[0/5000][100/535][1] Loss_D: -0.278794 Loss_G: 0.134857 Loss_D_real: -0.146110 Loss_D_fake 0.132684
[0/5000][200/535][2] Loss_D: -0.317107 Loss_G: 0.152924 Loss_D_real: -0.165959 Loss_D_fake 0.151147
[0/5000][300/535][3] Loss_D: -0.323793 Loss_G: 0.157334 Loss_D_real: -0.168444 Loss_D_fake 0.155349
[0/5000][400/535][4] Loss_D: -0.329414 Loss_G: 0.159243 Loss_D_real: -0.172047 Loss_D_fake 0.157368
[0/5000][500/535][5] Loss_D: -0.331757 Loss_G: 0.160961 Loss_D_real: -0.172547 Loss_D_fake 0.159211
[0/5000][535/535][6] Loss_D: -0.328459 Loss_G: 0.159486 Loss_D_real: -0.170864 Loss_D_fake 0.157595
[1/5000][100/535][7] Loss_D: -0.331458 Loss_G: 0.160984 Loss_D_real: -0.172345 Loss_D_fake 0.159113
[1/5000][200/535][8] Loss_D: -0.331874 Loss_G: 0.161022 Loss_D_real: -0.172763 Loss_D_fake 0.159111
[1/5000][300/535][9] Loss_D: -0.331690 Loss_G: 0.160888 Loss_D_real: -0.172801 Loss_D_fake 0.158889
[1/5000][400/535][10] Loss_D: -0.330791 Loss_G: 0.161000 Loss_D_real: -0.172089 Loss_D_fake 0.158702
[1/5000][500/535][11] Loss_D: -0.331562 Loss_G: 0.161119 Loss_D_real: -0.172738 Loss_D_fake 0.158824
[1/5000][535/535][12] Loss_D: -0.331384 Loss_G: 0.159573 Loss_D_real: -0.173091 Loss_D_fake 0.158294
[2/5000][100/535][13] Loss_D: -0.330090 Loss_G: 0.159787 Loss_D_real: -0.171481 Loss_D_fake 0.158609
[2/5000][200/535][14] Loss_D: -0.330139 Loss_G: 0.159899 Loss_D_real: -0.171065 Loss_D_fake 0.159074
[2/5000][300/535][15] Loss_D: -0.330747 Loss_G: 0.160091 Loss_D_real: -0.171512 Loss_D_fake 0.159234
[2/5000][400/535][16] Loss_D: -0.330621 Loss_G: 0.160367 Loss_D_real: -0.171285 Loss_D_fake 0.159335
[2/5000][500/535][17] Loss_D: -0.330467 Loss_G: 0.160511 Loss_D_real: -0.171198 Loss_D_fake 0.159268
[2/5000][535/535][18] Loss_D: -0.326741 Loss_G: 0.160472 Loss_D_real: -0.168920 Loss_D_fake 0.157821
[3/5000][100/535][19] Loss_D: -0.328335 Loss_G: 0.160858 Loss_D_real: -0.170529 Loss_D_fake 0.157806
[3/5000][200/535][20] Loss_D: -0.329809 Loss_G: 0.160914 Loss_D_real: -0.171885 Loss_D_fake 0.157925
[3/5000][300/535][21] Loss_D: -0.328629 Loss_G: 0.160868 Loss_D_real: -0.170780 Loss_D_fake 0.157849
[3/5000][400/535][22] Loss_D: -0.328910 Loss_G: 0.160951 Loss_D_real: -0.170876 Loss_D_fake 0.158034
[3/5000][500/535][23] Loss_D: -0.329359 Loss_G: 0.160919 Loss_D_real: -0.171345 Loss_D_fake 0.158014
[3/5000][535/535][24] Loss_D: -0.328248 Loss_G: 0.159373 Loss_D_real: -0.169396 Loss_D_fake 0.158852
[4/5000][100/535][25] Loss_D: -0.327939 Loss_G: 0.159157 Loss_D_real: -0.169133 Loss_D_fake 0.158806
[4/5000][105/535][26] Loss_D: -0.326123 Loss_G: 0.160020 Loss_D_real: -0.169606 Loss_D_fake 0.156518
[4/5000][110/535][27] Loss_D: -0.325406 Loss_G: 0.157787 Loss_D_real: -0.168072 Loss_D_fake 0.157334
[4/5000][115/535][28] Loss_D: -0.325313 Loss_G: 0.158857 Loss_D_real: -0.170171 Loss_D_fake 0.155142
[4/5000][120/535][29] Loss_D: -0.322812 Loss_G: 0.156184 Loss_D_real: -0.166790 Loss_D_fake 0.156022
[4/5000][125/535][30] Loss_D: -0.321342 Loss_G: 0.157711 Loss_D_real: -0.168565 Loss_D_fake 0.152777
[4/5000][130/535][31] Loss_D: -0.320151 Loss_G: 0.154065 Loss_D_real: -0.165494 Loss_D_fake 0.154658
[4/5000][135/535][32] Loss_D: -0.317861 Loss_G: 0.155888 Loss_D_real: -0.166722 Loss_D_fake 0.151139
[4/5000][140/535][33] Loss_D: -0.317748 Loss_G: 0.152785 Loss_D_real: -0.164829 Loss_D_fake 0.152919
[4/5000][145/535][34] Loss_D: -0.314265 Loss_G: 0.154624 Loss_D_real: -0.165206 Loss_D_fake 0.149060
[4/5000][150/535][35] Loss_D: -0.313004 Loss_G: 0.151025 Loss_D_real: -0.161393 Loss_D_fake 0.151611
[4/5000][155/535][36] Loss_D: -0.313964 Loss_G: 0.153164 Loss_D_real: -0.164961 Loss_D_fake 0.149003
[4/5000][160/535][37] Loss_D: -0.312379 Loss_G: 0.150870 Loss_D_real: -0.161881 Loss_D_fake 0.150498
[4/5000][165/535][38] Loss_D: -0.311252 Loss_G: 0.152759 Loss_D_real: -0.163183 Loss_D_fake 0.148069
[4/5000][170/535][39] Loss_D: -0.309657 Loss_G: 0.149182 Loss_D_real: -0.159447 Loss_D_fake 0.150210
[4/5000][175/535][40] Loss_D: -0.308160 Loss_G: 0.152424 Loss_D_real: -0.160621 Loss_D_fake 0.147539
[4/5000][180/535][41] Loss_D: -0.309987 Loss_G: 0.150115 Loss_D_real: -0.160144 Loss_D_fake 0.149842
[4/5000][185/535][42] Loss_D: -0.308635 Loss_G: 0.152033 Loss_D_real: -0.160549 Loss_D_fake 0.148086
[4/5000][190/535][43] Loss_D: -0.309175 Loss_G: 0.149905 Loss_D_real: -0.159296 Loss_D_fake 0.149879
[4/5000][195/535][44] Loss_D: -0.308521 Loss_G: 0.152278 Loss_D_real: -0.160597 Loss_D_fake 0.147924
[4/5000][200/535][45] Loss_D: -0.306654 Loss_G: 0.149406 Loss_D_real: -0.156835 Loss_D_fake 0.149818
[4/5000][205/535][46] Loss_D: -0.307176 Loss_G: 0.151973 Loss_D_real: -0.159236 Loss_D_fake 0.147940
[4/5000][210/535][47] Loss_D: -0.308195 Loss_G: 0.150259 Loss_D_real: -0.158384 Loss_D_fake 0.149811
[4/5000][215/535][48] Loss_D: -0.306636 Loss_G: 0.152150 Loss_D_real: -0.158741 Loss_D_fake 0.147895
[4/5000][220/535][49] Loss_D: -0.306415 Loss_G: 0.149299 Loss_D_real: -0.156357 Loss_D_fake 0.150058
[4/5000][225/535][50] Loss_D: -0.305923 Loss_G: 0.152289 Loss_D_real: -0.158080 Loss_D_fake 0.147843
[4/5000][230/535][51] Loss_D: -0.307335 Loss_G: 0.150450 Loss_D_real: -0.157463 Loss_D_fake 0.149872
[4/5000][235/535][52] Loss_D: -0.306706 Loss_G: 0.151891 Loss_D_real: -0.158395 Loss_D_fake 0.148310
[4/5000][240/535][53] Loss_D: -0.305891 Loss_G: 0.150258 Loss_D_real: -0.156091 Loss_D_fake 0.149799
[4/5000][245/535][54] Loss_D: -0.307388 Loss_G: 0.152540 Loss_D_real: -0.158805 Loss_D_fake 0.148583
[4/5000][250/535][55] Loss_D: -0.304658 Loss_G: 0.148926 Loss_D_real: -0.154113 Loss_D_fake 0.150545
[4/5000][255/535][56] Loss_D: -0.305059 Loss_G: 0.152776 Loss_D_real: -0.157750 Loss_D_fake 0.147309
[4/5000][260/535][57] Loss_D: -0.306589 Loss_G: 0.150872 Loss_D_real: -0.156144 Loss_D_fake 0.150444
[4/5000][265/535][58] Loss_D: -0.305985 Loss_G: 0.152064 Loss_D_real: -0.156918 Loss_D_fake 0.149067
[4/5000][270/535][59] Loss_D: -0.307411 Loss_G: 0.151737 Loss_D_real: -0.157345 Loss_D_fake 0.150065
[4/5000][275/535][60] Loss_D: -0.304944 Loss_G: 0.151302 Loss_D_real: -0.155355 Loss_D_fake 0.149589
[4/5000][280/535][61] Loss_D: -0.307570 Loss_G: 0.151586 Loss_D_real: -0.157383 Loss_D_fake 0.150187
[4/5000][285/535][62] Loss_D: -0.307203 Loss_G: 0.153572 Loss_D_real: -0.158134 Loss_D_fake 0.149070
[4/5000][290/535][63] Loss_D: -0.305276 Loss_G: 0.149400 Loss_D_real: -0.153345 Loss_D_fake 0.151931
[4/5000][295/535][64] Loss_D: -0.305004 Loss_G: 0.154037 Loss_D_real: -0.157264 Loss_D_fake 0.147740
[4/5000][300/535][65] Loss_D: -0.308342 Loss_G: 0.151543 Loss_D_real: -0.156729 Loss_D_fake 0.151613
[4/5000][305/535][66] Loss_D: -0.307176 Loss_G: 0.153696 Loss_D_real: -0.157638 Loss_D_fake 0.149539
[4/5000][310/535][67] Loss_D: -0.307622 Loss_G: 0.152032 Loss_D_real: -0.155996 Loss_D_fake 0.151625
[4/5000][315/535][68] Loss_D: -0.307679 Loss_G: 0.153338 Loss_D_real: -0.157137 Loss_D_fake 0.150542
[4/5000][320/535][69] Loss_D: -0.306057 Loss_G: 0.152150 Loss_D_real: -0.154906 Loss_D_fake 0.151150
[4/5000][325/535][70] Loss_D: -0.307766 Loss_G: 0.153624 Loss_D_real: -0.156985 Loss_D_fake 0.150782
[4/5000][330/535][71] Loss_D: -0.307708 Loss_G: 0.151617 Loss_D_real: -0.155489 Loss_D_fake 0.152219
[4/5000][335/535][72] Loss_D: -0.305962 Loss_G: 0.155435 Loss_D_real: -0.157381 Loss_D_fake 0.148581
[4/5000][340/535][73] Loss_D: -0.306599 Loss_G: 0.150355 Loss_D_real: -0.153491 Loss_D_fake 0.153108
[4/5000][345/535][74] Loss_D: -0.308064 Loss_G: 0.154527 Loss_D_real: -0.157738 Loss_D_fake 0.150326
[4/5000][350/535][75] Loss_D: -0.308252 Loss_G: 0.153017 Loss_D_real: -0.156285 Loss_D_fake 0.151967
[4/5000][355/535][76] Loss_D: -0.308696 Loss_G: 0.154183 Loss_D_real: -0.157224 Loss_D_fake 0.151473
[4/5000][360/535][77] Loss_D: -0.308980 Loss_G: 0.152745 Loss_D_real: -0.156514 Loss_D_fake 0.152465
[4/5000][365/535][78] Loss_D: -0.307449 Loss_G: 0.155774 Loss_D_real: -0.157866 Loss_D_fake 0.149583
[4/5000][370/535][79] Loss_D: -0.308094 Loss_G: 0.151074 Loss_D_real: -0.154252 Loss_D_fake 0.153842
[4/5000][375/535][80] Loss_D: -0.308221 Loss_G: 0.155195 Loss_D_real: -0.157621 Loss_D_fake 0.150599
[4/5000][380/535][81] Loss_D: -0.308767 Loss_G: 0.153386 Loss_D_real: -0.156269 Loss_D_fake 0.152497
[4/5000][385/535][82] Loss_D: -0.308995 Loss_G: 0.154604 Loss_D_real: -0.157121 Loss_D_fake 0.151873
[4/5000][390/535][83] Loss_D: -0.310409 Loss_G: 0.154483 Loss_D_real: -0.157964 Loss_D_fake 0.152445
[4/5000][395/535][84] Loss_D: -0.311482 Loss_G: 0.155193 Loss_D_real: -0.159061 Loss_D_fake 0.152421
[4/5000][400/535][85] Loss_D: -0.309166 Loss_G: 0.153151 Loss_D_real: -0.155719 Loss_D_fake 0.153448
[4/5000][405/535][86] Loss_D: -0.308219 Loss_G: 0.157131 Loss_D_real: -0.158144 Loss_D_fake 0.150075
[4/5000][410/535][87] Loss_D: -0.308236 Loss_G: 0.151933 Loss_D_real: -0.153348 Loss_D_fake 0.154888
[4/5000][415/535][88] Loss_D: -0.310835 Loss_G: 0.156382 Loss_D_real: -0.159333 Loss_D_fake 0.151502
[4/5000][420/535][89] Loss_D: -0.311057 Loss_G: 0.154381 Loss_D_real: -0.157282 Loss_D_fake 0.153774
[4/5000][425/535][90] Loss_D: -0.311147 Loss_G: 0.156236 Loss_D_real: -0.158721 Loss_D_fake 0.152426
[4/5000][430/535][91] Loss_D: -0.312509 Loss_G: 0.154950 Loss_D_real: -0.158435 Loss_D_fake 0.154075
[4/5000][435/535][92] Loss_D: -0.311951 Loss_G: 0.156263 Loss_D_real: -0.158527 Loss_D_fake 0.153424
[4/5000][440/535][93] Loss_D: -0.311293 Loss_G: 0.154546 Loss_D_real: -0.156638 Loss_D_fake 0.154656
[4/5000][445/535][94] Loss_D: -0.308623 Loss_G: 0.157486 Loss_D_real: -0.157479 Loss_D_fake 0.151144
[4/5000][450/535][95] Loss_D: -0.310805 Loss_G: 0.153572 Loss_D_real: -0.155468 Loss_D_fake 0.155337
[4/5000][455/535][96] Loss_D: -0.311303 Loss_G: 0.156783 Loss_D_real: -0.158474 Loss_D_fake 0.152830
[4/5000][460/535][97] Loss_D: -0.312986 Loss_G: 0.155378 Loss_D_real: -0.158313 Loss_D_fake 0.154673
[4/5000][465/535][98] Loss_D: -0.312023 Loss_G: 0.156900 Loss_D_real: -0.158856 Loss_D_fake 0.153167
[4/5000][470/535][99] Loss_D: -0.312358 Loss_G: 0.155035 Loss_D_real: -0.157485 Loss_D_fake 0.154873
[4/5000][475/535][100] Loss_D: -0.311521 Loss_G: 0.157166 Loss_D_real: -0.158134 Loss_D_fake 0.153387
[4/5000][480/535][101] Loss_D: -0.311848 Loss_G: 0.154639 Loss_D_real: -0.156655 Loss_D_fake 0.155192
[4/5000][485/535][102] Loss_D: -0.310040 Loss_G: 0.158022 Loss_D_real: -0.157756 Loss_D_fake 0.152284
[4/5000][490/535][103] Loss_D: -0.308309 Loss_G: 0.152491 Loss_D_real: -0.152036 Loss_D_fake 0.156273
[4/5000][495/535][104] Loss_D: -0.311512 Loss_G: 0.157155 Loss_D_real: -0.158752 Loss_D_fake 0.152759
[4/5000][500/535][105] Loss_D: -0.312583 Loss_G: 0.155307 Loss_D_real: -0.157344 Loss_D_fake 0.155239
[4/5000][505/535][106] Loss_D: -0.312693 Loss_G: 0.157252 Loss_D_real: -0.159240 Loss_D_fake 0.153453
[4/5000][510/535][107] Loss_D: -0.311185 Loss_G: 0.154544 Loss_D_real: -0.155917 Loss_D_fake 0.155267
[4/5000][515/535][108] Loss_D: -0.310613 Loss_G: 0.157947 Loss_D_real: -0.158446 Loss_D_fake 0.152167
[4/5000][520/535][109] Loss_D: -0.311793 Loss_G: 0.154413 Loss_D_real: -0.156453 Loss_D_fake 0.155340
[4/5000][525/535][110] Loss_D: -0.311844 Loss_G: 0.157879 Loss_D_real: -0.159231 Loss_D_fake 0.152613
[4/5000][530/535][111] Loss_D: -0.311364 Loss_G: 0.154336 Loss_D_real: -0.155797 Loss_D_fake 0.155568
[4/5000][535/535][112] Loss_D: -0.312114 Loss_G: 0.157328 Loss_D_real: -0.159657 Loss_D_fake 0.152457
[5/5000][5/535][113] Loss_D: -0.311324 Loss_G: 0.154589 Loss_D_real: -0.156212 Loss_D_fake 0.155113
[5/5000][10/535][114] Loss_D: -0.310006 Loss_G: 0.156686 Loss_D_real: -0.157414 Loss_D_fake 0.152592
[5/5000][15/535][115] Loss_D: -0.310603 Loss_G: 0.154196 Loss_D_real: -0.155883 Loss_D_fake 0.154721
[5/5000][20/535][116] Loss_D: -0.309300 Loss_G: 0.156785 Loss_D_real: -0.157301 Loss_D_fake 0.151999
[5/5000][25/535][117] Loss_D: -0.309169 Loss_G: 0.152323 Loss_D_real: -0.153919 Loss_D_fake 0.155249
[5/5000][30/535][118] Loss_D: -0.310123 Loss_G: 0.157592 Loss_D_real: -0.159148 Loss_D_fake 0.150975
[5/5000][35/535][119] Loss_D: -0.309832 Loss_G: 0.153576 Loss_D_real: -0.155160 Loss_D_fake 0.154672
[5/5000][40/535][120] Loss_D: -0.310425 Loss_G: 0.156877 Loss_D_real: -0.158521 Loss_D_fake 0.151904
[5/5000][45/535][121] Loss_D: -0.310227 Loss_G: 0.154485 Loss_D_real: -0.155657 Loss_D_fake 0.154570
[5/5000][50/535][122] Loss_D: -0.310937 Loss_G: 0.156801 Loss_D_real: -0.158548 Loss_D_fake 0.152389
[5/5000][55/535][123] Loss_D: -0.310771 Loss_G: 0.154686 Loss_D_real: -0.156326 Loss_D_fake 0.154446
[5/5000][60/535][124] Loss_D: -0.310595 Loss_G: 0.156874 Loss_D_real: -0.157905 Loss_D_fake 0.152689
[5/5000][65/535][125] Loss_D: -0.312597 Loss_G: 0.154404 Loss_D_real: -0.157329 Loss_D_fake 0.155269
[5/5000][70/535][126] Loss_D: -0.310027 Loss_G: 0.157847 Loss_D_real: -0.158959 Loss_D_fake 0.151068
[5/5000][75/535][127] Loss_D: -0.309707 Loss_G: 0.153896 Loss_D_real: -0.154686 Loss_D_fake 0.155021
[5/5000][80/535][128] Loss_D: -0.310353 Loss_G: 0.156543 Loss_D_real: -0.157431 Loss_D_fake 0.152922
[5/5000][85/535][129] Loss_D: -0.311310 Loss_G: 0.154913 Loss_D_real: -0.156617 Loss_D_fake 0.154693
[5/5000][90/535][130] Loss_D: -0.312009 Loss_G: 0.157123 Loss_D_real: -0.159246 Loss_D_fake 0.152762
[5/5000][95/535][131] Loss_D: -0.311232 Loss_G: 0.154708 Loss_D_real: -0.156311 Loss_D_fake 0.154921
[5/5000][100/535][132] Loss_D: -0.311409 Loss_G: 0.157151 Loss_D_real: -0.158523 Loss_D_fake 0.152886
[5/5000][105/535][133] Loss_D: -0.311715 Loss_G: 0.154438 Loss_D_real: -0.156332 Loss_D_fake 0.155383
[5/5000][110/535][134] Loss_D: -0.310754 Loss_G: 0.157389 Loss_D_real: -0.157913 Loss_D_fake 0.152841
[5/5000][115/535][135] Loss_D: -0.311576 Loss_G: 0.155191 Loss_D_real: -0.156303 Loss_D_fake 0.155273
[5/5000][120/535][136] Loss_D: -0.311484 Loss_G: 0.157142 Loss_D_real: -0.158035 Loss_D_fake 0.153449
[5/5000][125/535][137] Loss_D: -0.312782 Loss_G: 0.155188 Loss_D_real: -0.157545 Loss_D_fake 0.155237
[5/5000][130/535][138] Loss_D: -0.311193 Loss_G: 0.157447 Loss_D_real: -0.158418 Loss_D_fake 0.152774
[5/5000][135/535][139] Loss_D: -0.312388 Loss_G: 0.155363 Loss_D_real: -0.157237 Loss_D_fake 0.155151
[5/5000][140/535][140] Loss_D: -0.313433 Loss_G: 0.157290 Loss_D_real: -0.159715 Loss_D_fake 0.153719
[5/5000][145/535][141] Loss_D: -0.313239 Loss_G: 0.156251 Loss_D_real: -0.158521 Loss_D_fake 0.154718
[5/5000][150/535][142] Loss_D: -0.312480 Loss_G: 0.156292 Loss_D_real: -0.158022 Loss_D_fake 0.154458
[5/5000][155/535][143] Loss_D: -0.312619 Loss_G: 0.156905 Loss_D_real: -0.158565 Loss_D_fake 0.154054
[5/5000][160/535][144] Loss_D: -0.311062 Loss_G: 0.154662 Loss_D_real: -0.155879 Loss_D_fake 0.155183
[5/5000][165/535][145] Loss_D: -0.308309 Loss_G: 0.157479 Loss_D_real: -0.156999 Loss_D_fake 0.151310
[5/5000][170/535][146] Loss_D: -0.309620 Loss_G: 0.154378 Loss_D_real: -0.154586 Loss_D_fake 0.155034
[5/5000][175/535][147] Loss_D: -0.312065 Loss_G: 0.156562 Loss_D_real: -0.158375 Loss_D_fake 0.153690
[5/5000][180/535][148] Loss_D: -0.312237 Loss_G: 0.155656 Loss_D_real: -0.157819 Loss_D_fake 0.154418
[5/5000][185/535][149] Loss_D: -0.312092 Loss_G: 0.156972 Loss_D_real: -0.159084 Loss_D_fake 0.153009
[5/5000][190/535][150] Loss_D: -0.311022 Loss_G: 0.154085 Loss_D_real: -0.156226 Loss_D_fake 0.154797
[5/5000][195/535][151] Loss_D: -0.308023 Loss_G: 0.156881 Loss_D_real: -0.156259 Loss_D_fake 0.151764
[5/5000][200/535][152] Loss_D: -0.309414 Loss_G: 0.154355 Loss_D_real: -0.155303 Loss_D_fake 0.154110
[5/5000][205/535][153] Loss_D: -0.309951 Loss_G: 0.156223 Loss_D_real: -0.157146 Loss_D_fake 0.152805
[5/5000][210/535][154] Loss_D: -0.309226 Loss_G: 0.154829 Loss_D_real: -0.155135 Loss_D_fake 0.154091
[5/5000][215/535][155] Loss_D: -0.310634 Loss_G: 0.156632 Loss_D_real: -0.157751 Loss_D_fake 0.152883
[5/5000][220/535][156] Loss_D: -0.309033 Loss_G: 0.153315 Loss_D_real: -0.154006 Loss_D_fake 0.155026
[5/5000][225/535][157] Loss_D: -0.306619 Loss_G: 0.157005 Loss_D_real: -0.155510 Loss_D_fake 0.151109
[5/5000][230/535][158] Loss_D: -0.309635 Loss_G: 0.154193 Loss_D_real: -0.155078 Loss_D_fake 0.154557
[5/5000][235/535][159] Loss_D: -0.309457 Loss_G: 0.156776 Loss_D_real: -0.157773 Loss_D_fake 0.151684
[5/5000][240/535][160] Loss_D: -0.306734 Loss_G: 0.152979 Loss_D_real: -0.152419 Loss_D_fake 0.154315
[5/5000][245/535][161] Loss_D: -0.307638 Loss_G: 0.156181 Loss_D_real: -0.156231 Loss_D_fake 0.151407
[5/5000][250/535][162] Loss_D: -0.309416 Loss_G: 0.154524 Loss_D_real: -0.155858 Loss_D_fake 0.153557
[5/5000][255/535][163] Loss_D: -0.307145 Loss_G: 0.155879 Loss_D_real: -0.155031 Loss_D_fake 0.152114
[5/5000][260/535][164] Loss_D: -0.308002 Loss_G: 0.152920 Loss_D_real: -0.153961 Loss_D_fake 0.154041
[5/5000][265/535][165] Loss_D: -0.306035 Loss_G: 0.156262 Loss_D_real: -0.155029 Loss_D_fake 0.151006
[5/5000][270/535][166] Loss_D: -0.306931 Loss_G: 0.153372 Loss_D_real: -0.152981 Loss_D_fake 0.153950
[5/5000][275/535][167] Loss_D: -0.305452 Loss_G: 0.155877 Loss_D_real: -0.153847 Loss_D_fake 0.151605
[5/5000][280/535][168] Loss_D: -0.304270 Loss_G: 0.153110 Loss_D_real: -0.151089 Loss_D_fake 0.153181
[5/5000][285/535][169] Loss_D: -0.307627 Loss_G: 0.155337 Loss_D_real: -0.155599 Loss_D_fake 0.152028
[5/5000][290/535][170] Loss_D: -0.307477 Loss_G: 0.154703 Loss_D_real: -0.154091 Loss_D_fake 0.153386
[5/5000][295/535][171] Loss_D: -0.308846 Loss_G: 0.154937 Loss_D_real: -0.155385 Loss_D_fake 0.153461
[5/5000][300/535][172] Loss_D: -0.309266 Loss_G: 0.155562 Loss_D_real: -0.156233 Loss_D_fake 0.153033
[5/5000][305/535][173] Loss_D: -0.309736 Loss_G: 0.154826 Loss_D_real: -0.156226 Loss_D_fake 0.153509
[5/5000][310/535][174] Loss_D: -0.307753 Loss_G: 0.156229 Loss_D_real: -0.155649 Loss_D_fake 0.152104
[5/5000][315/535][175] Loss_D: -0.304675 Loss_G: 0.151593 Loss_D_real: -0.151024 Loss_D_fake 0.153651
[5/5000][320/535][176] Loss_D: -0.305429 Loss_G: 0.154977 Loss_D_real: -0.154459 Loss_D_fake 0.150970
[5/5000][325/535][177] Loss_D: -0.305800 Loss_G: 0.153738 Loss_D_real: -0.153088 Loss_D_fake 0.152712
[5/5000][330/535][178] Loss_D: -0.305348 Loss_G: 0.154317 Loss_D_real: -0.153706 Loss_D_fake 0.151642
[5/5000][335/535][179] Loss_D: -0.306271 Loss_G: 0.152302 Loss_D_real: -0.153881 Loss_D_fake 0.152391
[5/5000][340/535][180] Loss_D: -0.303631 Loss_G: 0.154158 Loss_D_real: -0.153774 Loss_D_fake 0.149857
[5/5000][345/535][181] Loss_D: -0.303536 Loss_G: 0.151660 Loss_D_real: -0.152214 Loss_D_fake 0.151322
[5/5000][350/535][182] Loss_D: -0.304390 Loss_G: 0.153370 Loss_D_real: -0.154502 Loss_D_fake 0.149887
[5/5000][355/535][183] Loss_D: -0.302920 Loss_G: 0.151527 Loss_D_real: -0.152375 Loss_D_fake 0.150545
[5/5000][360/535][184] Loss_D: -0.301249 Loss_G: 0.151701 Loss_D_real: -0.152384 Loss_D_fake 0.148865
[5/5000][365/535][185] Loss_D: -0.301852 Loss_G: 0.150724 Loss_D_real: -0.152445 Loss_D_fake 0.149407
[5/5000][370/535][186] Loss_D: -0.300567 Loss_G: 0.151816 Loss_D_real: -0.152837 Loss_D_fake 0.147730
[5/5000][375/535][187] Loss_D: -0.299731 Loss_G: 0.147437 Loss_D_real: -0.150106 Loss_D_fake 0.149624
[5/5000][380/535][188] Loss_D: -0.298560 Loss_G: 0.150756 Loss_D_real: -0.152916 Loss_D_fake 0.145645
[5/5000][385/535][189] Loss_D: -0.298858 Loss_G: 0.147855 Loss_D_real: -0.150806 Loss_D_fake 0.148052
[5/5000][390/535][190] Loss_D: -0.291200 Loss_G: 0.148080 Loss_D_real: -0.147998 Loss_D_fake 0.143202
[5/5000][395/535][191] Loss_D: -0.296295 Loss_G: 0.147008 Loss_D_real: -0.150339 Loss_D_fake 0.145956
[5/5000][400/535][192] Loss_D: -0.296354 Loss_G: 0.148340 Loss_D_real: -0.151594 Loss_D_fake 0.144760
[5/5000][405/535][193] Loss_D: -0.294760 Loss_G: 0.145067 Loss_D_real: -0.148894 Loss_D_fake 0.145867
[5/5000][410/535][194] Loss_D: -0.290755 Loss_G: 0.147886 Loss_D_real: -0.149382 Loss_D_fake 0.141373
[5/5000][415/535][195] Loss_D: -0.291614 Loss_G: 0.144124 Loss_D_real: -0.147276 Loss_D_fake 0.144338
[5/5000][420/535][196] Loss_D: -0.294065 Loss_G: 0.146325 Loss_D_real: -0.151234 Loss_D_fake 0.142830
[5/5000][425/535][197] Loss_D: -0.292676 Loss_G: 0.144635 Loss_D_real: -0.148369 Loss_D_fake 0.144306
[5/5000][430/535][198] Loss_D: -0.289722 Loss_G: 0.145776 Loss_D_real: -0.148688 Loss_D_fake 0.141033
[5/5000][435/535][199] Loss_D: -0.288173 Loss_G: 0.141419 Loss_D_real: -0.145094 Loss_D_fake 0.143079
[5/5000][440/535][200] Loss_D: -0.287435 Loss_G: 0.145371 Loss_D_real: -0.148435 Loss_D_fake 0.139000
[5/5000][445/535][201] Loss_D: -0.289050 Loss_G: 0.141668 Loss_D_real: -0.146091 Loss_D_fake 0.142959
[5/5000][450/535][202] Loss_D: -0.289640 Loss_G: 0.145108 Loss_D_real: -0.149357 Loss_D_fake 0.140284
[5/5000][455/535][203] Loss_D: -0.285229 Loss_G: 0.139239 Loss_D_real: -0.142913 Loss_D_fake 0.142316
[5/5000][460/535][204] Loss_D: -0.283659 Loss_G: 0.142386 Loss_D_real: -0.147499 Loss_D_fake 0.136160
[5/5000][465/535][205] Loss_D: -0.287845 Loss_G: 0.141822 Loss_D_real: -0.147362 Loss_D_fake 0.140483
[5/5000][470/535][206] Loss_D: -0.286281 Loss_G: 0.141928 Loss_D_real: -0.146402 Loss_D_fake 0.139879
[5/5000][475/535][207] Loss_D: -0.285639 Loss_G: 0.140050 Loss_D_real: -0.145654 Loss_D_fake 0.139985
[5/5000][480/535][208] Loss_D: -0.280503 Loss_G: 0.141327 Loss_D_real: -0.145331 Loss_D_fake 0.135172
[5/5000][485/535][209] Loss_D: -0.285209 Loss_G: 0.139341 Loss_D_real: -0.145201 Loss_D_fake 0.140008
[5/5000][490/535][210] Loss_D: -0.284267 Loss_G: 0.142279 Loss_D_real: -0.147333 Loss_D_fake 0.136934
[5/5000][495/535][211] Loss_D: -0.280787 Loss_G: 0.136173 Loss_D_real: -0.141914 Loss_D_fake 0.138873
[5/5000][500/535][212] Loss_D: -0.280232 Loss_G: 0.139488 Loss_D_real: -0.144756 Loss_D_fake 0.135476
[5/5000][505/535][213] Loss_D: -0.280402 Loss_G: 0.139233 Loss_D_real: -0.144349 Loss_D_fake 0.136053
[5/5000][510/535][214] Loss_D: -0.282088 Loss_G: 0.139433 Loss_D_real: -0.144535 Loss_D_fake 0.137553
[5/5000][515/535][215] Loss_D: -0.280633 Loss_G: 0.137355 Loss_D_real: -0.143002 Loss_D_fake 0.137631
[5/5000][520/535][216] Loss_D: -0.273166 Loss_G: 0.139682 Loss_D_real: -0.142575 Loss_D_fake 0.130591
[5/5000][525/535][217] Loss_D: -0.281024 Loss_G: 0.136125 Loss_D_real: -0.143212 Loss_D_fake 0.137813
[5/5000][530/535][218] Loss_D: -0.278577 Loss_G: 0.140326 Loss_D_real: -0.144663 Loss_D_fake 0.133914
[5/5000][535/535][219] Loss_D: -0.276295 Loss_G: 0.134323 Loss_D_real: -0.139082 Loss_D_fake 0.137213
[6/5000][5/535][220] Loss_D: -0.273001 Loss_G: 0.136273 Loss_D_real: -0.141196 Loss_D_fake 0.131806
[6/5000][10/535][221] Loss_D: -0.273966 Loss_G: 0.135298 Loss_D_real: -0.140411 Loss_D_fake 0.133556
[6/5000][15/535][222] Loss_D: -0.277120 Loss_G: 0.137167 Loss_D_real: -0.143488 Loss_D_fake 0.133632
[6/5000][20/535][223] Loss_D: -0.274729 Loss_G: 0.134668 Loss_D_real: -0.139976 Loss_D_fake 0.134753
[6/5000][25/535][224] Loss_D: -0.274565 Loss_G: 0.137032 Loss_D_real: -0.142923 Loss_D_fake 0.131642
[6/5000][30/535][225] Loss_D: -0.271900 Loss_G: 0.131746 Loss_D_real: -0.138068 Loss_D_fake 0.133831
[6/5000][35/535][226] Loss_D: -0.272581 Loss_G: 0.136668 Loss_D_real: -0.141718 Loss_D_fake 0.130862
[6/5000][40/535][227] Loss_D: -0.270029 Loss_G: 0.131671 Loss_D_real: -0.136091 Loss_D_fake 0.133938
[6/5000][45/535][228] Loss_D: -0.270118 Loss_G: 0.135342 Loss_D_real: -0.140024 Loss_D_fake 0.130094
[6/5000][50/535][229] Loss_D: -0.270931 Loss_G: 0.132987 Loss_D_real: -0.139495 Loss_D_fake 0.131435
[6/5000][55/535][230] Loss_D: -0.270698 Loss_G: 0.133103 Loss_D_real: -0.139491 Loss_D_fake 0.131207
[6/5000][60/535][231] Loss_D: -0.269193 Loss_G: 0.132004 Loss_D_real: -0.137776 Loss_D_fake 0.131417
[6/5000][65/535][232] Loss_D: -0.268021 Loss_G: 0.135720 Loss_D_real: -0.139930 Loss_D_fake 0.128091
[6/5000][70/535][233] Loss_D: -0.268676 Loss_G: 0.129306 Loss_D_real: -0.135226 Loss_D_fake 0.133449
[6/5000][75/535][234] Loss_D: -0.267165 Loss_G: 0.135244 Loss_D_real: -0.139304 Loss_D_fake 0.127861
[6/5000][80/535][235] Loss_D: -0.268306 Loss_G: 0.130632 Loss_D_real: -0.136690 Loss_D_fake 0.131616
[6/5000][85/535][236] Loss_D: -0.266826 Loss_G: 0.132712 Loss_D_real: -0.137717 Loss_D_fake 0.129109
[6/5000][90/535][237] Loss_D: -0.270242 Loss_G: 0.133563 Loss_D_real: -0.139563 Loss_D_fake 0.130679
[6/5000][95/535][238] Loss_D: -0.266754 Loss_G: 0.132093 Loss_D_real: -0.136605 Loss_D_fake 0.130149
[6/5000][100/535][239] Loss_D: -0.265676 Loss_G: 0.129038 Loss_D_real: -0.134850 Loss_D_fake 0.130825
[6/5000][105/535][240] Loss_D: -0.262573 Loss_G: 0.133114 Loss_D_real: -0.137334 Loss_D_fake 0.125239
[6/5000][110/535][241] Loss_D: -0.267746 Loss_G: 0.129900 Loss_D_real: -0.136214 Loss_D_fake 0.131532
[6/5000][115/535][242] Loss_D: -0.268504 Loss_G: 0.134151 Loss_D_real: -0.138995 Loss_D_fake 0.129509
[6/5000][120/535][243] Loss_D: -0.267991 Loss_G: 0.129723 Loss_D_real: -0.136229 Loss_D_fake 0.131763
[6/5000][125/535][244] Loss_D: -0.261350 Loss_G: 0.131886 Loss_D_real: -0.136105 Loss_D_fake 0.125245
[6/5000][130/535][245] Loss_D: -0.263119 Loss_G: 0.128918 Loss_D_real: -0.134314 Loss_D_fake 0.128805
[6/5000][135/535][246] Loss_D: -0.267581 Loss_G: 0.132159 Loss_D_real: -0.137770 Loss_D_fake 0.129811
[6/5000][140/535][247] Loss_D: -0.268456 Loss_G: 0.132618 Loss_D_real: -0.137741 Loss_D_fake 0.130716
[6/5000][145/535][248] Loss_D: -0.266478 Loss_G: 0.132667 Loss_D_real: -0.136836 Loss_D_fake 0.129642
[6/5000][150/535][249] Loss_D: -0.259847 Loss_G: 0.123502 Loss_D_real: -0.129950 Loss_D_fake 0.129897
[6/5000][155/535][250] Loss_D: -0.258934 Loss_G: 0.132057 Loss_D_real: -0.135389 Loss_D_fake 0.123546
[6/5000][160/535][251] Loss_D: -0.266553 Loss_G: 0.130710 Loss_D_real: -0.135933 Loss_D_fake 0.130620
[6/5000][165/535][252] Loss_D: -0.265939 Loss_G: 0.131880 Loss_D_real: -0.136253 Loss_D_fake 0.129686
[6/5000][170/535][253] Loss_D: -0.263081 Loss_G: 0.128449 Loss_D_real: -0.133052 Loss_D_fake 0.130029
[6/5000][175/535][254] Loss_D: -0.258545 Loss_G: 0.130936 Loss_D_real: -0.134118 Loss_D_fake 0.124428
[6/5000][180/535][255] Loss_D: -0.263095 Loss_G: 0.127140 Loss_D_real: -0.132799 Loss_D_fake 0.130296
[6/5000][185/535][256] Loss_D: -0.263353 Loss_G: 0.134244 Loss_D_real: -0.136867 Loss_D_fake 0.126486
[6/5000][190/535][257] Loss_D: -0.261642 Loss_G: 0.126257 Loss_D_real: -0.130099 Loss_D_fake 0.131543
[6/5000][195/535][258] Loss_D: -0.258541 Loss_G: 0.131836 Loss_D_real: -0.133377 Loss_D_fake 0.125164
[6/5000][200/535][259] Loss_D: -0.260300 Loss_G: 0.128191 Loss_D_real: -0.132103 Loss_D_fake 0.128197
[6/5000][205/535][260] Loss_D: -0.262281 Loss_G: 0.131338 Loss_D_real: -0.135092 Loss_D_fake 0.127190
[6/5000][210/535][261] Loss_D: -0.262051 Loss_G: 0.129027 Loss_D_real: -0.131751 Loss_D_fake 0.130300
[6/5000][215/535][262] Loss_D: -0.264263 Loss_G: 0.132920 Loss_D_real: -0.136140 Loss_D_fake 0.128122
[6/5000][220/535][263] Loss_D: -0.262195 Loss_G: 0.127770 Loss_D_real: -0.132071 Loss_D_fake 0.130123
[6/5000][225/535][264] Loss_D: -0.255500 Loss_G: 0.130728 Loss_D_real: -0.132448 Loss_D_fake 0.123051
[6/5000][230/535][265] Loss_D: -0.261809 Loss_G: 0.128977 Loss_D_real: -0.131994 Loss_D_fake 0.129816
[6/5000][235/535][266] Loss_D: -0.264174 Loss_G: 0.132309 Loss_D_real: -0.135430 Loss_D_fake 0.128744
[6/5000][240/535][267] Loss_D: -0.262002 Loss_G: 0.129088 Loss_D_real: -0.132052 Loss_D_fake 0.129950
[6/5000][245/535][268] Loss_D: -0.256212 Loss_G: 0.129593 Loss_D_real: -0.130961 Loss_D_fake 0.125252
[6/5000][250/535][269] Loss_D: -0.262717 Loss_G: 0.129852 Loss_D_real: -0.133559 Loss_D_fake 0.129158
[6/5000][255/535][270] Loss_D: -0.262920 Loss_G: 0.132826 Loss_D_real: -0.134382 Loss_D_fake 0.128538
[6/5000][260/535][271] Loss_D: -0.260150 Loss_G: 0.126424 Loss_D_real: -0.129510 Loss_D_fake 0.130640
[6/5000][265/535][272] Loss_D: -0.257606 Loss_G: 0.132370 Loss_D_real: -0.133830 Loss_D_fake 0.123776
[6/5000][270/535][273] Loss_D: -0.257847 Loss_G: 0.127988 Loss_D_real: -0.128810 Loss_D_fake 0.129037
[6/5000][275/535][274] Loss_D: -0.260960 Loss_G: 0.131134 Loss_D_real: -0.133786 Loss_D_fake 0.127174
[6/5000][280/535][275] Loss_D: -0.260661 Loss_G: 0.130313 Loss_D_real: -0.132245 Loss_D_fake 0.128416
[6/5000][285/535][276] Loss_D: -0.261988 Loss_G: 0.131733 Loss_D_real: -0.133847 Loss_D_fake 0.128141
[6/5000][290/535][277] Loss_D: -0.262168 Loss_G: 0.129407 Loss_D_real: -0.132562 Loss_D_fake 0.129606
[6/5000][295/535][278] Loss_D: -0.259160 Loss_G: 0.132454 Loss_D_real: -0.134590 Loss_D_fake 0.124570
[6/5000][300/535][279] Loss_D: -0.258498 Loss_G: 0.126519 Loss_D_real: -0.128019 Loss_D_fake 0.130479
[6/5000][305/535][280] Loss_D: -0.261119 Loss_G: 0.133232 Loss_D_real: -0.134674 Loss_D_fake 0.126445
[6/5000][310/535][281] Loss_D: -0.259911 Loss_G: 0.128852 Loss_D_real: -0.129904 Loss_D_fake 0.130007
[6/5000][315/535][282] Loss_D: -0.259092 Loss_G: 0.131424 Loss_D_real: -0.132882 Loss_D_fake 0.126210
[6/5000][320/535][283] Loss_D: -0.256155 Loss_G: 0.128220 Loss_D_real: -0.128645 Loss_D_fake 0.127510
[6/5000][325/535][284] Loss_D: -0.258861 Loss_G: 0.130966 Loss_D_real: -0.131244 Loss_D_fake 0.127616
[6/5000][330/535][285] Loss_D: -0.259876 Loss_G: 0.129191 Loss_D_real: -0.130223 Loss_D_fake 0.129653
[6/5000][335/535][286] Loss_D: -0.260784 Loss_G: 0.132287 Loss_D_real: -0.132940 Loss_D_fake 0.127844
[6/5000][340/535][287] Loss_D: -0.255930 Loss_G: 0.123315 Loss_D_real: -0.125158 Loss_D_fake 0.130772
[6/5000][345/535][288] Loss_D: -0.251932 Loss_G: 0.130908 Loss_D_real: -0.130567 Loss_D_fake 0.121365
[6/5000][350/535][289] Loss_D: -0.257641 Loss_G: 0.130308 Loss_D_real: -0.130086 Loss_D_fake 0.127555
[6/5000][355/535][290] Loss_D: -0.258853 Loss_G: 0.128519 Loss_D_real: -0.129729 Loss_D_fake 0.129124
[6/5000][360/535][291] Loss_D: -0.256758 Loss_G: 0.129555 Loss_D_real: -0.129948 Loss_D_fake 0.126810
[6/5000][365/535][292] Loss_D: -0.257205 Loss_G: 0.130728 Loss_D_real: -0.130680 Loss_D_fake 0.126526
[6/5000][370/535][293] Loss_D: -0.253657 Loss_G: 0.123144 Loss_D_real: -0.125000 Loss_D_fake 0.128657
[6/5000][375/535][294] Loss_D: -0.252293 Loss_G: 0.131564 Loss_D_real: -0.130349 Loss_D_fake 0.121943
[6/5000][380/535][295] Loss_D: -0.255871 Loss_G: 0.126857 Loss_D_real: -0.128096 Loss_D_fake 0.127774
[6/5000][385/535][296] Loss_D: -0.258618 Loss_G: 0.130143 Loss_D_real: -0.131406 Loss_D_fake 0.127212
[6/5000][390/535][297] Loss_D: -0.257251 Loss_G: 0.128608 Loss_D_real: -0.129393 Loss_D_fake 0.127858
[6/5000][395/535][298] Loss_D: -0.254639 Loss_G: 0.128112 Loss_D_real: -0.128962 Loss_D_fake 0.125677
[6/5000][400/535][299] Loss_D: -0.250632 Loss_G: 0.125117 Loss_D_real: -0.126272 Loss_D_fake 0.124360
[6/5000][405/535][300] Loss_D: -0.250940 Loss_G: 0.130529 Loss_D_real: -0.129414 Loss_D_fake 0.121526
[6/5000][410/535][301] Loss_D: -0.252901 Loss_G: 0.123738 Loss_D_real: -0.125065 Loss_D_fake 0.127836
[6/5000][415/535][302] Loss_D: -0.253135 Loss_G: 0.132386 Loss_D_real: -0.130511 Loss_D_fake 0.122625
[6/5000][420/535][303] Loss_D: -0.252854 Loss_G: 0.123027 Loss_D_real: -0.124361 Loss_D_fake 0.128493
[6/5000][425/535][304] Loss_D: -0.250184 Loss_G: 0.130432 Loss_D_real: -0.129296 Loss_D_fake 0.120888
[6/5000][430/535][305] Loss_D: -0.245369 Loss_G: 0.122878 Loss_D_real: -0.121930 Loss_D_fake 0.123439
[6/5000][435/535][306] Loss_D: -0.245569 Loss_G: 0.124384 Loss_D_real: -0.123657 Loss_D_fake 0.121912
[6/5000][440/535][307] Loss_D: -0.249542 Loss_G: 0.126003 Loss_D_real: -0.125560 Loss_D_fake 0.123982
[6/5000][445/535][308] Loss_D: -0.252134 Loss_G: 0.125833 Loss_D_real: -0.127229 Loss_D_fake 0.124905
[6/5000][450/535][309] Loss_D: -0.249211 Loss_G: 0.124087 Loss_D_real: -0.124822 Loss_D_fake 0.124389
[6/5000][455/535][310] Loss_D: -0.240944 Loss_G: 0.122894 Loss_D_real: -0.121750 Loss_D_fake 0.119193
[6/5000][460/535][311] Loss_D: -0.243802 Loss_G: 0.119377 Loss_D_real: -0.121350 Loss_D_fake 0.122452
[6/5000][465/535][312] Loss_D: -0.244894 Loss_G: 0.127380 Loss_D_real: -0.127010 Loss_D_fake 0.117884
[6/5000][470/535][313] Loss_D: -0.243539 Loss_G: 0.116585 Loss_D_real: -0.118597 Loss_D_fake 0.124942
[6/5000][475/535][314] Loss_D: -0.243241 Loss_G: 0.127643 Loss_D_real: -0.127531 Loss_D_fake 0.115710
[6/5000][480/535][315] Loss_D: -0.241260 Loss_G: 0.119945 Loss_D_real: -0.120687 Loss_D_fake 0.120572
[6/5000][485/535][316] Loss_D: -0.234742 Loss_G: 0.118726 Loss_D_real: -0.119212 Loss_D_fake 0.115531
[6/5000][490/535][317] Loss_D: -0.237719 Loss_G: 0.118847 Loss_D_real: -0.119123 Loss_D_fake 0.118596
[6/5000][495/535][318] Loss_D: -0.238120 Loss_G: 0.120502 Loss_D_real: -0.121042 Loss_D_fake 0.117078
[6/5000][500/535][319] Loss_D: -0.238911 Loss_G: 0.115494 Loss_D_real: -0.118341 Loss_D_fake 0.120570
[6/5000][505/535][320] Loss_D: -0.232122 Loss_G: 0.123770 Loss_D_real: -0.123156 Loss_D_fake 0.108966
[6/5000][510/535][321] Loss_D: -0.232234 Loss_G: 0.115487 Loss_D_real: -0.115309 Loss_D_fake 0.116925
[6/5000][515/535][322] Loss_D: -0.228671 Loss_G: 0.110788 Loss_D_real: -0.113441 Loss_D_fake 0.115230
[6/5000][520/535][323] Loss_D: -0.228613 Loss_G: 0.119744 Loss_D_real: -0.118687 Loss_D_fake 0.109925
[6/5000][525/535][324] Loss_D: -0.230374 Loss_G: 0.109719 Loss_D_real: -0.113498 Loss_D_fake 0.116876
[6/5000][530/535][325] Loss_D: -0.229105 Loss_G: 0.116383 Loss_D_real: -0.117662 Loss_D_fake 0.111442
[6/5000][535/535][326] Loss_D: -0.220691 Loss_G: 0.116229 Loss_D_real: -0.114167 Loss_D_fake 0.106524
[7/5000][5/535][327] Loss_D: -0.217721 Loss_G: 0.104316 Loss_D_real: -0.104728 Loss_D_fake 0.112993
[7/5000][10/535][328] Loss_D: -0.225599 Loss_G: 0.116979 Loss_D_real: -0.117674 Loss_D_fake 0.107925
[7/5000][15/535][329] Loss_D: -0.226394 Loss_G: 0.112900 Loss_D_real: -0.113977 Loss_D_fake 0.112417
[7/5000][20/535][330] Loss_D: -0.221767 Loss_G: 0.111462 Loss_D_real: -0.111998 Loss_D_fake 0.109770
[7/5000][25/535][331] Loss_D: -0.218008 Loss_G: 0.108165 Loss_D_real: -0.108221 Loss_D_fake 0.109787
[7/5000][30/535][332] Loss_D: -0.217810 Loss_G: 0.111051 Loss_D_real: -0.111785 Loss_D_fake 0.106024
[7/5000][35/535][333] Loss_D: -0.222048 Loss_G: 0.109784 Loss_D_real: -0.111947 Loss_D_fake 0.110101
[7/5000][40/535][334] Loss_D: -0.218342 Loss_G: 0.115103 Loss_D_real: -0.113440 Loss_D_fake 0.104902
[7/5000][45/535][335] Loss_D: -0.218236 Loss_G: 0.102481 Loss_D_real: -0.104815 Loss_D_fake 0.113422
[7/5000][50/535][336] Loss_D: -0.215772 Loss_G: 0.112991 Loss_D_real: -0.112630 Loss_D_fake 0.103143
[7/5000][55/535][337] Loss_D: -0.220879 Loss_G: 0.109891 Loss_D_real: -0.111503 Loss_D_fake 0.109376
[7/5000][60/535][338] Loss_D: -0.217345 Loss_G: 0.103547 Loss_D_real: -0.106603 Loss_D_fake 0.110742
[7/5000][65/535][339] Loss_D: -0.217635 Loss_G: 0.116493 Loss_D_real: -0.114560 Loss_D_fake 0.103075
[7/5000][70/535][340] Loss_D: -0.220986 Loss_G: 0.104747 Loss_D_real: -0.108644 Loss_D_fake 0.112342
[7/5000][75/535][341] Loss_D: -0.213929 Loss_G: 0.111743 Loss_D_real: -0.111358 Loss_D_fake 0.102571
[7/5000][80/535][342] Loss_D: -0.209883 Loss_G: 0.114228 Loss_D_real: -0.110661 Loss_D_fake 0.099222
[7/5000][85/535][343] Loss_D: -0.209801 Loss_G: 0.097625 Loss_D_real: -0.098046 Loss_D_fake 0.111754
[7/5000][90/535][344] Loss_D: -0.216553 Loss_G: 0.114961 Loss_D_real: -0.115871 Loss_D_fake 0.100682
[7/5000][95/535][345] Loss_D: -0.216015 Loss_G: 0.104924 Loss_D_real: -0.106010 Loss_D_fake 0.110004
[7/5000][100/535][346] Loss_D: -0.214348 Loss_G: 0.108900 Loss_D_real: -0.108942 Loss_D_fake 0.105407
[7/5000][105/535][347] Loss_D: -0.210967 Loss_G: 0.107107 Loss_D_real: -0.107505 Loss_D_fake 0.103462
[7/5000][110/535][348] Loss_D: -0.213610 Loss_G: 0.106289 Loss_D_real: -0.107011 Loss_D_fake 0.106599
[7/5000][115/535][349] Loss_D: -0.214319 Loss_G: 0.111464 Loss_D_real: -0.110343 Loss_D_fake 0.103977
[7/5000][120/535][350] Loss_D: -0.214183 Loss_G: 0.106636 Loss_D_real: -0.107871 Loss_D_fake 0.106313
[7/5000][125/535][351] Loss_D: -0.210663 Loss_G: 0.100082 Loss_D_real: -0.102396 Loss_D_fake 0.108267
[7/5000][130/535][352] Loss_D: -0.206448 Loss_G: 0.117266 Loss_D_real: -0.114599 Loss_D_fake 0.091849
[7/5000][135/535][353] Loss_D: -0.212489 Loss_G: 0.098624 Loss_D_real: -0.099912 Loss_D_fake 0.112577
[7/5000][140/535][354] Loss_D: -0.208450 Loss_G: 0.113209 Loss_D_real: -0.110948 Loss_D_fake 0.097502
[7/5000][145/535][355] Loss_D: -0.208516 Loss_G: 0.100432 Loss_D_real: -0.098963 Loss_D_fake 0.109553
[7/5000][150/535][356] Loss_D: -0.206209 Loss_G: 0.106278 Loss_D_real: -0.105535 Loss_D_fake 0.100674
[7/5000][155/535][357] Loss_D: -0.209914 Loss_G: 0.106970 Loss_D_real: -0.107277 Loss_D_fake 0.102637
[7/5000][160/535][358] Loss_D: -0.209221 Loss_G: 0.107864 Loss_D_real: -0.104989 Loss_D_fake 0.104233
[7/5000][165/535][359] Loss_D: -0.207148 Loss_G: 0.102685 Loss_D_real: -0.102181 Loss_D_fake 0.104967
[7/5000][170/535][360] Loss_D: -0.205232 Loss_G: 0.108004 Loss_D_real: -0.106137 Loss_D_fake 0.099095
[7/5000][175/535][361] Loss_D: -0.202305 Loss_G: 0.092744 Loss_D_real: -0.092564 Loss_D_fake 0.109741
[7/5000][180/535][362] Loss_D: -0.201945 Loss_G: 0.114652 Loss_D_real: -0.108919 Loss_D_fake 0.093026
[7/5000][185/535][363] Loss_D: -0.207020 Loss_G: 0.101153 Loss_D_real: -0.099685 Loss_D_fake 0.107335
[7/5000][190/535][364] Loss_D: -0.203316 Loss_G: 0.102665 Loss_D_real: -0.100775 Loss_D_fake 0.102541
[7/5000][195/535][365] Loss_D: -0.200281 Loss_G: 0.104713 Loss_D_real: -0.099549 Loss_D_fake 0.100732
[7/5000][200/535][366] Loss_D: -0.208080 Loss_G: 0.103947 Loss_D_real: -0.103754 Loss_D_fake 0.104326
[7/5000][205/535][367] Loss_D: -0.206174 Loss_G: 0.102847 Loss_D_real: -0.101079 Loss_D_fake 0.105096
[7/5000][210/535][368] Loss_D: -0.200045 Loss_G: 0.111131 Loss_D_real: -0.106079 Loss_D_fake 0.093966
[7/5000][215/535][369] Loss_D: -0.200681 Loss_G: 0.090150 Loss_D_real: -0.091366 Loss_D_fake 0.109314
[7/5000][220/535][370] Loss_D: -0.199039 Loss_G: 0.115070 Loss_D_real: -0.110736 Loss_D_fake 0.088302
[7/5000][225/535][371] Loss_D: -0.202595 Loss_G: 0.092524 Loss_D_real: -0.091500 Loss_D_fake 0.111095
[7/5000][230/535][372] Loss_D: -0.205688 Loss_G: 0.111138 Loss_D_real: -0.108474 Loss_D_fake 0.097214
[7/5000][235/535][373] Loss_D: -0.196045 Loss_G: 0.100449 Loss_D_real: -0.094858 Loss_D_fake 0.101187
[7/5000][240/535][374] Loss_D: -0.199666 Loss_G: 0.097953 Loss_D_real: -0.096600 Loss_D_fake 0.103065
[7/5000][245/535][375] Loss_D: -0.197378 Loss_G: 0.110955 Loss_D_real: -0.106306 Loss_D_fake 0.091072
[7/5000][250/535][376] Loss_D: -0.200595 Loss_G: 0.094351 Loss_D_real: -0.094713 Loss_D_fake 0.105881
[7/5000][255/535][377] Loss_D: -0.198264 Loss_G: 0.104703 Loss_D_real: -0.100516 Loss_D_fake 0.097748
[7/5000][260/535][378] Loss_D: -0.200835 Loss_G: 0.100205 Loss_D_real: -0.098485 Loss_D_fake 0.102350
[7/5000][265/535][379] Loss_D: -0.199763 Loss_G: 0.107332 Loss_D_real: -0.103563 Loss_D_fake 0.096200
[7/5000][270/535][380] Loss_D: -0.199324 Loss_G: 0.103478 Loss_D_real: -0.099856 Loss_D_fake 0.099468
[7/5000][275/535][381] Loss_D: -0.197410 Loss_G: 0.103795 Loss_D_real: -0.100684 Loss_D_fake 0.096725
[7/5000][280/535][382] Loss_D: -0.197188 Loss_G: 0.095206 Loss_D_real: -0.093320 Loss_D_fake 0.103868
[7/5000][285/535][383] Loss_D: -0.196560 Loss_G: 0.106120 Loss_D_real: -0.100754 Loss_D_fake 0.095806
[7/5000][290/535][384] Loss_D: -0.197082 Loss_G: 0.094605 Loss_D_real: -0.093197 Loss_D_fake 0.103885
[7/5000][295/535][385] Loss_D: -0.194356 Loss_G: 0.108862 Loss_D_real: -0.103207 Loss_D_fake 0.091149
[7/5000][300/535][386] Loss_D: -0.195373 Loss_G: 0.085466 Loss_D_real: -0.086499 Loss_D_fake 0.108874
[7/5000][305/535][387] Loss_D: -0.193350 Loss_G: 0.113593 Loss_D_real: -0.109012 Loss_D_fake 0.084338
[7/5000][310/535][388] Loss_D: -0.195220 Loss_G: 0.086344 Loss_D_real: -0.085579 Loss_D_fake 0.109641
[7/5000][315/535][389] Loss_D: -0.188195 Loss_G: 0.107421 Loss_D_real: -0.100412 Loss_D_fake 0.087783
[7/5000][320/535][390] Loss_D: -0.191184 Loss_G: 0.099788 Loss_D_real: -0.094375 Loss_D_fake 0.096809
[7/5000][325/535][391] Loss_D: -0.193113 Loss_G: 0.096885 Loss_D_real: -0.093110 Loss_D_fake 0.100004
[7/5000][330/535][392] Loss_D: -0.192095 Loss_G: 0.102341 Loss_D_real: -0.098207 Loss_D_fake 0.093887
[7/5000][335/535][393] Loss_D: -0.189779 Loss_G: 0.092785 Loss_D_real: -0.087844 Loss_D_fake 0.101936
[7/5000][340/535][394] Loss_D: -0.189617 Loss_G: 0.101952 Loss_D_real: -0.096499 Loss_D_fake 0.093118
[7/5000][345/535][395] Loss_D: -0.190364 Loss_G: 0.099813 Loss_D_real: -0.094481 Loss_D_fake 0.095882
[7/5000][350/535][396] Loss_D: -0.191151 Loss_G: 0.098275 Loss_D_real: -0.095686 Loss_D_fake 0.095465
[7/5000][355/535][397] Loss_D: -0.189673 Loss_G: 0.096643 Loss_D_real: -0.093637 Loss_D_fake 0.096036
[7/5000][360/535][398] Loss_D: -0.186786 Loss_G: 0.096622 Loss_D_real: -0.091372 Loss_D_fake 0.095414
[7/5000][365/535][399] Loss_D: -0.189380 Loss_G: 0.095304 Loss_D_real: -0.091690 Loss_D_fake 0.097690
[7/5000][370/535][400] Loss_D: -0.185514 Loss_G: 0.102562 Loss_D_real: -0.095856 Loss_D_fake 0.089659
[7/5000][375/535][401] Loss_D: -0.185744 Loss_G: 0.084530 Loss_D_real: -0.083893 Loss_D_fake 0.101851
[7/5000][380/535][402] Loss_D: -0.185729 Loss_G: 0.112037 Loss_D_real: -0.104661 Loss_D_fake 0.081068
[7/5000][385/535][403] Loss_D: -0.181652 Loss_G: 0.078541 Loss_D_real: -0.075163 Loss_D_fake 0.106490
[7/5000][390/535][404] Loss_D: -0.183448 Loss_G: 0.109390 Loss_D_real: -0.101901 Loss_D_fake 0.081547
[7/5000][395/535][405] Loss_D: -0.184818 Loss_G: 0.089374 Loss_D_real: -0.085295 Loss_D_fake 0.099523
[7/5000][400/535][406] Loss_D: -0.181828 Loss_G: 0.091976 Loss_D_real: -0.088003 Loss_D_fake 0.093825
[7/5000][405/535][407] Loss_D: -0.181784 Loss_G: 0.101402 Loss_D_real: -0.093675 Loss_D_fake 0.088108
[7/5000][410/535][408] Loss_D: -0.183375 Loss_G: 0.094354 Loss_D_real: -0.088185 Loss_D_fake 0.095191
[7/5000][415/535][409] Loss_D: -0.181447 Loss_G: 0.092782 Loss_D_real: -0.086882 Loss_D_fake 0.094564
[7/5000][420/535][410] Loss_D: -0.182463 Loss_G: 0.086123 Loss_D_real: -0.084390 Loss_D_fake 0.098073
[7/5000][425/535][411] Loss_D: -0.182990 Loss_G: 0.106045 Loss_D_real: -0.098565 Loss_D_fake 0.084425
[7/5000][430/535][412] Loss_D: -0.184537 Loss_G: 0.085117 Loss_D_real: -0.083278 Loss_D_fake 0.101259
[7/5000][435/535][413] Loss_D: -0.181090 Loss_G: 0.103999 Loss_D_real: -0.095448 Loss_D_fake 0.085642
[7/5000][440/535][414] Loss_D: -0.177609 Loss_G: 0.087252 Loss_D_real: -0.081397 Loss_D_fake 0.096211
[7/5000][445/535][415] Loss_D: -0.182647 Loss_G: 0.100126 Loss_D_real: -0.092783 Loss_D_fake 0.089864
[7/5000][450/535][416] Loss_D: -0.177174 Loss_G: 0.095322 Loss_D_real: -0.087292 Loss_D_fake 0.089882
[7/5000][455/535][417] Loss_D: -0.178523 Loss_G: 0.086228 Loss_D_real: -0.083710 Loss_D_fake 0.094813
[7/5000][460/535][418] Loss_D: -0.175505 Loss_G: 0.101663 Loss_D_real: -0.092312 Loss_D_fake 0.083193
[7/5000][465/535][419] Loss_D: -0.178038 Loss_G: 0.082143 Loss_D_real: -0.079900 Loss_D_fake 0.098138
[7/5000][470/535][420] Loss_D: -0.177107 Loss_G: 0.098693 Loss_D_real: -0.091252 Loss_D_fake 0.085855
[7/5000][475/535][421] Loss_D: -0.175771 Loss_G: 0.100916 Loss_D_real: -0.090546 Loss_D_fake 0.085225
[7/5000][480/535][422] Loss_D: -0.170243 Loss_G: 0.072752 Loss_D_real: -0.070211 Loss_D_fake 0.100033
[7/5000][485/535][423] Loss_D: -0.176174 Loss_G: 0.107497 Loss_D_real: -0.100266 Loss_D_fake 0.075908
[7/5000][490/535][424] Loss_D: -0.176915 Loss_G: 0.080926 Loss_D_real: -0.078326 Loss_D_fake 0.098589
[7/5000][495/535][425] Loss_D: -0.173205 Loss_G: 0.093188 Loss_D_real: -0.086512 Loss_D_fake 0.086693
[7/5000][500/535][426] Loss_D: -0.173593 Loss_G: 0.093978 Loss_D_real: -0.086218 Loss_D_fake 0.087375
[7/5000][505/535][427] Loss_D: -0.175081 Loss_G: 0.087456 Loss_D_real: -0.082198 Loss_D_fake 0.092883
[7/5000][510/535][428] Loss_D: -0.172555 Loss_G: 0.093950 Loss_D_real: -0.085638 Loss_D_fake 0.086917
[7/5000][515/535][429] Loss_D: -0.173349 Loss_G: 0.087147 Loss_D_real: -0.081617 Loss_D_fake 0.091732
[7/5000][520/535][430] Loss_D: -0.170925 Loss_G: 0.088330 Loss_D_real: -0.082429 Loss_D_fake 0.088496
[7/5000][525/535][431] Loss_D: -0.172597 Loss_G: 0.097557 Loss_D_real: -0.089605 Loss_D_fake 0.082992
[7/5000][530/535][432] Loss_D: -0.167868 Loss_G: 0.069329 Loss_D_real: -0.067880 Loss_D_fake 0.099987
[7/5000][535/535][433] Loss_D: -0.167382 Loss_G: 0.109354 Loss_D_real: -0.101535 Loss_D_fake 0.065847
/home/ojoyot/workspace/INSA/gan/wasserstein-gan-develop/main.py:236: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
  fake = netG(Variable(fixed_noise, volatile=True))
[8/5000][5/535][434] Loss_D: -0.171164 Loss_G: 0.073051 Loss_D_real: -0.068524 Loss_D_fake 0.102640
[8/5000][10/535][435] Loss_D: -0.169995 Loss_G: 0.095208 Loss_D_real: -0.087245 Loss_D_fake 0.082750
[8/5000][15/535][436] Loss_D: -0.169819 Loss_G: 0.089363 Loss_D_real: -0.081497 Loss_D_fake 0.088322
[8/5000][20/535][437] Loss_D: -0.169348 Loss_G: 0.084996 Loss_D_real: -0.078534 Loss_D_fake 0.090814
[8/5000][25/535][438] Loss_D: -0.168721 Loss_G: 0.094598 Loss_D_real: -0.085254 Loss_D_fake 0.083467
[8/5000][30/535][439] Loss_D: -0.166741 Loss_G: 0.080949 Loss_D_real: -0.075563 Loss_D_fake 0.091178
[8/5000][35/535][440] Loss_D: -0.164632 Loss_G: 0.089900 Loss_D_real: -0.080761 Loss_D_fake 0.083871
[8/5000][40/535][441] Loss_D: -0.167054 Loss_G: 0.092541 Loss_D_real: -0.083235 Loss_D_fake 0.083820
[8/5000][45/535][442] Loss_D: -0.168918 Loss_G: 0.083473 Loss_D_real: -0.076441 Loss_D_fake 0.092478
[8/5000][50/535][443] Loss_D: -0.167201 Loss_G: 0.090752 Loss_D_real: -0.082649 Loss_D_fake 0.084552
[8/5000][55/535][444] Loss_D: -0.167934 Loss_G: 0.090409 Loss_D_real: -0.081818 Loss_D_fake 0.086117
[8/5000][60/535][445] Loss_D: -0.167233 Loss_G: 0.084491 Loss_D_real: -0.078535 Loss_D_fake 0.088699
[8/5000][65/535][446] Loss_D: -0.167930 Loss_G: 0.099251 Loss_D_real: -0.088024 Loss_D_fake 0.079906
[8/5000][70/535][447] Loss_D: -0.164676 Loss_G: 0.074130 Loss_D_real: -0.068395 Loss_D_fake 0.096281
[8/5000][75/535][448] Loss_D: -0.166105 Loss_G: 0.102199 Loss_D_real: -0.091097 Loss_D_fake 0.075009
[8/5000][80/535][449] Loss_D: -0.162735 Loss_G: 0.079204 Loss_D_real: -0.071324 Loss_D_fake 0.091411
[8/5000][85/535][450] Loss_D: -0.168048 Loss_G: 0.086250 Loss_D_real: -0.079779 Loss_D_fake 0.088269
[8/5000][90/535][451] Loss_D: -0.163098 Loss_G: 0.095460 Loss_D_real: -0.084232 Loss_D_fake 0.078866
[8/5000][95/535][452] Loss_D: -0.166242 Loss_G: 0.075202 Loss_D_real: -0.070948 Loss_D_fake 0.095294
[8/5000][100/535][453] Loss_D: -0.166242 Loss_G: 0.100738 Loss_D_real: -0.088079 Loss_D_fake 0.078162
[8/5000][105/535][454] Loss_D: -0.165644 Loss_G: 0.077126 Loss_D_real: -0.070320 Loss_D_fake 0.095324
[8/5000][110/535][455] Loss_D: -0.163632 Loss_G: 0.095617 Loss_D_real: -0.084916 Loss_D_fake 0.078716
[8/5000][115/535][456] Loss_D: -0.162594 Loss_G: 0.080351 Loss_D_real: -0.071578 Loss_D_fake 0.091016
[8/5000][120/535][457] Loss_D: -0.160337 Loss_G: 0.074187 Loss_D_real: -0.072279 Loss_D_fake 0.088058
[8/5000][125/535][458] Loss_D: -0.160165 Loss_G: 0.099046 Loss_D_real: -0.088391 Loss_D_fake 0.071774
[8/5000][130/535][459] Loss_D: -0.163952 Loss_G: 0.076918 Loss_D_real: -0.071446 Loss_D_fake 0.092506
[8/5000][135/535][460] Loss_D: -0.160250 Loss_G: 0.085249 Loss_D_real: -0.076280 Loss_D_fake 0.083970
[8/5000][140/535][461] Loss_D: -0.159083 Loss_G: 0.089817 Loss_D_real: -0.078762 Loss_D_fake 0.080321
[8/5000][145/535][462] Loss_D: -0.163062 Loss_G: 0.088092 Loss_D_real: -0.079051 Loss_D_fake 0.084011
[8/5000][150/535][463] Loss_D: -0.158542 Loss_G: 0.083804 Loss_D_real: -0.074588 Loss_D_fake 0.083954
[8/5000][155/535][464] Loss_D: -0.163852 Loss_G: 0.088442 Loss_D_real: -0.078895 Loss_D_fake 0.084957
[8/5000][160/535][465] Loss_D: -0.158752 Loss_G: 0.078819 Loss_D_real: -0.071282 Loss_D_fake 0.087469
[8/5000][165/535][466] Loss_D: -0.159989 Loss_G: 0.101656 Loss_D_real: -0.090848 Loss_D_fake 0.069141
[8/5000][170/535][467] Loss_D: -0.155510 Loss_G: 0.061841 Loss_D_real: -0.057264 Loss_D_fake 0.098246
[8/5000][175/535][468] Loss_D: -0.159043 Loss_G: 0.100582 Loss_D_real: -0.088826 Loss_D_fake 0.070217
[8/5000][180/535][469] Loss_D: -0.155886 Loss_G: 0.072542 Loss_D_real: -0.061779 Loss_D_fake 0.094106
[8/5000][185/535][470] Loss_D: -0.156933 Loss_G: 0.083934 Loss_D_real: -0.072161 Loss_D_fake 0.084772
[8/5000][190/535][471] Loss_D: -0.160038 Loss_G: 0.091281 Loss_D_real: -0.081078 Loss_D_fake 0.078960
[8/5000][195/535][472] Loss_D: -0.157878 Loss_G: 0.088110 Loss_D_real: -0.078045 Loss_D_fake 0.079833
[8/5000][200/535][473] Loss_D: -0.159785 Loss_G: 0.088035 Loss_D_real: -0.078034 Loss_D_fake 0.081752
[8/5000][205/535][474] Loss_D: -0.159911 Loss_G: 0.087117 Loss_D_real: -0.078437 Loss_D_fake 0.081474
[8/5000][210/535][475] Loss_D: -0.161660 Loss_G: 0.089487 Loss_D_real: -0.080735 Loss_D_fake 0.080924
[8/5000][215/535][476] Loss_D: -0.154169 Loss_G: 0.077536 Loss_D_real: -0.069332 Loss_D_fake 0.084838
[8/5000][220/535][477] Loss_D: -0.154105 Loss_G: 0.091213 Loss_D_real: -0.077590 Loss_D_fake 0.076515
[8/5000][225/535][478] Loss_D: -0.158731 Loss_G: 0.075673 Loss_D_real: -0.069123 Loss_D_fake 0.089608
[8/5000][230/535][479] Loss_D: -0.154080 Loss_G: 0.086787 Loss_D_real: -0.076766 Loss_D_fake 0.077314
[8/5000][235/535][480] Loss_D: -0.154568 Loss_G: 0.086547 Loss_D_real: -0.076966 Loss_D_fake 0.077602
[8/5000][240/535][481] Loss_D: -0.153399 Loss_G: 0.078558 Loss_D_real: -0.069909 Loss_D_fake 0.083490
[8/5000][245/535][482] Loss_D: -0.155703 Loss_G: 0.083298 Loss_D_real: -0.073955 Loss_D_fake 0.081747
[8/5000][250/535][483] Loss_D: -0.154910 Loss_G: 0.085095 Loss_D_real: -0.074930 Loss_D_fake 0.079980
[8/5000][255/535][484] Loss_D: -0.155359 Loss_G: 0.084990 Loss_D_real: -0.073711 Loss_D_fake 0.081648
[8/5000][260/535][485] Loss_D: -0.158581 Loss_G: 0.091906 Loss_D_real: -0.079203 Loss_D_fake 0.079378
[8/5000][265/535][486] Loss_D: -0.150870 Loss_G: 0.070865 Loss_D_real: -0.064557 Loss_D_fake 0.086313
[8/5000][270/535][487] Loss_D: -0.155131 Loss_G: 0.098852 Loss_D_real: -0.085306 Loss_D_fake 0.069825
[8/5000][275/535][488] Loss_D: -0.156895 Loss_G: 0.061809 Loss_D_real: -0.060425 Loss_D_fake 0.096469
[8/5000][280/535][489] Loss_D: -0.148822 Loss_G: 0.097708 Loss_D_real: -0.084572 Loss_D_fake 0.064250
[8/5000][285/535][490] Loss_D: -0.152586 Loss_G: 0.074069 Loss_D_real: -0.062904 Loss_D_fake 0.089682
[8/5000][290/535][491] Loss_D: -0.154406 Loss_G: 0.082067 Loss_D_real: -0.072408 Loss_D_fake 0.081998
[8/5000][295/535][492] Loss_D: -0.156080 Loss_G: 0.089133 Loss_D_real: -0.079838 Loss_D_fake 0.076242
[8/5000][300/535][493] Loss_D: -0.150236 Loss_G: 0.075695 Loss_D_real: -0.064843 Loss_D_fake 0.085393
[8/5000][305/535][494] Loss_D: -0.157361 Loss_G: 0.087491 Loss_D_real: -0.079422 Loss_D_fake 0.077939
[8/5000][310/535][495] Loss_D: -0.150262 Loss_G: 0.078000 Loss_D_real: -0.069370 Loss_D_fake 0.080893
[8/5000][315/535][496] Loss_D: -0.153682 Loss_G: 0.080589 Loss_D_real: -0.071687 Loss_D_fake 0.081995
[8/5000][320/535][497] Loss_D: -0.159794 Loss_G: 0.081131 Loss_D_real: -0.072539 Loss_D_fake 0.087255
[8/5000][325/535][498] Loss_D: -0.163042 Loss_G: 0.085815 Loss_D_real: -0.077248 Loss_D_fake 0.085793
[8/5000][330/535][499] Loss_D: -0.151661 Loss_G: 0.071993 Loss_D_real: -0.063617 Loss_D_fake 0.088044
[8/5000][335/535][500] Loss_D: -0.155508 Loss_G: 0.088194 Loss_D_real: -0.077701 Loss_D_fake 0.077807
[8/5000][435/535][501] Loss_D: -0.180565 Loss_G: 0.095318 Loss_D_real: -0.084890 Loss_D_fake 0.095675
[8/5000][440/535][502] Loss_D: -0.175290 Loss_G: 0.080170 Loss_D_real: -0.074690 Loss_D_fake 0.100601
[8/5000][445/535][503] Loss_D: -0.179484 Loss_G: 0.106841 Loss_D_real: -0.094822 Loss_D_fake 0.084662
[8/5000][450/535][504] Loss_D: -0.177861 Loss_G: 0.084415 Loss_D_real: -0.076028 Loss_D_fake 0.101833
[8/5000][455/535][505] Loss_D: -0.180806 Loss_G: 0.099760 Loss_D_real: -0.090905 Loss_D_fake 0.089901
[8/5000][460/535][506] Loss_D: -0.175029 Loss_G: 0.100378 Loss_D_real: -0.086596 Loss_D_fake 0.088433
[8/5000][465/535][507] Loss_D: -0.180114 Loss_G: 0.090928 Loss_D_real: -0.082829 Loss_D_fake 0.097285
[8/5000][470/535][508] Loss_D: -0.173837 Loss_G: 0.093794 Loss_D_real: -0.083071 Loss_D_fake 0.090766
[8/5000][475/535][509] Loss_D: -0.170973 Loss_G: 0.099506 Loss_D_real: -0.086077 Loss_D_fake 0.084896
[8/5000][480/535][510] Loss_D: -0.173775 Loss_G: 0.086086 Loss_D_real: -0.075444 Loss_D_fake 0.098331
[8/5000][485/535][511] Loss_D: -0.180036 Loss_G: 0.098690 Loss_D_real: -0.088198 Loss_D_fake 0.091838
[8/5000][490/535][512] Loss_D: -0.173311 Loss_G: 0.085467 Loss_D_real: -0.075619 Loss_D_fake 0.097692
[8/5000][495/535][513] Loss_D: -0.173392 Loss_G: 0.097772 Loss_D_real: -0.083649 Loss_D_fake 0.089744
[8/5000][500/535][514] Loss_D: -0.180185 Loss_G: 0.096525 Loss_D_real: -0.085145 Loss_D_fake 0.095039
[8/5000][505/535][515] Loss_D: -0.179493 Loss_G: 0.089832 Loss_D_real: -0.082811 Loss_D_fake 0.096682
[8/5000][510/535][516] Loss_D: -0.174522 Loss_G: 0.107207 Loss_D_real: -0.093844 Loss_D_fake 0.080678
[8/5000][515/535][517] Loss_D: -0.172547 Loss_G: 0.072767 Loss_D_real: -0.065241 Loss_D_fake 0.107306
[8/5000][520/535][518] Loss_D: -0.176349 Loss_G: 0.107490 Loss_D_real: -0.094509 Loss_D_fake 0.081841
[8/5000][525/535][519] Loss_D: -0.173867 Loss_G: 0.091636 Loss_D_real: -0.078373 Loss_D_fake 0.095494
[8/5000][530/535][520] Loss_D: -0.178477 Loss_G: 0.099976 Loss_D_real: -0.086315 Loss_D_fake 0.092162
[8/5000][535/535][521] Loss_D: -0.162741 Loss_G: 0.073281 Loss_D_real: -0.065572 Loss_D_fake 0.097169
[9/5000][5/535][522] Loss_D: -0.175689 Loss_G: 0.101781 Loss_D_real: -0.091387 Loss_D_fake 0.084302
[9/5000][10/535][523] Loss_D: -0.172209 Loss_G: 0.091895 Loss_D_real: -0.078950 Loss_D_fake 0.093258
[9/5000][15/535][524] Loss_D: -0.174815 Loss_G: 0.099541 Loss_D_real: -0.087845 Loss_D_fake 0.086970
[9/5000][20/535][525] Loss_D: -0.173366 Loss_G: 0.087040 Loss_D_real: -0.077980 Loss_D_fake 0.095387
[9/5000][25/535][526] Loss_D: -0.172791 Loss_G: 0.097353 Loss_D_real: -0.085915 Loss_D_fake 0.086876
[9/5000][30/535][527] Loss_D: -0.171266 Loss_G: 0.090526 Loss_D_real: -0.078066 Loss_D_fake 0.093200
[9/5000][35/535][528] Loss_D: -0.170283 Loss_G: 0.089088 Loss_D_real: -0.078270 Loss_D_fake 0.092013
[9/5000][40/535][529] Loss_D: -0.173539 Loss_G: 0.097462 Loss_D_real: -0.083980 Loss_D_fake 0.089560
[9/5000][45/535][530] Loss_D: -0.173996 Loss_G: 0.086168 Loss_D_real: -0.075900 Loss_D_fake 0.098097
[9/5000][50/535][531] Loss_D: -0.166560 Loss_G: 0.089847 Loss_D_real: -0.076325 Loss_D_fake 0.090235
[9/5000][55/535][532] Loss_D: -0.172423 Loss_G: 0.098793 Loss_D_real: -0.084490 Loss_D_fake 0.087932
[9/5000][60/535][533] Loss_D: -0.173274 Loss_G: 0.087496 Loss_D_real: -0.078053 Loss_D_fake 0.095222
[9/5000][65/535][534] Loss_D: -0.166311 Loss_G: 0.086630 Loss_D_real: -0.074936 Loss_D_fake 0.091376
[9/5000][70/535][535] Loss_D: -0.169022 Loss_G: 0.103952 Loss_D_real: -0.090186 Loss_D_fake 0.078836
[9/5000][75/535][536] Loss_D: -0.170189 Loss_G: 0.076348 Loss_D_real: -0.064948 Loss_D_fake 0.105241
[9/5000][80/535][537] Loss_D: -0.169108 Loss_G: 0.101979 Loss_D_real: -0.086573 Loss_D_fake 0.082536
[9/5000][85/535][538] Loss_D: -0.172220 Loss_G: 0.082103 Loss_D_real: -0.068449 Loss_D_fake 0.103772
[9/5000][90/535][539] Loss_D: -0.166579 Loss_G: 0.093894 Loss_D_real: -0.082703 Loss_D_fake 0.083875
[9/5000][95/535][540] Loss_D: -0.167147 Loss_G: 0.094499 Loss_D_real: -0.078347 Loss_D_fake 0.088801
[9/5000][100/535][541] Loss_D: -0.172585 Loss_G: 0.088957 Loss_D_real: -0.077421 Loss_D_fake 0.095164
[9/5000][105/535][542] Loss_D: -0.167669 Loss_G: 0.089908 Loss_D_real: -0.076479 Loss_D_fake 0.091190
[9/5000][110/535][543] Loss_D: -0.171404 Loss_G: 0.094754 Loss_D_real: -0.081236 Loss_D_fake 0.090168
[9/5000][115/535][544] Loss_D: -0.166771 Loss_G: 0.093733 Loss_D_real: -0.080392 Loss_D_fake 0.086378
[9/5000][120/535][545] Loss_D: -0.168159 Loss_G: 0.092325 Loss_D_real: -0.078462 Loss_D_fake 0.089697
[9/5000][125/535][546] Loss_D: -0.175982 Loss_G: 0.089644 Loss_D_real: -0.079569 Loss_D_fake 0.096413
[9/5000][130/535][547] Loss_D: -0.170254 Loss_G: 0.098292 Loss_D_real: -0.083773 Loss_D_fake 0.086482
[9/5000][135/535][548] Loss_D: -0.166939 Loss_G: 0.081072 Loss_D_real: -0.068664 Loss_D_fake 0.098275
[9/5000][140/535][549] Loss_D: -0.169462 Loss_G: 0.104277 Loss_D_real: -0.089471 Loss_D_fake 0.079990
[9/5000][145/535][550] Loss_D: -0.168963 Loss_G: 0.088071 Loss_D_real: -0.075265 Loss_D_fake 0.093698
[9/5000][150/535][551] Loss_D: -0.172417 Loss_G: 0.090590 Loss_D_real: -0.081348 Loss_D_fake 0.091069
[9/5000][155/535][552] Loss_D: -0.168181 Loss_G: 0.096826 Loss_D_real: -0.080843 Loss_D_fake 0.087338
[9/5000][160/535][553] Loss_D: -0.169414 Loss_G: 0.076594 Loss_D_real: -0.068845 Loss_D_fake 0.100570
[9/5000][165/535][554] Loss_D: -0.170152 Loss_G: 0.105114 Loss_D_real: -0.092479 Loss_D_fake 0.077673
[9/5000][170/535][555] Loss_D: -0.175500 Loss_G: 0.086151 Loss_D_real: -0.076370 Loss_D_fake 0.099130
[9/5000][175/535][556] Loss_D: -0.168072 Loss_G: 0.092859 Loss_D_real: -0.079515 Loss_D_fake 0.088557
[9/5000][180/535][557] Loss_D: -0.163841 Loss_G: 0.090959 Loss_D_real: -0.077463 Loss_D_fake 0.086378
[9/5000][185/535][558] Loss_D: -0.170374 Loss_G: 0.080449 Loss_D_real: -0.069313 Loss_D_fake 0.101061
[9/5000][190/535][559] Loss_D: -0.167984 Loss_G: 0.098534 Loss_D_real: -0.084101 Loss_D_fake 0.083882
[9/5000][195/535][560] Loss_D: -0.171271 Loss_G: 0.099465 Loss_D_real: -0.085819 Loss_D_fake 0.085452
[9/5000][200/535][561] Loss_D: -0.170089 Loss_G: 0.088714 Loss_D_real: -0.074185 Loss_D_fake 0.095904
[9/5000][205/535][562] Loss_D: -0.166643 Loss_G: 0.092808 Loss_D_real: -0.078232 Loss_D_fake 0.088411
[9/5000][210/535][563] Loss_D: -0.165246 Loss_G: 0.097029 Loss_D_real: -0.081826 Loss_D_fake 0.083420
[9/5000][215/535][564] Loss_D: -0.171985 Loss_G: 0.084625 Loss_D_real: -0.074410 Loss_D_fake 0.097575
[9/5000][220/535][565] Loss_D: -0.163859 Loss_G: 0.082910 Loss_D_real: -0.068242 Loss_D_fake 0.095617
[9/5000][225/535][566] Loss_D: -0.166390 Loss_G: 0.092700 Loss_D_real: -0.078038 Loss_D_fake 0.088352
[9/5000][230/535][567] Loss_D: -0.170816 Loss_G: 0.095414 Loss_D_real: -0.082787 Loss_D_fake 0.088029
[9/5000][235/535][568] Loss_D: -0.163026 Loss_G: 0.075565 Loss_D_real: -0.065578 Loss_D_fake 0.097448
[9/5000][240/535][569] Loss_D: -0.169418 Loss_G: 0.104862 Loss_D_real: -0.091105 Loss_D_fake 0.078313
[9/5000][245/535][570] Loss_D: -0.167184 Loss_G: 0.075798 Loss_D_real: -0.065372 Loss_D_fake 0.101812
[9/5000][250/535][571] Loss_D: -0.169362 Loss_G: 0.103491 Loss_D_real: -0.087427 Loss_D_fake 0.081935
[9/5000][255/535][572] Loss_D: -0.167206 Loss_G: 0.090764 Loss_D_real: -0.075589 Loss_D_fake 0.091616
[9/5000][260/535][573] Loss_D: -0.163518 Loss_G: 0.079107 Loss_D_real: -0.064872 Loss_D_fake 0.098646
[9/5000][265/535][574] Loss_D: -0.176706 Loss_G: 0.103646 Loss_D_real: -0.091846 Loss_D_fake 0.084860
[9/5000][270/535][575] Loss_D: -0.168789 Loss_G: 0.090705 Loss_D_real: -0.078970 Loss_D_fake 0.089820
[9/5000][275/535][576] Loss_D: -0.175391 Loss_G: 0.099930 Loss_D_real: -0.088672 Loss_D_fake 0.086720
[9/5000][280/535][577] Loss_D: -0.174105 Loss_G: 0.090547 Loss_D_real: -0.078338 Loss_D_fake 0.095766
[9/5000][285/535][578] Loss_D: -0.169145 Loss_G: 0.086896 Loss_D_real: -0.075320 Loss_D_fake 0.093825
[9/5000][290/535][579] Loss_D: -0.159201 Loss_G: 0.083428 Loss_D_real: -0.067342 Loss_D_fake 0.091860
[9/5000][295/535][580] Loss_D: -0.170674 Loss_G: 0.090726 Loss_D_real: -0.079385 Loss_D_fake 0.091289
[9/5000][300/535][581] Loss_D: -0.168891 Loss_G: 0.089825 Loss_D_real: -0.076451 Loss_D_fake 0.092440
[9/5000][305/535][582] Loss_D: -0.169386 Loss_G: 0.099235 Loss_D_real: -0.086101 Loss_D_fake 0.083285
[9/5000][310/535][583] Loss_D: -0.170920 Loss_G: 0.086066 Loss_D_real: -0.074600 Loss_D_fake 0.096320
[9/5000][315/535][584] Loss_D: -0.172878 Loss_G: 0.099767 Loss_D_real: -0.088194 Loss_D_fake 0.084684
[9/5000][320/535][585] Loss_D: -0.167653 Loss_G: 0.088840 Loss_D_real: -0.075177 Loss_D_fake 0.092476
[9/5000][325/535][586] Loss_D: -0.176014 Loss_G: 0.087368 Loss_D_real: -0.081242 Loss_D_fake 0.094772
[9/5000][330/535][587] Loss_D: -0.166157 Loss_G: 0.088759 Loss_D_real: -0.074605 Loss_D_fake 0.091553
[9/5000][335/535][588] Loss_D: -0.169677 Loss_G: 0.088877 Loss_D_real: -0.077906 Loss_D_fake 0.091771
[9/5000][340/535][589] Loss_D: -0.176415 Loss_G: 0.092584 Loss_D_real: -0.083875 Loss_D_fake 0.092539
[9/5000][345/535][590] Loss_D: -0.170131 Loss_G: 0.088008 Loss_D_real: -0.079625 Loss_D_fake 0.090506
[9/5000][350/535][591] Loss_D: -0.176816 Loss_G: 0.086771 Loss_D_real: -0.080219 Loss_D_fake 0.096597
[9/5000][355/535][592] Loss_D: -0.165022 Loss_G: 0.101792 Loss_D_real: -0.089879 Loss_D_fake 0.075143
[9/5000][360/535][593] Loss_D: -0.175171 Loss_G: 0.088289 Loss_D_real: -0.080187 Loss_D_fake 0.094984
[9/5000][365/535][594] Loss_D: -0.166729 Loss_G: 0.080815 Loss_D_real: -0.075222 Loss_D_fake 0.091507
[9/5000][370/535][595] Loss_D: -0.173327 Loss_G: 0.103870 Loss_D_real: -0.095031 Loss_D_fake 0.078296
[9/5000][375/535][596] Loss_D: -0.179854 Loss_G: 0.085036 Loss_D_real: -0.080187 Loss_D_fake 0.099667
[9/5000][380/535][597] Loss_D: -0.180710 Loss_G: 0.099564 Loss_D_real: -0.092603 Loss_D_fake 0.088106
[9/5000][385/535][598] Loss_D: -0.176590 Loss_G: 0.094233 Loss_D_real: -0.086120 Loss_D_fake 0.090469
[9/5000][390/535][599] Loss_D: -0.169629 Loss_G: 0.078271 Loss_D_real: -0.074965 Loss_D_fake 0.094663
[9/5000][395/535][600] Loss_D: -0.157975 Loss_G: 0.092345 Loss_D_real: -0.081720 Loss_D_fake 0.076255
[9/5000][400/535][601] Loss_D: -0.168411 Loss_G: 0.080245 Loss_D_real: -0.072880 Loss_D_fake 0.095530
[9/5000][405/535][602] Loss_D: -0.163794 Loss_G: 0.084022 Loss_D_real: -0.075769 Loss_D_fake 0.088025
[9/5000][410/535][603] Loss_D: -0.163679 Loss_G: 0.092056 Loss_D_real: -0.084202 Loss_D_fake 0.079478
[9/5000][415/535][604] Loss_D: -0.167177 Loss_G: 0.088379 Loss_D_real: -0.081225 Loss_D_fake 0.085952
[9/5000][420/535][605] Loss_D: -0.166813 Loss_G: 0.079332 Loss_D_real: -0.072919 Loss_D_fake 0.093894
[9/5000][425/535][606] Loss_D: -0.160651 Loss_G: 0.087849 Loss_D_real: -0.079253 Loss_D_fake 0.081397
[9/5000][430/535][607] Loss_D: -0.167617 Loss_G: 0.089783 Loss_D_real: -0.084276 Loss_D_fake 0.083341
[9/5000][435/535][608] Loss_D: -0.167882 Loss_G: 0.089319 Loss_D_real: -0.083274 Loss_D_fake 0.084608
[9/5000][440/535][609] Loss_D: -0.154578 Loss_G: 0.075924 Loss_D_real: -0.070780 Loss_D_fake 0.083798
[9/5000][445/535][610] Loss_D: -0.155165 Loss_G: 0.094591 Loss_D_real: -0.085376 Loss_D_fake 0.069788
[9/5000][450/535][611] Loss_D: -0.160794 Loss_G: 0.075364 Loss_D_real: -0.070461 Loss_D_fake 0.090333
[9/5000][455/535][612] Loss_D: -0.159350 Loss_G: 0.089379 Loss_D_real: -0.084109 Loss_D_fake 0.075241
[9/5000][460/535][613] Loss_D: -0.159122 Loss_G: 0.076655 Loss_D_real: -0.073186 Loss_D_fake 0.085936
[9/5000][465/535][614] Loss_D: -0.162163 Loss_G: 0.094911 Loss_D_real: -0.088336 Loss_D_fake 0.073827
[9/5000][470/535][615] Loss_D: -0.152502 Loss_G: 0.089959 Loss_D_real: -0.080887 Loss_D_fake 0.071615
[9/5000][475/535][616] Loss_D: -0.157541 Loss_G: 0.062095 Loss_D_real: -0.064382 Loss_D_fake 0.093159
[9/5000][480/535][617] Loss_D: -0.155908 Loss_G: 0.096528 Loss_D_real: -0.087337 Loss_D_fake 0.068571
[9/5000][485/535][618] Loss_D: -0.156322 Loss_G: 0.072070 Loss_D_real: -0.063908 Loss_D_fake 0.092415
[9/5000][490/535][619] Loss_D: -0.154897 Loss_G: 0.086684 Loss_D_real: -0.081622 Loss_D_fake 0.073275
[9/5000][495/535][620] Loss_D: -0.154423 Loss_G: 0.080365 Loss_D_real: -0.073826 Loss_D_fake 0.080597
[9/5000][500/535][621] Loss_D: -0.154541 Loss_G: 0.076733 Loss_D_real: -0.071481 Loss_D_fake 0.083060
[9/5000][505/535][622] Loss_D: -0.148134 Loss_G: 0.078914 Loss_D_real: -0.074427 Loss_D_fake 0.073707
[9/5000][510/535][623] Loss_D: -0.148593 Loss_G: 0.084993 Loss_D_real: -0.075280 Loss_D_fake 0.073313
[9/5000][515/535][624] Loss_D: -0.152798 Loss_G: 0.073076 Loss_D_real: -0.068775 Loss_D_fake 0.084023
[9/5000][520/535][625] Loss_D: -0.150115 Loss_G: 0.081868 Loss_D_real: -0.074991 Loss_D_fake 0.075124
[9/5000][525/535][626] Loss_D: -0.151235 Loss_G: 0.077017 Loss_D_real: -0.072896 Loss_D_fake 0.078339
[9/5000][530/535][627] Loss_D: -0.144518 Loss_G: 0.084777 Loss_D_real: -0.076686 Loss_D_fake 0.067831
[9/5000][535/535][628] Loss_D: -0.130361 Loss_G: 0.047703 Loss_D_real: -0.041409 Loss_D_fake 0.088952
[10/5000][5/535][629] Loss_D: -0.144949 Loss_G: 0.093174 Loss_D_real: -0.087741 Loss_D_fake 0.057208
[10/5000][10/535][630] Loss_D: -0.146619 Loss_G: 0.072564 Loss_D_real: -0.067212 Loss_D_fake 0.079408
[10/5000][15/535][631] Loss_D: -0.140153 Loss_G: 0.080589 Loss_D_real: -0.071813 Loss_D_fake 0.068339
[10/5000][20/535][632] Loss_D: -0.148120 Loss_G: 0.068979 Loss_D_real: -0.066377 Loss_D_fake 0.081743
[10/5000][25/535][633] Loss_D: -0.141076 Loss_G: 0.079691 Loss_D_real: -0.074274 Loss_D_fake 0.066801
[10/5000][30/535][634] Loss_D: -0.145180 Loss_G: 0.066903 Loss_D_real: -0.063601 Loss_D_fake 0.081579
[10/5000][35/535][635] Loss_D: -0.138523 Loss_G: 0.080962 Loss_D_real: -0.070877 Loss_D_fake 0.067646
[10/5000][40/535][636] Loss_D: -0.141407 Loss_G: 0.069057 Loss_D_real: -0.063628 Loss_D_fake 0.077779
[10/5000][45/535][637] Loss_D: -0.141863 Loss_G: 0.072804 Loss_D_real: -0.067846 Loss_D_fake 0.074017
[10/5000][50/535][638] Loss_D: -0.146592 Loss_G: 0.070849 Loss_D_real: -0.066634 Loss_D_fake 0.079958
[10/5000][55/535][639] Loss_D: -0.141728 Loss_G: 0.089849 Loss_D_real: -0.082379 Loss_D_fake 0.059349
[10/5000][60/535][640] Loss_D: -0.136696 Loss_G: 0.053954 Loss_D_real: -0.050037 Loss_D_fake 0.086659
[10/5000][65/535][641] Loss_D: -0.136493 Loss_G: 0.090936 Loss_D_real: -0.081137 Loss_D_fake 0.055357
[10/5000][70/535][642] Loss_D: -0.144765 Loss_G: 0.065956 Loss_D_real: -0.062067 Loss_D_fake 0.082698
[10/5000][75/535][643] Loss_D: -0.133272 Loss_G: 0.071967 Loss_D_real: -0.063508 Loss_D_fake 0.069764
[10/5000][80/535][644] Loss_D: -0.130452 Loss_G: 0.068898 Loss_D_real: -0.060091 Loss_D_fake 0.070360
[10/5000][85/535][645] Loss_D: -0.138948 Loss_G: 0.058768 Loss_D_real: -0.057093 Loss_D_fake 0.081855
[10/5000][90/535][646] Loss_D: -0.133648 Loss_G: 0.077538 Loss_D_real: -0.070951 Loss_D_fake 0.062697
[10/5000][95/535][647] Loss_D: -0.132743 Loss_G: 0.067155 Loss_D_real: -0.059553 Loss_D_fake 0.073190
[10/5000][100/535][648] Loss_D: -0.130878 Loss_G: 0.069832 Loss_D_real: -0.061740 Loss_D_fake 0.069138
[10/5000][105/535][649] Loss_D: -0.132369 Loss_G: 0.077285 Loss_D_real: -0.067773 Loss_D_fake 0.064596
[10/5000][110/535][650] Loss_D: -0.134881 Loss_G: 0.059923 Loss_D_real: -0.059011 Loss_D_fake 0.075870
[10/5000][115/535][651] Loss_D: -0.131641 Loss_G: 0.085445 Loss_D_real: -0.071752 Loss_D_fake 0.059889
[10/5000][120/535][652] Loss_D: -0.132207 Loss_G: 0.040335 Loss_D_real: -0.040831 Loss_D_fake 0.091376
[10/5000][125/535][653] Loss_D: -0.122907 Loss_G: 0.080410 Loss_D_real: -0.073133 Loss_D_fake 0.049774
[10/5000][130/535][654] Loss_D: -0.128378 Loss_G: 0.064233 Loss_D_real: -0.055513 Loss_D_fake 0.072866
[10/5000][135/535][655] Loss_D: -0.133498 Loss_G: 0.080857 Loss_D_real: -0.070972 Loss_D_fake 0.062526
[10/5000][140/535][656] Loss_D: -0.131252 Loss_G: 0.068051 Loss_D_real: -0.059331 Loss_D_fake 0.071921
[10/5000][145/535][657] Loss_D: -0.126851 Loss_G: 0.074663 Loss_D_real: -0.063952 Loss_D_fake 0.062899
[10/5000][150/535][658] Loss_D: -0.128568 Loss_G: 0.072142 Loss_D_real: -0.061484 Loss_D_fake 0.067084
[10/5000][155/535][659] Loss_D: -0.128461 Loss_G: 0.072260 Loss_D_real: -0.061381 Loss_D_fake 0.067079
[10/5000][160/535][660] Loss_D: -0.128462 Loss_G: 0.051989 Loss_D_real: -0.045160 Loss_D_fake 0.083302
[10/5000][165/535][661] Loss_D: -0.127702 Loss_G: 0.088065 Loss_D_real: -0.075080 Loss_D_fake 0.052622
[10/5000][170/535][662] Loss_D: -0.125373 Loss_G: 0.061270 Loss_D_real: -0.053682 Loss_D_fake 0.071691
[10/5000][175/535][663] Loss_D: -0.129000 Loss_G: 0.076332 Loss_D_real: -0.066951 Loss_D_fake 0.062049
[10/5000][180/535][664] Loss_D: -0.128572 Loss_G: 0.071515 Loss_D_real: -0.060908 Loss_D_fake 0.067664
[10/5000][185/535][665] Loss_D: -0.129794 Loss_G: 0.075198 Loss_D_real: -0.064135 Loss_D_fake 0.065659
[10/5000][190/535][666] Loss_D: -0.127971 Loss_G: 0.061130 Loss_D_real: -0.053206 Loss_D_fake 0.074764
[10/5000][195/535][667] Loss_D: -0.126212 Loss_G: 0.085550 Loss_D_real: -0.073154 Loss_D_fake 0.053058
[10/5000][200/535][668] Loss_D: -0.119715 Loss_G: 0.042358 Loss_D_real: -0.033995 Loss_D_fake 0.085720
[10/5000][205/535][669] Loss_D: -0.126814 Loss_G: 0.084218 Loss_D_real: -0.072165 Loss_D_fake 0.054649
[10/5000][210/535][670] Loss_D: -0.126436 Loss_G: 0.058603 Loss_D_real: -0.050253 Loss_D_fake 0.076183
[10/5000][215/535][671] Loss_D: -0.128842 Loss_G: 0.065394 Loss_D_real: -0.056071 Loss_D_fake 0.072771
[10/5000][220/535][672] Loss_D: -0.123103 Loss_G: 0.072700 Loss_D_real: -0.060402 Loss_D_fake 0.062701
[10/5000][225/535][673] Loss_D: -0.128871 Loss_G: 0.059691 Loss_D_real: -0.055879 Loss_D_fake 0.072993
[10/5000][230/535][674] Loss_D: -0.125314 Loss_G: 0.078833 Loss_D_real: -0.066248 Loss_D_fake 0.059066
[10/5000][235/535][675] Loss_D: -0.127937 Loss_G: 0.057318 Loss_D_real: -0.052139 Loss_D_fake 0.075798
[10/5000][240/535][676] Loss_D: -0.121735 Loss_G: 0.069823 Loss_D_real: -0.058814 Loss_D_fake 0.062921
[10/5000][245/535][677] Loss_D: -0.128057 Loss_G: 0.072711 Loss_D_real: -0.064218 Loss_D_fake 0.063838
[10/5000][250/535][678] Loss_D: -0.130489 Loss_G: 0.066585 Loss_D_real: -0.060437 Loss_D_fake 0.070051
[10/5000][255/535][679] Loss_D: -0.122033 Loss_G: 0.066536 Loss_D_real: -0.057519 Loss_D_fake 0.064514
[10/5000][260/535][680] Loss_D: -0.130318 Loss_G: 0.069518 Loss_D_real: -0.060623 Loss_D_fake 0.069695
[10/5000][265/535][681] Loss_D: -0.125033 Loss_G: 0.063391 Loss_D_real: -0.058081 Loss_D_fake 0.066952
[10/5000][270/535][682] Loss_D: -0.123606 Loss_G: 0.082888 Loss_D_real: -0.069151 Loss_D_fake 0.054455
[10/5000][275/535][683] Loss_D: -0.125206 Loss_G: 0.047848 Loss_D_real: -0.043692 Loss_D_fake 0.081514
[10/5000][280/535][684] Loss_D: -0.123439 Loss_G: 0.079436 Loss_D_real: -0.068960 Loss_D_fake 0.054479
[10/5000][285/535][685] Loss_D: -0.124004 Loss_G: 0.060390 Loss_D_real: -0.052119 Loss_D_fake 0.071885
[10/5000][290/535][686] Loss_D: -0.129513 Loss_G: 0.069321 Loss_D_real: -0.061548 Loss_D_fake 0.067965
[10/5000][295/535][687] Loss_D: -0.124253 Loss_G: 0.073595 Loss_D_real: -0.061573 Loss_D_fake 0.062680
[10/5000][300/535][688] Loss_D: -0.122015 Loss_G: 0.051890 Loss_D_real: -0.048189 Loss_D_fake 0.073826
[10/5000][305/535][689] Loss_D: -0.121651 Loss_G: 0.086612 Loss_D_real: -0.074792 Loss_D_fake 0.046858
[10/5000][310/535][690] Loss_D: -0.123440 Loss_G: 0.045021 Loss_D_real: -0.040009 Loss_D_fake 0.083431
[10/5000][315/535][691] Loss_D: -0.125742 Loss_G: 0.079573 Loss_D_real: -0.070838 Loss_D_fake 0.054904
[10/5000][320/535][692] Loss_D: -0.125661 Loss_G: 0.053209 Loss_D_real: -0.050829 Loss_D_fake 0.074832
[10/5000][325/535][693] Loss_D: -0.122152 Loss_G: 0.075645 Loss_D_real: -0.068269 Loss_D_fake 0.053883
[10/5000][330/535][694] Loss_D: -0.125924 Loss_G: 0.066921 Loss_D_real: -0.060081 Loss_D_fake 0.065843
[10/5000][335/535][695] Loss_D: -0.122890 Loss_G: 0.072070 Loss_D_real: -0.062348 Loss_D_fake 0.060542
[10/5000][340/535][696] Loss_D: -0.125326 Loss_G: 0.061992 Loss_D_real: -0.056607 Loss_D_fake 0.068719
[10/5000][345/535][697] Loss_D: -0.119553 Loss_G: 0.067609 Loss_D_real: -0.060472 Loss_D_fake 0.059081
[10/5000][350/535][698] Loss_D: -0.127375 Loss_G: 0.067186 Loss_D_real: -0.060173 Loss_D_fake 0.067202
[10/5000][355/535][699] Loss_D: -0.129419 Loss_G: 0.075732 Loss_D_real: -0.068604 Loss_D_fake 0.060816
[10/5000][360/535][700] Loss_D: -0.125628 Loss_G: 0.067244 Loss_D_real: -0.061414 Loss_D_fake 0.064215
[10/5000][365/535][701] Loss_D: -0.121261 Loss_G: 0.057696 Loss_D_real: -0.053034 Loss_D_fake 0.068227
[10/5000][370/535][702] Loss_D: -0.124443 Loss_G: 0.068275 Loss_D_real: -0.064326 Loss_D_fake 0.060116
[10/5000][375/535][703] Loss_D: -0.128755 Loss_G: 0.063751 Loss_D_real: -0.059255 Loss_D_fake 0.069500
[10/5000][380/535][704] Loss_D: -0.128336 Loss_G: 0.085618 Loss_D_real: -0.072497 Loss_D_fake 0.055839
[10/5000][385/535][705] Loss_D: -0.120587 Loss_G: 0.037278 Loss_D_real: -0.040593 Loss_D_fake 0.079994
[10/5000][390/535][706] Loss_D: -0.119370 Loss_G: 0.087795 Loss_D_real: -0.076506 Loss_D_fake 0.042864
[10/5000][395/535][707] Loss_D: -0.119641 Loss_G: 0.053215 Loss_D_real: -0.047006 Loss_D_fake 0.072635
[10/5000][400/535][708] Loss_D: -0.124667 Loss_G: 0.073834 Loss_D_real: -0.068535 Loss_D_fake 0.056132
[10/5000][405/535][709] Loss_D: -0.122518 Loss_G: 0.061414 Loss_D_real: -0.057515 Loss_D_fake 0.065003
[10/5000][410/535][710] Loss_D: -0.117728 Loss_G: 0.064770 Loss_D_real: -0.057256 Loss_D_fake 0.060472
[10/5000][415/535][711] Loss_D: -0.118642 Loss_G: 0.061105 Loss_D_real: -0.056387 Loss_D_fake 0.062255
[10/5000][420/535][712] Loss_D: -0.128424 Loss_G: 0.075356 Loss_D_real: -0.067930 Loss_D_fake 0.060494
[10/5000][425/535][713] Loss_D: -0.119327 Loss_G: 0.062109 Loss_D_real: -0.055417 Loss_D_fake 0.063910
[10/5000][430/535][714] Loss_D: -0.120316 Loss_G: 0.061256 Loss_D_real: -0.056067 Loss_D_fake 0.064249
[10/5000][435/535][715] Loss_D: -0.116621 Loss_G: 0.064039 Loss_D_real: -0.057358 Loss_D_fake 0.059263
[10/5000][440/535][716] Loss_D: -0.119952 Loss_G: 0.062077 Loss_D_real: -0.056007 Loss_D_fake 0.063945
[10/5000][445/535][717] Loss_D: -0.120615 Loss_G: 0.069358 Loss_D_real: -0.062633 Loss_D_fake 0.057982
[10/5000][450/535][718] Loss_D: -0.126200 Loss_G: 0.065473 Loss_D_real: -0.059001 Loss_D_fake 0.067199
[10/5000][455/535][719] Loss_D: -0.119926 Loss_G: 0.064397 Loss_D_real: -0.055523 Loss_D_fake 0.064404
[10/5000][460/535][720] Loss_D: -0.116074 Loss_G: 0.087837 Loss_D_real: -0.073242 Loss_D_fake 0.042832
[10/5000][465/535][721] Loss_D: -0.119992 Loss_G: 0.042619 Loss_D_real: -0.037893 Loss_D_fake 0.082099
[10/5000][470/535][722] Loss_D: -0.121949 Loss_G: 0.087410 Loss_D_real: -0.076819 Loss_D_fake 0.045130
[10/5000][475/535][723] Loss_D: -0.123822 Loss_G: 0.055745 Loss_D_real: -0.048512 Loss_D_fake 0.075310
[10/5000][480/535][724] Loss_D: -0.114211 Loss_G: 0.057444 Loss_D_real: -0.051098 Loss_D_fake 0.063113
[10/5000][485/535][725] Loss_D: -0.120523 Loss_G: 0.071156 Loss_D_real: -0.062849 Loss_D_fake 0.057674
[10/5000][490/535][726] Loss_D: -0.119650 Loss_G: 0.057789 Loss_D_real: -0.055484 Loss_D_fake 0.064166
[10/5000][495/535][727] Loss_D: -0.118796 Loss_G: 0.071900 Loss_D_real: -0.063696 Loss_D_fake 0.055100
[10/5000][500/535][728] Loss_D: -0.120640 Loss_G: 0.063882 Loss_D_real: -0.059405 Loss_D_fake 0.061234
[10/5000][505/535][729] Loss_D: -0.122365 Loss_G: 0.061619 Loss_D_real: -0.059649 Loss_D_fake 0.062717
[10/5000][510/535][730] Loss_D: -0.121773 Loss_G: 0.070257 Loss_D_real: -0.062157 Loss_D_fake 0.059616
[10/5000][515/535][731] Loss_D: -0.118282 Loss_G: 0.053873 Loss_D_real: -0.047140 Loss_D_fake 0.071142
[10/5000][520/535][732] Loss_D: -0.118300 Loss_G: 0.061430 Loss_D_real: -0.052667 Loss_D_fake 0.065632
[10/5000][525/535][733] Loss_D: -0.118023 Loss_G: 0.083024 Loss_D_real: -0.070800 Loss_D_fake 0.047223
[10/5000][530/535][734] Loss_D: -0.122101 Loss_G: 0.058753 Loss_D_real: -0.052956 Loss_D_fake 0.069145
[10/5000][535/535][735] Loss_D: -0.126365 Loss_G: 0.074398 Loss_D_real: -0.067848 Loss_D_fake 0.058517
[11/5000][5/535][736] Loss_D: -0.121580 Loss_G: 0.061751 Loss_D_real: -0.052652 Loss_D_fake 0.068928
[11/5000][10/535][737] Loss_D: -0.118879 Loss_G: 0.063745 Loss_D_real: -0.060694 Loss_D_fake 0.058185
[11/5000][15/535][738] Loss_D: -0.112218 Loss_G: 0.075682 Loss_D_real: -0.064287 Loss_D_fake 0.047931
[11/5000][20/535][739] Loss_D: -0.119367 Loss_G: 0.045369 Loss_D_real: -0.045791 Loss_D_fake 0.073576
[11/5000][25/535][740] Loss_D: -0.117856 Loss_G: 0.073029 Loss_D_real: -0.062371 Loss_D_fake 0.055485
[11/5000][30/535][741] Loss_D: -0.120641 Loss_G: 0.058320 Loss_D_real: -0.053640 Loss_D_fake 0.067000
[11/5000][35/535][742] Loss_D: -0.120708 Loss_G: 0.066387 Loss_D_real: -0.062215 Loss_D_fake 0.058493
[11/5000][40/535][743] Loss_D: -0.116825 Loss_G: 0.080468 Loss_D_real: -0.069744 Loss_D_fake 0.047081
[11/5000][45/535][744] Loss_D: -0.111318 Loss_G: 0.043252 Loss_D_real: -0.036314 Loss_D_fake 0.075003
[11/5000][50/535][745] Loss_D: -0.114508 Loss_G: 0.061056 Loss_D_real: -0.060310 Loss_D_fake 0.054198
[11/5000][55/535][746] Loss_D: -0.118402 Loss_G: 0.072033 Loss_D_real: -0.064349 Loss_D_fake 0.054053
[11/5000][60/535][747] Loss_D: -0.119274 Loss_G: 0.066175 Loss_D_real: -0.061381 Loss_D_fake 0.057893
[11/5000][65/535][748] Loss_D: -0.118698 Loss_G: 0.058619 Loss_D_real: -0.053810 Loss_D_fake 0.064888
[11/5000][70/535][749] Loss_D: -0.122940 Loss_G: 0.068676 Loss_D_real: -0.063993 Loss_D_fake 0.058946
[11/5000][75/535][750] Loss_D: -0.112863 Loss_G: 0.045411 Loss_D_real: -0.041811 Loss_D_fake 0.071052
[11/5000][80/535][751] Loss_D: -0.116187 Loss_G: 0.066490 Loss_D_real: -0.063534 Loss_D_fake 0.052652
[11/5000][85/535][752] Loss_D: -0.120017 Loss_G: 0.072410 Loss_D_real: -0.062801 Loss_D_fake 0.057216
[11/5000][90/535][753] Loss_D: -0.114776 Loss_G: 0.055372 Loss_D_real: -0.054137 Loss_D_fake 0.060639
[11/5000][95/535][754] Loss_D: -0.110237 Loss_G: 0.078535 Loss_D_real: -0.072518 Loss_D_fake 0.037719
[11/5000][100/535][755] Loss_D: -0.111326 Loss_G: 0.037874 Loss_D_real: -0.036593 Loss_D_fake 0.074733
[11/5000][105/535][756] Loss_D: -0.116921 Loss_G: 0.074932 Loss_D_real: -0.068458 Loss_D_fake 0.048463
[11/5000][110/535][757] Loss_D: -0.118831 Loss_G: 0.052738 Loss_D_real: -0.047496 Loss_D_fake 0.071335
[11/5000][115/535][758] Loss_D: -0.119445 Loss_G: 0.067392 Loss_D_real: -0.065339 Loss_D_fake 0.054106
[11/5000][120/535][759] Loss_D: -0.109455 Loss_G: 0.073816 Loss_D_real: -0.063536 Loss_D_fake 0.045919
[11/5000][125/535][760] Loss_D: -0.114346 Loss_G: 0.052750 Loss_D_real: -0.049888 Loss_D_fake 0.064457
[11/5000][130/535][761] Loss_D: -0.115245 Loss_G: 0.057104 Loss_D_real: -0.056409 Loss_D_fake 0.058835
[11/5000][135/535][762] Loss_D: -0.113574 Loss_G: 0.052222 Loss_D_real: -0.050592 Loss_D_fake 0.062981
[11/5000][140/535][763] Loss_D: -0.117095 Loss_G: 0.069133 Loss_D_real: -0.063488 Loss_D_fake 0.053607
[11/5000][145/535][764] Loss_D: -0.112277 Loss_G: 0.057987 Loss_D_real: -0.053956 Loss_D_fake 0.058321
[11/5000][150/535][765] Loss_D: -0.113879 Loss_G: 0.051227 Loss_D_real: -0.050680 Loss_D_fake 0.063199
[11/5000][155/535][766] Loss_D: -0.113494 Loss_G: 0.076138 Loss_D_real: -0.067284 Loss_D_fake 0.046211
[11/5000][160/535][767] Loss_D: -0.114464 Loss_G: 0.038495 Loss_D_real: -0.042442 Loss_D_fake 0.072023
[11/5000][165/535][768] Loss_D: -0.112766 Loss_G: 0.071733 Loss_D_real: -0.067359 Loss_D_fake 0.045407
[11/5000][170/535][769] Loss_D: -0.117391 Loss_G: 0.055317 Loss_D_real: -0.053296 Loss_D_fake 0.064096
[11/5000][175/535][770] Loss_D: -0.109111 Loss_G: 0.048196 Loss_D_real: -0.045592 Loss_D_fake 0.063519
[11/5000][180/535][771] Loss_D: -0.113438 Loss_G: 0.067450 Loss_D_real: -0.067818 Loss_D_fake 0.045620
[11/5000][185/535][772] Loss_D: -0.108603 Loss_G: 0.054071 Loss_D_real: -0.052930 Loss_D_fake 0.055673
[11/5000][190/535][773] Loss_D: -0.109894 Loss_G: 0.052977 Loss_D_real: -0.053862 Loss_D_fake 0.056032
[11/5000][195/535][774] Loss_D: -0.111113 Loss_G: 0.065410 Loss_D_real: -0.058380 Loss_D_fake 0.052733
[11/5000][200/535][775] Loss_D: -0.111957 Loss_G: 0.056436 Loss_D_real: -0.057139 Loss_D_fake 0.054818
[11/5000][205/535][776] Loss_D: -0.111089 Loss_G: 0.044403 Loss_D_real: -0.048641 Loss_D_fake 0.062449
[11/5000][210/535][777] Loss_D: -0.108761 Loss_G: 0.065522 Loss_D_real: -0.064330 Loss_D_fake 0.044430
[11/5000][215/535][778] Loss_D: -0.113738 Loss_G: 0.064957 Loss_D_real: -0.062841 Loss_D_fake 0.050897
[11/5000][220/535][779] Loss_D: -0.113376 Loss_G: 0.053880 Loss_D_real: -0.054113 Loss_D_fake 0.059263
[11/5000][225/535][780] Loss_D: -0.110318 Loss_G: 0.067143 Loss_D_real: -0.063595 Loss_D_fake 0.046723
[11/5000][230/535][781] Loss_D: -0.115843 Loss_G: 0.045300 Loss_D_real: -0.051352 Loss_D_fake 0.064491
[11/5000][235/535][782] Loss_D: -0.109176 Loss_G: 0.073930 Loss_D_real: -0.069922 Loss_D_fake 0.039254
[11/5000][240/535][783] Loss_D: -0.115363 Loss_G: 0.041594 Loss_D_real: -0.047147 Loss_D_fake 0.068216
[11/5000][245/535][784] Loss_D: -0.107790 Loss_G: 0.074369 Loss_D_real: -0.071925 Loss_D_fake 0.035865
[11/5000][250/535][785] Loss_D: -0.112341 Loss_G: 0.042710 Loss_D_real: -0.045695 Loss_D_fake 0.066646
[11/5000][255/535][786] Loss_D: -0.102257 Loss_G: 0.061793 Loss_D_real: -0.058623 Loss_D_fake 0.043634
[11/5000][260/535][787] Loss_D: -0.108201 Loss_G: 0.052961 Loss_D_real: -0.055335 Loss_D_fake 0.052866
[11/5000][265/535][788] Loss_D: -0.111157 Loss_G: 0.065497 Loss_D_real: -0.063886 Loss_D_fake 0.047271
[11/5000][270/535][789] Loss_D: -0.104785 Loss_G: 0.046060 Loss_D_real: -0.048812 Loss_D_fake 0.055973
[11/5000][275/535][790] Loss_D: -0.113422 Loss_G: 0.064090 Loss_D_real: -0.064368 Loss_D_fake 0.049054
[11/5000][280/535][791] Loss_D: -0.112232 Loss_G: 0.061276 Loss_D_real: -0.059334 Loss_D_fake 0.052898
[11/5000][285/535][792] Loss_D: -0.108212 Loss_G: 0.050543 Loss_D_real: -0.055064 Loss_D_fake 0.053147
[11/5000][290/535][793] Loss_D: -0.107863 Loss_G: 0.063903 Loss_D_real: -0.062476 Loss_D_fake 0.045387
[11/5000][295/535][794] Loss_D: -0.109631 Loss_G: 0.052787 Loss_D_real: -0.051390 Loss_D_fake 0.058241
[11/5000][300/535][795] Loss_D: -0.104828 Loss_G: 0.039559 Loss_D_real: -0.047934 Loss_D_fake 0.056894
[11/5000][305/535][796] Loss_D: -0.102737 Loss_G: 0.064438 Loss_D_real: -0.062399 Loss_D_fake 0.040338
[11/5000][310/535][797] Loss_D: -0.106208 Loss_G: 0.040280 Loss_D_real: -0.044658 Loss_D_fake 0.061550
[11/5000][315/535][798] Loss_D: -0.107748 Loss_G: 0.069150 Loss_D_real: -0.065958 Loss_D_fake 0.041790
[11/5000][320/535][799] Loss_D: -0.102353 Loss_G: 0.052508 Loss_D_real: -0.050548 Loss_D_fake 0.051806
[11/5000][325/535][800] Loss_D: -0.112559 Loss_G: 0.048052 Loss_D_real: -0.056355 Loss_D_fake 0.056204
[11/5000][330/535][801] Loss_D: -0.108602 Loss_G: 0.063246 Loss_D_real: -0.060407 Loss_D_fake 0.048196
[11/5000][335/535][802] Loss_D: -0.112478 Loss_G: 0.049524 Loss_D_real: -0.056391 Loss_D_fake 0.056087
[11/5000][340/535][803] Loss_D: -0.108528 Loss_G: 0.067115 Loss_D_real: -0.067146 Loss_D_fake 0.041381
[11/5000][345/535][804] Loss_D: -0.113515 Loss_G: 0.045293 Loss_D_real: -0.050252 Loss_D_fake 0.063264
[11/5000][350/535][805] Loss_D: -0.106890 Loss_G: 0.067014 Loss_D_real: -0.064385 Loss_D_fake 0.042505
[11/5000][355/535][806] Loss_D: -0.108286 Loss_G: 0.050201 Loss_D_real: -0.052607 Loss_D_fake 0.055679
[11/5000][360/535][807] Loss_D: -0.099864 Loss_G: 0.038327 Loss_D_real: -0.047223 Loss_D_fake 0.052641
[11/5000][365/535][808] Loss_D: -0.104873 Loss_G: 0.064986 Loss_D_real: -0.068457 Loss_D_fake 0.036416
[11/5000][370/535][809] Loss_D: -0.102779 Loss_G: 0.044843 Loss_D_real: -0.045446 Loss_D_fake 0.057333
[11/5000][375/535][810] Loss_D: -0.106364 Loss_G: 0.050772 Loss_D_real: -0.052615 Loss_D_fake 0.053748
[11/5000][380/535][811] Loss_D: -0.102723 Loss_G: 0.044266 Loss_D_real: -0.045715 Loss_D_fake 0.057007
[11/5000][385/535][812] Loss_D: -0.113953 Loss_G: 0.065839 Loss_D_real: -0.065960 Loss_D_fake 0.047992
[11/5000][390/535][813] Loss_D: -0.101701 Loss_G: 0.043810 Loss_D_real: -0.043692 Loss_D_fake 0.058009
[11/5000][395/535][814] Loss_D: -0.099777 Loss_G: 0.049108 Loss_D_real: -0.050809 Loss_D_fake 0.048968
[11/5000][400/535][815] Loss_D: -0.101000 Loss_G: 0.066299 Loss_D_real: -0.064736 Loss_D_fake 0.036264
[11/5000][405/535][816] Loss_D: -0.097321 Loss_G: 0.019976 Loss_D_real: -0.030423 Loss_D_fake 0.066898
[11/5000][410/535][817] Loss_D: -0.099961 Loss_G: 0.068984 Loss_D_real: -0.069374 Loss_D_fake 0.030586
[11/5000][415/535][818] Loss_D: -0.100438 Loss_G: 0.037616 Loss_D_real: -0.040722 Loss_D_fake 0.059716
[11/5000][420/535][819] Loss_D: -0.104739 Loss_G: 0.051457 Loss_D_real: -0.053037 Loss_D_fake 0.051702
[11/5000][425/535][820] Loss_D: -0.095359 Loss_G: 0.055069 Loss_D_real: -0.055422 Loss_D_fake 0.039937
[11/5000][430/535][821] Loss_D: -0.101986 Loss_G: 0.037531 Loss_D_real: -0.043107 Loss_D_fake 0.058880
[11/5000][435/535][822] Loss_D: -0.096516 Loss_G: 0.055604 Loss_D_real: -0.054701 Loss_D_fake 0.041815
[11/5000][440/535][823] Loss_D: -0.101778 Loss_G: 0.050699 Loss_D_real: -0.051379 Loss_D_fake 0.050399
[11/5000][445/535][824] Loss_D: -0.104398 Loss_G: 0.064992 Loss_D_real: -0.064213 Loss_D_fake 0.040186
[11/5000][450/535][825] Loss_D: -0.101566 Loss_G: 0.039828 Loss_D_real: -0.044829 Loss_D_fake 0.056737
[11/5000][455/535][826] Loss_D: -0.097695 Loss_G: 0.050959 Loss_D_real: -0.050213 Loss_D_fake 0.047481
[11/5000][460/535][827] Loss_D: -0.102663 Loss_G: 0.058914 Loss_D_real: -0.056037 Loss_D_fake 0.046625
[11/5000][465/535][828] Loss_D: -0.100260 Loss_G: 0.039136 Loss_D_real: -0.044388 Loss_D_fake 0.055872
[11/5000][470/535][829] Loss_D: -0.098468 Loss_G: 0.058197 Loss_D_real: -0.059969 Loss_D_fake 0.038499
[11/5000][475/535][830] Loss_D: -0.098917 Loss_G: 0.045701 Loss_D_real: -0.045490 Loss_D_fake 0.053427
[11/5000][480/535][831] Loss_D: -0.097271 Loss_G: 0.035203 Loss_D_real: -0.043518 Loss_D_fake 0.053753
[11/5000][485/535][832] Loss_D: -0.098635 Loss_G: 0.061761 Loss_D_real: -0.061776 Loss_D_fake 0.036859
[11/5000][490/535][833] Loss_D: -0.105880 Loss_G: 0.055378 Loss_D_real: -0.058062 Loss_D_fake 0.047818
[11/5000][495/535][834] Loss_D: -0.097516 Loss_G: 0.042722 Loss_D_real: -0.042867 Loss_D_fake 0.054648
[11/5000][500/535][835] Loss_D: -0.099653 Loss_G: 0.054524 Loss_D_real: -0.055590 Loss_D_fake 0.044063
[11/5000][505/535][836] Loss_D: -0.094640 Loss_G: 0.058668 Loss_D_real: -0.052803 Loss_D_fake 0.041836
[11/5000][510/535][837] Loss_D: -0.093537 Loss_G: 0.030249 Loss_D_real: -0.036525 Loss_D_fake 0.057012
[11/5000][515/535][838] Loss_D: -0.094201 Loss_G: 0.071138 Loss_D_real: -0.069376 Loss_D_fake 0.024825
[11/5000][520/535][839] Loss_D: -0.107788 Loss_G: 0.030784 Loss_D_real: -0.040307 Loss_D_fake 0.067481
[11/5000][525/535][840] Loss_D: -0.102227 Loss_G: 0.068302 Loss_D_real: -0.068000 Loss_D_fake 0.034227
[11/5000][530/535][841] Loss_D: -0.100291 Loss_G: 0.056031 Loss_D_real: -0.054593 Loss_D_fake 0.045698
[11/5000][535/535][842] Loss_D: -0.094688 Loss_G: 0.050374 Loss_D_real: -0.040594 Loss_D_fake 0.054095
[12/5000][5/535][843] Loss_D: -0.098949 Loss_G: 0.052450 Loss_D_real: -0.057032 Loss_D_fake 0.041918
[12/5000][10/535][844] Loss_D: -0.100022 Loss_G: 0.046296 Loss_D_real: -0.049397 Loss_D_fake 0.050625
[12/5000][15/535][845] Loss_D: -0.094915 Loss_G: 0.050843 Loss_D_real: -0.051945 Loss_D_fake 0.042970
[12/5000][20/535][846] Loss_D: -0.093350 Loss_G: 0.027482 Loss_D_real: -0.036925 Loss_D_fake 0.056425
[12/5000][25/535][847] Loss_D: -0.091376 Loss_G: 0.060717 Loss_D_real: -0.060929 Loss_D_fake 0.030448
[12/5000][30/535][848] Loss_D: -0.092060 Loss_G: 0.042658 Loss_D_real: -0.042193 Loss_D_fake 0.049867
[12/5000][35/535][849] Loss_D: -0.098053 Loss_G: 0.050877 Loss_D_real: -0.051760 Loss_D_fake 0.046293
[12/5000][40/535][850] Loss_D: -0.096549 Loss_G: 0.040996 Loss_D_real: -0.045333 Loss_D_fake 0.051217
[12/5000][45/535][851] Loss_D: -0.092011 Loss_G: 0.057261 Loss_D_real: -0.055017 Loss_D_fake 0.036994
[12/5000][50/535][852] Loss_D: -0.097230 Loss_G: 0.030500 Loss_D_real: -0.039318 Loss_D_fake 0.057912
[12/5000][55/535][853] Loss_D: -0.099030 Loss_G: 0.061640 Loss_D_real: -0.065170 Loss_D_fake 0.033860
[12/5000][60/535][854] Loss_D: -0.099057 Loss_G: 0.044896 Loss_D_real: -0.048602 Loss_D_fake 0.050455
[12/5000][65/535][855] Loss_D: -0.099286 Loss_G: 0.047466 Loss_D_real: -0.050710 Loss_D_fake 0.048576
[12/5000][70/535][856] Loss_D: -0.098537 Loss_G: 0.059755 Loss_D_real: -0.059372 Loss_D_fake 0.039165
[12/5000][75/535][857] Loss_D: -0.097095 Loss_G: 0.031619 Loss_D_real: -0.041845 Loss_D_fake 0.055250
[12/5000][80/535][858] Loss_D: -0.091161 Loss_G: 0.058585 Loss_D_real: -0.063237 Loss_D_fake 0.027924
[12/5000][85/535][859] Loss_D: -0.100682 Loss_G: 0.038534 Loss_D_real: -0.046098 Loss_D_fake 0.054583
[12/5000][90/535][860] Loss_D: -0.093878 Loss_G: 0.050903 Loss_D_real: -0.054504 Loss_D_fake 0.039374
[12/5000][95/535][861] Loss_D: -0.087371 Loss_G: 0.058625 Loss_D_real: -0.056189 Loss_D_fake 0.031183
[12/5000][100/535][862] Loss_D: -0.086000 Loss_G: 0.024595 Loss_D_real: -0.030359 Loss_D_fake 0.055641
[12/5000][105/535][863] Loss_D: -0.092419 Loss_G: 0.062324 Loss_D_real: -0.060013 Loss_D_fake 0.032406
[12/5000][110/535][864] Loss_D: -0.093260 Loss_G: 0.039855 Loss_D_real: -0.040396 Loss_D_fake 0.052864
[12/5000][115/535][865] Loss_D: -0.092173 Loss_G: 0.039797 Loss_D_real: -0.041103 Loss_D_fake 0.051070
[12/5000][120/535][866] Loss_D: -0.093518 Loss_G: 0.059852 Loss_D_real: -0.058699 Loss_D_fake 0.034819
[12/5000][125/535][867] Loss_D: -0.095119 Loss_G: 0.040298 Loss_D_real: -0.043432 Loss_D_fake 0.051686
[12/5000][130/535][868] Loss_D: -0.092819 Loss_G: 0.035997 Loss_D_real: -0.040410 Loss_D_fake 0.052408
[12/5000][135/535][869] Loss_D: -0.090974 Loss_G: 0.058988 Loss_D_real: -0.056639 Loss_D_fake 0.034335
[12/5000][140/535][870] Loss_D: -0.089517 Loss_G: 0.039635 Loss_D_real: -0.040400 Loss_D_fake 0.049117
[12/5000][145/535][871] Loss_D: -0.091838 Loss_G: 0.056050 Loss_D_real: -0.055271 Loss_D_fake 0.036567
[12/5000][150/535][872] Loss_D: -0.096024 Loss_G: 0.044909 Loss_D_real: -0.049249 Loss_D_fake 0.046775
[12/5000][155/535][873] Loss_D: -0.095163 Loss_G: 0.057774 Loss_D_real: -0.056043 Loss_D_fake 0.039119
[12/5000][160/535][874] Loss_D: -0.092794 Loss_G: 0.029391 Loss_D_real: -0.040472 Loss_D_fake 0.052322
[12/5000][165/535][875] Loss_D: -0.090757 Loss_G: 0.053951 Loss_D_real: -0.053453 Loss_D_fake 0.037304
[12/5000][170/535][876] Loss_D: -0.092789 Loss_G: 0.037032 Loss_D_real: -0.043828 Loss_D_fake 0.048961
[12/5000][175/535][877] Loss_D: -0.089963 Loss_G: 0.040187 Loss_D_real: -0.044784 Loss_D_fake 0.045179
[12/5000][180/535][878] Loss_D: -0.090704 Loss_G: 0.049330 Loss_D_real: -0.048916 Loss_D_fake 0.041788
[12/5000][185/535][879] Loss_D: -0.094273 Loss_G: 0.046863 Loss_D_real: -0.047959 Loss_D_fake 0.046315
[12/5000][190/535][880] Loss_D: -0.089158 Loss_G: 0.048796 Loss_D_real: -0.043907 Loss_D_fake 0.045251
[12/5000][195/535][881] Loss_D: -0.091630 Loss_G: 0.039254 Loss_D_real: -0.043969 Loss_D_fake 0.047661
[12/5000][200/535][882] Loss_D: -0.092157 Loss_G: 0.057215 Loss_D_real: -0.055496 Loss_D_fake 0.036661
[12/5000][205/535][883] Loss_D: -0.093913 Loss_G: 0.027091 Loss_D_real: -0.036023 Loss_D_fake 0.057889
[12/5000][210/535][884] Loss_D: -0.082472 Loss_G: 0.069601 Loss_D_real: -0.066019 Loss_D_fake 0.016453
[12/5000][215/535][885] Loss_D: -0.087577 Loss_G: 0.019871 Loss_D_real: -0.023418 Loss_D_fake 0.064159
[12/5000][220/535][886] Loss_D: -0.087749 Loss_G: 0.058992 Loss_D_real: -0.060957 Loss_D_fake 0.026792
[12/5000][225/535][887] Loss_D: -0.090087 Loss_G: 0.043734 Loss_D_real: -0.042910 Loss_D_fake 0.047178
[12/5000][230/535][888] Loss_D: -0.086281 Loss_G: 0.045816 Loss_D_real: -0.045182 Loss_D_fake 0.041099
[12/5000][235/535][889] Loss_D: -0.089615 Loss_G: 0.045902 Loss_D_real: -0.049197 Loss_D_fake 0.040418
[12/5000][240/535][890] Loss_D: -0.087761 Loss_G: 0.047470 Loss_D_real: -0.048500 Loss_D_fake 0.039262
[12/5000][245/535][891] Loss_D: -0.093668 Loss_G: 0.039943 Loss_D_real: -0.043768 Loss_D_fake 0.049900
[12/5000][250/535][892] Loss_D: -0.085927 Loss_G: 0.050718 Loss_D_real: -0.051503 Loss_D_fake 0.034424
[12/5000][255/535][893] Loss_D: -0.085154 Loss_G: 0.036049 Loss_D_real: -0.037238 Loss_D_fake 0.047916
[12/5000][260/535][894] Loss_D: -0.087473 Loss_G: 0.050002 Loss_D_real: -0.053830 Loss_D_fake 0.033643
[12/5000][265/535][895] Loss_D: -0.087897 Loss_G: 0.042173 Loss_D_real: -0.044825 Loss_D_fake 0.043072
[12/5000][270/535][896] Loss_D: -0.086063 Loss_G: 0.029754 Loss_D_real: -0.036190 Loss_D_fake 0.049872
[12/5000][275/535][897] Loss_D: -0.091765 Loss_G: 0.054290 Loss_D_real: -0.053039 Loss_D_fake 0.038726
[12/5000][280/535][898] Loss_D: -0.085608 Loss_G: 0.031094 Loss_D_real: -0.035227 Loss_D_fake 0.050381
[12/5000][285/535][899] Loss_D: -0.090241 Loss_G: 0.054841 Loss_D_real: -0.052768 Loss_D_fake 0.037472
[12/5000][290/535][900] Loss_D: -0.087501 Loss_G: 0.037453 Loss_D_real: -0.043144 Loss_D_fake 0.044357
[12/5000][295/535][901] Loss_D: -0.089987 Loss_G: 0.046024 Loss_D_real: -0.049650 Loss_D_fake 0.040337
[12/5000][300/535][902] Loss_D: -0.085670 Loss_G: 0.054763 Loss_D_real: -0.049365 Loss_D_fake 0.036305
[12/5000][305/535][903] Loss_D: -0.085724 Loss_G: 0.021027 Loss_D_real: -0.027738 Loss_D_fake 0.057986
[12/5000][310/535][904] Loss_D: -0.083141 Loss_G: 0.064719 Loss_D_real: -0.063793 Loss_D_fake 0.019348
[12/5000][315/535][905] Loss_D: -0.084187 Loss_G: 0.014249 Loss_D_real: -0.018319 Loss_D_fake 0.065868
[12/5000][320/535][906] Loss_D: -0.084325 Loss_G: 0.062658 Loss_D_real: -0.058991 Loss_D_fake 0.025333
[12/5000][325/535][907] Loss_D: -0.085181 Loss_G: 0.040817 Loss_D_real: -0.035900 Loss_D_fake 0.049281
[12/5000][330/535][908] Loss_D: -0.086698 Loss_G: 0.038630 Loss_D_real: -0.045066 Loss_D_fake 0.041632
[12/5000][335/535][909] Loss_D: -0.077689 Loss_G: 0.041437 Loss_D_real: -0.040294 Loss_D_fake 0.037395
[12/5000][340/535][910] Loss_D: -0.083852 Loss_G: 0.046556 Loss_D_real: -0.046922 Loss_D_fake 0.036929
[12/5000][345/535][911] Loss_D: -0.090563 Loss_G: 0.041618 Loss_D_real: -0.047052 Loss_D_fake 0.043512
[12/5000][350/535][912] Loss_D: -0.083515 Loss_G: 0.048560 Loss_D_real: -0.051949 Loss_D_fake 0.031566
[12/5000][355/535][913] Loss_D: -0.083647 Loss_G: 0.035734 Loss_D_real: -0.038956 Loss_D_fake 0.044692
[12/5000][360/535][914] Loss_D: -0.086105 Loss_G: 0.055271 Loss_D_real: -0.053449 Loss_D_fake 0.032656
[12/5000][365/535][915] Loss_D: -0.082781 Loss_G: 0.040203 Loss_D_real: -0.042719 Loss_D_fake 0.040061
[12/5000][370/535][916] Loss_D: -0.087438 Loss_G: 0.043715 Loss_D_real: -0.044880 Loss_D_fake 0.042559
[12/5000][375/535][917] Loss_D: -0.080654 Loss_G: 0.040894 Loss_D_real: -0.042196 Loss_D_fake 0.038458
[12/5000][380/535][918] Loss_D: -0.083024 Loss_G: 0.048751 Loss_D_real: -0.049122 Loss_D_fake 0.033902
[12/5000][385/535][919] Loss_D: -0.086194 Loss_G: 0.031108 Loss_D_real: -0.042049 Loss_D_fake 0.044145
[12/5000][390/535][920] Loss_D: -0.080190 Loss_G: 0.055759 Loss_D_real: -0.052514 Loss_D_fake 0.027677
[12/5000][395/535][921] Loss_D: -0.086577 Loss_G: 0.014223 Loss_D_real: -0.029467 Loss_D_fake 0.057110
[12/5000][400/535][922] Loss_D: -0.083029 Loss_G: 0.068606 Loss_D_real: -0.067117 Loss_D_fake 0.015912
[12/5000][405/535][923] Loss_D: -0.087982 Loss_G: 0.026960 Loss_D_real: -0.034134 Loss_D_fake 0.053848
[12/5000][410/535][924] Loss_D: -0.079601 Loss_G: 0.037108 Loss_D_real: -0.036294 Loss_D_fake 0.043307
[12/5000][415/535][925] Loss_D: -0.085339 Loss_G: 0.050504 Loss_D_real: -0.051415 Loss_D_fake 0.033925
[12/5000][420/535][926] Loss_D: -0.085628 Loss_G: 0.037958 Loss_D_real: -0.043613 Loss_D_fake 0.042014
[12/5000][425/535][927] Loss_D: -0.084718 Loss_G: 0.044748 Loss_D_real: -0.045875 Loss_D_fake 0.038843
[12/5000][430/535][928] Loss_D: -0.078488 Loss_G: 0.038027 Loss_D_real: -0.042656 Loss_D_fake 0.035832
[12/5000][435/535][929] Loss_D: -0.077909 Loss_G: 0.049690 Loss_D_real: -0.046056 Loss_D_fake 0.031853
[12/5000][440/535][930] Loss_D: -0.088018 Loss_G: 0.034099 Loss_D_real: -0.040186 Loss_D_fake 0.047832
[12/5000][445/535][931] Loss_D: -0.081326 Loss_G: 0.036716 Loss_D_real: -0.041210 Loss_D_fake 0.040116
[12/5000][450/535][932] Loss_D: -0.083072 Loss_G: 0.021975 Loss_D_real: -0.030210 Loss_D_fake 0.052862
[12/5000][455/535][933] Loss_D: -0.080447 Loss_G: 0.048427 Loss_D_real: -0.053203 Loss_D_fake 0.027244
[12/5000][460/535][934] Loss_D: -0.079784 Loss_G: 0.046184 Loss_D_real: -0.042225 Loss_D_fake 0.037559
[12/5000][465/535][935] Loss_D: -0.083577 Loss_G: 0.037954 Loss_D_real: -0.042791 Loss_D_fake 0.040786
[12/5000][470/535][936] Loss_D: -0.081753 Loss_G: 0.056118 Loss_D_real: -0.052015 Loss_D_fake 0.029738
[12/5000][475/535][937] Loss_D: -0.081816 Loss_G: 0.013659 Loss_D_real: -0.025232 Loss_D_fake 0.056583
[12/5000][480/535][938] Loss_D: -0.083438 Loss_G: 0.065229 Loss_D_real: -0.062057 Loss_D_fake 0.021381
[12/5000][485/535][939] Loss_D: -0.082620 Loss_G: 0.026009 Loss_D_real: -0.030587 Loss_D_fake 0.052033
[12/5000][490/535][940] Loss_D: -0.080979 Loss_G: 0.032748 Loss_D_real: -0.038243 Loss_D_fake 0.042735
[12/5000][495/535][941] Loss_D: -0.080389 Loss_G: 0.057758 Loss_D_real: -0.058063 Loss_D_fake 0.022327
[12/5000][500/535][942] Loss_D: -0.077409 Loss_G: 0.029641 Loss_D_real: -0.033396 Loss_D_fake 0.044014
[12/5000][505/535][943] Loss_D: -0.081093 Loss_G: 0.047458 Loss_D_real: -0.047937 Loss_D_fake 0.033156
[12/5000][510/535][944] Loss_D: -0.080386 Loss_G: 0.028970 Loss_D_real: -0.033787 Loss_D_fake 0.046599
[12/5000][515/535][945] Loss_D: -0.080175 Loss_G: 0.044392 Loss_D_real: -0.043687 Loss_D_fake 0.036488
[12/5000][520/535][946] Loss_D: -0.079526 Loss_G: 0.032476 Loss_D_real: -0.035871 Loss_D_fake 0.043655
[12/5000][525/535][947] Loss_D: -0.079380 Loss_G: 0.048339 Loss_D_real: -0.046183 Loss_D_fake 0.033198
[12/5000][530/535][948] Loss_D: -0.076473 Loss_G: 0.028447 Loss_D_real: -0.030625 Loss_D_fake 0.045848
[12/5000][535/535][949] Loss_D: -0.080453 Loss_G: 0.036003 Loss_D_real: -0.045911 Loss_D_fake 0.034541
[13/5000][5/535][950] Loss_D: -0.082404 Loss_G: 0.037628 Loss_D_real: -0.036964 Loss_D_fake 0.045440
[13/5000][10/535][951] Loss_D: -0.081108 Loss_G: 0.049876 Loss_D_real: -0.047227 Loss_D_fake 0.033881
[13/5000][15/535][952] Loss_D: -0.080982 Loss_G: 0.021229 Loss_D_real: -0.030686 Loss_D_fake 0.050297
[13/5000][20/535][953] Loss_D: -0.080613 Loss_G: 0.061169 Loss_D_real: -0.062449 Loss_D_fake 0.018163
[13/5000][25/535][954] Loss_D: -0.080144 Loss_G: 0.018595 Loss_D_real: -0.027085 Loss_D_fake 0.053059
[13/5000][30/535][955] Loss_D: -0.082520 Loss_G: 0.051032 Loss_D_real: -0.049205 Loss_D_fake 0.033316
[13/5000][35/535][956] Loss_D: -0.078500 Loss_G: 0.041751 Loss_D_real: -0.041505 Loss_D_fake 0.036995
[13/5000][40/535][957] Loss_D: -0.080732 Loss_G: 0.032520 Loss_D_real: -0.037025 Loss_D_fake 0.043707
[13/5000][45/535][958] Loss_D: -0.079949 Loss_G: 0.038837 Loss_D_real: -0.041318 Loss_D_fake 0.038632
[13/5000][50/535][959] Loss_D: -0.079589 Loss_G: 0.040557 Loss_D_real: -0.040453 Loss_D_fake 0.039135
[13/5000][55/535][960] Loss_D: -0.081020 Loss_G: 0.037310 Loss_D_real: -0.038149 Loss_D_fake 0.042871
[13/5000][60/535][961] Loss_D: -0.080564 Loss_G: 0.050720 Loss_D_real: -0.047084 Loss_D_fake 0.033480
[13/5000][65/535][962] Loss_D: -0.080434 Loss_G: 0.016435 Loss_D_real: -0.026589 Loss_D_fake 0.053846
[13/5000][70/535][963] Loss_D: -0.075678 Loss_G: 0.054129 Loss_D_real: -0.051816 Loss_D_fake 0.023862
[13/5000][75/535][964] Loss_D: -0.077346 Loss_G: 0.045280 Loss_D_real: -0.041401 Loss_D_fake 0.035945
[13/5000][80/535][965] Loss_D: -0.079642 Loss_G: 0.018816 Loss_D_real: -0.025257 Loss_D_fake 0.054384
[13/5000][85/535][966] Loss_D: -0.076870 Loss_G: 0.056369 Loss_D_real: -0.052170 Loss_D_fake 0.024701
[13/5000][90/535][967] Loss_D: -0.080154 Loss_G: 0.025077 Loss_D_real: -0.027945 Loss_D_fake 0.052208
[13/5000][95/535][968] Loss_D: -0.078336 Loss_G: 0.028406 Loss_D_real: -0.033272 Loss_D_fake 0.045064
[13/5000][100/535][969] Loss_D: -0.075120 Loss_G: 0.053187 Loss_D_real: -0.049048 Loss_D_fake 0.026072
[13/5000][105/535][970] Loss_D: -0.078460 Loss_G: 0.034265 Loss_D_real: -0.032926 Loss_D_fake 0.045534
[13/5000][110/535][971] Loss_D: -0.080352 Loss_G: 0.049075 Loss_D_real: -0.045007 Loss_D_fake 0.035345
[13/5000][115/535][972] Loss_D: -0.077393 Loss_G: 0.037071 Loss_D_real: -0.038884 Loss_D_fake 0.038509
[13/5000][120/535][973] Loss_D: -0.077566 Loss_G: 0.046507 Loss_D_real: -0.045263 Loss_D_fake 0.032302
[13/5000][125/535][974] Loss_D: -0.074533 Loss_G: 0.043328 Loss_D_real: -0.038494 Loss_D_fake 0.036039
[13/5000][130/535][975] Loss_D: -0.079140 Loss_G: 0.051100 Loss_D_real: -0.050172 Loss_D_fake 0.028968
[13/5000][135/535][976] Loss_D: -0.080532 Loss_G: 0.021177 Loss_D_real: -0.028278 Loss_D_fake 0.052254
[13/5000][140/535][977] Loss_D: -0.078578 Loss_G: 0.062452 Loss_D_real: -0.059974 Loss_D_fake 0.018604
[13/5000][145/535][978] Loss_D: -0.080453 Loss_G: 0.019077 Loss_D_real: -0.027671 Loss_D_fake 0.052782
[13/5000][150/535][979] Loss_D: -0.079977 Loss_G: 0.051564 Loss_D_real: -0.053821 Loss_D_fake 0.026156
[13/5000][155/535][980] Loss_D: -0.075413 Loss_G: 0.037543 Loss_D_real: -0.036219 Loss_D_fake 0.039194
[13/5000][160/535][981] Loss_D: -0.077550 Loss_G: 0.044272 Loss_D_real: -0.042631 Loss_D_fake 0.034918
[13/5000][165/535][982] Loss_D: -0.078910 Loss_G: 0.035443 Loss_D_real: -0.039783 Loss_D_fake 0.039126
[13/5000][170/535][983] Loss_D: -0.078269 Loss_G: 0.046633 Loss_D_real: -0.048164 Loss_D_fake 0.030104
[13/5000][175/535][984] Loss_D: -0.079240 Loss_G: 0.036314 Loss_D_real: -0.038665 Loss_D_fake 0.040575
[13/5000][180/535][985] Loss_D: -0.078351 Loss_G: 0.042916 Loss_D_real: -0.039471 Loss_D_fake 0.038881
[13/5000][185/535][986] Loss_D: -0.079965 Loss_G: 0.020247 Loss_D_real: -0.031054 Loss_D_fake 0.048912
[13/5000][190/535][987] Loss_D: -0.075384 Loss_G: 0.061482 Loss_D_real: -0.059601 Loss_D_fake 0.015783
[13/5000][195/535][988] Loss_D: -0.079252 Loss_G: 0.020371 Loss_D_real: -0.023428 Loss_D_fake 0.055824
[13/5000][200/535][989] Loss_D: -0.074064 Loss_G: 0.059856 Loss_D_real: -0.056292 Loss_D_fake 0.017772
[13/5000][205/535][990] Loss_D: -0.080178 Loss_G: 0.038292 Loss_D_real: -0.036071 Loss_D_fake 0.044107
[13/5000][210/535][991] Loss_D: -0.072765 Loss_G: 0.027427 Loss_D_real: -0.028628 Loss_D_fake 0.044137
[13/5000][215/535][992] Loss_D: -0.075501 Loss_G: 0.051302 Loss_D_real: -0.052650 Loss_D_fake 0.022851
[13/5000][220/535][993] Loss_D: -0.078998 Loss_G: 0.022247 Loss_D_real: -0.029148 Loss_D_fake 0.049850
[13/5000][225/535][994] Loss_D: -0.078516 Loss_G: 0.046411 Loss_D_real: -0.047405 Loss_D_fake 0.031111
[13/5000][230/535][995] Loss_D: -0.077959 Loss_G: 0.032514 Loss_D_real: -0.035407 Loss_D_fake 0.042551
[13/5000][235/535][996] Loss_D: -0.081399 Loss_G: 0.042966 Loss_D_real: -0.046115 Loss_D_fake 0.035284
[13/5000][240/535][997] Loss_D: -0.076382 Loss_G: 0.026209 Loss_D_real: -0.032593 Loss_D_fake 0.043790
[13/5000][245/535][998] Loss_D: -0.080191 Loss_G: 0.068837 Loss_D_real: -0.060838 Loss_D_fake 0.019352
[13/5000][250/535][999] Loss_D: -0.081583 Loss_G: 0.024876 Loss_D_real: -0.030473 Loss_D_fake 0.051111
[13/5000][255/535][1000] Loss_D: -0.077783 Loss_G: 0.048129 Loss_D_real: -0.048253 Loss_D_fake 0.029530
[13/5000][355/535][1001] Loss_D: -0.086225 Loss_G: 0.053852 Loss_D_real: -0.054202 Loss_D_fake 0.032023
[13/5000][360/535][1002] Loss_D: -0.086754 Loss_G: 0.040258 Loss_D_real: -0.044473 Loss_D_fake 0.042281
[13/5000][365/535][1003] Loss_D: -0.078286 Loss_G: 0.046484 Loss_D_real: -0.045394 Loss_D_fake 0.032892
[13/5000][370/535][1004] Loss_D: -0.081795 Loss_G: 0.039439 Loss_D_real: -0.040093 Loss_D_fake 0.041703
[13/5000][375/535][1005] Loss_D: -0.083400 Loss_G: 0.054683 Loss_D_real: -0.053193 Loss_D_fake 0.030207
[13/5000][380/535][1006] Loss_D: -0.079939 Loss_G: 0.022607 Loss_D_real: -0.028435 Loss_D_fake 0.051505
[13/5000][385/535][1007] Loss_D: -0.084961 Loss_G: 0.065619 Loss_D_real: -0.060592 Loss_D_fake 0.024369
[13/5000][390/535][1008] Loss_D: -0.083409 Loss_G: 0.025490 Loss_D_real: -0.026604 Loss_D_fake 0.056805
[13/5000][395/535][1009] Loss_D: -0.081543 Loss_G: 0.047749 Loss_D_real: -0.046855 Loss_D_fake 0.034688
[13/5000][400/535][1010] Loss_D: -0.079239 Loss_G: 0.045059 Loss_D_real: -0.046193 Loss_D_fake 0.033047
[13/5000][405/535][1011] Loss_D: -0.084233 Loss_G: 0.045090 Loss_D_real: -0.045528 Loss_D_fake 0.038705
[13/5000][410/535][1012] Loss_D: -0.082292 Loss_G: 0.026878 Loss_D_real: -0.035172 Loss_D_fake 0.047120
[13/5000][415/535][1013] Loss_D: -0.081971 Loss_G: 0.061292 Loss_D_real: -0.057098 Loss_D_fake 0.024872
[13/5000][420/535][1014] Loss_D: -0.083665 Loss_G: 0.033674 Loss_D_real: -0.036871 Loss_D_fake 0.046794
[13/5000][425/535][1015] Loss_D: -0.084449 Loss_G: 0.034652 Loss_D_real: -0.040918 Loss_D_fake 0.043531
[13/5000][430/535][1016] Loss_D: -0.076622 Loss_G: 0.051345 Loss_D_real: -0.050392 Loss_D_fake 0.026230
[13/5000][435/535][1017] Loss_D: -0.079182 Loss_G: 0.022731 Loss_D_real: -0.025981 Loss_D_fake 0.053202
[13/5000][440/535][1018] Loss_D: -0.084245 Loss_G: 0.061156 Loss_D_real: -0.061380 Loss_D_fake 0.022865
[13/5000][445/535][1019] Loss_D: -0.082265 Loss_G: 0.023176 Loss_D_real: -0.028031 Loss_D_fake 0.054235
[13/5000][450/535][1020] Loss_D: -0.077199 Loss_G: 0.059498 Loss_D_real: -0.059107 Loss_D_fake 0.018092
[13/5000][455/535][1021] Loss_D: -0.081432 Loss_G: 0.026705 Loss_D_real: -0.031281 Loss_D_fake 0.050151
[13/5000][460/535][1022] Loss_D: -0.080667 Loss_G: 0.053053 Loss_D_real: -0.052261 Loss_D_fake 0.028406
[13/5000][465/535][1023] Loss_D: -0.080103 Loss_G: 0.034654 Loss_D_real: -0.033165 Loss_D_fake 0.046937
[13/5000][470/535][1024] Loss_D: -0.081824 Loss_G: 0.049653 Loss_D_real: -0.050715 Loss_D_fake 0.031109
[13/5000][475/535][1025] Loss_D: -0.079812 Loss_G: 0.042262 Loss_D_real: -0.041955 Loss_D_fake 0.037857
[13/5000][480/535][1026] Loss_D: -0.080529 Loss_G: 0.043070 Loss_D_real: -0.042557 Loss_D_fake 0.037973
[13/5000][485/535][1027] Loss_D: -0.081036 Loss_G: 0.041038 Loss_D_real: -0.040864 Loss_D_fake 0.040172
[13/5000][490/535][1028] Loss_D: -0.081924 Loss_G: 0.037515 Loss_D_real: -0.041768 Loss_D_fake 0.040156
[13/5000][495/535][1029] Loss_D: -0.082624 Loss_G: 0.028596 Loss_D_real: -0.037057 Loss_D_fake 0.045568
[13/5000][500/535][1030] Loss_D: -0.077715 Loss_G: 0.047766 Loss_D_real: -0.049021 Loss_D_fake 0.028693
[13/5000][505/535][1031] Loss_D: -0.082014 Loss_G: 0.025020 Loss_D_real: -0.031264 Loss_D_fake 0.050750
[13/5000][510/535][1032] Loss_D: -0.080422 Loss_G: 0.051341 Loss_D_real: -0.050211 Loss_D_fake 0.030211
[13/5000][515/535][1033] Loss_D: -0.081836 Loss_G: 0.043487 Loss_D_real: -0.042948 Loss_D_fake 0.038888
[13/5000][520/535][1034] Loss_D: -0.078133 Loss_G: 0.028121 Loss_D_real: -0.033760 Loss_D_fake 0.044373
[13/5000][525/535][1035] Loss_D: -0.082865 Loss_G: 0.035305 Loss_D_real: -0.044023 Loss_D_fake 0.038842
[13/5000][530/535][1036] Loss_D: -0.079578 Loss_G: 0.048957 Loss_D_real: -0.051567 Loss_D_fake 0.028011
[13/5000][535/535][1037] Loss_D: -0.074057 Loss_G: 0.011019 Loss_D_real: -0.022176 Loss_D_fake 0.051882
[14/5000][5/535][1038] Loss_D: -0.077808 Loss_G: 0.065578 Loss_D_real: -0.063907 Loss_D_fake 0.013901
[14/5000][10/535][1039] Loss_D: -0.082704 Loss_G: 0.024509 Loss_D_real: -0.028913 Loss_D_fake 0.053791
[14/5000][15/535][1040] Loss_D: -0.081041 Loss_G: 0.038270 Loss_D_real: -0.042644 Loss_D_fake 0.038396
[14/5000][20/535][1041] Loss_D: -0.077519 Loss_G: 0.061644 Loss_D_real: -0.057097 Loss_D_fake 0.020422
[14/5000][25/535][1042] Loss_D: -0.078741 Loss_G: 0.031666 Loss_D_real: -0.033620 Loss_D_fake 0.045121
[14/5000][30/535][1043] Loss_D: -0.078794 Loss_G: 0.048952 Loss_D_real: -0.049920 Loss_D_fake 0.028875
[14/5000][35/535][1044] Loss_D: -0.078313 Loss_G: 0.021825 Loss_D_real: -0.031142 Loss_D_fake 0.047170
[14/5000][40/535][1045] Loss_D: -0.079842 Loss_G: 0.053467 Loss_D_real: -0.054468 Loss_D_fake 0.025374
[14/5000][45/535][1046] Loss_D: -0.078698 Loss_G: 0.030828 Loss_D_real: -0.036713 Loss_D_fake 0.041984
[14/5000][50/535][1047] Loss_D: -0.079610 Loss_G: 0.045533 Loss_D_real: -0.046581 Loss_D_fake 0.033029
[14/5000][55/535][1048] Loss_D: -0.078604 Loss_G: 0.047785 Loss_D_real: -0.042960 Loss_D_fake 0.035644
[14/5000][60/535][1049] Loss_D: -0.082330 Loss_G: 0.048187 Loss_D_real: -0.044923 Loss_D_fake 0.037408
[14/5000][65/535][1050] Loss_D: -0.081446 Loss_G: 0.032119 Loss_D_real: -0.035943 Loss_D_fake 0.045503
[14/5000][70/535][1051] Loss_D: -0.084367 Loss_G: 0.052277 Loss_D_real: -0.049297 Loss_D_fake 0.035070
[14/5000][75/535][1052] Loss_D: -0.077550 Loss_G: 0.027979 Loss_D_real: -0.030331 Loss_D_fake 0.047218
[14/5000][80/535][1053] Loss_D: -0.078960 Loss_G: 0.044755 Loss_D_real: -0.047493 Loss_D_fake 0.031467
[14/5000][85/535][1054] Loss_D: -0.081206 Loss_G: 0.039105 Loss_D_real: -0.044422 Loss_D_fake 0.036785
[14/5000][90/535][1055] Loss_D: -0.080652 Loss_G: 0.041426 Loss_D_real: -0.042058 Loss_D_fake 0.038594
[14/5000][95/535][1056] Loss_D: -0.083348 Loss_G: 0.043737 Loss_D_real: -0.047512 Loss_D_fake 0.035836
[14/5000][100/535][1057] Loss_D: -0.083163 Loss_G: 0.041272 Loss_D_real: -0.042690 Loss_D_fake 0.040473
[14/5000][105/535][1058] Loss_D: -0.080293 Loss_G: 0.040689 Loss_D_real: -0.040885 Loss_D_fake 0.039408
[14/5000][110/535][1059] Loss_D: -0.076781 Loss_G: 0.053871 Loss_D_real: -0.048315 Loss_D_fake 0.028467
[14/5000][115/535][1060] Loss_D: -0.074913 Loss_G: 0.006040 Loss_D_real: -0.019874 Loss_D_fake 0.055039
[14/5000][120/535][1061] Loss_D: -0.075819 Loss_G: 0.063987 Loss_D_real: -0.062489 Loss_D_fake 0.013330
[14/5000][125/535][1062] Loss_D: -0.078056 Loss_G: 0.011745 Loss_D_real: -0.019571 Loss_D_fake 0.058485
[14/5000][130/535][1063] Loss_D: -0.079045 Loss_G: 0.056069 Loss_D_real: -0.053033 Loss_D_fake 0.026012
[14/5000][135/535][1064] Loss_D: -0.083555 Loss_G: 0.032147 Loss_D_real: -0.035672 Loss_D_fake 0.047883
[14/5000][140/535][1065] Loss_D: -0.075725 Loss_G: 0.034527 Loss_D_real: -0.034843 Loss_D_fake 0.040882
[14/5000][145/535][1066] Loss_D: -0.077137 Loss_G: 0.049628 Loss_D_real: -0.049278 Loss_D_fake 0.027858
[14/5000][150/535][1067] Loss_D: -0.078567 Loss_G: 0.032751 Loss_D_real: -0.039080 Loss_D_fake 0.039486
[14/5000][155/535][1068] Loss_D: -0.078681 Loss_G: 0.052557 Loss_D_real: -0.050874 Loss_D_fake 0.027807
[14/5000][160/535][1069] Loss_D: -0.080340 Loss_G: 0.033860 Loss_D_real: -0.037520 Loss_D_fake 0.042820
[14/5000][165/535][1070] Loss_D: -0.079311 Loss_G: 0.037453 Loss_D_real: -0.042563 Loss_D_fake 0.036749
[14/5000][170/535][1071] Loss_D: -0.081052 Loss_G: 0.046907 Loss_D_real: -0.049498 Loss_D_fake 0.031553
[14/5000][175/535][1072] Loss_D: -0.080794 Loss_G: 0.027672 Loss_D_real: -0.033547 Loss_D_fake 0.047247
[14/5000][180/535][1073] Loss_D: -0.081255 Loss_G: 0.053372 Loss_D_real: -0.050100 Loss_D_fake 0.031156
[14/5000][185/535][1074] Loss_D: -0.082375 Loss_G: 0.019564 Loss_D_real: -0.028341 Loss_D_fake 0.054034
[14/5000][190/535][1075] Loss_D: -0.081608 Loss_G: 0.062306 Loss_D_real: -0.060893 Loss_D_fake 0.020715
[14/5000][195/535][1076] Loss_D: -0.076930 Loss_G: 0.016617 Loss_D_real: -0.019813 Loss_D_fake 0.057117
[14/5000][200/535][1077] Loss_D: -0.076266 Loss_G: 0.052621 Loss_D_real: -0.051577 Loss_D_fake 0.024689
[14/5000][205/535][1078] Loss_D: -0.076574 Loss_G: 0.026463 Loss_D_real: -0.032158 Loss_D_fake 0.044416
[14/5000][210/535][1079] Loss_D: -0.077050 Loss_G: 0.049381 Loss_D_real: -0.048819 Loss_D_fake 0.028231
[14/5000][215/535][1080] Loss_D: -0.077397 Loss_G: 0.019807 Loss_D_real: -0.027987 Loss_D_fake 0.049411
[14/5000][220/535][1081] Loss_D: -0.078775 Loss_G: 0.047748 Loss_D_real: -0.049867 Loss_D_fake 0.028908
[14/5000][225/535][1082] Loss_D: -0.079007 Loss_G: 0.030906 Loss_D_real: -0.032998 Loss_D_fake 0.046009
[14/5000][230/535][1083] Loss_D: -0.080100 Loss_G: 0.050090 Loss_D_real: -0.050111 Loss_D_fake 0.029989
[14/5000][235/535][1084] Loss_D: -0.079588 Loss_G: 0.025849 Loss_D_real: -0.031690 Loss_D_fake 0.047898
[14/5000][240/535][1085] Loss_D: -0.078664 Loss_G: 0.046856 Loss_D_real: -0.043636 Loss_D_fake 0.035028
[14/5000][245/535][1086] Loss_D: -0.078481 Loss_G: 0.037677 Loss_D_real: -0.039519 Loss_D_fake 0.038961
[14/5000][250/535][1087] Loss_D: -0.079248 Loss_G: 0.043550 Loss_D_real: -0.045513 Loss_D_fake 0.033736
[14/5000][255/535][1088] Loss_D: -0.075155 Loss_G: 0.039936 Loss_D_real: -0.038601 Loss_D_fake 0.036554
[14/5000][260/535][1089] Loss_D: -0.078327 Loss_G: 0.026802 Loss_D_real: -0.038230 Loss_D_fake 0.040098
[14/5000][265/535][1090] Loss_D: -0.078026 Loss_G: 0.060149 Loss_D_real: -0.058314 Loss_D_fake 0.019712
[14/5000][270/535][1091] Loss_D: -0.078146 Loss_G: 0.016325 Loss_D_real: -0.022071 Loss_D_fake 0.056076
[14/5000][275/535][1092] Loss_D: -0.080236 Loss_G: 0.063435 Loss_D_real: -0.061458 Loss_D_fake 0.018778
[14/5000][280/535][1093] Loss_D: -0.082420 Loss_G: 0.034050 Loss_D_real: -0.033089 Loss_D_fake 0.049331
[14/5000][285/535][1094] Loss_D: -0.076251 Loss_G: 0.028113 Loss_D_real: -0.037318 Loss_D_fake 0.038933
[14/5000][290/535][1095] Loss_D: -0.072651 Loss_G: 0.051865 Loss_D_real: -0.052834 Loss_D_fake 0.019817
[14/5000][295/535][1096] Loss_D: -0.076985 Loss_G: 0.030455 Loss_D_real: -0.033139 Loss_D_fake 0.043846
[14/5000][300/535][1097] Loss_D: -0.076794 Loss_G: 0.054956 Loss_D_real: -0.051135 Loss_D_fake 0.025659
[14/5000][305/535][1098] Loss_D: -0.078732 Loss_G: 0.038174 Loss_D_real: -0.041955 Loss_D_fake 0.036777
[14/5000][310/535][1099] Loss_D: -0.077043 Loss_G: 0.043566 Loss_D_real: -0.041100 Loss_D_fake 0.035943
[14/5000][315/535][1100] Loss_D: -0.076855 Loss_G: 0.025910 Loss_D_real: -0.033082 Loss_D_fake 0.043773
[14/5000][320/535][1101] Loss_D: -0.080370 Loss_G: 0.060553 Loss_D_real: -0.058578 Loss_D_fake 0.021792
[14/5000][325/535][1102] Loss_D: -0.078562 Loss_G: 0.022531 Loss_D_real: -0.024503 Loss_D_fake 0.054059
[14/5000][330/535][1103] Loss_D: -0.076826 Loss_G: 0.056785 Loss_D_real: -0.058622 Loss_D_fake 0.018204
[14/5000][335/535][1104] Loss_D: -0.078796 Loss_G: 0.031395 Loss_D_real: -0.033029 Loss_D_fake 0.045767
[14/5000][340/535][1105] Loss_D: -0.078534 Loss_G: 0.033672 Loss_D_real: -0.037066 Loss_D_fake 0.041468
[14/5000][345/535][1106] Loss_D: -0.083002 Loss_G: 0.042899 Loss_D_real: -0.046715 Loss_D_fake 0.036287
[14/5000][350/535][1107] Loss_D: -0.077053 Loss_G: 0.042118 Loss_D_real: -0.043846 Loss_D_fake 0.033207
[14/5000][355/535][1108] Loss_D: -0.079266 Loss_G: 0.033298 Loss_D_real: -0.038510 Loss_D_fake 0.040755
[14/5000][360/535][1109] Loss_D: -0.076298 Loss_G: 0.059085 Loss_D_real: -0.055140 Loss_D_fake 0.021158
[14/5000][365/535][1110] Loss_D: -0.080044 Loss_G: 0.023396 Loss_D_real: -0.025050 Loss_D_fake 0.054994
[14/5000][370/535][1111] Loss_D: -0.077877 Loss_G: 0.037998 Loss_D_real: -0.039910 Loss_D_fake 0.037967
[14/5000][375/535][1112] Loss_D: -0.075634 Loss_G: 0.051121 Loss_D_real: -0.047018 Loss_D_fake 0.028616
[14/5000][380/535][1113] Loss_D: -0.081407 Loss_G: 0.037321 Loss_D_real: -0.038620 Loss_D_fake 0.042788
[14/5000][385/535][1114] Loss_D: -0.079009 Loss_G: 0.041836 Loss_D_real: -0.044111 Loss_D_fake 0.034898
[14/5000][390/535][1115] Loss_D: -0.078583 Loss_G: 0.053970 Loss_D_real: -0.051702 Loss_D_fake 0.026881
[14/5000][395/535][1116] Loss_D: -0.073593 Loss_G: 0.027468 Loss_D_real: -0.032146 Loss_D_fake 0.041447
[14/5000][400/535][1117] Loss_D: -0.079085 Loss_G: 0.048203 Loss_D_real: -0.048802 Loss_D_fake 0.030283
[14/5000][405/535][1118] Loss_D: -0.078741 Loss_G: 0.028301 Loss_D_real: -0.032089 Loss_D_fake 0.046652
[14/5000][410/535][1119] Loss_D: -0.079507 Loss_G: 0.064592 Loss_D_real: -0.059639 Loss_D_fake 0.019868
[14/5000][415/535][1120] Loss_D: -0.076581 Loss_G: 0.012810 Loss_D_real: -0.019490 Loss_D_fake 0.057090
[14/5000][420/535][1121] Loss_D: -0.076227 Loss_G: 0.060605 Loss_D_real: -0.060125 Loss_D_fake 0.016102
[14/5000][425/535][1122] Loss_D: -0.078592 Loss_G: 0.025136 Loss_D_real: -0.024676 Loss_D_fake 0.053916
[14/5000][430/535][1123] Loss_D: -0.078478 Loss_G: 0.035426 Loss_D_real: -0.038939 Loss_D_fake 0.039539
[14/5000][435/535][1124] Loss_D: -0.079893 Loss_G: 0.046882 Loss_D_real: -0.047079 Loss_D_fake 0.032815
[14/5000][440/535][1125] Loss_D: -0.081691 Loss_G: 0.038442 Loss_D_real: -0.040726 Loss_D_fake 0.040965
[14/5000][445/535][1126] Loss_D: -0.079955 Loss_G: 0.049245 Loss_D_real: -0.052816 Loss_D_fake 0.027138
[14/5000][450/535][1127] Loss_D: -0.080472 Loss_G: 0.030752 Loss_D_real: -0.030155 Loss_D_fake 0.050318
[14/5000][455/535][1128] Loss_D: -0.080583 Loss_G: 0.041800 Loss_D_real: -0.040442 Loss_D_fake 0.040140
[14/5000][460/535][1129] Loss_D: -0.077090 Loss_G: 0.031960 Loss_D_real: -0.036108 Loss_D_fake 0.040983
[14/5000][465/535][1130] Loss_D: -0.080484 Loss_G: 0.043842 Loss_D_real: -0.045287 Loss_D_fake 0.035198
[14/5000][470/535][1131] Loss_D: -0.078904 Loss_G: 0.043669 Loss_D_real: -0.043077 Loss_D_fake 0.035827
[14/5000][475/535][1132] Loss_D: -0.080867 Loss_G: 0.025011 Loss_D_real: -0.030535 Loss_D_fake 0.050332
[14/5000][480/535][1133] Loss_D: -0.078554 Loss_G: 0.044637 Loss_D_real: -0.047235 Loss_D_fake 0.031319
[14/5000][485/535][1134] Loss_D: -0.076278 Loss_G: 0.044800 Loss_D_real: -0.044429 Loss_D_fake 0.031849
[14/5000][490/535][1135] Loss_D: -0.076098 Loss_G: 0.018250 Loss_D_real: -0.025006 Loss_D_fake 0.051092
[14/5000][495/535][1136] Loss_D: -0.075088 Loss_G: 0.050828 Loss_D_real: -0.052042 Loss_D_fake 0.023047
[14/5000][500/535][1137] Loss_D: -0.076039 Loss_G: 0.033942 Loss_D_real: -0.032314 Loss_D_fake 0.043725
[14/5000][505/535][1138] Loss_D: -0.077001 Loss_G: 0.049086 Loss_D_real: -0.046756 Loss_D_fake 0.030245
[14/5000][510/535][1139] Loss_D: -0.077100 Loss_G: 0.027666 Loss_D_real: -0.029241 Loss_D_fake 0.047858
[14/5000][515/535][1140] Loss_D: -0.076886 Loss_G: 0.055488 Loss_D_real: -0.055733 Loss_D_fake 0.021154
[14/5000][520/535][1141] Loss_D: -0.078742 Loss_G: 0.009751 Loss_D_real: -0.021239 Loss_D_fake 0.057503
[14/5000][525/535][1142] Loss_D: -0.077423 Loss_G: 0.062249 Loss_D_real: -0.060655 Loss_D_fake 0.016768
[14/5000][530/535][1143] Loss_D: -0.077419 Loss_G: 0.022193 Loss_D_real: -0.025371 Loss_D_fake 0.052049
[14/5000][535/535][1144] Loss_D: -0.084836 Loss_G: 0.038671 Loss_D_real: -0.052429 Loss_D_fake 0.032407
[15/5000][5/535][1145] Loss_D: -0.076678 Loss_G: 0.048642 Loss_D_real: -0.049663 Loss_D_fake 0.027015
[15/5000][10/535][1146] Loss_D: -0.075875 Loss_G: 0.028935 Loss_D_real: -0.033450 Loss_D_fake 0.042425
[15/5000][15/535][1147] Loss_D: -0.075055 Loss_G: 0.040458 Loss_D_real: -0.038480 Loss_D_fake 0.036575
[15/5000][20/535][1148] Loss_D: -0.075482 Loss_G: 0.037442 Loss_D_real: -0.039616 Loss_D_fake 0.035866
[15/5000][25/535][1149] Loss_D: -0.073967 Loss_G: 0.040547 Loss_D_real: -0.040127 Loss_D_fake 0.033840
[15/5000][30/535][1150] Loss_D: -0.079003 Loss_G: 0.028846 Loss_D_real: -0.035118 Loss_D_fake 0.043885
[15/5000][35/535][1151] Loss_D: -0.078267 Loss_G: 0.059054 Loss_D_real: -0.055245 Loss_D_fake 0.023022
[15/5000][40/535][1152] Loss_D: -0.080359 Loss_G: 0.022393 Loss_D_real: -0.026611 Loss_D_fake 0.053749
[15/5000][45/535][1153] Loss_D: -0.073932 Loss_G: 0.052693 Loss_D_real: -0.051551 Loss_D_fake 0.022381
[15/5000][50/535][1154] Loss_D: -0.079478 Loss_G: 0.035102 Loss_D_real: -0.036877 Loss_D_fake 0.042601
[15/5000][55/535][1155] Loss_D: -0.080442 Loss_G: 0.026525 Loss_D_real: -0.033472 Loss_D_fake 0.046970
[15/5000][60/535][1156] Loss_D: -0.076762 Loss_G: 0.052656 Loss_D_real: -0.051088 Loss_D_fake 0.025673
[15/5000][65/535][1157] Loss_D: -0.078021 Loss_G: 0.044756 Loss_D_real: -0.044507 Loss_D_fake 0.033514
[15/5000][70/535][1158] Loss_D: -0.077029 Loss_G: 0.029301 Loss_D_real: -0.033319 Loss_D_fake 0.043710
[15/5000][75/535][1159] Loss_D: -0.076264 Loss_G: 0.049354 Loss_D_real: -0.046964 Loss_D_fake 0.029300
[15/5000][80/535][1160] Loss_D: -0.078009 Loss_G: 0.040095 Loss_D_real: -0.035815 Loss_D_fake 0.042194
[15/5000][85/535][1161] Loss_D: -0.080439 Loss_G: 0.041625 Loss_D_real: -0.042370 Loss_D_fake 0.038068
[15/5000][90/535][1162] Loss_D: -0.081757 Loss_G: 0.038138 Loss_D_real: -0.040755 Loss_D_fake 0.041002
[15/5000][95/535][1163] Loss_D: -0.080598 Loss_G: 0.047094 Loss_D_real: -0.044269 Loss_D_fake 0.036330
[15/5000][100/535][1164] Loss_D: -0.078454 Loss_G: 0.028878 Loss_D_real: -0.032349 Loss_D_fake 0.046106
[15/5000][105/535][1165] Loss_D: -0.077081 Loss_G: 0.059767 Loss_D_real: -0.056645 Loss_D_fake 0.020436
[15/5000][110/535][1166] Loss_D: -0.075317 Loss_G: 0.006421 Loss_D_real: -0.014624 Loss_D_fake 0.060693
[15/5000][115/535][1167] Loss_D: -0.079076 Loss_G: 0.062306 Loss_D_real: -0.064127 Loss_D_fake 0.014948
[15/5000][120/535][1168] Loss_D: -0.078477 Loss_G: 0.012974 Loss_D_real: -0.023897 Loss_D_fake 0.054580
[15/5000][125/535][1169] Loss_D: -0.077007 Loss_G: 0.057134 Loss_D_real: -0.054870 Loss_D_fake 0.022137
[15/5000][130/535][1170] Loss_D: -0.081377 Loss_G: 0.036008 Loss_D_real: -0.034496 Loss_D_fake 0.046881
[15/5000][135/535][1171] Loss_D: -0.076708 Loss_G: 0.035892 Loss_D_real: -0.035028 Loss_D_fake 0.041681
[15/5000][140/535][1172] Loss_D: -0.077105 Loss_G: 0.054212 Loss_D_real: -0.054920 Loss_D_fake 0.022185
[15/5000][145/535][1173] Loss_D: -0.076535 Loss_G: 0.040264 Loss_D_real: -0.036885 Loss_D_fake 0.039650
[15/5000][150/535][1174] Loss_D: -0.080068 Loss_G: 0.031347 Loss_D_real: -0.037465 Loss_D_fake 0.042603
[15/5000][155/535][1175] Loss_D: -0.078013 Loss_G: 0.046880 Loss_D_real: -0.043484 Loss_D_fake 0.034529
[15/5000][160/535][1176] Loss_D: -0.078534 Loss_G: 0.048487 Loss_D_real: -0.046405 Loss_D_fake 0.032129
[15/5000][165/535][1177] Loss_D: -0.077328 Loss_G: 0.033127 Loss_D_real: -0.036376 Loss_D_fake 0.040952
[15/5000][170/535][1178] Loss_D: -0.078947 Loss_G: 0.051823 Loss_D_real: -0.051073 Loss_D_fake 0.027874
[15/5000][175/535][1179] Loss_D: -0.077762 Loss_G: 0.029251 Loss_D_real: -0.028022 Loss_D_fake 0.049740
[15/5000][180/535][1180] Loss_D: -0.076824 Loss_G: 0.051006 Loss_D_real: -0.052239 Loss_D_fake 0.024585
[15/5000][185/535][1181] Loss_D: -0.077260 Loss_G: 0.018918 Loss_D_real: -0.025266 Loss_D_fake 0.051994
[15/5000][190/535][1182] Loss_D: -0.078833 Loss_G: 0.047128 Loss_D_real: -0.047541 Loss_D_fake 0.031292
[15/5000][195/535][1183] Loss_D: -0.079833 Loss_G: 0.038163 Loss_D_real: -0.041169 Loss_D_fake 0.038664
[15/5000][200/535][1184] Loss_D: -0.076663 Loss_G: 0.041562 Loss_D_real: -0.044453 Loss_D_fake 0.032211
[15/5000][205/535][1185] Loss_D: -0.079879 Loss_G: 0.040544 Loss_D_real: -0.040984 Loss_D_fake 0.038895
[15/5000][210/535][1186] Loss_D: -0.079130 Loss_G: 0.044468 Loss_D_real: -0.042265 Loss_D_fake 0.036865
[15/5000][215/535][1187] Loss_D: -0.076300 Loss_G: 0.009892 Loss_D_real: -0.018877 Loss_D_fake 0.057423
[15/5000][220/535][1188] Loss_D: -0.076618 Loss_G: 0.053331 Loss_D_real: -0.057617 Loss_D_fake 0.019002
[15/5000][225/535][1189] Loss_D: -0.079547 Loss_G: 0.038350 Loss_D_real: -0.039289 Loss_D_fake 0.040258
[15/5000][230/535][1190] Loss_D: -0.078879 Loss_G: 0.042991 Loss_D_real: -0.042810 Loss_D_fake 0.036069
[15/5000][235/535][1191] Loss_D: -0.078188 Loss_G: 0.038661 Loss_D_real: -0.037613 Loss_D_fake 0.040575
[15/5000][240/535][1192] Loss_D: -0.079934 Loss_G: 0.046856 Loss_D_real: -0.045600 Loss_D_fake 0.034334
[15/5000][245/535][1193] Loss_D: -0.078748 Loss_G: 0.028758 Loss_D_real: -0.030088 Loss_D_fake 0.048660
[15/5000][250/535][1194] Loss_D: -0.078047 Loss_G: 0.058581 Loss_D_real: -0.053412 Loss_D_fake 0.024635
[15/5000][255/535][1195] Loss_D: -0.076017 Loss_G: 0.029047 Loss_D_real: -0.029518 Loss_D_fake 0.046499
[15/5000][260/535][1196] Loss_D: -0.082423 Loss_G: 0.024677 Loss_D_real: -0.034926 Loss_D_fake 0.047497
[15/5000][265/535][1197] Loss_D: -0.075190 Loss_G: 0.054589 Loss_D_real: -0.048444 Loss_D_fake 0.026746
[15/5000][270/535][1198] Loss_D: -0.077357 Loss_G: 0.014086 Loss_D_real: -0.026713 Loss_D_fake 0.050644
[15/5000][275/535][1199] Loss_D: -0.077298 Loss_G: 0.064428 Loss_D_real: -0.063127 Loss_D_fake 0.014171
[15/5000][280/535][1200] Loss_D: -0.076846 Loss_G: 0.017849 Loss_D_real: -0.021647 Loss_D_fake 0.055199
[15/5000][285/535][1201] Loss_D: -0.080945 Loss_G: 0.050617 Loss_D_real: -0.050506 Loss_D_fake 0.030439
[15/5000][290/535][1202] Loss_D: -0.077188 Loss_G: 0.024273 Loss_D_real: -0.026971 Loss_D_fake 0.050217
[15/5000][295/535][1203] Loss_D: -0.077823 Loss_G: 0.046725 Loss_D_real: -0.046353 Loss_D_fake 0.031470
[15/5000][300/535][1204] Loss_D: -0.078435 Loss_G: 0.029726 Loss_D_real: -0.033267 Loss_D_fake 0.045168
[15/5000][305/535][1205] Loss_D: -0.078800 Loss_G: 0.047403 Loss_D_real: -0.050519 Loss_D_fake 0.028281
[15/5000][310/535][1206] Loss_D: -0.080155 Loss_G: 0.033034 Loss_D_real: -0.034327 Loss_D_fake 0.045828
[15/5000][315/535][1207] Loss_D: -0.080091 Loss_G: 0.040416 Loss_D_real: -0.043227 Loss_D_fake 0.036864
[15/5000][320/535][1208] Loss_D: -0.076811 Loss_G: 0.036553 Loss_D_real: -0.038015 Loss_D_fake 0.038796
[15/5000][325/535][1209] Loss_D: -0.080543 Loss_G: 0.042621 Loss_D_real: -0.043521 Loss_D_fake 0.037022
[15/5000][330/535][1210] Loss_D: -0.077947 Loss_G: 0.028188 Loss_D_real: -0.033157 Loss_D_fake 0.044790
[15/5000][335/535][1211] Loss_D: -0.078688 Loss_G: 0.050812 Loss_D_real: -0.050820 Loss_D_fake 0.027868
[15/5000][340/535][1212] Loss_D: -0.079590 Loss_G: 0.028309 Loss_D_real: -0.034481 Loss_D_fake 0.045109
[15/5000][345/535][1213] Loss_D: -0.079032 Loss_G: 0.042926 Loss_D_real: -0.041648 Loss_D_fake 0.037384
[15/5000][350/535][1214] Loss_D: -0.077713 Loss_G: 0.022200 Loss_D_real: -0.030321 Loss_D_fake 0.047393
[15/5000][355/535][1215] Loss_D: -0.079939 Loss_G: 0.055130 Loss_D_real: -0.056220 Loss_D_fake 0.023719
[15/5000][360/535][1216] Loss_D: -0.078611 Loss_G: 0.038239 Loss_D_real: -0.037042 Loss_D_fake 0.041569
[15/5000][365/535][1217] Loss_D: -0.079446 Loss_G: 0.036284 Loss_D_real: -0.038418 Loss_D_fake 0.041028
[15/5000][370/535][1218] Loss_D: -0.077710 Loss_G: 0.041256 Loss_D_real: -0.042207 Loss_D_fake 0.035503
[15/5000][375/535][1219] Loss_D: -0.078960 Loss_G: 0.052345 Loss_D_real: -0.051417 Loss_D_fake 0.027543
[15/5000][380/535][1220] Loss_D: -0.075087 Loss_G: 0.009277 Loss_D_real: -0.017070 Loss_D_fake 0.058017
[15/5000][385/535][1221] Loss_D: -0.074317 Loss_G: 0.062810 Loss_D_real: -0.063089 Loss_D_fake 0.011227
[15/5000][390/535][1222] Loss_D: -0.080076 Loss_G: 0.021007 Loss_D_real: -0.026838 Loss_D_fake 0.053238
[15/5000][395/535][1223] Loss_D: -0.076701 Loss_G: 0.055839 Loss_D_real: -0.052462 Loss_D_fake 0.024239
[15/5000][400/535][1224] Loss_D: -0.077218 Loss_G: 0.033419 Loss_D_real: -0.032818 Loss_D_fake 0.044400
[15/5000][405/535][1225] Loss_D: -0.078855 Loss_G: 0.035733 Loss_D_real: -0.040821 Loss_D_fake 0.038035
[15/5000][410/535][1226] Loss_D: -0.076669 Loss_G: 0.049217 Loss_D_real: -0.053520 Loss_D_fake 0.023149
[15/5000][415/535][1227] Loss_D: -0.077692 Loss_G: 0.026647 Loss_D_real: -0.027827 Loss_D_fake 0.049865
[15/5000][420/535][1228] Loss_D: -0.078201 Loss_G: 0.040014 Loss_D_real: -0.040086 Loss_D_fake 0.038115
[15/5000][425/535][1229] Loss_D: -0.079842 Loss_G: 0.029428 Loss_D_real: -0.040018 Loss_D_fake 0.039825
[15/5000][430/535][1230] Loss_D: -0.076395 Loss_G: 0.051147 Loss_D_real: -0.052742 Loss_D_fake 0.023653
[15/5000][435/535][1231] Loss_D: -0.080270 Loss_G: 0.025637 Loss_D_real: -0.027634 Loss_D_fake 0.052636
[15/5000][440/535][1232] Loss_D: -0.078252 Loss_G: 0.043873 Loss_D_real: -0.048209 Loss_D_fake 0.030043
[15/5000][445/535][1233] Loss_D: -0.076738 Loss_G: 0.039928 Loss_D_real: -0.041163 Loss_D_fake 0.035575
[15/5000][450/535][1234] Loss_D: -0.078433 Loss_G: 0.043834 Loss_D_real: -0.043914 Loss_D_fake 0.034519
[15/5000][455/535][1235] Loss_D: -0.078155 Loss_G: 0.041433 Loss_D_real: -0.041250 Loss_D_fake 0.036904
[15/5000][460/535][1236] Loss_D: -0.080271 Loss_G: 0.056341 Loss_D_real: -0.049310 Loss_D_fake 0.030962
[15/5000][465/535][1237] Loss_D: -0.079272 Loss_G: 0.024845 Loss_D_real: -0.034398 Loss_D_fake 0.044874
[15/5000][470/535][1238] Loss_D: -0.080416 Loss_G: 0.058315 Loss_D_real: -0.057417 Loss_D_fake 0.022999
[15/5000][475/535][1239] Loss_D: -0.080331 Loss_G: 0.019265 Loss_D_real: -0.024733 Loss_D_fake 0.055597
[15/5000][480/535][1240] Loss_D: -0.077939 Loss_G: 0.054616 Loss_D_real: -0.054625 Loss_D_fake 0.023314
[15/5000][485/535][1241] Loss_D: -0.079856 Loss_G: 0.028174 Loss_D_real: -0.032170 Loss_D_fake 0.047686
[15/5000][490/535][1242] Loss_D: -0.079753 Loss_G: 0.057072 Loss_D_real: -0.052136 Loss_D_fake 0.027617
[15/5000][495/535][1243] Loss_D: -0.077189 Loss_G: 0.038310 Loss_D_real: -0.034159 Loss_D_fake 0.043030
[15/5000][500/535][1244] Loss_D: -0.080336 Loss_G: 0.028392 Loss_D_real: -0.038669 Loss_D_fake 0.041667
[15/5000][505/535][1245] Loss_D: -0.079954 Loss_G: 0.052722 Loss_D_real: -0.050267 Loss_D_fake 0.029687
[15/5000][510/535][1246] Loss_D: -0.080504 Loss_G: 0.024400 Loss_D_real: -0.030979 Loss_D_fake 0.049525
[15/5000][515/535][1247] Loss_D: -0.077669 Loss_G: 0.060923 Loss_D_real: -0.058253 Loss_D_fake 0.019416
[15/5000][520/535][1248] Loss_D: -0.079976 Loss_G: 0.017698 Loss_D_real: -0.024907 Loss_D_fake 0.055069
[15/5000][525/535][1249] Loss_D: -0.080569 Loss_G: 0.058807 Loss_D_real: -0.056175 Loss_D_fake 0.024394
[15/5000][530/535][1250] Loss_D: -0.076540 Loss_G: 0.021998 Loss_D_real: -0.020860 Loss_D_fake 0.055680
[15/5000][535/535][1251] Loss_D: -0.074570 Loss_G: 0.038853 Loss_D_real: -0.048414 Loss_D_fake 0.026156
[16/5000][5/535][1252] Loss_D: -0.079248 Loss_G: 0.034742 Loss_D_real: -0.032689 Loss_D_fake 0.046558
[16/5000][10/535][1253] Loss_D: -0.079229 Loss_G: 0.050762 Loss_D_real: -0.046657 Loss_D_fake 0.032572
[16/5000][15/535][1254] Loss_D: -0.079870 Loss_G: 0.023460 Loss_D_real: -0.031380 Loss_D_fake 0.048489
[16/5000][20/535][1255] Loss_D: -0.080767 Loss_G: 0.052174 Loss_D_real: -0.051339 Loss_D_fake 0.029428
[16/5000][25/535][1256] Loss_D: -0.078010 Loss_G: 0.027188 Loss_D_real: -0.032512 Loss_D_fake 0.045498
[16/5000][30/535][1257] Loss_D: -0.081161 Loss_G: 0.043257 Loss_D_real: -0.046076 Loss_D_fake 0.035085
[16/5000][35/535][1258] Loss_D: -0.079140 Loss_G: 0.039194 Loss_D_real: -0.037954 Loss_D_fake 0.041186
[16/5000][40/535][1259] Loss_D: -0.082225 Loss_G: 0.044212 Loss_D_real: -0.043296 Loss_D_fake 0.038929
[16/5000][45/535][1260] Loss_D: -0.077897 Loss_G: 0.030564 Loss_D_real: -0.032621 Loss_D_fake 0.045275
[16/5000][50/535][1261] Loss_D: -0.082924 Loss_G: 0.051683 Loss_D_real: -0.051134 Loss_D_fake 0.031790
[16/5000][55/535][1262] Loss_D: -0.077838 Loss_G: 0.017526 Loss_D_real: -0.022070 Loss_D_fake 0.055768
[16/5000][60/535][1263] Loss_D: -0.079392 Loss_G: 0.045282 Loss_D_real: -0.048854 Loss_D_fake 0.030539
[16/5000][65/535][1264] Loss_D: -0.079371 Loss_G: 0.036889 Loss_D_real: -0.034677 Loss_D_fake 0.044695
[16/5000][70/535][1265] Loss_D: -0.080094 Loss_G: 0.037808 Loss_D_real: -0.041572 Loss_D_fake 0.038521
[16/5000][75/535][1266] Loss_D: -0.079924 Loss_G: 0.042518 Loss_D_real: -0.042693 Loss_D_fake 0.037231
[16/5000][80/535][1267] Loss_D: -0.081659 Loss_G: 0.043975 Loss_D_real: -0.046433 Loss_D_fake 0.035226
[16/5000][85/535][1268] Loss_D: -0.079704 Loss_G: 0.041802 Loss_D_real: -0.039510 Loss_D_fake 0.040194
[16/5000][90/535][1269] Loss_D: -0.079077 Loss_G: 0.037538 Loss_D_real: -0.039699 Loss_D_fake 0.039378
[16/5000][95/535][1270] Loss_D: -0.079530 Loss_G: 0.041988 Loss_D_real: -0.046611 Loss_D_fake 0.032919
[16/5000][100/535][1271] Loss_D: -0.082583 Loss_G: 0.040191 Loss_D_real: -0.044758 Loss_D_fake 0.037824
[16/5000][105/535][1272] Loss_D: -0.078090 Loss_G: 0.019694 Loss_D_real: -0.023308 Loss_D_fake 0.054783
[16/5000][110/535][1273] Loss_D: -0.077796 Loss_G: 0.064074 Loss_D_real: -0.064664 Loss_D_fake 0.013132
[16/5000][115/535][1274] Loss_D: -0.078074 Loss_G: 0.011796 Loss_D_real: -0.017845 Loss_D_fake 0.060229
[16/5000][120/535][1275] Loss_D: -0.078142 Loss_G: 0.051648 Loss_D_real: -0.055563 Loss_D_fake 0.022579
[16/5000][125/535][1276] Loss_D: -0.080671 Loss_G: 0.035140 Loss_D_real: -0.031513 Loss_D_fake 0.049158
[16/5000][130/535][1277] Loss_D: -0.083070 Loss_G: 0.043614 Loss_D_real: -0.045772 Loss_D_fake 0.037298
[16/5000][135/535][1278] Loss_D: -0.080537 Loss_G: 0.037105 Loss_D_real: -0.043275 Loss_D_fake 0.037262
[16/5000][140/535][1279] Loss_D: -0.080055 Loss_G: 0.052266 Loss_D_real: -0.048103 Loss_D_fake 0.031952
[16/5000][145/535][1280] Loss_D: -0.078186 Loss_G: 0.017462 Loss_D_real: -0.025085 Loss_D_fake 0.053101
[16/5000][150/535][1281] Loss_D: -0.079584 Loss_G: 0.064383 Loss_D_real: -0.061378 Loss_D_fake 0.018206
[16/5000][155/535][1282] Loss_D: -0.081723 Loss_G: 0.031288 Loss_D_real: -0.030084 Loss_D_fake 0.051639
[16/5000][160/535][1283] Loss_D: -0.079627 Loss_G: 0.043881 Loss_D_real: -0.046721 Loss_D_fake 0.032906
[16/5000][165/535][1284] Loss_D: -0.081347 Loss_G: 0.041261 Loss_D_real: -0.039998 Loss_D_fake 0.041349
[16/5000][170/535][1285] Loss_D: -0.082071 Loss_G: 0.034646 Loss_D_real: -0.037997 Loss_D_fake 0.044074
[16/5000][175/535][1286] Loss_D: -0.073445 Loss_G: 0.043727 Loss_D_real: -0.041377 Loss_D_fake 0.032068
[16/5000][180/535][1287] Loss_D: -0.079106 Loss_G: 0.046147 Loss_D_real: -0.044993 Loss_D_fake 0.034113
[16/5000][185/535][1288] Loss_D: -0.079733 Loss_G: 0.030345 Loss_D_real: -0.037145 Loss_D_fake 0.042588
[16/5000][190/535][1289] Loss_D: -0.078155 Loss_G: 0.060473 Loss_D_real: -0.058252 Loss_D_fake 0.019903
[16/5000][195/535][1290] Loss_D: -0.079324 Loss_G: 0.021578 Loss_D_real: -0.023961 Loss_D_fake 0.055363
[16/5000][200/535][1291] Loss_D: -0.079124 Loss_G: 0.039884 Loss_D_real: -0.044925 Loss_D_fake 0.034199
[16/5000][205/535][1292] Loss_D: -0.078432 Loss_G: 0.048902 Loss_D_real: -0.042890 Loss_D_fake 0.035542
[16/5000][210/535][1293] Loss_D: -0.080365 Loss_G: 0.028683 Loss_D_real: -0.032248 Loss_D_fake 0.048117
[16/5000][215/535][1294] Loss_D: -0.081865 Loss_G: 0.045339 Loss_D_real: -0.045342 Loss_D_fake 0.036522
[16/5000][220/535][1295] Loss_D: -0.080055 Loss_G: 0.045508 Loss_D_real: -0.046885 Loss_D_fake 0.033170
[16/5000][225/535][1296] Loss_D: -0.081473 Loss_G: 0.023754 Loss_D_real: -0.033546 Loss_D_fake 0.047927
[16/5000][230/535][1297] Loss_D: -0.080351 Loss_G: 0.054529 Loss_D_real: -0.055129 Loss_D_fake 0.025222
[16/5000][235/535][1298] Loss_D: -0.079032 Loss_G: 0.024826 Loss_D_real: -0.029685 Loss_D_fake 0.049348
[16/5000][240/535][1299] Loss_D: -0.081917 Loss_G: 0.047023 Loss_D_real: -0.047134 Loss_D_fake 0.034783
[16/5000][245/535][1300] Loss_D: -0.078570 Loss_G: 0.044208 Loss_D_real: -0.042003 Loss_D_fake 0.036567
[16/5000][250/535][1301] Loss_D: -0.080593 Loss_G: 0.044654 Loss_D_real: -0.042693 Loss_D_fake 0.037900
[16/5000][255/535][1302] Loss_D: -0.080123 Loss_G: 0.040755 Loss_D_real: -0.040885 Loss_D_fake 0.039237
[16/5000][260/535][1303] Loss_D: -0.079467 Loss_G: 0.057753 Loss_D_real: -0.057448 Loss_D_fake 0.022019
[16/5000][265/535][1304] Loss_D: -0.077938 Loss_G: 0.007341 Loss_D_real: -0.017662 Loss_D_fake 0.060276
[16/5000][270/535][1305] Loss_D: -0.076937 Loss_G: 0.058838 Loss_D_real: -0.061142 Loss_D_fake 0.015795
[16/5000][275/535][1306] Loss_D: -0.082014 Loss_G: 0.031629 Loss_D_real: -0.034226 Loss_D_fake 0.047789
[16/5000][280/535][1307] Loss_D: -0.079472 Loss_G: 0.035585 Loss_D_real: -0.039226 Loss_D_fake 0.040245
[16/5000][285/535][1308] Loss_D: -0.079030 Loss_G: 0.046489 Loss_D_real: -0.047404 Loss_D_fake 0.031626
[16/5000][290/535][1309] Loss_D: -0.080904 Loss_G: 0.024629 Loss_D_real: -0.030601 Loss_D_fake 0.050304
[16/5000][295/535][1310] Loss_D: -0.079174 Loss_G: 0.050331 Loss_D_real: -0.053304 Loss_D_fake 0.025869
[16/5000][300/535][1311] Loss_D: -0.078522 Loss_G: 0.034823 Loss_D_real: -0.036177 Loss_D_fake 0.042345
[16/5000][305/535][1312] Loss_D: -0.079498 Loss_G: 0.045384 Loss_D_real: -0.049442 Loss_D_fake 0.030056
[16/5000][310/535][1313] Loss_D: -0.079035 Loss_G: 0.036630 Loss_D_real: -0.041802 Loss_D_fake 0.037232
[16/5000][315/535][1314] Loss_D: -0.078793 Loss_G: 0.047250 Loss_D_real: -0.044482 Loss_D_fake 0.034311
[16/5000][320/535][1315] Loss_D: -0.077617 Loss_G: 0.022136 Loss_D_real: -0.031127 Loss_D_fake 0.046490
[16/5000][325/535][1316] Loss_D: -0.076868 Loss_G: 0.056207 Loss_D_real: -0.055329 Loss_D_fake 0.021539
[16/5000][330/535][1317] Loss_D: -0.079546 Loss_G: 0.020309 Loss_D_real: -0.028157 Loss_D_fake 0.051389
[16/5000][335/535][1318] Loss_D: -0.080504 Loss_G: 0.050404 Loss_D_real: -0.055248 Loss_D_fake 0.025256
[16/5000][340/535][1319] Loss_D: -0.079929 Loss_G: 0.040220 Loss_D_real: -0.036340 Loss_D_fake 0.043588
[16/5000][345/535][1320] Loss_D: -0.080172 Loss_G: 0.040180 Loss_D_real: -0.042438 Loss_D_fake 0.037734
[16/5000][350/535][1321] Loss_D: -0.080047 Loss_G: 0.052085 Loss_D_real: -0.046753 Loss_D_fake 0.033294
[16/5000][355/535][1322] Loss_D: -0.081390 Loss_G: 0.020635 Loss_D_real: -0.031827 Loss_D_fake 0.049564
[16/5000][360/535][1323] Loss_D: -0.077683 Loss_G: 0.068520 Loss_D_real: -0.063760 Loss_D_fake 0.013923
[16/5000][365/535][1324] Loss_D: -0.077438 Loss_G: 0.013538 Loss_D_real: -0.018786 Loss_D_fake 0.058653
[16/5000][370/535][1325] Loss_D: -0.076577 Loss_G: 0.046882 Loss_D_real: -0.048549 Loss_D_fake 0.028029
[16/5000][375/535][1326] Loss_D: -0.077713 Loss_G: 0.036015 Loss_D_real: -0.037671 Loss_D_fake 0.040042
[16/5000][380/535][1327] Loss_D: -0.077890 Loss_G: 0.051454 Loss_D_real: -0.048891 Loss_D_fake 0.029000
[16/5000][385/535][1328] Loss_D: -0.081730 Loss_G: 0.030199 Loss_D_real: -0.033869 Loss_D_fake 0.047861
[16/5000][390/535][1329] Loss_D: -0.077727 Loss_G: 0.039933 Loss_D_real: -0.042991 Loss_D_fake 0.034736
[16/5000][395/535][1330] Loss_D: -0.080046 Loss_G: 0.028766 Loss_D_real: -0.035720 Loss_D_fake 0.044326
[16/5000][400/535][1331] Loss_D: -0.081207 Loss_G: 0.045997 Loss_D_real: -0.046278 Loss_D_fake 0.034929
[16/5000][405/535][1332] Loss_D: -0.080032 Loss_G: 0.031643 Loss_D_real: -0.035119 Loss_D_fake 0.044913
[16/5000][410/535][1333] Loss_D: -0.081926 Loss_G: 0.056166 Loss_D_real: -0.052555 Loss_D_fake 0.029371
[16/5000][415/535][1334] Loss_D: -0.082529 Loss_G: 0.034568 Loss_D_real: -0.036731 Loss_D_fake 0.045798
[16/5000][420/535][1335] Loss_D: -0.083081 Loss_G: 0.048754 Loss_D_real: -0.050795 Loss_D_fake 0.032286
[16/5000][425/535][1336] Loss_D: -0.083677 Loss_G: 0.038675 Loss_D_real: -0.042086 Loss_D_fake 0.041591
[16/5000][430/535][1337] Loss_D: -0.080355 Loss_G: 0.038790 Loss_D_real: -0.039948 Loss_D_fake 0.040406
[16/5000][435/535][1338] Loss_D: -0.080339 Loss_G: 0.047401 Loss_D_real: -0.045649 Loss_D_fake 0.034690
[16/5000][440/535][1339] Loss_D: -0.082808 Loss_G: 0.049290 Loss_D_real: -0.047275 Loss_D_fake 0.035533
[16/5000][445/535][1340] Loss_D: -0.077824 Loss_G: 0.013059 Loss_D_real: -0.024047 Loss_D_fake 0.053778
[16/5000][450/535][1341] Loss_D: -0.078324 Loss_G: 0.065185 Loss_D_real: -0.067083 Loss_D_fake 0.011241
[16/5000][455/535][1342] Loss_D: -0.076420 Loss_G: 0.012128 Loss_D_real: -0.015483 Loss_D_fake 0.060936
[16/5000][460/535][1343] Loss_D: -0.080568 Loss_G: 0.054937 Loss_D_real: -0.055296 Loss_D_fake 0.025272
[16/5000][465/535][1344] Loss_D: -0.081349 Loss_G: 0.021937 Loss_D_real: -0.029535 Loss_D_fake 0.051815
[16/5000][470/535][1345] Loss_D: -0.080089 Loss_G: 0.044326 Loss_D_real: -0.045975 Loss_D_fake 0.034115
[16/5000][475/535][1346] Loss_D: -0.079323 Loss_G: 0.048598 Loss_D_real: -0.046535 Loss_D_fake 0.032787
[16/5000][480/535][1347] Loss_D: -0.078323 Loss_G: 0.030452 Loss_D_real: -0.034774 Loss_D_fake 0.043549
[16/5000][485/535][1348] Loss_D: -0.081248 Loss_G: 0.049710 Loss_D_real: -0.050782 Loss_D_fake 0.030466
[16/5000][490/535][1349] Loss_D: -0.077377 Loss_G: 0.023667 Loss_D_real: -0.033073 Loss_D_fake 0.044305
[16/5000][495/535][1350] Loss_D: -0.079342 Loss_G: 0.043502 Loss_D_real: -0.044171 Loss_D_fake 0.035171
[16/5000][500/535][1351] Loss_D: -0.080459 Loss_G: 0.026575 Loss_D_real: -0.035420 Loss_D_fake 0.045039
[16/5000][505/535][1352] Loss_D: -0.079301 Loss_G: 0.034630 Loss_D_real: -0.041727 Loss_D_fake 0.037574
[16/5000][510/535][1353] Loss_D: -0.078249 Loss_G: 0.038325 Loss_D_real: -0.039198 Loss_D_fake 0.039051
[16/5000][515/535][1354] Loss_D: -0.080142 Loss_G: 0.038526 Loss_D_real: -0.042233 Loss_D_fake 0.037909
[16/5000][520/535][1355] Loss_D: -0.082119 Loss_G: 0.045148 Loss_D_real: -0.047153 Loss_D_fake 0.034967
[16/5000][525/535][1356] Loss_D: -0.076633 Loss_G: 0.003671 Loss_D_real: -0.018089 Loss_D_fake 0.058544
[16/5000][530/535][1357] Loss_D: -0.080385 Loss_G: 0.059784 Loss_D_real: -0.058524 Loss_D_fake 0.021861
[16/5000][535/535][1358] Loss_D: -0.077896 Loss_G: 0.016831 Loss_D_real: -0.021588 Loss_D_fake 0.056308
[17/5000][5/535][1359] Loss_D: -0.081750 Loss_G: 0.060455 Loss_D_real: -0.061290 Loss_D_fake 0.020460
[17/5000][10/535][1360] Loss_D: -0.081760 Loss_G: 0.038784 Loss_D_real: -0.039462 Loss_D_fake 0.042298
[17/5000][15/535][1361] Loss_D: -0.080797 Loss_G: 0.038906 Loss_D_real: -0.040789 Loss_D_fake 0.040008
[17/5000][20/535][1362] Loss_D: -0.081790 Loss_G: 0.025199 Loss_D_real: -0.034032 Loss_D_fake 0.047758
[17/5000][25/535][1363] Loss_D: -0.082092 Loss_G: 0.053173 Loss_D_real: -0.050997 Loss_D_fake 0.031095
[17/5000][30/535][1364] Loss_D: -0.081160 Loss_G: 0.022075 Loss_D_real: -0.027772 Loss_D_fake 0.053389
[17/5000][35/535][1365] Loss_D: -0.080827 Loss_G: 0.038449 Loss_D_real: -0.043619 Loss_D_fake 0.037208
[17/5000][40/535][1366] Loss_D: -0.079795 Loss_G: 0.050426 Loss_D_real: -0.046001 Loss_D_fake 0.033795
[17/5000][45/535][1367] Loss_D: -0.079149 Loss_G: 0.039537 Loss_D_real: -0.040309 Loss_D_fake 0.038840
[17/5000][50/535][1368] Loss_D: -0.080111 Loss_G: 0.032026 Loss_D_real: -0.037855 Loss_D_fake 0.042256
[17/5000][55/535][1369] Loss_D: -0.079141 Loss_G: 0.050929 Loss_D_real: -0.054543 Loss_D_fake 0.024598
[17/5000][60/535][1370] Loss_D: -0.079455 Loss_G: 0.019934 Loss_D_real: -0.025960 Loss_D_fake 0.053495
[17/5000][65/535][1371] Loss_D: -0.078556 Loss_G: 0.048749 Loss_D_real: -0.050989 Loss_D_fake 0.027567
[17/5000][70/535][1372] Loss_D: -0.079302 Loss_G: 0.049111 Loss_D_real: -0.044502 Loss_D_fake 0.034800
[17/5000][75/535][1373] Loss_D: -0.082775 Loss_G: 0.021918 Loss_D_real: -0.032203 Loss_D_fake 0.050571
[17/5000][80/535][1374] Loss_D: -0.080341 Loss_G: 0.052656 Loss_D_real: -0.053532 Loss_D_fake 0.026809
[17/5000][85/535][1375] Loss_D: -0.082682 Loss_G: 0.040180 Loss_D_real: -0.044450 Loss_D_fake 0.038232
[17/5000][90/535][1376] Loss_D: -0.077985 Loss_G: 0.020578 Loss_D_real: -0.032556 Loss_D_fake 0.045429
[17/5000][95/535][1377] Loss_D: -0.079329 Loss_G: 0.054096 Loss_D_real: -0.059136 Loss_D_fake 0.020193
[17/5000][100/535][1378] Loss_D: -0.081660 Loss_G: 0.019025 Loss_D_real: -0.027970 Loss_D_fake 0.053690
[17/5000][105/535][1379] Loss_D: -0.076385 Loss_G: 0.063385 Loss_D_real: -0.061755 Loss_D_fake 0.014631
[17/5000][110/535][1380] Loss_D: -0.079144 Loss_G: 0.016425 Loss_D_real: -0.023032 Loss_D_fake 0.056112
[17/5000][115/535][1381] Loss_D: -0.077446 Loss_G: 0.043604 Loss_D_real: -0.047471 Loss_D_fake 0.029975
[17/5000][120/535][1382] Loss_D: -0.079982 Loss_G: 0.038611 Loss_D_real: -0.042391 Loss_D_fake 0.037591
[17/5000][125/535][1383] Loss_D: -0.082955 Loss_G: 0.043366 Loss_D_real: -0.050053 Loss_D_fake 0.032901
[17/5000][130/535][1384] Loss_D: -0.077539 Loss_G: 0.031971 Loss_D_real: -0.032943 Loss_D_fake 0.044596
[17/5000][135/535][1385] Loss_D: -0.081453 Loss_G: 0.043865 Loss_D_real: -0.048810 Loss_D_fake 0.032643
[17/5000][140/535][1386] Loss_D: -0.081709 Loss_G: 0.027470 Loss_D_real: -0.029572 Loss_D_fake 0.052137
[17/5000][145/535][1387] Loss_D: -0.080778 Loss_G: 0.042743 Loss_D_real: -0.042964 Loss_D_fake 0.037814
[17/5000][150/535][1388] Loss_D: -0.081784 Loss_G: 0.045597 Loss_D_real: -0.047538 Loss_D_fake 0.034246
[17/5000][155/535][1389] Loss_D: -0.082474 Loss_G: 0.034407 Loss_D_real: -0.040698 Loss_D_fake 0.041776
[17/5000][160/535][1390] Loss_D: -0.081940 Loss_G: 0.040718 Loss_D_real: -0.044622 Loss_D_fake 0.037318
[17/5000][165/535][1391] Loss_D: -0.082723 Loss_G: 0.038269 Loss_D_real: -0.045044 Loss_D_fake 0.037679
[17/5000][170/535][1392] Loss_D: -0.082607 Loss_G: 0.031339 Loss_D_real: -0.035671 Loss_D_fake 0.046936
[17/5000][175/535][1393] Loss_D: -0.079365 Loss_G: 0.061609 Loss_D_real: -0.060035 Loss_D_fake 0.019330
[17/5000][180/535][1394] Loss_D: -0.077632 Loss_G: 0.013667 Loss_D_real: -0.017304 Loss_D_fake 0.060328
[17/5000][185/535][1395] Loss_D: -0.079186 Loss_G: 0.057278 Loss_D_real: -0.057207 Loss_D_fake 0.021979
[17/5000][190/535][1396] Loss_D: -0.080229 Loss_G: 0.024634 Loss_D_real: -0.034807 Loss_D_fake 0.045421
[17/5000][195/535][1397] Loss_D: -0.081611 Loss_G: 0.047518 Loss_D_real: -0.050632 Loss_D_fake 0.030979
[17/5000][200/535][1398] Loss_D: -0.081094 Loss_G: 0.041252 Loss_D_real: -0.045427 Loss_D_fake 0.035667
[17/5000][205/535][1399] Loss_D: -0.079406 Loss_G: 0.042104 Loss_D_real: -0.043026 Loss_D_fake 0.036380
[17/5000][210/535][1400] Loss_D: -0.078655 Loss_G: 0.053980 Loss_D_real: -0.051058 Loss_D_fake 0.027597
[17/5000][215/535][1401] Loss_D: -0.079594 Loss_G: 0.021148 Loss_D_real: -0.029576 Loss_D_fake 0.050018
[17/5000][220/535][1402] Loss_D: -0.077307 Loss_G: 0.065052 Loss_D_real: -0.063099 Loss_D_fake 0.014208
[17/5000][225/535][1403] Loss_D: -0.078006 Loss_G: 0.016532 Loss_D_real: -0.020562 Loss_D_fake 0.057444
[17/5000][230/535][1404] Loss_D: -0.081199 Loss_G: 0.055804 Loss_D_real: -0.056839 Loss_D_fake 0.024359
[17/5000][235/535][1405] Loss_D: -0.079404 Loss_G: 0.022903 Loss_D_real: -0.027394 Loss_D_fake 0.052011
[17/5000][240/535][1406] Loss_D: -0.077168 Loss_G: 0.058428 Loss_D_real: -0.056077 Loss_D_fake 0.021091
[17/5000][245/535][1407] Loss_D: -0.075688 Loss_G: 0.025763 Loss_D_real: -0.028327 Loss_D_fake 0.047361
[17/5000][250/535][1408] Loss_D: -0.076674 Loss_G: 0.037800 Loss_D_real: -0.044490 Loss_D_fake 0.032185
[17/5000][255/535][1409] Loss_D: -0.079009 Loss_G: 0.050672 Loss_D_real: -0.049548 Loss_D_fake 0.029462
[17/5000][260/535][1410] Loss_D: -0.079748 Loss_G: 0.032512 Loss_D_real: -0.032692 Loss_D_fake 0.047055
[17/5000][265/535][1411] Loss_D: -0.078964 Loss_G: 0.027475 Loss_D_real: -0.033491 Loss_D_fake 0.045473
[17/5000][270/535][1412] Loss_D: -0.081561 Loss_G: 0.050111 Loss_D_real: -0.048988 Loss_D_fake 0.032573
[17/5000][275/535][1413] Loss_D: -0.080237 Loss_G: 0.028815 Loss_D_real: -0.034851 Loss_D_fake 0.045386
[17/5000][280/535][1414] Loss_D: -0.083063 Loss_G: 0.045892 Loss_D_real: -0.050268 Loss_D_fake 0.032795
[17/5000][285/535][1415] Loss_D: -0.081253 Loss_G: 0.028603 Loss_D_real: -0.034270 Loss_D_fake 0.046983
[17/5000][290/535][1416] Loss_D: -0.080851 Loss_G: 0.055824 Loss_D_real: -0.053137 Loss_D_fake 0.027714
[17/5000][295/535][1417] Loss_D: -0.080654 Loss_G: 0.017811 Loss_D_real: -0.023914 Loss_D_fake 0.056740
[17/5000][300/535][1418] Loss_D: -0.079587 Loss_G: 0.060343 Loss_D_real: -0.062872 Loss_D_fake 0.016715
[17/5000][305/535][1419] Loss_D: -0.079119 Loss_G: 0.014088 Loss_D_real: -0.022311 Loss_D_fake 0.056808
[17/5000][310/535][1420] Loss_D: -0.081630 Loss_G: 0.056698 Loss_D_real: -0.059275 Loss_D_fake 0.022355
[17/5000][315/535][1421] Loss_D: -0.078869 Loss_G: 0.019453 Loss_D_real: -0.022369 Loss_D_fake 0.056500
[17/5000][320/535][1422] Loss_D: -0.078039 Loss_G: 0.047706 Loss_D_real: -0.049977 Loss_D_fake 0.028062
[17/5000][325/535][1423] Loss_D: -0.079975 Loss_G: 0.043501 Loss_D_real: -0.044187 Loss_D_fake 0.035788
[17/5000][330/535][1424] Loss_D: -0.076085 Loss_G: 0.031047 Loss_D_real: -0.033434 Loss_D_fake 0.042652
[17/5000][335/535][1425] Loss_D: -0.081853 Loss_G: 0.050240 Loss_D_real: -0.049044 Loss_D_fake 0.032808
[17/5000][340/535][1426] Loss_D: -0.080770 Loss_G: 0.026562 Loss_D_real: -0.033347 Loss_D_fake 0.047423
[17/5000][345/535][1427] Loss_D: -0.080011 Loss_G: 0.041067 Loss_D_real: -0.046451 Loss_D_fake 0.033560
[17/5000][350/535][1428] Loss_D: -0.081112 Loss_G: 0.029139 Loss_D_real: -0.038307 Loss_D_fake 0.042805
[17/5000][355/535][1429] Loss_D: -0.077228 Loss_G: 0.052515 Loss_D_real: -0.049319 Loss_D_fake 0.027909
[17/5000][360/535][1430] Loss_D: -0.077967 Loss_G: 0.033285 Loss_D_real: -0.035301 Loss_D_fake 0.042666
[17/5000][365/535][1431] Loss_D: -0.083144 Loss_G: 0.042948 Loss_D_real: -0.040970 Loss_D_fake 0.042174
[17/5000][370/535][1432] Loss_D: -0.079269 Loss_G: 0.038916 Loss_D_real: -0.039342 Loss_D_fake 0.039927
[17/5000][375/535][1433] Loss_D: -0.083185 Loss_G: 0.042416 Loss_D_real: -0.048059 Loss_D_fake 0.035126
[17/5000][380/535][1434] Loss_D: -0.080020 Loss_G: 0.039921 Loss_D_real: -0.043267 Loss_D_fake 0.036753
[17/5000][385/535][1435] Loss_D: -0.081936 Loss_G: 0.044690 Loss_D_real: -0.047012 Loss_D_fake 0.034924
[17/5000][390/535][1436] Loss_D: -0.078414 Loss_G: 0.010248 Loss_D_real: -0.023896 Loss_D_fake 0.054518
[17/5000][395/535][1437] Loss_D: -0.076192 Loss_G: 0.067561 Loss_D_real: -0.067135 Loss_D_fake 0.009057
[17/5000][400/535][1438] Loss_D: -0.077291 Loss_G: 0.012142 Loss_D_real: -0.019342 Loss_D_fake 0.057949
[17/5000][405/535][1439] Loss_D: -0.076697 Loss_G: 0.057022 Loss_D_real: -0.055756 Loss_D_fake 0.020941
[17/5000][410/535][1440] Loss_D: -0.078823 Loss_G: 0.031328 Loss_D_real: -0.031864 Loss_D_fake 0.046959
[17/5000][415/535][1441] Loss_D: -0.081265 Loss_G: 0.048817 Loss_D_real: -0.049280 Loss_D_fake 0.031985
[17/5000][420/535][1442] Loss_D: -0.078256 Loss_G: 0.044398 Loss_D_real: -0.044691 Loss_D_fake 0.033565
[17/5000][425/535][1443] Loss_D: -0.081896 Loss_G: 0.051325 Loss_D_real: -0.048319 Loss_D_fake 0.033577
[17/5000][430/535][1444] Loss_D: -0.082234 Loss_G: 0.025939 Loss_D_real: -0.032032 Loss_D_fake 0.050202
[17/5000][435/535][1445] Loss_D: -0.081547 Loss_G: 0.058040 Loss_D_real: -0.057956 Loss_D_fake 0.023591
[17/5000][440/535][1446] Loss_D: -0.081246 Loss_G: 0.025264 Loss_D_real: -0.030314 Loss_D_fake 0.050932
[17/5000][445/535][1447] Loss_D: -0.083034 Loss_G: 0.054648 Loss_D_real: -0.054161 Loss_D_fake 0.028873
[17/5000][450/535][1448] Loss_D: -0.078375 Loss_G: 0.022254 Loss_D_real: -0.024993 Loss_D_fake 0.053382
[17/5000][455/535][1449] Loss_D: -0.081529 Loss_G: 0.059675 Loss_D_real: -0.057879 Loss_D_fake 0.023650
[17/5000][460/535][1450] Loss_D: -0.081175 Loss_G: 0.043575 Loss_D_real: -0.041858 Loss_D_fake 0.039317
[17/5000][465/535][1451] Loss_D: -0.081331 Loss_G: 0.030888 Loss_D_real: -0.037333 Loss_D_fake 0.043998
[17/5000][470/535][1452] Loss_D: -0.080942 Loss_G: 0.050322 Loss_D_real: -0.053521 Loss_D_fake 0.027421
[17/5000][475/535][1453] Loss_D: -0.082522 Loss_G: 0.031425 Loss_D_real: -0.036565 Loss_D_fake 0.045957
[17/5000][480/535][1454] Loss_D: -0.080870 Loss_G: 0.050929 Loss_D_real: -0.049413 Loss_D_fake 0.031457
[17/5000][485/535][1455] Loss_D: -0.082356 Loss_G: 0.026314 Loss_D_real: -0.034673 Loss_D_fake 0.047682
[17/5000][490/535][1456] Loss_D: -0.080326 Loss_G: 0.065600 Loss_D_real: -0.062036 Loss_D_fake 0.018290
[17/5000][495/535][1457] Loss_D: -0.075725 Loss_G: 0.014041 Loss_D_real: -0.019170 Loss_D_fake 0.056554
[17/5000][500/535][1458] Loss_D: -0.080169 Loss_G: 0.051245 Loss_D_real: -0.049195 Loss_D_fake 0.030974
[17/5000][505/535][1459] Loss_D: -0.077725 Loss_G: 0.035549 Loss_D_real: -0.036806 Loss_D_fake 0.040919
[17/5000][510/535][1460] Loss_D: -0.084060 Loss_G: 0.036871 Loss_D_real: -0.040206 Loss_D_fake 0.043854
[17/5000][515/535][1461] Loss_D: -0.079657 Loss_G: 0.034986 Loss_D_real: -0.040098 Loss_D_fake 0.039559
[17/5000][520/535][1462] Loss_D: -0.082361 Loss_G: 0.047041 Loss_D_real: -0.048065 Loss_D_fake 0.034296
[17/5000][525/535][1463] Loss_D: -0.078963 Loss_G: 0.028901 Loss_D_real: -0.032248 Loss_D_fake 0.046715
[17/5000][530/535][1464] Loss_D: -0.080057 Loss_G: 0.034666 Loss_D_real: -0.038427 Loss_D_fake 0.041629
[17/5000][535/535][1465] Loss_D: -0.077396 Loss_G: 0.048370 Loss_D_real: -0.042161 Loss_D_fake 0.035234
[18/5000][5/535][1466] Loss_D: -0.079474 Loss_G: 0.012582 Loss_D_real: -0.022891 Loss_D_fake 0.056583
[18/5000][10/535][1467] Loss_D: -0.076279 Loss_G: 0.060657 Loss_D_real: -0.063927 Loss_D_fake 0.012352
[18/5000][15/535][1468] Loss_D: -0.077919 Loss_G: 0.032922 Loss_D_real: -0.032239 Loss_D_fake 0.045680
[18/5000][20/535][1469] Loss_D: -0.083121 Loss_G: 0.042373 Loss_D_real: -0.044522 Loss_D_fake 0.038599
[18/5000][25/535][1470] Loss_D: -0.082953 Loss_G: 0.028939 Loss_D_real: -0.032782 Loss_D_fake 0.050170
[18/5000][30/535][1471] Loss_D: -0.080898 Loss_G: 0.050650 Loss_D_real: -0.052831 Loss_D_fake 0.028067
[18/5000][35/535][1472] Loss_D: -0.082255 Loss_G: 0.035656 Loss_D_real: -0.039881 Loss_D_fake 0.042374
[18/5000][40/535][1473] Loss_D: -0.080400 Loss_G: 0.037759 Loss_D_real: -0.041192 Loss_D_fake 0.039208
[18/5000][45/535][1474] Loss_D: -0.078213 Loss_G: 0.047028 Loss_D_real: -0.044917 Loss_D_fake 0.033296
[18/5000][50/535][1475] Loss_D: -0.083438 Loss_G: 0.048160 Loss_D_real: -0.047985 Loss_D_fake 0.035453
[18/5000][55/535][1476] Loss_D: -0.081578 Loss_G: 0.025934 Loss_D_real: -0.032583 Loss_D_fake 0.048995
[18/5000][60/535][1477] Loss_D: -0.078185 Loss_G: 0.060652 Loss_D_real: -0.056677 Loss_D_fake 0.021508
[18/5000][65/535][1478] Loss_D: -0.081257 Loss_G: 0.015684 Loss_D_real: -0.027335 Loss_D_fake 0.053922
[18/5000][70/535][1479] Loss_D: -0.077394 Loss_G: 0.062822 Loss_D_real: -0.062372 Loss_D_fake 0.015021
[18/5000][75/535][1480] Loss_D: -0.079542 Loss_G: 0.014641 Loss_D_real: -0.023485 Loss_D_fake 0.056057
[18/5000][80/535][1481] Loss_D: -0.078179 Loss_G: 0.058872 Loss_D_real: -0.056693 Loss_D_fake 0.021486
[18/5000][85/535][1482] Loss_D: -0.081221 Loss_G: 0.034306 Loss_D_real: -0.033520 Loss_D_fake 0.047701
[18/5000][90/535][1483] Loss_D: -0.078338 Loss_G: 0.053125 Loss_D_real: -0.050277 Loss_D_fake 0.028061
[18/5000][95/535][1484] Loss_D: -0.079789 Loss_G: 0.034499 Loss_D_real: -0.036102 Loss_D_fake 0.043688
[18/5000][100/535][1485] Loss_D: -0.081744 Loss_G: 0.039468 Loss_D_real: -0.043853 Loss_D_fake 0.037891
[18/5000][105/535][1486] Loss_D: -0.079701 Loss_G: 0.045313 Loss_D_real: -0.043590 Loss_D_fake 0.036111
[18/5000][110/535][1487] Loss_D: -0.081189 Loss_G: 0.035288 Loss_D_real: -0.039760 Loss_D_fake 0.041429
[18/5000][115/535][1488] Loss_D: -0.079340 Loss_G: 0.035208 Loss_D_real: -0.039674 Loss_D_fake 0.039666
[18/5000][120/535][1489] Loss_D: -0.081250 Loss_G: 0.047555 Loss_D_real: -0.047472 Loss_D_fake 0.033778
[18/5000][125/535][1490] Loss_D: -0.082313 Loss_G: 0.042663 Loss_D_real: -0.042952 Loss_D_fake 0.039361
[18/5000][130/535][1491] Loss_D: -0.083632 Loss_G: 0.043040 Loss_D_real: -0.042852 Loss_D_fake 0.040779
[18/5000][135/535][1492] Loss_D: -0.080577 Loss_G: 0.035451 Loss_D_real: -0.039092 Loss_D_fake 0.041485
[18/5000][140/535][1493] Loss_D: -0.079542 Loss_G: 0.064929 Loss_D_real: -0.059648 Loss_D_fake 0.019894
[18/5000][145/535][1494] Loss_D: -0.077225 Loss_G: 0.013022 Loss_D_real: -0.018142 Loss_D_fake 0.059083
[18/5000][150/535][1495] Loss_D: -0.079551 Loss_G: 0.058725 Loss_D_real: -0.056989 Loss_D_fake 0.022561
[18/5000][155/535][1496] Loss_D: -0.077897 Loss_G: 0.016919 Loss_D_real: -0.022360 Loss_D_fake 0.055537
[18/5000][160/535][1497] Loss_D: -0.080450 Loss_G: 0.053129 Loss_D_real: -0.056853 Loss_D_fake 0.023597
[18/5000][165/535][1498] Loss_D: -0.082072 Loss_G: 0.027414 Loss_D_real: -0.036805 Loss_D_fake 0.045267
[18/5000][170/535][1499] Loss_D: -0.077711 Loss_G: 0.043306 Loss_D_real: -0.047335 Loss_D_fake 0.030375
[18/5000][175/535][1500] Loss_D: -0.075043 Loss_G: 0.051597 Loss_D_real: -0.050562 Loss_D_fake 0.024481
[18/5000][275/535][1501] Loss_D: -0.080476 Loss_G: 0.018962 Loss_D_real: -0.020441 Loss_D_fake 0.060035
[18/5000][280/535][1502] Loss_D: -0.082216 Loss_G: 0.056135 Loss_D_real: -0.055595 Loss_D_fake 0.026622
[18/5000][285/535][1503] Loss_D: -0.081692 Loss_G: 0.032557 Loss_D_real: -0.034368 Loss_D_fake 0.047324
[18/5000][290/535][1504] Loss_D: -0.082069 Loss_G: 0.044630 Loss_D_real: -0.042617 Loss_D_fake 0.039452
[18/5000][295/535][1505] Loss_D: -0.080858 Loss_G: 0.032954 Loss_D_real: -0.034389 Loss_D_fake 0.046470
[18/5000][300/535][1506] Loss_D: -0.080212 Loss_G: 0.046105 Loss_D_real: -0.047348 Loss_D_fake 0.032864
[18/5000][305/535][1507] Loss_D: -0.078257 Loss_G: 0.044519 Loss_D_real: -0.047303 Loss_D_fake 0.030954
[18/5000][310/535][1508] Loss_D: -0.080586 Loss_G: 0.026895 Loss_D_real: -0.033895 Loss_D_fake 0.046690
[18/5000][315/535][1509] Loss_D: -0.081021 Loss_G: 0.052660 Loss_D_real: -0.059169 Loss_D_fake 0.021851
[18/5000][320/535][1510] Loss_D: -0.081272 Loss_G: 0.021258 Loss_D_real: -0.031125 Loss_D_fake 0.050147
[18/5000][325/535][1511] Loss_D: -0.083680 Loss_G: 0.043944 Loss_D_real: -0.048619 Loss_D_fake 0.035060
[18/5000][330/535][1512] Loss_D: -0.080135 Loss_G: 0.051436 Loss_D_real: -0.049038 Loss_D_fake 0.031097
[18/5000][335/535][1513] Loss_D: -0.075816 Loss_G: 0.027924 Loss_D_real: -0.028499 Loss_D_fake 0.047317
[18/5000][340/535][1514] Loss_D: -0.080283 Loss_G: 0.046638 Loss_D_real: -0.048541 Loss_D_fake 0.031742
[18/5000][345/535][1515] Loss_D: -0.080742 Loss_G: 0.030022 Loss_D_real: -0.033309 Loss_D_fake 0.047433
[18/5000][350/535][1516] Loss_D: -0.080672 Loss_G: 0.051805 Loss_D_real: -0.054178 Loss_D_fake 0.026494
[18/5000][355/535][1517] Loss_D: -0.078393 Loss_G: 0.014821 Loss_D_real: -0.023976 Loss_D_fake 0.054418
[18/5000][360/535][1518] Loss_D: -0.083442 Loss_G: 0.061800 Loss_D_real: -0.062448 Loss_D_fake 0.020994
[18/5000][365/535][1519] Loss_D: -0.082288 Loss_G: 0.024734 Loss_D_real: -0.026278 Loss_D_fake 0.056010
[18/5000][370/535][1520] Loss_D: -0.084811 Loss_G: 0.040364 Loss_D_real: -0.046416 Loss_D_fake 0.038396
[18/5000][375/535][1521] Loss_D: -0.083000 Loss_G: 0.058502 Loss_D_real: -0.055452 Loss_D_fake 0.027548
[18/5000][380/535][1522] Loss_D: -0.082865 Loss_G: 0.026578 Loss_D_real: -0.031694 Loss_D_fake 0.051170
[18/5000][385/535][1523] Loss_D: -0.083994 Loss_G: 0.036435 Loss_D_real: -0.039636 Loss_D_fake 0.044358
[18/5000][390/535][1524] Loss_D: -0.083459 Loss_G: 0.057539 Loss_D_real: -0.054212 Loss_D_fake 0.029247
[18/5000][395/535][1525] Loss_D: -0.082410 Loss_G: 0.021906 Loss_D_real: -0.029108 Loss_D_fake 0.053302
[18/5000][400/535][1526] Loss_D: -0.082323 Loss_G: 0.051243 Loss_D_real: -0.048590 Loss_D_fake 0.033733
[18/5000][405/535][1527] Loss_D: -0.083705 Loss_G: 0.045791 Loss_D_real: -0.041239 Loss_D_fake 0.042466
[18/5000][410/535][1528] Loss_D: -0.084669 Loss_G: 0.028542 Loss_D_real: -0.037276 Loss_D_fake 0.047393
[18/5000][415/535][1529] Loss_D: -0.083780 Loss_G: 0.067280 Loss_D_real: -0.060759 Loss_D_fake 0.023021
[18/5000][420/535][1530] Loss_D: -0.080247 Loss_G: 0.009448 Loss_D_real: -0.016900 Loss_D_fake 0.063346
[18/5000][425/535][1531] Loss_D: -0.078646 Loss_G: 0.057665 Loss_D_real: -0.060127 Loss_D_fake 0.018518
[18/5000][430/535][1532] Loss_D: -0.083655 Loss_G: 0.028766 Loss_D_real: -0.037397 Loss_D_fake 0.046258
[18/5000][435/535][1533] Loss_D: -0.077252 Loss_G: 0.048604 Loss_D_real: -0.048562 Loss_D_fake 0.028690
[18/5000][440/535][1534] Loss_D: -0.080177 Loss_G: 0.022836 Loss_D_real: -0.033214 Loss_D_fake 0.046963
[18/5000][445/535][1535] Loss_D: -0.082807 Loss_G: 0.048611 Loss_D_real: -0.050720 Loss_D_fake 0.032087
[18/5000][450/535][1536] Loss_D: -0.081930 Loss_G: 0.032795 Loss_D_real: -0.036906 Loss_D_fake 0.045024
[18/5000][455/535][1537] Loss_D: -0.081949 Loss_G: 0.034808 Loss_D_real: -0.039927 Loss_D_fake 0.042022
[18/5000][460/535][1538] Loss_D: -0.083794 Loss_G: 0.054353 Loss_D_real: -0.053131 Loss_D_fake 0.030662
[18/5000][465/535][1539] Loss_D: -0.083148 Loss_G: 0.033533 Loss_D_real: -0.040566 Loss_D_fake 0.042582
[18/5000][470/535][1540] Loss_D: -0.082056 Loss_G: 0.038651 Loss_D_real: -0.043365 Loss_D_fake 0.038691
[18/5000][475/535][1541] Loss_D: -0.081029 Loss_G: 0.053130 Loss_D_real: -0.054236 Loss_D_fake 0.026794
[18/5000][480/535][1542] Loss_D: -0.080151 Loss_G: 0.017484 Loss_D_real: -0.029616 Loss_D_fake 0.050535
[18/5000][485/535][1543] Loss_D: -0.079916 Loss_G: 0.052578 Loss_D_real: -0.049827 Loss_D_fake 0.030089
[18/5000][490/535][1544] Loss_D: -0.080072 Loss_G: 0.024056 Loss_D_real: -0.029916 Loss_D_fake 0.050156
[18/5000][495/535][1545] Loss_D: -0.079512 Loss_G: 0.047267 Loss_D_real: -0.049832 Loss_D_fake 0.029680
[18/5000][500/535][1546] Loss_D: -0.077691 Loss_G: 0.037357 Loss_D_real: -0.038843 Loss_D_fake 0.038848
[18/5000][505/535][1547] Loss_D: -0.079641 Loss_G: 0.029522 Loss_D_real: -0.037634 Loss_D_fake 0.042007
[18/5000][510/535][1548] Loss_D: -0.080329 Loss_G: 0.049973 Loss_D_real: -0.048229 Loss_D_fake 0.032100
[18/5000][515/535][1549] Loss_D: -0.079416 Loss_G: 0.010842 Loss_D_real: -0.021719 Loss_D_fake 0.057697
[18/5000][520/535][1550] Loss_D: -0.077322 Loss_G: 0.066412 Loss_D_real: -0.063612 Loss_D_fake 0.013710
[18/5000][525/535][1551] Loss_D: -0.078034 Loss_G: 0.015563 Loss_D_real: -0.022374 Loss_D_fake 0.055659
[18/5000][530/535][1552] Loss_D: -0.082697 Loss_G: 0.046676 Loss_D_real: -0.049127 Loss_D_fake 0.033571
[18/5000][535/535][1553] Loss_D: -0.072144 Loss_G: 0.054891 Loss_D_real: -0.046216 Loss_D_fake 0.025928
[19/5000][5/535][1554] Loss_D: -0.082529 Loss_G: 0.036472 Loss_D_real: -0.035303 Loss_D_fake 0.047226
[19/5000][10/535][1555] Loss_D: -0.081925 Loss_G: 0.052147 Loss_D_real: -0.051402 Loss_D_fake 0.030522
[19/5000][15/535][1556] Loss_D: -0.083549 Loss_G: 0.041773 Loss_D_real: -0.041716 Loss_D_fake 0.041833
[19/5000][20/535][1557] Loss_D: -0.083200 Loss_G: 0.041535 Loss_D_real: -0.041904 Loss_D_fake 0.041295
[19/5000][25/535][1558] Loss_D: -0.085409 Loss_G: 0.047079 Loss_D_real: -0.050164 Loss_D_fake 0.035245
[19/5000][30/535][1559] Loss_D: -0.084119 Loss_G: 0.042107 Loss_D_real: -0.040938 Loss_D_fake 0.043181
[19/5000][35/535][1560] Loss_D: -0.084369 Loss_G: 0.054315 Loss_D_real: -0.053002 Loss_D_fake 0.031367
[19/5000][40/535][1561] Loss_D: -0.082146 Loss_G: 0.045765 Loss_D_real: -0.045024 Loss_D_fake 0.037123
[19/5000][45/535][1562] Loss_D: -0.081487 Loss_G: 0.031455 Loss_D_real: -0.037505 Loss_D_fake 0.043982
[19/5000][50/535][1563] Loss_D: -0.079720 Loss_G: 0.067764 Loss_D_real: -0.062842 Loss_D_fake 0.016878
[19/5000][55/535][1564] Loss_D: -0.077882 Loss_G: 0.009818 Loss_D_real: -0.015639 Loss_D_fake 0.062243
[19/5000][60/535][1565] Loss_D: -0.079283 Loss_G: 0.054380 Loss_D_real: -0.052677 Loss_D_fake 0.026607
[19/5000][65/535][1566] Loss_D: -0.081653 Loss_G: 0.024235 Loss_D_real: -0.030875 Loss_D_fake 0.050778
[19/5000][70/535][1567] Loss_D: -0.081132 Loss_G: 0.044885 Loss_D_real: -0.047224 Loss_D_fake 0.033907
[19/5000][75/535][1568] Loss_D: -0.078039 Loss_G: 0.045515 Loss_D_real: -0.042938 Loss_D_fake 0.035101
[19/5000][80/535][1569] Loss_D: -0.082064 Loss_G: 0.046510 Loss_D_real: -0.046504 Loss_D_fake 0.035560
[19/5000][85/535][1570] Loss_D: -0.084309 Loss_G: 0.045760 Loss_D_real: -0.041908 Loss_D_fake 0.042401
[19/5000][90/535][1571] Loss_D: -0.083290 Loss_G: 0.043583 Loss_D_real: -0.042856 Loss_D_fake 0.040434
[19/5000][95/535][1572] Loss_D: -0.080524 Loss_G: 0.050992 Loss_D_real: -0.047564 Loss_D_fake 0.032960
[19/5000][100/535][1573] Loss_D: -0.080678 Loss_G: 0.026323 Loss_D_real: -0.032410 Loss_D_fake 0.048269
[19/5000][105/535][1574] Loss_D: -0.080522 Loss_G: 0.061158 Loss_D_real: -0.059783 Loss_D_fake 0.020739
[19/5000][110/535][1575] Loss_D: -0.078891 Loss_G: 0.012460 Loss_D_real: -0.018710 Loss_D_fake 0.060182
[19/5000][115/535][1576] Loss_D: -0.080160 Loss_G: 0.058619 Loss_D_real: -0.060025 Loss_D_fake 0.020135
[19/5000][120/535][1577] Loss_D: -0.076607 Loss_G: 0.032427 Loss_D_real: -0.027364 Loss_D_fake 0.049243
[19/5000][125/535][1578] Loss_D: -0.081073 Loss_G: 0.040517 Loss_D_real: -0.043986 Loss_D_fake 0.037087
[19/5000][130/535][1579] Loss_D: -0.081102 Loss_G: 0.029743 Loss_D_real: -0.033920 Loss_D_fake 0.047182
[19/5000][135/535][1580] Loss_D: -0.083582 Loss_G: 0.050467 Loss_D_real: -0.049954 Loss_D_fake 0.033628
[19/5000][140/535][1581] Loss_D: -0.082191 Loss_G: 0.028569 Loss_D_real: -0.036485 Loss_D_fake 0.045705
[19/5000][145/535][1582] Loss_D: -0.078438 Loss_G: 0.058862 Loss_D_real: -0.056673 Loss_D_fake 0.021765
[19/5000][150/535][1583] Loss_D: -0.079574 Loss_G: 0.031431 Loss_D_real: -0.033708 Loss_D_fake 0.045866
[19/5000][155/535][1584] Loss_D: -0.081483 Loss_G: 0.034901 Loss_D_real: -0.039489 Loss_D_fake 0.041994
[19/5000][160/535][1585] Loss_D: -0.080964 Loss_G: 0.044521 Loss_D_real: -0.044647 Loss_D_fake 0.036317
[19/5000][165/535][1586] Loss_D: -0.082977 Loss_G: 0.025717 Loss_D_real: -0.033472 Loss_D_fake 0.049505
[19/5000][170/535][1587] Loss_D: -0.078438 Loss_G: 0.063954 Loss_D_real: -0.063955 Loss_D_fake 0.014483
[19/5000][175/535][1588] Loss_D: -0.081251 Loss_G: 0.012402 Loss_D_real: -0.022807 Loss_D_fake 0.058443
[19/5000][180/535][1589] Loss_D: -0.081663 Loss_G: 0.053597 Loss_D_real: -0.057624 Loss_D_fake 0.024038
[19/5000][185/535][1590] Loss_D: -0.078387 Loss_G: 0.027970 Loss_D_real: -0.031878 Loss_D_fake 0.046510
[19/5000][190/535][1591] Loss_D: -0.082827 Loss_G: 0.044119 Loss_D_real: -0.047898 Loss_D_fake 0.034929
[19/5000][195/535][1592] Loss_D: -0.080984 Loss_G: 0.031204 Loss_D_real: -0.033525 Loss_D_fake 0.047459
[19/5000][200/535][1593] Loss_D: -0.079559 Loss_G: 0.058381 Loss_D_real: -0.056310 Loss_D_fake 0.023248
[19/5000][205/535][1594] Loss_D: -0.079521 Loss_G: 0.030485 Loss_D_real: -0.032064 Loss_D_fake 0.047458
[19/5000][210/535][1595] Loss_D: -0.081306 Loss_G: 0.052632 Loss_D_real: -0.051492 Loss_D_fake 0.029814
[19/5000][215/535][1596] Loss_D: -0.080973 Loss_G: 0.033073 Loss_D_real: -0.036937 Loss_D_fake 0.044036
[19/5000][220/535][1597] Loss_D: -0.083735 Loss_G: 0.040443 Loss_D_real: -0.043581 Loss_D_fake 0.040155
[19/5000][225/535][1598] Loss_D: -0.083262 Loss_G: 0.025734 Loss_D_real: -0.032711 Loss_D_fake 0.050551
[19/5000][230/535][1599] Loss_D: -0.081472 Loss_G: 0.068267 Loss_D_real: -0.064513 Loss_D_fake 0.016959
[19/5000][235/535][1600] Loss_D: -0.077010 Loss_G: 0.012006 Loss_D_real: -0.012206 Loss_D_fake 0.064804
[19/5000][240/535][1601] Loss_D: -0.077324 Loss_G: 0.059000 Loss_D_real: -0.061005 Loss_D_fake 0.016319
[19/5000][245/535][1602] Loss_D: -0.078489 Loss_G: 0.021166 Loss_D_real: -0.026756 Loss_D_fake 0.051733
[19/5000][250/535][1603] Loss_D: -0.080161 Loss_G: 0.043743 Loss_D_real: -0.047366 Loss_D_fake 0.032795
[19/5000][255/535][1604] Loss_D: -0.081836 Loss_G: 0.046893 Loss_D_real: -0.047740 Loss_D_fake 0.034096
[19/5000][260/535][1605] Loss_D: -0.080144 Loss_G: 0.026701 Loss_D_real: -0.032623 Loss_D_fake 0.047522
[19/5000][265/535][1606] Loss_D: -0.079891 Loss_G: 0.042187 Loss_D_real: -0.044646 Loss_D_fake 0.035245
[19/5000][270/535][1607] Loss_D: -0.079093 Loss_G: 0.030047 Loss_D_real: -0.029470 Loss_D_fake 0.049623
[19/5000][275/535][1608] Loss_D: -0.079262 Loss_G: 0.040356 Loss_D_real: -0.039262 Loss_D_fake 0.040000
[19/5000][280/535][1609] Loss_D: -0.083222 Loss_G: 0.052010 Loss_D_real: -0.048023 Loss_D_fake 0.035199
[19/5000][285/535][1610] Loss_D: -0.079627 Loss_G: 0.019147 Loss_D_real: -0.028125 Loss_D_fake 0.051502
[19/5000][290/535][1611] Loss_D: -0.078345 Loss_G: 0.063872 Loss_D_real: -0.063243 Loss_D_fake 0.015101
[19/5000][295/535][1612] Loss_D: -0.079065 Loss_G: 0.011958 Loss_D_real: -0.021759 Loss_D_fake 0.057305
[19/5000][300/535][1613] Loss_D: -0.075142 Loss_G: 0.052018 Loss_D_real: -0.053881 Loss_D_fake 0.021261
[19/5000][305/535][1614] Loss_D: -0.082582 Loss_G: 0.038429 Loss_D_real: -0.041990 Loss_D_fake 0.040592
[19/5000][310/535][1615] Loss_D: -0.082548 Loss_G: 0.048518 Loss_D_real: -0.049793 Loss_D_fake 0.032755
[19/5000][315/535][1616] Loss_D: -0.079677 Loss_G: 0.020454 Loss_D_real: -0.024257 Loss_D_fake 0.055420
[19/5000][320/535][1617] Loss_D: -0.081501 Loss_G: 0.040100 Loss_D_real: -0.046841 Loss_D_fake 0.034660
[19/5000][325/535][1618] Loss_D: -0.078109 Loss_G: 0.050778 Loss_D_real: -0.047731 Loss_D_fake 0.030379
[19/5000][330/535][1619] Loss_D: -0.081129 Loss_G: 0.030641 Loss_D_real: -0.033578 Loss_D_fake 0.047551
[19/5000][335/535][1620] Loss_D: -0.082910 Loss_G: 0.051837 Loss_D_real: -0.053055 Loss_D_fake 0.029856
[19/5000][340/535][1621] Loss_D: -0.081276 Loss_G: 0.031443 Loss_D_real: -0.036892 Loss_D_fake 0.044383
[19/5000][345/535][1622] Loss_D: -0.080489 Loss_G: 0.042949 Loss_D_real: -0.042685 Loss_D_fake 0.037804
[19/5000][350/535][1623] Loss_D: -0.078931 Loss_G: 0.061345 Loss_D_real: -0.057371 Loss_D_fake 0.021560
[19/5000][355/535][1624] Loss_D: -0.078276 Loss_G: 0.011877 Loss_D_real: -0.022007 Loss_D_fake 0.056269
[19/5000][360/535][1625] Loss_D: -0.075388 Loss_G: 0.062274 Loss_D_real: -0.060474 Loss_D_fake 0.014913
[19/5000][365/535][1626] Loss_D: -0.081984 Loss_G: 0.022561 Loss_D_real: -0.027836 Loss_D_fake 0.054148
[19/5000][370/535][1627] Loss_D: -0.077112 Loss_G: 0.049532 Loss_D_real: -0.049589 Loss_D_fake 0.027522
[19/5000][375/535][1628] Loss_D: -0.080915 Loss_G: 0.036557 Loss_D_real: -0.039434 Loss_D_fake 0.041481
[19/5000][380/535][1629] Loss_D: -0.077009 Loss_G: 0.025800 Loss_D_real: -0.035216 Loss_D_fake 0.041793
[19/5000][385/535][1630] Loss_D: -0.077980 Loss_G: 0.054925 Loss_D_real: -0.057383 Loss_D_fake 0.020596
[19/5000][390/535][1631] Loss_D: -0.080089 Loss_G: 0.015849 Loss_D_real: -0.027422 Loss_D_fake 0.052667
[19/5000][395/535][1632] Loss_D: -0.079698 Loss_G: 0.052864 Loss_D_real: -0.053357 Loss_D_fake 0.026341
[19/5000][400/535][1633] Loss_D: -0.083316 Loss_G: 0.034130 Loss_D_real: -0.042059 Loss_D_fake 0.041257
[19/5000][405/535][1634] Loss_D: -0.083107 Loss_G: 0.045033 Loss_D_real: -0.045416 Loss_D_fake 0.037691
[19/5000][410/535][1635] Loss_D: -0.079339 Loss_G: 0.033968 Loss_D_real: -0.037052 Loss_D_fake 0.042286
[19/5000][415/535][1636] Loss_D: -0.083545 Loss_G: 0.047120 Loss_D_real: -0.048006 Loss_D_fake 0.035539
[19/5000][420/535][1637] Loss_D: -0.081640 Loss_G: 0.040530 Loss_D_real: -0.040373 Loss_D_fake 0.041266
[19/5000][425/535][1638] Loss_D: -0.078497 Loss_G: 0.008708 Loss_D_real: -0.022166 Loss_D_fake 0.056331
[19/5000][430/535][1639] Loss_D: -0.074516 Loss_G: 0.063311 Loss_D_real: -0.065450 Loss_D_fake 0.009065
[19/5000][435/535][1640] Loss_D: -0.079213 Loss_G: 0.023759 Loss_D_real: -0.027458 Loss_D_fake 0.051756
[19/5000][440/535][1641] Loss_D: -0.077068 Loss_G: 0.045810 Loss_D_real: -0.049071 Loss_D_fake 0.027997
[19/5000][445/535][1642] Loss_D: -0.080276 Loss_G: 0.046059 Loss_D_real: -0.042406 Loss_D_fake 0.037869
[19/5000][450/535][1643] Loss_D: -0.082872 Loss_G: 0.036857 Loss_D_real: -0.042470 Loss_D_fake 0.040402
[19/5000][455/535][1644] Loss_D: -0.081686 Loss_G: 0.045359 Loss_D_real: -0.043676 Loss_D_fake 0.038010
[19/5000][460/535][1645] Loss_D: -0.083281 Loss_G: 0.054308 Loss_D_real: -0.053554 Loss_D_fake 0.029727
[19/5000][465/535][1646] Loss_D: -0.078913 Loss_G: 0.013233 Loss_D_real: -0.022933 Loss_D_fake 0.055979
[19/5000][470/535][1647] Loss_D: -0.077921 Loss_G: 0.060520 Loss_D_real: -0.060016 Loss_D_fake 0.017905
[19/5000][475/535][1648] Loss_D: -0.083241 Loss_G: 0.032289 Loss_D_real: -0.041538 Loss_D_fake 0.041703
[19/5000][480/535][1649] Loss_D: -0.080632 Loss_G: 0.039131 Loss_D_real: -0.043967 Loss_D_fake 0.036665
[19/5000][485/535][1650] Loss_D: -0.079697 Loss_G: 0.047070 Loss_D_real: -0.048568 Loss_D_fake 0.031128
[19/5000][490/535][1651] Loss_D: -0.083975 Loss_G: 0.030047 Loss_D_real: -0.038908 Loss_D_fake 0.045067
[19/5000][495/535][1652] Loss_D: -0.083863 Loss_G: 0.059523 Loss_D_real: -0.058205 Loss_D_fake 0.025658
[19/5000][500/535][1653] Loss_D: -0.081470 Loss_G: 0.031765 Loss_D_real: -0.036327 Loss_D_fake 0.045143
[19/5000][505/535][1654] Loss_D: -0.080874 Loss_G: 0.067394 Loss_D_real: -0.066026 Loss_D_fake 0.014848
[19/5000][510/535][1655] Loss_D: -0.078238 Loss_G: 0.016068 Loss_D_real: -0.021679 Loss_D_fake 0.056559
[19/5000][515/535][1656] Loss_D: -0.079449 Loss_G: 0.046847 Loss_D_real: -0.048815 Loss_D_fake 0.030634
[19/5000][520/535][1657] Loss_D: -0.078290 Loss_G: 0.048309 Loss_D_real: -0.043655 Loss_D_fake 0.034635
[19/5000][525/535][1658] Loss_D: -0.080743 Loss_G: 0.026970 Loss_D_real: -0.036987 Loss_D_fake 0.043756
[19/5000][530/535][1659] Loss_D: -0.078052 Loss_G: 0.051623 Loss_D_real: -0.050031 Loss_D_fake 0.028021
[19/5000][535/535][1660] Loss_D: -0.076517 Loss_G: 0.023029 Loss_D_real: -0.027317 Loss_D_fake 0.049200
[20/5000][5/535][1661] Loss_D: -0.080600 Loss_G: 0.046373 Loss_D_real: -0.046733 Loss_D_fake 0.033867
[20/5000][10/535][1662] Loss_D: -0.080870 Loss_G: 0.030683 Loss_D_real: -0.035995 Loss_D_fake 0.044875
[20/5000][15/535][1663] Loss_D: -0.076913 Loss_G: 0.052308 Loss_D_real: -0.050756 Loss_D_fake 0.026157
[20/5000][20/535][1664] Loss_D: -0.079755 Loss_G: 0.026696 Loss_D_real: -0.033952 Loss_D_fake 0.045804
[20/5000][25/535][1665] Loss_D: -0.078176 Loss_G: 0.024939 Loss_D_real: -0.033763 Loss_D_fake 0.044413
[20/5000][30/535][1666] Loss_D: -0.076339 Loss_G: 0.060486 Loss_D_real: -0.060859 Loss_D_fake 0.015480
[20/5000][35/535][1667] Loss_D: -0.080193 Loss_G: 0.025844 Loss_D_real: -0.029943 Loss_D_fake 0.050250
[20/5000][40/535][1668] Loss_D: -0.082305 Loss_G: 0.056658 Loss_D_real: -0.057452 Loss_D_fake 0.024853
[20/5000][45/535][1669] Loss_D: -0.082441 Loss_G: 0.040261 Loss_D_real: -0.039648 Loss_D_fake 0.042793
[20/5000][50/535][1670] Loss_D: -0.080138 Loss_G: 0.056522 Loss_D_real: -0.055206 Loss_D_fake 0.024931
[20/5000][55/535][1671] Loss_D: -0.078729 Loss_G: 0.023020 Loss_D_real: -0.028545 Loss_D_fake 0.050184
[20/5000][60/535][1672] Loss_D: -0.081269 Loss_G: 0.056793 Loss_D_real: -0.058866 Loss_D_fake 0.022402
[20/5000][65/535][1673] Loss_D: -0.081322 Loss_G: 0.027889 Loss_D_real: -0.031062 Loss_D_fake 0.050259
[20/5000][70/535][1674] Loss_D: -0.080646 Loss_G: 0.062768 Loss_D_real: -0.058747 Loss_D_fake 0.021899
[20/5000][75/535][1675] Loss_D: -0.081474 Loss_G: 0.014316 Loss_D_real: -0.026596 Loss_D_fake 0.054877
[20/5000][80/535][1676] Loss_D: -0.075034 Loss_G: 0.058855 Loss_D_real: -0.060399 Loss_D_fake 0.014635
[20/5000][85/535][1677] Loss_D: -0.077581 Loss_G: 0.026037 Loss_D_real: -0.026514 Loss_D_fake 0.051067
[20/5000][90/535][1678] Loss_D: -0.080733 Loss_G: 0.046834 Loss_D_real: -0.051932 Loss_D_fake 0.028801
[20/5000][95/535][1679] Loss_D: -0.076575 Loss_G: 0.034274 Loss_D_real: -0.036431 Loss_D_fake 0.040144
[20/5000][100/535][1680] Loss_D: -0.079417 Loss_G: 0.032930 Loss_D_real: -0.036971 Loss_D_fake 0.042446
[20/5000][105/535][1681] Loss_D: -0.078593 Loss_G: 0.026849 Loss_D_real: -0.034287 Loss_D_fake 0.044305
[20/5000][110/535][1682] Loss_D: -0.076992 Loss_G: 0.035226 Loss_D_real: -0.038164 Loss_D_fake 0.038828
[20/5000][115/535][1683] Loss_D: -0.079537 Loss_G: 0.053058 Loss_D_real: -0.056132 Loss_D_fake 0.023405
[20/5000][120/535][1684] Loss_D: -0.077607 Loss_G: 0.017735 Loss_D_real: -0.027534 Loss_D_fake 0.050074
[20/5000][125/535][1685] Loss_D: -0.078319 Loss_G: 0.058842 Loss_D_real: -0.058950 Loss_D_fake 0.019369
[20/5000][130/535][1686] Loss_D: -0.077985 Loss_G: 0.008938 Loss_D_real: -0.018863 Loss_D_fake 0.059122
[20/5000][135/535][1687] Loss_D: -0.079569 Loss_G: 0.055576 Loss_D_real: -0.058081 Loss_D_fake 0.021488
[20/5000][140/535][1688] Loss_D: -0.079193 Loss_G: 0.024840 Loss_D_real: -0.027569 Loss_D_fake 0.051625
[20/5000][145/535][1689] Loss_D: -0.076625 Loss_G: 0.035388 Loss_D_real: -0.039534 Loss_D_fake 0.037091
[20/5000][150/535][1690] Loss_D: -0.079471 Loss_G: 0.041999 Loss_D_real: -0.043021 Loss_D_fake 0.036450
[20/5000][155/535][1691] Loss_D: -0.080384 Loss_G: 0.027875 Loss_D_real: -0.034740 Loss_D_fake 0.045644
[20/5000][160/535][1692] Loss_D: -0.079040 Loss_G: 0.051141 Loss_D_real: -0.052064 Loss_D_fake 0.026976
[20/5000][165/535][1693] Loss_D: -0.081580 Loss_G: 0.020209 Loss_D_real: -0.028233 Loss_D_fake 0.053346
[20/5000][170/535][1694] Loss_D: -0.080382 Loss_G: 0.053915 Loss_D_real: -0.051137 Loss_D_fake 0.029245
[20/5000][175/535][1695] Loss_D: -0.080730 Loss_G: 0.033647 Loss_D_real: -0.037593 Loss_D_fake 0.043137
[20/5000][180/535][1696] Loss_D: -0.081350 Loss_G: 0.048630 Loss_D_real: -0.049979 Loss_D_fake 0.031371
[20/5000][185/535][1697] Loss_D: -0.080304 Loss_G: 0.018391 Loss_D_real: -0.026916 Loss_D_fake 0.053388
[20/5000][190/535][1698] Loss_D: -0.078395 Loss_G: 0.065702 Loss_D_real: -0.063342 Loss_D_fake 0.015053
[20/5000][195/535][1699] Loss_D: -0.078343 Loss_G: 0.006696 Loss_D_real: -0.016466 Loss_D_fake 0.061877
[20/5000][200/535][1700] Loss_D: -0.078624 Loss_G: 0.057532 Loss_D_real: -0.058652 Loss_D_fake 0.019972
[20/5000][205/535][1701] Loss_D: -0.080106 Loss_G: 0.028489 Loss_D_real: -0.031906 Loss_D_fake 0.048200
[20/5000][210/535][1702] Loss_D: -0.074951 Loss_G: 0.036997 Loss_D_real: -0.041019 Loss_D_fake 0.033932
[20/5000][215/535][1703] Loss_D: -0.079003 Loss_G: 0.033669 Loss_D_real: -0.040704 Loss_D_fake 0.038300
[20/5000][220/535][1704] Loss_D: -0.075472 Loss_G: 0.035067 Loss_D_real: -0.037574 Loss_D_fake 0.037898
[20/5000][225/535][1705] Loss_D: -0.077866 Loss_G: 0.025762 Loss_D_real: -0.036491 Loss_D_fake 0.041375
[20/5000][230/535][1706] Loss_D: -0.076162 Loss_G: 0.039794 Loss_D_real: -0.039945 Loss_D_fake 0.036217
[20/5000][235/535][1707] Loss_D: -0.080515 Loss_G: 0.028298 Loss_D_real: -0.036002 Loss_D_fake 0.044513
[20/5000][240/535][1708] Loss_D: -0.077309 Loss_G: 0.026681 Loss_D_real: -0.035917 Loss_D_fake 0.041393
[20/5000][245/535][1709] Loss_D: -0.077274 Loss_G: 0.063501 Loss_D_real: -0.061196 Loss_D_fake 0.016077
[20/5000][250/535][1710] Loss_D: -0.076805 Loss_G: 0.023127 Loss_D_real: -0.025736 Loss_D_fake 0.051069
[20/5000][255/535][1711] Loss_D: -0.079479 Loss_G: 0.065019 Loss_D_real: -0.062972 Loss_D_fake 0.016507
[20/5000][260/535][1712] Loss_D: -0.079918 Loss_G: 0.026914 Loss_D_real: -0.034285 Loss_D_fake 0.045633
[20/5000][265/535][1713] Loss_D: -0.080419 Loss_G: 0.054387 Loss_D_real: -0.051842 Loss_D_fake 0.028577
[20/5000][270/535][1714] Loss_D: -0.081408 Loss_G: 0.014665 Loss_D_real: -0.029713 Loss_D_fake 0.051695
[20/5000][275/535][1715] Loss_D: -0.075551 Loss_G: 0.059416 Loss_D_real: -0.058986 Loss_D_fake 0.016565
[20/5000][280/535][1716] Loss_D: -0.077272 Loss_G: 0.019171 Loss_D_real: -0.020839 Loss_D_fake 0.056433
[20/5000][285/535][1717] Loss_D: -0.076413 Loss_G: 0.057578 Loss_D_real: -0.058288 Loss_D_fake 0.018125
[20/5000][290/535][1718] Loss_D: -0.079222 Loss_G: 0.021818 Loss_D_real: -0.027160 Loss_D_fake 0.052062
[20/5000][295/535][1719] Loss_D: -0.075333 Loss_G: 0.042682 Loss_D_real: -0.047385 Loss_D_fake 0.027948
[20/5000][300/535][1720] Loss_D: -0.077202 Loss_G: 0.047619 Loss_D_real: -0.047568 Loss_D_fake 0.029635
[20/5000][305/535][1721] Loss_D: -0.073792 Loss_G: 0.025103 Loss_D_real: -0.030523 Loss_D_fake 0.043269
[20/5000][310/535][1722] Loss_D: -0.076936 Loss_G: 0.037067 Loss_D_real: -0.043789 Loss_D_fake 0.033147
[20/5000][315/535][1723] Loss_D: -0.077574 Loss_G: 0.033503 Loss_D_real: -0.039877 Loss_D_fake 0.037696
[20/5000][320/535][1724] Loss_D: -0.078014 Loss_G: 0.046606 Loss_D_real: -0.049339 Loss_D_fake 0.028674
[20/5000][325/535][1725] Loss_D: -0.079616 Loss_G: 0.028130 Loss_D_real: -0.029878 Loss_D_fake 0.049738
[20/5000][330/535][1726] Loss_D: -0.075982 Loss_G: 0.033658 Loss_D_real: -0.039244 Loss_D_fake 0.036738
[20/5000][335/535][1727] Loss_D: -0.077133 Loss_G: 0.023074 Loss_D_real: -0.030240 Loss_D_fake 0.046893
[20/5000][340/535][1728] Loss_D: -0.076744 Loss_G: 0.054861 Loss_D_real: -0.054400 Loss_D_fake 0.022343
[20/5000][345/535][1729] Loss_D: -0.077368 Loss_G: 0.032512 Loss_D_real: -0.037039 Loss_D_fake 0.040329
[20/5000][350/535][1730] Loss_D: -0.077746 Loss_G: 0.024220 Loss_D_real: -0.029143 Loss_D_fake 0.048603
[20/5000][355/535][1731] Loss_D: -0.074727 Loss_G: 0.053175 Loss_D_real: -0.051509 Loss_D_fake 0.023217
[20/5000][360/535][1732] Loss_D: -0.076165 Loss_G: 0.010102 Loss_D_real: -0.021599 Loss_D_fake 0.054566
[20/5000][365/535][1733] Loss_D: -0.075830 Loss_G: 0.060406 Loss_D_real: -0.058247 Loss_D_fake 0.017583
[20/5000][370/535][1734] Loss_D: -0.076597 Loss_G: 0.015155 Loss_D_real: -0.021820 Loss_D_fake 0.054777
[20/5000][375/535][1735] Loss_D: -0.076133 Loss_G: 0.057894 Loss_D_real: -0.059745 Loss_D_fake 0.016388
[20/5000][380/535][1736] Loss_D: -0.078183 Loss_G: 0.026387 Loss_D_real: -0.029282 Loss_D_fake 0.048902
[20/5000][385/535][1737] Loss_D: -0.078308 Loss_G: 0.056379 Loss_D_real: -0.054841 Loss_D_fake 0.023468
[20/5000][390/535][1738] Loss_D: -0.078087 Loss_G: 0.023669 Loss_D_real: -0.032286 Loss_D_fake 0.045801
[20/5000][395/535][1739] Loss_D: -0.078155 Loss_G: 0.044200 Loss_D_real: -0.047086 Loss_D_fake 0.031069
[20/5000][400/535][1740] Loss_D: -0.074496 Loss_G: 0.062424 Loss_D_real: -0.059132 Loss_D_fake 0.015363
[20/5000][405/535][1741] Loss_D: -0.078469 Loss_G: 0.015734 Loss_D_real: -0.025912 Loss_D_fake 0.052557
[20/5000][410/535][1742] Loss_D: -0.076089 Loss_G: 0.063489 Loss_D_real: -0.063113 Loss_D_fake 0.012977
[20/5000][415/535][1743] Loss_D: -0.077588 Loss_G: 0.031062 Loss_D_real: -0.027235 Loss_D_fake 0.050354
[20/5000][420/535][1744] Loss_D: -0.082986 Loss_G: 0.040635 Loss_D_real: -0.043493 Loss_D_fake 0.039493
[20/5000][425/535][1745] Loss_D: -0.082754 Loss_G: 0.057997 Loss_D_real: -0.056932 Loss_D_fake 0.025822
[20/5000][430/535][1746] Loss_D: -0.082712 Loss_G: 0.031299 Loss_D_real: -0.032178 Loss_D_fake 0.050534
[20/5000][435/535][1747] Loss_D: -0.081762 Loss_G: 0.053008 Loss_D_real: -0.048737 Loss_D_fake 0.033025
[20/5000][440/535][1748] Loss_D: -0.080896 Loss_G: 0.044448 Loss_D_real: -0.043554 Loss_D_fake 0.037342
[20/5000][445/535][1749] Loss_D: -0.080598 Loss_G: 0.023508 Loss_D_real: -0.028786 Loss_D_fake 0.051812
[20/5000][450/535][1750] Loss_D: -0.075436 Loss_G: 0.059287 Loss_D_real: -0.060031 Loss_D_fake 0.015405
[20/5000][455/535][1751] Loss_D: -0.078473 Loss_G: 0.029315 Loss_D_real: -0.029831 Loss_D_fake 0.048642
[20/5000][460/535][1752] Loss_D: -0.082255 Loss_G: 0.038948 Loss_D_real: -0.046530 Loss_D_fake 0.035725
[20/5000][465/535][1753] Loss_D: -0.082083 Loss_G: 0.054271 Loss_D_real: -0.052296 Loss_D_fake 0.029787
[20/5000][470/535][1754] Loss_D: -0.080104 Loss_G: 0.038822 Loss_D_real: -0.040725 Loss_D_fake 0.039379
[20/5000][475/535][1755] Loss_D: -0.076511 Loss_G: 0.038172 Loss_D_real: -0.038174 Loss_D_fake 0.038337
[20/5000][480/535][1756] Loss_D: -0.080826 Loss_G: 0.048318 Loss_D_real: -0.052079 Loss_D_fake 0.028748
[20/5000][485/535][1757] Loss_D: -0.076363 Loss_G: 0.009500 Loss_D_real: -0.020082 Loss_D_fake 0.056281
[20/5000][490/535][1758] Loss_D: -0.079099 Loss_G: 0.055421 Loss_D_real: -0.056991 Loss_D_fake 0.022108
[20/5000][495/535][1759] Loss_D: -0.077448 Loss_G: 0.014512 Loss_D_real: -0.025001 Loss_D_fake 0.052447
[20/5000][500/535][1760] Loss_D: -0.079183 Loss_G: 0.044559 Loss_D_real: -0.051411 Loss_D_fake 0.027772
[20/5000][505/535][1761] Loss_D: -0.079044 Loss_G: 0.037496 Loss_D_real: -0.041078 Loss_D_fake 0.037966
[20/5000][510/535][1762] Loss_D: -0.080701 Loss_G: 0.027558 Loss_D_real: -0.038019 Loss_D_fake 0.042682
[20/5000][515/535][1763] Loss_D: -0.077478 Loss_G: 0.057741 Loss_D_real: -0.055680 Loss_D_fake 0.021798
[20/5000][520/535][1764] Loss_D: -0.076902 Loss_G: 0.014247 Loss_D_real: -0.022829 Loss_D_fake 0.054073
[20/5000][525/535][1765] Loss_D: -0.075991 Loss_G: 0.054221 Loss_D_real: -0.055856 Loss_D_fake 0.020135
[20/5000][530/535][1766] Loss_D: -0.078074 Loss_G: 0.014713 Loss_D_real: -0.026682 Loss_D_fake 0.051392
[20/5000][535/535][1767] Loss_D: -0.079581 Loss_G: 0.031063 Loss_D_real: -0.047744 Loss_D_fake 0.031836
[21/5000][5/535][1768] Loss_D: -0.070490 Loss_G: 0.053494 Loss_D_real: -0.051366 Loss_D_fake 0.019123
[21/5000][10/535][1769] Loss_D: -0.073728 Loss_G: 0.024182 Loss_D_real: -0.026427 Loss_D_fake 0.047301
[21/5000][15/535][1770] Loss_D: -0.076585 Loss_G: 0.048217 Loss_D_real: -0.047214 Loss_D_fake 0.029371
[21/5000][20/535][1771] Loss_D: -0.078871 Loss_G: 0.030305 Loss_D_real: -0.036723 Loss_D_fake 0.042148
[21/5000][25/535][1772] Loss_D: -0.078962 Loss_G: 0.045948 Loss_D_real: -0.048974 Loss_D_fake 0.029989
[21/5000][30/535][1773] Loss_D: -0.079838 Loss_G: 0.020855 Loss_D_real: -0.028927 Loss_D_fake 0.050911
[21/5000][35/535][1774] Loss_D: -0.081094 Loss_G: 0.044611 Loss_D_real: -0.049075 Loss_D_fake 0.032019
[21/5000][40/535][1775] Loss_D: -0.078372 Loss_G: 0.037509 Loss_D_real: -0.037307 Loss_D_fake 0.041066
[21/5000][45/535][1776] Loss_D: -0.079730 Loss_G: 0.038896 Loss_D_real: -0.039912 Loss_D_fake 0.039818
[21/5000][50/535][1777] Loss_D: -0.076942 Loss_G: 0.051554 Loss_D_real: -0.050475 Loss_D_fake 0.026467
[21/5000][55/535][1778] Loss_D: -0.079512 Loss_G: 0.016185 Loss_D_real: -0.027673 Loss_D_fake 0.051839
[21/5000][60/535][1779] Loss_D: -0.074429 Loss_G: 0.062000 Loss_D_real: -0.065110 Loss_D_fake 0.009320
[21/5000][65/535][1780] Loss_D: -0.075998 Loss_G: 0.014525 Loss_D_real: -0.020597 Loss_D_fake 0.055402
[21/5000][70/535][1781] Loss_D: -0.080240 Loss_G: 0.042051 Loss_D_real: -0.050265 Loss_D_fake 0.029974
[21/5000][75/535][1782] Loss_D: -0.076804 Loss_G: 0.049373 Loss_D_real: -0.048392 Loss_D_fake 0.028411
[21/5000][80/535][1783] Loss_D: -0.075338 Loss_G: 0.035295 Loss_D_real: -0.034690 Loss_D_fake 0.040647
[21/5000][85/535][1784] Loss_D: -0.078634 Loss_G: 0.030314 Loss_D_real: -0.037228 Loss_D_fake 0.041406
[21/5000][90/535][1785] Loss_D: -0.076933 Loss_G: 0.021655 Loss_D_real: -0.027838 Loss_D_fake 0.049095
[21/5000][95/535][1786] Loss_D: -0.079652 Loss_G: 0.055168 Loss_D_real: -0.055113 Loss_D_fake 0.024538
[21/5000][100/535][1787] Loss_D: -0.079016 Loss_G: 0.023697 Loss_D_real: -0.028133 Loss_D_fake 0.050883
[21/5000][105/535][1788] Loss_D: -0.078093 Loss_G: 0.057761 Loss_D_real: -0.059988 Loss_D_fake 0.018105
[21/5000][110/535][1789] Loss_D: -0.080293 Loss_G: 0.029072 Loss_D_real: -0.036682 Loss_D_fake 0.043611
[21/5000][115/535][1790] Loss_D: -0.078747 Loss_G: 0.042622 Loss_D_real: -0.044074 Loss_D_fake 0.034673
[21/5000][120/535][1791] Loss_D: -0.080335 Loss_G: 0.037775 Loss_D_real: -0.044298 Loss_D_fake 0.036036
[21/5000][125/535][1792] Loss_D: -0.076053 Loss_G: 0.058574 Loss_D_real: -0.059174 Loss_D_fake 0.016880
[21/5000][130/535][1793] Loss_D: -0.077466 Loss_G: 0.017265 Loss_D_real: -0.023178 Loss_D_fake 0.054288
[21/5000][135/535][1794] Loss_D: -0.074871 Loss_G: 0.054614 Loss_D_real: -0.055708 Loss_D_fake 0.019163
[21/5000][140/535][1795] Loss_D: -0.078371 Loss_G: 0.023399 Loss_D_real: -0.033012 Loss_D_fake 0.045359
[21/5000][145/535][1796] Loss_D: -0.076529 Loss_G: 0.046049 Loss_D_real: -0.047858 Loss_D_fake 0.028671
[21/5000][150/535][1797] Loss_D: -0.072389 Loss_G: 0.054094 Loss_D_real: -0.052479 Loss_D_fake 0.019910
[21/5000][155/535][1798] Loss_D: -0.077293 Loss_G: 0.019324 Loss_D_real: -0.023657 Loss_D_fake 0.053636
[21/5000][160/535][1799] Loss_D: -0.077146 Loss_G: 0.041541 Loss_D_real: -0.043213 Loss_D_fake 0.033932
[21/5000][165/535][1800] Loss_D: -0.073702 Loss_G: 0.030094 Loss_D_real: -0.032789 Loss_D_fake 0.040914
[21/5000][170/535][1801] Loss_D: -0.077403 Loss_G: 0.050748 Loss_D_real: -0.048417 Loss_D_fake 0.028986
[21/5000][175/535][1802] Loss_D: -0.077840 Loss_G: 0.024294 Loss_D_real: -0.032317 Loss_D_fake 0.045523
[21/5000][180/535][1803] Loss_D: -0.077846 Loss_G: 0.046099 Loss_D_real: -0.045739 Loss_D_fake 0.032107
[21/5000][185/535][1804] Loss_D: -0.077799 Loss_G: 0.019981 Loss_D_real: -0.032460 Loss_D_fake 0.045339
[21/5000][190/535][1805] Loss_D: -0.079008 Loss_G: 0.054321 Loss_D_real: -0.053747 Loss_D_fake 0.025261
[21/5000][195/535][1806] Loss_D: -0.079115 Loss_G: 0.011398 Loss_D_real: -0.029340 Loss_D_fake 0.049774
[21/5000][200/535][1807] Loss_D: -0.075984 Loss_G: 0.058179 Loss_D_real: -0.059293 Loss_D_fake 0.016691
[21/5000][205/535][1808] Loss_D: -0.079101 Loss_G: 0.027550 Loss_D_real: -0.032049 Loss_D_fake 0.047052
[21/5000][210/535][1809] Loss_D: -0.078884 Loss_G: 0.053930 Loss_D_real: -0.051235 Loss_D_fake 0.027650
[21/5000][215/535][1810] Loss_D: -0.075644 Loss_G: 0.010651 Loss_D_real: -0.022279 Loss_D_fake 0.053364
[21/5000][220/535][1811] Loss_D: -0.075334 Loss_G: 0.054161 Loss_D_real: -0.058337 Loss_D_fake 0.016997
[21/5000][225/535][1812] Loss_D: -0.077464 Loss_G: 0.044160 Loss_D_real: -0.042350 Loss_D_fake 0.035114
[21/5000][230/535][1813] Loss_D: -0.079872 Loss_G: 0.024609 Loss_D_real: -0.029391 Loss_D_fake 0.050481
[21/5000][235/535][1814] Loss_D: -0.078188 Loss_G: 0.058047 Loss_D_real: -0.059806 Loss_D_fake 0.018382
[21/5000][240/535][1815] Loss_D: -0.076893 Loss_G: 0.020067 Loss_D_real: -0.022001 Loss_D_fake 0.054892
[21/5000][245/535][1816] Loss_D: -0.076552 Loss_G: 0.056310 Loss_D_real: -0.056794 Loss_D_fake 0.019758
[21/5000][250/535][1817] Loss_D: -0.075963 Loss_G: 0.023048 Loss_D_real: -0.029631 Loss_D_fake 0.046332
[21/5000][255/535][1818] Loss_D: -0.078133 Loss_G: 0.033466 Loss_D_real: -0.041189 Loss_D_fake 0.036944
[21/5000][260/535][1819] Loss_D: -0.076796 Loss_G: 0.041802 Loss_D_real: -0.042038 Loss_D_fake 0.034758
[21/5000][265/535][1820] Loss_D: -0.079450 Loss_G: 0.038083 Loss_D_real: -0.039438 Loss_D_fake 0.040012
[21/5000][270/535][1821] Loss_D: -0.078911 Loss_G: 0.048664 Loss_D_real: -0.051093 Loss_D_fake 0.027818
[21/5000][275/535][1822] Loss_D: -0.077995 Loss_G: 0.020881 Loss_D_real: -0.031957 Loss_D_fake 0.046037
[21/5000][280/535][1823] Loss_D: -0.077992 Loss_G: 0.056992 Loss_D_real: -0.060129 Loss_D_fake 0.017862
[21/5000][285/535][1824] Loss_D: -0.075290 Loss_G: 0.025641 Loss_D_real: -0.029208 Loss_D_fake 0.046082
[21/5000][290/535][1825] Loss_D: -0.078916 Loss_G: 0.049172 Loss_D_real: -0.053365 Loss_D_fake 0.025551
[21/5000][295/535][1826] Loss_D: -0.076425 Loss_G: 0.020169 Loss_D_real: -0.028281 Loss_D_fake 0.048144
[21/5000][300/535][1827] Loss_D: -0.075074 Loss_G: 0.061491 Loss_D_real: -0.060591 Loss_D_fake 0.014483
[21/5000][305/535][1828] Loss_D: -0.077085 Loss_G: 0.014797 Loss_D_real: -0.021107 Loss_D_fake 0.055978
[21/5000][310/535][1829] Loss_D: -0.075276 Loss_G: 0.049030 Loss_D_real: -0.052626 Loss_D_fake 0.022651
[21/5000][315/535][1830] Loss_D: -0.079534 Loss_G: 0.027477 Loss_D_real: -0.032356 Loss_D_fake 0.047178
[21/5000][320/535][1831] Loss_D: -0.078671 Loss_G: 0.030933 Loss_D_real: -0.041201 Loss_D_fake 0.037469
[21/5000][325/535][1832] Loss_D: -0.074565 Loss_G: 0.045650 Loss_D_real: -0.046361 Loss_D_fake 0.028204
[21/5000][330/535][1833] Loss_D: -0.076626 Loss_G: 0.022984 Loss_D_real: -0.029523 Loss_D_fake 0.047104
[21/5000][335/535][1834] Loss_D: -0.079265 Loss_G: 0.062877 Loss_D_real: -0.062923 Loss_D_fake 0.016343
[21/5000][340/535][1835] Loss_D: -0.076040 Loss_G: 0.009615 Loss_D_real: -0.021881 Loss_D_fake 0.054158
[21/5000][345/535][1836] Loss_D: -0.075772 Loss_G: 0.056015 Loss_D_real: -0.058467 Loss_D_fake 0.017305
[21/5000][350/535][1837] Loss_D: -0.078998 Loss_G: 0.027237 Loss_D_real: -0.035242 Loss_D_fake 0.043756
[21/5000][355/535][1838] Loss_D: -0.075022 Loss_G: 0.048847 Loss_D_real: -0.046799 Loss_D_fake 0.028223
[21/5000][360/535][1839] Loss_D: -0.077948 Loss_G: 0.039476 Loss_D_real: -0.043279 Loss_D_fake 0.034669
[21/5000][365/535][1840] Loss_D: -0.079981 Loss_G: 0.046628 Loss_D_real: -0.048699 Loss_D_fake 0.031282
[21/5000][370/535][1841] Loss_D: -0.078348 Loss_G: 0.034449 Loss_D_real: -0.036536 Loss_D_fake 0.041811
[21/5000][375/535][1842] Loss_D: -0.077798 Loss_G: 0.049491 Loss_D_real: -0.049177 Loss_D_fake 0.028621
[21/5000][380/535][1843] Loss_D: -0.079643 Loss_G: 0.032732 Loss_D_real: -0.034219 Loss_D_fake 0.045424
[21/5000][385/535][1844] Loss_D: -0.080514 Loss_G: 0.046125 Loss_D_real: -0.048461 Loss_D_fake 0.032053
[21/5000][390/535][1845] Loss_D: -0.077089 Loss_G: 0.045873 Loss_D_real: -0.044483 Loss_D_fake 0.032606
[21/5000][395/535][1846] Loss_D: -0.077042 Loss_G: 0.032449 Loss_D_real: -0.040373 Loss_D_fake 0.036669
[21/5000][400/535][1847] Loss_D: -0.077236 Loss_G: 0.038964 Loss_D_real: -0.043381 Loss_D_fake 0.033855
[21/5000][405/535][1848] Loss_D: -0.080669 Loss_G: 0.026715 Loss_D_real: -0.036506 Loss_D_fake 0.044163
[21/5000][410/535][1849] Loss_D: -0.078809 Loss_G: 0.045678 Loss_D_real: -0.044824 Loss_D_fake 0.033985
[21/5000][415/535][1850] Loss_D: -0.079202 Loss_G: 0.032164 Loss_D_real: -0.038794 Loss_D_fake 0.040408
[21/5000][420/535][1851] Loss_D: -0.079918 Loss_G: 0.050096 Loss_D_real: -0.050130 Loss_D_fake 0.029788
[21/5000][425/535][1852] Loss_D: -0.077614 Loss_G: 0.013514 Loss_D_real: -0.028983 Loss_D_fake 0.048631
[21/5000][430/535][1853] Loss_D: -0.072188 Loss_G: 0.067874 Loss_D_real: -0.065795 Loss_D_fake 0.006393
[21/5000][435/535][1854] Loss_D: -0.071555 Loss_G: 0.009286 Loss_D_real: -0.011268 Loss_D_fake 0.060286
[21/5000][440/535][1855] Loss_D: -0.072956 Loss_G: 0.052647 Loss_D_real: -0.053712 Loss_D_fake 0.019244
[21/5000][445/535][1856] Loss_D: -0.073816 Loss_G: 0.021128 Loss_D_real: -0.028291 Loss_D_fake 0.045525
[21/5000][450/535][1857] Loss_D: -0.080040 Loss_G: 0.048043 Loss_D_real: -0.051999 Loss_D_fake 0.028041
[21/5000][455/535][1858] Loss_D: -0.079374 Loss_G: 0.030566 Loss_D_real: -0.035439 Loss_D_fake 0.043935
[21/5000][460/535][1859] Loss_D: -0.074874 Loss_G: 0.037077 Loss_D_real: -0.040813 Loss_D_fake 0.034061
[21/5000][465/535][1860] Loss_D: -0.078712 Loss_G: 0.036300 Loss_D_real: -0.042394 Loss_D_fake 0.036318
[21/5000][470/535][1861] Loss_D: -0.078176 Loss_G: 0.036330 Loss_D_real: -0.039971 Loss_D_fake 0.038205
[21/5000][475/535][1862] Loss_D: -0.079200 Loss_G: 0.049443 Loss_D_real: -0.048200 Loss_D_fake 0.031000
[21/5000][480/535][1863] Loss_D: -0.077288 Loss_G: 0.013745 Loss_D_real: -0.025057 Loss_D_fake 0.052231
[21/5000][485/535][1864] Loss_D: -0.072257 Loss_G: 0.064865 Loss_D_real: -0.062310 Loss_D_fake 0.009947
[21/5000][490/535][1865] Loss_D: -0.076682 Loss_G: 0.015518 Loss_D_real: -0.027467 Loss_D_fake 0.049214
[21/5000][495/535][1866] Loss_D: -0.075794 Loss_G: 0.060457 Loss_D_real: -0.060967 Loss_D_fake 0.014826
[21/5000][500/535][1867] Loss_D: -0.075214 Loss_G: 0.004723 Loss_D_real: -0.018591 Loss_D_fake 0.056623
[21/5000][505/535][1868] Loss_D: -0.074828 Loss_G: 0.052602 Loss_D_real: -0.052636 Loss_D_fake 0.022191
[21/5000][510/535][1869] Loss_D: -0.077731 Loss_G: 0.027024 Loss_D_real: -0.031302 Loss_D_fake 0.046429
[21/5000][515/535][1870] Loss_D: -0.075997 Loss_G: 0.028999 Loss_D_real: -0.038103 Loss_D_fake 0.037894
[21/5000][520/535][1871] Loss_D: -0.079727 Loss_G: 0.035657 Loss_D_real: -0.038588 Loss_D_fake 0.041139
[21/5000][525/535][1872] Loss_D: -0.077994 Loss_G: 0.032730 Loss_D_real: -0.037488 Loss_D_fake 0.040506
[21/5000][530/535][1873] Loss_D: -0.076107 Loss_G: 0.038260 Loss_D_real: -0.042962 Loss_D_fake 0.033145
[21/5000][535/535][1874] Loss_D: -0.068083 Loss_G: 0.017864 Loss_D_real: -0.028221 Loss_D_fake 0.039862
[22/5000][5/535][1875] Loss_D: -0.074754 Loss_G: 0.050638 Loss_D_real: -0.050177 Loss_D_fake 0.024577
[22/5000][10/535][1876] Loss_D: -0.075702 Loss_G: 0.045087 Loss_D_real: -0.046031 Loss_D_fake 0.029671
[22/5000][15/535][1877] Loss_D: -0.077665 Loss_G: 0.036384 Loss_D_real: -0.041564 Loss_D_fake 0.036101
[22/5000][20/535][1878] Loss_D: -0.076548 Loss_G: 0.038392 Loss_D_real: -0.038800 Loss_D_fake 0.037749
[22/5000][25/535][1879] Loss_D: -0.077127 Loss_G: 0.027946 Loss_D_real: -0.035248 Loss_D_fake 0.041878
[22/5000][30/535][1880] Loss_D: -0.076939 Loss_G: 0.037572 Loss_D_real: -0.044058 Loss_D_fake 0.032881
[22/5000][35/535][1881] Loss_D: -0.079077 Loss_G: 0.054497 Loss_D_real: -0.052152 Loss_D_fake 0.026926
[22/5000][40/535][1882] Loss_D: -0.072113 Loss_G: 0.005633 Loss_D_real: -0.015884 Loss_D_fake 0.056228
[22/5000][45/535][1883] Loss_D: -0.074692 Loss_G: 0.054596 Loss_D_real: -0.060538 Loss_D_fake 0.014154
[22/5000][50/535][1884] Loss_D: -0.075423 Loss_G: 0.013589 Loss_D_real: -0.025388 Loss_D_fake 0.050035
[22/5000][55/535][1885] Loss_D: -0.075020 Loss_G: 0.053473 Loss_D_real: -0.056571 Loss_D_fake 0.018448
[22/5000][60/535][1886] Loss_D: -0.074930 Loss_G: 0.022422 Loss_D_real: -0.028214 Loss_D_fake 0.046717
[22/5000][65/535][1887] Loss_D: -0.078117 Loss_G: 0.042951 Loss_D_real: -0.047543 Loss_D_fake 0.030574
[22/5000][70/535][1888] Loss_D: -0.072196 Loss_G: 0.038500 Loss_D_real: -0.042473 Loss_D_fake 0.029723
[22/5000][75/535][1889] Loss_D: -0.077663 Loss_G: 0.024714 Loss_D_real: -0.031831 Loss_D_fake 0.045832
[22/5000][80/535][1890] Loss_D: -0.078630 Loss_G: 0.027694 Loss_D_real: -0.038328 Loss_D_fake 0.040303
[22/5000][85/535][1891] Loss_D: -0.078267 Loss_G: 0.046046 Loss_D_real: -0.045061 Loss_D_fake 0.033206
[22/5000][90/535][1892] Loss_D: -0.078209 Loss_G: 0.025900 Loss_D_real: -0.033577 Loss_D_fake 0.044632
[22/5000][95/535][1893] Loss_D: -0.076804 Loss_G: 0.062371 Loss_D_real: -0.064362 Loss_D_fake 0.012441
[22/5000][100/535][1894] Loss_D: -0.073308 Loss_G: 0.004246 Loss_D_real: -0.013950 Loss_D_fake 0.059359
[22/5000][105/535][1895] Loss_D: -0.072422 Loss_G: 0.051009 Loss_D_real: -0.055321 Loss_D_fake 0.017101
[22/5000][110/535][1896] Loss_D: -0.079412 Loss_G: 0.026966 Loss_D_real: -0.036813 Loss_D_fake 0.042599
[22/5000][115/535][1897] Loss_D: -0.075990 Loss_G: 0.056824 Loss_D_real: -0.056908 Loss_D_fake 0.019082
[22/5000][120/535][1898] Loss_D: -0.073965 Loss_G: 0.006233 Loss_D_real: -0.019188 Loss_D_fake 0.054777
[22/5000][125/535][1899] Loss_D: -0.075512 Loss_G: 0.055781 Loss_D_real: -0.062546 Loss_D_fake 0.012966
[22/5000][130/535][1900] Loss_D: -0.077329 Loss_G: 0.011276 Loss_D_real: -0.019090 Loss_D_fake 0.058239
[22/5000][135/535][1901] Loss_D: -0.077158 Loss_G: 0.047662 Loss_D_real: -0.051010 Loss_D_fake 0.026147
[22/5000][140/535][1902] Loss_D: -0.076564 Loss_G: 0.040152 Loss_D_real: -0.040980 Loss_D_fake 0.035584
[22/5000][145/535][1903] Loss_D: -0.080287 Loss_G: 0.038277 Loss_D_real: -0.041424 Loss_D_fake 0.038863
[22/5000][150/535][1904] Loss_D: -0.080033 Loss_G: 0.032297 Loss_D_real: -0.036101 Loss_D_fake 0.043932
[22/5000][155/535][1905] Loss_D: -0.078440 Loss_G: 0.035034 Loss_D_real: -0.040105 Loss_D_fake 0.038336
[22/5000][160/535][1906] Loss_D: -0.076482 Loss_G: 0.021132 Loss_D_real: -0.031055 Loss_D_fake 0.045427
[22/5000][165/535][1907] Loss_D: -0.074643 Loss_G: 0.066024 Loss_D_real: -0.063681 Loss_D_fake 0.010962
[22/5000][170/535][1908] Loss_D: -0.075295 Loss_G: 0.013380 Loss_D_real: -0.020394 Loss_D_fake 0.054901
[22/5000][175/535][1909] Loss_D: -0.073284 Loss_G: 0.052949 Loss_D_real: -0.052427 Loss_D_fake 0.020857
[22/5000][180/535][1910] Loss_D: -0.078172 Loss_G: 0.033436 Loss_D_real: -0.037682 Loss_D_fake 0.040491
[22/5000][185/535][1911] Loss_D: -0.077391 Loss_G: 0.049912 Loss_D_real: -0.049642 Loss_D_fake 0.027748
[22/5000][190/535][1912] Loss_D: -0.077563 Loss_G: 0.037489 Loss_D_real: -0.038734 Loss_D_fake 0.038829
[22/5000][195/535][1913] Loss_D: -0.076588 Loss_G: 0.021212 Loss_D_real: -0.031645 Loss_D_fake 0.044943
[22/5000][200/535][1914] Loss_D: -0.076827 Loss_G: 0.047340 Loss_D_real: -0.048349 Loss_D_fake 0.028478
[22/5000][205/535][1915] Loss_D: -0.075149 Loss_G: 0.011863 Loss_D_real: -0.027979 Loss_D_fake 0.047169
[22/5000][210/535][1916] Loss_D: -0.076665 Loss_G: 0.058011 Loss_D_real: -0.060550 Loss_D_fake 0.016115
[22/5000][215/535][1917] Loss_D: -0.075662 Loss_G: 0.030108 Loss_D_real: -0.033784 Loss_D_fake 0.041878
[22/5000][220/535][1918] Loss_D: -0.076387 Loss_G: 0.036966 Loss_D_real: -0.043456 Loss_D_fake 0.032931
[22/5000][225/535][1919] Loss_D: -0.075501 Loss_G: 0.030164 Loss_D_real: -0.042013 Loss_D_fake 0.033488
[22/5000][230/535][1920] Loss_D: -0.076658 Loss_G: 0.040907 Loss_D_real: -0.040558 Loss_D_fake 0.036100
[22/5000][235/535][1921] Loss_D: -0.077323 Loss_G: 0.020467 Loss_D_real: -0.033816 Loss_D_fake 0.043506
[22/5000][240/535][1922] Loss_D: -0.079699 Loss_G: 0.051377 Loss_D_real: -0.052363 Loss_D_fake 0.027336
[22/5000][245/535][1923] Loss_D: -0.077967 Loss_G: 0.021331 Loss_D_real: -0.029939 Loss_D_fake 0.048028
[22/5000][250/535][1924] Loss_D: -0.078351 Loss_G: 0.034412 Loss_D_real: -0.043258 Loss_D_fake 0.035092
[22/5000][255/535][1925] Loss_D: -0.076530 Loss_G: 0.031895 Loss_D_real: -0.034891 Loss_D_fake 0.041640
[22/5000][260/535][1926] Loss_D: -0.077527 Loss_G: 0.030531 Loss_D_real: -0.033471 Loss_D_fake 0.044056
[22/5000][265/535][1927] Loss_D: -0.072702 Loss_G: 0.064601 Loss_D_real: -0.058768 Loss_D_fake 0.013934
[22/5000][270/535][1928] Loss_D: -0.074467 Loss_G: 0.006264 Loss_D_real: -0.018753 Loss_D_fake 0.055715
[22/5000][275/535][1929] Loss_D: -0.077288 Loss_G: 0.054990 Loss_D_real: -0.057765 Loss_D_fake 0.019523
[22/5000][280/535][1930] Loss_D: -0.077416 Loss_G: 0.010852 Loss_D_real: -0.027897 Loss_D_fake 0.049519
[22/5000][285/535][1931] Loss_D: -0.074229 Loss_G: 0.058073 Loss_D_real: -0.060007 Loss_D_fake 0.014222
[22/5000][290/535][1932] Loss_D: -0.075695 Loss_G: 0.015819 Loss_D_real: -0.026594 Loss_D_fake 0.049101
[22/5000][295/535][1933] Loss_D: -0.075939 Loss_G: 0.040143 Loss_D_real: -0.045891 Loss_D_fake 0.030048
[22/5000][300/535][1934] Loss_D: -0.074434 Loss_G: 0.048981 Loss_D_real: -0.045619 Loss_D_fake 0.028816
[22/5000][305/535][1935] Loss_D: -0.079442 Loss_G: 0.044277 Loss_D_real: -0.043447 Loss_D_fake 0.035995
[22/5000][310/535][1936] Loss_D: -0.077022 Loss_G: 0.037569 Loss_D_real: -0.039454 Loss_D_fake 0.037568
[22/5000][315/535][1937] Loss_D: -0.078809 Loss_G: 0.043361 Loss_D_real: -0.045773 Loss_D_fake 0.033036
[22/5000][320/535][1938] Loss_D: -0.078285 Loss_G: 0.031882 Loss_D_real: -0.038199 Loss_D_fake 0.040087
[22/5000][325/535][1939] Loss_D: -0.077280 Loss_G: 0.044835 Loss_D_real: -0.048296 Loss_D_fake 0.028984
[22/5000][330/535][1940] Loss_D: -0.077319 Loss_G: 0.033208 Loss_D_real: -0.036834 Loss_D_fake 0.040485
[22/5000][335/535][1941] Loss_D: -0.076064 Loss_G: 0.044110 Loss_D_real: -0.046779 Loss_D_fake 0.029285
[22/5000][340/535][1942] Loss_D: -0.077100 Loss_G: 0.035756 Loss_D_real: -0.035405 Loss_D_fake 0.041694
[22/5000][345/535][1943] Loss_D: -0.078415 Loss_G: 0.032643 Loss_D_real: -0.038554 Loss_D_fake 0.039861
[22/5000][350/535][1944] Loss_D: -0.077255 Loss_G: 0.042140 Loss_D_real: -0.043885 Loss_D_fake 0.033370
[22/5000][355/535][1945] Loss_D: -0.078877 Loss_G: 0.048213 Loss_D_real: -0.048247 Loss_D_fake 0.030630
[22/5000][360/535][1946] Loss_D: -0.077361 Loss_G: 0.031690 Loss_D_real: -0.036925 Loss_D_fake 0.040436
[22/5000][365/535][1947] Loss_D: -0.075007 Loss_G: 0.054128 Loss_D_real: -0.055999 Loss_D_fake 0.019008
[22/5000][370/535][1948] Loss_D: -0.076220 Loss_G: 0.007783 Loss_D_real: -0.024000 Loss_D_fake 0.052220
[22/5000][375/535][1949] Loss_D: -0.070050 Loss_G: 0.063300 Loss_D_real: -0.064859 Loss_D_fake 0.005191
[22/5000][380/535][1950] Loss_D: -0.073796 Loss_G: 0.011436 Loss_D_real: -0.021226 Loss_D_fake 0.052570
[22/5000][385/535][1951] Loss_D: -0.075620 Loss_G: 0.054220 Loss_D_real: -0.057549 Loss_D_fake 0.018071
[22/5000][390/535][1952] Loss_D: -0.078731 Loss_G: 0.026285 Loss_D_real: -0.036435 Loss_D_fake 0.042296
[22/5000][395/535][1953] Loss_D: -0.075395 Loss_G: 0.059550 Loss_D_real: -0.054556 Loss_D_fake 0.020838
[22/5000][400/535][1954] Loss_D: -0.074516 Loss_G: 0.007694 Loss_D_real: -0.019269 Loss_D_fake 0.055246
[22/5000][405/535][1955] Loss_D: -0.073605 Loss_G: 0.056765 Loss_D_real: -0.059615 Loss_D_fake 0.013990
[22/5000][410/535][1956] Loss_D: -0.072997 Loss_G: 0.041233 Loss_D_real: -0.041810 Loss_D_fake 0.031187
[22/5000][415/535][1957] Loss_D: -0.078128 Loss_G: 0.031944 Loss_D_real: -0.038807 Loss_D_fake 0.039321
[22/5000][420/535][1958] Loss_D: -0.077966 Loss_G: 0.049960 Loss_D_real: -0.051403 Loss_D_fake 0.026564
[22/5000][425/535][1959] Loss_D: -0.075912 Loss_G: 0.022332 Loss_D_real: -0.030489 Loss_D_fake 0.045423
[22/5000][430/535][1960] Loss_D: -0.074361 Loss_G: 0.029099 Loss_D_real: -0.034220 Loss_D_fake 0.040141
[22/5000][435/535][1961] Loss_D: -0.076075 Loss_G: 0.049218 Loss_D_real: -0.049824 Loss_D_fake 0.026251
[22/5000][440/535][1962] Loss_D: -0.077512 Loss_G: 0.029516 Loss_D_real: -0.031521 Loss_D_fake 0.045990
[22/5000][445/535][1963] Loss_D: -0.075167 Loss_G: 0.061339 Loss_D_real: -0.058545 Loss_D_fake 0.016622
[22/5000][450/535][1964] Loss_D: -0.073453 Loss_G: 0.019784 Loss_D_real: -0.021979 Loss_D_fake 0.051474
[22/5000][455/535][1965] Loss_D: -0.075643 Loss_G: 0.049710 Loss_D_real: -0.050558 Loss_D_fake 0.025085
[22/5000][460/535][1966] Loss_D: -0.076035 Loss_G: 0.015309 Loss_D_real: -0.023760 Loss_D_fake 0.052275
[22/5000][465/535][1967] Loss_D: -0.076010 Loss_G: 0.054071 Loss_D_real: -0.056003 Loss_D_fake 0.020007
[22/5000][470/535][1968] Loss_D: -0.076324 Loss_G: 0.027728 Loss_D_real: -0.028784 Loss_D_fake 0.047540
[22/5000][475/535][1969] Loss_D: -0.076491 Loss_G: 0.026980 Loss_D_real: -0.032807 Loss_D_fake 0.043683
[22/5000][480/535][1970] Loss_D: -0.077562 Loss_G: 0.048176 Loss_D_real: -0.048085 Loss_D_fake 0.029477
[22/5000][485/535][1971] Loss_D: -0.078189 Loss_G: 0.017206 Loss_D_real: -0.030076 Loss_D_fake 0.048113
[22/5000][490/535][1972] Loss_D: -0.072659 Loss_G: 0.056897 Loss_D_real: -0.061755 Loss_D_fake 0.010904
[22/5000][495/535][1973] Loss_D: -0.075632 Loss_G: 0.016582 Loss_D_real: -0.028181 Loss_D_fake 0.047451
[22/5000][500/535][1974] Loss_D: -0.075265 Loss_G: 0.053071 Loss_D_real: -0.055331 Loss_D_fake 0.019934
[22/5000][505/535][1975] Loss_D: -0.074249 Loss_G: 0.033512 Loss_D_real: -0.034575 Loss_D_fake 0.039674
[22/5000][510/535][1976] Loss_D: -0.074001 Loss_G: 0.039093 Loss_D_real: -0.043988 Loss_D_fake 0.030012
[22/5000][515/535][1977] Loss_D: -0.074066 Loss_G: 0.030705 Loss_D_real: -0.035874 Loss_D_fake 0.038192
[22/5000][520/535][1978] Loss_D: -0.075304 Loss_G: 0.034151 Loss_D_real: -0.040320 Loss_D_fake 0.034984
[22/5000][525/535][1979] Loss_D: -0.076605 Loss_G: 0.037204 Loss_D_real: -0.040103 Loss_D_fake 0.036502
[22/5000][530/535][1980] Loss_D: -0.077815 Loss_G: 0.041792 Loss_D_real: -0.045349 Loss_D_fake 0.032466
[22/5000][535/535][1981] Loss_D: -0.071266 Loss_G: 0.015107 Loss_D_real: -0.026737 Loss_D_fake 0.044528
[23/5000][5/535][1982] Loss_D: -0.074034 Loss_G: 0.059874 Loss_D_real: -0.060335 Loss_D_fake 0.013698
[23/5000][10/535][1983] Loss_D: -0.075044 Loss_G: 0.012966 Loss_D_real: -0.025376 Loss_D_fake 0.049667
[23/5000][15/535][1984] Loss_D: -0.071692 Loss_G: 0.055116 Loss_D_real: -0.058502 Loss_D_fake 0.013190
[23/5000][20/535][1985] Loss_D: -0.071810 Loss_G: 0.015051 Loss_D_real: -0.019928 Loss_D_fake 0.051882
[23/5000][25/535][1986] Loss_D: -0.075985 Loss_G: 0.037622 Loss_D_real: -0.044031 Loss_D_fake 0.031954
[23/5000][30/535][1987] Loss_D: -0.077068 Loss_G: 0.042747 Loss_D_real: -0.044205 Loss_D_fake 0.032863
[23/5000][35/535][1988] Loss_D: -0.077269 Loss_G: 0.025096 Loss_D_real: -0.032730 Loss_D_fake 0.044539
[23/5000][40/535][1989] Loss_D: -0.076070 Loss_G: 0.059284 Loss_D_real: -0.061588 Loss_D_fake 0.014481
[23/5000][45/535][1990] Loss_D: -0.074890 Loss_G: 0.020186 Loss_D_real: -0.029075 Loss_D_fake 0.045815
[23/5000][50/535][1991] Loss_D: -0.077248 Loss_G: 0.037464 Loss_D_real: -0.046274 Loss_D_fake 0.030975
[23/5000][55/535][1992] Loss_D: -0.074777 Loss_G: 0.035882 Loss_D_real: -0.039789 Loss_D_fake 0.034988
[23/5000][60/535][1993] Loss_D: -0.079039 Loss_G: 0.032013 Loss_D_real: -0.042223 Loss_D_fake 0.036816
[23/5000][65/535][1994] Loss_D: -0.074075 Loss_G: 0.039315 Loss_D_real: -0.041877 Loss_D_fake 0.032198
[23/5000][70/535][1995] Loss_D: -0.075700 Loss_G: 0.035929 Loss_D_real: -0.040291 Loss_D_fake 0.035409
[23/5000][75/535][1996] Loss_D: -0.074622 Loss_G: 0.045753 Loss_D_real: -0.044671 Loss_D_fake 0.029952
[23/5000][80/535][1997] Loss_D: -0.077104 Loss_G: 0.016358 Loss_D_real: -0.031956 Loss_D_fake 0.045148
[23/5000][85/535][1998] Loss_D: -0.072103 Loss_G: 0.062422 Loss_D_real: -0.062423 Loss_D_fake 0.009680
[23/5000][90/535][1999] Loss_D: -0.076778 Loss_G: 0.017893 Loss_D_real: -0.026519 Loss_D_fake 0.050259
[23/5000][95/535][2000] Loss_D: -0.072891 Loss_G: 0.049903 Loss_D_real: -0.051364 Loss_D_fake 0.021527
[23/5000][195/535][2001] Loss_D: -0.077024 Loss_G: 0.040097 Loss_D_real: -0.038823 Loss_D_fake 0.038200
[23/5000][200/535][2002] Loss_D: -0.076679 Loss_G: 0.028971 Loss_D_real: -0.031105 Loss_D_fake 0.045574
[23/5000][205/535][2003] Loss_D: -0.076387 Loss_G: 0.034531 Loss_D_real: -0.040381 Loss_D_fake 0.036007
[23/5000][210/535][2004] Loss_D: -0.075924 Loss_G: 0.038312 Loss_D_real: -0.042061 Loss_D_fake 0.033863
[23/5000][215/535][2005] Loss_D: -0.078161 Loss_G: 0.043352 Loss_D_real: -0.048001 Loss_D_fake 0.030160
[23/5000][220/535][2006] Loss_D: -0.075033 Loss_G: 0.012304 Loss_D_real: -0.027574 Loss_D_fake 0.047458
[23/5000][225/535][2007] Loss_D: -0.077056 Loss_G: 0.045653 Loss_D_real: -0.052561 Loss_D_fake 0.024495
[23/5000][230/535][2008] Loss_D: -0.077336 Loss_G: 0.038862 Loss_D_real: -0.037807 Loss_D_fake 0.039528
[23/5000][235/535][2009] Loss_D: -0.077039 Loss_G: 0.045554 Loss_D_real: -0.045103 Loss_D_fake 0.031936
[23/5000][240/535][2010] Loss_D: -0.074889 Loss_G: 0.027516 Loss_D_real: -0.031704 Loss_D_fake 0.043185
[23/5000][245/535][2011] Loss_D: -0.076668 Loss_G: 0.040703 Loss_D_real: -0.043205 Loss_D_fake 0.033463
[23/5000][250/535][2012] Loss_D: -0.075591 Loss_G: 0.033995 Loss_D_real: -0.036837 Loss_D_fake 0.038754
[23/5000][255/535][2013] Loss_D: -0.078269 Loss_G: 0.043361 Loss_D_real: -0.047576 Loss_D_fake 0.030693
[23/5000][260/535][2014] Loss_D: -0.077231 Loss_G: 0.023889 Loss_D_real: -0.035159 Loss_D_fake 0.042072
[23/5000][265/535][2015] Loss_D: -0.075180 Loss_G: 0.060869 Loss_D_real: -0.056932 Loss_D_fake 0.018248
[23/5000][270/535][2016] Loss_D: -0.075028 Loss_G: 0.001941 Loss_D_real: -0.019630 Loss_D_fake 0.055398
[23/5000][275/535][2017] Loss_D: -0.072850 Loss_G: 0.059897 Loss_D_real: -0.056586 Loss_D_fake 0.016265
[23/5000][280/535][2018] Loss_D: -0.073817 Loss_G: 0.007849 Loss_D_real: -0.022205 Loss_D_fake 0.051611
[23/5000][285/535][2019] Loss_D: -0.071785 Loss_G: 0.058562 Loss_D_real: -0.059784 Loss_D_fake 0.012001
[23/5000][290/535][2020] Loss_D: -0.076613 Loss_G: 0.024333 Loss_D_real: -0.032222 Loss_D_fake 0.044391
[23/5000][295/535][2021] Loss_D: -0.076209 Loss_G: 0.030768 Loss_D_real: -0.040149 Loss_D_fake 0.036060
[23/5000][300/535][2022] Loss_D: -0.075816 Loss_G: 0.043808 Loss_D_real: -0.045160 Loss_D_fake 0.030656
[23/5000][305/535][2023] Loss_D: -0.076346 Loss_G: 0.030082 Loss_D_real: -0.031953 Loss_D_fake 0.044392
[23/5000][310/535][2024] Loss_D: -0.077538 Loss_G: 0.037102 Loss_D_real: -0.041562 Loss_D_fake 0.035976
[23/5000][315/535][2025] Loss_D: -0.077774 Loss_G: 0.039008 Loss_D_real: -0.040901 Loss_D_fake 0.036873
[23/5000][320/535][2026] Loss_D: -0.076392 Loss_G: 0.030203 Loss_D_real: -0.035845 Loss_D_fake 0.040547
[23/5000][325/535][2027] Loss_D: -0.077798 Loss_G: 0.051992 Loss_D_real: -0.048883 Loss_D_fake 0.028915
[23/5000][330/535][2028] Loss_D: -0.075954 Loss_G: 0.008733 Loss_D_real: -0.019876 Loss_D_fake 0.056079
[23/5000][335/535][2029] Loss_D: -0.073988 Loss_G: 0.056188 Loss_D_real: -0.060329 Loss_D_fake 0.013659
[23/5000][340/535][2030] Loss_D: -0.075863 Loss_G: 0.027106 Loss_D_real: -0.033625 Loss_D_fake 0.042238
[23/5000][345/535][2031] Loss_D: -0.075573 Loss_G: 0.049654 Loss_D_real: -0.051838 Loss_D_fake 0.023735
[23/5000][350/535][2032] Loss_D: -0.075643 Loss_G: 0.048228 Loss_D_real: -0.048588 Loss_D_fake 0.027054
[23/5000][355/535][2033] Loss_D: -0.079003 Loss_G: 0.021347 Loss_D_real: -0.031493 Loss_D_fake 0.047510
[23/5000][360/535][2034] Loss_D: -0.075075 Loss_G: 0.040585 Loss_D_real: -0.047512 Loss_D_fake 0.027563
[23/5000][365/535][2035] Loss_D: -0.076517 Loss_G: 0.052733 Loss_D_real: -0.054180 Loss_D_fake 0.022337
[23/5000][370/535][2036] Loss_D: -0.075020 Loss_G: 0.017049 Loss_D_real: -0.023693 Loss_D_fake 0.051327
[23/5000][375/535][2037] Loss_D: -0.074552 Loss_G: 0.046604 Loss_D_real: -0.051592 Loss_D_fake 0.022959
[23/5000][380/535][2038] Loss_D: -0.076142 Loss_G: 0.024024 Loss_D_real: -0.029499 Loss_D_fake 0.046643
[23/5000][385/535][2039] Loss_D: -0.076751 Loss_G: 0.062421 Loss_D_real: -0.060308 Loss_D_fake 0.016443
[23/5000][390/535][2040] Loss_D: -0.073361 Loss_G: 0.008160 Loss_D_real: -0.016723 Loss_D_fake 0.056639
[23/5000][395/535][2041] Loss_D: -0.074660 Loss_G: 0.053588 Loss_D_real: -0.056603 Loss_D_fake 0.018056
[23/5000][400/535][2042] Loss_D: -0.077423 Loss_G: 0.032334 Loss_D_real: -0.034154 Loss_D_fake 0.043270
[23/5000][405/535][2043] Loss_D: -0.076469 Loss_G: 0.040671 Loss_D_real: -0.042895 Loss_D_fake 0.033574
[23/5000][410/535][2044] Loss_D: -0.075928 Loss_G: 0.033017 Loss_D_real: -0.036896 Loss_D_fake 0.039031
[23/5000][415/535][2045] Loss_D: -0.077609 Loss_G: 0.045388 Loss_D_real: -0.047312 Loss_D_fake 0.030297
[23/5000][420/535][2046] Loss_D: -0.076151 Loss_G: 0.043083 Loss_D_real: -0.046185 Loss_D_fake 0.029966
[23/5000][425/535][2047] Loss_D: -0.076888 Loss_G: 0.046311 Loss_D_real: -0.048657 Loss_D_fake 0.028231
[23/5000][430/535][2048] Loss_D: -0.074612 Loss_G: 0.015913 Loss_D_real: -0.030147 Loss_D_fake 0.044465
[23/5000][435/535][2049] Loss_D: -0.076300 Loss_G: 0.052164 Loss_D_real: -0.054725 Loss_D_fake 0.021575
[23/5000][440/535][2050] Loss_D: -0.074210 Loss_G: 0.028076 Loss_D_real: -0.030376 Loss_D_fake 0.043834
[23/5000][445/535][2051] Loss_D: -0.073702 Loss_G: 0.023841 Loss_D_real: -0.036276 Loss_D_fake 0.037426
[23/5000][450/535][2052] Loss_D: -0.075257 Loss_G: 0.043781 Loss_D_real: -0.046191 Loss_D_fake 0.029066
[23/5000][455/535][2053] Loss_D: -0.077569 Loss_G: 0.023456 Loss_D_real: -0.031379 Loss_D_fake 0.046190
[23/5000][460/535][2054] Loss_D: -0.077246 Loss_G: 0.047296 Loss_D_real: -0.050702 Loss_D_fake 0.026544
[23/5000][465/535][2055] Loss_D: -0.075988 Loss_G: 0.018493 Loss_D_real: -0.031227 Loss_D_fake 0.044761
[23/5000][470/535][2056] Loss_D: -0.072748 Loss_G: 0.059359 Loss_D_real: -0.059041 Loss_D_fake 0.013708
[23/5000][475/535][2057] Loss_D: -0.073182 Loss_G: 0.006369 Loss_D_real: -0.014923 Loss_D_fake 0.058260
[23/5000][480/535][2058] Loss_D: -0.073540 Loss_G: 0.051821 Loss_D_real: -0.056831 Loss_D_fake 0.016709
[23/5000][485/535][2059] Loss_D: -0.074859 Loss_G: 0.027065 Loss_D_real: -0.030966 Loss_D_fake 0.043894
[23/5000][490/535][2060] Loss_D: -0.076041 Loss_G: 0.036840 Loss_D_real: -0.042770 Loss_D_fake 0.033271
[23/5000][495/535][2061] Loss_D: -0.076865 Loss_G: 0.044913 Loss_D_real: -0.047148 Loss_D_fake 0.029717
[23/5000][500/535][2062] Loss_D: -0.077321 Loss_G: 0.043639 Loss_D_real: -0.045099 Loss_D_fake 0.032223
[23/5000][505/535][2063] Loss_D: -0.075135 Loss_G: 0.058765 Loss_D_real: -0.056758 Loss_D_fake 0.018377
[23/5000][510/535][2064] Loss_D: -0.076341 Loss_G: 0.010142 Loss_D_real: -0.026144 Loss_D_fake 0.050197
[23/5000][515/535][2065] Loss_D: -0.069303 Loss_G: 0.058369 Loss_D_real: -0.064322 Loss_D_fake 0.004981
[23/5000][520/535][2066] Loss_D: -0.072697 Loss_G: 0.020337 Loss_D_real: -0.022234 Loss_D_fake 0.050462
[23/5000][525/535][2067] Loss_D: -0.075675 Loss_G: 0.042085 Loss_D_real: -0.045117 Loss_D_fake 0.030559
[23/5000][530/535][2068] Loss_D: -0.076022 Loss_G: 0.034261 Loss_D_real: -0.037644 Loss_D_fake 0.038378
[23/5000][535/535][2069] Loss_D: -0.080248 Loss_G: 0.033743 Loss_D_real: -0.037816 Loss_D_fake 0.042432
[24/5000][5/535][2070] Loss_D: -0.078300 Loss_G: 0.040945 Loss_D_real: -0.043620 Loss_D_fake 0.034680
[24/5000][10/535][2071] Loss_D: -0.076957 Loss_G: 0.029766 Loss_D_real: -0.034804 Loss_D_fake 0.042152
[24/5000][15/535][2072] Loss_D: -0.073001 Loss_G: 0.031110 Loss_D_real: -0.036877 Loss_D_fake 0.036124
[24/5000][20/535][2073] Loss_D: -0.076188 Loss_G: 0.036749 Loss_D_real: -0.040311 Loss_D_fake 0.035877
[24/5000][25/535][2074] Loss_D: -0.077494 Loss_G: 0.041158 Loss_D_real: -0.043783 Loss_D_fake 0.033712
[24/5000][30/535][2075] Loss_D: -0.076604 Loss_G: 0.027709 Loss_D_real: -0.038126 Loss_D_fake 0.038478
[24/5000][35/535][2076] Loss_D: -0.073820 Loss_G: 0.027345 Loss_D_real: -0.034136 Loss_D_fake 0.039683
[24/5000][40/535][2077] Loss_D: -0.074696 Loss_G: 0.054470 Loss_D_real: -0.048435 Loss_D_fake 0.026261
[24/5000][45/535][2078] Loss_D: -0.072527 Loss_G: 0.005872 Loss_D_real: -0.021968 Loss_D_fake 0.050558
[24/5000][50/535][2079] Loss_D: -0.071054 Loss_G: 0.063634 Loss_D_real: -0.067470 Loss_D_fake 0.003585
[24/5000][55/535][2080] Loss_D: -0.072826 Loss_G: 0.011856 Loss_D_real: -0.021208 Loss_D_fake 0.051618
[24/5000][60/535][2081] Loss_D: -0.075135 Loss_G: 0.055766 Loss_D_real: -0.057422 Loss_D_fake 0.017713
[24/5000][65/535][2082] Loss_D: -0.075867 Loss_G: 0.022376 Loss_D_real: -0.033106 Loss_D_fake 0.042761
[24/5000][70/535][2083] Loss_D: -0.076322 Loss_G: 0.033287 Loss_D_real: -0.039078 Loss_D_fake 0.037243
[24/5000][75/535][2084] Loss_D: -0.074009 Loss_G: 0.046499 Loss_D_real: -0.050055 Loss_D_fake 0.023954
[24/5000][80/535][2085] Loss_D: -0.075451 Loss_G: 0.028559 Loss_D_real: -0.039741 Loss_D_fake 0.035710
[24/5000][85/535][2086] Loss_D: -0.074159 Loss_G: 0.047317 Loss_D_real: -0.049443 Loss_D_fake 0.024716
[24/5000][90/535][2087] Loss_D: -0.077106 Loss_G: 0.020255 Loss_D_real: -0.034210 Loss_D_fake 0.042897
[24/5000][95/535][2088] Loss_D: -0.074785 Loss_G: 0.051591 Loss_D_real: -0.054424 Loss_D_fake 0.020361
[24/5000][100/535][2089] Loss_D: -0.073916 Loss_G: 0.029407 Loss_D_real: -0.032441 Loss_D_fake 0.041475
[24/5000][105/535][2090] Loss_D: -0.073748 Loss_G: 0.031545 Loss_D_real: -0.039138 Loss_D_fake 0.034610
[24/5000][110/535][2091] Loss_D: -0.072515 Loss_G: 0.030009 Loss_D_real: -0.033538 Loss_D_fake 0.038977
[24/5000][115/535][2092] Loss_D: -0.074724 Loss_G: 0.025657 Loss_D_real: -0.032455 Loss_D_fake 0.042269
[24/5000][120/535][2093] Loss_D: -0.075711 Loss_G: 0.036053 Loss_D_real: -0.043992 Loss_D_fake 0.031720
[24/5000][125/535][2094] Loss_D: -0.076732 Loss_G: 0.055924 Loss_D_real: -0.053705 Loss_D_fake 0.023027
[24/5000][130/535][2095] Loss_D: -0.074856 Loss_G: 0.037795 Loss_D_real: -0.038006 Loss_D_fake 0.036850
[24/5000][135/535][2096] Loss_D: -0.079264 Loss_G: 0.045518 Loss_D_real: -0.049341 Loss_D_fake 0.029923
[24/5000][140/535][2097] Loss_D: -0.075580 Loss_G: 0.017281 Loss_D_real: -0.028720 Loss_D_fake 0.046859
[24/5000][145/535][2098] Loss_D: -0.069039 Loss_G: 0.071322 Loss_D_real: -0.067831 Loss_D_fake 0.001208
[24/5000][150/535][2099] Loss_D: -0.072198 Loss_G: 0.007042 Loss_D_real: -0.017997 Loss_D_fake 0.054201
[24/5000][155/535][2100] Loss_D: -0.071711 Loss_G: 0.048996 Loss_D_real: -0.057035 Loss_D_fake 0.014676
[24/5000][160/535][2101] Loss_D: -0.076168 Loss_G: 0.031776 Loss_D_real: -0.036260 Loss_D_fake 0.039908
[24/5000][165/535][2102] Loss_D: -0.074785 Loss_G: 0.035707 Loss_D_real: -0.039718 Loss_D_fake 0.035067
[24/5000][170/535][2103] Loss_D: -0.073895 Loss_G: 0.058007 Loss_D_real: -0.055740 Loss_D_fake 0.018155
[24/5000][175/535][2104] Loss_D: -0.074356 Loss_G: 0.019174 Loss_D_real: -0.023784 Loss_D_fake 0.050572
[24/5000][180/535][2105] Loss_D: -0.073167 Loss_G: 0.056084 Loss_D_real: -0.059868 Loss_D_fake 0.013299
[24/5000][185/535][2106] Loss_D: -0.077136 Loss_G: 0.019048 Loss_D_real: -0.032099 Loss_D_fake 0.045037
[24/5000][190/535][2107] Loss_D: -0.075993 Loss_G: 0.054027 Loss_D_real: -0.059434 Loss_D_fake 0.016559
[24/5000][195/535][2108] Loss_D: -0.077164 Loss_G: 0.004194 Loss_D_real: -0.023404 Loss_D_fake 0.053760
[24/5000][200/535][2109] Loss_D: -0.073959 Loss_G: 0.044899 Loss_D_real: -0.051706 Loss_D_fake 0.022253
[24/5000][205/535][2110] Loss_D: -0.076518 Loss_G: 0.049883 Loss_D_real: -0.052368 Loss_D_fake 0.024150
[24/5000][210/535][2111] Loss_D: -0.075373 Loss_G: 0.033169 Loss_D_real: -0.033805 Loss_D_fake 0.041568
[24/5000][215/535][2112] Loss_D: -0.077454 Loss_G: 0.037721 Loss_D_real: -0.044282 Loss_D_fake 0.033172
[24/5000][220/535][2113] Loss_D: -0.076471 Loss_G: 0.051417 Loss_D_real: -0.052790 Loss_D_fake 0.023681
[24/5000][225/535][2114] Loss_D: -0.076023 Loss_G: 0.035488 Loss_D_real: -0.039667 Loss_D_fake 0.036356
[24/5000][230/535][2115] Loss_D: -0.077242 Loss_G: 0.042063 Loss_D_real: -0.044028 Loss_D_fake 0.033213
[24/5000][235/535][2116] Loss_D: -0.074170 Loss_G: 0.010279 Loss_D_real: -0.027528 Loss_D_fake 0.046642
[24/5000][240/535][2117] Loss_D: -0.068536 Loss_G: 0.061925 Loss_D_real: -0.065339 Loss_D_fake 0.003197
[24/5000][245/535][2118] Loss_D: -0.075948 Loss_G: 0.016560 Loss_D_real: -0.027351 Loss_D_fake 0.048597
[24/5000][250/535][2119] Loss_D: -0.072339 Loss_G: 0.049407 Loss_D_real: -0.054443 Loss_D_fake 0.017896
[24/5000][255/535][2120] Loss_D: -0.072113 Loss_G: 0.028135 Loss_D_real: -0.031267 Loss_D_fake 0.040847
[24/5000][260/535][2121] Loss_D: -0.075066 Loss_G: 0.044133 Loss_D_real: -0.042831 Loss_D_fake 0.032235
[24/5000][265/535][2122] Loss_D: -0.075895 Loss_G: 0.035137 Loss_D_real: -0.039909 Loss_D_fake 0.035986
[24/5000][270/535][2123] Loss_D: -0.077952 Loss_G: 0.038322 Loss_D_real: -0.042941 Loss_D_fake 0.035010
[24/5000][275/535][2124] Loss_D: -0.075685 Loss_G: 0.038217 Loss_D_real: -0.041106 Loss_D_fake 0.034578
[24/5000][280/535][2125] Loss_D: -0.077678 Loss_G: 0.033110 Loss_D_real: -0.037720 Loss_D_fake 0.039958
[24/5000][285/535][2126] Loss_D: -0.074831 Loss_G: 0.052452 Loss_D_real: -0.054668 Loss_D_fake 0.020163
[24/5000][290/535][2127] Loss_D: -0.076575 Loss_G: 0.008696 Loss_D_real: -0.024177 Loss_D_fake 0.052397
[24/5000][295/535][2128] Loss_D: -0.072010 Loss_G: 0.062507 Loss_D_real: -0.062324 Loss_D_fake 0.009686
[24/5000][300/535][2129] Loss_D: -0.072288 Loss_G: 0.026187 Loss_D_real: -0.027946 Loss_D_fake 0.044341
[24/5000][305/535][2130] Loss_D: -0.077727 Loss_G: 0.038479 Loss_D_real: -0.043725 Loss_D_fake 0.034002
[24/5000][310/535][2131] Loss_D: -0.076139 Loss_G: 0.035645 Loss_D_real: -0.040590 Loss_D_fake 0.035549
[24/5000][315/535][2132] Loss_D: -0.074934 Loss_G: 0.060998 Loss_D_real: -0.058970 Loss_D_fake 0.015964
[24/5000][320/535][2133] Loss_D: -0.076623 Loss_G: 0.020421 Loss_D_real: -0.028076 Loss_D_fake 0.048546
[24/5000][325/535][2134] Loss_D: -0.074422 Loss_G: 0.047075 Loss_D_real: -0.051741 Loss_D_fake 0.022681
[24/5000][330/535][2135] Loss_D: -0.073100 Loss_G: 0.031168 Loss_D_real: -0.034746 Loss_D_fake 0.038354
[24/5000][335/535][2136] Loss_D: -0.075232 Loss_G: 0.054774 Loss_D_real: -0.053556 Loss_D_fake 0.021675
[24/5000][340/535][2137] Loss_D: -0.075984 Loss_G: 0.023459 Loss_D_real: -0.030470 Loss_D_fake 0.045514
[24/5000][345/535][2138] Loss_D: -0.072812 Loss_G: 0.063955 Loss_D_real: -0.062588 Loss_D_fake 0.010224
[24/5000][350/535][2139] Loss_D: -0.072192 Loss_G: 0.010501 Loss_D_real: -0.019935 Loss_D_fake 0.052257
[24/5000][355/535][2140] Loss_D: -0.075072 Loss_G: 0.046100 Loss_D_real: -0.048441 Loss_D_fake 0.026631
[24/5000][360/535][2141] Loss_D: -0.075345 Loss_G: 0.038388 Loss_D_real: -0.041549 Loss_D_fake 0.033797
[24/5000][365/535][2142] Loss_D: -0.073635 Loss_G: 0.028663 Loss_D_real: -0.035582 Loss_D_fake 0.038053
[24/5000][370/535][2143] Loss_D: -0.074896 Loss_G: 0.026366 Loss_D_real: -0.033960 Loss_D_fake 0.040936
[24/5000][375/535][2144] Loss_D: -0.075342 Loss_G: 0.041004 Loss_D_real: -0.046528 Loss_D_fake 0.028814
[24/5000][380/535][2145] Loss_D: -0.077338 Loss_G: 0.041799 Loss_D_real: -0.044112 Loss_D_fake 0.033226
[24/5000][385/535][2146] Loss_D: -0.075603 Loss_G: 0.018336 Loss_D_real: -0.028302 Loss_D_fake 0.047301
[24/5000][390/535][2147] Loss_D: -0.072551 Loss_G: 0.053546 Loss_D_real: -0.052524 Loss_D_fake 0.020027
[24/5000][395/535][2148] Loss_D: -0.072279 Loss_G: 0.008234 Loss_D_real: -0.016792 Loss_D_fake 0.055487
[24/5000][400/535][2149] Loss_D: -0.071800 Loss_G: 0.039971 Loss_D_real: -0.044133 Loss_D_fake 0.027667
[24/5000][405/535][2150] Loss_D: -0.075077 Loss_G: 0.019658 Loss_D_real: -0.030356 Loss_D_fake 0.044721
[24/5000][410/535][2151] Loss_D: -0.073825 Loss_G: 0.046759 Loss_D_real: -0.048607 Loss_D_fake 0.025217
[24/5000][415/535][2152] Loss_D: -0.078053 Loss_G: 0.020988 Loss_D_real: -0.036685 Loss_D_fake 0.041368
[24/5000][420/535][2153] Loss_D: -0.073347 Loss_G: 0.057061 Loss_D_real: -0.060839 Loss_D_fake 0.012508
[24/5000][425/535][2154] Loss_D: -0.074669 Loss_G: 0.006393 Loss_D_real: -0.025331 Loss_D_fake 0.049339
[24/5000][430/535][2155] Loss_D: -0.072009 Loss_G: 0.060545 Loss_D_real: -0.062571 Loss_D_fake 0.009438
[24/5000][435/535][2156] Loss_D: -0.072532 Loss_G: 0.017048 Loss_D_real: -0.024465 Loss_D_fake 0.048067
[24/5000][440/535][2157] Loss_D: -0.072541 Loss_G: 0.045382 Loss_D_real: -0.050695 Loss_D_fake 0.021846
[24/5000][445/535][2158] Loss_D: -0.072326 Loss_G: 0.036063 Loss_D_real: -0.038424 Loss_D_fake 0.033902
[24/5000][450/535][2159] Loss_D: -0.076241 Loss_G: 0.034192 Loss_D_real: -0.037242 Loss_D_fake 0.038999
[24/5000][455/535][2160] Loss_D: -0.079075 Loss_G: 0.040520 Loss_D_real: -0.044502 Loss_D_fake 0.034574
[24/5000][460/535][2161] Loss_D: -0.075044 Loss_G: 0.045216 Loss_D_real: -0.046037 Loss_D_fake 0.029008
[24/5000][465/535][2162] Loss_D: -0.074646 Loss_G: 0.048812 Loss_D_real: -0.046701 Loss_D_fake 0.027945
[24/5000][470/535][2163] Loss_D: -0.073021 Loss_G: 0.012183 Loss_D_real: -0.021921 Loss_D_fake 0.051100
[24/5000][475/535][2164] Loss_D: -0.074072 Loss_G: 0.059782 Loss_D_real: -0.060939 Loss_D_fake 0.013133
[24/5000][480/535][2165] Loss_D: -0.077529 Loss_G: 0.024842 Loss_D_real: -0.028621 Loss_D_fake 0.048909
[24/5000][485/535][2166] Loss_D: -0.072072 Loss_G: 0.045313 Loss_D_real: -0.047733 Loss_D_fake 0.024338
[24/5000][490/535][2167] Loss_D: -0.073069 Loss_G: 0.021112 Loss_D_real: -0.026909 Loss_D_fake 0.046160
[24/5000][495/535][2168] Loss_D: -0.075514 Loss_G: 0.054141 Loss_D_real: -0.053186 Loss_D_fake 0.022328
[24/5000][500/535][2169] Loss_D: -0.076229 Loss_G: 0.019670 Loss_D_real: -0.028311 Loss_D_fake 0.047917
[24/5000][505/535][2170] Loss_D: -0.074414 Loss_G: 0.042844 Loss_D_real: -0.047631 Loss_D_fake 0.026783
[24/5000][510/535][2171] Loss_D: -0.072622 Loss_G: 0.016582 Loss_D_real: -0.026979 Loss_D_fake 0.045643
[24/5000][515/535][2172] Loss_D: -0.074806 Loss_G: 0.043687 Loss_D_real: -0.047280 Loss_D_fake 0.027526
[24/5000][520/535][2173] Loss_D: -0.075754 Loss_G: 0.034354 Loss_D_real: -0.037614 Loss_D_fake 0.038139
[24/5000][525/535][2174] Loss_D: -0.074952 Loss_G: 0.028908 Loss_D_real: -0.036631 Loss_D_fake 0.038321
[24/5000][530/535][2175] Loss_D: -0.076471 Loss_G: 0.041589 Loss_D_real: -0.043476 Loss_D_fake 0.032995
[24/5000][535/535][2176] Loss_D: -0.074726 Loss_G: 0.027042 Loss_D_real: -0.034456 Loss_D_fake 0.040270
[25/5000][5/535][2177] Loss_D: -0.073645 Loss_G: 0.040688 Loss_D_real: -0.044895 Loss_D_fake 0.028750
[25/5000][10/535][2178] Loss_D: -0.073593 Loss_G: 0.013608 Loss_D_real: -0.026169 Loss_D_fake 0.047424
[25/5000][15/535][2179] Loss_D: -0.072531 Loss_G: 0.065202 Loss_D_real: -0.064204 Loss_D_fake 0.008327
[25/5000][20/535][2180] Loss_D: -0.072067 Loss_G: 0.006686 Loss_D_real: -0.017950 Loss_D_fake 0.054117
[25/5000][25/535][2181] Loss_D: -0.072579 Loss_G: 0.042881 Loss_D_real: -0.048709 Loss_D_fake 0.023870
[25/5000][30/535][2182] Loss_D: -0.073751 Loss_G: 0.014718 Loss_D_real: -0.024750 Loss_D_fake 0.049001
[25/5000][35/535][2183] Loss_D: -0.072661 Loss_G: 0.055513 Loss_D_real: -0.055149 Loss_D_fake 0.017511
[25/5000][40/535][2184] Loss_D: -0.071561 Loss_G: 0.031095 Loss_D_real: -0.031188 Loss_D_fake 0.040373
[25/5000][45/535][2185] Loss_D: -0.073906 Loss_G: 0.022525 Loss_D_real: -0.034388 Loss_D_fake 0.039518
[25/5000][50/535][2186] Loss_D: -0.075913 Loss_G: 0.039067 Loss_D_real: -0.046882 Loss_D_fake 0.029031
[25/5000][55/535][2187] Loss_D: -0.076033 Loss_G: 0.039165 Loss_D_real: -0.045110 Loss_D_fake 0.030923
[25/5000][60/535][2188] Loss_D: -0.074799 Loss_G: 0.024449 Loss_D_real: -0.034653 Loss_D_fake 0.040146
[25/5000][65/535][2189] Loss_D: -0.073665 Loss_G: 0.054496 Loss_D_real: -0.057471 Loss_D_fake 0.016194
[25/5000][70/535][2190] Loss_D: -0.073258 Loss_G: 0.013694 Loss_D_real: -0.025726 Loss_D_fake 0.047532
[25/5000][75/535][2191] Loss_D: -0.072929 Loss_G: 0.042398 Loss_D_real: -0.050677 Loss_D_fake 0.022252
[25/5000][80/535][2192] Loss_D: -0.073123 Loss_G: 0.037274 Loss_D_real: -0.041680 Loss_D_fake 0.031443
[25/5000][85/535][2193] Loss_D: -0.076131 Loss_G: 0.035006 Loss_D_real: -0.036172 Loss_D_fake 0.039959
[25/5000][90/535][2194] Loss_D: -0.072898 Loss_G: 0.036729 Loss_D_real: -0.039762 Loss_D_fake 0.033136
[25/5000][95/535][2195] Loss_D: -0.075584 Loss_G: 0.044572 Loss_D_real: -0.043567 Loss_D_fake 0.032016
[25/5000][100/535][2196] Loss_D: -0.072334 Loss_G: 0.028941 Loss_D_real: -0.036801 Loss_D_fake 0.035533
[25/5000][105/535][2197] Loss_D: -0.076762 Loss_G: 0.048463 Loss_D_real: -0.050342 Loss_D_fake 0.026420
[25/5000][110/535][2198] Loss_D: -0.072524 Loss_G: 0.001055 Loss_D_real: -0.018662 Loss_D_fake 0.053862
[25/5000][115/535][2199] Loss_D: -0.069618 Loss_G: 0.061459 Loss_D_real: -0.066102 Loss_D_fake 0.003517
[25/5000][120/535][2200] Loss_D: -0.073036 Loss_G: 0.015707 Loss_D_real: -0.017439 Loss_D_fake 0.055597
[25/5000][125/535][2201] Loss_D: -0.072533 Loss_G: 0.049193 Loss_D_real: -0.053531 Loss_D_fake 0.019002
[25/5000][130/535][2202] Loss_D: -0.073712 Loss_G: 0.020402 Loss_D_real: -0.028900 Loss_D_fake 0.044812
[25/5000][135/535][2203] Loss_D: -0.071615 Loss_G: 0.045209 Loss_D_real: -0.043641 Loss_D_fake 0.027973
[25/5000][140/535][2204] Loss_D: -0.077137 Loss_G: 0.018455 Loss_D_real: -0.031589 Loss_D_fake 0.045548
[25/5000][145/535][2205] Loss_D: -0.074093 Loss_G: 0.054791 Loss_D_real: -0.056902 Loss_D_fake 0.017191
[25/5000][150/535][2206] Loss_D: -0.073298 Loss_G: 0.008805 Loss_D_real: -0.020521 Loss_D_fake 0.052777
[25/5000][155/535][2207] Loss_D: -0.071877 Loss_G: 0.058383 Loss_D_real: -0.057560 Loss_D_fake 0.014316
[25/5000][160/535][2208] Loss_D: -0.073055 Loss_G: 0.021693 Loss_D_real: -0.027508 Loss_D_fake 0.045547
[25/5000][165/535][2209] Loss_D: -0.076744 Loss_G: 0.046436 Loss_D_real: -0.049809 Loss_D_fake 0.026936
[25/5000][170/535][2210] Loss_D: -0.072407 Loss_G: 0.046130 Loss_D_real: -0.044448 Loss_D_fake 0.027959
[25/5000][175/535][2211] Loss_D: -0.077835 Loss_G: 0.020936 Loss_D_real: -0.034749 Loss_D_fake 0.043086
[25/5000][180/535][2212] Loss_D: -0.071867 Loss_G: 0.050368 Loss_D_real: -0.050331 Loss_D_fake 0.021536
[25/5000][185/535][2213] Loss_D: -0.075515 Loss_G: 0.036994 Loss_D_real: -0.041834 Loss_D_fake 0.033681
[25/5000][190/535][2214] Loss_D: -0.069713 Loss_G: 0.008304 Loss_D_real: -0.018848 Loss_D_fake 0.050865
[25/5000][195/535][2215] Loss_D: -0.072371 Loss_G: 0.057103 Loss_D_real: -0.059461 Loss_D_fake 0.012910
[25/5000][200/535][2216] Loss_D: -0.072113 Loss_G: 0.014213 Loss_D_real: -0.023552 Loss_D_fake 0.048561
[25/5000][205/535][2217] Loss_D: -0.072556 Loss_G: 0.049763 Loss_D_real: -0.051283 Loss_D_fake 0.021273
[25/5000][210/535][2218] Loss_D: -0.073996 Loss_G: 0.015398 Loss_D_real: -0.023464 Loss_D_fake 0.050531
[25/5000][215/535][2219] Loss_D: -0.073680 Loss_G: 0.050865 Loss_D_real: -0.051886 Loss_D_fake 0.021794
[25/5000][220/535][2220] Loss_D: -0.074698 Loss_G: 0.035014 Loss_D_real: -0.040676 Loss_D_fake 0.034022
[25/5000][225/535][2221] Loss_D: -0.074246 Loss_G: 0.029771 Loss_D_real: -0.037256 Loss_D_fake 0.036990
[25/5000][230/535][2222] Loss_D: -0.074249 Loss_G: 0.032181 Loss_D_real: -0.040747 Loss_D_fake 0.033502
[25/5000][235/535][2223] Loss_D: -0.076550 Loss_G: 0.037552 Loss_D_real: -0.043056 Loss_D_fake 0.033493
[25/5000][240/535][2224] Loss_D: -0.075869 Loss_G: 0.034018 Loss_D_real: -0.040105 Loss_D_fake 0.035763
[25/5000][245/535][2225] Loss_D: -0.076804 Loss_G: 0.047868 Loss_D_real: -0.047910 Loss_D_fake 0.028893
[25/5000][250/535][2226] Loss_D: -0.071812 Loss_G: 0.008230 Loss_D_real: -0.019514 Loss_D_fake 0.052297
[25/5000][255/535][2227] Loss_D: -0.072387 Loss_G: 0.051537 Loss_D_real: -0.053719 Loss_D_fake 0.018669
[25/5000][260/535][2228] Loss_D: -0.071130 Loss_G: 0.005390 Loss_D_real: -0.015863 Loss_D_fake 0.055267
[25/5000][265/535][2229] Loss_D: -0.071518 Loss_G: 0.043901 Loss_D_real: -0.048264 Loss_D_fake 0.023254
[25/5000][270/535][2230] Loss_D: -0.074007 Loss_G: 0.023847 Loss_D_real: -0.032668 Loss_D_fake 0.041339
[25/5000][275/535][2231] Loss_D: -0.073719 Loss_G: 0.040150 Loss_D_real: -0.044282 Loss_D_fake 0.029437
[25/5000][280/535][2232] Loss_D: -0.067882 Loss_G: 0.051002 Loss_D_real: -0.050006 Loss_D_fake 0.017877
[25/5000][285/535][2233] Loss_D: -0.073133 Loss_G: 0.021067 Loss_D_real: -0.029546 Loss_D_fake 0.043587
[25/5000][290/535][2234] Loss_D: -0.073850 Loss_G: 0.036308 Loss_D_real: -0.043825 Loss_D_fake 0.030025
[25/5000][295/535][2235] Loss_D: -0.073335 Loss_G: 0.022805 Loss_D_real: -0.032127 Loss_D_fake 0.041208
[25/5000][300/535][2236] Loss_D: -0.074892 Loss_G: 0.026951 Loss_D_real: -0.039241 Loss_D_fake 0.035650
[25/5000][305/535][2237] Loss_D: -0.073178 Loss_G: 0.053823 Loss_D_real: -0.053816 Loss_D_fake 0.019363
[25/5000][310/535][2238] Loss_D: -0.070002 Loss_G: 0.004808 Loss_D_real: -0.014148 Loss_D_fake 0.055854
[25/5000][315/535][2239] Loss_D: -0.073939 Loss_G: 0.050798 Loss_D_real: -0.052593 Loss_D_fake 0.021346
[25/5000][320/535][2240] Loss_D: -0.076338 Loss_G: 0.015838 Loss_D_real: -0.025512 Loss_D_fake 0.050827
[25/5000][325/535][2241] Loss_D: -0.072108 Loss_G: 0.059536 Loss_D_real: -0.058125 Loss_D_fake 0.013983
[25/5000][330/535][2242] Loss_D: -0.076521 Loss_G: 0.034767 Loss_D_real: -0.035769 Loss_D_fake 0.040752
[25/5000][335/535][2243] Loss_D: -0.070433 Loss_G: 0.023929 Loss_D_real: -0.032534 Loss_D_fake 0.037899
[25/5000][340/535][2244] Loss_D: -0.073351 Loss_G: 0.039547 Loss_D_real: -0.042991 Loss_D_fake 0.030360
[25/5000][345/535][2245] Loss_D: -0.076941 Loss_G: 0.040773 Loss_D_real: -0.040641 Loss_D_fake 0.036300
[25/5000][350/535][2246] Loss_D: -0.072489 Loss_G: 0.013631 Loss_D_real: -0.028331 Loss_D_fake 0.044157
[25/5000][355/535][2247] Loss_D: -0.071472 Loss_G: 0.052374 Loss_D_real: -0.052132 Loss_D_fake 0.019339
[25/5000][360/535][2248] Loss_D: -0.073602 Loss_G: 0.014237 Loss_D_real: -0.025089 Loss_D_fake 0.048514
[25/5000][365/535][2249] Loss_D: -0.072215 Loss_G: 0.043549 Loss_D_real: -0.046010 Loss_D_fake 0.026205
[25/5000][370/535][2250] Loss_D: -0.075657 Loss_G: 0.030368 Loss_D_real: -0.036850 Loss_D_fake 0.038807
[25/5000][375/535][2251] Loss_D: -0.075416 Loss_G: 0.022391 Loss_D_real: -0.036119 Loss_D_fake 0.039297
[25/5000][380/535][2252] Loss_D: -0.070853 Loss_G: 0.051669 Loss_D_real: -0.053061 Loss_D_fake 0.017792
[25/5000][385/535][2253] Loss_D: -0.074952 Loss_G: 0.012846 Loss_D_real: -0.025218 Loss_D_fake 0.049734
[25/5000][390/535][2254] Loss_D: -0.072878 Loss_G: 0.059402 Loss_D_real: -0.060638 Loss_D_fake 0.012240
[25/5000][395/535][2255] Loss_D: -0.070410 Loss_G: 0.022543 Loss_D_real: -0.026588 Loss_D_fake 0.043822
[25/5000][400/535][2256] Loss_D: -0.074023 Loss_G: 0.039496 Loss_D_real: -0.046843 Loss_D_fake 0.027179
[25/5000][405/535][2257] Loss_D: -0.073363 Loss_G: 0.046631 Loss_D_real: -0.047819 Loss_D_fake 0.025544
[25/5000][410/535][2258] Loss_D: -0.073628 Loss_G: 0.045416 Loss_D_real: -0.044867 Loss_D_fake 0.028761
[25/5000][415/535][2259] Loss_D: -0.074632 Loss_G: 0.032069 Loss_D_real: -0.038776 Loss_D_fake 0.035856
[25/5000][420/535][2260] Loss_D: -0.074205 Loss_G: 0.042583 Loss_D_real: -0.043659 Loss_D_fake 0.030546
[25/5000][425/535][2261] Loss_D: -0.075085 Loss_G: 0.014500 Loss_D_real: -0.028514 Loss_D_fake 0.046571
[25/5000][430/535][2262] Loss_D: -0.071872 Loss_G: 0.060024 Loss_D_real: -0.062004 Loss_D_fake 0.009867
[25/5000][435/535][2263] Loss_D: -0.073203 Loss_G: 0.009776 Loss_D_real: -0.023095 Loss_D_fake 0.050108
[25/5000][440/535][2264] Loss_D: -0.072722 Loss_G: 0.055893 Loss_D_real: -0.061817 Loss_D_fake 0.010905
[25/5000][445/535][2265] Loss_D: -0.074269 Loss_G: 0.031711 Loss_D_real: -0.033115 Loss_D_fake 0.041155
[25/5000][450/535][2266] Loss_D: -0.074752 Loss_G: 0.031174 Loss_D_real: -0.032678 Loss_D_fake 0.042074
[25/5000][455/535][2267] Loss_D: -0.073465 Loss_G: 0.040057 Loss_D_real: -0.038946 Loss_D_fake 0.034519
[25/5000][460/535][2268] Loss_D: -0.072488 Loss_G: 0.012786 Loss_D_real: -0.019792 Loss_D_fake 0.052697
[25/5000][465/535][2269] Loss_D: -0.076269 Loss_G: 0.054795 Loss_D_real: -0.056329 Loss_D_fake 0.019940
[25/5000][470/535][2270] Loss_D: -0.071420 Loss_G: 0.017055 Loss_D_real: -0.024077 Loss_D_fake 0.047343
[25/5000][475/535][2271] Loss_D: -0.072354 Loss_G: 0.060198 Loss_D_real: -0.056761 Loss_D_fake 0.015592
[25/5000][480/535][2272] Loss_D: -0.071041 Loss_G: 0.006806 Loss_D_real: -0.017953 Loss_D_fake 0.053088
[25/5000][485/535][2273] Loss_D: -0.072828 Loss_G: 0.047838 Loss_D_real: -0.055017 Loss_D_fake 0.017812
[25/5000][490/535][2274] Loss_D: -0.074317 Loss_G: 0.018919 Loss_D_real: -0.028524 Loss_D_fake 0.045793
[25/5000][495/535][2275] Loss_D: -0.070293 Loss_G: 0.028044 Loss_D_real: -0.032786 Loss_D_fake 0.037508
[25/5000][500/535][2276] Loss_D: -0.074445 Loss_G: 0.042395 Loss_D_real: -0.044727 Loss_D_fake 0.029718
[25/5000][505/535][2277] Loss_D: -0.073703 Loss_G: 0.026378 Loss_D_real: -0.034425 Loss_D_fake 0.039277
[25/5000][510/535][2278] Loss_D: -0.072905 Loss_G: 0.027865 Loss_D_real: -0.037480 Loss_D_fake 0.035425
[25/5000][515/535][2279] Loss_D: -0.074345 Loss_G: 0.029336 Loss_D_real: -0.035765 Loss_D_fake 0.038580
[25/5000][520/535][2280] Loss_D: -0.071661 Loss_G: 0.035714 Loss_D_real: -0.037357 Loss_D_fake 0.034304
[25/5000][525/535][2281] Loss_D: -0.074732 Loss_G: 0.020100 Loss_D_real: -0.031501 Loss_D_fake 0.043230
[25/5000][530/535][2282] Loss_D: -0.072181 Loss_G: 0.053734 Loss_D_real: -0.051695 Loss_D_fake 0.020486
[25/5000][535/535][2283] Loss_D: -0.074851 Loss_G: 0.014346 Loss_D_real: -0.025798 Loss_D_fake 0.049052
[26/5000][5/535][2284] Loss_D: -0.071996 Loss_G: 0.052042 Loss_D_real: -0.052970 Loss_D_fake 0.019026
[26/5000][10/535][2285] Loss_D: -0.070801 Loss_G: 0.006325 Loss_D_real: -0.018983 Loss_D_fake 0.051818
[26/5000][15/535][2286] Loss_D: -0.071264 Loss_G: 0.047516 Loss_D_real: -0.054350 Loss_D_fake 0.016914
[26/5000][20/535][2287] Loss_D: -0.073334 Loss_G: 0.028220 Loss_D_real: -0.035397 Loss_D_fake 0.037936
[26/5000][25/535][2288] Loss_D: -0.072840 Loss_G: 0.032652 Loss_D_real: -0.037203 Loss_D_fake 0.035637
[26/5000][30/535][2289] Loss_D: -0.077192 Loss_G: 0.044192 Loss_D_real: -0.046227 Loss_D_fake 0.030965
[26/5000][35/535][2290] Loss_D: -0.074049 Loss_G: 0.032939 Loss_D_real: -0.037487 Loss_D_fake 0.036562
[26/5000][40/535][2291] Loss_D: -0.075359 Loss_G: 0.032749 Loss_D_real: -0.041164 Loss_D_fake 0.034196
[26/5000][45/535][2292] Loss_D: -0.074583 Loss_G: 0.046496 Loss_D_real: -0.045132 Loss_D_fake 0.029451
[26/5000][50/535][2293] Loss_D: -0.076631 Loss_G: 0.049573 Loss_D_real: -0.051422 Loss_D_fake 0.025208
[26/5000][55/535][2294] Loss_D: -0.074605 Loss_G: 0.009025 Loss_D_real: -0.023370 Loss_D_fake 0.051235
[26/5000][60/535][2295] Loss_D: -0.067956 Loss_G: 0.068649 Loss_D_real: -0.069180 Loss_D_fake -0.001224
[26/5000][65/535][2296] Loss_D: -0.068536 Loss_G: 0.006956 Loss_D_real: -0.014751 Loss_D_fake 0.053785
[26/5000][70/535][2297] Loss_D: -0.068725 Loss_G: 0.043961 Loss_D_real: -0.048103 Loss_D_fake 0.020622
[26/5000][75/535][2298] Loss_D: -0.072138 Loss_G: 0.030880 Loss_D_real: -0.039718 Loss_D_fake 0.032420
[26/5000][80/535][2299] Loss_D: -0.073437 Loss_G: 0.039381 Loss_D_real: -0.045348 Loss_D_fake 0.028089
[26/5000][85/535][2300] Loss_D: -0.075076 Loss_G: 0.030015 Loss_D_real: -0.038496 Loss_D_fake 0.036580
[26/5000][90/535][2301] Loss_D: -0.074724 Loss_G: 0.034848 Loss_D_real: -0.039596 Loss_D_fake 0.035128
[26/5000][95/535][2302] Loss_D: -0.072181 Loss_G: 0.027599 Loss_D_real: -0.033885 Loss_D_fake 0.038296
[26/5000][100/535][2303] Loss_D: -0.070920 Loss_G: 0.059440 Loss_D_real: -0.057834 Loss_D_fake 0.013086
[26/5000][105/535][2304] Loss_D: -0.069447 Loss_G: 0.008518 Loss_D_real: -0.019008 Loss_D_fake 0.050439
[26/5000][110/535][2305] Loss_D: -0.074106 Loss_G: 0.047503 Loss_D_real: -0.056435 Loss_D_fake 0.017671
[26/5000][115/535][2306] Loss_D: -0.072532 Loss_G: 0.033454 Loss_D_real: -0.035203 Loss_D_fake 0.037330
[26/5000][120/535][2307] Loss_D: -0.073392 Loss_G: 0.025614 Loss_D_real: -0.037556 Loss_D_fake 0.035836
[26/5000][125/535][2308] Loss_D: -0.072524 Loss_G: 0.030727 Loss_D_real: -0.043799 Loss_D_fake 0.028725
[26/5000][130/535][2309] Loss_D: -0.074533 Loss_G: 0.050894 Loss_D_real: -0.050813 Loss_D_fake 0.023720
[26/5000][135/535][2310] Loss_D: -0.070510 Loss_G: 0.016733 Loss_D_real: -0.030093 Loss_D_fake 0.040417
[26/5000][140/535][2311] Loss_D: -0.071475 Loss_G: 0.057752 Loss_D_real: -0.057822 Loss_D_fake 0.013653
[26/5000][145/535][2312] Loss_D: -0.071470 Loss_G: 0.007942 Loss_D_real: -0.021607 Loss_D_fake 0.049863
[26/5000][150/535][2313] Loss_D: -0.069528 Loss_G: 0.047588 Loss_D_real: -0.053233 Loss_D_fake 0.016295
[26/5000][155/535][2314] Loss_D: -0.073886 Loss_G: 0.045981 Loss_D_real: -0.044858 Loss_D_fake 0.029029
[26/5000][160/535][2315] Loss_D: -0.071800 Loss_G: 0.019068 Loss_D_real: -0.033252 Loss_D_fake 0.038549
[26/5000][165/535][2316] Loss_D: -0.072322 Loss_G: 0.058542 Loss_D_real: -0.060034 Loss_D_fake 0.012287
[26/5000][170/535][2317] Loss_D: -0.070468 Loss_G: 0.014933 Loss_D_real: -0.025762 Loss_D_fake 0.044706
[26/5000][175/535][2318] Loss_D: -0.073437 Loss_G: 0.047731 Loss_D_real: -0.045489 Loss_D_fake 0.027948
[26/5000][180/535][2319] Loss_D: -0.074850 Loss_G: 0.034442 Loss_D_real: -0.039779 Loss_D_fake 0.035072
[26/5000][185/535][2320] Loss_D: -0.073739 Loss_G: 0.036155 Loss_D_real: -0.041347 Loss_D_fake 0.032392
[26/5000][190/535][2321] Loss_D: -0.074392 Loss_G: 0.052755 Loss_D_real: -0.051739 Loss_D_fake 0.022653
[26/5000][195/535][2322] Loss_D: -0.075664 Loss_G: 0.021957 Loss_D_real: -0.032478 Loss_D_fake 0.043186
[26/5000][200/535][2323] Loss_D: -0.072597 Loss_G: 0.052328 Loss_D_real: -0.058294 Loss_D_fake 0.014303
[26/5000][205/535][2324] Loss_D: -0.071550 Loss_G: 0.011931 Loss_D_real: -0.020868 Loss_D_fake 0.050682
[26/5000][210/535][2325] Loss_D: -0.068706 Loss_G: 0.054181 Loss_D_real: -0.057496 Loss_D_fake 0.011211
[26/5000][215/535][2326] Loss_D: -0.072857 Loss_G: 0.026425 Loss_D_real: -0.034301 Loss_D_fake 0.038557
[26/5000][220/535][2327] Loss_D: -0.074896 Loss_G: 0.016889 Loss_D_real: -0.031498 Loss_D_fake 0.043398
[26/5000][225/535][2328] Loss_D: -0.070419 Loss_G: 0.051938 Loss_D_real: -0.056892 Loss_D_fake 0.013527
[26/5000][230/535][2329] Loss_D: -0.076072 Loss_G: 0.026927 Loss_D_real: -0.036349 Loss_D_fake 0.039722
[26/5000][235/535][2330] Loss_D: -0.071415 Loss_G: 0.056686 Loss_D_real: -0.057773 Loss_D_fake 0.013642
[26/5000][240/535][2331] Loss_D: -0.071958 Loss_G: 0.008435 Loss_D_real: -0.024048 Loss_D_fake 0.047910
[26/5000][245/535][2332] Loss_D: -0.069978 Loss_G: 0.042022 Loss_D_real: -0.051232 Loss_D_fake 0.018746
[26/5000][250/535][2333] Loss_D: -0.074969 Loss_G: 0.029073 Loss_D_real: -0.038173 Loss_D_fake 0.036796
[26/5000][255/535][2334] Loss_D: -0.072735 Loss_G: 0.038236 Loss_D_real: -0.041372 Loss_D_fake 0.031362
[26/5000][260/535][2335] Loss_D: -0.070315 Loss_G: 0.044484 Loss_D_real: -0.046278 Loss_D_fake 0.024038
[26/5000][265/535][2336] Loss_D: -0.074794 Loss_G: 0.014675 Loss_D_real: -0.024556 Loss_D_fake 0.050238
[26/5000][270/535][2337] Loss_D: -0.072686 Loss_G: 0.040576 Loss_D_real: -0.045116 Loss_D_fake 0.027570
[26/5000][275/535][2338] Loss_D: -0.070336 Loss_G: 0.052248 Loss_D_real: -0.052594 Loss_D_fake 0.017742
[26/5000][280/535][2339] Loss_D: -0.071704 Loss_G: 0.010684 Loss_D_real: -0.022194 Loss_D_fake 0.049510
[26/5000][285/535][2340] Loss_D: -0.070242 Loss_G: 0.047285 Loss_D_real: -0.051180 Loss_D_fake 0.019063
[26/5000][290/535][2341] Loss_D: -0.072813 Loss_G: 0.020260 Loss_D_real: -0.031093 Loss_D_fake 0.041720
[26/5000][295/535][2342] Loss_D: -0.070208 Loss_G: 0.020916 Loss_D_real: -0.039088 Loss_D_fake 0.031120
[26/5000][300/535][2343] Loss_D: -0.074108 Loss_G: 0.038788 Loss_D_real: -0.044651 Loss_D_fake 0.029457
[26/5000][305/535][2344] Loss_D: -0.074275 Loss_G: 0.030031 Loss_D_real: -0.036397 Loss_D_fake 0.037878
[26/5000][310/535][2345] Loss_D: -0.072853 Loss_G: 0.030662 Loss_D_real: -0.041140 Loss_D_fake 0.031713
[26/5000][315/535][2346] Loss_D: -0.073397 Loss_G: 0.035419 Loss_D_real: -0.041183 Loss_D_fake 0.032214
[26/5000][320/535][2347] Loss_D: -0.072940 Loss_G: 0.019721 Loss_D_real: -0.025997 Loss_D_fake 0.046942
[26/5000][325/535][2348] Loss_D: -0.073031 Loss_G: 0.030963 Loss_D_real: -0.037330 Loss_D_fake 0.035701
[26/5000][330/535][2349] Loss_D: -0.074611 Loss_G: 0.040529 Loss_D_real: -0.040522 Loss_D_fake 0.034089
[26/5000][335/535][2350] Loss_D: -0.074844 Loss_G: 0.026296 Loss_D_real: -0.037160 Loss_D_fake 0.037684
[26/5000][340/535][2351] Loss_D: -0.069135 Loss_G: 0.069382 Loss_D_real: -0.063517 Loss_D_fake 0.005618
[26/5000][345/535][2352] Loss_D: -0.069397 Loss_G: 0.011384 Loss_D_real: -0.018096 Loss_D_fake 0.051301
[26/5000][350/535][2353] Loss_D: -0.069706 Loss_G: 0.044822 Loss_D_real: -0.049519 Loss_D_fake 0.020186
[26/5000][355/535][2354] Loss_D: -0.071969 Loss_G: 0.028725 Loss_D_real: -0.033334 Loss_D_fake 0.038635
[26/5000][360/535][2355] Loss_D: -0.071021 Loss_G: 0.060336 Loss_D_real: -0.058475 Loss_D_fake 0.012546
[26/5000][365/535][2356] Loss_D: -0.072005 Loss_G: 0.013871 Loss_D_real: -0.023404 Loss_D_fake 0.048601
[26/5000][370/535][2357] Loss_D: -0.073105 Loss_G: 0.049864 Loss_D_real: -0.048062 Loss_D_fake 0.025043
[26/5000][375/535][2358] Loss_D: -0.071466 Loss_G: 0.045195 Loss_D_real: -0.043278 Loss_D_fake 0.028188
[26/5000][380/535][2359] Loss_D: -0.072111 Loss_G: 0.020083 Loss_D_real: -0.023344 Loss_D_fake 0.048767
[26/5000][385/535][2360] Loss_D: -0.071788 Loss_G: 0.060699 Loss_D_real: -0.063944 Loss_D_fake 0.007843
[26/5000][390/535][2361] Loss_D: -0.067109 Loss_G: -0.000076 Loss_D_real: -0.015043 Loss_D_fake 0.052066
[26/5000][395/535][2362] Loss_D: -0.070956 Loss_G: 0.045253 Loss_D_real: -0.048810 Loss_D_fake 0.022146
[26/5000][400/535][2363] Loss_D: -0.069964 Loss_G: 0.024978 Loss_D_real: -0.027356 Loss_D_fake 0.042608
[26/5000][405/535][2364] Loss_D: -0.073294 Loss_G: 0.029378 Loss_D_real: -0.039574 Loss_D_fake 0.033720
[26/5000][410/535][2365] Loss_D: -0.073920 Loss_G: 0.051822 Loss_D_real: -0.054568 Loss_D_fake 0.019353
[26/5000][415/535][2366] Loss_D: -0.070746 Loss_G: 0.003340 Loss_D_real: -0.016073 Loss_D_fake 0.054673
[26/5000][420/535][2367] Loss_D: -0.073369 Loss_G: 0.057190 Loss_D_real: -0.064938 Loss_D_fake 0.008431
[26/5000][425/535][2368] Loss_D: -0.071974 Loss_G: 0.025290 Loss_D_real: -0.027990 Loss_D_fake 0.043984
[26/5000][430/535][2369] Loss_D: -0.069526 Loss_G: 0.043937 Loss_D_real: -0.045442 Loss_D_fake 0.024084
[26/5000][435/535][2370] Loss_D: -0.074190 Loss_G: 0.018696 Loss_D_real: -0.031608 Loss_D_fake 0.042582
[26/5000][440/535][2371] Loss_D: -0.075503 Loss_G: 0.042502 Loss_D_real: -0.044828 Loss_D_fake 0.030675
[26/5000][445/535][2372] Loss_D: -0.073283 Loss_G: 0.036271 Loss_D_real: -0.041546 Loss_D_fake 0.031737
[26/5000][450/535][2373] Loss_D: -0.072965 Loss_G: 0.037062 Loss_D_real: -0.041282 Loss_D_fake 0.031683
[26/5000][455/535][2374] Loss_D: -0.071291 Loss_G: 0.033930 Loss_D_real: -0.040602 Loss_D_fake 0.030689
[26/5000][460/535][2375] Loss_D: -0.073117 Loss_G: 0.044880 Loss_D_real: -0.043158 Loss_D_fake 0.029959
[26/5000][465/535][2376] Loss_D: -0.069958 Loss_G: 0.005924 Loss_D_real: -0.019693 Loss_D_fake 0.050265
[26/5000][470/535][2377] Loss_D: -0.070109 Loss_G: 0.048333 Loss_D_real: -0.054703 Loss_D_fake 0.015406
[26/5000][475/535][2378] Loss_D: -0.071810 Loss_G: 0.017290 Loss_D_real: -0.032046 Loss_D_fake 0.039764
[26/5000][480/535][2379] Loss_D: -0.070643 Loss_G: 0.057304 Loss_D_real: -0.058566 Loss_D_fake 0.012077
[26/5000][485/535][2380] Loss_D: -0.074372 Loss_G: 0.024210 Loss_D_real: -0.032377 Loss_D_fake 0.041995
[26/5000][490/535][2381] Loss_D: -0.072711 Loss_G: 0.025902 Loss_D_real: -0.033946 Loss_D_fake 0.038765
[26/5000][495/535][2382] Loss_D: -0.073359 Loss_G: 0.028339 Loss_D_real: -0.040021 Loss_D_fake 0.033338
[26/5000][500/535][2383] Loss_D: -0.073674 Loss_G: 0.039977 Loss_D_real: -0.048819 Loss_D_fake 0.024855
[26/5000][505/535][2384] Loss_D: -0.073957 Loss_G: 0.049395 Loss_D_real: -0.051834 Loss_D_fake 0.022123
[26/5000][510/535][2385] Loss_D: -0.075301 Loss_G: 0.037255 Loss_D_real: -0.042859 Loss_D_fake 0.032441
[26/5000][515/535][2386] Loss_D: -0.072667 Loss_G: 0.027549 Loss_D_real: -0.037473 Loss_D_fake 0.035193
[26/5000][520/535][2387] Loss_D: -0.074933 Loss_G: 0.043832 Loss_D_real: -0.047716 Loss_D_fake 0.027217
[26/5000][525/535][2388] Loss_D: -0.072983 Loss_G: 0.002004 Loss_D_real: -0.020616 Loss_D_fake 0.052367
[26/5000][530/535][2389] Loss_D: -0.067900 Loss_G: 0.059925 Loss_D_real: -0.061680 Loss_D_fake 0.006219
[26/5000][535/535][2390] Loss_D: -0.070568 Loss_G: 0.016212 Loss_D_real: -0.014622 Loss_D_fake 0.055947
[27/5000][5/535][2391] Loss_D: -0.069648 Loss_G: 0.047416 Loss_D_real: -0.051235 Loss_D_fake 0.018413
[27/5000][10/535][2392] Loss_D: -0.071680 Loss_G: 0.031826 Loss_D_real: -0.034780 Loss_D_fake 0.036900
[27/5000][15/535][2393] Loss_D: -0.069934 Loss_G: 0.025571 Loss_D_real: -0.033515 Loss_D_fake 0.036419
[27/5000][20/535][2394] Loss_D: -0.071820 Loss_G: 0.039022 Loss_D_real: -0.044965 Loss_D_fake 0.026855
[27/5000][25/535][2395] Loss_D: -0.070662 Loss_G: 0.027637 Loss_D_real: -0.034565 Loss_D_fake 0.036097
[27/5000][30/535][2396] Loss_D: -0.071684 Loss_G: 0.046699 Loss_D_real: -0.046677 Loss_D_fake 0.025007
[27/5000][35/535][2397] Loss_D: -0.074074 Loss_G: 0.029770 Loss_D_real: -0.035660 Loss_D_fake 0.038415
[27/5000][40/535][2398] Loss_D: -0.072337 Loss_G: 0.050329 Loss_D_real: -0.051978 Loss_D_fake 0.020359
[27/5000][45/535][2399] Loss_D: -0.071002 Loss_G: 0.016368 Loss_D_real: -0.028550 Loss_D_fake 0.042452
[27/5000][50/535][2400] Loss_D: -0.069161 Loss_G: 0.039934 Loss_D_real: -0.045509 Loss_D_fake 0.023652
[27/5000][55/535][2401] Loss_D: -0.069315 Loss_G: 0.040191 Loss_D_real: -0.041420 Loss_D_fake 0.027895
[27/5000][60/535][2402] Loss_D: -0.070040 Loss_G: 0.010625 Loss_D_real: -0.024082 Loss_D_fake 0.045958
[27/5000][65/535][2403] Loss_D: -0.066343 Loss_G: 0.052211 Loss_D_real: -0.055213 Loss_D_fake 0.011130
[27/5000][70/535][2404] Loss_D: -0.068837 Loss_G: 0.014342 Loss_D_real: -0.025735 Loss_D_fake 0.043102
[27/5000][75/535][2405] Loss_D: -0.068280 Loss_G: 0.048486 Loss_D_real: -0.053981 Loss_D_fake 0.014299
[27/5000][80/535][2406] Loss_D: -0.070759 Loss_G: 0.021480 Loss_D_real: -0.031626 Loss_D_fake 0.039133
[27/5000][85/535][2407] Loss_D: -0.071464 Loss_G: 0.044035 Loss_D_real: -0.049619 Loss_D_fake 0.021845
[27/5000][90/535][2408] Loss_D: -0.070331 Loss_G: 0.022595 Loss_D_real: -0.032128 Loss_D_fake 0.038203
[27/5000][95/535][2409] Loss_D: -0.072668 Loss_G: 0.048493 Loss_D_real: -0.048839 Loss_D_fake 0.023829
[27/5000][100/535][2410] Loss_D: -0.074472 Loss_G: 0.036665 Loss_D_real: -0.037217 Loss_D_fake 0.037255
[27/5000][105/535][2411] Loss_D: -0.073020 Loss_G: 0.040883 Loss_D_real: -0.043678 Loss_D_fake 0.029342
[27/5000][110/535][2412] Loss_D: -0.074020 Loss_G: 0.010014 Loss_D_real: -0.025508 Loss_D_fake 0.048513
[27/5000][115/535][2413] Loss_D: -0.070245 Loss_G: 0.061922 Loss_D_real: -0.063238 Loss_D_fake 0.007007
[27/5000][120/535][2414] Loss_D: -0.073585 Loss_G: 0.006691 Loss_D_real: -0.023263 Loss_D_fake 0.050322
[27/5000][125/535][2415] Loss_D: -0.067784 Loss_G: 0.059680 Loss_D_real: -0.063192 Loss_D_fake 0.004592
[27/5000][130/535][2416] Loss_D: -0.071255 Loss_G: 0.003099 Loss_D_real: -0.018185 Loss_D_fake 0.053070
[27/5000][135/535][2417] Loss_D: -0.072244 Loss_G: 0.049530 Loss_D_real: -0.053575 Loss_D_fake 0.018669
[27/5000][140/535][2418] Loss_D: -0.072767 Loss_G: 0.013890 Loss_D_real: -0.024099 Loss_D_fake 0.048669
[27/5000][145/535][2419] Loss_D: -0.072515 Loss_G: 0.044379 Loss_D_real: -0.049663 Loss_D_fake 0.022852
[27/5000][150/535][2420] Loss_D: -0.072715 Loss_G: 0.018923 Loss_D_real: -0.028124 Loss_D_fake 0.044591
[27/5000][155/535][2421] Loss_D: -0.074999 Loss_G: 0.047879 Loss_D_real: -0.050682 Loss_D_fake 0.024317
[27/5000][160/535][2422] Loss_D: -0.074109 Loss_G: 0.029110 Loss_D_real: -0.033115 Loss_D_fake 0.040994
[27/5000][165/535][2423] Loss_D: -0.075939 Loss_G: 0.028368 Loss_D_real: -0.038871 Loss_D_fake 0.037068
[27/5000][170/535][2424] Loss_D: -0.072766 Loss_G: 0.026813 Loss_D_real: -0.035023 Loss_D_fake 0.037743
[27/5000][175/535][2425] Loss_D: -0.076741 Loss_G: 0.031447 Loss_D_real: -0.038041 Loss_D_fake 0.038700
[27/5000][180/535][2426] Loss_D: -0.073470 Loss_G: 0.061325 Loss_D_real: -0.060566 Loss_D_fake 0.012904
[27/5000][185/535][2427] Loss_D: -0.071853 Loss_G: 0.006722 Loss_D_real: -0.020403 Loss_D_fake 0.051450
[27/5000][190/535][2428] Loss_D: -0.070959 Loss_G: 0.056176 Loss_D_real: -0.058042 Loss_D_fake 0.012917
[27/5000][195/535][2429] Loss_D: -0.069903 Loss_G: 0.016560 Loss_D_real: -0.025293 Loss_D_fake 0.044610
[27/5000][200/535][2430] Loss_D: -0.072345 Loss_G: 0.035939 Loss_D_real: -0.043999 Loss_D_fake 0.028346
[27/5000][205/535][2431] Loss_D: -0.075282 Loss_G: 0.041054 Loss_D_real: -0.046472 Loss_D_fake 0.028810
[27/5000][210/535][2432] Loss_D: -0.071794 Loss_G: 0.030396 Loss_D_real: -0.034005 Loss_D_fake 0.037789
[27/5000][215/535][2433] Loss_D: -0.073918 Loss_G: 0.039132 Loss_D_real: -0.045078 Loss_D_fake 0.028839
[27/5000][220/535][2434] Loss_D: -0.071792 Loss_G: 0.036494 Loss_D_real: -0.037678 Loss_D_fake 0.034114
[27/5000][225/535][2435] Loss_D: -0.074379 Loss_G: 0.028606 Loss_D_real: -0.042330 Loss_D_fake 0.032049
[27/5000][230/535][2436] Loss_D: -0.069818 Loss_G: 0.052730 Loss_D_real: -0.050174 Loss_D_fake 0.019644
[27/5000][235/535][2437] Loss_D: -0.069873 Loss_G: 0.007760 Loss_D_real: -0.021018 Loss_D_fake 0.048856
[27/5000][240/535][2438] Loss_D: -0.073124 Loss_G: 0.050030 Loss_D_real: -0.056008 Loss_D_fake 0.017117
[27/5000][245/535][2439] Loss_D: -0.071531 Loss_G: 0.015264 Loss_D_real: -0.029900 Loss_D_fake 0.041630
[27/5000][250/535][2440] Loss_D: -0.072770 Loss_G: 0.050460 Loss_D_real: -0.055491 Loss_D_fake 0.017279
[27/5000][255/535][2441] Loss_D: -0.071895 Loss_G: 0.013011 Loss_D_real: -0.025201 Loss_D_fake 0.046693
[27/5000][260/535][2442] Loss_D: -0.070505 Loss_G: 0.048208 Loss_D_real: -0.054083 Loss_D_fake 0.016423
[27/5000][265/535][2443] Loss_D: -0.072338 Loss_G: 0.031161 Loss_D_real: -0.038229 Loss_D_fake 0.034110
[27/5000][270/535][2444] Loss_D: -0.072733 Loss_G: 0.015588 Loss_D_real: -0.031944 Loss_D_fake 0.040789
[27/5000][275/535][2445] Loss_D: -0.068432 Loss_G: 0.055520 Loss_D_real: -0.061531 Loss_D_fake 0.006901
[27/5000][280/535][2446] Loss_D: -0.073752 Loss_G: 0.009958 Loss_D_real: -0.025177 Loss_D_fake 0.048575
[27/5000][285/535][2447] Loss_D: -0.070564 Loss_G: 0.051567 Loss_D_real: -0.054827 Loss_D_fake 0.015737
[27/5000][290/535][2448] Loss_D: -0.072851 Loss_G: 0.013694 Loss_D_real: -0.023391 Loss_D_fake 0.049460
[27/5000][295/535][2449] Loss_D: -0.071189 Loss_G: 0.040373 Loss_D_real: -0.047228 Loss_D_fake 0.023960
[27/5000][300/535][2450] Loss_D: -0.071926 Loss_G: 0.031768 Loss_D_real: -0.039512 Loss_D_fake 0.032415
[27/5000][305/535][2451] Loss_D: -0.073817 Loss_G: 0.036998 Loss_D_real: -0.044118 Loss_D_fake 0.029698
[27/5000][310/535][2452] Loss_D: -0.073635 Loss_G: 0.016457 Loss_D_real: -0.031035 Loss_D_fake 0.042600
[27/5000][315/535][2453] Loss_D: -0.071669 Loss_G: 0.046134 Loss_D_real: -0.049467 Loss_D_fake 0.022202
[27/5000][320/535][2454] Loss_D: -0.072384 Loss_G: 0.036961 Loss_D_real: -0.044683 Loss_D_fake 0.027701
[27/5000][325/535][2455] Loss_D: -0.073857 Loss_G: 0.042475 Loss_D_real: -0.047217 Loss_D_fake 0.026640
[27/5000][330/535][2456] Loss_D: -0.070149 Loss_G: -0.002423 Loss_D_real: -0.019920 Loss_D_fake 0.050229
[27/5000][335/535][2457] Loss_D: -0.062720 Loss_G: 0.053833 Loss_D_real: -0.062885 Loss_D_fake -0.000165
[27/5000][340/535][2458] Loss_D: -0.070461 Loss_G: 0.019936 Loss_D_real: -0.027105 Loss_D_fake 0.043356
[27/5000][345/535][2459] Loss_D: -0.069137 Loss_G: 0.032022 Loss_D_real: -0.040063 Loss_D_fake 0.029074
[27/5000][350/535][2460] Loss_D: -0.070121 Loss_G: 0.047403 Loss_D_real: -0.053144 Loss_D_fake 0.016977
[27/5000][355/535][2461] Loss_D: -0.072837 Loss_G: 0.028368 Loss_D_real: -0.037904 Loss_D_fake 0.034934
[27/5000][360/535][2462] Loss_D: -0.071118 Loss_G: 0.048495 Loss_D_real: -0.049622 Loss_D_fake 0.021496
[27/5000][365/535][2463] Loss_D: -0.070241 Loss_G: 0.017929 Loss_D_real: -0.027899 Loss_D_fake 0.042342
[27/5000][370/535][2464] Loss_D: -0.072090 Loss_G: 0.031990 Loss_D_real: -0.044323 Loss_D_fake 0.027767
[27/5000][375/535][2465] Loss_D: -0.071843 Loss_G: 0.052222 Loss_D_real: -0.054870 Loss_D_fake 0.016972
[27/5000][380/535][2466] Loss_D: -0.071755 Loss_G: 0.007862 Loss_D_real: -0.026398 Loss_D_fake 0.045357
[27/5000][385/535][2467] Loss_D: -0.068687 Loss_G: 0.063213 Loss_D_real: -0.067735 Loss_D_fake 0.000952
[27/5000][390/535][2468] Loss_D: -0.071729 Loss_G: 0.016702 Loss_D_real: -0.028675 Loss_D_fake 0.043053
[27/5000][395/535][2469] Loss_D: -0.068289 Loss_G: 0.047596 Loss_D_real: -0.055662 Loss_D_fake 0.012627
[27/5000][400/535][2470] Loss_D: -0.070172 Loss_G: 0.037228 Loss_D_real: -0.042697 Loss_D_fake 0.027474
[27/5000][405/535][2471] Loss_D: -0.073229 Loss_G: 0.044165 Loss_D_real: -0.051369 Loss_D_fake 0.021860
[27/5000][410/535][2472] Loss_D: -0.073313 Loss_G: 0.019979 Loss_D_real: -0.032235 Loss_D_fake 0.041078
[27/5000][415/535][2473] Loss_D: -0.076010 Loss_G: 0.042537 Loss_D_real: -0.047272 Loss_D_fake 0.028737
[27/5000][420/535][2474] Loss_D: -0.073073 Loss_G: 0.015336 Loss_D_real: -0.029133 Loss_D_fake 0.043941
[27/5000][425/535][2475] Loss_D: -0.069682 Loss_G: 0.045481 Loss_D_real: -0.053706 Loss_D_fake 0.015976
[27/5000][430/535][2476] Loss_D: -0.070823 Loss_G: 0.037402 Loss_D_real: -0.038571 Loss_D_fake 0.032252
[27/5000][435/535][2477] Loss_D: -0.073262 Loss_G: 0.018620 Loss_D_real: -0.031707 Loss_D_fake 0.041555
[27/5000][440/535][2478] Loss_D: -0.071993 Loss_G: 0.045513 Loss_D_real: -0.056385 Loss_D_fake 0.015608
[27/5000][445/535][2479] Loss_D: -0.070801 Loss_G: 0.032605 Loss_D_real: -0.039653 Loss_D_fake 0.031148
[27/5000][450/535][2480] Loss_D: -0.072105 Loss_G: 0.023307 Loss_D_real: -0.034270 Loss_D_fake 0.037835
[27/5000][455/535][2481] Loss_D: -0.070565 Loss_G: 0.023103 Loss_D_real: -0.034753 Loss_D_fake 0.035812
[27/5000][460/535][2482] Loss_D: -0.074125 Loss_G: 0.028000 Loss_D_real: -0.037510 Loss_D_fake 0.036614
[27/5000][465/535][2483] Loss_D: -0.070544 Loss_G: 0.042370 Loss_D_real: -0.047999 Loss_D_fake 0.022546
[27/5000][470/535][2484] Loss_D: -0.068288 Loss_G: 0.004048 Loss_D_real: -0.021504 Loss_D_fake 0.046785
[27/5000][475/535][2485] Loss_D: -0.067596 Loss_G: 0.060676 Loss_D_real: -0.064143 Loss_D_fake 0.003453
[27/5000][480/535][2486] Loss_D: -0.067830 Loss_G: 0.004498 Loss_D_real: -0.015024 Loss_D_fake 0.052806
[27/5000][485/535][2487] Loss_D: -0.068568 Loss_G: 0.050829 Loss_D_real: -0.058488 Loss_D_fake 0.010080
[27/5000][490/535][2488] Loss_D: -0.070669 Loss_G: 0.010790 Loss_D_real: -0.027620 Loss_D_fake 0.043048
[27/5000][495/535][2489] Loss_D: -0.068848 Loss_G: 0.044827 Loss_D_real: -0.052229 Loss_D_fake 0.016619
[27/5000][500/535][2490] Loss_D: -0.068757 Loss_G: 0.015685 Loss_D_real: -0.029319 Loss_D_fake 0.039438
[27/5000][505/535][2491] Loss_D: -0.071333 Loss_G: 0.046818 Loss_D_real: -0.053222 Loss_D_fake 0.018111
[27/5000][510/535][2492] Loss_D: -0.069973 Loss_G: 0.005531 Loss_D_real: -0.022879 Loss_D_fake 0.047094
[27/5000][515/535][2493] Loss_D: -0.071217 Loss_G: 0.050048 Loss_D_real: -0.058320 Loss_D_fake 0.012897
[27/5000][520/535][2494] Loss_D: -0.073331 Loss_G: 0.025500 Loss_D_real: -0.035464 Loss_D_fake 0.037868
[27/5000][525/535][2495] Loss_D: -0.073159 Loss_G: 0.027238 Loss_D_real: -0.037505 Loss_D_fake 0.035654
[27/5000][530/535][2496] Loss_D: -0.066743 Loss_G: 0.040731 Loss_D_real: -0.045707 Loss_D_fake 0.021036
[27/5000][535/535][2497] Loss_D: -0.067945 Loss_G: 0.004371 Loss_D_real: -0.023836 Loss_D_fake 0.044109
[28/5000][5/535][2498] Loss_D: -0.072408 Loss_G: 0.021058 Loss_D_real: -0.036669 Loss_D_fake 0.035738
[28/5000][10/535][2499] Loss_D: -0.071187 Loss_G: 0.050810 Loss_D_real: -0.053845 Loss_D_fake 0.017342
[28/5000][15/535][2500] Loss_D: -0.069210 Loss_G: 0.009015 Loss_D_real: -0.021267 Loss_D_fake 0.047943
[28/5000][115/535][2501] Loss_D: -0.073006 Loss_G: 0.061376 Loss_D_real: -0.064437 Loss_D_fake 0.008569
[28/5000][120/535][2502] Loss_D: -0.068771 Loss_G: 0.011386 Loss_D_real: -0.018221 Loss_D_fake 0.050550
[28/5000][125/535][2503] Loss_D: -0.069370 Loss_G: 0.031673 Loss_D_real: -0.041323 Loss_D_fake 0.028048
[28/5000][130/535][2504] Loss_D: -0.069330 Loss_G: 0.021472 Loss_D_real: -0.037679 Loss_D_fake 0.031651
[28/5000][135/535][2505] Loss_D: -0.070648 Loss_G: 0.040584 Loss_D_real: -0.048959 Loss_D_fake 0.021688
[28/5000][140/535][2506] Loss_D: -0.073516 Loss_G: 0.034089 Loss_D_real: -0.036893 Loss_D_fake 0.036623
[28/5000][145/535][2507] Loss_D: -0.073421 Loss_G: 0.036996 Loss_D_real: -0.041057 Loss_D_fake 0.032364
[28/5000][150/535][2508] Loss_D: -0.073299 Loss_G: 0.011279 Loss_D_real: -0.027499 Loss_D_fake 0.045801
[28/5000][155/535][2509] Loss_D: -0.069573 Loss_G: 0.044492 Loss_D_real: -0.050938 Loss_D_fake 0.018635
[28/5000][160/535][2510] Loss_D: -0.073631 Loss_G: 0.016885 Loss_D_real: -0.028251 Loss_D_fake 0.045380
[28/5000][165/535][2511] Loss_D: -0.070365 Loss_G: 0.038454 Loss_D_real: -0.044459 Loss_D_fake 0.025907
[28/5000][170/535][2512] Loss_D: -0.072520 Loss_G: 0.020196 Loss_D_real: -0.030345 Loss_D_fake 0.042175
[28/5000][175/535][2513] Loss_D: -0.069284 Loss_G: 0.054672 Loss_D_real: -0.055218 Loss_D_fake 0.014066
[28/5000][180/535][2514] Loss_D: -0.068270 Loss_G: -0.000760 Loss_D_real: -0.012426 Loss_D_fake 0.055844
[28/5000][185/535][2515] Loss_D: -0.069789 Loss_G: 0.049664 Loss_D_real: -0.058937 Loss_D_fake 0.010852
[28/5000][190/535][2516] Loss_D: -0.074363 Loss_G: 0.022865 Loss_D_real: -0.034642 Loss_D_fake 0.039721
[28/5000][195/535][2517] Loss_D: -0.072014 Loss_G: 0.028319 Loss_D_real: -0.039848 Loss_D_fake 0.032165
[28/5000][200/535][2518] Loss_D: -0.067737 Loss_G: 0.054447 Loss_D_real: -0.051860 Loss_D_fake 0.015877
[28/5000][205/535][2519] Loss_D: -0.073125 Loss_G: 0.017518 Loss_D_real: -0.031437 Loss_D_fake 0.041688
[28/5000][210/535][2520] Loss_D: -0.071647 Loss_G: 0.045744 Loss_D_real: -0.056639 Loss_D_fake 0.015007
[28/5000][215/535][2521] Loss_D: -0.073284 Loss_G: 0.036524 Loss_D_real: -0.041293 Loss_D_fake 0.031991
[28/5000][220/535][2522] Loss_D: -0.069637 Loss_G: 0.011678 Loss_D_real: -0.024408 Loss_D_fake 0.045230
[28/5000][225/535][2523] Loss_D: -0.073889 Loss_G: 0.041803 Loss_D_real: -0.054826 Loss_D_fake 0.019063
[28/5000][230/535][2524] Loss_D: -0.072165 Loss_G: 0.021122 Loss_D_real: -0.025379 Loss_D_fake 0.046786
[28/5000][235/535][2525] Loss_D: -0.072128 Loss_G: 0.041081 Loss_D_real: -0.049817 Loss_D_fake 0.022311
[28/5000][240/535][2526] Loss_D: -0.068501 Loss_G: 0.019787 Loss_D_real: -0.030805 Loss_D_fake 0.037696
[28/5000][245/535][2527] Loss_D: -0.071557 Loss_G: 0.037081 Loss_D_real: -0.043496 Loss_D_fake 0.028061
[28/5000][250/535][2528] Loss_D: -0.072006 Loss_G: 0.031358 Loss_D_real: -0.036228 Loss_D_fake 0.035778
[28/5000][255/535][2529] Loss_D: -0.070010 Loss_G: 0.015607 Loss_D_real: -0.027417 Loss_D_fake 0.042592
[28/5000][260/535][2530] Loss_D: -0.074830 Loss_G: 0.044881 Loss_D_real: -0.050263 Loss_D_fake 0.024567
[28/5000][265/535][2531] Loss_D: -0.072318 Loss_G: 0.025839 Loss_D_real: -0.034643 Loss_D_fake 0.037675
[28/5000][270/535][2532] Loss_D: -0.070447 Loss_G: 0.057263 Loss_D_real: -0.057432 Loss_D_fake 0.013015
[28/5000][275/535][2533] Loss_D: -0.063772 Loss_G: -0.000705 Loss_D_real: -0.004888 Loss_D_fake 0.058884
[28/5000][280/535][2534] Loss_D: -0.068818 Loss_G: 0.053415 Loss_D_real: -0.053397 Loss_D_fake 0.015420
[28/5000][285/535][2535] Loss_D: -0.069606 Loss_G: 0.013614 Loss_D_real: -0.024122 Loss_D_fake 0.045484
[28/5000][290/535][2536] Loss_D: -0.069949 Loss_G: 0.050443 Loss_D_real: -0.048959 Loss_D_fake 0.020991
[28/5000][295/535][2537] Loss_D: -0.074015 Loss_G: 0.015959 Loss_D_real: -0.031139 Loss_D_fake 0.042876
[28/5000][300/535][2538] Loss_D: -0.072735 Loss_G: 0.058460 Loss_D_real: -0.062342 Loss_D_fake 0.010393
[28/5000][305/535][2539] Loss_D: -0.070416 Loss_G: 0.010170 Loss_D_real: -0.025242 Loss_D_fake 0.045174
[28/5000][310/535][2540] Loss_D: -0.071687 Loss_G: 0.038129 Loss_D_real: -0.045898 Loss_D_fake 0.025789
[28/5000][315/535][2541] Loss_D: -0.074349 Loss_G: 0.034751 Loss_D_real: -0.038622 Loss_D_fake 0.035727
[28/5000][320/535][2542] Loss_D: -0.074615 Loss_G: 0.043239 Loss_D_real: -0.046225 Loss_D_fake 0.028389
[28/5000][325/535][2543] Loss_D: -0.074191 Loss_G: 0.041113 Loss_D_real: -0.044620 Loss_D_fake 0.029571
[28/5000][330/535][2544] Loss_D: -0.071579 Loss_G: 0.033649 Loss_D_real: -0.038906 Loss_D_fake 0.032673
[28/5000][335/535][2545] Loss_D: -0.070671 Loss_G: 0.039709 Loss_D_real: -0.042474 Loss_D_fake 0.028197
[28/5000][340/535][2546] Loss_D: -0.073202 Loss_G: 0.015141 Loss_D_real: -0.032384 Loss_D_fake 0.040818
[28/5000][345/535][2547] Loss_D: -0.067459 Loss_G: 0.066100 Loss_D_real: -0.064766 Loss_D_fake 0.002693
[28/5000][350/535][2548] Loss_D: -0.068526 Loss_G: 0.007237 Loss_D_real: -0.014862 Loss_D_fake 0.053663
[28/5000][355/535][2549] Loss_D: -0.070536 Loss_G: 0.044129 Loss_D_real: -0.048906 Loss_D_fake 0.021629
[28/5000][360/535][2550] Loss_D: -0.068888 Loss_G: 0.022948 Loss_D_real: -0.031487 Loss_D_fake 0.037402
[28/5000][365/535][2551] Loss_D: -0.070613 Loss_G: 0.047690 Loss_D_real: -0.053205 Loss_D_fake 0.017407
[28/5000][370/535][2552] Loss_D: -0.071030 Loss_G: 0.038130 Loss_D_real: -0.044312 Loss_D_fake 0.026717
[28/5000][375/535][2553] Loss_D: -0.073080 Loss_G: 0.026684 Loss_D_real: -0.034974 Loss_D_fake 0.038105
[28/5000][380/535][2554] Loss_D: -0.072384 Loss_G: 0.061608 Loss_D_real: -0.057584 Loss_D_fake 0.014800
[28/5000][385/535][2555] Loss_D: -0.070909 Loss_G: 0.012076 Loss_D_real: -0.022344 Loss_D_fake 0.048565
[28/5000][390/535][2556] Loss_D: -0.070462 Loss_G: 0.053169 Loss_D_real: -0.059498 Loss_D_fake 0.010964
[28/5000][395/535][2557] Loss_D: -0.070392 Loss_G: 0.007595 Loss_D_real: -0.018349 Loss_D_fake 0.052043
[28/5000][400/535][2558] Loss_D: -0.069016 Loss_G: 0.045080 Loss_D_real: -0.050107 Loss_D_fake 0.018909
[28/5000][405/535][2559] Loss_D: -0.070831 Loss_G: 0.035091 Loss_D_real: -0.038407 Loss_D_fake 0.032424
[28/5000][410/535][2560] Loss_D: -0.071500 Loss_G: 0.033403 Loss_D_real: -0.040901 Loss_D_fake 0.030599
[28/5000][415/535][2561] Loss_D: -0.073150 Loss_G: 0.030319 Loss_D_real: -0.042743 Loss_D_fake 0.030407
[28/5000][420/535][2562] Loss_D: -0.074798 Loss_G: 0.043246 Loss_D_real: -0.048233 Loss_D_fake 0.026566
[28/5000][425/535][2563] Loss_D: -0.069634 Loss_G: 0.001086 Loss_D_real: -0.018740 Loss_D_fake 0.050893
[28/5000][430/535][2564] Loss_D: -0.071010 Loss_G: 0.053041 Loss_D_real: -0.058643 Loss_D_fake 0.012367
[28/5000][435/535][2565] Loss_D: -0.068467 Loss_G: 0.000574 Loss_D_real: -0.015661 Loss_D_fake 0.052806
[28/5000][440/535][2566] Loss_D: -0.067691 Loss_G: 0.042378 Loss_D_real: -0.050026 Loss_D_fake 0.017665
[28/5000][445/535][2567] Loss_D: -0.073726 Loss_G: 0.042013 Loss_D_real: -0.046099 Loss_D_fake 0.027627
[28/5000][450/535][2568] Loss_D: -0.070050 Loss_G: 0.021683 Loss_D_real: -0.032293 Loss_D_fake 0.037757
[28/5000][455/535][2569] Loss_D: -0.070442 Loss_G: 0.060193 Loss_D_real: -0.060190 Loss_D_fake 0.010252
[28/5000][460/535][2570] Loss_D: -0.072063 Loss_G: 0.011770 Loss_D_real: -0.019872 Loss_D_fake 0.052191
[28/5000][465/535][2571] Loss_D: -0.067945 Loss_G: 0.035487 Loss_D_real: -0.042402 Loss_D_fake 0.025542
[28/5000][470/535][2572] Loss_D: -0.071599 Loss_G: 0.023428 Loss_D_real: -0.035362 Loss_D_fake 0.036236
[28/5000][475/535][2573] Loss_D: -0.071386 Loss_G: 0.051359 Loss_D_real: -0.051451 Loss_D_fake 0.019935
[28/5000][480/535][2574] Loss_D: -0.071957 Loss_G: 0.013440 Loss_D_real: -0.027065 Loss_D_fake 0.044892
[28/5000][485/535][2575] Loss_D: -0.070970 Loss_G: 0.054607 Loss_D_real: -0.056969 Loss_D_fake 0.014001
[28/5000][490/535][2576] Loss_D: -0.073078 Loss_G: 0.019546 Loss_D_real: -0.027079 Loss_D_fake 0.045999
[28/5000][495/535][2577] Loss_D: -0.070545 Loss_G: 0.042579 Loss_D_real: -0.045273 Loss_D_fake 0.025272
[28/5000][500/535][2578] Loss_D: -0.072130 Loss_G: 0.025470 Loss_D_real: -0.032558 Loss_D_fake 0.039572
[28/5000][505/535][2579] Loss_D: -0.072186 Loss_G: 0.038980 Loss_D_real: -0.041587 Loss_D_fake 0.030600
[28/5000][510/535][2580] Loss_D: -0.070606 Loss_G: 0.017322 Loss_D_real: -0.024974 Loss_D_fake 0.045633
[28/5000][515/535][2581] Loss_D: -0.070688 Loss_G: 0.049610 Loss_D_real: -0.050528 Loss_D_fake 0.020160
[28/5000][520/535][2582] Loss_D: -0.072619 Loss_G: 0.028590 Loss_D_real: -0.034773 Loss_D_fake 0.037846
[28/5000][525/535][2583] Loss_D: -0.072608 Loss_G: 0.052358 Loss_D_real: -0.050305 Loss_D_fake 0.022303
[28/5000][530/535][2584] Loss_D: -0.072693 Loss_G: 0.019859 Loss_D_real: -0.034875 Loss_D_fake 0.037818
[28/5000][535/535][2585] Loss_D: -0.066768 Loss_G: 0.028566 Loss_D_real: -0.035386 Loss_D_fake 0.031382
[29/5000][5/535][2586] Loss_D: -0.070149 Loss_G: 0.047218 Loss_D_real: -0.053940 Loss_D_fake 0.016209
[29/5000][10/535][2587] Loss_D: -0.070515 Loss_G: 0.031443 Loss_D_real: -0.036604 Loss_D_fake 0.033910
[29/5000][15/535][2588] Loss_D: -0.064744 Loss_G: 0.067990 Loss_D_real: -0.065561 Loss_D_fake -0.000817
[29/5000][20/535][2589] Loss_D: -0.068284 Loss_G: 0.012328 Loss_D_real: -0.017987 Loss_D_fake 0.050297
[29/5000][25/535][2590] Loss_D: -0.067833 Loss_G: 0.046256 Loss_D_real: -0.053908 Loss_D_fake 0.013925
[29/5000][30/535][2591] Loss_D: -0.069616 Loss_G: 0.017166 Loss_D_real: -0.026071 Loss_D_fake 0.043545
[29/5000][35/535][2592] Loss_D: -0.070940 Loss_G: 0.032938 Loss_D_real: -0.044450 Loss_D_fake 0.026490
[29/5000][40/535][2593] Loss_D: -0.070800 Loss_G: 0.049770 Loss_D_real: -0.055115 Loss_D_fake 0.015685
[29/5000][45/535][2594] Loss_D: -0.073068 Loss_G: 0.023090 Loss_D_real: -0.031046 Loss_D_fake 0.042023
[29/5000][50/535][2595] Loss_D: -0.069403 Loss_G: 0.059171 Loss_D_real: -0.057266 Loss_D_fake 0.012137
[29/5000][55/535][2596] Loss_D: -0.072533 Loss_G: 0.007627 Loss_D_real: -0.026410 Loss_D_fake 0.046123
[29/5000][60/535][2597] Loss_D: -0.067775 Loss_G: 0.051252 Loss_D_real: -0.058444 Loss_D_fake 0.009331
[29/5000][65/535][2598] Loss_D: -0.071539 Loss_G: 0.028605 Loss_D_real: -0.032808 Loss_D_fake 0.038730
[29/5000][70/535][2599] Loss_D: -0.073038 Loss_G: 0.048232 Loss_D_real: -0.045873 Loss_D_fake 0.027165
[29/5000][75/535][2600] Loss_D: -0.068868 Loss_G: 0.022021 Loss_D_real: -0.032344 Loss_D_fake 0.036524
[29/5000][80/535][2601] Loss_D: -0.069806 Loss_G: 0.041796 Loss_D_real: -0.044813 Loss_D_fake 0.024993
[29/5000][85/535][2602] Loss_D: -0.072733 Loss_G: 0.023882 Loss_D_real: -0.030155 Loss_D_fake 0.042578
[29/5000][90/535][2603] Loss_D: -0.069327 Loss_G: 0.042199 Loss_D_real: -0.047540 Loss_D_fake 0.021787
[29/5000][95/535][2604] Loss_D: -0.073443 Loss_G: 0.025232 Loss_D_real: -0.038938 Loss_D_fake 0.034505
[29/5000][100/535][2605] Loss_D: -0.071890 Loss_G: 0.040699 Loss_D_real: -0.043453 Loss_D_fake 0.028437
[29/5000][105/535][2606] Loss_D: -0.069947 Loss_G: -0.006107 Loss_D_real: -0.012954 Loss_D_fake 0.056993
[29/5000][110/535][2607] Loss_D: -0.068335 Loss_G: 0.054952 Loss_D_real: -0.060332 Loss_D_fake 0.008003
[29/5000][115/535][2608] Loss_D: -0.070006 Loss_G: 0.012949 Loss_D_real: -0.027150 Loss_D_fake 0.042856
[29/5000][120/535][2609] Loss_D: -0.069583 Loss_G: 0.052474 Loss_D_real: -0.058897 Loss_D_fake 0.010686
[29/5000][125/535][2610] Loss_D: -0.073943 Loss_G: 0.025703 Loss_D_real: -0.033415 Loss_D_fake 0.040528
[29/5000][130/535][2611] Loss_D: -0.067576 Loss_G: 0.015870 Loss_D_real: -0.028165 Loss_D_fake 0.039411
[29/5000][135/535][2612] Loss_D: -0.071072 Loss_G: 0.047897 Loss_D_real: -0.052418 Loss_D_fake 0.018654
[29/5000][140/535][2613] Loss_D: -0.071805 Loss_G: 0.011293 Loss_D_real: -0.024103 Loss_D_fake 0.047702
[29/5000][145/535][2614] Loss_D: -0.068055 Loss_G: 0.051729 Loss_D_real: -0.063888 Loss_D_fake 0.004167
[29/5000][150/535][2615] Loss_D: -0.070607 Loss_G: 0.028816 Loss_D_real: -0.033989 Loss_D_fake 0.036618
[29/5000][155/535][2616] Loss_D: -0.072444 Loss_G: 0.029924 Loss_D_real: -0.038519 Loss_D_fake 0.033925
[29/5000][160/535][2617] Loss_D: -0.072303 Loss_G: 0.028176 Loss_D_real: -0.038911 Loss_D_fake 0.033392
[29/5000][165/535][2618] Loss_D: -0.072097 Loss_G: 0.048972 Loss_D_real: -0.047487 Loss_D_fake 0.024610
[29/5000][170/535][2619] Loss_D: -0.069907 Loss_G: 0.026712 Loss_D_real: -0.036114 Loss_D_fake 0.033793
[29/5000][175/535][2620] Loss_D: -0.072249 Loss_G: 0.044516 Loss_D_real: -0.048138 Loss_D_fake 0.024111
[29/5000][180/535][2621] Loss_D: -0.070185 Loss_G: 0.000990 Loss_D_real: -0.020959 Loss_D_fake 0.049226
[29/5000][185/535][2622] Loss_D: -0.068717 Loss_G: 0.050674 Loss_D_real: -0.059951 Loss_D_fake 0.008766
[29/5000][190/535][2623] Loss_D: -0.069869 Loss_G: 0.043991 Loss_D_real: -0.046358 Loss_D_fake 0.023511
[29/5000][195/535][2624] Loss_D: -0.071941 Loss_G: 0.021971 Loss_D_real: -0.029537 Loss_D_fake 0.042405
[29/5000][200/535][2625] Loss_D: -0.069788 Loss_G: 0.048873 Loss_D_real: -0.048535 Loss_D_fake 0.021253
[29/5000][205/535][2626] Loss_D: -0.070083 Loss_G: 0.008290 Loss_D_real: -0.021682 Loss_D_fake 0.048401
[29/5000][210/535][2627] Loss_D: -0.067166 Loss_G: 0.047595 Loss_D_real: -0.055515 Loss_D_fake 0.011651
[29/5000][215/535][2628] Loss_D: -0.071799 Loss_G: 0.019078 Loss_D_real: -0.030091 Loss_D_fake 0.041708
[29/5000][220/535][2629] Loss_D: -0.068892 Loss_G: 0.053294 Loss_D_real: -0.053633 Loss_D_fake 0.015259
[29/5000][225/535][2630] Loss_D: -0.071803 Loss_G: 0.025124 Loss_D_real: -0.034829 Loss_D_fake 0.036974
[29/5000][230/535][2631] Loss_D: -0.071669 Loss_G: 0.045492 Loss_D_real: -0.047946 Loss_D_fake 0.023724
[29/5000][235/535][2632] Loss_D: -0.073265 Loss_G: 0.031926 Loss_D_real: -0.036881 Loss_D_fake 0.036383
[29/5000][240/535][2633] Loss_D: -0.072740 Loss_G: 0.032701 Loss_D_real: -0.038140 Loss_D_fake 0.034600
[29/5000][245/535][2634] Loss_D: -0.070053 Loss_G: 0.039993 Loss_D_real: -0.043898 Loss_D_fake 0.026155
[29/5000][250/535][2635] Loss_D: -0.073465 Loss_G: 0.030649 Loss_D_real: -0.040396 Loss_D_fake 0.033068
[29/5000][255/535][2636] Loss_D: -0.073192 Loss_G: 0.033521 Loss_D_real: -0.043907 Loss_D_fake 0.029284
[29/5000][260/535][2637] Loss_D: -0.072603 Loss_G: 0.051440 Loss_D_real: -0.048799 Loss_D_fake 0.023804
[29/5000][265/535][2638] Loss_D: -0.068693 Loss_G: 0.005683 Loss_D_real: -0.015421 Loss_D_fake 0.053272
[29/5000][270/535][2639] Loss_D: -0.068844 Loss_G: 0.060773 Loss_D_real: -0.058545 Loss_D_fake 0.010298
[29/5000][275/535][2640] Loss_D: -0.069608 Loss_G: 0.006308 Loss_D_real: -0.016486 Loss_D_fake 0.053122
[29/5000][280/535][2641] Loss_D: -0.070847 Loss_G: 0.048364 Loss_D_real: -0.057252 Loss_D_fake 0.013596
[29/5000][285/535][2642] Loss_D: -0.070048 Loss_G: 0.022267 Loss_D_real: -0.029420 Loss_D_fake 0.040628
[29/5000][290/535][2643] Loss_D: -0.072687 Loss_G: 0.040177 Loss_D_real: -0.048900 Loss_D_fake 0.023787
[29/5000][295/535][2644] Loss_D: -0.072497 Loss_G: 0.033266 Loss_D_real: -0.038544 Loss_D_fake 0.033953
[29/5000][300/535][2645] Loss_D: -0.070562 Loss_G: 0.018619 Loss_D_real: -0.031904 Loss_D_fake 0.038658
[29/5000][305/535][2646] Loss_D: -0.070345 Loss_G: 0.039912 Loss_D_real: -0.043415 Loss_D_fake 0.026929
[29/5000][310/535][2647] Loss_D: -0.069749 Loss_G: 0.011394 Loss_D_real: -0.025185 Loss_D_fake 0.044564
[29/5000][315/535][2648] Loss_D: -0.067852 Loss_G: 0.046837 Loss_D_real: -0.050878 Loss_D_fake 0.016975
[29/5000][320/535][2649] Loss_D: -0.066103 Loss_G: 0.003270 Loss_D_real: -0.019337 Loss_D_fake 0.046765
[29/5000][325/535][2650] Loss_D: -0.069656 Loss_G: 0.037284 Loss_D_real: -0.044431 Loss_D_fake 0.025226
[29/5000][330/535][2651] Loss_D: -0.069361 Loss_G: 0.032914 Loss_D_real: -0.041014 Loss_D_fake 0.028347
[29/5000][335/535][2652] Loss_D: -0.071839 Loss_G: 0.018916 Loss_D_real: -0.031072 Loss_D_fake 0.040767
[29/5000][340/535][2653] Loss_D: -0.068981 Loss_G: 0.059803 Loss_D_real: -0.062117 Loss_D_fake 0.006865
[29/5000][345/535][2654] Loss_D: -0.066298 Loss_G: -0.000022 Loss_D_real: -0.011980 Loss_D_fake 0.054318
[29/5000][350/535][2655] Loss_D: -0.066496 Loss_G: 0.049789 Loss_D_real: -0.058238 Loss_D_fake 0.008258
[29/5000][355/535][2656] Loss_D: -0.073187 Loss_G: 0.022662 Loss_D_real: -0.028619 Loss_D_fake 0.044568
[29/5000][360/535][2657] Loss_D: -0.072637 Loss_G: 0.043048 Loss_D_real: -0.048476 Loss_D_fake 0.024161
[29/5000][365/535][2658] Loss_D: -0.070483 Loss_G: 0.031101 Loss_D_real: -0.037781 Loss_D_fake 0.032702
[29/5000][370/535][2659] Loss_D: -0.070171 Loss_G: 0.048308 Loss_D_real: -0.049012 Loss_D_fake 0.021159
[29/5000][375/535][2660] Loss_D: -0.072520 Loss_G: 0.016535 Loss_D_real: -0.028440 Loss_D_fake 0.044080
[29/5000][380/535][2661] Loss_D: -0.069329 Loss_G: 0.051005 Loss_D_real: -0.055591 Loss_D_fake 0.013738
[29/5000][385/535][2662] Loss_D: -0.068924 Loss_G: 0.004714 Loss_D_real: -0.014953 Loss_D_fake 0.053971
[29/5000][390/535][2663] Loss_D: -0.068840 Loss_G: 0.053016 Loss_D_real: -0.052671 Loss_D_fake 0.016169
[29/5000][395/535][2664] Loss_D: -0.069691 Loss_G: 0.011558 Loss_D_real: -0.020958 Loss_D_fake 0.048733
[29/5000][400/535][2665] Loss_D: -0.067885 Loss_G: 0.052676 Loss_D_real: -0.059263 Loss_D_fake 0.008622
[29/5000][405/535][2666] Loss_D: -0.072889 Loss_G: 0.025088 Loss_D_real: -0.034761 Loss_D_fake 0.038128
[29/5000][410/535][2667] Loss_D: -0.070759 Loss_G: 0.044252 Loss_D_real: -0.044308 Loss_D_fake 0.026451
[29/5000][415/535][2668] Loss_D: -0.069377 Loss_G: 0.016134 Loss_D_real: -0.027156 Loss_D_fake 0.042221
[29/5000][420/535][2669] Loss_D: -0.071527 Loss_G: 0.033039 Loss_D_real: -0.040296 Loss_D_fake 0.031231
[29/5000][425/535][2670] Loss_D: -0.070384 Loss_G: 0.047018 Loss_D_real: -0.047714 Loss_D_fake 0.022670
[29/5000][430/535][2671] Loss_D: -0.068415 Loss_G: -0.003530 Loss_D_real: -0.016168 Loss_D_fake 0.052247
[29/5000][435/535][2672] Loss_D: -0.069250 Loss_G: 0.050781 Loss_D_real: -0.057274 Loss_D_fake 0.011976
[29/5000][440/535][2673] Loss_D: -0.069005 Loss_G: 0.022329 Loss_D_real: -0.028774 Loss_D_fake 0.040230
[29/5000][445/535][2674] Loss_D: -0.067090 Loss_G: 0.057951 Loss_D_real: -0.057791 Loss_D_fake 0.009299
[29/5000][450/535][2675] Loss_D: -0.071277 Loss_G: 0.020544 Loss_D_real: -0.033403 Loss_D_fake 0.037875
[29/5000][455/535][2676] Loss_D: -0.071111 Loss_G: 0.044979 Loss_D_real: -0.047493 Loss_D_fake 0.023618
[29/5000][460/535][2677] Loss_D: -0.072233 Loss_G: 0.034720 Loss_D_real: -0.037540 Loss_D_fake 0.034693
[29/5000][465/535][2678] Loss_D: -0.072611 Loss_G: 0.041413 Loss_D_real: -0.043091 Loss_D_fake 0.029520
[29/5000][470/535][2679] Loss_D: -0.070404 Loss_G: 0.047002 Loss_D_real: -0.047497 Loss_D_fake 0.022907
[29/5000][475/535][2680] Loss_D: -0.070733 Loss_G: 0.017358 Loss_D_real: -0.031816 Loss_D_fake 0.038916
[29/5000][480/535][2681] Loss_D: -0.069379 Loss_G: 0.042946 Loss_D_real: -0.047278 Loss_D_fake 0.022100
[29/5000][485/535][2682] Loss_D: -0.071301 Loss_G: 0.031068 Loss_D_real: -0.038746 Loss_D_fake 0.032555
[29/5000][490/535][2683] Loss_D: -0.071298 Loss_G: 0.051478 Loss_D_real: -0.051720 Loss_D_fake 0.019577
[29/5000][495/535][2684] Loss_D: -0.067815 Loss_G: 0.006022 Loss_D_real: -0.014756 Loss_D_fake 0.053059
[29/5000][500/535][2685] Loss_D: -0.067385 Loss_G: 0.047968 Loss_D_real: -0.054654 Loss_D_fake 0.012730
[29/5000][505/535][2686] Loss_D: -0.069345 Loss_G: 0.023842 Loss_D_real: -0.031663 Loss_D_fake 0.037683
[29/5000][510/535][2687] Loss_D: -0.072980 Loss_G: 0.043047 Loss_D_real: -0.046040 Loss_D_fake 0.026940
[29/5000][515/535][2688] Loss_D: -0.069883 Loss_G: 0.002071 Loss_D_real: -0.021365 Loss_D_fake 0.048518
[29/5000][520/535][2689] Loss_D: -0.067370 Loss_G: 0.058447 Loss_D_real: -0.060315 Loss_D_fake 0.007055
[29/5000][525/535][2690] Loss_D: -0.068544 Loss_G: 0.003679 Loss_D_real: -0.017106 Loss_D_fake 0.051438
[29/5000][530/535][2691] Loss_D: -0.071095 Loss_G: 0.044186 Loss_D_real: -0.049508 Loss_D_fake 0.021586
[29/5000][535/535][2692] Loss_D: -0.066730 Loss_G: 0.033208 Loss_D_real: -0.031675 Loss_D_fake 0.035055
[30/5000][5/535][2693] Loss_D: -0.068902 Loss_G: 0.018266 Loss_D_real: -0.027550 Loss_D_fake 0.041351
[30/5000][10/535][2694] Loss_D: -0.071709 Loss_G: 0.045962 Loss_D_real: -0.048213 Loss_D_fake 0.023496
[30/5000][15/535][2695] Loss_D: -0.069010 Loss_G: 0.033227 Loss_D_real: -0.035636 Loss_D_fake 0.033374
[30/5000][20/535][2696] Loss_D: -0.070431 Loss_G: 0.035383 Loss_D_real: -0.038454 Loss_D_fake 0.031977
[30/5000][25/535][2697] Loss_D: -0.070795 Loss_G: 0.001584 Loss_D_real: -0.020297 Loss_D_fake 0.050498
[30/5000][30/535][2698] Loss_D: -0.068805 Loss_G: 0.051510 Loss_D_real: -0.054770 Loss_D_fake 0.014035
[30/5000][35/535][2699] Loss_D: -0.071014 Loss_G: 0.017509 Loss_D_real: -0.030292 Loss_D_fake 0.040723
[30/5000][40/535][2700] Loss_D: -0.068829 Loss_G: 0.041870 Loss_D_real: -0.047218 Loss_D_fake 0.021611
[30/5000][45/535][2701] Loss_D: -0.068188 Loss_G: 0.030762 Loss_D_real: -0.037953 Loss_D_fake 0.030235
[30/5000][50/535][2702] Loss_D: -0.070549 Loss_G: 0.027176 Loss_D_real: -0.037884 Loss_D_fake 0.032666
[30/5000][55/535][2703] Loss_D: -0.068779 Loss_G: 0.053014 Loss_D_real: -0.055422 Loss_D_fake 0.013357
[30/5000][60/535][2704] Loss_D: -0.068631 Loss_G: 0.000911 Loss_D_real: -0.016014 Loss_D_fake 0.052617
[30/5000][65/535][2705] Loss_D: -0.066849 Loss_G: 0.059124 Loss_D_real: -0.060416 Loss_D_fake 0.006433
[30/5000][70/535][2706] Loss_D: -0.067733 Loss_G: 0.008399 Loss_D_real: -0.019315 Loss_D_fake 0.048418
[30/5000][75/535][2707] Loss_D: -0.069048 Loss_G: 0.039640 Loss_D_real: -0.045519 Loss_D_fake 0.023529
[30/5000][80/535][2708] Loss_D: -0.068365 Loss_G: 0.012355 Loss_D_real: -0.029692 Loss_D_fake 0.038673
[30/5000][85/535][2709] Loss_D: -0.068719 Loss_G: 0.053182 Loss_D_real: -0.057384 Loss_D_fake 0.011335
[30/5000][90/535][2710] Loss_D: -0.068535 Loss_G: 0.025824 Loss_D_real: -0.032480 Loss_D_fake 0.036055
[30/5000][95/535][2711] Loss_D: -0.070659 Loss_G: 0.013396 Loss_D_real: -0.030029 Loss_D_fake 0.040631
[30/5000][100/535][2712] Loss_D: -0.071184 Loss_G: 0.048176 Loss_D_real: -0.052190 Loss_D_fake 0.018994
[30/5000][105/535][2713] Loss_D: -0.072482 Loss_G: 0.019366 Loss_D_real: -0.031202 Loss_D_fake 0.041281
[30/5000][110/535][2714] Loss_D: -0.067600 Loss_G: 0.053334 Loss_D_real: -0.055209 Loss_D_fake 0.012390
[30/5000][115/535][2715] Loss_D: -0.068696 Loss_G: 0.003509 Loss_D_real: -0.018144 Loss_D_fake 0.050552
[30/5000][120/535][2716] Loss_D: -0.068064 Loss_G: 0.044174 Loss_D_real: -0.048294 Loss_D_fake 0.019769
[30/5000][125/535][2717] Loss_D: -0.066284 Loss_G: 0.038713 Loss_D_real: -0.037512 Loss_D_fake 0.028771
[30/5000][130/535][2718] Loss_D: -0.069130 Loss_G: 0.015021 Loss_D_real: -0.028612 Loss_D_fake 0.040518
[30/5000][135/535][2719] Loss_D: -0.063702 Loss_G: 0.050723 Loss_D_real: -0.056780 Loss_D_fake 0.006921
[30/5000][140/535][2720] Loss_D: -0.066648 Loss_G: 0.008990 Loss_D_real: -0.018039 Loss_D_fake 0.048609
[30/5000][145/535][2721] Loss_D: -0.068934 Loss_G: 0.045492 Loss_D_real: -0.052876 Loss_D_fake 0.016058
[30/5000][150/535][2722] Loss_D: -0.068387 Loss_G: 0.024078 Loss_D_real: -0.032290 Loss_D_fake 0.036097
[30/5000][155/535][2723] Loss_D: -0.070300 Loss_G: 0.050294 Loss_D_real: -0.048187 Loss_D_fake 0.022112
[30/5000][160/535][2724] Loss_D: -0.069668 Loss_G: 0.014790 Loss_D_real: -0.025675 Loss_D_fake 0.043993
[30/5000][165/535][2725] Loss_D: -0.067272 Loss_G: 0.041132 Loss_D_real: -0.042539 Loss_D_fake 0.024733
[30/5000][170/535][2726] Loss_D: -0.069486 Loss_G: 0.018818 Loss_D_real: -0.027954 Loss_D_fake 0.041531
[30/5000][175/535][2727] Loss_D: -0.069583 Loss_G: 0.043818 Loss_D_real: -0.045894 Loss_D_fake 0.023689
[30/5000][180/535][2728] Loss_D: -0.071649 Loss_G: 0.018682 Loss_D_real: -0.031321 Loss_D_fake 0.040328
[30/5000][185/535][2729] Loss_D: -0.069578 Loss_G: 0.056303 Loss_D_real: -0.058908 Loss_D_fake 0.010670
[30/5000][190/535][2730] Loss_D: -0.069154 Loss_G: 0.001164 Loss_D_real: -0.019172 Loss_D_fake 0.049983
[30/5000][195/535][2731] Loss_D: -0.068817 Loss_G: 0.044808 Loss_D_real: -0.053206 Loss_D_fake 0.015611
[30/5000][200/535][2732] Loss_D: -0.066831 Loss_G: 0.054463 Loss_D_real: -0.053949 Loss_D_fake 0.012882
[30/5000][205/535][2733] Loss_D: -0.068152 Loss_G: 0.015539 Loss_D_real: -0.024524 Loss_D_fake 0.043628
[30/5000][210/535][2734] Loss_D: -0.074571 Loss_G: 0.031936 Loss_D_real: -0.042054 Loss_D_fake 0.032517
[30/5000][215/535][2735] Loss_D: -0.068341 Loss_G: 0.032193 Loss_D_real: -0.040384 Loss_D_fake 0.027957
[30/5000][220/535][2736] Loss_D: -0.070847 Loss_G: 0.035307 Loss_D_real: -0.042448 Loss_D_fake 0.028399
[30/5000][225/535][2737] Loss_D: -0.072121 Loss_G: 0.035422 Loss_D_real: -0.042075 Loss_D_fake 0.030047
[30/5000][230/535][2738] Loss_D: -0.072350 Loss_G: 0.020499 Loss_D_real: -0.034071 Loss_D_fake 0.038279
[30/5000][235/535][2739] Loss_D: -0.068311 Loss_G: 0.060736 Loss_D_real: -0.058335 Loss_D_fake 0.009976
[30/5000][240/535][2740] Loss_D: -0.068514 Loss_G: 0.006970 Loss_D_real: -0.020339 Loss_D_fake 0.048175
[30/5000][245/535][2741] Loss_D: -0.067590 Loss_G: 0.043086 Loss_D_real: -0.052369 Loss_D_fake 0.015221
[30/5000][250/535][2742] Loss_D: -0.068534 Loss_G: 0.027743 Loss_D_real: -0.032095 Loss_D_fake 0.036438
[30/5000][255/535][2743] Loss_D: -0.069512 Loss_G: 0.050431 Loss_D_real: -0.050771 Loss_D_fake 0.018741
[30/5000][260/535][2744] Loss_D: -0.068258 Loss_G: 0.000162 Loss_D_real: -0.016804 Loss_D_fake 0.051454
[30/5000][265/535][2745] Loss_D: -0.071010 Loss_G: 0.049769 Loss_D_real: -0.054454 Loss_D_fake 0.016556
[30/5000][270/535][2746] Loss_D: -0.070142 Loss_G: 0.034870 Loss_D_real: -0.038297 Loss_D_fake 0.031846
[30/5000][275/535][2747] Loss_D: -0.069027 Loss_G: 0.010698 Loss_D_real: -0.024126 Loss_D_fake 0.044901
[30/5000][280/535][2748] Loss_D: -0.070649 Loss_G: 0.045808 Loss_D_real: -0.047982 Loss_D_fake 0.022667
[30/5000][285/535][2749] Loss_D: -0.069703 Loss_G: 0.005021 Loss_D_real: -0.021638 Loss_D_fake 0.048065
[30/5000][290/535][2750] Loss_D: -0.069428 Loss_G: 0.054257 Loss_D_real: -0.057644 Loss_D_fake 0.011783
[30/5000][295/535][2751] Loss_D: -0.067606 Loss_G: 0.010662 Loss_D_real: -0.024379 Loss_D_fake 0.043227
[30/5000][300/535][2752] Loss_D: -0.068985 Loss_G: 0.046043 Loss_D_real: -0.049818 Loss_D_fake 0.019166
[30/5000][305/535][2753] Loss_D: -0.067443 Loss_G: 0.007602 Loss_D_real: -0.028081 Loss_D_fake 0.039361
[30/5000][310/535][2754] Loss_D: -0.069937 Loss_G: 0.049427 Loss_D_real: -0.055425 Loss_D_fake 0.014512
[30/5000][315/535][2755] Loss_D: -0.071346 Loss_G: 0.018124 Loss_D_real: -0.031344 Loss_D_fake 0.040001
[30/5000][320/535][2756] Loss_D: -0.067931 Loss_G: 0.048043 Loss_D_real: -0.052331 Loss_D_fake 0.015600
[30/5000][325/535][2757] Loss_D: -0.066365 Loss_G: 0.027284 Loss_D_real: -0.031883 Loss_D_fake 0.034482
[30/5000][330/535][2758] Loss_D: -0.070314 Loss_G: 0.034150 Loss_D_real: -0.038336 Loss_D_fake 0.031978
[30/5000][335/535][2759] Loss_D: -0.069582 Loss_G: 0.032435 Loss_D_real: -0.040214 Loss_D_fake 0.029368
[30/5000][340/535][2760] Loss_D: -0.071619 Loss_G: 0.025693 Loss_D_real: -0.036219 Loss_D_fake 0.035400
[30/5000][345/535][2761] Loss_D: -0.070789 Loss_G: 0.056096 Loss_D_real: -0.057043 Loss_D_fake 0.013746
[30/5000][350/535][2762] Loss_D: -0.065624 Loss_G: 0.004103 Loss_D_real: -0.019457 Loss_D_fake 0.046167
[30/5000][355/535][2763] Loss_D: -0.066630 Loss_G: 0.047021 Loss_D_real: -0.054096 Loss_D_fake 0.012534
[30/5000][360/535][2764] Loss_D: -0.070058 Loss_G: 0.023711 Loss_D_real: -0.031237 Loss_D_fake 0.038821
[30/5000][365/535][2765] Loss_D: -0.072769 Loss_G: 0.044306 Loss_D_real: -0.044365 Loss_D_fake 0.028404
[30/5000][370/535][2766] Loss_D: -0.069286 Loss_G: 0.048986 Loss_D_real: -0.050355 Loss_D_fake 0.018931
[30/5000][375/535][2767] Loss_D: -0.070575 Loss_G: 0.031186 Loss_D_real: -0.033814 Loss_D_fake 0.036761
[30/5000][380/535][2768] Loss_D: -0.071393 Loss_G: 0.036281 Loss_D_real: -0.040647 Loss_D_fake 0.030746
[30/5000][385/535][2769] Loss_D: -0.072083 Loss_G: 0.030670 Loss_D_real: -0.040467 Loss_D_fake 0.031616
[30/5000][390/535][2770] Loss_D: -0.071211 Loss_G: 0.026552 Loss_D_real: -0.039539 Loss_D_fake 0.031672
[30/5000][395/535][2771] Loss_D: -0.071688 Loss_G: 0.030623 Loss_D_real: -0.038867 Loss_D_fake 0.032820
[30/5000][400/535][2772] Loss_D: -0.070814 Loss_G: 0.053395 Loss_D_real: -0.052824 Loss_D_fake 0.017990
[30/5000][405/535][2773] Loss_D: -0.066221 Loss_G: 0.001128 Loss_D_real: -0.013185 Loss_D_fake 0.053035
[30/5000][410/535][2774] Loss_D: -0.065777 Loss_G: 0.054846 Loss_D_real: -0.054156 Loss_D_fake 0.011621
[30/5000][415/535][2775] Loss_D: -0.068021 Loss_G: 0.005896 Loss_D_real: -0.026177 Loss_D_fake 0.041844
[30/5000][420/535][2776] Loss_D: -0.067803 Loss_G: 0.053922 Loss_D_real: -0.058375 Loss_D_fake 0.009427
[30/5000][425/535][2777] Loss_D: -0.070284 Loss_G: 0.005697 Loss_D_real: -0.021887 Loss_D_fake 0.048397
[30/5000][430/535][2778] Loss_D: -0.067650 Loss_G: 0.050683 Loss_D_real: -0.056710 Loss_D_fake 0.010940
[30/5000][435/535][2779] Loss_D: -0.067914 Loss_G: 0.004229 Loss_D_real: -0.019984 Loss_D_fake 0.047930
[30/5000][440/535][2780] Loss_D: -0.068370 Loss_G: 0.049170 Loss_D_real: -0.051644 Loss_D_fake 0.016725
[30/5000][445/535][2781] Loss_D: -0.067829 Loss_G: 0.008693 Loss_D_real: -0.017919 Loss_D_fake 0.049910
[30/5000][450/535][2782] Loss_D: -0.066427 Loss_G: 0.034034 Loss_D_real: -0.043556 Loss_D_fake 0.022871
[30/5000][455/535][2783] Loss_D: -0.068701 Loss_G: 0.018270 Loss_D_real: -0.028188 Loss_D_fake 0.040514
[30/5000][460/535][2784] Loss_D: -0.070590 Loss_G: 0.052203 Loss_D_real: -0.056488 Loss_D_fake 0.014102
[30/5000][465/535][2785] Loss_D: -0.067706 Loss_G: 0.008030 Loss_D_real: -0.020722 Loss_D_fake 0.046984
[30/5000][470/535][2786] Loss_D: -0.068381 Loss_G: 0.034990 Loss_D_real: -0.040926 Loss_D_fake 0.027456
[30/5000][475/535][2787] Loss_D: -0.068693 Loss_G: 0.019248 Loss_D_real: -0.030082 Loss_D_fake 0.038611
[30/5000][480/535][2788] Loss_D: -0.069635 Loss_G: 0.039289 Loss_D_real: -0.048670 Loss_D_fake 0.020965
[30/5000][485/535][2789] Loss_D: -0.065337 Loss_G: 0.013165 Loss_D_real: -0.024936 Loss_D_fake 0.040401
[30/5000][490/535][2790] Loss_D: -0.068373 Loss_G: 0.051210 Loss_D_real: -0.055662 Loss_D_fake 0.012711
[30/5000][495/535][2791] Loss_D: -0.069430 Loss_G: 0.012691 Loss_D_real: -0.026399 Loss_D_fake 0.043031
[30/5000][500/535][2792] Loss_D: -0.069004 Loss_G: 0.035136 Loss_D_real: -0.046229 Loss_D_fake 0.022775
[30/5000][505/535][2793] Loss_D: -0.073217 Loss_G: 0.033576 Loss_D_real: -0.040705 Loss_D_fake 0.032512
[30/5000][510/535][2794] Loss_D: -0.069785 Loss_G: 0.033191 Loss_D_real: -0.040298 Loss_D_fake 0.029488
[30/5000][515/535][2795] Loss_D: -0.068095 Loss_G: 0.004123 Loss_D_real: -0.021575 Loss_D_fake 0.046520
[30/5000][520/535][2796] Loss_D: -0.068709 Loss_G: 0.051410 Loss_D_real: -0.056494 Loss_D_fake 0.012215
[30/5000][525/535][2797] Loss_D: -0.070808 Loss_G: 0.010436 Loss_D_real: -0.031348 Loss_D_fake 0.039459
[30/5000][530/535][2798] Loss_D: -0.068214 Loss_G: 0.050614 Loss_D_real: -0.054297 Loss_D_fake 0.013917
[30/5000][535/535][2799] Loss_D: -0.065625 Loss_G: -0.010718 Loss_D_real: -0.010698 Loss_D_fake 0.054927
[31/5000][5/535][2800] Loss_D: -0.067386 Loss_G: 0.047442 Loss_D_real: -0.050112 Loss_D_fake 0.017274
[31/5000][10/535][2801] Loss_D: -0.066378 Loss_G: 0.031530 Loss_D_real: -0.031633 Loss_D_fake 0.034745
[31/5000][15/535][2802] Loss_D: -0.071496 Loss_G: 0.031793 Loss_D_real: -0.038513 Loss_D_fake 0.032983
[31/5000][20/535][2803] Loss_D: -0.070357 Loss_G: 0.046905 Loss_D_real: -0.048245 Loss_D_fake 0.022111
[31/5000][25/535][2804] Loss_D: -0.069053 Loss_G: 0.017940 Loss_D_real: -0.026125 Loss_D_fake 0.042928
[31/5000][30/535][2805] Loss_D: -0.070401 Loss_G: 0.057719 Loss_D_real: -0.058244 Loss_D_fake 0.012157
[31/5000][35/535][2806] Loss_D: -0.069109 Loss_G: 0.009772 Loss_D_real: -0.024472 Loss_D_fake 0.044637
[31/5000][40/535][2807] Loss_D: -0.067172 Loss_G: 0.058816 Loss_D_real: -0.058920 Loss_D_fake 0.008252
[31/5000][45/535][2808] Loss_D: -0.065879 Loss_G: 0.003655 Loss_D_real: -0.013766 Loss_D_fake 0.052113
[31/5000][50/535][2809] Loss_D: -0.067939 Loss_G: 0.045524 Loss_D_real: -0.050358 Loss_D_fake 0.017581
[31/5000][55/535][2810] Loss_D: -0.069919 Loss_G: 0.025383 Loss_D_real: -0.039032 Loss_D_fake 0.030887
[31/5000][60/535][2811] Loss_D: -0.068006 Loss_G: 0.033424 Loss_D_real: -0.040943 Loss_D_fake 0.027063
[31/5000][65/535][2812] Loss_D: -0.070953 Loss_G: 0.028927 Loss_D_real: -0.033686 Loss_D_fake 0.037268
[31/5000][70/535][2813] Loss_D: -0.066665 Loss_G: 0.010103 Loss_D_real: -0.023556 Loss_D_fake 0.043109
[31/5000][75/535][2814] Loss_D: -0.067383 Loss_G: 0.052367 Loss_D_real: -0.057001 Loss_D_fake 0.010382
[31/5000][80/535][2815] Loss_D: -0.067619 Loss_G: 0.014180 Loss_D_real: -0.021622 Loss_D_fake 0.045997
[31/5000][85/535][2816] Loss_D: -0.068853 Loss_G: 0.023801 Loss_D_real: -0.032881 Loss_D_fake 0.035972
[31/5000][90/535][2817] Loss_D: -0.070035 Loss_G: 0.035948 Loss_D_real: -0.044368 Loss_D_fake 0.025667
[31/5000][95/535][2818] Loss_D: -0.072942 Loss_G: 0.035944 Loss_D_real: -0.042621 Loss_D_fake 0.030321
[31/5000][100/535][2819] Loss_D: -0.068839 Loss_G: 0.036040 Loss_D_real: -0.043061 Loss_D_fake 0.025778
[31/5000][105/535][2820] Loss_D: -0.070446 Loss_G: 0.039589 Loss_D_real: -0.042397 Loss_D_fake 0.028049
[31/5000][110/535][2821] Loss_D: -0.068705 Loss_G: 0.011091 Loss_D_real: -0.024181 Loss_D_fake 0.044524
[31/5000][115/535][2822] Loss_D: -0.067705 Loss_G: 0.052330 Loss_D_real: -0.049966 Loss_D_fake 0.017739
[31/5000][120/535][2823] Loss_D: -0.067745 Loss_G: -0.001766 Loss_D_real: -0.014729 Loss_D_fake 0.053016
[31/5000][125/535][2824] Loss_D: -0.068342 Loss_G: 0.033572 Loss_D_real: -0.038320 Loss_D_fake 0.030023
[31/5000][130/535][2825] Loss_D: -0.067206 Loss_G: 0.034925 Loss_D_real: -0.041102 Loss_D_fake 0.026104
[31/5000][135/535][2826] Loss_D: -0.068688 Loss_G: 0.029751 Loss_D_real: -0.038018 Loss_D_fake 0.030670
[31/5000][140/535][2827] Loss_D: -0.068898 Loss_G: 0.036925 Loss_D_real: -0.039510 Loss_D_fake 0.029388
[31/5000][145/535][2828] Loss_D: -0.072360 Loss_G: 0.035156 Loss_D_real: -0.041850 Loss_D_fake 0.030511
[31/5000][150/535][2829] Loss_D: -0.071252 Loss_G: 0.028626 Loss_D_real: -0.038565 Loss_D_fake 0.032687
[31/5000][155/535][2830] Loss_D: -0.070191 Loss_G: 0.050421 Loss_D_real: -0.052255 Loss_D_fake 0.017936
[31/5000][160/535][2831] Loss_D: -0.062280 Loss_G: -0.010362 Loss_D_real: -0.010887 Loss_D_fake 0.051393
[31/5000][165/535][2832] Loss_D: -0.067574 Loss_G: 0.054174 Loss_D_real: -0.058649 Loss_D_fake 0.008925
[31/5000][170/535][2833] Loss_D: -0.065848 Loss_G: -0.003815 Loss_D_real: -0.014743 Loss_D_fake 0.051105
[31/5000][175/535][2834] Loss_D: -0.065570 Loss_G: 0.043470 Loss_D_real: -0.052773 Loss_D_fake 0.012797
[31/5000][180/535][2835] Loss_D: -0.065116 Loss_G: 0.049566 Loss_D_real: -0.049355 Loss_D_fake 0.015761
[31/5000][185/535][2836] Loss_D: -0.068254 Loss_G: 0.020094 Loss_D_real: -0.027700 Loss_D_fake 0.040554
[31/5000][190/535][2837] Loss_D: -0.067471 Loss_G: 0.044111 Loss_D_real: -0.047985 Loss_D_fake 0.019486
[31/5000][195/535][2838] Loss_D: -0.070350 Loss_G: 0.049275 Loss_D_real: -0.047686 Loss_D_fake 0.022663
[31/5000][200/535][2839] Loss_D: -0.069922 Loss_G: 0.008743 Loss_D_real: -0.023434 Loss_D_fake 0.046488
[31/5000][205/535][2840] Loss_D: -0.069066 Loss_G: 0.046136 Loss_D_real: -0.048878 Loss_D_fake 0.020188
[31/5000][210/535][2841] Loss_D: -0.071042 Loss_G: 0.025144 Loss_D_real: -0.032034 Loss_D_fake 0.039008
[31/5000][215/535][2842] Loss_D: -0.068954 Loss_G: 0.028259 Loss_D_real: -0.039575 Loss_D_fake 0.029380
[31/5000][220/535][2843] Loss_D: -0.066484 Loss_G: 0.060915 Loss_D_real: -0.060399 Loss_D_fake 0.006084
[31/5000][225/535][2844] Loss_D: -0.067199 Loss_G: 0.005234 Loss_D_real: -0.021343 Loss_D_fake 0.045855
[31/5000][230/535][2845] Loss_D: -0.067403 Loss_G: 0.041150 Loss_D_real: -0.050012 Loss_D_fake 0.017391
[31/5000][235/535][2846] Loss_D: -0.069451 Loss_G: 0.013042 Loss_D_real: -0.024050 Loss_D_fake 0.045401
[31/5000][240/535][2847] Loss_D: -0.069042 Loss_G: 0.054982 Loss_D_real: -0.057080 Loss_D_fake 0.011962
[31/5000][245/535][2848] Loss_D: -0.069696 Loss_G: 0.010828 Loss_D_real: -0.023387 Loss_D_fake 0.046309
[31/5000][250/535][2849] Loss_D: -0.067424 Loss_G: 0.047584 Loss_D_real: -0.052814 Loss_D_fake 0.014610
[31/5000][255/535][2850] Loss_D: -0.070906 Loss_G: 0.025122 Loss_D_real: -0.031512 Loss_D_fake 0.039394
[31/5000][260/535][2851] Loss_D: -0.071695 Loss_G: 0.036942 Loss_D_real: -0.043187 Loss_D_fake 0.028509
[31/5000][265/535][2852] Loss_D: -0.069514 Loss_G: 0.031435 Loss_D_real: -0.038963 Loss_D_fake 0.030551
[31/5000][270/535][2853] Loss_D: -0.071577 Loss_G: 0.031124 Loss_D_real: -0.038004 Loss_D_fake 0.033573
[31/5000][275/535][2854] Loss_D: -0.068135 Loss_G: 0.020948 Loss_D_real: -0.034054 Loss_D_fake 0.034081
[31/5000][280/535][2855] Loss_D: -0.067090 Loss_G: 0.061257 Loss_D_real: -0.056444 Loss_D_fake 0.010646
[31/5000][285/535][2856] Loss_D: -0.066128 Loss_G: 0.006001 Loss_D_real: -0.014533 Loss_D_fake 0.051595
[31/5000][290/535][2857] Loss_D: -0.066322 Loss_G: 0.048565 Loss_D_real: -0.054831 Loss_D_fake 0.011490
[31/5000][295/535][2858] Loss_D: -0.067955 Loss_G: 0.018581 Loss_D_real: -0.028066 Loss_D_fake 0.039889
[31/5000][300/535][2859] Loss_D: -0.068306 Loss_G: 0.048009 Loss_D_real: -0.051048 Loss_D_fake 0.017258
[31/5000][305/535][2860] Loss_D: -0.067585 Loss_G: 0.021223 Loss_D_real: -0.027466 Loss_D_fake 0.040120
[31/5000][310/535][2861] Loss_D: -0.070244 Loss_G: 0.029136 Loss_D_real: -0.039271 Loss_D_fake 0.030973
[31/5000][315/535][2862] Loss_D: -0.069839 Loss_G: 0.036113 Loss_D_real: -0.037851 Loss_D_fake 0.031988
[31/5000][320/535][2863] Loss_D: -0.068258 Loss_G: 0.022515 Loss_D_real: -0.032946 Loss_D_fake 0.035312
[31/5000][325/535][2864] Loss_D: -0.068736 Loss_G: 0.013065 Loss_D_real: -0.030494 Loss_D_fake 0.038242
[31/5000][330/535][2865] Loss_D: -0.064944 Loss_G: 0.058186 Loss_D_real: -0.058179 Loss_D_fake 0.006765
[31/5000][335/535][2866] Loss_D: -0.066747 Loss_G: 0.002413 Loss_D_real: -0.017858 Loss_D_fake 0.048888
[31/5000][340/535][2867] Loss_D: -0.065702 Loss_G: 0.045478 Loss_D_real: -0.054353 Loss_D_fake 0.011348
[31/5000][345/535][2868] Loss_D: -0.067906 Loss_G: 0.022611 Loss_D_real: -0.032383 Loss_D_fake 0.035523
[31/5000][350/535][2869] Loss_D: -0.068294 Loss_G: 0.041578 Loss_D_real: -0.045276 Loss_D_fake 0.023018
[31/5000][355/535][2870] Loss_D: -0.067677 Loss_G: 0.012994 Loss_D_real: -0.026157 Loss_D_fake 0.041520
[31/5000][360/535][2871] Loss_D: -0.068492 Loss_G: 0.042602 Loss_D_real: -0.044875 Loss_D_fake 0.023617
[31/5000][365/535][2872] Loss_D: -0.067979 Loss_G: 0.006421 Loss_D_real: -0.021437 Loss_D_fake 0.046541
[31/5000][370/535][2873] Loss_D: -0.066445 Loss_G: 0.045990 Loss_D_real: -0.051725 Loss_D_fake 0.014720
[31/5000][375/535][2874] Loss_D: -0.069319 Loss_G: 0.009766 Loss_D_real: -0.020209 Loss_D_fake 0.049110
[31/5000][380/535][2875] Loss_D: -0.068325 Loss_G: 0.052556 Loss_D_real: -0.058677 Loss_D_fake 0.009647
[31/5000][385/535][2876] Loss_D: -0.068218 Loss_G: 0.021050 Loss_D_real: -0.026674 Loss_D_fake 0.041544
[31/5000][390/535][2877] Loss_D: -0.068488 Loss_G: 0.046027 Loss_D_real: -0.051307 Loss_D_fake 0.017181
[31/5000][395/535][2878] Loss_D: -0.071803 Loss_G: 0.024819 Loss_D_real: -0.029322 Loss_D_fake 0.042481
[31/5000][400/535][2879] Loss_D: -0.070274 Loss_G: 0.032282 Loss_D_real: -0.041299 Loss_D_fake 0.028975
[31/5000][405/535][2880] Loss_D: -0.066496 Loss_G: 0.049998 Loss_D_real: -0.051474 Loss_D_fake 0.015022
[31/5000][410/535][2881] Loss_D: -0.069266 Loss_G: 0.025837 Loss_D_real: -0.033705 Loss_D_fake 0.035561
[31/5000][415/535][2882] Loss_D: -0.069543 Loss_G: 0.045609 Loss_D_real: -0.048651 Loss_D_fake 0.020892
[31/5000][420/535][2883] Loss_D: -0.070195 Loss_G: 0.022144 Loss_D_real: -0.035136 Loss_D_fake 0.035059
[31/5000][425/535][2884] Loss_D: -0.064928 Loss_G: 0.057591 Loss_D_real: -0.057970 Loss_D_fake 0.006957
[31/5000][430/535][2885] Loss_D: -0.067300 Loss_G: 0.002388 Loss_D_real: -0.018478 Loss_D_fake 0.048821
[31/5000][435/535][2886] Loss_D: -0.067917 Loss_G: 0.038999 Loss_D_real: -0.045481 Loss_D_fake 0.022436
[31/5000][440/535][2887] Loss_D: -0.065988 Loss_G: 0.018646 Loss_D_real: -0.029583 Loss_D_fake 0.036405
[31/5000][445/535][2888] Loss_D: -0.066722 Loss_G: 0.037493 Loss_D_real: -0.044152 Loss_D_fake 0.022570
[31/5000][450/535][2889] Loss_D: -0.070307 Loss_G: 0.027732 Loss_D_real: -0.040379 Loss_D_fake 0.029928
[31/5000][455/535][2890] Loss_D: -0.070246 Loss_G: 0.025070 Loss_D_real: -0.036189 Loss_D_fake 0.034057
[31/5000][460/535][2891] Loss_D: -0.068640 Loss_G: 0.048560 Loss_D_real: -0.047901 Loss_D_fake 0.020740
[31/5000][465/535][2892] Loss_D: -0.068568 Loss_G: -0.003047 Loss_D_real: -0.015357 Loss_D_fake 0.053210
[31/5000][470/535][2893] Loss_D: -0.066291 Loss_G: 0.059696 Loss_D_real: -0.063706 Loss_D_fake 0.002585
[31/5000][475/535][2894] Loss_D: -0.067490 Loss_G: 0.013304 Loss_D_real: -0.023503 Loss_D_fake 0.043987
[31/5000][480/535][2895] Loss_D: -0.066331 Loss_G: 0.045626 Loss_D_real: -0.052701 Loss_D_fake 0.013630
[31/5000][485/535][2896] Loss_D: -0.071239 Loss_G: 0.018434 Loss_D_real: -0.028053 Loss_D_fake 0.043186
[31/5000][490/535][2897] Loss_D: -0.070074 Loss_G: 0.048424 Loss_D_real: -0.047687 Loss_D_fake 0.022387
[31/5000][495/535][2898] Loss_D: -0.070241 Loss_G: 0.034250 Loss_D_real: -0.037774 Loss_D_fake 0.032467
[31/5000][500/535][2899] Loss_D: -0.070178 Loss_G: 0.022105 Loss_D_real: -0.027839 Loss_D_fake 0.042340
[31/5000][505/535][2900] Loss_D: -0.069784 Loss_G: 0.037888 Loss_D_real: -0.043620 Loss_D_fake 0.026165
[31/5000][510/535][2901] Loss_D: -0.070427 Loss_G: 0.029790 Loss_D_real: -0.036974 Loss_D_fake 0.033453
[31/5000][515/535][2902] Loss_D: -0.070036 Loss_G: 0.047717 Loss_D_real: -0.049748 Loss_D_fake 0.020289
[31/5000][520/535][2903] Loss_D: -0.067490 Loss_G: 0.006895 Loss_D_real: -0.021229 Loss_D_fake 0.046260
[31/5000][525/535][2904] Loss_D: -0.066260 Loss_G: 0.054420 Loss_D_real: -0.062408 Loss_D_fake 0.003852
[31/5000][530/535][2905] Loss_D: -0.064384 Loss_G: 0.013967 Loss_D_real: -0.024803 Loss_D_fake 0.039581
[31/5000][535/535][2906] Loss_D: -0.066455 Loss_G: 0.040219 Loss_D_real: -0.048693 Loss_D_fake 0.017762
[32/5000][5/535][2907] Loss_D: -0.067839 Loss_G: 0.022074 Loss_D_real: -0.034089 Loss_D_fake 0.033750
[32/5000][10/535][2908] Loss_D: -0.069860 Loss_G: 0.034573 Loss_D_real: -0.044660 Loss_D_fake 0.025200
[32/5000][15/535][2909] Loss_D: -0.064978 Loss_G: 0.014688 Loss_D_real: -0.021563 Loss_D_fake 0.043415
[32/5000][20/535][2910] Loss_D: -0.067384 Loss_G: 0.041994 Loss_D_real: -0.051011 Loss_D_fake 0.016373
[32/5000][25/535][2911] Loss_D: -0.066033 Loss_G: 0.014075 Loss_D_real: -0.025612 Loss_D_fake 0.040420
[32/5000][30/535][2912] Loss_D: -0.065041 Loss_G: 0.043257 Loss_D_real: -0.042739 Loss_D_fake 0.022302
[32/5000][35/535][2913] Loss_D: -0.064405 Loss_G: 0.002626 Loss_D_real: -0.015334 Loss_D_fake 0.049071
[32/5000][40/535][2914] Loss_D: -0.064130 Loss_G: 0.048190 Loss_D_real: -0.054439 Loss_D_fake 0.009692
[32/5000][45/535][2915] Loss_D: -0.067533 Loss_G: 0.012611 Loss_D_real: -0.025705 Loss_D_fake 0.041829
[32/5000][50/535][2916] Loss_D: -0.065076 Loss_G: 0.037915 Loss_D_real: -0.045931 Loss_D_fake 0.019146
[32/5000][55/535][2917] Loss_D: -0.066144 Loss_G: 0.027591 Loss_D_real: -0.031751 Loss_D_fake 0.034392
[32/5000][60/535][2918] Loss_D: -0.065604 Loss_G: 0.021484 Loss_D_real: -0.030393 Loss_D_fake 0.035211
[32/5000][65/535][2919] Loss_D: -0.064894 Loss_G: 0.033718 Loss_D_real: -0.039167 Loss_D_fake 0.025727
[32/5000][70/535][2920] Loss_D: -0.064204 Loss_G: 0.016659 Loss_D_real: -0.029206 Loss_D_fake 0.034998
[32/5000][75/535][2921] Loss_D: -0.066004 Loss_G: 0.048418 Loss_D_real: -0.049161 Loss_D_fake 0.016843
[32/5000][80/535][2922] Loss_D: -0.065938 Loss_G: 0.010046 Loss_D_real: -0.023080 Loss_D_fake 0.042858
[32/5000][85/535][2923] Loss_D: -0.068063 Loss_G: 0.039933 Loss_D_real: -0.050969 Loss_D_fake 0.017094
[32/5000][90/535][2924] Loss_D: -0.064553 Loss_G: 0.048332 Loss_D_real: -0.048644 Loss_D_fake 0.015909
[32/5000][95/535][2925] Loss_D: -0.064094 Loss_G: 0.008935 Loss_D_real: -0.019024 Loss_D_fake 0.045070
[32/5000][100/535][2926] Loss_D: -0.065136 Loss_G: 0.048078 Loss_D_real: -0.054788 Loss_D_fake 0.010348
[32/5000][105/535][2927] Loss_D: -0.068332 Loss_G: 0.005189 Loss_D_real: -0.020653 Loss_D_fake 0.047679
[32/5000][110/535][2928] Loss_D: -0.067749 Loss_G: 0.047084 Loss_D_real: -0.052463 Loss_D_fake 0.015286
[32/5000][115/535][2929] Loss_D: -0.069743 Loss_G: 0.024668 Loss_D_real: -0.033388 Loss_D_fake 0.036356
[32/5000][120/535][2930] Loss_D: -0.069344 Loss_G: 0.057257 Loss_D_real: -0.055662 Loss_D_fake 0.013682
[32/5000][125/535][2931] Loss_D: -0.070436 Loss_G: 0.022852 Loss_D_real: -0.029922 Loss_D_fake 0.040514
[32/5000][130/535][2932] Loss_D: -0.071005 Loss_G: 0.045010 Loss_D_real: -0.046084 Loss_D_fake 0.024922
[32/5000][135/535][2933] Loss_D: -0.067295 Loss_G: 0.048234 Loss_D_real: -0.044185 Loss_D_fake 0.023110
[32/5000][140/535][2934] Loss_D: -0.067334 Loss_G: 0.013458 Loss_D_real: -0.023834 Loss_D_fake 0.043500
[32/5000][145/535][2935] Loss_D: -0.064122 Loss_G: 0.059071 Loss_D_real: -0.059764 Loss_D_fake 0.004358
[32/5000][150/535][2936] Loss_D: -0.065974 Loss_G: 0.001196 Loss_D_real: -0.013512 Loss_D_fake 0.052462
[32/5000][155/535][2937] Loss_D: -0.064462 Loss_G: 0.047248 Loss_D_real: -0.052807 Loss_D_fake 0.011655
[32/5000][160/535][2938] Loss_D: -0.066139 Loss_G: 0.007310 Loss_D_real: -0.014774 Loss_D_fake 0.051365
[32/5000][165/535][2939] Loss_D: -0.068970 Loss_G: 0.040449 Loss_D_real: -0.045134 Loss_D_fake 0.023836
[32/5000][170/535][2940] Loss_D: -0.066200 Loss_G: 0.017508 Loss_D_real: -0.026896 Loss_D_fake 0.039304
[32/5000][175/535][2941] Loss_D: -0.070549 Loss_G: 0.041732 Loss_D_real: -0.047766 Loss_D_fake 0.022783
[32/5000][180/535][2942] Loss_D: -0.068582 Loss_G: 0.018397 Loss_D_real: -0.030918 Loss_D_fake 0.037663
[32/5000][185/535][2943] Loss_D: -0.070415 Loss_G: 0.032965 Loss_D_real: -0.037557 Loss_D_fake 0.032858
[32/5000][190/535][2944] Loss_D: -0.069998 Loss_G: 0.047561 Loss_D_real: -0.049421 Loss_D_fake 0.020577
[32/5000][195/535][2945] Loss_D: -0.071003 Loss_G: 0.018501 Loss_D_real: -0.033723 Loss_D_fake 0.037280
[32/5000][200/535][2946] Loss_D: -0.066259 Loss_G: 0.063367 Loss_D_real: -0.062924 Loss_D_fake 0.003335
[32/5000][205/535][2947] Loss_D: -0.065032 Loss_G: 0.010280 Loss_D_real: -0.017914 Loss_D_fake 0.047118
[32/5000][210/535][2948] Loss_D: -0.067130 Loss_G: 0.041216 Loss_D_real: -0.047104 Loss_D_fake 0.020026
[32/5000][215/535][2949] Loss_D: -0.071721 Loss_G: 0.026818 Loss_D_real: -0.037093 Loss_D_fake 0.034629
[32/5000][220/535][2950] Loss_D: -0.066340 Loss_G: 0.046767 Loss_D_real: -0.047081 Loss_D_fake 0.019259
[32/5000][225/535][2951] Loss_D: -0.068338 Loss_G: 0.011717 Loss_D_real: -0.027865 Loss_D_fake 0.040473
[32/5000][230/535][2952] Loss_D: -0.069741 Loss_G: 0.050600 Loss_D_real: -0.055129 Loss_D_fake 0.014612
[32/5000][235/535][2953] Loss_D: -0.072911 Loss_G: 0.013683 Loss_D_real: -0.029756 Loss_D_fake 0.043155
[32/5000][240/535][2954] Loss_D: -0.065436 Loss_G: 0.057720 Loss_D_real: -0.059435 Loss_D_fake 0.006000
[32/5000][245/535][2955] Loss_D: -0.067786 Loss_G: 0.003318 Loss_D_real: -0.019961 Loss_D_fake 0.047825
[32/5000][250/535][2956] Loss_D: -0.068502 Loss_G: 0.042537 Loss_D_real: -0.052762 Loss_D_fake 0.015740
[32/5000][255/535][2957] Loss_D: -0.068302 Loss_G: 0.028262 Loss_D_real: -0.035742 Loss_D_fake 0.032560
[32/5000][260/535][2958] Loss_D: -0.068063 Loss_G: 0.052226 Loss_D_real: -0.052805 Loss_D_fake 0.015258
[32/5000][265/535][2959] Loss_D: -0.068296 Loss_G: 0.008071 Loss_D_real: -0.021868 Loss_D_fake 0.046427
[32/5000][270/535][2960] Loss_D: -0.068807 Loss_G: 0.035826 Loss_D_real: -0.049321 Loss_D_fake 0.019485
[32/5000][275/535][2961] Loss_D: -0.067184 Loss_G: 0.032126 Loss_D_real: -0.037227 Loss_D_fake 0.029958
[32/5000][280/535][2962] Loss_D: -0.069544 Loss_G: 0.041670 Loss_D_real: -0.044839 Loss_D_fake 0.024706
[32/5000][285/535][2963] Loss_D: -0.070416 Loss_G: 0.027333 Loss_D_real: -0.038711 Loss_D_fake 0.031705
[32/5000][290/535][2964] Loss_D: -0.067328 Loss_G: 0.055108 Loss_D_real: -0.057476 Loss_D_fake 0.009853
[32/5000][295/535][2965] Loss_D: -0.065334 Loss_G: 0.004075 Loss_D_real: -0.014130 Loss_D_fake 0.051205
[32/5000][300/535][2966] Loss_D: -0.067032 Loss_G: 0.030803 Loss_D_real: -0.038484 Loss_D_fake 0.028548
[32/5000][305/535][2967] Loss_D: -0.066160 Loss_G: 0.029885 Loss_D_real: -0.038537 Loss_D_fake 0.027623
[32/5000][310/535][2968] Loss_D: -0.066744 Loss_G: 0.042446 Loss_D_real: -0.047133 Loss_D_fake 0.019611
[32/5000][315/535][2969] Loss_D: -0.067729 Loss_G: 0.020667 Loss_D_real: -0.032900 Loss_D_fake 0.034830
[32/5000][320/535][2970] Loss_D: -0.070242 Loss_G: 0.037690 Loss_D_real: -0.042857 Loss_D_fake 0.027385
[32/5000][325/535][2971] Loss_D: -0.070051 Loss_G: 0.018508 Loss_D_real: -0.028002 Loss_D_fake 0.042048
[32/5000][330/535][2972] Loss_D: -0.065236 Loss_G: 0.056109 Loss_D_real: -0.058875 Loss_D_fake 0.006361
[32/5000][335/535][2973] Loss_D: -0.064277 Loss_G: -0.005089 Loss_D_real: -0.011056 Loss_D_fake 0.053222
[32/5000][340/535][2974] Loss_D: -0.063198 Loss_G: 0.053133 Loss_D_real: -0.058466 Loss_D_fake 0.004732
[32/5000][345/535][2975] Loss_D: -0.067787 Loss_G: 0.036356 Loss_D_real: -0.043127 Loss_D_fake 0.024660
[32/5000][350/535][2976] Loss_D: -0.065130 Loss_G: 0.048421 Loss_D_real: -0.050627 Loss_D_fake 0.014503
[32/5000][355/535][2977] Loss_D: -0.065152 Loss_G: 0.011345 Loss_D_real: -0.019698 Loss_D_fake 0.045454
[32/5000][360/535][2978] Loss_D: -0.065709 Loss_G: 0.021329 Loss_D_real: -0.030116 Loss_D_fake 0.035593
[32/5000][365/535][2979] Loss_D: -0.065095 Loss_G: 0.054103 Loss_D_real: -0.058383 Loss_D_fake 0.006712
[32/5000][370/535][2980] Loss_D: -0.066670 Loss_G: 0.013657 Loss_D_real: -0.018635 Loss_D_fake 0.048035
[32/5000][375/535][2981] Loss_D: -0.069305 Loss_G: 0.046826 Loss_D_real: -0.051940 Loss_D_fake 0.017365
[32/5000][380/535][2982] Loss_D: -0.066387 Loss_G: 0.013912 Loss_D_real: -0.027950 Loss_D_fake 0.038436
[32/5000][385/535][2983] Loss_D: -0.068425 Loss_G: 0.042302 Loss_D_real: -0.046648 Loss_D_fake 0.021777
[32/5000][390/535][2984] Loss_D: -0.068727 Loss_G: 0.013582 Loss_D_real: -0.026762 Loss_D_fake 0.041966
[32/5000][395/535][2985] Loss_D: -0.067724 Loss_G: 0.031020 Loss_D_real: -0.042130 Loss_D_fake 0.025594
[32/5000][400/535][2986] Loss_D: -0.070296 Loss_G: 0.041001 Loss_D_real: -0.048048 Loss_D_fake 0.022248
[32/5000][405/535][2987] Loss_D: -0.069927 Loss_G: 0.020872 Loss_D_real: -0.030178 Loss_D_fake 0.039749
[32/5000][410/535][2988] Loss_D: -0.070695 Loss_G: 0.040402 Loss_D_real: -0.044763 Loss_D_fake 0.025932
[32/5000][415/535][2989] Loss_D: -0.069364 Loss_G: 0.015486 Loss_D_real: -0.029326 Loss_D_fake 0.040038
[32/5000][420/535][2990] Loss_D: -0.068345 Loss_G: 0.042040 Loss_D_real: -0.047380 Loss_D_fake 0.020965
[32/5000][425/535][2991] Loss_D: -0.065664 Loss_G: -0.006552 Loss_D_real: -0.016184 Loss_D_fake 0.049480
[32/5000][430/535][2992] Loss_D: -0.062480 Loss_G: 0.050303 Loss_D_real: -0.055045 Loss_D_fake 0.007435
[32/5000][435/535][2993] Loss_D: -0.065103 Loss_G: 0.010334 Loss_D_real: -0.024994 Loss_D_fake 0.040109
[32/5000][440/535][2994] Loss_D: -0.066056 Loss_G: 0.040233 Loss_D_real: -0.045517 Loss_D_fake 0.020539
[32/5000][445/535][2995] Loss_D: -0.065107 Loss_G: -0.001066 Loss_D_real: -0.014473 Loss_D_fake 0.050634
[32/5000][450/535][2996] Loss_D: -0.065429 Loss_G: 0.043680 Loss_D_real: -0.050708 Loss_D_fake 0.014721
[32/5000][455/535][2997] Loss_D: -0.067984 Loss_G: 0.031345 Loss_D_real: -0.036806 Loss_D_fake 0.031178
[32/5000][460/535][2998] Loss_D: -0.070074 Loss_G: 0.041410 Loss_D_real: -0.045755 Loss_D_fake 0.024320
[32/5000][465/535][2999] Loss_D: -0.065084 Loss_G: 0.030513 Loss_D_real: -0.033240 Loss_D_fake 0.031844
[32/5000][470/535][3000] Loss_D: -0.069417 Loss_G: 0.035885 Loss_D_real: -0.041285 Loss_D_fake 0.028132
[32/5000][535/535][3001] Loss_D: -0.069063 Loss_G: 0.053644 Loss_D_real: -0.054195 Loss_D_fake 0.014868
[33/5000][5/535][3002] Loss_D: -0.069856 Loss_G: 0.027171 Loss_D_real: -0.032443 Loss_D_fake 0.037413
[33/5000][10/535][3003] Loss_D: -0.068036 Loss_G: 0.025340 Loss_D_real: -0.037205 Loss_D_fake 0.030830
[33/5000][15/535][3004] Loss_D: -0.068055 Loss_G: 0.027844 Loss_D_real: -0.038069 Loss_D_fake 0.029986
[33/5000][20/535][3005] Loss_D: -0.066509 Loss_G: 0.051417 Loss_D_real: -0.056544 Loss_D_fake 0.009966
[33/5000][25/535][3006] Loss_D: -0.068608 Loss_G: 0.011645 Loss_D_real: -0.024127 Loss_D_fake 0.044481
[33/5000][30/535][3007] Loss_D: -0.067120 Loss_G: 0.040051 Loss_D_real: -0.046820 Loss_D_fake 0.020301
[33/5000][35/535][3008] Loss_D: -0.069017 Loss_G: 0.022608 Loss_D_real: -0.036410 Loss_D_fake 0.032607
[33/5000][40/535][3009] Loss_D: -0.066576 Loss_G: 0.040104 Loss_D_real: -0.045311 Loss_D_fake 0.021265
[33/5000][45/535][3010] Loss_D: -0.067694 Loss_G: 0.051143 Loss_D_real: -0.052372 Loss_D_fake 0.015322
[33/5000][50/535][3011] Loss_D: -0.067410 Loss_G: 0.004377 Loss_D_real: -0.017548 Loss_D_fake 0.049862
[33/5000][55/535][3012] Loss_D: -0.061176 Loss_G: 0.058897 Loss_D_real: -0.062319 Loss_D_fake -0.001143
[33/5000][60/535][3013] Loss_D: -0.066728 Loss_G: 0.016274 Loss_D_real: -0.024954 Loss_D_fake 0.041774
[33/5000][65/535][3014] Loss_D: -0.066826 Loss_G: 0.041302 Loss_D_real: -0.046867 Loss_D_fake 0.019958
[33/5000][70/535][3015] Loss_D: -0.067346 Loss_G: 0.014687 Loss_D_real: -0.024216 Loss_D_fake 0.043131
[33/5000][75/535][3016] Loss_D: -0.066586 Loss_G: 0.052688 Loss_D_real: -0.056975 Loss_D_fake 0.009611
[33/5000][80/535][3017] Loss_D: -0.067157 Loss_G: 0.012158 Loss_D_real: -0.024271 Loss_D_fake 0.042885
[33/5000][85/535][3018] Loss_D: -0.067115 Loss_G: 0.039781 Loss_D_real: -0.046072 Loss_D_fake 0.021044
[33/5000][90/535][3019] Loss_D: -0.068879 Loss_G: 0.027315 Loss_D_real: -0.031385 Loss_D_fake 0.037493
[33/5000][95/535][3020] Loss_D: -0.069106 Loss_G: 0.042895 Loss_D_real: -0.046489 Loss_D_fake 0.022617
[33/5000][100/535][3021] Loss_D: -0.067312 Loss_G: 0.020861 Loss_D_real: -0.032022 Loss_D_fake 0.035290
[33/5000][105/535][3022] Loss_D: -0.068597 Loss_G: 0.046254 Loss_D_real: -0.045051 Loss_D_fake 0.023546
[33/5000][110/535][3023] Loss_D: -0.066752 Loss_G: 0.021814 Loss_D_real: -0.030267 Loss_D_fake 0.036485
[33/5000][115/535][3024] Loss_D: -0.065425 Loss_G: 0.050831 Loss_D_real: -0.056827 Loss_D_fake 0.008597
[33/5000][120/535][3025] Loss_D: -0.062789 Loss_G: -0.003346 Loss_D_real: -0.003924 Loss_D_fake 0.058865
[33/5000][125/535][3026] Loss_D: -0.065253 Loss_G: 0.049509 Loss_D_real: -0.054364 Loss_D_fake 0.010889
[33/5000][130/535][3027] Loss_D: -0.070564 Loss_G: 0.020230 Loss_D_real: -0.031398 Loss_D_fake 0.039165
[33/5000][135/535][3028] Loss_D: -0.067981 Loss_G: 0.029856 Loss_D_real: -0.041507 Loss_D_fake 0.026474
[33/5000][140/535][3029] Loss_D: -0.067415 Loss_G: 0.054167 Loss_D_real: -0.054345 Loss_D_fake 0.013069
[33/5000][145/535][3030] Loss_D: -0.067121 Loss_G: 0.020638 Loss_D_real: -0.031969 Loss_D_fake 0.035151
[33/5000][150/535][3031] Loss_D: -0.068906 Loss_G: 0.034533 Loss_D_real: -0.040373 Loss_D_fake 0.028533
[33/5000][155/535][3032] Loss_D: -0.069342 Loss_G: 0.017509 Loss_D_real: -0.027471 Loss_D_fake 0.041871
[33/5000][160/535][3033] Loss_D: -0.064581 Loss_G: 0.058241 Loss_D_real: -0.062280 Loss_D_fake 0.002302
[33/5000][165/535][3034] Loss_D: -0.065020 Loss_G: 0.023800 Loss_D_real: -0.028178 Loss_D_fake 0.036842
[33/5000][170/535][3035] Loss_D: -0.066799 Loss_G: 0.033715 Loss_D_real: -0.042453 Loss_D_fake 0.024345
[33/5000][175/535][3036] Loss_D: -0.067225 Loss_G: 0.021500 Loss_D_real: -0.032946 Loss_D_fake 0.034279
[33/5000][180/535][3037] Loss_D: -0.067439 Loss_G: 0.053573 Loss_D_real: -0.053132 Loss_D_fake 0.014307
[33/5000][185/535][3038] Loss_D: -0.066405 Loss_G: 0.008260 Loss_D_real: -0.018891 Loss_D_fake 0.047514
[33/5000][190/535][3039] Loss_D: -0.065210 Loss_G: 0.041601 Loss_D_real: -0.051529 Loss_D_fake 0.013681
[33/5000][195/535][3040] Loss_D: -0.064843 Loss_G: 0.002547 Loss_D_real: -0.016585 Loss_D_fake 0.048258
[33/5000][200/535][3041] Loss_D: -0.066566 Loss_G: 0.053991 Loss_D_real: -0.057529 Loss_D_fake 0.009037
[33/5000][205/535][3042] Loss_D: -0.066121 Loss_G: 0.007678 Loss_D_real: -0.020748 Loss_D_fake 0.045372
[33/5000][210/535][3043] Loss_D: -0.066751 Loss_G: 0.040218 Loss_D_real: -0.044241 Loss_D_fake 0.022510
[33/5000][215/535][3044] Loss_D: -0.066237 Loss_G: 0.039687 Loss_D_real: -0.041646 Loss_D_fake 0.024591
[33/5000][220/535][3045] Loss_D: -0.066523 Loss_G: 0.012656 Loss_D_real: -0.023607 Loss_D_fake 0.042917
[33/5000][225/535][3046] Loss_D: -0.064998 Loss_G: 0.054065 Loss_D_real: -0.063695 Loss_D_fake 0.001303
[33/5000][230/535][3047] Loss_D: -0.066011 Loss_G: 0.009473 Loss_D_real: -0.022287 Loss_D_fake 0.043724
[33/5000][235/535][3048] Loss_D: -0.065557 Loss_G: 0.053014 Loss_D_real: -0.054138 Loss_D_fake 0.011418
[33/5000][240/535][3049] Loss_D: -0.068700 Loss_G: 0.024825 Loss_D_real: -0.030896 Loss_D_fake 0.037803
[33/5000][245/535][3050] Loss_D: -0.066847 Loss_G: 0.031138 Loss_D_real: -0.032334 Loss_D_fake 0.034513
[33/5000][250/535][3051] Loss_D: -0.068347 Loss_G: 0.039509 Loss_D_real: -0.044875 Loss_D_fake 0.023473
[33/5000][255/535][3052] Loss_D: -0.067153 Loss_G: 0.005745 Loss_D_real: -0.019690 Loss_D_fake 0.047463
[33/5000][260/535][3053] Loss_D: -0.067451 Loss_G: 0.051080 Loss_D_real: -0.050145 Loss_D_fake 0.017306
[33/5000][265/535][3054] Loss_D: -0.067682 Loss_G: 0.023409 Loss_D_real: -0.033106 Loss_D_fake 0.034576
[33/5000][270/535][3055] Loss_D: -0.068040 Loss_G: 0.027720 Loss_D_real: -0.035857 Loss_D_fake 0.032183
[33/5000][275/535][3056] Loss_D: -0.068648 Loss_G: 0.049070 Loss_D_real: -0.052370 Loss_D_fake 0.016278
[33/5000][280/535][3057] Loss_D: -0.066171 Loss_G: 0.009032 Loss_D_real: -0.016237 Loss_D_fake 0.049935
[33/5000][285/535][3058] Loss_D: -0.064651 Loss_G: 0.050701 Loss_D_real: -0.057324 Loss_D_fake 0.007327
[33/5000][290/535][3059] Loss_D: -0.065019 Loss_G: -0.000986 Loss_D_real: -0.014657 Loss_D_fake 0.050362
[33/5000][295/535][3060] Loss_D: -0.067315 Loss_G: 0.040567 Loss_D_real: -0.047021 Loss_D_fake 0.020295
[33/5000][300/535][3061] Loss_D: -0.068459 Loss_G: 0.023292 Loss_D_real: -0.030121 Loss_D_fake 0.038338
[33/5000][305/535][3062] Loss_D: -0.066184 Loss_G: 0.024440 Loss_D_real: -0.031764 Loss_D_fake 0.034420
[33/5000][310/535][3063] Loss_D: -0.066500 Loss_G: 0.043404 Loss_D_real: -0.043478 Loss_D_fake 0.023021
[33/5000][315/535][3064] Loss_D: -0.067522 Loss_G: 0.008931 Loss_D_real: -0.023063 Loss_D_fake 0.044460
[33/5000][320/535][3065] Loss_D: -0.068546 Loss_G: 0.051548 Loss_D_real: -0.053186 Loss_D_fake 0.015360
[33/5000][325/535][3066] Loss_D: -0.064634 Loss_G: -0.002900 Loss_D_real: -0.013893 Loss_D_fake 0.050741
[33/5000][330/535][3067] Loss_D: -0.067376 Loss_G: 0.043809 Loss_D_real: -0.048990 Loss_D_fake 0.018386
[33/5000][335/535][3068] Loss_D: -0.067568 Loss_G: 0.024401 Loss_D_real: -0.030782 Loss_D_fake 0.036785
[33/5000][340/535][3069] Loss_D: -0.067413 Loss_G: 0.019672 Loss_D_real: -0.032345 Loss_D_fake 0.035067
[33/5000][345/535][3070] Loss_D: -0.067612 Loss_G: 0.014737 Loss_D_real: -0.031854 Loss_D_fake 0.035758
[33/5000][350/535][3071] Loss_D: -0.067195 Loss_G: 0.052291 Loss_D_real: -0.054594 Loss_D_fake 0.012601
[33/5000][355/535][3072] Loss_D: -0.066123 Loss_G: -0.002920 Loss_D_real: -0.018175 Loss_D_fake 0.047948
[33/5000][360/535][3073] Loss_D: -0.064478 Loss_G: 0.040359 Loss_D_real: -0.047644 Loss_D_fake 0.016834
[33/5000][365/535][3074] Loss_D: -0.062398 Loss_G: 0.009893 Loss_D_real: -0.022545 Loss_D_fake 0.039853
[33/5000][370/535][3075] Loss_D: -0.064806 Loss_G: 0.039462 Loss_D_real: -0.045813 Loss_D_fake 0.018993
[33/5000][375/535][3076] Loss_D: -0.066750 Loss_G: 0.033735 Loss_D_real: -0.040193 Loss_D_fake 0.026556
[33/5000][380/535][3077] Loss_D: -0.066464 Loss_G: 0.035001 Loss_D_real: -0.042274 Loss_D_fake 0.024190
[33/5000][385/535][3078] Loss_D: -0.066696 Loss_G: 0.042016 Loss_D_real: -0.042919 Loss_D_fake 0.023777
[33/5000][390/535][3079] Loss_D: -0.067555 Loss_G: 0.010775 Loss_D_real: -0.027122 Loss_D_fake 0.040433
[33/5000][395/535][3080] Loss_D: -0.066481 Loss_G: 0.057015 Loss_D_real: -0.058766 Loss_D_fake 0.007714
[33/5000][400/535][3081] Loss_D: -0.064632 Loss_G: 0.000830 Loss_D_real: -0.015531 Loss_D_fake 0.049101
[33/5000][405/535][3082] Loss_D: -0.062817 Loss_G: 0.050658 Loss_D_real: -0.056556 Loss_D_fake 0.006261
[33/5000][410/535][3083] Loss_D: -0.068932 Loss_G: 0.018784 Loss_D_real: -0.028711 Loss_D_fake 0.040222
[33/5000][415/535][3084] Loss_D: -0.066642 Loss_G: 0.051954 Loss_D_real: -0.056295 Loss_D_fake 0.010347
[33/5000][420/535][3085] Loss_D: -0.069675 Loss_G: 0.018569 Loss_D_real: -0.028907 Loss_D_fake 0.040768
[33/5000][425/535][3086] Loss_D: -0.068181 Loss_G: 0.042950 Loss_D_real: -0.043060 Loss_D_fake 0.025121
[33/5000][430/535][3087] Loss_D: -0.066483 Loss_G: 0.019334 Loss_D_real: -0.027247 Loss_D_fake 0.039236
[33/5000][435/535][3088] Loss_D: -0.070043 Loss_G: 0.031247 Loss_D_real: -0.039814 Loss_D_fake 0.030229
[33/5000][440/535][3089] Loss_D: -0.068381 Loss_G: 0.049354 Loss_D_real: -0.051489 Loss_D_fake 0.016892
[33/5000][445/535][3090] Loss_D: -0.068651 Loss_G: 0.011673 Loss_D_real: -0.028284 Loss_D_fake 0.040367
[33/5000][450/535][3091] Loss_D: -0.065580 Loss_G: 0.045968 Loss_D_real: -0.048702 Loss_D_fake 0.016879
[33/5000][455/535][3092] Loss_D: -0.069351 Loss_G: 0.012202 Loss_D_real: -0.026158 Loss_D_fake 0.043193
[33/5000][460/535][3093] Loss_D: -0.067832 Loss_G: 0.047677 Loss_D_real: -0.050647 Loss_D_fake 0.017185
[33/5000][465/535][3094] Loss_D: -0.068554 Loss_G: -0.000050 Loss_D_real: -0.021985 Loss_D_fake 0.046569
[33/5000][470/535][3095] Loss_D: -0.063858 Loss_G: 0.054613 Loss_D_real: -0.057993 Loss_D_fake 0.005865
[33/5000][475/535][3096] Loss_D: -0.063509 Loss_G: 0.003183 Loss_D_real: -0.018580 Loss_D_fake 0.044929
[33/5000][480/535][3097] Loss_D: -0.064287 Loss_G: 0.033525 Loss_D_real: -0.037830 Loss_D_fake 0.026457
[33/5000][485/535][3098] Loss_D: -0.067182 Loss_G: 0.030369 Loss_D_real: -0.041025 Loss_D_fake 0.026157
[33/5000][490/535][3099] Loss_D: -0.069005 Loss_G: 0.037996 Loss_D_real: -0.042778 Loss_D_fake 0.026227
[33/5000][495/535][3100] Loss_D: -0.069108 Loss_G: 0.023829 Loss_D_real: -0.034043 Loss_D_fake 0.035065
[33/5000][500/535][3101] Loss_D: -0.068406 Loss_G: 0.051094 Loss_D_real: -0.048876 Loss_D_fake 0.019530
[33/5000][505/535][3102] Loss_D: -0.060116 Loss_G: -0.001762 Loss_D_real: -0.006701 Loss_D_fake 0.053415
[33/5000][510/535][3103] Loss_D: -0.065347 Loss_G: 0.042134 Loss_D_real: -0.052758 Loss_D_fake 0.012588
[33/5000][515/535][3104] Loss_D: -0.066041 Loss_G: 0.027659 Loss_D_real: -0.036030 Loss_D_fake 0.030012
[33/5000][520/535][3105] Loss_D: -0.066967 Loss_G: 0.027536 Loss_D_real: -0.035479 Loss_D_fake 0.031488
[33/5000][525/535][3106] Loss_D: -0.068390 Loss_G: 0.035833 Loss_D_real: -0.040298 Loss_D_fake 0.028092
[33/5000][530/535][3107] Loss_D: -0.068875 Loss_G: 0.034962 Loss_D_real: -0.041210 Loss_D_fake 0.027665
[33/5000][535/535][3108] Loss_D: -0.064423 Loss_G: -0.005747 Loss_D_real: -0.016686 Loss_D_fake 0.047737
[34/5000][5/535][3109] Loss_D: -0.061923 Loss_G: 0.057086 Loss_D_real: -0.058690 Loss_D_fake 0.003233
[34/5000][10/535][3110] Loss_D: -0.069730 Loss_G: 0.015460 Loss_D_real: -0.027379 Loss_D_fake 0.042350
[34/5000][15/535][3111] Loss_D: -0.065738 Loss_G: 0.049954 Loss_D_real: -0.051044 Loss_D_fake 0.014694
[34/5000][20/535][3112] Loss_D: -0.062872 Loss_G: 0.001868 Loss_D_real: -0.009630 Loss_D_fake 0.053242
[34/5000][25/535][3113] Loss_D: -0.065104 Loss_G: 0.040595 Loss_D_real: -0.050417 Loss_D_fake 0.014687
[34/5000][30/535][3114] Loss_D: -0.064699 Loss_G: 0.017452 Loss_D_real: -0.026596 Loss_D_fake 0.038103
[34/5000][35/535][3115] Loss_D: -0.064503 Loss_G: 0.029277 Loss_D_real: -0.038900 Loss_D_fake 0.025604
[34/5000][40/535][3116] Loss_D: -0.064116 Loss_G: 0.037470 Loss_D_real: -0.045894 Loss_D_fake 0.018221
[34/5000][45/535][3117] Loss_D: -0.066890 Loss_G: 0.016142 Loss_D_real: -0.024604 Loss_D_fake 0.042285
[34/5000][50/535][3118] Loss_D: -0.069052 Loss_G: 0.044102 Loss_D_real: -0.048932 Loss_D_fake 0.020120
[34/5000][55/535][3119] Loss_D: -0.067329 Loss_G: -0.001233 Loss_D_real: -0.015203 Loss_D_fake 0.052126
[34/5000][60/535][3120] Loss_D: -0.065071 Loss_G: 0.049566 Loss_D_real: -0.056796 Loss_D_fake 0.008274
[34/5000][65/535][3121] Loss_D: -0.066974 Loss_G: 0.008842 Loss_D_real: -0.018885 Loss_D_fake 0.048090
[34/5000][70/535][3122] Loss_D: -0.068677 Loss_G: 0.048413 Loss_D_real: -0.054577 Loss_D_fake 0.014100
[34/5000][75/535][3123] Loss_D: -0.065717 Loss_G: 0.015700 Loss_D_real: -0.026660 Loss_D_fake 0.039057
[34/5000][80/535][3124] Loss_D: -0.068914 Loss_G: 0.037088 Loss_D_real: -0.038780 Loss_D_fake 0.030134
[34/5000][85/535][3125] Loss_D: -0.068063 Loss_G: 0.038742 Loss_D_real: -0.041090 Loss_D_fake 0.026973
[34/5000][90/535][3126] Loss_D: -0.066962 Loss_G: 0.009368 Loss_D_real: -0.024358 Loss_D_fake 0.042604
[34/5000][95/535][3127] Loss_D: -0.064867 Loss_G: 0.059674 Loss_D_real: -0.063130 Loss_D_fake 0.001738
[34/5000][100/535][3128] Loss_D: -0.063995 Loss_G: 0.002991 Loss_D_real: -0.017823 Loss_D_fake 0.046171
[34/5000][105/535][3129] Loss_D: -0.065894 Loss_G: 0.034177 Loss_D_real: -0.042266 Loss_D_fake 0.023629
[34/5000][110/535][3130] Loss_D: -0.067274 Loss_G: 0.015958 Loss_D_real: -0.028537 Loss_D_fake 0.038737
[34/5000][115/535][3131] Loss_D: -0.066110 Loss_G: 0.044310 Loss_D_real: -0.048149 Loss_D_fake 0.017962
[34/5000][120/535][3132] Loss_D: -0.066037 Loss_G: 0.030645 Loss_D_real: -0.033238 Loss_D_fake 0.032800
[34/5000][125/535][3133] Loss_D: -0.070422 Loss_G: 0.011416 Loss_D_real: -0.022948 Loss_D_fake 0.047474
[34/5000][130/535][3134] Loss_D: -0.062515 Loss_G: 0.051653 Loss_D_real: -0.056947 Loss_D_fake 0.005568
[34/5000][135/535][3135] Loss_D: -0.066398 Loss_G: 0.007281 Loss_D_real: -0.022359 Loss_D_fake 0.044038
[34/5000][140/535][3136] Loss_D: -0.064130 Loss_G: 0.056962 Loss_D_real: -0.058683 Loss_D_fake 0.005447
[34/5000][145/535][3137] Loss_D: -0.067366 Loss_G: 0.009294 Loss_D_real: -0.017771 Loss_D_fake 0.049596
[34/5000][150/535][3138] Loss_D: -0.063389 Loss_G: 0.047724 Loss_D_real: -0.053260 Loss_D_fake 0.010129
[34/5000][155/535][3139] Loss_D: -0.065615 Loss_G: 0.021006 Loss_D_real: -0.029322 Loss_D_fake 0.036294
[34/5000][160/535][3140] Loss_D: -0.068809 Loss_G: 0.046340 Loss_D_real: -0.046782 Loss_D_fake 0.022027
[34/5000][165/535][3141] Loss_D: -0.065520 Loss_G: 0.011931 Loss_D_real: -0.022699 Loss_D_fake 0.042821
[34/5000][170/535][3142] Loss_D: -0.068602 Loss_G: 0.049142 Loss_D_real: -0.055865 Loss_D_fake 0.012737
[34/5000][175/535][3143] Loss_D: -0.066694 Loss_G: 0.022258 Loss_D_real: -0.031172 Loss_D_fake 0.035523
[34/5000][180/535][3144] Loss_D: -0.066598 Loss_G: 0.036242 Loss_D_real: -0.042165 Loss_D_fake 0.024433
[34/5000][185/535][3145] Loss_D: -0.066072 Loss_G: 0.030152 Loss_D_real: -0.038448 Loss_D_fake 0.027624
[34/5000][190/535][3146] Loss_D: -0.069841 Loss_G: 0.044012 Loss_D_real: -0.051526 Loss_D_fake 0.018315
[34/5000][195/535][3147] Loss_D: -0.070523 Loss_G: 0.032515 Loss_D_real: -0.040076 Loss_D_fake 0.030448
[34/5000][200/535][3148] Loss_D: -0.066787 Loss_G: 0.021845 Loss_D_real: -0.031714 Loss_D_fake 0.035073
[34/5000][205/535][3149] Loss_D: -0.065745 Loss_G: 0.039234 Loss_D_real: -0.040717 Loss_D_fake 0.025028
[34/5000][210/535][3150] Loss_D: -0.067902 Loss_G: 0.007910 Loss_D_real: -0.025656 Loss_D_fake 0.042246
[34/5000][215/535][3151] Loss_D: -0.062965 Loss_G: 0.058405 Loss_D_real: -0.065568 Loss_D_fake -0.002602
[34/5000][220/535][3152] Loss_D: -0.063846 Loss_G: 0.002725 Loss_D_real: -0.016437 Loss_D_fake 0.047409
[34/5000][225/535][3153] Loss_D: -0.063895 Loss_G: 0.031109 Loss_D_real: -0.042324 Loss_D_fake 0.021571
[34/5000][230/535][3154] Loss_D: -0.067130 Loss_G: 0.021333 Loss_D_real: -0.033382 Loss_D_fake 0.033748
[34/5000][235/535][3155] Loss_D: -0.067675 Loss_G: 0.049959 Loss_D_real: -0.046851 Loss_D_fake 0.020824
[34/5000][240/535][3156] Loss_D: -0.066652 Loss_G: 0.026335 Loss_D_real: -0.033456 Loss_D_fake 0.033197
[34/5000][245/535][3157] Loss_D: -0.067264 Loss_G: 0.042933 Loss_D_real: -0.047298 Loss_D_fake 0.019965
[34/5000][250/535][3158] Loss_D: -0.065009 Loss_G: -0.005795 Loss_D_real: -0.015225 Loss_D_fake 0.049783
[34/5000][255/535][3159] Loss_D: -0.062882 Loss_G: 0.048264 Loss_D_real: -0.056168 Loss_D_fake 0.006714
[34/5000][260/535][3160] Loss_D: -0.064636 Loss_G: 0.014990 Loss_D_real: -0.024811 Loss_D_fake 0.039825
[34/5000][265/535][3161] Loss_D: -0.066421 Loss_G: 0.030990 Loss_D_real: -0.041173 Loss_D_fake 0.025248
[34/5000][270/535][3162] Loss_D: -0.065415 Loss_G: 0.021939 Loss_D_real: -0.030460 Loss_D_fake 0.034955
[34/5000][275/535][3163] Loss_D: -0.068413 Loss_G: 0.049333 Loss_D_real: -0.053429 Loss_D_fake 0.014984
[34/5000][280/535][3164] Loss_D: -0.069406 Loss_G: 0.014897 Loss_D_real: -0.027931 Loss_D_fake 0.041475
[34/5000][285/535][3165] Loss_D: -0.066484 Loss_G: 0.046440 Loss_D_real: -0.046553 Loss_D_fake 0.019931
[34/5000][290/535][3166] Loss_D: -0.063716 Loss_G: 0.006503 Loss_D_real: -0.017353 Loss_D_fake 0.046363
[34/5000][295/535][3167] Loss_D: -0.065449 Loss_G: 0.049012 Loss_D_real: -0.056472 Loss_D_fake 0.008977
[34/5000][300/535][3168] Loss_D: -0.062393 Loss_G: 0.022131 Loss_D_real: -0.032986 Loss_D_fake 0.029408
[34/5000][305/535][3169] Loss_D: -0.067001 Loss_G: 0.047633 Loss_D_real: -0.048683 Loss_D_fake 0.018318
[34/5000][310/535][3170] Loss_D: -0.066199 Loss_G: 0.010201 Loss_D_real: -0.020719 Loss_D_fake 0.045480
[34/5000][315/535][3171] Loss_D: -0.066056 Loss_G: 0.027267 Loss_D_real: -0.038467 Loss_D_fake 0.027589
[34/5000][320/535][3172] Loss_D: -0.065571 Loss_G: 0.032421 Loss_D_real: -0.039792 Loss_D_fake 0.025779
[34/5000][325/535][3173] Loss_D: -0.064456 Loss_G: 0.013380 Loss_D_real: -0.030318 Loss_D_fake 0.034138
[34/5000][330/535][3174] Loss_D: -0.062589 Loss_G: 0.047872 Loss_D_real: -0.052527 Loss_D_fake 0.010062
[34/5000][335/535][3175] Loss_D: -0.068053 Loss_G: 0.006730 Loss_D_real: -0.021537 Loss_D_fake 0.046517
[34/5000][340/535][3176] Loss_D: -0.063577 Loss_G: 0.055092 Loss_D_real: -0.060050 Loss_D_fake 0.003527
[34/5000][345/535][3177] Loss_D: -0.063249 Loss_G: -0.000101 Loss_D_real: -0.013531 Loss_D_fake 0.049717
[34/5000][350/535][3178] Loss_D: -0.064599 Loss_G: 0.033238 Loss_D_real: -0.045967 Loss_D_fake 0.018632
[34/5000][355/535][3179] Loss_D: -0.066097 Loss_G: 0.032909 Loss_D_real: -0.040134 Loss_D_fake 0.025963
[34/5000][360/535][3180] Loss_D: -0.068240 Loss_G: 0.043661 Loss_D_real: -0.044346 Loss_D_fake 0.023894
[34/5000][365/535][3181] Loss_D: -0.063074 Loss_G: 0.003067 Loss_D_real: -0.010844 Loss_D_fake 0.052231
[34/5000][370/535][3182] Loss_D: -0.064683 Loss_G: 0.048930 Loss_D_real: -0.051365 Loss_D_fake 0.013318
[34/5000][375/535][3183] Loss_D: -0.065406 Loss_G: 0.021954 Loss_D_real: -0.028602 Loss_D_fake 0.036804
[34/5000][380/535][3184] Loss_D: -0.069881 Loss_G: 0.040888 Loss_D_real: -0.043661 Loss_D_fake 0.026220
[34/5000][385/535][3185] Loss_D: -0.065869 Loss_G: 0.027583 Loss_D_real: -0.028111 Loss_D_fake 0.037758
[34/5000][390/535][3186] Loss_D: -0.066851 Loss_G: 0.042764 Loss_D_real: -0.048193 Loss_D_fake 0.018658
[34/5000][395/535][3187] Loss_D: -0.066541 Loss_G: 0.015098 Loss_D_real: -0.026690 Loss_D_fake 0.039851
[34/5000][400/535][3188] Loss_D: -0.064596 Loss_G: 0.053584 Loss_D_real: -0.054168 Loss_D_fake 0.010428
[34/5000][405/535][3189] Loss_D: -0.064708 Loss_G: -0.010224 Loss_D_real: -0.017576 Loss_D_fake 0.047132
[34/5000][410/535][3190] Loss_D: -0.063975 Loss_G: 0.048519 Loss_D_real: -0.053506 Loss_D_fake 0.010469
[34/5000][415/535][3191] Loss_D: -0.068767 Loss_G: 0.032302 Loss_D_real: -0.035897 Loss_D_fake 0.032869
[34/5000][420/535][3192] Loss_D: -0.068946 Loss_G: 0.018703 Loss_D_real: -0.029175 Loss_D_fake 0.039771
[34/5000][425/535][3193] Loss_D: -0.067426 Loss_G: 0.040279 Loss_D_real: -0.040197 Loss_D_fake 0.027229
[34/5000][430/535][3194] Loss_D: -0.067937 Loss_G: 0.007352 Loss_D_real: -0.024601 Loss_D_fake 0.043336
[34/5000][435/535][3195] Loss_D: -0.064095 Loss_G: 0.060058 Loss_D_real: -0.060076 Loss_D_fake 0.004019
[34/5000][440/535][3196] Loss_D: -0.066210 Loss_G: 0.010486 Loss_D_real: -0.026501 Loss_D_fake 0.039709
[34/5000][445/535][3197] Loss_D: -0.064185 Loss_G: 0.053113 Loss_D_real: -0.056217 Loss_D_fake 0.007968
[34/5000][450/535][3198] Loss_D: -0.066720 Loss_G: 0.016703 Loss_D_real: -0.028737 Loss_D_fake 0.037984
[34/5000][455/535][3199] Loss_D: -0.067493 Loss_G: 0.052893 Loss_D_real: -0.056244 Loss_D_fake 0.011249
[34/5000][460/535][3200] Loss_D: -0.065548 Loss_G: 0.010729 Loss_D_real: -0.022704 Loss_D_fake 0.042844
[34/5000][465/535][3201] Loss_D: -0.065952 Loss_G: 0.052265 Loss_D_real: -0.055074 Loss_D_fake 0.010878
[34/5000][470/535][3202] Loss_D: -0.066547 Loss_G: 0.005295 Loss_D_real: -0.014970 Loss_D_fake 0.051577
[34/5000][475/535][3203] Loss_D: -0.062655 Loss_G: 0.045613 Loss_D_real: -0.052010 Loss_D_fake 0.010645
[34/5000][480/535][3204] Loss_D: -0.066147 Loss_G: 0.033323 Loss_D_real: -0.036910 Loss_D_fake 0.029237
[34/5000][485/535][3205] Loss_D: -0.067884 Loss_G: 0.027689 Loss_D_real: -0.033320 Loss_D_fake 0.034564
[34/5000][490/535][3206] Loss_D: -0.068611 Loss_G: 0.044240 Loss_D_real: -0.048997 Loss_D_fake 0.019614
[34/5000][495/535][3207] Loss_D: -0.067847 Loss_G: 0.024924 Loss_D_real: -0.035654 Loss_D_fake 0.032193
[34/5000][500/535][3208] Loss_D: -0.068356 Loss_G: 0.041826 Loss_D_real: -0.050816 Loss_D_fake 0.017539
[34/5000][505/535][3209] Loss_D: -0.065793 Loss_G: 0.040054 Loss_D_real: -0.044224 Loss_D_fake 0.021569
[34/5000][510/535][3210] Loss_D: -0.070078 Loss_G: 0.011006 Loss_D_real: -0.027023 Loss_D_fake 0.043054
[34/5000][515/535][3211] Loss_D: -0.060880 Loss_G: 0.057736 Loss_D_real: -0.059514 Loss_D_fake 0.001366
[34/5000][520/535][3212] Loss_D: -0.063702 Loss_G: 0.005833 Loss_D_real: -0.020876 Loss_D_fake 0.042826
[34/5000][525/535][3213] Loss_D: -0.066992 Loss_G: 0.034886 Loss_D_real: -0.044135 Loss_D_fake 0.022857
[34/5000][530/535][3214] Loss_D: -0.067266 Loss_G: 0.035373 Loss_D_real: -0.045606 Loss_D_fake 0.021660
[34/5000][535/535][3215] Loss_D: -0.068002 Loss_G: 0.035068 Loss_D_real: -0.041910 Loss_D_fake 0.026092
[35/5000][5/535][3216] Loss_D: -0.068337 Loss_G: 0.013886 Loss_D_real: -0.025331 Loss_D_fake 0.043007
[35/5000][10/535][3217] Loss_D: -0.068318 Loss_G: 0.038820 Loss_D_real: -0.039980 Loss_D_fake 0.028338
[35/5000][15/535][3218] Loss_D: -0.067357 Loss_G: 0.019462 Loss_D_real: -0.032872 Loss_D_fake 0.034486
[35/5000][20/535][3219] Loss_D: -0.067133 Loss_G: 0.046174 Loss_D_real: -0.051518 Loss_D_fake 0.015614
[35/5000][25/535][3220] Loss_D: -0.061477 Loss_G: -0.012424 Loss_D_real: -0.008566 Loss_D_fake 0.052910
[35/5000][30/535][3221] Loss_D: -0.060706 Loss_G: 0.052290 Loss_D_real: -0.059607 Loss_D_fake 0.001100
[35/5000][35/535][3222] Loss_D: -0.065508 Loss_G: 0.019676 Loss_D_real: -0.024293 Loss_D_fake 0.041214
[35/5000][40/535][3223] Loss_D: -0.066068 Loss_G: 0.030459 Loss_D_real: -0.033615 Loss_D_fake 0.032453
[35/5000][45/535][3224] Loss_D: -0.066558 Loss_G: 0.014261 Loss_D_real: -0.027293 Loss_D_fake 0.039265
[35/5000][50/535][3225] Loss_D: -0.067120 Loss_G: 0.041802 Loss_D_real: -0.045992 Loss_D_fake 0.021128
[35/5000][55/535][3226] Loss_D: -0.066548 Loss_G: 0.003360 Loss_D_real: -0.017805 Loss_D_fake 0.048743
[35/5000][60/535][3227] Loss_D: -0.065168 Loss_G: 0.050300 Loss_D_real: -0.052412 Loss_D_fake 0.012757
[35/5000][65/535][3228] Loss_D: -0.068192 Loss_G: 0.014901 Loss_D_real: -0.024804 Loss_D_fake 0.043388
[35/5000][70/535][3229] Loss_D: -0.067520 Loss_G: 0.046889 Loss_D_real: -0.046179 Loss_D_fake 0.021341
[35/5000][75/535][3230] Loss_D: -0.067812 Loss_G: 0.029863 Loss_D_real: -0.038678 Loss_D_fake 0.029134
[35/5000][80/535][3231] Loss_D: -0.068553 Loss_G: 0.020141 Loss_D_real: -0.035307 Loss_D_fake 0.033246
[35/5000][85/535][3232] Loss_D: -0.062899 Loss_G: 0.060599 Loss_D_real: -0.058900 Loss_D_fake 0.003999
[35/5000][90/535][3233] Loss_D: -0.064149 Loss_G: 0.001967 Loss_D_real: -0.018468 Loss_D_fake 0.045681
[35/5000][95/535][3234] Loss_D: -0.062763 Loss_G: 0.040538 Loss_D_real: -0.045427 Loss_D_fake 0.017336
[35/5000][100/535][3235] Loss_D: -0.061984 Loss_G: 0.012604 Loss_D_real: -0.022138 Loss_D_fake 0.039845
[35/5000][105/535][3236] Loss_D: -0.065600 Loss_G: 0.042699 Loss_D_real: -0.051528 Loss_D_fake 0.014072
[35/5000][110/535][3237] Loss_D: -0.065541 Loss_G: 0.013016 Loss_D_real: -0.021022 Loss_D_fake 0.044519
[35/5000][115/535][3238] Loss_D: -0.067174 Loss_G: 0.051509 Loss_D_real: -0.055911 Loss_D_fake 0.011263
[35/5000][120/535][3239] Loss_D: -0.065832 Loss_G: 0.004380 Loss_D_real: -0.015705 Loss_D_fake 0.050127
[35/5000][125/535][3240] Loss_D: -0.065983 Loss_G: 0.043719 Loss_D_real: -0.054742 Loss_D_fake 0.011240
[35/5000][130/535][3241] Loss_D: -0.066401 Loss_G: 0.035868 Loss_D_real: -0.038451 Loss_D_fake 0.027950
[35/5000][135/535][3242] Loss_D: -0.066066 Loss_G: 0.026636 Loss_D_real: -0.039077 Loss_D_fake 0.026989
[35/5000][140/535][3243] Loss_D: -0.066416 Loss_G: 0.034286 Loss_D_real: -0.045353 Loss_D_fake 0.021064
[35/5000][145/535][3244] Loss_D: -0.065560 Loss_G: 0.055131 Loss_D_real: -0.050815 Loss_D_fake 0.014745
[35/5000][150/535][3245] Loss_D: -0.064893 Loss_G: 0.019815 Loss_D_real: -0.028747 Loss_D_fake 0.036146
[35/5000][155/535][3246] Loss_D: -0.063321 Loss_G: 0.037693 Loss_D_real: -0.041178 Loss_D_fake 0.022143
[35/5000][160/535][3247] Loss_D: -0.064902 Loss_G: 0.002245 Loss_D_real: -0.017438 Loss_D_fake 0.047463
[35/5000][165/535][3248] Loss_D: -0.063866 Loss_G: 0.049512 Loss_D_real: -0.053125 Loss_D_fake 0.010741
[35/5000][170/535][3249] Loss_D: -0.062739 Loss_G: 0.004253 Loss_D_real: -0.014870 Loss_D_fake 0.047868
[35/5000][175/535][3250] Loss_D: -0.065229 Loss_G: 0.048361 Loss_D_real: -0.054535 Loss_D_fake 0.010694
[35/5000][180/535][3251] Loss_D: -0.069692 Loss_G: 0.026253 Loss_D_real: -0.034358 Loss_D_fake 0.035333
[35/5000][185/535][3252] Loss_D: -0.065468 Loss_G: 0.038692 Loss_D_real: -0.042283 Loss_D_fake 0.023185
[35/5000][190/535][3253] Loss_D: -0.068092 Loss_G: 0.030792 Loss_D_real: -0.039676 Loss_D_fake 0.028416
[35/5000][195/535][3254] Loss_D: -0.066400 Loss_G: 0.032322 Loss_D_real: -0.038597 Loss_D_fake 0.027803
[35/5000][200/535][3255] Loss_D: -0.066566 Loss_G: 0.040234 Loss_D_real: -0.039339 Loss_D_fake 0.027226
[35/5000][205/535][3256] Loss_D: -0.067601 Loss_G: 0.025176 Loss_D_real: -0.032207 Loss_D_fake 0.035394
[35/5000][210/535][3257] Loss_D: -0.064817 Loss_G: 0.058021 Loss_D_real: -0.061430 Loss_D_fake 0.003387
[35/5000][215/535][3258] Loss_D: -0.065770 Loss_G: -0.001636 Loss_D_real: -0.015009 Loss_D_fake 0.050761
[35/5000][220/535][3259] Loss_D: -0.062339 Loss_G: 0.047041 Loss_D_real: -0.055884 Loss_D_fake 0.006455
[35/5000][225/535][3260] Loss_D: -0.063978 Loss_G: 0.013878 Loss_D_real: -0.022950 Loss_D_fake 0.041029
[35/5000][230/535][3261] Loss_D: -0.064175 Loss_G: 0.032347 Loss_D_real: -0.040256 Loss_D_fake 0.023919
[35/5000][235/535][3262] Loss_D: -0.066645 Loss_G: 0.034667 Loss_D_real: -0.035436 Loss_D_fake 0.031209
[35/5000][240/535][3263] Loss_D: -0.065676 Loss_G: 0.022019 Loss_D_real: -0.035650 Loss_D_fake 0.030026
[35/5000][245/535][3264] Loss_D: -0.065028 Loss_G: 0.031957 Loss_D_real: -0.036131 Loss_D_fake 0.028897
[35/5000][250/535][3265] Loss_D: -0.068665 Loss_G: 0.034771 Loss_D_real: -0.042128 Loss_D_fake 0.026537
[35/5000][255/535][3266] Loss_D: -0.066341 Loss_G: 0.054750 Loss_D_real: -0.052140 Loss_D_fake 0.014200
[35/5000][260/535][3267] Loss_D: -0.061247 Loss_G: -0.006742 Loss_D_real: -0.005381 Loss_D_fake 0.055866
[35/5000][265/535][3268] Loss_D: -0.061009 Loss_G: 0.044560 Loss_D_real: -0.048077 Loss_D_fake 0.012933
[35/5000][270/535][3269] Loss_D: -0.060527 Loss_G: 0.014113 Loss_D_real: -0.019401 Loss_D_fake 0.041126
[35/5000][275/535][3270] Loss_D: -0.064151 Loss_G: 0.036789 Loss_D_real: -0.044445 Loss_D_fake 0.019705
[35/5000][280/535][3271] Loss_D: -0.064571 Loss_G: 0.027346 Loss_D_real: -0.034119 Loss_D_fake 0.030453
[35/5000][285/535][3272] Loss_D: -0.067536 Loss_G: 0.020332 Loss_D_real: -0.030129 Loss_D_fake 0.037407
[35/5000][290/535][3273] Loss_D: -0.067108 Loss_G: 0.028510 Loss_D_real: -0.035766 Loss_D_fake 0.031343
[35/5000][295/535][3274] Loss_D: -0.069576 Loss_G: 0.036492 Loss_D_real: -0.039337 Loss_D_fake 0.030238
[35/5000][300/535][3275] Loss_D: -0.064594 Loss_G: 0.013784 Loss_D_real: -0.024517 Loss_D_fake 0.040076
[35/5000][305/535][3276] Loss_D: -0.063822 Loss_G: 0.058894 Loss_D_real: -0.061109 Loss_D_fake 0.002712
[35/5000][310/535][3277] Loss_D: -0.064890 Loss_G: 0.008855 Loss_D_real: -0.021492 Loss_D_fake 0.043397
[35/5000][315/535][3278] Loss_D: -0.063261 Loss_G: 0.047091 Loss_D_real: -0.051632 Loss_D_fake 0.011629
[35/5000][320/535][3279] Loss_D: -0.064395 Loss_G: 0.014370 Loss_D_real: -0.027969 Loss_D_fake 0.036426
[35/5000][325/535][3280] Loss_D: -0.067649 Loss_G: 0.028743 Loss_D_real: -0.038903 Loss_D_fake 0.028745
[35/5000][330/535][3281] Loss_D: -0.066054 Loss_G: 0.047156 Loss_D_real: -0.047203 Loss_D_fake 0.018851
[35/5000][335/535][3282] Loss_D: -0.066476 Loss_G: 0.013054 Loss_D_real: -0.024021 Loss_D_fake 0.042455
[35/5000][340/535][3283] Loss_D: -0.062930 Loss_G: 0.054230 Loss_D_real: -0.059410 Loss_D_fake 0.003520
[35/5000][345/535][3284] Loss_D: -0.066221 Loss_G: 0.002270 Loss_D_real: -0.016836 Loss_D_fake 0.049384
[35/5000][350/535][3285] Loss_D: -0.064519 Loss_G: 0.051353 Loss_D_real: -0.055824 Loss_D_fake 0.008696
[35/5000][355/535][3286] Loss_D: -0.065942 Loss_G: 0.016109 Loss_D_real: -0.025410 Loss_D_fake 0.040532
[35/5000][360/535][3287] Loss_D: -0.066403 Loss_G: 0.045188 Loss_D_real: -0.045635 Loss_D_fake 0.020768
[35/5000][365/535][3288] Loss_D: -0.065873 Loss_G: 0.014319 Loss_D_real: -0.029108 Loss_D_fake 0.036765
[35/5000][370/535][3289] Loss_D: -0.067357 Loss_G: 0.032764 Loss_D_real: -0.042086 Loss_D_fake 0.025270
[35/5000][375/535][3290] Loss_D: -0.066731 Loss_G: 0.026922 Loss_D_real: -0.033408 Loss_D_fake 0.033323
[35/5000][380/535][3291] Loss_D: -0.066190 Loss_G: 0.038835 Loss_D_real: -0.041209 Loss_D_fake 0.024981
[35/5000][385/535][3292] Loss_D: -0.064719 Loss_G: 0.026825 Loss_D_real: -0.033150 Loss_D_fake 0.031569
[35/5000][390/535][3293] Loss_D: -0.063941 Loss_G: 0.041944 Loss_D_real: -0.048892 Loss_D_fake 0.015048
[35/5000][395/535][3294] Loss_D: -0.066998 Loss_G: 0.017075 Loss_D_real: -0.027692 Loss_D_fake 0.039306
[35/5000][400/535][3295] Loss_D: -0.067310 Loss_G: 0.056680 Loss_D_real: -0.056649 Loss_D_fake 0.010661
[35/5000][405/535][3296] Loss_D: -0.062697 Loss_G: -0.004894 Loss_D_real: -0.009811 Loss_D_fake 0.052887
[35/5000][410/535][3297] Loss_D: -0.059567 Loss_G: 0.045540 Loss_D_real: -0.050809 Loss_D_fake 0.008758
[35/5000][415/535][3298] Loss_D: -0.062639 Loss_G: 0.030058 Loss_D_real: -0.036558 Loss_D_fake 0.026081
[35/5000][420/535][3299] Loss_D: -0.067213 Loss_G: 0.024752 Loss_D_real: -0.037191 Loss_D_fake 0.030022
[35/5000][425/535][3300] Loss_D: -0.064088 Loss_G: 0.056873 Loss_D_real: -0.055536 Loss_D_fake 0.008552
[35/5000][430/535][3301] Loss_D: -0.066604 Loss_G: 0.004362 Loss_D_real: -0.019336 Loss_D_fake 0.047268
[35/5000][435/535][3302] Loss_D: -0.060388 Loss_G: 0.053201 Loss_D_real: -0.053750 Loss_D_fake 0.006638
[35/5000][440/535][3303] Loss_D: -0.065436 Loss_G: 0.003088 Loss_D_real: -0.016295 Loss_D_fake 0.049141
[35/5000][445/535][3304] Loss_D: -0.063116 Loss_G: 0.044910 Loss_D_real: -0.049182 Loss_D_fake 0.013934
[35/5000][450/535][3305] Loss_D: -0.064846 Loss_G: 0.030310 Loss_D_real: -0.035053 Loss_D_fake 0.029793
[35/5000][455/535][3306] Loss_D: -0.066199 Loss_G: 0.020969 Loss_D_real: -0.032572 Loss_D_fake 0.033628
[35/5000][460/535][3307] Loss_D: -0.065351 Loss_G: 0.028913 Loss_D_real: -0.041439 Loss_D_fake 0.023911
[35/5000][465/535][3308] Loss_D: -0.066977 Loss_G: 0.046850 Loss_D_real: -0.050954 Loss_D_fake 0.016023
[35/5000][470/535][3309] Loss_D: -0.067304 Loss_G: 0.015489 Loss_D_real: -0.027912 Loss_D_fake 0.039392
[35/5000][475/535][3310] Loss_D: -0.064917 Loss_G: 0.039667 Loss_D_real: -0.043993 Loss_D_fake 0.020924
[35/5000][480/535][3311] Loss_D: -0.067672 Loss_G: 0.011672 Loss_D_real: -0.025891 Loss_D_fake 0.041781
[35/5000][485/535][3312] Loss_D: -0.064229 Loss_G: 0.057698 Loss_D_real: -0.056986 Loss_D_fake 0.007243
[35/5000][490/535][3313] Loss_D: -0.063895 Loss_G: 0.004689 Loss_D_real: -0.016445 Loss_D_fake 0.047450
[35/5000][495/535][3314] Loss_D: -0.063697 Loss_G: 0.051411 Loss_D_real: -0.052264 Loss_D_fake 0.011433
[35/5000][500/535][3315] Loss_D: -0.062256 Loss_G: 0.010174 Loss_D_real: -0.021160 Loss_D_fake 0.041096
[35/5000][505/535][3316] Loss_D: -0.061686 Loss_G: 0.036253 Loss_D_real: -0.042078 Loss_D_fake 0.019608
[35/5000][510/535][3317] Loss_D: -0.065494 Loss_G: 0.015377 Loss_D_real: -0.028508 Loss_D_fake 0.036986
[35/5000][515/535][3318] Loss_D: -0.064893 Loss_G: 0.033835 Loss_D_real: -0.037241 Loss_D_fake 0.027652
[35/5000][520/535][3319] Loss_D: -0.064468 Loss_G: 0.041876 Loss_D_real: -0.040645 Loss_D_fake 0.023823
[35/5000][525/535][3320] Loss_D: -0.069433 Loss_G: 0.017851 Loss_D_real: -0.033653 Loss_D_fake 0.035780
[35/5000][530/535][3321] Loss_D: -0.063442 Loss_G: 0.063486 Loss_D_real: -0.061630 Loss_D_fake 0.001811
[35/5000][535/535][3322] Loss_D: -0.065092 Loss_G: 0.004340 Loss_D_real: -0.019107 Loss_D_fake 0.045984
[36/5000][5/535][3323] Loss_D: -0.059032 Loss_G: 0.043431 Loss_D_real: -0.053639 Loss_D_fake 0.005393
[36/5000][10/535][3324] Loss_D: -0.064741 Loss_G: 0.020085 Loss_D_real: -0.029014 Loss_D_fake 0.035727
[36/5000][15/535][3325] Loss_D: -0.062811 Loss_G: 0.050929 Loss_D_real: -0.050598 Loss_D_fake 0.012213
[36/5000][20/535][3326] Loss_D: -0.065723 Loss_G: 0.020573 Loss_D_real: -0.025925 Loss_D_fake 0.039797
[36/5000][25/535][3327] Loss_D: -0.064906 Loss_G: 0.045379 Loss_D_real: -0.050801 Loss_D_fake 0.014105
[36/5000][30/535][3328] Loss_D: -0.066102 Loss_G: 0.006076 Loss_D_real: -0.017760 Loss_D_fake 0.048342
[36/5000][35/535][3329] Loss_D: -0.063193 Loss_G: 0.046828 Loss_D_real: -0.054543 Loss_D_fake 0.008650
[36/5000][40/535][3330] Loss_D: -0.065961 Loss_G: 0.016653 Loss_D_real: -0.033003 Loss_D_fake 0.032959
[36/5000][45/535][3331] Loss_D: -0.066389 Loss_G: 0.039773 Loss_D_real: -0.044359 Loss_D_fake 0.022030
[36/5000][50/535][3332] Loss_D: -0.064625 Loss_G: 0.017479 Loss_D_real: -0.024919 Loss_D_fake 0.039705
[36/5000][55/535][3333] Loss_D: -0.066688 Loss_G: 0.042085 Loss_D_real: -0.048315 Loss_D_fake 0.018373
[36/5000][60/535][3334] Loss_D: -0.066768 Loss_G: 0.018095 Loss_D_real: -0.028587 Loss_D_fake 0.038181
[36/5000][65/535][3335] Loss_D: -0.066196 Loss_G: 0.030624 Loss_D_real: -0.038157 Loss_D_fake 0.028039
[36/5000][70/535][3336] Loss_D: -0.064373 Loss_G: 0.036996 Loss_D_real: -0.042286 Loss_D_fake 0.022087
[36/5000][75/535][3337] Loss_D: -0.067787 Loss_G: 0.043773 Loss_D_real: -0.042333 Loss_D_fake 0.025454
[36/5000][80/535][3338] Loss_D: -0.062472 Loss_G: -0.003243 Loss_D_real: -0.016021 Loss_D_fake 0.046451
[36/5000][85/535][3339] Loss_D: -0.059211 Loss_G: 0.052055 Loss_D_real: -0.060073 Loss_D_fake -0.000862
[36/5000][90/535][3340] Loss_D: -0.063625 Loss_G: 0.010378 Loss_D_real: -0.018965 Loss_D_fake 0.044660
[36/5000][95/535][3341] Loss_D: -0.062585 Loss_G: 0.048616 Loss_D_real: -0.051184 Loss_D_fake 0.011401
[36/5000][100/535][3342] Loss_D: -0.065654 Loss_G: 0.017123 Loss_D_real: -0.029477 Loss_D_fake 0.036177
[36/5000][105/535][3343] Loss_D: -0.064252 Loss_G: 0.026653 Loss_D_real: -0.037615 Loss_D_fake 0.026637
[36/5000][110/535][3344] Loss_D: -0.067247 Loss_G: 0.018970 Loss_D_real: -0.033782 Loss_D_fake 0.033465
[36/5000][115/535][3345] Loss_D: -0.063553 Loss_G: 0.058365 Loss_D_real: -0.061260 Loss_D_fake 0.002293
[36/5000][120/535][3346] Loss_D: -0.062965 Loss_G: 0.005474 Loss_D_real: -0.016362 Loss_D_fake 0.046603
[36/5000][125/535][3347] Loss_D: -0.062816 Loss_G: 0.047502 Loss_D_real: -0.049378 Loss_D_fake 0.013438
[36/5000][130/535][3348] Loss_D: -0.065350 Loss_G: 0.016290 Loss_D_real: -0.029700 Loss_D_fake 0.035650
[36/5000][135/535][3349] Loss_D: -0.067282 Loss_G: 0.047576 Loss_D_real: -0.041678 Loss_D_fake 0.025604
[36/5000][140/535][3350] Loss_D: -0.065193 Loss_G: -0.006719 Loss_D_real: -0.014520 Loss_D_fake 0.050673
[36/5000][145/535][3351] Loss_D: -0.065435 Loss_G: 0.045754 Loss_D_real: -0.051386 Loss_D_fake 0.014049
[36/5000][150/535][3352] Loss_D: -0.065330 Loss_G: 0.012005 Loss_D_real: -0.024498 Loss_D_fake 0.040832
[36/5000][155/535][3353] Loss_D: -0.061633 Loss_G: 0.037489 Loss_D_real: -0.040700 Loss_D_fake 0.020933
[36/5000][160/535][3354] Loss_D: -0.063291 Loss_G: 0.048820 Loss_D_real: -0.049087 Loss_D_fake 0.014204
[36/5000][165/535][3355] Loss_D: -0.064106 Loss_G: 0.010912 Loss_D_real: -0.020060 Loss_D_fake 0.044047
[36/5000][170/535][3356] Loss_D: -0.064755 Loss_G: 0.046518 Loss_D_real: -0.054091 Loss_D_fake 0.010664
[36/5000][175/535][3357] Loss_D: -0.065659 Loss_G: 0.006255 Loss_D_real: -0.018884 Loss_D_fake 0.046775
[36/5000][180/535][3358] Loss_D: -0.062044 Loss_G: 0.044414 Loss_D_real: -0.047520 Loss_D_fake 0.014524
[36/5000][185/535][3359] Loss_D: -0.063183 Loss_G: 0.015980 Loss_D_real: -0.023101 Loss_D_fake 0.040082
[36/5000][190/535][3360] Loss_D: -0.062863 Loss_G: 0.049853 Loss_D_real: -0.049995 Loss_D_fake 0.012867
[36/5000][195/535][3361] Loss_D: -0.065148 Loss_G: 0.017675 Loss_D_real: -0.027015 Loss_D_fake 0.038133
[36/5000][200/535][3362] Loss_D: -0.065395 Loss_G: 0.036653 Loss_D_real: -0.043118 Loss_D_fake 0.022277
[36/5000][205/535][3363] Loss_D: -0.067052 Loss_G: 0.027421 Loss_D_real: -0.035774 Loss_D_fake 0.031278
[36/5000][210/535][3364] Loss_D: -0.065598 Loss_G: 0.043818 Loss_D_real: -0.047927 Loss_D_fake 0.017671
[36/5000][215/535][3365] Loss_D: -0.066251 Loss_G: 0.015329 Loss_D_real: -0.029832 Loss_D_fake 0.036419
[36/5000][220/535][3366] Loss_D: -0.065180 Loss_G: 0.036416 Loss_D_real: -0.046787 Loss_D_fake 0.018393
[36/5000][225/535][3367] Loss_D: -0.065735 Loss_G: 0.050715 Loss_D_real: -0.049693 Loss_D_fake 0.016042
[36/5000][230/535][3368] Loss_D: -0.063336 Loss_G: 0.002448 Loss_D_real: -0.014478 Loss_D_fake 0.048858
[36/5000][235/535][3369] Loss_D: -0.064481 Loss_G: 0.042488 Loss_D_real: -0.051729 Loss_D_fake 0.012752
[36/5000][240/535][3370] Loss_D: -0.063586 Loss_G: 0.020922 Loss_D_real: -0.033591 Loss_D_fake 0.029995
[36/5000][245/535][3371] Loss_D: -0.064145 Loss_G: 0.041415 Loss_D_real: -0.042872 Loss_D_fake 0.021273
[36/5000][250/535][3372] Loss_D: -0.062565 Loss_G: 0.050746 Loss_D_real: -0.048453 Loss_D_fake 0.014112
[36/5000][255/535][3373] Loss_D: -0.062105 Loss_G: 0.007108 Loss_D_real: -0.018228 Loss_D_fake 0.043877
[36/5000][260/535][3374] Loss_D: -0.060283 Loss_G: 0.046501 Loss_D_real: -0.053960 Loss_D_fake 0.006323
[36/5000][265/535][3375] Loss_D: -0.065638 Loss_G: 0.029743 Loss_D_real: -0.033568 Loss_D_fake 0.032070
[36/5000][270/535][3376] Loss_D: -0.064631 Loss_G: 0.044967 Loss_D_real: -0.045341 Loss_D_fake 0.019290
[36/5000][275/535][3377] Loss_D: -0.066871 Loss_G: 0.030660 Loss_D_real: -0.034277 Loss_D_fake 0.032594
[36/5000][280/535][3378] Loss_D: -0.067046 Loss_G: 0.042295 Loss_D_real: -0.041377 Loss_D_fake 0.025669
[36/5000][285/535][3379] Loss_D: -0.064791 Loss_G: -0.000140 Loss_D_real: -0.013112 Loss_D_fake 0.051679
[36/5000][290/535][3380] Loss_D: -0.061870 Loss_G: 0.059670 Loss_D_real: -0.063389 Loss_D_fake -0.001519
[36/5000][295/535][3381] Loss_D: -0.065457 Loss_G: 0.001676 Loss_D_real: -0.015454 Loss_D_fake 0.050003
[36/5000][300/535][3382] Loss_D: -0.065136 Loss_G: 0.046385 Loss_D_real: -0.049998 Loss_D_fake 0.015138
[36/5000][305/535][3383] Loss_D: -0.064967 Loss_G: 0.017840 Loss_D_real: -0.024217 Loss_D_fake 0.040750
[36/5000][310/535][3384] Loss_D: -0.063635 Loss_G: 0.054192 Loss_D_real: -0.055760 Loss_D_fake 0.007875
[36/5000][315/535][3385] Loss_D: -0.064436 Loss_G: 0.016705 Loss_D_real: -0.025533 Loss_D_fake 0.038902
[36/5000][320/535][3386] Loss_D: -0.064664 Loss_G: 0.054382 Loss_D_real: -0.051561 Loss_D_fake 0.013103
[36/5000][325/535][3387] Loss_D: -0.069972 Loss_G: 0.021348 Loss_D_real: -0.036227 Loss_D_fake 0.033745
[36/5000][330/535][3388] Loss_D: -0.066720 Loss_G: 0.058069 Loss_D_real: -0.053249 Loss_D_fake 0.013471
[36/5000][335/535][3389] Loss_D: -0.063716 Loss_G: 0.002824 Loss_D_real: -0.016278 Loss_D_fake 0.047438
[36/5000][340/535][3390] Loss_D: -0.063708 Loss_G: 0.047917 Loss_D_real: -0.054799 Loss_D_fake 0.008909
[36/5000][345/535][3391] Loss_D: -0.068936 Loss_G: 0.030226 Loss_D_real: -0.035634 Loss_D_fake 0.033302
[36/5000][350/535][3392] Loss_D: -0.067211 Loss_G: 0.029101 Loss_D_real: -0.035947 Loss_D_fake 0.031263
[36/5000][355/535][3393] Loss_D: -0.064690 Loss_G: 0.047180 Loss_D_real: -0.044977 Loss_D_fake 0.019714
[36/5000][360/535][3394] Loss_D: -0.064220 Loss_G: 0.010190 Loss_D_real: -0.020825 Loss_D_fake 0.043395
[36/5000][365/535][3395] Loss_D: -0.063693 Loss_G: 0.048216 Loss_D_real: -0.052039 Loss_D_fake 0.011654
[36/5000][370/535][3396] Loss_D: -0.062493 Loss_G: 0.002144 Loss_D_real: -0.012059 Loss_D_fake 0.050434
[36/5000][375/535][3397] Loss_D: -0.066119 Loss_G: 0.036409 Loss_D_real: -0.045506 Loss_D_fake 0.020613
[36/5000][380/535][3398] Loss_D: -0.063023 Loss_G: 0.016107 Loss_D_real: -0.024029 Loss_D_fake 0.038995
[36/5000][385/535][3399] Loss_D: -0.066675 Loss_G: 0.049382 Loss_D_real: -0.051675 Loss_D_fake 0.015000
[36/5000][390/535][3400] Loss_D: -0.062242 Loss_G: 0.005813 Loss_D_real: -0.017358 Loss_D_fake 0.044884
[36/5000][395/535][3401] Loss_D: -0.062481 Loss_G: 0.038448 Loss_D_real: -0.045155 Loss_D_fake 0.017326
[36/5000][400/535][3402] Loss_D: -0.061721 Loss_G: 0.016091 Loss_D_real: -0.023953 Loss_D_fake 0.037768
[36/5000][405/535][3403] Loss_D: -0.065079 Loss_G: 0.031518 Loss_D_real: -0.040699 Loss_D_fake 0.024380
[36/5000][410/535][3404] Loss_D: -0.067458 Loss_G: 0.034840 Loss_D_real: -0.040609 Loss_D_fake 0.026849
[36/5000][415/535][3405] Loss_D: -0.068359 Loss_G: 0.039381 Loss_D_real: -0.040035 Loss_D_fake 0.028324
[36/5000][420/535][3406] Loss_D: -0.066719 Loss_G: 0.028182 Loss_D_real: -0.034084 Loss_D_fake 0.032635
[36/5000][425/535][3407] Loss_D: -0.069150 Loss_G: 0.014232 Loss_D_real: -0.029854 Loss_D_fake 0.039296
[36/5000][430/535][3408] Loss_D: -0.061310 Loss_G: 0.063894 Loss_D_real: -0.060153 Loss_D_fake 0.001158
[36/5000][435/535][3409] Loss_D: -0.061145 Loss_G: 0.000373 Loss_D_real: -0.012519 Loss_D_fake 0.048626
[36/5000][440/535][3410] Loss_D: -0.064450 Loss_G: 0.039608 Loss_D_real: -0.048256 Loss_D_fake 0.016194
[36/5000][445/535][3411] Loss_D: -0.060172 Loss_G: 0.015105 Loss_D_real: -0.020981 Loss_D_fake 0.039192
[36/5000][450/535][3412] Loss_D: -0.065527 Loss_G: 0.038444 Loss_D_real: -0.041643 Loss_D_fake 0.023884
[36/5000][455/535][3413] Loss_D: -0.066093 Loss_G: 0.051067 Loss_D_real: -0.050143 Loss_D_fake 0.015950
[36/5000][460/535][3414] Loss_D: -0.067414 Loss_G: 0.007898 Loss_D_real: -0.023982 Loss_D_fake 0.043432
[36/5000][465/535][3415] Loss_D: -0.065031 Loss_G: 0.041957 Loss_D_real: -0.044436 Loss_D_fake 0.020595
[36/5000][470/535][3416] Loss_D: -0.065403 Loss_G: 0.040221 Loss_D_real: -0.036460 Loss_D_fake 0.028943
[36/5000][475/535][3417] Loss_D: -0.062041 Loss_G: 0.007016 Loss_D_real: -0.015937 Loss_D_fake 0.046104
[36/5000][480/535][3418] Loss_D: -0.058279 Loss_G: 0.056637 Loss_D_real: -0.059467 Loss_D_fake -0.001188
[36/5000][485/535][3419] Loss_D: -0.063990 Loss_G: 0.008581 Loss_D_real: -0.017079 Loss_D_fake 0.046911
[36/5000][490/535][3420] Loss_D: -0.062195 Loss_G: 0.043866 Loss_D_real: -0.045638 Loss_D_fake 0.016556
[36/5000][495/535][3421] Loss_D: -0.065841 Loss_G: 0.025551 Loss_D_real: -0.032112 Loss_D_fake 0.033729
[36/5000][500/535][3422] Loss_D: -0.064185 Loss_G: 0.041945 Loss_D_real: -0.043887 Loss_D_fake 0.020298
[36/5000][505/535][3423] Loss_D: -0.066285 Loss_G: 0.017334 Loss_D_real: -0.026452 Loss_D_fake 0.039834
[36/5000][510/535][3424] Loss_D: -0.065756 Loss_G: 0.041115 Loss_D_real: -0.043731 Loss_D_fake 0.022025
[36/5000][515/535][3425] Loss_D: -0.068415 Loss_G: 0.017868 Loss_D_real: -0.027773 Loss_D_fake 0.040643
[36/5000][520/535][3426] Loss_D: -0.064329 Loss_G: 0.055185 Loss_D_real: -0.057056 Loss_D_fake 0.007274
[36/5000][525/535][3427] Loss_D: -0.067297 Loss_G: 0.012619 Loss_D_real: -0.026095 Loss_D_fake 0.041202
[36/5000][530/535][3428] Loss_D: -0.062973 Loss_G: 0.047382 Loss_D_real: -0.051660 Loss_D_fake 0.011313
[36/5000][535/535][3429] Loss_D: -0.066123 Loss_G: 0.036608 Loss_D_real: -0.032266 Loss_D_fake 0.033857
[37/5000][5/535][3430] Loss_D: -0.064964 Loss_G: 0.001775 Loss_D_real: -0.016269 Loss_D_fake 0.048695
[37/5000][10/535][3431] Loss_D: -0.063893 Loss_G: 0.049857 Loss_D_real: -0.056440 Loss_D_fake 0.007454
[37/5000][15/535][3432] Loss_D: -0.065757 Loss_G: 0.036741 Loss_D_real: -0.038734 Loss_D_fake 0.027023
[37/5000][20/535][3433] Loss_D: -0.065818 Loss_G: 0.020541 Loss_D_real: -0.031086 Loss_D_fake 0.034731
[37/5000][25/535][3434] Loss_D: -0.063197 Loss_G: 0.043012 Loss_D_real: -0.044603 Loss_D_fake 0.018594
[37/5000][30/535][3435] Loss_D: -0.063815 Loss_G: -0.001693 Loss_D_real: -0.011507 Loss_D_fake 0.052308
[37/5000][35/535][3436] Loss_D: -0.062522 Loss_G: 0.020656 Loss_D_real: -0.030260 Loss_D_fake 0.032262
[37/5000][40/535][3437] Loss_D: -0.065821 Loss_G: 0.040023 Loss_D_real: -0.042004 Loss_D_fake 0.023817
[37/5000][45/535][3438] Loss_D: -0.064114 Loss_G: 0.028357 Loss_D_real: -0.031741 Loss_D_fake 0.032373
[37/5000][50/535][3439] Loss_D: -0.064424 Loss_G: 0.028576 Loss_D_real: -0.035000 Loss_D_fake 0.029424
[37/5000][55/535][3440] Loss_D: -0.063138 Loss_G: 0.034476 Loss_D_real: -0.034800 Loss_D_fake 0.028338
[37/5000][60/535][3441] Loss_D: -0.067479 Loss_G: 0.037806 Loss_D_real: -0.040955 Loss_D_fake 0.026524
[37/5000][65/535][3442] Loss_D: -0.064706 Loss_G: 0.042178 Loss_D_real: -0.046667 Loss_D_fake 0.018039
[37/5000][70/535][3443] Loss_D: -0.064633 Loss_G: 0.036546 Loss_D_real: -0.038888 Loss_D_fake 0.025745
[37/5000][75/535][3444] Loss_D: -0.063752 Loss_G: 0.053693 Loss_D_real: -0.052108 Loss_D_fake 0.011644
[37/5000][80/535][3445] Loss_D: -0.057396 Loss_G: -0.009534 Loss_D_real: 0.001661 Loss_D_fake 0.059057
[37/5000][85/535][3446] Loss_D: -0.061706 Loss_G: 0.054177 Loss_D_real: -0.054823 Loss_D_fake 0.006883
[37/5000][90/535][3447] Loss_D: -0.061810 Loss_G: 0.012780 Loss_D_real: -0.019262 Loss_D_fake 0.042548
[37/5000][95/535][3448] Loss_D: -0.065949 Loss_G: 0.033890 Loss_D_real: -0.038598 Loss_D_fake 0.027351
[37/5000][100/535][3449] Loss_D: -0.066191 Loss_G: 0.035314 Loss_D_real: -0.033104 Loss_D_fake 0.033087
[37/5000][105/535][3450] Loss_D: -0.064244 Loss_G: 0.043058 Loss_D_real: -0.039706 Loss_D_fake 0.024538
[37/5000][110/535][3451] Loss_D: -0.061151 Loss_G: -0.009553 Loss_D_real: -0.005474 Loss_D_fake 0.055677
[37/5000][115/535][3452] Loss_D: -0.063757 Loss_G: 0.048281 Loss_D_real: -0.055321 Loss_D_fake 0.008436
[37/5000][120/535][3453] Loss_D: -0.063166 Loss_G: 0.010938 Loss_D_real: -0.015659 Loss_D_fake 0.047506
[37/5000][125/535][3454] Loss_D: -0.062799 Loss_G: 0.050224 Loss_D_real: -0.051608 Loss_D_fake 0.011192
[37/5000][130/535][3455] Loss_D: -0.068038 Loss_G: 0.019377 Loss_D_real: -0.027797 Loss_D_fake 0.040241
[37/5000][135/535][3456] Loss_D: -0.063522 Loss_G: 0.046168 Loss_D_real: -0.046970 Loss_D_fake 0.016552
[37/5000][140/535][3457] Loss_D: -0.063991 Loss_G: 0.024138 Loss_D_real: -0.031981 Loss_D_fake 0.032010
[37/5000][145/535][3458] Loss_D: -0.066777 Loss_G: 0.026685 Loss_D_real: -0.032260 Loss_D_fake 0.034517
[37/5000][150/535][3459] Loss_D: -0.063160 Loss_G: 0.015580 Loss_D_real: -0.022059 Loss_D_fake 0.041100
[37/5000][155/535][3460] Loss_D: -0.064327 Loss_G: 0.042316 Loss_D_real: -0.042411 Loss_D_fake 0.021917
[37/5000][160/535][3461] Loss_D: -0.063268 Loss_G: -0.000959 Loss_D_real: -0.013958 Loss_D_fake 0.049310
[37/5000][165/535][3462] Loss_D: -0.060914 Loss_G: 0.056548 Loss_D_real: -0.059108 Loss_D_fake 0.001805
[37/5000][170/535][3463] Loss_D: -0.059055 Loss_G: -0.002535 Loss_D_real: -0.007559 Loss_D_fake 0.051496
[37/5000][175/535][3464] Loss_D: -0.063017 Loss_G: 0.042135 Loss_D_real: -0.047299 Loss_D_fake 0.015718
[37/5000][180/535][3465] Loss_D: -0.062684 Loss_G: 0.018736 Loss_D_real: -0.028275 Loss_D_fake 0.034409
[37/5000][185/535][3466] Loss_D: -0.065770 Loss_G: 0.037202 Loss_D_real: -0.041092 Loss_D_fake 0.024678
[37/5000][190/535][3467] Loss_D: -0.067531 Loss_G: 0.016016 Loss_D_real: -0.025867 Loss_D_fake 0.041664
[37/5000][195/535][3468] Loss_D: -0.063744 Loss_G: 0.038920 Loss_D_real: -0.042595 Loss_D_fake 0.021149
[37/5000][200/535][3469] Loss_D: -0.067022 Loss_G: 0.010613 Loss_D_real: -0.027867 Loss_D_fake 0.039155
[37/5000][205/535][3470] Loss_D: -0.065072 Loss_G: 0.039483 Loss_D_real: -0.042266 Loss_D_fake 0.022806
[37/5000][210/535][3471] Loss_D: -0.067944 Loss_G: 0.025923 Loss_D_real: -0.034053 Loss_D_fake 0.033891
[37/5000][215/535][3472] Loss_D: -0.062973 Loss_G: 0.005006 Loss_D_real: -0.016008 Loss_D_fake 0.046965
[37/5000][220/535][3473] Loss_D: -0.064103 Loss_G: 0.051317 Loss_D_real: -0.055169 Loss_D_fake 0.008934
[37/5000][225/535][3474] Loss_D: -0.063293 Loss_G: 0.010109 Loss_D_real: -0.016330 Loss_D_fake 0.046963
[37/5000][230/535][3475] Loss_D: -0.062440 Loss_G: 0.046049 Loss_D_real: -0.050815 Loss_D_fake 0.011625
[37/5000][235/535][3476] Loss_D: -0.066972 Loss_G: 0.013428 Loss_D_real: -0.021489 Loss_D_fake 0.045483
[37/5000][240/535][3477] Loss_D: -0.062344 Loss_G: 0.046316 Loss_D_real: -0.046071 Loss_D_fake 0.016273
[37/5000][245/535][3478] Loss_D: -0.065133 Loss_G: 0.029894 Loss_D_real: -0.033139 Loss_D_fake 0.031994
[37/5000][250/535][3479] Loss_D: -0.065824 Loss_G: 0.045981 Loss_D_real: -0.049759 Loss_D_fake 0.016065
[37/5000][255/535][3480] Loss_D: -0.065686 Loss_G: 0.034673 Loss_D_real: -0.040560 Loss_D_fake 0.025126
[37/5000][260/535][3481] Loss_D: -0.064169 Loss_G: 0.019670 Loss_D_real: -0.028600 Loss_D_fake 0.035569
[37/5000][265/535][3482] Loss_D: -0.063492 Loss_G: 0.054954 Loss_D_real: -0.052408 Loss_D_fake 0.011083
[37/5000][270/535][3483] Loss_D: -0.065945 Loss_G: 0.011780 Loss_D_real: -0.025114 Loss_D_fake 0.040831
[37/5000][275/535][3484] Loss_D: -0.059398 Loss_G: 0.057825 Loss_D_real: -0.060707 Loss_D_fake -0.001309
[37/5000][280/535][3485] Loss_D: -0.063911 Loss_G: 0.015528 Loss_D_real: -0.017084 Loss_D_fake 0.046827
[37/5000][285/535][3486] Loss_D: -0.062150 Loss_G: 0.040146 Loss_D_real: -0.043452 Loss_D_fake 0.018699
[37/5000][290/535][3487] Loss_D: -0.061307 Loss_G: 0.002978 Loss_D_real: -0.015970 Loss_D_fake 0.045337
[37/5000][295/535][3488] Loss_D: -0.062890 Loss_G: 0.048607 Loss_D_real: -0.053967 Loss_D_fake 0.008923
[37/5000][300/535][3489] Loss_D: -0.066109 Loss_G: 0.011546 Loss_D_real: -0.023224 Loss_D_fake 0.042884
[37/5000][305/535][3490] Loss_D: -0.063035 Loss_G: 0.048397 Loss_D_real: -0.053127 Loss_D_fake 0.009908
[37/5000][310/535][3491] Loss_D: -0.064909 Loss_G: 0.005542 Loss_D_real: -0.021305 Loss_D_fake 0.043603
[37/5000][315/535][3492] Loss_D: -0.060011 Loss_G: 0.054667 Loss_D_real: -0.055018 Loss_D_fake 0.004994
[37/5000][320/535][3493] Loss_D: -0.063465 Loss_G: 0.015041 Loss_D_real: -0.022784 Loss_D_fake 0.040681
[37/5000][325/535][3494] Loss_D: -0.064331 Loss_G: 0.028175 Loss_D_real: -0.032625 Loss_D_fake 0.031706
[37/5000][330/535][3495] Loss_D: -0.064225 Loss_G: 0.034154 Loss_D_real: -0.037527 Loss_D_fake 0.026698
[37/5000][335/535][3496] Loss_D: -0.066166 Loss_G: 0.032862 Loss_D_real: -0.035562 Loss_D_fake 0.030604
[37/5000][340/535][3497] Loss_D: -0.065018 Loss_G: 0.022021 Loss_D_real: -0.032401 Loss_D_fake 0.032617
[37/5000][345/535][3498] Loss_D: -0.062314 Loss_G: 0.041099 Loss_D_real: -0.040954 Loss_D_fake 0.021361
[37/5000][350/535][3499] Loss_D: -0.065362 Loss_G: 0.010188 Loss_D_real: -0.021286 Loss_D_fake 0.044076
[37/5000][355/535][3500] Loss_D: -0.062748 Loss_G: 0.056564 Loss_D_real: -0.052572 Loss_D_fake 0.010175
[37/5000][455/535][3501] Loss_D: -0.066542 Loss_G: 0.017411 Loss_D_real: -0.026302 Loss_D_fake 0.040241
[37/5000][460/535][3502] Loss_D: -0.065506 Loss_G: 0.051691 Loss_D_real: -0.055095 Loss_D_fake 0.010411
[37/5000][465/535][3503] Loss_D: -0.061032 Loss_G: 0.012411 Loss_D_real: -0.019715 Loss_D_fake 0.041317
[37/5000][470/535][3504] Loss_D: -0.062644 Loss_G: 0.041255 Loss_D_real: -0.046486 Loss_D_fake 0.016158
[37/5000][475/535][3505] Loss_D: -0.066352 Loss_G: 0.027285 Loss_D_real: -0.027842 Loss_D_fake 0.038510
[37/5000][480/535][3506] Loss_D: -0.067342 Loss_G: 0.049411 Loss_D_real: -0.051105 Loss_D_fake 0.016237
[37/5000][485/535][3507] Loss_D: -0.061862 Loss_G: -0.006483 Loss_D_real: -0.010175 Loss_D_fake 0.051687
[37/5000][490/535][3508] Loss_D: -0.059569 Loss_G: 0.044009 Loss_D_real: -0.050427 Loss_D_fake 0.009142
[37/5000][495/535][3509] Loss_D: -0.063247 Loss_G: 0.019390 Loss_D_real: -0.022492 Loss_D_fake 0.040755
[37/5000][500/535][3510] Loss_D: -0.065316 Loss_G: 0.034740 Loss_D_real: -0.043509 Loss_D_fake 0.021806
[37/5000][505/535][3511] Loss_D: -0.065773 Loss_G: 0.034232 Loss_D_real: -0.040627 Loss_D_fake 0.025147
[37/5000][510/535][3512] Loss_D: -0.065340 Loss_G: 0.017921 Loss_D_real: -0.025852 Loss_D_fake 0.039488
[37/5000][515/535][3513] Loss_D: -0.061919 Loss_G: 0.048700 Loss_D_real: -0.050158 Loss_D_fake 0.011760
[37/5000][520/535][3514] Loss_D: -0.063780 Loss_G: 0.047154 Loss_D_real: -0.045656 Loss_D_fake 0.018124
[37/5000][525/535][3515] Loss_D: -0.062775 Loss_G: 0.004034 Loss_D_real: -0.013861 Loss_D_fake 0.048915
[37/5000][530/535][3516] Loss_D: -0.060600 Loss_G: 0.051345 Loss_D_real: -0.054087 Loss_D_fake 0.006514
[37/5000][535/535][3517] Loss_D: -0.059675 Loss_G: 0.023376 Loss_D_real: -0.027677 Loss_D_fake 0.031998
[38/5000][5/535][3518] Loss_D: -0.065200 Loss_G: 0.022473 Loss_D_real: -0.032806 Loss_D_fake 0.032393
[38/5000][10/535][3519] Loss_D: -0.062067 Loss_G: 0.037528 Loss_D_real: -0.040052 Loss_D_fake 0.022016
[38/5000][15/535][3520] Loss_D: -0.066981 Loss_G: 0.030818 Loss_D_real: -0.039007 Loss_D_fake 0.027974
[38/5000][20/535][3521] Loss_D: -0.064768 Loss_G: 0.022930 Loss_D_real: -0.032827 Loss_D_fake 0.031941
[38/5000][25/535][3522] Loss_D: -0.062506 Loss_G: 0.053620 Loss_D_real: -0.051828 Loss_D_fake 0.010678
[38/5000][30/535][3523] Loss_D: -0.060454 Loss_G: -0.000485 Loss_D_real: -0.008461 Loss_D_fake 0.051993
[38/5000][35/535][3524] Loss_D: -0.063047 Loss_G: 0.046438 Loss_D_real: -0.048881 Loss_D_fake 0.014166
[38/5000][40/535][3525] Loss_D: -0.061312 Loss_G: 0.001716 Loss_D_real: -0.017625 Loss_D_fake 0.043687
[38/5000][45/535][3526] Loss_D: -0.061974 Loss_G: 0.052517 Loss_D_real: -0.054109 Loss_D_fake 0.007865
[38/5000][50/535][3527] Loss_D: -0.060556 Loss_G: 0.013422 Loss_D_real: -0.017079 Loss_D_fake 0.043478
[38/5000][55/535][3528] Loss_D: -0.064455 Loss_G: 0.039606 Loss_D_real: -0.044093 Loss_D_fake 0.020362
[38/5000][60/535][3529] Loss_D: -0.066077 Loss_G: 0.018109 Loss_D_real: -0.027563 Loss_D_fake 0.038514
[38/5000][65/535][3530] Loss_D: -0.063482 Loss_G: 0.026247 Loss_D_real: -0.031810 Loss_D_fake 0.031672
[38/5000][70/535][3531] Loss_D: -0.064855 Loss_G: 0.046378 Loss_D_real: -0.049598 Loss_D_fake 0.015256
[38/5000][75/535][3532] Loss_D: -0.067684 Loss_G: 0.032293 Loss_D_real: -0.034635 Loss_D_fake 0.033048
[38/5000][80/535][3533] Loss_D: -0.067139 Loss_G: 0.046688 Loss_D_real: -0.041922 Loss_D_fake 0.025217
[38/5000][85/535][3534] Loss_D: -0.061665 Loss_G: -0.000407 Loss_D_real: -0.012299 Loss_D_fake 0.049366
[38/5000][90/535][3535] Loss_D: -0.062723 Loss_G: 0.047435 Loss_D_real: -0.051364 Loss_D_fake 0.011359
[38/5000][95/535][3536] Loss_D: -0.061173 Loss_G: 0.009966 Loss_D_real: -0.019002 Loss_D_fake 0.042171
[38/5000][100/535][3537] Loss_D: -0.066232 Loss_G: 0.035328 Loss_D_real: -0.043176 Loss_D_fake 0.023056
[38/5000][105/535][3538] Loss_D: -0.064460 Loss_G: 0.039783 Loss_D_real: -0.037477 Loss_D_fake 0.026983
[38/5000][110/535][3539] Loss_D: -0.064198 Loss_G: 0.016488 Loss_D_real: -0.024260 Loss_D_fake 0.039938
[38/5000][115/535][3540] Loss_D: -0.060476 Loss_G: 0.056543 Loss_D_real: -0.055429 Loss_D_fake 0.005047
[38/5000][120/535][3541] Loss_D: -0.065194 Loss_G: 0.010929 Loss_D_real: -0.021181 Loss_D_fake 0.044013
[38/5000][125/535][3542] Loss_D: -0.064353 Loss_G: 0.046439 Loss_D_real: -0.054367 Loss_D_fake 0.009986
[38/5000][130/535][3543] Loss_D: -0.062267 Loss_G: 0.010793 Loss_D_real: -0.020153 Loss_D_fake 0.042113
[38/5000][135/535][3544] Loss_D: -0.061771 Loss_G: 0.048218 Loss_D_real: -0.049938 Loss_D_fake 0.011833
[38/5000][140/535][3545] Loss_D: -0.062328 Loss_G: 0.033397 Loss_D_real: -0.036262 Loss_D_fake 0.026066
[38/5000][145/535][3546] Loss_D: -0.066426 Loss_G: 0.029209 Loss_D_real: -0.037460 Loss_D_fake 0.028966
[38/5000][150/535][3547] Loss_D: -0.065272 Loss_G: 0.044936 Loss_D_real: -0.047857 Loss_D_fake 0.017415
[38/5000][155/535][3548] Loss_D: -0.064589 Loss_G: 0.043862 Loss_D_real: -0.040481 Loss_D_fake 0.024108
[38/5000][160/535][3549] Loss_D: -0.063389 Loss_G: -0.000858 Loss_D_real: -0.011081 Loss_D_fake 0.052309
[38/5000][165/535][3550] Loss_D: -0.061686 Loss_G: 0.045855 Loss_D_real: -0.048369 Loss_D_fake 0.013317
[38/5000][170/535][3551] Loss_D: -0.062886 Loss_G: 0.018504 Loss_D_real: -0.025863 Loss_D_fake 0.037023
[38/5000][175/535][3552] Loss_D: -0.066304 Loss_G: 0.018290 Loss_D_real: -0.031323 Loss_D_fake 0.034981
[38/5000][180/535][3553] Loss_D: -0.065699 Loss_G: 0.039625 Loss_D_real: -0.046169 Loss_D_fake 0.019529
[38/5000][185/535][3554] Loss_D: -0.066333 Loss_G: 0.040532 Loss_D_real: -0.040106 Loss_D_fake 0.026227
[38/5000][190/535][3555] Loss_D: -0.064607 Loss_G: 0.011869 Loss_D_real: -0.020145 Loss_D_fake 0.044461
[38/5000][195/535][3556] Loss_D: -0.061338 Loss_G: 0.055512 Loss_D_real: -0.058606 Loss_D_fake 0.002732
[38/5000][200/535][3557] Loss_D: -0.066673 Loss_G: 0.029660 Loss_D_real: -0.035308 Loss_D_fake 0.031365
[38/5000][205/535][3558] Loss_D: -0.066590 Loss_G: 0.029205 Loss_D_real: -0.038328 Loss_D_fake 0.028262
[38/5000][210/535][3559] Loss_D: -0.064112 Loss_G: 0.000806 Loss_D_real: -0.019983 Loss_D_fake 0.044129
[38/5000][215/535][3560] Loss_D: -0.063502 Loss_G: 0.054141 Loss_D_real: -0.055399 Loss_D_fake 0.008103
[38/5000][220/535][3561] Loss_D: -0.063641 Loss_G: 0.002415 Loss_D_real: -0.013273 Loss_D_fake 0.050368
[38/5000][225/535][3562] Loss_D: -0.060624 Loss_G: 0.048471 Loss_D_real: -0.049675 Loss_D_fake 0.010949
[38/5000][230/535][3563] Loss_D: -0.061675 Loss_G: 0.000222 Loss_D_real: -0.013308 Loss_D_fake 0.048366
[38/5000][235/535][3564] Loss_D: -0.064210 Loss_G: 0.049467 Loss_D_real: -0.049359 Loss_D_fake 0.014852
[38/5000][240/535][3565] Loss_D: -0.064167 Loss_G: 0.018673 Loss_D_real: -0.026222 Loss_D_fake 0.037945
[38/5000][245/535][3566] Loss_D: -0.060034 Loss_G: 0.016768 Loss_D_real: -0.027782 Loss_D_fake 0.032253
[38/5000][250/535][3567] Loss_D: -0.063471 Loss_G: 0.048888 Loss_D_real: -0.050264 Loss_D_fake 0.013207
[38/5000][255/535][3568] Loss_D: -0.064178 Loss_G: 0.014736 Loss_D_real: -0.020986 Loss_D_fake 0.043192
[38/5000][260/535][3569] Loss_D: -0.064491 Loss_G: 0.034615 Loss_D_real: -0.039966 Loss_D_fake 0.024525
[38/5000][265/535][3570] Loss_D: -0.064789 Loss_G: 0.014921 Loss_D_real: -0.030684 Loss_D_fake 0.034105
[38/5000][270/535][3571] Loss_D: -0.066453 Loss_G: 0.044718 Loss_D_real: -0.047145 Loss_D_fake 0.019308
[38/5000][275/535][3572] Loss_D: -0.064708 Loss_G: 0.001899 Loss_D_real: -0.019146 Loss_D_fake 0.045562
[38/5000][280/535][3573] Loss_D: -0.061726 Loss_G: 0.059163 Loss_D_real: -0.059707 Loss_D_fake 0.002019
[38/5000][285/535][3574] Loss_D: -0.059818 Loss_G: -0.003921 Loss_D_real: -0.006114 Loss_D_fake 0.053704
[38/5000][290/535][3575] Loss_D: -0.063331 Loss_G: 0.044896 Loss_D_real: -0.044855 Loss_D_fake 0.018476
[38/5000][295/535][3576] Loss_D: -0.063598 Loss_G: 0.025323 Loss_D_real: -0.028025 Loss_D_fake 0.035573
[38/5000][300/535][3577] Loss_D: -0.065745 Loss_G: 0.025037 Loss_D_real: -0.032575 Loss_D_fake 0.033170
[38/5000][305/535][3578] Loss_D: -0.063307 Loss_G: 0.025094 Loss_D_real: -0.030046 Loss_D_fake 0.033261
[38/5000][310/535][3579] Loss_D: -0.062071 Loss_G: 0.045492 Loss_D_real: -0.049764 Loss_D_fake 0.012307
[38/5000][315/535][3580] Loss_D: -0.061951 Loss_G: 0.006364 Loss_D_real: -0.018615 Loss_D_fake 0.043336
[38/5000][320/535][3581] Loss_D: -0.062626 Loss_G: 0.048143 Loss_D_real: -0.048897 Loss_D_fake 0.013729
[38/5000][325/535][3582] Loss_D: -0.063805 Loss_G: -0.002139 Loss_D_real: -0.011526 Loss_D_fake 0.052279
[38/5000][330/535][3583] Loss_D: -0.059622 Loss_G: 0.053020 Loss_D_real: -0.056521 Loss_D_fake 0.003101
[38/5000][335/535][3584] Loss_D: -0.065768 Loss_G: 0.018436 Loss_D_real: -0.028574 Loss_D_fake 0.037194
[38/5000][340/535][3585] Loss_D: -0.062103 Loss_G: 0.046312 Loss_D_real: -0.044325 Loss_D_fake 0.017778
[38/5000][345/535][3586] Loss_D: -0.064883 Loss_G: 0.026491 Loss_D_real: -0.032517 Loss_D_fake 0.032366
[38/5000][350/535][3587] Loss_D: -0.062872 Loss_G: 0.004557 Loss_D_real: -0.022341 Loss_D_fake 0.040531
[38/5000][355/535][3588] Loss_D: -0.060746 Loss_G: 0.059280 Loss_D_real: -0.058464 Loss_D_fake 0.002282
[38/5000][360/535][3589] Loss_D: -0.063511 Loss_G: 0.006785 Loss_D_real: -0.015381 Loss_D_fake 0.048130
[38/5000][365/535][3590] Loss_D: -0.061908 Loss_G: 0.048613 Loss_D_real: -0.046433 Loss_D_fake 0.015475
[38/5000][370/535][3591] Loss_D: -0.062230 Loss_G: 0.016058 Loss_D_real: -0.023504 Loss_D_fake 0.038726
[38/5000][375/535][3592] Loss_D: -0.065147 Loss_G: 0.042924 Loss_D_real: -0.042492 Loss_D_fake 0.022655
[38/5000][380/535][3593] Loss_D: -0.062620 Loss_G: 0.019136 Loss_D_real: -0.025179 Loss_D_fake 0.037441
[38/5000][385/535][3594] Loss_D: -0.064096 Loss_G: 0.048959 Loss_D_real: -0.047960 Loss_D_fake 0.016136
[38/5000][390/535][3595] Loss_D: -0.062966 Loss_G: 0.022144 Loss_D_real: -0.027098 Loss_D_fake 0.035868
[38/5000][395/535][3596] Loss_D: -0.063422 Loss_G: 0.043982 Loss_D_real: -0.043634 Loss_D_fake 0.019788
[38/5000][400/535][3597] Loss_D: -0.064087 Loss_G: 0.014935 Loss_D_real: -0.028133 Loss_D_fake 0.035954
[38/5000][405/535][3598] Loss_D: -0.062872 Loss_G: 0.029773 Loss_D_real: -0.031893 Loss_D_fake 0.030979
[38/5000][410/535][3599] Loss_D: -0.066375 Loss_G: 0.039703 Loss_D_real: -0.042237 Loss_D_fake 0.024138
[38/5000][415/535][3600] Loss_D: -0.062137 Loss_G: 0.053678 Loss_D_real: -0.051887 Loss_D_fake 0.010251
[38/5000][420/535][3601] Loss_D: -0.061528 Loss_G: -0.001355 Loss_D_real: -0.008528 Loss_D_fake 0.053000
[38/5000][425/535][3602] Loss_D: -0.061014 Loss_G: 0.054354 Loss_D_real: -0.057267 Loss_D_fake 0.003748
[38/5000][430/535][3603] Loss_D: -0.062150 Loss_G: 0.002342 Loss_D_real: -0.010935 Loss_D_fake 0.051215
[38/5000][435/535][3604] Loss_D: -0.063655 Loss_G: 0.034926 Loss_D_real: -0.040212 Loss_D_fake 0.023444
[38/5000][440/535][3605] Loss_D: -0.061916 Loss_G: 0.018440 Loss_D_real: -0.026673 Loss_D_fake 0.035243
[38/5000][445/535][3606] Loss_D: -0.062648 Loss_G: 0.041145 Loss_D_real: -0.046078 Loss_D_fake 0.016570
[38/5000][450/535][3607] Loss_D: -0.062818 Loss_G: 0.021497 Loss_D_real: -0.025744 Loss_D_fake 0.037075
[38/5000][455/535][3608] Loss_D: -0.060220 Loss_G: 0.049518 Loss_D_real: -0.049486 Loss_D_fake 0.010734
[38/5000][460/535][3609] Loss_D: -0.063486 Loss_G: 0.018315 Loss_D_real: -0.025372 Loss_D_fake 0.038114
[38/5000][465/535][3610] Loss_D: -0.061359 Loss_G: 0.048586 Loss_D_real: -0.049175 Loss_D_fake 0.012183
[38/5000][470/535][3611] Loss_D: -0.064945 Loss_G: 0.008801 Loss_D_real: -0.023516 Loss_D_fake 0.041429
[38/5000][475/535][3612] Loss_D: -0.063332 Loss_G: 0.053888 Loss_D_real: -0.051840 Loss_D_fake 0.011492
[38/5000][480/535][3613] Loss_D: -0.065066 Loss_G: 0.007736 Loss_D_real: -0.017980 Loss_D_fake 0.047086
[38/5000][485/535][3614] Loss_D: -0.063167 Loss_G: 0.036316 Loss_D_real: -0.045993 Loss_D_fake 0.017174
[38/5000][490/535][3615] Loss_D: -0.064099 Loss_G: 0.034642 Loss_D_real: -0.035291 Loss_D_fake 0.028809
[38/5000][495/535][3616] Loss_D: -0.065188 Loss_G: 0.040371 Loss_D_real: -0.040249 Loss_D_fake 0.024939
[38/5000][500/535][3617] Loss_D: -0.067202 Loss_G: 0.041833 Loss_D_real: -0.042694 Loss_D_fake 0.024508
[38/5000][505/535][3618] Loss_D: -0.065738 Loss_G: 0.032108 Loss_D_real: -0.038311 Loss_D_fake 0.027426
[38/5000][510/535][3619] Loss_D: -0.065325 Loss_G: 0.029415 Loss_D_real: -0.038044 Loss_D_fake 0.027281
[38/5000][515/535][3620] Loss_D: -0.063709 Loss_G: 0.058066 Loss_D_real: -0.050356 Loss_D_fake 0.013354
[38/5000][520/535][3621] Loss_D: -0.059955 Loss_G: -0.004892 Loss_D_real: -0.006256 Loss_D_fake 0.053699
[38/5000][525/535][3622] Loss_D: -0.060483 Loss_G: 0.042052 Loss_D_real: -0.053894 Loss_D_fake 0.006590
[38/5000][530/535][3623] Loss_D: -0.063506 Loss_G: 0.019625 Loss_D_real: -0.027158 Loss_D_fake 0.036348
[38/5000][535/535][3624] Loss_D: -0.056440 Loss_G: 0.017784 Loss_D_real: -0.021858 Loss_D_fake 0.034583
[39/5000][5/535][3625] Loss_D: -0.061484 Loss_G: 0.051750 Loss_D_real: -0.051757 Loss_D_fake 0.009727
[39/5000][10/535][3626] Loss_D: -0.060987 Loss_G: 0.019065 Loss_D_real: -0.023464 Loss_D_fake 0.037524
[39/5000][15/535][3627] Loss_D: -0.063209 Loss_G: 0.035667 Loss_D_real: -0.045615 Loss_D_fake 0.017594
[39/5000][20/535][3628] Loss_D: -0.062030 Loss_G: 0.020968 Loss_D_real: -0.029811 Loss_D_fake 0.032219
[39/5000][25/535][3629] Loss_D: -0.065021 Loss_G: 0.036480 Loss_D_real: -0.038201 Loss_D_fake 0.026820
[39/5000][30/535][3630] Loss_D: -0.063593 Loss_G: 0.003465 Loss_D_real: -0.019071 Loss_D_fake 0.044522
[39/5000][35/535][3631] Loss_D: -0.061218 Loss_G: 0.047829 Loss_D_real: -0.052248 Loss_D_fake 0.008970
[39/5000][40/535][3632] Loss_D: -0.063210 Loss_G: 0.009610 Loss_D_real: -0.024794 Loss_D_fake 0.038416
[39/5000][45/535][3633] Loss_D: -0.063200 Loss_G: 0.038787 Loss_D_real: -0.043741 Loss_D_fake 0.019458
[39/5000][50/535][3634] Loss_D: -0.061560 Loss_G: 0.005365 Loss_D_real: -0.016738 Loss_D_fake 0.044823
[39/5000][55/535][3635] Loss_D: -0.062723 Loss_G: 0.045363 Loss_D_real: -0.047874 Loss_D_fake 0.014849
[39/5000][60/535][3636] Loss_D: -0.062955 Loss_G: 0.011655 Loss_D_real: -0.016246 Loss_D_fake 0.046709
[39/5000][65/535][3637] Loss_D: -0.060902 Loss_G: 0.047388 Loss_D_real: -0.048126 Loss_D_fake 0.012776
[39/5000][70/535][3638] Loss_D: -0.064137 Loss_G: 0.019474 Loss_D_real: -0.023600 Loss_D_fake 0.040537
[39/5000][75/535][3639] Loss_D: -0.063535 Loss_G: 0.040159 Loss_D_real: -0.046332 Loss_D_fake 0.017203
[39/5000][80/535][3640] Loss_D: -0.060525 Loss_G: 0.031588 Loss_D_real: -0.037993 Loss_D_fake 0.022532
[39/5000][85/535][3641] Loss_D: -0.063656 Loss_G: 0.035168 Loss_D_real: -0.043912 Loss_D_fake 0.019744
[39/5000][90/535][3642] Loss_D: -0.063595 Loss_G: 0.051896 Loss_D_real: -0.050049 Loss_D_fake 0.013546
[39/5000][95/535][3643] Loss_D: -0.063208 Loss_G: -0.002035 Loss_D_real: -0.011163 Loss_D_fake 0.052045
[39/5000][100/535][3644] Loss_D: -0.060081 Loss_G: 0.054207 Loss_D_real: -0.053949 Loss_D_fake 0.006132
[39/5000][105/535][3645] Loss_D: -0.060159 Loss_G: 0.007018 Loss_D_real: -0.010624 Loss_D_fake 0.049535
[39/5000][110/535][3646] Loss_D: -0.063280 Loss_G: 0.046794 Loss_D_real: -0.046619 Loss_D_fake 0.016662
[39/5000][115/535][3647] Loss_D: -0.065045 Loss_G: 0.031262 Loss_D_real: -0.032028 Loss_D_fake 0.033018
[39/5000][120/535][3648] Loss_D: -0.065173 Loss_G: 0.045032 Loss_D_real: -0.040978 Loss_D_fake 0.024194
[39/5000][125/535][3649] Loss_D: -0.062842 Loss_G: 0.035246 Loss_D_real: -0.033875 Loss_D_fake 0.028966
[39/5000][130/535][3650] Loss_D: -0.067012 Loss_G: 0.027112 Loss_D_real: -0.031491 Loss_D_fake 0.035521
[39/5000][135/535][3651] Loss_D: -0.064899 Loss_G: 0.023831 Loss_D_real: -0.030294 Loss_D_fake 0.034605
[39/5000][140/535][3652] Loss_D: -0.066300 Loss_G: 0.045664 Loss_D_real: -0.044474 Loss_D_fake 0.021826
[39/5000][145/535][3653] Loss_D: -0.060433 Loss_G: -0.005886 Loss_D_real: -0.006341 Loss_D_fake 0.054092
[39/5000][150/535][3654] Loss_D: -0.059979 Loss_G: 0.047213 Loss_D_real: -0.050619 Loss_D_fake 0.009359
[39/5000][155/535][3655] Loss_D: -0.064937 Loss_G: 0.017609 Loss_D_real: -0.022290 Loss_D_fake 0.042648
[39/5000][160/535][3656] Loss_D: -0.064144 Loss_G: 0.034184 Loss_D_real: -0.043141 Loss_D_fake 0.021002
[39/5000][165/535][3657] Loss_D: -0.063808 Loss_G: 0.018534 Loss_D_real: -0.026531 Loss_D_fake 0.037278
[39/5000][170/535][3658] Loss_D: -0.065224 Loss_G: 0.053680 Loss_D_real: -0.058660 Loss_D_fake 0.006564
[39/5000][175/535][3659] Loss_D: -0.067206 Loss_G: 0.036512 Loss_D_real: -0.040340 Loss_D_fake 0.026866
[39/5000][180/535][3660] Loss_D: -0.066506 Loss_G: 0.012964 Loss_D_real: -0.028244 Loss_D_fake 0.038262
[39/5000][185/535][3661] Loss_D: -0.063576 Loss_G: 0.055776 Loss_D_real: -0.053057 Loss_D_fake 0.010519
[39/5000][190/535][3662] Loss_D: -0.063060 Loss_G: 0.003163 Loss_D_real: -0.014532 Loss_D_fake 0.048528
[39/5000][195/535][3663] Loss_D: -0.062320 Loss_G: 0.051274 Loss_D_real: -0.057365 Loss_D_fake 0.004955
[39/5000][200/535][3664] Loss_D: -0.063672 Loss_G: 0.023224 Loss_D_real: -0.029430 Loss_D_fake 0.034242
[39/5000][205/535][3665] Loss_D: -0.061563 Loss_G: 0.027003 Loss_D_real: -0.033026 Loss_D_fake 0.028538
[39/5000][210/535][3666] Loss_D: -0.062643 Loss_G: 0.036073 Loss_D_real: -0.033811 Loss_D_fake 0.028832
[39/5000][215/535][3667] Loss_D: -0.065984 Loss_G: 0.036694 Loss_D_real: -0.038607 Loss_D_fake 0.027377
[39/5000][220/535][3668] Loss_D: -0.061795 Loss_G: 0.026160 Loss_D_real: -0.029718 Loss_D_fake 0.032077
[39/5000][225/535][3669] Loss_D: -0.063590 Loss_G: 0.054307 Loss_D_real: -0.048862 Loss_D_fake 0.014728
[39/5000][230/535][3670] Loss_D: -0.059793 Loss_G: 0.008396 Loss_D_real: -0.014636 Loss_D_fake 0.045157
[39/5000][235/535][3671] Loss_D: -0.060530 Loss_G: 0.045246 Loss_D_real: -0.051905 Loss_D_fake 0.008625
[39/5000][240/535][3672] Loss_D: -0.063984 Loss_G: 0.006061 Loss_D_real: -0.017140 Loss_D_fake 0.046844
[39/5000][245/535][3673] Loss_D: -0.059252 Loss_G: 0.048223 Loss_D_real: -0.055185 Loss_D_fake 0.004067
[39/5000][250/535][3674] Loss_D: -0.063605 Loss_G: 0.033122 Loss_D_real: -0.038236 Loss_D_fake 0.025369
[39/5000][255/535][3675] Loss_D: -0.062401 Loss_G: 0.008684 Loss_D_real: -0.019376 Loss_D_fake 0.043025
[39/5000][260/535][3676] Loss_D: -0.061590 Loss_G: 0.053079 Loss_D_real: -0.054911 Loss_D_fake 0.006679
[39/5000][265/535][3677] Loss_D: -0.061151 Loss_G: 0.012949 Loss_D_real: -0.018575 Loss_D_fake 0.042575
[39/5000][270/535][3678] Loss_D: -0.063908 Loss_G: 0.031921 Loss_D_real: -0.037795 Loss_D_fake 0.026113
[39/5000][275/535][3679] Loss_D: -0.065144 Loss_G: 0.019150 Loss_D_real: -0.033476 Loss_D_fake 0.031668
[39/5000][280/535][3680] Loss_D: -0.061851 Loss_G: 0.052634 Loss_D_real: -0.050008 Loss_D_fake 0.011843
[39/5000][285/535][3681] Loss_D: -0.064824 Loss_G: 0.008130 Loss_D_real: -0.020385 Loss_D_fake 0.044439
[39/5000][290/535][3682] Loss_D: -0.060499 Loss_G: 0.057884 Loss_D_real: -0.058799 Loss_D_fake 0.001700
[39/5000][295/535][3683] Loss_D: -0.062548 Loss_G: 0.007749 Loss_D_real: -0.018716 Loss_D_fake 0.043832
[39/5000][300/535][3684] Loss_D: -0.062455 Loss_G: 0.041168 Loss_D_real: -0.042731 Loss_D_fake 0.019724
[39/5000][305/535][3685] Loss_D: -0.061996 Loss_G: 0.047294 Loss_D_real: -0.046745 Loss_D_fake 0.015250
[39/5000][310/535][3686] Loss_D: -0.063324 Loss_G: 0.009128 Loss_D_real: -0.022256 Loss_D_fake 0.041068
[39/5000][315/535][3687] Loss_D: -0.063751 Loss_G: 0.048970 Loss_D_real: -0.052405 Loss_D_fake 0.011346
[39/5000][320/535][3688] Loss_D: -0.067917 Loss_G: 0.021596 Loss_D_real: -0.032359 Loss_D_fake 0.035558
[39/5000][325/535][3689] Loss_D: -0.061469 Loss_G: 0.060795 Loss_D_real: -0.058570 Loss_D_fake 0.002900
[39/5000][330/535][3690] Loss_D: -0.065802 Loss_G: 0.040522 Loss_D_real: -0.041080 Loss_D_fake 0.024722
[39/5000][335/535][3691] Loss_D: -0.061751 Loss_G: 0.025586 Loss_D_real: -0.029556 Loss_D_fake 0.032196
[39/5000][340/535][3692] Loss_D: -0.062949 Loss_G: 0.038016 Loss_D_real: -0.042581 Loss_D_fake 0.020368
[39/5000][345/535][3693] Loss_D: -0.062313 Loss_G: 0.038411 Loss_D_real: -0.041653 Loss_D_fake 0.020660
[39/5000][350/535][3694] Loss_D: -0.064963 Loss_G: 0.036073 Loss_D_real: -0.038754 Loss_D_fake 0.026209
[39/5000][355/535][3695] Loss_D: -0.060533 Loss_G: 0.003666 Loss_D_real: -0.014865 Loss_D_fake 0.045668
[39/5000][360/535][3696] Loss_D: -0.062327 Loss_G: 0.049014 Loss_D_real: -0.049659 Loss_D_fake 0.012667
[39/5000][365/535][3697] Loss_D: -0.061388 Loss_G: 0.010547 Loss_D_real: -0.015949 Loss_D_fake 0.045439
[39/5000][370/535][3698] Loss_D: -0.063320 Loss_G: 0.047058 Loss_D_real: -0.050321 Loss_D_fake 0.012999
[39/5000][375/535][3699] Loss_D: -0.061089 Loss_G: 0.024356 Loss_D_real: -0.029390 Loss_D_fake 0.031699
[39/5000][380/535][3700] Loss_D: -0.062550 Loss_G: 0.015615 Loss_D_real: -0.028777 Loss_D_fake 0.033773
[39/5000][385/535][3701] Loss_D: -0.061314 Loss_G: 0.044436 Loss_D_real: -0.044526 Loss_D_fake 0.016788
[39/5000][390/535][3702] Loss_D: -0.062390 Loss_G: 0.003664 Loss_D_real: -0.018375 Loss_D_fake 0.044015
[39/5000][395/535][3703] Loss_D: -0.062247 Loss_G: 0.055979 Loss_D_real: -0.056089 Loss_D_fake 0.006158
[39/5000][400/535][3704] Loss_D: -0.060366 Loss_G: -0.000434 Loss_D_real: -0.013105 Loss_D_fake 0.047261
[39/5000][405/535][3705] Loss_D: -0.063262 Loss_G: 0.044321 Loss_D_real: -0.045843 Loss_D_fake 0.017419
[39/5000][410/535][3706] Loss_D: -0.061762 Loss_G: 0.006236 Loss_D_real: -0.016656 Loss_D_fake 0.045106
[39/5000][415/535][3707] Loss_D: -0.062332 Loss_G: 0.039394 Loss_D_real: -0.039813 Loss_D_fake 0.022519
[39/5000][420/535][3708] Loss_D: -0.063192 Loss_G: 0.020284 Loss_D_real: -0.030873 Loss_D_fake 0.032319
[39/5000][425/535][3709] Loss_D: -0.061750 Loss_G: 0.050426 Loss_D_real: -0.052263 Loss_D_fake 0.009487
[39/5000][430/535][3710] Loss_D: -0.061632 Loss_G: 0.014642 Loss_D_real: -0.023280 Loss_D_fake 0.038352
[39/5000][435/535][3711] Loss_D: -0.061935 Loss_G: 0.036842 Loss_D_real: -0.043589 Loss_D_fake 0.018347
[39/5000][440/535][3712] Loss_D: -0.063422 Loss_G: 0.028235 Loss_D_real: -0.030337 Loss_D_fake 0.033085
[39/5000][445/535][3713] Loss_D: -0.063155 Loss_G: 0.055489 Loss_D_real: -0.053209 Loss_D_fake 0.009946
[39/5000][450/535][3714] Loss_D: -0.060961 Loss_G: 0.002102 Loss_D_real: -0.012327 Loss_D_fake 0.048635
[39/5000][455/535][3715] Loss_D: -0.062720 Loss_G: 0.042924 Loss_D_real: -0.044314 Loss_D_fake 0.018405
[39/5000][460/535][3716] Loss_D: -0.060323 Loss_G: 0.012528 Loss_D_real: -0.013433 Loss_D_fake 0.046890
[39/5000][465/535][3717] Loss_D: -0.061918 Loss_G: 0.045811 Loss_D_real: -0.044263 Loss_D_fake 0.017655
[39/5000][470/535][3718] Loss_D: -0.060444 Loss_G: 0.016773 Loss_D_real: -0.022725 Loss_D_fake 0.037719
[39/5000][475/535][3719] Loss_D: -0.061131 Loss_G: 0.019138 Loss_D_real: -0.031531 Loss_D_fake 0.029600
[39/5000][480/535][3720] Loss_D: -0.062547 Loss_G: 0.028966 Loss_D_real: -0.036341 Loss_D_fake 0.026205
[39/5000][485/535][3721] Loss_D: -0.063775 Loss_G: 0.026870 Loss_D_real: -0.030876 Loss_D_fake 0.032898
[39/5000][490/535][3722] Loss_D: -0.062650 Loss_G: 0.005600 Loss_D_real: -0.018116 Loss_D_fake 0.044534
[39/5000][495/535][3723] Loss_D: -0.059839 Loss_G: 0.051644 Loss_D_real: -0.060834 Loss_D_fake -0.000995
[39/5000][500/535][3724] Loss_D: -0.061119 Loss_G: 0.020666 Loss_D_real: -0.024789 Loss_D_fake 0.036331
[39/5000][505/535][3725] Loss_D: -0.063371 Loss_G: 0.036099 Loss_D_real: -0.037085 Loss_D_fake 0.026286
[39/5000][510/535][3726] Loss_D: -0.064006 Loss_G: 0.017428 Loss_D_real: -0.025003 Loss_D_fake 0.039003
[39/5000][515/535][3727] Loss_D: -0.064684 Loss_G: 0.049955 Loss_D_real: -0.052850 Loss_D_fake 0.011834
[39/5000][520/535][3728] Loss_D: -0.062826 Loss_G: -0.002390 Loss_D_real: -0.015134 Loss_D_fake 0.047691
[39/5000][525/535][3729] Loss_D: -0.064427 Loss_G: 0.042015 Loss_D_real: -0.045561 Loss_D_fake 0.018867
[39/5000][530/535][3730] Loss_D: -0.063034 Loss_G: 0.023588 Loss_D_real: -0.025802 Loss_D_fake 0.037232
[39/5000][535/535][3731] Loss_D: -0.066524 Loss_G: 0.030496 Loss_D_real: -0.034990 Loss_D_fake 0.031534
[40/5000][5/535][3732] Loss_D: -0.066098 Loss_G: 0.003454 Loss_D_real: -0.018314 Loss_D_fake 0.047784
[40/5000][10/535][3733] Loss_D: -0.061641 Loss_G: 0.059395 Loss_D_real: -0.057015 Loss_D_fake 0.004626
[40/5000][15/535][3734] Loss_D: -0.062940 Loss_G: 0.010314 Loss_D_real: -0.018481 Loss_D_fake 0.044459
[40/5000][20/535][3735] Loss_D: -0.061560 Loss_G: 0.048158 Loss_D_real: -0.051061 Loss_D_fake 0.010499
[40/5000][25/535][3736] Loss_D: -0.062096 Loss_G: 0.029428 Loss_D_real: -0.026889 Loss_D_fake 0.035207
[40/5000][30/535][3737] Loss_D: -0.064883 Loss_G: 0.047710 Loss_D_real: -0.050043 Loss_D_fake 0.014840
[40/5000][35/535][3738] Loss_D: -0.064164 Loss_G: 0.007322 Loss_D_real: -0.023608 Loss_D_fake 0.040556
[40/5000][40/535][3739] Loss_D: -0.062645 Loss_G: 0.050147 Loss_D_real: -0.055380 Loss_D_fake 0.007265
[40/5000][45/535][3740] Loss_D: -0.061171 Loss_G: -0.004724 Loss_D_real: -0.009403 Loss_D_fake 0.051769
[40/5000][50/535][3741] Loss_D: -0.060565 Loss_G: 0.033466 Loss_D_real: -0.041034 Loss_D_fake 0.019531
[40/5000][55/535][3742] Loss_D: -0.062868 Loss_G: 0.009428 Loss_D_real: -0.023340 Loss_D_fake 0.039528
[40/5000][60/535][3743] Loss_D: -0.059520 Loss_G: 0.034409 Loss_D_real: -0.045634 Loss_D_fake 0.013886
[40/5000][65/535][3744] Loss_D: -0.064864 Loss_G: 0.030580 Loss_D_real: -0.036154 Loss_D_fake 0.028709
[40/5000][70/535][3745] Loss_D: -0.062555 Loss_G: 0.028834 Loss_D_real: -0.030642 Loss_D_fake 0.031913
[40/5000][75/535][3746] Loss_D: -0.063856 Loss_G: 0.055151 Loss_D_real: -0.052709 Loss_D_fake 0.011147
[40/5000][80/535][3747] Loss_D: -0.059378 Loss_G: -0.004390 Loss_D_real: -0.008924 Loss_D_fake 0.050454
[40/5000][85/535][3748] Loss_D: -0.062459 Loss_G: 0.048779 Loss_D_real: -0.048643 Loss_D_fake 0.013817
[40/5000][90/535][3749] Loss_D: -0.059924 Loss_G: 0.014819 Loss_D_real: -0.022170 Loss_D_fake 0.037755
[40/5000][95/535][3750] Loss_D: -0.061734 Loss_G: 0.040320 Loss_D_real: -0.042104 Loss_D_fake 0.019630
[40/5000][100/535][3751] Loss_D: -0.064432 Loss_G: 0.039841 Loss_D_real: -0.040859 Loss_D_fake 0.023573
[40/5000][105/535][3752] Loss_D: -0.062282 Loss_G: 0.005969 Loss_D_real: -0.018790 Loss_D_fake 0.043492
[40/5000][110/535][3753] Loss_D: -0.060082 Loss_G: 0.053206 Loss_D_real: -0.055041 Loss_D_fake 0.005040
[40/5000][115/535][3754] Loss_D: -0.062228 Loss_G: 0.011810 Loss_D_real: -0.024459 Loss_D_fake 0.037768
[40/5000][120/535][3755] Loss_D: -0.063870 Loss_G: 0.041638 Loss_D_real: -0.040514 Loss_D_fake 0.023356
[40/5000][125/535][3756] Loss_D: -0.058932 Loss_G: 0.014564 Loss_D_real: -0.024456 Loss_D_fake 0.034476
[40/5000][130/535][3757] Loss_D: -0.064162 Loss_G: 0.049105 Loss_D_real: -0.044755 Loss_D_fake 0.019407
[40/5000][135/535][3758] Loss_D: -0.062273 Loss_G: -0.000030 Loss_D_real: -0.016309 Loss_D_fake 0.045964
[40/5000][140/535][3759] Loss_D: -0.061570 Loss_G: 0.043976 Loss_D_real: -0.052283 Loss_D_fake 0.009286
[40/5000][145/535][3760] Loss_D: -0.061628 Loss_G: 0.028454 Loss_D_real: -0.030509 Loss_D_fake 0.031119
[40/5000][150/535][3761] Loss_D: -0.064394 Loss_G: 0.032791 Loss_D_real: -0.035163 Loss_D_fake 0.029232
[40/5000][155/535][3762] Loss_D: -0.065743 Loss_G: 0.030457 Loss_D_real: -0.037462 Loss_D_fake 0.028281
[40/5000][160/535][3763] Loss_D: -0.063126 Loss_G: 0.020495 Loss_D_real: -0.032908 Loss_D_fake 0.030219
[40/5000][165/535][3764] Loss_D: -0.064348 Loss_G: 0.045177 Loss_D_real: -0.043690 Loss_D_fake 0.020658
[40/5000][170/535][3765] Loss_D: -0.064467 Loss_G: 0.009273 Loss_D_real: -0.022408 Loss_D_fake 0.042059
[40/5000][175/535][3766] Loss_D: -0.061411 Loss_G: 0.049886 Loss_D_real: -0.049351 Loss_D_fake 0.012060
[40/5000][180/535][3767] Loss_D: -0.061673 Loss_G: 0.008961 Loss_D_real: -0.016393 Loss_D_fake 0.045280
[40/5000][185/535][3768] Loss_D: -0.058834 Loss_G: 0.040771 Loss_D_real: -0.043120 Loss_D_fake 0.015714
[40/5000][190/535][3769] Loss_D: -0.061380 Loss_G: 0.011053 Loss_D_real: -0.020167 Loss_D_fake 0.041214
[40/5000][195/535][3770] Loss_D: -0.062467 Loss_G: 0.033641 Loss_D_real: -0.037043 Loss_D_fake 0.025424
[40/5000][200/535][3771] Loss_D: -0.061348 Loss_G: 0.007380 Loss_D_real: -0.017995 Loss_D_fake 0.043352
[40/5000][205/535][3772] Loss_D: -0.062071 Loss_G: 0.048288 Loss_D_real: -0.054312 Loss_D_fake 0.007760
[40/5000][210/535][3773] Loss_D: -0.061007 Loss_G: 0.011190 Loss_D_real: -0.022436 Loss_D_fake 0.038571
[40/5000][215/535][3774] Loss_D: -0.060858 Loss_G: 0.044132 Loss_D_real: -0.043964 Loss_D_fake 0.016894
[40/5000][220/535][3775] Loss_D: -0.063404 Loss_G: 0.023219 Loss_D_real: -0.031640 Loss_D_fake 0.031764
[40/5000][225/535][3776] Loss_D: -0.061563 Loss_G: 0.023970 Loss_D_real: -0.029509 Loss_D_fake 0.032054
[40/5000][230/535][3777] Loss_D: -0.060387 Loss_G: 0.058634 Loss_D_real: -0.052676 Loss_D_fake 0.007711
[40/5000][235/535][3778] Loss_D: -0.060372 Loss_G: 0.004288 Loss_D_real: -0.015404 Loss_D_fake 0.044968
[40/5000][240/535][3779] Loss_D: -0.062462 Loss_G: 0.040863 Loss_D_real: -0.045576 Loss_D_fake 0.016886
[40/5000][245/535][3780] Loss_D: -0.059645 Loss_G: 0.022982 Loss_D_real: -0.028600 Loss_D_fake 0.031045
[40/5000][250/535][3781] Loss_D: -0.063277 Loss_G: 0.033867 Loss_D_real: -0.037298 Loss_D_fake 0.025979
[40/5000][255/535][3782] Loss_D: -0.061454 Loss_G: 0.028728 Loss_D_real: -0.030753 Loss_D_fake 0.030702
[40/5000][260/535][3783] Loss_D: -0.064580 Loss_G: 0.001916 Loss_D_real: -0.019862 Loss_D_fake 0.044718
[40/5000][265/535][3784] Loss_D: -0.060801 Loss_G: 0.054833 Loss_D_real: -0.055651 Loss_D_fake 0.005150
[40/5000][270/535][3785] Loss_D: -0.061860 Loss_G: 0.002201 Loss_D_real: -0.009814 Loss_D_fake 0.052046
[40/5000][275/535][3786] Loss_D: -0.058074 Loss_G: 0.044078 Loss_D_real: -0.046427 Loss_D_fake 0.011647
[40/5000][280/535][3787] Loss_D: -0.060317 Loss_G: 0.022769 Loss_D_real: -0.020941 Loss_D_fake 0.039376
[40/5000][285/535][3788] Loss_D: -0.061277 Loss_G: 0.014686 Loss_D_real: -0.028383 Loss_D_fake 0.032894
[40/5000][290/535][3789] Loss_D: -0.063179 Loss_G: 0.041043 Loss_D_real: -0.044215 Loss_D_fake 0.018964
[40/5000][295/535][3790] Loss_D: -0.065778 Loss_G: 0.013373 Loss_D_real: -0.026176 Loss_D_fake 0.039602
[40/5000][300/535][3791] Loss_D: -0.060396 Loss_G: 0.061602 Loss_D_real: -0.059105 Loss_D_fake 0.001291
[40/5000][305/535][3792] Loss_D: -0.058729 Loss_G: 0.002652 Loss_D_real: -0.007144 Loss_D_fake 0.051585
[40/5000][310/535][3793] Loss_D: -0.059766 Loss_G: 0.038402 Loss_D_real: -0.045783 Loss_D_fake 0.013982
[40/5000][315/535][3794] Loss_D: -0.063467 Loss_G: 0.020036 Loss_D_real: -0.023360 Loss_D_fake 0.040108
[40/5000][320/535][3795] Loss_D: -0.063000 Loss_G: 0.047216 Loss_D_real: -0.044508 Loss_D_fake 0.018491
[40/5000][325/535][3796] Loss_D: -0.065608 Loss_G: 0.021977 Loss_D_real: -0.026807 Loss_D_fake 0.038801
[40/5000][330/535][3797] Loss_D: -0.066040 Loss_G: 0.030377 Loss_D_real: -0.036553 Loss_D_fake 0.029486
[40/5000][335/535][3798] Loss_D: -0.062734 Loss_G: 0.043575 Loss_D_real: -0.043745 Loss_D_fake 0.018989
[40/5000][340/535][3799] Loss_D: -0.065284 Loss_G: 0.020707 Loss_D_real: -0.028813 Loss_D_fake 0.036471
[40/5000][345/535][3800] Loss_D: -0.061383 Loss_G: 0.043071 Loss_D_real: -0.044300 Loss_D_fake 0.017084
[40/5000][350/535][3801] Loss_D: -0.062921 Loss_G: 0.004492 Loss_D_real: -0.019397 Loss_D_fake 0.043524
[40/5000][355/535][3802] Loss_D: -0.057963 Loss_G: 0.051283 Loss_D_real: -0.054799 Loss_D_fake 0.003164
[40/5000][360/535][3803] Loss_D: -0.062501 Loss_G: 0.004109 Loss_D_real: -0.016614 Loss_D_fake 0.045888
[40/5000][365/535][3804] Loss_D: -0.062149 Loss_G: 0.033616 Loss_D_real: -0.041055 Loss_D_fake 0.021094
[40/5000][370/535][3805] Loss_D: -0.063826 Loss_G: 0.006948 Loss_D_real: -0.025242 Loss_D_fake 0.038584
[40/5000][375/535][3806] Loss_D: -0.060596 Loss_G: 0.029747 Loss_D_real: -0.039120 Loss_D_fake 0.021476
[40/5000][380/535][3807] Loss_D: -0.061695 Loss_G: 0.028257 Loss_D_real: -0.034585 Loss_D_fake 0.027110
[40/5000][385/535][3808] Loss_D: -0.062864 Loss_G: 0.044900 Loss_D_real: -0.044945 Loss_D_fake 0.017919
[40/5000][390/535][3809] Loss_D: -0.063537 Loss_G: 0.004874 Loss_D_real: -0.019871 Loss_D_fake 0.043666
[40/5000][395/535][3810] Loss_D: -0.058784 Loss_G: 0.053663 Loss_D_real: -0.056931 Loss_D_fake 0.001853
[40/5000][400/535][3811] Loss_D: -0.061938 Loss_G: 0.004881 Loss_D_real: -0.013941 Loss_D_fake 0.047996
[40/5000][405/535][3812] Loss_D: -0.060059 Loss_G: 0.037740 Loss_D_real: -0.040099 Loss_D_fake 0.019960
[40/5000][410/535][3813] Loss_D: -0.062464 Loss_G: 0.002312 Loss_D_real: -0.015818 Loss_D_fake 0.046646
[40/5000][415/535][3814] Loss_D: -0.061092 Loss_G: 0.051051 Loss_D_real: -0.054326 Loss_D_fake 0.006767
[40/5000][420/535][3815] Loss_D: -0.062095 Loss_G: 0.020111 Loss_D_real: -0.029814 Loss_D_fake 0.032281
[40/5000][425/535][3816] Loss_D: -0.063415 Loss_G: 0.034219 Loss_D_real: -0.037447 Loss_D_fake 0.025968
[40/5000][430/535][3817] Loss_D: -0.061072 Loss_G: 0.027463 Loss_D_real: -0.038381 Loss_D_fake 0.022691
[40/5000][435/535][3818] Loss_D: -0.062826 Loss_G: 0.050863 Loss_D_real: -0.046501 Loss_D_fake 0.016325
[40/5000][440/535][3819] Loss_D: -0.064115 Loss_G: 0.016514 Loss_D_real: -0.025411 Loss_D_fake 0.038704
[40/5000][445/535][3820] Loss_D: -0.061371 Loss_G: 0.039200 Loss_D_real: -0.044765 Loss_D_fake 0.016606
[40/5000][450/535][3821] Loss_D: -0.061331 Loss_G: 0.047656 Loss_D_real: -0.047517 Loss_D_fake 0.013814
[40/5000][455/535][3822] Loss_D: -0.061408 Loss_G: -0.002965 Loss_D_real: -0.010360 Loss_D_fake 0.051048
[40/5000][460/535][3823] Loss_D: -0.058593 Loss_G: 0.054594 Loss_D_real: -0.057849 Loss_D_fake 0.000744
[40/5000][465/535][3824] Loss_D: -0.060521 Loss_G: 0.017908 Loss_D_real: -0.024018 Loss_D_fake 0.036503
[40/5000][470/535][3825] Loss_D: -0.065652 Loss_G: 0.049518 Loss_D_real: -0.046772 Loss_D_fake 0.018880
[40/5000][475/535][3826] Loss_D: -0.061964 Loss_G: 0.008338 Loss_D_real: -0.022243 Loss_D_fake 0.039722
[40/5000][480/535][3827] Loss_D: -0.063244 Loss_G: 0.055953 Loss_D_real: -0.054059 Loss_D_fake 0.009185
[40/5000][485/535][3828] Loss_D: -0.064565 Loss_G: 0.002710 Loss_D_real: -0.018701 Loss_D_fake 0.045864
[40/5000][490/535][3829] Loss_D: -0.060124 Loss_G: 0.043820 Loss_D_real: -0.045475 Loss_D_fake 0.014649
[40/5000][495/535][3830] Loss_D: -0.063153 Loss_G: 0.027439 Loss_D_real: -0.032749 Loss_D_fake 0.030404
[40/5000][500/535][3831] Loss_D: -0.063680 Loss_G: 0.056698 Loss_D_real: -0.053966 Loss_D_fake 0.009715
[40/5000][505/535][3832] Loss_D: -0.061539 Loss_G: 0.012331 Loss_D_real: -0.020050 Loss_D_fake 0.041489
[40/5000][510/535][3833] Loss_D: -0.061225 Loss_G: 0.043408 Loss_D_real: -0.044146 Loss_D_fake 0.017078
[40/5000][515/535][3834] Loss_D: -0.063540 Loss_G: 0.029347 Loss_D_real: -0.031354 Loss_D_fake 0.032186
[40/5000][520/535][3835] Loss_D: -0.062019 Loss_G: 0.009889 Loss_D_real: -0.022294 Loss_D_fake 0.039725
[40/5000][525/535][3836] Loss_D: -0.063471 Loss_G: 0.039226 Loss_D_real: -0.041168 Loss_D_fake 0.022303
[40/5000][530/535][3837] Loss_D: -0.064346 Loss_G: 0.016869 Loss_D_real: -0.023324 Loss_D_fake 0.041022
[40/5000][535/535][3838] Loss_D: -0.065751 Loss_G: 0.055534 Loss_D_real: -0.053067 Loss_D_fake 0.012683
[41/5000][5/535][3839] Loss_D: -0.060248 Loss_G: 0.004771 Loss_D_real: -0.023511 Loss_D_fake 0.036737
[41/5000][10/535][3840] Loss_D: -0.060005 Loss_G: 0.050989 Loss_D_real: -0.047991 Loss_D_fake 0.012014
[41/5000][15/535][3841] Loss_D: -0.061323 Loss_G: 0.009826 Loss_D_real: -0.019661 Loss_D_fake 0.041661
[41/5000][20/535][3842] Loss_D: -0.062706 Loss_G: 0.031825 Loss_D_real: -0.038200 Loss_D_fake 0.024506
[41/5000][25/535][3843] Loss_D: -0.059626 Loss_G: 0.013309 Loss_D_real: -0.023778 Loss_D_fake 0.035848
[41/5000][30/535][3844] Loss_D: -0.062493 Loss_G: 0.043398 Loss_D_real: -0.044181 Loss_D_fake 0.018312
[41/5000][35/535][3845] Loss_D: -0.063224 Loss_G: 0.003226 Loss_D_real: -0.021276 Loss_D_fake 0.041948
[41/5000][40/535][3846] Loss_D: -0.061665 Loss_G: 0.056619 Loss_D_real: -0.053981 Loss_D_fake 0.007683
[41/5000][45/535][3847] Loss_D: -0.060956 Loss_G: -0.000039 Loss_D_real: -0.013823 Loss_D_fake 0.047132
[41/5000][50/535][3848] Loss_D: -0.059646 Loss_G: 0.048052 Loss_D_real: -0.048086 Loss_D_fake 0.011560
[41/5000][55/535][3849] Loss_D: -0.061453 Loss_G: 0.032209 Loss_D_real: -0.037182 Loss_D_fake 0.024271
[41/5000][60/535][3850] Loss_D: -0.065971 Loss_G: 0.036698 Loss_D_real: -0.034015 Loss_D_fake 0.031956
[41/5000][65/535][3851] Loss_D: -0.061665 Loss_G: 0.031658 Loss_D_real: -0.036896 Loss_D_fake 0.024770
[41/5000][70/535][3852] Loss_D: -0.061786 Loss_G: 0.007953 Loss_D_real: -0.019641 Loss_D_fake 0.042145
[41/5000][75/535][3853] Loss_D: -0.060063 Loss_G: 0.057257 Loss_D_real: -0.057865 Loss_D_fake 0.002198
[41/5000][80/535][3854] Loss_D: -0.062630 Loss_G: -0.000747 Loss_D_real: -0.016432 Loss_D_fake 0.046198
[41/5000][85/535][3855] Loss_D: -0.061031 Loss_G: 0.050278 Loss_D_real: -0.053354 Loss_D_fake 0.007677
[41/5000][90/535][3856] Loss_D: -0.063933 Loss_G: 0.007896 Loss_D_real: -0.019703 Loss_D_fake 0.044230
[41/5000][95/535][3857] Loss_D: -0.061177 Loss_G: 0.033035 Loss_D_real: -0.036036 Loss_D_fake 0.025141
[41/5000][100/535][3858] Loss_D: -0.064713 Loss_G: 0.028847 Loss_D_real: -0.027338 Loss_D_fake 0.037375
[41/5000][105/535][3859] Loss_D: -0.062000 Loss_G: 0.052117 Loss_D_real: -0.050669 Loss_D_fake 0.011331
[41/5000][110/535][3860] Loss_D: -0.058943 Loss_G: 0.005703 Loss_D_real: -0.013636 Loss_D_fake 0.045308
[41/5000][115/535][3861] Loss_D: -0.056389 Loss_G: 0.052449 Loss_D_real: -0.051933 Loss_D_fake 0.004456
[41/5000][120/535][3862] Loss_D: -0.063025 Loss_G: 0.002438 Loss_D_real: -0.013612 Loss_D_fake 0.049413
[41/5000][125/535][3863] Loss_D: -0.060873 Loss_G: 0.052911 Loss_D_real: -0.048956 Loss_D_fake 0.011918
[41/5000][130/535][3864] Loss_D: -0.059191 Loss_G: 0.008843 Loss_D_real: -0.011969 Loss_D_fake 0.047222
[41/5000][135/535][3865] Loss_D: -0.058561 Loss_G: 0.035268 Loss_D_real: -0.036995 Loss_D_fake 0.021566
[41/5000][140/535][3866] Loss_D: -0.063116 Loss_G: 0.016410 Loss_D_real: -0.024274 Loss_D_fake 0.038842
[41/5000][145/535][3867] Loss_D: -0.062568 Loss_G: 0.044322 Loss_D_real: -0.043832 Loss_D_fake 0.018736
[41/5000][150/535][3868] Loss_D: -0.063977 Loss_G: 0.010472 Loss_D_real: -0.020716 Loss_D_fake 0.043261
[41/5000][155/535][3869] Loss_D: -0.061479 Loss_G: 0.031834 Loss_D_real: -0.037562 Loss_D_fake 0.023917
[41/5000][160/535][3870] Loss_D: -0.064152 Loss_G: 0.023562 Loss_D_real: -0.031095 Loss_D_fake 0.033057
[41/5000][165/535][3871] Loss_D: -0.065069 Loss_G: 0.035403 Loss_D_real: -0.032554 Loss_D_fake 0.032514
[41/5000][170/535][3872] Loss_D: -0.063361 Loss_G: 0.022928 Loss_D_real: -0.028150 Loss_D_fake 0.035211
[41/5000][175/535][3873] Loss_D: -0.064060 Loss_G: 0.045026 Loss_D_real: -0.046381 Loss_D_fake 0.017679
[41/5000][180/535][3874] Loss_D: -0.060298 Loss_G: 0.001844 Loss_D_real: -0.012530 Loss_D_fake 0.047768
[41/5000][185/535][3875] Loss_D: -0.058657 Loss_G: 0.043625 Loss_D_real: -0.045730 Loss_D_fake 0.012928
[41/5000][190/535][3876] Loss_D: -0.063216 Loss_G: 0.017959 Loss_D_real: -0.023828 Loss_D_fake 0.039388
[41/5000][195/535][3877] Loss_D: -0.063372 Loss_G: 0.033959 Loss_D_real: -0.036617 Loss_D_fake 0.026755
[41/5000][200/535][3878] Loss_D: -0.064458 Loss_G: 0.027186 Loss_D_real: -0.030880 Loss_D_fake 0.033578
[41/5000][205/535][3879] Loss_D: -0.058955 Loss_G: 0.010546 Loss_D_real: -0.020383 Loss_D_fake 0.038572
[41/5000][210/535][3880] Loss_D: -0.059288 Loss_G: 0.052168 Loss_D_real: -0.051233 Loss_D_fake 0.008055
[41/5000][215/535][3881] Loss_D: -0.062414 Loss_G: -0.000795 Loss_D_real: -0.014659 Loss_D_fake 0.047755
[41/5000][220/535][3882] Loss_D: -0.056601 Loss_G: 0.046951 Loss_D_real: -0.050884 Loss_D_fake 0.005717
[41/5000][225/535][3883] Loss_D: -0.059024 Loss_G: 0.018837 Loss_D_real: -0.026415 Loss_D_fake 0.032608
[41/5000][230/535][3884] Loss_D: -0.061991 Loss_G: 0.034352 Loss_D_real: -0.037419 Loss_D_fake 0.024572
[41/5000][235/535][3885] Loss_D: -0.062389 Loss_G: 0.039783 Loss_D_real: -0.041155 Loss_D_fake 0.021234
[41/5000][240/535][3886] Loss_D: -0.062613 Loss_G: 0.010358 Loss_D_real: -0.019181 Loss_D_fake 0.043432
[41/5000][245/535][3887] Loss_D: -0.061293 Loss_G: 0.059271 Loss_D_real: -0.056467 Loss_D_fake 0.004825
[41/5000][250/535][3888] Loss_D: -0.060555 Loss_G: 0.018958 Loss_D_real: -0.015408 Loss_D_fake 0.045147
[41/5000][255/535][3889] Loss_D: -0.060959 Loss_G: 0.042563 Loss_D_real: -0.041710 Loss_D_fake 0.019249
[41/5000][260/535][3890] Loss_D: -0.061439 Loss_G: 0.015749 Loss_D_real: -0.024717 Loss_D_fake 0.036721
[41/5000][265/535][3891] Loss_D: -0.061986 Loss_G: 0.032125 Loss_D_real: -0.037342 Loss_D_fake 0.024644
[41/5000][270/535][3892] Loss_D: -0.061243 Loss_G: 0.016109 Loss_D_real: -0.021258 Loss_D_fake 0.039985
[41/5000][275/535][3893] Loss_D: -0.062394 Loss_G: 0.049869 Loss_D_real: -0.044782 Loss_D_fake 0.017612
[41/5000][280/535][3894] Loss_D: -0.061604 Loss_G: 0.021145 Loss_D_real: -0.032349 Loss_D_fake 0.029255
[41/5000][285/535][3895] Loss_D: -0.065967 Loss_G: 0.045542 Loss_D_real: -0.046703 Loss_D_fake 0.019264
[41/5000][290/535][3896] Loss_D: -0.066789 Loss_G: 0.035352 Loss_D_real: -0.038649 Loss_D_fake 0.028141
[41/5000][295/535][3897] Loss_D: -0.066048 Loss_G: 0.024262 Loss_D_real: -0.034456 Loss_D_fake 0.031592
[41/5000][300/535][3898] Loss_D: -0.063841 Loss_G: 0.052790 Loss_D_real: -0.052908 Loss_D_fake 0.010933
[41/5000][305/535][3899] Loss_D: -0.062735 Loss_G: 0.000574 Loss_D_real: -0.018175 Loss_D_fake 0.044560
[41/5000][310/535][3900] Loss_D: -0.059904 Loss_G: 0.050348 Loss_D_real: -0.050517 Loss_D_fake 0.009387
[41/5000][315/535][3901] Loss_D: -0.057390 Loss_G: -0.011297 Loss_D_real: -0.002140 Loss_D_fake 0.055250
[41/5000][320/535][3902] Loss_D: -0.061344 Loss_G: 0.044210 Loss_D_real: -0.045717 Loss_D_fake 0.015627
[41/5000][325/535][3903] Loss_D: -0.061840 Loss_G: 0.014253 Loss_D_real: -0.024553 Loss_D_fake 0.037287
[41/5000][330/535][3904] Loss_D: -0.061758 Loss_G: 0.034977 Loss_D_real: -0.038180 Loss_D_fake 0.023578
[41/5000][335/535][3905] Loss_D: -0.060527 Loss_G: 0.002228 Loss_D_real: -0.016092 Loss_D_fake 0.044435
[41/5000][340/535][3906] Loss_D: -0.064019 Loss_G: 0.036349 Loss_D_real: -0.040133 Loss_D_fake 0.023886
[41/5000][345/535][3907] Loss_D: -0.061129 Loss_G: 0.022305 Loss_D_real: -0.029359 Loss_D_fake 0.031770
[41/5000][350/535][3908] Loss_D: -0.061157 Loss_G: 0.026942 Loss_D_real: -0.031554 Loss_D_fake 0.029604
[41/5000][355/535][3909] Loss_D: -0.063096 Loss_G: 0.019328 Loss_D_real: -0.027799 Loss_D_fake 0.035298
[41/5000][360/535][3910] Loss_D: -0.060265 Loss_G: 0.057492 Loss_D_real: -0.051452 Loss_D_fake 0.008813
[41/5000][365/535][3911] Loss_D: -0.058217 Loss_G: -0.003342 Loss_D_real: -0.004984 Loss_D_fake 0.053233
[41/5000][370/535][3912] Loss_D: -0.060696 Loss_G: 0.043951 Loss_D_real: -0.046057 Loss_D_fake 0.014639
[41/5000][375/535][3913] Loss_D: -0.060525 Loss_G: 0.028803 Loss_D_real: -0.031688 Loss_D_fake 0.028837
[41/5000][380/535][3914] Loss_D: -0.060564 Loss_G: 0.013431 Loss_D_real: -0.023400 Loss_D_fake 0.037164
[41/5000][385/535][3915] Loss_D: -0.060936 Loss_G: 0.035259 Loss_D_real: -0.038142 Loss_D_fake 0.022794
[41/5000][390/535][3916] Loss_D: -0.058111 Loss_G: -0.001457 Loss_D_real: -0.012404 Loss_D_fake 0.045707
[41/5000][395/535][3917] Loss_D: -0.060453 Loss_G: 0.045757 Loss_D_real: -0.046957 Loss_D_fake 0.013496
[41/5000][400/535][3918] Loss_D: -0.062533 Loss_G: 0.026517 Loss_D_real: -0.032957 Loss_D_fake 0.029576
[41/5000][405/535][3919] Loss_D: -0.059571 Loss_G: 0.028566 Loss_D_real: -0.034090 Loss_D_fake 0.025481
[41/5000][410/535][3920] Loss_D: -0.062501 Loss_G: 0.024942 Loss_D_real: -0.029038 Loss_D_fake 0.033462
[41/5000][415/535][3921] Loss_D: -0.062557 Loss_G: 0.046802 Loss_D_real: -0.045066 Loss_D_fake 0.017491
[41/5000][420/535][3922] Loss_D: -0.062445 Loss_G: 0.005466 Loss_D_real: -0.015085 Loss_D_fake 0.047360
[41/5000][425/535][3923] Loss_D: -0.056392 Loss_G: 0.057765 Loss_D_real: -0.059242 Loss_D_fake -0.002850
[41/5000][430/535][3924] Loss_D: -0.059376 Loss_G: -0.001117 Loss_D_real: -0.012270 Loss_D_fake 0.047106
[41/5000][435/535][3925] Loss_D: -0.060872 Loss_G: 0.049203 Loss_D_real: -0.049577 Loss_D_fake 0.011295
[41/5000][440/535][3926] Loss_D: -0.059374 Loss_G: 0.005511 Loss_D_real: -0.014336 Loss_D_fake 0.045038
[41/5000][445/535][3927] Loss_D: -0.061616 Loss_G: 0.040709 Loss_D_real: -0.046679 Loss_D_fake 0.014937
[41/5000][450/535][3928] Loss_D: -0.063961 Loss_G: 0.030131 Loss_D_real: -0.036956 Loss_D_fake 0.027005
[41/5000][455/535][3929] Loss_D: -0.064377 Loss_G: 0.032276 Loss_D_real: -0.036282 Loss_D_fake 0.028095
[41/5000][460/535][3930] Loss_D: -0.063374 Loss_G: 0.033900 Loss_D_real: -0.035240 Loss_D_fake 0.028133
[41/5000][465/535][3931] Loss_D: -0.062452 Loss_G: 0.015089 Loss_D_real: -0.022614 Loss_D_fake 0.039838
[41/5000][470/535][3932] Loss_D: -0.061231 Loss_G: 0.057381 Loss_D_real: -0.054973 Loss_D_fake 0.006257
[41/5000][475/535][3933] Loss_D: -0.061175 Loss_G: 0.001807 Loss_D_real: -0.014818 Loss_D_fake 0.046358
[41/5000][480/535][3934] Loss_D: -0.059938 Loss_G: 0.052286 Loss_D_real: -0.051459 Loss_D_fake 0.008478
[41/5000][485/535][3935] Loss_D: -0.057247 Loss_G: 0.012355 Loss_D_real: -0.020518 Loss_D_fake 0.036729
[41/5000][490/535][3936] Loss_D: -0.062040 Loss_G: 0.033981 Loss_D_real: -0.039321 Loss_D_fake 0.022719
[41/5000][495/535][3937] Loss_D: -0.062683 Loss_G: 0.030328 Loss_D_real: -0.035790 Loss_D_fake 0.026893
[41/5000][500/535][3938] Loss_D: -0.062569 Loss_G: 0.053394 Loss_D_real: -0.050981 Loss_D_fake 0.011588
[41/5000][505/535][3939] Loss_D: -0.061099 Loss_G: 0.000502 Loss_D_real: -0.017935 Loss_D_fake 0.043165
[41/5000][510/535][3940] Loss_D: -0.059627 Loss_G: 0.044722 Loss_D_real: -0.048512 Loss_D_fake 0.011115
[41/5000][515/535][3941] Loss_D: -0.063911 Loss_G: 0.022445 Loss_D_real: -0.031758 Loss_D_fake 0.032153
[41/5000][520/535][3942] Loss_D: -0.058018 Loss_G: 0.040213 Loss_D_real: -0.039879 Loss_D_fake 0.018140
[41/5000][525/535][3943] Loss_D: -0.060709 Loss_G: 0.019343 Loss_D_real: -0.027739 Loss_D_fake 0.032970
[41/5000][530/535][3944] Loss_D: -0.057614 Loss_G: 0.048401 Loss_D_real: -0.046048 Loss_D_fake 0.011566
[41/5000][535/535][3945] Loss_D: -0.059640 Loss_G: 0.002249 Loss_D_real: -0.015820 Loss_D_fake 0.043820
[42/5000][5/535][3946] Loss_D: -0.058526 Loss_G: 0.026527 Loss_D_real: -0.037047 Loss_D_fake 0.021479
[42/5000][10/535][3947] Loss_D: -0.056865 Loss_G: 0.043052 Loss_D_real: -0.044649 Loss_D_fake 0.012216
[42/5000][15/535][3948] Loss_D: -0.063801 Loss_G: 0.009088 Loss_D_real: -0.024290 Loss_D_fake 0.039511
[42/5000][20/535][3949] Loss_D: -0.059778 Loss_G: 0.059696 Loss_D_real: -0.060624 Loss_D_fake -0.000847
[42/5000][25/535][3950] Loss_D: -0.062752 Loss_G: 0.006574 Loss_D_real: -0.015848 Loss_D_fake 0.046904
[42/5000][30/535][3951] Loss_D: -0.060904 Loss_G: 0.051278 Loss_D_real: -0.056599 Loss_D_fake 0.004305
[42/5000][35/535][3952] Loss_D: -0.059881 Loss_G: 0.020333 Loss_D_real: -0.029777 Loss_D_fake 0.030104
[42/5000][40/535][3953] Loss_D: -0.060971 Loss_G: 0.046911 Loss_D_real: -0.044063 Loss_D_fake 0.016907
[42/5000][45/535][3954] Loss_D: -0.064263 Loss_G: 0.036127 Loss_D_real: -0.038324 Loss_D_fake 0.025939
[42/5000][50/535][3955] Loss_D: -0.063038 Loss_G: 0.037762 Loss_D_real: -0.038401 Loss_D_fake 0.024637
[42/5000][55/535][3956] Loss_D: -0.062339 Loss_G: 0.054586 Loss_D_real: -0.051790 Loss_D_fake 0.010549
[42/5000][60/535][3957] Loss_D: -0.060213 Loss_G: -0.006443 Loss_D_real: -0.010076 Loss_D_fake 0.050137
[42/5000][65/535][3958] Loss_D: -0.059391 Loss_G: 0.045626 Loss_D_real: -0.045786 Loss_D_fake 0.013604
[42/5000][70/535][3959] Loss_D: -0.057943 Loss_G: 0.017521 Loss_D_real: -0.024649 Loss_D_fake 0.033294
[42/5000][75/535][3960] Loss_D: -0.059185 Loss_G: 0.049630 Loss_D_real: -0.047378 Loss_D_fake 0.011807
[42/5000][80/535][3961] Loss_D: -0.062369 Loss_G: 0.021963 Loss_D_real: -0.023257 Loss_D_fake 0.039112
[42/5000][85/535][3962] Loss_D: -0.062298 Loss_G: 0.034549 Loss_D_real: -0.035978 Loss_D_fake 0.026320
[42/5000][90/535][3963] Loss_D: -0.060286 Loss_G: 0.004615 Loss_D_real: -0.020168 Loss_D_fake 0.040118
[42/5000][95/535][3964] Loss_D: -0.058776 Loss_G: 0.044415 Loss_D_real: -0.047933 Loss_D_fake 0.010843
[42/5000][100/535][3965] Loss_D: -0.062246 Loss_G: 0.009730 Loss_D_real: -0.022483 Loss_D_fake 0.039763
[42/5000][105/535][3966] Loss_D: -0.062552 Loss_G: 0.031263 Loss_D_real: -0.034556 Loss_D_fake 0.027996
[42/5000][110/535][3967] Loss_D: -0.062908 Loss_G: 0.031916 Loss_D_real: -0.041413 Loss_D_fake 0.021495
[42/5000][115/535][3968] Loss_D: -0.064097 Loss_G: 0.035215 Loss_D_real: -0.033953 Loss_D_fake 0.030144
[42/5000][120/535][3969] Loss_D: -0.058855 Loss_G: -0.001910 Loss_D_real: -0.014002 Loss_D_fake 0.044853
[42/5000][125/535][3970] Loss_D: -0.059388 Loss_G: 0.049642 Loss_D_real: -0.049527 Loss_D_fake 0.009861
[42/5000][130/535][3971] Loss_D: -0.058434 Loss_G: -0.001579 Loss_D_real: -0.008520 Loss_D_fake 0.049915
[42/5000][135/535][3972] Loss_D: -0.062449 Loss_G: 0.035983 Loss_D_real: -0.039679 Loss_D_fake 0.022770
[42/5000][140/535][3973] Loss_D: -0.060067 Loss_G: 0.026658 Loss_D_real: -0.029752 Loss_D_fake 0.030315
[42/5000][145/535][3974] Loss_D: -0.062717 Loss_G: 0.023138 Loss_D_real: -0.031019 Loss_D_fake 0.031698
[42/5000][150/535][3975] Loss_D: -0.060491 Loss_G: 0.030658 Loss_D_real: -0.037230 Loss_D_fake 0.023262
[42/5000][155/535][3976] Loss_D: -0.061104 Loss_G: 0.020771 Loss_D_real: -0.032387 Loss_D_fake 0.028716
[42/5000][160/535][3977] Loss_D: -0.063396 Loss_G: 0.018633 Loss_D_real: -0.028412 Loss_D_fake 0.034984
[42/5000][165/535][3978] Loss_D: -0.059489 Loss_G: 0.054746 Loss_D_real: -0.051948 Loss_D_fake 0.007540
[42/5000][170/535][3979] Loss_D: -0.057743 Loss_G: 0.001637 Loss_D_real: -0.009383 Loss_D_fake 0.048360
[42/5000][175/535][3980] Loss_D: -0.060890 Loss_G: 0.036966 Loss_D_real: -0.046791 Loss_D_fake 0.014098
[42/5000][180/535][3981] Loss_D: -0.059035 Loss_G: 0.039753 Loss_D_real: -0.044192 Loss_D_fake 0.014843
[42/5000][185/535][3982] Loss_D: -0.064023 Loss_G: 0.016057 Loss_D_real: -0.029317 Loss_D_fake 0.034706
[42/5000][190/535][3983] Loss_D: -0.061187 Loss_G: 0.056524 Loss_D_real: -0.057284 Loss_D_fake 0.003903
[42/5000][195/535][3984] Loss_D: -0.062304 Loss_G: 0.003971 Loss_D_real: -0.019737 Loss_D_fake 0.042567
[42/5000][200/535][3985] Loss_D: -0.060399 Loss_G: 0.052826 Loss_D_real: -0.055644 Loss_D_fake 0.004755
[42/5000][205/535][3986] Loss_D: -0.056563 Loss_G: 0.008733 Loss_D_real: -0.011320 Loss_D_fake 0.045243
[42/5000][210/535][3987] Loss_D: -0.061193 Loss_G: 0.034107 Loss_D_real: -0.037702 Loss_D_fake 0.023491
[42/5000][215/535][3988] Loss_D: -0.062333 Loss_G: 0.042499 Loss_D_real: -0.045293 Loss_D_fake 0.017040
[42/5000][220/535][3989] Loss_D: -0.061796 Loss_G: 0.013929 Loss_D_real: -0.022202 Loss_D_fake 0.039594
[42/5000][225/535][3990] Loss_D: -0.064435 Loss_G: 0.043533 Loss_D_real: -0.047995 Loss_D_fake 0.016441
[42/5000][230/535][3991] Loss_D: -0.064601 Loss_G: 0.037866 Loss_D_real: -0.037456 Loss_D_fake 0.027144
[42/5000][235/535][3992] Loss_D: -0.064137 Loss_G: 0.031294 Loss_D_real: -0.034894 Loss_D_fake 0.029242
[42/5000][240/535][3993] Loss_D: -0.061466 Loss_G: 0.010960 Loss_D_real: -0.022865 Loss_D_fake 0.038600
[42/5000][245/535][3994] Loss_D: -0.063324 Loss_G: 0.051486 Loss_D_real: -0.050794 Loss_D_fake 0.012530
[42/5000][250/535][3995] Loss_D: -0.059221 Loss_G: 0.000202 Loss_D_real: -0.014031 Loss_D_fake 0.045190
[42/5000][255/535][3996] Loss_D: -0.057160 Loss_G: 0.052818 Loss_D_real: -0.055437 Loss_D_fake 0.001722
[42/5000][260/535][3997] Loss_D: -0.060797 Loss_G: 0.018422 Loss_D_real: -0.022952 Loss_D_fake 0.037845
[42/5000][265/535][3998] Loss_D: -0.063217 Loss_G: 0.049756 Loss_D_real: -0.049080 Loss_D_fake 0.014137
[42/5000][270/535][3999] Loss_D: -0.062304 Loss_G: 0.005349 Loss_D_real: -0.017769 Loss_D_fake 0.044535
[42/5000][275/535][4000] Loss_D: -0.061071 Loss_G: 0.047713 Loss_D_real: -0.052184 Loss_D_fake 0.008887
[42/5000][375/535][4001] Loss_D: -0.065842 Loss_G: 0.036679 Loss_D_real: -0.036686 Loss_D_fake 0.029156
[42/5000][380/535][4002] Loss_D: -0.062693 Loss_G: 0.003051 Loss_D_real: -0.018985 Loss_D_fake 0.043709
[42/5000][385/535][4003] Loss_D: -0.060529 Loss_G: 0.031481 Loss_D_real: -0.041305 Loss_D_fake 0.019224
[42/5000][390/535][4004] Loss_D: -0.060676 Loss_G: 0.023035 Loss_D_real: -0.029707 Loss_D_fake 0.030969
[42/5000][395/535][4005] Loss_D: -0.058569 Loss_G: 0.036661 Loss_D_real: -0.038833 Loss_D_fake 0.019736
[42/5000][400/535][4006] Loss_D: -0.059192 Loss_G: 0.018433 Loss_D_real: -0.027715 Loss_D_fake 0.031477
[42/5000][405/535][4007] Loss_D: -0.059539 Loss_G: 0.031472 Loss_D_real: -0.034704 Loss_D_fake 0.024835
[42/5000][410/535][4008] Loss_D: -0.060166 Loss_G: 0.026293 Loss_D_real: -0.028331 Loss_D_fake 0.031836
[42/5000][415/535][4009] Loss_D: -0.060858 Loss_G: 0.043753 Loss_D_real: -0.044645 Loss_D_fake 0.016213
[42/5000][420/535][4010] Loss_D: -0.062709 Loss_G: 0.031395 Loss_D_real: -0.035330 Loss_D_fake 0.027379
[42/5000][425/535][4011] Loss_D: -0.062318 Loss_G: 0.015871 Loss_D_real: -0.024512 Loss_D_fake 0.037807
[42/5000][430/535][4012] Loss_D: -0.063408 Loss_G: 0.025634 Loss_D_real: -0.029669 Loss_D_fake 0.033740
[42/5000][435/535][4013] Loss_D: -0.060861 Loss_G: 0.032414 Loss_D_real: -0.040032 Loss_D_fake 0.020829
[42/5000][440/535][4014] Loss_D: -0.060790 Loss_G: 0.027664 Loss_D_real: -0.033584 Loss_D_fake 0.027206
[42/5000][445/535][4015] Loss_D: -0.060622 Loss_G: 0.040382 Loss_D_real: -0.041271 Loss_D_fake 0.019351
[42/5000][450/535][4016] Loss_D: -0.061106 Loss_G: 0.004970 Loss_D_real: -0.018677 Loss_D_fake 0.042429
[42/5000][455/535][4017] Loss_D: -0.056828 Loss_G: 0.054745 Loss_D_real: -0.054534 Loss_D_fake 0.002294
[42/5000][460/535][4018] Loss_D: -0.058292 Loss_G: -0.003621 Loss_D_real: -0.010368 Loss_D_fake 0.047924
[42/5000][465/535][4019] Loss_D: -0.061037 Loss_G: 0.046847 Loss_D_real: -0.052044 Loss_D_fake 0.008993
[42/5000][470/535][4020] Loss_D: -0.058696 Loss_G: 0.027154 Loss_D_real: -0.029504 Loss_D_fake 0.029193
[42/5000][475/535][4021] Loss_D: -0.064297 Loss_G: 0.026153 Loss_D_real: -0.033685 Loss_D_fake 0.030611
[42/5000][480/535][4022] Loss_D: -0.060496 Loss_G: 0.048259 Loss_D_real: -0.050222 Loss_D_fake 0.010273
[42/5000][485/535][4023] Loss_D: -0.061028 Loss_G: 0.021406 Loss_D_real: -0.021733 Loss_D_fake 0.039295
[42/5000][490/535][4024] Loss_D: -0.060247 Loss_G: 0.022123 Loss_D_real: -0.029345 Loss_D_fake 0.030901
[42/5000][495/535][4025] Loss_D: -0.061417 Loss_G: 0.045585 Loss_D_real: -0.046279 Loss_D_fake 0.015138
[42/5000][500/535][4026] Loss_D: -0.063014 Loss_G: 0.016823 Loss_D_real: -0.023575 Loss_D_fake 0.039439
[42/5000][505/535][4027] Loss_D: -0.063575 Loss_G: 0.039859 Loss_D_real: -0.044331 Loss_D_fake 0.019244
[42/5000][510/535][4028] Loss_D: -0.061045 Loss_G: 0.026187 Loss_D_real: -0.031749 Loss_D_fake 0.029296
[42/5000][515/535][4029] Loss_D: -0.058051 Loss_G: 0.058023 Loss_D_real: -0.059687 Loss_D_fake -0.001636
[42/5000][520/535][4030] Loss_D: -0.059781 Loss_G: 0.003936 Loss_D_real: -0.013806 Loss_D_fake 0.045974
[42/5000][525/535][4031] Loss_D: -0.059291 Loss_G: 0.045154 Loss_D_real: -0.046400 Loss_D_fake 0.012891
[42/5000][530/535][4032] Loss_D: -0.062793 Loss_G: 0.018634 Loss_D_real: -0.028317 Loss_D_fake 0.034476
[42/5000][535/535][4033] Loss_D: -0.065501 Loss_G: 0.044686 Loss_D_real: -0.040725 Loss_D_fake 0.024776
[43/5000][5/535][4034] Loss_D: -0.062142 Loss_G: 0.011385 Loss_D_real: -0.021078 Loss_D_fake 0.041064
[43/5000][10/535][4035] Loss_D: -0.060885 Loss_G: 0.029714 Loss_D_real: -0.038007 Loss_D_fake 0.022878
[43/5000][15/535][4036] Loss_D: -0.062127 Loss_G: 0.021946 Loss_D_real: -0.027545 Loss_D_fake 0.034581
[43/5000][20/535][4037] Loss_D: -0.062105 Loss_G: 0.050850 Loss_D_real: -0.049973 Loss_D_fake 0.012132
[43/5000][25/535][4038] Loss_D: -0.061799 Loss_G: -0.003031 Loss_D_real: -0.014739 Loss_D_fake 0.047060
[43/5000][30/535][4039] Loss_D: -0.058527 Loss_G: 0.051279 Loss_D_real: -0.052139 Loss_D_fake 0.006388
[43/5000][35/535][4040] Loss_D: -0.061625 Loss_G: 0.007476 Loss_D_real: -0.021957 Loss_D_fake 0.039667
[43/5000][40/535][4041] Loss_D: -0.060120 Loss_G: 0.038554 Loss_D_real: -0.041842 Loss_D_fake 0.018277
[43/5000][45/535][4042] Loss_D: -0.059225 Loss_G: 0.028936 Loss_D_real: -0.029109 Loss_D_fake 0.030116
[43/5000][50/535][4043] Loss_D: -0.060486 Loss_G: 0.042265 Loss_D_real: -0.041735 Loss_D_fake 0.018751
[43/5000][55/535][4044] Loss_D: -0.060546 Loss_G: 0.016944 Loss_D_real: -0.024100 Loss_D_fake 0.036445
[43/5000][60/535][4045] Loss_D: -0.061174 Loss_G: 0.040036 Loss_D_real: -0.039035 Loss_D_fake 0.022139
[43/5000][65/535][4046] Loss_D: -0.062443 Loss_G: 0.005858 Loss_D_real: -0.022437 Loss_D_fake 0.040006
[43/5000][70/535][4047] Loss_D: -0.060799 Loss_G: 0.045925 Loss_D_real: -0.051016 Loss_D_fake 0.009783
[43/5000][75/535][4048] Loss_D: -0.060865 Loss_G: -0.000615 Loss_D_real: -0.009801 Loss_D_fake 0.051064
[43/5000][80/535][4049] Loss_D: -0.059565 Loss_G: 0.053655 Loss_D_real: -0.058062 Loss_D_fake 0.001503
[43/5000][85/535][4050] Loss_D: -0.061923 Loss_G: 0.024467 Loss_D_real: -0.025348 Loss_D_fake 0.036575
[43/5000][90/535][4051] Loss_D: -0.061175 Loss_G: 0.049925 Loss_D_real: -0.051777 Loss_D_fake 0.009399
[43/5000][95/535][4052] Loss_D: -0.060412 Loss_G: 0.006660 Loss_D_real: -0.016940 Loss_D_fake 0.043472
[43/5000][100/535][4053] Loss_D: -0.060278 Loss_G: 0.051162 Loss_D_real: -0.053056 Loss_D_fake 0.007222
[43/5000][105/535][4054] Loss_D: -0.061817 Loss_G: 0.005070 Loss_D_real: -0.016037 Loss_D_fake 0.045780
[43/5000][110/535][4055] Loss_D: -0.060839 Loss_G: 0.038959 Loss_D_real: -0.040823 Loss_D_fake 0.020017
[43/5000][115/535][4056] Loss_D: -0.061207 Loss_G: 0.025064 Loss_D_real: -0.033173 Loss_D_fake 0.028034
[43/5000][120/535][4057] Loss_D: -0.061264 Loss_G: 0.021059 Loss_D_real: -0.030463 Loss_D_fake 0.030802
[43/5000][125/535][4058] Loss_D: -0.060107 Loss_G: 0.038482 Loss_D_real: -0.039905 Loss_D_fake 0.020202
[43/5000][130/535][4059] Loss_D: -0.063610 Loss_G: 0.030186 Loss_D_real: -0.032033 Loss_D_fake 0.031577
[43/5000][135/535][4060] Loss_D: -0.061709 Loss_G: 0.015594 Loss_D_real: -0.025083 Loss_D_fake 0.036626
[43/5000][140/535][4061] Loss_D: -0.058004 Loss_G: 0.055580 Loss_D_real: -0.057670 Loss_D_fake 0.000334
[43/5000][145/535][4062] Loss_D: -0.060976 Loss_G: 0.006225 Loss_D_real: -0.017850 Loss_D_fake 0.043125
[43/5000][150/535][4063] Loss_D: -0.061009 Loss_G: 0.040365 Loss_D_real: -0.040105 Loss_D_fake 0.020904
[43/5000][155/535][4064] Loss_D: -0.061399 Loss_G: 0.029296 Loss_D_real: -0.030069 Loss_D_fake 0.031330
[43/5000][160/535][4065] Loss_D: -0.059723 Loss_G: 0.014679 Loss_D_real: -0.020916 Loss_D_fake 0.038808
[43/5000][165/535][4066] Loss_D: -0.057964 Loss_G: 0.054954 Loss_D_real: -0.054637 Loss_D_fake 0.003327
[43/5000][170/535][4067] Loss_D: -0.061296 Loss_G: 0.002947 Loss_D_real: -0.017298 Loss_D_fake 0.043997
[43/5000][175/535][4068] Loss_D: -0.059675 Loss_G: 0.043298 Loss_D_real: -0.045138 Loss_D_fake 0.014537
[43/5000][180/535][4069] Loss_D: -0.061602 Loss_G: 0.023305 Loss_D_real: -0.027720 Loss_D_fake 0.033882
[43/5000][185/535][4070] Loss_D: -0.059655 Loss_G: 0.017862 Loss_D_real: -0.025389 Loss_D_fake 0.034266
[43/5000][190/535][4071] Loss_D: -0.061513 Loss_G: 0.049633 Loss_D_real: -0.047738 Loss_D_fake 0.013775
[43/5000][195/535][4072] Loss_D: -0.061104 Loss_G: 0.012882 Loss_D_real: -0.019157 Loss_D_fake 0.041947
[43/5000][200/535][4073] Loss_D: -0.059634 Loss_G: 0.051672 Loss_D_real: -0.050183 Loss_D_fake 0.009451
[43/5000][205/535][4074] Loss_D: -0.061656 Loss_G: 0.014712 Loss_D_real: -0.023060 Loss_D_fake 0.038596
[43/5000][210/535][4075] Loss_D: -0.063011 Loss_G: 0.043921 Loss_D_real: -0.043080 Loss_D_fake 0.019931
[43/5000][215/535][4076] Loss_D: -0.062967 Loss_G: 0.031822 Loss_D_real: -0.035236 Loss_D_fake 0.027731
[43/5000][220/535][4077] Loss_D: -0.062902 Loss_G: 0.034050 Loss_D_real: -0.039651 Loss_D_fake 0.023251
[43/5000][225/535][4078] Loss_D: -0.063860 Loss_G: 0.048530 Loss_D_real: -0.052052 Loss_D_fake 0.011808
[43/5000][230/535][4079] Loss_D: -0.060609 Loss_G: 0.013479 Loss_D_real: -0.018177 Loss_D_fake 0.042432
[43/5000][235/535][4080] Loss_D: -0.060440 Loss_G: 0.039341 Loss_D_real: -0.044446 Loss_D_fake 0.015993
[43/5000][240/535][4081] Loss_D: -0.060000 Loss_G: 0.020089 Loss_D_real: -0.025464 Loss_D_fake 0.034536
[43/5000][245/535][4082] Loss_D: -0.058584 Loss_G: 0.012310 Loss_D_real: -0.023137 Loss_D_fake 0.035448
[43/5000][250/535][4083] Loss_D: -0.057785 Loss_G: 0.048980 Loss_D_real: -0.051080 Loss_D_fake 0.006705
[43/5000][255/535][4084] Loss_D: -0.057441 Loss_G: -0.004795 Loss_D_real: -0.005189 Loss_D_fake 0.052252
[43/5000][260/535][4085] Loss_D: -0.059275 Loss_G: 0.034027 Loss_D_real: -0.043751 Loss_D_fake 0.015524
[43/5000][265/535][4086] Loss_D: -0.058841 Loss_G: 0.012825 Loss_D_real: -0.019189 Loss_D_fake 0.039652
[43/5000][270/535][4087] Loss_D: -0.060257 Loss_G: 0.046784 Loss_D_real: -0.047052 Loss_D_fake 0.013205
[43/5000][275/535][4088] Loss_D: -0.061446 Loss_G: 0.001735 Loss_D_real: -0.013522 Loss_D_fake 0.047923
[43/5000][280/535][4089] Loss_D: -0.058794 Loss_G: 0.040256 Loss_D_real: -0.045133 Loss_D_fake 0.013661
[43/5000][285/535][4090] Loss_D: -0.062098 Loss_G: 0.018459 Loss_D_real: -0.027314 Loss_D_fake 0.034784
[43/5000][290/535][4091] Loss_D: -0.058981 Loss_G: 0.049521 Loss_D_real: -0.051847 Loss_D_fake 0.007134
[43/5000][295/535][4092] Loss_D: -0.058661 Loss_G: -0.000375 Loss_D_real: -0.009244 Loss_D_fake 0.049417
[43/5000][300/535][4093] Loss_D: -0.058274 Loss_G: 0.038160 Loss_D_real: -0.044635 Loss_D_fake 0.013639
[43/5000][305/535][4094] Loss_D: -0.061883 Loss_G: 0.047228 Loss_D_real: -0.043263 Loss_D_fake 0.018620
[43/5000][310/535][4095] Loss_D: -0.059614 Loss_G: 0.030370 Loss_D_real: -0.030658 Loss_D_fake 0.028956
[43/5000][315/535][4096] Loss_D: -0.061139 Loss_G: 0.058907 Loss_D_real: -0.056377 Loss_D_fake 0.004762
[43/5000][320/535][4097] Loss_D: -0.062305 Loss_G: 0.004610 Loss_D_real: -0.017540 Loss_D_fake 0.044765
[43/5000][325/535][4098] Loss_D: -0.059908 Loss_G: 0.049642 Loss_D_real: -0.051993 Loss_D_fake 0.007915
[43/5000][330/535][4099] Loss_D: -0.062438 Loss_G: 0.023439 Loss_D_real: -0.029914 Loss_D_fake 0.032524
[43/5000][335/535][4100] Loss_D: -0.061250 Loss_G: 0.044573 Loss_D_real: -0.045956 Loss_D_fake 0.015293
[43/5000][340/535][4101] Loss_D: -0.060855 Loss_G: 0.006337 Loss_D_real: -0.017833 Loss_D_fake 0.043022
[43/5000][345/535][4102] Loss_D: -0.061251 Loss_G: 0.046508 Loss_D_real: -0.051829 Loss_D_fake 0.009422
[43/5000][350/535][4103] Loss_D: -0.061389 Loss_G: 0.009216 Loss_D_real: -0.016770 Loss_D_fake 0.044619
[43/5000][355/535][4104] Loss_D: -0.063847 Loss_G: 0.037093 Loss_D_real: -0.042834 Loss_D_fake 0.021012
[43/5000][360/535][4105] Loss_D: -0.064239 Loss_G: 0.033429 Loss_D_real: -0.033582 Loss_D_fake 0.030657
[43/5000][365/535][4106] Loss_D: -0.063979 Loss_G: 0.034137 Loss_D_real: -0.038196 Loss_D_fake 0.025783
[43/5000][370/535][4107] Loss_D: -0.060390 Loss_G: 0.046197 Loss_D_real: -0.042689 Loss_D_fake 0.017701
[43/5000][375/535][4108] Loss_D: -0.062837 Loss_G: 0.038520 Loss_D_real: -0.039509 Loss_D_fake 0.023328
[43/5000][380/535][4109] Loss_D: -0.061184 Loss_G: 0.002525 Loss_D_real: -0.016479 Loss_D_fake 0.044705
[43/5000][385/535][4110] Loss_D: -0.057652 Loss_G: 0.050914 Loss_D_real: -0.051452 Loss_D_fake 0.006200
[43/5000][390/535][4111] Loss_D: -0.057722 Loss_G: 0.002147 Loss_D_real: -0.014561 Loss_D_fake 0.043161
[43/5000][395/535][4112] Loss_D: -0.059789 Loss_G: 0.035930 Loss_D_real: -0.045338 Loss_D_fake 0.014450
[43/5000][400/535][4113] Loss_D: -0.058602 Loss_G: 0.014637 Loss_D_real: -0.026133 Loss_D_fake 0.032468
[43/5000][405/535][4114] Loss_D: -0.059035 Loss_G: 0.036393 Loss_D_real: -0.037550 Loss_D_fake 0.021485
[43/5000][410/535][4115] Loss_D: -0.059215 Loss_G: 0.021738 Loss_D_real: -0.025442 Loss_D_fake 0.033773
[43/5000][415/535][4116] Loss_D: -0.058882 Loss_G: 0.039100 Loss_D_real: -0.044004 Loss_D_fake 0.014878
[43/5000][420/535][4117] Loss_D: -0.056619 Loss_G: 0.005263 Loss_D_real: -0.013753 Loss_D_fake 0.042866
[43/5000][425/535][4118] Loss_D: -0.058400 Loss_G: 0.037118 Loss_D_real: -0.041813 Loss_D_fake 0.016587
[43/5000][430/535][4119] Loss_D: -0.058919 Loss_G: 0.010100 Loss_D_real: -0.019863 Loss_D_fake 0.039056
[43/5000][435/535][4120] Loss_D: -0.057944 Loss_G: 0.057893 Loss_D_real: -0.057664 Loss_D_fake 0.000280
[43/5000][440/535][4121] Loss_D: -0.059750 Loss_G: 0.016212 Loss_D_real: -0.025921 Loss_D_fake 0.033830
[43/5000][445/535][4122] Loss_D: -0.058478 Loss_G: 0.044322 Loss_D_real: -0.046469 Loss_D_fake 0.012009
[43/5000][450/535][4123] Loss_D: -0.061924 Loss_G: 0.044229 Loss_D_real: -0.038793 Loss_D_fake 0.023131
[43/5000][455/535][4124] Loss_D: -0.063460 Loss_G: 0.006530 Loss_D_real: -0.021108 Loss_D_fake 0.042352
[43/5000][460/535][4125] Loss_D: -0.058400 Loss_G: 0.058298 Loss_D_real: -0.060763 Loss_D_fake -0.002363
[43/5000][465/535][4126] Loss_D: -0.060183 Loss_G: 0.006513 Loss_D_real: -0.015339 Loss_D_fake 0.044843
[43/5000][470/535][4127] Loss_D: -0.058959 Loss_G: 0.035943 Loss_D_real: -0.038782 Loss_D_fake 0.020177
[43/5000][475/535][4128] Loss_D: -0.060356 Loss_G: 0.016190 Loss_D_real: -0.021315 Loss_D_fake 0.039040
[43/5000][480/535][4129] Loss_D: -0.060019 Loss_G: 0.045196 Loss_D_real: -0.048777 Loss_D_fake 0.011242
[43/5000][485/535][4130] Loss_D: -0.063621 Loss_G: 0.023310 Loss_D_real: -0.030538 Loss_D_fake 0.033083
[43/5000][490/535][4131] Loss_D: -0.063063 Loss_G: 0.046910 Loss_D_real: -0.042359 Loss_D_fake 0.020704
[43/5000][495/535][4132] Loss_D: -0.062588 Loss_G: 0.024001 Loss_D_real: -0.027022 Loss_D_fake 0.035565
[43/5000][500/535][4133] Loss_D: -0.062448 Loss_G: 0.028380 Loss_D_real: -0.033700 Loss_D_fake 0.028748
[43/5000][505/535][4134] Loss_D: -0.060233 Loss_G: 0.065393 Loss_D_real: -0.059922 Loss_D_fake 0.000311
[43/5000][510/535][4135] Loss_D: -0.058477 Loss_G: -0.005003 Loss_D_real: -0.011678 Loss_D_fake 0.046799
[43/5000][515/535][4136] Loss_D: -0.057749 Loss_G: 0.035727 Loss_D_real: -0.037387 Loss_D_fake 0.020362
[43/5000][520/535][4137] Loss_D: -0.060623 Loss_G: 0.022035 Loss_D_real: -0.028307 Loss_D_fake 0.032316
[43/5000][525/535][4138] Loss_D: -0.056783 Loss_G: 0.035932 Loss_D_real: -0.036842 Loss_D_fake 0.019942
[43/5000][530/535][4139] Loss_D: -0.057724 Loss_G: 0.030090 Loss_D_real: -0.033743 Loss_D_fake 0.023981
[43/5000][535/535][4140] Loss_D: -0.059233 Loss_G: 0.030253 Loss_D_real: -0.039439 Loss_D_fake 0.019794
[44/5000][5/535][4141] Loss_D: -0.059764 Loss_G: 0.017837 Loss_D_real: -0.029384 Loss_D_fake 0.030380
[44/5000][10/535][4142] Loss_D: -0.060383 Loss_G: 0.052363 Loss_D_real: -0.045950 Loss_D_fake 0.014433
[44/5000][15/535][4143] Loss_D: -0.059024 Loss_G: 0.020261 Loss_D_real: -0.022047 Loss_D_fake 0.036977
[44/5000][20/535][4144] Loss_D: -0.060176 Loss_G: 0.036275 Loss_D_real: -0.042530 Loss_D_fake 0.017646
[44/5000][25/535][4145] Loss_D: -0.063442 Loss_G: 0.029373 Loss_D_real: -0.036965 Loss_D_fake 0.026477
[44/5000][30/535][4146] Loss_D: -0.061769 Loss_G: 0.045108 Loss_D_real: -0.040795 Loss_D_fake 0.020974
[44/5000][35/535][4147] Loss_D: -0.061790 Loss_G: 0.031450 Loss_D_real: -0.031023 Loss_D_fake 0.030767
[44/5000][40/535][4148] Loss_D: -0.064091 Loss_G: 0.038377 Loss_D_real: -0.040381 Loss_D_fake 0.023710
[44/5000][45/535][4149] Loss_D: -0.061132 Loss_G: -0.002555 Loss_D_real: -0.013833 Loss_D_fake 0.047299
[44/5000][50/535][4150] Loss_D: -0.056469 Loss_G: 0.054754 Loss_D_real: -0.055058 Loss_D_fake 0.001411
[44/5000][55/535][4151] Loss_D: -0.059198 Loss_G: 0.005531 Loss_D_real: -0.016615 Loss_D_fake 0.042583
[44/5000][60/535][4152] Loss_D: -0.059508 Loss_G: 0.052661 Loss_D_real: -0.050345 Loss_D_fake 0.009163
[44/5000][65/535][4153] Loss_D: -0.062486 Loss_G: 0.011351 Loss_D_real: -0.023605 Loss_D_fake 0.038881
[44/5000][70/535][4154] Loss_D: -0.059054 Loss_G: 0.032941 Loss_D_real: -0.038574 Loss_D_fake 0.020481
[44/5000][75/535][4155] Loss_D: -0.060433 Loss_G: 0.031999 Loss_D_real: -0.034259 Loss_D_fake 0.026175
[44/5000][80/535][4156] Loss_D: -0.057720 Loss_G: 0.004456 Loss_D_real: -0.009985 Loss_D_fake 0.047736
[44/5000][85/535][4157] Loss_D: -0.058433 Loss_G: 0.047985 Loss_D_real: -0.047199 Loss_D_fake 0.011234
[44/5000][90/535][4158] Loss_D: -0.060099 Loss_G: 0.007897 Loss_D_real: -0.018222 Loss_D_fake 0.041878
[44/5000][95/535][4159] Loss_D: -0.061392 Loss_G: 0.037320 Loss_D_real: -0.042131 Loss_D_fake 0.019261
[44/5000][100/535][4160] Loss_D: -0.056878 Loss_G: 0.039779 Loss_D_real: -0.040460 Loss_D_fake 0.016418
[44/5000][105/535][4161] Loss_D: -0.062465 Loss_G: 0.036022 Loss_D_real: -0.036840 Loss_D_fake 0.025625
[44/5000][110/535][4162] Loss_D: -0.063663 Loss_G: 0.036379 Loss_D_real: -0.038204 Loss_D_fake 0.025459
[44/5000][115/535][4163] Loss_D: -0.063869 Loss_G: 0.020643 Loss_D_real: -0.028268 Loss_D_fake 0.035601
[44/5000][120/535][4164] Loss_D: -0.059326 Loss_G: 0.054765 Loss_D_real: -0.054812 Loss_D_fake 0.004514
[44/5000][125/535][4165] Loss_D: -0.059593 Loss_G: 0.010359 Loss_D_real: -0.019875 Loss_D_fake 0.039718
[44/5000][130/535][4166] Loss_D: -0.058161 Loss_G: 0.051083 Loss_D_real: -0.054430 Loss_D_fake 0.003730
[44/5000][135/535][4167] Loss_D: -0.059026 Loss_G: 0.014546 Loss_D_real: -0.019569 Loss_D_fake 0.039457
[44/5000][140/535][4168] Loss_D: -0.061810 Loss_G: 0.044641 Loss_D_real: -0.049474 Loss_D_fake 0.012337
[44/5000][145/535][4169] Loss_D: -0.060118 Loss_G: 0.012832 Loss_D_real: -0.024008 Loss_D_fake 0.036110
[44/5000][150/535][4170] Loss_D: -0.059695 Loss_G: 0.042121 Loss_D_real: -0.042828 Loss_D_fake 0.016867
[44/5000][155/535][4171] Loss_D: -0.058025 Loss_G: 0.039308 Loss_D_real: -0.037867 Loss_D_fake 0.020157
[44/5000][160/535][4172] Loss_D: -0.061918 Loss_G: 0.025480 Loss_D_real: -0.034448 Loss_D_fake 0.027470
[44/5000][165/535][4173] Loss_D: -0.064232 Loss_G: 0.023625 Loss_D_real: -0.030911 Loss_D_fake 0.033321
[44/5000][170/535][4174] Loss_D: -0.058899 Loss_G: 0.061948 Loss_D_real: -0.057952 Loss_D_fake 0.000947
[44/5000][175/535][4175] Loss_D: -0.058852 Loss_G: 0.006244 Loss_D_real: -0.012820 Loss_D_fake 0.046032
[44/5000][180/535][4176] Loss_D: -0.059246 Loss_G: 0.042622 Loss_D_real: -0.048068 Loss_D_fake 0.011178
[44/5000][185/535][4177] Loss_D: -0.061345 Loss_G: 0.021387 Loss_D_real: -0.027173 Loss_D_fake 0.034172
[44/5000][190/535][4178] Loss_D: -0.060921 Loss_G: 0.047478 Loss_D_real: -0.050108 Loss_D_fake 0.010812
[44/5000][195/535][4179] Loss_D: -0.064832 Loss_G: 0.030550 Loss_D_real: -0.035040 Loss_D_fake 0.029792
[44/5000][200/535][4180] Loss_D: -0.063016 Loss_G: 0.050536 Loss_D_real: -0.047483 Loss_D_fake 0.015533
[44/5000][205/535][4181] Loss_D: -0.061890 Loss_G: 0.001913 Loss_D_real: -0.024386 Loss_D_fake 0.037504
[44/5000][210/535][4182] Loss_D: -0.058766 Loss_G: 0.043304 Loss_D_real: -0.048946 Loss_D_fake 0.009820
[44/5000][215/535][4183] Loss_D: -0.057451 Loss_G: 0.013240 Loss_D_real: -0.016056 Loss_D_fake 0.041395
[44/5000][220/535][4184] Loss_D: -0.060761 Loss_G: 0.034092 Loss_D_real: -0.038980 Loss_D_fake 0.021781
[44/5000][225/535][4185] Loss_D: -0.060590 Loss_G: 0.021391 Loss_D_real: -0.024495 Loss_D_fake 0.036095
[44/5000][230/535][4186] Loss_D: -0.062495 Loss_G: 0.026595 Loss_D_real: -0.032885 Loss_D_fake 0.029610
[44/5000][235/535][4187] Loss_D: -0.056863 Loss_G: 0.045026 Loss_D_real: -0.042252 Loss_D_fake 0.014611
[44/5000][240/535][4188] Loss_D: -0.062240 Loss_G: 0.000282 Loss_D_real: -0.018603 Loss_D_fake 0.043637
[44/5000][245/535][4189] Loss_D: -0.058287 Loss_G: 0.057405 Loss_D_real: -0.055252 Loss_D_fake 0.003035
[44/5000][250/535][4190] Loss_D: -0.057247 Loss_G: 0.007965 Loss_D_real: -0.017612 Loss_D_fake 0.039635
[44/5000][255/535][4191] Loss_D: -0.059114 Loss_G: 0.044382 Loss_D_real: -0.042700 Loss_D_fake 0.016414
[44/5000][260/535][4192] Loss_D: -0.061048 Loss_G: 0.017317 Loss_D_real: -0.025970 Loss_D_fake 0.035079
[44/5000][265/535][4193] Loss_D: -0.060704 Loss_G: 0.035971 Loss_D_real: -0.038887 Loss_D_fake 0.021817
[44/5000][270/535][4194] Loss_D: -0.059402 Loss_G: 0.032944 Loss_D_real: -0.033041 Loss_D_fake 0.026361
[44/5000][275/535][4195] Loss_D: -0.061556 Loss_G: 0.031129 Loss_D_real: -0.034775 Loss_D_fake 0.026781
[44/5000][280/535][4196] Loss_D: -0.061714 Loss_G: 0.047689 Loss_D_real: -0.045308 Loss_D_fake 0.016406
[44/5000][285/535][4197] Loss_D: -0.061121 Loss_G: 0.040765 Loss_D_real: -0.039831 Loss_D_fake 0.021291
[44/5000][290/535][4198] Loss_D: -0.060467 Loss_G: 0.011342 Loss_D_real: -0.022718 Loss_D_fake 0.037749
[44/5000][295/535][4199] Loss_D: -0.059118 Loss_G: 0.030354 Loss_D_real: -0.036905 Loss_D_fake 0.022213
[44/5000][300/535][4200] Loss_D: -0.059798 Loss_G: 0.003554 Loss_D_real: -0.021037 Loss_D_fake 0.038761
[44/5000][305/535][4201] Loss_D: -0.058909 Loss_G: 0.041460 Loss_D_real: -0.047739 Loss_D_fake 0.011170
[44/5000][310/535][4202] Loss_D: -0.057758 Loss_G: 0.000993 Loss_D_real: -0.014208 Loss_D_fake 0.043550
[44/5000][315/535][4203] Loss_D: -0.059388 Loss_G: 0.049405 Loss_D_real: -0.051028 Loss_D_fake 0.008361
[44/5000][320/535][4204] Loss_D: -0.058783 Loss_G: 0.003902 Loss_D_real: -0.012586 Loss_D_fake 0.046197
[44/5000][325/535][4205] Loss_D: -0.059824 Loss_G: 0.036983 Loss_D_real: -0.048223 Loss_D_fake 0.011601
[44/5000][330/535][4206] Loss_D: -0.057907 Loss_G: 0.024743 Loss_D_real: -0.031141 Loss_D_fake 0.026766
[44/5000][335/535][4207] Loss_D: -0.061870 Loss_G: 0.027015 Loss_D_real: -0.032994 Loss_D_fake 0.028876
[44/5000][340/535][4208] Loss_D: -0.061620 Loss_G: 0.038619 Loss_D_real: -0.037805 Loss_D_fake 0.023815
[44/5000][345/535][4209] Loss_D: -0.061855 Loss_G: 0.016136 Loss_D_real: -0.025643 Loss_D_fake 0.036211
[44/5000][350/535][4210] Loss_D: -0.062528 Loss_G: 0.036195 Loss_D_real: -0.037725 Loss_D_fake 0.024803
[44/5000][355/535][4211] Loss_D: -0.061886 Loss_G: 0.043416 Loss_D_real: -0.036762 Loss_D_fake 0.025124
[44/5000][360/535][4212] Loss_D: -0.057027 Loss_G: 0.008034 Loss_D_real: -0.014599 Loss_D_fake 0.042428
[44/5000][365/535][4213] Loss_D: -0.057896 Loss_G: 0.038545 Loss_D_real: -0.047271 Loss_D_fake 0.010625
[44/5000][370/535][4214] Loss_D: -0.057882 Loss_G: 0.034748 Loss_D_real: -0.032239 Loss_D_fake 0.025643
[44/5000][375/535][4215] Loss_D: -0.062829 Loss_G: 0.017079 Loss_D_real: -0.029091 Loss_D_fake 0.033737
[44/5000][380/535][4216] Loss_D: -0.061340 Loss_G: 0.037788 Loss_D_real: -0.043528 Loss_D_fake 0.017811
[44/5000][385/535][4217] Loss_D: -0.061370 Loss_G: -0.005387 Loss_D_real: -0.014967 Loss_D_fake 0.046403
[44/5000][390/535][4218] Loss_D: -0.057359 Loss_G: 0.056815 Loss_D_real: -0.057223 Loss_D_fake 0.000136
[44/5000][395/535][4219] Loss_D: -0.059638 Loss_G: 0.003636 Loss_D_real: -0.019172 Loss_D_fake 0.040466
[44/5000][400/535][4220] Loss_D: -0.057085 Loss_G: 0.050459 Loss_D_real: -0.051355 Loss_D_fake 0.005730
[44/5000][405/535][4221] Loss_D: -0.057779 Loss_G: 0.003743 Loss_D_real: -0.010146 Loss_D_fake 0.047633
[44/5000][410/535][4222] Loss_D: -0.057634 Loss_G: 0.043059 Loss_D_real: -0.044345 Loss_D_fake 0.013289
[44/5000][415/535][4223] Loss_D: -0.058054 Loss_G: 0.008164 Loss_D_real: -0.013876 Loss_D_fake 0.044178
[44/5000][420/535][4224] Loss_D: -0.059542 Loss_G: 0.033388 Loss_D_real: -0.036371 Loss_D_fake 0.023170
[44/5000][425/535][4225] Loss_D: -0.058010 Loss_G: 0.011376 Loss_D_real: -0.019940 Loss_D_fake 0.038070
[44/5000][430/535][4226] Loss_D: -0.059537 Loss_G: 0.036651 Loss_D_real: -0.041136 Loss_D_fake 0.018401
[44/5000][435/535][4227] Loss_D: -0.058835 Loss_G: 0.029054 Loss_D_real: -0.031045 Loss_D_fake 0.027790
[44/5000][440/535][4228] Loss_D: -0.059533 Loss_G: 0.014658 Loss_D_real: -0.023084 Loss_D_fake 0.036450
[44/5000][445/535][4229] Loss_D: -0.060742 Loss_G: 0.024830 Loss_D_real: -0.033358 Loss_D_fake 0.027384
[44/5000][450/535][4230] Loss_D: -0.060847 Loss_G: 0.052797 Loss_D_real: -0.044609 Loss_D_fake 0.016238
[44/5000][455/535][4231] Loss_D: -0.060219 Loss_G: 0.003984 Loss_D_real: -0.017637 Loss_D_fake 0.042583
[44/5000][460/535][4232] Loss_D: -0.056572 Loss_G: 0.051975 Loss_D_real: -0.054504 Loss_D_fake 0.002069
[44/5000][465/535][4233] Loss_D: -0.060476 Loss_G: 0.011708 Loss_D_real: -0.018670 Loss_D_fake 0.041806
[44/5000][470/535][4234] Loss_D: -0.060552 Loss_G: 0.040711 Loss_D_real: -0.046237 Loss_D_fake 0.014315
[44/5000][475/535][4235] Loss_D: -0.062610 Loss_G: 0.022569 Loss_D_real: -0.027966 Loss_D_fake 0.034644
[44/5000][480/535][4236] Loss_D: -0.061920 Loss_G: 0.028659 Loss_D_real: -0.036297 Loss_D_fake 0.025623
[44/5000][485/535][4237] Loss_D: -0.060421 Loss_G: 0.050742 Loss_D_real: -0.051636 Loss_D_fake 0.008786
[44/5000][490/535][4238] Loss_D: -0.063342 Loss_G: 0.014784 Loss_D_real: -0.027809 Loss_D_fake 0.035533
[44/5000][495/535][4239] Loss_D: -0.060330 Loss_G: 0.049780 Loss_D_real: -0.048907 Loss_D_fake 0.011423
[44/5000][500/535][4240] Loss_D: -0.058968 Loss_G: 0.012501 Loss_D_real: -0.021991 Loss_D_fake 0.036976
[44/5000][505/535][4241] Loss_D: -0.059191 Loss_G: 0.053117 Loss_D_real: -0.055259 Loss_D_fake 0.003932
[44/5000][510/535][4242] Loss_D: -0.061608 Loss_G: 0.004412 Loss_D_real: -0.014507 Loss_D_fake 0.047100
[44/5000][515/535][4243] Loss_D: -0.062393 Loss_G: 0.036094 Loss_D_real: -0.044003 Loss_D_fake 0.018389
[44/5000][520/535][4244] Loss_D: -0.060598 Loss_G: 0.038514 Loss_D_real: -0.039863 Loss_D_fake 0.020735
[44/5000][525/535][4245] Loss_D: -0.062109 Loss_G: 0.001617 Loss_D_real: -0.017949 Loss_D_fake 0.044160
[44/5000][530/535][4246] Loss_D: -0.057556 Loss_G: 0.058916 Loss_D_real: -0.053143 Loss_D_fake 0.004413
[44/5000][535/535][4247] Loss_D: -0.059137 Loss_G: -0.003494 Loss_D_real: -0.016633 Loss_D_fake 0.042504
[45/5000][5/535][4248] Loss_D: -0.059381 Loss_G: 0.043026 Loss_D_real: -0.044612 Loss_D_fake 0.014769
[45/5000][10/535][4249] Loss_D: -0.061235 Loss_G: 0.020141 Loss_D_real: -0.026321 Loss_D_fake 0.034914
[45/5000][15/535][4250] Loss_D: -0.060542 Loss_G: 0.025715 Loss_D_real: -0.031569 Loss_D_fake 0.028974
[45/5000][20/535][4251] Loss_D: -0.059751 Loss_G: 0.043176 Loss_D_real: -0.043778 Loss_D_fake 0.015973
[45/5000][25/535][4252] Loss_D: -0.062857 Loss_G: 0.028695 Loss_D_real: -0.032140 Loss_D_fake 0.030717
[45/5000][30/535][4253] Loss_D: -0.060267 Loss_G: 0.012240 Loss_D_real: -0.025320 Loss_D_fake 0.034947
[45/5000][35/535][4254] Loss_D: -0.059263 Loss_G: 0.055481 Loss_D_real: -0.056564 Loss_D_fake 0.002698
[45/5000][40/535][4255] Loss_D: -0.060029 Loss_G: 0.006479 Loss_D_real: -0.015394 Loss_D_fake 0.044635
[45/5000][45/535][4256] Loss_D: -0.058415 Loss_G: 0.048907 Loss_D_real: -0.046540 Loss_D_fake 0.011875
[45/5000][50/535][4257] Loss_D: -0.058041 Loss_G: 0.003356 Loss_D_real: -0.013835 Loss_D_fake 0.044206
[45/5000][55/535][4258] Loss_D: -0.059031 Loss_G: 0.032315 Loss_D_real: -0.038685 Loss_D_fake 0.020346
[45/5000][60/535][4259] Loss_D: -0.060473 Loss_G: 0.028823 Loss_D_real: -0.037304 Loss_D_fake 0.023169
[45/5000][65/535][4260] Loss_D: -0.058858 Loss_G: 0.049015 Loss_D_real: -0.048870 Loss_D_fake 0.009987
[45/5000][70/535][4261] Loss_D: -0.060160 Loss_G: 0.022273 Loss_D_real: -0.024768 Loss_D_fake 0.035392
[45/5000][75/535][4262] Loss_D: -0.060929 Loss_G: 0.038626 Loss_D_real: -0.038212 Loss_D_fake 0.022717
[45/5000][80/535][4263] Loss_D: -0.061383 Loss_G: 0.018707 Loss_D_real: -0.023102 Loss_D_fake 0.038281
[45/5000][85/535][4264] Loss_D: -0.059646 Loss_G: 0.049450 Loss_D_real: -0.047413 Loss_D_fake 0.012233
[45/5000][90/535][4265] Loss_D: -0.062087 Loss_G: 0.019991 Loss_D_real: -0.023732 Loss_D_fake 0.038355
[45/5000][95/535][4266] Loss_D: -0.061715 Loss_G: 0.041494 Loss_D_real: -0.045365 Loss_D_fake 0.016350
[45/5000][100/535][4267] Loss_D: -0.059331 Loss_G: -0.003637 Loss_D_real: -0.005720 Loss_D_fake 0.053611
[45/5000][105/535][4268] Loss_D: -0.056532 Loss_G: 0.050380 Loss_D_real: -0.049451 Loss_D_fake 0.007081
[45/5000][110/535][4269] Loss_D: -0.059943 Loss_G: 0.004409 Loss_D_real: -0.017687 Loss_D_fake 0.042256
[45/5000][115/535][4270] Loss_D: -0.058893 Loss_G: 0.043436 Loss_D_real: -0.041287 Loss_D_fake 0.017606
[45/5000][120/535][4271] Loss_D: -0.059113 Loss_G: 0.016232 Loss_D_real: -0.025874 Loss_D_fake 0.033239
[45/5000][125/535][4272] Loss_D: -0.062492 Loss_G: 0.032699 Loss_D_real: -0.032303 Loss_D_fake 0.030189
[45/5000][130/535][4273] Loss_D: -0.061486 Loss_G: 0.021171 Loss_D_real: -0.022843 Loss_D_fake 0.038643
[45/5000][135/535][4274] Loss_D: -0.060645 Loss_G: 0.057214 Loss_D_real: -0.057688 Loss_D_fake 0.002957
[45/5000][140/535][4275] Loss_D: -0.057842 Loss_G: -0.007619 Loss_D_real: -0.008570 Loss_D_fake 0.049272
[45/5000][145/535][4276] Loss_D: -0.058623 Loss_G: 0.046633 Loss_D_real: -0.051969 Loss_D_fake 0.006654
[45/5000][150/535][4277] Loss_D: -0.057328 Loss_G: 0.024998 Loss_D_real: -0.022924 Loss_D_fake 0.034404
[45/5000][155/535][4278] Loss_D: -0.060720 Loss_G: 0.021908 Loss_D_real: -0.037594 Loss_D_fake 0.023126
[45/5000][160/535][4279] Loss_D: -0.060217 Loss_G: 0.051197 Loss_D_real: -0.051772 Loss_D_fake 0.008445
[45/5000][165/535][4280] Loss_D: -0.060275 Loss_G: 0.012634 Loss_D_real: -0.018456 Loss_D_fake 0.041819
[45/5000][170/535][4281] Loss_D: -0.061671 Loss_G: 0.036783 Loss_D_real: -0.042870 Loss_D_fake 0.018801
[45/5000][175/535][4282] Loss_D: -0.060469 Loss_G: 0.035647 Loss_D_real: -0.037081 Loss_D_fake 0.023388
[45/5000][180/535][4283] Loss_D: -0.062661 Loss_G: 0.027411 Loss_D_real: -0.032545 Loss_D_fake 0.030116
[45/5000][185/535][4284] Loss_D: -0.058586 Loss_G: 0.056457 Loss_D_real: -0.057732 Loss_D_fake 0.000855
[45/5000][190/535][4285] Loss_D: -0.060155 Loss_G: 0.009375 Loss_D_real: -0.017052 Loss_D_fake 0.043103
[45/5000][195/535][4286] Loss_D: -0.057574 Loss_G: 0.040685 Loss_D_real: -0.043719 Loss_D_fake 0.013855
[45/5000][200/535][4287] Loss_D: -0.057843 Loss_G: 0.018787 Loss_D_real: -0.020775 Loss_D_fake 0.037068
[45/5000][205/535][4288] Loss_D: -0.057992 Loss_G: 0.039908 Loss_D_real: -0.042798 Loss_D_fake 0.015194
[45/5000][210/535][4289] Loss_D: -0.059304 Loss_G: 0.032300 Loss_D_real: -0.031334 Loss_D_fake 0.027969
[45/5000][215/535][4290] Loss_D: -0.060240 Loss_G: 0.020370 Loss_D_real: -0.032478 Loss_D_fake 0.027762
[45/5000][220/535][4291] Loss_D: -0.060621 Loss_G: 0.043753 Loss_D_real: -0.046312 Loss_D_fake 0.014309
[45/5000][225/535][4292] Loss_D: -0.059965 Loss_G: 0.027468 Loss_D_real: -0.028147 Loss_D_fake 0.031818
[45/5000][230/535][4293] Loss_D: -0.061909 Loss_G: 0.040732 Loss_D_real: -0.035794 Loss_D_fake 0.026115
[45/5000][235/535][4294] Loss_D: -0.057378 Loss_G: -0.007730 Loss_D_real: -0.010030 Loss_D_fake 0.047348
[45/5000][240/535][4295] Loss_D: -0.056350 Loss_G: 0.052436 Loss_D_real: -0.061400 Loss_D_fake -0.005049
[45/5000][245/535][4296] Loss_D: -0.056556 Loss_G: 0.006286 Loss_D_real: -0.017164 Loss_D_fake 0.039392
[45/5000][250/535][4297] Loss_D: -0.059260 Loss_G: 0.036287 Loss_D_real: -0.039360 Loss_D_fake 0.019899
[45/5000][255/535][4298] Loss_D: -0.058233 Loss_G: 0.015130 Loss_D_real: -0.030126 Loss_D_fake 0.028107
[45/5000][260/535][4299] Loss_D: -0.057077 Loss_G: 0.055178 Loss_D_real: -0.052280 Loss_D_fake 0.004796
[45/5000][265/535][4300] Loss_D: -0.057946 Loss_G: -0.002912 Loss_D_real: -0.012725 Loss_D_fake 0.045221
[45/5000][270/535][4301] Loss_D: -0.060054 Loss_G: 0.038789 Loss_D_real: -0.042112 Loss_D_fake 0.017942
[45/5000][275/535][4302] Loss_D: -0.057444 Loss_G: 0.011313 Loss_D_real: -0.023767 Loss_D_fake 0.033677
[45/5000][280/535][4303] Loss_D: -0.058895 Loss_G: 0.041556 Loss_D_real: -0.043455 Loss_D_fake 0.015440
[45/5000][285/535][4304] Loss_D: -0.060472 Loss_G: 0.022560 Loss_D_real: -0.028745 Loss_D_fake 0.031728
[45/5000][290/535][4305] Loss_D: -0.062302 Loss_G: 0.041101 Loss_D_real: -0.042130 Loss_D_fake 0.020173
[45/5000][295/535][4306] Loss_D: -0.058993 Loss_G: 0.010291 Loss_D_real: -0.022026 Loss_D_fake 0.036967
[45/5000][300/535][4307] Loss_D: -0.061373 Loss_G: 0.044207 Loss_D_real: -0.045540 Loss_D_fake 0.015833
[45/5000][305/535][4308] Loss_D: -0.062532 Loss_G: 0.030456 Loss_D_real: -0.036124 Loss_D_fake 0.026408
[45/5000][310/535][4309] Loss_D: -0.062909 Loss_G: 0.013741 Loss_D_real: -0.023942 Loss_D_fake 0.038967
[45/5000][315/535][4310] Loss_D: -0.058788 Loss_G: 0.056093 Loss_D_real: -0.055909 Loss_D_fake 0.002879
[45/5000][320/535][4311] Loss_D: -0.063063 Loss_G: 0.018512 Loss_D_real: -0.025672 Loss_D_fake 0.037391
[45/5000][325/535][4312] Loss_D: -0.059181 Loss_G: 0.052242 Loss_D_real: -0.052294 Loss_D_fake 0.006887
[45/5000][330/535][4313] Loss_D: -0.061520 Loss_G: 0.002223 Loss_D_real: -0.017855 Loss_D_fake 0.043665
[45/5000][335/535][4314] Loss_D: -0.059928 Loss_G: 0.039367 Loss_D_real: -0.040196 Loss_D_fake 0.019732
[45/5000][340/535][4315] Loss_D: -0.058453 Loss_G: 0.022043 Loss_D_real: -0.024957 Loss_D_fake 0.033495
[45/5000][345/535][4316] Loss_D: -0.059048 Loss_G: 0.045555 Loss_D_real: -0.046156 Loss_D_fake 0.012892
[45/5000][350/535][4317] Loss_D: -0.059316 Loss_G: 0.002818 Loss_D_real: -0.016147 Loss_D_fake 0.043169
[45/5000][355/535][4318] Loss_D: -0.057990 Loss_G: 0.038926 Loss_D_real: -0.042955 Loss_D_fake 0.015035
[45/5000][360/535][4319] Loss_D: -0.062022 Loss_G: 0.025240 Loss_D_real: -0.032202 Loss_D_fake 0.029821
[45/5000][365/535][4320] Loss_D: -0.062508 Loss_G: 0.041736 Loss_D_real: -0.043248 Loss_D_fake 0.019259
[45/5000][370/535][4321] Loss_D: -0.059386 Loss_G: 0.020417 Loss_D_real: -0.022991 Loss_D_fake 0.036395
[45/5000][375/535][4322] Loss_D: -0.061563 Loss_G: 0.042771 Loss_D_real: -0.042586 Loss_D_fake 0.018977
[45/5000][380/535][4323] Loss_D: -0.062447 Loss_G: 0.010947 Loss_D_real: -0.026138 Loss_D_fake 0.036309
[45/5000][385/535][4324] Loss_D: -0.060563 Loss_G: 0.037642 Loss_D_real: -0.038577 Loss_D_fake 0.021986
[45/5000][390/535][4325] Loss_D: -0.061433 Loss_G: 0.012788 Loss_D_real: -0.026135 Loss_D_fake 0.035298
[45/5000][395/535][4326] Loss_D: -0.060272 Loss_G: 0.036871 Loss_D_real: -0.041548 Loss_D_fake 0.018724
[45/5000][400/535][4327] Loss_D: -0.060865 Loss_G: 0.039787 Loss_D_real: -0.040005 Loss_D_fake 0.020861
[45/5000][405/535][4328] Loss_D: -0.060953 Loss_G: 0.011713 Loss_D_real: -0.022032 Loss_D_fake 0.038921
[45/5000][410/535][4329] Loss_D: -0.056717 Loss_G: 0.050918 Loss_D_real: -0.049985 Loss_D_fake 0.006732
[45/5000][415/535][4330] Loss_D: -0.058687 Loss_G: -0.000005 Loss_D_real: -0.009456 Loss_D_fake 0.049231
[45/5000][420/535][4331] Loss_D: -0.056434 Loss_G: 0.051488 Loss_D_real: -0.057222 Loss_D_fake -0.000788
[45/5000][425/535][4332] Loss_D: -0.056118 Loss_G: 0.006040 Loss_D_real: -0.012133 Loss_D_fake 0.043985
[45/5000][430/535][4333] Loss_D: -0.059318 Loss_G: 0.035734 Loss_D_real: -0.042464 Loss_D_fake 0.016854
[45/5000][435/535][4334] Loss_D: -0.058962 Loss_G: 0.010870 Loss_D_real: -0.015554 Loss_D_fake 0.043408
[45/5000][440/535][4335] Loss_D: -0.057764 Loss_G: 0.050111 Loss_D_real: -0.046161 Loss_D_fake 0.011602
[45/5000][445/535][4336] Loss_D: -0.058689 Loss_G: 0.030406 Loss_D_real: -0.027282 Loss_D_fake 0.031406
[45/5000][450/535][4337] Loss_D: -0.062711 Loss_G: 0.029846 Loss_D_real: -0.032409 Loss_D_fake 0.030301
[45/5000][455/535][4338] Loss_D: -0.060390 Loss_G: 0.024095 Loss_D_real: -0.030061 Loss_D_fake 0.030329
[45/5000][460/535][4339] Loss_D: -0.061917 Loss_G: 0.018896 Loss_D_real: -0.025514 Loss_D_fake 0.036404
[45/5000][465/535][4340] Loss_D: -0.063093 Loss_G: 0.042778 Loss_D_real: -0.040473 Loss_D_fake 0.022619
[45/5000][470/535][4341] Loss_D: -0.058331 Loss_G: 0.002006 Loss_D_real: -0.014424 Loss_D_fake 0.043908
[45/5000][475/535][4342] Loss_D: -0.057872 Loss_G: 0.025794 Loss_D_real: -0.036125 Loss_D_fake 0.021747
[45/5000][480/535][4343] Loss_D: -0.061661 Loss_G: 0.029791 Loss_D_real: -0.031253 Loss_D_fake 0.030408
[45/5000][485/535][4344] Loss_D: -0.058132 Loss_G: 0.051482 Loss_D_real: -0.050660 Loss_D_fake 0.007472
[45/5000][490/535][4345] Loss_D: -0.059926 Loss_G: 0.002813 Loss_D_real: -0.012132 Loss_D_fake 0.047794
[45/5000][495/535][4346] Loss_D: -0.056674 Loss_G: 0.052537 Loss_D_real: -0.058963 Loss_D_fake -0.002288
[45/5000][500/535][4347] Loss_D: -0.058558 Loss_G: 0.021145 Loss_D_real: -0.027243 Loss_D_fake 0.031315
[45/5000][505/535][4348] Loss_D: -0.058094 Loss_G: 0.034276 Loss_D_real: -0.036091 Loss_D_fake 0.022002
[45/5000][510/535][4349] Loss_D: -0.062566 Loss_G: 0.025895 Loss_D_real: -0.029581 Loss_D_fake 0.032985
[45/5000][515/535][4350] Loss_D: -0.061676 Loss_G: 0.037879 Loss_D_real: -0.037297 Loss_D_fake 0.024379
[45/5000][520/535][4351] Loss_D: -0.058975 Loss_G: 0.035758 Loss_D_real: -0.033677 Loss_D_fake 0.025299
[45/5000][525/535][4352] Loss_D: -0.061439 Loss_G: 0.046206 Loss_D_real: -0.041830 Loss_D_fake 0.019610
[45/5000][530/535][4353] Loss_D: -0.057306 Loss_G: -0.006456 Loss_D_real: -0.009247 Loss_D_fake 0.048059
[45/5000][535/535][4354] Loss_D: -0.055777 Loss_G: 0.037382 Loss_D_real: -0.052642 Loss_D_fake 0.003135
[46/5000][5/535][4355] Loss_D: -0.057364 Loss_G: 0.020163 Loss_D_real: -0.027176 Loss_D_fake 0.030188
[46/5000][10/535][4356] Loss_D: -0.059569 Loss_G: 0.038249 Loss_D_real: -0.035419 Loss_D_fake 0.024150
[46/5000][15/535][4357] Loss_D: -0.060571 Loss_G: 0.053911 Loss_D_real: -0.049433 Loss_D_fake 0.011139
[46/5000][20/535][4358] Loss_D: -0.061489 Loss_G: 0.009700 Loss_D_real: -0.022405 Loss_D_fake 0.039084
[46/5000][25/535][4359] Loss_D: -0.059526 Loss_G: 0.061231 Loss_D_real: -0.055943 Loss_D_fake 0.003582
[46/5000][30/535][4360] Loss_D: -0.057041 Loss_G: 0.002279 Loss_D_real: -0.007035 Loss_D_fake 0.050006
[46/5000][35/535][4361] Loss_D: -0.056484 Loss_G: 0.044430 Loss_D_real: -0.045960 Loss_D_fake 0.010524
[46/5000][40/535][4362] Loss_D: -0.059826 Loss_G: 0.025573 Loss_D_real: -0.028692 Loss_D_fake 0.031134
[46/5000][45/535][4363] Loss_D: -0.060245 Loss_G: 0.049795 Loss_D_real: -0.052889 Loss_D_fake 0.007357
[46/5000][50/535][4364] Loss_D: -0.061429 Loss_G: 0.014585 Loss_D_real: -0.023452 Loss_D_fake 0.037977
[46/5000][55/535][4365] Loss_D: -0.060711 Loss_G: 0.050733 Loss_D_real: -0.049857 Loss_D_fake 0.010854
[46/5000][60/535][4366] Loss_D: -0.059061 Loss_G: 0.005449 Loss_D_real: -0.010859 Loss_D_fake 0.048202
[46/5000][65/535][4367] Loss_D: -0.058326 Loss_G: 0.049897 Loss_D_real: -0.051336 Loss_D_fake 0.006990
[46/5000][70/535][4368] Loss_D: -0.057714 Loss_G: 0.004910 Loss_D_real: -0.014296 Loss_D_fake 0.043418
[46/5000][75/535][4369] Loss_D: -0.057586 Loss_G: 0.050357 Loss_D_real: -0.049627 Loss_D_fake 0.007960
[46/5000][80/535][4370] Loss_D: -0.060098 Loss_G: 0.025106 Loss_D_real: -0.018109 Loss_D_fake 0.041989
[46/5000][85/535][4371] Loss_D: -0.060015 Loss_G: 0.027194 Loss_D_real: -0.040039 Loss_D_fake 0.019976
[46/5000][90/535][4372] Loss_D: -0.057386 Loss_G: 0.027164 Loss_D_real: -0.029781 Loss_D_fake 0.027605
[46/5000][95/535][4373] Loss_D: -0.060769 Loss_G: 0.029127 Loss_D_real: -0.034545 Loss_D_fake 0.026224
[46/5000][100/535][4374] Loss_D: -0.060172 Loss_G: 0.018373 Loss_D_real: -0.028941 Loss_D_fake 0.031231
[46/5000][105/535][4375] Loss_D: -0.060267 Loss_G: 0.044526 Loss_D_real: -0.046547 Loss_D_fake 0.013720
[46/5000][110/535][4376] Loss_D: -0.057852 Loss_G: 0.025478 Loss_D_real: -0.035019 Loss_D_fake 0.022833
[46/5000][115/535][4377] Loss_D: -0.061914 Loss_G: 0.030622 Loss_D_real: -0.033775 Loss_D_fake 0.028140
[46/5000][120/535][4378] Loss_D: -0.061668 Loss_G: 0.023894 Loss_D_real: -0.026646 Loss_D_fake 0.035022
[46/5000][125/535][4379] Loss_D: -0.056131 Loss_G: 0.058544 Loss_D_real: -0.047110 Loss_D_fake 0.009021
[46/5000][130/535][4380] Loss_D: -0.052595 Loss_G: -0.009479 Loss_D_real: 0.005733 Loss_D_fake 0.058328
[46/5000][135/535][4381] Loss_D: -0.056485 Loss_G: 0.043912 Loss_D_real: -0.046618 Loss_D_fake 0.009866
[46/5000][140/535][4382] Loss_D: -0.055395 Loss_G: 0.013893 Loss_D_real: -0.018359 Loss_D_fake 0.037036
[46/5000][145/535][4383] Loss_D: -0.058324 Loss_G: 0.035395 Loss_D_real: -0.040573 Loss_D_fake 0.017751
[46/5000][150/535][4384] Loss_D: -0.058272 Loss_G: 0.029228 Loss_D_real: -0.036007 Loss_D_fake 0.022265
[46/5000][155/535][4385] Loss_D: -0.061775 Loss_G: 0.033857 Loss_D_real: -0.038650 Loss_D_fake 0.023125
[46/5000][160/535][4386] Loss_D: -0.063648 Loss_G: 0.033442 Loss_D_real: -0.034725 Loss_D_fake 0.028923
[46/5000][165/535][4387] Loss_D: -0.064496 Loss_G: 0.045449 Loss_D_real: -0.044615 Loss_D_fake 0.019881
[46/5000][170/535][4388] Loss_D: -0.061671 Loss_G: 0.016079 Loss_D_real: -0.023666 Loss_D_fake 0.038005
[46/5000][175/535][4389] Loss_D: -0.056205 Loss_G: 0.053888 Loss_D_real: -0.059512 Loss_D_fake -0.003306
[46/5000][180/535][4390] Loss_D: -0.059539 Loss_G: -0.006775 Loss_D_real: -0.009817 Loss_D_fake 0.049722
[46/5000][185/535][4391] Loss_D: -0.057520 Loss_G: 0.044810 Loss_D_real: -0.048597 Loss_D_fake 0.008923
[46/5000][190/535][4392] Loss_D: -0.060914 Loss_G: 0.029509 Loss_D_real: -0.033696 Loss_D_fake 0.027218
[46/5000][195/535][4393] Loss_D: -0.057658 Loss_G: 0.020492 Loss_D_real: -0.026175 Loss_D_fake 0.031482
[46/5000][200/535][4394] Loss_D: -0.061218 Loss_G: 0.049657 Loss_D_real: -0.041165 Loss_D_fake 0.020053
[46/5000][205/535][4395] Loss_D: -0.061740 Loss_G: 0.023321 Loss_D_real: -0.035859 Loss_D_fake 0.025881
[46/5000][210/535][4396] Loss_D: -0.061625 Loss_G: 0.038346 Loss_D_real: -0.034606 Loss_D_fake 0.027019
[46/5000][215/535][4397] Loss_D: -0.062360 Loss_G: 0.013172 Loss_D_real: -0.026993 Loss_D_fake 0.035367
[46/5000][220/535][4398] Loss_D: -0.060683 Loss_G: 0.051960 Loss_D_real: -0.048286 Loss_D_fake 0.012397
[46/5000][225/535][4399] Loss_D: -0.059354 Loss_G: 0.020014 Loss_D_real: -0.026557 Loss_D_fake 0.032797
[46/5000][230/535][4400] Loss_D: -0.063539 Loss_G: 0.052328 Loss_D_real: -0.048161 Loss_D_fake 0.015379
[46/5000][235/535][4401] Loss_D: -0.061931 Loss_G: 0.026738 Loss_D_real: -0.028079 Loss_D_fake 0.033852
[46/5000][240/535][4402] Loss_D: -0.059556 Loss_G: 0.037413 Loss_D_real: -0.035881 Loss_D_fake 0.023675
[46/5000][245/535][4403] Loss_D: -0.059336 Loss_G: 0.048373 Loss_D_real: -0.042770 Loss_D_fake 0.016566
[46/5000][250/535][4404] Loss_D: -0.059346 Loss_G: -0.001073 Loss_D_real: -0.013013 Loss_D_fake 0.046333
[46/5000][255/535][4405] Loss_D: -0.056268 Loss_G: 0.046910 Loss_D_real: -0.049273 Loss_D_fake 0.006994
[46/5000][260/535][4406] Loss_D: -0.055204 Loss_G: 0.003892 Loss_D_real: -0.011880 Loss_D_fake 0.043323
[46/5000][265/535][4407] Loss_D: -0.057337 Loss_G: 0.044134 Loss_D_real: -0.051352 Loss_D_fake 0.005985
[46/5000][270/535][4408] Loss_D: -0.062232 Loss_G: 0.016087 Loss_D_real: -0.025624 Loss_D_fake 0.036608
[46/5000][275/535][4409] Loss_D: -0.057580 Loss_G: 0.045380 Loss_D_real: -0.044885 Loss_D_fake 0.012696
[46/5000][280/535][4410] Loss_D: -0.058154 Loss_G: 0.020400 Loss_D_real: -0.020537 Loss_D_fake 0.037616
[46/5000][285/535][4411] Loss_D: -0.061589 Loss_G: 0.041370 Loss_D_real: -0.043778 Loss_D_fake 0.017812
[46/5000][290/535][4412] Loss_D: -0.059328 Loss_G: 0.024742 Loss_D_real: -0.028674 Loss_D_fake 0.030654
[46/5000][295/535][4413] Loss_D: -0.059868 Loss_G: 0.025726 Loss_D_real: -0.027619 Loss_D_fake 0.032249
[46/5000][300/535][4414] Loss_D: -0.057641 Loss_G: 0.033072 Loss_D_real: -0.039803 Loss_D_fake 0.017838
[46/5000][305/535][4415] Loss_D: -0.060831 Loss_G: 0.041905 Loss_D_real: -0.043913 Loss_D_fake 0.016918
[46/5000][310/535][4416] Loss_D: -0.058474 Loss_G: 0.001984 Loss_D_real: -0.015225 Loss_D_fake 0.043249
[46/5000][315/535][4417] Loss_D: -0.057158 Loss_G: 0.050485 Loss_D_real: -0.052149 Loss_D_fake 0.005009
[46/5000][320/535][4418] Loss_D: -0.059733 Loss_G: 0.006602 Loss_D_real: -0.018410 Loss_D_fake 0.041323
[46/5000][325/535][4419] Loss_D: -0.058649 Loss_G: 0.037148 Loss_D_real: -0.040656 Loss_D_fake 0.017993
[46/5000][330/535][4420] Loss_D: -0.059406 Loss_G: 0.020093 Loss_D_real: -0.030379 Loss_D_fake 0.029028
[46/5000][335/535][4421] Loss_D: -0.059489 Loss_G: 0.042725 Loss_D_real: -0.044488 Loss_D_fake 0.015000
[46/5000][340/535][4422] Loss_D: -0.060429 Loss_G: 0.020299 Loss_D_real: -0.027037 Loss_D_fake 0.033393
[46/5000][345/535][4423] Loss_D: -0.062391 Loss_G: 0.036043 Loss_D_real: -0.042033 Loss_D_fake 0.020358
[46/5000][350/535][4424] Loss_D: -0.062529 Loss_G: 0.018549 Loss_D_real: -0.027082 Loss_D_fake 0.035447
[46/5000][355/535][4425] Loss_D: -0.062242 Loss_G: 0.046535 Loss_D_real: -0.040468 Loss_D_fake 0.021774
[46/5000][360/535][4426] Loss_D: -0.060133 Loss_G: 0.000263 Loss_D_real: -0.011469 Loss_D_fake 0.048664
[46/5000][365/535][4427] Loss_D: -0.058092 Loss_G: 0.039670 Loss_D_real: -0.044054 Loss_D_fake 0.014038
[46/5000][370/535][4428] Loss_D: -0.060435 Loss_G: 0.015276 Loss_D_real: -0.023842 Loss_D_fake 0.036593
[46/5000][375/535][4429] Loss_D: -0.061533 Loss_G: 0.044925 Loss_D_real: -0.043795 Loss_D_fake 0.017738
[46/5000][380/535][4430] Loss_D: -0.057050 Loss_G: 0.017563 Loss_D_real: -0.022970 Loss_D_fake 0.034079
[46/5000][385/535][4431] Loss_D: -0.059132 Loss_G: 0.037795 Loss_D_real: -0.036405 Loss_D_fake 0.022727
[46/5000][390/535][4432] Loss_D: -0.058361 Loss_G: 0.004271 Loss_D_real: -0.016217 Loss_D_fake 0.042144
[46/5000][395/535][4433] Loss_D: -0.059063 Loss_G: 0.046852 Loss_D_real: -0.045801 Loss_D_fake 0.013262
[46/5000][400/535][4434] Loss_D: -0.058600 Loss_G: -0.001360 Loss_D_real: -0.014323 Loss_D_fake 0.044277
[46/5000][405/535][4435] Loss_D: -0.059013 Loss_G: 0.040002 Loss_D_real: -0.044966 Loss_D_fake 0.014047
[46/5000][410/535][4436] Loss_D: -0.059253 Loss_G: 0.036860 Loss_D_real: -0.038224 Loss_D_fake 0.021029
[46/5000][415/535][4437] Loss_D: -0.060970 Loss_G: 0.039939 Loss_D_real: -0.039286 Loss_D_fake 0.021685
[46/5000][420/535][4438] Loss_D: -0.058314 Loss_G: 0.055209 Loss_D_real: -0.052338 Loss_D_fake 0.005977
[46/5000][425/535][4439] Loss_D: -0.061388 Loss_G: 0.013934 Loss_D_real: -0.016710 Loss_D_fake 0.044678
[46/5000][430/535][4440] Loss_D: -0.057391 Loss_G: 0.036249 Loss_D_real: -0.039731 Loss_D_fake 0.017660
[46/5000][435/535][4441] Loss_D: -0.060027 Loss_G: 0.037234 Loss_D_real: -0.035089 Loss_D_fake 0.024938
[46/5000][440/535][4442] Loss_D: -0.063660 Loss_G: 0.033178 Loss_D_real: -0.038307 Loss_D_fake 0.025353
[46/5000][445/535][4443] Loss_D: -0.059765 Loss_G: 0.053597 Loss_D_real: -0.051067 Loss_D_fake 0.008698
[46/5000][450/535][4444] Loss_D: -0.058038 Loss_G: 0.001513 Loss_D_real: -0.012801 Loss_D_fake 0.045237
[46/5000][455/535][4445] Loss_D: -0.057091 Loss_G: 0.036363 Loss_D_real: -0.043949 Loss_D_fake 0.013142
[46/5000][460/535][4446] Loss_D: -0.058501 Loss_G: 0.039232 Loss_D_real: -0.037532 Loss_D_fake 0.020969
[46/5000][465/535][4447] Loss_D: -0.061210 Loss_G: 0.021361 Loss_D_real: -0.032620 Loss_D_fake 0.028591
[46/5000][470/535][4448] Loss_D: -0.059803 Loss_G: 0.046166 Loss_D_real: -0.046468 Loss_D_fake 0.013335
[46/5000][475/535][4449] Loss_D: -0.060247 Loss_G: 0.021788 Loss_D_real: -0.027508 Loss_D_fake 0.032740
[46/5000][480/535][4450] Loss_D: -0.059251 Loss_G: 0.035307 Loss_D_real: -0.031128 Loss_D_fake 0.028123
[46/5000][485/535][4451] Loss_D: -0.062523 Loss_G: 0.012948 Loss_D_real: -0.023534 Loss_D_fake 0.038989
[46/5000][490/535][4452] Loss_D: -0.056507 Loss_G: 0.060811 Loss_D_real: -0.058981 Loss_D_fake -0.002475
[46/5000][495/535][4453] Loss_D: -0.055967 Loss_G: -0.008492 Loss_D_real: -0.008877 Loss_D_fake 0.047090
[46/5000][500/535][4454] Loss_D: -0.054088 Loss_G: 0.049330 Loss_D_real: -0.053824 Loss_D_fake 0.000264
[46/5000][505/535][4455] Loss_D: -0.056698 Loss_G: 0.014754 Loss_D_real: -0.020821 Loss_D_fake 0.035876
[46/5000][510/535][4456] Loss_D: -0.055184 Loss_G: 0.022766 Loss_D_real: -0.028529 Loss_D_fake 0.026655
[46/5000][515/535][4457] Loss_D: -0.056037 Loss_G: 0.031066 Loss_D_real: -0.036713 Loss_D_fake 0.019324
[46/5000][520/535][4458] Loss_D: -0.059942 Loss_G: 0.019206 Loss_D_real: -0.026038 Loss_D_fake 0.033904
[46/5000][525/535][4459] Loss_D: -0.059331 Loss_G: 0.034967 Loss_D_real: -0.039156 Loss_D_fake 0.020175
[46/5000][530/535][4460] Loss_D: -0.058502 Loss_G: 0.036008 Loss_D_real: -0.035349 Loss_D_fake 0.023153
[46/5000][535/535][4461] Loss_D: -0.061490 Loss_G: 0.006292 Loss_D_real: -0.024929 Loss_D_fake 0.036561
[47/5000][5/535][4462] Loss_D: -0.055518 Loss_G: 0.061075 Loss_D_real: -0.058389 Loss_D_fake -0.002871
[47/5000][10/535][4463] Loss_D: -0.059367 Loss_G: 0.003245 Loss_D_real: -0.015783 Loss_D_fake 0.043584
[47/5000][15/535][4464] Loss_D: -0.057339 Loss_G: 0.034785 Loss_D_real: -0.036297 Loss_D_fake 0.021042
[47/5000][20/535][4465] Loss_D: -0.059477 Loss_G: 0.022440 Loss_D_real: -0.024535 Loss_D_fake 0.034942
[47/5000][25/535][4466] Loss_D: -0.061802 Loss_G: 0.011884 Loss_D_real: -0.027630 Loss_D_fake 0.034172
[47/5000][30/535][4467] Loss_D: -0.057589 Loss_G: 0.050727 Loss_D_real: -0.050723 Loss_D_fake 0.006866
[47/5000][35/535][4468] Loss_D: -0.062683 Loss_G: 0.022323 Loss_D_real: -0.029026 Loss_D_fake 0.033657
[47/5000][40/535][4469] Loss_D: -0.061325 Loss_G: 0.051398 Loss_D_real: -0.043867 Loss_D_fake 0.017458
[47/5000][45/535][4470] Loss_D: -0.062883 Loss_G: 0.004907 Loss_D_real: -0.020978 Loss_D_fake 0.041905
[47/5000][50/535][4471] Loss_D: -0.056374 Loss_G: 0.058290 Loss_D_real: -0.054263 Loss_D_fake 0.002111
[47/5000][55/535][4472] Loss_D: -0.056678 Loss_G: 0.009101 Loss_D_real: -0.015970 Loss_D_fake 0.040708
[47/5000][60/535][4473] Loss_D: -0.058843 Loss_G: 0.052505 Loss_D_real: -0.055080 Loss_D_fake 0.003763
[47/5000][65/535][4474] Loss_D: -0.059006 Loss_G: 0.042294 Loss_D_real: -0.040454 Loss_D_fake 0.018552
[47/5000][70/535][4475] Loss_D: -0.063952 Loss_G: 0.041762 Loss_D_real: -0.040818 Loss_D_fake 0.023134
[47/5000][75/535][4476] Loss_D: -0.060310 Loss_G: 0.034748 Loss_D_real: -0.036308 Loss_D_fake 0.024002
[47/5000][80/535][4477] Loss_D: -0.062609 Loss_G: 0.019962 Loss_D_real: -0.022889 Loss_D_fake 0.039720
[47/5000][85/535][4478] Loss_D: -0.057398 Loss_G: 0.057753 Loss_D_real: -0.052747 Loss_D_fake 0.004651
[47/5000][90/535][4479] Loss_D: -0.055676 Loss_G: 0.010087 Loss_D_real: -0.013799 Loss_D_fake 0.041878
[47/5000][95/535][4480] Loss_D: -0.057078 Loss_G: 0.047520 Loss_D_real: -0.046845 Loss_D_fake 0.010234
[47/5000][100/535][4481] Loss_D: -0.059337 Loss_G: 0.030645 Loss_D_real: -0.029949 Loss_D_fake 0.029388
[47/5000][105/535][4482] Loss_D: -0.061783 Loss_G: 0.042495 Loss_D_real: -0.036191 Loss_D_fake 0.025592
[47/5000][110/535][4483] Loss_D: -0.060025 Loss_G: 0.043470 Loss_D_real: -0.042648 Loss_D_fake 0.017377
[47/5000][115/535][4484] Loss_D: -0.058388 Loss_G: 0.008865 Loss_D_real: -0.019901 Loss_D_fake 0.038487
[47/5000][120/535][4485] Loss_D: -0.060199 Loss_G: 0.040182 Loss_D_real: -0.046424 Loss_D_fake 0.013776
[47/5000][125/535][4486] Loss_D: -0.058098 Loss_G: 0.023955 Loss_D_real: -0.024747 Loss_D_fake 0.033351
[47/5000][130/535][4487] Loss_D: -0.056085 Loss_G: 0.004941 Loss_D_real: -0.019441 Loss_D_fake 0.036644
[47/5000][135/535][4488] Loss_D: -0.057135 Loss_G: 0.045217 Loss_D_real: -0.044649 Loss_D_fake 0.012485
[47/5000][140/535][4489] Loss_D: -0.057749 Loss_G: 0.001055 Loss_D_real: -0.014241 Loss_D_fake 0.043508
[47/5000][145/535][4490] Loss_D: -0.055804 Loss_G: 0.050679 Loss_D_real: -0.051705 Loss_D_fake 0.004098
[47/5000][150/535][4491] Loss_D: -0.057546 Loss_G: 0.004557 Loss_D_real: -0.009235 Loss_D_fake 0.048312
[47/5000][155/535][4492] Loss_D: -0.056152 Loss_G: 0.039162 Loss_D_real: -0.040653 Loss_D_fake 0.015499
[47/5000][160/535][4493] Loss_D: -0.058247 Loss_G: 0.028798 Loss_D_real: -0.034596 Loss_D_fake 0.023651
[47/5000][165/535][4494] Loss_D: -0.058958 Loss_G: 0.027223 Loss_D_real: -0.028302 Loss_D_fake 0.030655
[47/5000][170/535][4495] Loss_D: -0.059763 Loss_G: 0.029978 Loss_D_real: -0.029689 Loss_D_fake 0.030074
[47/5000][175/535][4496] Loss_D: -0.059540 Loss_G: 0.027272 Loss_D_real: -0.029353 Loss_D_fake 0.030187
[47/5000][180/535][4497] Loss_D: -0.059731 Loss_G: 0.009161 Loss_D_real: -0.019184 Loss_D_fake 0.040548
[47/5000][185/535][4498] Loss_D: -0.061970 Loss_G: 0.047473 Loss_D_real: -0.046105 Loss_D_fake 0.015865
[47/5000][190/535][4499] Loss_D: -0.058180 Loss_G: -0.001622 Loss_D_real: -0.010029 Loss_D_fake 0.048151
[47/5000][195/535][4500] Loss_D: -0.061540 Loss_G: 0.045896 Loss_D_real: -0.045454 Loss_D_fake 0.016086
[47/5000][295/535][4501] Loss_D: -0.065523 Loss_G: 0.024719 Loss_D_real: -0.027729 Loss_D_fake 0.037794
[47/5000][300/535][4502] Loss_D: -0.069995 Loss_G: 0.045513 Loss_D_real: -0.048520 Loss_D_fake 0.021474
[47/5000][305/535][4503] Loss_D: -0.055394 Loss_G: 0.012562 Loss_D_real: -0.019558 Loss_D_fake 0.035836
[47/5000][310/535][4504] Loss_D: -0.057496 Loss_G: 0.036717 Loss_D_real: -0.041969 Loss_D_fake 0.015527
[47/5000][315/535][4505] Loss_D: -0.061507 Loss_G: 0.045378 Loss_D_real: -0.047245 Loss_D_fake 0.014262
[47/5000][320/535][4506] Loss_D: -0.059182 Loss_G: 0.042640 Loss_D_real: -0.037790 Loss_D_fake 0.021392
[47/5000][325/535][4507] Loss_D: -0.059982 Loss_G: 0.008491 Loss_D_real: -0.021362 Loss_D_fake 0.038619
[47/5000][330/535][4508] Loss_D: -0.055898 Loss_G: 0.047946 Loss_D_real: -0.048535 Loss_D_fake 0.007363
[47/5000][335/535][4509] Loss_D: -0.062390 Loss_G: 0.025542 Loss_D_real: -0.033644 Loss_D_fake 0.028746
[47/5000][340/535][4510] Loss_D: -0.058571 Loss_G: 0.027198 Loss_D_real: -0.030060 Loss_D_fake 0.028511
[47/5000][345/535][4511] Loss_D: -0.059538 Loss_G: 0.025434 Loss_D_real: -0.033454 Loss_D_fake 0.026084
[47/5000][350/535][4512] Loss_D: -0.059962 Loss_G: 0.019395 Loss_D_real: -0.035132 Loss_D_fake 0.024830
[47/5000][355/535][4513] Loss_D: -0.057431 Loss_G: 0.053246 Loss_D_real: -0.057055 Loss_D_fake 0.000377
[47/5000][360/535][4514] Loss_D: -0.060366 Loss_G: -0.010390 Loss_D_real: -0.014309 Loss_D_fake 0.046057
[47/5000][365/535][4515] Loss_D: -0.055843 Loss_G: 0.052950 Loss_D_real: -0.053995 Loss_D_fake 0.001848
[47/5000][370/535][4516] Loss_D: -0.060259 Loss_G: 0.013445 Loss_D_real: -0.020242 Loss_D_fake 0.040018
[47/5000][375/535][4517] Loss_D: -0.059173 Loss_G: 0.046747 Loss_D_real: -0.048983 Loss_D_fake 0.010190
[47/5000][380/535][4518] Loss_D: -0.059801 Loss_G: 0.027141 Loss_D_real: -0.029249 Loss_D_fake 0.030552
[47/5000][385/535][4519] Loss_D: -0.061275 Loss_G: 0.037806 Loss_D_real: -0.039047 Loss_D_fake 0.022228
[47/5000][390/535][4520] Loss_D: -0.061064 Loss_G: 0.046669 Loss_D_real: -0.042083 Loss_D_fake 0.018981
[47/5000][395/535][4521] Loss_D: -0.059998 Loss_G: 0.021059 Loss_D_real: -0.027633 Loss_D_fake 0.032364
[47/5000][400/535][4522] Loss_D: -0.060493 Loss_G: 0.054812 Loss_D_real: -0.048098 Loss_D_fake 0.012395
[47/5000][405/535][4523] Loss_D: -0.057759 Loss_G: 0.016049 Loss_D_real: -0.018171 Loss_D_fake 0.039588
[47/5000][410/535][4524] Loss_D: -0.059766 Loss_G: 0.039197 Loss_D_real: -0.043832 Loss_D_fake 0.015934
[47/5000][415/535][4525] Loss_D: -0.059170 Loss_G: 0.030306 Loss_D_real: -0.028439 Loss_D_fake 0.030732
[47/5000][420/535][4526] Loss_D: -0.060663 Loss_G: 0.017293 Loss_D_real: -0.025480 Loss_D_fake 0.035183
[47/5000][425/535][4527] Loss_D: -0.060352 Loss_G: 0.050304 Loss_D_real: -0.047549 Loss_D_fake 0.012803
[47/5000][430/535][4528] Loss_D: -0.061482 Loss_G: 0.011742 Loss_D_real: -0.021708 Loss_D_fake 0.039774
[47/5000][435/535][4529] Loss_D: -0.056235 Loss_G: 0.061364 Loss_D_real: -0.060899 Loss_D_fake -0.004665
[47/5000][440/535][4530] Loss_D: -0.055039 Loss_G: 0.005806 Loss_D_real: -0.008666 Loss_D_fake 0.046373
[47/5000][445/535][4531] Loss_D: -0.056174 Loss_G: 0.040357 Loss_D_real: -0.038379 Loss_D_fake 0.017795
[47/5000][450/535][4532] Loss_D: -0.059649 Loss_G: 0.018353 Loss_D_real: -0.024898 Loss_D_fake 0.034751
[47/5000][455/535][4533] Loss_D: -0.058569 Loss_G: 0.040531 Loss_D_real: -0.038093 Loss_D_fake 0.020477
[47/5000][460/535][4534] Loss_D: -0.057918 Loss_G: 0.002341 Loss_D_real: -0.015808 Loss_D_fake 0.042110
[47/5000][465/535][4535] Loss_D: -0.057022 Loss_G: 0.038646 Loss_D_real: -0.037604 Loss_D_fake 0.019418
[47/5000][470/535][4536] Loss_D: -0.058062 Loss_G: 0.012851 Loss_D_real: -0.018795 Loss_D_fake 0.039267
[47/5000][475/535][4537] Loss_D: -0.057678 Loss_G: 0.051241 Loss_D_real: -0.047540 Loss_D_fake 0.010138
[47/5000][480/535][4538] Loss_D: -0.056128 Loss_G: 0.003214 Loss_D_real: -0.014950 Loss_D_fake 0.041178
[47/5000][485/535][4539] Loss_D: -0.058995 Loss_G: 0.041348 Loss_D_real: -0.047990 Loss_D_fake 0.011005
[47/5000][490/535][4540] Loss_D: -0.057154 Loss_G: 0.016398 Loss_D_real: -0.022976 Loss_D_fake 0.034178
[47/5000][495/535][4541] Loss_D: -0.058834 Loss_G: 0.047006 Loss_D_real: -0.050864 Loss_D_fake 0.007970
[47/5000][500/535][4542] Loss_D: -0.060408 Loss_G: 0.000472 Loss_D_real: -0.017828 Loss_D_fake 0.042581
[47/5000][505/535][4543] Loss_D: -0.059042 Loss_G: 0.045312 Loss_D_real: -0.048742 Loss_D_fake 0.010300
[47/5000][510/535][4544] Loss_D: -0.060533 Loss_G: 0.017861 Loss_D_real: -0.029989 Loss_D_fake 0.030544
[47/5000][515/535][4545] Loss_D: -0.060647 Loss_G: 0.039649 Loss_D_real: -0.041719 Loss_D_fake 0.018928
[47/5000][520/535][4546] Loss_D: -0.057964 Loss_G: 0.033746 Loss_D_real: -0.037744 Loss_D_fake 0.020220
[47/5000][525/535][4547] Loss_D: -0.063389 Loss_G: 0.021140 Loss_D_real: -0.027138 Loss_D_fake 0.036251
[47/5000][530/535][4548] Loss_D: -0.061327 Loss_G: 0.044769 Loss_D_real: -0.047705 Loss_D_fake 0.013622
[47/5000][535/535][4549] Loss_D: -0.062893 Loss_G: 0.020251 Loss_D_real: -0.022292 Loss_D_fake 0.040600
[48/5000][5/535][4550] Loss_D: -0.060368 Loss_G: 0.042076 Loss_D_real: -0.045939 Loss_D_fake 0.014428
[48/5000][10/535][4551] Loss_D: -0.057516 Loss_G: 0.010362 Loss_D_real: -0.017127 Loss_D_fake 0.040389
[48/5000][15/535][4552] Loss_D: -0.058549 Loss_G: 0.044354 Loss_D_real: -0.046162 Loss_D_fake 0.012387
[48/5000][20/535][4553] Loss_D: -0.056587 Loss_G: 0.023766 Loss_D_real: -0.024058 Loss_D_fake 0.032529
[48/5000][25/535][4554] Loss_D: -0.059371 Loss_G: 0.047685 Loss_D_real: -0.046571 Loss_D_fake 0.012801
[48/5000][30/535][4555] Loss_D: -0.057555 Loss_G: 0.010409 Loss_D_real: -0.015536 Loss_D_fake 0.042019
[48/5000][35/535][4556] Loss_D: -0.057089 Loss_G: 0.039813 Loss_D_real: -0.043274 Loss_D_fake 0.013815
[48/5000][40/535][4557] Loss_D: -0.058728 Loss_G: 0.029392 Loss_D_real: -0.030517 Loss_D_fake 0.028211
[48/5000][45/535][4558] Loss_D: -0.061400 Loss_G: 0.030519 Loss_D_real: -0.034182 Loss_D_fake 0.027218
[48/5000][50/535][4559] Loss_D: -0.061148 Loss_G: 0.038490 Loss_D_real: -0.037164 Loss_D_fake 0.023984
[48/5000][55/535][4560] Loss_D: -0.060496 Loss_G: 0.017038 Loss_D_real: -0.027896 Loss_D_fake 0.032599
[48/5000][60/535][4561] Loss_D: -0.059546 Loss_G: 0.041126 Loss_D_real: -0.043173 Loss_D_fake 0.016374
[48/5000][65/535][4562] Loss_D: -0.059326 Loss_G: 0.026515 Loss_D_real: -0.027619 Loss_D_fake 0.031707
[48/5000][70/535][4563] Loss_D: -0.060696 Loss_G: 0.010035 Loss_D_real: -0.023315 Loss_D_fake 0.037380
[48/5000][75/535][4564] Loss_D: -0.057216 Loss_G: 0.060793 Loss_D_real: -0.053528 Loss_D_fake 0.003689
[48/5000][80/535][4565] Loss_D: -0.060179 Loss_G: 0.006629 Loss_D_real: -0.016099 Loss_D_fake 0.044080
[48/5000][85/535][4566] Loss_D: -0.055083 Loss_G: 0.045059 Loss_D_real: -0.050538 Loss_D_fake 0.004545
[48/5000][90/535][4567] Loss_D: -0.056692 Loss_G: 0.013847 Loss_D_real: -0.021445 Loss_D_fake 0.035247
[48/5000][95/535][4568] Loss_D: -0.060971 Loss_G: 0.015647 Loss_D_real: -0.028402 Loss_D_fake 0.032569
[48/5000][100/535][4569] Loss_D: -0.059928 Loss_G: 0.041995 Loss_D_real: -0.048389 Loss_D_fake 0.011539
[48/5000][105/535][4570] Loss_D: -0.060741 Loss_G: 0.015901 Loss_D_real: -0.028637 Loss_D_fake 0.032104
[48/5000][110/535][4571] Loss_D: -0.056894 Loss_G: 0.049557 Loss_D_real: -0.048370 Loss_D_fake 0.008524
[48/5000][115/535][4572] Loss_D: -0.057832 Loss_G: -0.000073 Loss_D_real: -0.014481 Loss_D_fake 0.043352
[48/5000][120/535][4573] Loss_D: -0.056858 Loss_G: 0.047563 Loss_D_real: -0.048961 Loss_D_fake 0.007897
[48/5000][125/535][4574] Loss_D: -0.057224 Loss_G: 0.013589 Loss_D_real: -0.028173 Loss_D_fake 0.029051
[48/5000][130/535][4575] Loss_D: -0.059952 Loss_G: 0.041630 Loss_D_real: -0.039465 Loss_D_fake 0.020487
[48/5000][135/535][4576] Loss_D: -0.056954 Loss_G: 0.021974 Loss_D_real: -0.024843 Loss_D_fake 0.032112
[48/5000][140/535][4577] Loss_D: -0.060687 Loss_G: 0.044829 Loss_D_real: -0.045460 Loss_D_fake 0.015227
[48/5000][145/535][4578] Loss_D: -0.058722 Loss_G: 0.025998 Loss_D_real: -0.030898 Loss_D_fake 0.027824
[48/5000][150/535][4579] Loss_D: -0.060139 Loss_G: 0.058219 Loss_D_real: -0.049254 Loss_D_fake 0.010885
[48/5000][155/535][4580] Loss_D: -0.058604 Loss_G: 0.001423 Loss_D_real: -0.009992 Loss_D_fake 0.048612
[48/5000][160/535][4581] Loss_D: -0.056529 Loss_G: 0.053596 Loss_D_real: -0.058515 Loss_D_fake -0.001985
[48/5000][165/535][4582] Loss_D: -0.061050 Loss_G: 0.026121 Loss_D_real: -0.029541 Loss_D_fake 0.031509
[48/5000][170/535][4583] Loss_D: -0.060813 Loss_G: 0.042853 Loss_D_real: -0.044877 Loss_D_fake 0.015936
[48/5000][175/535][4584] Loss_D: -0.060301 Loss_G: 0.025839 Loss_D_real: -0.025691 Loss_D_fake 0.034610
[48/5000][180/535][4585] Loss_D: -0.062887 Loss_G: 0.049017 Loss_D_real: -0.048802 Loss_D_fake 0.014085
[48/5000][185/535][4586] Loss_D: -0.059991 Loss_G: -0.004350 Loss_D_real: -0.013557 Loss_D_fake 0.046435
[48/5000][190/535][4587] Loss_D: -0.059146 Loss_G: 0.050019 Loss_D_real: -0.054703 Loss_D_fake 0.004442
[48/5000][195/535][4588] Loss_D: -0.059910 Loss_G: 0.022241 Loss_D_real: -0.030244 Loss_D_fake 0.029666
[48/5000][200/535][4589] Loss_D: -0.060885 Loss_G: 0.036618 Loss_D_real: -0.039146 Loss_D_fake 0.021740
[48/5000][205/535][4590] Loss_D: -0.058852 Loss_G: 0.061382 Loss_D_real: -0.053894 Loss_D_fake 0.004958
[48/5000][210/535][4591] Loss_D: -0.055705 Loss_G: 0.009113 Loss_D_real: -0.015563 Loss_D_fake 0.040142
[48/5000][215/535][4592] Loss_D: -0.059282 Loss_G: 0.046966 Loss_D_real: -0.045635 Loss_D_fake 0.013648
[48/5000][220/535][4593] Loss_D: -0.060784 Loss_G: 0.024013 Loss_D_real: -0.030242 Loss_D_fake 0.030542
[48/5000][225/535][4594] Loss_D: -0.062442 Loss_G: 0.051235 Loss_D_real: -0.046877 Loss_D_fake 0.015566
[48/5000][230/535][4595] Loss_D: -0.061010 Loss_G: 0.015488 Loss_D_real: -0.020841 Loss_D_fake 0.040168
[48/5000][235/535][4596] Loss_D: -0.058714 Loss_G: 0.045096 Loss_D_real: -0.043953 Loss_D_fake 0.014761
[48/5000][240/535][4597] Loss_D: -0.058359 Loss_G: 0.006294 Loss_D_real: -0.015278 Loss_D_fake 0.043081
[48/5000][245/535][4598] Loss_D: -0.058485 Loss_G: 0.045023 Loss_D_real: -0.043081 Loss_D_fake 0.015404
[48/5000][250/535][4599] Loss_D: -0.060268 Loss_G: 0.040107 Loss_D_real: -0.042758 Loss_D_fake 0.017510
[48/5000][255/535][4600] Loss_D: -0.062194 Loss_G: 0.002895 Loss_D_real: -0.018245 Loss_D_fake 0.043949
[48/5000][260/535][4601] Loss_D: -0.059439 Loss_G: 0.045994 Loss_D_real: -0.049770 Loss_D_fake 0.009669
[48/5000][265/535][4602] Loss_D: -0.060386 Loss_G: 0.041001 Loss_D_real: -0.043263 Loss_D_fake 0.017123
[48/5000][270/535][4603] Loss_D: -0.059423 Loss_G: 0.017942 Loss_D_real: -0.020852 Loss_D_fake 0.038572
[48/5000][275/535][4604] Loss_D: -0.060453 Loss_G: 0.027326 Loss_D_real: -0.031312 Loss_D_fake 0.029141
[48/5000][280/535][4605] Loss_D: -0.060624 Loss_G: 0.055747 Loss_D_real: -0.055598 Loss_D_fake 0.005026
[48/5000][285/535][4606] Loss_D: -0.058341 Loss_G: 0.004018 Loss_D_real: -0.008841 Loss_D_fake 0.049499
[48/5000][290/535][4607] Loss_D: -0.054128 Loss_G: 0.046436 Loss_D_real: -0.048673 Loss_D_fake 0.005455
[48/5000][295/535][4608] Loss_D: -0.057910 Loss_G: 0.020960 Loss_D_real: -0.022989 Loss_D_fake 0.034920
[48/5000][300/535][4609] Loss_D: -0.057585 Loss_G: 0.034533 Loss_D_real: -0.030775 Loss_D_fake 0.026810
[48/5000][305/535][4610] Loss_D: -0.057971 Loss_G: 0.012998 Loss_D_real: -0.027757 Loss_D_fake 0.030214
[48/5000][310/535][4611] Loss_D: -0.059044 Loss_G: 0.053792 Loss_D_real: -0.051953 Loss_D_fake 0.007090
[48/5000][315/535][4612] Loss_D: -0.056772 Loss_G: -0.008988 Loss_D_real: -0.007910 Loss_D_fake 0.048861
[48/5000][320/535][4613] Loss_D: -0.056506 Loss_G: 0.040199 Loss_D_real: -0.051478 Loss_D_fake 0.005028
[48/5000][325/535][4614] Loss_D: -0.055901 Loss_G: 0.023875 Loss_D_real: -0.025433 Loss_D_fake 0.030468
[48/5000][330/535][4615] Loss_D: -0.057617 Loss_G: 0.030398 Loss_D_real: -0.033870 Loss_D_fake 0.023747
[48/5000][335/535][4616] Loss_D: -0.059222 Loss_G: 0.031930 Loss_D_real: -0.037652 Loss_D_fake 0.021570
[48/5000][340/535][4617] Loss_D: -0.062182 Loss_G: 0.026004 Loss_D_real: -0.031830 Loss_D_fake 0.030352
[48/5000][345/535][4618] Loss_D: -0.055705 Loss_G: 0.046082 Loss_D_real: -0.046116 Loss_D_fake 0.009589
[48/5000][350/535][4619] Loss_D: -0.060721 Loss_G: 0.020102 Loss_D_real: -0.023675 Loss_D_fake 0.037047
[48/5000][355/535][4620] Loss_D: -0.058603 Loss_G: 0.014357 Loss_D_real: -0.025469 Loss_D_fake 0.033135
[48/5000][360/535][4621] Loss_D: -0.057031 Loss_G: 0.030131 Loss_D_real: -0.040038 Loss_D_fake 0.016993
[48/5000][365/535][4622] Loss_D: -0.057441 Loss_G: 0.007451 Loss_D_real: -0.019901 Loss_D_fake 0.037539
[48/5000][370/535][4623] Loss_D: -0.057793 Loss_G: 0.043581 Loss_D_real: -0.049830 Loss_D_fake 0.007963
[48/5000][375/535][4624] Loss_D: -0.057937 Loss_G: -0.002293 Loss_D_real: -0.010805 Loss_D_fake 0.047132
[48/5000][380/535][4625] Loss_D: -0.060845 Loss_G: 0.044304 Loss_D_real: -0.047186 Loss_D_fake 0.013658
[48/5000][385/535][4626] Loss_D: -0.059500 Loss_G: 0.011015 Loss_D_real: -0.020010 Loss_D_fake 0.039490
[48/5000][390/535][4627] Loss_D: -0.063562 Loss_G: 0.047417 Loss_D_real: -0.046008 Loss_D_fake 0.017554
[48/5000][395/535][4628] Loss_D: -0.060707 Loss_G: 0.010942 Loss_D_real: -0.015792 Loss_D_fake 0.044915
[48/5000][400/535][4629] Loss_D: -0.061881 Loss_G: 0.023878 Loss_D_real: -0.033993 Loss_D_fake 0.027888
[48/5000][405/535][4630] Loss_D: -0.061167 Loss_G: 0.043840 Loss_D_real: -0.044288 Loss_D_fake 0.016879
[48/5000][410/535][4631] Loss_D: -0.060912 Loss_G: 0.014194 Loss_D_real: -0.029524 Loss_D_fake 0.031389
[48/5000][415/535][4632] Loss_D: -0.060134 Loss_G: 0.043212 Loss_D_real: -0.042844 Loss_D_fake 0.017290
[48/5000][420/535][4633] Loss_D: -0.058329 Loss_G: 0.015897 Loss_D_real: -0.027555 Loss_D_fake 0.030775
[48/5000][425/535][4634] Loss_D: -0.058532 Loss_G: 0.037454 Loss_D_real: -0.044557 Loss_D_fake 0.013975
[48/5000][430/535][4635] Loss_D: -0.060728 Loss_G: 0.025031 Loss_D_real: -0.030545 Loss_D_fake 0.030183
[48/5000][435/535][4636] Loss_D: -0.061766 Loss_G: 0.032537 Loss_D_real: -0.037294 Loss_D_fake 0.024472
[48/5000][440/535][4637] Loss_D: -0.058661 Loss_G: 0.059414 Loss_D_real: -0.058013 Loss_D_fake 0.000648
[48/5000][445/535][4638] Loss_D: -0.059652 Loss_G: 0.020504 Loss_D_real: -0.025317 Loss_D_fake 0.034335
[48/5000][450/535][4639] Loss_D: -0.060163 Loss_G: 0.026517 Loss_D_real: -0.036344 Loss_D_fake 0.023820
[48/5000][455/535][4640] Loss_D: -0.059041 Loss_G: 0.062276 Loss_D_real: -0.053019 Loss_D_fake 0.006022
[48/5000][460/535][4641] Loss_D: -0.059854 Loss_G: -0.005071 Loss_D_real: -0.011240 Loss_D_fake 0.048614
[48/5000][465/535][4642] Loss_D: -0.055389 Loss_G: 0.043810 Loss_D_real: -0.047394 Loss_D_fake 0.007995
[48/5000][470/535][4643] Loss_D: -0.059113 Loss_G: 0.011419 Loss_D_real: -0.017594 Loss_D_fake 0.041519
[48/5000][475/535][4644] Loss_D: -0.059147 Loss_G: 0.047680 Loss_D_real: -0.047584 Loss_D_fake 0.011563
[48/5000][480/535][4645] Loss_D: -0.058918 Loss_G: -0.000461 Loss_D_real: -0.014958 Loss_D_fake 0.043959
[48/5000][485/535][4646] Loss_D: -0.058374 Loss_G: 0.042765 Loss_D_real: -0.046777 Loss_D_fake 0.011598
[48/5000][490/535][4647] Loss_D: -0.063146 Loss_G: 0.043574 Loss_D_real: -0.041912 Loss_D_fake 0.021234
[48/5000][495/535][4648] Loss_D: -0.061290 Loss_G: 0.043335 Loss_D_real: -0.045140 Loss_D_fake 0.016150
[48/5000][500/535][4649] Loss_D: -0.058892 Loss_G: 0.027755 Loss_D_real: -0.031882 Loss_D_fake 0.027009
[48/5000][505/535][4650] Loss_D: -0.059243 Loss_G: 0.023502 Loss_D_real: -0.028395 Loss_D_fake 0.030848
[48/5000][510/535][4651] Loss_D: -0.060778 Loss_G: 0.022046 Loss_D_real: -0.034293 Loss_D_fake 0.026485
[48/5000][515/535][4652] Loss_D: -0.059240 Loss_G: 0.056179 Loss_D_real: -0.054680 Loss_D_fake 0.004560
[48/5000][520/535][4653] Loss_D: -0.054868 Loss_G: -0.007605 Loss_D_real: -0.000873 Loss_D_fake 0.053995
[48/5000][525/535][4654] Loss_D: -0.056333 Loss_G: 0.039768 Loss_D_real: -0.044589 Loss_D_fake 0.011744
[48/5000][530/535][4655] Loss_D: -0.056293 Loss_G: 0.017541 Loss_D_real: -0.024348 Loss_D_fake 0.031946
[48/5000][535/535][4656] Loss_D: -0.057095 Loss_G: 0.029910 Loss_D_real: -0.038470 Loss_D_fake 0.018625
[49/5000][5/535][4657] Loss_D: -0.059151 Loss_G: 0.018715 Loss_D_real: -0.029234 Loss_D_fake 0.029917
[49/5000][10/535][4658] Loss_D: -0.061163 Loss_G: 0.046980 Loss_D_real: -0.045296 Loss_D_fake 0.015868
[49/5000][15/535][4659] Loss_D: -0.058637 Loss_G: 0.016710 Loss_D_real: -0.023032 Loss_D_fake 0.035605
[49/5000][20/535][4660] Loss_D: -0.058750 Loss_G: 0.037222 Loss_D_real: -0.043033 Loss_D_fake 0.015717
[49/5000][25/535][4661] Loss_D: -0.058597 Loss_G: 0.012074 Loss_D_real: -0.019906 Loss_D_fake 0.038691
[49/5000][30/535][4662] Loss_D: -0.057794 Loss_G: 0.035180 Loss_D_real: -0.039054 Loss_D_fake 0.018740
[49/5000][35/535][4663] Loss_D: -0.057519 Loss_G: 0.005683 Loss_D_real: -0.012829 Loss_D_fake 0.044689
[49/5000][40/535][4664] Loss_D: -0.056362 Loss_G: 0.047458 Loss_D_real: -0.044850 Loss_D_fake 0.011511
[49/5000][45/535][4665] Loss_D: -0.057935 Loss_G: 0.013815 Loss_D_real: -0.023019 Loss_D_fake 0.034917
[49/5000][50/535][4666] Loss_D: -0.058816 Loss_G: 0.034009 Loss_D_real: -0.045556 Loss_D_fake 0.013260
[49/5000][55/535][4667] Loss_D: -0.056702 Loss_G: 0.005676 Loss_D_real: -0.017994 Loss_D_fake 0.038708
[49/5000][60/535][4668] Loss_D: -0.060513 Loss_G: 0.031952 Loss_D_real: -0.033922 Loss_D_fake 0.026591
[49/5000][65/535][4669] Loss_D: -0.061198 Loss_G: 0.047169 Loss_D_real: -0.039311 Loss_D_fake 0.021887
[49/5000][70/535][4670] Loss_D: -0.059840 Loss_G: -0.000033 Loss_D_real: -0.015266 Loss_D_fake 0.044574
[49/5000][75/535][4671] Loss_D: -0.056313 Loss_G: 0.047358 Loss_D_real: -0.045594 Loss_D_fake 0.010719
[49/5000][80/535][4672] Loss_D: -0.055002 Loss_G: 0.006462 Loss_D_real: -0.009702 Loss_D_fake 0.045299
[49/5000][85/535][4673] Loss_D: -0.056924 Loss_G: 0.029601 Loss_D_real: -0.032994 Loss_D_fake 0.023929
[49/5000][90/535][4674] Loss_D: -0.059744 Loss_G: 0.029705 Loss_D_real: -0.030706 Loss_D_fake 0.029038
[49/5000][95/535][4675] Loss_D: -0.061882 Loss_G: 0.018659 Loss_D_real: -0.029195 Loss_D_fake 0.032687
[49/5000][100/535][4676] Loss_D: -0.056241 Loss_G: 0.049458 Loss_D_real: -0.055048 Loss_D_fake 0.001192
[49/5000][105/535][4677] Loss_D: -0.057424 Loss_G: 0.012804 Loss_D_real: -0.017692 Loss_D_fake 0.039733
[49/5000][110/535][4678] Loss_D: -0.056549 Loss_G: 0.058608 Loss_D_real: -0.052782 Loss_D_fake 0.003767
[49/5000][115/535][4679] Loss_D: -0.056107 Loss_G: -0.005973 Loss_D_real: -0.006188 Loss_D_fake 0.049919
[49/5000][120/535][4680] Loss_D: -0.058379 Loss_G: 0.039115 Loss_D_real: -0.043008 Loss_D_fake 0.015370
[49/5000][125/535][4681] Loss_D: -0.061410 Loss_G: 0.008044 Loss_D_real: -0.021118 Loss_D_fake 0.040292
[49/5000][130/535][4682] Loss_D: -0.059230 Loss_G: 0.045698 Loss_D_real: -0.049291 Loss_D_fake 0.009939
[49/5000][135/535][4683] Loss_D: -0.057755 Loss_G: 0.057826 Loss_D_real: -0.058568 Loss_D_fake -0.000813
[49/5000][140/535][4684] Loss_D: -0.062396 Loss_G: 0.011808 Loss_D_real: -0.025034 Loss_D_fake 0.037362
[49/5000][145/535][4685] Loss_D: -0.058641 Loss_G: 0.052912 Loss_D_real: -0.051017 Loss_D_fake 0.007624
[49/5000][150/535][4686] Loss_D: -0.064565 Loss_G: 0.028678 Loss_D_real: -0.033075 Loss_D_fake 0.031490
[49/5000][155/535][4687] Loss_D: -0.057276 Loss_G: 0.051243 Loss_D_real: -0.051893 Loss_D_fake 0.005384
[49/5000][160/535][4688] Loss_D: -0.059079 Loss_G: 0.011706 Loss_D_real: -0.020763 Loss_D_fake 0.038316
[49/5000][165/535][4689] Loss_D: -0.060067 Loss_G: 0.045319 Loss_D_real: -0.045739 Loss_D_fake 0.014328
[49/5000][170/535][4690] Loss_D: -0.060441 Loss_G: 0.012138 Loss_D_real: -0.021493 Loss_D_fake 0.038948
[49/5000][175/535][4691] Loss_D: -0.059604 Loss_G: 0.045777 Loss_D_real: -0.044298 Loss_D_fake 0.015306
[49/5000][180/535][4692] Loss_D: -0.061100 Loss_G: 0.017932 Loss_D_real: -0.027427 Loss_D_fake 0.033673
[49/5000][185/535][4693] Loss_D: -0.061330 Loss_G: 0.052689 Loss_D_real: -0.048166 Loss_D_fake 0.013164
[49/5000][190/535][4694] Loss_D: -0.062087 Loss_G: 0.031353 Loss_D_real: -0.033276 Loss_D_fake 0.028811
[49/5000][195/535][4695] Loss_D: -0.059150 Loss_G: 0.052399 Loss_D_real: -0.049911 Loss_D_fake 0.009239
[49/5000][200/535][4696] Loss_D: -0.060732 Loss_G: 0.013911 Loss_D_real: -0.022429 Loss_D_fake 0.038303
[49/5000][205/535][4697] Loss_D: -0.058228 Loss_G: 0.050479 Loss_D_real: -0.047152 Loss_D_fake 0.011076
[49/5000][210/535][4698] Loss_D: -0.056866 Loss_G: 0.012095 Loss_D_real: -0.021022 Loss_D_fake 0.035844
[49/5000][215/535][4699] Loss_D: -0.060015 Loss_G: 0.038510 Loss_D_real: -0.036205 Loss_D_fake 0.023810
[49/5000][220/535][4700] Loss_D: -0.060922 Loss_G: 0.024643 Loss_D_real: -0.028528 Loss_D_fake 0.032394
[49/5000][225/535][4701] Loss_D: -0.058871 Loss_G: 0.048799 Loss_D_real: -0.047458 Loss_D_fake 0.011413
[49/5000][230/535][4702] Loss_D: -0.058260 Loss_G: -0.005785 Loss_D_real: -0.007994 Loss_D_fake 0.050266
[49/5000][235/535][4703] Loss_D: -0.056946 Loss_G: 0.047948 Loss_D_real: -0.047166 Loss_D_fake 0.009780
[49/5000][240/535][4704] Loss_D: -0.058152 Loss_G: 0.017138 Loss_D_real: -0.023770 Loss_D_fake 0.034382
[49/5000][245/535][4705] Loss_D: -0.059617 Loss_G: 0.031155 Loss_D_real: -0.033613 Loss_D_fake 0.026004
[49/5000][250/535][4706] Loss_D: -0.056662 Loss_G: 0.002253 Loss_D_real: -0.012796 Loss_D_fake 0.043866
[49/5000][255/535][4707] Loss_D: -0.057168 Loss_G: 0.048479 Loss_D_real: -0.050465 Loss_D_fake 0.006703
[49/5000][260/535][4708] Loss_D: -0.060921 Loss_G: 0.017196 Loss_D_real: -0.025200 Loss_D_fake 0.035721
[49/5000][265/535][4709] Loss_D: -0.058026 Loss_G: 0.015558 Loss_D_real: -0.024587 Loss_D_fake 0.033439
[49/5000][270/535][4710] Loss_D: -0.054625 Loss_G: 0.058065 Loss_D_real: -0.057857 Loss_D_fake -0.003233
[49/5000][275/535][4711] Loss_D: -0.057873 Loss_G: 0.017719 Loss_D_real: -0.023411 Loss_D_fake 0.034461
[49/5000][280/535][4712] Loss_D: -0.056085 Loss_G: 0.045256 Loss_D_real: -0.046671 Loss_D_fake 0.009414
[49/5000][285/535][4713] Loss_D: -0.060321 Loss_G: 0.009119 Loss_D_real: -0.018524 Loss_D_fake 0.041797
[49/5000][290/535][4714] Loss_D: -0.060341 Loss_G: 0.039926 Loss_D_real: -0.041905 Loss_D_fake 0.018437
[49/5000][295/535][4715] Loss_D: -0.059158 Loss_G: 0.003934 Loss_D_real: -0.017259 Loss_D_fake 0.041899
[49/5000][300/535][4716] Loss_D: -0.056007 Loss_G: 0.047750 Loss_D_real: -0.046960 Loss_D_fake 0.009048
[49/5000][305/535][4717] Loss_D: -0.059950 Loss_G: 0.026223 Loss_D_real: -0.029981 Loss_D_fake 0.029968
[49/5000][310/535][4718] Loss_D: -0.060927 Loss_G: 0.024490 Loss_D_real: -0.032408 Loss_D_fake 0.028519
[49/5000][315/535][4719] Loss_D: -0.060466 Loss_G: 0.043778 Loss_D_real: -0.045423 Loss_D_fake 0.015043
[49/5000][320/535][4720] Loss_D: -0.059264 Loss_G: 0.006909 Loss_D_real: -0.017260 Loss_D_fake 0.042003
[49/5000][325/535][4721] Loss_D: -0.059770 Loss_G: 0.055578 Loss_D_real: -0.052630 Loss_D_fake 0.007140
[49/5000][330/535][4722] Loss_D: -0.058758 Loss_G: 0.014382 Loss_D_real: -0.025987 Loss_D_fake 0.032771
[49/5000][335/535][4723] Loss_D: -0.061088 Loss_G: 0.047207 Loss_D_real: -0.045911 Loss_D_fake 0.015176
[49/5000][340/535][4724] Loss_D: -0.061395 Loss_G: 0.020621 Loss_D_real: -0.027841 Loss_D_fake 0.033554
[49/5000][345/535][4725] Loss_D: -0.060489 Loss_G: 0.046626 Loss_D_real: -0.046038 Loss_D_fake 0.014451
[49/5000][350/535][4726] Loss_D: -0.059777 Loss_G: 0.045532 Loss_D_real: -0.045989 Loss_D_fake 0.013788
[49/5000][355/535][4727] Loss_D: -0.058809 Loss_G: 0.004806 Loss_D_real: -0.013888 Loss_D_fake 0.044921
[49/5000][360/535][4728] Loss_D: -0.057295 Loss_G: 0.045267 Loss_D_real: -0.044509 Loss_D_fake 0.012786
[49/5000][365/535][4729] Loss_D: -0.060942 Loss_G: 0.014217 Loss_D_real: -0.024097 Loss_D_fake 0.036845
[49/5000][370/535][4730] Loss_D: -0.056842 Loss_G: 0.007669 Loss_D_real: -0.016092 Loss_D_fake 0.040749
[49/5000][375/535][4731] Loss_D: -0.059155 Loss_G: 0.042723 Loss_D_real: -0.044510 Loss_D_fake 0.014645
[49/5000][380/535][4732] Loss_D: -0.058581 Loss_G: 0.026341 Loss_D_real: -0.028593 Loss_D_fake 0.029988
[49/5000][385/535][4733] Loss_D: -0.060119 Loss_G: 0.035280 Loss_D_real: -0.039347 Loss_D_fake 0.020771
[49/5000][390/535][4734] Loss_D: -0.062764 Loss_G: 0.004793 Loss_D_real: -0.022851 Loss_D_fake 0.039913
[49/5000][395/535][4735] Loss_D: -0.056764 Loss_G: 0.053697 Loss_D_real: -0.052030 Loss_D_fake 0.004734
[49/5000][400/535][4736] Loss_D: -0.058589 Loss_G: 0.005892 Loss_D_real: -0.019904 Loss_D_fake 0.038684
[49/5000][405/535][4737] Loss_D: -0.057187 Loss_G: 0.043619 Loss_D_real: -0.049422 Loss_D_fake 0.007765
[49/5000][410/535][4738] Loss_D: -0.058270 Loss_G: 0.025212 Loss_D_real: -0.032771 Loss_D_fake 0.025498
[49/5000][415/535][4739] Loss_D: -0.056693 Loss_G: 0.048322 Loss_D_real: -0.046665 Loss_D_fake 0.010029
[49/5000][420/535][4740] Loss_D: -0.056965 Loss_G: 0.000035 Loss_D_real: -0.013174 Loss_D_fake 0.043791
[49/5000][425/535][4741] Loss_D: -0.058809 Loss_G: 0.042735 Loss_D_real: -0.044264 Loss_D_fake 0.014544
[49/5000][430/535][4742] Loss_D: -0.061144 Loss_G: 0.013954 Loss_D_real: -0.024457 Loss_D_fake 0.036687
[49/5000][435/535][4743] Loss_D: -0.059768 Loss_G: 0.043240 Loss_D_real: -0.049479 Loss_D_fake 0.010289
[49/5000][440/535][4744] Loss_D: -0.058526 Loss_G: 0.019367 Loss_D_real: -0.026587 Loss_D_fake 0.031939
[49/5000][445/535][4745] Loss_D: -0.062356 Loss_G: 0.040825 Loss_D_real: -0.044407 Loss_D_fake 0.017949
[49/5000][450/535][4746] Loss_D: -0.060929 Loss_G: 0.027475 Loss_D_real: -0.027590 Loss_D_fake 0.033339
[49/5000][455/535][4747] Loss_D: -0.063228 Loss_G: 0.045166 Loss_D_real: -0.042836 Loss_D_fake 0.020392
[49/5000][460/535][4748] Loss_D: -0.061788 Loss_G: 0.009354 Loss_D_real: -0.016700 Loss_D_fake 0.045088
[49/5000][465/535][4749] Loss_D: -0.061073 Loss_G: 0.041206 Loss_D_real: -0.046881 Loss_D_fake 0.014192
[49/5000][470/535][4750] Loss_D: -0.061534 Loss_G: 0.017659 Loss_D_real: -0.025798 Loss_D_fake 0.035736
[49/5000][475/535][4751] Loss_D: -0.061979 Loss_G: 0.037188 Loss_D_real: -0.035775 Loss_D_fake 0.026203
[49/5000][480/535][4752] Loss_D: -0.058922 Loss_G: 0.016586 Loss_D_real: -0.021592 Loss_D_fake 0.037330
[49/5000][485/535][4753] Loss_D: -0.059772 Loss_G: 0.047512 Loss_D_real: -0.054211 Loss_D_fake 0.005561
[49/5000][490/535][4754] Loss_D: -0.058262 Loss_G: 0.011926 Loss_D_real: -0.020365 Loss_D_fake 0.037897
[49/5000][495/535][4755] Loss_D: -0.058733 Loss_G: 0.029977 Loss_D_real: -0.035324 Loss_D_fake 0.023409
[49/5000][500/535][4756] Loss_D: -0.058864 Loss_G: 0.029104 Loss_D_real: -0.034134 Loss_D_fake 0.024730
[49/5000][505/535][4757] Loss_D: -0.058434 Loss_G: 0.009369 Loss_D_real: -0.015941 Loss_D_fake 0.042493
[49/5000][510/535][4758] Loss_D: -0.057443 Loss_G: 0.049758 Loss_D_real: -0.048805 Loss_D_fake 0.008638
[49/5000][515/535][4759] Loss_D: -0.056868 Loss_G: 0.009008 Loss_D_real: -0.012967 Loss_D_fake 0.043901
[49/5000][520/535][4760] Loss_D: -0.057583 Loss_G: 0.034346 Loss_D_real: -0.035600 Loss_D_fake 0.021983
[49/5000][525/535][4761] Loss_D: -0.056242 Loss_G: 0.017182 Loss_D_real: -0.018402 Loss_D_fake 0.037840
[49/5000][530/535][4762] Loss_D: -0.059129 Loss_G: 0.038382 Loss_D_real: -0.041026 Loss_D_fake 0.018104
[49/5000][535/535][4763] Loss_D: -0.056436 Loss_G: 0.024042 Loss_D_real: -0.025353 Loss_D_fake 0.031083
[50/5000][5/535][4764] Loss_D: -0.060799 Loss_G: 0.029005 Loss_D_real: -0.034455 Loss_D_fake 0.026344
[50/5000][10/535][4765] Loss_D: -0.061745 Loss_G: 0.017763 Loss_D_real: -0.028441 Loss_D_fake 0.033304
[50/5000][15/535][4766] Loss_D: -0.059824 Loss_G: 0.039251 Loss_D_real: -0.040731 Loss_D_fake 0.019093
[50/5000][20/535][4767] Loss_D: -0.058121 Loss_G: 0.048309 Loss_D_real: -0.044539 Loss_D_fake 0.013582
[50/5000][25/535][4768] Loss_D: -0.053680 Loss_G: -0.002952 Loss_D_real: -0.006085 Loss_D_fake 0.047595
[50/5000][30/535][4769] Loss_D: -0.056050 Loss_G: 0.042129 Loss_D_real: -0.045745 Loss_D_fake 0.010305
[50/5000][35/535][4770] Loss_D: -0.055222 Loss_G: 0.029806 Loss_D_real: -0.028409 Loss_D_fake 0.026813
[50/5000][40/535][4771] Loss_D: -0.055112 Loss_G: 0.021123 Loss_D_real: -0.028196 Loss_D_fake 0.026916
[50/5000][45/535][4772] Loss_D: -0.056363 Loss_G: 0.034756 Loss_D_real: -0.035795 Loss_D_fake 0.020568
[50/5000][50/535][4773] Loss_D: -0.058942 Loss_G: 0.013239 Loss_D_real: -0.023542 Loss_D_fake 0.035400
[50/5000][55/535][4774] Loss_D: -0.058668 Loss_G: 0.037998 Loss_D_real: -0.037049 Loss_D_fake 0.021619
[50/5000][60/535][4775] Loss_D: -0.060487 Loss_G: 0.023544 Loss_D_real: -0.031854 Loss_D_fake 0.028632
[50/5000][65/535][4776] Loss_D: -0.054949 Loss_G: 0.066118 Loss_D_real: -0.060710 Loss_D_fake -0.005761
[50/5000][70/535][4777] Loss_D: -0.058993 Loss_G: 0.001955 Loss_D_real: -0.016149 Loss_D_fake 0.042844
[50/5000][75/535][4778] Loss_D: -0.055290 Loss_G: 0.051447 Loss_D_real: -0.053212 Loss_D_fake 0.002079
[50/5000][80/535][4779] Loss_D: -0.059831 Loss_G: 0.021902 Loss_D_real: -0.020575 Loss_D_fake 0.039256
[50/5000][85/535][4780] Loss_D: -0.061475 Loss_G: 0.058844 Loss_D_real: -0.050443 Loss_D_fake 0.011032
[50/5000][90/535][4781] Loss_D: -0.055066 Loss_G: -0.004549 Loss_D_real: -0.001511 Loss_D_fake 0.053555
[50/5000][95/535][4782] Loss_D: -0.058262 Loss_G: 0.029676 Loss_D_real: -0.036491 Loss_D_fake 0.021770
[50/5000][100/535][4783] Loss_D: -0.055830 Loss_G: 0.059778 Loss_D_real: -0.060924 Loss_D_fake -0.005095
[50/5000][105/535][4784] Loss_D: -0.062673 Loss_G: 0.031391 Loss_D_real: -0.032631 Loss_D_fake 0.030042
[50/5000][110/535][4785] Loss_D: -0.060708 Loss_G: 0.053895 Loss_D_real: -0.050610 Loss_D_fake 0.010098
[50/5000][115/535][4786] Loss_D: -0.061095 Loss_G: 0.007609 Loss_D_real: -0.016948 Loss_D_fake 0.044147
[50/5000][120/535][4787] Loss_D: -0.058614 Loss_G: 0.051980 Loss_D_real: -0.052423 Loss_D_fake 0.006191
[50/5000][125/535][4788] Loss_D: -0.060307 Loss_G: 0.034416 Loss_D_real: -0.031530 Loss_D_fake 0.028777
[50/5000][130/535][4789] Loss_D: -0.061929 Loss_G: 0.034206 Loss_D_real: -0.041180 Loss_D_fake 0.020749
[50/5000][135/535][4790] Loss_D: -0.060252 Loss_G: 0.049146 Loss_D_real: -0.044797 Loss_D_fake 0.015455
[50/5000][140/535][4791] Loss_D: -0.060474 Loss_G: 0.048295 Loss_D_real: -0.046754 Loss_D_fake 0.013720
[50/5000][145/535][4792] Loss_D: -0.059856 Loss_G: 0.014048 Loss_D_real: -0.022770 Loss_D_fake 0.037086
[50/5000][150/535][4793] Loss_D: -0.058379 Loss_G: 0.056386 Loss_D_real: -0.053416 Loss_D_fake 0.004963
[50/5000][155/535][4794] Loss_D: -0.058226 Loss_G: 0.018526 Loss_D_real: -0.022534 Loss_D_fake 0.035693
[50/5000][160/535][4795] Loss_D: -0.059865 Loss_G: 0.045285 Loss_D_real: -0.041060 Loss_D_fake 0.018805
[50/5000][165/535][4796] Loss_D: -0.056362 Loss_G: 0.019584 Loss_D_real: -0.022299 Loss_D_fake 0.034063
[50/5000][170/535][4797] Loss_D: -0.058772 Loss_G: 0.044000 Loss_D_real: -0.042107 Loss_D_fake 0.016665
[50/5000][175/535][4798] Loss_D: -0.059533 Loss_G: 0.006422 Loss_D_real: -0.017738 Loss_D_fake 0.041795
[50/5000][180/535][4799] Loss_D: -0.059042 Loss_G: 0.042703 Loss_D_real: -0.043617 Loss_D_fake 0.015426
[50/5000][185/535][4800] Loss_D: -0.060280 Loss_G: 0.015013 Loss_D_real: -0.027684 Loss_D_fake 0.032595
[50/5000][190/535][4801] Loss_D: -0.057596 Loss_G: 0.055189 Loss_D_real: -0.048914 Loss_D_fake 0.008681
[50/5000][195/535][4802] Loss_D: -0.057751 Loss_G: 0.021711 Loss_D_real: -0.026947 Loss_D_fake 0.030804
[50/5000][200/535][4803] Loss_D: -0.058070 Loss_G: 0.040628 Loss_D_real: -0.042885 Loss_D_fake 0.015185
[50/5000][205/535][4804] Loss_D: -0.058504 Loss_G: 0.007592 Loss_D_real: -0.020432 Loss_D_fake 0.038072
[50/5000][210/535][4805] Loss_D: -0.055785 Loss_G: 0.049021 Loss_D_real: -0.051238 Loss_D_fake 0.004548
[50/5000][215/535][4806] Loss_D: -0.058758 Loss_G: 0.006521 Loss_D_real: -0.014878 Loss_D_fake 0.043880
[50/5000][220/535][4807] Loss_D: -0.059291 Loss_G: 0.040374 Loss_D_real: -0.044866 Loss_D_fake 0.014426
[50/5000][225/535][4808] Loss_D: -0.057798 Loss_G: 0.024043 Loss_D_real: -0.027203 Loss_D_fake 0.030595
[50/5000][230/535][4809] Loss_D: -0.059528 Loss_G: 0.012852 Loss_D_real: -0.025677 Loss_D_fake 0.033851
[50/5000][235/535][4810] Loss_D: -0.062150 Loss_G: 0.035861 Loss_D_real: -0.038242 Loss_D_fake 0.023909
[50/5000][240/535][4811] Loss_D: -0.062460 Loss_G: 0.029268 Loss_D_real: -0.033113 Loss_D_fake 0.029347
[50/5000][245/535][4812] Loss_D: -0.061734 Loss_G: 0.040795 Loss_D_real: -0.038760 Loss_D_fake 0.022975
[50/5000][250/535][4813] Loss_D: -0.061044 Loss_G: 0.013931 Loss_D_real: -0.023768 Loss_D_fake 0.037276
[50/5000][255/535][4814] Loss_D: -0.060811 Loss_G: 0.053290 Loss_D_real: -0.048965 Loss_D_fake 0.011845
[50/5000][260/535][4815] Loss_D: -0.056138 Loss_G: -0.009519 Loss_D_real: -0.007919 Loss_D_fake 0.048219
[50/5000][265/535][4816] Loss_D: -0.055639 Loss_G: 0.049751 Loss_D_real: -0.049485 Loss_D_fake 0.006154
[50/5000][270/535][4817] Loss_D: -0.060699 Loss_G: 0.024249 Loss_D_real: -0.029537 Loss_D_fake 0.031162
[50/5000][275/535][4818] Loss_D: -0.060023 Loss_G: 0.050376 Loss_D_real: -0.040533 Loss_D_fake 0.019490
[50/5000][280/535][4819] Loss_D: -0.057024 Loss_G: 0.001454 Loss_D_real: -0.013434 Loss_D_fake 0.043590
[50/5000][285/535][4820] Loss_D: -0.057186 Loss_G: 0.053254 Loss_D_real: -0.048546 Loss_D_fake 0.008640
[50/5000][290/535][4821] Loss_D: -0.058289 Loss_G: 0.011965 Loss_D_real: -0.023364 Loss_D_fake 0.034925
[50/5000][295/535][4822] Loss_D: -0.056035 Loss_G: 0.047336 Loss_D_real: -0.048335 Loss_D_fake 0.007701
[50/5000][300/535][4823] Loss_D: -0.057409 Loss_G: 0.005412 Loss_D_real: -0.014220 Loss_D_fake 0.043190
[50/5000][305/535][4824] Loss_D: -0.055511 Loss_G: 0.041613 Loss_D_real: -0.047317 Loss_D_fake 0.008194
[50/5000][310/535][4825] Loss_D: -0.058465 Loss_G: 0.021887 Loss_D_real: -0.024445 Loss_D_fake 0.034019
[50/5000][315/535][4826] Loss_D: -0.060710 Loss_G: 0.037626 Loss_D_real: -0.036316 Loss_D_fake 0.024394
[50/5000][320/535][4827] Loss_D: -0.060258 Loss_G: 0.014837 Loss_D_real: -0.020814 Loss_D_fake 0.039444
[50/5000][325/535][4828] Loss_D: -0.060084 Loss_G: 0.044873 Loss_D_real: -0.046702 Loss_D_fake 0.013382
[50/5000][330/535][4829] Loss_D: -0.056467 Loss_G: 0.008927 Loss_D_real: -0.013391 Loss_D_fake 0.043076
[50/5000][335/535][4830] Loss_D: -0.059022 Loss_G: 0.019972 Loss_D_real: -0.026568 Loss_D_fake 0.032454
[50/5000][340/535][4831] Loss_D: -0.059126 Loss_G: 0.051104 Loss_D_real: -0.048579 Loss_D_fake 0.010547
[50/5000][345/535][4832] Loss_D: -0.058383 Loss_G: 0.013616 Loss_D_real: -0.019580 Loss_D_fake 0.038803
[50/5000][350/535][4833] Loss_D: -0.055837 Loss_G: 0.051024 Loss_D_real: -0.054598 Loss_D_fake 0.001239
[50/5000][355/535][4834] Loss_D: -0.059305 Loss_G: 0.030690 Loss_D_real: -0.033745 Loss_D_fake 0.025559
[50/5000][360/535][4835] Loss_D: -0.059855 Loss_G: 0.044956 Loss_D_real: -0.041587 Loss_D_fake 0.018268
[50/5000][365/535][4836] Loss_D: -0.060257 Loss_G: 0.045241 Loss_D_real: -0.040130 Loss_D_fake 0.020127
[50/5000][370/535][4837] Loss_D: -0.059404 Loss_G: 0.012367 Loss_D_real: -0.024443 Loss_D_fake 0.034961
[50/5000][375/535][4838] Loss_D: -0.058146 Loss_G: 0.050549 Loss_D_real: -0.052844 Loss_D_fake 0.005302
[50/5000][380/535][4839] Loss_D: -0.058639 Loss_G: 0.001453 Loss_D_real: -0.011411 Loss_D_fake 0.047228
[50/5000][385/535][4840] Loss_D: -0.057657 Loss_G: 0.045460 Loss_D_real: -0.049682 Loss_D_fake 0.007975
[50/5000][390/535][4841] Loss_D: -0.059886 Loss_G: 0.024050 Loss_D_real: -0.024422 Loss_D_fake 0.035464
[50/5000][395/535][4842] Loss_D: -0.060106 Loss_G: 0.039007 Loss_D_real: -0.044112 Loss_D_fake 0.015994
[50/5000][400/535][4843] Loss_D: -0.059900 Loss_G: 0.027275 Loss_D_real: -0.033605 Loss_D_fake 0.026295
[50/5000][405/535][4844] Loss_D: -0.060942 Loss_G: 0.057693 Loss_D_real: -0.054764 Loss_D_fake 0.006178
[50/5000][410/535][4845] Loss_D: -0.059297 Loss_G: 0.016050 Loss_D_real: -0.024974 Loss_D_fake 0.034323
[50/5000][415/535][4846] Loss_D: -0.058363 Loss_G: 0.041674 Loss_D_real: -0.043601 Loss_D_fake 0.014762
[50/5000][420/535][4847] Loss_D: -0.058879 Loss_G: 0.034942 Loss_D_real: -0.035901 Loss_D_fake 0.022978
[50/5000][425/535][4848] Loss_D: -0.059710 Loss_G: 0.016358 Loss_D_real: -0.022836 Loss_D_fake 0.036874
[50/5000][430/535][4849] Loss_D: -0.057458 Loss_G: 0.051641 Loss_D_real: -0.050374 Loss_D_fake 0.007083
[50/5000][435/535][4850] Loss_D: -0.057076 Loss_G: 0.006490 Loss_D_real: -0.015143 Loss_D_fake 0.041934
[50/5000][440/535][4851] Loss_D: -0.057582 Loss_G: 0.045840 Loss_D_real: -0.048457 Loss_D_fake 0.009125
[50/5000][445/535][4852] Loss_D: -0.057602 Loss_G: 0.037100 Loss_D_real: -0.036103 Loss_D_fake 0.021499
[50/5000][450/535][4853] Loss_D: -0.057960 Loss_G: 0.036761 Loss_D_real: -0.038950 Loss_D_fake 0.019011
[50/5000][455/535][4854] Loss_D: -0.056850 Loss_G: 0.000505 Loss_D_real: -0.012383 Loss_D_fake 0.044468
[50/5000][460/535][4855] Loss_D: -0.058704 Loss_G: 0.046272 Loss_D_real: -0.051438 Loss_D_fake 0.007267
[50/5000][465/535][4856] Loss_D: -0.061712 Loss_G: 0.017285 Loss_D_real: -0.028529 Loss_D_fake 0.033184
[50/5000][470/535][4857] Loss_D: -0.060345 Loss_G: 0.024112 Loss_D_real: -0.034006 Loss_D_fake 0.026339
[50/5000][475/535][4858] Loss_D: -0.061810 Loss_G: 0.046650 Loss_D_real: -0.046783 Loss_D_fake 0.015027
[50/5000][480/535][4859] Loss_D: -0.058896 Loss_G: 0.021575 Loss_D_real: -0.022684 Loss_D_fake 0.036212
[50/5000][485/535][4860] Loss_D: -0.060403 Loss_G: 0.043532 Loss_D_real: -0.043116 Loss_D_fake 0.017287
[50/5000][490/535][4861] Loss_D: -0.059135 Loss_G: 0.003020 Loss_D_real: -0.014651 Loss_D_fake 0.044483
[50/5000][495/535][4862] Loss_D: -0.062084 Loss_G: 0.046977 Loss_D_real: -0.049464 Loss_D_fake 0.012620
[50/5000][500/535][4863] Loss_D: -0.060738 Loss_G: 0.009168 Loss_D_real: -0.016292 Loss_D_fake 0.044446
[50/5000][505/535][4864] Loss_D: -0.060822 Loss_G: 0.030503 Loss_D_real: -0.040560 Loss_D_fake 0.020262
[50/5000][510/535][4865] Loss_D: -0.058860 Loss_G: 0.027200 Loss_D_real: -0.025906 Loss_D_fake 0.032955
[50/5000][515/535][4866] Loss_D: -0.062660 Loss_G: 0.039969 Loss_D_real: -0.037994 Loss_D_fake 0.024666
[50/5000][520/535][4867] Loss_D: -0.059947 Loss_G: 0.009277 Loss_D_real: -0.025393 Loss_D_fake 0.034554
[50/5000][525/535][4868] Loss_D: -0.058023 Loss_G: 0.035705 Loss_D_real: -0.046792 Loss_D_fake 0.011231
[50/5000][530/535][4869] Loss_D: -0.056713 Loss_G: 0.020584 Loss_D_real: -0.020557 Loss_D_fake 0.036156
[50/5000][535/535][4870] Loss_D: -0.060012 Loss_G: 0.017888 Loss_D_real: -0.030299 Loss_D_fake 0.029713
[51/5000][5/535][4871] Loss_D: -0.059567 Loss_G: 0.038493 Loss_D_real: -0.036642 Loss_D_fake 0.022925
[51/5000][10/535][4872] Loss_D: -0.058244 Loss_G: 0.023117 Loss_D_real: -0.029719 Loss_D_fake 0.028524
[51/5000][15/535][4873] Loss_D: -0.061102 Loss_G: 0.040888 Loss_D_real: -0.043104 Loss_D_fake 0.017998
[51/5000][20/535][4874] Loss_D: -0.059185 Loss_G: -0.000663 Loss_D_real: -0.014007 Loss_D_fake 0.045178
[51/5000][25/535][4875] Loss_D: -0.056603 Loss_G: 0.050976 Loss_D_real: -0.053793 Loss_D_fake 0.002810
[51/5000][30/535][4876] Loss_D: -0.059518 Loss_G: 0.021665 Loss_D_real: -0.023210 Loss_D_fake 0.036309
[51/5000][35/535][4877] Loss_D: -0.059878 Loss_G: 0.027359 Loss_D_real: -0.033050 Loss_D_fake 0.026828
[51/5000][40/535][4878] Loss_D: -0.059056 Loss_G: 0.052384 Loss_D_real: -0.053743 Loss_D_fake 0.005313
[51/5000][45/535][4879] Loss_D: -0.061446 Loss_G: 0.007017 Loss_D_real: -0.023216 Loss_D_fake 0.038230
[51/5000][50/535][4880] Loss_D: -0.056891 Loss_G: 0.062301 Loss_D_real: -0.061674 Loss_D_fake -0.004783
[51/5000][55/535][4881] Loss_D: -0.058843 Loss_G: 0.013822 Loss_D_real: -0.026357 Loss_D_fake 0.032485
[51/5000][60/535][4882] Loss_D: -0.057788 Loss_G: 0.035752 Loss_D_real: -0.035297 Loss_D_fake 0.022491
[51/5000][65/535][4883] Loss_D: -0.058320 Loss_G: 0.038619 Loss_D_real: -0.039380 Loss_D_fake 0.018940
[51/5000][70/535][4884] Loss_D: -0.060113 Loss_G: 0.027458 Loss_D_real: -0.032677 Loss_D_fake 0.027436
[51/5000][75/535][4885] Loss_D: -0.061423 Loss_G: 0.039273 Loss_D_real: -0.037905 Loss_D_fake 0.023518
[51/5000][80/535][4886] Loss_D: -0.059895 Loss_G: 0.020199 Loss_D_real: -0.026641 Loss_D_fake 0.033255
[51/5000][85/535][4887] Loss_D: -0.060174 Loss_G: 0.049288 Loss_D_real: -0.042423 Loss_D_fake 0.017752
[51/5000][90/535][4888] Loss_D: -0.059340 Loss_G: 0.035463 Loss_D_real: -0.033146 Loss_D_fake 0.026194
[51/5000][95/535][4889] Loss_D: -0.060854 Loss_G: 0.052710 Loss_D_real: -0.049195 Loss_D_fake 0.011659
[51/5000][100/535][4890] Loss_D: -0.057649 Loss_G: 0.003108 Loss_D_real: -0.012379 Loss_D_fake 0.045270
[51/5000][105/535][4891] Loss_D: -0.056368 Loss_G: 0.047067 Loss_D_real: -0.047105 Loss_D_fake 0.009263
[51/5000][110/535][4892] Loss_D: -0.058576 Loss_G: 0.042520 Loss_D_real: -0.037627 Loss_D_fake 0.020949
[51/5000][115/535][4893] Loss_D: -0.061735 Loss_G: 0.026460 Loss_D_real: -0.029144 Loss_D_fake 0.032590
[51/5000][120/535][4894] Loss_D: -0.060878 Loss_G: 0.045447 Loss_D_real: -0.040562 Loss_D_fake 0.020316
[51/5000][125/535][4895] Loss_D: -0.058426 Loss_G: 0.012253 Loss_D_real: -0.021305 Loss_D_fake 0.037121
[51/5000][130/535][4896] Loss_D: -0.055782 Loss_G: 0.058577 Loss_D_real: -0.063111 Loss_D_fake -0.007329
[51/5000][135/535][4897] Loss_D: -0.055147 Loss_G: 0.002160 Loss_D_real: -0.009986 Loss_D_fake 0.045161
[51/5000][140/535][4898] Loss_D: -0.055416 Loss_G: 0.040084 Loss_D_real: -0.048211 Loss_D_fake 0.007205
[51/5000][145/535][4899] Loss_D: -0.058588 Loss_G: 0.012672 Loss_D_real: -0.025653 Loss_D_fake 0.032936
[51/5000][150/535][4900] Loss_D: -0.058840 Loss_G: 0.044391 Loss_D_real: -0.047913 Loss_D_fake 0.010927
[51/5000][155/535][4901] Loss_D: -0.059769 Loss_G: 0.022011 Loss_D_real: -0.028752 Loss_D_fake 0.031017
[51/5000][160/535][4902] Loss_D: -0.056684 Loss_G: 0.041596 Loss_D_real: -0.036441 Loss_D_fake 0.020244
[51/5000][165/535][4903] Loss_D: -0.057897 Loss_G: 0.013064 Loss_D_real: -0.020517 Loss_D_fake 0.037380
[51/5000][170/535][4904] Loss_D: -0.058232 Loss_G: 0.046574 Loss_D_real: -0.045651 Loss_D_fake 0.012582
[51/5000][175/535][4905] Loss_D: -0.056935 Loss_G: 0.006674 Loss_D_real: -0.013499 Loss_D_fake 0.043435
[51/5000][180/535][4906] Loss_D: -0.057575 Loss_G: 0.027366 Loss_D_real: -0.032143 Loss_D_fake 0.025432
[51/5000][185/535][4907] Loss_D: -0.058953 Loss_G: 0.027521 Loss_D_real: -0.033050 Loss_D_fake 0.025903
[51/5000][190/535][4908] Loss_D: -0.058729 Loss_G: 0.045328 Loss_D_real: -0.046677 Loss_D_fake 0.012052
[51/5000][195/535][4909] Loss_D: -0.060111 Loss_G: 0.033305 Loss_D_real: -0.037130 Loss_D_fake 0.022981
[51/5000][200/535][4910] Loss_D: -0.060873 Loss_G: 0.029284 Loss_D_real: -0.035164 Loss_D_fake 0.025709
[51/5000][205/535][4911] Loss_D: -0.058679 Loss_G: 0.020550 Loss_D_real: -0.028848 Loss_D_fake 0.029831
[51/5000][210/535][4912] Loss_D: -0.054824 Loss_G: 0.062704 Loss_D_real: -0.060582 Loss_D_fake -0.005758
[51/5000][215/535][4913] Loss_D: -0.057327 Loss_G: 0.012710 Loss_D_real: -0.017787 Loss_D_fake 0.039540
[51/5000][220/535][4914] Loss_D: -0.057232 Loss_G: 0.044877 Loss_D_real: -0.044263 Loss_D_fake 0.012968
[51/5000][225/535][4915] Loss_D: -0.062080 Loss_G: 0.021771 Loss_D_real: -0.030222 Loss_D_fake 0.031859
[51/5000][230/535][4916] Loss_D: -0.060935 Loss_G: 0.053226 Loss_D_real: -0.051950 Loss_D_fake 0.008985
[51/5000][235/535][4917] Loss_D: -0.056414 Loss_G: 0.053310 Loss_D_real: -0.048763 Loss_D_fake 0.007651
[51/5000][240/535][4918] Loss_D: -0.058449 Loss_G: 0.013618 Loss_D_real: -0.021094 Loss_D_fake 0.037355
[51/5000][245/535][4919] Loss_D: -0.058762 Loss_G: 0.049121 Loss_D_real: -0.048153 Loss_D_fake 0.010609
[51/5000][250/535][4920] Loss_D: -0.059892 Loss_G: 0.017248 Loss_D_real: -0.024088 Loss_D_fake 0.035804
[51/5000][255/535][4921] Loss_D: -0.058232 Loss_G: 0.057550 Loss_D_real: -0.053344 Loss_D_fake 0.004888
[51/5000][260/535][4922] Loss_D: -0.054736 Loss_G: -0.006425 Loss_D_real: -0.007953 Loss_D_fake 0.046782
[51/5000][265/535][4923] Loss_D: -0.055882 Loss_G: 0.037922 Loss_D_real: -0.039360 Loss_D_fake 0.016522
[51/5000][270/535][4924] Loss_D: -0.059232 Loss_G: 0.013230 Loss_D_real: -0.025306 Loss_D_fake 0.033927
[51/5000][275/535][4925] Loss_D: -0.059061 Loss_G: 0.052389 Loss_D_real: -0.045881 Loss_D_fake 0.013180
[51/5000][280/535][4926] Loss_D: -0.059008 Loss_G: 0.017966 Loss_D_real: -0.027658 Loss_D_fake 0.031351
[51/5000][285/535][4927] Loss_D: -0.059427 Loss_G: 0.047804 Loss_D_real: -0.044987 Loss_D_fake 0.014440
[51/5000][290/535][4928] Loss_D: -0.057730 Loss_G: 0.015389 Loss_D_real: -0.018617 Loss_D_fake 0.039113
[51/5000][295/535][4929] Loss_D: -0.059354 Loss_G: 0.043114 Loss_D_real: -0.047482 Loss_D_fake 0.011873
[51/5000][300/535][4930] Loss_D: -0.060317 Loss_G: 0.040553 Loss_D_real: -0.038918 Loss_D_fake 0.021400
[51/5000][305/535][4931] Loss_D: -0.061159 Loss_G: 0.035978 Loss_D_real: -0.040212 Loss_D_fake 0.020947
[51/5000][310/535][4932] Loss_D: -0.061394 Loss_G: 0.047458 Loss_D_real: -0.045635 Loss_D_fake 0.015759
[51/5000][315/535][4933] Loss_D: -0.058271 Loss_G: -0.006976 Loss_D_real: -0.007694 Loss_D_fake 0.050577
[51/5000][320/535][4934] Loss_D: -0.056636 Loss_G: 0.051359 Loss_D_real: -0.049012 Loss_D_fake 0.007624
[51/5000][325/535][4935] Loss_D: -0.059499 Loss_G: 0.020814 Loss_D_real: -0.025167 Loss_D_fake 0.034332
[51/5000][330/535][4936] Loss_D: -0.058792 Loss_G: 0.042831 Loss_D_real: -0.043970 Loss_D_fake 0.014823
[51/5000][335/535][4937] Loss_D: -0.056749 Loss_G: 0.023845 Loss_D_real: -0.029497 Loss_D_fake 0.027252
[51/5000][340/535][4938] Loss_D: -0.059750 Loss_G: 0.047774 Loss_D_real: -0.045082 Loss_D_fake 0.014668
[51/5000][345/535][4939] Loss_D: -0.059711 Loss_G: 0.035306 Loss_D_real: -0.038847 Loss_D_fake 0.020865
[51/5000][350/535][4940] Loss_D: -0.060395 Loss_G: 0.042473 Loss_D_real: -0.040318 Loss_D_fake 0.020077
[51/5000][355/535][4941] Loss_D: -0.057985 Loss_G: 0.017577 Loss_D_real: -0.025384 Loss_D_fake 0.032600
[51/5000][360/535][4942] Loss_D: -0.056312 Loss_G: 0.054356 Loss_D_real: -0.055642 Loss_D_fake 0.000670
[51/5000][365/535][4943] Loss_D: -0.054912 Loss_G: -0.005435 Loss_D_real: -0.007320 Loss_D_fake 0.047592
[51/5000][370/535][4944] Loss_D: -0.056640 Loss_G: 0.041925 Loss_D_real: -0.042579 Loss_D_fake 0.014062
[51/5000][375/535][4945] Loss_D: -0.057985 Loss_G: 0.044685 Loss_D_real: -0.041515 Loss_D_fake 0.016470
[51/5000][380/535][4946] Loss_D: -0.059948 Loss_G: 0.057477 Loss_D_real: -0.052915 Loss_D_fake 0.007033
[51/5000][385/535][4947] Loss_D: -0.058012 Loss_G: 0.009909 Loss_D_real: -0.013811 Loss_D_fake 0.044201
[51/5000][390/535][4948] Loss_D: -0.058815 Loss_G: 0.051123 Loss_D_real: -0.052759 Loss_D_fake 0.006056
[51/5000][395/535][4949] Loss_D: -0.056167 Loss_G: 0.010778 Loss_D_real: -0.017191 Loss_D_fake 0.038976
[51/5000][400/535][4950] Loss_D: -0.057727 Loss_G: 0.041430 Loss_D_real: -0.040879 Loss_D_fake 0.016847
[51/5000][405/535][4951] Loss_D: -0.059492 Loss_G: 0.014106 Loss_D_real: -0.022338 Loss_D_fake 0.037154
[51/5000][410/535][4952] Loss_D: -0.059543 Loss_G: 0.042411 Loss_D_real: -0.044927 Loss_D_fake 0.014616
[51/5000][415/535][4953] Loss_D: -0.060408 Loss_G: 0.033274 Loss_D_real: -0.031934 Loss_D_fake 0.028474
[51/5000][420/535][4954] Loss_D: -0.060327 Loss_G: 0.022279 Loss_D_real: -0.026544 Loss_D_fake 0.033782
[51/5000][425/535][4955] Loss_D: -0.059099 Loss_G: 0.040927 Loss_D_real: -0.041426 Loss_D_fake 0.017673
[51/5000][430/535][4956] Loss_D: -0.060133 Loss_G: 0.013807 Loss_D_real: -0.024179 Loss_D_fake 0.035954
[51/5000][435/535][4957] Loss_D: -0.062044 Loss_G: 0.035524 Loss_D_real: -0.036415 Loss_D_fake 0.025630
[51/5000][440/535][4958] Loss_D: -0.059341 Loss_G: -0.003072 Loss_D_real: -0.014295 Loss_D_fake 0.045046
[51/5000][445/535][4959] Loss_D: -0.059545 Loss_G: 0.058058 Loss_D_real: -0.052022 Loss_D_fake 0.007523
[51/5000][450/535][4960] Loss_D: -0.056483 Loss_G: 0.003468 Loss_D_real: -0.011476 Loss_D_fake 0.045007
[51/5000][455/535][4961] Loss_D: -0.057942 Loss_G: 0.037571 Loss_D_real: -0.041768 Loss_D_fake 0.016175
[51/5000][460/535][4962] Loss_D: -0.059753 Loss_G: 0.031184 Loss_D_real: -0.033135 Loss_D_fake 0.026618
[51/5000][465/535][4963] Loss_D: -0.060660 Loss_G: 0.025700 Loss_D_real: -0.036539 Loss_D_fake 0.024121
[51/5000][470/535][4964] Loss_D: -0.060840 Loss_G: 0.043719 Loss_D_real: -0.046015 Loss_D_fake 0.014825
[51/5000][475/535][4965] Loss_D: -0.060248 Loss_G: 0.044171 Loss_D_real: -0.042761 Loss_D_fake 0.017487
[51/5000][480/535][4966] Loss_D: -0.058959 Loss_G: 0.007392 Loss_D_real: -0.014543 Loss_D_fake 0.044416
[51/5000][485/535][4967] Loss_D: -0.059208 Loss_G: 0.046633 Loss_D_real: -0.047029 Loss_D_fake 0.012179
[51/5000][490/535][4968] Loss_D: -0.059246 Loss_G: 0.013587 Loss_D_real: -0.021258 Loss_D_fake 0.037988
[51/5000][495/535][4969] Loss_D: -0.060445 Loss_G: 0.038661 Loss_D_real: -0.046139 Loss_D_fake 0.014306
[51/5000][500/535][4970] Loss_D: -0.057861 Loss_G: 0.018824 Loss_D_real: -0.025655 Loss_D_fake 0.032206
[51/5000][505/535][4971] Loss_D: -0.059945 Loss_G: 0.038482 Loss_D_real: -0.038751 Loss_D_fake 0.021194
[51/5000][510/535][4972] Loss_D: -0.058661 Loss_G: 0.024127 Loss_D_real: -0.035240 Loss_D_fake 0.023422
[51/5000][515/535][4973] Loss_D: -0.057350 Loss_G: 0.038177 Loss_D_real: -0.038071 Loss_D_fake 0.019279
[51/5000][520/535][4974] Loss_D: -0.057537 Loss_G: 0.003341 Loss_D_real: -0.012215 Loss_D_fake 0.045322
[51/5000][525/535][4975] Loss_D: -0.054294 Loss_G: 0.054204 Loss_D_real: -0.054381 Loss_D_fake -0.000087
[51/5000][530/535][4976] Loss_D: -0.060284 Loss_G: 0.008760 Loss_D_real: -0.020284 Loss_D_fake 0.039999
[51/5000][535/535][4977] Loss_D: -0.051502 Loss_G: 0.037373 Loss_D_real: -0.034124 Loss_D_fake 0.017378
[52/5000][5/535][4978] Loss_D: -0.062800 Loss_G: 0.031486 Loss_D_real: -0.030358 Loss_D_fake 0.032442
[52/5000][10/535][4979] Loss_D: -0.060105 Loss_G: 0.063694 Loss_D_real: -0.057859 Loss_D_fake 0.002246
[52/5000][15/535][4980] Loss_D: -0.057885 Loss_G: 0.004536 Loss_D_real: -0.018917 Loss_D_fake 0.038968
[52/5000][20/535][4981] Loss_D: -0.056295 Loss_G: 0.042016 Loss_D_real: -0.039788 Loss_D_fake 0.016507
[52/5000][25/535][4982] Loss_D: -0.057711 Loss_G: 0.030381 Loss_D_real: -0.030689 Loss_D_fake 0.027022
[52/5000][30/535][4983] Loss_D: -0.060676 Loss_G: 0.051218 Loss_D_real: -0.043372 Loss_D_fake 0.017304
[52/5000][35/535][4984] Loss_D: -0.061895 Loss_G: 0.013176 Loss_D_real: -0.024591 Loss_D_fake 0.037304
[52/5000][40/535][4985] Loss_D: -0.056227 Loss_G: 0.054779 Loss_D_real: -0.057845 Loss_D_fake -0.001617
[52/5000][45/535][4986] Loss_D: -0.057440 Loss_G: -0.005280 Loss_D_real: -0.006616 Loss_D_fake 0.050824
[52/5000][50/535][4987] Loss_D: -0.056729 Loss_G: 0.040014 Loss_D_real: -0.042545 Loss_D_fake 0.014185
[52/5000][55/535][4988] Loss_D: -0.060020 Loss_G: 0.029481 Loss_D_real: -0.031717 Loss_D_fake 0.028303
[52/5000][60/535][4989] Loss_D: -0.059306 Loss_G: 0.046551 Loss_D_real: -0.045943 Loss_D_fake 0.013362
[52/5000][65/535][4990] Loss_D: -0.058480 Loss_G: 0.041795 Loss_D_real: -0.045446 Loss_D_fake 0.013034
[52/5000][70/535][4991] Loss_D: -0.059783 Loss_G: 0.015771 Loss_D_real: -0.022264 Loss_D_fake 0.037518
[52/5000][75/535][4992] Loss_D: -0.057312 Loss_G: 0.056819 Loss_D_real: -0.052225 Loss_D_fake 0.005088
[52/5000][80/535][4993] Loss_D: -0.059637 Loss_G: 0.010584 Loss_D_real: -0.022759 Loss_D_fake 0.036877
[52/5000][85/535][4994] Loss_D: -0.057487 Loss_G: 0.048197 Loss_D_real: -0.047881 Loss_D_fake 0.009605
[52/5000][90/535][4995] Loss_D: -0.059609 Loss_G: 0.004028 Loss_D_real: -0.019284 Loss_D_fake 0.040325
[52/5000][95/535][4996] Loss_D: -0.058717 Loss_G: 0.034558 Loss_D_real: -0.040174 Loss_D_fake 0.018543
[52/5000][100/535][4997] Loss_D: -0.058496 Loss_G: 0.037907 Loss_D_real: -0.035902 Loss_D_fake 0.022593
[52/5000][105/535][4998] Loss_D: -0.058562 Loss_G: 0.016277 Loss_D_real: -0.024042 Loss_D_fake 0.034519
[52/5000][110/535][4999] Loss_D: -0.057546 Loss_G: 0.040209 Loss_D_real: -0.043859 Loss_D_fake 0.013687
[52/5000][115/535][5000] Loss_D: -0.057513 Loss_G: 0.000493 Loss_D_real: -0.011203 Loss_D_fake 0.046310
[52/5000][215/535][5001] Loss_D: -0.061202 Loss_G: 0.049263 Loss_D_real: -0.047683 Loss_D_fake 0.013519
[52/5000][220/535][5002] Loss_D: -0.061841 Loss_G: 0.054359 Loss_D_real: -0.047473 Loss_D_fake 0.014368
[52/5000][225/535][5003] Loss_D: -0.056536 Loss_G: 0.014512 Loss_D_real: -0.020873 Loss_D_fake 0.035663
[52/5000][230/535][5004] Loss_D: -0.055660 Loss_G: 0.050109 Loss_D_real: -0.050046 Loss_D_fake 0.005614
[52/5000][235/535][5005] Loss_D: -0.057508 Loss_G: 0.042106 Loss_D_real: -0.042692 Loss_D_fake 0.014816
[52/5000][240/535][5006] Loss_D: -0.063025 Loss_G: 0.040344 Loss_D_real: -0.038930 Loss_D_fake 0.024095
[52/5000][245/535][5007] Loss_D: -0.059808 Loss_G: 0.014740 Loss_D_real: -0.024382 Loss_D_fake 0.035426
[52/5000][250/535][5008] Loss_D: -0.057076 Loss_G: 0.049595 Loss_D_real: -0.052527 Loss_D_fake 0.004549
[52/5000][255/535][5009] Loss_D: -0.060675 Loss_G: 0.002799 Loss_D_real: -0.017957 Loss_D_fake 0.042718
[52/5000][260/535][5010] Loss_D: -0.058146 Loss_G: 0.047484 Loss_D_real: -0.052816 Loss_D_fake 0.005330
[52/5000][265/535][5011] Loss_D: -0.059378 Loss_G: 0.019270 Loss_D_real: -0.028264 Loss_D_fake 0.031115
[52/5000][270/535][5012] Loss_D: -0.058101 Loss_G: 0.038664 Loss_D_real: -0.034061 Loss_D_fake 0.024040
[52/5000][275/535][5013] Loss_D: -0.056109 Loss_G: 0.005627 Loss_D_real: -0.016539 Loss_D_fake 0.039570
[52/5000][280/535][5014] Loss_D: -0.059301 Loss_G: 0.044151 Loss_D_real: -0.041017 Loss_D_fake 0.018284
[52/5000][285/535][5015] Loss_D: -0.059876 Loss_G: 0.039775 Loss_D_real: -0.037274 Loss_D_fake 0.022602
[52/5000][290/535][5016] Loss_D: -0.061978 Loss_G: 0.043606 Loss_D_real: -0.040295 Loss_D_fake 0.021683
[52/5000][295/535][5017] Loss_D: -0.060844 Loss_G: 0.040386 Loss_D_real: -0.039910 Loss_D_fake 0.020933
[52/5000][300/535][5018] Loss_D: -0.057748 Loss_G: 0.019878 Loss_D_real: -0.027648 Loss_D_fake 0.030100
[52/5000][305/535][5019] Loss_D: -0.055542 Loss_G: 0.057230 Loss_D_real: -0.058026 Loss_D_fake -0.002483
[52/5000][310/535][5020] Loss_D: -0.059145 Loss_G: 0.000327 Loss_D_real: -0.012267 Loss_D_fake 0.046878
[52/5000][315/535][5021] Loss_D: -0.056619 Loss_G: 0.045052 Loss_D_real: -0.053757 Loss_D_fake 0.002862
[52/5000][320/535][5022] Loss_D: -0.060056 Loss_G: 0.025496 Loss_D_real: -0.029966 Loss_D_fake 0.030090
[52/5000][325/535][5023] Loss_D: -0.058123 Loss_G: 0.044818 Loss_D_real: -0.045012 Loss_D_fake 0.013111
[52/5000][330/535][5024] Loss_D: -0.059985 Loss_G: 0.025196 Loss_D_real: -0.028979 Loss_D_fake 0.031006
[52/5000][335/535][5025] Loss_D: -0.058747 Loss_G: 0.008095 Loss_D_real: -0.020454 Loss_D_fake 0.038293
[52/5000][340/535][5026] Loss_D: -0.056131 Loss_G: 0.046093 Loss_D_real: -0.046982 Loss_D_fake 0.009149
[52/5000][345/535][5027] Loss_D: -0.057742 Loss_G: 0.006057 Loss_D_real: -0.015682 Loss_D_fake 0.042060
[52/5000][350/535][5028] Loss_D: -0.059535 Loss_G: 0.046626 Loss_D_real: -0.048086 Loss_D_fake 0.011450
[52/5000][355/535][5029] Loss_D: -0.059716 Loss_G: 0.023628 Loss_D_real: -0.030823 Loss_D_fake 0.028893
[52/5000][360/535][5030] Loss_D: -0.058330 Loss_G: 0.009553 Loss_D_real: -0.021716 Loss_D_fake 0.036614
[52/5000][365/535][5031] Loss_D: -0.057159 Loss_G: 0.047040 Loss_D_real: -0.044249 Loss_D_fake 0.012910
[52/5000][370/535][5032] Loss_D: -0.060387 Loss_G: 0.019099 Loss_D_real: -0.026661 Loss_D_fake 0.033726
[52/5000][375/535][5033] Loss_D: -0.056412 Loss_G: 0.046746 Loss_D_real: -0.047958 Loss_D_fake 0.008454
[52/5000][380/535][5034] Loss_D: -0.060904 Loss_G: 0.037210 Loss_D_real: -0.039847 Loss_D_fake 0.021056
[52/5000][385/535][5035] Loss_D: -0.060544 Loss_G: 0.033046 Loss_D_real: -0.035093 Loss_D_fake 0.025452
[52/5000][390/535][5036] Loss_D: -0.060197 Loss_G: 0.041008 Loss_D_real: -0.039474 Loss_D_fake 0.020723
[52/5000][395/535][5037] Loss_D: -0.060447 Loss_G: 0.016909 Loss_D_real: -0.025482 Loss_D_fake 0.034965
[52/5000][400/535][5038] Loss_D: -0.058237 Loss_G: 0.046343 Loss_D_real: -0.047198 Loss_D_fake 0.011039
[52/5000][405/535][5039] Loss_D: -0.059081 Loss_G: 0.001182 Loss_D_real: -0.011822 Loss_D_fake 0.047259
[52/5000][410/535][5040] Loss_D: -0.056463 Loss_G: 0.036998 Loss_D_real: -0.033461 Loss_D_fake 0.023002
[52/5000][415/535][5041] Loss_D: -0.061201 Loss_G: 0.020512 Loss_D_real: -0.024774 Loss_D_fake 0.036427
[52/5000][420/535][5042] Loss_D: -0.062195 Loss_G: 0.027428 Loss_D_real: -0.031165 Loss_D_fake 0.031029
[52/5000][425/535][5043] Loss_D: -0.061077 Loss_G: 0.031087 Loss_D_real: -0.034326 Loss_D_fake 0.026752
[52/5000][430/535][5044] Loss_D: -0.063378 Loss_G: 0.032845 Loss_D_real: -0.037156 Loss_D_fake 0.026222
[52/5000][435/535][5045] Loss_D: -0.059820 Loss_G: 0.017048 Loss_D_real: -0.026269 Loss_D_fake 0.033551
[52/5000][440/535][5046] Loss_D: -0.059183 Loss_G: 0.051199 Loss_D_real: -0.052044 Loss_D_fake 0.007139
[52/5000][445/535][5047] Loss_D: -0.057701 Loss_G: 0.006708 Loss_D_real: -0.013467 Loss_D_fake 0.044234
[52/5000][450/535][5048] Loss_D: -0.059468 Loss_G: 0.043351 Loss_D_real: -0.045743 Loss_D_fake 0.013725
[52/5000][455/535][5049] Loss_D: -0.064021 Loss_G: 0.014772 Loss_D_real: -0.027715 Loss_D_fake 0.036306
[52/5000][460/535][5050] Loss_D: -0.061340 Loss_G: 0.049392 Loss_D_real: -0.051409 Loss_D_fake 0.009931
[52/5000][465/535][5051] Loss_D: -0.059936 Loss_G: 0.014627 Loss_D_real: -0.022586 Loss_D_fake 0.037350
[52/5000][470/535][5052] Loss_D: -0.062492 Loss_G: 0.032527 Loss_D_real: -0.036693 Loss_D_fake 0.025799
[52/5000][475/535][5053] Loss_D: -0.059607 Loss_G: 0.015492 Loss_D_real: -0.023836 Loss_D_fake 0.035771
[52/5000][480/535][5054] Loss_D: -0.062030 Loss_G: 0.045226 Loss_D_real: -0.044256 Loss_D_fake 0.017773
[52/5000][485/535][5055] Loss_D: -0.057314 Loss_G: 0.012548 Loss_D_real: -0.011214 Loss_D_fake 0.046100
[52/5000][490/535][5056] Loss_D: -0.059063 Loss_G: 0.046894 Loss_D_real: -0.046046 Loss_D_fake 0.013017
[52/5000][495/535][5057] Loss_D: -0.058812 Loss_G: 0.029710 Loss_D_real: -0.031670 Loss_D_fake 0.027142
[52/5000][500/535][5058] Loss_D: -0.060139 Loss_G: 0.042810 Loss_D_real: -0.037280 Loss_D_fake 0.022859
[52/5000][505/535][5059] Loss_D: -0.060549 Loss_G: 0.030470 Loss_D_real: -0.031838 Loss_D_fake 0.028710
[52/5000][510/535][5060] Loss_D: -0.054933 Loss_G: 0.055740 Loss_D_real: -0.052281 Loss_D_fake 0.002652
[52/5000][515/535][5061] Loss_D: -0.055833 Loss_G: 0.008267 Loss_D_real: -0.015247 Loss_D_fake 0.040585
[52/5000][520/535][5062] Loss_D: -0.055195 Loss_G: 0.046539 Loss_D_real: -0.045473 Loss_D_fake 0.009722
[52/5000][525/535][5063] Loss_D: -0.053877 Loss_G: 0.000616 Loss_D_real: -0.009993 Loss_D_fake 0.043884
[52/5000][530/535][5064] Loss_D: -0.058377 Loss_G: 0.036401 Loss_D_real: -0.042004 Loss_D_fake 0.016373
[52/5000][535/535][5065] Loss_D: -0.053704 Loss_G: 0.062083 Loss_D_real: -0.052020 Loss_D_fake 0.001685
[53/5000][5/535][5066] Loss_D: -0.057358 Loss_G: 0.006239 Loss_D_real: -0.012691 Loss_D_fake 0.044667
[53/5000][10/535][5067] Loss_D: -0.056393 Loss_G: 0.039028 Loss_D_real: -0.044590 Loss_D_fake 0.011804
[53/5000][15/535][5068] Loss_D: -0.059933 Loss_G: 0.038641 Loss_D_real: -0.038097 Loss_D_fake 0.021837
[53/5000][20/535][5069] Loss_D: -0.060657 Loss_G: 0.032840 Loss_D_real: -0.031657 Loss_D_fake 0.029000
[53/5000][25/535][5070] Loss_D: -0.059605 Loss_G: 0.021745 Loss_D_real: -0.030987 Loss_D_fake 0.028618
[53/5000][30/535][5071] Loss_D: -0.056627 Loss_G: 0.062028 Loss_D_real: -0.058802 Loss_D_fake -0.002175
[53/5000][35/535][5072] Loss_D: -0.057138 Loss_G: -0.003172 Loss_D_real: -0.007413 Loss_D_fake 0.049725
[53/5000][40/535][5073] Loss_D: -0.058513 Loss_G: 0.040248 Loss_D_real: -0.042467 Loss_D_fake 0.016047
[53/5000][45/535][5074] Loss_D: -0.058603 Loss_G: 0.036646 Loss_D_real: -0.036623 Loss_D_fake 0.021980
[53/5000][50/535][5075] Loss_D: -0.061055 Loss_G: 0.047650 Loss_D_real: -0.047602 Loss_D_fake 0.013453
[53/5000][55/535][5076] Loss_D: -0.061005 Loss_G: 0.021897 Loss_D_real: -0.028050 Loss_D_fake 0.032955
[53/5000][60/535][5077] Loss_D: -0.058854 Loss_G: 0.042366 Loss_D_real: -0.039457 Loss_D_fake 0.019397
[53/5000][65/535][5078] Loss_D: -0.058289 Loss_G: 0.056461 Loss_D_real: -0.046839 Loss_D_fake 0.011450
[53/5000][70/535][5079] Loss_D: -0.058550 Loss_G: 0.017923 Loss_D_real: -0.027209 Loss_D_fake 0.031341
[53/5000][75/535][5080] Loss_D: -0.057019 Loss_G: 0.052886 Loss_D_real: -0.052736 Loss_D_fake 0.004283
[53/5000][80/535][5081] Loss_D: -0.058843 Loss_G: 0.009062 Loss_D_real: -0.019817 Loss_D_fake 0.039026
[53/5000][85/535][5082] Loss_D: -0.056512 Loss_G: 0.043116 Loss_D_real: -0.044042 Loss_D_fake 0.012471
[53/5000][90/535][5083] Loss_D: -0.059708 Loss_G: 0.015918 Loss_D_real: -0.026367 Loss_D_fake 0.033341
[53/5000][95/535][5084] Loss_D: -0.057770 Loss_G: 0.039525 Loss_D_real: -0.040303 Loss_D_fake 0.017466
[53/5000][100/535][5085] Loss_D: -0.060516 Loss_G: 0.035383 Loss_D_real: -0.035738 Loss_D_fake 0.024778
[53/5000][105/535][5086] Loss_D: -0.062348 Loss_G: 0.006744 Loss_D_real: -0.023779 Loss_D_fake 0.038569
[53/5000][110/535][5087] Loss_D: -0.059998 Loss_G: 0.052487 Loss_D_real: -0.049026 Loss_D_fake 0.010972
[53/5000][115/535][5088] Loss_D: -0.055735 Loss_G: 0.002031 Loss_D_real: -0.010487 Loss_D_fake 0.045248
[53/5000][120/535][5089] Loss_D: -0.058298 Loss_G: 0.044424 Loss_D_real: -0.046139 Loss_D_fake 0.012159
[53/5000][125/535][5090] Loss_D: -0.061409 Loss_G: 0.029492 Loss_D_real: -0.032899 Loss_D_fake 0.028510
[53/5000][130/535][5091] Loss_D: -0.059741 Loss_G: 0.037821 Loss_D_real: -0.035529 Loss_D_fake 0.024212
[53/5000][135/535][5092] Loss_D: -0.061568 Loss_G: 0.026749 Loss_D_real: -0.034474 Loss_D_fake 0.027094
[53/5000][140/535][5093] Loss_D: -0.059716 Loss_G: 0.053599 Loss_D_real: -0.049058 Loss_D_fake 0.010658
[53/5000][145/535][5094] Loss_D: -0.058755 Loss_G: 0.039510 Loss_D_real: -0.035396 Loss_D_fake 0.023358
[53/5000][150/535][5095] Loss_D: -0.062643 Loss_G: 0.030645 Loss_D_real: -0.035475 Loss_D_fake 0.027168
[53/5000][155/535][5096] Loss_D: -0.059863 Loss_G: 0.046855 Loss_D_real: -0.047467 Loss_D_fake 0.012396
[53/5000][160/535][5097] Loss_D: -0.060329 Loss_G: 0.023060 Loss_D_real: -0.022454 Loss_D_fake 0.037875
[53/5000][165/535][5098] Loss_D: -0.057771 Loss_G: 0.057814 Loss_D_real: -0.053608 Loss_D_fake 0.004163
[53/5000][170/535][5099] Loss_D: -0.057392 Loss_G: -0.003699 Loss_D_real: -0.012451 Loss_D_fake 0.044941
[53/5000][175/535][5100] Loss_D: -0.057353 Loss_G: 0.039203 Loss_D_real: -0.046310 Loss_D_fake 0.011042
[53/5000][180/535][5101] Loss_D: -0.058385 Loss_G: 0.023801 Loss_D_real: -0.030210 Loss_D_fake 0.028175
[53/5000][185/535][5102] Loss_D: -0.058220 Loss_G: 0.029012 Loss_D_real: -0.036243 Loss_D_fake 0.021977
[53/5000][190/535][5103] Loss_D: -0.058395 Loss_G: 0.034346 Loss_D_real: -0.033409 Loss_D_fake 0.024986
[53/5000][195/535][5104] Loss_D: -0.056574 Loss_G: 0.003326 Loss_D_real: -0.016534 Loss_D_fake 0.040040
[53/5000][200/535][5105] Loss_D: -0.056757 Loss_G: 0.053413 Loss_D_real: -0.052289 Loss_D_fake 0.004468
[53/5000][205/535][5106] Loss_D: -0.056968 Loss_G: -0.006189 Loss_D_real: -0.003720 Loss_D_fake 0.053249
[53/5000][210/535][5107] Loss_D: -0.054636 Loss_G: 0.046195 Loss_D_real: -0.045011 Loss_D_fake 0.009625
[53/5000][215/535][5108] Loss_D: -0.053842 Loss_G: 0.003889 Loss_D_real: -0.012172 Loss_D_fake 0.041670
[53/5000][220/535][5109] Loss_D: -0.057671 Loss_G: 0.049617 Loss_D_real: -0.050812 Loss_D_fake 0.006859
[53/5000][225/535][5110] Loss_D: -0.059547 Loss_G: 0.053137 Loss_D_real: -0.049596 Loss_D_fake 0.009952
[53/5000][230/535][5111] Loss_D: -0.058986 Loss_G: 0.020323 Loss_D_real: -0.021608 Loss_D_fake 0.037378
[53/5000][235/535][5112] Loss_D: -0.057648 Loss_G: 0.053432 Loss_D_real: -0.049345 Loss_D_fake 0.008304
[53/5000][240/535][5113] Loss_D: -0.057361 Loss_G: 0.025932 Loss_D_real: -0.026720 Loss_D_fake 0.030640
[53/5000][245/535][5114] Loss_D: -0.059687 Loss_G: 0.051762 Loss_D_real: -0.049552 Loss_D_fake 0.010135
[53/5000][250/535][5115] Loss_D: -0.059248 Loss_G: 0.000214 Loss_D_real: -0.012821 Loss_D_fake 0.046428
[53/5000][255/535][5116] Loss_D: -0.056335 Loss_G: 0.047822 Loss_D_real: -0.050291 Loss_D_fake 0.006045
[53/5000][260/535][5117] Loss_D: -0.062117 Loss_G: 0.021241 Loss_D_real: -0.028348 Loss_D_fake 0.033770
[53/5000][265/535][5118] Loss_D: -0.056376 Loss_G: 0.052367 Loss_D_real: -0.052559 Loss_D_fake 0.003817
[53/5000][270/535][5119] Loss_D: -0.060947 Loss_G: 0.017773 Loss_D_real: -0.024035 Loss_D_fake 0.036912
[53/5000][275/535][5120] Loss_D: -0.058134 Loss_G: 0.035241 Loss_D_real: -0.040994 Loss_D_fake 0.017140
[53/5000][280/535][5121] Loss_D: -0.059191 Loss_G: 0.029001 Loss_D_real: -0.028879 Loss_D_fake 0.030311
[53/5000][285/535][5122] Loss_D: -0.059409 Loss_G: 0.045182 Loss_D_real: -0.043893 Loss_D_fake 0.015517
[53/5000][290/535][5123] Loss_D: -0.055086 Loss_G: -0.012127 Loss_D_real: -0.002186 Loss_D_fake 0.052900
[53/5000][295/535][5124] Loss_D: -0.055438 Loss_G: 0.034945 Loss_D_real: -0.040448 Loss_D_fake 0.014991
[53/5000][300/535][5125] Loss_D: -0.057167 Loss_G: 0.019206 Loss_D_real: -0.024001 Loss_D_fake 0.033167
[53/5000][305/535][5126] Loss_D: -0.056740 Loss_G: 0.040543 Loss_D_real: -0.044040 Loss_D_fake 0.012700
[53/5000][310/535][5127] Loss_D: -0.057356 Loss_G: 0.020402 Loss_D_real: -0.024681 Loss_D_fake 0.032674
[53/5000][315/535][5128] Loss_D: -0.060600 Loss_G: 0.037809 Loss_D_real: -0.034948 Loss_D_fake 0.025653
[53/5000][320/535][5129] Loss_D: -0.062231 Loss_G: 0.011434 Loss_D_real: -0.026385 Loss_D_fake 0.035846
[53/5000][325/535][5130] Loss_D: -0.059583 Loss_G: 0.050414 Loss_D_real: -0.052028 Loss_D_fake 0.007555
[53/5000][330/535][5131] Loss_D: -0.062203 Loss_G: 0.023687 Loss_D_real: -0.027489 Loss_D_fake 0.034714
[53/5000][335/535][5132] Loss_D: -0.062433 Loss_G: 0.045963 Loss_D_real: -0.043524 Loss_D_fake 0.018908
[53/5000][340/535][5133] Loss_D: -0.061843 Loss_G: 0.021869 Loss_D_real: -0.028428 Loss_D_fake 0.033416
[53/5000][345/535][5134] Loss_D: -0.064044 Loss_G: 0.049153 Loss_D_real: -0.048072 Loss_D_fake 0.015972
[53/5000][350/535][5135] Loss_D: -0.058461 Loss_G: 0.014577 Loss_D_real: -0.020872 Loss_D_fake 0.037589
[53/5000][355/535][5136] Loss_D: -0.059900 Loss_G: 0.039760 Loss_D_real: -0.042214 Loss_D_fake 0.017686
[53/5000][360/535][5137] Loss_D: -0.060545 Loss_G: 0.027166 Loss_D_real: -0.031743 Loss_D_fake 0.028802
[53/5000][365/535][5138] Loss_D: -0.060917 Loss_G: 0.014943 Loss_D_real: -0.027804 Loss_D_fake 0.033113
[53/5000][370/535][5139] Loss_D: -0.059141 Loss_G: 0.039297 Loss_D_real: -0.041270 Loss_D_fake 0.017871
[53/5000][375/535][5140] Loss_D: -0.059461 Loss_G: 0.020736 Loss_D_real: -0.029805 Loss_D_fake 0.029656
[53/5000][380/535][5141] Loss_D: -0.061840 Loss_G: 0.019448 Loss_D_real: -0.028993 Loss_D_fake 0.032847
[53/5000][385/535][5142] Loss_D: -0.058683 Loss_G: 0.052459 Loss_D_real: -0.051049 Loss_D_fake 0.007633
[53/5000][390/535][5143] Loss_D: -0.053918 Loss_G: 0.000790 Loss_D_real: -0.004935 Loss_D_fake 0.048982
[53/5000][395/535][5144] Loss_D: -0.056162 Loss_G: 0.038353 Loss_D_real: -0.043728 Loss_D_fake 0.012434
[53/5000][400/535][5145] Loss_D: -0.058129 Loss_G: 0.021457 Loss_D_real: -0.028065 Loss_D_fake 0.030064
[53/5000][405/535][5146] Loss_D: -0.057176 Loss_G: 0.042093 Loss_D_real: -0.043792 Loss_D_fake 0.013384
[53/5000][410/535][5147] Loss_D: -0.058589 Loss_G: 0.019575 Loss_D_real: -0.021876 Loss_D_fake 0.036712
[53/5000][415/535][5148] Loss_D: -0.059546 Loss_G: 0.030795 Loss_D_real: -0.036661 Loss_D_fake 0.022885
[53/5000][420/535][5149] Loss_D: -0.057647 Loss_G: 0.033931 Loss_D_real: -0.028684 Loss_D_fake 0.028963
[53/5000][425/535][5150] Loss_D: -0.058218 Loss_G: 0.025329 Loss_D_real: -0.026764 Loss_D_fake 0.031454
[53/5000][430/535][5151] Loss_D: -0.058501 Loss_G: 0.030794 Loss_D_real: -0.033438 Loss_D_fake 0.025063
[53/5000][435/535][5152] Loss_D: -0.059701 Loss_G: 0.022912 Loss_D_real: -0.029474 Loss_D_fake 0.030228
[53/5000][440/535][5153] Loss_D: -0.059332 Loss_G: 0.040150 Loss_D_real: -0.039518 Loss_D_fake 0.019813
[53/5000][445/535][5154] Loss_D: -0.058648 Loss_G: 0.031566 Loss_D_real: -0.027978 Loss_D_fake 0.030670
[53/5000][450/535][5155] Loss_D: -0.054223 Loss_G: 0.001044 Loss_D_real: -0.008142 Loss_D_fake 0.046080
[53/5000][455/535][5156] Loss_D: -0.056995 Loss_G: 0.044341 Loss_D_real: -0.046026 Loss_D_fake 0.010969
[53/5000][460/535][5157] Loss_D: -0.057042 Loss_G: 0.019157 Loss_D_real: -0.022324 Loss_D_fake 0.034719
[53/5000][465/535][5158] Loss_D: -0.056342 Loss_G: 0.056899 Loss_D_real: -0.049399 Loss_D_fake 0.006943
[53/5000][470/535][5159] Loss_D: -0.056000 Loss_G: -0.000585 Loss_D_real: -0.012451 Loss_D_fake 0.043549
[53/5000][475/535][5160] Loss_D: -0.056082 Loss_G: 0.049191 Loss_D_real: -0.051440 Loss_D_fake 0.004641
[53/5000][480/535][5161] Loss_D: -0.054720 Loss_G: 0.002305 Loss_D_real: -0.010824 Loss_D_fake 0.043896
[53/5000][485/535][5162] Loss_D: -0.050939 Loss_G: 0.050918 Loss_D_real: -0.047433 Loss_D_fake 0.003506
[53/5000][490/535][5163] Loss_D: -0.057574 Loss_G: 0.034702 Loss_D_real: -0.032992 Loss_D_fake 0.024582
[53/5000][495/535][5164] Loss_D: -0.054141 Loss_G: 0.062113 Loss_D_real: -0.057336 Loss_D_fake -0.003195
[53/5000][500/535][5165] Loss_D: -0.059581 Loss_G: 0.000929 Loss_D_real: -0.019137 Loss_D_fake 0.040444
[53/5000][505/535][5166] Loss_D: -0.061002 Loss_G: 0.047487 Loss_D_real: -0.040581 Loss_D_fake 0.020421
[53/5000][510/535][5167] Loss_D: -0.059231 Loss_G: 0.055136 Loss_D_real: -0.049775 Loss_D_fake 0.009456
[53/5000][515/535][5168] Loss_D: -0.062574 Loss_G: 0.032969 Loss_D_real: -0.034405 Loss_D_fake 0.028169
[53/5000][520/535][5169] Loss_D: -0.058828 Loss_G: 0.065447 Loss_D_real: -0.057880 Loss_D_fake 0.000949
[53/5000][525/535][5170] Loss_D: -0.060387 Loss_G: 0.016186 Loss_D_real: -0.024094 Loss_D_fake 0.036293
[53/5000][530/535][5171] Loss_D: -0.060213 Loss_G: 0.038838 Loss_D_real: -0.041225 Loss_D_fake 0.018988
[53/5000][535/535][5172] Loss_D: -0.064169 Loss_G: 0.035714 Loss_D_real: -0.043545 Loss_D_fake 0.020624
[54/5000][5/535][5173] Loss_D: -0.062904 Loss_G: 0.046624 Loss_D_real: -0.044001 Loss_D_fake 0.018902
[54/5000][10/535][5174] Loss_D: -0.062059 Loss_G: 0.023693 Loss_D_real: -0.029164 Loss_D_fake 0.032895
[54/5000][15/535][5175] Loss_D: -0.055993 Loss_G: 0.060820 Loss_D_real: -0.059896 Loss_D_fake -0.003904
[54/5000][20/535][5176] Loss_D: -0.061266 Loss_G: 0.020967 Loss_D_real: -0.026907 Loss_D_fake 0.034360
[54/5000][25/535][5177] Loss_D: -0.061487 Loss_G: 0.051968 Loss_D_real: -0.049040 Loss_D_fake 0.012447
[54/5000][30/535][5178] Loss_D: -0.060194 Loss_G: -0.008949 Loss_D_real: -0.013467 Loss_D_fake 0.046727
[54/5000][35/535][5179] Loss_D: -0.056985 Loss_G: 0.037487 Loss_D_real: -0.045043 Loss_D_fake 0.011942
[54/5000][40/535][5180] Loss_D: -0.057837 Loss_G: 0.032015 Loss_D_real: -0.036905 Loss_D_fake 0.020932
[54/5000][45/535][5181] Loss_D: -0.062273 Loss_G: 0.040047 Loss_D_real: -0.039963 Loss_D_fake 0.022310
[54/5000][50/535][5182] Loss_D: -0.059848 Loss_G: 0.038795 Loss_D_real: -0.036763 Loss_D_fake 0.023085
[54/5000][55/535][5183] Loss_D: -0.061070 Loss_G: 0.037161 Loss_D_real: -0.041921 Loss_D_fake 0.019149
[54/5000][60/535][5184] Loss_D: -0.061329 Loss_G: 0.016227 Loss_D_real: -0.025849 Loss_D_fake 0.035480
[54/5000][65/535][5185] Loss_D: -0.056434 Loss_G: 0.054449 Loss_D_real: -0.056259 Loss_D_fake 0.000175
[54/5000][70/535][5186] Loss_D: -0.056581 Loss_G: 0.033004 Loss_D_real: -0.030193 Loss_D_fake 0.026388
[54/5000][75/535][5187] Loss_D: -0.061836 Loss_G: 0.028407 Loss_D_real: -0.035216 Loss_D_fake 0.026620
[54/5000][80/535][5188] Loss_D: -0.059658 Loss_G: 0.059860 Loss_D_real: -0.050260 Loss_D_fake 0.009398
[54/5000][85/535][5189] Loss_D: -0.056367 Loss_G: 0.015841 Loss_D_real: -0.018952 Loss_D_fake 0.037415
[54/5000][90/535][5190] Loss_D: -0.058730 Loss_G: 0.049760 Loss_D_real: -0.052510 Loss_D_fake 0.006220
[54/5000][95/535][5191] Loss_D: -0.057853 Loss_G: 0.000513 Loss_D_real: -0.012807 Loss_D_fake 0.045046
[54/5000][100/535][5192] Loss_D: -0.056937 Loss_G: 0.050426 Loss_D_real: -0.052521 Loss_D_fake 0.004415
[54/5000][105/535][5193] Loss_D: -0.056745 Loss_G: 0.022765 Loss_D_real: -0.029484 Loss_D_fake 0.027261
[54/5000][110/535][5194] Loss_D: -0.061443 Loss_G: 0.032865 Loss_D_real: -0.035240 Loss_D_fake 0.026203
[54/5000][115/535][5195] Loss_D: -0.062876 Loss_G: 0.024198 Loss_D_real: -0.032855 Loss_D_fake 0.030021
[54/5000][120/535][5196] Loss_D: -0.055407 Loss_G: 0.063585 Loss_D_real: -0.057489 Loss_D_fake -0.002083
[54/5000][125/535][5197] Loss_D: -0.058514 Loss_G: -0.002588 Loss_D_real: -0.016543 Loss_D_fake 0.041971
[54/5000][130/535][5198] Loss_D: -0.056425 Loss_G: 0.045119 Loss_D_real: -0.043694 Loss_D_fake 0.012731
[54/5000][135/535][5199] Loss_D: -0.059834 Loss_G: 0.025715 Loss_D_real: -0.026302 Loss_D_fake 0.033532
[54/5000][140/535][5200] Loss_D: -0.059207 Loss_G: 0.052550 Loss_D_real: -0.050047 Loss_D_fake 0.009160
[54/5000][145/535][5201] Loss_D: -0.057428 Loss_G: 0.009508 Loss_D_real: -0.011354 Loss_D_fake 0.046074
[54/5000][150/535][5202] Loss_D: -0.058095 Loss_G: 0.027248 Loss_D_real: -0.033701 Loss_D_fake 0.024393
[54/5000][155/535][5203] Loss_D: -0.056970 Loss_G: 0.026319 Loss_D_real: -0.030490 Loss_D_fake 0.026481
[54/5000][160/535][5204] Loss_D: -0.059696 Loss_G: 0.042312 Loss_D_real: -0.040751 Loss_D_fake 0.018945
[54/5000][165/535][5205] Loss_D: -0.062102 Loss_G: -0.001382 Loss_D_real: -0.017424 Loss_D_fake 0.044677
[54/5000][170/535][5206] Loss_D: -0.055693 Loss_G: 0.051925 Loss_D_real: -0.047131 Loss_D_fake 0.008562
[54/5000][175/535][5207] Loss_D: -0.057776 Loss_G: -0.000160 Loss_D_real: -0.010489 Loss_D_fake 0.047287
[54/5000][180/535][5208] Loss_D: -0.055525 Loss_G: 0.045833 Loss_D_real: -0.049149 Loss_D_fake 0.006376
[54/5000][185/535][5209] Loss_D: -0.058978 Loss_G: 0.038158 Loss_D_real: -0.035868 Loss_D_fake 0.023110
[54/5000][190/535][5210] Loss_D: -0.060094 Loss_G: 0.027094 Loss_D_real: -0.026554 Loss_D_fake 0.033540
[54/5000][195/535][5211] Loss_D: -0.057940 Loss_G: 0.048545 Loss_D_real: -0.044530 Loss_D_fake 0.013410
[54/5000][200/535][5212] Loss_D: -0.060066 Loss_G: 0.005268 Loss_D_real: -0.016943 Loss_D_fake 0.043123
[54/5000][205/535][5213] Loss_D: -0.058065 Loss_G: 0.055125 Loss_D_real: -0.053956 Loss_D_fake 0.004108
[54/5000][210/535][5214] Loss_D: -0.061629 Loss_G: 0.018264 Loss_D_real: -0.027312 Loss_D_fake 0.034317
[54/5000][215/535][5215] Loss_D: -0.058618 Loss_G: 0.051839 Loss_D_real: -0.048382 Loss_D_fake 0.010237
[54/5000][220/535][5216] Loss_D: -0.058893 Loss_G: 0.007344 Loss_D_real: -0.016457 Loss_D_fake 0.042436
[54/5000][225/535][5217] Loss_D: -0.058994 Loss_G: 0.033682 Loss_D_real: -0.035398 Loss_D_fake 0.023595
[54/5000][230/535][5218] Loss_D: -0.057342 Loss_G: 0.008841 Loss_D_real: -0.021576 Loss_D_fake 0.035766
[54/5000][235/535][5219] Loss_D: -0.059553 Loss_G: 0.045674 Loss_D_real: -0.044114 Loss_D_fake 0.015438
[54/5000][240/535][5220] Loss_D: -0.059834 Loss_G: 0.028890 Loss_D_real: -0.034642 Loss_D_fake 0.025192
[54/5000][245/535][5221] Loss_D: -0.057981 Loss_G: 0.048118 Loss_D_real: -0.046949 Loss_D_fake 0.011032
[54/5000][250/535][5222] Loss_D: -0.057722 Loss_G: 0.007467 Loss_D_real: -0.016769 Loss_D_fake 0.040953
[54/5000][255/535][5223] Loss_D: -0.056607 Loss_G: 0.051938 Loss_D_real: -0.052054 Loss_D_fake 0.004553
[54/5000][260/535][5224] Loss_D: -0.057346 Loss_G: 0.020102 Loss_D_real: -0.024829 Loss_D_fake 0.032517
[54/5000][265/535][5225] Loss_D: -0.059149 Loss_G: 0.044214 Loss_D_real: -0.041128 Loss_D_fake 0.018021
[54/5000][270/535][5226] Loss_D: -0.058535 Loss_G: 0.015942 Loss_D_real: -0.023407 Loss_D_fake 0.035127
[54/5000][275/535][5227] Loss_D: -0.059385 Loss_G: 0.044255 Loss_D_real: -0.044780 Loss_D_fake 0.014605
[54/5000][280/535][5228] Loss_D: -0.060503 Loss_G: 0.005979 Loss_D_real: -0.015581 Loss_D_fake 0.044922
[54/5000][285/535][5229] Loss_D: -0.060697 Loss_G: 0.040329 Loss_D_real: -0.045129 Loss_D_fake 0.015567
[54/5000][290/535][5230] Loss_D: -0.060743 Loss_G: 0.035454 Loss_D_real: -0.037468 Loss_D_fake 0.023275
[54/5000][295/535][5231] Loss_D: -0.061485 Loss_G: 0.044735 Loss_D_real: -0.046908 Loss_D_fake 0.014578
[54/5000][300/535][5232] Loss_D: -0.061075 Loss_G: 0.018562 Loss_D_real: -0.027226 Loss_D_fake 0.033850
[54/5000][305/535][5233] Loss_D: -0.060530 Loss_G: 0.039520 Loss_D_real: -0.037987 Loss_D_fake 0.022543
[54/5000][310/535][5234] Loss_D: -0.059068 Loss_G: 0.003583 Loss_D_real: -0.021359 Loss_D_fake 0.037710
[54/5000][315/535][5235] Loss_D: -0.059618 Loss_G: 0.044296 Loss_D_real: -0.046725 Loss_D_fake 0.012893
[54/5000][320/535][5236] Loss_D: -0.060444 Loss_G: 0.019124 Loss_D_real: -0.027934 Loss_D_fake 0.032510
[54/5000][325/535][5237] Loss_D: -0.059673 Loss_G: 0.037115 Loss_D_real: -0.041523 Loss_D_fake 0.018150
[54/5000][330/535][5238] Loss_D: -0.060765 Loss_G: 0.035825 Loss_D_real: -0.034911 Loss_D_fake 0.025854
[54/5000][335/535][5239] Loss_D: -0.057693 Loss_G: 0.009757 Loss_D_real: -0.014292 Loss_D_fake 0.043401
[54/5000][340/535][5240] Loss_D: -0.059473 Loss_G: 0.050139 Loss_D_real: -0.053025 Loss_D_fake 0.006448
[54/5000][345/535][5241] Loss_D: -0.058620 Loss_G: 0.029748 Loss_D_real: -0.030811 Loss_D_fake 0.027809
[54/5000][350/535][5242] Loss_D: -0.054949 Loss_G: -0.000234 Loss_D_real: -0.011223 Loss_D_fake 0.043727
[54/5000][355/535][5243] Loss_D: -0.058054 Loss_G: 0.039761 Loss_D_real: -0.041741 Loss_D_fake 0.016313
[54/5000][360/535][5244] Loss_D: -0.056837 Loss_G: 0.024169 Loss_D_real: -0.028064 Loss_D_fake 0.028773
[54/5000][365/535][5245] Loss_D: -0.056182 Loss_G: 0.051043 Loss_D_real: -0.046961 Loss_D_fake 0.009221
[54/5000][370/535][5246] Loss_D: -0.056501 Loss_G: 0.010324 Loss_D_real: -0.016502 Loss_D_fake 0.039999
[54/5000][375/535][5247] Loss_D: -0.056990 Loss_G: 0.036809 Loss_D_real: -0.041524 Loss_D_fake 0.015465
[54/5000][380/535][5248] Loss_D: -0.056865 Loss_G: 0.016105 Loss_D_real: -0.023582 Loss_D_fake 0.033282
[54/5000][385/535][5249] Loss_D: -0.059377 Loss_G: 0.040496 Loss_D_real: -0.040428 Loss_D_fake 0.018949
[54/5000][390/535][5250] Loss_D: -0.057659 Loss_G: 0.009087 Loss_D_real: -0.021237 Loss_D_fake 0.036423
[54/5000][395/535][5251] Loss_D: -0.055181 Loss_G: 0.050685 Loss_D_real: -0.054551 Loss_D_fake 0.000630
[54/5000][400/535][5252] Loss_D: -0.058949 Loss_G: 0.036707 Loss_D_real: -0.040079 Loss_D_fake 0.018870
[54/5000][405/535][5253] Loss_D: -0.059801 Loss_G: 0.045667 Loss_D_real: -0.038931 Loss_D_fake 0.020871
[54/5000][410/535][5254] Loss_D: -0.063349 Loss_G: 0.030830 Loss_D_real: -0.031184 Loss_D_fake 0.032166
[54/5000][415/535][5255] Loss_D: -0.062233 Loss_G: 0.048231 Loss_D_real: -0.045355 Loss_D_fake 0.016879
[54/5000][420/535][5256] Loss_D: -0.063109 Loss_G: 0.029090 Loss_D_real: -0.035030 Loss_D_fake 0.028079
[54/5000][425/535][5257] Loss_D: -0.059692 Loss_G: 0.058139 Loss_D_real: -0.049791 Loss_D_fake 0.009901
[54/5000][430/535][5258] Loss_D: -0.058859 Loss_G: -0.000278 Loss_D_real: -0.011011 Loss_D_fake 0.047847
[54/5000][435/535][5259] Loss_D: -0.056116 Loss_G: 0.048394 Loss_D_real: -0.051089 Loss_D_fake 0.005028
[54/5000][440/535][5260] Loss_D: -0.060256 Loss_G: 0.056441 Loss_D_real: -0.047890 Loss_D_fake 0.012367
[54/5000][445/535][5261] Loss_D: -0.060875 Loss_G: 0.027170 Loss_D_real: -0.027328 Loss_D_fake 0.033548
[54/5000][450/535][5262] Loss_D: -0.055743 Loss_G: 0.063070 Loss_D_real: -0.060027 Loss_D_fake -0.004283
[54/5000][455/535][5263] Loss_D: -0.060165 Loss_G: 0.020358 Loss_D_real: -0.024410 Loss_D_fake 0.035756
[54/5000][460/535][5264] Loss_D: -0.057202 Loss_G: 0.044605 Loss_D_real: -0.044207 Loss_D_fake 0.012995
[54/5000][465/535][5265] Loss_D: -0.061573 Loss_G: 0.026289 Loss_D_real: -0.027796 Loss_D_fake 0.033778
[54/5000][470/535][5266] Loss_D: -0.061024 Loss_G: 0.055683 Loss_D_real: -0.054388 Loss_D_fake 0.006636
[54/5000][475/535][5267] Loss_D: -0.059133 Loss_G: -0.004370 Loss_D_real: -0.015340 Loss_D_fake 0.043793
[54/5000][480/535][5268] Loss_D: -0.058301 Loss_G: 0.031017 Loss_D_real: -0.034651 Loss_D_fake 0.023649
[54/5000][485/535][5269] Loss_D: -0.057642 Loss_G: 0.057961 Loss_D_real: -0.051649 Loss_D_fake 0.005993
[54/5000][490/535][5270] Loss_D: -0.059868 Loss_G: 0.005808 Loss_D_real: -0.018730 Loss_D_fake 0.041137
[54/5000][495/535][5271] Loss_D: -0.055559 Loss_G: 0.052981 Loss_D_real: -0.056207 Loss_D_fake -0.000648
[54/5000][500/535][5272] Loss_D: -0.060662 Loss_G: 0.026238 Loss_D_real: -0.028621 Loss_D_fake 0.032041
[54/5000][505/535][5273] Loss_D: -0.060337 Loss_G: 0.036581 Loss_D_real: -0.037687 Loss_D_fake 0.022650
[54/5000][510/535][5274] Loss_D: -0.061111 Loss_G: 0.038839 Loss_D_real: -0.036873 Loss_D_fake 0.024238
[54/5000][515/535][5275] Loss_D: -0.060284 Loss_G: 0.033458 Loss_D_real: -0.036001 Loss_D_fake 0.024284
[54/5000][520/535][5276] Loss_D: -0.058793 Loss_G: 0.060706 Loss_D_real: -0.055285 Loss_D_fake 0.003508
[54/5000][525/535][5277] Loss_D: -0.058555 Loss_G: 0.011754 Loss_D_real: -0.018093 Loss_D_fake 0.040462
[54/5000][530/535][5278] Loss_D: -0.059276 Loss_G: 0.046247 Loss_D_real: -0.045656 Loss_D_fake 0.013620
[54/5000][535/535][5279] Loss_D: -0.060300 Loss_G: 0.038510 Loss_D_real: -0.046798 Loss_D_fake 0.013502
[55/5000][5/535][5280] Loss_D: -0.058111 Loss_G: 0.014503 Loss_D_real: -0.020523 Loss_D_fake 0.037588
[55/5000][10/535][5281] Loss_D: -0.056033 Loss_G: 0.062564 Loss_D_real: -0.056624 Loss_D_fake -0.000591
[55/5000][15/535][5282] Loss_D: -0.056565 Loss_G: -0.001377 Loss_D_real: -0.009373 Loss_D_fake 0.047192
[55/5000][20/535][5283] Loss_D: -0.058385 Loss_G: 0.024180 Loss_D_real: -0.034151 Loss_D_fake 0.024234
[55/5000][25/535][5284] Loss_D: -0.058861 Loss_G: 0.052785 Loss_D_real: -0.052110 Loss_D_fake 0.006751
[55/5000][30/535][5285] Loss_D: -0.059665 Loss_G: 0.018330 Loss_D_real: -0.025031 Loss_D_fake 0.034634
[55/5000][35/535][5286] Loss_D: -0.060453 Loss_G: 0.045966 Loss_D_real: -0.046482 Loss_D_fake 0.013971
[55/5000][40/535][5287] Loss_D: -0.059139 Loss_G: 0.023919 Loss_D_real: -0.029144 Loss_D_fake 0.029994
[55/5000][45/535][5288] Loss_D: -0.058938 Loss_G: 0.046063 Loss_D_real: -0.039966 Loss_D_fake 0.018972
[55/5000][50/535][5289] Loss_D: -0.059692 Loss_G: 0.023662 Loss_D_real: -0.028718 Loss_D_fake 0.030974
[55/5000][55/535][5290] Loss_D: -0.056898 Loss_G: 0.049414 Loss_D_real: -0.044427 Loss_D_fake 0.012471
[55/5000][60/535][5291] Loss_D: -0.057835 Loss_G: 0.009830 Loss_D_real: -0.018023 Loss_D_fake 0.039812
[55/5000][65/535][5292] Loss_D: -0.054371 Loss_G: 0.053734 Loss_D_real: -0.053718 Loss_D_fake 0.000653
[55/5000][70/535][5293] Loss_D: -0.057975 Loss_G: 0.002477 Loss_D_real: -0.015096 Loss_D_fake 0.042878
[55/5000][75/535][5294] Loss_D: -0.058773 Loss_G: 0.046511 Loss_D_real: -0.048563 Loss_D_fake 0.010210
[55/5000][80/535][5295] Loss_D: -0.060589 Loss_G: 0.025623 Loss_D_real: -0.030930 Loss_D_fake 0.029660
[55/5000][85/535][5296] Loss_D: -0.056335 Loss_G: 0.014341 Loss_D_real: -0.024148 Loss_D_fake 0.032187
[55/5000][90/535][5297] Loss_D: -0.057950 Loss_G: 0.057569 Loss_D_real: -0.054898 Loss_D_fake 0.003052
[55/5000][95/535][5298] Loss_D: -0.058570 Loss_G: 0.014234 Loss_D_real: -0.020303 Loss_D_fake 0.038267
[55/5000][100/535][5299] Loss_D: -0.057166 Loss_G: 0.048175 Loss_D_real: -0.048508 Loss_D_fake 0.008659
[55/5000][105/535][5300] Loss_D: -0.059920 Loss_G: 0.016827 Loss_D_real: -0.023865 Loss_D_fake 0.036055
[55/5000][110/535][5301] Loss_D: -0.057971 Loss_G: 0.041401 Loss_D_real: -0.040149 Loss_D_fake 0.017822
[55/5000][115/535][5302] Loss_D: -0.060292 Loss_G: 0.031999 Loss_D_real: -0.032235 Loss_D_fake 0.028057
[55/5000][120/535][5303] Loss_D: -0.056903 Loss_G: 0.011932 Loss_D_real: -0.018493 Loss_D_fake 0.038410
[55/5000][125/535][5304] Loss_D: -0.054290 Loss_G: 0.050980 Loss_D_real: -0.055959 Loss_D_fake -0.001668
[55/5000][130/535][5305] Loss_D: -0.058015 Loss_G: 0.011364 Loss_D_real: -0.020318 Loss_D_fake 0.037697
[55/5000][135/535][5306] Loss_D: -0.056279 Loss_G: 0.041909 Loss_D_real: -0.043409 Loss_D_fake 0.012870
[55/5000][140/535][5307] Loss_D: -0.060021 Loss_G: 0.027230 Loss_D_real: -0.032602 Loss_D_fake 0.027419
[55/5000][145/535][5308] Loss_D: -0.060211 Loss_G: 0.031362 Loss_D_real: -0.033070 Loss_D_fake 0.027141
[55/5000][150/535][5309] Loss_D: -0.057604 Loss_G: 0.048533 Loss_D_real: -0.046007 Loss_D_fake 0.011597
[55/5000][155/535][5310] Loss_D: -0.054662 Loss_G: 0.017433 Loss_D_real: -0.020350 Loss_D_fake 0.034313
[55/5000][160/535][5311] Loss_D: -0.060047 Loss_G: 0.039333 Loss_D_real: -0.035878 Loss_D_fake 0.024170
[55/5000][165/535][5312] Loss_D: -0.059606 Loss_G: 0.020721 Loss_D_real: -0.029983 Loss_D_fake 0.029623
[55/5000][170/535][5313] Loss_D: -0.062041 Loss_G: 0.047472 Loss_D_real: -0.042334 Loss_D_fake 0.019707
[55/5000][175/535][5314] Loss_D: -0.061333 Loss_G: 0.017784 Loss_D_real: -0.027756 Loss_D_fake 0.033577
[55/5000][180/535][5315] Loss_D: -0.054458 Loss_G: 0.063655 Loss_D_real: -0.061373 Loss_D_fake -0.006914
[55/5000][185/535][5316] Loss_D: -0.059096 Loss_G: 0.016283 Loss_D_real: -0.022001 Loss_D_fake 0.037096
[55/5000][190/535][5317] Loss_D: -0.058454 Loss_G: 0.049020 Loss_D_real: -0.045624 Loss_D_fake 0.012831
[55/5000][195/535][5318] Loss_D: -0.057794 Loss_G: 0.014985 Loss_D_real: -0.019961 Loss_D_fake 0.037833
[55/5000][200/535][5319] Loss_D: -0.059812 Loss_G: 0.028892 Loss_D_real: -0.035847 Loss_D_fake 0.023965
[55/5000][205/535][5320] Loss_D: -0.057813 Loss_G: 0.057335 Loss_D_real: -0.052528 Loss_D_fake 0.005285
[55/5000][210/535][5321] Loss_D: -0.058051 Loss_G: 0.013353 Loss_D_real: -0.020667 Loss_D_fake 0.037384
[55/5000][215/535][5322] Loss_D: -0.057623 Loss_G: 0.048806 Loss_D_real: -0.049060 Loss_D_fake 0.008564
[55/5000][220/535][5323] Loss_D: -0.057258 Loss_G: 0.010664 Loss_D_real: -0.015310 Loss_D_fake 0.041948
[55/5000][225/535][5324] Loss_D: -0.054906 Loss_G: 0.048505 Loss_D_real: -0.048743 Loss_D_fake 0.006163
[55/5000][230/535][5325] Loss_D: -0.059069 Loss_G: 0.028390 Loss_D_real: -0.031467 Loss_D_fake 0.027602
[55/5000][235/535][5326] Loss_D: -0.058870 Loss_G: 0.053026 Loss_D_real: -0.049498 Loss_D_fake 0.009372
[55/5000][240/535][5327] Loss_D: -0.058458 Loss_G: 0.018199 Loss_D_real: -0.028558 Loss_D_fake 0.029901
[55/5000][245/535][5328] Loss_D: -0.060687 Loss_G: 0.035645 Loss_D_real: -0.039564 Loss_D_fake 0.021123
[55/5000][250/535][5329] Loss_D: -0.058016 Loss_G: 0.020880 Loss_D_real: -0.028335 Loss_D_fake 0.029681
[55/5000][255/535][5330] Loss_D: -0.060933 Loss_G: 0.025141 Loss_D_real: -0.036484 Loss_D_fake 0.024449
[55/5000][260/535][5331] Loss_D: -0.054754 Loss_G: 0.056472 Loss_D_real: -0.058983 Loss_D_fake -0.004229
[55/5000][265/535][5332] Loss_D: -0.056926 Loss_G: 0.012080 Loss_D_real: -0.021953 Loss_D_fake 0.034973
[55/5000][270/535][5333] Loss_D: -0.056993 Loss_G: 0.047120 Loss_D_real: -0.051564 Loss_D_fake 0.005429
[55/5000][275/535][5334] Loss_D: -0.059834 Loss_G: 0.018110 Loss_D_real: -0.026176 Loss_D_fake 0.033658
[55/5000][280/535][5335] Loss_D: -0.057413 Loss_G: 0.039376 Loss_D_real: -0.042304 Loss_D_fake 0.015109
[55/5000][285/535][5336] Loss_D: -0.057560 Loss_G: 0.044628 Loss_D_real: -0.048937 Loss_D_fake 0.008623
[55/5000][290/535][5337] Loss_D: -0.057739 Loss_G: 0.009754 Loss_D_real: -0.013605 Loss_D_fake 0.044134
[55/5000][295/535][5338] Loss_D: -0.060754 Loss_G: 0.052177 Loss_D_real: -0.049885 Loss_D_fake 0.010868
[55/5000][300/535][5339] Loss_D: -0.061025 Loss_G: 0.022469 Loss_D_real: -0.031083 Loss_D_fake 0.029942
[55/5000][305/535][5340] Loss_D: -0.063793 Loss_G: 0.049557 Loss_D_real: -0.046737 Loss_D_fake 0.017056
[55/5000][310/535][5341] Loss_D: -0.057184 Loss_G: 0.008820 Loss_D_real: -0.014516 Loss_D_fake 0.042669
[55/5000][315/535][5342] Loss_D: -0.060028 Loss_G: 0.044544 Loss_D_real: -0.048356 Loss_D_fake 0.011673
[55/5000][320/535][5343] Loss_D: -0.062393 Loss_G: 0.034851 Loss_D_real: -0.040915 Loss_D_fake 0.021478
[55/5000][325/535][5344] Loss_D: -0.061135 Loss_G: 0.034969 Loss_D_real: -0.031686 Loss_D_fake 0.029449
[55/5000][330/535][5345] Loss_D: -0.058967 Loss_G: 0.016207 Loss_D_real: -0.020388 Loss_D_fake 0.038578
[55/5000][335/535][5346] Loss_D: -0.058894 Loss_G: 0.043982 Loss_D_real: -0.046736 Loss_D_fake 0.012158
[55/5000][340/535][5347] Loss_D: -0.057957 Loss_G: 0.009177 Loss_D_real: -0.017663 Loss_D_fake 0.040294
[55/5000][345/535][5348] Loss_D: -0.059198 Loss_G: 0.038360 Loss_D_real: -0.044201 Loss_D_fake 0.014997
[55/5000][350/535][5349] Loss_D: -0.058084 Loss_G: 0.008056 Loss_D_real: -0.022087 Loss_D_fake 0.035998
[55/5000][355/535][5350] Loss_D: -0.060227 Loss_G: 0.037493 Loss_D_real: -0.039849 Loss_D_fake 0.020378
[55/5000][360/535][5351] Loss_D: -0.059217 Loss_G: 0.044898 Loss_D_real: -0.041610 Loss_D_fake 0.017607
[55/5000][365/535][5352] Loss_D: -0.059924 Loss_G: 0.017304 Loss_D_real: -0.025120 Loss_D_fake 0.034804
[55/5000][370/535][5353] Loss_D: -0.056130 Loss_G: 0.050883 Loss_D_real: -0.052266 Loss_D_fake 0.003864
[55/5000][375/535][5354] Loss_D: -0.059609 Loss_G: 0.022546 Loss_D_real: -0.033484 Loss_D_fake 0.026125
[55/5000][380/535][5355] Loss_D: -0.058745 Loss_G: 0.038549 Loss_D_real: -0.042669 Loss_D_fake 0.016075
[55/5000][385/535][5356] Loss_D: -0.057151 Loss_G: 0.016353 Loss_D_real: -0.022604 Loss_D_fake 0.034546
[55/5000][390/535][5357] Loss_D: -0.058895 Loss_G: 0.051019 Loss_D_real: -0.052068 Loss_D_fake 0.006827
[55/5000][395/535][5358] Loss_D: -0.055165 Loss_G: 0.007682 Loss_D_real: -0.014888 Loss_D_fake 0.040278
[55/5000][400/535][5359] Loss_D: -0.057166 Loss_G: 0.037137 Loss_D_real: -0.041436 Loss_D_fake 0.015730
[55/5000][405/535][5360] Loss_D: -0.057620 Loss_G: 0.019586 Loss_D_real: -0.027109 Loss_D_fake 0.030511
[55/5000][410/535][5361] Loss_D: -0.057384 Loss_G: 0.050043 Loss_D_real: -0.046368 Loss_D_fake 0.011015
[55/5000][415/535][5362] Loss_D: -0.058839 Loss_G: 0.009911 Loss_D_real: -0.019164 Loss_D_fake 0.039675
[55/5000][420/535][5363] Loss_D: -0.058569 Loss_G: 0.052884 Loss_D_real: -0.054153 Loss_D_fake 0.004416
[55/5000][425/535][5364] Loss_D: -0.060854 Loss_G: 0.002970 Loss_D_real: -0.010907 Loss_D_fake 0.049947
[55/5000][430/535][5365] Loss_D: -0.057494 Loss_G: 0.051609 Loss_D_real: -0.049903 Loss_D_fake 0.007591
[55/5000][435/535][5366] Loss_D: -0.060792 Loss_G: 0.038871 Loss_D_real: -0.035936 Loss_D_fake 0.024856
[55/5000][440/535][5367] Loss_D: -0.063112 Loss_G: 0.037090 Loss_D_real: -0.037482 Loss_D_fake 0.025630
[55/5000][445/535][5368] Loss_D: -0.057966 Loss_G: 0.064067 Loss_D_real: -0.054465 Loss_D_fake 0.003501
[55/5000][450/535][5369] Loss_D: -0.056984 Loss_G: 0.005875 Loss_D_real: -0.017359 Loss_D_fake 0.039625
[55/5000][455/535][5370] Loss_D: -0.056870 Loss_G: 0.041333 Loss_D_real: -0.043696 Loss_D_fake 0.013174
[55/5000][460/535][5371] Loss_D: -0.060041 Loss_G: 0.029575 Loss_D_real: -0.030132 Loss_D_fake 0.029909
[55/5000][465/535][5372] Loss_D: -0.058084 Loss_G: 0.050077 Loss_D_real: -0.045250 Loss_D_fake 0.012834
[55/5000][470/535][5373] Loss_D: -0.060836 Loss_G: 0.032311 Loss_D_real: -0.032650 Loss_D_fake 0.028186
[55/5000][475/535][5374] Loss_D: -0.056227 Loss_G: 0.061375 Loss_D_real: -0.057905 Loss_D_fake -0.001677
[55/5000][480/535][5375] Loss_D: -0.057159 Loss_G: 0.002343 Loss_D_real: -0.013949 Loss_D_fake 0.043210
[55/5000][485/535][5376] Loss_D: -0.056630 Loss_G: 0.048441 Loss_D_real: -0.045519 Loss_D_fake 0.011111
[55/5000][490/535][5377] Loss_D: -0.059111 Loss_G: 0.023687 Loss_D_real: -0.026559 Loss_D_fake 0.032552
[55/5000][495/535][5378] Loss_D: -0.059901 Loss_G: 0.043638 Loss_D_real: -0.047452 Loss_D_fake 0.012449
[55/5000][500/535][5379] Loss_D: -0.059207 Loss_G: 0.016504 Loss_D_real: -0.025377 Loss_D_fake 0.033829
[55/5000][505/535][5380] Loss_D: -0.059601 Loss_G: 0.052523 Loss_D_real: -0.051921 Loss_D_fake 0.007679
[55/5000][510/535][5381] Loss_D: -0.057075 Loss_G: -0.008997 Loss_D_real: -0.005807 Loss_D_fake 0.051269
[55/5000][515/535][5382] Loss_D: -0.054555 Loss_G: 0.045473 Loss_D_real: -0.048610 Loss_D_fake 0.005945
[55/5000][520/535][5383] Loss_D: -0.054465 Loss_G: -0.001626 Loss_D_real: -0.011456 Loss_D_fake 0.043010
[55/5000][525/535][5384] Loss_D: -0.056204 Loss_G: 0.049584 Loss_D_real: -0.045998 Loss_D_fake 0.010205
[55/5000][530/535][5385] Loss_D: -0.060010 Loss_G: 0.025803 Loss_D_real: -0.030328 Loss_D_fake 0.029682
[55/5000][535/535][5386] Loss_D: -0.060163 Loss_G: 0.040601 Loss_D_real: -0.040405 Loss_D_fake 0.019758
[56/5000][5/535][5387] Loss_D: -0.061090 Loss_G: 0.036187 Loss_D_real: -0.037188 Loss_D_fake 0.023903
[56/5000][10/535][5388] Loss_D: -0.060996 Loss_G: 0.030896 Loss_D_real: -0.032377 Loss_D_fake 0.028619
[56/5000][15/535][5389] Loss_D: -0.062109 Loss_G: 0.014168 Loss_D_real: -0.025167 Loss_D_fake 0.036942
[56/5000][20/535][5390] Loss_D: -0.057370 Loss_G: 0.055620 Loss_D_real: -0.054658 Loss_D_fake 0.002713
[56/5000][25/535][5391] Loss_D: -0.056103 Loss_G: -0.002484 Loss_D_real: -0.010600 Loss_D_fake 0.045503
[56/5000][30/535][5392] Loss_D: -0.056450 Loss_G: 0.038650 Loss_D_real: -0.049665 Loss_D_fake 0.006786
[56/5000][35/535][5393] Loss_D: -0.057737 Loss_G: 0.021722 Loss_D_real: -0.028428 Loss_D_fake 0.029310
[56/5000][40/535][5394] Loss_D: -0.057735 Loss_G: 0.030230 Loss_D_real: -0.033615 Loss_D_fake 0.024120
[56/5000][45/535][5395] Loss_D: -0.057521 Loss_G: 0.039291 Loss_D_real: -0.038589 Loss_D_fake 0.018932
[56/5000][50/535][5396] Loss_D: -0.059474 Loss_G: 0.046013 Loss_D_real: -0.040681 Loss_D_fake 0.018793
[56/5000][55/535][5397] Loss_D: -0.061541 Loss_G: 0.049967 Loss_D_real: -0.042002 Loss_D_fake 0.019540
[56/5000][60/535][5398] Loss_D: -0.055868 Loss_G: 0.008396 Loss_D_real: -0.013093 Loss_D_fake 0.042775
[56/5000][65/535][5399] Loss_D: -0.056388 Loss_G: 0.050597 Loss_D_real: -0.049495 Loss_D_fake 0.006893
[56/5000][70/535][5400] Loss_D: -0.056260 Loss_G: 0.002510 Loss_D_real: -0.011865 Loss_D_fake 0.044395
[56/5000][75/535][5401] Loss_D: -0.057036 Loss_G: 0.051110 Loss_D_real: -0.051125 Loss_D_fake 0.005911
[56/5000][80/535][5402] Loss_D: -0.057442 Loss_G: -0.008634 Loss_D_real: -0.004734 Loss_D_fake 0.052708
[56/5000][85/535][5403] Loss_D: -0.053403 Loss_G: 0.041353 Loss_D_real: -0.044826 Loss_D_fake 0.008577
[56/5000][90/535][5404] Loss_D: -0.058378 Loss_G: 0.030874 Loss_D_real: -0.031297 Loss_D_fake 0.027081
[56/5000][95/535][5405] Loss_D: -0.060550 Loss_G: 0.036811 Loss_D_real: -0.038592 Loss_D_fake 0.021958
[56/5000][100/535][5406] Loss_D: -0.058738 Loss_G: 0.041568 Loss_D_real: -0.040882 Loss_D_fake 0.017856
[56/5000][105/535][5407] Loss_D: -0.059645 Loss_G: 0.035790 Loss_D_real: -0.034523 Loss_D_fake 0.025122
[56/5000][110/535][5408] Loss_D: -0.057290 Loss_G: 0.023338 Loss_D_real: -0.026126 Loss_D_fake 0.031164
[56/5000][115/535][5409] Loss_D: -0.056978 Loss_G: 0.055857 Loss_D_real: -0.051071 Loss_D_fake 0.005907
[56/5000][120/535][5410] Loss_D: -0.056173 Loss_G: 0.007666 Loss_D_real: -0.018287 Loss_D_fake 0.037887
[56/5000][125/535][5411] Loss_D: -0.057903 Loss_G: 0.052518 Loss_D_real: -0.047702 Loss_D_fake 0.010201
[56/5000][130/535][5412] Loss_D: -0.058794 Loss_G: 0.017251 Loss_D_real: -0.019426 Loss_D_fake 0.039368
[56/5000][135/535][5413] Loss_D: -0.055079 Loss_G: 0.042867 Loss_D_real: -0.041495 Loss_D_fake 0.013584
[56/5000][140/535][5414] Loss_D: -0.057079 Loss_G: 0.015926 Loss_D_real: -0.025822 Loss_D_fake 0.031257
[56/5000][145/535][5415] Loss_D: -0.055552 Loss_G: 0.052033 Loss_D_real: -0.052105 Loss_D_fake 0.003447
[56/5000][150/535][5416] Loss_D: -0.059267 Loss_G: 0.028465 Loss_D_real: -0.029625 Loss_D_fake 0.029642
[56/5000][155/535][5417] Loss_D: -0.060682 Loss_G: 0.026971 Loss_D_real: -0.029463 Loss_D_fake 0.031219
[56/5000][160/535][5418] Loss_D: -0.061922 Loss_G: 0.049322 Loss_D_real: -0.044464 Loss_D_fake 0.017458
[56/5000][165/535][5419] Loss_D: -0.059861 Loss_G: 0.018010 Loss_D_real: -0.027816 Loss_D_fake 0.032045
[56/5000][170/535][5420] Loss_D: -0.056679 Loss_G: 0.054664 Loss_D_real: -0.054412 Loss_D_fake 0.002266
[56/5000][175/535][5421] Loss_D: -0.059043 Loss_G: 0.010594 Loss_D_real: -0.025393 Loss_D_fake 0.033650
[56/5000][180/535][5422] Loss_D: -0.057427 Loss_G: 0.042744 Loss_D_real: -0.045940 Loss_D_fake 0.011487
[56/5000][185/535][5423] Loss_D: -0.058486 Loss_G: 0.018048 Loss_D_real: -0.028895 Loss_D_fake 0.029591
[56/5000][190/535][5424] Loss_D: -0.058893 Loss_G: 0.052838 Loss_D_real: -0.048732 Loss_D_fake 0.010161
[56/5000][195/535][5425] Loss_D: -0.059554 Loss_G: 0.004830 Loss_D_real: -0.014496 Loss_D_fake 0.045058
[56/5000][200/535][5426] Loss_D: -0.055337 Loss_G: 0.040459 Loss_D_real: -0.044199 Loss_D_fake 0.011139
[56/5000][205/535][5427] Loss_D: -0.057192 Loss_G: 0.007187 Loss_D_real: -0.020680 Loss_D_fake 0.036512
[56/5000][210/535][5428] Loss_D: -0.055264 Loss_G: 0.032514 Loss_D_real: -0.034105 Loss_D_fake 0.021158
[56/5000][215/535][5429] Loss_D: -0.058159 Loss_G: 0.019559 Loss_D_real: -0.026132 Loss_D_fake 0.032027
[56/5000][220/535][5430] Loss_D: -0.060048 Loss_G: 0.027235 Loss_D_real: -0.031753 Loss_D_fake 0.028295
[56/5000][225/535][5431] Loss_D: -0.061988 Loss_G: 0.047502 Loss_D_real: -0.046355 Loss_D_fake 0.015632
[56/5000][230/535][5432] Loss_D: -0.060367 Loss_G: 0.030830 Loss_D_real: -0.036934 Loss_D_fake 0.023433
[56/5000][235/535][5433] Loss_D: -0.058653 Loss_G: 0.050173 Loss_D_real: -0.047541 Loss_D_fake 0.011112
[56/5000][240/535][5434] Loss_D: -0.058375 Loss_G: 0.009283 Loss_D_real: -0.015338 Loss_D_fake 0.043037
[56/5000][245/535][5435] Loss_D: -0.058900 Loss_G: 0.049405 Loss_D_real: -0.052664 Loss_D_fake 0.006236
[56/5000][250/535][5436] Loss_D: -0.058120 Loss_G: 0.012559 Loss_D_real: -0.020011 Loss_D_fake 0.038108
[56/5000][255/535][5437] Loss_D: -0.059957 Loss_G: 0.044767 Loss_D_real: -0.052535 Loss_D_fake 0.007421
[56/5000][260/535][5438] Loss_D: -0.059785 Loss_G: 0.014805 Loss_D_real: -0.025024 Loss_D_fake 0.034761
[56/5000][265/535][5439] Loss_D: -0.060431 Loss_G: 0.035910 Loss_D_real: -0.037841 Loss_D_fake 0.022590
[56/5000][270/535][5440] Loss_D: -0.061073 Loss_G: 0.046701 Loss_D_real: -0.043327 Loss_D_fake 0.017746
[56/5000][275/535][5441] Loss_D: -0.057996 Loss_G: 0.000771 Loss_D_real: -0.013817 Loss_D_fake 0.044179
[56/5000][280/535][5442] Loss_D: -0.062014 Loss_G: 0.043340 Loss_D_real: -0.047399 Loss_D_fake 0.014615
[56/5000][285/535][5443] Loss_D: -0.061534 Loss_G: 0.033645 Loss_D_real: -0.036838 Loss_D_fake 0.024696
[56/5000][290/535][5444] Loss_D: -0.058888 Loss_G: 0.038631 Loss_D_real: -0.034360 Loss_D_fake 0.024528
[56/5000][295/535][5445] Loss_D: -0.057633 Loss_G: 0.007536 Loss_D_real: -0.014852 Loss_D_fake 0.042781
[56/5000][300/535][5446] Loss_D: -0.057255 Loss_G: 0.045080 Loss_D_real: -0.043524 Loss_D_fake 0.013731
[56/5000][305/535][5447] Loss_D: -0.055652 Loss_G: 0.017458 Loss_D_real: -0.022815 Loss_D_fake 0.032837
[56/5000][310/535][5448] Loss_D: -0.056097 Loss_G: 0.034517 Loss_D_real: -0.040739 Loss_D_fake 0.015358
[56/5000][315/535][5449] Loss_D: -0.058570 Loss_G: 0.010707 Loss_D_real: -0.026427 Loss_D_fake 0.032144
[56/5000][320/535][5450] Loss_D: -0.055918 Loss_G: 0.048351 Loss_D_real: -0.050312 Loss_D_fake 0.005606
[56/5000][325/535][5451] Loss_D: -0.057762 Loss_G: 0.019307 Loss_D_real: -0.019797 Loss_D_fake 0.037965
[56/5000][330/535][5452] Loss_D: -0.057568 Loss_G: 0.042388 Loss_D_real: -0.038920 Loss_D_fake 0.018649
[56/5000][335/535][5453] Loss_D: -0.055546 Loss_G: 0.025371 Loss_D_real: -0.028117 Loss_D_fake 0.027429
[56/5000][340/535][5454] Loss_D: -0.057799 Loss_G: 0.016691 Loss_D_real: -0.026050 Loss_D_fake 0.031749
[56/5000][345/535][5455] Loss_D: -0.056727 Loss_G: 0.025333 Loss_D_real: -0.031511 Loss_D_fake 0.025216
[56/5000][350/535][5456] Loss_D: -0.055972 Loss_G: 0.040496 Loss_D_real: -0.038362 Loss_D_fake 0.017610
[56/5000][355/535][5457] Loss_D: -0.058026 Loss_G: 0.010879 Loss_D_real: -0.017832 Loss_D_fake 0.040194
[56/5000][360/535][5458] Loss_D: -0.056190 Loss_G: 0.043061 Loss_D_real: -0.045609 Loss_D_fake 0.010581
[56/5000][365/535][5459] Loss_D: -0.053927 Loss_G: 0.027093 Loss_D_real: -0.037159 Loss_D_fake 0.016768
[56/5000][370/535][5460] Loss_D: -0.055264 Loss_G: 0.050958 Loss_D_real: -0.048436 Loss_D_fake 0.006828
[56/5000][375/535][5461] Loss_D: -0.056551 Loss_G: 0.000617 Loss_D_real: -0.012640 Loss_D_fake 0.043911
[56/5000][380/535][5462] Loss_D: -0.055723 Loss_G: 0.039455 Loss_D_real: -0.041643 Loss_D_fake 0.014080
[56/5000][385/535][5463] Loss_D: -0.056285 Loss_G: 0.061605 Loss_D_real: -0.048589 Loss_D_fake 0.007696
[56/5000][390/535][5464] Loss_D: -0.056111 Loss_G: 0.001769 Loss_D_real: -0.009307 Loss_D_fake 0.046804
[56/5000][395/535][5465] Loss_D: -0.053844 Loss_G: 0.055064 Loss_D_real: -0.055695 Loss_D_fake -0.001850
[56/5000][400/535][5466] Loss_D: -0.060870 Loss_G: 0.012486 Loss_D_real: -0.022252 Loss_D_fake 0.038618
[56/5000][405/535][5467] Loss_D: -0.055420 Loss_G: 0.061411 Loss_D_real: -0.059673 Loss_D_fake -0.004253
[56/5000][410/535][5468] Loss_D: -0.059059 Loss_G: 0.011044 Loss_D_real: -0.020131 Loss_D_fake 0.038928
[56/5000][415/535][5469] Loss_D: -0.057448 Loss_G: 0.049132 Loss_D_real: -0.050101 Loss_D_fake 0.007347
[56/5000][420/535][5470] Loss_D: -0.059741 Loss_G: 0.000177 Loss_D_real: -0.019255 Loss_D_fake 0.040487
[56/5000][425/535][5471] Loss_D: -0.056651 Loss_G: 0.048108 Loss_D_real: -0.046097 Loss_D_fake 0.010554
[56/5000][430/535][5472] Loss_D: -0.059192 Loss_G: 0.025824 Loss_D_real: -0.026036 Loss_D_fake 0.033156
[56/5000][435/535][5473] Loss_D: -0.062471 Loss_G: 0.046737 Loss_D_real: -0.042808 Loss_D_fake 0.019663
[56/5000][440/535][5474] Loss_D: -0.061218 Loss_G: 0.036776 Loss_D_real: -0.034185 Loss_D_fake 0.027033
[56/5000][445/535][5475] Loss_D: -0.061069 Loss_G: 0.042650 Loss_D_real: -0.040131 Loss_D_fake 0.020937
[56/5000][450/535][5476] Loss_D: -0.063295 Loss_G: 0.031475 Loss_D_real: -0.039455 Loss_D_fake 0.023840
[56/5000][455/535][5477] Loss_D: -0.061476 Loss_G: 0.044367 Loss_D_real: -0.040801 Loss_D_fake 0.020675
[56/5000][460/535][5478] Loss_D: -0.060312 Loss_G: 0.033699 Loss_D_real: -0.033483 Loss_D_fake 0.026829
[56/5000][465/535][5479] Loss_D: -0.061703 Loss_G: 0.015050 Loss_D_real: -0.029670 Loss_D_fake 0.032033
[56/5000][470/535][5480] Loss_D: -0.056977 Loss_G: 0.059384 Loss_D_real: -0.058910 Loss_D_fake -0.001933
[56/5000][475/535][5481] Loss_D: -0.059102 Loss_G: 0.012977 Loss_D_real: -0.019424 Loss_D_fake 0.039679
[56/5000][480/535][5482] Loss_D: -0.058074 Loss_G: 0.047721 Loss_D_real: -0.045819 Loss_D_fake 0.012255
[56/5000][485/535][5483] Loss_D: -0.059125 Loss_G: 0.022564 Loss_D_real: -0.031157 Loss_D_fake 0.027968
[56/5000][490/535][5484] Loss_D: -0.058923 Loss_G: 0.038335 Loss_D_real: -0.038463 Loss_D_fake 0.020460
[56/5000][495/535][5485] Loss_D: -0.057414 Loss_G: -0.007163 Loss_D_real: -0.009582 Loss_D_fake 0.047832
[56/5000][500/535][5486] Loss_D: -0.055328 Loss_G: 0.054208 Loss_D_real: -0.052626 Loss_D_fake 0.002702
[56/5000][505/535][5487] Loss_D: -0.055456 Loss_G: 0.002207 Loss_D_real: -0.005925 Loss_D_fake 0.049531
[56/5000][510/535][5488] Loss_D: -0.057701 Loss_G: 0.035890 Loss_D_real: -0.039943 Loss_D_fake 0.017758
[56/5000][515/535][5489] Loss_D: -0.059442 Loss_G: 0.027990 Loss_D_real: -0.037740 Loss_D_fake 0.021702
[56/5000][520/535][5490] Loss_D: -0.060136 Loss_G: 0.036720 Loss_D_real: -0.042069 Loss_D_fake 0.018067
[56/5000][525/535][5491] Loss_D: -0.061014 Loss_G: 0.040932 Loss_D_real: -0.040924 Loss_D_fake 0.020090
[56/5000][530/535][5492] Loss_D: -0.057389 Loss_G: 0.044461 Loss_D_real: -0.040733 Loss_D_fake 0.016655
[56/5000][535/535][5493] Loss_D: -0.058913 Loss_G: 0.034831 Loss_D_real: -0.024132 Loss_D_fake 0.034781
[57/5000][5/535][5494] Loss_D: -0.058284 Loss_G: 0.043581 Loss_D_real: -0.044954 Loss_D_fake 0.013330
[57/5000][10/535][5495] Loss_D: -0.058365 Loss_G: 0.054291 Loss_D_real: -0.049810 Loss_D_fake 0.008556
[57/5000][15/535][5496] Loss_D: -0.056453 Loss_G: 0.001330 Loss_D_real: -0.011024 Loss_D_fake 0.045429
[57/5000][20/535][5497] Loss_D: -0.054715 Loss_G: 0.047114 Loss_D_real: -0.046452 Loss_D_fake 0.008263
[57/5000][25/535][5498] Loss_D: -0.058568 Loss_G: 0.012807 Loss_D_real: -0.017995 Loss_D_fake 0.040573
[57/5000][30/535][5499] Loss_D: -0.057752 Loss_G: 0.052554 Loss_D_real: -0.055416 Loss_D_fake 0.002336
[57/5000][35/535][5500] Loss_D: -0.057750 Loss_G: 0.002150 Loss_D_real: -0.014100 Loss_D_fake 0.043650
[57/5000][135/535][5501] Loss_D: -0.058445 Loss_G: 0.047740 Loss_D_real: -0.047970 Loss_D_fake 0.010475
[57/5000][140/535][5502] Loss_D: -0.058849 Loss_G: 0.057415 Loss_D_real: -0.053459 Loss_D_fake 0.005391
[57/5000][145/535][5503] Loss_D: -0.054932 Loss_G: 0.012613 Loss_D_real: -0.023315 Loss_D_fake 0.031616
[57/5000][150/535][5504] Loss_D: -0.055575 Loss_G: 0.034249 Loss_D_real: -0.038425 Loss_D_fake 0.017149
[57/5000][155/535][5505] Loss_D: -0.057356 Loss_G: 0.035349 Loss_D_real: -0.038827 Loss_D_fake 0.018529
[57/5000][160/535][5506] Loss_D: -0.054861 Loss_G: 0.062775 Loss_D_real: -0.056727 Loss_D_fake -0.001866
[57/5000][165/535][5507] Loss_D: -0.056820 Loss_G: 0.024722 Loss_D_real: -0.026404 Loss_D_fake 0.030416
[57/5000][170/535][5508] Loss_D: -0.059987 Loss_G: 0.041199 Loss_D_real: -0.038525 Loss_D_fake 0.021462
[57/5000][175/535][5509] Loss_D: -0.056672 Loss_G: 0.000889 Loss_D_real: -0.015995 Loss_D_fake 0.040676
[57/5000][180/535][5510] Loss_D: -0.054868 Loss_G: 0.045573 Loss_D_real: -0.049933 Loss_D_fake 0.004935
[57/5000][185/535][5511] Loss_D: -0.058794 Loss_G: 0.027886 Loss_D_real: -0.030000 Loss_D_fake 0.028794
[57/5000][190/535][5512] Loss_D: -0.058616 Loss_G: 0.037574 Loss_D_real: -0.038407 Loss_D_fake 0.020208
[57/5000][195/535][5513] Loss_D: -0.059818 Loss_G: 0.014096 Loss_D_real: -0.026149 Loss_D_fake 0.033668
[57/5000][200/535][5514] Loss_D: -0.059938 Loss_G: 0.049171 Loss_D_real: -0.046156 Loss_D_fake 0.013783
[57/5000][205/535][5515] Loss_D: -0.058219 Loss_G: 0.005297 Loss_D_real: -0.014096 Loss_D_fake 0.044122
[57/5000][210/535][5516] Loss_D: -0.056401 Loss_G: 0.035181 Loss_D_real: -0.041887 Loss_D_fake 0.014514
[57/5000][215/535][5517] Loss_D: -0.057519 Loss_G: 0.018342 Loss_D_real: -0.022362 Loss_D_fake 0.035157
[57/5000][220/535][5518] Loss_D: -0.059049 Loss_G: 0.041736 Loss_D_real: -0.040625 Loss_D_fake 0.018424
[57/5000][225/535][5519] Loss_D: -0.059584 Loss_G: 0.014815 Loss_D_real: -0.023942 Loss_D_fake 0.035642
[57/5000][230/535][5520] Loss_D: -0.055961 Loss_G: 0.047942 Loss_D_real: -0.046081 Loss_D_fake 0.009880
[57/5000][235/535][5521] Loss_D: -0.060229 Loss_G: 0.041403 Loss_D_real: -0.036179 Loss_D_fake 0.024050
[57/5000][240/535][5522] Loss_D: -0.062069 Loss_G: 0.038117 Loss_D_real: -0.036322 Loss_D_fake 0.025748
[57/5000][245/535][5523] Loss_D: -0.054063 Loss_G: 0.060221 Loss_D_real: -0.053007 Loss_D_fake 0.001056
[57/5000][250/535][5524] Loss_D: -0.056785 Loss_G: 0.026379 Loss_D_real: -0.024174 Loss_D_fake 0.032611
[57/5000][255/535][5525] Loss_D: -0.056945 Loss_G: 0.031429 Loss_D_real: -0.029483 Loss_D_fake 0.027463
[57/5000][260/535][5526] Loss_D: -0.058588 Loss_G: 0.045050 Loss_D_real: -0.045258 Loss_D_fake 0.013330
[57/5000][265/535][5527] Loss_D: -0.060454 Loss_G: 0.033568 Loss_D_real: -0.034190 Loss_D_fake 0.026264
[57/5000][270/535][5528] Loss_D: -0.061060 Loss_G: 0.030645 Loss_D_real: -0.032038 Loss_D_fake 0.029022
[57/5000][275/535][5529] Loss_D: -0.059533 Loss_G: 0.042167 Loss_D_real: -0.038164 Loss_D_fake 0.021369
[57/5000][280/535][5530] Loss_D: -0.061372 Loss_G: 0.013397 Loss_D_real: -0.024757 Loss_D_fake 0.036615
[57/5000][285/535][5531] Loss_D: -0.052313 Loss_G: 0.058679 Loss_D_real: -0.059235 Loss_D_fake -0.006922
[57/5000][290/535][5532] Loss_D: -0.056631 Loss_G: 0.011771 Loss_D_real: -0.015300 Loss_D_fake 0.041331
[57/5000][295/535][5533] Loss_D: -0.054317 Loss_G: 0.044700 Loss_D_real: -0.049307 Loss_D_fake 0.005010
[57/5000][300/535][5534] Loss_D: -0.055084 Loss_G: -0.001442 Loss_D_real: -0.008249 Loss_D_fake 0.046835
[57/5000][305/535][5535] Loss_D: -0.055736 Loss_G: 0.040539 Loss_D_real: -0.045352 Loss_D_fake 0.010384
[57/5000][310/535][5536] Loss_D: -0.057120 Loss_G: 0.020497 Loss_D_real: -0.026790 Loss_D_fake 0.030329
[57/5000][315/535][5537] Loss_D: -0.057562 Loss_G: 0.023690 Loss_D_real: -0.028790 Loss_D_fake 0.028771
[57/5000][320/535][5538] Loss_D: -0.059078 Loss_G: 0.025330 Loss_D_real: -0.028297 Loss_D_fake 0.030781
[57/5000][325/535][5539] Loss_D: -0.062061 Loss_G: 0.046592 Loss_D_real: -0.045691 Loss_D_fake 0.016371
[57/5000][330/535][5540] Loss_D: -0.061241 Loss_G: 0.019067 Loss_D_real: -0.028459 Loss_D_fake 0.032782
[57/5000][335/535][5541] Loss_D: -0.064586 Loss_G: 0.041138 Loss_D_real: -0.038627 Loss_D_fake 0.025959
[57/5000][340/535][5542] Loss_D: -0.062762 Loss_G: 0.016232 Loss_D_real: -0.019416 Loss_D_fake 0.043346
[57/5000][345/535][5543] Loss_D: -0.058433 Loss_G: 0.045795 Loss_D_real: -0.047811 Loss_D_fake 0.010621
[57/5000][350/535][5544] Loss_D: -0.062549 Loss_G: 0.021015 Loss_D_real: -0.033092 Loss_D_fake 0.029458
[57/5000][355/535][5545] Loss_D: -0.058646 Loss_G: 0.049325 Loss_D_real: -0.051390 Loss_D_fake 0.007257
[57/5000][360/535][5546] Loss_D: -0.057017 Loss_G: 0.010643 Loss_D_real: -0.021801 Loss_D_fake 0.035216
[57/5000][365/535][5547] Loss_D: -0.057488 Loss_G: 0.031760 Loss_D_real: -0.031257 Loss_D_fake 0.026231
[57/5000][370/535][5548] Loss_D: -0.059271 Loss_G: 0.011356 Loss_D_real: -0.021648 Loss_D_fake 0.037623
[57/5000][375/535][5549] Loss_D: -0.059446 Loss_G: 0.042079 Loss_D_real: -0.043862 Loss_D_fake 0.015583
[57/5000][380/535][5550] Loss_D: -0.057282 Loss_G: 0.012586 Loss_D_real: -0.020957 Loss_D_fake 0.036325
[57/5000][385/535][5551] Loss_D: -0.056235 Loss_G: 0.048228 Loss_D_real: -0.050658 Loss_D_fake 0.005577
[57/5000][390/535][5552] Loss_D: -0.059419 Loss_G: 0.034826 Loss_D_real: -0.037848 Loss_D_fake 0.021571
[57/5000][395/535][5553] Loss_D: -0.057442 Loss_G: 0.042319 Loss_D_real: -0.037668 Loss_D_fake 0.019775
[57/5000][400/535][5554] Loss_D: -0.057722 Loss_G: 0.055370 Loss_D_real: -0.047886 Loss_D_fake 0.009836
[57/5000][405/535][5555] Loss_D: -0.057817 Loss_G: 0.012356 Loss_D_real: -0.020534 Loss_D_fake 0.037283
[57/5000][410/535][5556] Loss_D: -0.055525 Loss_G: 0.049986 Loss_D_real: -0.047532 Loss_D_fake 0.007993
[57/5000][415/535][5557] Loss_D: -0.059554 Loss_G: 0.031706 Loss_D_real: -0.033709 Loss_D_fake 0.025845
[57/5000][420/535][5558] Loss_D: -0.056400 Loss_G: 0.061062 Loss_D_real: -0.054845 Loss_D_fake 0.001555
[57/5000][425/535][5559] Loss_D: -0.054241 Loss_G: -0.011372 Loss_D_real: -0.004717 Loss_D_fake 0.049524
[57/5000][430/535][5560] Loss_D: -0.054109 Loss_G: 0.044982 Loss_D_real: -0.044295 Loss_D_fake 0.009814
[57/5000][435/535][5561] Loss_D: -0.058621 Loss_G: 0.018227 Loss_D_real: -0.025427 Loss_D_fake 0.033193
[57/5000][440/535][5562] Loss_D: -0.060602 Loss_G: 0.033264 Loss_D_real: -0.037488 Loss_D_fake 0.023114
[57/5000][445/535][5563] Loss_D: -0.059907 Loss_G: 0.036628 Loss_D_real: -0.037029 Loss_D_fake 0.022878
[57/5000][450/535][5564] Loss_D: -0.061781 Loss_G: 0.049818 Loss_D_real: -0.047916 Loss_D_fake 0.013865
[57/5000][455/535][5565] Loss_D: -0.060337 Loss_G: 0.009150 Loss_D_real: -0.018401 Loss_D_fake 0.041936
[57/5000][460/535][5566] Loss_D: -0.059288 Loss_G: 0.050360 Loss_D_real: -0.050911 Loss_D_fake 0.008378
[57/5000][465/535][5567] Loss_D: -0.059918 Loss_G: 0.041871 Loss_D_real: -0.034626 Loss_D_fake 0.025292
[57/5000][470/535][5568] Loss_D: -0.061813 Loss_G: 0.017396 Loss_D_real: -0.024762 Loss_D_fake 0.037051
[57/5000][475/535][5569] Loss_D: -0.058265 Loss_G: 0.057699 Loss_D_real: -0.053488 Loss_D_fake 0.004777
[57/5000][480/535][5570] Loss_D: -0.056386 Loss_G: -0.000706 Loss_D_real: -0.010809 Loss_D_fake 0.045577
[57/5000][485/535][5571] Loss_D: -0.055219 Loss_G: 0.045971 Loss_D_real: -0.048374 Loss_D_fake 0.006845
[57/5000][490/535][5572] Loss_D: -0.057438 Loss_G: 0.013759 Loss_D_real: -0.019004 Loss_D_fake 0.038434
[57/5000][495/535][5573] Loss_D: -0.058132 Loss_G: 0.046870 Loss_D_real: -0.040620 Loss_D_fake 0.017512
[57/5000][500/535][5574] Loss_D: -0.060517 Loss_G: 0.009583 Loss_D_real: -0.025432 Loss_D_fake 0.035084
[57/5000][505/535][5575] Loss_D: -0.058022 Loss_G: 0.042984 Loss_D_real: -0.048853 Loss_D_fake 0.009169
[57/5000][510/535][5576] Loss_D: -0.059408 Loss_G: 0.035531 Loss_D_real: -0.040157 Loss_D_fake 0.019251
[57/5000][515/535][5577] Loss_D: -0.061285 Loss_G: 0.042205 Loss_D_real: -0.040110 Loss_D_fake 0.021175
[57/5000][520/535][5578] Loss_D: -0.058376 Loss_G: -0.004836 Loss_D_real: -0.010585 Loss_D_fake 0.047790
[57/5000][525/535][5579] Loss_D: -0.057168 Loss_G: 0.040050 Loss_D_real: -0.049786 Loss_D_fake 0.007383
[57/5000][530/535][5580] Loss_D: -0.059530 Loss_G: 0.043002 Loss_D_real: -0.037710 Loss_D_fake 0.021819
[57/5000][535/535][5581] Loss_D: -0.058006 Loss_G: 0.046343 Loss_D_real: -0.032884 Loss_D_fake 0.025122
[58/5000][5/535][5582] Loss_D: -0.061180 Loss_G: 0.017563 Loss_D_real: -0.024408 Loss_D_fake 0.036772
[58/5000][10/535][5583] Loss_D: -0.056979 Loss_G: 0.054415 Loss_D_real: -0.048066 Loss_D_fake 0.008913
[58/5000][15/535][5584] Loss_D: -0.055711 Loss_G: -0.000951 Loss_D_real: -0.004480 Loss_D_fake 0.051231
[58/5000][20/535][5585] Loss_D: -0.054729 Loss_G: 0.040379 Loss_D_real: -0.049331 Loss_D_fake 0.005398
[58/5000][25/535][5586] Loss_D: -0.059225 Loss_G: 0.017385 Loss_D_real: -0.024512 Loss_D_fake 0.034713
[58/5000][30/535][5587] Loss_D: -0.058681 Loss_G: 0.026846 Loss_D_real: -0.028715 Loss_D_fake 0.029966
[58/5000][35/535][5588] Loss_D: -0.057027 Loss_G: 0.022459 Loss_D_real: -0.027757 Loss_D_fake 0.029270
[58/5000][40/535][5589] Loss_D: -0.057478 Loss_G: 0.034279 Loss_D_real: -0.036068 Loss_D_fake 0.021410
[58/5000][45/535][5590] Loss_D: -0.058534 Loss_G: 0.020281 Loss_D_real: -0.028590 Loss_D_fake 0.029944
[58/5000][50/535][5591] Loss_D: -0.057781 Loss_G: 0.053615 Loss_D_real: -0.048941 Loss_D_fake 0.008840
[58/5000][55/535][5592] Loss_D: -0.058626 Loss_G: 0.044957 Loss_D_real: -0.040597 Loss_D_fake 0.018029
[58/5000][60/535][5593] Loss_D: -0.059012 Loss_G: 0.014551 Loss_D_real: -0.015421 Loss_D_fake 0.043592
[58/5000][65/535][5594] Loss_D: -0.054639 Loss_G: 0.060313 Loss_D_real: -0.058544 Loss_D_fake -0.003905
[58/5000][70/535][5595] Loss_D: -0.057317 Loss_G: 0.041040 Loss_D_real: -0.038009 Loss_D_fake 0.019308
[58/5000][75/535][5596] Loss_D: -0.060217 Loss_G: 0.038677 Loss_D_real: -0.042128 Loss_D_fake 0.018089
[58/5000][80/535][5597] Loss_D: -0.060045 Loss_G: 0.016272 Loss_D_real: -0.026522 Loss_D_fake 0.033523
[58/5000][85/535][5598] Loss_D: -0.054686 Loss_G: 0.061821 Loss_D_real: -0.059307 Loss_D_fake -0.004621
[58/5000][90/535][5599] Loss_D: -0.056224 Loss_G: 0.011623 Loss_D_real: -0.019646 Loss_D_fake 0.036578
[58/5000][95/535][5600] Loss_D: -0.058255 Loss_G: 0.036886 Loss_D_real: -0.043632 Loss_D_fake 0.014623
[58/5000][100/535][5601] Loss_D: -0.060230 Loss_G: 0.039243 Loss_D_real: -0.038853 Loss_D_fake 0.021377
[58/5000][105/535][5602] Loss_D: -0.060857 Loss_G: 0.048446 Loss_D_real: -0.049562 Loss_D_fake 0.011295
[58/5000][110/535][5603] Loss_D: -0.058611 Loss_G: 0.025861 Loss_D_real: -0.030951 Loss_D_fake 0.027660
[58/5000][115/535][5604] Loss_D: -0.058355 Loss_G: 0.051914 Loss_D_real: -0.049551 Loss_D_fake 0.008805
[58/5000][120/535][5605] Loss_D: -0.056448 Loss_G: 0.023418 Loss_D_real: -0.029098 Loss_D_fake 0.027350
[58/5000][125/535][5606] Loss_D: -0.060515 Loss_G: 0.021284 Loss_D_real: -0.029900 Loss_D_fake 0.030616
[58/5000][130/535][5607] Loss_D: -0.058162 Loss_G: 0.049588 Loss_D_real: -0.049560 Loss_D_fake 0.008602
[58/5000][135/535][5608] Loss_D: -0.058672 Loss_G: 0.026515 Loss_D_real: -0.029364 Loss_D_fake 0.029308
[58/5000][140/535][5609] Loss_D: -0.058726 Loss_G: 0.014280 Loss_D_real: -0.026702 Loss_D_fake 0.032024
[58/5000][145/535][5610] Loss_D: -0.056607 Loss_G: 0.040103 Loss_D_real: -0.038441 Loss_D_fake 0.018166
[58/5000][150/535][5611] Loss_D: -0.057860 Loss_G: 0.006914 Loss_D_real: -0.018997 Loss_D_fake 0.038863
[58/5000][155/535][5612] Loss_D: -0.057003 Loss_G: 0.047756 Loss_D_real: -0.046134 Loss_D_fake 0.010868
[58/5000][160/535][5613] Loss_D: -0.058256 Loss_G: -0.004972 Loss_D_real: -0.009118 Loss_D_fake 0.049139
[58/5000][165/535][5614] Loss_D: -0.053726 Loss_G: 0.051047 Loss_D_real: -0.048537 Loss_D_fake 0.005190
[58/5000][170/535][5615] Loss_D: -0.055315 Loss_G: 0.009035 Loss_D_real: -0.015236 Loss_D_fake 0.040078
[58/5000][175/535][5616] Loss_D: -0.058758 Loss_G: 0.041922 Loss_D_real: -0.048952 Loss_D_fake 0.009806
[58/5000][180/535][5617] Loss_D: -0.062369 Loss_G: 0.019549 Loss_D_real: -0.024671 Loss_D_fake 0.037698
[58/5000][185/535][5618] Loss_D: -0.062510 Loss_G: 0.049020 Loss_D_real: -0.052727 Loss_D_fake 0.009783
[58/5000][190/535][5619] Loss_D: -0.061681 Loss_G: 0.025091 Loss_D_real: -0.031377 Loss_D_fake 0.030304
[58/5000][195/535][5620] Loss_D: -0.062470 Loss_G: 0.042108 Loss_D_real: -0.044526 Loss_D_fake 0.017944
[58/5000][200/535][5621] Loss_D: -0.059652 Loss_G: 0.010241 Loss_D_real: -0.020751 Loss_D_fake 0.038901
[58/5000][205/535][5622] Loss_D: -0.058265 Loss_G: 0.046486 Loss_D_real: -0.050127 Loss_D_fake 0.008138
[58/5000][210/535][5623] Loss_D: -0.057658 Loss_G: 0.021971 Loss_D_real: -0.024830 Loss_D_fake 0.032828
[58/5000][215/535][5624] Loss_D: -0.058993 Loss_G: 0.040916 Loss_D_real: -0.043749 Loss_D_fake 0.015244
[58/5000][220/535][5625] Loss_D: -0.058835 Loss_G: 0.034404 Loss_D_real: -0.038405 Loss_D_fake 0.020430
[58/5000][225/535][5626] Loss_D: -0.058726 Loss_G: 0.037897 Loss_D_real: -0.040398 Loss_D_fake 0.018327
[58/5000][230/535][5627] Loss_D: -0.056637 Loss_G: 0.022177 Loss_D_real: -0.029509 Loss_D_fake 0.027127
[58/5000][235/535][5628] Loss_D: -0.057266 Loss_G: 0.038449 Loss_D_real: -0.041202 Loss_D_fake 0.016064
[58/5000][240/535][5629] Loss_D: -0.059774 Loss_G: 0.032112 Loss_D_real: -0.034374 Loss_D_fake 0.025399
[58/5000][245/535][5630] Loss_D: -0.056403 Loss_G: 0.031516 Loss_D_real: -0.037901 Loss_D_fake 0.018502
[58/5000][250/535][5631] Loss_D: -0.054089 Loss_G: 0.064636 Loss_D_real: -0.060027 Loss_D_fake -0.005938
[58/5000][255/535][5632] Loss_D: -0.055379 Loss_G: 0.000090 Loss_D_real: -0.008532 Loss_D_fake 0.046847
[58/5000][260/535][5633] Loss_D: -0.054594 Loss_G: 0.041154 Loss_D_real: -0.046666 Loss_D_fake 0.007928
[58/5000][265/535][5634] Loss_D: -0.054022 Loss_G: 0.022753 Loss_D_real: -0.024344 Loss_D_fake 0.029678
[58/5000][270/535][5635] Loss_D: -0.056003 Loss_G: 0.051035 Loss_D_real: -0.050073 Loss_D_fake 0.005930
[58/5000][275/535][5636] Loss_D: -0.057251 Loss_G: 0.014383 Loss_D_real: -0.025472 Loss_D_fake 0.031779
[58/5000][280/535][5637] Loss_D: -0.057988 Loss_G: 0.051107 Loss_D_real: -0.049166 Loss_D_fake 0.008822
[58/5000][285/535][5638] Loss_D: -0.059946 Loss_G: 0.027001 Loss_D_real: -0.029586 Loss_D_fake 0.030360
[58/5000][290/535][5639] Loss_D: -0.058243 Loss_G: 0.058559 Loss_D_real: -0.059724 Loss_D_fake -0.001481
[58/5000][295/535][5640] Loss_D: -0.053717 Loss_G: 0.000188 Loss_D_real: -0.003869 Loss_D_fake 0.049848
[58/5000][300/535][5641] Loss_D: -0.055613 Loss_G: 0.032000 Loss_D_real: -0.041180 Loss_D_fake 0.014433
[58/5000][305/535][5642] Loss_D: -0.060153 Loss_G: 0.049457 Loss_D_real: -0.043454 Loss_D_fake 0.016699
[58/5000][310/535][5643] Loss_D: -0.060362 Loss_G: 0.033633 Loss_D_real: -0.035813 Loss_D_fake 0.024549
[58/5000][315/535][5644] Loss_D: -0.058934 Loss_G: 0.058538 Loss_D_real: -0.054956 Loss_D_fake 0.003978
[58/5000][320/535][5645] Loss_D: -0.058878 Loss_G: 0.031030 Loss_D_real: -0.029935 Loss_D_fake 0.028943
[58/5000][325/535][5646] Loss_D: -0.058508 Loss_G: 0.039485 Loss_D_real: -0.040296 Loss_D_fake 0.018213
[58/5000][330/535][5647] Loss_D: -0.059871 Loss_G: 0.039174 Loss_D_real: -0.035346 Loss_D_fake 0.024525
[58/5000][335/535][5648] Loss_D: -0.059950 Loss_G: 0.030852 Loss_D_real: -0.030629 Loss_D_fake 0.029322
[58/5000][340/535][5649] Loss_D: -0.059572 Loss_G: 0.026964 Loss_D_real: -0.026738 Loss_D_fake 0.032833
[58/5000][345/535][5650] Loss_D: -0.058908 Loss_G: 0.046084 Loss_D_real: -0.043731 Loss_D_fake 0.015177
[58/5000][350/535][5651] Loss_D: -0.060725 Loss_G: 0.022865 Loss_D_real: -0.031870 Loss_D_fake 0.028854
[58/5000][355/535][5652] Loss_D: -0.058044 Loss_G: 0.050584 Loss_D_real: -0.044663 Loss_D_fake 0.013381
[58/5000][360/535][5653] Loss_D: -0.055596 Loss_G: 0.000304 Loss_D_real: -0.011427 Loss_D_fake 0.044170
[58/5000][365/535][5654] Loss_D: -0.053223 Loss_G: 0.052090 Loss_D_real: -0.055664 Loss_D_fake -0.002441
[58/5000][370/535][5655] Loss_D: -0.057367 Loss_G: 0.006959 Loss_D_real: -0.019127 Loss_D_fake 0.038240
[58/5000][375/535][5656] Loss_D: -0.057644 Loss_G: 0.047509 Loss_D_real: -0.048387 Loss_D_fake 0.009257
[58/5000][380/535][5657] Loss_D: -0.059193 Loss_G: 0.041902 Loss_D_real: -0.038822 Loss_D_fake 0.020371
[58/5000][385/535][5658] Loss_D: -0.060585 Loss_G: 0.017237 Loss_D_real: -0.027323 Loss_D_fake 0.033262
[58/5000][390/535][5659] Loss_D: -0.056037 Loss_G: 0.062140 Loss_D_real: -0.062205 Loss_D_fake -0.006168
[58/5000][395/535][5660] Loss_D: -0.057590 Loss_G: 0.007973 Loss_D_real: -0.020350 Loss_D_fake 0.037240
[58/5000][400/535][5661] Loss_D: -0.054552 Loss_G: 0.054245 Loss_D_real: -0.053790 Loss_D_fake 0.000762
[58/5000][405/535][5662] Loss_D: -0.058243 Loss_G: 0.030169 Loss_D_real: -0.032030 Loss_D_fake 0.026212
[58/5000][410/535][5663] Loss_D: -0.059348 Loss_G: 0.039934 Loss_D_real: -0.039034 Loss_D_fake 0.020314
[58/5000][415/535][5664] Loss_D: -0.058860 Loss_G: 0.031499 Loss_D_real: -0.034991 Loss_D_fake 0.023869
[58/5000][420/535][5665] Loss_D: -0.060843 Loss_G: 0.032192 Loss_D_real: -0.033948 Loss_D_fake 0.026895
[58/5000][425/535][5666] Loss_D: -0.059894 Loss_G: 0.014934 Loss_D_real: -0.022539 Loss_D_fake 0.037354
[58/5000][430/535][5667] Loss_D: -0.057675 Loss_G: 0.043118 Loss_D_real: -0.038416 Loss_D_fake 0.019259
[58/5000][435/535][5668] Loss_D: -0.056908 Loss_G: 0.012450 Loss_D_real: -0.019502 Loss_D_fake 0.037406
[58/5000][440/535][5669] Loss_D: -0.060034 Loss_G: 0.040639 Loss_D_real: -0.038388 Loss_D_fake 0.021645
[58/5000][445/535][5670] Loss_D: -0.057524 Loss_G: 0.044026 Loss_D_real: -0.042012 Loss_D_fake 0.015512
[58/5000][450/535][5671] Loss_D: -0.060195 Loss_G: 0.012930 Loss_D_real: -0.018951 Loss_D_fake 0.041244
[58/5000][455/535][5672] Loss_D: -0.056032 Loss_G: 0.053280 Loss_D_real: -0.052421 Loss_D_fake 0.003611
[58/5000][460/535][5673] Loss_D: -0.055440 Loss_G: -0.002628 Loss_D_real: -0.008030 Loss_D_fake 0.047410
[58/5000][465/535][5674] Loss_D: -0.056200 Loss_G: 0.036002 Loss_D_real: -0.039226 Loss_D_fake 0.016973
[58/5000][470/535][5675] Loss_D: -0.058398 Loss_G: 0.021978 Loss_D_real: -0.027345 Loss_D_fake 0.031053
[58/5000][475/535][5676] Loss_D: -0.057171 Loss_G: 0.043292 Loss_D_real: -0.046960 Loss_D_fake 0.010211
[58/5000][480/535][5677] Loss_D: -0.059158 Loss_G: 0.006272 Loss_D_real: -0.022026 Loss_D_fake 0.037132
[58/5000][485/535][5678] Loss_D: -0.055952 Loss_G: 0.056462 Loss_D_real: -0.050144 Loss_D_fake 0.005808
[58/5000][490/535][5679] Loss_D: -0.055100 Loss_G: 0.001340 Loss_D_real: -0.013764 Loss_D_fake 0.041337
[58/5000][495/535][5680] Loss_D: -0.055184 Loss_G: 0.040406 Loss_D_real: -0.041208 Loss_D_fake 0.013976
[58/5000][500/535][5681] Loss_D: -0.055246 Loss_G: 0.052645 Loss_D_real: -0.048021 Loss_D_fake 0.007225
[58/5000][505/535][5682] Loss_D: -0.058941 Loss_G: 0.010875 Loss_D_real: -0.023289 Loss_D_fake 0.035652
[58/5000][510/535][5683] Loss_D: -0.057772 Loss_G: 0.051470 Loss_D_real: -0.047295 Loss_D_fake 0.010477
[58/5000][515/535][5684] Loss_D: -0.057917 Loss_G: 0.014887 Loss_D_real: -0.024893 Loss_D_fake 0.033024
[58/5000][520/535][5685] Loss_D: -0.058607 Loss_G: 0.048279 Loss_D_real: -0.045118 Loss_D_fake 0.013489
[58/5000][525/535][5686] Loss_D: -0.057796 Loss_G: 0.006816 Loss_D_real: -0.014774 Loss_D_fake 0.043022
[58/5000][530/535][5687] Loss_D: -0.054879 Loss_G: 0.049167 Loss_D_real: -0.048108 Loss_D_fake 0.006770
[58/5000][535/535][5688] Loss_D: -0.051180 Loss_G: 0.011994 Loss_D_real: -0.011726 Loss_D_fake 0.039453
[59/5000][5/535][5689] Loss_D: -0.056897 Loss_G: 0.031290 Loss_D_real: -0.034146 Loss_D_fake 0.022751
[59/5000][10/535][5690] Loss_D: -0.060470 Loss_G: 0.039504 Loss_D_real: -0.039604 Loss_D_fake 0.020866
[59/5000][15/535][5691] Loss_D: -0.060152 Loss_G: 0.013154 Loss_D_real: -0.027987 Loss_D_fake 0.032165
[59/5000][20/535][5692] Loss_D: -0.056088 Loss_G: 0.060737 Loss_D_real: -0.057153 Loss_D_fake -0.001064
[59/5000][25/535][5693] Loss_D: -0.056441 Loss_G: 0.004089 Loss_D_real: -0.010694 Loss_D_fake 0.045747
[59/5000][30/535][5694] Loss_D: -0.053136 Loss_G: 0.042021 Loss_D_real: -0.041654 Loss_D_fake 0.011482
[59/5000][35/535][5695] Loss_D: -0.056141 Loss_G: 0.018497 Loss_D_real: -0.021829 Loss_D_fake 0.034311
[59/5000][40/535][5696] Loss_D: -0.060115 Loss_G: 0.045612 Loss_D_real: -0.045930 Loss_D_fake 0.014185
[59/5000][45/535][5697] Loss_D: -0.058096 Loss_G: 0.040698 Loss_D_real: -0.037107 Loss_D_fake 0.020989
[59/5000][50/535][5698] Loss_D: -0.059240 Loss_G: 0.034830 Loss_D_real: -0.037385 Loss_D_fake 0.021855
[59/5000][55/535][5699] Loss_D: -0.057906 Loss_G: 0.022081 Loss_D_real: -0.028777 Loss_D_fake 0.029129
[59/5000][60/535][5700] Loss_D: -0.057564 Loss_G: 0.053384 Loss_D_real: -0.048341 Loss_D_fake 0.009223
[59/5000][65/535][5701] Loss_D: -0.058721 Loss_G: 0.009311 Loss_D_real: -0.020052 Loss_D_fake 0.038669
[59/5000][70/535][5702] Loss_D: -0.055329 Loss_G: 0.044096 Loss_D_real: -0.040320 Loss_D_fake 0.015009
[59/5000][75/535][5703] Loss_D: -0.055532 Loss_G: 0.016119 Loss_D_real: -0.016025 Loss_D_fake 0.039507
[59/5000][80/535][5704] Loss_D: -0.057258 Loss_G: 0.017261 Loss_D_real: -0.025188 Loss_D_fake 0.032070
[59/5000][85/535][5705] Loss_D: -0.058028 Loss_G: 0.031566 Loss_D_real: -0.038621 Loss_D_fake 0.019406
[59/5000][90/535][5706] Loss_D: -0.059614 Loss_G: 0.024416 Loss_D_real: -0.028930 Loss_D_fake 0.030684
[59/5000][95/535][5707] Loss_D: -0.059812 Loss_G: 0.034538 Loss_D_real: -0.038674 Loss_D_fake 0.021138
[59/5000][100/535][5708] Loss_D: -0.058075 Loss_G: 0.053997 Loss_D_real: -0.050271 Loss_D_fake 0.007804
[59/5000][105/535][5709] Loss_D: -0.055344 Loss_G: 0.011832 Loss_D_real: -0.012769 Loss_D_fake 0.042575
[59/5000][110/535][5710] Loss_D: -0.057861 Loss_G: 0.036655 Loss_D_real: -0.040316 Loss_D_fake 0.017546
[59/5000][115/535][5711] Loss_D: -0.060611 Loss_G: 0.008932 Loss_D_real: -0.018924 Loss_D_fake 0.041687
[59/5000][120/535][5712] Loss_D: -0.063521 Loss_G: 0.052275 Loss_D_real: -0.051251 Loss_D_fake 0.012270
[59/5000][125/535][5713] Loss_D: -0.059317 Loss_G: 0.010352 Loss_D_real: -0.021095 Loss_D_fake 0.038222
[59/5000][130/535][5714] Loss_D: -0.060851 Loss_G: 0.054478 Loss_D_real: -0.053420 Loss_D_fake 0.007430
[59/5000][135/535][5715] Loss_D: -0.058012 Loss_G: 0.020939 Loss_D_real: -0.030774 Loss_D_fake 0.027238
[59/5000][140/535][5716] Loss_D: -0.061483 Loss_G: 0.041190 Loss_D_real: -0.040694 Loss_D_fake 0.020790
[59/5000][145/535][5717] Loss_D: -0.060523 Loss_G: 0.022998 Loss_D_real: -0.028974 Loss_D_fake 0.031549
[59/5000][150/535][5718] Loss_D: -0.058322 Loss_G: 0.040257 Loss_D_real: -0.044091 Loss_D_fake 0.014231
[59/5000][155/535][5719] Loss_D: -0.058984 Loss_G: 0.034930 Loss_D_real: -0.036569 Loss_D_fake 0.022415
[59/5000][160/535][5720] Loss_D: -0.059956 Loss_G: 0.010046 Loss_D_real: -0.018763 Loss_D_fake 0.041193
[59/5000][165/535][5721] Loss_D: -0.057737 Loss_G: 0.050391 Loss_D_real: -0.049010 Loss_D_fake 0.008727
[59/5000][170/535][5722] Loss_D: -0.057570 Loss_G: 0.014611 Loss_D_real: -0.020506 Loss_D_fake 0.037064
[59/5000][175/535][5723] Loss_D: -0.057493 Loss_G: 0.014222 Loss_D_real: -0.023519 Loss_D_fake 0.033973
[59/5000][180/535][5724] Loss_D: -0.059962 Loss_G: 0.040175 Loss_D_real: -0.046202 Loss_D_fake 0.013760
[59/5000][185/535][5725] Loss_D: -0.056361 Loss_G: 0.009516 Loss_D_real: -0.016967 Loss_D_fake 0.039394
[59/5000][190/535][5726] Loss_D: -0.056801 Loss_G: 0.033873 Loss_D_real: -0.035033 Loss_D_fake 0.021768
[59/5000][195/535][5727] Loss_D: -0.056821 Loss_G: 0.024998 Loss_D_real: -0.031571 Loss_D_fake 0.025250
[59/5000][200/535][5728] Loss_D: -0.058265 Loss_G: 0.041341 Loss_D_real: -0.043848 Loss_D_fake 0.014417
[59/5000][205/535][5729] Loss_D: -0.056306 Loss_G: 0.014964 Loss_D_real: -0.028672 Loss_D_fake 0.027634
[59/5000][210/535][5730] Loss_D: -0.057157 Loss_G: 0.042473 Loss_D_real: -0.048081 Loss_D_fake 0.009076
[59/5000][215/535][5731] Loss_D: -0.059004 Loss_G: 0.018300 Loss_D_real: -0.028541 Loss_D_fake 0.030463
[59/5000][220/535][5732] Loss_D: -0.056462 Loss_G: 0.052001 Loss_D_real: -0.053197 Loss_D_fake 0.003266
[59/5000][225/535][5733] Loss_D: -0.056924 Loss_G: -0.005347 Loss_D_real: -0.004065 Loss_D_fake 0.052858
[59/5000][230/535][5734] Loss_D: -0.057116 Loss_G: 0.043969 Loss_D_real: -0.044979 Loss_D_fake 0.012137
[59/5000][235/535][5735] Loss_D: -0.059258 Loss_G: 0.050828 Loss_D_real: -0.046144 Loss_D_fake 0.013114
[59/5000][240/535][5736] Loss_D: -0.057201 Loss_G: -0.002267 Loss_D_real: -0.010654 Loss_D_fake 0.046547
[59/5000][245/535][5737] Loss_D: -0.057852 Loss_G: 0.044408 Loss_D_real: -0.050544 Loss_D_fake 0.007308
[59/5000][250/535][5738] Loss_D: -0.059208 Loss_G: 0.052279 Loss_D_real: -0.051505 Loss_D_fake 0.007704
[59/5000][255/535][5739] Loss_D: -0.058477 Loss_G: 0.008861 Loss_D_real: -0.014429 Loss_D_fake 0.044048
[59/5000][260/535][5740] Loss_D: -0.054863 Loss_G: 0.055111 Loss_D_real: -0.053885 Loss_D_fake 0.000978
[59/5000][265/535][5741] Loss_D: -0.058541 Loss_G: 0.026960 Loss_D_real: -0.023212 Loss_D_fake 0.035329
[59/5000][270/535][5742] Loss_D: -0.059004 Loss_G: 0.039970 Loss_D_real: -0.040895 Loss_D_fake 0.018108
[59/5000][275/535][5743] Loss_D: -0.059841 Loss_G: 0.042912 Loss_D_real: -0.039251 Loss_D_fake 0.020590
[59/5000][280/535][5744] Loss_D: -0.060611 Loss_G: 0.044147 Loss_D_real: -0.039702 Loss_D_fake 0.020909
[59/5000][285/535][5745] Loss_D: -0.058170 Loss_G: 0.020931 Loss_D_real: -0.028553 Loss_D_fake 0.029617
[59/5000][290/535][5746] Loss_D: -0.061032 Loss_G: 0.023566 Loss_D_real: -0.029281 Loss_D_fake 0.031751
[59/5000][295/535][5747] Loss_D: -0.060474 Loss_G: 0.040995 Loss_D_real: -0.036770 Loss_D_fake 0.023704
[59/5000][300/535][5748] Loss_D: -0.058817 Loss_G: -0.001766 Loss_D_real: -0.016354 Loss_D_fake 0.042463
[59/5000][305/535][5749] Loss_D: -0.054234 Loss_G: 0.052526 Loss_D_real: -0.053545 Loss_D_fake 0.000689
[59/5000][310/535][5750] Loss_D: -0.060946 Loss_G: 0.039578 Loss_D_real: -0.038040 Loss_D_fake 0.022906
[59/5000][315/535][5751] Loss_D: -0.058808 Loss_G: 0.038995 Loss_D_real: -0.038984 Loss_D_fake 0.019823
[59/5000][320/535][5752] Loss_D: -0.060224 Loss_G: 0.012044 Loss_D_real: -0.025785 Loss_D_fake 0.034439
[59/5000][325/535][5753] Loss_D: -0.055925 Loss_G: 0.048171 Loss_D_real: -0.047818 Loss_D_fake 0.008107
[59/5000][330/535][5754] Loss_D: -0.058280 Loss_G: 0.019660 Loss_D_real: -0.027363 Loss_D_fake 0.030916
[59/5000][335/535][5755] Loss_D: -0.058849 Loss_G: 0.047353 Loss_D_real: -0.045776 Loss_D_fake 0.013072
[59/5000][340/535][5756] Loss_D: -0.057548 Loss_G: 0.002747 Loss_D_real: -0.017817 Loss_D_fake 0.039732
[59/5000][345/535][5757] Loss_D: -0.056224 Loss_G: 0.049819 Loss_D_real: -0.049963 Loss_D_fake 0.006261
[59/5000][350/535][5758] Loss_D: -0.057785 Loss_G: 0.017760 Loss_D_real: -0.019671 Loss_D_fake 0.038115
[59/5000][355/535][5759] Loss_D: -0.054726 Loss_G: 0.049236 Loss_D_real: -0.051185 Loss_D_fake 0.003541
[59/5000][360/535][5760] Loss_D: -0.055354 Loss_G: 0.034178 Loss_D_real: -0.032805 Loss_D_fake 0.022549
[59/5000][365/535][5761] Loss_D: -0.058414 Loss_G: 0.013053 Loss_D_real: -0.019602 Loss_D_fake 0.038812
[59/5000][370/535][5762] Loss_D: -0.058670 Loss_G: 0.051454 Loss_D_real: -0.048494 Loss_D_fake 0.010175
[59/5000][375/535][5763] Loss_D: -0.056672 Loss_G: 0.017058 Loss_D_real: -0.019707 Loss_D_fake 0.036965
[59/5000][380/535][5764] Loss_D: -0.054861 Loss_G: 0.056289 Loss_D_real: -0.052036 Loss_D_fake 0.002825
[59/5000][385/535][5765] Loss_D: -0.057965 Loss_G: 0.025217 Loss_D_real: -0.031989 Loss_D_fake 0.025976
[59/5000][390/535][5766] Loss_D: -0.058589 Loss_G: 0.035371 Loss_D_real: -0.035736 Loss_D_fake 0.022854
[59/5000][395/535][5767] Loss_D: -0.059636 Loss_G: 0.006778 Loss_D_real: -0.020944 Loss_D_fake 0.038691
[59/5000][400/535][5768] Loss_D: -0.055934 Loss_G: 0.061248 Loss_D_real: -0.059923 Loss_D_fake -0.003989
[59/5000][405/535][5769] Loss_D: -0.056481 Loss_G: 0.003445 Loss_D_real: -0.015671 Loss_D_fake 0.040810
[59/5000][410/535][5770] Loss_D: -0.056017 Loss_G: 0.048170 Loss_D_real: -0.046317 Loss_D_fake 0.009701
[59/5000][415/535][5771] Loss_D: -0.058070 Loss_G: 0.014830 Loss_D_real: -0.021311 Loss_D_fake 0.036759
[59/5000][420/535][5772] Loss_D: -0.056760 Loss_G: 0.041969 Loss_D_real: -0.040033 Loss_D_fake 0.016727
[59/5000][425/535][5773] Loss_D: -0.059897 Loss_G: 0.030415 Loss_D_real: -0.037671 Loss_D_fake 0.022226
[59/5000][430/535][5774] Loss_D: -0.059954 Loss_G: 0.053836 Loss_D_real: -0.046517 Loss_D_fake 0.013437
[59/5000][435/535][5775] Loss_D: -0.055541 Loss_G: 0.000147 Loss_D_real: -0.010597 Loss_D_fake 0.044945
[59/5000][440/535][5776] Loss_D: -0.053748 Loss_G: 0.042406 Loss_D_real: -0.047216 Loss_D_fake 0.006531
[59/5000][445/535][5777] Loss_D: -0.054910 Loss_G: 0.007121 Loss_D_real: -0.012774 Loss_D_fake 0.042136
[59/5000][450/535][5778] Loss_D: -0.057040 Loss_G: 0.026651 Loss_D_real: -0.036737 Loss_D_fake 0.020303
[59/5000][455/535][5779] Loss_D: -0.059981 Loss_G: 0.042785 Loss_D_real: -0.042465 Loss_D_fake 0.017516
[59/5000][460/535][5780] Loss_D: -0.058285 Loss_G: 0.022261 Loss_D_real: -0.024708 Loss_D_fake 0.033578
[59/5000][465/535][5781] Loss_D: -0.054918 Loss_G: 0.056176 Loss_D_real: -0.054754 Loss_D_fake 0.000164
[59/5000][470/535][5782] Loss_D: -0.057969 Loss_G: 0.007636 Loss_D_real: -0.016767 Loss_D_fake 0.041202
[59/5000][475/535][5783] Loss_D: -0.055752 Loss_G: 0.047708 Loss_D_real: -0.048892 Loss_D_fake 0.006860
[59/5000][480/535][5784] Loss_D: -0.058779 Loss_G: 0.021893 Loss_D_real: -0.024152 Loss_D_fake 0.034627
[59/5000][485/535][5785] Loss_D: -0.059471 Loss_G: 0.037944 Loss_D_real: -0.037187 Loss_D_fake 0.022284
[59/5000][490/535][5786] Loss_D: -0.057381 Loss_G: 0.028385 Loss_D_real: -0.030871 Loss_D_fake 0.026509
[59/5000][495/535][5787] Loss_D: -0.057127 Loss_G: 0.045081 Loss_D_real: -0.045954 Loss_D_fake 0.011173
[59/5000][500/535][5788] Loss_D: -0.056431 Loss_G: 0.005304 Loss_D_real: -0.012390 Loss_D_fake 0.044042
[59/5000][505/535][5789] Loss_D: -0.058869 Loss_G: 0.033978 Loss_D_real: -0.040927 Loss_D_fake 0.017942
[59/5000][510/535][5790] Loss_D: -0.060600 Loss_G: 0.027051 Loss_D_real: -0.035017 Loss_D_fake 0.025583
[59/5000][515/535][5791] Loss_D: -0.055686 Loss_G: 0.056096 Loss_D_real: -0.052541 Loss_D_fake 0.003146
[59/5000][520/535][5792] Loss_D: -0.056510 Loss_G: 0.019000 Loss_D_real: -0.025348 Loss_D_fake 0.031163
[59/5000][525/535][5793] Loss_D: -0.059146 Loss_G: 0.045361 Loss_D_real: -0.043413 Loss_D_fake 0.015733
[59/5000][530/535][5794] Loss_D: -0.059206 Loss_G: 0.020005 Loss_D_real: -0.028231 Loss_D_fake 0.030975
[59/5000][535/535][5795] Loss_D: -0.049534 Loss_G: 0.011319 Loss_D_real: -0.016039 Loss_D_fake 0.033495
[60/5000][5/535][5796] Loss_D: -0.054110 Loss_G: 0.006141 Loss_D_real: -0.015920 Loss_D_fake 0.038190
[60/5000][10/535][5797] Loss_D: -0.054209 Loss_G: 0.049422 Loss_D_real: -0.050679 Loss_D_fake 0.003530
[60/5000][15/535][5798] Loss_D: -0.056520 Loss_G: 0.011427 Loss_D_real: -0.016525 Loss_D_fake 0.039994
[60/5000][20/535][5799] Loss_D: -0.059475 Loss_G: 0.023585 Loss_D_real: -0.029694 Loss_D_fake 0.029782
[60/5000][25/535][5800] Loss_D: -0.062267 Loss_G: 0.020286 Loss_D_real: -0.025544 Loss_D_fake 0.036724
[60/5000][30/535][5801] Loss_D: -0.062628 Loss_G: 0.055008 Loss_D_real: -0.047225 Loss_D_fake 0.015404
[60/5000][35/535][5802] Loss_D: -0.057278 Loss_G: 0.006407 Loss_D_real: -0.021906 Loss_D_fake 0.035371
[60/5000][40/535][5803] Loss_D: -0.057539 Loss_G: 0.043294 Loss_D_real: -0.045820 Loss_D_fake 0.011720
[60/5000][45/535][5804] Loss_D: -0.056454 Loss_G: 0.026722 Loss_D_real: -0.032442 Loss_D_fake 0.024012
[60/5000][50/535][5805] Loss_D: -0.058929 Loss_G: 0.051241 Loss_D_real: -0.048800 Loss_D_fake 0.010129
[60/5000][55/535][5806] Loss_D: -0.057989 Loss_G: 0.005272 Loss_D_real: -0.018952 Loss_D_fake 0.039037
[60/5000][60/535][5807] Loss_D: -0.058538 Loss_G: 0.036016 Loss_D_real: -0.036503 Loss_D_fake 0.022035
[60/5000][65/535][5808] Loss_D: -0.056858 Loss_G: 0.042876 Loss_D_real: -0.040024 Loss_D_fake 0.016834
[60/5000][70/535][5809] Loss_D: -0.059228 Loss_G: 0.033255 Loss_D_real: -0.036149 Loss_D_fake 0.023079
[60/5000][75/535][5810] Loss_D: -0.056183 Loss_G: 0.001911 Loss_D_real: -0.015539 Loss_D_fake 0.040644
[60/5000][80/535][5811] Loss_D: -0.057202 Loss_G: 0.042545 Loss_D_real: -0.042071 Loss_D_fake 0.015131
[60/5000][85/535][5812] Loss_D: -0.057327 Loss_G: 0.020904 Loss_D_real: -0.027703 Loss_D_fake 0.029624
[60/5000][90/535][5813] Loss_D: -0.059747 Loss_G: 0.034881 Loss_D_real: -0.034066 Loss_D_fake 0.025682
[60/5000][95/535][5814] Loss_D: -0.055428 Loss_G: 0.023674 Loss_D_real: -0.029536 Loss_D_fake 0.025892
[60/5000][100/535][5815] Loss_D: -0.056938 Loss_G: 0.046240 Loss_D_real: -0.043625 Loss_D_fake 0.013313
[60/5000][105/535][5816] Loss_D: -0.055943 Loss_G: 0.000586 Loss_D_real: -0.012214 Loss_D_fake 0.043729
[60/5000][110/535][5817] Loss_D: -0.057454 Loss_G: 0.037599 Loss_D_real: -0.047874 Loss_D_fake 0.009579
[60/5000][115/535][5818] Loss_D: -0.056240 Loss_G: 0.010591 Loss_D_real: -0.023858 Loss_D_fake 0.032382
[60/5000][120/535][5819] Loss_D: -0.057576 Loss_G: 0.046675 Loss_D_real: -0.041205 Loss_D_fake 0.016370
[60/5000][125/535][5820] Loss_D: -0.054866 Loss_G: 0.002711 Loss_D_real: -0.014297 Loss_D_fake 0.040569
[60/5000][130/535][5821] Loss_D: -0.054491 Loss_G: 0.039421 Loss_D_real: -0.042568 Loss_D_fake 0.011922
[60/5000][135/535][5822] Loss_D: -0.055051 Loss_G: 0.010029 Loss_D_real: -0.015086 Loss_D_fake 0.039965
[60/5000][140/535][5823] Loss_D: -0.057058 Loss_G: 0.023423 Loss_D_real: -0.034852 Loss_D_fake 0.022206
[60/5000][145/535][5824] Loss_D: -0.055631 Loss_G: 0.042434 Loss_D_real: -0.038292 Loss_D_fake 0.017340
[60/5000][150/535][5825] Loss_D: -0.056952 Loss_G: 0.008962 Loss_D_real: -0.017603 Loss_D_fake 0.039350
[60/5000][155/535][5826] Loss_D: -0.053091 Loss_G: 0.038094 Loss_D_real: -0.043005 Loss_D_fake 0.010086
[60/5000][160/535][5827] Loss_D: -0.057085 Loss_G: 0.025739 Loss_D_real: -0.026904 Loss_D_fake 0.030181
[60/5000][165/535][5828] Loss_D: -0.056826 Loss_G: 0.028403 Loss_D_real: -0.031809 Loss_D_fake 0.025016
[60/5000][170/535][5829] Loss_D: -0.058219 Loss_G: 0.037148 Loss_D_real: -0.038102 Loss_D_fake 0.020117
[60/5000][175/535][5830] Loss_D: -0.053556 Loss_G: -0.002361 Loss_D_real: -0.009508 Loss_D_fake 0.044048
[60/5000][180/535][5831] Loss_D: -0.054401 Loss_G: 0.042476 Loss_D_real: -0.043319 Loss_D_fake 0.011082
[60/5000][185/535][5832] Loss_D: -0.052294 Loss_G: 0.018960 Loss_D_real: -0.016708 Loss_D_fake 0.035586
[60/5000][190/535][5833] Loss_D: -0.056127 Loss_G: 0.029155 Loss_D_real: -0.033302 Loss_D_fake 0.022825
[60/5000][195/535][5834] Loss_D: -0.057587 Loss_G: 0.038958 Loss_D_real: -0.038505 Loss_D_fake 0.019082
[60/5000][200/535][5835] Loss_D: -0.057829 Loss_G: 0.017853 Loss_D_real: -0.028372 Loss_D_fake 0.029457
[60/5000][205/535][5836] Loss_D: -0.056116 Loss_G: 0.054243 Loss_D_real: -0.055719 Loss_D_fake 0.000398
[60/5000][210/535][5837] Loss_D: -0.059677 Loss_G: 0.012881 Loss_D_real: -0.024632 Loss_D_fake 0.035045
[60/5000][215/535][5838] Loss_D: -0.054943 Loss_G: 0.062907 Loss_D_real: -0.063441 Loss_D_fake -0.008498
[60/5000][220/535][5839] Loss_D: -0.057021 Loss_G: 0.001512 Loss_D_real: -0.012920 Loss_D_fake 0.044101
[60/5000][225/535][5840] Loss_D: -0.058371 Loss_G: 0.047241 Loss_D_real: -0.045959 Loss_D_fake 0.012412
[60/5000][230/535][5841] Loss_D: -0.052810 Loss_G: 0.066252 Loss_D_real: -0.061585 Loss_D_fake -0.008775
[60/5000][235/535][5842] Loss_D: -0.057769 Loss_G: 0.008735 Loss_D_real: -0.019581 Loss_D_fake 0.038188
[60/5000][240/535][5843] Loss_D: -0.057260 Loss_G: 0.050634 Loss_D_real: -0.051857 Loss_D_fake 0.005403
[60/5000][245/535][5844] Loss_D: -0.059124 Loss_G: 0.018021 Loss_D_real: -0.022672 Loss_D_fake 0.036452
[60/5000][250/535][5845] Loss_D: -0.058797 Loss_G: 0.060652 Loss_D_real: -0.053090 Loss_D_fake 0.005707
[60/5000][255/535][5846] Loss_D: -0.056000 Loss_G: 0.011610 Loss_D_real: -0.020711 Loss_D_fake 0.035289
[60/5000][260/535][5847] Loss_D: -0.058660 Loss_G: 0.033389 Loss_D_real: -0.039168 Loss_D_fake 0.019493
[60/5000][265/535][5848] Loss_D: -0.061168 Loss_G: 0.029587 Loss_D_real: -0.034067 Loss_D_fake 0.027102
[60/5000][270/535][5849] Loss_D: -0.060161 Loss_G: 0.058180 Loss_D_real: -0.054515 Loss_D_fake 0.005646
[60/5000][275/535][5850] Loss_D: -0.056326 Loss_G: 0.023624 Loss_D_real: -0.028751 Loss_D_fake 0.027575
[60/5000][280/535][5851] Loss_D: -0.062317 Loss_G: 0.040681 Loss_D_real: -0.042006 Loss_D_fake 0.020311
[60/5000][285/535][5852] Loss_D: -0.059830 Loss_G: 0.055290 Loss_D_real: -0.048204 Loss_D_fake 0.011627
[60/5000][290/535][5853] Loss_D: -0.059182 Loss_G: 0.023860 Loss_D_real: -0.031066 Loss_D_fake 0.028117
[60/5000][295/535][5854] Loss_D: -0.058876 Loss_G: 0.056741 Loss_D_real: -0.051369 Loss_D_fake 0.007506
[60/5000][300/535][5855] Loss_D: -0.058831 Loss_G: 0.000862 Loss_D_real: -0.015808 Loss_D_fake 0.043023
[60/5000][305/535][5856] Loss_D: -0.057014 Loss_G: 0.051707 Loss_D_real: -0.049111 Loss_D_fake 0.007903
[60/5000][310/535][5857] Loss_D: -0.059707 Loss_G: 0.027080 Loss_D_real: -0.028141 Loss_D_fake 0.031566
[60/5000][315/535][5858] Loss_D: -0.060021 Loss_G: 0.037778 Loss_D_real: -0.032158 Loss_D_fake 0.027863
[60/5000][320/535][5859] Loss_D: -0.058948 Loss_G: 0.049076 Loss_D_real: -0.047038 Loss_D_fake 0.011910
[60/5000][325/535][5860] Loss_D: -0.061379 Loss_G: 0.028026 Loss_D_real: -0.026890 Loss_D_fake 0.034489
[60/5000][330/535][5861] Loss_D: -0.060220 Loss_G: 0.057071 Loss_D_real: -0.052614 Loss_D_fake 0.007607
[60/5000][335/535][5862] Loss_D: -0.054443 Loss_G: 0.014064 Loss_D_real: -0.017473 Loss_D_fake 0.036970
[60/5000][340/535][5863] Loss_D: -0.058149 Loss_G: 0.039048 Loss_D_real: -0.043202 Loss_D_fake 0.014947
[60/5000][345/535][5864] Loss_D: -0.059420 Loss_G: 0.026075 Loss_D_real: -0.024885 Loss_D_fake 0.034534
[60/5000][350/535][5865] Loss_D: -0.059213 Loss_G: 0.030168 Loss_D_real: -0.031656 Loss_D_fake 0.027557
[60/5000][355/535][5866] Loss_D: -0.057867 Loss_G: 0.044434 Loss_D_real: -0.044096 Loss_D_fake 0.013772
[60/5000][360/535][5867] Loss_D: -0.058595 Loss_G: 0.046171 Loss_D_real: -0.050022 Loss_D_fake 0.008573
[60/5000][365/535][5868] Loss_D: -0.059183 Loss_G: 0.009117 Loss_D_real: -0.015787 Loss_D_fake 0.043397
[60/5000][370/535][5869] Loss_D: -0.056012 Loss_G: 0.050575 Loss_D_real: -0.051799 Loss_D_fake 0.004213
[60/5000][375/535][5870] Loss_D: -0.057675 Loss_G: 0.008438 Loss_D_real: -0.016593 Loss_D_fake 0.041083
[60/5000][380/535][5871] Loss_D: -0.052901 Loss_G: 0.050713 Loss_D_real: -0.052188 Loss_D_fake 0.000713
[60/5000][385/535][5872] Loss_D: -0.057972 Loss_G: 0.016371 Loss_D_real: -0.015861 Loss_D_fake 0.042111
[60/5000][390/535][5873] Loss_D: -0.057565 Loss_G: 0.012887 Loss_D_real: -0.019297 Loss_D_fake 0.038268
[60/5000][395/535][5874] Loss_D: -0.058755 Loss_G: 0.053858 Loss_D_real: -0.048528 Loss_D_fake 0.010227
[60/5000][400/535][5875] Loss_D: -0.058488 Loss_G: 0.017915 Loss_D_real: -0.027709 Loss_D_fake 0.030780
[60/5000][405/535][5876] Loss_D: -0.056771 Loss_G: 0.052173 Loss_D_real: -0.049875 Loss_D_fake 0.006896
[60/5000][410/535][5877] Loss_D: -0.057445 Loss_G: 0.024431 Loss_D_real: -0.024060 Loss_D_fake 0.033385
[60/5000][415/535][5878] Loss_D: -0.056195 Loss_G: 0.041000 Loss_D_real: -0.038648 Loss_D_fake 0.017547
[60/5000][420/535][5879] Loss_D: -0.058086 Loss_G: 0.021743 Loss_D_real: -0.026664 Loss_D_fake 0.031423
[60/5000][425/535][5880] Loss_D: -0.059758 Loss_G: 0.029190 Loss_D_real: -0.036853 Loss_D_fake 0.022905
[60/5000][430/535][5881] Loss_D: -0.059957 Loss_G: 0.048080 Loss_D_real: -0.047413 Loss_D_fake 0.012545
[60/5000][435/535][5882] Loss_D: -0.056319 Loss_G: 0.014184 Loss_D_real: -0.019938 Loss_D_fake 0.036381
[60/5000][440/535][5883] Loss_D: -0.056980 Loss_G: 0.050430 Loss_D_real: -0.049547 Loss_D_fake 0.007433
[60/5000][445/535][5884] Loss_D: -0.056662 Loss_G: 0.042497 Loss_D_real: -0.039154 Loss_D_fake 0.017508
[60/5000][450/535][5885] Loss_D: -0.058122 Loss_G: 0.039083 Loss_D_real: -0.036658 Loss_D_fake 0.021464
[60/5000][455/535][5886] Loss_D: -0.059453 Loss_G: 0.019817 Loss_D_real: -0.027256 Loss_D_fake 0.032197
[60/5000][460/535][5887] Loss_D: -0.054402 Loss_G: 0.060469 Loss_D_real: -0.054404 Loss_D_fake -0.000003
[60/5000][465/535][5888] Loss_D: -0.055770 Loss_G: 0.006542 Loss_D_real: -0.015400 Loss_D_fake 0.040370
[60/5000][470/535][5889] Loss_D: -0.054167 Loss_G: 0.042134 Loss_D_real: -0.049452 Loss_D_fake 0.004714
[60/5000][475/535][5890] Loss_D: -0.053807 Loss_G: 0.007029 Loss_D_real: -0.012992 Loss_D_fake 0.040814
[60/5000][480/535][5891] Loss_D: -0.055397 Loss_G: 0.032799 Loss_D_real: -0.039824 Loss_D_fake 0.015573
[60/5000][485/535][5892] Loss_D: -0.055760 Loss_G: 0.043528 Loss_D_real: -0.041184 Loss_D_fake 0.014575
[60/5000][490/535][5893] Loss_D: -0.058162 Loss_G: 0.017138 Loss_D_real: -0.021487 Loss_D_fake 0.036675
[60/5000][495/535][5894] Loss_D: -0.058304 Loss_G: 0.050842 Loss_D_real: -0.052895 Loss_D_fake 0.005409
[60/5000][500/535][5895] Loss_D: -0.056176 Loss_G: 0.029119 Loss_D_real: -0.030942 Loss_D_fake 0.025234
[60/5000][505/535][5896] Loss_D: -0.061162 Loss_G: 0.037050 Loss_D_real: -0.035403 Loss_D_fake 0.025760
[60/5000][510/535][5897] Loss_D: -0.056045 Loss_G: 0.052075 Loss_D_real: -0.047686 Loss_D_fake 0.008359
[60/5000][515/535][5898] Loss_D: -0.058011 Loss_G: 0.020868 Loss_D_real: -0.024567 Loss_D_fake 0.033444
[60/5000][520/535][5899] Loss_D: -0.059525 Loss_G: 0.016062 Loss_D_real: -0.028533 Loss_D_fake 0.030992
[60/5000][525/535][5900] Loss_D: -0.059503 Loss_G: 0.022173 Loss_D_real: -0.030358 Loss_D_fake 0.029145
[60/5000][530/535][5901] Loss_D: -0.059314 Loss_G: 0.053473 Loss_D_real: -0.047069 Loss_D_fake 0.012245
[60/5000][535/535][5902] Loss_D: -0.055616 Loss_G: 0.013123 Loss_D_real: -0.021352 Loss_D_fake 0.034263
[61/5000][5/535][5903] Loss_D: -0.057685 Loss_G: 0.061168 Loss_D_real: -0.049766 Loss_D_fake 0.007919
[61/5000][10/535][5904] Loss_D: -0.054972 Loss_G: 0.000828 Loss_D_real: -0.014602 Loss_D_fake 0.040371
[61/5000][15/535][5905] Loss_D: -0.051920 Loss_G: 0.043931 Loss_D_real: -0.044964 Loss_D_fake 0.006956
[61/5000][20/535][5906] Loss_D: -0.055910 Loss_G: 0.025228 Loss_D_real: -0.027687 Loss_D_fake 0.028223
[61/5000][25/535][5907] Loss_D: -0.058895 Loss_G: 0.042070 Loss_D_real: -0.041694 Loss_D_fake 0.017201
[61/5000][30/535][5908] Loss_D: -0.059907 Loss_G: 0.031862 Loss_D_real: -0.037066 Loss_D_fake 0.022840
[61/5000][35/535][5909] Loss_D: -0.057747 Loss_G: 0.049043 Loss_D_real: -0.050178 Loss_D_fake 0.007569
[61/5000][40/535][5910] Loss_D: -0.056267 Loss_G: -0.003633 Loss_D_real: -0.010374 Loss_D_fake 0.045893
[61/5000][45/535][5911] Loss_D: -0.057082 Loss_G: 0.047512 Loss_D_real: -0.055917 Loss_D_fake 0.001165
[61/5000][50/535][5912] Loss_D: -0.056756 Loss_G: 0.007071 Loss_D_real: -0.013680 Loss_D_fake 0.043076
[61/5000][55/535][5913] Loss_D: -0.057876 Loss_G: 0.041175 Loss_D_real: -0.043918 Loss_D_fake 0.013958
[61/5000][60/535][5914] Loss_D: -0.060460 Loss_G: 0.021178 Loss_D_real: -0.029098 Loss_D_fake 0.031362
[61/5000][65/535][5915] Loss_D: -0.058197 Loss_G: 0.028327 Loss_D_real: -0.031468 Loss_D_fake 0.026729
[61/5000][70/535][5916] Loss_D: -0.056434 Loss_G: 0.045233 Loss_D_real: -0.045034 Loss_D_fake 0.011401
[61/5000][75/535][5917] Loss_D: -0.058313 Loss_G: 0.038819 Loss_D_real: -0.041683 Loss_D_fake 0.016631
[61/5000][80/535][5918] Loss_D: -0.056467 Loss_G: 0.002422 Loss_D_real: -0.008294 Loss_D_fake 0.048173
[61/5000][85/535][5919] Loss_D: -0.056163 Loss_G: 0.040375 Loss_D_real: -0.041303 Loss_D_fake 0.014860
[61/5000][90/535][5920] Loss_D: -0.057241 Loss_G: 0.022381 Loss_D_real: -0.027682 Loss_D_fake 0.029559
[61/5000][95/535][5921] Loss_D: -0.060658 Loss_G: 0.034351 Loss_D_real: -0.037383 Loss_D_fake 0.023275
[61/5000][100/535][5922] Loss_D: -0.054617 Loss_G: 0.060465 Loss_D_real: -0.057203 Loss_D_fake -0.002586
[61/5000][105/535][5923] Loss_D: -0.054188 Loss_G: 0.016020 Loss_D_real: -0.017960 Loss_D_fake 0.036228
[61/5000][110/535][5924] Loss_D: -0.058788 Loss_G: 0.032515 Loss_D_real: -0.043495 Loss_D_fake 0.015294
[61/5000][115/535][5925] Loss_D: -0.056192 Loss_G: 0.019638 Loss_D_real: -0.024922 Loss_D_fake 0.031270
[61/5000][120/535][5926] Loss_D: -0.054745 Loss_G: 0.047636 Loss_D_real: -0.048043 Loss_D_fake 0.006702
[61/5000][125/535][5927] Loss_D: -0.055978 Loss_G: 0.008746 Loss_D_real: -0.015853 Loss_D_fake 0.040125
[61/5000][130/535][5928] Loss_D: -0.057900 Loss_G: 0.054838 Loss_D_real: -0.053161 Loss_D_fake 0.004739
[61/5000][135/535][5929] Loss_D: -0.058873 Loss_G: 0.009663 Loss_D_real: -0.019270 Loss_D_fake 0.039603
[61/5000][140/535][5930] Loss_D: -0.055145 Loss_G: 0.042032 Loss_D_real: -0.041806 Loss_D_fake 0.013338
[61/5000][145/535][5931] Loss_D: -0.058258 Loss_G: 0.010975 Loss_D_real: -0.020847 Loss_D_fake 0.037411
[61/5000][150/535][5932] Loss_D: -0.060861 Loss_G: 0.045675 Loss_D_real: -0.045605 Loss_D_fake 0.015256
[61/5000][155/535][5933] Loss_D: -0.064226 Loss_G: 0.046998 Loss_D_real: -0.044848 Loss_D_fake 0.019378
[61/5000][160/535][5934] Loss_D: -0.061218 Loss_G: 0.021902 Loss_D_real: -0.031168 Loss_D_fake 0.030050
[61/5000][165/535][5935] Loss_D: -0.065099 Loss_G: 0.035710 Loss_D_real: -0.038532 Loss_D_fake 0.026567
[61/5000][170/535][5936] Loss_D: -0.062174 Loss_G: 0.050349 Loss_D_real: -0.049296 Loss_D_fake 0.012878
[61/5000][175/535][5937] Loss_D: -0.058637 Loss_G: 0.007435 Loss_D_real: -0.018260 Loss_D_fake 0.040377
[61/5000][180/535][5938] Loss_D: -0.059073 Loss_G: 0.041674 Loss_D_real: -0.046788 Loss_D_fake 0.012285
[61/5000][185/535][5939] Loss_D: -0.057474 Loss_G: 0.005195 Loss_D_real: -0.013522 Loss_D_fake 0.043952
[61/5000][190/535][5940] Loss_D: -0.058122 Loss_G: 0.042297 Loss_D_real: -0.048263 Loss_D_fake 0.009858
[61/5000][195/535][5941] Loss_D: -0.057887 Loss_G: 0.033381 Loss_D_real: -0.033418 Loss_D_fake 0.024470
[61/5000][200/535][5942] Loss_D: -0.057892 Loss_G: 0.037089 Loss_D_real: -0.034731 Loss_D_fake 0.023161
[61/5000][205/535][5943] Loss_D: -0.056716 Loss_G: 0.016238 Loss_D_real: -0.027078 Loss_D_fake 0.029638
[61/5000][210/535][5944] Loss_D: -0.056709 Loss_G: 0.036199 Loss_D_real: -0.037501 Loss_D_fake 0.019208
[61/5000][215/535][5945] Loss_D: -0.056465 Loss_G: 0.014758 Loss_D_real: -0.027205 Loss_D_fake 0.029259
[61/5000][220/535][5946] Loss_D: -0.055916 Loss_G: 0.036661 Loss_D_real: -0.036871 Loss_D_fake 0.019045
[61/5000][225/535][5947] Loss_D: -0.054489 Loss_G: 0.009389 Loss_D_real: -0.021282 Loss_D_fake 0.033207
[61/5000][230/535][5948] Loss_D: -0.054104 Loss_G: 0.052175 Loss_D_real: -0.049931 Loss_D_fake 0.004174
[61/5000][235/535][5949] Loss_D: -0.054683 Loss_G: 0.015462 Loss_D_real: -0.018602 Loss_D_fake 0.036081
[61/5000][240/535][5950] Loss_D: -0.051653 Loss_G: 0.029241 Loss_D_real: -0.033762 Loss_D_fake 0.017891
[61/5000][245/535][5951] Loss_D: -0.052660 Loss_G: 0.011403 Loss_D_real: -0.022652 Loss_D_fake 0.030008
[61/5000][250/535][5952] Loss_D: -0.056074 Loss_G: 0.034486 Loss_D_real: -0.046205 Loss_D_fake 0.009869
[61/5000][255/535][5953] Loss_D: -0.055310 Loss_G: 0.007888 Loss_D_real: -0.018478 Loss_D_fake 0.036832
[61/5000][260/535][5954] Loss_D: -0.055306 Loss_G: 0.048374 Loss_D_real: -0.046925 Loss_D_fake 0.008382
[61/5000][265/535][5955] Loss_D: -0.053218 Loss_G: -0.002170 Loss_D_real: -0.009233 Loss_D_fake 0.043985
[61/5000][270/535][5956] Loss_D: -0.054049 Loss_G: 0.044279 Loss_D_real: -0.045399 Loss_D_fake 0.008650
[61/5000][275/535][5957] Loss_D: -0.052346 Loss_G: 0.055453 Loss_D_real: -0.046217 Loss_D_fake 0.006129
[61/5000][280/535][5958] Loss_D: -0.057206 Loss_G: 0.019828 Loss_D_real: -0.027551 Loss_D_fake 0.029654
[61/5000][285/535][5959] Loss_D: -0.054503 Loss_G: 0.062916 Loss_D_real: -0.063762 Loss_D_fake -0.009259
[61/5000][290/535][5960] Loss_D: -0.057683 Loss_G: 0.002613 Loss_D_real: -0.019012 Loss_D_fake 0.038671
[61/5000][295/535][5961] Loss_D: -0.059775 Loss_G: 0.045471 Loss_D_real: -0.048504 Loss_D_fake 0.011272
[61/5000][300/535][5962] Loss_D: -0.059390 Loss_G: 0.048821 Loss_D_real: -0.045987 Loss_D_fake 0.013403
[61/5000][305/535][5963] Loss_D: -0.059287 Loss_G: 0.026213 Loss_D_real: -0.030605 Loss_D_fake 0.028681
[61/5000][310/535][5964] Loss_D: -0.056924 Loss_G: 0.058476 Loss_D_real: -0.052640 Loss_D_fake 0.004284
[61/5000][315/535][5965] Loss_D: -0.058911 Loss_G: 0.032244 Loss_D_real: -0.034469 Loss_D_fake 0.024442
[61/5000][320/535][5966] Loss_D: -0.059017 Loss_G: 0.048936 Loss_D_real: -0.050233 Loss_D_fake 0.008784
[61/5000][325/535][5967] Loss_D: -0.058883 Loss_G: 0.028803 Loss_D_real: -0.030881 Loss_D_fake 0.028001
[61/5000][330/535][5968] Loss_D: -0.057265 Loss_G: 0.054649 Loss_D_real: -0.049133 Loss_D_fake 0.008132
[61/5000][335/535][5969] Loss_D: -0.055696 Loss_G: 0.004440 Loss_D_real: -0.014412 Loss_D_fake 0.041284
[61/5000][340/535][5970] Loss_D: -0.056589 Loss_G: 0.044648 Loss_D_real: -0.046438 Loss_D_fake 0.010150
[61/5000][345/535][5971] Loss_D: -0.059357 Loss_G: 0.040738 Loss_D_real: -0.037599 Loss_D_fake 0.021758
[61/5000][350/535][5972] Loss_D: -0.060028 Loss_G: 0.036280 Loss_D_real: -0.038894 Loss_D_fake 0.021134
[61/5000][355/535][5973] Loss_D: -0.055956 Loss_G: 0.063112 Loss_D_real: -0.054628 Loss_D_fake 0.001328
[61/5000][360/535][5974] Loss_D: -0.058434 Loss_G: 0.013026 Loss_D_real: -0.019877 Loss_D_fake 0.038557
[61/5000][365/535][5975] Loss_D: -0.055690 Loss_G: 0.046316 Loss_D_real: -0.038531 Loss_D_fake 0.017159
[61/5000][370/535][5976] Loss_D: -0.059649 Loss_G: 0.020530 Loss_D_real: -0.026769 Loss_D_fake 0.032880
[61/5000][375/535][5977] Loss_D: -0.059181 Loss_G: 0.027892 Loss_D_real: -0.032258 Loss_D_fake 0.026923
[61/5000][380/535][5978] Loss_D: -0.057777 Loss_G: 0.059449 Loss_D_real: -0.055998 Loss_D_fake 0.001779
[61/5000][385/535][5979] Loss_D: -0.056603 Loss_G: 0.024736 Loss_D_real: -0.023901 Loss_D_fake 0.032701
[61/5000][390/535][5980] Loss_D: -0.056386 Loss_G: 0.054699 Loss_D_real: -0.046995 Loss_D_fake 0.009391
[61/5000][395/535][5981] Loss_D: -0.055830 Loss_G: 0.009108 Loss_D_real: -0.021856 Loss_D_fake 0.033974
[61/5000][400/535][5982] Loss_D: -0.055859 Loss_G: 0.042838 Loss_D_real: -0.040479 Loss_D_fake 0.015380
[61/5000][405/535][5983] Loss_D: -0.058993 Loss_G: 0.015634 Loss_D_real: -0.022646 Loss_D_fake 0.036347
[61/5000][410/535][5984] Loss_D: -0.059050 Loss_G: 0.048821 Loss_D_real: -0.048318 Loss_D_fake 0.010731
[61/5000][415/535][5985] Loss_D: -0.058761 Loss_G: 0.033370 Loss_D_real: -0.034789 Loss_D_fake 0.023972
[61/5000][420/535][5986] Loss_D: -0.060007 Loss_G: 0.028279 Loss_D_real: -0.027265 Loss_D_fake 0.032743
[61/5000][425/535][5987] Loss_D: -0.059307 Loss_G: 0.024847 Loss_D_real: -0.028841 Loss_D_fake 0.030466
[61/5000][430/535][5988] Loss_D: -0.060001 Loss_G: 0.029803 Loss_D_real: -0.034721 Loss_D_fake 0.025280
[61/5000][435/535][5989] Loss_D: -0.059877 Loss_G: 0.047467 Loss_D_real: -0.042160 Loss_D_fake 0.017717
[61/5000][440/535][5990] Loss_D: -0.057190 Loss_G: 0.012449 Loss_D_real: -0.021142 Loss_D_fake 0.036047
[61/5000][445/535][5991] Loss_D: -0.056774 Loss_G: 0.052393 Loss_D_real: -0.048453 Loss_D_fake 0.008320
[61/5000][450/535][5992] Loss_D: -0.058102 Loss_G: 0.017311 Loss_D_real: -0.027516 Loss_D_fake 0.030586
[61/5000][455/535][5993] Loss_D: -0.053827 Loss_G: 0.050718 Loss_D_real: -0.050556 Loss_D_fake 0.003271
[61/5000][460/535][5994] Loss_D: -0.056043 Loss_G: 0.039535 Loss_D_real: -0.039478 Loss_D_fake 0.016565
[61/5000][465/535][5995] Loss_D: -0.058139 Loss_G: 0.009836 Loss_D_real: -0.021334 Loss_D_fake 0.036806
[61/5000][470/535][5996] Loss_D: -0.053857 Loss_G: 0.056132 Loss_D_real: -0.052357 Loss_D_fake 0.001501
[61/5000][475/535][5997] Loss_D: -0.056312 Loss_G: 0.010271 Loss_D_real: -0.020260 Loss_D_fake 0.036053
[61/5000][480/535][5998] Loss_D: -0.055749 Loss_G: 0.048641 Loss_D_real: -0.048997 Loss_D_fake 0.006751
[61/5000][485/535][5999] Loss_D: -0.057804 Loss_G: 0.016979 Loss_D_real: -0.023917 Loss_D_fake 0.033887
[61/5000][490/535][6000] Loss_D: -0.058907 Loss_G: 0.021666 Loss_D_real: -0.031652 Loss_D_fake 0.027255
[61/5000][535/535][6001] Loss_D: -0.064737 Loss_G: 0.037797 Loss_D_real: -0.030714 Loss_D_fake 0.034023
[62/5000][5/535][6002] Loss_D: -0.059590 Loss_G: 0.036618 Loss_D_real: -0.039782 Loss_D_fake 0.019808
[62/5000][10/535][6003] Loss_D: -0.056559 Loss_G: 0.040998 Loss_D_real: -0.042136 Loss_D_fake 0.014423
[62/5000][15/535][6004] Loss_D: -0.059087 Loss_G: 0.024750 Loss_D_real: -0.025558 Loss_D_fake 0.033529
[62/5000][20/535][6005] Loss_D: -0.057347 Loss_G: 0.054140 Loss_D_real: -0.048818 Loss_D_fake 0.008529
[62/5000][25/535][6006] Loss_D: -0.059171 Loss_G: 0.020363 Loss_D_real: -0.030934 Loss_D_fake 0.028237
[62/5000][30/535][6007] Loss_D: -0.057722 Loss_G: 0.035689 Loss_D_real: -0.036560 Loss_D_fake 0.021162
[62/5000][35/535][6008] Loss_D: -0.058036 Loss_G: 0.039245 Loss_D_real: -0.039731 Loss_D_fake 0.018304
[62/5000][40/535][6009] Loss_D: -0.058105 Loss_G: 0.024269 Loss_D_real: -0.035004 Loss_D_fake 0.023101
[62/5000][45/535][6010] Loss_D: -0.057465 Loss_G: 0.058504 Loss_D_real: -0.057913 Loss_D_fake -0.000447
[62/5000][50/535][6011] Loss_D: -0.056010 Loss_G: 0.005244 Loss_D_real: -0.018670 Loss_D_fake 0.037341
[62/5000][55/535][6012] Loss_D: -0.055461 Loss_G: 0.046451 Loss_D_real: -0.047944 Loss_D_fake 0.007517
[62/5000][60/535][6013] Loss_D: -0.055767 Loss_G: 0.016133 Loss_D_real: -0.022309 Loss_D_fake 0.033458
[62/5000][65/535][6014] Loss_D: -0.056313 Loss_G: 0.036615 Loss_D_real: -0.039992 Loss_D_fake 0.016321
[62/5000][70/535][6015] Loss_D: -0.058417 Loss_G: 0.011702 Loss_D_real: -0.026941 Loss_D_fake 0.031476
[62/5000][75/535][6016] Loss_D: -0.056690 Loss_G: 0.050287 Loss_D_real: -0.049133 Loss_D_fake 0.007557
[62/5000][80/535][6017] Loss_D: -0.055389 Loss_G: 0.002998 Loss_D_real: -0.009808 Loss_D_fake 0.045581
[62/5000][85/535][6018] Loss_D: -0.053369 Loss_G: 0.047783 Loss_D_real: -0.046944 Loss_D_fake 0.006424
[62/5000][90/535][6019] Loss_D: -0.054600 Loss_G: 0.017025 Loss_D_real: -0.022068 Loss_D_fake 0.032532
[62/5000][95/535][6020] Loss_D: -0.056532 Loss_G: 0.034469 Loss_D_real: -0.036463 Loss_D_fake 0.020069
[62/5000][100/535][6021] Loss_D: -0.056919 Loss_G: 0.015731 Loss_D_real: -0.027934 Loss_D_fake 0.028985
[62/5000][105/535][6022] Loss_D: -0.059570 Loss_G: 0.045473 Loss_D_real: -0.042519 Loss_D_fake 0.017052
[62/5000][110/535][6023] Loss_D: -0.057897 Loss_G: 0.034570 Loss_D_real: -0.036106 Loss_D_fake 0.021791
[62/5000][115/535][6024] Loss_D: -0.062043 Loss_G: 0.037447 Loss_D_real: -0.042084 Loss_D_fake 0.019959
[62/5000][120/535][6025] Loss_D: -0.058587 Loss_G: 0.013615 Loss_D_real: -0.024298 Loss_D_fake 0.034289
[62/5000][125/535][6026] Loss_D: -0.058752 Loss_G: 0.051221 Loss_D_real: -0.055687 Loss_D_fake 0.003064
[62/5000][130/535][6027] Loss_D: -0.058676 Loss_G: 0.018815 Loss_D_real: -0.020778 Loss_D_fake 0.037897
[62/5000][135/535][6028] Loss_D: -0.058392 Loss_G: 0.035971 Loss_D_real: -0.042166 Loss_D_fake 0.016226
[62/5000][140/535][6029] Loss_D: -0.056887 Loss_G: 0.022430 Loss_D_real: -0.028885 Loss_D_fake 0.028002
[62/5000][145/535][6030] Loss_D: -0.056589 Loss_G: 0.042243 Loss_D_real: -0.045590 Loss_D_fake 0.010999
[62/5000][150/535][6031] Loss_D: -0.058156 Loss_G: 0.019241 Loss_D_real: -0.028514 Loss_D_fake 0.029642
[62/5000][155/535][6032] Loss_D: -0.058764 Loss_G: 0.050660 Loss_D_real: -0.047972 Loss_D_fake 0.010792
[62/5000][160/535][6033] Loss_D: -0.058214 Loss_G: 0.021281 Loss_D_real: -0.026176 Loss_D_fake 0.032038
[62/5000][165/535][6034] Loss_D: -0.058684 Loss_G: 0.045264 Loss_D_real: -0.042159 Loss_D_fake 0.016526
[62/5000][170/535][6035] Loss_D: -0.059357 Loss_G: 0.026424 Loss_D_real: -0.031190 Loss_D_fake 0.028167
[62/5000][175/535][6036] Loss_D: -0.057246 Loss_G: 0.057247 Loss_D_real: -0.056369 Loss_D_fake 0.000877
[62/5000][180/535][6037] Loss_D: -0.058175 Loss_G: 0.007417 Loss_D_real: -0.021006 Loss_D_fake 0.037169
[62/5000][185/535][6038] Loss_D: -0.056214 Loss_G: 0.039403 Loss_D_real: -0.045684 Loss_D_fake 0.010530
[62/5000][190/535][6039] Loss_D: -0.057511 Loss_G: 0.061689 Loss_D_real: -0.053832 Loss_D_fake 0.003679
[62/5000][195/535][6040] Loss_D: -0.055143 Loss_G: 0.008027 Loss_D_real: -0.017217 Loss_D_fake 0.037925
[62/5000][200/535][6041] Loss_D: -0.055746 Loss_G: 0.041980 Loss_D_real: -0.040315 Loss_D_fake 0.015431
[62/5000][205/535][6042] Loss_D: -0.059007 Loss_G: 0.048380 Loss_D_real: -0.048148 Loss_D_fake 0.010859
[62/5000][210/535][6043] Loss_D: -0.057219 Loss_G: 0.048942 Loss_D_real: -0.043739 Loss_D_fake 0.013480
[62/5000][215/535][6044] Loss_D: -0.058164 Loss_G: 0.014171 Loss_D_real: -0.024260 Loss_D_fake 0.033904
[62/5000][220/535][6045] Loss_D: -0.056271 Loss_G: 0.052323 Loss_D_real: -0.055570 Loss_D_fake 0.000701
[62/5000][225/535][6046] Loss_D: -0.056036 Loss_G: 0.010219 Loss_D_real: -0.021325 Loss_D_fake 0.034711
[62/5000][230/535][6047] Loss_D: -0.056153 Loss_G: 0.049500 Loss_D_real: -0.052459 Loss_D_fake 0.003694
[62/5000][235/535][6048] Loss_D: -0.056557 Loss_G: 0.006361 Loss_D_real: -0.017060 Loss_D_fake 0.039497
[62/5000][240/535][6049] Loss_D: -0.058825 Loss_G: 0.039256 Loss_D_real: -0.044130 Loss_D_fake 0.014695
[62/5000][245/535][6050] Loss_D: -0.057115 Loss_G: 0.049600 Loss_D_real: -0.048597 Loss_D_fake 0.008517
[62/5000][250/535][6051] Loss_D: -0.059437 Loss_G: 0.002878 Loss_D_real: -0.016319 Loss_D_fake 0.043119
[62/5000][255/535][6052] Loss_D: -0.054807 Loss_G: 0.051291 Loss_D_real: -0.053887 Loss_D_fake 0.000921
[62/5000][260/535][6053] Loss_D: -0.058851 Loss_G: 0.015937 Loss_D_real: -0.025519 Loss_D_fake 0.033332
[62/5000][265/535][6054] Loss_D: -0.054667 Loss_G: 0.042629 Loss_D_real: -0.040493 Loss_D_fake 0.014174
[62/5000][270/535][6055] Loss_D: -0.057599 Loss_G: 0.004083 Loss_D_real: -0.015319 Loss_D_fake 0.042280
[62/5000][275/535][6056] Loss_D: -0.056143 Loss_G: 0.040334 Loss_D_real: -0.042062 Loss_D_fake 0.014081
[62/5000][280/535][6057] Loss_D: -0.056805 Loss_G: 0.010774 Loss_D_real: -0.022971 Loss_D_fake 0.033834
[62/5000][285/535][6058] Loss_D: -0.055842 Loss_G: 0.043096 Loss_D_real: -0.044380 Loss_D_fake 0.011462
[62/5000][290/535][6059] Loss_D: -0.055714 Loss_G: 0.009899 Loss_D_real: -0.018239 Loss_D_fake 0.037474
[62/5000][295/535][6060] Loss_D: -0.057871 Loss_G: 0.035286 Loss_D_real: -0.040828 Loss_D_fake 0.017042
[62/5000][300/535][6061] Loss_D: -0.055509 Loss_G: 0.054338 Loss_D_real: -0.052728 Loss_D_fake 0.002780
[62/5000][305/535][6062] Loss_D: -0.054890 Loss_G: 0.001762 Loss_D_real: -0.010902 Loss_D_fake 0.043988
[62/5000][310/535][6063] Loss_D: -0.055667 Loss_G: 0.041320 Loss_D_real: -0.043663 Loss_D_fake 0.012004
[62/5000][315/535][6064] Loss_D: -0.056797 Loss_G: 0.018411 Loss_D_real: -0.024834 Loss_D_fake 0.031963
[62/5000][320/535][6065] Loss_D: -0.056005 Loss_G: 0.052200 Loss_D_real: -0.044566 Loss_D_fake 0.011439
[62/5000][325/535][6066] Loss_D: -0.057782 Loss_G: 0.018993 Loss_D_real: -0.021120 Loss_D_fake 0.036662
[62/5000][330/535][6067] Loss_D: -0.058472 Loss_G: 0.035521 Loss_D_real: -0.036174 Loss_D_fake 0.022299
[62/5000][335/535][6068] Loss_D: -0.058747 Loss_G: 0.033963 Loss_D_real: -0.031118 Loss_D_fake 0.027629
[62/5000][340/535][6069] Loss_D: -0.059546 Loss_G: 0.028577 Loss_D_real: -0.031756 Loss_D_fake 0.027790
[62/5000][345/535][6070] Loss_D: -0.056516 Loss_G: 0.044883 Loss_D_real: -0.042366 Loss_D_fake 0.014150
[62/5000][350/535][6071] Loss_D: -0.058580 Loss_G: 0.030326 Loss_D_real: -0.032317 Loss_D_fake 0.026263
[62/5000][355/535][6072] Loss_D: -0.055719 Loss_G: 0.045729 Loss_D_real: -0.047537 Loss_D_fake 0.008183
[62/5000][360/535][6073] Loss_D: -0.057401 Loss_G: -0.002164 Loss_D_real: -0.012080 Loss_D_fake 0.045321
[62/5000][365/535][6074] Loss_D: -0.054638 Loss_G: 0.046314 Loss_D_real: -0.050139 Loss_D_fake 0.004499
[62/5000][370/535][6075] Loss_D: -0.056555 Loss_G: 0.028244 Loss_D_real: -0.031172 Loss_D_fake 0.025382
[62/5000][375/535][6076] Loss_D: -0.056117 Loss_G: 0.021681 Loss_D_real: -0.025127 Loss_D_fake 0.030990
[62/5000][380/535][6077] Loss_D: -0.054766 Loss_G: 0.056102 Loss_D_real: -0.051466 Loss_D_fake 0.003300
[62/5000][385/535][6078] Loss_D: -0.056101 Loss_G: 0.005937 Loss_D_real: -0.012603 Loss_D_fake 0.043498
[62/5000][390/535][6079] Loss_D: -0.055805 Loss_G: 0.049456 Loss_D_real: -0.052159 Loss_D_fake 0.003646
[62/5000][395/535][6080] Loss_D: -0.058399 Loss_G: 0.014518 Loss_D_real: -0.018026 Loss_D_fake 0.040373
[62/5000][400/535][6081] Loss_D: -0.052569 Loss_G: 0.047276 Loss_D_real: -0.051599 Loss_D_fake 0.000970
[62/5000][405/535][6082] Loss_D: -0.058620 Loss_G: 0.024239 Loss_D_real: -0.028766 Loss_D_fake 0.029855
[62/5000][410/535][6083] Loss_D: -0.059564 Loss_G: 0.042250 Loss_D_real: -0.043161 Loss_D_fake 0.016403
[62/5000][415/535][6084] Loss_D: -0.058842 Loss_G: 0.016404 Loss_D_real: -0.026428 Loss_D_fake 0.032414
[62/5000][420/535][6085] Loss_D: -0.057455 Loss_G: 0.047941 Loss_D_real: -0.051459 Loss_D_fake 0.005996
[62/5000][425/535][6086] Loss_D: -0.055983 Loss_G: 0.011144 Loss_D_real: -0.015840 Loss_D_fake 0.040143
[62/5000][430/535][6087] Loss_D: -0.056923 Loss_G: 0.033028 Loss_D_real: -0.036219 Loss_D_fake 0.020705
[62/5000][435/535][6088] Loss_D: -0.058556 Loss_G: 0.032389 Loss_D_real: -0.030096 Loss_D_fake 0.028460
[62/5000][440/535][6089] Loss_D: -0.060097 Loss_G: 0.034017 Loss_D_real: -0.037553 Loss_D_fake 0.022544
[62/5000][445/535][6090] Loss_D: -0.056292 Loss_G: 0.010219 Loss_D_real: -0.018645 Loss_D_fake 0.037647
[62/5000][450/535][6091] Loss_D: -0.060559 Loss_G: 0.048685 Loss_D_real: -0.049729 Loss_D_fake 0.010830
[62/5000][455/535][6092] Loss_D: -0.055749 Loss_G: 0.004253 Loss_D_real: -0.015413 Loss_D_fake 0.040336
[62/5000][460/535][6093] Loss_D: -0.058055 Loss_G: 0.049517 Loss_D_real: -0.052251 Loss_D_fake 0.005804
[62/5000][465/535][6094] Loss_D: -0.058031 Loss_G: 0.002151 Loss_D_real: -0.018770 Loss_D_fake 0.039261
[62/5000][470/535][6095] Loss_D: -0.058617 Loss_G: 0.032000 Loss_D_real: -0.041496 Loss_D_fake 0.017121
[62/5000][475/535][6096] Loss_D: -0.055317 Loss_G: 0.042073 Loss_D_real: -0.041099 Loss_D_fake 0.014218
[62/5000][480/535][6097] Loss_D: -0.058610 Loss_G: 0.024339 Loss_D_real: -0.033459 Loss_D_fake 0.025151
[62/5000][485/535][6098] Loss_D: -0.058117 Loss_G: 0.030702 Loss_D_real: -0.037100 Loss_D_fake 0.021017
[62/5000][490/535][6099] Loss_D: -0.059222 Loss_G: 0.024599 Loss_D_real: -0.027544 Loss_D_fake 0.031678
[62/5000][495/535][6100] Loss_D: -0.058190 Loss_G: 0.021369 Loss_D_real: -0.026252 Loss_D_fake 0.031938
[62/5000][500/535][6101] Loss_D: -0.056575 Loss_G: 0.049483 Loss_D_real: -0.053325 Loss_D_fake 0.003251
[62/5000][505/535][6102] Loss_D: -0.055017 Loss_G: 0.008834 Loss_D_real: -0.018750 Loss_D_fake 0.036267
[62/5000][510/535][6103] Loss_D: -0.056354 Loss_G: 0.030311 Loss_D_real: -0.033437 Loss_D_fake 0.022917
[62/5000][515/535][6104] Loss_D: -0.055445 Loss_G: 0.008819 Loss_D_real: -0.019956 Loss_D_fake 0.035490
[62/5000][520/535][6105] Loss_D: -0.056405 Loss_G: 0.040504 Loss_D_real: -0.041858 Loss_D_fake 0.014548
[62/5000][525/535][6106] Loss_D: -0.054470 Loss_G: 0.001274 Loss_D_real: -0.016165 Loss_D_fake 0.038305
[62/5000][530/535][6107] Loss_D: -0.054919 Loss_G: 0.047159 Loss_D_real: -0.049759 Loss_D_fake 0.005160
[62/5000][535/535][6108] Loss_D: -0.053010 Loss_G: 0.028820 Loss_D_real: -0.031896 Loss_D_fake 0.021114
[63/5000][5/535][6109] Loss_D: -0.055148 Loss_G: 0.021092 Loss_D_real: -0.022746 Loss_D_fake 0.032402
[63/5000][10/535][6110] Loss_D: -0.055353 Loss_G: 0.015172 Loss_D_real: -0.022607 Loss_D_fake 0.032746
[63/5000][15/535][6111] Loss_D: -0.056018 Loss_G: 0.035587 Loss_D_real: -0.039134 Loss_D_fake 0.016884
[63/5000][20/535][6112] Loss_D: -0.056855 Loss_G: 0.026546 Loss_D_real: -0.030155 Loss_D_fake 0.026700
[63/5000][25/535][6113] Loss_D: -0.052949 Loss_G: 0.036532 Loss_D_real: -0.034844 Loss_D_fake 0.018105
[63/5000][30/535][6114] Loss_D: -0.054841 Loss_G: 0.018504 Loss_D_real: -0.024030 Loss_D_fake 0.030811
[63/5000][35/535][6115] Loss_D: -0.054407 Loss_G: 0.047765 Loss_D_real: -0.045968 Loss_D_fake 0.008438
[63/5000][40/535][6116] Loss_D: -0.056174 Loss_G: 0.022848 Loss_D_real: -0.025917 Loss_D_fake 0.030258
[63/5000][45/535][6117] Loss_D: -0.055371 Loss_G: 0.032493 Loss_D_real: -0.032949 Loss_D_fake 0.022422
[63/5000][50/535][6118] Loss_D: -0.052962 Loss_G: 0.029424 Loss_D_real: -0.028421 Loss_D_fake 0.024541
[63/5000][55/535][6119] Loss_D: -0.053674 Loss_G: 0.055726 Loss_D_real: -0.044632 Loss_D_fake 0.009042
[63/5000][60/535][6120] Loss_D: -0.058406 Loss_G: 0.056552 Loss_D_real: -0.046858 Loss_D_fake 0.011548
[63/5000][65/535][6121] Loss_D: -0.057768 Loss_G: -0.002343 Loss_D_real: -0.010922 Loss_D_fake 0.046846
[63/5000][70/535][6122] Loss_D: -0.055860 Loss_G: 0.056155 Loss_D_real: -0.057739 Loss_D_fake -0.001879
[63/5000][75/535][6123] Loss_D: -0.057599 Loss_G: -0.003599 Loss_D_real: -0.007301 Loss_D_fake 0.050298
[63/5000][80/535][6124] Loss_D: -0.056403 Loss_G: 0.025783 Loss_D_real: -0.031810 Loss_D_fake 0.024593
[63/5000][85/535][6125] Loss_D: -0.057809 Loss_G: 0.054734 Loss_D_real: -0.049321 Loss_D_fake 0.008488
[63/5000][90/535][6126] Loss_D: -0.059129 Loss_G: 0.004678 Loss_D_real: -0.019043 Loss_D_fake 0.040086
[63/5000][95/535][6127] Loss_D: -0.055723 Loss_G: 0.057963 Loss_D_real: -0.052868 Loss_D_fake 0.002856
[63/5000][100/535][6128] Loss_D: -0.058072 Loss_G: 0.031492 Loss_D_real: -0.034561 Loss_D_fake 0.023511
[63/5000][105/535][6129] Loss_D: -0.055615 Loss_G: 0.057818 Loss_D_real: -0.061699 Loss_D_fake -0.006084
[63/5000][110/535][6130] Loss_D: -0.056425 Loss_G: 0.026312 Loss_D_real: -0.027396 Loss_D_fake 0.029028
[63/5000][115/535][6131] Loss_D: -0.059581 Loss_G: 0.034957 Loss_D_real: -0.033763 Loss_D_fake 0.025818
[63/5000][120/535][6132] Loss_D: -0.055894 Loss_G: 0.059867 Loss_D_real: -0.056721 Loss_D_fake -0.000828
[63/5000][125/535][6133] Loss_D: -0.055656 Loss_G: 0.021523 Loss_D_real: -0.025755 Loss_D_fake 0.029901
[63/5000][130/535][6134] Loss_D: -0.058559 Loss_G: 0.048593 Loss_D_real: -0.047968 Loss_D_fake 0.010591
[63/5000][135/535][6135] Loss_D: -0.057602 Loss_G: 0.020504 Loss_D_real: -0.022603 Loss_D_fake 0.034999
[63/5000][140/535][6136] Loss_D: -0.059975 Loss_G: 0.045044 Loss_D_real: -0.047778 Loss_D_fake 0.012197
[63/5000][145/535][6137] Loss_D: -0.058800 Loss_G: 0.007962 Loss_D_real: -0.018443 Loss_D_fake 0.040357
[63/5000][150/535][6138] Loss_D: -0.057552 Loss_G: 0.043232 Loss_D_real: -0.042342 Loss_D_fake 0.015209
[63/5000][155/535][6139] Loss_D: -0.058377 Loss_G: 0.041956 Loss_D_real: -0.040857 Loss_D_fake 0.017520
[63/5000][160/535][6140] Loss_D: -0.060753 Loss_G: 0.030912 Loss_D_real: -0.034025 Loss_D_fake 0.026728
[63/5000][165/535][6141] Loss_D: -0.058674 Loss_G: 0.042167 Loss_D_real: -0.036973 Loss_D_fake 0.021701
[63/5000][170/535][6142] Loss_D: -0.057129 Loss_G: 0.007781 Loss_D_real: -0.020717 Loss_D_fake 0.036411
[63/5000][175/535][6143] Loss_D: -0.056231 Loss_G: 0.049535 Loss_D_real: -0.048458 Loss_D_fake 0.007773
[63/5000][180/535][6144] Loss_D: -0.057461 Loss_G: 0.035722 Loss_D_real: -0.036093 Loss_D_fake 0.021368
[63/5000][185/535][6145] Loss_D: -0.057686 Loss_G: 0.003238 Loss_D_real: -0.018842 Loss_D_fake 0.038844
[63/5000][190/535][6146] Loss_D: -0.051120 Loss_G: 0.057819 Loss_D_real: -0.051222 Loss_D_fake -0.000102
[63/5000][195/535][6147] Loss_D: -0.056138 Loss_G: 0.009715 Loss_D_real: -0.020144 Loss_D_fake 0.035994
[63/5000][200/535][6148] Loss_D: -0.058013 Loss_G: 0.037942 Loss_D_real: -0.048210 Loss_D_fake 0.009803
[63/5000][205/535][6149] Loss_D: -0.059400 Loss_G: 0.037908 Loss_D_real: -0.034210 Loss_D_fake 0.025190
[63/5000][210/535][6150] Loss_D: -0.058277 Loss_G: 0.048250 Loss_D_real: -0.043560 Loss_D_fake 0.014717
[63/5000][215/535][6151] Loss_D: -0.055632 Loss_G: -0.002536 Loss_D_real: -0.010089 Loss_D_fake 0.045542
[63/5000][220/535][6152] Loss_D: -0.053343 Loss_G: 0.044661 Loss_D_real: -0.042304 Loss_D_fake 0.011039
[63/5000][225/535][6153] Loss_D: -0.052442 Loss_G: 0.014797 Loss_D_real: -0.015094 Loss_D_fake 0.037347
[63/5000][230/535][6154] Loss_D: -0.055870 Loss_G: 0.043527 Loss_D_real: -0.044669 Loss_D_fake 0.011201
[63/5000][235/535][6155] Loss_D: -0.056934 Loss_G: 0.007205 Loss_D_real: -0.022145 Loss_D_fake 0.034789
[63/5000][240/535][6156] Loss_D: -0.057425 Loss_G: 0.049272 Loss_D_real: -0.048826 Loss_D_fake 0.008600
[63/5000][245/535][6157] Loss_D: -0.057378 Loss_G: 0.038581 Loss_D_real: -0.034560 Loss_D_fake 0.022819
[63/5000][250/535][6158] Loss_D: -0.059848 Loss_G: 0.029139 Loss_D_real: -0.033795 Loss_D_fake 0.026053
[63/5000][255/535][6159] Loss_D: -0.058717 Loss_G: 0.032384 Loss_D_real: -0.037357 Loss_D_fake 0.021361
[63/5000][260/535][6160] Loss_D: -0.059091 Loss_G: 0.050873 Loss_D_real: -0.047146 Loss_D_fake 0.011945
[63/5000][265/535][6161] Loss_D: -0.057420 Loss_G: 0.040136 Loss_D_real: -0.040602 Loss_D_fake 0.016817
[63/5000][270/535][6162] Loss_D: -0.055695 Loss_G: 0.032099 Loss_D_real: -0.034481 Loss_D_fake 0.021214
[63/5000][275/535][6163] Loss_D: -0.060397 Loss_G: 0.035863 Loss_D_real: -0.037696 Loss_D_fake 0.022701
[63/5000][280/535][6164] Loss_D: -0.058270 Loss_G: 0.043014 Loss_D_real: -0.039619 Loss_D_fake 0.018651
[63/5000][285/535][6165] Loss_D: -0.057093 Loss_G: 0.058650 Loss_D_real: -0.047876 Loss_D_fake 0.009217
[63/5000][290/535][6166] Loss_D: -0.053883 Loss_G: -0.004669 Loss_D_real: -0.010587 Loss_D_fake 0.043296
[63/5000][295/535][6167] Loss_D: -0.056028 Loss_G: 0.051254 Loss_D_real: -0.050849 Loss_D_fake 0.005179
[63/5000][300/535][6168] Loss_D: -0.055792 Loss_G: -0.008168 Loss_D_real: -0.005930 Loss_D_fake 0.049862
[63/5000][305/535][6169] Loss_D: -0.053564 Loss_G: 0.039438 Loss_D_real: -0.042521 Loss_D_fake 0.011043
[63/5000][310/535][6170] Loss_D: -0.056640 Loss_G: 0.018387 Loss_D_real: -0.026175 Loss_D_fake 0.030465
[63/5000][315/535][6171] Loss_D: -0.057161 Loss_G: 0.044577 Loss_D_real: -0.041633 Loss_D_fake 0.015528
[63/5000][320/535][6172] Loss_D: -0.055542 Loss_G: 0.008261 Loss_D_real: -0.020615 Loss_D_fake 0.034928
[63/5000][325/535][6173] Loss_D: -0.053404 Loss_G: 0.047472 Loss_D_real: -0.044158 Loss_D_fake 0.009246
[63/5000][330/535][6174] Loss_D: -0.058679 Loss_G: 0.008636 Loss_D_real: -0.022637 Loss_D_fake 0.036043
[63/5000][335/535][6175] Loss_D: -0.051482 Loss_G: 0.056271 Loss_D_real: -0.055572 Loss_D_fake -0.004090
[63/5000][340/535][6176] Loss_D: -0.057004 Loss_G: 0.016200 Loss_D_real: -0.024701 Loss_D_fake 0.032303
[63/5000][345/535][6177] Loss_D: -0.057210 Loss_G: 0.025512 Loss_D_real: -0.027348 Loss_D_fake 0.029863
[63/5000][350/535][6178] Loss_D: -0.058733 Loss_G: 0.033168 Loss_D_real: -0.031835 Loss_D_fake 0.026898
[63/5000][355/535][6179] Loss_D: -0.056335 Loss_G: 0.049483 Loss_D_real: -0.047223 Loss_D_fake 0.009111
[63/5000][360/535][6180] Loss_D: -0.057751 Loss_G: 0.032697 Loss_D_real: -0.031590 Loss_D_fake 0.026161
[63/5000][365/535][6181] Loss_D: -0.057304 Loss_G: 0.048564 Loss_D_real: -0.043106 Loss_D_fake 0.014199
[63/5000][370/535][6182] Loss_D: -0.056473 Loss_G: 0.012877 Loss_D_real: -0.019585 Loss_D_fake 0.036888
[63/5000][375/535][6183] Loss_D: -0.054229 Loss_G: 0.048865 Loss_D_real: -0.046358 Loss_D_fake 0.007871
[63/5000][380/535][6184] Loss_D: -0.053147 Loss_G: -0.006660 Loss_D_real: -0.003844 Loss_D_fake 0.049303
[63/5000][385/535][6185] Loss_D: -0.053893 Loss_G: 0.044055 Loss_D_real: -0.043698 Loss_D_fake 0.010195
[63/5000][390/535][6186] Loss_D: -0.055378 Loss_G: 0.018855 Loss_D_real: -0.022009 Loss_D_fake 0.033368
[63/5000][395/535][6187] Loss_D: -0.054117 Loss_G: 0.026115 Loss_D_real: -0.029233 Loss_D_fake 0.024883
[63/5000][400/535][6188] Loss_D: -0.057284 Loss_G: 0.015059 Loss_D_real: -0.025907 Loss_D_fake 0.031377
[63/5000][405/535][6189] Loss_D: -0.055124 Loss_G: 0.047464 Loss_D_real: -0.046892 Loss_D_fake 0.008232
[63/5000][410/535][6190] Loss_D: -0.058297 Loss_G: 0.010382 Loss_D_real: -0.019640 Loss_D_fake 0.038657
[63/5000][415/535][6191] Loss_D: -0.057724 Loss_G: 0.052400 Loss_D_real: -0.054938 Loss_D_fake 0.002786
[63/5000][420/535][6192] Loss_D: -0.058077 Loss_G: 0.040803 Loss_D_real: -0.041690 Loss_D_fake 0.016386
[63/5000][425/535][6193] Loss_D: -0.059655 Loss_G: 0.031711 Loss_D_real: -0.037565 Loss_D_fake 0.022091
[63/5000][430/535][6194] Loss_D: -0.058108 Loss_G: 0.031504 Loss_D_real: -0.033339 Loss_D_fake 0.024769
[63/5000][435/535][6195] Loss_D: -0.058422 Loss_G: 0.013022 Loss_D_real: -0.021338 Loss_D_fake 0.037084
[63/5000][440/535][6196] Loss_D: -0.055760 Loss_G: 0.047573 Loss_D_real: -0.043067 Loss_D_fake 0.012693
[63/5000][445/535][6197] Loss_D: -0.058844 Loss_G: 0.030939 Loss_D_real: -0.029567 Loss_D_fake 0.029277
[63/5000][450/535][6198] Loss_D: -0.054349 Loss_G: 0.057035 Loss_D_real: -0.055387 Loss_D_fake -0.001038
[63/5000][455/535][6199] Loss_D: -0.053982 Loss_G: 0.005734 Loss_D_real: -0.014329 Loss_D_fake 0.039653
[63/5000][460/535][6200] Loss_D: -0.053027 Loss_G: 0.044022 Loss_D_real: -0.042890 Loss_D_fake 0.010137
[63/5000][465/535][6201] Loss_D: -0.056783 Loss_G: 0.018991 Loss_D_real: -0.021973 Loss_D_fake 0.034810
[63/5000][470/535][6202] Loss_D: -0.056824 Loss_G: 0.039328 Loss_D_real: -0.040787 Loss_D_fake 0.016037
[63/5000][475/535][6203] Loss_D: -0.054019 Loss_G: 0.034848 Loss_D_real: -0.031025 Loss_D_fake 0.022994
[63/5000][480/535][6204] Loss_D: -0.058635 Loss_G: 0.028442 Loss_D_real: -0.033988 Loss_D_fake 0.024647
[63/5000][485/535][6205] Loss_D: -0.057704 Loss_G: 0.052668 Loss_D_real: -0.047100 Loss_D_fake 0.010605
[63/5000][490/535][6206] Loss_D: -0.057438 Loss_G: 0.013247 Loss_D_real: -0.019688 Loss_D_fake 0.037750
[63/5000][495/535][6207] Loss_D: -0.059026 Loss_G: 0.036371 Loss_D_real: -0.038496 Loss_D_fake 0.020530
[63/5000][500/535][6208] Loss_D: -0.057912 Loss_G: 0.056863 Loss_D_real: -0.049935 Loss_D_fake 0.007976
[63/5000][505/535][6209] Loss_D: -0.055472 Loss_G: -0.005699 Loss_D_real: -0.009132 Loss_D_fake 0.046340
[63/5000][510/535][6210] Loss_D: -0.054989 Loss_G: 0.034001 Loss_D_real: -0.042772 Loss_D_fake 0.012217
[63/5000][515/535][6211] Loss_D: -0.057283 Loss_G: 0.027563 Loss_D_real: -0.028613 Loss_D_fake 0.028669
[63/5000][520/535][6212] Loss_D: -0.058684 Loss_G: 0.036149 Loss_D_real: -0.035608 Loss_D_fake 0.023076
[63/5000][525/535][6213] Loss_D: -0.058457 Loss_G: 0.020881 Loss_D_real: -0.024104 Loss_D_fake 0.034353
[63/5000][530/535][6214] Loss_D: -0.056539 Loss_G: 0.048169 Loss_D_real: -0.046505 Loss_D_fake 0.010034
[63/5000][535/535][6215] Loss_D: -0.056552 Loss_G: 0.022328 Loss_D_real: -0.024621 Loss_D_fake 0.031931
[64/5000][5/535][6216] Loss_D: -0.055514 Loss_G: 0.048700 Loss_D_real: -0.046300 Loss_D_fake 0.009214
[64/5000][10/535][6217] Loss_D: -0.054265 Loss_G: 0.001115 Loss_D_real: -0.015219 Loss_D_fake 0.039046
[64/5000][15/535][6218] Loss_D: -0.053767 Loss_G: 0.049020 Loss_D_real: -0.051074 Loss_D_fake 0.002693
[64/5000][20/535][6219] Loss_D: -0.056842 Loss_G: 0.013738 Loss_D_real: -0.017645 Loss_D_fake 0.039197
[64/5000][25/535][6220] Loss_D: -0.059332 Loss_G: 0.033279 Loss_D_real: -0.042688 Loss_D_fake 0.016643
[64/5000][30/535][6221] Loss_D: -0.062268 Loss_G: 0.049370 Loss_D_real: -0.046581 Loss_D_fake 0.015687
[64/5000][35/535][6222] Loss_D: -0.064272 Loss_G: 0.020232 Loss_D_real: -0.029293 Loss_D_fake 0.034980
[64/5000][40/535][6223] Loss_D: -0.060054 Loss_G: 0.058691 Loss_D_real: -0.060950 Loss_D_fake -0.000896
[64/5000][45/535][6224] Loss_D: -0.054800 Loss_G: 0.015601 Loss_D_real: -0.023564 Loss_D_fake 0.031235
[64/5000][50/535][6225] Loss_D: -0.055813 Loss_G: 0.037848 Loss_D_real: -0.037739 Loss_D_fake 0.018074
[64/5000][55/535][6226] Loss_D: -0.058236 Loss_G: 0.029300 Loss_D_real: -0.028278 Loss_D_fake 0.029958
[64/5000][60/535][6227] Loss_D: -0.060020 Loss_G: 0.044581 Loss_D_real: -0.046897 Loss_D_fake 0.013123
[64/5000][65/535][6228] Loss_D: -0.059697 Loss_G: 0.017584 Loss_D_real: -0.023676 Loss_D_fake 0.036021
[64/5000][70/535][6229] Loss_D: -0.056086 Loss_G: 0.047140 Loss_D_real: -0.049166 Loss_D_fake 0.006920
[64/5000][75/535][6230] Loss_D: -0.056281 Loss_G: 0.006277 Loss_D_real: -0.016978 Loss_D_fake 0.039304
[64/5000][80/535][6231] Loss_D: -0.057005 Loss_G: 0.035306 Loss_D_real: -0.036017 Loss_D_fake 0.020988
[64/5000][85/535][6232] Loss_D: -0.057446 Loss_G: 0.009798 Loss_D_real: -0.023905 Loss_D_fake 0.033541
[64/5000][90/535][6233] Loss_D: -0.056138 Loss_G: 0.037714 Loss_D_real: -0.043900 Loss_D_fake 0.012239
[64/5000][95/535][6234] Loss_D: -0.056903 Loss_G: 0.006954 Loss_D_real: -0.018528 Loss_D_fake 0.038375
[64/5000][100/535][6235] Loss_D: -0.053192 Loss_G: 0.044271 Loss_D_real: -0.049417 Loss_D_fake 0.003776
[64/5000][105/535][6236] Loss_D: -0.053100 Loss_G: 0.017409 Loss_D_real: -0.023393 Loss_D_fake 0.029707
[64/5000][110/535][6237] Loss_D: -0.056711 Loss_G: 0.016979 Loss_D_real: -0.029038 Loss_D_fake 0.027673
[64/5000][115/535][6238] Loss_D: -0.055582 Loss_G: 0.035693 Loss_D_real: -0.040521 Loss_D_fake 0.015062
[64/5000][120/535][6239] Loss_D: -0.056982 Loss_G: 0.031638 Loss_D_real: -0.035530 Loss_D_fake 0.021452
[64/5000][125/535][6240] Loss_D: -0.055944 Loss_G: 0.028628 Loss_D_real: -0.032688 Loss_D_fake 0.023256
[64/5000][130/535][6241] Loss_D: -0.055426 Loss_G: 0.046598 Loss_D_real: -0.051650 Loss_D_fake 0.003776
[64/5000][135/535][6242] Loss_D: -0.056938 Loss_G: 0.042753 Loss_D_real: -0.034814 Loss_D_fake 0.022124
[64/5000][140/535][6243] Loss_D: -0.058800 Loss_G: 0.039958 Loss_D_real: -0.037570 Loss_D_fake 0.021230
[64/5000][145/535][6244] Loss_D: -0.056447 Loss_G: 0.063645 Loss_D_real: -0.059023 Loss_D_fake -0.002576
[64/5000][150/535][6245] Loss_D: -0.055268 Loss_G: 0.002549 Loss_D_real: -0.009947 Loss_D_fake 0.045321
[64/5000][155/535][6246] Loss_D: -0.050081 Loss_G: 0.056723 Loss_D_real: -0.056840 Loss_D_fake -0.006759
[64/5000][160/535][6247] Loss_D: -0.056844 Loss_G: 0.006180 Loss_D_real: -0.015363 Loss_D_fake 0.041481
[64/5000][165/535][6248] Loss_D: -0.056023 Loss_G: 0.027370 Loss_D_real: -0.032141 Loss_D_fake 0.023882
[64/5000][170/535][6249] Loss_D: -0.058665 Loss_G: 0.044211 Loss_D_real: -0.038786 Loss_D_fake 0.019879
[64/5000][175/535][6250] Loss_D: -0.060615 Loss_G: 0.041811 Loss_D_real: -0.037297 Loss_D_fake 0.023318
[64/5000][180/535][6251] Loss_D: -0.058697 Loss_G: 0.041012 Loss_D_real: -0.041365 Loss_D_fake 0.017332
[64/5000][185/535][6252] Loss_D: -0.058516 Loss_G: 0.039406 Loss_D_real: -0.039902 Loss_D_fake 0.018614
[64/5000][190/535][6253] Loss_D: -0.060581 Loss_G: 0.042657 Loss_D_real: -0.044235 Loss_D_fake 0.016346
[64/5000][195/535][6254] Loss_D: -0.059230 Loss_G: 0.043214 Loss_D_real: -0.037927 Loss_D_fake 0.021304
[64/5000][200/535][6255] Loss_D: -0.057435 Loss_G: 0.019821 Loss_D_real: -0.028813 Loss_D_fake 0.028622
[64/5000][205/535][6256] Loss_D: -0.053578 Loss_G: 0.059223 Loss_D_real: -0.053414 Loss_D_fake 0.000164
[64/5000][210/535][6257] Loss_D: -0.054935 Loss_G: 0.007055 Loss_D_real: -0.013839 Loss_D_fake 0.041096
[64/5000][215/535][6258] Loss_D: -0.055005 Loss_G: 0.048407 Loss_D_real: -0.050328 Loss_D_fake 0.004677
[64/5000][220/535][6259] Loss_D: -0.054884 Loss_G: 0.018568 Loss_D_real: -0.024946 Loss_D_fake 0.029938
[64/5000][225/535][6260] Loss_D: -0.057749 Loss_G: 0.038005 Loss_D_real: -0.037767 Loss_D_fake 0.019982
[64/5000][230/535][6261] Loss_D: -0.059918 Loss_G: 0.021469 Loss_D_real: -0.029380 Loss_D_fake 0.030538
[64/5000][235/535][6262] Loss_D: -0.060115 Loss_G: 0.031120 Loss_D_real: -0.032678 Loss_D_fake 0.027438
[64/5000][240/535][6263] Loss_D: -0.059546 Loss_G: 0.023451 Loss_D_real: -0.028036 Loss_D_fake 0.031510
[64/5000][245/535][6264] Loss_D: -0.056107 Loss_G: 0.057232 Loss_D_real: -0.055126 Loss_D_fake 0.000981
[64/5000][250/535][6265] Loss_D: -0.055230 Loss_G: 0.005128 Loss_D_real: -0.014079 Loss_D_fake 0.041151
[64/5000][255/535][6266] Loss_D: -0.056035 Loss_G: 0.036734 Loss_D_real: -0.035510 Loss_D_fake 0.020525
[64/5000][260/535][6267] Loss_D: -0.057764 Loss_G: 0.007519 Loss_D_real: -0.024526 Loss_D_fake 0.033239
[64/5000][265/535][6268] Loss_D: -0.057190 Loss_G: 0.035524 Loss_D_real: -0.040145 Loss_D_fake 0.017045
[64/5000][270/535][6269] Loss_D: -0.058984 Loss_G: 0.038520 Loss_D_real: -0.038093 Loss_D_fake 0.020891
[64/5000][275/535][6270] Loss_D: -0.056110 Loss_G: 0.017939 Loss_D_real: -0.023973 Loss_D_fake 0.032137
[64/5000][280/535][6271] Loss_D: -0.050690 Loss_G: 0.066044 Loss_D_real: -0.065165 Loss_D_fake -0.014475
[64/5000][285/535][6272] Loss_D: -0.053667 Loss_G: 0.005717 Loss_D_real: -0.013682 Loss_D_fake 0.039985
[64/5000][290/535][6273] Loss_D: -0.054301 Loss_G: 0.036700 Loss_D_real: -0.037828 Loss_D_fake 0.016473
[64/5000][295/535][6274] Loss_D: -0.057451 Loss_G: 0.011825 Loss_D_real: -0.024035 Loss_D_fake 0.033416
[64/5000][300/535][6275] Loss_D: -0.055721 Loss_G: 0.045382 Loss_D_real: -0.045023 Loss_D_fake 0.010698
[64/5000][305/535][6276] Loss_D: -0.055417 Loss_G: 0.041464 Loss_D_real: -0.044180 Loss_D_fake 0.011236
[64/5000][310/535][6277] Loss_D: -0.056994 Loss_G: 0.011955 Loss_D_real: -0.018316 Loss_D_fake 0.038678
[64/5000][315/535][6278] Loss_D: -0.058017 Loss_G: 0.021640 Loss_D_real: -0.034809 Loss_D_fake 0.023208
[64/5000][320/535][6279] Loss_D: -0.057093 Loss_G: 0.052815 Loss_D_real: -0.050831 Loss_D_fake 0.006262
[64/5000][325/535][6280] Loss_D: -0.058699 Loss_G: 0.009290 Loss_D_real: -0.022585 Loss_D_fake 0.036114
[64/5000][330/535][6281] Loss_D: -0.057747 Loss_G: 0.048887 Loss_D_real: -0.044944 Loss_D_fake 0.012803
[64/5000][335/535][6282] Loss_D: -0.056387 Loss_G: 0.016093 Loss_D_real: -0.019395 Loss_D_fake 0.036992
[64/5000][340/535][6283] Loss_D: -0.055367 Loss_G: 0.035675 Loss_D_real: -0.041557 Loss_D_fake 0.013810
[64/5000][345/535][6284] Loss_D: -0.057694 Loss_G: 0.008201 Loss_D_real: -0.020227 Loss_D_fake 0.037467
[64/5000][350/535][6285] Loss_D: -0.055645 Loss_G: 0.042747 Loss_D_real: -0.037501 Loss_D_fake 0.018144
[64/5000][355/535][6286] Loss_D: -0.053387 Loss_G: -0.003648 Loss_D_real: -0.003452 Loss_D_fake 0.049934
[64/5000][360/535][6287] Loss_D: -0.055048 Loss_G: 0.034336 Loss_D_real: -0.043732 Loss_D_fake 0.011315
[64/5000][365/535][6288] Loss_D: -0.055429 Loss_G: 0.016444 Loss_D_real: -0.024610 Loss_D_fake 0.030818
[64/5000][370/535][6289] Loss_D: -0.056502 Loss_G: 0.031654 Loss_D_real: -0.035757 Loss_D_fake 0.020745
[64/5000][375/535][6290] Loss_D: -0.058389 Loss_G: 0.022789 Loss_D_real: -0.034243 Loss_D_fake 0.024146
[64/5000][380/535][6291] Loss_D: -0.054474 Loss_G: 0.049328 Loss_D_real: -0.055170 Loss_D_fake -0.000696
[64/5000][385/535][6292] Loss_D: -0.056344 Loss_G: 0.014532 Loss_D_real: -0.024877 Loss_D_fake 0.031466
[64/5000][390/535][6293] Loss_D: -0.056237 Loss_G: 0.043426 Loss_D_real: -0.045458 Loss_D_fake 0.010779
[64/5000][395/535][6294] Loss_D: -0.058147 Loss_G: 0.009495 Loss_D_real: -0.017964 Loss_D_fake 0.040183
[64/5000][400/535][6295] Loss_D: -0.055717 Loss_G: 0.045726 Loss_D_real: -0.045228 Loss_D_fake 0.010488
[64/5000][405/535][6296] Loss_D: -0.058278 Loss_G: 0.010499 Loss_D_real: -0.019046 Loss_D_fake 0.039232
[64/5000][410/535][6297] Loss_D: -0.057450 Loss_G: 0.043742 Loss_D_real: -0.043845 Loss_D_fake 0.013605
[64/5000][415/535][6298] Loss_D: -0.058389 Loss_G: 0.025374 Loss_D_real: -0.027248 Loss_D_fake 0.031140
[64/5000][420/535][6299] Loss_D: -0.058457 Loss_G: 0.029268 Loss_D_real: -0.039183 Loss_D_fake 0.019275
[64/5000][425/535][6300] Loss_D: -0.056564 Loss_G: 0.053477 Loss_D_real: -0.047640 Loss_D_fake 0.008924
[64/5000][430/535][6301] Loss_D: -0.055448 Loss_G: 0.010228 Loss_D_real: -0.015918 Loss_D_fake 0.039530
[64/5000][435/535][6302] Loss_D: -0.054137 Loss_G: 0.045986 Loss_D_real: -0.047139 Loss_D_fake 0.006998
[64/5000][440/535][6303] Loss_D: -0.053576 Loss_G: 0.006135 Loss_D_real: -0.016124 Loss_D_fake 0.037452
[64/5000][445/535][6304] Loss_D: -0.055245 Loss_G: 0.044020 Loss_D_real: -0.042724 Loss_D_fake 0.012520
[64/5000][450/535][6305] Loss_D: -0.058224 Loss_G: 0.035315 Loss_D_real: -0.039208 Loss_D_fake 0.019015
[64/5000][455/535][6306] Loss_D: -0.061217 Loss_G: 0.026200 Loss_D_real: -0.025935 Loss_D_fake 0.035282
[64/5000][460/535][6307] Loss_D: -0.056861 Loss_G: 0.061619 Loss_D_real: -0.058029 Loss_D_fake -0.001169
[64/5000][465/535][6308] Loss_D: -0.053386 Loss_G: 0.000730 Loss_D_real: -0.005438 Loss_D_fake 0.047947
[64/5000][470/535][6309] Loss_D: -0.053686 Loss_G: 0.028822 Loss_D_real: -0.035134 Loss_D_fake 0.018551
[64/5000][475/535][6310] Loss_D: -0.055551 Loss_G: 0.036421 Loss_D_real: -0.032336 Loss_D_fake 0.023215
[64/5000][480/535][6311] Loss_D: -0.060041 Loss_G: 0.051744 Loss_D_real: -0.044575 Loss_D_fake 0.015466
[64/5000][485/535][6312] Loss_D: -0.056853 Loss_G: 0.015244 Loss_D_real: -0.020519 Loss_D_fake 0.036334
[64/5000][490/535][6313] Loss_D: -0.056334 Loss_G: 0.058514 Loss_D_real: -0.055087 Loss_D_fake 0.001247
[64/5000][495/535][6314] Loss_D: -0.053709 Loss_G: 0.004168 Loss_D_real: -0.012493 Loss_D_fake 0.041216
[64/5000][500/535][6315] Loss_D: -0.057048 Loss_G: 0.027446 Loss_D_real: -0.035435 Loss_D_fake 0.021613
[64/5000][505/535][6316] Loss_D: -0.056584 Loss_G: 0.050245 Loss_D_real: -0.047480 Loss_D_fake 0.009104
[64/5000][510/535][6317] Loss_D: -0.057903 Loss_G: 0.026566 Loss_D_real: -0.032728 Loss_D_fake 0.025175
[64/5000][515/535][6318] Loss_D: -0.058072 Loss_G: 0.046405 Loss_D_real: -0.048679 Loss_D_fake 0.009393
[64/5000][520/535][6319] Loss_D: -0.057837 Loss_G: 0.009634 Loss_D_real: -0.020680 Loss_D_fake 0.037158
[64/5000][525/535][6320] Loss_D: -0.054510 Loss_G: 0.033674 Loss_D_real: -0.040551 Loss_D_fake 0.013959
[64/5000][530/535][6321] Loss_D: -0.053232 Loss_G: 0.052247 Loss_D_real: -0.049393 Loss_D_fake 0.003839
[64/5000][535/535][6322] Loss_D: -0.055701 Loss_G: 0.016119 Loss_D_real: -0.016813 Loss_D_fake 0.038888
[65/5000][5/535][6323] Loss_D: -0.056153 Loss_G: 0.036397 Loss_D_real: -0.038710 Loss_D_fake 0.017443
[65/5000][10/535][6324] Loss_D: -0.055959 Loss_G: 0.009812 Loss_D_real: -0.019733 Loss_D_fake 0.036226
[65/5000][15/535][6325] Loss_D: -0.058348 Loss_G: 0.035451 Loss_D_real: -0.044359 Loss_D_fake 0.013990
[65/5000][20/535][6326] Loss_D: -0.057692 Loss_G: 0.045853 Loss_D_real: -0.042979 Loss_D_fake 0.014713
[65/5000][25/535][6327] Loss_D: -0.057315 Loss_G: 0.024168 Loss_D_real: -0.029690 Loss_D_fake 0.027625
[65/5000][30/535][6328] Loss_D: -0.058931 Loss_G: 0.037206 Loss_D_real: -0.042474 Loss_D_fake 0.016457
[65/5000][35/535][6329] Loss_D: -0.059571 Loss_G: 0.034126 Loss_D_real: -0.042703 Loss_D_fake 0.016867
[65/5000][40/535][6330] Loss_D: -0.058256 Loss_G: 0.045794 Loss_D_real: -0.039769 Loss_D_fake 0.018486
[65/5000][45/535][6331] Loss_D: -0.057858 Loss_G: 0.011573 Loss_D_real: -0.024651 Loss_D_fake 0.033206
[65/5000][50/535][6332] Loss_D: -0.055538 Loss_G: 0.049104 Loss_D_real: -0.045861 Loss_D_fake 0.009677
[65/5000][55/535][6333] Loss_D: -0.054152 Loss_G: 0.006495 Loss_D_real: -0.011798 Loss_D_fake 0.042354
[65/5000][60/535][6334] Loss_D: -0.054608 Loss_G: 0.038979 Loss_D_real: -0.040865 Loss_D_fake 0.013744
[65/5000][65/535][6335] Loss_D: -0.056734 Loss_G: 0.010516 Loss_D_real: -0.018332 Loss_D_fake 0.038402
[65/5000][70/535][6336] Loss_D: -0.054674 Loss_G: 0.037375 Loss_D_real: -0.038397 Loss_D_fake 0.016277
[65/5000][75/535][6337] Loss_D: -0.058155 Loss_G: 0.018505 Loss_D_real: -0.027936 Loss_D_fake 0.030219
[65/5000][80/535][6338] Loss_D: -0.053599 Loss_G: 0.055991 Loss_D_real: -0.056265 Loss_D_fake -0.002667
[65/5000][85/535][6339] Loss_D: -0.055301 Loss_G: 0.006434 Loss_D_real: -0.012463 Loss_D_fake 0.042838
[65/5000][90/535][6340] Loss_D: -0.055705 Loss_G: 0.026399 Loss_D_real: -0.032207 Loss_D_fake 0.023498
[65/5000][95/535][6341] Loss_D: -0.055982 Loss_G: 0.047260 Loss_D_real: -0.046507 Loss_D_fake 0.009475
[65/5000][100/535][6342] Loss_D: -0.056014 Loss_G: 0.022201 Loss_D_real: -0.027511 Loss_D_fake 0.028503
[65/5000][105/535][6343] Loss_D: -0.057559 Loss_G: 0.047721 Loss_D_real: -0.041904 Loss_D_fake 0.015656
[65/5000][110/535][6344] Loss_D: -0.056903 Loss_G: 0.009611 Loss_D_real: -0.020702 Loss_D_fake 0.036202
[65/5000][115/535][6345] Loss_D: -0.055007 Loss_G: 0.053716 Loss_D_real: -0.057449 Loss_D_fake -0.002442
[65/5000][120/535][6346] Loss_D: -0.057163 Loss_G: 0.009723 Loss_D_real: -0.017534 Loss_D_fake 0.039629
[65/5000][125/535][6347] Loss_D: -0.054358 Loss_G: 0.047735 Loss_D_real: -0.049186 Loss_D_fake 0.005172
[65/5000][130/535][6348] Loss_D: -0.054428 Loss_G: 0.025289 Loss_D_real: -0.025505 Loss_D_fake 0.028922
[65/5000][135/535][6349] Loss_D: -0.057366 Loss_G: 0.028652 Loss_D_real: -0.036848 Loss_D_fake 0.020517
[65/5000][140/535][6350] Loss_D: -0.058346 Loss_G: 0.010560 Loss_D_real: -0.024510 Loss_D_fake 0.033836
[65/5000][145/535][6351] Loss_D: -0.055713 Loss_G: 0.054507 Loss_D_real: -0.051416 Loss_D_fake 0.004297
[65/5000][150/535][6352] Loss_D: -0.055564 Loss_G: 0.006735 Loss_D_real: -0.010889 Loss_D_fake 0.044675
[65/5000][155/535][6353] Loss_D: -0.052981 Loss_G: 0.040827 Loss_D_real: -0.041692 Loss_D_fake 0.011288
[65/5000][160/535][6354] Loss_D: -0.056282 Loss_G: 0.022092 Loss_D_real: -0.021409 Loss_D_fake 0.034873
[65/5000][165/535][6355] Loss_D: -0.058314 Loss_G: 0.042757 Loss_D_real: -0.042980 Loss_D_fake 0.015334
[65/5000][170/535][6356] Loss_D: -0.056630 Loss_G: 0.010945 Loss_D_real: -0.019933 Loss_D_fake 0.036697
[65/5000][175/535][6357] Loss_D: -0.056918 Loss_G: 0.039754 Loss_D_real: -0.037768 Loss_D_fake 0.019150
[65/5000][180/535][6358] Loss_D: -0.057043 Loss_G: 0.049939 Loss_D_real: -0.044641 Loss_D_fake 0.012402
[65/5000][185/535][6359] Loss_D: -0.057044 Loss_G: 0.021863 Loss_D_real: -0.026409 Loss_D_fake 0.030634
[65/5000][190/535][6360] Loss_D: -0.058687 Loss_G: 0.054895 Loss_D_real: -0.046007 Loss_D_fake 0.012681
[65/5000][195/535][6361] Loss_D: -0.056062 Loss_G: 0.009177 Loss_D_real: -0.021885 Loss_D_fake 0.034177
[65/5000][200/535][6362] Loss_D: -0.054709 Loss_G: 0.038915 Loss_D_real: -0.039701 Loss_D_fake 0.015009
[65/5000][205/535][6363] Loss_D: -0.058492 Loss_G: 0.032557 Loss_D_real: -0.037649 Loss_D_fake 0.020843
[65/5000][210/535][6364] Loss_D: -0.056814 Loss_G: 0.031522 Loss_D_real: -0.033798 Loss_D_fake 0.023016
[65/5000][215/535][6365] Loss_D: -0.058035 Loss_G: 0.027662 Loss_D_real: -0.032211 Loss_D_fake 0.025824
[65/5000][220/535][6366] Loss_D: -0.058220 Loss_G: 0.052024 Loss_D_real: -0.042458 Loss_D_fake 0.015761
[65/5000][225/535][6367] Loss_D: -0.056892 Loss_G: 0.001619 Loss_D_real: -0.019790 Loss_D_fake 0.037102
[65/5000][230/535][6368] Loss_D: -0.053746 Loss_G: 0.049985 Loss_D_real: -0.049995 Loss_D_fake 0.003751
[65/5000][235/535][6369] Loss_D: -0.057380 Loss_G: 0.017939 Loss_D_real: -0.020675 Loss_D_fake 0.036705
[65/5000][240/535][6370] Loss_D: -0.055878 Loss_G: 0.032919 Loss_D_real: -0.042056 Loss_D_fake 0.013822
[65/5000][245/535][6371] Loss_D: -0.059483 Loss_G: 0.019045 Loss_D_real: -0.028519 Loss_D_fake 0.030965
[65/5000][250/535][6372] Loss_D: -0.057258 Loss_G: 0.053274 Loss_D_real: -0.053016 Loss_D_fake 0.004242
[65/5000][255/535][6373] Loss_D: -0.055980 Loss_G: 0.013463 Loss_D_real: -0.022341 Loss_D_fake 0.033639
[65/5000][260/535][6374] Loss_D: -0.056493 Loss_G: 0.042169 Loss_D_real: -0.042896 Loss_D_fake 0.013597
[65/5000][265/535][6375] Loss_D: -0.058882 Loss_G: 0.020736 Loss_D_real: -0.028117 Loss_D_fake 0.030765
[65/5000][270/535][6376] Loss_D: -0.059235 Loss_G: 0.043293 Loss_D_real: -0.045989 Loss_D_fake 0.013246
[65/5000][275/535][6377] Loss_D: -0.056097 Loss_G: 0.013268 Loss_D_real: -0.020602 Loss_D_fake 0.035495
[65/5000][280/535][6378] Loss_D: -0.059618 Loss_G: 0.046147 Loss_D_real: -0.043188 Loss_D_fake 0.016429
[65/5000][285/535][6379] Loss_D: -0.057831 Loss_G: 0.007112 Loss_D_real: -0.024124 Loss_D_fake 0.033707
[65/5000][290/535][6380] Loss_D: -0.057078 Loss_G: 0.045922 Loss_D_real: -0.044904 Loss_D_fake 0.012175
[65/5000][295/535][6381] Loss_D: -0.058462 Loss_G: 0.040632 Loss_D_real: -0.036567 Loss_D_fake 0.021895
[65/5000][300/535][6382] Loss_D: -0.058026 Loss_G: 0.030563 Loss_D_real: -0.033967 Loss_D_fake 0.024059
[65/5000][305/535][6383] Loss_D: -0.057632 Loss_G: 0.033382 Loss_D_real: -0.040799 Loss_D_fake 0.016833
[65/5000][310/535][6384] Loss_D: -0.059188 Loss_G: 0.032741 Loss_D_real: -0.034612 Loss_D_fake 0.024577
[65/5000][315/535][6385] Loss_D: -0.058220 Loss_G: 0.037254 Loss_D_real: -0.034536 Loss_D_fake 0.023684
[65/5000][320/535][6386] Loss_D: -0.057550 Loss_G: 0.033985 Loss_D_real: -0.032586 Loss_D_fake 0.024964
[65/5000][325/535][6387] Loss_D: -0.055578 Loss_G: 0.061345 Loss_D_real: -0.051359 Loss_D_fake 0.004219
[65/5000][330/535][6388] Loss_D: -0.052088 Loss_G: -0.001151 Loss_D_real: -0.009900 Loss_D_fake 0.042188
[65/5000][335/535][6389] Loss_D: -0.050996 Loss_G: 0.050294 Loss_D_real: -0.052968 Loss_D_fake -0.001972
[65/5000][340/535][6390] Loss_D: -0.055938 Loss_G: 0.031731 Loss_D_real: -0.033910 Loss_D_fake 0.022029
[65/5000][345/535][6391] Loss_D: -0.058174 Loss_G: 0.042020 Loss_D_real: -0.044300 Loss_D_fake 0.013874
[65/5000][350/535][6392] Loss_D: -0.059099 Loss_G: 0.033052 Loss_D_real: -0.033781 Loss_D_fake 0.025318
[65/5000][355/535][6393] Loss_D: -0.056877 Loss_G: 0.036903 Loss_D_real: -0.041113 Loss_D_fake 0.015765
[65/5000][360/535][6394] Loss_D: -0.057145 Loss_G: 0.016049 Loss_D_real: -0.026338 Loss_D_fake 0.030807
[65/5000][365/535][6395] Loss_D: -0.053182 Loss_G: 0.056338 Loss_D_real: -0.057990 Loss_D_fake -0.004808
[65/5000][370/535][6396] Loss_D: -0.056980 Loss_G: 0.006337 Loss_D_real: -0.019084 Loss_D_fake 0.037896
[65/5000][375/535][6397] Loss_D: -0.054551 Loss_G: 0.034969 Loss_D_real: -0.040469 Loss_D_fake 0.014082
[65/5000][380/535][6398] Loss_D: -0.054633 Loss_G: 0.056701 Loss_D_real: -0.048910 Loss_D_fake 0.005723
[65/5000][385/535][6399] Loss_D: -0.055508 Loss_G: 0.007293 Loss_D_real: -0.015054 Loss_D_fake 0.040453
[65/5000][390/535][6400] Loss_D: -0.053505 Loss_G: 0.044040 Loss_D_real: -0.046943 Loss_D_fake 0.006562
[65/5000][395/535][6401] Loss_D: -0.054980 Loss_G: 0.015798 Loss_D_real: -0.024661 Loss_D_fake 0.030319
[65/5000][400/535][6402] Loss_D: -0.056952 Loss_G: 0.050481 Loss_D_real: -0.053580 Loss_D_fake 0.003372
[65/5000][405/535][6403] Loss_D: -0.057673 Loss_G: 0.014602 Loss_D_real: -0.022802 Loss_D_fake 0.034871
[65/5000][410/535][6404] Loss_D: -0.055071 Loss_G: 0.017059 Loss_D_real: -0.028497 Loss_D_fake 0.026573
[65/5000][415/535][6405] Loss_D: -0.057451 Loss_G: 0.047752 Loss_D_real: -0.044887 Loss_D_fake 0.012565
[65/5000][420/535][6406] Loss_D: -0.059377 Loss_G: 0.022474 Loss_D_real: -0.033294 Loss_D_fake 0.026083
[65/5000][425/535][6407] Loss_D: -0.057112 Loss_G: 0.048012 Loss_D_real: -0.043024 Loss_D_fake 0.014087
[65/5000][430/535][6408] Loss_D: -0.058486 Loss_G: 0.034124 Loss_D_real: -0.037678 Loss_D_fake 0.020808
[65/5000][435/535][6409] Loss_D: -0.058042 Loss_G: 0.007008 Loss_D_real: -0.019677 Loss_D_fake 0.038365
[65/5000][440/535][6410] Loss_D: -0.049386 Loss_G: 0.054234 Loss_D_real: -0.056647 Loss_D_fake -0.007261
[65/5000][445/535][6411] Loss_D: -0.054246 Loss_G: 0.003518 Loss_D_real: -0.010853 Loss_D_fake 0.043393
[65/5000][450/535][6412] Loss_D: -0.052981 Loss_G: 0.047271 Loss_D_real: -0.046803 Loss_D_fake 0.006178
[65/5000][455/535][6413] Loss_D: -0.056338 Loss_G: 0.033894 Loss_D_real: -0.037458 Loss_D_fake 0.018881
[65/5000][460/535][6414] Loss_D: -0.056224 Loss_G: 0.021672 Loss_D_real: -0.029629 Loss_D_fake 0.026595
[65/5000][465/535][6415] Loss_D: -0.057605 Loss_G: 0.033956 Loss_D_real: -0.030761 Loss_D_fake 0.026844
[65/5000][470/535][6416] Loss_D: -0.056432 Loss_G: -0.005611 Loss_D_real: -0.014802 Loss_D_fake 0.041630
[65/5000][475/535][6417] Loss_D: -0.053541 Loss_G: 0.041314 Loss_D_real: -0.044964 Loss_D_fake 0.008577
[65/5000][480/535][6418] Loss_D: -0.055167 Loss_G: 0.048601 Loss_D_real: -0.046231 Loss_D_fake 0.008936
[65/5000][485/535][6419] Loss_D: -0.055764 Loss_G: 0.002266 Loss_D_real: -0.013050 Loss_D_fake 0.042715
[65/5000][490/535][6420] Loss_D: -0.053506 Loss_G: 0.044351 Loss_D_real: -0.043527 Loss_D_fake 0.009979
[65/5000][495/535][6421] Loss_D: -0.053207 Loss_G: 0.015795 Loss_D_real: -0.022014 Loss_D_fake 0.031192
[65/5000][500/535][6422] Loss_D: -0.056762 Loss_G: 0.050079 Loss_D_real: -0.048105 Loss_D_fake 0.008657
[65/5000][505/535][6423] Loss_D: -0.054383 Loss_G: 0.016371 Loss_D_real: -0.018480 Loss_D_fake 0.035903
[65/5000][510/535][6424] Loss_D: -0.054753 Loss_G: 0.043232 Loss_D_real: -0.044331 Loss_D_fake 0.010422
[65/5000][515/535][6425] Loss_D: -0.058819 Loss_G: 0.019083 Loss_D_real: -0.027868 Loss_D_fake 0.030951
[65/5000][520/535][6426] Loss_D: -0.055244 Loss_G: 0.037246 Loss_D_real: -0.035613 Loss_D_fake 0.019631
[65/5000][525/535][6427] Loss_D: -0.054745 Loss_G: 0.006013 Loss_D_real: -0.015084 Loss_D_fake 0.039662
[65/5000][530/535][6428] Loss_D: -0.056061 Loss_G: 0.042375 Loss_D_real: -0.044393 Loss_D_fake 0.011668
[65/5000][535/535][6429] Loss_D: -0.055418 Loss_G: 0.013992 Loss_D_real: -0.018751 Loss_D_fake 0.036668
[66/5000][5/535][6430] Loss_D: -0.056833 Loss_G: 0.048913 Loss_D_real: -0.052084 Loss_D_fake 0.004749
[66/5000][10/535][6431] Loss_D: -0.055959 Loss_G: 0.022412 Loss_D_real: -0.030965 Loss_D_fake 0.024994
[66/5000][15/535][6432] Loss_D: -0.058128 Loss_G: 0.045906 Loss_D_real: -0.043998 Loss_D_fake 0.014130
[66/5000][20/535][6433] Loss_D: -0.056929 Loss_G: 0.004699 Loss_D_real: -0.017465 Loss_D_fake 0.039464
[66/5000][25/535][6434] Loss_D: -0.056693 Loss_G: 0.039949 Loss_D_real: -0.040094 Loss_D_fake 0.016600
[66/5000][30/535][6435] Loss_D: -0.055731 Loss_G: 0.006637 Loss_D_real: -0.015687 Loss_D_fake 0.040045
[66/5000][35/535][6436] Loss_D: -0.051615 Loss_G: 0.039794 Loss_D_real: -0.041500 Loss_D_fake 0.010115
[66/5000][40/535][6437] Loss_D: -0.054068 Loss_G: 0.007950 Loss_D_real: -0.016625 Loss_D_fake 0.037444
[66/5000][45/535][6438] Loss_D: -0.053652 Loss_G: 0.043613 Loss_D_real: -0.044881 Loss_D_fake 0.008771
[66/5000][50/535][6439] Loss_D: -0.054596 Loss_G: 0.004876 Loss_D_real: -0.014758 Loss_D_fake 0.039837
[66/5000][55/535][6440] Loss_D: -0.057708 Loss_G: 0.027072 Loss_D_real: -0.033089 Loss_D_fake 0.024619
[66/5000][60/535][6441] Loss_D: -0.056543 Loss_G: 0.027229 Loss_D_real: -0.031928 Loss_D_fake 0.024614
[66/5000][65/535][6442] Loss_D: -0.057157 Loss_G: 0.058827 Loss_D_real: -0.053886 Loss_D_fake 0.003271
[66/5000][70/535][6443] Loss_D: -0.055486 Loss_G: 0.020187 Loss_D_real: -0.025571 Loss_D_fake 0.029915
[66/5000][75/535][6444] Loss_D: -0.055830 Loss_G: 0.041228 Loss_D_real: -0.043759 Loss_D_fake 0.012071
[66/5000][80/535][6445] Loss_D: -0.059208 Loss_G: 0.023259 Loss_D_real: -0.024508 Loss_D_fake 0.034700
[66/5000][85/535][6446] Loss_D: -0.060763 Loss_G: 0.051648 Loss_D_real: -0.048557 Loss_D_fake 0.012206
[66/5000][90/535][6447] Loss_D: -0.057504 Loss_G: 0.024671 Loss_D_real: -0.031681 Loss_D_fake 0.025823
[66/5000][95/535][6448] Loss_D: -0.058198 Loss_G: 0.045877 Loss_D_real: -0.046088 Loss_D_fake 0.012110
[66/5000][100/535][6449] Loss_D: -0.057971 Loss_G: 0.035892 Loss_D_real: -0.039366 Loss_D_fake 0.018604
[66/5000][105/535][6450] Loss_D: -0.055384 Loss_G: 0.009321 Loss_D_real: -0.020883 Loss_D_fake 0.034501
[66/5000][110/535][6451] Loss_D: -0.054101 Loss_G: 0.046282 Loss_D_real: -0.045520 Loss_D_fake 0.008581
[66/5000][115/535][6452] Loss_D: -0.057522 Loss_G: 0.021118 Loss_D_real: -0.031693 Loss_D_fake 0.025829
[66/5000][120/535][6453] Loss_D: -0.056229 Loss_G: 0.036832 Loss_D_real: -0.041381 Loss_D_fake 0.014847
[66/5000][125/535][6454] Loss_D: -0.055890 Loss_G: 0.028378 Loss_D_real: -0.025098 Loss_D_fake 0.030792
[66/5000][130/535][6455] Loss_D: -0.057600 Loss_G: 0.025525 Loss_D_real: -0.027765 Loss_D_fake 0.029835
[66/5000][135/535][6456] Loss_D: -0.057833 Loss_G: 0.007662 Loss_D_real: -0.021497 Loss_D_fake 0.036336
[66/5000][140/535][6457] Loss_D: -0.051802 Loss_G: 0.056336 Loss_D_real: -0.057114 Loss_D_fake -0.005312
[66/5000][145/535][6458] Loss_D: -0.051767 Loss_G: 0.004074 Loss_D_real: -0.012013 Loss_D_fake 0.039754
[66/5000][150/535][6459] Loss_D: -0.054116 Loss_G: 0.037653 Loss_D_real: -0.043107 Loss_D_fake 0.011010
[66/5000][155/535][6460] Loss_D: -0.056194 Loss_G: 0.025468 Loss_D_real: -0.027011 Loss_D_fake 0.029183
[66/5000][160/535][6461] Loss_D: -0.057370 Loss_G: 0.040222 Loss_D_real: -0.041961 Loss_D_fake 0.015409
[66/5000][165/535][6462] Loss_D: -0.055314 Loss_G: 0.054526 Loss_D_real: -0.052762 Loss_D_fake 0.002551
[66/5000][170/535][6463] Loss_D: -0.054200 Loss_G: -0.003784 Loss_D_real: -0.013008 Loss_D_fake 0.041192
[66/5000][175/535][6464] Loss_D: -0.054827 Loss_G: 0.057183 Loss_D_real: -0.057719 Loss_D_fake -0.002892
[66/5000][180/535][6465] Loss_D: -0.056858 Loss_G: 0.045396 Loss_D_real: -0.039526 Loss_D_fake 0.017333
[66/5000][185/535][6466] Loss_D: -0.057354 Loss_G: 0.017007 Loss_D_real: -0.025376 Loss_D_fake 0.031978
[66/5000][190/535][6467] Loss_D: -0.055790 Loss_G: 0.054194 Loss_D_real: -0.044675 Loss_D_fake 0.011116
[66/5000][195/535][6468] Loss_D: -0.058807 Loss_G: 0.024685 Loss_D_real: -0.030123 Loss_D_fake 0.028683
[66/5000][200/535][6469] Loss_D: -0.060148 Loss_G: 0.047535 Loss_D_real: -0.043521 Loss_D_fake 0.016627
[66/5000][205/535][6470] Loss_D: -0.060848 Loss_G: 0.027188 Loss_D_real: -0.035204 Loss_D_fake 0.025644
[66/5000][210/535][6471] Loss_D: -0.059302 Loss_G: 0.056713 Loss_D_real: -0.049434 Loss_D_fake 0.009868
[66/5000][215/535][6472] Loss_D: -0.057435 Loss_G: 0.042282 Loss_D_real: -0.039951 Loss_D_fake 0.017484
[66/5000][220/535][6473] Loss_D: -0.055387 Loss_G: 0.012778 Loss_D_real: -0.020734 Loss_D_fake 0.034653
[66/5000][225/535][6474] Loss_D: -0.052952 Loss_G: 0.060106 Loss_D_real: -0.056787 Loss_D_fake -0.003835
[66/5000][230/535][6475] Loss_D: -0.053346 Loss_G: 0.003796 Loss_D_real: -0.013528 Loss_D_fake 0.039818
[66/5000][235/535][6476] Loss_D: -0.052343 Loss_G: 0.048935 Loss_D_real: -0.044171 Loss_D_fake 0.008172
[66/5000][240/535][6477] Loss_D: -0.054412 Loss_G: 0.020262 Loss_D_real: -0.024072 Loss_D_fake 0.030340
[66/5000][245/535][6478] Loss_D: -0.056837 Loss_G: 0.037581 Loss_D_real: -0.036973 Loss_D_fake 0.019864
[66/5000][250/535][6479] Loss_D: -0.056760 Loss_G: 0.015584 Loss_D_real: -0.026608 Loss_D_fake 0.030152
[66/5000][255/535][6480] Loss_D: -0.057398 Loss_G: 0.047679 Loss_D_real: -0.048271 Loss_D_fake 0.009127
[66/5000][260/535][6481] Loss_D: -0.057168 Loss_G: 0.011071 Loss_D_real: -0.016629 Loss_D_fake 0.040539
[66/5000][265/535][6482] Loss_D: -0.058051 Loss_G: 0.035162 Loss_D_real: -0.037833 Loss_D_fake 0.020218
[66/5000][270/535][6483] Loss_D: -0.056087 Loss_G: 0.047455 Loss_D_real: -0.046106 Loss_D_fake 0.009981
[66/5000][275/535][6484] Loss_D: -0.055232 Loss_G: 0.003340 Loss_D_real: -0.013874 Loss_D_fake 0.041358
[66/5000][280/535][6485] Loss_D: -0.054564 Loss_G: 0.053951 Loss_D_real: -0.051145 Loss_D_fake 0.003419
[66/5000][285/535][6486] Loss_D: -0.057225 Loss_G: 0.009861 Loss_D_real: -0.016061 Loss_D_fake 0.041164
[66/5000][290/535][6487] Loss_D: -0.055630 Loss_G: 0.040357 Loss_D_real: -0.043809 Loss_D_fake 0.011821
[66/5000][295/535][6488] Loss_D: -0.059784 Loss_G: 0.020158 Loss_D_real: -0.026730 Loss_D_fake 0.033055
[66/5000][300/535][6489] Loss_D: -0.056813 Loss_G: 0.023601 Loss_D_real: -0.027880 Loss_D_fake 0.028933
[66/5000][305/535][6490] Loss_D: -0.056905 Loss_G: 0.044895 Loss_D_real: -0.039320 Loss_D_fake 0.017585
[66/5000][310/535][6491] Loss_D: -0.056765 Loss_G: 0.042664 Loss_D_real: -0.037766 Loss_D_fake 0.018999
[66/5000][315/535][6492] Loss_D: -0.056028 Loss_G: 0.014013 Loss_D_real: -0.019953 Loss_D_fake 0.036075
[66/5000][320/535][6493] Loss_D: -0.057179 Loss_G: 0.051671 Loss_D_real: -0.046003 Loss_D_fake 0.011175
[66/5000][325/535][6494] Loss_D: -0.051708 Loss_G: -0.002855 Loss_D_real: -0.005777 Loss_D_fake 0.045931
[66/5000][330/535][6495] Loss_D: -0.052072 Loss_G: 0.049445 Loss_D_real: -0.052454 Loss_D_fake -0.000381
[66/5000][335/535][6496] Loss_D: -0.057526 Loss_G: 0.029859 Loss_D_real: -0.031699 Loss_D_fake 0.025827
[66/5000][340/535][6497] Loss_D: -0.053523 Loss_G: 0.047939 Loss_D_real: -0.046207 Loss_D_fake 0.007316
[66/5000][345/535][6498] Loss_D: -0.056087 Loss_G: 0.028791 Loss_D_real: -0.027744 Loss_D_fake 0.028343
[66/5000][350/535][6499] Loss_D: -0.058645 Loss_G: 0.047260 Loss_D_real: -0.044691 Loss_D_fake 0.013954
[66/5000][355/535][6500] Loss_D: -0.056815 Loss_G: -0.003602 Loss_D_real: -0.011642 Loss_D_fake 0.045174
[66/5000][455/535][6501] Loss_D: -0.054291 Loss_G: 0.046524 Loss_D_real: -0.052121 Loss_D_fake 0.002170
[66/5000][460/535][6502] Loss_D: -0.056216 Loss_G: 0.055796 Loss_D_real: -0.049686 Loss_D_fake 0.006530
[66/5000][465/535][6503] Loss_D: -0.053471 Loss_G: 0.022980 Loss_D_real: -0.028313 Loss_D_fake 0.025157
[66/5000][470/535][6504] Loss_D: -0.050087 Loss_G: 0.015366 Loss_D_real: -0.023496 Loss_D_fake 0.026591
[66/5000][475/535][6505] Loss_D: -0.052799 Loss_G: 0.035548 Loss_D_real: -0.038368 Loss_D_fake 0.014431
[66/5000][480/535][6506] Loss_D: -0.055102 Loss_G: 0.040099 Loss_D_real: -0.039323 Loss_D_fake 0.015779
[66/5000][485/535][6507] Loss_D: -0.054341 Loss_G: 0.041520 Loss_D_real: -0.043806 Loss_D_fake 0.010535
[66/5000][490/535][6508] Loss_D: -0.056413 Loss_G: 0.030594 Loss_D_real: -0.032195 Loss_D_fake 0.024218
[66/5000][495/535][6509] Loss_D: -0.057228 Loss_G: 0.020211 Loss_D_real: -0.028573 Loss_D_fake 0.028655
[66/5000][500/535][6510] Loss_D: -0.053830 Loss_G: 0.059076 Loss_D_real: -0.054575 Loss_D_fake -0.000746
[66/5000][505/535][6511] Loss_D: -0.052338 Loss_G: 0.021264 Loss_D_real: -0.021166 Loss_D_fake 0.031172
[66/5000][510/535][6512] Loss_D: -0.054649 Loss_G: 0.043346 Loss_D_real: -0.042162 Loss_D_fake 0.012487
[66/5000][515/535][6513] Loss_D: -0.053486 Loss_G: 0.008581 Loss_D_real: -0.013665 Loss_D_fake 0.039821
[66/5000][520/535][6514] Loss_D: -0.053278 Loss_G: 0.028701 Loss_D_real: -0.035325 Loss_D_fake 0.017953
[66/5000][525/535][6515] Loss_D: -0.056064 Loss_G: 0.026515 Loss_D_real: -0.030227 Loss_D_fake 0.025837
[66/5000][530/535][6516] Loss_D: -0.055652 Loss_G: 0.044325 Loss_D_real: -0.046873 Loss_D_fake 0.008779
[66/5000][535/535][6517] Loss_D: -0.056448 Loss_G: 0.023494 Loss_D_real: -0.023196 Loss_D_fake 0.033252
[67/5000][5/535][6518] Loss_D: -0.055689 Loss_G: 0.059105 Loss_D_real: -0.053895 Loss_D_fake 0.001794
[67/5000][10/535][6519] Loss_D: -0.054261 Loss_G: 0.020442 Loss_D_real: -0.023198 Loss_D_fake 0.031063
[67/5000][15/535][6520] Loss_D: -0.053754 Loss_G: 0.022292 Loss_D_real: -0.030561 Loss_D_fake 0.023193
[67/5000][20/535][6521] Loss_D: -0.055791 Loss_G: 0.051422 Loss_D_real: -0.050644 Loss_D_fake 0.005146
[67/5000][25/535][6522] Loss_D: -0.054123 Loss_G: 0.006631 Loss_D_real: -0.011403 Loss_D_fake 0.042720
[67/5000][30/535][6523] Loss_D: -0.056174 Loss_G: 0.038319 Loss_D_real: -0.041454 Loss_D_fake 0.014720
[67/5000][35/535][6524] Loss_D: -0.057069 Loss_G: 0.044080 Loss_D_real: -0.041802 Loss_D_fake 0.015267
[67/5000][40/535][6525] Loss_D: -0.056894 Loss_G: 0.004125 Loss_D_real: -0.018322 Loss_D_fake 0.038573
[67/5000][45/535][6526] Loss_D: -0.055189 Loss_G: 0.046749 Loss_D_real: -0.047725 Loss_D_fake 0.007464
[67/5000][50/535][6527] Loss_D: -0.057041 Loss_G: 0.030490 Loss_D_real: -0.030533 Loss_D_fake 0.026507
[67/5000][55/535][6528] Loss_D: -0.057744 Loss_G: 0.049531 Loss_D_real: -0.048745 Loss_D_fake 0.008999
[67/5000][60/535][6529] Loss_D: -0.057108 Loss_G: 0.001059 Loss_D_real: -0.019295 Loss_D_fake 0.037814
[67/5000][65/535][6530] Loss_D: -0.054422 Loss_G: 0.047275 Loss_D_real: -0.050480 Loss_D_fake 0.003942
[67/5000][70/535][6531] Loss_D: -0.054733 Loss_G: 0.007916 Loss_D_real: -0.016676 Loss_D_fake 0.038058
[67/5000][75/535][6532] Loss_D: -0.058101 Loss_G: 0.038068 Loss_D_real: -0.044781 Loss_D_fake 0.013320
[67/5000][80/535][6533] Loss_D: -0.056565 Loss_G: 0.018537 Loss_D_real: -0.026132 Loss_D_fake 0.030434
[67/5000][85/535][6534] Loss_D: -0.057668 Loss_G: 0.041380 Loss_D_real: -0.041406 Loss_D_fake 0.016262
[67/5000][90/535][6535] Loss_D: -0.056325 Loss_G: 0.010106 Loss_D_real: -0.018577 Loss_D_fake 0.037748
[67/5000][95/535][6536] Loss_D: -0.059444 Loss_G: 0.039798 Loss_D_real: -0.043186 Loss_D_fake 0.016258
[67/5000][100/535][6537] Loss_D: -0.061312 Loss_G: 0.035616 Loss_D_real: -0.040469 Loss_D_fake 0.020843
[67/5000][105/535][6538] Loss_D: -0.062204 Loss_G: 0.027218 Loss_D_real: -0.035559 Loss_D_fake 0.026645
[67/5000][110/535][6539] Loss_D: -0.057700 Loss_G: 0.046046 Loss_D_real: -0.045416 Loss_D_fake 0.012284
[67/5000][115/535][6540] Loss_D: -0.056820 Loss_G: 0.024243 Loss_D_real: -0.027443 Loss_D_fake 0.029377
[67/5000][120/535][6541] Loss_D: -0.058330 Loss_G: 0.016621 Loss_D_real: -0.029782 Loss_D_fake 0.028547
[67/5000][125/535][6542] Loss_D: -0.054541 Loss_G: 0.045150 Loss_D_real: -0.044120 Loss_D_fake 0.010421
[67/5000][130/535][6543] Loss_D: -0.052882 Loss_G: 0.009816 Loss_D_real: -0.014027 Loss_D_fake 0.038855
[67/5000][135/535][6544] Loss_D: -0.056272 Loss_G: 0.043769 Loss_D_real: -0.046031 Loss_D_fake 0.010241
[67/5000][140/535][6545] Loss_D: -0.054265 Loss_G: 0.009556 Loss_D_real: -0.014400 Loss_D_fake 0.039865
[67/5000][145/535][6546] Loss_D: -0.056720 Loss_G: 0.028816 Loss_D_real: -0.034685 Loss_D_fake 0.022035
[67/5000][150/535][6547] Loss_D: -0.059458 Loss_G: 0.020052 Loss_D_real: -0.028667 Loss_D_fake 0.030790
[67/5000][155/535][6548] Loss_D: -0.055193 Loss_G: 0.045083 Loss_D_real: -0.042364 Loss_D_fake 0.012829
[67/5000][160/535][6549] Loss_D: -0.054998 Loss_G: 0.011145 Loss_D_real: -0.020809 Loss_D_fake 0.034189
[67/5000][165/535][6550] Loss_D: -0.054535 Loss_G: 0.039720 Loss_D_real: -0.042763 Loss_D_fake 0.011773
[67/5000][170/535][6551] Loss_D: -0.051202 Loss_G: -0.002862 Loss_D_real: -0.012869 Loss_D_fake 0.038333
[67/5000][175/535][6552] Loss_D: -0.053893 Loss_G: 0.037616 Loss_D_real: -0.036231 Loss_D_fake 0.017662
[67/5000][180/535][6553] Loss_D: -0.053867 Loss_G: 0.037058 Loss_D_real: -0.035995 Loss_D_fake 0.017873
[67/5000][185/535][6554] Loss_D: -0.055390 Loss_G: 0.025402 Loss_D_real: -0.034293 Loss_D_fake 0.021097
[67/5000][190/535][6555] Loss_D: -0.050905 Loss_G: 0.060995 Loss_D_real: -0.062144 Loss_D_fake -0.011240
[67/5000][195/535][6556] Loss_D: -0.054514 Loss_G: 0.014399 Loss_D_real: -0.016240 Loss_D_fake 0.038274
[67/5000][200/535][6557] Loss_D: -0.056480 Loss_G: 0.032891 Loss_D_real: -0.036931 Loss_D_fake 0.019549
[67/5000][205/535][6558] Loss_D: -0.053965 Loss_G: 0.048291 Loss_D_real: -0.041312 Loss_D_fake 0.012653
[67/5000][210/535][6559] Loss_D: -0.060138 Loss_G: 0.046543 Loss_D_real: -0.041566 Loss_D_fake 0.018572
[67/5000][215/535][6560] Loss_D: -0.057286 Loss_G: 0.011955 Loss_D_real: -0.016277 Loss_D_fake 0.041008
[67/5000][220/535][6561] Loss_D: -0.056232 Loss_G: 0.057998 Loss_D_real: -0.051846 Loss_D_fake 0.004386
[67/5000][225/535][6562] Loss_D: -0.057449 Loss_G: 0.015542 Loss_D_real: -0.019067 Loss_D_fake 0.038382
[67/5000][230/535][6563] Loss_D: -0.055955 Loss_G: 0.056531 Loss_D_real: -0.049510 Loss_D_fake 0.006445
[67/5000][235/535][6564] Loss_D: -0.057639 Loss_G: 0.006889 Loss_D_real: -0.018014 Loss_D_fake 0.039625
[67/5000][240/535][6565] Loss_D: -0.055008 Loss_G: 0.048320 Loss_D_real: -0.047333 Loss_D_fake 0.007675
[67/5000][245/535][6566] Loss_D: -0.059136 Loss_G: 0.029992 Loss_D_real: -0.034875 Loss_D_fake 0.024261
[67/5000][250/535][6567] Loss_D: -0.060474 Loss_G: 0.039392 Loss_D_real: -0.040558 Loss_D_fake 0.019916
[67/5000][255/535][6568] Loss_D: -0.057877 Loss_G: -0.001479 Loss_D_real: -0.011364 Loss_D_fake 0.046512
[67/5000][260/535][6569] Loss_D: -0.056160 Loss_G: 0.042536 Loss_D_real: -0.044242 Loss_D_fake 0.011918
[67/5000][265/535][6570] Loss_D: -0.057802 Loss_G: 0.017355 Loss_D_real: -0.025293 Loss_D_fake 0.032509
[67/5000][270/535][6571] Loss_D: -0.058940 Loss_G: 0.040184 Loss_D_real: -0.038794 Loss_D_fake 0.020146
[67/5000][275/535][6572] Loss_D: -0.057121 Loss_G: 0.000698 Loss_D_real: -0.008830 Loss_D_fake 0.048291
[67/5000][280/535][6573] Loss_D: -0.056545 Loss_G: 0.039505 Loss_D_real: -0.043938 Loss_D_fake 0.012606
[67/5000][285/535][6574] Loss_D: -0.056660 Loss_G: 0.044693 Loss_D_real: -0.042904 Loss_D_fake 0.013756
[67/5000][290/535][6575] Loss_D: -0.055010 Loss_G: -0.006138 Loss_D_real: -0.009116 Loss_D_fake 0.045894
[67/5000][295/535][6576] Loss_D: -0.052087 Loss_G: 0.052511 Loss_D_real: -0.048818 Loss_D_fake 0.003269
[67/5000][300/535][6577] Loss_D: -0.055107 Loss_G: 0.004052 Loss_D_real: -0.012486 Loss_D_fake 0.042622
[67/5000][305/535][6578] Loss_D: -0.053142 Loss_G: 0.048332 Loss_D_real: -0.046133 Loss_D_fake 0.007009
[67/5000][310/535][6579] Loss_D: -0.054166 Loss_G: 0.017983 Loss_D_real: -0.021663 Loss_D_fake 0.032503
[67/5000][315/535][6580] Loss_D: -0.057354 Loss_G: 0.044284 Loss_D_real: -0.042229 Loss_D_fake 0.015125
[67/5000][320/535][6581] Loss_D: -0.058720 Loss_G: 0.021515 Loss_D_real: -0.023039 Loss_D_fake 0.035681
[67/5000][325/535][6582] Loss_D: -0.059154 Loss_G: 0.042171 Loss_D_real: -0.043798 Loss_D_fake 0.015356
[67/5000][330/535][6583] Loss_D: -0.053607 Loss_G: 0.055758 Loss_D_real: -0.053346 Loss_D_fake 0.000262
[67/5000][335/535][6584] Loss_D: -0.055684 Loss_G: 0.026122 Loss_D_real: -0.030431 Loss_D_fake 0.025253
[67/5000][340/535][6585] Loss_D: -0.058704 Loss_G: 0.019565 Loss_D_real: -0.026878 Loss_D_fake 0.031826
[67/5000][345/535][6586] Loss_D: -0.055814 Loss_G: 0.051850 Loss_D_real: -0.046104 Loss_D_fake 0.009710
[67/5000][350/535][6587] Loss_D: -0.056106 Loss_G: 0.019882 Loss_D_real: -0.023459 Loss_D_fake 0.032647
[67/5000][355/535][6588] Loss_D: -0.054983 Loss_G: 0.052385 Loss_D_real: -0.048028 Loss_D_fake 0.006955
[67/5000][360/535][6589] Loss_D: -0.053080 Loss_G: 0.006302 Loss_D_real: -0.007848 Loss_D_fake 0.045233
[67/5000][365/535][6590] Loss_D: -0.057732 Loss_G: 0.044712 Loss_D_real: -0.042833 Loss_D_fake 0.014900
[67/5000][370/535][6591] Loss_D: -0.056354 Loss_G: 0.014737 Loss_D_real: -0.022896 Loss_D_fake 0.033458
[67/5000][375/535][6592] Loss_D: -0.056912 Loss_G: 0.047253 Loss_D_real: -0.045108 Loss_D_fake 0.011804
[67/5000][380/535][6593] Loss_D: -0.056970 Loss_G: 0.028060 Loss_D_real: -0.028789 Loss_D_fake 0.028182
[67/5000][385/535][6594] Loss_D: -0.055979 Loss_G: 0.043999 Loss_D_real: -0.039537 Loss_D_fake 0.016442
[67/5000][390/535][6595] Loss_D: -0.054620 Loss_G: 0.012881 Loss_D_real: -0.021500 Loss_D_fake 0.033120
[67/5000][395/535][6596] Loss_D: -0.054234 Loss_G: 0.043823 Loss_D_real: -0.046663 Loss_D_fake 0.007571
[67/5000][400/535][6597] Loss_D: -0.055997 Loss_G: 0.013206 Loss_D_real: -0.020345 Loss_D_fake 0.035651
[67/5000][405/535][6598] Loss_D: -0.057359 Loss_G: 0.024544 Loss_D_real: -0.033502 Loss_D_fake 0.023857
[67/5000][410/535][6599] Loss_D: -0.058704 Loss_G: 0.029920 Loss_D_real: -0.034379 Loss_D_fake 0.024325
[67/5000][415/535][6600] Loss_D: -0.057637 Loss_G: 0.051973 Loss_D_real: -0.046228 Loss_D_fake 0.011409
[67/5000][420/535][6601] Loss_D: -0.055295 Loss_G: 0.055041 Loss_D_real: -0.047633 Loss_D_fake 0.007662
[67/5000][425/535][6602] Loss_D: -0.056016 Loss_G: 0.002353 Loss_D_real: -0.013399 Loss_D_fake 0.042617
[67/5000][430/535][6603] Loss_D: -0.054715 Loss_G: 0.048387 Loss_D_real: -0.051134 Loss_D_fake 0.003581
[67/5000][435/535][6604] Loss_D: -0.056284 Loss_G: 0.025124 Loss_D_real: -0.032184 Loss_D_fake 0.024099
[67/5000][440/535][6605] Loss_D: -0.057270 Loss_G: 0.046755 Loss_D_real: -0.037442 Loss_D_fake 0.019828
[67/5000][445/535][6606] Loss_D: -0.056135 Loss_G: 0.014768 Loss_D_real: -0.022580 Loss_D_fake 0.033554
[67/5000][450/535][6607] Loss_D: -0.056353 Loss_G: 0.034683 Loss_D_real: -0.032565 Loss_D_fake 0.023788
[67/5000][455/535][6608] Loss_D: -0.054982 Loss_G: 0.048295 Loss_D_real: -0.044347 Loss_D_fake 0.010635
[67/5000][460/535][6609] Loss_D: -0.057699 Loss_G: 0.008033 Loss_D_real: -0.024401 Loss_D_fake 0.033298
[67/5000][465/535][6610] Loss_D: -0.054034 Loss_G: 0.051036 Loss_D_real: -0.050017 Loss_D_fake 0.004017
[67/5000][470/535][6611] Loss_D: -0.058988 Loss_G: 0.017168 Loss_D_real: -0.029768 Loss_D_fake 0.029220
[67/5000][475/535][6612] Loss_D: -0.056558 Loss_G: 0.040138 Loss_D_real: -0.047858 Loss_D_fake 0.008700
[67/5000][480/535][6613] Loss_D: -0.054438 Loss_G: 0.055845 Loss_D_real: -0.051174 Loss_D_fake 0.003263
[67/5000][485/535][6614] Loss_D: -0.054621 Loss_G: 0.005475 Loss_D_real: -0.014378 Loss_D_fake 0.040243
[67/5000][490/535][6615] Loss_D: -0.053809 Loss_G: 0.032961 Loss_D_real: -0.039515 Loss_D_fake 0.014294
[67/5000][495/535][6616] Loss_D: -0.056119 Loss_G: 0.025679 Loss_D_real: -0.031174 Loss_D_fake 0.024945
[67/5000][500/535][6617] Loss_D: -0.058745 Loss_G: 0.044414 Loss_D_real: -0.044650 Loss_D_fake 0.014094
[67/5000][505/535][6618] Loss_D: -0.055519 Loss_G: 0.032902 Loss_D_real: -0.034861 Loss_D_fake 0.020658
[67/5000][510/535][6619] Loss_D: -0.057936 Loss_G: 0.025683 Loss_D_real: -0.029301 Loss_D_fake 0.028635
[67/5000][515/535][6620] Loss_D: -0.057465 Loss_G: 0.028972 Loss_D_real: -0.030736 Loss_D_fake 0.026729
[67/5000][520/535][6621] Loss_D: -0.055272 Loss_G: 0.052160 Loss_D_real: -0.045633 Loss_D_fake 0.009639
[67/5000][525/535][6622] Loss_D: -0.056459 Loss_G: 0.007575 Loss_D_real: -0.018690 Loss_D_fake 0.037769
[67/5000][530/535][6623] Loss_D: -0.053799 Loss_G: 0.046263 Loss_D_real: -0.048152 Loss_D_fake 0.005646
[67/5000][535/535][6624] Loss_D: -0.056622 Loss_G: 0.010913 Loss_D_real: -0.019605 Loss_D_fake 0.037018
[68/5000][5/535][6625] Loss_D: -0.054438 Loss_G: 0.048452 Loss_D_real: -0.050538 Loss_D_fake 0.003900
[68/5000][10/535][6626] Loss_D: -0.054186 Loss_G: 0.014084 Loss_D_real: -0.019511 Loss_D_fake 0.034675
[68/5000][15/535][6627] Loss_D: -0.056428 Loss_G: 0.042448 Loss_D_real: -0.042923 Loss_D_fake 0.013504
[68/5000][20/535][6628] Loss_D: -0.056716 Loss_G: 0.029018 Loss_D_real: -0.031758 Loss_D_fake 0.024959
[68/5000][25/535][6629] Loss_D: -0.056787 Loss_G: 0.012287 Loss_D_real: -0.021118 Loss_D_fake 0.035670
[68/5000][30/535][6630] Loss_D: -0.054516 Loss_G: 0.057904 Loss_D_real: -0.051168 Loss_D_fake 0.003348
[68/5000][35/535][6631] Loss_D: -0.055210 Loss_G: 0.008514 Loss_D_real: -0.014285 Loss_D_fake 0.040924
[68/5000][40/535][6632] Loss_D: -0.052812 Loss_G: 0.033400 Loss_D_real: -0.041559 Loss_D_fake 0.011253
[68/5000][45/535][6633] Loss_D: -0.057901 Loss_G: 0.036162 Loss_D_real: -0.037474 Loss_D_fake 0.020427
[68/5000][50/535][6634] Loss_D: -0.055928 Loss_G: 0.036080 Loss_D_real: -0.034622 Loss_D_fake 0.021305
[68/5000][55/535][6635] Loss_D: -0.056796 Loss_G: 0.033569 Loss_D_real: -0.034240 Loss_D_fake 0.022556
[68/5000][60/535][6636] Loss_D: -0.056523 Loss_G: 0.037806 Loss_D_real: -0.037325 Loss_D_fake 0.019198
[68/5000][65/535][6637] Loss_D: -0.059174 Loss_G: 0.038582 Loss_D_real: -0.038881 Loss_D_fake 0.020293
[68/5000][70/535][6638] Loss_D: -0.054971 Loss_G: 0.050027 Loss_D_real: -0.040929 Loss_D_fake 0.014042
[68/5000][75/535][6639] Loss_D: -0.056744 Loss_G: 0.007953 Loss_D_real: -0.021188 Loss_D_fake 0.035557
[68/5000][80/535][6640] Loss_D: -0.056321 Loss_G: 0.050193 Loss_D_real: -0.050608 Loss_D_fake 0.005713
[68/5000][85/535][6641] Loss_D: -0.056436 Loss_G: 0.010113 Loss_D_real: -0.019174 Loss_D_fake 0.037261
[68/5000][90/535][6642] Loss_D: -0.052644 Loss_G: 0.036378 Loss_D_real: -0.036813 Loss_D_fake 0.015832
[68/5000][95/535][6643] Loss_D: -0.056461 Loss_G: 0.010502 Loss_D_real: -0.021024 Loss_D_fake 0.035437
[68/5000][100/535][6644] Loss_D: -0.059319 Loss_G: 0.049965 Loss_D_real: -0.046104 Loss_D_fake 0.013215
[68/5000][105/535][6645] Loss_D: -0.059986 Loss_G: 0.022031 Loss_D_real: -0.024804 Loss_D_fake 0.035182
[68/5000][110/535][6646] Loss_D: -0.063031 Loss_G: 0.051535 Loss_D_real: -0.047496 Loss_D_fake 0.015535
[68/5000][115/535][6647] Loss_D: -0.058024 Loss_G: 0.027060 Loss_D_real: -0.030155 Loss_D_fake 0.027869
[68/5000][120/535][6648] Loss_D: -0.059980 Loss_G: 0.039635 Loss_D_real: -0.039303 Loss_D_fake 0.020676
[68/5000][125/535][6649] Loss_D: -0.057415 Loss_G: 0.035567 Loss_D_real: -0.036951 Loss_D_fake 0.020464
[68/5000][130/535][6650] Loss_D: -0.059270 Loss_G: 0.026188 Loss_D_real: -0.028402 Loss_D_fake 0.030868
[68/5000][135/535][6651] Loss_D: -0.058013 Loss_G: 0.015475 Loss_D_real: -0.024833 Loss_D_fake 0.033180
[68/5000][140/535][6652] Loss_D: -0.059472 Loss_G: 0.042257 Loss_D_real: -0.042632 Loss_D_fake 0.016840
[68/5000][145/535][6653] Loss_D: -0.054061 Loss_G: 0.001298 Loss_D_real: -0.013011 Loss_D_fake 0.041050
[68/5000][150/535][6654] Loss_D: -0.055402 Loss_G: 0.039252 Loss_D_real: -0.041777 Loss_D_fake 0.013625
[68/5000][155/535][6655] Loss_D: -0.054761 Loss_G: 0.003960 Loss_D_real: -0.015985 Loss_D_fake 0.038775
[68/5000][160/535][6656] Loss_D: -0.056601 Loss_G: 0.031017 Loss_D_real: -0.036806 Loss_D_fake 0.019795
[68/5000][165/535][6657] Loss_D: -0.054276 Loss_G: 0.053561 Loss_D_real: -0.048502 Loss_D_fake 0.005773
[68/5000][170/535][6658] Loss_D: -0.056036 Loss_G: 0.019321 Loss_D_real: -0.024329 Loss_D_fake 0.031707
[68/5000][175/535][6659] Loss_D: -0.054679 Loss_G: 0.026515 Loss_D_real: -0.032283 Loss_D_fake 0.022396
[68/5000][180/535][6660] Loss_D: -0.057878 Loss_G: 0.035071 Loss_D_real: -0.039759 Loss_D_fake 0.018119
[68/5000][185/535][6661] Loss_D: -0.057462 Loss_G: 0.035032 Loss_D_real: -0.032804 Loss_D_fake 0.024658
[68/5000][190/535][6662] Loss_D: -0.058551 Loss_G: 0.020955 Loss_D_real: -0.026338 Loss_D_fake 0.032212
[68/5000][195/535][6663] Loss_D: -0.053270 Loss_G: 0.063828 Loss_D_real: -0.057711 Loss_D_fake -0.004440
[68/5000][200/535][6664] Loss_D: -0.052508 Loss_G: 0.001223 Loss_D_real: -0.007369 Loss_D_fake 0.045139
[68/5000][205/535][6665] Loss_D: -0.053252 Loss_G: 0.041265 Loss_D_real: -0.046514 Loss_D_fake 0.006738
[68/5000][210/535][6666] Loss_D: -0.054865 Loss_G: 0.043160 Loss_D_real: -0.042809 Loss_D_fake 0.012056
[68/5000][215/535][6667] Loss_D: -0.056889 Loss_G: 0.015553 Loss_D_real: -0.022252 Loss_D_fake 0.034636
[68/5000][220/535][6668] Loss_D: -0.058242 Loss_G: 0.020234 Loss_D_real: -0.025905 Loss_D_fake 0.032337
[68/5000][225/535][6669] Loss_D: -0.055946 Loss_G: 0.048803 Loss_D_real: -0.048431 Loss_D_fake 0.007515
[68/5000][230/535][6670] Loss_D: -0.057597 Loss_G: 0.039149 Loss_D_real: -0.036138 Loss_D_fake 0.021459
[68/5000][235/535][6671] Loss_D: -0.058079 Loss_G: 0.042993 Loss_D_real: -0.039167 Loss_D_fake 0.018912
[68/5000][240/535][6672] Loss_D: -0.056524 Loss_G: 0.008908 Loss_D_real: -0.019180 Loss_D_fake 0.037344
[68/5000][245/535][6673] Loss_D: -0.053798 Loss_G: 0.047611 Loss_D_real: -0.049156 Loss_D_fake 0.004643
[68/5000][250/535][6674] Loss_D: -0.059154 Loss_G: 0.031926 Loss_D_real: -0.034575 Loss_D_fake 0.024579
[68/5000][255/535][6675] Loss_D: -0.056988 Loss_G: 0.038169 Loss_D_real: -0.037251 Loss_D_fake 0.019737
[68/5000][260/535][6676] Loss_D: -0.059633 Loss_G: 0.041716 Loss_D_real: -0.040305 Loss_D_fake 0.019328
[68/5000][265/535][6677] Loss_D: -0.055426 Loss_G: 0.024243 Loss_D_real: -0.024946 Loss_D_fake 0.030479
[68/5000][270/535][6678] Loss_D: -0.053455 Loss_G: 0.060983 Loss_D_real: -0.053254 Loss_D_fake 0.000201
[68/5000][275/535][6679] Loss_D: -0.053742 Loss_G: 0.014510 Loss_D_real: -0.015863 Loss_D_fake 0.037879
[68/5000][280/535][6680] Loss_D: -0.055437 Loss_G: 0.046706 Loss_D_real: -0.047526 Loss_D_fake 0.007911
[68/5000][285/535][6681] Loss_D: -0.054737 Loss_G: 0.011676 Loss_D_real: -0.016333 Loss_D_fake 0.038404
[68/5000][290/535][6682] Loss_D: -0.056684 Loss_G: 0.023800 Loss_D_real: -0.028340 Loss_D_fake 0.028344
[68/5000][295/535][6683] Loss_D: -0.055580 Loss_G: 0.021542 Loss_D_real: -0.030684 Loss_D_fake 0.024895
[68/5000][300/535][6684] Loss_D: -0.055575 Loss_G: 0.045951 Loss_D_real: -0.045017 Loss_D_fake 0.010558
[68/5000][305/535][6685] Loss_D: -0.056824 Loss_G: 0.016600 Loss_D_real: -0.023861 Loss_D_fake 0.032963
[68/5000][310/535][6686] Loss_D: -0.053668 Loss_G: 0.048705 Loss_D_real: -0.043680 Loss_D_fake 0.009988
[68/5000][315/535][6687] Loss_D: -0.055849 Loss_G: 0.014771 Loss_D_real: -0.019287 Loss_D_fake 0.036562
[68/5000][320/535][6688] Loss_D: -0.057326 Loss_G: 0.019791 Loss_D_real: -0.025795 Loss_D_fake 0.031531
[68/5000][325/535][6689] Loss_D: -0.057359 Loss_G: 0.043082 Loss_D_real: -0.043939 Loss_D_fake 0.013420
[68/5000][330/535][6690] Loss_D: -0.054988 Loss_G: 0.007578 Loss_D_real: -0.013930 Loss_D_fake 0.041058
[68/5000][335/535][6691] Loss_D: -0.054460 Loss_G: 0.042803 Loss_D_real: -0.040305 Loss_D_fake 0.014155
[68/5000][340/535][6692] Loss_D: -0.055039 Loss_G: 0.020091 Loss_D_real: -0.025778 Loss_D_fake 0.029261
[68/5000][345/535][6693] Loss_D: -0.053456 Loss_G: 0.046819 Loss_D_real: -0.043178 Loss_D_fake 0.010278
[68/5000][350/535][6694] Loss_D: -0.057609 Loss_G: 0.035220 Loss_D_real: -0.033576 Loss_D_fake 0.024033
[68/5000][355/535][6695] Loss_D: -0.056154 Loss_G: 0.034240 Loss_D_real: -0.031496 Loss_D_fake 0.024658
[68/5000][360/535][6696] Loss_D: -0.056645 Loss_G: 0.048269 Loss_D_real: -0.039489 Loss_D_fake 0.017155
[68/5000][365/535][6697] Loss_D: -0.052504 Loss_G: -0.000763 Loss_D_real: -0.008200 Loss_D_fake 0.044304
[68/5000][370/535][6698] Loss_D: -0.053603 Loss_G: 0.050557 Loss_D_real: -0.050628 Loss_D_fake 0.002975
[68/5000][375/535][6699] Loss_D: -0.056529 Loss_G: 0.014341 Loss_D_real: -0.023097 Loss_D_fake 0.033432
[68/5000][380/535][6700] Loss_D: -0.056481 Loss_G: 0.042755 Loss_D_real: -0.040485 Loss_D_fake 0.015996
[68/5000][385/535][6701] Loss_D: -0.054821 Loss_G: 0.045434 Loss_D_real: -0.039651 Loss_D_fake 0.015169
[68/5000][390/535][6702] Loss_D: -0.058576 Loss_G: 0.034754 Loss_D_real: -0.035742 Loss_D_fake 0.022834
[68/5000][395/535][6703] Loss_D: -0.056870 Loss_G: 0.020331 Loss_D_real: -0.025634 Loss_D_fake 0.031237
[68/5000][400/535][6704] Loss_D: -0.056373 Loss_G: 0.047322 Loss_D_real: -0.040909 Loss_D_fake 0.015464
[68/5000][405/535][6705] Loss_D: -0.053443 Loss_G: -0.000052 Loss_D_real: -0.014687 Loss_D_fake 0.038756
[68/5000][410/535][6706] Loss_D: -0.056300 Loss_G: 0.023535 Loss_D_real: -0.031770 Loss_D_fake 0.024530
[68/5000][415/535][6707] Loss_D: -0.056863 Loss_G: 0.041050 Loss_D_real: -0.040262 Loss_D_fake 0.016602
[68/5000][420/535][6708] Loss_D: -0.057043 Loss_G: 0.039901 Loss_D_real: -0.038124 Loss_D_fake 0.018919
[68/5000][425/535][6709] Loss_D: -0.052883 Loss_G: 0.026453 Loss_D_real: -0.029922 Loss_D_fake 0.022961
[68/5000][430/535][6710] Loss_D: -0.055311 Loss_G: 0.055694 Loss_D_real: -0.049984 Loss_D_fake 0.005327
[68/5000][435/535][6711] Loss_D: -0.050648 Loss_G: -0.008024 Loss_D_real: -0.004724 Loss_D_fake 0.045924
[68/5000][440/535][6712] Loss_D: -0.050336 Loss_G: 0.043897 Loss_D_real: -0.044330 Loss_D_fake 0.006006
[68/5000][445/535][6713] Loss_D: -0.051293 Loss_G: 0.007504 Loss_D_real: -0.006276 Loss_D_fake 0.045017
[68/5000][450/535][6714] Loss_D: -0.051112 Loss_G: 0.030589 Loss_D_real: -0.033099 Loss_D_fake 0.018013
[68/5000][455/535][6715] Loss_D: -0.055212 Loss_G: 0.029683 Loss_D_real: -0.031606 Loss_D_fake 0.023605
[68/5000][460/535][6716] Loss_D: -0.054708 Loss_G: 0.047544 Loss_D_real: -0.046049 Loss_D_fake 0.008659
[68/5000][465/535][6717] Loss_D: -0.055370 Loss_G: 0.016633 Loss_D_real: -0.022328 Loss_D_fake 0.033042
[68/5000][470/535][6718] Loss_D: -0.057825 Loss_G: 0.038581 Loss_D_real: -0.041879 Loss_D_fake 0.015947
[68/5000][475/535][6719] Loss_D: -0.057651 Loss_G: 0.023505 Loss_D_real: -0.024638 Loss_D_fake 0.033013
[68/5000][480/535][6720] Loss_D: -0.058696 Loss_G: 0.048484 Loss_D_real: -0.041850 Loss_D_fake 0.016846
[68/5000][485/535][6721] Loss_D: -0.057196 Loss_G: 0.000254 Loss_D_real: -0.015953 Loss_D_fake 0.041243
[68/5000][490/535][6722] Loss_D: -0.055316 Loss_G: 0.049001 Loss_D_real: -0.049721 Loss_D_fake 0.005595
[68/5000][495/535][6723] Loss_D: -0.057134 Loss_G: 0.032635 Loss_D_real: -0.034112 Loss_D_fake 0.023022
[68/5000][500/535][6724] Loss_D: -0.056225 Loss_G: 0.034703 Loss_D_real: -0.035024 Loss_D_fake 0.021201
[68/5000][505/535][6725] Loss_D: -0.056023 Loss_G: 0.018112 Loss_D_real: -0.024328 Loss_D_fake 0.031695
[68/5000][510/535][6726] Loss_D: -0.056056 Loss_G: 0.037952 Loss_D_real: -0.042699 Loss_D_fake 0.013357
[68/5000][515/535][6727] Loss_D: -0.056029 Loss_G: 0.013334 Loss_D_real: -0.022232 Loss_D_fake 0.033797
[68/5000][520/535][6728] Loss_D: -0.058763 Loss_G: 0.036011 Loss_D_real: -0.041635 Loss_D_fake 0.017128
[68/5000][525/535][6729] Loss_D: -0.056528 Loss_G: 0.023506 Loss_D_real: -0.026636 Loss_D_fake 0.029892
[68/5000][530/535][6730] Loss_D: -0.057093 Loss_G: 0.040465 Loss_D_real: -0.040775 Loss_D_fake 0.016318
[68/5000][535/535][6731] Loss_D: -0.057052 Loss_G: -0.001909 Loss_D_real: -0.018376 Loss_D_fake 0.038676
[69/5000][5/535][6732] Loss_D: -0.053627 Loss_G: 0.044357 Loss_D_real: -0.046584 Loss_D_fake 0.007044
[69/5000][10/535][6733] Loss_D: -0.054059 Loss_G: 0.005236 Loss_D_real: -0.013500 Loss_D_fake 0.040559
[69/5000][15/535][6734] Loss_D: -0.054080 Loss_G: 0.029877 Loss_D_real: -0.032849 Loss_D_fake 0.021231
[69/5000][20/535][6735] Loss_D: -0.054124 Loss_G: 0.024979 Loss_D_real: -0.032113 Loss_D_fake 0.022011
[69/5000][25/535][6736] Loss_D: -0.050376 Loss_G: 0.048388 Loss_D_real: -0.053323 Loss_D_fake -0.002947
[69/5000][30/535][6737] Loss_D: -0.053030 Loss_G: 0.018647 Loss_D_real: -0.018527 Loss_D_fake 0.034504
[69/5000][35/535][6738] Loss_D: -0.054441 Loss_G: 0.014934 Loss_D_real: -0.023871 Loss_D_fake 0.030570
[69/5000][40/535][6739] Loss_D: -0.053206 Loss_G: 0.036980 Loss_D_real: -0.039585 Loss_D_fake 0.013622
[69/5000][45/535][6740] Loss_D: -0.057357 Loss_G: 0.034184 Loss_D_real: -0.029989 Loss_D_fake 0.027368
[69/5000][50/535][6741] Loss_D: -0.060386 Loss_G: 0.033926 Loss_D_real: -0.035542 Loss_D_fake 0.024844
[69/5000][55/535][6742] Loss_D: -0.055359 Loss_G: 0.062057 Loss_D_real: -0.053338 Loss_D_fake 0.002022
[69/5000][60/535][6743] Loss_D: -0.056473 Loss_G: 0.000508 Loss_D_real: -0.013670 Loss_D_fake 0.042802
[69/5000][65/535][6744] Loss_D: -0.052821 Loss_G: 0.055399 Loss_D_real: -0.053324 Loss_D_fake -0.000503
[69/5000][70/535][6745] Loss_D: -0.055690 Loss_G: 0.004806 Loss_D_real: -0.017800 Loss_D_fake 0.037890
[69/5000][75/535][6746] Loss_D: -0.057602 Loss_G: 0.056166 Loss_D_real: -0.047971 Loss_D_fake 0.009631
[69/5000][80/535][6747] Loss_D: -0.057312 Loss_G: 0.037176 Loss_D_real: -0.039463 Loss_D_fake 0.017849
[69/5000][85/535][6748] Loss_D: -0.059308 Loss_G: 0.052557 Loss_D_real: -0.045087 Loss_D_fake 0.014221
[69/5000][90/535][6749] Loss_D: -0.057919 Loss_G: 0.010866 Loss_D_real: -0.020374 Loss_D_fake 0.037545
[69/5000][95/535][6750] Loss_D: -0.055854 Loss_G: 0.044552 Loss_D_real: -0.044727 Loss_D_fake 0.011127
[69/5000][100/535][6751] Loss_D: -0.057235 Loss_G: -0.003960 Loss_D_real: -0.012501 Loss_D_fake 0.044734
[69/5000][105/535][6752] Loss_D: -0.054265 Loss_G: 0.047948 Loss_D_real: -0.051998 Loss_D_fake 0.002267
[69/5000][110/535][6753] Loss_D: -0.056322 Loss_G: 0.013384 Loss_D_real: -0.022137 Loss_D_fake 0.034184
[69/5000][115/535][6754] Loss_D: -0.057839 Loss_G: 0.040661 Loss_D_real: -0.039929 Loss_D_fake 0.017909
[69/5000][120/535][6755] Loss_D: -0.057552 Loss_G: 0.037342 Loss_D_real: -0.035388 Loss_D_fake 0.022165
[69/5000][125/535][6756] Loss_D: -0.056099 Loss_G: 0.030133 Loss_D_real: -0.029981 Loss_D_fake 0.026118
[69/5000][130/535][6757] Loss_D: -0.057121 Loss_G: 0.049553 Loss_D_real: -0.042296 Loss_D_fake 0.014825
[69/5000][135/535][6758] Loss_D: -0.054721 Loss_G: 0.011638 Loss_D_real: -0.011095 Loss_D_fake 0.043627
[69/5000][140/535][6759] Loss_D: -0.057107 Loss_G: 0.047989 Loss_D_real: -0.043684 Loss_D_fake 0.013423
[69/5000][145/535][6760] Loss_D: -0.057962 Loss_G: 0.028741 Loss_D_real: -0.027268 Loss_D_fake 0.030695
[69/5000][150/535][6761] Loss_D: -0.058945 Loss_G: 0.019815 Loss_D_real: -0.026256 Loss_D_fake 0.032689
[69/5000][155/535][6762] Loss_D: -0.057971 Loss_G: 0.051076 Loss_D_real: -0.046100 Loss_D_fake 0.011872
[69/5000][160/535][6763] Loss_D: -0.056620 Loss_G: 0.008279 Loss_D_real: -0.023000 Loss_D_fake 0.033620
[69/5000][165/535][6764] Loss_D: -0.055331 Loss_G: 0.040249 Loss_D_real: -0.043107 Loss_D_fake 0.012224
[69/5000][170/535][6765] Loss_D: -0.056482 Loss_G: 0.004205 Loss_D_real: -0.014742 Loss_D_fake 0.041740
[69/5000][175/535][6766] Loss_D: -0.055239 Loss_G: 0.043509 Loss_D_real: -0.045895 Loss_D_fake 0.009344
[69/5000][180/535][6767] Loss_D: -0.054142 Loss_G: 0.011352 Loss_D_real: -0.018015 Loss_D_fake 0.036127
[69/5000][185/535][6768] Loss_D: -0.054849 Loss_G: 0.034517 Loss_D_real: -0.035625 Loss_D_fake 0.019223
[69/5000][190/535][6769] Loss_D: -0.057083 Loss_G: 0.029121 Loss_D_real: -0.032769 Loss_D_fake 0.024314
[69/5000][195/535][6770] Loss_D: -0.056700 Loss_G: 0.048182 Loss_D_real: -0.040958 Loss_D_fake 0.015742
[69/5000][200/535][6771] Loss_D: -0.054142 Loss_G: 0.052681 Loss_D_real: -0.041176 Loss_D_fake 0.012966
[69/5000][205/535][6772] Loss_D: -0.052881 Loss_G: 0.008403 Loss_D_real: -0.008396 Loss_D_fake 0.044485
[69/5000][210/535][6773] Loss_D: -0.051894 Loss_G: 0.050344 Loss_D_real: -0.048345 Loss_D_fake 0.003550
[69/5000][215/535][6774] Loss_D: -0.056249 Loss_G: 0.004823 Loss_D_real: -0.013709 Loss_D_fake 0.042540
[69/5000][220/535][6775] Loss_D: -0.053696 Loss_G: 0.045624 Loss_D_real: -0.045496 Loss_D_fake 0.008200
[69/5000][225/535][6776] Loss_D: -0.054236 Loss_G: 0.049246 Loss_D_real: -0.043745 Loss_D_fake 0.010491
[69/5000][230/535][6777] Loss_D: -0.055938 Loss_G: 0.032759 Loss_D_real: -0.031862 Loss_D_fake 0.024076
[69/5000][235/535][6778] Loss_D: -0.056043 Loss_G: 0.040445 Loss_D_real: -0.040152 Loss_D_fake 0.015891
[69/5000][240/535][6779] Loss_D: -0.054004 Loss_G: 0.054649 Loss_D_real: -0.047393 Loss_D_fake 0.006612
[69/5000][245/535][6780] Loss_D: -0.055284 Loss_G: 0.013788 Loss_D_real: -0.013758 Loss_D_fake 0.041525
[69/5000][250/535][6781] Loss_D: -0.055556 Loss_G: 0.047903 Loss_D_real: -0.048688 Loss_D_fake 0.006868
[69/5000][255/535][6782] Loss_D: -0.055727 Loss_G: 0.023604 Loss_D_real: -0.025781 Loss_D_fake 0.029946
[69/5000][260/535][6783] Loss_D: -0.056212 Loss_G: 0.038793 Loss_D_real: -0.037811 Loss_D_fake 0.018401
[69/5000][265/535][6784] Loss_D: -0.058919 Loss_G: 0.024402 Loss_D_real: -0.029712 Loss_D_fake 0.029207
[69/5000][270/535][6785] Loss_D: -0.056654 Loss_G: 0.042947 Loss_D_real: -0.045247 Loss_D_fake 0.011407
[69/5000][275/535][6786] Loss_D: -0.056052 Loss_G: 0.015178 Loss_D_real: -0.021666 Loss_D_fake 0.034386
[69/5000][280/535][6787] Loss_D: -0.054962 Loss_G: 0.028022 Loss_D_real: -0.034149 Loss_D_fake 0.020813
[69/5000][285/535][6788] Loss_D: -0.056686 Loss_G: 0.048936 Loss_D_real: -0.042733 Loss_D_fake 0.013953
[69/5000][290/535][6789] Loss_D: -0.054828 Loss_G: 0.010619 Loss_D_real: -0.017307 Loss_D_fake 0.037520
[69/5000][295/535][6790] Loss_D: -0.056787 Loss_G: 0.022455 Loss_D_real: -0.030694 Loss_D_fake 0.026093
[69/5000][300/535][6791] Loss_D: -0.054700 Loss_G: 0.019517 Loss_D_real: -0.027129 Loss_D_fake 0.027571
[69/5000][305/535][6792] Loss_D: -0.053040 Loss_G: 0.054322 Loss_D_real: -0.056203 Loss_D_fake -0.003163
[69/5000][310/535][6793] Loss_D: -0.054584 Loss_G: -0.001335 Loss_D_real: -0.011801 Loss_D_fake 0.042783
[69/5000][315/535][6794] Loss_D: -0.052553 Loss_G: 0.045526 Loss_D_real: -0.044202 Loss_D_fake 0.008352
[69/5000][320/535][6795] Loss_D: -0.054333 Loss_G: 0.021826 Loss_D_real: -0.024098 Loss_D_fake 0.030235
[69/5000][325/535][6796] Loss_D: -0.056772 Loss_G: 0.047303 Loss_D_real: -0.042640 Loss_D_fake 0.014132
[69/5000][330/535][6797] Loss_D: -0.054698 Loss_G: 0.009958 Loss_D_real: -0.017827 Loss_D_fake 0.036871
[69/5000][335/535][6798] Loss_D: -0.054435 Loss_G: 0.047938 Loss_D_real: -0.047636 Loss_D_fake 0.006799
[69/5000][340/535][6799] Loss_D: -0.054655 Loss_G: 0.000321 Loss_D_real: -0.019235 Loss_D_fake 0.035420
[69/5000][345/535][6800] Loss_D: -0.052478 Loss_G: 0.045770 Loss_D_real: -0.039021 Loss_D_fake 0.013457
[69/5000][350/535][6801] Loss_D: -0.054260 Loss_G: 0.027776 Loss_D_real: -0.031105 Loss_D_fake 0.023155
[69/5000][355/535][6802] Loss_D: -0.056558 Loss_G: 0.032260 Loss_D_real: -0.034907 Loss_D_fake 0.021650
[69/5000][360/535][6803] Loss_D: -0.056569 Loss_G: 0.030616 Loss_D_real: -0.033485 Loss_D_fake 0.023085
[69/5000][365/535][6804] Loss_D: -0.056173 Loss_G: 0.044619 Loss_D_real: -0.039492 Loss_D_fake 0.016681
[69/5000][370/535][6805] Loss_D: -0.053532 Loss_G: -0.007272 Loss_D_real: -0.007565 Loss_D_fake 0.045967
[69/5000][375/535][6806] Loss_D: -0.051018 Loss_G: 0.042535 Loss_D_real: -0.046754 Loss_D_fake 0.004264
[69/5000][380/535][6807] Loss_D: -0.053826 Loss_G: 0.003816 Loss_D_real: -0.017268 Loss_D_fake 0.036557
[69/5000][385/535][6808] Loss_D: -0.054773 Loss_G: 0.031627 Loss_D_real: -0.033651 Loss_D_fake 0.021121
[69/5000][390/535][6809] Loss_D: -0.051866 Loss_G: 0.011755 Loss_D_real: -0.020550 Loss_D_fake 0.031315
[69/5000][395/535][6810] Loss_D: -0.054086 Loss_G: 0.045025 Loss_D_real: -0.044797 Loss_D_fake 0.009289
[69/5000][400/535][6811] Loss_D: -0.056051 Loss_G: 0.035245 Loss_D_real: -0.034042 Loss_D_fake 0.022009
[69/5000][405/535][6812] Loss_D: -0.053824 Loss_G: 0.013319 Loss_D_real: -0.023654 Loss_D_fake 0.030170
[69/5000][410/535][6813] Loss_D: -0.054543 Loss_G: 0.060618 Loss_D_real: -0.054557 Loss_D_fake -0.000014
[69/5000][415/535][6814] Loss_D: -0.054211 Loss_G: 0.019211 Loss_D_real: -0.023239 Loss_D_fake 0.030972
[69/5000][420/535][6815] Loss_D: -0.054843 Loss_G: 0.047363 Loss_D_real: -0.047387 Loss_D_fake 0.007456
[69/5000][425/535][6816] Loss_D: -0.058634 Loss_G: 0.024858 Loss_D_real: -0.025862 Loss_D_fake 0.032772
[69/5000][430/535][6817] Loss_D: -0.053428 Loss_G: 0.051589 Loss_D_real: -0.042546 Loss_D_fake 0.010881
[69/5000][435/535][6818] Loss_D: -0.052015 Loss_G: 0.002958 Loss_D_real: -0.012303 Loss_D_fake 0.039712
[69/5000][440/535][6819] Loss_D: -0.054548 Loss_G: 0.044687 Loss_D_real: -0.044896 Loss_D_fake 0.009652
[69/5000][445/535][6820] Loss_D: -0.054959 Loss_G: 0.029964 Loss_D_real: -0.031359 Loss_D_fake 0.023600
[69/5000][450/535][6821] Loss_D: -0.056860 Loss_G: 0.036020 Loss_D_real: -0.036649 Loss_D_fake 0.020210
[69/5000][455/535][6822] Loss_D: -0.059272 Loss_G: 0.025771 Loss_D_real: -0.033002 Loss_D_fake 0.026270
[69/5000][460/535][6823] Loss_D: -0.057501 Loss_G: 0.048417 Loss_D_real: -0.052527 Loss_D_fake 0.004974
[69/5000][465/535][6824] Loss_D: -0.056621 Loss_G: 0.011884 Loss_D_real: -0.020736 Loss_D_fake 0.035885
[69/5000][470/535][6825] Loss_D: -0.057635 Loss_G: 0.025241 Loss_D_real: -0.036077 Loss_D_fake 0.021558
[69/5000][475/535][6826] Loss_D: -0.058849 Loss_G: 0.023340 Loss_D_real: -0.027947 Loss_D_fake 0.030902
[69/5000][480/535][6827] Loss_D: -0.056595 Loss_G: 0.045962 Loss_D_real: -0.046663 Loss_D_fake 0.009932
[69/5000][485/535][6828] Loss_D: -0.057252 Loss_G: 0.010204 Loss_D_real: -0.021053 Loss_D_fake 0.036199
[69/5000][490/535][6829] Loss_D: -0.056186 Loss_G: 0.030649 Loss_D_real: -0.040221 Loss_D_fake 0.015965
[69/5000][495/535][6830] Loss_D: -0.055291 Loss_G: 0.009435 Loss_D_real: -0.017397 Loss_D_fake 0.037895
[69/5000][500/535][6831] Loss_D: -0.055704 Loss_G: 0.045948 Loss_D_real: -0.043021 Loss_D_fake 0.012683
[69/5000][505/535][6832] Loss_D: -0.057059 Loss_G: 0.035847 Loss_D_real: -0.034342 Loss_D_fake 0.022717
[69/5000][510/535][6833] Loss_D: -0.058518 Loss_G: 0.008985 Loss_D_real: -0.020229 Loss_D_fake 0.038289
[69/5000][515/535][6834] Loss_D: -0.053979 Loss_G: 0.057672 Loss_D_real: -0.060434 Loss_D_fake -0.006455
[69/5000][520/535][6835] Loss_D: -0.055876 Loss_G: 0.015839 Loss_D_real: -0.022991 Loss_D_fake 0.032885
[69/5000][525/535][6836] Loss_D: -0.054988 Loss_G: 0.056738 Loss_D_real: -0.052201 Loss_D_fake 0.002787
[69/5000][530/535][6837] Loss_D: -0.055927 Loss_G: 0.026852 Loss_D_real: -0.029114 Loss_D_fake 0.026813
[69/5000][535/535][6838] Loss_D: -0.060571 Loss_G: 0.020865 Loss_D_real: -0.031263 Loss_D_fake 0.029308
[70/5000][5/535][6839] Loss_D: -0.057870 Loss_G: 0.032271 Loss_D_real: -0.035708 Loss_D_fake 0.022162
[70/5000][10/535][6840] Loss_D: -0.055777 Loss_G: 0.007935 Loss_D_real: -0.015377 Loss_D_fake 0.040399
[70/5000][15/535][6841] Loss_D: -0.057441 Loss_G: 0.039977 Loss_D_real: -0.039272 Loss_D_fake 0.018169
[70/5000][20/535][6842] Loss_D: -0.058799 Loss_G: 0.020703 Loss_D_real: -0.026898 Loss_D_fake 0.031902
[70/5000][25/535][6843] Loss_D: -0.058829 Loss_G: 0.048589 Loss_D_real: -0.043073 Loss_D_fake 0.015756
[70/5000][30/535][6844] Loss_D: -0.059379 Loss_G: 0.022577 Loss_D_real: -0.028728 Loss_D_fake 0.030651
[70/5000][35/535][6845] Loss_D: -0.054363 Loss_G: 0.049526 Loss_D_real: -0.048552 Loss_D_fake 0.005811
[70/5000][40/535][6846] Loss_D: -0.056062 Loss_G: 0.019426 Loss_D_real: -0.025171 Loss_D_fake 0.030891
[70/5000][45/535][6847] Loss_D: -0.057805 Loss_G: 0.041022 Loss_D_real: -0.037411 Loss_D_fake 0.020394
[70/5000][50/535][6848] Loss_D: -0.055567 Loss_G: -0.003836 Loss_D_real: -0.012311 Loss_D_fake 0.043256
[70/5000][55/535][6849] Loss_D: -0.053510 Loss_G: 0.045629 Loss_D_real: -0.050198 Loss_D_fake 0.003312
[70/5000][60/535][6850] Loss_D: -0.054352 Loss_G: -0.005077 Loss_D_real: -0.005720 Loss_D_fake 0.048631
[70/5000][65/535][6851] Loss_D: -0.053699 Loss_G: 0.045428 Loss_D_real: -0.040766 Loss_D_fake 0.012933
[70/5000][70/535][6852] Loss_D: -0.054795 Loss_G: 0.028237 Loss_D_real: -0.032679 Loss_D_fake 0.022116
[70/5000][75/535][6853] Loss_D: -0.056642 Loss_G: 0.049654 Loss_D_real: -0.047598 Loss_D_fake 0.009044
[70/5000][80/535][6854] Loss_D: -0.056313 Loss_G: 0.044398 Loss_D_real: -0.039712 Loss_D_fake 0.016602
[70/5000][85/535][6855] Loss_D: -0.056178 Loss_G: 0.020839 Loss_D_real: -0.025097 Loss_D_fake 0.031081
[70/5000][90/535][6856] Loss_D: -0.057594 Loss_G: 0.045933 Loss_D_real: -0.043890 Loss_D_fake 0.013703
[70/5000][95/535][6857] Loss_D: -0.054550 Loss_G: 0.000741 Loss_D_real: -0.009475 Loss_D_fake 0.045075
[70/5000][100/535][6858] Loss_D: -0.053479 Loss_G: 0.038729 Loss_D_real: -0.043864 Loss_D_fake 0.009615
[70/5000][105/535][6859] Loss_D: -0.056123 Loss_G: 0.039344 Loss_D_real: -0.030453 Loss_D_fake 0.025669
[70/5000][110/535][6860] Loss_D: -0.058913 Loss_G: 0.008004 Loss_D_real: -0.022115 Loss_D_fake 0.036798
[70/5000][115/535][6861] Loss_D: -0.056384 Loss_G: 0.034935 Loss_D_real: -0.035785 Loss_D_fake 0.020599
[70/5000][120/535][6862] Loss_D: -0.057927 Loss_G: 0.056999 Loss_D_real: -0.050763 Loss_D_fake 0.007164
[70/5000][125/535][6863] Loss_D: -0.056849 Loss_G: 0.016269 Loss_D_real: -0.023477 Loss_D_fake 0.033372
[70/5000][130/535][6864] Loss_D: -0.053482 Loss_G: 0.044580 Loss_D_real: -0.042141 Loss_D_fake 0.011340
[70/5000][135/535][6865] Loss_D: -0.050483 Loss_G: -0.002503 Loss_D_real: -0.003666 Loss_D_fake 0.046817
[70/5000][140/535][6866] Loss_D: -0.052297 Loss_G: 0.042631 Loss_D_real: -0.047178 Loss_D_fake 0.005119
[70/5000][145/535][6867] Loss_D: -0.056807 Loss_G: 0.022458 Loss_D_real: -0.027447 Loss_D_fake 0.029360
[70/5000][150/535][6868] Loss_D: -0.058593 Loss_G: 0.031586 Loss_D_real: -0.033226 Loss_D_fake 0.025367
[70/5000][155/535][6869] Loss_D: -0.054764 Loss_G: 0.034566 Loss_D_real: -0.029880 Loss_D_fake 0.024884
[70/5000][160/535][6870] Loss_D: -0.058051 Loss_G: 0.050960 Loss_D_real: -0.041958 Loss_D_fake 0.016093
[70/5000][165/535][6871] Loss_D: -0.056585 Loss_G: 0.004218 Loss_D_real: -0.016064 Loss_D_fake 0.040521
[70/5000][170/535][6872] Loss_D: -0.052503 Loss_G: 0.049301 Loss_D_real: -0.050923 Loss_D_fake 0.001580
[70/5000][175/535][6873] Loss_D: -0.054279 Loss_G: 0.010598 Loss_D_real: -0.019567 Loss_D_fake 0.034712
[70/5000][180/535][6874] Loss_D: -0.056345 Loss_G: 0.035080 Loss_D_real: -0.037981 Loss_D_fake 0.018363
[70/5000][185/535][6875] Loss_D: -0.056774 Loss_G: 0.030027 Loss_D_real: -0.040680 Loss_D_fake 0.016094
[70/5000][190/535][6876] Loss_D: -0.054390 Loss_G: 0.006459 Loss_D_real: -0.016036 Loss_D_fake 0.038354
[70/5000][195/535][6877] Loss_D: -0.051350 Loss_G: 0.049708 Loss_D_real: -0.048240 Loss_D_fake 0.003110
[70/5000][200/535][6878] Loss_D: -0.054790 Loss_G: 0.032727 Loss_D_real: -0.034197 Loss_D_fake 0.020593
[70/5000][205/535][6879] Loss_D: -0.054408 Loss_G: 0.029262 Loss_D_real: -0.029457 Loss_D_fake 0.024952
[70/5000][210/535][6880] Loss_D: -0.055094 Loss_G: 0.011443 Loss_D_real: -0.019921 Loss_D_fake 0.035172
[70/5000][215/535][6881] Loss_D: -0.051305 Loss_G: 0.050789 Loss_D_real: -0.053082 Loss_D_fake -0.001777
[70/5000][220/535][6882] Loss_D: -0.055484 Loss_G: 0.008241 Loss_D_real: -0.023683 Loss_D_fake 0.031801
[70/5000][225/535][6883] Loss_D: -0.053403 Loss_G: 0.047657 Loss_D_real: -0.047915 Loss_D_fake 0.005488
[70/5000][230/535][6884] Loss_D: -0.054311 Loss_G: 0.004599 Loss_D_real: -0.013752 Loss_D_fake 0.040559
[70/5000][235/535][6885] Loss_D: -0.053992 Loss_G: 0.040938 Loss_D_real: -0.038665 Loss_D_fake 0.015327
[70/5000][240/535][6886] Loss_D: -0.056447 Loss_G: 0.029363 Loss_D_real: -0.034753 Loss_D_fake 0.021695
[70/5000][245/535][6887] Loss_D: -0.055536 Loss_G: 0.034849 Loss_D_real: -0.036864 Loss_D_fake 0.018672
[70/5000][250/535][6888] Loss_D: -0.056824 Loss_G: 0.027776 Loss_D_real: -0.026608 Loss_D_fake 0.030216
[70/5000][255/535][6889] Loss_D: -0.054381 Loss_G: 0.042572 Loss_D_real: -0.047275 Loss_D_fake 0.007106
[70/5000][260/535][6890] Loss_D: -0.056440 Loss_G: 0.010101 Loss_D_real: -0.021005 Loss_D_fake 0.035435
[70/5000][265/535][6891] Loss_D: -0.056210 Loss_G: 0.042459 Loss_D_real: -0.040895 Loss_D_fake 0.015316
[70/5000][270/535][6892] Loss_D: -0.053656 Loss_G: 0.007012 Loss_D_real: -0.013897 Loss_D_fake 0.039759
[70/5000][275/535][6893] Loss_D: -0.057715 Loss_G: 0.042539 Loss_D_real: -0.044345 Loss_D_fake 0.013371
[70/5000][280/535][6894] Loss_D: -0.055123 Loss_G: 0.029681 Loss_D_real: -0.028526 Loss_D_fake 0.026598
[70/5000][285/535][6895] Loss_D: -0.056079 Loss_G: 0.046169 Loss_D_real: -0.043545 Loss_D_fake 0.012534
[70/5000][290/535][6896] Loss_D: -0.054833 Loss_G: -0.005863 Loss_D_real: -0.013422 Loss_D_fake 0.041411
[70/5000][295/535][6897] Loss_D: -0.055280 Loss_G: 0.047406 Loss_D_real: -0.049703 Loss_D_fake 0.005577
[70/5000][300/535][6898] Loss_D: -0.056462 Loss_G: 0.013291 Loss_D_real: -0.024666 Loss_D_fake 0.031796
[70/5000][305/535][6899] Loss_D: -0.057683 Loss_G: 0.031688 Loss_D_real: -0.037574 Loss_D_fake 0.020109
[70/5000][310/535][6900] Loss_D: -0.056505 Loss_G: 0.041630 Loss_D_real: -0.042329 Loss_D_fake 0.014176
[70/5000][315/535][6901] Loss_D: -0.059346 Loss_G: 0.038309 Loss_D_real: -0.036929 Loss_D_fake 0.022417
[70/5000][320/535][6902] Loss_D: -0.055869 Loss_G: 0.028064 Loss_D_real: -0.034883 Loss_D_fake 0.020985
[70/5000][325/535][6903] Loss_D: -0.057468 Loss_G: 0.033144 Loss_D_real: -0.036987 Loss_D_fake 0.020481
[70/5000][330/535][6904] Loss_D: -0.053208 Loss_G: 0.041602 Loss_D_real: -0.040070 Loss_D_fake 0.013138
[70/5000][335/535][6905] Loss_D: -0.054833 Loss_G: 0.036983 Loss_D_real: -0.032835 Loss_D_fake 0.021998
[70/5000][340/535][6906] Loss_D: -0.055415 Loss_G: 0.003848 Loss_D_real: -0.012990 Loss_D_fake 0.042426
[70/5000][345/535][6907] Loss_D: -0.054071 Loss_G: 0.038368 Loss_D_real: -0.040917 Loss_D_fake 0.013155
[70/5000][350/535][6908] Loss_D: -0.053852 Loss_G: 0.003793 Loss_D_real: -0.013096 Loss_D_fake 0.040756
[70/5000][355/535][6909] Loss_D: -0.051521 Loss_G: 0.042869 Loss_D_real: -0.047305 Loss_D_fake 0.004216
[70/5000][360/535][6910] Loss_D: -0.052759 Loss_G: 0.025573 Loss_D_real: -0.029907 Loss_D_fake 0.022852
[70/5000][365/535][6911] Loss_D: -0.055928 Loss_G: 0.041679 Loss_D_real: -0.040045 Loss_D_fake 0.015883
[70/5000][370/535][6912] Loss_D: -0.056858 Loss_G: 0.035423 Loss_D_real: -0.029148 Loss_D_fake 0.027710
[70/5000][375/535][6913] Loss_D: -0.056263 Loss_G: 0.052523 Loss_D_real: -0.047002 Loss_D_fake 0.009262
[70/5000][380/535][6914] Loss_D: -0.058350 Loss_G: 0.032402 Loss_D_real: -0.033005 Loss_D_fake 0.025345
[70/5000][385/535][6915] Loss_D: -0.058673 Loss_G: 0.048547 Loss_D_real: -0.047224 Loss_D_fake 0.011450
[70/5000][390/535][6916] Loss_D: -0.057488 Loss_G: 0.035147 Loss_D_real: -0.035949 Loss_D_fake 0.021539
[70/5000][395/535][6917] Loss_D: -0.055889 Loss_G: 0.011194 Loss_D_real: -0.021432 Loss_D_fake 0.034457
[70/5000][400/535][6918] Loss_D: -0.054683 Loss_G: 0.056740 Loss_D_real: -0.053169 Loss_D_fake 0.001514
[70/5000][405/535][6919] Loss_D: -0.055057 Loss_G: 0.005834 Loss_D_real: -0.017048 Loss_D_fake 0.038009
[70/5000][410/535][6920] Loss_D: -0.055530 Loss_G: 0.047652 Loss_D_real: -0.041171 Loss_D_fake 0.014359
[70/5000][415/535][6921] Loss_D: -0.056819 Loss_G: 0.058510 Loss_D_real: -0.048834 Loss_D_fake 0.007986
[70/5000][420/535][6922] Loss_D: -0.054684 Loss_G: 0.017815 Loss_D_real: -0.024598 Loss_D_fake 0.030086
[70/5000][425/535][6923] Loss_D: -0.054324 Loss_G: 0.051644 Loss_D_real: -0.049649 Loss_D_fake 0.004675
[70/5000][430/535][6924] Loss_D: -0.052524 Loss_G: -0.000828 Loss_D_real: -0.014829 Loss_D_fake 0.037694
[70/5000][435/535][6925] Loss_D: -0.051767 Loss_G: 0.048657 Loss_D_real: -0.050537 Loss_D_fake 0.001229
[70/5000][440/535][6926] Loss_D: -0.054598 Loss_G: 0.010750 Loss_D_real: -0.023375 Loss_D_fake 0.031223
[70/5000][445/535][6927] Loss_D: -0.053553 Loss_G: 0.053871 Loss_D_real: -0.050195 Loss_D_fake 0.003358
[70/5000][450/535][6928] Loss_D: -0.056127 Loss_G: 0.016836 Loss_D_real: -0.024162 Loss_D_fake 0.031965
[70/5000][455/535][6929] Loss_D: -0.055407 Loss_G: 0.039185 Loss_D_real: -0.040472 Loss_D_fake 0.014935
[70/5000][460/535][6930] Loss_D: -0.056430 Loss_G: 0.021380 Loss_D_real: -0.028587 Loss_D_fake 0.027843
[70/5000][465/535][6931] Loss_D: -0.055219 Loss_G: 0.058901 Loss_D_real: -0.052351 Loss_D_fake 0.002868
[70/5000][470/535][6932] Loss_D: -0.055925 Loss_G: 0.003423 Loss_D_real: -0.015595 Loss_D_fake 0.040330
[70/5000][475/535][6933] Loss_D: -0.054376 Loss_G: 0.048587 Loss_D_real: -0.046280 Loss_D_fake 0.008096
[70/5000][480/535][6934] Loss_D: -0.054321 Loss_G: -0.000141 Loss_D_real: -0.014105 Loss_D_fake 0.040216
[70/5000][485/535][6935] Loss_D: -0.051384 Loss_G: 0.031295 Loss_D_real: -0.035965 Loss_D_fake 0.015420
[70/5000][490/535][6936] Loss_D: -0.054053 Loss_G: 0.018409 Loss_D_real: -0.024546 Loss_D_fake 0.029507
[70/5000][495/535][6937] Loss_D: -0.055244 Loss_G: 0.042419 Loss_D_real: -0.038671 Loss_D_fake 0.016573
[70/5000][500/535][6938] Loss_D: -0.055251 Loss_G: 0.009010 Loss_D_real: -0.017891 Loss_D_fake 0.037360
[70/5000][505/535][6939] Loss_D: -0.054171 Loss_G: 0.023152 Loss_D_real: -0.034034 Loss_D_fake 0.020136
[70/5000][510/535][6940] Loss_D: -0.054292 Loss_G: 0.040904 Loss_D_real: -0.038427 Loss_D_fake 0.015865
[70/5000][515/535][6941] Loss_D: -0.055313 Loss_G: 0.012305 Loss_D_real: -0.018337 Loss_D_fake 0.036975
[70/5000][520/535][6942] Loss_D: -0.053381 Loss_G: 0.058147 Loss_D_real: -0.054407 Loss_D_fake -0.001026
[70/5000][525/535][6943] Loss_D: -0.051133 Loss_G: -0.004187 Loss_D_real: -0.002962 Loss_D_fake 0.048171
[70/5000][530/535][6944] Loss_D: -0.054605 Loss_G: 0.046089 Loss_D_real: -0.046781 Loss_D_fake 0.007825
[70/5000][535/535][6945] Loss_D: -0.051396 Loss_G: 0.038599 Loss_D_real: -0.025240 Loss_D_fake 0.026157
[71/5000][5/535][6946] Loss_D: -0.055863 Loss_G: 0.025763 Loss_D_real: -0.023520 Loss_D_fake 0.032343
[71/5000][10/535][6947] Loss_D: -0.055839 Loss_G: 0.023701 Loss_D_real: -0.027977 Loss_D_fake 0.027862
[71/5000][15/535][6948] Loss_D: -0.056288 Loss_G: 0.040941 Loss_D_real: -0.036792 Loss_D_fake 0.019496
[71/5000][20/535][6949] Loss_D: -0.054764 Loss_G: 0.002840 Loss_D_real: -0.012897 Loss_D_fake 0.041867
[71/5000][25/535][6950] Loss_D: -0.052086 Loss_G: 0.050029 Loss_D_real: -0.047743 Loss_D_fake 0.004343
[71/5000][30/535][6951] Loss_D: -0.055453 Loss_G: 0.012360 Loss_D_real: -0.024583 Loss_D_fake 0.030871
[71/5000][35/535][6952] Loss_D: -0.054772 Loss_G: 0.035006 Loss_D_real: -0.038651 Loss_D_fake 0.016121
[71/5000][40/535][6953] Loss_D: -0.058080 Loss_G: 0.011152 Loss_D_real: -0.022279 Loss_D_fake 0.035801
[71/5000][45/535][6954] Loss_D: -0.054116 Loss_G: 0.035441 Loss_D_real: -0.041797 Loss_D_fake 0.012319
[71/5000][50/535][6955] Loss_D: -0.056447 Loss_G: 0.035066 Loss_D_real: -0.033331 Loss_D_fake 0.023116
[71/5000][55/535][6956] Loss_D: -0.056266 Loss_G: 0.017775 Loss_D_real: -0.025448 Loss_D_fake 0.030818
[71/5000][60/535][6957] Loss_D: -0.056588 Loss_G: 0.050598 Loss_D_real: -0.047106 Loss_D_fake 0.009482
[71/5000][65/535][6958] Loss_D: -0.054573 Loss_G: 0.030366 Loss_D_real: -0.028567 Loss_D_fake 0.026007
[71/5000][70/535][6959] Loss_D: -0.056252 Loss_G: 0.047694 Loss_D_real: -0.039934 Loss_D_fake 0.016318
[71/5000][75/535][6960] Loss_D: -0.054680 Loss_G: 0.014205 Loss_D_real: -0.021049 Loss_D_fake 0.033631
[71/5000][80/535][6961] Loss_D: -0.053609 Loss_G: 0.052742 Loss_D_real: -0.051201 Loss_D_fake 0.002408
[71/5000][85/535][6962] Loss_D: -0.054679 Loss_G: 0.021456 Loss_D_real: -0.027230 Loss_D_fake 0.027449
[71/5000][90/535][6963] Loss_D: -0.055681 Loss_G: 0.055628 Loss_D_real: -0.051316 Loss_D_fake 0.004366
[71/5000][95/535][6964] Loss_D: -0.056407 Loss_G: 0.023114 Loss_D_real: -0.026385 Loss_D_fake 0.030022
[71/5000][100/535][6965] Loss_D: -0.055943 Loss_G: 0.045406 Loss_D_real: -0.046278 Loss_D_fake 0.009665
[71/5000][105/535][6966] Loss_D: -0.055493 Loss_G: 0.035114 Loss_D_real: -0.032120 Loss_D_fake 0.023373
[71/5000][110/535][6967] Loss_D: -0.056166 Loss_G: 0.048916 Loss_D_real: -0.046173 Loss_D_fake 0.009993
[71/5000][115/535][6968] Loss_D: -0.053443 Loss_G: 0.006219 Loss_D_real: -0.016704 Loss_D_fake 0.036740
[71/5000][120/535][6969] Loss_D: -0.055236 Loss_G: 0.025795 Loss_D_real: -0.033526 Loss_D_fake 0.021711
[71/5000][125/535][6970] Loss_D: -0.053912 Loss_G: 0.045187 Loss_D_real: -0.043088 Loss_D_fake 0.010823
[71/5000][130/535][6971] Loss_D: -0.053488 Loss_G: 0.002563 Loss_D_real: -0.010119 Loss_D_fake 0.043369
[71/5000][135/535][6972] Loss_D: -0.054093 Loss_G: 0.047678 Loss_D_real: -0.048538 Loss_D_fake 0.005556
[71/5000][140/535][6973] Loss_D: -0.054044 Loss_G: 0.010113 Loss_D_real: -0.014717 Loss_D_fake 0.039326
[71/5000][145/535][6974] Loss_D: -0.052889 Loss_G: 0.057015 Loss_D_real: -0.052982 Loss_D_fake -0.000093
[71/5000][150/535][6975] Loss_D: -0.056068 Loss_G: 0.013416 Loss_D_real: -0.024303 Loss_D_fake 0.031765
[71/5000][155/535][6976] Loss_D: -0.056591 Loss_G: 0.017469 Loss_D_real: -0.025996 Loss_D_fake 0.030595
[71/5000][160/535][6977] Loss_D: -0.057105 Loss_G: 0.040396 Loss_D_real: -0.041682 Loss_D_fake 0.015423
[71/5000][165/535][6978] Loss_D: -0.055436 Loss_G: 0.025086 Loss_D_real: -0.027829 Loss_D_fake 0.027606
[71/5000][170/535][6979] Loss_D: -0.056544 Loss_G: 0.013843 Loss_D_real: -0.020609 Loss_D_fake 0.035936
[71/5000][175/535][6980] Loss_D: -0.056977 Loss_G: 0.041951 Loss_D_real: -0.045008 Loss_D_fake 0.011970
[71/5000][180/535][6981] Loss_D: -0.055061 Loss_G: 0.038128 Loss_D_real: -0.032545 Loss_D_fake 0.022517
[71/5000][185/535][6982] Loss_D: -0.055012 Loss_G: 0.022107 Loss_D_real: -0.027008 Loss_D_fake 0.028004
[71/5000][190/535][6983] Loss_D: -0.053486 Loss_G: 0.055371 Loss_D_real: -0.049068 Loss_D_fake 0.004418
[71/5000][195/535][6984] Loss_D: -0.053020 Loss_G: 0.022452 Loss_D_real: -0.021304 Loss_D_fake 0.031715
[71/5000][200/535][6985] Loss_D: -0.055498 Loss_G: 0.043494 Loss_D_real: -0.042365 Loss_D_fake 0.013133
[71/5000][205/535][6986] Loss_D: -0.051667 Loss_G: -0.006909 Loss_D_real: -0.004208 Loss_D_fake 0.047459
[71/5000][210/535][6987] Loss_D: -0.052186 Loss_G: 0.040927 Loss_D_real: -0.044511 Loss_D_fake 0.007675
[71/5000][215/535][6988] Loss_D: -0.051739 Loss_G: 0.005550 Loss_D_real: -0.013284 Loss_D_fake 0.038455
[71/5000][220/535][6989] Loss_D: -0.052729 Loss_G: 0.040010 Loss_D_real: -0.045741 Loss_D_fake 0.006988
[71/5000][225/535][6990] Loss_D: -0.053542 Loss_G: 0.003294 Loss_D_real: -0.010663 Loss_D_fake 0.042879
[71/5000][230/535][6991] Loss_D: -0.054337 Loss_G: 0.041495 Loss_D_real: -0.037862 Loss_D_fake 0.016475
[71/5000][235/535][6992] Loss_D: -0.053644 Loss_G: 0.011355 Loss_D_real: -0.013704 Loss_D_fake 0.039940
[71/5000][240/535][6993] Loss_D: -0.056542 Loss_G: 0.045951 Loss_D_real: -0.047123 Loss_D_fake 0.009419
[71/5000][245/535][6994] Loss_D: -0.060619 Loss_G: 0.017405 Loss_D_real: -0.027774 Loss_D_fake 0.032846
[71/5000][250/535][6995] Loss_D: -0.057557 Loss_G: 0.043358 Loss_D_real: -0.038995 Loss_D_fake 0.018562
[71/5000][255/535][6996] Loss_D: -0.057617 Loss_G: 0.039330 Loss_D_real: -0.040490 Loss_D_fake 0.017127
[71/5000][260/535][6997] Loss_D: -0.056790 Loss_G: 0.024282 Loss_D_real: -0.027689 Loss_D_fake 0.029102
[71/5000][265/535][6998] Loss_D: -0.056472 Loss_G: 0.032505 Loss_D_real: -0.034348 Loss_D_fake 0.022124
[71/5000][270/535][6999] Loss_D: -0.056385 Loss_G: 0.020632 Loss_D_real: -0.018565 Loss_D_fake 0.037820
[71/5000][275/535][7000] Loss_D: -0.058286 Loss_G: 0.024530 Loss_D_real: -0.032083 Loss_D_fake 0.026203
[71/5000][375/535][7001] Loss_D: -0.061773 Loss_G: 0.015889 Loss_D_real: -0.023475 Loss_D_fake 0.038298
[71/5000][380/535][7002] Loss_D: -0.056199 Loss_G: 0.049303 Loss_D_real: -0.049339 Loss_D_fake 0.006860
[71/5000][385/535][7003] Loss_D: -0.051428 Loss_G: 0.020683 Loss_D_real: -0.029856 Loss_D_fake 0.021572
[71/5000][390/535][7004] Loss_D: -0.051021 Loss_G: 0.035120 Loss_D_real: -0.033777 Loss_D_fake 0.017244
[71/5000][395/535][7005] Loss_D: -0.051889 Loss_G: 0.031096 Loss_D_real: -0.032392 Loss_D_fake 0.019498
[71/5000][400/535][7006] Loss_D: -0.054716 Loss_G: 0.042285 Loss_D_real: -0.038387 Loss_D_fake 0.016329
[71/5000][405/535][7007] Loss_D: -0.051588 Loss_G: 0.030397 Loss_D_real: -0.034106 Loss_D_fake 0.017481
[71/5000][410/535][7008] Loss_D: -0.050959 Loss_G: 0.060417 Loss_D_real: -0.049624 Loss_D_fake 0.001334
[71/5000][415/535][7009] Loss_D: -0.054070 Loss_G: -0.003448 Loss_D_real: -0.011387 Loss_D_fake 0.042683
[71/5000][420/535][7010] Loss_D: -0.051000 Loss_G: 0.039412 Loss_D_real: -0.046831 Loss_D_fake 0.004169
[71/5000][425/535][7011] Loss_D: -0.055800 Loss_G: 0.021044 Loss_D_real: -0.027173 Loss_D_fake 0.028627
[71/5000][430/535][7012] Loss_D: -0.054512 Loss_G: 0.052400 Loss_D_real: -0.049364 Loss_D_fake 0.005148
[71/5000][435/535][7013] Loss_D: -0.054619 Loss_G: 0.001005 Loss_D_real: -0.009806 Loss_D_fake 0.044813
[71/5000][440/535][7014] Loss_D: -0.051970 Loss_G: 0.044223 Loss_D_real: -0.046004 Loss_D_fake 0.005965
[71/5000][445/535][7015] Loss_D: -0.053390 Loss_G: 0.050078 Loss_D_real: -0.047791 Loss_D_fake 0.005600
[71/5000][450/535][7016] Loss_D: -0.056417 Loss_G: 0.036686 Loss_D_real: -0.031408 Loss_D_fake 0.025009
[71/5000][455/535][7017] Loss_D: -0.055357 Loss_G: 0.030734 Loss_D_real: -0.029085 Loss_D_fake 0.026272
[71/5000][460/535][7018] Loss_D: -0.055122 Loss_G: 0.055207 Loss_D_real: -0.048929 Loss_D_fake 0.006194
[71/5000][465/535][7019] Loss_D: -0.052567 Loss_G: -0.005902 Loss_D_real: -0.008863 Loss_D_fake 0.043704
[71/5000][470/535][7020] Loss_D: -0.051276 Loss_G: 0.036668 Loss_D_real: -0.037576 Loss_D_fake 0.013700
[71/5000][475/535][7021] Loss_D: -0.053339 Loss_G: 0.012430 Loss_D_real: -0.024566 Loss_D_fake 0.028773
[71/5000][480/535][7022] Loss_D: -0.055806 Loss_G: 0.032980 Loss_D_real: -0.035412 Loss_D_fake 0.020394
[71/5000][485/535][7023] Loss_D: -0.056101 Loss_G: 0.051027 Loss_D_real: -0.043027 Loss_D_fake 0.013075
[71/5000][490/535][7024] Loss_D: -0.053479 Loss_G: 0.002934 Loss_D_real: -0.012053 Loss_D_fake 0.041425
[71/5000][495/535][7025] Loss_D: -0.054629 Loss_G: 0.044318 Loss_D_real: -0.045988 Loss_D_fake 0.008640
[71/5000][500/535][7026] Loss_D: -0.056011 Loss_G: 0.039331 Loss_D_real: -0.035893 Loss_D_fake 0.020118
[71/5000][505/535][7027] Loss_D: -0.056905 Loss_G: 0.038380 Loss_D_real: -0.036424 Loss_D_fake 0.020482
[71/5000][510/535][7028] Loss_D: -0.057547 Loss_G: 0.016993 Loss_D_real: -0.025182 Loss_D_fake 0.032365
[71/5000][515/535][7029] Loss_D: -0.054893 Loss_G: 0.052952 Loss_D_real: -0.048159 Loss_D_fake 0.006734
[71/5000][520/535][7030] Loss_D: -0.055217 Loss_G: 0.006794 Loss_D_real: -0.015235 Loss_D_fake 0.039982
[71/5000][525/535][7031] Loss_D: -0.054485 Loss_G: 0.046662 Loss_D_real: -0.044430 Loss_D_fake 0.010055
[71/5000][530/535][7032] Loss_D: -0.054299 Loss_G: 0.049394 Loss_D_real: -0.036471 Loss_D_fake 0.017828
[71/5000][535/535][7033] Loss_D: -0.052303 Loss_G: 0.020842 Loss_D_real: -0.022619 Loss_D_fake 0.029684
[72/5000][5/535][7034] Loss_D: -0.055462 Loss_G: 0.053934 Loss_D_real: -0.049346 Loss_D_fake 0.006116
[72/5000][10/535][7035] Loss_D: -0.054862 Loss_G: 0.015463 Loss_D_real: -0.022649 Loss_D_fake 0.032214
[72/5000][15/535][7036] Loss_D: -0.056045 Loss_G: 0.043995 Loss_D_real: -0.047407 Loss_D_fake 0.008638
[72/5000][20/535][7037] Loss_D: -0.055416 Loss_G: 0.027254 Loss_D_real: -0.028781 Loss_D_fake 0.026635
[72/5000][25/535][7038] Loss_D: -0.054780 Loss_G: 0.030918 Loss_D_real: -0.029779 Loss_D_fake 0.025001
[72/5000][30/535][7039] Loss_D: -0.057220 Loss_G: 0.001286 Loss_D_real: -0.013677 Loss_D_fake 0.043544
[72/5000][35/535][7040] Loss_D: -0.051525 Loss_G: 0.053104 Loss_D_real: -0.053112 Loss_D_fake -0.001586
[72/5000][40/535][7041] Loss_D: -0.051370 Loss_G: -0.007892 Loss_D_real: -0.004844 Loss_D_fake 0.046526
[72/5000][45/535][7042] Loss_D: -0.051944 Loss_G: 0.036988 Loss_D_real: -0.043894 Loss_D_fake 0.008050
[72/5000][50/535][7043] Loss_D: -0.051946 Loss_G: 0.011372 Loss_D_real: -0.015664 Loss_D_fake 0.036282
[72/5000][55/535][7044] Loss_D: -0.051746 Loss_G: 0.048836 Loss_D_real: -0.046168 Loss_D_fake 0.005579
[72/5000][60/535][7045] Loss_D: -0.054463 Loss_G: 0.027635 Loss_D_real: -0.029779 Loss_D_fake 0.024684
[72/5000][65/535][7046] Loss_D: -0.056811 Loss_G: 0.024485 Loss_D_real: -0.030029 Loss_D_fake 0.026782
[72/5000][70/535][7047] Loss_D: -0.055036 Loss_G: 0.048738 Loss_D_real: -0.041518 Loss_D_fake 0.013518
[72/5000][75/535][7048] Loss_D: -0.056692 Loss_G: 0.016568 Loss_D_real: -0.022882 Loss_D_fake 0.033811
[72/5000][80/535][7049] Loss_D: -0.054543 Loss_G: 0.044183 Loss_D_real: -0.044709 Loss_D_fake 0.009834
[72/5000][85/535][7050] Loss_D: -0.059300 Loss_G: 0.024664 Loss_D_real: -0.033632 Loss_D_fake 0.025668
[72/5000][90/535][7051] Loss_D: -0.058415 Loss_G: 0.043359 Loss_D_real: -0.039180 Loss_D_fake 0.019235
[72/5000][95/535][7052] Loss_D: -0.054125 Loss_G: 0.006717 Loss_D_real: -0.014980 Loss_D_fake 0.039145
[72/5000][100/535][7053] Loss_D: -0.051182 Loss_G: 0.046982 Loss_D_real: -0.048487 Loss_D_fake 0.002696
[72/5000][105/535][7054] Loss_D: -0.052110 Loss_G: 0.021161 Loss_D_real: -0.023089 Loss_D_fake 0.029021
[72/5000][110/535][7055] Loss_D: -0.055607 Loss_G: 0.028261 Loss_D_real: -0.028688 Loss_D_fake 0.026919
[72/5000][115/535][7056] Loss_D: -0.053543 Loss_G: 0.047097 Loss_D_real: -0.041167 Loss_D_fake 0.012375
[72/5000][120/535][7057] Loss_D: -0.056267 Loss_G: 0.008911 Loss_D_real: -0.019602 Loss_D_fake 0.036665
[72/5000][125/535][7058] Loss_D: -0.052627 Loss_G: 0.050611 Loss_D_real: -0.042107 Loss_D_fake 0.010520
[72/5000][130/535][7059] Loss_D: -0.052395 Loss_G: -0.002737 Loss_D_real: -0.008822 Loss_D_fake 0.043573
[72/5000][135/535][7060] Loss_D: -0.054503 Loss_G: 0.040233 Loss_D_real: -0.040820 Loss_D_fake 0.013684
[72/5000][140/535][7061] Loss_D: -0.053782 Loss_G: 0.038501 Loss_D_real: -0.035461 Loss_D_fake 0.018321
[72/5000][145/535][7062] Loss_D: -0.056773 Loss_G: 0.008867 Loss_D_real: -0.019293 Loss_D_fake 0.037479
[72/5000][150/535][7063] Loss_D: -0.051877 Loss_G: 0.056283 Loss_D_real: -0.046338 Loss_D_fake 0.005539
[72/5000][155/535][7064] Loss_D: -0.051758 Loss_G: 0.001197 Loss_D_real: -0.009567 Loss_D_fake 0.042191
[72/5000][160/535][7065] Loss_D: -0.052399 Loss_G: 0.045488 Loss_D_real: -0.042969 Loss_D_fake 0.009431
[72/5000][165/535][7066] Loss_D: -0.055901 Loss_G: 0.027646 Loss_D_real: -0.031578 Loss_D_fake 0.024323
[72/5000][170/535][7067] Loss_D: -0.057593 Loss_G: 0.044693 Loss_D_real: -0.040597 Loss_D_fake 0.016996
[72/5000][175/535][7068] Loss_D: -0.058630 Loss_G: 0.033969 Loss_D_real: -0.035727 Loss_D_fake 0.022904
[72/5000][180/535][7069] Loss_D: -0.056651 Loss_G: 0.054230 Loss_D_real: -0.051946 Loss_D_fake 0.004705
[72/5000][185/535][7070] Loss_D: -0.054379 Loss_G: -0.004128 Loss_D_real: -0.011039 Loss_D_fake 0.043339
[72/5000][190/535][7071] Loss_D: -0.055359 Loss_G: 0.043448 Loss_D_real: -0.042523 Loss_D_fake 0.012837
[72/5000][195/535][7072] Loss_D: -0.056753 Loss_G: 0.029907 Loss_D_real: -0.029865 Loss_D_fake 0.026888
[72/5000][200/535][7073] Loss_D: -0.058457 Loss_G: 0.034666 Loss_D_real: -0.038600 Loss_D_fake 0.019857
[72/5000][205/535][7074] Loss_D: -0.058681 Loss_G: 0.051606 Loss_D_real: -0.048702 Loss_D_fake 0.009980
[72/5000][210/535][7075] Loss_D: -0.053623 Loss_G: 0.025746 Loss_D_real: -0.027553 Loss_D_fake 0.026070
[72/5000][215/535][7076] Loss_D: -0.057809 Loss_G: 0.016950 Loss_D_real: -0.033733 Loss_D_fake 0.024075
[72/5000][220/535][7077] Loss_D: -0.053900 Loss_G: 0.051771 Loss_D_real: -0.046428 Loss_D_fake 0.007472
[72/5000][225/535][7078] Loss_D: -0.054184 Loss_G: 0.011737 Loss_D_real: -0.019825 Loss_D_fake 0.034359
[72/5000][230/535][7079] Loss_D: -0.055762 Loss_G: 0.040170 Loss_D_real: -0.042295 Loss_D_fake 0.013467
[72/5000][235/535][7080] Loss_D: -0.055335 Loss_G: 0.016653 Loss_D_real: -0.021197 Loss_D_fake 0.034138
[72/5000][240/535][7081] Loss_D: -0.055719 Loss_G: 0.033811 Loss_D_real: -0.031654 Loss_D_fake 0.024065
[72/5000][245/535][7082] Loss_D: -0.055761 Loss_G: 0.035582 Loss_D_real: -0.033733 Loss_D_fake 0.022028
[72/5000][250/535][7083] Loss_D: -0.054652 Loss_G: 0.037132 Loss_D_real: -0.036646 Loss_D_fake 0.018006
[72/5000][255/535][7084] Loss_D: -0.050478 Loss_G: 0.062357 Loss_D_real: -0.056664 Loss_D_fake -0.006186
[72/5000][260/535][7085] Loss_D: -0.053002 Loss_G: 0.010643 Loss_D_real: -0.017207 Loss_D_fake 0.035795
[72/5000][265/535][7086] Loss_D: -0.052868 Loss_G: 0.049037 Loss_D_real: -0.050137 Loss_D_fake 0.002732
[72/5000][270/535][7087] Loss_D: -0.053158 Loss_G: 0.010183 Loss_D_real: -0.017626 Loss_D_fake 0.035532
[72/5000][275/535][7088] Loss_D: -0.055427 Loss_G: 0.052538 Loss_D_real: -0.046514 Loss_D_fake 0.008913
[72/5000][280/535][7089] Loss_D: -0.054160 Loss_G: 0.016365 Loss_D_real: -0.019831 Loss_D_fake 0.034329
[72/5000][285/535][7090] Loss_D: -0.054650 Loss_G: 0.038802 Loss_D_real: -0.033787 Loss_D_fake 0.020863
[72/5000][290/535][7091] Loss_D: -0.054163 Loss_G: 0.026730 Loss_D_real: -0.028369 Loss_D_fake 0.025793
[72/5000][295/535][7092] Loss_D: -0.054367 Loss_G: 0.039077 Loss_D_real: -0.040910 Loss_D_fake 0.013456
[72/5000][300/535][7093] Loss_D: -0.055047 Loss_G: 0.011471 Loss_D_real: -0.023523 Loss_D_fake 0.031524
[72/5000][305/535][7094] Loss_D: -0.055704 Loss_G: 0.044806 Loss_D_real: -0.043098 Loss_D_fake 0.012606
[72/5000][310/535][7095] Loss_D: -0.056719 Loss_G: 0.033338 Loss_D_real: -0.030102 Loss_D_fake 0.026617
[72/5000][315/535][7096] Loss_D: -0.057174 Loss_G: 0.011763 Loss_D_real: -0.019136 Loss_D_fake 0.038037
[72/5000][320/535][7097] Loss_D: -0.054192 Loss_G: 0.047988 Loss_D_real: -0.041734 Loss_D_fake 0.012459
[72/5000][325/535][7098] Loss_D: -0.055212 Loss_G: -0.001699 Loss_D_real: -0.008051 Loss_D_fake 0.047162
[72/5000][330/535][7099] Loss_D: -0.053380 Loss_G: 0.048350 Loss_D_real: -0.050025 Loss_D_fake 0.003355
[72/5000][335/535][7100] Loss_D: -0.053036 Loss_G: 0.002182 Loss_D_real: -0.014504 Loss_D_fake 0.038532
[72/5000][340/535][7101] Loss_D: -0.053542 Loss_G: 0.045034 Loss_D_real: -0.044088 Loss_D_fake 0.009455
[72/5000][345/535][7102] Loss_D: -0.054819 Loss_G: 0.015669 Loss_D_real: -0.024981 Loss_D_fake 0.029838
[72/5000][350/535][7103] Loss_D: -0.054290 Loss_G: 0.034026 Loss_D_real: -0.038855 Loss_D_fake 0.015435
[72/5000][355/535][7104] Loss_D: -0.055061 Loss_G: 0.024314 Loss_D_real: -0.028261 Loss_D_fake 0.026800
[72/5000][360/535][7105] Loss_D: -0.056304 Loss_G: 0.051044 Loss_D_real: -0.051433 Loss_D_fake 0.004872
[72/5000][365/535][7106] Loss_D: -0.053098 Loss_G: -0.002030 Loss_D_real: -0.007819 Loss_D_fake 0.045279
[72/5000][370/535][7107] Loss_D: -0.053630 Loss_G: 0.043885 Loss_D_real: -0.045004 Loss_D_fake 0.008626
[72/5000][375/535][7108] Loss_D: -0.053810 Loss_G: 0.012753 Loss_D_real: -0.015379 Loss_D_fake 0.038431
[72/5000][380/535][7109] Loss_D: -0.055280 Loss_G: 0.048952 Loss_D_real: -0.047686 Loss_D_fake 0.007594
[72/5000][385/535][7110] Loss_D: -0.054874 Loss_G: 0.006859 Loss_D_real: -0.018026 Loss_D_fake 0.036848
[72/5000][390/535][7111] Loss_D: -0.056739 Loss_G: 0.051458 Loss_D_real: -0.052829 Loss_D_fake 0.003910
[72/5000][395/535][7112] Loss_D: -0.056978 Loss_G: 0.025588 Loss_D_real: -0.030350 Loss_D_fake 0.026627
[72/5000][400/535][7113] Loss_D: -0.058680 Loss_G: 0.027487 Loss_D_real: -0.030933 Loss_D_fake 0.027748
[72/5000][405/535][7114] Loss_D: -0.057232 Loss_G: 0.043697 Loss_D_real: -0.041924 Loss_D_fake 0.015308
[72/5000][410/535][7115] Loss_D: -0.056211 Loss_G: 0.045907 Loss_D_real: -0.042237 Loss_D_fake 0.013974
[72/5000][415/535][7116] Loss_D: -0.053312 Loss_G: 0.014223 Loss_D_real: -0.022390 Loss_D_fake 0.030922
[72/5000][420/535][7117] Loss_D: -0.054127 Loss_G: 0.048471 Loss_D_real: -0.045627 Loss_D_fake 0.008500
[72/5000][425/535][7118] Loss_D: -0.053169 Loss_G: 0.021101 Loss_D_real: -0.024808 Loss_D_fake 0.028361
[72/5000][430/535][7119] Loss_D: -0.054144 Loss_G: 0.049358 Loss_D_real: -0.048373 Loss_D_fake 0.005771
[72/5000][435/535][7120] Loss_D: -0.055074 Loss_G: 0.029486 Loss_D_real: -0.028227 Loss_D_fake 0.026847
[72/5000][440/535][7121] Loss_D: -0.057089 Loss_G: 0.050953 Loss_D_real: -0.045677 Loss_D_fake 0.011412
[72/5000][445/535][7122] Loss_D: -0.055741 Loss_G: 0.000701 Loss_D_real: -0.012131 Loss_D_fake 0.043610
[72/5000][450/535][7123] Loss_D: -0.054429 Loss_G: 0.050548 Loss_D_real: -0.050849 Loss_D_fake 0.003580
[72/5000][455/535][7124] Loss_D: -0.056161 Loss_G: 0.026056 Loss_D_real: -0.022903 Loss_D_fake 0.033258
[72/5000][460/535][7125] Loss_D: -0.058312 Loss_G: 0.034689 Loss_D_real: -0.034553 Loss_D_fake 0.023759
[72/5000][465/535][7126] Loss_D: -0.055486 Loss_G: 0.035898 Loss_D_real: -0.037196 Loss_D_fake 0.018290
[72/5000][470/535][7127] Loss_D: -0.055877 Loss_G: 0.050937 Loss_D_real: -0.049840 Loss_D_fake 0.006037
[72/5000][475/535][7128] Loss_D: -0.053866 Loss_G: 0.010104 Loss_D_real: -0.017820 Loss_D_fake 0.036046
[72/5000][480/535][7129] Loss_D: -0.051870 Loss_G: 0.052924 Loss_D_real: -0.045651 Loss_D_fake 0.006219
[72/5000][485/535][7130] Loss_D: -0.054652 Loss_G: 0.021762 Loss_D_real: -0.023341 Loss_D_fake 0.031311
[72/5000][490/535][7131] Loss_D: -0.054417 Loss_G: 0.051320 Loss_D_real: -0.045410 Loss_D_fake 0.009007
[72/5000][495/535][7132] Loss_D: -0.054240 Loss_G: 0.000797 Loss_D_real: -0.013807 Loss_D_fake 0.040433
[72/5000][500/535][7133] Loss_D: -0.054843 Loss_G: 0.038693 Loss_D_real: -0.042753 Loss_D_fake 0.012090
[72/5000][505/535][7134] Loss_D: -0.055226 Loss_G: 0.055208 Loss_D_real: -0.048622 Loss_D_fake 0.006604
[72/5000][510/535][7135] Loss_D: -0.053041 Loss_G: 0.008389 Loss_D_real: -0.014012 Loss_D_fake 0.039028
[72/5000][515/535][7136] Loss_D: -0.055343 Loss_G: 0.047857 Loss_D_real: -0.049044 Loss_D_fake 0.006299
[72/5000][520/535][7137] Loss_D: -0.053507 Loss_G: 0.011386 Loss_D_real: -0.013380 Loss_D_fake 0.040127
[72/5000][525/535][7138] Loss_D: -0.052641 Loss_G: 0.051637 Loss_D_real: -0.050569 Loss_D_fake 0.002073
[72/5000][530/535][7139] Loss_D: -0.056446 Loss_G: 0.010418 Loss_D_real: -0.020495 Loss_D_fake 0.035951
[72/5000][535/535][7140] Loss_D: -0.054916 Loss_G: 0.050049 Loss_D_real: -0.043320 Loss_D_fake 0.011596
[73/5000][5/535][7141] Loss_D: -0.054414 Loss_G: 0.010616 Loss_D_real: -0.017688 Loss_D_fake 0.036726
[73/5000][10/535][7142] Loss_D: -0.052882 Loss_G: 0.039210 Loss_D_real: -0.039566 Loss_D_fake 0.013315
[73/5000][15/535][7143] Loss_D: -0.056808 Loss_G: 0.020733 Loss_D_real: -0.026383 Loss_D_fake 0.030425
[73/5000][20/535][7144] Loss_D: -0.056617 Loss_G: 0.042815 Loss_D_real: -0.039647 Loss_D_fake 0.016970
[73/5000][25/535][7145] Loss_D: -0.054398 Loss_G: 0.018668 Loss_D_real: -0.026084 Loss_D_fake 0.028314
[73/5000][30/535][7146] Loss_D: -0.053939 Loss_G: 0.050577 Loss_D_real: -0.047233 Loss_D_fake 0.006705
[73/5000][35/535][7147] Loss_D: -0.054402 Loss_G: -0.004248 Loss_D_real: -0.013695 Loss_D_fake 0.040707
[73/5000][40/535][7148] Loss_D: -0.053308 Loss_G: 0.031108 Loss_D_real: -0.040321 Loss_D_fake 0.012987
[73/5000][45/535][7149] Loss_D: -0.054912 Loss_G: 0.034348 Loss_D_real: -0.038994 Loss_D_fake 0.015919
[73/5000][50/535][7150] Loss_D: -0.055310 Loss_G: 0.046715 Loss_D_real: -0.037750 Loss_D_fake 0.017560
[73/5000][55/535][7151] Loss_D: -0.052217 Loss_G: 0.054794 Loss_D_real: -0.045094 Loss_D_fake 0.007123
[73/5000][60/535][7152] Loss_D: -0.053394 Loss_G: 0.015850 Loss_D_real: -0.019169 Loss_D_fake 0.034225
[73/5000][65/535][7153] Loss_D: -0.055802 Loss_G: 0.047998 Loss_D_real: -0.045080 Loss_D_fake 0.010723
[73/5000][70/535][7154] Loss_D: -0.054825 Loss_G: 0.015712 Loss_D_real: -0.023518 Loss_D_fake 0.031307
[73/5000][75/535][7155] Loss_D: -0.053310 Loss_G: 0.051501 Loss_D_real: -0.047740 Loss_D_fake 0.005569
[73/5000][80/535][7156] Loss_D: -0.055661 Loss_G: 0.009201 Loss_D_real: -0.020101 Loss_D_fake 0.035560
[73/5000][85/535][7157] Loss_D: -0.055561 Loss_G: 0.036686 Loss_D_real: -0.038088 Loss_D_fake 0.017473
[73/5000][90/535][7158] Loss_D: -0.055713 Loss_G: 0.044643 Loss_D_real: -0.039761 Loss_D_fake 0.015952
[73/5000][95/535][7159] Loss_D: -0.056796 Loss_G: 0.020875 Loss_D_real: -0.029437 Loss_D_fake 0.027358
[73/5000][100/535][7160] Loss_D: -0.052033 Loss_G: 0.059467 Loss_D_real: -0.054275 Loss_D_fake -0.002242
[73/5000][105/535][7161] Loss_D: -0.051800 Loss_G: -0.001762 Loss_D_real: -0.004288 Loss_D_fake 0.047513
[73/5000][110/535][7162] Loss_D: -0.052693 Loss_G: 0.039588 Loss_D_real: -0.045659 Loss_D_fake 0.007033
[73/5000][115/535][7163] Loss_D: -0.054350 Loss_G: 0.018807 Loss_D_real: -0.028406 Loss_D_fake 0.025944
[73/5000][120/535][7164] Loss_D: -0.056351 Loss_G: 0.029791 Loss_D_real: -0.032859 Loss_D_fake 0.023492
[73/5000][125/535][7165] Loss_D: -0.052709 Loss_G: 0.025675 Loss_D_real: -0.024991 Loss_D_fake 0.027718
[73/5000][130/535][7166] Loss_D: -0.055144 Loss_G: 0.032942 Loss_D_real: -0.031448 Loss_D_fake 0.023696
[73/5000][135/535][7167] Loss_D: -0.052813 Loss_G: 0.000882 Loss_D_real: -0.012981 Loss_D_fake 0.039832
[73/5000][140/535][7168] Loss_D: -0.053360 Loss_G: 0.037261 Loss_D_real: -0.042203 Loss_D_fake 0.011158
[73/5000][145/535][7169] Loss_D: -0.053283 Loss_G: 0.004160 Loss_D_real: -0.017892 Loss_D_fake 0.035391
[73/5000][150/535][7170] Loss_D: -0.053507 Loss_G: 0.036384 Loss_D_real: -0.039695 Loss_D_fake 0.013812
[73/5000][155/535][7171] Loss_D: -0.053681 Loss_G: 0.009655 Loss_D_real: -0.019684 Loss_D_fake 0.033998
[73/5000][160/535][7172] Loss_D: -0.053648 Loss_G: 0.040467 Loss_D_real: -0.043544 Loss_D_fake 0.010105
[73/5000][165/535][7173] Loss_D: -0.052715 Loss_G: 0.017278 Loss_D_real: -0.025325 Loss_D_fake 0.027390
[73/5000][170/535][7174] Loss_D: -0.055548 Loss_G: 0.037403 Loss_D_real: -0.039960 Loss_D_fake 0.015588
[73/5000][175/535][7175] Loss_D: -0.053991 Loss_G: 0.009924 Loss_D_real: -0.015775 Loss_D_fake 0.038215
[73/5000][180/535][7176] Loss_D: -0.052866 Loss_G: 0.039889 Loss_D_real: -0.038036 Loss_D_fake 0.014830
[73/5000][185/535][7177] Loss_D: -0.051688 Loss_G: -0.000883 Loss_D_real: -0.011801 Loss_D_fake 0.039887
[73/5000][190/535][7178] Loss_D: -0.053997 Loss_G: 0.040711 Loss_D_real: -0.049885 Loss_D_fake 0.004112
[73/5000][195/535][7179] Loss_D: -0.055441 Loss_G: 0.048523 Loss_D_real: -0.045718 Loss_D_fake 0.009723
[73/5000][200/535][7180] Loss_D: -0.054671 Loss_G: 0.002013 Loss_D_real: -0.015286 Loss_D_fake 0.039386
[73/5000][205/535][7181] Loss_D: -0.056561 Loss_G: 0.048145 Loss_D_real: -0.047190 Loss_D_fake 0.009371
[73/5000][210/535][7182] Loss_D: -0.057553 Loss_G: 0.012518 Loss_D_real: -0.019368 Loss_D_fake 0.038185
[73/5000][215/535][7183] Loss_D: -0.056864 Loss_G: 0.050320 Loss_D_real: -0.050889 Loss_D_fake 0.005975
[73/5000][220/535][7184] Loss_D: -0.056053 Loss_G: 0.031344 Loss_D_real: -0.033379 Loss_D_fake 0.022674
[73/5000][225/535][7185] Loss_D: -0.057159 Loss_G: 0.036573 Loss_D_real: -0.039156 Loss_D_fake 0.018003
[73/5000][230/535][7186] Loss_D: -0.053399 Loss_G: 0.010283 Loss_D_real: -0.018835 Loss_D_fake 0.034564
[73/5000][235/535][7187] Loss_D: -0.058412 Loss_G: 0.035289 Loss_D_real: -0.035219 Loss_D_fake 0.023193
[73/5000][240/535][7188] Loss_D: -0.057406 Loss_G: 0.022334 Loss_D_real: -0.029464 Loss_D_fake 0.027943
[73/5000][245/535][7189] Loss_D: -0.057656 Loss_G: 0.043202 Loss_D_real: -0.044307 Loss_D_fake 0.013349
[73/5000][250/535][7190] Loss_D: -0.055597 Loss_G: 0.030652 Loss_D_real: -0.032455 Loss_D_fake 0.023142
[73/5000][255/535][7191] Loss_D: -0.054805 Loss_G: 0.020009 Loss_D_real: -0.030985 Loss_D_fake 0.023820
[73/5000][260/535][7192] Loss_D: -0.053332 Loss_G: 0.042792 Loss_D_real: -0.037220 Loss_D_fake 0.016113
[73/5000][265/535][7193] Loss_D: -0.056184 Loss_G: 0.009826 Loss_D_real: -0.021082 Loss_D_fake 0.035102
[73/5000][270/535][7194] Loss_D: -0.055033 Loss_G: 0.029774 Loss_D_real: -0.034155 Loss_D_fake 0.020879
[73/5000][275/535][7195] Loss_D: -0.052798 Loss_G: 0.060933 Loss_D_real: -0.055701 Loss_D_fake -0.002903
[73/5000][280/535][7196] Loss_D: -0.054764 Loss_G: 0.013407 Loss_D_real: -0.024985 Loss_D_fake 0.029779
[73/5000][285/535][7197] Loss_D: -0.052790 Loss_G: 0.049184 Loss_D_real: -0.050627 Loss_D_fake 0.002163
[73/5000][290/535][7198] Loss_D: -0.056808 Loss_G: 0.007332 Loss_D_real: -0.015406 Loss_D_fake 0.041402
[73/5000][295/535][7199] Loss_D: -0.055339 Loss_G: 0.048161 Loss_D_real: -0.044176 Loss_D_fake 0.011163
[73/5000][300/535][7200] Loss_D: -0.057981 Loss_G: 0.015582 Loss_D_real: -0.018258 Loss_D_fake 0.039724
[73/5000][305/535][7201] Loss_D: -0.057225 Loss_G: 0.047030 Loss_D_real: -0.044185 Loss_D_fake 0.013040
[73/5000][310/535][7202] Loss_D: -0.058183 Loss_G: 0.031870 Loss_D_real: -0.035790 Loss_D_fake 0.022393
[73/5000][315/535][7203] Loss_D: -0.058117 Loss_G: 0.039422 Loss_D_real: -0.038565 Loss_D_fake 0.019553
[73/5000][320/535][7204] Loss_D: -0.056361 Loss_G: 0.007719 Loss_D_real: -0.016765 Loss_D_fake 0.039597
[73/5000][325/535][7205] Loss_D: -0.053732 Loss_G: 0.047499 Loss_D_real: -0.049943 Loss_D_fake 0.003788
[73/5000][330/535][7206] Loss_D: -0.057307 Loss_G: 0.019477 Loss_D_real: -0.022028 Loss_D_fake 0.035280
[73/5000][335/535][7207] Loss_D: -0.057292 Loss_G: 0.044586 Loss_D_real: -0.041991 Loss_D_fake 0.015302
[73/5000][340/535][7208] Loss_D: -0.055014 Loss_G: 0.046700 Loss_D_real: -0.042651 Loss_D_fake 0.012363
[73/5000][345/535][7209] Loss_D: -0.052675 Loss_G: 0.007448 Loss_D_real: -0.019273 Loss_D_fake 0.033401
[73/5000][350/535][7210] Loss_D: -0.053812 Loss_G: 0.049787 Loss_D_real: -0.044756 Loss_D_fake 0.009056
[73/5000][355/535][7211] Loss_D: -0.056976 Loss_G: 0.012760 Loss_D_real: -0.020031 Loss_D_fake 0.036945
[73/5000][360/535][7212] Loss_D: -0.051797 Loss_G: 0.049913 Loss_D_real: -0.051566 Loss_D_fake 0.000231
[73/5000][365/535][7213] Loss_D: -0.053437 Loss_G: -0.000917 Loss_D_real: -0.010099 Loss_D_fake 0.043338
[73/5000][370/535][7214] Loss_D: -0.054308 Loss_G: 0.039294 Loss_D_real: -0.040936 Loss_D_fake 0.013372
[73/5000][375/535][7215] Loss_D: -0.052989 Loss_G: -0.004646 Loss_D_real: -0.008326 Loss_D_fake 0.044663
[73/5000][380/535][7216] Loss_D: -0.053113 Loss_G: 0.036482 Loss_D_real: -0.038755 Loss_D_fake 0.014358
[73/5000][385/535][7217] Loss_D: -0.055487 Loss_G: 0.017751 Loss_D_real: -0.026309 Loss_D_fake 0.029178
[73/5000][390/535][7218] Loss_D: -0.056006 Loss_G: 0.042404 Loss_D_real: -0.034332 Loss_D_fake 0.021673
[73/5000][395/535][7219] Loss_D: -0.056934 Loss_G: 0.035696 Loss_D_real: -0.033359 Loss_D_fake 0.023575
[73/5000][400/535][7220] Loss_D: -0.055060 Loss_G: 0.019894 Loss_D_real: -0.023214 Loss_D_fake 0.031846
[73/5000][405/535][7221] Loss_D: -0.054367 Loss_G: 0.053125 Loss_D_real: -0.053104 Loss_D_fake 0.001263
[73/5000][410/535][7222] Loss_D: -0.055467 Loss_G: 0.016494 Loss_D_real: -0.022427 Loss_D_fake 0.033040
[73/5000][415/535][7223] Loss_D: -0.055440 Loss_G: 0.029990 Loss_D_real: -0.029211 Loss_D_fake 0.026229
[73/5000][420/535][7224] Loss_D: -0.053677 Loss_G: 0.054318 Loss_D_real: -0.047403 Loss_D_fake 0.006274
[73/5000][425/535][7225] Loss_D: -0.051456 Loss_G: -0.003930 Loss_D_real: -0.004763 Loss_D_fake 0.046694
[73/5000][430/535][7226] Loss_D: -0.051690 Loss_G: 0.041643 Loss_D_real: -0.042766 Loss_D_fake 0.008924
[73/5000][435/535][7227] Loss_D: -0.054006 Loss_G: 0.020800 Loss_D_real: -0.022264 Loss_D_fake 0.031741
[73/5000][440/535][7228] Loss_D: -0.054450 Loss_G: 0.043059 Loss_D_real: -0.041655 Loss_D_fake 0.012795
[73/5000][445/535][7229] Loss_D: -0.053661 Loss_G: 0.006063 Loss_D_real: -0.012175 Loss_D_fake 0.041486
[73/5000][450/535][7230] Loss_D: -0.053993 Loss_G: 0.040002 Loss_D_real: -0.037157 Loss_D_fake 0.016836
[73/5000][455/535][7231] Loss_D: -0.051624 Loss_G: 0.016717 Loss_D_real: -0.018690 Loss_D_fake 0.032934
[73/5000][460/535][7232] Loss_D: -0.053482 Loss_G: 0.041823 Loss_D_real: -0.038746 Loss_D_fake 0.014736
[73/5000][465/535][7233] Loss_D: -0.056031 Loss_G: 0.030680 Loss_D_real: -0.031173 Loss_D_fake 0.024858
[73/5000][470/535][7234] Loss_D: -0.054345 Loss_G: 0.028579 Loss_D_real: -0.027213 Loss_D_fake 0.027132
[73/5000][475/535][7235] Loss_D: -0.054265 Loss_G: 0.058413 Loss_D_real: -0.052328 Loss_D_fake 0.001937
[73/5000][480/535][7236] Loss_D: -0.052556 Loss_G: 0.028441 Loss_D_real: -0.029532 Loss_D_fake 0.023023
[73/5000][485/535][7237] Loss_D: -0.054713 Loss_G: 0.040031 Loss_D_real: -0.038810 Loss_D_fake 0.015903
[73/5000][490/535][7238] Loss_D: -0.055590 Loss_G: 0.025610 Loss_D_real: -0.028823 Loss_D_fake 0.026767
[73/5000][495/535][7239] Loss_D: -0.056274 Loss_G: 0.050341 Loss_D_real: -0.047781 Loss_D_fake 0.008493
[73/5000][500/535][7240] Loss_D: -0.053383 Loss_G: -0.000223 Loss_D_real: -0.012962 Loss_D_fake 0.040421
[73/5000][505/535][7241] Loss_D: -0.051253 Loss_G: 0.049164 Loss_D_real: -0.053201 Loss_D_fake -0.001948
[73/5000][510/535][7242] Loss_D: -0.053555 Loss_G: 0.012080 Loss_D_real: -0.015793 Loss_D_fake 0.037763
[73/5000][515/535][7243] Loss_D: -0.052163 Loss_G: 0.042379 Loss_D_real: -0.034995 Loss_D_fake 0.017168
[73/5000][520/535][7244] Loss_D: -0.053528 Loss_G: 0.010565 Loss_D_real: -0.020961 Loss_D_fake 0.032567
[73/5000][525/535][7245] Loss_D: -0.055104 Loss_G: 0.043856 Loss_D_real: -0.036482 Loss_D_fake 0.018622
[73/5000][530/535][7246] Loss_D: -0.055787 Loss_G: 0.004903 Loss_D_real: -0.014659 Loss_D_fake 0.041128
[73/5000][535/535][7247] Loss_D: -0.058186 Loss_G: 0.034870 Loss_D_real: -0.039909 Loss_D_fake 0.018277
[74/5000][5/535][7248] Loss_D: -0.051033 Loss_G: 0.043856 Loss_D_real: -0.039554 Loss_D_fake 0.011479
[74/5000][10/535][7249] Loss_D: -0.055513 Loss_G: 0.038580 Loss_D_real: -0.040036 Loss_D_fake 0.015477
[74/5000][15/535][7250] Loss_D: -0.055095 Loss_G: 0.012446 Loss_D_real: -0.021756 Loss_D_fake 0.033339
[74/5000][20/535][7251] Loss_D: -0.054841 Loss_G: 0.054463 Loss_D_real: -0.050425 Loss_D_fake 0.004416
[74/5000][25/535][7252] Loss_D: -0.052181 Loss_G: 0.011514 Loss_D_real: -0.017644 Loss_D_fake 0.034536
[74/5000][30/535][7253] Loss_D: -0.053975 Loss_G: 0.021368 Loss_D_real: -0.025791 Loss_D_fake 0.028184
[74/5000][35/535][7254] Loss_D: -0.055817 Loss_G: 0.035914 Loss_D_real: -0.037629 Loss_D_fake 0.018189
[74/5000][40/535][7255] Loss_D: -0.054819 Loss_G: 0.041784 Loss_D_real: -0.036536 Loss_D_fake 0.018283
[74/5000][45/535][7256] Loss_D: -0.054280 Loss_G: 0.007168 Loss_D_real: -0.022726 Loss_D_fake 0.031554
[74/5000][50/535][7257] Loss_D: -0.052677 Loss_G: 0.050329 Loss_D_real: -0.050413 Loss_D_fake 0.002263
[74/5000][55/535][7258] Loss_D: -0.054605 Loss_G: 0.023996 Loss_D_real: -0.019817 Loss_D_fake 0.034788
[74/5000][60/535][7259] Loss_D: -0.055375 Loss_G: 0.033793 Loss_D_real: -0.034583 Loss_D_fake 0.020792
[74/5000][65/535][7260] Loss_D: -0.056786 Loss_G: 0.024834 Loss_D_real: -0.029140 Loss_D_fake 0.027645
[74/5000][70/535][7261] Loss_D: -0.056028 Loss_G: 0.040764 Loss_D_real: -0.034483 Loss_D_fake 0.021545
[74/5000][75/535][7262] Loss_D: -0.056549 Loss_G: 0.012099 Loss_D_real: -0.021874 Loss_D_fake 0.034675
[74/5000][80/535][7263] Loss_D: -0.050857 Loss_G: 0.059670 Loss_D_real: -0.050609 Loss_D_fake 0.000249
[74/5000][85/535][7264] Loss_D: -0.051605 Loss_G: -0.004784 Loss_D_real: -0.007665 Loss_D_fake 0.043940
[74/5000][90/535][7265] Loss_D: -0.049986 Loss_G: 0.032697 Loss_D_real: -0.031807 Loss_D_fake 0.018179
[74/5000][95/535][7266] Loss_D: -0.052677 Loss_G: 0.023156 Loss_D_real: -0.028807 Loss_D_fake 0.023871
[74/5000][100/535][7267] Loss_D: -0.053359 Loss_G: 0.029634 Loss_D_real: -0.035937 Loss_D_fake 0.017421
[74/5000][105/535][7268] Loss_D: -0.052565 Loss_G: 0.008838 Loss_D_real: -0.023501 Loss_D_fake 0.029064
[74/5000][110/535][7269] Loss_D: -0.053751 Loss_G: 0.041166 Loss_D_real: -0.044571 Loss_D_fake 0.009180
[74/5000][115/535][7270] Loss_D: -0.053794 Loss_G: 0.016223 Loss_D_real: -0.024110 Loss_D_fake 0.029684
[74/5000][120/535][7271] Loss_D: -0.051427 Loss_G: 0.042170 Loss_D_real: -0.047379 Loss_D_fake 0.004048
[74/5000][125/535][7272] Loss_D: -0.053216 Loss_G: 0.008242 Loss_D_real: -0.017319 Loss_D_fake 0.035898
[74/5000][130/535][7273] Loss_D: -0.055577 Loss_G: 0.033104 Loss_D_real: -0.037900 Loss_D_fake 0.017677
[74/5000][135/535][7274] Loss_D: -0.054034 Loss_G: 0.019372 Loss_D_real: -0.021844 Loss_D_fake 0.032190
[74/5000][140/535][7275] Loss_D: -0.052764 Loss_G: 0.032749 Loss_D_real: -0.038068 Loss_D_fake 0.014696
[74/5000][145/535][7276] Loss_D: -0.054820 Loss_G: 0.016659 Loss_D_real: -0.019342 Loss_D_fake 0.035478
[74/5000][150/535][7277] Loss_D: -0.052029 Loss_G: 0.042591 Loss_D_real: -0.040811 Loss_D_fake 0.011219
[74/5000][155/535][7278] Loss_D: -0.051224 Loss_G: -0.005576 Loss_D_real: -0.005005 Loss_D_fake 0.046220
[74/5000][160/535][7279] Loss_D: -0.055534 Loss_G: 0.030482 Loss_D_real: -0.042072 Loss_D_fake 0.013462
[74/5000][165/535][7280] Loss_D: -0.052545 Loss_G: 0.041292 Loss_D_real: -0.041960 Loss_D_fake 0.010585
[74/5000][170/535][7281] Loss_D: -0.056583 Loss_G: 0.027686 Loss_D_real: -0.027817 Loss_D_fake 0.028766
[74/5000][175/535][7282] Loss_D: -0.055280 Loss_G: 0.065569 Loss_D_real: -0.051949 Loss_D_fake 0.003331
[74/5000][180/535][7283] Loss_D: -0.052491 Loss_G: 0.012505 Loss_D_real: -0.020189 Loss_D_fake 0.032303
[74/5000][185/535][7284] Loss_D: -0.052561 Loss_G: 0.051436 Loss_D_real: -0.048651 Loss_D_fake 0.003911
[74/5000][190/535][7285] Loss_D: -0.058098 Loss_G: 0.035642 Loss_D_real: -0.034581 Loss_D_fake 0.023517
[74/5000][195/535][7286] Loss_D: -0.056397 Loss_G: 0.056711 Loss_D_real: -0.044447 Loss_D_fake 0.011950
[74/5000][200/535][7287] Loss_D: -0.058682 Loss_G: 0.030407 Loss_D_real: -0.030482 Loss_D_fake 0.028200
[74/5000][205/535][7288] Loss_D: -0.055590 Loss_G: 0.053558 Loss_D_real: -0.050215 Loss_D_fake 0.005375
[74/5000][210/535][7289] Loss_D: -0.057838 Loss_G: 0.005517 Loss_D_real: -0.021995 Loss_D_fake 0.035843
[74/5000][215/535][7290] Loss_D: -0.052844 Loss_G: 0.053691 Loss_D_real: -0.052772 Loss_D_fake 0.000072
[74/5000][220/535][7291] Loss_D: -0.049655 Loss_G: -0.005304 Loss_D_real: -0.004701 Loss_D_fake 0.044955
[74/5000][225/535][7292] Loss_D: -0.054253 Loss_G: 0.042999 Loss_D_real: -0.046900 Loss_D_fake 0.007353
[74/5000][230/535][7293] Loss_D: -0.052507 Loss_G: 0.058002 Loss_D_real: -0.052552 Loss_D_fake -0.000045
[74/5000][235/535][7294] Loss_D: -0.053941 Loss_G: 0.007420 Loss_D_real: -0.015406 Loss_D_fake 0.038535
[74/5000][240/535][7295] Loss_D: -0.053436 Loss_G: 0.053595 Loss_D_real: -0.052928 Loss_D_fake 0.000509
[74/5000][245/535][7296] Loss_D: -0.055087 Loss_G: 0.008590 Loss_D_real: -0.014716 Loss_D_fake 0.040370
[74/5000][250/535][7297] Loss_D: -0.052662 Loss_G: 0.044633 Loss_D_real: -0.044603 Loss_D_fake 0.008059
[74/5000][255/535][7298] Loss_D: -0.052156 Loss_G: 0.020813 Loss_D_real: -0.020925 Loss_D_fake 0.031231
[74/5000][260/535][7299] Loss_D: -0.056318 Loss_G: 0.037392 Loss_D_real: -0.038197 Loss_D_fake 0.018121
[74/5000][265/535][7300] Loss_D: -0.057969 Loss_G: 0.041159 Loss_D_real: -0.039611 Loss_D_fake 0.018358
[74/5000][270/535][7301] Loss_D: -0.058361 Loss_G: 0.030479 Loss_D_real: -0.032981 Loss_D_fake 0.025380
[74/5000][275/535][7302] Loss_D: -0.055998 Loss_G: 0.018590 Loss_D_real: -0.021695 Loss_D_fake 0.034303
[74/5000][280/535][7303] Loss_D: -0.056628 Loss_G: 0.037952 Loss_D_real: -0.035312 Loss_D_fake 0.021316
[74/5000][285/535][7304] Loss_D: -0.053995 Loss_G: 0.043693 Loss_D_real: -0.045467 Loss_D_fake 0.008528
[74/5000][290/535][7305] Loss_D: -0.056911 Loss_G: 0.040624 Loss_D_real: -0.039976 Loss_D_fake 0.016935
[74/5000][295/535][7306] Loss_D: -0.055421 Loss_G: 0.045967 Loss_D_real: -0.041855 Loss_D_fake 0.013567
[74/5000][300/535][7307] Loss_D: -0.056526 Loss_G: 0.029153 Loss_D_real: -0.032205 Loss_D_fake 0.024321
[74/5000][305/535][7308] Loss_D: -0.052247 Loss_G: 0.006764 Loss_D_real: -0.015992 Loss_D_fake 0.036255
[74/5000][310/535][7309] Loss_D: -0.055737 Loss_G: 0.038439 Loss_D_real: -0.039729 Loss_D_fake 0.016008
[74/5000][315/535][7310] Loss_D: -0.055021 Loss_G: 0.038535 Loss_D_real: -0.035516 Loss_D_fake 0.019505
[74/5000][320/535][7311] Loss_D: -0.054798 Loss_G: 0.049572 Loss_D_real: -0.044021 Loss_D_fake 0.010777
[74/5000][325/535][7312] Loss_D: -0.053961 Loss_G: 0.019417 Loss_D_real: -0.020863 Loss_D_fake 0.033098
[74/5000][330/535][7313] Loss_D: -0.050923 Loss_G: 0.042123 Loss_D_real: -0.037933 Loss_D_fake 0.012990
[74/5000][335/535][7314] Loss_D: -0.051625 Loss_G: 0.008603 Loss_D_real: -0.013436 Loss_D_fake 0.038189
[74/5000][340/535][7315] Loss_D: -0.053836 Loss_G: 0.047022 Loss_D_real: -0.047280 Loss_D_fake 0.006556
[74/5000][345/535][7316] Loss_D: -0.056402 Loss_G: 0.028912 Loss_D_real: -0.031131 Loss_D_fake 0.025271
[74/5000][350/535][7317] Loss_D: -0.053071 Loss_G: 0.054766 Loss_D_real: -0.049427 Loss_D_fake 0.003645
[74/5000][355/535][7318] Loss_D: -0.051948 Loss_G: -0.006637 Loss_D_real: -0.004592 Loss_D_fake 0.047356
[74/5000][360/535][7319] Loss_D: -0.050780 Loss_G: 0.042610 Loss_D_real: -0.047649 Loss_D_fake 0.003131
[74/5000][365/535][7320] Loss_D: -0.056475 Loss_G: 0.013128 Loss_D_real: -0.016926 Loss_D_fake 0.039549
[74/5000][370/535][7321] Loss_D: -0.052609 Loss_G: 0.042794 Loss_D_real: -0.040838 Loss_D_fake 0.011771
[74/5000][375/535][7322] Loss_D: -0.052866 Loss_G: 0.022834 Loss_D_real: -0.021809 Loss_D_fake 0.031058
[74/5000][380/535][7323] Loss_D: -0.054151 Loss_G: 0.038245 Loss_D_real: -0.039902 Loss_D_fake 0.014249
[74/5000][385/535][7324] Loss_D: -0.054135 Loss_G: 0.035522 Loss_D_real: -0.037988 Loss_D_fake 0.016147
[74/5000][390/535][7325] Loss_D: -0.054288 Loss_G: 0.055241 Loss_D_real: -0.049765 Loss_D_fake 0.004522
[74/5000][395/535][7326] Loss_D: -0.056189 Loss_G: 0.018926 Loss_D_real: -0.023313 Loss_D_fake 0.032877
[74/5000][400/535][7327] Loss_D: -0.058261 Loss_G: 0.034926 Loss_D_real: -0.042773 Loss_D_fake 0.015488
[74/5000][405/535][7328] Loss_D: -0.053185 Loss_G: 0.055675 Loss_D_real: -0.047150 Loss_D_fake 0.006035
[74/5000][410/535][7329] Loss_D: -0.053468 Loss_G: 0.005142 Loss_D_real: -0.012792 Loss_D_fake 0.040676
[74/5000][415/535][7330] Loss_D: -0.050435 Loss_G: 0.050159 Loss_D_real: -0.050864 Loss_D_fake -0.000429
[74/5000][420/535][7331] Loss_D: -0.054009 Loss_G: 0.015155 Loss_D_real: -0.020961 Loss_D_fake 0.033048
[74/5000][425/535][7332] Loss_D: -0.055853 Loss_G: 0.025683 Loss_D_real: -0.028957 Loss_D_fake 0.026896
[74/5000][430/535][7333] Loss_D: -0.054148 Loss_G: 0.009899 Loss_D_real: -0.016471 Loss_D_fake 0.037677
[74/5000][435/535][7334] Loss_D: -0.054348 Loss_G: 0.041316 Loss_D_real: -0.043092 Loss_D_fake 0.011256
[74/5000][440/535][7335] Loss_D: -0.057496 Loss_G: 0.021620 Loss_D_real: -0.030472 Loss_D_fake 0.027024
[74/5000][445/535][7336] Loss_D: -0.055102 Loss_G: 0.036628 Loss_D_real: -0.026803 Loss_D_fake 0.028299
[74/5000][450/535][7337] Loss_D: -0.053322 Loss_G: 0.008426 Loss_D_real: -0.018976 Loss_D_fake 0.034346
[74/5000][455/535][7338] Loss_D: -0.053407 Loss_G: 0.045075 Loss_D_real: -0.047751 Loss_D_fake 0.005657
[74/5000][460/535][7339] Loss_D: -0.056579 Loss_G: 0.050363 Loss_D_real: -0.043987 Loss_D_fake 0.012592
[74/5000][465/535][7340] Loss_D: -0.053653 Loss_G: 0.008534 Loss_D_real: -0.019544 Loss_D_fake 0.034109
[74/5000][470/535][7341] Loss_D: -0.053220 Loss_G: 0.046550 Loss_D_real: -0.042915 Loss_D_fake 0.010304
[74/5000][475/535][7342] Loss_D: -0.052001 Loss_G: 0.002186 Loss_D_real: -0.013465 Loss_D_fake 0.038535
[74/5000][480/535][7343] Loss_D: -0.050563 Loss_G: 0.049334 Loss_D_real: -0.046180 Loss_D_fake 0.004384
[74/5000][485/535][7344] Loss_D: -0.052224 Loss_G: 0.021935 Loss_D_real: -0.027381 Loss_D_fake 0.024842
[74/5000][490/535][7345] Loss_D: -0.054949 Loss_G: 0.045529 Loss_D_real: -0.045261 Loss_D_fake 0.009688
[74/5000][495/535][7346] Loss_D: -0.054787 Loss_G: 0.016202 Loss_D_real: -0.024851 Loss_D_fake 0.029936
[74/5000][500/535][7347] Loss_D: -0.053949 Loss_G: 0.044992 Loss_D_real: -0.045406 Loss_D_fake 0.008543
[74/5000][505/535][7348] Loss_D: -0.055278 Loss_G: 0.016450 Loss_D_real: -0.026502 Loss_D_fake 0.028776
[74/5000][510/535][7349] Loss_D: -0.055711 Loss_G: 0.044746 Loss_D_real: -0.042748 Loss_D_fake 0.012962
[74/5000][515/535][7350] Loss_D: -0.057124 Loss_G: 0.013374 Loss_D_real: -0.026092 Loss_D_fake 0.031031
[74/5000][520/535][7351] Loss_D: -0.054029 Loss_G: 0.054489 Loss_D_real: -0.055492 Loss_D_fake -0.001463
[74/5000][525/535][7352] Loss_D: -0.054010 Loss_G: 0.021737 Loss_D_real: -0.030643 Loss_D_fake 0.023367
[74/5000][530/535][7353] Loss_D: -0.053246 Loss_G: 0.047408 Loss_D_real: -0.043977 Loss_D_fake 0.009269
[74/5000][535/535][7354] Loss_D: -0.052758 Loss_G: 0.019779 Loss_D_real: -0.008629 Loss_D_fake 0.044128
[75/5000][5/535][7355] Loss_D: -0.052369 Loss_G: 0.036977 Loss_D_real: -0.038955 Loss_D_fake 0.013414
[75/5000][10/535][7356] Loss_D: -0.055835 Loss_G: 0.013268 Loss_D_real: -0.022401 Loss_D_fake 0.033434
[75/5000][15/535][7357] Loss_D: -0.055647 Loss_G: 0.052027 Loss_D_real: -0.044578 Loss_D_fake 0.011070
[75/5000][20/535][7358] Loss_D: -0.054575 Loss_G: 0.007940 Loss_D_real: -0.018432 Loss_D_fake 0.036144
[75/5000][25/535][7359] Loss_D: -0.054220 Loss_G: 0.045793 Loss_D_real: -0.046038 Loss_D_fake 0.008182
[75/5000][30/535][7360] Loss_D: -0.055285 Loss_G: 0.027996 Loss_D_real: -0.031906 Loss_D_fake 0.023379
[75/5000][35/535][7361] Loss_D: -0.056626 Loss_G: 0.037106 Loss_D_real: -0.041278 Loss_D_fake 0.015348
[75/5000][40/535][7362] Loss_D: -0.055889 Loss_G: 0.014101 Loss_D_real: -0.025961 Loss_D_fake 0.029929
[75/5000][45/535][7363] Loss_D: -0.056626 Loss_G: 0.052217 Loss_D_real: -0.052918 Loss_D_fake 0.003708
[75/5000][50/535][7364] Loss_D: -0.053033 Loss_G: 0.004232 Loss_D_real: -0.012959 Loss_D_fake 0.040074
[75/5000][55/535][7365] Loss_D: -0.053696 Loss_G: 0.029413 Loss_D_real: -0.028965 Loss_D_fake 0.024731
[75/5000][60/535][7366] Loss_D: -0.054082 Loss_G: 0.021605 Loss_D_real: -0.027894 Loss_D_fake 0.026188
[75/5000][65/535][7367] Loss_D: -0.054750 Loss_G: 0.043364 Loss_D_real: -0.042934 Loss_D_fake 0.011816
[75/5000][70/535][7368] Loss_D: -0.052807 Loss_G: 0.013338 Loss_D_real: -0.017299 Loss_D_fake 0.035509
[75/5000][75/535][7369] Loss_D: -0.054577 Loss_G: 0.026528 Loss_D_real: -0.032787 Loss_D_fake 0.021790
[75/5000][80/535][7370] Loss_D: -0.053448 Loss_G: 0.009962 Loss_D_real: -0.024092 Loss_D_fake 0.029356
[75/5000][85/535][7371] Loss_D: -0.053036 Loss_G: 0.048242 Loss_D_real: -0.040852 Loss_D_fake 0.012185
[75/5000][90/535][7372] Loss_D: -0.053402 Loss_G: 0.004065 Loss_D_real: -0.013885 Loss_D_fake 0.039517
[75/5000][95/535][7373] Loss_D: -0.052112 Loss_G: 0.019048 Loss_D_real: -0.032088 Loss_D_fake 0.020024
[75/5000][100/535][7374] Loss_D: -0.051388 Loss_G: 0.052765 Loss_D_real: -0.052640 Loss_D_fake -0.001251
[75/5000][105/535][7375] Loss_D: -0.053829 Loss_G: 0.000984 Loss_D_real: -0.011892 Loss_D_fake 0.041938
[75/5000][110/535][7376] Loss_D: -0.051591 Loss_G: 0.040165 Loss_D_real: -0.040181 Loss_D_fake 0.011410
[75/5000][115/535][7377] Loss_D: -0.053225 Loss_G: 0.016371 Loss_D_real: -0.025803 Loss_D_fake 0.027422
[75/5000][120/535][7378] Loss_D: -0.054244 Loss_G: 0.049202 Loss_D_real: -0.042909 Loss_D_fake 0.011334
[75/5000][125/535][7379] Loss_D: -0.055183 Loss_G: 0.027483 Loss_D_real: -0.030243 Loss_D_fake 0.024940
[75/5000][130/535][7380] Loss_D: -0.055708 Loss_G: 0.029596 Loss_D_real: -0.032267 Loss_D_fake 0.023441
[75/5000][135/535][7381] Loss_D: -0.056409 Loss_G: 0.032802 Loss_D_real: -0.034638 Loss_D_fake 0.021770
[75/5000][140/535][7382] Loss_D: -0.056870 Loss_G: 0.052998 Loss_D_real: -0.048289 Loss_D_fake 0.008581
[75/5000][145/535][7383] Loss_D: -0.052492 Loss_G: -0.012760 Loss_D_real: -0.003984 Loss_D_fake 0.048508
[75/5000][150/535][7384] Loss_D: -0.050914 Loss_G: 0.041457 Loss_D_real: -0.041646 Loss_D_fake 0.009268
[75/5000][155/535][7385] Loss_D: -0.054160 Loss_G: 0.029971 Loss_D_real: -0.030396 Loss_D_fake 0.023764
[75/5000][160/535][7386] Loss_D: -0.056523 Loss_G: 0.019124 Loss_D_real: -0.026574 Loss_D_fake 0.029948
[75/5000][165/535][7387] Loss_D: -0.051184 Loss_G: 0.062313 Loss_D_real: -0.059268 Loss_D_fake -0.008084
[75/5000][170/535][7388] Loss_D: -0.054444 Loss_G: 0.007337 Loss_D_real: -0.018519 Loss_D_fake 0.035924
[75/5000][175/535][7389] Loss_D: -0.054738 Loss_G: 0.035632 Loss_D_real: -0.036327 Loss_D_fake 0.018411
[75/5000][180/535][7390] Loss_D: -0.055062 Loss_G: 0.035690 Loss_D_real: -0.032894 Loss_D_fake 0.022168
[75/5000][185/535][7391] Loss_D: -0.055727 Loss_G: 0.040362 Loss_D_real: -0.037779 Loss_D_fake 0.017947
[75/5000][190/535][7392] Loss_D: -0.054414 Loss_G: -0.000846 Loss_D_real: -0.010172 Loss_D_fake 0.044243
[75/5000][195/535][7393] Loss_D: -0.054832 Loss_G: 0.047483 Loss_D_real: -0.044551 Loss_D_fake 0.010281
[75/5000][200/535][7394] Loss_D: -0.055864 Loss_G: 0.012187 Loss_D_real: -0.020482 Loss_D_fake 0.035382
[75/5000][205/535][7395] Loss_D: -0.054033 Loss_G: 0.050064 Loss_D_real: -0.045784 Loss_D_fake 0.008249
[75/5000][210/535][7396] Loss_D: -0.054140 Loss_G: 0.000694 Loss_D_real: -0.012141 Loss_D_fake 0.041999
[75/5000][215/535][7397] Loss_D: -0.053352 Loss_G: 0.031852 Loss_D_real: -0.034652 Loss_D_fake 0.018700
[75/5000][220/535][7398] Loss_D: -0.056518 Loss_G: 0.021099 Loss_D_real: -0.028978 Loss_D_fake 0.027541
[75/5000][225/535][7399] Loss_D: -0.053301 Loss_G: 0.056053 Loss_D_real: -0.049849 Loss_D_fake 0.003453
[75/5000][230/535][7400] Loss_D: -0.052063 Loss_G: 0.022301 Loss_D_real: -0.023528 Loss_D_fake 0.028535
[75/5000][235/535][7401] Loss_D: -0.053668 Loss_G: 0.019159 Loss_D_real: -0.024144 Loss_D_fake 0.029524
[75/5000][240/535][7402] Loss_D: -0.053802 Loss_G: 0.049704 Loss_D_real: -0.040664 Loss_D_fake 0.013138
[75/5000][245/535][7403] Loss_D: -0.051735 Loss_G: 0.005056 Loss_D_real: -0.013547 Loss_D_fake 0.038188
[75/5000][250/535][7404] Loss_D: -0.051360 Loss_G: 0.049713 Loss_D_real: -0.050093 Loss_D_fake 0.001267
[75/5000][255/535][7405] Loss_D: -0.053264 Loss_G: 0.018697 Loss_D_real: -0.027036 Loss_D_fake 0.026228
[75/5000][260/535][7406] Loss_D: -0.054780 Loss_G: 0.039941 Loss_D_real: -0.038085 Loss_D_fake 0.016696
[75/5000][265/535][7407] Loss_D: -0.056409 Loss_G: 0.029029 Loss_D_real: -0.031567 Loss_D_fake 0.024842
[75/5000][270/535][7408] Loss_D: -0.053371 Loss_G: 0.049729 Loss_D_real: -0.051842 Loss_D_fake 0.001529
[75/5000][275/535][7409] Loss_D: -0.054749 Loss_G: 0.031078 Loss_D_real: -0.036066 Loss_D_fake 0.018683
[75/5000][280/535][7410] Loss_D: -0.055748 Loss_G: 0.040264 Loss_D_real: -0.036259 Loss_D_fake 0.019490
[75/5000][285/535][7411] Loss_D: -0.054235 Loss_G: 0.021941 Loss_D_real: -0.023677 Loss_D_fake 0.030558
[75/5000][290/535][7412] Loss_D: -0.056511 Loss_G: 0.036605 Loss_D_real: -0.044060 Loss_D_fake 0.012450
[75/5000][295/535][7413] Loss_D: -0.053893 Loss_G: 0.020594 Loss_D_real: -0.024328 Loss_D_fake 0.029565
[75/5000][300/535][7414] Loss_D: -0.052197 Loss_G: 0.054748 Loss_D_real: -0.053770 Loss_D_fake -0.001573
[75/5000][305/535][7415] Loss_D: -0.052442 Loss_G: 0.003414 Loss_D_real: -0.012681 Loss_D_fake 0.039761
[75/5000][310/535][7416] Loss_D: -0.052154 Loss_G: 0.035717 Loss_D_real: -0.041519 Loss_D_fake 0.010636
[75/5000][315/535][7417] Loss_D: -0.052256 Loss_G: 0.008722 Loss_D_real: -0.024614 Loss_D_fake 0.027642
[75/5000][320/535][7418] Loss_D: -0.051730 Loss_G: 0.042391 Loss_D_real: -0.044760 Loss_D_fake 0.006969
[75/5000][325/535][7419] Loss_D: -0.052479 Loss_G: 0.031185 Loss_D_real: -0.028743 Loss_D_fake 0.023736
[75/5000][330/535][7420] Loss_D: -0.052557 Loss_G: 0.026258 Loss_D_real: -0.030684 Loss_D_fake 0.021873
[75/5000][335/535][7421] Loss_D: -0.053509 Loss_G: 0.025594 Loss_D_real: -0.035519 Loss_D_fake 0.017990
[75/5000][340/535][7422] Loss_D: -0.053007 Loss_G: 0.045110 Loss_D_real: -0.039058 Loss_D_fake 0.013949
[75/5000][345/535][7423] Loss_D: -0.050716 Loss_G: 0.005553 Loss_D_real: -0.009991 Loss_D_fake 0.040725
[75/5000][350/535][7424] Loss_D: -0.052260 Loss_G: 0.027797 Loss_D_real: -0.026854 Loss_D_fake 0.025406
[75/5000][355/535][7425] Loss_D: -0.052463 Loss_G: 0.020924 Loss_D_real: -0.027046 Loss_D_fake 0.025417
[75/5000][360/535][7426] Loss_D: -0.053032 Loss_G: 0.029717 Loss_D_real: -0.028886 Loss_D_fake 0.024145
[75/5000][365/535][7427] Loss_D: -0.050537 Loss_G: 0.014667 Loss_D_real: -0.022029 Loss_D_fake 0.028508
[75/5000][370/535][7428] Loss_D: -0.054383 Loss_G: 0.038825 Loss_D_real: -0.037897 Loss_D_fake 0.016486
[75/5000][375/535][7429] Loss_D: -0.052353 Loss_G: 0.022527 Loss_D_real: -0.028179 Loss_D_fake 0.024174
[75/5000][380/535][7430] Loss_D: -0.051121 Loss_G: 0.057882 Loss_D_real: -0.048420 Loss_D_fake 0.002701
[75/5000][385/535][7431] Loss_D: -0.053830 Loss_G: 0.036557 Loss_D_real: -0.033904 Loss_D_fake 0.019926
[75/5000][390/535][7432] Loss_D: -0.054868 Loss_G: 0.048284 Loss_D_real: -0.046785 Loss_D_fake 0.008083
[75/5000][395/535][7433] Loss_D: -0.052053 Loss_G: -0.005342 Loss_D_real: -0.005294 Loss_D_fake 0.046759
[75/5000][400/535][7434] Loss_D: -0.053197 Loss_G: 0.050231 Loss_D_real: -0.050706 Loss_D_fake 0.002490
[75/5000][405/535][7435] Loss_D: -0.056156 Loss_G: 0.019443 Loss_D_real: -0.027883 Loss_D_fake 0.028273
[75/5000][410/535][7436] Loss_D: -0.055704 Loss_G: 0.038343 Loss_D_real: -0.042796 Loss_D_fake 0.012908
[75/5000][415/535][7437] Loss_D: -0.053831 Loss_G: 0.054435 Loss_D_real: -0.047642 Loss_D_fake 0.006188
[75/5000][420/535][7438] Loss_D: -0.053105 Loss_G: 0.009591 Loss_D_real: -0.015059 Loss_D_fake 0.038045
[75/5000][425/535][7439] Loss_D: -0.054348 Loss_G: 0.043242 Loss_D_real: -0.040255 Loss_D_fake 0.014093
[75/5000][430/535][7440] Loss_D: -0.056344 Loss_G: 0.012988 Loss_D_real: -0.022869 Loss_D_fake 0.033476
[75/5000][435/535][7441] Loss_D: -0.053304 Loss_G: 0.047163 Loss_D_real: -0.046491 Loss_D_fake 0.006813
[75/5000][440/535][7442] Loss_D: -0.054832 Loss_G: -0.004364 Loss_D_real: -0.011735 Loss_D_fake 0.043098
[75/5000][445/535][7443] Loss_D: -0.052326 Loss_G: 0.050064 Loss_D_real: -0.047419 Loss_D_fake 0.004907
[75/5000][450/535][7444] Loss_D: -0.054450 Loss_G: 0.035434 Loss_D_real: -0.036558 Loss_D_fake 0.017892
[75/5000][455/535][7445] Loss_D: -0.053370 Loss_G: 0.047418 Loss_D_real: -0.046201 Loss_D_fake 0.007169
[75/5000][460/535][7446] Loss_D: -0.056051 Loss_G: 0.029118 Loss_D_real: -0.029884 Loss_D_fake 0.026168
[75/5000][465/535][7447] Loss_D: -0.055464 Loss_G: 0.047580 Loss_D_real: -0.040221 Loss_D_fake 0.015243
[75/5000][470/535][7448] Loss_D: -0.054902 Loss_G: 0.023002 Loss_D_real: -0.027322 Loss_D_fake 0.027580
[75/5000][475/535][7449] Loss_D: -0.049729 Loss_G: 0.054820 Loss_D_real: -0.051374 Loss_D_fake -0.001645
[75/5000][480/535][7450] Loss_D: -0.055880 Loss_G: 0.008910 Loss_D_real: -0.016584 Loss_D_fake 0.039296
[75/5000][485/535][7451] Loss_D: -0.053022 Loss_G: 0.037674 Loss_D_real: -0.035271 Loss_D_fake 0.017750
[75/5000][490/535][7452] Loss_D: -0.052665 Loss_G: 0.015434 Loss_D_real: -0.025833 Loss_D_fake 0.026832
[75/5000][495/535][7453] Loss_D: -0.053821 Loss_G: 0.050960 Loss_D_real: -0.045420 Loss_D_fake 0.008401
[75/5000][500/535][7454] Loss_D: -0.055309 Loss_G: 0.022692 Loss_D_real: -0.031229 Loss_D_fake 0.024080
[75/5000][505/535][7455] Loss_D: -0.054087 Loss_G: 0.050997 Loss_D_real: -0.046104 Loss_D_fake 0.007983
[75/5000][510/535][7456] Loss_D: -0.051906 Loss_G: 0.003828 Loss_D_real: -0.019342 Loss_D_fake 0.032564
[75/5000][515/535][7457] Loss_D: -0.052335 Loss_G: 0.045741 Loss_D_real: -0.044184 Loss_D_fake 0.008151
[75/5000][520/535][7458] Loss_D: -0.052946 Loss_G: 0.001589 Loss_D_real: -0.007485 Loss_D_fake 0.045461
[75/5000][525/535][7459] Loss_D: -0.053098 Loss_G: 0.036221 Loss_D_real: -0.036392 Loss_D_fake 0.016707
[75/5000][530/535][7460] Loss_D: -0.055411 Loss_G: 0.030798 Loss_D_real: -0.032654 Loss_D_fake 0.022756
[75/5000][535/535][7461] Loss_D: -0.055199 Loss_G: 0.032833 Loss_D_real: -0.042348 Loss_D_fake 0.012850
[76/5000][5/535][7462] Loss_D: -0.057528 Loss_G: 0.013440 Loss_D_real: -0.025946 Loss_D_fake 0.031582
[76/5000][10/535][7463] Loss_D: -0.055357 Loss_G: 0.057350 Loss_D_real: -0.059977 Loss_D_fake -0.004620
[76/5000][15/535][7464] Loss_D: -0.053888 Loss_G: 0.011730 Loss_D_real: -0.020776 Loss_D_fake 0.033112
[76/5000][20/535][7465] Loss_D: -0.055976 Loss_G: 0.043732 Loss_D_real: -0.040078 Loss_D_fake 0.015899
[76/5000][25/535][7466] Loss_D: -0.055800 Loss_G: 0.024326 Loss_D_real: -0.032373 Loss_D_fake 0.023427
[76/5000][30/535][7467] Loss_D: -0.057114 Loss_G: 0.039935 Loss_D_real: -0.042536 Loss_D_fake 0.014578
[76/5000][35/535][7468] Loss_D: -0.053044 Loss_G: 0.010108 Loss_D_real: -0.023224 Loss_D_fake 0.029820
[76/5000][40/535][7469] Loss_D: -0.054621 Loss_G: 0.039881 Loss_D_real: -0.044428 Loss_D_fake 0.010193
[76/5000][45/535][7470] Loss_D: -0.053460 Loss_G: 0.003801 Loss_D_real: -0.014083 Loss_D_fake 0.039376
[76/5000][50/535][7471] Loss_D: -0.055700 Loss_G: 0.030266 Loss_D_real: -0.036700 Loss_D_fake 0.019000
[76/5000][55/535][7472] Loss_D: -0.056658 Loss_G: 0.023929 Loss_D_real: -0.028319 Loss_D_fake 0.028339
[76/5000][60/535][7473] Loss_D: -0.052900 Loss_G: 0.041135 Loss_D_real: -0.040756 Loss_D_fake 0.012144
[76/5000][65/535][7474] Loss_D: -0.053016 Loss_G: 0.001713 Loss_D_real: -0.011240 Loss_D_fake 0.041776
[76/5000][70/535][7475] Loss_D: -0.051392 Loss_G: 0.023926 Loss_D_real: -0.027316 Loss_D_fake 0.024076
[76/5000][75/535][7476] Loss_D: -0.050841 Loss_G: 0.012536 Loss_D_real: -0.020266 Loss_D_fake 0.030575
[76/5000][80/535][7477] Loss_D: -0.051569 Loss_G: 0.035682 Loss_D_real: -0.035313 Loss_D_fake 0.016257
[76/5000][85/535][7478] Loss_D: -0.051578 Loss_G: 0.013259 Loss_D_real: -0.017806 Loss_D_fake 0.033773
[76/5000][90/535][7479] Loss_D: -0.051048 Loss_G: 0.038811 Loss_D_real: -0.036404 Loss_D_fake 0.014645
[76/5000][95/535][7480] Loss_D: -0.052919 Loss_G: 0.016017 Loss_D_real: -0.021865 Loss_D_fake 0.031054
[76/5000][100/535][7481] Loss_D: -0.051944 Loss_G: 0.049637 Loss_D_real: -0.045797 Loss_D_fake 0.006147
[76/5000][105/535][7482] Loss_D: -0.054472 Loss_G: 0.024806 Loss_D_real: -0.029882 Loss_D_fake 0.024589
[76/5000][110/535][7483] Loss_D: -0.051674 Loss_G: 0.035520 Loss_D_real: -0.038574 Loss_D_fake 0.013101
[76/5000][115/535][7484] Loss_D: -0.056156 Loss_G: 0.022772 Loss_D_real: -0.029767 Loss_D_fake 0.026390
[76/5000][120/535][7485] Loss_D: -0.055456 Loss_G: 0.030485 Loss_D_real: -0.030892 Loss_D_fake 0.024564
[76/5000][125/535][7486] Loss_D: -0.051658 Loss_G: 0.066310 Loss_D_real: -0.059760 Loss_D_fake -0.008103
[76/5000][130/535][7487] Loss_D: -0.050872 Loss_G: -0.001306 Loss_D_real: -0.007263 Loss_D_fake 0.043609
[76/5000][135/535][7488] Loss_D: -0.052788 Loss_G: 0.048789 Loss_D_real: -0.049176 Loss_D_fake 0.003612
[76/5000][140/535][7489] Loss_D: -0.055194 Loss_G: 0.016443 Loss_D_real: -0.023610 Loss_D_fake 0.031584
[76/5000][145/535][7490] Loss_D: -0.055506 Loss_G: 0.045178 Loss_D_real: -0.041509 Loss_D_fake 0.013996
[76/5000][150/535][7491] Loss_D: -0.054948 Loss_G: 0.010719 Loss_D_real: -0.023239 Loss_D_fake 0.031709
[76/5000][155/535][7492] Loss_D: -0.050865 Loss_G: 0.060145 Loss_D_real: -0.060260 Loss_D_fake -0.009395
[76/5000][160/535][7493] Loss_D: -0.053441 Loss_G: 0.019815 Loss_D_real: -0.025804 Loss_D_fake 0.027637
[76/5000][165/535][7494] Loss_D: -0.053402 Loss_G: 0.048627 Loss_D_real: -0.050412 Loss_D_fake 0.002990
[76/5000][170/535][7495] Loss_D: -0.056256 Loss_G: 0.025623 Loss_D_real: -0.027708 Loss_D_fake 0.028548
[76/5000][175/535][7496] Loss_D: -0.056263 Loss_G: 0.003621 Loss_D_real: -0.014432 Loss_D_fake 0.041832
[76/5000][180/535][7497] Loss_D: -0.052530 Loss_G: 0.059661 Loss_D_real: -0.052407 Loss_D_fake 0.000124
[76/5000][185/535][7498] Loss_D: -0.052737 Loss_G: 0.007710 Loss_D_real: -0.021955 Loss_D_fake 0.030782
[76/5000][190/535][7499] Loss_D: -0.054395 Loss_G: 0.046363 Loss_D_real: -0.045388 Loss_D_fake 0.009007
[76/5000][195/535][7500] Loss_D: -0.055661 Loss_G: 0.032206 Loss_D_real: -0.035059 Loss_D_fake 0.020602
[76/5000][295/535][7501] Loss_D: -0.058640 Loss_G: 0.018401 Loss_D_real: -0.027666 Loss_D_fake 0.030974
[76/5000][300/535][7502] Loss_D: -0.057180 Loss_G: 0.017853 Loss_D_real: -0.024021 Loss_D_fake 0.033159
[76/5000][305/535][7503] Loss_D: -0.049910 Loss_G: 0.026394 Loss_D_real: -0.031798 Loss_D_fake 0.018113
[76/5000][310/535][7504] Loss_D: -0.053601 Loss_G: 0.035927 Loss_D_real: -0.039718 Loss_D_fake 0.013884
[76/5000][315/535][7505] Loss_D: -0.054454 Loss_G: 0.019231 Loss_D_real: -0.027239 Loss_D_fake 0.027215
[76/5000][320/535][7506] Loss_D: -0.054572 Loss_G: 0.040964 Loss_D_real: -0.041100 Loss_D_fake 0.013472
[76/5000][325/535][7507] Loss_D: -0.051518 Loss_G: 0.026848 Loss_D_real: -0.028311 Loss_D_fake 0.023207
[76/5000][330/535][7508] Loss_D: -0.055373 Loss_G: 0.031051 Loss_D_real: -0.032237 Loss_D_fake 0.023136
[76/5000][335/535][7509] Loss_D: -0.053644 Loss_G: 0.033871 Loss_D_real: -0.036992 Loss_D_fake 0.016652
[76/5000][340/535][7510] Loss_D: -0.055438 Loss_G: 0.038959 Loss_D_real: -0.036640 Loss_D_fake 0.018799
[76/5000][345/535][7511] Loss_D: -0.054436 Loss_G: 0.023811 Loss_D_real: -0.027691 Loss_D_fake 0.026745
[76/5000][350/535][7512] Loss_D: -0.054416 Loss_G: 0.043875 Loss_D_real: -0.039716 Loss_D_fake 0.014699
[76/5000][355/535][7513] Loss_D: -0.054292 Loss_G: 0.004483 Loss_D_real: -0.017346 Loss_D_fake 0.036946
[76/5000][360/535][7514] Loss_D: -0.053314 Loss_G: 0.039862 Loss_D_real: -0.040237 Loss_D_fake 0.013076
[76/5000][365/535][7515] Loss_D: -0.054056 Loss_G: 0.018310 Loss_D_real: -0.021669 Loss_D_fake 0.032387
[76/5000][370/535][7516] Loss_D: -0.054051 Loss_G: 0.048492 Loss_D_real: -0.050130 Loss_D_fake 0.003922
[76/5000][375/535][7517] Loss_D: -0.052375 Loss_G: 0.017192 Loss_D_real: -0.017275 Loss_D_fake 0.035101
[76/5000][380/535][7518] Loss_D: -0.051872 Loss_G: 0.040106 Loss_D_real: -0.042616 Loss_D_fake 0.009256
[76/5000][385/535][7519] Loss_D: -0.052866 Loss_G: 0.013385 Loss_D_real: -0.022608 Loss_D_fake 0.030257
[76/5000][390/535][7520] Loss_D: -0.051948 Loss_G: 0.052863 Loss_D_real: -0.054734 Loss_D_fake -0.002786
[76/5000][395/535][7521] Loss_D: -0.052768 Loss_G: 0.030663 Loss_D_real: -0.029050 Loss_D_fake 0.023717
[76/5000][400/535][7522] Loss_D: -0.053152 Loss_G: 0.015328 Loss_D_real: -0.022739 Loss_D_fake 0.030414
[76/5000][405/535][7523] Loss_D: -0.054714 Loss_G: 0.038347 Loss_D_real: -0.042581 Loss_D_fake 0.012133
[76/5000][410/535][7524] Loss_D: -0.055184 Loss_G: 0.038686 Loss_D_real: -0.041540 Loss_D_fake 0.013644
[76/5000][415/535][7525] Loss_D: -0.055738 Loss_G: 0.025452 Loss_D_real: -0.030113 Loss_D_fake 0.025626
[76/5000][420/535][7526] Loss_D: -0.052271 Loss_G: 0.046628 Loss_D_real: -0.045809 Loss_D_fake 0.006461
[76/5000][425/535][7527] Loss_D: -0.051418 Loss_G: 0.005374 Loss_D_real: -0.011115 Loss_D_fake 0.040303
[76/5000][430/535][7528] Loss_D: -0.051257 Loss_G: 0.037432 Loss_D_real: -0.041029 Loss_D_fake 0.010228
[76/5000][435/535][7529] Loss_D: -0.051584 Loss_G: 0.018206 Loss_D_real: -0.017397 Loss_D_fake 0.034187
[76/5000][440/535][7530] Loss_D: -0.053049 Loss_G: 0.039262 Loss_D_real: -0.040701 Loss_D_fake 0.012348
[76/5000][445/535][7531] Loss_D: -0.053750 Loss_G: 0.016273 Loss_D_real: -0.018698 Loss_D_fake 0.035052
[76/5000][450/535][7532] Loss_D: -0.052005 Loss_G: 0.048473 Loss_D_real: -0.046789 Loss_D_fake 0.005216
[76/5000][455/535][7533] Loss_D: -0.055462 Loss_G: 0.009750 Loss_D_real: -0.021129 Loss_D_fake 0.034332
[76/5000][460/535][7534] Loss_D: -0.053647 Loss_G: 0.054053 Loss_D_real: -0.052848 Loss_D_fake 0.000799
[76/5000][465/535][7535] Loss_D: -0.054618 Loss_G: 0.013255 Loss_D_real: -0.022482 Loss_D_fake 0.032136
[76/5000][470/535][7536] Loss_D: -0.053916 Loss_G: 0.040732 Loss_D_real: -0.037549 Loss_D_fake 0.016367
[76/5000][475/535][7537] Loss_D: -0.054008 Loss_G: 0.027723 Loss_D_real: -0.023304 Loss_D_fake 0.030704
[76/5000][480/535][7538] Loss_D: -0.055493 Loss_G: 0.050375 Loss_D_real: -0.043558 Loss_D_fake 0.011934
[76/5000][485/535][7539] Loss_D: -0.053484 Loss_G: 0.035421 Loss_D_real: -0.033716 Loss_D_fake 0.019768
[76/5000][490/535][7540] Loss_D: -0.057490 Loss_G: 0.033000 Loss_D_real: -0.032871 Loss_D_fake 0.024619
[76/5000][495/535][7541] Loss_D: -0.054858 Loss_G: 0.044497 Loss_D_real: -0.038249 Loss_D_fake 0.016609
[76/5000][500/535][7542] Loss_D: -0.055446 Loss_G: 0.040396 Loss_D_real: -0.037575 Loss_D_fake 0.017871
[76/5000][505/535][7543] Loss_D: -0.054082 Loss_G: 0.030693 Loss_D_real: -0.031332 Loss_D_fake 0.022750
[76/5000][510/535][7544] Loss_D: -0.052952 Loss_G: 0.021704 Loss_D_real: -0.026447 Loss_D_fake 0.026505
[76/5000][515/535][7545] Loss_D: -0.051468 Loss_G: 0.049049 Loss_D_real: -0.044825 Loss_D_fake 0.006643
[76/5000][520/535][7546] Loss_D: -0.053085 Loss_G: 0.015706 Loss_D_real: -0.026275 Loss_D_fake 0.026810
[76/5000][525/535][7547] Loss_D: -0.054456 Loss_G: 0.047657 Loss_D_real: -0.042432 Loss_D_fake 0.012025
[76/5000][530/535][7548] Loss_D: -0.054342 Loss_G: 0.005120 Loss_D_real: -0.019468 Loss_D_fake 0.034873
[76/5000][535/535][7549] Loss_D: -0.050665 Loss_G: 0.039278 Loss_D_real: -0.046477 Loss_D_fake 0.004188
[77/5000][5/535][7550] Loss_D: -0.056104 Loss_G: 0.044648 Loss_D_real: -0.047641 Loss_D_fake 0.008463
[77/5000][10/535][7551] Loss_D: -0.054087 Loss_G: -0.007150 Loss_D_real: -0.008561 Loss_D_fake 0.045526
[77/5000][15/535][7552] Loss_D: -0.051095 Loss_G: 0.045385 Loss_D_real: -0.046960 Loss_D_fake 0.004136
[77/5000][20/535][7553] Loss_D: -0.055641 Loss_G: 0.002326 Loss_D_real: -0.016856 Loss_D_fake 0.038786
[77/5000][25/535][7554] Loss_D: -0.052946 Loss_G: 0.045726 Loss_D_real: -0.045918 Loss_D_fake 0.007028
[77/5000][30/535][7555] Loss_D: -0.052118 Loss_G: 0.007803 Loss_D_real: -0.012047 Loss_D_fake 0.040071
[77/5000][35/535][7556] Loss_D: -0.051921 Loss_G: 0.036263 Loss_D_real: -0.039410 Loss_D_fake 0.012511
[77/5000][40/535][7557] Loss_D: -0.053275 Loss_G: 0.023958 Loss_D_real: -0.025509 Loss_D_fake 0.027766
[77/5000][45/535][7558] Loss_D: -0.053102 Loss_G: 0.030929 Loss_D_real: -0.028441 Loss_D_fake 0.024661
[77/5000][50/535][7559] Loss_D: -0.054965 Loss_G: 0.020181 Loss_D_real: -0.023757 Loss_D_fake 0.031208
[77/5000][55/535][7560] Loss_D: -0.055600 Loss_G: 0.031357 Loss_D_real: -0.031587 Loss_D_fake 0.024014
[77/5000][60/535][7561] Loss_D: -0.054135 Loss_G: 0.014253 Loss_D_real: -0.020477 Loss_D_fake 0.033658
[77/5000][65/535][7562] Loss_D: -0.052798 Loss_G: 0.038607 Loss_D_real: -0.036287 Loss_D_fake 0.016510
[77/5000][70/535][7563] Loss_D: -0.054336 Loss_G: -0.003838 Loss_D_real: -0.010611 Loss_D_fake 0.043725
[77/5000][75/535][7564] Loss_D: -0.050002 Loss_G: 0.051915 Loss_D_real: -0.052381 Loss_D_fake -0.002379
[77/5000][80/535][7565] Loss_D: -0.051188 Loss_G: 0.017045 Loss_D_real: -0.017384 Loss_D_fake 0.033804
[77/5000][85/535][7566] Loss_D: -0.052949 Loss_G: 0.040800 Loss_D_real: -0.040296 Loss_D_fake 0.012653
[77/5000][90/535][7567] Loss_D: -0.053751 Loss_G: 0.022545 Loss_D_real: -0.024907 Loss_D_fake 0.028845
[77/5000][95/535][7568] Loss_D: -0.053440 Loss_G: 0.044317 Loss_D_real: -0.043921 Loss_D_fake 0.009519
[77/5000][100/535][7569] Loss_D: -0.054091 Loss_G: 0.012459 Loss_D_real: -0.022318 Loss_D_fake 0.031773
[77/5000][105/535][7570] Loss_D: -0.054338 Loss_G: 0.049005 Loss_D_real: -0.041662 Loss_D_fake 0.012676
[77/5000][110/535][7571] Loss_D: -0.051004 Loss_G: -0.008156 Loss_D_real: -0.003734 Loss_D_fake 0.047270
[77/5000][115/535][7572] Loss_D: -0.050038 Loss_G: 0.038800 Loss_D_real: -0.042525 Loss_D_fake 0.007514
[77/5000][120/535][7573] Loss_D: -0.053892 Loss_G: 0.014517 Loss_D_real: -0.020766 Loss_D_fake 0.033126
[77/5000][125/535][7574] Loss_D: -0.053080 Loss_G: 0.042751 Loss_D_real: -0.041908 Loss_D_fake 0.011171
[77/5000][130/535][7575] Loss_D: -0.053335 Loss_G: 0.047500 Loss_D_real: -0.047121 Loss_D_fake 0.006214
[77/5000][135/535][7576] Loss_D: -0.055656 Loss_G: 0.036985 Loss_D_real: -0.035753 Loss_D_fake 0.019904
[77/5000][140/535][7577] Loss_D: -0.055927 Loss_G: 0.016991 Loss_D_real: -0.023853 Loss_D_fake 0.032074
[77/5000][145/535][7578] Loss_D: -0.058473 Loss_G: 0.045093 Loss_D_real: -0.049496 Loss_D_fake 0.008977
[77/5000][150/535][7579] Loss_D: -0.056790 Loss_G: 0.001751 Loss_D_real: -0.014497 Loss_D_fake 0.042294
[77/5000][155/535][7580] Loss_D: -0.058464 Loss_G: 0.035894 Loss_D_real: -0.037524 Loss_D_fake 0.020940
[77/5000][160/535][7581] Loss_D: -0.055848 Loss_G: 0.020737 Loss_D_real: -0.022708 Loss_D_fake 0.033140
[77/5000][165/535][7582] Loss_D: -0.054806 Loss_G: 0.038798 Loss_D_real: -0.038330 Loss_D_fake 0.016476
[77/5000][170/535][7583] Loss_D: -0.055500 Loss_G: 0.018891 Loss_D_real: -0.024257 Loss_D_fake 0.031244
[77/5000][175/535][7584] Loss_D: -0.053799 Loss_G: 0.040290 Loss_D_real: -0.038286 Loss_D_fake 0.015512
[77/5000][180/535][7585] Loss_D: -0.053847 Loss_G: 0.005822 Loss_D_real: -0.018814 Loss_D_fake 0.035033
[77/5000][185/535][7586] Loss_D: -0.050488 Loss_G: 0.042157 Loss_D_real: -0.040322 Loss_D_fake 0.010166
[77/5000][190/535][7587] Loss_D: -0.050215 Loss_G: 0.022694 Loss_D_real: -0.026675 Loss_D_fake 0.023541
[77/5000][195/535][7588] Loss_D: -0.051646 Loss_G: 0.032586 Loss_D_real: -0.036693 Loss_D_fake 0.014952
[77/5000][200/535][7589] Loss_D: -0.052911 Loss_G: 0.033124 Loss_D_real: -0.034448 Loss_D_fake 0.018463
[77/5000][205/535][7590] Loss_D: -0.052417 Loss_G: 0.013424 Loss_D_real: -0.019701 Loss_D_fake 0.032716
[77/5000][210/535][7591] Loss_D: -0.049919 Loss_G: 0.046360 Loss_D_real: -0.047602 Loss_D_fake 0.002317
[77/5000][215/535][7592] Loss_D: -0.053013 Loss_G: 0.036952 Loss_D_real: -0.030362 Loss_D_fake 0.022651
[77/5000][220/535][7593] Loss_D: -0.055550 Loss_G: 0.053764 Loss_D_real: -0.044790 Loss_D_fake 0.010760
[77/5000][225/535][7594] Loss_D: -0.054604 Loss_G: 0.019845 Loss_D_real: -0.027668 Loss_D_fake 0.026937
[77/5000][230/535][7595] Loss_D: -0.049661 Loss_G: 0.062926 Loss_D_real: -0.054904 Loss_D_fake -0.005243
[77/5000][235/535][7596] Loss_D: -0.052999 Loss_G: 0.000251 Loss_D_real: -0.004986 Loss_D_fake 0.048013
[77/5000][240/535][7597] Loss_D: -0.053318 Loss_G: 0.039249 Loss_D_real: -0.035918 Loss_D_fake 0.017400
[77/5000][245/535][7598] Loss_D: -0.053148 Loss_G: 0.029468 Loss_D_real: -0.034532 Loss_D_fake 0.018616
[77/5000][250/535][7599] Loss_D: -0.056353 Loss_G: 0.048184 Loss_D_real: -0.038561 Loss_D_fake 0.017793
[77/5000][255/535][7600] Loss_D: -0.055048 Loss_G: 0.024667 Loss_D_real: -0.024744 Loss_D_fake 0.030304
[77/5000][260/535][7601] Loss_D: -0.053466 Loss_G: 0.052660 Loss_D_real: -0.044599 Loss_D_fake 0.008867
[77/5000][265/535][7602] Loss_D: -0.051580 Loss_G: -0.012133 Loss_D_real: -0.002144 Loss_D_fake 0.049436
[77/5000][270/535][7603] Loss_D: -0.050680 Loss_G: 0.034485 Loss_D_real: -0.039132 Loss_D_fake 0.011547
[77/5000][275/535][7604] Loss_D: -0.052958 Loss_G: 0.044118 Loss_D_real: -0.043800 Loss_D_fake 0.009158
[77/5000][280/535][7605] Loss_D: -0.056115 Loss_G: 0.034816 Loss_D_real: -0.035242 Loss_D_fake 0.020874
[77/5000][285/535][7606] Loss_D: -0.054327 Loss_G: 0.056564 Loss_D_real: -0.050131 Loss_D_fake 0.004197
[77/5000][290/535][7607] Loss_D: -0.052303 Loss_G: 0.004842 Loss_D_real: -0.015077 Loss_D_fake 0.037226
[77/5000][295/535][7608] Loss_D: -0.048037 Loss_G: 0.054148 Loss_D_real: -0.049696 Loss_D_fake -0.001659
[77/5000][300/535][7609] Loss_D: -0.053219 Loss_G: 0.014328 Loss_D_real: -0.018935 Loss_D_fake 0.034285
[77/5000][305/535][7610] Loss_D: -0.051835 Loss_G: 0.056121 Loss_D_real: -0.051502 Loss_D_fake 0.000333
[77/5000][310/535][7611] Loss_D: -0.052799 Loss_G: 0.008224 Loss_D_real: -0.011715 Loss_D_fake 0.041085
[77/5000][315/535][7612] Loss_D: -0.052956 Loss_G: 0.029575 Loss_D_real: -0.032876 Loss_D_fake 0.020080
[77/5000][320/535][7613] Loss_D: -0.055188 Loss_G: 0.017355 Loss_D_real: -0.020229 Loss_D_fake 0.034959
[77/5000][325/535][7614] Loss_D: -0.053086 Loss_G: 0.036427 Loss_D_real: -0.036310 Loss_D_fake 0.016776
[77/5000][330/535][7615] Loss_D: -0.055241 Loss_G: 0.042495 Loss_D_real: -0.036149 Loss_D_fake 0.019092
[77/5000][335/535][7616] Loss_D: -0.054930 Loss_G: 0.032740 Loss_D_real: -0.036399 Loss_D_fake 0.018531
[77/5000][340/535][7617] Loss_D: -0.056411 Loss_G: 0.021095 Loss_D_real: -0.031408 Loss_D_fake 0.025002
[77/5000][345/535][7618] Loss_D: -0.055011 Loss_G: 0.024430 Loss_D_real: -0.026358 Loss_D_fake 0.028653
[77/5000][350/535][7619] Loss_D: -0.051078 Loss_G: 0.054141 Loss_D_real: -0.045049 Loss_D_fake 0.006029
[77/5000][355/535][7620] Loss_D: -0.051419 Loss_G: 0.001806 Loss_D_real: -0.011416 Loss_D_fake 0.040003
[77/5000][360/535][7621] Loss_D: -0.052828 Loss_G: 0.050898 Loss_D_real: -0.040591 Loss_D_fake 0.012237
[77/5000][365/535][7622] Loss_D: -0.054411 Loss_G: 0.008726 Loss_D_real: -0.020758 Loss_D_fake 0.033653
[77/5000][370/535][7623] Loss_D: -0.050082 Loss_G: 0.049846 Loss_D_real: -0.049857 Loss_D_fake 0.000224
[77/5000][375/535][7624] Loss_D: -0.052259 Loss_G: -0.000394 Loss_D_real: -0.007615 Loss_D_fake 0.044644
[77/5000][380/535][7625] Loss_D: -0.049883 Loss_G: 0.036851 Loss_D_real: -0.036684 Loss_D_fake 0.013199
[77/5000][385/535][7626] Loss_D: -0.051071 Loss_G: 0.001967 Loss_D_real: -0.010641 Loss_D_fake 0.040430
[77/5000][390/535][7627] Loss_D: -0.052416 Loss_G: 0.043441 Loss_D_real: -0.046544 Loss_D_fake 0.005873
[77/5000][395/535][7628] Loss_D: -0.052200 Loss_G: 0.010112 Loss_D_real: -0.017456 Loss_D_fake 0.034744
[77/5000][400/535][7629] Loss_D: -0.053175 Loss_G: 0.045892 Loss_D_real: -0.044079 Loss_D_fake 0.009096
[77/5000][405/535][7630] Loss_D: -0.053872 Loss_G: 0.039819 Loss_D_real: -0.032918 Loss_D_fake 0.020954
[77/5000][410/535][7631] Loss_D: -0.053149 Loss_G: 0.000001 Loss_D_real: -0.010988 Loss_D_fake 0.042162
[77/5000][415/535][7632] Loss_D: -0.051370 Loss_G: 0.034127 Loss_D_real: -0.033713 Loss_D_fake 0.017657
[77/5000][420/535][7633] Loss_D: -0.052960 Loss_G: 0.033613 Loss_D_real: -0.038552 Loss_D_fake 0.014408
[77/5000][425/535][7634] Loss_D: -0.057746 Loss_G: 0.031335 Loss_D_real: -0.031788 Loss_D_fake 0.025957
[77/5000][430/535][7635] Loss_D: -0.053566 Loss_G: 0.017954 Loss_D_real: -0.020985 Loss_D_fake 0.032581
[77/5000][435/535][7636] Loss_D: -0.054137 Loss_G: 0.052793 Loss_D_real: -0.044185 Loss_D_fake 0.009952
[77/5000][440/535][7637] Loss_D: -0.050721 Loss_G: -0.001146 Loss_D_real: -0.005369 Loss_D_fake 0.045352
[77/5000][445/535][7638] Loss_D: -0.052461 Loss_G: 0.035379 Loss_D_real: -0.041378 Loss_D_fake 0.011083
[77/5000][450/535][7639] Loss_D: -0.053071 Loss_G: 0.017822 Loss_D_real: -0.018936 Loss_D_fake 0.034135
[77/5000][455/535][7640] Loss_D: -0.052838 Loss_G: 0.028369 Loss_D_real: -0.032212 Loss_D_fake 0.020626
[77/5000][460/535][7641] Loss_D: -0.053934 Loss_G: 0.014238 Loss_D_real: -0.020736 Loss_D_fake 0.033198
[77/5000][465/535][7642] Loss_D: -0.052232 Loss_G: 0.044382 Loss_D_real: -0.044405 Loss_D_fake 0.007827
[77/5000][470/535][7643] Loss_D: -0.053128 Loss_G: 0.023441 Loss_D_real: -0.021978 Loss_D_fake 0.031150
[77/5000][475/535][7644] Loss_D: -0.052874 Loss_G: 0.043650 Loss_D_real: -0.044045 Loss_D_fake 0.008828
[77/5000][480/535][7645] Loss_D: -0.054274 Loss_G: 0.019514 Loss_D_real: -0.028121 Loss_D_fake 0.026154
[77/5000][485/535][7646] Loss_D: -0.056188 Loss_G: 0.047164 Loss_D_real: -0.042470 Loss_D_fake 0.013717
[77/5000][490/535][7647] Loss_D: -0.054267 Loss_G: 0.004871 Loss_D_real: -0.014660 Loss_D_fake 0.039607
[77/5000][495/535][7648] Loss_D: -0.053586 Loss_G: 0.030325 Loss_D_real: -0.037551 Loss_D_fake 0.016036
[77/5000][500/535][7649] Loss_D: -0.055860 Loss_G: 0.040633 Loss_D_real: -0.040410 Loss_D_fake 0.015450
[77/5000][505/535][7650] Loss_D: -0.050711 Loss_G: 0.001026 Loss_D_real: -0.009339 Loss_D_fake 0.041372
[77/5000][510/535][7651] Loss_D: -0.054403 Loss_G: 0.037842 Loss_D_real: -0.040566 Loss_D_fake 0.013837
[77/5000][515/535][7652] Loss_D: -0.054400 Loss_G: 0.011554 Loss_D_real: -0.023672 Loss_D_fake 0.030728
[77/5000][520/535][7653] Loss_D: -0.049604 Loss_G: 0.051530 Loss_D_real: -0.049903 Loss_D_fake -0.000299
[77/5000][525/535][7654] Loss_D: -0.053981 Loss_G: 0.003498 Loss_D_real: -0.015660 Loss_D_fake 0.038321
[77/5000][530/535][7655] Loss_D: -0.050924 Loss_G: 0.020842 Loss_D_real: -0.031296 Loss_D_fake 0.019628
[77/5000][535/535][7656] Loss_D: -0.054220 Loss_G: 0.050855 Loss_D_real: -0.042462 Loss_D_fake 0.011758
[78/5000][5/535][7657] Loss_D: -0.054622 Loss_G: 0.005371 Loss_D_real: -0.019622 Loss_D_fake 0.035000
[78/5000][10/535][7658] Loss_D: -0.051800 Loss_G: 0.046947 Loss_D_real: -0.050259 Loss_D_fake 0.001542
[78/5000][15/535][7659] Loss_D: -0.051988 Loss_G: 0.013179 Loss_D_real: -0.024812 Loss_D_fake 0.027176
[78/5000][20/535][7660] Loss_D: -0.054975 Loss_G: 0.037145 Loss_D_real: -0.039484 Loss_D_fake 0.015490
[78/5000][25/535][7661] Loss_D: -0.052634 Loss_G: 0.017572 Loss_D_real: -0.026290 Loss_D_fake 0.026344
[78/5000][30/535][7662] Loss_D: -0.056263 Loss_G: 0.043726 Loss_D_real: -0.043510 Loss_D_fake 0.012753
[78/5000][35/535][7663] Loss_D: -0.053185 Loss_G: 0.010912 Loss_D_real: -0.017826 Loss_D_fake 0.035359
[78/5000][40/535][7664] Loss_D: -0.054753 Loss_G: 0.039395 Loss_D_real: -0.041862 Loss_D_fake 0.012891
[78/5000][45/535][7665] Loss_D: -0.053185 Loss_G: 0.023475 Loss_D_real: -0.025109 Loss_D_fake 0.028077
[78/5000][50/535][7666] Loss_D: -0.054082 Loss_G: 0.026427 Loss_D_real: -0.031611 Loss_D_fake 0.022471
[78/5000][55/535][7667] Loss_D: -0.055418 Loss_G: 0.032321 Loss_D_real: -0.033476 Loss_D_fake 0.021942
[78/5000][60/535][7668] Loss_D: -0.055358 Loss_G: 0.037592 Loss_D_real: -0.036467 Loss_D_fake 0.018891
[78/5000][65/535][7669] Loss_D: -0.053425 Loss_G: 0.036903 Loss_D_real: -0.039942 Loss_D_fake 0.013482
[78/5000][70/535][7670] Loss_D: -0.052581 Loss_G: 0.052644 Loss_D_real: -0.051045 Loss_D_fake 0.001536
[78/5000][75/535][7671] Loss_D: -0.052942 Loss_G: 0.008718 Loss_D_real: -0.019530 Loss_D_fake 0.033412
[78/5000][80/535][7672] Loss_D: -0.050308 Loss_G: 0.053749 Loss_D_real: -0.055334 Loss_D_fake -0.005026
[78/5000][85/535][7673] Loss_D: -0.054609 Loss_G: 0.017149 Loss_D_real: -0.021965 Loss_D_fake 0.032643
[78/5000][90/535][7674] Loss_D: -0.051939 Loss_G: 0.052810 Loss_D_real: -0.052069 Loss_D_fake -0.000130
[78/5000][95/535][7675] Loss_D: -0.054743 Loss_G: 0.016764 Loss_D_real: -0.023283 Loss_D_fake 0.031460
[78/5000][100/535][7676] Loss_D: -0.055510 Loss_G: 0.057277 Loss_D_real: -0.047400 Loss_D_fake 0.008110
[78/5000][105/535][7677] Loss_D: -0.051967 Loss_G: 0.000377 Loss_D_real: -0.007766 Loss_D_fake 0.044201
[78/5000][110/535][7678] Loss_D: -0.052013 Loss_G: 0.041856 Loss_D_real: -0.045418 Loss_D_fake 0.006595
[78/5000][115/535][7679] Loss_D: -0.052039 Loss_G: 0.008529 Loss_D_real: -0.014817 Loss_D_fake 0.037222
[78/5000][120/535][7680] Loss_D: -0.054901 Loss_G: 0.034232 Loss_D_real: -0.038888 Loss_D_fake 0.016014
[78/5000][125/535][7681] Loss_D: -0.056842 Loss_G: 0.029948 Loss_D_real: -0.030685 Loss_D_fake 0.026157
[78/5000][130/535][7682] Loss_D: -0.054663 Loss_G: 0.048201 Loss_D_real: -0.045230 Loss_D_fake 0.009433
[78/5000][135/535][7683] Loss_D: -0.052910 Loss_G: 0.002801 Loss_D_real: -0.012744 Loss_D_fake 0.040166
[78/5000][140/535][7684] Loss_D: -0.054182 Loss_G: 0.038642 Loss_D_real: -0.034443 Loss_D_fake 0.019739
[78/5000][145/535][7685] Loss_D: -0.053119 Loss_G: 0.041088 Loss_D_real: -0.038665 Loss_D_fake 0.014454
[78/5000][150/535][7686] Loss_D: -0.055032 Loss_G: 0.003146 Loss_D_real: -0.016945 Loss_D_fake 0.038088
[78/5000][155/535][7687] Loss_D: -0.052041 Loss_G: 0.054262 Loss_D_real: -0.051455 Loss_D_fake 0.000586
[78/5000][160/535][7688] Loss_D: -0.053576 Loss_G: 0.000036 Loss_D_real: -0.013097 Loss_D_fake 0.040479
[78/5000][165/535][7689] Loss_D: -0.052267 Loss_G: 0.051077 Loss_D_real: -0.047297 Loss_D_fake 0.004970
[78/5000][170/535][7690] Loss_D: -0.054476 Loss_G: 0.024203 Loss_D_real: -0.027742 Loss_D_fake 0.026734
[78/5000][175/535][7691] Loss_D: -0.056029 Loss_G: 0.039961 Loss_D_real: -0.035960 Loss_D_fake 0.020069
[78/5000][180/535][7692] Loss_D: -0.055224 Loss_G: 0.047952 Loss_D_real: -0.045962 Loss_D_fake 0.009262
[78/5000][185/535][7693] Loss_D: -0.052826 Loss_G: 0.010303 Loss_D_real: -0.016686 Loss_D_fake 0.036140
[78/5000][190/535][7694] Loss_D: -0.053547 Loss_G: 0.037236 Loss_D_real: -0.038213 Loss_D_fake 0.015334
[78/5000][195/535][7695] Loss_D: -0.054565 Loss_G: 0.031451 Loss_D_real: -0.028687 Loss_D_fake 0.025878
[78/5000][200/535][7696] Loss_D: -0.056243 Loss_G: 0.013873 Loss_D_real: -0.026425 Loss_D_fake 0.029818
[78/5000][205/535][7697] Loss_D: -0.049233 Loss_G: 0.055251 Loss_D_real: -0.054212 Loss_D_fake -0.004979
[78/5000][210/535][7698] Loss_D: -0.052903 Loss_G: 0.006815 Loss_D_real: -0.016784 Loss_D_fake 0.036120
[78/5000][215/535][7699] Loss_D: -0.051935 Loss_G: 0.040142 Loss_D_real: -0.039466 Loss_D_fake 0.012470
[78/5000][220/535][7700] Loss_D: -0.052927 Loss_G: 0.037676 Loss_D_real: -0.031427 Loss_D_fake 0.021500
[78/5000][225/535][7701] Loss_D: -0.054862 Loss_G: 0.026283 Loss_D_real: -0.031580 Loss_D_fake 0.023282
[78/5000][230/535][7702] Loss_D: -0.053917 Loss_G: -0.001068 Loss_D_real: -0.015001 Loss_D_fake 0.038916
[78/5000][235/535][7703] Loss_D: -0.051379 Loss_G: 0.041858 Loss_D_real: -0.042033 Loss_D_fake 0.009346
[78/5000][240/535][7704] Loss_D: -0.049116 Loss_G: -0.002994 Loss_D_real: -0.004705 Loss_D_fake 0.044411
[78/5000][245/535][7705] Loss_D: -0.050446 Loss_G: 0.040213 Loss_D_real: -0.040102 Loss_D_fake 0.010345
[78/5000][250/535][7706] Loss_D: -0.053948 Loss_G: 0.029849 Loss_D_real: -0.033237 Loss_D_fake 0.020711
[78/5000][255/535][7707] Loss_D: -0.052711 Loss_G: 0.041509 Loss_D_real: -0.042094 Loss_D_fake 0.010617
[78/5000][260/535][7708] Loss_D: -0.052981 Loss_G: 0.042304 Loss_D_real: -0.038652 Loss_D_fake 0.014330
[78/5000][265/535][7709] Loss_D: -0.054183 Loss_G: 0.018572 Loss_D_real: -0.026852 Loss_D_fake 0.027332
[78/5000][270/535][7710] Loss_D: -0.052395 Loss_G: 0.055832 Loss_D_real: -0.047262 Loss_D_fake 0.005133
[78/5000][275/535][7711] Loss_D: -0.051755 Loss_G: 0.011707 Loss_D_real: -0.021797 Loss_D_fake 0.029958
[78/5000][280/535][7712] Loss_D: -0.052070 Loss_G: 0.045819 Loss_D_real: -0.045819 Loss_D_fake 0.006251
[78/5000][285/535][7713] Loss_D: -0.053029 Loss_G: 0.028533 Loss_D_real: -0.026418 Loss_D_fake 0.026611
[78/5000][290/535][7714] Loss_D: -0.056781 Loss_G: 0.030320 Loss_D_real: -0.030986 Loss_D_fake 0.025795
[78/5000][295/535][7715] Loss_D: -0.054652 Loss_G: 0.028248 Loss_D_real: -0.025015 Loss_D_fake 0.029637
[78/5000][300/535][7716] Loss_D: -0.053342 Loss_G: 0.013225 Loss_D_real: -0.020092 Loss_D_fake 0.033250
[78/5000][305/535][7717] Loss_D: -0.051391 Loss_G: 0.053434 Loss_D_real: -0.048660 Loss_D_fake 0.002731
[78/5000][310/535][7718] Loss_D: -0.052283 Loss_G: 0.011313 Loss_D_real: -0.015817 Loss_D_fake 0.036466
[78/5000][315/535][7719] Loss_D: -0.050966 Loss_G: 0.050582 Loss_D_real: -0.047973 Loss_D_fake 0.002994
[78/5000][320/535][7720] Loss_D: -0.052682 Loss_G: -0.005180 Loss_D_real: -0.010264 Loss_D_fake 0.042418
[78/5000][325/535][7721] Loss_D: -0.050757 Loss_G: 0.045067 Loss_D_real: -0.044221 Loss_D_fake 0.006536
[78/5000][330/535][7722] Loss_D: -0.054228 Loss_G: 0.009769 Loss_D_real: -0.023015 Loss_D_fake 0.031213
[78/5000][335/535][7723] Loss_D: -0.051475 Loss_G: 0.048570 Loss_D_real: -0.048366 Loss_D_fake 0.003109
[78/5000][340/535][7724] Loss_D: -0.053664 Loss_G: 0.018446 Loss_D_real: -0.021969 Loss_D_fake 0.031695
[78/5000][345/535][7725] Loss_D: -0.052764 Loss_G: 0.012330 Loss_D_real: -0.020143 Loss_D_fake 0.032621
[78/5000][350/535][7726] Loss_D: -0.053191 Loss_G: 0.035822 Loss_D_real: -0.036789 Loss_D_fake 0.016402
[78/5000][355/535][7727] Loss_D: -0.054745 Loss_G: 0.029473 Loss_D_real: -0.032616 Loss_D_fake 0.022130
[78/5000][360/535][7728] Loss_D: -0.051572 Loss_G: 0.000359 Loss_D_real: -0.012034 Loss_D_fake 0.039538
[78/5000][365/535][7729] Loss_D: -0.049255 Loss_G: 0.039720 Loss_D_real: -0.043140 Loss_D_fake 0.006114
[78/5000][370/535][7730] Loss_D: -0.053854 Loss_G: 0.031898 Loss_D_real: -0.034574 Loss_D_fake 0.019279
[78/5000][375/535][7731] Loss_D: -0.055118 Loss_G: 0.041206 Loss_D_real: -0.036712 Loss_D_fake 0.018406
[78/5000][380/535][7732] Loss_D: -0.052847 Loss_G: 0.013374 Loss_D_real: -0.019641 Loss_D_fake 0.033206
[78/5000][385/535][7733] Loss_D: -0.053347 Loss_G: 0.050757 Loss_D_real: -0.053848 Loss_D_fake -0.000502
[78/5000][390/535][7734] Loss_D: -0.051046 Loss_G: 0.005326 Loss_D_real: -0.014290 Loss_D_fake 0.036756
[78/5000][395/535][7735] Loss_D: -0.054404 Loss_G: 0.040621 Loss_D_real: -0.041559 Loss_D_fake 0.012845
[78/5000][400/535][7736] Loss_D: -0.054171 Loss_G: 0.019641 Loss_D_real: -0.027696 Loss_D_fake 0.026474
[78/5000][405/535][7737] Loss_D: -0.054330 Loss_G: 0.036126 Loss_D_real: -0.039605 Loss_D_fake 0.014726
[78/5000][410/535][7738] Loss_D: -0.056468 Loss_G: 0.022541 Loss_D_real: -0.030381 Loss_D_fake 0.026087
[78/5000][415/535][7739] Loss_D: -0.056256 Loss_G: 0.027113 Loss_D_real: -0.028612 Loss_D_fake 0.027644
[78/5000][420/535][7740] Loss_D: -0.053298 Loss_G: 0.029461 Loss_D_real: -0.027817 Loss_D_fake 0.025481
[78/5000][425/535][7741] Loss_D: -0.055238 Loss_G: 0.032257 Loss_D_real: -0.030839 Loss_D_fake 0.024400
[78/5000][430/535][7742] Loss_D: -0.053653 Loss_G: -0.001755 Loss_D_real: -0.013042 Loss_D_fake 0.040611
[78/5000][435/535][7743] Loss_D: -0.052195 Loss_G: 0.043907 Loss_D_real: -0.051091 Loss_D_fake 0.001104
[78/5000][440/535][7744] Loss_D: -0.052249 Loss_G: 0.025276 Loss_D_real: -0.028192 Loss_D_fake 0.024057
[78/5000][445/535][7745] Loss_D: -0.055058 Loss_G: 0.035364 Loss_D_real: -0.032606 Loss_D_fake 0.022453
[78/5000][450/535][7746] Loss_D: -0.052242 Loss_G: 0.040066 Loss_D_real: -0.038579 Loss_D_fake 0.013663
[78/5000][455/535][7747] Loss_D: -0.054358 Loss_G: 0.038239 Loss_D_real: -0.039423 Loss_D_fake 0.014934
[78/5000][460/535][7748] Loss_D: -0.054832 Loss_G: 0.026207 Loss_D_real: -0.027615 Loss_D_fake 0.027217
[78/5000][465/535][7749] Loss_D: -0.054369 Loss_G: 0.042744 Loss_D_real: -0.036091 Loss_D_fake 0.018278
[78/5000][470/535][7750] Loss_D: -0.052903 Loss_G: 0.046179 Loss_D_real: -0.046047 Loss_D_fake 0.006856
[78/5000][475/535][7751] Loss_D: -0.050906 Loss_G: -0.013700 Loss_D_real: -0.000818 Loss_D_fake 0.050089
[78/5000][480/535][7752] Loss_D: -0.051594 Loss_G: 0.042173 Loss_D_real: -0.042831 Loss_D_fake 0.008763
[78/5000][485/535][7753] Loss_D: -0.054424 Loss_G: 0.021666 Loss_D_real: -0.028968 Loss_D_fake 0.025456
[78/5000][490/535][7754] Loss_D: -0.051822 Loss_G: 0.062638 Loss_D_real: -0.052218 Loss_D_fake -0.000396
[78/5000][495/535][7755] Loss_D: -0.054153 Loss_G: -0.002685 Loss_D_real: -0.013255 Loss_D_fake 0.040897
[78/5000][500/535][7756] Loss_D: -0.050687 Loss_G: 0.039736 Loss_D_real: -0.036033 Loss_D_fake 0.014654
[78/5000][505/535][7757] Loss_D: -0.055626 Loss_G: 0.043689 Loss_D_real: -0.041682 Loss_D_fake 0.013944
[78/5000][510/535][7758] Loss_D: -0.054510 Loss_G: 0.003694 Loss_D_real: -0.010605 Loss_D_fake 0.043906
[78/5000][515/535][7759] Loss_D: -0.051229 Loss_G: 0.053384 Loss_D_real: -0.052157 Loss_D_fake -0.000928
[78/5000][520/535][7760] Loss_D: -0.053339 Loss_G: 0.014715 Loss_D_real: -0.018758 Loss_D_fake 0.034581
[78/5000][525/535][7761] Loss_D: -0.055835 Loss_G: 0.021444 Loss_D_real: -0.032858 Loss_D_fake 0.022976
[78/5000][530/535][7762] Loss_D: -0.054685 Loss_G: 0.029608 Loss_D_real: -0.029842 Loss_D_fake 0.024843
[78/5000][535/535][7763] Loss_D: -0.058149 Loss_G: 0.054505 Loss_D_real: -0.047289 Loss_D_fake 0.010861
[79/5000][5/535][7764] Loss_D: -0.053872 Loss_G: 0.005294 Loss_D_real: -0.012123 Loss_D_fake 0.041749
[79/5000][10/535][7765] Loss_D: -0.051949 Loss_G: 0.042433 Loss_D_real: -0.042263 Loss_D_fake 0.009686
[79/5000][15/535][7766] Loss_D: -0.051333 Loss_G: -0.003503 Loss_D_real: -0.011058 Loss_D_fake 0.040275
[79/5000][20/535][7767] Loss_D: -0.052611 Loss_G: 0.034365 Loss_D_real: -0.033922 Loss_D_fake 0.018689
[79/5000][25/535][7768] Loss_D: -0.047850 Loss_G: 0.010071 Loss_D_real: -0.006661 Loss_D_fake 0.041188
[79/5000][30/535][7769] Loss_D: -0.052998 Loss_G: 0.032845 Loss_D_real: -0.036078 Loss_D_fake 0.016920
[79/5000][35/535][7770] Loss_D: -0.055375 Loss_G: 0.033624 Loss_D_real: -0.036496 Loss_D_fake 0.018878
[79/5000][40/535][7771] Loss_D: -0.053732 Loss_G: 0.016235 Loss_D_real: -0.026846 Loss_D_fake 0.026886
[79/5000][45/535][7772] Loss_D: -0.053046 Loss_G: 0.051646 Loss_D_real: -0.045965 Loss_D_fake 0.007081
[79/5000][50/535][7773] Loss_D: -0.054514 Loss_G: 0.041747 Loss_D_real: -0.035593 Loss_D_fake 0.018921
[79/5000][55/535][7774] Loss_D: -0.056004 Loss_G: 0.036153 Loss_D_real: -0.036010 Loss_D_fake 0.019994
[79/5000][60/535][7775] Loss_D: -0.053429 Loss_G: 0.048673 Loss_D_real: -0.047592 Loss_D_fake 0.005837
[79/5000][65/535][7776] Loss_D: -0.054830 Loss_G: 0.048407 Loss_D_real: -0.035806 Loss_D_fake 0.019024
[79/5000][70/535][7777] Loss_D: -0.053795 Loss_G: 0.009499 Loss_D_real: -0.020878 Loss_D_fake 0.032917
[79/5000][75/535][7778] Loss_D: -0.050343 Loss_G: 0.055752 Loss_D_real: -0.056345 Loss_D_fake -0.006001
[79/5000][80/535][7779] Loss_D: -0.050680 Loss_G: 0.002996 Loss_D_real: -0.011725 Loss_D_fake 0.038954
[79/5000][85/535][7780] Loss_D: -0.048843 Loss_G: 0.041506 Loss_D_real: -0.042949 Loss_D_fake 0.005895
[79/5000][90/535][7781] Loss_D: -0.055239 Loss_G: 0.021858 Loss_D_real: -0.030194 Loss_D_fake 0.025044
[79/5000][95/535][7782] Loss_D: -0.053915 Loss_G: 0.045398 Loss_D_real: -0.038253 Loss_D_fake 0.015662
[79/5000][100/535][7783] Loss_D: -0.055936 Loss_G: 0.008483 Loss_D_real: -0.018358 Loss_D_fake 0.037578
[79/5000][105/535][7784] Loss_D: -0.052482 Loss_G: 0.043504 Loss_D_real: -0.041465 Loss_D_fake 0.011017
[79/5000][110/535][7785] Loss_D: -0.052354 Loss_G: 0.000130 Loss_D_real: -0.012809 Loss_D_fake 0.039546
[79/5000][115/535][7786] Loss_D: -0.050750 Loss_G: 0.043107 Loss_D_real: -0.044785 Loss_D_fake 0.005965
[79/5000][120/535][7787] Loss_D: -0.054525 Loss_G: 0.038058 Loss_D_real: -0.036272 Loss_D_fake 0.018253
[79/5000][125/535][7788] Loss_D: -0.055541 Loss_G: 0.027226 Loss_D_real: -0.029440 Loss_D_fake 0.026101
[79/5000][130/535][7789] Loss_D: -0.053931 Loss_G: 0.049549 Loss_D_real: -0.043304 Loss_D_fake 0.010627
[79/5000][135/535][7790] Loss_D: -0.052322 Loss_G: -0.000145 Loss_D_real: -0.005257 Loss_D_fake 0.047065
[79/5000][140/535][7791] Loss_D: -0.050098 Loss_G: 0.051781 Loss_D_real: -0.053801 Loss_D_fake -0.003702
[79/5000][145/535][7792] Loss_D: -0.052769 Loss_G: 0.020803 Loss_D_real: -0.018499 Loss_D_fake 0.034270
[79/5000][150/535][7793] Loss_D: -0.054741 Loss_G: 0.041719 Loss_D_real: -0.037820 Loss_D_fake 0.016921
[79/5000][155/535][7794] Loss_D: -0.054636 Loss_G: 0.020642 Loss_D_real: -0.018957 Loss_D_fake 0.035679
[79/5000][160/535][7795] Loss_D: -0.056767 Loss_G: 0.040309 Loss_D_real: -0.041877 Loss_D_fake 0.014889
[79/5000][165/535][7796] Loss_D: -0.053367 Loss_G: 0.006805 Loss_D_real: -0.017716 Loss_D_fake 0.035651
[79/5000][170/535][7797] Loss_D: -0.053981 Loss_G: 0.049438 Loss_D_real: -0.046413 Loss_D_fake 0.007568
[79/5000][175/535][7798] Loss_D: -0.054225 Loss_G: 0.007313 Loss_D_real: -0.020146 Loss_D_fake 0.034078
[79/5000][180/535][7799] Loss_D: -0.051855 Loss_G: 0.045109 Loss_D_real: -0.044413 Loss_D_fake 0.007442
[79/5000][185/535][7800] Loss_D: -0.052479 Loss_G: 0.005717 Loss_D_real: -0.010642 Loss_D_fake 0.041836
[79/5000][190/535][7801] Loss_D: -0.052319 Loss_G: 0.037173 Loss_D_real: -0.043655 Loss_D_fake 0.008663
[79/5000][195/535][7802] Loss_D: -0.053387 Loss_G: 0.017283 Loss_D_real: -0.018525 Loss_D_fake 0.034862
[79/5000][200/535][7803] Loss_D: -0.051664 Loss_G: 0.045123 Loss_D_real: -0.043973 Loss_D_fake 0.007691
[79/5000][205/535][7804] Loss_D: -0.052087 Loss_G: 0.011908 Loss_D_real: -0.018925 Loss_D_fake 0.033162
[79/5000][210/535][7805] Loss_D: -0.052715 Loss_G: 0.052778 Loss_D_real: -0.047650 Loss_D_fake 0.005065
[79/5000][215/535][7806] Loss_D: -0.052636 Loss_G: 0.012740 Loss_D_real: -0.015081 Loss_D_fake 0.037555
[79/5000][220/535][7807] Loss_D: -0.053586 Loss_G: 0.028855 Loss_D_real: -0.034266 Loss_D_fake 0.019320
[79/5000][225/535][7808] Loss_D: -0.051394 Loss_G: 0.047924 Loss_D_real: -0.047693 Loss_D_fake 0.003701
[79/5000][230/535][7809] Loss_D: -0.051646 Loss_G: 0.006155 Loss_D_real: -0.015343 Loss_D_fake 0.036303
[79/5000][235/535][7810] Loss_D: -0.050252 Loss_G: 0.052079 Loss_D_real: -0.051515 Loss_D_fake -0.001264
[79/5000][240/535][7811] Loss_D: -0.052767 Loss_G: 0.014360 Loss_D_real: -0.022997 Loss_D_fake 0.029770
[79/5000][245/535][7812] Loss_D: -0.053532 Loss_G: 0.037518 Loss_D_real: -0.041907 Loss_D_fake 0.011625
[79/5000][250/535][7813] Loss_D: -0.055297 Loss_G: 0.035534 Loss_D_real: -0.035674 Loss_D_fake 0.019623
[79/5000][255/535][7814] Loss_D: -0.051956 Loss_G: 0.012897 Loss_D_real: -0.022216 Loss_D_fake 0.029740
[79/5000][260/535][7815] Loss_D: -0.052723 Loss_G: 0.042369 Loss_D_real: -0.041706 Loss_D_fake 0.011017
[79/5000][265/535][7816] Loss_D: -0.052944 Loss_G: 0.018419 Loss_D_real: -0.027978 Loss_D_fake 0.024966
[79/5000][270/535][7817] Loss_D: -0.052488 Loss_G: 0.036713 Loss_D_real: -0.038861 Loss_D_fake 0.013627
[79/5000][275/535][7818] Loss_D: -0.050793 Loss_G: 0.019053 Loss_D_real: -0.023127 Loss_D_fake 0.027666
[79/5000][280/535][7819] Loss_D: -0.055348 Loss_G: 0.026718 Loss_D_real: -0.030469 Loss_D_fake 0.024878
[79/5000][285/535][7820] Loss_D: -0.054456 Loss_G: 0.041797 Loss_D_real: -0.040148 Loss_D_fake 0.014308
[79/5000][290/535][7821] Loss_D: -0.053473 Loss_G: 0.003753 Loss_D_real: -0.018431 Loss_D_fake 0.035042
[79/5000][295/535][7822] Loss_D: -0.051910 Loss_G: 0.050086 Loss_D_real: -0.049868 Loss_D_fake 0.002042
[79/5000][300/535][7823] Loss_D: -0.054198 Loss_G: 0.027280 Loss_D_real: -0.031196 Loss_D_fake 0.023002
[79/5000][305/535][7824] Loss_D: -0.052171 Loss_G: 0.041919 Loss_D_real: -0.046738 Loss_D_fake 0.005433
[79/5000][310/535][7825] Loss_D: -0.052907 Loss_G: 0.029554 Loss_D_real: -0.029589 Loss_D_fake 0.023318
[79/5000][315/535][7826] Loss_D: -0.052991 Loss_G: 0.043293 Loss_D_real: -0.035273 Loss_D_fake 0.017718
[79/5000][320/535][7827] Loss_D: -0.052120 Loss_G: 0.010017 Loss_D_real: -0.015059 Loss_D_fake 0.037061
[79/5000][325/535][7828] Loss_D: -0.051749 Loss_G: 0.047233 Loss_D_real: -0.042856 Loss_D_fake 0.008894
[79/5000][330/535][7829] Loss_D: -0.054070 Loss_G: 0.029459 Loss_D_real: -0.036769 Loss_D_fake 0.017301
[79/5000][335/535][7830] Loss_D: -0.053680 Loss_G: 0.010089 Loss_D_real: -0.015760 Loss_D_fake 0.037920
[79/5000][340/535][7831] Loss_D: -0.053502 Loss_G: 0.046353 Loss_D_real: -0.038942 Loss_D_fake 0.014560
[79/5000][345/535][7832] Loss_D: -0.050865 Loss_G: -0.005486 Loss_D_real: -0.005652 Loss_D_fake 0.045214
[79/5000][350/535][7833] Loss_D: -0.050768 Loss_G: 0.048024 Loss_D_real: -0.045027 Loss_D_fake 0.005742
[79/5000][355/535][7834] Loss_D: -0.052314 Loss_G: 0.002290 Loss_D_real: -0.014529 Loss_D_fake 0.037786
[79/5000][360/535][7835] Loss_D: -0.049703 Loss_G: 0.053323 Loss_D_real: -0.053714 Loss_D_fake -0.004011
[79/5000][365/535][7836] Loss_D: -0.049860 Loss_G: -0.005151 Loss_D_real: -0.006160 Loss_D_fake 0.043701
[79/5000][370/535][7837] Loss_D: -0.051252 Loss_G: 0.038246 Loss_D_real: -0.035926 Loss_D_fake 0.015327
[79/5000][375/535][7838] Loss_D: -0.050746 Loss_G: 0.013195 Loss_D_real: -0.020370 Loss_D_fake 0.030376
[79/5000][380/535][7839] Loss_D: -0.052747 Loss_G: 0.046948 Loss_D_real: -0.045488 Loss_D_fake 0.007259
[79/5000][385/535][7840] Loss_D: -0.055702 Loss_G: 0.025932 Loss_D_real: -0.030449 Loss_D_fake 0.025253
[79/5000][390/535][7841] Loss_D: -0.055372 Loss_G: 0.044355 Loss_D_real: -0.040935 Loss_D_fake 0.014437
[79/5000][395/535][7842] Loss_D: -0.055717 Loss_G: 0.012441 Loss_D_real: -0.017332 Loss_D_fake 0.038385
[79/5000][400/535][7843] Loss_D: -0.055649 Loss_G: 0.048745 Loss_D_real: -0.047192 Loss_D_fake 0.008457
[79/5000][405/535][7844] Loss_D: -0.057174 Loss_G: 0.019030 Loss_D_real: -0.026351 Loss_D_fake 0.030823
[79/5000][410/535][7845] Loss_D: -0.057640 Loss_G: 0.045045 Loss_D_real: -0.047094 Loss_D_fake 0.010546
[79/5000][415/535][7846] Loss_D: -0.053698 Loss_G: 0.016877 Loss_D_real: -0.024595 Loss_D_fake 0.029103
[79/5000][420/535][7847] Loss_D: -0.055378 Loss_G: 0.038327 Loss_D_real: -0.038216 Loss_D_fake 0.017162
[79/5000][425/535][7848] Loss_D: -0.051994 Loss_G: 0.009951 Loss_D_real: -0.018693 Loss_D_fake 0.033301
[79/5000][430/535][7849] Loss_D: -0.053571 Loss_G: 0.027171 Loss_D_real: -0.033766 Loss_D_fake 0.019805
[79/5000][435/535][7850] Loss_D: -0.053739 Loss_G: 0.031911 Loss_D_real: -0.032192 Loss_D_fake 0.021547
[79/5000][440/535][7851] Loss_D: -0.052460 Loss_G: 0.019080 Loss_D_real: -0.023103 Loss_D_fake 0.029357
[79/5000][445/535][7852] Loss_D: -0.051108 Loss_G: 0.042900 Loss_D_real: -0.047101 Loss_D_fake 0.004007
[79/5000][450/535][7853] Loss_D: -0.052908 Loss_G: 0.008775 Loss_D_real: -0.018914 Loss_D_fake 0.033994
[79/5000][455/535][7854] Loss_D: -0.051033 Loss_G: 0.045832 Loss_D_real: -0.045542 Loss_D_fake 0.005491
[79/5000][460/535][7855] Loss_D: -0.052923 Loss_G: 0.030384 Loss_D_real: -0.034622 Loss_D_fake 0.018301
[79/5000][465/535][7856] Loss_D: -0.054998 Loss_G: 0.016724 Loss_D_real: -0.032630 Loss_D_fake 0.022368
[79/5000][470/535][7857] Loss_D: -0.053439 Loss_G: 0.028842 Loss_D_real: -0.030631 Loss_D_fake 0.022808
[79/5000][475/535][7858] Loss_D: -0.052803 Loss_G: 0.049457 Loss_D_real: -0.046069 Loss_D_fake 0.006734
[79/5000][480/535][7859] Loss_D: -0.052027 Loss_G: 0.039720 Loss_D_real: -0.034005 Loss_D_fake 0.018022
[79/5000][485/535][7860] Loss_D: -0.054202 Loss_G: 0.043503 Loss_D_real: -0.044526 Loss_D_fake 0.009676
[79/5000][490/535][7861] Loss_D: -0.053293 Loss_G: 0.038737 Loss_D_real: -0.036503 Loss_D_fake 0.016790
[79/5000][495/535][7862] Loss_D: -0.055962 Loss_G: 0.044986 Loss_D_real: -0.047079 Loss_D_fake 0.008884
[79/5000][500/535][7863] Loss_D: -0.055221 Loss_G: 0.022901 Loss_D_real: -0.023413 Loss_D_fake 0.031808
[79/5000][505/535][7864] Loss_D: -0.054349 Loss_G: 0.050714 Loss_D_real: -0.047519 Loss_D_fake 0.006829
[79/5000][510/535][7865] Loss_D: -0.049306 Loss_G: -0.001243 Loss_D_real: 0.004077 Loss_D_fake 0.053383
[79/5000][515/535][7866] Loss_D: -0.047955 Loss_G: 0.049377 Loss_D_real: -0.048567 Loss_D_fake -0.000613
[79/5000][520/535][7867] Loss_D: -0.050810 Loss_G: 0.013033 Loss_D_real: -0.020406 Loss_D_fake 0.030404
[79/5000][525/535][7868] Loss_D: -0.053627 Loss_G: 0.050149 Loss_D_real: -0.044052 Loss_D_fake 0.009575
[79/5000][530/535][7869] Loss_D: -0.052988 Loss_G: 0.019636 Loss_D_real: -0.018611 Loss_D_fake 0.034377
[79/5000][535/535][7870] Loss_D: -0.049176 Loss_G: 0.028995 Loss_D_real: -0.027533 Loss_D_fake 0.021644
[80/5000][5/535][7871] Loss_D: -0.052135 Loss_G: 0.060362 Loss_D_real: -0.058781 Loss_D_fake -0.006646
[80/5000][10/535][7872] Loss_D: -0.053200 Loss_G: -0.002262 Loss_D_real: -0.013569 Loss_D_fake 0.039632
[80/5000][15/535][7873] Loss_D: -0.051517 Loss_G: 0.043070 Loss_D_real: -0.046095 Loss_D_fake 0.005421
[80/5000][20/535][7874] Loss_D: -0.054758 Loss_G: 0.025762 Loss_D_real: -0.026466 Loss_D_fake 0.028292
[80/5000][25/535][7875] Loss_D: -0.056255 Loss_G: 0.027683 Loss_D_real: -0.031438 Loss_D_fake 0.024816
[80/5000][30/535][7876] Loss_D: -0.055123 Loss_G: 0.018025 Loss_D_real: -0.023302 Loss_D_fake 0.031821
[80/5000][35/535][7877] Loss_D: -0.051748 Loss_G: 0.058198 Loss_D_real: -0.056276 Loss_D_fake -0.004528
[80/5000][40/535][7878] Loss_D: -0.052732 Loss_G: -0.001150 Loss_D_real: -0.010010 Loss_D_fake 0.042722
[80/5000][45/535][7879] Loss_D: -0.050550 Loss_G: 0.042989 Loss_D_real: -0.043221 Loss_D_fake 0.007329
[80/5000][50/535][7880] Loss_D: -0.054040 Loss_G: 0.046594 Loss_D_real: -0.039412 Loss_D_fake 0.014628
[80/5000][55/535][7881] Loss_D: -0.052931 Loss_G: 0.033532 Loss_D_real: -0.030330 Loss_D_fake 0.022602
[80/5000][60/535][7882] Loss_D: -0.054375 Loss_G: 0.031307 Loss_D_real: -0.032113 Loss_D_fake 0.022262
[80/5000][65/535][7883] Loss_D: -0.054172 Loss_G: 0.015221 Loss_D_real: -0.020171 Loss_D_fake 0.034001
[80/5000][70/535][7884] Loss_D: -0.054432 Loss_G: 0.035312 Loss_D_real: -0.039769 Loss_D_fake 0.014663
[80/5000][75/535][7885] Loss_D: -0.052044 Loss_G: 0.008383 Loss_D_real: -0.016865 Loss_D_fake 0.035179
[80/5000][80/535][7886] Loss_D: -0.049804 Loss_G: 0.056033 Loss_D_real: -0.057846 Loss_D_fake -0.008042
[80/5000][85/535][7887] Loss_D: -0.053484 Loss_G: 0.011694 Loss_D_real: -0.023809 Loss_D_fake 0.029675
[80/5000][90/535][7888] Loss_D: -0.052625 Loss_G: 0.046647 Loss_D_real: -0.040222 Loss_D_fake 0.012403
[80/5000][95/535][7889] Loss_D: -0.054038 Loss_G: 0.015335 Loss_D_real: -0.016513 Loss_D_fake 0.037525
[80/5000][100/535][7890] Loss_D: -0.055650 Loss_G: 0.019351 Loss_D_real: -0.026894 Loss_D_fake 0.028756
[80/5000][105/535][7891] Loss_D: -0.054599 Loss_G: 0.026127 Loss_D_real: -0.033377 Loss_D_fake 0.021222
[80/5000][110/535][7892] Loss_D: -0.053111 Loss_G: 0.020586 Loss_D_real: -0.024405 Loss_D_fake 0.028705
[80/5000][115/535][7893] Loss_D: -0.053344 Loss_G: 0.014935 Loss_D_real: -0.023868 Loss_D_fake 0.029476
[80/5000][120/535][7894] Loss_D: -0.052073 Loss_G: 0.042967 Loss_D_real: -0.048365 Loss_D_fake 0.003707
[80/5000][125/535][7895] Loss_D: -0.052950 Loss_G: 0.009499 Loss_D_real: -0.020662 Loss_D_fake 0.032288
[80/5000][130/535][7896] Loss_D: -0.053711 Loss_G: 0.048332 Loss_D_real: -0.049179 Loss_D_fake 0.004532
[80/5000][135/535][7897] Loss_D: -0.053304 Loss_G: -0.000832 Loss_D_real: -0.016285 Loss_D_fake 0.037019
[80/5000][140/535][7898] Loss_D: -0.052174 Loss_G: 0.020903 Loss_D_real: -0.023760 Loss_D_fake 0.028415
[80/5000][145/535][7899] Loss_D: -0.051671 Loss_G: 0.048904 Loss_D_real: -0.045663 Loss_D_fake 0.006009
[80/5000][150/535][7900] Loss_D: -0.051904 Loss_G: -0.000900 Loss_D_real: -0.008369 Loss_D_fake 0.043534
[80/5000][155/535][7901] Loss_D: -0.051170 Loss_G: 0.032909 Loss_D_real: -0.029707 Loss_D_fake 0.021462
[80/5000][160/535][7902] Loss_D: -0.052969 Loss_G: 0.020072 Loss_D_real: -0.022482 Loss_D_fake 0.030486
[80/5000][165/535][7903] Loss_D: -0.050463 Loss_G: 0.052822 Loss_D_real: -0.053843 Loss_D_fake -0.003380
[80/5000][170/535][7904] Loss_D: -0.052242 Loss_G: 0.008865 Loss_D_real: -0.012674 Loss_D_fake 0.039568
[80/5000][175/535][7905] Loss_D: -0.051024 Loss_G: 0.046960 Loss_D_real: -0.046435 Loss_D_fake 0.004590
[80/5000][180/535][7906] Loss_D: -0.053118 Loss_G: 0.008561 Loss_D_real: -0.022438 Loss_D_fake 0.030680
[80/5000][185/535][7907] Loss_D: -0.050947 Loss_G: 0.045176 Loss_D_real: -0.046562 Loss_D_fake 0.004385
[80/5000][190/535][7908] Loss_D: -0.051559 Loss_G: 0.015041 Loss_D_real: -0.026341 Loss_D_fake 0.025218
[80/5000][195/535][7909] Loss_D: -0.053763 Loss_G: 0.036554 Loss_D_real: -0.035990 Loss_D_fake 0.017774
[80/5000][200/535][7910] Loss_D: -0.054204 Loss_G: 0.017212 Loss_D_real: -0.023795 Loss_D_fake 0.030409
[80/5000][205/535][7911] Loss_D: -0.052912 Loss_G: 0.041594 Loss_D_real: -0.041465 Loss_D_fake 0.011447
[80/5000][210/535][7912] Loss_D: -0.051673 Loss_G: 0.002801 Loss_D_real: -0.010848 Loss_D_fake 0.040824
[80/5000][215/535][7913] Loss_D: -0.049745 Loss_G: 0.047201 Loss_D_real: -0.040925 Loss_D_fake 0.008820
[80/5000][220/535][7914] Loss_D: -0.051781 Loss_G: 0.008938 Loss_D_real: -0.015895 Loss_D_fake 0.035886
[80/5000][225/535][7915] Loss_D: -0.051501 Loss_G: 0.039262 Loss_D_real: -0.036360 Loss_D_fake 0.015140
[80/5000][230/535][7916] Loss_D: -0.051225 Loss_G: 0.004274 Loss_D_real: -0.011491 Loss_D_fake 0.039734
[80/5000][235/535][7917] Loss_D: -0.049719 Loss_G: 0.045913 Loss_D_real: -0.044150 Loss_D_fake 0.005568
[80/5000][240/535][7918] Loss_D: -0.054614 Loss_G: 0.020578 Loss_D_real: -0.027700 Loss_D_fake 0.026915
[80/5000][245/535][7919] Loss_D: -0.052894 Loss_G: 0.042511 Loss_D_real: -0.044831 Loss_D_fake 0.008062
[80/5000][250/535][7920] Loss_D: -0.051871 Loss_G: 0.049021 Loss_D_real: -0.047380 Loss_D_fake 0.004491
[80/5000][255/535][7921] Loss_D: -0.054050 Loss_G: 0.017834 Loss_D_real: -0.024437 Loss_D_fake 0.029613
[80/5000][260/535][7922] Loss_D: -0.049702 Loss_G: 0.051953 Loss_D_real: -0.054653 Loss_D_fake -0.004951
[80/5000][265/535][7923] Loss_D: -0.052352 Loss_G: 0.018652 Loss_D_real: -0.026790 Loss_D_fake 0.025562
[80/5000][270/535][7924] Loss_D: -0.051011 Loss_G: 0.052571 Loss_D_real: -0.047529 Loss_D_fake 0.003482
[80/5000][275/535][7925] Loss_D: -0.051956 Loss_G: 0.019847 Loss_D_real: -0.025675 Loss_D_fake 0.026281
[80/5000][280/535][7926] Loss_D: -0.050021 Loss_G: 0.046299 Loss_D_real: -0.050108 Loss_D_fake -0.000088
[80/5000][285/535][7927] Loss_D: -0.051852 Loss_G: 0.011666 Loss_D_real: -0.020258 Loss_D_fake 0.031594
[80/5000][290/535][7928] Loss_D: -0.053219 Loss_G: 0.043379 Loss_D_real: -0.044225 Loss_D_fake 0.008994
[80/5000][295/535][7929] Loss_D: -0.054336 Loss_G: 0.024412 Loss_D_real: -0.027502 Loss_D_fake 0.026834
[80/5000][300/535][7930] Loss_D: -0.054817 Loss_G: 0.023411 Loss_D_real: -0.029189 Loss_D_fake 0.025628
[80/5000][305/535][7931] Loss_D: -0.050213 Loss_G: 0.054722 Loss_D_real: -0.055108 Loss_D_fake -0.004895
[80/5000][310/535][7932] Loss_D: -0.053866 Loss_G: 0.005390 Loss_D_real: -0.018627 Loss_D_fake 0.035239
[80/5000][315/535][7933] Loss_D: -0.053731 Loss_G: 0.038475 Loss_D_real: -0.031060 Loss_D_fake 0.022672
[80/5000][320/535][7934] Loss_D: -0.052404 Loss_G: 0.046998 Loss_D_real: -0.040926 Loss_D_fake 0.011478
[80/5000][325/535][7935] Loss_D: -0.051197 Loss_G: 0.012542 Loss_D_real: -0.022330 Loss_D_fake 0.028867
[80/5000][330/535][7936] Loss_D: -0.050903 Loss_G: 0.054250 Loss_D_real: -0.046046 Loss_D_fake 0.004857
[80/5000][335/535][7937] Loss_D: -0.052032 Loss_G: 0.005553 Loss_D_real: -0.015599 Loss_D_fake 0.036432
[80/5000][340/535][7938] Loss_D: -0.051345 Loss_G: 0.041976 Loss_D_real: -0.038698 Loss_D_fake 0.012647
[80/5000][345/535][7939] Loss_D: -0.053858 Loss_G: 0.017112 Loss_D_real: -0.028370 Loss_D_fake 0.025488
[80/5000][350/535][7940] Loss_D: -0.052703 Loss_G: 0.047947 Loss_D_real: -0.051440 Loss_D_fake 0.001263
[80/5000][355/535][7941] Loss_D: -0.052436 Loss_G: -0.000529 Loss_D_real: -0.012227 Loss_D_fake 0.040210
[80/5000][360/535][7942] Loss_D: -0.051555 Loss_G: 0.038827 Loss_D_real: -0.037548 Loss_D_fake 0.014007
[80/5000][365/535][7943] Loss_D: -0.052326 Loss_G: 0.019451 Loss_D_real: -0.027466 Loss_D_fake 0.024860
[80/5000][370/535][7944] Loss_D: -0.052917 Loss_G: 0.041522 Loss_D_real: -0.039584 Loss_D_fake 0.013333
[80/5000][375/535][7945] Loss_D: -0.051319 Loss_G: 0.006899 Loss_D_real: -0.016976 Loss_D_fake 0.034343
[80/5000][380/535][7946] Loss_D: -0.050491 Loss_G: 0.038750 Loss_D_real: -0.043073 Loss_D_fake 0.007418
[80/5000][385/535][7947] Loss_D: -0.054606 Loss_G: 0.017882 Loss_D_real: -0.026403 Loss_D_fake 0.028202
[80/5000][390/535][7948] Loss_D: -0.055553 Loss_G: 0.027017 Loss_D_real: -0.027071 Loss_D_fake 0.028482
[80/5000][395/535][7949] Loss_D: -0.056115 Loss_G: 0.024191 Loss_D_real: -0.026337 Loss_D_fake 0.029777
[80/5000][400/535][7950] Loss_D: -0.055500 Loss_G: 0.048369 Loss_D_real: -0.041736 Loss_D_fake 0.013764
[80/5000][405/535][7951] Loss_D: -0.053898 Loss_G: 0.036764 Loss_D_real: -0.039726 Loss_D_fake 0.014172
[80/5000][410/535][7952] Loss_D: -0.054572 Loss_G: 0.010445 Loss_D_real: -0.021301 Loss_D_fake 0.033271
[80/5000][415/535][7953] Loss_D: -0.054001 Loss_G: 0.045871 Loss_D_real: -0.045214 Loss_D_fake 0.008787
[80/5000][420/535][7954] Loss_D: -0.053001 Loss_G: 0.008664 Loss_D_real: -0.012132 Loss_D_fake 0.040870
[80/5000][425/535][7955] Loss_D: -0.054085 Loss_G: 0.026199 Loss_D_real: -0.031212 Loss_D_fake 0.022873
[80/5000][430/535][7956] Loss_D: -0.053494 Loss_G: 0.009558 Loss_D_real: -0.025219 Loss_D_fake 0.028275
[80/5000][435/535][7957] Loss_D: -0.051785 Loss_G: 0.048695 Loss_D_real: -0.044355 Loss_D_fake 0.007430
[80/5000][440/535][7958] Loss_D: -0.050651 Loss_G: 0.004754 Loss_D_real: -0.016874 Loss_D_fake 0.033776
[80/5000][445/535][7959] Loss_D: -0.050604 Loss_G: 0.031144 Loss_D_real: -0.033787 Loss_D_fake 0.016817
[80/5000][450/535][7960] Loss_D: -0.050218 Loss_G: 0.010096 Loss_D_real: -0.020470 Loss_D_fake 0.029748
[80/5000][455/535][7961] Loss_D: -0.049904 Loss_G: 0.048349 Loss_D_real: -0.047596 Loss_D_fake 0.002308
[80/5000][460/535][7962] Loss_D: -0.051551 Loss_G: 0.010202 Loss_D_real: -0.018433 Loss_D_fake 0.033118
[80/5000][465/535][7963] Loss_D: -0.051226 Loss_G: 0.043702 Loss_D_real: -0.045670 Loss_D_fake 0.005556
[80/5000][470/535][7964] Loss_D: -0.053173 Loss_G: 0.038480 Loss_D_real: -0.034216 Loss_D_fake 0.018957
[80/5000][475/535][7965] Loss_D: -0.054440 Loss_G: 0.044130 Loss_D_real: -0.038250 Loss_D_fake 0.016190
[80/5000][480/535][7966] Loss_D: -0.054640 Loss_G: 0.036585 Loss_D_real: -0.035356 Loss_D_fake 0.019283
[80/5000][485/535][7967] Loss_D: -0.054442 Loss_G: 0.029985 Loss_D_real: -0.034115 Loss_D_fake 0.020327
[80/5000][490/535][7968] Loss_D: -0.052474 Loss_G: 0.056673 Loss_D_real: -0.051209 Loss_D_fake 0.001265
[80/5000][495/535][7969] Loss_D: -0.050886 Loss_G: -0.001669 Loss_D_real: -0.009022 Loss_D_fake 0.041864
[80/5000][500/535][7970] Loss_D: -0.048572 Loss_G: 0.041409 Loss_D_real: -0.047485 Loss_D_fake 0.001087
[80/5000][505/535][7971] Loss_D: -0.051274 Loss_G: 0.013839 Loss_D_real: -0.015247 Loss_D_fake 0.036027
[80/5000][510/535][7972] Loss_D: -0.053925 Loss_G: 0.030142 Loss_D_real: -0.032879 Loss_D_fake 0.021046
[80/5000][515/535][7973] Loss_D: -0.051779 Loss_G: 0.055185 Loss_D_real: -0.054162 Loss_D_fake -0.002383
[80/5000][520/535][7974] Loss_D: -0.053686 Loss_G: 0.003766 Loss_D_real: -0.015726 Loss_D_fake 0.037961
[80/5000][525/535][7975] Loss_D: -0.050322 Loss_G: 0.052618 Loss_D_real: -0.052744 Loss_D_fake -0.002422
[80/5000][530/535][7976] Loss_D: -0.054312 Loss_G: 0.022302 Loss_D_real: -0.027286 Loss_D_fake 0.027026
[80/5000][535/535][7977] Loss_D: -0.056988 Loss_G: 0.034592 Loss_D_real: -0.052242 Loss_D_fake 0.004745
[81/5000][5/535][7978] Loss_D: -0.053193 Loss_G: 0.054602 Loss_D_real: -0.050524 Loss_D_fake 0.002669
[81/5000][10/535][7979] Loss_D: -0.052457 Loss_G: 0.017656 Loss_D_real: -0.017264 Loss_D_fake 0.035193
[81/5000][15/535][7980] Loss_D: -0.049947 Loss_G: 0.050999 Loss_D_real: -0.050583 Loss_D_fake -0.000637
[81/5000][20/535][7981] Loss_D: -0.053196 Loss_G: 0.010521 Loss_D_real: -0.014175 Loss_D_fake 0.039020
[81/5000][25/535][7982] Loss_D: -0.053539 Loss_G: 0.036878 Loss_D_real: -0.040458 Loss_D_fake 0.013080
[81/5000][30/535][7983] Loss_D: -0.056442 Loss_G: 0.023616 Loss_D_real: -0.027514 Loss_D_fake 0.028928
[81/5000][35/535][7984] Loss_D: -0.054953 Loss_G: 0.045289 Loss_D_real: -0.041631 Loss_D_fake 0.013322
[81/5000][40/535][7985] Loss_D: -0.053295 Loss_G: 0.000883 Loss_D_real: -0.008233 Loss_D_fake 0.045062
[81/5000][45/535][7986] Loss_D: -0.048131 Loss_G: 0.039467 Loss_D_real: -0.039457 Loss_D_fake 0.008674
[81/5000][50/535][7987] Loss_D: -0.051932 Loss_G: 0.024092 Loss_D_real: -0.021207 Loss_D_fake 0.030725
[81/5000][55/535][7988] Loss_D: -0.054535 Loss_G: 0.019126 Loss_D_real: -0.025917 Loss_D_fake 0.028618
[81/5000][60/535][7989] Loss_D: -0.055388 Loss_G: 0.038733 Loss_D_real: -0.035837 Loss_D_fake 0.019551
[81/5000][65/535][7990] Loss_D: -0.053220 Loss_G: 0.043701 Loss_D_real: -0.043719 Loss_D_fake 0.009501
[81/5000][70/535][7991] Loss_D: -0.052831 Loss_G: 0.017314 Loss_D_real: -0.021620 Loss_D_fake 0.031211
[81/5000][75/535][7992] Loss_D: -0.054627 Loss_G: 0.032379 Loss_D_real: -0.038372 Loss_D_fake 0.016254
[81/5000][80/535][7993] Loss_D: -0.055227 Loss_G: 0.039585 Loss_D_real: -0.037748 Loss_D_fake 0.017479
[81/5000][85/535][7994] Loss_D: -0.054127 Loss_G: 0.005668 Loss_D_real: -0.017091 Loss_D_fake 0.037036
[81/5000][90/535][7995] Loss_D: -0.050778 Loss_G: 0.051541 Loss_D_real: -0.049164 Loss_D_fake 0.001614
[81/5000][95/535][7996] Loss_D: -0.050114 Loss_G: -0.007793 Loss_D_real: -0.005290 Loss_D_fake 0.044824
[81/5000][100/535][7997] Loss_D: -0.050533 Loss_G: 0.030245 Loss_D_real: -0.039591 Loss_D_fake 0.010942
[81/5000][105/535][7998] Loss_D: -0.051810 Loss_G: 0.039975 Loss_D_real: -0.036965 Loss_D_fake 0.014845
[81/5000][110/535][7999] Loss_D: -0.052539 Loss_G: 0.029809 Loss_D_real: -0.030082 Loss_D_fake 0.022457
[81/5000][115/535][8000] Loss_D: -0.053748 Loss_G: 0.040242 Loss_D_real: -0.040362 Loss_D_fake 0.013386
[81/5000][215/535][8001] Loss_D: -0.055259 Loss_G: 0.000775 Loss_D_real: -0.006728 Loss_D_fake 0.048531
[81/5000][220/535][8002] Loss_D: -0.053540 Loss_G: 0.030929 Loss_D_real: -0.033981 Loss_D_fake 0.019559
[81/5000][225/535][8003] Loss_D: -0.050336 Loss_G: 0.017462 Loss_D_real: -0.026711 Loss_D_fake 0.023625
[81/5000][230/535][8004] Loss_D: -0.052799 Loss_G: 0.035586 Loss_D_real: -0.046531 Loss_D_fake 0.006268
[81/5000][235/535][8005] Loss_D: -0.051798 Loss_G: 0.031470 Loss_D_real: -0.029914 Loss_D_fake 0.021884
[81/5000][240/535][8006] Loss_D: -0.055109 Loss_G: 0.023709 Loss_D_real: -0.033322 Loss_D_fake 0.021787
[81/5000][245/535][8007] Loss_D: -0.053661 Loss_G: 0.012848 Loss_D_real: -0.022700 Loss_D_fake 0.030961
[81/5000][250/535][8008] Loss_D: -0.048168 Loss_G: 0.044696 Loss_D_real: -0.041864 Loss_D_fake 0.006304
[81/5000][255/535][8009] Loss_D: -0.051183 Loss_G: 0.023686 Loss_D_real: -0.027330 Loss_D_fake 0.023853
[81/5000][260/535][8010] Loss_D: -0.051698 Loss_G: 0.043336 Loss_D_real: -0.038791 Loss_D_fake 0.012907
[81/5000][265/535][8011] Loss_D: -0.050329 Loss_G: 0.023006 Loss_D_real: -0.028878 Loss_D_fake 0.021451
[81/5000][270/535][8012] Loss_D: -0.053138 Loss_G: 0.041745 Loss_D_real: -0.041644 Loss_D_fake 0.011494
[81/5000][275/535][8013] Loss_D: -0.052283 Loss_G: 0.011637 Loss_D_real: -0.020327 Loss_D_fake 0.031957
[81/5000][280/535][8014] Loss_D: -0.050114 Loss_G: 0.053146 Loss_D_real: -0.056237 Loss_D_fake -0.006122
[81/5000][285/535][8015] Loss_D: -0.052951 Loss_G: 0.007498 Loss_D_real: -0.013344 Loss_D_fake 0.039607
[81/5000][290/535][8016] Loss_D: -0.051044 Loss_G: 0.048004 Loss_D_real: -0.048522 Loss_D_fake 0.002522
[81/5000][295/535][8017] Loss_D: -0.051719 Loss_G: 0.011222 Loss_D_real: -0.022393 Loss_D_fake 0.029326
[81/5000][300/535][8018] Loss_D: -0.053360 Loss_G: 0.044202 Loss_D_real: -0.042594 Loss_D_fake 0.010766
[81/5000][305/535][8019] Loss_D: -0.052473 Loss_G: 0.008659 Loss_D_real: -0.013647 Loss_D_fake 0.038826
[81/5000][310/535][8020] Loss_D: -0.051735 Loss_G: 0.033824 Loss_D_real: -0.037852 Loss_D_fake 0.013882
[81/5000][315/535][8021] Loss_D: -0.053506 Loss_G: 0.047732 Loss_D_real: -0.041801 Loss_D_fake 0.011706
[81/5000][320/535][8022] Loss_D: -0.051559 Loss_G: 0.010240 Loss_D_real: -0.014351 Loss_D_fake 0.037208
[81/5000][325/535][8023] Loss_D: -0.050246 Loss_G: 0.038072 Loss_D_real: -0.043179 Loss_D_fake 0.007067
[81/5000][330/535][8024] Loss_D: -0.055488 Loss_G: 0.026420 Loss_D_real: -0.033896 Loss_D_fake 0.021592
[81/5000][335/535][8025] Loss_D: -0.055546 Loss_G: 0.016051 Loss_D_real: -0.023706 Loss_D_fake 0.031839
[81/5000][340/535][8026] Loss_D: -0.052650 Loss_G: 0.019415 Loss_D_real: -0.027703 Loss_D_fake 0.024947
[81/5000][345/535][8027] Loss_D: -0.053150 Loss_G: 0.039240 Loss_D_real: -0.040167 Loss_D_fake 0.012983
[81/5000][350/535][8028] Loss_D: -0.052909 Loss_G: 0.047267 Loss_D_real: -0.036624 Loss_D_fake 0.016285
[81/5000][355/535][8029] Loss_D: -0.051049 Loss_G: 0.007607 Loss_D_real: -0.015048 Loss_D_fake 0.036002
[81/5000][360/535][8030] Loss_D: -0.051020 Loss_G: 0.030034 Loss_D_real: -0.033826 Loss_D_fake 0.017194
[81/5000][365/535][8031] Loss_D: -0.054244 Loss_G: 0.021433 Loss_D_real: -0.025490 Loss_D_fake 0.028755
[81/5000][370/535][8032] Loss_D: -0.048687 Loss_G: 0.056896 Loss_D_real: -0.056348 Loss_D_fake -0.007661
[81/5000][375/535][8033] Loss_D: -0.049725 Loss_G: 0.004786 Loss_D_real: -0.015338 Loss_D_fake 0.034387
[81/5000][380/535][8034] Loss_D: -0.050407 Loss_G: 0.036826 Loss_D_real: -0.038503 Loss_D_fake 0.011904
[81/5000][385/535][8035] Loss_D: -0.053218 Loss_G: 0.021168 Loss_D_real: -0.024325 Loss_D_fake 0.028894
[81/5000][390/535][8036] Loss_D: -0.053578 Loss_G: 0.028023 Loss_D_real: -0.030163 Loss_D_fake 0.023415
[81/5000][395/535][8037] Loss_D: -0.056858 Loss_G: 0.055240 Loss_D_real: -0.044516 Loss_D_fake 0.012342
[81/5000][400/535][8038] Loss_D: -0.053677 Loss_G: -0.001048 Loss_D_real: -0.017470 Loss_D_fake 0.036207
[81/5000][405/535][8039] Loss_D: -0.054185 Loss_G: 0.038032 Loss_D_real: -0.042415 Loss_D_fake 0.011770
[81/5000][410/535][8040] Loss_D: -0.052822 Loss_G: 0.012215 Loss_D_real: -0.019873 Loss_D_fake 0.032950
[81/5000][415/535][8041] Loss_D: -0.051481 Loss_G: 0.046099 Loss_D_real: -0.044920 Loss_D_fake 0.006561
[81/5000][420/535][8042] Loss_D: -0.053430 Loss_G: 0.016832 Loss_D_real: -0.025466 Loss_D_fake 0.027964
[81/5000][425/535][8043] Loss_D: -0.050395 Loss_G: 0.036863 Loss_D_real: -0.039666 Loss_D_fake 0.010729
[81/5000][430/535][8044] Loss_D: -0.052764 Loss_G: 0.018479 Loss_D_real: -0.028920 Loss_D_fake 0.023844
[81/5000][435/535][8045] Loss_D: -0.052398 Loss_G: 0.044091 Loss_D_real: -0.045090 Loss_D_fake 0.007308
[81/5000][440/535][8046] Loss_D: -0.051650 Loss_G: 0.004878 Loss_D_real: -0.018635 Loss_D_fake 0.033016
[81/5000][445/535][8047] Loss_D: -0.049690 Loss_G: 0.038376 Loss_D_real: -0.042503 Loss_D_fake 0.007187
[81/5000][450/535][8048] Loss_D: -0.053899 Loss_G: 0.014208 Loss_D_real: -0.023645 Loss_D_fake 0.030254
[81/5000][455/535][8049] Loss_D: -0.051224 Loss_G: 0.031635 Loss_D_real: -0.037527 Loss_D_fake 0.013697
[81/5000][460/535][8050] Loss_D: -0.049590 Loss_G: 0.029351 Loss_D_real: -0.031931 Loss_D_fake 0.017658
[81/5000][465/535][8051] Loss_D: -0.052259 Loss_G: 0.032905 Loss_D_real: -0.033198 Loss_D_fake 0.019061
[81/5000][470/535][8052] Loss_D: -0.053095 Loss_G: 0.042490 Loss_D_real: -0.042203 Loss_D_fake 0.010892
[81/5000][475/535][8053] Loss_D: -0.052798 Loss_G: 0.019180 Loss_D_real: -0.026678 Loss_D_fake 0.026121
[81/5000][480/535][8054] Loss_D: -0.048848 Loss_G: 0.054747 Loss_D_real: -0.056903 Loss_D_fake -0.008055
[81/5000][485/535][8055] Loss_D: -0.051584 Loss_G: 0.007978 Loss_D_real: -0.019239 Loss_D_fake 0.032346
[81/5000][490/535][8056] Loss_D: -0.053414 Loss_G: 0.046247 Loss_D_real: -0.047448 Loss_D_fake 0.005965
[81/5000][495/535][8057] Loss_D: -0.054688 Loss_G: 0.030985 Loss_D_real: -0.032194 Loss_D_fake 0.022495
[81/5000][500/535][8058] Loss_D: -0.054603 Loss_G: 0.052236 Loss_D_real: -0.040662 Loss_D_fake 0.013941
[81/5000][505/535][8059] Loss_D: -0.052933 Loss_G: 0.017919 Loss_D_real: -0.020840 Loss_D_fake 0.032094
[81/5000][510/535][8060] Loss_D: -0.050995 Loss_G: 0.051366 Loss_D_real: -0.046288 Loss_D_fake 0.004707
[81/5000][515/535][8061] Loss_D: -0.052665 Loss_G: 0.007144 Loss_D_real: -0.019383 Loss_D_fake 0.033282
[81/5000][520/535][8062] Loss_D: -0.050662 Loss_G: 0.055039 Loss_D_real: -0.055220 Loss_D_fake -0.004558
[81/5000][525/535][8063] Loss_D: -0.053193 Loss_G: 0.025306 Loss_D_real: -0.027429 Loss_D_fake 0.025765
[81/5000][530/535][8064] Loss_D: -0.055391 Loss_G: 0.032310 Loss_D_real: -0.036454 Loss_D_fake 0.018937
[81/5000][535/535][8065] Loss_D: -0.055536 Loss_G: -0.010304 Loss_D_real: -0.006675 Loss_D_fake 0.048861
[82/5000][5/535][8066] Loss_D: -0.052914 Loss_G: 0.036444 Loss_D_real: -0.039890 Loss_D_fake 0.013024
[82/5000][10/535][8067] Loss_D: -0.052645 Loss_G: 0.018248 Loss_D_real: -0.020684 Loss_D_fake 0.031961
[82/5000][15/535][8068] Loss_D: -0.052944 Loss_G: 0.023534 Loss_D_real: -0.030008 Loss_D_fake 0.022936
[82/5000][20/535][8069] Loss_D: -0.051613 Loss_G: 0.014022 Loss_D_real: -0.026049 Loss_D_fake 0.025564
[82/5000][25/535][8070] Loss_D: -0.051275 Loss_G: 0.058526 Loss_D_real: -0.052405 Loss_D_fake -0.001130
[82/5000][30/535][8071] Loss_D: -0.051485 Loss_G: 0.002947 Loss_D_real: -0.012490 Loss_D_fake 0.038995
[82/5000][35/535][8072] Loss_D: -0.052778 Loss_G: 0.021731 Loss_D_real: -0.034772 Loss_D_fake 0.018006
[82/5000][40/535][8073] Loss_D: -0.052722 Loss_G: 0.049455 Loss_D_real: -0.049821 Loss_D_fake 0.002901
[82/5000][45/535][8074] Loss_D: -0.052175 Loss_G: 0.001005 Loss_D_real: -0.012714 Loss_D_fake 0.039461
[82/5000][50/535][8075] Loss_D: -0.049365 Loss_G: 0.051362 Loss_D_real: -0.046432 Loss_D_fake 0.002933
[82/5000][55/535][8076] Loss_D: -0.053815 Loss_G: 0.008947 Loss_D_real: -0.020580 Loss_D_fake 0.033235
[82/5000][60/535][8077] Loss_D: -0.053012 Loss_G: 0.043869 Loss_D_real: -0.041608 Loss_D_fake 0.011404
[82/5000][65/535][8078] Loss_D: -0.052033 Loss_G: 0.044982 Loss_D_real: -0.036747 Loss_D_fake 0.015286
[82/5000][70/535][8079] Loss_D: -0.054924 Loss_G: 0.021187 Loss_D_real: -0.026689 Loss_D_fake 0.028235
[82/5000][75/535][8080] Loss_D: -0.053872 Loss_G: 0.052523 Loss_D_real: -0.053371 Loss_D_fake 0.000501
[82/5000][80/535][8081] Loss_D: -0.050642 Loss_G: -0.005075 Loss_D_real: -0.008077 Loss_D_fake 0.042566
[82/5000][85/535][8082] Loss_D: -0.050121 Loss_G: 0.040645 Loss_D_real: -0.044426 Loss_D_fake 0.005695
[82/5000][90/535][8083] Loss_D: -0.051743 Loss_G: 0.010489 Loss_D_real: -0.018005 Loss_D_fake 0.033738
[82/5000][95/535][8084] Loss_D: -0.052765 Loss_G: 0.027434 Loss_D_real: -0.030398 Loss_D_fake 0.022367
[82/5000][100/535][8085] Loss_D: -0.054871 Loss_G: 0.032986 Loss_D_real: -0.038535 Loss_D_fake 0.016336
[82/5000][105/535][8086] Loss_D: -0.054815 Loss_G: 0.044947 Loss_D_real: -0.042109 Loss_D_fake 0.012706
[82/5000][110/535][8087] Loss_D: -0.053580 Loss_G: 0.010871 Loss_D_real: -0.020892 Loss_D_fake 0.032688
[82/5000][115/535][8088] Loss_D: -0.053936 Loss_G: 0.034476 Loss_D_real: -0.037017 Loss_D_fake 0.016919
[82/5000][120/535][8089] Loss_D: -0.054249 Loss_G: 0.034308 Loss_D_real: -0.030561 Loss_D_fake 0.023688
[82/5000][125/535][8090] Loss_D: -0.053392 Loss_G: 0.013274 Loss_D_real: -0.021467 Loss_D_fake 0.031925
[82/5000][130/535][8091] Loss_D: -0.053558 Loss_G: 0.047647 Loss_D_real: -0.045970 Loss_D_fake 0.007589
[82/5000][135/535][8092] Loss_D: -0.054557 Loss_G: 0.027517 Loss_D_real: -0.024407 Loss_D_fake 0.030150
[82/5000][140/535][8093] Loss_D: -0.051323 Loss_G: 0.049173 Loss_D_real: -0.044282 Loss_D_fake 0.007042
[82/5000][145/535][8094] Loss_D: -0.053571 Loss_G: 0.011588 Loss_D_real: -0.023340 Loss_D_fake 0.030232
[82/5000][150/535][8095] Loss_D: -0.048889 Loss_G: 0.045444 Loss_D_real: -0.050497 Loss_D_fake -0.001608
[82/5000][155/535][8096] Loss_D: -0.053812 Loss_G: 0.015342 Loss_D_real: -0.019502 Loss_D_fake 0.034311
[82/5000][160/535][8097] Loss_D: -0.054019 Loss_G: 0.034745 Loss_D_real: -0.041313 Loss_D_fake 0.012706
[82/5000][165/535][8098] Loss_D: -0.053628 Loss_G: 0.028685 Loss_D_real: -0.029143 Loss_D_fake 0.024485
[82/5000][170/535][8099] Loss_D: -0.053654 Loss_G: 0.040910 Loss_D_real: -0.038434 Loss_D_fake 0.015219
[82/5000][175/535][8100] Loss_D: -0.055011 Loss_G: 0.017468 Loss_D_real: -0.025682 Loss_D_fake 0.029330
[82/5000][180/535][8101] Loss_D: -0.051163 Loss_G: 0.038773 Loss_D_real: -0.044150 Loss_D_fake 0.007013
[82/5000][185/535][8102] Loss_D: -0.052706 Loss_G: 0.039252 Loss_D_real: -0.037147 Loss_D_fake 0.015559
[82/5000][190/535][8103] Loss_D: -0.051937 Loss_G: 0.007152 Loss_D_real: -0.021310 Loss_D_fake 0.030627
[82/5000][195/535][8104] Loss_D: -0.047453 Loss_G: 0.054824 Loss_D_real: -0.057118 Loss_D_fake -0.009665
[82/5000][200/535][8105] Loss_D: -0.050944 Loss_G: -0.002156 Loss_D_real: -0.004094 Loss_D_fake 0.046850
[82/5000][205/535][8106] Loss_D: -0.049357 Loss_G: 0.040165 Loss_D_real: -0.045145 Loss_D_fake 0.004212
[82/5000][210/535][8107] Loss_D: -0.049108 Loss_G: 0.009258 Loss_D_real: -0.010201 Loss_D_fake 0.038907
[82/5000][215/535][8108] Loss_D: -0.050386 Loss_G: 0.043772 Loss_D_real: -0.043753 Loss_D_fake 0.006633
[82/5000][220/535][8109] Loss_D: -0.052001 Loss_G: 0.010004 Loss_D_real: -0.019053 Loss_D_fake 0.032949
[82/5000][225/535][8110] Loss_D: -0.052312 Loss_G: 0.038014 Loss_D_real: -0.039139 Loss_D_fake 0.013173
[82/5000][230/535][8111] Loss_D: -0.051412 Loss_G: 0.007255 Loss_D_real: -0.017060 Loss_D_fake 0.034352
[82/5000][235/535][8112] Loss_D: -0.050894 Loss_G: 0.044440 Loss_D_real: -0.051275 Loss_D_fake -0.000381
[82/5000][240/535][8113] Loss_D: -0.053097 Loss_G: 0.017292 Loss_D_real: -0.026844 Loss_D_fake 0.026253
[82/5000][245/535][8114] Loss_D: -0.054533 Loss_G: 0.031671 Loss_D_real: -0.036836 Loss_D_fake 0.017697
[82/5000][250/535][8115] Loss_D: -0.053335 Loss_G: 0.024457 Loss_D_real: -0.031156 Loss_D_fake 0.022179
[82/5000][255/535][8116] Loss_D: -0.054200 Loss_G: 0.032194 Loss_D_real: -0.036791 Loss_D_fake 0.017409
[82/5000][260/535][8117] Loss_D: -0.051129 Loss_G: 0.000406 Loss_D_real: -0.015176 Loss_D_fake 0.035953
[82/5000][265/535][8118] Loss_D: -0.050555 Loss_G: 0.049636 Loss_D_real: -0.047428 Loss_D_fake 0.003128
[82/5000][270/535][8119] Loss_D: -0.051398 Loss_G: 0.029146 Loss_D_real: -0.031446 Loss_D_fake 0.019953
[82/5000][275/535][8120] Loss_D: -0.053088 Loss_G: 0.024837 Loss_D_real: -0.028811 Loss_D_fake 0.024277
[82/5000][280/535][8121] Loss_D: -0.054629 Loss_G: 0.017888 Loss_D_real: -0.025457 Loss_D_fake 0.029172
[82/5000][285/535][8122] Loss_D: -0.053865 Loss_G: 0.032917 Loss_D_real: -0.037464 Loss_D_fake 0.016401
[82/5000][290/535][8123] Loss_D: -0.054205 Loss_G: 0.021659 Loss_D_real: -0.026973 Loss_D_fake 0.027232
[82/5000][295/535][8124] Loss_D: -0.052470 Loss_G: 0.024285 Loss_D_real: -0.028618 Loss_D_fake 0.023852
[82/5000][300/535][8125] Loss_D: -0.052661 Loss_G: 0.002347 Loss_D_real: -0.016697 Loss_D_fake 0.035964
[82/5000][305/535][8126] Loss_D: -0.049239 Loss_G: 0.048167 Loss_D_real: -0.045935 Loss_D_fake 0.003305
[82/5000][310/535][8127] Loss_D: -0.051610 Loss_G: 0.012317 Loss_D_real: -0.017415 Loss_D_fake 0.034195
[82/5000][315/535][8128] Loss_D: -0.049751 Loss_G: 0.049019 Loss_D_real: -0.047205 Loss_D_fake 0.002546
[82/5000][320/535][8129] Loss_D: -0.052997 Loss_G: 0.021657 Loss_D_real: -0.025444 Loss_D_fake 0.027553
[82/5000][325/535][8130] Loss_D: -0.048925 Loss_G: 0.051059 Loss_D_real: -0.052453 Loss_D_fake -0.003528
[82/5000][330/535][8131] Loss_D: -0.051019 Loss_G: 0.045471 Loss_D_real: -0.043833 Loss_D_fake 0.007186
[82/5000][335/535][8132] Loss_D: -0.052650 Loss_G: 0.028546 Loss_D_real: -0.027947 Loss_D_fake 0.024703
[82/5000][340/535][8133] Loss_D: -0.051548 Loss_G: 0.056841 Loss_D_real: -0.056999 Loss_D_fake -0.005451
[82/5000][345/535][8134] Loss_D: -0.051923 Loss_G: -0.003362 Loss_D_real: -0.009847 Loss_D_fake 0.042076
[82/5000][350/535][8135] Loss_D: -0.051521 Loss_G: 0.047364 Loss_D_real: -0.048270 Loss_D_fake 0.003251
[82/5000][355/535][8136] Loss_D: -0.051300 Loss_G: -0.011761 Loss_D_real: -0.006318 Loss_D_fake 0.044982
[82/5000][360/535][8137] Loss_D: -0.049956 Loss_G: 0.040060 Loss_D_real: -0.044400 Loss_D_fake 0.005556
[82/5000][365/535][8138] Loss_D: -0.052917 Loss_G: 0.020448 Loss_D_real: -0.020418 Loss_D_fake 0.032499
[82/5000][370/535][8139] Loss_D: -0.052578 Loss_G: 0.046406 Loss_D_real: -0.046422 Loss_D_fake 0.006156
[82/5000][375/535][8140] Loss_D: -0.052244 Loss_G: 0.010863 Loss_D_real: -0.018236 Loss_D_fake 0.034008
[82/5000][380/535][8141] Loss_D: -0.050741 Loss_G: 0.047358 Loss_D_real: -0.046278 Loss_D_fake 0.004463
[82/5000][385/535][8142] Loss_D: -0.052610 Loss_G: -0.000655 Loss_D_real: -0.011902 Loss_D_fake 0.040708
[82/5000][390/535][8143] Loss_D: -0.051200 Loss_G: 0.042712 Loss_D_real: -0.045433 Loss_D_fake 0.005767
[82/5000][395/535][8144] Loss_D: -0.051869 Loss_G: 0.036103 Loss_D_real: -0.037349 Loss_D_fake 0.014520
[82/5000][400/535][8145] Loss_D: -0.050531 Loss_G: -0.000597 Loss_D_real: -0.014101 Loss_D_fake 0.036430
[82/5000][405/535][8146] Loss_D: -0.053376 Loss_G: 0.049005 Loss_D_real: -0.044303 Loss_D_fake 0.009073
[82/5000][410/535][8147] Loss_D: -0.056580 Loss_G: 0.025973 Loss_D_real: -0.031924 Loss_D_fake 0.024656
[82/5000][415/535][8148] Loss_D: -0.052849 Loss_G: 0.055585 Loss_D_real: -0.049866 Loss_D_fake 0.002983
[82/5000][420/535][8149] Loss_D: -0.054386 Loss_G: 0.036663 Loss_D_real: -0.035222 Loss_D_fake 0.019164
[82/5000][425/535][8150] Loss_D: -0.053143 Loss_G: 0.043279 Loss_D_real: -0.045085 Loss_D_fake 0.008058
[82/5000][430/535][8151] Loss_D: -0.055297 Loss_G: 0.008381 Loss_D_real: -0.016431 Loss_D_fake 0.038866
[82/5000][435/535][8152] Loss_D: -0.053046 Loss_G: 0.042104 Loss_D_real: -0.042409 Loss_D_fake 0.010637
[82/5000][440/535][8153] Loss_D: -0.052548 Loss_G: 0.015568 Loss_D_real: -0.022514 Loss_D_fake 0.030034
[82/5000][445/535][8154] Loss_D: -0.050272 Loss_G: 0.047239 Loss_D_real: -0.048883 Loss_D_fake 0.001390
[82/5000][450/535][8155] Loss_D: -0.052523 Loss_G: 0.011859 Loss_D_real: -0.022580 Loss_D_fake 0.029942
[82/5000][455/535][8156] Loss_D: -0.052071 Loss_G: 0.048019 Loss_D_real: -0.042076 Loss_D_fake 0.009995
[82/5000][460/535][8157] Loss_D: -0.053205 Loss_G: 0.007708 Loss_D_real: -0.019958 Loss_D_fake 0.033247
[82/5000][465/535][8158] Loss_D: -0.051786 Loss_G: 0.047151 Loss_D_real: -0.045883 Loss_D_fake 0.005903
[82/5000][470/535][8159] Loss_D: -0.050195 Loss_G: -0.003601 Loss_D_real: -0.005880 Loss_D_fake 0.044315
[82/5000][475/535][8160] Loss_D: -0.050518 Loss_G: 0.035439 Loss_D_real: -0.036672 Loss_D_fake 0.013847
[82/5000][480/535][8161] Loss_D: -0.052762 Loss_G: 0.038327 Loss_D_real: -0.038470 Loss_D_fake 0.014293
[82/5000][485/535][8162] Loss_D: -0.054160 Loss_G: 0.024884 Loss_D_real: -0.027221 Loss_D_fake 0.026939
[82/5000][490/535][8163] Loss_D: -0.050077 Loss_G: 0.055572 Loss_D_real: -0.052982 Loss_D_fake -0.002905
[82/5000][495/535][8164] Loss_D: -0.053057 Loss_G: 0.007353 Loss_D_real: -0.015765 Loss_D_fake 0.037291
[82/5000][500/535][8165] Loss_D: -0.052884 Loss_G: 0.045420 Loss_D_real: -0.038164 Loss_D_fake 0.014721
[82/5000][505/535][8166] Loss_D: -0.053243 Loss_G: 0.003577 Loss_D_real: -0.011757 Loss_D_fake 0.041486
[82/5000][510/535][8167] Loss_D: -0.048965 Loss_G: 0.045753 Loss_D_real: -0.047515 Loss_D_fake 0.001450
[82/5000][515/535][8168] Loss_D: -0.051609 Loss_G: 0.012108 Loss_D_real: -0.022758 Loss_D_fake 0.028851
[82/5000][520/535][8169] Loss_D: -0.052470 Loss_G: 0.042500 Loss_D_real: -0.050393 Loss_D_fake 0.002077
[82/5000][525/535][8170] Loss_D: -0.052455 Loss_G: 0.016970 Loss_D_real: -0.023342 Loss_D_fake 0.029114
[82/5000][530/535][8171] Loss_D: -0.053571 Loss_G: 0.033979 Loss_D_real: -0.036304 Loss_D_fake 0.017267
[82/5000][535/535][8172] Loss_D: -0.050427 Loss_G: 0.047842 Loss_D_real: -0.038534 Loss_D_fake 0.011894
[83/5000][5/535][8173] Loss_D: -0.053111 Loss_G: 0.024286 Loss_D_real: -0.031872 Loss_D_fake 0.021238
[83/5000][10/535][8174] Loss_D: -0.051959 Loss_G: 0.029656 Loss_D_real: -0.035813 Loss_D_fake 0.016146
[83/5000][15/535][8175] Loss_D: -0.055005 Loss_G: 0.041439 Loss_D_real: -0.039556 Loss_D_fake 0.015450
[83/5000][20/535][8176] Loss_D: -0.053538 Loss_G: 0.019179 Loss_D_real: -0.026929 Loss_D_fake 0.026609
[83/5000][25/535][8177] Loss_D: -0.054226 Loss_G: 0.041716 Loss_D_real: -0.042712 Loss_D_fake 0.011515
[83/5000][30/535][8178] Loss_D: -0.054292 Loss_G: 0.024197 Loss_D_real: -0.028047 Loss_D_fake 0.026245
[83/5000][35/535][8179] Loss_D: -0.051497 Loss_G: 0.041681 Loss_D_real: -0.040264 Loss_D_fake 0.011233
[83/5000][40/535][8180] Loss_D: -0.051010 Loss_G: 0.005662 Loss_D_real: -0.019917 Loss_D_fake 0.031093
[83/5000][45/535][8181] Loss_D: -0.048963 Loss_G: 0.050905 Loss_D_real: -0.053678 Loss_D_fake -0.004716
[83/5000][50/535][8182] Loss_D: -0.052869 Loss_G: 0.020890 Loss_D_real: -0.029198 Loss_D_fake 0.023671
[83/5000][55/535][8183] Loss_D: -0.054493 Loss_G: 0.045706 Loss_D_real: -0.044532 Loss_D_fake 0.009961
[83/5000][60/535][8184] Loss_D: -0.053436 Loss_G: 0.009711 Loss_D_real: -0.021054 Loss_D_fake 0.032382
[83/5000][65/535][8185] Loss_D: -0.051983 Loss_G: 0.040860 Loss_D_real: -0.048381 Loss_D_fake 0.003602
[83/5000][70/535][8186] Loss_D: -0.052346 Loss_G: -0.001312 Loss_D_real: -0.011416 Loss_D_fake 0.040930
[83/5000][75/535][8187] Loss_D: -0.049686 Loss_G: 0.037797 Loss_D_real: -0.041127 Loss_D_fake 0.008559
[83/5000][80/535][8188] Loss_D: -0.049206 Loss_G: 0.010066 Loss_D_real: -0.017311 Loss_D_fake 0.031895
[83/5000][85/535][8189] Loss_D: -0.048005 Loss_G: 0.042346 Loss_D_real: -0.043757 Loss_D_fake 0.004248
[83/5000][90/535][8190] Loss_D: -0.050713 Loss_G: 0.015510 Loss_D_real: -0.017519 Loss_D_fake 0.033194
[83/5000][95/535][8191] Loss_D: -0.050722 Loss_G: 0.031531 Loss_D_real: -0.033466 Loss_D_fake 0.017256
[83/5000][100/535][8192] Loss_D: -0.053511 Loss_G: 0.020446 Loss_D_real: -0.024260 Loss_D_fake 0.029251
[83/5000][105/535][8193] Loss_D: -0.052255 Loss_G: 0.043568 Loss_D_real: -0.040533 Loss_D_fake 0.011722
[83/5000][110/535][8194] Loss_D: -0.052297 Loss_G: 0.026630 Loss_D_real: -0.030788 Loss_D_fake 0.021510
[83/5000][115/535][8195] Loss_D: -0.054040 Loss_G: 0.036668 Loss_D_real: -0.038703 Loss_D_fake 0.015337
[83/5000][120/535][8196] Loss_D: -0.054010 Loss_G: 0.013161 Loss_D_real: -0.021928 Loss_D_fake 0.032082
[83/5000][125/535][8197] Loss_D: -0.051987 Loss_G: 0.046590 Loss_D_real: -0.053280 Loss_D_fake -0.001293
[83/5000][130/535][8198] Loss_D: -0.054237 Loss_G: 0.009253 Loss_D_real: -0.017648 Loss_D_fake 0.036588
[83/5000][135/535][8199] Loss_D: -0.052969 Loss_G: 0.051191 Loss_D_real: -0.049404 Loss_D_fake 0.003565
[83/5000][140/535][8200] Loss_D: -0.053836 Loss_G: 0.012873 Loss_D_real: -0.020054 Loss_D_fake 0.033783
[83/5000][145/535][8201] Loss_D: -0.050195 Loss_G: 0.048504 Loss_D_real: -0.047487 Loss_D_fake 0.002708
[83/5000][150/535][8202] Loss_D: -0.051582 Loss_G: 0.009878 Loss_D_real: -0.014105 Loss_D_fake 0.037478
[83/5000][155/535][8203] Loss_D: -0.052302 Loss_G: 0.037668 Loss_D_real: -0.042640 Loss_D_fake 0.009662
[83/5000][160/535][8204] Loss_D: -0.052700 Loss_G: 0.019751 Loss_D_real: -0.030747 Loss_D_fake 0.021954
[83/5000][165/535][8205] Loss_D: -0.050478 Loss_G: 0.055502 Loss_D_real: -0.053790 Loss_D_fake -0.003312
[83/5000][170/535][8206] Loss_D: -0.053260 Loss_G: 0.007065 Loss_D_real: -0.018916 Loss_D_fake 0.034344
[83/5000][175/535][8207] Loss_D: -0.051513 Loss_G: 0.037705 Loss_D_real: -0.035591 Loss_D_fake 0.015923
[83/5000][180/535][8208] Loss_D: -0.053383 Loss_G: 0.046105 Loss_D_real: -0.045414 Loss_D_fake 0.007969
[83/5000][185/535][8209] Loss_D: -0.053431 Loss_G: 0.004149 Loss_D_real: -0.012092 Loss_D_fake 0.041338
[83/5000][190/535][8210] Loss_D: -0.052608 Loss_G: 0.043829 Loss_D_real: -0.042438 Loss_D_fake 0.010170
[83/5000][195/535][8211] Loss_D: -0.052670 Loss_G: 0.038335 Loss_D_real: -0.035429 Loss_D_fake 0.017240
[83/5000][200/535][8212] Loss_D: -0.053279 Loss_G: 0.044550 Loss_D_real: -0.039861 Loss_D_fake 0.013418
[83/5000][205/535][8213] Loss_D: -0.052649 Loss_G: 0.015838 Loss_D_real: -0.018464 Loss_D_fake 0.034185
[83/5000][210/535][8214] Loss_D: -0.052683 Loss_G: 0.045705 Loss_D_real: -0.042327 Loss_D_fake 0.010356
[83/5000][215/535][8215] Loss_D: -0.051438 Loss_G: 0.011952 Loss_D_real: -0.012616 Loss_D_fake 0.038822
[83/5000][220/535][8216] Loss_D: -0.051529 Loss_G: 0.048485 Loss_D_real: -0.045206 Loss_D_fake 0.006323
[83/5000][225/535][8217] Loss_D: -0.051054 Loss_G: 0.010061 Loss_D_real: -0.018224 Loss_D_fake 0.032829
[83/5000][230/535][8218] Loss_D: -0.052197 Loss_G: 0.049537 Loss_D_real: -0.044580 Loss_D_fake 0.007617
[83/5000][235/535][8219] Loss_D: -0.052271 Loss_G: 0.003853 Loss_D_real: -0.013651 Loss_D_fake 0.038620
[83/5000][240/535][8220] Loss_D: -0.053026 Loss_G: 0.042174 Loss_D_real: -0.041141 Loss_D_fake 0.011885
[83/5000][245/535][8221] Loss_D: -0.051511 Loss_G: 0.043484 Loss_D_real: -0.045941 Loss_D_fake 0.005570
[83/5000][250/535][8222] Loss_D: -0.052001 Loss_G: 0.015667 Loss_D_real: -0.025255 Loss_D_fake 0.026745
[83/5000][255/535][8223] Loss_D: -0.052343 Loss_G: 0.056422 Loss_D_real: -0.053292 Loss_D_fake -0.000949
[83/5000][260/535][8224] Loss_D: -0.049945 Loss_G: 0.012493 Loss_D_real: -0.017357 Loss_D_fake 0.032588
[83/5000][265/535][8225] Loss_D: -0.047797 Loss_G: 0.053953 Loss_D_real: -0.058973 Loss_D_fake -0.011175
[83/5000][270/535][8226] Loss_D: -0.052955 Loss_G: -0.000044 Loss_D_real: -0.019032 Loss_D_fake 0.033923
[83/5000][275/535][8227] Loss_D: -0.051548 Loss_G: 0.034758 Loss_D_real: -0.038222 Loss_D_fake 0.013326
[83/5000][280/535][8228] Loss_D: -0.050957 Loss_G: 0.044717 Loss_D_real: -0.045058 Loss_D_fake 0.005899
[83/5000][285/535][8229] Loss_D: -0.054056 Loss_G: 0.026118 Loss_D_real: -0.031861 Loss_D_fake 0.022195
[83/5000][290/535][8230] Loss_D: -0.054677 Loss_G: 0.036852 Loss_D_real: -0.040845 Loss_D_fake 0.013832
[83/5000][295/535][8231] Loss_D: -0.054476 Loss_G: 0.024399 Loss_D_real: -0.033131 Loss_D_fake 0.021345
[83/5000][300/535][8232] Loss_D: -0.054738 Loss_G: -0.000860 Loss_D_real: -0.018349 Loss_D_fake 0.036389
[83/5000][305/535][8233] Loss_D: -0.052215 Loss_G: 0.053114 Loss_D_real: -0.047510 Loss_D_fake 0.004705
[83/5000][310/535][8234] Loss_D: -0.051137 Loss_G: -0.004866 Loss_D_real: -0.010388 Loss_D_fake 0.040749
[83/5000][315/535][8235] Loss_D: -0.051299 Loss_G: 0.040460 Loss_D_real: -0.044824 Loss_D_fake 0.006475
[83/5000][320/535][8236] Loss_D: -0.052363 Loss_G: 0.019018 Loss_D_real: -0.024244 Loss_D_fake 0.028119
[83/5000][325/535][8237] Loss_D: -0.052136 Loss_G: 0.041016 Loss_D_real: -0.041496 Loss_D_fake 0.010641
[83/5000][330/535][8238] Loss_D: -0.052123 Loss_G: 0.012133 Loss_D_real: -0.022046 Loss_D_fake 0.030077
[83/5000][335/535][8239] Loss_D: -0.048908 Loss_G: 0.054893 Loss_D_real: -0.053895 Loss_D_fake -0.004987
[83/5000][340/535][8240] Loss_D: -0.051420 Loss_G: 0.018102 Loss_D_real: -0.022922 Loss_D_fake 0.028498
[83/5000][345/535][8241] Loss_D: -0.050012 Loss_G: 0.013700 Loss_D_real: -0.017787 Loss_D_fake 0.032226
[83/5000][350/535][8242] Loss_D: -0.052389 Loss_G: 0.038425 Loss_D_real: -0.042111 Loss_D_fake 0.010279
[83/5000][355/535][8243] Loss_D: -0.052698 Loss_G: 0.028752 Loss_D_real: -0.031722 Loss_D_fake 0.020976
[83/5000][360/535][8244] Loss_D: -0.054035 Loss_G: 0.032966 Loss_D_real: -0.036434 Loss_D_fake 0.017601
[83/5000][365/535][8245] Loss_D: -0.053224 Loss_G: 0.040998 Loss_D_real: -0.043067 Loss_D_fake 0.010157
[83/5000][370/535][8246] Loss_D: -0.054659 Loss_G: 0.030920 Loss_D_real: -0.035989 Loss_D_fake 0.018670
[83/5000][375/535][8247] Loss_D: -0.052314 Loss_G: 0.028484 Loss_D_real: -0.030611 Loss_D_fake 0.021703
[83/5000][380/535][8248] Loss_D: -0.051033 Loss_G: -0.002231 Loss_D_real: -0.015126 Loss_D_fake 0.035906
[83/5000][385/535][8249] Loss_D: -0.050506 Loss_G: 0.029641 Loss_D_real: -0.034223 Loss_D_fake 0.016284
[83/5000][390/535][8250] Loss_D: -0.050784 Loss_G: 0.001090 Loss_D_real: -0.010763 Loss_D_fake 0.040021
[83/5000][395/535][8251] Loss_D: -0.049412 Loss_G: 0.045033 Loss_D_real: -0.042043 Loss_D_fake 0.007370
[83/5000][400/535][8252] Loss_D: -0.052579 Loss_G: 0.012203 Loss_D_real: -0.024109 Loss_D_fake 0.028470
[83/5000][405/535][8253] Loss_D: -0.050052 Loss_G: 0.041012 Loss_D_real: -0.041510 Loss_D_fake 0.008543
[83/5000][410/535][8254] Loss_D: -0.053196 Loss_G: 0.030619 Loss_D_real: -0.032160 Loss_D_fake 0.021035
[83/5000][415/535][8255] Loss_D: -0.052836 Loss_G: -0.001776 Loss_D_real: -0.014580 Loss_D_fake 0.038256
[83/5000][420/535][8256] Loss_D: -0.050058 Loss_G: 0.052506 Loss_D_real: -0.055784 Loss_D_fake -0.005725
[83/5000][425/535][8257] Loss_D: -0.053163 Loss_G: 0.018242 Loss_D_real: -0.024276 Loss_D_fake 0.028887
[83/5000][430/535][8258] Loss_D: -0.051203 Loss_G: 0.043162 Loss_D_real: -0.039305 Loss_D_fake 0.011897
[83/5000][435/535][8259] Loss_D: -0.051907 Loss_G: 0.027445 Loss_D_real: -0.028070 Loss_D_fake 0.023837
[83/5000][440/535][8260] Loss_D: -0.054292 Loss_G: 0.046079 Loss_D_real: -0.048289 Loss_D_fake 0.006003
[83/5000][445/535][8261] Loss_D: -0.052508 Loss_G: 0.000117 Loss_D_real: -0.015275 Loss_D_fake 0.037233
[83/5000][450/535][8262] Loss_D: -0.052619 Loss_G: 0.035049 Loss_D_real: -0.036553 Loss_D_fake 0.016066
[83/5000][455/535][8263] Loss_D: -0.053610 Loss_G: 0.033615 Loss_D_real: -0.033664 Loss_D_fake 0.019946
[83/5000][460/535][8264] Loss_D: -0.054042 Loss_G: 0.035871 Loss_D_real: -0.039352 Loss_D_fake 0.014690
[83/5000][465/535][8265] Loss_D: -0.052199 Loss_G: 0.038318 Loss_D_real: -0.035855 Loss_D_fake 0.016344
[83/5000][470/535][8266] Loss_D: -0.051824 Loss_G: 0.008717 Loss_D_real: -0.017144 Loss_D_fake 0.034681
[83/5000][475/535][8267] Loss_D: -0.049535 Loss_G: 0.038721 Loss_D_real: -0.036785 Loss_D_fake 0.012750
[83/5000][480/535][8268] Loss_D: -0.051113 Loss_G: 0.026615 Loss_D_real: -0.027821 Loss_D_fake 0.023292
[83/5000][485/535][8269] Loss_D: -0.049625 Loss_G: -0.001820 Loss_D_real: -0.015034 Loss_D_fake 0.034591
[83/5000][490/535][8270] Loss_D: -0.047099 Loss_G: 0.043682 Loss_D_real: -0.049371 Loss_D_fake -0.002271
[83/5000][495/535][8271] Loss_D: -0.049496 Loss_G: 0.004296 Loss_D_real: -0.018185 Loss_D_fake 0.031311
[83/5000][500/535][8272] Loss_D: -0.048870 Loss_G: 0.031421 Loss_D_real: -0.037853 Loss_D_fake 0.011017
[83/5000][505/535][8273] Loss_D: -0.050755 Loss_G: 0.016639 Loss_D_real: -0.025540 Loss_D_fake 0.025215
[83/5000][510/535][8274] Loss_D: -0.049876 Loss_G: 0.035285 Loss_D_real: -0.036068 Loss_D_fake 0.013808
[83/5000][515/535][8275] Loss_D: -0.050335 Loss_G: 0.019063 Loss_D_real: -0.025968 Loss_D_fake 0.024368
[83/5000][520/535][8276] Loss_D: -0.050130 Loss_G: 0.032765 Loss_D_real: -0.037193 Loss_D_fake 0.012937
[83/5000][525/535][8277] Loss_D: -0.052411 Loss_G: 0.036254 Loss_D_real: -0.036469 Loss_D_fake 0.015942
[83/5000][530/535][8278] Loss_D: -0.052924 Loss_G: 0.024735 Loss_D_real: -0.031312 Loss_D_fake 0.021611
[83/5000][535/535][8279] Loss_D: -0.053249 Loss_G: 0.055653 Loss_D_real: -0.052753 Loss_D_fake 0.000496
[84/5000][5/535][8280] Loss_D: -0.049043 Loss_G: 0.015565 Loss_D_real: -0.017176 Loss_D_fake 0.031867
[84/5000][10/535][8281] Loss_D: -0.050212 Loss_G: 0.037683 Loss_D_real: -0.040441 Loss_D_fake 0.009772
[84/5000][15/535][8282] Loss_D: -0.050464 Loss_G: 0.012440 Loss_D_real: -0.020494 Loss_D_fake 0.029970
[84/5000][20/535][8283] Loss_D: -0.051272 Loss_G: 0.051497 Loss_D_real: -0.052140 Loss_D_fake -0.000868
[84/5000][25/535][8284] Loss_D: -0.053562 Loss_G: 0.000273 Loss_D_real: -0.016255 Loss_D_fake 0.037307
[84/5000][30/535][8285] Loss_D: -0.051772 Loss_G: 0.043838 Loss_D_real: -0.048447 Loss_D_fake 0.003325
[84/5000][35/535][8286] Loss_D: -0.049464 Loss_G: 0.061272 Loss_D_real: -0.057135 Loss_D_fake -0.007671
[84/5000][40/535][8287] Loss_D: -0.050972 Loss_G: -0.001126 Loss_D_real: -0.008454 Loss_D_fake 0.042517
[84/5000][45/535][8288] Loss_D: -0.049518 Loss_G: 0.052298 Loss_D_real: -0.050100 Loss_D_fake -0.000583
[84/5000][50/535][8289] Loss_D: -0.053252 Loss_G: 0.020637 Loss_D_real: -0.026635 Loss_D_fake 0.026618
[84/5000][55/535][8290] Loss_D: -0.054916 Loss_G: 0.045168 Loss_D_real: -0.046544 Loss_D_fake 0.008371
[84/5000][60/535][8291] Loss_D: -0.055411 Loss_G: 0.049039 Loss_D_real: -0.045680 Loss_D_fake 0.009731
[84/5000][65/535][8292] Loss_D: -0.054837 Loss_G: 0.003660 Loss_D_real: -0.011501 Loss_D_fake 0.043336
[84/5000][70/535][8293] Loss_D: -0.052822 Loss_G: 0.050680 Loss_D_real: -0.050612 Loss_D_fake 0.002211
[84/5000][75/535][8294] Loss_D: -0.054139 Loss_G: 0.015650 Loss_D_real: -0.020313 Loss_D_fake 0.033826
[84/5000][80/535][8295] Loss_D: -0.052766 Loss_G: 0.056658 Loss_D_real: -0.049990 Loss_D_fake 0.002777
[84/5000][85/535][8296] Loss_D: -0.051231 Loss_G: -0.002153 Loss_D_real: -0.006964 Loss_D_fake 0.044268
[84/5000][90/535][8297] Loss_D: -0.053182 Loss_G: 0.037560 Loss_D_real: -0.040006 Loss_D_fake 0.013176
[84/5000][95/535][8298] Loss_D: -0.052673 Loss_G: 0.022025 Loss_D_real: -0.023445 Loss_D_fake 0.029228
[84/5000][100/535][8299] Loss_D: -0.052462 Loss_G: 0.053236 Loss_D_real: -0.048983 Loss_D_fake 0.003479
[84/5000][105/535][8300] Loss_D: -0.049425 Loss_G: 0.002225 Loss_D_real: -0.013269 Loss_D_fake 0.036156
[84/5000][110/535][8301] Loss_D: -0.051069 Loss_G: 0.038932 Loss_D_real: -0.038663 Loss_D_fake 0.012406
[84/5000][115/535][8302] Loss_D: -0.051439 Loss_G: 0.010279 Loss_D_real: -0.018326 Loss_D_fake 0.033114
[84/5000][120/535][8303] Loss_D: -0.055044 Loss_G: 0.031588 Loss_D_real: -0.042049 Loss_D_fake 0.012995
[84/5000][125/535][8304] Loss_D: -0.054125 Loss_G: 0.049210 Loss_D_real: -0.044121 Loss_D_fake 0.010004
[84/5000][130/535][8305] Loss_D: -0.053645 Loss_G: 0.024288 Loss_D_real: -0.028221 Loss_D_fake 0.025424
[84/5000][135/535][8306] Loss_D: -0.053704 Loss_G: 0.015993 Loss_D_real: -0.022416 Loss_D_fake 0.031288
[84/5000][140/535][8307] Loss_D: -0.052329 Loss_G: 0.039772 Loss_D_real: -0.039689 Loss_D_fake 0.012640
[84/5000][145/535][8308] Loss_D: -0.055488 Loss_G: 0.027755 Loss_D_real: -0.032331 Loss_D_fake 0.023156
[84/5000][150/535][8309] Loss_D: -0.052223 Loss_G: 0.055267 Loss_D_real: -0.050611 Loss_D_fake 0.001613
[84/5000][155/535][8310] Loss_D: -0.051029 Loss_G: -0.004585 Loss_D_real: -0.008754 Loss_D_fake 0.042275
[84/5000][160/535][8311] Loss_D: -0.049669 Loss_G: 0.041446 Loss_D_real: -0.045414 Loss_D_fake 0.004256
[84/5000][165/535][8312] Loss_D: -0.050208 Loss_G: -0.000341 Loss_D_real: -0.008611 Loss_D_fake 0.041597
[84/5000][170/535][8313] Loss_D: -0.049135 Loss_G: 0.040539 Loss_D_real: -0.039501 Loss_D_fake 0.009634
[84/5000][175/535][8314] Loss_D: -0.050632 Loss_G: 0.007928 Loss_D_real: -0.017616 Loss_D_fake 0.033016
[84/5000][180/535][8315] Loss_D: -0.052991 Loss_G: 0.046313 Loss_D_real: -0.044851 Loss_D_fake 0.008140
[84/5000][185/535][8316] Loss_D: -0.050205 Loss_G: -0.002295 Loss_D_real: -0.008508 Loss_D_fake 0.041696
[84/5000][190/535][8317] Loss_D: -0.052015 Loss_G: 0.029648 Loss_D_real: -0.032275 Loss_D_fake 0.019741
[84/5000][195/535][8318] Loss_D: -0.053199 Loss_G: 0.045411 Loss_D_real: -0.043572 Loss_D_fake 0.009627
[84/5000][200/535][8319] Loss_D: -0.054516 Loss_G: 0.021011 Loss_D_real: -0.028688 Loss_D_fake 0.025827
[84/5000][205/535][8320] Loss_D: -0.050348 Loss_G: 0.049786 Loss_D_real: -0.049896 Loss_D_fake 0.000453
[84/5000][210/535][8321] Loss_D: -0.050826 Loss_G: 0.007256 Loss_D_real: -0.014519 Loss_D_fake 0.036306
[84/5000][215/535][8322] Loss_D: -0.051916 Loss_G: 0.048870 Loss_D_real: -0.045467 Loss_D_fake 0.006448
[84/5000][220/535][8323] Loss_D: -0.052589 Loss_G: 0.005305 Loss_D_real: -0.018893 Loss_D_fake 0.033696
[84/5000][225/535][8324] Loss_D: -0.050519 Loss_G: 0.038219 Loss_D_real: -0.043145 Loss_D_fake 0.007374
[84/5000][230/535][8325] Loss_D: -0.053427 Loss_G: 0.029588 Loss_D_real: -0.032741 Loss_D_fake 0.020686
[84/5000][235/535][8326] Loss_D: -0.054664 Loss_G: 0.038447 Loss_D_real: -0.035717 Loss_D_fake 0.018947
[84/5000][240/535][8327] Loss_D: -0.053752 Loss_G: 0.019038 Loss_D_real: -0.027327 Loss_D_fake 0.026425
[84/5000][245/535][8328] Loss_D: -0.053887 Loss_G: 0.034927 Loss_D_real: -0.038529 Loss_D_fake 0.015358
[84/5000][250/535][8329] Loss_D: -0.054471 Loss_G: 0.020168 Loss_D_real: -0.032381 Loss_D_fake 0.022090
[84/5000][255/535][8330] Loss_D: -0.052038 Loss_G: 0.047839 Loss_D_real: -0.043433 Loss_D_fake 0.008605
[84/5000][260/535][8331] Loss_D: -0.048605 Loss_G: 0.001121 Loss_D_real: -0.009920 Loss_D_fake 0.038685
[84/5000][265/535][8332] Loss_D: -0.048453 Loss_G: 0.041814 Loss_D_real: -0.045021 Loss_D_fake 0.003432
[84/5000][270/535][8333] Loss_D: -0.050380 Loss_G: 0.016638 Loss_D_real: -0.024796 Loss_D_fake 0.025585
[84/5000][275/535][8334] Loss_D: -0.053259 Loss_G: 0.041069 Loss_D_real: -0.040872 Loss_D_fake 0.012386
[84/5000][280/535][8335] Loss_D: -0.050792 Loss_G: 0.017850 Loss_D_real: -0.032659 Loss_D_fake 0.018133
[84/5000][285/535][8336] Loss_D: -0.052411 Loss_G: 0.046336 Loss_D_real: -0.048947 Loss_D_fake 0.003465
[84/5000][290/535][8337] Loss_D: -0.051832 Loss_G: 0.038836 Loss_D_real: -0.037325 Loss_D_fake 0.014507
[84/5000][295/535][8338] Loss_D: -0.051882 Loss_G: 0.019779 Loss_D_real: -0.024445 Loss_D_fake 0.027437
[84/5000][300/535][8339] Loss_D: -0.049901 Loss_G: 0.043300 Loss_D_real: -0.041720 Loss_D_fake 0.008181
[84/5000][305/535][8340] Loss_D: -0.051217 Loss_G: 0.005155 Loss_D_real: -0.011793 Loss_D_fake 0.039423
[84/5000][310/535][8341] Loss_D: -0.050423 Loss_G: 0.046346 Loss_D_real: -0.049508 Loss_D_fake 0.000915
[84/5000][315/535][8342] Loss_D: -0.051315 Loss_G: 0.028163 Loss_D_real: -0.023328 Loss_D_fake 0.027988
[84/5000][320/535][8343] Loss_D: -0.050432 Loss_G: 0.049355 Loss_D_real: -0.045126 Loss_D_fake 0.005305
[84/5000][325/535][8344] Loss_D: -0.051936 Loss_G: 0.008099 Loss_D_real: -0.017144 Loss_D_fake 0.034793
[84/5000][330/535][8345] Loss_D: -0.049745 Loss_G: 0.044834 Loss_D_real: -0.044809 Loss_D_fake 0.004936
[84/5000][335/535][8346] Loss_D: -0.052104 Loss_G: 0.007919 Loss_D_real: -0.014376 Loss_D_fake 0.037728
[84/5000][340/535][8347] Loss_D: -0.051927 Loss_G: 0.043379 Loss_D_real: -0.044948 Loss_D_fake 0.006979
[84/5000][345/535][8348] Loss_D: -0.050577 Loss_G: -0.008816 Loss_D_real: 0.001153 Loss_D_fake 0.051730
[84/5000][350/535][8349] Loss_D: -0.051019 Loss_G: 0.038724 Loss_D_real: -0.039974 Loss_D_fake 0.011045
[84/5000][355/535][8350] Loss_D: -0.050034 Loss_G: 0.054208 Loss_D_real: -0.055542 Loss_D_fake -0.005508
[84/5000][360/535][8351] Loss_D: -0.053390 Loss_G: 0.029848 Loss_D_real: -0.029662 Loss_D_fake 0.023728
[84/5000][365/535][8352] Loss_D: -0.049771 Loss_G: 0.005866 Loss_D_real: -0.014619 Loss_D_fake 0.035152
[84/5000][370/535][8353] Loss_D: -0.052559 Loss_G: 0.047536 Loss_D_real: -0.047646 Loss_D_fake 0.004913
[84/5000][375/535][8354] Loss_D: -0.052924 Loss_G: 0.030260 Loss_D_real: -0.036492 Loss_D_fake 0.016432
[84/5000][380/535][8355] Loss_D: -0.050782 Loss_G: 0.052261 Loss_D_real: -0.044618 Loss_D_fake 0.006164
[84/5000][385/535][8356] Loss_D: -0.051594 Loss_G: -0.001730 Loss_D_real: -0.011219 Loss_D_fake 0.040375
[84/5000][390/535][8357] Loss_D: -0.048582 Loss_G: 0.035389 Loss_D_real: -0.042137 Loss_D_fake 0.006444
[84/5000][395/535][8358] Loss_D: -0.049267 Loss_G: 0.010493 Loss_D_real: -0.017092 Loss_D_fake 0.032175
[84/5000][400/535][8359] Loss_D: -0.053572 Loss_G: 0.029017 Loss_D_real: -0.035680 Loss_D_fake 0.017892
[84/5000][405/535][8360] Loss_D: -0.053334 Loss_G: 0.045458 Loss_D_real: -0.039044 Loss_D_fake 0.014290
[84/5000][410/535][8361] Loss_D: -0.053063 Loss_G: 0.001778 Loss_D_real: -0.014612 Loss_D_fake 0.038451
[84/5000][415/535][8362] Loss_D: -0.049325 Loss_G: 0.040312 Loss_D_real: -0.045585 Loss_D_fake 0.003740
[84/5000][420/535][8363] Loss_D: -0.053416 Loss_G: 0.014589 Loss_D_real: -0.028353 Loss_D_fake 0.025063
[84/5000][425/535][8364] Loss_D: -0.053230 Loss_G: 0.047324 Loss_D_real: -0.045488 Loss_D_fake 0.007743
[84/5000][430/535][8365] Loss_D: -0.051913 Loss_G: -0.006580 Loss_D_real: -0.011298 Loss_D_fake 0.040615
[84/5000][435/535][8366] Loss_D: -0.050267 Loss_G: 0.034552 Loss_D_real: -0.040020 Loss_D_fake 0.010247
[84/5000][440/535][8367] Loss_D: -0.051796 Loss_G: 0.013714 Loss_D_real: -0.022730 Loss_D_fake 0.029065
[84/5000][445/535][8368] Loss_D: -0.051656 Loss_G: 0.047950 Loss_D_real: -0.045831 Loss_D_fake 0.005825
[84/5000][450/535][8369] Loss_D: -0.052708 Loss_G: 0.035282 Loss_D_real: -0.031682 Loss_D_fake 0.021026
[84/5000][455/535][8370] Loss_D: -0.052851 Loss_G: 0.026731 Loss_D_real: -0.027665 Loss_D_fake 0.025185
[84/5000][460/535][8371] Loss_D: -0.052142 Loss_G: 0.041245 Loss_D_real: -0.041023 Loss_D_fake 0.011119
[84/5000][465/535][8372] Loss_D: -0.052597 Loss_G: 0.010114 Loss_D_real: -0.015268 Loss_D_fake 0.037329
[84/5000][470/535][8373] Loss_D: -0.053573 Loss_G: 0.038888 Loss_D_real: -0.039820 Loss_D_fake 0.013753
[84/5000][475/535][8374] Loss_D: -0.053058 Loss_G: 0.041958 Loss_D_real: -0.036635 Loss_D_fake 0.016423
[84/5000][480/535][8375] Loss_D: -0.048870 Loss_G: 0.006292 Loss_D_real: -0.013541 Loss_D_fake 0.035329
[84/5000][485/535][8376] Loss_D: -0.051090 Loss_G: 0.039303 Loss_D_real: -0.041177 Loss_D_fake 0.009913
[84/5000][490/535][8377] Loss_D: -0.051915 Loss_G: 0.009143 Loss_D_real: -0.020559 Loss_D_fake 0.031356
[84/5000][495/535][8378] Loss_D: -0.049346 Loss_G: 0.044235 Loss_D_real: -0.046989 Loss_D_fake 0.002357
[84/5000][500/535][8379] Loss_D: -0.052388 Loss_G: 0.008418 Loss_D_real: -0.017771 Loss_D_fake 0.034617
[84/5000][505/535][8380] Loss_D: -0.047550 Loss_G: 0.039664 Loss_D_real: -0.043075 Loss_D_fake 0.004475
[84/5000][510/535][8381] Loss_D: -0.050435 Loss_G: 0.016950 Loss_D_real: -0.026055 Loss_D_fake 0.024380
[84/5000][515/535][8382] Loss_D: -0.051503 Loss_G: 0.029886 Loss_D_real: -0.033178 Loss_D_fake 0.018325
[84/5000][520/535][8383] Loss_D: -0.052932 Loss_G: 0.032197 Loss_D_real: -0.031125 Loss_D_fake 0.021807
[84/5000][525/535][8384] Loss_D: -0.052555 Loss_G: 0.028337 Loss_D_real: -0.027950 Loss_D_fake 0.024605
[84/5000][530/535][8385] Loss_D: -0.052437 Loss_G: 0.028770 Loss_D_real: -0.030011 Loss_D_fake 0.022426
[84/5000][535/535][8386] Loss_D: -0.051949 Loss_G: 0.054067 Loss_D_real: -0.049465 Loss_D_fake 0.002484
[85/5000][5/535][8387] Loss_D: -0.048370 Loss_G: -0.002084 Loss_D_real: -0.009033 Loss_D_fake 0.039336
[85/5000][10/535][8388] Loss_D: -0.049785 Loss_G: 0.052302 Loss_D_real: -0.052928 Loss_D_fake -0.003143
[85/5000][15/535][8389] Loss_D: -0.052806 Loss_G: 0.019871 Loss_D_real: -0.022683 Loss_D_fake 0.030122
[85/5000][20/535][8390] Loss_D: -0.051551 Loss_G: 0.030058 Loss_D_real: -0.038104 Loss_D_fake 0.013447
[85/5000][25/535][8391] Loss_D: -0.053781 Loss_G: 0.026566 Loss_D_real: -0.021884 Loss_D_fake 0.031897
[85/5000][30/535][8392] Loss_D: -0.054394 Loss_G: 0.047757 Loss_D_real: -0.047277 Loss_D_fake 0.007116
[85/5000][35/535][8393] Loss_D: -0.052409 Loss_G: 0.012869 Loss_D_real: -0.020679 Loss_D_fake 0.031730
[85/5000][40/535][8394] Loss_D: -0.051011 Loss_G: 0.051919 Loss_D_real: -0.051280 Loss_D_fake -0.000269
[85/5000][45/535][8395] Loss_D: -0.051711 Loss_G: 0.010897 Loss_D_real: -0.023336 Loss_D_fake 0.028375
[85/5000][50/535][8396] Loss_D: -0.052964 Loss_G: 0.043772 Loss_D_real: -0.046919 Loss_D_fake 0.006045
[85/5000][55/535][8397] Loss_D: -0.055436 Loss_G: 0.040879 Loss_D_real: -0.038390 Loss_D_fake 0.017046
[85/5000][60/535][8398] Loss_D: -0.051864 Loss_G: 0.021612 Loss_D_real: -0.028656 Loss_D_fake 0.023207
[85/5000][65/535][8399] Loss_D: -0.049120 Loss_G: 0.054038 Loss_D_real: -0.056354 Loss_D_fake -0.007234
[85/5000][70/535][8400] Loss_D: -0.050659 Loss_G: -0.001469 Loss_D_real: -0.010911 Loss_D_fake 0.039748
[85/5000][75/535][8401] Loss_D: -0.048590 Loss_G: 0.041851 Loss_D_real: -0.044228 Loss_D_fake 0.004362
[85/5000][80/535][8402] Loss_D: -0.050694 Loss_G: 0.024212 Loss_D_real: -0.029042 Loss_D_fake 0.021652
[85/5000][85/535][8403] Loss_D: -0.052222 Loss_G: 0.043373 Loss_D_real: -0.042851 Loss_D_fake 0.009371
[85/5000][90/535][8404] Loss_D: -0.050226 Loss_G: 0.034647 Loss_D_real: -0.033537 Loss_D_fake 0.016689
[85/5000][95/535][8405] Loss_D: -0.052690 Loss_G: 0.006776 Loss_D_real: -0.024081 Loss_D_fake 0.028609
[85/5000][100/535][8406] Loss_D: -0.048794 Loss_G: 0.049900 Loss_D_real: -0.050384 Loss_D_fake -0.001590
[85/5000][105/535][8407] Loss_D: -0.050199 Loss_G: 0.023332 Loss_D_real: -0.020145 Loss_D_fake 0.030054
[85/5000][110/535][8408] Loss_D: -0.053659 Loss_G: 0.035904 Loss_D_real: -0.038585 Loss_D_fake 0.015075
[85/5000][115/535][8409] Loss_D: -0.052837 Loss_G: -0.005003 Loss_D_real: -0.012981 Loss_D_fake 0.039856
[85/5000][120/535][8410] Loss_D: -0.046840 Loss_G: 0.043728 Loss_D_real: -0.047513 Loss_D_fake -0.000673
[85/5000][125/535][8411] Loss_D: -0.050306 Loss_G: 0.024182 Loss_D_real: -0.028584 Loss_D_fake 0.021722
[85/5000][130/535][8412] Loss_D: -0.053195 Loss_G: 0.024278 Loss_D_real: -0.030504 Loss_D_fake 0.022691
[85/5000][135/535][8413] Loss_D: -0.051058 Loss_G: 0.044653 Loss_D_real: -0.043798 Loss_D_fake 0.007260
[85/5000][140/535][8414] Loss_D: -0.053488 Loss_G: 0.040348 Loss_D_real: -0.033405 Loss_D_fake 0.020083
[85/5000][145/535][8415] Loss_D: -0.048853 Loss_G: 0.045529 Loss_D_real: -0.040464 Loss_D_fake 0.008388
[85/5000][150/535][8416] Loss_D: -0.050316 Loss_G: 0.013752 Loss_D_real: -0.019199 Loss_D_fake 0.031118
[85/5000][155/535][8417] Loss_D: -0.049436 Loss_G: 0.061462 Loss_D_real: -0.056348 Loss_D_fake -0.006912
[85/5000][160/535][8418] Loss_D: -0.051833 Loss_G: 0.016410 Loss_D_real: -0.018501 Loss_D_fake 0.033332
[85/5000][165/535][8419] Loss_D: -0.051290 Loss_G: 0.035138 Loss_D_real: -0.040591 Loss_D_fake 0.010699
[85/5000][170/535][8420] Loss_D: -0.050086 Loss_G: 0.055858 Loss_D_real: -0.055310 Loss_D_fake -0.005224
[85/5000][175/535][8421] Loss_D: -0.050973 Loss_G: 0.013909 Loss_D_real: -0.021738 Loss_D_fake 0.029235
[85/5000][180/535][8422] Loss_D: -0.052680 Loss_G: 0.033768 Loss_D_real: -0.038801 Loss_D_fake 0.013879
[85/5000][185/535][8423] Loss_D: -0.050879 Loss_G: 0.015177 Loss_D_real: -0.020185 Loss_D_fake 0.030693
[85/5000][190/535][8424] Loss_D: -0.052645 Loss_G: 0.039343 Loss_D_real: -0.036777 Loss_D_fake 0.015868
[85/5000][195/535][8425] Loss_D: -0.053444 Loss_G: 0.011045 Loss_D_real: -0.023775 Loss_D_fake 0.029669
[85/5000][200/535][8426] Loss_D: -0.054030 Loss_G: 0.039620 Loss_D_real: -0.044092 Loss_D_fake 0.009937
[85/5000][205/535][8427] Loss_D: -0.053922 Loss_G: 0.033385 Loss_D_real: -0.033032 Loss_D_fake 0.020890
[85/5000][210/535][8428] Loss_D: -0.056186 Loss_G: 0.046277 Loss_D_real: -0.044589 Loss_D_fake 0.011596
[85/5000][215/535][8429] Loss_D: -0.050610 Loss_G: 0.005595 Loss_D_real: -0.019582 Loss_D_fake 0.031027
[85/5000][220/535][8430] Loss_D: -0.052147 Loss_G: 0.044408 Loss_D_real: -0.046982 Loss_D_fake 0.005165
[85/5000][225/535][8431] Loss_D: -0.049540 Loss_G: 0.000592 Loss_D_real: -0.012148 Loss_D_fake 0.037392
[85/5000][230/535][8432] Loss_D: -0.055408 Loss_G: 0.034901 Loss_D_real: -0.036363 Loss_D_fake 0.019045
[85/5000][235/535][8433] Loss_D: -0.054985 Loss_G: 0.021554 Loss_D_real: -0.023890 Loss_D_fake 0.031095
[85/5000][240/535][8434] Loss_D: -0.051974 Loss_G: 0.047927 Loss_D_real: -0.049220 Loss_D_fake 0.002754
[85/5000][245/535][8435] Loss_D: -0.051991 Loss_G: 0.014997 Loss_D_real: -0.018817 Loss_D_fake 0.033174
[85/5000][250/535][8436] Loss_D: -0.052297 Loss_G: 0.026665 Loss_D_real: -0.031148 Loss_D_fake 0.021149
[85/5000][255/535][8437] Loss_D: -0.052321 Loss_G: 0.011748 Loss_D_real: -0.020525 Loss_D_fake 0.031795
[85/5000][260/535][8438] Loss_D: -0.051812 Loss_G: 0.039482 Loss_D_real: -0.044849 Loss_D_fake 0.006964
[85/5000][265/535][8439] Loss_D: -0.051514 Loss_G: 0.005154 Loss_D_real: -0.019171 Loss_D_fake 0.032343
[85/5000][270/535][8440] Loss_D: -0.052703 Loss_G: 0.040265 Loss_D_real: -0.040316 Loss_D_fake 0.012388
[85/5000][275/535][8441] Loss_D: -0.053104 Loss_G: 0.042000 Loss_D_real: -0.035722 Loss_D_fake 0.017382
[85/5000][280/535][8442] Loss_D: -0.051635 Loss_G: 0.022027 Loss_D_real: -0.030656 Loss_D_fake 0.020979
[85/5000][285/535][8443] Loss_D: -0.050735 Loss_G: 0.058050 Loss_D_real: -0.058410 Loss_D_fake -0.007675
[85/5000][290/535][8444] Loss_D: -0.051259 Loss_G: 0.005615 Loss_D_real: -0.015015 Loss_D_fake 0.036244
[85/5000][295/535][8445] Loss_D: -0.048348 Loss_G: 0.047374 Loss_D_real: -0.052103 Loss_D_fake -0.003755
[85/5000][300/535][8446] Loss_D: -0.049797 Loss_G: 0.022069 Loss_D_real: -0.029118 Loss_D_fake 0.020679
[85/5000][305/535][8447] Loss_D: -0.053051 Loss_G: 0.022455 Loss_D_real: -0.030151 Loss_D_fake 0.022899
[85/5000][310/535][8448] Loss_D: -0.054531 Loss_G: 0.023230 Loss_D_real: -0.027001 Loss_D_fake 0.027530
[85/5000][315/535][8449] Loss_D: -0.053213 Loss_G: 0.041918 Loss_D_real: -0.038054 Loss_D_fake 0.015159
[85/5000][320/535][8450] Loss_D: -0.053179 Loss_G: 0.014990 Loss_D_real: -0.022454 Loss_D_fake 0.030725
[85/5000][325/535][8451] Loss_D: -0.052839 Loss_G: 0.016287 Loss_D_real: -0.022210 Loss_D_fake 0.030629
[85/5000][330/535][8452] Loss_D: -0.050280 Loss_G: 0.059264 Loss_D_real: -0.050936 Loss_D_fake -0.000656
[85/5000][335/535][8453] Loss_D: -0.048629 Loss_G: 0.004991 Loss_D_real: -0.010661 Loss_D_fake 0.037968
[85/5000][340/535][8454] Loss_D: -0.047239 Loss_G: 0.053621 Loss_D_real: -0.052072 Loss_D_fake -0.004834
[85/5000][345/535][8455] Loss_D: -0.053063 Loss_G: 0.010659 Loss_D_real: -0.016162 Loss_D_fake 0.036902
[85/5000][350/535][8456] Loss_D: -0.051716 Loss_G: 0.041653 Loss_D_real: -0.042691 Loss_D_fake 0.009025
[85/5000][355/535][8457] Loss_D: -0.053337 Loss_G: 0.017682 Loss_D_real: -0.024894 Loss_D_fake 0.028443
[85/5000][360/535][8458] Loss_D: -0.050347 Loss_G: 0.036912 Loss_D_real: -0.039482 Loss_D_fake 0.010865
[85/5000][365/535][8459] Loss_D: -0.053897 Loss_G: 0.037433 Loss_D_real: -0.035459 Loss_D_fake 0.018438
[85/5000][370/535][8460] Loss_D: -0.052248 Loss_G: 0.027090 Loss_D_real: -0.026127 Loss_D_fake 0.026122
[85/5000][375/535][8461] Loss_D: -0.051059 Loss_G: 0.057770 Loss_D_real: -0.050304 Loss_D_fake 0.000755
[85/5000][380/535][8462] Loss_D: -0.049101 Loss_G: -0.003591 Loss_D_real: -0.008819 Loss_D_fake 0.040282
[85/5000][385/535][8463] Loss_D: -0.049680 Loss_G: 0.032152 Loss_D_real: -0.035373 Loss_D_fake 0.014308
[85/5000][390/535][8464] Loss_D: -0.054260 Loss_G: 0.026200 Loss_D_real: -0.028192 Loss_D_fake 0.026067
[85/5000][395/535][8465] Loss_D: -0.049214 Loss_G: 0.054643 Loss_D_real: -0.053874 Loss_D_fake -0.004660
[85/5000][400/535][8466] Loss_D: -0.052397 Loss_G: 0.022353 Loss_D_real: -0.028054 Loss_D_fake 0.024344
[85/5000][405/535][8467] Loss_D: -0.050938 Loss_G: 0.047857 Loss_D_real: -0.046890 Loss_D_fake 0.004048
[85/5000][410/535][8468] Loss_D: -0.052079 Loss_G: 0.029772 Loss_D_real: -0.031947 Loss_D_fake 0.020132
[85/5000][415/535][8469] Loss_D: -0.051050 Loss_G: 0.028227 Loss_D_real: -0.029840 Loss_D_fake 0.021211
[85/5000][420/535][8470] Loss_D: -0.052758 Loss_G: 0.027644 Loss_D_real: -0.030570 Loss_D_fake 0.022187
[85/5000][425/535][8471] Loss_D: -0.051019 Loss_G: 0.038545 Loss_D_real: -0.035599 Loss_D_fake 0.015420
[85/5000][430/535][8472] Loss_D: -0.052322 Loss_G: 0.024510 Loss_D_real: -0.028187 Loss_D_fake 0.024135
[85/5000][435/535][8473] Loss_D: -0.050583 Loss_G: 0.028982 Loss_D_real: -0.032450 Loss_D_fake 0.018133
[85/5000][440/535][8474] Loss_D: -0.052287 Loss_G: 0.042079 Loss_D_real: -0.039947 Loss_D_fake 0.012340
[85/5000][445/535][8475] Loss_D: -0.052046 Loss_G: 0.020888 Loss_D_real: -0.028755 Loss_D_fake 0.023291
[85/5000][450/535][8476] Loss_D: -0.049859 Loss_G: 0.047409 Loss_D_real: -0.042463 Loss_D_fake 0.007396
[85/5000][455/535][8477] Loss_D: -0.049708 Loss_G: -0.005438 Loss_D_real: -0.009575 Loss_D_fake 0.040133
[85/5000][460/535][8478] Loss_D: -0.049330 Loss_G: 0.036717 Loss_D_real: -0.039765 Loss_D_fake 0.009565
[85/5000][465/535][8479] Loss_D: -0.051502 Loss_G: 0.011876 Loss_D_real: -0.022818 Loss_D_fake 0.028684
[85/5000][470/535][8480] Loss_D: -0.046239 Loss_G: 0.056524 Loss_D_real: -0.054262 Loss_D_fake -0.008023
[85/5000][475/535][8481] Loss_D: -0.050060 Loss_G: 0.009140 Loss_D_real: -0.012302 Loss_D_fake 0.037758
[85/5000][480/535][8482] Loss_D: -0.051576 Loss_G: 0.038429 Loss_D_real: -0.044342 Loss_D_fake 0.007234
[85/5000][485/535][8483] Loss_D: -0.053445 Loss_G: 0.026303 Loss_D_real: -0.031643 Loss_D_fake 0.021802
[85/5000][490/535][8484] Loss_D: -0.052970 Loss_G: 0.007125 Loss_D_real: -0.022068 Loss_D_fake 0.030903
[85/5000][495/535][8485] Loss_D: -0.051812 Loss_G: 0.051620 Loss_D_real: -0.046487 Loss_D_fake 0.005326
[85/5000][500/535][8486] Loss_D: -0.050515 Loss_G: 0.017387 Loss_D_real: -0.020017 Loss_D_fake 0.030498
[85/5000][505/535][8487] Loss_D: -0.050215 Loss_G: 0.048395 Loss_D_real: -0.045540 Loss_D_fake 0.004675
[85/5000][510/535][8488] Loss_D: -0.049650 Loss_G: 0.011083 Loss_D_real: -0.020632 Loss_D_fake 0.029018
[85/5000][515/535][8489] Loss_D: -0.049789 Loss_G: 0.038608 Loss_D_real: -0.038725 Loss_D_fake 0.011064
[85/5000][520/535][8490] Loss_D: -0.051704 Loss_G: 0.017007 Loss_D_real: -0.017408 Loss_D_fake 0.034297
[85/5000][525/535][8491] Loss_D: -0.049662 Loss_G: 0.043525 Loss_D_real: -0.043938 Loss_D_fake 0.005724
[85/5000][530/535][8492] Loss_D: -0.051176 Loss_G: 0.015278 Loss_D_real: -0.015379 Loss_D_fake 0.035797
[85/5000][535/535][8493] Loss_D: -0.051100 Loss_G: 0.036806 Loss_D_real: -0.052621 Loss_D_fake -0.001521
[86/5000][5/535][8494] Loss_D: -0.049709 Loss_G: 0.009096 Loss_D_real: -0.020428 Loss_D_fake 0.029281
[86/5000][10/535][8495] Loss_D: -0.049098 Loss_G: 0.050154 Loss_D_real: -0.048662 Loss_D_fake 0.000436
[86/5000][15/535][8496] Loss_D: -0.053308 Loss_G: 0.018557 Loss_D_real: -0.024771 Loss_D_fake 0.028538
[86/5000][20/535][8497] Loss_D: -0.052744 Loss_G: 0.013729 Loss_D_real: -0.023585 Loss_D_fake 0.029159
[86/5000][25/535][8498] Loss_D: -0.052924 Loss_G: 0.037252 Loss_D_real: -0.042075 Loss_D_fake 0.010849
[86/5000][30/535][8499] Loss_D: -0.053542 Loss_G: 0.038051 Loss_D_real: -0.040890 Loss_D_fake 0.012652
[86/5000][35/535][8500] Loss_D: -0.053512 Loss_G: 0.020510 Loss_D_real: -0.028347 Loss_D_fake 0.025166
[86/5000][135/535][8501] Loss_D: -0.055548 Loss_G: 0.006418 Loss_D_real: -0.007710 Loss_D_fake 0.047839
[86/5000][140/535][8502] Loss_D: -0.052723 Loss_G: 0.036796 Loss_D_real: -0.038169 Loss_D_fake 0.014554
[86/5000][145/535][8503] Loss_D: -0.047299 Loss_G: 0.024886 Loss_D_real: -0.032696 Loss_D_fake 0.014604
[86/5000][150/535][8504] Loss_D: -0.046154 Loss_G: 0.022632 Loss_D_real: -0.033009 Loss_D_fake 0.013144
[86/5000][155/535][8505] Loss_D: -0.048263 Loss_G: 0.026634 Loss_D_real: -0.031206 Loss_D_fake 0.017057
[86/5000][160/535][8506] Loss_D: -0.050112 Loss_G: 0.032521 Loss_D_real: -0.034077 Loss_D_fake 0.016035
[86/5000][165/535][8507] Loss_D: -0.051113 Loss_G: 0.027194 Loss_D_real: -0.032856 Loss_D_fake 0.018258
[86/5000][170/535][8508] Loss_D: -0.050840 Loss_G: 0.034793 Loss_D_real: -0.036379 Loss_D_fake 0.014461
[86/5000][175/535][8509] Loss_D: -0.051076 Loss_G: 0.020251 Loss_D_real: -0.029057 Loss_D_fake 0.022019
[86/5000][180/535][8510] Loss_D: -0.050450 Loss_G: 0.054670 Loss_D_real: -0.050308 Loss_D_fake 0.000142
[86/5000][185/535][8511] Loss_D: -0.049692 Loss_G: 0.010032 Loss_D_real: -0.018520 Loss_D_fake 0.031173
[86/5000][190/535][8512] Loss_D: -0.050453 Loss_G: 0.047564 Loss_D_real: -0.044877 Loss_D_fake 0.005575
[86/5000][195/535][8513] Loss_D: -0.052093 Loss_G: 0.007695 Loss_D_real: -0.021641 Loss_D_fake 0.030452
[86/5000][200/535][8514] Loss_D: -0.050776 Loss_G: 0.038957 Loss_D_real: -0.041127 Loss_D_fake 0.009649
[86/5000][205/535][8515] Loss_D: -0.052053 Loss_G: 0.012264 Loss_D_real: -0.023018 Loss_D_fake 0.029035
[86/5000][210/535][8516] Loss_D: -0.052619 Loss_G: 0.036891 Loss_D_real: -0.039093 Loss_D_fake 0.013526
[86/5000][215/535][8517] Loss_D: -0.053898 Loss_G: 0.021832 Loss_D_real: -0.033746 Loss_D_fake 0.020152
[86/5000][220/535][8518] Loss_D: -0.053834 Loss_G: 0.032979 Loss_D_real: -0.033051 Loss_D_fake 0.020783
[86/5000][225/535][8519] Loss_D: -0.054353 Loss_G: 0.010760 Loss_D_real: -0.024895 Loss_D_fake 0.029458
[86/5000][230/535][8520] Loss_D: -0.049337 Loss_G: 0.052546 Loss_D_real: -0.053626 Loss_D_fake -0.004289
[86/5000][235/535][8521] Loss_D: -0.051383 Loss_G: 0.031907 Loss_D_real: -0.033032 Loss_D_fake 0.018351
[86/5000][240/535][8522] Loss_D: -0.051370 Loss_G: 0.032307 Loss_D_real: -0.032828 Loss_D_fake 0.018542
[86/5000][245/535][8523] Loss_D: -0.050720 Loss_G: 0.021145 Loss_D_real: -0.024115 Loss_D_fake 0.026605
[86/5000][250/535][8524] Loss_D: -0.052150 Loss_G: 0.045122 Loss_D_real: -0.043922 Loss_D_fake 0.008229
[86/5000][255/535][8525] Loss_D: -0.051115 Loss_G: 0.014719 Loss_D_real: -0.019933 Loss_D_fake 0.031182
[86/5000][260/535][8526] Loss_D: -0.050614 Loss_G: 0.039572 Loss_D_real: -0.043148 Loss_D_fake 0.007466
[86/5000][265/535][8527] Loss_D: -0.050673 Loss_G: 0.009451 Loss_D_real: -0.016381 Loss_D_fake 0.034293
[86/5000][270/535][8528] Loss_D: -0.049988 Loss_G: 0.037485 Loss_D_real: -0.039177 Loss_D_fake 0.010811
[86/5000][275/535][8529] Loss_D: -0.051245 Loss_G: 0.023355 Loss_D_real: -0.026909 Loss_D_fake 0.024336
[86/5000][280/535][8530] Loss_D: -0.053306 Loss_G: 0.033086 Loss_D_real: -0.036680 Loss_D_fake 0.016626
[86/5000][285/535][8531] Loss_D: -0.052049 Loss_G: 0.045743 Loss_D_real: -0.041315 Loss_D_fake 0.010735
[86/5000][290/535][8532] Loss_D: -0.050117 Loss_G: -0.000268 Loss_D_real: -0.013638 Loss_D_fake 0.036479
[86/5000][295/535][8533] Loss_D: -0.050766 Loss_G: 0.038050 Loss_D_real: -0.042567 Loss_D_fake 0.008199
[86/5000][300/535][8534] Loss_D: -0.052736 Loss_G: 0.020104 Loss_D_real: -0.027291 Loss_D_fake 0.025445
[86/5000][305/535][8535] Loss_D: -0.053487 Loss_G: 0.019067 Loss_D_real: -0.029481 Loss_D_fake 0.024006
[86/5000][310/535][8536] Loss_D: -0.057178 Loss_G: 0.025872 Loss_D_real: -0.033573 Loss_D_fake 0.023605
[86/5000][315/535][8537] Loss_D: -0.053595 Loss_G: 0.044887 Loss_D_real: -0.045111 Loss_D_fake 0.008484
[86/5000][320/535][8538] Loss_D: -0.049146 Loss_G: -0.003641 Loss_D_real: -0.007743 Loss_D_fake 0.041404
[86/5000][325/535][8539] Loss_D: -0.050799 Loss_G: 0.028891 Loss_D_real: -0.038053 Loss_D_fake 0.012745
[86/5000][330/535][8540] Loss_D: -0.051911 Loss_G: 0.008009 Loss_D_real: -0.023337 Loss_D_fake 0.028574
[86/5000][335/535][8541] Loss_D: -0.051363 Loss_G: 0.032578 Loss_D_real: -0.036172 Loss_D_fake 0.015192
[86/5000][340/535][8542] Loss_D: -0.050602 Loss_G: 0.009947 Loss_D_real: -0.020036 Loss_D_fake 0.030566
[86/5000][345/535][8543] Loss_D: -0.050515 Loss_G: 0.034286 Loss_D_real: -0.038805 Loss_D_fake 0.011709
[86/5000][350/535][8544] Loss_D: -0.052227 Loss_G: 0.011508 Loss_D_real: -0.018838 Loss_D_fake 0.033389
[86/5000][355/535][8545] Loss_D: -0.047006 Loss_G: 0.037876 Loss_D_real: -0.036151 Loss_D_fake 0.010854
[86/5000][360/535][8546] Loss_D: -0.049263 Loss_G: 0.014380 Loss_D_real: -0.020457 Loss_D_fake 0.028806
[86/5000][365/535][8547] Loss_D: -0.050673 Loss_G: 0.021541 Loss_D_real: -0.031984 Loss_D_fake 0.018690
[86/5000][370/535][8548] Loss_D: -0.050973 Loss_G: 0.022173 Loss_D_real: -0.027619 Loss_D_fake 0.023355
[86/5000][375/535][8549] Loss_D: -0.051177 Loss_G: 0.032169 Loss_D_real: -0.036451 Loss_D_fake 0.014726
[86/5000][380/535][8550] Loss_D: -0.048591 Loss_G: 0.002025 Loss_D_real: -0.011902 Loss_D_fake 0.036689
[86/5000][385/535][8551] Loss_D: -0.048913 Loss_G: 0.054554 Loss_D_real: -0.051805 Loss_D_fake -0.002892
[86/5000][390/535][8552] Loss_D: -0.049582 Loss_G: 0.003696 Loss_D_real: -0.015314 Loss_D_fake 0.034268
[86/5000][395/535][8553] Loss_D: -0.045696 Loss_G: 0.039817 Loss_D_real: -0.052257 Loss_D_fake -0.006561
[86/5000][400/535][8554] Loss_D: -0.049162 Loss_G: 0.025490 Loss_D_real: -0.024479 Loss_D_fake 0.024683
[86/5000][405/535][8555] Loss_D: -0.048417 Loss_G: 0.032744 Loss_D_real: -0.034024 Loss_D_fake 0.014393
[86/5000][410/535][8556] Loss_D: -0.050905 Loss_G: 0.020812 Loss_D_real: -0.024013 Loss_D_fake 0.026893
[86/5000][415/535][8557] Loss_D: -0.047127 Loss_G: 0.057364 Loss_D_real: -0.057433 Loss_D_fake -0.010306
[86/5000][420/535][8558] Loss_D: -0.053705 Loss_G: 0.018096 Loss_D_real: -0.024565 Loss_D_fake 0.029140
[86/5000][425/535][8559] Loss_D: -0.049964 Loss_G: 0.050873 Loss_D_real: -0.050939 Loss_D_fake -0.000975
[86/5000][430/535][8560] Loss_D: -0.052830 Loss_G: 0.022485 Loss_D_real: -0.024637 Loss_D_fake 0.028194
[86/5000][435/535][8561] Loss_D: -0.053851 Loss_G: 0.007766 Loss_D_real: -0.016588 Loss_D_fake 0.037263
[86/5000][440/535][8562] Loss_D: -0.052730 Loss_G: 0.046170 Loss_D_real: -0.043554 Loss_D_fake 0.009175
[86/5000][445/535][8563] Loss_D: -0.049778 Loss_G: 0.002098 Loss_D_real: -0.012447 Loss_D_fake 0.037331
[86/5000][450/535][8564] Loss_D: -0.053615 Loss_G: 0.028835 Loss_D_real: -0.033103 Loss_D_fake 0.020512
[86/5000][455/535][8565] Loss_D: -0.051177 Loss_G: 0.042212 Loss_D_real: -0.039467 Loss_D_fake 0.011710
[86/5000][460/535][8566] Loss_D: -0.054245 Loss_G: 0.016152 Loss_D_real: -0.021768 Loss_D_fake 0.032476
[86/5000][465/535][8567] Loss_D: -0.048205 Loss_G: 0.053980 Loss_D_real: -0.050062 Loss_D_fake -0.001857
[86/5000][470/535][8568] Loss_D: -0.052254 Loss_G: 0.018691 Loss_D_real: -0.020972 Loss_D_fake 0.031282
[86/5000][475/535][8569] Loss_D: -0.050847 Loss_G: 0.049156 Loss_D_real: -0.049004 Loss_D_fake 0.001843
[86/5000][480/535][8570] Loss_D: -0.052107 Loss_G: 0.011270 Loss_D_real: -0.022516 Loss_D_fake 0.029591
[86/5000][485/535][8571] Loss_D: -0.051757 Loss_G: 0.055921 Loss_D_real: -0.050185 Loss_D_fake 0.001572
[86/5000][490/535][8572] Loss_D: -0.052595 Loss_G: 0.017278 Loss_D_real: -0.022996 Loss_D_fake 0.029599
[86/5000][495/535][8573] Loss_D: -0.053435 Loss_G: 0.035077 Loss_D_real: -0.038601 Loss_D_fake 0.014834
[86/5000][500/535][8574] Loss_D: -0.053906 Loss_G: 0.046386 Loss_D_real: -0.038859 Loss_D_fake 0.015046
[86/5000][505/535][8575] Loss_D: -0.052979 Loss_G: 0.002338 Loss_D_real: -0.018775 Loss_D_fake 0.034204
[86/5000][510/535][8576] Loss_D: -0.049720 Loss_G: 0.051752 Loss_D_real: -0.049024 Loss_D_fake 0.000697
[86/5000][515/535][8577] Loss_D: -0.051397 Loss_G: 0.021853 Loss_D_real: -0.024430 Loss_D_fake 0.026967
[86/5000][520/535][8578] Loss_D: -0.050864 Loss_G: 0.046669 Loss_D_real: -0.048385 Loss_D_fake 0.002479
[86/5000][525/535][8579] Loss_D: -0.051306 Loss_G: 0.005980 Loss_D_real: -0.012945 Loss_D_fake 0.038361
[86/5000][530/535][8580] Loss_D: -0.050170 Loss_G: 0.042772 Loss_D_real: -0.043396 Loss_D_fake 0.006774
[86/5000][535/535][8581] Loss_D: -0.053511 Loss_G: 0.021533 Loss_D_real: -0.018285 Loss_D_fake 0.035227
[87/5000][5/535][8582] Loss_D: -0.050048 Loss_G: 0.026062 Loss_D_real: -0.030698 Loss_D_fake 0.019350
[87/5000][10/535][8583] Loss_D: -0.049343 Loss_G: 0.026252 Loss_D_real: -0.033242 Loss_D_fake 0.016101
[87/5000][15/535][8584] Loss_D: -0.052375 Loss_G: 0.028290 Loss_D_real: -0.029096 Loss_D_fake 0.023279
[87/5000][20/535][8585] Loss_D: -0.051944 Loss_G: 0.037218 Loss_D_real: -0.039056 Loss_D_fake 0.012888
[87/5000][25/535][8586] Loss_D: -0.052485 Loss_G: 0.047325 Loss_D_real: -0.039444 Loss_D_fake 0.013041
[87/5000][30/535][8587] Loss_D: -0.053080 Loss_G: 0.024380 Loss_D_real: -0.029309 Loss_D_fake 0.023771
[87/5000][35/535][8588] Loss_D: -0.052253 Loss_G: 0.011913 Loss_D_real: -0.024389 Loss_D_fake 0.027864
[87/5000][40/535][8589] Loss_D: -0.047923 Loss_G: 0.059665 Loss_D_real: -0.053034 Loss_D_fake -0.005111
[87/5000][45/535][8590] Loss_D: -0.051075 Loss_G: 0.009775 Loss_D_real: -0.019758 Loss_D_fake 0.031317
[87/5000][50/535][8591] Loss_D: -0.050925 Loss_G: 0.037824 Loss_D_real: -0.038715 Loss_D_fake 0.012209
[87/5000][55/535][8592] Loss_D: -0.048307 Loss_G: -0.004908 Loss_D_real: -0.008463 Loss_D_fake 0.039844
[87/5000][60/535][8593] Loss_D: -0.049752 Loss_G: 0.042576 Loss_D_real: -0.044852 Loss_D_fake 0.004900
[87/5000][65/535][8594] Loss_D: -0.052413 Loss_G: 0.045868 Loss_D_real: -0.042867 Loss_D_fake 0.009546
[87/5000][70/535][8595] Loss_D: -0.051351 Loss_G: -0.007332 Loss_D_real: -0.006151 Loss_D_fake 0.045200
[87/5000][75/535][8596] Loss_D: -0.051228 Loss_G: 0.042779 Loss_D_real: -0.043157 Loss_D_fake 0.008071
[87/5000][80/535][8597] Loss_D: -0.054815 Loss_G: 0.031400 Loss_D_real: -0.036297 Loss_D_fake 0.018518
[87/5000][85/535][8598] Loss_D: -0.054058 Loss_G: 0.020952 Loss_D_real: -0.025157 Loss_D_fake 0.028901
[87/5000][90/535][8599] Loss_D: -0.053517 Loss_G: 0.032777 Loss_D_real: -0.035545 Loss_D_fake 0.017971
[87/5000][95/535][8600] Loss_D: -0.049687 Loss_G: 0.041879 Loss_D_real: -0.045433 Loss_D_fake 0.004255
[87/5000][100/535][8601] Loss_D: -0.054124 Loss_G: 0.010473 Loss_D_real: -0.021795 Loss_D_fake 0.032329
[87/5000][105/535][8602] Loss_D: -0.051500 Loss_G: 0.047393 Loss_D_real: -0.045968 Loss_D_fake 0.005532
[87/5000][110/535][8603] Loss_D: -0.050994 Loss_G: 0.015240 Loss_D_real: -0.022234 Loss_D_fake 0.028760
[87/5000][115/535][8604] Loss_D: -0.050272 Loss_G: 0.045309 Loss_D_real: -0.046711 Loss_D_fake 0.003561
[87/5000][120/535][8605] Loss_D: -0.049825 Loss_G: 0.019443 Loss_D_real: -0.020563 Loss_D_fake 0.029263
[87/5000][125/535][8606] Loss_D: -0.050329 Loss_G: 0.033086 Loss_D_real: -0.032853 Loss_D_fake 0.017476
[87/5000][130/535][8607] Loss_D: -0.050084 Loss_G: 0.016384 Loss_D_real: -0.023119 Loss_D_fake 0.026965
[87/5000][135/535][8608] Loss_D: -0.053428 Loss_G: 0.032360 Loss_D_real: -0.038043 Loss_D_fake 0.015385
[87/5000][140/535][8609] Loss_D: -0.052124 Loss_G: 0.009193 Loss_D_real: -0.018508 Loss_D_fake 0.033616
[87/5000][145/535][8610] Loss_D: -0.048288 Loss_G: 0.058404 Loss_D_real: -0.054775 Loss_D_fake -0.006488
[87/5000][150/535][8611] Loss_D: -0.048946 Loss_G: -0.003077 Loss_D_real: -0.003827 Loss_D_fake 0.045119
[87/5000][155/535][8612] Loss_D: -0.047768 Loss_G: 0.044182 Loss_D_real: -0.047768 Loss_D_fake 0.000000
[87/5000][160/535][8613] Loss_D: -0.048175 Loss_G: 0.010555 Loss_D_real: -0.021118 Loss_D_fake 0.027056
[87/5000][165/535][8614] Loss_D: -0.048396 Loss_G: 0.037742 Loss_D_real: -0.038424 Loss_D_fake 0.009972
[87/5000][170/535][8615] Loss_D: -0.051549 Loss_G: 0.003247 Loss_D_real: -0.014227 Loss_D_fake 0.037322
[87/5000][175/535][8616] Loss_D: -0.049239 Loss_G: 0.036014 Loss_D_real: -0.036855 Loss_D_fake 0.012384
[87/5000][180/535][8617] Loss_D: -0.051099 Loss_G: 0.022006 Loss_D_real: -0.026469 Loss_D_fake 0.024630
[87/5000][185/535][8618] Loss_D: -0.052253 Loss_G: 0.022446 Loss_D_real: -0.027122 Loss_D_fake 0.025131
[87/5000][190/535][8619] Loss_D: -0.049744 Loss_G: 0.056248 Loss_D_real: -0.051013 Loss_D_fake -0.001269
[87/5000][195/535][8620] Loss_D: -0.050087 Loss_G: -0.003074 Loss_D_real: -0.009040 Loss_D_fake 0.041047
[87/5000][200/535][8621] Loss_D: -0.048817 Loss_G: 0.045304 Loss_D_real: -0.048504 Loss_D_fake 0.000312
[87/5000][205/535][8622] Loss_D: -0.051050 Loss_G: 0.033242 Loss_D_real: -0.031871 Loss_D_fake 0.019178
[87/5000][210/535][8623] Loss_D: -0.052976 Loss_G: 0.042330 Loss_D_real: -0.039056 Loss_D_fake 0.013920
[87/5000][215/535][8624] Loss_D: -0.049806 Loss_G: 0.001006 Loss_D_real: -0.015105 Loss_D_fake 0.034701
[87/5000][220/535][8625] Loss_D: -0.049102 Loss_G: 0.045805 Loss_D_real: -0.047604 Loss_D_fake 0.001498
[87/5000][225/535][8626] Loss_D: -0.052480 Loss_G: 0.023303 Loss_D_real: -0.024462 Loss_D_fake 0.028018
[87/5000][230/535][8627] Loss_D: -0.054302 Loss_G: 0.018732 Loss_D_real: -0.023704 Loss_D_fake 0.030598
[87/5000][235/535][8628] Loss_D: -0.051724 Loss_G: 0.028299 Loss_D_real: -0.038595 Loss_D_fake 0.013129
[87/5000][240/535][8629] Loss_D: -0.052157 Loss_G: 0.044979 Loss_D_real: -0.039494 Loss_D_fake 0.012663
[87/5000][245/535][8630] Loss_D: -0.052870 Loss_G: 0.000475 Loss_D_real: -0.015839 Loss_D_fake 0.037031
[87/5000][250/535][8631] Loss_D: -0.048160 Loss_G: 0.032605 Loss_D_real: -0.036328 Loss_D_fake 0.011831
[87/5000][255/535][8632] Loss_D: -0.048948 Loss_G: 0.020383 Loss_D_real: -0.021282 Loss_D_fake 0.027666
[87/5000][260/535][8633] Loss_D: -0.052492 Loss_G: 0.029156 Loss_D_real: -0.036141 Loss_D_fake 0.016351
[87/5000][265/535][8634] Loss_D: -0.052779 Loss_G: 0.030149 Loss_D_real: -0.027286 Loss_D_fake 0.025493
[87/5000][270/535][8635] Loss_D: -0.052491 Loss_G: 0.009199 Loss_D_real: -0.021235 Loss_D_fake 0.031256
[87/5000][275/535][8636] Loss_D: -0.049944 Loss_G: 0.056623 Loss_D_real: -0.048918 Loss_D_fake 0.001026
[87/5000][280/535][8637] Loss_D: -0.050457 Loss_G: 0.012282 Loss_D_real: -0.020917 Loss_D_fake 0.029540
[87/5000][285/535][8638] Loss_D: -0.051557 Loss_G: 0.041415 Loss_D_real: -0.041566 Loss_D_fake 0.009992
[87/5000][290/535][8639] Loss_D: -0.051208 Loss_G: 0.015211 Loss_D_real: -0.022794 Loss_D_fake 0.028415
[87/5000][295/535][8640] Loss_D: -0.053215 Loss_G: 0.034614 Loss_D_real: -0.039457 Loss_D_fake 0.013758
[87/5000][300/535][8641] Loss_D: -0.052953 Loss_G: 0.034144 Loss_D_real: -0.036352 Loss_D_fake 0.016601
[87/5000][305/535][8642] Loss_D: -0.052738 Loss_G: 0.044342 Loss_D_real: -0.039763 Loss_D_fake 0.012975
[87/5000][310/535][8643] Loss_D: -0.052996 Loss_G: 0.033685 Loss_D_real: -0.033411 Loss_D_fake 0.019585
[87/5000][315/535][8644] Loss_D: -0.051968 Loss_G: -0.002289 Loss_D_real: -0.010866 Loss_D_fake 0.041102
[87/5000][320/535][8645] Loss_D: -0.047149 Loss_G: 0.054122 Loss_D_real: -0.051666 Loss_D_fake -0.004517
[87/5000][325/535][8646] Loss_D: -0.048604 Loss_G: 0.026044 Loss_D_real: -0.026626 Loss_D_fake 0.021978
[87/5000][330/535][8647] Loss_D: -0.053959 Loss_G: 0.029799 Loss_D_real: -0.038082 Loss_D_fake 0.015877
[87/5000][335/535][8648] Loss_D: -0.052548 Loss_G: 0.035889 Loss_D_real: -0.034725 Loss_D_fake 0.017823
[87/5000][340/535][8649] Loss_D: -0.049739 Loss_G: 0.003883 Loss_D_real: -0.013886 Loss_D_fake 0.035853
[87/5000][345/535][8650] Loss_D: -0.053280 Loss_G: 0.041695 Loss_D_real: -0.045425 Loss_D_fake 0.007855
[87/5000][350/535][8651] Loss_D: -0.051800 Loss_G: 0.011494 Loss_D_real: -0.021019 Loss_D_fake 0.030780
[87/5000][355/535][8652] Loss_D: -0.052580 Loss_G: 0.040967 Loss_D_real: -0.040619 Loss_D_fake 0.011961
[87/5000][360/535][8653] Loss_D: -0.053948 Loss_G: 0.020056 Loss_D_real: -0.025314 Loss_D_fake 0.028634
[87/5000][365/535][8654] Loss_D: -0.052616 Loss_G: 0.040463 Loss_D_real: -0.041908 Loss_D_fake 0.010708
[87/5000][370/535][8655] Loss_D: -0.050370 Loss_G: 0.027860 Loss_D_real: -0.030888 Loss_D_fake 0.019482
[87/5000][375/535][8656] Loss_D: -0.052864 Loss_G: 0.007610 Loss_D_real: -0.018807 Loss_D_fake 0.034057
[87/5000][380/535][8657] Loss_D: -0.048352 Loss_G: 0.051607 Loss_D_real: -0.052819 Loss_D_fake -0.004467
[87/5000][385/535][8658] Loss_D: -0.052282 Loss_G: 0.013254 Loss_D_real: -0.023753 Loss_D_fake 0.028529
[87/5000][390/535][8659] Loss_D: -0.051576 Loss_G: 0.031297 Loss_D_real: -0.033615 Loss_D_fake 0.017961
[87/5000][395/535][8660] Loss_D: -0.051674 Loss_G: 0.008197 Loss_D_real: -0.020185 Loss_D_fake 0.031489
[87/5000][400/535][8661] Loss_D: -0.051534 Loss_G: 0.045084 Loss_D_real: -0.047126 Loss_D_fake 0.004408
[87/5000][405/535][8662] Loss_D: -0.051785 Loss_G: 0.026577 Loss_D_real: -0.030114 Loss_D_fake 0.021671
[87/5000][410/535][8663] Loss_D: -0.051219 Loss_G: 0.023366 Loss_D_real: -0.033127 Loss_D_fake 0.018092
[87/5000][415/535][8664] Loss_D: -0.049672 Loss_G: 0.021284 Loss_D_real: -0.027380 Loss_D_fake 0.022292
[87/5000][420/535][8665] Loss_D: -0.052116 Loss_G: 0.049354 Loss_D_real: -0.046891 Loss_D_fake 0.005226
[87/5000][425/535][8666] Loss_D: -0.051419 Loss_G: -0.008835 Loss_D_real: -0.007837 Loss_D_fake 0.043582
[87/5000][430/535][8667] Loss_D: -0.048411 Loss_G: 0.041980 Loss_D_real: -0.042949 Loss_D_fake 0.005462
[87/5000][435/535][8668] Loss_D: -0.051096 Loss_G: 0.025164 Loss_D_real: -0.029951 Loss_D_fake 0.021145
[87/5000][440/535][8669] Loss_D: -0.054067 Loss_G: 0.024195 Loss_D_real: -0.030109 Loss_D_fake 0.023958
[87/5000][445/535][8670] Loss_D: -0.046379 Loss_G: 0.056695 Loss_D_real: -0.057704 Loss_D_fake -0.011325
[87/5000][450/535][8671] Loss_D: -0.048846 Loss_G: -0.007677 Loss_D_real: -0.003808 Loss_D_fake 0.045037
[87/5000][455/535][8672] Loss_D: -0.047812 Loss_G: 0.038254 Loss_D_real: -0.037958 Loss_D_fake 0.009854
[87/5000][460/535][8673] Loss_D: -0.050032 Loss_G: 0.005380 Loss_D_real: -0.012212 Loss_D_fake 0.037820
[87/5000][465/535][8674] Loss_D: -0.049810 Loss_G: 0.043614 Loss_D_real: -0.043665 Loss_D_fake 0.006145
[87/5000][470/535][8675] Loss_D: -0.050630 Loss_G: 0.013308 Loss_D_real: -0.016832 Loss_D_fake 0.033798
[87/5000][475/535][8676] Loss_D: -0.052509 Loss_G: 0.022893 Loss_D_real: -0.027269 Loss_D_fake 0.025240
[87/5000][480/535][8677] Loss_D: -0.049708 Loss_G: 0.057569 Loss_D_real: -0.053297 Loss_D_fake -0.003589
[87/5000][485/535][8678] Loss_D: -0.051561 Loss_G: 0.000746 Loss_D_real: -0.014596 Loss_D_fake 0.036965
[87/5000][490/535][8679] Loss_D: -0.051797 Loss_G: 0.042401 Loss_D_real: -0.046159 Loss_D_fake 0.005638
[87/5000][495/535][8680] Loss_D: -0.051921 Loss_G: -0.007724 Loss_D_real: -0.009186 Loss_D_fake 0.042735
[87/5000][500/535][8681] Loss_D: -0.051582 Loss_G: 0.042202 Loss_D_real: -0.038779 Loss_D_fake 0.012803
[87/5000][505/535][8682] Loss_D: -0.052788 Loss_G: 0.027322 Loss_D_real: -0.035504 Loss_D_fake 0.017284
[87/5000][510/535][8683] Loss_D: -0.051554 Loss_G: 0.042460 Loss_D_real: -0.042315 Loss_D_fake 0.009239
[87/5000][515/535][8684] Loss_D: -0.050242 Loss_G: 0.006621 Loss_D_real: -0.017584 Loss_D_fake 0.032658
[87/5000][520/535][8685] Loss_D: -0.050221 Loss_G: 0.014197 Loss_D_real: -0.022767 Loss_D_fake 0.027453
[87/5000][525/535][8686] Loss_D: -0.050174 Loss_G: 0.012101 Loss_D_real: -0.021657 Loss_D_fake 0.028518
[87/5000][530/535][8687] Loss_D: -0.049161 Loss_G: 0.035254 Loss_D_real: -0.036265 Loss_D_fake 0.012896
[87/5000][535/535][8688] Loss_D: -0.051073 Loss_G: 0.012271 Loss_D_real: -0.011575 Loss_D_fake 0.039498
[88/5000][5/535][8689] Loss_D: -0.048288 Loss_G: 0.035454 Loss_D_real: -0.041283 Loss_D_fake 0.007005
[88/5000][10/535][8690] Loss_D: -0.049115 Loss_G: 0.011592 Loss_D_real: -0.020382 Loss_D_fake 0.028733
[88/5000][15/535][8691] Loss_D: -0.047618 Loss_G: 0.047594 Loss_D_real: -0.050308 Loss_D_fake -0.002690
[88/5000][20/535][8692] Loss_D: -0.052113 Loss_G: 0.032411 Loss_D_real: -0.031013 Loss_D_fake 0.021100
[88/5000][25/535][8693] Loss_D: -0.052743 Loss_G: 0.032588 Loss_D_real: -0.030553 Loss_D_fake 0.022190
[88/5000][30/535][8694] Loss_D: -0.054789 Loss_G: 0.045583 Loss_D_real: -0.037594 Loss_D_fake 0.017195
[88/5000][35/535][8695] Loss_D: -0.054584 Loss_G: 0.013406 Loss_D_real: -0.015132 Loss_D_fake 0.039452
[88/5000][40/535][8696] Loss_D: -0.050691 Loss_G: 0.036932 Loss_D_real: -0.037591 Loss_D_fake 0.013100
[88/5000][45/535][8697] Loss_D: -0.050517 Loss_G: 0.000679 Loss_D_real: -0.008486 Loss_D_fake 0.042031
[88/5000][50/535][8698] Loss_D: -0.049816 Loss_G: 0.047287 Loss_D_real: -0.051365 Loss_D_fake -0.001549
[88/5000][55/535][8699] Loss_D: -0.050548 Loss_G: -0.000263 Loss_D_real: -0.011494 Loss_D_fake 0.039054
[88/5000][60/535][8700] Loss_D: -0.050439 Loss_G: 0.042821 Loss_D_real: -0.043756 Loss_D_fake 0.006683
[88/5000][65/535][8701] Loss_D: -0.050708 Loss_G: 0.037830 Loss_D_real: -0.039796 Loss_D_fake 0.010911
[88/5000][70/535][8702] Loss_D: -0.055312 Loss_G: 0.038412 Loss_D_real: -0.038051 Loss_D_fake 0.017261
[88/5000][75/535][8703] Loss_D: -0.051180 Loss_G: 0.024190 Loss_D_real: -0.029115 Loss_D_fake 0.022065
[88/5000][80/535][8704] Loss_D: -0.052511 Loss_G: 0.017795 Loss_D_real: -0.023811 Loss_D_fake 0.028700
[88/5000][85/535][8705] Loss_D: -0.049762 Loss_G: 0.053229 Loss_D_real: -0.049926 Loss_D_fake -0.000164
[88/5000][90/535][8706] Loss_D: -0.048308 Loss_G: -0.012446 Loss_D_real: -0.005507 Loss_D_fake 0.042801
[88/5000][95/535][8707] Loss_D: -0.046321 Loss_G: 0.031107 Loss_D_real: -0.031079 Loss_D_fake 0.015242
[88/5000][100/535][8708] Loss_D: -0.049648 Loss_G: 0.020586 Loss_D_real: -0.028444 Loss_D_fake 0.021204
[88/5000][105/535][8709] Loss_D: -0.050129 Loss_G: 0.044582 Loss_D_real: -0.035053 Loss_D_fake 0.015076
[88/5000][110/535][8710] Loss_D: -0.050594 Loss_G: 0.003765 Loss_D_real: -0.015162 Loss_D_fake 0.035432
[88/5000][115/535][8711] Loss_D: -0.048275 Loss_G: 0.047250 Loss_D_real: -0.047998 Loss_D_fake 0.000277
[88/5000][120/535][8712] Loss_D: -0.051447 Loss_G: 0.037965 Loss_D_real: -0.039774 Loss_D_fake 0.011673
[88/5000][125/535][8713] Loss_D: -0.049158 Loss_G: -0.004350 Loss_D_real: -0.008091 Loss_D_fake 0.041067
[88/5000][130/535][8714] Loss_D: -0.049458 Loss_G: 0.030452 Loss_D_real: -0.034863 Loss_D_fake 0.014595
[88/5000][135/535][8715] Loss_D: -0.052086 Loss_G: 0.008983 Loss_D_real: -0.022931 Loss_D_fake 0.029156
[88/5000][140/535][8716] Loss_D: -0.050623 Loss_G: 0.045171 Loss_D_real: -0.045579 Loss_D_fake 0.005044
[88/5000][145/535][8717] Loss_D: -0.052036 Loss_G: -0.000223 Loss_D_real: -0.010281 Loss_D_fake 0.041755
[88/5000][150/535][8718] Loss_D: -0.049035 Loss_G: 0.032517 Loss_D_real: -0.036707 Loss_D_fake 0.012328
[88/5000][155/535][8719] Loss_D: -0.053570 Loss_G: 0.042606 Loss_D_real: -0.037109 Loss_D_fake 0.016460
[88/5000][160/535][8720] Loss_D: -0.047577 Loss_G: -0.009917 Loss_D_real: -0.004826 Loss_D_fake 0.042751
[88/5000][165/535][8721] Loss_D: -0.047940 Loss_G: 0.031239 Loss_D_real: -0.037999 Loss_D_fake 0.009941
[88/5000][170/535][8722] Loss_D: -0.050814 Loss_G: 0.024686 Loss_D_real: -0.025067 Loss_D_fake 0.025747
[88/5000][175/535][8723] Loss_D: -0.050535 Loss_G: 0.046008 Loss_D_real: -0.044746 Loss_D_fake 0.005788
[88/5000][180/535][8724] Loss_D: -0.051257 Loss_G: -0.004783 Loss_D_real: -0.009772 Loss_D_fake 0.041485
[88/5000][185/535][8725] Loss_D: -0.048017 Loss_G: 0.026235 Loss_D_real: -0.032569 Loss_D_fake 0.015448
[88/5000][190/535][8726] Loss_D: -0.050540 Loss_G: 0.029400 Loss_D_real: -0.038270 Loss_D_fake 0.012270
[88/5000][195/535][8727] Loss_D: -0.052428 Loss_G: 0.010910 Loss_D_real: -0.020305 Loss_D_fake 0.032123
[88/5000][200/535][8728] Loss_D: -0.049638 Loss_G: 0.046978 Loss_D_real: -0.048420 Loss_D_fake 0.001217
[88/5000][205/535][8729] Loss_D: -0.050148 Loss_G: 0.012971 Loss_D_real: -0.018524 Loss_D_fake 0.031623
[88/5000][210/535][8730] Loss_D: -0.050829 Loss_G: 0.048426 Loss_D_real: -0.047346 Loss_D_fake 0.003483
[88/5000][215/535][8731] Loss_D: -0.050732 Loss_G: 0.013173 Loss_D_real: -0.016965 Loss_D_fake 0.033767
[88/5000][220/535][8732] Loss_D: -0.049020 Loss_G: 0.047030 Loss_D_real: -0.049778 Loss_D_fake -0.000758
[88/5000][225/535][8733] Loss_D: -0.051490 Loss_G: 0.031330 Loss_D_real: -0.031014 Loss_D_fake 0.020476
[88/5000][230/535][8734] Loss_D: -0.051484 Loss_G: 0.013725 Loss_D_real: -0.025357 Loss_D_fake 0.026126
[88/5000][235/535][8735] Loss_D: -0.054594 Loss_G: 0.048572 Loss_D_real: -0.039584 Loss_D_fake 0.015010
[88/5000][240/535][8736] Loss_D: -0.052694 Loss_G: 0.028660 Loss_D_real: -0.032453 Loss_D_fake 0.020241
[88/5000][245/535][8737] Loss_D: -0.049152 Loss_G: 0.045384 Loss_D_real: -0.042898 Loss_D_fake 0.006254
[88/5000][250/535][8738] Loss_D: -0.049858 Loss_G: 0.002595 Loss_D_real: -0.011354 Loss_D_fake 0.038503
[88/5000][255/535][8739] Loss_D: -0.048997 Loss_G: 0.048067 Loss_D_real: -0.049241 Loss_D_fake -0.000245
[88/5000][260/535][8740] Loss_D: -0.049765 Loss_G: 0.021441 Loss_D_real: -0.025881 Loss_D_fake 0.023884
[88/5000][265/535][8741] Loss_D: -0.048731 Loss_G: 0.035460 Loss_D_real: -0.040493 Loss_D_fake 0.008238
[88/5000][270/535][8742] Loss_D: -0.049946 Loss_G: 0.014471 Loss_D_real: -0.022190 Loss_D_fake 0.027756
[88/5000][275/535][8743] Loss_D: -0.049023 Loss_G: 0.041547 Loss_D_real: -0.045654 Loss_D_fake 0.003369
[88/5000][280/535][8744] Loss_D: -0.049412 Loss_G: 0.013115 Loss_D_real: -0.021791 Loss_D_fake 0.027621
[88/5000][285/535][8745] Loss_D: -0.052201 Loss_G: 0.020022 Loss_D_real: -0.033749 Loss_D_fake 0.018451
[88/5000][290/535][8746] Loss_D: -0.051663 Loss_G: 0.045776 Loss_D_real: -0.039963 Loss_D_fake 0.011701
[88/5000][295/535][8747] Loss_D: -0.052456 Loss_G: 0.019954 Loss_D_real: -0.027561 Loss_D_fake 0.024894
[88/5000][300/535][8748] Loss_D: -0.051875 Loss_G: 0.041402 Loss_D_real: -0.043071 Loss_D_fake 0.008805
[88/5000][305/535][8749] Loss_D: -0.052312 Loss_G: 0.013294 Loss_D_real: -0.022292 Loss_D_fake 0.030020
[88/5000][310/535][8750] Loss_D: -0.049978 Loss_G: 0.045172 Loss_D_real: -0.047154 Loss_D_fake 0.002824
[88/5000][315/535][8751] Loss_D: -0.051335 Loss_G: 0.000273 Loss_D_real: -0.020501 Loss_D_fake 0.030834
[88/5000][320/535][8752] Loss_D: -0.047935 Loss_G: 0.034530 Loss_D_real: -0.041424 Loss_D_fake 0.006511
[88/5000][325/535][8753] Loss_D: -0.050423 Loss_G: 0.018434 Loss_D_real: -0.020177 Loss_D_fake 0.030246
[88/5000][330/535][8754] Loss_D: -0.049812 Loss_G: 0.031854 Loss_D_real: -0.033178 Loss_D_fake 0.016634
[88/5000][335/535][8755] Loss_D: -0.051287 Loss_G: 0.042027 Loss_D_real: -0.037077 Loss_D_fake 0.014210
[88/5000][340/535][8756] Loss_D: -0.051428 Loss_G: 0.030212 Loss_D_real: -0.031312 Loss_D_fake 0.020116
[88/5000][345/535][8757] Loss_D: -0.049884 Loss_G: 0.028816 Loss_D_real: -0.033307 Loss_D_fake 0.016577
[88/5000][350/535][8758] Loss_D: -0.049248 Loss_G: 0.054493 Loss_D_real: -0.051376 Loss_D_fake -0.002128
[88/5000][355/535][8759] Loss_D: -0.051657 Loss_G: 0.012492 Loss_D_real: -0.019845 Loss_D_fake 0.031812
[88/5000][360/535][8760] Loss_D: -0.050112 Loss_G: 0.050599 Loss_D_real: -0.040605 Loss_D_fake 0.009507
[88/5000][365/535][8761] Loss_D: -0.052416 Loss_G: -0.011240 Loss_D_real: -0.012685 Loss_D_fake 0.039731
[88/5000][370/535][8762] Loss_D: -0.049481 Loss_G: 0.039209 Loss_D_real: -0.040291 Loss_D_fake 0.009190
[88/5000][375/535][8763] Loss_D: -0.054024 Loss_G: 0.044683 Loss_D_real: -0.039421 Loss_D_fake 0.014603
[88/5000][380/535][8764] Loss_D: -0.052631 Loss_G: 0.016108 Loss_D_real: -0.019840 Loss_D_fake 0.032791
[88/5000][385/535][8765] Loss_D: -0.043224 Loss_G: 0.064450 Loss_D_real: -0.062293 Loss_D_fake -0.019069
[88/5000][390/535][8766] Loss_D: -0.048203 Loss_G: 0.000273 Loss_D_real: -0.009993 Loss_D_fake 0.038210
[88/5000][395/535][8767] Loss_D: -0.045261 Loss_G: 0.043981 Loss_D_real: -0.041094 Loss_D_fake 0.004167
[88/5000][400/535][8768] Loss_D: -0.048667 Loss_G: 0.019395 Loss_D_real: -0.027241 Loss_D_fake 0.021426
[88/5000][405/535][8769] Loss_D: -0.049310 Loss_G: 0.038957 Loss_D_real: -0.037526 Loss_D_fake 0.011785
[88/5000][410/535][8770] Loss_D: -0.052952 Loss_G: 0.032706 Loss_D_real: -0.032865 Loss_D_fake 0.020087
[88/5000][415/535][8771] Loss_D: -0.050318 Loss_G: 0.054209 Loss_D_real: -0.050667 Loss_D_fake -0.000349
[88/5000][420/535][8772] Loss_D: -0.050304 Loss_G: -0.003444 Loss_D_real: -0.011621 Loss_D_fake 0.038683
[88/5000][425/535][8773] Loss_D: -0.050045 Loss_G: 0.042339 Loss_D_real: -0.044051 Loss_D_fake 0.005994
[88/5000][430/535][8774] Loss_D: -0.048830 Loss_G: 0.025967 Loss_D_real: -0.023778 Loss_D_fake 0.025052
[88/5000][435/535][8775] Loss_D: -0.052960 Loss_G: 0.032219 Loss_D_real: -0.031459 Loss_D_fake 0.021501
[88/5000][440/535][8776] Loss_D: -0.051744 Loss_G: 0.036018 Loss_D_real: -0.039818 Loss_D_fake 0.011926
[88/5000][445/535][8777] Loss_D: -0.053332 Loss_G: 0.037863 Loss_D_real: -0.037943 Loss_D_fake 0.015390
[88/5000][450/535][8778] Loss_D: -0.050926 Loss_G: 0.011816 Loss_D_real: -0.020001 Loss_D_fake 0.030925
[88/5000][455/535][8779] Loss_D: -0.052613 Loss_G: 0.040741 Loss_D_real: -0.043107 Loss_D_fake 0.009506
[88/5000][460/535][8780] Loss_D: -0.051887 Loss_G: 0.040412 Loss_D_real: -0.033623 Loss_D_fake 0.018264
[88/5000][465/535][8781] Loss_D: -0.053293 Loss_G: 0.013507 Loss_D_real: -0.026854 Loss_D_fake 0.026439
[88/5000][470/535][8782] Loss_D: -0.051763 Loss_G: 0.057050 Loss_D_real: -0.045258 Loss_D_fake 0.006505
[88/5000][475/535][8783] Loss_D: -0.051239 Loss_G: 0.017312 Loss_D_real: -0.023568 Loss_D_fake 0.027671
[88/5000][480/535][8784] Loss_D: -0.049110 Loss_G: 0.049882 Loss_D_real: -0.051149 Loss_D_fake -0.002039
[88/5000][485/535][8785] Loss_D: -0.051707 Loss_G: 0.006298 Loss_D_real: -0.019224 Loss_D_fake 0.032483
[88/5000][490/535][8786] Loss_D: -0.048248 Loss_G: 0.056070 Loss_D_real: -0.052173 Loss_D_fake -0.003925
[88/5000][495/535][8787] Loss_D: -0.048995 Loss_G: -0.004353 Loss_D_real: -0.004856 Loss_D_fake 0.044139
[88/5000][500/535][8788] Loss_D: -0.050417 Loss_G: 0.040048 Loss_D_real: -0.038007 Loss_D_fake 0.012411
[88/5000][505/535][8789] Loss_D: -0.054994 Loss_G: 0.042114 Loss_D_real: -0.044190 Loss_D_fake 0.010804
[88/5000][510/535][8790] Loss_D: -0.052223 Loss_G: -0.001133 Loss_D_real: -0.016989 Loss_D_fake 0.035234
[88/5000][515/535][8791] Loss_D: -0.049398 Loss_G: 0.051764 Loss_D_real: -0.055525 Loss_D_fake -0.006128
[88/5000][520/535][8792] Loss_D: -0.048343 Loss_G: -0.004428 Loss_D_real: -0.002251 Loss_D_fake 0.046093
[88/5000][525/535][8793] Loss_D: -0.050784 Loss_G: 0.033862 Loss_D_real: -0.038647 Loss_D_fake 0.012137
[88/5000][530/535][8794] Loss_D: -0.048976 Loss_G: 0.019822 Loss_D_real: -0.024548 Loss_D_fake 0.024428
[88/5000][535/535][8795] Loss_D: -0.049796 Loss_G: 0.040588 Loss_D_real: -0.037179 Loss_D_fake 0.012616
[89/5000][5/535][8796] Loss_D: -0.051137 Loss_G: 0.008518 Loss_D_real: -0.020542 Loss_D_fake 0.030596
[89/5000][10/535][8797] Loss_D: -0.046429 Loss_G: 0.045039 Loss_D_real: -0.041219 Loss_D_fake 0.005210
[89/5000][15/535][8798] Loss_D: -0.051750 Loss_G: 0.012174 Loss_D_real: -0.014745 Loss_D_fake 0.037005
[89/5000][20/535][8799] Loss_D: -0.050005 Loss_G: 0.042361 Loss_D_real: -0.040970 Loss_D_fake 0.009035
[89/5000][25/535][8800] Loss_D: -0.051409 Loss_G: 0.038547 Loss_D_real: -0.035528 Loss_D_fake 0.015880
[89/5000][30/535][8801] Loss_D: -0.051308 Loss_G: 0.006076 Loss_D_real: -0.019445 Loss_D_fake 0.031862
[89/5000][35/535][8802] Loss_D: -0.048942 Loss_G: 0.039326 Loss_D_real: -0.042889 Loss_D_fake 0.006053
[89/5000][40/535][8803] Loss_D: -0.051296 Loss_G: 0.004338 Loss_D_real: -0.014467 Loss_D_fake 0.036828
[89/5000][45/535][8804] Loss_D: -0.050467 Loss_G: 0.038861 Loss_D_real: -0.037637 Loss_D_fake 0.012829
[89/5000][50/535][8805] Loss_D: -0.051263 Loss_G: 0.001743 Loss_D_real: -0.019044 Loss_D_fake 0.032219
[89/5000][55/535][8806] Loss_D: -0.049123 Loss_G: 0.045356 Loss_D_real: -0.047080 Loss_D_fake 0.002044
[89/5000][60/535][8807] Loss_D: -0.050408 Loss_G: 0.017508 Loss_D_real: -0.024464 Loss_D_fake 0.025943
[89/5000][65/535][8808] Loss_D: -0.051295 Loss_G: 0.046922 Loss_D_real: -0.043502 Loss_D_fake 0.007793
[89/5000][70/535][8809] Loss_D: -0.050919 Loss_G: -0.006569 Loss_D_real: -0.009175 Loss_D_fake 0.041744
[89/5000][75/535][8810] Loss_D: -0.049840 Loss_G: 0.034854 Loss_D_real: -0.037466 Loss_D_fake 0.012374
[89/5000][80/535][8811] Loss_D: -0.050605 Loss_G: 0.042503 Loss_D_real: -0.043689 Loss_D_fake 0.006916
[89/5000][85/535][8812] Loss_D: -0.050899 Loss_G: 0.022688 Loss_D_real: -0.023210 Loss_D_fake 0.027690
[89/5000][90/535][8813] Loss_D: -0.050957 Loss_G: 0.045992 Loss_D_real: -0.040446 Loss_D_fake 0.010511
[89/5000][95/535][8814] Loss_D: -0.052033 Loss_G: 0.020538 Loss_D_real: -0.023537 Loss_D_fake 0.028496
[89/5000][100/535][8815] Loss_D: -0.047183 Loss_G: 0.049026 Loss_D_real: -0.052478 Loss_D_fake -0.005295
[89/5000][105/535][8816] Loss_D: -0.052039 Loss_G: 0.014066 Loss_D_real: -0.015633 Loss_D_fake 0.036407
[89/5000][110/535][8817] Loss_D: -0.050826 Loss_G: 0.039074 Loss_D_real: -0.039897 Loss_D_fake 0.010929
[89/5000][115/535][8818] Loss_D: -0.048589 Loss_G: 0.036798 Loss_D_real: -0.036112 Loss_D_fake 0.012477
[89/5000][120/535][8819] Loss_D: -0.051425 Loss_G: 0.026692 Loss_D_real: -0.031139 Loss_D_fake 0.020285
[89/5000][125/535][8820] Loss_D: -0.050133 Loss_G: -0.006399 Loss_D_real: -0.005840 Loss_D_fake 0.044293
[89/5000][130/535][8821] Loss_D: -0.047027 Loss_G: 0.051827 Loss_D_real: -0.047806 Loss_D_fake -0.000779
[89/5000][135/535][8822] Loss_D: -0.049057 Loss_G: 0.020303 Loss_D_real: -0.021336 Loss_D_fake 0.027721
[89/5000][140/535][8823] Loss_D: -0.049372 Loss_G: 0.043847 Loss_D_real: -0.046075 Loss_D_fake 0.003298
[89/5000][145/535][8824] Loss_D: -0.048941 Loss_G: 0.014047 Loss_D_real: -0.023140 Loss_D_fake 0.025801
[89/5000][150/535][8825] Loss_D: -0.050338 Loss_G: 0.028802 Loss_D_real: -0.036500 Loss_D_fake 0.013838
[89/5000][155/535][8826] Loss_D: -0.050017 Loss_G: 0.008286 Loss_D_real: -0.014212 Loss_D_fake 0.035804
[89/5000][160/535][8827] Loss_D: -0.050079 Loss_G: 0.033826 Loss_D_real: -0.037439 Loss_D_fake 0.012640
[89/5000][165/535][8828] Loss_D: -0.049778 Loss_G: 0.006649 Loss_D_real: -0.010419 Loss_D_fake 0.039359
[89/5000][170/535][8829] Loss_D: -0.050223 Loss_G: 0.044316 Loss_D_real: -0.039999 Loss_D_fake 0.010224
[89/5000][175/535][8830] Loss_D: -0.049242 Loss_G: 0.016650 Loss_D_real: -0.024802 Loss_D_fake 0.024440
[89/5000][180/535][8831] Loss_D: -0.049760 Loss_G: 0.021651 Loss_D_real: -0.031906 Loss_D_fake 0.017854
[89/5000][185/535][8832] Loss_D: -0.050096 Loss_G: 0.020613 Loss_D_real: -0.031107 Loss_D_fake 0.018989
[89/5000][190/535][8833] Loss_D: -0.049882 Loss_G: 0.040633 Loss_D_real: -0.041133 Loss_D_fake 0.008749
[89/5000][195/535][8834] Loss_D: -0.051306 Loss_G: 0.013460 Loss_D_real: -0.021533 Loss_D_fake 0.029773
[89/5000][200/535][8835] Loss_D: -0.050649 Loss_G: 0.046447 Loss_D_real: -0.052827 Loss_D_fake -0.002178
[89/5000][205/535][8836] Loss_D: -0.051645 Loss_G: 0.029873 Loss_D_real: -0.033260 Loss_D_fake 0.018385
[89/5000][210/535][8837] Loss_D: -0.053161 Loss_G: 0.039460 Loss_D_real: -0.036406 Loss_D_fake 0.016755
[89/5000][215/535][8838] Loss_D: -0.050991 Loss_G: 0.006341 Loss_D_real: -0.017179 Loss_D_fake 0.033812
[89/5000][220/535][8839] Loss_D: -0.048426 Loss_G: 0.034371 Loss_D_real: -0.032492 Loss_D_fake 0.015934
[89/5000][225/535][8840] Loss_D: -0.050092 Loss_G: 0.016010 Loss_D_real: -0.024237 Loss_D_fake 0.025855
[89/5000][230/535][8841] Loss_D: -0.049909 Loss_G: 0.029883 Loss_D_real: -0.032612 Loss_D_fake 0.017297
[89/5000][235/535][8842] Loss_D: -0.051416 Loss_G: 0.022864 Loss_D_real: -0.030415 Loss_D_fake 0.021001
[89/5000][240/535][8843] Loss_D: -0.051105 Loss_G: 0.036986 Loss_D_real: -0.033058 Loss_D_fake 0.018047
[89/5000][245/535][8844] Loss_D: -0.048836 Loss_G: 0.048860 Loss_D_real: -0.048517 Loss_D_fake 0.000319
[89/5000][250/535][8845] Loss_D: -0.050995 Loss_G: 0.006000 Loss_D_real: -0.014486 Loss_D_fake 0.036509
[89/5000][255/535][8846] Loss_D: -0.049416 Loss_G: 0.036624 Loss_D_real: -0.041162 Loss_D_fake 0.008254
[89/5000][260/535][8847] Loss_D: -0.051608 Loss_G: 0.038301 Loss_D_real: -0.035704 Loss_D_fake 0.015904
[89/5000][265/535][8848] Loss_D: -0.051358 Loss_G: 0.032997 Loss_D_real: -0.033481 Loss_D_fake 0.017877
[89/5000][270/535][8849] Loss_D: -0.052689 Loss_G: 0.051346 Loss_D_real: -0.042860 Loss_D_fake 0.009829
[89/5000][275/535][8850] Loss_D: -0.052083 Loss_G: 0.032421 Loss_D_real: -0.030868 Loss_D_fake 0.021215
[89/5000][280/535][8851] Loss_D: -0.052938 Loss_G: 0.011481 Loss_D_real: -0.019187 Loss_D_fake 0.033751
[89/5000][285/535][8852] Loss_D: -0.050602 Loss_G: 0.053171 Loss_D_real: -0.051527 Loss_D_fake -0.000925
[89/5000][290/535][8853] Loss_D: -0.052110 Loss_G: 0.019907 Loss_D_real: -0.026974 Loss_D_fake 0.025137
[89/5000][295/535][8854] Loss_D: -0.051021 Loss_G: 0.018382 Loss_D_real: -0.025765 Loss_D_fake 0.025256
[89/5000][300/535][8855] Loss_D: -0.051363 Loss_G: 0.037008 Loss_D_real: -0.038425 Loss_D_fake 0.012938
[89/5000][305/535][8856] Loss_D: -0.054123 Loss_G: 0.040001 Loss_D_real: -0.036836 Loss_D_fake 0.017287
[89/5000][310/535][8857] Loss_D: -0.050276 Loss_G: 0.057928 Loss_D_real: -0.052712 Loss_D_fake -0.002436
[89/5000][315/535][8858] Loss_D: -0.048026 Loss_G: -0.015624 Loss_D_real: -0.002258 Loss_D_fake 0.045768
[89/5000][320/535][8859] Loss_D: -0.048023 Loss_G: 0.040846 Loss_D_real: -0.047596 Loss_D_fake 0.000428
[89/5000][325/535][8860] Loss_D: -0.047397 Loss_G: -0.017519 Loss_D_real: -0.000656 Loss_D_fake 0.046741
[89/5000][330/535][8861] Loss_D: -0.049088 Loss_G: 0.026529 Loss_D_real: -0.029770 Loss_D_fake 0.019319
[89/5000][335/535][8862] Loss_D: -0.048132 Loss_G: 0.021168 Loss_D_real: -0.029429 Loss_D_fake 0.018703
[89/5000][340/535][8863] Loss_D: -0.050451 Loss_G: 0.047399 Loss_D_real: -0.045794 Loss_D_fake 0.004657
[89/5000][345/535][8864] Loss_D: -0.048861 Loss_G: -0.011776 Loss_D_real: 0.005177 Loss_D_fake 0.054038
[89/5000][350/535][8865] Loss_D: -0.047244 Loss_G: 0.039524 Loss_D_real: -0.040020 Loss_D_fake 0.007224
[89/5000][355/535][8866] Loss_D: -0.051082 Loss_G: 0.015305 Loss_D_real: -0.021752 Loss_D_fake 0.029330
[89/5000][360/535][8867] Loss_D: -0.049008 Loss_G: 0.035149 Loss_D_real: -0.037658 Loss_D_fake 0.011350
[89/5000][365/535][8868] Loss_D: -0.049807 Loss_G: 0.001760 Loss_D_real: -0.011127 Loss_D_fake 0.038679
[89/5000][370/535][8869] Loss_D: -0.051483 Loss_G: 0.034671 Loss_D_real: -0.035171 Loss_D_fake 0.016312
[89/5000][375/535][8870] Loss_D: -0.049635 Loss_G: 0.018887 Loss_D_real: -0.026446 Loss_D_fake 0.023189
[89/5000][380/535][8871] Loss_D: -0.049016 Loss_G: 0.054022 Loss_D_real: -0.049595 Loss_D_fake -0.000579
[89/5000][385/535][8872] Loss_D: -0.046859 Loss_G: -0.022073 Loss_D_real: -0.000299 Loss_D_fake 0.046561
[89/5000][390/535][8873] Loss_D: -0.047328 Loss_G: 0.034799 Loss_D_real: -0.041433 Loss_D_fake 0.005895
[89/5000][395/535][8874] Loss_D: -0.047715 Loss_G: 0.012665 Loss_D_real: -0.023815 Loss_D_fake 0.023899
[89/5000][400/535][8875] Loss_D: -0.049320 Loss_G: 0.018470 Loss_D_real: -0.026980 Loss_D_fake 0.022341
[89/5000][405/535][8876] Loss_D: -0.052754 Loss_G: 0.005399 Loss_D_real: -0.018642 Loss_D_fake 0.034112
[89/5000][410/535][8877] Loss_D: -0.049893 Loss_G: 0.024595 Loss_D_real: -0.024800 Loss_D_fake 0.025093
[89/5000][415/535][8878] Loss_D: -0.051740 Loss_G: 0.017748 Loss_D_real: -0.031542 Loss_D_fake 0.020198
[89/5000][420/535][8879] Loss_D: -0.052257 Loss_G: 0.028013 Loss_D_real: -0.034651 Loss_D_fake 0.017607
[89/5000][425/535][8880] Loss_D: -0.049395 Loss_G: 0.003742 Loss_D_real: -0.012866 Loss_D_fake 0.036528
[89/5000][430/535][8881] Loss_D: -0.047877 Loss_G: 0.032713 Loss_D_real: -0.033098 Loss_D_fake 0.014778
[89/5000][435/535][8882] Loss_D: -0.050648 Loss_G: 0.001412 Loss_D_real: -0.013206 Loss_D_fake 0.037442
[89/5000][440/535][8883] Loss_D: -0.048269 Loss_G: 0.045659 Loss_D_real: -0.044619 Loss_D_fake 0.003651
[89/5000][445/535][8884] Loss_D: -0.050986 Loss_G: 0.025111 Loss_D_real: -0.027279 Loss_D_fake 0.023707
[89/5000][450/535][8885] Loss_D: -0.050256 Loss_G: 0.048536 Loss_D_real: -0.046194 Loss_D_fake 0.004062
[89/5000][455/535][8886] Loss_D: -0.048610 Loss_G: 0.058013 Loss_D_real: -0.051013 Loss_D_fake -0.002403
[89/5000][460/535][8887] Loss_D: -0.045807 Loss_G: -0.013134 Loss_D_real: 0.001040 Loss_D_fake 0.046847
[89/5000][465/535][8888] Loss_D: -0.047332 Loss_G: 0.037602 Loss_D_real: -0.041811 Loss_D_fake 0.005521
[89/5000][470/535][8889] Loss_D: -0.047968 Loss_G: 0.024081 Loss_D_real: -0.026749 Loss_D_fake 0.021219
[89/5000][475/535][8890] Loss_D: -0.049523 Loss_G: 0.040815 Loss_D_real: -0.035797 Loss_D_fake 0.013725
[89/5000][480/535][8891] Loss_D: -0.049972 Loss_G: 0.011313 Loss_D_real: -0.017906 Loss_D_fake 0.032066
[89/5000][485/535][8892] Loss_D: -0.052132 Loss_G: 0.042765 Loss_D_real: -0.042686 Loss_D_fake 0.009446
[89/5000][490/535][8893] Loss_D: -0.054064 Loss_G: 0.026607 Loss_D_real: -0.029684 Loss_D_fake 0.024380
[89/5000][495/535][8894] Loss_D: -0.053159 Loss_G: 0.041040 Loss_D_real: -0.039028 Loss_D_fake 0.014131
[89/5000][500/535][8895] Loss_D: -0.053961 Loss_G: 0.003279 Loss_D_real: -0.017824 Loss_D_fake 0.036137
[89/5000][505/535][8896] Loss_D: -0.049782 Loss_G: 0.051449 Loss_D_real: -0.050439 Loss_D_fake -0.000657
[89/5000][510/535][8897] Loss_D: -0.049493 Loss_G: 0.001297 Loss_D_real: -0.012931 Loss_D_fake 0.036563
[89/5000][515/535][8898] Loss_D: -0.048775 Loss_G: 0.044290 Loss_D_real: -0.039715 Loss_D_fake 0.009059
[89/5000][520/535][8899] Loss_D: -0.051874 Loss_G: 0.008184 Loss_D_real: -0.017980 Loss_D_fake 0.033894
[89/5000][525/535][8900] Loss_D: -0.050484 Loss_G: 0.046061 Loss_D_real: -0.041728 Loss_D_fake 0.008755
[89/5000][530/535][8901] Loss_D: -0.051302 Loss_G: 0.022382 Loss_D_real: -0.025145 Loss_D_fake 0.026157
[89/5000][535/535][8902] Loss_D: -0.052825 Loss_G: 0.040449 Loss_D_real: -0.039831 Loss_D_fake 0.012994
[90/5000][5/535][8903] Loss_D: -0.050644 Loss_G: 0.005155 Loss_D_real: -0.011715 Loss_D_fake 0.038930
[90/5000][10/535][8904] Loss_D: -0.050191 Loss_G: 0.047547 Loss_D_real: -0.045638 Loss_D_fake 0.004553
[90/5000][15/535][8905] Loss_D: -0.050651 Loss_G: 0.020228 Loss_D_real: -0.027220 Loss_D_fake 0.023431
[90/5000][20/535][8906] Loss_D: -0.047733 Loss_G: 0.052267 Loss_D_real: -0.057544 Loss_D_fake -0.009811
[90/5000][25/535][8907] Loss_D: -0.050072 Loss_G: 0.004298 Loss_D_real: -0.011312 Loss_D_fake 0.038760
[90/5000][30/535][8908] Loss_D: -0.051610 Loss_G: 0.026628 Loss_D_real: -0.038253 Loss_D_fake 0.013358
[90/5000][35/535][8909] Loss_D: -0.050116 Loss_G: 0.044071 Loss_D_real: -0.044704 Loss_D_fake 0.005412
[90/5000][40/535][8910] Loss_D: -0.047588 Loss_G: 0.003320 Loss_D_real: -0.012809 Loss_D_fake 0.034779
[90/5000][45/535][8911] Loss_D: -0.049989 Loss_G: 0.047175 Loss_D_real: -0.044931 Loss_D_fake 0.005059
[90/5000][50/535][8912] Loss_D: -0.052656 Loss_G: -0.000012 Loss_D_real: -0.016827 Loss_D_fake 0.035830
[90/5000][55/535][8913] Loss_D: -0.050887 Loss_G: 0.023857 Loss_D_real: -0.025513 Loss_D_fake 0.025374
[90/5000][60/535][8914] Loss_D: -0.049519 Loss_G: 0.053773 Loss_D_real: -0.054039 Loss_D_fake -0.004519
[90/5000][65/535][8915] Loss_D: -0.050621 Loss_G: 0.012247 Loss_D_real: -0.014960 Loss_D_fake 0.035662
[90/5000][70/535][8916] Loss_D: -0.052103 Loss_G: 0.019310 Loss_D_real: -0.029187 Loss_D_fake 0.022916
[90/5000][75/535][8917] Loss_D: -0.051578 Loss_G: 0.029521 Loss_D_real: -0.033777 Loss_D_fake 0.017801
[90/5000][80/535][8918] Loss_D: -0.049932 Loss_G: 0.013960 Loss_D_real: -0.027274 Loss_D_fake 0.022659
[90/5000][85/535][8919] Loss_D: -0.051011 Loss_G: 0.055284 Loss_D_real: -0.044359 Loss_D_fake 0.006652
[90/5000][90/535][8920] Loss_D: -0.051319 Loss_G: 0.003193 Loss_D_real: -0.013006 Loss_D_fake 0.038313
[90/5000][95/535][8921] Loss_D: -0.048097 Loss_G: 0.034964 Loss_D_real: -0.042698 Loss_D_fake 0.005399
[90/5000][100/535][8922] Loss_D: -0.048880 Loss_G: 0.046175 Loss_D_real: -0.042184 Loss_D_fake 0.006696
[90/5000][105/535][8923] Loss_D: -0.049328 Loss_G: 0.007725 Loss_D_real: -0.019322 Loss_D_fake 0.030006
[90/5000][110/535][8924] Loss_D: -0.047563 Loss_G: 0.044144 Loss_D_real: -0.046921 Loss_D_fake 0.000641
[90/5000][115/535][8925] Loss_D: -0.047786 Loss_G: -0.006579 Loss_D_real: -0.006106 Loss_D_fake 0.041679
[90/5000][120/535][8926] Loss_D: -0.047570 Loss_G: 0.044201 Loss_D_real: -0.045695 Loss_D_fake 0.001874
[90/5000][125/535][8927] Loss_D: -0.050122 Loss_G: 0.011119 Loss_D_real: -0.020301 Loss_D_fake 0.029821
[90/5000][130/535][8928] Loss_D: -0.049082 Loss_G: 0.038403 Loss_D_real: -0.038704 Loss_D_fake 0.010379
[90/5000][135/535][8929] Loss_D: -0.049820 Loss_G: 0.011462 Loss_D_real: -0.015425 Loss_D_fake 0.034394
[90/5000][140/535][8930] Loss_D: -0.053029 Loss_G: 0.017585 Loss_D_real: -0.028503 Loss_D_fake 0.024526
[90/5000][145/535][8931] Loss_D: -0.051848 Loss_G: 0.038685 Loss_D_real: -0.035885 Loss_D_fake 0.015963
[90/5000][150/535][8932] Loss_D: -0.052548 Loss_G: 0.038156 Loss_D_real: -0.032737 Loss_D_fake 0.019811
[90/5000][155/535][8933] Loss_D: -0.052615 Loss_G: 0.038948 Loss_D_real: -0.034730 Loss_D_fake 0.017885
[90/5000][160/535][8934] Loss_D: -0.050734 Loss_G: 0.032575 Loss_D_real: -0.035824 Loss_D_fake 0.014910
[90/5000][165/535][8935] Loss_D: -0.050867 Loss_G: 0.042265 Loss_D_real: -0.038260 Loss_D_fake 0.012607
[90/5000][170/535][8936] Loss_D: -0.050879 Loss_G: 0.011329 Loss_D_real: -0.017477 Loss_D_fake 0.033402
[90/5000][175/535][8937] Loss_D: -0.049521 Loss_G: 0.043502 Loss_D_real: -0.048215 Loss_D_fake 0.001307
[90/5000][180/535][8938] Loss_D: -0.051384 Loss_G: 0.006233 Loss_D_real: -0.025877 Loss_D_fake 0.025507
[90/5000][185/535][8939] Loss_D: -0.050082 Loss_G: 0.044705 Loss_D_real: -0.042793 Loss_D_fake 0.007289
[90/5000][190/535][8940] Loss_D: -0.050446 Loss_G: 0.000867 Loss_D_real: -0.015089 Loss_D_fake 0.035356
[90/5000][195/535][8941] Loss_D: -0.049120 Loss_G: 0.049482 Loss_D_real: -0.043494 Loss_D_fake 0.005627
[90/5000][200/535][8942] Loss_D: -0.051098 Loss_G: 0.000016 Loss_D_real: -0.014748 Loss_D_fake 0.036350
[90/5000][205/535][8943] Loss_D: -0.048366 Loss_G: 0.043753 Loss_D_real: -0.048458 Loss_D_fake -0.000093
[90/5000][210/535][8944] Loss_D: -0.052086 Loss_G: 0.017899 Loss_D_real: -0.026760 Loss_D_fake 0.025326
[90/5000][215/535][8945] Loss_D: -0.048053 Loss_G: 0.049073 Loss_D_real: -0.046482 Loss_D_fake 0.001571
[90/5000][220/535][8946] Loss_D: -0.045454 Loss_G: 0.006154 Loss_D_real: -0.018044 Loss_D_fake 0.027410
[90/5000][225/535][8947] Loss_D: -0.050261 Loss_G: 0.039503 Loss_D_real: -0.040406 Loss_D_fake 0.009855
[90/5000][230/535][8948] Loss_D: -0.053686 Loss_G: 0.031551 Loss_D_real: -0.033089 Loss_D_fake 0.020597
[90/5000][235/535][8949] Loss_D: -0.052878 Loss_G: 0.028671 Loss_D_real: -0.031430 Loss_D_fake 0.021448
[90/5000][240/535][8950] Loss_D: -0.049039 Loss_G: 0.052765 Loss_D_real: -0.050134 Loss_D_fake -0.001095
[90/5000][245/535][8951] Loss_D: -0.048704 Loss_G: -0.003093 Loss_D_real: -0.011248 Loss_D_fake 0.037455
[90/5000][250/535][8952] Loss_D: -0.047744 Loss_G: 0.041250 Loss_D_real: -0.045398 Loss_D_fake 0.002346
[90/5000][255/535][8953] Loss_D: -0.050127 Loss_G: 0.010593 Loss_D_real: -0.018613 Loss_D_fake 0.031515
[90/5000][260/535][8954] Loss_D: -0.049796 Loss_G: 0.035643 Loss_D_real: -0.037479 Loss_D_fake 0.012318
[90/5000][265/535][8955] Loss_D: -0.049529 Loss_G: 0.022229 Loss_D_real: -0.023982 Loss_D_fake 0.025547
[90/5000][270/535][8956] Loss_D: -0.051122 Loss_G: 0.010957 Loss_D_real: -0.022069 Loss_D_fake 0.029053
[90/5000][275/535][8957] Loss_D: -0.051405 Loss_G: 0.051324 Loss_D_real: -0.046252 Loss_D_fake 0.005153
[90/5000][280/535][8958] Loss_D: -0.051434 Loss_G: 0.012941 Loss_D_real: -0.021196 Loss_D_fake 0.030238
[90/5000][285/535][8959] Loss_D: -0.050726 Loss_G: 0.033740 Loss_D_real: -0.038206 Loss_D_fake 0.012520
[90/5000][290/535][8960] Loss_D: -0.051885 Loss_G: 0.026275 Loss_D_real: -0.030364 Loss_D_fake 0.021522
[90/5000][295/535][8961] Loss_D: -0.053646 Loss_G: 0.029806 Loss_D_real: -0.034119 Loss_D_fake 0.019527
[90/5000][300/535][8962] Loss_D: -0.050466 Loss_G: 0.051280 Loss_D_real: -0.046047 Loss_D_fake 0.004419
[90/5000][305/535][8963] Loss_D: -0.047774 Loss_G: 0.020216 Loss_D_real: -0.023907 Loss_D_fake 0.023867
[90/5000][310/535][8964] Loss_D: -0.051061 Loss_G: 0.036659 Loss_D_real: -0.041456 Loss_D_fake 0.009605
[90/5000][315/535][8965] Loss_D: -0.049832 Loss_G: 0.009148 Loss_D_real: -0.019004 Loss_D_fake 0.030828
[90/5000][320/535][8966] Loss_D: -0.049477 Loss_G: 0.047043 Loss_D_real: -0.047181 Loss_D_fake 0.002296
[90/5000][325/535][8967] Loss_D: -0.050136 Loss_G: 0.019617 Loss_D_real: -0.025482 Loss_D_fake 0.024654
[90/5000][330/535][8968] Loss_D: -0.050322 Loss_G: 0.039579 Loss_D_real: -0.037831 Loss_D_fake 0.012491
[90/5000][335/535][8969] Loss_D: -0.046574 Loss_G: 0.055735 Loss_D_real: -0.054510 Loss_D_fake -0.007936
[90/5000][340/535][8970] Loss_D: -0.050024 Loss_G: -0.002408 Loss_D_real: -0.008362 Loss_D_fake 0.041661
[90/5000][345/535][8971] Loss_D: -0.048929 Loss_G: 0.041869 Loss_D_real: -0.041213 Loss_D_fake 0.007716
[90/5000][350/535][8972] Loss_D: -0.048734 Loss_G: 0.015358 Loss_D_real: -0.016793 Loss_D_fake 0.031942
[90/5000][355/535][8973] Loss_D: -0.050209 Loss_G: 0.054025 Loss_D_real: -0.050503 Loss_D_fake -0.000295
[90/5000][360/535][8974] Loss_D: -0.050505 Loss_G: -0.000322 Loss_D_real: -0.014436 Loss_D_fake 0.036069
[90/5000][365/535][8975] Loss_D: -0.049839 Loss_G: 0.042732 Loss_D_real: -0.042396 Loss_D_fake 0.007443
[90/5000][370/535][8976] Loss_D: -0.051333 Loss_G: 0.022060 Loss_D_real: -0.028821 Loss_D_fake 0.022512
[90/5000][375/535][8977] Loss_D: -0.051009 Loss_G: 0.041480 Loss_D_real: -0.041138 Loss_D_fake 0.009871
[90/5000][380/535][8978] Loss_D: -0.051112 Loss_G: -0.003079 Loss_D_real: -0.010845 Loss_D_fake 0.040267
[90/5000][385/535][8979] Loss_D: -0.051334 Loss_G: 0.020280 Loss_D_real: -0.030096 Loss_D_fake 0.021238
[90/5000][390/535][8980] Loss_D: -0.049095 Loss_G: 0.035324 Loss_D_real: -0.037335 Loss_D_fake 0.011760
[90/5000][395/535][8981] Loss_D: -0.050433 Loss_G: 0.055278 Loss_D_real: -0.050140 Loss_D_fake 0.000293
[90/5000][400/535][8982] Loss_D: -0.046022 Loss_G: -0.008987 Loss_D_real: 0.000599 Loss_D_fake 0.046621
[90/5000][405/535][8983] Loss_D: -0.048017 Loss_G: 0.030175 Loss_D_real: -0.036679 Loss_D_fake 0.011337
[90/5000][410/535][8984] Loss_D: -0.049312 Loss_G: 0.006168 Loss_D_real: -0.020180 Loss_D_fake 0.029132
[90/5000][415/535][8985] Loss_D: -0.048686 Loss_G: 0.032645 Loss_D_real: -0.037024 Loss_D_fake 0.011662
[90/5000][420/535][8986] Loss_D: -0.048044 Loss_G: -0.002156 Loss_D_real: -0.013162 Loss_D_fake 0.034882
[90/5000][425/535][8987] Loss_D: -0.049463 Loss_G: 0.039838 Loss_D_real: -0.037872 Loss_D_fake 0.011591
[90/5000][430/535][8988] Loss_D: -0.051430 Loss_G: 0.024873 Loss_D_real: -0.029788 Loss_D_fake 0.021642
[90/5000][435/535][8989] Loss_D: -0.051501 Loss_G: 0.047915 Loss_D_real: -0.048898 Loss_D_fake 0.002604
[90/5000][440/535][8990] Loss_D: -0.050621 Loss_G: 0.028775 Loss_D_real: -0.032731 Loss_D_fake 0.017890
[90/5000][445/535][8991] Loss_D: -0.052486 Loss_G: 0.043955 Loss_D_real: -0.040999 Loss_D_fake 0.011487
[90/5000][450/535][8992] Loss_D: -0.052397 Loss_G: 0.004535 Loss_D_real: -0.012368 Loss_D_fake 0.040028
[90/5000][455/535][8993] Loss_D: -0.050799 Loss_G: 0.038429 Loss_D_real: -0.039696 Loss_D_fake 0.011103
[90/5000][460/535][8994] Loss_D: -0.049488 Loss_G: 0.000174 Loss_D_real: -0.011578 Loss_D_fake 0.037910
[90/5000][465/535][8995] Loss_D: -0.047422 Loss_G: 0.044450 Loss_D_real: -0.050806 Loss_D_fake -0.003384
[90/5000][470/535][8996] Loss_D: -0.052522 Loss_G: 0.014242 Loss_D_real: -0.018620 Loss_D_fake 0.033903
[90/5000][475/535][8997] Loss_D: -0.051023 Loss_G: 0.011440 Loss_D_real: -0.019731 Loss_D_fake 0.031292
[90/5000][480/535][8998] Loss_D: -0.050639 Loss_G: 0.029008 Loss_D_real: -0.026852 Loss_D_fake 0.023787
[90/5000][485/535][8999] Loss_D: -0.051076 Loss_G: 0.032817 Loss_D_real: -0.038555 Loss_D_fake 0.012521
[90/5000][490/535][9000] Loss_D: -0.051714 Loss_G: -0.001243 Loss_D_real: -0.015727 Loss_D_fake 0.035986
[90/5000][535/535][9001] Loss_D: -0.051165 Loss_G: 0.044388 Loss_D_real: -0.047116 Loss_D_fake 0.004048
[91/5000][5/535][9002] Loss_D: -0.054475 Loss_G: 0.024769 Loss_D_real: -0.025502 Loss_D_fake 0.028974
[91/5000][10/535][9003] Loss_D: -0.049827 Loss_G: 0.024998 Loss_D_real: -0.030402 Loss_D_fake 0.019425
[91/5000][15/535][9004] Loss_D: -0.050883 Loss_G: 0.027819 Loss_D_real: -0.030277 Loss_D_fake 0.020606
[91/5000][20/535][9005] Loss_D: -0.050829 Loss_G: 0.026979 Loss_D_real: -0.028389 Loss_D_fake 0.022440
[91/5000][25/535][9006] Loss_D: -0.049847 Loss_G: 0.051008 Loss_D_real: -0.047066 Loss_D_fake 0.002781
[91/5000][30/535][9007] Loss_D: -0.049340 Loss_G: -0.005322 Loss_D_real: -0.009146 Loss_D_fake 0.040195
[91/5000][35/535][9008] Loss_D: -0.047253 Loss_G: 0.032541 Loss_D_real: -0.035484 Loss_D_fake 0.011770
[91/5000][40/535][9009] Loss_D: -0.052259 Loss_G: 0.016163 Loss_D_real: -0.029947 Loss_D_fake 0.022313
[91/5000][45/535][9010] Loss_D: -0.050414 Loss_G: 0.050279 Loss_D_real: -0.045407 Loss_D_fake 0.005007
[91/5000][50/535][9011] Loss_D: -0.049443 Loss_G: 0.002450 Loss_D_real: -0.014878 Loss_D_fake 0.034564
[91/5000][55/535][9012] Loss_D: -0.049856 Loss_G: 0.044085 Loss_D_real: -0.043086 Loss_D_fake 0.006770
[91/5000][60/535][9013] Loss_D: -0.053329 Loss_G: 0.028243 Loss_D_real: -0.034743 Loss_D_fake 0.018586
[91/5000][65/535][9014] Loss_D: -0.050239 Loss_G: 0.022310 Loss_D_real: -0.027547 Loss_D_fake 0.022692
[91/5000][70/535][9015] Loss_D: -0.048935 Loss_G: 0.053363 Loss_D_real: -0.048479 Loss_D_fake 0.000456
[91/5000][75/535][9016] Loss_D: -0.049545 Loss_G: -0.000453 Loss_D_real: -0.009875 Loss_D_fake 0.039669
[91/5000][80/535][9017] Loss_D: -0.046325 Loss_G: 0.038894 Loss_D_real: -0.044120 Loss_D_fake 0.002205
[91/5000][85/535][9018] Loss_D: -0.048991 Loss_G: 0.010716 Loss_D_real: -0.022024 Loss_D_fake 0.026967
[91/5000][90/535][9019] Loss_D: -0.051164 Loss_G: 0.035695 Loss_D_real: -0.035400 Loss_D_fake 0.015764
[91/5000][95/535][9020] Loss_D: -0.050866 Loss_G: 0.041202 Loss_D_real: -0.036617 Loss_D_fake 0.014248
[91/5000][100/535][9021] Loss_D: -0.052948 Loss_G: 0.018826 Loss_D_real: -0.023968 Loss_D_fake 0.028980
[91/5000][105/535][9022] Loss_D: -0.051225 Loss_G: 0.049842 Loss_D_real: -0.043510 Loss_D_fake 0.007715
[91/5000][110/535][9023] Loss_D: -0.052483 Loss_G: 0.012816 Loss_D_real: -0.024046 Loss_D_fake 0.028437
[91/5000][115/535][9024] Loss_D: -0.049084 Loss_G: 0.028039 Loss_D_real: -0.030553 Loss_D_fake 0.018530
[91/5000][120/535][9025] Loss_D: -0.050085 Loss_G: 0.022733 Loss_D_real: -0.026512 Loss_D_fake 0.023574
[91/5000][125/535][9026] Loss_D: -0.051481 Loss_G: 0.025394 Loss_D_real: -0.031854 Loss_D_fake 0.019626
[91/5000][130/535][9027] Loss_D: -0.049221 Loss_G: 0.050997 Loss_D_real: -0.048476 Loss_D_fake 0.000745
[91/5000][135/535][9028] Loss_D: -0.047780 Loss_G: 0.005425 Loss_D_real: -0.008185 Loss_D_fake 0.039596
[91/5000][140/535][9029] Loss_D: -0.048243 Loss_G: 0.035959 Loss_D_real: -0.037952 Loss_D_fake 0.010291
[91/5000][145/535][9030] Loss_D: -0.050909 Loss_G: 0.002731 Loss_D_real: -0.018210 Loss_D_fake 0.032699
[91/5000][150/535][9031] Loss_D: -0.048781 Loss_G: 0.052915 Loss_D_real: -0.044610 Loss_D_fake 0.004171
[91/5000][155/535][9032] Loss_D: -0.048712 Loss_G: -0.008555 Loss_D_real: -0.007984 Loss_D_fake 0.040728
[91/5000][160/535][9033] Loss_D: -0.048228 Loss_G: 0.043700 Loss_D_real: -0.042152 Loss_D_fake 0.006075
[91/5000][165/535][9034] Loss_D: -0.047907 Loss_G: 0.022196 Loss_D_real: -0.020345 Loss_D_fake 0.027562
[91/5000][170/535][9035] Loss_D: -0.050687 Loss_G: 0.018654 Loss_D_real: -0.028388 Loss_D_fake 0.022299
[91/5000][175/535][9036] Loss_D: -0.049181 Loss_G: -0.001132 Loss_D_real: -0.007662 Loss_D_fake 0.041518
[91/5000][180/535][9037] Loss_D: -0.049429 Loss_G: 0.034343 Loss_D_real: -0.034863 Loss_D_fake 0.014567
[91/5000][185/535][9038] Loss_D: -0.049143 Loss_G: 0.016264 Loss_D_real: -0.026993 Loss_D_fake 0.022151
[91/5000][190/535][9039] Loss_D: -0.051990 Loss_G: 0.029113 Loss_D_real: -0.035804 Loss_D_fake 0.016186
[91/5000][195/535][9040] Loss_D: -0.048179 Loss_G: 0.025522 Loss_D_real: -0.023037 Loss_D_fake 0.025143
[91/5000][200/535][9041] Loss_D: -0.049957 Loss_G: 0.026858 Loss_D_real: -0.030932 Loss_D_fake 0.019024
[91/5000][205/535][9042] Loss_D: -0.050459 Loss_G: -0.003912 Loss_D_real: -0.015948 Loss_D_fake 0.034511
[91/5000][210/535][9043] Loss_D: -0.049852 Loss_G: 0.040567 Loss_D_real: -0.044099 Loss_D_fake 0.005753
[91/5000][215/535][9044] Loss_D: -0.050422 Loss_G: 0.009874 Loss_D_real: -0.012322 Loss_D_fake 0.038100
[91/5000][220/535][9045] Loss_D: -0.050007 Loss_G: 0.041924 Loss_D_real: -0.042907 Loss_D_fake 0.007100
[91/5000][225/535][9046] Loss_D: -0.050396 Loss_G: 0.021608 Loss_D_real: -0.033024 Loss_D_fake 0.017371
[91/5000][230/535][9047] Loss_D: -0.049932 Loss_G: 0.048340 Loss_D_real: -0.045176 Loss_D_fake 0.004756
[91/5000][235/535][9048] Loss_D: -0.050961 Loss_G: 0.017370 Loss_D_real: -0.025680 Loss_D_fake 0.025280
[91/5000][240/535][9049] Loss_D: -0.049760 Loss_G: 0.044775 Loss_D_real: -0.045797 Loss_D_fake 0.003963
[91/5000][245/535][9050] Loss_D: -0.051513 Loss_G: 0.019524 Loss_D_real: -0.023334 Loss_D_fake 0.028179
[91/5000][250/535][9051] Loss_D: -0.049422 Loss_G: 0.043354 Loss_D_real: -0.042955 Loss_D_fake 0.006467
[91/5000][255/535][9052] Loss_D: -0.051252 Loss_G: 0.036813 Loss_D_real: -0.034982 Loss_D_fake 0.016270
[91/5000][260/535][9053] Loss_D: -0.052608 Loss_G: 0.011464 Loss_D_real: -0.023415 Loss_D_fake 0.029193
[91/5000][265/535][9054] Loss_D: -0.046507 Loss_G: 0.050636 Loss_D_real: -0.054223 Loss_D_fake -0.007716
[91/5000][270/535][9055] Loss_D: -0.048388 Loss_G: 0.006345 Loss_D_real: -0.015413 Loss_D_fake 0.032975
[91/5000][275/535][9056] Loss_D: -0.048295 Loss_G: 0.037230 Loss_D_real: -0.043890 Loss_D_fake 0.004405
[91/5000][280/535][9057] Loss_D: -0.052315 Loss_G: 0.043450 Loss_D_real: -0.037271 Loss_D_fake 0.015045
[91/5000][285/535][9058] Loss_D: -0.052425 Loss_G: 0.031872 Loss_D_real: -0.034544 Loss_D_fake 0.017881
[91/5000][290/535][9059] Loss_D: -0.049911 Loss_G: 0.046213 Loss_D_real: -0.039890 Loss_D_fake 0.010021
[91/5000][295/535][9060] Loss_D: -0.051173 Loss_G: 0.052722 Loss_D_real: -0.046486 Loss_D_fake 0.004687
[91/5000][300/535][9061] Loss_D: -0.049030 Loss_G: -0.005487 Loss_D_real: -0.004078 Loss_D_fake 0.044952
[91/5000][305/535][9062] Loss_D: -0.049352 Loss_G: 0.036511 Loss_D_real: -0.039480 Loss_D_fake 0.009872
[91/5000][310/535][9063] Loss_D: -0.049685 Loss_G: -0.001893 Loss_D_real: -0.011291 Loss_D_fake 0.038394
[91/5000][315/535][9064] Loss_D: -0.048443 Loss_G: 0.037392 Loss_D_real: -0.040331 Loss_D_fake 0.008112
[91/5000][320/535][9065] Loss_D: -0.049550 Loss_G: 0.027932 Loss_D_real: -0.027098 Loss_D_fake 0.022452
[91/5000][325/535][9066] Loss_D: -0.051192 Loss_G: 0.049465 Loss_D_real: -0.041441 Loss_D_fake 0.009751
[91/5000][330/535][9067] Loss_D: -0.051301 Loss_G: 0.007336 Loss_D_real: -0.016494 Loss_D_fake 0.034806
[91/5000][335/535][9068] Loss_D: -0.047715 Loss_G: 0.045776 Loss_D_real: -0.048407 Loss_D_fake -0.000692
[91/5000][340/535][9069] Loss_D: -0.049342 Loss_G: 0.009309 Loss_D_real: -0.020827 Loss_D_fake 0.028515
[91/5000][345/535][9070] Loss_D: -0.049186 Loss_G: 0.049702 Loss_D_real: -0.052233 Loss_D_fake -0.003047
[91/5000][350/535][9071] Loss_D: -0.051355 Loss_G: 0.002075 Loss_D_real: -0.013623 Loss_D_fake 0.037732
[91/5000][355/535][9072] Loss_D: -0.045924 Loss_G: 0.042908 Loss_D_real: -0.047166 Loss_D_fake -0.001242
[91/5000][360/535][9073] Loss_D: -0.047935 Loss_G: 0.004717 Loss_D_real: -0.016965 Loss_D_fake 0.030970
[91/5000][365/535][9074] Loss_D: -0.050844 Loss_G: 0.042622 Loss_D_real: -0.043743 Loss_D_fake 0.007101
[91/5000][370/535][9075] Loss_D: -0.049500 Loss_G: 0.036665 Loss_D_real: -0.029813 Loss_D_fake 0.019686
[91/5000][375/535][9076] Loss_D: -0.051785 Loss_G: 0.029895 Loss_D_real: -0.030766 Loss_D_fake 0.021019
[91/5000][380/535][9077] Loss_D: -0.051111 Loss_G: 0.021950 Loss_D_real: -0.023584 Loss_D_fake 0.027527
[91/5000][385/535][9078] Loss_D: -0.051264 Loss_G: 0.016122 Loss_D_real: -0.023368 Loss_D_fake 0.027895
[91/5000][390/535][9079] Loss_D: -0.048623 Loss_G: 0.053332 Loss_D_real: -0.049757 Loss_D_fake -0.001134
[91/5000][395/535][9080] Loss_D: -0.049938 Loss_G: 0.010061 Loss_D_real: -0.021633 Loss_D_fake 0.028304
[91/5000][400/535][9081] Loss_D: -0.050028 Loss_G: 0.040188 Loss_D_real: -0.042080 Loss_D_fake 0.007948
[91/5000][405/535][9082] Loss_D: -0.048448 Loss_G: 0.044048 Loss_D_real: -0.041998 Loss_D_fake 0.006451
[91/5000][410/535][9083] Loss_D: -0.050333 Loss_G: 0.012180 Loss_D_real: -0.013613 Loss_D_fake 0.036720
[91/5000][415/535][9084] Loss_D: -0.049232 Loss_G: 0.043996 Loss_D_real: -0.039650 Loss_D_fake 0.009582
[91/5000][420/535][9085] Loss_D: -0.052371 Loss_G: 0.013731 Loss_D_real: -0.025071 Loss_D_fake 0.027300
[91/5000][425/535][9086] Loss_D: -0.050130 Loss_G: 0.025089 Loss_D_real: -0.034472 Loss_D_fake 0.015658
[91/5000][430/535][9087] Loss_D: -0.051475 Loss_G: 0.030958 Loss_D_real: -0.032793 Loss_D_fake 0.018682
[91/5000][435/535][9088] Loss_D: -0.050189 Loss_G: 0.001581 Loss_D_real: -0.016132 Loss_D_fake 0.034057
[91/5000][440/535][9089] Loss_D: -0.043895 Loss_G: 0.053863 Loss_D_real: -0.059655 Loss_D_fake -0.015761
[91/5000][445/535][9090] Loss_D: -0.049305 Loss_G: 0.038866 Loss_D_real: -0.030404 Loss_D_fake 0.018901
[91/5000][450/535][9091] Loss_D: -0.049056 Loss_G: 0.019822 Loss_D_real: -0.024739 Loss_D_fake 0.024317
[91/5000][455/535][9092] Loss_D: -0.049518 Loss_G: 0.035280 Loss_D_real: -0.038792 Loss_D_fake 0.010726
[91/5000][460/535][9093] Loss_D: -0.049279 Loss_G: 0.012629 Loss_D_real: -0.012811 Loss_D_fake 0.036468
[91/5000][465/535][9094] Loss_D: -0.047260 Loss_G: 0.048461 Loss_D_real: -0.048984 Loss_D_fake -0.001725
[91/5000][470/535][9095] Loss_D: -0.050902 Loss_G: 0.014202 Loss_D_real: -0.018185 Loss_D_fake 0.032717
[91/5000][475/535][9096] Loss_D: -0.050523 Loss_G: 0.029166 Loss_D_real: -0.036757 Loss_D_fake 0.013766
[91/5000][480/535][9097] Loss_D: -0.047928 Loss_G: 0.016134 Loss_D_real: -0.023248 Loss_D_fake 0.024680
[91/5000][485/535][9098] Loss_D: -0.047768 Loss_G: 0.046864 Loss_D_real: -0.039484 Loss_D_fake 0.008285
[91/5000][490/535][9099] Loss_D: -0.048854 Loss_G: 0.004958 Loss_D_real: -0.014083 Loss_D_fake 0.034770
[91/5000][495/535][9100] Loss_D: -0.049531 Loss_G: 0.037823 Loss_D_real: -0.037939 Loss_D_fake 0.011593
[91/5000][500/535][9101] Loss_D: -0.052772 Loss_G: 0.024064 Loss_D_real: -0.027229 Loss_D_fake 0.025543
[91/5000][505/535][9102] Loss_D: -0.051945 Loss_G: 0.038855 Loss_D_real: -0.040031 Loss_D_fake 0.011914
[91/5000][510/535][9103] Loss_D: -0.050946 Loss_G: 0.005645 Loss_D_real: -0.014509 Loss_D_fake 0.036437
[91/5000][515/535][9104] Loss_D: -0.048222 Loss_G: 0.042337 Loss_D_real: -0.040836 Loss_D_fake 0.007386
[91/5000][520/535][9105] Loss_D: -0.049474 Loss_G: -0.003404 Loss_D_real: -0.007589 Loss_D_fake 0.041885
[91/5000][525/535][9106] Loss_D: -0.044822 Loss_G: 0.042010 Loss_D_real: -0.044976 Loss_D_fake -0.000154
[91/5000][530/535][9107] Loss_D: -0.048413 Loss_G: 0.017001 Loss_D_real: -0.022592 Loss_D_fake 0.025821
[91/5000][535/535][9108] Loss_D: -0.047410 Loss_G: 0.038046 Loss_D_real: -0.043741 Loss_D_fake 0.003669
[92/5000][5/535][9109] Loss_D: -0.048351 Loss_G: 0.005412 Loss_D_real: -0.014666 Loss_D_fake 0.033685
[92/5000][10/535][9110] Loss_D: -0.052606 Loss_G: 0.033147 Loss_D_real: -0.035851 Loss_D_fake 0.016755
[92/5000][15/535][9111] Loss_D: -0.052840 Loss_G: 0.047019 Loss_D_real: -0.043227 Loss_D_fake 0.009613
[92/5000][20/535][9112] Loss_D: -0.050174 Loss_G: 0.031871 Loss_D_real: -0.034008 Loss_D_fake 0.016167
[92/5000][25/535][9113] Loss_D: -0.052235 Loss_G: 0.022626 Loss_D_real: -0.029060 Loss_D_fake 0.023175
[92/5000][30/535][9114] Loss_D: -0.051451 Loss_G: 0.015724 Loss_D_real: -0.025206 Loss_D_fake 0.026245
[92/5000][35/535][9115] Loss_D: -0.051194 Loss_G: 0.043242 Loss_D_real: -0.048559 Loss_D_fake 0.002635
[92/5000][40/535][9116] Loss_D: -0.053070 Loss_G: 0.020339 Loss_D_real: -0.026994 Loss_D_fake 0.026076
[92/5000][45/535][9117] Loss_D: -0.052453 Loss_G: 0.036665 Loss_D_real: -0.034072 Loss_D_fake 0.018381
[92/5000][50/535][9118] Loss_D: -0.050868 Loss_G: 0.005078 Loss_D_real: -0.015656 Loss_D_fake 0.035213
[92/5000][55/535][9119] Loss_D: -0.049710 Loss_G: 0.047812 Loss_D_real: -0.047789 Loss_D_fake 0.001921
[92/5000][60/535][9120] Loss_D: -0.049202 Loss_G: 0.017854 Loss_D_real: -0.022544 Loss_D_fake 0.026657
[92/5000][65/535][9121] Loss_D: -0.048175 Loss_G: 0.041429 Loss_D_real: -0.048455 Loss_D_fake -0.000280
[92/5000][70/535][9122] Loss_D: -0.050313 Loss_G: 0.019016 Loss_D_real: -0.024356 Loss_D_fake 0.025957
[92/5000][75/535][9123] Loss_D: -0.050862 Loss_G: 0.029705 Loss_D_real: -0.032792 Loss_D_fake 0.018070
[92/5000][80/535][9124] Loss_D: -0.049961 Loss_G: 0.036962 Loss_D_real: -0.037388 Loss_D_fake 0.012574
[92/5000][85/535][9125] Loss_D: -0.050938 Loss_G: 0.036739 Loss_D_real: -0.037425 Loss_D_fake 0.013513
[92/5000][90/535][9126] Loss_D: -0.051079 Loss_G: 0.029243 Loss_D_real: -0.032537 Loss_D_fake 0.018542
[92/5000][95/535][9127] Loss_D: -0.051350 Loss_G: 0.028188 Loss_D_real: -0.029090 Loss_D_fake 0.022260
[92/5000][100/535][9128] Loss_D: -0.049722 Loss_G: 0.045701 Loss_D_real: -0.040730 Loss_D_fake 0.008993
[92/5000][105/535][9129] Loss_D: -0.050506 Loss_G: 0.014458 Loss_D_real: -0.022454 Loss_D_fake 0.028052
[92/5000][110/535][9130] Loss_D: -0.048995 Loss_G: 0.058459 Loss_D_real: -0.059994 Loss_D_fake -0.010999
[92/5000][115/535][9131] Loss_D: -0.047686 Loss_G: 0.002991 Loss_D_real: -0.009593 Loss_D_fake 0.038093
[92/5000][120/535][9132] Loss_D: -0.046883 Loss_G: 0.038110 Loss_D_real: -0.040120 Loss_D_fake 0.006763
[92/5000][125/535][9133] Loss_D: -0.048459 Loss_G: 0.018212 Loss_D_real: -0.025120 Loss_D_fake 0.023339
[92/5000][130/535][9134] Loss_D: -0.051980 Loss_G: 0.021719 Loss_D_real: -0.029509 Loss_D_fake 0.022471
[92/5000][135/535][9135] Loss_D: -0.051638 Loss_G: 0.038418 Loss_D_real: -0.034542 Loss_D_fake 0.017095
[92/5000][140/535][9136] Loss_D: -0.053673 Loss_G: 0.011139 Loss_D_real: -0.024479 Loss_D_fake 0.029194
[92/5000][145/535][9137] Loss_D: -0.049900 Loss_G: 0.054264 Loss_D_real: -0.049624 Loss_D_fake 0.000276
[92/5000][150/535][9138] Loss_D: -0.049016 Loss_G: 0.004434 Loss_D_real: -0.008356 Loss_D_fake 0.040660
[92/5000][155/535][9139] Loss_D: -0.046793 Loss_G: 0.044094 Loss_D_real: -0.048219 Loss_D_fake -0.001426
[92/5000][160/535][9140] Loss_D: -0.050581 Loss_G: -0.011962 Loss_D_real: -0.008953 Loss_D_fake 0.041629
[92/5000][165/535][9141] Loss_D: -0.048139 Loss_G: 0.031558 Loss_D_real: -0.035813 Loss_D_fake 0.012326
[92/5000][170/535][9142] Loss_D: -0.051250 Loss_G: 0.022894 Loss_D_real: -0.033543 Loss_D_fake 0.017707
[92/5000][175/535][9143] Loss_D: -0.051659 Loss_G: 0.034044 Loss_D_real: -0.034284 Loss_D_fake 0.017375
[92/5000][180/535][9144] Loss_D: -0.051261 Loss_G: 0.008916 Loss_D_real: -0.022677 Loss_D_fake 0.028584
[92/5000][185/535][9145] Loss_D: -0.047962 Loss_G: 0.048467 Loss_D_real: -0.044419 Loss_D_fake 0.003543
[92/5000][190/535][9146] Loss_D: -0.050517 Loss_G: 0.032507 Loss_D_real: -0.028740 Loss_D_fake 0.021777
[92/5000][195/535][9147] Loss_D: -0.052217 Loss_G: 0.003239 Loss_D_real: -0.018598 Loss_D_fake 0.033619
[92/5000][200/535][9148] Loss_D: -0.047771 Loss_G: 0.049647 Loss_D_real: -0.049496 Loss_D_fake -0.001725
[92/5000][205/535][9149] Loss_D: -0.047794 Loss_G: -0.009059 Loss_D_real: -0.006803 Loss_D_fake 0.040991
[92/5000][210/535][9150] Loss_D: -0.048169 Loss_G: 0.038560 Loss_D_real: -0.038200 Loss_D_fake 0.009968
[92/5000][215/535][9151] Loss_D: -0.049593 Loss_G: 0.029786 Loss_D_real: -0.028992 Loss_D_fake 0.020601
[92/5000][220/535][9152] Loss_D: -0.052562 Loss_G: 0.018574 Loss_D_real: -0.025783 Loss_D_fake 0.026779
[92/5000][225/535][9153] Loss_D: -0.050289 Loss_G: 0.017299 Loss_D_real: -0.023087 Loss_D_fake 0.027202
[92/5000][230/535][9154] Loss_D: -0.048147 Loss_G: 0.042909 Loss_D_real: -0.044110 Loss_D_fake 0.004037
[92/5000][235/535][9155] Loss_D: -0.047249 Loss_G: -0.004541 Loss_D_real: -0.005935 Loss_D_fake 0.041315
[92/5000][240/535][9156] Loss_D: -0.044493 Loss_G: 0.043496 Loss_D_real: -0.050026 Loss_D_fake -0.005533
[92/5000][245/535][9157] Loss_D: -0.047366 Loss_G: 0.009322 Loss_D_real: -0.017427 Loss_D_fake 0.029939
[92/5000][250/535][9158] Loss_D: -0.048312 Loss_G: 0.030486 Loss_D_real: -0.031525 Loss_D_fake 0.016787
[92/5000][255/535][9159] Loss_D: -0.049428 Loss_G: 0.020104 Loss_D_real: -0.026710 Loss_D_fake 0.022718
[92/5000][260/535][9160] Loss_D: -0.051866 Loss_G: 0.028291 Loss_D_real: -0.033090 Loss_D_fake 0.018777
[92/5000][265/535][9161] Loss_D: -0.051054 Loss_G: 0.044979 Loss_D_real: -0.041963 Loss_D_fake 0.009091
[92/5000][270/535][9162] Loss_D: -0.048453 Loss_G: 0.008214 Loss_D_real: -0.018875 Loss_D_fake 0.029578
[92/5000][275/535][9163] Loss_D: -0.048065 Loss_G: 0.057973 Loss_D_real: -0.049949 Loss_D_fake -0.001884
[92/5000][280/535][9164] Loss_D: -0.047696 Loss_G: -0.009667 Loss_D_real: -0.006247 Loss_D_fake 0.041448
[92/5000][285/535][9165] Loss_D: -0.044880 Loss_G: 0.039853 Loss_D_real: -0.044204 Loss_D_fake 0.000676
[92/5000][290/535][9166] Loss_D: -0.050144 Loss_G: 0.017549 Loss_D_real: -0.023509 Loss_D_fake 0.026634
[92/5000][295/535][9167] Loss_D: -0.049040 Loss_G: 0.036329 Loss_D_real: -0.036767 Loss_D_fake 0.012273
[92/5000][300/535][9168] Loss_D: -0.049174 Loss_G: 0.006440 Loss_D_real: -0.018902 Loss_D_fake 0.030272
[92/5000][305/535][9169] Loss_D: -0.046971 Loss_G: 0.034946 Loss_D_real: -0.040081 Loss_D_fake 0.006890
[92/5000][310/535][9170] Loss_D: -0.051291 Loss_G: 0.047480 Loss_D_real: -0.042928 Loss_D_fake 0.008363
[92/5000][315/535][9171] Loss_D: -0.047691 Loss_G: 0.017824 Loss_D_real: -0.019079 Loss_D_fake 0.028612
[92/5000][320/535][9172] Loss_D: -0.051162 Loss_G: 0.037510 Loss_D_real: -0.040969 Loss_D_fake 0.010193
[92/5000][325/535][9173] Loss_D: -0.052037 Loss_G: 0.032124 Loss_D_real: -0.028722 Loss_D_fake 0.023315
[92/5000][330/535][9174] Loss_D: -0.048262 Loss_G: 0.048749 Loss_D_real: -0.046938 Loss_D_fake 0.001324
[92/5000][335/535][9175] Loss_D: -0.050215 Loss_G: -0.002770 Loss_D_real: -0.011207 Loss_D_fake 0.039008
[92/5000][340/535][9176] Loss_D: -0.046125 Loss_G: 0.044591 Loss_D_real: -0.045181 Loss_D_fake 0.000944
[92/5000][345/535][9177] Loss_D: -0.047703 Loss_G: 0.031076 Loss_D_real: -0.029550 Loss_D_fake 0.018153
[92/5000][350/535][9178] Loss_D: -0.049694 Loss_G: 0.027267 Loss_D_real: -0.030207 Loss_D_fake 0.019487
[92/5000][355/535][9179] Loss_D: -0.051338 Loss_G: 0.039397 Loss_D_real: -0.036389 Loss_D_fake 0.014950
[92/5000][360/535][9180] Loss_D: -0.051441 Loss_G: 0.016807 Loss_D_real: -0.025609 Loss_D_fake 0.025832
[92/5000][365/535][9181] Loss_D: -0.046383 Loss_G: 0.053182 Loss_D_real: -0.052923 Loss_D_fake -0.006540
[92/5000][370/535][9182] Loss_D: -0.051369 Loss_G: 0.008204 Loss_D_real: -0.017507 Loss_D_fake 0.033862
[92/5000][375/535][9183] Loss_D: -0.048500 Loss_G: 0.023366 Loss_D_real: -0.027392 Loss_D_fake 0.021108
[92/5000][380/535][9184] Loss_D: -0.048402 Loss_G: 0.053295 Loss_D_real: -0.053859 Loss_D_fake -0.005457
[92/5000][385/535][9185] Loss_D: -0.047215 Loss_G: 0.006776 Loss_D_real: -0.013694 Loss_D_fake 0.033521
[92/5000][390/535][9186] Loss_D: -0.047729 Loss_G: 0.028610 Loss_D_real: -0.034226 Loss_D_fake 0.013503
[92/5000][395/535][9187] Loss_D: -0.048388 Loss_G: -0.005442 Loss_D_real: -0.006736 Loss_D_fake 0.041652
[92/5000][400/535][9188] Loss_D: -0.047907 Loss_G: 0.030660 Loss_D_real: -0.037540 Loss_D_fake 0.010367
[92/5000][405/535][9189] Loss_D: -0.048130 Loss_G: 0.050835 Loss_D_real: -0.048591 Loss_D_fake -0.000461
[92/5000][410/535][9190] Loss_D: -0.050400 Loss_G: 0.014451 Loss_D_real: -0.017709 Loss_D_fake 0.032691
[92/5000][415/535][9191] Loss_D: -0.049341 Loss_G: 0.040612 Loss_D_real: -0.035176 Loss_D_fake 0.014166
[92/5000][420/535][9192] Loss_D: -0.051828 Loss_G: 0.025257 Loss_D_real: -0.029269 Loss_D_fake 0.022559
[92/5000][425/535][9193] Loss_D: -0.049889 Loss_G: 0.033342 Loss_D_real: -0.029665 Loss_D_fake 0.020224
[92/5000][430/535][9194] Loss_D: -0.049560 Loss_G: 0.008399 Loss_D_real: -0.020574 Loss_D_fake 0.028986
[92/5000][435/535][9195] Loss_D: -0.048223 Loss_G: 0.038358 Loss_D_real: -0.048982 Loss_D_fake -0.000758
[92/5000][440/535][9196] Loss_D: -0.051286 Loss_G: 0.008152 Loss_D_real: -0.017742 Loss_D_fake 0.033543
[92/5000][445/535][9197] Loss_D: -0.048827 Loss_G: 0.051123 Loss_D_real: -0.044071 Loss_D_fake 0.004756
[92/5000][450/535][9198] Loss_D: -0.049445 Loss_G: 0.001333 Loss_D_real: -0.012482 Loss_D_fake 0.036963
[92/5000][455/535][9199] Loss_D: -0.049777 Loss_G: 0.032599 Loss_D_real: -0.032339 Loss_D_fake 0.017437
[92/5000][460/535][9200] Loss_D: -0.048798 Loss_G: 0.010505 Loss_D_real: -0.016134 Loss_D_fake 0.032664
[92/5000][465/535][9201] Loss_D: -0.051352 Loss_G: 0.033036 Loss_D_real: -0.037346 Loss_D_fake 0.014006
[92/5000][470/535][9202] Loss_D: -0.049124 Loss_G: 0.028168 Loss_D_real: -0.030891 Loss_D_fake 0.018233
[92/5000][475/535][9203] Loss_D: -0.049481 Loss_G: 0.036716 Loss_D_real: -0.040332 Loss_D_fake 0.009150
[92/5000][480/535][9204] Loss_D: -0.046780 Loss_G: 0.002908 Loss_D_real: -0.006189 Loss_D_fake 0.040591
[92/5000][485/535][9205] Loss_D: -0.048562 Loss_G: 0.044393 Loss_D_real: -0.038790 Loss_D_fake 0.009771
[92/5000][490/535][9206] Loss_D: -0.048788 Loss_G: 0.004220 Loss_D_real: -0.008884 Loss_D_fake 0.039903
[92/5000][495/535][9207] Loss_D: -0.048432 Loss_G: 0.034961 Loss_D_real: -0.033799 Loss_D_fake 0.014632
[92/5000][500/535][9208] Loss_D: -0.047806 Loss_G: 0.011730 Loss_D_real: -0.014505 Loss_D_fake 0.033301
[92/5000][505/535][9209] Loss_D: -0.046985 Loss_G: 0.034473 Loss_D_real: -0.038741 Loss_D_fake 0.008244
[92/5000][510/535][9210] Loss_D: -0.049828 Loss_G: 0.015729 Loss_D_real: -0.019682 Loss_D_fake 0.030146
[92/5000][515/535][9211] Loss_D: -0.047696 Loss_G: 0.040921 Loss_D_real: -0.037829 Loss_D_fake 0.009868
[92/5000][520/535][9212] Loss_D: -0.047175 Loss_G: -0.007807 Loss_D_real: -0.000971 Loss_D_fake 0.046204
[92/5000][525/535][9213] Loss_D: -0.045274 Loss_G: 0.032595 Loss_D_real: -0.034922 Loss_D_fake 0.010352
[92/5000][530/535][9214] Loss_D: -0.050148 Loss_G: 0.017199 Loss_D_real: -0.024217 Loss_D_fake 0.025931
[92/5000][535/535][9215] Loss_D: -0.048533 Loss_G: 0.034724 Loss_D_real: -0.029009 Loss_D_fake 0.019524
[93/5000][5/535][9216] Loss_D: -0.046941 Loss_G: -0.002022 Loss_D_real: -0.013862 Loss_D_fake 0.033079
[93/5000][10/535][9217] Loss_D: -0.047707 Loss_G: 0.028524 Loss_D_real: -0.037642 Loss_D_fake 0.010065
[93/5000][15/535][9218] Loss_D: -0.048562 Loss_G: 0.017202 Loss_D_real: -0.023630 Loss_D_fake 0.024932
[93/5000][20/535][9219] Loss_D: -0.046084 Loss_G: 0.048611 Loss_D_real: -0.049499 Loss_D_fake -0.003414
[93/5000][25/535][9220] Loss_D: -0.050140 Loss_G: 0.004806 Loss_D_real: -0.017533 Loss_D_fake 0.032607
[93/5000][30/535][9221] Loss_D: -0.047931 Loss_G: 0.046441 Loss_D_real: -0.042466 Loss_D_fake 0.005465
[93/5000][35/535][9222] Loss_D: -0.048739 Loss_G: 0.014695 Loss_D_real: -0.020514 Loss_D_fake 0.028225
[93/5000][40/535][9223] Loss_D: -0.050348 Loss_G: 0.037893 Loss_D_real: -0.038697 Loss_D_fake 0.011651
[93/5000][45/535][9224] Loss_D: -0.050127 Loss_G: 0.039054 Loss_D_real: -0.034069 Loss_D_fake 0.016058
[93/5000][50/535][9225] Loss_D: -0.050854 Loss_G: 0.031295 Loss_D_real: -0.034207 Loss_D_fake 0.016646
[93/5000][55/535][9226] Loss_D: -0.050320 Loss_G: 0.048564 Loss_D_real: -0.046685 Loss_D_fake 0.003635
[93/5000][60/535][9227] Loss_D: -0.050306 Loss_G: 0.003872 Loss_D_real: -0.012752 Loss_D_fake 0.037554
[93/5000][65/535][9228] Loss_D: -0.048935 Loss_G: 0.048301 Loss_D_real: -0.042945 Loss_D_fake 0.005990
[93/5000][70/535][9229] Loss_D: -0.050253 Loss_G: 0.043517 Loss_D_real: -0.043821 Loss_D_fake 0.006432
[93/5000][75/535][9230] Loss_D: -0.053195 Loss_G: 0.006985 Loss_D_real: -0.015626 Loss_D_fake 0.037569
[93/5000][80/535][9231] Loss_D: -0.048077 Loss_G: 0.054884 Loss_D_real: -0.056292 Loss_D_fake -0.008215
[93/5000][85/535][9232] Loss_D: -0.047485 Loss_G: 0.006518 Loss_D_real: -0.013802 Loss_D_fake 0.033683
[93/5000][90/535][9233] Loss_D: -0.049432 Loss_G: 0.033578 Loss_D_real: -0.034623 Loss_D_fake 0.014809
[93/5000][95/535][9234] Loss_D: -0.051859 Loss_G: 0.042926 Loss_D_real: -0.035173 Loss_D_fake 0.016686
[93/5000][100/535][9235] Loss_D: -0.051040 Loss_G: 0.002526 Loss_D_real: -0.014643 Loss_D_fake 0.036397
[93/5000][105/535][9236] Loss_D: -0.049072 Loss_G: 0.052139 Loss_D_real: -0.045562 Loss_D_fake 0.003510
[93/5000][110/535][9237] Loss_D: -0.049791 Loss_G: 0.010234 Loss_D_real: -0.018528 Loss_D_fake 0.031264
[93/5000][115/535][9238] Loss_D: -0.047730 Loss_G: 0.054735 Loss_D_real: -0.051079 Loss_D_fake -0.003348
[93/5000][120/535][9239] Loss_D: -0.049709 Loss_G: 0.004495 Loss_D_real: -0.013937 Loss_D_fake 0.035772
[93/5000][125/535][9240] Loss_D: -0.050031 Loss_G: 0.044300 Loss_D_real: -0.043729 Loss_D_fake 0.006302
[93/5000][130/535][9241] Loss_D: -0.049470 Loss_G: 0.039350 Loss_D_real: -0.035651 Loss_D_fake 0.013819
[93/5000][135/535][9242] Loss_D: -0.051703 Loss_G: 0.025501 Loss_D_real: -0.027685 Loss_D_fake 0.024018
[93/5000][140/535][9243] Loss_D: -0.053493 Loss_G: 0.025906 Loss_D_real: -0.028497 Loss_D_fake 0.024996
[93/5000][145/535][9244] Loss_D: -0.051565 Loss_G: 0.043956 Loss_D_real: -0.043514 Loss_D_fake 0.008050
[93/5000][150/535][9245] Loss_D: -0.052312 Loss_G: 0.030300 Loss_D_real: -0.031660 Loss_D_fake 0.020653
[93/5000][155/535][9246] Loss_D: -0.051808 Loss_G: 0.018001 Loss_D_real: -0.025052 Loss_D_fake 0.026757
[93/5000][160/535][9247] Loss_D: -0.049517 Loss_G: 0.060765 Loss_D_real: -0.054275 Loss_D_fake -0.004757
[93/5000][165/535][9248] Loss_D: -0.049663 Loss_G: -0.000740 Loss_D_real: -0.008043 Loss_D_fake 0.041620
[93/5000][170/535][9249] Loss_D: -0.045734 Loss_G: 0.042804 Loss_D_real: -0.043688 Loss_D_fake 0.002046
[93/5000][175/535][9250] Loss_D: -0.049902 Loss_G: 0.005525 Loss_D_real: -0.015167 Loss_D_fake 0.034735
[93/5000][180/535][9251] Loss_D: -0.048895 Loss_G: 0.037766 Loss_D_real: -0.041473 Loss_D_fake 0.007422
[93/5000][185/535][9252] Loss_D: -0.050613 Loss_G: 0.015591 Loss_D_real: -0.020267 Loss_D_fake 0.030346
[93/5000][190/535][9253] Loss_D: -0.049524 Loss_G: 0.022665 Loss_D_real: -0.028093 Loss_D_fake 0.021431
[93/5000][195/535][9254] Loss_D: -0.048305 Loss_G: 0.054834 Loss_D_real: -0.045721 Loss_D_fake 0.002584
[93/5000][200/535][9255] Loss_D: -0.048283 Loss_G: 0.002985 Loss_D_real: -0.015553 Loss_D_fake 0.032730
[93/5000][205/535][9256] Loss_D: -0.047551 Loss_G: 0.031710 Loss_D_real: -0.031877 Loss_D_fake 0.015674
[93/5000][210/535][9257] Loss_D: -0.049835 Loss_G: 0.019034 Loss_D_real: -0.026234 Loss_D_fake 0.023602
[93/5000][215/535][9258] Loss_D: -0.049408 Loss_G: 0.022232 Loss_D_real: -0.030079 Loss_D_fake 0.019329
[93/5000][220/535][9259] Loss_D: -0.051452 Loss_G: 0.041253 Loss_D_real: -0.043896 Loss_D_fake 0.007556
[93/5000][225/535][9260] Loss_D: -0.049451 Loss_G: 0.006143 Loss_D_real: -0.017284 Loss_D_fake 0.032167
[93/5000][230/535][9261] Loss_D: -0.049704 Loss_G: 0.037316 Loss_D_real: -0.037092 Loss_D_fake 0.012612
[93/5000][235/535][9262] Loss_D: -0.048838 Loss_G: 0.029224 Loss_D_real: -0.031075 Loss_D_fake 0.017763
[93/5000][240/535][9263] Loss_D: -0.051776 Loss_G: 0.029454 Loss_D_real: -0.036380 Loss_D_fake 0.015396
[93/5000][245/535][9264] Loss_D: -0.050059 Loss_G: 0.007737 Loss_D_real: -0.025548 Loss_D_fake 0.024511
[93/5000][250/535][9265] Loss_D: -0.049301 Loss_G: 0.043840 Loss_D_real: -0.041302 Loss_D_fake 0.007999
[93/5000][255/535][9266] Loss_D: -0.048578 Loss_G: 0.039065 Loss_D_real: -0.040917 Loss_D_fake 0.007661
[93/5000][260/535][9267] Loss_D: -0.052367 Loss_G: 0.025031 Loss_D_real: -0.033770 Loss_D_fake 0.018597
[93/5000][265/535][9268] Loss_D: -0.051668 Loss_G: 0.044136 Loss_D_real: -0.039826 Loss_D_fake 0.011842
[93/5000][270/535][9269] Loss_D: -0.048571 Loss_G: 0.049807 Loss_D_real: -0.048185 Loss_D_fake 0.000386
[93/5000][275/535][9270] Loss_D: -0.045168 Loss_G: -0.005963 Loss_D_real: -0.003373 Loss_D_fake 0.041795
[93/5000][280/535][9271] Loss_D: -0.047078 Loss_G: 0.031305 Loss_D_real: -0.033720 Loss_D_fake 0.013358
[93/5000][285/535][9272] Loss_D: -0.047865 Loss_G: 0.012284 Loss_D_real: -0.018250 Loss_D_fake 0.029615
[93/5000][290/535][9273] Loss_D: -0.048560 Loss_G: 0.031796 Loss_D_real: -0.038053 Loss_D_fake 0.010506
[93/5000][295/535][9274] Loss_D: -0.052343 Loss_G: 0.017038 Loss_D_real: -0.025371 Loss_D_fake 0.026972
[93/5000][300/535][9275] Loss_D: -0.049709 Loss_G: 0.024074 Loss_D_real: -0.026470 Loss_D_fake 0.023239
[93/5000][305/535][9276] Loss_D: -0.050977 Loss_G: 0.017388 Loss_D_real: -0.019893 Loss_D_fake 0.031085
[93/5000][310/535][9277] Loss_D: -0.050886 Loss_G: 0.027287 Loss_D_real: -0.032548 Loss_D_fake 0.018338
[93/5000][315/535][9278] Loss_D: -0.049408 Loss_G: 0.019148 Loss_D_real: -0.023707 Loss_D_fake 0.025701
[93/5000][320/535][9279] Loss_D: -0.048076 Loss_G: 0.054623 Loss_D_real: -0.049592 Loss_D_fake -0.001517
[93/5000][325/535][9280] Loss_D: -0.049161 Loss_G: 0.014243 Loss_D_real: -0.023496 Loss_D_fake 0.025665
[93/5000][330/535][9281] Loss_D: -0.048375 Loss_G: 0.031783 Loss_D_real: -0.034986 Loss_D_fake 0.013389
[93/5000][335/535][9282] Loss_D: -0.048551 Loss_G: -0.005957 Loss_D_real: -0.008369 Loss_D_fake 0.040183
[93/5000][340/535][9283] Loss_D: -0.048955 Loss_G: 0.037405 Loss_D_real: -0.042830 Loss_D_fake 0.006126
[93/5000][345/535][9284] Loss_D: -0.048108 Loss_G: 0.014265 Loss_D_real: -0.016460 Loss_D_fake 0.031648
[93/5000][350/535][9285] Loss_D: -0.051669 Loss_G: 0.023173 Loss_D_real: -0.026759 Loss_D_fake 0.024909
[93/5000][355/535][9286] Loss_D: -0.049194 Loss_G: 0.053586 Loss_D_real: -0.049114 Loss_D_fake 0.000080
[93/5000][360/535][9287] Loss_D: -0.049495 Loss_G: -0.015917 Loss_D_real: -0.003211 Loss_D_fake 0.046284
[93/5000][365/535][9288] Loss_D: -0.046035 Loss_G: 0.044117 Loss_D_real: -0.044457 Loss_D_fake 0.001578
[93/5000][370/535][9289] Loss_D: -0.050357 Loss_G: 0.019018 Loss_D_real: -0.024570 Loss_D_fake 0.025788
[93/5000][375/535][9290] Loss_D: -0.050562 Loss_G: 0.051446 Loss_D_real: -0.038298 Loss_D_fake 0.012263
[93/5000][380/535][9291] Loss_D: -0.049764 Loss_G: 0.002943 Loss_D_real: -0.015189 Loss_D_fake 0.034576
[93/5000][385/535][9292] Loss_D: -0.047642 Loss_G: 0.047132 Loss_D_real: -0.050405 Loss_D_fake -0.002763
[93/5000][390/535][9293] Loss_D: -0.050818 Loss_G: 0.026646 Loss_D_real: -0.031320 Loss_D_fake 0.019498
[93/5000][395/535][9294] Loss_D: -0.050039 Loss_G: 0.056330 Loss_D_real: -0.050249 Loss_D_fake -0.000210
[93/5000][400/535][9295] Loss_D: -0.047110 Loss_G: 0.004577 Loss_D_real: -0.011158 Loss_D_fake 0.035952
[93/5000][405/535][9296] Loss_D: -0.048974 Loss_G: 0.035506 Loss_D_real: -0.034553 Loss_D_fake 0.014421
[93/5000][410/535][9297] Loss_D: -0.049437 Loss_G: 0.012156 Loss_D_real: -0.026445 Loss_D_fake 0.022992
[93/5000][415/535][9298] Loss_D: -0.050427 Loss_G: 0.045394 Loss_D_real: -0.042245 Loss_D_fake 0.008183
[93/5000][420/535][9299] Loss_D: -0.051112 Loss_G: 0.001378 Loss_D_real: -0.012855 Loss_D_fake 0.038257
[93/5000][425/535][9300] Loss_D: -0.050211 Loss_G: 0.028010 Loss_D_real: -0.034379 Loss_D_fake 0.015831
[93/5000][430/535][9301] Loss_D: -0.048781 Loss_G: 0.054054 Loss_D_real: -0.050019 Loss_D_fake -0.001238
[93/5000][435/535][9302] Loss_D: -0.047959 Loss_G: -0.008303 Loss_D_real: -0.005430 Loss_D_fake 0.042528
[93/5000][440/535][9303] Loss_D: -0.047639 Loss_G: 0.039643 Loss_D_real: -0.045183 Loss_D_fake 0.002456
[93/5000][445/535][9304] Loss_D: -0.050141 Loss_G: 0.003398 Loss_D_real: -0.019366 Loss_D_fake 0.030775
[93/5000][450/535][9305] Loss_D: -0.049494 Loss_G: 0.019897 Loss_D_real: -0.030635 Loss_D_fake 0.018859
[93/5000][455/535][9306] Loss_D: -0.049939 Loss_G: 0.015031 Loss_D_real: -0.019149 Loss_D_fake 0.030791
[93/5000][460/535][9307] Loss_D: -0.050305 Loss_G: 0.029989 Loss_D_real: -0.028881 Loss_D_fake 0.021424
[93/5000][465/535][9308] Loss_D: -0.049654 Loss_G: 0.009015 Loss_D_real: -0.017607 Loss_D_fake 0.032047
[93/5000][470/535][9309] Loss_D: -0.048869 Loss_G: 0.037679 Loss_D_real: -0.043479 Loss_D_fake 0.005391
[93/5000][475/535][9310] Loss_D: -0.049236 Loss_G: -0.000051 Loss_D_real: -0.008629 Loss_D_fake 0.040607
[93/5000][480/535][9311] Loss_D: -0.049341 Loss_G: 0.042919 Loss_D_real: -0.044822 Loss_D_fake 0.004518
[93/5000][485/535][9312] Loss_D: -0.051716 Loss_G: 0.009883 Loss_D_real: -0.021769 Loss_D_fake 0.029947
[93/5000][490/535][9313] Loss_D: -0.050049 Loss_G: 0.043654 Loss_D_real: -0.043445 Loss_D_fake 0.006604
[93/5000][495/535][9314] Loss_D: -0.049208 Loss_G: -0.002377 Loss_D_real: -0.010366 Loss_D_fake 0.038842
[93/5000][500/535][9315] Loss_D: -0.049974 Loss_G: 0.027736 Loss_D_real: -0.028100 Loss_D_fake 0.021874
[93/5000][505/535][9316] Loss_D: -0.048973 Loss_G: 0.052488 Loss_D_real: -0.051858 Loss_D_fake -0.002885
[93/5000][510/535][9317] Loss_D: -0.048689 Loss_G: 0.019491 Loss_D_real: -0.026899 Loss_D_fake 0.021790
[93/5000][515/535][9318] Loss_D: -0.050071 Loss_G: 0.019024 Loss_D_real: -0.024051 Loss_D_fake 0.026020
[93/5000][520/535][9319] Loss_D: -0.048726 Loss_G: 0.039127 Loss_D_real: -0.041124 Loss_D_fake 0.007602
[93/5000][525/535][9320] Loss_D: -0.046752 Loss_G: 0.047090 Loss_D_real: -0.046886 Loss_D_fake -0.000134
[93/5000][530/535][9321] Loss_D: -0.049848 Loss_G: 0.000945 Loss_D_real: -0.010649 Loss_D_fake 0.039199
[93/5000][535/535][9322] Loss_D: -0.049549 Loss_G: 0.039735 Loss_D_real: -0.049438 Loss_D_fake 0.000111
[94/5000][5/535][9323] Loss_D: -0.049444 Loss_G: 0.006571 Loss_D_real: -0.019464 Loss_D_fake 0.029980
[94/5000][10/535][9324] Loss_D: -0.046949 Loss_G: 0.035214 Loss_D_real: -0.038339 Loss_D_fake 0.008610
[94/5000][15/535][9325] Loss_D: -0.047404 Loss_G: -0.001396 Loss_D_real: -0.005087 Loss_D_fake 0.042318
[94/5000][20/535][9326] Loss_D: -0.049037 Loss_G: 0.019947 Loss_D_real: -0.024671 Loss_D_fake 0.024366
[94/5000][25/535][9327] Loss_D: -0.049628 Loss_G: 0.032654 Loss_D_real: -0.033777 Loss_D_fake 0.015851
[94/5000][30/535][9328] Loss_D: -0.050132 Loss_G: 0.050693 Loss_D_real: -0.044705 Loss_D_fake 0.005427
[94/5000][35/535][9329] Loss_D: -0.052560 Loss_G: 0.019803 Loss_D_real: -0.028085 Loss_D_fake 0.024475
[94/5000][40/535][9330] Loss_D: -0.050900 Loss_G: 0.033927 Loss_D_real: -0.032797 Loss_D_fake 0.018102
[94/5000][45/535][9331] Loss_D: -0.050700 Loss_G: 0.003695 Loss_D_real: -0.016419 Loss_D_fake 0.034281
[94/5000][50/535][9332] Loss_D: -0.049101 Loss_G: 0.041952 Loss_D_real: -0.038866 Loss_D_fake 0.010235
[94/5000][55/535][9333] Loss_D: -0.050193 Loss_G: 0.034259 Loss_D_real: -0.038844 Loss_D_fake 0.011349
[94/5000][60/535][9334] Loss_D: -0.051177 Loss_G: 0.022186 Loss_D_real: -0.027774 Loss_D_fake 0.023403
[94/5000][65/535][9335] Loss_D: -0.049296 Loss_G: 0.039313 Loss_D_real: -0.035898 Loss_D_fake 0.013398
[94/5000][70/535][9336] Loss_D: -0.049485 Loss_G: -0.000621 Loss_D_real: -0.014285 Loss_D_fake 0.035200
[94/5000][75/535][9337] Loss_D: -0.049272 Loss_G: 0.031387 Loss_D_real: -0.035136 Loss_D_fake 0.014136
[94/5000][80/535][9338] Loss_D: -0.051592 Loss_G: 0.043237 Loss_D_real: -0.035563 Loss_D_fake 0.016029
[94/5000][85/535][9339] Loss_D: -0.050055 Loss_G: 0.004276 Loss_D_real: -0.013867 Loss_D_fake 0.036188
[94/5000][90/535][9340] Loss_D: -0.048513 Loss_G: 0.042069 Loss_D_real: -0.047570 Loss_D_fake 0.000944
[94/5000][95/535][9341] Loss_D: -0.048495 Loss_G: 0.032215 Loss_D_real: -0.029483 Loss_D_fake 0.019013
[94/5000][100/535][9342] Loss_D: -0.051071 Loss_G: 0.021850 Loss_D_real: -0.025954 Loss_D_fake 0.025117
[94/5000][105/535][9343] Loss_D: -0.048121 Loss_G: 0.034504 Loss_D_real: -0.039826 Loss_D_fake 0.008295
[94/5000][110/535][9344] Loss_D: -0.050150 Loss_G: 0.039938 Loss_D_real: -0.042151 Loss_D_fake 0.008000
[94/5000][115/535][9345] Loss_D: -0.050280 Loss_G: 0.020604 Loss_D_real: -0.025308 Loss_D_fake 0.024973
[94/5000][120/535][9346] Loss_D: -0.050541 Loss_G: 0.031484 Loss_D_real: -0.035110 Loss_D_fake 0.015431
[94/5000][125/535][9347] Loss_D: -0.046245 Loss_G: -0.007289 Loss_D_real: -0.003243 Loss_D_fake 0.043002
[94/5000][130/535][9348] Loss_D: -0.047792 Loss_G: 0.038011 Loss_D_real: -0.036177 Loss_D_fake 0.011614
[94/5000][135/535][9349] Loss_D: -0.047881 Loss_G: 0.021892 Loss_D_real: -0.025372 Loss_D_fake 0.022509
[94/5000][140/535][9350] Loss_D: -0.049706 Loss_G: 0.035693 Loss_D_real: -0.043649 Loss_D_fake 0.006057
[94/5000][145/535][9351] Loss_D: -0.048630 Loss_G: 0.021545 Loss_D_real: -0.022731 Loss_D_fake 0.025899
[94/5000][150/535][9352] Loss_D: -0.050154 Loss_G: 0.044160 Loss_D_real: -0.049175 Loss_D_fake 0.000979
[94/5000][155/535][9353] Loss_D: -0.047387 Loss_G: 0.008440 Loss_D_real: -0.011852 Loss_D_fake 0.035535
[94/5000][160/535][9354] Loss_D: -0.046575 Loss_G: 0.053746 Loss_D_real: -0.053735 Loss_D_fake -0.007160
[94/5000][165/535][9355] Loss_D: -0.048069 Loss_G: 0.002108 Loss_D_real: -0.008650 Loss_D_fake 0.039419
[94/5000][170/535][9356] Loss_D: -0.047994 Loss_G: 0.047386 Loss_D_real: -0.048472 Loss_D_fake -0.000477
[94/5000][175/535][9357] Loss_D: -0.049352 Loss_G: 0.013612 Loss_D_real: -0.021716 Loss_D_fake 0.027636
[94/5000][180/535][9358] Loss_D: -0.049990 Loss_G: 0.035272 Loss_D_real: -0.036804 Loss_D_fake 0.013186
[94/5000][185/535][9359] Loss_D: -0.051760 Loss_G: 0.012755 Loss_D_real: -0.019393 Loss_D_fake 0.032368
[94/5000][190/535][9360] Loss_D: -0.048729 Loss_G: 0.039849 Loss_D_real: -0.038271 Loss_D_fake 0.010458
[94/5000][195/535][9361] Loss_D: -0.047698 Loss_G: 0.000879 Loss_D_real: -0.013534 Loss_D_fake 0.034164
[94/5000][200/535][9362] Loss_D: -0.046498 Loss_G: 0.035517 Loss_D_real: -0.035876 Loss_D_fake 0.010623
[94/5000][205/535][9363] Loss_D: -0.049603 Loss_G: 0.004396 Loss_D_real: -0.016093 Loss_D_fake 0.033510
[94/5000][210/535][9364] Loss_D: -0.049538 Loss_G: 0.038472 Loss_D_real: -0.038532 Loss_D_fake 0.011005
[94/5000][215/535][9365] Loss_D: -0.048847 Loss_G: 0.005629 Loss_D_real: -0.017399 Loss_D_fake 0.031449
[94/5000][220/535][9366] Loss_D: -0.050470 Loss_G: 0.031526 Loss_D_real: -0.033685 Loss_D_fake 0.016785
[94/5000][225/535][9367] Loss_D: -0.052679 Loss_G: 0.004383 Loss_D_real: -0.020526 Loss_D_fake 0.032153
[94/5000][230/535][9368] Loss_D: -0.050519 Loss_G: 0.046644 Loss_D_real: -0.045484 Loss_D_fake 0.005035
[94/5000][235/535][9369] Loss_D: -0.049986 Loss_G: 0.011300 Loss_D_real: -0.016437 Loss_D_fake 0.033549
[94/5000][240/535][9370] Loss_D: -0.047444 Loss_G: 0.047707 Loss_D_real: -0.049595 Loss_D_fake -0.002151
[94/5000][245/535][9371] Loss_D: -0.048627 Loss_G: 0.008581 Loss_D_real: -0.013799 Loss_D_fake 0.034827
[94/5000][250/535][9372] Loss_D: -0.048047 Loss_G: 0.035856 Loss_D_real: -0.035856 Loss_D_fake 0.012191
[94/5000][255/535][9373] Loss_D: -0.048080 Loss_G: 0.013628 Loss_D_real: -0.020609 Loss_D_fake 0.027471
[94/5000][260/535][9374] Loss_D: -0.047286 Loss_G: 0.028543 Loss_D_real: -0.029824 Loss_D_fake 0.017462
[94/5000][265/535][9375] Loss_D: -0.048633 Loss_G: 0.005861 Loss_D_real: -0.017399 Loss_D_fake 0.031234
[94/5000][270/535][9376] Loss_D: -0.048791 Loss_G: 0.041199 Loss_D_real: -0.039678 Loss_D_fake 0.009114
[94/5000][275/535][9377] Loss_D: -0.050090 Loss_G: 0.027876 Loss_D_real: -0.030669 Loss_D_fake 0.019421
[94/5000][280/535][9378] Loss_D: -0.050191 Loss_G: 0.051413 Loss_D_real: -0.041956 Loss_D_fake 0.008235
[94/5000][285/535][9379] Loss_D: -0.051530 Loss_G: 0.029813 Loss_D_real: -0.029971 Loss_D_fake 0.021559
[94/5000][290/535][9380] Loss_D: -0.052355 Loss_G: 0.022919 Loss_D_real: -0.027473 Loss_D_fake 0.024882
[94/5000][295/535][9381] Loss_D: -0.048538 Loss_G: 0.058877 Loss_D_real: -0.056341 Loss_D_fake -0.007803
[94/5000][300/535][9382] Loss_D: -0.048859 Loss_G: -0.002986 Loss_D_real: -0.008172 Loss_D_fake 0.040687
[94/5000][305/535][9383] Loss_D: -0.048277 Loss_G: 0.047126 Loss_D_real: -0.046354 Loss_D_fake 0.001923
[94/5000][310/535][9384] Loss_D: -0.050608 Loss_G: 0.040432 Loss_D_real: -0.036469 Loss_D_fake 0.014139
[94/5000][315/535][9385] Loss_D: -0.052366 Loss_G: 0.026862 Loss_D_real: -0.032226 Loss_D_fake 0.020140
[94/5000][320/535][9386] Loss_D: -0.051513 Loss_G: 0.018204 Loss_D_real: -0.019702 Loss_D_fake 0.031811
[94/5000][325/535][9387] Loss_D: -0.051455 Loss_G: 0.025850 Loss_D_real: -0.034360 Loss_D_fake 0.017095
[94/5000][330/535][9388] Loss_D: -0.049647 Loss_G: 0.052501 Loss_D_real: -0.045444 Loss_D_fake 0.004204
[94/5000][335/535][9389] Loss_D: -0.050842 Loss_G: 0.007454 Loss_D_real: -0.011877 Loss_D_fake 0.038964
[94/5000][340/535][9390] Loss_D: -0.050126 Loss_G: 0.047016 Loss_D_real: -0.044730 Loss_D_fake 0.005396
[94/5000][345/535][9391] Loss_D: -0.050513 Loss_G: 0.000399 Loss_D_real: -0.018698 Loss_D_fake 0.031816
[94/5000][350/535][9392] Loss_D: -0.047638 Loss_G: 0.026857 Loss_D_real: -0.029859 Loss_D_fake 0.017780
[94/5000][355/535][9393] Loss_D: -0.049060 Loss_G: 0.022831 Loss_D_real: -0.025798 Loss_D_fake 0.023262
[94/5000][360/535][9394] Loss_D: -0.051520 Loss_G: 0.017948 Loss_D_real: -0.023866 Loss_D_fake 0.027654
[94/5000][365/535][9395] Loss_D: -0.048616 Loss_G: 0.053204 Loss_D_real: -0.057359 Loss_D_fake -0.008743
[94/5000][370/535][9396] Loss_D: -0.048220 Loss_G: 0.000342 Loss_D_real: -0.014319 Loss_D_fake 0.033901
[94/5000][375/535][9397] Loss_D: -0.046074 Loss_G: 0.045770 Loss_D_real: -0.048991 Loss_D_fake -0.002916
[94/5000][380/535][9398] Loss_D: -0.049244 Loss_G: -0.004194 Loss_D_real: -0.007739 Loss_D_fake 0.041505
[94/5000][385/535][9399] Loss_D: -0.048623 Loss_G: 0.026481 Loss_D_real: -0.032254 Loss_D_fake 0.016369
[94/5000][390/535][9400] Loss_D: -0.049079 Loss_G: 0.028314 Loss_D_real: -0.023911 Loss_D_fake 0.025168
[94/5000][395/535][9401] Loss_D: -0.048951 Loss_G: 0.030388 Loss_D_real: -0.038985 Loss_D_fake 0.009966
[94/5000][400/535][9402] Loss_D: -0.049505 Loss_G: 0.009177 Loss_D_real: -0.022030 Loss_D_fake 0.027475
[94/5000][405/535][9403] Loss_D: -0.049584 Loss_G: 0.051483 Loss_D_real: -0.049442 Loss_D_fake 0.000141
[94/5000][410/535][9404] Loss_D: -0.049017 Loss_G: -0.006592 Loss_D_real: -0.009299 Loss_D_fake 0.039718
[94/5000][415/535][9405] Loss_D: -0.048636 Loss_G: 0.040596 Loss_D_real: -0.048358 Loss_D_fake 0.000278
[94/5000][420/535][9406] Loss_D: -0.050543 Loss_G: 0.023261 Loss_D_real: -0.030147 Loss_D_fake 0.020396
[94/5000][425/535][9407] Loss_D: -0.048588 Loss_G: 0.043049 Loss_D_real: -0.040924 Loss_D_fake 0.007664
[94/5000][430/535][9408] Loss_D: -0.048383 Loss_G: -0.002297 Loss_D_real: -0.007725 Loss_D_fake 0.040658
[94/5000][435/535][9409] Loss_D: -0.046418 Loss_G: 0.033212 Loss_D_real: -0.040078 Loss_D_fake 0.006340
[94/5000][440/535][9410] Loss_D: -0.049980 Loss_G: 0.011542 Loss_D_real: -0.019594 Loss_D_fake 0.030386
[94/5000][445/535][9411] Loss_D: -0.046526 Loss_G: 0.045232 Loss_D_real: -0.040985 Loss_D_fake 0.005541
[94/5000][450/535][9412] Loss_D: -0.050842 Loss_G: 0.001041 Loss_D_real: -0.017447 Loss_D_fake 0.033395
[94/5000][455/535][9413] Loss_D: -0.049893 Loss_G: 0.040175 Loss_D_real: -0.041013 Loss_D_fake 0.008881
[94/5000][460/535][9414] Loss_D: -0.050486 Loss_G: 0.015199 Loss_D_real: -0.020211 Loss_D_fake 0.030276
[94/5000][465/535][9415] Loss_D: -0.049749 Loss_G: 0.029601 Loss_D_real: -0.039234 Loss_D_fake 0.010514
[94/5000][470/535][9416] Loss_D: -0.048473 Loss_G: 0.020827 Loss_D_real: -0.022807 Loss_D_fake 0.025666
[94/5000][475/535][9417] Loss_D: -0.047512 Loss_G: 0.037055 Loss_D_real: -0.043510 Loss_D_fake 0.004002
[94/5000][480/535][9418] Loss_D: -0.048184 Loss_G: 0.007212 Loss_D_real: -0.015311 Loss_D_fake 0.032873
[94/5000][485/535][9419] Loss_D: -0.048233 Loss_G: 0.033645 Loss_D_real: -0.031979 Loss_D_fake 0.016254
[94/5000][490/535][9420] Loss_D: -0.048226 Loss_G: 0.010659 Loss_D_real: -0.023726 Loss_D_fake 0.024500
[94/5000][495/535][9421] Loss_D: -0.047200 Loss_G: 0.017773 Loss_D_real: -0.029609 Loss_D_fake 0.017591
[94/5000][500/535][9422] Loss_D: -0.044014 Loss_G: 0.020922 Loss_D_real: -0.028182 Loss_D_fake 0.015831
[94/5000][505/535][9423] Loss_D: -0.049192 Loss_G: 0.025795 Loss_D_real: -0.032441 Loss_D_fake 0.016751
[94/5000][510/535][9424] Loss_D: -0.048385 Loss_G: 0.009957 Loss_D_real: -0.016224 Loss_D_fake 0.032161
[94/5000][515/535][9425] Loss_D: -0.047115 Loss_G: 0.036840 Loss_D_real: -0.041942 Loss_D_fake 0.005173
[94/5000][520/535][9426] Loss_D: -0.047945 Loss_G: 0.053901 Loss_D_real: -0.046793 Loss_D_fake 0.001152
[94/5000][525/535][9427] Loss_D: -0.049029 Loss_G: -0.016177 Loss_D_real: -0.004068 Loss_D_fake 0.044961
[94/5000][530/535][9428] Loss_D: -0.047037 Loss_G: 0.039084 Loss_D_real: -0.042591 Loss_D_fake 0.004447
[94/5000][535/535][9429] Loss_D: -0.045245 Loss_G: 0.061132 Loss_D_real: -0.050325 Loss_D_fake -0.005080
[95/5000][5/535][9430] Loss_D: -0.048813 Loss_G: 0.032026 Loss_D_real: -0.030625 Loss_D_fake 0.018188
[95/5000][10/535][9431] Loss_D: -0.048414 Loss_G: 0.037692 Loss_D_real: -0.035768 Loss_D_fake 0.012646
[95/5000][15/535][9432] Loss_D: -0.051245 Loss_G: 0.018640 Loss_D_real: -0.025172 Loss_D_fake 0.026073
[95/5000][20/535][9433] Loss_D: -0.050367 Loss_G: 0.039326 Loss_D_real: -0.042134 Loss_D_fake 0.008233
[95/5000][25/535][9434] Loss_D: -0.052147 Loss_G: 0.023102 Loss_D_real: -0.025720 Loss_D_fake 0.026427
[95/5000][30/535][9435] Loss_D: -0.052316 Loss_G: 0.035519 Loss_D_real: -0.032870 Loss_D_fake 0.019446
[95/5000][35/535][9436] Loss_D: -0.051144 Loss_G: 0.015891 Loss_D_real: -0.019390 Loss_D_fake 0.031754
[95/5000][40/535][9437] Loss_D: -0.049610 Loss_G: 0.043998 Loss_D_real: -0.046865 Loss_D_fake 0.002745
[95/5000][45/535][9438] Loss_D: -0.049588 Loss_G: 0.017155 Loss_D_real: -0.025845 Loss_D_fake 0.023744
[95/5000][50/535][9439] Loss_D: -0.049812 Loss_G: 0.029352 Loss_D_real: -0.034556 Loss_D_fake 0.015255
[95/5000][55/535][9440] Loss_D: -0.053369 Loss_G: 0.024391 Loss_D_real: -0.031208 Loss_D_fake 0.022161
[95/5000][60/535][9441] Loss_D: -0.051969 Loss_G: 0.008101 Loss_D_real: -0.021910 Loss_D_fake 0.030059
[95/5000][65/535][9442] Loss_D: -0.045886 Loss_G: 0.058549 Loss_D_real: -0.057932 Loss_D_fake -0.012047
[95/5000][70/535][9443] Loss_D: -0.047177 Loss_G: -0.001504 Loss_D_real: -0.009374 Loss_D_fake 0.037803
[95/5000][75/535][9444] Loss_D: -0.047301 Loss_G: 0.042908 Loss_D_real: -0.038826 Loss_D_fake 0.008474
[95/5000][80/535][9445] Loss_D: -0.051627 Loss_G: 0.011718 Loss_D_real: -0.023294 Loss_D_fake 0.028333
[95/5000][85/535][9446] Loss_D: -0.046428 Loss_G: 0.049240 Loss_D_real: -0.044462 Loss_D_fake 0.001966
[95/5000][90/535][9447] Loss_D: -0.049948 Loss_G: 0.004571 Loss_D_real: -0.019721 Loss_D_fake 0.030227
[95/5000][95/535][9448] Loss_D: -0.048781 Loss_G: 0.027705 Loss_D_real: -0.033484 Loss_D_fake 0.015297
[95/5000][100/535][9449] Loss_D: -0.048332 Loss_G: 0.015513 Loss_D_real: -0.021417 Loss_D_fake 0.026915
[95/5000][105/535][9450] Loss_D: -0.047064 Loss_G: 0.049019 Loss_D_real: -0.051479 Loss_D_fake -0.004415
[95/5000][110/535][9451] Loss_D: -0.050216 Loss_G: 0.013467 Loss_D_real: -0.024077 Loss_D_fake 0.026139
[95/5000][115/535][9452] Loss_D: -0.047011 Loss_G: 0.046972 Loss_D_real: -0.042495 Loss_D_fake 0.004516
[95/5000][120/535][9453] Loss_D: -0.049134 Loss_G: 0.006564 Loss_D_real: -0.009044 Loss_D_fake 0.040089
[95/5000][125/535][9454] Loss_D: -0.048624 Loss_G: 0.042125 Loss_D_real: -0.047792 Loss_D_fake 0.000832
[95/5000][130/535][9455] Loss_D: -0.048262 Loss_G: 0.045590 Loss_D_real: -0.038500 Loss_D_fake 0.009763
[95/5000][135/535][9456] Loss_D: -0.050611 Loss_G: 0.034810 Loss_D_real: -0.030512 Loss_D_fake 0.020099
[95/5000][140/535][9457] Loss_D: -0.049755 Loss_G: 0.020544 Loss_D_real: -0.025479 Loss_D_fake 0.024276
[95/5000][145/535][9458] Loss_D: -0.050391 Loss_G: 0.015262 Loss_D_real: -0.021310 Loss_D_fake 0.029081
[95/5000][150/535][9459] Loss_D: -0.047158 Loss_G: 0.051809 Loss_D_real: -0.050159 Loss_D_fake -0.003001
[95/5000][155/535][9460] Loss_D: -0.048294 Loss_G: 0.004885 Loss_D_real: -0.010917 Loss_D_fake 0.037377
[95/5000][160/535][9461] Loss_D: -0.049275 Loss_G: 0.034811 Loss_D_real: -0.035149 Loss_D_fake 0.014126
[95/5000][165/535][9462] Loss_D: -0.051853 Loss_G: 0.021678 Loss_D_real: -0.028546 Loss_D_fake 0.023306
[95/5000][170/535][9463] Loss_D: -0.048799 Loss_G: 0.048186 Loss_D_real: -0.044639 Loss_D_fake 0.004160
[95/5000][175/535][9464] Loss_D: -0.049183 Loss_G: 0.023831 Loss_D_real: -0.019940 Loss_D_fake 0.029243
[95/5000][180/535][9465] Loss_D: -0.048559 Loss_G: 0.032231 Loss_D_real: -0.034975 Loss_D_fake 0.013583
[95/5000][185/535][9466] Loss_D: -0.051839 Loss_G: 0.018372 Loss_D_real: -0.027708 Loss_D_fake 0.024131
[95/5000][190/535][9467] Loss_D: -0.050284 Loss_G: 0.038277 Loss_D_real: -0.034862 Loss_D_fake 0.015423
[95/5000][195/535][9468] Loss_D: -0.049527 Loss_G: 0.032611 Loss_D_real: -0.028859 Loss_D_fake 0.020668
[95/5000][200/535][9469] Loss_D: -0.047684 Loss_G: -0.007549 Loss_D_real: -0.008072 Loss_D_fake 0.039612
[95/5000][205/535][9470] Loss_D: -0.046041 Loss_G: 0.038071 Loss_D_real: -0.045619 Loss_D_fake 0.000422
[95/5000][210/535][9471] Loss_D: -0.049645 Loss_G: 0.032195 Loss_D_real: -0.033434 Loss_D_fake 0.016211
[95/5000][215/535][9472] Loss_D: -0.051897 Loss_G: 0.026342 Loss_D_real: -0.028058 Loss_D_fake 0.023839
[95/5000][220/535][9473] Loss_D: -0.048575 Loss_G: 0.052656 Loss_D_real: -0.049444 Loss_D_fake -0.000869
[95/5000][225/535][9474] Loss_D: -0.045951 Loss_G: -0.000010 Loss_D_real: -0.006004 Loss_D_fake 0.039947
[95/5000][230/535][9475] Loss_D: -0.047982 Loss_G: 0.038414 Loss_D_real: -0.044267 Loss_D_fake 0.003715
[95/5000][235/535][9476] Loss_D: -0.048325 Loss_G: 0.003080 Loss_D_real: -0.012680 Loss_D_fake 0.035645
[95/5000][240/535][9477] Loss_D: -0.050581 Loss_G: 0.041655 Loss_D_real: -0.045792 Loss_D_fake 0.004788
[95/5000][245/535][9478] Loss_D: -0.051003 Loss_G: 0.037321 Loss_D_real: -0.034951 Loss_D_fake 0.016052
[95/5000][250/535][9479] Loss_D: -0.050338 Loss_G: 0.041322 Loss_D_real: -0.039102 Loss_D_fake 0.011235
[95/5000][255/535][9480] Loss_D: -0.049696 Loss_G: 0.014386 Loss_D_real: -0.019145 Loss_D_fake 0.030551
[95/5000][260/535][9481] Loss_D: -0.049760 Loss_G: 0.013772 Loss_D_real: -0.022776 Loss_D_fake 0.026984
[95/5000][265/535][9482] Loss_D: -0.049305 Loss_G: 0.036908 Loss_D_real: -0.041099 Loss_D_fake 0.008206
[95/5000][270/535][9483] Loss_D: -0.048877 Loss_G: 0.006222 Loss_D_real: -0.013425 Loss_D_fake 0.035452
[95/5000][275/535][9484] Loss_D: -0.048189 Loss_G: 0.038635 Loss_D_real: -0.044377 Loss_D_fake 0.003812
[95/5000][280/535][9485] Loss_D: -0.048043 Loss_G: 0.032129 Loss_D_real: -0.032406 Loss_D_fake 0.015637
[95/5000][285/535][9486] Loss_D: -0.050001 Loss_G: 0.016040 Loss_D_real: -0.022479 Loss_D_fake 0.027522
[95/5000][290/535][9487] Loss_D: -0.049417 Loss_G: 0.046886 Loss_D_real: -0.043881 Loss_D_fake 0.005536
[95/5000][295/535][9488] Loss_D: -0.046690 Loss_G: 0.011972 Loss_D_real: -0.014810 Loss_D_fake 0.031879
[95/5000][300/535][9489] Loss_D: -0.049474 Loss_G: 0.039027 Loss_D_real: -0.040041 Loss_D_fake 0.009434
[95/5000][305/535][9490] Loss_D: -0.046284 Loss_G: 0.007595 Loss_D_real: -0.014747 Loss_D_fake 0.031538
[95/5000][310/535][9491] Loss_D: -0.049488 Loss_G: 0.040621 Loss_D_real: -0.041640 Loss_D_fake 0.007848
[95/5000][315/535][9492] Loss_D: -0.050404 Loss_G: 0.023543 Loss_D_real: -0.030137 Loss_D_fake 0.020267
[95/5000][320/535][9493] Loss_D: -0.050229 Loss_G: 0.041633 Loss_D_real: -0.037762 Loss_D_fake 0.012467
[95/5000][325/535][9494] Loss_D: -0.051517 Loss_G: 0.027010 Loss_D_real: -0.033825 Loss_D_fake 0.017692
[95/5000][330/535][9495] Loss_D: -0.049105 Loss_G: 0.028647 Loss_D_real: -0.031306 Loss_D_fake 0.017799
[95/5000][335/535][9496] Loss_D: -0.046249 Loss_G: 0.057812 Loss_D_real: -0.053315 Loss_D_fake -0.007066
[95/5000][340/535][9497] Loss_D: -0.046617 Loss_G: 0.000837 Loss_D_real: -0.010250 Loss_D_fake 0.036367
[95/5000][345/535][9498] Loss_D: -0.046204 Loss_G: 0.042828 Loss_D_real: -0.042504 Loss_D_fake 0.003699
[95/5000][350/535][9499] Loss_D: -0.048289 Loss_G: 0.017930 Loss_D_real: -0.031302 Loss_D_fake 0.016987
[95/5000][355/535][9500] Loss_D: -0.051688 Loss_G: 0.027876 Loss_D_real: -0.032261 Loss_D_fake 0.019427
[95/5000][455/535][9501] Loss_D: -0.049696 Loss_G: -0.001251 Loss_D_real: -0.004581 Loss_D_fake 0.045115
[95/5000][460/535][9502] Loss_D: -0.049024 Loss_G: 0.040645 Loss_D_real: -0.042013 Loss_D_fake 0.007011
[95/5000][465/535][9503] Loss_D: -0.047433 Loss_G: 0.017919 Loss_D_real: -0.026684 Loss_D_fake 0.020748
[95/5000][470/535][9504] Loss_D: -0.047559 Loss_G: 0.028853 Loss_D_real: -0.030391 Loss_D_fake 0.017168
[95/5000][475/535][9505] Loss_D: -0.047291 Loss_G: 0.041189 Loss_D_real: -0.041394 Loss_D_fake 0.005896
[95/5000][480/535][9506] Loss_D: -0.048913 Loss_G: 0.035911 Loss_D_real: -0.036626 Loss_D_fake 0.012287
[95/5000][485/535][9507] Loss_D: -0.049779 Loss_G: 0.013975 Loss_D_real: -0.023105 Loss_D_fake 0.026674
[95/5000][490/535][9508] Loss_D: -0.049303 Loss_G: 0.040961 Loss_D_real: -0.039737 Loss_D_fake 0.009565
[95/5000][495/535][9509] Loss_D: -0.051024 Loss_G: 0.023465 Loss_D_real: -0.026564 Loss_D_fake 0.024460
[95/5000][500/535][9510] Loss_D: -0.048814 Loss_G: 0.023941 Loss_D_real: -0.032079 Loss_D_fake 0.016735
[95/5000][505/535][9511] Loss_D: -0.049509 Loss_G: 0.026285 Loss_D_real: -0.027289 Loss_D_fake 0.022221
[95/5000][510/535][9512] Loss_D: -0.051184 Loss_G: 0.045915 Loss_D_real: -0.045660 Loss_D_fake 0.005525
[95/5000][515/535][9513] Loss_D: -0.047727 Loss_G: 0.019617 Loss_D_real: -0.023050 Loss_D_fake 0.024677
[95/5000][520/535][9514] Loss_D: -0.048063 Loss_G: 0.049578 Loss_D_real: -0.050511 Loss_D_fake -0.002448
[95/5000][525/535][9515] Loss_D: -0.048036 Loss_G: -0.001657 Loss_D_real: -0.011598 Loss_D_fake 0.036438
[95/5000][530/535][9516] Loss_D: -0.044684 Loss_G: 0.039108 Loss_D_real: -0.045601 Loss_D_fake -0.000917
[95/5000][535/535][9517] Loss_D: -0.043128 Loss_G: -0.003526 Loss_D_real: -0.007440 Loss_D_fake 0.035688
[96/5000][5/535][9518] Loss_D: -0.048552 Loss_G: 0.039846 Loss_D_real: -0.046885 Loss_D_fake 0.001666
[96/5000][10/535][9519] Loss_D: -0.048481 Loss_G: 0.022216 Loss_D_real: -0.030740 Loss_D_fake 0.017742
[96/5000][15/535][9520] Loss_D: -0.049273 Loss_G: 0.006520 Loss_D_real: -0.013634 Loss_D_fake 0.035639
[96/5000][20/535][9521] Loss_D: -0.050087 Loss_G: 0.026711 Loss_D_real: -0.031488 Loss_D_fake 0.018599
[96/5000][25/535][9522] Loss_D: -0.049171 Loss_G: 0.008767 Loss_D_real: -0.015157 Loss_D_fake 0.034015
[96/5000][30/535][9523] Loss_D: -0.048800 Loss_G: 0.036456 Loss_D_real: -0.042513 Loss_D_fake 0.006287
[96/5000][35/535][9524] Loss_D: -0.050967 Loss_G: 0.036972 Loss_D_real: -0.031854 Loss_D_fake 0.019113
[96/5000][40/535][9525] Loss_D: -0.048808 Loss_G: 0.019990 Loss_D_real: -0.028173 Loss_D_fake 0.020635
[96/5000][45/535][9526] Loss_D: -0.047419 Loss_G: 0.042439 Loss_D_real: -0.046960 Loss_D_fake 0.000459
[96/5000][50/535][9527] Loss_D: -0.050039 Loss_G: 0.010361 Loss_D_real: -0.016886 Loss_D_fake 0.033153
[96/5000][55/535][9528] Loss_D: -0.051075 Loss_G: 0.025050 Loss_D_real: -0.029716 Loss_D_fake 0.021359
[96/5000][60/535][9529] Loss_D: -0.050453 Loss_G: 0.005564 Loss_D_real: -0.020691 Loss_D_fake 0.029762
[96/5000][65/535][9530] Loss_D: -0.046710 Loss_G: 0.041092 Loss_D_real: -0.046038 Loss_D_fake 0.000672
[96/5000][70/535][9531] Loss_D: -0.047174 Loss_G: -0.000727 Loss_D_real: -0.009203 Loss_D_fake 0.037971
[96/5000][75/535][9532] Loss_D: -0.047613 Loss_G: 0.041135 Loss_D_real: -0.038124 Loss_D_fake 0.009489
[96/5000][80/535][9533] Loss_D: -0.047748 Loss_G: 0.021899 Loss_D_real: -0.026531 Loss_D_fake 0.021217
[96/5000][85/535][9534] Loss_D: -0.050376 Loss_G: 0.041786 Loss_D_real: -0.043513 Loss_D_fake 0.006862
[96/5000][90/535][9535] Loss_D: -0.049413 Loss_G: 0.002328 Loss_D_real: -0.015937 Loss_D_fake 0.033476
[96/5000][95/535][9536] Loss_D: -0.049818 Loss_G: 0.038795 Loss_D_real: -0.038547 Loss_D_fake 0.011271
[96/5000][100/535][9537] Loss_D: -0.046486 Loss_G: 0.008520 Loss_D_real: -0.015919 Loss_D_fake 0.030567
[96/5000][105/535][9538] Loss_D: -0.048731 Loss_G: 0.047468 Loss_D_real: -0.037966 Loss_D_fake 0.010764
[96/5000][110/535][9539] Loss_D: -0.047504 Loss_G: 0.026877 Loss_D_real: -0.026457 Loss_D_fake 0.021047
[96/5000][115/535][9540] Loss_D: -0.046932 Loss_G: 0.006861 Loss_D_real: -0.011477 Loss_D_fake 0.035456
[96/5000][120/535][9541] Loss_D: -0.046962 Loss_G: 0.049960 Loss_D_real: -0.043289 Loss_D_fake 0.003672
[96/5000][125/535][9542] Loss_D: -0.048727 Loss_G: 0.015123 Loss_D_real: -0.024279 Loss_D_fake 0.024448
[96/5000][130/535][9543] Loss_D: -0.049512 Loss_G: 0.028970 Loss_D_real: -0.035373 Loss_D_fake 0.014139
[96/5000][135/535][9544] Loss_D: -0.047655 Loss_G: 0.043379 Loss_D_real: -0.042830 Loss_D_fake 0.004825
[96/5000][140/535][9545] Loss_D: -0.046143 Loss_G: -0.005988 Loss_D_real: -0.000390 Loss_D_fake 0.045752
[96/5000][145/535][9546] Loss_D: -0.047262 Loss_G: 0.034618 Loss_D_real: -0.037954 Loss_D_fake 0.009308
[96/5000][150/535][9547] Loss_D: -0.046987 Loss_G: 0.013236 Loss_D_real: -0.022778 Loss_D_fake 0.024209
[96/5000][155/535][9548] Loss_D: -0.048784 Loss_G: 0.042474 Loss_D_real: -0.042716 Loss_D_fake 0.006068
[96/5000][160/535][9549] Loss_D: -0.048095 Loss_G: 0.020414 Loss_D_real: -0.024749 Loss_D_fake 0.023346
[96/5000][165/535][9550] Loss_D: -0.049623 Loss_G: 0.008551 Loss_D_real: -0.017461 Loss_D_fake 0.032162
[96/5000][170/535][9551] Loss_D: -0.046364 Loss_G: 0.046881 Loss_D_real: -0.041041 Loss_D_fake 0.005323
[96/5000][175/535][9552] Loss_D: -0.049975 Loss_G: 0.012175 Loss_D_real: -0.020001 Loss_D_fake 0.029975
[96/5000][180/535][9553] Loss_D: -0.047577 Loss_G: 0.051405 Loss_D_real: -0.046970 Loss_D_fake 0.000607
[96/5000][185/535][9554] Loss_D: -0.048655 Loss_G: -0.006558 Loss_D_real: -0.005415 Loss_D_fake 0.043240
[96/5000][190/535][9555] Loss_D: -0.045282 Loss_G: 0.032495 Loss_D_real: -0.035913 Loss_D_fake 0.009369
[96/5000][195/535][9556] Loss_D: -0.047403 Loss_G: 0.012623 Loss_D_real: -0.027896 Loss_D_fake 0.019507
[96/5000][200/535][9557] Loss_D: -0.050283 Loss_G: 0.029282 Loss_D_real: -0.033078 Loss_D_fake 0.017205
[96/5000][205/535][9558] Loss_D: -0.047773 Loss_G: 0.054739 Loss_D_real: -0.048953 Loss_D_fake -0.001180
[96/5000][210/535][9559] Loss_D: -0.049808 Loss_G: 0.015269 Loss_D_real: -0.018560 Loss_D_fake 0.031249
[96/5000][215/535][9560] Loss_D: -0.048611 Loss_G: 0.036679 Loss_D_real: -0.038022 Loss_D_fake 0.010589
[96/5000][220/535][9561] Loss_D: -0.050112 Loss_G: 0.026531 Loss_D_real: -0.029738 Loss_D_fake 0.020374
[96/5000][225/535][9562] Loss_D: -0.050865 Loss_G: 0.031492 Loss_D_real: -0.034101 Loss_D_fake 0.016765
[96/5000][230/535][9563] Loss_D: -0.050597 Loss_G: 0.024700 Loss_D_real: -0.027159 Loss_D_fake 0.023438
[96/5000][235/535][9564] Loss_D: -0.049747 Loss_G: 0.045339 Loss_D_real: -0.038684 Loss_D_fake 0.011063
[96/5000][240/535][9565] Loss_D: -0.045481 Loss_G: 0.011718 Loss_D_real: -0.021269 Loss_D_fake 0.024212
[96/5000][245/535][9566] Loss_D: -0.047542 Loss_G: 0.051619 Loss_D_real: -0.044300 Loss_D_fake 0.003241
[96/5000][250/535][9567] Loss_D: -0.047860 Loss_G: -0.005074 Loss_D_real: -0.009198 Loss_D_fake 0.038662
[96/5000][255/535][9568] Loss_D: -0.046640 Loss_G: 0.040084 Loss_D_real: -0.041347 Loss_D_fake 0.005292
[96/5000][260/535][9569] Loss_D: -0.048330 Loss_G: -0.003083 Loss_D_real: -0.010229 Loss_D_fake 0.038101
[96/5000][265/535][9570] Loss_D: -0.043928 Loss_G: 0.041461 Loss_D_real: -0.039878 Loss_D_fake 0.004050
[96/5000][270/535][9571] Loss_D: -0.048183 Loss_G: 0.002517 Loss_D_real: -0.012664 Loss_D_fake 0.035518
[96/5000][275/535][9572] Loss_D: -0.047873 Loss_G: 0.045555 Loss_D_real: -0.045624 Loss_D_fake 0.002250
[96/5000][280/535][9573] Loss_D: -0.047730 Loss_G: 0.021729 Loss_D_real: -0.023635 Loss_D_fake 0.024095
[96/5000][285/535][9574] Loss_D: -0.052497 Loss_G: 0.018168 Loss_D_real: -0.025239 Loss_D_fake 0.027258
[96/5000][290/535][9575] Loss_D: -0.049887 Loss_G: 0.036324 Loss_D_real: -0.039178 Loss_D_fake 0.010709
[96/5000][295/535][9576] Loss_D: -0.051077 Loss_G: 0.021726 Loss_D_real: -0.024756 Loss_D_fake 0.026321
[96/5000][300/535][9577] Loss_D: -0.053224 Loss_G: 0.036757 Loss_D_real: -0.037272 Loss_D_fake 0.015952
[96/5000][305/535][9578] Loss_D: -0.051478 Loss_G: 0.026409 Loss_D_real: -0.035124 Loss_D_fake 0.016354
[96/5000][310/535][9579] Loss_D: -0.049971 Loss_G: 0.022710 Loss_D_real: -0.027671 Loss_D_fake 0.022300
[96/5000][315/535][9580] Loss_D: -0.046539 Loss_G: 0.006689 Loss_D_real: -0.018593 Loss_D_fake 0.027946
[96/5000][320/535][9581] Loss_D: -0.049433 Loss_G: 0.038756 Loss_D_real: -0.040972 Loss_D_fake 0.008461
[96/5000][325/535][9582] Loss_D: -0.050033 Loss_G: 0.024214 Loss_D_real: -0.024936 Loss_D_fake 0.025096
[96/5000][330/535][9583] Loss_D: -0.050297 Loss_G: 0.033939 Loss_D_real: -0.034869 Loss_D_fake 0.015427
[96/5000][335/535][9584] Loss_D: -0.049502 Loss_G: 0.005978 Loss_D_real: -0.016250 Loss_D_fake 0.033252
[96/5000][340/535][9585] Loss_D: -0.047114 Loss_G: 0.036415 Loss_D_real: -0.041452 Loss_D_fake 0.005662
[96/5000][345/535][9586] Loss_D: -0.047747 Loss_G: 0.014742 Loss_D_real: -0.019759 Loss_D_fake 0.027987
[96/5000][350/535][9587] Loss_D: -0.049715 Loss_G: 0.016921 Loss_D_real: -0.026712 Loss_D_fake 0.023002
[96/5000][355/535][9588] Loss_D: -0.049237 Loss_G: 0.039899 Loss_D_real: -0.037196 Loss_D_fake 0.012041
[96/5000][360/535][9589] Loss_D: -0.048317 Loss_G: 0.016948 Loss_D_real: -0.025729 Loss_D_fake 0.022588
[96/5000][365/535][9590] Loss_D: -0.048425 Loss_G: 0.037511 Loss_D_real: -0.037378 Loss_D_fake 0.011047
[96/5000][370/535][9591] Loss_D: -0.048813 Loss_G: 0.048784 Loss_D_real: -0.042517 Loss_D_fake 0.006296
[96/5000][375/535][9592] Loss_D: -0.047623 Loss_G: 0.023518 Loss_D_real: -0.026161 Loss_D_fake 0.021462
[96/5000][380/535][9593] Loss_D: -0.048299 Loss_G: 0.050495 Loss_D_real: -0.050117 Loss_D_fake -0.001818
[96/5000][385/535][9594] Loss_D: -0.045924 Loss_G: -0.001704 Loss_D_real: -0.008145 Loss_D_fake 0.037779
[96/5000][390/535][9595] Loss_D: -0.044273 Loss_G: 0.047015 Loss_D_real: -0.044720 Loss_D_fake -0.000447
[96/5000][395/535][9596] Loss_D: -0.047254 Loss_G: 0.015007 Loss_D_real: -0.012634 Loss_D_fake 0.034620
[96/5000][400/535][9597] Loss_D: -0.042518 Loss_G: 0.048716 Loss_D_real: -0.051107 Loss_D_fake -0.008589
[96/5000][405/535][9598] Loss_D: -0.050192 Loss_G: 0.014805 Loss_D_real: -0.024250 Loss_D_fake 0.025943
[96/5000][410/535][9599] Loss_D: -0.047306 Loss_G: 0.049855 Loss_D_real: -0.053045 Loss_D_fake -0.005739
[96/5000][415/535][9600] Loss_D: -0.050342 Loss_G: 0.011903 Loss_D_real: -0.019220 Loss_D_fake 0.031121
[96/5000][420/535][9601] Loss_D: -0.048753 Loss_G: 0.011946 Loss_D_real: -0.017975 Loss_D_fake 0.030779
[96/5000][425/535][9602] Loss_D: -0.048320 Loss_G: 0.056146 Loss_D_real: -0.048220 Loss_D_fake 0.000100
[96/5000][430/535][9603] Loss_D: -0.049500 Loss_G: 0.025328 Loss_D_real: -0.026513 Loss_D_fake 0.022986
[96/5000][435/535][9604] Loss_D: -0.049143 Loss_G: 0.041928 Loss_D_real: -0.040714 Loss_D_fake 0.008429
[96/5000][440/535][9605] Loss_D: -0.048193 Loss_G: -0.010777 Loss_D_real: -0.004018 Loss_D_fake 0.044175
[96/5000][445/535][9606] Loss_D: -0.048327 Loss_G: 0.045365 Loss_D_real: -0.044376 Loss_D_fake 0.003951
[96/5000][450/535][9607] Loss_D: -0.048821 Loss_G: 0.017538 Loss_D_real: -0.021112 Loss_D_fake 0.027709
[96/5000][455/535][9608] Loss_D: -0.049901 Loss_G: 0.030615 Loss_D_real: -0.032479 Loss_D_fake 0.017422
[96/5000][460/535][9609] Loss_D: -0.050335 Loss_G: 0.007525 Loss_D_real: -0.015155 Loss_D_fake 0.035180
[96/5000][465/535][9610] Loss_D: -0.047937 Loss_G: 0.045565 Loss_D_real: -0.045747 Loss_D_fake 0.002190
[96/5000][470/535][9611] Loss_D: -0.048776 Loss_G: -0.006763 Loss_D_real: -0.007581 Loss_D_fake 0.041195
[96/5000][475/535][9612] Loss_D: -0.050387 Loss_G: 0.033870 Loss_D_real: -0.039849 Loss_D_fake 0.010538
[96/5000][480/535][9613] Loss_D: -0.048275 Loss_G: 0.007570 Loss_D_real: -0.018168 Loss_D_fake 0.030107
[96/5000][485/535][9614] Loss_D: -0.048323 Loss_G: 0.035591 Loss_D_real: -0.046697 Loss_D_fake 0.001625
[96/5000][490/535][9615] Loss_D: -0.051525 Loss_G: 0.038240 Loss_D_real: -0.034763 Loss_D_fake 0.016762
[96/5000][495/535][9616] Loss_D: -0.049337 Loss_G: 0.033063 Loss_D_real: -0.034622 Loss_D_fake 0.014715
[96/5000][500/535][9617] Loss_D: -0.047351 Loss_G: 0.055260 Loss_D_real: -0.047799 Loss_D_fake -0.000448
[96/5000][505/535][9618] Loss_D: -0.048069 Loss_G: 0.015641 Loss_D_real: -0.015164 Loss_D_fake 0.032905
[96/5000][510/535][9619] Loss_D: -0.050214 Loss_G: 0.031461 Loss_D_real: -0.035476 Loss_D_fake 0.014738
[96/5000][515/535][9620] Loss_D: -0.050464 Loss_G: 0.032515 Loss_D_real: -0.029829 Loss_D_fake 0.020634
[96/5000][520/535][9621] Loss_D: -0.048771 Loss_G: 0.003248 Loss_D_real: -0.019294 Loss_D_fake 0.029478
[96/5000][525/535][9622] Loss_D: -0.046400 Loss_G: 0.049727 Loss_D_real: -0.053054 Loss_D_fake -0.006654
[96/5000][530/535][9623] Loss_D: -0.049244 Loss_G: 0.031084 Loss_D_real: -0.034342 Loss_D_fake 0.014902
[96/5000][535/535][9624] Loss_D: -0.048973 Loss_G: 0.026792 Loss_D_real: -0.025720 Loss_D_fake 0.023252
[97/5000][5/535][9625] Loss_D: -0.048385 Loss_G: -0.003091 Loss_D_real: -0.018141 Loss_D_fake 0.030244
[97/5000][10/535][9626] Loss_D: -0.047588 Loss_G: 0.046525 Loss_D_real: -0.047019 Loss_D_fake 0.000569
[97/5000][15/535][9627] Loss_D: -0.047229 Loss_G: 0.047656 Loss_D_real: -0.040934 Loss_D_fake 0.006296
[97/5000][20/535][9628] Loss_D: -0.049237 Loss_G: 0.014591 Loss_D_real: -0.021504 Loss_D_fake 0.027733
[97/5000][25/535][9629] Loss_D: -0.046696 Loss_G: 0.047512 Loss_D_real: -0.044475 Loss_D_fake 0.002221
[97/5000][30/535][9630] Loss_D: -0.047781 Loss_G: 0.005656 Loss_D_real: -0.005801 Loss_D_fake 0.041980
[97/5000][35/535][9631] Loss_D: -0.047758 Loss_G: 0.032023 Loss_D_real: -0.035668 Loss_D_fake 0.012090
[97/5000][40/535][9632] Loss_D: -0.049417 Loss_G: 0.008958 Loss_D_real: -0.013688 Loss_D_fake 0.035730
[97/5000][45/535][9633] Loss_D: -0.049999 Loss_G: 0.039246 Loss_D_real: -0.041799 Loss_D_fake 0.008200
[97/5000][50/535][9634] Loss_D: -0.050220 Loss_G: 0.014502 Loss_D_real: -0.022300 Loss_D_fake 0.027920
[97/5000][55/535][9635] Loss_D: -0.048157 Loss_G: 0.045120 Loss_D_real: -0.042776 Loss_D_fake 0.005381
[97/5000][60/535][9636] Loss_D: -0.047262 Loss_G: -0.001171 Loss_D_real: -0.017073 Loss_D_fake 0.030189
[97/5000][65/535][9637] Loss_D: -0.049247 Loss_G: 0.034091 Loss_D_real: -0.035092 Loss_D_fake 0.014155
[97/5000][70/535][9638] Loss_D: -0.048876 Loss_G: 0.016237 Loss_D_real: -0.022872 Loss_D_fake 0.026004
[97/5000][75/535][9639] Loss_D: -0.050217 Loss_G: 0.026029 Loss_D_real: -0.031921 Loss_D_fake 0.018296
[97/5000][80/535][9640] Loss_D: -0.049566 Loss_G: 0.015091 Loss_D_real: -0.021533 Loss_D_fake 0.028033
[97/5000][85/535][9641] Loss_D: -0.050126 Loss_G: 0.031572 Loss_D_real: -0.033413 Loss_D_fake 0.016712
[97/5000][90/535][9642] Loss_D: -0.051331 Loss_G: 0.019543 Loss_D_real: -0.022348 Loss_D_fake 0.028983
[97/5000][95/535][9643] Loss_D: -0.049235 Loss_G: 0.022155 Loss_D_real: -0.030575 Loss_D_fake 0.018661
[97/5000][100/535][9644] Loss_D: -0.045051 Loss_G: 0.054259 Loss_D_real: -0.055173 Loss_D_fake -0.010122
[97/5000][105/535][9645] Loss_D: -0.049453 Loss_G: 0.018350 Loss_D_real: -0.028637 Loss_D_fake 0.020816
[97/5000][110/535][9646] Loss_D: -0.048643 Loss_G: 0.048539 Loss_D_real: -0.040476 Loss_D_fake 0.008167
[97/5000][115/535][9647] Loss_D: -0.049458 Loss_G: 0.017630 Loss_D_real: -0.021728 Loss_D_fake 0.027730
[97/5000][120/535][9648] Loss_D: -0.050209 Loss_G: 0.037290 Loss_D_real: -0.044053 Loss_D_fake 0.006156
[97/5000][125/535][9649] Loss_D: -0.048838 Loss_G: 0.032107 Loss_D_real: -0.029664 Loss_D_fake 0.019174
[97/5000][130/535][9650] Loss_D: -0.048580 Loss_G: 0.015082 Loss_D_real: -0.020938 Loss_D_fake 0.027643
[97/5000][135/535][9651] Loss_D: -0.049268 Loss_G: 0.052795 Loss_D_real: -0.045121 Loss_D_fake 0.004147
[97/5000][140/535][9652] Loss_D: -0.046097 Loss_G: -0.003610 Loss_D_real: -0.002747 Loss_D_fake 0.043350
[97/5000][145/535][9653] Loss_D: -0.046363 Loss_G: 0.037167 Loss_D_real: -0.044375 Loss_D_fake 0.001987
[97/5000][150/535][9654] Loss_D: -0.048346 Loss_G: 0.009306 Loss_D_real: -0.017469 Loss_D_fake 0.030877
[97/5000][155/535][9655] Loss_D: -0.047525 Loss_G: 0.042817 Loss_D_real: -0.049599 Loss_D_fake -0.002073
[97/5000][160/535][9656] Loss_D: -0.049730 Loss_G: 0.021730 Loss_D_real: -0.027354 Loss_D_fake 0.022376
[97/5000][165/535][9657] Loss_D: -0.048855 Loss_G: 0.042146 Loss_D_real: -0.037177 Loss_D_fake 0.011678
[97/5000][170/535][9658] Loss_D: -0.050578 Loss_G: 0.015553 Loss_D_real: -0.023678 Loss_D_fake 0.026900
[97/5000][175/535][9659] Loss_D: -0.048034 Loss_G: 0.044298 Loss_D_real: -0.044756 Loss_D_fake 0.003278
[97/5000][180/535][9660] Loss_D: -0.048103 Loss_G: -0.004440 Loss_D_real: -0.005621 Loss_D_fake 0.042481
[97/5000][185/535][9661] Loss_D: -0.046658 Loss_G: 0.034722 Loss_D_real: -0.038998 Loss_D_fake 0.007660
[97/5000][190/535][9662] Loss_D: -0.047754 Loss_G: 0.018007 Loss_D_real: -0.024966 Loss_D_fake 0.022788
[97/5000][195/535][9663] Loss_D: -0.048131 Loss_G: 0.041751 Loss_D_real: -0.041760 Loss_D_fake 0.006371
[97/5000][200/535][9664] Loss_D: -0.045860 Loss_G: 0.015938 Loss_D_real: -0.023964 Loss_D_fake 0.021896
[97/5000][205/535][9665] Loss_D: -0.049096 Loss_G: 0.041239 Loss_D_real: -0.038141 Loss_D_fake 0.010954
[97/5000][210/535][9666] Loss_D: -0.047401 Loss_G: 0.021540 Loss_D_real: -0.025342 Loss_D_fake 0.022059
[97/5000][215/535][9667] Loss_D: -0.048750 Loss_G: 0.049267 Loss_D_real: -0.050528 Loss_D_fake -0.001779
[97/5000][220/535][9668] Loss_D: -0.047042 Loss_G: 0.016860 Loss_D_real: -0.025128 Loss_D_fake 0.021914
[97/5000][225/535][9669] Loss_D: -0.049052 Loss_G: 0.041927 Loss_D_real: -0.040393 Loss_D_fake 0.008659
[97/5000][230/535][9670] Loss_D: -0.048628 Loss_G: 0.006048 Loss_D_real: -0.013880 Loss_D_fake 0.034748
[97/5000][235/535][9671] Loss_D: -0.048390 Loss_G: 0.034330 Loss_D_real: -0.038997 Loss_D_fake 0.009393
[97/5000][240/535][9672] Loss_D: -0.048874 Loss_G: 0.017880 Loss_D_real: -0.022864 Loss_D_fake 0.026010
[97/5000][245/535][9673] Loss_D: -0.046182 Loss_G: 0.049086 Loss_D_real: -0.051723 Loss_D_fake -0.005541
[97/5000][250/535][9674] Loss_D: -0.050654 Loss_G: 0.016216 Loss_D_real: -0.019909 Loss_D_fake 0.030745
[97/5000][255/535][9675] Loss_D: -0.047323 Loss_G: 0.046590 Loss_D_real: -0.043175 Loss_D_fake 0.004149
[97/5000][260/535][9676] Loss_D: -0.049504 Loss_G: -0.001463 Loss_D_real: -0.013413 Loss_D_fake 0.036091
[97/5000][265/535][9677] Loss_D: -0.046914 Loss_G: 0.044993 Loss_D_real: -0.040769 Loss_D_fake 0.006144
[97/5000][270/535][9678] Loss_D: -0.048630 Loss_G: 0.037296 Loss_D_real: -0.033240 Loss_D_fake 0.015391
[97/5000][275/535][9679] Loss_D: -0.049097 Loss_G: -0.011521 Loss_D_real: -0.003422 Loss_D_fake 0.045675
[97/5000][280/535][9680] Loss_D: -0.046471 Loss_G: 0.042915 Loss_D_real: -0.047240 Loss_D_fake -0.000769
[97/5000][285/535][9681] Loss_D: -0.050446 Loss_G: 0.023645 Loss_D_real: -0.029598 Loss_D_fake 0.020848
[97/5000][290/535][9682] Loss_D: -0.055234 Loss_G: 0.019872 Loss_D_real: -0.027612 Loss_D_fake 0.027622
[97/5000][295/535][9683] Loss_D: -0.048632 Loss_G: 0.043272 Loss_D_real: -0.039990 Loss_D_fake 0.008643
[97/5000][300/535][9684] Loss_D: -0.049630 Loss_G: 0.004123 Loss_D_real: -0.017498 Loss_D_fake 0.032132
[97/5000][305/535][9685] Loss_D: -0.049215 Loss_G: 0.027651 Loss_D_real: -0.034101 Loss_D_fake 0.015114
[97/5000][310/535][9686] Loss_D: -0.048999 Loss_G: 0.019288 Loss_D_real: -0.028078 Loss_D_fake 0.020921
[97/5000][315/535][9687] Loss_D: -0.047839 Loss_G: 0.043542 Loss_D_real: -0.045322 Loss_D_fake 0.002517
[97/5000][320/535][9688] Loss_D: -0.047790 Loss_G: -0.004464 Loss_D_real: -0.009293 Loss_D_fake 0.038497
[97/5000][325/535][9689] Loss_D: -0.047150 Loss_G: 0.045996 Loss_D_real: -0.046164 Loss_D_fake 0.000986
[97/5000][330/535][9690] Loss_D: -0.049610 Loss_G: 0.001480 Loss_D_real: -0.017901 Loss_D_fake 0.031709
[97/5000][335/535][9691] Loss_D: -0.048327 Loss_G: 0.041410 Loss_D_real: -0.034719 Loss_D_fake 0.013608
[97/5000][340/535][9692] Loss_D: -0.050957 Loss_G: 0.027021 Loss_D_real: -0.028515 Loss_D_fake 0.022442
[97/5000][345/535][9693] Loss_D: -0.051082 Loss_G: 0.000487 Loss_D_real: -0.013078 Loss_D_fake 0.038004
[97/5000][350/535][9694] Loss_D: -0.045400 Loss_G: 0.048486 Loss_D_real: -0.050415 Loss_D_fake -0.005015
[97/5000][355/535][9695] Loss_D: -0.048541 Loss_G: 0.028584 Loss_D_real: -0.026272 Loss_D_fake 0.022269
[97/5000][360/535][9696] Loss_D: -0.047901 Loss_G: 0.059064 Loss_D_real: -0.052514 Loss_D_fake -0.004613
[97/5000][365/535][9697] Loss_D: -0.047019 Loss_G: 0.009578 Loss_D_real: -0.012059 Loss_D_fake 0.034960
[97/5000][370/535][9698] Loss_D: -0.049096 Loss_G: 0.040843 Loss_D_real: -0.043559 Loss_D_fake 0.005537
[97/5000][375/535][9699] Loss_D: -0.049931 Loss_G: 0.032608 Loss_D_real: -0.030382 Loss_D_fake 0.019549
[97/5000][380/535][9700] Loss_D: -0.048600 Loss_G: 0.017790 Loss_D_real: -0.020404 Loss_D_fake 0.028196
[97/5000][385/535][9701] Loss_D: -0.049825 Loss_G: 0.015955 Loss_D_real: -0.024812 Loss_D_fake 0.025013
[97/5000][390/535][9702] Loss_D: -0.049361 Loss_G: 0.032114 Loss_D_real: -0.033859 Loss_D_fake 0.015502
[97/5000][395/535][9703] Loss_D: -0.049810 Loss_G: 0.029193 Loss_D_real: -0.029360 Loss_D_fake 0.020450
[97/5000][400/535][9704] Loss_D: -0.047140 Loss_G: 0.002295 Loss_D_real: -0.021166 Loss_D_fake 0.025974
[97/5000][405/535][9705] Loss_D: -0.049133 Loss_G: 0.021575 Loss_D_real: -0.032445 Loss_D_fake 0.016688
[97/5000][410/535][9706] Loss_D: -0.048384 Loss_G: 0.054483 Loss_D_real: -0.049659 Loss_D_fake -0.001275
[97/5000][415/535][9707] Loss_D: -0.046890 Loss_G: 0.007214 Loss_D_real: -0.008721 Loss_D_fake 0.038169
[97/5000][420/535][9708] Loss_D: -0.046261 Loss_G: 0.043285 Loss_D_real: -0.046298 Loss_D_fake -0.000037
[97/5000][425/535][9709] Loss_D: -0.048581 Loss_G: 0.004430 Loss_D_real: -0.018018 Loss_D_fake 0.030563
[97/5000][430/535][9710] Loss_D: -0.048643 Loss_G: 0.030687 Loss_D_real: -0.034232 Loss_D_fake 0.014411
[97/5000][435/535][9711] Loss_D: -0.047603 Loss_G: 0.027107 Loss_D_real: -0.024526 Loss_D_fake 0.023078
[97/5000][440/535][9712] Loss_D: -0.051064 Loss_G: 0.025952 Loss_D_real: -0.030231 Loss_D_fake 0.020833
[97/5000][445/535][9713] Loss_D: -0.045925 Loss_G: 0.052110 Loss_D_real: -0.048493 Loss_D_fake -0.002568
[97/5000][450/535][9714] Loss_D: -0.046904 Loss_G: -0.010501 Loss_D_real: -0.003694 Loss_D_fake 0.043210
[97/5000][455/535][9715] Loss_D: -0.044327 Loss_G: 0.029034 Loss_D_real: -0.031869 Loss_D_fake 0.012459
[97/5000][460/535][9716] Loss_D: -0.047397 Loss_G: 0.017349 Loss_D_real: -0.021609 Loss_D_fake 0.025789
[97/5000][465/535][9717] Loss_D: -0.047200 Loss_G: 0.034031 Loss_D_real: -0.036123 Loss_D_fake 0.011077
[97/5000][470/535][9718] Loss_D: -0.048606 Loss_G: 0.011133 Loss_D_real: -0.022322 Loss_D_fake 0.026283
[97/5000][475/535][9719] Loss_D: -0.046980 Loss_G: 0.040877 Loss_D_real: -0.039914 Loss_D_fake 0.007066
[97/5000][480/535][9720] Loss_D: -0.046202 Loss_G: 0.004125 Loss_D_real: -0.014374 Loss_D_fake 0.031828
[97/5000][485/535][9721] Loss_D: -0.047416 Loss_G: 0.033130 Loss_D_real: -0.037350 Loss_D_fake 0.010065
[97/5000][490/535][9722] Loss_D: -0.049388 Loss_G: 0.041877 Loss_D_real: -0.036390 Loss_D_fake 0.012998
[97/5000][495/535][9723] Loss_D: -0.048835 Loss_G: 0.023289 Loss_D_real: -0.023183 Loss_D_fake 0.025652
[97/5000][500/535][9724] Loss_D: -0.048004 Loss_G: -0.004004 Loss_D_real: -0.006832 Loss_D_fake 0.041172
[97/5000][505/535][9725] Loss_D: -0.046267 Loss_G: 0.039410 Loss_D_real: -0.048173 Loss_D_fake -0.001906
[97/5000][510/535][9726] Loss_D: -0.048853 Loss_G: 0.011612 Loss_D_real: -0.016590 Loss_D_fake 0.032263
[97/5000][515/535][9727] Loss_D: -0.048800 Loss_G: 0.035260 Loss_D_real: -0.038101 Loss_D_fake 0.010700
[97/5000][520/535][9728] Loss_D: -0.046332 Loss_G: 0.026919 Loss_D_real: -0.028868 Loss_D_fake 0.017464
[97/5000][525/535][9729] Loss_D: -0.048326 Loss_G: 0.025389 Loss_D_real: -0.029421 Loss_D_fake 0.018906
[97/5000][530/535][9730] Loss_D: -0.047535 Loss_G: 0.047352 Loss_D_real: -0.047473 Loss_D_fake 0.000062
[97/5000][535/535][9731] Loss_D: -0.051840 Loss_G: 0.026981 Loss_D_real: -0.037469 Loss_D_fake 0.014371
[98/5000][5/535][9732] Loss_D: -0.049456 Loss_G: 0.029224 Loss_D_real: -0.028626 Loss_D_fake 0.020830
[98/5000][10/535][9733] Loss_D: -0.049337 Loss_G: 0.055490 Loss_D_real: -0.055469 Loss_D_fake -0.006132
[98/5000][15/535][9734] Loss_D: -0.046714 Loss_G: -0.006459 Loss_D_real: -0.008158 Loss_D_fake 0.038556
[98/5000][20/535][9735] Loss_D: -0.047747 Loss_G: 0.024229 Loss_D_real: -0.033292 Loss_D_fake 0.014455
[98/5000][25/535][9736] Loss_D: -0.049585 Loss_G: 0.031420 Loss_D_real: -0.036413 Loss_D_fake 0.013172
[98/5000][30/535][9737] Loss_D: -0.051238 Loss_G: 0.018074 Loss_D_real: -0.024478 Loss_D_fake 0.026760
[98/5000][35/535][9738] Loss_D: -0.047466 Loss_G: 0.051741 Loss_D_real: -0.051329 Loss_D_fake -0.003863
[98/5000][40/535][9739] Loss_D: -0.048293 Loss_G: 0.007213 Loss_D_real: -0.019292 Loss_D_fake 0.029001
[98/5000][45/535][9740] Loss_D: -0.048734 Loss_G: 0.038939 Loss_D_real: -0.035527 Loss_D_fake 0.013207
[98/5000][50/535][9741] Loss_D: -0.047021 Loss_G: 0.015422 Loss_D_real: -0.016212 Loss_D_fake 0.030808
[98/5000][55/535][9742] Loss_D: -0.049568 Loss_G: 0.029859 Loss_D_real: -0.029887 Loss_D_fake 0.019681
[98/5000][60/535][9743] Loss_D: -0.050793 Loss_G: 0.026174 Loss_D_real: -0.028782 Loss_D_fake 0.022011
[98/5000][65/535][9744] Loss_D: -0.049133 Loss_G: 0.043821 Loss_D_real: -0.038853 Loss_D_fake 0.010280
[98/5000][70/535][9745] Loss_D: -0.049326 Loss_G: 0.043304 Loss_D_real: -0.032156 Loss_D_fake 0.017171
[98/5000][75/535][9746] Loss_D: -0.048484 Loss_G: 0.018710 Loss_D_real: -0.021773 Loss_D_fake 0.026711
[98/5000][80/535][9747] Loss_D: -0.045126 Loss_G: 0.061576 Loss_D_real: -0.055175 Loss_D_fake -0.010049
[98/5000][85/535][9748] Loss_D: -0.047864 Loss_G: 0.008467 Loss_D_real: -0.017057 Loss_D_fake 0.030807
[98/5000][90/535][9749] Loss_D: -0.048129 Loss_G: 0.030874 Loss_D_real: -0.033496 Loss_D_fake 0.014633
[98/5000][95/535][9750] Loss_D: -0.049305 Loss_G: 0.006133 Loss_D_real: -0.015099 Loss_D_fake 0.034206
[98/5000][100/535][9751] Loss_D: -0.049201 Loss_G: 0.030678 Loss_D_real: -0.033139 Loss_D_fake 0.016062
[98/5000][105/535][9752] Loss_D: -0.049124 Loss_G: 0.032794 Loss_D_real: -0.036013 Loss_D_fake 0.013111
[98/5000][110/535][9753] Loss_D: -0.049348 Loss_G: 0.003134 Loss_D_real: -0.016055 Loss_D_fake 0.033293
[98/5000][115/535][9754] Loss_D: -0.046881 Loss_G: 0.051303 Loss_D_real: -0.053262 Loss_D_fake -0.006381
[98/5000][120/535][9755] Loss_D: -0.046261 Loss_G: -0.003267 Loss_D_real: -0.009388 Loss_D_fake 0.036873
[98/5000][125/535][9756] Loss_D: -0.044591 Loss_G: 0.048732 Loss_D_real: -0.052110 Loss_D_fake -0.007519
[98/5000][130/535][9757] Loss_D: -0.050055 Loss_G: 0.008571 Loss_D_real: -0.024947 Loss_D_fake 0.025108
[98/5000][135/535][9758] Loss_D: -0.051149 Loss_G: 0.031867 Loss_D_real: -0.036593 Loss_D_fake 0.014556
[98/5000][140/535][9759] Loss_D: -0.047950 Loss_G: 0.055299 Loss_D_real: -0.049824 Loss_D_fake -0.001874
[98/5000][145/535][9760] Loss_D: -0.047822 Loss_G: 0.005405 Loss_D_real: -0.013364 Loss_D_fake 0.034458
[98/5000][150/535][9761] Loss_D: -0.047737 Loss_G: 0.046736 Loss_D_real: -0.046917 Loss_D_fake 0.000820
[98/5000][155/535][9762] Loss_D: -0.048298 Loss_G: 0.016111 Loss_D_real: -0.019395 Loss_D_fake 0.028903
[98/5000][160/535][9763] Loss_D: -0.048406 Loss_G: 0.044058 Loss_D_real: -0.046005 Loss_D_fake 0.002401
[98/5000][165/535][9764] Loss_D: -0.047393 Loss_G: 0.004484 Loss_D_real: -0.012238 Loss_D_fake 0.035156
[98/5000][170/535][9765] Loss_D: -0.048735 Loss_G: 0.034678 Loss_D_real: -0.040750 Loss_D_fake 0.007985
[98/5000][175/535][9766] Loss_D: -0.050180 Loss_G: 0.029852 Loss_D_real: -0.032412 Loss_D_fake 0.017768
[98/5000][180/535][9767] Loss_D: -0.050549 Loss_G: 0.030133 Loss_D_real: -0.028108 Loss_D_fake 0.022441
[98/5000][185/535][9768] Loss_D: -0.048945 Loss_G: 0.008206 Loss_D_real: -0.021105 Loss_D_fake 0.027840
[98/5000][190/535][9769] Loss_D: -0.049467 Loss_G: 0.023037 Loss_D_real: -0.032100 Loss_D_fake 0.017367
[98/5000][195/535][9770] Loss_D: -0.049305 Loss_G: 0.024989 Loss_D_real: -0.032213 Loss_D_fake 0.017092
[98/5000][200/535][9771] Loss_D: -0.049718 Loss_G: 0.005482 Loss_D_real: -0.022808 Loss_D_fake 0.026910
[98/5000][205/535][9772] Loss_D: -0.050219 Loss_G: 0.031763 Loss_D_real: -0.026837 Loss_D_fake 0.023382
[98/5000][210/535][9773] Loss_D: -0.051559 Loss_G: 0.035628 Loss_D_real: -0.035279 Loss_D_fake 0.016279
[98/5000][215/535][9774] Loss_D: -0.050123 Loss_G: 0.023079 Loss_D_real: -0.023740 Loss_D_fake 0.026383
[98/5000][220/535][9775] Loss_D: -0.049261 Loss_G: 0.044176 Loss_D_real: -0.040946 Loss_D_fake 0.008315
[98/5000][225/535][9776] Loss_D: -0.047634 Loss_G: 0.026742 Loss_D_real: -0.031802 Loss_D_fake 0.015833
[98/5000][230/535][9777] Loss_D: -0.048259 Loss_G: 0.000524 Loss_D_real: -0.011280 Loss_D_fake 0.036979
[98/5000][235/535][9778] Loss_D: -0.045066 Loss_G: 0.039868 Loss_D_real: -0.042713 Loss_D_fake 0.002353
[98/5000][240/535][9779] Loss_D: -0.047763 Loss_G: -0.004700 Loss_D_real: -0.012613 Loss_D_fake 0.035151
[98/5000][245/535][9780] Loss_D: -0.045310 Loss_G: 0.035328 Loss_D_real: -0.039153 Loss_D_fake 0.006157
[98/5000][250/535][9781] Loss_D: -0.048048 Loss_G: 0.045867 Loss_D_real: -0.042329 Loss_D_fake 0.005719
[98/5000][255/535][9782] Loss_D: -0.046813 Loss_G: 0.023112 Loss_D_real: -0.022104 Loss_D_fake 0.024709
[98/5000][260/535][9783] Loss_D: -0.047975 Loss_G: 0.041595 Loss_D_real: -0.040673 Loss_D_fake 0.007302
[98/5000][265/535][9784] Loss_D: -0.046976 Loss_G: 0.000928 Loss_D_real: -0.007156 Loss_D_fake 0.039820
[98/5000][270/535][9785] Loss_D: -0.048048 Loss_G: 0.040152 Loss_D_real: -0.041427 Loss_D_fake 0.006621
[98/5000][275/535][9786] Loss_D: -0.048125 Loss_G: 0.014225 Loss_D_real: -0.021513 Loss_D_fake 0.026612
[98/5000][280/535][9787] Loss_D: -0.046736 Loss_G: 0.012037 Loss_D_real: -0.024506 Loss_D_fake 0.022231
[98/5000][285/535][9788] Loss_D: -0.045690 Loss_G: 0.050995 Loss_D_real: -0.044989 Loss_D_fake 0.000701
[98/5000][290/535][9789] Loss_D: -0.046426 Loss_G: 0.004744 Loss_D_real: -0.010806 Loss_D_fake 0.035620
[98/5000][295/535][9790] Loss_D: -0.047015 Loss_G: 0.026449 Loss_D_real: -0.032873 Loss_D_fake 0.014142
[98/5000][300/535][9791] Loss_D: -0.050153 Loss_G: 0.013674 Loss_D_real: -0.023422 Loss_D_fake 0.026730
[98/5000][305/535][9792] Loss_D: -0.047198 Loss_G: 0.052864 Loss_D_real: -0.051526 Loss_D_fake -0.004328
[98/5000][310/535][9793] Loss_D: -0.046927 Loss_G: -0.006345 Loss_D_real: -0.009886 Loss_D_fake 0.037041
[98/5000][315/535][9794] Loss_D: -0.048501 Loss_G: 0.025926 Loss_D_real: -0.035200 Loss_D_fake 0.013301
[98/5000][320/535][9795] Loss_D: -0.047460 Loss_G: 0.004022 Loss_D_real: -0.022874 Loss_D_fake 0.024586
[98/5000][325/535][9796] Loss_D: -0.046234 Loss_G: 0.042442 Loss_D_real: -0.036903 Loss_D_fake 0.009330
[98/5000][330/535][9797] Loss_D: -0.047221 Loss_G: 0.006802 Loss_D_real: -0.018727 Loss_D_fake 0.028494
[98/5000][335/535][9798] Loss_D: -0.048767 Loss_G: 0.032698 Loss_D_real: -0.037481 Loss_D_fake 0.011286
[98/5000][340/535][9799] Loss_D: -0.048779 Loss_G: 0.028454 Loss_D_real: -0.026898 Loss_D_fake 0.021881
[98/5000][345/535][9800] Loss_D: -0.050535 Loss_G: 0.035629 Loss_D_real: -0.027953 Loss_D_fake 0.022582
[98/5000][350/535][9801] Loss_D: -0.050573 Loss_G: 0.044349 Loss_D_real: -0.038651 Loss_D_fake 0.011922
[98/5000][355/535][9802] Loss_D: -0.049180 Loss_G: 0.004661 Loss_D_real: -0.017719 Loss_D_fake 0.031461
[98/5000][360/535][9803] Loss_D: -0.045772 Loss_G: 0.049084 Loss_D_real: -0.047232 Loss_D_fake -0.001461
[98/5000][365/535][9804] Loss_D: -0.047239 Loss_G: 0.000752 Loss_D_real: -0.014143 Loss_D_fake 0.033096
[98/5000][370/535][9805] Loss_D: -0.046615 Loss_G: 0.037396 Loss_D_real: -0.038675 Loss_D_fake 0.007940
[98/5000][375/535][9806] Loss_D: -0.049568 Loss_G: 0.041783 Loss_D_real: -0.043861 Loss_D_fake 0.005707
[98/5000][380/535][9807] Loss_D: -0.049566 Loss_G: -0.008976 Loss_D_real: -0.003765 Loss_D_fake 0.045801
[98/5000][385/535][9808] Loss_D: -0.045193 Loss_G: 0.047679 Loss_D_real: -0.052270 Loss_D_fake -0.007077
[98/5000][390/535][9809] Loss_D: -0.049401 Loss_G: 0.007822 Loss_D_real: -0.020041 Loss_D_fake 0.029359
[98/5000][395/535][9810] Loss_D: -0.048874 Loss_G: 0.051025 Loss_D_real: -0.050450 Loss_D_fake -0.001576
[98/5000][400/535][9811] Loss_D: -0.048974 Loss_G: 0.021865 Loss_D_real: -0.032012 Loss_D_fake 0.016962
[98/5000][405/535][9812] Loss_D: -0.047965 Loss_G: 0.056716 Loss_D_real: -0.049502 Loss_D_fake -0.001537
[98/5000][410/535][9813] Loss_D: -0.044292 Loss_G: 0.012352 Loss_D_real: -0.017342 Loss_D_fake 0.026950
[98/5000][415/535][9814] Loss_D: -0.049292 Loss_G: 0.035591 Loss_D_real: -0.035079 Loss_D_fake 0.014213
[98/5000][420/535][9815] Loss_D: -0.050544 Loss_G: 0.019219 Loss_D_real: -0.022708 Loss_D_fake 0.027836
[98/5000][425/535][9816] Loss_D: -0.050345 Loss_G: 0.039941 Loss_D_real: -0.040037 Loss_D_fake 0.010308
[98/5000][430/535][9817] Loss_D: -0.051075 Loss_G: 0.016833 Loss_D_real: -0.023711 Loss_D_fake 0.027364
[98/5000][435/535][9818] Loss_D: -0.050179 Loss_G: 0.041587 Loss_D_real: -0.039953 Loss_D_fake 0.010226
[98/5000][440/535][9819] Loss_D: -0.047152 Loss_G: 0.001998 Loss_D_real: -0.012613 Loss_D_fake 0.034539
[98/5000][445/535][9820] Loss_D: -0.044661 Loss_G: 0.037887 Loss_D_real: -0.042368 Loss_D_fake 0.002293
[98/5000][450/535][9821] Loss_D: -0.049360 Loss_G: 0.021910 Loss_D_real: -0.029157 Loss_D_fake 0.020202
[98/5000][455/535][9822] Loss_D: -0.051279 Loss_G: 0.021606 Loss_D_real: -0.032500 Loss_D_fake 0.018779
[98/5000][460/535][9823] Loss_D: -0.051078 Loss_G: 0.045550 Loss_D_real: -0.038135 Loss_D_fake 0.012943
[98/5000][465/535][9824] Loss_D: -0.047200 Loss_G: 0.012344 Loss_D_real: -0.020103 Loss_D_fake 0.027097
[98/5000][470/535][9825] Loss_D: -0.049304 Loss_G: 0.023887 Loss_D_real: -0.030114 Loss_D_fake 0.019190
[98/5000][475/535][9826] Loss_D: -0.050269 Loss_G: 0.022610 Loss_D_real: -0.025816 Loss_D_fake 0.024453
[98/5000][480/535][9827] Loss_D: -0.048782 Loss_G: 0.034798 Loss_D_real: -0.037864 Loss_D_fake 0.010918
[98/5000][485/535][9828] Loss_D: -0.051253 Loss_G: 0.040312 Loss_D_real: -0.031757 Loss_D_fake 0.019496
[98/5000][490/535][9829] Loss_D: -0.046892 Loss_G: -0.009234 Loss_D_real: -0.002393 Loss_D_fake 0.044499
[98/5000][495/535][9830] Loss_D: -0.042617 Loss_G: 0.041320 Loss_D_real: -0.049852 Loss_D_fake -0.007235
[98/5000][500/535][9831] Loss_D: -0.045614 Loss_G: 0.011995 Loss_D_real: -0.007941 Loss_D_fake 0.037673
[98/5000][505/535][9832] Loss_D: -0.044834 Loss_G: 0.040987 Loss_D_real: -0.038753 Loss_D_fake 0.006081
[98/5000][510/535][9833] Loss_D: -0.047621 Loss_G: 0.003757 Loss_D_real: -0.010023 Loss_D_fake 0.037598
[98/5000][515/535][9834] Loss_D: -0.049588 Loss_G: 0.021062 Loss_D_real: -0.027063 Loss_D_fake 0.022524
[98/5000][520/535][9835] Loss_D: -0.045224 Loss_G: -0.004022 Loss_D_real: -0.011438 Loss_D_fake 0.033785
[98/5000][525/535][9836] Loss_D: -0.048143 Loss_G: 0.028768 Loss_D_real: -0.033428 Loss_D_fake 0.014715
[98/5000][530/535][9837] Loss_D: -0.046994 Loss_G: 0.006446 Loss_D_real: -0.015851 Loss_D_fake 0.031143
[98/5000][535/535][9838] Loss_D: -0.052126 Loss_G: 0.032410 Loss_D_real: -0.035870 Loss_D_fake 0.016256
[99/5000][5/535][9839] Loss_D: -0.049499 Loss_G: 0.014050 Loss_D_real: -0.021083 Loss_D_fake 0.028417
[99/5000][10/535][9840] Loss_D: -0.048273 Loss_G: 0.028448 Loss_D_real: -0.032878 Loss_D_fake 0.015395
[99/5000][15/535][9841] Loss_D: -0.046633 Loss_G: 0.006383 Loss_D_real: -0.013781 Loss_D_fake 0.032852
[99/5000][20/535][9842] Loss_D: -0.046519 Loss_G: 0.027076 Loss_D_real: -0.031045 Loss_D_fake 0.015474
[99/5000][25/535][9843] Loss_D: -0.047068 Loss_G: 0.000681 Loss_D_real: -0.013759 Loss_D_fake 0.033310
[99/5000][30/535][9844] Loss_D: -0.048471 Loss_G: 0.045646 Loss_D_real: -0.040351 Loss_D_fake 0.008120
[99/5000][35/535][9845] Loss_D: -0.047315 Loss_G: 0.015466 Loss_D_real: -0.019484 Loss_D_fake 0.027831
[99/5000][40/535][9846] Loss_D: -0.044062 Loss_G: 0.047222 Loss_D_real: -0.047151 Loss_D_fake -0.003089
[99/5000][45/535][9847] Loss_D: -0.046652 Loss_G: 0.016664 Loss_D_real: -0.019786 Loss_D_fake 0.026866
[99/5000][50/535][9848] Loss_D: -0.045694 Loss_G: 0.042135 Loss_D_real: -0.044916 Loss_D_fake 0.000778
[99/5000][55/535][9849] Loss_D: -0.048074 Loss_G: 0.032367 Loss_D_real: -0.040275 Loss_D_fake 0.007799
[99/5000][60/535][9850] Loss_D: -0.049438 Loss_G: 0.036523 Loss_D_real: -0.036798 Loss_D_fake 0.012640
[99/5000][65/535][9851] Loss_D: -0.050482 Loss_G: 0.047333 Loss_D_real: -0.042739 Loss_D_fake 0.007743
[99/5000][70/535][9852] Loss_D: -0.048527 Loss_G: -0.003468 Loss_D_real: -0.014157 Loss_D_fake 0.034370
[99/5000][75/535][9853] Loss_D: -0.043573 Loss_G: 0.054813 Loss_D_real: -0.052543 Loss_D_fake -0.008970
[99/5000][80/535][9854] Loss_D: -0.048555 Loss_G: 0.005925 Loss_D_real: -0.009888 Loss_D_fake 0.038667
[99/5000][85/535][9855] Loss_D: -0.049007 Loss_G: 0.028322 Loss_D_real: -0.033522 Loss_D_fake 0.015485
[99/5000][90/535][9856] Loss_D: -0.047586 Loss_G: 0.024096 Loss_D_real: -0.024314 Loss_D_fake 0.023272
[99/5000][95/535][9857] Loss_D: -0.047385 Loss_G: 0.038801 Loss_D_real: -0.038556 Loss_D_fake 0.008829
[99/5000][100/535][9858] Loss_D: -0.049123 Loss_G: 0.004048 Loss_D_real: -0.012918 Loss_D_fake 0.036205
[99/5000][105/535][9859] Loss_D: -0.048754 Loss_G: 0.029263 Loss_D_real: -0.029575 Loss_D_fake 0.019178
[99/5000][110/535][9860] Loss_D: -0.047542 Loss_G: -0.001056 Loss_D_real: -0.005254 Loss_D_fake 0.042289
[99/5000][115/535][9861] Loss_D: -0.047435 Loss_G: 0.034983 Loss_D_real: -0.039693 Loss_D_fake 0.007743
[99/5000][120/535][9862] Loss_D: -0.049157 Loss_G: 0.044087 Loss_D_real: -0.044592 Loss_D_fake 0.004565
[99/5000][125/535][9863] Loss_D: -0.050225 Loss_G: 0.031641 Loss_D_real: -0.030745 Loss_D_fake 0.019480
[99/5000][130/535][9864] Loss_D: -0.050309 Loss_G: -0.004343 Loss_D_real: -0.010319 Loss_D_fake 0.039990
[99/5000][135/535][9865] Loss_D: -0.048680 Loss_G: 0.041798 Loss_D_real: -0.039070 Loss_D_fake 0.009610
[99/5000][140/535][9866] Loss_D: -0.050227 Loss_G: 0.017391 Loss_D_real: -0.024265 Loss_D_fake 0.025963
[99/5000][145/535][9867] Loss_D: -0.046838 Loss_G: 0.051246 Loss_D_real: -0.051456 Loss_D_fake -0.004618
[99/5000][150/535][9868] Loss_D: -0.048951 Loss_G: 0.006885 Loss_D_real: -0.019127 Loss_D_fake 0.029824
[99/5000][155/535][9869] Loss_D: -0.048467 Loss_G: 0.036013 Loss_D_real: -0.034680 Loss_D_fake 0.013786
[99/5000][160/535][9870] Loss_D: -0.049571 Loss_G: 0.012500 Loss_D_real: -0.017404 Loss_D_fake 0.032167
[99/5000][165/535][9871] Loss_D: -0.049267 Loss_G: 0.039865 Loss_D_real: -0.039007 Loss_D_fake 0.010260
[99/5000][170/535][9872] Loss_D: -0.050545 Loss_G: 0.018078 Loss_D_real: -0.026857 Loss_D_fake 0.023688
[99/5000][175/535][9873] Loss_D: -0.047095 Loss_G: 0.043795 Loss_D_real: -0.047079 Loss_D_fake 0.000016
[99/5000][180/535][9874] Loss_D: -0.047089 Loss_G: 0.031663 Loss_D_real: -0.033754 Loss_D_fake 0.013335
[99/5000][185/535][9875] Loss_D: -0.051900 Loss_G: 0.033371 Loss_D_real: -0.033611 Loss_D_fake 0.018289
[99/5000][190/535][9876] Loss_D: -0.048698 Loss_G: 0.019891 Loss_D_real: -0.016072 Loss_D_fake 0.032626
[99/5000][195/535][9877] Loss_D: -0.045286 Loss_G: 0.003259 Loss_D_real: -0.016570 Loss_D_fake 0.028717
[99/5000][200/535][9878] Loss_D: -0.045929 Loss_G: 0.056009 Loss_D_real: -0.055815 Loss_D_fake -0.009886
[99/5000][205/535][9879] Loss_D: -0.048875 Loss_G: 0.006015 Loss_D_real: -0.009897 Loss_D_fake 0.038979
[99/5000][210/535][9880] Loss_D: -0.047199 Loss_G: 0.038312 Loss_D_real: -0.032769 Loss_D_fake 0.014430
[99/5000][215/535][9881] Loss_D: -0.050743 Loss_G: 0.023371 Loss_D_real: -0.026199 Loss_D_fake 0.024545
[99/5000][220/535][9882] Loss_D: -0.050059 Loss_G: 0.028494 Loss_D_real: -0.033670 Loss_D_fake 0.016389
[99/5000][225/535][9883] Loss_D: -0.049172 Loss_G: 0.006912 Loss_D_real: -0.022137 Loss_D_fake 0.027035
[99/5000][230/535][9884] Loss_D: -0.046435 Loss_G: 0.044018 Loss_D_real: -0.047663 Loss_D_fake -0.001228
[99/5000][235/535][9885] Loss_D: -0.050245 Loss_G: 0.014217 Loss_D_real: -0.024796 Loss_D_fake 0.025450
[99/5000][240/535][9886] Loss_D: -0.046073 Loss_G: 0.041017 Loss_D_real: -0.049657 Loss_D_fake -0.003584
[99/5000][245/535][9887] Loss_D: -0.048015 Loss_G: -0.002177 Loss_D_real: -0.012528 Loss_D_fake 0.035487
[99/5000][250/535][9888] Loss_D: -0.047222 Loss_G: 0.029328 Loss_D_real: -0.030709 Loss_D_fake 0.016514
[99/5000][255/535][9889] Loss_D: -0.048440 Loss_G: 0.003651 Loss_D_real: -0.021273 Loss_D_fake 0.027167
[99/5000][260/535][9890] Loss_D: -0.046481 Loss_G: 0.036645 Loss_D_real: -0.033277 Loss_D_fake 0.013204
[99/5000][265/535][9891] Loss_D: -0.048960 Loss_G: 0.011454 Loss_D_real: -0.022656 Loss_D_fake 0.026304
[99/5000][270/535][9892] Loss_D: -0.050317 Loss_G: 0.040589 Loss_D_real: -0.042588 Loss_D_fake 0.007729
[99/5000][275/535][9893] Loss_D: -0.049474 Loss_G: 0.027922 Loss_D_real: -0.029687 Loss_D_fake 0.019787
[99/5000][280/535][9894] Loss_D: -0.050443 Loss_G: 0.038739 Loss_D_real: -0.037966 Loss_D_fake 0.012477
[99/5000][285/535][9895] Loss_D: -0.047966 Loss_G: 0.021747 Loss_D_real: -0.020226 Loss_D_fake 0.027740
[99/5000][290/535][9896] Loss_D: -0.048647 Loss_G: 0.021333 Loss_D_real: -0.029652 Loss_D_fake 0.018994
[99/5000][295/535][9897] Loss_D: -0.048145 Loss_G: 0.027645 Loss_D_real: -0.032701 Loss_D_fake 0.015444
[99/5000][300/535][9898] Loss_D: -0.046943 Loss_G: 0.056533 Loss_D_real: -0.051118 Loss_D_fake -0.004176
[99/5000][305/535][9899] Loss_D: -0.047865 Loss_G: -0.000518 Loss_D_real: -0.009105 Loss_D_fake 0.038760
[99/5000][310/535][9900] Loss_D: -0.045808 Loss_G: 0.029338 Loss_D_real: -0.037555 Loss_D_fake 0.008252
[99/5000][315/535][9901] Loss_D: -0.045491 Loss_G: 0.057379 Loss_D_real: -0.051973 Loss_D_fake -0.006482
[99/5000][320/535][9902] Loss_D: -0.046648 Loss_G: -0.002734 Loss_D_real: -0.001605 Loss_D_fake 0.045043
[99/5000][325/535][9903] Loss_D: -0.045651 Loss_G: 0.039533 Loss_D_real: -0.038641 Loss_D_fake 0.007010
[99/5000][330/535][9904] Loss_D: -0.048889 Loss_G: 0.015392 Loss_D_real: -0.023937 Loss_D_fake 0.024952
[99/5000][335/535][9905] Loss_D: -0.047305 Loss_G: 0.031200 Loss_D_real: -0.032336 Loss_D_fake 0.014969
[99/5000][340/535][9906] Loss_D: -0.048178 Loss_G: 0.025737 Loss_D_real: -0.025039 Loss_D_fake 0.023139
[99/5000][345/535][9907] Loss_D: -0.048661 Loss_G: 0.030695 Loss_D_real: -0.028894 Loss_D_fake 0.019767
[99/5000][350/535][9908] Loss_D: -0.051399 Loss_G: 0.049876 Loss_D_real: -0.039591 Loss_D_fake 0.011808
[99/5000][355/535][9909] Loss_D: -0.048277 Loss_G: 0.006238 Loss_D_real: -0.013896 Loss_D_fake 0.034381
[99/5000][360/535][9910] Loss_D: -0.047343 Loss_G: 0.048755 Loss_D_real: -0.045279 Loss_D_fake 0.002064
[99/5000][365/535][9911] Loss_D: -0.048547 Loss_G: 0.015011 Loss_D_real: -0.018770 Loss_D_fake 0.029778
[99/5000][370/535][9912] Loss_D: -0.049547 Loss_G: 0.017580 Loss_D_real: -0.027849 Loss_D_fake 0.021697
[99/5000][375/535][9913] Loss_D: -0.046184 Loss_G: 0.044815 Loss_D_real: -0.041662 Loss_D_fake 0.004522
[99/5000][380/535][9914] Loss_D: -0.049353 Loss_G: -0.000088 Loss_D_real: -0.018157 Loss_D_fake 0.031196
[99/5000][385/535][9915] Loss_D: -0.047389 Loss_G: 0.029636 Loss_D_real: -0.032107 Loss_D_fake 0.015282
[99/5000][390/535][9916] Loss_D: -0.049482 Loss_G: 0.041730 Loss_D_real: -0.041188 Loss_D_fake 0.008294
[99/5000][395/535][9917] Loss_D: -0.047986 Loss_G: 0.023163 Loss_D_real: -0.026368 Loss_D_fake 0.021618
[99/5000][400/535][9918] Loss_D: -0.044545 Loss_G: -0.017269 Loss_D_real: 0.004790 Loss_D_fake 0.049335
[99/5000][405/535][9919] Loss_D: -0.043849 Loss_G: 0.047757 Loss_D_real: -0.049956 Loss_D_fake -0.006107
[99/5000][410/535][9920] Loss_D: -0.050471 Loss_G: 0.014633 Loss_D_real: -0.022469 Loss_D_fake 0.028002
[99/5000][415/535][9921] Loss_D: -0.046504 Loss_G: 0.041211 Loss_D_real: -0.043972 Loss_D_fake 0.002533
[99/5000][420/535][9922] Loss_D: -0.049774 Loss_G: 0.007548 Loss_D_real: -0.018832 Loss_D_fake 0.030941
[99/5000][425/535][9923] Loss_D: -0.047682 Loss_G: 0.025796 Loss_D_real: -0.028307 Loss_D_fake 0.019374
[99/5000][430/535][9924] Loss_D: -0.046782 Loss_G: 0.056377 Loss_D_real: -0.049700 Loss_D_fake -0.002918
[99/5000][435/535][9925] Loss_D: -0.047171 Loss_G: 0.003973 Loss_D_real: -0.012073 Loss_D_fake 0.035098
[99/5000][440/535][9926] Loss_D: -0.044550 Loss_G: 0.051108 Loss_D_real: -0.048923 Loss_D_fake -0.004374
[99/5000][445/535][9927] Loss_D: -0.048267 Loss_G: 0.006070 Loss_D_real: -0.012612 Loss_D_fake 0.035655
[99/5000][450/535][9928] Loss_D: -0.050062 Loss_G: 0.025097 Loss_D_real: -0.031585 Loss_D_fake 0.018477
[99/5000][455/535][9929] Loss_D: -0.049352 Loss_G: 0.044137 Loss_D_real: -0.035374 Loss_D_fake 0.013979
[99/5000][460/535][9930] Loss_D: -0.049334 Loss_G: 0.013980 Loss_D_real: -0.019365 Loss_D_fake 0.029969
[99/5000][465/535][9931] Loss_D: -0.048762 Loss_G: 0.043858 Loss_D_real: -0.043815 Loss_D_fake 0.004948
[99/5000][470/535][9932] Loss_D: -0.046546 Loss_G: 0.005399 Loss_D_real: -0.013942 Loss_D_fake 0.032604
[99/5000][475/535][9933] Loss_D: -0.049258 Loss_G: 0.029558 Loss_D_real: -0.032683 Loss_D_fake 0.016575
[99/5000][480/535][9934] Loss_D: -0.048806 Loss_G: 0.036047 Loss_D_real: -0.035180 Loss_D_fake 0.013627
[99/5000][485/535][9935] Loss_D: -0.051125 Loss_G: 0.026286 Loss_D_real: -0.026884 Loss_D_fake 0.024241
[99/5000][490/535][9936] Loss_D: -0.047827 Loss_G: 0.048912 Loss_D_real: -0.049155 Loss_D_fake -0.001328
[99/5000][495/535][9937] Loss_D: -0.047422 Loss_G: -0.001054 Loss_D_real: -0.012802 Loss_D_fake 0.034620
[99/5000][500/535][9938] Loss_D: -0.049376 Loss_G: 0.035192 Loss_D_real: -0.034011 Loss_D_fake 0.015364
[99/5000][505/535][9939] Loss_D: -0.047566 Loss_G: 0.005928 Loss_D_real: -0.013974 Loss_D_fake 0.033592
[99/5000][510/535][9940] Loss_D: -0.045738 Loss_G: 0.046461 Loss_D_real: -0.045820 Loss_D_fake -0.000082
[99/5000][515/535][9941] Loss_D: -0.046333 Loss_G: -0.000669 Loss_D_real: -0.003907 Loss_D_fake 0.042426
[99/5000][520/535][9942] Loss_D: -0.046911 Loss_G: 0.037514 Loss_D_real: -0.047554 Loss_D_fake -0.000644
[99/5000][525/535][9943] Loss_D: -0.050531 Loss_G: 0.031801 Loss_D_real: -0.033395 Loss_D_fake 0.017136
[99/5000][530/535][9944] Loss_D: -0.049038 Loss_G: 0.028155 Loss_D_real: -0.028962 Loss_D_fake 0.020076
[99/5000][535/535][9945] Loss_D: -0.047567 Loss_G: 0.031965 Loss_D_real: -0.038842 Loss_D_fake 0.008725
[100/5000][5/535][9946] Loss_D: -0.048935 Loss_G: 0.015645 Loss_D_real: -0.019822 Loss_D_fake 0.029113
[100/5000][10/535][9947] Loss_D: -0.046218 Loss_G: 0.039523 Loss_D_real: -0.034848 Loss_D_fake 0.011370
[100/5000][15/535][9948] Loss_D: -0.048089 Loss_G: 0.002289 Loss_D_real: -0.013671 Loss_D_fake 0.034418
[100/5000][20/535][9949] Loss_D: -0.046286 Loss_G: 0.043629 Loss_D_real: -0.048082 Loss_D_fake -0.001797
[100/5000][25/535][9950] Loss_D: -0.047030 Loss_G: -0.001337 Loss_D_real: -0.014919 Loss_D_fake 0.032111
[100/5000][30/535][9951] Loss_D: -0.045587 Loss_G: 0.040071 Loss_D_real: -0.047537 Loss_D_fake -0.001950
[100/5000][35/535][9952] Loss_D: -0.046293 Loss_G: 0.008022 Loss_D_real: -0.012585 Loss_D_fake 0.033708
[100/5000][40/535][9953] Loss_D: -0.049482 Loss_G: 0.017647 Loss_D_real: -0.029199 Loss_D_fake 0.020282
[100/5000][45/535][9954] Loss_D: -0.045973 Loss_G: 0.056184 Loss_D_real: -0.051982 Loss_D_fake -0.006008
[100/5000][50/535][9955] Loss_D: -0.044882 Loss_G: -0.002267 Loss_D_real: -0.008226 Loss_D_fake 0.036656
[100/5000][55/535][9956] Loss_D: -0.044574 Loss_G: 0.031731 Loss_D_real: -0.029615 Loss_D_fake 0.014959
[100/5000][60/535][9957] Loss_D: -0.047895 Loss_G: 0.017371 Loss_D_real: -0.023229 Loss_D_fake 0.024666
[100/5000][65/535][9958] Loss_D: -0.045966 Loss_G: 0.051514 Loss_D_real: -0.044755 Loss_D_fake 0.001211
[100/5000][70/535][9959] Loss_D: -0.048350 Loss_G: 0.018589 Loss_D_real: -0.027897 Loss_D_fake 0.020453
[100/5000][75/535][9960] Loss_D: -0.047016 Loss_G: 0.049942 Loss_D_real: -0.045996 Loss_D_fake 0.001020
[100/5000][80/535][9961] Loss_D: -0.047744 Loss_G: 0.022241 Loss_D_real: -0.022199 Loss_D_fake 0.025545
[100/5000][85/535][9962] Loss_D: -0.049783 Loss_G: 0.030810 Loss_D_real: -0.033730 Loss_D_fake 0.016053
[100/5000][90/535][9963] Loss_D: -0.049473 Loss_G: 0.035823 Loss_D_real: -0.029977 Loss_D_fake 0.019497
[100/5000][95/535][9964] Loss_D: -0.047629 Loss_G: 0.045532 Loss_D_real: -0.039720 Loss_D_fake 0.007909
[100/5000][100/535][9965] Loss_D: -0.046571 Loss_G: 0.007247 Loss_D_real: -0.013100 Loss_D_fake 0.033471
[100/5000][105/535][9966] Loss_D: -0.047163 Loss_G: 0.044976 Loss_D_real: -0.035437 Loss_D_fake 0.011726
[100/5000][110/535][9967] Loss_D: -0.047896 Loss_G: 0.018282 Loss_D_real: -0.025368 Loss_D_fake 0.022528
[100/5000][115/535][9968] Loss_D: -0.046331 Loss_G: 0.047375 Loss_D_real: -0.044105 Loss_D_fake 0.002226
[100/5000][120/535][9969] Loss_D: -0.046113 Loss_G: -0.007084 Loss_D_real: -0.009146 Loss_D_fake 0.036967
[100/5000][125/535][9970] Loss_D: -0.043830 Loss_G: 0.031665 Loss_D_real: -0.041368 Loss_D_fake 0.002462
[100/5000][130/535][9971] Loss_D: -0.047124 Loss_G: 0.009405 Loss_D_real: -0.015757 Loss_D_fake 0.031367
[100/5000][135/535][9972] Loss_D: -0.047432 Loss_G: 0.036350 Loss_D_real: -0.035715 Loss_D_fake 0.011718
[100/5000][140/535][9973] Loss_D: -0.049047 Loss_G: 0.009652 Loss_D_real: -0.022265 Loss_D_fake 0.026782
[100/5000][145/535][9974] Loss_D: -0.047936 Loss_G: 0.025093 Loss_D_real: -0.032207 Loss_D_fake 0.015729
[100/5000][150/535][9975] Loss_D: -0.051857 Loss_G: 0.029262 Loss_D_real: -0.033784 Loss_D_fake 0.018073
[100/5000][155/535][9976] Loss_D: -0.052806 Loss_G: 0.039227 Loss_D_real: -0.035965 Loss_D_fake 0.016841
[100/5000][160/535][9977] Loss_D: -0.051478 Loss_G: 0.027798 Loss_D_real: -0.026514 Loss_D_fake 0.024964
[100/5000][165/535][9978] Loss_D: -0.051207 Loss_G: 0.034123 Loss_D_real: -0.035163 Loss_D_fake 0.016045
[100/5000][170/535][9979] Loss_D: -0.046550 Loss_G: 0.005256 Loss_D_real: -0.013513 Loss_D_fake 0.033037
[100/5000][175/535][9980] Loss_D: -0.047392 Loss_G: 0.046777 Loss_D_real: -0.040806 Loss_D_fake 0.006585
[100/5000][180/535][9981] Loss_D: -0.046987 Loss_G: 0.002513 Loss_D_real: -0.014579 Loss_D_fake 0.032408
[100/5000][185/535][9982] Loss_D: -0.047290 Loss_G: 0.033838 Loss_D_real: -0.039680 Loss_D_fake 0.007610
[100/5000][190/535][9983] Loss_D: -0.049781 Loss_G: 0.028267 Loss_D_real: -0.033412 Loss_D_fake 0.016370
[100/5000][195/535][9984] Loss_D: -0.049826 Loss_G: 0.018477 Loss_D_real: -0.027646 Loss_D_fake 0.022180
[100/5000][200/535][9985] Loss_D: -0.048221 Loss_G: 0.005793 Loss_D_real: -0.017458 Loss_D_fake 0.030763
[100/5000][205/535][9986] Loss_D: -0.045297 Loss_G: 0.051659 Loss_D_real: -0.051700 Loss_D_fake -0.006404
[100/5000][210/535][9987] Loss_D: -0.046855 Loss_G: 0.030330 Loss_D_real: -0.026697 Loss_D_fake 0.020158
[100/5000][215/535][9988] Loss_D: -0.048675 Loss_G: 0.008934 Loss_D_real: -0.017901 Loss_D_fake 0.030774
[100/5000][220/535][9989] Loss_D: -0.045652 Loss_G: 0.059298 Loss_D_real: -0.048565 Loss_D_fake -0.002913
[100/5000][225/535][9990] Loss_D: -0.047172 Loss_G: -0.003469 Loss_D_real: -0.008677 Loss_D_fake 0.038495
[100/5000][230/535][9991] Loss_D: -0.046500 Loss_G: 0.027190 Loss_D_real: -0.031973 Loss_D_fake 0.014527
[100/5000][235/535][9992] Loss_D: -0.047312 Loss_G: 0.035700 Loss_D_real: -0.039622 Loss_D_fake 0.007691
[100/5000][240/535][9993] Loss_D: -0.049250 Loss_G: 0.046854 Loss_D_real: -0.046305 Loss_D_fake 0.002945
[100/5000][245/535][9994] Loss_D: -0.049104 Loss_G: 0.007550 Loss_D_real: -0.014010 Loss_D_fake 0.035094
[100/5000][250/535][9995] Loss_D: -0.049503 Loss_G: 0.050957 Loss_D_real: -0.044690 Loss_D_fake 0.004813
[100/5000][255/535][9996] Loss_D: -0.049268 Loss_G: 0.023609 Loss_D_real: -0.025716 Loss_D_fake 0.023552
[100/5000][260/535][9997] Loss_D: -0.043826 Loss_G: 0.056350 Loss_D_real: -0.056413 Loss_D_fake -0.012587
[100/5000][265/535][9998] Loss_D: -0.047270 Loss_G: 0.023067 Loss_D_real: -0.026940 Loss_D_fake 0.020331
[100/5000][270/535][9999] Loss_D: -0.047983 Loss_G: 0.018912 Loss_D_real: -0.024776 Loss_D_fake 0.023207
[100/5000][275/535][10000] Loss_D: -0.048624 Loss_G: 0.023809 Loss_D_real: -0.023622 Loss_D_fake 0.025002
[100/5000][375/535][10001] Loss_D: -0.053357 Loss_G: 0.019131 Loss_D_real: -0.023310 Loss_D_fake 0.030047
[100/5000][380/535][10002] Loss_D: -0.051855 Loss_G: 0.034962 Loss_D_real: -0.033611 Loss_D_fake 0.018244
[100/5000][385/535][10003] Loss_D: -0.045381 Loss_G: 0.008302 Loss_D_real: -0.025468 Loss_D_fake 0.019913
[100/5000][390/535][10004] Loss_D: -0.046689 Loss_G: 0.036721 Loss_D_real: -0.043779 Loss_D_fake 0.002909
[100/5000][395/535][10005] Loss_D: -0.048887 Loss_G: 0.023436 Loss_D_real: -0.029694 Loss_D_fake 0.019193
[100/5000][400/535][10006] Loss_D: -0.045002 Loss_G: 0.032644 Loss_D_real: -0.035612 Loss_D_fake 0.009389
[100/5000][405/535][10007] Loss_D: -0.047838 Loss_G: 0.031635 Loss_D_real: -0.031241 Loss_D_fake 0.016597
[100/5000][410/535][10008] Loss_D: -0.049591 Loss_G: 0.033748 Loss_D_real: -0.034003 Loss_D_fake 0.015588
[100/5000][415/535][10009] Loss_D: -0.049367 Loss_G: 0.025667 Loss_D_real: -0.032212 Loss_D_fake 0.017155
[100/5000][420/535][10010] Loss_D: -0.045778 Loss_G: 0.039235 Loss_D_real: -0.037949 Loss_D_fake 0.007829
[100/5000][425/535][10011] Loss_D: -0.048149 Loss_G: 0.019392 Loss_D_real: -0.026333 Loss_D_fake 0.021816
[100/5000][430/535][10012] Loss_D: -0.050092 Loss_G: 0.036700 Loss_D_real: -0.035511 Loss_D_fake 0.014580
[100/5000][435/535][10013] Loss_D: -0.047688 Loss_G: 0.007575 Loss_D_real: -0.013937 Loss_D_fake 0.033751
[100/5000][440/535][10014] Loss_D: -0.045080 Loss_G: 0.046715 Loss_D_real: -0.050938 Loss_D_fake -0.005858
[100/5000][445/535][10015] Loss_D: -0.048334 Loss_G: 0.022014 Loss_D_real: -0.028232 Loss_D_fake 0.020102
[100/5000][450/535][10016] Loss_D: -0.047118 Loss_G: 0.011473 Loss_D_real: -0.016921 Loss_D_fake 0.030198
[100/5000][455/535][10017] Loss_D: -0.049071 Loss_G: 0.016054 Loss_D_real: -0.027078 Loss_D_fake 0.021994
[100/5000][460/535][10018] Loss_D: -0.046131 Loss_G: 0.036029 Loss_D_real: -0.031904 Loss_D_fake 0.014227
[100/5000][465/535][10019] Loss_D: -0.048275 Loss_G: 0.007819 Loss_D_real: -0.009409 Loss_D_fake 0.038866
[100/5000][470/535][10020] Loss_D: -0.045899 Loss_G: 0.033949 Loss_D_real: -0.035314 Loss_D_fake 0.010585
[100/5000][475/535][10021] Loss_D: -0.050192 Loss_G: 0.008833 Loss_D_real: -0.025230 Loss_D_fake 0.024961
[100/5000][480/535][10022] Loss_D: -0.049978 Loss_G: 0.044231 Loss_D_real: -0.037041 Loss_D_fake 0.012937
[100/5000][485/535][10023] Loss_D: -0.048894 Loss_G: 0.040682 Loss_D_real: -0.038288 Loss_D_fake 0.010606
[100/5000][490/535][10024] Loss_D: -0.049146 Loss_G: 0.044658 Loss_D_real: -0.043042 Loss_D_fake 0.006103
[100/5000][495/535][10025] Loss_D: -0.045348 Loss_G: 0.000688 Loss_D_real: -0.011251 Loss_D_fake 0.034096
[100/5000][500/535][10026] Loss_D: -0.044890 Loss_G: 0.040782 Loss_D_real: -0.039599 Loss_D_fake 0.005291
[100/5000][505/535][10027] Loss_D: -0.047440 Loss_G: 0.018311 Loss_D_real: -0.028471 Loss_D_fake 0.018969
[100/5000][510/535][10028] Loss_D: -0.050185 Loss_G: 0.019697 Loss_D_real: -0.026937 Loss_D_fake 0.023247
[100/5000][515/535][10029] Loss_D: -0.048543 Loss_G: 0.031640 Loss_D_real: -0.041914 Loss_D_fake 0.006629
[100/5000][520/535][10030] Loss_D: -0.049801 Loss_G: 0.031846 Loss_D_real: -0.034991 Loss_D_fake 0.014809
[100/5000][525/535][10031] Loss_D: -0.050372 Loss_G: 0.020892 Loss_D_real: -0.022327 Loss_D_fake 0.028045
[100/5000][530/535][10032] Loss_D: -0.048346 Loss_G: 0.028942 Loss_D_real: -0.030657 Loss_D_fake 0.017689
[100/5000][535/535][10033] Loss_D: -0.050896 Loss_G: 0.052252 Loss_D_real: -0.038743 Loss_D_fake 0.012154
[101/5000][5/535][10034] Loss_D: -0.046350 Loss_G: 0.005319 Loss_D_real: -0.011784 Loss_D_fake 0.034566
[101/5000][10/535][10035] Loss_D: -0.046117 Loss_G: 0.045359 Loss_D_real: -0.043344 Loss_D_fake 0.002774
[101/5000][15/535][10036] Loss_D: -0.047693 Loss_G: 0.008663 Loss_D_real: -0.015744 Loss_D_fake 0.031948
[101/5000][20/535][10037] Loss_D: -0.049652 Loss_G: 0.033227 Loss_D_real: -0.031852 Loss_D_fake 0.017800
[101/5000][25/535][10038] Loss_D: -0.048429 Loss_G: 0.017887 Loss_D_real: -0.020685 Loss_D_fake 0.027745
[101/5000][30/535][10039] Loss_D: -0.046284 Loss_G: 0.051296 Loss_D_real: -0.044010 Loss_D_fake 0.002275
[101/5000][35/535][10040] Loss_D: -0.048167 Loss_G: 0.001658 Loss_D_real: -0.014480 Loss_D_fake 0.033686
[101/5000][40/535][10041] Loss_D: -0.044671 Loss_G: 0.046249 Loss_D_real: -0.043180 Loss_D_fake 0.001491
[101/5000][45/535][10042] Loss_D: -0.047636 Loss_G: 0.012865 Loss_D_real: -0.019427 Loss_D_fake 0.028209
[101/5000][50/535][10043] Loss_D: -0.048458 Loss_G: 0.024274 Loss_D_real: -0.031672 Loss_D_fake 0.016786
[101/5000][55/535][10044] Loss_D: -0.045935 Loss_G: 0.037048 Loss_D_real: -0.036408 Loss_D_fake 0.009526
[101/5000][60/535][10045] Loss_D: -0.047193 Loss_G: 0.030885 Loss_D_real: -0.031715 Loss_D_fake 0.015479
[101/5000][65/535][10046] Loss_D: -0.046778 Loss_G: -0.003515 Loss_D_real: -0.009838 Loss_D_fake 0.036940
[101/5000][70/535][10047] Loss_D: -0.047445 Loss_G: 0.045166 Loss_D_real: -0.045077 Loss_D_fake 0.002368
[101/5000][75/535][10048] Loss_D: -0.045607 Loss_G: 0.003295 Loss_D_real: -0.014448 Loss_D_fake 0.031160
[101/5000][80/535][10049] Loss_D: -0.048417 Loss_G: 0.035157 Loss_D_real: -0.037061 Loss_D_fake 0.011356
[101/5000][85/535][10050] Loss_D: -0.046984 Loss_G: 0.012153 Loss_D_real: -0.021727 Loss_D_fake 0.025257
[101/5000][90/535][10051] Loss_D: -0.047882 Loss_G: 0.031345 Loss_D_real: -0.034213 Loss_D_fake 0.013669
[101/5000][95/535][10052] Loss_D: -0.046931 Loss_G: 0.028601 Loss_D_real: -0.029784 Loss_D_fake 0.017147
[101/5000][100/535][10053] Loss_D: -0.050217 Loss_G: 0.017844 Loss_D_real: -0.023035 Loss_D_fake 0.027181
[101/5000][105/535][10054] Loss_D: -0.047381 Loss_G: 0.011031 Loss_D_real: -0.020172 Loss_D_fake 0.027209
[101/5000][110/535][10055] Loss_D: -0.045175 Loss_G: 0.048296 Loss_D_real: -0.054593 Loss_D_fake -0.009417
[101/5000][115/535][10056] Loss_D: -0.044427 Loss_G: 0.001632 Loss_D_real: -0.011618 Loss_D_fake 0.032810
[101/5000][120/535][10057] Loss_D: -0.046084 Loss_G: 0.023290 Loss_D_real: -0.027293 Loss_D_fake 0.018790
[101/5000][125/535][10058] Loss_D: -0.046327 Loss_G: 0.018560 Loss_D_real: -0.020924 Loss_D_fake 0.025403
[101/5000][130/535][10059] Loss_D: -0.046095 Loss_G: 0.035479 Loss_D_real: -0.044066 Loss_D_fake 0.002029
[101/5000][135/535][10060] Loss_D: -0.048646 Loss_G: 0.031191 Loss_D_real: -0.038149 Loss_D_fake 0.010496
[101/5000][140/535][10061] Loss_D: -0.049067 Loss_G: 0.015732 Loss_D_real: -0.023142 Loss_D_fake 0.025925
[101/5000][145/535][10062] Loss_D: -0.047008 Loss_G: 0.047506 Loss_D_real: -0.053469 Loss_D_fake -0.006461
[101/5000][150/535][10063] Loss_D: -0.047481 Loss_G: 0.029668 Loss_D_real: -0.030975 Loss_D_fake 0.016506
[101/5000][155/535][10064] Loss_D: -0.048974 Loss_G: 0.022307 Loss_D_real: -0.026622 Loss_D_fake 0.022352
[101/5000][160/535][10065] Loss_D: -0.043805 Loss_G: 0.056583 Loss_D_real: -0.053799 Loss_D_fake -0.009994
[101/5000][165/535][10066] Loss_D: -0.046480 Loss_G: -0.001781 Loss_D_real: -0.009664 Loss_D_fake 0.036815
[101/5000][170/535][10067] Loss_D: -0.044435 Loss_G: 0.044554 Loss_D_real: -0.047817 Loss_D_fake -0.003382
[101/5000][175/535][10068] Loss_D: -0.046744 Loss_G: -0.002506 Loss_D_real: -0.008652 Loss_D_fake 0.038092
[101/5000][180/535][10069] Loss_D: -0.047421 Loss_G: 0.034771 Loss_D_real: -0.038226 Loss_D_fake 0.009195
[101/5000][185/535][10070] Loss_D: -0.048301 Loss_G: 0.036458 Loss_D_real: -0.035317 Loss_D_fake 0.012984
[101/5000][190/535][10071] Loss_D: -0.047674 Loss_G: 0.011216 Loss_D_real: -0.016374 Loss_D_fake 0.031301
[101/5000][195/535][10072] Loss_D: -0.047160 Loss_G: 0.052084 Loss_D_real: -0.047353 Loss_D_fake -0.000192
[101/5000][200/535][10073] Loss_D: -0.048674 Loss_G: 0.012422 Loss_D_real: -0.020950 Loss_D_fake 0.027724
[101/5000][205/535][10074] Loss_D: -0.046368 Loss_G: 0.039249 Loss_D_real: -0.040626 Loss_D_fake 0.005742
[101/5000][210/535][10075] Loss_D: -0.048286 Loss_G: 0.011725 Loss_D_real: -0.017042 Loss_D_fake 0.031244
[101/5000][215/535][10076] Loss_D: -0.049323 Loss_G: 0.045504 Loss_D_real: -0.047861 Loss_D_fake 0.001462
[101/5000][220/535][10077] Loss_D: -0.049764 Loss_G: -0.006434 Loss_D_real: -0.005489 Loss_D_fake 0.044275
[101/5000][225/535][10078] Loss_D: -0.044543 Loss_G: 0.049717 Loss_D_real: -0.054843 Loss_D_fake -0.010300
[101/5000][230/535][10079] Loss_D: -0.049075 Loss_G: 0.032778 Loss_D_real: -0.034742 Loss_D_fake 0.014333
[101/5000][235/535][10080] Loss_D: -0.050250 Loss_G: 0.039811 Loss_D_real: -0.036789 Loss_D_fake 0.013462
[101/5000][240/535][10081] Loss_D: -0.048694 Loss_G: -0.001286 Loss_D_real: -0.003858 Loss_D_fake 0.044837
[101/5000][245/535][10082] Loss_D: -0.045472 Loss_G: 0.035291 Loss_D_real: -0.039384 Loss_D_fake 0.006088
[101/5000][250/535][10083] Loss_D: -0.047285 Loss_G: 0.011917 Loss_D_real: -0.016986 Loss_D_fake 0.030299
[101/5000][255/535][10084] Loss_D: -0.048833 Loss_G: 0.029808 Loss_D_real: -0.031764 Loss_D_fake 0.017069
[101/5000][260/535][10085] Loss_D: -0.049284 Loss_G: 0.027387 Loss_D_real: -0.032121 Loss_D_fake 0.017163
[101/5000][265/535][10086] Loss_D: -0.048196 Loss_G: 0.047860 Loss_D_real: -0.039925 Loss_D_fake 0.008270
[101/5000][270/535][10087] Loss_D: -0.045593 Loss_G: -0.008964 Loss_D_real: -0.009087 Loss_D_fake 0.036506
[101/5000][275/535][10088] Loss_D: -0.047294 Loss_G: 0.024690 Loss_D_real: -0.032989 Loss_D_fake 0.014305
[101/5000][280/535][10089] Loss_D: -0.048535 Loss_G: 0.031497 Loss_D_real: -0.032468 Loss_D_fake 0.016067
[101/5000][285/535][10090] Loss_D: -0.049161 Loss_G: 0.015827 Loss_D_real: -0.015876 Loss_D_fake 0.033286
[101/5000][290/535][10091] Loss_D: -0.049715 Loss_G: 0.042666 Loss_D_real: -0.040973 Loss_D_fake 0.008742
[101/5000][295/535][10092] Loss_D: -0.051478 Loss_G: 0.021587 Loss_D_real: -0.033517 Loss_D_fake 0.017961
[101/5000][300/535][10093] Loss_D: -0.045637 Loss_G: 0.053782 Loss_D_real: -0.055204 Loss_D_fake -0.009567
[101/5000][305/535][10094] Loss_D: -0.046998 Loss_G: -0.005207 Loss_D_real: -0.005891 Loss_D_fake 0.041106
[101/5000][310/535][10095] Loss_D: -0.045975 Loss_G: 0.031215 Loss_D_real: -0.032365 Loss_D_fake 0.013609
[101/5000][315/535][10096] Loss_D: -0.047219 Loss_G: 0.039033 Loss_D_real: -0.040492 Loss_D_fake 0.006727
[101/5000][320/535][10097] Loss_D: -0.051152 Loss_G: 0.023961 Loss_D_real: -0.025323 Loss_D_fake 0.025830
[101/5000][325/535][10098] Loss_D: -0.048208 Loss_G: 0.038606 Loss_D_real: -0.041147 Loss_D_fake 0.007061
[101/5000][330/535][10099] Loss_D: -0.048700 Loss_G: 0.019298 Loss_D_real: -0.023790 Loss_D_fake 0.024910
[101/5000][335/535][10100] Loss_D: -0.051901 Loss_G: 0.021444 Loss_D_real: -0.031102 Loss_D_fake 0.020799
[101/5000][340/535][10101] Loss_D: -0.050952 Loss_G: 0.038201 Loss_D_real: -0.036786 Loss_D_fake 0.014166
[101/5000][345/535][10102] Loss_D: -0.048440 Loss_G: 0.007271 Loss_D_real: -0.017245 Loss_D_fake 0.031195
[101/5000][350/535][10103] Loss_D: -0.046306 Loss_G: 0.043013 Loss_D_real: -0.046708 Loss_D_fake -0.000402
[101/5000][355/535][10104] Loss_D: -0.046048 Loss_G: 0.007256 Loss_D_real: -0.018029 Loss_D_fake 0.028018
[101/5000][360/535][10105] Loss_D: -0.045746 Loss_G: 0.031539 Loss_D_real: -0.037203 Loss_D_fake 0.008543
[101/5000][365/535][10106] Loss_D: -0.048130 Loss_G: 0.047843 Loss_D_real: -0.044725 Loss_D_fake 0.003405
[101/5000][370/535][10107] Loss_D: -0.048891 Loss_G: 0.027285 Loss_D_real: -0.027630 Loss_D_fake 0.021261
[101/5000][375/535][10108] Loss_D: -0.047355 Loss_G: 0.057138 Loss_D_real: -0.054585 Loss_D_fake -0.007230
[101/5000][380/535][10109] Loss_D: -0.046375 Loss_G: -0.005951 Loss_D_real: -0.007682 Loss_D_fake 0.038693
[101/5000][385/535][10110] Loss_D: -0.046560 Loss_G: 0.029468 Loss_D_real: -0.035835 Loss_D_fake 0.010725
[101/5000][390/535][10111] Loss_D: -0.045385 Loss_G: 0.018119 Loss_D_real: -0.026558 Loss_D_fake 0.018827
[101/5000][395/535][10112] Loss_D: -0.046953 Loss_G: 0.041546 Loss_D_real: -0.045263 Loss_D_fake 0.001689
[101/5000][400/535][10113] Loss_D: -0.047024 Loss_G: 0.005610 Loss_D_real: -0.008913 Loss_D_fake 0.038111
[101/5000][405/535][10114] Loss_D: -0.044230 Loss_G: 0.032545 Loss_D_real: -0.037611 Loss_D_fake 0.006618
[101/5000][410/535][10115] Loss_D: -0.048149 Loss_G: 0.033375 Loss_D_real: -0.034346 Loss_D_fake 0.013802
[101/5000][415/535][10116] Loss_D: -0.051864 Loss_G: 0.025679 Loss_D_real: -0.027190 Loss_D_fake 0.024674
[101/5000][420/535][10117] Loss_D: -0.048099 Loss_G: 0.032166 Loss_D_real: -0.033227 Loss_D_fake 0.014872
[101/5000][425/535][10118] Loss_D: -0.048709 Loss_G: -0.000222 Loss_D_real: -0.012629 Loss_D_fake 0.036079
[101/5000][430/535][10119] Loss_D: -0.046703 Loss_G: 0.031627 Loss_D_real: -0.034895 Loss_D_fake 0.011808
[101/5000][435/535][10120] Loss_D: -0.047170 Loss_G: 0.026477 Loss_D_real: -0.032031 Loss_D_fake 0.015139
[101/5000][440/535][10121] Loss_D: -0.048413 Loss_G: 0.056087 Loss_D_real: -0.042228 Loss_D_fake 0.006185
[101/5000][445/535][10122] Loss_D: -0.045537 Loss_G: 0.008318 Loss_D_real: -0.008349 Loss_D_fake 0.037187
[101/5000][450/535][10123] Loss_D: -0.045927 Loss_G: 0.044120 Loss_D_real: -0.044051 Loss_D_fake 0.001876
[101/5000][455/535][10124] Loss_D: -0.045596 Loss_G: 0.012513 Loss_D_real: -0.015057 Loss_D_fake 0.030539
[101/5000][460/535][10125] Loss_D: -0.046635 Loss_G: 0.045822 Loss_D_real: -0.044660 Loss_D_fake 0.001976
[101/5000][465/535][10126] Loss_D: -0.046743 Loss_G: 0.019251 Loss_D_real: -0.023976 Loss_D_fake 0.022767
[101/5000][470/535][10127] Loss_D: -0.048066 Loss_G: 0.027207 Loss_D_real: -0.029131 Loss_D_fake 0.018935
[101/5000][475/535][10128] Loss_D: -0.046359 Loss_G: -0.008380 Loss_D_real: -0.013173 Loss_D_fake 0.033186
[101/5000][480/535][10129] Loss_D: -0.043313 Loss_G: 0.046753 Loss_D_real: -0.044041 Loss_D_fake -0.000729
[101/5000][485/535][10130] Loss_D: -0.048976 Loss_G: 0.012885 Loss_D_real: -0.023975 Loss_D_fake 0.025001
[101/5000][490/535][10131] Loss_D: -0.047090 Loss_G: 0.019327 Loss_D_real: -0.026414 Loss_D_fake 0.020677
[101/5000][495/535][10132] Loss_D: -0.046849 Loss_G: 0.054247 Loss_D_real: -0.048402 Loss_D_fake -0.001553
[101/5000][500/535][10133] Loss_D: -0.044383 Loss_G: -0.010707 Loss_D_real: -0.000748 Loss_D_fake 0.043634
[101/5000][505/535][10134] Loss_D: -0.044342 Loss_G: 0.037550 Loss_D_real: -0.040691 Loss_D_fake 0.003650
[101/5000][510/535][10135] Loss_D: -0.047070 Loss_G: 0.014490 Loss_D_real: -0.017880 Loss_D_fake 0.029190
[101/5000][515/535][10136] Loss_D: -0.047091 Loss_G: 0.034496 Loss_D_real: -0.030645 Loss_D_fake 0.016446
[101/5000][520/535][10137] Loss_D: -0.047114 Loss_G: 0.029432 Loss_D_real: -0.027700 Loss_D_fake 0.019414
[101/5000][525/535][10138] Loss_D: -0.050467 Loss_G: 0.032933 Loss_D_real: -0.038039 Loss_D_fake 0.012428
[101/5000][530/535][10139] Loss_D: -0.048799 Loss_G: 0.017356 Loss_D_real: -0.024589 Loss_D_fake 0.024210
[101/5000][535/535][10140] Loss_D: -0.050244 Loss_G: 0.022152 Loss_D_real: -0.044403 Loss_D_fake 0.005841
[102/5000][5/535][10141] Loss_D: -0.047808 Loss_G: -0.002010 Loss_D_real: -0.012939 Loss_D_fake 0.034869
[102/5000][10/535][10142] Loss_D: -0.046356 Loss_G: 0.040826 Loss_D_real: -0.036206 Loss_D_fake 0.010149
[102/5000][15/535][10143] Loss_D: -0.049070 Loss_G: 0.025034 Loss_D_real: -0.029538 Loss_D_fake 0.019532
[102/5000][20/535][10144] Loss_D: -0.048871 Loss_G: 0.052447 Loss_D_real: -0.046482 Loss_D_fake 0.002388
[102/5000][25/535][10145] Loss_D: -0.047791 Loss_G: -0.000515 Loss_D_real: -0.004844 Loss_D_fake 0.042947
[102/5000][30/535][10146] Loss_D: -0.043709 Loss_G: 0.042895 Loss_D_real: -0.043542 Loss_D_fake 0.000166
[102/5000][35/535][10147] Loss_D: -0.045050 Loss_G: 0.007579 Loss_D_real: -0.012279 Loss_D_fake 0.032770
[102/5000][40/535][10148] Loss_D: -0.048793 Loss_G: 0.039465 Loss_D_real: -0.037863 Loss_D_fake 0.010930
[102/5000][45/535][10149] Loss_D: -0.046707 Loss_G: -0.001341 Loss_D_real: -0.013860 Loss_D_fake 0.032847
[102/5000][50/535][10150] Loss_D: -0.048853 Loss_G: 0.043826 Loss_D_real: -0.046681 Loss_D_fake 0.002172
[102/5000][55/535][10151] Loss_D: -0.047786 Loss_G: 0.018623 Loss_D_real: -0.030330 Loss_D_fake 0.017456
[102/5000][60/535][10152] Loss_D: -0.050148 Loss_G: 0.024890 Loss_D_real: -0.029552 Loss_D_fake 0.020597
[102/5000][65/535][10153] Loss_D: -0.044658 Loss_G: 0.006731 Loss_D_real: -0.013380 Loss_D_fake 0.031278
[102/5000][70/535][10154] Loss_D: -0.048315 Loss_G: 0.039573 Loss_D_real: -0.041046 Loss_D_fake 0.007269
[102/5000][75/535][10155] Loss_D: -0.046742 Loss_G: -0.002542 Loss_D_real: -0.007606 Loss_D_fake 0.039136
[102/5000][80/535][10156] Loss_D: -0.048113 Loss_G: 0.037638 Loss_D_real: -0.039563 Loss_D_fake 0.008550
[102/5000][85/535][10157] Loss_D: -0.048567 Loss_G: 0.010665 Loss_D_real: -0.024167 Loss_D_fake 0.024400
[102/5000][90/535][10158] Loss_D: -0.047741 Loss_G: 0.045914 Loss_D_real: -0.046894 Loss_D_fake 0.000847
[102/5000][95/535][10159] Loss_D: -0.048791 Loss_G: 0.012888 Loss_D_real: -0.021992 Loss_D_fake 0.026799
[102/5000][100/535][10160] Loss_D: -0.046994 Loss_G: 0.024327 Loss_D_real: -0.031442 Loss_D_fake 0.015552
[102/5000][105/535][10161] Loss_D: -0.047001 Loss_G: 0.030768 Loss_D_real: -0.035632 Loss_D_fake 0.011368
[102/5000][110/535][10162] Loss_D: -0.046656 Loss_G: 0.001267 Loss_D_real: -0.008486 Loss_D_fake 0.038170
[102/5000][115/535][10163] Loss_D: -0.046610 Loss_G: 0.039618 Loss_D_real: -0.041950 Loss_D_fake 0.004660
[102/5000][120/535][10164] Loss_D: -0.046821 Loss_G: 0.023377 Loss_D_real: -0.030408 Loss_D_fake 0.016414
[102/5000][125/535][10165] Loss_D: -0.047355 Loss_G: 0.029393 Loss_D_real: -0.032183 Loss_D_fake 0.015172
[102/5000][130/535][10166] Loss_D: -0.046592 Loss_G: 0.010520 Loss_D_real: -0.016638 Loss_D_fake 0.029954
[102/5000][135/535][10167] Loss_D: -0.044741 Loss_G: 0.031769 Loss_D_real: -0.033591 Loss_D_fake 0.011151
[102/5000][140/535][10168] Loss_D: -0.047931 Loss_G: 0.026678 Loss_D_real: -0.020496 Loss_D_fake 0.027436
[102/5000][145/535][10169] Loss_D: -0.047324 Loss_G: 0.005413 Loss_D_real: -0.013680 Loss_D_fake 0.033645
[102/5000][150/535][10170] Loss_D: -0.045679 Loss_G: 0.040211 Loss_D_real: -0.040454 Loss_D_fake 0.005225
[102/5000][155/535][10171] Loss_D: -0.046759 Loss_G: 0.003619 Loss_D_real: -0.018036 Loss_D_fake 0.028723
[102/5000][160/535][10172] Loss_D: -0.045953 Loss_G: 0.036341 Loss_D_real: -0.036205 Loss_D_fake 0.009748
[102/5000][165/535][10173] Loss_D: -0.047041 Loss_G: 0.014069 Loss_D_real: -0.022755 Loss_D_fake 0.024286
[102/5000][170/535][10174] Loss_D: -0.049010 Loss_G: 0.036170 Loss_D_real: -0.036026 Loss_D_fake 0.012984
[102/5000][175/535][10175] Loss_D: -0.047914 Loss_G: 0.017829 Loss_D_real: -0.020545 Loss_D_fake 0.027369
[102/5000][180/535][10176] Loss_D: -0.048469 Loss_G: 0.050890 Loss_D_real: -0.046825 Loss_D_fake 0.001643
[102/5000][185/535][10177] Loss_D: -0.049681 Loss_G: 0.002804 Loss_D_real: -0.015792 Loss_D_fake 0.033889
[102/5000][190/535][10178] Loss_D: -0.045455 Loss_G: 0.054877 Loss_D_real: -0.052007 Loss_D_fake -0.006552
[102/5000][195/535][10179] Loss_D: -0.049577 Loss_G: -0.000152 Loss_D_real: -0.017187 Loss_D_fake 0.032390
[102/5000][200/535][10180] Loss_D: -0.046592 Loss_G: 0.047061 Loss_D_real: -0.051207 Loss_D_fake -0.004615
[102/5000][205/535][10181] Loss_D: -0.047371 Loss_G: -0.013258 Loss_D_real: -0.006995 Loss_D_fake 0.040376
[102/5000][210/535][10182] Loss_D: -0.046345 Loss_G: 0.035242 Loss_D_real: -0.034497 Loss_D_fake 0.011848
[102/5000][215/535][10183] Loss_D: -0.048058 Loss_G: 0.029454 Loss_D_real: -0.024400 Loss_D_fake 0.023659
[102/5000][220/535][10184] Loss_D: -0.050226 Loss_G: 0.025254 Loss_D_real: -0.029841 Loss_D_fake 0.020385
[102/5000][225/535][10185] Loss_D: -0.048936 Loss_G: 0.053517 Loss_D_real: -0.042742 Loss_D_fake 0.006194
[102/5000][230/535][10186] Loss_D: -0.047217 Loss_G: 0.016752 Loss_D_real: -0.016929 Loss_D_fake 0.030287
[102/5000][235/535][10187] Loss_D: -0.048011 Loss_G: 0.045525 Loss_D_real: -0.041742 Loss_D_fake 0.006269
[102/5000][240/535][10188] Loss_D: -0.047668 Loss_G: 0.000127 Loss_D_real: -0.009091 Loss_D_fake 0.038577
[102/5000][245/535][10189] Loss_D: -0.045102 Loss_G: 0.046280 Loss_D_real: -0.050371 Loss_D_fake -0.005269
[102/5000][250/535][10190] Loss_D: -0.048201 Loss_G: -0.001442 Loss_D_real: -0.012377 Loss_D_fake 0.035824
[102/5000][255/535][10191] Loss_D: -0.046862 Loss_G: 0.046007 Loss_D_real: -0.047257 Loss_D_fake -0.000395
[102/5000][260/535][10192] Loss_D: -0.046660 Loss_G: 0.018914 Loss_D_real: -0.018508 Loss_D_fake 0.028152
[102/5000][265/535][10193] Loss_D: -0.047523 Loss_G: 0.046806 Loss_D_real: -0.036664 Loss_D_fake 0.010859
[102/5000][270/535][10194] Loss_D: -0.048504 Loss_G: 0.024505 Loss_D_real: -0.031159 Loss_D_fake 0.017345
[102/5000][275/535][10195] Loss_D: -0.049190 Loss_G: 0.034937 Loss_D_real: -0.031642 Loss_D_fake 0.017548
[102/5000][280/535][10196] Loss_D: -0.047426 Loss_G: -0.004663 Loss_D_real: -0.011251 Loss_D_fake 0.036176
[102/5000][285/535][10197] Loss_D: -0.046629 Loss_G: 0.039658 Loss_D_real: -0.040932 Loss_D_fake 0.005697
[102/5000][290/535][10198] Loss_D: -0.049935 Loss_G: 0.028268 Loss_D_real: -0.033933 Loss_D_fake 0.016002
[102/5000][295/535][10199] Loss_D: -0.048640 Loss_G: 0.033438 Loss_D_real: -0.038585 Loss_D_fake 0.010055
[102/5000][300/535][10200] Loss_D: -0.049039 Loss_G: 0.048437 Loss_D_real: -0.047420 Loss_D_fake 0.001620
[102/5000][305/535][10201] Loss_D: -0.047698 Loss_G: 0.024894 Loss_D_real: -0.033009 Loss_D_fake 0.014689
[102/5000][310/535][10202] Loss_D: -0.047374 Loss_G: 0.048309 Loss_D_real: -0.046846 Loss_D_fake 0.000528
[102/5000][315/535][10203] Loss_D: -0.045751 Loss_G: -0.009125 Loss_D_real: 0.000112 Loss_D_fake 0.045863
[102/5000][320/535][10204] Loss_D: -0.043944 Loss_G: 0.032451 Loss_D_real: -0.036909 Loss_D_fake 0.007036
[102/5000][325/535][10205] Loss_D: -0.047440 Loss_G: 0.025645 Loss_D_real: -0.032193 Loss_D_fake 0.015247
[102/5000][330/535][10206] Loss_D: -0.047125 Loss_G: 0.043352 Loss_D_real: -0.046562 Loss_D_fake 0.000563
[102/5000][335/535][10207] Loss_D: -0.047574 Loss_G: 0.024057 Loss_D_real: -0.028270 Loss_D_fake 0.019304
[102/5000][340/535][10208] Loss_D: -0.049916 Loss_G: 0.015802 Loss_D_real: -0.025712 Loss_D_fake 0.024205
[102/5000][345/535][10209] Loss_D: -0.046192 Loss_G: 0.053889 Loss_D_real: -0.051711 Loss_D_fake -0.005518
[102/5000][350/535][10210] Loss_D: -0.047812 Loss_G: 0.000520 Loss_D_real: -0.018008 Loss_D_fake 0.029804
[102/5000][355/535][10211] Loss_D: -0.045950 Loss_G: 0.025628 Loss_D_real: -0.030215 Loss_D_fake 0.015735
[102/5000][360/535][10212] Loss_D: -0.048646 Loss_G: 0.037517 Loss_D_real: -0.037880 Loss_D_fake 0.010765
[102/5000][365/535][10213] Loss_D: -0.049100 Loss_G: 0.036151 Loss_D_real: -0.032149 Loss_D_fake 0.016951
[102/5000][370/535][10214] Loss_D: -0.048383 Loss_G: 0.032603 Loss_D_real: -0.028816 Loss_D_fake 0.019567
[102/5000][375/535][10215] Loss_D: -0.046072 Loss_G: 0.013638 Loss_D_real: -0.013922 Loss_D_fake 0.032150
[102/5000][380/535][10216] Loss_D: -0.043799 Loss_G: 0.050509 Loss_D_real: -0.055134 Loss_D_fake -0.011335
[102/5000][385/535][10217] Loss_D: -0.047540 Loss_G: 0.012755 Loss_D_real: -0.018737 Loss_D_fake 0.028803
[102/5000][390/535][10218] Loss_D: -0.047931 Loss_G: 0.024410 Loss_D_real: -0.025850 Loss_D_fake 0.022081
[102/5000][395/535][10219] Loss_D: -0.046930 Loss_G: 0.017078 Loss_D_real: -0.018735 Loss_D_fake 0.028195
[102/5000][400/535][10220] Loss_D: -0.048496 Loss_G: 0.012672 Loss_D_real: -0.025893 Loss_D_fake 0.022603
[102/5000][405/535][10221] Loss_D: -0.044274 Loss_G: 0.048761 Loss_D_real: -0.049906 Loss_D_fake -0.005632
[102/5000][410/535][10222] Loss_D: -0.044873 Loss_G: 0.009535 Loss_D_real: -0.011597 Loss_D_fake 0.033276
[102/5000][415/535][10223] Loss_D: -0.047358 Loss_G: 0.022658 Loss_D_real: -0.026113 Loss_D_fake 0.021246
[102/5000][420/535][10224] Loss_D: -0.047397 Loss_G: 0.016181 Loss_D_real: -0.023262 Loss_D_fake 0.024136
[102/5000][425/535][10225] Loss_D: -0.047693 Loss_G: 0.044012 Loss_D_real: -0.050536 Loss_D_fake -0.002844
[102/5000][430/535][10226] Loss_D: -0.046842 Loss_G: -0.005877 Loss_D_real: -0.007435 Loss_D_fake 0.039408
[102/5000][435/535][10227] Loss_D: -0.045893 Loss_G: 0.038728 Loss_D_real: -0.035840 Loss_D_fake 0.010053
[102/5000][440/535][10228] Loss_D: -0.044388 Loss_G: 0.010421 Loss_D_real: -0.013678 Loss_D_fake 0.030710
[102/5000][445/535][10229] Loss_D: -0.045697 Loss_G: 0.020011 Loss_D_real: -0.025260 Loss_D_fake 0.020437
[102/5000][450/535][10230] Loss_D: -0.048609 Loss_G: 0.021008 Loss_D_real: -0.027832 Loss_D_fake 0.020777
[102/5000][455/535][10231] Loss_D: -0.049344 Loss_G: 0.051639 Loss_D_real: -0.045445 Loss_D_fake 0.003899
[102/5000][460/535][10232] Loss_D: -0.047549 Loss_G: 0.007063 Loss_D_real: -0.015295 Loss_D_fake 0.032254
[102/5000][465/535][10233] Loss_D: -0.044604 Loss_G: 0.037603 Loss_D_real: -0.045204 Loss_D_fake -0.000600
[102/5000][470/535][10234] Loss_D: -0.048096 Loss_G: 0.023170 Loss_D_real: -0.027993 Loss_D_fake 0.020103
[102/5000][475/535][10235] Loss_D: -0.046534 Loss_G: 0.044618 Loss_D_real: -0.041520 Loss_D_fake 0.005014
[102/5000][480/535][10236] Loss_D: -0.048590 Loss_G: 0.015057 Loss_D_real: -0.021966 Loss_D_fake 0.026624
[102/5000][485/535][10237] Loss_D: -0.047183 Loss_G: 0.028002 Loss_D_real: -0.033324 Loss_D_fake 0.013858
[102/5000][490/535][10238] Loss_D: -0.045692 Loss_G: 0.059235 Loss_D_real: -0.050091 Loss_D_fake -0.004399
[102/5000][495/535][10239] Loss_D: -0.045066 Loss_G: 0.009318 Loss_D_real: -0.011148 Loss_D_fake 0.033918
[102/5000][500/535][10240] Loss_D: -0.045708 Loss_G: 0.048179 Loss_D_real: -0.046033 Loss_D_fake -0.000324
[102/5000][505/535][10241] Loss_D: -0.045217 Loss_G: -0.004104 Loss_D_real: -0.005907 Loss_D_fake 0.039310
[102/5000][510/535][10242] Loss_D: -0.047007 Loss_G: 0.041506 Loss_D_real: -0.047146 Loss_D_fake -0.000139
[102/5000][515/535][10243] Loss_D: -0.048183 Loss_G: 0.033520 Loss_D_real: -0.028078 Loss_D_fake 0.020105
[102/5000][520/535][10244] Loss_D: -0.049785 Loss_G: 0.029262 Loss_D_real: -0.028154 Loss_D_fake 0.021631
[102/5000][525/535][10245] Loss_D: -0.048798 Loss_G: 0.015859 Loss_D_real: -0.025771 Loss_D_fake 0.023027
[102/5000][530/535][10246] Loss_D: -0.045627 Loss_G: 0.051159 Loss_D_real: -0.042509 Loss_D_fake 0.003119
[102/5000][535/535][10247] Loss_D: -0.047781 Loss_G: -0.006471 Loss_D_real: -0.008051 Loss_D_fake 0.039730
[103/5000][5/535][10248] Loss_D: -0.043697 Loss_G: 0.036480 Loss_D_real: -0.041921 Loss_D_fake 0.001776
[103/5000][10/535][10249] Loss_D: -0.047893 Loss_G: 0.015585 Loss_D_real: -0.025716 Loss_D_fake 0.022177
[103/5000][15/535][10250] Loss_D: -0.049100 Loss_G: 0.020037 Loss_D_real: -0.030069 Loss_D_fake 0.019031
[103/5000][20/535][10251] Loss_D: -0.046750 Loss_G: 0.010767 Loss_D_real: -0.018998 Loss_D_fake 0.027751
[103/5000][25/535][10252] Loss_D: -0.048035 Loss_G: 0.013150 Loss_D_real: -0.025307 Loss_D_fake 0.022728
[103/5000][30/535][10253] Loss_D: -0.048658 Loss_G: 0.029996 Loss_D_real: -0.033004 Loss_D_fake 0.015653
[103/5000][35/535][10254] Loss_D: -0.049057 Loss_G: 0.034571 Loss_D_real: -0.035451 Loss_D_fake 0.013606
[103/5000][40/535][10255] Loss_D: -0.048310 Loss_G: 0.029144 Loss_D_real: -0.030667 Loss_D_fake 0.017643
[103/5000][45/535][10256] Loss_D: -0.047399 Loss_G: 0.050610 Loss_D_real: -0.044444 Loss_D_fake 0.002954
[103/5000][50/535][10257] Loss_D: -0.043405 Loss_G: 0.001825 Loss_D_real: -0.013717 Loss_D_fake 0.029689
[103/5000][55/535][10258] Loss_D: -0.044432 Loss_G: 0.053419 Loss_D_real: -0.046375 Loss_D_fake -0.001943
[103/5000][60/535][10259] Loss_D: -0.048128 Loss_G: 0.013516 Loss_D_real: -0.026434 Loss_D_fake 0.021694
[103/5000][65/535][10260] Loss_D: -0.045891 Loss_G: 0.022319 Loss_D_real: -0.033206 Loss_D_fake 0.012685
[103/5000][70/535][10261] Loss_D: -0.048276 Loss_G: 0.036631 Loss_D_real: -0.034263 Loss_D_fake 0.014014
[103/5000][75/535][10262] Loss_D: -0.047466 Loss_G: 0.028092 Loss_D_real: -0.031152 Loss_D_fake 0.016315
[103/5000][80/535][10263] Loss_D: -0.047118 Loss_G: 0.043020 Loss_D_real: -0.037659 Loss_D_fake 0.009459
[103/5000][85/535][10264] Loss_D: -0.049341 Loss_G: 0.010472 Loss_D_real: -0.020860 Loss_D_fake 0.028481
[103/5000][90/535][10265] Loss_D: -0.043500 Loss_G: 0.059098 Loss_D_real: -0.050271 Loss_D_fake -0.006770
[103/5000][95/535][10266] Loss_D: -0.045017 Loss_G: 0.005782 Loss_D_real: -0.012307 Loss_D_fake 0.032710
[103/5000][100/535][10267] Loss_D: -0.045806 Loss_G: 0.031734 Loss_D_real: -0.037177 Loss_D_fake 0.008629
[103/5000][105/535][10268] Loss_D: -0.050017 Loss_G: 0.026112 Loss_D_real: -0.030790 Loss_D_fake 0.019227
[103/5000][110/535][10269] Loss_D: -0.047838 Loss_G: 0.042338 Loss_D_real: -0.044007 Loss_D_fake 0.003830
[103/5000][115/535][10270] Loss_D: -0.048326 Loss_G: 0.004807 Loss_D_real: -0.015242 Loss_D_fake 0.033084
[103/5000][120/535][10271] Loss_D: -0.045441 Loss_G: 0.050538 Loss_D_real: -0.047128 Loss_D_fake -0.001687
[103/5000][125/535][10272] Loss_D: -0.048618 Loss_G: 0.010045 Loss_D_real: -0.020161 Loss_D_fake 0.028457
[103/5000][130/535][10273] Loss_D: -0.045793 Loss_G: 0.049016 Loss_D_real: -0.050093 Loss_D_fake -0.004300
[103/5000][135/535][10274] Loss_D: -0.046145 Loss_G: 0.017278 Loss_D_real: -0.024608 Loss_D_fake 0.021537
[103/5000][140/535][10275] Loss_D: -0.046965 Loss_G: 0.032635 Loss_D_real: -0.032784 Loss_D_fake 0.014181
[103/5000][145/535][10276] Loss_D: -0.050066 Loss_G: 0.032119 Loss_D_real: -0.038491 Loss_D_fake 0.011575
[103/5000][150/535][10277] Loss_D: -0.048656 Loss_G: 0.013848 Loss_D_real: -0.021652 Loss_D_fake 0.027005
[103/5000][155/535][10278] Loss_D: -0.048499 Loss_G: 0.046858 Loss_D_real: -0.040817 Loss_D_fake 0.007683
[103/5000][160/535][10279] Loss_D: -0.047948 Loss_G: 0.020526 Loss_D_real: -0.025476 Loss_D_fake 0.022473
[103/5000][165/535][10280] Loss_D: -0.046759 Loss_G: 0.037425 Loss_D_real: -0.037131 Loss_D_fake 0.009628
[103/5000][170/535][10281] Loss_D: -0.050261 Loss_G: 0.021932 Loss_D_real: -0.027162 Loss_D_fake 0.023099
[103/5000][175/535][10282] Loss_D: -0.048642 Loss_G: 0.045634 Loss_D_real: -0.046023 Loss_D_fake 0.002620
[103/5000][180/535][10283] Loss_D: -0.047240 Loss_G: 0.042583 Loss_D_real: -0.040575 Loss_D_fake 0.006665
[103/5000][185/535][10284] Loss_D: -0.048573 Loss_G: 0.010439 Loss_D_real: -0.015670 Loss_D_fake 0.032903
[103/5000][190/535][10285] Loss_D: -0.047348 Loss_G: 0.040769 Loss_D_real: -0.039684 Loss_D_fake 0.007665
[103/5000][195/535][10286] Loss_D: -0.047761 Loss_G: 0.044867 Loss_D_real: -0.041179 Loss_D_fake 0.006581
[103/5000][200/535][10287] Loss_D: -0.050390 Loss_G: 0.004154 Loss_D_real: -0.019139 Loss_D_fake 0.031251
[103/5000][205/535][10288] Loss_D: -0.045884 Loss_G: 0.046033 Loss_D_real: -0.045699 Loss_D_fake 0.000186
[103/5000][210/535][10289] Loss_D: -0.045747 Loss_G: -0.002541 Loss_D_real: -0.009724 Loss_D_fake 0.036022
[103/5000][215/535][10290] Loss_D: -0.044597 Loss_G: 0.036903 Loss_D_real: -0.033386 Loss_D_fake 0.011211
[103/5000][220/535][10291] Loss_D: -0.047124 Loss_G: -0.006652 Loss_D_real: -0.012077 Loss_D_fake 0.035047
[103/5000][225/535][10292] Loss_D: -0.045890 Loss_G: 0.034591 Loss_D_real: -0.035880 Loss_D_fake 0.010010
[103/5000][230/535][10293] Loss_D: -0.046869 Loss_G: 0.017699 Loss_D_real: -0.024848 Loss_D_fake 0.022021
[103/5000][235/535][10294] Loss_D: -0.047199 Loss_G: 0.038955 Loss_D_real: -0.035783 Loss_D_fake 0.011417
[103/5000][240/535][10295] Loss_D: -0.049149 Loss_G: 0.018010 Loss_D_real: -0.026390 Loss_D_fake 0.022759
[103/5000][245/535][10296] Loss_D: -0.047459 Loss_G: 0.030755 Loss_D_real: -0.032527 Loss_D_fake 0.014932
[103/5000][250/535][10297] Loss_D: -0.049878 Loss_G: 0.020057 Loss_D_real: -0.022086 Loss_D_fake 0.027792
[103/5000][255/535][10298] Loss_D: -0.046001 Loss_G: 0.037628 Loss_D_real: -0.033953 Loss_D_fake 0.012049
[103/5000][260/535][10299] Loss_D: -0.050107 Loss_G: 0.015530 Loss_D_real: -0.031900 Loss_D_fake 0.018207
[103/5000][265/535][10300] Loss_D: -0.047530 Loss_G: 0.044764 Loss_D_real: -0.047802 Loss_D_fake -0.000272
[103/5000][270/535][10301] Loss_D: -0.045303 Loss_G: -0.009656 Loss_D_real: 0.000450 Loss_D_fake 0.045753
[103/5000][275/535][10302] Loss_D: -0.046109 Loss_G: 0.036027 Loss_D_real: -0.043820 Loss_D_fake 0.002289
[103/5000][280/535][10303] Loss_D: -0.047942 Loss_G: 0.023947 Loss_D_real: -0.025273 Loss_D_fake 0.022668
[103/5000][285/535][10304] Loss_D: -0.048811 Loss_G: 0.026791 Loss_D_real: -0.025850 Loss_D_fake 0.022961
[103/5000][290/535][10305] Loss_D: -0.049335 Loss_G: 0.005638 Loss_D_real: -0.014550 Loss_D_fake 0.034785
[103/5000][295/535][10306] Loss_D: -0.047302 Loss_G: 0.048904 Loss_D_real: -0.051573 Loss_D_fake -0.004271
[103/5000][300/535][10307] Loss_D: -0.048203 Loss_G: 0.041497 Loss_D_real: -0.039113 Loss_D_fake 0.009090
[103/5000][305/535][10308] Loss_D: -0.048030 Loss_G: 0.014187 Loss_D_real: -0.028195 Loss_D_fake 0.019835
[103/5000][310/535][10309] Loss_D: -0.045160 Loss_G: 0.047706 Loss_D_real: -0.045576 Loss_D_fake -0.000416
[103/5000][315/535][10310] Loss_D: -0.047679 Loss_G: 0.010023 Loss_D_real: -0.017130 Loss_D_fake 0.030549
[103/5000][320/535][10311] Loss_D: -0.044337 Loss_G: 0.036211 Loss_D_real: -0.040446 Loss_D_fake 0.003891
[103/5000][325/535][10312] Loss_D: -0.047912 Loss_G: 0.017431 Loss_D_real: -0.019908 Loss_D_fake 0.028004
[103/5000][330/535][10313] Loss_D: -0.049160 Loss_G: 0.036957 Loss_D_real: -0.033257 Loss_D_fake 0.015903
[103/5000][335/535][10314] Loss_D: -0.050395 Loss_G: 0.021489 Loss_D_real: -0.028262 Loss_D_fake 0.022133
[103/5000][340/535][10315] Loss_D: -0.050201 Loss_G: 0.052404 Loss_D_real: -0.041628 Loss_D_fake 0.008573
[103/5000][345/535][10316] Loss_D: -0.046992 Loss_G: 0.020811 Loss_D_real: -0.023591 Loss_D_fake 0.023401
[103/5000][350/535][10317] Loss_D: -0.048309 Loss_G: 0.013563 Loss_D_real: -0.021974 Loss_D_fake 0.026335
[103/5000][355/535][10318] Loss_D: -0.046581 Loss_G: 0.052790 Loss_D_real: -0.054207 Loss_D_fake -0.007626
[103/5000][360/535][10319] Loss_D: -0.047003 Loss_G: -0.003764 Loss_D_real: -0.006659 Loss_D_fake 0.040343
[103/5000][365/535][10320] Loss_D: -0.044115 Loss_G: 0.044450 Loss_D_real: -0.049982 Loss_D_fake -0.005867
[103/5000][370/535][10321] Loss_D: -0.047557 Loss_G: 0.013232 Loss_D_real: -0.023159 Loss_D_fake 0.024398
[103/5000][375/535][10322] Loss_D: -0.046939 Loss_G: 0.027104 Loss_D_real: -0.030711 Loss_D_fake 0.016227
[103/5000][380/535][10323] Loss_D: -0.050114 Loss_G: 0.022741 Loss_D_real: -0.029159 Loss_D_fake 0.020955
[103/5000][385/535][10324] Loss_D: -0.047721 Loss_G: 0.001020 Loss_D_real: -0.015928 Loss_D_fake 0.031793
[103/5000][390/535][10325] Loss_D: -0.047689 Loss_G: 0.039931 Loss_D_real: -0.036985 Loss_D_fake 0.010705
[103/5000][395/535][10326] Loss_D: -0.049153 Loss_G: 0.029693 Loss_D_real: -0.025028 Loss_D_fake 0.024126
[103/5000][400/535][10327] Loss_D: -0.048316 Loss_G: 0.019593 Loss_D_real: -0.023782 Loss_D_fake 0.024534
[103/5000][405/535][10328] Loss_D: -0.047887 Loss_G: -0.006059 Loss_D_real: -0.012015 Loss_D_fake 0.035873
[103/5000][410/535][10329] Loss_D: -0.043863 Loss_G: 0.047206 Loss_D_real: -0.038947 Loss_D_fake 0.004916
[103/5000][415/535][10330] Loss_D: -0.045765 Loss_G: 0.026997 Loss_D_real: -0.028991 Loss_D_fake 0.016773
[103/5000][420/535][10331] Loss_D: -0.047414 Loss_G: 0.013343 Loss_D_real: -0.021414 Loss_D_fake 0.026000
[103/5000][425/535][10332] Loss_D: -0.047338 Loss_G: 0.031180 Loss_D_real: -0.038369 Loss_D_fake 0.008969
[103/5000][430/535][10333] Loss_D: -0.047832 Loss_G: 0.033990 Loss_D_real: -0.036392 Loss_D_fake 0.011439
[103/5000][435/535][10334] Loss_D: -0.047699 Loss_G: 0.045608 Loss_D_real: -0.039835 Loss_D_fake 0.007865
[103/5000][440/535][10335] Loss_D: -0.046279 Loss_G: 0.002641 Loss_D_real: -0.011917 Loss_D_fake 0.034363
[103/5000][445/535][10336] Loss_D: -0.043875 Loss_G: 0.046678 Loss_D_real: -0.051822 Loss_D_fake -0.007947
[103/5000][450/535][10337] Loss_D: -0.045520 Loss_G: 0.001881 Loss_D_real: -0.007408 Loss_D_fake 0.038112
[103/5000][455/535][10338] Loss_D: -0.045917 Loss_G: 0.036928 Loss_D_real: -0.041725 Loss_D_fake 0.004192
[103/5000][460/535][10339] Loss_D: -0.048978 Loss_G: 0.031432 Loss_D_real: -0.027511 Loss_D_fake 0.021467
[103/5000][465/535][10340] Loss_D: -0.048663 Loss_G: 0.029956 Loss_D_real: -0.038116 Loss_D_fake 0.010548
[103/5000][470/535][10341] Loss_D: -0.047099 Loss_G: 0.008431 Loss_D_real: -0.018427 Loss_D_fake 0.028672
[103/5000][475/535][10342] Loss_D: -0.044984 Loss_G: 0.051488 Loss_D_real: -0.051250 Loss_D_fake -0.006267
[103/5000][480/535][10343] Loss_D: -0.047341 Loss_G: 0.006360 Loss_D_real: -0.012738 Loss_D_fake 0.034604
[103/5000][485/535][10344] Loss_D: -0.048490 Loss_G: 0.029351 Loss_D_real: -0.033032 Loss_D_fake 0.015458
[103/5000][490/535][10345] Loss_D: -0.046783 Loss_G: 0.024171 Loss_D_real: -0.026599 Loss_D_fake 0.020183
[103/5000][495/535][10346] Loss_D: -0.050386 Loss_G: 0.020993 Loss_D_real: -0.024778 Loss_D_fake 0.025608
[103/5000][500/535][10347] Loss_D: -0.047974 Loss_G: 0.020636 Loss_D_real: -0.032200 Loss_D_fake 0.015774
[103/5000][505/535][10348] Loss_D: -0.049666 Loss_G: 0.020234 Loss_D_real: -0.021991 Loss_D_fake 0.027674
[103/5000][510/535][10349] Loss_D: -0.049438 Loss_G: 0.018198 Loss_D_real: -0.025656 Loss_D_fake 0.023782
[103/5000][515/535][10350] Loss_D: -0.047430 Loss_G: 0.037080 Loss_D_real: -0.042622 Loss_D_fake 0.004808
[103/5000][520/535][10351] Loss_D: -0.048149 Loss_G: 0.009289 Loss_D_real: -0.019386 Loss_D_fake 0.028764
[103/5000][525/535][10352] Loss_D: -0.046912 Loss_G: 0.041045 Loss_D_real: -0.043894 Loss_D_fake 0.003017
[103/5000][530/535][10353] Loss_D: -0.048196 Loss_G: -0.004391 Loss_D_real: -0.014666 Loss_D_fake 0.033530
[103/5000][535/535][10354] Loss_D: -0.042578 Loss_G: 0.026130 Loss_D_real: -0.039395 Loss_D_fake 0.003183
[104/5000][5/535][10355] Loss_D: -0.046256 Loss_G: 0.013545 Loss_D_real: -0.019559 Loss_D_fake 0.026698
[104/5000][10/535][10356] Loss_D: -0.048952 Loss_G: 0.030864 Loss_D_real: -0.039388 Loss_D_fake 0.009565
[104/5000][15/535][10357] Loss_D: -0.049312 Loss_G: 0.036256 Loss_D_real: -0.040880 Loss_D_fake 0.008431
[104/5000][20/535][10358] Loss_D: -0.049843 Loss_G: 0.046871 Loss_D_real: -0.044322 Loss_D_fake 0.005521
[104/5000][25/535][10359] Loss_D: -0.046210 Loss_G: -0.010209 Loss_D_real: -0.001135 Loss_D_fake 0.045075
[104/5000][30/535][10360] Loss_D: -0.043694 Loss_G: 0.033462 Loss_D_real: -0.035262 Loss_D_fake 0.008432
[104/5000][35/535][10361] Loss_D: -0.044393 Loss_G: 0.008760 Loss_D_real: -0.010978 Loss_D_fake 0.033415
[104/5000][40/535][10362] Loss_D: -0.045410 Loss_G: 0.030782 Loss_D_real: -0.037062 Loss_D_fake 0.008348
[104/5000][45/535][10363] Loss_D: -0.046317 Loss_G: 0.011976 Loss_D_real: -0.020182 Loss_D_fake 0.026135
[104/5000][50/535][10364] Loss_D: -0.044807 Loss_G: 0.030362 Loss_D_real: -0.028585 Loss_D_fake 0.016222
[104/5000][55/535][10365] Loss_D: -0.047200 Loss_G: 0.005293 Loss_D_real: -0.012610 Loss_D_fake 0.034590
[104/5000][60/535][10366] Loss_D: -0.046864 Loss_G: 0.018661 Loss_D_real: -0.029491 Loss_D_fake 0.017373
[104/5000][65/535][10367] Loss_D: -0.044558 Loss_G: 0.021463 Loss_D_real: -0.018618 Loss_D_fake 0.025940
[104/5000][70/535][10368] Loss_D: -0.044833 Loss_G: 0.033070 Loss_D_real: -0.037743 Loss_D_fake 0.007090
[104/5000][75/535][10369] Loss_D: -0.047720 Loss_G: 0.014947 Loss_D_real: -0.029436 Loss_D_fake 0.018285
[104/5000][80/535][10370] Loss_D: -0.045276 Loss_G: 0.044807 Loss_D_real: -0.045630 Loss_D_fake -0.000354
[104/5000][85/535][10371] Loss_D: -0.047019 Loss_G: 0.017490 Loss_D_real: -0.017482 Loss_D_fake 0.029537
[104/5000][90/535][10372] Loss_D: -0.047506 Loss_G: 0.034955 Loss_D_real: -0.041566 Loss_D_fake 0.005940
[104/5000][95/535][10373] Loss_D: -0.044806 Loss_G: 0.013902 Loss_D_real: -0.019020 Loss_D_fake 0.025786
[104/5000][100/535][10374] Loss_D: -0.046815 Loss_G: 0.029596 Loss_D_real: -0.036272 Loss_D_fake 0.010543
[104/5000][105/535][10375] Loss_D: -0.047044 Loss_G: 0.015923 Loss_D_real: -0.025291 Loss_D_fake 0.021753
[104/5000][110/535][10376] Loss_D: -0.046245 Loss_G: 0.047735 Loss_D_real: -0.049558 Loss_D_fake -0.003313
[104/5000][115/535][10377] Loss_D: -0.048712 Loss_G: 0.033151 Loss_D_real: -0.031017 Loss_D_fake 0.017695
[104/5000][120/535][10378] Loss_D: -0.047373 Loss_G: 0.036720 Loss_D_real: -0.035642 Loss_D_fake 0.011731
[104/5000][125/535][10379] Loss_D: -0.047505 Loss_G: 0.037633 Loss_D_real: -0.034679 Loss_D_fake 0.012826
[104/5000][130/535][10380] Loss_D: -0.047015 Loss_G: 0.047800 Loss_D_real: -0.044578 Loss_D_fake 0.002437
[104/5000][135/535][10381] Loss_D: -0.048851 Loss_G: 0.017625 Loss_D_real: -0.021355 Loss_D_fake 0.027495
[104/5000][140/535][10382] Loss_D: -0.044468 Loss_G: 0.044596 Loss_D_real: -0.043457 Loss_D_fake 0.001011
[104/5000][145/535][10383] Loss_D: -0.047574 Loss_G: 0.023240 Loss_D_real: -0.022517 Loss_D_fake 0.025057
[104/5000][150/535][10384] Loss_D: -0.048644 Loss_G: 0.038805 Loss_D_real: -0.041383 Loss_D_fake 0.007261
[104/5000][155/535][10385] Loss_D: -0.047413 Loss_G: 0.054315 Loss_D_real: -0.051322 Loss_D_fake -0.003909
[104/5000][160/535][10386] Loss_D: -0.045883 Loss_G: 0.001726 Loss_D_real: -0.009163 Loss_D_fake 0.036721
[104/5000][165/535][10387] Loss_D: -0.045519 Loss_G: 0.052503 Loss_D_real: -0.051062 Loss_D_fake -0.005543
[104/5000][170/535][10388] Loss_D: -0.047008 Loss_G: 0.006669 Loss_D_real: -0.019018 Loss_D_fake 0.027989
[104/5000][175/535][10389] Loss_D: -0.046450 Loss_G: 0.046376 Loss_D_real: -0.045299 Loss_D_fake 0.001151
[104/5000][180/535][10390] Loss_D: -0.047594 Loss_G: 0.006696 Loss_D_real: -0.015095 Loss_D_fake 0.032499
[104/5000][185/535][10391] Loss_D: -0.048943 Loss_G: 0.025794 Loss_D_real: -0.031311 Loss_D_fake 0.017632
[104/5000][190/535][10392] Loss_D: -0.048287 Loss_G: 0.019543 Loss_D_real: -0.024204 Loss_D_fake 0.024083
[104/5000][195/535][10393] Loss_D: -0.044209 Loss_G: -0.011554 Loss_D_real: 0.000117 Loss_D_fake 0.044326
[104/5000][200/535][10394] Loss_D: -0.044938 Loss_G: 0.040620 Loss_D_real: -0.044864 Loss_D_fake 0.000075
[104/5000][205/535][10395] Loss_D: -0.048141 Loss_G: -0.001862 Loss_D_real: -0.008335 Loss_D_fake 0.039806
[104/5000][210/535][10396] Loss_D: -0.047981 Loss_G: 0.036439 Loss_D_real: -0.041212 Loss_D_fake 0.006769
[104/5000][215/535][10397] Loss_D: -0.050007 Loss_G: 0.038507 Loss_D_real: -0.037414 Loss_D_fake 0.012592
[104/5000][220/535][10398] Loss_D: -0.048632 Loss_G: 0.013456 Loss_D_real: -0.015323 Loss_D_fake 0.033309
[104/5000][225/535][10399] Loss_D: -0.048338 Loss_G: 0.033210 Loss_D_real: -0.031785 Loss_D_fake 0.016553
[104/5000][230/535][10400] Loss_D: -0.048639 Loss_G: 0.047125 Loss_D_real: -0.045666 Loss_D_fake 0.002973
[104/5000][235/535][10401] Loss_D: -0.048602 Loss_G: 0.033417 Loss_D_real: -0.031080 Loss_D_fake 0.017522
[104/5000][240/535][10402] Loss_D: -0.049346 Loss_G: 0.026653 Loss_D_real: -0.026282 Loss_D_fake 0.023064
[104/5000][245/535][10403] Loss_D: -0.050354 Loss_G: 0.023952 Loss_D_real: -0.029121 Loss_D_fake 0.021234
[104/5000][250/535][10404] Loss_D: -0.045957 Loss_G: 0.031029 Loss_D_real: -0.030373 Loss_D_fake 0.015585
[104/5000][255/535][10405] Loss_D: -0.048644 Loss_G: 0.030433 Loss_D_real: -0.031987 Loss_D_fake 0.016657
[104/5000][260/535][10406] Loss_D: -0.048862 Loss_G: 0.015672 Loss_D_real: -0.020026 Loss_D_fake 0.028836
[104/5000][265/535][10407] Loss_D: -0.046906 Loss_G: 0.035054 Loss_D_real: -0.038060 Loss_D_fake 0.008847
[104/5000][270/535][10408] Loss_D: -0.044673 Loss_G: -0.012685 Loss_D_real: 0.001769 Loss_D_fake 0.046442
[104/5000][275/535][10409] Loss_D: -0.045643 Loss_G: 0.042462 Loss_D_real: -0.046181 Loss_D_fake -0.000538
[104/5000][280/535][10410] Loss_D: -0.047134 Loss_G: 0.013294 Loss_D_real: -0.020656 Loss_D_fake 0.026478
[104/5000][285/535][10411] Loss_D: -0.046387 Loss_G: 0.040787 Loss_D_real: -0.044348 Loss_D_fake 0.002039
[104/5000][290/535][10412] Loss_D: -0.044558 Loss_G: 0.018131 Loss_D_real: -0.026647 Loss_D_fake 0.017911
[104/5000][295/535][10413] Loss_D: -0.047048 Loss_G: 0.013713 Loss_D_real: -0.022908 Loss_D_fake 0.024139
[104/5000][300/535][10414] Loss_D: -0.046819 Loss_G: 0.020685 Loss_D_real: -0.029364 Loss_D_fake 0.017455
[104/5000][305/535][10415] Loss_D: -0.047592 Loss_G: 0.049331 Loss_D_real: -0.048988 Loss_D_fake -0.001397
[104/5000][310/535][10416] Loss_D: -0.046763 Loss_G: -0.001590 Loss_D_real: -0.008625 Loss_D_fake 0.038138
[104/5000][315/535][10417] Loss_D: -0.045363 Loss_G: 0.045657 Loss_D_real: -0.039565 Loss_D_fake 0.005798
[104/5000][320/535][10418] Loss_D: -0.047074 Loss_G: 0.011562 Loss_D_real: -0.016524 Loss_D_fake 0.030550
[104/5000][325/535][10419] Loss_D: -0.046199 Loss_G: 0.043211 Loss_D_real: -0.042273 Loss_D_fake 0.003926
[104/5000][330/535][10420] Loss_D: -0.045434 Loss_G: 0.003649 Loss_D_real: -0.013658 Loss_D_fake 0.031776
[104/5000][335/535][10421] Loss_D: -0.046811 Loss_G: 0.033049 Loss_D_real: -0.037998 Loss_D_fake 0.008813
[104/5000][340/535][10422] Loss_D: -0.050148 Loss_G: 0.037722 Loss_D_real: -0.042502 Loss_D_fake 0.007646
[104/5000][345/535][10423] Loss_D: -0.049361 Loss_G: 0.032398 Loss_D_real: -0.032430 Loss_D_fake 0.016931
[104/5000][350/535][10424] Loss_D: -0.049392 Loss_G: 0.018924 Loss_D_real: -0.020818 Loss_D_fake 0.028574
[104/5000][355/535][10425] Loss_D: -0.046160 Loss_G: 0.048511 Loss_D_real: -0.040583 Loss_D_fake 0.005578
[104/5000][360/535][10426] Loss_D: -0.047922 Loss_G: 0.009745 Loss_D_real: -0.021792 Loss_D_fake 0.026129
[104/5000][365/535][10427] Loss_D: -0.045422 Loss_G: 0.044042 Loss_D_real: -0.039420 Loss_D_fake 0.006002
[104/5000][370/535][10428] Loss_D: -0.047374 Loss_G: 0.000086 Loss_D_real: -0.013719 Loss_D_fake 0.033656
[104/5000][375/535][10429] Loss_D: -0.046275 Loss_G: 0.044541 Loss_D_real: -0.047262 Loss_D_fake -0.000987
[104/5000][380/535][10430] Loss_D: -0.048664 Loss_G: 0.022025 Loss_D_real: -0.023795 Loss_D_fake 0.024869
[104/5000][385/535][10431] Loss_D: -0.048261 Loss_G: 0.014250 Loss_D_real: -0.021836 Loss_D_fake 0.026424
[104/5000][390/535][10432] Loss_D: -0.043773 Loss_G: 0.050441 Loss_D_real: -0.055216 Loss_D_fake -0.011443
[104/5000][395/535][10433] Loss_D: -0.047255 Loss_G: -0.005393 Loss_D_real: -0.002069 Loss_D_fake 0.045186
[104/5000][400/535][10434] Loss_D: -0.046856 Loss_G: 0.029590 Loss_D_real: -0.042024 Loss_D_fake 0.004832
[104/5000][405/535][10435] Loss_D: -0.047699 Loss_G: 0.032820 Loss_D_real: -0.030421 Loss_D_fake 0.017278
[104/5000][410/535][10436] Loss_D: -0.049128 Loss_G: 0.028601 Loss_D_real: -0.028694 Loss_D_fake 0.020435
[104/5000][415/535][10437] Loss_D: -0.048331 Loss_G: 0.013696 Loss_D_real: -0.017933 Loss_D_fake 0.030398
[104/5000][420/535][10438] Loss_D: -0.047779 Loss_G: 0.022306 Loss_D_real: -0.028673 Loss_D_fake 0.019106
[104/5000][425/535][10439] Loss_D: -0.049280 Loss_G: 0.043026 Loss_D_real: -0.035416 Loss_D_fake 0.013864
[104/5000][430/535][10440] Loss_D: -0.050645 Loss_G: 0.012308 Loss_D_real: -0.026584 Loss_D_fake 0.024061
[104/5000][435/535][10441] Loss_D: -0.045566 Loss_G: 0.044217 Loss_D_real: -0.038493 Loss_D_fake 0.007073
[104/5000][440/535][10442] Loss_D: -0.044838 Loss_G: 0.002312 Loss_D_real: -0.010034 Loss_D_fake 0.034804
[104/5000][445/535][10443] Loss_D: -0.045907 Loss_G: 0.030188 Loss_D_real: -0.031803 Loss_D_fake 0.014104
[104/5000][450/535][10444] Loss_D: -0.046721 Loss_G: 0.009585 Loss_D_real: -0.012517 Loss_D_fake 0.034205
[104/5000][455/535][10445] Loss_D: -0.045901 Loss_G: 0.052123 Loss_D_real: -0.050261 Loss_D_fake -0.004360
[104/5000][460/535][10446] Loss_D: -0.048420 Loss_G: 0.043224 Loss_D_real: -0.036242 Loss_D_fake 0.012177
[104/5000][465/535][10447] Loss_D: -0.046742 Loss_G: -0.001866 Loss_D_real: -0.008680 Loss_D_fake 0.038062
[104/5000][470/535][10448] Loss_D: -0.046155 Loss_G: 0.027980 Loss_D_real: -0.032837 Loss_D_fake 0.013318
[104/5000][475/535][10449] Loss_D: -0.046660 Loss_G: -0.000782 Loss_D_real: -0.006298 Loss_D_fake 0.040361
[104/5000][480/535][10450] Loss_D: -0.045266 Loss_G: 0.044582 Loss_D_real: -0.040571 Loss_D_fake 0.004695
[104/5000][485/535][10451] Loss_D: -0.048023 Loss_G: 0.012009 Loss_D_real: -0.023274 Loss_D_fake 0.024749
[104/5000][490/535][10452] Loss_D: -0.044785 Loss_G: 0.036149 Loss_D_real: -0.036921 Loss_D_fake 0.007863
[104/5000][495/535][10453] Loss_D: -0.045717 Loss_G: 0.002778 Loss_D_real: -0.013750 Loss_D_fake 0.031967
[104/5000][500/535][10454] Loss_D: -0.044117 Loss_G: 0.048485 Loss_D_real: -0.041949 Loss_D_fake 0.002168
[104/5000][505/535][10455] Loss_D: -0.045848 Loss_G: 0.009319 Loss_D_real: -0.015447 Loss_D_fake 0.030401
[104/5000][510/535][10456] Loss_D: -0.047257 Loss_G: 0.039069 Loss_D_real: -0.036275 Loss_D_fake 0.010982
[104/5000][515/535][10457] Loss_D: -0.047324 Loss_G: 0.005994 Loss_D_real: -0.010792 Loss_D_fake 0.036532
[104/5000][520/535][10458] Loss_D: -0.045787 Loss_G: 0.035795 Loss_D_real: -0.039060 Loss_D_fake 0.006727
[104/5000][525/535][10459] Loss_D: -0.047378 Loss_G: 0.011096 Loss_D_real: -0.012384 Loss_D_fake 0.034994
[104/5000][530/535][10460] Loss_D: -0.046756 Loss_G: 0.027331 Loss_D_real: -0.036075 Loss_D_fake 0.010681
[104/5000][535/535][10461] Loss_D: -0.047681 Loss_G: 0.029121 Loss_D_real: -0.028323 Loss_D_fake 0.019359
[105/5000][5/535][10462] Loss_D: -0.042581 Loss_G: 0.001151 Loss_D_real: -0.014477 Loss_D_fake 0.028104
[105/5000][10/535][10463] Loss_D: -0.044441 Loss_G: 0.042815 Loss_D_real: -0.036919 Loss_D_fake 0.007522
[105/5000][15/535][10464] Loss_D: -0.044988 Loss_G: 0.012219 Loss_D_real: -0.018209 Loss_D_fake 0.026779
[105/5000][20/535][10465] Loss_D: -0.047563 Loss_G: 0.024300 Loss_D_real: -0.027068 Loss_D_fake 0.020495
[105/5000][25/535][10466] Loss_D: -0.046669 Loss_G: 0.001778 Loss_D_real: -0.013150 Loss_D_fake 0.033520
[105/5000][30/535][10467] Loss_D: -0.047603 Loss_G: 0.039741 Loss_D_real: -0.040072 Loss_D_fake 0.007532
[105/5000][35/535][10468] Loss_D: -0.049300 Loss_G: 0.033674 Loss_D_real: -0.034435 Loss_D_fake 0.014865
[105/5000][40/535][10469] Loss_D: -0.050519 Loss_G: 0.028243 Loss_D_real: -0.028243 Loss_D_fake 0.022276
[105/5000][45/535][10470] Loss_D: -0.047621 Loss_G: 0.048909 Loss_D_real: -0.041841 Loss_D_fake 0.005781
[105/5000][50/535][10471] Loss_D: -0.047334 Loss_G: 0.004717 Loss_D_real: -0.014894 Loss_D_fake 0.032441
[105/5000][55/535][10472] Loss_D: -0.042634 Loss_G: 0.051356 Loss_D_real: -0.043215 Loss_D_fake -0.000581
[105/5000][60/535][10473] Loss_D: -0.046322 Loss_G: 0.023734 Loss_D_real: -0.025686 Loss_D_fake 0.020636
[105/5000][65/535][10474] Loss_D: -0.048893 Loss_G: 0.034523 Loss_D_real: -0.036572 Loss_D_fake 0.012320
[105/5000][70/535][10475] Loss_D: -0.048023 Loss_G: 0.037630 Loss_D_real: -0.039174 Loss_D_fake 0.008849
[105/5000][75/535][10476] Loss_D: -0.046791 Loss_G: 0.013085 Loss_D_real: -0.010900 Loss_D_fake 0.035891
[105/5000][80/535][10477] Loss_D: -0.045428 Loss_G: 0.032471 Loss_D_real: -0.029966 Loss_D_fake 0.015462
[105/5000][85/535][10478] Loss_D: -0.047825 Loss_G: 0.009944 Loss_D_real: -0.016414 Loss_D_fake 0.031411
[105/5000][90/535][10479] Loss_D: -0.048260 Loss_G: 0.026441 Loss_D_real: -0.028507 Loss_D_fake 0.019754
[105/5000][95/535][10480] Loss_D: -0.049236 Loss_G: 0.042883 Loss_D_real: -0.038054 Loss_D_fake 0.011182
[105/5000][100/535][10481] Loss_D: -0.048341 Loss_G: 0.001961 Loss_D_real: -0.016109 Loss_D_fake 0.032232
[105/5000][105/535][10482] Loss_D: -0.044462 Loss_G: 0.045788 Loss_D_real: -0.051494 Loss_D_fake -0.007033
[105/5000][110/535][10483] Loss_D: -0.048126 Loss_G: 0.015768 Loss_D_real: -0.018173 Loss_D_fake 0.029954
[105/5000][115/535][10484] Loss_D: -0.046812 Loss_G: 0.012913 Loss_D_real: -0.023041 Loss_D_fake 0.023771
[105/5000][120/535][10485] Loss_D: -0.045640 Loss_G: 0.045807 Loss_D_real: -0.044685 Loss_D_fake 0.000956
[105/5000][125/535][10486] Loss_D: -0.046888 Loss_G: -0.013709 Loss_D_real: -0.005824 Loss_D_fake 0.041063
[105/5000][130/535][10487] Loss_D: -0.044772 Loss_G: 0.032480 Loss_D_real: -0.036172 Loss_D_fake 0.008600
[105/5000][135/535][10488] Loss_D: -0.046373 Loss_G: 0.001591 Loss_D_real: -0.010285 Loss_D_fake 0.036088
[105/5000][140/535][10489] Loss_D: -0.045954 Loss_G: 0.032235 Loss_D_real: -0.037636 Loss_D_fake 0.008318
[105/5000][145/535][10490] Loss_D: -0.047754 Loss_G: 0.033721 Loss_D_real: -0.036046 Loss_D_fake 0.011708
[105/5000][150/535][10491] Loss_D: -0.046501 Loss_G: 0.024257 Loss_D_real: -0.023866 Loss_D_fake 0.022635
[105/5000][155/535][10492] Loss_D: -0.048143 Loss_G: -0.007415 Loss_D_real: -0.006449 Loss_D_fake 0.041694
[105/5000][160/535][10493] Loss_D: -0.044709 Loss_G: 0.043812 Loss_D_real: -0.043257 Loss_D_fake 0.001452
[105/5000][165/535][10494] Loss_D: -0.047294 Loss_G: 0.001731 Loss_D_real: -0.010196 Loss_D_fake 0.037098
[105/5000][170/535][10495] Loss_D: -0.045512 Loss_G: 0.040950 Loss_D_real: -0.043950 Loss_D_fake 0.001562
[105/5000][175/535][10496] Loss_D: -0.046849 Loss_G: 0.000518 Loss_D_real: -0.008805 Loss_D_fake 0.038044
[105/5000][180/535][10497] Loss_D: -0.045174 Loss_G: 0.040530 Loss_D_real: -0.041598 Loss_D_fake 0.003576
[105/5000][185/535][10498] Loss_D: -0.044987 Loss_G: 0.009116 Loss_D_real: -0.011186 Loss_D_fake 0.033801
[105/5000][190/535][10499] Loss_D: -0.046894 Loss_G: 0.027881 Loss_D_real: -0.033680 Loss_D_fake 0.013214
[105/5000][195/535][10500] Loss_D: -0.049838 Loss_G: 0.035698 Loss_D_real: -0.031260 Loss_D_fake 0.018578
[105/5000][295/535][10501] Loss_D: -0.054039 Loss_G: 0.020091 Loss_D_real: -0.028129 Loss_D_fake 0.025910
[105/5000][300/535][10502] Loss_D: -0.051783 Loss_G: 0.035830 Loss_D_real: -0.031654 Loss_D_fake 0.020129
[105/5000][305/535][10503] Loss_D: -0.044889 Loss_G: 0.011883 Loss_D_real: -0.024526 Loss_D_fake 0.020362
[105/5000][310/535][10504] Loss_D: -0.044621 Loss_G: 0.031650 Loss_D_real: -0.030800 Loss_D_fake 0.013821
[105/5000][315/535][10505] Loss_D: -0.041868 Loss_G: 0.035226 Loss_D_real: -0.042942 Loss_D_fake -0.001074
[105/5000][320/535][10506] Loss_D: -0.045165 Loss_G: 0.032481 Loss_D_real: -0.035293 Loss_D_fake 0.009872
[105/5000][325/535][10507] Loss_D: -0.047277 Loss_G: 0.029246 Loss_D_real: -0.034321 Loss_D_fake 0.012956
[105/5000][330/535][10508] Loss_D: -0.045249 Loss_G: 0.016307 Loss_D_real: -0.017671 Loss_D_fake 0.027578
[105/5000][335/535][10509] Loss_D: -0.044733 Loss_G: 0.047019 Loss_D_real: -0.041029 Loss_D_fake 0.003703
[105/5000][340/535][10510] Loss_D: -0.047199 Loss_G: 0.010954 Loss_D_real: -0.015852 Loss_D_fake 0.031347
[105/5000][345/535][10511] Loss_D: -0.044465 Loss_G: 0.041280 Loss_D_real: -0.040347 Loss_D_fake 0.004118
[105/5000][350/535][10512] Loss_D: -0.047892 Loss_G: 0.007948 Loss_D_real: -0.017839 Loss_D_fake 0.030052
[105/5000][355/535][10513] Loss_D: -0.047358 Loss_G: 0.026866 Loss_D_real: -0.027565 Loss_D_fake 0.019793
[105/5000][360/535][10514] Loss_D: -0.046142 Loss_G: 0.045290 Loss_D_real: -0.038071 Loss_D_fake 0.008071
[105/5000][365/535][10515] Loss_D: -0.047344 Loss_G: 0.035662 Loss_D_real: -0.036288 Loss_D_fake 0.011056
[105/5000][370/535][10516] Loss_D: -0.048719 Loss_G: 0.031392 Loss_D_real: -0.028935 Loss_D_fake 0.019785
[105/5000][375/535][10517] Loss_D: -0.047101 Loss_G: 0.005531 Loss_D_real: -0.015572 Loss_D_fake 0.031529
[105/5000][380/535][10518] Loss_D: -0.043395 Loss_G: 0.053859 Loss_D_real: -0.058382 Loss_D_fake -0.014987
[105/5000][385/535][10519] Loss_D: -0.046245 Loss_G: 0.007398 Loss_D_real: -0.017812 Loss_D_fake 0.028432
[105/5000][390/535][10520] Loss_D: -0.045463 Loss_G: 0.019892 Loss_D_real: -0.030120 Loss_D_fake 0.015343
[105/5000][395/535][10521] Loss_D: -0.048793 Loss_G: 0.031922 Loss_D_real: -0.031738 Loss_D_fake 0.017055
[105/5000][400/535][10522] Loss_D: -0.048283 Loss_G: 0.049810 Loss_D_real: -0.047174 Loss_D_fake 0.001109
[105/5000][405/535][10523] Loss_D: -0.043946 Loss_G: -0.009566 Loss_D_real: 0.000656 Loss_D_fake 0.044603
[105/5000][410/535][10524] Loss_D: -0.044247 Loss_G: 0.033767 Loss_D_real: -0.033715 Loss_D_fake 0.010532
[105/5000][415/535][10525] Loss_D: -0.045502 Loss_G: 0.014201 Loss_D_real: -0.013334 Loss_D_fake 0.032169
[105/5000][420/535][10526] Loss_D: -0.046761 Loss_G: 0.027109 Loss_D_real: -0.031255 Loss_D_fake 0.015506
[105/5000][425/535][10527] Loss_D: -0.046142 Loss_G: 0.011992 Loss_D_real: -0.018166 Loss_D_fake 0.027975
[105/5000][430/535][10528] Loss_D: -0.048756 Loss_G: 0.025806 Loss_D_real: -0.033093 Loss_D_fake 0.015663
[105/5000][435/535][10529] Loss_D: -0.047821 Loss_G: 0.024498 Loss_D_real: -0.030156 Loss_D_fake 0.017665
[105/5000][440/535][10530] Loss_D: -0.045508 Loss_G: 0.046519 Loss_D_real: -0.048454 Loss_D_fake -0.002946
[105/5000][445/535][10531] Loss_D: -0.047361 Loss_G: 0.017271 Loss_D_real: -0.015989 Loss_D_fake 0.031372
[105/5000][450/535][10532] Loss_D: -0.047589 Loss_G: 0.029342 Loss_D_real: -0.035129 Loss_D_fake 0.012459
[105/5000][455/535][10533] Loss_D: -0.048561 Loss_G: 0.021654 Loss_D_real: -0.025449 Loss_D_fake 0.023113
[105/5000][460/535][10534] Loss_D: -0.049048 Loss_G: 0.039034 Loss_D_real: -0.032473 Loss_D_fake 0.016575
[105/5000][465/535][10535] Loss_D: -0.046294 Loss_G: 0.006820 Loss_D_real: -0.019894 Loss_D_fake 0.026401
[105/5000][470/535][10536] Loss_D: -0.045074 Loss_G: 0.041807 Loss_D_real: -0.042482 Loss_D_fake 0.002591
[105/5000][475/535][10537] Loss_D: -0.046437 Loss_G: 0.013756 Loss_D_real: -0.019746 Loss_D_fake 0.026690
[105/5000][480/535][10538] Loss_D: -0.045953 Loss_G: 0.050566 Loss_D_real: -0.052277 Loss_D_fake -0.006325
[105/5000][485/535][10539] Loss_D: -0.047995 Loss_G: 0.006215 Loss_D_real: -0.018793 Loss_D_fake 0.029201
[105/5000][490/535][10540] Loss_D: -0.043852 Loss_G: 0.046855 Loss_D_real: -0.055154 Loss_D_fake -0.011302
[105/5000][495/535][10541] Loss_D: -0.048390 Loss_G: 0.021836 Loss_D_real: -0.022057 Loss_D_fake 0.026334
[105/5000][500/535][10542] Loss_D: -0.047689 Loss_G: 0.029156 Loss_D_real: -0.033532 Loss_D_fake 0.014157
[105/5000][505/535][10543] Loss_D: -0.047666 Loss_G: -0.005792 Loss_D_real: -0.009677 Loss_D_fake 0.037989
[105/5000][510/535][10544] Loss_D: -0.045441 Loss_G: 0.033756 Loss_D_real: -0.036528 Loss_D_fake 0.008913
[105/5000][515/535][10545] Loss_D: -0.046644 Loss_G: 0.006245 Loss_D_real: -0.013748 Loss_D_fake 0.032896
[105/5000][520/535][10546] Loss_D: -0.044728 Loss_G: 0.036124 Loss_D_real: -0.033449 Loss_D_fake 0.011279
[105/5000][525/535][10547] Loss_D: -0.046321 Loss_G: 0.009465 Loss_D_real: -0.018329 Loss_D_fake 0.027992
[105/5000][530/535][10548] Loss_D: -0.046288 Loss_G: 0.035722 Loss_D_real: -0.038809 Loss_D_fake 0.007479
[105/5000][535/535][10549] Loss_D: -0.049502 Loss_G: 0.024685 Loss_D_real: -0.034927 Loss_D_fake 0.014574
[106/5000][5/535][10550] Loss_D: -0.048010 Loss_G: 0.025993 Loss_D_real: -0.028818 Loss_D_fake 0.019193
[106/5000][10/535][10551] Loss_D: -0.048638 Loss_G: 0.033325 Loss_D_real: -0.037323 Loss_D_fake 0.011315
[106/5000][15/535][10552] Loss_D: -0.048013 Loss_G: 0.037306 Loss_D_real: -0.033516 Loss_D_fake 0.014497
[106/5000][20/535][10553] Loss_D: -0.045625 Loss_G: -0.002104 Loss_D_real: -0.014821 Loss_D_fake 0.030804
[106/5000][25/535][10554] Loss_D: -0.046880 Loss_G: 0.040340 Loss_D_real: -0.038329 Loss_D_fake 0.008552
[106/5000][30/535][10555] Loss_D: -0.046726 Loss_G: 0.021874 Loss_D_real: -0.021727 Loss_D_fake 0.024999
[106/5000][35/535][10556] Loss_D: -0.045276 Loss_G: 0.042035 Loss_D_real: -0.043656 Loss_D_fake 0.001620
[106/5000][40/535][10557] Loss_D: -0.049565 Loss_G: 0.030454 Loss_D_real: -0.031094 Loss_D_fake 0.018471
[106/5000][45/535][10558] Loss_D: -0.047516 Loss_G: 0.002353 Loss_D_real: -0.019293 Loss_D_fake 0.028223
[106/5000][50/535][10559] Loss_D: -0.042354 Loss_G: 0.057486 Loss_D_real: -0.054955 Loss_D_fake -0.012601
[106/5000][55/535][10560] Loss_D: -0.044861 Loss_G: -0.015336 Loss_D_real: 0.002053 Loss_D_fake 0.046914
[106/5000][60/535][10561] Loss_D: -0.044826 Loss_G: 0.031827 Loss_D_real: -0.034557 Loss_D_fake 0.010268
[106/5000][65/535][10562] Loss_D: -0.046047 Loss_G: 0.028108 Loss_D_real: -0.030666 Loss_D_fake 0.015381
[106/5000][70/535][10563] Loss_D: -0.044799 Loss_G: 0.038114 Loss_D_real: -0.038343 Loss_D_fake 0.006456
[106/5000][75/535][10564] Loss_D: -0.045751 Loss_G: 0.002349 Loss_D_real: -0.015157 Loss_D_fake 0.030594
[106/5000][80/535][10565] Loss_D: -0.044410 Loss_G: 0.040197 Loss_D_real: -0.041561 Loss_D_fake 0.002850
[106/5000][85/535][10566] Loss_D: -0.046023 Loss_G: 0.002090 Loss_D_real: -0.008018 Loss_D_fake 0.038005
[106/5000][90/535][10567] Loss_D: -0.046066 Loss_G: 0.040847 Loss_D_real: -0.038640 Loss_D_fake 0.007427
[106/5000][95/535][10568] Loss_D: -0.049328 Loss_G: 0.036463 Loss_D_real: -0.042210 Loss_D_fake 0.007118
[106/5000][100/535][10569] Loss_D: -0.048978 Loss_G: 0.024204 Loss_D_real: -0.023518 Loss_D_fake 0.025460
[106/5000][105/535][10570] Loss_D: -0.047424 Loss_G: 0.046940 Loss_D_real: -0.039849 Loss_D_fake 0.007575
[106/5000][110/535][10571] Loss_D: -0.046225 Loss_G: 0.025915 Loss_D_real: -0.028374 Loss_D_fake 0.017850
[106/5000][115/535][10572] Loss_D: -0.048002 Loss_G: 0.027772 Loss_D_real: -0.033702 Loss_D_fake 0.014301
[106/5000][120/535][10573] Loss_D: -0.046213 Loss_G: 0.009901 Loss_D_real: -0.016345 Loss_D_fake 0.029868
[106/5000][125/535][10574] Loss_D: -0.048687 Loss_G: 0.031862 Loss_D_real: -0.035207 Loss_D_fake 0.013481
[106/5000][130/535][10575] Loss_D: -0.048350 Loss_G: 0.043393 Loss_D_real: -0.040121 Loss_D_fake 0.008229
[106/5000][135/535][10576] Loss_D: -0.046905 Loss_G: 0.005861 Loss_D_real: -0.016722 Loss_D_fake 0.030183
[106/5000][140/535][10577] Loss_D: -0.044805 Loss_G: 0.053415 Loss_D_real: -0.053106 Loss_D_fake -0.008302
[106/5000][145/535][10578] Loss_D: -0.047683 Loss_G: -0.006682 Loss_D_real: -0.012016 Loss_D_fake 0.035667
[106/5000][150/535][10579] Loss_D: -0.045602 Loss_G: 0.038836 Loss_D_real: -0.042109 Loss_D_fake 0.003493
[106/5000][155/535][10580] Loss_D: -0.048223 Loss_G: 0.024819 Loss_D_real: -0.027591 Loss_D_fake 0.020633
[106/5000][160/535][10581] Loss_D: -0.048258 Loss_G: 0.008918 Loss_D_real: -0.020600 Loss_D_fake 0.027657
[106/5000][165/535][10582] Loss_D: -0.047808 Loss_G: 0.025584 Loss_D_real: -0.030350 Loss_D_fake 0.017459
[106/5000][170/535][10583] Loss_D: -0.048833 Loss_G: 0.012615 Loss_D_real: -0.020463 Loss_D_fake 0.028370
[106/5000][175/535][10584] Loss_D: -0.047398 Loss_G: 0.051192 Loss_D_real: -0.049022 Loss_D_fake -0.001625
[106/5000][180/535][10585] Loss_D: -0.045997 Loss_G: 0.002231 Loss_D_real: -0.008698 Loss_D_fake 0.037299
[106/5000][185/535][10586] Loss_D: -0.045755 Loss_G: 0.025875 Loss_D_real: -0.034124 Loss_D_fake 0.011632
[106/5000][190/535][10587] Loss_D: -0.047803 Loss_G: 0.036544 Loss_D_real: -0.032596 Loss_D_fake 0.015207
[106/5000][195/535][10588] Loss_D: -0.047468 Loss_G: 0.040310 Loss_D_real: -0.032465 Loss_D_fake 0.015003
[106/5000][200/535][10589] Loss_D: -0.047761 Loss_G: 0.000668 Loss_D_real: -0.013389 Loss_D_fake 0.034372
[106/5000][205/535][10590] Loss_D: -0.047062 Loss_G: 0.029403 Loss_D_real: -0.033230 Loss_D_fake 0.013832
[106/5000][210/535][10591] Loss_D: -0.046074 Loss_G: 0.043961 Loss_D_real: -0.047453 Loss_D_fake -0.001379
[106/5000][215/535][10592] Loss_D: -0.048273 Loss_G: 0.019361 Loss_D_real: -0.025324 Loss_D_fake 0.022949
[106/5000][220/535][10593] Loss_D: -0.047165 Loss_G: 0.037640 Loss_D_real: -0.032563 Loss_D_fake 0.014602
[106/5000][225/535][10594] Loss_D: -0.047019 Loss_G: 0.004071 Loss_D_real: -0.015926 Loss_D_fake 0.031093
[106/5000][230/535][10595] Loss_D: -0.045583 Loss_G: 0.032474 Loss_D_real: -0.033203 Loss_D_fake 0.012380
[106/5000][235/535][10596] Loss_D: -0.046110 Loss_G: -0.004459 Loss_D_real: -0.007596 Loss_D_fake 0.038514
[106/5000][240/535][10597] Loss_D: -0.046345 Loss_G: 0.032871 Loss_D_real: -0.033212 Loss_D_fake 0.013133
[106/5000][245/535][10598] Loss_D: -0.046646 Loss_G: 0.027333 Loss_D_real: -0.030147 Loss_D_fake 0.016500
[106/5000][250/535][10599] Loss_D: -0.046380 Loss_G: 0.035008 Loss_D_real: -0.031092 Loss_D_fake 0.015288
[106/5000][255/535][10600] Loss_D: -0.045922 Loss_G: 0.009840 Loss_D_real: -0.016392 Loss_D_fake 0.029530
[106/5000][260/535][10601] Loss_D: -0.046400 Loss_G: 0.024249 Loss_D_real: -0.029954 Loss_D_fake 0.016446
[106/5000][265/535][10602] Loss_D: -0.046226 Loss_G: 0.030156 Loss_D_real: -0.037017 Loss_D_fake 0.009209
[106/5000][270/535][10603] Loss_D: -0.045844 Loss_G: 0.043221 Loss_D_real: -0.040589 Loss_D_fake 0.005254
[106/5000][275/535][10604] Loss_D: -0.043388 Loss_G: 0.000675 Loss_D_real: -0.006241 Loss_D_fake 0.037147
[106/5000][280/535][10605] Loss_D: -0.043993 Loss_G: 0.030873 Loss_D_real: -0.039532 Loss_D_fake 0.004460
[106/5000][285/535][10606] Loss_D: -0.047640 Loss_G: 0.010198 Loss_D_real: -0.021549 Loss_D_fake 0.026092
[106/5000][290/535][10607] Loss_D: -0.046955 Loss_G: 0.033909 Loss_D_real: -0.027702 Loss_D_fake 0.019253
[106/5000][295/535][10608] Loss_D: -0.046357 Loss_G: 0.030314 Loss_D_real: -0.032551 Loss_D_fake 0.013806
[106/5000][300/535][10609] Loss_D: -0.047874 Loss_G: 0.014914 Loss_D_real: -0.023674 Loss_D_fake 0.024200
[106/5000][305/535][10610] Loss_D: -0.049193 Loss_G: 0.032472 Loss_D_real: -0.028177 Loss_D_fake 0.021016
[106/5000][310/535][10611] Loss_D: -0.049196 Loss_G: 0.045508 Loss_D_real: -0.041626 Loss_D_fake 0.007570
[106/5000][315/535][10612] Loss_D: -0.045908 Loss_G: -0.004896 Loss_D_real: -0.006172 Loss_D_fake 0.039737
[106/5000][320/535][10613] Loss_D: -0.044863 Loss_G: 0.024932 Loss_D_real: -0.031048 Loss_D_fake 0.013815
[106/5000][325/535][10614] Loss_D: -0.045096 Loss_G: 0.014352 Loss_D_real: -0.021778 Loss_D_fake 0.023319
[106/5000][330/535][10615] Loss_D: -0.046348 Loss_G: 0.025003 Loss_D_real: -0.030322 Loss_D_fake 0.016026
[106/5000][335/535][10616] Loss_D: -0.047411 Loss_G: 0.032079 Loss_D_real: -0.029332 Loss_D_fake 0.018079
[106/5000][340/535][10617] Loss_D: -0.049408 Loss_G: 0.020036 Loss_D_real: -0.030893 Loss_D_fake 0.018516
[106/5000][345/535][10618] Loss_D: -0.046512 Loss_G: 0.046004 Loss_D_real: -0.038484 Loss_D_fake 0.008027
[106/5000][350/535][10619] Loss_D: -0.044015 Loss_G: 0.015965 Loss_D_real: -0.023351 Loss_D_fake 0.020664
[106/5000][355/535][10620] Loss_D: -0.044057 Loss_G: 0.029461 Loss_D_real: -0.034985 Loss_D_fake 0.009072
[106/5000][360/535][10621] Loss_D: -0.044659 Loss_G: 0.001108 Loss_D_real: -0.012373 Loss_D_fake 0.032286
[106/5000][365/535][10622] Loss_D: -0.046441 Loss_G: 0.031327 Loss_D_real: -0.030376 Loss_D_fake 0.016065
[106/5000][370/535][10623] Loss_D: -0.044041 Loss_G: 0.004593 Loss_D_real: -0.018850 Loss_D_fake 0.025191
[106/5000][375/535][10624] Loss_D: -0.043794 Loss_G: 0.039622 Loss_D_real: -0.041530 Loss_D_fake 0.002264
[106/5000][380/535][10625] Loss_D: -0.044095 Loss_G: 0.004412 Loss_D_real: -0.011124 Loss_D_fake 0.032970
[106/5000][385/535][10626] Loss_D: -0.045181 Loss_G: 0.021390 Loss_D_real: -0.023256 Loss_D_fake 0.021925
[106/5000][390/535][10627] Loss_D: -0.046443 Loss_G: 0.044290 Loss_D_real: -0.044822 Loss_D_fake 0.001621
[106/5000][395/535][10628] Loss_D: -0.045812 Loss_G: 0.055982 Loss_D_real: -0.048001 Loss_D_fake -0.002189
[106/5000][400/535][10629] Loss_D: -0.048950 Loss_G: 0.007560 Loss_D_real: -0.010841 Loss_D_fake 0.038109
[106/5000][405/535][10630] Loss_D: -0.044829 Loss_G: 0.046752 Loss_D_real: -0.042364 Loss_D_fake 0.002465
[106/5000][410/535][10631] Loss_D: -0.046137 Loss_G: -0.013613 Loss_D_real: -0.003918 Loss_D_fake 0.042218
[106/5000][415/535][10632] Loss_D: -0.046128 Loss_G: 0.044495 Loss_D_real: -0.041355 Loss_D_fake 0.004773
[106/5000][420/535][10633] Loss_D: -0.046727 Loss_G: 0.049921 Loss_D_real: -0.047048 Loss_D_fake -0.000322
[106/5000][425/535][10634] Loss_D: -0.048340 Loss_G: 0.002180 Loss_D_real: -0.014564 Loss_D_fake 0.033776
[106/5000][430/535][10635] Loss_D: -0.046982 Loss_G: 0.048045 Loss_D_real: -0.051719 Loss_D_fake -0.004738
[106/5000][435/535][10636] Loss_D: -0.049101 Loss_G: 0.022893 Loss_D_real: -0.025716 Loss_D_fake 0.023385
[106/5000][440/535][10637] Loss_D: -0.044704 Loss_G: 0.057977 Loss_D_real: -0.052661 Loss_D_fake -0.007957
[106/5000][445/535][10638] Loss_D: -0.045946 Loss_G: -0.005358 Loss_D_real: -0.011473 Loss_D_fake 0.034473
[106/5000][450/535][10639] Loss_D: -0.046044 Loss_G: 0.036183 Loss_D_real: -0.036768 Loss_D_fake 0.009276
[106/5000][455/535][10640] Loss_D: -0.044438 Loss_G: 0.001582 Loss_D_real: -0.016308 Loss_D_fake 0.028130
[106/5000][460/535][10641] Loss_D: -0.047676 Loss_G: 0.040569 Loss_D_real: -0.038749 Loss_D_fake 0.008927
[106/5000][465/535][10642] Loss_D: -0.047719 Loss_G: 0.052469 Loss_D_real: -0.045343 Loss_D_fake 0.002376
[106/5000][470/535][10643] Loss_D: -0.046862 Loss_G: 0.021612 Loss_D_real: -0.021321 Loss_D_fake 0.025541
[106/5000][475/535][10644] Loss_D: -0.049998 Loss_G: 0.048495 Loss_D_real: -0.036441 Loss_D_fake 0.013557
[106/5000][480/535][10645] Loss_D: -0.046335 Loss_G: 0.026936 Loss_D_real: -0.029019 Loss_D_fake 0.017316
[106/5000][485/535][10646] Loss_D: -0.048354 Loss_G: 0.020291 Loss_D_real: -0.025912 Loss_D_fake 0.022442
[106/5000][490/535][10647] Loss_D: -0.047148 Loss_G: 0.048878 Loss_D_real: -0.046389 Loss_D_fake 0.000759
[106/5000][495/535][10648] Loss_D: -0.048298 Loss_G: 0.001943 Loss_D_real: -0.010055 Loss_D_fake 0.038243
[106/5000][500/535][10649] Loss_D: -0.046546 Loss_G: 0.035638 Loss_D_real: -0.036497 Loss_D_fake 0.010049
[106/5000][505/535][10650] Loss_D: -0.046113 Loss_G: 0.001750 Loss_D_real: -0.006084 Loss_D_fake 0.040029
[106/5000][510/535][10651] Loss_D: -0.047201 Loss_G: 0.022250 Loss_D_real: -0.028459 Loss_D_fake 0.018742
[106/5000][515/535][10652] Loss_D: -0.047340 Loss_G: 0.034646 Loss_D_real: -0.034586 Loss_D_fake 0.012754
[106/5000][520/535][10653] Loss_D: -0.047783 Loss_G: 0.027605 Loss_D_real: -0.022545 Loss_D_fake 0.025238
[106/5000][525/535][10654] Loss_D: -0.045000 Loss_G: -0.005478 Loss_D_real: -0.007583 Loss_D_fake 0.037417
[106/5000][530/535][10655] Loss_D: -0.045163 Loss_G: 0.036814 Loss_D_real: -0.024546 Loss_D_fake 0.020617
[106/5000][535/535][10656] Loss_D: -0.044426 Loss_G: 0.014325 Loss_D_real: -0.015858 Loss_D_fake 0.028568
[107/5000][5/535][10657] Loss_D: -0.047535 Loss_G: 0.036654 Loss_D_real: -0.032136 Loss_D_fake 0.015400
[107/5000][10/535][10658] Loss_D: -0.048833 Loss_G: 0.031982 Loss_D_real: -0.035271 Loss_D_fake 0.013562
[107/5000][15/535][10659] Loss_D: -0.048502 Loss_G: 0.023348 Loss_D_real: -0.028879 Loss_D_fake 0.019623
[107/5000][20/535][10660] Loss_D: -0.047483 Loss_G: 0.058242 Loss_D_real: -0.048024 Loss_D_fake -0.000541
[107/5000][25/535][10661] Loss_D: -0.045030 Loss_G: -0.008901 Loss_D_real: -0.002629 Loss_D_fake 0.042401
[107/5000][30/535][10662] Loss_D: -0.044879 Loss_G: 0.034141 Loss_D_real: -0.038117 Loss_D_fake 0.006762
[107/5000][35/535][10663] Loss_D: -0.045303 Loss_G: -0.001922 Loss_D_real: -0.012285 Loss_D_fake 0.033018
[107/5000][40/535][10664] Loss_D: -0.046497 Loss_G: 0.021372 Loss_D_real: -0.032117 Loss_D_fake 0.014380
[107/5000][45/535][10665] Loss_D: -0.046043 Loss_G: 0.018438 Loss_D_real: -0.018514 Loss_D_fake 0.027529
[107/5000][50/535][10666] Loss_D: -0.047963 Loss_G: 0.018004 Loss_D_real: -0.024692 Loss_D_fake 0.023271
[107/5000][55/535][10667] Loss_D: -0.047868 Loss_G: 0.040682 Loss_D_real: -0.036052 Loss_D_fake 0.011816
[107/5000][60/535][10668] Loss_D: -0.048194 Loss_G: 0.041021 Loss_D_real: -0.038525 Loss_D_fake 0.009669
[107/5000][65/535][10669] Loss_D: -0.047495 Loss_G: 0.027145 Loss_D_real: -0.027387 Loss_D_fake 0.020109
[107/5000][70/535][10670] Loss_D: -0.045547 Loss_G: 0.053146 Loss_D_real: -0.049559 Loss_D_fake -0.004012
[107/5000][75/535][10671] Loss_D: -0.046317 Loss_G: 0.001444 Loss_D_real: -0.003727 Loss_D_fake 0.042590
[107/5000][80/535][10672] Loss_D: -0.044642 Loss_G: 0.034018 Loss_D_real: -0.034178 Loss_D_fake 0.010464
[107/5000][85/535][10673] Loss_D: -0.045374 Loss_G: 0.002592 Loss_D_real: -0.007502 Loss_D_fake 0.037872
[107/5000][90/535][10674] Loss_D: -0.045334 Loss_G: 0.042158 Loss_D_real: -0.048026 Loss_D_fake -0.002692
[107/5000][95/535][10675] Loss_D: -0.046935 Loss_G: 0.016168 Loss_D_real: -0.019581 Loss_D_fake 0.027354
[107/5000][100/535][10676] Loss_D: -0.047499 Loss_G: 0.030367 Loss_D_real: -0.038295 Loss_D_fake 0.009203
[107/5000][105/535][10677] Loss_D: -0.046930 Loss_G: 0.042007 Loss_D_real: -0.036184 Loss_D_fake 0.010746
[107/5000][110/535][10678] Loss_D: -0.047740 Loss_G: 0.022050 Loss_D_real: -0.022298 Loss_D_fake 0.025442
[107/5000][115/535][10679] Loss_D: -0.047739 Loss_G: 0.036269 Loss_D_real: -0.036422 Loss_D_fake 0.011318
[107/5000][120/535][10680] Loss_D: -0.048323 Loss_G: 0.018909 Loss_D_real: -0.022294 Loss_D_fake 0.026028
[107/5000][125/535][10681] Loss_D: -0.045701 Loss_G: 0.043503 Loss_D_real: -0.039839 Loss_D_fake 0.005862
[107/5000][130/535][10682] Loss_D: -0.046092 Loss_G: 0.000886 Loss_D_real: -0.010840 Loss_D_fake 0.035251
[107/5000][135/535][10683] Loss_D: -0.044705 Loss_G: 0.042182 Loss_D_real: -0.046732 Loss_D_fake -0.002027
[107/5000][140/535][10684] Loss_D: -0.048771 Loss_G: 0.011340 Loss_D_real: -0.023072 Loss_D_fake 0.025699
[107/5000][145/535][10685] Loss_D: -0.044601 Loss_G: 0.048637 Loss_D_real: -0.044288 Loss_D_fake 0.000312
[107/5000][150/535][10686] Loss_D: -0.045112 Loss_G: -0.003424 Loss_D_real: -0.004976 Loss_D_fake 0.040136
[107/5000][155/535][10687] Loss_D: -0.045790 Loss_G: 0.038189 Loss_D_real: -0.036600 Loss_D_fake 0.009190
[107/5000][160/535][10688] Loss_D: -0.047433 Loss_G: 0.025953 Loss_D_real: -0.028448 Loss_D_fake 0.018985
[107/5000][165/535][10689] Loss_D: -0.049493 Loss_G: 0.033582 Loss_D_real: -0.030990 Loss_D_fake 0.018504
[107/5000][170/535][10690] Loss_D: -0.049384 Loss_G: 0.027003 Loss_D_real: -0.030500 Loss_D_fake 0.018884
[107/5000][175/535][10691] Loss_D: -0.048528 Loss_G: 0.021203 Loss_D_real: -0.023592 Loss_D_fake 0.024936
[107/5000][180/535][10692] Loss_D: -0.047699 Loss_G: 0.048665 Loss_D_real: -0.042807 Loss_D_fake 0.004892
[107/5000][185/535][10693] Loss_D: -0.046845 Loss_G: 0.019145 Loss_D_real: -0.018818 Loss_D_fake 0.028027
[107/5000][190/535][10694] Loss_D: -0.046412 Loss_G: 0.052584 Loss_D_real: -0.048462 Loss_D_fake -0.002050
[107/5000][195/535][10695] Loss_D: -0.045743 Loss_G: -0.004718 Loss_D_real: -0.005644 Loss_D_fake 0.040099
[107/5000][200/535][10696] Loss_D: -0.047112 Loss_G: 0.031355 Loss_D_real: -0.037167 Loss_D_fake 0.009945
[107/5000][205/535][10697] Loss_D: -0.046662 Loss_G: 0.006109 Loss_D_real: -0.012861 Loss_D_fake 0.033800
[107/5000][210/535][10698] Loss_D: -0.045508 Loss_G: 0.040362 Loss_D_real: -0.040627 Loss_D_fake 0.004881
[107/5000][215/535][10699] Loss_D: -0.044768 Loss_G: 0.007515 Loss_D_real: -0.013161 Loss_D_fake 0.031608
[107/5000][220/535][10700] Loss_D: -0.047505 Loss_G: 0.033768 Loss_D_real: -0.035172 Loss_D_fake 0.012333
[107/5000][225/535][10701] Loss_D: -0.046479 Loss_G: 0.004255 Loss_D_real: -0.017074 Loss_D_fake 0.029406
[107/5000][230/535][10702] Loss_D: -0.043461 Loss_G: 0.048802 Loss_D_real: -0.044577 Loss_D_fake -0.001115
[107/5000][235/535][10703] Loss_D: -0.046512 Loss_G: 0.003037 Loss_D_real: -0.014705 Loss_D_fake 0.031807
[107/5000][240/535][10704] Loss_D: -0.046765 Loss_G: 0.036305 Loss_D_real: -0.036276 Loss_D_fake 0.010488
[107/5000][245/535][10705] Loss_D: -0.047666 Loss_G: 0.019643 Loss_D_real: -0.023990 Loss_D_fake 0.023676
[107/5000][250/535][10706] Loss_D: -0.047522 Loss_G: 0.051433 Loss_D_real: -0.043354 Loss_D_fake 0.004167
[107/5000][255/535][10707] Loss_D: -0.046208 Loss_G: 0.043332 Loss_D_real: -0.045872 Loss_D_fake 0.000336
[107/5000][260/535][10708] Loss_D: -0.047795 Loss_G: 0.028882 Loss_D_real: -0.030424 Loss_D_fake 0.017371
[107/5000][265/535][10709] Loss_D: -0.046666 Loss_G: 0.035868 Loss_D_real: -0.038828 Loss_D_fake 0.007838
[107/5000][270/535][10710] Loss_D: -0.048208 Loss_G: 0.004063 Loss_D_real: -0.017225 Loss_D_fake 0.030983
[107/5000][275/535][10711] Loss_D: -0.045192 Loss_G: 0.040280 Loss_D_real: -0.040586 Loss_D_fake 0.004606
[107/5000][280/535][10712] Loss_D: -0.047190 Loss_G: 0.015868 Loss_D_real: -0.026133 Loss_D_fake 0.021056
[107/5000][285/535][10713] Loss_D: -0.045120 Loss_G: 0.036705 Loss_D_real: -0.040267 Loss_D_fake 0.004853
[107/5000][290/535][10714] Loss_D: -0.044375 Loss_G: 0.010299 Loss_D_real: -0.018344 Loss_D_fake 0.026032
[107/5000][295/535][10715] Loss_D: -0.044867 Loss_G: 0.026741 Loss_D_real: -0.030608 Loss_D_fake 0.014259
[107/5000][300/535][10716] Loss_D: -0.045468 Loss_G: 0.012731 Loss_D_real: -0.018108 Loss_D_fake 0.027360
[107/5000][305/535][10717] Loss_D: -0.044786 Loss_G: 0.035927 Loss_D_real: -0.033580 Loss_D_fake 0.011206
[107/5000][310/535][10718] Loss_D: -0.048795 Loss_G: 0.006730 Loss_D_real: -0.021620 Loss_D_fake 0.027175
[107/5000][315/535][10719] Loss_D: -0.046835 Loss_G: 0.021533 Loss_D_real: -0.025923 Loss_D_fake 0.020912
[107/5000][320/535][10720] Loss_D: -0.046392 Loss_G: 0.020743 Loss_D_real: -0.023795 Loss_D_fake 0.022597
[107/5000][325/535][10721] Loss_D: -0.045882 Loss_G: 0.037208 Loss_D_real: -0.030569 Loss_D_fake 0.015313
[107/5000][330/535][10722] Loss_D: -0.046117 Loss_G: 0.003812 Loss_D_real: -0.010593 Loss_D_fake 0.035524
[107/5000][335/535][10723] Loss_D: -0.046073 Loss_G: 0.040489 Loss_D_real: -0.034574 Loss_D_fake 0.011499
[107/5000][340/535][10724] Loss_D: -0.049701 Loss_G: 0.009164 Loss_D_real: -0.021019 Loss_D_fake 0.028682
[107/5000][345/535][10725] Loss_D: -0.045745 Loss_G: 0.048608 Loss_D_real: -0.044905 Loss_D_fake 0.000840
[107/5000][350/535][10726] Loss_D: -0.045210 Loss_G: -0.018036 Loss_D_real: -0.006826 Loss_D_fake 0.038384
[107/5000][355/535][10727] Loss_D: -0.042042 Loss_G: 0.041281 Loss_D_real: -0.042274 Loss_D_fake -0.000233
[107/5000][360/535][10728] Loss_D: -0.045742 Loss_G: 0.012639 Loss_D_real: -0.018049 Loss_D_fake 0.027693
[107/5000][365/535][10729] Loss_D: -0.046901 Loss_G: 0.033855 Loss_D_real: -0.033221 Loss_D_fake 0.013680
[107/5000][370/535][10730] Loss_D: -0.046916 Loss_G: 0.036905 Loss_D_real: -0.036548 Loss_D_fake 0.010368
[107/5000][375/535][10731] Loss_D: -0.049275 Loss_G: 0.001131 Loss_D_real: -0.012374 Loss_D_fake 0.036900
[107/5000][380/535][10732] Loss_D: -0.045492 Loss_G: 0.046255 Loss_D_real: -0.051782 Loss_D_fake -0.006290
[107/5000][385/535][10733] Loss_D: -0.046949 Loss_G: 0.006256 Loss_D_real: -0.013756 Loss_D_fake 0.033193
[107/5000][390/535][10734] Loss_D: -0.047913 Loss_G: 0.023543 Loss_D_real: -0.027559 Loss_D_fake 0.020354
[107/5000][395/535][10735] Loss_D: -0.049789 Loss_G: 0.014071 Loss_D_real: -0.025861 Loss_D_fake 0.023929
[107/5000][400/535][10736] Loss_D: -0.045478 Loss_G: 0.044665 Loss_D_real: -0.041121 Loss_D_fake 0.004357
[107/5000][405/535][10737] Loss_D: -0.049477 Loss_G: 0.023777 Loss_D_real: -0.026286 Loss_D_fake 0.023191
[107/5000][410/535][10738] Loss_D: -0.045273 Loss_G: 0.034874 Loss_D_real: -0.036971 Loss_D_fake 0.008302
[107/5000][415/535][10739] Loss_D: -0.049026 Loss_G: 0.033564 Loss_D_real: -0.030758 Loss_D_fake 0.018269
[107/5000][420/535][10740] Loss_D: -0.044654 Loss_G: -0.008771 Loss_D_real: -0.002881 Loss_D_fake 0.041773
[107/5000][425/535][10741] Loss_D: -0.044782 Loss_G: 0.042240 Loss_D_real: -0.045447 Loss_D_fake -0.000665
[107/5000][430/535][10742] Loss_D: -0.046806 Loss_G: 0.021665 Loss_D_real: -0.025190 Loss_D_fake 0.021616
[107/5000][435/535][10743] Loss_D: -0.049213 Loss_G: 0.037637 Loss_D_real: -0.037058 Loss_D_fake 0.012155
[107/5000][440/535][10744] Loss_D: -0.048157 Loss_G: 0.005734 Loss_D_real: -0.017916 Loss_D_fake 0.030241
[107/5000][445/535][10745] Loss_D: -0.045199 Loss_G: 0.054188 Loss_D_real: -0.050879 Loss_D_fake -0.005680
[107/5000][450/535][10746] Loss_D: -0.047738 Loss_G: 0.005082 Loss_D_real: -0.015542 Loss_D_fake 0.032197
[107/5000][455/535][10747] Loss_D: -0.044412 Loss_G: 0.038109 Loss_D_real: -0.042010 Loss_D_fake 0.002402
[107/5000][460/535][10748] Loss_D: -0.045896 Loss_G: 0.009257 Loss_D_real: -0.020944 Loss_D_fake 0.024952
[107/5000][465/535][10749] Loss_D: -0.048193 Loss_G: 0.038052 Loss_D_real: -0.035720 Loss_D_fake 0.012473
[107/5000][470/535][10750] Loss_D: -0.047065 Loss_G: 0.011579 Loss_D_real: -0.016850 Loss_D_fake 0.030215
[107/5000][475/535][10751] Loss_D: -0.044522 Loss_G: 0.041376 Loss_D_real: -0.037371 Loss_D_fake 0.007150
[107/5000][480/535][10752] Loss_D: -0.046646 Loss_G: 0.025348 Loss_D_real: -0.027035 Loss_D_fake 0.019610
[107/5000][485/535][10753] Loss_D: -0.047465 Loss_G: 0.025929 Loss_D_real: -0.028894 Loss_D_fake 0.018570
[107/5000][490/535][10754] Loss_D: -0.045992 Loss_G: 0.044271 Loss_D_real: -0.044290 Loss_D_fake 0.001703
[107/5000][495/535][10755] Loss_D: -0.048383 Loss_G: 0.013961 Loss_D_real: -0.021725 Loss_D_fake 0.026658
[107/5000][500/535][10756] Loss_D: -0.045957 Loss_G: 0.054303 Loss_D_real: -0.048670 Loss_D_fake -0.002713
[107/5000][505/535][10757] Loss_D: -0.046006 Loss_G: -0.008171 Loss_D_real: -0.005928 Loss_D_fake 0.040078
[107/5000][510/535][10758] Loss_D: -0.044788 Loss_G: 0.042508 Loss_D_real: -0.041129 Loss_D_fake 0.003659
[107/5000][515/535][10759] Loss_D: -0.046045 Loss_G: -0.004452 Loss_D_real: -0.009715 Loss_D_fake 0.036329
[107/5000][520/535][10760] Loss_D: -0.044243 Loss_G: 0.037244 Loss_D_real: -0.038977 Loss_D_fake 0.005266
[107/5000][525/535][10761] Loss_D: -0.046309 Loss_G: 0.007426 Loss_D_real: -0.016112 Loss_D_fake 0.030196
[107/5000][530/535][10762] Loss_D: -0.046863 Loss_G: 0.043509 Loss_D_real: -0.043835 Loss_D_fake 0.003029
[107/5000][535/535][10763] Loss_D: -0.047152 Loss_G: 0.004509 Loss_D_real: -0.011401 Loss_D_fake 0.035751
[108/5000][5/535][10764] Loss_D: -0.047532 Loss_G: 0.025990 Loss_D_real: -0.031071 Loss_D_fake 0.016462
[108/5000][10/535][10765] Loss_D: -0.048581 Loss_G: 0.044479 Loss_D_real: -0.040681 Loss_D_fake 0.007899
[108/5000][15/535][10766] Loss_D: -0.043805 Loss_G: 0.002223 Loss_D_real: -0.011040 Loss_D_fake 0.032765
[108/5000][20/535][10767] Loss_D: -0.045928 Loss_G: 0.041305 Loss_D_real: -0.043270 Loss_D_fake 0.002658
[108/5000][25/535][10768] Loss_D: -0.046369 Loss_G: 0.012833 Loss_D_real: -0.019310 Loss_D_fake 0.027059
[108/5000][30/535][10769] Loss_D: -0.047505 Loss_G: 0.034802 Loss_D_real: -0.045009 Loss_D_fake 0.002497
[108/5000][35/535][10770] Loss_D: -0.047474 Loss_G: 0.015672 Loss_D_real: -0.024771 Loss_D_fake 0.022702
[108/5000][40/535][10771] Loss_D: -0.046987 Loss_G: 0.027147 Loss_D_real: -0.034744 Loss_D_fake 0.012243
[108/5000][45/535][10772] Loss_D: -0.049865 Loss_G: 0.027784 Loss_D_real: -0.029395 Loss_D_fake 0.020470
[108/5000][50/535][10773] Loss_D: -0.046011 Loss_G: 0.040109 Loss_D_real: -0.046056 Loss_D_fake -0.000045
[108/5000][55/535][10774] Loss_D: -0.048518 Loss_G: 0.017370 Loss_D_real: -0.026854 Loss_D_fake 0.021663
[108/5000][60/535][10775] Loss_D: -0.047225 Loss_G: 0.039321 Loss_D_real: -0.041629 Loss_D_fake 0.005596
[108/5000][65/535][10776] Loss_D: -0.047509 Loss_G: -0.001762 Loss_D_real: -0.012183 Loss_D_fake 0.035326
[108/5000][70/535][10777] Loss_D: -0.045386 Loss_G: 0.031389 Loss_D_real: -0.041360 Loss_D_fake 0.004026
[108/5000][75/535][10778] Loss_D: -0.045709 Loss_G: 0.043232 Loss_D_real: -0.037450 Loss_D_fake 0.008259
[108/5000][80/535][10779] Loss_D: -0.046001 Loss_G: 0.004320 Loss_D_real: -0.014697 Loss_D_fake 0.031304
[108/5000][85/535][10780] Loss_D: -0.044791 Loss_G: 0.046296 Loss_D_real: -0.048764 Loss_D_fake -0.003973
[108/5000][90/535][10781] Loss_D: -0.047042 Loss_G: 0.007419 Loss_D_real: -0.015217 Loss_D_fake 0.031825
[108/5000][95/535][10782] Loss_D: -0.047485 Loss_G: 0.013707 Loss_D_real: -0.027039 Loss_D_fake 0.020447
[108/5000][100/535][10783] Loss_D: -0.047095 Loss_G: 0.033605 Loss_D_real: -0.040013 Loss_D_fake 0.007082
[108/5000][105/535][10784] Loss_D: -0.047433 Loss_G: 0.031718 Loss_D_real: -0.036034 Loss_D_fake 0.011399
[108/5000][110/535][10785] Loss_D: -0.050112 Loss_G: 0.032296 Loss_D_real: -0.034161 Loss_D_fake 0.015951
[108/5000][115/535][10786] Loss_D: -0.045088 Loss_G: 0.060335 Loss_D_real: -0.050907 Loss_D_fake -0.005819
[108/5000][120/535][10787] Loss_D: -0.044399 Loss_G: 0.001277 Loss_D_real: -0.004340 Loss_D_fake 0.040059
[108/5000][125/535][10788] Loss_D: -0.044935 Loss_G: 0.039359 Loss_D_real: -0.038985 Loss_D_fake 0.005949
[108/5000][130/535][10789] Loss_D: -0.048232 Loss_G: 0.011647 Loss_D_real: -0.018222 Loss_D_fake 0.030010
[108/5000][135/535][10790] Loss_D: -0.046240 Loss_G: 0.047695 Loss_D_real: -0.044486 Loss_D_fake 0.001754
[108/5000][140/535][10791] Loss_D: -0.046874 Loss_G: 0.027414 Loss_D_real: -0.025982 Loss_D_fake 0.020892
[108/5000][145/535][10792] Loss_D: -0.047912 Loss_G: 0.043182 Loss_D_real: -0.042874 Loss_D_fake 0.005039
[108/5000][150/535][10793] Loss_D: -0.045956 Loss_G: -0.002482 Loss_D_real: -0.005155 Loss_D_fake 0.040801
[108/5000][155/535][10794] Loss_D: -0.045912 Loss_G: 0.036216 Loss_D_real: -0.034392 Loss_D_fake 0.011521
[108/5000][160/535][10795] Loss_D: -0.046494 Loss_G: 0.002649 Loss_D_real: -0.008751 Loss_D_fake 0.037743
[108/5000][165/535][10796] Loss_D: -0.046639 Loss_G: 0.027906 Loss_D_real: -0.037407 Loss_D_fake 0.009231
[108/5000][170/535][10797] Loss_D: -0.047780 Loss_G: 0.024234 Loss_D_real: -0.025768 Loss_D_fake 0.022011
[108/5000][175/535][10798] Loss_D: -0.044805 Loss_G: 0.040635 Loss_D_real: -0.037552 Loss_D_fake 0.007253
[108/5000][180/535][10799] Loss_D: -0.046884 Loss_G: 0.022043 Loss_D_real: -0.023698 Loss_D_fake 0.023187
[108/5000][185/535][10800] Loss_D: -0.045485 Loss_G: 0.048469 Loss_D_real: -0.048604 Loss_D_fake -0.003119
[108/5000][190/535][10801] Loss_D: -0.047129 Loss_G: 0.005574 Loss_D_real: -0.008632 Loss_D_fake 0.038497
[108/5000][195/535][10802] Loss_D: -0.045378 Loss_G: 0.038973 Loss_D_real: -0.040088 Loss_D_fake 0.005290
[108/5000][200/535][10803] Loss_D: -0.045690 Loss_G: 0.000544 Loss_D_real: -0.015188 Loss_D_fake 0.030502
[108/5000][205/535][10804] Loss_D: -0.045399 Loss_G: 0.030487 Loss_D_real: -0.036685 Loss_D_fake 0.008714
[108/5000][210/535][10805] Loss_D: -0.044530 Loss_G: 0.024379 Loss_D_real: -0.028687 Loss_D_fake 0.015843
[108/5000][215/535][10806] Loss_D: -0.048074 Loss_G: 0.040676 Loss_D_real: -0.039841 Loss_D_fake 0.008233
[108/5000][220/535][10807] Loss_D: -0.048550 Loss_G: 0.036530 Loss_D_real: -0.040988 Loss_D_fake 0.007562
[108/5000][225/535][10808] Loss_D: -0.047375 Loss_G: 0.051942 Loss_D_real: -0.044237 Loss_D_fake 0.003138
[108/5000][230/535][10809] Loss_D: -0.047501 Loss_G: 0.031040 Loss_D_real: -0.028006 Loss_D_fake 0.019496
[108/5000][235/535][10810] Loss_D: -0.048289 Loss_G: 0.042795 Loss_D_real: -0.046162 Loss_D_fake 0.002127
[108/5000][240/535][10811] Loss_D: -0.044848 Loss_G: 0.042639 Loss_D_real: -0.036339 Loss_D_fake 0.008509
[108/5000][245/535][10812] Loss_D: -0.046750 Loss_G: -0.012612 Loss_D_real: -0.009622 Loss_D_fake 0.037128
[108/5000][250/535][10813] Loss_D: -0.044617 Loss_G: 0.043794 Loss_D_real: -0.041331 Loss_D_fake 0.003286
[108/5000][255/535][10814] Loss_D: -0.047737 Loss_G: 0.027004 Loss_D_real: -0.034677 Loss_D_fake 0.013060
[108/5000][260/535][10815] Loss_D: -0.046746 Loss_G: 0.014038 Loss_D_real: -0.018776 Loss_D_fake 0.027970
[108/5000][265/535][10816] Loss_D: -0.044708 Loss_G: 0.048745 Loss_D_real: -0.049781 Loss_D_fake -0.005073
[108/5000][270/535][10817] Loss_D: -0.046153 Loss_G: -0.002224 Loss_D_real: -0.010249 Loss_D_fake 0.035904
[108/5000][275/535][10818] Loss_D: -0.044211 Loss_G: 0.032336 Loss_D_real: -0.039028 Loss_D_fake 0.005183
[108/5000][280/535][10819] Loss_D: -0.047078 Loss_G: 0.013721 Loss_D_real: -0.022159 Loss_D_fake 0.024919
[108/5000][285/535][10820] Loss_D: -0.047603 Loss_G: 0.050371 Loss_D_real: -0.044882 Loss_D_fake 0.002720
[108/5000][290/535][10821] Loss_D: -0.046232 Loss_G: 0.026587 Loss_D_real: -0.026412 Loss_D_fake 0.019820
[108/5000][295/535][10822] Loss_D: -0.046871 Loss_G: 0.034306 Loss_D_real: -0.042894 Loss_D_fake 0.003977
[108/5000][300/535][10823] Loss_D: -0.044224 Loss_G: 0.044780 Loss_D_real: -0.042524 Loss_D_fake 0.001700
[108/5000][305/535][10824] Loss_D: -0.047606 Loss_G: 0.020497 Loss_D_real: -0.026905 Loss_D_fake 0.020701
[108/5000][310/535][10825] Loss_D: -0.048810 Loss_G: 0.033362 Loss_D_real: -0.031951 Loss_D_fake 0.016859
[108/5000][315/535][10826] Loss_D: -0.045885 Loss_G: 0.019951 Loss_D_real: -0.021156 Loss_D_fake 0.024728
[108/5000][320/535][10827] Loss_D: -0.048189 Loss_G: 0.022448 Loss_D_real: -0.021962 Loss_D_fake 0.026227
[108/5000][325/535][10828] Loss_D: -0.047601 Loss_G: 0.029243 Loss_D_real: -0.036668 Loss_D_fake 0.010932
[108/5000][330/535][10829] Loss_D: -0.046793 Loss_G: 0.050957 Loss_D_real: -0.040202 Loss_D_fake 0.006591
[108/5000][335/535][10830] Loss_D: -0.045374 Loss_G: 0.004089 Loss_D_real: -0.009238 Loss_D_fake 0.036136
[108/5000][340/535][10831] Loss_D: -0.043598 Loss_G: 0.032411 Loss_D_real: -0.033734 Loss_D_fake 0.009863
[108/5000][345/535][10832] Loss_D: -0.047200 Loss_G: 0.011849 Loss_D_real: -0.025177 Loss_D_fake 0.022023
[108/5000][350/535][10833] Loss_D: -0.045951 Loss_G: 0.044278 Loss_D_real: -0.036303 Loss_D_fake 0.009648
[108/5000][355/535][10834] Loss_D: -0.046644 Loss_G: -0.003060 Loss_D_real: -0.008394 Loss_D_fake 0.038250
[108/5000][360/535][10835] Loss_D: -0.044453 Loss_G: 0.033135 Loss_D_real: -0.043625 Loss_D_fake 0.000828
[108/5000][365/535][10836] Loss_D: -0.047158 Loss_G: 0.032422 Loss_D_real: -0.028487 Loss_D_fake 0.018671
[108/5000][370/535][10837] Loss_D: -0.047822 Loss_G: 0.024880 Loss_D_real: -0.025168 Loss_D_fake 0.022654
[108/5000][375/535][10838] Loss_D: -0.045142 Loss_G: 0.054440 Loss_D_real: -0.052020 Loss_D_fake -0.006878
[108/5000][380/535][10839] Loss_D: -0.044113 Loss_G: 0.003954 Loss_D_real: -0.012701 Loss_D_fake 0.031412
[108/5000][385/535][10840] Loss_D: -0.044361 Loss_G: 0.039215 Loss_D_real: -0.037693 Loss_D_fake 0.006668
[108/5000][390/535][10841] Loss_D: -0.045833 Loss_G: 0.031453 Loss_D_real: -0.027969 Loss_D_fake 0.017864
[108/5000][395/535][10842] Loss_D: -0.048946 Loss_G: 0.007054 Loss_D_real: -0.020882 Loss_D_fake 0.028065
[108/5000][400/535][10843] Loss_D: -0.047696 Loss_G: 0.045976 Loss_D_real: -0.040795 Loss_D_fake 0.006902
[108/5000][405/535][10844] Loss_D: -0.046229 Loss_G: 0.011352 Loss_D_real: -0.018038 Loss_D_fake 0.028190
[108/5000][410/535][10845] Loss_D: -0.045196 Loss_G: 0.035139 Loss_D_real: -0.036487 Loss_D_fake 0.008709
[108/5000][415/535][10846] Loss_D: -0.046955 Loss_G: 0.039562 Loss_D_real: -0.038400 Loss_D_fake 0.008555
[108/5000][420/535][10847] Loss_D: -0.048342 Loss_G: 0.009820 Loss_D_real: -0.015960 Loss_D_fake 0.032382
[108/5000][425/535][10848] Loss_D: -0.048473 Loss_G: 0.022202 Loss_D_real: -0.031398 Loss_D_fake 0.017075
[108/5000][430/535][10849] Loss_D: -0.050132 Loss_G: 0.022029 Loss_D_real: -0.029525 Loss_D_fake 0.020607
[108/5000][435/535][10850] Loss_D: -0.047841 Loss_G: 0.046909 Loss_D_real: -0.045221 Loss_D_fake 0.002620
[108/5000][440/535][10851] Loss_D: -0.045280 Loss_G: -0.004104 Loss_D_real: -0.005711 Loss_D_fake 0.039569
[108/5000][445/535][10852] Loss_D: -0.043051 Loss_G: 0.040714 Loss_D_real: -0.039861 Loss_D_fake 0.003190
[108/5000][450/535][10853] Loss_D: -0.044450 Loss_G: -0.005697 Loss_D_real: -0.007436 Loss_D_fake 0.037014
[108/5000][455/535][10854] Loss_D: -0.042445 Loss_G: 0.035039 Loss_D_real: -0.038872 Loss_D_fake 0.003574
[108/5000][460/535][10855] Loss_D: -0.046423 Loss_G: 0.006520 Loss_D_real: -0.018547 Loss_D_fake 0.027876
[108/5000][465/535][10856] Loss_D: -0.044445 Loss_G: 0.043652 Loss_D_real: -0.040968 Loss_D_fake 0.003477
[108/5000][470/535][10857] Loss_D: -0.046527 Loss_G: 0.017609 Loss_D_real: -0.020151 Loss_D_fake 0.026376
[108/5000][475/535][10858] Loss_D: -0.045259 Loss_G: 0.040081 Loss_D_real: -0.043201 Loss_D_fake 0.002058
[108/5000][480/535][10859] Loss_D: -0.048171 Loss_G: 0.013128 Loss_D_real: -0.021348 Loss_D_fake 0.026823
[108/5000][485/535][10860] Loss_D: -0.049382 Loss_G: 0.021700 Loss_D_real: -0.029109 Loss_D_fake 0.020272
[108/5000][490/535][10861] Loss_D: -0.046507 Loss_G: 0.043852 Loss_D_real: -0.046276 Loss_D_fake 0.000231
[108/5000][495/535][10862] Loss_D: -0.046584 Loss_G: 0.029788 Loss_D_real: -0.031291 Loss_D_fake 0.015293
[108/5000][500/535][10863] Loss_D: -0.047462 Loss_G: 0.019360 Loss_D_real: -0.028956 Loss_D_fake 0.018506
[108/5000][505/535][10864] Loss_D: -0.048533 Loss_G: 0.034069 Loss_D_real: -0.035693 Loss_D_fake 0.012841
[108/5000][510/535][10865] Loss_D: -0.046042 Loss_G: 0.014050 Loss_D_real: -0.024920 Loss_D_fake 0.021122
[108/5000][515/535][10866] Loss_D: -0.045597 Loss_G: 0.027417 Loss_D_real: -0.026813 Loss_D_fake 0.018784
[108/5000][520/535][10867] Loss_D: -0.045486 Loss_G: 0.012344 Loss_D_real: -0.018917 Loss_D_fake 0.026569
[108/5000][525/535][10868] Loss_D: -0.046306 Loss_G: 0.019746 Loss_D_real: -0.033950 Loss_D_fake 0.012356
[108/5000][530/535][10869] Loss_D: -0.046405 Loss_G: 0.017981 Loss_D_real: -0.025217 Loss_D_fake 0.021189
[108/5000][535/535][10870] Loss_D: -0.046146 Loss_G: 0.020574 Loss_D_real: -0.033173 Loss_D_fake 0.012973
[109/5000][5/535][10871] Loss_D: -0.043845 Loss_G: 0.010837 Loss_D_real: -0.022838 Loss_D_fake 0.021007
[109/5000][10/535][10872] Loss_D: -0.047496 Loss_G: 0.035853 Loss_D_real: -0.039242 Loss_D_fake 0.008255
[109/5000][15/535][10873] Loss_D: -0.045819 Loss_G: 0.014680 Loss_D_real: -0.020968 Loss_D_fake 0.024851
[109/5000][20/535][10874] Loss_D: -0.045608 Loss_G: 0.031937 Loss_D_real: -0.029635 Loss_D_fake 0.015972
[109/5000][25/535][10875] Loss_D: -0.045378 Loss_G: 0.003807 Loss_D_real: -0.014146 Loss_D_fake 0.031232
[109/5000][30/535][10876] Loss_D: -0.044015 Loss_G: 0.046187 Loss_D_real: -0.043996 Loss_D_fake 0.000019
[109/5000][35/535][10877] Loss_D: -0.046179 Loss_G: 0.018626 Loss_D_real: -0.031181 Loss_D_fake 0.014998
[109/5000][40/535][10878] Loss_D: -0.044023 Loss_G: 0.051246 Loss_D_real: -0.053110 Loss_D_fake -0.009086
[109/5000][45/535][10879] Loss_D: -0.047631 Loss_G: 0.006639 Loss_D_real: -0.017885 Loss_D_fake 0.029746
[109/5000][50/535][10880] Loss_D: -0.045471 Loss_G: 0.043618 Loss_D_real: -0.041094 Loss_D_fake 0.004377
[109/5000][55/535][10881] Loss_D: -0.049624 Loss_G: 0.011619 Loss_D_real: -0.019586 Loss_D_fake 0.030038
[109/5000][60/535][10882] Loss_D: -0.047210 Loss_G: 0.048443 Loss_D_real: -0.043085 Loss_D_fake 0.004124
[109/5000][65/535][10883] Loss_D: -0.047697 Loss_G: 0.006711 Loss_D_real: -0.016709 Loss_D_fake 0.030988
[109/5000][70/535][10884] Loss_D: -0.046721 Loss_G: 0.028042 Loss_D_real: -0.027704 Loss_D_fake 0.019017
[109/5000][75/535][10885] Loss_D: -0.046715 Loss_G: 0.021327 Loss_D_real: -0.026803 Loss_D_fake 0.019912
[109/5000][80/535][10886] Loss_D: -0.048637 Loss_G: 0.029003 Loss_D_real: -0.030404 Loss_D_fake 0.018233
[109/5000][85/535][10887] Loss_D: -0.048903 Loss_G: 0.044917 Loss_D_real: -0.038794 Loss_D_fake 0.010109
[109/5000][90/535][10888] Loss_D: -0.046761 Loss_G: -0.004462 Loss_D_real: -0.006581 Loss_D_fake 0.040180
[109/5000][95/535][10889] Loss_D: -0.043292 Loss_G: 0.048334 Loss_D_real: -0.051223 Loss_D_fake -0.007931
[109/5000][100/535][10890] Loss_D: -0.048200 Loss_G: 0.037435 Loss_D_real: -0.031161 Loss_D_fake 0.017038
[109/5000][105/535][10891] Loss_D: -0.048386 Loss_G: 0.005532 Loss_D_real: -0.016748 Loss_D_fake 0.031638
[109/5000][110/535][10892] Loss_D: -0.045178 Loss_G: 0.047974 Loss_D_real: -0.045763 Loss_D_fake -0.000584
[109/5000][115/535][10893] Loss_D: -0.045267 Loss_G: -0.005562 Loss_D_real: -0.003048 Loss_D_fake 0.042220
[109/5000][120/535][10894] Loss_D: -0.044866 Loss_G: 0.032442 Loss_D_real: -0.037200 Loss_D_fake 0.007666
[109/5000][125/535][10895] Loss_D: -0.047131 Loss_G: 0.019792 Loss_D_real: -0.025327 Loss_D_fake 0.021803
[109/5000][130/535][10896] Loss_D: -0.047326 Loss_G: 0.005678 Loss_D_real: -0.022662 Loss_D_fake 0.024664
[109/5000][135/535][10897] Loss_D: -0.047376 Loss_G: 0.054117 Loss_D_real: -0.049047 Loss_D_fake -0.001670
[109/5000][140/535][10898] Loss_D: -0.045372 Loss_G: -0.001007 Loss_D_real: -0.007334 Loss_D_fake 0.038038
[109/5000][145/535][10899] Loss_D: -0.044294 Loss_G: 0.039835 Loss_D_real: -0.042571 Loss_D_fake 0.001723
[109/5000][150/535][10900] Loss_D: -0.043387 Loss_G: 0.015933 Loss_D_real: -0.024623 Loss_D_fake 0.018764
[109/5000][155/535][10901] Loss_D: -0.046449 Loss_G: 0.040037 Loss_D_real: -0.040754 Loss_D_fake 0.005696
[109/5000][160/535][10902] Loss_D: -0.049492 Loss_G: 0.004925 Loss_D_real: -0.014397 Loss_D_fake 0.035095
[109/5000][165/535][10903] Loss_D: -0.047065 Loss_G: 0.040501 Loss_D_real: -0.044770 Loss_D_fake 0.002295
[109/5000][170/535][10904] Loss_D: -0.045983 Loss_G: 0.003187 Loss_D_real: -0.016415 Loss_D_fake 0.029568
[109/5000][175/535][10905] Loss_D: -0.046344 Loss_G: 0.033333 Loss_D_real: -0.035442 Loss_D_fake 0.010902
[109/5000][180/535][10906] Loss_D: -0.045289 Loss_G: -0.004119 Loss_D_real: -0.007106 Loss_D_fake 0.038184
[109/5000][185/535][10907] Loss_D: -0.043347 Loss_G: 0.035100 Loss_D_real: -0.046808 Loss_D_fake -0.003461
[109/5000][190/535][10908] Loss_D: -0.047279 Loss_G: 0.012579 Loss_D_real: -0.013626 Loss_D_fake 0.033653
[109/5000][195/535][10909] Loss_D: -0.045242 Loss_G: 0.008325 Loss_D_real: -0.013832 Loss_D_fake 0.031410
[109/5000][200/535][10910] Loss_D: -0.044483 Loss_G: 0.033382 Loss_D_real: -0.038206 Loss_D_fake 0.006277
[109/5000][205/535][10911] Loss_D: -0.044949 Loss_G: 0.024089 Loss_D_real: -0.026399 Loss_D_fake 0.018551
[109/5000][210/535][10912] Loss_D: -0.046096 Loss_G: 0.026021 Loss_D_real: -0.027171 Loss_D_fake 0.018926
[109/5000][215/535][10913] Loss_D: -0.047389 Loss_G: 0.018618 Loss_D_real: -0.021365 Loss_D_fake 0.026024
[109/5000][220/535][10914] Loss_D: -0.046283 Loss_G: 0.040248 Loss_D_real: -0.038780 Loss_D_fake 0.007503
[109/5000][225/535][10915] Loss_D: -0.047256 Loss_G: 0.040397 Loss_D_real: -0.036991 Loss_D_fake 0.010266
[109/5000][230/535][10916] Loss_D: -0.047778 Loss_G: 0.003205 Loss_D_real: -0.012640 Loss_D_fake 0.035138
[109/5000][235/535][10917] Loss_D: -0.046817 Loss_G: 0.039656 Loss_D_real: -0.036918 Loss_D_fake 0.009899
[109/5000][240/535][10918] Loss_D: -0.044706 Loss_G: 0.016607 Loss_D_real: -0.016954 Loss_D_fake 0.027752
[109/5000][245/535][10919] Loss_D: -0.044052 Loss_G: 0.041812 Loss_D_real: -0.049212 Loss_D_fake -0.005160
[109/5000][250/535][10920] Loss_D: -0.045838 Loss_G: 0.040915 Loss_D_real: -0.033409 Loss_D_fake 0.012429
[109/5000][255/535][10921] Loss_D: -0.046917 Loss_G: 0.036061 Loss_D_real: -0.034964 Loss_D_fake 0.011954
[109/5000][260/535][10922] Loss_D: -0.046327 Loss_G: 0.010107 Loss_D_real: -0.013559 Loss_D_fake 0.032768
[109/5000][265/535][10923] Loss_D: -0.044990 Loss_G: 0.013212 Loss_D_real: -0.021228 Loss_D_fake 0.023762
[109/5000][270/535][10924] Loss_D: -0.046585 Loss_G: 0.046722 Loss_D_real: -0.044550 Loss_D_fake 0.002035
[109/5000][275/535][10925] Loss_D: -0.047304 Loss_G: 0.033212 Loss_D_real: -0.032692 Loss_D_fake 0.014612
[109/5000][280/535][10926] Loss_D: -0.050343 Loss_G: 0.026267 Loss_D_real: -0.026793 Loss_D_fake 0.023551
[109/5000][285/535][10927] Loss_D: -0.048820 Loss_G: -0.004419 Loss_D_real: -0.014601 Loss_D_fake 0.034219
[109/5000][290/535][10928] Loss_D: -0.044816 Loss_G: 0.047062 Loss_D_real: -0.047700 Loss_D_fake -0.002884
[109/5000][295/535][10929] Loss_D: -0.045911 Loss_G: 0.011499 Loss_D_real: -0.019739 Loss_D_fake 0.026172
[109/5000][300/535][10930] Loss_D: -0.048207 Loss_G: 0.032916 Loss_D_real: -0.042145 Loss_D_fake 0.006061
[109/5000][305/535][10931] Loss_D: -0.046222 Loss_G: -0.000445 Loss_D_real: -0.015230 Loss_D_fake 0.030992
[109/5000][310/535][10932] Loss_D: -0.044183 Loss_G: 0.045205 Loss_D_real: -0.043272 Loss_D_fake 0.000911
[109/5000][315/535][10933] Loss_D: -0.045572 Loss_G: 0.028503 Loss_D_real: -0.030645 Loss_D_fake 0.014927
[109/5000][320/535][10934] Loss_D: -0.047699 Loss_G: 0.012632 Loss_D_real: -0.018723 Loss_D_fake 0.028976
[109/5000][325/535][10935] Loss_D: -0.048203 Loss_G: 0.036286 Loss_D_real: -0.035730 Loss_D_fake 0.012473
[109/5000][330/535][10936] Loss_D: -0.044075 Loss_G: -0.001205 Loss_D_real: -0.004046 Loss_D_fake 0.040029
[109/5000][335/535][10937] Loss_D: -0.045965 Loss_G: 0.045631 Loss_D_real: -0.043811 Loss_D_fake 0.002154
[109/5000][340/535][10938] Loss_D: -0.046527 Loss_G: 0.000555 Loss_D_real: -0.008213 Loss_D_fake 0.038313
[109/5000][345/535][10939] Loss_D: -0.043923 Loss_G: 0.047494 Loss_D_real: -0.044367 Loss_D_fake -0.000444
[109/5000][350/535][10940] Loss_D: -0.045305 Loss_G: -0.006862 Loss_D_real: -0.001279 Loss_D_fake 0.044025
[109/5000][355/535][10941] Loss_D: -0.044353 Loss_G: 0.048937 Loss_D_real: -0.047238 Loss_D_fake -0.002885
[109/5000][360/535][10942] Loss_D: -0.044106 Loss_G: 0.017177 Loss_D_real: -0.021988 Loss_D_fake 0.022118
[109/5000][365/535][10943] Loss_D: -0.046778 Loss_G: 0.025861 Loss_D_real: -0.030761 Loss_D_fake 0.016017
[109/5000][370/535][10944] Loss_D: -0.047138 Loss_G: 0.016746 Loss_D_real: -0.018812 Loss_D_fake 0.028326
[109/5000][375/535][10945] Loss_D: -0.046891 Loss_G: 0.016314 Loss_D_real: -0.022640 Loss_D_fake 0.024251
[109/5000][380/535][10946] Loss_D: -0.047303 Loss_G: 0.010461 Loss_D_real: -0.023310 Loss_D_fake 0.023993
[109/5000][385/535][10947] Loss_D: -0.044978 Loss_G: 0.032697 Loss_D_real: -0.037098 Loss_D_fake 0.007879
[109/5000][390/535][10948] Loss_D: -0.044704 Loss_G: 0.001245 Loss_D_real: -0.008711 Loss_D_fake 0.035993
[109/5000][395/535][10949] Loss_D: -0.046048 Loss_G: 0.043970 Loss_D_real: -0.042769 Loss_D_fake 0.003278
[109/5000][400/535][10950] Loss_D: -0.047292 Loss_G: 0.021957 Loss_D_real: -0.024900 Loss_D_fake 0.022393
[109/5000][405/535][10951] Loss_D: -0.046358 Loss_G: 0.038730 Loss_D_real: -0.036648 Loss_D_fake 0.009710
[109/5000][410/535][10952] Loss_D: -0.047085 Loss_G: 0.029425 Loss_D_real: -0.034116 Loss_D_fake 0.012969
[109/5000][415/535][10953] Loss_D: -0.045364 Loss_G: 0.044386 Loss_D_real: -0.037692 Loss_D_fake 0.007671
[109/5000][420/535][10954] Loss_D: -0.046197 Loss_G: 0.029727 Loss_D_real: -0.028721 Loss_D_fake 0.017476
[109/5000][425/535][10955] Loss_D: -0.047013 Loss_G: 0.004853 Loss_D_real: -0.018889 Loss_D_fake 0.028124
[109/5000][430/535][10956] Loss_D: -0.045596 Loss_G: 0.052795 Loss_D_real: -0.050875 Loss_D_fake -0.005279
[109/5000][435/535][10957] Loss_D: -0.044368 Loss_G: -0.003233 Loss_D_real: -0.003708 Loss_D_fake 0.040660
[109/5000][440/535][10958] Loss_D: -0.042982 Loss_G: 0.036392 Loss_D_real: -0.039944 Loss_D_fake 0.003038
[109/5000][445/535][10959] Loss_D: -0.044897 Loss_G: 0.025869 Loss_D_real: -0.029554 Loss_D_fake 0.015342
[109/5000][450/535][10960] Loss_D: -0.048266 Loss_G: 0.037612 Loss_D_real: -0.031323 Loss_D_fake 0.016942
[109/5000][455/535][10961] Loss_D: -0.049124 Loss_G: 0.014061 Loss_D_real: -0.022730 Loss_D_fake 0.026393
[109/5000][460/535][10962] Loss_D: -0.047441 Loss_G: 0.047173 Loss_D_real: -0.044649 Loss_D_fake 0.002792
[109/5000][465/535][10963] Loss_D: -0.047496 Loss_G: 0.022309 Loss_D_real: -0.025304 Loss_D_fake 0.022192
[109/5000][470/535][10964] Loss_D: -0.047418 Loss_G: 0.048289 Loss_D_real: -0.041133 Loss_D_fake 0.006285
[109/5000][475/535][10965] Loss_D: -0.047357 Loss_G: 0.013024 Loss_D_real: -0.024540 Loss_D_fake 0.022816
[109/5000][480/535][10966] Loss_D: -0.046219 Loss_G: 0.046689 Loss_D_real: -0.048624 Loss_D_fake -0.002405
[109/5000][485/535][10967] Loss_D: -0.043903 Loss_G: 0.029014 Loss_D_real: -0.028195 Loss_D_fake 0.015708
[109/5000][490/535][10968] Loss_D: -0.045553 Loss_G: 0.024957 Loss_D_real: -0.024362 Loss_D_fake 0.021191
[109/5000][495/535][10969] Loss_D: -0.047317 Loss_G: 0.021893 Loss_D_real: -0.023276 Loss_D_fake 0.024041
[109/5000][500/535][10970] Loss_D: -0.044594 Loss_G: 0.052394 Loss_D_real: -0.044730 Loss_D_fake -0.000135
[109/5000][505/535][10971] Loss_D: -0.045491 Loss_G: -0.011076 Loss_D_real: 0.000855 Loss_D_fake 0.046346
[109/5000][510/535][10972] Loss_D: -0.043837 Loss_G: 0.032590 Loss_D_real: -0.030392 Loss_D_fake 0.013445
[109/5000][515/535][10973] Loss_D: -0.045688 Loss_G: 0.005576 Loss_D_real: -0.014069 Loss_D_fake 0.031619
[109/5000][520/535][10974] Loss_D: -0.043198 Loss_G: 0.033075 Loss_D_real: -0.038234 Loss_D_fake 0.004963
[109/5000][525/535][10975] Loss_D: -0.044323 Loss_G: 0.011889 Loss_D_real: -0.012372 Loss_D_fake 0.031950
[109/5000][530/535][10976] Loss_D: -0.046453 Loss_G: 0.046176 Loss_D_real: -0.044747 Loss_D_fake 0.001707
[109/5000][535/535][10977] Loss_D: -0.042946 Loss_G: 0.005275 Loss_D_real: -0.008081 Loss_D_fake 0.034865
[110/5000][5/535][10978] Loss_D: -0.046000 Loss_G: 0.039510 Loss_D_real: -0.038958 Loss_D_fake 0.007042
[110/5000][10/535][10979] Loss_D: -0.046348 Loss_G: 0.032700 Loss_D_real: -0.037908 Loss_D_fake 0.008440
[110/5000][15/535][10980] Loss_D: -0.047925 Loss_G: 0.020093 Loss_D_real: -0.023257 Loss_D_fake 0.024667
[110/5000][20/535][10981] Loss_D: -0.046651 Loss_G: 0.033425 Loss_D_real: -0.036565 Loss_D_fake 0.010086
[110/5000][25/535][10982] Loss_D: -0.044544 Loss_G: 0.004394 Loss_D_real: -0.005970 Loss_D_fake 0.038573
[110/5000][30/535][10983] Loss_D: -0.045649 Loss_G: 0.042201 Loss_D_real: -0.040207 Loss_D_fake 0.005442
[110/5000][35/535][10984] Loss_D: -0.045378 Loss_G: 0.019858 Loss_D_real: -0.025530 Loss_D_fake 0.019847
[110/5000][40/535][10985] Loss_D: -0.046904 Loss_G: 0.033994 Loss_D_real: -0.034819 Loss_D_fake 0.012085
[110/5000][45/535][10986] Loss_D: -0.046986 Loss_G: 0.032059 Loss_D_real: -0.031210 Loss_D_fake 0.015775
[110/5000][50/535][10987] Loss_D: -0.046534 Loss_G: 0.037118 Loss_D_real: -0.040383 Loss_D_fake 0.006151
[110/5000][55/535][10988] Loss_D: -0.047203 Loss_G: 0.045947 Loss_D_real: -0.046082 Loss_D_fake 0.001121
[110/5000][60/535][10989] Loss_D: -0.046925 Loss_G: 0.028348 Loss_D_real: -0.028842 Loss_D_fake 0.018083
[110/5000][65/535][10990] Loss_D: -0.049488 Loss_G: 0.040575 Loss_D_real: -0.041876 Loss_D_fake 0.007612
[110/5000][70/535][10991] Loss_D: -0.046732 Loss_G: 0.041006 Loss_D_real: -0.042574 Loss_D_fake 0.004158
[110/5000][75/535][10992] Loss_D: -0.048355 Loss_G: -0.004534 Loss_D_real: -0.012845 Loss_D_fake 0.035510
[110/5000][80/535][10993] Loss_D: -0.046059 Loss_G: 0.019587 Loss_D_real: -0.023464 Loss_D_fake 0.022595
[110/5000][85/535][10994] Loss_D: -0.044683 Loss_G: 0.050589 Loss_D_real: -0.042168 Loss_D_fake 0.002515
[110/5000][90/535][10995] Loss_D: -0.040639 Loss_G: -0.006409 Loss_D_real: -0.000610 Loss_D_fake 0.040029
[110/5000][95/535][10996] Loss_D: -0.044174 Loss_G: 0.036263 Loss_D_real: -0.045967 Loss_D_fake -0.001793
[110/5000][100/535][10997] Loss_D: -0.045502 Loss_G: 0.018002 Loss_D_real: -0.029057 Loss_D_fake 0.016446
[110/5000][105/535][10998] Loss_D: -0.044335 Loss_G: 0.051051 Loss_D_real: -0.049156 Loss_D_fake -0.004821
[110/5000][110/535][10999] Loss_D: -0.047306 Loss_G: 0.011136 Loss_D_real: -0.019151 Loss_D_fake 0.028155
[110/5000][115/535][11000] Loss_D: -0.046701 Loss_G: 0.025555 Loss_D_real: -0.030258 Loss_D_fake 0.016443
[110/5000][215/535][11001] Loss_D: -0.048286 Loss_G: 0.002585 Loss_D_real: -0.015434 Loss_D_fake 0.032851
[110/5000][220/535][11002] Loss_D: -0.047443 Loss_G: 0.005990 Loss_D_real: -0.018162 Loss_D_fake 0.029281
[110/5000][225/535][11003] Loss_D: -0.042829 Loss_G: 0.007760 Loss_D_real: -0.017039 Loss_D_fake 0.025790
[110/5000][230/535][11004] Loss_D: -0.042510 Loss_G: 0.013575 Loss_D_real: -0.018794 Loss_D_fake 0.023716
[110/5000][235/535][11005] Loss_D: -0.043610 Loss_G: 0.019951 Loss_D_real: -0.025924 Loss_D_fake 0.017687
[110/5000][240/535][11006] Loss_D: -0.042542 Loss_G: -0.003326 Loss_D_real: -0.012982 Loss_D_fake 0.029560
[110/5000][245/535][11007] Loss_D: -0.045627 Loss_G: 0.028497 Loss_D_real: -0.034455 Loss_D_fake 0.011172
[110/5000][250/535][11008] Loss_D: -0.047289 Loss_G: 0.036415 Loss_D_real: -0.037690 Loss_D_fake 0.009599
[110/5000][255/535][11009] Loss_D: -0.046641 Loss_G: 0.034186 Loss_D_real: -0.033009 Loss_D_fake 0.013632
[110/5000][260/535][11010] Loss_D: -0.046940 Loss_G: 0.047155 Loss_D_real: -0.050089 Loss_D_fake -0.003148
[110/5000][265/535][11011] Loss_D: -0.044953 Loss_G: 0.012580 Loss_D_real: -0.020419 Loss_D_fake 0.024534
[110/5000][270/535][11012] Loss_D: -0.045685 Loss_G: 0.010807 Loss_D_real: -0.017319 Loss_D_fake 0.028366
[110/5000][275/535][11013] Loss_D: -0.045855 Loss_G: 0.034939 Loss_D_real: -0.036973 Loss_D_fake 0.008882
[110/5000][280/535][11014] Loss_D: -0.047144 Loss_G: 0.012934 Loss_D_real: -0.025931 Loss_D_fake 0.021213
[110/5000][285/535][11015] Loss_D: -0.046549 Loss_G: 0.021288 Loss_D_real: -0.026175 Loss_D_fake 0.020374
[110/5000][290/535][11016] Loss_D: -0.046814 Loss_G: 0.026344 Loss_D_real: -0.034373 Loss_D_fake 0.012442
[110/5000][295/535][11017] Loss_D: -0.043848 Loss_G: 0.033864 Loss_D_real: -0.034872 Loss_D_fake 0.008975
[110/5000][300/535][11018] Loss_D: -0.044936 Loss_G: 0.054260 Loss_D_real: -0.051876 Loss_D_fake -0.006940
[110/5000][305/535][11019] Loss_D: -0.044500 Loss_G: 0.006575 Loss_D_real: -0.011220 Loss_D_fake 0.033280
[110/5000][310/535][11020] Loss_D: -0.045691 Loss_G: 0.033428 Loss_D_real: -0.034942 Loss_D_fake 0.010749
[110/5000][315/535][11021] Loss_D: -0.046120 Loss_G: 0.005781 Loss_D_real: -0.015856 Loss_D_fake 0.030264
[110/5000][320/535][11022] Loss_D: -0.047421 Loss_G: 0.035362 Loss_D_real: -0.034201 Loss_D_fake 0.013220
[110/5000][325/535][11023] Loss_D: -0.048033 Loss_G: 0.019466 Loss_D_real: -0.029559 Loss_D_fake 0.018473
[110/5000][330/535][11024] Loss_D: -0.045125 Loss_G: 0.056824 Loss_D_real: -0.051002 Loss_D_fake -0.005877
[110/5000][335/535][11025] Loss_D: -0.044306 Loss_G: -0.000376 Loss_D_real: -0.007464 Loss_D_fake 0.036842
[110/5000][340/535][11026] Loss_D: -0.044708 Loss_G: 0.042347 Loss_D_real: -0.041462 Loss_D_fake 0.003246
[110/5000][345/535][11027] Loss_D: -0.048125 Loss_G: 0.004890 Loss_D_real: -0.017120 Loss_D_fake 0.031006
[110/5000][350/535][11028] Loss_D: -0.046950 Loss_G: 0.026567 Loss_D_real: -0.032554 Loss_D_fake 0.014397
[110/5000][355/535][11029] Loss_D: -0.045041 Loss_G: 0.033628 Loss_D_real: -0.031875 Loss_D_fake 0.013167
[110/5000][360/535][11030] Loss_D: -0.047543 Loss_G: 0.029151 Loss_D_real: -0.034476 Loss_D_fake 0.013066
[110/5000][365/535][11031] Loss_D: -0.047293 Loss_G: 0.009496 Loss_D_real: -0.021316 Loss_D_fake 0.025977
[110/5000][370/535][11032] Loss_D: -0.047475 Loss_G: 0.021836 Loss_D_real: -0.028128 Loss_D_fake 0.019347
[110/5000][375/535][11033] Loss_D: -0.046545 Loss_G: 0.048213 Loss_D_real: -0.043480 Loss_D_fake 0.003064
[110/5000][380/535][11034] Loss_D: -0.044653 Loss_G: -0.009775 Loss_D_real: -0.004640 Loss_D_fake 0.040013
[110/5000][385/535][11035] Loss_D: -0.043814 Loss_G: 0.036808 Loss_D_real: -0.039044 Loss_D_fake 0.004770
[110/5000][390/535][11036] Loss_D: -0.044518 Loss_G: 0.004135 Loss_D_real: -0.011962 Loss_D_fake 0.032556
[110/5000][395/535][11037] Loss_D: -0.045910 Loss_G: 0.024439 Loss_D_real: -0.028867 Loss_D_fake 0.017043
[110/5000][400/535][11038] Loss_D: -0.048513 Loss_G: 0.028630 Loss_D_real: -0.031537 Loss_D_fake 0.016976
[110/5000][405/535][11039] Loss_D: -0.048156 Loss_G: 0.022802 Loss_D_real: -0.029905 Loss_D_fake 0.018251
[110/5000][410/535][11040] Loss_D: -0.048525 Loss_G: 0.012269 Loss_D_real: -0.017297 Loss_D_fake 0.031228
[110/5000][415/535][11041] Loss_D: -0.042797 Loss_G: 0.047113 Loss_D_real: -0.050142 Loss_D_fake -0.007345
[110/5000][420/535][11042] Loss_D: -0.045620 Loss_G: 0.001109 Loss_D_real: -0.013088 Loss_D_fake 0.032533
[110/5000][425/535][11043] Loss_D: -0.044396 Loss_G: 0.022322 Loss_D_real: -0.025998 Loss_D_fake 0.018397
[110/5000][430/535][11044] Loss_D: -0.047171 Loss_G: 0.043960 Loss_D_real: -0.042765 Loss_D_fake 0.004406
[110/5000][435/535][11045] Loss_D: -0.045976 Loss_G: 0.008121 Loss_D_real: -0.016857 Loss_D_fake 0.029118
[110/5000][440/535][11046] Loss_D: -0.047060 Loss_G: 0.031218 Loss_D_real: -0.029850 Loss_D_fake 0.017210
[110/5000][445/535][11047] Loss_D: -0.047044 Loss_G: 0.003435 Loss_D_real: -0.015664 Loss_D_fake 0.031380
[110/5000][450/535][11048] Loss_D: -0.044195 Loss_G: 0.042549 Loss_D_real: -0.039779 Loss_D_fake 0.004415
[110/5000][455/535][11049] Loss_D: -0.044530 Loss_G: 0.006736 Loss_D_real: -0.016120 Loss_D_fake 0.028410
[110/5000][460/535][11050] Loss_D: -0.045371 Loss_G: 0.039763 Loss_D_real: -0.040482 Loss_D_fake 0.004890
[110/5000][465/535][11051] Loss_D: -0.046932 Loss_G: 0.009469 Loss_D_real: -0.016537 Loss_D_fake 0.030394
[110/5000][470/535][11052] Loss_D: -0.045618 Loss_G: 0.026168 Loss_D_real: -0.029236 Loss_D_fake 0.016381
[110/5000][475/535][11053] Loss_D: -0.046732 Loss_G: 0.022147 Loss_D_real: -0.025923 Loss_D_fake 0.020809
[110/5000][480/535][11054] Loss_D: -0.045033 Loss_G: 0.036547 Loss_D_real: -0.034552 Loss_D_fake 0.010482
[110/5000][485/535][11055] Loss_D: -0.047173 Loss_G: 0.015218 Loss_D_real: -0.026549 Loss_D_fake 0.020623
[110/5000][490/535][11056] Loss_D: -0.049353 Loss_G: 0.038264 Loss_D_real: -0.038786 Loss_D_fake 0.010567
[110/5000][495/535][11057] Loss_D: -0.045005 Loss_G: 0.050757 Loss_D_real: -0.045733 Loss_D_fake -0.000728
[110/5000][500/535][11058] Loss_D: -0.047850 Loss_G: 0.010784 Loss_D_real: -0.018899 Loss_D_fake 0.028951
[110/5000][505/535][11059] Loss_D: -0.044778 Loss_G: 0.033316 Loss_D_real: -0.034699 Loss_D_fake 0.010079
[110/5000][510/535][11060] Loss_D: -0.048912 Loss_G: 0.017825 Loss_D_real: -0.026813 Loss_D_fake 0.022099
[110/5000][515/535][11061] Loss_D: -0.045978 Loss_G: 0.051309 Loss_D_real: -0.045271 Loss_D_fake 0.000707
[110/5000][520/535][11062] Loss_D: -0.043863 Loss_G: -0.008955 Loss_D_real: -0.001885 Loss_D_fake 0.041978
[110/5000][525/535][11063] Loss_D: -0.043155 Loss_G: 0.031757 Loss_D_real: -0.033213 Loss_D_fake 0.009943
[110/5000][530/535][11064] Loss_D: -0.046308 Loss_G: -0.008544 Loss_D_real: -0.010160 Loss_D_fake 0.036147
[110/5000][535/535][11065] Loss_D: -0.041800 Loss_G: 0.039289 Loss_D_real: -0.044166 Loss_D_fake -0.002366
[111/5000][5/535][11066] Loss_D: -0.046338 Loss_G: 0.042108 Loss_D_real: -0.038036 Loss_D_fake 0.008302
[111/5000][10/535][11067] Loss_D: -0.048130 Loss_G: 0.024772 Loss_D_real: -0.028734 Loss_D_fake 0.019396
[111/5000][15/535][11068] Loss_D: -0.045917 Loss_G: 0.046079 Loss_D_real: -0.046573 Loss_D_fake -0.000656
[111/5000][20/535][11069] Loss_D: -0.046603 Loss_G: 0.022580 Loss_D_real: -0.021036 Loss_D_fake 0.025567
[111/5000][25/535][11070] Loss_D: -0.045710 Loss_G: 0.012385 Loss_D_real: -0.025466 Loss_D_fake 0.020244
[111/5000][30/535][11071] Loss_D: -0.046523 Loss_G: 0.052448 Loss_D_real: -0.045366 Loss_D_fake 0.001158
[111/5000][35/535][11072] Loss_D: -0.046110 Loss_G: 0.009171 Loss_D_real: -0.020113 Loss_D_fake 0.025998
[111/5000][40/535][11073] Loss_D: -0.046960 Loss_G: 0.029358 Loss_D_real: -0.031549 Loss_D_fake 0.015411
[111/5000][45/535][11074] Loss_D: -0.047693 Loss_G: 0.047771 Loss_D_real: -0.042317 Loss_D_fake 0.005376
[111/5000][50/535][11075] Loss_D: -0.047657 Loss_G: 0.012327 Loss_D_real: -0.023895 Loss_D_fake 0.023762
[111/5000][55/535][11076] Loss_D: -0.045651 Loss_G: 0.052668 Loss_D_real: -0.052542 Loss_D_fake -0.006891
[111/5000][60/535][11077] Loss_D: -0.047474 Loss_G: 0.019571 Loss_D_real: -0.024753 Loss_D_fake 0.022720
[111/5000][65/535][11078] Loss_D: -0.044989 Loss_G: 0.047931 Loss_D_real: -0.044402 Loss_D_fake 0.000587
[111/5000][70/535][11079] Loss_D: -0.043828 Loss_G: 0.009454 Loss_D_real: -0.024140 Loss_D_fake 0.019689
[111/5000][75/535][11080] Loss_D: -0.046161 Loss_G: 0.037247 Loss_D_real: -0.038629 Loss_D_fake 0.007532
[111/5000][80/535][11081] Loss_D: -0.048045 Loss_G: 0.037021 Loss_D_real: -0.035318 Loss_D_fake 0.012726
[111/5000][85/535][11082] Loss_D: -0.048430 Loss_G: 0.009253 Loss_D_real: -0.023774 Loss_D_fake 0.024657
[111/5000][90/535][11083] Loss_D: -0.045948 Loss_G: 0.025945 Loss_D_real: -0.026466 Loss_D_fake 0.019482
[111/5000][95/535][11084] Loss_D: -0.045329 Loss_G: 0.003236 Loss_D_real: -0.010969 Loss_D_fake 0.034360
[111/5000][100/535][11085] Loss_D: -0.044311 Loss_G: 0.046104 Loss_D_real: -0.042676 Loss_D_fake 0.001634
[111/5000][105/535][11086] Loss_D: -0.047480 Loss_G: 0.045449 Loss_D_real: -0.040526 Loss_D_fake 0.006954
[111/5000][110/535][11087] Loss_D: -0.047334 Loss_G: 0.014483 Loss_D_real: -0.022901 Loss_D_fake 0.024433
[111/5000][115/535][11088] Loss_D: -0.043936 Loss_G: 0.052465 Loss_D_real: -0.049247 Loss_D_fake -0.005310
[111/5000][120/535][11089] Loss_D: -0.039868 Loss_G: -0.005953 Loss_D_real: 0.003005 Loss_D_fake 0.042874
[111/5000][125/535][11090] Loss_D: -0.044339 Loss_G: 0.034421 Loss_D_real: -0.035303 Loss_D_fake 0.009036
[111/5000][130/535][11091] Loss_D: -0.043046 Loss_G: 0.012756 Loss_D_real: -0.019839 Loss_D_fake 0.023206
[111/5000][135/535][11092] Loss_D: -0.045129 Loss_G: 0.042604 Loss_D_real: -0.042014 Loss_D_fake 0.003115
[111/5000][140/535][11093] Loss_D: -0.048344 Loss_G: 0.041280 Loss_D_real: -0.033312 Loss_D_fake 0.015032
[111/5000][145/535][11094] Loss_D: -0.046847 Loss_G: 0.016822 Loss_D_real: -0.023554 Loss_D_fake 0.023292
[111/5000][150/535][11095] Loss_D: -0.049029 Loss_G: 0.012703 Loss_D_real: -0.019799 Loss_D_fake 0.029229
[111/5000][155/535][11096] Loss_D: -0.048472 Loss_G: 0.044039 Loss_D_real: -0.043702 Loss_D_fake 0.004770
[111/5000][160/535][11097] Loss_D: -0.048900 Loss_G: 0.010798 Loss_D_real: -0.018845 Loss_D_fake 0.030054
[111/5000][165/535][11098] Loss_D: -0.047480 Loss_G: 0.027941 Loss_D_real: -0.029998 Loss_D_fake 0.017482
[111/5000][170/535][11099] Loss_D: -0.046420 Loss_G: 0.002662 Loss_D_real: -0.014020 Loss_D_fake 0.032400
[111/5000][175/535][11100] Loss_D: -0.045276 Loss_G: 0.043196 Loss_D_real: -0.040060 Loss_D_fake 0.005216
[111/5000][180/535][11101] Loss_D: -0.044499 Loss_G: 0.001373 Loss_D_real: -0.010452 Loss_D_fake 0.034048
[111/5000][185/535][11102] Loss_D: -0.046601 Loss_G: 0.032100 Loss_D_real: -0.030945 Loss_D_fake 0.015657
[111/5000][190/535][11103] Loss_D: -0.045255 Loss_G: 0.010633 Loss_D_real: -0.015296 Loss_D_fake 0.029960
[111/5000][195/535][11104] Loss_D: -0.046404 Loss_G: 0.030999 Loss_D_real: -0.037032 Loss_D_fake 0.009372
[111/5000][200/535][11105] Loss_D: -0.044049 Loss_G: 0.018314 Loss_D_real: -0.020091 Loss_D_fake 0.023959
[111/5000][205/535][11106] Loss_D: -0.042937 Loss_G: -0.005628 Loss_D_real: -0.005215 Loss_D_fake 0.037723
[111/5000][210/535][11107] Loss_D: -0.045070 Loss_G: 0.025634 Loss_D_real: -0.029323 Loss_D_fake 0.015747
[111/5000][215/535][11108] Loss_D: -0.043724 Loss_G: 0.002090 Loss_D_real: -0.011395 Loss_D_fake 0.032330
[111/5000][220/535][11109] Loss_D: -0.046127 Loss_G: 0.031994 Loss_D_real: -0.040040 Loss_D_fake 0.006087
[111/5000][225/535][11110] Loss_D: -0.046823 Loss_G: 0.047033 Loss_D_real: -0.044143 Loss_D_fake 0.002680
[111/5000][230/535][11111] Loss_D: -0.044104 Loss_G: -0.002914 Loss_D_real: -0.004406 Loss_D_fake 0.039698
[111/5000][235/535][11112] Loss_D: -0.043774 Loss_G: 0.048153 Loss_D_real: -0.040147 Loss_D_fake 0.003627
[111/5000][240/535][11113] Loss_D: -0.046653 Loss_G: 0.032551 Loss_D_real: -0.020753 Loss_D_fake 0.025900
[111/5000][245/535][11114] Loss_D: -0.047399 Loss_G: 0.046091 Loss_D_real: -0.039785 Loss_D_fake 0.007614
[111/5000][250/535][11115] Loss_D: -0.048010 Loss_G: 0.017562 Loss_D_real: -0.021215 Loss_D_fake 0.026795
[111/5000][255/535][11116] Loss_D: -0.047194 Loss_G: 0.023324 Loss_D_real: -0.030321 Loss_D_fake 0.016874
[111/5000][260/535][11117] Loss_D: -0.049765 Loss_G: 0.029538 Loss_D_real: -0.029514 Loss_D_fake 0.020251
[111/5000][265/535][11118] Loss_D: -0.047189 Loss_G: 0.024558 Loss_D_real: -0.025091 Loss_D_fake 0.022098
[111/5000][270/535][11119] Loss_D: -0.049304 Loss_G: 0.035960 Loss_D_real: -0.038845 Loss_D_fake 0.010458
[111/5000][275/535][11120] Loss_D: -0.048021 Loss_G: -0.019297 Loss_D_real: -0.008535 Loss_D_fake 0.039486
[111/5000][280/535][11121] Loss_D: -0.043691 Loss_G: 0.031603 Loss_D_real: -0.038636 Loss_D_fake 0.005054
[111/5000][285/535][11122] Loss_D: -0.046578 Loss_G: 0.000846 Loss_D_real: -0.012286 Loss_D_fake 0.034292
[111/5000][290/535][11123] Loss_D: -0.044194 Loss_G: 0.047755 Loss_D_real: -0.048459 Loss_D_fake -0.004265
[111/5000][295/535][11124] Loss_D: -0.045621 Loss_G: 0.002848 Loss_D_real: -0.010834 Loss_D_fake 0.034786
[111/5000][300/535][11125] Loss_D: -0.044681 Loss_G: 0.029695 Loss_D_real: -0.034882 Loss_D_fake 0.009799
[111/5000][305/535][11126] Loss_D: -0.047942 Loss_G: 0.028622 Loss_D_real: -0.036116 Loss_D_fake 0.011826
[111/5000][310/535][11127] Loss_D: -0.048721 Loss_G: 0.035855 Loss_D_real: -0.036051 Loss_D_fake 0.012669
[111/5000][315/535][11128] Loss_D: -0.048067 Loss_G: 0.000726 Loss_D_real: -0.012402 Loss_D_fake 0.035666
[111/5000][320/535][11129] Loss_D: -0.047070 Loss_G: 0.030465 Loss_D_real: -0.035355 Loss_D_fake 0.011715
[111/5000][325/535][11130] Loss_D: -0.045780 Loss_G: 0.058183 Loss_D_real: -0.051200 Loss_D_fake -0.005420
[111/5000][330/535][11131] Loss_D: -0.044019 Loss_G: 0.005041 Loss_D_real: -0.010953 Loss_D_fake 0.033066
[111/5000][335/535][11132] Loss_D: -0.046054 Loss_G: 0.042157 Loss_D_real: -0.044151 Loss_D_fake 0.001904
[111/5000][340/535][11133] Loss_D: -0.045817 Loss_G: -0.006476 Loss_D_real: -0.007880 Loss_D_fake 0.037936
[111/5000][345/535][11134] Loss_D: -0.044952 Loss_G: 0.031612 Loss_D_real: -0.035627 Loss_D_fake 0.009326
[111/5000][350/535][11135] Loss_D: -0.046850 Loss_G: 0.010964 Loss_D_real: -0.020780 Loss_D_fake 0.026069
[111/5000][355/535][11136] Loss_D: -0.045475 Loss_G: 0.017978 Loss_D_real: -0.025686 Loss_D_fake 0.019789
[111/5000][360/535][11137] Loss_D: -0.045395 Loss_G: 0.032008 Loss_D_real: -0.040777 Loss_D_fake 0.004618
[111/5000][365/535][11138] Loss_D: -0.043592 Loss_G: -0.002697 Loss_D_real: -0.009027 Loss_D_fake 0.034565
[111/5000][370/535][11139] Loss_D: -0.044275 Loss_G: 0.030587 Loss_D_real: -0.029040 Loss_D_fake 0.015235
[111/5000][375/535][11140] Loss_D: -0.045954 Loss_G: 0.028037 Loss_D_real: -0.033280 Loss_D_fake 0.012674
[111/5000][380/535][11141] Loss_D: -0.047108 Loss_G: 0.012827 Loss_D_real: -0.022001 Loss_D_fake 0.025107
[111/5000][385/535][11142] Loss_D: -0.048136 Loss_G: 0.041517 Loss_D_real: -0.035182 Loss_D_fake 0.012955
[111/5000][390/535][11143] Loss_D: -0.046556 Loss_G: 0.010537 Loss_D_real: -0.017562 Loss_D_fake 0.028993
[111/5000][395/535][11144] Loss_D: -0.047239 Loss_G: 0.037039 Loss_D_real: -0.036477 Loss_D_fake 0.010762
[111/5000][400/535][11145] Loss_D: -0.045051 Loss_G: -0.014662 Loss_D_real: -0.009135 Loss_D_fake 0.035916
[111/5000][405/535][11146] Loss_D: -0.044153 Loss_G: 0.034281 Loss_D_real: -0.036411 Loss_D_fake 0.007742
[111/5000][410/535][11147] Loss_D: -0.043694 Loss_G: 0.029496 Loss_D_real: -0.034414 Loss_D_fake 0.009280
[111/5000][415/535][11148] Loss_D: -0.046258 Loss_G: 0.002114 Loss_D_real: -0.022380 Loss_D_fake 0.023878
[111/5000][420/535][11149] Loss_D: -0.046777 Loss_G: 0.053169 Loss_D_real: -0.048864 Loss_D_fake -0.002088
[111/5000][425/535][11150] Loss_D: -0.047546 Loss_G: 0.020678 Loss_D_real: -0.021744 Loss_D_fake 0.025801
[111/5000][430/535][11151] Loss_D: -0.046531 Loss_G: 0.020621 Loss_D_real: -0.028963 Loss_D_fake 0.017568
[111/5000][435/535][11152] Loss_D: -0.048326 Loss_G: 0.045853 Loss_D_real: -0.041823 Loss_D_fake 0.006503
[111/5000][440/535][11153] Loss_D: -0.046345 Loss_G: 0.000710 Loss_D_real: -0.005900 Loss_D_fake 0.040445
[111/5000][445/535][11154] Loss_D: -0.046602 Loss_G: 0.034482 Loss_D_real: -0.038692 Loss_D_fake 0.007911
[111/5000][450/535][11155] Loss_D: -0.047532 Loss_G: -0.004411 Loss_D_real: -0.013583 Loss_D_fake 0.033949
[111/5000][455/535][11156] Loss_D: -0.040279 Loss_G: 0.051570 Loss_D_real: -0.051727 Loss_D_fake -0.011448
[111/5000][460/535][11157] Loss_D: -0.043083 Loss_G: -0.001311 Loss_D_real: -0.004636 Loss_D_fake 0.038447
[111/5000][465/535][11158] Loss_D: -0.044267 Loss_G: 0.022837 Loss_D_real: -0.029891 Loss_D_fake 0.014376
[111/5000][470/535][11159] Loss_D: -0.046930 Loss_G: 0.011332 Loss_D_real: -0.014242 Loss_D_fake 0.032689
[111/5000][475/535][11160] Loss_D: -0.046872 Loss_G: 0.033230 Loss_D_real: -0.033508 Loss_D_fake 0.013363
[111/5000][480/535][11161] Loss_D: -0.046866 Loss_G: 0.001606 Loss_D_real: -0.010146 Loss_D_fake 0.036721
[111/5000][485/535][11162] Loss_D: -0.045710 Loss_G: 0.024980 Loss_D_real: -0.031982 Loss_D_fake 0.013728
[111/5000][490/535][11163] Loss_D: -0.047934 Loss_G: 0.016490 Loss_D_real: -0.019766 Loss_D_fake 0.028168
[111/5000][495/535][11164] Loss_D: -0.046550 Loss_G: 0.045040 Loss_D_real: -0.043433 Loss_D_fake 0.003117
[111/5000][500/535][11165] Loss_D: -0.044955 Loss_G: -0.004066 Loss_D_real: -0.007087 Loss_D_fake 0.037868
[111/5000][505/535][11166] Loss_D: -0.045390 Loss_G: 0.016239 Loss_D_real: -0.027114 Loss_D_fake 0.018276
[111/5000][510/535][11167] Loss_D: -0.045569 Loss_G: 0.033226 Loss_D_real: -0.034123 Loss_D_fake 0.011446
[111/5000][515/535][11168] Loss_D: -0.047423 Loss_G: 0.025539 Loss_D_real: -0.022325 Loss_D_fake 0.025098
[111/5000][520/535][11169] Loss_D: -0.047818 Loss_G: 0.019501 Loss_D_real: -0.025675 Loss_D_fake 0.022143
[111/5000][525/535][11170] Loss_D: -0.047817 Loss_G: 0.030198 Loss_D_real: -0.035269 Loss_D_fake 0.012548
[111/5000][530/535][11171] Loss_D: -0.047514 Loss_G: 0.038444 Loss_D_real: -0.032276 Loss_D_fake 0.015238
[111/5000][535/535][11172] Loss_D: -0.043499 Loss_G: 0.033105 Loss_D_real: -0.034532 Loss_D_fake 0.008967
[112/5000][5/535][11173] Loss_D: -0.047245 Loss_G: -0.010246 Loss_D_real: -0.011093 Loss_D_fake 0.036152
[112/5000][10/535][11174] Loss_D: -0.045229 Loss_G: 0.019678 Loss_D_real: -0.027736 Loss_D_fake 0.017493
[112/5000][15/535][11175] Loss_D: -0.043997 Loss_G: 0.044204 Loss_D_real: -0.043239 Loss_D_fake 0.000758
[112/5000][20/535][11176] Loss_D: -0.046770 Loss_G: 0.053906 Loss_D_real: -0.048363 Loss_D_fake -0.001593
[112/5000][25/535][11177] Loss_D: -0.044556 Loss_G: 0.009124 Loss_D_real: -0.016421 Loss_D_fake 0.028135
[112/5000][30/535][11178] Loss_D: -0.045164 Loss_G: 0.012353 Loss_D_real: -0.021659 Loss_D_fake 0.023505
[112/5000][35/535][11179] Loss_D: -0.045081 Loss_G: 0.048617 Loss_D_real: -0.046822 Loss_D_fake -0.001741
[112/5000][40/535][11180] Loss_D: -0.044453 Loss_G: -0.007435 Loss_D_real: -0.003824 Loss_D_fake 0.040629
[112/5000][45/535][11181] Loss_D: -0.043696 Loss_G: 0.041484 Loss_D_real: -0.040422 Loss_D_fake 0.003275
[112/5000][50/535][11182] Loss_D: -0.046649 Loss_G: 0.050971 Loss_D_real: -0.039210 Loss_D_fake 0.007440
[112/5000][55/535][11183] Loss_D: -0.044142 Loss_G: 0.026311 Loss_D_real: -0.029672 Loss_D_fake 0.014470
[112/5000][60/535][11184] Loss_D: -0.047552 Loss_G: 0.039605 Loss_D_real: -0.045520 Loss_D_fake 0.002032
[112/5000][65/535][11185] Loss_D: -0.049223 Loss_G: 0.023631 Loss_D_real: -0.030807 Loss_D_fake 0.018416
[112/5000][70/535][11186] Loss_D: -0.044981 Loss_G: 0.051583 Loss_D_real: -0.053359 Loss_D_fake -0.008378
[112/5000][75/535][11187] Loss_D: -0.044152 Loss_G: -0.003202 Loss_D_real: -0.005210 Loss_D_fake 0.038942
[112/5000][80/535][11188] Loss_D: -0.043921 Loss_G: 0.026094 Loss_D_real: -0.031336 Loss_D_fake 0.012585
[112/5000][85/535][11189] Loss_D: -0.043712 Loss_G: 0.032607 Loss_D_real: -0.033551 Loss_D_fake 0.010162
[112/5000][90/535][11190] Loss_D: -0.046337 Loss_G: 0.026602 Loss_D_real: -0.034197 Loss_D_fake 0.012140
[112/5000][95/535][11191] Loss_D: -0.044640 Loss_G: -0.006410 Loss_D_real: -0.000123 Loss_D_fake 0.044517
[112/5000][100/535][11192] Loss_D: -0.045085 Loss_G: 0.032423 Loss_D_real: -0.039402 Loss_D_fake 0.005684
[112/5000][105/535][11193] Loss_D: -0.047183 Loss_G: -0.001353 Loss_D_real: -0.010932 Loss_D_fake 0.036251
[112/5000][110/535][11194] Loss_D: -0.045062 Loss_G: 0.051656 Loss_D_real: -0.045896 Loss_D_fake -0.000833
[112/5000][115/535][11195] Loss_D: -0.045424 Loss_G: 0.024698 Loss_D_real: -0.024647 Loss_D_fake 0.020777
[112/5000][120/535][11196] Loss_D: -0.045018 Loss_G: 0.011507 Loss_D_real: -0.019206 Loss_D_fake 0.025813
[112/5000][125/535][11197] Loss_D: -0.044719 Loss_G: 0.039004 Loss_D_real: -0.036383 Loss_D_fake 0.008336
[112/5000][130/535][11198] Loss_D: -0.045909 Loss_G: 0.034546 Loss_D_real: -0.035783 Loss_D_fake 0.010126
[112/5000][135/535][11199] Loss_D: -0.048002 Loss_G: 0.014107 Loss_D_real: -0.019045 Loss_D_fake 0.028957
[112/5000][140/535][11200] Loss_D: -0.043331 Loss_G: 0.052540 Loss_D_real: -0.045557 Loss_D_fake -0.002226
[112/5000][145/535][11201] Loss_D: -0.044650 Loss_G: 0.001134 Loss_D_real: -0.017571 Loss_D_fake 0.027079
[112/5000][150/535][11202] Loss_D: -0.045949 Loss_G: 0.037853 Loss_D_real: -0.038238 Loss_D_fake 0.007711
[112/5000][155/535][11203] Loss_D: -0.044190 Loss_G: 0.001142 Loss_D_real: -0.007069 Loss_D_fake 0.037121
[112/5000][160/535][11204] Loss_D: -0.044629 Loss_G: 0.032515 Loss_D_real: -0.034814 Loss_D_fake 0.009815
[112/5000][165/535][11205] Loss_D: -0.046794 Loss_G: 0.041192 Loss_D_real: -0.041498 Loss_D_fake 0.005296
[112/5000][170/535][11206] Loss_D: -0.046457 Loss_G: 0.014714 Loss_D_real: -0.020577 Loss_D_fake 0.025879
[112/5000][175/535][11207] Loss_D: -0.044059 Loss_G: -0.001418 Loss_D_real: -0.014226 Loss_D_fake 0.029832
[112/5000][180/535][11208] Loss_D: -0.047485 Loss_G: 0.044392 Loss_D_real: -0.040288 Loss_D_fake 0.007198
[112/5000][185/535][11209] Loss_D: -0.045998 Loss_G: 0.001825 Loss_D_real: -0.014630 Loss_D_fake 0.031369
[112/5000][190/535][11210] Loss_D: -0.045245 Loss_G: 0.023442 Loss_D_real: -0.028054 Loss_D_fake 0.017191
[112/5000][195/535][11211] Loss_D: -0.048293 Loss_G: 0.027402 Loss_D_real: -0.027179 Loss_D_fake 0.021114
[112/5000][200/535][11212] Loss_D: -0.046299 Loss_G: 0.032104 Loss_D_real: -0.038718 Loss_D_fake 0.007581
[112/5000][205/535][11213] Loss_D: -0.045427 Loss_G: 0.007053 Loss_D_real: -0.021104 Loss_D_fake 0.024323
[112/5000][210/535][11214] Loss_D: -0.044207 Loss_G: 0.049266 Loss_D_real: -0.046775 Loss_D_fake -0.002568
[112/5000][215/535][11215] Loss_D: -0.044403 Loss_G: 0.012152 Loss_D_real: -0.020716 Loss_D_fake 0.023687
[112/5000][220/535][11216] Loss_D: -0.045747 Loss_G: 0.031612 Loss_D_real: -0.029067 Loss_D_fake 0.016680
[112/5000][225/535][11217] Loss_D: -0.045008 Loss_G: 0.008130 Loss_D_real: -0.019044 Loss_D_fake 0.025964
[112/5000][230/535][11218] Loss_D: -0.045078 Loss_G: 0.042504 Loss_D_real: -0.044588 Loss_D_fake 0.000489
[112/5000][235/535][11219] Loss_D: -0.046768 Loss_G: 0.036196 Loss_D_real: -0.031826 Loss_D_fake 0.014942
[112/5000][240/535][11220] Loss_D: -0.045323 Loss_G: 0.025979 Loss_D_real: -0.030487 Loss_D_fake 0.014836
[112/5000][245/535][11221] Loss_D: -0.042328 Loss_G: 0.054046 Loss_D_real: -0.053049 Loss_D_fake -0.010721
[112/5000][250/535][11222] Loss_D: -0.046925 Loss_G: 0.022943 Loss_D_real: -0.023819 Loss_D_fake 0.023106
[112/5000][255/535][11223] Loss_D: -0.045779 Loss_G: 0.035251 Loss_D_real: -0.034914 Loss_D_fake 0.010865
[112/5000][260/535][11224] Loss_D: -0.046121 Loss_G: 0.015409 Loss_D_real: -0.024809 Loss_D_fake 0.021312
[112/5000][265/535][11225] Loss_D: -0.044416 Loss_G: 0.033980 Loss_D_real: -0.047646 Loss_D_fake -0.003231
[112/5000][270/535][11226] Loss_D: -0.047520 Loss_G: 0.019617 Loss_D_real: -0.028658 Loss_D_fake 0.018862
[112/5000][275/535][11227] Loss_D: -0.048325 Loss_G: 0.036094 Loss_D_real: -0.031600 Loss_D_fake 0.016725
[112/5000][280/535][11228] Loss_D: -0.044560 Loss_G: 0.022319 Loss_D_real: -0.027978 Loss_D_fake 0.016581
[112/5000][285/535][11229] Loss_D: -0.043630 Loss_G: 0.061163 Loss_D_real: -0.053507 Loss_D_fake -0.009877
[112/5000][290/535][11230] Loss_D: -0.044972 Loss_G: 0.019750 Loss_D_real: -0.020683 Loss_D_fake 0.024289
[112/5000][295/535][11231] Loss_D: -0.046002 Loss_G: 0.016714 Loss_D_real: -0.024435 Loss_D_fake 0.021567
[112/5000][300/535][11232] Loss_D: -0.046250 Loss_G: 0.043491 Loss_D_real: -0.037220 Loss_D_fake 0.009030
[112/5000][305/535][11233] Loss_D: -0.046969 Loss_G: 0.044266 Loss_D_real: -0.037417 Loss_D_fake 0.009552
[112/5000][310/535][11234] Loss_D: -0.044692 Loss_G: -0.008711 Loss_D_real: -0.003966 Loss_D_fake 0.040726
[112/5000][315/535][11235] Loss_D: -0.044112 Loss_G: 0.049151 Loss_D_real: -0.045921 Loss_D_fake -0.001809
[112/5000][320/535][11236] Loss_D: -0.047795 Loss_G: 0.013062 Loss_D_real: -0.018069 Loss_D_fake 0.029727
[112/5000][325/535][11237] Loss_D: -0.045620 Loss_G: 0.039080 Loss_D_real: -0.040738 Loss_D_fake 0.004882
[112/5000][330/535][11238] Loss_D: -0.046424 Loss_G: 0.036088 Loss_D_real: -0.029952 Loss_D_fake 0.016472
[112/5000][335/535][11239] Loss_D: -0.044918 Loss_G: 0.006976 Loss_D_real: -0.013389 Loss_D_fake 0.031529
[112/5000][340/535][11240] Loss_D: -0.046089 Loss_G: 0.035851 Loss_D_real: -0.038750 Loss_D_fake 0.007338
[112/5000][345/535][11241] Loss_D: -0.046607 Loss_G: 0.008670 Loss_D_real: -0.014897 Loss_D_fake 0.031711
[112/5000][350/535][11242] Loss_D: -0.046862 Loss_G: 0.043121 Loss_D_real: -0.037054 Loss_D_fake 0.009808
[112/5000][355/535][11243] Loss_D: -0.047088 Loss_G: 0.016605 Loss_D_real: -0.025079 Loss_D_fake 0.022009
[112/5000][360/535][11244] Loss_D: -0.047563 Loss_G: 0.012518 Loss_D_real: -0.013847 Loss_D_fake 0.033716
[112/5000][365/535][11245] Loss_D: -0.047800 Loss_G: 0.029247 Loss_D_real: -0.032729 Loss_D_fake 0.015071
[112/5000][370/535][11246] Loss_D: -0.046204 Loss_G: 0.025622 Loss_D_real: -0.023983 Loss_D_fake 0.022221
[112/5000][375/535][11247] Loss_D: -0.048026 Loss_G: 0.034389 Loss_D_real: -0.032224 Loss_D_fake 0.015803
[112/5000][380/535][11248] Loss_D: -0.047100 Loss_G: -0.004089 Loss_D_real: -0.008496 Loss_D_fake 0.038604
[112/5000][385/535][11249] Loss_D: -0.045795 Loss_G: 0.036133 Loss_D_real: -0.034261 Loss_D_fake 0.011534
[112/5000][390/535][11250] Loss_D: -0.045887 Loss_G: 0.026680 Loss_D_real: -0.023555 Loss_D_fake 0.022332
[112/5000][395/535][11251] Loss_D: -0.047936 Loss_G: 0.003709 Loss_D_real: -0.019157 Loss_D_fake 0.028779
[112/5000][400/535][11252] Loss_D: -0.046404 Loss_G: 0.037384 Loss_D_real: -0.037902 Loss_D_fake 0.008502
[112/5000][405/535][11253] Loss_D: -0.046979 Loss_G: 0.024523 Loss_D_real: -0.027566 Loss_D_fake 0.019413
[112/5000][410/535][11254] Loss_D: -0.041585 Loss_G: 0.051739 Loss_D_real: -0.056542 Loss_D_fake -0.014957
[112/5000][415/535][11255] Loss_D: -0.044979 Loss_G: -0.008290 Loss_D_real: -0.002626 Loss_D_fake 0.042353
[112/5000][420/535][11256] Loss_D: -0.044293 Loss_G: 0.032425 Loss_D_real: -0.030521 Loss_D_fake 0.013772
[112/5000][425/535][11257] Loss_D: -0.044028 Loss_G: -0.005013 Loss_D_real: -0.007381 Loss_D_fake 0.036647
[112/5000][430/535][11258] Loss_D: -0.043306 Loss_G: 0.037818 Loss_D_real: -0.039825 Loss_D_fake 0.003481
[112/5000][435/535][11259] Loss_D: -0.043864 Loss_G: 0.001984 Loss_D_real: -0.004438 Loss_D_fake 0.039426
[112/5000][440/535][11260] Loss_D: -0.046726 Loss_G: 0.027522 Loss_D_real: -0.034675 Loss_D_fake 0.012051
[112/5000][445/535][11261] Loss_D: -0.048062 Loss_G: 0.013669 Loss_D_real: -0.026163 Loss_D_fake 0.021900
[112/5000][450/535][11262] Loss_D: -0.046810 Loss_G: 0.035431 Loss_D_real: -0.039002 Loss_D_fake 0.007808
[112/5000][455/535][11263] Loss_D: -0.043326 Loss_G: 0.014547 Loss_D_real: -0.016160 Loss_D_fake 0.027167
[112/5000][460/535][11264] Loss_D: -0.043743 Loss_G: 0.039638 Loss_D_real: -0.039848 Loss_D_fake 0.003895
[112/5000][465/535][11265] Loss_D: -0.045648 Loss_G: 0.014147 Loss_D_real: -0.012730 Loss_D_fake 0.032918
[112/5000][470/535][11266] Loss_D: -0.047605 Loss_G: 0.012721 Loss_D_real: -0.024774 Loss_D_fake 0.022831
[112/5000][475/535][11267] Loss_D: -0.047009 Loss_G: 0.044712 Loss_D_real: -0.041067 Loss_D_fake 0.005941
[112/5000][480/535][11268] Loss_D: -0.046921 Loss_G: 0.013097 Loss_D_real: -0.018949 Loss_D_fake 0.027972
[112/5000][485/535][11269] Loss_D: -0.047781 Loss_G: 0.034186 Loss_D_real: -0.033158 Loss_D_fake 0.014623
[112/5000][490/535][11270] Loss_D: -0.045819 Loss_G: 0.032446 Loss_D_real: -0.030757 Loss_D_fake 0.015061
[112/5000][495/535][11271] Loss_D: -0.048113 Loss_G: 0.036946 Loss_D_real: -0.033427 Loss_D_fake 0.014686
[112/5000][500/535][11272] Loss_D: -0.046758 Loss_G: 0.031369 Loss_D_real: -0.025845 Loss_D_fake 0.020913
[112/5000][505/535][11273] Loss_D: -0.047623 Loss_G: -0.009874 Loss_D_real: -0.013994 Loss_D_fake 0.033628
[112/5000][510/535][11274] Loss_D: -0.045159 Loss_G: 0.040705 Loss_D_real: -0.041583 Loss_D_fake 0.003577
[112/5000][515/535][11275] Loss_D: -0.045721 Loss_G: 0.011207 Loss_D_real: -0.021546 Loss_D_fake 0.024174
[112/5000][520/535][11276] Loss_D: -0.045487 Loss_G: 0.038911 Loss_D_real: -0.038977 Loss_D_fake 0.006510
[112/5000][525/535][11277] Loss_D: -0.043784 Loss_G: -0.009569 Loss_D_real: -0.008575 Loss_D_fake 0.035209
[112/5000][530/535][11278] Loss_D: -0.044342 Loss_G: 0.048847 Loss_D_real: -0.043706 Loss_D_fake 0.000636
[112/5000][535/535][11279] Loss_D: -0.041373 Loss_G: 0.031806 Loss_D_real: -0.028624 Loss_D_fake 0.012749
[113/5000][5/535][11280] Loss_D: -0.043713 Loss_G: 0.012356 Loss_D_real: -0.012111 Loss_D_fake 0.031602
[113/5000][10/535][11281] Loss_D: -0.047755 Loss_G: 0.022107 Loss_D_real: -0.030980 Loss_D_fake 0.016776
[113/5000][15/535][11282] Loss_D: -0.047645 Loss_G: 0.038038 Loss_D_real: -0.039286 Loss_D_fake 0.008359
[113/5000][20/535][11283] Loss_D: -0.047856 Loss_G: 0.003685 Loss_D_real: -0.011407 Loss_D_fake 0.036450
[113/5000][25/535][11284] Loss_D: -0.046247 Loss_G: 0.026956 Loss_D_real: -0.030071 Loss_D_fake 0.016176
[113/5000][30/535][11285] Loss_D: -0.047784 Loss_G: 0.050082 Loss_D_real: -0.047711 Loss_D_fake 0.000073
[113/5000][35/535][11286] Loss_D: -0.044580 Loss_G: 0.001999 Loss_D_real: -0.010077 Loss_D_fake 0.034503
[113/5000][40/535][11287] Loss_D: -0.041858 Loss_G: 0.036451 Loss_D_real: -0.043834 Loss_D_fake -0.001977
[113/5000][45/535][11288] Loss_D: -0.044365 Loss_G: 0.015593 Loss_D_real: -0.022311 Loss_D_fake 0.022054
[113/5000][50/535][11289] Loss_D: -0.047301 Loss_G: 0.012820 Loss_D_real: -0.021767 Loss_D_fake 0.025535
[113/5000][55/535][11290] Loss_D: -0.046214 Loss_G: 0.027914 Loss_D_real: -0.033736 Loss_D_fake 0.012478
[113/5000][60/535][11291] Loss_D: -0.045259 Loss_G: -0.004828 Loss_D_real: -0.008956 Loss_D_fake 0.036303
[113/5000][65/535][11292] Loss_D: -0.043359 Loss_G: 0.028268 Loss_D_real: -0.032522 Loss_D_fake 0.010837
[113/5000][70/535][11293] Loss_D: -0.044386 Loss_G: 0.027278 Loss_D_real: -0.032228 Loss_D_fake 0.012157
[113/5000][75/535][11294] Loss_D: -0.045671 Loss_G: 0.038943 Loss_D_real: -0.035321 Loss_D_fake 0.010349
[113/5000][80/535][11295] Loss_D: -0.046359 Loss_G: 0.023617 Loss_D_real: -0.029712 Loss_D_fake 0.016647
[113/5000][85/535][11296] Loss_D: -0.046382 Loss_G: 0.052990 Loss_D_real: -0.044542 Loss_D_fake 0.001840
[113/5000][90/535][11297] Loss_D: -0.044653 Loss_G: -0.008439 Loss_D_real: -0.010625 Loss_D_fake 0.034028
[113/5000][95/535][11298] Loss_D: -0.041531 Loss_G: 0.046043 Loss_D_real: -0.047594 Loss_D_fake -0.006063
[113/5000][100/535][11299] Loss_D: -0.043247 Loss_G: 0.010343 Loss_D_real: -0.013355 Loss_D_fake 0.029892
[113/5000][105/535][11300] Loss_D: -0.044170 Loss_G: 0.020392 Loss_D_real: -0.029001 Loss_D_fake 0.015168
[113/5000][110/535][11301] Loss_D: -0.045367 Loss_G: 0.027781 Loss_D_real: -0.037097 Loss_D_fake 0.008270
[113/5000][115/535][11302] Loss_D: -0.045782 Loss_G: 0.019655 Loss_D_real: -0.020921 Loss_D_fake 0.024861
[113/5000][120/535][11303] Loss_D: -0.046535 Loss_G: 0.029790 Loss_D_real: -0.031345 Loss_D_fake 0.015190
[113/5000][125/535][11304] Loss_D: -0.047664 Loss_G: 0.018022 Loss_D_real: -0.020080 Loss_D_fake 0.027584
[113/5000][130/535][11305] Loss_D: -0.039779 Loss_G: 0.054610 Loss_D_real: -0.053812 Loss_D_fake -0.014033
[113/5000][135/535][11306] Loss_D: -0.044986 Loss_G: 0.014885 Loss_D_real: -0.025388 Loss_D_fake 0.019598
[113/5000][140/535][11307] Loss_D: -0.044578 Loss_G: 0.047344 Loss_D_real: -0.043456 Loss_D_fake 0.001123
[113/5000][145/535][11308] Loss_D: -0.046052 Loss_G: 0.030707 Loss_D_real: -0.029138 Loss_D_fake 0.016914
[113/5000][150/535][11309] Loss_D: -0.049804 Loss_G: 0.025858 Loss_D_real: -0.029392 Loss_D_fake 0.020412
[113/5000][155/535][11310] Loss_D: -0.048611 Loss_G: 0.020011 Loss_D_real: -0.019421 Loss_D_fake 0.029190
[113/5000][160/535][11311] Loss_D: -0.044601 Loss_G: 0.051164 Loss_D_real: -0.053119 Loss_D_fake -0.008518
[113/5000][165/535][11312] Loss_D: -0.045076 Loss_G: 0.005041 Loss_D_real: -0.011670 Loss_D_fake 0.033406
[113/5000][170/535][11313] Loss_D: -0.040405 Loss_G: 0.040963 Loss_D_real: -0.042027 Loss_D_fake -0.001622
[113/5000][175/535][11314] Loss_D: -0.045054 Loss_G: 0.003432 Loss_D_real: -0.015384 Loss_D_fake 0.029671
[113/5000][180/535][11315] Loss_D: -0.046889 Loss_G: 0.034523 Loss_D_real: -0.028075 Loss_D_fake 0.018814
[113/5000][185/535][11316] Loss_D: -0.047629 Loss_G: 0.021108 Loss_D_real: -0.024280 Loss_D_fake 0.023349
[113/5000][190/535][11317] Loss_D: -0.047053 Loss_G: 0.012302 Loss_D_real: -0.017086 Loss_D_fake 0.029967
[113/5000][195/535][11318] Loss_D: -0.044939 Loss_G: 0.041062 Loss_D_real: -0.044141 Loss_D_fake 0.000798
[113/5000][200/535][11319] Loss_D: -0.045621 Loss_G: 0.001140 Loss_D_real: -0.008354 Loss_D_fake 0.037267
[113/5000][205/535][11320] Loss_D: -0.045563 Loss_G: 0.029510 Loss_D_real: -0.032790 Loss_D_fake 0.012773
[113/5000][210/535][11321] Loss_D: -0.046280 Loss_G: 0.003390 Loss_D_real: -0.011855 Loss_D_fake 0.034426
[113/5000][215/535][11322] Loss_D: -0.043581 Loss_G: 0.030393 Loss_D_real: -0.041202 Loss_D_fake 0.002378
[113/5000][220/535][11323] Loss_D: -0.047231 Loss_G: 0.026809 Loss_D_real: -0.030734 Loss_D_fake 0.016497
[113/5000][225/535][11324] Loss_D: -0.046713 Loss_G: 0.031035 Loss_D_real: -0.032324 Loss_D_fake 0.014390
[113/5000][230/535][11325] Loss_D: -0.047338 Loss_G: 0.012679 Loss_D_real: -0.022673 Loss_D_fake 0.024664
[113/5000][235/535][11326] Loss_D: -0.046419 Loss_G: 0.031163 Loss_D_real: -0.030505 Loss_D_fake 0.015914
[113/5000][240/535][11327] Loss_D: -0.047150 Loss_G: 0.030075 Loss_D_real: -0.030123 Loss_D_fake 0.017028
[113/5000][245/535][11328] Loss_D: -0.044288 Loss_G: 0.034184 Loss_D_real: -0.034205 Loss_D_fake 0.010083
[113/5000][250/535][11329] Loss_D: -0.044137 Loss_G: -0.015709 Loss_D_real: -0.000156 Loss_D_fake 0.043981
[113/5000][255/535][11330] Loss_D: -0.040782 Loss_G: 0.044461 Loss_D_real: -0.046279 Loss_D_fake -0.005497
[113/5000][260/535][11331] Loss_D: -0.043937 Loss_G: -0.001643 Loss_D_real: -0.011891 Loss_D_fake 0.032047
[113/5000][265/535][11332] Loss_D: -0.043403 Loss_G: 0.039848 Loss_D_real: -0.035122 Loss_D_fake 0.008281
[113/5000][270/535][11333] Loss_D: -0.046003 Loss_G: 0.024555 Loss_D_real: -0.021729 Loss_D_fake 0.024274
[113/5000][275/535][11334] Loss_D: -0.046062 Loss_G: 0.009435 Loss_D_real: -0.017643 Loss_D_fake 0.028419
[113/5000][280/535][11335] Loss_D: -0.046547 Loss_G: 0.016240 Loss_D_real: -0.022300 Loss_D_fake 0.024247
[113/5000][285/535][11336] Loss_D: -0.043293 Loss_G: 0.041105 Loss_D_real: -0.047797 Loss_D_fake -0.004504
[113/5000][290/535][11337] Loss_D: -0.047391 Loss_G: 0.018694 Loss_D_real: -0.019337 Loss_D_fake 0.028053
[113/5000][295/535][11338] Loss_D: -0.048028 Loss_G: 0.024702 Loss_D_real: -0.031583 Loss_D_fake 0.016445
[113/5000][300/535][11339] Loss_D: -0.046866 Loss_G: 0.032928 Loss_D_real: -0.033233 Loss_D_fake 0.013633
[113/5000][305/535][11340] Loss_D: -0.047225 Loss_G: 0.036191 Loss_D_real: -0.033545 Loss_D_fake 0.013680
[113/5000][310/535][11341] Loss_D: -0.046567 Loss_G: 0.002194 Loss_D_real: -0.014348 Loss_D_fake 0.032219
[113/5000][315/535][11342] Loss_D: -0.043510 Loss_G: 0.043449 Loss_D_real: -0.038754 Loss_D_fake 0.004756
[113/5000][320/535][11343] Loss_D: -0.045137 Loss_G: -0.002797 Loss_D_real: -0.010135 Loss_D_fake 0.035001
[113/5000][325/535][11344] Loss_D: -0.043015 Loss_G: 0.045167 Loss_D_real: -0.052847 Loss_D_fake -0.009832
[113/5000][330/535][11345] Loss_D: -0.046790 Loss_G: 0.023141 Loss_D_real: -0.025070 Loss_D_fake 0.021721
[113/5000][335/535][11346] Loss_D: -0.046926 Loss_G: 0.039469 Loss_D_real: -0.038167 Loss_D_fake 0.008759
[113/5000][340/535][11347] Loss_D: -0.048143 Loss_G: 0.010700 Loss_D_real: -0.015104 Loss_D_fake 0.033038
[113/5000][345/535][11348] Loss_D: -0.046144 Loss_G: 0.028770 Loss_D_real: -0.030174 Loss_D_fake 0.015970
[113/5000][350/535][11349] Loss_D: -0.043827 Loss_G: -0.008899 Loss_D_real: -0.003104 Loss_D_fake 0.040723
[113/5000][355/535][11350] Loss_D: -0.046738 Loss_G: 0.034662 Loss_D_real: -0.032612 Loss_D_fake 0.014126
[113/5000][360/535][11351] Loss_D: -0.045367 Loss_G: 0.000291 Loss_D_real: -0.012879 Loss_D_fake 0.032488
[113/5000][365/535][11352] Loss_D: -0.045709 Loss_G: 0.038844 Loss_D_real: -0.035084 Loss_D_fake 0.010625
[113/5000][370/535][11353] Loss_D: -0.046380 Loss_G: 0.008469 Loss_D_real: -0.014522 Loss_D_fake 0.031858
[113/5000][375/535][11354] Loss_D: -0.045193 Loss_G: 0.027450 Loss_D_real: -0.031745 Loss_D_fake 0.013448
[113/5000][380/535][11355] Loss_D: -0.045395 Loss_G: 0.011665 Loss_D_real: -0.022063 Loss_D_fake 0.023333
[113/5000][385/535][11356] Loss_D: -0.048083 Loss_G: 0.024972 Loss_D_real: -0.031827 Loss_D_fake 0.016256
[113/5000][390/535][11357] Loss_D: -0.048120 Loss_G: 0.024068 Loss_D_real: -0.033982 Loss_D_fake 0.014138
[113/5000][395/535][11358] Loss_D: -0.045558 Loss_G: 0.021349 Loss_D_real: -0.019397 Loss_D_fake 0.026162
[113/5000][400/535][11359] Loss_D: -0.042411 Loss_G: -0.013470 Loss_D_real: -0.005155 Loss_D_fake 0.037257
[113/5000][405/535][11360] Loss_D: -0.045459 Loss_G: 0.016002 Loss_D_real: -0.025019 Loss_D_fake 0.020440
[113/5000][410/535][11361] Loss_D: -0.044417 Loss_G: 0.001957 Loss_D_real: -0.007636 Loss_D_fake 0.036781
[113/5000][415/535][11362] Loss_D: -0.043538 Loss_G: 0.029263 Loss_D_real: -0.031478 Loss_D_fake 0.012059
[113/5000][420/535][11363] Loss_D: -0.044485 Loss_G: 0.005032 Loss_D_real: -0.016061 Loss_D_fake 0.028425
[113/5000][425/535][11364] Loss_D: -0.044539 Loss_G: 0.030563 Loss_D_real: -0.036210 Loss_D_fake 0.008329
[113/5000][430/535][11365] Loss_D: -0.044382 Loss_G: 0.036079 Loss_D_real: -0.035833 Loss_D_fake 0.008548
[113/5000][435/535][11366] Loss_D: -0.044300 Loss_G: 0.015710 Loss_D_real: -0.023028 Loss_D_fake 0.021271
[113/5000][440/535][11367] Loss_D: -0.043735 Loss_G: 0.005538 Loss_D_real: -0.016504 Loss_D_fake 0.027231
[113/5000][445/535][11368] Loss_D: -0.042676 Loss_G: 0.041122 Loss_D_real: -0.031857 Loss_D_fake 0.010819
[113/5000][450/535][11369] Loss_D: -0.043045 Loss_G: 0.001016 Loss_D_real: -0.014764 Loss_D_fake 0.028281
[113/5000][455/535][11370] Loss_D: -0.042174 Loss_G: 0.048902 Loss_D_real: -0.050400 Loss_D_fake -0.008225
[113/5000][460/535][11371] Loss_D: -0.043735 Loss_G: -0.003524 Loss_D_real: -0.011944 Loss_D_fake 0.031791
[113/5000][465/535][11372] Loss_D: -0.043147 Loss_G: 0.029074 Loss_D_real: -0.037705 Loss_D_fake 0.005442
[113/5000][470/535][11373] Loss_D: -0.046108 Loss_G: 0.052695 Loss_D_real: -0.047052 Loss_D_fake -0.000943
[113/5000][475/535][11374] Loss_D: -0.047374 Loss_G: 0.008247 Loss_D_real: -0.014703 Loss_D_fake 0.032671
[113/5000][480/535][11375] Loss_D: -0.046051 Loss_G: 0.041713 Loss_D_real: -0.042851 Loss_D_fake 0.003200
[113/5000][485/535][11376] Loss_D: -0.047790 Loss_G: 0.008968 Loss_D_real: -0.019681 Loss_D_fake 0.028110
[113/5000][490/535][11377] Loss_D: -0.044381 Loss_G: 0.054743 Loss_D_real: -0.053327 Loss_D_fake -0.008947
[113/5000][495/535][11378] Loss_D: -0.044566 Loss_G: -0.001163 Loss_D_real: -0.007268 Loss_D_fake 0.037298
[113/5000][500/535][11379] Loss_D: -0.045885 Loss_G: 0.046318 Loss_D_real: -0.041282 Loss_D_fake 0.004603
[113/5000][505/535][11380] Loss_D: -0.047904 Loss_G: 0.030265 Loss_D_real: -0.030408 Loss_D_fake 0.017496
[113/5000][510/535][11381] Loss_D: -0.048765 Loss_G: 0.042498 Loss_D_real: -0.035462 Loss_D_fake 0.013303
[113/5000][515/535][11382] Loss_D: -0.044833 Loss_G: -0.003735 Loss_D_real: -0.008533 Loss_D_fake 0.036300
[113/5000][520/535][11383] Loss_D: -0.044470 Loss_G: 0.048635 Loss_D_real: -0.046115 Loss_D_fake -0.001645
[113/5000][525/535][11384] Loss_D: -0.045070 Loss_G: -0.002509 Loss_D_real: -0.001077 Loss_D_fake 0.043993
[113/5000][530/535][11385] Loss_D: -0.046076 Loss_G: 0.020579 Loss_D_real: -0.026595 Loss_D_fake 0.019481
[113/5000][535/535][11386] Loss_D: -0.042735 Loss_G: 0.040954 Loss_D_real: -0.048001 Loss_D_fake -0.005266
[114/5000][5/535][11387] Loss_D: -0.046325 Loss_G: -0.007200 Loss_D_real: -0.011935 Loss_D_fake 0.034389
[114/5000][10/535][11388] Loss_D: -0.044826 Loss_G: 0.042599 Loss_D_real: -0.044269 Loss_D_fake 0.000557
[114/5000][15/535][11389] Loss_D: -0.047074 Loss_G: 0.032342 Loss_D_real: -0.032031 Loss_D_fake 0.015043
[114/5000][20/535][11390] Loss_D: -0.047682 Loss_G: 0.046951 Loss_D_real: -0.043798 Loss_D_fake 0.003884
[114/5000][25/535][11391] Loss_D: -0.046349 Loss_G: -0.001695 Loss_D_real: -0.013453 Loss_D_fake 0.032896
[114/5000][30/535][11392] Loss_D: -0.044962 Loss_G: 0.032429 Loss_D_real: -0.033549 Loss_D_fake 0.011413
[114/5000][35/535][11393] Loss_D: -0.047344 Loss_G: 0.022993 Loss_D_real: -0.028174 Loss_D_fake 0.019170
[114/5000][40/535][11394] Loss_D: -0.044957 Loss_G: 0.042981 Loss_D_real: -0.045452 Loss_D_fake -0.000494
[114/5000][45/535][11395] Loss_D: -0.047715 Loss_G: 0.033373 Loss_D_real: -0.030015 Loss_D_fake 0.017700
[114/5000][50/535][11396] Loss_D: -0.047657 Loss_G: 0.016599 Loss_D_real: -0.023678 Loss_D_fake 0.023979
[114/5000][55/535][11397] Loss_D: -0.043453 Loss_G: 0.045620 Loss_D_real: -0.040407 Loss_D_fake 0.003046
[114/5000][60/535][11398] Loss_D: -0.045908 Loss_G: -0.001716 Loss_D_real: -0.014336 Loss_D_fake 0.031572
[114/5000][65/535][11399] Loss_D: -0.042274 Loss_G: 0.044556 Loss_D_real: -0.046871 Loss_D_fake -0.004597
[114/5000][70/535][11400] Loss_D: -0.046076 Loss_G: 0.020268 Loss_D_real: -0.017729 Loss_D_fake 0.028347
[114/5000][75/535][11401] Loss_D: -0.047118 Loss_G: 0.036761 Loss_D_real: -0.035559 Loss_D_fake 0.011558
[114/5000][80/535][11402] Loss_D: -0.046877 Loss_G: 0.027272 Loss_D_real: -0.026441 Loss_D_fake 0.020436
[114/5000][85/535][11403] Loss_D: -0.046184 Loss_G: 0.053504 Loss_D_real: -0.044368 Loss_D_fake 0.001816
[114/5000][90/535][11404] Loss_D: -0.044404 Loss_G: -0.004700 Loss_D_real: -0.005096 Loss_D_fake 0.039309
[114/5000][95/535][11405] Loss_D: -0.043295 Loss_G: 0.030607 Loss_D_real: -0.041423 Loss_D_fake 0.001872
[114/5000][100/535][11406] Loss_D: -0.045954 Loss_G: 0.013949 Loss_D_real: -0.025038 Loss_D_fake 0.020916
[114/5000][105/535][11407] Loss_D: -0.046116 Loss_G: 0.036328 Loss_D_real: -0.036738 Loss_D_fake 0.009378
[114/5000][110/535][11408] Loss_D: -0.043911 Loss_G: 0.001352 Loss_D_real: -0.010663 Loss_D_fake 0.033248
[114/5000][115/535][11409] Loss_D: -0.045616 Loss_G: 0.042690 Loss_D_real: -0.043018 Loss_D_fake 0.002598
[114/5000][120/535][11410] Loss_D: -0.046871 Loss_G: 0.017345 Loss_D_real: -0.018848 Loss_D_fake 0.028023
[114/5000][125/535][11411] Loss_D: -0.047474 Loss_G: 0.013469 Loss_D_real: -0.021863 Loss_D_fake 0.025610
[114/5000][130/535][11412] Loss_D: -0.044104 Loss_G: 0.053634 Loss_D_real: -0.054943 Loss_D_fake -0.010839
[114/5000][135/535][11413] Loss_D: -0.043948 Loss_G: 0.000848 Loss_D_real: -0.008366 Loss_D_fake 0.035582
[114/5000][140/535][11414] Loss_D: -0.044031 Loss_G: 0.025833 Loss_D_real: -0.033035 Loss_D_fake 0.010996
[114/5000][145/535][11415] Loss_D: -0.046294 Loss_G: 0.033190 Loss_D_real: -0.030276 Loss_D_fake 0.016018
[114/5000][150/535][11416] Loss_D: -0.044991 Loss_G: 0.044008 Loss_D_real: -0.043401 Loss_D_fake 0.001590
[114/5000][155/535][11417] Loss_D: -0.043767 Loss_G: 0.052404 Loss_D_real: -0.041454 Loss_D_fake 0.002313
[114/5000][160/535][11418] Loss_D: -0.046690 Loss_G: 0.007798 Loss_D_real: -0.018853 Loss_D_fake 0.027837
[114/5000][165/535][11419] Loss_D: -0.045920 Loss_G: 0.030521 Loss_D_real: -0.031064 Loss_D_fake 0.014856
[114/5000][170/535][11420] Loss_D: -0.044928 Loss_G: 0.049009 Loss_D_real: -0.047489 Loss_D_fake -0.002562
[114/5000][175/535][11421] Loss_D: -0.047530 Loss_G: 0.015575 Loss_D_real: -0.023131 Loss_D_fake 0.024399
[114/5000][180/535][11422] Loss_D: -0.045859 Loss_G: 0.036355 Loss_D_real: -0.039998 Loss_D_fake 0.005861
[114/5000][185/535][11423] Loss_D: -0.046022 Loss_G: 0.014169 Loss_D_real: -0.016972 Loss_D_fake 0.029050
[114/5000][190/535][11424] Loss_D: -0.044601 Loss_G: 0.022724 Loss_D_real: -0.028927 Loss_D_fake 0.015674
[114/5000][195/535][11425] Loss_D: -0.043635 Loss_G: 0.053823 Loss_D_real: -0.045037 Loss_D_fake -0.001402
[114/5000][200/535][11426] Loss_D: -0.042388 Loss_G: -0.004640 Loss_D_real: -0.005084 Loss_D_fake 0.037303
[114/5000][205/535][11427] Loss_D: -0.042154 Loss_G: 0.044102 Loss_D_real: -0.039311 Loss_D_fake 0.002842
[114/5000][210/535][11428] Loss_D: -0.044157 Loss_G: 0.007248 Loss_D_real: -0.022341 Loss_D_fake 0.021815
[114/5000][215/535][11429] Loss_D: -0.042752 Loss_G: 0.052424 Loss_D_real: -0.054013 Loss_D_fake -0.011261
[114/5000][220/535][11430] Loss_D: -0.046302 Loss_G: 0.006553 Loss_D_real: -0.019266 Loss_D_fake 0.027036
[114/5000][225/535][11431] Loss_D: -0.045664 Loss_G: 0.031739 Loss_D_real: -0.033115 Loss_D_fake 0.012549
[114/5000][230/535][11432] Loss_D: -0.045746 Loss_G: 0.010643 Loss_D_real: -0.017568 Loss_D_fake 0.028178
[114/5000][235/535][11433] Loss_D: -0.045523 Loss_G: 0.043660 Loss_D_real: -0.041447 Loss_D_fake 0.004076
[114/5000][240/535][11434] Loss_D: -0.045121 Loss_G: 0.002889 Loss_D_real: -0.011814 Loss_D_fake 0.033307
[114/5000][245/535][11435] Loss_D: -0.044475 Loss_G: 0.035984 Loss_D_real: -0.037629 Loss_D_fake 0.006845
[114/5000][250/535][11436] Loss_D: -0.046807 Loss_G: 0.040755 Loss_D_real: -0.036320 Loss_D_fake 0.010486
[114/5000][255/535][11437] Loss_D: -0.046561 Loss_G: 0.015567 Loss_D_real: -0.021149 Loss_D_fake 0.025412
[114/5000][260/535][11438] Loss_D: -0.045389 Loss_G: 0.028185 Loss_D_real: -0.029252 Loss_D_fake 0.016138
[114/5000][265/535][11439] Loss_D: -0.046515 Loss_G: 0.008643 Loss_D_real: -0.024087 Loss_D_fake 0.022428
[114/5000][270/535][11440] Loss_D: -0.041841 Loss_G: 0.040192 Loss_D_real: -0.040521 Loss_D_fake 0.001319
[114/5000][275/535][11441] Loss_D: -0.045890 Loss_G: 0.020489 Loss_D_real: -0.025004 Loss_D_fake 0.020886
[114/5000][280/535][11442] Loss_D: -0.044417 Loss_G: 0.022807 Loss_D_real: -0.029792 Loss_D_fake 0.014625
[114/5000][285/535][11443] Loss_D: -0.045189 Loss_G: 0.057204 Loss_D_real: -0.043757 Loss_D_fake 0.001433
[114/5000][290/535][11444] Loss_D: -0.044849 Loss_G: -0.011087 Loss_D_real: -0.008612 Loss_D_fake 0.036237
[114/5000][295/535][11445] Loss_D: -0.041620 Loss_G: 0.039793 Loss_D_real: -0.042260 Loss_D_fake -0.000639
[114/5000][300/535][11446] Loss_D: -0.044329 Loss_G: 0.005551 Loss_D_real: -0.016182 Loss_D_fake 0.028147
[114/5000][305/535][11447] Loss_D: -0.043199 Loss_G: 0.044340 Loss_D_real: -0.044906 Loss_D_fake -0.001707
[114/5000][310/535][11448] Loss_D: -0.043325 Loss_G: 0.021655 Loss_D_real: -0.025773 Loss_D_fake 0.017552
[114/5000][315/535][11449] Loss_D: -0.046801 Loss_G: 0.016231 Loss_D_real: -0.021431 Loss_D_fake 0.025370
[114/5000][320/535][11450] Loss_D: -0.047056 Loss_G: 0.022843 Loss_D_real: -0.032118 Loss_D_fake 0.014938
[114/5000][325/535][11451] Loss_D: -0.047132 Loss_G: 0.033489 Loss_D_real: -0.027106 Loss_D_fake 0.020026
[114/5000][330/535][11452] Loss_D: -0.045919 Loss_G: 0.021633 Loss_D_real: -0.021853 Loss_D_fake 0.024065
[114/5000][335/535][11453] Loss_D: -0.046900 Loss_G: 0.028131 Loss_D_real: -0.031212 Loss_D_fake 0.015687
[114/5000][340/535][11454] Loss_D: -0.043854 Loss_G: 0.014670 Loss_D_real: -0.014798 Loss_D_fake 0.029055
[114/5000][345/535][11455] Loss_D: -0.044871 Loss_G: 0.041011 Loss_D_real: -0.039722 Loss_D_fake 0.005149
[114/5000][350/535][11456] Loss_D: -0.043105 Loss_G: 0.002759 Loss_D_real: -0.010955 Loss_D_fake 0.032150
[114/5000][355/535][11457] Loss_D: -0.046166 Loss_G: 0.026211 Loss_D_real: -0.032640 Loss_D_fake 0.013526
[114/5000][360/535][11458] Loss_D: -0.043654 Loss_G: 0.006721 Loss_D_real: -0.009904 Loss_D_fake 0.033750
[114/5000][365/535][11459] Loss_D: -0.045235 Loss_G: 0.037664 Loss_D_real: -0.039165 Loss_D_fake 0.006070
[114/5000][370/535][11460] Loss_D: -0.043871 Loss_G: 0.007963 Loss_D_real: -0.017695 Loss_D_fake 0.026176
[114/5000][375/535][11461] Loss_D: -0.044602 Loss_G: 0.038661 Loss_D_real: -0.039267 Loss_D_fake 0.005336
[114/5000][380/535][11462] Loss_D: -0.044763 Loss_G: 0.006004 Loss_D_real: -0.019970 Loss_D_fake 0.024793
[114/5000][385/535][11463] Loss_D: -0.047560 Loss_G: 0.041174 Loss_D_real: -0.041281 Loss_D_fake 0.006280
[114/5000][390/535][11464] Loss_D: -0.047772 Loss_G: 0.016780 Loss_D_real: -0.024249 Loss_D_fake 0.023522
[114/5000][395/535][11465] Loss_D: -0.045491 Loss_G: 0.051533 Loss_D_real: -0.048114 Loss_D_fake -0.002624
[114/5000][400/535][11466] Loss_D: -0.046471 Loss_G: -0.001778 Loss_D_real: -0.013496 Loss_D_fake 0.032974
[114/5000][405/535][11467] Loss_D: -0.043627 Loss_G: 0.039110 Loss_D_real: -0.043962 Loss_D_fake -0.000336
[114/5000][410/535][11468] Loss_D: -0.046053 Loss_G: 0.021747 Loss_D_real: -0.022222 Loss_D_fake 0.023831
[114/5000][415/535][11469] Loss_D: -0.044177 Loss_G: 0.028166 Loss_D_real: -0.028154 Loss_D_fake 0.016023
[114/5000][420/535][11470] Loss_D: -0.044579 Loss_G: 0.032156 Loss_D_real: -0.032680 Loss_D_fake 0.011899
[114/5000][425/535][11471] Loss_D: -0.045553 Loss_G: 0.035524 Loss_D_real: -0.032990 Loss_D_fake 0.012564
[114/5000][430/535][11472] Loss_D: -0.047376 Loss_G: 0.038132 Loss_D_real: -0.035340 Loss_D_fake 0.012035
[114/5000][435/535][11473] Loss_D: -0.044266 Loss_G: -0.007977 Loss_D_real: 0.002246 Loss_D_fake 0.046512
[114/5000][440/535][11474] Loss_D: -0.043021 Loss_G: 0.032938 Loss_D_real: -0.039616 Loss_D_fake 0.003405
[114/5000][445/535][11475] Loss_D: -0.044089 Loss_G: 0.011144 Loss_D_real: -0.017863 Loss_D_fake 0.026226
[114/5000][450/535][11476] Loss_D: -0.044796 Loss_G: 0.047987 Loss_D_real: -0.044119 Loss_D_fake 0.000677
[114/5000][455/535][11477] Loss_D: -0.046757 Loss_G: 0.037831 Loss_D_real: -0.030971 Loss_D_fake 0.015786
[114/5000][460/535][11478] Loss_D: -0.049084 Loss_G: 0.003992 Loss_D_real: -0.015479 Loss_D_fake 0.033605
[114/5000][465/535][11479] Loss_D: -0.043822 Loss_G: 0.042103 Loss_D_real: -0.044348 Loss_D_fake -0.000526
[114/5000][470/535][11480] Loss_D: -0.045723 Loss_G: 0.041891 Loss_D_real: -0.040095 Loss_D_fake 0.005629
[114/5000][475/535][11481] Loss_D: -0.048991 Loss_G: 0.031748 Loss_D_real: -0.028882 Loss_D_fake 0.020109
[114/5000][480/535][11482] Loss_D: -0.044093 Loss_G: 0.050449 Loss_D_real: -0.044887 Loss_D_fake -0.000794
[114/5000][485/535][11483] Loss_D: -0.044500 Loss_G: -0.004207 Loss_D_real: -0.007861 Loss_D_fake 0.036639
[114/5000][490/535][11484] Loss_D: -0.045654 Loss_G: 0.029921 Loss_D_real: -0.033634 Loss_D_fake 0.012020
[114/5000][495/535][11485] Loss_D: -0.046420 Loss_G: 0.022708 Loss_D_real: -0.023404 Loss_D_fake 0.023017
[114/5000][500/535][11486] Loss_D: -0.046240 Loss_G: 0.040371 Loss_D_real: -0.037674 Loss_D_fake 0.008566
[114/5000][505/535][11487] Loss_D: -0.048243 Loss_G: 0.030147 Loss_D_real: -0.029270 Loss_D_fake 0.018972
[114/5000][510/535][11488] Loss_D: -0.047687 Loss_G: 0.056126 Loss_D_real: -0.053174 Loss_D_fake -0.005487
[114/5000][515/535][11489] Loss_D: -0.046430 Loss_G: 0.016742 Loss_D_real: -0.020283 Loss_D_fake 0.026147
[114/5000][520/535][11490] Loss_D: -0.046520 Loss_G: 0.009256 Loss_D_real: -0.024114 Loss_D_fake 0.022405
[114/5000][525/535][11491] Loss_D: -0.043379 Loss_G: 0.047680 Loss_D_real: -0.052418 Loss_D_fake -0.009039
[114/5000][530/535][11492] Loss_D: -0.047357 Loss_G: 0.042521 Loss_D_real: -0.039058 Loss_D_fake 0.008299
[114/5000][535/535][11493] Loss_D: -0.042549 Loss_G: 0.031212 Loss_D_real: -0.026553 Loss_D_fake 0.015997
[115/5000][5/535][11494] Loss_D: -0.047296 Loss_G: 0.014281 Loss_D_real: -0.023983 Loss_D_fake 0.023313
[115/5000][10/535][11495] Loss_D: -0.044193 Loss_G: 0.042298 Loss_D_real: -0.047429 Loss_D_fake -0.003236
[115/5000][15/535][11496] Loss_D: -0.047499 Loss_G: 0.009915 Loss_D_real: -0.025434 Loss_D_fake 0.022065
[115/5000][20/535][11497] Loss_D: -0.046358 Loss_G: 0.022595 Loss_D_real: -0.027353 Loss_D_fake 0.019005
[115/5000][25/535][11498] Loss_D: -0.045242 Loss_G: 0.050521 Loss_D_real: -0.044095 Loss_D_fake 0.001147
[115/5000][30/535][11499] Loss_D: -0.044266 Loss_G: 0.004283 Loss_D_real: -0.012858 Loss_D_fake 0.031408
[115/5000][35/535][11500] Loss_D: -0.041985 Loss_G: 0.048496 Loss_D_real: -0.052274 Loss_D_fake -0.010289
[115/5000][135/535][11501] Loss_D: -0.045535 Loss_G: -0.008454 Loss_D_real: -0.004131 Loss_D_fake 0.041404
[115/5000][140/535][11502] Loss_D: -0.044751 Loss_G: 0.034976 Loss_D_real: -0.032880 Loss_D_fake 0.011872
[115/5000][145/535][11503] Loss_D: -0.043648 Loss_G: 0.034985 Loss_D_real: -0.027232 Loss_D_fake 0.016416
[115/5000][150/535][11504] Loss_D: -0.045805 Loss_G: 0.029139 Loss_D_real: -0.035027 Loss_D_fake 0.010778
[115/5000][155/535][11505] Loss_D: -0.044342 Loss_G: 0.016786 Loss_D_real: -0.022778 Loss_D_fake 0.021564
[115/5000][160/535][11506] Loss_D: -0.044844 Loss_G: 0.034291 Loss_D_real: -0.038331 Loss_D_fake 0.006513
[115/5000][165/535][11507] Loss_D: -0.045424 Loss_G: 0.020022 Loss_D_real: -0.027947 Loss_D_fake 0.017476
[115/5000][170/535][11508] Loss_D: -0.045461 Loss_G: 0.004241 Loss_D_real: -0.018200 Loss_D_fake 0.027262
[115/5000][175/535][11509] Loss_D: -0.043193 Loss_G: 0.035589 Loss_D_real: -0.038271 Loss_D_fake 0.004922
[115/5000][180/535][11510] Loss_D: -0.044208 Loss_G: 0.042255 Loss_D_real: -0.039900 Loss_D_fake 0.004307
[115/5000][185/535][11511] Loss_D: -0.043174 Loss_G: 0.029650 Loss_D_real: -0.027842 Loss_D_fake 0.015332
[115/5000][190/535][11512] Loss_D: -0.045950 Loss_G: 0.037734 Loss_D_real: -0.039196 Loss_D_fake 0.006754
[115/5000][195/535][11513] Loss_D: -0.044098 Loss_G: 0.000660 Loss_D_real: -0.011118 Loss_D_fake 0.032980
[115/5000][200/535][11514] Loss_D: -0.042206 Loss_G: 0.046358 Loss_D_real: -0.045474 Loss_D_fake -0.003269
[115/5000][205/535][11515] Loss_D: -0.045328 Loss_G: 0.003770 Loss_D_real: -0.015588 Loss_D_fake 0.029740
[115/5000][210/535][11516] Loss_D: -0.043257 Loss_G: 0.042097 Loss_D_real: -0.039993 Loss_D_fake 0.003264
[115/5000][215/535][11517] Loss_D: -0.045848 Loss_G: 0.021865 Loss_D_real: -0.030824 Loss_D_fake 0.015024
[115/5000][220/535][11518] Loss_D: -0.045907 Loss_G: 0.036769 Loss_D_real: -0.037919 Loss_D_fake 0.007988
[115/5000][225/535][11519] Loss_D: -0.047457 Loss_G: -0.000606 Loss_D_real: -0.016004 Loss_D_fake 0.031453
[115/5000][230/535][11520] Loss_D: -0.045212 Loss_G: 0.041474 Loss_D_real: -0.046134 Loss_D_fake -0.000922
[115/5000][235/535][11521] Loss_D: -0.044639 Loss_G: 0.006853 Loss_D_real: -0.013385 Loss_D_fake 0.031253
[115/5000][240/535][11522] Loss_D: -0.045821 Loss_G: 0.022834 Loss_D_real: -0.025177 Loss_D_fake 0.020643
[115/5000][245/535][11523] Loss_D: -0.041248 Loss_G: 0.002463 Loss_D_real: -0.000236 Loss_D_fake 0.041012
[115/5000][250/535][11524] Loss_D: -0.043909 Loss_G: 0.040457 Loss_D_real: -0.040817 Loss_D_fake 0.003092
[115/5000][255/535][11525] Loss_D: -0.045239 Loss_G: 0.019844 Loss_D_real: -0.021499 Loss_D_fake 0.023740
[115/5000][260/535][11526] Loss_D: -0.046578 Loss_G: 0.035473 Loss_D_real: -0.038426 Loss_D_fake 0.008152
[115/5000][265/535][11527] Loss_D: -0.045177 Loss_G: 0.013767 Loss_D_real: -0.018715 Loss_D_fake 0.026462
[115/5000][270/535][11528] Loss_D: -0.044304 Loss_G: 0.042895 Loss_D_real: -0.046777 Loss_D_fake -0.002472
[115/5000][275/535][11529] Loss_D: -0.046162 Loss_G: 0.010185 Loss_D_real: -0.017349 Loss_D_fake 0.028813
[115/5000][280/535][11530] Loss_D: -0.044722 Loss_G: 0.048775 Loss_D_real: -0.048948 Loss_D_fake -0.004226
[115/5000][285/535][11531] Loss_D: -0.045711 Loss_G: 0.016350 Loss_D_real: -0.024878 Loss_D_fake 0.020833
[115/5000][290/535][11532] Loss_D: -0.045572 Loss_G: 0.001620 Loss_D_real: -0.018167 Loss_D_fake 0.027405
[115/5000][295/535][11533] Loss_D: -0.045539 Loss_G: 0.026364 Loss_D_real: -0.029836 Loss_D_fake 0.015702
[115/5000][300/535][11534] Loss_D: -0.045294 Loss_G: 0.006758 Loss_D_real: -0.016346 Loss_D_fake 0.028948
[115/5000][305/535][11535] Loss_D: -0.046660 Loss_G: 0.033592 Loss_D_real: -0.034923 Loss_D_fake 0.011737
[115/5000][310/535][11536] Loss_D: -0.046653 Loss_G: 0.010969 Loss_D_real: -0.025856 Loss_D_fake 0.020797
[115/5000][315/535][11537] Loss_D: -0.045803 Loss_G: 0.014136 Loss_D_real: -0.018472 Loss_D_fake 0.027331
[115/5000][320/535][11538] Loss_D: -0.045784 Loss_G: -0.002661 Loss_D_real: -0.011678 Loss_D_fake 0.034106
[115/5000][325/535][11539] Loss_D: -0.044742 Loss_G: 0.043460 Loss_D_real: -0.045225 Loss_D_fake -0.000483
[115/5000][330/535][11540] Loss_D: -0.048691 Loss_G: 0.029136 Loss_D_real: -0.028168 Loss_D_fake 0.020523
[115/5000][335/535][11541] Loss_D: -0.043113 Loss_G: 0.040457 Loss_D_real: -0.034538 Loss_D_fake 0.008575
[115/5000][340/535][11542] Loss_D: -0.041421 Loss_G: -0.001114 Loss_D_real: -0.007539 Loss_D_fake 0.033882
[115/5000][345/535][11543] Loss_D: -0.044231 Loss_G: 0.038954 Loss_D_real: -0.042300 Loss_D_fake 0.001931
[115/5000][350/535][11544] Loss_D: -0.045952 Loss_G: 0.052042 Loss_D_real: -0.048661 Loss_D_fake -0.002709
[115/5000][355/535][11545] Loss_D: -0.043764 Loss_G: 0.010712 Loss_D_real: -0.014975 Loss_D_fake 0.028788
[115/5000][360/535][11546] Loss_D: -0.045343 Loss_G: 0.043795 Loss_D_real: -0.045972 Loss_D_fake -0.000629
[115/5000][365/535][11547] Loss_D: -0.045453 Loss_G: 0.032798 Loss_D_real: -0.026252 Loss_D_fake 0.019202
[115/5000][370/535][11548] Loss_D: -0.046496 Loss_G: 0.039257 Loss_D_real: -0.036276 Loss_D_fake 0.010220
[115/5000][375/535][11549] Loss_D: -0.045101 Loss_G: 0.008443 Loss_D_real: -0.013440 Loss_D_fake 0.031661
[115/5000][380/535][11550] Loss_D: -0.044470 Loss_G: 0.043788 Loss_D_real: -0.043744 Loss_D_fake 0.000726
[115/5000][385/535][11551] Loss_D: -0.044748 Loss_G: 0.020060 Loss_D_real: -0.027040 Loss_D_fake 0.017708
[115/5000][390/535][11552] Loss_D: -0.044659 Loss_G: 0.045324 Loss_D_real: -0.043883 Loss_D_fake 0.000777
[115/5000][395/535][11553] Loss_D: -0.044549 Loss_G: 0.004058 Loss_D_real: -0.010490 Loss_D_fake 0.034059
[115/5000][400/535][11554] Loss_D: -0.044197 Loss_G: 0.034735 Loss_D_real: -0.031712 Loss_D_fake 0.012486
[115/5000][405/535][11555] Loss_D: -0.045141 Loss_G: 0.011449 Loss_D_real: -0.019556 Loss_D_fake 0.025585
[115/5000][410/535][11556] Loss_D: -0.045101 Loss_G: 0.031944 Loss_D_real: -0.033144 Loss_D_fake 0.011957
[115/5000][415/535][11557] Loss_D: -0.043416 Loss_G: 0.009243 Loss_D_real: -0.016021 Loss_D_fake 0.027395
[115/5000][420/535][11558] Loss_D: -0.042229 Loss_G: -0.000924 Loss_D_real: -0.011904 Loss_D_fake 0.030326
[115/5000][425/535][11559] Loss_D: -0.042688 Loss_G: 0.036649 Loss_D_real: -0.043174 Loss_D_fake -0.000486
[115/5000][430/535][11560] Loss_D: -0.047697 Loss_G: 0.004954 Loss_D_real: -0.019593 Loss_D_fake 0.028104
[115/5000][435/535][11561] Loss_D: -0.045994 Loss_G: 0.039664 Loss_D_real: -0.038368 Loss_D_fake 0.007627
[115/5000][440/535][11562] Loss_D: -0.048397 Loss_G: 0.030039 Loss_D_real: -0.028826 Loss_D_fake 0.019571
[115/5000][445/535][11563] Loss_D: -0.046404 Loss_G: -0.000945 Loss_D_real: -0.007376 Loss_D_fake 0.039028
[115/5000][450/535][11564] Loss_D: -0.045154 Loss_G: 0.047294 Loss_D_real: -0.048516 Loss_D_fake -0.003362
[115/5000][455/535][11565] Loss_D: -0.046721 Loss_G: 0.030627 Loss_D_real: -0.025843 Loss_D_fake 0.020878
[115/5000][460/535][11566] Loss_D: -0.044974 Loss_G: 0.033405 Loss_D_real: -0.029291 Loss_D_fake 0.015683
[115/5000][465/535][11567] Loss_D: -0.044180 Loss_G: 0.013269 Loss_D_real: -0.019452 Loss_D_fake 0.024729
[115/5000][470/535][11568] Loss_D: -0.046794 Loss_G: 0.033514 Loss_D_real: -0.040027 Loss_D_fake 0.006766
[115/5000][475/535][11569] Loss_D: -0.046879 Loss_G: 0.010746 Loss_D_real: -0.016986 Loss_D_fake 0.029893
[115/5000][480/535][11570] Loss_D: -0.046135 Loss_G: 0.045140 Loss_D_real: -0.044994 Loss_D_fake 0.001141
[115/5000][485/535][11571] Loss_D: -0.043830 Loss_G: -0.001982 Loss_D_real: -0.001513 Loss_D_fake 0.042318
[115/5000][490/535][11572] Loss_D: -0.044406 Loss_G: 0.029654 Loss_D_real: -0.030741 Loss_D_fake 0.013665
[115/5000][495/535][11573] Loss_D: -0.042612 Loss_G: 0.008782 Loss_D_real: -0.020006 Loss_D_fake 0.022606
[115/5000][500/535][11574] Loss_D: -0.043314 Loss_G: 0.029534 Loss_D_real: -0.029431 Loss_D_fake 0.013883
[115/5000][505/535][11575] Loss_D: -0.043495 Loss_G: 0.007987 Loss_D_real: -0.016923 Loss_D_fake 0.026573
[115/5000][510/535][11576] Loss_D: -0.042406 Loss_G: 0.046993 Loss_D_real: -0.046889 Loss_D_fake -0.004483
[115/5000][515/535][11577] Loss_D: -0.044208 Loss_G: 0.006214 Loss_D_real: -0.015966 Loss_D_fake 0.028242
[115/5000][520/535][11578] Loss_D: -0.043570 Loss_G: 0.024457 Loss_D_real: -0.029666 Loss_D_fake 0.013904
[115/5000][525/535][11579] Loss_D: -0.042645 Loss_G: 0.035246 Loss_D_real: -0.035601 Loss_D_fake 0.007045
[115/5000][530/535][11580] Loss_D: -0.045877 Loss_G: 0.028749 Loss_D_real: -0.032152 Loss_D_fake 0.013725
[115/5000][535/535][11581] Loss_D: -0.041726 Loss_G: -0.000909 Loss_D_real: -0.008047 Loss_D_fake 0.033679
[116/5000][5/535][11582] Loss_D: -0.043971 Loss_G: 0.047295 Loss_D_real: -0.050409 Loss_D_fake -0.006438
[116/5000][10/535][11583] Loss_D: -0.043925 Loss_G: -0.002027 Loss_D_real: -0.008987 Loss_D_fake 0.034939
[116/5000][15/535][11584] Loss_D: -0.044005 Loss_G: 0.021209 Loss_D_real: -0.033083 Loss_D_fake 0.010922
[116/5000][20/535][11585] Loss_D: -0.043018 Loss_G: 0.025932 Loss_D_real: -0.028428 Loss_D_fake 0.014590
[116/5000][25/535][11586] Loss_D: -0.042932 Loss_G: 0.029384 Loss_D_real: -0.038917 Loss_D_fake 0.004014
[116/5000][30/535][11587] Loss_D: -0.044399 Loss_G: 0.006729 Loss_D_real: -0.018620 Loss_D_fake 0.025779
[116/5000][35/535][11588] Loss_D: -0.043354 Loss_G: 0.030269 Loss_D_real: -0.031773 Loss_D_fake 0.011581
[116/5000][40/535][11589] Loss_D: -0.044731 Loss_G: 0.015867 Loss_D_real: -0.022570 Loss_D_fake 0.022161
[116/5000][45/535][11590] Loss_D: -0.042533 Loss_G: 0.028299 Loss_D_real: -0.035508 Loss_D_fake 0.007025
[116/5000][50/535][11591] Loss_D: -0.043715 Loss_G: 0.014407 Loss_D_real: -0.019027 Loss_D_fake 0.024688
[116/5000][55/535][11592] Loss_D: -0.043537 Loss_G: 0.040148 Loss_D_real: -0.039315 Loss_D_fake 0.004222
[116/5000][60/535][11593] Loss_D: -0.044613 Loss_G: 0.009949 Loss_D_real: -0.019652 Loss_D_fake 0.024962
[116/5000][65/535][11594] Loss_D: -0.045572 Loss_G: 0.020354 Loss_D_real: -0.023924 Loss_D_fake 0.021648
[116/5000][70/535][11595] Loss_D: -0.046394 Loss_G: 0.006276 Loss_D_real: -0.014655 Loss_D_fake 0.031739
[116/5000][75/535][11596] Loss_D: -0.046860 Loss_G: 0.029058 Loss_D_real: -0.039969 Loss_D_fake 0.006891
[116/5000][80/535][11597] Loss_D: -0.047648 Loss_G: 0.017629 Loss_D_real: -0.021694 Loss_D_fake 0.025954
[116/5000][85/535][11598] Loss_D: -0.045947 Loss_G: 0.033551 Loss_D_real: -0.040216 Loss_D_fake 0.005731
[116/5000][90/535][11599] Loss_D: -0.045779 Loss_G: 0.050216 Loss_D_real: -0.043826 Loss_D_fake 0.001953
[116/5000][95/535][11600] Loss_D: -0.045818 Loss_G: 0.014064 Loss_D_real: -0.017803 Loss_D_fake 0.028015
[116/5000][100/535][11601] Loss_D: -0.045852 Loss_G: 0.043955 Loss_D_real: -0.045914 Loss_D_fake -0.000062
[116/5000][105/535][11602] Loss_D: -0.046431 Loss_G: 0.041299 Loss_D_real: -0.034974 Loss_D_fake 0.011457
[116/5000][110/535][11603] Loss_D: -0.048046 Loss_G: 0.018768 Loss_D_real: -0.022226 Loss_D_fake 0.025820
[116/5000][115/535][11604] Loss_D: -0.047173 Loss_G: 0.037860 Loss_D_real: -0.038039 Loss_D_fake 0.009135
[116/5000][120/535][11605] Loss_D: -0.048694 Loss_G: 0.027267 Loss_D_real: -0.031843 Loss_D_fake 0.016851
[116/5000][125/535][11606] Loss_D: -0.047313 Loss_G: 0.017886 Loss_D_real: -0.026686 Loss_D_fake 0.020627
[116/5000][130/535][11607] Loss_D: -0.041182 Loss_G: 0.060477 Loss_D_real: -0.056253 Loss_D_fake -0.015071
[116/5000][135/535][11608] Loss_D: -0.043931 Loss_G: 0.002774 Loss_D_real: -0.004322 Loss_D_fake 0.039610
[116/5000][140/535][11609] Loss_D: -0.042206 Loss_G: 0.047992 Loss_D_real: -0.046162 Loss_D_fake -0.003956
[116/5000][145/535][11610] Loss_D: -0.045748 Loss_G: 0.017839 Loss_D_real: -0.017265 Loss_D_fake 0.028484
[116/5000][150/535][11611] Loss_D: -0.044493 Loss_G: 0.051839 Loss_D_real: -0.049135 Loss_D_fake -0.004642
[116/5000][155/535][11612] Loss_D: -0.045507 Loss_G: -0.005101 Loss_D_real: -0.006266 Loss_D_fake 0.039241
[116/5000][160/535][11613] Loss_D: -0.043897 Loss_G: 0.035992 Loss_D_real: -0.038245 Loss_D_fake 0.005652
[116/5000][165/535][11614] Loss_D: -0.045470 Loss_G: 0.048392 Loss_D_real: -0.044006 Loss_D_fake 0.001464
[116/5000][170/535][11615] Loss_D: -0.046754 Loss_G: 0.001560 Loss_D_real: -0.010018 Loss_D_fake 0.036736
[116/5000][175/535][11616] Loss_D: -0.043719 Loss_G: 0.041989 Loss_D_real: -0.038963 Loss_D_fake 0.004757
[116/5000][180/535][11617] Loss_D: -0.046480 Loss_G: 0.009680 Loss_D_real: -0.023388 Loss_D_fake 0.023092
[116/5000][185/535][11618] Loss_D: -0.045293 Loss_G: 0.042546 Loss_D_real: -0.039720 Loss_D_fake 0.005573
[116/5000][190/535][11619] Loss_D: -0.046672 Loss_G: -0.006496 Loss_D_real: -0.005247 Loss_D_fake 0.041425
[116/5000][195/535][11620] Loss_D: -0.044990 Loss_G: 0.030016 Loss_D_real: -0.038982 Loss_D_fake 0.006008
[116/5000][200/535][11621] Loss_D: -0.047223 Loss_G: 0.003227 Loss_D_real: -0.016088 Loss_D_fake 0.031135
[116/5000][205/535][11622] Loss_D: -0.042654 Loss_G: 0.040979 Loss_D_real: -0.049758 Loss_D_fake -0.007103
[116/5000][210/535][11623] Loss_D: -0.044088 Loss_G: 0.046994 Loss_D_real: -0.042380 Loss_D_fake 0.001708
[116/5000][215/535][11624] Loss_D: -0.043940 Loss_G: 0.031434 Loss_D_real: -0.031942 Loss_D_fake 0.011998
[116/5000][220/535][11625] Loss_D: -0.045370 Loss_G: 0.008312 Loss_D_real: -0.019659 Loss_D_fake 0.025711
[116/5000][225/535][11626] Loss_D: -0.044358 Loss_G: 0.051427 Loss_D_real: -0.050732 Loss_D_fake -0.006375
[116/5000][230/535][11627] Loss_D: -0.046672 Loss_G: 0.014440 Loss_D_real: -0.022072 Loss_D_fake 0.024600
[116/5000][235/535][11628] Loss_D: -0.046650 Loss_G: 0.021221 Loss_D_real: -0.028050 Loss_D_fake 0.018600
[116/5000][240/535][11629] Loss_D: -0.046510 Loss_G: 0.007668 Loss_D_real: -0.019336 Loss_D_fake 0.027174
[116/5000][245/535][11630] Loss_D: -0.046582 Loss_G: 0.030293 Loss_D_real: -0.033673 Loss_D_fake 0.012909
[116/5000][250/535][11631] Loss_D: -0.043870 Loss_G: 0.057230 Loss_D_real: -0.053659 Loss_D_fake -0.009789
[116/5000][255/535][11632] Loss_D: -0.042896 Loss_G: -0.005103 Loss_D_real: -0.006744 Loss_D_fake 0.036152
[116/5000][260/535][11633] Loss_D: -0.043774 Loss_G: 0.028295 Loss_D_real: -0.033800 Loss_D_fake 0.009974
[116/5000][265/535][11634] Loss_D: -0.044102 Loss_G: 0.030336 Loss_D_real: -0.028352 Loss_D_fake 0.015750
[116/5000][270/535][11635] Loss_D: -0.046894 Loss_G: 0.038705 Loss_D_real: -0.034985 Loss_D_fake 0.011909
[116/5000][275/535][11636] Loss_D: -0.046166 Loss_G: 0.018900 Loss_D_real: -0.025079 Loss_D_fake 0.021087
[116/5000][280/535][11637] Loss_D: -0.045847 Loss_G: 0.048474 Loss_D_real: -0.048292 Loss_D_fake -0.002445
[116/5000][285/535][11638] Loss_D: -0.045117 Loss_G: -0.000662 Loss_D_real: -0.007341 Loss_D_fake 0.037776
[116/5000][290/535][11639] Loss_D: -0.043340 Loss_G: 0.035648 Loss_D_real: -0.038225 Loss_D_fake 0.005115
[116/5000][295/535][11640] Loss_D: -0.043977 Loss_G: 0.007549 Loss_D_real: -0.015251 Loss_D_fake 0.028726
[116/5000][300/535][11641] Loss_D: -0.044928 Loss_G: 0.019779 Loss_D_real: -0.026296 Loss_D_fake 0.018632
[116/5000][305/535][11642] Loss_D: -0.046130 Loss_G: 0.035379 Loss_D_real: -0.038914 Loss_D_fake 0.007216
[116/5000][310/535][11643] Loss_D: -0.046676 Loss_G: 0.044254 Loss_D_real: -0.036227 Loss_D_fake 0.010449
[116/5000][315/535][11644] Loss_D: -0.045785 Loss_G: 0.000970 Loss_D_real: -0.010265 Loss_D_fake 0.035519
[116/5000][320/535][11645] Loss_D: -0.043643 Loss_G: 0.050411 Loss_D_real: -0.049883 Loss_D_fake -0.006240
[116/5000][325/535][11646] Loss_D: -0.046040 Loss_G: 0.025252 Loss_D_real: -0.030861 Loss_D_fake 0.015179
[116/5000][330/535][11647] Loss_D: -0.048027 Loss_G: 0.017689 Loss_D_real: -0.022797 Loss_D_fake 0.025229
[116/5000][335/535][11648] Loss_D: -0.045239 Loss_G: 0.051108 Loss_D_real: -0.049181 Loss_D_fake -0.003942
[116/5000][340/535][11649] Loss_D: -0.045935 Loss_G: -0.000517 Loss_D_real: -0.006086 Loss_D_fake 0.039849
[116/5000][345/535][11650] Loss_D: -0.043508 Loss_G: 0.035881 Loss_D_real: -0.039954 Loss_D_fake 0.003554
[116/5000][350/535][11651] Loss_D: -0.041738 Loss_G: 0.018359 Loss_D_real: -0.024664 Loss_D_fake 0.017074
[116/5000][355/535][11652] Loss_D: -0.043049 Loss_G: 0.045027 Loss_D_real: -0.047707 Loss_D_fake -0.004658
[116/5000][360/535][11653] Loss_D: -0.046092 Loss_G: 0.002096 Loss_D_real: -0.015807 Loss_D_fake 0.030285
[116/5000][365/535][11654] Loss_D: -0.044479 Loss_G: 0.040014 Loss_D_real: -0.040888 Loss_D_fake 0.003592
[116/5000][370/535][11655] Loss_D: -0.044691 Loss_G: 0.040736 Loss_D_real: -0.038799 Loss_D_fake 0.005892
[116/5000][375/535][11656] Loss_D: -0.043052 Loss_G: -0.008864 Loss_D_real: -0.003137 Loss_D_fake 0.039914
[116/5000][380/535][11657] Loss_D: -0.043526 Loss_G: 0.038914 Loss_D_real: -0.040583 Loss_D_fake 0.002943
[116/5000][385/535][11658] Loss_D: -0.044851 Loss_G: 0.037527 Loss_D_real: -0.036188 Loss_D_fake 0.008663
[116/5000][390/535][11659] Loss_D: -0.045763 Loss_G: 0.000658 Loss_D_real: -0.008008 Loss_D_fake 0.037754
[116/5000][395/535][11660] Loss_D: -0.043013 Loss_G: 0.043814 Loss_D_real: -0.049072 Loss_D_fake -0.006059
[116/5000][400/535][11661] Loss_D: -0.045155 Loss_G: 0.004017 Loss_D_real: -0.016930 Loss_D_fake 0.028225
[116/5000][405/535][11662] Loss_D: -0.043388 Loss_G: 0.022057 Loss_D_real: -0.026543 Loss_D_fake 0.016844
[116/5000][410/535][11663] Loss_D: -0.042357 Loss_G: 0.000369 Loss_D_real: -0.013240 Loss_D_fake 0.029117
[116/5000][415/535][11664] Loss_D: -0.043431 Loss_G: 0.025351 Loss_D_real: -0.030408 Loss_D_fake 0.013023
[116/5000][420/535][11665] Loss_D: -0.045546 Loss_G: 0.006425 Loss_D_real: -0.018841 Loss_D_fake 0.026704
[116/5000][425/535][11666] Loss_D: -0.044855 Loss_G: 0.031609 Loss_D_real: -0.039712 Loss_D_fake 0.005143
[116/5000][430/535][11667] Loss_D: -0.044161 Loss_G: 0.028400 Loss_D_real: -0.025399 Loss_D_fake 0.018761
[116/5000][435/535][11668] Loss_D: -0.045011 Loss_G: 0.018812 Loss_D_real: -0.021491 Loss_D_fake 0.023520
[116/5000][440/535][11669] Loss_D: -0.045759 Loss_G: 0.043818 Loss_D_real: -0.040157 Loss_D_fake 0.005602
[116/5000][445/535][11670] Loss_D: -0.041697 Loss_G: 0.007998 Loss_D_real: -0.008909 Loss_D_fake 0.032787
[116/5000][450/535][11671] Loss_D: -0.044155 Loss_G: 0.041952 Loss_D_real: -0.040956 Loss_D_fake 0.003199
[116/5000][455/535][11672] Loss_D: -0.044245 Loss_G: 0.033095 Loss_D_real: -0.031272 Loss_D_fake 0.012972
[116/5000][460/535][11673] Loss_D: -0.046329 Loss_G: 0.028971 Loss_D_real: -0.032074 Loss_D_fake 0.014255
[116/5000][465/535][11674] Loss_D: -0.046724 Loss_G: 0.028406 Loss_D_real: -0.027146 Loss_D_fake 0.019578
[116/5000][470/535][11675] Loss_D: -0.042792 Loss_G: 0.051184 Loss_D_real: -0.050149 Loss_D_fake -0.007357
[116/5000][475/535][11676] Loss_D: -0.045113 Loss_G: 0.016279 Loss_D_real: -0.022996 Loss_D_fake 0.022117
[116/5000][480/535][11677] Loss_D: -0.044283 Loss_G: -0.004588 Loss_D_real: -0.004660 Loss_D_fake 0.039623
[116/5000][485/535][11678] Loss_D: -0.045258 Loss_G: 0.030123 Loss_D_real: -0.031853 Loss_D_fake 0.013405
[116/5000][490/535][11679] Loss_D: -0.046032 Loss_G: 0.007925 Loss_D_real: -0.018919 Loss_D_fake 0.027114
[116/5000][495/535][11680] Loss_D: -0.043493 Loss_G: 0.047568 Loss_D_real: -0.047659 Loss_D_fake -0.004166
[116/5000][500/535][11681] Loss_D: -0.045510 Loss_G: 0.041784 Loss_D_real: -0.033164 Loss_D_fake 0.012345
[116/5000][505/535][11682] Loss_D: -0.046299 Loss_G: 0.008170 Loss_D_real: -0.014190 Loss_D_fake 0.032109
[116/5000][510/535][11683] Loss_D: -0.045608 Loss_G: 0.043290 Loss_D_real: -0.044194 Loss_D_fake 0.001414
[116/5000][515/535][11684] Loss_D: -0.044314 Loss_G: -0.006154 Loss_D_real: -0.004795 Loss_D_fake 0.039519
[116/5000][520/535][11685] Loss_D: -0.044415 Loss_G: 0.028389 Loss_D_real: -0.031525 Loss_D_fake 0.012890
[116/5000][525/535][11686] Loss_D: -0.043100 Loss_G: 0.003197 Loss_D_real: -0.013818 Loss_D_fake 0.029282
[116/5000][530/535][11687] Loss_D: -0.043918 Loss_G: 0.038679 Loss_D_real: -0.044656 Loss_D_fake -0.000738
[116/5000][535/535][11688] Loss_D: -0.048118 Loss_G: 0.019358 Loss_D_real: -0.023979 Loss_D_fake 0.024139
[117/5000][5/535][11689] Loss_D: -0.045531 Loss_G: 0.034790 Loss_D_real: -0.034855 Loss_D_fake 0.010677
[117/5000][10/535][11690] Loss_D: -0.044933 Loss_G: 0.006752 Loss_D_real: -0.019222 Loss_D_fake 0.025711
[117/5000][15/535][11691] Loss_D: -0.045100 Loss_G: 0.037353 Loss_D_real: -0.035733 Loss_D_fake 0.009367
[117/5000][20/535][11692] Loss_D: -0.047019 Loss_G: 0.034855 Loss_D_real: -0.037712 Loss_D_fake 0.009307
[117/5000][25/535][11693] Loss_D: -0.047457 Loss_G: 0.028276 Loss_D_real: -0.032119 Loss_D_fake 0.015338
[117/5000][30/535][11694] Loss_D: -0.045461 Loss_G: 0.042495 Loss_D_real: -0.050009 Loss_D_fake -0.004549
[117/5000][35/535][11695] Loss_D: -0.045192 Loss_G: 0.023308 Loss_D_real: -0.026831 Loss_D_fake 0.018360
[117/5000][40/535][11696] Loss_D: -0.045121 Loss_G: 0.040054 Loss_D_real: -0.038697 Loss_D_fake 0.006424
[117/5000][45/535][11697] Loss_D: -0.044442 Loss_G: 0.044870 Loss_D_real: -0.046029 Loss_D_fake -0.001587
[117/5000][50/535][11698] Loss_D: -0.045975 Loss_G: -0.004003 Loss_D_real: -0.012824 Loss_D_fake 0.033151
[117/5000][55/535][11699] Loss_D: -0.043323 Loss_G: 0.030043 Loss_D_real: -0.033693 Loss_D_fake 0.009630
[117/5000][60/535][11700] Loss_D: -0.046652 Loss_G: 0.028383 Loss_D_real: -0.030205 Loss_D_fake 0.016447
[117/5000][65/535][11701] Loss_D: -0.044642 Loss_G: 0.036677 Loss_D_real: -0.032779 Loss_D_fake 0.011863
[117/5000][70/535][11702] Loss_D: -0.041479 Loss_G: -0.003941 Loss_D_real: -0.009809 Loss_D_fake 0.031670
[117/5000][75/535][11703] Loss_D: -0.042898 Loss_G: 0.037715 Loss_D_real: -0.037896 Loss_D_fake 0.005002
[117/5000][80/535][11704] Loss_D: -0.042515 Loss_G: 0.011763 Loss_D_real: -0.014042 Loss_D_fake 0.028472
[117/5000][85/535][11705] Loss_D: -0.045437 Loss_G: 0.043932 Loss_D_real: -0.043394 Loss_D_fake 0.002043
[117/5000][90/535][11706] Loss_D: -0.046293 Loss_G: 0.013606 Loss_D_real: -0.024456 Loss_D_fake 0.021837
[117/5000][95/535][11707] Loss_D: -0.045549 Loss_G: 0.041312 Loss_D_real: -0.041739 Loss_D_fake 0.003809
[117/5000][100/535][11708] Loss_D: -0.044121 Loss_G: -0.004744 Loss_D_real: -0.008527 Loss_D_fake 0.035594
[117/5000][105/535][11709] Loss_D: -0.042931 Loss_G: 0.039992 Loss_D_real: -0.038674 Loss_D_fake 0.004257
[117/5000][110/535][11710] Loss_D: -0.043056 Loss_G: -0.012844 Loss_D_real: 0.002413 Loss_D_fake 0.045469
[117/5000][115/535][11711] Loss_D: -0.041320 Loss_G: 0.028245 Loss_D_real: -0.031176 Loss_D_fake 0.010144
[117/5000][120/535][11712] Loss_D: -0.044460 Loss_G: 0.030715 Loss_D_real: -0.031350 Loss_D_fake 0.013110
[117/5000][125/535][11713] Loss_D: -0.044225 Loss_G: 0.024005 Loss_D_real: -0.030123 Loss_D_fake 0.014102
[117/5000][130/535][11714] Loss_D: -0.044399 Loss_G: 0.017530 Loss_D_real: -0.026269 Loss_D_fake 0.018130
[117/5000][135/535][11715] Loss_D: -0.044667 Loss_G: 0.046086 Loss_D_real: -0.043038 Loss_D_fake 0.001629
[117/5000][140/535][11716] Loss_D: -0.046664 Loss_G: 0.018574 Loss_D_real: -0.025140 Loss_D_fake 0.021524
[117/5000][145/535][11717] Loss_D: -0.045334 Loss_G: 0.045806 Loss_D_real: -0.042697 Loss_D_fake 0.002637
[117/5000][150/535][11718] Loss_D: -0.045390 Loss_G: 0.008393 Loss_D_real: -0.016758 Loss_D_fake 0.028633
[117/5000][155/535][11719] Loss_D: -0.045219 Loss_G: 0.004288 Loss_D_real: -0.020101 Loss_D_fake 0.025118
[117/5000][160/535][11720] Loss_D: -0.046176 Loss_G: 0.037304 Loss_D_real: -0.041852 Loss_D_fake 0.004323
[117/5000][165/535][11721] Loss_D: -0.046336 Loss_G: 0.008006 Loss_D_real: -0.013752 Loss_D_fake 0.032583
[117/5000][170/535][11722] Loss_D: -0.043063 Loss_G: 0.048572 Loss_D_real: -0.042797 Loss_D_fake 0.000266
[117/5000][175/535][11723] Loss_D: -0.046657 Loss_G: 0.004111 Loss_D_real: -0.012520 Loss_D_fake 0.034137
[117/5000][180/535][11724] Loss_D: -0.045981 Loss_G: 0.038597 Loss_D_real: -0.034402 Loss_D_fake 0.011579
[117/5000][185/535][11725] Loss_D: -0.047867 Loss_G: 0.041011 Loss_D_real: -0.036153 Loss_D_fake 0.011714
[117/5000][190/535][11726] Loss_D: -0.046615 Loss_G: 0.003782 Loss_D_real: -0.011332 Loss_D_fake 0.035283
[117/5000][195/535][11727] Loss_D: -0.044660 Loss_G: 0.049104 Loss_D_real: -0.046712 Loss_D_fake -0.002052
[117/5000][200/535][11728] Loss_D: -0.045321 Loss_G: 0.013000 Loss_D_real: -0.018884 Loss_D_fake 0.026436
[117/5000][205/535][11729] Loss_D: -0.043412 Loss_G: 0.045368 Loss_D_real: -0.048366 Loss_D_fake -0.004955
[117/5000][210/535][11730] Loss_D: -0.044772 Loss_G: -0.004667 Loss_D_real: -0.005541 Loss_D_fake 0.039231
[117/5000][215/535][11731] Loss_D: -0.044113 Loss_G: 0.030132 Loss_D_real: -0.035626 Loss_D_fake 0.008488
[117/5000][220/535][11732] Loss_D: -0.043471 Loss_G: 0.021249 Loss_D_real: -0.025785 Loss_D_fake 0.017685
[117/5000][225/535][11733] Loss_D: -0.045864 Loss_G: 0.034245 Loss_D_real: -0.034823 Loss_D_fake 0.011042
[117/5000][230/535][11734] Loss_D: -0.044809 Loss_G: 0.042357 Loss_D_real: -0.040197 Loss_D_fake 0.004612
[117/5000][235/535][11735] Loss_D: -0.046081 Loss_G: -0.015860 Loss_D_real: -0.005630 Loss_D_fake 0.040451
[117/5000][240/535][11736] Loss_D: -0.043760 Loss_G: 0.029644 Loss_D_real: -0.029501 Loss_D_fake 0.014260
[117/5000][245/535][11737] Loss_D: -0.043364 Loss_G: 0.012136 Loss_D_real: -0.015712 Loss_D_fake 0.027652
[117/5000][250/535][11738] Loss_D: -0.046919 Loss_G: 0.028087 Loss_D_real: -0.031834 Loss_D_fake 0.015085
[117/5000][255/535][11739] Loss_D: -0.047219 Loss_G: 0.026301 Loss_D_real: -0.029303 Loss_D_fake 0.017916
[117/5000][260/535][11740] Loss_D: -0.047693 Loss_G: 0.019477 Loss_D_real: -0.027703 Loss_D_fake 0.019990
[117/5000][265/535][11741] Loss_D: -0.049115 Loss_G: 0.037857 Loss_D_real: -0.035749 Loss_D_fake 0.013366
[117/5000][270/535][11742] Loss_D: -0.045135 Loss_G: 0.034378 Loss_D_real: -0.040105 Loss_D_fake 0.005029
[117/5000][275/535][11743] Loss_D: -0.043914 Loss_G: 0.010241 Loss_D_real: -0.017671 Loss_D_fake 0.026243
[117/5000][280/535][11744] Loss_D: -0.044896 Loss_G: 0.041358 Loss_D_real: -0.041251 Loss_D_fake 0.003645
[117/5000][285/535][11745] Loss_D: -0.046530 Loss_G: 0.014985 Loss_D_real: -0.022446 Loss_D_fake 0.024084
[117/5000][290/535][11746] Loss_D: -0.047563 Loss_G: 0.046150 Loss_D_real: -0.036235 Loss_D_fake 0.011328
[117/5000][295/535][11747] Loss_D: -0.042026 Loss_G: -0.011437 Loss_D_real: -0.003776 Loss_D_fake 0.038250
[117/5000][300/535][11748] Loss_D: -0.044502 Loss_G: 0.038251 Loss_D_real: -0.035663 Loss_D_fake 0.008840
[117/5000][305/535][11749] Loss_D: -0.046000 Loss_G: 0.031354 Loss_D_real: -0.040634 Loss_D_fake 0.005366
[117/5000][310/535][11750] Loss_D: -0.043702 Loss_G: 0.044867 Loss_D_real: -0.040089 Loss_D_fake 0.003613
[117/5000][315/535][11751] Loss_D: -0.047015 Loss_G: -0.004334 Loss_D_real: -0.008986 Loss_D_fake 0.038029
[117/5000][320/535][11752] Loss_D: -0.042981 Loss_G: 0.027790 Loss_D_real: -0.030256 Loss_D_fake 0.012725
[117/5000][325/535][11753] Loss_D: -0.046338 Loss_G: 0.002384 Loss_D_real: -0.014742 Loss_D_fake 0.031595
[117/5000][330/535][11754] Loss_D: -0.043728 Loss_G: 0.039945 Loss_D_real: -0.038764 Loss_D_fake 0.004964
[117/5000][335/535][11755] Loss_D: -0.044564 Loss_G: 0.003597 Loss_D_real: -0.012987 Loss_D_fake 0.031577
[117/5000][340/535][11756] Loss_D: -0.041216 Loss_G: 0.028842 Loss_D_real: -0.031783 Loss_D_fake 0.009433
[117/5000][345/535][11757] Loss_D: -0.045412 Loss_G: 0.012435 Loss_D_real: -0.014988 Loss_D_fake 0.030425
[117/5000][350/535][11758] Loss_D: -0.044555 Loss_G: 0.035372 Loss_D_real: -0.037640 Loss_D_fake 0.006916
[117/5000][355/535][11759] Loss_D: -0.046748 Loss_G: 0.018712 Loss_D_real: -0.025522 Loss_D_fake 0.021226
[117/5000][360/535][11760] Loss_D: -0.045573 Loss_G: 0.029583 Loss_D_real: -0.031993 Loss_D_fake 0.013580
[117/5000][365/535][11761] Loss_D: -0.046126 Loss_G: 0.042812 Loss_D_real: -0.038122 Loss_D_fake 0.008003
[117/5000][370/535][11762] Loss_D: -0.043214 Loss_G: 0.023770 Loss_D_real: -0.028132 Loss_D_fake 0.015082
[117/5000][375/535][11763] Loss_D: -0.044263 Loss_G: 0.051863 Loss_D_real: -0.044075 Loss_D_fake 0.000188
[117/5000][380/535][11764] Loss_D: -0.043386 Loss_G: -0.001966 Loss_D_real: -0.003930 Loss_D_fake 0.039457
[117/5000][385/535][11765] Loss_D: -0.042973 Loss_G: 0.040657 Loss_D_real: -0.037564 Loss_D_fake 0.005409
[117/5000][390/535][11766] Loss_D: -0.045251 Loss_G: 0.002937 Loss_D_real: -0.010444 Loss_D_fake 0.034807
[117/5000][395/535][11767] Loss_D: -0.044156 Loss_G: 0.031067 Loss_D_real: -0.039739 Loss_D_fake 0.004417
[117/5000][400/535][11768] Loss_D: -0.046437 Loss_G: 0.013726 Loss_D_real: -0.017420 Loss_D_fake 0.029017
[117/5000][405/535][11769] Loss_D: -0.044955 Loss_G: 0.051628 Loss_D_real: -0.048583 Loss_D_fake -0.003629
[117/5000][410/535][11770] Loss_D: -0.045431 Loss_G: -0.000071 Loss_D_real: -0.013947 Loss_D_fake 0.031484
[117/5000][415/535][11771] Loss_D: -0.043426 Loss_G: 0.007829 Loss_D_real: -0.015765 Loss_D_fake 0.027661
[117/5000][420/535][11772] Loss_D: -0.043760 Loss_G: 0.024748 Loss_D_real: -0.028457 Loss_D_fake 0.015303
[117/5000][425/535][11773] Loss_D: -0.046143 Loss_G: 0.037904 Loss_D_real: -0.042252 Loss_D_fake 0.003891
[117/5000][430/535][11774] Loss_D: -0.045394 Loss_G: 0.000930 Loss_D_real: -0.015504 Loss_D_fake 0.029890
[117/5000][435/535][11775] Loss_D: -0.045694 Loss_G: 0.037550 Loss_D_real: -0.036178 Loss_D_fake 0.009516
[117/5000][440/535][11776] Loss_D: -0.046784 Loss_G: -0.000075 Loss_D_real: -0.013474 Loss_D_fake 0.033310
[117/5000][445/535][11777] Loss_D: -0.043357 Loss_G: 0.045458 Loss_D_real: -0.043006 Loss_D_fake 0.000351
[117/5000][450/535][11778] Loss_D: -0.044141 Loss_G: 0.016296 Loss_D_real: -0.016828 Loss_D_fake 0.027313
[117/5000][455/535][11779] Loss_D: -0.045399 Loss_G: 0.039210 Loss_D_real: -0.040356 Loss_D_fake 0.005044
[117/5000][460/535][11780] Loss_D: -0.043499 Loss_G: 0.000887 Loss_D_real: -0.007956 Loss_D_fake 0.035543
[117/5000][465/535][11781] Loss_D: -0.045345 Loss_G: 0.035966 Loss_D_real: -0.036271 Loss_D_fake 0.009074
[117/5000][470/535][11782] Loss_D: -0.044485 Loss_G: 0.051327 Loss_D_real: -0.041843 Loss_D_fake 0.002641
[117/5000][475/535][11783] Loss_D: -0.047202 Loss_G: 0.025534 Loss_D_real: -0.025947 Loss_D_fake 0.021256
[117/5000][480/535][11784] Loss_D: -0.046562 Loss_G: 0.001488 Loss_D_real: -0.010456 Loss_D_fake 0.036105
[117/5000][485/535][11785] Loss_D: -0.046116 Loss_G: 0.028683 Loss_D_real: -0.034029 Loss_D_fake 0.012088
[117/5000][490/535][11786] Loss_D: -0.044225 Loss_G: -0.001761 Loss_D_real: -0.005059 Loss_D_fake 0.039166
[117/5000][495/535][11787] Loss_D: -0.044103 Loss_G: 0.047709 Loss_D_real: -0.049926 Loss_D_fake -0.005823
[117/5000][500/535][11788] Loss_D: -0.044992 Loss_G: 0.004248 Loss_D_real: -0.013963 Loss_D_fake 0.031029
[117/5000][505/535][11789] Loss_D: -0.043347 Loss_G: 0.041638 Loss_D_real: -0.041955 Loss_D_fake 0.001392
[117/5000][510/535][11790] Loss_D: -0.043390 Loss_G: 0.016106 Loss_D_real: -0.027236 Loss_D_fake 0.016155
[117/5000][515/535][11791] Loss_D: -0.043961 Loss_G: 0.043741 Loss_D_real: -0.048117 Loss_D_fake -0.004156
[117/5000][520/535][11792] Loss_D: -0.046996 Loss_G: 0.011848 Loss_D_real: -0.024882 Loss_D_fake 0.022115
[117/5000][525/535][11793] Loss_D: -0.045758 Loss_G: 0.043443 Loss_D_real: -0.044619 Loss_D_fake 0.001139
[117/5000][530/535][11794] Loss_D: -0.045890 Loss_G: 0.004025 Loss_D_real: -0.014906 Loss_D_fake 0.030984
[117/5000][535/535][11795] Loss_D: -0.042654 Loss_G: 0.030391 Loss_D_real: -0.024097 Loss_D_fake 0.018557
[118/5000][5/535][11796] Loss_D: -0.042408 Loss_G: 0.036912 Loss_D_real: -0.036740 Loss_D_fake 0.005668
[118/5000][10/535][11797] Loss_D: -0.045193 Loss_G: -0.003507 Loss_D_real: -0.009757 Loss_D_fake 0.035435
[118/5000][15/535][11798] Loss_D: -0.044332 Loss_G: 0.030833 Loss_D_real: -0.030483 Loss_D_fake 0.013849
[118/5000][20/535][11799] Loss_D: -0.044744 Loss_G: 0.009624 Loss_D_real: -0.013620 Loss_D_fake 0.031124
[118/5000][25/535][11800] Loss_D: -0.039731 Loss_G: 0.053432 Loss_D_real: -0.051054 Loss_D_fake -0.011323
[118/5000][30/535][11801] Loss_D: -0.045130 Loss_G: -0.006812 Loss_D_real: -0.009644 Loss_D_fake 0.035486
[118/5000][35/535][11802] Loss_D: -0.041967 Loss_G: 0.041731 Loss_D_real: -0.036750 Loss_D_fake 0.005217
[118/5000][40/535][11803] Loss_D: -0.045231 Loss_G: 0.010950 Loss_D_real: -0.019408 Loss_D_fake 0.025823
[118/5000][45/535][11804] Loss_D: -0.043492 Loss_G: 0.042439 Loss_D_real: -0.043442 Loss_D_fake 0.000050
[118/5000][50/535][11805] Loss_D: -0.046995 Loss_G: 0.023374 Loss_D_real: -0.027140 Loss_D_fake 0.019855
[118/5000][55/535][11806] Loss_D: -0.044044 Loss_G: 0.041744 Loss_D_real: -0.040647 Loss_D_fake 0.003397
[118/5000][60/535][11807] Loss_D: -0.046624 Loss_G: 0.029874 Loss_D_real: -0.035398 Loss_D_fake 0.011226
[118/5000][65/535][11808] Loss_D: -0.046615 Loss_G: 0.001907 Loss_D_real: -0.011938 Loss_D_fake 0.034678
[118/5000][70/535][11809] Loss_D: -0.044157 Loss_G: 0.042712 Loss_D_real: -0.044700 Loss_D_fake -0.000543
[118/5000][75/535][11810] Loss_D: -0.043903 Loss_G: 0.017496 Loss_D_real: -0.020103 Loss_D_fake 0.023800
[118/5000][80/535][11811] Loss_D: -0.045794 Loss_G: 0.012039 Loss_D_real: -0.023448 Loss_D_fake 0.022346
[118/5000][85/535][11812] Loss_D: -0.043164 Loss_G: 0.031470 Loss_D_real: -0.029939 Loss_D_fake 0.013225
[118/5000][90/535][11813] Loss_D: -0.048018 Loss_G: 0.021002 Loss_D_real: -0.023273 Loss_D_fake 0.024745
[118/5000][95/535][11814] Loss_D: -0.042453 Loss_G: 0.051269 Loss_D_real: -0.048494 Loss_D_fake -0.006042
[118/5000][100/535][11815] Loss_D: -0.044944 Loss_G: 0.007313 Loss_D_real: -0.011948 Loss_D_fake 0.032996
[118/5000][105/535][11816] Loss_D: -0.041928 Loss_G: -0.008033 Loss_D_real: -0.003006 Loss_D_fake 0.038922
[118/5000][110/535][11817] Loss_D: -0.041284 Loss_G: 0.037701 Loss_D_real: -0.044475 Loss_D_fake -0.003191
[118/5000][115/535][11818] Loss_D: -0.046056 Loss_G: 0.014972 Loss_D_real: -0.024412 Loss_D_fake 0.021644
[118/5000][120/535][11819] Loss_D: -0.044218 Loss_G: 0.050245 Loss_D_real: -0.043912 Loss_D_fake 0.000305
[118/5000][125/535][11820] Loss_D: -0.043874 Loss_G: 0.019020 Loss_D_real: -0.025156 Loss_D_fake 0.018718
[118/5000][130/535][11821] Loss_D: -0.045968 Loss_G: 0.028209 Loss_D_real: -0.026813 Loss_D_fake 0.019155
[118/5000][135/535][11822] Loss_D: -0.046231 Loss_G: 0.012389 Loss_D_real: -0.013936 Loss_D_fake 0.032295
[118/5000][140/535][11823] Loss_D: -0.045839 Loss_G: 0.024689 Loss_D_real: -0.030627 Loss_D_fake 0.015212
[118/5000][145/535][11824] Loss_D: -0.046642 Loss_G: 0.037241 Loss_D_real: -0.034974 Loss_D_fake 0.011668
[118/5000][150/535][11825] Loss_D: -0.043791 Loss_G: 0.004647 Loss_D_real: -0.011905 Loss_D_fake 0.031886
[118/5000][155/535][11826] Loss_D: -0.042928 Loss_G: 0.034999 Loss_D_real: -0.032914 Loss_D_fake 0.010014
[118/5000][160/535][11827] Loss_D: -0.041884 Loss_G: 0.000277 Loss_D_real: -0.003470 Loss_D_fake 0.038414
[118/5000][165/535][11828] Loss_D: -0.041883 Loss_G: 0.036212 Loss_D_real: -0.040464 Loss_D_fake 0.001419
[118/5000][170/535][11829] Loss_D: -0.042547 Loss_G: 0.006153 Loss_D_real: -0.009689 Loss_D_fake 0.032857
[118/5000][175/535][11830] Loss_D: -0.044893 Loss_G: 0.029571 Loss_D_real: -0.038140 Loss_D_fake 0.006753
[118/5000][180/535][11831] Loss_D: -0.043395 Loss_G: 0.041519 Loss_D_real: -0.036817 Loss_D_fake 0.006578
[118/5000][185/535][11832] Loss_D: -0.044967 Loss_G: 0.006104 Loss_D_real: -0.016200 Loss_D_fake 0.028767
[118/5000][190/535][11833] Loss_D: -0.043883 Loss_G: 0.035517 Loss_D_real: -0.039617 Loss_D_fake 0.004266
[118/5000][195/535][11834] Loss_D: -0.044615 Loss_G: 0.012861 Loss_D_real: -0.020622 Loss_D_fake 0.023993
[118/5000][200/535][11835] Loss_D: -0.047859 Loss_G: 0.016030 Loss_D_real: -0.019559 Loss_D_fake 0.028300
[118/5000][205/535][11836] Loss_D: -0.047721 Loss_G: 0.046110 Loss_D_real: -0.042063 Loss_D_fake 0.005658
[118/5000][210/535][11837] Loss_D: -0.046683 Loss_G: 0.020104 Loss_D_real: -0.024914 Loss_D_fake 0.021769
[118/5000][215/535][11838] Loss_D: -0.044329 Loss_G: 0.040457 Loss_D_real: -0.048420 Loss_D_fake -0.004091
[118/5000][220/535][11839] Loss_D: -0.044004 Loss_G: 0.011118 Loss_D_real: -0.016934 Loss_D_fake 0.027069
[118/5000][225/535][11840] Loss_D: -0.044063 Loss_G: 0.023119 Loss_D_real: -0.027517 Loss_D_fake 0.016546
[118/5000][230/535][11841] Loss_D: -0.044463 Loss_G: 0.016200 Loss_D_real: -0.016098 Loss_D_fake 0.028365
[118/5000][235/535][11842] Loss_D: -0.045260 Loss_G: 0.035472 Loss_D_real: -0.036167 Loss_D_fake 0.009093
[118/5000][240/535][11843] Loss_D: -0.042714 Loss_G: 0.009563 Loss_D_real: -0.012510 Loss_D_fake 0.030204
[118/5000][245/535][11844] Loss_D: -0.044849 Loss_G: 0.035937 Loss_D_real: -0.035104 Loss_D_fake 0.009746
[118/5000][250/535][11845] Loss_D: -0.043737 Loss_G: 0.004407 Loss_D_real: -0.011893 Loss_D_fake 0.031844
[118/5000][255/535][11846] Loss_D: -0.042878 Loss_G: 0.011215 Loss_D_real: -0.024894 Loss_D_fake 0.017983
[118/5000][260/535][11847] Loss_D: -0.044174 Loss_G: 0.032068 Loss_D_real: -0.036174 Loss_D_fake 0.008000
[118/5000][265/535][11848] Loss_D: -0.045212 Loss_G: 0.023385 Loss_D_real: -0.028262 Loss_D_fake 0.016951
[118/5000][270/535][11849] Loss_D: -0.043619 Loss_G: 0.033665 Loss_D_real: -0.036292 Loss_D_fake 0.007327
[118/5000][275/535][11850] Loss_D: -0.044061 Loss_G: 0.014851 Loss_D_real: -0.022583 Loss_D_fake 0.021478
[118/5000][280/535][11851] Loss_D: -0.044007 Loss_G: 0.048479 Loss_D_real: -0.045419 Loss_D_fake -0.001413
[118/5000][285/535][11852] Loss_D: -0.044426 Loss_G: 0.031169 Loss_D_real: -0.026791 Loss_D_fake 0.017635
[118/5000][290/535][11853] Loss_D: -0.048668 Loss_G: 0.013184 Loss_D_real: -0.027429 Loss_D_fake 0.021239
[118/5000][295/535][11854] Loss_D: -0.046955 Loss_G: 0.004724 Loss_D_real: -0.015919 Loss_D_fake 0.031036
[118/5000][300/535][11855] Loss_D: -0.045103 Loss_G: 0.050250 Loss_D_real: -0.046420 Loss_D_fake -0.001318
[118/5000][305/535][11856] Loss_D: -0.040479 Loss_G: -0.013015 Loss_D_real: 0.003836 Loss_D_fake 0.044315
[118/5000][310/535][11857] Loss_D: -0.044148 Loss_G: 0.033819 Loss_D_real: -0.037066 Loss_D_fake 0.007082
[118/5000][315/535][11858] Loss_D: -0.044825 Loss_G: -0.003769 Loss_D_real: -0.016897 Loss_D_fake 0.027929
[118/5000][320/535][11859] Loss_D: -0.041681 Loss_G: 0.051046 Loss_D_real: -0.050901 Loss_D_fake -0.009220
[118/5000][325/535][11860] Loss_D: -0.046445 Loss_G: 0.008242 Loss_D_real: -0.013885 Loss_D_fake 0.032560
[118/5000][330/535][11861] Loss_D: -0.043796 Loss_G: 0.048302 Loss_D_real: -0.047940 Loss_D_fake -0.004145
[118/5000][335/535][11862] Loss_D: -0.047082 Loss_G: 0.013649 Loss_D_real: -0.021424 Loss_D_fake 0.025658
[118/5000][340/535][11863] Loss_D: -0.045181 Loss_G: 0.034479 Loss_D_real: -0.032300 Loss_D_fake 0.012881
[118/5000][345/535][11864] Loss_D: -0.043585 Loss_G: -0.000526 Loss_D_real: -0.007989 Loss_D_fake 0.035596
[118/5000][350/535][11865] Loss_D: -0.041884 Loss_G: 0.036065 Loss_D_real: -0.038051 Loss_D_fake 0.003833
[118/5000][355/535][11866] Loss_D: -0.043693 Loss_G: 0.001123 Loss_D_real: -0.005431 Loss_D_fake 0.038262
[118/5000][360/535][11867] Loss_D: -0.043338 Loss_G: 0.016151 Loss_D_real: -0.025615 Loss_D_fake 0.017723
[118/5000][365/535][11868] Loss_D: -0.043155 Loss_G: 0.024825 Loss_D_real: -0.034431 Loss_D_fake 0.008725
[118/5000][370/535][11869] Loss_D: -0.044996 Loss_G: 0.044646 Loss_D_real: -0.046321 Loss_D_fake -0.001325
[118/5000][375/535][11870] Loss_D: -0.046156 Loss_G: 0.046757 Loss_D_real: -0.039714 Loss_D_fake 0.006441
[118/5000][380/535][11871] Loss_D: -0.045290 Loss_G: 0.005708 Loss_D_real: -0.018021 Loss_D_fake 0.027269
[118/5000][385/535][11872] Loss_D: -0.045132 Loss_G: 0.030626 Loss_D_real: -0.028915 Loss_D_fake 0.016217
[118/5000][390/535][11873] Loss_D: -0.044142 Loss_G: 0.006804 Loss_D_real: -0.017219 Loss_D_fake 0.026923
[118/5000][395/535][11874] Loss_D: -0.045490 Loss_G: 0.043885 Loss_D_real: -0.044484 Loss_D_fake 0.001007
[118/5000][400/535][11875] Loss_D: -0.048327 Loss_G: 0.003102 Loss_D_real: -0.016122 Loss_D_fake 0.032205
[118/5000][405/535][11876] Loss_D: -0.040636 Loss_G: 0.050090 Loss_D_real: -0.046859 Loss_D_fake -0.006223
[118/5000][410/535][11877] Loss_D: -0.043842 Loss_G: 0.001209 Loss_D_real: -0.011341 Loss_D_fake 0.032502
[118/5000][415/535][11878] Loss_D: -0.043386 Loss_G: 0.039983 Loss_D_real: -0.039948 Loss_D_fake 0.003438
[118/5000][420/535][11879] Loss_D: -0.046780 Loss_G: 0.015599 Loss_D_real: -0.024835 Loss_D_fake 0.021945
[118/5000][425/535][11880] Loss_D: -0.044345 Loss_G: 0.030187 Loss_D_real: -0.038297 Loss_D_fake 0.006048
[118/5000][430/535][11881] Loss_D: -0.043808 Loss_G: 0.044724 Loss_D_real: -0.046238 Loss_D_fake -0.002430
[118/5000][435/535][11882] Loss_D: -0.045576 Loss_G: 0.032345 Loss_D_real: -0.037869 Loss_D_fake 0.007706
[118/5000][440/535][11883] Loss_D: -0.044217 Loss_G: 0.047946 Loss_D_real: -0.044745 Loss_D_fake -0.000527
[118/5000][445/535][11884] Loss_D: -0.045124 Loss_G: 0.009055 Loss_D_real: -0.013887 Loss_D_fake 0.031237
[118/5000][450/535][11885] Loss_D: -0.043134 Loss_G: 0.041301 Loss_D_real: -0.044349 Loss_D_fake -0.001214
[118/5000][455/535][11886] Loss_D: -0.045649 Loss_G: 0.032616 Loss_D_real: -0.033387 Loss_D_fake 0.012262
[118/5000][460/535][11887] Loss_D: -0.046733 Loss_G: 0.023074 Loss_D_real: -0.025333 Loss_D_fake 0.021399
[118/5000][465/535][11888] Loss_D: -0.042906 Loss_G: 0.048458 Loss_D_real: -0.048477 Loss_D_fake -0.005571
[118/5000][470/535][11889] Loss_D: -0.045345 Loss_G: 0.001969 Loss_D_real: -0.011524 Loss_D_fake 0.033821
[118/5000][475/535][11890] Loss_D: -0.043626 Loss_G: 0.037008 Loss_D_real: -0.038125 Loss_D_fake 0.005501
[118/5000][480/535][11891] Loss_D: -0.044380 Loss_G: -0.000142 Loss_D_real: -0.008957 Loss_D_fake 0.035423
[118/5000][485/535][11892] Loss_D: -0.043398 Loss_G: 0.034908 Loss_D_real: -0.042516 Loss_D_fake 0.000882
[118/5000][490/535][11893] Loss_D: -0.045891 Loss_G: 0.024093 Loss_D_real: -0.030678 Loss_D_fake 0.015213
[118/5000][495/535][11894] Loss_D: -0.047279 Loss_G: 0.021131 Loss_D_real: -0.026761 Loss_D_fake 0.020518
[118/5000][500/535][11895] Loss_D: -0.046190 Loss_G: 0.042967 Loss_D_real: -0.043808 Loss_D_fake 0.002382
[118/5000][505/535][11896] Loss_D: -0.044396 Loss_G: 0.015580 Loss_D_real: -0.023305 Loss_D_fake 0.021090
[118/5000][510/535][11897] Loss_D: -0.044000 Loss_G: 0.047633 Loss_D_real: -0.044972 Loss_D_fake -0.000972
[118/5000][515/535][11898] Loss_D: -0.043455 Loss_G: -0.005330 Loss_D_real: -0.004075 Loss_D_fake 0.039379
[118/5000][520/535][11899] Loss_D: -0.043614 Loss_G: 0.035087 Loss_D_real: -0.038080 Loss_D_fake 0.005534
[118/5000][525/535][11900] Loss_D: -0.043738 Loss_G: 0.010834 Loss_D_real: -0.017568 Loss_D_fake 0.026170
[118/5000][530/535][11901] Loss_D: -0.044758 Loss_G: 0.027741 Loss_D_real: -0.030536 Loss_D_fake 0.014223
[118/5000][535/535][11902] Loss_D: -0.044439 Loss_G: 0.008012 Loss_D_real: -0.016336 Loss_D_fake 0.028103
[119/5000][5/535][11903] Loss_D: -0.044956 Loss_G: 0.023392 Loss_D_real: -0.028381 Loss_D_fake 0.016574
[119/5000][10/535][11904] Loss_D: -0.043546 Loss_G: 0.045019 Loss_D_real: -0.047268 Loss_D_fake -0.003721
[119/5000][15/535][11905] Loss_D: -0.045747 Loss_G: 0.026052 Loss_D_real: -0.025567 Loss_D_fake 0.020179
[119/5000][20/535][11906] Loss_D: -0.045750 Loss_G: 0.005091 Loss_D_real: -0.020616 Loss_D_fake 0.025133
[119/5000][25/535][11907] Loss_D: -0.044045 Loss_G: 0.017441 Loss_D_real: -0.022286 Loss_D_fake 0.021759
[119/5000][30/535][11908] Loss_D: -0.043483 Loss_G: 0.032896 Loss_D_real: -0.034769 Loss_D_fake 0.008714
[119/5000][35/535][11909] Loss_D: -0.043415 Loss_G: 0.005242 Loss_D_real: -0.014185 Loss_D_fake 0.029230
[119/5000][40/535][11910] Loss_D: -0.044750 Loss_G: 0.033111 Loss_D_real: -0.038184 Loss_D_fake 0.006566
[119/5000][45/535][11911] Loss_D: -0.044188 Loss_G: 0.042132 Loss_D_real: -0.040026 Loss_D_fake 0.004162
[119/5000][50/535][11912] Loss_D: -0.044080 Loss_G: -0.001846 Loss_D_real: -0.009129 Loss_D_fake 0.034951
[119/5000][55/535][11913] Loss_D: -0.045743 Loss_G: 0.045460 Loss_D_real: -0.040010 Loss_D_fake 0.005733
[119/5000][60/535][11914] Loss_D: -0.041473 Loss_G: -0.004492 Loss_D_real: -0.007894 Loss_D_fake 0.033578
[119/5000][65/535][11915] Loss_D: -0.043136 Loss_G: 0.018521 Loss_D_real: -0.025447 Loss_D_fake 0.017690
[119/5000][70/535][11916] Loss_D: -0.042328 Loss_G: 0.014739 Loss_D_real: -0.016150 Loss_D_fake 0.026178
[119/5000][75/535][11917] Loss_D: -0.042638 Loss_G: 0.023069 Loss_D_real: -0.026903 Loss_D_fake 0.015735
[119/5000][80/535][11918] Loss_D: -0.047469 Loss_G: 0.036984 Loss_D_real: -0.032251 Loss_D_fake 0.015218
[119/5000][85/535][11919] Loss_D: -0.044460 Loss_G: 0.042514 Loss_D_real: -0.042399 Loss_D_fake 0.002061
[119/5000][90/535][11920] Loss_D: -0.046140 Loss_G: 0.020165 Loss_D_real: -0.029346 Loss_D_fake 0.016794
[119/5000][95/535][11921] Loss_D: -0.045523 Loss_G: 0.020297 Loss_D_real: -0.026180 Loss_D_fake 0.019343
[119/5000][100/535][11922] Loss_D: -0.044612 Loss_G: 0.040252 Loss_D_real: -0.045428 Loss_D_fake -0.000815
[119/5000][105/535][11923] Loss_D: -0.045435 Loss_G: 0.016441 Loss_D_real: -0.022133 Loss_D_fake 0.023302
[119/5000][110/535][11924] Loss_D: -0.045839 Loss_G: 0.013654 Loss_D_real: -0.022791 Loss_D_fake 0.023048
[119/5000][115/535][11925] Loss_D: -0.043370 Loss_G: 0.051938 Loss_D_real: -0.049437 Loss_D_fake -0.006067
[119/5000][120/535][11926] Loss_D: -0.045577 Loss_G: 0.027906 Loss_D_real: -0.029522 Loss_D_fake 0.016055
[119/5000][125/535][11927] Loss_D: -0.044190 Loss_G: 0.049021 Loss_D_real: -0.044285 Loss_D_fake -0.000095
[119/5000][130/535][11928] Loss_D: -0.044606 Loss_G: -0.005740 Loss_D_real: -0.012553 Loss_D_fake 0.032054
[119/5000][135/535][11929] Loss_D: -0.044450 Loss_G: 0.041695 Loss_D_real: -0.043326 Loss_D_fake 0.001124
[119/5000][140/535][11930] Loss_D: -0.045580 Loss_G: 0.007563 Loss_D_real: -0.023971 Loss_D_fake 0.021609
[119/5000][145/535][11931] Loss_D: -0.043847 Loss_G: 0.040324 Loss_D_real: -0.044090 Loss_D_fake -0.000243
[119/5000][150/535][11932] Loss_D: -0.044318 Loss_G: -0.004028 Loss_D_real: -0.007920 Loss_D_fake 0.036398
[119/5000][155/535][11933] Loss_D: -0.042539 Loss_G: 0.031502 Loss_D_real: -0.032130 Loss_D_fake 0.010410
[119/5000][160/535][11934] Loss_D: -0.046789 Loss_G: 0.010883 Loss_D_real: -0.027002 Loss_D_fake 0.019787
[119/5000][165/535][11935] Loss_D: -0.046207 Loss_G: 0.040468 Loss_D_real: -0.044968 Loss_D_fake 0.001239
[119/5000][170/535][11936] Loss_D: -0.045276 Loss_G: 0.038165 Loss_D_real: -0.038662 Loss_D_fake 0.006614
[119/5000][175/535][11937] Loss_D: -0.045832 Loss_G: 0.006145 Loss_D_real: -0.014284 Loss_D_fake 0.031547
[119/5000][180/535][11938] Loss_D: -0.042450 Loss_G: 0.046993 Loss_D_real: -0.043603 Loss_D_fake -0.001153
[119/5000][185/535][11939] Loss_D: -0.042774 Loss_G: 0.004449 Loss_D_real: -0.011318 Loss_D_fake 0.031455
[119/5000][190/535][11940] Loss_D: -0.042667 Loss_G: 0.043067 Loss_D_real: -0.049091 Loss_D_fake -0.006424
[119/5000][195/535][11941] Loss_D: -0.045540 Loss_G: 0.021813 Loss_D_real: -0.029139 Loss_D_fake 0.016402
[119/5000][200/535][11942] Loss_D: -0.046620 Loss_G: 0.004213 Loss_D_real: -0.011815 Loss_D_fake 0.034806
[119/5000][205/535][11943] Loss_D: -0.046193 Loss_G: 0.037314 Loss_D_real: -0.034780 Loss_D_fake 0.011413
[119/5000][210/535][11944] Loss_D: -0.046877 Loss_G: 0.027913 Loss_D_real: -0.037015 Loss_D_fake 0.009862
[119/5000][215/535][11945] Loss_D: -0.046435 Loss_G: 0.019029 Loss_D_real: -0.030708 Loss_D_fake 0.015728
[119/5000][220/535][11946] Loss_D: -0.045290 Loss_G: 0.046763 Loss_D_real: -0.046728 Loss_D_fake -0.001438
[119/5000][225/535][11947] Loss_D: -0.044745 Loss_G: -0.004362 Loss_D_real: -0.006996 Loss_D_fake 0.037749
[119/5000][230/535][11948] Loss_D: -0.042303 Loss_G: 0.028894 Loss_D_real: -0.032877 Loss_D_fake 0.009425
[119/5000][235/535][11949] Loss_D: -0.043589 Loss_G: 0.006144 Loss_D_real: -0.008474 Loss_D_fake 0.035115
[119/5000][240/535][11950] Loss_D: -0.045647 Loss_G: 0.033078 Loss_D_real: -0.031274 Loss_D_fake 0.014373
[119/5000][245/535][11951] Loss_D: -0.046620 Loss_G: 0.028262 Loss_D_real: -0.033437 Loss_D_fake 0.013183
[119/5000][250/535][11952] Loss_D: -0.046509 Loss_G: 0.035847 Loss_D_real: -0.036557 Loss_D_fake 0.009952
[119/5000][255/535][11953] Loss_D: -0.041845 Loss_G: 0.010275 Loss_D_real: -0.017897 Loss_D_fake 0.023947
[119/5000][260/535][11954] Loss_D: -0.044458 Loss_G: 0.039505 Loss_D_real: -0.042232 Loss_D_fake 0.002226
[119/5000][265/535][11955] Loss_D: -0.044703 Loss_G: 0.014500 Loss_D_real: -0.022901 Loss_D_fake 0.021802
[119/5000][270/535][11956] Loss_D: -0.044928 Loss_G: 0.038522 Loss_D_real: -0.040840 Loss_D_fake 0.004088
[119/5000][275/535][11957] Loss_D: -0.042671 Loss_G: 0.011159 Loss_D_real: -0.019935 Loss_D_fake 0.022735
[119/5000][280/535][11958] Loss_D: -0.043673 Loss_G: 0.027780 Loss_D_real: -0.033338 Loss_D_fake 0.010336
[119/5000][285/535][11959] Loss_D: -0.044855 Loss_G: 0.000611 Loss_D_real: -0.011082 Loss_D_fake 0.033772
[119/5000][290/535][11960] Loss_D: -0.043082 Loss_G: 0.041487 Loss_D_real: -0.044074 Loss_D_fake -0.000993
[119/5000][295/535][11961] Loss_D: -0.046735 Loss_G: 0.028006 Loss_D_real: -0.035289 Loss_D_fake 0.011446
[119/5000][300/535][11962] Loss_D: -0.046064 Loss_G: 0.037671 Loss_D_real: -0.034779 Loss_D_fake 0.011285
[119/5000][305/535][11963] Loss_D: -0.046015 Loss_G: 0.022783 Loss_D_real: -0.026339 Loss_D_fake 0.019675
[119/5000][310/535][11964] Loss_D: -0.044744 Loss_G: 0.019711 Loss_D_real: -0.027337 Loss_D_fake 0.017408
[119/5000][315/535][11965] Loss_D: -0.044868 Loss_G: 0.008537 Loss_D_real: -0.023287 Loss_D_fake 0.021581
[119/5000][320/535][11966] Loss_D: -0.044112 Loss_G: 0.035445 Loss_D_real: -0.032856 Loss_D_fake 0.011256
[119/5000][325/535][11967] Loss_D: -0.042867 Loss_G: -0.003639 Loss_D_real: -0.009953 Loss_D_fake 0.032914
[119/5000][330/535][11968] Loss_D: -0.043417 Loss_G: 0.021708 Loss_D_real: -0.027481 Loss_D_fake 0.015936
[119/5000][335/535][11969] Loss_D: -0.043966 Loss_G: 0.036469 Loss_D_real: -0.030850 Loss_D_fake 0.013116
[119/5000][340/535][11970] Loss_D: -0.045642 Loss_G: 0.026870 Loss_D_real: -0.030251 Loss_D_fake 0.015391
[119/5000][345/535][11971] Loss_D: -0.044182 Loss_G: 0.001918 Loss_D_real: -0.012257 Loss_D_fake 0.031925
[119/5000][350/535][11972] Loss_D: -0.043450 Loss_G: 0.046015 Loss_D_real: -0.047088 Loss_D_fake -0.003637
[119/5000][355/535][11973] Loss_D: -0.045557 Loss_G: 0.000008 Loss_D_real: -0.010505 Loss_D_fake 0.035052
[119/5000][360/535][11974] Loss_D: -0.044062 Loss_G: 0.039124 Loss_D_real: -0.041938 Loss_D_fake 0.002125
[119/5000][365/535][11975] Loss_D: -0.047467 Loss_G: 0.025595 Loss_D_real: -0.026970 Loss_D_fake 0.020497
[119/5000][370/535][11976] Loss_D: -0.044333 Loss_G: 0.028020 Loss_D_real: -0.025191 Loss_D_fake 0.019141
[119/5000][375/535][11977] Loss_D: -0.046050 Loss_G: 0.007935 Loss_D_real: -0.024780 Loss_D_fake 0.021270
[119/5000][380/535][11978] Loss_D: -0.043907 Loss_G: 0.026979 Loss_D_real: -0.033026 Loss_D_fake 0.010880
[119/5000][385/535][11979] Loss_D: -0.045161 Loss_G: 0.058737 Loss_D_real: -0.051582 Loss_D_fake -0.006421
[119/5000][390/535][11980] Loss_D: -0.040367 Loss_G: -0.015375 Loss_D_real: -0.001574 Loss_D_fake 0.038793
[119/5000][395/535][11981] Loss_D: -0.042537 Loss_G: 0.032422 Loss_D_real: -0.033053 Loss_D_fake 0.009484
[119/5000][400/535][11982] Loss_D: -0.043467 Loss_G: 0.027156 Loss_D_real: -0.033427 Loss_D_fake 0.010041
[119/5000][405/535][11983] Loss_D: -0.044631 Loss_G: 0.032915 Loss_D_real: -0.033615 Loss_D_fake 0.011016
[119/5000][410/535][11984] Loss_D: -0.043978 Loss_G: 0.048074 Loss_D_real: -0.042631 Loss_D_fake 0.001347
[119/5000][415/535][11985] Loss_D: -0.046174 Loss_G: 0.013940 Loss_D_real: -0.024987 Loss_D_fake 0.021187
[119/5000][420/535][11986] Loss_D: -0.045554 Loss_G: 0.036209 Loss_D_real: -0.039926 Loss_D_fake 0.005628
[119/5000][425/535][11987] Loss_D: -0.043035 Loss_G: 0.000262 Loss_D_real: -0.011205 Loss_D_fake 0.031830
[119/5000][430/535][11988] Loss_D: -0.043515 Loss_G: 0.029387 Loss_D_real: -0.031196 Loss_D_fake 0.012319
[119/5000][435/535][11989] Loss_D: -0.039524 Loss_G: -0.012282 Loss_D_real: -0.001717 Loss_D_fake 0.037806
[119/5000][440/535][11990] Loss_D: -0.041983 Loss_G: 0.036708 Loss_D_real: -0.041582 Loss_D_fake 0.000401
[119/5000][445/535][11991] Loss_D: -0.043187 Loss_G: 0.004707 Loss_D_real: -0.012072 Loss_D_fake 0.031115
[119/5000][450/535][11992] Loss_D: -0.041878 Loss_G: 0.036390 Loss_D_real: -0.035330 Loss_D_fake 0.006548
[119/5000][455/535][11993] Loss_D: -0.044996 Loss_G: 0.009985 Loss_D_real: -0.022578 Loss_D_fake 0.022419
[119/5000][460/535][11994] Loss_D: -0.046204 Loss_G: 0.032941 Loss_D_real: -0.033109 Loss_D_fake 0.013095
[119/5000][465/535][11995] Loss_D: -0.044068 Loss_G: 0.059732 Loss_D_real: -0.049151 Loss_D_fake -0.005084
[119/5000][470/535][11996] Loss_D: -0.043969 Loss_G: 0.003718 Loss_D_real: -0.011110 Loss_D_fake 0.032859
[119/5000][475/535][11997] Loss_D: -0.044511 Loss_G: 0.045026 Loss_D_real: -0.046564 Loss_D_fake -0.002053
[119/5000][480/535][11998] Loss_D: -0.045048 Loss_G: 0.012280 Loss_D_real: -0.016502 Loss_D_fake 0.028545
[119/5000][485/535][11999] Loss_D: -0.045580 Loss_G: 0.033113 Loss_D_real: -0.032213 Loss_D_fake 0.013367
[119/5000][490/535][12000] Loss_D: -0.043178 Loss_G: 0.012651 Loss_D_real: -0.017731 Loss_D_fake 0.025447
[119/5000][535/535][12001] Loss_D: -0.048457 Loss_G: 0.042154 Loss_D_real: -0.036769 Loss_D_fake 0.011687
[120/5000][5/535][12002] Loss_D: -0.046589 Loss_G: 0.022090 Loss_D_real: -0.023998 Loss_D_fake 0.022591
[120/5000][10/535][12003] Loss_D: -0.043382 Loss_G: 0.011639 Loss_D_real: -0.018585 Loss_D_fake 0.024797
[120/5000][15/535][12004] Loss_D: -0.045784 Loss_G: 0.040454 Loss_D_real: -0.036810 Loss_D_fake 0.008974
[120/5000][20/535][12005] Loss_D: -0.045853 Loss_G: 0.032262 Loss_D_real: -0.037012 Loss_D_fake 0.008841
[120/5000][25/535][12006] Loss_D: -0.046759 Loss_G: 0.019366 Loss_D_real: -0.025690 Loss_D_fake 0.021069
[120/5000][30/535][12007] Loss_D: -0.045111 Loss_G: 0.041384 Loss_D_real: -0.037806 Loss_D_fake 0.007305
[120/5000][35/535][12008] Loss_D: -0.046104 Loss_G: 0.025253 Loss_D_real: -0.030080 Loss_D_fake 0.016024
[120/5000][40/535][12009] Loss_D: -0.046882 Loss_G: 0.028319 Loss_D_real: -0.028250 Loss_D_fake 0.018633
[120/5000][45/535][12010] Loss_D: -0.045082 Loss_G: 0.007003 Loss_D_real: -0.013212 Loss_D_fake 0.031870
[120/5000][50/535][12011] Loss_D: -0.044650 Loss_G: 0.009692 Loss_D_real: -0.015219 Loss_D_fake 0.029431
[120/5000][55/535][12012] Loss_D: -0.044470 Loss_G: 0.017245 Loss_D_real: -0.023492 Loss_D_fake 0.020978
[120/5000][60/535][12013] Loss_D: -0.043748 Loss_G: 0.045953 Loss_D_real: -0.034559 Loss_D_fake 0.009189
[120/5000][65/535][12014] Loss_D: -0.042569 Loss_G: -0.012550 Loss_D_real: -0.005361 Loss_D_fake 0.037208
[120/5000][70/535][12015] Loss_D: -0.040464 Loss_G: 0.036686 Loss_D_real: -0.041975 Loss_D_fake -0.001511
[120/5000][75/535][12016] Loss_D: -0.042570 Loss_G: -0.000275 Loss_D_real: -0.016194 Loss_D_fake 0.026376
[120/5000][80/535][12017] Loss_D: -0.043564 Loss_G: 0.034786 Loss_D_real: -0.042317 Loss_D_fake 0.001247
[120/5000][85/535][12018] Loss_D: -0.042481 Loss_G: 0.006988 Loss_D_real: -0.014240 Loss_D_fake 0.028241
[120/5000][90/535][12019] Loss_D: -0.044862 Loss_G: 0.033748 Loss_D_real: -0.033537 Loss_D_fake 0.011325
[120/5000][95/535][12020] Loss_D: -0.047123 Loss_G: 0.021606 Loss_D_real: -0.028106 Loss_D_fake 0.019016
[120/5000][100/535][12021] Loss_D: -0.045339 Loss_G: 0.045402 Loss_D_real: -0.040754 Loss_D_fake 0.004585
[120/5000][105/535][12022] Loss_D: -0.043536 Loss_G: 0.008788 Loss_D_real: -0.015107 Loss_D_fake 0.028430
[120/5000][110/535][12023] Loss_D: -0.042980 Loss_G: 0.030994 Loss_D_real: -0.029002 Loss_D_fake 0.013979
[120/5000][115/535][12024] Loss_D: -0.044390 Loss_G: 0.049093 Loss_D_real: -0.055361 Loss_D_fake -0.010971
[120/5000][120/535][12025] Loss_D: -0.044194 Loss_G: 0.006710 Loss_D_real: -0.009573 Loss_D_fake 0.034621
[120/5000][125/535][12026] Loss_D: -0.043329 Loss_G: 0.008080 Loss_D_real: -0.015786 Loss_D_fake 0.027543
[120/5000][130/535][12027] Loss_D: -0.042032 Loss_G: 0.051748 Loss_D_real: -0.045166 Loss_D_fake -0.003134
[120/5000][135/535][12028] Loss_D: -0.043799 Loss_G: -0.004642 Loss_D_real: -0.005028 Loss_D_fake 0.038771
[120/5000][140/535][12029] Loss_D: -0.042640 Loss_G: 0.029090 Loss_D_real: -0.034095 Loss_D_fake 0.008545
[120/5000][145/535][12030] Loss_D: -0.042457 Loss_G: 0.009104 Loss_D_real: -0.023000 Loss_D_fake 0.019457
[120/5000][150/535][12031] Loss_D: -0.040214 Loss_G: 0.053611 Loss_D_real: -0.050252 Loss_D_fake -0.010038
[120/5000][155/535][12032] Loss_D: -0.043468 Loss_G: -0.001159 Loss_D_real: -0.009567 Loss_D_fake 0.033900
[120/5000][160/535][12033] Loss_D: -0.042766 Loss_G: 0.022700 Loss_D_real: -0.032462 Loss_D_fake 0.010304
[120/5000][165/535][12034] Loss_D: -0.043586 Loss_G: 0.030017 Loss_D_real: -0.030556 Loss_D_fake 0.013030
[120/5000][170/535][12035] Loss_D: -0.044401 Loss_G: 0.030957 Loss_D_real: -0.028341 Loss_D_fake 0.016060
[120/5000][175/535][12036] Loss_D: -0.049073 Loss_G: 0.016609 Loss_D_real: -0.018669 Loss_D_fake 0.030404
[120/5000][180/535][12037] Loss_D: -0.043184 Loss_G: 0.001211 Loss_D_real: -0.013377 Loss_D_fake 0.029807
[120/5000][185/535][12038] Loss_D: -0.043213 Loss_G: 0.044143 Loss_D_real: -0.038264 Loss_D_fake 0.004949
[120/5000][190/535][12039] Loss_D: -0.042711 Loss_G: -0.003862 Loss_D_real: -0.010684 Loss_D_fake 0.032026
[120/5000][195/535][12040] Loss_D: -0.042046 Loss_G: 0.038796 Loss_D_real: -0.038471 Loss_D_fake 0.003575
[120/5000][200/535][12041] Loss_D: -0.045788 Loss_G: 0.007141 Loss_D_real: -0.021909 Loss_D_fake 0.023880
[120/5000][205/535][12042] Loss_D: -0.042915 Loss_G: 0.042047 Loss_D_real: -0.039083 Loss_D_fake 0.003832
[120/5000][210/535][12043] Loss_D: -0.046154 Loss_G: 0.028031 Loss_D_real: -0.035333 Loss_D_fake 0.010821
[120/5000][215/535][12044] Loss_D: -0.046199 Loss_G: 0.036390 Loss_D_real: -0.032125 Loss_D_fake 0.014074
[120/5000][220/535][12045] Loss_D: -0.046803 Loss_G: 0.011863 Loss_D_real: -0.017171 Loss_D_fake 0.029631
[120/5000][225/535][12046] Loss_D: -0.045328 Loss_G: 0.033583 Loss_D_real: -0.039366 Loss_D_fake 0.005962
[120/5000][230/535][12047] Loss_D: -0.046922 Loss_G: 0.021344 Loss_D_real: -0.026660 Loss_D_fake 0.020262
[120/5000][235/535][12048] Loss_D: -0.044384 Loss_G: 0.009646 Loss_D_real: -0.019763 Loss_D_fake 0.024621
[120/5000][240/535][12049] Loss_D: -0.042088 Loss_G: 0.044586 Loss_D_real: -0.045638 Loss_D_fake -0.003549
[120/5000][245/535][12050] Loss_D: -0.043664 Loss_G: 0.011943 Loss_D_real: -0.018331 Loss_D_fake 0.025332
[120/5000][250/535][12051] Loss_D: -0.046595 Loss_G: 0.030634 Loss_D_real: -0.034785 Loss_D_fake 0.011810
[120/5000][255/535][12052] Loss_D: -0.046222 Loss_G: 0.036466 Loss_D_real: -0.031191 Loss_D_fake 0.015031
[120/5000][260/535][12053] Loss_D: -0.047330 Loss_G: 0.039673 Loss_D_real: -0.034451 Loss_D_fake 0.012880
[120/5000][265/535][12054] Loss_D: -0.043284 Loss_G: -0.000936 Loss_D_real: -0.005630 Loss_D_fake 0.037653
[120/5000][270/535][12055] Loss_D: -0.041313 Loss_G: 0.032479 Loss_D_real: -0.038726 Loss_D_fake 0.002587
[120/5000][275/535][12056] Loss_D: -0.041923 Loss_G: -0.006480 Loss_D_real: -0.009620 Loss_D_fake 0.032302
[120/5000][280/535][12057] Loss_D: -0.041652 Loss_G: 0.034871 Loss_D_real: -0.036338 Loss_D_fake 0.005314
[120/5000][285/535][12058] Loss_D: -0.040782 Loss_G: 0.008592 Loss_D_real: -0.014316 Loss_D_fake 0.026466
[120/5000][290/535][12059] Loss_D: -0.042518 Loss_G: 0.024194 Loss_D_real: -0.025967 Loss_D_fake 0.016551
[120/5000][295/535][12060] Loss_D: -0.044167 Loss_G: 0.030646 Loss_D_real: -0.030481 Loss_D_fake 0.013686
[120/5000][300/535][12061] Loss_D: -0.044839 Loss_G: 0.026372 Loss_D_real: -0.023833 Loss_D_fake 0.021006
[120/5000][305/535][12062] Loss_D: -0.043673 Loss_G: 0.043585 Loss_D_real: -0.039844 Loss_D_fake 0.003829
[120/5000][310/535][12063] Loss_D: -0.045699 Loss_G: 0.025640 Loss_D_real: -0.026386 Loss_D_fake 0.019313
[120/5000][315/535][12064] Loss_D: -0.045596 Loss_G: 0.042036 Loss_D_real: -0.037824 Loss_D_fake 0.007772
[120/5000][320/535][12065] Loss_D: -0.043988 Loss_G: 0.042728 Loss_D_real: -0.045238 Loss_D_fake -0.001250
[120/5000][325/535][12066] Loss_D: -0.045554 Loss_G: 0.016422 Loss_D_real: -0.015658 Loss_D_fake 0.029896
[120/5000][330/535][12067] Loss_D: -0.043241 Loss_G: 0.038081 Loss_D_real: -0.039707 Loss_D_fake 0.003534
[120/5000][335/535][12068] Loss_D: -0.043927 Loss_G: 0.016405 Loss_D_real: -0.024894 Loss_D_fake 0.019033
[120/5000][340/535][12069] Loss_D: -0.044952 Loss_G: 0.027179 Loss_D_real: -0.023257 Loss_D_fake 0.021694
[120/5000][345/535][12070] Loss_D: -0.045682 Loss_G: 0.029668 Loss_D_real: -0.033333 Loss_D_fake 0.012349
[120/5000][350/535][12071] Loss_D: -0.045573 Loss_G: 0.041782 Loss_D_real: -0.047534 Loss_D_fake -0.001961
[120/5000][355/535][12072] Loss_D: -0.046405 Loss_G: -0.011296 Loss_D_real: -0.004597 Loss_D_fake 0.041808
[120/5000][360/535][12073] Loss_D: -0.041531 Loss_G: 0.042806 Loss_D_real: -0.039816 Loss_D_fake 0.001715
[120/5000][365/535][12074] Loss_D: -0.043409 Loss_G: 0.001895 Loss_D_real: -0.012771 Loss_D_fake 0.030638
[120/5000][370/535][12075] Loss_D: -0.043191 Loss_G: 0.046407 Loss_D_real: -0.043130 Loss_D_fake 0.000060
[120/5000][375/535][12076] Loss_D: -0.048155 Loss_G: 0.030921 Loss_D_real: -0.030912 Loss_D_fake 0.017243
[120/5000][380/535][12077] Loss_D: -0.049388 Loss_G: 0.027672 Loss_D_real: -0.026196 Loss_D_fake 0.023192
[120/5000][385/535][12078] Loss_D: -0.045652 Loss_G: 0.050882 Loss_D_real: -0.047008 Loss_D_fake -0.001356
[120/5000][390/535][12079] Loss_D: -0.044527 Loss_G: 0.006922 Loss_D_real: -0.007430 Loss_D_fake 0.037097
[120/5000][395/535][12080] Loss_D: -0.045368 Loss_G: 0.045421 Loss_D_real: -0.043370 Loss_D_fake 0.001998
[120/5000][400/535][12081] Loss_D: -0.045147 Loss_G: 0.037565 Loss_D_real: -0.036424 Loss_D_fake 0.008723
[120/5000][405/535][12082] Loss_D: -0.045747 Loss_G: 0.036216 Loss_D_real: -0.029155 Loss_D_fake 0.016592
[120/5000][410/535][12083] Loss_D: -0.045269 Loss_G: -0.003014 Loss_D_real: -0.008263 Loss_D_fake 0.037006
[120/5000][415/535][12084] Loss_D: -0.042619 Loss_G: 0.045051 Loss_D_real: -0.049072 Loss_D_fake -0.006452
[120/5000][420/535][12085] Loss_D: -0.042396 Loss_G: 0.000906 Loss_D_real: -0.005270 Loss_D_fake 0.037127
[120/5000][425/535][12086] Loss_D: -0.047673 Loss_G: 0.037917 Loss_D_real: -0.037066 Loss_D_fake 0.010607
[120/5000][430/535][12087] Loss_D: -0.046615 Loss_G: 0.011918 Loss_D_real: -0.021692 Loss_D_fake 0.024923
[120/5000][435/535][12088] Loss_D: -0.044503 Loss_G: 0.034681 Loss_D_real: -0.033823 Loss_D_fake 0.010680
[120/5000][440/535][12089] Loss_D: -0.045131 Loss_G: -0.000086 Loss_D_real: -0.006024 Loss_D_fake 0.039107
[120/5000][445/535][12090] Loss_D: -0.042523 Loss_G: 0.040357 Loss_D_real: -0.032888 Loss_D_fake 0.009634
[120/5000][450/535][12091] Loss_D: -0.045354 Loss_G: 0.017519 Loss_D_real: -0.024405 Loss_D_fake 0.020949
[120/5000][455/535][12092] Loss_D: -0.044027 Loss_G: 0.048102 Loss_D_real: -0.047708 Loss_D_fake -0.003681
[120/5000][460/535][12093] Loss_D: -0.043776 Loss_G: 0.005019 Loss_D_real: -0.010149 Loss_D_fake 0.033628
[120/5000][465/535][12094] Loss_D: -0.043162 Loss_G: 0.038428 Loss_D_real: -0.038376 Loss_D_fake 0.004786
[120/5000][470/535][12095] Loss_D: -0.044344 Loss_G: 0.025341 Loss_D_real: -0.024771 Loss_D_fake 0.019573
[120/5000][475/535][12096] Loss_D: -0.044670 Loss_G: 0.027823 Loss_D_real: -0.021475 Loss_D_fake 0.023195
[120/5000][480/535][12097] Loss_D: -0.045034 Loss_G: 0.021945 Loss_D_real: -0.026093 Loss_D_fake 0.018941
[120/5000][485/535][12098] Loss_D: -0.044454 Loss_G: 0.024898 Loss_D_real: -0.027487 Loss_D_fake 0.016967
[120/5000][490/535][12099] Loss_D: -0.043958 Loss_G: 0.046976 Loss_D_real: -0.041477 Loss_D_fake 0.002481
[120/5000][495/535][12100] Loss_D: -0.046025 Loss_G: 0.017052 Loss_D_real: -0.020570 Loss_D_fake 0.025455
[120/5000][500/535][12101] Loss_D: -0.044769 Loss_G: 0.035595 Loss_D_real: -0.032827 Loss_D_fake 0.011942
[120/5000][505/535][12102] Loss_D: -0.044781 Loss_G: 0.008249 Loss_D_real: -0.012800 Loss_D_fake 0.031981
[120/5000][510/535][12103] Loss_D: -0.045140 Loss_G: 0.037622 Loss_D_real: -0.038552 Loss_D_fake 0.006588
[120/5000][515/535][12104] Loss_D: -0.045277 Loss_G: 0.035028 Loss_D_real: -0.038051 Loss_D_fake 0.007226
[120/5000][520/535][12105] Loss_D: -0.046558 Loss_G: 0.034794 Loss_D_real: -0.042646 Loss_D_fake 0.003912
[120/5000][525/535][12106] Loss_D: -0.045973 Loss_G: 0.039871 Loss_D_real: -0.035999 Loss_D_fake 0.009974
[120/5000][530/535][12107] Loss_D: -0.042901 Loss_G: 0.004448 Loss_D_real: -0.009446 Loss_D_fake 0.033455
[120/5000][535/535][12108] Loss_D: -0.042090 Loss_G: 0.024955 Loss_D_real: -0.022393 Loss_D_fake 0.019697
[121/5000][5/535][12109] Loss_D: -0.042189 Loss_G: 0.010702 Loss_D_real: -0.015627 Loss_D_fake 0.026562
[121/5000][10/535][12110] Loss_D: -0.046115 Loss_G: 0.034463 Loss_D_real: -0.037183 Loss_D_fake 0.008932
[121/5000][15/535][12111] Loss_D: -0.045881 Loss_G: 0.011262 Loss_D_real: -0.016011 Loss_D_fake 0.029870
[121/5000][20/535][12112] Loss_D: -0.042281 Loss_G: 0.054749 Loss_D_real: -0.053755 Loss_D_fake -0.011474
[121/5000][25/535][12113] Loss_D: -0.042056 Loss_G: 0.000578 Loss_D_real: -0.003935 Loss_D_fake 0.038122
[121/5000][30/535][12114] Loss_D: -0.042269 Loss_G: 0.037625 Loss_D_real: -0.035393 Loss_D_fake 0.006875
[121/5000][35/535][12115] Loss_D: -0.044023 Loss_G: 0.013163 Loss_D_real: -0.018165 Loss_D_fake 0.025858
[121/5000][40/535][12116] Loss_D: -0.043949 Loss_G: 0.025287 Loss_D_real: -0.027705 Loss_D_fake 0.016243
[121/5000][45/535][12117] Loss_D: -0.043509 Loss_G: 0.003700 Loss_D_real: -0.013848 Loss_D_fake 0.029661
[121/5000][50/535][12118] Loss_D: -0.043926 Loss_G: 0.039214 Loss_D_real: -0.041467 Loss_D_fake 0.002460
[121/5000][55/535][12119] Loss_D: -0.044591 Loss_G: 0.020190 Loss_D_real: -0.025669 Loss_D_fake 0.018922
[121/5000][60/535][12120] Loss_D: -0.045405 Loss_G: 0.029231 Loss_D_real: -0.026522 Loss_D_fake 0.018883
[121/5000][65/535][12121] Loss_D: -0.043760 Loss_G: 0.017097 Loss_D_real: -0.019288 Loss_D_fake 0.024472
[121/5000][70/535][12122] Loss_D: -0.044464 Loss_G: 0.042391 Loss_D_real: -0.045922 Loss_D_fake -0.001458
[121/5000][75/535][12123] Loss_D: -0.045717 Loss_G: 0.013718 Loss_D_real: -0.021489 Loss_D_fake 0.024228
[121/5000][80/535][12124] Loss_D: -0.044134 Loss_G: 0.006443 Loss_D_real: -0.016077 Loss_D_fake 0.028057
[121/5000][85/535][12125] Loss_D: -0.043475 Loss_G: 0.056577 Loss_D_real: -0.049896 Loss_D_fake -0.006421
[121/5000][90/535][12126] Loss_D: -0.043956 Loss_G: -0.000100 Loss_D_real: -0.010230 Loss_D_fake 0.033726
[121/5000][95/535][12127] Loss_D: -0.042459 Loss_G: 0.038844 Loss_D_real: -0.037241 Loss_D_fake 0.005218
[121/5000][100/535][12128] Loss_D: -0.044178 Loss_G: 0.006878 Loss_D_real: -0.015675 Loss_D_fake 0.028503
[121/5000][105/535][12129] Loss_D: -0.044368 Loss_G: 0.032454 Loss_D_real: -0.036392 Loss_D_fake 0.007976
[121/5000][110/535][12130] Loss_D: -0.043914 Loss_G: 0.019163 Loss_D_real: -0.023636 Loss_D_fake 0.020278
[121/5000][115/535][12131] Loss_D: -0.042701 Loss_G: 0.048667 Loss_D_real: -0.042591 Loss_D_fake 0.000110
[121/5000][120/535][12132] Loss_D: -0.043587 Loss_G: 0.012834 Loss_D_real: -0.016234 Loss_D_fake 0.027352
[121/5000][125/535][12133] Loss_D: -0.042631 Loss_G: 0.022693 Loss_D_real: -0.024938 Loss_D_fake 0.017694
[121/5000][130/535][12134] Loss_D: -0.043910 Loss_G: 0.007199 Loss_D_real: -0.014509 Loss_D_fake 0.029401
[121/5000][135/535][12135] Loss_D: -0.044356 Loss_G: 0.029553 Loss_D_real: -0.029962 Loss_D_fake 0.014393
[121/5000][140/535][12136] Loss_D: -0.043591 Loss_G: 0.000042 Loss_D_real: -0.009535 Loss_D_fake 0.034057
[121/5000][145/535][12137] Loss_D: -0.043651 Loss_G: 0.020755 Loss_D_real: -0.027204 Loss_D_fake 0.016447
[121/5000][150/535][12138] Loss_D: -0.042788 Loss_G: 0.008457 Loss_D_real: -0.008296 Loss_D_fake 0.034492
[121/5000][155/535][12139] Loss_D: -0.045047 Loss_G: 0.011888 Loss_D_real: -0.020461 Loss_D_fake 0.024586
[121/5000][160/535][12140] Loss_D: -0.045941 Loss_G: 0.007616 Loss_D_real: -0.014488 Loss_D_fake 0.031453
[121/5000][165/535][12141] Loss_D: -0.043717 Loss_G: 0.040984 Loss_D_real: -0.042764 Loss_D_fake 0.000953
[121/5000][170/535][12142] Loss_D: -0.046509 Loss_G: 0.038430 Loss_D_real: -0.037818 Loss_D_fake 0.008691
[121/5000][175/535][12143] Loss_D: -0.047178 Loss_G: 0.029117 Loss_D_real: -0.025073 Loss_D_fake 0.022105
[121/5000][180/535][12144] Loss_D: -0.046122 Loss_G: 0.021191 Loss_D_real: -0.023285 Loss_D_fake 0.022837
[121/5000][185/535][12145] Loss_D: -0.046945 Loss_G: 0.047187 Loss_D_real: -0.033614 Loss_D_fake 0.013331
[121/5000][190/535][12146] Loss_D: -0.041585 Loss_G: -0.017825 Loss_D_real: 0.001272 Loss_D_fake 0.042857
[121/5000][195/535][12147] Loss_D: -0.041784 Loss_G: 0.043725 Loss_D_real: -0.035239 Loss_D_fake 0.006545
[121/5000][200/535][12148] Loss_D: -0.041729 Loss_G: 0.036534 Loss_D_real: -0.030701 Loss_D_fake 0.011028
[121/5000][205/535][12149] Loss_D: -0.045588 Loss_G: 0.030471 Loss_D_real: -0.023990 Loss_D_fake 0.021598
[121/5000][210/535][12150] Loss_D: -0.045124 Loss_G: 0.029570 Loss_D_real: -0.027516 Loss_D_fake 0.017608
[121/5000][215/535][12151] Loss_D: -0.044845 Loss_G: 0.006931 Loss_D_real: -0.016296 Loss_D_fake 0.028549
[121/5000][220/535][12152] Loss_D: -0.044523 Loss_G: 0.051323 Loss_D_real: -0.050418 Loss_D_fake -0.005895
[121/5000][225/535][12153] Loss_D: -0.044598 Loss_G: 0.004900 Loss_D_real: -0.007607 Loss_D_fake 0.036992
[121/5000][230/535][12154] Loss_D: -0.044875 Loss_G: 0.028517 Loss_D_real: -0.029197 Loss_D_fake 0.015678
[121/5000][235/535][12155] Loss_D: -0.042876 Loss_G: 0.045248 Loss_D_real: -0.034648 Loss_D_fake 0.008229
[121/5000][240/535][12156] Loss_D: -0.043743 Loss_G: 0.005965 Loss_D_real: -0.013827 Loss_D_fake 0.029916
[121/5000][245/535][12157] Loss_D: -0.045488 Loss_G: 0.023840 Loss_D_real: -0.027956 Loss_D_fake 0.017532
[121/5000][250/535][12158] Loss_D: -0.042346 Loss_G: 0.052862 Loss_D_real: -0.052412 Loss_D_fake -0.010066
[121/5000][255/535][12159] Loss_D: -0.043757 Loss_G: -0.002634 Loss_D_real: -0.007221 Loss_D_fake 0.036536
[121/5000][260/535][12160] Loss_D: -0.043552 Loss_G: 0.036415 Loss_D_real: -0.037068 Loss_D_fake 0.006484
[121/5000][265/535][12161] Loss_D: -0.045377 Loss_G: 0.012078 Loss_D_real: -0.019999 Loss_D_fake 0.025378
[121/5000][270/535][12162] Loss_D: -0.044007 Loss_G: 0.013083 Loss_D_real: -0.018919 Loss_D_fake 0.025089
[121/5000][275/535][12163] Loss_D: -0.045394 Loss_G: 0.028312 Loss_D_real: -0.026295 Loss_D_fake 0.019099
[121/5000][280/535][12164] Loss_D: -0.042346 Loss_G: 0.056069 Loss_D_real: -0.052281 Loss_D_fake -0.009935
[121/5000][285/535][12165] Loss_D: -0.044759 Loss_G: 0.001865 Loss_D_real: -0.007330 Loss_D_fake 0.037429
[121/5000][290/535][12166] Loss_D: -0.042518 Loss_G: 0.031311 Loss_D_real: -0.029869 Loss_D_fake 0.012649
[121/5000][295/535][12167] Loss_D: -0.044658 Loss_G: 0.052228 Loss_D_real: -0.045934 Loss_D_fake -0.001276
[121/5000][300/535][12168] Loss_D: -0.042007 Loss_G: 0.012241 Loss_D_real: -0.017989 Loss_D_fake 0.024018
[121/5000][305/535][12169] Loss_D: -0.042611 Loss_G: 0.035211 Loss_D_real: -0.035831 Loss_D_fake 0.006779
[121/5000][310/535][12170] Loss_D: -0.045687 Loss_G: 0.008079 Loss_D_real: -0.018776 Loss_D_fake 0.026911
[121/5000][315/535][12171] Loss_D: -0.040300 Loss_G: 0.046835 Loss_D_real: -0.043165 Loss_D_fake -0.002865
[121/5000][320/535][12172] Loss_D: -0.043606 Loss_G: 0.014705 Loss_D_real: -0.013597 Loss_D_fake 0.030009
[121/5000][325/535][12173] Loss_D: -0.045140 Loss_G: 0.025704 Loss_D_real: -0.033255 Loss_D_fake 0.011885
[121/5000][330/535][12174] Loss_D: -0.045456 Loss_G: 0.005089 Loss_D_real: -0.005232 Loss_D_fake 0.040224
[121/5000][335/535][12175] Loss_D: -0.043831 Loss_G: 0.035058 Loss_D_real: -0.040272 Loss_D_fake 0.003560
[121/5000][340/535][12176] Loss_D: -0.045311 Loss_G: 0.019216 Loss_D_real: -0.023745 Loss_D_fake 0.021566
[121/5000][345/535][12177] Loss_D: -0.042942 Loss_G: 0.038430 Loss_D_real: -0.037218 Loss_D_fake 0.005724
[121/5000][350/535][12178] Loss_D: -0.046445 Loss_G: 0.021893 Loss_D_real: -0.023035 Loss_D_fake 0.023410
[121/5000][355/535][12179] Loss_D: -0.043376 Loss_G: 0.053454 Loss_D_real: -0.047305 Loss_D_fake -0.003929
[121/5000][360/535][12180] Loss_D: -0.041824 Loss_G: -0.004602 Loss_D_real: 0.001652 Loss_D_fake 0.043476
[121/5000][365/535][12181] Loss_D: -0.044206 Loss_G: 0.019341 Loss_D_real: -0.028902 Loss_D_fake 0.015304
[121/5000][370/535][12182] Loss_D: -0.044282 Loss_G: 0.031731 Loss_D_real: -0.030429 Loss_D_fake 0.013852
[121/5000][375/535][12183] Loss_D: -0.045056 Loss_G: -0.004046 Loss_D_real: -0.014731 Loss_D_fake 0.030325
[121/5000][380/535][12184] Loss_D: -0.043465 Loss_G: 0.038157 Loss_D_real: -0.036507 Loss_D_fake 0.006958
[121/5000][385/535][12185] Loss_D: -0.041549 Loss_G: 0.001081 Loss_D_real: -0.009306 Loss_D_fake 0.032243
[121/5000][390/535][12186] Loss_D: -0.042860 Loss_G: 0.042186 Loss_D_real: -0.042514 Loss_D_fake 0.000346
[121/5000][395/535][12187] Loss_D: -0.042531 Loss_G: -0.000180 Loss_D_real: -0.001648 Loss_D_fake 0.040882
[121/5000][400/535][12188] Loss_D: -0.044980 Loss_G: 0.034122 Loss_D_real: -0.029465 Loss_D_fake 0.015514
[121/5000][405/535][12189] Loss_D: -0.044121 Loss_G: -0.004935 Loss_D_real: -0.010516 Loss_D_fake 0.033605
[121/5000][410/535][12190] Loss_D: -0.043481 Loss_G: 0.023608 Loss_D_real: -0.031548 Loss_D_fake 0.011933
[121/5000][415/535][12191] Loss_D: -0.044414 Loss_G: 0.022756 Loss_D_real: -0.030392 Loss_D_fake 0.014021
[121/5000][420/535][12192] Loss_D: -0.046059 Loss_G: 0.028023 Loss_D_real: -0.029356 Loss_D_fake 0.016703
[121/5000][425/535][12193] Loss_D: -0.045353 Loss_G: 0.050970 Loss_D_real: -0.043892 Loss_D_fake 0.001461
[121/5000][430/535][12194] Loss_D: -0.045382 Loss_G: 0.005092 Loss_D_real: -0.018359 Loss_D_fake 0.027023
[121/5000][435/535][12195] Loss_D: -0.043404 Loss_G: 0.038173 Loss_D_real: -0.038457 Loss_D_fake 0.004947
[121/5000][440/535][12196] Loss_D: -0.042802 Loss_G: 0.004917 Loss_D_real: -0.006595 Loss_D_fake 0.036207
[121/5000][445/535][12197] Loss_D: -0.044269 Loss_G: 0.009171 Loss_D_real: -0.021826 Loss_D_fake 0.022443
[121/5000][450/535][12198] Loss_D: -0.044047 Loss_G: 0.009599 Loss_D_real: -0.019653 Loss_D_fake 0.024394
[121/5000][455/535][12199] Loss_D: -0.044900 Loss_G: 0.041751 Loss_D_real: -0.042382 Loss_D_fake 0.002518
[121/5000][460/535][12200] Loss_D: -0.043411 Loss_G: 0.005960 Loss_D_real: -0.008421 Loss_D_fake 0.034990
[121/5000][465/535][12201] Loss_D: -0.044835 Loss_G: 0.023363 Loss_D_real: -0.031858 Loss_D_fake 0.012977
[121/5000][470/535][12202] Loss_D: -0.045031 Loss_G: 0.034880 Loss_D_real: -0.027267 Loss_D_fake 0.017764
[121/5000][475/535][12203] Loss_D: -0.047008 Loss_G: 0.039168 Loss_D_real: -0.039637 Loss_D_fake 0.007371
[121/5000][480/535][12204] Loss_D: -0.045497 Loss_G: 0.019398 Loss_D_real: -0.015694 Loss_D_fake 0.029803
[121/5000][485/535][12205] Loss_D: -0.044263 Loss_G: 0.007386 Loss_D_real: -0.018901 Loss_D_fake 0.025362
[121/5000][490/535][12206] Loss_D: -0.043143 Loss_G: 0.050304 Loss_D_real: -0.045256 Loss_D_fake -0.002113
[121/5000][495/535][12207] Loss_D: -0.044920 Loss_G: 0.005403 Loss_D_real: -0.014372 Loss_D_fake 0.030548
[121/5000][500/535][12208] Loss_D: -0.043546 Loss_G: 0.026286 Loss_D_real: -0.030689 Loss_D_fake 0.012857
[121/5000][505/535][12209] Loss_D: -0.043551 Loss_G: 0.021458 Loss_D_real: -0.024226 Loss_D_fake 0.019326
[121/5000][510/535][12210] Loss_D: -0.044518 Loss_G: 0.040530 Loss_D_real: -0.038668 Loss_D_fake 0.005849
[121/5000][515/535][12211] Loss_D: -0.045892 Loss_G: 0.002944 Loss_D_real: -0.014571 Loss_D_fake 0.031320
[121/5000][520/535][12212] Loss_D: -0.040442 Loss_G: 0.043980 Loss_D_real: -0.042353 Loss_D_fake -0.001911
[121/5000][525/535][12213] Loss_D: -0.042876 Loss_G: 0.005503 Loss_D_real: -0.017133 Loss_D_fake 0.025743
[121/5000][530/535][12214] Loss_D: -0.043521 Loss_G: 0.034201 Loss_D_real: -0.033593 Loss_D_fake 0.009928
[121/5000][535/535][12215] Loss_D: -0.044674 Loss_G: 0.010156 Loss_D_real: -0.018366 Loss_D_fake 0.026308
[122/5000][5/535][12216] Loss_D: -0.044977 Loss_G: 0.043921 Loss_D_real: -0.039953 Loss_D_fake 0.005025
[122/5000][10/535][12217] Loss_D: -0.042974 Loss_G: 0.028001 Loss_D_real: -0.027798 Loss_D_fake 0.015176
[122/5000][15/535][12218] Loss_D: -0.043294 Loss_G: 0.008756 Loss_D_real: -0.014964 Loss_D_fake 0.028330
[122/5000][20/535][12219] Loss_D: -0.045435 Loss_G: 0.035466 Loss_D_real: -0.039753 Loss_D_fake 0.005682
[122/5000][25/535][12220] Loss_D: -0.044951 Loss_G: 0.041683 Loss_D_real: -0.040286 Loss_D_fake 0.004666
[122/5000][30/535][12221] Loss_D: -0.043252 Loss_G: 0.020793 Loss_D_real: -0.024813 Loss_D_fake 0.018439
[122/5000][35/535][12222] Loss_D: -0.043931 Loss_G: 0.041943 Loss_D_real: -0.038616 Loss_D_fake 0.005314
[122/5000][40/535][12223] Loss_D: -0.045675 Loss_G: 0.022313 Loss_D_real: -0.028984 Loss_D_fake 0.016690
[122/5000][45/535][12224] Loss_D: -0.045003 Loss_G: 0.034438 Loss_D_real: -0.031104 Loss_D_fake 0.013899
[122/5000][50/535][12225] Loss_D: -0.044484 Loss_G: 0.003305 Loss_D_real: -0.012577 Loss_D_fake 0.031907
[122/5000][55/535][12226] Loss_D: -0.041997 Loss_G: 0.039585 Loss_D_real: -0.045413 Loss_D_fake -0.003416
[122/5000][60/535][12227] Loss_D: -0.045026 Loss_G: 0.028657 Loss_D_real: -0.028126 Loss_D_fake 0.016900
[122/5000][65/535][12228] Loss_D: -0.046082 Loss_G: 0.016488 Loss_D_real: -0.023484 Loss_D_fake 0.022599
[122/5000][70/535][12229] Loss_D: -0.044306 Loss_G: 0.035963 Loss_D_real: -0.033110 Loss_D_fake 0.011196
[122/5000][75/535][12230] Loss_D: -0.042976 Loss_G: -0.005506 Loss_D_real: -0.009000 Loss_D_fake 0.033977
[122/5000][80/535][12231] Loss_D: -0.043032 Loss_G: 0.042794 Loss_D_real: -0.044678 Loss_D_fake -0.001646
[122/5000][85/535][12232] Loss_D: -0.045342 Loss_G: 0.011536 Loss_D_real: -0.021772 Loss_D_fake 0.023570
[122/5000][90/535][12233] Loss_D: -0.044835 Loss_G: 0.021923 Loss_D_real: -0.020747 Loss_D_fake 0.024088
[122/5000][95/535][12234] Loss_D: -0.043533 Loss_G: 0.036637 Loss_D_real: -0.034005 Loss_D_fake 0.009528
[122/5000][100/535][12235] Loss_D: -0.046804 Loss_G: 0.014684 Loss_D_real: -0.022216 Loss_D_fake 0.024587
[122/5000][105/535][12236] Loss_D: -0.042661 Loss_G: -0.006840 Loss_D_real: 0.002347 Loss_D_fake 0.045008
[122/5000][110/535][12237] Loss_D: -0.043956 Loss_G: 0.026285 Loss_D_real: -0.028640 Loss_D_fake 0.015316
[122/5000][115/535][12238] Loss_D: -0.044891 Loss_G: -0.004429 Loss_D_real: -0.006937 Loss_D_fake 0.037955
[122/5000][120/535][12239] Loss_D: -0.042525 Loss_G: 0.037246 Loss_D_real: -0.041968 Loss_D_fake 0.000557
[122/5000][125/535][12240] Loss_D: -0.041124 Loss_G: -0.005375 Loss_D_real: -0.000795 Loss_D_fake 0.040329
[122/5000][130/535][12241] Loss_D: -0.043827 Loss_G: 0.046334 Loss_D_real: -0.039200 Loss_D_fake 0.004627
[122/5000][135/535][12242] Loss_D: -0.045878 Loss_G: 0.038265 Loss_D_real: -0.031606 Loss_D_fake 0.014272
[122/5000][140/535][12243] Loss_D: -0.043047 Loss_G: 0.006436 Loss_D_real: -0.015477 Loss_D_fake 0.027570
[122/5000][145/535][12244] Loss_D: -0.045589 Loss_G: 0.042337 Loss_D_real: -0.035128 Loss_D_fake 0.010461
[122/5000][150/535][12245] Loss_D: -0.043027 Loss_G: 0.040540 Loss_D_real: -0.036504 Loss_D_fake 0.006523
[122/5000][155/535][12246] Loss_D: -0.045446 Loss_G: 0.037587 Loss_D_real: -0.034466 Loss_D_fake 0.010979
[122/5000][160/535][12247] Loss_D: -0.041814 Loss_G: -0.009705 Loss_D_real: 0.001828 Loss_D_fake 0.043643
[122/5000][165/535][12248] Loss_D: -0.041916 Loss_G: 0.044766 Loss_D_real: -0.041936 Loss_D_fake -0.000020
[122/5000][170/535][12249] Loss_D: -0.044947 Loss_G: 0.010580 Loss_D_real: -0.015793 Loss_D_fake 0.029154
[122/5000][175/535][12250] Loss_D: -0.046107 Loss_G: 0.047811 Loss_D_real: -0.034206 Loss_D_fake 0.011901
[122/5000][180/535][12251] Loss_D: -0.045363 Loss_G: 0.015653 Loss_D_real: -0.020702 Loss_D_fake 0.024661
[122/5000][185/535][12252] Loss_D: -0.045111 Loss_G: 0.048115 Loss_D_real: -0.041084 Loss_D_fake 0.004027
[122/5000][190/535][12253] Loss_D: -0.044106 Loss_G: 0.002911 Loss_D_real: -0.003178 Loss_D_fake 0.040928
[122/5000][195/535][12254] Loss_D: -0.043334 Loss_G: 0.026798 Loss_D_real: -0.028621 Loss_D_fake 0.014713
[122/5000][200/535][12255] Loss_D: -0.046180 Loss_G: 0.021690 Loss_D_real: -0.026353 Loss_D_fake 0.019827
[122/5000][205/535][12256] Loss_D: -0.044770 Loss_G: 0.012175 Loss_D_real: -0.013901 Loss_D_fake 0.030869
[122/5000][210/535][12257] Loss_D: -0.043573 Loss_G: 0.041982 Loss_D_real: -0.040595 Loss_D_fake 0.002979
[122/5000][215/535][12258] Loss_D: -0.039948 Loss_G: 0.005264 Loss_D_real: -0.006809 Loss_D_fake 0.033139
[122/5000][220/535][12259] Loss_D: -0.043625 Loss_G: 0.020920 Loss_D_real: -0.021542 Loss_D_fake 0.022083
[122/5000][225/535][12260] Loss_D: -0.044936 Loss_G: 0.010444 Loss_D_real: -0.014244 Loss_D_fake 0.030692
[122/5000][230/535][12261] Loss_D: -0.042459 Loss_G: 0.036010 Loss_D_real: -0.034966 Loss_D_fake 0.007493
[122/5000][235/535][12262] Loss_D: -0.044288 Loss_G: -0.001311 Loss_D_real: -0.006455 Loss_D_fake 0.037833
[122/5000][240/535][12263] Loss_D: -0.042087 Loss_G: 0.033437 Loss_D_real: -0.034116 Loss_D_fake 0.007971
[122/5000][245/535][12264] Loss_D: -0.046838 Loss_G: 0.034600 Loss_D_real: -0.030549 Loss_D_fake 0.016289
[122/5000][250/535][12265] Loss_D: -0.043789 Loss_G: 0.032648 Loss_D_real: -0.036238 Loss_D_fake 0.007552
[122/5000][255/535][12266] Loss_D: -0.046076 Loss_G: 0.042315 Loss_D_real: -0.031527 Loss_D_fake 0.014549
[122/5000][260/535][12267] Loss_D: -0.044741 Loss_G: 0.022978 Loss_D_real: -0.029562 Loss_D_fake 0.015179
[122/5000][265/535][12268] Loss_D: -0.043380 Loss_G: 0.051478 Loss_D_real: -0.043556 Loss_D_fake -0.000176
[122/5000][270/535][12269] Loss_D: -0.042987 Loss_G: -0.000610 Loss_D_real: -0.002472 Loss_D_fake 0.040514
[122/5000][275/535][12270] Loss_D: -0.041729 Loss_G: 0.004089 Loss_D_real: -0.016092 Loss_D_fake 0.025637
[122/5000][280/535][12271] Loss_D: -0.042924 Loss_G: 0.035220 Loss_D_real: -0.039963 Loss_D_fake 0.002961
[122/5000][285/535][12272] Loss_D: -0.046030 Loss_G: 0.039716 Loss_D_real: -0.033403 Loss_D_fake 0.012627
[122/5000][290/535][12273] Loss_D: -0.043710 Loss_G: 0.004253 Loss_D_real: -0.014419 Loss_D_fake 0.029291
[122/5000][295/535][12274] Loss_D: -0.041277 Loss_G: 0.040346 Loss_D_real: -0.038658 Loss_D_fake 0.002619
[122/5000][300/535][12275] Loss_D: -0.044784 Loss_G: 0.001125 Loss_D_real: -0.006074 Loss_D_fake 0.038709
[122/5000][305/535][12276] Loss_D: -0.044663 Loss_G: 0.026685 Loss_D_real: -0.028997 Loss_D_fake 0.015666
[122/5000][310/535][12277] Loss_D: -0.046217 Loss_G: 0.040955 Loss_D_real: -0.037764 Loss_D_fake 0.008453
[122/5000][315/535][12278] Loss_D: -0.044217 Loss_G: 0.039475 Loss_D_real: -0.038248 Loss_D_fake 0.005970
[122/5000][320/535][12279] Loss_D: -0.045068 Loss_G: 0.027301 Loss_D_real: -0.031195 Loss_D_fake 0.013872
[122/5000][325/535][12280] Loss_D: -0.044802 Loss_G: 0.046102 Loss_D_real: -0.040995 Loss_D_fake 0.003807
[122/5000][330/535][12281] Loss_D: -0.042969 Loss_G: 0.014555 Loss_D_real: -0.013681 Loss_D_fake 0.029287
[122/5000][335/535][12282] Loss_D: -0.043352 Loss_G: 0.018587 Loss_D_real: -0.024462 Loss_D_fake 0.018890
[122/5000][340/535][12283] Loss_D: -0.041613 Loss_G: 0.011271 Loss_D_real: -0.016314 Loss_D_fake 0.025299
[122/5000][345/535][12284] Loss_D: -0.042951 Loss_G: 0.040062 Loss_D_real: -0.047917 Loss_D_fake -0.004966
[122/5000][350/535][12285] Loss_D: -0.044733 Loss_G: 0.006704 Loss_D_real: -0.014892 Loss_D_fake 0.029841
[122/5000][355/535][12286] Loss_D: -0.043493 Loss_G: 0.021938 Loss_D_real: -0.027501 Loss_D_fake 0.015993
[122/5000][360/535][12287] Loss_D: -0.043725 Loss_G: 0.009207 Loss_D_real: -0.018820 Loss_D_fake 0.024905
[122/5000][365/535][12288] Loss_D: -0.040803 Loss_G: 0.047594 Loss_D_real: -0.047789 Loss_D_fake -0.006985
[122/5000][370/535][12289] Loss_D: -0.046316 Loss_G: 0.022229 Loss_D_real: -0.025867 Loss_D_fake 0.020450
[122/5000][375/535][12290] Loss_D: -0.043271 Loss_G: 0.050301 Loss_D_real: -0.047351 Loss_D_fake -0.004080
[122/5000][380/535][12291] Loss_D: -0.043425 Loss_G: 0.006747 Loss_D_real: -0.008042 Loss_D_fake 0.035383
[122/5000][385/535][12292] Loss_D: -0.044494 Loss_G: 0.030839 Loss_D_real: -0.032937 Loss_D_fake 0.011557
[122/5000][390/535][12293] Loss_D: -0.043140 Loss_G: 0.013237 Loss_D_real: -0.022382 Loss_D_fake 0.020758
[122/5000][395/535][12294] Loss_D: -0.044770 Loss_G: 0.035240 Loss_D_real: -0.035497 Loss_D_fake 0.009273
[122/5000][400/535][12295] Loss_D: -0.042782 Loss_G: 0.007411 Loss_D_real: -0.009636 Loss_D_fake 0.033147
[122/5000][405/535][12296] Loss_D: -0.042264 Loss_G: 0.037473 Loss_D_real: -0.037213 Loss_D_fake 0.005051
[122/5000][410/535][12297] Loss_D: -0.041892 Loss_G: 0.018841 Loss_D_real: -0.017797 Loss_D_fake 0.024094
[122/5000][415/535][12298] Loss_D: -0.043885 Loss_G: 0.018800 Loss_D_real: -0.017682 Loss_D_fake 0.026203
[122/5000][420/535][12299] Loss_D: -0.042785 Loss_G: 0.016262 Loss_D_real: -0.019500 Loss_D_fake 0.023285
[122/5000][425/535][12300] Loss_D: -0.044081 Loss_G: 0.016309 Loss_D_real: -0.024265 Loss_D_fake 0.019816
[122/5000][430/535][12301] Loss_D: -0.043804 Loss_G: 0.004916 Loss_D_real: -0.013833 Loss_D_fake 0.029971
[122/5000][435/535][12302] Loss_D: -0.044129 Loss_G: 0.033583 Loss_D_real: -0.037459 Loss_D_fake 0.006670
[122/5000][440/535][12303] Loss_D: -0.043348 Loss_G: 0.005200 Loss_D_real: -0.014960 Loss_D_fake 0.028388
[122/5000][445/535][12304] Loss_D: -0.040533 Loss_G: 0.037439 Loss_D_real: -0.048065 Loss_D_fake -0.007532
[122/5000][450/535][12305] Loss_D: -0.043071 Loss_G: 0.010211 Loss_D_real: -0.017636 Loss_D_fake 0.025435
[122/5000][455/535][12306] Loss_D: -0.043216 Loss_G: 0.030233 Loss_D_real: -0.033103 Loss_D_fake 0.010113
[122/5000][460/535][12307] Loss_D: -0.040480 Loss_G: -0.002015 Loss_D_real: -0.007282 Loss_D_fake 0.033198
[122/5000][465/535][12308] Loss_D: -0.041571 Loss_G: 0.026325 Loss_D_real: -0.029869 Loss_D_fake 0.011702
[122/5000][470/535][12309] Loss_D: -0.042924 Loss_G: 0.014412 Loss_D_real: -0.015355 Loss_D_fake 0.027569
[122/5000][475/535][12310] Loss_D: -0.043688 Loss_G: 0.022692 Loss_D_real: -0.026288 Loss_D_fake 0.017400
[122/5000][480/535][12311] Loss_D: -0.044247 Loss_G: 0.025599 Loss_D_real: -0.026931 Loss_D_fake 0.017316
[122/5000][485/535][12312] Loss_D: -0.042547 Loss_G: 0.018195 Loss_D_real: -0.018296 Loss_D_fake 0.024252
[122/5000][490/535][12313] Loss_D: -0.041856 Loss_G: 0.008905 Loss_D_real: -0.013386 Loss_D_fake 0.028471
[122/5000][495/535][12314] Loss_D: -0.043419 Loss_G: 0.035310 Loss_D_real: -0.032528 Loss_D_fake 0.010891
[122/5000][500/535][12315] Loss_D: -0.042480 Loss_G: -0.007936 Loss_D_real: -0.009985 Loss_D_fake 0.032495
[122/5000][505/535][12316] Loss_D: -0.043259 Loss_G: 0.019733 Loss_D_real: -0.029992 Loss_D_fake 0.013267
[122/5000][510/535][12317] Loss_D: -0.043753 Loss_G: 0.008424 Loss_D_real: -0.012712 Loss_D_fake 0.031042
[122/5000][515/535][12318] Loss_D: -0.041726 Loss_G: 0.036905 Loss_D_real: -0.032300 Loss_D_fake 0.009426
[122/5000][520/535][12319] Loss_D: -0.042801 Loss_G: -0.005375 Loss_D_real: -0.003664 Loss_D_fake 0.039136
[122/5000][525/535][12320] Loss_D: -0.045798 Loss_G: 0.034358 Loss_D_real: -0.031575 Loss_D_fake 0.014223
[122/5000][530/535][12321] Loss_D: -0.042981 Loss_G: -0.006699 Loss_D_real: -0.001182 Loss_D_fake 0.041799
[122/5000][535/535][12322] Loss_D: -0.040959 Loss_G: 0.023782 Loss_D_real: -0.022758 Loss_D_fake 0.018202
[123/5000][5/535][12323] Loss_D: -0.043363 Loss_G: 0.000176 Loss_D_real: -0.012818 Loss_D_fake 0.030545
[123/5000][10/535][12324] Loss_D: -0.044728 Loss_G: 0.019704 Loss_D_real: -0.022804 Loss_D_fake 0.021924
[123/5000][15/535][12325] Loss_D: -0.045336 Loss_G: 0.033310 Loss_D_real: -0.038751 Loss_D_fake 0.006585
[123/5000][20/535][12326] Loss_D: -0.044713 Loss_G: 0.029596 Loss_D_real: -0.028320 Loss_D_fake 0.016393
[123/5000][25/535][12327] Loss_D: -0.043351 Loss_G: 0.051652 Loss_D_real: -0.054532 Loss_D_fake -0.011181
[123/5000][30/535][12328] Loss_D: -0.044475 Loss_G: 0.031657 Loss_D_real: -0.023940 Loss_D_fake 0.020535
[123/5000][35/535][12329] Loss_D: -0.046766 Loss_G: 0.028337 Loss_D_real: -0.030161 Loss_D_fake 0.016605
[123/5000][40/535][12330] Loss_D: -0.043903 Loss_G: 0.052829 Loss_D_real: -0.052611 Loss_D_fake -0.008708
[123/5000][45/535][12331] Loss_D: -0.044934 Loss_G: -0.015825 Loss_D_real: -0.003779 Loss_D_fake 0.041155
[123/5000][50/535][12332] Loss_D: -0.042069 Loss_G: 0.037015 Loss_D_real: -0.039598 Loss_D_fake 0.002471
[123/5000][55/535][12333] Loss_D: -0.045676 Loss_G: 0.020461 Loss_D_real: -0.023758 Loss_D_fake 0.021918
[123/5000][60/535][12334] Loss_D: -0.047690 Loss_G: 0.035104 Loss_D_real: -0.034522 Loss_D_fake 0.013167
[123/5000][65/535][12335] Loss_D: -0.045909 Loss_G: 0.000083 Loss_D_real: -0.019559 Loss_D_fake 0.026350
[123/5000][70/535][12336] Loss_D: -0.046020 Loss_G: 0.038549 Loss_D_real: -0.035018 Loss_D_fake 0.011002
[123/5000][75/535][12337] Loss_D: -0.043702 Loss_G: 0.019817 Loss_D_real: -0.025624 Loss_D_fake 0.018078
[123/5000][80/535][12338] Loss_D: -0.047971 Loss_G: 0.043752 Loss_D_real: -0.035962 Loss_D_fake 0.012009
[123/5000][85/535][12339] Loss_D: -0.046029 Loss_G: 0.031115 Loss_D_real: -0.031173 Loss_D_fake 0.014857
[123/5000][90/535][12340] Loss_D: -0.046801 Loss_G: 0.017228 Loss_D_real: -0.025400 Loss_D_fake 0.021401
[123/5000][95/535][12341] Loss_D: -0.045788 Loss_G: 0.053742 Loss_D_real: -0.054832 Loss_D_fake -0.009044
[123/5000][100/535][12342] Loss_D: -0.045314 Loss_G: 0.004918 Loss_D_real: -0.011954 Loss_D_fake 0.033360
[123/5000][105/535][12343] Loss_D: -0.045550 Loss_G: 0.049028 Loss_D_real: -0.040063 Loss_D_fake 0.005487
[123/5000][110/535][12344] Loss_D: -0.045246 Loss_G: 0.015289 Loss_D_real: -0.022494 Loss_D_fake 0.022751
[123/5000][115/535][12345] Loss_D: -0.045045 Loss_G: 0.042018 Loss_D_real: -0.034021 Loss_D_fake 0.011024
[123/5000][120/535][12346] Loss_D: -0.045556 Loss_G: 0.017553 Loss_D_real: -0.020856 Loss_D_fake 0.024700
[123/5000][125/535][12347] Loss_D: -0.045909 Loss_G: 0.043784 Loss_D_real: -0.038677 Loss_D_fake 0.007232
[123/5000][130/535][12348] Loss_D: -0.044089 Loss_G: 0.004697 Loss_D_real: -0.009683 Loss_D_fake 0.034406
[123/5000][135/535][12349] Loss_D: -0.043620 Loss_G: 0.021520 Loss_D_real: -0.020575 Loss_D_fake 0.023045
[123/5000][140/535][12350] Loss_D: -0.045593 Loss_G: 0.045527 Loss_D_real: -0.037897 Loss_D_fake 0.007696
[123/5000][145/535][12351] Loss_D: -0.045453 Loss_G: -0.002778 Loss_D_real: -0.014636 Loss_D_fake 0.030817
[123/5000][150/535][12352] Loss_D: -0.042889 Loss_G: 0.045434 Loss_D_real: -0.042770 Loss_D_fake 0.000119
[123/5000][155/535][12353] Loss_D: -0.046100 Loss_G: 0.011124 Loss_D_real: -0.018174 Loss_D_fake 0.027925
[123/5000][160/535][12354] Loss_D: -0.045071 Loss_G: 0.017809 Loss_D_real: -0.027236 Loss_D_fake 0.017835
[123/5000][165/535][12355] Loss_D: -0.043400 Loss_G: 0.014228 Loss_D_real: -0.026131 Loss_D_fake 0.017269
[123/5000][170/535][12356] Loss_D: -0.043187 Loss_G: 0.054877 Loss_D_real: -0.048833 Loss_D_fake -0.005647
[123/5000][175/535][12357] Loss_D: -0.043509 Loss_G: -0.003265 Loss_D_real: -0.005616 Loss_D_fake 0.037892
[123/5000][180/535][12358] Loss_D: -0.043557 Loss_G: 0.040127 Loss_D_real: -0.034762 Loss_D_fake 0.008794
[123/5000][185/535][12359] Loss_D: -0.043734 Loss_G: 0.005103 Loss_D_real: -0.015591 Loss_D_fake 0.028143
[123/5000][190/535][12360] Loss_D: -0.045487 Loss_G: 0.031263 Loss_D_real: -0.033591 Loss_D_fake 0.011896
[123/5000][195/535][12361] Loss_D: -0.045655 Loss_G: 0.007179 Loss_D_real: -0.018284 Loss_D_fake 0.027371
[123/5000][200/535][12362] Loss_D: -0.042702 Loss_G: 0.027000 Loss_D_real: -0.031464 Loss_D_fake 0.011239
[123/5000][205/535][12363] Loss_D: -0.044140 Loss_G: 0.026464 Loss_D_real: -0.025605 Loss_D_fake 0.018534
[123/5000][210/535][12364] Loss_D: -0.043790 Loss_G: 0.014196 Loss_D_real: -0.021953 Loss_D_fake 0.021837
[123/5000][215/535][12365] Loss_D: -0.044063 Loss_G: 0.037345 Loss_D_real: -0.038031 Loss_D_fake 0.006032
[123/5000][220/535][12366] Loss_D: -0.044530 Loss_G: -0.004695 Loss_D_real: -0.002848 Loss_D_fake 0.041682
[123/5000][225/535][12367] Loss_D: -0.040849 Loss_G: 0.045307 Loss_D_real: -0.041774 Loss_D_fake -0.000925
[123/5000][230/535][12368] Loss_D: -0.043286 Loss_G: 0.005261 Loss_D_real: -0.013969 Loss_D_fake 0.029317
[123/5000][235/535][12369] Loss_D: -0.043724 Loss_G: 0.038011 Loss_D_real: -0.040946 Loss_D_fake 0.002777
[123/5000][240/535][12370] Loss_D: -0.043148 Loss_G: 0.012779 Loss_D_real: -0.019831 Loss_D_fake 0.023317
[123/5000][245/535][12371] Loss_D: -0.043070 Loss_G: 0.045428 Loss_D_real: -0.048515 Loss_D_fake -0.005445
[123/5000][250/535][12372] Loss_D: -0.044091 Loss_G: 0.020787 Loss_D_real: -0.017914 Loss_D_fake 0.026177
[123/5000][255/535][12373] Loss_D: -0.044828 Loss_G: 0.031555 Loss_D_real: -0.033709 Loss_D_fake 0.011119
[123/5000][260/535][12374] Loss_D: -0.045759 Loss_G: 0.023959 Loss_D_real: -0.030239 Loss_D_fake 0.015520
[123/5000][265/535][12375] Loss_D: -0.046402 Loss_G: 0.024350 Loss_D_real: -0.022436 Loss_D_fake 0.023967
[123/5000][270/535][12376] Loss_D: -0.045562 Loss_G: 0.040204 Loss_D_real: -0.035641 Loss_D_fake 0.009921
[123/5000][275/535][12377] Loss_D: -0.045858 Loss_G: 0.034163 Loss_D_real: -0.030992 Loss_D_fake 0.014866
[123/5000][280/535][12378] Loss_D: -0.044642 Loss_G: 0.014755 Loss_D_real: -0.015581 Loss_D_fake 0.029062
[123/5000][285/535][12379] Loss_D: -0.043572 Loss_G: -0.005829 Loss_D_real: -0.012840 Loss_D_fake 0.030732
[123/5000][290/535][12380] Loss_D: -0.043506 Loss_G: 0.041311 Loss_D_real: -0.037576 Loss_D_fake 0.005930
[123/5000][295/535][12381] Loss_D: -0.045001 Loss_G: -0.000770 Loss_D_real: -0.010845 Loss_D_fake 0.034156
[123/5000][300/535][12382] Loss_D: -0.042408 Loss_G: 0.040564 Loss_D_real: -0.035373 Loss_D_fake 0.007035
[123/5000][305/535][12383] Loss_D: -0.042409 Loss_G: 0.009483 Loss_D_real: -0.013018 Loss_D_fake 0.029391
[123/5000][310/535][12384] Loss_D: -0.045404 Loss_G: 0.034967 Loss_D_real: -0.034334 Loss_D_fake 0.011070
[123/5000][315/535][12385] Loss_D: -0.044674 Loss_G: 0.006391 Loss_D_real: -0.016956 Loss_D_fake 0.027718
[123/5000][320/535][12386] Loss_D: -0.043624 Loss_G: 0.030379 Loss_D_real: -0.031870 Loss_D_fake 0.011754
[123/5000][325/535][12387] Loss_D: -0.043372 Loss_G: 0.006556 Loss_D_real: -0.011618 Loss_D_fake 0.031754
[123/5000][330/535][12388] Loss_D: -0.042978 Loss_G: 0.027553 Loss_D_real: -0.028164 Loss_D_fake 0.014814
[123/5000][335/535][12389] Loss_D: -0.045038 Loss_G: 0.022547 Loss_D_real: -0.025189 Loss_D_fake 0.019848
[123/5000][340/535][12390] Loss_D: -0.042314 Loss_G: 0.045971 Loss_D_real: -0.041656 Loss_D_fake 0.000658
[123/5000][345/535][12391] Loss_D: -0.045925 Loss_G: 0.027814 Loss_D_real: -0.031501 Loss_D_fake 0.014424
[123/5000][350/535][12392] Loss_D: -0.045303 Loss_G: 0.018390 Loss_D_real: -0.024867 Loss_D_fake 0.020437
[123/5000][355/535][12393] Loss_D: -0.044395 Loss_G: 0.019752 Loss_D_real: -0.022523 Loss_D_fake 0.021872
[123/5000][360/535][12394] Loss_D: -0.045100 Loss_G: 0.044015 Loss_D_real: -0.038394 Loss_D_fake 0.006705
[123/5000][365/535][12395] Loss_D: -0.045454 Loss_G: -0.001081 Loss_D_real: -0.005267 Loss_D_fake 0.040187
[123/5000][370/535][12396] Loss_D: -0.043943 Loss_G: 0.037276 Loss_D_real: -0.038158 Loss_D_fake 0.005785
[123/5000][375/535][12397] Loss_D: -0.044037 Loss_G: 0.047687 Loss_D_real: -0.046020 Loss_D_fake -0.001983
[123/5000][380/535][12398] Loss_D: -0.042428 Loss_G: -0.006858 Loss_D_real: 0.001217 Loss_D_fake 0.043645
[123/5000][385/535][12399] Loss_D: -0.043949 Loss_G: 0.026336 Loss_D_real: -0.028357 Loss_D_fake 0.015593
[123/5000][390/535][12400] Loss_D: -0.045707 Loss_G: 0.023084 Loss_D_real: -0.029614 Loss_D_fake 0.016092
[123/5000][395/535][12401] Loss_D: -0.042553 Loss_G: 0.049082 Loss_D_real: -0.046897 Loss_D_fake -0.004344
[123/5000][400/535][12402] Loss_D: -0.041983 Loss_G: 0.006287 Loss_D_real: -0.011069 Loss_D_fake 0.030914
[123/5000][405/535][12403] Loss_D: -0.041419 Loss_G: 0.045848 Loss_D_real: -0.039771 Loss_D_fake 0.001648
[123/5000][410/535][12404] Loss_D: -0.045939 Loss_G: 0.005982 Loss_D_real: -0.019457 Loss_D_fake 0.026481
[123/5000][415/535][12405] Loss_D: -0.042399 Loss_G: 0.034680 Loss_D_real: -0.033257 Loss_D_fake 0.009142
[123/5000][420/535][12406] Loss_D: -0.044697 Loss_G: 0.025699 Loss_D_real: -0.034054 Loss_D_fake 0.010643
[123/5000][425/535][12407] Loss_D: -0.045098 Loss_G: 0.033502 Loss_D_real: -0.034309 Loss_D_fake 0.010789
[123/5000][430/535][12408] Loss_D: -0.046224 Loss_G: 0.044278 Loss_D_real: -0.042569 Loss_D_fake 0.003655
[123/5000][435/535][12409] Loss_D: -0.042982 Loss_G: -0.011105 Loss_D_real: 0.001104 Loss_D_fake 0.044086
[123/5000][440/535][12410] Loss_D: -0.042739 Loss_G: 0.039797 Loss_D_real: -0.040858 Loss_D_fake 0.001880
[123/5000][445/535][12411] Loss_D: -0.045857 Loss_G: 0.020541 Loss_D_real: -0.024039 Loss_D_fake 0.021819
[123/5000][450/535][12412] Loss_D: -0.043435 Loss_G: 0.030983 Loss_D_real: -0.028462 Loss_D_fake 0.014973
[123/5000][455/535][12413] Loss_D: -0.043830 Loss_G: 0.017159 Loss_D_real: -0.018249 Loss_D_fake 0.025580
[123/5000][460/535][12414] Loss_D: -0.046241 Loss_G: 0.041137 Loss_D_real: -0.028945 Loss_D_fake 0.017296
[123/5000][465/535][12415] Loss_D: -0.045470 Loss_G: 0.016848 Loss_D_real: -0.021574 Loss_D_fake 0.023896
[123/5000][470/535][12416] Loss_D: -0.044252 Loss_G: 0.043867 Loss_D_real: -0.042381 Loss_D_fake 0.001871
[123/5000][475/535][12417] Loss_D: -0.042143 Loss_G: -0.011441 Loss_D_real: -0.000144 Loss_D_fake 0.041999
[123/5000][480/535][12418] Loss_D: -0.040336 Loss_G: 0.025775 Loss_D_real: -0.028380 Loss_D_fake 0.011956
[123/5000][485/535][12419] Loss_D: -0.041598 Loss_G: 0.024922 Loss_D_real: -0.030013 Loss_D_fake 0.011585
[123/5000][490/535][12420] Loss_D: -0.042507 Loss_G: 0.044977 Loss_D_real: -0.043211 Loss_D_fake -0.000705
[123/5000][495/535][12421] Loss_D: -0.043602 Loss_G: -0.005075 Loss_D_real: -0.006000 Loss_D_fake 0.037602
[123/5000][500/535][12422] Loss_D: -0.041347 Loss_G: 0.042279 Loss_D_real: -0.040328 Loss_D_fake 0.001018
[123/5000][505/535][12423] Loss_D: -0.043551 Loss_G: 0.028881 Loss_D_real: -0.030486 Loss_D_fake 0.013065
[123/5000][510/535][12424] Loss_D: -0.045406 Loss_G: 0.020589 Loss_D_real: -0.026227 Loss_D_fake 0.019180
[123/5000][515/535][12425] Loss_D: -0.042238 Loss_G: 0.051066 Loss_D_real: -0.047915 Loss_D_fake -0.005678
[123/5000][520/535][12426] Loss_D: -0.044180 Loss_G: 0.018487 Loss_D_real: -0.026734 Loss_D_fake 0.017446
[123/5000][525/535][12427] Loss_D: -0.045922 Loss_G: 0.032635 Loss_D_real: -0.031805 Loss_D_fake 0.014117
[123/5000][530/535][12428] Loss_D: -0.044100 Loss_G: 0.005199 Loss_D_real: -0.006766 Loss_D_fake 0.037334
[123/5000][535/535][12429] Loss_D: -0.039237 Loss_G: 0.043358 Loss_D_real: -0.041569 Loss_D_fake -0.002332
[124/5000][5/535][12430] Loss_D: -0.043571 Loss_G: 0.019804 Loss_D_real: -0.022338 Loss_D_fake 0.021233
[124/5000][10/535][12431] Loss_D: -0.043481 Loss_G: 0.021014 Loss_D_real: -0.027613 Loss_D_fake 0.015867
[124/5000][15/535][12432] Loss_D: -0.043316 Loss_G: 0.036398 Loss_D_real: -0.033736 Loss_D_fake 0.009579
[124/5000][20/535][12433] Loss_D: -0.044964 Loss_G: 0.023159 Loss_D_real: -0.020747 Loss_D_fake 0.024217
[124/5000][25/535][12434] Loss_D: -0.043096 Loss_G: 0.033662 Loss_D_real: -0.035276 Loss_D_fake 0.007820
[124/5000][30/535][12435] Loss_D: -0.044374 Loss_G: 0.013246 Loss_D_real: -0.018610 Loss_D_fake 0.025763
[124/5000][35/535][12436] Loss_D: -0.042788 Loss_G: 0.040750 Loss_D_real: -0.035262 Loss_D_fake 0.007526
[124/5000][40/535][12437] Loss_D: -0.044789 Loss_G: 0.013657 Loss_D_real: -0.014787 Loss_D_fake 0.030001
[124/5000][45/535][12438] Loss_D: -0.041246 Loss_G: 0.008200 Loss_D_real: -0.013760 Loss_D_fake 0.027486
[124/5000][50/535][12439] Loss_D: -0.040957 Loss_G: 0.055714 Loss_D_real: -0.051147 Loss_D_fake -0.010191
[124/5000][55/535][12440] Loss_D: -0.042976 Loss_G: 0.011986 Loss_D_real: -0.012513 Loss_D_fake 0.030464
[124/5000][60/535][12441] Loss_D: -0.043127 Loss_G: 0.034192 Loss_D_real: -0.033028 Loss_D_fake 0.010099
[124/5000][65/535][12442] Loss_D: -0.042617 Loss_G: 0.035876 Loss_D_real: -0.041255 Loss_D_fake 0.001362
[124/5000][70/535][12443] Loss_D: -0.044062 Loss_G: 0.031971 Loss_D_real: -0.033273 Loss_D_fake 0.010789
[124/5000][75/535][12444] Loss_D: -0.043169 Loss_G: -0.005382 Loss_D_real: -0.008104 Loss_D_fake 0.035064
[124/5000][80/535][12445] Loss_D: -0.041847 Loss_G: 0.038782 Loss_D_real: -0.034353 Loss_D_fake 0.007494
[124/5000][85/535][12446] Loss_D: -0.043376 Loss_G: 0.022094 Loss_D_real: -0.023497 Loss_D_fake 0.019879
[124/5000][90/535][12447] Loss_D: -0.044378 Loss_G: 0.015052 Loss_D_real: -0.025571 Loss_D_fake 0.018807
[124/5000][95/535][12448] Loss_D: -0.044311 Loss_G: 0.050252 Loss_D_real: -0.044762 Loss_D_fake -0.000451
[124/5000][100/535][12449] Loss_D: -0.043433 Loss_G: 0.018388 Loss_D_real: -0.020494 Loss_D_fake 0.022939
[124/5000][105/535][12450] Loss_D: -0.041620 Loss_G: 0.030597 Loss_D_real: -0.029714 Loss_D_fake 0.011906
[124/5000][110/535][12451] Loss_D: -0.042512 Loss_G: 0.017005 Loss_D_real: -0.024082 Loss_D_fake 0.018430
[124/5000][115/535][12452] Loss_D: -0.043819 Loss_G: 0.043315 Loss_D_real: -0.034629 Loss_D_fake 0.009189
[124/5000][120/535][12453] Loss_D: -0.044833 Loss_G: 0.027200 Loss_D_real: -0.027380 Loss_D_fake 0.017453
[124/5000][125/535][12454] Loss_D: -0.043057 Loss_G: 0.049226 Loss_D_real: -0.042626 Loss_D_fake 0.000431
[124/5000][130/535][12455] Loss_D: -0.044083 Loss_G: 0.006234 Loss_D_real: -0.011995 Loss_D_fake 0.032089
[124/5000][135/535][12456] Loss_D: -0.039891 Loss_G: 0.041663 Loss_D_real: -0.041358 Loss_D_fake -0.001467
[124/5000][140/535][12457] Loss_D: -0.042642 Loss_G: 0.000847 Loss_D_real: -0.011929 Loss_D_fake 0.030714
[124/5000][145/535][12458] Loss_D: -0.045337 Loss_G: 0.033243 Loss_D_real: -0.033604 Loss_D_fake 0.011733
[124/5000][150/535][12459] Loss_D: -0.046499 Loss_G: 0.016044 Loss_D_real: -0.027481 Loss_D_fake 0.019018
[124/5000][155/535][12460] Loss_D: -0.044115 Loss_G: 0.052458 Loss_D_real: -0.048575 Loss_D_fake -0.004460
[124/5000][160/535][12461] Loss_D: -0.044432 Loss_G: 0.007304 Loss_D_real: -0.015192 Loss_D_fake 0.029241
[124/5000][165/535][12462] Loss_D: -0.043992 Loss_G: 0.030472 Loss_D_real: -0.030437 Loss_D_fake 0.013555
[124/5000][170/535][12463] Loss_D: -0.044794 Loss_G: 0.006010 Loss_D_real: -0.017784 Loss_D_fake 0.027010
[124/5000][175/535][12464] Loss_D: -0.043879 Loss_G: 0.028832 Loss_D_real: -0.027528 Loss_D_fake 0.016351
[124/5000][180/535][12465] Loss_D: -0.044611 Loss_G: 0.036006 Loss_D_real: -0.029650 Loss_D_fake 0.014961
[124/5000][185/535][12466] Loss_D: -0.046152 Loss_G: 0.011407 Loss_D_real: -0.016178 Loss_D_fake 0.029974
[124/5000][190/535][12467] Loss_D: -0.044712 Loss_G: 0.047597 Loss_D_real: -0.044125 Loss_D_fake 0.000588
[124/5000][195/535][12468] Loss_D: -0.043565 Loss_G: -0.006948 Loss_D_real: 0.002560 Loss_D_fake 0.046125
[124/5000][200/535][12469] Loss_D: -0.041963 Loss_G: 0.039609 Loss_D_real: -0.035634 Loss_D_fake 0.006329
[124/5000][205/535][12470] Loss_D: -0.043105 Loss_G: 0.006929 Loss_D_real: -0.011097 Loss_D_fake 0.032008
[124/5000][210/535][12471] Loss_D: -0.043444 Loss_G: 0.037613 Loss_D_real: -0.038693 Loss_D_fake 0.004751
[124/5000][215/535][12472] Loss_D: -0.045275 Loss_G: 0.002437 Loss_D_real: -0.017045 Loss_D_fake 0.028230
[124/5000][220/535][12473] Loss_D: -0.045290 Loss_G: 0.033532 Loss_D_real: -0.036052 Loss_D_fake 0.009238
[124/5000][225/535][12474] Loss_D: -0.045181 Loss_G: 0.004772 Loss_D_real: -0.015623 Loss_D_fake 0.029558
[124/5000][230/535][12475] Loss_D: -0.045329 Loss_G: 0.040488 Loss_D_real: -0.035869 Loss_D_fake 0.009460
[124/5000][235/535][12476] Loss_D: -0.044870 Loss_G: -0.008377 Loss_D_real: -0.013626 Loss_D_fake 0.031244
[124/5000][240/535][12477] Loss_D: -0.044166 Loss_G: 0.031196 Loss_D_real: -0.037821 Loss_D_fake 0.006345
[124/5000][245/535][12478] Loss_D: -0.041506 Loss_G: 0.042286 Loss_D_real: -0.045553 Loss_D_fake -0.004047
[124/5000][250/535][12479] Loss_D: -0.043616 Loss_G: 0.049027 Loss_D_real: -0.039388 Loss_D_fake 0.004228
[124/5000][255/535][12480] Loss_D: -0.041910 Loss_G: 0.036358 Loss_D_real: -0.037816 Loss_D_fake 0.004094
[124/5000][260/535][12481] Loss_D: -0.043610 Loss_G: 0.004171 Loss_D_real: -0.014158 Loss_D_fake 0.029452
[124/5000][265/535][12482] Loss_D: -0.043170 Loss_G: 0.039671 Loss_D_real: -0.043089 Loss_D_fake 0.000080
[124/5000][270/535][12483] Loss_D: -0.044952 Loss_G: -0.001608 Loss_D_real: -0.007197 Loss_D_fake 0.037755
[124/5000][275/535][12484] Loss_D: -0.043084 Loss_G: 0.014347 Loss_D_real: -0.023211 Loss_D_fake 0.019873
[124/5000][280/535][12485] Loss_D: -0.040768 Loss_G: -0.001361 Loss_D_real: -0.012448 Loss_D_fake 0.028320
[124/5000][285/535][12486] Loss_D: -0.043613 Loss_G: 0.043162 Loss_D_real: -0.041965 Loss_D_fake 0.001649
[124/5000][290/535][12487] Loss_D: -0.044539 Loss_G: 0.006796 Loss_D_real: -0.015772 Loss_D_fake 0.028768
[124/5000][295/535][12488] Loss_D: -0.044507 Loss_G: 0.030441 Loss_D_real: -0.038782 Loss_D_fake 0.005725
[124/5000][300/535][12489] Loss_D: -0.045709 Loss_G: 0.040240 Loss_D_real: -0.042118 Loss_D_fake 0.003591
[124/5000][305/535][12490] Loss_D: -0.044020 Loss_G: 0.027044 Loss_D_real: -0.030054 Loss_D_fake 0.013966
[124/5000][310/535][12491] Loss_D: -0.041804 Loss_G: 0.047300 Loss_D_real: -0.042604 Loss_D_fake -0.000800
[124/5000][315/535][12492] Loss_D: -0.044830 Loss_G: 0.018298 Loss_D_real: -0.025261 Loss_D_fake 0.019569
[124/5000][320/535][12493] Loss_D: -0.044675 Loss_G: 0.026588 Loss_D_real: -0.032364 Loss_D_fake 0.012311
[124/5000][325/535][12494] Loss_D: -0.042203 Loss_G: 0.002368 Loss_D_real: -0.010395 Loss_D_fake 0.031808
[124/5000][330/535][12495] Loss_D: -0.042658 Loss_G: 0.034823 Loss_D_real: -0.033922 Loss_D_fake 0.008736
[124/5000][335/535][12496] Loss_D: -0.044923 Loss_G: 0.010336 Loss_D_real: -0.017673 Loss_D_fake 0.027250
[124/5000][340/535][12497] Loss_D: -0.044341 Loss_G: 0.040770 Loss_D_real: -0.042497 Loss_D_fake 0.001844
[124/5000][345/535][12498] Loss_D: -0.047644 Loss_G: 0.017898 Loss_D_real: -0.022921 Loss_D_fake 0.024723
[124/5000][350/535][12499] Loss_D: -0.044832 Loss_G: 0.016996 Loss_D_real: -0.028244 Loss_D_fake 0.016588
[124/5000][355/535][12500] Loss_D: -0.041952 Loss_G: 0.053591 Loss_D_real: -0.045760 Loss_D_fake -0.003807
[124/5000][455/535][12501] Loss_D: -0.044601 Loss_G: 0.034126 Loss_D_real: -0.038062 Loss_D_fake 0.006539
[124/5000][460/535][12502] Loss_D: -0.045357 Loss_G: 0.046614 Loss_D_real: -0.037931 Loss_D_fake 0.007426
[124/5000][465/535][12503] Loss_D: -0.041501 Loss_G: 0.003162 Loss_D_real: -0.017489 Loss_D_fake 0.024011
[124/5000][470/535][12504] Loss_D: -0.039549 Loss_G: 0.031695 Loss_D_real: -0.033693 Loss_D_fake 0.005856
[124/5000][475/535][12505] Loss_D: -0.039551 Loss_G: 0.010110 Loss_D_real: -0.018399 Loss_D_fake 0.021152
[124/5000][480/535][12506] Loss_D: -0.041750 Loss_G: 0.026996 Loss_D_real: -0.032595 Loss_D_fake 0.009156
[124/5000][485/535][12507] Loss_D: -0.042847 Loss_G: 0.018027 Loss_D_real: -0.024365 Loss_D_fake 0.018482
[124/5000][490/535][12508] Loss_D: -0.040865 Loss_G: 0.033808 Loss_D_real: -0.039448 Loss_D_fake 0.001417
[124/5000][495/535][12509] Loss_D: -0.043182 Loss_G: 0.005311 Loss_D_real: -0.005148 Loss_D_fake 0.038035
[124/5000][500/535][12510] Loss_D: -0.042876 Loss_G: 0.033282 Loss_D_real: -0.028932 Loss_D_fake 0.013944
[124/5000][505/535][12511] Loss_D: -0.040431 Loss_G: -0.001064 Loss_D_real: -0.009764 Loss_D_fake 0.030667
[124/5000][510/535][12512] Loss_D: -0.044520 Loss_G: 0.030194 Loss_D_real: -0.030799 Loss_D_fake 0.013720
[124/5000][515/535][12513] Loss_D: -0.042241 Loss_G: 0.018894 Loss_D_real: -0.029244 Loss_D_fake 0.012998
[124/5000][520/535][12514] Loss_D: -0.043552 Loss_G: 0.037596 Loss_D_real: -0.039064 Loss_D_fake 0.004487
[124/5000][525/535][12515] Loss_D: -0.043669 Loss_G: 0.005704 Loss_D_real: -0.016734 Loss_D_fake 0.026935
[124/5000][530/535][12516] Loss_D: -0.043411 Loss_G: 0.051183 Loss_D_real: -0.046979 Loss_D_fake -0.003568
[124/5000][535/535][12517] Loss_D: -0.042737 Loss_G: -0.000101 Loss_D_real: -0.005949 Loss_D_fake 0.036788
[125/5000][5/535][12518] Loss_D: -0.042881 Loss_G: 0.032413 Loss_D_real: -0.034960 Loss_D_fake 0.007920
[125/5000][10/535][12519] Loss_D: -0.045658 Loss_G: 0.039128 Loss_D_real: -0.035371 Loss_D_fake 0.010287
[125/5000][15/535][12520] Loss_D: -0.043774 Loss_G: 0.001860 Loss_D_real: -0.011192 Loss_D_fake 0.032582
[125/5000][20/535][12521] Loss_D: -0.042182 Loss_G: 0.008488 Loss_D_real: -0.020656 Loss_D_fake 0.021527
[125/5000][25/535][12522] Loss_D: -0.045634 Loss_G: 0.043755 Loss_D_real: -0.038554 Loss_D_fake 0.007080
[125/5000][30/535][12523] Loss_D: -0.043399 Loss_G: 0.013171 Loss_D_real: -0.019337 Loss_D_fake 0.024062
[125/5000][35/535][12524] Loss_D: -0.044624 Loss_G: 0.050804 Loss_D_real: -0.044150 Loss_D_fake 0.000474
[125/5000][40/535][12525] Loss_D: -0.043006 Loss_G: -0.004741 Loss_D_real: -0.000822 Loss_D_fake 0.042184
[125/5000][45/535][12526] Loss_D: -0.043932 Loss_G: 0.041621 Loss_D_real: -0.043851 Loss_D_fake 0.000081
[125/5000][50/535][12527] Loss_D: -0.044822 Loss_G: 0.022799 Loss_D_real: -0.020944 Loss_D_fake 0.023879
[125/5000][55/535][12528] Loss_D: -0.044743 Loss_G: -0.004500 Loss_D_real: 0.000030 Loss_D_fake 0.044774
[125/5000][60/535][12529] Loss_D: -0.042811 Loss_G: 0.015295 Loss_D_real: -0.023033 Loss_D_fake 0.019778
[125/5000][65/535][12530] Loss_D: -0.044188 Loss_G: 0.014439 Loss_D_real: -0.022218 Loss_D_fake 0.021970
[125/5000][70/535][12531] Loss_D: -0.043372 Loss_G: 0.043939 Loss_D_real: -0.046297 Loss_D_fake -0.002925
[125/5000][75/535][12532] Loss_D: -0.043189 Loss_G: 0.040098 Loss_D_real: -0.038670 Loss_D_fake 0.004520
[125/5000][80/535][12533] Loss_D: -0.043519 Loss_G: -0.001523 Loss_D_real: -0.003995 Loss_D_fake 0.039524
[125/5000][85/535][12534] Loss_D: -0.045610 Loss_G: 0.020944 Loss_D_real: -0.028461 Loss_D_fake 0.017148
[125/5000][90/535][12535] Loss_D: -0.045428 Loss_G: 0.036836 Loss_D_real: -0.034260 Loss_D_fake 0.011168
[125/5000][95/535][12536] Loss_D: -0.044858 Loss_G: 0.029340 Loss_D_real: -0.029842 Loss_D_fake 0.015016
[125/5000][100/535][12537] Loss_D: -0.043128 Loss_G: 0.010014 Loss_D_real: -0.018145 Loss_D_fake 0.024983
[125/5000][105/535][12538] Loss_D: -0.040653 Loss_G: 0.046506 Loss_D_real: -0.050741 Loss_D_fake -0.010089
[125/5000][110/535][12539] Loss_D: -0.043168 Loss_G: 0.002302 Loss_D_real: -0.011663 Loss_D_fake 0.031506
[125/5000][115/535][12540] Loss_D: -0.045054 Loss_G: 0.027197 Loss_D_real: -0.028938 Loss_D_fake 0.016116
[125/5000][120/535][12541] Loss_D: -0.043501 Loss_G: 0.049082 Loss_D_real: -0.044876 Loss_D_fake -0.001375
[125/5000][125/535][12542] Loss_D: -0.045586 Loss_G: 0.016346 Loss_D_real: -0.014144 Loss_D_fake 0.031441
[125/5000][130/535][12543] Loss_D: -0.042786 Loss_G: 0.043358 Loss_D_real: -0.041140 Loss_D_fake 0.001646
[125/5000][135/535][12544] Loss_D: -0.044789 Loss_G: 0.014974 Loss_D_real: -0.019572 Loss_D_fake 0.025217
[125/5000][140/535][12545] Loss_D: -0.042792 Loss_G: 0.043118 Loss_D_real: -0.038294 Loss_D_fake 0.004498
[125/5000][145/535][12546] Loss_D: -0.045339 Loss_G: 0.005458 Loss_D_real: -0.020042 Loss_D_fake 0.025297
[125/5000][150/535][12547] Loss_D: -0.043718 Loss_G: 0.020559 Loss_D_real: -0.032751 Loss_D_fake 0.010967
[125/5000][155/535][12548] Loss_D: -0.043957 Loss_G: 0.037638 Loss_D_real: -0.034412 Loss_D_fake 0.009545
[125/5000][160/535][12549] Loss_D: -0.044830 Loss_G: 0.024678 Loss_D_real: -0.019629 Loss_D_fake 0.025201
[125/5000][165/535][12550] Loss_D: -0.043975 Loss_G: 0.003070 Loss_D_real: -0.018901 Loss_D_fake 0.025074
[125/5000][170/535][12551] Loss_D: -0.043110 Loss_G: 0.041213 Loss_D_real: -0.036583 Loss_D_fake 0.006527
[125/5000][175/535][12552] Loss_D: -0.042772 Loss_G: -0.005397 Loss_D_real: -0.000029 Loss_D_fake 0.042743
[125/5000][180/535][12553] Loss_D: -0.041688 Loss_G: 0.036930 Loss_D_real: -0.040722 Loss_D_fake 0.000967
[125/5000][185/535][12554] Loss_D: -0.044898 Loss_G: 0.040365 Loss_D_real: -0.038285 Loss_D_fake 0.006613
[125/5000][190/535][12555] Loss_D: -0.044653 Loss_G: 0.005056 Loss_D_real: -0.015898 Loss_D_fake 0.028754
[125/5000][195/535][12556] Loss_D: -0.044633 Loss_G: 0.040386 Loss_D_real: -0.045053 Loss_D_fake -0.000420
[125/5000][200/535][12557] Loss_D: -0.044875 Loss_G: 0.017049 Loss_D_real: -0.019873 Loss_D_fake 0.025002
[125/5000][205/535][12558] Loss_D: -0.044597 Loss_G: 0.049082 Loss_D_real: -0.042189 Loss_D_fake 0.002407
[125/5000][210/535][12559] Loss_D: -0.040760 Loss_G: -0.012242 Loss_D_real: -0.000597 Loss_D_fake 0.040163
[125/5000][215/535][12560] Loss_D: -0.042290 Loss_G: 0.024550 Loss_D_real: -0.027236 Loss_D_fake 0.015054
[125/5000][220/535][12561] Loss_D: -0.043326 Loss_G: 0.007482 Loss_D_real: -0.015199 Loss_D_fake 0.028127
[125/5000][225/535][12562] Loss_D: -0.042985 Loss_G: 0.042018 Loss_D_real: -0.037453 Loss_D_fake 0.005531
[125/5000][230/535][12563] Loss_D: -0.043196 Loss_G: 0.018402 Loss_D_real: -0.024239 Loss_D_fake 0.018957
[125/5000][235/535][12564] Loss_D: -0.046467 Loss_G: 0.031677 Loss_D_real: -0.032683 Loss_D_fake 0.013784
[125/5000][240/535][12565] Loss_D: -0.044477 Loss_G: 0.023942 Loss_D_real: -0.020006 Loss_D_fake 0.024472
[125/5000][245/535][12566] Loss_D: -0.045849 Loss_G: 0.022474 Loss_D_real: -0.024343 Loss_D_fake 0.021506
[125/5000][250/535][12567] Loss_D: -0.043510 Loss_G: 0.035216 Loss_D_real: -0.032667 Loss_D_fake 0.010843
[125/5000][255/535][12568] Loss_D: -0.040842 Loss_G: -0.003034 Loss_D_real: -0.006816 Loss_D_fake 0.034026
[125/5000][260/535][12569] Loss_D: -0.041069 Loss_G: 0.033507 Loss_D_real: -0.040062 Loss_D_fake 0.001007
[125/5000][265/535][12570] Loss_D: -0.042316 Loss_G: 0.013599 Loss_D_real: -0.018856 Loss_D_fake 0.023460
[125/5000][270/535][12571] Loss_D: -0.042032 Loss_G: 0.032733 Loss_D_real: -0.034644 Loss_D_fake 0.007388
[125/5000][275/535][12572] Loss_D: -0.043582 Loss_G: 0.015737 Loss_D_real: -0.014580 Loss_D_fake 0.029001
[125/5000][280/535][12573] Loss_D: -0.045005 Loss_G: 0.022900 Loss_D_real: -0.031719 Loss_D_fake 0.013286
[125/5000][285/535][12574] Loss_D: -0.044192 Loss_G: 0.048711 Loss_D_real: -0.041160 Loss_D_fake 0.003032
[125/5000][290/535][12575] Loss_D: -0.044289 Loss_G: 0.007519 Loss_D_real: -0.012481 Loss_D_fake 0.031808
[125/5000][295/535][12576] Loss_D: -0.044316 Loss_G: 0.022530 Loss_D_real: -0.034723 Loss_D_fake 0.009593
[125/5000][300/535][12577] Loss_D: -0.042041 Loss_G: 0.028141 Loss_D_real: -0.031121 Loss_D_fake 0.010920
[125/5000][305/535][12578] Loss_D: -0.044738 Loss_G: 0.034656 Loss_D_real: -0.031496 Loss_D_fake 0.013242
[125/5000][310/535][12579] Loss_D: -0.045465 Loss_G: 0.022905 Loss_D_real: -0.017922 Loss_D_fake 0.027542
[125/5000][315/535][12580] Loss_D: -0.045193 Loss_G: 0.001888 Loss_D_real: -0.009607 Loss_D_fake 0.035587
[125/5000][320/535][12581] Loss_D: -0.044311 Loss_G: 0.049673 Loss_D_real: -0.046794 Loss_D_fake -0.002483
[125/5000][325/535][12582] Loss_D: -0.045765 Loss_G: 0.043481 Loss_D_real: -0.035390 Loss_D_fake 0.010376
[125/5000][330/535][12583] Loss_D: -0.044576 Loss_G: 0.010346 Loss_D_real: -0.018707 Loss_D_fake 0.025870
[125/5000][335/535][12584] Loss_D: -0.046124 Loss_G: 0.021534 Loss_D_real: -0.024406 Loss_D_fake 0.021718
[125/5000][340/535][12585] Loss_D: -0.044375 Loss_G: 0.025025 Loss_D_real: -0.031808 Loss_D_fake 0.012567
[125/5000][345/535][12586] Loss_D: -0.047149 Loss_G: 0.022947 Loss_D_real: -0.028191 Loss_D_fake 0.018959
[125/5000][350/535][12587] Loss_D: -0.045450 Loss_G: 0.042770 Loss_D_real: -0.037336 Loss_D_fake 0.008114
[125/5000][355/535][12588] Loss_D: -0.041409 Loss_G: -0.013950 Loss_D_real: -0.004468 Loss_D_fake 0.036941
[125/5000][360/535][12589] Loss_D: -0.042676 Loss_G: 0.045797 Loss_D_real: -0.043447 Loss_D_fake -0.000771
[125/5000][365/535][12590] Loss_D: -0.045087 Loss_G: -0.004448 Loss_D_real: -0.010193 Loss_D_fake 0.034893
[125/5000][370/535][12591] Loss_D: -0.044342 Loss_G: 0.031610 Loss_D_real: -0.035269 Loss_D_fake 0.009072
[125/5000][375/535][12592] Loss_D: -0.045114 Loss_G: 0.047088 Loss_D_real: -0.037226 Loss_D_fake 0.007888
[125/5000][380/535][12593] Loss_D: -0.044424 Loss_G: 0.014600 Loss_D_real: -0.020157 Loss_D_fake 0.024267
[125/5000][385/535][12594] Loss_D: -0.042730 Loss_G: 0.049716 Loss_D_real: -0.043626 Loss_D_fake -0.000897
[125/5000][390/535][12595] Loss_D: -0.044361 Loss_G: 0.019708 Loss_D_real: -0.016709 Loss_D_fake 0.027652
[125/5000][395/535][12596] Loss_D: -0.041421 Loss_G: 0.049410 Loss_D_real: -0.052075 Loss_D_fake -0.010654
[125/5000][400/535][12597] Loss_D: -0.044242 Loss_G: 0.003283 Loss_D_real: -0.012991 Loss_D_fake 0.031251
[125/5000][405/535][12598] Loss_D: -0.043664 Loss_G: 0.030754 Loss_D_real: -0.035024 Loss_D_fake 0.008641
[125/5000][410/535][12599] Loss_D: -0.045559 Loss_G: 0.030328 Loss_D_real: -0.028851 Loss_D_fake 0.016708
[125/5000][415/535][12600] Loss_D: -0.045090 Loss_G: 0.010615 Loss_D_real: -0.022094 Loss_D_fake 0.022995
[125/5000][420/535][12601] Loss_D: -0.044326 Loss_G: 0.045424 Loss_D_real: -0.038461 Loss_D_fake 0.005865
[125/5000][425/535][12602] Loss_D: -0.042896 Loss_G: 0.023921 Loss_D_real: -0.022874 Loss_D_fake 0.020022
[125/5000][430/535][12603] Loss_D: -0.043830 Loss_G: 0.003181 Loss_D_real: -0.015194 Loss_D_fake 0.028635
[125/5000][435/535][12604] Loss_D: -0.038967 Loss_G: 0.041697 Loss_D_real: -0.037120 Loss_D_fake 0.001847
[125/5000][440/535][12605] Loss_D: -0.044599 Loss_G: 0.003802 Loss_D_real: -0.009154 Loss_D_fake 0.035445
[125/5000][445/535][12606] Loss_D: -0.042593 Loss_G: 0.036300 Loss_D_real: -0.040223 Loss_D_fake 0.002370
[125/5000][450/535][12607] Loss_D: -0.043841 Loss_G: 0.031137 Loss_D_real: -0.026981 Loss_D_fake 0.016859
[125/5000][455/535][12608] Loss_D: -0.045696 Loss_G: 0.044778 Loss_D_real: -0.045489 Loss_D_fake 0.000207
[125/5000][460/535][12609] Loss_D: -0.042734 Loss_G: -0.011156 Loss_D_real: -0.000766 Loss_D_fake 0.041967
[125/5000][465/535][12610] Loss_D: -0.042773 Loss_G: 0.022930 Loss_D_real: -0.031709 Loss_D_fake 0.011064
[125/5000][470/535][12611] Loss_D: -0.044023 Loss_G: 0.016288 Loss_D_real: -0.023168 Loss_D_fake 0.020855
[125/5000][475/535][12612] Loss_D: -0.042043 Loss_G: 0.016094 Loss_D_real: -0.022899 Loss_D_fake 0.019145
[125/5000][480/535][12613] Loss_D: -0.043224 Loss_G: 0.036753 Loss_D_real: -0.040173 Loss_D_fake 0.003051
[125/5000][485/535][12614] Loss_D: -0.046855 Loss_G: 0.016252 Loss_D_real: -0.023274 Loss_D_fake 0.023581
[125/5000][490/535][12615] Loss_D: -0.042137 Loss_G: 0.059940 Loss_D_real: -0.050588 Loss_D_fake -0.008451
[125/5000][495/535][12616] Loss_D: -0.043494 Loss_G: 0.001585 Loss_D_real: -0.008042 Loss_D_fake 0.035452
[125/5000][500/535][12617] Loss_D: -0.041524 Loss_G: 0.034788 Loss_D_real: -0.041524 Loss_D_fake 0.000000
[125/5000][505/535][12618] Loss_D: -0.044269 Loss_G: 0.012964 Loss_D_real: -0.019950 Loss_D_fake 0.024319
[125/5000][510/535][12619] Loss_D: -0.045982 Loss_G: 0.034779 Loss_D_real: -0.035962 Loss_D_fake 0.010021
[125/5000][515/535][12620] Loss_D: -0.044422 Loss_G: 0.003545 Loss_D_real: -0.010759 Loss_D_fake 0.033663
[125/5000][520/535][12621] Loss_D: -0.041769 Loss_G: 0.030784 Loss_D_real: -0.037394 Loss_D_fake 0.004376
[125/5000][525/535][12622] Loss_D: -0.042002 Loss_G: 0.010682 Loss_D_real: -0.017982 Loss_D_fake 0.024021
[125/5000][530/535][12623] Loss_D: -0.043080 Loss_G: 0.035243 Loss_D_real: -0.040941 Loss_D_fake 0.002140
[125/5000][535/535][12624] Loss_D: -0.044605 Loss_G: 0.029577 Loss_D_real: -0.030438 Loss_D_fake 0.014166
[126/5000][5/535][12625] Loss_D: -0.045145 Loss_G: 0.020006 Loss_D_real: -0.026361 Loss_D_fake 0.018784
[126/5000][10/535][12626] Loss_D: -0.047194 Loss_G: 0.038971 Loss_D_real: -0.035853 Loss_D_fake 0.011341
[126/5000][15/535][12627] Loss_D: -0.044635 Loss_G: 0.012832 Loss_D_real: -0.023993 Loss_D_fake 0.020642
[126/5000][20/535][12628] Loss_D: -0.044879 Loss_G: 0.020354 Loss_D_real: -0.032251 Loss_D_fake 0.012628
[126/5000][25/535][12629] Loss_D: -0.043359 Loss_G: 0.040380 Loss_D_real: -0.042882 Loss_D_fake 0.000476
[126/5000][30/535][12630] Loss_D: -0.044459 Loss_G: 0.023462 Loss_D_real: -0.023221 Loss_D_fake 0.021239
[126/5000][35/535][12631] Loss_D: -0.044321 Loss_G: 0.017400 Loss_D_real: -0.019498 Loss_D_fake 0.024823
[126/5000][40/535][12632] Loss_D: -0.041638 Loss_G: 0.043639 Loss_D_real: -0.042591 Loss_D_fake -0.000954
[126/5000][45/535][12633] Loss_D: -0.041263 Loss_G: 0.009219 Loss_D_real: -0.019565 Loss_D_fake 0.021698
[126/5000][50/535][12634] Loss_D: -0.041078 Loss_G: 0.032292 Loss_D_real: -0.035308 Loss_D_fake 0.005770
[126/5000][55/535][12635] Loss_D: -0.041709 Loss_G: 0.005587 Loss_D_real: -0.015461 Loss_D_fake 0.026248
[126/5000][60/535][12636] Loss_D: -0.042703 Loss_G: 0.032970 Loss_D_real: -0.030956 Loss_D_fake 0.011747
[126/5000][65/535][12637] Loss_D: -0.043494 Loss_G: 0.005426 Loss_D_real: -0.013180 Loss_D_fake 0.030315
[126/5000][70/535][12638] Loss_D: -0.042860 Loss_G: 0.032353 Loss_D_real: -0.032657 Loss_D_fake 0.010203
[126/5000][75/535][12639] Loss_D: -0.042522 Loss_G: 0.012319 Loss_D_real: -0.016992 Loss_D_fake 0.025531
[126/5000][80/535][12640] Loss_D: -0.042968 Loss_G: 0.005050 Loss_D_real: -0.009450 Loss_D_fake 0.033518
[126/5000][85/535][12641] Loss_D: -0.039840 Loss_G: 0.046761 Loss_D_real: -0.043901 Loss_D_fake -0.004061
[126/5000][90/535][12642] Loss_D: -0.041013 Loss_G: -0.002795 Loss_D_real: -0.000358 Loss_D_fake 0.040654
[126/5000][95/535][12643] Loss_D: -0.041835 Loss_G: 0.018176 Loss_D_real: -0.027893 Loss_D_fake 0.013942
[126/5000][100/535][12644] Loss_D: -0.042767 Loss_G: 0.022590 Loss_D_real: -0.020054 Loss_D_fake 0.022713
[126/5000][105/535][12645] Loss_D: -0.043478 Loss_G: 0.043652 Loss_D_real: -0.038425 Loss_D_fake 0.005054
[126/5000][110/535][12646] Loss_D: -0.042340 Loss_G: 0.017029 Loss_D_real: -0.023063 Loss_D_fake 0.019277
[126/5000][115/535][12647] Loss_D: -0.045662 Loss_G: 0.039289 Loss_D_real: -0.035045 Loss_D_fake 0.010617
[126/5000][120/535][12648] Loss_D: -0.046556 Loss_G: -0.002924 Loss_D_real: -0.012684 Loss_D_fake 0.033872
[126/5000][125/535][12649] Loss_D: -0.042032 Loss_G: 0.046873 Loss_D_real: -0.046098 Loss_D_fake -0.004066
[126/5000][130/535][12650] Loss_D: -0.042656 Loss_G: -0.006918 Loss_D_real: -0.002986 Loss_D_fake 0.039669
[126/5000][135/535][12651] Loss_D: -0.039388 Loss_G: 0.037240 Loss_D_real: -0.040215 Loss_D_fake -0.000827
[126/5000][140/535][12652] Loss_D: -0.042726 Loss_G: 0.009675 Loss_D_real: -0.018394 Loss_D_fake 0.024332
[126/5000][145/535][12653] Loss_D: -0.043526 Loss_G: 0.031119 Loss_D_real: -0.034704 Loss_D_fake 0.008822
[126/5000][150/535][12654] Loss_D: -0.042293 Loss_G: 0.023785 Loss_D_real: -0.029648 Loss_D_fake 0.012644
[126/5000][155/535][12655] Loss_D: -0.046264 Loss_G: 0.017801 Loss_D_real: -0.025238 Loss_D_fake 0.021025
[126/5000][160/535][12656] Loss_D: -0.040433 Loss_G: 0.005006 Loss_D_real: -0.005120 Loss_D_fake 0.035312
[126/5000][165/535][12657] Loss_D: -0.042577 Loss_G: 0.041923 Loss_D_real: -0.036944 Loss_D_fake 0.005633
[126/5000][170/535][12658] Loss_D: -0.044045 Loss_G: 0.011352 Loss_D_real: -0.018749 Loss_D_fake 0.025295
[126/5000][175/535][12659] Loss_D: -0.042693 Loss_G: 0.035139 Loss_D_real: -0.044533 Loss_D_fake -0.001840
[126/5000][180/535][12660] Loss_D: -0.044157 Loss_G: 0.032249 Loss_D_real: -0.033869 Loss_D_fake 0.010288
[126/5000][185/535][12661] Loss_D: -0.047473 Loss_G: 0.021198 Loss_D_real: -0.028891 Loss_D_fake 0.018582
[126/5000][190/535][12662] Loss_D: -0.045087 Loss_G: 0.028192 Loss_D_real: -0.029183 Loss_D_fake 0.015905
[126/5000][195/535][12663] Loss_D: -0.045870 Loss_G: 0.028459 Loss_D_real: -0.033601 Loss_D_fake 0.012268
[126/5000][200/535][12664] Loss_D: -0.045017 Loss_G: 0.047110 Loss_D_real: -0.039237 Loss_D_fake 0.005780
[126/5000][205/535][12665] Loss_D: -0.043244 Loss_G: -0.007098 Loss_D_real: -0.002658 Loss_D_fake 0.040586
[126/5000][210/535][12666] Loss_D: -0.043055 Loss_G: 0.017184 Loss_D_real: -0.020612 Loss_D_fake 0.022443
[126/5000][215/535][12667] Loss_D: -0.046096 Loss_G: 0.049327 Loss_D_real: -0.047252 Loss_D_fake -0.001156
[126/5000][220/535][12668] Loss_D: -0.044627 Loss_G: -0.000271 Loss_D_real: -0.013243 Loss_D_fake 0.031384
[126/5000][225/535][12669] Loss_D: -0.043634 Loss_G: 0.040069 Loss_D_real: -0.035993 Loss_D_fake 0.007641
[126/5000][230/535][12670] Loss_D: -0.045034 Loss_G: 0.005153 Loss_D_real: -0.014700 Loss_D_fake 0.030334
[126/5000][235/535][12671] Loss_D: -0.045404 Loss_G: 0.038718 Loss_D_real: -0.037522 Loss_D_fake 0.007881
[126/5000][240/535][12672] Loss_D: -0.046684 Loss_G: -0.009218 Loss_D_real: -0.007378 Loss_D_fake 0.039307
[126/5000][245/535][12673] Loss_D: -0.042180 Loss_G: 0.037146 Loss_D_real: -0.039718 Loss_D_fake 0.002462
[126/5000][250/535][12674] Loss_D: -0.043416 Loss_G: 0.016169 Loss_D_real: -0.023508 Loss_D_fake 0.019908
[126/5000][255/535][12675] Loss_D: -0.043899 Loss_G: 0.012632 Loss_D_real: -0.017278 Loss_D_fake 0.026621
[126/5000][260/535][12676] Loss_D: -0.043939 Loss_G: 0.031541 Loss_D_real: -0.031222 Loss_D_fake 0.012717
[126/5000][265/535][12677] Loss_D: -0.044618 Loss_G: 0.031442 Loss_D_real: -0.028726 Loss_D_fake 0.015893
[126/5000][270/535][12678] Loss_D: -0.045028 Loss_G: 0.013950 Loss_D_real: -0.025096 Loss_D_fake 0.019932
[126/5000][275/535][12679] Loss_D: -0.041845 Loss_G: 0.052367 Loss_D_real: -0.045496 Loss_D_fake -0.003651
[126/5000][280/535][12680] Loss_D: -0.043234 Loss_G: -0.008557 Loss_D_real: -0.002936 Loss_D_fake 0.040298
[126/5000][285/535][12681] Loss_D: -0.041376 Loss_G: 0.030635 Loss_D_real: -0.027200 Loss_D_fake 0.014176
[126/5000][290/535][12682] Loss_D: -0.041096 Loss_G: 0.006778 Loss_D_real: -0.015517 Loss_D_fake 0.025579
[126/5000][295/535][12683] Loss_D: -0.039339 Loss_G: 0.043563 Loss_D_real: -0.040900 Loss_D_fake -0.001561
[126/5000][300/535][12684] Loss_D: -0.044023 Loss_G: 0.020326 Loss_D_real: -0.026567 Loss_D_fake 0.017456
[126/5000][305/535][12685] Loss_D: -0.044115 Loss_G: 0.024036 Loss_D_real: -0.018917 Loss_D_fake 0.025198
[126/5000][310/535][12686] Loss_D: -0.041682 Loss_G: 0.048702 Loss_D_real: -0.040060 Loss_D_fake 0.001622
[126/5000][315/535][12687] Loss_D: -0.043488 Loss_G: 0.031244 Loss_D_real: -0.025807 Loss_D_fake 0.017681
[126/5000][320/535][12688] Loss_D: -0.044540 Loss_G: 0.026279 Loss_D_real: -0.030386 Loss_D_fake 0.014154
[126/5000][325/535][12689] Loss_D: -0.044013 Loss_G: 0.021679 Loss_D_real: -0.034453 Loss_D_fake 0.009561
[126/5000][330/535][12690] Loss_D: -0.046513 Loss_G: 0.029491 Loss_D_real: -0.032936 Loss_D_fake 0.013577
[126/5000][335/535][12691] Loss_D: -0.043877 Loss_G: 0.035858 Loss_D_real: -0.035771 Loss_D_fake 0.008106
[126/5000][340/535][12692] Loss_D: -0.045579 Loss_G: 0.031718 Loss_D_real: -0.025326 Loss_D_fake 0.020253
[126/5000][345/535][12693] Loss_D: -0.045207 Loss_G: 0.008471 Loss_D_real: -0.017939 Loss_D_fake 0.027268
[126/5000][350/535][12694] Loss_D: -0.041864 Loss_G: 0.053262 Loss_D_real: -0.046020 Loss_D_fake -0.004157
[126/5000][355/535][12695] Loss_D: -0.041453 Loss_G: -0.014511 Loss_D_real: 0.005614 Loss_D_fake 0.047067
[126/5000][360/535][12696] Loss_D: -0.040070 Loss_G: 0.041201 Loss_D_real: -0.038927 Loss_D_fake 0.001143
[126/5000][365/535][12697] Loss_D: -0.041360 Loss_G: -0.002400 Loss_D_real: -0.001269 Loss_D_fake 0.040091
[126/5000][370/535][12698] Loss_D: -0.041070 Loss_G: 0.033189 Loss_D_real: -0.033209 Loss_D_fake 0.007862
[126/5000][375/535][12699] Loss_D: -0.043633 Loss_G: 0.007480 Loss_D_real: -0.017324 Loss_D_fake 0.026309
[126/5000][380/535][12700] Loss_D: -0.042556 Loss_G: 0.022051 Loss_D_real: -0.018367 Loss_D_fake 0.024189
[126/5000][385/535][12701] Loss_D: -0.043655 Loss_G: 0.019125 Loss_D_real: -0.024307 Loss_D_fake 0.019348
[126/5000][390/535][12702] Loss_D: -0.046359 Loss_G: 0.029083 Loss_D_real: -0.028396 Loss_D_fake 0.017963
[126/5000][395/535][12703] Loss_D: -0.044542 Loss_G: 0.049352 Loss_D_real: -0.044187 Loss_D_fake 0.000354
[126/5000][400/535][12704] Loss_D: -0.045200 Loss_G: 0.006285 Loss_D_real: -0.014264 Loss_D_fake 0.030935
[126/5000][405/535][12705] Loss_D: -0.045298 Loss_G: 0.037499 Loss_D_real: -0.039472 Loss_D_fake 0.005826
[126/5000][410/535][12706] Loss_D: -0.043941 Loss_G: 0.031334 Loss_D_real: -0.021401 Loss_D_fake 0.022540
[126/5000][415/535][12707] Loss_D: -0.044491 Loss_G: 0.003900 Loss_D_real: -0.013244 Loss_D_fake 0.031248
[126/5000][420/535][12708] Loss_D: -0.042239 Loss_G: 0.055099 Loss_D_real: -0.052435 Loss_D_fake -0.010196
[126/5000][425/535][12709] Loss_D: -0.042813 Loss_G: 0.002414 Loss_D_real: -0.007017 Loss_D_fake 0.035796
[126/5000][430/535][12710] Loss_D: -0.041837 Loss_G: 0.024288 Loss_D_real: -0.026197 Loss_D_fake 0.015640
[126/5000][435/535][12711] Loss_D: -0.044095 Loss_G: 0.026077 Loss_D_real: -0.029718 Loss_D_fake 0.014377
[126/5000][440/535][12712] Loss_D: -0.042745 Loss_G: 0.046787 Loss_D_real: -0.037379 Loss_D_fake 0.005366
[126/5000][445/535][12713] Loss_D: -0.044662 Loss_G: 0.022127 Loss_D_real: -0.025037 Loss_D_fake 0.019626
[126/5000][450/535][12714] Loss_D: -0.045625 Loss_G: 0.030105 Loss_D_real: -0.039009 Loss_D_fake 0.006616
[126/5000][455/535][12715] Loss_D: -0.045556 Loss_G: 0.023943 Loss_D_real: -0.032993 Loss_D_fake 0.012564
[126/5000][460/535][12716] Loss_D: -0.045402 Loss_G: 0.022866 Loss_D_real: -0.030225 Loss_D_fake 0.015177
[126/5000][465/535][12717] Loss_D: -0.044705 Loss_G: 0.037449 Loss_D_real: -0.032116 Loss_D_fake 0.012589
[126/5000][470/535][12718] Loss_D: -0.044822 Loss_G: -0.002862 Loss_D_real: -0.014488 Loss_D_fake 0.030334
[126/5000][475/535][12719] Loss_D: -0.042876 Loss_G: 0.050026 Loss_D_real: -0.042183 Loss_D_fake 0.000693
[126/5000][480/535][12720] Loss_D: -0.043588 Loss_G: -0.002633 Loss_D_real: -0.006685 Loss_D_fake 0.036903
[126/5000][485/535][12721] Loss_D: -0.041916 Loss_G: 0.032266 Loss_D_real: -0.034255 Loss_D_fake 0.007661
[126/5000][490/535][12722] Loss_D: -0.042792 Loss_G: 0.011071 Loss_D_real: -0.015187 Loss_D_fake 0.027605
[126/5000][495/535][12723] Loss_D: -0.045184 Loss_G: 0.023987 Loss_D_real: -0.025813 Loss_D_fake 0.019371
[126/5000][500/535][12724] Loss_D: -0.040610 Loss_G: -0.002317 Loss_D_real: -0.006298 Loss_D_fake 0.034312
[126/5000][505/535][12725] Loss_D: -0.042518 Loss_G: 0.045883 Loss_D_real: -0.037188 Loss_D_fake 0.005330
[126/5000][510/535][12726] Loss_D: -0.043141 Loss_G: 0.007424 Loss_D_real: -0.014988 Loss_D_fake 0.028153
[126/5000][515/535][12727] Loss_D: -0.044789 Loss_G: 0.038586 Loss_D_real: -0.036902 Loss_D_fake 0.007887
[126/5000][520/535][12728] Loss_D: -0.045496 Loss_G: 0.038478 Loss_D_real: -0.029716 Loss_D_fake 0.015780
[126/5000][525/535][12729] Loss_D: -0.043616 Loss_G: 0.047321 Loss_D_real: -0.042249 Loss_D_fake 0.001367
[126/5000][530/535][12730] Loss_D: -0.044524 Loss_G: -0.003834 Loss_D_real: -0.011919 Loss_D_fake 0.032605
[126/5000][535/535][12731] Loss_D: -0.041581 Loss_G: 0.049240 Loss_D_real: -0.030972 Loss_D_fake 0.010609
[127/5000][5/535][12732] Loss_D: -0.041138 Loss_G: 0.036833 Loss_D_real: -0.032704 Loss_D_fake 0.008434
[127/5000][10/535][12733] Loss_D: -0.044990 Loss_G: 0.027764 Loss_D_real: -0.028392 Loss_D_fake 0.016598
[127/5000][15/535][12734] Loss_D: -0.043263 Loss_G: 0.040870 Loss_D_real: -0.034654 Loss_D_fake 0.008609
[127/5000][20/535][12735] Loss_D: -0.041697 Loss_G: 0.010338 Loss_D_real: -0.010146 Loss_D_fake 0.031552
[127/5000][25/535][12736] Loss_D: -0.042576 Loss_G: 0.036650 Loss_D_real: -0.038422 Loss_D_fake 0.004154
[127/5000][30/535][12737] Loss_D: -0.043412 Loss_G: 0.003451 Loss_D_real: -0.009277 Loss_D_fake 0.034135
[127/5000][35/535][12738] Loss_D: -0.041837 Loss_G: 0.049357 Loss_D_real: -0.040372 Loss_D_fake 0.001465
[127/5000][40/535][12739] Loss_D: -0.044576 Loss_G: -0.004679 Loss_D_real: -0.011376 Loss_D_fake 0.033200
[127/5000][45/535][12740] Loss_D: -0.042063 Loss_G: 0.021553 Loss_D_real: -0.025192 Loss_D_fake 0.016871
[127/5000][50/535][12741] Loss_D: -0.041663 Loss_G: 0.035580 Loss_D_real: -0.033136 Loss_D_fake 0.008527
[127/5000][55/535][12742] Loss_D: -0.044486 Loss_G: 0.029378 Loss_D_real: -0.027668 Loss_D_fake 0.016818
[127/5000][60/535][12743] Loss_D: -0.045779 Loss_G: 0.026234 Loss_D_real: -0.030506 Loss_D_fake 0.015273
[127/5000][65/535][12744] Loss_D: -0.042797 Loss_G: 0.020315 Loss_D_real: -0.025672 Loss_D_fake 0.017125
[127/5000][70/535][12745] Loss_D: -0.042494 Loss_G: 0.053343 Loss_D_real: -0.048735 Loss_D_fake -0.006242
[127/5000][75/535][12746] Loss_D: -0.042309 Loss_G: -0.010169 Loss_D_real: -0.005732 Loss_D_fake 0.036576
[127/5000][80/535][12747] Loss_D: -0.042792 Loss_G: 0.032341 Loss_D_real: -0.033458 Loss_D_fake 0.009333
[127/5000][85/535][12748] Loss_D: -0.041588 Loss_G: 0.028299 Loss_D_real: -0.033580 Loss_D_fake 0.008008
[127/5000][90/535][12749] Loss_D: -0.041482 Loss_G: 0.036310 Loss_D_real: -0.034167 Loss_D_fake 0.007316
[127/5000][95/535][12750] Loss_D: -0.044113 Loss_G: 0.009929 Loss_D_real: -0.021680 Loss_D_fake 0.022433
[127/5000][100/535][12751] Loss_D: -0.044032 Loss_G: 0.035521 Loss_D_real: -0.035147 Loss_D_fake 0.008885
[127/5000][105/535][12752] Loss_D: -0.044772 Loss_G: 0.018518 Loss_D_real: -0.025322 Loss_D_fake 0.019450
[127/5000][110/535][12753] Loss_D: -0.046550 Loss_G: 0.043278 Loss_D_real: -0.038835 Loss_D_fake 0.007715
[127/5000][115/535][12754] Loss_D: -0.041699 Loss_G: -0.000802 Loss_D_real: -0.004943 Loss_D_fake 0.036756
[127/5000][120/535][12755] Loss_D: -0.041561 Loss_G: 0.041762 Loss_D_real: -0.041458 Loss_D_fake 0.000103
[127/5000][125/535][12756] Loss_D: -0.042916 Loss_G: -0.006681 Loss_D_real: -0.001149 Loss_D_fake 0.041767
[127/5000][130/535][12757] Loss_D: -0.044235 Loss_G: 0.033969 Loss_D_real: -0.035566 Loss_D_fake 0.008669
[127/5000][135/535][12758] Loss_D: -0.042894 Loss_G: 0.011854 Loss_D_real: -0.020682 Loss_D_fake 0.022212
[127/5000][140/535][12759] Loss_D: -0.043896 Loss_G: 0.038288 Loss_D_real: -0.041680 Loss_D_fake 0.002216
[127/5000][145/535][12760] Loss_D: -0.043614 Loss_G: 0.002663 Loss_D_real: -0.006051 Loss_D_fake 0.037563
[127/5000][150/535][12761] Loss_D: -0.042702 Loss_G: 0.041792 Loss_D_real: -0.037996 Loss_D_fake 0.004706
[127/5000][155/535][12762] Loss_D: -0.044224 Loss_G: 0.016143 Loss_D_real: -0.019096 Loss_D_fake 0.025128
[127/5000][160/535][12763] Loss_D: -0.044199 Loss_G: 0.013952 Loss_D_real: -0.023564 Loss_D_fake 0.020635
[127/5000][165/535][12764] Loss_D: -0.043412 Loss_G: 0.045717 Loss_D_real: -0.039802 Loss_D_fake 0.003610
[127/5000][170/535][12765] Loss_D: -0.043506 Loss_G: -0.007611 Loss_D_real: -0.003564 Loss_D_fake 0.039942
[127/5000][175/535][12766] Loss_D: -0.042045 Loss_G: 0.030752 Loss_D_real: -0.033019 Loss_D_fake 0.009026
[127/5000][180/535][12767] Loss_D: -0.042407 Loss_G: 0.008532 Loss_D_real: -0.009622 Loss_D_fake 0.032786
[127/5000][185/535][12768] Loss_D: -0.042769 Loss_G: 0.027030 Loss_D_real: -0.030614 Loss_D_fake 0.012156
[127/5000][190/535][12769] Loss_D: -0.042570 Loss_G: 0.012508 Loss_D_real: -0.014915 Loss_D_fake 0.027655
[127/5000][195/535][12770] Loss_D: -0.041960 Loss_G: 0.044697 Loss_D_real: -0.041185 Loss_D_fake 0.000776
[127/5000][200/535][12771] Loss_D: -0.045758 Loss_G: 0.015431 Loss_D_real: -0.023655 Loss_D_fake 0.022104
[127/5000][205/535][12772] Loss_D: -0.041136 Loss_G: 0.048399 Loss_D_real: -0.049699 Loss_D_fake -0.008563
[127/5000][210/535][12773] Loss_D: -0.046382 Loss_G: 0.017476 Loss_D_real: -0.025030 Loss_D_fake 0.021352
[127/5000][215/535][12774] Loss_D: -0.045187 Loss_G: 0.025420 Loss_D_real: -0.022669 Loss_D_fake 0.022518
[127/5000][220/535][12775] Loss_D: -0.044266 Loss_G: 0.048050 Loss_D_real: -0.037211 Loss_D_fake 0.007055
[127/5000][225/535][12776] Loss_D: -0.045211 Loss_G: 0.014161 Loss_D_real: -0.019818 Loss_D_fake 0.025393
[127/5000][230/535][12777] Loss_D: -0.041258 Loss_G: 0.041521 Loss_D_real: -0.043745 Loss_D_fake -0.002487
[127/5000][235/535][12778] Loss_D: -0.044756 Loss_G: -0.000631 Loss_D_real: -0.012805 Loss_D_fake 0.031951
[127/5000][240/535][12779] Loss_D: -0.043315 Loss_G: 0.043792 Loss_D_real: -0.045021 Loss_D_fake -0.001706
[127/5000][245/535][12780] Loss_D: -0.044359 Loss_G: 0.017275 Loss_D_real: -0.021461 Loss_D_fake 0.022898
[127/5000][250/535][12781] Loss_D: -0.046339 Loss_G: 0.015067 Loss_D_real: -0.020915 Loss_D_fake 0.025424
[127/5000][255/535][12782] Loss_D: -0.043023 Loss_G: 0.040070 Loss_D_real: -0.039882 Loss_D_fake 0.003141
[127/5000][260/535][12783] Loss_D: -0.045778 Loss_G: 0.033711 Loss_D_real: -0.035440 Loss_D_fake 0.010338
[127/5000][265/535][12784] Loss_D: -0.043597 Loss_G: 0.019531 Loss_D_real: -0.021244 Loss_D_fake 0.022354
[127/5000][270/535][12785] Loss_D: -0.043999 Loss_G: 0.042270 Loss_D_real: -0.041595 Loss_D_fake 0.002404
[127/5000][275/535][12786] Loss_D: -0.042176 Loss_G: 0.004541 Loss_D_real: -0.010506 Loss_D_fake 0.031670
[127/5000][280/535][12787] Loss_D: -0.043799 Loss_G: 0.022861 Loss_D_real: -0.034500 Loss_D_fake 0.009299
[127/5000][285/535][12788] Loss_D: -0.044602 Loss_G: 0.038762 Loss_D_real: -0.032818 Loss_D_fake 0.011785
[127/5000][290/535][12789] Loss_D: -0.045010 Loss_G: 0.017732 Loss_D_real: -0.023224 Loss_D_fake 0.021787
[127/5000][295/535][12790] Loss_D: -0.042451 Loss_G: 0.005021 Loss_D_real: -0.019898 Loss_D_fake 0.022553
[127/5000][300/535][12791] Loss_D: -0.044389 Loss_G: 0.042048 Loss_D_real: -0.037600 Loss_D_fake 0.006789
[127/5000][305/535][12792] Loss_D: -0.042454 Loss_G: 0.005573 Loss_D_real: -0.009530 Loss_D_fake 0.032924
[127/5000][310/535][12793] Loss_D: -0.042869 Loss_G: 0.043752 Loss_D_real: -0.046382 Loss_D_fake -0.003513
[127/5000][315/535][12794] Loss_D: -0.044390 Loss_G: 0.016496 Loss_D_real: -0.022652 Loss_D_fake 0.021738
[127/5000][320/535][12795] Loss_D: -0.043437 Loss_G: 0.033074 Loss_D_real: -0.034489 Loss_D_fake 0.008948
[127/5000][325/535][12796] Loss_D: -0.044265 Loss_G: 0.034818 Loss_D_real: -0.030246 Loss_D_fake 0.014019
[127/5000][330/535][12797] Loss_D: -0.042359 Loss_G: 0.015366 Loss_D_real: -0.021894 Loss_D_fake 0.020465
[127/5000][335/535][12798] Loss_D: -0.041938 Loss_G: 0.017028 Loss_D_real: -0.018362 Loss_D_fake 0.023577
[127/5000][340/535][12799] Loss_D: -0.043076 Loss_G: 0.022577 Loss_D_real: -0.026821 Loss_D_fake 0.016255
[127/5000][345/535][12800] Loss_D: -0.042448 Loss_G: 0.039307 Loss_D_real: -0.030581 Loss_D_fake 0.011867
[127/5000][350/535][12801] Loss_D: -0.044077 Loss_G: 0.019645 Loss_D_real: -0.029156 Loss_D_fake 0.014921
[127/5000][355/535][12802] Loss_D: -0.043557 Loss_G: 0.001595 Loss_D_real: -0.014071 Loss_D_fake 0.029487
[127/5000][360/535][12803] Loss_D: -0.041127 Loss_G: 0.037466 Loss_D_real: -0.040349 Loss_D_fake 0.000778
[127/5000][365/535][12804] Loss_D: -0.043472 Loss_G: 0.017288 Loss_D_real: -0.022520 Loss_D_fake 0.020952
[127/5000][370/535][12805] Loss_D: -0.042960 Loss_G: 0.011161 Loss_D_real: -0.015162 Loss_D_fake 0.027798
[127/5000][375/535][12806] Loss_D: -0.041493 Loss_G: 0.038333 Loss_D_real: -0.034519 Loss_D_fake 0.006974
[127/5000][380/535][12807] Loss_D: -0.043675 Loss_G: 0.040903 Loss_D_real: -0.037513 Loss_D_fake 0.006163
[127/5000][385/535][12808] Loss_D: -0.043110 Loss_G: 0.002883 Loss_D_real: -0.014551 Loss_D_fake 0.028559
[127/5000][390/535][12809] Loss_D: -0.042475 Loss_G: 0.038227 Loss_D_real: -0.041957 Loss_D_fake 0.000518
[127/5000][395/535][12810] Loss_D: -0.039916 Loss_G: 0.008642 Loss_D_real: -0.019359 Loss_D_fake 0.020557
[127/5000][400/535][12811] Loss_D: -0.041470 Loss_G: 0.035574 Loss_D_real: -0.030958 Loss_D_fake 0.010513
[127/5000][405/535][12812] Loss_D: -0.045011 Loss_G: 0.043956 Loss_D_real: -0.042583 Loss_D_fake 0.002428
[127/5000][410/535][12813] Loss_D: -0.043663 Loss_G: -0.009364 Loss_D_real: -0.001908 Loss_D_fake 0.041755
[127/5000][415/535][12814] Loss_D: -0.041997 Loss_G: 0.042789 Loss_D_real: -0.039388 Loss_D_fake 0.002608
[127/5000][420/535][12815] Loss_D: -0.044721 Loss_G: 0.032113 Loss_D_real: -0.026491 Loss_D_fake 0.018230
[127/5000][425/535][12816] Loss_D: -0.047080 Loss_G: 0.033660 Loss_D_real: -0.034725 Loss_D_fake 0.012356
[127/5000][430/535][12817] Loss_D: -0.045514 Loss_G: 0.029653 Loss_D_real: -0.031527 Loss_D_fake 0.013987
[127/5000][435/535][12818] Loss_D: -0.046261 Loss_G: -0.015781 Loss_D_real: -0.004910 Loss_D_fake 0.041351
[127/5000][440/535][12819] Loss_D: -0.041850 Loss_G: 0.031915 Loss_D_real: -0.024496 Loss_D_fake 0.017354
[127/5000][445/535][12820] Loss_D: -0.043067 Loss_G: 0.007013 Loss_D_real: -0.017309 Loss_D_fake 0.025758
[127/5000][450/535][12821] Loss_D: -0.042086 Loss_G: 0.041595 Loss_D_real: -0.043309 Loss_D_fake -0.001223
[127/5000][455/535][12822] Loss_D: -0.043366 Loss_G: -0.000921 Loss_D_real: -0.004833 Loss_D_fake 0.038533
[127/5000][460/535][12823] Loss_D: -0.044724 Loss_G: 0.030686 Loss_D_real: -0.029960 Loss_D_fake 0.014764
[127/5000][465/535][12824] Loss_D: -0.045622 Loss_G: 0.043257 Loss_D_real: -0.039169 Loss_D_fake 0.006453
[127/5000][470/535][12825] Loss_D: -0.043296 Loss_G: 0.023124 Loss_D_real: -0.023522 Loss_D_fake 0.019774
[127/5000][475/535][12826] Loss_D: -0.045583 Loss_G: 0.020924 Loss_D_real: -0.022029 Loss_D_fake 0.023554
[127/5000][480/535][12827] Loss_D: -0.043725 Loss_G: 0.019221 Loss_D_real: -0.024651 Loss_D_fake 0.019074
[127/5000][485/535][12828] Loss_D: -0.044215 Loss_G: 0.013775 Loss_D_real: -0.021229 Loss_D_fake 0.022986
[127/5000][490/535][12829] Loss_D: -0.043674 Loss_G: 0.034780 Loss_D_real: -0.028393 Loss_D_fake 0.015281
[127/5000][495/535][12830] Loss_D: -0.040998 Loss_G: -0.011105 Loss_D_real: -0.006824 Loss_D_fake 0.034173
[127/5000][500/535][12831] Loss_D: -0.040825 Loss_G: 0.032184 Loss_D_real: -0.034770 Loss_D_fake 0.006055
[127/5000][505/535][12832] Loss_D: -0.043508 Loss_G: 0.019774 Loss_D_real: -0.023550 Loss_D_fake 0.019958
[127/5000][510/535][12833] Loss_D: -0.043255 Loss_G: 0.035915 Loss_D_real: -0.032766 Loss_D_fake 0.010489
[127/5000][515/535][12834] Loss_D: -0.042085 Loss_G: -0.014823 Loss_D_real: 0.000812 Loss_D_fake 0.042897
[127/5000][520/535][12835] Loss_D: -0.041504 Loss_G: 0.040344 Loss_D_real: -0.035539 Loss_D_fake 0.005965
[127/5000][525/535][12836] Loss_D: -0.044703 Loss_G: 0.018001 Loss_D_real: -0.020715 Loss_D_fake 0.023988
[127/5000][530/535][12837] Loss_D: -0.044503 Loss_G: 0.040963 Loss_D_real: -0.037316 Loss_D_fake 0.007187
[127/5000][535/535][12838] Loss_D: -0.048028 Loss_G: 0.018302 Loss_D_real: -0.025398 Loss_D_fake 0.022631
[128/5000][5/535][12839] Loss_D: -0.044686 Loss_G: 0.025031 Loss_D_real: -0.028793 Loss_D_fake 0.015893
[128/5000][10/535][12840] Loss_D: -0.042580 Loss_G: 0.056398 Loss_D_real: -0.049071 Loss_D_fake -0.006491
[128/5000][15/535][12841] Loss_D: -0.042893 Loss_G: 0.002375 Loss_D_real: -0.005116 Loss_D_fake 0.037777
[128/5000][20/535][12842] Loss_D: -0.042351 Loss_G: 0.037689 Loss_D_real: -0.037276 Loss_D_fake 0.005075
[128/5000][25/535][12843] Loss_D: -0.046408 Loss_G: 0.033988 Loss_D_real: -0.027748 Loss_D_fake 0.018661
[128/5000][30/535][12844] Loss_D: -0.045507 Loss_G: 0.009929 Loss_D_real: -0.026715 Loss_D_fake 0.018792
[128/5000][35/535][12845] Loss_D: -0.043693 Loss_G: 0.023903 Loss_D_real: -0.028096 Loss_D_fake 0.015598
[128/5000][40/535][12846] Loss_D: -0.045107 Loss_G: 0.020456 Loss_D_real: -0.026571 Loss_D_fake 0.018536
[128/5000][45/535][12847] Loss_D: -0.042072 Loss_G: 0.036865 Loss_D_real: -0.037670 Loss_D_fake 0.004403
[128/5000][50/535][12848] Loss_D: -0.045150 Loss_G: -0.007974 Loss_D_real: -0.012758 Loss_D_fake 0.032391
[128/5000][55/535][12849] Loss_D: -0.040868 Loss_G: 0.046047 Loss_D_real: -0.044890 Loss_D_fake -0.004022
[128/5000][60/535][12850] Loss_D: -0.039687 Loss_G: -0.010403 Loss_D_real: -0.005871 Loss_D_fake 0.033816
[128/5000][65/535][12851] Loss_D: -0.042026 Loss_G: 0.036377 Loss_D_real: -0.042033 Loss_D_fake -0.000008
[128/5000][70/535][12852] Loss_D: -0.041542 Loss_G: 0.013564 Loss_D_real: -0.016324 Loss_D_fake 0.025218
[128/5000][75/535][12853] Loss_D: -0.044275 Loss_G: 0.036103 Loss_D_real: -0.034419 Loss_D_fake 0.009855
[128/5000][80/535][12854] Loss_D: -0.044195 Loss_G: 0.012769 Loss_D_real: -0.014119 Loss_D_fake 0.030076
[128/5000][85/535][12855] Loss_D: -0.044321 Loss_G: 0.014388 Loss_D_real: -0.025966 Loss_D_fake 0.018355
[128/5000][90/535][12856] Loss_D: -0.042535 Loss_G: 0.039985 Loss_D_real: -0.037010 Loss_D_fake 0.005525
[128/5000][95/535][12857] Loss_D: -0.044746 Loss_G: 0.005108 Loss_D_real: -0.013560 Loss_D_fake 0.031186
[128/5000][100/535][12858] Loss_D: -0.042399 Loss_G: 0.043737 Loss_D_real: -0.046099 Loss_D_fake -0.003700
[128/5000][105/535][12859] Loss_D: -0.039675 Loss_G: -0.009587 Loss_D_real: 0.005507 Loss_D_fake 0.045182
[128/5000][110/535][12860] Loss_D: -0.040398 Loss_G: 0.039843 Loss_D_real: -0.040876 Loss_D_fake -0.000478
[128/5000][115/535][12861] Loss_D: -0.043566 Loss_G: 0.013844 Loss_D_real: -0.020652 Loss_D_fake 0.022914
[128/5000][120/535][12862] Loss_D: -0.043727 Loss_G: 0.007420 Loss_D_real: -0.012923 Loss_D_fake 0.030804
[128/5000][125/535][12863] Loss_D: -0.041102 Loss_G: 0.025467 Loss_D_real: -0.027461 Loss_D_fake 0.013641
[128/5000][130/535][12864] Loss_D: -0.041382 Loss_G: 0.017009 Loss_D_real: -0.022736 Loss_D_fake 0.018646
[128/5000][135/535][12865] Loss_D: -0.041579 Loss_G: 0.033179 Loss_D_real: -0.029440 Loss_D_fake 0.012139
[128/5000][140/535][12866] Loss_D: -0.042422 Loss_G: 0.008023 Loss_D_real: -0.015748 Loss_D_fake 0.026674
[128/5000][145/535][12867] Loss_D: -0.041304 Loss_G: 0.032338 Loss_D_real: -0.031899 Loss_D_fake 0.009404
[128/5000][150/535][12868] Loss_D: -0.042047 Loss_G: 0.033714 Loss_D_real: -0.027722 Loss_D_fake 0.014324
[128/5000][155/535][12869] Loss_D: -0.044837 Loss_G: 0.012726 Loss_D_real: -0.022046 Loss_D_fake 0.022791
[128/5000][160/535][12870] Loss_D: -0.044375 Loss_G: 0.047791 Loss_D_real: -0.042114 Loss_D_fake 0.002261
[128/5000][165/535][12871] Loss_D: -0.043908 Loss_G: 0.015133 Loss_D_real: -0.019524 Loss_D_fake 0.024385
[128/5000][170/535][12872] Loss_D: -0.042764 Loss_G: 0.048647 Loss_D_real: -0.040668 Loss_D_fake 0.002096
[128/5000][175/535][12873] Loss_D: -0.042385 Loss_G: -0.010517 Loss_D_real: -0.000272 Loss_D_fake 0.042114
[128/5000][180/535][12874] Loss_D: -0.041566 Loss_G: 0.031336 Loss_D_real: -0.039103 Loss_D_fake 0.002463
[128/5000][185/535][12875] Loss_D: -0.044754 Loss_G: 0.035190 Loss_D_real: -0.031975 Loss_D_fake 0.012779
[128/5000][190/535][12876] Loss_D: -0.044990 Loss_G: 0.012721 Loss_D_real: -0.017329 Loss_D_fake 0.027661
[128/5000][195/535][12877] Loss_D: -0.045700 Loss_G: 0.038773 Loss_D_real: -0.038184 Loss_D_fake 0.007516
[128/5000][200/535][12878] Loss_D: -0.044477 Loss_G: 0.014556 Loss_D_real: -0.023415 Loss_D_fake 0.021062
[128/5000][205/535][12879] Loss_D: -0.047579 Loss_G: 0.047893 Loss_D_real: -0.038560 Loss_D_fake 0.009019
[128/5000][210/535][12880] Loss_D: -0.043172 Loss_G: -0.016910 Loss_D_real: -0.000407 Loss_D_fake 0.042765
[128/5000][215/535][12881] Loss_D: -0.040128 Loss_G: 0.035617 Loss_D_real: -0.038114 Loss_D_fake 0.002014
[128/5000][220/535][12882] Loss_D: -0.042413 Loss_G: 0.011606 Loss_D_real: -0.019436 Loss_D_fake 0.022977
[128/5000][225/535][12883] Loss_D: -0.042663 Loss_G: 0.027452 Loss_D_real: -0.037073 Loss_D_fake 0.005590
[128/5000][230/535][12884] Loss_D: -0.044761 Loss_G: 0.026643 Loss_D_real: -0.029286 Loss_D_fake 0.015476
[128/5000][235/535][12885] Loss_D: -0.044831 Loss_G: 0.031297 Loss_D_real: -0.035837 Loss_D_fake 0.008995
[128/5000][240/535][12886] Loss_D: -0.042994 Loss_G: 0.020397 Loss_D_real: -0.024349 Loss_D_fake 0.018645
[128/5000][245/535][12887] Loss_D: -0.042702 Loss_G: 0.036871 Loss_D_real: -0.040383 Loss_D_fake 0.002319
[128/5000][250/535][12888] Loss_D: -0.042870 Loss_G: -0.012887 Loss_D_real: -0.000665 Loss_D_fake 0.042205
[128/5000][255/535][12889] Loss_D: -0.040617 Loss_G: 0.022713 Loss_D_real: -0.034818 Loss_D_fake 0.005799
[128/5000][260/535][12890] Loss_D: -0.042467 Loss_G: 0.018519 Loss_D_real: -0.018815 Loss_D_fake 0.023652
[128/5000][265/535][12891] Loss_D: -0.039365 Loss_G: 0.041179 Loss_D_real: -0.044274 Loss_D_fake -0.004909
[128/5000][270/535][12892] Loss_D: -0.043481 Loss_G: -0.000449 Loss_D_real: -0.012584 Loss_D_fake 0.030897
[128/5000][275/535][12893] Loss_D: -0.041372 Loss_G: 0.033427 Loss_D_real: -0.032106 Loss_D_fake 0.009267
[128/5000][280/535][12894] Loss_D: -0.042387 Loss_G: 0.020527 Loss_D_real: -0.022330 Loss_D_fake 0.020058
[128/5000][285/535][12895] Loss_D: -0.042232 Loss_G: 0.032417 Loss_D_real: -0.031502 Loss_D_fake 0.010730
[128/5000][290/535][12896] Loss_D: -0.041681 Loss_G: 0.020504 Loss_D_real: -0.018885 Loss_D_fake 0.022796
[128/5000][295/535][12897] Loss_D: -0.041471 Loss_G: 0.040581 Loss_D_real: -0.042861 Loss_D_fake -0.001390
[128/5000][300/535][12898] Loss_D: -0.041383 Loss_G: 0.014581 Loss_D_real: -0.022171 Loss_D_fake 0.019212
[128/5000][305/535][12899] Loss_D: -0.043949 Loss_G: 0.014431 Loss_D_real: -0.024045 Loss_D_fake 0.019904
[128/5000][310/535][12900] Loss_D: -0.041276 Loss_G: 0.045191 Loss_D_real: -0.042427 Loss_D_fake -0.001150
[128/5000][315/535][12901] Loss_D: -0.045679 Loss_G: 0.011360 Loss_D_real: -0.010439 Loss_D_fake 0.035240
[128/5000][320/535][12902] Loss_D: -0.041890 Loss_G: 0.040899 Loss_D_real: -0.036840 Loss_D_fake 0.005051
[128/5000][325/535][12903] Loss_D: -0.042462 Loss_G: 0.037242 Loss_D_real: -0.038075 Loss_D_fake 0.004387
[128/5000][330/535][12904] Loss_D: -0.045245 Loss_G: 0.023788 Loss_D_real: -0.021211 Loss_D_fake 0.024034
[128/5000][335/535][12905] Loss_D: -0.044371 Loss_G: 0.019988 Loss_D_real: -0.022234 Loss_D_fake 0.022137
[128/5000][340/535][12906] Loss_D: -0.042451 Loss_G: 0.010742 Loss_D_real: -0.018645 Loss_D_fake 0.023806
[128/5000][345/535][12907] Loss_D: -0.043082 Loss_G: 0.045146 Loss_D_real: -0.047814 Loss_D_fake -0.004731
[128/5000][350/535][12908] Loss_D: -0.043710 Loss_G: -0.002393 Loss_D_real: -0.011087 Loss_D_fake 0.032623
[128/5000][355/535][12909] Loss_D: -0.039456 Loss_G: 0.046785 Loss_D_real: -0.047367 Loss_D_fake -0.007911
[128/5000][360/535][12910] Loss_D: -0.042743 Loss_G: 0.020741 Loss_D_real: -0.024462 Loss_D_fake 0.018281
[128/5000][365/535][12911] Loss_D: -0.045066 Loss_G: 0.031221 Loss_D_real: -0.035542 Loss_D_fake 0.009524
[128/5000][370/535][12912] Loss_D: -0.046313 Loss_G: 0.039310 Loss_D_real: -0.035980 Loss_D_fake 0.010333
[128/5000][375/535][12913] Loss_D: -0.045894 Loss_G: 0.007735 Loss_D_real: -0.016998 Loss_D_fake 0.028896
[128/5000][380/535][12914] Loss_D: -0.043572 Loss_G: 0.022377 Loss_D_real: -0.024057 Loss_D_fake 0.019515
[128/5000][385/535][12915] Loss_D: -0.043301 Loss_G: 0.007936 Loss_D_real: -0.019163 Loss_D_fake 0.024138
[128/5000][390/535][12916] Loss_D: -0.043643 Loss_G: 0.047660 Loss_D_real: -0.045300 Loss_D_fake -0.001657
[128/5000][395/535][12917] Loss_D: -0.042999 Loss_G: 0.038268 Loss_D_real: -0.034717 Loss_D_fake 0.008283
[128/5000][400/535][12918] Loss_D: -0.045088 Loss_G: 0.037653 Loss_D_real: -0.034919 Loss_D_fake 0.010169
[128/5000][405/535][12919] Loss_D: -0.044461 Loss_G: 0.032964 Loss_D_real: -0.029002 Loss_D_fake 0.015460
[128/5000][410/535][12920] Loss_D: -0.045331 Loss_G: 0.003673 Loss_D_real: -0.018055 Loss_D_fake 0.027276
[128/5000][415/535][12921] Loss_D: -0.044652 Loss_G: 0.042043 Loss_D_real: -0.033114 Loss_D_fake 0.011537
[128/5000][420/535][12922] Loss_D: -0.044993 Loss_G: -0.000568 Loss_D_real: -0.012100 Loss_D_fake 0.032893
[128/5000][425/535][12923] Loss_D: -0.044834 Loss_G: 0.019723 Loss_D_real: -0.033242 Loss_D_fake 0.011592
[128/5000][430/535][12924] Loss_D: -0.042757 Loss_G: 0.050459 Loss_D_real: -0.046119 Loss_D_fake -0.003362
[128/5000][435/535][12925] Loss_D: -0.042299 Loss_G: -0.014234 Loss_D_real: 0.002533 Loss_D_fake 0.044831
[128/5000][440/535][12926] Loss_D: -0.042892 Loss_G: 0.040392 Loss_D_real: -0.040452 Loss_D_fake 0.002440
[128/5000][445/535][12927] Loss_D: -0.044067 Loss_G: 0.009404 Loss_D_real: -0.021190 Loss_D_fake 0.022877
[128/5000][450/535][12928] Loss_D: -0.042290 Loss_G: 0.040424 Loss_D_real: -0.032567 Loss_D_fake 0.009724
[128/5000][455/535][12929] Loss_D: -0.044261 Loss_G: -0.001387 Loss_D_real: -0.010472 Loss_D_fake 0.033789
[128/5000][460/535][12930] Loss_D: -0.044089 Loss_G: 0.033254 Loss_D_real: -0.029230 Loss_D_fake 0.014859
[128/5000][465/535][12931] Loss_D: -0.043571 Loss_G: 0.052097 Loss_D_real: -0.047716 Loss_D_fake -0.004145
[128/5000][470/535][12932] Loss_D: -0.040862 Loss_G: 0.011205 Loss_D_real: -0.010305 Loss_D_fake 0.030557
[128/5000][475/535][12933] Loss_D: -0.044446 Loss_G: 0.035793 Loss_D_real: -0.038890 Loss_D_fake 0.005556
[128/5000][480/535][12934] Loss_D: -0.043518 Loss_G: 0.022868 Loss_D_real: -0.022033 Loss_D_fake 0.021486
[128/5000][485/535][12935] Loss_D: -0.042117 Loss_G: 0.049993 Loss_D_real: -0.043139 Loss_D_fake -0.001022
[128/5000][490/535][12936] Loss_D: -0.044669 Loss_G: 0.009294 Loss_D_real: -0.014241 Loss_D_fake 0.030429
[128/5000][495/535][12937] Loss_D: -0.043244 Loss_G: 0.011043 Loss_D_real: -0.020631 Loss_D_fake 0.022613
[128/5000][500/535][12938] Loss_D: -0.044556 Loss_G: 0.026675 Loss_D_real: -0.031430 Loss_D_fake 0.013127
[128/5000][505/535][12939] Loss_D: -0.044778 Loss_G: 0.009407 Loss_D_real: -0.018036 Loss_D_fake 0.026742
[128/5000][510/535][12940] Loss_D: -0.044006 Loss_G: 0.036129 Loss_D_real: -0.035248 Loss_D_fake 0.008758
[128/5000][515/535][12941] Loss_D: -0.043759 Loss_G: 0.033936 Loss_D_real: -0.032730 Loss_D_fake 0.011029
[128/5000][520/535][12942] Loss_D: -0.041666 Loss_G: 0.003263 Loss_D_real: -0.002717 Loss_D_fake 0.038949
[128/5000][525/535][12943] Loss_D: -0.041583 Loss_G: 0.046531 Loss_D_real: -0.051805 Loss_D_fake -0.010222
[128/5000][530/535][12944] Loss_D: -0.044101 Loss_G: 0.006228 Loss_D_real: -0.007708 Loss_D_fake 0.036393
[128/5000][535/535][12945] Loss_D: -0.046985 Loss_G: 0.010640 Loss_D_real: -0.025540 Loss_D_fake 0.021445
[129/5000][5/535][12946] Loss_D: -0.040299 Loss_G: 0.056534 Loss_D_real: -0.050719 Loss_D_fake -0.010420
[129/5000][10/535][12947] Loss_D: -0.042677 Loss_G: 0.027998 Loss_D_real: -0.030228 Loss_D_fake 0.012450
[129/5000][15/535][12948] Loss_D: -0.043232 Loss_G: -0.000085 Loss_D_real: -0.005130 Loss_D_fake 0.038102
[129/5000][20/535][12949] Loss_D: -0.044168 Loss_G: 0.013484 Loss_D_real: -0.026061 Loss_D_fake 0.018107
[129/5000][25/535][12950] Loss_D: -0.044830 Loss_G: 0.033858 Loss_D_real: -0.039940 Loss_D_fake 0.004890
[129/5000][30/535][12951] Loss_D: -0.044466 Loss_G: 0.042967 Loss_D_real: -0.035102 Loss_D_fake 0.009364
[129/5000][35/535][12952] Loss_D: -0.044064 Loss_G: -0.001911 Loss_D_real: -0.007193 Loss_D_fake 0.036871
[129/5000][40/535][12953] Loss_D: -0.041307 Loss_G: 0.018100 Loss_D_real: -0.026137 Loss_D_fake 0.015171
[129/5000][45/535][12954] Loss_D: -0.042175 Loss_G: 0.025537 Loss_D_real: -0.027231 Loss_D_fake 0.014944
[129/5000][50/535][12955] Loss_D: -0.043768 Loss_G: 0.034826 Loss_D_real: -0.031862 Loss_D_fake 0.011906
[129/5000][55/535][12956] Loss_D: -0.043913 Loss_G: 0.013898 Loss_D_real: -0.017358 Loss_D_fake 0.026554
[129/5000][60/535][12957] Loss_D: -0.045520 Loss_G: 0.016269 Loss_D_real: -0.020078 Loss_D_fake 0.025442
[129/5000][65/535][12958] Loss_D: -0.045754 Loss_G: 0.020261 Loss_D_real: -0.018955 Loss_D_fake 0.026799
[129/5000][70/535][12959] Loss_D: -0.044806 Loss_G: 0.039967 Loss_D_real: -0.037115 Loss_D_fake 0.007691
[129/5000][75/535][12960] Loss_D: -0.043472 Loss_G: -0.007206 Loss_D_real: -0.009172 Loss_D_fake 0.034300
[129/5000][80/535][12961] Loss_D: -0.039554 Loss_G: 0.045883 Loss_D_real: -0.045435 Loss_D_fake -0.005881
[129/5000][85/535][12962] Loss_D: -0.041515 Loss_G: -0.002445 Loss_D_real: -0.006233 Loss_D_fake 0.035283
[129/5000][90/535][12963] Loss_D: -0.044962 Loss_G: 0.028108 Loss_D_real: -0.031645 Loss_D_fake 0.013317
[129/5000][95/535][12964] Loss_D: -0.044452 Loss_G: 0.014572 Loss_D_real: -0.021652 Loss_D_fake 0.022800
[129/5000][100/535][12965] Loss_D: -0.044169 Loss_G: 0.042861 Loss_D_real: -0.040815 Loss_D_fake 0.003354
[129/5000][105/535][12966] Loss_D: -0.045242 Loss_G: 0.022563 Loss_D_real: -0.029180 Loss_D_fake 0.016062
[129/5000][110/535][12967] Loss_D: -0.044265 Loss_G: 0.031130 Loss_D_real: -0.032020 Loss_D_fake 0.012245
[129/5000][115/535][12968] Loss_D: -0.045309 Loss_G: 0.027001 Loss_D_real: -0.029645 Loss_D_fake 0.015664
[129/5000][120/535][12969] Loss_D: -0.039343 Loss_G: 0.043239 Loss_D_real: -0.041450 Loss_D_fake -0.002107
[129/5000][125/535][12970] Loss_D: -0.043216 Loss_G: 0.019528 Loss_D_real: -0.023921 Loss_D_fake 0.019295
[129/5000][130/535][12971] Loss_D: -0.043796 Loss_G: 0.038068 Loss_D_real: -0.039307 Loss_D_fake 0.004489
[129/5000][135/535][12972] Loss_D: -0.041300 Loss_G: -0.002659 Loss_D_real: -0.004536 Loss_D_fake 0.036764
[129/5000][140/535][12973] Loss_D: -0.042386 Loss_G: 0.039226 Loss_D_real: -0.039431 Loss_D_fake 0.002955
[129/5000][145/535][12974] Loss_D: -0.043417 Loss_G: 0.025250 Loss_D_real: -0.029764 Loss_D_fake 0.013653
[129/5000][150/535][12975] Loss_D: -0.044216 Loss_G: 0.021840 Loss_D_real: -0.027094 Loss_D_fake 0.017122
[129/5000][155/535][12976] Loss_D: -0.041574 Loss_G: 0.037767 Loss_D_real: -0.040305 Loss_D_fake 0.001269
[129/5000][160/535][12977] Loss_D: -0.046203 Loss_G: 0.034955 Loss_D_real: -0.028856 Loss_D_fake 0.017347
[129/5000][165/535][12978] Loss_D: -0.045738 Loss_G: 0.031767 Loss_D_real: -0.032588 Loss_D_fake 0.013150
[129/5000][170/535][12979] Loss_D: -0.043255 Loss_G: 0.000499 Loss_D_real: -0.009038 Loss_D_fake 0.034217
[129/5000][175/535][12980] Loss_D: -0.042673 Loss_G: 0.050859 Loss_D_real: -0.045252 Loss_D_fake -0.002579
[129/5000][180/535][12981] Loss_D: -0.042640 Loss_G: 0.008080 Loss_D_real: -0.012219 Loss_D_fake 0.030421
[129/5000][185/535][12982] Loss_D: -0.041072 Loss_G: 0.038491 Loss_D_real: -0.038264 Loss_D_fake 0.002809
[129/5000][190/535][12983] Loss_D: -0.045736 Loss_G: 0.012726 Loss_D_real: -0.017763 Loss_D_fake 0.027973
[129/5000][195/535][12984] Loss_D: -0.043967 Loss_G: 0.033301 Loss_D_real: -0.031083 Loss_D_fake 0.012885
[129/5000][200/535][12985] Loss_D: -0.042895 Loss_G: 0.032092 Loss_D_real: -0.032653 Loss_D_fake 0.010242
[129/5000][205/535][12986] Loss_D: -0.044479 Loss_G: 0.019258 Loss_D_real: -0.020273 Loss_D_fake 0.024206
[129/5000][210/535][12987] Loss_D: -0.045230 Loss_G: 0.032485 Loss_D_real: -0.027707 Loss_D_fake 0.017523
[129/5000][215/535][12988] Loss_D: -0.043242 Loss_G: 0.038911 Loss_D_real: -0.027546 Loss_D_fake 0.015695
[129/5000][220/535][12989] Loss_D: -0.042104 Loss_G: -0.000735 Loss_D_real: -0.007156 Loss_D_fake 0.034949
[129/5000][225/535][12990] Loss_D: -0.039911 Loss_G: 0.039008 Loss_D_real: -0.037960 Loss_D_fake 0.001950
[129/5000][230/535][12991] Loss_D: -0.042559 Loss_G: 0.009043 Loss_D_real: -0.005816 Loss_D_fake 0.036743
[129/5000][235/535][12992] Loss_D: -0.043379 Loss_G: 0.024284 Loss_D_real: -0.024405 Loss_D_fake 0.018974
[129/5000][240/535][12993] Loss_D: -0.042652 Loss_G: 0.014265 Loss_D_real: -0.010455 Loss_D_fake 0.032197
[129/5000][245/535][12994] Loss_D: -0.042801 Loss_G: 0.041010 Loss_D_real: -0.042020 Loss_D_fake 0.000781
[129/5000][250/535][12995] Loss_D: -0.042283 Loss_G: 0.006087 Loss_D_real: -0.012930 Loss_D_fake 0.029353
[129/5000][255/535][12996] Loss_D: -0.043510 Loss_G: 0.020441 Loss_D_real: -0.025646 Loss_D_fake 0.017864
[129/5000][260/535][12997] Loss_D: -0.041637 Loss_G: 0.039339 Loss_D_real: -0.039152 Loss_D_fake 0.002485
[129/5000][265/535][12998] Loss_D: -0.045858 Loss_G: 0.042014 Loss_D_real: -0.036928 Loss_D_fake 0.008931
[129/5000][270/535][12999] Loss_D: -0.043395 Loss_G: 0.000938 Loss_D_real: -0.011751 Loss_D_fake 0.031644
[129/5000][275/535][13000] Loss_D: -0.044047 Loss_G: 0.035941 Loss_D_real: -0.040866 Loss_D_fake 0.003181
[129/5000][375/535][13001] Loss_D: -0.044769 Loss_G: -0.005247 Loss_D_real: 0.001376 Loss_D_fake 0.046145
[129/5000][380/535][13002] Loss_D: -0.042458 Loss_G: 0.029929 Loss_D_real: -0.028949 Loss_D_fake 0.013509
[129/5000][385/535][13003] Loss_D: -0.041853 Loss_G: 0.027419 Loss_D_real: -0.029529 Loss_D_fake 0.012324
[129/5000][390/535][13004] Loss_D: -0.044407 Loss_G: 0.037751 Loss_D_real: -0.035420 Loss_D_fake 0.008987
[129/5000][395/535][13005] Loss_D: -0.040491 Loss_G: 0.013425 Loss_D_real: -0.018755 Loss_D_fake 0.021736
[129/5000][400/535][13006] Loss_D: -0.044002 Loss_G: 0.031185 Loss_D_real: -0.029526 Loss_D_fake 0.014476
[129/5000][405/535][13007] Loss_D: -0.042448 Loss_G: 0.005936 Loss_D_real: -0.017232 Loss_D_fake 0.025216
[129/5000][410/535][13008] Loss_D: -0.043241 Loss_G: 0.044620 Loss_D_real: -0.042634 Loss_D_fake 0.000607
[129/5000][415/535][13009] Loss_D: -0.044156 Loss_G: 0.005682 Loss_D_real: -0.014643 Loss_D_fake 0.029513
[129/5000][420/535][13010] Loss_D: -0.043592 Loss_G: 0.019749 Loss_D_real: -0.026248 Loss_D_fake 0.017344
[129/5000][425/535][13011] Loss_D: -0.042973 Loss_G: 0.037571 Loss_D_real: -0.036044 Loss_D_fake 0.006929
[129/5000][430/535][13012] Loss_D: -0.043105 Loss_G: 0.003606 Loss_D_real: -0.017427 Loss_D_fake 0.025678
[129/5000][435/535][13013] Loss_D: -0.041897 Loss_G: 0.028402 Loss_D_real: -0.028781 Loss_D_fake 0.013117
[129/5000][440/535][13014] Loss_D: -0.043005 Loss_G: 0.012743 Loss_D_real: -0.021345 Loss_D_fake 0.021661
[129/5000][445/535][13015] Loss_D: -0.045078 Loss_G: 0.025701 Loss_D_real: -0.030559 Loss_D_fake 0.014520
[129/5000][450/535][13016] Loss_D: -0.043443 Loss_G: 0.011927 Loss_D_real: -0.018507 Loss_D_fake 0.024936
[129/5000][455/535][13017] Loss_D: -0.041859 Loss_G: 0.022338 Loss_D_real: -0.023258 Loss_D_fake 0.018601
[129/5000][460/535][13018] Loss_D: -0.041587 Loss_G: 0.007442 Loss_D_real: -0.019333 Loss_D_fake 0.022254
[129/5000][465/535][13019] Loss_D: -0.041670 Loss_G: 0.027081 Loss_D_real: -0.030199 Loss_D_fake 0.011471
[129/5000][470/535][13020] Loss_D: -0.044643 Loss_G: 0.009830 Loss_D_real: -0.021420 Loss_D_fake 0.023223
[129/5000][475/535][13021] Loss_D: -0.044078 Loss_G: 0.034521 Loss_D_real: -0.037890 Loss_D_fake 0.006188
[129/5000][480/535][13022] Loss_D: -0.042233 Loss_G: 0.008714 Loss_D_real: -0.008730 Loss_D_fake 0.033503
[129/5000][485/535][13023] Loss_D: -0.043586 Loss_G: 0.012346 Loss_D_real: -0.020761 Loss_D_fake 0.022825
[129/5000][490/535][13024] Loss_D: -0.044345 Loss_G: 0.041651 Loss_D_real: -0.041734 Loss_D_fake 0.002611
[129/5000][495/535][13025] Loss_D: -0.042328 Loss_G: -0.002502 Loss_D_real: -0.002556 Loss_D_fake 0.039773
[129/5000][500/535][13026] Loss_D: -0.041580 Loss_G: 0.029232 Loss_D_real: -0.038749 Loss_D_fake 0.002830
[129/5000][505/535][13027] Loss_D: -0.042659 Loss_G: 0.022133 Loss_D_real: -0.020991 Loss_D_fake 0.021667
[129/5000][510/535][13028] Loss_D: -0.045723 Loss_G: 0.032174 Loss_D_real: -0.032673 Loss_D_fake 0.013050
[129/5000][515/535][13029] Loss_D: -0.044227 Loss_G: -0.012262 Loss_D_real: -0.008506 Loss_D_fake 0.035720
[129/5000][520/535][13030] Loss_D: -0.041055 Loss_G: 0.048135 Loss_D_real: -0.039586 Loss_D_fake 0.001469
[129/5000][525/535][13031] Loss_D: -0.042614 Loss_G: 0.004548 Loss_D_real: -0.015135 Loss_D_fake 0.027479
[129/5000][530/535][13032] Loss_D: -0.042259 Loss_G: 0.042329 Loss_D_real: -0.039389 Loss_D_fake 0.002870
[129/5000][535/535][13033] Loss_D: -0.042077 Loss_G: 0.028535 Loss_D_real: -0.021197 Loss_D_fake 0.020881
[130/5000][5/535][13034] Loss_D: -0.043510 Loss_G: 0.030633 Loss_D_real: -0.027612 Loss_D_fake 0.015898
[130/5000][10/535][13035] Loss_D: -0.044379 Loss_G: 0.029428 Loss_D_real: -0.027886 Loss_D_fake 0.016493
[130/5000][15/535][13036] Loss_D: -0.042991 Loss_G: 0.016530 Loss_D_real: -0.020358 Loss_D_fake 0.022633
[130/5000][20/535][13037] Loss_D: -0.046360 Loss_G: 0.010717 Loss_D_real: -0.023837 Loss_D_fake 0.022523
[130/5000][25/535][13038] Loss_D: -0.043489 Loss_G: 0.046629 Loss_D_real: -0.045833 Loss_D_fake -0.002344
[130/5000][30/535][13039] Loss_D: -0.045303 Loss_G: 0.011092 Loss_D_real: -0.020070 Loss_D_fake 0.025234
[130/5000][35/535][13040] Loss_D: -0.041688 Loss_G: 0.050406 Loss_D_real: -0.049986 Loss_D_fake -0.008298
[130/5000][40/535][13041] Loss_D: -0.041763 Loss_G: -0.004071 Loss_D_real: -0.007749 Loss_D_fake 0.034014
[130/5000][45/535][13042] Loss_D: -0.041112 Loss_G: 0.031458 Loss_D_real: -0.032559 Loss_D_fake 0.008553
[130/5000][50/535][13043] Loss_D: -0.042988 Loss_G: 0.005996 Loss_D_real: -0.017821 Loss_D_fake 0.025167
[130/5000][55/535][13044] Loss_D: -0.044360 Loss_G: 0.037336 Loss_D_real: -0.038528 Loss_D_fake 0.005833
[130/5000][60/535][13045] Loss_D: -0.045438 Loss_G: 0.015047 Loss_D_real: -0.019535 Loss_D_fake 0.025903
[130/5000][65/535][13046] Loss_D: -0.043364 Loss_G: 0.033776 Loss_D_real: -0.033713 Loss_D_fake 0.009650
[130/5000][70/535][13047] Loss_D: -0.045793 Loss_G: 0.022681 Loss_D_real: -0.023698 Loss_D_fake 0.022095
[130/5000][75/535][13048] Loss_D: -0.042146 Loss_G: 0.033568 Loss_D_real: -0.031650 Loss_D_fake 0.010495
[130/5000][80/535][13049] Loss_D: -0.043109 Loss_G: 0.013394 Loss_D_real: -0.020246 Loss_D_fake 0.022863
[130/5000][85/535][13050] Loss_D: -0.043282 Loss_G: 0.005991 Loss_D_real: -0.013067 Loss_D_fake 0.030216
[130/5000][90/535][13051] Loss_D: -0.044164 Loss_G: 0.024432 Loss_D_real: -0.028795 Loss_D_fake 0.015370
[130/5000][95/535][13052] Loss_D: -0.041422 Loss_G: 0.000228 Loss_D_real: -0.010321 Loss_D_fake 0.031101
[130/5000][100/535][13053] Loss_D: -0.041158 Loss_G: 0.043973 Loss_D_real: -0.041620 Loss_D_fake -0.000462
[130/5000][105/535][13054] Loss_D: -0.041525 Loss_G: 0.007297 Loss_D_real: -0.012944 Loss_D_fake 0.028581
[130/5000][110/535][13055] Loss_D: -0.041821 Loss_G: 0.034693 Loss_D_real: -0.031989 Loss_D_fake 0.009832
[130/5000][115/535][13056] Loss_D: -0.044545 Loss_G: 0.011404 Loss_D_real: -0.018753 Loss_D_fake 0.025793
[130/5000][120/535][13057] Loss_D: -0.044315 Loss_G: 0.039272 Loss_D_real: -0.041514 Loss_D_fake 0.002801
[130/5000][125/535][13058] Loss_D: -0.040398 Loss_G: 0.005039 Loss_D_real: -0.011423 Loss_D_fake 0.028975
[130/5000][130/535][13059] Loss_D: -0.043389 Loss_G: 0.032219 Loss_D_real: -0.031443 Loss_D_fake 0.011946
[130/5000][135/535][13060] Loss_D: -0.043703 Loss_G: 0.049898 Loss_D_real: -0.040074 Loss_D_fake 0.003630
[130/5000][140/535][13061] Loss_D: -0.045565 Loss_G: 0.025340 Loss_D_real: -0.021436 Loss_D_fake 0.024128
[130/5000][145/535][13062] Loss_D: -0.043213 Loss_G: 0.036501 Loss_D_real: -0.036703 Loss_D_fake 0.006510
[130/5000][150/535][13063] Loss_D: -0.042467 Loss_G: 0.043739 Loss_D_real: -0.038848 Loss_D_fake 0.003620
[130/5000][155/535][13064] Loss_D: -0.045650 Loss_G: 0.015329 Loss_D_real: -0.020752 Loss_D_fake 0.024898
[130/5000][160/535][13065] Loss_D: -0.044766 Loss_G: 0.044604 Loss_D_real: -0.045393 Loss_D_fake -0.000628
[130/5000][165/535][13066] Loss_D: -0.040606 Loss_G: 0.004630 Loss_D_real: -0.009750 Loss_D_fake 0.030856
[130/5000][170/535][13067] Loss_D: -0.040953 Loss_G: 0.038217 Loss_D_real: -0.039111 Loss_D_fake 0.001842
[130/5000][175/535][13068] Loss_D: -0.042035 Loss_G: -0.004802 Loss_D_real: -0.006921 Loss_D_fake 0.035114
[130/5000][180/535][13069] Loss_D: -0.041963 Loss_G: 0.034354 Loss_D_real: -0.035483 Loss_D_fake 0.006480
[130/5000][185/535][13070] Loss_D: -0.044745 Loss_G: 0.018216 Loss_D_real: -0.019030 Loss_D_fake 0.025714
[130/5000][190/535][13071] Loss_D: -0.042545 Loss_G: 0.028715 Loss_D_real: -0.033064 Loss_D_fake 0.009481
[130/5000][195/535][13072] Loss_D: -0.043270 Loss_G: 0.035877 Loss_D_real: -0.026459 Loss_D_fake 0.016811
[130/5000][200/535][13073] Loss_D: -0.045227 Loss_G: 0.016785 Loss_D_real: -0.020017 Loss_D_fake 0.025210
[130/5000][205/535][13074] Loss_D: -0.043520 Loss_G: 0.025910 Loss_D_real: -0.030468 Loss_D_fake 0.013052
[130/5000][210/535][13075] Loss_D: -0.044807 Loss_G: 0.054229 Loss_D_real: -0.048761 Loss_D_fake -0.003954
[130/5000][215/535][13076] Loss_D: -0.043050 Loss_G: -0.003683 Loss_D_real: -0.003909 Loss_D_fake 0.039141
[130/5000][220/535][13077] Loss_D: -0.042205 Loss_G: 0.031802 Loss_D_real: -0.030784 Loss_D_fake 0.011421
[130/5000][225/535][13078] Loss_D: -0.042213 Loss_G: 0.004968 Loss_D_real: -0.014295 Loss_D_fake 0.027918
[130/5000][230/535][13079] Loss_D: -0.042803 Loss_G: 0.040884 Loss_D_real: -0.044328 Loss_D_fake -0.001524
[130/5000][235/535][13080] Loss_D: -0.043446 Loss_G: 0.025561 Loss_D_real: -0.033793 Loss_D_fake 0.009653
[130/5000][240/535][13081] Loss_D: -0.045723 Loss_G: 0.046474 Loss_D_real: -0.042322 Loss_D_fake 0.003401
[130/5000][245/535][13082] Loss_D: -0.044101 Loss_G: -0.011596 Loss_D_real: -0.009963 Loss_D_fake 0.034138
[130/5000][250/535][13083] Loss_D: -0.040140 Loss_G: 0.040107 Loss_D_real: -0.046978 Loss_D_fake -0.006838
[130/5000][255/535][13084] Loss_D: -0.044701 Loss_G: 0.031421 Loss_D_real: -0.031936 Loss_D_fake 0.012765
[130/5000][260/535][13085] Loss_D: -0.043881 Loss_G: 0.004259 Loss_D_real: -0.016260 Loss_D_fake 0.027621
[130/5000][265/535][13086] Loss_D: -0.043130 Loss_G: 0.039129 Loss_D_real: -0.042794 Loss_D_fake 0.000336
[130/5000][270/535][13087] Loss_D: -0.044790 Loss_G: 0.010187 Loss_D_real: -0.015099 Loss_D_fake 0.029691
[130/5000][275/535][13088] Loss_D: -0.044967 Loss_G: 0.025795 Loss_D_real: -0.020432 Loss_D_fake 0.024535
[130/5000][280/535][13089] Loss_D: -0.044300 Loss_G: 0.045802 Loss_D_real: -0.040275 Loss_D_fake 0.004025
[130/5000][285/535][13090] Loss_D: -0.042410 Loss_G: 0.023065 Loss_D_real: -0.020162 Loss_D_fake 0.022248
[130/5000][290/535][13091] Loss_D: -0.044308 Loss_G: 0.031920 Loss_D_real: -0.037362 Loss_D_fake 0.006946
[130/5000][295/535][13092] Loss_D: -0.041333 Loss_G: -0.014131 Loss_D_real: -0.001365 Loss_D_fake 0.039968
[130/5000][300/535][13093] Loss_D: -0.040426 Loss_G: 0.027884 Loss_D_real: -0.029374 Loss_D_fake 0.011052
[130/5000][305/535][13094] Loss_D: -0.041842 Loss_G: 0.003278 Loss_D_real: -0.007480 Loss_D_fake 0.034363
[130/5000][310/535][13095] Loss_D: -0.042402 Loss_G: 0.043631 Loss_D_real: -0.037531 Loss_D_fake 0.004871
[130/5000][315/535][13096] Loss_D: -0.045110 Loss_G: 0.034095 Loss_D_real: -0.033342 Loss_D_fake 0.011768
[130/5000][320/535][13097] Loss_D: -0.043334 Loss_G: 0.002487 Loss_D_real: -0.010472 Loss_D_fake 0.032862
[130/5000][325/535][13098] Loss_D: -0.042139 Loss_G: 0.019077 Loss_D_real: -0.020914 Loss_D_fake 0.021224
[130/5000][330/535][13099] Loss_D: -0.043323 Loss_G: 0.000166 Loss_D_real: -0.010171 Loss_D_fake 0.033152
[130/5000][335/535][13100] Loss_D: -0.039831 Loss_G: 0.042440 Loss_D_real: -0.045003 Loss_D_fake -0.005171
[130/5000][340/535][13101] Loss_D: -0.042752 Loss_G: 0.016068 Loss_D_real: -0.020709 Loss_D_fake 0.022042
[130/5000][345/535][13102] Loss_D: -0.044684 Loss_G: 0.032250 Loss_D_real: -0.030228 Loss_D_fake 0.014456
[130/5000][350/535][13103] Loss_D: -0.046059 Loss_G: 0.017188 Loss_D_real: -0.021032 Loss_D_fake 0.025027
[130/5000][355/535][13104] Loss_D: -0.041277 Loss_G: -0.008261 Loss_D_real: 0.002410 Loss_D_fake 0.043687
[130/5000][360/535][13105] Loss_D: -0.041844 Loss_G: 0.038476 Loss_D_real: -0.040947 Loss_D_fake 0.000897
[130/5000][365/535][13106] Loss_D: -0.041910 Loss_G: 0.022691 Loss_D_real: -0.025394 Loss_D_fake 0.016516
[130/5000][370/535][13107] Loss_D: -0.044224 Loss_G: 0.032005 Loss_D_real: -0.032553 Loss_D_fake 0.011672
[130/5000][375/535][13108] Loss_D: -0.041721 Loss_G: 0.042890 Loss_D_real: -0.043485 Loss_D_fake -0.001764
[130/5000][380/535][13109] Loss_D: -0.042654 Loss_G: 0.017269 Loss_D_real: -0.020164 Loss_D_fake 0.022490
[130/5000][385/535][13110] Loss_D: -0.039534 Loss_G: 0.047810 Loss_D_real: -0.049273 Loss_D_fake -0.009739
[130/5000][390/535][13111] Loss_D: -0.042609 Loss_G: -0.012958 Loss_D_real: -0.004266 Loss_D_fake 0.038343
[130/5000][395/535][13112] Loss_D: -0.040360 Loss_G: 0.026776 Loss_D_real: -0.031993 Loss_D_fake 0.008367
[130/5000][400/535][13113] Loss_D: -0.042444 Loss_G: 0.041280 Loss_D_real: -0.040073 Loss_D_fake 0.002371
[130/5000][405/535][13114] Loss_D: -0.042617 Loss_G: 0.009260 Loss_D_real: -0.020230 Loss_D_fake 0.022387
[130/5000][410/535][13115] Loss_D: -0.043580 Loss_G: 0.036178 Loss_D_real: -0.040864 Loss_D_fake 0.002715
[130/5000][415/535][13116] Loss_D: -0.044566 Loss_G: 0.025710 Loss_D_real: -0.023501 Loss_D_fake 0.021065
[130/5000][420/535][13117] Loss_D: -0.045493 Loss_G: 0.015145 Loss_D_real: -0.024261 Loss_D_fake 0.021232
[130/5000][425/535][13118] Loss_D: -0.042014 Loss_G: 0.037881 Loss_D_real: -0.039472 Loss_D_fake 0.002542
[130/5000][430/535][13119] Loss_D: -0.044035 Loss_G: 0.015679 Loss_D_real: -0.019759 Loss_D_fake 0.024277
[130/5000][435/535][13120] Loss_D: -0.043336 Loss_G: 0.034941 Loss_D_real: -0.030519 Loss_D_fake 0.012817
[130/5000][440/535][13121] Loss_D: -0.043823 Loss_G: 0.022057 Loss_D_real: -0.030890 Loss_D_fake 0.012933
[130/5000][445/535][13122] Loss_D: -0.044138 Loss_G: 0.032117 Loss_D_real: -0.026028 Loss_D_fake 0.018110
[130/5000][450/535][13123] Loss_D: -0.042113 Loss_G: 0.010177 Loss_D_real: -0.017280 Loss_D_fake 0.024832
[130/5000][455/535][13124] Loss_D: -0.042306 Loss_G: 0.032390 Loss_D_real: -0.034089 Loss_D_fake 0.008217
[130/5000][460/535][13125] Loss_D: -0.043493 Loss_G: 0.026923 Loss_D_real: -0.025658 Loss_D_fake 0.017835
[130/5000][465/535][13126] Loss_D: -0.043347 Loss_G: 0.034161 Loss_D_real: -0.031515 Loss_D_fake 0.011832
[130/5000][470/535][13127] Loss_D: -0.042532 Loss_G: 0.003920 Loss_D_real: -0.017528 Loss_D_fake 0.025004
[130/5000][475/535][13128] Loss_D: -0.041922 Loss_G: 0.036817 Loss_D_real: -0.037303 Loss_D_fake 0.004619
[130/5000][480/535][13129] Loss_D: -0.041906 Loss_G: 0.014949 Loss_D_real: -0.013587 Loss_D_fake 0.028320
[130/5000][485/535][13130] Loss_D: -0.042497 Loss_G: 0.015327 Loss_D_real: -0.018754 Loss_D_fake 0.023743
[130/5000][490/535][13131] Loss_D: -0.044302 Loss_G: 0.033747 Loss_D_real: -0.031044 Loss_D_fake 0.013259
[130/5000][495/535][13132] Loss_D: -0.044959 Loss_G: 0.014242 Loss_D_real: -0.017720 Loss_D_fake 0.027238
[130/5000][500/535][13133] Loss_D: -0.045017 Loss_G: 0.035959 Loss_D_real: -0.028274 Loss_D_fake 0.016743
[130/5000][505/535][13134] Loss_D: -0.044412 Loss_G: 0.028705 Loss_D_real: -0.028400 Loss_D_fake 0.016012
[130/5000][510/535][13135] Loss_D: -0.046291 Loss_G: 0.009785 Loss_D_real: -0.018438 Loss_D_fake 0.027852
[130/5000][515/535][13136] Loss_D: -0.043585 Loss_G: 0.041485 Loss_D_real: -0.038843 Loss_D_fake 0.004742
[130/5000][520/535][13137] Loss_D: -0.043776 Loss_G: 0.042527 Loss_D_real: -0.034564 Loss_D_fake 0.009212
[130/5000][525/535][13138] Loss_D: -0.043226 Loss_G: 0.010720 Loss_D_real: -0.013405 Loss_D_fake 0.029821
[130/5000][530/535][13139] Loss_D: -0.042914 Loss_G: 0.022175 Loss_D_real: -0.020684 Loss_D_fake 0.022229
[130/5000][535/535][13140] Loss_D: -0.040919 Loss_G: 0.050301 Loss_D_real: -0.042777 Loss_D_fake -0.001858
[131/5000][5/535][13141] Loss_D: -0.045429 Loss_G: 0.018244 Loss_D_real: -0.025258 Loss_D_fake 0.020170
[131/5000][10/535][13142] Loss_D: -0.044875 Loss_G: 0.040374 Loss_D_real: -0.031527 Loss_D_fake 0.013348
[131/5000][15/535][13143] Loss_D: -0.044686 Loss_G: -0.006130 Loss_D_real: -0.012355 Loss_D_fake 0.032331
[131/5000][20/535][13144] Loss_D: -0.042069 Loss_G: 0.040471 Loss_D_real: -0.039294 Loss_D_fake 0.002775
[131/5000][25/535][13145] Loss_D: -0.042091 Loss_G: -0.012182 Loss_D_real: -0.004695 Loss_D_fake 0.037396
[131/5000][30/535][13146] Loss_D: -0.039560 Loss_G: 0.045187 Loss_D_real: -0.038845 Loss_D_fake 0.000715
[131/5000][35/535][13147] Loss_D: -0.041648 Loss_G: -0.000969 Loss_D_real: -0.006773 Loss_D_fake 0.034875
[131/5000][40/535][13148] Loss_D: -0.043661 Loss_G: 0.027569 Loss_D_real: -0.027570 Loss_D_fake 0.016092
[131/5000][45/535][13149] Loss_D: -0.045010 Loss_G: 0.025831 Loss_D_real: -0.034967 Loss_D_fake 0.010043
[131/5000][50/535][13150] Loss_D: -0.046112 Loss_G: -0.003285 Loss_D_real: -0.017232 Loss_D_fake 0.028880
[131/5000][55/535][13151] Loss_D: -0.045250 Loss_G: 0.046610 Loss_D_real: -0.038847 Loss_D_fake 0.006403
[131/5000][60/535][13152] Loss_D: -0.045418 Loss_G: 0.027642 Loss_D_real: -0.030292 Loss_D_fake 0.015126
[131/5000][65/535][13153] Loss_D: -0.046530 Loss_G: 0.032489 Loss_D_real: -0.035974 Loss_D_fake 0.010556
[131/5000][70/535][13154] Loss_D: -0.044116 Loss_G: 0.023565 Loss_D_real: -0.025105 Loss_D_fake 0.019011
[131/5000][75/535][13155] Loss_D: -0.043406 Loss_G: 0.031473 Loss_D_real: -0.035730 Loss_D_fake 0.007676
[131/5000][80/535][13156] Loss_D: -0.042810 Loss_G: -0.003560 Loss_D_real: -0.005557 Loss_D_fake 0.037253
[131/5000][85/535][13157] Loss_D: -0.043087 Loss_G: 0.012181 Loss_D_real: -0.026858 Loss_D_fake 0.016229
[131/5000][90/535][13158] Loss_D: -0.039813 Loss_G: 0.037889 Loss_D_real: -0.039213 Loss_D_fake 0.000600
[131/5000][95/535][13159] Loss_D: -0.041663 Loss_G: -0.001592 Loss_D_real: -0.004802 Loss_D_fake 0.036861
[131/5000][100/535][13160] Loss_D: -0.043175 Loss_G: 0.027278 Loss_D_real: -0.028547 Loss_D_fake 0.014628
[131/5000][105/535][13161] Loss_D: -0.042758 Loss_G: 0.055265 Loss_D_real: -0.048566 Loss_D_fake -0.005808
[131/5000][110/535][13162] Loss_D: -0.041345 Loss_G: -0.010683 Loss_D_real: 0.001370 Loss_D_fake 0.042715
[131/5000][115/535][13163] Loss_D: -0.042729 Loss_G: 0.028473 Loss_D_real: -0.033100 Loss_D_fake 0.009629
[131/5000][120/535][13164] Loss_D: -0.042632 Loss_G: 0.030306 Loss_D_real: -0.042217 Loss_D_fake 0.000415
[131/5000][125/535][13165] Loss_D: -0.042050 Loss_G: 0.043848 Loss_D_real: -0.041689 Loss_D_fake 0.000361
[131/5000][130/535][13166] Loss_D: -0.043028 Loss_G: 0.018992 Loss_D_real: -0.021047 Loss_D_fake 0.021981
[131/5000][135/535][13167] Loss_D: -0.044904 Loss_G: 0.014279 Loss_D_real: -0.020421 Loss_D_fake 0.024483
[131/5000][140/535][13168] Loss_D: -0.043294 Loss_G: 0.052283 Loss_D_real: -0.046592 Loss_D_fake -0.003298
[131/5000][145/535][13169] Loss_D: -0.042706 Loss_G: -0.002407 Loss_D_real: -0.009713 Loss_D_fake 0.032994
[131/5000][150/535][13170] Loss_D: -0.043328 Loss_G: 0.027970 Loss_D_real: -0.027127 Loss_D_fake 0.016201
[131/5000][155/535][13171] Loss_D: -0.044618 Loss_G: 0.028388 Loss_D_real: -0.026464 Loss_D_fake 0.018155
[131/5000][160/535][13172] Loss_D: -0.044577 Loss_G: 0.009791 Loss_D_real: -0.020577 Loss_D_fake 0.024000
[131/5000][165/535][13173] Loss_D: -0.043024 Loss_G: 0.036525 Loss_D_real: -0.028859 Loss_D_fake 0.014165
[131/5000][170/535][13174] Loss_D: -0.041955 Loss_G: 0.022042 Loss_D_real: -0.022507 Loss_D_fake 0.019449
[131/5000][175/535][13175] Loss_D: -0.043626 Loss_G: 0.028990 Loss_D_real: -0.032224 Loss_D_fake 0.011403
[131/5000][180/535][13176] Loss_D: -0.043195 Loss_G: 0.044747 Loss_D_real: -0.035502 Loss_D_fake 0.007692
[131/5000][185/535][13177] Loss_D: -0.039729 Loss_G: -0.009310 Loss_D_real: 0.006808 Loss_D_fake 0.046537
[131/5000][190/535][13178] Loss_D: -0.041588 Loss_G: 0.018191 Loss_D_real: -0.024430 Loss_D_fake 0.017158
[131/5000][195/535][13179] Loss_D: -0.040722 Loss_G: 0.037317 Loss_D_real: -0.043362 Loss_D_fake -0.002640
[131/5000][200/535][13180] Loss_D: -0.046046 Loss_G: 0.038060 Loss_D_real: -0.032039 Loss_D_fake 0.014007
[131/5000][205/535][13181] Loss_D: -0.043995 Loss_G: 0.012206 Loss_D_real: -0.017258 Loss_D_fake 0.026737
[131/5000][210/535][13182] Loss_D: -0.042718 Loss_G: 0.025634 Loss_D_real: -0.033012 Loss_D_fake 0.009706
[131/5000][215/535][13183] Loss_D: -0.043945 Loss_G: 0.008912 Loss_D_real: -0.021046 Loss_D_fake 0.022899
[131/5000][220/535][13184] Loss_D: -0.044413 Loss_G: 0.027609 Loss_D_real: -0.033541 Loss_D_fake 0.010871
[131/5000][225/535][13185] Loss_D: -0.043210 Loss_G: 0.000933 Loss_D_real: -0.014749 Loss_D_fake 0.028461
[131/5000][230/535][13186] Loss_D: -0.040718 Loss_G: 0.038747 Loss_D_real: -0.037684 Loss_D_fake 0.003035
[131/5000][235/535][13187] Loss_D: -0.039259 Loss_G: 0.009234 Loss_D_real: -0.014222 Loss_D_fake 0.025038
[131/5000][240/535][13188] Loss_D: -0.043268 Loss_G: 0.034336 Loss_D_real: -0.031589 Loss_D_fake 0.011679
[131/5000][245/535][13189] Loss_D: -0.041425 Loss_G: -0.000694 Loss_D_real: -0.012750 Loss_D_fake 0.028676
[131/5000][250/535][13190] Loss_D: -0.040820 Loss_G: 0.036791 Loss_D_real: -0.033054 Loss_D_fake 0.007766
[131/5000][255/535][13191] Loss_D: -0.042391 Loss_G: 0.011742 Loss_D_real: -0.017158 Loss_D_fake 0.025233
[131/5000][260/535][13192] Loss_D: -0.044037 Loss_G: 0.025802 Loss_D_real: -0.026469 Loss_D_fake 0.017568
[131/5000][265/535][13193] Loss_D: -0.042939 Loss_G: 0.001526 Loss_D_real: -0.013485 Loss_D_fake 0.029454
[131/5000][270/535][13194] Loss_D: -0.042502 Loss_G: 0.020936 Loss_D_real: -0.027544 Loss_D_fake 0.014958
[131/5000][275/535][13195] Loss_D: -0.043053 Loss_G: 0.006003 Loss_D_real: -0.016021 Loss_D_fake 0.027032
[131/5000][280/535][13196] Loss_D: -0.042631 Loss_G: 0.022474 Loss_D_real: -0.026908 Loss_D_fake 0.015723
[131/5000][285/535][13197] Loss_D: -0.041555 Loss_G: 0.002114 Loss_D_real: -0.009533 Loss_D_fake 0.032022
[131/5000][290/535][13198] Loss_D: -0.041573 Loss_G: 0.034867 Loss_D_real: -0.030896 Loss_D_fake 0.010677
[131/5000][295/535][13199] Loss_D: -0.043370 Loss_G: 0.003688 Loss_D_real: -0.011561 Loss_D_fake 0.031809
[131/5000][300/535][13200] Loss_D: -0.040422 Loss_G: 0.045523 Loss_D_real: -0.041002 Loss_D_fake -0.000580
[131/5000][305/535][13201] Loss_D: -0.043798 Loss_G: 0.015128 Loss_D_real: -0.022353 Loss_D_fake 0.021445
[131/5000][310/535][13202] Loss_D: -0.040937 Loss_G: 0.024744 Loss_D_real: -0.031565 Loss_D_fake 0.009372
[131/5000][315/535][13203] Loss_D: -0.043132 Loss_G: 0.050060 Loss_D_real: -0.045732 Loss_D_fake -0.002600
[131/5000][320/535][13204] Loss_D: -0.042700 Loss_G: 0.003166 Loss_D_real: -0.003176 Loss_D_fake 0.039525
[131/5000][325/535][13205] Loss_D: -0.042039 Loss_G: 0.041224 Loss_D_real: -0.039765 Loss_D_fake 0.002274
[131/5000][330/535][13206] Loss_D: -0.045142 Loss_G: 0.028331 Loss_D_real: -0.028655 Loss_D_fake 0.016487
[131/5000][335/535][13207] Loss_D: -0.044800 Loss_G: 0.026805 Loss_D_real: -0.024634 Loss_D_fake 0.020167
[131/5000][340/535][13208] Loss_D: -0.043331 Loss_G: -0.015823 Loss_D_real: 0.004535 Loss_D_fake 0.047866
[131/5000][345/535][13209] Loss_D: -0.040998 Loss_G: 0.042499 Loss_D_real: -0.043311 Loss_D_fake -0.002313
[131/5000][350/535][13210] Loss_D: -0.043330 Loss_G: 0.035390 Loss_D_real: -0.036208 Loss_D_fake 0.007122
[131/5000][355/535][13211] Loss_D: -0.045207 Loss_G: 0.029314 Loss_D_real: -0.032055 Loss_D_fake 0.013153
[131/5000][360/535][13212] Loss_D: -0.045018 Loss_G: 0.015971 Loss_D_real: -0.021834 Loss_D_fake 0.023184
[131/5000][365/535][13213] Loss_D: -0.046154 Loss_G: 0.008957 Loss_D_real: -0.020190 Loss_D_fake 0.025964
[131/5000][370/535][13214] Loss_D: -0.046870 Loss_G: 0.031175 Loss_D_real: -0.036021 Loss_D_fake 0.010849
[131/5000][375/535][13215] Loss_D: -0.045558 Loss_G: 0.013613 Loss_D_real: -0.018779 Loss_D_fake 0.026779
[131/5000][380/535][13216] Loss_D: -0.044576 Loss_G: 0.044599 Loss_D_real: -0.040915 Loss_D_fake 0.003662
[131/5000][385/535][13217] Loss_D: -0.045298 Loss_G: 0.000798 Loss_D_real: -0.014302 Loss_D_fake 0.030996
[131/5000][390/535][13218] Loss_D: -0.042360 Loss_G: 0.040690 Loss_D_real: -0.035444 Loss_D_fake 0.006916
[131/5000][395/535][13219] Loss_D: -0.044427 Loss_G: 0.003479 Loss_D_real: -0.011456 Loss_D_fake 0.032971
[131/5000][400/535][13220] Loss_D: -0.041944 Loss_G: 0.026487 Loss_D_real: -0.037785 Loss_D_fake 0.004159
[131/5000][405/535][13221] Loss_D: -0.042780 Loss_G: -0.003659 Loss_D_real: -0.010412 Loss_D_fake 0.032368
[131/5000][410/535][13222] Loss_D: -0.042865 Loss_G: 0.037519 Loss_D_real: -0.034654 Loss_D_fake 0.008211
[131/5000][415/535][13223] Loss_D: -0.042930 Loss_G: 0.013350 Loss_D_real: -0.021416 Loss_D_fake 0.021514
[131/5000][420/535][13224] Loss_D: -0.044065 Loss_G: 0.045978 Loss_D_real: -0.043447 Loss_D_fake 0.000618
[131/5000][425/535][13225] Loss_D: -0.044964 Loss_G: 0.000910 Loss_D_real: -0.013582 Loss_D_fake 0.031382
[131/5000][430/535][13226] Loss_D: -0.042428 Loss_G: 0.046231 Loss_D_real: -0.039754 Loss_D_fake 0.002674
[131/5000][435/535][13227] Loss_D: -0.043602 Loss_G: 0.023018 Loss_D_real: -0.028109 Loss_D_fake 0.015493
[131/5000][440/535][13228] Loss_D: -0.045336 Loss_G: 0.025512 Loss_D_real: -0.028223 Loss_D_fake 0.017113
[131/5000][445/535][13229] Loss_D: -0.044530 Loss_G: 0.034422 Loss_D_real: -0.031274 Loss_D_fake 0.013256
[131/5000][450/535][13230] Loss_D: -0.043265 Loss_G: 0.002706 Loss_D_real: -0.008828 Loss_D_fake 0.034436
[131/5000][455/535][13231] Loss_D: -0.043214 Loss_G: 0.048912 Loss_D_real: -0.042805 Loss_D_fake 0.000409
[131/5000][460/535][13232] Loss_D: -0.039210 Loss_G: -0.016278 Loss_D_real: 0.002063 Loss_D_fake 0.041273
[131/5000][465/535][13233] Loss_D: -0.042012 Loss_G: 0.042925 Loss_D_real: -0.032886 Loss_D_fake 0.009126
[131/5000][470/535][13234] Loss_D: -0.042206 Loss_G: 0.005850 Loss_D_real: -0.009157 Loss_D_fake 0.033049
[131/5000][475/535][13235] Loss_D: -0.041647 Loss_G: 0.029296 Loss_D_real: -0.023589 Loss_D_fake 0.018057
[131/5000][480/535][13236] Loss_D: -0.041901 Loss_G: 0.019461 Loss_D_real: -0.024634 Loss_D_fake 0.017267
[131/5000][485/535][13237] Loss_D: -0.043359 Loss_G: 0.035521 Loss_D_real: -0.030745 Loss_D_fake 0.012614
[131/5000][490/535][13238] Loss_D: -0.041716 Loss_G: 0.018841 Loss_D_real: -0.023701 Loss_D_fake 0.018015
[131/5000][495/535][13239] Loss_D: -0.043009 Loss_G: 0.032411 Loss_D_real: -0.035885 Loss_D_fake 0.007124
[131/5000][500/535][13240] Loss_D: -0.041637 Loss_G: 0.006126 Loss_D_real: -0.013482 Loss_D_fake 0.028155
[131/5000][505/535][13241] Loss_D: -0.042305 Loss_G: 0.034857 Loss_D_real: -0.038946 Loss_D_fake 0.003359
[131/5000][510/535][13242] Loss_D: -0.044808 Loss_G: 0.013815 Loss_D_real: -0.018116 Loss_D_fake 0.026691
[131/5000][515/535][13243] Loss_D: -0.041760 Loss_G: 0.010938 Loss_D_real: -0.020316 Loss_D_fake 0.021444
[131/5000][520/535][13244] Loss_D: -0.042542 Loss_G: -0.009665 Loss_D_real: -0.005868 Loss_D_fake 0.036674
[131/5000][525/535][13245] Loss_D: -0.042794 Loss_G: 0.043582 Loss_D_real: -0.044217 Loss_D_fake -0.001423
[131/5000][530/535][13246] Loss_D: -0.042920 Loss_G: 0.001927 Loss_D_real: -0.013805 Loss_D_fake 0.029115
[131/5000][535/535][13247] Loss_D: -0.044848 Loss_G: 0.035902 Loss_D_real: -0.043858 Loss_D_fake 0.000990
[132/5000][5/535][13248] Loss_D: -0.044738 Loss_G: -0.001409 Loss_D_real: -0.010279 Loss_D_fake 0.034459
[132/5000][10/535][13249] Loss_D: -0.042933 Loss_G: 0.029646 Loss_D_real: -0.030205 Loss_D_fake 0.012728
[132/5000][15/535][13250] Loss_D: -0.041340 Loss_G: -0.003733 Loss_D_real: -0.004674 Loss_D_fake 0.036667
[132/5000][20/535][13251] Loss_D: -0.042252 Loss_G: 0.032717 Loss_D_real: -0.037026 Loss_D_fake 0.005226
[132/5000][25/535][13252] Loss_D: -0.043897 Loss_G: 0.019450 Loss_D_real: -0.019649 Loss_D_fake 0.024248
[132/5000][30/535][13253] Loss_D: -0.042301 Loss_G: -0.006292 Loss_D_real: -0.004372 Loss_D_fake 0.037930
[132/5000][35/535][13254] Loss_D: -0.043198 Loss_G: 0.038303 Loss_D_real: -0.037394 Loss_D_fake 0.005804
[132/5000][40/535][13255] Loss_D: -0.042748 Loss_G: 0.009482 Loss_D_real: -0.013527 Loss_D_fake 0.029222
[132/5000][45/535][13256] Loss_D: -0.040775 Loss_G: 0.031778 Loss_D_real: -0.036099 Loss_D_fake 0.004676
[132/5000][50/535][13257] Loss_D: -0.042605 Loss_G: 0.021050 Loss_D_real: -0.020045 Loss_D_fake 0.022560
[132/5000][55/535][13258] Loss_D: -0.043628 Loss_G: 0.034614 Loss_D_real: -0.025042 Loss_D_fake 0.018586
[132/5000][60/535][13259] Loss_D: -0.043155 Loss_G: 0.014341 Loss_D_real: -0.024086 Loss_D_fake 0.019069
[132/5000][65/535][13260] Loss_D: -0.042175 Loss_G: 0.047348 Loss_D_real: -0.047238 Loss_D_fake -0.005064
[132/5000][70/535][13261] Loss_D: -0.043973 Loss_G: 0.040132 Loss_D_real: -0.035714 Loss_D_fake 0.008259
[132/5000][75/535][13262] Loss_D: -0.046411 Loss_G: 0.027445 Loss_D_real: -0.028184 Loss_D_fake 0.018227
[132/5000][80/535][13263] Loss_D: -0.045327 Loss_G: 0.032911 Loss_D_real: -0.033973 Loss_D_fake 0.011354
[132/5000][85/535][13264] Loss_D: -0.042959 Loss_G: 0.017551 Loss_D_real: -0.018675 Loss_D_fake 0.024284
[132/5000][90/535][13265] Loss_D: -0.043774 Loss_G: 0.029801 Loss_D_real: -0.031360 Loss_D_fake 0.012414
[132/5000][95/535][13266] Loss_D: -0.044578 Loss_G: -0.003494 Loss_D_real: -0.009070 Loss_D_fake 0.035508
[132/5000][100/535][13267] Loss_D: -0.040751 Loss_G: 0.048115 Loss_D_real: -0.047730 Loss_D_fake -0.006979
[132/5000][105/535][13268] Loss_D: -0.042786 Loss_G: 0.016037 Loss_D_real: -0.013398 Loss_D_fake 0.029388
[132/5000][110/535][13269] Loss_D: -0.042050 Loss_G: 0.048198 Loss_D_real: -0.046275 Loss_D_fake -0.004225
[132/5000][115/535][13270] Loss_D: -0.044563 Loss_G: 0.009215 Loss_D_real: -0.016799 Loss_D_fake 0.027763
[132/5000][120/535][13271] Loss_D: -0.043861 Loss_G: 0.028182 Loss_D_real: -0.029569 Loss_D_fake 0.014292
[132/5000][125/535][13272] Loss_D: -0.044984 Loss_G: 0.034210 Loss_D_real: -0.027761 Loss_D_fake 0.017224
[132/5000][130/535][13273] Loss_D: -0.042662 Loss_G: -0.008505 Loss_D_real: -0.002100 Loss_D_fake 0.040562
[132/5000][135/535][13274] Loss_D: -0.040718 Loss_G: 0.040958 Loss_D_real: -0.043423 Loss_D_fake -0.002705
[132/5000][140/535][13275] Loss_D: -0.043115 Loss_G: 0.005886 Loss_D_real: -0.016037 Loss_D_fake 0.027077
[132/5000][145/535][13276] Loss_D: -0.041419 Loss_G: 0.049048 Loss_D_real: -0.043436 Loss_D_fake -0.002017
[132/5000][150/535][13277] Loss_D: -0.043694 Loss_G: 0.029472 Loss_D_real: -0.034883 Loss_D_fake 0.008812
[132/5000][155/535][13278] Loss_D: -0.042739 Loss_G: 0.045888 Loss_D_real: -0.043530 Loss_D_fake -0.000792
[132/5000][160/535][13279] Loss_D: -0.041954 Loss_G: -0.010010 Loss_D_real: -0.003850 Loss_D_fake 0.038104
[132/5000][165/535][13280] Loss_D: -0.042066 Loss_G: 0.026483 Loss_D_real: -0.025772 Loss_D_fake 0.016294
[132/5000][170/535][13281] Loss_D: -0.042503 Loss_G: 0.008614 Loss_D_real: -0.008112 Loss_D_fake 0.034390
[132/5000][175/535][13282] Loss_D: -0.043319 Loss_G: 0.028835 Loss_D_real: -0.032789 Loss_D_fake 0.010531
[132/5000][180/535][13283] Loss_D: -0.041527 Loss_G: 0.010533 Loss_D_real: -0.008477 Loss_D_fake 0.033049
[132/5000][185/535][13284] Loss_D: -0.043596 Loss_G: 0.019357 Loss_D_real: -0.022746 Loss_D_fake 0.020850
[132/5000][190/535][13285] Loss_D: -0.041822 Loss_G: 0.019047 Loss_D_real: -0.018304 Loss_D_fake 0.023518
[132/5000][195/535][13286] Loss_D: -0.042536 Loss_G: 0.014245 Loss_D_real: -0.016015 Loss_D_fake 0.026521
[132/5000][200/535][13287] Loss_D: -0.044312 Loss_G: 0.020310 Loss_D_real: -0.026197 Loss_D_fake 0.018115
[132/5000][205/535][13288] Loss_D: -0.044043 Loss_G: 0.020730 Loss_D_real: -0.017934 Loss_D_fake 0.026109
[132/5000][210/535][13289] Loss_D: -0.044155 Loss_G: 0.030243 Loss_D_real: -0.031339 Loss_D_fake 0.012815
[132/5000][215/535][13290] Loss_D: -0.042571 Loss_G: 0.032890 Loss_D_real: -0.032252 Loss_D_fake 0.010319
[132/5000][220/535][13291] Loss_D: -0.044639 Loss_G: 0.028817 Loss_D_real: -0.021474 Loss_D_fake 0.023165
[132/5000][225/535][13292] Loss_D: -0.041170 Loss_G: 0.055144 Loss_D_real: -0.046680 Loss_D_fake -0.005510
[132/5000][230/535][13293] Loss_D: -0.041436 Loss_G: 0.004271 Loss_D_real: -0.008475 Loss_D_fake 0.032962
[132/5000][235/535][13294] Loss_D: -0.043111 Loss_G: 0.036070 Loss_D_real: -0.040002 Loss_D_fake 0.003109
[132/5000][240/535][13295] Loss_D: -0.042320 Loss_G: 0.014817 Loss_D_real: -0.017705 Loss_D_fake 0.024615
[132/5000][245/535][13296] Loss_D: -0.042835 Loss_G: 0.051993 Loss_D_real: -0.048637 Loss_D_fake -0.005801
[132/5000][250/535][13297] Loss_D: -0.041308 Loss_G: 0.000952 Loss_D_real: -0.004418 Loss_D_fake 0.036890
[132/5000][255/535][13298] Loss_D: -0.044634 Loss_G: 0.007255 Loss_D_real: -0.024544 Loss_D_fake 0.020090
[132/5000][260/535][13299] Loss_D: -0.043471 Loss_G: 0.010665 Loss_D_real: -0.018735 Loss_D_fake 0.024736
[132/5000][265/535][13300] Loss_D: -0.044333 Loss_G: 0.044029 Loss_D_real: -0.045487 Loss_D_fake -0.001154
[132/5000][270/535][13301] Loss_D: -0.044342 Loss_G: 0.000030 Loss_D_real: -0.008798 Loss_D_fake 0.035544
[132/5000][275/535][13302] Loss_D: -0.043460 Loss_G: 0.039812 Loss_D_real: -0.036411 Loss_D_fake 0.007049
[132/5000][280/535][13303] Loss_D: -0.044451 Loss_G: 0.008380 Loss_D_real: -0.011726 Loss_D_fake 0.032725
[132/5000][285/535][13304] Loss_D: -0.042030 Loss_G: 0.016140 Loss_D_real: -0.019619 Loss_D_fake 0.022411
[132/5000][290/535][13305] Loss_D: -0.042229 Loss_G: 0.051925 Loss_D_real: -0.044897 Loss_D_fake -0.002668
[132/5000][295/535][13306] Loss_D: -0.043327 Loss_G: 0.005587 Loss_D_real: -0.013878 Loss_D_fake 0.029449
[132/5000][300/535][13307] Loss_D: -0.041693 Loss_G: 0.038558 Loss_D_real: -0.039245 Loss_D_fake 0.002448
[132/5000][305/535][13308] Loss_D: -0.043422 Loss_G: 0.009389 Loss_D_real: -0.014265 Loss_D_fake 0.029157
[132/5000][310/535][13309] Loss_D: -0.043091 Loss_G: 0.038024 Loss_D_real: -0.031734 Loss_D_fake 0.011358
[132/5000][315/535][13310] Loss_D: -0.044249 Loss_G: 0.014459 Loss_D_real: -0.022079 Loss_D_fake 0.022170
[132/5000][320/535][13311] Loss_D: -0.045740 Loss_G: 0.019128 Loss_D_real: -0.024814 Loss_D_fake 0.020926
[132/5000][325/535][13312] Loss_D: -0.044401 Loss_G: 0.028405 Loss_D_real: -0.027159 Loss_D_fake 0.017241
[132/5000][330/535][13313] Loss_D: -0.043909 Loss_G: 0.033632 Loss_D_real: -0.031143 Loss_D_fake 0.012766
[132/5000][335/535][13314] Loss_D: -0.042425 Loss_G: 0.050027 Loss_D_real: -0.044538 Loss_D_fake -0.002113
[132/5000][340/535][13315] Loss_D: -0.042943 Loss_G: -0.007917 Loss_D_real: -0.009778 Loss_D_fake 0.033165
[132/5000][345/535][13316] Loss_D: -0.041590 Loss_G: 0.018625 Loss_D_real: -0.029081 Loss_D_fake 0.012509
[132/5000][350/535][13317] Loss_D: -0.041885 Loss_G: 0.027168 Loss_D_real: -0.031061 Loss_D_fake 0.010824
[132/5000][355/535][13318] Loss_D: -0.042336 Loss_G: 0.037061 Loss_D_real: -0.036548 Loss_D_fake 0.005788
[132/5000][360/535][13319] Loss_D: -0.043727 Loss_G: 0.011512 Loss_D_real: -0.014551 Loss_D_fake 0.029176
[132/5000][365/535][13320] Loss_D: -0.043730 Loss_G: 0.029215 Loss_D_real: -0.024790 Loss_D_fake 0.018939
[132/5000][370/535][13321] Loss_D: -0.040798 Loss_G: 0.047100 Loss_D_real: -0.043115 Loss_D_fake -0.002317
[132/5000][375/535][13322] Loss_D: -0.042265 Loss_G: -0.005554 Loss_D_real: 0.000239 Loss_D_fake 0.042504
[132/5000][380/535][13323] Loss_D: -0.042837 Loss_G: 0.038923 Loss_D_real: -0.043330 Loss_D_fake -0.000493
[132/5000][385/535][13324] Loss_D: -0.042228 Loss_G: 0.023617 Loss_D_real: -0.024795 Loss_D_fake 0.017434
[132/5000][390/535][13325] Loss_D: -0.044122 Loss_G: 0.033720 Loss_D_real: -0.030487 Loss_D_fake 0.013634
[132/5000][395/535][13326] Loss_D: -0.041464 Loss_G: 0.003265 Loss_D_real: -0.011880 Loss_D_fake 0.029584
[132/5000][400/535][13327] Loss_D: -0.041428 Loss_G: 0.031604 Loss_D_real: -0.031901 Loss_D_fake 0.009526
[132/5000][405/535][13328] Loss_D: -0.042957 Loss_G: 0.016087 Loss_D_real: -0.021580 Loss_D_fake 0.021377
[132/5000][410/535][13329] Loss_D: -0.042683 Loss_G: 0.028723 Loss_D_real: -0.029557 Loss_D_fake 0.013126
[132/5000][415/535][13330] Loss_D: -0.044388 Loss_G: 0.007359 Loss_D_real: -0.017670 Loss_D_fake 0.026718
[132/5000][420/535][13331] Loss_D: -0.042376 Loss_G: 0.043616 Loss_D_real: -0.039847 Loss_D_fake 0.002530
[132/5000][425/535][13332] Loss_D: -0.039929 Loss_G: -0.012243 Loss_D_real: 0.003245 Loss_D_fake 0.043175
[132/5000][430/535][13333] Loss_D: -0.040781 Loss_G: 0.038838 Loss_D_real: -0.041424 Loss_D_fake -0.000643
[132/5000][435/535][13334] Loss_D: -0.045589 Loss_G: 0.002526 Loss_D_real: -0.012211 Loss_D_fake 0.033378
[132/5000][440/535][13335] Loss_D: -0.041759 Loss_G: 0.038289 Loss_D_real: -0.035448 Loss_D_fake 0.006311
[132/5000][445/535][13336] Loss_D: -0.039941 Loss_G: 0.007812 Loss_D_real: -0.007157 Loss_D_fake 0.032784
[132/5000][450/535][13337] Loss_D: -0.041179 Loss_G: 0.022493 Loss_D_real: -0.023454 Loss_D_fake 0.017725
[132/5000][455/535][13338] Loss_D: -0.042367 Loss_G: 0.029344 Loss_D_real: -0.034281 Loss_D_fake 0.008086
[132/5000][460/535][13339] Loss_D: -0.044558 Loss_G: 0.029895 Loss_D_real: -0.031216 Loss_D_fake 0.013343
[132/5000][465/535][13340] Loss_D: -0.043223 Loss_G: 0.017696 Loss_D_real: -0.020551 Loss_D_fake 0.022672
[132/5000][470/535][13341] Loss_D: -0.042543 Loss_G: 0.047637 Loss_D_real: -0.039654 Loss_D_fake 0.002889
[132/5000][475/535][13342] Loss_D: -0.042847 Loss_G: 0.003518 Loss_D_real: -0.008956 Loss_D_fake 0.033891
[132/5000][480/535][13343] Loss_D: -0.041830 Loss_G: 0.014719 Loss_D_real: -0.021592 Loss_D_fake 0.020237
[132/5000][485/535][13344] Loss_D: -0.042300 Loss_G: 0.053100 Loss_D_real: -0.049705 Loss_D_fake -0.007406
[132/5000][490/535][13345] Loss_D: -0.042787 Loss_G: -0.000931 Loss_D_real: -0.013092 Loss_D_fake 0.029695
[132/5000][495/535][13346] Loss_D: -0.042305 Loss_G: 0.001548 Loss_D_real: -0.011574 Loss_D_fake 0.030731
[132/5000][500/535][13347] Loss_D: -0.041703 Loss_G: 0.028135 Loss_D_real: -0.027340 Loss_D_fake 0.014363
[132/5000][505/535][13348] Loss_D: -0.042066 Loss_G: 0.009006 Loss_D_real: -0.013452 Loss_D_fake 0.028613
[132/5000][510/535][13349] Loss_D: -0.043302 Loss_G: 0.028457 Loss_D_real: -0.026296 Loss_D_fake 0.017006
[132/5000][515/535][13350] Loss_D: -0.044219 Loss_G: 0.023500 Loss_D_real: -0.030430 Loss_D_fake 0.013789
[132/5000][520/535][13351] Loss_D: -0.043820 Loss_G: 0.019917 Loss_D_real: -0.030212 Loss_D_fake 0.013608
[132/5000][525/535][13352] Loss_D: -0.043740 Loss_G: 0.056051 Loss_D_real: -0.049988 Loss_D_fake -0.006249
[132/5000][530/535][13353] Loss_D: -0.041242 Loss_G: -0.000111 Loss_D_real: -0.012867 Loss_D_fake 0.028375
[132/5000][535/535][13354] Loss_D: -0.041861 Loss_G: 0.030024 Loss_D_real: -0.049946 Loss_D_fake -0.008086
[133/5000][5/535][13355] Loss_D: -0.044307 Loss_G: 0.018081 Loss_D_real: -0.017168 Loss_D_fake 0.027140
[133/5000][10/535][13356] Loss_D: -0.043683 Loss_G: 0.047449 Loss_D_real: -0.037767 Loss_D_fake 0.005916
[133/5000][15/535][13357] Loss_D: -0.044118 Loss_G: 0.021208 Loss_D_real: -0.026740 Loss_D_fake 0.017378
[133/5000][20/535][13358] Loss_D: -0.042732 Loss_G: 0.035988 Loss_D_real: -0.034738 Loss_D_fake 0.007994
[133/5000][25/535][13359] Loss_D: -0.042436 Loss_G: 0.006180 Loss_D_real: -0.016038 Loss_D_fake 0.026398
[133/5000][30/535][13360] Loss_D: -0.043622 Loss_G: 0.037696 Loss_D_real: -0.034697 Loss_D_fake 0.008925
[133/5000][35/535][13361] Loss_D: -0.040936 Loss_G: 0.002293 Loss_D_real: -0.006597 Loss_D_fake 0.034339
[133/5000][40/535][13362] Loss_D: -0.042408 Loss_G: 0.036709 Loss_D_real: -0.038349 Loss_D_fake 0.004058
[133/5000][45/535][13363] Loss_D: -0.044409 Loss_G: 0.033229 Loss_D_real: -0.028900 Loss_D_fake 0.015508
[133/5000][50/535][13364] Loss_D: -0.044594 Loss_G: 0.053094 Loss_D_real: -0.044109 Loss_D_fake 0.000484
[133/5000][55/535][13365] Loss_D: -0.042469 Loss_G: -0.010471 Loss_D_real: -0.003888 Loss_D_fake 0.038581
[133/5000][60/535][13366] Loss_D: -0.041366 Loss_G: 0.034476 Loss_D_real: -0.036509 Loss_D_fake 0.004858
[133/5000][65/535][13367] Loss_D: -0.040477 Loss_G: 0.008315 Loss_D_real: -0.012938 Loss_D_fake 0.027539
[133/5000][70/535][13368] Loss_D: -0.042156 Loss_G: 0.035615 Loss_D_real: -0.039754 Loss_D_fake 0.002402
[133/5000][75/535][13369] Loss_D: -0.042394 Loss_G: -0.001282 Loss_D_real: -0.010668 Loss_D_fake 0.031726
[133/5000][80/535][13370] Loss_D: -0.043137 Loss_G: 0.027188 Loss_D_real: -0.030500 Loss_D_fake 0.012638
[133/5000][85/535][13371] Loss_D: -0.042906 Loss_G: -0.002675 Loss_D_real: -0.011392 Loss_D_fake 0.031514
[133/5000][90/535][13372] Loss_D: -0.043433 Loss_G: 0.034318 Loss_D_real: -0.031967 Loss_D_fake 0.011466
[133/5000][95/535][13373] Loss_D: -0.043115 Loss_G: 0.028947 Loss_D_real: -0.023317 Loss_D_fake 0.019798
[133/5000][100/535][13374] Loss_D: -0.042404 Loss_G: 0.048938 Loss_D_real: -0.044746 Loss_D_fake -0.002342
[133/5000][105/535][13375] Loss_D: -0.043509 Loss_G: 0.006563 Loss_D_real: -0.014316 Loss_D_fake 0.029193
[133/5000][110/535][13376] Loss_D: -0.040871 Loss_G: 0.042236 Loss_D_real: -0.042367 Loss_D_fake -0.001496
[133/5000][115/535][13377] Loss_D: -0.043767 Loss_G: 0.006801 Loss_D_real: -0.017891 Loss_D_fake 0.025876
[133/5000][120/535][13378] Loss_D: -0.043192 Loss_G: 0.034398 Loss_D_real: -0.038245 Loss_D_fake 0.004946
[133/5000][125/535][13379] Loss_D: -0.042827 Loss_G: 0.038858 Loss_D_real: -0.035695 Loss_D_fake 0.007132
[133/5000][130/535][13380] Loss_D: -0.044831 Loss_G: 0.004439 Loss_D_real: -0.012590 Loss_D_fake 0.032241
[133/5000][135/535][13381] Loss_D: -0.045875 Loss_G: 0.030005 Loss_D_real: -0.027908 Loss_D_fake 0.017966
[133/5000][140/535][13382] Loss_D: -0.044195 Loss_G: 0.037116 Loss_D_real: -0.033764 Loss_D_fake 0.010431
[133/5000][145/535][13383] Loss_D: -0.042748 Loss_G: 0.011919 Loss_D_real: -0.014480 Loss_D_fake 0.028268
[133/5000][150/535][13384] Loss_D: -0.043562 Loss_G: 0.032614 Loss_D_real: -0.033471 Loss_D_fake 0.010091
[133/5000][155/535][13385] Loss_D: -0.042927 Loss_G: 0.019648 Loss_D_real: -0.027614 Loss_D_fake 0.015312
[133/5000][160/535][13386] Loss_D: -0.046468 Loss_G: 0.011158 Loss_D_real: -0.021472 Loss_D_fake 0.024995
[133/5000][165/535][13387] Loss_D: -0.042285 Loss_G: 0.044034 Loss_D_real: -0.036785 Loss_D_fake 0.005500
[133/5000][170/535][13388] Loss_D: -0.041565 Loss_G: -0.011352 Loss_D_real: -0.002013 Loss_D_fake 0.039551
[133/5000][175/535][13389] Loss_D: -0.040371 Loss_G: 0.037304 Loss_D_real: -0.041945 Loss_D_fake -0.001573
[133/5000][180/535][13390] Loss_D: -0.042584 Loss_G: 0.008451 Loss_D_real: -0.010134 Loss_D_fake 0.032450
[133/5000][185/535][13391] Loss_D: -0.042211 Loss_G: 0.030684 Loss_D_real: -0.033943 Loss_D_fake 0.008268
[133/5000][190/535][13392] Loss_D: -0.041993 Loss_G: 0.010228 Loss_D_real: -0.014178 Loss_D_fake 0.027816
[133/5000][195/535][13393] Loss_D: -0.041948 Loss_G: 0.038842 Loss_D_real: -0.035249 Loss_D_fake 0.006699
[133/5000][200/535][13394] Loss_D: -0.044156 Loss_G: -0.004350 Loss_D_real: -0.011011 Loss_D_fake 0.033144
[133/5000][205/535][13395] Loss_D: -0.043125 Loss_G: 0.032291 Loss_D_real: -0.034404 Loss_D_fake 0.008721
[133/5000][210/535][13396] Loss_D: -0.044240 Loss_G: 0.007414 Loss_D_real: -0.020171 Loss_D_fake 0.024069
[133/5000][215/535][13397] Loss_D: -0.042051 Loss_G: 0.025886 Loss_D_real: -0.025476 Loss_D_fake 0.016575
[133/5000][220/535][13398] Loss_D: -0.043930 Loss_G: 0.049329 Loss_D_real: -0.043331 Loss_D_fake 0.000599
[133/5000][225/535][13399] Loss_D: -0.043695 Loss_G: 0.004662 Loss_D_real: -0.013476 Loss_D_fake 0.030219
[133/5000][230/535][13400] Loss_D: -0.043036 Loss_G: 0.048311 Loss_D_real: -0.046516 Loss_D_fake -0.003480
[133/5000][235/535][13401] Loss_D: -0.040754 Loss_G: 0.043702 Loss_D_real: -0.037760 Loss_D_fake 0.002994
[133/5000][240/535][13402] Loss_D: -0.041445 Loss_G: 0.008050 Loss_D_real: -0.013323 Loss_D_fake 0.028122
[133/5000][245/535][13403] Loss_D: -0.041811 Loss_G: 0.007898 Loss_D_real: -0.017787 Loss_D_fake 0.024024
[133/5000][250/535][13404] Loss_D: -0.040114 Loss_G: 0.028625 Loss_D_real: -0.028447 Loss_D_fake 0.011667
[133/5000][255/535][13405] Loss_D: -0.041164 Loss_G: 0.045879 Loss_D_real: -0.043110 Loss_D_fake -0.001946
[133/5000][260/535][13406] Loss_D: -0.042997 Loss_G: 0.042342 Loss_D_real: -0.043199 Loss_D_fake -0.000201
[133/5000][265/535][13407] Loss_D: -0.043000 Loss_G: 0.000396 Loss_D_real: -0.010644 Loss_D_fake 0.032356
[133/5000][270/535][13408] Loss_D: -0.042906 Loss_G: 0.020126 Loss_D_real: -0.023112 Loss_D_fake 0.019794
[133/5000][275/535][13409] Loss_D: -0.043199 Loss_G: 0.032279 Loss_D_real: -0.032696 Loss_D_fake 0.010503
[133/5000][280/535][13410] Loss_D: -0.043932 Loss_G: 0.040543 Loss_D_real: -0.031555 Loss_D_fake 0.012377
[133/5000][285/535][13411] Loss_D: -0.041972 Loss_G: 0.007580 Loss_D_real: -0.015842 Loss_D_fake 0.026130
[133/5000][290/535][13412] Loss_D: -0.043076 Loss_G: 0.026806 Loss_D_real: -0.031177 Loss_D_fake 0.011899
[133/5000][295/535][13413] Loss_D: -0.039345 Loss_G: 0.042012 Loss_D_real: -0.046415 Loss_D_fake -0.007070
[133/5000][300/535][13414] Loss_D: -0.041558 Loss_G: 0.004889 Loss_D_real: -0.009764 Loss_D_fake 0.031794
[133/5000][305/535][13415] Loss_D: -0.041986 Loss_G: 0.042394 Loss_D_real: -0.044421 Loss_D_fake -0.002435
[133/5000][310/535][13416] Loss_D: -0.042349 Loss_G: 0.012426 Loss_D_real: -0.020223 Loss_D_fake 0.022126
[133/5000][315/535][13417] Loss_D: -0.043265 Loss_G: 0.040177 Loss_D_real: -0.038066 Loss_D_fake 0.005199
[133/5000][320/535][13418] Loss_D: -0.043529 Loss_G: 0.018377 Loss_D_real: -0.020288 Loss_D_fake 0.023241
[133/5000][325/535][13419] Loss_D: -0.042108 Loss_G: 0.033037 Loss_D_real: -0.039547 Loss_D_fake 0.002561
[133/5000][330/535][13420] Loss_D: -0.043628 Loss_G: 0.009377 Loss_D_real: -0.018852 Loss_D_fake 0.024775
[133/5000][335/535][13421] Loss_D: -0.040844 Loss_G: 0.032139 Loss_D_real: -0.035694 Loss_D_fake 0.005151
[133/5000][340/535][13422] Loss_D: -0.041836 Loss_G: 0.003329 Loss_D_real: -0.008692 Loss_D_fake 0.033144
[133/5000][345/535][13423] Loss_D: -0.041713 Loss_G: 0.035490 Loss_D_real: -0.036229 Loss_D_fake 0.005483
[133/5000][350/535][13424] Loss_D: -0.043284 Loss_G: 0.004917 Loss_D_real: -0.016640 Loss_D_fake 0.026644
[133/5000][355/535][13425] Loss_D: -0.043693 Loss_G: 0.039210 Loss_D_real: -0.040319 Loss_D_fake 0.003374
[133/5000][360/535][13426] Loss_D: -0.042066 Loss_G: 0.024125 Loss_D_real: -0.029905 Loss_D_fake 0.012162
[133/5000][365/535][13427] Loss_D: -0.041719 Loss_G: 0.040805 Loss_D_real: -0.034792 Loss_D_fake 0.006927
[133/5000][370/535][13428] Loss_D: -0.041572 Loss_G: 0.014093 Loss_D_real: -0.021601 Loss_D_fake 0.019971
[133/5000][375/535][13429] Loss_D: -0.041456 Loss_G: 0.039623 Loss_D_real: -0.039686 Loss_D_fake 0.001770
[133/5000][380/535][13430] Loss_D: -0.041705 Loss_G: -0.004764 Loss_D_real: -0.009316 Loss_D_fake 0.032389
[133/5000][385/535][13431] Loss_D: -0.040573 Loss_G: 0.039865 Loss_D_real: -0.043344 Loss_D_fake -0.002771
[133/5000][390/535][13432] Loss_D: -0.045437 Loss_G: 0.008156 Loss_D_real: -0.021111 Loss_D_fake 0.024326
[133/5000][395/535][13433] Loss_D: -0.043556 Loss_G: 0.037670 Loss_D_real: -0.039076 Loss_D_fake 0.004480
[133/5000][400/535][13434] Loss_D: -0.046332 Loss_G: 0.016832 Loss_D_real: -0.027018 Loss_D_fake 0.019314
[133/5000][405/535][13435] Loss_D: -0.043766 Loss_G: 0.029013 Loss_D_real: -0.033814 Loss_D_fake 0.009952
[133/5000][410/535][13436] Loss_D: -0.043928 Loss_G: 0.043985 Loss_D_real: -0.041408 Loss_D_fake 0.002520
[133/5000][415/535][13437] Loss_D: -0.043115 Loss_G: 0.033666 Loss_D_real: -0.032148 Loss_D_fake 0.010966
[133/5000][420/535][13438] Loss_D: -0.043404 Loss_G: -0.011400 Loss_D_real: -0.001886 Loss_D_fake 0.041518
[133/5000][425/535][13439] Loss_D: -0.040387 Loss_G: 0.044684 Loss_D_real: -0.039648 Loss_D_fake 0.000739
[133/5000][430/535][13440] Loss_D: -0.043723 Loss_G: 0.042887 Loss_D_real: -0.033384 Loss_D_fake 0.010340
[133/5000][435/535][13441] Loss_D: -0.044554 Loss_G: -0.000678 Loss_D_real: -0.006638 Loss_D_fake 0.037916
[133/5000][440/535][13442] Loss_D: -0.043709 Loss_G: 0.032086 Loss_D_real: -0.027695 Loss_D_fake 0.016014
[133/5000][445/535][13443] Loss_D: -0.044803 Loss_G: 0.021057 Loss_D_real: -0.030308 Loss_D_fake 0.014495
[133/5000][450/535][13444] Loss_D: -0.044717 Loss_G: 0.037176 Loss_D_real: -0.038521 Loss_D_fake 0.006197
[133/5000][455/535][13445] Loss_D: -0.042976 Loss_G: 0.003837 Loss_D_real: -0.010011 Loss_D_fake 0.032965
[133/5000][460/535][13446] Loss_D: -0.043707 Loss_G: 0.045023 Loss_D_real: -0.047651 Loss_D_fake -0.003944
[133/5000][465/535][13447] Loss_D: -0.043603 Loss_G: -0.002775 Loss_D_real: -0.006889 Loss_D_fake 0.036714
[133/5000][470/535][13448] Loss_D: -0.041362 Loss_G: 0.019111 Loss_D_real: -0.027749 Loss_D_fake 0.013613
[133/5000][475/535][13449] Loss_D: -0.043062 Loss_G: 0.034693 Loss_D_real: -0.029337 Loss_D_fake 0.013725
[133/5000][480/535][13450] Loss_D: -0.040495 Loss_G: 0.017157 Loss_D_real: -0.019125 Loss_D_fake 0.021370
[133/5000][485/535][13451] Loss_D: -0.041490 Loss_G: 0.024377 Loss_D_real: -0.023247 Loss_D_fake 0.018243
[133/5000][490/535][13452] Loss_D: -0.043691 Loss_G: 0.014007 Loss_D_real: -0.024655 Loss_D_fake 0.019036
[133/5000][495/535][13453] Loss_D: -0.043388 Loss_G: 0.038207 Loss_D_real: -0.040884 Loss_D_fake 0.002504
[133/5000][500/535][13454] Loss_D: -0.043010 Loss_G: 0.035086 Loss_D_real: -0.035291 Loss_D_fake 0.007719
[133/5000][505/535][13455] Loss_D: -0.043715 Loss_G: 0.030338 Loss_D_real: -0.027441 Loss_D_fake 0.016274
[133/5000][510/535][13456] Loss_D: -0.041708 Loss_G: 0.054704 Loss_D_real: -0.044616 Loss_D_fake -0.002908
[133/5000][515/535][13457] Loss_D: -0.042283 Loss_G: 0.015230 Loss_D_real: -0.018275 Loss_D_fake 0.024008
[133/5000][520/535][13458] Loss_D: -0.043381 Loss_G: 0.016761 Loss_D_real: -0.021652 Loss_D_fake 0.021729
[133/5000][525/535][13459] Loss_D: -0.041840 Loss_G: 0.043177 Loss_D_real: -0.035728 Loss_D_fake 0.006111
[133/5000][530/535][13460] Loss_D: -0.040210 Loss_G: -0.016226 Loss_D_real: 0.002310 Loss_D_fake 0.042520
[133/5000][535/535][13461] Loss_D: -0.041271 Loss_G: 0.043518 Loss_D_real: -0.040455 Loss_D_fake 0.000815
[134/5000][5/535][13462] Loss_D: -0.039683 Loss_G: -0.006296 Loss_D_real: -0.005886 Loss_D_fake 0.033797
[134/5000][10/535][13463] Loss_D: -0.039999 Loss_G: 0.030231 Loss_D_real: -0.032246 Loss_D_fake 0.007753
[134/5000][15/535][13464] Loss_D: -0.040936 Loss_G: 0.033118 Loss_D_real: -0.036079 Loss_D_fake 0.004858
[134/5000][20/535][13465] Loss_D: -0.043171 Loss_G: 0.019988 Loss_D_real: -0.019422 Loss_D_fake 0.023749
[134/5000][25/535][13466] Loss_D: -0.040030 Loss_G: 0.009625 Loss_D_real: -0.013558 Loss_D_fake 0.026472
[134/5000][30/535][13467] Loss_D: -0.042539 Loss_G: 0.018577 Loss_D_real: -0.022443 Loss_D_fake 0.020096
[134/5000][35/535][13468] Loss_D: -0.040878 Loss_G: 0.020072 Loss_D_real: -0.025785 Loss_D_fake 0.015093
[134/5000][40/535][13469] Loss_D: -0.044024 Loss_G: 0.027830 Loss_D_real: -0.027413 Loss_D_fake 0.016610
[134/5000][45/535][13470] Loss_D: -0.042848 Loss_G: 0.033828 Loss_D_real: -0.034351 Loss_D_fake 0.008497
[134/5000][50/535][13471] Loss_D: -0.042750 Loss_G: 0.028943 Loss_D_real: -0.028378 Loss_D_fake 0.014372
[134/5000][55/535][13472] Loss_D: -0.044646 Loss_G: 0.018103 Loss_D_real: -0.033005 Loss_D_fake 0.011641
[134/5000][60/535][13473] Loss_D: -0.044104 Loss_G: 0.025651 Loss_D_real: -0.033625 Loss_D_fake 0.010479
[134/5000][65/535][13474] Loss_D: -0.044618 Loss_G: 0.014804 Loss_D_real: -0.022374 Loss_D_fake 0.022244
[134/5000][70/535][13475] Loss_D: -0.043196 Loss_G: 0.043446 Loss_D_real: -0.040902 Loss_D_fake 0.002294
[134/5000][75/535][13476] Loss_D: -0.045183 Loss_G: 0.048326 Loss_D_real: -0.041400 Loss_D_fake 0.003783
[134/5000][80/535][13477] Loss_D: -0.041887 Loss_G: 0.004094 Loss_D_real: -0.009575 Loss_D_fake 0.032312
[134/5000][85/535][13478] Loss_D: -0.041684 Loss_G: 0.048899 Loss_D_real: -0.043424 Loss_D_fake -0.001740
[134/5000][90/535][13479] Loss_D: -0.045188 Loss_G: 0.005974 Loss_D_real: -0.017972 Loss_D_fake 0.027215
[134/5000][95/535][13480] Loss_D: -0.041929 Loss_G: 0.038519 Loss_D_real: -0.039603 Loss_D_fake 0.002326
[134/5000][100/535][13481] Loss_D: -0.044932 Loss_G: 0.007586 Loss_D_real: -0.013089 Loss_D_fake 0.031843
[134/5000][105/535][13482] Loss_D: -0.041437 Loss_G: 0.051321 Loss_D_real: -0.044395 Loss_D_fake -0.002958
[134/5000][110/535][13483] Loss_D: -0.041360 Loss_G: -0.004916 Loss_D_real: -0.004638 Loss_D_fake 0.036722
[134/5000][115/535][13484] Loss_D: -0.040848 Loss_G: 0.037109 Loss_D_real: -0.041992 Loss_D_fake -0.001143
[134/5000][120/535][13485] Loss_D: -0.043463 Loss_G: 0.025749 Loss_D_real: -0.028556 Loss_D_fake 0.014907
[134/5000][125/535][13486] Loss_D: -0.042238 Loss_G: 0.020908 Loss_D_real: -0.023926 Loss_D_fake 0.018312
[134/5000][130/535][13487] Loss_D: -0.042943 Loss_G: 0.033792 Loss_D_real: -0.037116 Loss_D_fake 0.005827
[134/5000][135/535][13488] Loss_D: -0.043670 Loss_G: 0.037841 Loss_D_real: -0.032171 Loss_D_fake 0.011498
[134/5000][140/535][13489] Loss_D: -0.042595 Loss_G: 0.033964 Loss_D_real: -0.040260 Loss_D_fake 0.002335
[134/5000][145/535][13490] Loss_D: -0.043282 Loss_G: 0.034533 Loss_D_real: -0.031219 Loss_D_fake 0.012063
[134/5000][150/535][13491] Loss_D: -0.042841 Loss_G: -0.001255 Loss_D_real: -0.008266 Loss_D_fake 0.034575
[134/5000][155/535][13492] Loss_D: -0.041732 Loss_G: 0.043714 Loss_D_real: -0.039164 Loss_D_fake 0.002569
[134/5000][160/535][13493] Loss_D: -0.042196 Loss_G: -0.006401 Loss_D_real: -0.003343 Loss_D_fake 0.038853
[134/5000][165/535][13494] Loss_D: -0.040451 Loss_G: 0.035272 Loss_D_real: -0.037868 Loss_D_fake 0.002582
[134/5000][170/535][13495] Loss_D: -0.042311 Loss_G: 0.003520 Loss_D_real: -0.011934 Loss_D_fake 0.030376
[134/5000][175/535][13496] Loss_D: -0.042169 Loss_G: 0.039244 Loss_D_real: -0.042484 Loss_D_fake -0.000316
[134/5000][180/535][13497] Loss_D: -0.045326 Loss_G: 0.005143 Loss_D_real: -0.010750 Loss_D_fake 0.034576
[134/5000][185/535][13498] Loss_D: -0.044025 Loss_G: 0.021524 Loss_D_real: -0.019430 Loss_D_fake 0.024595
[134/5000][190/535][13499] Loss_D: -0.042304 Loss_G: 0.045981 Loss_D_real: -0.041767 Loss_D_fake 0.000536
[134/5000][195/535][13500] Loss_D: -0.044298 Loss_G: 0.020339 Loss_D_real: -0.021797 Loss_D_fake 0.022501
[134/5000][295/535][13501] Loss_D: -0.045096 Loss_G: 0.049851 Loss_D_real: -0.049057 Loss_D_fake -0.003961
[134/5000][300/535][13502] Loss_D: -0.043008 Loss_G: 0.023454 Loss_D_real: -0.026454 Loss_D_fake 0.016554
[134/5000][305/535][13503] Loss_D: -0.040539 Loss_G: 0.027609 Loss_D_real: -0.021830 Loss_D_fake 0.018709
[134/5000][310/535][13504] Loss_D: -0.041233 Loss_G: 0.043394 Loss_D_real: -0.043989 Loss_D_fake -0.002757
[134/5000][315/535][13505] Loss_D: -0.042024 Loss_G: 0.016234 Loss_D_real: -0.026483 Loss_D_fake 0.015541
[134/5000][320/535][13506] Loss_D: -0.044052 Loss_G: 0.016563 Loss_D_real: -0.020948 Loss_D_fake 0.023104
[134/5000][325/535][13507] Loss_D: -0.041422 Loss_G: 0.025810 Loss_D_real: -0.032122 Loss_D_fake 0.009300
[134/5000][330/535][13508] Loss_D: -0.041458 Loss_G: 0.012234 Loss_D_real: -0.016724 Loss_D_fake 0.024734
[134/5000][335/535][13509] Loss_D: -0.040576 Loss_G: 0.012014 Loss_D_real: -0.015793 Loss_D_fake 0.024783
[134/5000][340/535][13510] Loss_D: -0.040480 Loss_G: 0.032930 Loss_D_real: -0.035677 Loss_D_fake 0.004803
[134/5000][345/535][13511] Loss_D: -0.040953 Loss_G: -0.000282 Loss_D_real: -0.013248 Loss_D_fake 0.027704
[134/5000][350/535][13512] Loss_D: -0.040966 Loss_G: 0.046878 Loss_D_real: -0.050805 Loss_D_fake -0.009839
[134/5000][355/535][13513] Loss_D: -0.041510 Loss_G: 0.029352 Loss_D_real: -0.025615 Loss_D_fake 0.015895
[134/5000][360/535][13514] Loss_D: -0.042408 Loss_G: -0.004396 Loss_D_real: -0.008695 Loss_D_fake 0.033713
[134/5000][365/535][13515] Loss_D: -0.042914 Loss_G: 0.033305 Loss_D_real: -0.034235 Loss_D_fake 0.008679
[134/5000][370/535][13516] Loss_D: -0.042036 Loss_G: 0.025775 Loss_D_real: -0.026036 Loss_D_fake 0.016000
[134/5000][375/535][13517] Loss_D: -0.045588 Loss_G: 0.013216 Loss_D_real: -0.018345 Loss_D_fake 0.027243
[134/5000][380/535][13518] Loss_D: -0.042323 Loss_G: 0.037217 Loss_D_real: -0.034955 Loss_D_fake 0.007368
[134/5000][385/535][13519] Loss_D: -0.042685 Loss_G: 0.009602 Loss_D_real: -0.013510 Loss_D_fake 0.029175
[134/5000][390/535][13520] Loss_D: -0.043284 Loss_G: 0.047944 Loss_D_real: -0.046065 Loss_D_fake -0.002781
[134/5000][395/535][13521] Loss_D: -0.042643 Loss_G: 0.008950 Loss_D_real: -0.011878 Loss_D_fake 0.030765
[134/5000][400/535][13522] Loss_D: -0.040089 Loss_G: 0.038317 Loss_D_real: -0.036028 Loss_D_fake 0.004061
[134/5000][405/535][13523] Loss_D: -0.042953 Loss_G: 0.021593 Loss_D_real: -0.023829 Loss_D_fake 0.019124
[134/5000][410/535][13524] Loss_D: -0.044381 Loss_G: 0.040143 Loss_D_real: -0.036402 Loss_D_fake 0.007979
[134/5000][415/535][13525] Loss_D: -0.043246 Loss_G: 0.002371 Loss_D_real: -0.017137 Loss_D_fake 0.026110
[134/5000][420/535][13526] Loss_D: -0.042525 Loss_G: 0.039625 Loss_D_real: -0.038769 Loss_D_fake 0.003756
[134/5000][425/535][13527] Loss_D: -0.041618 Loss_G: 0.008754 Loss_D_real: -0.011311 Loss_D_fake 0.030307
[134/5000][430/535][13528] Loss_D: -0.041549 Loss_G: 0.047384 Loss_D_real: -0.044090 Loss_D_fake -0.002540
[134/5000][435/535][13529] Loss_D: -0.043013 Loss_G: 0.024774 Loss_D_real: -0.024702 Loss_D_fake 0.018312
[134/5000][440/535][13530] Loss_D: -0.042529 Loss_G: 0.042553 Loss_D_real: -0.045249 Loss_D_fake -0.002721
[134/5000][445/535][13531] Loss_D: -0.042271 Loss_G: -0.001924 Loss_D_real: -0.000439 Loss_D_fake 0.041832
[134/5000][450/535][13532] Loss_D: -0.039789 Loss_G: 0.028889 Loss_D_real: -0.028986 Loss_D_fake 0.010803
[134/5000][455/535][13533] Loss_D: -0.041863 Loss_G: 0.012271 Loss_D_real: -0.018694 Loss_D_fake 0.023169
[134/5000][460/535][13534] Loss_D: -0.042629 Loss_G: 0.036179 Loss_D_real: -0.038912 Loss_D_fake 0.003718
[134/5000][465/535][13535] Loss_D: -0.040186 Loss_G: 0.006692 Loss_D_real: -0.012741 Loss_D_fake 0.027445
[134/5000][470/535][13536] Loss_D: -0.042264 Loss_G: 0.034063 Loss_D_real: -0.028826 Loss_D_fake 0.013438
[134/5000][475/535][13537] Loss_D: -0.041866 Loss_G: 0.011403 Loss_D_real: -0.017431 Loss_D_fake 0.024435
[134/5000][480/535][13538] Loss_D: -0.041451 Loss_G: 0.039621 Loss_D_real: -0.038086 Loss_D_fake 0.003365
[134/5000][485/535][13539] Loss_D: -0.044367 Loss_G: 0.024649 Loss_D_real: -0.019942 Loss_D_fake 0.024424
[134/5000][490/535][13540] Loss_D: -0.040634 Loss_G: 0.049130 Loss_D_real: -0.043542 Loss_D_fake -0.002909
[134/5000][495/535][13541] Loss_D: -0.043229 Loss_G: 0.024901 Loss_D_real: -0.027374 Loss_D_fake 0.015854
[134/5000][500/535][13542] Loss_D: -0.044436 Loss_G: -0.007020 Loss_D_real: -0.010786 Loss_D_fake 0.033650
[134/5000][505/535][13543] Loss_D: -0.041870 Loss_G: 0.035217 Loss_D_real: -0.031403 Loss_D_fake 0.010468
[134/5000][510/535][13544] Loss_D: -0.044169 Loss_G: 0.026953 Loss_D_real: -0.028857 Loss_D_fake 0.015312
[134/5000][515/535][13545] Loss_D: -0.043526 Loss_G: -0.001182 Loss_D_real: -0.005349 Loss_D_fake 0.038177
[134/5000][520/535][13546] Loss_D: -0.042612 Loss_G: 0.038363 Loss_D_real: -0.039667 Loss_D_fake 0.002946
[134/5000][525/535][13547] Loss_D: -0.043596 Loss_G: 0.003608 Loss_D_real: -0.013818 Loss_D_fake 0.029778
[134/5000][530/535][13548] Loss_D: -0.041284 Loss_G: 0.035467 Loss_D_real: -0.040466 Loss_D_fake 0.000817
[134/5000][535/535][13549] Loss_D: -0.043633 Loss_G: 0.019973 Loss_D_real: -0.033727 Loss_D_fake 0.009906
[135/5000][5/535][13550] Loss_D: -0.043646 Loss_G: 0.005466 Loss_D_real: -0.015195 Loss_D_fake 0.028452
[135/5000][10/535][13551] Loss_D: -0.039684 Loss_G: 0.038484 Loss_D_real: -0.034146 Loss_D_fake 0.005538
[135/5000][15/535][13552] Loss_D: -0.041221 Loss_G: -0.004350 Loss_D_real: -0.004819 Loss_D_fake 0.036402
[135/5000][20/535][13553] Loss_D: -0.041207 Loss_G: 0.029366 Loss_D_real: -0.030621 Loss_D_fake 0.010586
[135/5000][25/535][13554] Loss_D: -0.043982 Loss_G: -0.005988 Loss_D_real: -0.005219 Loss_D_fake 0.038763
[135/5000][30/535][13555] Loss_D: -0.044206 Loss_G: 0.024064 Loss_D_real: -0.027244 Loss_D_fake 0.016963
[135/5000][35/535][13556] Loss_D: -0.043638 Loss_G: 0.031105 Loss_D_real: -0.029960 Loss_D_fake 0.013678
[135/5000][40/535][13557] Loss_D: -0.044685 Loss_G: 0.032218 Loss_D_real: -0.026570 Loss_D_fake 0.018115
[135/5000][45/535][13558] Loss_D: -0.043764 Loss_G: 0.005111 Loss_D_real: -0.015608 Loss_D_fake 0.028157
[135/5000][50/535][13559] Loss_D: -0.041802 Loss_G: 0.033746 Loss_D_real: -0.031200 Loss_D_fake 0.010602
[135/5000][55/535][13560] Loss_D: -0.042394 Loss_G: -0.001711 Loss_D_real: -0.008200 Loss_D_fake 0.034195
[135/5000][60/535][13561] Loss_D: -0.039547 Loss_G: 0.039263 Loss_D_real: -0.034598 Loss_D_fake 0.004949
[135/5000][65/535][13562] Loss_D: -0.042183 Loss_G: 0.011318 Loss_D_real: -0.017956 Loss_D_fake 0.024227
[135/5000][70/535][13563] Loss_D: -0.041862 Loss_G: 0.028769 Loss_D_real: -0.031178 Loss_D_fake 0.010684
[135/5000][75/535][13564] Loss_D: -0.042305 Loss_G: 0.003366 Loss_D_real: -0.013385 Loss_D_fake 0.028920
[135/5000][80/535][13565] Loss_D: -0.043950 Loss_G: 0.030205 Loss_D_real: -0.031078 Loss_D_fake 0.012872
[135/5000][85/535][13566] Loss_D: -0.042660 Loss_G: 0.011836 Loss_D_real: -0.022663 Loss_D_fake 0.019997
[135/5000][90/535][13567] Loss_D: -0.041762 Loss_G: 0.039385 Loss_D_real: -0.037429 Loss_D_fake 0.004333
[135/5000][95/535][13568] Loss_D: -0.045630 Loss_G: 0.011405 Loss_D_real: -0.024299 Loss_D_fake 0.021331
[135/5000][100/535][13569] Loss_D: -0.042891 Loss_G: 0.039503 Loss_D_real: -0.038787 Loss_D_fake 0.004104
[135/5000][105/535][13570] Loss_D: -0.042103 Loss_G: -0.006050 Loss_D_real: -0.010232 Loss_D_fake 0.031871
[135/5000][110/535][13571] Loss_D: -0.041647 Loss_G: 0.038443 Loss_D_real: -0.035336 Loss_D_fake 0.006311
[135/5000][115/535][13572] Loss_D: -0.043849 Loss_G: 0.016078 Loss_D_real: -0.014130 Loss_D_fake 0.029720
[135/5000][120/535][13573] Loss_D: -0.042183 Loss_G: 0.009163 Loss_D_real: -0.016756 Loss_D_fake 0.025427
[135/5000][125/535][13574] Loss_D: -0.041653 Loss_G: 0.030274 Loss_D_real: -0.037950 Loss_D_fake 0.003703
[135/5000][130/535][13575] Loss_D: -0.041800 Loss_G: 0.035832 Loss_D_real: -0.037014 Loss_D_fake 0.004785
[135/5000][135/535][13576] Loss_D: -0.042193 Loss_G: 0.004971 Loss_D_real: -0.013050 Loss_D_fake 0.029143
[135/5000][140/535][13577] Loss_D: -0.042382 Loss_G: 0.001832 Loss_D_real: -0.008846 Loss_D_fake 0.033535
[135/5000][145/535][13578] Loss_D: -0.040840 Loss_G: 0.040409 Loss_D_real: -0.037120 Loss_D_fake 0.003720
[135/5000][150/535][13579] Loss_D: -0.042221 Loss_G: 0.026304 Loss_D_real: -0.026343 Loss_D_fake 0.015878
[135/5000][155/535][13580] Loss_D: -0.045533 Loss_G: 0.027283 Loss_D_real: -0.028021 Loss_D_fake 0.017511
[135/5000][160/535][13581] Loss_D: -0.043249 Loss_G: 0.025602 Loss_D_real: -0.031690 Loss_D_fake 0.011559
[135/5000][165/535][13582] Loss_D: -0.044537 Loss_G: 0.029538 Loss_D_real: -0.030569 Loss_D_fake 0.013968
[135/5000][170/535][13583] Loss_D: -0.044843 Loss_G: 0.027478 Loss_D_real: -0.028209 Loss_D_fake 0.016634
[135/5000][175/535][13584] Loss_D: -0.044138 Loss_G: 0.021962 Loss_D_real: -0.027762 Loss_D_fake 0.016376
[135/5000][180/535][13585] Loss_D: -0.044041 Loss_G: 0.031547 Loss_D_real: -0.032127 Loss_D_fake 0.011914
[135/5000][185/535][13586] Loss_D: -0.043132 Loss_G: -0.005998 Loss_D_real: -0.013078 Loss_D_fake 0.030054
[135/5000][190/535][13587] Loss_D: -0.042788 Loss_G: 0.040864 Loss_D_real: -0.036685 Loss_D_fake 0.006103
[135/5000][195/535][13588] Loss_D: -0.044004 Loss_G: 0.011969 Loss_D_real: -0.017142 Loss_D_fake 0.026862
[135/5000][200/535][13589] Loss_D: -0.043305 Loss_G: 0.017734 Loss_D_real: -0.026756 Loss_D_fake 0.016549
[135/5000][205/535][13590] Loss_D: -0.040076 Loss_G: 0.055907 Loss_D_real: -0.047938 Loss_D_fake -0.007862
[135/5000][210/535][13591] Loss_D: -0.042250 Loss_G: 0.004121 Loss_D_real: -0.006590 Loss_D_fake 0.035659
[135/5000][215/535][13592] Loss_D: -0.041677 Loss_G: 0.037449 Loss_D_real: -0.043140 Loss_D_fake -0.001463
[135/5000][220/535][13593] Loss_D: -0.042347 Loss_G: 0.028485 Loss_D_real: -0.035699 Loss_D_fake 0.006648
[135/5000][225/535][13594] Loss_D: -0.040725 Loss_G: 0.049874 Loss_D_real: -0.047552 Loss_D_fake -0.006826
[135/5000][230/535][13595] Loss_D: -0.041469 Loss_G: -0.002179 Loss_D_real: -0.004038 Loss_D_fake 0.037431
[135/5000][235/535][13596] Loss_D: -0.042596 Loss_G: 0.026655 Loss_D_real: -0.032518 Loss_D_fake 0.010078
[135/5000][240/535][13597] Loss_D: -0.042146 Loss_G: 0.021257 Loss_D_real: -0.017553 Loss_D_fake 0.024593
[135/5000][245/535][13598] Loss_D: -0.043146 Loss_G: 0.010628 Loss_D_real: -0.018511 Loss_D_fake 0.024635
[135/5000][250/535][13599] Loss_D: -0.042910 Loss_G: 0.050783 Loss_D_real: -0.046285 Loss_D_fake -0.003375
[135/5000][255/535][13600] Loss_D: -0.045112 Loss_G: 0.022032 Loss_D_real: -0.025046 Loss_D_fake 0.020066
[135/5000][260/535][13601] Loss_D: -0.043619 Loss_G: 0.048109 Loss_D_real: -0.041676 Loss_D_fake 0.001943
[135/5000][265/535][13602] Loss_D: -0.043639 Loss_G: 0.028818 Loss_D_real: -0.033175 Loss_D_fake 0.010464
[135/5000][270/535][13603] Loss_D: -0.043630 Loss_G: 0.007986 Loss_D_real: -0.014945 Loss_D_fake 0.028685
[135/5000][275/535][13604] Loss_D: -0.043275 Loss_G: 0.003965 Loss_D_real: -0.012278 Loss_D_fake 0.030996
[135/5000][280/535][13605] Loss_D: -0.043821 Loss_G: 0.033614 Loss_D_real: -0.032496 Loss_D_fake 0.011325
[135/5000][285/535][13606] Loss_D: -0.041747 Loss_G: -0.016609 Loss_D_real: 0.005970 Loss_D_fake 0.047717
[135/5000][290/535][13607] Loss_D: -0.040790 Loss_G: 0.028836 Loss_D_real: -0.036811 Loss_D_fake 0.003979
[135/5000][295/535][13608] Loss_D: -0.042874 Loss_G: 0.004698 Loss_D_real: -0.013182 Loss_D_fake 0.029692
[135/5000][300/535][13609] Loss_D: -0.042482 Loss_G: 0.037982 Loss_D_real: -0.034424 Loss_D_fake 0.008058
[135/5000][305/535][13610] Loss_D: -0.041706 Loss_G: 0.020949 Loss_D_real: -0.026908 Loss_D_fake 0.014798
[135/5000][310/535][13611] Loss_D: -0.043550 Loss_G: 0.030643 Loss_D_real: -0.026429 Loss_D_fake 0.017121
[135/5000][315/535][13612] Loss_D: -0.043799 Loss_G: 0.000358 Loss_D_real: -0.014527 Loss_D_fake 0.029272
[135/5000][320/535][13613] Loss_D: -0.042772 Loss_G: 0.036876 Loss_D_real: -0.033863 Loss_D_fake 0.008909
[135/5000][325/535][13614] Loss_D: -0.042413 Loss_G: 0.045544 Loss_D_real: -0.036666 Loss_D_fake 0.005747
[135/5000][330/535][13615] Loss_D: -0.041962 Loss_G: 0.002599 Loss_D_real: -0.013137 Loss_D_fake 0.028824
[135/5000][335/535][13616] Loss_D: -0.044401 Loss_G: 0.030692 Loss_D_real: -0.027229 Loss_D_fake 0.017173
[135/5000][340/535][13617] Loss_D: -0.041590 Loss_G: -0.008463 Loss_D_real: -0.006020 Loss_D_fake 0.035570
[135/5000][345/535][13618] Loss_D: -0.042225 Loss_G: 0.032714 Loss_D_real: -0.034571 Loss_D_fake 0.007654
[135/5000][350/535][13619] Loss_D: -0.042806 Loss_G: -0.002917 Loss_D_real: -0.008585 Loss_D_fake 0.034221
[135/5000][355/535][13620] Loss_D: -0.041151 Loss_G: 0.051429 Loss_D_real: -0.045587 Loss_D_fake -0.004436
[135/5000][360/535][13621] Loss_D: -0.042472 Loss_G: 0.033893 Loss_D_real: -0.028228 Loss_D_fake 0.014243
[135/5000][365/535][13622] Loss_D: -0.043907 Loss_G: 0.021047 Loss_D_real: -0.023913 Loss_D_fake 0.019994
[135/5000][370/535][13623] Loss_D: -0.041570 Loss_G: 0.046403 Loss_D_real: -0.049761 Loss_D_fake -0.008191
[135/5000][375/535][13624] Loss_D: -0.042783 Loss_G: -0.008028 Loss_D_real: 0.001112 Loss_D_fake 0.043895
[135/5000][380/535][13625] Loss_D: -0.039724 Loss_G: 0.041090 Loss_D_real: -0.034256 Loss_D_fake 0.005468
[135/5000][385/535][13626] Loss_D: -0.041829 Loss_G: -0.005184 Loss_D_real: -0.010995 Loss_D_fake 0.030834
[135/5000][390/535][13627] Loss_D: -0.040167 Loss_G: 0.027766 Loss_D_real: -0.031322 Loss_D_fake 0.008844
[135/5000][395/535][13628] Loss_D: -0.040360 Loss_G: 0.019178 Loss_D_real: -0.022202 Loss_D_fake 0.018158
[135/5000][400/535][13629] Loss_D: -0.042890 Loss_G: 0.014992 Loss_D_real: -0.020017 Loss_D_fake 0.022874
[135/5000][405/535][13630] Loss_D: -0.043013 Loss_G: 0.025665 Loss_D_real: -0.025848 Loss_D_fake 0.017165
[135/5000][410/535][13631] Loss_D: -0.043573 Loss_G: 0.025346 Loss_D_real: -0.025612 Loss_D_fake 0.017961
[135/5000][415/535][13632] Loss_D: -0.045375 Loss_G: 0.036658 Loss_D_real: -0.037365 Loss_D_fake 0.008010
[135/5000][420/535][13633] Loss_D: -0.045708 Loss_G: 0.008645 Loss_D_real: -0.019499 Loss_D_fake 0.026209
[135/5000][425/535][13634] Loss_D: -0.040094 Loss_G: 0.051682 Loss_D_real: -0.051063 Loss_D_fake -0.010969
[135/5000][430/535][13635] Loss_D: -0.041787 Loss_G: -0.002195 Loss_D_real: -0.010160 Loss_D_fake 0.031628
[135/5000][435/535][13636] Loss_D: -0.040751 Loss_G: 0.031585 Loss_D_real: -0.032531 Loss_D_fake 0.008219
[135/5000][440/535][13637] Loss_D: -0.043331 Loss_G: 0.010666 Loss_D_real: -0.015936 Loss_D_fake 0.027395
[135/5000][445/535][13638] Loss_D: -0.041622 Loss_G: 0.026452 Loss_D_real: -0.028940 Loss_D_fake 0.012683
[135/5000][450/535][13639] Loss_D: -0.042004 Loss_G: 0.033394 Loss_D_real: -0.032604 Loss_D_fake 0.009400
[135/5000][455/535][13640] Loss_D: -0.042269 Loss_G: -0.006098 Loss_D_real: -0.002637 Loss_D_fake 0.039632
[135/5000][460/535][13641] Loss_D: -0.040561 Loss_G: 0.032244 Loss_D_real: -0.033200 Loss_D_fake 0.007361
[135/5000][465/535][13642] Loss_D: -0.041054 Loss_G: 0.012448 Loss_D_real: -0.019387 Loss_D_fake 0.021667
[135/5000][470/535][13643] Loss_D: -0.042383 Loss_G: 0.034237 Loss_D_real: -0.032864 Loss_D_fake 0.009519
[135/5000][475/535][13644] Loss_D: -0.040886 Loss_G: 0.001830 Loss_D_real: -0.007018 Loss_D_fake 0.033867
[135/5000][480/535][13645] Loss_D: -0.044813 Loss_G: 0.030667 Loss_D_real: -0.033785 Loss_D_fake 0.011027
[135/5000][485/535][13646] Loss_D: -0.043619 Loss_G: 0.002016 Loss_D_real: -0.008257 Loss_D_fake 0.035363
[135/5000][490/535][13647] Loss_D: -0.042726 Loss_G: 0.029429 Loss_D_real: -0.030928 Loss_D_fake 0.011798
[135/5000][495/535][13648] Loss_D: -0.042137 Loss_G: 0.002546 Loss_D_real: -0.008632 Loss_D_fake 0.033504
[135/5000][500/535][13649] Loss_D: -0.040325 Loss_G: 0.015927 Loss_D_real: -0.028776 Loss_D_fake 0.011549
[135/5000][505/535][13650] Loss_D: -0.041826 Loss_G: 0.010401 Loss_D_real: -0.017705 Loss_D_fake 0.024122
[135/5000][510/535][13651] Loss_D: -0.043339 Loss_G: 0.023587 Loss_D_real: -0.024867 Loss_D_fake 0.018472
[135/5000][515/535][13652] Loss_D: -0.041847 Loss_G: 0.004459 Loss_D_real: -0.011566 Loss_D_fake 0.030281
[135/5000][520/535][13653] Loss_D: -0.040778 Loss_G: 0.049032 Loss_D_real: -0.050143 Loss_D_fake -0.009365
[135/5000][525/535][13654] Loss_D: -0.041664 Loss_G: 0.009042 Loss_D_real: -0.014549 Loss_D_fake 0.027115
[135/5000][530/535][13655] Loss_D: -0.041936 Loss_G: 0.036631 Loss_D_real: -0.038728 Loss_D_fake 0.003208
[135/5000][535/535][13656] Loss_D: -0.037554 Loss_G: -0.016744 Loss_D_real: -0.003328 Loss_D_fake 0.034226
[136/5000][5/535][13657] Loss_D: -0.041801 Loss_G: 0.027749 Loss_D_real: -0.024503 Loss_D_fake 0.017299
[136/5000][10/535][13658] Loss_D: -0.040785 Loss_G: 0.010349 Loss_D_real: -0.012877 Loss_D_fake 0.027908
[136/5000][15/535][13659] Loss_D: -0.042883 Loss_G: 0.031443 Loss_D_real: -0.033690 Loss_D_fake 0.009193
[136/5000][20/535][13660] Loss_D: -0.042196 Loss_G: 0.009666 Loss_D_real: -0.017055 Loss_D_fake 0.025141
[136/5000][25/535][13661] Loss_D: -0.042723 Loss_G: 0.032325 Loss_D_real: -0.029678 Loss_D_fake 0.013045
[136/5000][30/535][13662] Loss_D: -0.042817 Loss_G: 0.015180 Loss_D_real: -0.022591 Loss_D_fake 0.020226
[136/5000][35/535][13663] Loss_D: -0.042161 Loss_G: 0.028237 Loss_D_real: -0.028366 Loss_D_fake 0.013795
[136/5000][40/535][13664] Loss_D: -0.042456 Loss_G: 0.028931 Loss_D_real: -0.026089 Loss_D_fake 0.016368
[136/5000][45/535][13665] Loss_D: -0.043747 Loss_G: 0.011989 Loss_D_real: -0.017351 Loss_D_fake 0.026395
[136/5000][50/535][13666] Loss_D: -0.043933 Loss_G: 0.029202 Loss_D_real: -0.027788 Loss_D_fake 0.016145
[136/5000][55/535][13667] Loss_D: -0.047690 Loss_G: 0.029248 Loss_D_real: -0.027693 Loss_D_fake 0.019997
[136/5000][60/535][13668] Loss_D: -0.043101 Loss_G: 0.051821 Loss_D_real: -0.038966 Loss_D_fake 0.004136
[136/5000][65/535][13669] Loss_D: -0.040374 Loss_G: -0.016507 Loss_D_real: 0.006487 Loss_D_fake 0.046861
[136/5000][70/535][13670] Loss_D: -0.040541 Loss_G: 0.033604 Loss_D_real: -0.034969 Loss_D_fake 0.005572
[136/5000][75/535][13671] Loss_D: -0.041867 Loss_G: 0.022749 Loss_D_real: -0.018985 Loss_D_fake 0.022881
[136/5000][80/535][13672] Loss_D: -0.044610 Loss_G: 0.039280 Loss_D_real: -0.032323 Loss_D_fake 0.012287
[136/5000][85/535][13673] Loss_D: -0.045420 Loss_G: 0.034317 Loss_D_real: -0.034677 Loss_D_fake 0.010743
[136/5000][90/535][13674] Loss_D: -0.046533 Loss_G: 0.026525 Loss_D_real: -0.027069 Loss_D_fake 0.019464
[136/5000][95/535][13675] Loss_D: -0.042640 Loss_G: 0.030687 Loss_D_real: -0.032263 Loss_D_fake 0.010378
[136/5000][100/535][13676] Loss_D: -0.040949 Loss_G: 0.055040 Loss_D_real: -0.052910 Loss_D_fake -0.011961
[136/5000][105/535][13677] Loss_D: -0.041060 Loss_G: 0.003778 Loss_D_real: -0.003652 Loss_D_fake 0.037408
[136/5000][110/535][13678] Loss_D: -0.040627 Loss_G: 0.042741 Loss_D_real: -0.037952 Loss_D_fake 0.002675
[136/5000][115/535][13679] Loss_D: -0.041949 Loss_G: -0.000536 Loss_D_real: -0.009124 Loss_D_fake 0.032825
[136/5000][120/535][13680] Loss_D: -0.039884 Loss_G: 0.040601 Loss_D_real: -0.038150 Loss_D_fake 0.001734
[136/5000][125/535][13681] Loss_D: -0.041936 Loss_G: 0.004915 Loss_D_real: -0.015571 Loss_D_fake 0.026365
[136/5000][130/535][13682] Loss_D: -0.041642 Loss_G: 0.031224 Loss_D_real: -0.027677 Loss_D_fake 0.013965
[136/5000][135/535][13683] Loss_D: -0.039545 Loss_G: 0.004124 Loss_D_real: -0.010712 Loss_D_fake 0.028833
[136/5000][140/535][13684] Loss_D: -0.040659 Loss_G: 0.018895 Loss_D_real: -0.024888 Loss_D_fake 0.015771
[136/5000][145/535][13685] Loss_D: -0.041333 Loss_G: 0.001767 Loss_D_real: -0.012106 Loss_D_fake 0.029228
[136/5000][150/535][13686] Loss_D: -0.042885 Loss_G: 0.029847 Loss_D_real: -0.034755 Loss_D_fake 0.008130
[136/5000][155/535][13687] Loss_D: -0.044653 Loss_G: 0.026642 Loss_D_real: -0.027909 Loss_D_fake 0.016744
[136/5000][160/535][13688] Loss_D: -0.042260 Loss_G: -0.017633 Loss_D_real: 0.000456 Loss_D_fake 0.042716
[136/5000][165/535][13689] Loss_D: -0.042359 Loss_G: 0.042254 Loss_D_real: -0.040700 Loss_D_fake 0.001660
[136/5000][170/535][13690] Loss_D: -0.038786 Loss_G: 0.048765 Loss_D_real: -0.050293 Loss_D_fake -0.011507
[136/5000][175/535][13691] Loss_D: -0.043292 Loss_G: -0.012706 Loss_D_real: -0.004623 Loss_D_fake 0.038670
[136/5000][180/535][13692] Loss_D: -0.042532 Loss_G: 0.028312 Loss_D_real: -0.033609 Loss_D_fake 0.008923
[136/5000][185/535][13693] Loss_D: -0.043812 Loss_G: 0.029197 Loss_D_real: -0.025655 Loss_D_fake 0.018157
[136/5000][190/535][13694] Loss_D: -0.043821 Loss_G: 0.008288 Loss_D_real: -0.009354 Loss_D_fake 0.034467
[136/5000][195/535][13695] Loss_D: -0.044735 Loss_G: 0.040042 Loss_D_real: -0.037207 Loss_D_fake 0.007528
[136/5000][200/535][13696] Loss_D: -0.043401 Loss_G: 0.006340 Loss_D_real: -0.015964 Loss_D_fake 0.027438
[136/5000][205/535][13697] Loss_D: -0.042217 Loss_G: 0.020357 Loss_D_real: -0.021447 Loss_D_fake 0.020770
[136/5000][210/535][13698] Loss_D: -0.045066 Loss_G: 0.027974 Loss_D_real: -0.027753 Loss_D_fake 0.017313
[136/5000][215/535][13699] Loss_D: -0.041453 Loss_G: 0.047267 Loss_D_real: -0.043777 Loss_D_fake -0.002323
[136/5000][220/535][13700] Loss_D: -0.041888 Loss_G: 0.010390 Loss_D_real: -0.012407 Loss_D_fake 0.029481
[136/5000][225/535][13701] Loss_D: -0.044268 Loss_G: 0.023513 Loss_D_real: -0.031460 Loss_D_fake 0.012808
[136/5000][230/535][13702] Loss_D: -0.043180 Loss_G: 0.014114 Loss_D_real: -0.016912 Loss_D_fake 0.026268
[136/5000][235/535][13703] Loss_D: -0.042884 Loss_G: 0.049826 Loss_D_real: -0.041532 Loss_D_fake 0.001352
[136/5000][240/535][13704] Loss_D: -0.042113 Loss_G: -0.008580 Loss_D_real: -0.002799 Loss_D_fake 0.039314
[136/5000][245/535][13705] Loss_D: -0.042829 Loss_G: 0.042749 Loss_D_real: -0.036791 Loss_D_fake 0.006037
[136/5000][250/535][13706] Loss_D: -0.042132 Loss_G: -0.002060 Loss_D_real: -0.004828 Loss_D_fake 0.037304
[136/5000][255/535][13707] Loss_D: -0.042114 Loss_G: 0.032344 Loss_D_real: -0.033006 Loss_D_fake 0.009108
[136/5000][260/535][13708] Loss_D: -0.042140 Loss_G: 0.009281 Loss_D_real: -0.018291 Loss_D_fake 0.023849
[136/5000][265/535][13709] Loss_D: -0.042984 Loss_G: 0.020745 Loss_D_real: -0.031408 Loss_D_fake 0.011576
[136/5000][270/535][13710] Loss_D: -0.044554 Loss_G: 0.016479 Loss_D_real: -0.021187 Loss_D_fake 0.023367
[136/5000][275/535][13711] Loss_D: -0.043402 Loss_G: 0.013954 Loss_D_real: -0.013785 Loss_D_fake 0.029617
[136/5000][280/535][13712] Loss_D: -0.042859 Loss_G: 0.011107 Loss_D_real: -0.019473 Loss_D_fake 0.023387
[136/5000][285/535][13713] Loss_D: -0.041529 Loss_G: 0.005579 Loss_D_real: -0.012984 Loss_D_fake 0.028545
[136/5000][290/535][13714] Loss_D: -0.043778 Loss_G: 0.025950 Loss_D_real: -0.022058 Loss_D_fake 0.021720
[136/5000][295/535][13715] Loss_D: -0.041399 Loss_G: 0.007081 Loss_D_real: -0.025397 Loss_D_fake 0.016002
[136/5000][300/535][13716] Loss_D: -0.042180 Loss_G: 0.050919 Loss_D_real: -0.040979 Loss_D_fake 0.001200
[136/5000][305/535][13717] Loss_D: -0.042216 Loss_G: -0.008735 Loss_D_real: 0.002168 Loss_D_fake 0.044384
[136/5000][310/535][13718] Loss_D: -0.041133 Loss_G: 0.035554 Loss_D_real: -0.037132 Loss_D_fake 0.004002
[136/5000][315/535][13719] Loss_D: -0.041402 Loss_G: 0.026917 Loss_D_real: -0.026394 Loss_D_fake 0.015008
[136/5000][320/535][13720] Loss_D: -0.044131 Loss_G: 0.002612 Loss_D_real: -0.004205 Loss_D_fake 0.039926
[136/5000][325/535][13721] Loss_D: -0.041443 Loss_G: 0.043181 Loss_D_real: -0.039029 Loss_D_fake 0.002415
[136/5000][330/535][13722] Loss_D: -0.042176 Loss_G: -0.010362 Loss_D_real: -0.005823 Loss_D_fake 0.036352
[136/5000][335/535][13723] Loss_D: -0.041217 Loss_G: 0.039452 Loss_D_real: -0.034362 Loss_D_fake 0.006855
[136/5000][340/535][13724] Loss_D: -0.041370 Loss_G: 0.001881 Loss_D_real: -0.010556 Loss_D_fake 0.030814
[136/5000][345/535][13725] Loss_D: -0.042401 Loss_G: 0.033636 Loss_D_real: -0.034867 Loss_D_fake 0.007535
[136/5000][350/535][13726] Loss_D: -0.041483 Loss_G: -0.000376 Loss_D_real: -0.013255 Loss_D_fake 0.028227
[136/5000][355/535][13727] Loss_D: -0.040202 Loss_G: 0.037766 Loss_D_real: -0.040505 Loss_D_fake -0.000303
[136/5000][360/535][13728] Loss_D: -0.041217 Loss_G: 0.025178 Loss_D_real: -0.027666 Loss_D_fake 0.013551
[136/5000][365/535][13729] Loss_D: -0.042417 Loss_G: 0.029550 Loss_D_real: -0.036070 Loss_D_fake 0.006347
[136/5000][370/535][13730] Loss_D: -0.041536 Loss_G: 0.009250 Loss_D_real: -0.019657 Loss_D_fake 0.021879
[136/5000][375/535][13731] Loss_D: -0.039444 Loss_G: 0.028378 Loss_D_real: -0.035707 Loss_D_fake 0.003737
[136/5000][380/535][13732] Loss_D: -0.043594 Loss_G: 0.013545 Loss_D_real: -0.019096 Loss_D_fake 0.024498
[136/5000][385/535][13733] Loss_D: -0.039204 Loss_G: 0.042136 Loss_D_real: -0.041548 Loss_D_fake -0.002344
[136/5000][390/535][13734] Loss_D: -0.039243 Loss_G: 0.010974 Loss_D_real: -0.010668 Loss_D_fake 0.028575
[136/5000][395/535][13735] Loss_D: -0.041958 Loss_G: 0.026556 Loss_D_real: -0.026972 Loss_D_fake 0.014986
[136/5000][400/535][13736] Loss_D: -0.041817 Loss_G: 0.002262 Loss_D_real: -0.007868 Loss_D_fake 0.033949
[136/5000][405/535][13737] Loss_D: -0.039786 Loss_G: 0.031991 Loss_D_real: -0.030090 Loss_D_fake 0.009695
[136/5000][410/535][13738] Loss_D: -0.038661 Loss_G: 0.008042 Loss_D_real: -0.014108 Loss_D_fake 0.024553
[136/5000][415/535][13739] Loss_D: -0.042799 Loss_G: 0.015871 Loss_D_real: -0.018438 Loss_D_fake 0.024360
[136/5000][420/535][13740] Loss_D: -0.042813 Loss_G: 0.042707 Loss_D_real: -0.036826 Loss_D_fake 0.005987
[136/5000][425/535][13741] Loss_D: -0.044129 Loss_G: 0.012242 Loss_D_real: -0.017601 Loss_D_fake 0.026527
[136/5000][430/535][13742] Loss_D: -0.044978 Loss_G: 0.021886 Loss_D_real: -0.027885 Loss_D_fake 0.017093
[136/5000][435/535][13743] Loss_D: -0.042332 Loss_G: 0.054878 Loss_D_real: -0.048089 Loss_D_fake -0.005756
[136/5000][440/535][13744] Loss_D: -0.041236 Loss_G: -0.010959 Loss_D_real: -0.001259 Loss_D_fake 0.039977
[136/5000][445/535][13745] Loss_D: -0.041504 Loss_G: 0.017514 Loss_D_real: -0.021593 Loss_D_fake 0.019912
[136/5000][450/535][13746] Loss_D: -0.043148 Loss_G: 0.044120 Loss_D_real: -0.034985 Loss_D_fake 0.008163
[136/5000][455/535][13747] Loss_D: -0.044952 Loss_G: -0.010519 Loss_D_real: -0.004520 Loss_D_fake 0.040431
[136/5000][460/535][13748] Loss_D: -0.039787 Loss_G: 0.035871 Loss_D_real: -0.043050 Loss_D_fake -0.003263
[136/5000][465/535][13749] Loss_D: -0.041566 Loss_G: 0.020830 Loss_D_real: -0.018219 Loss_D_fake 0.023347
[136/5000][470/535][13750] Loss_D: -0.043107 Loss_G: 0.050747 Loss_D_real: -0.041000 Loss_D_fake 0.002107
[136/5000][475/535][13751] Loss_D: -0.042638 Loss_G: -0.003986 Loss_D_real: -0.010394 Loss_D_fake 0.032245
[136/5000][480/535][13752] Loss_D: -0.042191 Loss_G: 0.018303 Loss_D_real: -0.023616 Loss_D_fake 0.018575
[136/5000][485/535][13753] Loss_D: -0.040714 Loss_G: 0.044290 Loss_D_real: -0.045677 Loss_D_fake -0.004963
[136/5000][490/535][13754] Loss_D: -0.044776 Loss_G: 0.026811 Loss_D_real: -0.030372 Loss_D_fake 0.014405
[136/5000][495/535][13755] Loss_D: -0.045527 Loss_G: 0.026338 Loss_D_real: -0.025265 Loss_D_fake 0.020262
[136/5000][500/535][13756] Loss_D: -0.043397 Loss_G: 0.003039 Loss_D_real: -0.008663 Loss_D_fake 0.034735
[136/5000][505/535][13757] Loss_D: -0.041817 Loss_G: 0.051111 Loss_D_real: -0.043594 Loss_D_fake -0.001777
[136/5000][510/535][13758] Loss_D: -0.042978 Loss_G: -0.000459 Loss_D_real: -0.012709 Loss_D_fake 0.030268
[136/5000][515/535][13759] Loss_D: -0.042275 Loss_G: 0.043855 Loss_D_real: -0.040193 Loss_D_fake 0.002083
[136/5000][520/535][13760] Loss_D: -0.042643 Loss_G: 0.021309 Loss_D_real: -0.021269 Loss_D_fake 0.021374
[136/5000][525/535][13761] Loss_D: -0.042605 Loss_G: 0.031135 Loss_D_real: -0.032735 Loss_D_fake 0.009870
[136/5000][530/535][13762] Loss_D: -0.044210 Loss_G: 0.016130 Loss_D_real: -0.025276 Loss_D_fake 0.018933
[136/5000][535/535][13763] Loss_D: -0.047183 Loss_G: 0.040917 Loss_D_real: -0.037948 Loss_D_fake 0.009235
[137/5000][5/535][13764] Loss_D: -0.044660 Loss_G: 0.006526 Loss_D_real: -0.009240 Loss_D_fake 0.035420
[137/5000][10/535][13765] Loss_D: -0.040166 Loss_G: 0.031498 Loss_D_real: -0.030497 Loss_D_fake 0.009668
[137/5000][15/535][13766] Loss_D: -0.040308 Loss_G: -0.008630 Loss_D_real: -0.002517 Loss_D_fake 0.037791
[137/5000][20/535][13767] Loss_D: -0.038235 Loss_G: 0.041958 Loss_D_real: -0.038132 Loss_D_fake 0.000102
[137/5000][25/535][13768] Loss_D: -0.042972 Loss_G: 0.019011 Loss_D_real: -0.027678 Loss_D_fake 0.015295
[137/5000][30/535][13769] Loss_D: -0.044288 Loss_G: 0.039597 Loss_D_real: -0.039406 Loss_D_fake 0.004882
[137/5000][35/535][13770] Loss_D: -0.042240 Loss_G: 0.024944 Loss_D_real: -0.027043 Loss_D_fake 0.015197
[137/5000][40/535][13771] Loss_D: -0.043061 Loss_G: 0.029610 Loss_D_real: -0.030654 Loss_D_fake 0.012407
[137/5000][45/535][13772] Loss_D: -0.042324 Loss_G: 0.054022 Loss_D_real: -0.045724 Loss_D_fake -0.003400
[137/5000][50/535][13773] Loss_D: -0.041475 Loss_G: 0.010088 Loss_D_real: -0.013913 Loss_D_fake 0.027562
[137/5000][55/535][13774] Loss_D: -0.042887 Loss_G: 0.038174 Loss_D_real: -0.038225 Loss_D_fake 0.004662
[137/5000][60/535][13775] Loss_D: -0.042446 Loss_G: 0.005615 Loss_D_real: -0.017094 Loss_D_fake 0.025352
[137/5000][65/535][13776] Loss_D: -0.040644 Loss_G: 0.046409 Loss_D_real: -0.047638 Loss_D_fake -0.006994
[137/5000][70/535][13777] Loss_D: -0.043150 Loss_G: -0.009511 Loss_D_real: -0.005259 Loss_D_fake 0.037891
[137/5000][75/535][13778] Loss_D: -0.039851 Loss_G: 0.025148 Loss_D_real: -0.028821 Loss_D_fake 0.011030
[137/5000][80/535][13779] Loss_D: -0.038935 Loss_G: -0.015489 Loss_D_real: -0.004378 Loss_D_fake 0.034557
[137/5000][85/535][13780] Loss_D: -0.041870 Loss_G: 0.016932 Loss_D_real: -0.019527 Loss_D_fake 0.022343
[137/5000][90/535][13781] Loss_D: -0.041369 Loss_G: 0.009286 Loss_D_real: -0.012249 Loss_D_fake 0.029120
[137/5000][95/535][13782] Loss_D: -0.042164 Loss_G: 0.015266 Loss_D_real: -0.024337 Loss_D_fake 0.017827
[137/5000][100/535][13783] Loss_D: -0.042026 Loss_G: 0.013572 Loss_D_real: -0.019406 Loss_D_fake 0.022620
[137/5000][105/535][13784] Loss_D: -0.042802 Loss_G: 0.019981 Loss_D_real: -0.022042 Loss_D_fake 0.020761
[137/5000][110/535][13785] Loss_D: -0.041036 Loss_G: 0.007713 Loss_D_real: -0.019072 Loss_D_fake 0.021964
[137/5000][115/535][13786] Loss_D: -0.041721 Loss_G: 0.018387 Loss_D_real: -0.020518 Loss_D_fake 0.021202
[137/5000][120/535][13787] Loss_D: -0.043862 Loss_G: 0.038706 Loss_D_real: -0.036855 Loss_D_fake 0.007006
[137/5000][125/535][13788] Loss_D: -0.043861 Loss_G: 0.025560 Loss_D_real: -0.024191 Loss_D_fake 0.019670
[137/5000][130/535][13789] Loss_D: -0.040410 Loss_G: 0.048369 Loss_D_real: -0.047202 Loss_D_fake -0.006793
[137/5000][135/535][13790] Loss_D: -0.041347 Loss_G: 0.001032 Loss_D_real: -0.009743 Loss_D_fake 0.031605
[137/5000][140/535][13791] Loss_D: -0.040371 Loss_G: 0.039222 Loss_D_real: -0.042203 Loss_D_fake -0.001831
[137/5000][145/535][13792] Loss_D: -0.041934 Loss_G: 0.015678 Loss_D_real: -0.018143 Loss_D_fake 0.023791
[137/5000][150/535][13793] Loss_D: -0.039932 Loss_G: 0.045325 Loss_D_real: -0.049924 Loss_D_fake -0.009992
[137/5000][155/535][13794] Loss_D: -0.041812 Loss_G: 0.018081 Loss_D_real: -0.022387 Loss_D_fake 0.019425
[137/5000][160/535][13795] Loss_D: -0.042481 Loss_G: 0.015388 Loss_D_real: -0.024275 Loss_D_fake 0.018206
[137/5000][165/535][13796] Loss_D: -0.042653 Loss_G: 0.042861 Loss_D_real: -0.039343 Loss_D_fake 0.003311
[137/5000][170/535][13797] Loss_D: -0.044229 Loss_G: 0.024712 Loss_D_real: -0.027930 Loss_D_fake 0.016299
[137/5000][175/535][13798] Loss_D: -0.042907 Loss_G: -0.001609 Loss_D_real: -0.008933 Loss_D_fake 0.033974
[137/5000][180/535][13799] Loss_D: -0.041289 Loss_G: 0.005590 Loss_D_real: -0.016962 Loss_D_fake 0.024327
[137/5000][185/535][13800] Loss_D: -0.039654 Loss_G: 0.032355 Loss_D_real: -0.037291 Loss_D_fake 0.002363
[137/5000][190/535][13801] Loss_D: -0.042724 Loss_G: 0.025866 Loss_D_real: -0.022838 Loss_D_fake 0.019887
[137/5000][195/535][13802] Loss_D: -0.042151 Loss_G: -0.006339 Loss_D_real: -0.005014 Loss_D_fake 0.037137
[137/5000][200/535][13803] Loss_D: -0.038729 Loss_G: 0.039707 Loss_D_real: -0.041144 Loss_D_fake -0.002415
[137/5000][205/535][13804] Loss_D: -0.041795 Loss_G: -0.006757 Loss_D_real: -0.004542 Loss_D_fake 0.037253
[137/5000][210/535][13805] Loss_D: -0.043939 Loss_G: 0.031123 Loss_D_real: -0.038735 Loss_D_fake 0.005204
[137/5000][215/535][13806] Loss_D: -0.044821 Loss_G: 0.024171 Loss_D_real: -0.026333 Loss_D_fake 0.018488
[137/5000][220/535][13807] Loss_D: -0.043761 Loss_G: 0.037335 Loss_D_real: -0.031631 Loss_D_fake 0.012130
[137/5000][225/535][13808] Loss_D: -0.042530 Loss_G: 0.033656 Loss_D_real: -0.035756 Loss_D_fake 0.006774
[137/5000][230/535][13809] Loss_D: -0.042668 Loss_G: 0.028610 Loss_D_real: -0.027417 Loss_D_fake 0.015252
[137/5000][235/535][13810] Loss_D: -0.043814 Loss_G: 0.008895 Loss_D_real: -0.020489 Loss_D_fake 0.023326
[137/5000][240/535][13811] Loss_D: -0.044591 Loss_G: 0.020559 Loss_D_real: -0.022531 Loss_D_fake 0.022060
[137/5000][245/535][13812] Loss_D: -0.042776 Loss_G: 0.010065 Loss_D_real: -0.016046 Loss_D_fake 0.026730
[137/5000][250/535][13813] Loss_D: -0.042640 Loss_G: 0.038752 Loss_D_real: -0.032474 Loss_D_fake 0.010166
[137/5000][255/535][13814] Loss_D: -0.041781 Loss_G: -0.000811 Loss_D_real: -0.012804 Loss_D_fake 0.028977
[137/5000][260/535][13815] Loss_D: -0.040286 Loss_G: 0.048915 Loss_D_real: -0.044070 Loss_D_fake -0.003784
[137/5000][265/535][13816] Loss_D: -0.040565 Loss_G: -0.007627 Loss_D_real: -0.002754 Loss_D_fake 0.037811
[137/5000][270/535][13817] Loss_D: -0.041427 Loss_G: 0.012820 Loss_D_real: -0.028161 Loss_D_fake 0.013266
[137/5000][275/535][13818] Loss_D: -0.040285 Loss_G: 0.035604 Loss_D_real: -0.035344 Loss_D_fake 0.004942
[137/5000][280/535][13819] Loss_D: -0.042755 Loss_G: 0.010260 Loss_D_real: -0.017770 Loss_D_fake 0.024985
[137/5000][285/535][13820] Loss_D: -0.041353 Loss_G: 0.034555 Loss_D_real: -0.035932 Loss_D_fake 0.005421
[137/5000][290/535][13821] Loss_D: -0.043742 Loss_G: 0.029790 Loss_D_real: -0.029640 Loss_D_fake 0.014102
[137/5000][295/535][13822] Loss_D: -0.042866 Loss_G: 0.031150 Loss_D_real: -0.032422 Loss_D_fake 0.010443
[137/5000][300/535][13823] Loss_D: -0.044656 Loss_G: 0.023291 Loss_D_real: -0.029069 Loss_D_fake 0.015587
[137/5000][305/535][13824] Loss_D: -0.041177 Loss_G: 0.011984 Loss_D_real: -0.019341 Loss_D_fake 0.021837
[137/5000][310/535][13825] Loss_D: -0.042771 Loss_G: 0.043924 Loss_D_real: -0.039903 Loss_D_fake 0.002868
[137/5000][315/535][13826] Loss_D: -0.042127 Loss_G: -0.012942 Loss_D_real: 0.000896 Loss_D_fake 0.043024
[137/5000][320/535][13827] Loss_D: -0.041681 Loss_G: 0.037733 Loss_D_real: -0.041522 Loss_D_fake 0.000159
[137/5000][325/535][13828] Loss_D: -0.043585 Loss_G: 0.031212 Loss_D_real: -0.026216 Loss_D_fake 0.017368
[137/5000][330/535][13829] Loss_D: -0.043040 Loss_G: 0.037711 Loss_D_real: -0.034162 Loss_D_fake 0.008878
[137/5000][335/535][13830] Loss_D: -0.041955 Loss_G: 0.032655 Loss_D_real: -0.027903 Loss_D_fake 0.014053
[137/5000][340/535][13831] Loss_D: -0.043949 Loss_G: 0.033126 Loss_D_real: -0.030257 Loss_D_fake 0.013692
[137/5000][345/535][13832] Loss_D: -0.043880 Loss_G: 0.006222 Loss_D_real: -0.015661 Loss_D_fake 0.028219
[137/5000][350/535][13833] Loss_D: -0.042270 Loss_G: 0.022616 Loss_D_real: -0.026091 Loss_D_fake 0.016178
[137/5000][355/535][13834] Loss_D: -0.042551 Loss_G: 0.047779 Loss_D_real: -0.038913 Loss_D_fake 0.003637
[137/5000][360/535][13835] Loss_D: -0.042051 Loss_G: 0.024873 Loss_D_real: -0.027790 Loss_D_fake 0.014261
[137/5000][365/535][13836] Loss_D: -0.039649 Loss_G: -0.017506 Loss_D_real: -0.001154 Loss_D_fake 0.038495
[137/5000][370/535][13837] Loss_D: -0.039784 Loss_G: 0.033958 Loss_D_real: -0.028483 Loss_D_fake 0.011301
[137/5000][375/535][13838] Loss_D: -0.041915 Loss_G: 0.004031 Loss_D_real: -0.012490 Loss_D_fake 0.029425
[137/5000][380/535][13839] Loss_D: -0.042163 Loss_G: 0.026232 Loss_D_real: -0.032665 Loss_D_fake 0.009498
[137/5000][385/535][13840] Loss_D: -0.042120 Loss_G: 0.006966 Loss_D_real: -0.014956 Loss_D_fake 0.027164
[137/5000][390/535][13841] Loss_D: -0.041374 Loss_G: 0.042673 Loss_D_real: -0.037109 Loss_D_fake 0.004265
[137/5000][395/535][13842] Loss_D: -0.042690 Loss_G: -0.005176 Loss_D_real: -0.006495 Loss_D_fake 0.036195
[137/5000][400/535][13843] Loss_D: -0.042790 Loss_G: 0.027661 Loss_D_real: -0.034985 Loss_D_fake 0.007805
[137/5000][405/535][13844] Loss_D: -0.042507 Loss_G: 0.041460 Loss_D_real: -0.034402 Loss_D_fake 0.008105
[137/5000][410/535][13845] Loss_D: -0.041486 Loss_G: 0.028544 Loss_D_real: -0.031454 Loss_D_fake 0.010032
[137/5000][415/535][13846] Loss_D: -0.042319 Loss_G: 0.011677 Loss_D_real: -0.024274 Loss_D_fake 0.018045
[137/5000][420/535][13847] Loss_D: -0.039242 Loss_G: 0.012534 Loss_D_real: -0.019792 Loss_D_fake 0.019451
[137/5000][425/535][13848] Loss_D: -0.040264 Loss_G: 0.026441 Loss_D_real: -0.029284 Loss_D_fake 0.010980
[137/5000][430/535][13849] Loss_D: -0.041313 Loss_G: 0.023911 Loss_D_real: -0.021844 Loss_D_fake 0.019469
[137/5000][435/535][13850] Loss_D: -0.041204 Loss_G: 0.040792 Loss_D_real: -0.035066 Loss_D_fake 0.006139
[137/5000][440/535][13851] Loss_D: -0.042207 Loss_G: 0.001518 Loss_D_real: -0.016057 Loss_D_fake 0.026150
[137/5000][445/535][13852] Loss_D: -0.042353 Loss_G: 0.041382 Loss_D_real: -0.037664 Loss_D_fake 0.004690
[137/5000][450/535][13853] Loss_D: -0.042401 Loss_G: -0.009692 Loss_D_real: -0.006538 Loss_D_fake 0.035862
[137/5000][455/535][13854] Loss_D: -0.042296 Loss_G: 0.029052 Loss_D_real: -0.033713 Loss_D_fake 0.008583
[137/5000][460/535][13855] Loss_D: -0.042975 Loss_G: 0.010850 Loss_D_real: -0.019784 Loss_D_fake 0.023191
[137/5000][465/535][13856] Loss_D: -0.042779 Loss_G: 0.035983 Loss_D_real: -0.035138 Loss_D_fake 0.007641
[137/5000][470/535][13857] Loss_D: -0.042139 Loss_G: 0.017026 Loss_D_real: -0.023638 Loss_D_fake 0.018501
[137/5000][475/535][13858] Loss_D: -0.044895 Loss_G: 0.006575 Loss_D_real: -0.017839 Loss_D_fake 0.027057
[137/5000][480/535][13859] Loss_D: -0.039708 Loss_G: 0.051053 Loss_D_real: -0.049779 Loss_D_fake -0.010071
[137/5000][485/535][13860] Loss_D: -0.042940 Loss_G: 0.022157 Loss_D_real: -0.022057 Loss_D_fake 0.020884
[137/5000][490/535][13861] Loss_D: -0.043029 Loss_G: 0.024612 Loss_D_real: -0.030495 Loss_D_fake 0.012534
[137/5000][495/535][13862] Loss_D: -0.044147 Loss_G: 0.014919 Loss_D_real: -0.016712 Loss_D_fake 0.027435
[137/5000][500/535][13863] Loss_D: -0.042611 Loss_G: 0.017088 Loss_D_real: -0.022547 Loss_D_fake 0.020064
[137/5000][505/535][13864] Loss_D: -0.042372 Loss_G: -0.013315 Loss_D_real: 0.000801 Loss_D_fake 0.043173
[137/5000][510/535][13865] Loss_D: -0.039508 Loss_G: 0.041020 Loss_D_real: -0.045864 Loss_D_fake -0.006356
[137/5000][515/535][13866] Loss_D: -0.043140 Loss_G: 0.015870 Loss_D_real: -0.015834 Loss_D_fake 0.027306
[137/5000][520/535][13867] Loss_D: -0.042486 Loss_G: 0.044929 Loss_D_real: -0.042948 Loss_D_fake -0.000463
[137/5000][525/535][13868] Loss_D: -0.045445 Loss_G: -0.005645 Loss_D_real: -0.003558 Loss_D_fake 0.041887
[137/5000][530/535][13869] Loss_D: -0.041230 Loss_G: 0.033932 Loss_D_real: -0.035864 Loss_D_fake 0.005366
[137/5000][535/535][13870] Loss_D: -0.041662 Loss_G: 0.015375 Loss_D_real: -0.011653 Loss_D_fake 0.030010
[138/5000][5/535][13871] Loss_D: -0.043564 Loss_G: 0.010565 Loss_D_real: -0.014815 Loss_D_fake 0.028749
[138/5000][10/535][13872] Loss_D: -0.044298 Loss_G: 0.014494 Loss_D_real: -0.022846 Loss_D_fake 0.021452
[138/5000][15/535][13873] Loss_D: -0.043721 Loss_G: 0.038564 Loss_D_real: -0.032632 Loss_D_fake 0.011089
[138/5000][20/535][13874] Loss_D: -0.042498 Loss_G: 0.033522 Loss_D_real: -0.032449 Loss_D_fake 0.010049
[138/5000][25/535][13875] Loss_D: -0.045089 Loss_G: 0.016493 Loss_D_real: -0.028669 Loss_D_fake 0.016421
[138/5000][30/535][13876] Loss_D: -0.041447 Loss_G: 0.046595 Loss_D_real: -0.042364 Loss_D_fake -0.000917
[138/5000][35/535][13877] Loss_D: -0.041504 Loss_G: -0.001721 Loss_D_real: -0.011447 Loss_D_fake 0.030057
[138/5000][40/535][13878] Loss_D: -0.042203 Loss_G: 0.014890 Loss_D_real: -0.023232 Loss_D_fake 0.018971
[138/5000][45/535][13879] Loss_D: -0.041336 Loss_G: 0.045119 Loss_D_real: -0.042062 Loss_D_fake -0.000726
[138/5000][50/535][13880] Loss_D: -0.043510 Loss_G: 0.020233 Loss_D_real: -0.021366 Loss_D_fake 0.022144
[138/5000][55/535][13881] Loss_D: -0.043555 Loss_G: 0.039223 Loss_D_real: -0.039392 Loss_D_fake 0.004162
[138/5000][60/535][13882] Loss_D: -0.041394 Loss_G: -0.005346 Loss_D_real: 0.001110 Loss_D_fake 0.042504
[138/5000][65/535][13883] Loss_D: -0.040669 Loss_G: 0.032343 Loss_D_real: -0.033676 Loss_D_fake 0.006993
[138/5000][70/535][13884] Loss_D: -0.038859 Loss_G: 0.004359 Loss_D_real: -0.014068 Loss_D_fake 0.024791
[138/5000][75/535][13885] Loss_D: -0.041957 Loss_G: 0.043642 Loss_D_real: -0.042942 Loss_D_fake -0.000986
[138/5000][80/535][13886] Loss_D: -0.042192 Loss_G: 0.008660 Loss_D_real: -0.013696 Loss_D_fake 0.028496
[138/5000][85/535][13887] Loss_D: -0.043569 Loss_G: 0.029953 Loss_D_real: -0.032004 Loss_D_fake 0.011565
[138/5000][90/535][13888] Loss_D: -0.043289 Loss_G: 0.021785 Loss_D_real: -0.027643 Loss_D_fake 0.015646
[138/5000][95/535][13889] Loss_D: -0.043458 Loss_G: 0.041057 Loss_D_real: -0.038504 Loss_D_fake 0.004954
[138/5000][100/535][13890] Loss_D: -0.042879 Loss_G: 0.021816 Loss_D_real: -0.025515 Loss_D_fake 0.017364
[138/5000][105/535][13891] Loss_D: -0.041559 Loss_G: 0.011461 Loss_D_real: -0.017240 Loss_D_fake 0.024319
[138/5000][110/535][13892] Loss_D: -0.041343 Loss_G: 0.014312 Loss_D_real: -0.022520 Loss_D_fake 0.018824
[138/5000][115/535][13893] Loss_D: -0.043838 Loss_G: 0.034859 Loss_D_real: -0.034257 Loss_D_fake 0.009580
[138/5000][120/535][13894] Loss_D: -0.042994 Loss_G: 0.031310 Loss_D_real: -0.030664 Loss_D_fake 0.012330
[138/5000][125/535][13895] Loss_D: -0.040594 Loss_G: 0.043782 Loss_D_real: -0.044613 Loss_D_fake -0.004019
[138/5000][130/535][13896] Loss_D: -0.042649 Loss_G: 0.006207 Loss_D_real: -0.019017 Loss_D_fake 0.023632
[138/5000][135/535][13897] Loss_D: -0.041317 Loss_G: 0.023467 Loss_D_real: -0.022678 Loss_D_fake 0.018639
[138/5000][140/535][13898] Loss_D: -0.041685 Loss_G: 0.031201 Loss_D_real: -0.030742 Loss_D_fake 0.010943
[138/5000][145/535][13899] Loss_D: -0.042231 Loss_G: -0.001139 Loss_D_real: -0.012257 Loss_D_fake 0.029974
[138/5000][150/535][13900] Loss_D: -0.037161 Loss_G: 0.049490 Loss_D_real: -0.044746 Loss_D_fake -0.007585
[138/5000][155/535][13901] Loss_D: -0.040307 Loss_G: 0.015281 Loss_D_real: -0.015825 Loss_D_fake 0.024481
[138/5000][160/535][13902] Loss_D: -0.040575 Loss_G: 0.038996 Loss_D_real: -0.040964 Loss_D_fake -0.000389
[138/5000][165/535][13903] Loss_D: -0.039568 Loss_G: 0.037443 Loss_D_real: -0.037232 Loss_D_fake 0.002336
[138/5000][170/535][13904] Loss_D: -0.040561 Loss_G: -0.011795 Loss_D_real: -0.005116 Loss_D_fake 0.035446
[138/5000][175/535][13905] Loss_D: -0.038520 Loss_G: 0.037030 Loss_D_real: -0.038464 Loss_D_fake 0.000056
[138/5000][180/535][13906] Loss_D: -0.039430 Loss_G: -0.000376 Loss_D_real: -0.013354 Loss_D_fake 0.026076
[138/5000][185/535][13907] Loss_D: -0.041601 Loss_G: 0.033264 Loss_D_real: -0.034364 Loss_D_fake 0.007236
[138/5000][190/535][13908] Loss_D: -0.039171 Loss_G: 0.002593 Loss_D_real: -0.012955 Loss_D_fake 0.026216
[138/5000][195/535][13909] Loss_D: -0.041028 Loss_G: 0.027897 Loss_D_real: -0.028545 Loss_D_fake 0.012483
[138/5000][200/535][13910] Loss_D: -0.042319 Loss_G: 0.036493 Loss_D_real: -0.031395 Loss_D_fake 0.010924
[138/5000][205/535][13911] Loss_D: -0.044207 Loss_G: 0.002498 Loss_D_real: -0.011326 Loss_D_fake 0.032881
[138/5000][210/535][13912] Loss_D: -0.041497 Loss_G: 0.031184 Loss_D_real: -0.027288 Loss_D_fake 0.014208
[138/5000][215/535][13913] Loss_D: -0.043066 Loss_G: 0.015499 Loss_D_real: -0.021019 Loss_D_fake 0.022047
[138/5000][220/535][13914] Loss_D: -0.043779 Loss_G: 0.011467 Loss_D_real: -0.017768 Loss_D_fake 0.026011
[138/5000][225/535][13915] Loss_D: -0.042670 Loss_G: 0.024361 Loss_D_real: -0.031605 Loss_D_fake 0.011065
[138/5000][230/535][13916] Loss_D: -0.043705 Loss_G: 0.041343 Loss_D_real: -0.040025 Loss_D_fake 0.003680
[138/5000][235/535][13917] Loss_D: -0.040947 Loss_G: -0.007110 Loss_D_real: 0.002499 Loss_D_fake 0.043446
[138/5000][240/535][13918] Loss_D: -0.040125 Loss_G: 0.032972 Loss_D_real: -0.036026 Loss_D_fake 0.004099
[138/5000][245/535][13919] Loss_D: -0.038513 Loss_G: 0.003517 Loss_D_real: -0.002454 Loss_D_fake 0.036060
[138/5000][250/535][13920] Loss_D: -0.040545 Loss_G: 0.036974 Loss_D_real: -0.036707 Loss_D_fake 0.003838
[138/5000][255/535][13921] Loss_D: -0.038769 Loss_G: 0.011529 Loss_D_real: -0.006654 Loss_D_fake 0.032115
[138/5000][260/535][13922] Loss_D: -0.041629 Loss_G: 0.031672 Loss_D_real: -0.030537 Loss_D_fake 0.011092
[138/5000][265/535][13923] Loss_D: -0.043296 Loss_G: 0.014936 Loss_D_real: -0.020692 Loss_D_fake 0.022604
[138/5000][270/535][13924] Loss_D: -0.040616 Loss_G: 0.038186 Loss_D_real: -0.027909 Loss_D_fake 0.012707
[138/5000][275/535][13925] Loss_D: -0.040044 Loss_G: -0.009361 Loss_D_real: -0.000355 Loss_D_fake 0.039690
[138/5000][280/535][13926] Loss_D: -0.041016 Loss_G: 0.037524 Loss_D_real: -0.038606 Loss_D_fake 0.002410
[138/5000][285/535][13927] Loss_D: -0.040923 Loss_G: 0.018152 Loss_D_real: -0.025742 Loss_D_fake 0.015181
[138/5000][290/535][13928] Loss_D: -0.042426 Loss_G: 0.015578 Loss_D_real: -0.022164 Loss_D_fake 0.020262
[138/5000][295/535][13929] Loss_D: -0.040619 Loss_G: 0.013889 Loss_D_real: -0.023691 Loss_D_fake 0.016928
[138/5000][300/535][13930] Loss_D: -0.042323 Loss_G: 0.032580 Loss_D_real: -0.034486 Loss_D_fake 0.007837
[138/5000][305/535][13931] Loss_D: -0.042283 Loss_G: 0.043446 Loss_D_real: -0.039935 Loss_D_fake 0.002348
[138/5000][310/535][13932] Loss_D: -0.041944 Loss_G: 0.001195 Loss_D_real: -0.011180 Loss_D_fake 0.030764
[138/5000][315/535][13933] Loss_D: -0.041534 Loss_G: 0.033211 Loss_D_real: -0.033426 Loss_D_fake 0.008109
[138/5000][320/535][13934] Loss_D: -0.040332 Loss_G: 0.047737 Loss_D_real: -0.046924 Loss_D_fake -0.006592
[138/5000][325/535][13935] Loss_D: -0.043477 Loss_G: -0.014436 Loss_D_real: -0.003283 Loss_D_fake 0.040194
[138/5000][330/535][13936] Loss_D: -0.041236 Loss_G: 0.036790 Loss_D_real: -0.036445 Loss_D_fake 0.004791
[138/5000][335/535][13937] Loss_D: -0.041974 Loss_G: 0.015274 Loss_D_real: -0.018917 Loss_D_fake 0.023057
[138/5000][340/535][13938] Loss_D: -0.042834 Loss_G: 0.041845 Loss_D_real: -0.038000 Loss_D_fake 0.004834
[138/5000][345/535][13939] Loss_D: -0.045374 Loss_G: -0.001257 Loss_D_real: -0.009160 Loss_D_fake 0.036214
[138/5000][350/535][13940] Loss_D: -0.041763 Loss_G: 0.037609 Loss_D_real: -0.037815 Loss_D_fake 0.003949
[138/5000][355/535][13941] Loss_D: -0.043293 Loss_G: 0.009914 Loss_D_real: -0.018397 Loss_D_fake 0.024896
[138/5000][360/535][13942] Loss_D: -0.041400 Loss_G: 0.036532 Loss_D_real: -0.041375 Loss_D_fake 0.000025
[138/5000][365/535][13943] Loss_D: -0.041699 Loss_G: -0.006132 Loss_D_real: -0.005130 Loss_D_fake 0.036569
[138/5000][370/535][13944] Loss_D: -0.041823 Loss_G: 0.026608 Loss_D_real: -0.028375 Loss_D_fake 0.013448
[138/5000][375/535][13945] Loss_D: -0.041562 Loss_G: 0.012672 Loss_D_real: -0.012877 Loss_D_fake 0.028685
[138/5000][380/535][13946] Loss_D: -0.040962 Loss_G: 0.031350 Loss_D_real: -0.030840 Loss_D_fake 0.010122
[138/5000][385/535][13947] Loss_D: -0.042895 Loss_G: 0.031854 Loss_D_real: -0.034346 Loss_D_fake 0.008548
[138/5000][390/535][13948] Loss_D: -0.043360 Loss_G: 0.020102 Loss_D_real: -0.025638 Loss_D_fake 0.017722
[138/5000][395/535][13949] Loss_D: -0.044767 Loss_G: 0.031725 Loss_D_real: -0.032201 Loss_D_fake 0.012566
[138/5000][400/535][13950] Loss_D: -0.042524 Loss_G: 0.026328 Loss_D_real: -0.026514 Loss_D_fake 0.016010
[138/5000][405/535][13951] Loss_D: -0.043076 Loss_G: 0.048841 Loss_D_real: -0.046416 Loss_D_fake -0.003340
[138/5000][410/535][13952] Loss_D: -0.042578 Loss_G: -0.005900 Loss_D_real: -0.001737 Loss_D_fake 0.040841
[138/5000][415/535][13953] Loss_D: -0.041214 Loss_G: 0.017583 Loss_D_real: -0.026420 Loss_D_fake 0.014794
[138/5000][420/535][13954] Loss_D: -0.043730 Loss_G: 0.032376 Loss_D_real: -0.037193 Loss_D_fake 0.006536
[138/5000][425/535][13955] Loss_D: -0.043374 Loss_G: 0.041028 Loss_D_real: -0.036833 Loss_D_fake 0.006541
[138/5000][430/535][13956] Loss_D: -0.042459 Loss_G: 0.039275 Loss_D_real: -0.032576 Loss_D_fake 0.009883
[138/5000][435/535][13957] Loss_D: -0.043176 Loss_G: -0.005201 Loss_D_real: -0.010013 Loss_D_fake 0.033163
[138/5000][440/535][13958] Loss_D: -0.039223 Loss_G: 0.050179 Loss_D_real: -0.050978 Loss_D_fake -0.011755
[138/5000][445/535][13959] Loss_D: -0.040307 Loss_G: -0.017863 Loss_D_real: -0.001096 Loss_D_fake 0.039212
[138/5000][450/535][13960] Loss_D: -0.039280 Loss_G: 0.030484 Loss_D_real: -0.031382 Loss_D_fake 0.007898
[138/5000][455/535][13961] Loss_D: -0.041975 Loss_G: 0.020347 Loss_D_real: -0.017719 Loss_D_fake 0.024255
[138/5000][460/535][13962] Loss_D: -0.041113 Loss_G: 0.023927 Loss_D_real: -0.026514 Loss_D_fake 0.014599
[138/5000][465/535][13963] Loss_D: -0.042429 Loss_G: 0.025508 Loss_D_real: -0.027366 Loss_D_fake 0.015063
[138/5000][470/535][13964] Loss_D: -0.043131 Loss_G: 0.017760 Loss_D_real: -0.024681 Loss_D_fake 0.018451
[138/5000][475/535][13965] Loss_D: -0.040577 Loss_G: 0.021433 Loss_D_real: -0.025670 Loss_D_fake 0.014906
[138/5000][480/535][13966] Loss_D: -0.040457 Loss_G: 0.013306 Loss_D_real: -0.018673 Loss_D_fake 0.021785
[138/5000][485/535][13967] Loss_D: -0.041183 Loss_G: 0.019017 Loss_D_real: -0.026507 Loss_D_fake 0.014676
[138/5000][490/535][13968] Loss_D: -0.041069 Loss_G: 0.032785 Loss_D_real: -0.030039 Loss_D_fake 0.011030
[138/5000][495/535][13969] Loss_D: -0.042814 Loss_G: 0.025856 Loss_D_real: -0.025015 Loss_D_fake 0.017799
[138/5000][500/535][13970] Loss_D: -0.045413 Loss_G: 0.031658 Loss_D_real: -0.029679 Loss_D_fake 0.015735
[138/5000][505/535][13971] Loss_D: -0.041513 Loss_G: 0.020047 Loss_D_real: -0.023974 Loss_D_fake 0.017539
[138/5000][510/535][13972] Loss_D: -0.039371 Loss_G: 0.045551 Loss_D_real: -0.043067 Loss_D_fake -0.003695
[138/5000][515/535][13973] Loss_D: -0.042538 Loss_G: 0.003892 Loss_D_real: -0.012572 Loss_D_fake 0.029966
[138/5000][520/535][13974] Loss_D: -0.041916 Loss_G: 0.044387 Loss_D_real: -0.044410 Loss_D_fake -0.002493
[138/5000][525/535][13975] Loss_D: -0.041601 Loss_G: -0.017781 Loss_D_real: 0.001685 Loss_D_fake 0.043286
[138/5000][530/535][13976] Loss_D: -0.041275 Loss_G: 0.018376 Loss_D_real: -0.019466 Loss_D_fake 0.021810
[138/5000][535/535][13977] Loss_D: -0.039844 Loss_G: 0.057357 Loss_D_real: -0.052382 Loss_D_fake -0.012539
[139/5000][5/535][13978] Loss_D: -0.041195 Loss_G: 0.011188 Loss_D_real: -0.014165 Loss_D_fake 0.027030
[139/5000][10/535][13979] Loss_D: -0.039284 Loss_G: 0.028470 Loss_D_real: -0.037643 Loss_D_fake 0.001640
[139/5000][15/535][13980] Loss_D: -0.042723 Loss_G: 0.013919 Loss_D_real: -0.026275 Loss_D_fake 0.016449
[139/5000][20/535][13981] Loss_D: -0.042171 Loss_G: 0.022637 Loss_D_real: -0.016199 Loss_D_fake 0.025972
[139/5000][25/535][13982] Loss_D: -0.044609 Loss_G: 0.047908 Loss_D_real: -0.038200 Loss_D_fake 0.006410
[139/5000][30/535][13983] Loss_D: -0.038901 Loss_G: -0.006730 Loss_D_real: 0.004987 Loss_D_fake 0.043888
[139/5000][35/535][13984] Loss_D: -0.040616 Loss_G: 0.020206 Loss_D_real: -0.028028 Loss_D_fake 0.012588
[139/5000][40/535][13985] Loss_D: -0.040268 Loss_G: 0.034805 Loss_D_real: -0.033746 Loss_D_fake 0.006522
[139/5000][45/535][13986] Loss_D: -0.044661 Loss_G: 0.025590 Loss_D_real: -0.025681 Loss_D_fake 0.018981
[139/5000][50/535][13987] Loss_D: -0.044698 Loss_G: 0.019212 Loss_D_real: -0.020328 Loss_D_fake 0.024370
[139/5000][55/535][13988] Loss_D: -0.042090 Loss_G: 0.041814 Loss_D_real: -0.042289 Loss_D_fake -0.000200
[139/5000][60/535][13989] Loss_D: -0.043023 Loss_G: 0.005289 Loss_D_real: -0.016497 Loss_D_fake 0.026527
[139/5000][65/535][13990] Loss_D: -0.042154 Loss_G: 0.033963 Loss_D_real: -0.036319 Loss_D_fake 0.005835
[139/5000][70/535][13991] Loss_D: -0.041880 Loss_G: 0.011814 Loss_D_real: -0.018855 Loss_D_fake 0.023025
[139/5000][75/535][13992] Loss_D: -0.040665 Loss_G: 0.053600 Loss_D_real: -0.050620 Loss_D_fake -0.009955
[139/5000][80/535][13993] Loss_D: -0.041123 Loss_G: -0.001089 Loss_D_real: -0.009227 Loss_D_fake 0.031896
[139/5000][85/535][13994] Loss_D: -0.039483 Loss_G: 0.021406 Loss_D_real: -0.026679 Loss_D_fake 0.012804
[139/5000][90/535][13995] Loss_D: -0.041993 Loss_G: 0.032932 Loss_D_real: -0.030227 Loss_D_fake 0.011765
[139/5000][95/535][13996] Loss_D: -0.039720 Loss_G: 0.018764 Loss_D_real: -0.020088 Loss_D_fake 0.019632
[139/5000][100/535][13997] Loss_D: -0.042438 Loss_G: 0.010017 Loss_D_real: -0.017837 Loss_D_fake 0.024602
[139/5000][105/535][13998] Loss_D: -0.042054 Loss_G: 0.034000 Loss_D_real: -0.032295 Loss_D_fake 0.009758
[139/5000][110/535][13999] Loss_D: -0.042872 Loss_G: -0.002550 Loss_D_real: -0.012003 Loss_D_fake 0.030869
[139/5000][115/535][14000] Loss_D: -0.039809 Loss_G: 0.039343 Loss_D_real: -0.039913 Loss_D_fake -0.000103
[139/5000][215/535][14001] Loss_D: -0.041774 Loss_G: 0.003984 Loss_D_real: -0.005374 Loss_D_fake 0.036400
[139/5000][220/535][14002] Loss_D: -0.041203 Loss_G: 0.035205 Loss_D_real: -0.034356 Loss_D_fake 0.006847
[139/5000][225/535][14003] Loss_D: -0.041313 Loss_G: 0.020439 Loss_D_real: -0.024212 Loss_D_fake 0.017101
[139/5000][230/535][14004] Loss_D: -0.041101 Loss_G: 0.035567 Loss_D_real: -0.032050 Loss_D_fake 0.009051
[139/5000][235/535][14005] Loss_D: -0.040884 Loss_G: 0.034944 Loss_D_real: -0.032045 Loss_D_fake 0.008838
[139/5000][240/535][14006] Loss_D: -0.045148 Loss_G: 0.006593 Loss_D_real: -0.017547 Loss_D_fake 0.027600
[139/5000][245/535][14007] Loss_D: -0.041183 Loss_G: 0.027914 Loss_D_real: -0.028112 Loss_D_fake 0.013071
[139/5000][250/535][14008] Loss_D: -0.042248 Loss_G: 0.030201 Loss_D_real: -0.031592 Loss_D_fake 0.010656
[139/5000][255/535][14009] Loss_D: -0.038020 Loss_G: -0.001195 Loss_D_real: -0.001668 Loss_D_fake 0.036352
[139/5000][260/535][14010] Loss_D: -0.040468 Loss_G: 0.040116 Loss_D_real: -0.036530 Loss_D_fake 0.003938
[139/5000][265/535][14011] Loss_D: -0.042837 Loss_G: 0.025602 Loss_D_real: -0.029662 Loss_D_fake 0.013175
[139/5000][270/535][14012] Loss_D: -0.043791 Loss_G: 0.018679 Loss_D_real: -0.022496 Loss_D_fake 0.021295
[139/5000][275/535][14013] Loss_D: -0.042050 Loss_G: 0.035775 Loss_D_real: -0.037732 Loss_D_fake 0.004318
[139/5000][280/535][14014] Loss_D: -0.041892 Loss_G: 0.019994 Loss_D_real: -0.020141 Loss_D_fake 0.021751
[139/5000][285/535][14015] Loss_D: -0.043477 Loss_G: 0.039095 Loss_D_real: -0.034208 Loss_D_fake 0.009269
[139/5000][290/535][14016] Loss_D: -0.041770 Loss_G: 0.012271 Loss_D_real: -0.025542 Loss_D_fake 0.016227
[139/5000][295/535][14017] Loss_D: -0.040034 Loss_G: 0.018537 Loss_D_real: -0.029694 Loss_D_fake 0.010340
[139/5000][300/535][14018] Loss_D: -0.042653 Loss_G: 0.026731 Loss_D_real: -0.031111 Loss_D_fake 0.011542
[139/5000][305/535][14019] Loss_D: -0.041103 Loss_G: 0.003434 Loss_D_real: -0.008473 Loss_D_fake 0.032629
[139/5000][310/535][14020] Loss_D: -0.041369 Loss_G: 0.014180 Loss_D_real: -0.019442 Loss_D_fake 0.021927
[139/5000][315/535][14021] Loss_D: -0.038711 Loss_G: 0.042452 Loss_D_real: -0.034575 Loss_D_fake 0.004136
[139/5000][320/535][14022] Loss_D: -0.039561 Loss_G: 0.000831 Loss_D_real: -0.006749 Loss_D_fake 0.032812
[139/5000][325/535][14023] Loss_D: -0.041492 Loss_G: 0.025963 Loss_D_real: -0.036492 Loss_D_fake 0.005000
[139/5000][330/535][14024] Loss_D: -0.043285 Loss_G: 0.012106 Loss_D_real: -0.014126 Loss_D_fake 0.029160
[139/5000][335/535][14025] Loss_D: -0.039945 Loss_G: 0.041996 Loss_D_real: -0.047623 Loss_D_fake -0.007679
[139/5000][340/535][14026] Loss_D: -0.041975 Loss_G: 0.007126 Loss_D_real: -0.007523 Loss_D_fake 0.034453
[139/5000][345/535][14027] Loss_D: -0.042068 Loss_G: 0.009972 Loss_D_real: -0.015235 Loss_D_fake 0.026832
[139/5000][350/535][14028] Loss_D: -0.043752 Loss_G: 0.036740 Loss_D_real: -0.042662 Loss_D_fake 0.001089
[139/5000][355/535][14029] Loss_D: -0.041383 Loss_G: -0.001179 Loss_D_real: -0.010410 Loss_D_fake 0.030973
[139/5000][360/535][14030] Loss_D: -0.041080 Loss_G: 0.042926 Loss_D_real: -0.039696 Loss_D_fake 0.001384
[139/5000][365/535][14031] Loss_D: -0.040998 Loss_G: 0.018161 Loss_D_real: -0.021573 Loss_D_fake 0.019424
[139/5000][370/535][14032] Loss_D: -0.039298 Loss_G: 0.037765 Loss_D_real: -0.037585 Loss_D_fake 0.001713
[139/5000][375/535][14033] Loss_D: -0.040379 Loss_G: 0.010747 Loss_D_real: -0.016043 Loss_D_fake 0.024336
[139/5000][380/535][14034] Loss_D: -0.041432 Loss_G: 0.028206 Loss_D_real: -0.029400 Loss_D_fake 0.012032
[139/5000][385/535][14035] Loss_D: -0.040529 Loss_G: 0.039171 Loss_D_real: -0.036929 Loss_D_fake 0.003600
[139/5000][390/535][14036] Loss_D: -0.041988 Loss_G: 0.007734 Loss_D_real: -0.018719 Loss_D_fake 0.023270
[139/5000][395/535][14037] Loss_D: -0.040956 Loss_G: 0.029847 Loss_D_real: -0.033870 Loss_D_fake 0.007087
[139/5000][400/535][14038] Loss_D: -0.043053 Loss_G: 0.040577 Loss_D_real: -0.033244 Loss_D_fake 0.009808
[139/5000][405/535][14039] Loss_D: -0.042543 Loss_G: 0.022335 Loss_D_real: -0.022762 Loss_D_fake 0.019782
[139/5000][410/535][14040] Loss_D: -0.041220 Loss_G: 0.037624 Loss_D_real: -0.038552 Loss_D_fake 0.002669
[139/5000][415/535][14041] Loss_D: -0.043180 Loss_G: 0.022882 Loss_D_real: -0.024785 Loss_D_fake 0.018395
[139/5000][420/535][14042] Loss_D: -0.043915 Loss_G: 0.030066 Loss_D_real: -0.027897 Loss_D_fake 0.016019
[139/5000][425/535][14043] Loss_D: -0.042711 Loss_G: 0.024236 Loss_D_real: -0.020651 Loss_D_fake 0.022059
[139/5000][430/535][14044] Loss_D: -0.043506 Loss_G: 0.011876 Loss_D_real: -0.023206 Loss_D_fake 0.020300
[139/5000][435/535][14045] Loss_D: -0.039671 Loss_G: 0.052567 Loss_D_real: -0.049777 Loss_D_fake -0.010106
[139/5000][440/535][14046] Loss_D: -0.041574 Loss_G: -0.007507 Loss_D_real: -0.003614 Loss_D_fake 0.037960
[139/5000][445/535][14047] Loss_D: -0.039467 Loss_G: 0.043733 Loss_D_real: -0.042237 Loss_D_fake -0.002770
[139/5000][450/535][14048] Loss_D: -0.039943 Loss_G: -0.010346 Loss_D_real: -0.002688 Loss_D_fake 0.037255
[139/5000][455/535][14049] Loss_D: -0.040662 Loss_G: 0.028573 Loss_D_real: -0.027984 Loss_D_fake 0.012678
[139/5000][460/535][14050] Loss_D: -0.039817 Loss_G: 0.006941 Loss_D_real: -0.014236 Loss_D_fake 0.025580
[139/5000][465/535][14051] Loss_D: -0.040690 Loss_G: 0.021145 Loss_D_real: -0.023648 Loss_D_fake 0.017042
[139/5000][470/535][14052] Loss_D: -0.041371 Loss_G: 0.014038 Loss_D_real: -0.015298 Loss_D_fake 0.026073
[139/5000][475/535][14053] Loss_D: -0.041410 Loss_G: 0.004049 Loss_D_real: -0.013478 Loss_D_fake 0.027932
[139/5000][480/535][14054] Loss_D: -0.042959 Loss_G: 0.035481 Loss_D_real: -0.041615 Loss_D_fake 0.001343
[139/5000][485/535][14055] Loss_D: -0.044376 Loss_G: 0.031394 Loss_D_real: -0.030011 Loss_D_fake 0.014366
[139/5000][490/535][14056] Loss_D: -0.039969 Loss_G: 0.047709 Loss_D_real: -0.048837 Loss_D_fake -0.008868
[139/5000][495/535][14057] Loss_D: -0.041153 Loss_G: -0.003143 Loss_D_real: -0.003217 Loss_D_fake 0.037936
[139/5000][500/535][14058] Loss_D: -0.040750 Loss_G: 0.031544 Loss_D_real: -0.034290 Loss_D_fake 0.006460
[139/5000][505/535][14059] Loss_D: -0.042583 Loss_G: 0.046276 Loss_D_real: -0.042880 Loss_D_fake -0.000296
[139/5000][510/535][14060] Loss_D: -0.042567 Loss_G: 0.012595 Loss_D_real: -0.020045 Loss_D_fake 0.022522
[139/5000][515/535][14061] Loss_D: -0.043489 Loss_G: 0.022145 Loss_D_real: -0.022825 Loss_D_fake 0.020664
[139/5000][520/535][14062] Loss_D: -0.042983 Loss_G: 0.024224 Loss_D_real: -0.023969 Loss_D_fake 0.019014
[139/5000][525/535][14063] Loss_D: -0.043449 Loss_G: 0.046129 Loss_D_real: -0.038411 Loss_D_fake 0.005038
[139/5000][530/535][14064] Loss_D: -0.043077 Loss_G: -0.005389 Loss_D_real: -0.007263 Loss_D_fake 0.035814
[139/5000][535/535][14065] Loss_D: -0.041656 Loss_G: 0.037673 Loss_D_real: -0.036654 Loss_D_fake 0.005002
[140/5000][5/535][14066] Loss_D: -0.043012 Loss_G: 0.017810 Loss_D_real: -0.015875 Loss_D_fake 0.027137
[140/5000][10/535][14067] Loss_D: -0.041242 Loss_G: 0.026375 Loss_D_real: -0.040854 Loss_D_fake 0.000388
[140/5000][15/535][14068] Loss_D: -0.044034 Loss_G: 0.040745 Loss_D_real: -0.036383 Loss_D_fake 0.007650
[140/5000][20/535][14069] Loss_D: -0.042594 Loss_G: 0.007903 Loss_D_real: -0.010239 Loss_D_fake 0.032356
[140/5000][25/535][14070] Loss_D: -0.042168 Loss_G: 0.042501 Loss_D_real: -0.037832 Loss_D_fake 0.004337
[140/5000][30/535][14071] Loss_D: -0.040353 Loss_G: 0.012861 Loss_D_real: -0.026249 Loss_D_fake 0.014103
[140/5000][35/535][14072] Loss_D: -0.039395 Loss_G: 0.041808 Loss_D_real: -0.040669 Loss_D_fake -0.001274
[140/5000][40/535][14073] Loss_D: -0.041709 Loss_G: 0.028862 Loss_D_real: -0.025367 Loss_D_fake 0.016342
[140/5000][45/535][14074] Loss_D: -0.043610 Loss_G: 0.005314 Loss_D_real: -0.011505 Loss_D_fake 0.032105
[140/5000][50/535][14075] Loss_D: -0.040911 Loss_G: 0.020542 Loss_D_real: -0.020009 Loss_D_fake 0.020903
[140/5000][55/535][14076] Loss_D: -0.040713 Loss_G: 0.039783 Loss_D_real: -0.036967 Loss_D_fake 0.003746
[140/5000][60/535][14077] Loss_D: -0.041199 Loss_G: 0.011963 Loss_D_real: -0.015188 Loss_D_fake 0.026011
[140/5000][65/535][14078] Loss_D: -0.040808 Loss_G: 0.036990 Loss_D_real: -0.034088 Loss_D_fake 0.006720
[140/5000][70/535][14079] Loss_D: -0.041439 Loss_G: -0.001066 Loss_D_real: -0.002423 Loss_D_fake 0.039015
[140/5000][75/535][14080] Loss_D: -0.040383 Loss_G: 0.027165 Loss_D_real: -0.030159 Loss_D_fake 0.010224
[140/5000][80/535][14081] Loss_D: -0.040654 Loss_G: 0.031341 Loss_D_real: -0.036270 Loss_D_fake 0.004383
[140/5000][85/535][14082] Loss_D: -0.041766 Loss_G: 0.011541 Loss_D_real: -0.016309 Loss_D_fake 0.025458
[140/5000][90/535][14083] Loss_D: -0.040082 Loss_G: -0.003825 Loss_D_real: -0.007636 Loss_D_fake 0.032446
[140/5000][95/535][14084] Loss_D: -0.040283 Loss_G: 0.040401 Loss_D_real: -0.042279 Loss_D_fake -0.001995
[140/5000][100/535][14085] Loss_D: -0.041947 Loss_G: 0.024712 Loss_D_real: -0.025822 Loss_D_fake 0.016126
[140/5000][105/535][14086] Loss_D: -0.042897 Loss_G: 0.041153 Loss_D_real: -0.035753 Loss_D_fake 0.007144
[140/5000][110/535][14087] Loss_D: -0.042093 Loss_G: 0.039455 Loss_D_real: -0.037581 Loss_D_fake 0.004512
[140/5000][115/535][14088] Loss_D: -0.041838 Loss_G: 0.006791 Loss_D_real: -0.016874 Loss_D_fake 0.024964
[140/5000][120/535][14089] Loss_D: -0.043434 Loss_G: 0.009624 Loss_D_real: -0.023418 Loss_D_fake 0.020016
[140/5000][125/535][14090] Loss_D: -0.038866 Loss_G: 0.040892 Loss_D_real: -0.047020 Loss_D_fake -0.008154
[140/5000][130/535][14091] Loss_D: -0.042959 Loss_G: 0.006270 Loss_D_real: -0.016792 Loss_D_fake 0.026166
[140/5000][135/535][14092] Loss_D: -0.038444 Loss_G: -0.001275 Loss_D_real: -0.000385 Loss_D_fake 0.038059
[140/5000][140/535][14093] Loss_D: -0.040815 Loss_G: 0.037060 Loss_D_real: -0.040693 Loss_D_fake 0.000121
[140/5000][145/535][14094] Loss_D: -0.040151 Loss_G: 0.046706 Loss_D_real: -0.047704 Loss_D_fake -0.007553
[140/5000][150/535][14095] Loss_D: -0.043464 Loss_G: 0.017521 Loss_D_real: -0.020844 Loss_D_fake 0.022620
[140/5000][155/535][14096] Loss_D: -0.041740 Loss_G: 0.041027 Loss_D_real: -0.044091 Loss_D_fake -0.002351
[140/5000][160/535][14097] Loss_D: -0.042255 Loss_G: -0.009602 Loss_D_real: -0.009577 Loss_D_fake 0.032678
[140/5000][165/535][14098] Loss_D: -0.040523 Loss_G: 0.036117 Loss_D_real: -0.032352 Loss_D_fake 0.008171
[140/5000][170/535][14099] Loss_D: -0.040266 Loss_G: 0.000453 Loss_D_real: -0.016033 Loss_D_fake 0.024233
[140/5000][175/535][14100] Loss_D: -0.040250 Loss_G: 0.034932 Loss_D_real: -0.036441 Loss_D_fake 0.003810
[140/5000][180/535][14101] Loss_D: -0.041021 Loss_G: -0.002745 Loss_D_real: -0.013464 Loss_D_fake 0.027557
[140/5000][185/535][14102] Loss_D: -0.040052 Loss_G: 0.031753 Loss_D_real: -0.031237 Loss_D_fake 0.008815
[140/5000][190/535][14103] Loss_D: -0.040946 Loss_G: 0.035457 Loss_D_real: -0.033584 Loss_D_fake 0.007362
[140/5000][195/535][14104] Loss_D: -0.042351 Loss_G: 0.006253 Loss_D_real: -0.012148 Loss_D_fake 0.030203
[140/5000][200/535][14105] Loss_D: -0.041734 Loss_G: 0.028619 Loss_D_real: -0.036975 Loss_D_fake 0.004759
[140/5000][205/535][14106] Loss_D: -0.039430 Loss_G: 0.049504 Loss_D_real: -0.049230 Loss_D_fake -0.009800
[140/5000][210/535][14107] Loss_D: -0.043265 Loss_G: 0.000883 Loss_D_real: -0.012920 Loss_D_fake 0.030345
[140/5000][215/535][14108] Loss_D: -0.041806 Loss_G: 0.018617 Loss_D_real: -0.026808 Loss_D_fake 0.014997
[140/5000][220/535][14109] Loss_D: -0.042606 Loss_G: 0.010499 Loss_D_real: -0.021959 Loss_D_fake 0.020646
[140/5000][225/535][14110] Loss_D: -0.043050 Loss_G: 0.033539 Loss_D_real: -0.032137 Loss_D_fake 0.010913
[140/5000][230/535][14111] Loss_D: -0.044769 Loss_G: 0.044851 Loss_D_real: -0.032246 Loss_D_fake 0.012523
[140/5000][235/535][14112] Loss_D: -0.041864 Loss_G: 0.015596 Loss_D_real: -0.021333 Loss_D_fake 0.020531
[140/5000][240/535][14113] Loss_D: -0.040591 Loss_G: 0.041175 Loss_D_real: -0.043835 Loss_D_fake -0.003244
[140/5000][245/535][14114] Loss_D: -0.043044 Loss_G: -0.002993 Loss_D_real: -0.008226 Loss_D_fake 0.034818
[140/5000][250/535][14115] Loss_D: -0.043324 Loss_G: 0.013277 Loss_D_real: -0.017161 Loss_D_fake 0.026163
[140/5000][255/535][14116] Loss_D: -0.040982 Loss_G: 0.040162 Loss_D_real: -0.036585 Loss_D_fake 0.004396
[140/5000][260/535][14117] Loss_D: -0.044454 Loss_G: 0.044807 Loss_D_real: -0.033656 Loss_D_fake 0.010798
[140/5000][265/535][14118] Loss_D: -0.043535 Loss_G: 0.024228 Loss_D_real: -0.024076 Loss_D_fake 0.019459
[140/5000][270/535][14119] Loss_D: -0.042330 Loss_G: 0.039255 Loss_D_real: -0.033377 Loss_D_fake 0.008953
[140/5000][275/535][14120] Loss_D: -0.040939 Loss_G: 0.002690 Loss_D_real: -0.009830 Loss_D_fake 0.031109
[140/5000][280/535][14121] Loss_D: -0.041686 Loss_G: 0.039414 Loss_D_real: -0.039298 Loss_D_fake 0.002388
[140/5000][285/535][14122] Loss_D: -0.043464 Loss_G: -0.008617 Loss_D_real: -0.004888 Loss_D_fake 0.038577
[140/5000][290/535][14123] Loss_D: -0.041323 Loss_G: 0.032936 Loss_D_real: -0.040104 Loss_D_fake 0.001218
[140/5000][295/535][14124] Loss_D: -0.040960 Loss_G: 0.008137 Loss_D_real: -0.017393 Loss_D_fake 0.023567
[140/5000][300/535][14125] Loss_D: -0.040277 Loss_G: 0.043398 Loss_D_real: -0.041397 Loss_D_fake -0.001120
[140/5000][305/535][14126] Loss_D: -0.042717 Loss_G: 0.041268 Loss_D_real: -0.039566 Loss_D_fake 0.003151
[140/5000][310/535][14127] Loss_D: -0.042788 Loss_G: 0.006839 Loss_D_real: -0.013689 Loss_D_fake 0.029099
[140/5000][315/535][14128] Loss_D: -0.041660 Loss_G: 0.024121 Loss_D_real: -0.031060 Loss_D_fake 0.010600
[140/5000][320/535][14129] Loss_D: -0.043577 Loss_G: 0.023456 Loss_D_real: -0.025373 Loss_D_fake 0.018204
[140/5000][325/535][14130] Loss_D: -0.043038 Loss_G: 0.021128 Loss_D_real: -0.021994 Loss_D_fake 0.021044
[140/5000][330/535][14131] Loss_D: -0.041611 Loss_G: 0.035495 Loss_D_real: -0.041123 Loss_D_fake 0.000488
[140/5000][335/535][14132] Loss_D: -0.043200 Loss_G: -0.005563 Loss_D_real: -0.008879 Loss_D_fake 0.034321
[140/5000][340/535][14133] Loss_D: -0.039343 Loss_G: 0.035492 Loss_D_real: -0.033776 Loss_D_fake 0.005567
[140/5000][345/535][14134] Loss_D: -0.041068 Loss_G: 0.006822 Loss_D_real: -0.010274 Loss_D_fake 0.030794
[140/5000][350/535][14135] Loss_D: -0.041328 Loss_G: 0.026683 Loss_D_real: -0.029201 Loss_D_fake 0.012127
[140/5000][355/535][14136] Loss_D: -0.040528 Loss_G: 0.011599 Loss_D_real: -0.010650 Loss_D_fake 0.029878
[140/5000][360/535][14137] Loss_D: -0.040013 Loss_G: 0.012453 Loss_D_real: -0.015114 Loss_D_fake 0.024899
[140/5000][365/535][14138] Loss_D: -0.040353 Loss_G: 0.004333 Loss_D_real: -0.011422 Loss_D_fake 0.028931
[140/5000][370/535][14139] Loss_D: -0.041139 Loss_G: 0.035798 Loss_D_real: -0.034668 Loss_D_fake 0.006471
[140/5000][375/535][14140] Loss_D: -0.041228 Loss_G: 0.014396 Loss_D_real: -0.017228 Loss_D_fake 0.024000
[140/5000][380/535][14141] Loss_D: -0.040903 Loss_G: 0.029817 Loss_D_real: -0.034363 Loss_D_fake 0.006540
[140/5000][385/535][14142] Loss_D: -0.043206 Loss_G: 0.016223 Loss_D_real: -0.020502 Loss_D_fake 0.022704
[140/5000][390/535][14143] Loss_D: -0.040495 Loss_G: 0.036015 Loss_D_real: -0.036840 Loss_D_fake 0.003655
[140/5000][395/535][14144] Loss_D: -0.040590 Loss_G: 0.004266 Loss_D_real: -0.011821 Loss_D_fake 0.028769
[140/5000][400/535][14145] Loss_D: -0.040857 Loss_G: 0.023850 Loss_D_real: -0.024288 Loss_D_fake 0.016569
[140/5000][405/535][14146] Loss_D: -0.040654 Loss_G: 0.001605 Loss_D_real: -0.014373 Loss_D_fake 0.026281
[140/5000][410/535][14147] Loss_D: -0.040736 Loss_G: 0.022453 Loss_D_real: -0.030039 Loss_D_fake 0.010696
[140/5000][415/535][14148] Loss_D: -0.040476 Loss_G: 0.006296 Loss_D_real: -0.016174 Loss_D_fake 0.024302
[140/5000][420/535][14149] Loss_D: -0.043085 Loss_G: 0.027226 Loss_D_real: -0.033194 Loss_D_fake 0.009891
[140/5000][425/535][14150] Loss_D: -0.041812 Loss_G: 0.023601 Loss_D_real: -0.025270 Loss_D_fake 0.016542
[140/5000][430/535][14151] Loss_D: -0.039381 Loss_G: 0.025564 Loss_D_real: -0.025461 Loss_D_fake 0.013921
[140/5000][435/535][14152] Loss_D: -0.038546 Loss_G: 0.011968 Loss_D_real: -0.014247 Loss_D_fake 0.024299
[140/5000][440/535][14153] Loss_D: -0.041031 Loss_G: 0.016811 Loss_D_real: -0.023555 Loss_D_fake 0.017476
[140/5000][445/535][14154] Loss_D: -0.038522 Loss_G: -0.011284 Loss_D_real: -0.007870 Loss_D_fake 0.030652
[140/5000][450/535][14155] Loss_D: -0.040278 Loss_G: 0.014002 Loss_D_real: -0.019282 Loss_D_fake 0.020995
[140/5000][455/535][14156] Loss_D: -0.040642 Loss_G: -0.002500 Loss_D_real: -0.011046 Loss_D_fake 0.029596
[140/5000][460/535][14157] Loss_D: -0.040886 Loss_G: 0.047788 Loss_D_real: -0.042034 Loss_D_fake -0.001148
[140/5000][465/535][14158] Loss_D: -0.041115 Loss_G: -0.010210 Loss_D_real: -0.012082 Loss_D_fake 0.029033
[140/5000][470/535][14159] Loss_D: -0.039836 Loss_G: 0.039114 Loss_D_real: -0.041269 Loss_D_fake -0.001433
[140/5000][475/535][14160] Loss_D: -0.043960 Loss_G: 0.022870 Loss_D_real: -0.021903 Loss_D_fake 0.022056
[140/5000][480/535][14161] Loss_D: -0.043457 Loss_G: 0.002795 Loss_D_real: -0.010522 Loss_D_fake 0.032934
[140/5000][485/535][14162] Loss_D: -0.042760 Loss_G: 0.028494 Loss_D_real: -0.034099 Loss_D_fake 0.008661
[140/5000][490/535][14163] Loss_D: -0.044364 Loss_G: 0.037334 Loss_D_real: -0.037964 Loss_D_fake 0.006400
[140/5000][495/535][14164] Loss_D: -0.045183 Loss_G: 0.005982 Loss_D_real: -0.018037 Loss_D_fake 0.027146
[140/5000][500/535][14165] Loss_D: -0.042665 Loss_G: 0.004785 Loss_D_real: -0.014448 Loss_D_fake 0.028217
[140/5000][505/535][14166] Loss_D: -0.042154 Loss_G: 0.025570 Loss_D_real: -0.026645 Loss_D_fake 0.015509
[140/5000][510/535][14167] Loss_D: -0.044085 Loss_G: 0.025680 Loss_D_real: -0.031427 Loss_D_fake 0.012658
[140/5000][515/535][14168] Loss_D: -0.041862 Loss_G: 0.051737 Loss_D_real: -0.049437 Loss_D_fake -0.007575
[140/5000][520/535][14169] Loss_D: -0.040800 Loss_G: -0.014020 Loss_D_real: 0.002271 Loss_D_fake 0.043072
[140/5000][525/535][14170] Loss_D: -0.038996 Loss_G: 0.025554 Loss_D_real: -0.032787 Loss_D_fake 0.006209
[140/5000][530/535][14171] Loss_D: -0.040182 Loss_G: -0.001917 Loss_D_real: -0.004848 Loss_D_fake 0.035334
[140/5000][535/535][14172] Loss_D: -0.038049 Loss_G: 0.026921 Loss_D_real: -0.032720 Loss_D_fake 0.005329
[141/5000][5/535][14173] Loss_D: -0.044671 Loss_G: 0.034464 Loss_D_real: -0.032903 Loss_D_fake 0.011768
[141/5000][10/535][14174] Loss_D: -0.041985 Loss_G: 0.043065 Loss_D_real: -0.036299 Loss_D_fake 0.005686
[141/5000][15/535][14175] Loss_D: -0.042575 Loss_G: 0.024058 Loss_D_real: -0.026714 Loss_D_fake 0.015860
[141/5000][20/535][14176] Loss_D: -0.041595 Loss_G: 0.032509 Loss_D_real: -0.034797 Loss_D_fake 0.006799
[141/5000][25/535][14177] Loss_D: -0.041819 Loss_G: 0.043086 Loss_D_real: -0.037012 Loss_D_fake 0.004807
[141/5000][30/535][14178] Loss_D: -0.041084 Loss_G: -0.003385 Loss_D_real: -0.009841 Loss_D_fake 0.031243
[141/5000][35/535][14179] Loss_D: -0.041986 Loss_G: 0.003391 Loss_D_real: -0.019888 Loss_D_fake 0.022098
[141/5000][40/535][14180] Loss_D: -0.040564 Loss_G: 0.032282 Loss_D_real: -0.030726 Loss_D_fake 0.009838
[141/5000][45/535][14181] Loss_D: -0.042202 Loss_G: 0.040201 Loss_D_real: -0.032162 Loss_D_fake 0.010040
[141/5000][50/535][14182] Loss_D: -0.041157 Loss_G: 0.039601 Loss_D_real: -0.040094 Loss_D_fake 0.001063
[141/5000][55/535][14183] Loss_D: -0.043987 Loss_G: 0.011340 Loss_D_real: -0.022072 Loss_D_fake 0.021915
[141/5000][60/535][14184] Loss_D: -0.043279 Loss_G: 0.021717 Loss_D_real: -0.025459 Loss_D_fake 0.017820
[141/5000][65/535][14185] Loss_D: -0.042892 Loss_G: 0.036564 Loss_D_real: -0.039329 Loss_D_fake 0.003563
[141/5000][70/535][14186] Loss_D: -0.043029 Loss_G: 0.000917 Loss_D_real: -0.004336 Loss_D_fake 0.038692
[141/5000][75/535][14187] Loss_D: -0.041473 Loss_G: 0.041377 Loss_D_real: -0.043688 Loss_D_fake -0.002215
[141/5000][80/535][14188] Loss_D: -0.043032 Loss_G: 0.030482 Loss_D_real: -0.028637 Loss_D_fake 0.014394
[141/5000][85/535][14189] Loss_D: -0.042691 Loss_G: 0.033640 Loss_D_real: -0.031697 Loss_D_fake 0.010994
[141/5000][90/535][14190] Loss_D: -0.042734 Loss_G: 0.001787 Loss_D_real: -0.009159 Loss_D_fake 0.033575
[141/5000][95/535][14191] Loss_D: -0.040615 Loss_G: 0.040244 Loss_D_real: -0.039591 Loss_D_fake 0.001024
[141/5000][100/535][14192] Loss_D: -0.042232 Loss_G: 0.033942 Loss_D_real: -0.032732 Loss_D_fake 0.009500
[141/5000][105/535][14193] Loss_D: -0.042093 Loss_G: 0.030102 Loss_D_real: -0.031421 Loss_D_fake 0.010672
[141/5000][110/535][14194] Loss_D: -0.042755 Loss_G: 0.048851 Loss_D_real: -0.041577 Loss_D_fake 0.001177
[141/5000][115/535][14195] Loss_D: -0.039870 Loss_G: -0.012891 Loss_D_real: 0.004856 Loss_D_fake 0.044726
[141/5000][120/535][14196] Loss_D: -0.038437 Loss_G: 0.037416 Loss_D_real: -0.041003 Loss_D_fake -0.002566
[141/5000][125/535][14197] Loss_D: -0.040062 Loss_G: -0.005848 Loss_D_real: 0.003476 Loss_D_fake 0.043538
[141/5000][130/535][14198] Loss_D: -0.040195 Loss_G: 0.033745 Loss_D_real: -0.040065 Loss_D_fake 0.000130
[141/5000][135/535][14199] Loss_D: -0.040270 Loss_G: 0.009151 Loss_D_real: -0.011191 Loss_D_fake 0.029079
[141/5000][140/535][14200] Loss_D: -0.040043 Loss_G: 0.014508 Loss_D_real: -0.018165 Loss_D_fake 0.021879
[141/5000][145/535][14201] Loss_D: -0.038441 Loss_G: 0.007635 Loss_D_real: -0.018773 Loss_D_fake 0.019668
[141/5000][150/535][14202] Loss_D: -0.039939 Loss_G: 0.034277 Loss_D_real: -0.025391 Loss_D_fake 0.014548
[141/5000][155/535][14203] Loss_D: -0.042285 Loss_G: 0.001457 Loss_D_real: -0.011416 Loss_D_fake 0.030869
[141/5000][160/535][14204] Loss_D: -0.039741 Loss_G: 0.043708 Loss_D_real: -0.037917 Loss_D_fake 0.001825
[141/5000][165/535][14205] Loss_D: -0.041492 Loss_G: 0.016594 Loss_D_real: -0.025507 Loss_D_fake 0.015985
[141/5000][170/535][14206] Loss_D: -0.040917 Loss_G: 0.045706 Loss_D_real: -0.042792 Loss_D_fake -0.001876
[141/5000][175/535][14207] Loss_D: -0.042481 Loss_G: -0.000427 Loss_D_real: -0.017134 Loss_D_fake 0.025348
[141/5000][180/535][14208] Loss_D: -0.040838 Loss_G: 0.021973 Loss_D_real: -0.024221 Loss_D_fake 0.016617
[141/5000][185/535][14209] Loss_D: -0.042721 Loss_G: 0.021545 Loss_D_real: -0.026758 Loss_D_fake 0.015963
[141/5000][190/535][14210] Loss_D: -0.044308 Loss_G: 0.018160 Loss_D_real: -0.022869 Loss_D_fake 0.021439
[141/5000][195/535][14211] Loss_D: -0.042390 Loss_G: 0.029654 Loss_D_real: -0.036833 Loss_D_fake 0.005557
[141/5000][200/535][14212] Loss_D: -0.041897 Loss_G: 0.033392 Loss_D_real: -0.028423 Loss_D_fake 0.013474
[141/5000][205/535][14213] Loss_D: -0.043216 Loss_G: 0.013026 Loss_D_real: -0.020255 Loss_D_fake 0.022962
[141/5000][210/535][14214] Loss_D: -0.039990 Loss_G: 0.030451 Loss_D_real: -0.037246 Loss_D_fake 0.002745
[141/5000][215/535][14215] Loss_D: -0.039796 Loss_G: 0.002887 Loss_D_real: -0.009894 Loss_D_fake 0.029902
[141/5000][220/535][14216] Loss_D: -0.039083 Loss_G: 0.030937 Loss_D_real: -0.033260 Loss_D_fake 0.005823
[141/5000][225/535][14217] Loss_D: -0.040002 Loss_G: 0.005122 Loss_D_real: -0.014584 Loss_D_fake 0.025418
[141/5000][230/535][14218] Loss_D: -0.039169 Loss_G: 0.048405 Loss_D_real: -0.051971 Loss_D_fake -0.012802
[141/5000][235/535][14219] Loss_D: -0.043339 Loss_G: 0.022039 Loss_D_real: -0.025481 Loss_D_fake 0.017858
[141/5000][240/535][14220] Loss_D: -0.042232 Loss_G: 0.006372 Loss_D_real: -0.020784 Loss_D_fake 0.021448
[141/5000][245/535][14221] Loss_D: -0.041222 Loss_G: 0.041392 Loss_D_real: -0.042652 Loss_D_fake -0.001430
[141/5000][250/535][14222] Loss_D: -0.042365 Loss_G: -0.008357 Loss_D_real: -0.007812 Loss_D_fake 0.034554
[141/5000][255/535][14223] Loss_D: -0.042891 Loss_G: 0.027794 Loss_D_real: -0.025822 Loss_D_fake 0.017069
[141/5000][260/535][14224] Loss_D: -0.042165 Loss_G: 0.012597 Loss_D_real: -0.025225 Loss_D_fake 0.016940
[141/5000][265/535][14225] Loss_D: -0.043015 Loss_G: 0.030739 Loss_D_real: -0.035420 Loss_D_fake 0.007595
[141/5000][270/535][14226] Loss_D: -0.042955 Loss_G: 0.032399 Loss_D_real: -0.028746 Loss_D_fake 0.014209
[141/5000][275/535][14227] Loss_D: -0.045129 Loss_G: 0.038888 Loss_D_real: -0.039410 Loss_D_fake 0.005719
[141/5000][280/535][14228] Loss_D: -0.041193 Loss_G: -0.014240 Loss_D_real: 0.002254 Loss_D_fake 0.043448
[141/5000][285/535][14229] Loss_D: -0.039969 Loss_G: 0.023100 Loss_D_real: -0.031720 Loss_D_fake 0.008249
[141/5000][290/535][14230] Loss_D: -0.040879 Loss_G: 0.008945 Loss_D_real: -0.010414 Loss_D_fake 0.030465
[141/5000][295/535][14231] Loss_D: -0.038614 Loss_G: 0.043644 Loss_D_real: -0.040777 Loss_D_fake -0.002163
[141/5000][300/535][14232] Loss_D: -0.041367 Loss_G: 0.012345 Loss_D_real: -0.019256 Loss_D_fake 0.022112
[141/5000][305/535][14233] Loss_D: -0.041765 Loss_G: 0.019813 Loss_D_real: -0.029528 Loss_D_fake 0.012237
[141/5000][310/535][14234] Loss_D: -0.040210 Loss_G: 0.047268 Loss_D_real: -0.041985 Loss_D_fake -0.001775
[141/5000][315/535][14235] Loss_D: -0.041188 Loss_G: 0.010868 Loss_D_real: -0.021630 Loss_D_fake 0.019558
[141/5000][320/535][14236] Loss_D: -0.041804 Loss_G: 0.044447 Loss_D_real: -0.037942 Loss_D_fake 0.003862
[141/5000][325/535][14237] Loss_D: -0.043923 Loss_G: 0.002170 Loss_D_real: -0.013445 Loss_D_fake 0.030479
[141/5000][330/535][14238] Loss_D: -0.041154 Loss_G: 0.036395 Loss_D_real: -0.037196 Loss_D_fake 0.003958
[141/5000][335/535][14239] Loss_D: -0.042587 Loss_G: 0.022546 Loss_D_real: -0.023924 Loss_D_fake 0.018663
[141/5000][340/535][14240] Loss_D: -0.043448 Loss_G: 0.010940 Loss_D_real: -0.013532 Loss_D_fake 0.029916
[141/5000][345/535][14241] Loss_D: -0.040611 Loss_G: 0.036921 Loss_D_real: -0.036806 Loss_D_fake 0.003805
[141/5000][350/535][14242] Loss_D: -0.043568 Loss_G: 0.009052 Loss_D_real: -0.022870 Loss_D_fake 0.020698
[141/5000][355/535][14243] Loss_D: -0.038169 Loss_G: 0.050478 Loss_D_real: -0.047544 Loss_D_fake -0.009374
[141/5000][360/535][14244] Loss_D: -0.038849 Loss_G: 0.002651 Loss_D_real: -0.014745 Loss_D_fake 0.024104
[141/5000][365/535][14245] Loss_D: -0.040950 Loss_G: 0.040425 Loss_D_real: -0.038684 Loss_D_fake 0.002265
[141/5000][370/535][14246] Loss_D: -0.040572 Loss_G: 0.007104 Loss_D_real: -0.009970 Loss_D_fake 0.030602
[141/5000][375/535][14247] Loss_D: -0.040209 Loss_G: 0.030442 Loss_D_real: -0.027518 Loss_D_fake 0.012691
[141/5000][380/535][14248] Loss_D: -0.041793 Loss_G: 0.039613 Loss_D_real: -0.039771 Loss_D_fake 0.002022
[141/5000][385/535][14249] Loss_D: -0.041051 Loss_G: -0.005475 Loss_D_real: -0.016018 Loss_D_fake 0.025033
[141/5000][390/535][14250] Loss_D: -0.040183 Loss_G: 0.036041 Loss_D_real: -0.035995 Loss_D_fake 0.004188
[141/5000][395/535][14251] Loss_D: -0.040939 Loss_G: 0.008546 Loss_D_real: -0.019105 Loss_D_fake 0.021834
[141/5000][400/535][14252] Loss_D: -0.041689 Loss_G: 0.023682 Loss_D_real: -0.023731 Loss_D_fake 0.017958
[141/5000][405/535][14253] Loss_D: -0.041228 Loss_G: 0.033165 Loss_D_real: -0.033034 Loss_D_fake 0.008194
[141/5000][410/535][14254] Loss_D: -0.042458 Loss_G: 0.039946 Loss_D_real: -0.032599 Loss_D_fake 0.009859
[141/5000][415/535][14255] Loss_D: -0.039778 Loss_G: 0.054818 Loss_D_real: -0.050792 Loss_D_fake -0.011014
[141/5000][420/535][14256] Loss_D: -0.039803 Loss_G: -0.008706 Loss_D_real: -0.002035 Loss_D_fake 0.037768
[141/5000][425/535][14257] Loss_D: -0.039355 Loss_G: 0.034149 Loss_D_real: -0.041332 Loss_D_fake -0.001976
[141/5000][430/535][14258] Loss_D: -0.038415 Loss_G: 0.003976 Loss_D_real: -0.012702 Loss_D_fake 0.025712
[141/5000][435/535][14259] Loss_D: -0.039106 Loss_G: 0.024941 Loss_D_real: -0.029884 Loss_D_fake 0.009222
[141/5000][440/535][14260] Loss_D: -0.042929 Loss_G: 0.021921 Loss_D_real: -0.020239 Loss_D_fake 0.022690
[141/5000][445/535][14261] Loss_D: -0.044466 Loss_G: 0.028342 Loss_D_real: -0.027612 Loss_D_fake 0.016854
[141/5000][450/535][14262] Loss_D: -0.042000 Loss_G: 0.022172 Loss_D_real: -0.014983 Loss_D_fake 0.027018
[141/5000][455/535][14263] Loss_D: -0.039843 Loss_G: 0.041592 Loss_D_real: -0.037870 Loss_D_fake 0.001974
[141/5000][460/535][14264] Loss_D: -0.039753 Loss_G: -0.009022 Loss_D_real: -0.005761 Loss_D_fake 0.033992
[141/5000][465/535][14265] Loss_D: -0.041194 Loss_G: 0.017087 Loss_D_real: -0.016385 Loss_D_fake 0.024808
[141/5000][470/535][14266] Loss_D: -0.042452 Loss_G: 0.013380 Loss_D_real: -0.019289 Loss_D_fake 0.023163
[141/5000][475/535][14267] Loss_D: -0.039710 Loss_G: 0.039869 Loss_D_real: -0.037337 Loss_D_fake 0.002372
[141/5000][480/535][14268] Loss_D: -0.041869 Loss_G: 0.018595 Loss_D_real: -0.021684 Loss_D_fake 0.020184
[141/5000][485/535][14269] Loss_D: -0.041565 Loss_G: 0.011403 Loss_D_real: -0.015249 Loss_D_fake 0.026316
[141/5000][490/535][14270] Loss_D: -0.042828 Loss_G: 0.033727 Loss_D_real: -0.033844 Loss_D_fake 0.008984
[141/5000][495/535][14271] Loss_D: -0.041907 Loss_G: 0.044156 Loss_D_real: -0.038431 Loss_D_fake 0.003476
[141/5000][500/535][14272] Loss_D: -0.042378 Loss_G: 0.011601 Loss_D_real: -0.019164 Loss_D_fake 0.023214
[141/5000][505/535][14273] Loss_D: -0.042303 Loss_G: 0.041966 Loss_D_real: -0.039662 Loss_D_fake 0.002642
[141/5000][510/535][14274] Loss_D: -0.041138 Loss_G: 0.040683 Loss_D_real: -0.037748 Loss_D_fake 0.003390
[141/5000][515/535][14275] Loss_D: -0.043371 Loss_G: 0.004891 Loss_D_real: -0.016564 Loss_D_fake 0.026806
[141/5000][520/535][14276] Loss_D: -0.041262 Loss_G: 0.042504 Loss_D_real: -0.039543 Loss_D_fake 0.001719
[141/5000][525/535][14277] Loss_D: -0.039783 Loss_G: -0.015350 Loss_D_real: 0.004163 Loss_D_fake 0.043946
[141/5000][530/535][14278] Loss_D: -0.040382 Loss_G: 0.025380 Loss_D_real: -0.029331 Loss_D_fake 0.011052
[141/5000][535/535][14279] Loss_D: -0.039532 Loss_G: 0.018590 Loss_D_real: -0.008819 Loss_D_fake 0.030713
[142/5000][5/535][14280] Loss_D: -0.042159 Loss_G: 0.018077 Loss_D_real: -0.016650 Loss_D_fake 0.025509
[142/5000][10/535][14281] Loss_D: -0.041649 Loss_G: 0.026900 Loss_D_real: -0.022874 Loss_D_fake 0.018775
[142/5000][15/535][14282] Loss_D: -0.042605 Loss_G: 0.047765 Loss_D_real: -0.039816 Loss_D_fake 0.002789
[142/5000][20/535][14283] Loss_D: -0.041011 Loss_G: -0.006605 Loss_D_real: -0.006286 Loss_D_fake 0.034724
[142/5000][25/535][14284] Loss_D: -0.040689 Loss_G: 0.042432 Loss_D_real: -0.043001 Loss_D_fake -0.002312
[142/5000][30/535][14285] Loss_D: -0.043155 Loss_G: 0.000263 Loss_D_real: -0.012630 Loss_D_fake 0.030526
[142/5000][35/535][14286] Loss_D: -0.039753 Loss_G: 0.038174 Loss_D_real: -0.038635 Loss_D_fake 0.001118
[142/5000][40/535][14287] Loss_D: -0.040402 Loss_G: -0.006643 Loss_D_real: -0.005626 Loss_D_fake 0.034776
[142/5000][45/535][14288] Loss_D: -0.041546 Loss_G: 0.027704 Loss_D_real: -0.027338 Loss_D_fake 0.014208
[142/5000][50/535][14289] Loss_D: -0.039816 Loss_G: 0.004569 Loss_D_real: -0.009020 Loss_D_fake 0.030796
[142/5000][55/535][14290] Loss_D: -0.040815 Loss_G: 0.023087 Loss_D_real: -0.027701 Loss_D_fake 0.013114
[142/5000][60/535][14291] Loss_D: -0.042004 Loss_G: 0.044002 Loss_D_real: -0.042223 Loss_D_fake -0.000219
[142/5000][65/535][14292] Loss_D: -0.038971 Loss_G: 0.032656 Loss_D_real: -0.031897 Loss_D_fake 0.007074
[142/5000][70/535][14293] Loss_D: -0.041768 Loss_G: 0.048752 Loss_D_real: -0.047775 Loss_D_fake -0.006007
[142/5000][75/535][14294] Loss_D: -0.040330 Loss_G: 0.004396 Loss_D_real: -0.008932 Loss_D_fake 0.031398
[142/5000][80/535][14295] Loss_D: -0.040379 Loss_G: 0.035313 Loss_D_real: -0.040925 Loss_D_fake -0.000546
[142/5000][85/535][14296] Loss_D: -0.042433 Loss_G: 0.033697 Loss_D_real: -0.028003 Loss_D_fake 0.014430
[142/5000][90/535][14297] Loss_D: -0.043925 Loss_G: 0.028004 Loss_D_real: -0.032479 Loss_D_fake 0.011446
[142/5000][95/535][14298] Loss_D: -0.041669 Loss_G: 0.031495 Loss_D_real: -0.030785 Loss_D_fake 0.010884
[142/5000][100/535][14299] Loss_D: -0.044876 Loss_G: 0.017265 Loss_D_real: -0.020617 Loss_D_fake 0.024260
[142/5000][105/535][14300] Loss_D: -0.043598 Loss_G: 0.024066 Loss_D_real: -0.025859 Loss_D_fake 0.017740
[142/5000][110/535][14301] Loss_D: -0.043278 Loss_G: 0.043847 Loss_D_real: -0.037275 Loss_D_fake 0.006004
[142/5000][115/535][14302] Loss_D: -0.038752 Loss_G: -0.018806 Loss_D_real: 0.004108 Loss_D_fake 0.042860
[142/5000][120/535][14303] Loss_D: -0.040481 Loss_G: 0.037027 Loss_D_real: -0.035273 Loss_D_fake 0.005208
[142/5000][125/535][14304] Loss_D: -0.043285 Loss_G: 0.022570 Loss_D_real: -0.026015 Loss_D_fake 0.017270
[142/5000][130/535][14305] Loss_D: -0.040140 Loss_G: -0.005950 Loss_D_real: -0.015522 Loss_D_fake 0.024619
[142/5000][135/535][14306] Loss_D: -0.040012 Loss_G: 0.046660 Loss_D_real: -0.042524 Loss_D_fake -0.002512
[142/5000][140/535][14307] Loss_D: -0.040855 Loss_G: 0.033844 Loss_D_real: -0.033367 Loss_D_fake 0.007488
[142/5000][145/535][14308] Loss_D: -0.042244 Loss_G: 0.001214 Loss_D_real: -0.010551 Loss_D_fake 0.031693
[142/5000][150/535][14309] Loss_D: -0.041122 Loss_G: 0.019164 Loss_D_real: -0.020952 Loss_D_fake 0.020169
[142/5000][155/535][14310] Loss_D: -0.042633 Loss_G: 0.021831 Loss_D_real: -0.027599 Loss_D_fake 0.015035
[142/5000][160/535][14311] Loss_D: -0.042249 Loss_G: 0.027296 Loss_D_real: -0.029944 Loss_D_fake 0.012306
[142/5000][165/535][14312] Loss_D: -0.043581 Loss_G: 0.031075 Loss_D_real: -0.028363 Loss_D_fake 0.015219
[142/5000][170/535][14313] Loss_D: -0.039160 Loss_G: 0.002704 Loss_D_real: -0.000637 Loss_D_fake 0.038523
[142/5000][175/535][14314] Loss_D: -0.040919 Loss_G: 0.022454 Loss_D_real: -0.027049 Loss_D_fake 0.013870
[142/5000][180/535][14315] Loss_D: -0.041149 Loss_G: 0.000075 Loss_D_real: -0.012793 Loss_D_fake 0.028356
[142/5000][185/535][14316] Loss_D: -0.039608 Loss_G: 0.039346 Loss_D_real: -0.037055 Loss_D_fake 0.002552
[142/5000][190/535][14317] Loss_D: -0.039543 Loss_G: 0.004841 Loss_D_real: -0.016009 Loss_D_fake 0.023534
[142/5000][195/535][14318] Loss_D: -0.040039 Loss_G: 0.029588 Loss_D_real: -0.032716 Loss_D_fake 0.007323
[142/5000][200/535][14319] Loss_D: -0.040161 Loss_G: 0.030568 Loss_D_real: -0.025054 Loss_D_fake 0.015107
[142/5000][205/535][14320] Loss_D: -0.040639 Loss_G: -0.008272 Loss_D_real: -0.006914 Loss_D_fake 0.033725
[142/5000][210/535][14321] Loss_D: -0.042445 Loss_G: 0.032763 Loss_D_real: -0.031122 Loss_D_fake 0.011323
[142/5000][215/535][14322] Loss_D: -0.039801 Loss_G: 0.042607 Loss_D_real: -0.042120 Loss_D_fake -0.002319
[142/5000][220/535][14323] Loss_D: -0.041841 Loss_G: -0.005720 Loss_D_real: -0.001549 Loss_D_fake 0.040292
[142/5000][225/535][14324] Loss_D: -0.039545 Loss_G: 0.024853 Loss_D_real: -0.035741 Loss_D_fake 0.003804
[142/5000][230/535][14325] Loss_D: -0.041591 Loss_G: 0.043426 Loss_D_real: -0.037510 Loss_D_fake 0.004080
[142/5000][235/535][14326] Loss_D: -0.041518 Loss_G: -0.003831 Loss_D_real: -0.008882 Loss_D_fake 0.032636
[142/5000][240/535][14327] Loss_D: -0.039855 Loss_G: 0.033077 Loss_D_real: -0.030553 Loss_D_fake 0.009302
[142/5000][245/535][14328] Loss_D: -0.044996 Loss_G: 0.023916 Loss_D_real: -0.030868 Loss_D_fake 0.014128
[142/5000][250/535][14329] Loss_D: -0.041784 Loss_G: 0.045177 Loss_D_real: -0.037418 Loss_D_fake 0.004366
[142/5000][255/535][14330] Loss_D: -0.041857 Loss_G: 0.014279 Loss_D_real: -0.012121 Loss_D_fake 0.029735
[142/5000][260/535][14331] Loss_D: -0.040956 Loss_G: 0.018426 Loss_D_real: -0.020111 Loss_D_fake 0.020846
[142/5000][265/535][14332] Loss_D: -0.040712 Loss_G: -0.004572 Loss_D_real: -0.009395 Loss_D_fake 0.031317
[142/5000][270/535][14333] Loss_D: -0.040813 Loss_G: 0.022590 Loss_D_real: -0.023317 Loss_D_fake 0.017496
[142/5000][275/535][14334] Loss_D: -0.040137 Loss_G: 0.023797 Loss_D_real: -0.029485 Loss_D_fake 0.010652
[142/5000][280/535][14335] Loss_D: -0.043356 Loss_G: 0.047342 Loss_D_real: -0.036369 Loss_D_fake 0.006988
[142/5000][285/535][14336] Loss_D: -0.043227 Loss_G: -0.000787 Loss_D_real: -0.008665 Loss_D_fake 0.034562
[142/5000][290/535][14337] Loss_D: -0.041510 Loss_G: 0.034181 Loss_D_real: -0.036717 Loss_D_fake 0.004793
[142/5000][295/535][14338] Loss_D: -0.042150 Loss_G: -0.012658 Loss_D_real: -0.005054 Loss_D_fake 0.037095
[142/5000][300/535][14339] Loss_D: -0.040150 Loss_G: 0.042566 Loss_D_real: -0.048257 Loss_D_fake -0.008107
[142/5000][305/535][14340] Loss_D: -0.042859 Loss_G: 0.015354 Loss_D_real: -0.021535 Loss_D_fake 0.021324
[142/5000][310/535][14341] Loss_D: -0.040565 Loss_G: 0.019923 Loss_D_real: -0.025358 Loss_D_fake 0.015207
[142/5000][315/535][14342] Loss_D: -0.041955 Loss_G: 0.009486 Loss_D_real: -0.019695 Loss_D_fake 0.022260
[142/5000][320/535][14343] Loss_D: -0.045362 Loss_G: 0.031446 Loss_D_real: -0.030738 Loss_D_fake 0.014624
[142/5000][325/535][14344] Loss_D: -0.041829 Loss_G: 0.012080 Loss_D_real: -0.019701 Loss_D_fake 0.022128
[142/5000][330/535][14345] Loss_D: -0.042712 Loss_G: 0.013867 Loss_D_real: -0.017919 Loss_D_fake 0.024792
[142/5000][335/535][14346] Loss_D: -0.040772 Loss_G: 0.051985 Loss_D_real: -0.047301 Loss_D_fake -0.006529
[142/5000][340/535][14347] Loss_D: -0.041057 Loss_G: 0.017415 Loss_D_real: -0.016393 Loss_D_fake 0.024664
[142/5000][345/535][14348] Loss_D: -0.041451 Loss_G: 0.021023 Loss_D_real: -0.028266 Loss_D_fake 0.013184
[142/5000][350/535][14349] Loss_D: -0.041508 Loss_G: 0.012147 Loss_D_real: -0.006646 Loss_D_fake 0.034861
[142/5000][355/535][14350] Loss_D: -0.041881 Loss_G: 0.041329 Loss_D_real: -0.037892 Loss_D_fake 0.003989
[142/5000][360/535][14351] Loss_D: -0.042373 Loss_G: 0.020309 Loss_D_real: -0.021869 Loss_D_fake 0.020505
[142/5000][365/535][14352] Loss_D: -0.041796 Loss_G: 0.051605 Loss_D_real: -0.043443 Loss_D_fake -0.001647
[142/5000][370/535][14353] Loss_D: -0.041345 Loss_G: 0.006345 Loss_D_real: -0.010758 Loss_D_fake 0.030587
[142/5000][375/535][14354] Loss_D: -0.040592 Loss_G: 0.036386 Loss_D_real: -0.038498 Loss_D_fake 0.002094
[142/5000][380/535][14355] Loss_D: -0.040075 Loss_G: 0.007482 Loss_D_real: -0.010972 Loss_D_fake 0.029103
[142/5000][385/535][14356] Loss_D: -0.041157 Loss_G: 0.036181 Loss_D_real: -0.037628 Loss_D_fake 0.003529
[142/5000][390/535][14357] Loss_D: -0.039598 Loss_G: -0.001690 Loss_D_real: -0.006540 Loss_D_fake 0.033058
[142/5000][395/535][14358] Loss_D: -0.037457 Loss_G: 0.035235 Loss_D_real: -0.045620 Loss_D_fake -0.008163
[142/5000][400/535][14359] Loss_D: -0.041524 Loss_G: -0.000870 Loss_D_real: -0.004648 Loss_D_fake 0.036876
[142/5000][405/535][14360] Loss_D: -0.043051 Loss_G: 0.015661 Loss_D_real: -0.026036 Loss_D_fake 0.017015
[142/5000][410/535][14361] Loss_D: -0.042679 Loss_G: 0.027789 Loss_D_real: -0.032465 Loss_D_fake 0.010214
[142/5000][415/535][14362] Loss_D: -0.042163 Loss_G: 0.038271 Loss_D_real: -0.034916 Loss_D_fake 0.007247
[142/5000][420/535][14363] Loss_D: -0.040793 Loss_G: 0.012078 Loss_D_real: -0.014888 Loss_D_fake 0.025906
[142/5000][425/535][14364] Loss_D: -0.041695 Loss_G: 0.015311 Loss_D_real: -0.025370 Loss_D_fake 0.016326
[142/5000][430/535][14365] Loss_D: -0.040496 Loss_G: 0.013698 Loss_D_real: -0.018089 Loss_D_fake 0.022408
[142/5000][435/535][14366] Loss_D: -0.039549 Loss_G: 0.020168 Loss_D_real: -0.025967 Loss_D_fake 0.013582
[142/5000][440/535][14367] Loss_D: -0.040411 Loss_G: 0.015506 Loss_D_real: -0.022322 Loss_D_fake 0.018089
[142/5000][445/535][14368] Loss_D: -0.039740 Loss_G: 0.035849 Loss_D_real: -0.037289 Loss_D_fake 0.002451
[142/5000][450/535][14369] Loss_D: -0.037645 Loss_G: -0.004577 Loss_D_real: 0.005486 Loss_D_fake 0.043131
[142/5000][455/535][14370] Loss_D: -0.041568 Loss_G: 0.028881 Loss_D_real: -0.029807 Loss_D_fake 0.011761
[142/5000][460/535][14371] Loss_D: -0.042055 Loss_G: 0.024458 Loss_D_real: -0.033217 Loss_D_fake 0.008838
[142/5000][465/535][14372] Loss_D: -0.038435 Loss_G: 0.035304 Loss_D_real: -0.031767 Loss_D_fake 0.006668
[142/5000][470/535][14373] Loss_D: -0.039850 Loss_G: 0.010980 Loss_D_real: -0.023528 Loss_D_fake 0.016322
[142/5000][475/535][14374] Loss_D: -0.041372 Loss_G: 0.010474 Loss_D_real: -0.018596 Loss_D_fake 0.022776
[142/5000][480/535][14375] Loss_D: -0.040034 Loss_G: 0.049657 Loss_D_real: -0.042321 Loss_D_fake -0.002287
[142/5000][485/535][14376] Loss_D: -0.039286 Loss_G: -0.002278 Loss_D_real: -0.005278 Loss_D_fake 0.034008
[142/5000][490/535][14377] Loss_D: -0.041145 Loss_G: 0.023699 Loss_D_real: -0.029391 Loss_D_fake 0.011754
[142/5000][495/535][14378] Loss_D: -0.043453 Loss_G: 0.036999 Loss_D_real: -0.030191 Loss_D_fake 0.013262
[142/5000][500/535][14379] Loss_D: -0.043105 Loss_G: 0.009001 Loss_D_real: -0.021489 Loss_D_fake 0.021616
[142/5000][505/535][14380] Loss_D: -0.044851 Loss_G: 0.022734 Loss_D_real: -0.025950 Loss_D_fake 0.018901
[142/5000][510/535][14381] Loss_D: -0.042363 Loss_G: -0.007461 Loss_D_real: -0.014749 Loss_D_fake 0.027614
[142/5000][515/535][14382] Loss_D: -0.040144 Loss_G: 0.044897 Loss_D_real: -0.044859 Loss_D_fake -0.004715
[142/5000][520/535][14383] Loss_D: -0.040303 Loss_G: -0.011866 Loss_D_real: -0.001819 Loss_D_fake 0.038484
[142/5000][525/535][14384] Loss_D: -0.042258 Loss_G: 0.027153 Loss_D_real: -0.025848 Loss_D_fake 0.016410
[142/5000][530/535][14385] Loss_D: -0.042693 Loss_G: 0.010376 Loss_D_real: -0.018604 Loss_D_fake 0.024089
[142/5000][535/535][14386] Loss_D: -0.042649 Loss_G: 0.042005 Loss_D_real: -0.053941 Loss_D_fake -0.011292
[143/5000][5/535][14387] Loss_D: -0.043184 Loss_G: 0.034396 Loss_D_real: -0.025010 Loss_D_fake 0.018174
[143/5000][10/535][14388] Loss_D: -0.040744 Loss_G: -0.001429 Loss_D_real: -0.001821 Loss_D_fake 0.038924
[143/5000][15/535][14389] Loss_D: -0.040220 Loss_G: 0.020727 Loss_D_real: -0.029138 Loss_D_fake 0.011082
[143/5000][20/535][14390] Loss_D: -0.041021 Loss_G: 0.025376 Loss_D_real: -0.021100 Loss_D_fake 0.019921
[143/5000][25/535][14391] Loss_D: -0.041836 Loss_G: 0.035966 Loss_D_real: -0.027740 Loss_D_fake 0.014096
[143/5000][30/535][14392] Loss_D: -0.041601 Loss_G: 0.035873 Loss_D_real: -0.034885 Loss_D_fake 0.006716
[143/5000][35/535][14393] Loss_D: -0.043129 Loss_G: -0.010699 Loss_D_real: -0.007003 Loss_D_fake 0.036126
[143/5000][40/535][14394] Loss_D: -0.040834 Loss_G: 0.033683 Loss_D_real: -0.032366 Loss_D_fake 0.008468
[143/5000][45/535][14395] Loss_D: -0.041342 Loss_G: 0.015481 Loss_D_real: -0.020567 Loss_D_fake 0.020775
[143/5000][50/535][14396] Loss_D: -0.043281 Loss_G: 0.020880 Loss_D_real: -0.025239 Loss_D_fake 0.018041
[143/5000][55/535][14397] Loss_D: -0.038693 Loss_G: 0.028192 Loss_D_real: -0.023577 Loss_D_fake 0.015116
[143/5000][60/535][14398] Loss_D: -0.043118 Loss_G: 0.022066 Loss_D_real: -0.025456 Loss_D_fake 0.017663
[143/5000][65/535][14399] Loss_D: -0.040838 Loss_G: 0.032109 Loss_D_real: -0.025739 Loss_D_fake 0.015098
[143/5000][70/535][14400] Loss_D: -0.041724 Loss_G: -0.013591 Loss_D_real: -0.003771 Loss_D_fake 0.037953
[143/5000][75/535][14401] Loss_D: -0.037441 Loss_G: 0.039246 Loss_D_real: -0.039273 Loss_D_fake -0.001831
[143/5000][80/535][14402] Loss_D: -0.041337 Loss_G: 0.016013 Loss_D_real: -0.017949 Loss_D_fake 0.023387
[143/5000][85/535][14403] Loss_D: -0.041390 Loss_G: 0.036805 Loss_D_real: -0.039456 Loss_D_fake 0.001934
[143/5000][90/535][14404] Loss_D: -0.044496 Loss_G: 0.033774 Loss_D_real: -0.031411 Loss_D_fake 0.013085
[143/5000][95/535][14405] Loss_D: -0.041495 Loss_G: 0.019013 Loss_D_real: -0.018404 Loss_D_fake 0.023092
[143/5000][100/535][14406] Loss_D: -0.041451 Loss_G: 0.013111 Loss_D_real: -0.012210 Loss_D_fake 0.029241
[143/5000][105/535][14407] Loss_D: -0.039764 Loss_G: 0.043799 Loss_D_real: -0.045032 Loss_D_fake -0.005269
[143/5000][110/535][14408] Loss_D: -0.040617 Loss_G: -0.008430 Loss_D_real: -0.001380 Loss_D_fake 0.039237
[143/5000][115/535][14409] Loss_D: -0.040872 Loss_G: 0.023297 Loss_D_real: -0.024823 Loss_D_fake 0.016049
[143/5000][120/535][14410] Loss_D: -0.039392 Loss_G: 0.009661 Loss_D_real: -0.016931 Loss_D_fake 0.022461
[143/5000][125/535][14411] Loss_D: -0.039196 Loss_G: 0.039045 Loss_D_real: -0.032989 Loss_D_fake 0.006206
[143/5000][130/535][14412] Loss_D: -0.038354 Loss_G: -0.009574 Loss_D_real: -0.000839 Loss_D_fake 0.037515
[143/5000][135/535][14413] Loss_D: -0.039906 Loss_G: 0.037076 Loss_D_real: -0.035891 Loss_D_fake 0.004015
[143/5000][140/535][14414] Loss_D: -0.039012 Loss_G: 0.000519 Loss_D_real: -0.006027 Loss_D_fake 0.032986
[143/5000][145/535][14415] Loss_D: -0.039693 Loss_G: 0.023395 Loss_D_real: -0.031508 Loss_D_fake 0.008185
[143/5000][150/535][14416] Loss_D: -0.039601 Loss_G: -0.000065 Loss_D_real: -0.010295 Loss_D_fake 0.029306
[143/5000][155/535][14417] Loss_D: -0.041727 Loss_G: 0.034553 Loss_D_real: -0.034388 Loss_D_fake 0.007338
[143/5000][160/535][14418] Loss_D: -0.041008 Loss_G: 0.018332 Loss_D_real: -0.027100 Loss_D_fake 0.013908
[143/5000][165/535][14419] Loss_D: -0.041357 Loss_G: 0.032687 Loss_D_real: -0.029472 Loss_D_fake 0.011884
[143/5000][170/535][14420] Loss_D: -0.042208 Loss_G: -0.000949 Loss_D_real: -0.009176 Loss_D_fake 0.033033
[143/5000][175/535][14421] Loss_D: -0.041012 Loss_G: 0.036032 Loss_D_real: -0.033721 Loss_D_fake 0.007291
[143/5000][180/535][14422] Loss_D: -0.043074 Loss_G: 0.040826 Loss_D_real: -0.040737 Loss_D_fake 0.002337
[143/5000][185/535][14423] Loss_D: -0.042319 Loss_G: 0.033449 Loss_D_real: -0.028909 Loss_D_fake 0.013410
[143/5000][190/535][14424] Loss_D: -0.044739 Loss_G: 0.029686 Loss_D_real: -0.031991 Loss_D_fake 0.012748
[143/5000][195/535][14425] Loss_D: -0.042712 Loss_G: -0.004140 Loss_D_real: -0.001929 Loss_D_fake 0.040784
[143/5000][200/535][14426] Loss_D: -0.041911 Loss_G: 0.022676 Loss_D_real: -0.022269 Loss_D_fake 0.019642
[143/5000][205/535][14427] Loss_D: -0.044262 Loss_G: 0.010646 Loss_D_real: -0.016577 Loss_D_fake 0.027684
[143/5000][210/535][14428] Loss_D: -0.041488 Loss_G: 0.010461 Loss_D_real: -0.016581 Loss_D_fake 0.024907
[143/5000][215/535][14429] Loss_D: -0.039546 Loss_G: 0.046615 Loss_D_real: -0.046617 Loss_D_fake -0.007071
[143/5000][220/535][14430] Loss_D: -0.042747 Loss_G: 0.031126 Loss_D_real: -0.032507 Loss_D_fake 0.010240
[143/5000][225/535][14431] Loss_D: -0.042376 Loss_G: 0.030390 Loss_D_real: -0.032232 Loss_D_fake 0.010144
[143/5000][230/535][14432] Loss_D: -0.042843 Loss_G: 0.020632 Loss_D_real: -0.030827 Loss_D_fake 0.012016
[143/5000][235/535][14433] Loss_D: -0.041583 Loss_G: -0.001425 Loss_D_real: -0.006314 Loss_D_fake 0.035269
[143/5000][240/535][14434] Loss_D: -0.041118 Loss_G: 0.029093 Loss_D_real: -0.032842 Loss_D_fake 0.008276
[143/5000][245/535][14435] Loss_D: -0.043003 Loss_G: 0.031784 Loss_D_real: -0.029204 Loss_D_fake 0.013799
[143/5000][250/535][14436] Loss_D: -0.040834 Loss_G: 0.048725 Loss_D_real: -0.042424 Loss_D_fake -0.001591
[143/5000][255/535][14437] Loss_D: -0.039761 Loss_G: -0.008488 Loss_D_real: 0.000361 Loss_D_fake 0.040122
[143/5000][260/535][14438] Loss_D: -0.036051 Loss_G: 0.047206 Loss_D_real: -0.043155 Loss_D_fake -0.007104
[143/5000][265/535][14439] Loss_D: -0.039453 Loss_G: -0.002445 Loss_D_real: -0.005934 Loss_D_fake 0.033519
[143/5000][270/535][14440] Loss_D: -0.041204 Loss_G: 0.031179 Loss_D_real: -0.029365 Loss_D_fake 0.011839
[143/5000][275/535][14441] Loss_D: -0.040407 Loss_G: 0.031106 Loss_D_real: -0.034369 Loss_D_fake 0.006038
[143/5000][280/535][14442] Loss_D: -0.041328 Loss_G: 0.025329 Loss_D_real: -0.025758 Loss_D_fake 0.015569
[143/5000][285/535][14443] Loss_D: -0.041224 Loss_G: 0.034587 Loss_D_real: -0.030818 Loss_D_fake 0.010406
[143/5000][290/535][14444] Loss_D: -0.043078 Loss_G: 0.003956 Loss_D_real: -0.015124 Loss_D_fake 0.027953
[143/5000][295/535][14445] Loss_D: -0.041460 Loss_G: 0.029032 Loss_D_real: -0.029178 Loss_D_fake 0.012282
[143/5000][300/535][14446] Loss_D: -0.042505 Loss_G: 0.012423 Loss_D_real: -0.026552 Loss_D_fake 0.015953
[143/5000][305/535][14447] Loss_D: -0.041065 Loss_G: 0.055203 Loss_D_real: -0.042043 Loss_D_fake -0.000978
[143/5000][310/535][14448] Loss_D: -0.040256 Loss_G: -0.006800 Loss_D_real: -0.013623 Loss_D_fake 0.026633
[143/5000][315/535][14449] Loss_D: -0.038952 Loss_G: 0.016075 Loss_D_real: -0.019328 Loss_D_fake 0.019624
[143/5000][320/535][14450] Loss_D: -0.041602 Loss_G: 0.036421 Loss_D_real: -0.038728 Loss_D_fake 0.002873
[143/5000][325/535][14451] Loss_D: -0.042247 Loss_G: 0.000565 Loss_D_real: -0.014169 Loss_D_fake 0.028077
[143/5000][330/535][14452] Loss_D: -0.042990 Loss_G: 0.042019 Loss_D_real: -0.039753 Loss_D_fake 0.003237
[143/5000][335/535][14453] Loss_D: -0.041623 Loss_G: 0.043147 Loss_D_real: -0.032650 Loss_D_fake 0.008973
[143/5000][340/535][14454] Loss_D: -0.040617 Loss_G: -0.017140 Loss_D_real: 0.001535 Loss_D_fake 0.042152
[143/5000][345/535][14455] Loss_D: -0.040018 Loss_G: 0.028420 Loss_D_real: -0.029408 Loss_D_fake 0.010610
[143/5000][350/535][14456] Loss_D: -0.040677 Loss_G: 0.014797 Loss_D_real: -0.026803 Loss_D_fake 0.013874
[143/5000][355/535][14457] Loss_D: -0.043496 Loss_G: 0.035977 Loss_D_real: -0.034309 Loss_D_fake 0.009187
[143/5000][360/535][14458] Loss_D: -0.043292 Loss_G: -0.000167 Loss_D_real: -0.009991 Loss_D_fake 0.033301
[143/5000][365/535][14459] Loss_D: -0.041179 Loss_G: 0.039368 Loss_D_real: -0.037370 Loss_D_fake 0.003809
[143/5000][370/535][14460] Loss_D: -0.039678 Loss_G: -0.008118 Loss_D_real: -0.005576 Loss_D_fake 0.034101
[143/5000][375/535][14461] Loss_D: -0.038910 Loss_G: 0.034477 Loss_D_real: -0.039247 Loss_D_fake -0.000337
[143/5000][380/535][14462] Loss_D: -0.039663 Loss_G: 0.019183 Loss_D_real: -0.023280 Loss_D_fake 0.016383
[143/5000][385/535][14463] Loss_D: -0.040190 Loss_G: 0.029421 Loss_D_real: -0.028761 Loss_D_fake 0.011428
[143/5000][390/535][14464] Loss_D: -0.040122 Loss_G: 0.019453 Loss_D_real: -0.023996 Loss_D_fake 0.016127
[143/5000][395/535][14465] Loss_D: -0.041547 Loss_G: 0.032795 Loss_D_real: -0.030244 Loss_D_fake 0.011303
[143/5000][400/535][14466] Loss_D: -0.042712 Loss_G: 0.033620 Loss_D_real: -0.029471 Loss_D_fake 0.013242
[143/5000][405/535][14467] Loss_D: -0.042163 Loss_G: -0.010923 Loss_D_real: -0.005972 Loss_D_fake 0.036191
[143/5000][410/535][14468] Loss_D: -0.038696 Loss_G: 0.028282 Loss_D_real: -0.028293 Loss_D_fake 0.010403
[143/5000][415/535][14469] Loss_D: -0.042367 Loss_G: 0.041444 Loss_D_real: -0.031903 Loss_D_fake 0.010464
[143/5000][420/535][14470] Loss_D: -0.041152 Loss_G: 0.040904 Loss_D_real: -0.037379 Loss_D_fake 0.003773
[143/5000][425/535][14471] Loss_D: -0.042641 Loss_G: 0.017500 Loss_D_real: -0.025939 Loss_D_fake 0.016702
[143/5000][430/535][14472] Loss_D: -0.042340 Loss_G: 0.027214 Loss_D_real: -0.022955 Loss_D_fake 0.019385
[143/5000][435/535][14473] Loss_D: -0.042288 Loss_G: -0.010449 Loss_D_real: -0.006281 Loss_D_fake 0.036007
[143/5000][440/535][14474] Loss_D: -0.039064 Loss_G: 0.018567 Loss_D_real: -0.025438 Loss_D_fake 0.013626
[143/5000][445/535][14475] Loss_D: -0.040215 Loss_G: 0.013811 Loss_D_real: -0.015877 Loss_D_fake 0.024338
[143/5000][450/535][14476] Loss_D: -0.038316 Loss_G: 0.040504 Loss_D_real: -0.036528 Loss_D_fake 0.001787
[143/5000][455/535][14477] Loss_D: -0.039826 Loss_G: 0.007346 Loss_D_real: -0.009261 Loss_D_fake 0.030566
[143/5000][460/535][14478] Loss_D: -0.042196 Loss_G: 0.019947 Loss_D_real: -0.028240 Loss_D_fake 0.013955
[143/5000][465/535][14479] Loss_D: -0.043000 Loss_G: 0.011546 Loss_D_real: -0.018608 Loss_D_fake 0.024392
[143/5000][470/535][14480] Loss_D: -0.043214 Loss_G: 0.031153 Loss_D_real: -0.038284 Loss_D_fake 0.004930
[143/5000][475/535][14481] Loss_D: -0.041706 Loss_G: 0.036866 Loss_D_real: -0.035351 Loss_D_fake 0.006355
[143/5000][480/535][14482] Loss_D: -0.041613 Loss_G: 0.012766 Loss_D_real: -0.017592 Loss_D_fake 0.024021
[143/5000][485/535][14483] Loss_D: -0.041173 Loss_G: 0.041342 Loss_D_real: -0.041169 Loss_D_fake 0.000004
[143/5000][490/535][14484] Loss_D: -0.042926 Loss_G: 0.011417 Loss_D_real: -0.014039 Loss_D_fake 0.028888
[143/5000][495/535][14485] Loss_D: -0.038044 Loss_G: 0.052169 Loss_D_real: -0.042663 Loss_D_fake -0.004619
[143/5000][500/535][14486] Loss_D: -0.040022 Loss_G: 0.007766 Loss_D_real: -0.015573 Loss_D_fake 0.024450
[143/5000][505/535][14487] Loss_D: -0.042749 Loss_G: 0.026657 Loss_D_real: -0.031459 Loss_D_fake 0.011290
[143/5000][510/535][14488] Loss_D: -0.041332 Loss_G: -0.003010 Loss_D_real: -0.005131 Loss_D_fake 0.036200
[143/5000][515/535][14489] Loss_D: -0.039235 Loss_G: 0.032277 Loss_D_real: -0.033450 Loss_D_fake 0.005785
[143/5000][520/535][14490] Loss_D: -0.038824 Loss_G: -0.006821 Loss_D_real: 0.001789 Loss_D_fake 0.040613
[143/5000][525/535][14491] Loss_D: -0.040014 Loss_G: 0.027207 Loss_D_real: -0.033012 Loss_D_fake 0.007002
[143/5000][530/535][14492] Loss_D: -0.038240 Loss_G: 0.001850 Loss_D_real: -0.009026 Loss_D_fake 0.029214
[143/5000][535/535][14493] Loss_D: -0.038623 Loss_G: 0.024380 Loss_D_real: -0.035778 Loss_D_fake 0.002844
[144/5000][5/535][14494] Loss_D: -0.041884 Loss_G: 0.020522 Loss_D_real: -0.026613 Loss_D_fake 0.015271
[144/5000][10/535][14495] Loss_D: -0.040453 Loss_G: 0.047888 Loss_D_real: -0.040721 Loss_D_fake -0.000268
[144/5000][15/535][14496] Loss_D: -0.041989 Loss_G: 0.003103 Loss_D_real: -0.011040 Loss_D_fake 0.030948
[144/5000][20/535][14497] Loss_D: -0.041794 Loss_G: 0.030384 Loss_D_real: -0.035799 Loss_D_fake 0.005995
[144/5000][25/535][14498] Loss_D: -0.042451 Loss_G: 0.008688 Loss_D_real: -0.017682 Loss_D_fake 0.024769
[144/5000][30/535][14499] Loss_D: -0.039833 Loss_G: 0.028320 Loss_D_real: -0.041234 Loss_D_fake -0.001401
[144/5000][35/535][14500] Loss_D: -0.043458 Loss_G: 0.000899 Loss_D_real: -0.015061 Loss_D_fake 0.028397
[144/5000][135/535][14501] Loss_D: -0.042334 Loss_G: 0.042565 Loss_D_real: -0.042187 Loss_D_fake 0.000147
[144/5000][140/535][14502] Loss_D: -0.042376 Loss_G: 0.019304 Loss_D_real: -0.026637 Loss_D_fake 0.015739
[144/5000][145/535][14503] Loss_D: -0.040527 Loss_G: 0.029155 Loss_D_real: -0.036197 Loss_D_fake 0.004330
[144/5000][150/535][14504] Loss_D: -0.039903 Loss_G: 0.046909 Loss_D_real: -0.046621 Loss_D_fake -0.006718
[144/5000][155/535][14505] Loss_D: -0.039185 Loss_G: 0.017914 Loss_D_real: -0.023326 Loss_D_fake 0.015860
[144/5000][160/535][14506] Loss_D: -0.040867 Loss_G: 0.013927 Loss_D_real: -0.021443 Loss_D_fake 0.019424
[144/5000][165/535][14507] Loss_D: -0.039538 Loss_G: 0.010868 Loss_D_real: -0.022900 Loss_D_fake 0.016638
[144/5000][170/535][14508] Loss_D: -0.039917 Loss_G: 0.025043 Loss_D_real: -0.026270 Loss_D_fake 0.013647
[144/5000][175/535][14509] Loss_D: -0.040341 Loss_G: 0.031044 Loss_D_real: -0.029710 Loss_D_fake 0.010630
[144/5000][180/535][14510] Loss_D: -0.040472 Loss_G: 0.023323 Loss_D_real: -0.026071 Loss_D_fake 0.014401
[144/5000][185/535][14511] Loss_D: -0.040976 Loss_G: 0.031827 Loss_D_real: -0.039149 Loss_D_fake 0.001828
[144/5000][190/535][14512] Loss_D: -0.038797 Loss_G: 0.039031 Loss_D_real: -0.034998 Loss_D_fake 0.003799
[144/5000][195/535][14513] Loss_D: -0.039803 Loss_G: 0.031824 Loss_D_real: -0.032671 Loss_D_fake 0.007132
[144/5000][200/535][14514] Loss_D: -0.042766 Loss_G: 0.007126 Loss_D_real: -0.020884 Loss_D_fake 0.021882
[144/5000][205/535][14515] Loss_D: -0.039274 Loss_G: 0.043213 Loss_D_real: -0.038765 Loss_D_fake 0.000509
[144/5000][210/535][14516] Loss_D: -0.037057 Loss_G: -0.016043 Loss_D_real: 0.007953 Loss_D_fake 0.045010
[144/5000][215/535][14517] Loss_D: -0.038379 Loss_G: 0.040895 Loss_D_real: -0.042335 Loss_D_fake -0.003956
[144/5000][220/535][14518] Loss_D: -0.039728 Loss_G: 0.008278 Loss_D_real: -0.009580 Loss_D_fake 0.030148
[144/5000][225/535][14519] Loss_D: -0.039120 Loss_G: 0.026878 Loss_D_real: -0.031563 Loss_D_fake 0.007556
[144/5000][230/535][14520] Loss_D: -0.036682 Loss_G: -0.000290 Loss_D_real: -0.001424 Loss_D_fake 0.035258
[144/5000][235/535][14521] Loss_D: -0.040467 Loss_G: 0.015004 Loss_D_real: -0.024584 Loss_D_fake 0.015883
[144/5000][240/535][14522] Loss_D: -0.039984 Loss_G: 0.017659 Loss_D_real: -0.024424 Loss_D_fake 0.015560
[144/5000][245/535][14523] Loss_D: -0.041619 Loss_G: 0.030583 Loss_D_real: -0.029477 Loss_D_fake 0.012142
[144/5000][250/535][14524] Loss_D: -0.042835 Loss_G: 0.005682 Loss_D_real: -0.009323 Loss_D_fake 0.033513
[144/5000][255/535][14525] Loss_D: -0.039587 Loss_G: 0.038656 Loss_D_real: -0.037403 Loss_D_fake 0.002184
[144/5000][260/535][14526] Loss_D: -0.039685 Loss_G: -0.016350 Loss_D_real: 0.000890 Loss_D_fake 0.040574
[144/5000][265/535][14527] Loss_D: -0.041196 Loss_G: 0.032468 Loss_D_real: -0.032528 Loss_D_fake 0.008669
[144/5000][270/535][14528] Loss_D: -0.042807 Loss_G: 0.033896 Loss_D_real: -0.027043 Loss_D_fake 0.015763
[144/5000][275/535][14529] Loss_D: -0.040852 Loss_G: 0.022323 Loss_D_real: -0.025495 Loss_D_fake 0.015357
[144/5000][280/535][14530] Loss_D: -0.038802 Loss_G: 0.046146 Loss_D_real: -0.041025 Loss_D_fake -0.002223
[144/5000][285/535][14531] Loss_D: -0.040775 Loss_G: -0.000136 Loss_D_real: -0.016485 Loss_D_fake 0.024290
[144/5000][290/535][14532] Loss_D: -0.039669 Loss_G: 0.030904 Loss_D_real: -0.040976 Loss_D_fake -0.001307
[144/5000][295/535][14533] Loss_D: -0.039705 Loss_G: 0.039774 Loss_D_real: -0.039022 Loss_D_fake 0.000683
[144/5000][300/535][14534] Loss_D: -0.041814 Loss_G: 0.028924 Loss_D_real: -0.028816 Loss_D_fake 0.012998
[144/5000][305/535][14535] Loss_D: -0.041972 Loss_G: 0.018286 Loss_D_real: -0.024767 Loss_D_fake 0.017205
[144/5000][310/535][14536] Loss_D: -0.040762 Loss_G: 0.018603 Loss_D_real: -0.025598 Loss_D_fake 0.015164
[144/5000][315/535][14537] Loss_D: -0.041957 Loss_G: 0.010128 Loss_D_real: -0.016354 Loss_D_fake 0.025604
[144/5000][320/535][14538] Loss_D: -0.042471 Loss_G: 0.030233 Loss_D_real: -0.031665 Loss_D_fake 0.010805
[144/5000][325/535][14539] Loss_D: -0.041212 Loss_G: 0.034622 Loss_D_real: -0.045885 Loss_D_fake -0.004672
[144/5000][330/535][14540] Loss_D: -0.044171 Loss_G: -0.008968 Loss_D_real: -0.009895 Loss_D_fake 0.034276
[144/5000][335/535][14541] Loss_D: -0.038751 Loss_G: 0.036975 Loss_D_real: -0.039915 Loss_D_fake -0.001163
[144/5000][340/535][14542] Loss_D: -0.041857 Loss_G: 0.024061 Loss_D_real: -0.016788 Loss_D_fake 0.025069
[144/5000][345/535][14543] Loss_D: -0.042433 Loss_G: 0.016009 Loss_D_real: -0.022985 Loss_D_fake 0.019448
[144/5000][350/535][14544] Loss_D: -0.044111 Loss_G: 0.016771 Loss_D_real: -0.019984 Loss_D_fake 0.024127
[144/5000][355/535][14545] Loss_D: -0.041544 Loss_G: 0.053571 Loss_D_real: -0.048169 Loss_D_fake -0.006625
[144/5000][360/535][14546] Loss_D: -0.040321 Loss_G: -0.017482 Loss_D_real: 0.000038 Loss_D_fake 0.040359
[144/5000][365/535][14547] Loss_D: -0.038427 Loss_G: 0.032952 Loss_D_real: -0.035075 Loss_D_fake 0.003352
[144/5000][370/535][14548] Loss_D: -0.042450 Loss_G: 0.009803 Loss_D_real: -0.015623 Loss_D_fake 0.026826
[144/5000][375/535][14549] Loss_D: -0.041592 Loss_G: 0.032457 Loss_D_real: -0.029505 Loss_D_fake 0.012087
[144/5000][380/535][14550] Loss_D: -0.042937 Loss_G: 0.041417 Loss_D_real: -0.044236 Loss_D_fake -0.001300
[144/5000][385/535][14551] Loss_D: -0.042154 Loss_G: -0.004812 Loss_D_real: -0.006241 Loss_D_fake 0.035912
[144/5000][390/535][14552] Loss_D: -0.039875 Loss_G: 0.037916 Loss_D_real: -0.039423 Loss_D_fake 0.000452
[144/5000][395/535][14553] Loss_D: -0.042384 Loss_G: -0.001945 Loss_D_real: -0.018566 Loss_D_fake 0.023818
[144/5000][400/535][14554] Loss_D: -0.039640 Loss_G: 0.037969 Loss_D_real: -0.040235 Loss_D_fake -0.000596
[144/5000][405/535][14555] Loss_D: -0.042576 Loss_G: -0.002780 Loss_D_real: -0.006604 Loss_D_fake 0.035972
[144/5000][410/535][14556] Loss_D: -0.040428 Loss_G: 0.017153 Loss_D_real: -0.030181 Loss_D_fake 0.010248
[144/5000][415/535][14557] Loss_D: -0.040812 Loss_G: 0.025607 Loss_D_real: -0.030876 Loss_D_fake 0.009936
[144/5000][420/535][14558] Loss_D: -0.038798 Loss_G: -0.008202 Loss_D_real: -0.001796 Loss_D_fake 0.037003
[144/5000][425/535][14559] Loss_D: -0.039369 Loss_G: 0.030230 Loss_D_real: -0.028006 Loss_D_fake 0.011363
[144/5000][430/535][14560] Loss_D: -0.039018 Loss_G: 0.009031 Loss_D_real: -0.011704 Loss_D_fake 0.027314
[144/5000][435/535][14561] Loss_D: -0.040412 Loss_G: 0.007899 Loss_D_real: -0.020179 Loss_D_fake 0.020233
[144/5000][440/535][14562] Loss_D: -0.042042 Loss_G: 0.018225 Loss_D_real: -0.023464 Loss_D_fake 0.018578
[144/5000][445/535][14563] Loss_D: -0.042123 Loss_G: 0.034067 Loss_D_real: -0.037338 Loss_D_fake 0.004785
[144/5000][450/535][14564] Loss_D: -0.038988 Loss_G: 0.003721 Loss_D_real: -0.009191 Loss_D_fake 0.029797
[144/5000][455/535][14565] Loss_D: -0.042052 Loss_G: 0.037256 Loss_D_real: -0.038661 Loss_D_fake 0.003391
[144/5000][460/535][14566] Loss_D: -0.041108 Loss_G: 0.012531 Loss_D_real: -0.018501 Loss_D_fake 0.022607
[144/5000][465/535][14567] Loss_D: -0.041742 Loss_G: 0.047056 Loss_D_real: -0.034681 Loss_D_fake 0.007062
[144/5000][470/535][14568] Loss_D: -0.042021 Loss_G: 0.003155 Loss_D_real: -0.012245 Loss_D_fake 0.029776
[144/5000][475/535][14569] Loss_D: -0.039818 Loss_G: 0.029419 Loss_D_real: -0.029045 Loss_D_fake 0.010773
[144/5000][480/535][14570] Loss_D: -0.041952 Loss_G: 0.005168 Loss_D_real: -0.015099 Loss_D_fake 0.026853
[144/5000][485/535][14571] Loss_D: -0.040752 Loss_G: 0.025843 Loss_D_real: -0.030139 Loss_D_fake 0.010613
[144/5000][490/535][14572] Loss_D: -0.042675 Loss_G: 0.049572 Loss_D_real: -0.047632 Loss_D_fake -0.004958
[144/5000][495/535][14573] Loss_D: -0.041142 Loss_G: 0.010454 Loss_D_real: -0.007407 Loss_D_fake 0.033735
[144/5000][500/535][14574] Loss_D: -0.041237 Loss_G: 0.040566 Loss_D_real: -0.042847 Loss_D_fake -0.001609
[144/5000][505/535][14575] Loss_D: -0.041703 Loss_G: 0.036581 Loss_D_real: -0.034115 Loss_D_fake 0.007588
[144/5000][510/535][14576] Loss_D: -0.043439 Loss_G: 0.035255 Loss_D_real: -0.030607 Loss_D_fake 0.012832
[144/5000][515/535][14577] Loss_D: -0.040953 Loss_G: 0.015092 Loss_D_real: -0.020056 Loss_D_fake 0.020897
[144/5000][520/535][14578] Loss_D: -0.042447 Loss_G: 0.041205 Loss_D_real: -0.034061 Loss_D_fake 0.008386
[144/5000][525/535][14579] Loss_D: -0.041584 Loss_G: 0.012541 Loss_D_real: -0.017378 Loss_D_fake 0.024206
[144/5000][530/535][14580] Loss_D: -0.040459 Loss_G: 0.033271 Loss_D_real: -0.033775 Loss_D_fake 0.006684
[144/5000][535/535][14581] Loss_D: -0.043269 Loss_G: 0.024751 Loss_D_real: -0.018799 Loss_D_fake 0.024470
[145/5000][5/535][14582] Loss_D: -0.043465 Loss_G: 0.017768 Loss_D_real: -0.025268 Loss_D_fake 0.018197
[145/5000][10/535][14583] Loss_D: -0.038001 Loss_G: 0.048341 Loss_D_real: -0.052523 Loss_D_fake -0.014522
[145/5000][15/535][14584] Loss_D: -0.042542 Loss_G: 0.007974 Loss_D_real: -0.020195 Loss_D_fake 0.022347
[145/5000][20/535][14585] Loss_D: -0.041290 Loss_G: 0.007527 Loss_D_real: -0.017383 Loss_D_fake 0.023907
[145/5000][25/535][14586] Loss_D: -0.037533 Loss_G: -0.007147 Loss_D_real: -0.004577 Loss_D_fake 0.032957
[145/5000][30/535][14587] Loss_D: -0.039287 Loss_G: 0.036081 Loss_D_real: -0.030846 Loss_D_fake 0.008442
[145/5000][35/535][14588] Loss_D: -0.038364 Loss_G: -0.001851 Loss_D_real: -0.004227 Loss_D_fake 0.034138
[145/5000][40/535][14589] Loss_D: -0.041220 Loss_G: 0.018145 Loss_D_real: -0.023591 Loss_D_fake 0.017629
[145/5000][45/535][14590] Loss_D: -0.040218 Loss_G: 0.012908 Loss_D_real: -0.022651 Loss_D_fake 0.017567
[145/5000][50/535][14591] Loss_D: -0.042559 Loss_G: 0.033647 Loss_D_real: -0.028847 Loss_D_fake 0.013711
[145/5000][55/535][14592] Loss_D: -0.041117 Loss_G: 0.011744 Loss_D_real: -0.020837 Loss_D_fake 0.020280
[145/5000][60/535][14593] Loss_D: -0.040914 Loss_G: 0.018694 Loss_D_real: -0.021321 Loss_D_fake 0.019593
[145/5000][65/535][14594] Loss_D: -0.039841 Loss_G: 0.017629 Loss_D_real: -0.023828 Loss_D_fake 0.016013
[145/5000][70/535][14595] Loss_D: -0.040592 Loss_G: 0.007454 Loss_D_real: -0.013283 Loss_D_fake 0.027308
[145/5000][75/535][14596] Loss_D: -0.039362 Loss_G: 0.015941 Loss_D_real: -0.016567 Loss_D_fake 0.022796
[145/5000][80/535][14597] Loss_D: -0.039573 Loss_G: 0.020622 Loss_D_real: -0.018552 Loss_D_fake 0.021020
[145/5000][85/535][14598] Loss_D: -0.038389 Loss_G: 0.026885 Loss_D_real: -0.027270 Loss_D_fake 0.011119
[145/5000][90/535][14599] Loss_D: -0.040373 Loss_G: 0.039503 Loss_D_real: -0.030892 Loss_D_fake 0.009480
[145/5000][95/535][14600] Loss_D: -0.040128 Loss_G: 0.004195 Loss_D_real: -0.017651 Loss_D_fake 0.022478
[145/5000][100/535][14601] Loss_D: -0.040172 Loss_G: 0.038675 Loss_D_real: -0.037466 Loss_D_fake 0.002706
[145/5000][105/535][14602] Loss_D: -0.039656 Loss_G: 0.001322 Loss_D_real: -0.004525 Loss_D_fake 0.035132
[145/5000][110/535][14603] Loss_D: -0.040297 Loss_G: 0.047576 Loss_D_real: -0.043969 Loss_D_fake -0.003672
[145/5000][115/535][14604] Loss_D: -0.040711 Loss_G: 0.042781 Loss_D_real: -0.035218 Loss_D_fake 0.005493
[145/5000][120/535][14605] Loss_D: -0.040845 Loss_G: -0.006047 Loss_D_real: -0.008482 Loss_D_fake 0.032363
[145/5000][125/535][14606] Loss_D: -0.041421 Loss_G: 0.032823 Loss_D_real: -0.030139 Loss_D_fake 0.011282
[145/5000][130/535][14607] Loss_D: -0.043826 Loss_G: 0.038090 Loss_D_real: -0.025833 Loss_D_fake 0.017992
[145/5000][135/535][14608] Loss_D: -0.041406 Loss_G: 0.032684 Loss_D_real: -0.029852 Loss_D_fake 0.011554
[145/5000][140/535][14609] Loss_D: -0.041202 Loss_G: 0.046866 Loss_D_real: -0.038717 Loss_D_fake 0.002485
[145/5000][145/535][14610] Loss_D: -0.040277 Loss_G: -0.016108 Loss_D_real: 0.000078 Loss_D_fake 0.040356
[145/5000][150/535][14611] Loss_D: -0.039535 Loss_G: 0.042265 Loss_D_real: -0.035556 Loss_D_fake 0.003980
[145/5000][155/535][14612] Loss_D: -0.042080 Loss_G: -0.000781 Loss_D_real: -0.005761 Loss_D_fake 0.036320
[145/5000][160/535][14613] Loss_D: -0.038703 Loss_G: 0.033866 Loss_D_real: -0.026379 Loss_D_fake 0.012324
[145/5000][165/535][14614] Loss_D: -0.040740 Loss_G: -0.004718 Loss_D_real: -0.000989 Loss_D_fake 0.039751
[145/5000][170/535][14615] Loss_D: -0.039881 Loss_G: 0.038224 Loss_D_real: -0.034319 Loss_D_fake 0.005562
[145/5000][175/535][14616] Loss_D: -0.043785 Loss_G: 0.030474 Loss_D_real: -0.026012 Loss_D_fake 0.017772
[145/5000][180/535][14617] Loss_D: -0.042989 Loss_G: 0.033801 Loss_D_real: -0.031581 Loss_D_fake 0.011409
[145/5000][185/535][14618] Loss_D: -0.041920 Loss_G: 0.016119 Loss_D_real: -0.019518 Loss_D_fake 0.022402
[145/5000][190/535][14619] Loss_D: -0.043001 Loss_G: 0.022433 Loss_D_real: -0.027915 Loss_D_fake 0.015086
[145/5000][195/535][14620] Loss_D: -0.041527 Loss_G: -0.002009 Loss_D_real: -0.015435 Loss_D_fake 0.026092
[145/5000][200/535][14621] Loss_D: -0.040953 Loss_G: 0.034600 Loss_D_real: -0.037004 Loss_D_fake 0.003949
[145/5000][205/535][14622] Loss_D: -0.041220 Loss_G: 0.023510 Loss_D_real: -0.022543 Loss_D_fake 0.018677
[145/5000][210/535][14623] Loss_D: -0.042696 Loss_G: 0.008405 Loss_D_real: -0.016877 Loss_D_fake 0.025819
[145/5000][215/535][14624] Loss_D: -0.039129 Loss_G: 0.050401 Loss_D_real: -0.048732 Loss_D_fake -0.009603
[145/5000][220/535][14625] Loss_D: -0.042088 Loss_G: 0.000445 Loss_D_real: -0.012803 Loss_D_fake 0.029285
[145/5000][225/535][14626] Loss_D: -0.039344 Loss_G: 0.037422 Loss_D_real: -0.048058 Loss_D_fake -0.008715
[145/5000][230/535][14627] Loss_D: -0.043125 Loss_G: 0.022352 Loss_D_real: -0.028853 Loss_D_fake 0.014273
[145/5000][235/535][14628] Loss_D: -0.040193 Loss_G: 0.014444 Loss_D_real: -0.024178 Loss_D_fake 0.016015
[145/5000][240/535][14629] Loss_D: -0.040857 Loss_G: 0.032055 Loss_D_real: -0.031870 Loss_D_fake 0.008987
[145/5000][245/535][14630] Loss_D: -0.039348 Loss_G: -0.011284 Loss_D_real: -0.003520 Loss_D_fake 0.035828
[145/5000][250/535][14631] Loss_D: -0.041839 Loss_G: 0.015498 Loss_D_real: -0.025043 Loss_D_fake 0.016796
[145/5000][255/535][14632] Loss_D: -0.039227 Loss_G: 0.033431 Loss_D_real: -0.042360 Loss_D_fake -0.003134
[145/5000][260/535][14633] Loss_D: -0.041233 Loss_G: -0.005266 Loss_D_real: -0.006377 Loss_D_fake 0.034857
[145/5000][265/535][14634] Loss_D: -0.040538 Loss_G: 0.016628 Loss_D_real: -0.015965 Loss_D_fake 0.024573
[145/5000][270/535][14635] Loss_D: -0.038831 Loss_G: 0.005288 Loss_D_real: -0.009824 Loss_D_fake 0.029007
[145/5000][275/535][14636] Loss_D: -0.040692 Loss_G: 0.022282 Loss_D_real: -0.021547 Loss_D_fake 0.019144
[145/5000][280/535][14637] Loss_D: -0.040965 Loss_G: 0.015697 Loss_D_real: -0.020108 Loss_D_fake 0.020857
[145/5000][285/535][14638] Loss_D: -0.041646 Loss_G: 0.032641 Loss_D_real: -0.033360 Loss_D_fake 0.008286
[145/5000][290/535][14639] Loss_D: -0.041032 Loss_G: -0.000462 Loss_D_real: -0.009893 Loss_D_fake 0.031139
[145/5000][295/535][14640] Loss_D: -0.038850 Loss_G: 0.027448 Loss_D_real: -0.028134 Loss_D_fake 0.010716
[145/5000][300/535][14641] Loss_D: -0.041401 Loss_G: 0.022378 Loss_D_real: -0.028234 Loss_D_fake 0.013167
[145/5000][305/535][14642] Loss_D: -0.042405 Loss_G: 0.005413 Loss_D_real: -0.009614 Loss_D_fake 0.032791
[145/5000][310/535][14643] Loss_D: -0.040081 Loss_G: 0.051692 Loss_D_real: -0.041560 Loss_D_fake -0.001480
[145/5000][315/535][14644] Loss_D: -0.041613 Loss_G: -0.011988 Loss_D_real: -0.004918 Loss_D_fake 0.036694
[145/5000][320/535][14645] Loss_D: -0.037884 Loss_G: 0.034900 Loss_D_real: -0.036216 Loss_D_fake 0.001668
[145/5000][325/535][14646] Loss_D: -0.039971 Loss_G: 0.009935 Loss_D_real: -0.013874 Loss_D_fake 0.026097
[145/5000][330/535][14647] Loss_D: -0.039311 Loss_G: 0.048291 Loss_D_real: -0.046398 Loss_D_fake -0.007088
[145/5000][335/535][14648] Loss_D: -0.041508 Loss_G: 0.032373 Loss_D_real: -0.026167 Loss_D_fake 0.015342
[145/5000][340/535][14649] Loss_D: -0.041446 Loss_G: 0.025068 Loss_D_real: -0.031947 Loss_D_fake 0.009499
[145/5000][345/535][14650] Loss_D: -0.040657 Loss_G: 0.002818 Loss_D_real: -0.008448 Loss_D_fake 0.032209
[145/5000][350/535][14651] Loss_D: -0.039789 Loss_G: 0.028767 Loss_D_real: -0.026227 Loss_D_fake 0.013562
[145/5000][355/535][14652] Loss_D: -0.041130 Loss_G: 0.004115 Loss_D_real: -0.010772 Loss_D_fake 0.030358
[145/5000][360/535][14653] Loss_D: -0.038719 Loss_G: 0.022034 Loss_D_real: -0.021472 Loss_D_fake 0.017248
[145/5000][365/535][14654] Loss_D: -0.040524 Loss_G: 0.024982 Loss_D_real: -0.033775 Loss_D_fake 0.006749
[145/5000][370/535][14655] Loss_D: -0.041396 Loss_G: 0.002857 Loss_D_real: -0.012485 Loss_D_fake 0.028911
[145/5000][375/535][14656] Loss_D: -0.039952 Loss_G: 0.019918 Loss_D_real: -0.026156 Loss_D_fake 0.013796
[145/5000][380/535][14657] Loss_D: -0.042203 Loss_G: 0.036405 Loss_D_real: -0.030083 Loss_D_fake 0.012120
[145/5000][385/535][14658] Loss_D: -0.042177 Loss_G: 0.014534 Loss_D_real: -0.019663 Loss_D_fake 0.022514
[145/5000][390/535][14659] Loss_D: -0.039728 Loss_G: 0.046082 Loss_D_real: -0.041908 Loss_D_fake -0.002180
[145/5000][395/535][14660] Loss_D: -0.041757 Loss_G: -0.005150 Loss_D_real: -0.011323 Loss_D_fake 0.030434
[145/5000][400/535][14661] Loss_D: -0.038894 Loss_G: 0.022672 Loss_D_real: -0.027732 Loss_D_fake 0.011162
[145/5000][405/535][14662] Loss_D: -0.039952 Loss_G: 0.012427 Loss_D_real: -0.008122 Loss_D_fake 0.031830
[145/5000][410/535][14663] Loss_D: -0.038799 Loss_G: 0.030370 Loss_D_real: -0.035159 Loss_D_fake 0.003640
[145/5000][415/535][14664] Loss_D: -0.039873 Loss_G: 0.004478 Loss_D_real: -0.015377 Loss_D_fake 0.024496
[145/5000][420/535][14665] Loss_D: -0.038745 Loss_G: 0.040142 Loss_D_real: -0.038376 Loss_D_fake 0.000369
[145/5000][425/535][14666] Loss_D: -0.039205 Loss_G: 0.035044 Loss_D_real: -0.029905 Loss_D_fake 0.009300
[145/5000][430/535][14667] Loss_D: -0.041326 Loss_G: 0.007981 Loss_D_real: -0.009642 Loss_D_fake 0.031684
[145/5000][435/535][14668] Loss_D: -0.040320 Loss_G: 0.049275 Loss_D_real: -0.040923 Loss_D_fake -0.000603
[145/5000][440/535][14669] Loss_D: -0.041461 Loss_G: 0.007417 Loss_D_real: -0.014396 Loss_D_fake 0.027065
[145/5000][445/535][14670] Loss_D: -0.040676 Loss_G: 0.032229 Loss_D_real: -0.028454 Loss_D_fake 0.012221
[145/5000][450/535][14671] Loss_D: -0.040896 Loss_G: -0.023943 Loss_D_real: 0.004787 Loss_D_fake 0.045683
[145/5000][455/535][14672] Loss_D: -0.038608 Loss_G: 0.036546 Loss_D_real: -0.029028 Loss_D_fake 0.009580
[145/5000][460/535][14673] Loss_D: -0.038652 Loss_G: 0.001557 Loss_D_real: -0.012056 Loss_D_fake 0.026596
[145/5000][465/535][14674] Loss_D: -0.040269 Loss_G: 0.028818 Loss_D_real: -0.027073 Loss_D_fake 0.013196
[145/5000][470/535][14675] Loss_D: -0.043549 Loss_G: 0.020437 Loss_D_real: -0.020449 Loss_D_fake 0.023100
[145/5000][475/535][14676] Loss_D: -0.043164 Loss_G: 0.007271 Loss_D_real: -0.023791 Loss_D_fake 0.019373
[145/5000][480/535][14677] Loss_D: -0.043304 Loss_G: 0.020558 Loss_D_real: -0.028532 Loss_D_fake 0.014772
[145/5000][485/535][14678] Loss_D: -0.044629 Loss_G: 0.015139 Loss_D_real: -0.022193 Loss_D_fake 0.022435
[145/5000][490/535][14679] Loss_D: -0.041989 Loss_G: 0.052680 Loss_D_real: -0.040134 Loss_D_fake 0.001855
[145/5000][495/535][14680] Loss_D: -0.040740 Loss_G: -0.005980 Loss_D_real: -0.000922 Loss_D_fake 0.039818
[145/5000][500/535][14681] Loss_D: -0.037913 Loss_G: 0.042441 Loss_D_real: -0.041971 Loss_D_fake -0.004058
[145/5000][505/535][14682] Loss_D: -0.040782 Loss_G: -0.002966 Loss_D_real: -0.006994 Loss_D_fake 0.033788
[145/5000][510/535][14683] Loss_D: -0.039094 Loss_G: 0.036089 Loss_D_real: -0.034563 Loss_D_fake 0.004531
[145/5000][515/535][14684] Loss_D: -0.042130 Loss_G: -0.001800 Loss_D_real: -0.011708 Loss_D_fake 0.030422
[145/5000][520/535][14685] Loss_D: -0.039059 Loss_G: 0.018684 Loss_D_real: -0.034909 Loss_D_fake 0.004150
[145/5000][525/535][14686] Loss_D: -0.041552 Loss_G: 0.042912 Loss_D_real: -0.045951 Loss_D_fake -0.004400
[145/5000][530/535][14687] Loss_D: -0.039482 Loss_G: 0.011777 Loss_D_real: -0.012247 Loss_D_fake 0.027234
[145/5000][535/535][14688] Loss_D: -0.040438 Loss_G: 0.023449 Loss_D_real: -0.014430 Loss_D_fake 0.026008
[146/5000][5/535][14689] Loss_D: -0.041536 Loss_G: 0.004932 Loss_D_real: -0.006173 Loss_D_fake 0.035363
[146/5000][10/535][14690] Loss_D: -0.040989 Loss_G: 0.022680 Loss_D_real: -0.029093 Loss_D_fake 0.011896
[146/5000][15/535][14691] Loss_D: -0.038758 Loss_G: 0.005813 Loss_D_real: -0.010080 Loss_D_fake 0.028678
[146/5000][20/535][14692] Loss_D: -0.037673 Loss_G: 0.040421 Loss_D_real: -0.023787 Loss_D_fake 0.013886
[146/5000][25/535][14693] Loss_D: -0.038474 Loss_G: 0.010151 Loss_D_real: -0.013561 Loss_D_fake 0.024914
[146/5000][30/535][14694] Loss_D: -0.039911 Loss_G: 0.041644 Loss_D_real: -0.036397 Loss_D_fake 0.003514
[146/5000][35/535][14695] Loss_D: -0.041701 Loss_G: 0.001631 Loss_D_real: -0.010675 Loss_D_fake 0.031026
[146/5000][40/535][14696] Loss_D: -0.041809 Loss_G: 0.013544 Loss_D_real: -0.022636 Loss_D_fake 0.019173
[146/5000][45/535][14697] Loss_D: -0.040468 Loss_G: 0.049571 Loss_D_real: -0.043456 Loss_D_fake -0.002989
[146/5000][50/535][14698] Loss_D: -0.041255 Loss_G: -0.008340 Loss_D_real: -0.000711 Loss_D_fake 0.040544
[146/5000][55/535][14699] Loss_D: -0.039731 Loss_G: 0.024098 Loss_D_real: -0.032476 Loss_D_fake 0.007255
[146/5000][60/535][14700] Loss_D: -0.042053 Loss_G: 0.012871 Loss_D_real: -0.026267 Loss_D_fake 0.015787
[146/5000][65/535][14701] Loss_D: -0.042446 Loss_G: 0.018105 Loss_D_real: -0.019312 Loss_D_fake 0.023133
[146/5000][70/535][14702] Loss_D: -0.043807 Loss_G: 0.018652 Loss_D_real: -0.030065 Loss_D_fake 0.013742
[146/5000][75/535][14703] Loss_D: -0.041547 Loss_G: 0.034974 Loss_D_real: -0.033319 Loss_D_fake 0.008228
[146/5000][80/535][14704] Loss_D: -0.039864 Loss_G: 0.056228 Loss_D_real: -0.051799 Loss_D_fake -0.011935
[146/5000][85/535][14705] Loss_D: -0.040617 Loss_G: -0.007297 Loss_D_real: -0.006303 Loss_D_fake 0.034314
[146/5000][90/535][14706] Loss_D: -0.038404 Loss_G: 0.028703 Loss_D_real: -0.035828 Loss_D_fake 0.002576
[146/5000][95/535][14707] Loss_D: -0.042265 Loss_G: 0.010701 Loss_D_real: -0.011471 Loss_D_fake 0.030794
[146/5000][100/535][14708] Loss_D: -0.042685 Loss_G: 0.020741 Loss_D_real: -0.024669 Loss_D_fake 0.018016
[146/5000][105/535][14709] Loss_D: -0.042899 Loss_G: 0.024106 Loss_D_real: -0.022827 Loss_D_fake 0.020072
[146/5000][110/535][14710] Loss_D: -0.042035 Loss_G: 0.018230 Loss_D_real: -0.021323 Loss_D_fake 0.020712
[146/5000][115/535][14711] Loss_D: -0.040540 Loss_G: 0.047093 Loss_D_real: -0.045275 Loss_D_fake -0.004735
[146/5000][120/535][14712] Loss_D: -0.040627 Loss_G: -0.004363 Loss_D_real: -0.007920 Loss_D_fake 0.032707
[146/5000][125/535][14713] Loss_D: -0.040461 Loss_G: 0.040385 Loss_D_real: -0.047406 Loss_D_fake -0.006946
[146/5000][130/535][14714] Loss_D: -0.043630 Loss_G: 0.014481 Loss_D_real: -0.021934 Loss_D_fake 0.021696
[146/5000][135/535][14715] Loss_D: -0.040614 Loss_G: 0.031400 Loss_D_real: -0.032878 Loss_D_fake 0.007737
[146/5000][140/535][14716] Loss_D: -0.039455 Loss_G: -0.003449 Loss_D_real: -0.005047 Loss_D_fake 0.034407
[146/5000][145/535][14717] Loss_D: -0.040738 Loss_G: 0.031627 Loss_D_real: -0.030052 Loss_D_fake 0.010686
[146/5000][150/535][14718] Loss_D: -0.041607 Loss_G: 0.037517 Loss_D_real: -0.034551 Loss_D_fake 0.007056
[146/5000][155/535][14719] Loss_D: -0.043841 Loss_G: 0.027380 Loss_D_real: -0.023594 Loss_D_fake 0.020246
[146/5000][160/535][14720] Loss_D: -0.041387 Loss_G: 0.038865 Loss_D_real: -0.033569 Loss_D_fake 0.007818
[146/5000][165/535][14721] Loss_D: -0.043427 Loss_G: 0.008977 Loss_D_real: -0.009357 Loss_D_fake 0.034070
[146/5000][170/535][14722] Loss_D: -0.041738 Loss_G: 0.023595 Loss_D_real: -0.027012 Loss_D_fake 0.014726
[146/5000][175/535][14723] Loss_D: -0.042036 Loss_G: 0.044048 Loss_D_real: -0.040114 Loss_D_fake 0.001922
[146/5000][180/535][14724] Loss_D: -0.040720 Loss_G: -0.012698 Loss_D_real: 0.002460 Loss_D_fake 0.043181
[146/5000][185/535][14725] Loss_D: -0.039468 Loss_G: 0.024448 Loss_D_real: -0.027947 Loss_D_fake 0.011521
[146/5000][190/535][14726] Loss_D: -0.041612 Loss_G: 0.027534 Loss_D_real: -0.041252 Loss_D_fake 0.000360
[146/5000][195/535][14727] Loss_D: -0.040741 Loss_G: 0.029227 Loss_D_real: -0.034084 Loss_D_fake 0.006657
[146/5000][200/535][14728] Loss_D: -0.039151 Loss_G: 0.047850 Loss_D_real: -0.048130 Loss_D_fake -0.008979
[146/5000][205/535][14729] Loss_D: -0.041382 Loss_G: 0.022038 Loss_D_real: -0.023329 Loss_D_fake 0.018053
[146/5000][210/535][14730] Loss_D: -0.039639 Loss_G: 0.050822 Loss_D_real: -0.051685 Loss_D_fake -0.012045
[146/5000][215/535][14731] Loss_D: -0.040300 Loss_G: 0.004050 Loss_D_real: -0.011735 Loss_D_fake 0.028566
[146/5000][220/535][14732] Loss_D: -0.040080 Loss_G: 0.035926 Loss_D_real: -0.036453 Loss_D_fake 0.003628
[146/5000][225/535][14733] Loss_D: -0.039968 Loss_G: -0.004681 Loss_D_real: -0.002384 Loss_D_fake 0.037585
[146/5000][230/535][14734] Loss_D: -0.040666 Loss_G: 0.031708 Loss_D_real: -0.030445 Loss_D_fake 0.010221
[146/5000][235/535][14735] Loss_D: -0.041982 Loss_G: 0.043906 Loss_D_real: -0.032348 Loss_D_fake 0.009633
[146/5000][240/535][14736] Loss_D: -0.041360 Loss_G: -0.005159 Loss_D_real: -0.008561 Loss_D_fake 0.032799
[146/5000][245/535][14737] Loss_D: -0.040103 Loss_G: 0.039642 Loss_D_real: -0.041388 Loss_D_fake -0.001285
[146/5000][250/535][14738] Loss_D: -0.040221 Loss_G: -0.004966 Loss_D_real: -0.009757 Loss_D_fake 0.030464
[146/5000][255/535][14739] Loss_D: -0.038706 Loss_G: 0.031894 Loss_D_real: -0.030359 Loss_D_fake 0.008346
[146/5000][260/535][14740] Loss_D: -0.039606 Loss_G: -0.004801 Loss_D_real: -0.011291 Loss_D_fake 0.028315
[146/5000][265/535][14741] Loss_D: -0.040051 Loss_G: 0.035259 Loss_D_real: -0.029453 Loss_D_fake 0.010598
[146/5000][270/535][14742] Loss_D: -0.040453 Loss_G: 0.008514 Loss_D_real: -0.018256 Loss_D_fake 0.022197
[146/5000][275/535][14743] Loss_D: -0.040291 Loss_G: 0.032601 Loss_D_real: -0.034347 Loss_D_fake 0.005945
[146/5000][280/535][14744] Loss_D: -0.042017 Loss_G: 0.012707 Loss_D_real: -0.019363 Loss_D_fake 0.022654
[146/5000][285/535][14745] Loss_D: -0.041798 Loss_G: 0.030977 Loss_D_real: -0.027213 Loss_D_fake 0.014585
[146/5000][290/535][14746] Loss_D: -0.042121 Loss_G: -0.009032 Loss_D_real: -0.004978 Loss_D_fake 0.037142
[146/5000][295/535][14747] Loss_D: -0.038198 Loss_G: 0.029521 Loss_D_real: -0.040952 Loss_D_fake -0.002754
[146/5000][300/535][14748] Loss_D: -0.039619 Loss_G: 0.037004 Loss_D_real: -0.038897 Loss_D_fake 0.000723
[146/5000][305/535][14749] Loss_D: -0.041398 Loss_G: 0.015247 Loss_D_real: -0.021572 Loss_D_fake 0.019826
[146/5000][310/535][14750] Loss_D: -0.040415 Loss_G: 0.036892 Loss_D_real: -0.034482 Loss_D_fake 0.005933
[146/5000][315/535][14751] Loss_D: -0.041130 Loss_G: 0.001747 Loss_D_real: -0.007440 Loss_D_fake 0.033689
[146/5000][320/535][14752] Loss_D: -0.038606 Loss_G: 0.038239 Loss_D_real: -0.045346 Loss_D_fake -0.006740
[146/5000][325/535][14753] Loss_D: -0.041197 Loss_G: 0.024183 Loss_D_real: -0.026700 Loss_D_fake 0.014498
[146/5000][330/535][14754] Loss_D: -0.040505 Loss_G: -0.010275 Loss_D_real: -0.009498 Loss_D_fake 0.031007
[146/5000][335/535][14755] Loss_D: -0.040475 Loss_G: 0.040429 Loss_D_real: -0.036746 Loss_D_fake 0.003729
[146/5000][340/535][14756] Loss_D: -0.037321 Loss_G: 0.000127 Loss_D_real: -0.005235 Loss_D_fake 0.032086
[146/5000][345/535][14757] Loss_D: -0.040541 Loss_G: 0.012013 Loss_D_real: -0.025186 Loss_D_fake 0.015355
[146/5000][350/535][14758] Loss_D: -0.040777 Loss_G: 0.006202 Loss_D_real: -0.013886 Loss_D_fake 0.026891
[146/5000][355/535][14759] Loss_D: -0.039127 Loss_G: 0.038132 Loss_D_real: -0.035108 Loss_D_fake 0.004019
[146/5000][360/535][14760] Loss_D: -0.042158 Loss_G: 0.001890 Loss_D_real: -0.012324 Loss_D_fake 0.029834
[146/5000][365/535][14761] Loss_D: -0.040534 Loss_G: 0.032594 Loss_D_real: -0.031660 Loss_D_fake 0.008874
[146/5000][370/535][14762] Loss_D: -0.041203 Loss_G: 0.010277 Loss_D_real: -0.013695 Loss_D_fake 0.027508
[146/5000][375/535][14763] Loss_D: -0.043776 Loss_G: 0.018486 Loss_D_real: -0.029273 Loss_D_fake 0.014503
[146/5000][380/535][14764] Loss_D: -0.039697 Loss_G: 0.034509 Loss_D_real: -0.035836 Loss_D_fake 0.003861
[146/5000][385/535][14765] Loss_D: -0.039687 Loss_G: 0.042681 Loss_D_real: -0.039416 Loss_D_fake 0.000271
[146/5000][390/535][14766] Loss_D: -0.041544 Loss_G: 0.026337 Loss_D_real: -0.030321 Loss_D_fake 0.011223
[146/5000][395/535][14767] Loss_D: -0.042454 Loss_G: 0.025027 Loss_D_real: -0.031835 Loss_D_fake 0.010619
[146/5000][400/535][14768] Loss_D: -0.040863 Loss_G: 0.049740 Loss_D_real: -0.036792 Loss_D_fake 0.004070
[146/5000][405/535][14769] Loss_D: -0.042599 Loss_G: 0.018598 Loss_D_real: -0.024174 Loss_D_fake 0.018425
[146/5000][410/535][14770] Loss_D: -0.041638 Loss_G: 0.042418 Loss_D_real: -0.035086 Loss_D_fake 0.006552
[146/5000][415/535][14771] Loss_D: -0.041569 Loss_G: 0.030183 Loss_D_real: -0.021295 Loss_D_fake 0.020274
[146/5000][420/535][14772] Loss_D: -0.039604 Loss_G: 0.007232 Loss_D_real: -0.010045 Loss_D_fake 0.029559
[146/5000][425/535][14773] Loss_D: -0.040921 Loss_G: 0.028170 Loss_D_real: -0.034364 Loss_D_fake 0.006558
[146/5000][430/535][14774] Loss_D: -0.040947 Loss_G: 0.040141 Loss_D_real: -0.037615 Loss_D_fake 0.003333
[146/5000][435/535][14775] Loss_D: -0.039653 Loss_G: -0.010682 Loss_D_real: -0.006386 Loss_D_fake 0.033267
[146/5000][440/535][14776] Loss_D: -0.038691 Loss_G: 0.043229 Loss_D_real: -0.040889 Loss_D_fake -0.002197
[146/5000][445/535][14777] Loss_D: -0.042241 Loss_G: 0.029134 Loss_D_real: -0.027203 Loss_D_fake 0.015038
[146/5000][450/535][14778] Loss_D: -0.041663 Loss_G: 0.018871 Loss_D_real: -0.021246 Loss_D_fake 0.020417
[146/5000][455/535][14779] Loss_D: -0.041836 Loss_G: 0.029630 Loss_D_real: -0.033340 Loss_D_fake 0.008496
[146/5000][460/535][14780] Loss_D: -0.041699 Loss_G: 0.031841 Loss_D_real: -0.030121 Loss_D_fake 0.011578
[146/5000][465/535][14781] Loss_D: -0.039615 Loss_G: 0.009529 Loss_D_real: -0.013508 Loss_D_fake 0.026107
[146/5000][470/535][14782] Loss_D: -0.039555 Loss_G: 0.037299 Loss_D_real: -0.031962 Loss_D_fake 0.007593
[146/5000][475/535][14783] Loss_D: -0.040315 Loss_G: 0.027477 Loss_D_real: -0.025968 Loss_D_fake 0.014347
[146/5000][480/535][14784] Loss_D: -0.040362 Loss_G: 0.049599 Loss_D_real: -0.038902 Loss_D_fake 0.001461
[146/5000][485/535][14785] Loss_D: -0.039171 Loss_G: -0.009415 Loss_D_real: -0.002826 Loss_D_fake 0.036345
[146/5000][490/535][14786] Loss_D: -0.040285 Loss_G: 0.036638 Loss_D_real: -0.043820 Loss_D_fake -0.003535
[146/5000][495/535][14787] Loss_D: -0.041903 Loss_G: 0.037446 Loss_D_real: -0.036543 Loss_D_fake 0.005360
[146/5000][500/535][14788] Loss_D: -0.044163 Loss_G: 0.017166 Loss_D_real: -0.022966 Loss_D_fake 0.021196
[146/5000][505/535][14789] Loss_D: -0.043488 Loss_G: 0.026832 Loss_D_real: -0.030326 Loss_D_fake 0.013162
[146/5000][510/535][14790] Loss_D: -0.042616 Loss_G: 0.034671 Loss_D_real: -0.029635 Loss_D_fake 0.012981
[146/5000][515/535][14791] Loss_D: -0.042380 Loss_G: 0.030582 Loss_D_real: -0.025029 Loss_D_fake 0.017352
[146/5000][520/535][14792] Loss_D: -0.043581 Loss_G: 0.010688 Loss_D_real: -0.013858 Loss_D_fake 0.029722
[146/5000][525/535][14793] Loss_D: -0.041047 Loss_G: 0.042289 Loss_D_real: -0.031443 Loss_D_fake 0.009604
[146/5000][530/535][14794] Loss_D: -0.039795 Loss_G: 0.017761 Loss_D_real: -0.018180 Loss_D_fake 0.021615
[146/5000][535/535][14795] Loss_D: -0.039878 Loss_G: 0.029328 Loss_D_real: -0.031665 Loss_D_fake 0.008213
[147/5000][5/535][14796] Loss_D: -0.040609 Loss_G: 0.029282 Loss_D_real: -0.031312 Loss_D_fake 0.009297
[147/5000][10/535][14797] Loss_D: -0.041919 Loss_G: 0.013865 Loss_D_real: -0.019953 Loss_D_fake 0.021966
[147/5000][15/535][14798] Loss_D: -0.042133 Loss_G: 0.036243 Loss_D_real: -0.029289 Loss_D_fake 0.012844
[147/5000][20/535][14799] Loss_D: -0.040908 Loss_G: 0.022595 Loss_D_real: -0.024334 Loss_D_fake 0.016573
[147/5000][25/535][14800] Loss_D: -0.040054 Loss_G: -0.016773 Loss_D_real: -0.000743 Loss_D_fake 0.039311
[147/5000][30/535][14801] Loss_D: -0.039556 Loss_G: 0.023529 Loss_D_real: -0.027141 Loss_D_fake 0.012415
[147/5000][35/535][14802] Loss_D: -0.039942 Loss_G: 0.024813 Loss_D_real: -0.030510 Loss_D_fake 0.009432
[147/5000][40/535][14803] Loss_D: -0.041116 Loss_G: 0.032384 Loss_D_real: -0.029687 Loss_D_fake 0.011429
[147/5000][45/535][14804] Loss_D: -0.041086 Loss_G: 0.000632 Loss_D_real: -0.012455 Loss_D_fake 0.028632
[147/5000][50/535][14805] Loss_D: -0.038832 Loss_G: 0.014638 Loss_D_real: -0.028140 Loss_D_fake 0.010692
[147/5000][55/535][14806] Loss_D: -0.040694 Loss_G: -0.001307 Loss_D_real: -0.011414 Loss_D_fake 0.029280
[147/5000][60/535][14807] Loss_D: -0.040018 Loss_G: 0.038142 Loss_D_real: -0.035020 Loss_D_fake 0.004999
[147/5000][65/535][14808] Loss_D: -0.039975 Loss_G: -0.012440 Loss_D_real: 0.001048 Loss_D_fake 0.041024
[147/5000][70/535][14809] Loss_D: -0.037972 Loss_G: 0.016789 Loss_D_real: -0.024163 Loss_D_fake 0.013809
[147/5000][75/535][14810] Loss_D: -0.039117 Loss_G: -0.010098 Loss_D_real: -0.013397 Loss_D_fake 0.025720
[147/5000][80/535][14811] Loss_D: -0.037265 Loss_G: 0.050438 Loss_D_real: -0.056123 Loss_D_fake -0.018858
[147/5000][85/535][14812] Loss_D: -0.039762 Loss_G: 0.023062 Loss_D_real: -0.032210 Loss_D_fake 0.007551
[147/5000][90/535][14813] Loss_D: -0.040159 Loss_G: 0.051142 Loss_D_real: -0.048566 Loss_D_fake -0.008408
[147/5000][95/535][14814] Loss_D: -0.042223 Loss_G: -0.005278 Loss_D_real: -0.006622 Loss_D_fake 0.035601
[147/5000][100/535][14815] Loss_D: -0.038936 Loss_G: 0.013004 Loss_D_real: -0.024485 Loss_D_fake 0.014452
[147/5000][105/535][14816] Loss_D: -0.040066 Loss_G: 0.015733 Loss_D_real: -0.024760 Loss_D_fake 0.015306
[147/5000][110/535][14817] Loss_D: -0.041388 Loss_G: 0.016152 Loss_D_real: -0.015735 Loss_D_fake 0.025653
[147/5000][115/535][14818] Loss_D: -0.039049 Loss_G: 0.049298 Loss_D_real: -0.046267 Loss_D_fake -0.007218
[147/5000][120/535][14819] Loss_D: -0.041323 Loss_G: 0.010965 Loss_D_real: -0.012735 Loss_D_fake 0.028588
[147/5000][125/535][14820] Loss_D: -0.040563 Loss_G: 0.035244 Loss_D_real: -0.035619 Loss_D_fake 0.004944
[147/5000][130/535][14821] Loss_D: -0.042477 Loss_G: 0.004627 Loss_D_real: -0.015695 Loss_D_fake 0.026782
[147/5000][135/535][14822] Loss_D: -0.040612 Loss_G: 0.040510 Loss_D_real: -0.036274 Loss_D_fake 0.004338
[147/5000][140/535][14823] Loss_D: -0.041787 Loss_G: 0.031151 Loss_D_real: -0.032877 Loss_D_fake 0.008910
[147/5000][145/535][14824] Loss_D: -0.039096 Loss_G: 0.044583 Loss_D_real: -0.047134 Loss_D_fake -0.008038
[147/5000][150/535][14825] Loss_D: -0.042284 Loss_G: 0.011502 Loss_D_real: -0.021992 Loss_D_fake 0.020292
[147/5000][155/535][14826] Loss_D: -0.040682 Loss_G: 0.023740 Loss_D_real: -0.026090 Loss_D_fake 0.014593
[147/5000][160/535][14827] Loss_D: -0.040125 Loss_G: 0.008639 Loss_D_real: -0.022034 Loss_D_fake 0.018091
[147/5000][165/535][14828] Loss_D: -0.038635 Loss_G: 0.047790 Loss_D_real: -0.046863 Loss_D_fake -0.008228
[147/5000][170/535][14829] Loss_D: -0.040287 Loss_G: -0.009160 Loss_D_real: -0.007376 Loss_D_fake 0.032911
[147/5000][175/535][14830] Loss_D: -0.039135 Loss_G: 0.037337 Loss_D_real: -0.034259 Loss_D_fake 0.004876
[147/5000][180/535][14831] Loss_D: -0.040337 Loss_G: -0.005659 Loss_D_real: -0.004169 Loss_D_fake 0.036168
[147/5000][185/535][14832] Loss_D: -0.038724 Loss_G: 0.037257 Loss_D_real: -0.033527 Loss_D_fake 0.005197
[147/5000][190/535][14833] Loss_D: -0.039280 Loss_G: 0.010709 Loss_D_real: -0.016683 Loss_D_fake 0.022597
[147/5000][195/535][14834] Loss_D: -0.039289 Loss_G: 0.028367 Loss_D_real: -0.029227 Loss_D_fake 0.010063
[147/5000][200/535][14835] Loss_D: -0.040280 Loss_G: 0.020808 Loss_D_real: -0.024512 Loss_D_fake 0.015768
[147/5000][205/535][14836] Loss_D: -0.040614 Loss_G: 0.010523 Loss_D_real: -0.016691 Loss_D_fake 0.023923
[147/5000][210/535][14837] Loss_D: -0.039453 Loss_G: 0.036989 Loss_D_real: -0.037580 Loss_D_fake 0.001873
[147/5000][215/535][14838] Loss_D: -0.041988 Loss_G: 0.029128 Loss_D_real: -0.036212 Loss_D_fake 0.005776
[147/5000][220/535][14839] Loss_D: -0.043096 Loss_G: 0.028022 Loss_D_real: -0.031477 Loss_D_fake 0.011619
[147/5000][225/535][14840] Loss_D: -0.044024 Loss_G: 0.011513 Loss_D_real: -0.019221 Loss_D_fake 0.024803
[147/5000][230/535][14841] Loss_D: -0.039618 Loss_G: 0.024200 Loss_D_real: -0.030191 Loss_D_fake 0.009427
[147/5000][235/535][14842] Loss_D: -0.041437 Loss_G: 0.039296 Loss_D_real: -0.038442 Loss_D_fake 0.002996
[147/5000][240/535][14843] Loss_D: -0.040847 Loss_G: -0.013958 Loss_D_real: -0.009163 Loss_D_fake 0.031684
[147/5000][245/535][14844] Loss_D: -0.038398 Loss_G: 0.023164 Loss_D_real: -0.027679 Loss_D_fake 0.010719
[147/5000][250/535][14845] Loss_D: -0.041426 Loss_G: 0.009173 Loss_D_real: -0.014590 Loss_D_fake 0.026836
[147/5000][255/535][14846] Loss_D: -0.038352 Loss_G: 0.036530 Loss_D_real: -0.035448 Loss_D_fake 0.002904
[147/5000][260/535][14847] Loss_D: -0.038550 Loss_G: 0.033656 Loss_D_real: -0.029584 Loss_D_fake 0.008966
[147/5000][265/535][14848] Loss_D: -0.042332 Loss_G: 0.008970 Loss_D_real: -0.014904 Loss_D_fake 0.027428
[147/5000][270/535][14849] Loss_D: -0.039571 Loss_G: 0.035280 Loss_D_real: -0.040726 Loss_D_fake -0.001155
[147/5000][275/535][14850] Loss_D: -0.040049 Loss_G: -0.000282 Loss_D_real: -0.009868 Loss_D_fake 0.030181
[147/5000][280/535][14851] Loss_D: -0.039693 Loss_G: 0.021896 Loss_D_real: -0.026803 Loss_D_fake 0.012890
[147/5000][285/535][14852] Loss_D: -0.041055 Loss_G: 0.020600 Loss_D_real: -0.025358 Loss_D_fake 0.015697
[147/5000][290/535][14853] Loss_D: -0.041984 Loss_G: 0.037509 Loss_D_real: -0.042232 Loss_D_fake -0.000248
[147/5000][295/535][14854] Loss_D: -0.041275 Loss_G: 0.020964 Loss_D_real: -0.024169 Loss_D_fake 0.017106
[147/5000][300/535][14855] Loss_D: -0.041587 Loss_G: 0.037282 Loss_D_real: -0.036673 Loss_D_fake 0.004913
[147/5000][305/535][14856] Loss_D: -0.042271 Loss_G: -0.010924 Loss_D_real: -0.008804 Loss_D_fake 0.033467
[147/5000][310/535][14857] Loss_D: -0.037873 Loss_G: 0.045509 Loss_D_real: -0.044675 Loss_D_fake -0.006802
[147/5000][315/535][14858] Loss_D: -0.040887 Loss_G: 0.002718 Loss_D_real: -0.013795 Loss_D_fake 0.027093
[147/5000][320/535][14859] Loss_D: -0.040042 Loss_G: 0.032796 Loss_D_real: -0.030634 Loss_D_fake 0.009408
[147/5000][325/535][14860] Loss_D: -0.039730 Loss_G: -0.005168 Loss_D_real: -0.012809 Loss_D_fake 0.026921
[147/5000][330/535][14861] Loss_D: -0.039629 Loss_G: 0.026790 Loss_D_real: -0.028617 Loss_D_fake 0.011012
[147/5000][335/535][14862] Loss_D: -0.039097 Loss_G: 0.023588 Loss_D_real: -0.029201 Loss_D_fake 0.009896
[147/5000][340/535][14863] Loss_D: -0.041489 Loss_G: 0.009291 Loss_D_real: -0.016201 Loss_D_fake 0.025288
[147/5000][345/535][14864] Loss_D: -0.039904 Loss_G: 0.037177 Loss_D_real: -0.035708 Loss_D_fake 0.004196
[147/5000][350/535][14865] Loss_D: -0.042738 Loss_G: 0.023774 Loss_D_real: -0.020810 Loss_D_fake 0.021927
[147/5000][355/535][14866] Loss_D: -0.042323 Loss_G: 0.015321 Loss_D_real: -0.024949 Loss_D_fake 0.017374
[147/5000][360/535][14867] Loss_D: -0.042162 Loss_G: 0.040987 Loss_D_real: -0.040745 Loss_D_fake 0.001417
[147/5000][365/535][14868] Loss_D: -0.042557 Loss_G: 0.029871 Loss_D_real: -0.030687 Loss_D_fake 0.011870
[147/5000][370/535][14869] Loss_D: -0.041905 Loss_G: -0.009121 Loss_D_real: -0.000905 Loss_D_fake 0.041000
[147/5000][375/535][14870] Loss_D: -0.040318 Loss_G: 0.019689 Loss_D_real: -0.027690 Loss_D_fake 0.012628
[147/5000][380/535][14871] Loss_D: -0.041553 Loss_G: 0.026561 Loss_D_real: -0.033357 Loss_D_fake 0.008196
[147/5000][385/535][14872] Loss_D: -0.040642 Loss_G: 0.024744 Loss_D_real: -0.023619 Loss_D_fake 0.017023
[147/5000][390/535][14873] Loss_D: -0.042227 Loss_G: 0.007985 Loss_D_real: -0.018966 Loss_D_fake 0.023261
[147/5000][395/535][14874] Loss_D: -0.039053 Loss_G: 0.053669 Loss_D_real: -0.049328 Loss_D_fake -0.010275
[147/5000][400/535][14875] Loss_D: -0.038355 Loss_G: -0.010664 Loss_D_real: 0.001428 Loss_D_fake 0.039783
[147/5000][405/535][14876] Loss_D: -0.036951 Loss_G: 0.013385 Loss_D_real: -0.023423 Loss_D_fake 0.013528
[147/5000][410/535][14877] Loss_D: -0.040544 Loss_G: 0.026975 Loss_D_real: -0.029470 Loss_D_fake 0.011074
[147/5000][415/535][14878] Loss_D: -0.041708 Loss_G: 0.018858 Loss_D_real: -0.022422 Loss_D_fake 0.019286
[147/5000][420/535][14879] Loss_D: -0.038533 Loss_G: 0.043428 Loss_D_real: -0.039281 Loss_D_fake -0.000749
[147/5000][425/535][14880] Loss_D: -0.040903 Loss_G: 0.020269 Loss_D_real: -0.021048 Loss_D_fake 0.019855
[147/5000][430/535][14881] Loss_D: -0.041149 Loss_G: -0.004645 Loss_D_real: -0.009750 Loss_D_fake 0.031399
[147/5000][435/535][14882] Loss_D: -0.040679 Loss_G: 0.036935 Loss_D_real: -0.032115 Loss_D_fake 0.008563
[147/5000][440/535][14883] Loss_D: -0.042310 Loss_G: 0.013730 Loss_D_real: -0.020018 Loss_D_fake 0.022292
[147/5000][445/535][14884] Loss_D: -0.040281 Loss_G: 0.033523 Loss_D_real: -0.030691 Loss_D_fake 0.009591
[147/5000][450/535][14885] Loss_D: -0.042526 Loss_G: 0.001924 Loss_D_real: -0.014811 Loss_D_fake 0.027715
[147/5000][455/535][14886] Loss_D: -0.040437 Loss_G: 0.038594 Loss_D_real: -0.039307 Loss_D_fake 0.001130
[147/5000][460/535][14887] Loss_D: -0.042359 Loss_G: -0.000904 Loss_D_real: -0.010499 Loss_D_fake 0.031860
[147/5000][465/535][14888] Loss_D: -0.041724 Loss_G: 0.053844 Loss_D_real: -0.041589 Loss_D_fake 0.000135
[147/5000][470/535][14889] Loss_D: -0.039232 Loss_G: 0.001405 Loss_D_real: -0.012173 Loss_D_fake 0.027059
[147/5000][475/535][14890] Loss_D: -0.041301 Loss_G: 0.029639 Loss_D_real: -0.033392 Loss_D_fake 0.007909
[147/5000][480/535][14891] Loss_D: -0.040686 Loss_G: 0.029115 Loss_D_real: -0.025964 Loss_D_fake 0.014722
[147/5000][485/535][14892] Loss_D: -0.040923 Loss_G: 0.006386 Loss_D_real: -0.011015 Loss_D_fake 0.029908
[147/5000][490/535][14893] Loss_D: -0.040735 Loss_G: 0.034360 Loss_D_real: -0.029219 Loss_D_fake 0.011516
[147/5000][495/535][14894] Loss_D: -0.041670 Loss_G: 0.012548 Loss_D_real: -0.025581 Loss_D_fake 0.016089
[147/5000][500/535][14895] Loss_D: -0.039953 Loss_G: 0.036327 Loss_D_real: -0.042344 Loss_D_fake -0.002392
[147/5000][505/535][14896] Loss_D: -0.042724 Loss_G: 0.004908 Loss_D_real: -0.024406 Loss_D_fake 0.018318
[147/5000][510/535][14897] Loss_D: -0.040461 Loss_G: 0.027838 Loss_D_real: -0.026238 Loss_D_fake 0.014223
[147/5000][515/535][14898] Loss_D: -0.042137 Loss_G: 0.008360 Loss_D_real: -0.012405 Loss_D_fake 0.029731
[147/5000][520/535][14899] Loss_D: -0.040692 Loss_G: 0.041897 Loss_D_real: -0.036595 Loss_D_fake 0.004097
[147/5000][525/535][14900] Loss_D: -0.042739 Loss_G: 0.011781 Loss_D_real: -0.021998 Loss_D_fake 0.020741
[147/5000][530/535][14901] Loss_D: -0.039676 Loss_G: 0.020957 Loss_D_real: -0.025311 Loss_D_fake 0.014365
[147/5000][535/535][14902] Loss_D: -0.043850 Loss_G: 0.024592 Loss_D_real: -0.036125 Loss_D_fake 0.007725
[148/5000][5/535][14903] Loss_D: -0.041172 Loss_G: 0.053440 Loss_D_real: -0.045331 Loss_D_fake -0.004159
[148/5000][10/535][14904] Loss_D: -0.039563 Loss_G: -0.008535 Loss_D_real: -0.009198 Loss_D_fake 0.030366
[148/5000][15/535][14905] Loss_D: -0.038143 Loss_G: 0.043272 Loss_D_real: -0.044796 Loss_D_fake -0.006652
[148/5000][20/535][14906] Loss_D: -0.040850 Loss_G: 0.014306 Loss_D_real: -0.013971 Loss_D_fake 0.026878
[148/5000][25/535][14907] Loss_D: -0.039230 Loss_G: 0.010542 Loss_D_real: -0.012510 Loss_D_fake 0.026719
[148/5000][30/535][14908] Loss_D: -0.038044 Loss_G: 0.049045 Loss_D_real: -0.042768 Loss_D_fake -0.004725
[148/5000][35/535][14909] Loss_D: -0.040721 Loss_G: 0.004636 Loss_D_real: -0.007935 Loss_D_fake 0.032786
[148/5000][40/535][14910] Loss_D: -0.038301 Loss_G: 0.040887 Loss_D_real: -0.035888 Loss_D_fake 0.002414
[148/5000][45/535][14911] Loss_D: -0.040808 Loss_G: 0.008005 Loss_D_real: -0.024169 Loss_D_fake 0.016639
[148/5000][50/535][14912] Loss_D: -0.038710 Loss_G: 0.030588 Loss_D_real: -0.033540 Loss_D_fake 0.005170
[148/5000][55/535][14913] Loss_D: -0.040494 Loss_G: 0.013357 Loss_D_real: -0.019461 Loss_D_fake 0.021033
[148/5000][60/535][14914] Loss_D: -0.040915 Loss_G: 0.027102 Loss_D_real: -0.035196 Loss_D_fake 0.005719
[148/5000][65/535][14915] Loss_D: -0.041717 Loss_G: 0.020842 Loss_D_real: -0.020230 Loss_D_fake 0.021487
[148/5000][70/535][14916] Loss_D: -0.041700 Loss_G: 0.030746 Loss_D_real: -0.025908 Loss_D_fake 0.015793
[148/5000][75/535][14917] Loss_D: -0.039452 Loss_G: 0.007990 Loss_D_real: -0.012103 Loss_D_fake 0.027348
[148/5000][80/535][14918] Loss_D: -0.040679 Loss_G: 0.021330 Loss_D_real: -0.027770 Loss_D_fake 0.012909
[148/5000][85/535][14919] Loss_D: -0.039863 Loss_G: 0.021072 Loss_D_real: -0.021451 Loss_D_fake 0.018412
[148/5000][90/535][14920] Loss_D: -0.039761 Loss_G: -0.000383 Loss_D_real: -0.009762 Loss_D_fake 0.029999
[148/5000][95/535][14921] Loss_D: -0.039683 Loss_G: 0.042771 Loss_D_real: -0.041777 Loss_D_fake -0.002094
[148/5000][100/535][14922] Loss_D: -0.040262 Loss_G: 0.019515 Loss_D_real: -0.027162 Loss_D_fake 0.013100
[148/5000][105/535][14923] Loss_D: -0.041195 Loss_G: 0.028579 Loss_D_real: -0.032123 Loss_D_fake 0.009072
[148/5000][110/535][14924] Loss_D: -0.038839 Loss_G: 0.046608 Loss_D_real: -0.046271 Loss_D_fake -0.007432
[148/5000][115/535][14925] Loss_D: -0.041038 Loss_G: 0.014108 Loss_D_real: -0.017709 Loss_D_fake 0.023330
[148/5000][120/535][14926] Loss_D: -0.039786 Loss_G: 0.012464 Loss_D_real: -0.021047 Loss_D_fake 0.018740
[148/5000][125/535][14927] Loss_D: -0.040250 Loss_G: 0.007404 Loss_D_real: -0.019954 Loss_D_fake 0.020296
[148/5000][130/535][14928] Loss_D: -0.037960 Loss_G: 0.048905 Loss_D_real: -0.053358 Loss_D_fake -0.015398
[148/5000][135/535][14929] Loss_D: -0.040619 Loss_G: -0.002160 Loss_D_real: 0.005237 Loss_D_fake 0.045857
[148/5000][140/535][14930] Loss_D: -0.039027 Loss_G: 0.028499 Loss_D_real: -0.033529 Loss_D_fake 0.005499
[148/5000][145/535][14931] Loss_D: -0.039903 Loss_G: 0.015589 Loss_D_real: -0.016454 Loss_D_fake 0.023448
[148/5000][150/535][14932] Loss_D: -0.041495 Loss_G: 0.031761 Loss_D_real: -0.028567 Loss_D_fake 0.012928
[148/5000][155/535][14933] Loss_D: -0.040119 Loss_G: 0.002284 Loss_D_real: -0.014295 Loss_D_fake 0.025823
[148/5000][160/535][14934] Loss_D: -0.040268 Loss_G: 0.025210 Loss_D_real: -0.026515 Loss_D_fake 0.013752
[148/5000][165/535][14935] Loss_D: -0.041642 Loss_G: 0.034769 Loss_D_real: -0.025497 Loss_D_fake 0.016146
[148/5000][170/535][14936] Loss_D: -0.041354 Loss_G: 0.007428 Loss_D_real: -0.017702 Loss_D_fake 0.023652
[148/5000][175/535][14937] Loss_D: -0.041454 Loss_G: 0.030306 Loss_D_real: -0.030919 Loss_D_fake 0.010536
[148/5000][180/535][14938] Loss_D: -0.041227 Loss_G: 0.014293 Loss_D_real: -0.016646 Loss_D_fake 0.024582
[148/5000][185/535][14939] Loss_D: -0.038909 Loss_G: 0.041266 Loss_D_real: -0.041681 Loss_D_fake -0.002772
[148/5000][190/535][14940] Loss_D: -0.040933 Loss_G: -0.003589 Loss_D_real: -0.008442 Loss_D_fake 0.032491
[148/5000][195/535][14941] Loss_D: -0.040797 Loss_G: 0.035152 Loss_D_real: -0.029114 Loss_D_fake 0.011683
[148/5000][200/535][14942] Loss_D: -0.041422 Loss_G: 0.022189 Loss_D_real: -0.026991 Loss_D_fake 0.014430
[148/5000][205/535][14943] Loss_D: -0.041000 Loss_G: 0.011994 Loss_D_real: -0.025908 Loss_D_fake 0.015092
[148/5000][210/535][14944] Loss_D: -0.043249 Loss_G: 0.016649 Loss_D_real: -0.023272 Loss_D_fake 0.019977
[148/5000][215/535][14945] Loss_D: -0.040905 Loss_G: 0.044058 Loss_D_real: -0.044480 Loss_D_fake -0.003574
[148/5000][220/535][14946] Loss_D: -0.041437 Loss_G: 0.021519 Loss_D_real: -0.025511 Loss_D_fake 0.015926
[148/5000][225/535][14947] Loss_D: -0.041719 Loss_G: 0.025197 Loss_D_real: -0.035172 Loss_D_fake 0.006546
[148/5000][230/535][14948] Loss_D: -0.039534 Loss_G: 0.035065 Loss_D_real: -0.036354 Loss_D_fake 0.003181
[148/5000][235/535][14949] Loss_D: -0.041089 Loss_G: 0.005281 Loss_D_real: -0.017881 Loss_D_fake 0.023207
[148/5000][240/535][14950] Loss_D: -0.040257 Loss_G: 0.042418 Loss_D_real: -0.040053 Loss_D_fake 0.000204
[148/5000][245/535][14951] Loss_D: -0.040361 Loss_G: 0.032587 Loss_D_real: -0.031663 Loss_D_fake 0.008698
[148/5000][250/535][14952] Loss_D: -0.040891 Loss_G: 0.007725 Loss_D_real: -0.011762 Loss_D_fake 0.029129
[148/5000][255/535][14953] Loss_D: -0.038655 Loss_G: 0.044369 Loss_D_real: -0.039695 Loss_D_fake -0.001039
[148/5000][260/535][14954] Loss_D: -0.039075 Loss_G: 0.000025 Loss_D_real: -0.007312 Loss_D_fake 0.031763
[148/5000][265/535][14955] Loss_D: -0.040121 Loss_G: 0.037818 Loss_D_real: -0.036296 Loss_D_fake 0.003825
[148/5000][270/535][14956] Loss_D: -0.042201 Loss_G: 0.017372 Loss_D_real: -0.021007 Loss_D_fake 0.021194
[148/5000][275/535][14957] Loss_D: -0.044491 Loss_G: 0.010189 Loss_D_real: -0.019605 Loss_D_fake 0.024886
[148/5000][280/535][14958] Loss_D: -0.039690 Loss_G: 0.046117 Loss_D_real: -0.043369 Loss_D_fake -0.003679
[148/5000][285/535][14959] Loss_D: -0.040786 Loss_G: 0.013772 Loss_D_real: -0.009449 Loss_D_fake 0.031337
[148/5000][290/535][14960] Loss_D: -0.039349 Loss_G: 0.029753 Loss_D_real: -0.029105 Loss_D_fake 0.010244
[148/5000][295/535][14961] Loss_D: -0.039173 Loss_G: 0.039866 Loss_D_real: -0.039921 Loss_D_fake -0.000748
[148/5000][300/535][14962] Loss_D: -0.043711 Loss_G: 0.016221 Loss_D_real: -0.019607 Loss_D_fake 0.024104
[148/5000][305/535][14963] Loss_D: -0.040073 Loss_G: 0.030337 Loss_D_real: -0.031530 Loss_D_fake 0.008543
[148/5000][310/535][14964] Loss_D: -0.042129 Loss_G: 0.020039 Loss_D_real: -0.030441 Loss_D_fake 0.011688
[148/5000][315/535][14965] Loss_D: -0.041377 Loss_G: 0.039978 Loss_D_real: -0.033794 Loss_D_fake 0.007583
[148/5000][320/535][14966] Loss_D: -0.040422 Loss_G: 0.007737 Loss_D_real: -0.013071 Loss_D_fake 0.027351
[148/5000][325/535][14967] Loss_D: -0.041220 Loss_G: 0.036182 Loss_D_real: -0.031556 Loss_D_fake 0.009664
[148/5000][330/535][14968] Loss_D: -0.041063 Loss_G: 0.026093 Loss_D_real: -0.029908 Loss_D_fake 0.011155
[148/5000][335/535][14969] Loss_D: -0.040763 Loss_G: 0.033663 Loss_D_real: -0.027007 Loss_D_fake 0.013756
[148/5000][340/535][14970] Loss_D: -0.040272 Loss_G: -0.002834 Loss_D_real: -0.007468 Loss_D_fake 0.032804
[148/5000][345/535][14971] Loss_D: -0.039199 Loss_G: 0.038100 Loss_D_real: -0.044333 Loss_D_fake -0.005134
[148/5000][350/535][14972] Loss_D: -0.040545 Loss_G: -0.001297 Loss_D_real: -0.013030 Loss_D_fake 0.027514
[148/5000][355/535][14973] Loss_D: -0.038594 Loss_G: 0.033536 Loss_D_real: -0.033307 Loss_D_fake 0.005287
[148/5000][360/535][14974] Loss_D: -0.041269 Loss_G: 0.017374 Loss_D_real: -0.025140 Loss_D_fake 0.016129
[148/5000][365/535][14975] Loss_D: -0.040859 Loss_G: 0.017491 Loss_D_real: -0.021435 Loss_D_fake 0.019424
[148/5000][370/535][14976] Loss_D: -0.040115 Loss_G: -0.000654 Loss_D_real: -0.012257 Loss_D_fake 0.027858
[148/5000][375/535][14977] Loss_D: -0.039499 Loss_G: 0.013271 Loss_D_real: -0.017737 Loss_D_fake 0.021761
[148/5000][380/535][14978] Loss_D: -0.041468 Loss_G: 0.031654 Loss_D_real: -0.027758 Loss_D_fake 0.013710
[148/5000][385/535][14979] Loss_D: -0.040979 Loss_G: 0.013788 Loss_D_real: -0.018300 Loss_D_fake 0.022679
[148/5000][390/535][14980] Loss_D: -0.040109 Loss_G: 0.020148 Loss_D_real: -0.023732 Loss_D_fake 0.016377
[148/5000][395/535][14981] Loss_D: -0.039518 Loss_G: 0.000175 Loss_D_real: -0.009074 Loss_D_fake 0.030444
[148/5000][400/535][14982] Loss_D: -0.037794 Loss_G: 0.038283 Loss_D_real: -0.034540 Loss_D_fake 0.003255
[148/5000][405/535][14983] Loss_D: -0.040878 Loss_G: 0.001881 Loss_D_real: -0.010462 Loss_D_fake 0.030416
[148/5000][410/535][14984] Loss_D: -0.038809 Loss_G: 0.046556 Loss_D_real: -0.039296 Loss_D_fake -0.000487
[148/5000][415/535][14985] Loss_D: -0.039056 Loss_G: -0.006415 Loss_D_real: -0.002231 Loss_D_fake 0.036824
[148/5000][420/535][14986] Loss_D: -0.038133 Loss_G: 0.037464 Loss_D_real: -0.034888 Loss_D_fake 0.003245
[148/5000][425/535][14987] Loss_D: -0.040651 Loss_G: 0.000577 Loss_D_real: -0.010306 Loss_D_fake 0.030345
[148/5000][430/535][14988] Loss_D: -0.040657 Loss_G: 0.035906 Loss_D_real: -0.039839 Loss_D_fake 0.000818
[148/5000][435/535][14989] Loss_D: -0.042478 Loss_G: 0.014676 Loss_D_real: -0.025776 Loss_D_fake 0.016702
[148/5000][440/535][14990] Loss_D: -0.042456 Loss_G: 0.036688 Loss_D_real: -0.036919 Loss_D_fake 0.005537
[148/5000][445/535][14991] Loss_D: -0.041839 Loss_G: -0.005584 Loss_D_real: -0.007831 Loss_D_fake 0.034008
[148/5000][450/535][14992] Loss_D: -0.040776 Loss_G: 0.034033 Loss_D_real: -0.036012 Loss_D_fake 0.004764
[148/5000][455/535][14993] Loss_D: -0.038971 Loss_G: 0.040234 Loss_D_real: -0.033938 Loss_D_fake 0.005033
[148/5000][460/535][14994] Loss_D: -0.040623 Loss_G: 0.038731 Loss_D_real: -0.031932 Loss_D_fake 0.008691
[148/5000][465/535][14995] Loss_D: -0.040517 Loss_G: 0.003611 Loss_D_real: -0.021596 Loss_D_fake 0.018921
[148/5000][470/535][14996] Loss_D: -0.039059 Loss_G: 0.015466 Loss_D_real: -0.024397 Loss_D_fake 0.014662
[148/5000][475/535][14997] Loss_D: -0.042512 Loss_G: 0.044984 Loss_D_real: -0.037011 Loss_D_fake 0.005500
[148/5000][480/535][14998] Loss_D: -0.037784 Loss_G: -0.006841 Loss_D_real: -0.001380 Loss_D_fake 0.036404
[148/5000][485/535][14999] Loss_D: -0.037865 Loss_G: 0.025794 Loss_D_real: -0.031455 Loss_D_fake 0.006410
[148/5000][490/535][15000] Loss_D: -0.039017 Loss_G: 0.006806 Loss_D_real: -0.012164 Loss_D_fake 0.026853
[148/5000][535/535][15001] Loss_D: -0.041337 Loss_G: 0.040069 Loss_D_real: -0.039477 Loss_D_fake 0.001860
[149/5000][5/535][15002] Loss_D: -0.040865 Loss_G: -0.004316 Loss_D_real: -0.004637 Loss_D_fake 0.036228
[149/5000][10/535][15003] Loss_D: -0.039845 Loss_G: 0.024581 Loss_D_real: -0.027932 Loss_D_fake 0.011914
[149/5000][15/535][15004] Loss_D: -0.038493 Loss_G: 0.033601 Loss_D_real: -0.037007 Loss_D_fake 0.001485
[149/5000][20/535][15005] Loss_D: -0.040977 Loss_G: 0.008541 Loss_D_real: -0.015274 Loss_D_fake 0.025703
[149/5000][25/535][15006] Loss_D: -0.040329 Loss_G: 0.040522 Loss_D_real: -0.036431 Loss_D_fake 0.003899
[149/5000][30/535][15007] Loss_D: -0.040148 Loss_G: 0.033978 Loss_D_real: -0.030690 Loss_D_fake 0.009458
[149/5000][35/535][15008] Loss_D: -0.040529 Loss_G: 0.036856 Loss_D_real: -0.030770 Loss_D_fake 0.009759
[149/5000][40/535][15009] Loss_D: -0.040726 Loss_G: 0.005071 Loss_D_real: -0.011337 Loss_D_fake 0.029389
[149/5000][45/535][15010] Loss_D: -0.038872 Loss_G: 0.050550 Loss_D_real: -0.042281 Loss_D_fake -0.003409
[149/5000][50/535][15011] Loss_D: -0.039897 Loss_G: -0.007647 Loss_D_real: -0.002453 Loss_D_fake 0.037443
[149/5000][55/535][15012] Loss_D: -0.039649 Loss_G: 0.017209 Loss_D_real: -0.021752 Loss_D_fake 0.017897
[149/5000][60/535][15013] Loss_D: -0.040022 Loss_G: 0.039128 Loss_D_real: -0.035209 Loss_D_fake 0.004813
[149/5000][65/535][15014] Loss_D: -0.041814 Loss_G: 0.012603 Loss_D_real: -0.015476 Loss_D_fake 0.026338
[149/5000][70/535][15015] Loss_D: -0.040387 Loss_G: -0.003248 Loss_D_real: -0.008848 Loss_D_fake 0.031539
[149/5000][75/535][15016] Loss_D: -0.038840 Loss_G: 0.044946 Loss_D_real: -0.038044 Loss_D_fake 0.000796
[149/5000][80/535][15017] Loss_D: -0.041136 Loss_G: 0.009276 Loss_D_real: -0.020188 Loss_D_fake 0.020949
[149/5000][85/535][15018] Loss_D: -0.040216 Loss_G: 0.036378 Loss_D_real: -0.037352 Loss_D_fake 0.002863
[149/5000][90/535][15019] Loss_D: -0.040963 Loss_G: 0.003822 Loss_D_real: -0.013144 Loss_D_fake 0.027819
[149/5000][95/535][15020] Loss_D: -0.042033 Loss_G: 0.033925 Loss_D_real: -0.030673 Loss_D_fake 0.011361
[149/5000][100/535][15021] Loss_D: -0.040169 Loss_G: 0.001783 Loss_D_real: -0.013262 Loss_D_fake 0.026907
[149/5000][105/535][15022] Loss_D: -0.040138 Loss_G: 0.028917 Loss_D_real: -0.034771 Loss_D_fake 0.005368
[149/5000][110/535][15023] Loss_D: -0.042709 Loss_G: 0.007613 Loss_D_real: -0.013937 Loss_D_fake 0.028772
[149/5000][115/535][15024] Loss_D: -0.043384 Loss_G: 0.028195 Loss_D_real: -0.028165 Loss_D_fake 0.015220
[149/5000][120/535][15025] Loss_D: -0.042377 Loss_G: 0.027451 Loss_D_real: -0.027241 Loss_D_fake 0.015136
[149/5000][125/535][15026] Loss_D: -0.042544 Loss_G: 0.001293 Loss_D_real: -0.014671 Loss_D_fake 0.027873
[149/5000][130/535][15027] Loss_D: -0.038037 Loss_G: 0.038920 Loss_D_real: -0.041154 Loss_D_fake -0.003116
[149/5000][135/535][15028] Loss_D: -0.040899 Loss_G: 0.022329 Loss_D_real: -0.030040 Loss_D_fake 0.010860
[149/5000][140/535][15029] Loss_D: -0.041863 Loss_G: 0.014965 Loss_D_real: -0.021310 Loss_D_fake 0.020554
[149/5000][145/535][15030] Loss_D: -0.038179 Loss_G: 0.002292 Loss_D_real: -0.007589 Loss_D_fake 0.030591
[149/5000][150/535][15031] Loss_D: -0.040522 Loss_G: 0.039853 Loss_D_real: -0.044524 Loss_D_fake -0.004001
[149/5000][155/535][15032] Loss_D: -0.043729 Loss_G: 0.023645 Loss_D_real: -0.025487 Loss_D_fake 0.018243
[149/5000][160/535][15033] Loss_D: -0.039496 Loss_G: 0.024009 Loss_D_real: -0.033214 Loss_D_fake 0.006282
[149/5000][165/535][15034] Loss_D: -0.040551 Loss_G: 0.014764 Loss_D_real: -0.018260 Loss_D_fake 0.022290
[149/5000][170/535][15035] Loss_D: -0.042135 Loss_G: 0.033065 Loss_D_real: -0.026182 Loss_D_fake 0.015953
[149/5000][175/535][15036] Loss_D: -0.040727 Loss_G: -0.002782 Loss_D_real: -0.005982 Loss_D_fake 0.034745
[149/5000][180/535][15037] Loss_D: -0.038629 Loss_G: 0.050885 Loss_D_real: -0.042628 Loss_D_fake -0.003999
[149/5000][185/535][15038] Loss_D: -0.039887 Loss_G: -0.002346 Loss_D_real: -0.011717 Loss_D_fake 0.028170
[149/5000][190/535][15039] Loss_D: -0.037820 Loss_G: 0.037400 Loss_D_real: -0.033920 Loss_D_fake 0.003900
[149/5000][195/535][15040] Loss_D: -0.036058 Loss_G: -0.000528 Loss_D_real: -0.004176 Loss_D_fake 0.031882
[149/5000][200/535][15041] Loss_D: -0.038618 Loss_G: 0.031349 Loss_D_real: -0.035262 Loss_D_fake 0.003356
[149/5000][205/535][15042] Loss_D: -0.038850 Loss_G: 0.013044 Loss_D_real: -0.012895 Loss_D_fake 0.025955
[149/5000][210/535][15043] Loss_D: -0.039296 Loss_G: 0.026694 Loss_D_real: -0.027075 Loss_D_fake 0.012221
[149/5000][215/535][15044] Loss_D: -0.040690 Loss_G: 0.039454 Loss_D_real: -0.036769 Loss_D_fake 0.003922
[149/5000][220/535][15045] Loss_D: -0.042170 Loss_G: 0.024756 Loss_D_real: -0.022488 Loss_D_fake 0.019682
[149/5000][225/535][15046] Loss_D: -0.040334 Loss_G: -0.007145 Loss_D_real: 0.001445 Loss_D_fake 0.041779
[149/5000][230/535][15047] Loss_D: -0.039617 Loss_G: 0.032302 Loss_D_real: -0.026787 Loss_D_fake 0.012830
[149/5000][235/535][15048] Loss_D: -0.038252 Loss_G: 0.008247 Loss_D_real: -0.013783 Loss_D_fake 0.024469
[149/5000][240/535][15049] Loss_D: -0.040186 Loss_G: 0.028200 Loss_D_real: -0.032008 Loss_D_fake 0.008178
[149/5000][245/535][15050] Loss_D: -0.041032 Loss_G: 0.026189 Loss_D_real: -0.026391 Loss_D_fake 0.014641
[149/5000][250/535][15051] Loss_D: -0.043331 Loss_G: 0.009850 Loss_D_real: -0.017282 Loss_D_fake 0.026049
[149/5000][255/535][15052] Loss_D: -0.037859 Loss_G: 0.052415 Loss_D_real: -0.047802 Loss_D_fake -0.009942
[149/5000][260/535][15053] Loss_D: -0.040145 Loss_G: -0.000851 Loss_D_real: -0.009173 Loss_D_fake 0.030972
[149/5000][265/535][15054] Loss_D: -0.040005 Loss_G: 0.033592 Loss_D_real: -0.038406 Loss_D_fake 0.001599
[149/5000][270/535][15055] Loss_D: -0.041761 Loss_G: 0.005788 Loss_D_real: -0.012958 Loss_D_fake 0.028803
[149/5000][275/535][15056] Loss_D: -0.041583 Loss_G: 0.019050 Loss_D_real: -0.029602 Loss_D_fake 0.011982
[149/5000][280/535][15057] Loss_D: -0.042585 Loss_G: 0.029506 Loss_D_real: -0.032024 Loss_D_fake 0.010562
[149/5000][285/535][15058] Loss_D: -0.041228 Loss_G: 0.042806 Loss_D_real: -0.045448 Loss_D_fake -0.004219
[149/5000][290/535][15059] Loss_D: -0.041987 Loss_G: 0.024043 Loss_D_real: -0.022389 Loss_D_fake 0.019599
[149/5000][295/535][15060] Loss_D: -0.043399 Loss_G: 0.010529 Loss_D_real: -0.020435 Loss_D_fake 0.022964
[149/5000][300/535][15061] Loss_D: -0.036783 Loss_G: 0.051417 Loss_D_real: -0.047463 Loss_D_fake -0.010680
[149/5000][305/535][15062] Loss_D: -0.038945 Loss_G: 0.000865 Loss_D_real: -0.004440 Loss_D_fake 0.034505
[149/5000][310/535][15063] Loss_D: -0.037887 Loss_G: 0.039503 Loss_D_real: -0.037261 Loss_D_fake 0.000627
[149/5000][315/535][15064] Loss_D: -0.040740 Loss_G: -0.002489 Loss_D_real: -0.009369 Loss_D_fake 0.031371
[149/5000][320/535][15065] Loss_D: -0.038699 Loss_G: 0.030847 Loss_D_real: -0.033842 Loss_D_fake 0.004857
[149/5000][325/535][15066] Loss_D: -0.039785 Loss_G: 0.018878 Loss_D_real: -0.022238 Loss_D_fake 0.017547
[149/5000][330/535][15067] Loss_D: -0.039791 Loss_G: 0.020558 Loss_D_real: -0.018698 Loss_D_fake 0.021094
[149/5000][335/535][15068] Loss_D: -0.040833 Loss_G: 0.018657 Loss_D_real: -0.021435 Loss_D_fake 0.019398
[149/5000][340/535][15069] Loss_D: -0.040858 Loss_G: 0.029806 Loss_D_real: -0.028870 Loss_D_fake 0.011988
[149/5000][345/535][15070] Loss_D: -0.039976 Loss_G: 0.056833 Loss_D_real: -0.046280 Loss_D_fake -0.006304
[149/5000][350/535][15071] Loss_D: -0.037602 Loss_G: 0.025754 Loss_D_real: -0.024504 Loss_D_fake 0.013098
[149/5000][355/535][15072] Loss_D: -0.041166 Loss_G: 0.032456 Loss_D_real: -0.034359 Loss_D_fake 0.006806
[149/5000][360/535][15073] Loss_D: -0.040253 Loss_G: 0.014140 Loss_D_real: -0.027002 Loss_D_fake 0.013252
[149/5000][365/535][15074] Loss_D: -0.039601 Loss_G: 0.046379 Loss_D_real: -0.049652 Loss_D_fake -0.010052
[149/5000][370/535][15075] Loss_D: -0.040455 Loss_G: 0.018109 Loss_D_real: -0.020193 Loss_D_fake 0.020262
[149/5000][375/535][15076] Loss_D: -0.041240 Loss_G: 0.033329 Loss_D_real: -0.027363 Loss_D_fake 0.013877
[149/5000][380/535][15077] Loss_D: -0.041988 Loss_G: 0.007774 Loss_D_real: -0.017513 Loss_D_fake 0.024475
[149/5000][385/535][15078] Loss_D: -0.036881 Loss_G: 0.047995 Loss_D_real: -0.045758 Loss_D_fake -0.008877
[149/5000][390/535][15079] Loss_D: -0.039290 Loss_G: -0.006202 Loss_D_real: -0.007640 Loss_D_fake 0.031650
[149/5000][395/535][15080] Loss_D: -0.034881 Loss_G: 0.041792 Loss_D_real: -0.045748 Loss_D_fake -0.010867
[149/5000][400/535][15081] Loss_D: -0.038941 Loss_G: 0.005815 Loss_D_real: -0.016840 Loss_D_fake 0.022101
[149/5000][405/535][15082] Loss_D: -0.040500 Loss_G: 0.010089 Loss_D_real: -0.011656 Loss_D_fake 0.028844
[149/5000][410/535][15083] Loss_D: -0.040473 Loss_G: 0.025611 Loss_D_real: -0.029562 Loss_D_fake 0.010911
[149/5000][415/535][15084] Loss_D: -0.041938 Loss_G: 0.028825 Loss_D_real: -0.028920 Loss_D_fake 0.013018
[149/5000][420/535][15085] Loss_D: -0.041524 Loss_G: 0.016405 Loss_D_real: -0.023957 Loss_D_fake 0.017566
[149/5000][425/535][15086] Loss_D: -0.040984 Loss_G: 0.005719 Loss_D_real: -0.015885 Loss_D_fake 0.025100
[149/5000][430/535][15087] Loss_D: -0.038331 Loss_G: 0.024217 Loss_D_real: -0.021462 Loss_D_fake 0.016869
[149/5000][435/535][15088] Loss_D: -0.037633 Loss_G: 0.010047 Loss_D_real: -0.017778 Loss_D_fake 0.019856
[149/5000][440/535][15089] Loss_D: -0.037574 Loss_G: 0.037239 Loss_D_real: -0.026578 Loss_D_fake 0.010995
[149/5000][445/535][15090] Loss_D: -0.038950 Loss_G: 0.011654 Loss_D_real: -0.016831 Loss_D_fake 0.022118
[149/5000][450/535][15091] Loss_D: -0.040527 Loss_G: 0.032812 Loss_D_real: -0.039600 Loss_D_fake 0.000927
[149/5000][455/535][15092] Loss_D: -0.042426 Loss_G: 0.011618 Loss_D_real: -0.018343 Loss_D_fake 0.024083
[149/5000][460/535][15093] Loss_D: -0.038034 Loss_G: 0.048474 Loss_D_real: -0.048801 Loss_D_fake -0.010767
[149/5000][465/535][15094] Loss_D: -0.041427 Loss_G: 0.008050 Loss_D_real: -0.016057 Loss_D_fake 0.025370
[149/5000][470/535][15095] Loss_D: -0.039467 Loss_G: 0.031866 Loss_D_real: -0.037645 Loss_D_fake 0.001823
[149/5000][475/535][15096] Loss_D: -0.040157 Loss_G: 0.048849 Loss_D_real: -0.040405 Loss_D_fake -0.000248
[149/5000][480/535][15097] Loss_D: -0.039725 Loss_G: -0.006276 Loss_D_real: -0.010856 Loss_D_fake 0.028869
[149/5000][485/535][15098] Loss_D: -0.040467 Loss_G: 0.020318 Loss_D_real: -0.026540 Loss_D_fake 0.013928
[149/5000][490/535][15099] Loss_D: -0.042532 Loss_G: 0.023063 Loss_D_real: -0.022138 Loss_D_fake 0.020394
[149/5000][495/535][15100] Loss_D: -0.043159 Loss_G: -0.003617 Loss_D_real: -0.012494 Loss_D_fake 0.030665
[149/5000][500/535][15101] Loss_D: -0.041802 Loss_G: 0.019585 Loss_D_real: -0.030713 Loss_D_fake 0.011089
[149/5000][505/535][15102] Loss_D: -0.041659 Loss_G: 0.048738 Loss_D_real: -0.045555 Loss_D_fake -0.003896
[149/5000][510/535][15103] Loss_D: -0.039733 Loss_G: 0.011678 Loss_D_real: -0.019433 Loss_D_fake 0.020300
[149/5000][515/535][15104] Loss_D: -0.040688 Loss_G: 0.046088 Loss_D_real: -0.045458 Loss_D_fake -0.004770
[149/5000][520/535][15105] Loss_D: -0.040479 Loss_G: -0.002515 Loss_D_real: -0.008489 Loss_D_fake 0.031990
[149/5000][525/535][15106] Loss_D: -0.040592 Loss_G: 0.035887 Loss_D_real: -0.034461 Loss_D_fake 0.006130
[149/5000][530/535][15107] Loss_D: -0.040450 Loss_G: 0.006106 Loss_D_real: -0.012547 Loss_D_fake 0.027903
[149/5000][535/535][15108] Loss_D: -0.042453 Loss_G: 0.038416 Loss_D_real: -0.036325 Loss_D_fake 0.006128
[150/5000][5/535][15109] Loss_D: -0.039546 Loss_G: 0.038660 Loss_D_real: -0.036573 Loss_D_fake 0.002972
[150/5000][10/535][15110] Loss_D: -0.038629 Loss_G: 0.009234 Loss_D_real: -0.006146 Loss_D_fake 0.032483
[150/5000][15/535][15111] Loss_D: -0.041073 Loss_G: 0.030030 Loss_D_real: -0.026000 Loss_D_fake 0.015073
[150/5000][20/535][15112] Loss_D: -0.039340 Loss_G: -0.009928 Loss_D_real: -0.009998 Loss_D_fake 0.029342
[150/5000][25/535][15113] Loss_D: -0.038853 Loss_G: 0.042634 Loss_D_real: -0.047434 Loss_D_fake -0.008581
[150/5000][30/535][15114] Loss_D: -0.041541 Loss_G: -0.004465 Loss_D_real: -0.006328 Loss_D_fake 0.035212
[150/5000][35/535][15115] Loss_D: -0.039284 Loss_G: 0.024928 Loss_D_real: -0.031079 Loss_D_fake 0.008206
[150/5000][40/535][15116] Loss_D: -0.042178 Loss_G: 0.028486 Loss_D_real: -0.025640 Loss_D_fake 0.016538
[150/5000][45/535][15117] Loss_D: -0.041742 Loss_G: 0.004469 Loss_D_real: -0.009652 Loss_D_fake 0.032090
[150/5000][50/535][15118] Loss_D: -0.040026 Loss_G: 0.040691 Loss_D_real: -0.038057 Loss_D_fake 0.001969
[150/5000][55/535][15119] Loss_D: -0.040527 Loss_G: 0.004865 Loss_D_real: -0.010004 Loss_D_fake 0.030522
[150/5000][60/535][15120] Loss_D: -0.040069 Loss_G: 0.032917 Loss_D_real: -0.032437 Loss_D_fake 0.007632
[150/5000][65/535][15121] Loss_D: -0.041466 Loss_G: 0.034010 Loss_D_real: -0.035643 Loss_D_fake 0.005823
[150/5000][70/535][15122] Loss_D: -0.042183 Loss_G: 0.012499 Loss_D_real: -0.018205 Loss_D_fake 0.023978
[150/5000][75/535][15123] Loss_D: -0.038794 Loss_G: 0.041008 Loss_D_real: -0.038898 Loss_D_fake -0.000104
[150/5000][80/535][15124] Loss_D: -0.040260 Loss_G: -0.000338 Loss_D_real: -0.011657 Loss_D_fake 0.028603
[150/5000][85/535][15125] Loss_D: -0.039310 Loss_G: 0.035106 Loss_D_real: -0.035535 Loss_D_fake 0.003775
[150/5000][90/535][15126] Loss_D: -0.040018 Loss_G: 0.004797 Loss_D_real: -0.006851 Loss_D_fake 0.033168
[150/5000][95/535][15127] Loss_D: -0.040450 Loss_G: 0.020126 Loss_D_real: -0.022492 Loss_D_fake 0.017958
[150/5000][100/535][15128] Loss_D: -0.041471 Loss_G: 0.002225 Loss_D_real: -0.013188 Loss_D_fake 0.028283
[150/5000][105/535][15129] Loss_D: -0.039471 Loss_G: 0.037750 Loss_D_real: -0.039876 Loss_D_fake -0.000405
[150/5000][110/535][15130] Loss_D: -0.040599 Loss_G: 0.026939 Loss_D_real: -0.026328 Loss_D_fake 0.014271
[150/5000][115/535][15131] Loss_D: -0.040962 Loss_G: 0.039437 Loss_D_real: -0.046748 Loss_D_fake -0.005786
[150/5000][120/535][15132] Loss_D: -0.041804 Loss_G: 0.000982 Loss_D_real: -0.012443 Loss_D_fake 0.029360
[150/5000][125/535][15133] Loss_D: -0.039672 Loss_G: 0.030076 Loss_D_real: -0.036940 Loss_D_fake 0.002732
[150/5000][130/535][15134] Loss_D: -0.040634 Loss_G: 0.002035 Loss_D_real: -0.013621 Loss_D_fake 0.027013
[150/5000][135/535][15135] Loss_D: -0.039932 Loss_G: 0.011108 Loss_D_real: -0.019391 Loss_D_fake 0.020541
[150/5000][140/535][15136] Loss_D: -0.037465 Loss_G: 0.008697 Loss_D_real: -0.017337 Loss_D_fake 0.020128
[150/5000][145/535][15137] Loss_D: -0.039162 Loss_G: 0.029348 Loss_D_real: -0.030370 Loss_D_fake 0.008792
[150/5000][150/535][15138] Loss_D: -0.039755 Loss_G: 0.036155 Loss_D_real: -0.033608 Loss_D_fake 0.006147
[150/5000][155/535][15139] Loss_D: -0.041085 Loss_G: 0.037395 Loss_D_real: -0.030903 Loss_D_fake 0.010182
[150/5000][160/535][15140] Loss_D: -0.041373 Loss_G: -0.000824 Loss_D_real: -0.005041 Loss_D_fake 0.036331
[150/5000][165/535][15141] Loss_D: -0.038909 Loss_G: 0.023904 Loss_D_real: -0.023039 Loss_D_fake 0.015871
[150/5000][170/535][15142] Loss_D: -0.040494 Loss_G: 0.027949 Loss_D_real: -0.029276 Loss_D_fake 0.011219
[150/5000][175/535][15143] Loss_D: -0.038233 Loss_G: 0.035399 Loss_D_real: -0.032093 Loss_D_fake 0.006140
[150/5000][180/535][15144] Loss_D: -0.043355 Loss_G: 0.002921 Loss_D_real: -0.013190 Loss_D_fake 0.030165
[150/5000][185/535][15145] Loss_D: -0.039749 Loss_G: 0.046061 Loss_D_real: -0.039935 Loss_D_fake -0.000186
[150/5000][190/535][15146] Loss_D: -0.035459 Loss_G: -0.009028 Loss_D_real: 0.000444 Loss_D_fake 0.035903
[150/5000][195/535][15147] Loss_D: -0.040590 Loss_G: 0.017356 Loss_D_real: -0.021079 Loss_D_fake 0.019510
[150/5000][200/535][15148] Loss_D: -0.039251 Loss_G: 0.009263 Loss_D_real: -0.013126 Loss_D_fake 0.026125
[150/5000][205/535][15149] Loss_D: -0.040105 Loss_G: 0.002036 Loss_D_real: -0.019370 Loss_D_fake 0.020735
[150/5000][210/535][15150] Loss_D: -0.038672 Loss_G: 0.040720 Loss_D_real: -0.043237 Loss_D_fake -0.004565
[150/5000][215/535][15151] Loss_D: -0.039076 Loss_G: 0.006129 Loss_D_real: -0.012819 Loss_D_fake 0.026257
[150/5000][220/535][15152] Loss_D: -0.039603 Loss_G: 0.043717 Loss_D_real: -0.047712 Loss_D_fake -0.008109
[150/5000][225/535][15153] Loss_D: -0.040105 Loss_G: 0.000136 Loss_D_real: -0.011634 Loss_D_fake 0.028471
[150/5000][230/535][15154] Loss_D: -0.041752 Loss_G: 0.030392 Loss_D_real: -0.032095 Loss_D_fake 0.009656
[150/5000][235/535][15155] Loss_D: -0.040124 Loss_G: 0.030628 Loss_D_real: -0.036263 Loss_D_fake 0.003861
[150/5000][240/535][15156] Loss_D: -0.040512 Loss_G: 0.029762 Loss_D_real: -0.037814 Loss_D_fake 0.002697
[150/5000][245/535][15157] Loss_D: -0.041800 Loss_G: 0.044712 Loss_D_real: -0.031699 Loss_D_fake 0.010100
[150/5000][250/535][15158] Loss_D: -0.040521 Loss_G: 0.015052 Loss_D_real: -0.016461 Loss_D_fake 0.024060
[150/5000][255/535][15159] Loss_D: -0.039258 Loss_G: 0.050936 Loss_D_real: -0.048097 Loss_D_fake -0.008840
[150/5000][260/535][15160] Loss_D: -0.040757 Loss_G: 0.018366 Loss_D_real: -0.023766 Loss_D_fake 0.016990
[150/5000][265/535][15161] Loss_D: -0.041095 Loss_G: 0.009344 Loss_D_real: -0.019132 Loss_D_fake 0.021963
[150/5000][270/535][15162] Loss_D: -0.040200 Loss_G: 0.023583 Loss_D_real: -0.026595 Loss_D_fake 0.013605
[150/5000][275/535][15163] Loss_D: -0.040183 Loss_G: 0.031442 Loss_D_real: -0.035228 Loss_D_fake 0.004955
[150/5000][280/535][15164] Loss_D: -0.039859 Loss_G: -0.009486 Loss_D_real: -0.003468 Loss_D_fake 0.036392
[150/5000][285/535][15165] Loss_D: -0.039916 Loss_G: 0.009303 Loss_D_real: -0.016296 Loss_D_fake 0.023620
[150/5000][290/535][15166] Loss_D: -0.039829 Loss_G: 0.030181 Loss_D_real: -0.031969 Loss_D_fake 0.007860
[150/5000][295/535][15167] Loss_D: -0.040898 Loss_G: -0.001931 Loss_D_real: -0.016048 Loss_D_fake 0.024850
[150/5000][300/535][15168] Loss_D: -0.040419 Loss_G: 0.040794 Loss_D_real: -0.033929 Loss_D_fake 0.006490
[150/5000][305/535][15169] Loss_D: -0.039539 Loss_G: 0.007418 Loss_D_real: -0.014248 Loss_D_fake 0.025291
[150/5000][310/535][15170] Loss_D: -0.040989 Loss_G: 0.035857 Loss_D_real: -0.033487 Loss_D_fake 0.007502
[150/5000][315/535][15171] Loss_D: -0.040083 Loss_G: -0.005487 Loss_D_real: -0.005376 Loss_D_fake 0.034707
[150/5000][320/535][15172] Loss_D: -0.040220 Loss_G: 0.019425 Loss_D_real: -0.026378 Loss_D_fake 0.013841
[150/5000][325/535][15173] Loss_D: -0.039775 Loss_G: 0.013199 Loss_D_real: -0.020142 Loss_D_fake 0.019632
[150/5000][330/535][15174] Loss_D: -0.039276 Loss_G: 0.028764 Loss_D_real: -0.027067 Loss_D_fake 0.012210
[150/5000][335/535][15175] Loss_D: -0.039401 Loss_G: 0.006362 Loss_D_real: -0.013450 Loss_D_fake 0.025951
[150/5000][340/535][15176] Loss_D: -0.040381 Loss_G: 0.022624 Loss_D_real: -0.019044 Loss_D_fake 0.021336
[150/5000][345/535][15177] Loss_D: -0.040633 Loss_G: 0.016961 Loss_D_real: -0.023042 Loss_D_fake 0.017591
[150/5000][350/535][15178] Loss_D: -0.040757 Loss_G: 0.037407 Loss_D_real: -0.040634 Loss_D_fake 0.000123
[150/5000][355/535][15179] Loss_D: -0.040588 Loss_G: 0.038449 Loss_D_real: -0.033581 Loss_D_fake 0.007007
[150/5000][360/535][15180] Loss_D: -0.040753 Loss_G: 0.032426 Loss_D_real: -0.032626 Loss_D_fake 0.008128
[150/5000][365/535][15181] Loss_D: -0.041998 Loss_G: 0.018462 Loss_D_real: -0.024640 Loss_D_fake 0.017358
[150/5000][370/535][15182] Loss_D: -0.041772 Loss_G: 0.023179 Loss_D_real: -0.027416 Loss_D_fake 0.014356
[150/5000][375/535][15183] Loss_D: -0.041428 Loss_G: -0.000759 Loss_D_real: -0.011409 Loss_D_fake 0.030019
[150/5000][380/535][15184] Loss_D: -0.037789 Loss_G: 0.042722 Loss_D_real: -0.048083 Loss_D_fake -0.010294
[150/5000][385/535][15185] Loss_D: -0.041678 Loss_G: -0.005696 Loss_D_real: -0.008962 Loss_D_fake 0.032716
[150/5000][390/535][15186] Loss_D: -0.040042 Loss_G: 0.025359 Loss_D_real: -0.029516 Loss_D_fake 0.010526
[150/5000][395/535][15187] Loss_D: -0.040359 Loss_G: 0.016321 Loss_D_real: -0.016846 Loss_D_fake 0.023512
[150/5000][400/535][15188] Loss_D: -0.040151 Loss_G: 0.029870 Loss_D_real: -0.030841 Loss_D_fake 0.009310
[150/5000][405/535][15189] Loss_D: -0.039863 Loss_G: -0.007983 Loss_D_real: 0.000650 Loss_D_fake 0.040513
[150/5000][410/535][15190] Loss_D: -0.039036 Loss_G: 0.028914 Loss_D_real: -0.035378 Loss_D_fake 0.003659
[150/5000][415/535][15191] Loss_D: -0.041147 Loss_G: 0.034622 Loss_D_real: -0.029260 Loss_D_fake 0.011886
[150/5000][420/535][15192] Loss_D: -0.043221 Loss_G: 0.004428 Loss_D_real: -0.005684 Loss_D_fake 0.037537
[150/5000][425/535][15193] Loss_D: -0.040057 Loss_G: 0.000133 Loss_D_real: -0.014472 Loss_D_fake 0.025584
[150/5000][430/535][15194] Loss_D: -0.039687 Loss_G: 0.046085 Loss_D_real: -0.038549 Loss_D_fake 0.001137
[150/5000][435/535][15195] Loss_D: -0.040544 Loss_G: 0.005495 Loss_D_real: -0.011034 Loss_D_fake 0.029509
[150/5000][440/535][15196] Loss_D: -0.039036 Loss_G: 0.021372 Loss_D_real: -0.029253 Loss_D_fake 0.009782
[150/5000][445/535][15197] Loss_D: -0.041660 Loss_G: 0.027063 Loss_D_real: -0.023817 Loss_D_fake 0.017843
[150/5000][450/535][15198] Loss_D: -0.039707 Loss_G: 0.041301 Loss_D_real: -0.040449 Loss_D_fake -0.000742
[150/5000][455/535][15199] Loss_D: -0.042624 Loss_G: 0.006806 Loss_D_real: -0.018757 Loss_D_fake 0.023867
[150/5000][460/535][15200] Loss_D: -0.040451 Loss_G: 0.042036 Loss_D_real: -0.041975 Loss_D_fake -0.001524
[150/5000][465/535][15201] Loss_D: -0.041529 Loss_G: 0.024398 Loss_D_real: -0.019079 Loss_D_fake 0.022449
[150/5000][470/535][15202] Loss_D: -0.041476 Loss_G: 0.007218 Loss_D_real: -0.018711 Loss_D_fake 0.022765
[150/5000][475/535][15203] Loss_D: -0.041650 Loss_G: 0.011660 Loss_D_real: -0.023526 Loss_D_fake 0.018125
[150/5000][480/535][15204] Loss_D: -0.041191 Loss_G: 0.035286 Loss_D_real: -0.033066 Loss_D_fake 0.008124
[150/5000][485/535][15205] Loss_D: -0.038728 Loss_G: -0.016000 Loss_D_real: 0.000382 Loss_D_fake 0.039110
[150/5000][490/535][15206] Loss_D: -0.035189 Loss_G: 0.050602 Loss_D_real: -0.046952 Loss_D_fake -0.011762
[150/5000][495/535][15207] Loss_D: -0.037986 Loss_G: -0.001212 Loss_D_real: -0.016348 Loss_D_fake 0.021637
[150/5000][500/535][15208] Loss_D: -0.037726 Loss_G: 0.036647 Loss_D_real: -0.038994 Loss_D_fake -0.001268
[150/5000][505/535][15209] Loss_D: -0.042177 Loss_G: 0.037766 Loss_D_real: -0.035995 Loss_D_fake 0.006182
[150/5000][510/535][15210] Loss_D: -0.041678 Loss_G: -0.008519 Loss_D_real: -0.012711 Loss_D_fake 0.028967
[150/5000][515/535][15211] Loss_D: -0.040340 Loss_G: 0.021895 Loss_D_real: -0.021306 Loss_D_fake 0.019034
[150/5000][520/535][15212] Loss_D: -0.040413 Loss_G: 0.018406 Loss_D_real: -0.020525 Loss_D_fake 0.019888
[150/5000][525/535][15213] Loss_D: -0.040291 Loss_G: 0.025304 Loss_D_real: -0.026999 Loss_D_fake 0.013292
[150/5000][530/535][15214] Loss_D: -0.040108 Loss_G: 0.040103 Loss_D_real: -0.033695 Loss_D_fake 0.006413
[150/5000][535/535][15215] Loss_D: -0.041909 Loss_G: -0.013051 Loss_D_real: -0.025201 Loss_D_fake 0.016708
[151/5000][5/535][15216] Loss_D: -0.037402 Loss_G: 0.033267 Loss_D_real: -0.030098 Loss_D_fake 0.007304
[151/5000][10/535][15217] Loss_D: -0.037687 Loss_G: 0.002222 Loss_D_real: -0.011098 Loss_D_fake 0.026590
[151/5000][15/535][15218] Loss_D: -0.038433 Loss_G: 0.037815 Loss_D_real: -0.038090 Loss_D_fake 0.000342
[151/5000][20/535][15219] Loss_D: -0.039798 Loss_G: 0.007083 Loss_D_real: -0.005167 Loss_D_fake 0.034631
[151/5000][25/535][15220] Loss_D: -0.039153 Loss_G: 0.045882 Loss_D_real: -0.037866 Loss_D_fake 0.001288
[151/5000][30/535][15221] Loss_D: -0.039967 Loss_G: 0.005229 Loss_D_real: -0.011364 Loss_D_fake 0.028603
[151/5000][35/535][15222] Loss_D: -0.038463 Loss_G: 0.038278 Loss_D_real: -0.035229 Loss_D_fake 0.003234
[151/5000][40/535][15223] Loss_D: -0.043196 Loss_G: 0.008832 Loss_D_real: -0.019526 Loss_D_fake 0.023669
[151/5000][45/535][15224] Loss_D: -0.039799 Loss_G: 0.025316 Loss_D_real: -0.036660 Loss_D_fake 0.003140
[151/5000][50/535][15225] Loss_D: -0.042089 Loss_G: 0.039053 Loss_D_real: -0.036021 Loss_D_fake 0.006068
[151/5000][55/535][15226] Loss_D: -0.041049 Loss_G: 0.033614 Loss_D_real: -0.029605 Loss_D_fake 0.011444
[151/5000][60/535][15227] Loss_D: -0.042941 Loss_G: 0.028032 Loss_D_real: -0.028740 Loss_D_fake 0.014202
[151/5000][65/535][15228] Loss_D: -0.040233 Loss_G: 0.006325 Loss_D_real: -0.009919 Loss_D_fake 0.030314
[151/5000][70/535][15229] Loss_D: -0.037431 Loss_G: 0.049104 Loss_D_real: -0.049447 Loss_D_fake -0.012016
[151/5000][75/535][15230] Loss_D: -0.040177 Loss_G: 0.002508 Loss_D_real: -0.011152 Loss_D_fake 0.029025
[151/5000][80/535][15231] Loss_D: -0.038637 Loss_G: 0.033109 Loss_D_real: -0.031460 Loss_D_fake 0.007177
[151/5000][85/535][15232] Loss_D: -0.039323 Loss_G: 0.017205 Loss_D_real: -0.016892 Loss_D_fake 0.022431
[151/5000][90/535][15233] Loss_D: -0.043648 Loss_G: 0.029747 Loss_D_real: -0.031769 Loss_D_fake 0.011879
[151/5000][95/535][15234] Loss_D: -0.040948 Loss_G: 0.030469 Loss_D_real: -0.027565 Loss_D_fake 0.013382
[151/5000][100/535][15235] Loss_D: -0.041889 Loss_G: -0.005876 Loss_D_real: -0.011084 Loss_D_fake 0.030805
[151/5000][105/535][15236] Loss_D: -0.041528 Loss_G: 0.025600 Loss_D_real: -0.026994 Loss_D_fake 0.014534
[151/5000][110/535][15237] Loss_D: -0.041117 Loss_G: 0.018635 Loss_D_real: -0.019877 Loss_D_fake 0.021240
[151/5000][115/535][15238] Loss_D: -0.041443 Loss_G: 0.014240 Loss_D_real: -0.016780 Loss_D_fake 0.024663
[151/5000][120/535][15239] Loss_D: -0.038124 Loss_G: 0.050425 Loss_D_real: -0.036823 Loss_D_fake 0.001301
[151/5000][125/535][15240] Loss_D: -0.040384 Loss_G: 0.021162 Loss_D_real: -0.031836 Loss_D_fake 0.008548
[151/5000][130/535][15241] Loss_D: -0.041498 Loss_G: 0.011833 Loss_D_real: -0.020001 Loss_D_fake 0.021498
[151/5000][135/535][15242] Loss_D: -0.039713 Loss_G: 0.017413 Loss_D_real: -0.019165 Loss_D_fake 0.020548
[151/5000][140/535][15243] Loss_D: -0.037667 Loss_G: 0.003624 Loss_D_real: -0.006460 Loss_D_fake 0.031207
[151/5000][145/535][15244] Loss_D: -0.038878 Loss_G: 0.042569 Loss_D_real: -0.035041 Loss_D_fake 0.003837
[151/5000][150/535][15245] Loss_D: -0.040684 Loss_G: -0.002604 Loss_D_real: -0.009577 Loss_D_fake 0.031107
[151/5000][155/535][15246] Loss_D: -0.038802 Loss_G: 0.046809 Loss_D_real: -0.043050 Loss_D_fake -0.004248
[151/5000][160/535][15247] Loss_D: -0.040011 Loss_G: 0.008192 Loss_D_real: -0.011986 Loss_D_fake 0.028025
[151/5000][165/535][15248] Loss_D: -0.040170 Loss_G: 0.029780 Loss_D_real: -0.035709 Loss_D_fake 0.004461
[151/5000][170/535][15249] Loss_D: -0.038934 Loss_G: 0.000124 Loss_D_real: -0.014601 Loss_D_fake 0.024333
[151/5000][175/535][15250] Loss_D: -0.039416 Loss_G: 0.030814 Loss_D_real: -0.032659 Loss_D_fake 0.006757
[151/5000][180/535][15251] Loss_D: -0.040769 Loss_G: 0.017849 Loss_D_real: -0.019050 Loss_D_fake 0.021719
[151/5000][185/535][15252] Loss_D: -0.041081 Loss_G: 0.030277 Loss_D_real: -0.026355 Loss_D_fake 0.014726
[151/5000][190/535][15253] Loss_D: -0.040384 Loss_G: 0.014028 Loss_D_real: -0.021613 Loss_D_fake 0.018770
[151/5000][195/535][15254] Loss_D: -0.040157 Loss_G: 0.018878 Loss_D_real: -0.023554 Loss_D_fake 0.016603
[151/5000][200/535][15255] Loss_D: -0.039686 Loss_G: 0.036714 Loss_D_real: -0.037825 Loss_D_fake 0.001862
[151/5000][205/535][15256] Loss_D: -0.041250 Loss_G: 0.000349 Loss_D_real: -0.010987 Loss_D_fake 0.030263
[151/5000][210/535][15257] Loss_D: -0.038712 Loss_G: 0.047790 Loss_D_real: -0.037692 Loss_D_fake 0.001021
[151/5000][215/535][15258] Loss_D: -0.041394 Loss_G: 0.003514 Loss_D_real: -0.012783 Loss_D_fake 0.028611
[151/5000][220/535][15259] Loss_D: -0.039218 Loss_G: 0.034991 Loss_D_real: -0.026373 Loss_D_fake 0.012845
[151/5000][225/535][15260] Loss_D: -0.038168 Loss_G: 0.030384 Loss_D_real: -0.037363 Loss_D_fake 0.000805
[151/5000][230/535][15261] Loss_D: -0.041890 Loss_G: 0.003603 Loss_D_real: -0.014935 Loss_D_fake 0.026956
[151/5000][235/535][15262] Loss_D: -0.038862 Loss_G: 0.035626 Loss_D_real: -0.039389 Loss_D_fake -0.000527
[151/5000][240/535][15263] Loss_D: -0.041084 Loss_G: 0.033151 Loss_D_real: -0.032281 Loss_D_fake 0.008803
[151/5000][245/535][15264] Loss_D: -0.040765 Loss_G: 0.029173 Loss_D_real: -0.032193 Loss_D_fake 0.008572
[151/5000][250/535][15265] Loss_D: -0.042656 Loss_G: -0.012247 Loss_D_real: -0.014453 Loss_D_fake 0.028204
[151/5000][255/535][15266] Loss_D: -0.039125 Loss_G: 0.033292 Loss_D_real: -0.040090 Loss_D_fake -0.000965
[151/5000][260/535][15267] Loss_D: -0.040035 Loss_G: 0.007373 Loss_D_real: -0.008260 Loss_D_fake 0.031775
[151/5000][265/535][15268] Loss_D: -0.038421 Loss_G: 0.037361 Loss_D_real: -0.035909 Loss_D_fake 0.002512
[151/5000][270/535][15269] Loss_D: -0.041010 Loss_G: 0.013622 Loss_D_real: -0.023795 Loss_D_fake 0.017216
[151/5000][275/535][15270] Loss_D: -0.038533 Loss_G: 0.040429 Loss_D_real: -0.040456 Loss_D_fake -0.001923
[151/5000][280/535][15271] Loss_D: -0.040196 Loss_G: -0.003801 Loss_D_real: -0.005369 Loss_D_fake 0.034827
[151/5000][285/535][15272] Loss_D: -0.038726 Loss_G: 0.027756 Loss_D_real: -0.030583 Loss_D_fake 0.008143
[151/5000][290/535][15273] Loss_D: -0.038935 Loss_G: 0.018662 Loss_D_real: -0.029211 Loss_D_fake 0.009724
[151/5000][295/535][15274] Loss_D: -0.040348 Loss_G: 0.016537 Loss_D_real: -0.019673 Loss_D_fake 0.020675
[151/5000][300/535][15275] Loss_D: -0.039367 Loss_G: 0.007345 Loss_D_real: -0.020051 Loss_D_fake 0.019316
[151/5000][305/535][15276] Loss_D: -0.038878 Loss_G: 0.041122 Loss_D_real: -0.043210 Loss_D_fake -0.004333
[151/5000][310/535][15277] Loss_D: -0.040207 Loss_G: -0.008271 Loss_D_real: -0.006824 Loss_D_fake 0.033383
[151/5000][315/535][15278] Loss_D: -0.037585 Loss_G: 0.040850 Loss_D_real: -0.031565 Loss_D_fake 0.006021
[151/5000][320/535][15279] Loss_D: -0.038609 Loss_G: -0.007177 Loss_D_real: -0.002030 Loss_D_fake 0.036579
[151/5000][325/535][15280] Loss_D: -0.038299 Loss_G: 0.015617 Loss_D_real: -0.022354 Loss_D_fake 0.015945
[151/5000][330/535][15281] Loss_D: -0.040093 Loss_G: 0.016309 Loss_D_real: -0.023721 Loss_D_fake 0.016372
[151/5000][335/535][15282] Loss_D: -0.040983 Loss_G: 0.013918 Loss_D_real: -0.017403 Loss_D_fake 0.023580
[151/5000][340/535][15283] Loss_D: -0.041997 Loss_G: 0.023528 Loss_D_real: -0.024021 Loss_D_fake 0.017976
[151/5000][345/535][15284] Loss_D: -0.044297 Loss_G: 0.037490 Loss_D_real: -0.032626 Loss_D_fake 0.011670
[151/5000][350/535][15285] Loss_D: -0.041161 Loss_G: 0.020417 Loss_D_real: -0.025908 Loss_D_fake 0.015253
[151/5000][355/535][15286] Loss_D: -0.039280 Loss_G: 0.040029 Loss_D_real: -0.037360 Loss_D_fake 0.001921
[151/5000][360/535][15287] Loss_D: -0.041278 Loss_G: -0.012213 Loss_D_real: 0.002194 Loss_D_fake 0.043472
[151/5000][365/535][15288] Loss_D: -0.038744 Loss_G: 0.033548 Loss_D_real: -0.043968 Loss_D_fake -0.005224
[151/5000][370/535][15289] Loss_D: -0.041317 Loss_G: 0.007732 Loss_D_real: -0.015403 Loss_D_fake 0.025914
[151/5000][375/535][15290] Loss_D: -0.040938 Loss_G: 0.017561 Loss_D_real: -0.023780 Loss_D_fake 0.017159
[151/5000][380/535][15291] Loss_D: -0.042337 Loss_G: 0.030917 Loss_D_real: -0.029553 Loss_D_fake 0.012784
[151/5000][385/535][15292] Loss_D: -0.042041 Loss_G: 0.026764 Loss_D_real: -0.027395 Loss_D_fake 0.014646
[151/5000][390/535][15293] Loss_D: -0.038355 Loss_G: 0.021125 Loss_D_real: -0.030076 Loss_D_fake 0.008279
[151/5000][395/535][15294] Loss_D: -0.040420 Loss_G: 0.027132 Loss_D_real: -0.024282 Loss_D_fake 0.016139
[151/5000][400/535][15295] Loss_D: -0.039886 Loss_G: 0.003124 Loss_D_real: -0.020894 Loss_D_fake 0.018991
[151/5000][405/535][15296] Loss_D: -0.040961 Loss_G: 0.042183 Loss_D_real: -0.033605 Loss_D_fake 0.007357
[151/5000][410/535][15297] Loss_D: -0.040732 Loss_G: 0.002041 Loss_D_real: -0.014116 Loss_D_fake 0.026616
[151/5000][415/535][15298] Loss_D: -0.039857 Loss_G: 0.042111 Loss_D_real: -0.042031 Loss_D_fake -0.002175
[151/5000][420/535][15299] Loss_D: -0.039391 Loss_G: 0.004645 Loss_D_real: -0.011140 Loss_D_fake 0.028251
[151/5000][425/535][15300] Loss_D: -0.040816 Loss_G: 0.037688 Loss_D_real: -0.034966 Loss_D_fake 0.005850
[151/5000][430/535][15301] Loss_D: -0.040202 Loss_G: 0.016231 Loss_D_real: -0.016200 Loss_D_fake 0.024002
[151/5000][435/535][15302] Loss_D: -0.039333 Loss_G: 0.030870 Loss_D_real: -0.030310 Loss_D_fake 0.009023
[151/5000][440/535][15303] Loss_D: -0.039531 Loss_G: 0.023510 Loss_D_real: -0.021641 Loss_D_fake 0.017890
[151/5000][445/535][15304] Loss_D: -0.039958 Loss_G: 0.035678 Loss_D_real: -0.027160 Loss_D_fake 0.012798
[151/5000][450/535][15305] Loss_D: -0.041908 Loss_G: 0.040503 Loss_D_real: -0.032818 Loss_D_fake 0.009090
[151/5000][455/535][15306] Loss_D: -0.041182 Loss_G: 0.012545 Loss_D_real: -0.016662 Loss_D_fake 0.024519
[151/5000][460/535][15307] Loss_D: -0.039444 Loss_G: 0.034928 Loss_D_real: -0.039070 Loss_D_fake 0.000374
[151/5000][465/535][15308] Loss_D: -0.041909 Loss_G: 0.003845 Loss_D_real: -0.013900 Loss_D_fake 0.028009
[151/5000][470/535][15309] Loss_D: -0.038193 Loss_G: 0.044574 Loss_D_real: -0.047943 Loss_D_fake -0.009751
[151/5000][475/535][15310] Loss_D: -0.039495 Loss_G: -0.003121 Loss_D_real: -0.004813 Loss_D_fake 0.034682
[151/5000][480/535][15311] Loss_D: -0.038132 Loss_G: 0.039583 Loss_D_real: -0.038647 Loss_D_fake -0.000515
[151/5000][485/535][15312] Loss_D: -0.037531 Loss_G: -0.003568 Loss_D_real: -0.002053 Loss_D_fake 0.035478
[151/5000][490/535][15313] Loss_D: -0.037951 Loss_G: 0.026236 Loss_D_real: -0.035248 Loss_D_fake 0.002703
[151/5000][495/535][15314] Loss_D: -0.038773 Loss_G: 0.002038 Loss_D_real: -0.010639 Loss_D_fake 0.028134
[151/5000][500/535][15315] Loss_D: -0.040665 Loss_G: 0.013481 Loss_D_real: -0.021179 Loss_D_fake 0.019486
[151/5000][505/535][15316] Loss_D: -0.037883 Loss_G: 0.049015 Loss_D_real: -0.047606 Loss_D_fake -0.009722
[151/5000][510/535][15317] Loss_D: -0.040395 Loss_G: -0.001114 Loss_D_real: -0.005968 Loss_D_fake 0.034427
[151/5000][515/535][15318] Loss_D: -0.038977 Loss_G: 0.034303 Loss_D_real: -0.032410 Loss_D_fake 0.006567
[151/5000][520/535][15319] Loss_D: -0.040340 Loss_G: 0.021893 Loss_D_real: -0.023109 Loss_D_fake 0.017231
[151/5000][525/535][15320] Loss_D: -0.044334 Loss_G: 0.013921 Loss_D_real: -0.019778 Loss_D_fake 0.024557
[151/5000][530/535][15321] Loss_D: -0.038828 Loss_G: 0.046183 Loss_D_real: -0.041520 Loss_D_fake -0.002692
[151/5000][535/535][15322] Loss_D: -0.037123 Loss_G: 0.003068 Loss_D_real: 0.001810 Loss_D_fake 0.038932
[152/5000][5/535][15323] Loss_D: -0.041412 Loss_G: 0.016419 Loss_D_real: -0.023991 Loss_D_fake 0.017421
[152/5000][10/535][15324] Loss_D: -0.040816 Loss_G: 0.029454 Loss_D_real: -0.035188 Loss_D_fake 0.005628
[152/5000][15/535][15325] Loss_D: -0.042778 Loss_G: 0.029616 Loss_D_real: -0.030537 Loss_D_fake 0.012240
[152/5000][20/535][15326] Loss_D: -0.041601 Loss_G: -0.003814 Loss_D_real: -0.006001 Loss_D_fake 0.035600
[152/5000][25/535][15327] Loss_D: -0.039041 Loss_G: 0.005229 Loss_D_real: -0.021257 Loss_D_fake 0.017784
[152/5000][30/535][15328] Loss_D: -0.038091 Loss_G: 0.034739 Loss_D_real: -0.032133 Loss_D_fake 0.005958
[152/5000][35/535][15329] Loss_D: -0.038129 Loss_G: 0.002854 Loss_D_real: -0.005889 Loss_D_fake 0.032241
[152/5000][40/535][15330] Loss_D: -0.040640 Loss_G: 0.025150 Loss_D_real: -0.025202 Loss_D_fake 0.015437
[152/5000][45/535][15331] Loss_D: -0.039912 Loss_G: 0.004204 Loss_D_real: -0.013079 Loss_D_fake 0.026833
[152/5000][50/535][15332] Loss_D: -0.040060 Loss_G: 0.015753 Loss_D_real: -0.028817 Loss_D_fake 0.011243
[152/5000][55/535][15333] Loss_D: -0.039587 Loss_G: 0.038151 Loss_D_real: -0.039960 Loss_D_fake -0.000373
[152/5000][60/535][15334] Loss_D: -0.040311 Loss_G: 0.007296 Loss_D_real: -0.011215 Loss_D_fake 0.029096
[152/5000][65/535][15335] Loss_D: -0.038231 Loss_G: 0.029076 Loss_D_real: -0.033368 Loss_D_fake 0.004863
[152/5000][70/535][15336] Loss_D: -0.038180 Loss_G: -0.000636 Loss_D_real: -0.007954 Loss_D_fake 0.030225
[152/5000][75/535][15337] Loss_D: -0.039047 Loss_G: 0.018260 Loss_D_real: -0.032573 Loss_D_fake 0.006473
[152/5000][80/535][15338] Loss_D: -0.039549 Loss_G: 0.037613 Loss_D_real: -0.039886 Loss_D_fake -0.000337
[152/5000][85/535][15339] Loss_D: -0.040094 Loss_G: 0.022334 Loss_D_real: -0.016496 Loss_D_fake 0.023598
[152/5000][90/535][15340] Loss_D: -0.038818 Loss_G: 0.022002 Loss_D_real: -0.020747 Loss_D_fake 0.018071
[152/5000][95/535][15341] Loss_D: -0.037887 Loss_G: -0.001117 Loss_D_real: -0.009632 Loss_D_fake 0.028255
[152/5000][100/535][15342] Loss_D: -0.037034 Loss_G: 0.026970 Loss_D_real: -0.028517 Loss_D_fake 0.008517
[152/5000][105/535][15343] Loss_D: -0.037930 Loss_G: 0.005858 Loss_D_real: -0.017987 Loss_D_fake 0.019942
[152/5000][110/535][15344] Loss_D: -0.039833 Loss_G: 0.036991 Loss_D_real: -0.035131 Loss_D_fake 0.004703
[152/5000][115/535][15345] Loss_D: -0.038422 Loss_G: 0.002899 Loss_D_real: -0.011138 Loss_D_fake 0.027284
[152/5000][120/535][15346] Loss_D: -0.037714 Loss_G: 0.039419 Loss_D_real: -0.043444 Loss_D_fake -0.005730
[152/5000][125/535][15347] Loss_D: -0.041165 Loss_G: 0.007655 Loss_D_real: -0.014474 Loss_D_fake 0.026691
[152/5000][130/535][15348] Loss_D: -0.036604 Loss_G: 0.036609 Loss_D_real: -0.044771 Loss_D_fake -0.008167
[152/5000][135/535][15349] Loss_D: -0.040718 Loss_G: 0.019327 Loss_D_real: -0.021559 Loss_D_fake 0.019159
[152/5000][140/535][15350] Loss_D: -0.040895 Loss_G: 0.044080 Loss_D_real: -0.042143 Loss_D_fake -0.001248
[152/5000][145/535][15351] Loss_D: -0.039419 Loss_G: 0.016129 Loss_D_real: -0.020172 Loss_D_fake 0.019247
[152/5000][150/535][15352] Loss_D: -0.039462 Loss_G: 0.043445 Loss_D_real: -0.041353 Loss_D_fake -0.001891
[152/5000][155/535][15353] Loss_D: -0.041900 Loss_G: 0.003889 Loss_D_real: -0.009628 Loss_D_fake 0.032273
[152/5000][160/535][15354] Loss_D: -0.038962 Loss_G: 0.034567 Loss_D_real: -0.032745 Loss_D_fake 0.006217
[152/5000][165/535][15355] Loss_D: -0.042373 Loss_G: 0.018224 Loss_D_real: -0.019351 Loss_D_fake 0.023022
[152/5000][170/535][15356] Loss_D: -0.042431 Loss_G: 0.043360 Loss_D_real: -0.036659 Loss_D_fake 0.005772
[152/5000][175/535][15357] Loss_D: -0.042097 Loss_G: 0.009166 Loss_D_real: -0.019514 Loss_D_fake 0.022584
[152/5000][180/535][15358] Loss_D: -0.042267 Loss_G: 0.036311 Loss_D_real: -0.038240 Loss_D_fake 0.004027
[152/5000][185/535][15359] Loss_D: -0.041516 Loss_G: 0.037219 Loss_D_real: -0.039619 Loss_D_fake 0.001897
[152/5000][190/535][15360] Loss_D: -0.040541 Loss_G: -0.011240 Loss_D_real: 0.001000 Loss_D_fake 0.041541
[152/5000][195/535][15361] Loss_D: -0.038842 Loss_G: 0.005026 Loss_D_real: -0.022790 Loss_D_fake 0.016052
[152/5000][200/535][15362] Loss_D: -0.038206 Loss_G: 0.039553 Loss_D_real: -0.039694 Loss_D_fake -0.001489
[152/5000][205/535][15363] Loss_D: -0.040791 Loss_G: -0.002268 Loss_D_real: -0.009838 Loss_D_fake 0.030953
[152/5000][210/535][15364] Loss_D: -0.040417 Loss_G: 0.043685 Loss_D_real: -0.044076 Loss_D_fake -0.003659
[152/5000][215/535][15365] Loss_D: -0.040551 Loss_G: 0.037718 Loss_D_real: -0.031580 Loss_D_fake 0.008971
[152/5000][220/535][15366] Loss_D: -0.042075 Loss_G: 0.006236 Loss_D_real: -0.015811 Loss_D_fake 0.026264
[152/5000][225/535][15367] Loss_D: -0.040886 Loss_G: 0.034150 Loss_D_real: -0.036332 Loss_D_fake 0.004555
[152/5000][230/535][15368] Loss_D: -0.041338 Loss_G: 0.012079 Loss_D_real: -0.017707 Loss_D_fake 0.023631
[152/5000][235/535][15369] Loss_D: -0.041261 Loss_G: 0.001734 Loss_D_real: -0.012184 Loss_D_fake 0.029077
[152/5000][240/535][15370] Loss_D: -0.040710 Loss_G: 0.038481 Loss_D_real: -0.036755 Loss_D_fake 0.003956
[152/5000][245/535][15371] Loss_D: -0.036538 Loss_G: 0.050303 Loss_D_real: -0.046332 Loss_D_fake -0.009793
[152/5000][250/535][15372] Loss_D: -0.041805 Loss_G: 0.008743 Loss_D_real: -0.019690 Loss_D_fake 0.022115
[152/5000][255/535][15373] Loss_D: -0.038887 Loss_G: 0.034170 Loss_D_real: -0.037109 Loss_D_fake 0.001778
[152/5000][260/535][15374] Loss_D: -0.041232 Loss_G: 0.002600 Loss_D_real: -0.015876 Loss_D_fake 0.025356
[152/5000][265/535][15375] Loss_D: -0.038222 Loss_G: 0.049188 Loss_D_real: -0.046742 Loss_D_fake -0.008520
[152/5000][270/535][15376] Loss_D: -0.040773 Loss_G: 0.000007 Loss_D_real: -0.013793 Loss_D_fake 0.026980
[152/5000][275/535][15377] Loss_D: -0.041560 Loss_G: 0.025106 Loss_D_real: -0.031832 Loss_D_fake 0.009728
[152/5000][280/535][15378] Loss_D: -0.040094 Loss_G: 0.037983 Loss_D_real: -0.036528 Loss_D_fake 0.003566
[152/5000][285/535][15379] Loss_D: -0.039428 Loss_G: 0.003741 Loss_D_real: -0.008373 Loss_D_fake 0.031055
[152/5000][290/535][15380] Loss_D: -0.041938 Loss_G: 0.012370 Loss_D_real: -0.017862 Loss_D_fake 0.024076
[152/5000][295/535][15381] Loss_D: -0.037572 Loss_G: 0.045955 Loss_D_real: -0.044989 Loss_D_fake -0.007416
[152/5000][300/535][15382] Loss_D: -0.040064 Loss_G: -0.011164 Loss_D_real: -0.002552 Loss_D_fake 0.037512
[152/5000][305/535][15383] Loss_D: -0.039262 Loss_G: 0.035954 Loss_D_real: -0.033155 Loss_D_fake 0.006107
[152/5000][310/535][15384] Loss_D: -0.042942 Loss_G: 0.014769 Loss_D_real: -0.020832 Loss_D_fake 0.022110
[152/5000][315/535][15385] Loss_D: -0.039939 Loss_G: 0.003518 Loss_D_real: -0.021406 Loss_D_fake 0.018533
[152/5000][320/535][15386] Loss_D: -0.039699 Loss_G: 0.024328 Loss_D_real: -0.021799 Loss_D_fake 0.017900
[152/5000][325/535][15387] Loss_D: -0.039190 Loss_G: 0.018993 Loss_D_real: -0.019650 Loss_D_fake 0.019540
[152/5000][330/535][15388] Loss_D: -0.039341 Loss_G: 0.028830 Loss_D_real: -0.026879 Loss_D_fake 0.012462
[152/5000][335/535][15389] Loss_D: -0.039634 Loss_G: 0.000151 Loss_D_real: -0.014057 Loss_D_fake 0.025577
[152/5000][340/535][15390] Loss_D: -0.042084 Loss_G: 0.028890 Loss_D_real: -0.029919 Loss_D_fake 0.012165
[152/5000][345/535][15391] Loss_D: -0.042198 Loss_G: 0.012658 Loss_D_real: -0.016887 Loss_D_fake 0.025311
[152/5000][350/535][15392] Loss_D: -0.042360 Loss_G: 0.006639 Loss_D_real: -0.020229 Loss_D_fake 0.022131
[152/5000][355/535][15393] Loss_D: -0.040869 Loss_G: 0.040305 Loss_D_real: -0.037704 Loss_D_fake 0.003165
[152/5000][360/535][15394] Loss_D: -0.041261 Loss_G: 0.024909 Loss_D_real: -0.028394 Loss_D_fake 0.012867
[152/5000][365/535][15395] Loss_D: -0.039307 Loss_G: 0.028104 Loss_D_real: -0.036638 Loss_D_fake 0.002668
[152/5000][370/535][15396] Loss_D: -0.039836 Loss_G: 0.027438 Loss_D_real: -0.026754 Loss_D_fake 0.013082
[152/5000][375/535][15397] Loss_D: -0.039914 Loss_G: 0.003541 Loss_D_real: -0.014337 Loss_D_fake 0.025577
[152/5000][380/535][15398] Loss_D: -0.040869 Loss_G: 0.020463 Loss_D_real: -0.024337 Loss_D_fake 0.016532
[152/5000][385/535][15399] Loss_D: -0.041878 Loss_G: 0.023384 Loss_D_real: -0.024014 Loss_D_fake 0.017865
[152/5000][390/535][15400] Loss_D: -0.041461 Loss_G: 0.032636 Loss_D_real: -0.029206 Loss_D_fake 0.012255
[152/5000][395/535][15401] Loss_D: -0.039935 Loss_G: -0.010492 Loss_D_real: -0.007381 Loss_D_fake 0.032554
[152/5000][400/535][15402] Loss_D: -0.039715 Loss_G: 0.038372 Loss_D_real: -0.041610 Loss_D_fake -0.001895
[152/5000][405/535][15403] Loss_D: -0.040206 Loss_G: 0.019615 Loss_D_real: -0.028921 Loss_D_fake 0.011285
[152/5000][410/535][15404] Loss_D: -0.041150 Loss_G: 0.033607 Loss_D_real: -0.033324 Loss_D_fake 0.007826
[152/5000][415/535][15405] Loss_D: -0.040690 Loss_G: 0.017190 Loss_D_real: -0.014827 Loss_D_fake 0.025863
[152/5000][420/535][15406] Loss_D: -0.039281 Loss_G: 0.013470 Loss_D_real: -0.017139 Loss_D_fake 0.022142
[152/5000][425/535][15407] Loss_D: -0.040523 Loss_G: 0.044038 Loss_D_real: -0.040572 Loss_D_fake -0.000049
[152/5000][430/535][15408] Loss_D: -0.037912 Loss_G: -0.004876 Loss_D_real: -0.003401 Loss_D_fake 0.034511
[152/5000][435/535][15409] Loss_D: -0.039593 Loss_G: 0.016301 Loss_D_real: -0.019309 Loss_D_fake 0.020285
[152/5000][440/535][15410] Loss_D: -0.039651 Loss_G: 0.035723 Loss_D_real: -0.036987 Loss_D_fake 0.002664
[152/5000][445/535][15411] Loss_D: -0.041584 Loss_G: 0.012676 Loss_D_real: -0.015231 Loss_D_fake 0.026353
[152/5000][450/535][15412] Loss_D: -0.041335 Loss_G: 0.039544 Loss_D_real: -0.042315 Loss_D_fake -0.000980
[152/5000][455/535][15413] Loss_D: -0.039935 Loss_G: 0.018777 Loss_D_real: -0.017180 Loss_D_fake 0.022756
[152/5000][460/535][15414] Loss_D: -0.040402 Loss_G: 0.021891 Loss_D_real: -0.023951 Loss_D_fake 0.016452
[152/5000][465/535][15415] Loss_D: -0.039472 Loss_G: 0.020399 Loss_D_real: -0.032232 Loss_D_fake 0.007240
[152/5000][470/535][15416] Loss_D: -0.040503 Loss_G: -0.009438 Loss_D_real: -0.007569 Loss_D_fake 0.032934
[152/5000][475/535][15417] Loss_D: -0.039456 Loss_G: 0.022724 Loss_D_real: -0.033404 Loss_D_fake 0.006052
[152/5000][480/535][15418] Loss_D: -0.038178 Loss_G: 0.048307 Loss_D_real: -0.038417 Loss_D_fake -0.000238
[152/5000][485/535][15419] Loss_D: -0.038084 Loss_G: -0.018144 Loss_D_real: 0.008140 Loss_D_fake 0.046224
[152/5000][490/535][15420] Loss_D: -0.038397 Loss_G: 0.024987 Loss_D_real: -0.024837 Loss_D_fake 0.013560
[152/5000][495/535][15421] Loss_D: -0.038560 Loss_G: 0.028721 Loss_D_real: -0.031637 Loss_D_fake 0.006923
[152/5000][500/535][15422] Loss_D: -0.039825 Loss_G: 0.031574 Loss_D_real: -0.034635 Loss_D_fake 0.005190
[152/5000][505/535][15423] Loss_D: -0.040738 Loss_G: 0.038426 Loss_D_real: -0.035861 Loss_D_fake 0.004877
[152/5000][510/535][15424] Loss_D: -0.040778 Loss_G: 0.035391 Loss_D_real: -0.027846 Loss_D_fake 0.012932
[152/5000][515/535][15425] Loss_D: -0.039014 Loss_G: 0.045808 Loss_D_real: -0.036467 Loss_D_fake 0.002547
[152/5000][520/535][15426] Loss_D: -0.039890 Loss_G: -0.007788 Loss_D_real: -0.009337 Loss_D_fake 0.030553
[152/5000][525/535][15427] Loss_D: -0.038157 Loss_G: 0.024109 Loss_D_real: -0.028770 Loss_D_fake 0.009386
[152/5000][530/535][15428] Loss_D: -0.036732 Loss_G: -0.016780 Loss_D_real: 0.000467 Loss_D_fake 0.037199
[152/5000][535/535][15429] Loss_D: -0.035015 Loss_G: 0.033415 Loss_D_real: -0.023254 Loss_D_fake 0.011761
[153/5000][5/535][15430] Loss_D: -0.038192 Loss_G: 0.003029 Loss_D_real: -0.009763 Loss_D_fake 0.028429
[153/5000][10/535][15431] Loss_D: -0.039936 Loss_G: 0.033607 Loss_D_real: -0.035375 Loss_D_fake 0.004561
[153/5000][15/535][15432] Loss_D: -0.039504 Loss_G: 0.011376 Loss_D_real: -0.012386 Loss_D_fake 0.027119
[153/5000][20/535][15433] Loss_D: -0.041165 Loss_G: 0.017343 Loss_D_real: -0.018320 Loss_D_fake 0.022845
[153/5000][25/535][15434] Loss_D: -0.040656 Loss_G: 0.042306 Loss_D_real: -0.031073 Loss_D_fake 0.009583
[153/5000][30/535][15435] Loss_D: -0.039421 Loss_G: 0.025114 Loss_D_real: -0.020170 Loss_D_fake 0.019250
[153/5000][35/535][15436] Loss_D: -0.039035 Loss_G: 0.035733 Loss_D_real: -0.044732 Loss_D_fake -0.005697
[153/5000][40/535][15437] Loss_D: -0.040151 Loss_G: 0.038326 Loss_D_real: -0.031819 Loss_D_fake 0.008331
[153/5000][45/535][15438] Loss_D: -0.039874 Loss_G: 0.007375 Loss_D_real: -0.013278 Loss_D_fake 0.026596
[153/5000][50/535][15439] Loss_D: -0.040464 Loss_G: 0.041729 Loss_D_real: -0.030289 Loss_D_fake 0.010176
[153/5000][55/535][15440] Loss_D: -0.039867 Loss_G: 0.015894 Loss_D_real: -0.014336 Loss_D_fake 0.025530
[153/5000][60/535][15441] Loss_D: -0.037879 Loss_G: 0.032564 Loss_D_real: -0.041429 Loss_D_fake -0.003550
[153/5000][65/535][15442] Loss_D: -0.038130 Loss_G: -0.019332 Loss_D_real: 0.000807 Loss_D_fake 0.038938
[153/5000][70/535][15443] Loss_D: -0.039190 Loss_G: 0.037642 Loss_D_real: -0.040265 Loss_D_fake -0.001075
[153/5000][75/535][15444] Loss_D: -0.038585 Loss_G: -0.003234 Loss_D_real: -0.006943 Loss_D_fake 0.031642
[153/5000][80/535][15445] Loss_D: -0.038615 Loss_G: 0.024501 Loss_D_real: -0.031602 Loss_D_fake 0.007013
[153/5000][85/535][15446] Loss_D: -0.039073 Loss_G: 0.029920 Loss_D_real: -0.032584 Loss_D_fake 0.006490
[153/5000][90/535][15447] Loss_D: -0.041162 Loss_G: 0.034439 Loss_D_real: -0.026069 Loss_D_fake 0.015093
[153/5000][95/535][15448] Loss_D: -0.040223 Loss_G: 0.043050 Loss_D_real: -0.042588 Loss_D_fake -0.002365
[153/5000][100/535][15449] Loss_D: -0.041456 Loss_G: 0.009694 Loss_D_real: -0.017040 Loss_D_fake 0.024416
[153/5000][105/535][15450] Loss_D: -0.039688 Loss_G: 0.036431 Loss_D_real: -0.039654 Loss_D_fake 0.000034
[153/5000][110/535][15451] Loss_D: -0.042413 Loss_G: 0.006799 Loss_D_real: -0.021585 Loss_D_fake 0.020828
[153/5000][115/535][15452] Loss_D: -0.040925 Loss_G: 0.020664 Loss_D_real: -0.030741 Loss_D_fake 0.010184
[153/5000][120/535][15453] Loss_D: -0.038615 Loss_G: 0.003763 Loss_D_real: -0.012059 Loss_D_fake 0.026557
[153/5000][125/535][15454] Loss_D: -0.039270 Loss_G: 0.030816 Loss_D_real: -0.024146 Loss_D_fake 0.015124
[153/5000][130/535][15455] Loss_D: -0.038187 Loss_G: 0.015635 Loss_D_real: -0.021122 Loss_D_fake 0.017065
[153/5000][135/535][15456] Loss_D: -0.038001 Loss_G: 0.032658 Loss_D_real: -0.038851 Loss_D_fake -0.000850
[153/5000][140/535][15457] Loss_D: -0.042083 Loss_G: 0.011386 Loss_D_real: -0.022954 Loss_D_fake 0.019128
[153/5000][145/535][15458] Loss_D: -0.039066 Loss_G: 0.007123 Loss_D_real: -0.019278 Loss_D_fake 0.019788
[153/5000][150/535][15459] Loss_D: -0.038067 Loss_G: 0.042246 Loss_D_real: -0.043819 Loss_D_fake -0.005752
[153/5000][155/535][15460] Loss_D: -0.038396 Loss_G: 0.007090 Loss_D_real: -0.010301 Loss_D_fake 0.028095
[153/5000][160/535][15461] Loss_D: -0.039276 Loss_G: 0.019028 Loss_D_real: -0.024362 Loss_D_fake 0.014914
[153/5000][165/535][15462] Loss_D: -0.040930 Loss_G: 0.012833 Loss_D_real: -0.022045 Loss_D_fake 0.018885
[153/5000][170/535][15463] Loss_D: -0.039636 Loss_G: 0.031666 Loss_D_real: -0.033018 Loss_D_fake 0.006618
[153/5000][175/535][15464] Loss_D: -0.040560 Loss_G: -0.013681 Loss_D_real: -0.003464 Loss_D_fake 0.037096
[153/5000][180/535][15465] Loss_D: -0.039439 Loss_G: 0.032180 Loss_D_real: -0.026769 Loss_D_fake 0.012670
[153/5000][185/535][15466] Loss_D: -0.040866 Loss_G: 0.030659 Loss_D_real: -0.037560 Loss_D_fake 0.003306
[153/5000][190/535][15467] Loss_D: -0.038833 Loss_G: 0.020621 Loss_D_real: -0.024618 Loss_D_fake 0.014215
[153/5000][195/535][15468] Loss_D: -0.038334 Loss_G: 0.017274 Loss_D_real: -0.024324 Loss_D_fake 0.014010
[153/5000][200/535][15469] Loss_D: -0.039919 Loss_G: 0.018346 Loss_D_real: -0.017672 Loss_D_fake 0.022247
[153/5000][205/535][15470] Loss_D: -0.039242 Loss_G: 0.030565 Loss_D_real: -0.034374 Loss_D_fake 0.004868
[153/5000][210/535][15471] Loss_D: -0.039376 Loss_G: 0.008454 Loss_D_real: -0.018483 Loss_D_fake 0.020893
[153/5000][215/535][15472] Loss_D: -0.034854 Loss_G: 0.057011 Loss_D_real: -0.052863 Loss_D_fake -0.018010
[153/5000][220/535][15473] Loss_D: -0.040053 Loss_G: -0.004389 Loss_D_real: -0.009628 Loss_D_fake 0.030426
[153/5000][225/535][15474] Loss_D: -0.038720 Loss_G: 0.028400 Loss_D_real: -0.031739 Loss_D_fake 0.006981
[153/5000][230/535][15475] Loss_D: -0.040353 Loss_G: 0.008839 Loss_D_real: -0.017615 Loss_D_fake 0.022739
[153/5000][235/535][15476] Loss_D: -0.040457 Loss_G: 0.045292 Loss_D_real: -0.042869 Loss_D_fake -0.002412
[153/5000][240/535][15477] Loss_D: -0.039338 Loss_G: 0.019229 Loss_D_real: -0.017112 Loss_D_fake 0.022225
[153/5000][245/535][15478] Loss_D: -0.039605 Loss_G: 0.046725 Loss_D_real: -0.045354 Loss_D_fake -0.005749
[153/5000][250/535][15479] Loss_D: -0.038772 Loss_G: -0.003135 Loss_D_real: -0.010520 Loss_D_fake 0.028252
[153/5000][255/535][15480] Loss_D: -0.042199 Loss_G: 0.014841 Loss_D_real: -0.022923 Loss_D_fake 0.019276
[153/5000][260/535][15481] Loss_D: -0.040639 Loss_G: 0.032627 Loss_D_real: -0.034095 Loss_D_fake 0.006543
[153/5000][265/535][15482] Loss_D: -0.041732 Loss_G: 0.046783 Loss_D_real: -0.033478 Loss_D_fake 0.008254
[153/5000][270/535][15483] Loss_D: -0.040230 Loss_G: -0.008141 Loss_D_real: 0.001348 Loss_D_fake 0.041578
[153/5000][275/535][15484] Loss_D: -0.037495 Loss_G: 0.024213 Loss_D_real: -0.029923 Loss_D_fake 0.007573
[153/5000][280/535][15485] Loss_D: -0.041242 Loss_G: 0.032376 Loss_D_real: -0.034563 Loss_D_fake 0.006678
[153/5000][285/535][15486] Loss_D: -0.042032 Loss_G: 0.016343 Loss_D_real: -0.021239 Loss_D_fake 0.020793
[153/5000][290/535][15487] Loss_D: -0.038809 Loss_G: 0.055363 Loss_D_real: -0.045337 Loss_D_fake -0.006528
[153/5000][295/535][15488] Loss_D: -0.038531 Loss_G: -0.006390 Loss_D_real: -0.004723 Loss_D_fake 0.033807
[153/5000][300/535][15489] Loss_D: -0.038186 Loss_G: 0.034189 Loss_D_real: -0.032173 Loss_D_fake 0.006013
[153/5000][305/535][15490] Loss_D: -0.042760 Loss_G: 0.008422 Loss_D_real: -0.021232 Loss_D_fake 0.021528
[153/5000][310/535][15491] Loss_D: -0.041432 Loss_G: 0.014608 Loss_D_real: -0.017113 Loss_D_fake 0.024319
[153/5000][315/535][15492] Loss_D: -0.037010 Loss_G: 0.051378 Loss_D_real: -0.046773 Loss_D_fake -0.009763
[153/5000][320/535][15493] Loss_D: -0.040179 Loss_G: -0.001737 Loss_D_real: 0.001593 Loss_D_fake 0.041772
[153/5000][325/535][15494] Loss_D: -0.039375 Loss_G: 0.036877 Loss_D_real: -0.032063 Loss_D_fake 0.007312
[153/5000][330/535][15495] Loss_D: -0.040655 Loss_G: 0.012861 Loss_D_real: -0.015848 Loss_D_fake 0.024807
[153/5000][335/535][15496] Loss_D: -0.038533 Loss_G: 0.021233 Loss_D_real: -0.018639 Loss_D_fake 0.019894
[153/5000][340/535][15497] Loss_D: -0.039153 Loss_G: 0.002115 Loss_D_real: -0.012785 Loss_D_fake 0.026368
[153/5000][345/535][15498] Loss_D: -0.039796 Loss_G: 0.034442 Loss_D_real: -0.031332 Loss_D_fake 0.008464
[153/5000][350/535][15499] Loss_D: -0.041558 Loss_G: 0.034204 Loss_D_real: -0.033998 Loss_D_fake 0.007561
[153/5000][355/535][15500] Loss_D: -0.042487 Loss_G: 0.021763 Loss_D_real: -0.022930 Loss_D_fake 0.019557
[153/5000][455/535][15501] Loss_D: -0.045383 Loss_G: 0.007767 Loss_D_real: -0.011781 Loss_D_fake 0.033602
[153/5000][460/535][15502] Loss_D: -0.041141 Loss_G: 0.035985 Loss_D_real: -0.030801 Loss_D_fake 0.010340
[153/5000][465/535][15503] Loss_D: -0.037972 Loss_G: 0.023454 Loss_D_real: -0.029810 Loss_D_fake 0.008162
[153/5000][470/535][15504] Loss_D: -0.038931 Loss_G: 0.019188 Loss_D_real: -0.020314 Loss_D_fake 0.018617
[153/5000][475/535][15505] Loss_D: -0.038773 Loss_G: 0.024148 Loss_D_real: -0.027652 Loss_D_fake 0.011121
[153/5000][480/535][15506] Loss_D: -0.038723 Loss_G: 0.008728 Loss_D_real: -0.019052 Loss_D_fake 0.019671
[153/5000][485/535][15507] Loss_D: -0.038640 Loss_G: 0.026768 Loss_D_real: -0.031632 Loss_D_fake 0.007007
[153/5000][490/535][15508] Loss_D: -0.041028 Loss_G: 0.038186 Loss_D_real: -0.030433 Loss_D_fake 0.010595
[153/5000][495/535][15509] Loss_D: -0.041332 Loss_G: 0.019451 Loss_D_real: -0.025856 Loss_D_fake 0.015476
[153/5000][500/535][15510] Loss_D: -0.040092 Loss_G: 0.028721 Loss_D_real: -0.032154 Loss_D_fake 0.007938
[153/5000][505/535][15511] Loss_D: -0.042617 Loss_G: 0.012237 Loss_D_real: -0.013712 Loss_D_fake 0.028905
[153/5000][510/535][15512] Loss_D: -0.039598 Loss_G: 0.037345 Loss_D_real: -0.030735 Loss_D_fake 0.008862
[153/5000][515/535][15513] Loss_D: -0.040419 Loss_G: 0.006348 Loss_D_real: -0.014820 Loss_D_fake 0.025599
[153/5000][520/535][15514] Loss_D: -0.037890 Loss_G: 0.042244 Loss_D_real: -0.042647 Loss_D_fake -0.004757
[153/5000][525/535][15515] Loss_D: -0.038277 Loss_G: 0.008399 Loss_D_real: -0.012296 Loss_D_fake 0.025981
[153/5000][530/535][15516] Loss_D: -0.041183 Loss_G: 0.035732 Loss_D_real: -0.032816 Loss_D_fake 0.008367
[153/5000][535/535][15517] Loss_D: -0.040427 Loss_G: 0.008887 Loss_D_real: -0.025427 Loss_D_fake 0.015000
[154/5000][5/535][15518] Loss_D: -0.039635 Loss_G: 0.016427 Loss_D_real: -0.023460 Loss_D_fake 0.016176
[154/5000][10/535][15519] Loss_D: -0.038900 Loss_G: 0.039055 Loss_D_real: -0.031580 Loss_D_fake 0.007320
[154/5000][15/535][15520] Loss_D: -0.040892 Loss_G: -0.001492 Loss_D_real: -0.013326 Loss_D_fake 0.027565
[154/5000][20/535][15521] Loss_D: -0.039059 Loss_G: 0.043931 Loss_D_real: -0.041578 Loss_D_fake -0.002519
[154/5000][25/535][15522] Loss_D: -0.039850 Loss_G: -0.004662 Loss_D_real: -0.001819 Loss_D_fake 0.038032
[154/5000][30/535][15523] Loss_D: -0.038496 Loss_G: 0.032129 Loss_D_real: -0.037859 Loss_D_fake 0.000637
[154/5000][35/535][15524] Loss_D: -0.038638 Loss_G: 0.043030 Loss_D_real: -0.037729 Loss_D_fake 0.000909
[154/5000][40/535][15525] Loss_D: -0.039010 Loss_G: 0.026356 Loss_D_real: -0.023469 Loss_D_fake 0.015541
[154/5000][45/535][15526] Loss_D: -0.042630 Loss_G: 0.032136 Loss_D_real: -0.031508 Loss_D_fake 0.011122
[154/5000][50/535][15527] Loss_D: -0.042078 Loss_G: 0.013950 Loss_D_real: -0.022680 Loss_D_fake 0.019397
[154/5000][55/535][15528] Loss_D: -0.039492 Loss_G: 0.020380 Loss_D_real: -0.022990 Loss_D_fake 0.016502
[154/5000][60/535][15529] Loss_D: -0.038839 Loss_G: -0.001200 Loss_D_real: -0.008357 Loss_D_fake 0.030483
[154/5000][65/535][15530] Loss_D: -0.038414 Loss_G: 0.034698 Loss_D_real: -0.045706 Loss_D_fake -0.007292
[154/5000][70/535][15531] Loss_D: -0.039835 Loss_G: 0.000274 Loss_D_real: -0.010773 Loss_D_fake 0.029062
[154/5000][75/535][15532] Loss_D: -0.038610 Loss_G: 0.034771 Loss_D_real: -0.041039 Loss_D_fake -0.002428
[154/5000][80/535][15533] Loss_D: -0.041491 Loss_G: 0.013240 Loss_D_real: -0.020927 Loss_D_fake 0.020564
[154/5000][85/535][15534] Loss_D: -0.040222 Loss_G: 0.008009 Loss_D_real: -0.010975 Loss_D_fake 0.029248
[154/5000][90/535][15535] Loss_D: -0.040017 Loss_G: 0.004366 Loss_D_real: -0.015881 Loss_D_fake 0.024136
[154/5000][95/535][15536] Loss_D: -0.038595 Loss_G: 0.039901 Loss_D_real: -0.037005 Loss_D_fake 0.001590
[154/5000][100/535][15537] Loss_D: -0.042794 Loss_G: 0.011264 Loss_D_real: -0.017877 Loss_D_fake 0.024918
[154/5000][105/535][15538] Loss_D: -0.039596 Loss_G: 0.016607 Loss_D_real: -0.025073 Loss_D_fake 0.014523
[154/5000][110/535][15539] Loss_D: -0.041147 Loss_G: 0.038435 Loss_D_real: -0.037990 Loss_D_fake 0.003157
[154/5000][115/535][15540] Loss_D: -0.038648 Loss_G: 0.009168 Loss_D_real: -0.015528 Loss_D_fake 0.023120
[154/5000][120/535][15541] Loss_D: -0.039452 Loss_G: 0.038437 Loss_D_real: -0.036935 Loss_D_fake 0.002517
[154/5000][125/535][15542] Loss_D: -0.037927 Loss_G: 0.005292 Loss_D_real: -0.009716 Loss_D_fake 0.028212
[154/5000][130/535][15543] Loss_D: -0.038734 Loss_G: 0.017121 Loss_D_real: -0.024183 Loss_D_fake 0.014551
[154/5000][135/535][15544] Loss_D: -0.040474 Loss_G: 0.005634 Loss_D_real: -0.009788 Loss_D_fake 0.030687
[154/5000][140/535][15545] Loss_D: -0.041191 Loss_G: 0.028639 Loss_D_real: -0.030248 Loss_D_fake 0.010943
[154/5000][145/535][15546] Loss_D: -0.038718 Loss_G: 0.042189 Loss_D_real: -0.045072 Loss_D_fake -0.006354
[154/5000][150/535][15547] Loss_D: -0.040203 Loss_G: 0.008143 Loss_D_real: -0.014866 Loss_D_fake 0.025337
[154/5000][155/535][15548] Loss_D: -0.038693 Loss_G: 0.025892 Loss_D_real: -0.032492 Loss_D_fake 0.006202
[154/5000][160/535][15549] Loss_D: -0.041034 Loss_G: 0.024726 Loss_D_real: -0.027489 Loss_D_fake 0.013545
[154/5000][165/535][15550] Loss_D: -0.040116 Loss_G: -0.006359 Loss_D_real: -0.004250 Loss_D_fake 0.035866
[154/5000][170/535][15551] Loss_D: -0.035379 Loss_G: 0.044359 Loss_D_real: -0.049880 Loss_D_fake -0.014501
[154/5000][175/535][15552] Loss_D: -0.041948 Loss_G: 0.014907 Loss_D_real: -0.021874 Loss_D_fake 0.020074
[154/5000][180/535][15553] Loss_D: -0.041435 Loss_G: 0.031000 Loss_D_real: -0.035419 Loss_D_fake 0.006016
[154/5000][185/535][15554] Loss_D: -0.042163 Loss_G: 0.025656 Loss_D_real: -0.021231 Loss_D_fake 0.020933
[154/5000][190/535][15555] Loss_D: -0.036839 Loss_G: 0.054193 Loss_D_real: -0.049544 Loss_D_fake -0.012705
[154/5000][195/535][15556] Loss_D: -0.038840 Loss_G: 0.003872 Loss_D_real: -0.007699 Loss_D_fake 0.031141
[154/5000][200/535][15557] Loss_D: -0.039512 Loss_G: 0.031105 Loss_D_real: -0.035544 Loss_D_fake 0.003968
[154/5000][205/535][15558] Loss_D: -0.039684 Loss_G: 0.033214 Loss_D_real: -0.037427 Loss_D_fake 0.002257
[154/5000][210/535][15559] Loss_D: -0.039580 Loss_G: 0.008093 Loss_D_real: -0.013876 Loss_D_fake 0.025704
[154/5000][215/535][15560] Loss_D: -0.038617 Loss_G: 0.042613 Loss_D_real: -0.041096 Loss_D_fake -0.002479
[154/5000][220/535][15561] Loss_D: -0.037457 Loss_G: 0.006162 Loss_D_real: -0.012255 Loss_D_fake 0.025202
[154/5000][225/535][15562] Loss_D: -0.039608 Loss_G: 0.029581 Loss_D_real: -0.027146 Loss_D_fake 0.012463
[154/5000][230/535][15563] Loss_D: -0.040974 Loss_G: 0.023279 Loss_D_real: -0.024879 Loss_D_fake 0.016096
[154/5000][235/535][15564] Loss_D: -0.040898 Loss_G: 0.040389 Loss_D_real: -0.032384 Loss_D_fake 0.008514
[154/5000][240/535][15565] Loss_D: -0.040792 Loss_G: -0.006985 Loss_D_real: -0.004900 Loss_D_fake 0.035892
[154/5000][245/535][15566] Loss_D: -0.036609 Loss_G: 0.033523 Loss_D_real: -0.033700 Loss_D_fake 0.002910
[154/5000][250/535][15567] Loss_D: -0.039388 Loss_G: 0.004199 Loss_D_real: -0.009587 Loss_D_fake 0.029801
[154/5000][255/535][15568] Loss_D: -0.039187 Loss_G: 0.021077 Loss_D_real: -0.021023 Loss_D_fake 0.018164
[154/5000][260/535][15569] Loss_D: -0.039211 Loss_G: 0.012639 Loss_D_real: -0.014574 Loss_D_fake 0.024637
[154/5000][265/535][15570] Loss_D: -0.040655 Loss_G: 0.018437 Loss_D_real: -0.023537 Loss_D_fake 0.017118
[154/5000][270/535][15571] Loss_D: -0.040216 Loss_G: 0.007945 Loss_D_real: -0.014849 Loss_D_fake 0.025368
[154/5000][275/535][15572] Loss_D: -0.041341 Loss_G: 0.013280 Loss_D_real: -0.014369 Loss_D_fake 0.026972
[154/5000][280/535][15573] Loss_D: -0.040578 Loss_G: 0.008413 Loss_D_real: -0.017797 Loss_D_fake 0.022780
[154/5000][285/535][15574] Loss_D: -0.039717 Loss_G: 0.035023 Loss_D_real: -0.043346 Loss_D_fake -0.003629
[154/5000][290/535][15575] Loss_D: -0.040824 Loss_G: 0.007730 Loss_D_real: -0.019016 Loss_D_fake 0.021808
[154/5000][295/535][15576] Loss_D: -0.040675 Loss_G: 0.027527 Loss_D_real: -0.030467 Loss_D_fake 0.010208
[154/5000][300/535][15577] Loss_D: -0.041408 Loss_G: 0.029734 Loss_D_real: -0.033216 Loss_D_fake 0.008192
[154/5000][305/535][15578] Loss_D: -0.041655 Loss_G: 0.023435 Loss_D_real: -0.033346 Loss_D_fake 0.008309
[154/5000][310/535][15579] Loss_D: -0.038276 Loss_G: 0.032349 Loss_D_real: -0.028701 Loss_D_fake 0.009574
[154/5000][315/535][15580] Loss_D: -0.041304 Loss_G: 0.008547 Loss_D_real: -0.017041 Loss_D_fake 0.024263
[154/5000][320/535][15581] Loss_D: -0.038005 Loss_G: 0.046557 Loss_D_real: -0.044253 Loss_D_fake -0.006248
[154/5000][325/535][15582] Loss_D: -0.039968 Loss_G: 0.017660 Loss_D_real: -0.018221 Loss_D_fake 0.021747
[154/5000][330/535][15583] Loss_D: -0.041036 Loss_G: 0.034591 Loss_D_real: -0.029155 Loss_D_fake 0.011881
[154/5000][335/535][15584] Loss_D: -0.041559 Loss_G: 0.008551 Loss_D_real: -0.022258 Loss_D_fake 0.019302
[154/5000][340/535][15585] Loss_D: -0.040249 Loss_G: 0.026276 Loss_D_real: -0.024908 Loss_D_fake 0.015341
[154/5000][345/535][15586] Loss_D: -0.039244 Loss_G: 0.046142 Loss_D_real: -0.044244 Loss_D_fake -0.005000
[154/5000][350/535][15587] Loss_D: -0.040213 Loss_G: 0.014544 Loss_D_real: -0.019797 Loss_D_fake 0.020416
[154/5000][355/535][15588] Loss_D: -0.039653 Loss_G: 0.032655 Loss_D_real: -0.033421 Loss_D_fake 0.006233
[154/5000][360/535][15589] Loss_D: -0.041032 Loss_G: 0.018993 Loss_D_real: -0.019048 Loss_D_fake 0.021983
[154/5000][365/535][15590] Loss_D: -0.040190 Loss_G: 0.026455 Loss_D_real: -0.025296 Loss_D_fake 0.014894
[154/5000][370/535][15591] Loss_D: -0.040637 Loss_G: 0.030937 Loss_D_real: -0.025221 Loss_D_fake 0.015416
[154/5000][375/535][15592] Loss_D: -0.037878 Loss_G: -0.011352 Loss_D_real: 0.001198 Loss_D_fake 0.039076
[154/5000][380/535][15593] Loss_D: -0.035079 Loss_G: 0.042386 Loss_D_real: -0.050600 Loss_D_fake -0.015521
[154/5000][385/535][15594] Loss_D: -0.038499 Loss_G: -0.009556 Loss_D_real: -0.002006 Loss_D_fake 0.036493
[154/5000][390/535][15595] Loss_D: -0.036870 Loss_G: 0.040679 Loss_D_real: -0.040487 Loss_D_fake -0.003617
[154/5000][395/535][15596] Loss_D: -0.037907 Loss_G: -0.006352 Loss_D_real: -0.005232 Loss_D_fake 0.032675
[154/5000][400/535][15597] Loss_D: -0.038499 Loss_G: 0.035813 Loss_D_real: -0.036720 Loss_D_fake 0.001779
[154/5000][405/535][15598] Loss_D: -0.039112 Loss_G: 0.026046 Loss_D_real: -0.026090 Loss_D_fake 0.013022
[154/5000][410/535][15599] Loss_D: -0.040272 Loss_G: 0.014499 Loss_D_real: -0.019536 Loss_D_fake 0.020737
[154/5000][415/535][15600] Loss_D: -0.040613 Loss_G: 0.036189 Loss_D_real: -0.030259 Loss_D_fake 0.010355
[154/5000][420/535][15601] Loss_D: -0.040287 Loss_G: 0.011696 Loss_D_real: -0.016140 Loss_D_fake 0.024147
[154/5000][425/535][15602] Loss_D: -0.039960 Loss_G: 0.031408 Loss_D_real: -0.036103 Loss_D_fake 0.003856
[154/5000][430/535][15603] Loss_D: -0.040120 Loss_G: 0.028411 Loss_D_real: -0.028662 Loss_D_fake 0.011458
[154/5000][435/535][15604] Loss_D: -0.041539 Loss_G: 0.012998 Loss_D_real: -0.020600 Loss_D_fake 0.020940
[154/5000][440/535][15605] Loss_D: -0.040931 Loss_G: 0.043880 Loss_D_real: -0.040534 Loss_D_fake 0.000397
[154/5000][445/535][15606] Loss_D: -0.039581 Loss_G: 0.008757 Loss_D_real: -0.018923 Loss_D_fake 0.020658
[154/5000][450/535][15607] Loss_D: -0.040094 Loss_G: 0.039223 Loss_D_real: -0.029053 Loss_D_fake 0.011041
[154/5000][455/535][15608] Loss_D: -0.039152 Loss_G: 0.007069 Loss_D_real: -0.014237 Loss_D_fake 0.024915
[154/5000][460/535][15609] Loss_D: -0.037318 Loss_G: 0.025300 Loss_D_real: -0.032127 Loss_D_fake 0.005191
[154/5000][465/535][15610] Loss_D: -0.037677 Loss_G: -0.006005 Loss_D_real: -0.005039 Loss_D_fake 0.032638
[154/5000][470/535][15611] Loss_D: -0.036717 Loss_G: 0.039546 Loss_D_real: -0.045503 Loss_D_fake -0.008787
[154/5000][475/535][15612] Loss_D: -0.038727 Loss_G: 0.025715 Loss_D_real: -0.029955 Loss_D_fake 0.008772
[154/5000][480/535][15613] Loss_D: -0.041719 Loss_G: 0.014326 Loss_D_real: -0.021708 Loss_D_fake 0.020012
[154/5000][485/535][15614] Loss_D: -0.039681 Loss_G: -0.005325 Loss_D_real: -0.010779 Loss_D_fake 0.028903
[154/5000][490/535][15615] Loss_D: -0.037965 Loss_G: 0.039145 Loss_D_real: -0.039334 Loss_D_fake -0.001369
[154/5000][495/535][15616] Loss_D: -0.038243 Loss_G: -0.008757 Loss_D_real: -0.004154 Loss_D_fake 0.034089
[154/5000][500/535][15617] Loss_D: -0.039253 Loss_G: 0.018413 Loss_D_real: -0.026065 Loss_D_fake 0.013188
[154/5000][505/535][15618] Loss_D: -0.039362 Loss_G: 0.014009 Loss_D_real: -0.015474 Loss_D_fake 0.023888
[154/5000][510/535][15619] Loss_D: -0.037234 Loss_G: 0.008887 Loss_D_real: -0.015418 Loss_D_fake 0.021817
[154/5000][515/535][15620] Loss_D: -0.038792 Loss_G: 0.041910 Loss_D_real: -0.037606 Loss_D_fake 0.001186
[154/5000][520/535][15621] Loss_D: -0.039599 Loss_G: 0.017033 Loss_D_real: -0.028792 Loss_D_fake 0.010806
[154/5000][525/535][15622] Loss_D: -0.041836 Loss_G: 0.030289 Loss_D_real: -0.038424 Loss_D_fake 0.003412
[154/5000][530/535][15623] Loss_D: -0.040117 Loss_G: 0.014159 Loss_D_real: -0.016134 Loss_D_fake 0.023983
[154/5000][535/535][15624] Loss_D: -0.039014 Loss_G: 0.042966 Loss_D_real: -0.040824 Loss_D_fake -0.001810
[155/5000][5/535][15625] Loss_D: -0.039544 Loss_G: 0.022613 Loss_D_real: -0.020280 Loss_D_fake 0.019264
[155/5000][10/535][15626] Loss_D: -0.040871 Loss_G: 0.018613 Loss_D_real: -0.024830 Loss_D_fake 0.016041
[155/5000][15/535][15627] Loss_D: -0.039714 Loss_G: 0.007038 Loss_D_real: -0.014036 Loss_D_fake 0.025678
[155/5000][20/535][15628] Loss_D: -0.039911 Loss_G: 0.006980 Loss_D_real: -0.018951 Loss_D_fake 0.020960
[155/5000][25/535][15629] Loss_D: -0.036630 Loss_G: 0.045825 Loss_D_real: -0.045670 Loss_D_fake -0.009040
[155/5000][30/535][15630] Loss_D: -0.036829 Loss_G: -0.008102 Loss_D_real: -0.002380 Loss_D_fake 0.034449
[155/5000][35/535][15631] Loss_D: -0.038354 Loss_G: 0.017757 Loss_D_real: -0.024103 Loss_D_fake 0.014251
[155/5000][40/535][15632] Loss_D: -0.040093 Loss_G: 0.024693 Loss_D_real: -0.021942 Loss_D_fake 0.018151
[155/5000][45/535][15633] Loss_D: -0.039812 Loss_G: 0.005570 Loss_D_real: -0.006838 Loss_D_fake 0.032974
[155/5000][50/535][15634] Loss_D: -0.039806 Loss_G: 0.026016 Loss_D_real: -0.032681 Loss_D_fake 0.007124
[155/5000][55/535][15635] Loss_D: -0.041964 Loss_G: 0.028322 Loss_D_real: -0.030196 Loss_D_fake 0.011768
[155/5000][60/535][15636] Loss_D: -0.038895 Loss_G: 0.002877 Loss_D_real: -0.008482 Loss_D_fake 0.030414
[155/5000][65/535][15637] Loss_D: -0.036765 Loss_G: 0.030139 Loss_D_real: -0.035590 Loss_D_fake 0.001176
[155/5000][70/535][15638] Loss_D: -0.039160 Loss_G: 0.017859 Loss_D_real: -0.017148 Loss_D_fake 0.022012
[155/5000][75/535][15639] Loss_D: -0.037938 Loss_G: 0.035868 Loss_D_real: -0.036011 Loss_D_fake 0.001927
[155/5000][80/535][15640] Loss_D: -0.041447 Loss_G: -0.003559 Loss_D_real: -0.013926 Loss_D_fake 0.027522
[155/5000][85/535][15641] Loss_D: -0.039542 Loss_G: 0.024932 Loss_D_real: -0.030737 Loss_D_fake 0.008805
[155/5000][90/535][15642] Loss_D: -0.041340 Loss_G: 0.038237 Loss_D_real: -0.039082 Loss_D_fake 0.002259
[155/5000][95/535][15643] Loss_D: -0.040792 Loss_G: 0.019535 Loss_D_real: -0.023162 Loss_D_fake 0.017630
[155/5000][100/535][15644] Loss_D: -0.038737 Loss_G: -0.005103 Loss_D_real: -0.008564 Loss_D_fake 0.030172
[155/5000][105/535][15645] Loss_D: -0.039162 Loss_G: 0.045352 Loss_D_real: -0.036865 Loss_D_fake 0.002297
[155/5000][110/535][15646] Loss_D: -0.039878 Loss_G: 0.008239 Loss_D_real: -0.008541 Loss_D_fake 0.031337
[155/5000][115/535][15647] Loss_D: -0.040103 Loss_G: 0.037613 Loss_D_real: -0.040997 Loss_D_fake -0.000895
[155/5000][120/535][15648] Loss_D: -0.037717 Loss_G: -0.006651 Loss_D_real: -0.007443 Loss_D_fake 0.030274
[155/5000][125/535][15649] Loss_D: -0.036623 Loss_G: 0.040380 Loss_D_real: -0.038867 Loss_D_fake -0.002243
[155/5000][130/535][15650] Loss_D: -0.040942 Loss_G: 0.039542 Loss_D_real: -0.035375 Loss_D_fake 0.005566
[155/5000][135/535][15651] Loss_D: -0.040374 Loss_G: -0.001424 Loss_D_real: -0.014603 Loss_D_fake 0.025771
[155/5000][140/535][15652] Loss_D: -0.037451 Loss_G: 0.047276 Loss_D_real: -0.045652 Loss_D_fake -0.008201
[155/5000][145/535][15653] Loss_D: -0.041061 Loss_G: 0.029502 Loss_D_real: -0.027891 Loss_D_fake 0.013170
[155/5000][150/535][15654] Loss_D: -0.040482 Loss_G: 0.003757 Loss_D_real: -0.016803 Loss_D_fake 0.023679
[155/5000][155/535][15655] Loss_D: -0.038847 Loss_G: 0.038095 Loss_D_real: -0.034263 Loss_D_fake 0.004584
[155/5000][160/535][15656] Loss_D: -0.041248 Loss_G: 0.024665 Loss_D_real: -0.028301 Loss_D_fake 0.012947
[155/5000][165/535][15657] Loss_D: -0.040536 Loss_G: 0.000705 Loss_D_real: -0.012644 Loss_D_fake 0.027892
[155/5000][170/535][15658] Loss_D: -0.040303 Loss_G: 0.016628 Loss_D_real: -0.021356 Loss_D_fake 0.018947
[155/5000][175/535][15659] Loss_D: -0.038514 Loss_G: 0.041600 Loss_D_real: -0.039310 Loss_D_fake -0.000795
[155/5000][180/535][15660] Loss_D: -0.041249 Loss_G: 0.002799 Loss_D_real: -0.015307 Loss_D_fake 0.025942
[155/5000][185/535][15661] Loss_D: -0.038620 Loss_G: 0.037693 Loss_D_real: -0.037632 Loss_D_fake 0.000989
[155/5000][190/535][15662] Loss_D: -0.039618 Loss_G: -0.010320 Loss_D_real: -0.003051 Loss_D_fake 0.036567
[155/5000][195/535][15663] Loss_D: -0.039289 Loss_G: 0.023139 Loss_D_real: -0.026426 Loss_D_fake 0.012863
[155/5000][200/535][15664] Loss_D: -0.039390 Loss_G: 0.043651 Loss_D_real: -0.043430 Loss_D_fake -0.004040
[155/5000][205/535][15665] Loss_D: -0.039022 Loss_G: 0.040299 Loss_D_real: -0.032457 Loss_D_fake 0.006565
[155/5000][210/535][15666] Loss_D: -0.041844 Loss_G: 0.006379 Loss_D_real: -0.017236 Loss_D_fake 0.024608
[155/5000][215/535][15667] Loss_D: -0.039440 Loss_G: 0.022652 Loss_D_real: -0.027749 Loss_D_fake 0.011692
[155/5000][220/535][15668] Loss_D: -0.039330 Loss_G: 0.009386 Loss_D_real: -0.023496 Loss_D_fake 0.015835
[155/5000][225/535][15669] Loss_D: -0.038874 Loss_G: 0.044934 Loss_D_real: -0.040633 Loss_D_fake -0.001759
[155/5000][230/535][15670] Loss_D: -0.039614 Loss_G: -0.006814 Loss_D_real: -0.007139 Loss_D_fake 0.032475
[155/5000][235/535][15671] Loss_D: -0.038348 Loss_G: 0.036273 Loss_D_real: -0.035176 Loss_D_fake 0.003172
[155/5000][240/535][15672] Loss_D: -0.040181 Loss_G: 0.025400 Loss_D_real: -0.028688 Loss_D_fake 0.011493
[155/5000][245/535][15673] Loss_D: -0.039360 Loss_G: 0.019776 Loss_D_real: -0.015417 Loss_D_fake 0.023943
[155/5000][250/535][15674] Loss_D: -0.039425 Loss_G: 0.008506 Loss_D_real: -0.014531 Loss_D_fake 0.024894
[155/5000][255/535][15675] Loss_D: -0.038195 Loss_G: 0.005862 Loss_D_real: -0.011872 Loss_D_fake 0.026323
[155/5000][260/535][15676] Loss_D: -0.037332 Loss_G: 0.043202 Loss_D_real: -0.039784 Loss_D_fake -0.002452
[155/5000][265/535][15677] Loss_D: -0.039983 Loss_G: 0.024892 Loss_D_real: -0.020452 Loss_D_fake 0.019530
[155/5000][270/535][15678] Loss_D: -0.037367 Loss_G: 0.029292 Loss_D_real: -0.019572 Loss_D_fake 0.017795
[155/5000][275/535][15679] Loss_D: -0.038821 Loss_G: -0.017291 Loss_D_real: -0.006335 Loss_D_fake 0.032486
[155/5000][280/535][15680] Loss_D: -0.038728 Loss_G: 0.023610 Loss_D_real: -0.029248 Loss_D_fake 0.009480
[155/5000][285/535][15681] Loss_D: -0.039993 Loss_G: 0.025053 Loss_D_real: -0.026791 Loss_D_fake 0.013202
[155/5000][290/535][15682] Loss_D: -0.042228 Loss_G: 0.010400 Loss_D_real: -0.016680 Loss_D_fake 0.025548
[155/5000][295/535][15683] Loss_D: -0.039671 Loss_G: 0.013267 Loss_D_real: -0.021293 Loss_D_fake 0.018378
[155/5000][300/535][15684] Loss_D: -0.040039 Loss_G: 0.032661 Loss_D_real: -0.032365 Loss_D_fake 0.007674
[155/5000][305/535][15685] Loss_D: -0.042393 Loss_G: 0.005400 Loss_D_real: -0.017931 Loss_D_fake 0.024461
[155/5000][310/535][15686] Loss_D: -0.039380 Loss_G: 0.011797 Loss_D_real: -0.016283 Loss_D_fake 0.023097
[155/5000][315/535][15687] Loss_D: -0.038959 Loss_G: 0.016980 Loss_D_real: -0.014479 Loss_D_fake 0.024480
[155/5000][320/535][15688] Loss_D: -0.039958 Loss_G: 0.036778 Loss_D_real: -0.032789 Loss_D_fake 0.007170
[155/5000][325/535][15689] Loss_D: -0.036780 Loss_G: -0.010395 Loss_D_real: -0.002912 Loss_D_fake 0.033868
[155/5000][330/535][15690] Loss_D: -0.038393 Loss_G: 0.041703 Loss_D_real: -0.033163 Loss_D_fake 0.005231
[155/5000][335/535][15691] Loss_D: -0.041411 Loss_G: 0.026260 Loss_D_real: -0.026759 Loss_D_fake 0.014652
[155/5000][340/535][15692] Loss_D: -0.041418 Loss_G: -0.000875 Loss_D_real: -0.005647 Loss_D_fake 0.035771
[155/5000][345/535][15693] Loss_D: -0.038068 Loss_G: 0.038437 Loss_D_real: -0.043928 Loss_D_fake -0.005860
[155/5000][350/535][15694] Loss_D: -0.041464 Loss_G: 0.000197 Loss_D_real: -0.004967 Loss_D_fake 0.036498
[155/5000][355/535][15695] Loss_D: -0.039016 Loss_G: 0.040417 Loss_D_real: -0.037385 Loss_D_fake 0.001631
[155/5000][360/535][15696] Loss_D: -0.040199 Loss_G: -0.014712 Loss_D_real: 0.002264 Loss_D_fake 0.042463
[155/5000][365/535][15697] Loss_D: -0.035416 Loss_G: 0.042617 Loss_D_real: -0.043737 Loss_D_fake -0.008321
[155/5000][370/535][15698] Loss_D: -0.038461 Loss_G: 0.004831 Loss_D_real: -0.009155 Loss_D_fake 0.029306
[155/5000][375/535][15699] Loss_D: -0.038017 Loss_G: 0.035566 Loss_D_real: -0.036855 Loss_D_fake 0.001162
[155/5000][380/535][15700] Loss_D: -0.042740 Loss_G: 0.019438 Loss_D_real: -0.025301 Loss_D_fake 0.017439
[155/5000][385/535][15701] Loss_D: -0.040513 Loss_G: 0.029879 Loss_D_real: -0.028346 Loss_D_fake 0.012167
[155/5000][390/535][15702] Loss_D: -0.040325 Loss_G: 0.040005 Loss_D_real: -0.034697 Loss_D_fake 0.005628
[155/5000][395/535][15703] Loss_D: -0.040862 Loss_G: 0.005690 Loss_D_real: -0.009777 Loss_D_fake 0.031086
[155/5000][400/535][15704] Loss_D: -0.038964 Loss_G: 0.034734 Loss_D_real: -0.036305 Loss_D_fake 0.002659
[155/5000][405/535][15705] Loss_D: -0.040333 Loss_G: 0.023322 Loss_D_real: -0.025237 Loss_D_fake 0.015096
[155/5000][410/535][15706] Loss_D: -0.041626 Loss_G: 0.036368 Loss_D_real: -0.023564 Loss_D_fake 0.018062
[155/5000][415/535][15707] Loss_D: -0.038000 Loss_G: -0.003803 Loss_D_real: -0.007019 Loss_D_fake 0.030981
[155/5000][420/535][15708] Loss_D: -0.039065 Loss_G: 0.033173 Loss_D_real: -0.036714 Loss_D_fake 0.002351
[155/5000][425/535][15709] Loss_D: -0.042305 Loss_G: 0.033628 Loss_D_real: -0.027429 Loss_D_fake 0.014875
[155/5000][430/535][15710] Loss_D: -0.039236 Loss_G: 0.010299 Loss_D_real: -0.014266 Loss_D_fake 0.024970
[155/5000][435/535][15711] Loss_D: -0.039682 Loss_G: 0.019173 Loss_D_real: -0.025205 Loss_D_fake 0.014477
[155/5000][440/535][15712] Loss_D: -0.039368 Loss_G: 0.024076 Loss_D_real: -0.027472 Loss_D_fake 0.011896
[155/5000][445/535][15713] Loss_D: -0.040563 Loss_G: 0.024639 Loss_D_real: -0.025236 Loss_D_fake 0.015327
[155/5000][450/535][15714] Loss_D: -0.038267 Loss_G: 0.054679 Loss_D_real: -0.048414 Loss_D_fake -0.010147
[155/5000][455/535][15715] Loss_D: -0.039098 Loss_G: 0.001416 Loss_D_real: -0.013048 Loss_D_fake 0.026050
[155/5000][460/535][15716] Loss_D: -0.039738 Loss_G: 0.024444 Loss_D_real: -0.031877 Loss_D_fake 0.007861
[155/5000][465/535][15717] Loss_D: -0.040961 Loss_G: 0.021147 Loss_D_real: -0.024167 Loss_D_fake 0.016793
[155/5000][470/535][15718] Loss_D: -0.039023 Loss_G: 0.008789 Loss_D_real: -0.016239 Loss_D_fake 0.022784
[155/5000][475/535][15719] Loss_D: -0.037983 Loss_G: 0.036660 Loss_D_real: -0.034977 Loss_D_fake 0.003006
[155/5000][480/535][15720] Loss_D: -0.039245 Loss_G: -0.004154 Loss_D_real: -0.011561 Loss_D_fake 0.027684
[155/5000][485/535][15721] Loss_D: -0.038470 Loss_G: 0.039465 Loss_D_real: -0.039257 Loss_D_fake -0.000787
[155/5000][490/535][15722] Loss_D: -0.038589 Loss_G: 0.002139 Loss_D_real: -0.004578 Loss_D_fake 0.034010
[155/5000][495/535][15723] Loss_D: -0.036864 Loss_G: 0.040113 Loss_D_real: -0.039145 Loss_D_fake -0.002281
[155/5000][500/535][15724] Loss_D: -0.038707 Loss_G: 0.002485 Loss_D_real: -0.007484 Loss_D_fake 0.031224
[155/5000][505/535][15725] Loss_D: -0.036220 Loss_G: 0.026972 Loss_D_real: -0.036143 Loss_D_fake 0.000077
[155/5000][510/535][15726] Loss_D: -0.041976 Loss_G: 0.014488 Loss_D_real: -0.019439 Loss_D_fake 0.022536
[155/5000][515/535][15727] Loss_D: -0.039594 Loss_G: 0.036402 Loss_D_real: -0.038191 Loss_D_fake 0.001403
[155/5000][520/535][15728] Loss_D: -0.040148 Loss_G: 0.018924 Loss_D_real: -0.021588 Loss_D_fake 0.018560
[155/5000][525/535][15729] Loss_D: -0.040425 Loss_G: -0.004339 Loss_D_real: -0.010915 Loss_D_fake 0.029510
[155/5000][530/535][15730] Loss_D: -0.036421 Loss_G: 0.042939 Loss_D_real: -0.046441 Loss_D_fake -0.010020
[155/5000][535/535][15731] Loss_D: -0.039333 Loss_G: 0.024283 Loss_D_real: -0.026382 Loss_D_fake 0.012951
[156/5000][5/535][15732] Loss_D: -0.039830 Loss_G: 0.046646 Loss_D_real: -0.043469 Loss_D_fake -0.003639
[156/5000][10/535][15733] Loss_D: -0.040586 Loss_G: 0.005952 Loss_D_real: -0.005627 Loss_D_fake 0.034959
[156/5000][15/535][15734] Loss_D: -0.039467 Loss_G: 0.016795 Loss_D_real: -0.024108 Loss_D_fake 0.015359
[156/5000][20/535][15735] Loss_D: -0.040197 Loss_G: 0.037580 Loss_D_real: -0.037659 Loss_D_fake 0.002538
[156/5000][25/535][15736] Loss_D: -0.042717 Loss_G: 0.011318 Loss_D_real: -0.021359 Loss_D_fake 0.021359
[156/5000][30/535][15737] Loss_D: -0.038092 Loss_G: 0.042720 Loss_D_real: -0.042333 Loss_D_fake -0.004241
[156/5000][35/535][15738] Loss_D: -0.039349 Loss_G: 0.006350 Loss_D_real: -0.012492 Loss_D_fake 0.026857
[156/5000][40/535][15739] Loss_D: -0.038417 Loss_G: 0.032767 Loss_D_real: -0.033575 Loss_D_fake 0.004843
[156/5000][45/535][15740] Loss_D: -0.037768 Loss_G: 0.023956 Loss_D_real: -0.014399 Loss_D_fake 0.023369
[156/5000][50/535][15741] Loss_D: -0.039777 Loss_G: 0.035379 Loss_D_real: -0.034968 Loss_D_fake 0.004810
[156/5000][55/535][15742] Loss_D: -0.041532 Loss_G: 0.016291 Loss_D_real: -0.018557 Loss_D_fake 0.022975
[156/5000][60/535][15743] Loss_D: -0.039524 Loss_G: 0.013221 Loss_D_real: -0.017503 Loss_D_fake 0.022022
[156/5000][65/535][15744] Loss_D: -0.039914 Loss_G: 0.034115 Loss_D_real: -0.030906 Loss_D_fake 0.009008
[156/5000][70/535][15745] Loss_D: -0.041635 Loss_G: 0.016240 Loss_D_real: -0.027748 Loss_D_fake 0.013887
[156/5000][75/535][15746] Loss_D: -0.040488 Loss_G: 0.018146 Loss_D_real: -0.021867 Loss_D_fake 0.018621
[156/5000][80/535][15747] Loss_D: -0.039163 Loss_G: 0.040867 Loss_D_real: -0.039050 Loss_D_fake 0.000113
[156/5000][85/535][15748] Loss_D: -0.038508 Loss_G: -0.001704 Loss_D_real: -0.009569 Loss_D_fake 0.028939
[156/5000][90/535][15749] Loss_D: -0.038061 Loss_G: 0.034740 Loss_D_real: -0.041527 Loss_D_fake -0.003465
[156/5000][95/535][15750] Loss_D: -0.038730 Loss_G: -0.007596 Loss_D_real: -0.004274 Loss_D_fake 0.034456
[156/5000][100/535][15751] Loss_D: -0.038004 Loss_G: 0.036317 Loss_D_real: -0.043301 Loss_D_fake -0.005297
[156/5000][105/535][15752] Loss_D: -0.038647 Loss_G: 0.009400 Loss_D_real: -0.013333 Loss_D_fake 0.025313
[156/5000][110/535][15753] Loss_D: -0.038054 Loss_G: 0.042839 Loss_D_real: -0.039009 Loss_D_fake -0.000955
[156/5000][115/535][15754] Loss_D: -0.039589 Loss_G: 0.006365 Loss_D_real: -0.011720 Loss_D_fake 0.027869
[156/5000][120/535][15755] Loss_D: -0.038873 Loss_G: 0.033575 Loss_D_real: -0.035034 Loss_D_fake 0.003839
[156/5000][125/535][15756] Loss_D: -0.039547 Loss_G: 0.019483 Loss_D_real: -0.020542 Loss_D_fake 0.019005
[156/5000][130/535][15757] Loss_D: -0.040593 Loss_G: 0.011184 Loss_D_real: -0.027026 Loss_D_fake 0.013568
[156/5000][135/535][15758] Loss_D: -0.037929 Loss_G: 0.016150 Loss_D_real: -0.021629 Loss_D_fake 0.016301
[156/5000][140/535][15759] Loss_D: -0.038230 Loss_G: 0.034116 Loss_D_real: -0.034779 Loss_D_fake 0.003450
[156/5000][145/535][15760] Loss_D: -0.038564 Loss_G: 0.007759 Loss_D_real: -0.008525 Loss_D_fake 0.030038
[156/5000][150/535][15761] Loss_D: -0.036212 Loss_G: 0.027082 Loss_D_real: -0.034872 Loss_D_fake 0.001340
[156/5000][155/535][15762] Loss_D: -0.038419 Loss_G: 0.030679 Loss_D_real: -0.026747 Loss_D_fake 0.011672
[156/5000][160/535][15763] Loss_D: -0.042078 Loss_G: 0.013804 Loss_D_real: -0.019898 Loss_D_fake 0.022180
[156/5000][165/535][15764] Loss_D: -0.040333 Loss_G: 0.017147 Loss_D_real: -0.023499 Loss_D_fake 0.016834
[156/5000][170/535][15765] Loss_D: -0.039268 Loss_G: 0.037627 Loss_D_real: -0.035175 Loss_D_fake 0.004094
[156/5000][175/535][15766] Loss_D: -0.040128 Loss_G: 0.049321 Loss_D_real: -0.040069 Loss_D_fake 0.000059
[156/5000][180/535][15767] Loss_D: -0.039726 Loss_G: -0.003250 Loss_D_real: -0.003835 Loss_D_fake 0.035891
[156/5000][185/535][15768] Loss_D: -0.036882 Loss_G: 0.049155 Loss_D_real: -0.046763 Loss_D_fake -0.009882
[156/5000][190/535][15769] Loss_D: -0.037398 Loss_G: -0.002427 Loss_D_real: -0.001041 Loss_D_fake 0.036357
[156/5000][195/535][15770] Loss_D: -0.038664 Loss_G: 0.035359 Loss_D_real: -0.030150 Loss_D_fake 0.008514
[156/5000][200/535][15771] Loss_D: -0.039702 Loss_G: 0.015081 Loss_D_real: -0.016678 Loss_D_fake 0.023024
[156/5000][205/535][15772] Loss_D: -0.041601 Loss_G: 0.020463 Loss_D_real: -0.024628 Loss_D_fake 0.016974
[156/5000][210/535][15773] Loss_D: -0.039557 Loss_G: 0.002240 Loss_D_real: -0.007689 Loss_D_fake 0.031868
[156/5000][215/535][15774] Loss_D: -0.037798 Loss_G: 0.033221 Loss_D_real: -0.029437 Loss_D_fake 0.008361
[156/5000][220/535][15775] Loss_D: -0.038163 Loss_G: 0.022804 Loss_D_real: -0.024615 Loss_D_fake 0.013548
[156/5000][225/535][15776] Loss_D: -0.038597 Loss_G: 0.029134 Loss_D_real: -0.026758 Loss_D_fake 0.011839
[156/5000][230/535][15777] Loss_D: -0.038293 Loss_G: 0.014802 Loss_D_real: -0.016246 Loss_D_fake 0.022047
[156/5000][235/535][15778] Loss_D: -0.039092 Loss_G: -0.000008 Loss_D_real: -0.017186 Loss_D_fake 0.021906
[156/5000][240/535][15779] Loss_D: -0.038209 Loss_G: 0.031076 Loss_D_real: -0.026685 Loss_D_fake 0.011524
[156/5000][245/535][15780] Loss_D: -0.038192 Loss_G: -0.009363 Loss_D_real: -0.001845 Loss_D_fake 0.036347
[156/5000][250/535][15781] Loss_D: -0.039383 Loss_G: 0.034958 Loss_D_real: -0.031136 Loss_D_fake 0.008247
[156/5000][255/535][15782] Loss_D: -0.039241 Loss_G: 0.020832 Loss_D_real: -0.023509 Loss_D_fake 0.015732
[156/5000][260/535][15783] Loss_D: -0.040303 Loss_G: 0.033552 Loss_D_real: -0.031629 Loss_D_fake 0.008674
[156/5000][265/535][15784] Loss_D: -0.041451 Loss_G: 0.029424 Loss_D_real: -0.031066 Loss_D_fake 0.010386
[156/5000][270/535][15785] Loss_D: -0.040984 Loss_G: 0.041021 Loss_D_real: -0.033957 Loss_D_fake 0.007027
[156/5000][275/535][15786] Loss_D: -0.038962 Loss_G: -0.011470 Loss_D_real: -0.002366 Loss_D_fake 0.036596
[156/5000][280/535][15787] Loss_D: -0.037983 Loss_G: 0.044724 Loss_D_real: -0.043194 Loss_D_fake -0.005211
[156/5000][285/535][15788] Loss_D: -0.040799 Loss_G: 0.025481 Loss_D_real: -0.024351 Loss_D_fake 0.016447
[156/5000][290/535][15789] Loss_D: -0.040130 Loss_G: 0.024731 Loss_D_real: -0.029650 Loss_D_fake 0.010480
[156/5000][295/535][15790] Loss_D: -0.042263 Loss_G: 0.043251 Loss_D_real: -0.030806 Loss_D_fake 0.011457
[156/5000][300/535][15791] Loss_D: -0.041647 Loss_G: 0.016035 Loss_D_real: -0.018205 Loss_D_fake 0.023441
[156/5000][305/535][15792] Loss_D: -0.041318 Loss_G: 0.021669 Loss_D_real: -0.023462 Loss_D_fake 0.017857
[156/5000][310/535][15793] Loss_D: -0.040223 Loss_G: 0.032692 Loss_D_real: -0.031366 Loss_D_fake 0.008857
[156/5000][315/535][15794] Loss_D: -0.038255 Loss_G: -0.003068 Loss_D_real: -0.006677 Loss_D_fake 0.031578
[156/5000][320/535][15795] Loss_D: -0.039564 Loss_G: 0.027710 Loss_D_real: -0.025065 Loss_D_fake 0.014500
[156/5000][325/535][15796] Loss_D: -0.041595 Loss_G: 0.008007 Loss_D_real: -0.011879 Loss_D_fake 0.029717
[156/5000][330/535][15797] Loss_D: -0.040116 Loss_G: 0.025180 Loss_D_real: -0.030732 Loss_D_fake 0.009383
[156/5000][335/535][15798] Loss_D: -0.041619 Loss_G: 0.028466 Loss_D_real: -0.025514 Loss_D_fake 0.016105
[156/5000][340/535][15799] Loss_D: -0.040442 Loss_G: 0.000034 Loss_D_real: -0.012373 Loss_D_fake 0.028069
[156/5000][345/535][15800] Loss_D: -0.038260 Loss_G: 0.043381 Loss_D_real: -0.042451 Loss_D_fake -0.004191
[156/5000][350/535][15801] Loss_D: -0.039465 Loss_G: 0.009820 Loss_D_real: -0.006778 Loss_D_fake 0.032686
[156/5000][355/535][15802] Loss_D: -0.039645 Loss_G: 0.002189 Loss_D_real: -0.011415 Loss_D_fake 0.028231
[156/5000][360/535][15803] Loss_D: -0.038262 Loss_G: 0.037198 Loss_D_real: -0.043732 Loss_D_fake -0.005469
[156/5000][365/535][15804] Loss_D: -0.041318 Loss_G: 0.002540 Loss_D_real: -0.015347 Loss_D_fake 0.025971
[156/5000][370/535][15805] Loss_D: -0.039278 Loss_G: 0.020709 Loss_D_real: -0.028593 Loss_D_fake 0.010685
[156/5000][375/535][15806] Loss_D: -0.039739 Loss_G: 0.010492 Loss_D_real: -0.014624 Loss_D_fake 0.025114
[156/5000][380/535][15807] Loss_D: -0.037889 Loss_G: 0.051588 Loss_D_real: -0.048323 Loss_D_fake -0.010435
[156/5000][385/535][15808] Loss_D: -0.038918 Loss_G: -0.007438 Loss_D_real: 0.000668 Loss_D_fake 0.039586
[156/5000][390/535][15809] Loss_D: -0.038057 Loss_G: 0.029665 Loss_D_real: -0.034536 Loss_D_fake 0.003521
[156/5000][395/535][15810] Loss_D: -0.039344 Loss_G: 0.002923 Loss_D_real: -0.012434 Loss_D_fake 0.026910
[156/5000][400/535][15811] Loss_D: -0.037922 Loss_G: 0.010230 Loss_D_real: -0.014122 Loss_D_fake 0.023800
[156/5000][405/535][15812] Loss_D: -0.036751 Loss_G: 0.042614 Loss_D_real: -0.043732 Loss_D_fake -0.006981
[156/5000][410/535][15813] Loss_D: -0.039730 Loss_G: 0.023922 Loss_D_real: -0.019995 Loss_D_fake 0.019735
[156/5000][415/535][15814] Loss_D: -0.039530 Loss_G: 0.037301 Loss_D_real: -0.042535 Loss_D_fake -0.003005
[156/5000][420/535][15815] Loss_D: -0.038302 Loss_G: 0.006664 Loss_D_real: -0.011440 Loss_D_fake 0.026861
[156/5000][425/535][15816] Loss_D: -0.041294 Loss_G: 0.021608 Loss_D_real: -0.030640 Loss_D_fake 0.010654
[156/5000][430/535][15817] Loss_D: -0.040431 Loss_G: 0.007150 Loss_D_real: -0.019176 Loss_D_fake 0.021255
[156/5000][435/535][15818] Loss_D: -0.041495 Loss_G: 0.021763 Loss_D_real: -0.022939 Loss_D_fake 0.018556
[156/5000][440/535][15819] Loss_D: -0.041129 Loss_G: -0.003488 Loss_D_real: -0.015811 Loss_D_fake 0.025318
[156/5000][445/535][15820] Loss_D: -0.040164 Loss_G: 0.039214 Loss_D_real: -0.041966 Loss_D_fake -0.001802
[156/5000][450/535][15821] Loss_D: -0.039321 Loss_G: 0.004882 Loss_D_real: -0.017756 Loss_D_fake 0.021565
[156/5000][455/535][15822] Loss_D: -0.039193 Loss_G: 0.023161 Loss_D_real: -0.024037 Loss_D_fake 0.015156
[156/5000][460/535][15823] Loss_D: -0.037558 Loss_G: 0.010495 Loss_D_real: -0.012903 Loss_D_fake 0.024656
[156/5000][465/535][15824] Loss_D: -0.039469 Loss_G: 0.005562 Loss_D_real: -0.019485 Loss_D_fake 0.019984
[156/5000][470/535][15825] Loss_D: -0.039434 Loss_G: 0.008525 Loss_D_real: -0.022081 Loss_D_fake 0.017353
[156/5000][475/535][15826] Loss_D: -0.039002 Loss_G: 0.031401 Loss_D_real: -0.036444 Loss_D_fake 0.002558
[156/5000][480/535][15827] Loss_D: -0.043054 Loss_G: 0.027269 Loss_D_real: -0.028914 Loss_D_fake 0.014140
[156/5000][485/535][15828] Loss_D: -0.039829 Loss_G: -0.007049 Loss_D_real: -0.007606 Loss_D_fake 0.032223
[156/5000][490/535][15829] Loss_D: -0.037155 Loss_G: 0.052425 Loss_D_real: -0.043459 Loss_D_fake -0.006303
[156/5000][495/535][15830] Loss_D: -0.038755 Loss_G: 0.001305 Loss_D_real: -0.000113 Loss_D_fake 0.038642
[156/5000][500/535][15831] Loss_D: -0.040201 Loss_G: 0.039244 Loss_D_real: -0.034155 Loss_D_fake 0.006045
[156/5000][505/535][15832] Loss_D: -0.040238 Loss_G: 0.007729 Loss_D_real: -0.019995 Loss_D_fake 0.020243
[156/5000][510/535][15833] Loss_D: -0.040399 Loss_G: 0.030524 Loss_D_real: -0.034670 Loss_D_fake 0.005729
[156/5000][515/535][15834] Loss_D: -0.040457 Loss_G: 0.009160 Loss_D_real: -0.011890 Loss_D_fake 0.028567
[156/5000][520/535][15835] Loss_D: -0.037768 Loss_G: 0.029563 Loss_D_real: -0.033403 Loss_D_fake 0.004365
[156/5000][525/535][15836] Loss_D: -0.039045 Loss_G: 0.004292 Loss_D_real: -0.011155 Loss_D_fake 0.027890
[156/5000][530/535][15837] Loss_D: -0.039433 Loss_G: 0.024190 Loss_D_real: -0.031586 Loss_D_fake 0.007848
[156/5000][535/535][15838] Loss_D: -0.042334 Loss_G: 0.018104 Loss_D_real: -0.027313 Loss_D_fake 0.015022
[157/5000][5/535][15839] Loss_D: -0.039552 Loss_G: 0.017911 Loss_D_real: -0.020151 Loss_D_fake 0.019401
[157/5000][10/535][15840] Loss_D: -0.039439 Loss_G: 0.042526 Loss_D_real: -0.039629 Loss_D_fake -0.000190
[157/5000][15/535][15841] Loss_D: -0.040215 Loss_G: 0.005677 Loss_D_real: -0.011330 Loss_D_fake 0.028884
[157/5000][20/535][15842] Loss_D: -0.036301 Loss_G: 0.035522 Loss_D_real: -0.042005 Loss_D_fake -0.005704
[157/5000][25/535][15843] Loss_D: -0.040301 Loss_G: 0.019949 Loss_D_real: -0.023149 Loss_D_fake 0.017152
[157/5000][30/535][15844] Loss_D: -0.040421 Loss_G: 0.000629 Loss_D_real: -0.006875 Loss_D_fake 0.033546
[157/5000][35/535][15845] Loss_D: -0.038356 Loss_G: 0.042313 Loss_D_real: -0.044486 Loss_D_fake -0.006130
[157/5000][40/535][15846] Loss_D: -0.036499 Loss_G: -0.016751 Loss_D_real: 0.012516 Loss_D_fake 0.049015
[157/5000][45/535][15847] Loss_D: -0.038750 Loss_G: 0.022417 Loss_D_real: -0.027664 Loss_D_fake 0.011086
[157/5000][50/535][15848] Loss_D: -0.038899 Loss_G: -0.000678 Loss_D_real: -0.013500 Loss_D_fake 0.025400
[157/5000][55/535][15849] Loss_D: -0.040393 Loss_G: 0.032654 Loss_D_real: -0.036160 Loss_D_fake 0.004233
[157/5000][60/535][15850] Loss_D: -0.041601 Loss_G: 0.045834 Loss_D_real: -0.037136 Loss_D_fake 0.004465
[157/5000][65/535][15851] Loss_D: -0.041649 Loss_G: 0.002089 Loss_D_real: -0.015235 Loss_D_fake 0.026413
[157/5000][70/535][15852] Loss_D: -0.038694 Loss_G: 0.039969 Loss_D_real: -0.033120 Loss_D_fake 0.005574
[157/5000][75/535][15853] Loss_D: -0.038431 Loss_G: 0.010631 Loss_D_real: -0.017970 Loss_D_fake 0.020461
[157/5000][80/535][15854] Loss_D: -0.037665 Loss_G: 0.035944 Loss_D_real: -0.034215 Loss_D_fake 0.003450
[157/5000][85/535][15855] Loss_D: -0.036953 Loss_G: 0.015049 Loss_D_real: -0.023325 Loss_D_fake 0.013628
[157/5000][90/535][15856] Loss_D: -0.038434 Loss_G: 0.006717 Loss_D_real: -0.012820 Loss_D_fake 0.025613
[157/5000][95/535][15857] Loss_D: -0.039081 Loss_G: 0.043290 Loss_D_real: -0.042345 Loss_D_fake -0.003264
[157/5000][100/535][15858] Loss_D: -0.038725 Loss_G: 0.009585 Loss_D_real: -0.009169 Loss_D_fake 0.029556
[157/5000][105/535][15859] Loss_D: -0.039084 Loss_G: 0.034058 Loss_D_real: -0.032793 Loss_D_fake 0.006292
[157/5000][110/535][15860] Loss_D: -0.035967 Loss_G: 0.037265 Loss_D_real: -0.041094 Loss_D_fake -0.005127
[157/5000][115/535][15861] Loss_D: -0.040439 Loss_G: 0.017912 Loss_D_real: -0.026360 Loss_D_fake 0.014079
[157/5000][120/535][15862] Loss_D: -0.040055 Loss_G: 0.021266 Loss_D_real: -0.020503 Loss_D_fake 0.019553
[157/5000][125/535][15863] Loss_D: -0.039189 Loss_G: 0.024453 Loss_D_real: -0.024596 Loss_D_fake 0.014592
[157/5000][130/535][15864] Loss_D: -0.040018 Loss_G: 0.041987 Loss_D_real: -0.040656 Loss_D_fake -0.000638
[157/5000][135/535][15865] Loss_D: -0.040367 Loss_G: -0.008443 Loss_D_real: -0.002383 Loss_D_fake 0.037984
[157/5000][140/535][15866] Loss_D: -0.039901 Loss_G: 0.028076 Loss_D_real: -0.032726 Loss_D_fake 0.007175
[157/5000][145/535][15867] Loss_D: -0.041809 Loss_G: 0.014026 Loss_D_real: -0.023386 Loss_D_fake 0.018424
[157/5000][150/535][15868] Loss_D: -0.039554 Loss_G: 0.044381 Loss_D_real: -0.042705 Loss_D_fake -0.003151
[157/5000][155/535][15869] Loss_D: -0.039155 Loss_G: -0.014452 Loss_D_real: 0.001362 Loss_D_fake 0.040517
[157/5000][160/535][15870] Loss_D: -0.035638 Loss_G: 0.028559 Loss_D_real: -0.035573 Loss_D_fake 0.000064
[157/5000][165/535][15871] Loss_D: -0.037556 Loss_G: -0.002216 Loss_D_real: -0.002254 Loss_D_fake 0.035302
[157/5000][170/535][15872] Loss_D: -0.038881 Loss_G: 0.023152 Loss_D_real: -0.029888 Loss_D_fake 0.008993
[157/5000][175/535][15873] Loss_D: -0.039972 Loss_G: 0.013611 Loss_D_real: -0.019846 Loss_D_fake 0.020126
[157/5000][180/535][15874] Loss_D: -0.038719 Loss_G: 0.042848 Loss_D_real: -0.042031 Loss_D_fake -0.003313
[157/5000][185/535][15875] Loss_D: -0.039542 Loss_G: 0.021534 Loss_D_real: -0.023354 Loss_D_fake 0.016188
[157/5000][190/535][15876] Loss_D: -0.040401 Loss_G: 0.036653 Loss_D_real: -0.035512 Loss_D_fake 0.004888
[157/5000][195/535][15877] Loss_D: -0.040788 Loss_G: 0.027605 Loss_D_real: -0.022317 Loss_D_fake 0.018471
[157/5000][200/535][15878] Loss_D: -0.039718 Loss_G: 0.040075 Loss_D_real: -0.032232 Loss_D_fake 0.007486
[157/5000][205/535][15879] Loss_D: -0.041715 Loss_G: 0.016072 Loss_D_real: -0.024377 Loss_D_fake 0.017338
[157/5000][210/535][15880] Loss_D: -0.040682 Loss_G: 0.032264 Loss_D_real: -0.038083 Loss_D_fake 0.002599
[157/5000][215/535][15881] Loss_D: -0.042089 Loss_G: 0.032404 Loss_D_real: -0.027485 Loss_D_fake 0.014604
[157/5000][220/535][15882] Loss_D: -0.037259 Loss_G: 0.001349 Loss_D_real: 0.001074 Loss_D_fake 0.038333
[157/5000][225/535][15883] Loss_D: -0.039726 Loss_G: 0.036864 Loss_D_real: -0.034469 Loss_D_fake 0.005256
[157/5000][230/535][15884] Loss_D: -0.040045 Loss_G: 0.000953 Loss_D_real: -0.010143 Loss_D_fake 0.029902
[157/5000][235/535][15885] Loss_D: -0.039467 Loss_G: 0.039737 Loss_D_real: -0.042402 Loss_D_fake -0.002935
[157/5000][240/535][15886] Loss_D: -0.039914 Loss_G: 0.002847 Loss_D_real: -0.013738 Loss_D_fake 0.026175
[157/5000][245/535][15887] Loss_D: -0.038014 Loss_G: 0.034321 Loss_D_real: -0.034610 Loss_D_fake 0.003404
[157/5000][250/535][15888] Loss_D: -0.039139 Loss_G: 0.027228 Loss_D_real: -0.025750 Loss_D_fake 0.013388
[157/5000][255/535][15889] Loss_D: -0.040124 Loss_G: 0.010909 Loss_D_real: -0.018045 Loss_D_fake 0.022079
[157/5000][260/535][15890] Loss_D: -0.039239 Loss_G: 0.018096 Loss_D_real: -0.024347 Loss_D_fake 0.014892
[157/5000][265/535][15891] Loss_D: -0.038671 Loss_G: 0.023197 Loss_D_real: -0.028492 Loss_D_fake 0.010178
[157/5000][270/535][15892] Loss_D: -0.039925 Loss_G: 0.023156 Loss_D_real: -0.023625 Loss_D_fake 0.016300
[157/5000][275/535][15893] Loss_D: -0.039781 Loss_G: 0.024829 Loss_D_real: -0.022969 Loss_D_fake 0.016811
[157/5000][280/535][15894] Loss_D: -0.039651 Loss_G: -0.003227 Loss_D_real: -0.009630 Loss_D_fake 0.030020
[157/5000][285/535][15895] Loss_D: -0.041341 Loss_G: 0.043711 Loss_D_real: -0.039905 Loss_D_fake 0.001436
[157/5000][290/535][15896] Loss_D: -0.039865 Loss_G: 0.014578 Loss_D_real: -0.024897 Loss_D_fake 0.014967
[157/5000][295/535][15897] Loss_D: -0.037900 Loss_G: 0.047980 Loss_D_real: -0.047229 Loss_D_fake -0.009329
[157/5000][300/535][15898] Loss_D: -0.039671 Loss_G: 0.000361 Loss_D_real: -0.007752 Loss_D_fake 0.031920
[157/5000][305/535][15899] Loss_D: -0.038650 Loss_G: 0.028044 Loss_D_real: -0.028286 Loss_D_fake 0.010364
[157/5000][310/535][15900] Loss_D: -0.040155 Loss_G: 0.011780 Loss_D_real: -0.024516 Loss_D_fake 0.015639
[157/5000][315/535][15901] Loss_D: -0.036364 Loss_G: 0.010895 Loss_D_real: -0.018305 Loss_D_fake 0.018059
[157/5000][320/535][15902] Loss_D: -0.038201 Loss_G: 0.024737 Loss_D_real: -0.035815 Loss_D_fake 0.002386
[157/5000][325/535][15903] Loss_D: -0.038627 Loss_G: 0.001965 Loss_D_real: -0.012262 Loss_D_fake 0.026365
[157/5000][330/535][15904] Loss_D: -0.037011 Loss_G: 0.031674 Loss_D_real: -0.034668 Loss_D_fake 0.002344
[157/5000][335/535][15905] Loss_D: -0.039132 Loss_G: -0.004622 Loss_D_real: -0.004744 Loss_D_fake 0.034388
[157/5000][340/535][15906] Loss_D: -0.036485 Loss_G: 0.038802 Loss_D_real: -0.037820 Loss_D_fake -0.001335
[157/5000][345/535][15907] Loss_D: -0.038310 Loss_G: -0.006740 Loss_D_real: -0.003654 Loss_D_fake 0.034656
[157/5000][350/535][15908] Loss_D: -0.036747 Loss_G: 0.025113 Loss_D_real: -0.028399 Loss_D_fake 0.008348
[157/5000][355/535][15909] Loss_D: -0.041850 Loss_G: 0.008943 Loss_D_real: -0.013247 Loss_D_fake 0.028603
[157/5000][360/535][15910] Loss_D: -0.039960 Loss_G: -0.000084 Loss_D_real: -0.009529 Loss_D_fake 0.030431
[157/5000][365/535][15911] Loss_D: -0.038829 Loss_G: 0.041925 Loss_D_real: -0.041515 Loss_D_fake -0.002685
[157/5000][370/535][15912] Loss_D: -0.039763 Loss_G: 0.008400 Loss_D_real: -0.012731 Loss_D_fake 0.027031
[157/5000][375/535][15913] Loss_D: -0.039321 Loss_G: 0.045195 Loss_D_real: -0.042763 Loss_D_fake -0.003442
[157/5000][380/535][15914] Loss_D: -0.040568 Loss_G: 0.002349 Loss_D_real: -0.011745 Loss_D_fake 0.028823
[157/5000][385/535][15915] Loss_D: -0.039855 Loss_G: 0.028613 Loss_D_real: -0.029108 Loss_D_fake 0.010746
[157/5000][390/535][15916] Loss_D: -0.039207 Loss_G: 0.023555 Loss_D_real: -0.030361 Loss_D_fake 0.008846
[157/5000][395/535][15917] Loss_D: -0.039988 Loss_G: 0.042561 Loss_D_real: -0.038424 Loss_D_fake 0.001564
[157/5000][400/535][15918] Loss_D: -0.041931 Loss_G: 0.004026 Loss_D_real: -0.016873 Loss_D_fake 0.025058
[157/5000][405/535][15919] Loss_D: -0.038711 Loss_G: 0.030026 Loss_D_real: -0.031477 Loss_D_fake 0.007235
[157/5000][410/535][15920] Loss_D: -0.040630 Loss_G: 0.015887 Loss_D_real: -0.021294 Loss_D_fake 0.019337
[157/5000][415/535][15921] Loss_D: -0.041603 Loss_G: 0.017131 Loss_D_real: -0.019146 Loss_D_fake 0.022457
[157/5000][420/535][15922] Loss_D: -0.040005 Loss_G: 0.008828 Loss_D_real: -0.016233 Loss_D_fake 0.023771
[157/5000][425/535][15923] Loss_D: -0.038904 Loss_G: 0.038030 Loss_D_real: -0.038123 Loss_D_fake 0.000781
[157/5000][430/535][15924] Loss_D: -0.038352 Loss_G: -0.008253 Loss_D_real: -0.003786 Loss_D_fake 0.034567
[157/5000][435/535][15925] Loss_D: -0.038046 Loss_G: 0.030756 Loss_D_real: -0.033171 Loss_D_fake 0.004874
[157/5000][440/535][15926] Loss_D: -0.036542 Loss_G: 0.049889 Loss_D_real: -0.051757 Loss_D_fake -0.015215
[157/5000][445/535][15927] Loss_D: -0.038762 Loss_G: -0.002734 Loss_D_real: -0.006530 Loss_D_fake 0.032232
[157/5000][450/535][15928] Loss_D: -0.038459 Loss_G: 0.020657 Loss_D_real: -0.026815 Loss_D_fake 0.011643
[157/5000][455/535][15929] Loss_D: -0.038721 Loss_G: 0.001776 Loss_D_real: -0.011407 Loss_D_fake 0.027315
[157/5000][460/535][15930] Loss_D: -0.038358 Loss_G: 0.044196 Loss_D_real: -0.028298 Loss_D_fake 0.010060
[157/5000][465/535][15931] Loss_D: -0.040397 Loss_G: 0.010578 Loss_D_real: -0.015752 Loss_D_fake 0.024645
[157/5000][470/535][15932] Loss_D: -0.038764 Loss_G: 0.033736 Loss_D_real: -0.035955 Loss_D_fake 0.002809
[157/5000][475/535][15933] Loss_D: -0.040629 Loss_G: 0.017832 Loss_D_real: -0.021015 Loss_D_fake 0.019615
[157/5000][480/535][15934] Loss_D: -0.040304 Loss_G: 0.033713 Loss_D_real: -0.029727 Loss_D_fake 0.010576
[157/5000][485/535][15935] Loss_D: -0.041114 Loss_G: 0.022195 Loss_D_real: -0.022423 Loss_D_fake 0.018691
[157/5000][490/535][15936] Loss_D: -0.037537 Loss_G: -0.011073 Loss_D_real: -0.005667 Loss_D_fake 0.031871
[157/5000][495/535][15937] Loss_D: -0.039108 Loss_G: 0.031243 Loss_D_real: -0.038149 Loss_D_fake 0.000959
[157/5000][500/535][15938] Loss_D: -0.039734 Loss_G: 0.029726 Loss_D_real: -0.027019 Loss_D_fake 0.012715
[157/5000][505/535][15939] Loss_D: -0.042881 Loss_G: 0.006034 Loss_D_real: -0.015313 Loss_D_fake 0.027568
[157/5000][510/535][15940] Loss_D: -0.039035 Loss_G: 0.028557 Loss_D_real: -0.031671 Loss_D_fake 0.007364
[157/5000][515/535][15941] Loss_D: -0.037452 Loss_G: -0.003117 Loss_D_real: -0.011975 Loss_D_fake 0.025477
[157/5000][520/535][15942] Loss_D: -0.037681 Loss_G: 0.049493 Loss_D_real: -0.042432 Loss_D_fake -0.004751
[157/5000][525/535][15943] Loss_D: -0.040569 Loss_G: -0.000166 Loss_D_real: -0.013320 Loss_D_fake 0.027248
[157/5000][530/535][15944] Loss_D: -0.037190 Loss_G: 0.034882 Loss_D_real: -0.040497 Loss_D_fake -0.003307
[157/5000][535/535][15945] Loss_D: -0.038353 Loss_G: 0.012841 Loss_D_real: -0.013761 Loss_D_fake 0.024591
[158/5000][5/535][15946] Loss_D: -0.040453 Loss_G: 0.025118 Loss_D_real: -0.031584 Loss_D_fake 0.008868
[158/5000][10/535][15947] Loss_D: -0.040398 Loss_G: 0.022100 Loss_D_real: -0.029298 Loss_D_fake 0.011100
[158/5000][15/535][15948] Loss_D: -0.038153 Loss_G: 0.045586 Loss_D_real: -0.044485 Loss_D_fake -0.006333
[158/5000][20/535][15949] Loss_D: -0.039892 Loss_G: 0.014441 Loss_D_real: -0.018125 Loss_D_fake 0.021767
[158/5000][25/535][15950] Loss_D: -0.038138 Loss_G: 0.003101 Loss_D_real: -0.018725 Loss_D_fake 0.019413
[158/5000][30/535][15951] Loss_D: -0.038416 Loss_G: 0.048523 Loss_D_real: -0.039413 Loss_D_fake -0.000998
[158/5000][35/535][15952] Loss_D: -0.039127 Loss_G: 0.037190 Loss_D_real: -0.034667 Loss_D_fake 0.004461
[158/5000][40/535][15953] Loss_D: -0.040256 Loss_G: 0.014987 Loss_D_real: -0.019603 Loss_D_fake 0.020653
[158/5000][45/535][15954] Loss_D: -0.038269 Loss_G: 0.002015 Loss_D_real: -0.015986 Loss_D_fake 0.022283
[158/5000][50/535][15955] Loss_D: -0.037663 Loss_G: 0.026768 Loss_D_real: -0.038735 Loss_D_fake -0.001073
[158/5000][55/535][15956] Loss_D: -0.040210 Loss_G: 0.028740 Loss_D_real: -0.032118 Loss_D_fake 0.008092
[158/5000][60/535][15957] Loss_D: -0.038278 Loss_G: 0.042826 Loss_D_real: -0.037326 Loss_D_fake 0.000952
[158/5000][65/535][15958] Loss_D: -0.036861 Loss_G: -0.011571 Loss_D_real: -0.005927 Loss_D_fake 0.030934
[158/5000][70/535][15959] Loss_D: -0.035995 Loss_G: 0.037075 Loss_D_real: -0.041534 Loss_D_fake -0.005539
[158/5000][75/535][15960] Loss_D: -0.037532 Loss_G: -0.003593 Loss_D_real: -0.005647 Loss_D_fake 0.031885
[158/5000][80/535][15961] Loss_D: -0.037275 Loss_G: 0.024566 Loss_D_real: -0.019276 Loss_D_fake 0.017999
[158/5000][85/535][15962] Loss_D: -0.037579 Loss_G: 0.004321 Loss_D_real: -0.014001 Loss_D_fake 0.023578
[158/5000][90/535][15963] Loss_D: -0.039709 Loss_G: 0.018704 Loss_D_real: -0.025450 Loss_D_fake 0.014259
[158/5000][95/535][15964] Loss_D: -0.039561 Loss_G: 0.039169 Loss_D_real: -0.035467 Loss_D_fake 0.004093
[158/5000][100/535][15965] Loss_D: -0.039482 Loss_G: -0.010628 Loss_D_real: -0.005546 Loss_D_fake 0.033936
[158/5000][105/535][15966] Loss_D: -0.039502 Loss_G: 0.017409 Loss_D_real: -0.026221 Loss_D_fake 0.013280
[158/5000][110/535][15967] Loss_D: -0.041153 Loss_G: 0.029240 Loss_D_real: -0.025673 Loss_D_fake 0.015480
[158/5000][115/535][15968] Loss_D: -0.039966 Loss_G: 0.035253 Loss_D_real: -0.031369 Loss_D_fake 0.008597
[158/5000][120/535][15969] Loss_D: -0.041121 Loss_G: 0.006151 Loss_D_real: -0.017590 Loss_D_fake 0.023531
[158/5000][125/535][15970] Loss_D: -0.039569 Loss_G: 0.026387 Loss_D_real: -0.025581 Loss_D_fake 0.013989
[158/5000][130/535][15971] Loss_D: -0.039311 Loss_G: 0.046859 Loss_D_real: -0.041472 Loss_D_fake -0.002162
[158/5000][135/535][15972] Loss_D: -0.035081 Loss_G: -0.009898 Loss_D_real: 0.003395 Loss_D_fake 0.038476
[158/5000][140/535][15973] Loss_D: -0.038506 Loss_G: 0.027403 Loss_D_real: -0.034181 Loss_D_fake 0.004324
[158/5000][145/535][15974] Loss_D: -0.037643 Loss_G: -0.010540 Loss_D_real: -0.003710 Loss_D_fake 0.033933
[158/5000][150/535][15975] Loss_D: -0.036806 Loss_G: 0.038504 Loss_D_real: -0.042567 Loss_D_fake -0.005760
[158/5000][155/535][15976] Loss_D: -0.038913 Loss_G: 0.018163 Loss_D_real: -0.016500 Loss_D_fake 0.022413
[158/5000][160/535][15977] Loss_D: -0.039351 Loss_G: 0.013651 Loss_D_real: -0.020760 Loss_D_fake 0.018591
[158/5000][165/535][15978] Loss_D: -0.041130 Loss_G: 0.003643 Loss_D_real: -0.011043 Loss_D_fake 0.030087
[158/5000][170/535][15979] Loss_D: -0.039419 Loss_G: 0.036284 Loss_D_real: -0.030536 Loss_D_fake 0.008883
[158/5000][175/535][15980] Loss_D: -0.039904 Loss_G: 0.021432 Loss_D_real: -0.017196 Loss_D_fake 0.022708
[158/5000][180/535][15981] Loss_D: -0.037996 Loss_G: -0.002102 Loss_D_real: -0.009270 Loss_D_fake 0.028726
[158/5000][185/535][15982] Loss_D: -0.039969 Loss_G: 0.039517 Loss_D_real: -0.032983 Loss_D_fake 0.006987
[158/5000][190/535][15983] Loss_D: -0.040419 Loss_G: 0.001681 Loss_D_real: -0.003691 Loss_D_fake 0.036729
[158/5000][195/535][15984] Loss_D: -0.040291 Loss_G: 0.035062 Loss_D_real: -0.035863 Loss_D_fake 0.004428
[158/5000][200/535][15985] Loss_D: -0.040177 Loss_G: 0.045551 Loss_D_real: -0.040421 Loss_D_fake -0.000244
[158/5000][205/535][15986] Loss_D: -0.040244 Loss_G: 0.006155 Loss_D_real: -0.008110 Loss_D_fake 0.032133
[158/5000][210/535][15987] Loss_D: -0.040027 Loss_G: 0.016571 Loss_D_real: -0.019096 Loss_D_fake 0.020931
[158/5000][215/535][15988] Loss_D: -0.040878 Loss_G: 0.037212 Loss_D_real: -0.029310 Loss_D_fake 0.011568
[158/5000][220/535][15989] Loss_D: -0.041837 Loss_G: 0.011523 Loss_D_real: -0.025428 Loss_D_fake 0.016408
[158/5000][225/535][15990] Loss_D: -0.039113 Loss_G: 0.009051 Loss_D_real: -0.010319 Loss_D_fake 0.028794
[158/5000][230/535][15991] Loss_D: -0.039913 Loss_G: 0.026922 Loss_D_real: -0.026453 Loss_D_fake 0.013460
[158/5000][235/535][15992] Loss_D: -0.039427 Loss_G: 0.034288 Loss_D_real: -0.033808 Loss_D_fake 0.005620
[158/5000][240/535][15993] Loss_D: -0.041175 Loss_G: 0.009179 Loss_D_real: -0.012619 Loss_D_fake 0.028556
[158/5000][245/535][15994] Loss_D: -0.040168 Loss_G: 0.023176 Loss_D_real: -0.023949 Loss_D_fake 0.016219
[158/5000][250/535][15995] Loss_D: -0.039988 Loss_G: 0.045413 Loss_D_real: -0.036165 Loss_D_fake 0.003823
[158/5000][255/535][15996] Loss_D: -0.037752 Loss_G: -0.018670 Loss_D_real: -0.005258 Loss_D_fake 0.032494
[158/5000][260/535][15997] Loss_D: -0.036225 Loss_G: 0.036874 Loss_D_real: -0.036175 Loss_D_fake 0.000050
[158/5000][265/535][15998] Loss_D: -0.037201 Loss_G: -0.000333 Loss_D_real: -0.004299 Loss_D_fake 0.032902
[158/5000][270/535][15999] Loss_D: -0.037854 Loss_G: 0.027398 Loss_D_real: -0.029036 Loss_D_fake 0.008818
[158/5000][275/535][16000] Loss_D: -0.038316 Loss_G: 0.016300 Loss_D_real: -0.017789 Loss_D_fake 0.020528
[158/5000][375/535][16001] Loss_D: -0.043387 Loss_G: 0.035022 Loss_D_real: -0.035469 Loss_D_fake 0.007919
[158/5000][380/535][16002] Loss_D: -0.041284 Loss_G: 0.029318 Loss_D_real: -0.028007 Loss_D_fake 0.013277
[158/5000][385/535][16003] Loss_D: -0.037304 Loss_G: 0.027798 Loss_D_real: -0.030113 Loss_D_fake 0.007191
[158/5000][390/535][16004] Loss_D: -0.039237 Loss_G: 0.026984 Loss_D_real: -0.032644 Loss_D_fake 0.006593
[158/5000][395/535][16005] Loss_D: -0.040116 Loss_G: 0.021291 Loss_D_real: -0.026744 Loss_D_fake 0.013372
[158/5000][400/535][16006] Loss_D: -0.037735 Loss_G: 0.028950 Loss_D_real: -0.035856 Loss_D_fake 0.001880
[158/5000][405/535][16007] Loss_D: -0.039655 Loss_G: 0.020689 Loss_D_real: -0.024593 Loss_D_fake 0.015061
[158/5000][410/535][16008] Loss_D: -0.037829 Loss_G: 0.000397 Loss_D_real: -0.011859 Loss_D_fake 0.025970
[158/5000][415/535][16009] Loss_D: -0.038553 Loss_G: 0.034225 Loss_D_real: -0.033617 Loss_D_fake 0.004936
[158/5000][420/535][16010] Loss_D: -0.038626 Loss_G: 0.015476 Loss_D_real: -0.008781 Loss_D_fake 0.029846
[158/5000][425/535][16011] Loss_D: -0.039715 Loss_G: 0.000109 Loss_D_real: -0.012840 Loss_D_fake 0.026875
[158/5000][430/535][16012] Loss_D: -0.037424 Loss_G: 0.038264 Loss_D_real: -0.046985 Loss_D_fake -0.009561
[158/5000][435/535][16013] Loss_D: -0.041065 Loss_G: 0.035209 Loss_D_real: -0.026136 Loss_D_fake 0.014928
[158/5000][440/535][16014] Loss_D: -0.040911 Loss_G: 0.027743 Loss_D_real: -0.030012 Loss_D_fake 0.010899
[158/5000][445/535][16015] Loss_D: -0.040259 Loss_G: 0.013855 Loss_D_real: -0.021659 Loss_D_fake 0.018599
[158/5000][450/535][16016] Loss_D: -0.039505 Loss_G: 0.047180 Loss_D_real: -0.043875 Loss_D_fake -0.004369
[158/5000][455/535][16017] Loss_D: -0.039240 Loss_G: 0.005435 Loss_D_real: -0.013351 Loss_D_fake 0.025889
[158/5000][460/535][16018] Loss_D: -0.039337 Loss_G: 0.014635 Loss_D_real: -0.020966 Loss_D_fake 0.018372
[158/5000][465/535][16019] Loss_D: -0.040848 Loss_G: 0.021174 Loss_D_real: -0.024910 Loss_D_fake 0.015938
[158/5000][470/535][16020] Loss_D: -0.039858 Loss_G: 0.037917 Loss_D_real: -0.035175 Loss_D_fake 0.004683
[158/5000][475/535][16021] Loss_D: -0.041490 Loss_G: -0.002491 Loss_D_real: -0.013482 Loss_D_fake 0.028008
[158/5000][480/535][16022] Loss_D: -0.038220 Loss_G: 0.029930 Loss_D_real: -0.032758 Loss_D_fake 0.005461
[158/5000][485/535][16023] Loss_D: -0.038727 Loss_G: -0.001559 Loss_D_real: -0.008196 Loss_D_fake 0.030531
[158/5000][490/535][16024] Loss_D: -0.036438 Loss_G: 0.038078 Loss_D_real: -0.039522 Loss_D_fake -0.003084
[158/5000][495/535][16025] Loss_D: -0.041647 Loss_G: 0.004747 Loss_D_real: -0.017925 Loss_D_fake 0.023722
[158/5000][500/535][16026] Loss_D: -0.039706 Loss_G: 0.037250 Loss_D_real: -0.036902 Loss_D_fake 0.002804
[158/5000][505/535][16027] Loss_D: -0.039841 Loss_G: 0.022595 Loss_D_real: -0.023752 Loss_D_fake 0.016089
[158/5000][510/535][16028] Loss_D: -0.039563 Loss_G: -0.010456 Loss_D_real: -0.006287 Loss_D_fake 0.033276
[158/5000][515/535][16029] Loss_D: -0.038301 Loss_G: 0.027485 Loss_D_real: -0.029939 Loss_D_fake 0.008362
[158/5000][520/535][16030] Loss_D: -0.038200 Loss_G: -0.007262 Loss_D_real: -0.001251 Loss_D_fake 0.036949
[158/5000][525/535][16031] Loss_D: -0.036699 Loss_G: 0.038396 Loss_D_real: -0.039510 Loss_D_fake -0.002811
[158/5000][530/535][16032] Loss_D: -0.039691 Loss_G: 0.006866 Loss_D_real: -0.007068 Loss_D_fake 0.032623
[158/5000][535/535][16033] Loss_D: -0.037156 Loss_G: 0.010578 Loss_D_real: -0.036953 Loss_D_fake 0.000204
[159/5000][5/535][16034] Loss_D: -0.037904 Loss_G: 0.029670 Loss_D_real: -0.031644 Loss_D_fake 0.006259
[159/5000][10/535][16035] Loss_D: -0.038683 Loss_G: -0.010856 Loss_D_real: 0.003451 Loss_D_fake 0.042135
[159/5000][15/535][16036] Loss_D: -0.039486 Loss_G: 0.028507 Loss_D_real: -0.028224 Loss_D_fake 0.011262
[159/5000][20/535][16037] Loss_D: -0.039665 Loss_G: 0.030069 Loss_D_real: -0.030045 Loss_D_fake 0.009620
[159/5000][25/535][16038] Loss_D: -0.040539 Loss_G: 0.014117 Loss_D_real: -0.018343 Loss_D_fake 0.022196
[159/5000][30/535][16039] Loss_D: -0.040084 Loss_G: 0.026731 Loss_D_real: -0.025887 Loss_D_fake 0.014197
[159/5000][35/535][16040] Loss_D: -0.040264 Loss_G: 0.015362 Loss_D_real: -0.019862 Loss_D_fake 0.020402
[159/5000][40/535][16041] Loss_D: -0.037544 Loss_G: 0.015996 Loss_D_real: -0.023020 Loss_D_fake 0.014523
[159/5000][45/535][16042] Loss_D: -0.038459 Loss_G: 0.036846 Loss_D_real: -0.034312 Loss_D_fake 0.004148
[159/5000][50/535][16043] Loss_D: -0.040707 Loss_G: 0.026605 Loss_D_real: -0.031559 Loss_D_fake 0.009148
[159/5000][55/535][16044] Loss_D: -0.038056 Loss_G: 0.002450 Loss_D_real: -0.011710 Loss_D_fake 0.026347
[159/5000][60/535][16045] Loss_D: -0.039533 Loss_G: 0.032644 Loss_D_real: -0.036421 Loss_D_fake 0.003111
[159/5000][65/535][16046] Loss_D: -0.041056 Loss_G: 0.004506 Loss_D_real: -0.018645 Loss_D_fake 0.022411
[159/5000][70/535][16047] Loss_D: -0.039039 Loss_G: 0.022725 Loss_D_real: -0.024701 Loss_D_fake 0.014338
[159/5000][75/535][16048] Loss_D: -0.037802 Loss_G: 0.003403 Loss_D_real: -0.009094 Loss_D_fake 0.028707
[159/5000][80/535][16049] Loss_D: -0.039457 Loss_G: 0.036486 Loss_D_real: -0.029333 Loss_D_fake 0.010123
[159/5000][85/535][16050] Loss_D: -0.037533 Loss_G: 0.013284 Loss_D_real: -0.012557 Loss_D_fake 0.024976
[159/5000][90/535][16051] Loss_D: -0.038566 Loss_G: 0.023270 Loss_D_real: -0.027260 Loss_D_fake 0.011306
[159/5000][95/535][16052] Loss_D: -0.039839 Loss_G: 0.018098 Loss_D_real: -0.019750 Loss_D_fake 0.020089
[159/5000][100/535][16053] Loss_D: -0.039419 Loss_G: 0.034717 Loss_D_real: -0.032682 Loss_D_fake 0.006736
[159/5000][105/535][16054] Loss_D: -0.038432 Loss_G: 0.021609 Loss_D_real: -0.024878 Loss_D_fake 0.013553
[159/5000][110/535][16055] Loss_D: -0.038459 Loss_G: 0.036680 Loss_D_real: -0.037837 Loss_D_fake 0.000622
[159/5000][115/535][16056] Loss_D: -0.037809 Loss_G: 0.026284 Loss_D_real: -0.029128 Loss_D_fake 0.008681
[159/5000][120/535][16057] Loss_D: -0.039581 Loss_G: 0.027508 Loss_D_real: -0.026183 Loss_D_fake 0.013398
[159/5000][125/535][16058] Loss_D: -0.041113 Loss_G: 0.005079 Loss_D_real: -0.014780 Loss_D_fake 0.026333
[159/5000][130/535][16059] Loss_D: -0.038043 Loss_G: 0.003509 Loss_D_real: -0.013661 Loss_D_fake 0.024381
[159/5000][135/535][16060] Loss_D: -0.035584 Loss_G: 0.047053 Loss_D_real: -0.045504 Loss_D_fake -0.009920
[159/5000][140/535][16061] Loss_D: -0.040364 Loss_G: 0.011410 Loss_D_real: -0.013664 Loss_D_fake 0.026700
[159/5000][145/535][16062] Loss_D: -0.040521 Loss_G: 0.015587 Loss_D_real: -0.024262 Loss_D_fake 0.016259
[159/5000][150/535][16063] Loss_D: -0.037786 Loss_G: 0.041114 Loss_D_real: -0.038578 Loss_D_fake -0.000791
[159/5000][155/535][16064] Loss_D: -0.040148 Loss_G: 0.018280 Loss_D_real: -0.023404 Loss_D_fake 0.016744
[159/5000][160/535][16065] Loss_D: -0.040927 Loss_G: 0.003959 Loss_D_real: -0.018466 Loss_D_fake 0.022461
[159/5000][165/535][16066] Loss_D: -0.037945 Loss_G: 0.038177 Loss_D_real: -0.042010 Loss_D_fake -0.004065
[159/5000][170/535][16067] Loss_D: -0.038286 Loss_G: 0.010530 Loss_D_real: -0.012705 Loss_D_fake 0.025581
[159/5000][175/535][16068] Loss_D: -0.039096 Loss_G: 0.013947 Loss_D_real: -0.025110 Loss_D_fake 0.013985
[159/5000][180/535][16069] Loss_D: -0.038862 Loss_G: 0.014437 Loss_D_real: -0.020542 Loss_D_fake 0.018321
[159/5000][185/535][16070] Loss_D: -0.034700 Loss_G: 0.051578 Loss_D_real: -0.049686 Loss_D_fake -0.014986
[159/5000][190/535][16071] Loss_D: -0.036361 Loss_G: -0.000742 Loss_D_real: -0.009470 Loss_D_fake 0.026891
[159/5000][195/535][16072] Loss_D: -0.037444 Loss_G: 0.004702 Loss_D_real: -0.007012 Loss_D_fake 0.030432
[159/5000][200/535][16073] Loss_D: -0.038575 Loss_G: 0.013334 Loss_D_real: -0.021407 Loss_D_fake 0.017169
[159/5000][205/535][16074] Loss_D: -0.037633 Loss_G: 0.040427 Loss_D_real: -0.040903 Loss_D_fake -0.003270
[159/5000][210/535][16075] Loss_D: -0.039047 Loss_G: 0.022303 Loss_D_real: -0.023449 Loss_D_fake 0.015598
[159/5000][215/535][16076] Loss_D: -0.038710 Loss_G: 0.055704 Loss_D_real: -0.045181 Loss_D_fake -0.006471
[159/5000][220/535][16077] Loss_D: -0.040181 Loss_G: -0.010686 Loss_D_real: -0.005414 Loss_D_fake 0.034767
[159/5000][225/535][16078] Loss_D: -0.039275 Loss_G: 0.014850 Loss_D_real: -0.020065 Loss_D_fake 0.019211
[159/5000][230/535][16079] Loss_D: -0.037098 Loss_G: 0.048267 Loss_D_real: -0.046349 Loss_D_fake -0.009251
[159/5000][235/535][16080] Loss_D: -0.040100 Loss_G: -0.000535 Loss_D_real: -0.008973 Loss_D_fake 0.031128
[159/5000][240/535][16081] Loss_D: -0.036308 Loss_G: 0.050510 Loss_D_real: -0.044282 Loss_D_fake -0.007974
[159/5000][245/535][16082] Loss_D: -0.038438 Loss_G: 0.041609 Loss_D_real: -0.034605 Loss_D_fake 0.003833
[159/5000][250/535][16083] Loss_D: -0.042546 Loss_G: 0.011681 Loss_D_real: -0.015510 Loss_D_fake 0.027036
[159/5000][255/535][16084] Loss_D: -0.040067 Loss_G: 0.041821 Loss_D_real: -0.038327 Loss_D_fake 0.001741
[159/5000][260/535][16085] Loss_D: -0.039224 Loss_G: 0.011985 Loss_D_real: -0.014297 Loss_D_fake 0.024926
[159/5000][265/535][16086] Loss_D: -0.040772 Loss_G: 0.020459 Loss_D_real: -0.020872 Loss_D_fake 0.019900
[159/5000][270/535][16087] Loss_D: -0.037695 Loss_G: 0.042056 Loss_D_real: -0.042076 Loss_D_fake -0.004381
[159/5000][275/535][16088] Loss_D: -0.038550 Loss_G: -0.003396 Loss_D_real: -0.001019 Loss_D_fake 0.037532
[159/5000][280/535][16089] Loss_D: -0.039487 Loss_G: 0.025430 Loss_D_real: -0.034061 Loss_D_fake 0.005426
[159/5000][285/535][16090] Loss_D: -0.038181 Loss_G: 0.049359 Loss_D_real: -0.042810 Loss_D_fake -0.004629
[159/5000][290/535][16091] Loss_D: -0.041114 Loss_G: 0.002566 Loss_D_real: -0.017455 Loss_D_fake 0.023658
[159/5000][295/535][16092] Loss_D: -0.039130 Loss_G: 0.036374 Loss_D_real: -0.033520 Loss_D_fake 0.005610
[159/5000][300/535][16093] Loss_D: -0.041874 Loss_G: 0.017578 Loss_D_real: -0.027827 Loss_D_fake 0.014047
[159/5000][305/535][16094] Loss_D: -0.040772 Loss_G: 0.017178 Loss_D_real: -0.023404 Loss_D_fake 0.017368
[159/5000][310/535][16095] Loss_D: -0.040801 Loss_G: 0.025004 Loss_D_real: -0.027569 Loss_D_fake 0.013232
[159/5000][315/535][16096] Loss_D: -0.039222 Loss_G: -0.000935 Loss_D_real: -0.010115 Loss_D_fake 0.029108
[159/5000][320/535][16097] Loss_D: -0.039345 Loss_G: 0.040423 Loss_D_real: -0.036592 Loss_D_fake 0.002753
[159/5000][325/535][16098] Loss_D: -0.039432 Loss_G: 0.005777 Loss_D_real: -0.010167 Loss_D_fake 0.029266
[159/5000][330/535][16099] Loss_D: -0.038470 Loss_G: 0.035583 Loss_D_real: -0.032732 Loss_D_fake 0.005738
[159/5000][335/535][16100] Loss_D: -0.037432 Loss_G: 0.028388 Loss_D_real: -0.028706 Loss_D_fake 0.008726
[159/5000][340/535][16101] Loss_D: -0.041645 Loss_G: 0.024417 Loss_D_real: -0.023575 Loss_D_fake 0.018071
[159/5000][345/535][16102] Loss_D: -0.038641 Loss_G: 0.012176 Loss_D_real: -0.012862 Loss_D_fake 0.025779
[159/5000][350/535][16103] Loss_D: -0.039376 Loss_G: 0.033313 Loss_D_real: -0.028333 Loss_D_fake 0.011043
[159/5000][355/535][16104] Loss_D: -0.039982 Loss_G: 0.000527 Loss_D_real: -0.010154 Loss_D_fake 0.029828
[159/5000][360/535][16105] Loss_D: -0.039200 Loss_G: 0.034207 Loss_D_real: -0.039652 Loss_D_fake -0.000453
[159/5000][365/535][16106] Loss_D: -0.037199 Loss_G: 0.024178 Loss_D_real: -0.026723 Loss_D_fake 0.010476
[159/5000][370/535][16107] Loss_D: -0.040764 Loss_G: 0.005460 Loss_D_real: -0.013334 Loss_D_fake 0.027431
[159/5000][375/535][16108] Loss_D: -0.039333 Loss_G: 0.038248 Loss_D_real: -0.033491 Loss_D_fake 0.005842
[159/5000][380/535][16109] Loss_D: -0.038659 Loss_G: -0.004205 Loss_D_real: -0.013229 Loss_D_fake 0.025430
[159/5000][385/535][16110] Loss_D: -0.038693 Loss_G: 0.029824 Loss_D_real: -0.028687 Loss_D_fake 0.010006
[159/5000][390/535][16111] Loss_D: -0.040757 Loss_G: 0.009875 Loss_D_real: -0.019361 Loss_D_fake 0.021397
[159/5000][395/535][16112] Loss_D: -0.037634 Loss_G: 0.043504 Loss_D_real: -0.041737 Loss_D_fake -0.004103
[159/5000][400/535][16113] Loss_D: -0.041206 Loss_G: 0.005492 Loss_D_real: -0.015454 Loss_D_fake 0.025753
[159/5000][405/535][16114] Loss_D: -0.038422 Loss_G: 0.030884 Loss_D_real: -0.032504 Loss_D_fake 0.005918
[159/5000][410/535][16115] Loss_D: -0.037313 Loss_G: -0.015523 Loss_D_real: -0.008489 Loss_D_fake 0.028825
[159/5000][415/535][16116] Loss_D: -0.036644 Loss_G: 0.031465 Loss_D_real: -0.025184 Loss_D_fake 0.011460
[159/5000][420/535][16117] Loss_D: -0.036740 Loss_G: 0.017609 Loss_D_real: -0.013913 Loss_D_fake 0.022827
[159/5000][425/535][16118] Loss_D: -0.037414 Loss_G: 0.029281 Loss_D_real: -0.032657 Loss_D_fake 0.004757
[159/5000][430/535][16119] Loss_D: -0.036955 Loss_G: -0.006853 Loss_D_real: -0.006915 Loss_D_fake 0.030039
[159/5000][435/535][16120] Loss_D: -0.038038 Loss_G: 0.021986 Loss_D_real: -0.027158 Loss_D_fake 0.010879
[159/5000][440/535][16121] Loss_D: -0.038651 Loss_G: 0.025478 Loss_D_real: -0.023209 Loss_D_fake 0.015442
[159/5000][445/535][16122] Loss_D: -0.041259 Loss_G: 0.034176 Loss_D_real: -0.035814 Loss_D_fake 0.005445
[159/5000][450/535][16123] Loss_D: -0.041663 Loss_G: 0.029293 Loss_D_real: -0.022350 Loss_D_fake 0.019313
[159/5000][455/535][16124] Loss_D: -0.039464 Loss_G: 0.041373 Loss_D_real: -0.035981 Loss_D_fake 0.003483
[159/5000][460/535][16125] Loss_D: -0.036845 Loss_G: 0.030730 Loss_D_real: -0.031865 Loss_D_fake 0.004980
[159/5000][465/535][16126] Loss_D: -0.039127 Loss_G: 0.032037 Loss_D_real: -0.034264 Loss_D_fake 0.004863
[159/5000][470/535][16127] Loss_D: -0.041041 Loss_G: 0.019901 Loss_D_real: -0.016011 Loss_D_fake 0.025029
[159/5000][475/535][16128] Loss_D: -0.039529 Loss_G: 0.007219 Loss_D_real: -0.005965 Loss_D_fake 0.033564
[159/5000][480/535][16129] Loss_D: -0.038268 Loss_G: 0.018725 Loss_D_real: -0.017635 Loss_D_fake 0.020633
[159/5000][485/535][16130] Loss_D: -0.039022 Loss_G: 0.045130 Loss_D_real: -0.041511 Loss_D_fake -0.002489
[159/5000][490/535][16131] Loss_D: -0.040590 Loss_G: 0.002620 Loss_D_real: -0.013547 Loss_D_fake 0.027043
[159/5000][495/535][16132] Loss_D: -0.038641 Loss_G: 0.027569 Loss_D_real: -0.041784 Loss_D_fake -0.003143
[159/5000][500/535][16133] Loss_D: -0.039701 Loss_G: -0.011835 Loss_D_real: -0.005397 Loss_D_fake 0.034305
[159/5000][505/535][16134] Loss_D: -0.036930 Loss_G: 0.024594 Loss_D_real: -0.033763 Loss_D_fake 0.003167
[159/5000][510/535][16135] Loss_D: -0.038090 Loss_G: 0.009056 Loss_D_real: -0.012428 Loss_D_fake 0.025661
[159/5000][515/535][16136] Loss_D: -0.036835 Loss_G: 0.024435 Loss_D_real: -0.025629 Loss_D_fake 0.011207
[159/5000][520/535][16137] Loss_D: -0.037258 Loss_G: 0.003527 Loss_D_real: -0.010938 Loss_D_fake 0.026321
[159/5000][525/535][16138] Loss_D: -0.037797 Loss_G: 0.028464 Loss_D_real: -0.031883 Loss_D_fake 0.005914
[159/5000][530/535][16139] Loss_D: -0.038526 Loss_G: 0.002818 Loss_D_real: -0.010669 Loss_D_fake 0.027857
[159/5000][535/535][16140] Loss_D: -0.037865 Loss_G: 0.047446 Loss_D_real: -0.022328 Loss_D_fake 0.015537
[160/5000][5/535][16141] Loss_D: -0.037506 Loss_G: 0.018937 Loss_D_real: -0.019131 Loss_D_fake 0.018375
[160/5000][10/535][16142] Loss_D: -0.037853 Loss_G: 0.031646 Loss_D_real: -0.027157 Loss_D_fake 0.010696
[160/5000][15/535][16143] Loss_D: -0.039883 Loss_G: 0.025805 Loss_D_real: -0.022114 Loss_D_fake 0.017769
[160/5000][20/535][16144] Loss_D: -0.037476 Loss_G: 0.041098 Loss_D_real: -0.032148 Loss_D_fake 0.005327
[160/5000][25/535][16145] Loss_D: -0.037391 Loss_G: -0.012600 Loss_D_real: -0.005250 Loss_D_fake 0.032140
[160/5000][30/535][16146] Loss_D: -0.036686 Loss_G: 0.036547 Loss_D_real: -0.035350 Loss_D_fake 0.001336
[160/5000][35/535][16147] Loss_D: -0.037471 Loss_G: -0.000743 Loss_D_real: -0.014509 Loss_D_fake 0.022962
[160/5000][40/535][16148] Loss_D: -0.037693 Loss_G: 0.017667 Loss_D_real: -0.024296 Loss_D_fake 0.013397
[160/5000][45/535][16149] Loss_D: -0.036328 Loss_G: 0.011966 Loss_D_real: -0.013385 Loss_D_fake 0.022943
[160/5000][50/535][16150] Loss_D: -0.036302 Loss_G: 0.018545 Loss_D_real: -0.018980 Loss_D_fake 0.017322
[160/5000][55/535][16151] Loss_D: -0.039705 Loss_G: 0.019824 Loss_D_real: -0.025540 Loss_D_fake 0.014165
[160/5000][60/535][16152] Loss_D: -0.039832 Loss_G: 0.032741 Loss_D_real: -0.035889 Loss_D_fake 0.003943
[160/5000][65/535][16153] Loss_D: -0.038082 Loss_G: 0.044274 Loss_D_real: -0.041038 Loss_D_fake -0.002956
[160/5000][70/535][16154] Loss_D: -0.039041 Loss_G: 0.012227 Loss_D_real: -0.017488 Loss_D_fake 0.021554
[160/5000][75/535][16155] Loss_D: -0.038801 Loss_G: 0.034868 Loss_D_real: -0.036443 Loss_D_fake 0.002358
[160/5000][80/535][16156] Loss_D: -0.038564 Loss_G: 0.031775 Loss_D_real: -0.031174 Loss_D_fake 0.007391
[160/5000][85/535][16157] Loss_D: -0.040844 Loss_G: 0.020172 Loss_D_real: -0.019849 Loss_D_fake 0.020994
[160/5000][90/535][16158] Loss_D: -0.040352 Loss_G: 0.003305 Loss_D_real: -0.010484 Loss_D_fake 0.029868
[160/5000][95/535][16159] Loss_D: -0.036985 Loss_G: 0.006400 Loss_D_real: -0.020631 Loss_D_fake 0.016354
[160/5000][100/535][16160] Loss_D: -0.037628 Loss_G: 0.034752 Loss_D_real: -0.037957 Loss_D_fake -0.000329
[160/5000][105/535][16161] Loss_D: -0.039583 Loss_G: 0.002492 Loss_D_real: -0.013893 Loss_D_fake 0.025691
[160/5000][110/535][16162] Loss_D: -0.038515 Loss_G: 0.023622 Loss_D_real: -0.032028 Loss_D_fake 0.006487
[160/5000][115/535][16163] Loss_D: -0.037175 Loss_G: 0.047234 Loss_D_real: -0.043392 Loss_D_fake -0.006217
[160/5000][120/535][16164] Loss_D: -0.038065 Loss_G: -0.007351 Loss_D_real: 0.000946 Loss_D_fake 0.039010
[160/5000][125/535][16165] Loss_D: -0.035533 Loss_G: 0.041097 Loss_D_real: -0.044727 Loss_D_fake -0.009193
[160/5000][130/535][16166] Loss_D: -0.039497 Loss_G: 0.023267 Loss_D_real: -0.022462 Loss_D_fake 0.017035
[160/5000][135/535][16167] Loss_D: -0.040914 Loss_G: 0.039408 Loss_D_real: -0.027874 Loss_D_fake 0.013041
[160/5000][140/535][16168] Loss_D: -0.042665 Loss_G: 0.012864 Loss_D_real: -0.022953 Loss_D_fake 0.019712
[160/5000][145/535][16169] Loss_D: -0.040016 Loss_G: 0.029964 Loss_D_real: -0.034510 Loss_D_fake 0.005506
[160/5000][150/535][16170] Loss_D: -0.041607 Loss_G: 0.035159 Loss_D_real: -0.033259 Loss_D_fake 0.008347
[160/5000][155/535][16171] Loss_D: -0.040250 Loss_G: -0.004642 Loss_D_real: -0.003058 Loss_D_fake 0.037192
[160/5000][160/535][16172] Loss_D: -0.039990 Loss_G: 0.025895 Loss_D_real: -0.028249 Loss_D_fake 0.011741
[160/5000][165/535][16173] Loss_D: -0.040207 Loss_G: 0.000781 Loss_D_real: -0.008799 Loss_D_fake 0.031408
[160/5000][170/535][16174] Loss_D: -0.038668 Loss_G: 0.043031 Loss_D_real: -0.043197 Loss_D_fake -0.004529
[160/5000][175/535][16175] Loss_D: -0.039329 Loss_G: 0.000765 Loss_D_real: -0.000488 Loss_D_fake 0.038841
[160/5000][180/535][16176] Loss_D: -0.039627 Loss_G: 0.016833 Loss_D_real: -0.024070 Loss_D_fake 0.015557
[160/5000][185/535][16177] Loss_D: -0.039535 Loss_G: 0.027927 Loss_D_real: -0.026581 Loss_D_fake 0.012953
[160/5000][190/535][16178] Loss_D: -0.039207 Loss_G: -0.004099 Loss_D_real: -0.008779 Loss_D_fake 0.030428
[160/5000][195/535][16179] Loss_D: -0.037417 Loss_G: 0.040428 Loss_D_real: -0.042330 Loss_D_fake -0.004913
[160/5000][200/535][16180] Loss_D: -0.040585 Loss_G: 0.017499 Loss_D_real: -0.021300 Loss_D_fake 0.019286
[160/5000][205/535][16181] Loss_D: -0.040610 Loss_G: 0.032184 Loss_D_real: -0.027487 Loss_D_fake 0.013123
[160/5000][210/535][16182] Loss_D: -0.040655 Loss_G: 0.015032 Loss_D_real: -0.021844 Loss_D_fake 0.018811
[160/5000][215/535][16183] Loss_D: -0.040188 Loss_G: 0.034025 Loss_D_real: -0.034309 Loss_D_fake 0.005879
[160/5000][220/535][16184] Loss_D: -0.039883 Loss_G: -0.018862 Loss_D_real: -0.003879 Loss_D_fake 0.036004
[160/5000][225/535][16185] Loss_D: -0.038498 Loss_G: 0.018021 Loss_D_real: -0.027572 Loss_D_fake 0.010927
[160/5000][230/535][16186] Loss_D: -0.037904 Loss_G: -0.000890 Loss_D_real: -0.007262 Loss_D_fake 0.030642
[160/5000][235/535][16187] Loss_D: -0.038364 Loss_G: 0.028524 Loss_D_real: -0.032391 Loss_D_fake 0.005973
[160/5000][240/535][16188] Loss_D: -0.041009 Loss_G: 0.033499 Loss_D_real: -0.032532 Loss_D_fake 0.008477
[160/5000][245/535][16189] Loss_D: -0.039108 Loss_G: 0.022541 Loss_D_real: -0.023171 Loss_D_fake 0.015937
[160/5000][250/535][16190] Loss_D: -0.039706 Loss_G: 0.043176 Loss_D_real: -0.042414 Loss_D_fake -0.002708
[160/5000][255/535][16191] Loss_D: -0.040059 Loss_G: 0.016751 Loss_D_real: -0.014710 Loss_D_fake 0.025349
[160/5000][260/535][16192] Loss_D: -0.038802 Loss_G: 0.042780 Loss_D_real: -0.038365 Loss_D_fake 0.000437
[160/5000][265/535][16193] Loss_D: -0.040569 Loss_G: -0.003612 Loss_D_real: -0.006490 Loss_D_fake 0.034078
[160/5000][270/535][16194] Loss_D: -0.037376 Loss_G: 0.034201 Loss_D_real: -0.028480 Loss_D_fake 0.008896
[160/5000][275/535][16195] Loss_D: -0.037046 Loss_G: 0.001466 Loss_D_real: -0.007665 Loss_D_fake 0.029381
[160/5000][280/535][16196] Loss_D: -0.037177 Loss_G: 0.040833 Loss_D_real: -0.039145 Loss_D_fake -0.001968
[160/5000][285/535][16197] Loss_D: -0.039378 Loss_G: 0.002585 Loss_D_real: -0.014202 Loss_D_fake 0.025175
[160/5000][290/535][16198] Loss_D: -0.038510 Loss_G: 0.026547 Loss_D_real: -0.018079 Loss_D_fake 0.020432
[160/5000][295/535][16199] Loss_D: -0.039290 Loss_G: 0.021818 Loss_D_real: -0.021106 Loss_D_fake 0.018184
[160/5000][300/535][16200] Loss_D: -0.039968 Loss_G: 0.015926 Loss_D_real: -0.018201 Loss_D_fake 0.021767
[160/5000][305/535][16201] Loss_D: -0.039990 Loss_G: 0.019777 Loss_D_real: -0.026030 Loss_D_fake 0.013960
[160/5000][310/535][16202] Loss_D: -0.037853 Loss_G: -0.011110 Loss_D_real: -0.002302 Loss_D_fake 0.035551
[160/5000][315/535][16203] Loss_D: -0.037786 Loss_G: 0.055226 Loss_D_real: -0.046987 Loss_D_fake -0.009200
[160/5000][320/535][16204] Loss_D: -0.039353 Loss_G: 0.021174 Loss_D_real: -0.022539 Loss_D_fake 0.016815
[160/5000][325/535][16205] Loss_D: -0.039605 Loss_G: 0.000408 Loss_D_real: -0.012614 Loss_D_fake 0.026991
[160/5000][330/535][16206] Loss_D: -0.038759 Loss_G: 0.030813 Loss_D_real: -0.033773 Loss_D_fake 0.004986
[160/5000][335/535][16207] Loss_D: -0.037943 Loss_G: 0.007735 Loss_D_real: -0.010418 Loss_D_fake 0.027525
[160/5000][340/535][16208] Loss_D: -0.038293 Loss_G: 0.036214 Loss_D_real: -0.032080 Loss_D_fake 0.006214
[160/5000][345/535][16209] Loss_D: -0.037378 Loss_G: 0.004534 Loss_D_real: -0.001384 Loss_D_fake 0.035993
[160/5000][350/535][16210] Loss_D: -0.039284 Loss_G: 0.012443 Loss_D_real: -0.027347 Loss_D_fake 0.011938
[160/5000][355/535][16211] Loss_D: -0.038565 Loss_G: 0.004511 Loss_D_real: -0.013062 Loss_D_fake 0.025503
[160/5000][360/535][16212] Loss_D: -0.037359 Loss_G: 0.009067 Loss_D_real: -0.013559 Loss_D_fake 0.023799
[160/5000][365/535][16213] Loss_D: -0.037258 Loss_G: 0.027204 Loss_D_real: -0.023370 Loss_D_fake 0.013888
[160/5000][370/535][16214] Loss_D: -0.040306 Loss_G: 0.019645 Loss_D_real: -0.025334 Loss_D_fake 0.014972
[160/5000][375/535][16215] Loss_D: -0.038672 Loss_G: 0.040530 Loss_D_real: -0.038409 Loss_D_fake 0.000263
[160/5000][380/535][16216] Loss_D: -0.039513 Loss_G: 0.001694 Loss_D_real: -0.010608 Loss_D_fake 0.028905
[160/5000][385/535][16217] Loss_D: -0.036847 Loss_G: 0.043715 Loss_D_real: -0.039367 Loss_D_fake -0.002520
[160/5000][390/535][16218] Loss_D: -0.038708 Loss_G: 0.001180 Loss_D_real: -0.017259 Loss_D_fake 0.021449
[160/5000][395/535][16219] Loss_D: -0.038490 Loss_G: 0.030773 Loss_D_real: -0.031079 Loss_D_fake 0.007411
[160/5000][400/535][16220] Loss_D: -0.037632 Loss_G: 0.045384 Loss_D_real: -0.037774 Loss_D_fake -0.000143
[160/5000][405/535][16221] Loss_D: -0.038836 Loss_G: -0.002603 Loss_D_real: -0.003857 Loss_D_fake 0.034979
[160/5000][410/535][16222] Loss_D: -0.038391 Loss_G: 0.004480 Loss_D_real: -0.014000 Loss_D_fake 0.024392
[160/5000][415/535][16223] Loss_D: -0.037034 Loss_G: 0.018387 Loss_D_real: -0.022502 Loss_D_fake 0.014532
[160/5000][420/535][16224] Loss_D: -0.039812 Loss_G: 0.017884 Loss_D_real: -0.034626 Loss_D_fake 0.005187
[160/5000][425/535][16225] Loss_D: -0.038765 Loss_G: 0.019090 Loss_D_real: -0.027146 Loss_D_fake 0.011619
[160/5000][430/535][16226] Loss_D: -0.038055 Loss_G: 0.033451 Loss_D_real: -0.041629 Loss_D_fake -0.003575
[160/5000][435/535][16227] Loss_D: -0.038698 Loss_G: 0.002416 Loss_D_real: -0.004239 Loss_D_fake 0.034458
[160/5000][440/535][16228] Loss_D: -0.038878 Loss_G: 0.028834 Loss_D_real: -0.027813 Loss_D_fake 0.011065
[160/5000][445/535][16229] Loss_D: -0.038891 Loss_G: 0.018476 Loss_D_real: -0.013482 Loss_D_fake 0.025409
[160/5000][450/535][16230] Loss_D: -0.038035 Loss_G: 0.039124 Loss_D_real: -0.040908 Loss_D_fake -0.002874
[160/5000][455/535][16231] Loss_D: -0.041091 Loss_G: 0.009250 Loss_D_real: -0.019194 Loss_D_fake 0.021897
[160/5000][460/535][16232] Loss_D: -0.037599 Loss_G: 0.035203 Loss_D_real: -0.036628 Loss_D_fake 0.000970
[160/5000][465/535][16233] Loss_D: -0.039216 Loss_G: -0.008601 Loss_D_real: -0.007784 Loss_D_fake 0.031432
[160/5000][470/535][16234] Loss_D: -0.040387 Loss_G: 0.030315 Loss_D_real: -0.026125 Loss_D_fake 0.014263
[160/5000][475/535][16235] Loss_D: -0.040496 Loss_G: -0.001631 Loss_D_real: -0.001227 Loss_D_fake 0.039269
[160/5000][480/535][16236] Loss_D: -0.040367 Loss_G: 0.016517 Loss_D_real: -0.025004 Loss_D_fake 0.015363
[160/5000][485/535][16237] Loss_D: -0.040320 Loss_G: 0.036594 Loss_D_real: -0.036538 Loss_D_fake 0.003782
[160/5000][490/535][16238] Loss_D: -0.038304 Loss_G: -0.000531 Loss_D_real: -0.000353 Loss_D_fake 0.037950
[160/5000][495/535][16239] Loss_D: -0.039315 Loss_G: 0.017400 Loss_D_real: -0.019341 Loss_D_fake 0.019974
[160/5000][500/535][16240] Loss_D: -0.038796 Loss_G: 0.034982 Loss_D_real: -0.032122 Loss_D_fake 0.006674
[160/5000][505/535][16241] Loss_D: -0.038440 Loss_G: -0.006309 Loss_D_real: 0.005986 Loss_D_fake 0.044426
[160/5000][510/535][16242] Loss_D: -0.036882 Loss_G: 0.038249 Loss_D_real: -0.045697 Loss_D_fake -0.008815
[160/5000][515/535][16243] Loss_D: -0.039774 Loss_G: 0.000553 Loss_D_real: -0.010562 Loss_D_fake 0.029212
[160/5000][520/535][16244] Loss_D: -0.037121 Loss_G: 0.021667 Loss_D_real: -0.025336 Loss_D_fake 0.011785
[160/5000][525/535][16245] Loss_D: -0.040219 Loss_G: 0.035708 Loss_D_real: -0.036217 Loss_D_fake 0.004002
[160/5000][530/535][16246] Loss_D: -0.041524 Loss_G: 0.025258 Loss_D_real: -0.027016 Loss_D_fake 0.014508
[160/5000][535/535][16247] Loss_D: -0.037004 Loss_G: 0.002390 Loss_D_real: -0.006428 Loss_D_fake 0.030576
[161/5000][5/535][16248] Loss_D: -0.037885 Loss_G: 0.021978 Loss_D_real: -0.027992 Loss_D_fake 0.009893
[161/5000][10/535][16249] Loss_D: -0.039490 Loss_G: 0.017899 Loss_D_real: -0.028092 Loss_D_fake 0.011398
[161/5000][15/535][16250] Loss_D: -0.038747 Loss_G: 0.044274 Loss_D_real: -0.037835 Loss_D_fake 0.000912
[161/5000][20/535][16251] Loss_D: -0.039042 Loss_G: -0.007040 Loss_D_real: -0.003515 Loss_D_fake 0.035527
[161/5000][25/535][16252] Loss_D: -0.037534 Loss_G: 0.030912 Loss_D_real: -0.044973 Loss_D_fake -0.007440
[161/5000][30/535][16253] Loss_D: -0.039540 Loss_G: 0.010110 Loss_D_real: -0.022757 Loss_D_fake 0.016784
[161/5000][35/535][16254] Loss_D: -0.038807 Loss_G: 0.008732 Loss_D_real: -0.014973 Loss_D_fake 0.023834
[161/5000][40/535][16255] Loss_D: -0.038201 Loss_G: 0.039246 Loss_D_real: -0.031164 Loss_D_fake 0.007037
[161/5000][45/535][16256] Loss_D: -0.037261 Loss_G: -0.018532 Loss_D_real: 0.004415 Loss_D_fake 0.041676
[161/5000][50/535][16257] Loss_D: -0.037754 Loss_G: 0.036743 Loss_D_real: -0.037457 Loss_D_fake 0.000297
[161/5000][55/535][16258] Loss_D: -0.039246 Loss_G: 0.018565 Loss_D_real: -0.020622 Loss_D_fake 0.018624
[161/5000][60/535][16259] Loss_D: -0.038112 Loss_G: 0.043162 Loss_D_real: -0.039751 Loss_D_fake -0.001639
[161/5000][65/535][16260] Loss_D: -0.038783 Loss_G: 0.000299 Loss_D_real: -0.008611 Loss_D_fake 0.030172
[161/5000][70/535][16261] Loss_D: -0.038586 Loss_G: 0.028688 Loss_D_real: -0.034038 Loss_D_fake 0.004548
[161/5000][75/535][16262] Loss_D: -0.039909 Loss_G: 0.021618 Loss_D_real: -0.027699 Loss_D_fake 0.012210
[161/5000][80/535][16263] Loss_D: -0.039788 Loss_G: 0.012162 Loss_D_real: -0.020812 Loss_D_fake 0.018976
[161/5000][85/535][16264] Loss_D: -0.038422 Loss_G: 0.031020 Loss_D_real: -0.030148 Loss_D_fake 0.008274
[161/5000][90/535][16265] Loss_D: -0.039550 Loss_G: 0.027808 Loss_D_real: -0.028326 Loss_D_fake 0.011224
[161/5000][95/535][16266] Loss_D: -0.037778 Loss_G: 0.028007 Loss_D_real: -0.024662 Loss_D_fake 0.013116
[161/5000][100/535][16267] Loss_D: -0.035799 Loss_G: 0.002484 Loss_D_real: -0.008555 Loss_D_fake 0.027244
[161/5000][105/535][16268] Loss_D: -0.037985 Loss_G: 0.039683 Loss_D_real: -0.040606 Loss_D_fake -0.002622
[161/5000][110/535][16269] Loss_D: -0.037965 Loss_G: 0.039515 Loss_D_real: -0.032236 Loss_D_fake 0.005728
[161/5000][115/535][16270] Loss_D: -0.039777 Loss_G: -0.006174 Loss_D_real: -0.003698 Loss_D_fake 0.036079
[161/5000][120/535][16271] Loss_D: -0.037504 Loss_G: 0.036055 Loss_D_real: -0.040218 Loss_D_fake -0.002715
[161/5000][125/535][16272] Loss_D: -0.039499 Loss_G: -0.000214 Loss_D_real: -0.007644 Loss_D_fake 0.031856
[161/5000][130/535][16273] Loss_D: -0.037537 Loss_G: 0.029217 Loss_D_real: -0.034258 Loss_D_fake 0.003279
[161/5000][135/535][16274] Loss_D: -0.039029 Loss_G: 0.004262 Loss_D_real: -0.018377 Loss_D_fake 0.020652
[161/5000][140/535][16275] Loss_D: -0.039105 Loss_G: 0.041141 Loss_D_real: -0.046213 Loss_D_fake -0.007107
[161/5000][145/535][16276] Loss_D: -0.039866 Loss_G: -0.002609 Loss_D_real: -0.002084 Loss_D_fake 0.037782
[161/5000][150/535][16277] Loss_D: -0.038439 Loss_G: 0.034447 Loss_D_real: -0.035826 Loss_D_fake 0.002614
[161/5000][155/535][16278] Loss_D: -0.040644 Loss_G: 0.021395 Loss_D_real: -0.016232 Loss_D_fake 0.024412
[161/5000][160/535][16279] Loss_D: -0.041649 Loss_G: 0.006598 Loss_D_real: -0.020683 Loss_D_fake 0.020966
[161/5000][165/535][16280] Loss_D: -0.039697 Loss_G: 0.019457 Loss_D_real: -0.024711 Loss_D_fake 0.014986
[161/5000][170/535][16281] Loss_D: -0.037945 Loss_G: -0.005822 Loss_D_real: -0.009148 Loss_D_fake 0.028797
[161/5000][175/535][16282] Loss_D: -0.038996 Loss_G: 0.029045 Loss_D_real: -0.031222 Loss_D_fake 0.007774
[161/5000][180/535][16283] Loss_D: -0.041836 Loss_G: 0.027051 Loss_D_real: -0.032211 Loss_D_fake 0.009625
[161/5000][185/535][16284] Loss_D: -0.040509 Loss_G: 0.019553 Loss_D_real: -0.026321 Loss_D_fake 0.014188
[161/5000][190/535][16285] Loss_D: -0.041232 Loss_G: 0.029652 Loss_D_real: -0.032625 Loss_D_fake 0.008607
[161/5000][195/535][16286] Loss_D: -0.040997 Loss_G: 0.042719 Loss_D_real: -0.033242 Loss_D_fake 0.007755
[161/5000][200/535][16287] Loss_D: -0.039058 Loss_G: -0.003467 Loss_D_real: 0.000223 Loss_D_fake 0.039281
[161/5000][205/535][16288] Loss_D: -0.037854 Loss_G: 0.028938 Loss_D_real: -0.026124 Loss_D_fake 0.011730
[161/5000][210/535][16289] Loss_D: -0.038483 Loss_G: 0.009439 Loss_D_real: -0.012952 Loss_D_fake 0.025530
[161/5000][215/535][16290] Loss_D: -0.038073 Loss_G: 0.044571 Loss_D_real: -0.040168 Loss_D_fake -0.002094
[161/5000][220/535][16291] Loss_D: -0.039173 Loss_G: 0.009454 Loss_D_real: -0.009365 Loss_D_fake 0.029809
[161/5000][225/535][16292] Loss_D: -0.039575 Loss_G: 0.027893 Loss_D_real: -0.027081 Loss_D_fake 0.012494
[161/5000][230/535][16293] Loss_D: -0.037507 Loss_G: 0.005234 Loss_D_real: -0.011320 Loss_D_fake 0.026187
[161/5000][235/535][16294] Loss_D: -0.038684 Loss_G: 0.038745 Loss_D_real: -0.037949 Loss_D_fake 0.000735
[161/5000][240/535][16295] Loss_D: -0.036387 Loss_G: 0.000687 Loss_D_real: -0.006358 Loss_D_fake 0.030029
[161/5000][245/535][16296] Loss_D: -0.038657 Loss_G: 0.013809 Loss_D_real: -0.020748 Loss_D_fake 0.017909
[161/5000][250/535][16297] Loss_D: -0.039086 Loss_G: 0.003042 Loss_D_real: -0.007960 Loss_D_fake 0.031126
[161/5000][255/535][16298] Loss_D: -0.039245 Loss_G: 0.020036 Loss_D_real: -0.019385 Loss_D_fake 0.019860
[161/5000][260/535][16299] Loss_D: -0.039525 Loss_G: 0.016433 Loss_D_real: -0.022981 Loss_D_fake 0.016544
[161/5000][265/535][16300] Loss_D: -0.036919 Loss_G: 0.032969 Loss_D_real: -0.041060 Loss_D_fake -0.004141
[161/5000][270/535][16301] Loss_D: -0.039397 Loss_G: 0.014250 Loss_D_real: -0.013096 Loss_D_fake 0.026300
[161/5000][275/535][16302] Loss_D: -0.037851 Loss_G: 0.028593 Loss_D_real: -0.031886 Loss_D_fake 0.005965
[161/5000][280/535][16303] Loss_D: -0.040522 Loss_G: 0.020724 Loss_D_real: -0.027190 Loss_D_fake 0.013333
[161/5000][285/535][16304] Loss_D: -0.036355 Loss_G: 0.039349 Loss_D_real: -0.039512 Loss_D_fake -0.003157
[161/5000][290/535][16305] Loss_D: -0.036963 Loss_G: 0.008403 Loss_D_real: -0.006352 Loss_D_fake 0.030611
[161/5000][295/535][16306] Loss_D: -0.039471 Loss_G: 0.036811 Loss_D_real: -0.042644 Loss_D_fake -0.003174
[161/5000][300/535][16307] Loss_D: -0.038421 Loss_G: 0.042820 Loss_D_real: -0.038414 Loss_D_fake 0.000007
[161/5000][305/535][16308] Loss_D: -0.038698 Loss_G: -0.003693 Loss_D_real: 0.001070 Loss_D_fake 0.039768
[161/5000][310/535][16309] Loss_D: -0.037647 Loss_G: 0.012314 Loss_D_real: -0.021202 Loss_D_fake 0.016445
[161/5000][315/535][16310] Loss_D: -0.039397 Loss_G: 0.028529 Loss_D_real: -0.028363 Loss_D_fake 0.011033
[161/5000][320/535][16311] Loss_D: -0.037407 Loss_G: 0.009524 Loss_D_real: -0.014799 Loss_D_fake 0.022608
[161/5000][325/535][16312] Loss_D: -0.039609 Loss_G: 0.021966 Loss_D_real: -0.026108 Loss_D_fake 0.013501
[161/5000][330/535][16313] Loss_D: -0.041560 Loss_G: 0.032106 Loss_D_real: -0.024338 Loss_D_fake 0.017222
[161/5000][335/535][16314] Loss_D: -0.038787 Loss_G: 0.009559 Loss_D_real: -0.014358 Loss_D_fake 0.024429
[161/5000][340/535][16315] Loss_D: -0.039870 Loss_G: 0.044388 Loss_D_real: -0.048475 Loss_D_fake -0.008605
[161/5000][345/535][16316] Loss_D: -0.039202 Loss_G: -0.004391 Loss_D_real: -0.001327 Loss_D_fake 0.037875
[161/5000][350/535][16317] Loss_D: -0.037516 Loss_G: 0.041673 Loss_D_real: -0.040666 Loss_D_fake -0.003151
[161/5000][355/535][16318] Loss_D: -0.038011 Loss_G: 0.029692 Loss_D_real: -0.026787 Loss_D_fake 0.011224
[161/5000][360/535][16319] Loss_D: -0.041394 Loss_G: 0.024210 Loss_D_real: -0.029361 Loss_D_fake 0.012032
[161/5000][365/535][16320] Loss_D: -0.040506 Loss_G: 0.019382 Loss_D_real: -0.017415 Loss_D_fake 0.023091
[161/5000][370/535][16321] Loss_D: -0.040142 Loss_G: 0.050847 Loss_D_real: -0.040371 Loss_D_fake -0.000229
[161/5000][375/535][16322] Loss_D: -0.038512 Loss_G: 0.005488 Loss_D_real: -0.016915 Loss_D_fake 0.021596
[161/5000][380/535][16323] Loss_D: -0.038508 Loss_G: 0.034780 Loss_D_real: -0.033993 Loss_D_fake 0.004515
[161/5000][385/535][16324] Loss_D: -0.038730 Loss_G: 0.003177 Loss_D_real: -0.011770 Loss_D_fake 0.026961
[161/5000][390/535][16325] Loss_D: -0.040410 Loss_G: 0.023141 Loss_D_real: -0.030265 Loss_D_fake 0.010145
[161/5000][395/535][16326] Loss_D: -0.037287 Loss_G: 0.050064 Loss_D_real: -0.042036 Loss_D_fake -0.004749
[161/5000][400/535][16327] Loss_D: -0.039855 Loss_G: -0.002654 Loss_D_real: -0.007810 Loss_D_fake 0.032046
[161/5000][405/535][16328] Loss_D: -0.038226 Loss_G: 0.036030 Loss_D_real: -0.034904 Loss_D_fake 0.003322
[161/5000][410/535][16329] Loss_D: -0.037953 Loss_G: -0.012984 Loss_D_real: -0.003186 Loss_D_fake 0.034767
[161/5000][415/535][16330] Loss_D: -0.036159 Loss_G: 0.034333 Loss_D_real: -0.033803 Loss_D_fake 0.002356
[161/5000][420/535][16331] Loss_D: -0.038304 Loss_G: 0.011935 Loss_D_real: -0.015892 Loss_D_fake 0.022412
[161/5000][425/535][16332] Loss_D: -0.039719 Loss_G: 0.033011 Loss_D_real: -0.028388 Loss_D_fake 0.011331
[161/5000][430/535][16333] Loss_D: -0.037631 Loss_G: -0.002959 Loss_D_real: -0.008146 Loss_D_fake 0.029484
[161/5000][435/535][16334] Loss_D: -0.038708 Loss_G: 0.024361 Loss_D_real: -0.028302 Loss_D_fake 0.010406
[161/5000][440/535][16335] Loss_D: -0.037714 Loss_G: -0.000507 Loss_D_real: -0.005655 Loss_D_fake 0.032059
[161/5000][445/535][16336] Loss_D: -0.040499 Loss_G: 0.012768 Loss_D_real: -0.023487 Loss_D_fake 0.017012
[161/5000][450/535][16337] Loss_D: -0.038832 Loss_G: 0.022333 Loss_D_real: -0.026100 Loss_D_fake 0.012732
[161/5000][455/535][16338] Loss_D: -0.038518 Loss_G: 0.010711 Loss_D_real: -0.024195 Loss_D_fake 0.014323
[161/5000][460/535][16339] Loss_D: -0.039602 Loss_G: 0.034761 Loss_D_real: -0.034911 Loss_D_fake 0.004691
[161/5000][465/535][16340] Loss_D: -0.039021 Loss_G: 0.026950 Loss_D_real: -0.025107 Loss_D_fake 0.013914
[161/5000][470/535][16341] Loss_D: -0.040051 Loss_G: 0.009862 Loss_D_real: -0.016846 Loss_D_fake 0.023205
[161/5000][475/535][16342] Loss_D: -0.037977 Loss_G: 0.033835 Loss_D_real: -0.032041 Loss_D_fake 0.005936
[161/5000][480/535][16343] Loss_D: -0.038578 Loss_G: 0.028141 Loss_D_real: -0.027882 Loss_D_fake 0.010696
[161/5000][485/535][16344] Loss_D: -0.040835 Loss_G: 0.016828 Loss_D_real: -0.023971 Loss_D_fake 0.016864
[161/5000][490/535][16345] Loss_D: -0.037617 Loss_G: 0.029191 Loss_D_real: -0.023011 Loss_D_fake 0.014607
[161/5000][495/535][16346] Loss_D: -0.039904 Loss_G: 0.011221 Loss_D_real: -0.021754 Loss_D_fake 0.018150
[161/5000][500/535][16347] Loss_D: -0.041343 Loss_G: 0.028462 Loss_D_real: -0.033185 Loss_D_fake 0.008157
[161/5000][505/535][16348] Loss_D: -0.036643 Loss_G: 0.058657 Loss_D_real: -0.046492 Loss_D_fake -0.009850
[161/5000][510/535][16349] Loss_D: -0.038983 Loss_G: -0.007513 Loss_D_real: -0.003775 Loss_D_fake 0.035208
[161/5000][515/535][16350] Loss_D: -0.038368 Loss_G: 0.028787 Loss_D_real: -0.033694 Loss_D_fake 0.004674
[161/5000][520/535][16351] Loss_D: -0.037614 Loss_G: -0.006135 Loss_D_real: -0.002497 Loss_D_fake 0.035117
[161/5000][525/535][16352] Loss_D: -0.037871 Loss_G: 0.037907 Loss_D_real: -0.037662 Loss_D_fake 0.000210
[161/5000][530/535][16353] Loss_D: -0.037693 Loss_G: 0.012793 Loss_D_real: -0.017246 Loss_D_fake 0.020447
[161/5000][535/535][16354] Loss_D: -0.036772 Loss_G: 0.052398 Loss_D_real: -0.025897 Loss_D_fake 0.010874
[162/5000][5/535][16355] Loss_D: -0.036740 Loss_G: -0.010363 Loss_D_real: -0.000817 Loss_D_fake 0.035923
[162/5000][10/535][16356] Loss_D: -0.037584 Loss_G: 0.031137 Loss_D_real: -0.028514 Loss_D_fake 0.009070
[162/5000][15/535][16357] Loss_D: -0.039237 Loss_G: 0.014147 Loss_D_real: -0.022229 Loss_D_fake 0.017007
[162/5000][20/535][16358] Loss_D: -0.041293 Loss_G: 0.022307 Loss_D_real: -0.025007 Loss_D_fake 0.016286
[162/5000][25/535][16359] Loss_D: -0.040337 Loss_G: 0.037847 Loss_D_real: -0.033019 Loss_D_fake 0.007319
[162/5000][30/535][16360] Loss_D: -0.037548 Loss_G: 0.010701 Loss_D_real: -0.012859 Loss_D_fake 0.024690
[162/5000][35/535][16361] Loss_D: -0.039481 Loss_G: 0.042991 Loss_D_real: -0.036796 Loss_D_fake 0.002684
[162/5000][40/535][16362] Loss_D: -0.038212 Loss_G: 0.049580 Loss_D_real: -0.040030 Loss_D_fake -0.001818
[162/5000][45/535][16363] Loss_D: -0.038369 Loss_G: -0.013158 Loss_D_real: 0.000534 Loss_D_fake 0.038902
[162/5000][50/535][16364] Loss_D: -0.037536 Loss_G: 0.008994 Loss_D_real: -0.018717 Loss_D_fake 0.018819
[162/5000][55/535][16365] Loss_D: -0.037155 Loss_G: 0.019886 Loss_D_real: -0.030638 Loss_D_fake 0.006517
[162/5000][60/535][16366] Loss_D: -0.038945 Loss_G: 0.033100 Loss_D_real: -0.036845 Loss_D_fake 0.002099
[162/5000][65/535][16367] Loss_D: -0.038145 Loss_G: 0.026802 Loss_D_real: -0.025277 Loss_D_fake 0.012868
[162/5000][70/535][16368] Loss_D: -0.039370 Loss_G: 0.020765 Loss_D_real: -0.021760 Loss_D_fake 0.017609
[162/5000][75/535][16369] Loss_D: -0.039325 Loss_G: 0.018169 Loss_D_real: -0.018790 Loss_D_fake 0.020535
[162/5000][80/535][16370] Loss_D: -0.039805 Loss_G: 0.021506 Loss_D_real: -0.022239 Loss_D_fake 0.017566
[162/5000][85/535][16371] Loss_D: -0.039388 Loss_G: 0.014104 Loss_D_real: -0.018436 Loss_D_fake 0.020952
[162/5000][90/535][16372] Loss_D: -0.036756 Loss_G: 0.023552 Loss_D_real: -0.026145 Loss_D_fake 0.010611
[162/5000][95/535][16373] Loss_D: -0.039114 Loss_G: 0.000750 Loss_D_real: -0.016354 Loss_D_fake 0.022760
[162/5000][100/535][16374] Loss_D: -0.040314 Loss_G: 0.024583 Loss_D_real: -0.029300 Loss_D_fake 0.011013
[162/5000][105/535][16375] Loss_D: -0.038027 Loss_G: 0.051474 Loss_D_real: -0.051213 Loss_D_fake -0.013185
[162/5000][110/535][16376] Loss_D: -0.038309 Loss_G: -0.004813 Loss_D_real: -0.006765 Loss_D_fake 0.031544
[162/5000][115/535][16377] Loss_D: -0.037330 Loss_G: 0.033763 Loss_D_real: -0.030702 Loss_D_fake 0.006629
[162/5000][120/535][16378] Loss_D: -0.039340 Loss_G: 0.009848 Loss_D_real: -0.015363 Loss_D_fake 0.023977
[162/5000][125/535][16379] Loss_D: -0.039798 Loss_G: 0.012537 Loss_D_real: -0.022827 Loss_D_fake 0.016971
[162/5000][130/535][16380] Loss_D: -0.036319 Loss_G: 0.049763 Loss_D_real: -0.043610 Loss_D_fake -0.007291
[162/5000][135/535][16381] Loss_D: -0.036611 Loss_G: -0.010322 Loss_D_real: 0.000342 Loss_D_fake 0.036953
[162/5000][140/535][16382] Loss_D: -0.036747 Loss_G: 0.035519 Loss_D_real: -0.042107 Loss_D_fake -0.005360
[162/5000][145/535][16383] Loss_D: -0.040113 Loss_G: -0.004482 Loss_D_real: -0.006341 Loss_D_fake 0.033772
[162/5000][150/535][16384] Loss_D: -0.037475 Loss_G: 0.015753 Loss_D_real: -0.026895 Loss_D_fake 0.010580
[162/5000][155/535][16385] Loss_D: -0.038270 Loss_G: 0.030071 Loss_D_real: -0.033325 Loss_D_fake 0.004945
[162/5000][160/535][16386] Loss_D: -0.039303 Loss_G: 0.005422 Loss_D_real: -0.014214 Loss_D_fake 0.025089
[162/5000][165/535][16387] Loss_D: -0.040094 Loss_G: 0.036961 Loss_D_real: -0.040364 Loss_D_fake -0.000270
[162/5000][170/535][16388] Loss_D: -0.038931 Loss_G: 0.026756 Loss_D_real: -0.027898 Loss_D_fake 0.011033
[162/5000][175/535][16389] Loss_D: -0.041143 Loss_G: 0.028941 Loss_D_real: -0.031214 Loss_D_fake 0.009929
[162/5000][180/535][16390] Loss_D: -0.040632 Loss_G: 0.027271 Loss_D_real: -0.026146 Loss_D_fake 0.014486
[162/5000][185/535][16391] Loss_D: -0.038564 Loss_G: 0.028671 Loss_D_real: -0.028832 Loss_D_fake 0.009732
[162/5000][190/535][16392] Loss_D: -0.040742 Loss_G: 0.030242 Loss_D_real: -0.030836 Loss_D_fake 0.009906
[162/5000][195/535][16393] Loss_D: -0.039439 Loss_G: 0.022337 Loss_D_real: -0.028400 Loss_D_fake 0.011039
[162/5000][200/535][16394] Loss_D: -0.039940 Loss_G: 0.027370 Loss_D_real: -0.029254 Loss_D_fake 0.010685
[162/5000][205/535][16395] Loss_D: -0.037818 Loss_G: 0.018739 Loss_D_real: -0.015914 Loss_D_fake 0.021904
[162/5000][210/535][16396] Loss_D: -0.037204 Loss_G: 0.036296 Loss_D_real: -0.035493 Loss_D_fake 0.001711
[162/5000][215/535][16397] Loss_D: -0.040112 Loss_G: -0.002493 Loss_D_real: -0.010819 Loss_D_fake 0.029293
[162/5000][220/535][16398] Loss_D: -0.038233 Loss_G: 0.034643 Loss_D_real: -0.028342 Loss_D_fake 0.009892
[162/5000][225/535][16399] Loss_D: -0.035591 Loss_G: 0.010567 Loss_D_real: -0.016675 Loss_D_fake 0.018916
[162/5000][230/535][16400] Loss_D: -0.039737 Loss_G: 0.037143 Loss_D_real: -0.032869 Loss_D_fake 0.006868
[162/5000][235/535][16401] Loss_D: -0.037568 Loss_G: 0.000416 Loss_D_real: -0.013969 Loss_D_fake 0.023599
[162/5000][240/535][16402] Loss_D: -0.037937 Loss_G: 0.032129 Loss_D_real: -0.041720 Loss_D_fake -0.003783
[162/5000][245/535][16403] Loss_D: -0.035966 Loss_G: 0.006250 Loss_D_real: -0.012766 Loss_D_fake 0.023200
[162/5000][250/535][16404] Loss_D: -0.038750 Loss_G: 0.031531 Loss_D_real: -0.031565 Loss_D_fake 0.007185
[162/5000][255/535][16405] Loss_D: -0.038919 Loss_G: 0.020405 Loss_D_real: -0.022283 Loss_D_fake 0.016636
[162/5000][260/535][16406] Loss_D: -0.038768 Loss_G: 0.016855 Loss_D_real: -0.017589 Loss_D_fake 0.021180
[162/5000][265/535][16407] Loss_D: -0.037852 Loss_G: 0.018249 Loss_D_real: -0.018687 Loss_D_fake 0.019165
[162/5000][270/535][16408] Loss_D: -0.039772 Loss_G: 0.041531 Loss_D_real: -0.035685 Loss_D_fake 0.004087
[162/5000][275/535][16409] Loss_D: -0.039117 Loss_G: 0.001531 Loss_D_real: -0.010825 Loss_D_fake 0.028292
[162/5000][280/535][16410] Loss_D: -0.040162 Loss_G: 0.031508 Loss_D_real: -0.026198 Loss_D_fake 0.013964
[162/5000][285/535][16411] Loss_D: -0.038105 Loss_G: -0.008856 Loss_D_real: 0.001307 Loss_D_fake 0.039412
[162/5000][290/535][16412] Loss_D: -0.038857 Loss_G: 0.012982 Loss_D_real: -0.018798 Loss_D_fake 0.020059
[162/5000][295/535][16413] Loss_D: -0.039491 Loss_G: 0.023652 Loss_D_real: -0.028059 Loss_D_fake 0.011432
[162/5000][300/535][16414] Loss_D: -0.038621 Loss_G: 0.034709 Loss_D_real: -0.029238 Loss_D_fake 0.009383
[162/5000][305/535][16415] Loss_D: -0.039452 Loss_G: -0.010391 Loss_D_real: -0.004322 Loss_D_fake 0.035130
[162/5000][310/535][16416] Loss_D: -0.036779 Loss_G: 0.037600 Loss_D_real: -0.038286 Loss_D_fake -0.001507
[162/5000][315/535][16417] Loss_D: -0.039153 Loss_G: -0.006916 Loss_D_real: -0.003078 Loss_D_fake 0.036075
[162/5000][320/535][16418] Loss_D: -0.039132 Loss_G: 0.020426 Loss_D_real: -0.024506 Loss_D_fake 0.014626
[162/5000][325/535][16419] Loss_D: -0.037577 Loss_G: 0.034532 Loss_D_real: -0.033824 Loss_D_fake 0.003752
[162/5000][330/535][16420] Loss_D: -0.038144 Loss_G: 0.012569 Loss_D_real: -0.013887 Loss_D_fake 0.024257
[162/5000][335/535][16421] Loss_D: -0.041003 Loss_G: 0.028928 Loss_D_real: -0.033692 Loss_D_fake 0.007311
[162/5000][340/535][16422] Loss_D: -0.040681 Loss_G: 0.021840 Loss_D_real: -0.018850 Loss_D_fake 0.021831
[162/5000][345/535][16423] Loss_D: -0.038400 Loss_G: 0.041119 Loss_D_real: -0.029213 Loss_D_fake 0.009187
[162/5000][350/535][16424] Loss_D: -0.038608 Loss_G: -0.007611 Loss_D_real: -0.005638 Loss_D_fake 0.032970
[162/5000][355/535][16425] Loss_D: -0.038936 Loss_G: 0.040017 Loss_D_real: -0.040929 Loss_D_fake -0.001993
[162/5000][360/535][16426] Loss_D: -0.037865 Loss_G: -0.009889 Loss_D_real: 0.000630 Loss_D_fake 0.038495
[162/5000][365/535][16427] Loss_D: -0.038534 Loss_G: 0.025493 Loss_D_real: -0.029702 Loss_D_fake 0.008833
[162/5000][370/535][16428] Loss_D: -0.036387 Loss_G: 0.003656 Loss_D_real: -0.007106 Loss_D_fake 0.029281
[162/5000][375/535][16429] Loss_D: -0.040507 Loss_G: 0.025700 Loss_D_real: -0.029306 Loss_D_fake 0.011201
[162/5000][380/535][16430] Loss_D: -0.040516 Loss_G: 0.022641 Loss_D_real: -0.024160 Loss_D_fake 0.016356
[162/5000][385/535][16431] Loss_D: -0.037897 Loss_G: 0.040395 Loss_D_real: -0.030990 Loss_D_fake 0.006908
[162/5000][390/535][16432] Loss_D: -0.038891 Loss_G: -0.008005 Loss_D_real: -0.015404 Loss_D_fake 0.023487
[162/5000][395/535][16433] Loss_D: -0.036253 Loss_G: 0.037797 Loss_D_real: -0.044392 Loss_D_fake -0.008138
[162/5000][400/535][16434] Loss_D: -0.040377 Loss_G: 0.023388 Loss_D_real: -0.027650 Loss_D_fake 0.012728
[162/5000][405/535][16435] Loss_D: -0.038569 Loss_G: 0.006735 Loss_D_real: -0.014194 Loss_D_fake 0.024375
[162/5000][410/535][16436] Loss_D: -0.038741 Loss_G: 0.036551 Loss_D_real: -0.039143 Loss_D_fake -0.000402
[162/5000][415/535][16437] Loss_D: -0.036774 Loss_G: -0.018086 Loss_D_real: 0.000780 Loss_D_fake 0.037554
[162/5000][420/535][16438] Loss_D: -0.038060 Loss_G: 0.032975 Loss_D_real: -0.028992 Loss_D_fake 0.009068
[162/5000][425/535][16439] Loss_D: -0.039222 Loss_G: -0.001906 Loss_D_real: -0.005228 Loss_D_fake 0.033994
[162/5000][430/535][16440] Loss_D: -0.039042 Loss_G: 0.013917 Loss_D_real: -0.016500 Loss_D_fake 0.022543
[162/5000][435/535][16441] Loss_D: -0.037669 Loss_G: 0.038902 Loss_D_real: -0.040196 Loss_D_fake -0.002528
[162/5000][440/535][16442] Loss_D: -0.040752 Loss_G: 0.006947 Loss_D_real: -0.015654 Loss_D_fake 0.025098
[162/5000][445/535][16443] Loss_D: -0.038709 Loss_G: 0.013616 Loss_D_real: -0.019827 Loss_D_fake 0.018882
[162/5000][450/535][16444] Loss_D: -0.039012 Loss_G: 0.030043 Loss_D_real: -0.026914 Loss_D_fake 0.012098
[162/5000][455/535][16445] Loss_D: -0.038947 Loss_G: 0.009062 Loss_D_real: -0.014668 Loss_D_fake 0.024279
[162/5000][460/535][16446] Loss_D: -0.039161 Loss_G: 0.024414 Loss_D_real: -0.023743 Loss_D_fake 0.015418
[162/5000][465/535][16447] Loss_D: -0.037378 Loss_G: 0.001710 Loss_D_real: -0.009017 Loss_D_fake 0.028361
[162/5000][470/535][16448] Loss_D: -0.039921 Loss_G: 0.030751 Loss_D_real: -0.031327 Loss_D_fake 0.008594
[162/5000][475/535][16449] Loss_D: -0.040089 Loss_G: 0.008438 Loss_D_real: -0.017284 Loss_D_fake 0.022804
[162/5000][480/535][16450] Loss_D: -0.038894 Loss_G: 0.031615 Loss_D_real: -0.033747 Loss_D_fake 0.005147
[162/5000][485/535][16451] Loss_D: -0.039891 Loss_G: 0.016868 Loss_D_real: -0.019831 Loss_D_fake 0.020061
[162/5000][490/535][16452] Loss_D: -0.039786 Loss_G: 0.027815 Loss_D_real: -0.026390 Loss_D_fake 0.013397
[162/5000][495/535][16453] Loss_D: -0.038543 Loss_G: -0.002259 Loss_D_real: -0.010287 Loss_D_fake 0.028256
[162/5000][500/535][16454] Loss_D: -0.038142 Loss_G: 0.037184 Loss_D_real: -0.027246 Loss_D_fake 0.010896
[162/5000][505/535][16455] Loss_D: -0.036137 Loss_G: 0.043769 Loss_D_real: -0.046153 Loss_D_fake -0.010016
[162/5000][510/535][16456] Loss_D: -0.038355 Loss_G: -0.013115 Loss_D_real: -0.005700 Loss_D_fake 0.032655
[162/5000][515/535][16457] Loss_D: -0.033834 Loss_G: 0.045534 Loss_D_real: -0.046170 Loss_D_fake -0.012336
[162/5000][520/535][16458] Loss_D: -0.038344 Loss_G: -0.007117 Loss_D_real: -0.001990 Loss_D_fake 0.036355
[162/5000][525/535][16459] Loss_D: -0.037175 Loss_G: 0.027403 Loss_D_real: -0.032055 Loss_D_fake 0.005120
[162/5000][530/535][16460] Loss_D: -0.037325 Loss_G: 0.007602 Loss_D_real: -0.015844 Loss_D_fake 0.021481
[162/5000][535/535][16461] Loss_D: -0.035110 Loss_G: 0.029108 Loss_D_real: -0.032120 Loss_D_fake 0.002990
[163/5000][5/535][16462] Loss_D: -0.039851 Loss_G: 0.023045 Loss_D_real: -0.023123 Loss_D_fake 0.016728
[163/5000][10/535][16463] Loss_D: -0.038918 Loss_G: 0.009577 Loss_D_real: -0.017668 Loss_D_fake 0.021250
[163/5000][15/535][16464] Loss_D: -0.038341 Loss_G: 0.024528 Loss_D_real: -0.028378 Loss_D_fake 0.009963
[163/5000][20/535][16465] Loss_D: -0.039511 Loss_G: 0.023446 Loss_D_real: -0.032313 Loss_D_fake 0.007198
[163/5000][25/535][16466] Loss_D: -0.039324 Loss_G: 0.045902 Loss_D_real: -0.037622 Loss_D_fake 0.001702
[163/5000][30/535][16467] Loss_D: -0.037044 Loss_G: 0.000959 Loss_D_real: -0.004051 Loss_D_fake 0.032993
[163/5000][35/535][16468] Loss_D: -0.037392 Loss_G: 0.016398 Loss_D_real: -0.025632 Loss_D_fake 0.011760
[163/5000][40/535][16469] Loss_D: -0.036835 Loss_G: 0.024930 Loss_D_real: -0.028225 Loss_D_fake 0.008610
[163/5000][45/535][16470] Loss_D: -0.039080 Loss_G: 0.036444 Loss_D_real: -0.036308 Loss_D_fake 0.002771
[163/5000][50/535][16471] Loss_D: -0.038814 Loss_G: 0.027292 Loss_D_real: -0.028214 Loss_D_fake 0.010600
[163/5000][55/535][16472] Loss_D: -0.039302 Loss_G: 0.015748 Loss_D_real: -0.021985 Loss_D_fake 0.017317
[163/5000][60/535][16473] Loss_D: -0.039014 Loss_G: 0.012142 Loss_D_real: -0.021626 Loss_D_fake 0.017388
[163/5000][65/535][16474] Loss_D: -0.037251 Loss_G: 0.046133 Loss_D_real: -0.043176 Loss_D_fake -0.005925
[163/5000][70/535][16475] Loss_D: -0.039730 Loss_G: 0.015742 Loss_D_real: -0.023944 Loss_D_fake 0.015786
[163/5000][75/535][16476] Loss_D: -0.038489 Loss_G: 0.017222 Loss_D_real: -0.029180 Loss_D_fake 0.009310
[163/5000][80/535][16477] Loss_D: -0.037639 Loss_G: 0.042753 Loss_D_real: -0.039249 Loss_D_fake -0.001610
[163/5000][85/535][16478] Loss_D: -0.036655 Loss_G: -0.008986 Loss_D_real: 0.001695 Loss_D_fake 0.038350
[163/5000][90/535][16479] Loss_D: -0.037845 Loss_G: 0.038322 Loss_D_real: -0.033824 Loss_D_fake 0.004021
[163/5000][95/535][16480] Loss_D: -0.035609 Loss_G: 0.033834 Loss_D_real: -0.034955 Loss_D_fake 0.000654
[163/5000][100/535][16481] Loss_D: -0.039547 Loss_G: 0.024042 Loss_D_real: -0.022612 Loss_D_fake 0.016936
[163/5000][105/535][16482] Loss_D: -0.039108 Loss_G: 0.027097 Loss_D_real: -0.031503 Loss_D_fake 0.007606
[163/5000][110/535][16483] Loss_D: -0.038490 Loss_G: 0.037801 Loss_D_real: -0.030218 Loss_D_fake 0.008272
[163/5000][115/535][16484] Loss_D: -0.036401 Loss_G: -0.018271 Loss_D_real: 0.003313 Loss_D_fake 0.039713
[163/5000][120/535][16485] Loss_D: -0.036051 Loss_G: 0.031650 Loss_D_real: -0.029321 Loss_D_fake 0.006731
[163/5000][125/535][16486] Loss_D: -0.035695 Loss_G: 0.007547 Loss_D_real: -0.015776 Loss_D_fake 0.019919
[163/5000][130/535][16487] Loss_D: -0.035041 Loss_G: 0.029011 Loss_D_real: -0.030026 Loss_D_fake 0.005015
[163/5000][135/535][16488] Loss_D: -0.038083 Loss_G: 0.010837 Loss_D_real: -0.019074 Loss_D_fake 0.019009
[163/5000][140/535][16489] Loss_D: -0.040131 Loss_G: 0.016069 Loss_D_real: -0.027731 Loss_D_fake 0.012399
[163/5000][145/535][16490] Loss_D: -0.036856 Loss_G: 0.035495 Loss_D_real: -0.034951 Loss_D_fake 0.001905
[163/5000][150/535][16491] Loss_D: -0.039400 Loss_G: 0.031300 Loss_D_real: -0.034682 Loss_D_fake 0.004718
[163/5000][155/535][16492] Loss_D: -0.040978 Loss_G: 0.006293 Loss_D_real: -0.020204 Loss_D_fake 0.020774
[163/5000][160/535][16493] Loss_D: -0.040304 Loss_G: 0.035597 Loss_D_real: -0.035781 Loss_D_fake 0.004522
[163/5000][165/535][16494] Loss_D: -0.041527 Loss_G: 0.005690 Loss_D_real: -0.013788 Loss_D_fake 0.027739
[163/5000][170/535][16495] Loss_D: -0.039479 Loss_G: 0.043643 Loss_D_real: -0.048200 Loss_D_fake -0.008721
[163/5000][175/535][16496] Loss_D: -0.039184 Loss_G: 0.016421 Loss_D_real: -0.021559 Loss_D_fake 0.017625
[163/5000][180/535][16497] Loss_D: -0.042492 Loss_G: 0.016694 Loss_D_real: -0.019831 Loss_D_fake 0.022662
[163/5000][185/535][16498] Loss_D: -0.039662 Loss_G: 0.005623 Loss_D_real: -0.010830 Loss_D_fake 0.028832
[163/5000][190/535][16499] Loss_D: -0.037668 Loss_G: 0.043690 Loss_D_real: -0.038874 Loss_D_fake -0.001206
[163/5000][195/535][16500] Loss_D: -0.039506 Loss_G: 0.026214 Loss_D_real: -0.022614 Loss_D_fake 0.016892
[163/5000][295/535][16501] Loss_D: -0.042513 Loss_G: 0.040834 Loss_D_real: -0.041205 Loss_D_fake 0.001308
[163/5000][300/535][16502] Loss_D: -0.041019 Loss_G: 0.020010 Loss_D_real: -0.017771 Loss_D_fake 0.023248
[163/5000][305/535][16503] Loss_D: -0.035133 Loss_G: 0.019272 Loss_D_real: -0.022839 Loss_D_fake 0.012294
[163/5000][310/535][16504] Loss_D: -0.034994 Loss_G: 0.024000 Loss_D_real: -0.022508 Loss_D_fake 0.012487
[163/5000][315/535][16505] Loss_D: -0.035879 Loss_G: 0.013308 Loss_D_real: -0.021284 Loss_D_fake 0.014596
[163/5000][320/535][16506] Loss_D: -0.037542 Loss_G: 0.011982 Loss_D_real: -0.021138 Loss_D_fake 0.016403
[163/5000][325/535][16507] Loss_D: -0.037422 Loss_G: 0.026491 Loss_D_real: -0.033728 Loss_D_fake 0.003694
[163/5000][330/535][16508] Loss_D: -0.037826 Loss_G: 0.003223 Loss_D_real: -0.006423 Loss_D_fake 0.031403
[163/5000][335/535][16509] Loss_D: -0.038979 Loss_G: 0.027513 Loss_D_real: -0.030645 Loss_D_fake 0.008334
[163/5000][340/535][16510] Loss_D: -0.038413 Loss_G: 0.025069 Loss_D_real: -0.020504 Loss_D_fake 0.017908
[163/5000][345/535][16511] Loss_D: -0.035655 Loss_G: 0.016224 Loss_D_real: -0.020918 Loss_D_fake 0.014736
[163/5000][350/535][16512] Loss_D: -0.038080 Loss_G: 0.018110 Loss_D_real: -0.025753 Loss_D_fake 0.012327
[163/5000][355/535][16513] Loss_D: -0.037096 Loss_G: 0.011519 Loss_D_real: -0.015743 Loss_D_fake 0.021353
[163/5000][360/535][16514] Loss_D: -0.038319 Loss_G: 0.017674 Loss_D_real: -0.022059 Loss_D_fake 0.016261
[163/5000][365/535][16515] Loss_D: -0.039523 Loss_G: 0.034919 Loss_D_real: -0.034836 Loss_D_fake 0.004687
[163/5000][370/535][16516] Loss_D: -0.040821 Loss_G: 0.023874 Loss_D_real: -0.027714 Loss_D_fake 0.013107
[163/5000][375/535][16517] Loss_D: -0.040390 Loss_G: 0.009583 Loss_D_real: -0.013196 Loss_D_fake 0.027194
[163/5000][380/535][16518] Loss_D: -0.036809 Loss_G: 0.027673 Loss_D_real: -0.030836 Loss_D_fake 0.005973
[163/5000][385/535][16519] Loss_D: -0.040183 Loss_G: 0.017617 Loss_D_real: -0.021174 Loss_D_fake 0.019008
[163/5000][390/535][16520] Loss_D: -0.037798 Loss_G: 0.043922 Loss_D_real: -0.035512 Loss_D_fake 0.002286
[163/5000][395/535][16521] Loss_D: -0.039464 Loss_G: 0.011900 Loss_D_real: -0.015191 Loss_D_fake 0.024273
[163/5000][400/535][16522] Loss_D: -0.039840 Loss_G: 0.026507 Loss_D_real: -0.032063 Loss_D_fake 0.007777
[163/5000][405/535][16523] Loss_D: -0.039967 Loss_G: 0.002938 Loss_D_real: -0.015391 Loss_D_fake 0.024576
[163/5000][410/535][16524] Loss_D: -0.036760 Loss_G: 0.043573 Loss_D_real: -0.043660 Loss_D_fake -0.006900
[163/5000][415/535][16525] Loss_D: -0.036795 Loss_G: -0.010193 Loss_D_real: -0.001196 Loss_D_fake 0.035599
[163/5000][420/535][16526] Loss_D: -0.038670 Loss_G: 0.008962 Loss_D_real: -0.016264 Loss_D_fake 0.022406
[163/5000][425/535][16527] Loss_D: -0.038611 Loss_G: 0.022214 Loss_D_real: -0.019058 Loss_D_fake 0.019552
[163/5000][430/535][16528] Loss_D: -0.039587 Loss_G: 0.024024 Loss_D_real: -0.023582 Loss_D_fake 0.016005
[163/5000][435/535][16529] Loss_D: -0.039496 Loss_G: 0.027615 Loss_D_real: -0.028266 Loss_D_fake 0.011229
[163/5000][440/535][16530] Loss_D: -0.039715 Loss_G: 0.034703 Loss_D_real: -0.039914 Loss_D_fake -0.000200
[163/5000][445/535][16531] Loss_D: -0.035648 Loss_G: -0.021213 Loss_D_real: 0.008256 Loss_D_fake 0.043904
[163/5000][450/535][16532] Loss_D: -0.033940 Loss_G: 0.035463 Loss_D_real: -0.037921 Loss_D_fake -0.003981
[163/5000][455/535][16533] Loss_D: -0.037664 Loss_G: 0.004128 Loss_D_real: -0.009272 Loss_D_fake 0.028393
[163/5000][460/535][16534] Loss_D: -0.038647 Loss_G: 0.037290 Loss_D_real: -0.037234 Loss_D_fake 0.001413
[163/5000][465/535][16535] Loss_D: -0.039193 Loss_G: -0.006985 Loss_D_real: -0.005772 Loss_D_fake 0.033421
[163/5000][470/535][16536] Loss_D: -0.039279 Loss_G: 0.027127 Loss_D_real: -0.022230 Loss_D_fake 0.017049
[163/5000][475/535][16537] Loss_D: -0.037710 Loss_G: 0.034057 Loss_D_real: -0.028659 Loss_D_fake 0.009051
[163/5000][480/535][16538] Loss_D: -0.039506 Loss_G: 0.022188 Loss_D_real: -0.023924 Loss_D_fake 0.015582
[163/5000][485/535][16539] Loss_D: -0.040115 Loss_G: 0.036749 Loss_D_real: -0.034840 Loss_D_fake 0.005275
[163/5000][490/535][16540] Loss_D: -0.038226 Loss_G: 0.023214 Loss_D_real: -0.018988 Loss_D_fake 0.019238
[163/5000][495/535][16541] Loss_D: -0.039783 Loss_G: 0.006399 Loss_D_real: -0.010312 Loss_D_fake 0.029471
[163/5000][500/535][16542] Loss_D: -0.036491 Loss_G: 0.042237 Loss_D_real: -0.045016 Loss_D_fake -0.008524
[163/5000][505/535][16543] Loss_D: -0.037623 Loss_G: -0.006081 Loss_D_real: -0.002940 Loss_D_fake 0.034683
[163/5000][510/535][16544] Loss_D: -0.035776 Loss_G: 0.036662 Loss_D_real: -0.035673 Loss_D_fake 0.000103
[163/5000][515/535][16545] Loss_D: -0.038120 Loss_G: 0.001785 Loss_D_real: -0.011279 Loss_D_fake 0.026841
[163/5000][520/535][16546] Loss_D: -0.038498 Loss_G: 0.007829 Loss_D_real: -0.013953 Loss_D_fake 0.024545
[163/5000][525/535][16547] Loss_D: -0.038256 Loss_G: 0.033228 Loss_D_real: -0.035692 Loss_D_fake 0.002564
[163/5000][530/535][16548] Loss_D: -0.040371 Loss_G: 0.012188 Loss_D_real: -0.012224 Loss_D_fake 0.028147
[163/5000][535/535][16549] Loss_D: -0.039225 Loss_G: -0.014603 Loss_D_real: -0.018603 Loss_D_fake 0.020623
[164/5000][5/535][16550] Loss_D: -0.037228 Loss_G: 0.009531 Loss_D_real: -0.012601 Loss_D_fake 0.024628
[164/5000][10/535][16551] Loss_D: -0.036725 Loss_G: 0.033544 Loss_D_real: -0.036484 Loss_D_fake 0.000241
[164/5000][15/535][16552] Loss_D: -0.038150 Loss_G: 0.019463 Loss_D_real: -0.023342 Loss_D_fake 0.014808
[164/5000][20/535][16553] Loss_D: -0.037038 Loss_G: -0.001730 Loss_D_real: -0.010062 Loss_D_fake 0.026976
[164/5000][25/535][16554] Loss_D: -0.037113 Loss_G: 0.022587 Loss_D_real: -0.032403 Loss_D_fake 0.004710
[164/5000][30/535][16555] Loss_D: -0.039170 Loss_G: 0.042584 Loss_D_real: -0.028858 Loss_D_fake 0.010312
[164/5000][35/535][16556] Loss_D: -0.040493 Loss_G: 0.003387 Loss_D_real: -0.009842 Loss_D_fake 0.030651
[164/5000][40/535][16557] Loss_D: -0.037314 Loss_G: 0.027844 Loss_D_real: -0.028642 Loss_D_fake 0.008672
[164/5000][45/535][16558] Loss_D: -0.036551 Loss_G: 0.007073 Loss_D_real: -0.016287 Loss_D_fake 0.020263
[164/5000][50/535][16559] Loss_D: -0.038784 Loss_G: 0.020306 Loss_D_real: -0.022394 Loss_D_fake 0.016389
[164/5000][55/535][16560] Loss_D: -0.039248 Loss_G: 0.039733 Loss_D_real: -0.031640 Loss_D_fake 0.007608
[164/5000][60/535][16561] Loss_D: -0.036305 Loss_G: 0.016468 Loss_D_real: -0.021636 Loss_D_fake 0.014669
[164/5000][65/535][16562] Loss_D: -0.038766 Loss_G: 0.047296 Loss_D_real: -0.036178 Loss_D_fake 0.002588
[164/5000][70/535][16563] Loss_D: -0.036991 Loss_G: -0.006144 Loss_D_real: -0.005184 Loss_D_fake 0.031807
[164/5000][75/535][16564] Loss_D: -0.036999 Loss_G: 0.025759 Loss_D_real: -0.030663 Loss_D_fake 0.006336
[164/5000][80/535][16565] Loss_D: -0.037343 Loss_G: 0.009708 Loss_D_real: -0.012386 Loss_D_fake 0.024958
[164/5000][85/535][16566] Loss_D: -0.038320 Loss_G: 0.036130 Loss_D_real: -0.033205 Loss_D_fake 0.005115
[164/5000][90/535][16567] Loss_D: -0.036414 Loss_G: 0.015562 Loss_D_real: -0.016386 Loss_D_fake 0.020028
[164/5000][95/535][16568] Loss_D: -0.038004 Loss_G: 0.012980 Loss_D_real: -0.018908 Loss_D_fake 0.019096
[164/5000][100/535][16569] Loss_D: -0.037206 Loss_G: 0.002594 Loss_D_real: -0.009539 Loss_D_fake 0.027667
[164/5000][105/535][16570] Loss_D: -0.036929 Loss_G: 0.026623 Loss_D_real: -0.026867 Loss_D_fake 0.010062
[164/5000][110/535][16571] Loss_D: -0.039360 Loss_G: 0.016301 Loss_D_real: -0.027303 Loss_D_fake 0.012057
[164/5000][115/535][16572] Loss_D: -0.038536 Loss_G: 0.043157 Loss_D_real: -0.041214 Loss_D_fake -0.002678
[164/5000][120/535][16573] Loss_D: -0.037654 Loss_G: 0.032311 Loss_D_real: -0.020251 Loss_D_fake 0.017404
[164/5000][125/535][16574] Loss_D: -0.037260 Loss_G: 0.032149 Loss_D_real: -0.027633 Loss_D_fake 0.009627
[164/5000][130/535][16575] Loss_D: -0.040484 Loss_G: 0.046795 Loss_D_real: -0.042056 Loss_D_fake -0.001573
[164/5000][135/535][16576] Loss_D: -0.038295 Loss_G: 0.003710 Loss_D_real: -0.005566 Loss_D_fake 0.032728
[164/5000][140/535][16577] Loss_D: -0.036984 Loss_G: 0.043301 Loss_D_real: -0.041209 Loss_D_fake -0.004224
[164/5000][145/535][16578] Loss_D: -0.040480 Loss_G: -0.005487 Loss_D_real: -0.006621 Loss_D_fake 0.033859
[164/5000][150/535][16579] Loss_D: -0.037706 Loss_G: 0.031582 Loss_D_real: -0.029343 Loss_D_fake 0.008363
[164/5000][155/535][16580] Loss_D: -0.041326 Loss_G: 0.019987 Loss_D_real: -0.027167 Loss_D_fake 0.014158
[164/5000][160/535][16581] Loss_D: -0.041645 Loss_G: 0.029866 Loss_D_real: -0.029158 Loss_D_fake 0.012488
[164/5000][165/535][16582] Loss_D: -0.039641 Loss_G: -0.011193 Loss_D_real: -0.007195 Loss_D_fake 0.032447
[164/5000][170/535][16583] Loss_D: -0.039331 Loss_G: 0.019167 Loss_D_real: -0.028234 Loss_D_fake 0.011098
[164/5000][175/535][16584] Loss_D: -0.038291 Loss_G: 0.048670 Loss_D_real: -0.035905 Loss_D_fake 0.002386
[164/5000][180/535][16585] Loss_D: -0.036928 Loss_G: -0.007611 Loss_D_real: -0.003662 Loss_D_fake 0.033266
[164/5000][185/535][16586] Loss_D: -0.038578 Loss_G: 0.017948 Loss_D_real: -0.020576 Loss_D_fake 0.018002
[164/5000][190/535][16587] Loss_D: -0.038272 Loss_G: 0.040954 Loss_D_real: -0.039058 Loss_D_fake -0.000786
[164/5000][195/535][16588] Loss_D: -0.040003 Loss_G: -0.008202 Loss_D_real: -0.000748 Loss_D_fake 0.039255
[164/5000][200/535][16589] Loss_D: -0.038321 Loss_G: 0.031196 Loss_D_real: -0.034281 Loss_D_fake 0.004040
[164/5000][205/535][16590] Loss_D: -0.038788 Loss_G: 0.006216 Loss_D_real: -0.009482 Loss_D_fake 0.029306
[164/5000][210/535][16591] Loss_D: -0.038713 Loss_G: 0.020948 Loss_D_real: -0.031541 Loss_D_fake 0.007172
[164/5000][215/535][16592] Loss_D: -0.038174 Loss_G: 0.024846 Loss_D_real: -0.033667 Loss_D_fake 0.004507
[164/5000][220/535][16593] Loss_D: -0.038446 Loss_G: 0.034286 Loss_D_real: -0.035389 Loss_D_fake 0.003057
[164/5000][225/535][16594] Loss_D: -0.038949 Loss_G: 0.039580 Loss_D_real: -0.036088 Loss_D_fake 0.002861
[164/5000][230/535][16595] Loss_D: -0.040761 Loss_G: 0.019898 Loss_D_real: -0.022529 Loss_D_fake 0.018232
[164/5000][235/535][16596] Loss_D: -0.040109 Loss_G: 0.028430 Loss_D_real: -0.033858 Loss_D_fake 0.006251
[164/5000][240/535][16597] Loss_D: -0.040353 Loss_G: -0.008230 Loss_D_real: -0.013617 Loss_D_fake 0.026736
[164/5000][245/535][16598] Loss_D: -0.038333 Loss_G: 0.029569 Loss_D_real: -0.036256 Loss_D_fake 0.002077
[164/5000][250/535][16599] Loss_D: -0.037887 Loss_G: -0.012838 Loss_D_real: -0.000693 Loss_D_fake 0.037194
[164/5000][255/535][16600] Loss_D: -0.036850 Loss_G: 0.030030 Loss_D_real: -0.035802 Loss_D_fake 0.001048
[164/5000][260/535][16601] Loss_D: -0.037124 Loss_G: 0.002881 Loss_D_real: -0.010318 Loss_D_fake 0.026806
[164/5000][265/535][16602] Loss_D: -0.035566 Loss_G: -0.003836 Loss_D_real: -0.012867 Loss_D_fake 0.022698
[164/5000][270/535][16603] Loss_D: -0.036835 Loss_G: 0.015597 Loss_D_real: -0.017347 Loss_D_fake 0.019487
[164/5000][275/535][16604] Loss_D: -0.036374 Loss_G: 0.035834 Loss_D_real: -0.038489 Loss_D_fake -0.002115
[164/5000][280/535][16605] Loss_D: -0.039464 Loss_G: 0.019293 Loss_D_real: -0.019259 Loss_D_fake 0.020205
[164/5000][285/535][16606] Loss_D: -0.039370 Loss_G: 0.015508 Loss_D_real: -0.016796 Loss_D_fake 0.022574
[164/5000][290/535][16607] Loss_D: -0.038532 Loss_G: 0.029331 Loss_D_real: -0.033964 Loss_D_fake 0.004568
[164/5000][295/535][16608] Loss_D: -0.040360 Loss_G: 0.009525 Loss_D_real: -0.013183 Loss_D_fake 0.027177
[164/5000][300/535][16609] Loss_D: -0.040222 Loss_G: 0.020749 Loss_D_real: -0.027426 Loss_D_fake 0.012795
[164/5000][305/535][16610] Loss_D: -0.037771 Loss_G: 0.044383 Loss_D_real: -0.036741 Loss_D_fake 0.001030
[164/5000][310/535][16611] Loss_D: -0.039182 Loss_G: 0.010047 Loss_D_real: -0.010392 Loss_D_fake 0.028790
[164/5000][315/535][16612] Loss_D: -0.038268 Loss_G: 0.033368 Loss_D_real: -0.029429 Loss_D_fake 0.008839
[164/5000][320/535][16613] Loss_D: -0.037853 Loss_G: 0.018445 Loss_D_real: -0.018470 Loss_D_fake 0.019383
[164/5000][325/535][16614] Loss_D: -0.035946 Loss_G: -0.015291 Loss_D_real: 0.002062 Loss_D_fake 0.038009
[164/5000][330/535][16615] Loss_D: -0.035963 Loss_G: 0.038255 Loss_D_real: -0.044674 Loss_D_fake -0.008711
[164/5000][335/535][16616] Loss_D: -0.037962 Loss_G: -0.001011 Loss_D_real: -0.008331 Loss_D_fake 0.029632
[164/5000][340/535][16617] Loss_D: -0.036219 Loss_G: 0.029331 Loss_D_real: -0.028861 Loss_D_fake 0.007358
[164/5000][345/535][16618] Loss_D: -0.039982 Loss_G: 0.006331 Loss_D_real: -0.012983 Loss_D_fake 0.026999
[164/5000][350/535][16619] Loss_D: -0.039951 Loss_G: 0.030213 Loss_D_real: -0.037517 Loss_D_fake 0.002434
[164/5000][355/535][16620] Loss_D: -0.042405 Loss_G: 0.035595 Loss_D_real: -0.031616 Loss_D_fake 0.010789
[164/5000][360/535][16621] Loss_D: -0.038299 Loss_G: 0.017528 Loss_D_real: -0.020693 Loss_D_fake 0.017605
[164/5000][365/535][16622] Loss_D: -0.038820 Loss_G: 0.011317 Loss_D_real: -0.022398 Loss_D_fake 0.016422
[164/5000][370/535][16623] Loss_D: -0.040472 Loss_G: 0.007831 Loss_D_real: -0.018214 Loss_D_fake 0.022258
[164/5000][375/535][16624] Loss_D: -0.037102 Loss_G: 0.034572 Loss_D_real: -0.029624 Loss_D_fake 0.007479
[164/5000][380/535][16625] Loss_D: -0.037871 Loss_G: -0.009202 Loss_D_real: 0.000493 Loss_D_fake 0.038364
[164/5000][385/535][16626] Loss_D: -0.038591 Loss_G: 0.028562 Loss_D_real: -0.028958 Loss_D_fake 0.009633
[164/5000][390/535][16627] Loss_D: -0.039724 Loss_G: 0.020540 Loss_D_real: -0.024904 Loss_D_fake 0.014820
[164/5000][395/535][16628] Loss_D: -0.039228 Loss_G: 0.036906 Loss_D_real: -0.029344 Loss_D_fake 0.009884
[164/5000][400/535][16629] Loss_D: -0.040374 Loss_G: 0.027908 Loss_D_real: -0.022658 Loss_D_fake 0.017716
[164/5000][405/535][16630] Loss_D: -0.038927 Loss_G: -0.001705 Loss_D_real: -0.011885 Loss_D_fake 0.027042
[164/5000][410/535][16631] Loss_D: -0.036052 Loss_G: 0.031769 Loss_D_real: -0.034304 Loss_D_fake 0.001747
[164/5000][415/535][16632] Loss_D: -0.038033 Loss_G: 0.003150 Loss_D_real: -0.006862 Loss_D_fake 0.031171
[164/5000][420/535][16633] Loss_D: -0.036962 Loss_G: 0.038522 Loss_D_real: -0.036562 Loss_D_fake 0.000400
[164/5000][425/535][16634] Loss_D: -0.039105 Loss_G: 0.008130 Loss_D_real: -0.012807 Loss_D_fake 0.026298
[164/5000][430/535][16635] Loss_D: -0.039128 Loss_G: 0.012137 Loss_D_real: -0.022008 Loss_D_fake 0.017120
[164/5000][435/535][16636] Loss_D: -0.040670 Loss_G: 0.009905 Loss_D_real: -0.019110 Loss_D_fake 0.021559
[164/5000][440/535][16637] Loss_D: -0.040370 Loss_G: 0.017186 Loss_D_real: -0.027255 Loss_D_fake 0.013114
[164/5000][445/535][16638] Loss_D: -0.036834 Loss_G: 0.044658 Loss_D_real: -0.037533 Loss_D_fake -0.000700
[164/5000][450/535][16639] Loss_D: -0.040066 Loss_G: 0.001749 Loss_D_real: -0.014241 Loss_D_fake 0.025825
[164/5000][455/535][16640] Loss_D: -0.034225 Loss_G: 0.038817 Loss_D_real: -0.043581 Loss_D_fake -0.009356
[164/5000][460/535][16641] Loss_D: -0.036162 Loss_G: -0.005646 Loss_D_real: -0.007125 Loss_D_fake 0.029037
[164/5000][465/535][16642] Loss_D: -0.037470 Loss_G: 0.030987 Loss_D_real: -0.033569 Loss_D_fake 0.003901
[164/5000][470/535][16643] Loss_D: -0.040694 Loss_G: 0.023512 Loss_D_real: -0.024257 Loss_D_fake 0.016438
[164/5000][475/535][16644] Loss_D: -0.038924 Loss_G: 0.022325 Loss_D_real: -0.023118 Loss_D_fake 0.015806
[164/5000][480/535][16645] Loss_D: -0.039781 Loss_G: 0.021859 Loss_D_real: -0.024849 Loss_D_fake 0.014932
[164/5000][485/535][16646] Loss_D: -0.039351 Loss_G: 0.029711 Loss_D_real: -0.026500 Loss_D_fake 0.012851
[164/5000][490/535][16647] Loss_D: -0.041108 Loss_G: 0.022160 Loss_D_real: -0.029845 Loss_D_fake 0.011263
[164/5000][495/535][16648] Loss_D: -0.037723 Loss_G: 0.031345 Loss_D_real: -0.031340 Loss_D_fake 0.006383
[164/5000][500/535][16649] Loss_D: -0.040114 Loss_G: 0.029583 Loss_D_real: -0.032679 Loss_D_fake 0.007435
[164/5000][505/535][16650] Loss_D: -0.039248 Loss_G: 0.020048 Loss_D_real: -0.022418 Loss_D_fake 0.016829
[164/5000][510/535][16651] Loss_D: -0.038735 Loss_G: 0.036371 Loss_D_real: -0.032132 Loss_D_fake 0.006603
[164/5000][515/535][16652] Loss_D: -0.038716 Loss_G: 0.021316 Loss_D_real: -0.019426 Loss_D_fake 0.019290
[164/5000][520/535][16653] Loss_D: -0.038950 Loss_G: 0.003917 Loss_D_real: -0.017585 Loss_D_fake 0.021365
[164/5000][525/535][16654] Loss_D: -0.036534 Loss_G: 0.040620 Loss_D_real: -0.045275 Loss_D_fake -0.008740
[164/5000][530/535][16655] Loss_D: -0.038253 Loss_G: 0.011493 Loss_D_real: -0.017547 Loss_D_fake 0.020705
[164/5000][535/535][16656] Loss_D: -0.031871 Loss_G: 0.029362 Loss_D_real: -0.033910 Loss_D_fake -0.002039
[165/5000][5/535][16657] Loss_D: -0.039145 Loss_G: -0.006892 Loss_D_real: -0.007001 Loss_D_fake 0.032144
[165/5000][10/535][16658] Loss_D: -0.037118 Loss_G: 0.037601 Loss_D_real: -0.038545 Loss_D_fake -0.001427
[165/5000][15/535][16659] Loss_D: -0.036423 Loss_G: -0.004437 Loss_D_real: -0.000427 Loss_D_fake 0.035996
[165/5000][20/535][16660] Loss_D: -0.037193 Loss_G: 0.035255 Loss_D_real: -0.037848 Loss_D_fake -0.000655
[165/5000][25/535][16661] Loss_D: -0.038047 Loss_G: 0.005936 Loss_D_real: -0.019286 Loss_D_fake 0.018761
[165/5000][30/535][16662] Loss_D: -0.036577 Loss_G: 0.037082 Loss_D_real: -0.034578 Loss_D_fake 0.001999
[165/5000][35/535][16663] Loss_D: -0.039144 Loss_G: 0.016746 Loss_D_real: -0.022405 Loss_D_fake 0.016740
[165/5000][40/535][16664] Loss_D: -0.038163 Loss_G: 0.025189 Loss_D_real: -0.032618 Loss_D_fake 0.005545
[165/5000][45/535][16665] Loss_D: -0.039920 Loss_G: 0.024100 Loss_D_real: -0.037397 Loss_D_fake 0.002523
[165/5000][50/535][16666] Loss_D: -0.038966 Loss_G: 0.033944 Loss_D_real: -0.031770 Loss_D_fake 0.007196
[165/5000][55/535][16667] Loss_D: -0.038029 Loss_G: -0.011627 Loss_D_real: -0.000821 Loss_D_fake 0.037208
[165/5000][60/535][16668] Loss_D: -0.037684 Loss_G: 0.027045 Loss_D_real: -0.036164 Loss_D_fake 0.001519
[165/5000][65/535][16669] Loss_D: -0.038363 Loss_G: -0.001208 Loss_D_real: -0.011526 Loss_D_fake 0.026837
[165/5000][70/535][16670] Loss_D: -0.039321 Loss_G: 0.031510 Loss_D_real: -0.026645 Loss_D_fake 0.012677
[165/5000][75/535][16671] Loss_D: -0.039962 Loss_G: 0.030575 Loss_D_real: -0.034028 Loss_D_fake 0.005934
[165/5000][80/535][16672] Loss_D: -0.038929 Loss_G: 0.028322 Loss_D_real: -0.022276 Loss_D_fake 0.016653
[165/5000][85/535][16673] Loss_D: -0.037709 Loss_G: 0.007454 Loss_D_real: -0.017649 Loss_D_fake 0.020060
[165/5000][90/535][16674] Loss_D: -0.038995 Loss_G: 0.002775 Loss_D_real: -0.008189 Loss_D_fake 0.030806
[165/5000][95/535][16675] Loss_D: -0.037328 Loss_G: 0.036045 Loss_D_real: -0.032130 Loss_D_fake 0.005197
[165/5000][100/535][16676] Loss_D: -0.036864 Loss_G: 0.012187 Loss_D_real: -0.011377 Loss_D_fake 0.025487
[165/5000][105/535][16677] Loss_D: -0.039466 Loss_G: -0.017665 Loss_D_real: 0.002743 Loss_D_fake 0.042209
[165/5000][110/535][16678] Loss_D: -0.038441 Loss_G: 0.035798 Loss_D_real: -0.031200 Loss_D_fake 0.007241
[165/5000][115/535][16679] Loss_D: -0.038034 Loss_G: 0.001807 Loss_D_real: -0.008071 Loss_D_fake 0.029963
[165/5000][120/535][16680] Loss_D: -0.037939 Loss_G: 0.026804 Loss_D_real: -0.033673 Loss_D_fake 0.004266
[165/5000][125/535][16681] Loss_D: -0.039645 Loss_G: 0.027100 Loss_D_real: -0.027081 Loss_D_fake 0.012564
[165/5000][130/535][16682] Loss_D: -0.038096 Loss_G: 0.011985 Loss_D_real: -0.013449 Loss_D_fake 0.024647
[165/5000][135/535][16683] Loss_D: -0.039224 Loss_G: 0.000502 Loss_D_real: -0.007655 Loss_D_fake 0.031569
[165/5000][140/535][16684] Loss_D: -0.038854 Loss_G: 0.043652 Loss_D_real: -0.036897 Loss_D_fake 0.001957
[165/5000][145/535][16685] Loss_D: -0.037777 Loss_G: -0.015089 Loss_D_real: 0.001601 Loss_D_fake 0.039378
[165/5000][150/535][16686] Loss_D: -0.037953 Loss_G: 0.027022 Loss_D_real: -0.035598 Loss_D_fake 0.002354
[165/5000][155/535][16687] Loss_D: -0.038094 Loss_G: 0.019203 Loss_D_real: -0.023688 Loss_D_fake 0.014406
[165/5000][160/535][16688] Loss_D: -0.039298 Loss_G: 0.032678 Loss_D_real: -0.032604 Loss_D_fake 0.006694
[165/5000][165/535][16689] Loss_D: -0.038093 Loss_G: 0.004523 Loss_D_real: -0.009655 Loss_D_fake 0.028438
[165/5000][170/535][16690] Loss_D: -0.039184 Loss_G: 0.036709 Loss_D_real: -0.038154 Loss_D_fake 0.001030
[165/5000][175/535][16691] Loss_D: -0.038112 Loss_G: 0.008212 Loss_D_real: -0.021624 Loss_D_fake 0.016488
[165/5000][180/535][16692] Loss_D: -0.038282 Loss_G: 0.020297 Loss_D_real: -0.025679 Loss_D_fake 0.012603
[165/5000][185/535][16693] Loss_D: -0.036495 Loss_G: 0.010699 Loss_D_real: -0.016238 Loss_D_fake 0.020258
[165/5000][190/535][16694] Loss_D: -0.037795 Loss_G: 0.022347 Loss_D_real: -0.026209 Loss_D_fake 0.011586
[165/5000][195/535][16695] Loss_D: -0.036735 Loss_G: 0.037076 Loss_D_real: -0.030542 Loss_D_fake 0.006194
[165/5000][200/535][16696] Loss_D: -0.039160 Loss_G: 0.021323 Loss_D_real: -0.027709 Loss_D_fake 0.011451
[165/5000][205/535][16697] Loss_D: -0.038403 Loss_G: 0.032614 Loss_D_real: -0.036801 Loss_D_fake 0.001602
[165/5000][210/535][16698] Loss_D: -0.039781 Loss_G: 0.012364 Loss_D_real: -0.019823 Loss_D_fake 0.019958
[165/5000][215/535][16699] Loss_D: -0.038258 Loss_G: 0.028530 Loss_D_real: -0.035397 Loss_D_fake 0.002861
[165/5000][220/535][16700] Loss_D: -0.039193 Loss_G: 0.025238 Loss_D_real: -0.025178 Loss_D_fake 0.014016
[165/5000][225/535][16701] Loss_D: -0.039587 Loss_G: 0.029779 Loss_D_real: -0.030280 Loss_D_fake 0.009307
[165/5000][230/535][16702] Loss_D: -0.037270 Loss_G: 0.048833 Loss_D_real: -0.047331 Loss_D_fake -0.010061
[165/5000][235/535][16703] Loss_D: -0.037778 Loss_G: 0.017704 Loss_D_real: -0.016726 Loss_D_fake 0.021052
[165/5000][240/535][16704] Loss_D: -0.040432 Loss_G: 0.023659 Loss_D_real: -0.021991 Loss_D_fake 0.018441
[165/5000][245/535][16705] Loss_D: -0.039860 Loss_G: 0.002504 Loss_D_real: -0.010118 Loss_D_fake 0.029742
[165/5000][250/535][16706] Loss_D: -0.038681 Loss_G: 0.002758 Loss_D_real: -0.016402 Loss_D_fake 0.022279
[165/5000][255/535][16707] Loss_D: -0.038481 Loss_G: 0.034730 Loss_D_real: -0.039518 Loss_D_fake -0.001037
[165/5000][260/535][16708] Loss_D: -0.040045 Loss_G: 0.020850 Loss_D_real: -0.017828 Loss_D_fake 0.022217
[165/5000][265/535][16709] Loss_D: -0.040026 Loss_G: 0.020802 Loss_D_real: -0.017710 Loss_D_fake 0.022317
[165/5000][270/535][16710] Loss_D: -0.042100 Loss_G: 0.021772 Loss_D_real: -0.026331 Loss_D_fake 0.015769
[165/5000][275/535][16711] Loss_D: -0.040402 Loss_G: -0.000934 Loss_D_real: -0.008648 Loss_D_fake 0.031754
[165/5000][280/535][16712] Loss_D: -0.039069 Loss_G: 0.028431 Loss_D_real: -0.037806 Loss_D_fake 0.001263
[165/5000][285/535][16713] Loss_D: -0.041063 Loss_G: 0.014976 Loss_D_real: -0.020735 Loss_D_fake 0.020328
[165/5000][290/535][16714] Loss_D: -0.041796 Loss_G: 0.014239 Loss_D_real: -0.021870 Loss_D_fake 0.019926
[165/5000][295/535][16715] Loss_D: -0.038468 Loss_G: 0.036956 Loss_D_real: -0.032315 Loss_D_fake 0.006154
[165/5000][300/535][16716] Loss_D: -0.038456 Loss_G: -0.003679 Loss_D_real: -0.008448 Loss_D_fake 0.030008
[165/5000][305/535][16717] Loss_D: -0.038010 Loss_G: 0.043771 Loss_D_real: -0.042751 Loss_D_fake -0.004741
[165/5000][310/535][16718] Loss_D: -0.038299 Loss_G: -0.016209 Loss_D_real: -0.000261 Loss_D_fake 0.038038
[165/5000][315/535][16719] Loss_D: -0.036989 Loss_G: 0.027864 Loss_D_real: -0.031013 Loss_D_fake 0.005976
[165/5000][320/535][16720] Loss_D: -0.038078 Loss_G: -0.001699 Loss_D_real: -0.013750 Loss_D_fake 0.024328
[165/5000][325/535][16721] Loss_D: -0.037314 Loss_G: 0.029886 Loss_D_real: -0.031244 Loss_D_fake 0.006070
[165/5000][330/535][16722] Loss_D: -0.037144 Loss_G: 0.002003 Loss_D_real: -0.008344 Loss_D_fake 0.028800
[165/5000][335/535][16723] Loss_D: -0.037329 Loss_G: 0.012894 Loss_D_real: -0.019403 Loss_D_fake 0.017926
[165/5000][340/535][16724] Loss_D: -0.037865 Loss_G: -0.000484 Loss_D_real: -0.013386 Loss_D_fake 0.024479
[165/5000][345/535][16725] Loss_D: -0.033582 Loss_G: 0.046568 Loss_D_real: -0.048742 Loss_D_fake -0.015161
[165/5000][350/535][16726] Loss_D: -0.037923 Loss_G: -0.001974 Loss_D_real: -0.008380 Loss_D_fake 0.029543
[165/5000][355/535][16727] Loss_D: -0.037032 Loss_G: 0.040594 Loss_D_real: -0.034762 Loss_D_fake 0.002270
[165/5000][360/535][16728] Loss_D: -0.039769 Loss_G: 0.029637 Loss_D_real: -0.026681 Loss_D_fake 0.013088
[165/5000][365/535][16729] Loss_D: -0.039536 Loss_G: 0.005610 Loss_D_real: -0.010524 Loss_D_fake 0.029012
[165/5000][370/535][16730] Loss_D: -0.036650 Loss_G: 0.046142 Loss_D_real: -0.037788 Loss_D_fake -0.001138
[165/5000][375/535][16731] Loss_D: -0.039118 Loss_G: 0.010321 Loss_D_real: -0.016294 Loss_D_fake 0.022824
[165/5000][380/535][16732] Loss_D: -0.039092 Loss_G: 0.033517 Loss_D_real: -0.030505 Loss_D_fake 0.008587
[165/5000][385/535][16733] Loss_D: -0.038121 Loss_G: 0.003797 Loss_D_real: -0.003198 Loss_D_fake 0.034924
[165/5000][390/535][16734] Loss_D: -0.036582 Loss_G: 0.037423 Loss_D_real: -0.037786 Loss_D_fake -0.001205
[165/5000][395/535][16735] Loss_D: -0.037919 Loss_G: -0.003950 Loss_D_real: -0.008474 Loss_D_fake 0.029445
[165/5000][400/535][16736] Loss_D: -0.037673 Loss_G: 0.007848 Loss_D_real: -0.015304 Loss_D_fake 0.022369
[165/5000][405/535][16737] Loss_D: -0.036037 Loss_G: 0.029332 Loss_D_real: -0.033934 Loss_D_fake 0.002103
[165/5000][410/535][16738] Loss_D: -0.035991 Loss_G: 0.007834 Loss_D_real: -0.013734 Loss_D_fake 0.022256
[165/5000][415/535][16739] Loss_D: -0.037927 Loss_G: 0.010834 Loss_D_real: -0.011832 Loss_D_fake 0.026095
[165/5000][420/535][16740] Loss_D: -0.036977 Loss_G: 0.028707 Loss_D_real: -0.037436 Loss_D_fake -0.000459
[165/5000][425/535][16741] Loss_D: -0.038346 Loss_G: 0.035111 Loss_D_real: -0.028467 Loss_D_fake 0.009879
[165/5000][430/535][16742] Loss_D: -0.038727 Loss_G: -0.005022 Loss_D_real: -0.008685 Loss_D_fake 0.030042
[165/5000][435/535][16743] Loss_D: -0.036229 Loss_G: 0.032112 Loss_D_real: -0.031923 Loss_D_fake 0.004305
[165/5000][440/535][16744] Loss_D: -0.038630 Loss_G: 0.013851 Loss_D_real: -0.017999 Loss_D_fake 0.020632
[165/5000][445/535][16745] Loss_D: -0.039000 Loss_G: 0.029959 Loss_D_real: -0.026013 Loss_D_fake 0.012987
[165/5000][450/535][16746] Loss_D: -0.039189 Loss_G: 0.019773 Loss_D_real: -0.026453 Loss_D_fake 0.012736
[165/5000][455/535][16747] Loss_D: -0.037101 Loss_G: 0.039081 Loss_D_real: -0.035040 Loss_D_fake 0.002061
[165/5000][460/535][16748] Loss_D: -0.035833 Loss_G: -0.005031 Loss_D_real: -0.000483 Loss_D_fake 0.035351
[165/5000][465/535][16749] Loss_D: -0.037917 Loss_G: 0.011743 Loss_D_real: -0.016704 Loss_D_fake 0.021213
[165/5000][470/535][16750] Loss_D: -0.037980 Loss_G: 0.018716 Loss_D_real: -0.024315 Loss_D_fake 0.013665
[165/5000][475/535][16751] Loss_D: -0.039838 Loss_G: 0.010339 Loss_D_real: -0.012781 Loss_D_fake 0.027057
[165/5000][480/535][16752] Loss_D: -0.039256 Loss_G: 0.027832 Loss_D_real: -0.024807 Loss_D_fake 0.014448
[165/5000][485/535][16753] Loss_D: -0.038997 Loss_G: 0.008622 Loss_D_real: -0.015346 Loss_D_fake 0.023650
[165/5000][490/535][16754] Loss_D: -0.040124 Loss_G: 0.033944 Loss_D_real: -0.029708 Loss_D_fake 0.010416
[165/5000][495/535][16755] Loss_D: -0.039458 Loss_G: 0.018222 Loss_D_real: -0.029529 Loss_D_fake 0.009928
[165/5000][500/535][16756] Loss_D: -0.039698 Loss_G: 0.028274 Loss_D_real: -0.033305 Loss_D_fake 0.006392
[165/5000][505/535][16757] Loss_D: -0.036916 Loss_G: -0.018803 Loss_D_real: 0.014230 Loss_D_fake 0.051146
[165/5000][510/535][16758] Loss_D: -0.036544 Loss_G: 0.017088 Loss_D_real: -0.026577 Loss_D_fake 0.009967
[165/5000][515/535][16759] Loss_D: -0.037547 Loss_G: 0.036119 Loss_D_real: -0.031746 Loss_D_fake 0.005801
[165/5000][520/535][16760] Loss_D: -0.040437 Loss_G: 0.019122 Loss_D_real: -0.025750 Loss_D_fake 0.014688
[165/5000][525/535][16761] Loss_D: -0.039682 Loss_G: 0.000219 Loss_D_real: -0.008666 Loss_D_fake 0.031016
[165/5000][530/535][16762] Loss_D: -0.038600 Loss_G: 0.030495 Loss_D_real: -0.038532 Loss_D_fake 0.000068
[165/5000][535/535][16763] Loss_D: -0.040368 Loss_G: 0.030713 Loss_D_real: -0.035361 Loss_D_fake 0.005007
[166/5000][5/535][16764] Loss_D: -0.038348 Loss_G: -0.001959 Loss_D_real: -0.002112 Loss_D_fake 0.036236
[166/5000][10/535][16765] Loss_D: -0.038811 Loss_G: 0.036771 Loss_D_real: -0.034824 Loss_D_fake 0.003987
[166/5000][15/535][16766] Loss_D: -0.039937 Loss_G: 0.022306 Loss_D_real: -0.028106 Loss_D_fake 0.011830
[166/5000][20/535][16767] Loss_D: -0.038728 Loss_G: 0.018648 Loss_D_real: -0.017399 Loss_D_fake 0.021329
[166/5000][25/535][16768] Loss_D: -0.039666 Loss_G: 0.001118 Loss_D_real: -0.017766 Loss_D_fake 0.021900
[166/5000][30/535][16769] Loss_D: -0.039182 Loss_G: 0.027259 Loss_D_real: -0.033390 Loss_D_fake 0.005792
[166/5000][35/535][16770] Loss_D: -0.037287 Loss_G: -0.001048 Loss_D_real: -0.004339 Loss_D_fake 0.032948
[166/5000][40/535][16771] Loss_D: -0.036581 Loss_G: 0.006135 Loss_D_real: -0.020029 Loss_D_fake 0.016552
[166/5000][45/535][16772] Loss_D: -0.035375 Loss_G: 0.044795 Loss_D_real: -0.039791 Loss_D_fake -0.004416
[166/5000][50/535][16773] Loss_D: -0.037949 Loss_G: 0.000340 Loss_D_real: -0.007257 Loss_D_fake 0.030692
[166/5000][55/535][16774] Loss_D: -0.037001 Loss_G: 0.023160 Loss_D_real: -0.026797 Loss_D_fake 0.010204
[166/5000][60/535][16775] Loss_D: -0.037253 Loss_G: 0.002680 Loss_D_real: -0.015751 Loss_D_fake 0.021502
[166/5000][65/535][16776] Loss_D: -0.037325 Loss_G: 0.041873 Loss_D_real: -0.036025 Loss_D_fake 0.001300
[166/5000][70/535][16777] Loss_D: -0.038703 Loss_G: -0.005270 Loss_D_real: 0.001836 Loss_D_fake 0.040539
[166/5000][75/535][16778] Loss_D: -0.037901 Loss_G: 0.029246 Loss_D_real: -0.029758 Loss_D_fake 0.008142
[166/5000][80/535][16779] Loss_D: -0.039719 Loss_G: 0.015998 Loss_D_real: -0.019583 Loss_D_fake 0.020136
[166/5000][85/535][16780] Loss_D: -0.041149 Loss_G: 0.023260 Loss_D_real: -0.028486 Loss_D_fake 0.012663
[166/5000][90/535][16781] Loss_D: -0.041666 Loss_G: 0.017990 Loss_D_real: -0.029932 Loss_D_fake 0.011734
[166/5000][95/535][16782] Loss_D: -0.039907 Loss_G: 0.028953 Loss_D_real: -0.026054 Loss_D_fake 0.013853
[166/5000][100/535][16783] Loss_D: -0.040577 Loss_G: 0.024023 Loss_D_real: -0.028513 Loss_D_fake 0.012064
[166/5000][105/535][16784] Loss_D: -0.038695 Loss_G: 0.014898 Loss_D_real: -0.032811 Loss_D_fake 0.005884
[166/5000][110/535][16785] Loss_D: -0.039503 Loss_G: -0.003709 Loss_D_real: -0.013268 Loss_D_fake 0.026235
[166/5000][115/535][16786] Loss_D: -0.038975 Loss_G: -0.003334 Loss_D_real: -0.005132 Loss_D_fake 0.033844
[166/5000][120/535][16787] Loss_D: -0.035971 Loss_G: 0.044935 Loss_D_real: -0.045864 Loss_D_fake -0.009893
[166/5000][125/535][16788] Loss_D: -0.037417 Loss_G: 0.009093 Loss_D_real: -0.002218 Loss_D_fake 0.035198
[166/5000][130/535][16789] Loss_D: -0.037125 Loss_G: 0.031362 Loss_D_real: -0.029734 Loss_D_fake 0.007391
[166/5000][135/535][16790] Loss_D: -0.039249 Loss_G: 0.002334 Loss_D_real: -0.011675 Loss_D_fake 0.027574
[166/5000][140/535][16791] Loss_D: -0.037586 Loss_G: 0.030219 Loss_D_real: -0.035507 Loss_D_fake 0.002079
[166/5000][145/535][16792] Loss_D: -0.038551 Loss_G: 0.001246 Loss_D_real: -0.017253 Loss_D_fake 0.021298
[166/5000][150/535][16793] Loss_D: -0.038972 Loss_G: 0.020606 Loss_D_real: -0.028558 Loss_D_fake 0.010414
[166/5000][155/535][16794] Loss_D: -0.039247 Loss_G: 0.040584 Loss_D_real: -0.029041 Loss_D_fake 0.010206
[166/5000][160/535][16795] Loss_D: -0.038582 Loss_G: 0.009947 Loss_D_real: -0.013192 Loss_D_fake 0.025391
[166/5000][165/535][16796] Loss_D: -0.039170 Loss_G: 0.013587 Loss_D_real: -0.018199 Loss_D_fake 0.020971
[166/5000][170/535][16797] Loss_D: -0.037319 Loss_G: 0.007252 Loss_D_real: -0.018479 Loss_D_fake 0.018841
[166/5000][175/535][16798] Loss_D: -0.037092 Loss_G: 0.034890 Loss_D_real: -0.036938 Loss_D_fake 0.000155
[166/5000][180/535][16799] Loss_D: -0.039262 Loss_G: 0.006475 Loss_D_real: -0.019523 Loss_D_fake 0.019740
[166/5000][185/535][16800] Loss_D: -0.037933 Loss_G: 0.032564 Loss_D_real: -0.036587 Loss_D_fake 0.001346
[166/5000][190/535][16801] Loss_D: -0.037690 Loss_G: -0.006403 Loss_D_real: -0.001976 Loss_D_fake 0.035714
[166/5000][195/535][16802] Loss_D: -0.036071 Loss_G: 0.019095 Loss_D_real: -0.021639 Loss_D_fake 0.014432
[166/5000][200/535][16803] Loss_D: -0.038050 Loss_G: 0.000070 Loss_D_real: -0.016544 Loss_D_fake 0.021506
[166/5000][205/535][16804] Loss_D: -0.036087 Loss_G: 0.033997 Loss_D_real: -0.037955 Loss_D_fake -0.001868
[166/5000][210/535][16805] Loss_D: -0.038612 Loss_G: 0.025567 Loss_D_real: -0.028947 Loss_D_fake 0.009665
[166/5000][215/535][16806] Loss_D: -0.039518 Loss_G: 0.009263 Loss_D_real: -0.016300 Loss_D_fake 0.023218
[166/5000][220/535][16807] Loss_D: -0.036766 Loss_G: -0.004010 Loss_D_real: -0.007795 Loss_D_fake 0.028971
[166/5000][225/535][16808] Loss_D: -0.033071 Loss_G: 0.050916 Loss_D_real: -0.048218 Loss_D_fake -0.015147
[166/5000][230/535][16809] Loss_D: -0.038600 Loss_G: 0.016142 Loss_D_real: -0.020552 Loss_D_fake 0.018048
[166/5000][235/535][16810] Loss_D: -0.041098 Loss_G: 0.022992 Loss_D_real: -0.021826 Loss_D_fake 0.019272
[166/5000][240/535][16811] Loss_D: -0.040142 Loss_G: 0.040748 Loss_D_real: -0.033723 Loss_D_fake 0.006419
[166/5000][245/535][16812] Loss_D: -0.039430 Loss_G: 0.016370 Loss_D_real: -0.019030 Loss_D_fake 0.020400
[166/5000][250/535][16813] Loss_D: -0.040428 Loss_G: 0.032669 Loss_D_real: -0.030530 Loss_D_fake 0.009898
[166/5000][255/535][16814] Loss_D: -0.039895 Loss_G: 0.022216 Loss_D_real: -0.019558 Loss_D_fake 0.020337
[166/5000][260/535][16815] Loss_D: -0.039424 Loss_G: 0.050833 Loss_D_real: -0.041480 Loss_D_fake -0.002055
[166/5000][265/535][16816] Loss_D: -0.038061 Loss_G: -0.004094 Loss_D_real: 0.000636 Loss_D_fake 0.038697
[166/5000][270/535][16817] Loss_D: -0.036974 Loss_G: 0.039694 Loss_D_real: -0.034411 Loss_D_fake 0.002562
[166/5000][275/535][16818] Loss_D: -0.037045 Loss_G: -0.001590 Loss_D_real: -0.008324 Loss_D_fake 0.028720
[166/5000][280/535][16819] Loss_D: -0.036088 Loss_G: 0.039466 Loss_D_real: -0.044597 Loss_D_fake -0.008509
[166/5000][285/535][16820] Loss_D: -0.035869 Loss_G: 0.007739 Loss_D_real: -0.014887 Loss_D_fake 0.020982
[166/5000][290/535][16821] Loss_D: -0.037263 Loss_G: 0.034713 Loss_D_real: -0.030094 Loss_D_fake 0.007168
[166/5000][295/535][16822] Loss_D: -0.038664 Loss_G: 0.011986 Loss_D_real: -0.018224 Loss_D_fake 0.020440
[166/5000][300/535][16823] Loss_D: -0.037685 Loss_G: 0.038858 Loss_D_real: -0.037387 Loss_D_fake 0.000298
[166/5000][305/535][16824] Loss_D: -0.037441 Loss_G: 0.002092 Loss_D_real: -0.013528 Loss_D_fake 0.023913
[166/5000][310/535][16825] Loss_D: -0.036113 Loss_G: 0.039090 Loss_D_real: -0.034039 Loss_D_fake 0.002074
[166/5000][315/535][16826] Loss_D: -0.036336 Loss_G: -0.011600 Loss_D_real: -0.004153 Loss_D_fake 0.032183
[166/5000][320/535][16827] Loss_D: -0.037758 Loss_G: 0.010444 Loss_D_real: -0.022018 Loss_D_fake 0.015741
[166/5000][325/535][16828] Loss_D: -0.038475 Loss_G: 0.018611 Loss_D_real: -0.027679 Loss_D_fake 0.010796
[166/5000][330/535][16829] Loss_D: -0.035996 Loss_G: 0.041026 Loss_D_real: -0.040537 Loss_D_fake -0.004541
[166/5000][335/535][16830] Loss_D: -0.038699 Loss_G: 0.012081 Loss_D_real: -0.020801 Loss_D_fake 0.017898
[166/5000][340/535][16831] Loss_D: -0.037186 Loss_G: -0.003093 Loss_D_real: -0.013923 Loss_D_fake 0.023263
[166/5000][345/535][16832] Loss_D: -0.037812 Loss_G: 0.031022 Loss_D_real: -0.034443 Loss_D_fake 0.003368
[166/5000][350/535][16833] Loss_D: -0.037417 Loss_G: 0.028326 Loss_D_real: -0.031089 Loss_D_fake 0.006328
[166/5000][355/535][16834] Loss_D: -0.039123 Loss_G: 0.009051 Loss_D_real: -0.015339 Loss_D_fake 0.023783
[166/5000][360/535][16835] Loss_D: -0.041684 Loss_G: 0.030786 Loss_D_real: -0.032801 Loss_D_fake 0.008883
[166/5000][365/535][16836] Loss_D: -0.039394 Loss_G: -0.000602 Loss_D_real: -0.013374 Loss_D_fake 0.026020
[166/5000][370/535][16837] Loss_D: -0.036963 Loss_G: 0.043147 Loss_D_real: -0.041767 Loss_D_fake -0.004804
[166/5000][375/535][16838] Loss_D: -0.038980 Loss_G: 0.023073 Loss_D_real: -0.027476 Loss_D_fake 0.011504
[166/5000][380/535][16839] Loss_D: -0.039252 Loss_G: 0.010155 Loss_D_real: -0.015010 Loss_D_fake 0.024242
[166/5000][385/535][16840] Loss_D: -0.038819 Loss_G: 0.010509 Loss_D_real: -0.011198 Loss_D_fake 0.027621
[166/5000][390/535][16841] Loss_D: -0.038614 Loss_G: 0.011755 Loss_D_real: -0.020466 Loss_D_fake 0.018148
[166/5000][395/535][16842] Loss_D: -0.035117 Loss_G: 0.047732 Loss_D_real: -0.047409 Loss_D_fake -0.012292
[166/5000][400/535][16843] Loss_D: -0.039572 Loss_G: 0.027123 Loss_D_real: -0.034135 Loss_D_fake 0.005437
[166/5000][405/535][16844] Loss_D: -0.039906 Loss_G: 0.034403 Loss_D_real: -0.032995 Loss_D_fake 0.006911
[166/5000][410/535][16845] Loss_D: -0.039780 Loss_G: 0.003311 Loss_D_real: -0.012338 Loss_D_fake 0.027442
[166/5000][415/535][16846] Loss_D: -0.038132 Loss_G: 0.042910 Loss_D_real: -0.038199 Loss_D_fake -0.000067
[166/5000][420/535][16847] Loss_D: -0.037265 Loss_G: -0.001116 Loss_D_real: -0.005354 Loss_D_fake 0.031911
[166/5000][425/535][16848] Loss_D: -0.038014 Loss_G: 0.030754 Loss_D_real: -0.034051 Loss_D_fake 0.003963
[166/5000][430/535][16849] Loss_D: -0.036884 Loss_G: 0.000030 Loss_D_real: -0.003180 Loss_D_fake 0.033704
[166/5000][435/535][16850] Loss_D: -0.039111 Loss_G: 0.031460 Loss_D_real: -0.032604 Loss_D_fake 0.006507
[166/5000][440/535][16851] Loss_D: -0.039584 Loss_G: 0.042171 Loss_D_real: -0.033732 Loss_D_fake 0.005852
[166/5000][445/535][16852] Loss_D: -0.039519 Loss_G: 0.009895 Loss_D_real: -0.013147 Loss_D_fake 0.026372
[166/5000][450/535][16853] Loss_D: -0.038235 Loss_G: 0.031073 Loss_D_real: -0.033055 Loss_D_fake 0.005180
[166/5000][455/535][16854] Loss_D: -0.038592 Loss_G: 0.006802 Loss_D_real: -0.012513 Loss_D_fake 0.026079
[166/5000][460/535][16855] Loss_D: -0.037505 Loss_G: 0.035544 Loss_D_real: -0.035934 Loss_D_fake 0.001571
[166/5000][465/535][16856] Loss_D: -0.039502 Loss_G: 0.003127 Loss_D_real: -0.012108 Loss_D_fake 0.027393
[166/5000][470/535][16857] Loss_D: -0.038694 Loss_G: 0.036752 Loss_D_real: -0.047171 Loss_D_fake -0.008477
[166/5000][475/535][16858] Loss_D: -0.037732 Loss_G: -0.005393 Loss_D_real: -0.013220 Loss_D_fake 0.024512
[166/5000][480/535][16859] Loss_D: -0.039278 Loss_G: 0.029594 Loss_D_real: -0.032908 Loss_D_fake 0.006370
[166/5000][485/535][16860] Loss_D: -0.038965 Loss_G: 0.036473 Loss_D_real: -0.031584 Loss_D_fake 0.007381
[166/5000][490/535][16861] Loss_D: -0.038649 Loss_G: -0.007680 Loss_D_real: -0.008593 Loss_D_fake 0.030056
[166/5000][495/535][16862] Loss_D: -0.038888 Loss_G: 0.038168 Loss_D_real: -0.038719 Loss_D_fake 0.000170
[166/5000][500/535][16863] Loss_D: -0.039381 Loss_G: 0.015677 Loss_D_real: -0.019010 Loss_D_fake 0.020371
[166/5000][505/535][16864] Loss_D: -0.040823 Loss_G: 0.001583 Loss_D_real: -0.017845 Loss_D_fake 0.022978
[166/5000][510/535][16865] Loss_D: -0.039882 Loss_G: 0.032471 Loss_D_real: -0.037107 Loss_D_fake 0.002774
[166/5000][515/535][16866] Loss_D: -0.040145 Loss_G: 0.016085 Loss_D_real: -0.021164 Loss_D_fake 0.018981
[166/5000][520/535][16867] Loss_D: -0.036651 Loss_G: 0.039611 Loss_D_real: -0.039950 Loss_D_fake -0.003300
[166/5000][525/535][16868] Loss_D: -0.037431 Loss_G: 0.029968 Loss_D_real: -0.028144 Loss_D_fake 0.009287
[166/5000][530/535][16869] Loss_D: -0.038509 Loss_G: 0.010050 Loss_D_real: -0.013168 Loss_D_fake 0.025341
[166/5000][535/535][16870] Loss_D: -0.038808 Loss_G: 0.018889 Loss_D_real: -0.028996 Loss_D_fake 0.009812
[167/5000][5/535][16871] Loss_D: -0.040110 Loss_G: 0.033637 Loss_D_real: -0.032880 Loss_D_fake 0.007230
[167/5000][10/535][16872] Loss_D: -0.036792 Loss_G: -0.019906 Loss_D_real: -0.001561 Loss_D_fake 0.035232
[167/5000][15/535][16873] Loss_D: -0.036926 Loss_G: 0.024060 Loss_D_real: -0.034132 Loss_D_fake 0.002794
[167/5000][20/535][16874] Loss_D: -0.037801 Loss_G: 0.033919 Loss_D_real: -0.037186 Loss_D_fake 0.000615
[167/5000][25/535][16875] Loss_D: -0.039077 Loss_G: 0.006225 Loss_D_real: -0.019069 Loss_D_fake 0.020008
[167/5000][30/535][16876] Loss_D: -0.037668 Loss_G: 0.033144 Loss_D_real: -0.034281 Loss_D_fake 0.003387
[167/5000][35/535][16877] Loss_D: -0.039654 Loss_G: -0.008537 Loss_D_real: -0.012434 Loss_D_fake 0.027220
[167/5000][40/535][16878] Loss_D: -0.037436 Loss_G: 0.026181 Loss_D_real: -0.035040 Loss_D_fake 0.002396
[167/5000][45/535][16879] Loss_D: -0.037417 Loss_G: 0.004451 Loss_D_real: -0.015319 Loss_D_fake 0.022098
[167/5000][50/535][16880] Loss_D: -0.037598 Loss_G: 0.030134 Loss_D_real: -0.029338 Loss_D_fake 0.008260
[167/5000][55/535][16881] Loss_D: -0.038908 Loss_G: 0.013959 Loss_D_real: -0.015859 Loss_D_fake 0.023049
[167/5000][60/535][16882] Loss_D: -0.038990 Loss_G: 0.027274 Loss_D_real: -0.028375 Loss_D_fake 0.010615
[167/5000][65/535][16883] Loss_D: -0.038812 Loss_G: -0.001997 Loss_D_real: -0.012996 Loss_D_fake 0.025816
[167/5000][70/535][16884] Loss_D: -0.037663 Loss_G: 0.048120 Loss_D_real: -0.043055 Loss_D_fake -0.005392
[167/5000][75/535][16885] Loss_D: -0.037514 Loss_G: 0.001369 Loss_D_real: -0.008454 Loss_D_fake 0.029060
[167/5000][80/535][16886] Loss_D: -0.038875 Loss_G: 0.015944 Loss_D_real: -0.019733 Loss_D_fake 0.019143
[167/5000][85/535][16887] Loss_D: -0.038032 Loss_G: 0.032616 Loss_D_real: -0.035312 Loss_D_fake 0.002720
[167/5000][90/535][16888] Loss_D: -0.038548 Loss_G: 0.007760 Loss_D_real: -0.014224 Loss_D_fake 0.024324
[167/5000][95/535][16889] Loss_D: -0.038800 Loss_G: 0.027320 Loss_D_real: -0.033276 Loss_D_fake 0.005525
[167/5000][100/535][16890] Loss_D: -0.037038 Loss_G: -0.009994 Loss_D_real: -0.005644 Loss_D_fake 0.031394
[167/5000][105/535][16891] Loss_D: -0.037426 Loss_G: 0.032404 Loss_D_real: -0.033639 Loss_D_fake 0.003788
[167/5000][110/535][16892] Loss_D: -0.038712 Loss_G: 0.027457 Loss_D_real: -0.029588 Loss_D_fake 0.009124
[167/5000][115/535][16893] Loss_D: -0.040632 Loss_G: -0.001951 Loss_D_real: -0.010482 Loss_D_fake 0.030150
[167/5000][120/535][16894] Loss_D: -0.037487 Loss_G: 0.029670 Loss_D_real: -0.036051 Loss_D_fake 0.001436
[167/5000][125/535][16895] Loss_D: -0.040941 Loss_G: 0.026756 Loss_D_real: -0.031637 Loss_D_fake 0.009304
[167/5000][130/535][16896] Loss_D: -0.039548 Loss_G: 0.036161 Loss_D_real: -0.030686 Loss_D_fake 0.008862
[167/5000][135/535][16897] Loss_D: -0.039712 Loss_G: 0.000728 Loss_D_real: -0.013948 Loss_D_fake 0.025764
[167/5000][140/535][16898] Loss_D: -0.038188 Loss_G: 0.031024 Loss_D_real: -0.031955 Loss_D_fake 0.006233
[167/5000][145/535][16899] Loss_D: -0.040192 Loss_G: 0.026539 Loss_D_real: -0.031139 Loss_D_fake 0.009053
[167/5000][150/535][16900] Loss_D: -0.039071 Loss_G: 0.025460 Loss_D_real: -0.026309 Loss_D_fake 0.012762
[167/5000][155/535][16901] Loss_D: -0.039173 Loss_G: 0.019755 Loss_D_real: -0.022192 Loss_D_fake 0.016981
[167/5000][160/535][16902] Loss_D: -0.039003 Loss_G: 0.027845 Loss_D_real: -0.026548 Loss_D_fake 0.012455
[167/5000][165/535][16903] Loss_D: -0.040649 Loss_G: 0.003203 Loss_D_real: -0.019265 Loss_D_fake 0.021384
[167/5000][170/535][16904] Loss_D: -0.038157 Loss_G: 0.018811 Loss_D_real: -0.029011 Loss_D_fake 0.009146
[167/5000][175/535][16905] Loss_D: -0.037132 Loss_G: -0.007925 Loss_D_real: -0.009801 Loss_D_fake 0.027331
[167/5000][180/535][16906] Loss_D: -0.036821 Loss_G: 0.033472 Loss_D_real: -0.031568 Loss_D_fake 0.005253
[167/5000][185/535][16907] Loss_D: -0.039879 Loss_G: 0.018043 Loss_D_real: -0.022018 Loss_D_fake 0.017862
[167/5000][190/535][16908] Loss_D: -0.039238 Loss_G: 0.028648 Loss_D_real: -0.032331 Loss_D_fake 0.006907
[167/5000][195/535][16909] Loss_D: -0.039279 Loss_G: -0.000135 Loss_D_real: -0.014773 Loss_D_fake 0.024506
[167/5000][200/535][16910] Loss_D: -0.035401 Loss_G: 0.042602 Loss_D_real: -0.045118 Loss_D_fake -0.009716
[167/5000][205/535][16911] Loss_D: -0.037936 Loss_G: -0.011461 Loss_D_real: -0.006553 Loss_D_fake 0.031383
[167/5000][210/535][16912] Loss_D: -0.035600 Loss_G: 0.032183 Loss_D_real: -0.035313 Loss_D_fake 0.000288
[167/5000][215/535][16913] Loss_D: -0.039082 Loss_G: 0.017157 Loss_D_real: -0.022185 Loss_D_fake 0.016897
[167/5000][220/535][16914] Loss_D: -0.039488 Loss_G: 0.014284 Loss_D_real: -0.023860 Loss_D_fake 0.015628
[167/5000][225/535][16915] Loss_D: -0.036436 Loss_G: 0.040248 Loss_D_real: -0.046933 Loss_D_fake -0.010497
[167/5000][230/535][16916] Loss_D: -0.037755 Loss_G: 0.018003 Loss_D_real: -0.031803 Loss_D_fake 0.005952
[167/5000][235/535][16917] Loss_D: -0.039050 Loss_G: 0.038297 Loss_D_real: -0.036774 Loss_D_fake 0.002276
[167/5000][240/535][16918] Loss_D: -0.038111 Loss_G: 0.008973 Loss_D_real: -0.022155 Loss_D_fake 0.015956
[167/5000][245/535][16919] Loss_D: -0.037272 Loss_G: 0.042370 Loss_D_real: -0.035662 Loss_D_fake 0.001610
[167/5000][250/535][16920] Loss_D: -0.039367 Loss_G: 0.022929 Loss_D_real: -0.028237 Loss_D_fake 0.011130
[167/5000][255/535][16921] Loss_D: -0.038652 Loss_G: -0.005707 Loss_D_real: -0.012691 Loss_D_fake 0.025961
[167/5000][260/535][16922] Loss_D: -0.036314 Loss_G: 0.027871 Loss_D_real: -0.033043 Loss_D_fake 0.003271
[167/5000][265/535][16923] Loss_D: -0.040015 Loss_G: 0.009548 Loss_D_real: -0.006870 Loss_D_fake 0.033146
[167/5000][270/535][16924] Loss_D: -0.038797 Loss_G: 0.028699 Loss_D_real: -0.026914 Loss_D_fake 0.011883
[167/5000][275/535][16925] Loss_D: -0.038451 Loss_G: -0.008626 Loss_D_real: -0.007013 Loss_D_fake 0.031438
[167/5000][280/535][16926] Loss_D: -0.036188 Loss_G: 0.032342 Loss_D_real: -0.029522 Loss_D_fake 0.006666
[167/5000][285/535][16927] Loss_D: -0.039520 Loss_G: 0.016196 Loss_D_real: -0.021264 Loss_D_fake 0.018255
[167/5000][290/535][16928] Loss_D: -0.038826 Loss_G: 0.033336 Loss_D_real: -0.034520 Loss_D_fake 0.004305
[167/5000][295/535][16929] Loss_D: -0.038307 Loss_G: 0.017281 Loss_D_real: -0.029696 Loss_D_fake 0.008611
[167/5000][300/535][16930] Loss_D: -0.040059 Loss_G: 0.020885 Loss_D_real: -0.022926 Loss_D_fake 0.017133
[167/5000][305/535][16931] Loss_D: -0.038682 Loss_G: -0.000516 Loss_D_real: -0.012732 Loss_D_fake 0.025950
[167/5000][310/535][16932] Loss_D: -0.037097 Loss_G: 0.033967 Loss_D_real: -0.035875 Loss_D_fake 0.001223
[167/5000][315/535][16933] Loss_D: -0.037466 Loss_G: -0.015041 Loss_D_real: 0.001673 Loss_D_fake 0.039139
[167/5000][320/535][16934] Loss_D: -0.037130 Loss_G: 0.021190 Loss_D_real: -0.028092 Loss_D_fake 0.009038
[167/5000][325/535][16935] Loss_D: -0.037225 Loss_G: 0.006098 Loss_D_real: -0.012873 Loss_D_fake 0.024352
[167/5000][330/535][16936] Loss_D: -0.037852 Loss_G: 0.028610 Loss_D_real: -0.030977 Loss_D_fake 0.006875
[167/5000][335/535][16937] Loss_D: -0.037818 Loss_G: 0.017609 Loss_D_real: -0.020746 Loss_D_fake 0.017073
[167/5000][340/535][16938] Loss_D: -0.039266 Loss_G: 0.018774 Loss_D_real: -0.025105 Loss_D_fake 0.014161
[167/5000][345/535][16939] Loss_D: -0.040211 Loss_G: 0.032412 Loss_D_real: -0.030661 Loss_D_fake 0.009549
[167/5000][350/535][16940] Loss_D: -0.038554 Loss_G: 0.003063 Loss_D_real: -0.003806 Loss_D_fake 0.034748
[167/5000][355/535][16941] Loss_D: -0.039043 Loss_G: 0.030764 Loss_D_real: -0.031898 Loss_D_fake 0.007145
[167/5000][360/535][16942] Loss_D: -0.039563 Loss_G: 0.010424 Loss_D_real: -0.017357 Loss_D_fake 0.022206
[167/5000][365/535][16943] Loss_D: -0.037949 Loss_G: 0.034140 Loss_D_real: -0.034885 Loss_D_fake 0.003065
[167/5000][370/535][16944] Loss_D: -0.038672 Loss_G: 0.012392 Loss_D_real: -0.018066 Loss_D_fake 0.020607
[167/5000][375/535][16945] Loss_D: -0.038098 Loss_G: 0.001341 Loss_D_real: -0.006484 Loss_D_fake 0.031613
[167/5000][380/535][16946] Loss_D: -0.038642 Loss_G: 0.014788 Loss_D_real: -0.017611 Loss_D_fake 0.021031
[167/5000][385/535][16947] Loss_D: -0.037616 Loss_G: -0.015127 Loss_D_real: -0.004205 Loss_D_fake 0.033411
[167/5000][390/535][16948] Loss_D: -0.036830 Loss_G: 0.033613 Loss_D_real: -0.028268 Loss_D_fake 0.008562
[167/5000][395/535][16949] Loss_D: -0.037665 Loss_G: 0.006783 Loss_D_real: -0.012748 Loss_D_fake 0.024917
[167/5000][400/535][16950] Loss_D: -0.036344 Loss_G: 0.028577 Loss_D_real: -0.026831 Loss_D_fake 0.009513
[167/5000][405/535][16951] Loss_D: -0.037990 Loss_G: 0.009522 Loss_D_real: -0.022722 Loss_D_fake 0.015269
[167/5000][410/535][16952] Loss_D: -0.038739 Loss_G: 0.042846 Loss_D_real: -0.036596 Loss_D_fake 0.002143
[167/5000][415/535][16953] Loss_D: -0.039295 Loss_G: -0.013561 Loss_D_real: -0.008373 Loss_D_fake 0.030922
[167/5000][420/535][16954] Loss_D: -0.037919 Loss_G: 0.030089 Loss_D_real: -0.028905 Loss_D_fake 0.009014
[167/5000][425/535][16955] Loss_D: -0.037345 Loss_G: 0.041138 Loss_D_real: -0.040721 Loss_D_fake -0.003376
[167/5000][430/535][16956] Loss_D: -0.038314 Loss_G: -0.019377 Loss_D_real: -0.000682 Loss_D_fake 0.037632
[167/5000][435/535][16957] Loss_D: -0.035403 Loss_G: 0.032902 Loss_D_real: -0.036089 Loss_D_fake -0.000686
[167/5000][440/535][16958] Loss_D: -0.038968 Loss_G: 0.016108 Loss_D_real: -0.012920 Loss_D_fake 0.026048
[167/5000][445/535][16959] Loss_D: -0.038877 Loss_G: -0.004079 Loss_D_real: -0.013694 Loss_D_fake 0.025182
[167/5000][450/535][16960] Loss_D: -0.035771 Loss_G: 0.039178 Loss_D_real: -0.043469 Loss_D_fake -0.007698
[167/5000][455/535][16961] Loss_D: -0.039939 Loss_G: 0.003146 Loss_D_real: -0.009949 Loss_D_fake 0.029990
[167/5000][460/535][16962] Loss_D: -0.037308 Loss_G: 0.030457 Loss_D_real: -0.035528 Loss_D_fake 0.001780
[167/5000][465/535][16963] Loss_D: -0.039273 Loss_G: 0.015464 Loss_D_real: -0.021331 Loss_D_fake 0.017942
[167/5000][470/535][16964] Loss_D: -0.039054 Loss_G: 0.012577 Loss_D_real: -0.017712 Loss_D_fake 0.021342
[167/5000][475/535][16965] Loss_D: -0.038548 Loss_G: 0.015241 Loss_D_real: -0.023763 Loss_D_fake 0.014785
[167/5000][480/535][16966] Loss_D: -0.036744 Loss_G: 0.026400 Loss_D_real: -0.028384 Loss_D_fake 0.008360
[167/5000][485/535][16967] Loss_D: -0.038440 Loss_G: 0.030400 Loss_D_real: -0.028973 Loss_D_fake 0.009467
[167/5000][490/535][16968] Loss_D: -0.037943 Loss_G: 0.016062 Loss_D_real: -0.022540 Loss_D_fake 0.015403
[167/5000][495/535][16969] Loss_D: -0.039116 Loss_G: 0.023927 Loss_D_real: -0.024858 Loss_D_fake 0.014258
[167/5000][500/535][16970] Loss_D: -0.040557 Loss_G: -0.000391 Loss_D_real: -0.009688 Loss_D_fake 0.030869
[167/5000][505/535][16971] Loss_D: -0.039759 Loss_G: 0.036183 Loss_D_real: -0.038031 Loss_D_fake 0.001728
[167/5000][510/535][16972] Loss_D: -0.037100 Loss_G: -0.015176 Loss_D_real: -0.002883 Loss_D_fake 0.034217
[167/5000][515/535][16973] Loss_D: -0.038070 Loss_G: 0.030882 Loss_D_real: -0.031287 Loss_D_fake 0.006783
[167/5000][520/535][16974] Loss_D: -0.040246 Loss_G: 0.004271 Loss_D_real: -0.010108 Loss_D_fake 0.030137
[167/5000][525/535][16975] Loss_D: -0.037643 Loss_G: 0.023589 Loss_D_real: -0.031250 Loss_D_fake 0.006393
[167/5000][530/535][16976] Loss_D: -0.038933 Loss_G: 0.032385 Loss_D_real: -0.032145 Loss_D_fake 0.006788
[167/5000][535/535][16977] Loss_D: -0.045272 Loss_G: 0.032950 Loss_D_real: -0.044856 Loss_D_fake 0.000416
[168/5000][5/535][16978] Loss_D: -0.038262 Loss_G: 0.007798 Loss_D_real: -0.018518 Loss_D_fake 0.019744
[168/5000][10/535][16979] Loss_D: -0.038543 Loss_G: 0.036448 Loss_D_real: -0.036641 Loss_D_fake 0.001902
[168/5000][15/535][16980] Loss_D: -0.038114 Loss_G: -0.007579 Loss_D_real: -0.007311 Loss_D_fake 0.030802
[168/5000][20/535][16981] Loss_D: -0.035685 Loss_G: 0.030470 Loss_D_real: -0.031529 Loss_D_fake 0.004157
[168/5000][25/535][16982] Loss_D: -0.038172 Loss_G: 0.030295 Loss_D_real: -0.033066 Loss_D_fake 0.005106
[168/5000][30/535][16983] Loss_D: -0.038254 Loss_G: 0.029927 Loss_D_real: -0.031290 Loss_D_fake 0.006964
[168/5000][35/535][16984] Loss_D: -0.038188 Loss_G: 0.041523 Loss_D_real: -0.044852 Loss_D_fake -0.006664
[168/5000][40/535][16985] Loss_D: -0.039021 Loss_G: 0.002689 Loss_D_real: -0.008208 Loss_D_fake 0.030813
[168/5000][45/535][16986] Loss_D: -0.038282 Loss_G: 0.026788 Loss_D_real: -0.030329 Loss_D_fake 0.007953
[168/5000][50/535][16987] Loss_D: -0.038973 Loss_G: 0.010506 Loss_D_real: -0.024011 Loss_D_fake 0.014962
[168/5000][55/535][16988] Loss_D: -0.039460 Loss_G: 0.024887 Loss_D_real: -0.027308 Loss_D_fake 0.012152
[168/5000][60/535][16989] Loss_D: -0.040980 Loss_G: 0.017672 Loss_D_real: -0.018477 Loss_D_fake 0.022503
[168/5000][65/535][16990] Loss_D: -0.038143 Loss_G: 0.042857 Loss_D_real: -0.035779 Loss_D_fake 0.002365
[168/5000][70/535][16991] Loss_D: -0.039030 Loss_G: 0.006553 Loss_D_real: -0.013207 Loss_D_fake 0.025824
[168/5000][75/535][16992] Loss_D: -0.039125 Loss_G: 0.006300 Loss_D_real: -0.018988 Loss_D_fake 0.020138
[168/5000][80/535][16993] Loss_D: -0.038218 Loss_G: 0.043710 Loss_D_real: -0.036009 Loss_D_fake 0.002209
[168/5000][85/535][16994] Loss_D: -0.039860 Loss_G: 0.004730 Loss_D_real: -0.013281 Loss_D_fake 0.026579
[168/5000][90/535][16995] Loss_D: -0.037339 Loss_G: 0.033912 Loss_D_real: -0.029448 Loss_D_fake 0.007891
[168/5000][95/535][16996] Loss_D: -0.037422 Loss_G: 0.020058 Loss_D_real: -0.019833 Loss_D_fake 0.017589
[168/5000][100/535][16997] Loss_D: -0.037815 Loss_G: -0.005610 Loss_D_real: -0.005300 Loss_D_fake 0.032515
[168/5000][105/535][16998] Loss_D: -0.036153 Loss_G: 0.045024 Loss_D_real: -0.041005 Loss_D_fake -0.004853
[168/5000][110/535][16999] Loss_D: -0.035935 Loss_G: 0.021722 Loss_D_real: -0.023897 Loss_D_fake 0.012038
[168/5000][115/535][17000] Loss_D: -0.039190 Loss_G: -0.000165 Loss_D_real: -0.014791 Loss_D_fake 0.024399
[168/5000][215/535][17001] Loss_D: -0.038998 Loss_G: -0.005651 Loss_D_real: 0.001810 Loss_D_fake 0.040809
[168/5000][220/535][17002] Loss_D: -0.037944 Loss_G: 0.027122 Loss_D_real: -0.021315 Loss_D_fake 0.016629
[168/5000][225/535][17003] Loss_D: -0.038346 Loss_G: 0.011587 Loss_D_real: -0.014247 Loss_D_fake 0.024099
[168/5000][230/535][17004] Loss_D: -0.037745 Loss_G: 0.019825 Loss_D_real: -0.027292 Loss_D_fake 0.010453
[168/5000][235/535][17005] Loss_D: -0.036860 Loss_G: 0.026335 Loss_D_real: -0.038978 Loss_D_fake -0.002118
[168/5000][240/535][17006] Loss_D: -0.040452 Loss_G: 0.035844 Loss_D_real: -0.034665 Loss_D_fake 0.005787
[168/5000][245/535][17007] Loss_D: -0.038321 Loss_G: 0.018243 Loss_D_real: -0.018776 Loss_D_fake 0.019545
[168/5000][250/535][17008] Loss_D: -0.037471 Loss_G: 0.005114 Loss_D_real: -0.013510 Loss_D_fake 0.023960
[168/5000][255/535][17009] Loss_D: -0.036576 Loss_G: 0.037262 Loss_D_real: -0.038685 Loss_D_fake -0.002109
[168/5000][260/535][17010] Loss_D: -0.036558 Loss_G: 0.004303 Loss_D_real: -0.008251 Loss_D_fake 0.028307
[168/5000][265/535][17011] Loss_D: -0.036654 Loss_G: 0.016604 Loss_D_real: -0.022131 Loss_D_fake 0.014523
[168/5000][270/535][17012] Loss_D: -0.037733 Loss_G: 0.040957 Loss_D_real: -0.035589 Loss_D_fake 0.002145
[168/5000][275/535][17013] Loss_D: -0.038790 Loss_G: 0.011446 Loss_D_real: -0.018848 Loss_D_fake 0.019942
[168/5000][280/535][17014] Loss_D: -0.039187 Loss_G: 0.040302 Loss_D_real: -0.032306 Loss_D_fake 0.006881
[168/5000][285/535][17015] Loss_D: -0.037906 Loss_G: -0.003032 Loss_D_real: -0.016058 Loss_D_fake 0.021848
[168/5000][290/535][17016] Loss_D: -0.037079 Loss_G: 0.037354 Loss_D_real: -0.038597 Loss_D_fake -0.001518
[168/5000][295/535][17017] Loss_D: -0.036678 Loss_G: -0.004517 Loss_D_real: -0.006544 Loss_D_fake 0.030133
[168/5000][300/535][17018] Loss_D: -0.035245 Loss_G: 0.022252 Loss_D_real: -0.029987 Loss_D_fake 0.005258
[168/5000][305/535][17019] Loss_D: -0.035347 Loss_G: 0.035765 Loss_D_real: -0.037251 Loss_D_fake -0.001904
[168/5000][310/535][17020] Loss_D: -0.039095 Loss_G: 0.003907 Loss_D_real: -0.004392 Loss_D_fake 0.034703
[168/5000][315/535][17021] Loss_D: -0.038178 Loss_G: 0.031022 Loss_D_real: -0.024571 Loss_D_fake 0.013607
[168/5000][320/535][17022] Loss_D: -0.038322 Loss_G: 0.015600 Loss_D_real: -0.017312 Loss_D_fake 0.021011
[168/5000][325/535][17023] Loss_D: -0.038881 Loss_G: 0.024296 Loss_D_real: -0.028846 Loss_D_fake 0.010035
[168/5000][330/535][17024] Loss_D: -0.039214 Loss_G: 0.030376 Loss_D_real: -0.027553 Loss_D_fake 0.011662
[168/5000][335/535][17025] Loss_D: -0.038393 Loss_G: 0.019329 Loss_D_real: -0.019799 Loss_D_fake 0.018594
[168/5000][340/535][17026] Loss_D: -0.038185 Loss_G: 0.016043 Loss_D_real: -0.024727 Loss_D_fake 0.013459
[168/5000][345/535][17027] Loss_D: -0.037897 Loss_G: 0.001678 Loss_D_real: -0.015250 Loss_D_fake 0.022647
[168/5000][350/535][17028] Loss_D: -0.037179 Loss_G: 0.026243 Loss_D_real: -0.031054 Loss_D_fake 0.006124
[168/5000][355/535][17029] Loss_D: -0.037490 Loss_G: -0.002595 Loss_D_real: -0.010461 Loss_D_fake 0.027029
[168/5000][360/535][17030] Loss_D: -0.038780 Loss_G: 0.025879 Loss_D_real: -0.027674 Loss_D_fake 0.011105
[168/5000][365/535][17031] Loss_D: -0.036667 Loss_G: 0.051695 Loss_D_real: -0.046232 Loss_D_fake -0.009565
[168/5000][370/535][17032] Loss_D: -0.037282 Loss_G: -0.001845 Loss_D_real: 0.001316 Loss_D_fake 0.038598
[168/5000][375/535][17033] Loss_D: -0.035375 Loss_G: 0.020709 Loss_D_real: -0.023461 Loss_D_fake 0.011914
[168/5000][380/535][17034] Loss_D: -0.037612 Loss_G: 0.019017 Loss_D_real: -0.027584 Loss_D_fake 0.010029
[168/5000][385/535][17035] Loss_D: -0.036583 Loss_G: 0.034451 Loss_D_real: -0.035384 Loss_D_fake 0.001199
[168/5000][390/535][17036] Loss_D: -0.039763 Loss_G: 0.004160 Loss_D_real: -0.014863 Loss_D_fake 0.024900
[168/5000][395/535][17037] Loss_D: -0.036825 Loss_G: 0.028599 Loss_D_real: -0.035068 Loss_D_fake 0.001757
[168/5000][400/535][17038] Loss_D: -0.037434 Loss_G: 0.006265 Loss_D_real: -0.010147 Loss_D_fake 0.027287
[168/5000][405/535][17039] Loss_D: -0.039133 Loss_G: 0.025896 Loss_D_real: -0.032919 Loss_D_fake 0.006214
[168/5000][410/535][17040] Loss_D: -0.038602 Loss_G: 0.006266 Loss_D_real: -0.009094 Loss_D_fake 0.029508
[168/5000][415/535][17041] Loss_D: -0.037626 Loss_G: 0.031235 Loss_D_real: -0.034963 Loss_D_fake 0.002662
[168/5000][420/535][17042] Loss_D: -0.037558 Loss_G: 0.006835 Loss_D_real: -0.010438 Loss_D_fake 0.027120
[168/5000][425/535][17043] Loss_D: -0.038821 Loss_G: 0.020035 Loss_D_real: -0.026116 Loss_D_fake 0.012705
[168/5000][430/535][17044] Loss_D: -0.037148 Loss_G: 0.028949 Loss_D_real: -0.030976 Loss_D_fake 0.006172
[168/5000][435/535][17045] Loss_D: -0.038864 Loss_G: -0.004070 Loss_D_real: -0.005158 Loss_D_fake 0.033706
[168/5000][440/535][17046] Loss_D: -0.038252 Loss_G: 0.032580 Loss_D_real: -0.025847 Loss_D_fake 0.012405
[168/5000][445/535][17047] Loss_D: -0.040767 Loss_G: 0.026456 Loss_D_real: -0.028584 Loss_D_fake 0.012183
[168/5000][450/535][17048] Loss_D: -0.038718 Loss_G: 0.001056 Loss_D_real: -0.009562 Loss_D_fake 0.029156
[168/5000][455/535][17049] Loss_D: -0.038893 Loss_G: 0.032015 Loss_D_real: -0.030242 Loss_D_fake 0.008652
[168/5000][460/535][17050] Loss_D: -0.040353 Loss_G: 0.009474 Loss_D_real: -0.014297 Loss_D_fake 0.026056
[168/5000][465/535][17051] Loss_D: -0.037121 Loss_G: 0.037369 Loss_D_real: -0.038945 Loss_D_fake -0.001824
[168/5000][470/535][17052] Loss_D: -0.038393 Loss_G: 0.003405 Loss_D_real: -0.003337 Loss_D_fake 0.035056
[168/5000][475/535][17053] Loss_D: -0.040608 Loss_G: 0.015339 Loss_D_real: -0.025587 Loss_D_fake 0.015022
[168/5000][480/535][17054] Loss_D: -0.041020 Loss_G: 0.027657 Loss_D_real: -0.025345 Loss_D_fake 0.015675
[168/5000][485/535][17055] Loss_D: -0.041670 Loss_G: 0.021883 Loss_D_real: -0.024821 Loss_D_fake 0.016849
[168/5000][490/535][17056] Loss_D: -0.038854 Loss_G: 0.004381 Loss_D_real: -0.009778 Loss_D_fake 0.029076
[168/5000][495/535][17057] Loss_D: -0.037227 Loss_G: 0.040595 Loss_D_real: -0.038560 Loss_D_fake -0.001333
[168/5000][500/535][17058] Loss_D: -0.036656 Loss_G: -0.006386 Loss_D_real: -0.003166 Loss_D_fake 0.033490
[168/5000][505/535][17059] Loss_D: -0.036109 Loss_G: 0.035039 Loss_D_real: -0.032084 Loss_D_fake 0.004025
[168/5000][510/535][17060] Loss_D: -0.039032 Loss_G: 0.015665 Loss_D_real: -0.020558 Loss_D_fake 0.018474
[168/5000][515/535][17061] Loss_D: -0.040485 Loss_G: 0.011656 Loss_D_real: -0.026604 Loss_D_fake 0.013881
[168/5000][520/535][17062] Loss_D: -0.038923 Loss_G: 0.017663 Loss_D_real: -0.024914 Loss_D_fake 0.014009
[168/5000][525/535][17063] Loss_D: -0.036769 Loss_G: 0.047356 Loss_D_real: -0.044188 Loss_D_fake -0.007420
[168/5000][530/535][17064] Loss_D: -0.039081 Loss_G: 0.012813 Loss_D_real: -0.018724 Loss_D_fake 0.020357
[168/5000][535/535][17065] Loss_D: -0.041419 Loss_G: 0.021371 Loss_D_real: -0.029236 Loss_D_fake 0.012184
[169/5000][5/535][17066] Loss_D: -0.038186 Loss_G: 0.039996 Loss_D_real: -0.035485 Loss_D_fake 0.002700
[169/5000][10/535][17067] Loss_D: -0.039708 Loss_G: 0.023213 Loss_D_real: -0.025859 Loss_D_fake 0.013849
[169/5000][15/535][17068] Loss_D: -0.037536 Loss_G: 0.038469 Loss_D_real: -0.029281 Loss_D_fake 0.008255
[169/5000][20/535][17069] Loss_D: -0.037414 Loss_G: -0.015068 Loss_D_real: 0.003226 Loss_D_fake 0.040639
[169/5000][25/535][17070] Loss_D: -0.036717 Loss_G: 0.036732 Loss_D_real: -0.028464 Loss_D_fake 0.008254
[169/5000][30/535][17071] Loss_D: -0.039200 Loss_G: 0.005639 Loss_D_real: -0.004146 Loss_D_fake 0.035054
[169/5000][35/535][17072] Loss_D: -0.036843 Loss_G: 0.028188 Loss_D_real: -0.034102 Loss_D_fake 0.002741
[169/5000][40/535][17073] Loss_D: -0.038982 Loss_G: 0.007454 Loss_D_real: -0.015419 Loss_D_fake 0.023562
[169/5000][45/535][17074] Loss_D: -0.037638 Loss_G: -0.001001 Loss_D_real: -0.007392 Loss_D_fake 0.030245
[169/5000][50/535][17075] Loss_D: -0.038844 Loss_G: 0.019914 Loss_D_real: -0.027376 Loss_D_fake 0.011468
[169/5000][55/535][17076] Loss_D: -0.040406 Loss_G: 0.015751 Loss_D_real: -0.022060 Loss_D_fake 0.018346
[169/5000][60/535][17077] Loss_D: -0.037716 Loss_G: 0.038761 Loss_D_real: -0.031777 Loss_D_fake 0.005939
[169/5000][65/535][17078] Loss_D: -0.039322 Loss_G: -0.004059 Loss_D_real: -0.004959 Loss_D_fake 0.034363
[169/5000][70/535][17079] Loss_D: -0.037601 Loss_G: 0.039240 Loss_D_real: -0.038244 Loss_D_fake -0.000642
[169/5000][75/535][17080] Loss_D: -0.038122 Loss_G: 0.016332 Loss_D_real: -0.022548 Loss_D_fake 0.015574
[169/5000][80/535][17081] Loss_D: -0.038588 Loss_G: 0.000903 Loss_D_real: -0.007218 Loss_D_fake 0.031370
[169/5000][85/535][17082] Loss_D: -0.038633 Loss_G: 0.033689 Loss_D_real: -0.032594 Loss_D_fake 0.006039
[169/5000][90/535][17083] Loss_D: -0.040635 Loss_G: 0.001029 Loss_D_real: -0.006154 Loss_D_fake 0.034480
[169/5000][95/535][17084] Loss_D: -0.038110 Loss_G: 0.003384 Loss_D_real: -0.014569 Loss_D_fake 0.023541
[169/5000][100/535][17085] Loss_D: -0.036829 Loss_G: 0.031909 Loss_D_real: -0.034247 Loss_D_fake 0.002582
[169/5000][105/535][17086] Loss_D: -0.038942 Loss_G: 0.028464 Loss_D_real: -0.030967 Loss_D_fake 0.007975
[169/5000][110/535][17087] Loss_D: -0.038116 Loss_G: 0.045051 Loss_D_real: -0.037149 Loss_D_fake 0.000966
[169/5000][115/535][17088] Loss_D: -0.037907 Loss_G: -0.002262 Loss_D_real: 0.001528 Loss_D_fake 0.039435
[169/5000][120/535][17089] Loss_D: -0.036491 Loss_G: 0.034936 Loss_D_real: -0.039691 Loss_D_fake -0.003200
[169/5000][125/535][17090] Loss_D: -0.039052 Loss_G: 0.005640 Loss_D_real: -0.019203 Loss_D_fake 0.019849
[169/5000][130/535][17091] Loss_D: -0.038368 Loss_G: 0.035200 Loss_D_real: -0.031984 Loss_D_fake 0.006384
[169/5000][135/535][17092] Loss_D: -0.037627 Loss_G: 0.026052 Loss_D_real: -0.028366 Loss_D_fake 0.009261
[169/5000][140/535][17093] Loss_D: -0.039619 Loss_G: 0.012084 Loss_D_real: -0.023490 Loss_D_fake 0.016128
[169/5000][145/535][17094] Loss_D: -0.038491 Loss_G: 0.043282 Loss_D_real: -0.028227 Loss_D_fake 0.010264
[169/5000][150/535][17095] Loss_D: -0.040583 Loss_G: 0.026924 Loss_D_real: -0.024487 Loss_D_fake 0.016096
[169/5000][155/535][17096] Loss_D: -0.038712 Loss_G: 0.032271 Loss_D_real: -0.034409 Loss_D_fake 0.004303
[169/5000][160/535][17097] Loss_D: -0.036702 Loss_G: -0.018955 Loss_D_real: 0.008200 Loss_D_fake 0.044902
[169/5000][165/535][17098] Loss_D: -0.035367 Loss_G: 0.029589 Loss_D_real: -0.032580 Loss_D_fake 0.002787
[169/5000][170/535][17099] Loss_D: -0.036709 Loss_G: 0.003754 Loss_D_real: -0.011333 Loss_D_fake 0.025376
[169/5000][175/535][17100] Loss_D: -0.036190 Loss_G: 0.023623 Loss_D_real: -0.022153 Loss_D_fake 0.014037
[169/5000][180/535][17101] Loss_D: -0.037317 Loss_G: 0.039647 Loss_D_real: -0.033022 Loss_D_fake 0.004295
[169/5000][185/535][17102] Loss_D: -0.037870 Loss_G: 0.003749 Loss_D_real: -0.009453 Loss_D_fake 0.028417
[169/5000][190/535][17103] Loss_D: -0.036665 Loss_G: 0.039536 Loss_D_real: -0.037267 Loss_D_fake -0.000602
[169/5000][195/535][17104] Loss_D: -0.038017 Loss_G: 0.002445 Loss_D_real: -0.008504 Loss_D_fake 0.029513
[169/5000][200/535][17105] Loss_D: -0.038279 Loss_G: 0.013444 Loss_D_real: -0.017295 Loss_D_fake 0.020985
[169/5000][205/535][17106] Loss_D: -0.036892 Loss_G: 0.016953 Loss_D_real: -0.023113 Loss_D_fake 0.013779
[169/5000][210/535][17107] Loss_D: -0.039177 Loss_G: 0.029968 Loss_D_real: -0.025814 Loss_D_fake 0.013363
[169/5000][215/535][17108] Loss_D: -0.039656 Loss_G: 0.023321 Loss_D_real: -0.022125 Loss_D_fake 0.017530
[169/5000][220/535][17109] Loss_D: -0.038986 Loss_G: 0.035175 Loss_D_real: -0.032364 Loss_D_fake 0.006621
[169/5000][225/535][17110] Loss_D: -0.038686 Loss_G: 0.003313 Loss_D_real: -0.005249 Loss_D_fake 0.033437
[169/5000][230/535][17111] Loss_D: -0.037900 Loss_G: 0.030113 Loss_D_real: -0.033708 Loss_D_fake 0.004193
[169/5000][235/535][17112] Loss_D: -0.039391 Loss_G: 0.002016 Loss_D_real: -0.013486 Loss_D_fake 0.025904
[169/5000][240/535][17113] Loss_D: -0.038944 Loss_G: 0.018855 Loss_D_real: -0.018596 Loss_D_fake 0.020348
[169/5000][245/535][17114] Loss_D: -0.039082 Loss_G: 0.046908 Loss_D_real: -0.038029 Loss_D_fake 0.001054
[169/5000][250/535][17115] Loss_D: -0.040077 Loss_G: -0.000751 Loss_D_real: -0.011657 Loss_D_fake 0.028420
[169/5000][255/535][17116] Loss_D: -0.038206 Loss_G: 0.041373 Loss_D_real: -0.034707 Loss_D_fake 0.003499
[169/5000][260/535][17117] Loss_D: -0.039613 Loss_G: 0.002722 Loss_D_real: -0.017184 Loss_D_fake 0.022429
[169/5000][265/535][17118] Loss_D: -0.037147 Loss_G: 0.006973 Loss_D_real: -0.015843 Loss_D_fake 0.021303
[169/5000][270/535][17119] Loss_D: -0.036688 Loss_G: 0.042269 Loss_D_real: -0.043973 Loss_D_fake -0.007285
[169/5000][275/535][17120] Loss_D: -0.036647 Loss_G: -0.006191 Loss_D_real: -0.002252 Loss_D_fake 0.034394
[169/5000][280/535][17121] Loss_D: -0.036685 Loss_G: 0.020074 Loss_D_real: -0.023668 Loss_D_fake 0.013017
[169/5000][285/535][17122] Loss_D: -0.036265 Loss_G: 0.026583 Loss_D_real: -0.031501 Loss_D_fake 0.004763
[169/5000][290/535][17123] Loss_D: -0.036820 Loss_G: 0.004301 Loss_D_real: -0.010673 Loss_D_fake 0.026147
[169/5000][295/535][17124] Loss_D: -0.037562 Loss_G: 0.041355 Loss_D_real: -0.038116 Loss_D_fake -0.000554
[169/5000][300/535][17125] Loss_D: -0.037656 Loss_G: 0.011886 Loss_D_real: -0.013134 Loss_D_fake 0.024522
[169/5000][305/535][17126] Loss_D: -0.037341 Loss_G: 0.031089 Loss_D_real: -0.030839 Loss_D_fake 0.006502
[169/5000][310/535][17127] Loss_D: -0.038993 Loss_G: -0.004338 Loss_D_real: -0.009783 Loss_D_fake 0.029209
[169/5000][315/535][17128] Loss_D: -0.039467 Loss_G: 0.036923 Loss_D_real: -0.033193 Loss_D_fake 0.006274
[169/5000][320/535][17129] Loss_D: -0.039194 Loss_G: -0.000146 Loss_D_real: -0.005769 Loss_D_fake 0.033425
[169/5000][325/535][17130] Loss_D: -0.037453 Loss_G: 0.031209 Loss_D_real: -0.028238 Loss_D_fake 0.009215
[169/5000][330/535][17131] Loss_D: -0.038773 Loss_G: 0.014168 Loss_D_real: -0.019837 Loss_D_fake 0.018936
[169/5000][335/535][17132] Loss_D: -0.039485 Loss_G: 0.042838 Loss_D_real: -0.034777 Loss_D_fake 0.004708
[169/5000][340/535][17133] Loss_D: -0.038466 Loss_G: 0.012388 Loss_D_real: -0.022265 Loss_D_fake 0.016201
[169/5000][345/535][17134] Loss_D: -0.040070 Loss_G: 0.023757 Loss_D_real: -0.026226 Loss_D_fake 0.013844
[169/5000][350/535][17135] Loss_D: -0.039932 Loss_G: 0.028195 Loss_D_real: -0.030282 Loss_D_fake 0.009650
[169/5000][355/535][17136] Loss_D: -0.037804 Loss_G: 0.030705 Loss_D_real: -0.027497 Loss_D_fake 0.010307
[169/5000][360/535][17137] Loss_D: -0.036849 Loss_G: -0.002598 Loss_D_real: -0.003473 Loss_D_fake 0.033376
[169/5000][365/535][17138] Loss_D: -0.038935 Loss_G: 0.030255 Loss_D_real: -0.035150 Loss_D_fake 0.003786
[169/5000][370/535][17139] Loss_D: -0.036480 Loss_G: 0.015581 Loss_D_real: -0.020860 Loss_D_fake 0.015620
[169/5000][375/535][17140] Loss_D: -0.038758 Loss_G: 0.005911 Loss_D_real: -0.019423 Loss_D_fake 0.019335
[169/5000][380/535][17141] Loss_D: -0.036390 Loss_G: 0.046276 Loss_D_real: -0.050206 Loss_D_fake -0.013816
[169/5000][385/535][17142] Loss_D: -0.039057 Loss_G: 0.019745 Loss_D_real: -0.020039 Loss_D_fake 0.019018
[169/5000][390/535][17143] Loss_D: -0.038948 Loss_G: 0.030805 Loss_D_real: -0.032421 Loss_D_fake 0.006527
[169/5000][395/535][17144] Loss_D: -0.039153 Loss_G: 0.006943 Loss_D_real: -0.015344 Loss_D_fake 0.023809
[169/5000][400/535][17145] Loss_D: -0.037908 Loss_G: 0.027499 Loss_D_real: -0.027313 Loss_D_fake 0.010594
[169/5000][405/535][17146] Loss_D: -0.037245 Loss_G: 0.008691 Loss_D_real: -0.012891 Loss_D_fake 0.024354
[169/5000][410/535][17147] Loss_D: -0.035859 Loss_G: 0.024070 Loss_D_real: -0.024801 Loss_D_fake 0.011059
[169/5000][415/535][17148] Loss_D: -0.036140 Loss_G: 0.047036 Loss_D_real: -0.041579 Loss_D_fake -0.005439
[169/5000][420/535][17149] Loss_D: -0.039417 Loss_G: 0.019249 Loss_D_real: -0.018380 Loss_D_fake 0.021037
[169/5000][425/535][17150] Loss_D: -0.037975 Loss_G: -0.000888 Loss_D_real: -0.008984 Loss_D_fake 0.028991
[169/5000][430/535][17151] Loss_D: -0.038046 Loss_G: 0.037113 Loss_D_real: -0.026394 Loss_D_fake 0.011653
[169/5000][435/535][17152] Loss_D: -0.039280 Loss_G: 0.010024 Loss_D_real: -0.016475 Loss_D_fake 0.022805
[169/5000][440/535][17153] Loss_D: -0.036916 Loss_G: 0.037747 Loss_D_real: -0.040151 Loss_D_fake -0.003235
[169/5000][445/535][17154] Loss_D: -0.038418 Loss_G: 0.022590 Loss_D_real: -0.024461 Loss_D_fake 0.013957
[169/5000][450/535][17155] Loss_D: -0.039124 Loss_G: -0.003479 Loss_D_real: -0.006986 Loss_D_fake 0.032138
[169/5000][455/535][17156] Loss_D: -0.037589 Loss_G: 0.011150 Loss_D_real: -0.015023 Loss_D_fake 0.022566
[169/5000][460/535][17157] Loss_D: -0.036441 Loss_G: 0.026459 Loss_D_real: -0.024731 Loss_D_fake 0.011710
[169/5000][465/535][17158] Loss_D: -0.039202 Loss_G: 0.028740 Loss_D_real: -0.026061 Loss_D_fake 0.013141
[169/5000][470/535][17159] Loss_D: -0.038763 Loss_G: 0.005504 Loss_D_real: -0.011501 Loss_D_fake 0.027262
[169/5000][475/535][17160] Loss_D: -0.038630 Loss_G: 0.045584 Loss_D_real: -0.036805 Loss_D_fake 0.001825
[169/5000][480/535][17161] Loss_D: -0.038622 Loss_G: 0.012057 Loss_D_real: -0.017577 Loss_D_fake 0.021044
[169/5000][485/535][17162] Loss_D: -0.038322 Loss_G: 0.038135 Loss_D_real: -0.042505 Loss_D_fake -0.004183
[169/5000][490/535][17163] Loss_D: -0.036489 Loss_G: 0.047684 Loss_D_real: -0.047668 Loss_D_fake -0.011179
[169/5000][495/535][17164] Loss_D: -0.039098 Loss_G: -0.004280 Loss_D_real: -0.003378 Loss_D_fake 0.035721
[169/5000][500/535][17165] Loss_D: -0.036772 Loss_G: 0.035617 Loss_D_real: -0.033224 Loss_D_fake 0.003547
[169/5000][505/535][17166] Loss_D: -0.037766 Loss_G: -0.003546 Loss_D_real: -0.009325 Loss_D_fake 0.028442
[169/5000][510/535][17167] Loss_D: -0.037461 Loss_G: 0.038567 Loss_D_real: -0.041792 Loss_D_fake -0.004331
[169/5000][515/535][17168] Loss_D: -0.038492 Loss_G: -0.002652 Loss_D_real: -0.008995 Loss_D_fake 0.029497
[169/5000][520/535][17169] Loss_D: -0.037754 Loss_G: 0.031202 Loss_D_real: -0.029828 Loss_D_fake 0.007926
[169/5000][525/535][17170] Loss_D: -0.036422 Loss_G: -0.009114 Loss_D_real: -0.008030 Loss_D_fake 0.028392
[169/5000][530/535][17171] Loss_D: -0.037812 Loss_G: 0.015436 Loss_D_real: -0.027989 Loss_D_fake 0.009823
[169/5000][535/535][17172] Loss_D: -0.038338 Loss_G: 0.005303 Loss_D_real: -0.023742 Loss_D_fake 0.014596
[170/5000][5/535][17173] Loss_D: -0.039377 Loss_G: 0.033459 Loss_D_real: -0.032276 Loss_D_fake 0.007101
[170/5000][10/535][17174] Loss_D: -0.038789 Loss_G: 0.008396 Loss_D_real: -0.019286 Loss_D_fake 0.019503
[170/5000][15/535][17175] Loss_D: -0.037350 Loss_G: 0.036138 Loss_D_real: -0.037784 Loss_D_fake -0.000434
[170/5000][20/535][17176] Loss_D: -0.038970 Loss_G: 0.020573 Loss_D_real: -0.018550 Loss_D_fake 0.020420
[170/5000][25/535][17177] Loss_D: -0.037156 Loss_G: 0.005935 Loss_D_real: -0.017185 Loss_D_fake 0.019970
[170/5000][30/535][17178] Loss_D: -0.036381 Loss_G: 0.039553 Loss_D_real: -0.031287 Loss_D_fake 0.005094
[170/5000][35/535][17179] Loss_D: -0.039327 Loss_G: 0.010367 Loss_D_real: -0.010832 Loss_D_fake 0.028495
[170/5000][40/535][17180] Loss_D: -0.037464 Loss_G: 0.036387 Loss_D_real: -0.041092 Loss_D_fake -0.003629
[170/5000][45/535][17181] Loss_D: -0.039569 Loss_G: 0.013627 Loss_D_real: -0.017509 Loss_D_fake 0.022059
[170/5000][50/535][17182] Loss_D: -0.036583 Loss_G: 0.013940 Loss_D_real: -0.024543 Loss_D_fake 0.012040
[170/5000][55/535][17183] Loss_D: -0.035912 Loss_G: 0.024476 Loss_D_real: -0.021114 Loss_D_fake 0.014798
[170/5000][60/535][17184] Loss_D: -0.037838 Loss_G: 0.026844 Loss_D_real: -0.019445 Loss_D_fake 0.018393
[170/5000][65/535][17185] Loss_D: -0.036410 Loss_G: -0.000765 Loss_D_real: -0.009134 Loss_D_fake 0.027276
[170/5000][70/535][17186] Loss_D: -0.034990 Loss_G: 0.013248 Loss_D_real: -0.021116 Loss_D_fake 0.013874
[170/5000][75/535][17187] Loss_D: -0.036357 Loss_G: 0.030950 Loss_D_real: -0.027948 Loss_D_fake 0.008409
[170/5000][80/535][17188] Loss_D: -0.036817 Loss_G: 0.004801 Loss_D_real: -0.012212 Loss_D_fake 0.024605
[170/5000][85/535][17189] Loss_D: -0.037556 Loss_G: 0.025487 Loss_D_real: -0.021608 Loss_D_fake 0.015947
[170/5000][90/535][17190] Loss_D: -0.039747 Loss_G: 0.030207 Loss_D_real: -0.027812 Loss_D_fake 0.011934
[170/5000][95/535][17191] Loss_D: -0.039627 Loss_G: 0.035465 Loss_D_real: -0.039462 Loss_D_fake 0.000164
[170/5000][100/535][17192] Loss_D: -0.040939 Loss_G: 0.041880 Loss_D_real: -0.031590 Loss_D_fake 0.009350
[170/5000][105/535][17193] Loss_D: -0.038799 Loss_G: 0.016112 Loss_D_real: -0.019357 Loss_D_fake 0.019441
[170/5000][110/535][17194] Loss_D: -0.039230 Loss_G: 0.010305 Loss_D_real: -0.012586 Loss_D_fake 0.026644
[170/5000][115/535][17195] Loss_D: -0.040013 Loss_G: 0.047371 Loss_D_real: -0.039274 Loss_D_fake 0.000739
[170/5000][120/535][17196] Loss_D: -0.038443 Loss_G: -0.013843 Loss_D_real: 0.000197 Loss_D_fake 0.038640
[170/5000][125/535][17197] Loss_D: -0.034922 Loss_G: 0.045428 Loss_D_real: -0.041772 Loss_D_fake -0.006849
[170/5000][130/535][17198] Loss_D: -0.039599 Loss_G: 0.004724 Loss_D_real: -0.013265 Loss_D_fake 0.026334
[170/5000][135/535][17199] Loss_D: -0.037568 Loss_G: 0.043014 Loss_D_real: -0.034618 Loss_D_fake 0.002950
[170/5000][140/535][17200] Loss_D: -0.038290 Loss_G: -0.004965 Loss_D_real: -0.008122 Loss_D_fake 0.030168
[170/5000][145/535][17201] Loss_D: -0.037001 Loss_G: 0.016363 Loss_D_real: -0.015026 Loss_D_fake 0.021975
[170/5000][150/535][17202] Loss_D: -0.037845 Loss_G: -0.001461 Loss_D_real: -0.010975 Loss_D_fake 0.026870
[170/5000][155/535][17203] Loss_D: -0.037511 Loss_G: 0.035430 Loss_D_real: -0.030902 Loss_D_fake 0.006609
[170/5000][160/535][17204] Loss_D: -0.035403 Loss_G: -0.016775 Loss_D_real: 0.005156 Loss_D_fake 0.040559
[170/5000][165/535][17205] Loss_D: -0.037995 Loss_G: 0.029430 Loss_D_real: -0.026029 Loss_D_fake 0.011966
[170/5000][170/535][17206] Loss_D: -0.039158 Loss_G: 0.019174 Loss_D_real: -0.020481 Loss_D_fake 0.018677
[170/5000][175/535][17207] Loss_D: -0.037238 Loss_G: 0.019925 Loss_D_real: -0.022233 Loss_D_fake 0.015005
[170/5000][180/535][17208] Loss_D: -0.038670 Loss_G: 0.040043 Loss_D_real: -0.028329 Loss_D_fake 0.010341
[170/5000][185/535][17209] Loss_D: -0.037829 Loss_G: 0.024372 Loss_D_real: -0.022474 Loss_D_fake 0.015354
[170/5000][190/535][17210] Loss_D: -0.037004 Loss_G: 0.015033 Loss_D_real: -0.021752 Loss_D_fake 0.015251
[170/5000][195/535][17211] Loss_D: -0.038787 Loss_G: 0.037032 Loss_D_real: -0.036009 Loss_D_fake 0.002779
[170/5000][200/535][17212] Loss_D: -0.038205 Loss_G: 0.035506 Loss_D_real: -0.035716 Loss_D_fake 0.002489
[170/5000][205/535][17213] Loss_D: -0.040344 Loss_G: 0.004432 Loss_D_real: -0.015849 Loss_D_fake 0.024495
[170/5000][210/535][17214] Loss_D: -0.037558 Loss_G: 0.038591 Loss_D_real: -0.034961 Loss_D_fake 0.002598
[170/5000][215/535][17215] Loss_D: -0.038848 Loss_G: 0.015549 Loss_D_real: -0.021594 Loss_D_fake 0.017254
[170/5000][220/535][17216] Loss_D: -0.038760 Loss_G: 0.023460 Loss_D_real: -0.023324 Loss_D_fake 0.015436
[170/5000][225/535][17217] Loss_D: -0.037775 Loss_G: 0.043099 Loss_D_real: -0.041944 Loss_D_fake -0.004168
[170/5000][230/535][17218] Loss_D: -0.038914 Loss_G: -0.007235 Loss_D_real: -0.003963 Loss_D_fake 0.034951
[170/5000][235/535][17219] Loss_D: -0.037345 Loss_G: 0.025863 Loss_D_real: -0.023645 Loss_D_fake 0.013700
[170/5000][240/535][17220] Loss_D: -0.039117 Loss_G: 0.025276 Loss_D_real: -0.018692 Loss_D_fake 0.020425
[170/5000][245/535][17221] Loss_D: -0.038254 Loss_G: -0.003162 Loss_D_real: -0.010363 Loss_D_fake 0.027892
[170/5000][250/535][17222] Loss_D: -0.036711 Loss_G: 0.041127 Loss_D_real: -0.040215 Loss_D_fake -0.003504
[170/5000][255/535][17223] Loss_D: -0.037604 Loss_G: 0.009373 Loss_D_real: -0.016322 Loss_D_fake 0.021282
[170/5000][260/535][17224] Loss_D: -0.038311 Loss_G: 0.017842 Loss_D_real: -0.018962 Loss_D_fake 0.019348
[170/5000][265/535][17225] Loss_D: -0.039736 Loss_G: 0.027568 Loss_D_real: -0.025520 Loss_D_fake 0.014216
[170/5000][270/535][17226] Loss_D: -0.038475 Loss_G: -0.009621 Loss_D_real: 0.003961 Loss_D_fake 0.042437
[170/5000][275/535][17227] Loss_D: -0.036617 Loss_G: 0.013468 Loss_D_real: -0.022986 Loss_D_fake 0.013631
[170/5000][280/535][17228] Loss_D: -0.038389 Loss_G: 0.027819 Loss_D_real: -0.019003 Loss_D_fake 0.019386
[170/5000][285/535][17229] Loss_D: -0.036743 Loss_G: -0.004769 Loss_D_real: -0.007641 Loss_D_fake 0.029102
[170/5000][290/535][17230] Loss_D: -0.037639 Loss_G: 0.012062 Loss_D_real: -0.022429 Loss_D_fake 0.015210
[170/5000][295/535][17231] Loss_D: -0.037136 Loss_G: 0.018921 Loss_D_real: -0.027161 Loss_D_fake 0.009975
[170/5000][300/535][17232] Loss_D: -0.040153 Loss_G: 0.016487 Loss_D_real: -0.017911 Loss_D_fake 0.022242
[170/5000][305/535][17233] Loss_D: -0.039417 Loss_G: 0.041319 Loss_D_real: -0.033707 Loss_D_fake 0.005710
[170/5000][310/535][17234] Loss_D: -0.038524 Loss_G: 0.001606 Loss_D_real: -0.013039 Loss_D_fake 0.025485
[170/5000][315/535][17235] Loss_D: -0.038409 Loss_G: 0.039714 Loss_D_real: -0.033545 Loss_D_fake 0.004863
[170/5000][320/535][17236] Loss_D: -0.040452 Loss_G: -0.004107 Loss_D_real: -0.006168 Loss_D_fake 0.034284
[170/5000][325/535][17237] Loss_D: -0.038564 Loss_G: 0.038634 Loss_D_real: -0.034231 Loss_D_fake 0.004333
[170/5000][330/535][17238] Loss_D: -0.039154 Loss_G: 0.011746 Loss_D_real: -0.017681 Loss_D_fake 0.021473
[170/5000][335/535][17239] Loss_D: -0.040235 Loss_G: 0.029876 Loss_D_real: -0.027441 Loss_D_fake 0.012794
[170/5000][340/535][17240] Loss_D: -0.038651 Loss_G: 0.014203 Loss_D_real: -0.021171 Loss_D_fake 0.017480
[170/5000][345/535][17241] Loss_D: -0.039460 Loss_G: 0.041161 Loss_D_real: -0.032146 Loss_D_fake 0.007314
[170/5000][350/535][17242] Loss_D: -0.038361 Loss_G: -0.010810 Loss_D_real: -0.007536 Loss_D_fake 0.030825
[170/5000][355/535][17243] Loss_D: -0.036563 Loss_G: 0.039648 Loss_D_real: -0.033542 Loss_D_fake 0.003021
[170/5000][360/535][17244] Loss_D: -0.038329 Loss_G: -0.006818 Loss_D_real: -0.006350 Loss_D_fake 0.031979
[170/5000][365/535][17245] Loss_D: -0.037154 Loss_G: 0.028466 Loss_D_real: -0.027555 Loss_D_fake 0.009599
[170/5000][370/535][17246] Loss_D: -0.037402 Loss_G: 0.020474 Loss_D_real: -0.027891 Loss_D_fake 0.009511
[170/5000][375/535][17247] Loss_D: -0.039021 Loss_G: 0.034215 Loss_D_real: -0.027227 Loss_D_fake 0.011794
[170/5000][380/535][17248] Loss_D: -0.038272 Loss_G: 0.010685 Loss_D_real: -0.013093 Loss_D_fake 0.025179
[170/5000][385/535][17249] Loss_D: -0.039746 Loss_G: 0.031264 Loss_D_real: -0.031519 Loss_D_fake 0.008226
[170/5000][390/535][17250] Loss_D: -0.038213 Loss_G: 0.015028 Loss_D_real: -0.013263 Loss_D_fake 0.024950
[170/5000][395/535][17251] Loss_D: -0.038149 Loss_G: 0.030544 Loss_D_real: -0.032122 Loss_D_fake 0.006027
[170/5000][400/535][17252] Loss_D: -0.036033 Loss_G: 0.035951 Loss_D_real: -0.032653 Loss_D_fake 0.003380
[170/5000][405/535][17253] Loss_D: -0.036110 Loss_G: 0.006006 Loss_D_real: -0.010425 Loss_D_fake 0.025684
[170/5000][410/535][17254] Loss_D: -0.038088 Loss_G: 0.033019 Loss_D_real: -0.036350 Loss_D_fake 0.001738
[170/5000][415/535][17255] Loss_D: -0.039411 Loss_G: 0.031375 Loss_D_real: -0.027290 Loss_D_fake 0.012122
[170/5000][420/535][17256] Loss_D: -0.037787 Loss_G: -0.000269 Loss_D_real: -0.014356 Loss_D_fake 0.023431
[170/5000][425/535][17257] Loss_D: -0.034837 Loss_G: 0.043893 Loss_D_real: -0.038843 Loss_D_fake -0.004006
[170/5000][430/535][17258] Loss_D: -0.036355 Loss_G: -0.003753 Loss_D_real: -0.004476 Loss_D_fake 0.031879
[170/5000][435/535][17259] Loss_D: -0.037450 Loss_G: 0.033527 Loss_D_real: -0.035497 Loss_D_fake 0.001952
[170/5000][440/535][17260] Loss_D: -0.037499 Loss_G: 0.001061 Loss_D_real: -0.005038 Loss_D_fake 0.032461
[170/5000][445/535][17261] Loss_D: -0.036633 Loss_G: 0.029177 Loss_D_real: -0.031991 Loss_D_fake 0.004641
[170/5000][450/535][17262] Loss_D: -0.038105 Loss_G: 0.003396 Loss_D_real: -0.005073 Loss_D_fake 0.033032
[170/5000][455/535][17263] Loss_D: -0.037566 Loss_G: 0.032331 Loss_D_real: -0.037686 Loss_D_fake -0.000120
[170/5000][460/535][17264] Loss_D: -0.036814 Loss_G: 0.027353 Loss_D_real: -0.029494 Loss_D_fake 0.007320
[170/5000][465/535][17265] Loss_D: -0.039232 Loss_G: 0.034842 Loss_D_real: -0.027732 Loss_D_fake 0.011500
[170/5000][470/535][17266] Loss_D: -0.038899 Loss_G: 0.022880 Loss_D_real: -0.030329 Loss_D_fake 0.008570
[170/5000][475/535][17267] Loss_D: -0.038136 Loss_G: 0.016006 Loss_D_real: -0.014809 Loss_D_fake 0.023327
[170/5000][480/535][17268] Loss_D: -0.037125 Loss_G: 0.052462 Loss_D_real: -0.050371 Loss_D_fake -0.013246
[170/5000][485/535][17269] Loss_D: -0.038398 Loss_G: 0.003114 Loss_D_real: -0.011211 Loss_D_fake 0.027187
[170/5000][490/535][17270] Loss_D: -0.035480 Loss_G: 0.032764 Loss_D_real: -0.027414 Loss_D_fake 0.008065
[170/5000][495/535][17271] Loss_D: -0.039047 Loss_G: 0.007828 Loss_D_real: -0.015010 Loss_D_fake 0.024036
[170/5000][500/535][17272] Loss_D: -0.036398 Loss_G: 0.026825 Loss_D_real: -0.030485 Loss_D_fake 0.005914
[170/5000][505/535][17273] Loss_D: -0.036672 Loss_G: 0.010667 Loss_D_real: -0.009550 Loss_D_fake 0.027123
[170/5000][510/535][17274] Loss_D: -0.038475 Loss_G: 0.021430 Loss_D_real: -0.022360 Loss_D_fake 0.016115
[170/5000][515/535][17275] Loss_D: -0.035749 Loss_G: 0.040495 Loss_D_real: -0.033146 Loss_D_fake 0.002603
[170/5000][520/535][17276] Loss_D: -0.037818 Loss_G: -0.002423 Loss_D_real: -0.005207 Loss_D_fake 0.032611
[170/5000][525/535][17277] Loss_D: -0.037885 Loss_G: 0.031474 Loss_D_real: -0.039929 Loss_D_fake -0.002044
[170/5000][530/535][17278] Loss_D: -0.040149 Loss_G: 0.038263 Loss_D_real: -0.031669 Loss_D_fake 0.008480
[170/5000][535/535][17279] Loss_D: -0.037050 Loss_G: 0.047415 Loss_D_real: -0.025690 Loss_D_fake 0.011360
[171/5000][5/535][17280] Loss_D: -0.039014 Loss_G: 0.001150 Loss_D_real: -0.010785 Loss_D_fake 0.028229
[171/5000][10/535][17281] Loss_D: -0.037076 Loss_G: 0.043406 Loss_D_real: -0.041690 Loss_D_fake -0.004614
[171/5000][15/535][17282] Loss_D: -0.037369 Loss_G: -0.011586 Loss_D_real: 0.000154 Loss_D_fake 0.037524
[171/5000][20/535][17283] Loss_D: -0.037731 Loss_G: 0.011591 Loss_D_real: -0.014395 Loss_D_fake 0.023336
[171/5000][25/535][17284] Loss_D: -0.037806 Loss_G: 0.007548 Loss_D_real: -0.021424 Loss_D_fake 0.016383
[171/5000][30/535][17285] Loss_D: -0.035656 Loss_G: 0.042367 Loss_D_real: -0.039255 Loss_D_fake -0.003599
[171/5000][35/535][17286] Loss_D: -0.037666 Loss_G: 0.012473 Loss_D_real: -0.012319 Loss_D_fake 0.025346
[171/5000][40/535][17287] Loss_D: -0.038695 Loss_G: 0.041430 Loss_D_real: -0.036791 Loss_D_fake 0.001904
[171/5000][45/535][17288] Loss_D: -0.037767 Loss_G: 0.015662 Loss_D_real: -0.019102 Loss_D_fake 0.018665
[171/5000][50/535][17289] Loss_D: -0.036535 Loss_G: 0.030026 Loss_D_real: -0.041060 Loss_D_fake -0.004525
[171/5000][55/535][17290] Loss_D: -0.039343 Loss_G: 0.037209 Loss_D_real: -0.030277 Loss_D_fake 0.009066
[171/5000][60/535][17291] Loss_D: -0.039581 Loss_G: 0.022237 Loss_D_real: -0.024747 Loss_D_fake 0.014834
[171/5000][65/535][17292] Loss_D: -0.037826 Loss_G: 0.048075 Loss_D_real: -0.037056 Loss_D_fake 0.000770
[171/5000][70/535][17293] Loss_D: -0.037709 Loss_G: -0.005463 Loss_D_real: -0.007537 Loss_D_fake 0.030172
[171/5000][75/535][17294] Loss_D: -0.036721 Loss_G: 0.012287 Loss_D_real: -0.018558 Loss_D_fake 0.018163
[171/5000][80/535][17295] Loss_D: -0.037838 Loss_G: 0.006350 Loss_D_real: -0.016389 Loss_D_fake 0.021449
[171/5000][85/535][17296] Loss_D: -0.037657 Loss_G: 0.029942 Loss_D_real: -0.021153 Loss_D_fake 0.016504
[171/5000][90/535][17297] Loss_D: -0.037097 Loss_G: -0.009522 Loss_D_real: 0.002498 Loss_D_fake 0.039595
[171/5000][95/535][17298] Loss_D: -0.037015 Loss_G: 0.022882 Loss_D_real: -0.031346 Loss_D_fake 0.005670
[171/5000][100/535][17299] Loss_D: -0.037315 Loss_G: 0.005034 Loss_D_real: -0.010140 Loss_D_fake 0.027175
[171/5000][105/535][17300] Loss_D: -0.037722 Loss_G: 0.021215 Loss_D_real: -0.027520 Loss_D_fake 0.010202
[171/5000][110/535][17301] Loss_D: -0.038446 Loss_G: 0.005171 Loss_D_real: -0.015491 Loss_D_fake 0.022955
[171/5000][115/535][17302] Loss_D: -0.039172 Loss_G: 0.043427 Loss_D_real: -0.037582 Loss_D_fake 0.001590
[171/5000][120/535][17303] Loss_D: -0.038418 Loss_G: -0.000051 Loss_D_real: -0.009309 Loss_D_fake 0.029109
[171/5000][125/535][17304] Loss_D: -0.038714 Loss_G: 0.021129 Loss_D_real: -0.025696 Loss_D_fake 0.013018
[171/5000][130/535][17305] Loss_D: -0.038815 Loss_G: 0.046008 Loss_D_real: -0.045143 Loss_D_fake -0.006327
[171/5000][135/535][17306] Loss_D: -0.039530 Loss_G: 0.013815 Loss_D_real: -0.020234 Loss_D_fake 0.019296
[171/5000][140/535][17307] Loss_D: -0.038541 Loss_G: 0.023959 Loss_D_real: -0.032016 Loss_D_fake 0.006525
[171/5000][145/535][17308] Loss_D: -0.039302 Loss_G: 0.021896 Loss_D_real: -0.015513 Loss_D_fake 0.023789
[171/5000][150/535][17309] Loss_D: -0.037990 Loss_G: 0.037197 Loss_D_real: -0.032182 Loss_D_fake 0.005808
[171/5000][155/535][17310] Loss_D: -0.038675 Loss_G: 0.029273 Loss_D_real: -0.024962 Loss_D_fake 0.013713
[171/5000][160/535][17311] Loss_D: -0.036067 Loss_G: -0.008524 Loss_D_real: 0.006376 Loss_D_fake 0.042443
[171/5000][165/535][17312] Loss_D: -0.036433 Loss_G: 0.012562 Loss_D_real: -0.021418 Loss_D_fake 0.015015
[171/5000][170/535][17313] Loss_D: -0.039225 Loss_G: 0.027596 Loss_D_real: -0.033858 Loss_D_fake 0.005367
[171/5000][175/535][17314] Loss_D: -0.039278 Loss_G: 0.035763 Loss_D_real: -0.037626 Loss_D_fake 0.001652
[171/5000][180/535][17315] Loss_D: -0.040779 Loss_G: 0.010613 Loss_D_real: -0.020129 Loss_D_fake 0.020650
[171/5000][185/535][17316] Loss_D: -0.039094 Loss_G: 0.016386 Loss_D_real: -0.018645 Loss_D_fake 0.020449
[171/5000][190/535][17317] Loss_D: -0.037495 Loss_G: 0.041698 Loss_D_real: -0.038532 Loss_D_fake -0.001037
[171/5000][195/535][17318] Loss_D: -0.038929 Loss_G: -0.005717 Loss_D_real: -0.004895 Loss_D_fake 0.034034
[171/5000][200/535][17319] Loss_D: -0.036978 Loss_G: 0.036164 Loss_D_real: -0.026088 Loss_D_fake 0.010890
[171/5000][205/535][17320] Loss_D: -0.038941 Loss_G: 0.017417 Loss_D_real: -0.013570 Loss_D_fake 0.025371
[171/5000][210/535][17321] Loss_D: -0.037162 Loss_G: 0.015852 Loss_D_real: -0.017901 Loss_D_fake 0.019261
[171/5000][215/535][17322] Loss_D: -0.036311 Loss_G: 0.028252 Loss_D_real: -0.030792 Loss_D_fake 0.005520
[171/5000][220/535][17323] Loss_D: -0.035894 Loss_G: 0.018002 Loss_D_real: -0.018143 Loss_D_fake 0.017752
[171/5000][225/535][17324] Loss_D: -0.038352 Loss_G: 0.012211 Loss_D_real: -0.015399 Loss_D_fake 0.022954
[171/5000][230/535][17325] Loss_D: -0.037876 Loss_G: 0.024305 Loss_D_real: -0.023178 Loss_D_fake 0.014698
[171/5000][235/535][17326] Loss_D: -0.038164 Loss_G: 0.039714 Loss_D_real: -0.032241 Loss_D_fake 0.005923
[171/5000][240/535][17327] Loss_D: -0.038516 Loss_G: 0.017598 Loss_D_real: -0.016942 Loss_D_fake 0.021574
[171/5000][245/535][17328] Loss_D: -0.040120 Loss_G: 0.026770 Loss_D_real: -0.032295 Loss_D_fake 0.007825
[171/5000][250/535][17329] Loss_D: -0.038758 Loss_G: 0.049329 Loss_D_real: -0.045204 Loss_D_fake -0.006446
[171/5000][255/535][17330] Loss_D: -0.038243 Loss_G: -0.002663 Loss_D_real: -0.008791 Loss_D_fake 0.029452
[171/5000][260/535][17331] Loss_D: -0.038734 Loss_G: 0.034906 Loss_D_real: -0.034721 Loss_D_fake 0.004013
[171/5000][265/535][17332] Loss_D: -0.037617 Loss_G: 0.009857 Loss_D_real: -0.015572 Loss_D_fake 0.022045
[171/5000][270/535][17333] Loss_D: -0.036575 Loss_G: 0.044903 Loss_D_real: -0.050262 Loss_D_fake -0.013687
[171/5000][275/535][17334] Loss_D: -0.037599 Loss_G: 0.033545 Loss_D_real: -0.033515 Loss_D_fake 0.004084
[171/5000][280/535][17335] Loss_D: -0.039539 Loss_G: 0.007474 Loss_D_real: -0.013583 Loss_D_fake 0.025956
[171/5000][285/535][17336] Loss_D: -0.038438 Loss_G: 0.020273 Loss_D_real: -0.026557 Loss_D_fake 0.011881
[171/5000][290/535][17337] Loss_D: -0.038323 Loss_G: 0.011461 Loss_D_real: -0.017118 Loss_D_fake 0.021205
[171/5000][295/535][17338] Loss_D: -0.037838 Loss_G: 0.023622 Loss_D_real: -0.027770 Loss_D_fake 0.010068
[171/5000][300/535][17339] Loss_D: -0.037568 Loss_G: 0.005622 Loss_D_real: -0.007081 Loss_D_fake 0.030487
[171/5000][305/535][17340] Loss_D: -0.037032 Loss_G: 0.037976 Loss_D_real: -0.032739 Loss_D_fake 0.004293
[171/5000][310/535][17341] Loss_D: -0.037669 Loss_G: 0.022187 Loss_D_real: -0.028674 Loss_D_fake 0.008995
[171/5000][315/535][17342] Loss_D: -0.036565 Loss_G: 0.041744 Loss_D_real: -0.043077 Loss_D_fake -0.006512
[171/5000][320/535][17343] Loss_D: -0.039973 Loss_G: 0.011196 Loss_D_real: -0.011639 Loss_D_fake 0.028333
[171/5000][325/535][17344] Loss_D: -0.036625 Loss_G: 0.028051 Loss_D_real: -0.033305 Loss_D_fake 0.003320
[171/5000][330/535][17345] Loss_D: -0.038015 Loss_G: 0.030731 Loss_D_real: -0.032403 Loss_D_fake 0.005612
[171/5000][335/535][17346] Loss_D: -0.038124 Loss_G: 0.013596 Loss_D_real: -0.021325 Loss_D_fake 0.016799
[171/5000][340/535][17347] Loss_D: -0.039112 Loss_G: -0.006676 Loss_D_real: -0.004250 Loss_D_fake 0.034862
[171/5000][345/535][17348] Loss_D: -0.039082 Loss_G: 0.035316 Loss_D_real: -0.034898 Loss_D_fake 0.004184
[171/5000][350/535][17349] Loss_D: -0.038876 Loss_G: -0.010884 Loss_D_real: -0.009131 Loss_D_fake 0.029745
[171/5000][355/535][17350] Loss_D: -0.036455 Loss_G: 0.033004 Loss_D_real: -0.037990 Loss_D_fake -0.001536
[171/5000][360/535][17351] Loss_D: -0.037567 Loss_G: -0.005001 Loss_D_real: -0.005079 Loss_D_fake 0.032488
[171/5000][365/535][17352] Loss_D: -0.038176 Loss_G: 0.025009 Loss_D_real: -0.029986 Loss_D_fake 0.008191
[171/5000][370/535][17353] Loss_D: -0.038949 Loss_G: 0.015385 Loss_D_real: -0.024905 Loss_D_fake 0.014045
[171/5000][375/535][17354] Loss_D: -0.039332 Loss_G: 0.018249 Loss_D_real: -0.018209 Loss_D_fake 0.021123
[171/5000][380/535][17355] Loss_D: -0.038733 Loss_G: 0.032664 Loss_D_real: -0.031189 Loss_D_fake 0.007544
[171/5000][385/535][17356] Loss_D: -0.037021 Loss_G: -0.009203 Loss_D_real: -0.007781 Loss_D_fake 0.029240
[171/5000][390/535][17357] Loss_D: -0.039444 Loss_G: 0.035205 Loss_D_real: -0.032997 Loss_D_fake 0.006447
[171/5000][395/535][17358] Loss_D: -0.036859 Loss_G: 0.018612 Loss_D_real: -0.021987 Loss_D_fake 0.014872
[171/5000][400/535][17359] Loss_D: -0.038300 Loss_G: 0.005438 Loss_D_real: -0.012545 Loss_D_fake 0.025755
[171/5000][405/535][17360] Loss_D: -0.038102 Loss_G: 0.028519 Loss_D_real: -0.030552 Loss_D_fake 0.007549
[171/5000][410/535][17361] Loss_D: -0.040800 Loss_G: 0.032596 Loss_D_real: -0.029964 Loss_D_fake 0.010835
[171/5000][415/535][17362] Loss_D: -0.038233 Loss_G: 0.003920 Loss_D_real: -0.014440 Loss_D_fake 0.023793
[171/5000][420/535][17363] Loss_D: -0.038460 Loss_G: 0.014234 Loss_D_real: -0.018461 Loss_D_fake 0.019999
[171/5000][425/535][17364] Loss_D: -0.037175 Loss_G: 0.001287 Loss_D_real: -0.010959 Loss_D_fake 0.026216
[171/5000][430/535][17365] Loss_D: -0.036811 Loss_G: 0.033183 Loss_D_real: -0.034566 Loss_D_fake 0.002245
[171/5000][435/535][17366] Loss_D: -0.037961 Loss_G: 0.000538 Loss_D_real: -0.012904 Loss_D_fake 0.025057
[171/5000][440/535][17367] Loss_D: -0.038246 Loss_G: 0.031525 Loss_D_real: -0.033823 Loss_D_fake 0.004423
[171/5000][445/535][17368] Loss_D: -0.038546 Loss_G: 0.005678 Loss_D_real: -0.015634 Loss_D_fake 0.022912
[171/5000][450/535][17369] Loss_D: -0.037686 Loss_G: 0.041716 Loss_D_real: -0.036890 Loss_D_fake 0.000796
[171/5000][455/535][17370] Loss_D: -0.036135 Loss_G: 0.041950 Loss_D_real: -0.046012 Loss_D_fake -0.009876
[171/5000][460/535][17371] Loss_D: -0.038410 Loss_G: -0.002197 Loss_D_real: -0.002336 Loss_D_fake 0.036074
[171/5000][465/535][17372] Loss_D: -0.036543 Loss_G: 0.035767 Loss_D_real: -0.040270 Loss_D_fake -0.003727
[171/5000][470/535][17373] Loss_D: -0.037778 Loss_G: 0.043899 Loss_D_real: -0.034992 Loss_D_fake 0.002786
[171/5000][475/535][17374] Loss_D: -0.039742 Loss_G: 0.023418 Loss_D_real: -0.032914 Loss_D_fake 0.006828
[171/5000][480/535][17375] Loss_D: -0.039065 Loss_G: 0.022291 Loss_D_real: -0.022004 Loss_D_fake 0.017060
[171/5000][485/535][17376] Loss_D: -0.039162 Loss_G: 0.044645 Loss_D_real: -0.040447 Loss_D_fake -0.001285
[171/5000][490/535][17377] Loss_D: -0.037428 Loss_G: -0.014558 Loss_D_real: 0.004044 Loss_D_fake 0.041471
[171/5000][495/535][17378] Loss_D: -0.034057 Loss_G: 0.036083 Loss_D_real: -0.036025 Loss_D_fake -0.001968
[171/5000][500/535][17379] Loss_D: -0.037411 Loss_G: 0.019498 Loss_D_real: -0.022274 Loss_D_fake 0.015136
[171/5000][505/535][17380] Loss_D: -0.039088 Loss_G: 0.014678 Loss_D_real: -0.019247 Loss_D_fake 0.019840
[171/5000][510/535][17381] Loss_D: -0.039687 Loss_G: -0.006447 Loss_D_real: -0.010603 Loss_D_fake 0.029084
[171/5000][515/535][17382] Loss_D: -0.038754 Loss_G: 0.018819 Loss_D_real: -0.027041 Loss_D_fake 0.011713
[171/5000][520/535][17383] Loss_D: -0.038101 Loss_G: -0.003342 Loss_D_real: -0.009568 Loss_D_fake 0.028533
[171/5000][525/535][17384] Loss_D: -0.036350 Loss_G: 0.033933 Loss_D_real: -0.037709 Loss_D_fake -0.001358
[171/5000][530/535][17385] Loss_D: -0.037386 Loss_G: 0.011418 Loss_D_real: -0.007481 Loss_D_fake 0.029906
[171/5000][535/535][17386] Loss_D: -0.036728 Loss_G: 0.033395 Loss_D_real: -0.027078 Loss_D_fake 0.009650
[172/5000][5/535][17387] Loss_D: -0.036168 Loss_G: -0.007007 Loss_D_real: -0.001709 Loss_D_fake 0.034459
[172/5000][10/535][17388] Loss_D: -0.038758 Loss_G: 0.028676 Loss_D_real: -0.026884 Loss_D_fake 0.011875
[172/5000][15/535][17389] Loss_D: -0.037758 Loss_G: 0.010389 Loss_D_real: -0.018467 Loss_D_fake 0.019291
[172/5000][20/535][17390] Loss_D: -0.039310 Loss_G: 0.015215 Loss_D_real: -0.021376 Loss_D_fake 0.017934
[172/5000][25/535][17391] Loss_D: -0.035658 Loss_G: -0.001379 Loss_D_real: -0.006987 Loss_D_fake 0.028671
[172/5000][30/535][17392] Loss_D: -0.038076 Loss_G: 0.024075 Loss_D_real: -0.029752 Loss_D_fake 0.008324
[172/5000][35/535][17393] Loss_D: -0.036229 Loss_G: -0.000920 Loss_D_real: -0.009351 Loss_D_fake 0.026878
[172/5000][40/535][17394] Loss_D: -0.036223 Loss_G: 0.035587 Loss_D_real: -0.034280 Loss_D_fake 0.001943
[172/5000][45/535][17395] Loss_D: -0.036903 Loss_G: 0.027628 Loss_D_real: -0.028581 Loss_D_fake 0.008321
[172/5000][50/535][17396] Loss_D: -0.038270 Loss_G: -0.015873 Loss_D_real: -0.002957 Loss_D_fake 0.035314
[172/5000][55/535][17397] Loss_D: -0.037325 Loss_G: 0.020416 Loss_D_real: -0.030811 Loss_D_fake 0.006514
[172/5000][60/535][17398] Loss_D: -0.037740 Loss_G: 0.014600 Loss_D_real: -0.020776 Loss_D_fake 0.016964
[172/5000][65/535][17399] Loss_D: -0.038546 Loss_G: 0.020085 Loss_D_real: -0.022907 Loss_D_fake 0.015639
[172/5000][70/535][17400] Loss_D: -0.038726 Loss_G: 0.022375 Loss_D_real: -0.026972 Loss_D_fake 0.011754
[172/5000][75/535][17401] Loss_D: -0.039668 Loss_G: 0.029997 Loss_D_real: -0.029861 Loss_D_fake 0.009807
[172/5000][80/535][17402] Loss_D: -0.039732 Loss_G: 0.016952 Loss_D_real: -0.023922 Loss_D_fake 0.015810
[172/5000][85/535][17403] Loss_D: -0.038129 Loss_G: 0.029680 Loss_D_real: -0.022050 Loss_D_fake 0.016079
[172/5000][90/535][17404] Loss_D: -0.036796 Loss_G: -0.016716 Loss_D_real: 0.002287 Loss_D_fake 0.039082
[172/5000][95/535][17405] Loss_D: -0.035077 Loss_G: 0.035235 Loss_D_real: -0.043521 Loss_D_fake -0.008444
[172/5000][100/535][17406] Loss_D: -0.037530 Loss_G: 0.008404 Loss_D_real: -0.021268 Loss_D_fake 0.016261
[172/5000][105/535][17407] Loss_D: -0.037504 Loss_G: 0.012183 Loss_D_real: -0.018929 Loss_D_fake 0.018575
[172/5000][110/535][17408] Loss_D: -0.038383 Loss_G: 0.021831 Loss_D_real: -0.024071 Loss_D_fake 0.014312
[172/5000][115/535][17409] Loss_D: -0.040084 Loss_G: 0.013268 Loss_D_real: -0.022062 Loss_D_fake 0.018022
[172/5000][120/535][17410] Loss_D: -0.037838 Loss_G: 0.039364 Loss_D_real: -0.040089 Loss_D_fake -0.002250
[172/5000][125/535][17411] Loss_D: -0.040374 Loss_G: 0.008463 Loss_D_real: -0.017319 Loss_D_fake 0.023056
[172/5000][130/535][17412] Loss_D: -0.039271 Loss_G: 0.030653 Loss_D_real: -0.032983 Loss_D_fake 0.006288
[172/5000][135/535][17413] Loss_D: -0.041851 Loss_G: 0.004037 Loss_D_real: -0.014977 Loss_D_fake 0.026874
[172/5000][140/535][17414] Loss_D: -0.038360 Loss_G: 0.043821 Loss_D_real: -0.044145 Loss_D_fake -0.005786
[172/5000][145/535][17415] Loss_D: -0.037288 Loss_G: -0.012820 Loss_D_real: 0.007587 Loss_D_fake 0.044875
[172/5000][150/535][17416] Loss_D: -0.037696 Loss_G: 0.033313 Loss_D_real: -0.036980 Loss_D_fake 0.000716
[172/5000][155/535][17417] Loss_D: -0.038855 Loss_G: 0.015119 Loss_D_real: -0.026582 Loss_D_fake 0.012273
[172/5000][160/535][17418] Loss_D: -0.040822 Loss_G: 0.003646 Loss_D_real: -0.012712 Loss_D_fake 0.028110
[172/5000][165/535][17419] Loss_D: -0.036478 Loss_G: 0.050544 Loss_D_real: -0.048580 Loss_D_fake -0.012102
[172/5000][170/535][17420] Loss_D: -0.037270 Loss_G: 0.017530 Loss_D_real: -0.017809 Loss_D_fake 0.019461
[172/5000][175/535][17421] Loss_D: -0.039329 Loss_G: 0.022241 Loss_D_real: -0.020873 Loss_D_fake 0.018456
[172/5000][180/535][17422] Loss_D: -0.040436 Loss_G: 0.034990 Loss_D_real: -0.036204 Loss_D_fake 0.004232
[172/5000][185/535][17423] Loss_D: -0.040998 Loss_G: 0.025523 Loss_D_real: -0.030819 Loss_D_fake 0.010179
[172/5000][190/535][17424] Loss_D: -0.039433 Loss_G: 0.026750 Loss_D_real: -0.028324 Loss_D_fake 0.011110
[172/5000][195/535][17425] Loss_D: -0.037557 Loss_G: -0.006271 Loss_D_real: -0.004303 Loss_D_fake 0.033254
[172/5000][200/535][17426] Loss_D: -0.037688 Loss_G: 0.021961 Loss_D_real: -0.034462 Loss_D_fake 0.003226
[172/5000][205/535][17427] Loss_D: -0.039490 Loss_G: 0.035292 Loss_D_real: -0.035937 Loss_D_fake 0.003553
[172/5000][210/535][17428] Loss_D: -0.038482 Loss_G: -0.009571 Loss_D_real: -0.009731 Loss_D_fake 0.028750
[172/5000][215/535][17429] Loss_D: -0.039221 Loss_G: -0.001029 Loss_D_real: -0.016282 Loss_D_fake 0.022938
[172/5000][220/535][17430] Loss_D: -0.037316 Loss_G: 0.016035 Loss_D_real: -0.028913 Loss_D_fake 0.008403
[172/5000][225/535][17431] Loss_D: -0.038479 Loss_G: 0.007937 Loss_D_real: -0.018985 Loss_D_fake 0.019494
[172/5000][230/535][17432] Loss_D: -0.038559 Loss_G: 0.035063 Loss_D_real: -0.037842 Loss_D_fake 0.000717
[172/5000][235/535][17433] Loss_D: -0.038836 Loss_G: 0.009589 Loss_D_real: -0.020374 Loss_D_fake 0.018462
[172/5000][240/535][17434] Loss_D: -0.039462 Loss_G: 0.037940 Loss_D_real: -0.036345 Loss_D_fake 0.003117
[172/5000][245/535][17435] Loss_D: -0.034970 Loss_G: -0.020602 Loss_D_real: 0.002248 Loss_D_fake 0.037218
[172/5000][250/535][17436] Loss_D: -0.036246 Loss_G: 0.027593 Loss_D_real: -0.029267 Loss_D_fake 0.006979
[172/5000][255/535][17437] Loss_D: -0.036422 Loss_G: 0.018977 Loss_D_real: -0.028417 Loss_D_fake 0.008005
[172/5000][260/535][17438] Loss_D: -0.037796 Loss_G: 0.019041 Loss_D_real: -0.024309 Loss_D_fake 0.013487
[172/5000][265/535][17439] Loss_D: -0.038754 Loss_G: 0.025276 Loss_D_real: -0.031447 Loss_D_fake 0.007307
[172/5000][270/535][17440] Loss_D: -0.038045 Loss_G: 0.010406 Loss_D_real: -0.022660 Loss_D_fake 0.015385
[172/5000][275/535][17441] Loss_D: -0.038240 Loss_G: 0.040053 Loss_D_real: -0.043957 Loss_D_fake -0.005716
[172/5000][280/535][17442] Loss_D: -0.037237 Loss_G: 0.020018 Loss_D_real: -0.014057 Loss_D_fake 0.023180
[172/5000][285/535][17443] Loss_D: -0.038019 Loss_G: -0.002261 Loss_D_real: -0.012099 Loss_D_fake 0.025920
[172/5000][290/535][17444] Loss_D: -0.037851 Loss_G: 0.028058 Loss_D_real: -0.037608 Loss_D_fake 0.000243
[172/5000][295/535][17445] Loss_D: -0.038054 Loss_G: -0.009969 Loss_D_real: -0.009438 Loss_D_fake 0.028616
[172/5000][300/535][17446] Loss_D: -0.038071 Loss_G: 0.030408 Loss_D_real: -0.036652 Loss_D_fake 0.001420
[172/5000][305/535][17447] Loss_D: -0.037160 Loss_G: -0.004182 Loss_D_real: -0.010026 Loss_D_fake 0.027134
[172/5000][310/535][17448] Loss_D: -0.039232 Loss_G: 0.022090 Loss_D_real: -0.032258 Loss_D_fake 0.006975
[172/5000][315/535][17449] Loss_D: -0.038496 Loss_G: 0.013812 Loss_D_real: -0.016631 Loss_D_fake 0.021865
[172/5000][320/535][17450] Loss_D: -0.038958 Loss_G: 0.023785 Loss_D_real: -0.032408 Loss_D_fake 0.006550
[172/5000][325/535][17451] Loss_D: -0.036180 Loss_G: 0.026383 Loss_D_real: -0.033288 Loss_D_fake 0.002892
[172/5000][330/535][17452] Loss_D: -0.039868 Loss_G: 0.007769 Loss_D_real: -0.017387 Loss_D_fake 0.022481
[172/5000][335/535][17453] Loss_D: -0.036253 Loss_G: 0.043678 Loss_D_real: -0.048291 Loss_D_fake -0.012038
[172/5000][340/535][17454] Loss_D: -0.035903 Loss_G: -0.012015 Loss_D_real: -0.011162 Loss_D_fake 0.024741
[172/5000][345/535][17455] Loss_D: -0.037851 Loss_G: 0.027508 Loss_D_real: -0.023849 Loss_D_fake 0.014002
[172/5000][350/535][17456] Loss_D: -0.038454 Loss_G: 0.010477 Loss_D_real: -0.020796 Loss_D_fake 0.017658
[172/5000][355/535][17457] Loss_D: -0.039128 Loss_G: 0.035090 Loss_D_real: -0.045069 Loss_D_fake -0.005941
[172/5000][360/535][17458] Loss_D: -0.036687 Loss_G: 0.024560 Loss_D_real: -0.037662 Loss_D_fake -0.000975
[172/5000][365/535][17459] Loss_D: -0.041451 Loss_G: 0.010049 Loss_D_real: -0.024359 Loss_D_fake 0.017092
[172/5000][370/535][17460] Loss_D: -0.038323 Loss_G: 0.036268 Loss_D_real: -0.043131 Loss_D_fake -0.004808
[172/5000][375/535][17461] Loss_D: -0.036849 Loss_G: -0.012544 Loss_D_real: -0.000063 Loss_D_fake 0.036786
[172/5000][380/535][17462] Loss_D: -0.036415 Loss_G: 0.036634 Loss_D_real: -0.042552 Loss_D_fake -0.006137
[172/5000][385/535][17463] Loss_D: -0.039064 Loss_G: 0.003544 Loss_D_real: -0.013352 Loss_D_fake 0.025713
[172/5000][390/535][17464] Loss_D: -0.038561 Loss_G: 0.029903 Loss_D_real: -0.033752 Loss_D_fake 0.004809
[172/5000][395/535][17465] Loss_D: -0.039237 Loss_G: 0.025128 Loss_D_real: -0.030246 Loss_D_fake 0.008990
[172/5000][400/535][17466] Loss_D: -0.037564 Loss_G: -0.001515 Loss_D_real: -0.011540 Loss_D_fake 0.026024
[172/5000][405/535][17467] Loss_D: -0.038114 Loss_G: 0.022775 Loss_D_real: -0.027651 Loss_D_fake 0.010463
[172/5000][410/535][17468] Loss_D: -0.038161 Loss_G: 0.026480 Loss_D_real: -0.032278 Loss_D_fake 0.005883
[172/5000][415/535][17469] Loss_D: -0.038673 Loss_G: -0.006480 Loss_D_real: -0.016064 Loss_D_fake 0.022609
[172/5000][420/535][17470] Loss_D: -0.036332 Loss_G: 0.038922 Loss_D_real: -0.042210 Loss_D_fake -0.005878
[172/5000][425/535][17471] Loss_D: -0.039021 Loss_G: 0.012683 Loss_D_real: -0.025146 Loss_D_fake 0.013875
[172/5000][430/535][17472] Loss_D: -0.038451 Loss_G: 0.033572 Loss_D_real: -0.040321 Loss_D_fake -0.001870
[172/5000][435/535][17473] Loss_D: -0.039107 Loss_G: -0.007475 Loss_D_real: -0.011693 Loss_D_fake 0.027414
[172/5000][440/535][17474] Loss_D: -0.038354 Loss_G: 0.023261 Loss_D_real: -0.026378 Loss_D_fake 0.011976
[172/5000][445/535][17475] Loss_D: -0.038781 Loss_G: 0.027252 Loss_D_real: -0.029599 Loss_D_fake 0.009182
[172/5000][450/535][17476] Loss_D: -0.039201 Loss_G: 0.013283 Loss_D_real: -0.029121 Loss_D_fake 0.010080
[172/5000][455/535][17477] Loss_D: -0.038105 Loss_G: 0.019416 Loss_D_real: -0.023392 Loss_D_fake 0.014713
[172/5000][460/535][17478] Loss_D: -0.039124 Loss_G: -0.003754 Loss_D_real: -0.014393 Loss_D_fake 0.024731
[172/5000][465/535][17479] Loss_D: -0.038807 Loss_G: 0.013343 Loss_D_real: -0.025404 Loss_D_fake 0.013403
[172/5000][470/535][17480] Loss_D: -0.039368 Loss_G: 0.020804 Loss_D_real: -0.024275 Loss_D_fake 0.015093
[172/5000][475/535][17481] Loss_D: -0.037156 Loss_G: 0.004444 Loss_D_real: -0.023444 Loss_D_fake 0.013712
[172/5000][480/535][17482] Loss_D: -0.037866 Loss_G: 0.026932 Loss_D_real: -0.037825 Loss_D_fake 0.000041
[172/5000][485/535][17483] Loss_D: -0.037666 Loss_G: 0.022444 Loss_D_real: -0.030159 Loss_D_fake 0.007508
[172/5000][490/535][17484] Loss_D: -0.038630 Loss_G: 0.009038 Loss_D_real: -0.020903 Loss_D_fake 0.017727
[172/5000][495/535][17485] Loss_D: -0.039790 Loss_G: 0.016608 Loss_D_real: -0.022613 Loss_D_fake 0.017177
[172/5000][500/535][17486] Loss_D: -0.035986 Loss_G: 0.038749 Loss_D_real: -0.038746 Loss_D_fake -0.002759
[172/5000][505/535][17487] Loss_D: -0.038083 Loss_G: 0.029611 Loss_D_real: -0.033763 Loss_D_fake 0.004320
[172/5000][510/535][17488] Loss_D: -0.037688 Loss_G: 0.023171 Loss_D_real: -0.031838 Loss_D_fake 0.005850
[172/5000][515/535][17489] Loss_D: -0.039033 Loss_G: 0.013898 Loss_D_real: -0.024412 Loss_D_fake 0.014620
[172/5000][520/535][17490] Loss_D: -0.036263 Loss_G: 0.045617 Loss_D_real: -0.043459 Loss_D_fake -0.007197
[172/5000][525/535][17491] Loss_D: -0.035545 Loss_G: -0.007537 Loss_D_real: -0.006379 Loss_D_fake 0.029166
[172/5000][530/535][17492] Loss_D: -0.036636 Loss_G: 0.032884 Loss_D_real: -0.040924 Loss_D_fake -0.004288
[172/5000][535/535][17493] Loss_D: -0.035681 Loss_G: -0.003160 Loss_D_real: -0.009420 Loss_D_fake 0.026262
[173/5000][5/535][17494] Loss_D: -0.038368 Loss_G: 0.018609 Loss_D_real: -0.029515 Loss_D_fake 0.008852
[173/5000][10/535][17495] Loss_D: -0.037822 Loss_G: 0.012865 Loss_D_real: -0.020457 Loss_D_fake 0.017364
[173/5000][15/535][17496] Loss_D: -0.038099 Loss_G: 0.043022 Loss_D_real: -0.036673 Loss_D_fake 0.001426
[173/5000][20/535][17497] Loss_D: -0.037540 Loss_G: 0.008574 Loss_D_real: -0.011192 Loss_D_fake 0.026348
[173/5000][25/535][17498] Loss_D: -0.039504 Loss_G: 0.034873 Loss_D_real: -0.035458 Loss_D_fake 0.004047
[173/5000][30/535][17499] Loss_D: -0.038930 Loss_G: 0.007266 Loss_D_real: -0.017841 Loss_D_fake 0.021090
[173/5000][35/535][17500] Loss_D: -0.039502 Loss_G: 0.016528 Loss_D_real: -0.032305 Loss_D_fake 0.007197
[173/5000][135/535][17501] Loss_D: -0.040680 Loss_G: 0.024056 Loss_D_real: -0.028227 Loss_D_fake 0.012453
[173/5000][140/535][17502] Loss_D: -0.039080 Loss_G: 0.015260 Loss_D_real: -0.015736 Loss_D_fake 0.023343
[173/5000][145/535][17503] Loss_D: -0.036116 Loss_G: 0.011866 Loss_D_real: -0.016474 Loss_D_fake 0.019642
[173/5000][150/535][17504] Loss_D: -0.039040 Loss_G: 0.037510 Loss_D_real: -0.042225 Loss_D_fake -0.003184
[173/5000][155/535][17505] Loss_D: -0.036725 Loss_G: -0.005559 Loss_D_real: -0.009810 Loss_D_fake 0.026915
[173/5000][160/535][17506] Loss_D: -0.037034 Loss_G: 0.040486 Loss_D_real: -0.044334 Loss_D_fake -0.007300
[173/5000][165/535][17507] Loss_D: -0.038808 Loss_G: 0.015735 Loss_D_real: -0.029324 Loss_D_fake 0.009484
[173/5000][170/535][17508] Loss_D: -0.038514 Loss_G: 0.032317 Loss_D_real: -0.030466 Loss_D_fake 0.008048
[173/5000][175/535][17509] Loss_D: -0.038352 Loss_G: 0.001098 Loss_D_real: -0.006486 Loss_D_fake 0.031866
[173/5000][180/535][17510] Loss_D: -0.039814 Loss_G: 0.021954 Loss_D_real: -0.025701 Loss_D_fake 0.014113
[173/5000][185/535][17511] Loss_D: -0.039578 Loss_G: 0.000789 Loss_D_real: -0.011912 Loss_D_fake 0.027665
[173/5000][190/535][17512] Loss_D: -0.037488 Loss_G: 0.033582 Loss_D_real: -0.032181 Loss_D_fake 0.005307
[173/5000][195/535][17513] Loss_D: -0.040972 Loss_G: 0.012205 Loss_D_real: -0.027999 Loss_D_fake 0.012972
[173/5000][200/535][17514] Loss_D: -0.038555 Loss_G: 0.008294 Loss_D_real: -0.018952 Loss_D_fake 0.019603
[173/5000][205/535][17515] Loss_D: -0.038932 Loss_G: 0.016125 Loss_D_real: -0.023377 Loss_D_fake 0.015555
[173/5000][210/535][17516] Loss_D: -0.038380 Loss_G: 0.023066 Loss_D_real: -0.030513 Loss_D_fake 0.007867
[173/5000][215/535][17517] Loss_D: -0.039440 Loss_G: 0.031140 Loss_D_real: -0.031715 Loss_D_fake 0.007725
[173/5000][220/535][17518] Loss_D: -0.039852 Loss_G: 0.001128 Loss_D_real: -0.019521 Loss_D_fake 0.020331
[173/5000][225/535][17519] Loss_D: -0.035500 Loss_G: 0.038494 Loss_D_real: -0.049719 Loss_D_fake -0.014219
[173/5000][230/535][17520] Loss_D: -0.038627 Loss_G: -0.006277 Loss_D_real: 0.001532 Loss_D_fake 0.040159
[173/5000][235/535][17521] Loss_D: -0.036616 Loss_G: 0.044460 Loss_D_real: -0.041264 Loss_D_fake -0.004648
[173/5000][240/535][17522] Loss_D: -0.037386 Loss_G: -0.007614 Loss_D_real: -0.002892 Loss_D_fake 0.034494
[173/5000][245/535][17523] Loss_D: -0.037222 Loss_G: 0.029029 Loss_D_real: -0.031338 Loss_D_fake 0.005884
[173/5000][250/535][17524] Loss_D: -0.038259 Loss_G: 0.024650 Loss_D_real: -0.029313 Loss_D_fake 0.008946
[173/5000][255/535][17525] Loss_D: -0.036571 Loss_G: 0.026063 Loss_D_real: -0.030734 Loss_D_fake 0.005837
[173/5000][260/535][17526] Loss_D: -0.038486 Loss_G: 0.032132 Loss_D_real: -0.037378 Loss_D_fake 0.001107
[173/5000][265/535][17527] Loss_D: -0.039425 Loss_G: 0.016687 Loss_D_real: -0.024115 Loss_D_fake 0.015310
[173/5000][270/535][17528] Loss_D: -0.038035 Loss_G: 0.029205 Loss_D_real: -0.042375 Loss_D_fake -0.004340
[173/5000][275/535][17529] Loss_D: -0.039372 Loss_G: 0.035380 Loss_D_real: -0.033391 Loss_D_fake 0.005981
[173/5000][280/535][17530] Loss_D: -0.037615 Loss_G: -0.022724 Loss_D_real: -0.001029 Loss_D_fake 0.036587
[173/5000][285/535][17531] Loss_D: -0.034747 Loss_G: 0.029195 Loss_D_real: -0.032890 Loss_D_fake 0.001857
[173/5000][290/535][17532] Loss_D: -0.035687 Loss_G: -0.006178 Loss_D_real: -0.006817 Loss_D_fake 0.028871
[173/5000][295/535][17533] Loss_D: -0.037355 Loss_G: 0.023759 Loss_D_real: -0.030099 Loss_D_fake 0.007257
[173/5000][300/535][17534] Loss_D: -0.039206 Loss_G: 0.011226 Loss_D_real: -0.014496 Loss_D_fake 0.024710
[173/5000][305/535][17535] Loss_D: -0.038919 Loss_G: 0.040708 Loss_D_real: -0.034695 Loss_D_fake 0.004225
[173/5000][310/535][17536] Loss_D: -0.038133 Loss_G: 0.041750 Loss_D_real: -0.039447 Loss_D_fake -0.001314
[173/5000][315/535][17537] Loss_D: -0.038008 Loss_G: 0.005379 Loss_D_real: -0.018420 Loss_D_fake 0.019588
[173/5000][320/535][17538] Loss_D: -0.038259 Loss_G: -0.004025 Loss_D_real: -0.021593 Loss_D_fake 0.016665
[173/5000][325/535][17539] Loss_D: -0.037392 Loss_G: 0.034284 Loss_D_real: -0.029009 Loss_D_fake 0.008384
[173/5000][330/535][17540] Loss_D: -0.038226 Loss_G: 0.012652 Loss_D_real: -0.028198 Loss_D_fake 0.010027
[173/5000][335/535][17541] Loss_D: -0.038298 Loss_G: 0.024337 Loss_D_real: -0.028535 Loss_D_fake 0.009763
[173/5000][340/535][17542] Loss_D: -0.039328 Loss_G: 0.029182 Loss_D_real: -0.029147 Loss_D_fake 0.010181
[173/5000][345/535][17543] Loss_D: -0.039752 Loss_G: 0.041396 Loss_D_real: -0.033098 Loss_D_fake 0.006653
[173/5000][350/535][17544] Loss_D: -0.034975 Loss_G: 0.047787 Loss_D_real: -0.045147 Loss_D_fake -0.010173
[173/5000][355/535][17545] Loss_D: -0.038120 Loss_G: 0.011311 Loss_D_real: -0.017197 Loss_D_fake 0.020923
[173/5000][360/535][17546] Loss_D: -0.037166 Loss_G: 0.031397 Loss_D_real: -0.034581 Loss_D_fake 0.002585
[173/5000][365/535][17547] Loss_D: -0.036818 Loss_G: 0.003062 Loss_D_real: -0.019187 Loss_D_fake 0.017632
[173/5000][370/535][17548] Loss_D: -0.038753 Loss_G: 0.034592 Loss_D_real: -0.036087 Loss_D_fake 0.002666
[173/5000][375/535][17549] Loss_D: -0.038286 Loss_G: -0.008189 Loss_D_real: -0.006560 Loss_D_fake 0.031726
[173/5000][380/535][17550] Loss_D: -0.036414 Loss_G: 0.034690 Loss_D_real: -0.039710 Loss_D_fake -0.003297
[173/5000][385/535][17551] Loss_D: -0.036105 Loss_G: -0.008206 Loss_D_real: 0.004975 Loss_D_fake 0.041079
[173/5000][390/535][17552] Loss_D: -0.035715 Loss_G: 0.028653 Loss_D_real: -0.035026 Loss_D_fake 0.000689
[173/5000][395/535][17553] Loss_D: -0.036658 Loss_G: 0.009735 Loss_D_real: -0.018320 Loss_D_fake 0.018338
[173/5000][400/535][17554] Loss_D: -0.039417 Loss_G: 0.026831 Loss_D_real: -0.024148 Loss_D_fake 0.015269
[173/5000][405/535][17555] Loss_D: -0.039136 Loss_G: 0.004609 Loss_D_real: -0.011265 Loss_D_fake 0.027871
[173/5000][410/535][17556] Loss_D: -0.038976 Loss_G: 0.032132 Loss_D_real: -0.035862 Loss_D_fake 0.003113
[173/5000][415/535][17557] Loss_D: -0.039422 Loss_G: 0.021218 Loss_D_real: -0.030540 Loss_D_fake 0.008882
[173/5000][420/535][17558] Loss_D: -0.039144 Loss_G: 0.030358 Loss_D_real: -0.038164 Loss_D_fake 0.000980
[173/5000][425/535][17559] Loss_D: -0.039335 Loss_G: 0.021374 Loss_D_real: -0.023667 Loss_D_fake 0.015668
[173/5000][430/535][17560] Loss_D: -0.038044 Loss_G: 0.040101 Loss_D_real: -0.041559 Loss_D_fake -0.003515
[173/5000][435/535][17561] Loss_D: -0.039020 Loss_G: 0.008790 Loss_D_real: -0.014105 Loss_D_fake 0.024915
[173/5000][440/535][17562] Loss_D: -0.038365 Loss_G: 0.024478 Loss_D_real: -0.024182 Loss_D_fake 0.014184
[173/5000][445/535][17563] Loss_D: -0.038459 Loss_G: 0.033105 Loss_D_real: -0.030853 Loss_D_fake 0.007606
[173/5000][450/535][17564] Loss_D: -0.036729 Loss_G: 0.027276 Loss_D_real: -0.027296 Loss_D_fake 0.009433
[173/5000][455/535][17565] Loss_D: -0.038531 Loss_G: 0.026616 Loss_D_real: -0.035892 Loss_D_fake 0.002639
[173/5000][460/535][17566] Loss_D: -0.036840 Loss_G: 0.001477 Loss_D_real: -0.008077 Loss_D_fake 0.028763
[173/5000][465/535][17567] Loss_D: -0.037566 Loss_G: 0.034960 Loss_D_real: -0.034345 Loss_D_fake 0.003221
[173/5000][470/535][17568] Loss_D: -0.038810 Loss_G: 0.011193 Loss_D_real: -0.020567 Loss_D_fake 0.018244
[173/5000][475/535][17569] Loss_D: -0.037511 Loss_G: 0.037285 Loss_D_real: -0.046793 Loss_D_fake -0.009282
[173/5000][480/535][17570] Loss_D: -0.040113 Loss_G: 0.013578 Loss_D_real: -0.016509 Loss_D_fake 0.023604
[173/5000][485/535][17571] Loss_D: -0.038901 Loss_G: 0.020637 Loss_D_real: -0.025143 Loss_D_fake 0.013757
[173/5000][490/535][17572] Loss_D: -0.041056 Loss_G: 0.022540 Loss_D_real: -0.025477 Loss_D_fake 0.015579
[173/5000][495/535][17573] Loss_D: -0.038447 Loss_G: 0.027986 Loss_D_real: -0.029461 Loss_D_fake 0.008986
[173/5000][500/535][17574] Loss_D: -0.039929 Loss_G: 0.037280 Loss_D_real: -0.035940 Loss_D_fake 0.003989
[173/5000][505/535][17575] Loss_D: -0.038299 Loss_G: -0.015466 Loss_D_real: -0.001315 Loss_D_fake 0.036984
[173/5000][510/535][17576] Loss_D: -0.037616 Loss_G: 0.022067 Loss_D_real: -0.034433 Loss_D_fake 0.003183
[173/5000][515/535][17577] Loss_D: -0.038021 Loss_G: 0.013967 Loss_D_real: -0.015335 Loss_D_fake 0.022686
[173/5000][520/535][17578] Loss_D: -0.037945 Loss_G: 0.014086 Loss_D_real: -0.025090 Loss_D_fake 0.012854
[173/5000][525/535][17579] Loss_D: -0.039891 Loss_G: 0.001706 Loss_D_real: -0.010648 Loss_D_fake 0.029243
[173/5000][530/535][17580] Loss_D: -0.037969 Loss_G: 0.034232 Loss_D_real: -0.032844 Loss_D_fake 0.005125
[173/5000][535/535][17581] Loss_D: -0.036450 Loss_G: 0.011586 Loss_D_real: -0.001191 Loss_D_fake 0.035259
[174/5000][5/535][17582] Loss_D: -0.038089 Loss_G: 0.020525 Loss_D_real: -0.031741 Loss_D_fake 0.006348
[174/5000][10/535][17583] Loss_D: -0.039381 Loss_G: 0.030780 Loss_D_real: -0.035756 Loss_D_fake 0.003625
[174/5000][15/535][17584] Loss_D: -0.039048 Loss_G: 0.031735 Loss_D_real: -0.037334 Loss_D_fake 0.001714
[174/5000][20/535][17585] Loss_D: -0.039694 Loss_G: 0.021208 Loss_D_real: -0.023144 Loss_D_fake 0.016549
[174/5000][25/535][17586] Loss_D: -0.037573 Loss_G: 0.040287 Loss_D_real: -0.035382 Loss_D_fake 0.002192
[174/5000][30/535][17587] Loss_D: -0.038603 Loss_G: 0.002721 Loss_D_real: -0.015671 Loss_D_fake 0.022932
[174/5000][35/535][17588] Loss_D: -0.036971 Loss_G: 0.035224 Loss_D_real: -0.040535 Loss_D_fake -0.003565
[174/5000][40/535][17589] Loss_D: -0.038667 Loss_G: -0.001640 Loss_D_real: -0.012249 Loss_D_fake 0.026418
[174/5000][45/535][17590] Loss_D: -0.036576 Loss_G: 0.044474 Loss_D_real: -0.041747 Loss_D_fake -0.005171
[174/5000][50/535][17591] Loss_D: -0.039376 Loss_G: 0.000465 Loss_D_real: -0.009084 Loss_D_fake 0.030292
[174/5000][55/535][17592] Loss_D: -0.039432 Loss_G: 0.014126 Loss_D_real: -0.022687 Loss_D_fake 0.016745
[174/5000][60/535][17593] Loss_D: -0.038166 Loss_G: 0.024254 Loss_D_real: -0.027061 Loss_D_fake 0.011105
[174/5000][65/535][17594] Loss_D: -0.038631 Loss_G: 0.012106 Loss_D_real: -0.018167 Loss_D_fake 0.020463
[174/5000][70/535][17595] Loss_D: -0.037726 Loss_G: 0.023882 Loss_D_real: -0.028247 Loss_D_fake 0.009478
[174/5000][75/535][17596] Loss_D: -0.034752 Loss_G: 0.026260 Loss_D_real: -0.026763 Loss_D_fake 0.007989
[174/5000][80/535][17597] Loss_D: -0.037939 Loss_G: 0.036211 Loss_D_real: -0.040543 Loss_D_fake -0.002605
[174/5000][85/535][17598] Loss_D: -0.039250 Loss_G: 0.018815 Loss_D_real: -0.019795 Loss_D_fake 0.019455
[174/5000][90/535][17599] Loss_D: -0.038786 Loss_G: 0.028760 Loss_D_real: -0.032687 Loss_D_fake 0.006099
[174/5000][95/535][17600] Loss_D: -0.037608 Loss_G: -0.017368 Loss_D_real: -0.002462 Loss_D_fake 0.035146
[174/5000][100/535][17601] Loss_D: -0.036686 Loss_G: 0.031157 Loss_D_real: -0.038283 Loss_D_fake -0.001597
[174/5000][105/535][17602] Loss_D: -0.037577 Loss_G: -0.005390 Loss_D_real: -0.002067 Loss_D_fake 0.035511
[174/5000][110/535][17603] Loss_D: -0.035858 Loss_G: 0.027330 Loss_D_real: -0.031679 Loss_D_fake 0.004179
[174/5000][115/535][17604] Loss_D: -0.037684 Loss_G: 0.006831 Loss_D_real: -0.020802 Loss_D_fake 0.016882
[174/5000][120/535][17605] Loss_D: -0.037135 Loss_G: 0.024868 Loss_D_real: -0.036838 Loss_D_fake 0.000297
[174/5000][125/535][17606] Loss_D: -0.038009 Loss_G: 0.018389 Loss_D_real: -0.026345 Loss_D_fake 0.011663
[174/5000][130/535][17607] Loss_D: -0.037441 Loss_G: -0.006471 Loss_D_real: -0.004121 Loss_D_fake 0.033321
[174/5000][135/535][17608] Loss_D: -0.035212 Loss_G: 0.034486 Loss_D_real: -0.038746 Loss_D_fake -0.003535
[174/5000][140/535][17609] Loss_D: -0.037221 Loss_G: 0.029907 Loss_D_real: -0.036380 Loss_D_fake 0.000841
[174/5000][145/535][17610] Loss_D: -0.038535 Loss_G: 0.023778 Loss_D_real: -0.024574 Loss_D_fake 0.013961
[174/5000][150/535][17611] Loss_D: -0.038983 Loss_G: 0.019802 Loss_D_real: -0.028217 Loss_D_fake 0.010766
[174/5000][155/535][17612] Loss_D: -0.039016 Loss_G: -0.000743 Loss_D_real: -0.012619 Loss_D_fake 0.026397
[174/5000][160/535][17613] Loss_D: -0.037999 Loss_G: 0.039166 Loss_D_real: -0.041276 Loss_D_fake -0.003277
[174/5000][165/535][17614] Loss_D: -0.037409 Loss_G: 0.013938 Loss_D_real: -0.019468 Loss_D_fake 0.017941
[174/5000][170/535][17615] Loss_D: -0.039723 Loss_G: 0.014293 Loss_D_real: -0.018951 Loss_D_fake 0.020772
[174/5000][175/535][17616] Loss_D: -0.037838 Loss_G: 0.021101 Loss_D_real: -0.020619 Loss_D_fake 0.017218
[174/5000][180/535][17617] Loss_D: -0.038142 Loss_G: 0.005747 Loss_D_real: -0.012809 Loss_D_fake 0.025333
[174/5000][185/535][17618] Loss_D: -0.038547 Loss_G: 0.035830 Loss_D_real: -0.037077 Loss_D_fake 0.001470
[174/5000][190/535][17619] Loss_D: -0.039026 Loss_G: -0.010636 Loss_D_real: -0.003860 Loss_D_fake 0.035166
[174/5000][195/535][17620] Loss_D: -0.036869 Loss_G: 0.039844 Loss_D_real: -0.038807 Loss_D_fake -0.001938
[174/5000][200/535][17621] Loss_D: -0.035832 Loss_G: -0.001128 Loss_D_real: -0.013219 Loss_D_fake 0.022613
[174/5000][205/535][17622] Loss_D: -0.038030 Loss_G: 0.027904 Loss_D_real: -0.032737 Loss_D_fake 0.005293
[174/5000][210/535][17623] Loss_D: -0.036676 Loss_G: -0.000210 Loss_D_real: -0.013634 Loss_D_fake 0.023043
[174/5000][215/535][17624] Loss_D: -0.038107 Loss_G: 0.032861 Loss_D_real: -0.034915 Loss_D_fake 0.003193
[174/5000][220/535][17625] Loss_D: -0.040203 Loss_G: 0.036441 Loss_D_real: -0.036441 Loss_D_fake 0.003762
[174/5000][225/535][17626] Loss_D: -0.038096 Loss_G: 0.016287 Loss_D_real: -0.022482 Loss_D_fake 0.015614
[174/5000][230/535][17627] Loss_D: -0.038015 Loss_G: 0.048924 Loss_D_real: -0.040772 Loss_D_fake -0.002758
[174/5000][235/535][17628] Loss_D: -0.039249 Loss_G: 0.006972 Loss_D_real: -0.016945 Loss_D_fake 0.022304
[174/5000][240/535][17629] Loss_D: -0.038295 Loss_G: 0.048216 Loss_D_real: -0.037097 Loss_D_fake 0.001198
[174/5000][245/535][17630] Loss_D: -0.038517 Loss_G: 0.013137 Loss_D_real: -0.022238 Loss_D_fake 0.016279
[174/5000][250/535][17631] Loss_D: -0.037842 Loss_G: 0.022506 Loss_D_real: -0.025887 Loss_D_fake 0.011955
[174/5000][255/535][17632] Loss_D: -0.039904 Loss_G: 0.026044 Loss_D_real: -0.034639 Loss_D_fake 0.005264
[174/5000][260/535][17633] Loss_D: -0.039491 Loss_G: -0.015097 Loss_D_real: 0.004730 Loss_D_fake 0.044221
[174/5000][265/535][17634] Loss_D: -0.038870 Loss_G: 0.025606 Loss_D_real: -0.030094 Loss_D_fake 0.008776
[174/5000][270/535][17635] Loss_D: -0.037965 Loss_G: 0.021193 Loss_D_real: -0.028347 Loss_D_fake 0.009618
[174/5000][275/535][17636] Loss_D: -0.040828 Loss_G: -0.006981 Loss_D_real: -0.010530 Loss_D_fake 0.030299
[174/5000][280/535][17637] Loss_D: -0.038350 Loss_G: 0.009923 Loss_D_real: -0.020443 Loss_D_fake 0.017907
[174/5000][285/535][17638] Loss_D: -0.040409 Loss_G: 0.008654 Loss_D_real: -0.021590 Loss_D_fake 0.018820
[174/5000][290/535][17639] Loss_D: -0.038722 Loss_G: 0.009310 Loss_D_real: -0.011031 Loss_D_fake 0.027690
[174/5000][295/535][17640] Loss_D: -0.039422 Loss_G: 0.037036 Loss_D_real: -0.038638 Loss_D_fake 0.000784
[174/5000][300/535][17641] Loss_D: -0.039071 Loss_G: 0.001716 Loss_D_real: -0.022361 Loss_D_fake 0.016710
[174/5000][305/535][17642] Loss_D: -0.035363 Loss_G: 0.048108 Loss_D_real: -0.045190 Loss_D_fake -0.009827
[174/5000][310/535][17643] Loss_D: -0.037370 Loss_G: 0.038139 Loss_D_real: -0.038776 Loss_D_fake -0.001406
[174/5000][315/535][17644] Loss_D: -0.038733 Loss_G: -0.010874 Loss_D_real: -0.006422 Loss_D_fake 0.032311
[174/5000][320/535][17645] Loss_D: -0.038214 Loss_G: 0.034358 Loss_D_real: -0.035158 Loss_D_fake 0.003056
[174/5000][325/535][17646] Loss_D: -0.040574 Loss_G: 0.014623 Loss_D_real: -0.014375 Loss_D_fake 0.026200
[174/5000][330/535][17647] Loss_D: -0.041497 Loss_G: 0.030304 Loss_D_real: -0.035519 Loss_D_fake 0.005978
[174/5000][335/535][17648] Loss_D: -0.038284 Loss_G: 0.046505 Loss_D_real: -0.036781 Loss_D_fake 0.001503
[174/5000][340/535][17649] Loss_D: -0.038495 Loss_G: 0.010119 Loss_D_real: -0.020518 Loss_D_fake 0.017977
[174/5000][345/535][17650] Loss_D: -0.040162 Loss_G: 0.028833 Loss_D_real: -0.030282 Loss_D_fake 0.009880
[174/5000][350/535][17651] Loss_D: -0.040444 Loss_G: 0.003167 Loss_D_real: -0.017673 Loss_D_fake 0.022771
[174/5000][355/535][17652] Loss_D: -0.037021 Loss_G: 0.045517 Loss_D_real: -0.048566 Loss_D_fake -0.011545
[174/5000][360/535][17653] Loss_D: -0.039489 Loss_G: 0.019402 Loss_D_real: -0.021221 Loss_D_fake 0.018268
[174/5000][365/535][17654] Loss_D: -0.039415 Loss_G: -0.005080 Loss_D_real: -0.008290 Loss_D_fake 0.031124
[174/5000][370/535][17655] Loss_D: -0.039253 Loss_G: 0.030325 Loss_D_real: -0.034157 Loss_D_fake 0.005097
[174/5000][375/535][17656] Loss_D: -0.038935 Loss_G: -0.007997 Loss_D_real: 0.000038 Loss_D_fake 0.038973
[174/5000][380/535][17657] Loss_D: -0.038409 Loss_G: 0.019396 Loss_D_real: -0.023944 Loss_D_fake 0.014465
[174/5000][385/535][17658] Loss_D: -0.036302 Loss_G: 0.003118 Loss_D_real: -0.015567 Loss_D_fake 0.020734
[174/5000][390/535][17659] Loss_D: -0.038832 Loss_G: 0.024976 Loss_D_real: -0.032830 Loss_D_fake 0.006001
[174/5000][395/535][17660] Loss_D: -0.038032 Loss_G: 0.014567 Loss_D_real: -0.022315 Loss_D_fake 0.015717
[174/5000][400/535][17661] Loss_D: -0.038468 Loss_G: -0.006671 Loss_D_real: -0.007513 Loss_D_fake 0.030955
[174/5000][405/535][17662] Loss_D: -0.040030 Loss_G: 0.035048 Loss_D_real: -0.027285 Loss_D_fake 0.012744
[174/5000][410/535][17663] Loss_D: -0.037837 Loss_G: 0.005726 Loss_D_real: -0.018326 Loss_D_fake 0.019511
[174/5000][415/535][17664] Loss_D: -0.036293 Loss_G: 0.044221 Loss_D_real: -0.042419 Loss_D_fake -0.006126
[174/5000][420/535][17665] Loss_D: -0.039861 Loss_G: 0.021691 Loss_D_real: -0.023434 Loss_D_fake 0.016427
[174/5000][425/535][17666] Loss_D: -0.038457 Loss_G: 0.017920 Loss_D_real: -0.027016 Loss_D_fake 0.011441
[174/5000][430/535][17667] Loss_D: -0.038297 Loss_G: 0.022666 Loss_D_real: -0.029151 Loss_D_fake 0.009146
[174/5000][435/535][17668] Loss_D: -0.038131 Loss_G: 0.009677 Loss_D_real: -0.022107 Loss_D_fake 0.016025
[174/5000][440/535][17669] Loss_D: -0.037635 Loss_G: 0.024146 Loss_D_real: -0.023753 Loss_D_fake 0.013882
[174/5000][445/535][17670] Loss_D: -0.039937 Loss_G: 0.022513 Loss_D_real: -0.020345 Loss_D_fake 0.019591
[174/5000][450/535][17671] Loss_D: -0.037995 Loss_G: 0.025817 Loss_D_real: -0.030978 Loss_D_fake 0.007016
[174/5000][455/535][17672] Loss_D: -0.039226 Loss_G: -0.001870 Loss_D_real: -0.009976 Loss_D_fake 0.029250
[174/5000][460/535][17673] Loss_D: -0.036456 Loss_G: 0.035477 Loss_D_real: -0.042628 Loss_D_fake -0.006172
[174/5000][465/535][17674] Loss_D: -0.039063 Loss_G: 0.011775 Loss_D_real: -0.016679 Loss_D_fake 0.022385
[174/5000][470/535][17675] Loss_D: -0.037725 Loss_G: -0.003232 Loss_D_real: -0.011351 Loss_D_fake 0.026373
[174/5000][475/535][17676] Loss_D: -0.036245 Loss_G: 0.040165 Loss_D_real: -0.043099 Loss_D_fake -0.006854
[174/5000][480/535][17677] Loss_D: -0.037876 Loss_G: 0.006342 Loss_D_real: -0.015211 Loss_D_fake 0.022665
[174/5000][485/535][17678] Loss_D: -0.037104 Loss_G: 0.027728 Loss_D_real: -0.030354 Loss_D_fake 0.006749
[174/5000][490/535][17679] Loss_D: -0.037835 Loss_G: 0.039727 Loss_D_real: -0.042499 Loss_D_fake -0.004663
[174/5000][495/535][17680] Loss_D: -0.038241 Loss_G: -0.012390 Loss_D_real: -0.008328 Loss_D_fake 0.029912
[174/5000][500/535][17681] Loss_D: -0.038722 Loss_G: 0.020792 Loss_D_real: -0.023974 Loss_D_fake 0.014748
[174/5000][505/535][17682] Loss_D: -0.037019 Loss_G: -0.004926 Loss_D_real: -0.001562 Loss_D_fake 0.035457
[174/5000][510/535][17683] Loss_D: -0.038537 Loss_G: 0.026812 Loss_D_real: -0.033426 Loss_D_fake 0.005111
[174/5000][515/535][17684] Loss_D: -0.039910 Loss_G: 0.013198 Loss_D_real: -0.016366 Loss_D_fake 0.023544
[174/5000][520/535][17685] Loss_D: -0.040733 Loss_G: 0.023788 Loss_D_real: -0.025987 Loss_D_fake 0.014746
[174/5000][525/535][17686] Loss_D: -0.038801 Loss_G: 0.021530 Loss_D_real: -0.024445 Loss_D_fake 0.014356
[174/5000][530/535][17687] Loss_D: -0.038156 Loss_G: 0.004334 Loss_D_real: -0.008454 Loss_D_fake 0.029702
[174/5000][535/535][17688] Loss_D: -0.037561 Loss_G: 0.041480 Loss_D_real: -0.039998 Loss_D_fake -0.002437
[175/5000][5/535][17689] Loss_D: -0.039259 Loss_G: 0.000691 Loss_D_real: -0.011576 Loss_D_fake 0.027683
[175/5000][10/535][17690] Loss_D: -0.035116 Loss_G: 0.035461 Loss_D_real: -0.035463 Loss_D_fake -0.000347
[175/5000][15/535][17691] Loss_D: -0.040665 Loss_G: 0.020682 Loss_D_real: -0.025398 Loss_D_fake 0.015267
[175/5000][20/535][17692] Loss_D: -0.036297 Loss_G: -0.007085 Loss_D_real: -0.003981 Loss_D_fake 0.032316
[175/5000][25/535][17693] Loss_D: -0.038357 Loss_G: 0.013382 Loss_D_real: -0.021014 Loss_D_fake 0.017343
[175/5000][30/535][17694] Loss_D: -0.038302 Loss_G: 0.012469 Loss_D_real: -0.015252 Loss_D_fake 0.023050
[175/5000][35/535][17695] Loss_D: -0.039096 Loss_G: 0.002443 Loss_D_real: -0.023285 Loss_D_fake 0.015811
[175/5000][40/535][17696] Loss_D: -0.038537 Loss_G: 0.032767 Loss_D_real: -0.040182 Loss_D_fake -0.001645
[175/5000][45/535][17697] Loss_D: -0.039306 Loss_G: 0.014771 Loss_D_real: -0.017070 Loss_D_fake 0.022236
[175/5000][50/535][17698] Loss_D: -0.038995 Loss_G: 0.017668 Loss_D_real: -0.020365 Loss_D_fake 0.018630
[175/5000][55/535][17699] Loss_D: -0.039071 Loss_G: 0.033835 Loss_D_real: -0.032674 Loss_D_fake 0.006397
[175/5000][60/535][17700] Loss_D: -0.040290 Loss_G: 0.023491 Loss_D_real: -0.030501 Loss_D_fake 0.009789
[175/5000][65/535][17701] Loss_D: -0.041818 Loss_G: 0.025450 Loss_D_real: -0.019163 Loss_D_fake 0.022655
[175/5000][70/535][17702] Loss_D: -0.038548 Loss_G: -0.002521 Loss_D_real: -0.017085 Loss_D_fake 0.021463
[175/5000][75/535][17703] Loss_D: -0.035911 Loss_G: 0.039429 Loss_D_real: -0.043046 Loss_D_fake -0.007135
[175/5000][80/535][17704] Loss_D: -0.039067 Loss_G: 0.002710 Loss_D_real: -0.007942 Loss_D_fake 0.031125
[175/5000][85/535][17705] Loss_D: -0.039731 Loss_G: 0.017757 Loss_D_real: -0.022471 Loss_D_fake 0.017260
[175/5000][90/535][17706] Loss_D: -0.039479 Loss_G: 0.003183 Loss_D_real: -0.014708 Loss_D_fake 0.024771
[175/5000][95/535][17707] Loss_D: -0.039307 Loss_G: 0.011805 Loss_D_real: -0.024964 Loss_D_fake 0.014342
[175/5000][100/535][17708] Loss_D: -0.036272 Loss_G: 0.044577 Loss_D_real: -0.047262 Loss_D_fake -0.010990
[175/5000][105/535][17709] Loss_D: -0.036921 Loss_G: -0.007922 Loss_D_real: -0.006624 Loss_D_fake 0.030297
[175/5000][110/535][17710] Loss_D: -0.037010 Loss_G: 0.026876 Loss_D_real: -0.025111 Loss_D_fake 0.011899
[175/5000][115/535][17711] Loss_D: -0.037912 Loss_G: 0.024685 Loss_D_real: -0.024019 Loss_D_fake 0.013893
[175/5000][120/535][17712] Loss_D: -0.039969 Loss_G: 0.015807 Loss_D_real: -0.024516 Loss_D_fake 0.015453
[175/5000][125/535][17713] Loss_D: -0.039718 Loss_G: 0.005679 Loss_D_real: -0.018845 Loss_D_fake 0.020872
[175/5000][130/535][17714] Loss_D: -0.039660 Loss_G: 0.028436 Loss_D_real: -0.029115 Loss_D_fake 0.010545
[175/5000][135/535][17715] Loss_D: -0.038128 Loss_G: -0.003971 Loss_D_real: -0.013095 Loss_D_fake 0.025033
[175/5000][140/535][17716] Loss_D: -0.037280 Loss_G: 0.033718 Loss_D_real: -0.033614 Loss_D_fake 0.003666
[175/5000][145/535][17717] Loss_D: -0.037246 Loss_G: -0.018170 Loss_D_real: 0.004727 Loss_D_fake 0.041973
[175/5000][150/535][17718] Loss_D: -0.036700 Loss_G: 0.041548 Loss_D_real: -0.039183 Loss_D_fake -0.002483
[175/5000][155/535][17719] Loss_D: -0.036687 Loss_G: 0.018296 Loss_D_real: -0.024302 Loss_D_fake 0.012385
[175/5000][160/535][17720] Loss_D: -0.037423 Loss_G: 0.033523 Loss_D_real: -0.036936 Loss_D_fake 0.000488
[175/5000][165/535][17721] Loss_D: -0.037899 Loss_G: -0.006728 Loss_D_real: -0.001924 Loss_D_fake 0.035974
[175/5000][170/535][17722] Loss_D: -0.038908 Loss_G: 0.006325 Loss_D_real: -0.024803 Loss_D_fake 0.014105
[175/5000][175/535][17723] Loss_D: -0.038934 Loss_G: 0.015137 Loss_D_real: -0.024203 Loss_D_fake 0.014731
[175/5000][180/535][17724] Loss_D: -0.039095 Loss_G: 0.009713 Loss_D_real: -0.018155 Loss_D_fake 0.020940
[175/5000][185/535][17725] Loss_D: -0.040005 Loss_G: 0.013873 Loss_D_real: -0.023376 Loss_D_fake 0.016629
[175/5000][190/535][17726] Loss_D: -0.036716 Loss_G: 0.033661 Loss_D_real: -0.033840 Loss_D_fake 0.002876
[175/5000][195/535][17727] Loss_D: -0.037660 Loss_G: 0.004863 Loss_D_real: -0.023234 Loss_D_fake 0.014426
[175/5000][200/535][17728] Loss_D: -0.040271 Loss_G: 0.029280 Loss_D_real: -0.029832 Loss_D_fake 0.010439
[175/5000][205/535][17729] Loss_D: -0.038340 Loss_G: 0.043213 Loss_D_real: -0.036375 Loss_D_fake 0.001965
[175/5000][210/535][17730] Loss_D: -0.038614 Loss_G: 0.028486 Loss_D_real: -0.029572 Loss_D_fake 0.009041
[175/5000][215/535][17731] Loss_D: -0.039193 Loss_G: 0.029922 Loss_D_real: -0.032959 Loss_D_fake 0.006234
[175/5000][220/535][17732] Loss_D: -0.035208 Loss_G: -0.017737 Loss_D_real: -0.002257 Loss_D_fake 0.032951
[175/5000][225/535][17733] Loss_D: -0.035666 Loss_G: 0.036640 Loss_D_real: -0.037377 Loss_D_fake -0.001711
[175/5000][230/535][17734] Loss_D: -0.037872 Loss_G: -0.003297 Loss_D_real: -0.006335 Loss_D_fake 0.031537
[175/5000][235/535][17735] Loss_D: -0.037986 Loss_G: 0.031487 Loss_D_real: -0.032740 Loss_D_fake 0.005245
[175/5000][240/535][17736] Loss_D: -0.036856 Loss_G: 0.015551 Loss_D_real: -0.018755 Loss_D_fake 0.018102
[175/5000][245/535][17737] Loss_D: -0.039044 Loss_G: 0.007322 Loss_D_real: -0.014193 Loss_D_fake 0.024851
[175/5000][250/535][17738] Loss_D: -0.038513 Loss_G: 0.032255 Loss_D_real: -0.027480 Loss_D_fake 0.011033
[175/5000][255/535][17739] Loss_D: -0.038918 Loss_G: 0.020955 Loss_D_real: -0.025876 Loss_D_fake 0.013042
[175/5000][260/535][17740] Loss_D: -0.039039 Loss_G: 0.011036 Loss_D_real: -0.018456 Loss_D_fake 0.020582
[175/5000][265/535][17741] Loss_D: -0.037939 Loss_G: 0.010341 Loss_D_real: -0.022909 Loss_D_fake 0.015030
[175/5000][270/535][17742] Loss_D: -0.037502 Loss_G: 0.049024 Loss_D_real: -0.042900 Loss_D_fake -0.005398
[175/5000][275/535][17743] Loss_D: -0.037868 Loss_G: -0.015995 Loss_D_real: 0.001360 Loss_D_fake 0.039228
[175/5000][280/535][17744] Loss_D: -0.035971 Loss_G: 0.028447 Loss_D_real: -0.033901 Loss_D_fake 0.002070
[175/5000][285/535][17745] Loss_D: -0.034649 Loss_G: -0.006333 Loss_D_real: 0.003691 Loss_D_fake 0.038341
[175/5000][290/535][17746] Loss_D: -0.036798 Loss_G: 0.026139 Loss_D_real: -0.032707 Loss_D_fake 0.004091
[175/5000][295/535][17747] Loss_D: -0.038040 Loss_G: 0.010294 Loss_D_real: -0.028767 Loss_D_fake 0.009273
[175/5000][300/535][17748] Loss_D: -0.037815 Loss_G: 0.005769 Loss_D_real: -0.019005 Loss_D_fake 0.018810
[175/5000][305/535][17749] Loss_D: -0.037686 Loss_G: 0.029711 Loss_D_real: -0.032550 Loss_D_fake 0.005136
[175/5000][310/535][17750] Loss_D: -0.040737 Loss_G: 0.012304 Loss_D_real: -0.016049 Loss_D_fake 0.024688
[175/5000][315/535][17751] Loss_D: -0.038184 Loss_G: 0.008546 Loss_D_real: -0.022011 Loss_D_fake 0.016173
[175/5000][320/535][17752] Loss_D: -0.039832 Loss_G: 0.021872 Loss_D_real: -0.024114 Loss_D_fake 0.015718
[175/5000][325/535][17753] Loss_D: -0.038890 Loss_G: 0.033529 Loss_D_real: -0.035079 Loss_D_fake 0.003811
[175/5000][330/535][17754] Loss_D: -0.037471 Loss_G: 0.011866 Loss_D_real: -0.016302 Loss_D_fake 0.021169
[175/5000][335/535][17755] Loss_D: -0.037350 Loss_G: 0.043447 Loss_D_real: -0.050619 Loss_D_fake -0.013270
[175/5000][340/535][17756] Loss_D: -0.037611 Loss_G: 0.033197 Loss_D_real: -0.028244 Loss_D_fake 0.009367
[175/5000][345/535][17757] Loss_D: -0.039708 Loss_G: 0.035082 Loss_D_real: -0.036840 Loss_D_fake 0.002868
[175/5000][350/535][17758] Loss_D: -0.038683 Loss_G: 0.023312 Loss_D_real: -0.025210 Loss_D_fake 0.013473
[175/5000][355/535][17759] Loss_D: -0.037679 Loss_G: 0.043569 Loss_D_real: -0.046009 Loss_D_fake -0.008330
[175/5000][360/535][17760] Loss_D: -0.038854 Loss_G: -0.004166 Loss_D_real: -0.004926 Loss_D_fake 0.033929
[175/5000][365/535][17761] Loss_D: -0.036782 Loss_G: 0.007759 Loss_D_real: -0.018402 Loss_D_fake 0.018380
[175/5000][370/535][17762] Loss_D: -0.036805 Loss_G: 0.040898 Loss_D_real: -0.040615 Loss_D_fake -0.003810
[175/5000][375/535][17763] Loss_D: -0.037457 Loss_G: -0.014665 Loss_D_real: -0.004174 Loss_D_fake 0.033283
[175/5000][380/535][17764] Loss_D: -0.037574 Loss_G: 0.023856 Loss_D_real: -0.031086 Loss_D_fake 0.006488
[175/5000][385/535][17765] Loss_D: -0.038963 Loss_G: 0.034303 Loss_D_real: -0.031589 Loss_D_fake 0.007374
[175/5000][390/535][17766] Loss_D: -0.038091 Loss_G: 0.047634 Loss_D_real: -0.043386 Loss_D_fake -0.005294
[175/5000][395/535][17767] Loss_D: -0.039399 Loss_G: 0.005715 Loss_D_real: -0.016879 Loss_D_fake 0.022520
[175/5000][400/535][17768] Loss_D: -0.039609 Loss_G: 0.025920 Loss_D_real: -0.029290 Loss_D_fake 0.010319
[175/5000][405/535][17769] Loss_D: -0.039605 Loss_G: 0.007207 Loss_D_real: -0.014306 Loss_D_fake 0.025299
[175/5000][410/535][17770] Loss_D: -0.038691 Loss_G: 0.031432 Loss_D_real: -0.028381 Loss_D_fake 0.010310
[175/5000][415/535][17771] Loss_D: -0.039892 Loss_G: 0.038356 Loss_D_real: -0.037423 Loss_D_fake 0.002469
[175/5000][420/535][17772] Loss_D: -0.038466 Loss_G: 0.009864 Loss_D_real: -0.020072 Loss_D_fake 0.018393
[175/5000][425/535][17773] Loss_D: -0.038881 Loss_G: 0.035544 Loss_D_real: -0.036590 Loss_D_fake 0.002291
[175/5000][430/535][17774] Loss_D: -0.038689 Loss_G: 0.016383 Loss_D_real: -0.018471 Loss_D_fake 0.020217
[175/5000][435/535][17775] Loss_D: -0.036544 Loss_G: 0.038268 Loss_D_real: -0.052564 Loss_D_fake -0.016020
[175/5000][440/535][17776] Loss_D: -0.038055 Loss_G: 0.008996 Loss_D_real: -0.007457 Loss_D_fake 0.030598
[175/5000][445/535][17777] Loss_D: -0.037246 Loss_G: 0.033527 Loss_D_real: -0.030613 Loss_D_fake 0.006634
[175/5000][450/535][17778] Loss_D: -0.039493 Loss_G: 0.019683 Loss_D_real: -0.026438 Loss_D_fake 0.013055
[175/5000][455/535][17779] Loss_D: -0.038686 Loss_G: 0.015065 Loss_D_real: -0.020651 Loss_D_fake 0.018034
[175/5000][460/535][17780] Loss_D: -0.038905 Loss_G: 0.017846 Loss_D_real: -0.023053 Loss_D_fake 0.015852
[175/5000][465/535][17781] Loss_D: -0.040150 Loss_G: 0.014058 Loss_D_real: -0.028669 Loss_D_fake 0.011481
[175/5000][470/535][17782] Loss_D: -0.037938 Loss_G: 0.035242 Loss_D_real: -0.036812 Loss_D_fake 0.001126
[175/5000][475/535][17783] Loss_D: -0.039573 Loss_G: 0.031808 Loss_D_real: -0.031523 Loss_D_fake 0.008049
[175/5000][480/535][17784] Loss_D: -0.037271 Loss_G: 0.000202 Loss_D_real: -0.009883 Loss_D_fake 0.027388
[175/5000][485/535][17785] Loss_D: -0.036903 Loss_G: 0.040700 Loss_D_real: -0.044150 Loss_D_fake -0.007247
[175/5000][490/535][17786] Loss_D: -0.038604 Loss_G: 0.014738 Loss_D_real: -0.024380 Loss_D_fake 0.014224
[175/5000][495/535][17787] Loss_D: -0.039880 Loss_G: 0.025453 Loss_D_real: -0.026109 Loss_D_fake 0.013771
[175/5000][500/535][17788] Loss_D: -0.039614 Loss_G: 0.015684 Loss_D_real: -0.016839 Loss_D_fake 0.022775
[175/5000][505/535][17789] Loss_D: -0.040492 Loss_G: 0.022631 Loss_D_real: -0.026498 Loss_D_fake 0.013995
[175/5000][510/535][17790] Loss_D: -0.040168 Loss_G: 0.021674 Loss_D_real: -0.023307 Loss_D_fake 0.016861
[175/5000][515/535][17791] Loss_D: -0.040259 Loss_G: 0.019491 Loss_D_real: -0.025150 Loss_D_fake 0.015109
[175/5000][520/535][17792] Loss_D: -0.039558 Loss_G: 0.037557 Loss_D_real: -0.041666 Loss_D_fake -0.002108
[175/5000][525/535][17793] Loss_D: -0.037720 Loss_G: -0.007886 Loss_D_real: 0.000157 Loss_D_fake 0.037877
[175/5000][530/535][17794] Loss_D: -0.037858 Loss_G: 0.006455 Loss_D_real: -0.024132 Loss_D_fake 0.013726
[175/5000][535/535][17795] Loss_D: -0.034872 Loss_G: 0.030395 Loss_D_real: -0.036254 Loss_D_fake -0.001383
[176/5000][5/535][17796] Loss_D: -0.035880 Loss_G: -0.018340 Loss_D_real: 0.003548 Loss_D_fake 0.039428
[176/5000][10/535][17797] Loss_D: -0.037058 Loss_G: 0.032519 Loss_D_real: -0.038368 Loss_D_fake -0.001310
[176/5000][15/535][17798] Loss_D: -0.038952 Loss_G: 0.007511 Loss_D_real: -0.015769 Loss_D_fake 0.023183
[176/5000][20/535][17799] Loss_D: -0.039281 Loss_G: 0.031315 Loss_D_real: -0.030821 Loss_D_fake 0.008460
[176/5000][25/535][17800] Loss_D: -0.038666 Loss_G: -0.002407 Loss_D_real: -0.009202 Loss_D_fake 0.029464
[176/5000][30/535][17801] Loss_D: -0.036862 Loss_G: 0.015233 Loss_D_real: -0.028951 Loss_D_fake 0.007910
[176/5000][35/535][17802] Loss_D: -0.036166 Loss_G: 0.005442 Loss_D_real: -0.017538 Loss_D_fake 0.018628
[176/5000][40/535][17803] Loss_D: -0.038277 Loss_G: 0.016786 Loss_D_real: -0.020763 Loss_D_fake 0.017514
[176/5000][45/535][17804] Loss_D: -0.037631 Loss_G: 0.012344 Loss_D_real: -0.013757 Loss_D_fake 0.023875
[176/5000][50/535][17805] Loss_D: -0.037626 Loss_G: 0.020156 Loss_D_real: -0.022252 Loss_D_fake 0.015375
[176/5000][55/535][17806] Loss_D: -0.037322 Loss_G: 0.034652 Loss_D_real: -0.034826 Loss_D_fake 0.002497
[176/5000][60/535][17807] Loss_D: -0.037736 Loss_G: 0.024358 Loss_D_real: -0.023448 Loss_D_fake 0.014288
[176/5000][65/535][17808] Loss_D: -0.038081 Loss_G: 0.003532 Loss_D_real: -0.012667 Loss_D_fake 0.025414
[176/5000][70/535][17809] Loss_D: -0.037428 Loss_G: -0.003718 Loss_D_real: -0.016390 Loss_D_fake 0.021038
[176/5000][75/535][17810] Loss_D: -0.037230 Loss_G: 0.025163 Loss_D_real: -0.031665 Loss_D_fake 0.005564
[176/5000][80/535][17811] Loss_D: -0.036261 Loss_G: -0.003160 Loss_D_real: -0.007562 Loss_D_fake 0.028699
[176/5000][85/535][17812] Loss_D: -0.036993 Loss_G: 0.026387 Loss_D_real: -0.028478 Loss_D_fake 0.008515
[176/5000][90/535][17813] Loss_D: -0.038095 Loss_G: 0.010014 Loss_D_real: -0.021325 Loss_D_fake 0.016770
[176/5000][95/535][17814] Loss_D: -0.037562 Loss_G: 0.018904 Loss_D_real: -0.022258 Loss_D_fake 0.015304
[176/5000][100/535][17815] Loss_D: -0.037659 Loss_G: 0.027022 Loss_D_real: -0.029802 Loss_D_fake 0.007857
[176/5000][105/535][17816] Loss_D: -0.039572 Loss_G: 0.001137 Loss_D_real: -0.010990 Loss_D_fake 0.028582
[176/5000][110/535][17817] Loss_D: -0.036111 Loss_G: 0.039318 Loss_D_real: -0.042269 Loss_D_fake -0.006158
[176/5000][115/535][17818] Loss_D: -0.038042 Loss_G: -0.007935 Loss_D_real: -0.009461 Loss_D_fake 0.028581
[176/5000][120/535][17819] Loss_D: -0.038220 Loss_G: 0.019433 Loss_D_real: -0.024301 Loss_D_fake 0.013919
[176/5000][125/535][17820] Loss_D: -0.037023 Loss_G: 0.033477 Loss_D_real: -0.035545 Loss_D_fake 0.001477
[176/5000][130/535][17821] Loss_D: -0.038344 Loss_G: 0.021135 Loss_D_real: -0.023052 Loss_D_fake 0.015293
[176/5000][135/535][17822] Loss_D: -0.037551 Loss_G: 0.003106 Loss_D_real: -0.010619 Loss_D_fake 0.026932
[176/5000][140/535][17823] Loss_D: -0.037587 Loss_G: 0.007984 Loss_D_real: -0.023209 Loss_D_fake 0.014379
[176/5000][145/535][17824] Loss_D: -0.036938 Loss_G: 0.046303 Loss_D_real: -0.045098 Loss_D_fake -0.008159
[176/5000][150/535][17825] Loss_D: -0.039015 Loss_G: -0.020547 Loss_D_real: 0.001413 Loss_D_fake 0.040427
[176/5000][155/535][17826] Loss_D: -0.037701 Loss_G: 0.021484 Loss_D_real: -0.025337 Loss_D_fake 0.012364
[176/5000][160/535][17827] Loss_D: -0.036741 Loss_G: 0.037559 Loss_D_real: -0.032423 Loss_D_fake 0.004318
[176/5000][165/535][17828] Loss_D: -0.037252 Loss_G: -0.004977 Loss_D_real: -0.008463 Loss_D_fake 0.028789
[176/5000][170/535][17829] Loss_D: -0.036331 Loss_G: 0.036336 Loss_D_real: -0.041789 Loss_D_fake -0.005459
[176/5000][175/535][17830] Loss_D: -0.038578 Loss_G: 0.012915 Loss_D_real: -0.022721 Loss_D_fake 0.015857
[176/5000][180/535][17831] Loss_D: -0.036827 Loss_G: 0.031355 Loss_D_real: -0.033095 Loss_D_fake 0.003733
[176/5000][185/535][17832] Loss_D: -0.039602 Loss_G: 0.016160 Loss_D_real: -0.028621 Loss_D_fake 0.010981
[176/5000][190/535][17833] Loss_D: -0.038436 Loss_G: -0.001436 Loss_D_real: -0.011771 Loss_D_fake 0.026664
[176/5000][195/535][17834] Loss_D: -0.037444 Loss_G: 0.022555 Loss_D_real: -0.037754 Loss_D_fake -0.000311
[176/5000][200/535][17835] Loss_D: -0.039305 Loss_G: 0.033213 Loss_D_real: -0.036120 Loss_D_fake 0.003185
[176/5000][205/535][17836] Loss_D: -0.038220 Loss_G: 0.010048 Loss_D_real: -0.011194 Loss_D_fake 0.027026
[176/5000][210/535][17837] Loss_D: -0.035332 Loss_G: 0.042152 Loss_D_real: -0.043810 Loss_D_fake -0.008478
[176/5000][215/535][17838] Loss_D: -0.037626 Loss_G: -0.009508 Loss_D_real: -0.003290 Loss_D_fake 0.034336
[176/5000][220/535][17839] Loss_D: -0.035734 Loss_G: 0.029702 Loss_D_real: -0.035641 Loss_D_fake 0.000093
[176/5000][225/535][17840] Loss_D: -0.040048 Loss_G: 0.006057 Loss_D_real: -0.016174 Loss_D_fake 0.023874
[176/5000][230/535][17841] Loss_D: -0.038503 Loss_G: 0.029569 Loss_D_real: -0.032202 Loss_D_fake 0.006301
[176/5000][235/535][17842] Loss_D: -0.041447 Loss_G: 0.034753 Loss_D_real: -0.032716 Loss_D_fake 0.008731
[176/5000][240/535][17843] Loss_D: -0.039077 Loss_G: -0.008723 Loss_D_real: -0.011155 Loss_D_fake 0.027922
[176/5000][245/535][17844] Loss_D: -0.039059 Loss_G: 0.038530 Loss_D_real: -0.037024 Loss_D_fake 0.002035
[176/5000][250/535][17845] Loss_D: -0.037986 Loss_G: 0.021535 Loss_D_real: -0.026053 Loss_D_fake 0.011934
[176/5000][255/535][17846] Loss_D: -0.039271 Loss_G: 0.048784 Loss_D_real: -0.038459 Loss_D_fake 0.000812
[176/5000][260/535][17847] Loss_D: -0.038585 Loss_G: -0.012953 Loss_D_real: -0.002901 Loss_D_fake 0.035685
[176/5000][265/535][17848] Loss_D: -0.037288 Loss_G: 0.037694 Loss_D_real: -0.026716 Loss_D_fake 0.010572
[176/5000][270/535][17849] Loss_D: -0.038909 Loss_G: 0.010012 Loss_D_real: -0.010988 Loss_D_fake 0.027921
[176/5000][275/535][17850] Loss_D: -0.040326 Loss_G: 0.027446 Loss_D_real: -0.032394 Loss_D_fake 0.007932
[176/5000][280/535][17851] Loss_D: -0.039144 Loss_G: 0.044036 Loss_D_real: -0.040489 Loss_D_fake -0.001345
[176/5000][285/535][17852] Loss_D: -0.040065 Loss_G: 0.005670 Loss_D_real: -0.016042 Loss_D_fake 0.024023
[176/5000][290/535][17853] Loss_D: -0.038333 Loss_G: 0.026539 Loss_D_real: -0.029700 Loss_D_fake 0.008633
[176/5000][295/535][17854] Loss_D: -0.039327 Loss_G: 0.002465 Loss_D_real: -0.016539 Loss_D_fake 0.022788
[176/5000][300/535][17855] Loss_D: -0.037833 Loss_G: 0.035669 Loss_D_real: -0.027155 Loss_D_fake 0.010678
[176/5000][305/535][17856] Loss_D: -0.037935 Loss_G: -0.006017 Loss_D_real: -0.012073 Loss_D_fake 0.025862
[176/5000][310/535][17857] Loss_D: -0.037381 Loss_G: 0.032041 Loss_D_real: -0.037659 Loss_D_fake -0.000278
[176/5000][315/535][17858] Loss_D: -0.038873 Loss_G: -0.007726 Loss_D_real: -0.008437 Loss_D_fake 0.030436
[176/5000][320/535][17859] Loss_D: -0.037075 Loss_G: 0.003019 Loss_D_real: -0.012563 Loss_D_fake 0.024512
[176/5000][325/535][17860] Loss_D: -0.037315 Loss_G: -0.000386 Loss_D_real: -0.012361 Loss_D_fake 0.024953
[176/5000][330/535][17861] Loss_D: -0.036421 Loss_G: 0.032722 Loss_D_real: -0.039606 Loss_D_fake -0.003185
[176/5000][335/535][17862] Loss_D: -0.037745 Loss_G: 0.032143 Loss_D_real: -0.030179 Loss_D_fake 0.007566
[176/5000][340/535][17863] Loss_D: -0.038373 Loss_G: 0.012451 Loss_D_real: -0.019630 Loss_D_fake 0.018743
[176/5000][345/535][17864] Loss_D: -0.038917 Loss_G: 0.016667 Loss_D_real: -0.020752 Loss_D_fake 0.018165
[176/5000][350/535][17865] Loss_D: -0.037983 Loss_G: 0.015900 Loss_D_real: -0.022181 Loss_D_fake 0.015803
[176/5000][355/535][17866] Loss_D: -0.039510 Loss_G: 0.014041 Loss_D_real: -0.023555 Loss_D_fake 0.015954
[176/5000][360/535][17867] Loss_D: -0.036695 Loss_G: 0.028959 Loss_D_real: -0.021990 Loss_D_fake 0.014705
[176/5000][365/535][17868] Loss_D: -0.038342 Loss_G: -0.003980 Loss_D_real: -0.011232 Loss_D_fake 0.027110
[176/5000][370/535][17869] Loss_D: -0.037117 Loss_G: 0.037797 Loss_D_real: -0.037470 Loss_D_fake -0.000353
[176/5000][375/535][17870] Loss_D: -0.038344 Loss_G: 0.020145 Loss_D_real: -0.025011 Loss_D_fake 0.013334
[176/5000][380/535][17871] Loss_D: -0.038459 Loss_G: 0.010678 Loss_D_real: -0.022636 Loss_D_fake 0.015822
[176/5000][385/535][17872] Loss_D: -0.038500 Loss_G: 0.039343 Loss_D_real: -0.039965 Loss_D_fake -0.001465
[176/5000][390/535][17873] Loss_D: -0.037600 Loss_G: 0.020502 Loss_D_real: -0.020726 Loss_D_fake 0.016873
[176/5000][395/535][17874] Loss_D: -0.037773 Loss_G: 0.031826 Loss_D_real: -0.037125 Loss_D_fake 0.000648
[176/5000][400/535][17875] Loss_D: -0.038043 Loss_G: 0.006429 Loss_D_real: -0.021858 Loss_D_fake 0.016185
[176/5000][405/535][17876] Loss_D: -0.036099 Loss_G: 0.033047 Loss_D_real: -0.035535 Loss_D_fake 0.000564
[176/5000][410/535][17877] Loss_D: -0.036720 Loss_G: 0.003402 Loss_D_real: -0.012486 Loss_D_fake 0.024234
[176/5000][415/535][17878] Loss_D: -0.037732 Loss_G: 0.020118 Loss_D_real: -0.023195 Loss_D_fake 0.014537
[176/5000][420/535][17879] Loss_D: -0.036230 Loss_G: 0.046348 Loss_D_real: -0.041593 Loss_D_fake -0.005364
[176/5000][425/535][17880] Loss_D: -0.038529 Loss_G: -0.007111 Loss_D_real: -0.008495 Loss_D_fake 0.030034
[176/5000][430/535][17881] Loss_D: -0.036423 Loss_G: 0.028470 Loss_D_real: -0.034231 Loss_D_fake 0.002192
[176/5000][435/535][17882] Loss_D: -0.037784 Loss_G: 0.044290 Loss_D_real: -0.047433 Loss_D_fake -0.009649
[176/5000][440/535][17883] Loss_D: -0.039001 Loss_G: 0.006756 Loss_D_real: -0.010522 Loss_D_fake 0.028479
[176/5000][445/535][17884] Loss_D: -0.035875 Loss_G: 0.047706 Loss_D_real: -0.043013 Loss_D_fake -0.007138
[176/5000][450/535][17885] Loss_D: -0.034643 Loss_G: -0.012849 Loss_D_real: 0.003580 Loss_D_fake 0.038222
[176/5000][455/535][17886] Loss_D: -0.036617 Loss_G: 0.016105 Loss_D_real: -0.019613 Loss_D_fake 0.017004
[176/5000][460/535][17887] Loss_D: -0.035675 Loss_G: 0.019112 Loss_D_real: -0.034482 Loss_D_fake 0.001194
[176/5000][465/535][17888] Loss_D: -0.038419 Loss_G: 0.029639 Loss_D_real: -0.034587 Loss_D_fake 0.003832
[176/5000][470/535][17889] Loss_D: -0.039775 Loss_G: 0.024743 Loss_D_real: -0.026979 Loss_D_fake 0.012795
[176/5000][475/535][17890] Loss_D: -0.039163 Loss_G: 0.042968 Loss_D_real: -0.036820 Loss_D_fake 0.002343
[176/5000][480/535][17891] Loss_D: -0.039817 Loss_G: 0.020445 Loss_D_real: -0.018484 Loss_D_fake 0.021333
[176/5000][485/535][17892] Loss_D: -0.039760 Loss_G: 0.018946 Loss_D_real: -0.025380 Loss_D_fake 0.014380
[176/5000][490/535][17893] Loss_D: -0.041588 Loss_G: 0.034642 Loss_D_real: -0.032745 Loss_D_fake 0.008843
[176/5000][495/535][17894] Loss_D: -0.038101 Loss_G: -0.010209 Loss_D_real: -0.000155 Loss_D_fake 0.037946
[176/5000][500/535][17895] Loss_D: -0.036190 Loss_G: 0.045634 Loss_D_real: -0.051386 Loss_D_fake -0.015196
[176/5000][505/535][17896] Loss_D: -0.038112 Loss_G: 0.003549 Loss_D_real: -0.015064 Loss_D_fake 0.023048
[176/5000][510/535][17897] Loss_D: -0.040931 Loss_G: 0.024906 Loss_D_real: -0.028233 Loss_D_fake 0.012698
[176/5000][515/535][17898] Loss_D: -0.040135 Loss_G: 0.002897 Loss_D_real: -0.006602 Loss_D_fake 0.033533
[176/5000][520/535][17899] Loss_D: -0.037248 Loss_G: 0.036785 Loss_D_real: -0.031939 Loss_D_fake 0.005310
[176/5000][525/535][17900] Loss_D: -0.039792 Loss_G: 0.012310 Loss_D_real: -0.021411 Loss_D_fake 0.018381
[176/5000][530/535][17901] Loss_D: -0.040551 Loss_G: 0.017074 Loss_D_real: -0.028028 Loss_D_fake 0.012523
[176/5000][535/535][17902] Loss_D: -0.038642 Loss_G: 0.025911 Loss_D_real: -0.010855 Loss_D_fake 0.027787
[177/5000][5/535][17903] Loss_D: -0.036587 Loss_G: -0.002294 Loss_D_real: -0.010596 Loss_D_fake 0.025991
[177/5000][10/535][17904] Loss_D: -0.037544 Loss_G: 0.028195 Loss_D_real: -0.025181 Loss_D_fake 0.012363
[177/5000][15/535][17905] Loss_D: -0.038610 Loss_G: -0.003498 Loss_D_real: -0.012171 Loss_D_fake 0.026439
[177/5000][20/535][17906] Loss_D: -0.037858 Loss_G: 0.029739 Loss_D_real: -0.039731 Loss_D_fake -0.001873
[177/5000][25/535][17907] Loss_D: -0.038212 Loss_G: -0.003878 Loss_D_real: -0.015862 Loss_D_fake 0.022350
[177/5000][30/535][17908] Loss_D: -0.036810 Loss_G: 0.035755 Loss_D_real: -0.043201 Loss_D_fake -0.006391
[177/5000][35/535][17909] Loss_D: -0.039145 Loss_G: 0.007284 Loss_D_real: -0.020383 Loss_D_fake 0.018761
[177/5000][40/535][17910] Loss_D: -0.037981 Loss_G: 0.027568 Loss_D_real: -0.032946 Loss_D_fake 0.005035
[177/5000][45/535][17911] Loss_D: -0.039134 Loss_G: 0.018107 Loss_D_real: -0.022638 Loss_D_fake 0.016496
[177/5000][50/535][17912] Loss_D: -0.038645 Loss_G: -0.010227 Loss_D_real: -0.001168 Loss_D_fake 0.037477
[177/5000][55/535][17913] Loss_D: -0.038228 Loss_G: 0.031463 Loss_D_real: -0.043068 Loss_D_fake -0.004840
[177/5000][60/535][17914] Loss_D: -0.036806 Loss_G: 0.036264 Loss_D_real: -0.029388 Loss_D_fake 0.007418
[177/5000][65/535][17915] Loss_D: -0.038476 Loss_G: 0.029103 Loss_D_real: -0.027734 Loss_D_fake 0.010741
[177/5000][70/535][17916] Loss_D: -0.037854 Loss_G: 0.047385 Loss_D_real: -0.037505 Loss_D_fake 0.000349
[177/5000][75/535][17917] Loss_D: -0.037750 Loss_G: -0.010887 Loss_D_real: 0.000147 Loss_D_fake 0.037897
[177/5000][80/535][17918] Loss_D: -0.037346 Loss_G: 0.029887 Loss_D_real: -0.029053 Loss_D_fake 0.008293
[177/5000][85/535][17919] Loss_D: -0.037602 Loss_G: 0.004694 Loss_D_real: -0.023782 Loss_D_fake 0.013820
[177/5000][90/535][17920] Loss_D: -0.037810 Loss_G: 0.031083 Loss_D_real: -0.032270 Loss_D_fake 0.005541
[177/5000][95/535][17921] Loss_D: -0.038040 Loss_G: 0.007156 Loss_D_real: -0.015396 Loss_D_fake 0.022644
[177/5000][100/535][17922] Loss_D: -0.038007 Loss_G: 0.024822 Loss_D_real: -0.026856 Loss_D_fake 0.011151
[177/5000][105/535][17923] Loss_D: -0.037895 Loss_G: -0.002474 Loss_D_real: -0.005015 Loss_D_fake 0.032880
[177/5000][110/535][17924] Loss_D: -0.037567 Loss_G: 0.029207 Loss_D_real: -0.032413 Loss_D_fake 0.005154
[177/5000][115/535][17925] Loss_D: -0.038280 Loss_G: 0.026121 Loss_D_real: -0.023406 Loss_D_fake 0.014875
[177/5000][120/535][17926] Loss_D: -0.039115 Loss_G: -0.005215 Loss_D_real: -0.005233 Loss_D_fake 0.033882
[177/5000][125/535][17927] Loss_D: -0.039035 Loss_G: 0.029159 Loss_D_real: -0.028695 Loss_D_fake 0.010341
[177/5000][130/535][17928] Loss_D: -0.038588 Loss_G: 0.015674 Loss_D_real: -0.021051 Loss_D_fake 0.017537
[177/5000][135/535][17929] Loss_D: -0.039635 Loss_G: 0.010147 Loss_D_real: -0.022945 Loss_D_fake 0.016690
[177/5000][140/535][17930] Loss_D: -0.035841 Loss_G: 0.040897 Loss_D_real: -0.043007 Loss_D_fake -0.007167
[177/5000][145/535][17931] Loss_D: -0.039430 Loss_G: 0.020203 Loss_D_real: -0.021453 Loss_D_fake 0.017977
[177/5000][150/535][17932] Loss_D: -0.037307 Loss_G: -0.008285 Loss_D_real: -0.001016 Loss_D_fake 0.036291
[177/5000][155/535][17933] Loss_D: -0.036826 Loss_G: 0.024653 Loss_D_real: -0.029697 Loss_D_fake 0.007129
[177/5000][160/535][17934] Loss_D: -0.038090 Loss_G: 0.009677 Loss_D_real: -0.017228 Loss_D_fake 0.020862
[177/5000][165/535][17935] Loss_D: -0.040058 Loss_G: 0.003223 Loss_D_real: -0.018370 Loss_D_fake 0.021688
[177/5000][170/535][17936] Loss_D: -0.037166 Loss_G: 0.044997 Loss_D_real: -0.045899 Loss_D_fake -0.008733
[177/5000][175/535][17937] Loss_D: -0.037545 Loss_G: -0.012159 Loss_D_real: -0.003375 Loss_D_fake 0.034170
[177/5000][180/535][17938] Loss_D: -0.039353 Loss_G: 0.020809 Loss_D_real: -0.026349 Loss_D_fake 0.013004
[177/5000][185/535][17939] Loss_D: -0.040021 Loss_G: 0.014367 Loss_D_real: -0.018561 Loss_D_fake 0.021460
[177/5000][190/535][17940] Loss_D: -0.038186 Loss_G: 0.024501 Loss_D_real: -0.027731 Loss_D_fake 0.010455
[177/5000][195/535][17941] Loss_D: -0.039651 Loss_G: 0.018499 Loss_D_real: -0.029281 Loss_D_fake 0.010369
[177/5000][200/535][17942] Loss_D: -0.038727 Loss_G: 0.041090 Loss_D_real: -0.037487 Loss_D_fake 0.001240
[177/5000][205/535][17943] Loss_D: -0.039150 Loss_G: 0.014718 Loss_D_real: -0.024162 Loss_D_fake 0.014988
[177/5000][210/535][17944] Loss_D: -0.037739 Loss_G: 0.009055 Loss_D_real: -0.013858 Loss_D_fake 0.023881
[177/5000][215/535][17945] Loss_D: -0.036915 Loss_G: 0.040182 Loss_D_real: -0.046300 Loss_D_fake -0.009385
[177/5000][220/535][17946] Loss_D: -0.037238 Loss_G: 0.003037 Loss_D_real: -0.015952 Loss_D_fake 0.021286
[177/5000][225/535][17947] Loss_D: -0.036449 Loss_G: 0.040964 Loss_D_real: -0.036030 Loss_D_fake 0.000419
[177/5000][230/535][17948] Loss_D: -0.035856 Loss_G: 0.010453 Loss_D_real: -0.018760 Loss_D_fake 0.017095
[177/5000][235/535][17949] Loss_D: -0.038319 Loss_G: 0.020525 Loss_D_real: -0.030801 Loss_D_fake 0.007517
[177/5000][240/535][17950] Loss_D: -0.037381 Loss_G: 0.035508 Loss_D_real: -0.037851 Loss_D_fake -0.000471
[177/5000][245/535][17951] Loss_D: -0.039032 Loss_G: 0.010082 Loss_D_real: -0.015674 Loss_D_fake 0.023359
[177/5000][250/535][17952] Loss_D: -0.037717 Loss_G: 0.024725 Loss_D_real: -0.028307 Loss_D_fake 0.009410
[177/5000][255/535][17953] Loss_D: -0.037517 Loss_G: 0.010198 Loss_D_real: -0.017451 Loss_D_fake 0.020066
[177/5000][260/535][17954] Loss_D: -0.038435 Loss_G: 0.041393 Loss_D_real: -0.034114 Loss_D_fake 0.004321
[177/5000][265/535][17955] Loss_D: -0.038114 Loss_G: -0.009152 Loss_D_real: -0.002428 Loss_D_fake 0.035686
[177/5000][270/535][17956] Loss_D: -0.035373 Loss_G: 0.034881 Loss_D_real: -0.027070 Loss_D_fake 0.008304
[177/5000][275/535][17957] Loss_D: -0.038369 Loss_G: 0.008863 Loss_D_real: -0.014070 Loss_D_fake 0.024299
[177/5000][280/535][17958] Loss_D: -0.037389 Loss_G: 0.010225 Loss_D_real: -0.021073 Loss_D_fake 0.016316
[177/5000][285/535][17959] Loss_D: -0.037827 Loss_G: 0.034099 Loss_D_real: -0.028886 Loss_D_fake 0.008942
[177/5000][290/535][17960] Loss_D: -0.039794 Loss_G: 0.010378 Loss_D_real: -0.022222 Loss_D_fake 0.017572
[177/5000][295/535][17961] Loss_D: -0.038269 Loss_G: 0.021094 Loss_D_real: -0.022843 Loss_D_fake 0.015426
[177/5000][300/535][17962] Loss_D: -0.038217 Loss_G: 0.030091 Loss_D_real: -0.032508 Loss_D_fake 0.005709
[177/5000][305/535][17963] Loss_D: -0.038382 Loss_G: 0.013127 Loss_D_real: -0.019252 Loss_D_fake 0.019130
[177/5000][310/535][17964] Loss_D: -0.036340 Loss_G: 0.044480 Loss_D_real: -0.042499 Loss_D_fake -0.006160
[177/5000][315/535][17965] Loss_D: -0.037209 Loss_G: 0.036863 Loss_D_real: -0.035248 Loss_D_fake 0.001962
[177/5000][320/535][17966] Loss_D: -0.039672 Loss_G: 0.025458 Loss_D_real: -0.029565 Loss_D_fake 0.010108
[177/5000][325/535][17967] Loss_D: -0.038084 Loss_G: 0.029648 Loss_D_real: -0.030666 Loss_D_fake 0.007418
[177/5000][330/535][17968] Loss_D: -0.039475 Loss_G: 0.008323 Loss_D_real: -0.025191 Loss_D_fake 0.014283
[177/5000][335/535][17969] Loss_D: -0.036671 Loss_G: 0.038608 Loss_D_real: -0.038970 Loss_D_fake -0.002299
[177/5000][340/535][17970] Loss_D: -0.037269 Loss_G: 0.000094 Loss_D_real: -0.001723 Loss_D_fake 0.035546
[177/5000][345/535][17971] Loss_D: -0.038040 Loss_G: 0.020542 Loss_D_real: -0.028095 Loss_D_fake 0.009944
[177/5000][350/535][17972] Loss_D: -0.036871 Loss_G: 0.024168 Loss_D_real: -0.028205 Loss_D_fake 0.008666
[177/5000][355/535][17973] Loss_D: -0.037690 Loss_G: 0.031416 Loss_D_real: -0.031520 Loss_D_fake 0.006169
[177/5000][360/535][17974] Loss_D: -0.038848 Loss_G: 0.008983 Loss_D_real: -0.013851 Loss_D_fake 0.024997
[177/5000][365/535][17975] Loss_D: -0.038178 Loss_G: 0.006675 Loss_D_real: -0.016554 Loss_D_fake 0.021624
[177/5000][370/535][17976] Loss_D: -0.038620 Loss_G: 0.003954 Loss_D_real: -0.013229 Loss_D_fake 0.025391
[177/5000][375/535][17977] Loss_D: -0.038425 Loss_G: 0.040805 Loss_D_real: -0.034987 Loss_D_fake 0.003438
[177/5000][380/535][17978] Loss_D: -0.036425 Loss_G: -0.021188 Loss_D_real: 0.006461 Loss_D_fake 0.042885
[177/5000][385/535][17979] Loss_D: -0.036800 Loss_G: 0.028656 Loss_D_real: -0.031630 Loss_D_fake 0.005170
[177/5000][390/535][17980] Loss_D: -0.035364 Loss_G: 0.003644 Loss_D_real: -0.010280 Loss_D_fake 0.025084
[177/5000][395/535][17981] Loss_D: -0.038850 Loss_G: 0.023965 Loss_D_real: -0.036909 Loss_D_fake 0.001942
[177/5000][400/535][17982] Loss_D: -0.038300 Loss_G: 0.013176 Loss_D_real: -0.022443 Loss_D_fake 0.015857
[177/5000][405/535][17983] Loss_D: -0.038756 Loss_G: 0.032289 Loss_D_real: -0.036369 Loss_D_fake 0.002386
[177/5000][410/535][17984] Loss_D: -0.039584 Loss_G: 0.014574 Loss_D_real: -0.023555 Loss_D_fake 0.016029
[177/5000][415/535][17985] Loss_D: -0.037759 Loss_G: 0.034256 Loss_D_real: -0.040866 Loss_D_fake -0.003107
[177/5000][420/535][17986] Loss_D: -0.037803 Loss_G: 0.029573 Loss_D_real: -0.028773 Loss_D_fake 0.009030
[177/5000][425/535][17987] Loss_D: -0.036142 Loss_G: -0.012099 Loss_D_real: -0.000089 Loss_D_fake 0.036053
[177/5000][430/535][17988] Loss_D: -0.035610 Loss_G: 0.020530 Loss_D_real: -0.028224 Loss_D_fake 0.007385
[177/5000][435/535][17989] Loss_D: -0.037767 Loss_G: 0.007446 Loss_D_real: -0.019590 Loss_D_fake 0.018177
[177/5000][440/535][17990] Loss_D: -0.039112 Loss_G: 0.033831 Loss_D_real: -0.033810 Loss_D_fake 0.005301
[177/5000][445/535][17991] Loss_D: -0.038792 Loss_G: 0.016608 Loss_D_real: -0.021860 Loss_D_fake 0.016933
[177/5000][450/535][17992] Loss_D: -0.038674 Loss_G: 0.043163 Loss_D_real: -0.039535 Loss_D_fake -0.000861
[177/5000][455/535][17993] Loss_D: -0.038334 Loss_G: 0.022178 Loss_D_real: -0.024821 Loss_D_fake 0.013513
[177/5000][460/535][17994] Loss_D: -0.038874 Loss_G: 0.039617 Loss_D_real: -0.039868 Loss_D_fake -0.000994
[177/5000][465/535][17995] Loss_D: -0.038683 Loss_G: -0.006812 Loss_D_real: -0.001313 Loss_D_fake 0.037370
[177/5000][470/535][17996] Loss_D: -0.037252 Loss_G: 0.027716 Loss_D_real: -0.032557 Loss_D_fake 0.004695
[177/5000][475/535][17997] Loss_D: -0.039880 Loss_G: 0.027752 Loss_D_real: -0.021901 Loss_D_fake 0.017979
[177/5000][480/535][17998] Loss_D: -0.038095 Loss_G: 0.020360 Loss_D_real: -0.020839 Loss_D_fake 0.017256
[177/5000][485/535][17999] Loss_D: -0.037908 Loss_G: 0.030121 Loss_D_real: -0.029910 Loss_D_fake 0.007998
[177/5000][490/535][18000] Loss_D: -0.037595 Loss_G: -0.010692 Loss_D_real: 0.004587 Loss_D_fake 0.042182
[177/5000][535/535][18001] Loss_D: -0.039702 Loss_G: 0.004703 Loss_D_real: 0.000272 Loss_D_fake 0.039974
[178/5000][5/535][18002] Loss_D: -0.038267 Loss_G: 0.028246 Loss_D_real: -0.029981 Loss_D_fake 0.008286
[178/5000][10/535][18003] Loss_D: -0.038161 Loss_G: -0.001722 Loss_D_real: -0.011969 Loss_D_fake 0.026192
[178/5000][15/535][18004] Loss_D: -0.036651 Loss_G: 0.028634 Loss_D_real: -0.034762 Loss_D_fake 0.001889
[178/5000][20/535][18005] Loss_D: -0.039786 Loss_G: 0.009321 Loss_D_real: -0.020664 Loss_D_fake 0.019122
[178/5000][25/535][18006] Loss_D: -0.039852 Loss_G: 0.040742 Loss_D_real: -0.035971 Loss_D_fake 0.003881
[178/5000][30/535][18007] Loss_D: -0.038328 Loss_G: -0.012202 Loss_D_real: 0.004451 Loss_D_fake 0.042779
[178/5000][35/535][18008] Loss_D: -0.037946 Loss_G: 0.026593 Loss_D_real: -0.021642 Loss_D_fake 0.016304
[178/5000][40/535][18009] Loss_D: -0.038224 Loss_G: 0.025619 Loss_D_real: -0.025354 Loss_D_fake 0.012870
[178/5000][45/535][18010] Loss_D: -0.036687 Loss_G: 0.015810 Loss_D_real: -0.018225 Loss_D_fake 0.018462
[178/5000][50/535][18011] Loss_D: -0.039498 Loss_G: 0.014717 Loss_D_real: -0.023150 Loss_D_fake 0.016347
[178/5000][55/535][18012] Loss_D: -0.038537 Loss_G: 0.035835 Loss_D_real: -0.038323 Loss_D_fake 0.000214
[178/5000][60/535][18013] Loss_D: -0.037473 Loss_G: -0.011897 Loss_D_real: -0.011476 Loss_D_fake 0.025997
[178/5000][65/535][18014] Loss_D: -0.036401 Loss_G: 0.038930 Loss_D_real: -0.035012 Loss_D_fake 0.001389
[178/5000][70/535][18015] Loss_D: -0.038009 Loss_G: -0.009580 Loss_D_real: -0.010598 Loss_D_fake 0.027410
[178/5000][75/535][18016] Loss_D: -0.038716 Loss_G: 0.038132 Loss_D_real: -0.026147 Loss_D_fake 0.012569
[178/5000][80/535][18017] Loss_D: -0.037429 Loss_G: 0.006017 Loss_D_real: -0.012086 Loss_D_fake 0.025343
[178/5000][85/535][18018] Loss_D: -0.038705 Loss_G: 0.034548 Loss_D_real: -0.036096 Loss_D_fake 0.002609
[178/5000][90/535][18019] Loss_D: -0.039048 Loss_G: 0.022996 Loss_D_real: -0.029133 Loss_D_fake 0.009915
[178/5000][95/535][18020] Loss_D: -0.039715 Loss_G: -0.008689 Loss_D_real: -0.013115 Loss_D_fake 0.026600
[178/5000][100/535][18021] Loss_D: -0.036395 Loss_G: 0.041560 Loss_D_real: -0.044667 Loss_D_fake -0.008271
[178/5000][105/535][18022] Loss_D: -0.037650 Loss_G: -0.015603 Loss_D_real: 0.000140 Loss_D_fake 0.037790
[178/5000][110/535][18023] Loss_D: -0.038695 Loss_G: 0.030339 Loss_D_real: -0.030582 Loss_D_fake 0.008113
[178/5000][115/535][18024] Loss_D: -0.039614 Loss_G: 0.007507 Loss_D_real: -0.022448 Loss_D_fake 0.017166
[178/5000][120/535][18025] Loss_D: -0.039681 Loss_G: 0.026807 Loss_D_real: -0.023480 Loss_D_fake 0.016201
[178/5000][125/535][18026] Loss_D: -0.039559 Loss_G: 0.007800 Loss_D_real: -0.011513 Loss_D_fake 0.028046
[178/5000][130/535][18027] Loss_D: -0.037715 Loss_G: 0.043105 Loss_D_real: -0.041847 Loss_D_fake -0.004132
[178/5000][135/535][18028] Loss_D: -0.040377 Loss_G: 0.012062 Loss_D_real: -0.018817 Loss_D_fake 0.021560
[178/5000][140/535][18029] Loss_D: -0.037707 Loss_G: 0.015838 Loss_D_real: -0.026901 Loss_D_fake 0.010806
[178/5000][145/535][18030] Loss_D: -0.038269 Loss_G: 0.033711 Loss_D_real: -0.037459 Loss_D_fake 0.000810
[178/5000][150/535][18031] Loss_D: -0.038508 Loss_G: 0.038352 Loss_D_real: -0.045698 Loss_D_fake -0.007190
[178/5000][155/535][18032] Loss_D: -0.039238 Loss_G: -0.000996 Loss_D_real: -0.000708 Loss_D_fake 0.038529
[178/5000][160/535][18033] Loss_D: -0.036770 Loss_G: 0.034512 Loss_D_real: -0.042268 Loss_D_fake -0.005498
[178/5000][165/535][18034] Loss_D: -0.037331 Loss_G: 0.013521 Loss_D_real: -0.021856 Loss_D_fake 0.015474
[178/5000][170/535][18035] Loss_D: -0.038945 Loss_G: 0.025264 Loss_D_real: -0.033041 Loss_D_fake 0.005904
[178/5000][175/535][18036] Loss_D: -0.039269 Loss_G: 0.013038 Loss_D_real: -0.024469 Loss_D_fake 0.014799
[178/5000][180/535][18037] Loss_D: -0.039397 Loss_G: 0.031143 Loss_D_real: -0.034504 Loss_D_fake 0.004893
[178/5000][185/535][18038] Loss_D: -0.038183 Loss_G: -0.006483 Loss_D_real: -0.007292 Loss_D_fake 0.030891
[178/5000][190/535][18039] Loss_D: -0.037278 Loss_G: 0.010634 Loss_D_real: -0.022158 Loss_D_fake 0.015121
[178/5000][195/535][18040] Loss_D: -0.036503 Loss_G: 0.037022 Loss_D_real: -0.035477 Loss_D_fake 0.001026
[178/5000][200/535][18041] Loss_D: -0.037602 Loss_G: 0.010489 Loss_D_real: -0.017522 Loss_D_fake 0.020080
[178/5000][205/535][18042] Loss_D: -0.037829 Loss_G: 0.016416 Loss_D_real: -0.016370 Loss_D_fake 0.021459
[178/5000][210/535][18043] Loss_D: -0.039903 Loss_G: 0.012883 Loss_D_real: -0.024639 Loss_D_fake 0.015264
[178/5000][215/535][18044] Loss_D: -0.037562 Loss_G: 0.032749 Loss_D_real: -0.035468 Loss_D_fake 0.002094
[178/5000][220/535][18045] Loss_D: -0.039594 Loss_G: 0.007095 Loss_D_real: -0.014016 Loss_D_fake 0.025578
[178/5000][225/535][18046] Loss_D: -0.040586 Loss_G: 0.024807 Loss_D_real: -0.021694 Loss_D_fake 0.018892
[178/5000][230/535][18047] Loss_D: -0.037460 Loss_G: 0.047033 Loss_D_real: -0.043059 Loss_D_fake -0.005599
[178/5000][235/535][18048] Loss_D: -0.037818 Loss_G: -0.000314 Loss_D_real: -0.003046 Loss_D_fake 0.034772
[178/5000][240/535][18049] Loss_D: -0.036337 Loss_G: 0.032047 Loss_D_real: -0.031890 Loss_D_fake 0.004447
[178/5000][245/535][18050] Loss_D: -0.038573 Loss_G: 0.005620 Loss_D_real: -0.016758 Loss_D_fake 0.021815
[178/5000][250/535][18051] Loss_D: -0.038661 Loss_G: 0.017027 Loss_D_real: -0.027292 Loss_D_fake 0.011369
[178/5000][255/535][18052] Loss_D: -0.038648 Loss_G: 0.036993 Loss_D_real: -0.039413 Loss_D_fake -0.000765
[178/5000][260/535][18053] Loss_D: -0.038429 Loss_G: -0.006440 Loss_D_real: -0.008000 Loss_D_fake 0.030429
[178/5000][265/535][18054] Loss_D: -0.038062 Loss_G: 0.025158 Loss_D_real: -0.031010 Loss_D_fake 0.007053
[178/5000][270/535][18055] Loss_D: -0.038219 Loss_G: 0.017486 Loss_D_real: -0.026001 Loss_D_fake 0.012219
[178/5000][275/535][18056] Loss_D: -0.041362 Loss_G: 0.014308 Loss_D_real: -0.020665 Loss_D_fake 0.020697
[178/5000][280/535][18057] Loss_D: -0.040393 Loss_G: 0.005992 Loss_D_real: -0.024880 Loss_D_fake 0.015514
[178/5000][285/535][18058] Loss_D: -0.035801 Loss_G: 0.040161 Loss_D_real: -0.045728 Loss_D_fake -0.009927
[178/5000][290/535][18059] Loss_D: -0.037320 Loss_G: -0.013532 Loss_D_real: -0.000010 Loss_D_fake 0.037310
[178/5000][295/535][18060] Loss_D: -0.036678 Loss_G: 0.018897 Loss_D_real: -0.019521 Loss_D_fake 0.017157
[178/5000][300/535][18061] Loss_D: -0.036062 Loss_G: 0.008765 Loss_D_real: -0.023595 Loss_D_fake 0.012467
[178/5000][305/535][18062] Loss_D: -0.037002 Loss_G: 0.017865 Loss_D_real: -0.028198 Loss_D_fake 0.008804
[178/5000][310/535][18063] Loss_D: -0.036334 Loss_G: 0.038639 Loss_D_real: -0.030307 Loss_D_fake 0.006026
[178/5000][315/535][18064] Loss_D: -0.037002 Loss_G: 0.024108 Loss_D_real: -0.030840 Loss_D_fake 0.006162
[178/5000][320/535][18065] Loss_D: -0.037255 Loss_G: 0.028717 Loss_D_real: -0.028583 Loss_D_fake 0.008673
[178/5000][325/535][18066] Loss_D: -0.037981 Loss_G: 0.036464 Loss_D_real: -0.033435 Loss_D_fake 0.004546
[178/5000][330/535][18067] Loss_D: -0.038200 Loss_G: 0.003858 Loss_D_real: -0.013396 Loss_D_fake 0.024804
[178/5000][335/535][18068] Loss_D: -0.038398 Loss_G: 0.014116 Loss_D_real: -0.021665 Loss_D_fake 0.016732
[178/5000][340/535][18069] Loss_D: -0.040103 Loss_G: 0.026622 Loss_D_real: -0.037343 Loss_D_fake 0.002760
[178/5000][345/535][18070] Loss_D: -0.037593 Loss_G: 0.044701 Loss_D_real: -0.048140 Loss_D_fake -0.010547
[178/5000][350/535][18071] Loss_D: -0.038456 Loss_G: 0.040349 Loss_D_real: -0.029714 Loss_D_fake 0.008742
[178/5000][355/535][18072] Loss_D: -0.038122 Loss_G: 0.012798 Loss_D_real: -0.016450 Loss_D_fake 0.021672
[178/5000][360/535][18073] Loss_D: -0.035318 Loss_G: 0.048876 Loss_D_real: -0.044220 Loss_D_fake -0.008902
[178/5000][365/535][18074] Loss_D: -0.038147 Loss_G: -0.004414 Loss_D_real: -0.010827 Loss_D_fake 0.027320
[178/5000][370/535][18075] Loss_D: -0.036371 Loss_G: 0.033712 Loss_D_real: -0.034713 Loss_D_fake 0.001658
[178/5000][375/535][18076] Loss_D: -0.037435 Loss_G: 0.014635 Loss_D_real: -0.029863 Loss_D_fake 0.007572
[178/5000][380/535][18077] Loss_D: -0.036545 Loss_G: 0.027173 Loss_D_real: -0.029094 Loss_D_fake 0.007451
[178/5000][385/535][18078] Loss_D: -0.038378 Loss_G: 0.005534 Loss_D_real: -0.014583 Loss_D_fake 0.023796
[178/5000][390/535][18079] Loss_D: -0.034363 Loss_G: 0.040967 Loss_D_real: -0.043940 Loss_D_fake -0.009577
[178/5000][395/535][18080] Loss_D: -0.036480 Loss_G: 0.010959 Loss_D_real: -0.022736 Loss_D_fake 0.013744
[178/5000][400/535][18081] Loss_D: -0.037545 Loss_G: 0.025256 Loss_D_real: -0.027629 Loss_D_fake 0.009916
[178/5000][405/535][18082] Loss_D: -0.038040 Loss_G: -0.002116 Loss_D_real: -0.018911 Loss_D_fake 0.019128
[178/5000][410/535][18083] Loss_D: -0.039213 Loss_G: 0.016394 Loss_D_real: -0.021251 Loss_D_fake 0.017962
[178/5000][415/535][18084] Loss_D: -0.037394 Loss_G: 0.008668 Loss_D_real: -0.019865 Loss_D_fake 0.017529
[178/5000][420/535][18085] Loss_D: -0.039825 Loss_G: 0.026552 Loss_D_real: -0.025278 Loss_D_fake 0.014547
[178/5000][425/535][18086] Loss_D: -0.039190 Loss_G: 0.005076 Loss_D_real: -0.010505 Loss_D_fake 0.028685
[178/5000][430/535][18087] Loss_D: -0.035708 Loss_G: 0.040095 Loss_D_real: -0.040054 Loss_D_fake -0.004346
[178/5000][435/535][18088] Loss_D: -0.038496 Loss_G: 0.000848 Loss_D_real: -0.010037 Loss_D_fake 0.028459
[178/5000][440/535][18089] Loss_D: -0.038806 Loss_G: 0.031782 Loss_D_real: -0.032351 Loss_D_fake 0.006455
[178/5000][445/535][18090] Loss_D: -0.038112 Loss_G: 0.047531 Loss_D_real: -0.046050 Loss_D_fake -0.007938
[178/5000][450/535][18091] Loss_D: -0.037322 Loss_G: -0.007362 Loss_D_real: -0.003676 Loss_D_fake 0.033646
[178/5000][455/535][18092] Loss_D: -0.037706 Loss_G: 0.033776 Loss_D_real: -0.034078 Loss_D_fake 0.003628
[178/5000][460/535][18093] Loss_D: -0.038709 Loss_G: 0.001478 Loss_D_real: -0.020347 Loss_D_fake 0.018361
[178/5000][465/535][18094] Loss_D: -0.038837 Loss_G: 0.045624 Loss_D_real: -0.041485 Loss_D_fake -0.002648
[178/5000][470/535][18095] Loss_D: -0.038458 Loss_G: 0.022022 Loss_D_real: -0.023225 Loss_D_fake 0.015233
[178/5000][475/535][18096] Loss_D: -0.039332 Loss_G: 0.009785 Loss_D_real: -0.022100 Loss_D_fake 0.017233
[178/5000][480/535][18097] Loss_D: -0.037644 Loss_G: 0.042048 Loss_D_real: -0.044676 Loss_D_fake -0.007033
[178/5000][485/535][18098] Loss_D: -0.039719 Loss_G: 0.010670 Loss_D_real: -0.021803 Loss_D_fake 0.017916
[178/5000][490/535][18099] Loss_D: -0.041622 Loss_G: 0.014680 Loss_D_real: -0.021700 Loss_D_fake 0.019922
[178/5000][495/535][18100] Loss_D: -0.037941 Loss_G: 0.019434 Loss_D_real: -0.028707 Loss_D_fake 0.009235
[178/5000][500/535][18101] Loss_D: -0.039015 Loss_G: 0.010443 Loss_D_real: -0.022094 Loss_D_fake 0.016921
[178/5000][505/535][18102] Loss_D: -0.038659 Loss_G: 0.032725 Loss_D_real: -0.038683 Loss_D_fake -0.000024
[178/5000][510/535][18103] Loss_D: -0.039498 Loss_G: -0.002884 Loss_D_real: -0.008336 Loss_D_fake 0.031162
[178/5000][515/535][18104] Loss_D: -0.038998 Loss_G: -0.006587 Loss_D_real: -0.006966 Loss_D_fake 0.032032
[178/5000][520/535][18105] Loss_D: -0.037106 Loss_G: 0.033797 Loss_D_real: -0.034259 Loss_D_fake 0.002847
[178/5000][525/535][18106] Loss_D: -0.038892 Loss_G: 0.011427 Loss_D_real: -0.021738 Loss_D_fake 0.017154
[178/5000][530/535][18107] Loss_D: -0.036556 Loss_G: 0.038644 Loss_D_real: -0.040770 Loss_D_fake -0.004215
[178/5000][535/535][18108] Loss_D: -0.043481 Loss_G: -0.005145 Loss_D_real: -0.020584 Loss_D_fake 0.022897
[179/5000][5/535][18109] Loss_D: -0.036494 Loss_G: 0.021399 Loss_D_real: -0.025169 Loss_D_fake 0.011325
[179/5000][10/535][18110] Loss_D: -0.037217 Loss_G: 0.019728 Loss_D_real: -0.023034 Loss_D_fake 0.014183
[179/5000][15/535][18111] Loss_D: -0.038313 Loss_G: 0.020226 Loss_D_real: -0.027542 Loss_D_fake 0.010771
[179/5000][20/535][18112] Loss_D: -0.039393 Loss_G: 0.013048 Loss_D_real: -0.019059 Loss_D_fake 0.020334
[179/5000][25/535][18113] Loss_D: -0.038128 Loss_G: 0.040255 Loss_D_real: -0.038290 Loss_D_fake -0.000162
[179/5000][30/535][18114] Loss_D: -0.038569 Loss_G: 0.011582 Loss_D_real: -0.014616 Loss_D_fake 0.023953
[179/5000][35/535][18115] Loss_D: -0.037498 Loss_G: 0.008018 Loss_D_real: -0.019312 Loss_D_fake 0.018186
[179/5000][40/535][18116] Loss_D: -0.038019 Loss_G: 0.036004 Loss_D_real: -0.035675 Loss_D_fake 0.002344
[179/5000][45/535][18117] Loss_D: -0.039472 Loss_G: 0.006774 Loss_D_real: -0.013124 Loss_D_fake 0.026348
[179/5000][50/535][18118] Loss_D: -0.035358 Loss_G: 0.044798 Loss_D_real: -0.045462 Loss_D_fake -0.010104
[179/5000][55/535][18119] Loss_D: -0.035431 Loss_G: -0.004666 Loss_D_real: -0.008306 Loss_D_fake 0.027125
[179/5000][60/535][18120] Loss_D: -0.037216 Loss_G: 0.036002 Loss_D_real: -0.029437 Loss_D_fake 0.007779
[179/5000][65/535][18121] Loss_D: -0.035746 Loss_G: -0.006907 Loss_D_real: -0.007968 Loss_D_fake 0.027779
[179/5000][70/535][18122] Loss_D: -0.037979 Loss_G: 0.032764 Loss_D_real: -0.036306 Loss_D_fake 0.001673
[179/5000][75/535][18123] Loss_D: -0.038847 Loss_G: 0.011594 Loss_D_real: -0.021102 Loss_D_fake 0.017745
[179/5000][80/535][18124] Loss_D: -0.039106 Loss_G: 0.029872 Loss_D_real: -0.033568 Loss_D_fake 0.005538
[179/5000][85/535][18125] Loss_D: -0.038222 Loss_G: 0.016038 Loss_D_real: -0.023186 Loss_D_fake 0.015036
[179/5000][90/535][18126] Loss_D: -0.039370 Loss_G: 0.027535 Loss_D_real: -0.032368 Loss_D_fake 0.007002
[179/5000][95/535][18127] Loss_D: -0.039728 Loss_G: 0.021095 Loss_D_real: -0.023865 Loss_D_fake 0.015862
[179/5000][100/535][18128] Loss_D: -0.039446 Loss_G: 0.021741 Loss_D_real: -0.026357 Loss_D_fake 0.013088
[179/5000][105/535][18129] Loss_D: -0.039646 Loss_G: 0.034802 Loss_D_real: -0.027558 Loss_D_fake 0.012088
[179/5000][110/535][18130] Loss_D: -0.039625 Loss_G: -0.004518 Loss_D_real: -0.006038 Loss_D_fake 0.033587
[179/5000][115/535][18131] Loss_D: -0.037197 Loss_G: 0.041201 Loss_D_real: -0.042449 Loss_D_fake -0.005251
[179/5000][120/535][18132] Loss_D: -0.039381 Loss_G: 0.012690 Loss_D_real: -0.012661 Loss_D_fake 0.026721
[179/5000][125/535][18133] Loss_D: -0.038536 Loss_G: 0.034971 Loss_D_real: -0.032626 Loss_D_fake 0.005910
[179/5000][130/535][18134] Loss_D: -0.038382 Loss_G: 0.036382 Loss_D_real: -0.040983 Loss_D_fake -0.002601
[179/5000][135/535][18135] Loss_D: -0.038875 Loss_G: -0.005061 Loss_D_real: -0.009190 Loss_D_fake 0.029685
[179/5000][140/535][18136] Loss_D: -0.035841 Loss_G: 0.035904 Loss_D_real: -0.042460 Loss_D_fake -0.006619
[179/5000][145/535][18137] Loss_D: -0.039455 Loss_G: 0.019998 Loss_D_real: -0.025523 Loss_D_fake 0.013932
[179/5000][150/535][18138] Loss_D: -0.040756 Loss_G: 0.003481 Loss_D_real: -0.015139 Loss_D_fake 0.025617
[179/5000][155/535][18139] Loss_D: -0.036439 Loss_G: 0.039430 Loss_D_real: -0.038409 Loss_D_fake -0.001970
[179/5000][160/535][18140] Loss_D: -0.035898 Loss_G: -0.000672 Loss_D_real: -0.001999 Loss_D_fake 0.033899
[179/5000][165/535][18141] Loss_D: -0.038795 Loss_G: 0.021643 Loss_D_real: -0.021861 Loss_D_fake 0.016934
[179/5000][170/535][18142] Loss_D: -0.037280 Loss_G: 0.024725 Loss_D_real: -0.034665 Loss_D_fake 0.002616
[179/5000][175/535][18143] Loss_D: -0.035101 Loss_G: 0.042851 Loss_D_real: -0.045304 Loss_D_fake -0.010203
[179/5000][180/535][18144] Loss_D: -0.038027 Loss_G: -0.004343 Loss_D_real: -0.002835 Loss_D_fake 0.035192
[179/5000][185/535][18145] Loss_D: -0.037945 Loss_G: 0.026580 Loss_D_real: -0.024334 Loss_D_fake 0.013612
[179/5000][190/535][18146] Loss_D: -0.037880 Loss_G: 0.002642 Loss_D_real: -0.020479 Loss_D_fake 0.017401
[179/5000][195/535][18147] Loss_D: -0.038147 Loss_G: 0.022620 Loss_D_real: -0.022364 Loss_D_fake 0.015783
[179/5000][200/535][18148] Loss_D: -0.039426 Loss_G: 0.023421 Loss_D_real: -0.024014 Loss_D_fake 0.015412
[179/5000][205/535][18149] Loss_D: -0.039568 Loss_G: 0.020082 Loss_D_real: -0.022743 Loss_D_fake 0.016825
[179/5000][210/535][18150] Loss_D: -0.038998 Loss_G: 0.022322 Loss_D_real: -0.025053 Loss_D_fake 0.013945
[179/5000][215/535][18151] Loss_D: -0.038385 Loss_G: -0.005351 Loss_D_real: -0.007962 Loss_D_fake 0.030423
[179/5000][220/535][18152] Loss_D: -0.036118 Loss_G: 0.042160 Loss_D_real: -0.042959 Loss_D_fake -0.006842
[179/5000][225/535][18153] Loss_D: -0.039881 Loss_G: 0.005791 Loss_D_real: -0.014177 Loss_D_fake 0.025704
[179/5000][230/535][18154] Loss_D: -0.037483 Loss_G: 0.043049 Loss_D_real: -0.047323 Loss_D_fake -0.009840
[179/5000][235/535][18155] Loss_D: -0.038939 Loss_G: 0.015815 Loss_D_real: -0.020863 Loss_D_fake 0.018076
[179/5000][240/535][18156] Loss_D: -0.037173 Loss_G: 0.001458 Loss_D_real: -0.017679 Loss_D_fake 0.019494
[179/5000][245/535][18157] Loss_D: -0.039796 Loss_G: 0.022229 Loss_D_real: -0.030010 Loss_D_fake 0.009786
[179/5000][250/535][18158] Loss_D: -0.039219 Loss_G: 0.048768 Loss_D_real: -0.035912 Loss_D_fake 0.003307
[179/5000][255/535][18159] Loss_D: -0.038475 Loss_G: 0.006050 Loss_D_real: -0.012319 Loss_D_fake 0.026156
[179/5000][260/535][18160] Loss_D: -0.039514 Loss_G: 0.027825 Loss_D_real: -0.029375 Loss_D_fake 0.010140
[179/5000][265/535][18161] Loss_D: -0.038659 Loss_G: 0.029565 Loss_D_real: -0.030366 Loss_D_fake 0.008294
[179/5000][270/535][18162] Loss_D: -0.039662 Loss_G: -0.006917 Loss_D_real: -0.003324 Loss_D_fake 0.036338
[179/5000][275/535][18163] Loss_D: -0.036247 Loss_G: 0.034924 Loss_D_real: -0.044798 Loss_D_fake -0.008551
[179/5000][280/535][18164] Loss_D: -0.039069 Loss_G: 0.017996 Loss_D_real: -0.025859 Loss_D_fake 0.013209
[179/5000][285/535][18165] Loss_D: -0.038593 Loss_G: 0.028219 Loss_D_real: -0.035671 Loss_D_fake 0.002922
[179/5000][290/535][18166] Loss_D: -0.038226 Loss_G: 0.026204 Loss_D_real: -0.029960 Loss_D_fake 0.008267
[179/5000][295/535][18167] Loss_D: -0.038760 Loss_G: -0.005724 Loss_D_real: -0.014106 Loss_D_fake 0.024654
[179/5000][300/535][18168] Loss_D: -0.038329 Loss_G: 0.017931 Loss_D_real: -0.030567 Loss_D_fake 0.007763
[179/5000][305/535][18169] Loss_D: -0.038859 Loss_G: 0.026994 Loss_D_real: -0.031415 Loss_D_fake 0.007444
[179/5000][310/535][18170] Loss_D: -0.038190 Loss_G: 0.009981 Loss_D_real: -0.024114 Loss_D_fake 0.014076
[179/5000][315/535][18171] Loss_D: -0.037913 Loss_G: 0.025422 Loss_D_real: -0.027470 Loss_D_fake 0.010442
[179/5000][320/535][18172] Loss_D: -0.039513 Loss_G: 0.006552 Loss_D_real: -0.022175 Loss_D_fake 0.017337
[179/5000][325/535][18173] Loss_D: -0.039104 Loss_G: 0.029588 Loss_D_real: -0.029147 Loss_D_fake 0.009957
[179/5000][330/535][18174] Loss_D: -0.036437 Loss_G: -0.003026 Loss_D_real: -0.002204 Loss_D_fake 0.034233
[179/5000][335/535][18175] Loss_D: -0.036508 Loss_G: 0.025805 Loss_D_real: -0.033259 Loss_D_fake 0.003249
[179/5000][340/535][18176] Loss_D: -0.037932 Loss_G: 0.035847 Loss_D_real: -0.031753 Loss_D_fake 0.006179
[179/5000][345/535][18177] Loss_D: -0.037437 Loss_G: -0.006801 Loss_D_real: -0.013829 Loss_D_fake 0.023608
[179/5000][350/535][18178] Loss_D: -0.036654 Loss_G: 0.032102 Loss_D_real: -0.035649 Loss_D_fake 0.001005
[179/5000][355/535][18179] Loss_D: -0.037636 Loss_G: 0.035471 Loss_D_real: -0.034804 Loss_D_fake 0.002832
[179/5000][360/535][18180] Loss_D: -0.038787 Loss_G: 0.013716 Loss_D_real: -0.018449 Loss_D_fake 0.020339
[179/5000][365/535][18181] Loss_D: -0.038276 Loss_G: 0.024257 Loss_D_real: -0.026404 Loss_D_fake 0.011872
[179/5000][370/535][18182] Loss_D: -0.036502 Loss_G: 0.015648 Loss_D_real: -0.020213 Loss_D_fake 0.016289
[179/5000][375/535][18183] Loss_D: -0.038117 Loss_G: 0.026754 Loss_D_real: -0.040314 Loss_D_fake -0.002197
[179/5000][380/535][18184] Loss_D: -0.036259 Loss_G: 0.036808 Loss_D_real: -0.036799 Loss_D_fake -0.000541
[179/5000][385/535][18185] Loss_D: -0.037229 Loss_G: -0.010093 Loss_D_real: -0.010034 Loss_D_fake 0.027196
[179/5000][390/535][18186] Loss_D: -0.036457 Loss_G: 0.027140 Loss_D_real: -0.037099 Loss_D_fake -0.000643
[179/5000][395/535][18187] Loss_D: -0.037475 Loss_G: -0.000663 Loss_D_real: -0.020415 Loss_D_fake 0.017060
[179/5000][400/535][18188] Loss_D: -0.035925 Loss_G: 0.041163 Loss_D_real: -0.038141 Loss_D_fake -0.002216
[179/5000][405/535][18189] Loss_D: -0.037621 Loss_G: 0.001062 Loss_D_real: -0.012658 Loss_D_fake 0.024964
[179/5000][410/535][18190] Loss_D: -0.036058 Loss_G: 0.037156 Loss_D_real: -0.044820 Loss_D_fake -0.008762
[179/5000][415/535][18191] Loss_D: -0.038981 Loss_G: 0.017292 Loss_D_real: -0.022795 Loss_D_fake 0.016186
[179/5000][420/535][18192] Loss_D: -0.039636 Loss_G: 0.025300 Loss_D_real: -0.031449 Loss_D_fake 0.008187
[179/5000][425/535][18193] Loss_D: -0.039317 Loss_G: 0.017177 Loss_D_real: -0.022581 Loss_D_fake 0.016736
[179/5000][430/535][18194] Loss_D: -0.037418 Loss_G: 0.001033 Loss_D_real: -0.006228 Loss_D_fake 0.031190
[179/5000][435/535][18195] Loss_D: -0.039763 Loss_G: 0.026052 Loss_D_real: -0.031625 Loss_D_fake 0.008138
[179/5000][440/535][18196] Loss_D: -0.036038 Loss_G: 0.023790 Loss_D_real: -0.022445 Loss_D_fake 0.013593
[179/5000][445/535][18197] Loss_D: -0.039935 Loss_G: 0.013108 Loss_D_real: -0.016339 Loss_D_fake 0.023596
[179/5000][450/535][18198] Loss_D: -0.037294 Loss_G: 0.038559 Loss_D_real: -0.031610 Loss_D_fake 0.005684
[179/5000][455/535][18199] Loss_D: -0.038335 Loss_G: -0.011783 Loss_D_real: -0.011750 Loss_D_fake 0.026584
[179/5000][460/535][18200] Loss_D: -0.035982 Loss_G: 0.043930 Loss_D_real: -0.044654 Loss_D_fake -0.008672
[179/5000][465/535][18201] Loss_D: -0.038709 Loss_G: 0.021779 Loss_D_real: -0.029052 Loss_D_fake 0.009657
[179/5000][470/535][18202] Loss_D: -0.040170 Loss_G: 0.002920 Loss_D_real: -0.022066 Loss_D_fake 0.018103
[179/5000][475/535][18203] Loss_D: -0.038086 Loss_G: 0.041628 Loss_D_real: -0.043688 Loss_D_fake -0.005602
[179/5000][480/535][18204] Loss_D: -0.036616 Loss_G: -0.003378 Loss_D_real: -0.006250 Loss_D_fake 0.030366
[179/5000][485/535][18205] Loss_D: -0.036453 Loss_G: 0.043068 Loss_D_real: -0.041771 Loss_D_fake -0.005318
[179/5000][490/535][18206] Loss_D: -0.035999 Loss_G: 0.001736 Loss_D_real: -0.001729 Loss_D_fake 0.034270
[179/5000][495/535][18207] Loss_D: -0.038328 Loss_G: 0.021554 Loss_D_real: -0.029884 Loss_D_fake 0.008444
[179/5000][500/535][18208] Loss_D: -0.038122 Loss_G: 0.035997 Loss_D_real: -0.033037 Loss_D_fake 0.005086
[179/5000][505/535][18209] Loss_D: -0.039410 Loss_G: 0.042623 Loss_D_real: -0.041268 Loss_D_fake -0.001857
[179/5000][510/535][18210] Loss_D: -0.037494 Loss_G: 0.023745 Loss_D_real: -0.022240 Loss_D_fake 0.015254
[179/5000][515/535][18211] Loss_D: -0.039814 Loss_G: 0.017228 Loss_D_real: -0.025110 Loss_D_fake 0.014704
[179/5000][520/535][18212] Loss_D: -0.038539 Loss_G: 0.032402 Loss_D_real: -0.036945 Loss_D_fake 0.001594
[179/5000][525/535][18213] Loss_D: -0.038906 Loss_G: -0.009168 Loss_D_real: -0.012458 Loss_D_fake 0.026448
[179/5000][530/535][18214] Loss_D: -0.036537 Loss_G: 0.035266 Loss_D_real: -0.037609 Loss_D_fake -0.001072
[179/5000][535/535][18215] Loss_D: -0.041811 Loss_G: 0.013803 Loss_D_real: -0.019504 Loss_D_fake 0.022307
[180/5000][5/535][18216] Loss_D: -0.038182 Loss_G: 0.038209 Loss_D_real: -0.039149 Loss_D_fake -0.000968
[180/5000][10/535][18217] Loss_D: -0.038576 Loss_G: 0.004955 Loss_D_real: -0.018852 Loss_D_fake 0.019724
[180/5000][15/535][18218] Loss_D: -0.038687 Loss_G: 0.039452 Loss_D_real: -0.029680 Loss_D_fake 0.009007
[180/5000][20/535][18219] Loss_D: -0.038787 Loss_G: 0.009745 Loss_D_real: -0.020440 Loss_D_fake 0.018347
[180/5000][25/535][18220] Loss_D: -0.038136 Loss_G: 0.024802 Loss_D_real: -0.026786 Loss_D_fake 0.011351
[180/5000][30/535][18221] Loss_D: -0.038299 Loss_G: 0.016255 Loss_D_real: -0.023207 Loss_D_fake 0.015091
[180/5000][35/535][18222] Loss_D: -0.037342 Loss_G: 0.037737 Loss_D_real: -0.036667 Loss_D_fake 0.000675
[180/5000][40/535][18223] Loss_D: -0.037242 Loss_G: 0.014577 Loss_D_real: -0.019564 Loss_D_fake 0.017678
[180/5000][45/535][18224] Loss_D: -0.036111 Loss_G: 0.031976 Loss_D_real: -0.033088 Loss_D_fake 0.003023
[180/5000][50/535][18225] Loss_D: -0.038292 Loss_G: -0.002698 Loss_D_real: -0.010709 Loss_D_fake 0.027583
[180/5000][55/535][18226] Loss_D: -0.036247 Loss_G: 0.007737 Loss_D_real: -0.018793 Loss_D_fake 0.017454
[180/5000][60/535][18227] Loss_D: -0.038912 Loss_G: 0.007193 Loss_D_real: -0.019055 Loss_D_fake 0.019857
[180/5000][65/535][18228] Loss_D: -0.038419 Loss_G: 0.021193 Loss_D_real: -0.031178 Loss_D_fake 0.007241
[180/5000][70/535][18229] Loss_D: -0.039830 Loss_G: 0.009955 Loss_D_real: -0.016584 Loss_D_fake 0.023246
[180/5000][75/535][18230] Loss_D: -0.036094 Loss_G: 0.019950 Loss_D_real: -0.024949 Loss_D_fake 0.011145
[180/5000][80/535][18231] Loss_D: -0.039371 Loss_G: 0.010921 Loss_D_real: -0.022715 Loss_D_fake 0.016656
[180/5000][85/535][18232] Loss_D: -0.039433 Loss_G: 0.032313 Loss_D_real: -0.036873 Loss_D_fake 0.002560
[180/5000][90/535][18233] Loss_D: -0.038924 Loss_G: -0.005483 Loss_D_real: -0.004073 Loss_D_fake 0.034851
[180/5000][95/535][18234] Loss_D: -0.037142 Loss_G: 0.025907 Loss_D_real: -0.030285 Loss_D_fake 0.006856
[180/5000][100/535][18235] Loss_D: -0.038948 Loss_G: 0.002273 Loss_D_real: -0.014645 Loss_D_fake 0.024303
[180/5000][105/535][18236] Loss_D: -0.037779 Loss_G: 0.033657 Loss_D_real: -0.034245 Loss_D_fake 0.003534
[180/5000][110/535][18237] Loss_D: -0.037326 Loss_G: 0.001484 Loss_D_real: -0.015840 Loss_D_fake 0.021486
[180/5000][115/535][18238] Loss_D: -0.037038 Loss_G: 0.038921 Loss_D_real: -0.038199 Loss_D_fake -0.001161
[180/5000][120/535][18239] Loss_D: -0.035683 Loss_G: 0.002582 Loss_D_real: -0.010230 Loss_D_fake 0.025453
[180/5000][125/535][18240] Loss_D: -0.036692 Loss_G: 0.044413 Loss_D_real: -0.039615 Loss_D_fake -0.002924
[180/5000][130/535][18241] Loss_D: -0.038735 Loss_G: 0.009551 Loss_D_real: -0.015571 Loss_D_fake 0.023164
[180/5000][135/535][18242] Loss_D: -0.038500 Loss_G: 0.006780 Loss_D_real: -0.019484 Loss_D_fake 0.019016
[180/5000][140/535][18243] Loss_D: -0.036965 Loss_G: 0.042086 Loss_D_real: -0.043162 Loss_D_fake -0.006196
[180/5000][145/535][18244] Loss_D: -0.037682 Loss_G: 0.000812 Loss_D_real: -0.015087 Loss_D_fake 0.022595
[180/5000][150/535][18245] Loss_D: -0.037423 Loss_G: 0.021478 Loss_D_real: -0.022244 Loss_D_fake 0.015179
[180/5000][155/535][18246] Loss_D: -0.036435 Loss_G: 0.042529 Loss_D_real: -0.037441 Loss_D_fake -0.001007
[180/5000][160/535][18247] Loss_D: -0.037254 Loss_G: -0.000240 Loss_D_real: -0.008798 Loss_D_fake 0.028457
[180/5000][165/535][18248] Loss_D: -0.036327 Loss_G: 0.024119 Loss_D_real: -0.026728 Loss_D_fake 0.009599
[180/5000][170/535][18249] Loss_D: -0.039373 Loss_G: 0.022943 Loss_D_real: -0.028335 Loss_D_fake 0.011038
[180/5000][175/535][18250] Loss_D: -0.037624 Loss_G: 0.026828 Loss_D_real: -0.026984 Loss_D_fake 0.010640
[180/5000][180/535][18251] Loss_D: -0.035969 Loss_G: 0.046262 Loss_D_real: -0.047691 Loss_D_fake -0.011722
[180/5000][185/535][18252] Loss_D: -0.039790 Loss_G: 0.009222 Loss_D_real: -0.021508 Loss_D_fake 0.018282
[180/5000][190/535][18253] Loss_D: -0.038392 Loss_G: 0.013360 Loss_D_real: -0.020665 Loss_D_fake 0.017727
[180/5000][195/535][18254] Loss_D: -0.034461 Loss_G: 0.043272 Loss_D_real: -0.054153 Loss_D_fake -0.019692
[180/5000][200/535][18255] Loss_D: -0.039858 Loss_G: 0.031177 Loss_D_real: -0.032505 Loss_D_fake 0.007353
[180/5000][205/535][18256] Loss_D: -0.039046 Loss_G: 0.000135 Loss_D_real: -0.013143 Loss_D_fake 0.025903
[180/5000][210/535][18257] Loss_D: -0.035361 Loss_G: 0.042898 Loss_D_real: -0.049753 Loss_D_fake -0.014392
[180/5000][215/535][18258] Loss_D: -0.039116 Loss_G: 0.020118 Loss_D_real: -0.017582 Loss_D_fake 0.021534
[180/5000][220/535][18259] Loss_D: -0.038604 Loss_G: 0.000005 Loss_D_real: -0.011389 Loss_D_fake 0.027215
[180/5000][225/535][18260] Loss_D: -0.037569 Loss_G: 0.037349 Loss_D_real: -0.043142 Loss_D_fake -0.005573
[180/5000][230/535][18261] Loss_D: -0.038958 Loss_G: 0.010571 Loss_D_real: -0.017389 Loss_D_fake 0.021569
[180/5000][235/535][18262] Loss_D: -0.038612 Loss_G: 0.009766 Loss_D_real: -0.016521 Loss_D_fake 0.022091
[180/5000][240/535][18263] Loss_D: -0.039524 Loss_G: 0.017407 Loss_D_real: -0.018633 Loss_D_fake 0.020891
[180/5000][245/535][18264] Loss_D: -0.038251 Loss_G: 0.004412 Loss_D_real: -0.014758 Loss_D_fake 0.023493
[180/5000][250/535][18265] Loss_D: -0.036429 Loss_G: 0.020780 Loss_D_real: -0.028717 Loss_D_fake 0.007712
[180/5000][255/535][18266] Loss_D: -0.037892 Loss_G: -0.008259 Loss_D_real: -0.011642 Loss_D_fake 0.026249
[180/5000][260/535][18267] Loss_D: -0.038470 Loss_G: 0.031901 Loss_D_real: -0.042651 Loss_D_fake -0.004181
[180/5000][265/535][18268] Loss_D: -0.039900 Loss_G: 0.007673 Loss_D_real: -0.020156 Loss_D_fake 0.019744
[180/5000][270/535][18269] Loss_D: -0.037762 Loss_G: 0.028135 Loss_D_real: -0.029295 Loss_D_fake 0.008466
[180/5000][275/535][18270] Loss_D: -0.040524 Loss_G: 0.021701 Loss_D_real: -0.016707 Loss_D_fake 0.023817
[180/5000][280/535][18271] Loss_D: -0.037789 Loss_G: 0.002475 Loss_D_real: -0.012854 Loss_D_fake 0.024935
[180/5000][285/535][18272] Loss_D: -0.035553 Loss_G: 0.041249 Loss_D_real: -0.048100 Loss_D_fake -0.012547
[180/5000][290/535][18273] Loss_D: -0.039549 Loss_G: -0.004663 Loss_D_real: -0.009058 Loss_D_fake 0.030491
[180/5000][295/535][18274] Loss_D: -0.038777 Loss_G: 0.031775 Loss_D_real: -0.033973 Loss_D_fake 0.004804
[180/5000][300/535][18275] Loss_D: -0.038475 Loss_G: 0.001177 Loss_D_real: -0.016770 Loss_D_fake 0.021705
[180/5000][305/535][18276] Loss_D: -0.039244 Loss_G: 0.040189 Loss_D_real: -0.037300 Loss_D_fake 0.001944
[180/5000][310/535][18277] Loss_D: -0.038549 Loss_G: -0.009541 Loss_D_real: -0.000835 Loss_D_fake 0.037714
[180/5000][315/535][18278] Loss_D: -0.038800 Loss_G: 0.024466 Loss_D_real: -0.027530 Loss_D_fake 0.011270
[180/5000][320/535][18279] Loss_D: -0.038416 Loss_G: 0.003690 Loss_D_real: -0.016065 Loss_D_fake 0.022351
[180/5000][325/535][18280] Loss_D: -0.036601 Loss_G: 0.032453 Loss_D_real: -0.035720 Loss_D_fake 0.000881
[180/5000][330/535][18281] Loss_D: -0.035348 Loss_G: 0.006280 Loss_D_real: -0.006903 Loss_D_fake 0.028445
[180/5000][335/535][18282] Loss_D: -0.039690 Loss_G: 0.023004 Loss_D_real: -0.028922 Loss_D_fake 0.010767
[180/5000][340/535][18283] Loss_D: -0.037506 Loss_G: 0.025363 Loss_D_real: -0.033366 Loss_D_fake 0.004140
[180/5000][345/535][18284] Loss_D: -0.039276 Loss_G: 0.034357 Loss_D_real: -0.033947 Loss_D_fake 0.005329
[180/5000][350/535][18285] Loss_D: -0.038888 Loss_G: 0.007647 Loss_D_real: -0.017403 Loss_D_fake 0.021485
[180/5000][355/535][18286] Loss_D: -0.037507 Loss_G: 0.034343 Loss_D_real: -0.037390 Loss_D_fake 0.000118
[180/5000][360/535][18287] Loss_D: -0.038671 Loss_G: 0.009521 Loss_D_real: -0.013900 Loss_D_fake 0.024771
[180/5000][365/535][18288] Loss_D: -0.038608 Loss_G: 0.026949 Loss_D_real: -0.026093 Loss_D_fake 0.012515
[180/5000][370/535][18289] Loss_D: -0.038872 Loss_G: 0.009378 Loss_D_real: -0.014562 Loss_D_fake 0.024309
[180/5000][375/535][18290] Loss_D: -0.037225 Loss_G: 0.026216 Loss_D_real: -0.025291 Loss_D_fake 0.011934
[180/5000][380/535][18291] Loss_D: -0.037945 Loss_G: 0.009873 Loss_D_real: -0.017883 Loss_D_fake 0.020062
[180/5000][385/535][18292] Loss_D: -0.038258 Loss_G: 0.037189 Loss_D_real: -0.039987 Loss_D_fake -0.001729
[180/5000][390/535][18293] Loss_D: -0.038346 Loss_G: -0.013915 Loss_D_real: -0.006645 Loss_D_fake 0.031701
[180/5000][395/535][18294] Loss_D: -0.034015 Loss_G: 0.041697 Loss_D_real: -0.041611 Loss_D_fake -0.007595
[180/5000][400/535][18295] Loss_D: -0.035773 Loss_G: 0.014638 Loss_D_real: -0.021450 Loss_D_fake 0.014323
[180/5000][405/535][18296] Loss_D: -0.038298 Loss_G: 0.020244 Loss_D_real: -0.028212 Loss_D_fake 0.010087
[180/5000][410/535][18297] Loss_D: -0.038290 Loss_G: 0.000450 Loss_D_real: -0.011125 Loss_D_fake 0.027164
[180/5000][415/535][18298] Loss_D: -0.036921 Loss_G: 0.036442 Loss_D_real: -0.040655 Loss_D_fake -0.003733
[180/5000][420/535][18299] Loss_D: -0.038672 Loss_G: 0.022010 Loss_D_real: -0.025940 Loss_D_fake 0.012731
[180/5000][425/535][18300] Loss_D: -0.038536 Loss_G: 0.029689 Loss_D_real: -0.034665 Loss_D_fake 0.003871
[180/5000][430/535][18301] Loss_D: -0.038121 Loss_G: 0.002210 Loss_D_real: -0.010751 Loss_D_fake 0.027370
[180/5000][435/535][18302] Loss_D: -0.037994 Loss_G: 0.017482 Loss_D_real: -0.019732 Loss_D_fake 0.018263
[180/5000][440/535][18303] Loss_D: -0.037115 Loss_G: 0.037324 Loss_D_real: -0.038672 Loss_D_fake -0.001556
[180/5000][445/535][18304] Loss_D: -0.037852 Loss_G: 0.017947 Loss_D_real: -0.021671 Loss_D_fake 0.016181
[180/5000][450/535][18305] Loss_D: -0.037930 Loss_G: 0.053523 Loss_D_real: -0.040534 Loss_D_fake -0.002604
[180/5000][455/535][18306] Loss_D: -0.036280 Loss_G: -0.007388 Loss_D_real: -0.004280 Loss_D_fake 0.032001
[180/5000][460/535][18307] Loss_D: -0.037682 Loss_G: 0.023790 Loss_D_real: -0.027528 Loss_D_fake 0.010154
[180/5000][465/535][18308] Loss_D: -0.037693 Loss_G: -0.001880 Loss_D_real: -0.012540 Loss_D_fake 0.025153
[180/5000][470/535][18309] Loss_D: -0.039588 Loss_G: 0.015331 Loss_D_real: -0.028576 Loss_D_fake 0.011012
[180/5000][475/535][18310] Loss_D: -0.038764 Loss_G: 0.003507 Loss_D_real: -0.010331 Loss_D_fake 0.028433
[180/5000][480/535][18311] Loss_D: -0.039597 Loss_G: 0.022957 Loss_D_real: -0.020645 Loss_D_fake 0.018952
[180/5000][485/535][18312] Loss_D: -0.039725 Loss_G: 0.033760 Loss_D_real: -0.030747 Loss_D_fake 0.008978
[180/5000][490/535][18313] Loss_D: -0.038698 Loss_G: -0.002844 Loss_D_real: -0.009409 Loss_D_fake 0.029288
[180/5000][495/535][18314] Loss_D: -0.037283 Loss_G: 0.022243 Loss_D_real: -0.027388 Loss_D_fake 0.009895
[180/5000][500/535][18315] Loss_D: -0.039404 Loss_G: 0.040364 Loss_D_real: -0.037893 Loss_D_fake 0.001511
[180/5000][505/535][18316] Loss_D: -0.039666 Loss_G: 0.037886 Loss_D_real: -0.036983 Loss_D_fake 0.002683
[180/5000][510/535][18317] Loss_D: -0.039286 Loss_G: 0.032509 Loss_D_real: -0.026660 Loss_D_fake 0.012626
[180/5000][515/535][18318] Loss_D: -0.039300 Loss_G: 0.008996 Loss_D_real: -0.021998 Loss_D_fake 0.017302
[180/5000][520/535][18319] Loss_D: -0.038282 Loss_G: 0.045866 Loss_D_real: -0.044345 Loss_D_fake -0.006064
[180/5000][525/535][18320] Loss_D: -0.038408 Loss_G: 0.000941 Loss_D_real: -0.017071 Loss_D_fake 0.021337
[180/5000][530/535][18321] Loss_D: -0.038811 Loss_G: 0.027844 Loss_D_real: -0.029684 Loss_D_fake 0.009127
[180/5000][535/535][18322] Loss_D: -0.033557 Loss_G: 0.060205 Loss_D_real: -0.035133 Loss_D_fake -0.001576
[181/5000][5/535][18323] Loss_D: -0.036533 Loss_G: -0.007365 Loss_D_real: -0.004836 Loss_D_fake 0.031697
[181/5000][10/535][18324] Loss_D: -0.035570 Loss_G: 0.017856 Loss_D_real: -0.034774 Loss_D_fake 0.000796
[181/5000][15/535][18325] Loss_D: -0.036600 Loss_G: 0.036468 Loss_D_real: -0.036420 Loss_D_fake 0.000180
[181/5000][20/535][18326] Loss_D: -0.037059 Loss_G: 0.009104 Loss_D_real: -0.015005 Loss_D_fake 0.022054
[181/5000][25/535][18327] Loss_D: -0.036278 Loss_G: 0.033196 Loss_D_real: -0.040181 Loss_D_fake -0.003903
[181/5000][30/535][18328] Loss_D: -0.038481 Loss_G: 0.024108 Loss_D_real: -0.025782 Loss_D_fake 0.012699
[181/5000][35/535][18329] Loss_D: -0.038675 Loss_G: 0.031321 Loss_D_real: -0.035666 Loss_D_fake 0.003008
[181/5000][40/535][18330] Loss_D: -0.037340 Loss_G: -0.015078 Loss_D_real: -0.004324 Loss_D_fake 0.033016
[181/5000][45/535][18331] Loss_D: -0.036080 Loss_G: 0.031476 Loss_D_real: -0.035424 Loss_D_fake 0.000656
[181/5000][50/535][18332] Loss_D: -0.038098 Loss_G: 0.008068 Loss_D_real: -0.012328 Loss_D_fake 0.025769
[181/5000][55/535][18333] Loss_D: -0.037463 Loss_G: 0.032467 Loss_D_real: -0.026435 Loss_D_fake 0.011028
[181/5000][60/535][18334] Loss_D: -0.038494 Loss_G: 0.010891 Loss_D_real: -0.016428 Loss_D_fake 0.022067
[181/5000][65/535][18335] Loss_D: -0.038350 Loss_G: 0.029563 Loss_D_real: -0.026728 Loss_D_fake 0.011622
[181/5000][70/535][18336] Loss_D: -0.038616 Loss_G: -0.000241 Loss_D_real: -0.010641 Loss_D_fake 0.027975
[181/5000][75/535][18337] Loss_D: -0.035903 Loss_G: 0.004439 Loss_D_real: -0.012218 Loss_D_fake 0.023685
[181/5000][80/535][18338] Loss_D: -0.038583 Loss_G: 0.013025 Loss_D_real: -0.028702 Loss_D_fake 0.009882
[181/5000][85/535][18339] Loss_D: -0.037742 Loss_G: 0.040689 Loss_D_real: -0.042450 Loss_D_fake -0.004708
[181/5000][90/535][18340] Loss_D: -0.037180 Loss_G: -0.011244 Loss_D_real: -0.002884 Loss_D_fake 0.034296
[181/5000][95/535][18341] Loss_D: -0.037843 Loss_G: 0.028434 Loss_D_real: -0.031571 Loss_D_fake 0.006272
[181/5000][100/535][18342] Loss_D: -0.039669 Loss_G: 0.022465 Loss_D_real: -0.026596 Loss_D_fake 0.013074
[181/5000][105/535][18343] Loss_D: -0.038237 Loss_G: 0.036938 Loss_D_real: -0.032105 Loss_D_fake 0.006132
[181/5000][110/535][18344] Loss_D: -0.037816 Loss_G: -0.010862 Loss_D_real: -0.003368 Loss_D_fake 0.034448
[181/5000][115/535][18345] Loss_D: -0.036332 Loss_G: 0.025491 Loss_D_real: -0.025526 Loss_D_fake 0.010806
[181/5000][120/535][18346] Loss_D: -0.039249 Loss_G: 0.007109 Loss_D_real: -0.015175 Loss_D_fake 0.024074
[181/5000][125/535][18347] Loss_D: -0.039207 Loss_G: 0.029894 Loss_D_real: -0.035418 Loss_D_fake 0.003789
[181/5000][130/535][18348] Loss_D: -0.038367 Loss_G: 0.000570 Loss_D_real: -0.009917 Loss_D_fake 0.028450
[181/5000][135/535][18349] Loss_D: -0.036661 Loss_G: 0.042828 Loss_D_real: -0.036044 Loss_D_fake 0.000617
[181/5000][140/535][18350] Loss_D: -0.038521 Loss_G: 0.003464 Loss_D_real: -0.011511 Loss_D_fake 0.027010
[181/5000][145/535][18351] Loss_D: -0.035642 Loss_G: 0.041411 Loss_D_real: -0.036595 Loss_D_fake -0.000954
[181/5000][150/535][18352] Loss_D: -0.038724 Loss_G: -0.004952 Loss_D_real: -0.006010 Loss_D_fake 0.032714
[181/5000][155/535][18353] Loss_D: -0.035506 Loss_G: 0.027266 Loss_D_real: -0.036837 Loss_D_fake -0.001331
[181/5000][160/535][18354] Loss_D: -0.038033 Loss_G: 0.004164 Loss_D_real: -0.011664 Loss_D_fake 0.026368
[181/5000][165/535][18355] Loss_D: -0.036862 Loss_G: 0.039927 Loss_D_real: -0.037554 Loss_D_fake -0.000692
[181/5000][170/535][18356] Loss_D: -0.038980 Loss_G: 0.025616 Loss_D_real: -0.025399 Loss_D_fake 0.013580
[181/5000][175/535][18357] Loss_D: -0.037995 Loss_G: 0.023656 Loss_D_real: -0.025758 Loss_D_fake 0.012237
[181/5000][180/535][18358] Loss_D: -0.038085 Loss_G: 0.032382 Loss_D_real: -0.035339 Loss_D_fake 0.002747
[181/5000][185/535][18359] Loss_D: -0.038808 Loss_G: -0.004565 Loss_D_real: -0.010120 Loss_D_fake 0.028688
[181/5000][190/535][18360] Loss_D: -0.039208 Loss_G: 0.013680 Loss_D_real: -0.023888 Loss_D_fake 0.015320
[181/5000][195/535][18361] Loss_D: -0.036743 Loss_G: 0.014734 Loss_D_real: -0.028387 Loss_D_fake 0.008356
[181/5000][200/535][18362] Loss_D: -0.037867 Loss_G: 0.033221 Loss_D_real: -0.034740 Loss_D_fake 0.003127
[181/5000][205/535][18363] Loss_D: -0.039658 Loss_G: -0.000064 Loss_D_real: -0.011399 Loss_D_fake 0.028260
[181/5000][210/535][18364] Loss_D: -0.036877 Loss_G: 0.025891 Loss_D_real: -0.035386 Loss_D_fake 0.001491
[181/5000][215/535][18365] Loss_D: -0.037709 Loss_G: 0.020275 Loss_D_real: -0.019835 Loss_D_fake 0.017875
[181/5000][220/535][18366] Loss_D: -0.038114 Loss_G: 0.037120 Loss_D_real: -0.042484 Loss_D_fake -0.004370
[181/5000][225/535][18367] Loss_D: -0.038120 Loss_G: 0.034183 Loss_D_real: -0.035885 Loss_D_fake 0.002235
[181/5000][230/535][18368] Loss_D: -0.039570 Loss_G: -0.001616 Loss_D_real: -0.014849 Loss_D_fake 0.024721
[181/5000][235/535][18369] Loss_D: -0.038293 Loss_G: 0.029792 Loss_D_real: -0.034523 Loss_D_fake 0.003770
[181/5000][240/535][18370] Loss_D: -0.038981 Loss_G: 0.000259 Loss_D_real: -0.008630 Loss_D_fake 0.030351
[181/5000][245/535][18371] Loss_D: -0.036662 Loss_G: 0.044950 Loss_D_real: -0.040330 Loss_D_fake -0.003667
[181/5000][250/535][18372] Loss_D: -0.037569 Loss_G: 0.014971 Loss_D_real: -0.023834 Loss_D_fake 0.013735
[181/5000][255/535][18373] Loss_D: -0.037001 Loss_G: 0.011780 Loss_D_real: -0.022309 Loss_D_fake 0.014692
[181/5000][260/535][18374] Loss_D: -0.038929 Loss_G: 0.020176 Loss_D_real: -0.028288 Loss_D_fake 0.010641
[181/5000][265/535][18375] Loss_D: -0.039297 Loss_G: 0.005459 Loss_D_real: -0.017994 Loss_D_fake 0.021303
[181/5000][270/535][18376] Loss_D: -0.036981 Loss_G: 0.048789 Loss_D_real: -0.052190 Loss_D_fake -0.015209
[181/5000][275/535][18377] Loss_D: -0.037278 Loss_G: -0.003490 Loss_D_real: -0.003731 Loss_D_fake 0.033547
[181/5000][280/535][18378] Loss_D: -0.037420 Loss_G: 0.017009 Loss_D_real: -0.022976 Loss_D_fake 0.014444
[181/5000][285/535][18379] Loss_D: -0.038750 Loss_G: 0.014201 Loss_D_real: -0.015438 Loss_D_fake 0.023312
[181/5000][290/535][18380] Loss_D: -0.038759 Loss_G: -0.002746 Loss_D_real: -0.010615 Loss_D_fake 0.028144
[181/5000][295/535][18381] Loss_D: -0.038041 Loss_G: 0.033178 Loss_D_real: -0.034284 Loss_D_fake 0.003757
[181/5000][300/535][18382] Loss_D: -0.038273 Loss_G: 0.012094 Loss_D_real: -0.020656 Loss_D_fake 0.017617
[181/5000][305/535][18383] Loss_D: -0.033354 Loss_G: 0.049731 Loss_D_real: -0.049062 Loss_D_fake -0.015709
[181/5000][310/535][18384] Loss_D: -0.037550 Loss_G: 0.002993 Loss_D_real: -0.006517 Loss_D_fake 0.031034
[181/5000][315/535][18385] Loss_D: -0.036845 Loss_G: 0.023570 Loss_D_real: -0.033236 Loss_D_fake 0.003609
[181/5000][320/535][18386] Loss_D: -0.036010 Loss_G: 0.006381 Loss_D_real: -0.007669 Loss_D_fake 0.028341
[181/5000][325/535][18387] Loss_D: -0.039349 Loss_G: 0.011789 Loss_D_real: -0.017318 Loss_D_fake 0.022032
[181/5000][330/535][18388] Loss_D: -0.038541 Loss_G: 0.025154 Loss_D_real: -0.023317 Loss_D_fake 0.015224
[181/5000][335/535][18389] Loss_D: -0.037008 Loss_G: -0.004387 Loss_D_real: -0.004266 Loss_D_fake 0.032743
[181/5000][340/535][18390] Loss_D: -0.036496 Loss_G: 0.036361 Loss_D_real: -0.038527 Loss_D_fake -0.002031
[181/5000][345/535][18391] Loss_D: -0.036978 Loss_G: 0.028897 Loss_D_real: -0.033078 Loss_D_fake 0.003900
[181/5000][350/535][18392] Loss_D: -0.038914 Loss_G: 0.017039 Loss_D_real: -0.022185 Loss_D_fake 0.016729
[181/5000][355/535][18393] Loss_D: -0.037462 Loss_G: 0.017287 Loss_D_real: -0.025975 Loss_D_fake 0.011487
[181/5000][360/535][18394] Loss_D: -0.038852 Loss_G: 0.041445 Loss_D_real: -0.044183 Loss_D_fake -0.005331
[181/5000][365/535][18395] Loss_D: -0.037407 Loss_G: -0.007353 Loss_D_real: -0.004838 Loss_D_fake 0.032568
[181/5000][370/535][18396] Loss_D: -0.037242 Loss_G: 0.030365 Loss_D_real: -0.034302 Loss_D_fake 0.002940
[181/5000][375/535][18397] Loss_D: -0.039201 Loss_G: 0.005575 Loss_D_real: -0.017237 Loss_D_fake 0.021964
[181/5000][380/535][18398] Loss_D: -0.035430 Loss_G: 0.022287 Loss_D_real: -0.022021 Loss_D_fake 0.013409
[181/5000][385/535][18399] Loss_D: -0.036755 Loss_G: -0.004996 Loss_D_real: -0.003385 Loss_D_fake 0.033369
[181/5000][390/535][18400] Loss_D: -0.038425 Loss_G: 0.034084 Loss_D_real: -0.031307 Loss_D_fake 0.007118
[181/5000][395/535][18401] Loss_D: -0.037934 Loss_G: 0.009742 Loss_D_real: -0.017316 Loss_D_fake 0.020617
[181/5000][400/535][18402] Loss_D: -0.037059 Loss_G: 0.029068 Loss_D_real: -0.032708 Loss_D_fake 0.004351
[181/5000][405/535][18403] Loss_D: -0.038840 Loss_G: 0.030661 Loss_D_real: -0.032198 Loss_D_fake 0.006642
[181/5000][410/535][18404] Loss_D: -0.038605 Loss_G: 0.019788 Loss_D_real: -0.026770 Loss_D_fake 0.011836
[181/5000][415/535][18405] Loss_D: -0.038809 Loss_G: 0.035090 Loss_D_real: -0.031741 Loss_D_fake 0.007068
[181/5000][420/535][18406] Loss_D: -0.038375 Loss_G: 0.006793 Loss_D_real: -0.017300 Loss_D_fake 0.021075
[181/5000][425/535][18407] Loss_D: -0.037157 Loss_G: 0.022726 Loss_D_real: -0.025530 Loss_D_fake 0.011627
[181/5000][430/535][18408] Loss_D: -0.036536 Loss_G: 0.012164 Loss_D_real: -0.014582 Loss_D_fake 0.021954
[181/5000][435/535][18409] Loss_D: -0.037775 Loss_G: 0.025660 Loss_D_real: -0.028094 Loss_D_fake 0.009681
[181/5000][440/535][18410] Loss_D: -0.039338 Loss_G: 0.018496 Loss_D_real: -0.020644 Loss_D_fake 0.018694
[181/5000][445/535][18411] Loss_D: -0.035605 Loss_G: 0.037343 Loss_D_real: -0.038561 Loss_D_fake -0.002955
[181/5000][450/535][18412] Loss_D: -0.038662 Loss_G: -0.004292 Loss_D_real: -0.013223 Loss_D_fake 0.025439
[181/5000][455/535][18413] Loss_D: -0.037145 Loss_G: 0.030746 Loss_D_real: -0.035550 Loss_D_fake 0.001594
[181/5000][460/535][18414] Loss_D: -0.036230 Loss_G: 0.013283 Loss_D_real: -0.020476 Loss_D_fake 0.015754
[181/5000][465/535][18415] Loss_D: -0.037392 Loss_G: 0.034402 Loss_D_real: -0.031530 Loss_D_fake 0.005861
[181/5000][470/535][18416] Loss_D: -0.037260 Loss_G: 0.008352 Loss_D_real: -0.009032 Loss_D_fake 0.028229
[181/5000][475/535][18417] Loss_D: -0.037304 Loss_G: 0.005503 Loss_D_real: -0.016581 Loss_D_fake 0.020724
[181/5000][480/535][18418] Loss_D: -0.035659 Loss_G: 0.035171 Loss_D_real: -0.039347 Loss_D_fake -0.003688
[181/5000][485/535][18419] Loss_D: -0.039132 Loss_G: 0.002842 Loss_D_real: -0.016536 Loss_D_fake 0.022596
[181/5000][490/535][18420] Loss_D: -0.037433 Loss_G: 0.037829 Loss_D_real: -0.043345 Loss_D_fake -0.005913
[181/5000][495/535][18421] Loss_D: -0.036286 Loss_G: -0.006151 Loss_D_real: -0.006619 Loss_D_fake 0.029667
[181/5000][500/535][18422] Loss_D: -0.036712 Loss_G: 0.031145 Loss_D_real: -0.033252 Loss_D_fake 0.003459
[181/5000][505/535][18423] Loss_D: -0.036415 Loss_G: 0.010985 Loss_D_real: -0.016836 Loss_D_fake 0.019579
[181/5000][510/535][18424] Loss_D: -0.038536 Loss_G: 0.008311 Loss_D_real: -0.021128 Loss_D_fake 0.017408
[181/5000][515/535][18425] Loss_D: -0.036834 Loss_G: 0.041481 Loss_D_real: -0.041557 Loss_D_fake -0.004723
[181/5000][520/535][18426] Loss_D: -0.040270 Loss_G: 0.009055 Loss_D_real: -0.022162 Loss_D_fake 0.018107
[181/5000][525/535][18427] Loss_D: -0.037799 Loss_G: 0.039357 Loss_D_real: -0.034576 Loss_D_fake 0.003223
[181/5000][530/535][18428] Loss_D: -0.038948 Loss_G: -0.003683 Loss_D_real: -0.005159 Loss_D_fake 0.033789
[181/5000][535/535][18429] Loss_D: -0.040661 Loss_G: 0.056828 Loss_D_real: -0.049034 Loss_D_fake -0.008374
[182/5000][5/535][18430] Loss_D: -0.038076 Loss_G: 0.005937 Loss_D_real: -0.011822 Loss_D_fake 0.026253
[182/5000][10/535][18431] Loss_D: -0.038302 Loss_G: 0.022801 Loss_D_real: -0.035086 Loss_D_fake 0.003216
[182/5000][15/535][18432] Loss_D: -0.037717 Loss_G: 0.035334 Loss_D_real: -0.034508 Loss_D_fake 0.003209
[182/5000][20/535][18433] Loss_D: -0.039565 Loss_G: 0.022124 Loss_D_real: -0.024438 Loss_D_fake 0.015127
[182/5000][25/535][18434] Loss_D: -0.038891 Loss_G: 0.021041 Loss_D_real: -0.021238 Loss_D_fake 0.017653
[182/5000][30/535][18435] Loss_D: -0.039179 Loss_G: 0.028415 Loss_D_real: -0.028735 Loss_D_fake 0.010444
[182/5000][35/535][18436] Loss_D: -0.038075 Loss_G: 0.000223 Loss_D_real: -0.016928 Loss_D_fake 0.021148
[182/5000][40/535][18437] Loss_D: -0.039291 Loss_G: 0.028817 Loss_D_real: -0.028516 Loss_D_fake 0.010775
[182/5000][45/535][18438] Loss_D: -0.038426 Loss_G: 0.003805 Loss_D_real: -0.017969 Loss_D_fake 0.020456
[182/5000][50/535][18439] Loss_D: -0.038859 Loss_G: 0.021626 Loss_D_real: -0.024262 Loss_D_fake 0.014598
[182/5000][55/535][18440] Loss_D: -0.039675 Loss_G: -0.000426 Loss_D_real: -0.013574 Loss_D_fake 0.026101
[182/5000][60/535][18441] Loss_D: -0.037716 Loss_G: 0.041689 Loss_D_real: -0.043263 Loss_D_fake -0.005547
[182/5000][65/535][18442] Loss_D: -0.035998 Loss_G: -0.016548 Loss_D_real: -0.004241 Loss_D_fake 0.031757
[182/5000][70/535][18443] Loss_D: -0.037874 Loss_G: 0.028731 Loss_D_real: -0.033483 Loss_D_fake 0.004390
[182/5000][75/535][18444] Loss_D: -0.036549 Loss_G: -0.001290 Loss_D_real: -0.012485 Loss_D_fake 0.024065
[182/5000][80/535][18445] Loss_D: -0.036974 Loss_G: 0.013406 Loss_D_real: -0.012799 Loss_D_fake 0.024175
[182/5000][85/535][18446] Loss_D: -0.038255 Loss_G: 0.018075 Loss_D_real: -0.025422 Loss_D_fake 0.012833
[182/5000][90/535][18447] Loss_D: -0.037589 Loss_G: -0.003427 Loss_D_real: -0.014854 Loss_D_fake 0.022735
[182/5000][95/535][18448] Loss_D: -0.036230 Loss_G: 0.039628 Loss_D_real: -0.036345 Loss_D_fake -0.000114
[182/5000][100/535][18449] Loss_D: -0.037065 Loss_G: 0.000530 Loss_D_real: -0.009962 Loss_D_fake 0.027103
[182/5000][105/535][18450] Loss_D: -0.037314 Loss_G: 0.032209 Loss_D_real: -0.037241 Loss_D_fake 0.000073
[182/5000][110/535][18451] Loss_D: -0.037216 Loss_G: 0.001243 Loss_D_real: -0.004450 Loss_D_fake 0.032766
[182/5000][115/535][18452] Loss_D: -0.038592 Loss_G: 0.028245 Loss_D_real: -0.030648 Loss_D_fake 0.007944
[182/5000][120/535][18453] Loss_D: -0.037916 Loss_G: -0.002509 Loss_D_real: -0.002226 Loss_D_fake 0.035690
[182/5000][125/535][18454] Loss_D: -0.036054 Loss_G: 0.037006 Loss_D_real: -0.040131 Loss_D_fake -0.004077
[182/5000][130/535][18455] Loss_D: -0.036028 Loss_G: 0.032322 Loss_D_real: -0.031882 Loss_D_fake 0.004146
[182/5000][135/535][18456] Loss_D: -0.037412 Loss_G: 0.024317 Loss_D_real: -0.022963 Loss_D_fake 0.014449
[182/5000][140/535][18457] Loss_D: -0.036256 Loss_G: 0.020718 Loss_D_real: -0.033119 Loss_D_fake 0.003138
[182/5000][145/535][18458] Loss_D: -0.037799 Loss_G: 0.017731 Loss_D_real: -0.022041 Loss_D_fake 0.015758
[182/5000][150/535][18459] Loss_D: -0.040116 Loss_G: 0.042200 Loss_D_real: -0.035468 Loss_D_fake 0.004648
[182/5000][155/535][18460] Loss_D: -0.037980 Loss_G: -0.009437 Loss_D_real: -0.007655 Loss_D_fake 0.030325
[182/5000][160/535][18461] Loss_D: -0.038385 Loss_G: 0.026006 Loss_D_real: -0.027531 Loss_D_fake 0.010853
[182/5000][165/535][18462] Loss_D: -0.039828 Loss_G: 0.020001 Loss_D_real: -0.023644 Loss_D_fake 0.016184
[182/5000][170/535][18463] Loss_D: -0.037552 Loss_G: 0.043822 Loss_D_real: -0.041043 Loss_D_fake -0.003491
[182/5000][175/535][18464] Loss_D: -0.040693 Loss_G: 0.004544 Loss_D_real: -0.013928 Loss_D_fake 0.026764
[182/5000][180/535][18465] Loss_D: -0.040684 Loss_G: 0.025873 Loss_D_real: -0.026269 Loss_D_fake 0.014415
[182/5000][185/535][18466] Loss_D: -0.037557 Loss_G: 0.028843 Loss_D_real: -0.035529 Loss_D_fake 0.002028
[182/5000][190/535][18467] Loss_D: -0.039515 Loss_G: -0.002747 Loss_D_real: -0.002938 Loss_D_fake 0.036577
[182/5000][195/535][18468] Loss_D: -0.036498 Loss_G: 0.024968 Loss_D_real: -0.036959 Loss_D_fake -0.000460
[182/5000][200/535][18469] Loss_D: -0.038530 Loss_G: 0.000916 Loss_D_real: -0.011766 Loss_D_fake 0.026764
[182/5000][205/535][18470] Loss_D: -0.037130 Loss_G: 0.031871 Loss_D_real: -0.040602 Loss_D_fake -0.003472
[182/5000][210/535][18471] Loss_D: -0.038409 Loss_G: 0.004800 Loss_D_real: -0.011879 Loss_D_fake 0.026531
[182/5000][215/535][18472] Loss_D: -0.037715 Loss_G: -0.005072 Loss_D_real: -0.010794 Loss_D_fake 0.026920
[182/5000][220/535][18473] Loss_D: -0.036688 Loss_G: 0.030800 Loss_D_real: -0.040285 Loss_D_fake -0.003597
[182/5000][225/535][18474] Loss_D: -0.039889 Loss_G: 0.032926 Loss_D_real: -0.032537 Loss_D_fake 0.007352
[182/5000][230/535][18475] Loss_D: -0.040339 Loss_G: 0.021026 Loss_D_real: -0.031062 Loss_D_fake 0.009277
[182/5000][235/535][18476] Loss_D: -0.039943 Loss_G: 0.004824 Loss_D_real: -0.011456 Loss_D_fake 0.028488
[182/5000][240/535][18477] Loss_D: -0.039224 Loss_G: 0.036020 Loss_D_real: -0.042842 Loss_D_fake -0.003618
[182/5000][245/535][18478] Loss_D: -0.038730 Loss_G: 0.031255 Loss_D_real: -0.029723 Loss_D_fake 0.009007
[182/5000][250/535][18479] Loss_D: -0.038091 Loss_G: 0.022711 Loss_D_real: -0.027723 Loss_D_fake 0.010368
[182/5000][255/535][18480] Loss_D: -0.037792 Loss_G: 0.009192 Loss_D_real: -0.019977 Loss_D_fake 0.017814
[182/5000][260/535][18481] Loss_D: -0.038237 Loss_G: 0.022641 Loss_D_real: -0.030259 Loss_D_fake 0.007978
[182/5000][265/535][18482] Loss_D: -0.039000 Loss_G: 0.022467 Loss_D_real: -0.025973 Loss_D_fake 0.013028
[182/5000][270/535][18483] Loss_D: -0.039090 Loss_G: 0.038703 Loss_D_real: -0.038933 Loss_D_fake 0.000157
[182/5000][275/535][18484] Loss_D: -0.039500 Loss_G: 0.004276 Loss_D_real: -0.011199 Loss_D_fake 0.028301
[182/5000][280/535][18485] Loss_D: -0.037589 Loss_G: 0.017962 Loss_D_real: -0.029637 Loss_D_fake 0.007952
[182/5000][285/535][18486] Loss_D: -0.036350 Loss_G: 0.048249 Loss_D_real: -0.043165 Loss_D_fake -0.006815
[182/5000][290/535][18487] Loss_D: -0.034447 Loss_G: -0.003259 Loss_D_real: -0.000343 Loss_D_fake 0.034104
[182/5000][295/535][18488] Loss_D: -0.037096 Loss_G: 0.014128 Loss_D_real: -0.015044 Loss_D_fake 0.022052
[182/5000][300/535][18489] Loss_D: -0.038560 Loss_G: 0.007396 Loss_D_real: -0.011524 Loss_D_fake 0.027037
[182/5000][305/535][18490] Loss_D: -0.037089 Loss_G: 0.018129 Loss_D_real: -0.020754 Loss_D_fake 0.016335
[182/5000][310/535][18491] Loss_D: -0.037494 Loss_G: 0.035451 Loss_D_real: -0.042403 Loss_D_fake -0.004909
[182/5000][315/535][18492] Loss_D: -0.037036 Loss_G: 0.003899 Loss_D_real: -0.010092 Loss_D_fake 0.026944
[182/5000][320/535][18493] Loss_D: -0.038630 Loss_G: 0.030922 Loss_D_real: -0.027650 Loss_D_fake 0.010980
[182/5000][325/535][18494] Loss_D: -0.038074 Loss_G: -0.002944 Loss_D_real: -0.008631 Loss_D_fake 0.029443
[182/5000][330/535][18495] Loss_D: -0.037346 Loss_G: 0.003887 Loss_D_real: -0.017623 Loss_D_fake 0.019723
[182/5000][335/535][18496] Loss_D: -0.036627 Loss_G: 0.023598 Loss_D_real: -0.021344 Loss_D_fake 0.015283
[182/5000][340/535][18497] Loss_D: -0.035445 Loss_G: 0.046768 Loss_D_real: -0.047891 Loss_D_fake -0.012445
[182/5000][345/535][18498] Loss_D: -0.037651 Loss_G: 0.002649 Loss_D_real: -0.006941 Loss_D_fake 0.030710
[182/5000][350/535][18499] Loss_D: -0.036895 Loss_G: 0.032009 Loss_D_real: -0.039213 Loss_D_fake -0.002318
[182/5000][355/535][18500] Loss_D: -0.037172 Loss_G: 0.004675 Loss_D_real: -0.012484 Loss_D_fake 0.024689
[182/5000][455/535][18501] Loss_D: -0.040880 Loss_G: -0.001723 Loss_D_real: -0.006275 Loss_D_fake 0.034606
[182/5000][460/535][18502] Loss_D: -0.041025 Loss_G: 0.018883 Loss_D_real: -0.020562 Loss_D_fake 0.020463
[182/5000][465/535][18503] Loss_D: -0.034489 Loss_G: 0.017087 Loss_D_real: -0.019537 Loss_D_fake 0.014952
[182/5000][470/535][18504] Loss_D: -0.034856 Loss_G: 0.030453 Loss_D_real: -0.034270 Loss_D_fake 0.000586
[182/5000][475/535][18505] Loss_D: -0.036962 Loss_G: 0.011090 Loss_D_real: -0.017726 Loss_D_fake 0.019237
[182/5000][480/535][18506] Loss_D: -0.036630 Loss_G: 0.014412 Loss_D_real: -0.017535 Loss_D_fake 0.019095
[182/5000][485/535][18507] Loss_D: -0.036333 Loss_G: 0.015218 Loss_D_real: -0.024333 Loss_D_fake 0.012000
[182/5000][490/535][18508] Loss_D: -0.035701 Loss_G: 0.014030 Loss_D_real: -0.020980 Loss_D_fake 0.014721
[182/5000][495/535][18509] Loss_D: -0.037439 Loss_G: 0.010078 Loss_D_real: -0.020505 Loss_D_fake 0.016935
[182/5000][500/535][18510] Loss_D: -0.035901 Loss_G: 0.024094 Loss_D_real: -0.025818 Loss_D_fake 0.010083
[182/5000][505/535][18511] Loss_D: -0.037512 Loss_G: 0.023134 Loss_D_real: -0.026412 Loss_D_fake 0.011100
[182/5000][510/535][18512] Loss_D: -0.037080 Loss_G: 0.028368 Loss_D_real: -0.032951 Loss_D_fake 0.004129
[182/5000][515/535][18513] Loss_D: -0.037461 Loss_G: 0.003571 Loss_D_real: -0.006472 Loss_D_fake 0.030989
[182/5000][520/535][18514] Loss_D: -0.039301 Loss_G: 0.028873 Loss_D_real: -0.035182 Loss_D_fake 0.004120
[182/5000][525/535][18515] Loss_D: -0.038723 Loss_G: 0.026087 Loss_D_real: -0.033586 Loss_D_fake 0.005138
[182/5000][530/535][18516] Loss_D: -0.037068 Loss_G: -0.007882 Loss_D_real: -0.000519 Loss_D_fake 0.036549
[182/5000][535/535][18517] Loss_D: -0.034275 Loss_G: 0.039413 Loss_D_real: -0.033168 Loss_D_fake 0.001107
[183/5000][5/535][18518] Loss_D: -0.038965 Loss_G: 0.019091 Loss_D_real: -0.022780 Loss_D_fake 0.016185
[183/5000][10/535][18519] Loss_D: -0.038141 Loss_G: 0.015024 Loss_D_real: -0.023288 Loss_D_fake 0.014852
[183/5000][15/535][18520] Loss_D: -0.038624 Loss_G: 0.004829 Loss_D_real: -0.021883 Loss_D_fake 0.016742
[183/5000][20/535][18521] Loss_D: -0.038468 Loss_G: 0.031691 Loss_D_real: -0.029535 Loss_D_fake 0.008933
[183/5000][25/535][18522] Loss_D: -0.037946 Loss_G: 0.003629 Loss_D_real: -0.008787 Loss_D_fake 0.029159
[183/5000][30/535][18523] Loss_D: -0.038063 Loss_G: 0.011484 Loss_D_real: -0.022861 Loss_D_fake 0.015202
[183/5000][35/535][18524] Loss_D: -0.039011 Loss_G: 0.019650 Loss_D_real: -0.022667 Loss_D_fake 0.016344
[183/5000][40/535][18525] Loss_D: -0.035546 Loss_G: 0.040182 Loss_D_real: -0.049496 Loss_D_fake -0.013949
[183/5000][45/535][18526] Loss_D: -0.036531 Loss_G: -0.017446 Loss_D_real: -0.000287 Loss_D_fake 0.036244
[183/5000][50/535][18527] Loss_D: -0.038216 Loss_G: 0.026075 Loss_D_real: -0.033188 Loss_D_fake 0.005028
[183/5000][55/535][18528] Loss_D: -0.035726 Loss_G: 0.002171 Loss_D_real: -0.012504 Loss_D_fake 0.023222
[183/5000][60/535][18529] Loss_D: -0.036611 Loss_G: 0.028655 Loss_D_real: -0.028495 Loss_D_fake 0.008115
[183/5000][65/535][18530] Loss_D: -0.037133 Loss_G: 0.012783 Loss_D_real: -0.021172 Loss_D_fake 0.015961
[183/5000][70/535][18531] Loss_D: -0.038793 Loss_G: 0.010390 Loss_D_real: -0.017756 Loss_D_fake 0.021038
[183/5000][75/535][18532] Loss_D: -0.038135 Loss_G: 0.009288 Loss_D_real: -0.017509 Loss_D_fake 0.020626
[183/5000][80/535][18533] Loss_D: -0.037793 Loss_G: 0.007875 Loss_D_real: -0.021950 Loss_D_fake 0.015843
[183/5000][85/535][18534] Loss_D: -0.036581 Loss_G: -0.008430 Loss_D_real: -0.004374 Loss_D_fake 0.032207
[183/5000][90/535][18535] Loss_D: -0.036645 Loss_G: 0.023935 Loss_D_real: -0.034260 Loss_D_fake 0.002385
[183/5000][95/535][18536] Loss_D: -0.037808 Loss_G: 0.024582 Loss_D_real: -0.025503 Loss_D_fake 0.012306
[183/5000][100/535][18537] Loss_D: -0.038992 Loss_G: 0.032309 Loss_D_real: -0.030303 Loss_D_fake 0.008689
[183/5000][105/535][18538] Loss_D: -0.036643 Loss_G: 0.000538 Loss_D_real: -0.009979 Loss_D_fake 0.026664
[183/5000][110/535][18539] Loss_D: -0.036937 Loss_G: 0.007089 Loss_D_real: -0.012829 Loss_D_fake 0.024108
[183/5000][115/535][18540] Loss_D: -0.037531 Loss_G: 0.044700 Loss_D_real: -0.042312 Loss_D_fake -0.004781
[183/5000][120/535][18541] Loss_D: -0.038470 Loss_G: 0.003641 Loss_D_real: -0.012550 Loss_D_fake 0.025920
[183/5000][125/535][18542] Loss_D: -0.038252 Loss_G: 0.039102 Loss_D_real: -0.035405 Loss_D_fake 0.002847
[183/5000][130/535][18543] Loss_D: -0.040313 Loss_G: 0.028650 Loss_D_real: -0.029501 Loss_D_fake 0.010812
[183/5000][135/535][18544] Loss_D: -0.037994 Loss_G: -0.013403 Loss_D_real: -0.003497 Loss_D_fake 0.034497
[183/5000][140/535][18545] Loss_D: -0.038283 Loss_G: 0.025128 Loss_D_real: -0.022359 Loss_D_fake 0.015924
[183/5000][145/535][18546] Loss_D: -0.038438 Loss_G: -0.001496 Loss_D_real: -0.014748 Loss_D_fake 0.023690
[183/5000][150/535][18547] Loss_D: -0.038652 Loss_G: 0.027915 Loss_D_real: -0.038424 Loss_D_fake 0.000228
[183/5000][155/535][18548] Loss_D: -0.038816 Loss_G: 0.033798 Loss_D_real: -0.028323 Loss_D_fake 0.010494
[183/5000][160/535][18549] Loss_D: -0.038852 Loss_G: -0.004059 Loss_D_real: -0.006457 Loss_D_fake 0.032395
[183/5000][165/535][18550] Loss_D: -0.037740 Loss_G: 0.011109 Loss_D_real: -0.020340 Loss_D_fake 0.017400
[183/5000][170/535][18551] Loss_D: -0.039305 Loss_G: 0.024987 Loss_D_real: -0.028081 Loss_D_fake 0.011224
[183/5000][175/535][18552] Loss_D: -0.039120 Loss_G: 0.036600 Loss_D_real: -0.036944 Loss_D_fake 0.002176
[183/5000][180/535][18553] Loss_D: -0.040046 Loss_G: 0.017162 Loss_D_real: -0.016589 Loss_D_fake 0.023457
[183/5000][185/535][18554] Loss_D: -0.037116 Loss_G: 0.050715 Loss_D_real: -0.046965 Loss_D_fake -0.009849
[183/5000][190/535][18555] Loss_D: -0.037598 Loss_G: 0.015465 Loss_D_real: -0.020047 Loss_D_fake 0.017551
[183/5000][195/535][18556] Loss_D: -0.035275 Loss_G: 0.042656 Loss_D_real: -0.042238 Loss_D_fake -0.006962
[183/5000][200/535][18557] Loss_D: -0.035412 Loss_G: 0.001187 Loss_D_real: -0.009028 Loss_D_fake 0.026384
[183/5000][205/535][18558] Loss_D: -0.038284 Loss_G: 0.034906 Loss_D_real: -0.041459 Loss_D_fake -0.003175
[183/5000][210/535][18559] Loss_D: -0.039197 Loss_G: 0.020033 Loss_D_real: -0.022168 Loss_D_fake 0.017029
[183/5000][215/535][18560] Loss_D: -0.037760 Loss_G: 0.031270 Loss_D_real: -0.034174 Loss_D_fake 0.003586
[183/5000][220/535][18561] Loss_D: -0.037187 Loss_G: 0.018306 Loss_D_real: -0.022808 Loss_D_fake 0.014378
[183/5000][225/535][18562] Loss_D: -0.037621 Loss_G: 0.037727 Loss_D_real: -0.036421 Loss_D_fake 0.001200
[183/5000][230/535][18563] Loss_D: -0.036103 Loss_G: -0.006917 Loss_D_real: -0.005451 Loss_D_fake 0.030652
[183/5000][235/535][18564] Loss_D: -0.035277 Loss_G: 0.035127 Loss_D_real: -0.038924 Loss_D_fake -0.003648
[183/5000][240/535][18565] Loss_D: -0.038692 Loss_G: 0.015311 Loss_D_real: -0.022754 Loss_D_fake 0.015937
[183/5000][245/535][18566] Loss_D: -0.036819 Loss_G: 0.036214 Loss_D_real: -0.037672 Loss_D_fake -0.000853
[183/5000][250/535][18567] Loss_D: -0.038367 Loss_G: 0.007629 Loss_D_real: -0.018810 Loss_D_fake 0.019557
[183/5000][255/535][18568] Loss_D: -0.037873 Loss_G: 0.021034 Loss_D_real: -0.023441 Loss_D_fake 0.014432
[183/5000][260/535][18569] Loss_D: -0.037384 Loss_G: 0.015637 Loss_D_real: -0.022076 Loss_D_fake 0.015308
[183/5000][265/535][18570] Loss_D: -0.036825 Loss_G: 0.038707 Loss_D_real: -0.033313 Loss_D_fake 0.003512
[183/5000][270/535][18571] Loss_D: -0.039016 Loss_G: 0.031241 Loss_D_real: -0.024798 Loss_D_fake 0.014218
[183/5000][275/535][18572] Loss_D: -0.037004 Loss_G: 0.014995 Loss_D_real: -0.021865 Loss_D_fake 0.015138
[183/5000][280/535][18573] Loss_D: -0.037790 Loss_G: 0.030421 Loss_D_real: -0.027892 Loss_D_fake 0.009897
[183/5000][285/535][18574] Loss_D: -0.037346 Loss_G: 0.007434 Loss_D_real: -0.011663 Loss_D_fake 0.025682
[183/5000][290/535][18575] Loss_D: -0.037813 Loss_G: 0.025483 Loss_D_real: -0.028758 Loss_D_fake 0.009055
[183/5000][295/535][18576] Loss_D: -0.037484 Loss_G: 0.000332 Loss_D_real: -0.004474 Loss_D_fake 0.033010
[183/5000][300/535][18577] Loss_D: -0.035034 Loss_G: 0.040248 Loss_D_real: -0.040623 Loss_D_fake -0.005588
[183/5000][305/535][18578] Loss_D: -0.037819 Loss_G: 0.015028 Loss_D_real: -0.028924 Loss_D_fake 0.008895
[183/5000][310/535][18579] Loss_D: -0.038494 Loss_G: 0.015085 Loss_D_real: -0.025185 Loss_D_fake 0.013309
[183/5000][315/535][18580] Loss_D: -0.038606 Loss_G: 0.037925 Loss_D_real: -0.043398 Loss_D_fake -0.004792
[183/5000][320/535][18581] Loss_D: -0.040816 Loss_G: 0.012630 Loss_D_real: -0.021385 Loss_D_fake 0.019432
[183/5000][325/535][18582] Loss_D: -0.039710 Loss_G: 0.033347 Loss_D_real: -0.029116 Loss_D_fake 0.010593
[183/5000][330/535][18583] Loss_D: -0.037787 Loss_G: -0.021310 Loss_D_real: 0.003700 Loss_D_fake 0.041487
[183/5000][335/535][18584] Loss_D: -0.036227 Loss_G: 0.033726 Loss_D_real: -0.035483 Loss_D_fake 0.000744
[183/5000][340/535][18585] Loss_D: -0.038767 Loss_G: 0.007959 Loss_D_real: -0.015218 Loss_D_fake 0.023549
[183/5000][345/535][18586] Loss_D: -0.039377 Loss_G: 0.011621 Loss_D_real: -0.020335 Loss_D_fake 0.019043
[183/5000][350/535][18587] Loss_D: -0.039697 Loss_G: 0.014925 Loss_D_real: -0.029648 Loss_D_fake 0.010049
[183/5000][355/535][18588] Loss_D: -0.039913 Loss_G: 0.011214 Loss_D_real: -0.019672 Loss_D_fake 0.020240
[183/5000][360/535][18589] Loss_D: -0.038348 Loss_G: 0.024303 Loss_D_real: -0.030243 Loss_D_fake 0.008105
[183/5000][365/535][18590] Loss_D: -0.039914 Loss_G: 0.010870 Loss_D_real: -0.019169 Loss_D_fake 0.020745
[183/5000][370/535][18591] Loss_D: -0.037792 Loss_G: 0.045057 Loss_D_real: -0.042307 Loss_D_fake -0.004516
[183/5000][375/535][18592] Loss_D: -0.035774 Loss_G: -0.004128 Loss_D_real: -0.008263 Loss_D_fake 0.027511
[183/5000][380/535][18593] Loss_D: -0.037242 Loss_G: 0.035845 Loss_D_real: -0.038544 Loss_D_fake -0.001302
[183/5000][385/535][18594] Loss_D: -0.038786 Loss_G: 0.028194 Loss_D_real: -0.027653 Loss_D_fake 0.011133
[183/5000][390/535][18595] Loss_D: -0.037705 Loss_G: 0.037014 Loss_D_real: -0.038866 Loss_D_fake -0.001161
[183/5000][395/535][18596] Loss_D: -0.038665 Loss_G: 0.023302 Loss_D_real: -0.027911 Loss_D_fake 0.010755
[183/5000][400/535][18597] Loss_D: -0.037122 Loss_G: -0.013656 Loss_D_real: -0.006009 Loss_D_fake 0.031114
[183/5000][405/535][18598] Loss_D: -0.035412 Loss_G: 0.032991 Loss_D_real: -0.039490 Loss_D_fake -0.004077
[183/5000][410/535][18599] Loss_D: -0.038205 Loss_G: 0.015266 Loss_D_real: -0.019315 Loss_D_fake 0.018891
[183/5000][415/535][18600] Loss_D: -0.039147 Loss_G: 0.015641 Loss_D_real: -0.023390 Loss_D_fake 0.015757
[183/5000][420/535][18601] Loss_D: -0.036850 Loss_G: 0.044094 Loss_D_real: -0.043514 Loss_D_fake -0.006664
[183/5000][425/535][18602] Loss_D: -0.037220 Loss_G: 0.012250 Loss_D_real: -0.016149 Loss_D_fake 0.021070
[183/5000][430/535][18603] Loss_D: -0.039660 Loss_G: 0.021929 Loss_D_real: -0.028187 Loss_D_fake 0.011473
[183/5000][435/535][18604] Loss_D: -0.037954 Loss_G: 0.031989 Loss_D_real: -0.030840 Loss_D_fake 0.007114
[183/5000][440/535][18605] Loss_D: -0.039341 Loss_G: 0.022492 Loss_D_real: -0.029105 Loss_D_fake 0.010236
[183/5000][445/535][18606] Loss_D: -0.038745 Loss_G: 0.031070 Loss_D_real: -0.029764 Loss_D_fake 0.008982
[183/5000][450/535][18607] Loss_D: -0.035825 Loss_G: -0.014380 Loss_D_real: 0.004789 Loss_D_fake 0.040614
[183/5000][455/535][18608] Loss_D: -0.038523 Loss_G: 0.029752 Loss_D_real: -0.035249 Loss_D_fake 0.003274
[183/5000][460/535][18609] Loss_D: -0.038030 Loss_G: 0.016781 Loss_D_real: -0.023639 Loss_D_fake 0.014391
[183/5000][465/535][18610] Loss_D: -0.038392 Loss_G: 0.027932 Loss_D_real: -0.032176 Loss_D_fake 0.006216
[183/5000][470/535][18611] Loss_D: -0.037993 Loss_G: 0.016909 Loss_D_real: -0.031528 Loss_D_fake 0.006465
[183/5000][475/535][18612] Loss_D: -0.038994 Loss_G: 0.010977 Loss_D_real: -0.016743 Loss_D_fake 0.022250
[183/5000][480/535][18613] Loss_D: -0.038549 Loss_G: 0.025039 Loss_D_real: -0.033008 Loss_D_fake 0.005541
[183/5000][485/535][18614] Loss_D: -0.040414 Loss_G: 0.010380 Loss_D_real: -0.015291 Loss_D_fake 0.025123
[183/5000][490/535][18615] Loss_D: -0.039474 Loss_G: 0.027872 Loss_D_real: -0.024610 Loss_D_fake 0.014865
[183/5000][495/535][18616] Loss_D: -0.038954 Loss_G: 0.012212 Loss_D_real: -0.020298 Loss_D_fake 0.018656
[183/5000][500/535][18617] Loss_D: -0.037142 Loss_G: 0.039687 Loss_D_real: -0.036553 Loss_D_fake 0.000590
[183/5000][505/535][18618] Loss_D: -0.039335 Loss_G: 0.023408 Loss_D_real: -0.028240 Loss_D_fake 0.011095
[183/5000][510/535][18619] Loss_D: -0.037262 Loss_G: 0.006487 Loss_D_real: -0.018047 Loss_D_fake 0.019215
[183/5000][515/535][18620] Loss_D: -0.037347 Loss_G: 0.032898 Loss_D_real: -0.036534 Loss_D_fake 0.000813
[183/5000][520/535][18621] Loss_D: -0.038913 Loss_G: 0.011142 Loss_D_real: -0.022612 Loss_D_fake 0.016301
[183/5000][525/535][18622] Loss_D: -0.037956 Loss_G: 0.041343 Loss_D_real: -0.042952 Loss_D_fake -0.004995
[183/5000][530/535][18623] Loss_D: -0.038729 Loss_G: -0.001111 Loss_D_real: -0.008025 Loss_D_fake 0.030704
[183/5000][535/535][18624] Loss_D: -0.036680 Loss_G: 0.016735 Loss_D_real: -0.032599 Loss_D_fake 0.004080
[184/5000][5/535][18625] Loss_D: -0.037421 Loss_G: 0.005585 Loss_D_real: -0.015559 Loss_D_fake 0.021862
[184/5000][10/535][18626] Loss_D: -0.039466 Loss_G: 0.028108 Loss_D_real: -0.023142 Loss_D_fake 0.016324
[184/5000][15/535][18627] Loss_D: -0.036775 Loss_G: -0.008328 Loss_D_real: -0.010941 Loss_D_fake 0.025835
[184/5000][20/535][18628] Loss_D: -0.036500 Loss_G: 0.023643 Loss_D_real: -0.028133 Loss_D_fake 0.008367
[184/5000][25/535][18629] Loss_D: -0.036234 Loss_G: 0.022692 Loss_D_real: -0.024659 Loss_D_fake 0.011575
[184/5000][30/535][18630] Loss_D: -0.037270 Loss_G: 0.001979 Loss_D_real: -0.004537 Loss_D_fake 0.032733
[184/5000][35/535][18631] Loss_D: -0.036032 Loss_G: 0.039420 Loss_D_real: -0.042468 Loss_D_fake -0.006436
[184/5000][40/535][18632] Loss_D: -0.036392 Loss_G: -0.011955 Loss_D_real: -0.004379 Loss_D_fake 0.032013
[184/5000][45/535][18633] Loss_D: -0.036110 Loss_G: 0.019600 Loss_D_real: -0.024807 Loss_D_fake 0.011303
[184/5000][50/535][18634] Loss_D: -0.038677 Loss_G: 0.016441 Loss_D_real: -0.019362 Loss_D_fake 0.019315
[184/5000][55/535][18635] Loss_D: -0.038639 Loss_G: 0.010464 Loss_D_real: -0.020470 Loss_D_fake 0.018168
[184/5000][60/535][18636] Loss_D: -0.035987 Loss_G: 0.047988 Loss_D_real: -0.041139 Loss_D_fake -0.005151
[184/5000][65/535][18637] Loss_D: -0.036915 Loss_G: 0.010163 Loss_D_real: -0.014258 Loss_D_fake 0.022657
[184/5000][70/535][18638] Loss_D: -0.038976 Loss_G: 0.017445 Loss_D_real: -0.021253 Loss_D_fake 0.017724
[184/5000][75/535][18639] Loss_D: -0.039162 Loss_G: 0.025092 Loss_D_real: -0.026712 Loss_D_fake 0.012450
[184/5000][80/535][18640] Loss_D: -0.040053 Loss_G: 0.028677 Loss_D_real: -0.036216 Loss_D_fake 0.003837
[184/5000][85/535][18641] Loss_D: -0.039783 Loss_G: 0.023683 Loss_D_real: -0.032865 Loss_D_fake 0.006918
[184/5000][90/535][18642] Loss_D: -0.039420 Loss_G: -0.013122 Loss_D_real: -0.007951 Loss_D_fake 0.031469
[184/5000][95/535][18643] Loss_D: -0.035771 Loss_G: 0.035265 Loss_D_real: -0.042535 Loss_D_fake -0.006764
[184/5000][100/535][18644] Loss_D: -0.038980 Loss_G: -0.001502 Loss_D_real: -0.003196 Loss_D_fake 0.035783
[184/5000][105/535][18645] Loss_D: -0.037991 Loss_G: 0.033074 Loss_D_real: -0.031162 Loss_D_fake 0.006829
[184/5000][110/535][18646] Loss_D: -0.036815 Loss_G: -0.004749 Loss_D_real: -0.009152 Loss_D_fake 0.027663
[184/5000][115/535][18647] Loss_D: -0.038591 Loss_G: 0.017504 Loss_D_real: -0.028021 Loss_D_fake 0.010571
[184/5000][120/535][18648] Loss_D: -0.038457 Loss_G: 0.007803 Loss_D_real: -0.017042 Loss_D_fake 0.021415
[184/5000][125/535][18649] Loss_D: -0.037878 Loss_G: 0.020171 Loss_D_real: -0.025688 Loss_D_fake 0.012190
[184/5000][130/535][18650] Loss_D: -0.038166 Loss_G: 0.026444 Loss_D_real: -0.032502 Loss_D_fake 0.005664
[184/5000][135/535][18651] Loss_D: -0.035649 Loss_G: 0.007851 Loss_D_real: -0.012081 Loss_D_fake 0.023568
[184/5000][140/535][18652] Loss_D: -0.038317 Loss_G: 0.003332 Loss_D_real: -0.008819 Loss_D_fake 0.029497
[184/5000][145/535][18653] Loss_D: -0.037727 Loss_G: 0.036582 Loss_D_real: -0.036655 Loss_D_fake 0.001073
[184/5000][150/535][18654] Loss_D: -0.036715 Loss_G: 0.039499 Loss_D_real: -0.038546 Loss_D_fake -0.001830
[184/5000][155/535][18655] Loss_D: -0.036961 Loss_G: 0.004259 Loss_D_real: -0.013388 Loss_D_fake 0.023574
[184/5000][160/535][18656] Loss_D: -0.039055 Loss_G: 0.011107 Loss_D_real: -0.015153 Loss_D_fake 0.023902
[184/5000][165/535][18657] Loss_D: -0.037934 Loss_G: 0.016387 Loss_D_real: -0.026033 Loss_D_fake 0.011901
[184/5000][170/535][18658] Loss_D: -0.038864 Loss_G: 0.025897 Loss_D_real: -0.028558 Loss_D_fake 0.010306
[184/5000][175/535][18659] Loss_D: -0.037793 Loss_G: 0.022782 Loss_D_real: -0.024128 Loss_D_fake 0.013665
[184/5000][180/535][18660] Loss_D: -0.038530 Loss_G: 0.032833 Loss_D_real: -0.034316 Loss_D_fake 0.004214
[184/5000][185/535][18661] Loss_D: -0.037754 Loss_G: -0.006958 Loss_D_real: -0.007932 Loss_D_fake 0.029822
[184/5000][190/535][18662] Loss_D: -0.037909 Loss_G: 0.030870 Loss_D_real: -0.034237 Loss_D_fake 0.003672
[184/5000][195/535][18663] Loss_D: -0.038640 Loss_G: 0.030573 Loss_D_real: -0.030528 Loss_D_fake 0.008112
[184/5000][200/535][18664] Loss_D: -0.039372 Loss_G: 0.008179 Loss_D_real: -0.015445 Loss_D_fake 0.023927
[184/5000][205/535][18665] Loss_D: -0.036832 Loss_G: 0.037473 Loss_D_real: -0.031602 Loss_D_fake 0.005229
[184/5000][210/535][18666] Loss_D: -0.035122 Loss_G: -0.009008 Loss_D_real: -0.009034 Loss_D_fake 0.026088
[184/5000][215/535][18667] Loss_D: -0.037684 Loss_G: 0.011943 Loss_D_real: -0.021294 Loss_D_fake 0.016390
[184/5000][220/535][18668] Loss_D: -0.036840 Loss_G: 0.049247 Loss_D_real: -0.041399 Loss_D_fake -0.004559
[184/5000][225/535][18669] Loss_D: -0.037694 Loss_G: -0.006580 Loss_D_real: -0.005606 Loss_D_fake 0.032087
[184/5000][230/535][18670] Loss_D: -0.036877 Loss_G: 0.004362 Loss_D_real: -0.016752 Loss_D_fake 0.020125
[184/5000][235/535][18671] Loss_D: -0.035823 Loss_G: 0.014138 Loss_D_real: -0.020219 Loss_D_fake 0.015604
[184/5000][240/535][18672] Loss_D: -0.037834 Loss_G: 0.029380 Loss_D_real: -0.034785 Loss_D_fake 0.003049
[184/5000][245/535][18673] Loss_D: -0.037545 Loss_G: 0.012459 Loss_D_real: -0.019216 Loss_D_fake 0.018329
[184/5000][250/535][18674] Loss_D: -0.038594 Loss_G: 0.010534 Loss_D_real: -0.018182 Loss_D_fake 0.020412
[184/5000][255/535][18675] Loss_D: -0.037051 Loss_G: 0.042496 Loss_D_real: -0.042169 Loss_D_fake -0.005119
[184/5000][260/535][18676] Loss_D: -0.039629 Loss_G: 0.015361 Loss_D_real: -0.015734 Loss_D_fake 0.023895
[184/5000][265/535][18677] Loss_D: -0.036073 Loss_G: 0.042104 Loss_D_real: -0.039282 Loss_D_fake -0.003209
[184/5000][270/535][18678] Loss_D: -0.036218 Loss_G: -0.009162 Loss_D_real: -0.005553 Loss_D_fake 0.030665
[184/5000][275/535][18679] Loss_D: -0.036253 Loss_G: 0.039722 Loss_D_real: -0.039331 Loss_D_fake -0.003078
[184/5000][280/535][18680] Loss_D: -0.036035 Loss_G: 0.005991 Loss_D_real: -0.009265 Loss_D_fake 0.026771
[184/5000][285/535][18681] Loss_D: -0.038046 Loss_G: 0.021504 Loss_D_real: -0.025023 Loss_D_fake 0.013024
[184/5000][290/535][18682] Loss_D: -0.038205 Loss_G: 0.026211 Loss_D_real: -0.027184 Loss_D_fake 0.011021
[184/5000][295/535][18683] Loss_D: -0.038328 Loss_G: 0.013226 Loss_D_real: -0.016509 Loss_D_fake 0.021819
[184/5000][300/535][18684] Loss_D: -0.036780 Loss_G: 0.009551 Loss_D_real: -0.022635 Loss_D_fake 0.014145
[184/5000][305/535][18685] Loss_D: -0.038245 Loss_G: 0.025743 Loss_D_real: -0.028715 Loss_D_fake 0.009530
[184/5000][310/535][18686] Loss_D: -0.038898 Loss_G: 0.030259 Loss_D_real: -0.030432 Loss_D_fake 0.008466
[184/5000][315/535][18687] Loss_D: -0.038026 Loss_G: 0.014638 Loss_D_real: -0.015862 Loss_D_fake 0.022165
[184/5000][320/535][18688] Loss_D: -0.038131 Loss_G: 0.023289 Loss_D_real: -0.025930 Loss_D_fake 0.012201
[184/5000][325/535][18689] Loss_D: -0.038811 Loss_G: 0.006308 Loss_D_real: -0.014297 Loss_D_fake 0.024514
[184/5000][330/535][18690] Loss_D: -0.037934 Loss_G: 0.022535 Loss_D_real: -0.028919 Loss_D_fake 0.009016
[184/5000][335/535][18691] Loss_D: -0.037191 Loss_G: 0.030429 Loss_D_real: -0.024278 Loss_D_fake 0.012913
[184/5000][340/535][18692] Loss_D: -0.037265 Loss_G: 0.016556 Loss_D_real: -0.024008 Loss_D_fake 0.013257
[184/5000][345/535][18693] Loss_D: -0.037367 Loss_G: 0.041478 Loss_D_real: -0.041404 Loss_D_fake -0.004037
[184/5000][350/535][18694] Loss_D: -0.038210 Loss_G: 0.017127 Loss_D_real: -0.016160 Loss_D_fake 0.022050
[184/5000][355/535][18695] Loss_D: -0.037212 Loss_G: 0.039226 Loss_D_real: -0.030594 Loss_D_fake 0.006618
[184/5000][360/535][18696] Loss_D: -0.035472 Loss_G: -0.018320 Loss_D_real: 0.002357 Loss_D_fake 0.037829
[184/5000][365/535][18697] Loss_D: -0.033053 Loss_G: 0.033147 Loss_D_real: -0.038057 Loss_D_fake -0.005004
[184/5000][370/535][18698] Loss_D: -0.038373 Loss_G: 0.014645 Loss_D_real: -0.014566 Loss_D_fake 0.023807
[184/5000][375/535][18699] Loss_D: -0.035130 Loss_G: 0.038791 Loss_D_real: -0.037464 Loss_D_fake -0.002334
[184/5000][380/535][18700] Loss_D: -0.037363 Loss_G: 0.010298 Loss_D_real: -0.017555 Loss_D_fake 0.019808
[184/5000][385/535][18701] Loss_D: -0.036938 Loss_G: 0.035102 Loss_D_real: -0.033351 Loss_D_fake 0.003587
[184/5000][390/535][18702] Loss_D: -0.038318 Loss_G: 0.026980 Loss_D_real: -0.028030 Loss_D_fake 0.010288
[184/5000][395/535][18703] Loss_D: -0.037816 Loss_G: 0.029578 Loss_D_real: -0.037516 Loss_D_fake 0.000301
[184/5000][400/535][18704] Loss_D: -0.038610 Loss_G: 0.019987 Loss_D_real: -0.024904 Loss_D_fake 0.013707
[184/5000][405/535][18705] Loss_D: -0.038585 Loss_G: 0.013883 Loss_D_real: -0.021455 Loss_D_fake 0.017130
[184/5000][410/535][18706] Loss_D: -0.038716 Loss_G: 0.022350 Loss_D_real: -0.031032 Loss_D_fake 0.007685
[184/5000][415/535][18707] Loss_D: -0.037817 Loss_G: 0.036202 Loss_D_real: -0.032773 Loss_D_fake 0.005044
[184/5000][420/535][18708] Loss_D: -0.038809 Loss_G: 0.022990 Loss_D_real: -0.030286 Loss_D_fake 0.008523
[184/5000][425/535][18709] Loss_D: -0.038302 Loss_G: -0.008148 Loss_D_real: -0.011207 Loss_D_fake 0.027095
[184/5000][430/535][18710] Loss_D: -0.035510 Loss_G: 0.044519 Loss_D_real: -0.043913 Loss_D_fake -0.008403
[184/5000][435/535][18711] Loss_D: -0.039562 Loss_G: 0.001467 Loss_D_real: -0.013620 Loss_D_fake 0.025942
[184/5000][440/535][18712] Loss_D: -0.038902 Loss_G: 0.039130 Loss_D_real: -0.035183 Loss_D_fake 0.003719
[184/5000][445/535][18713] Loss_D: -0.038408 Loss_G: -0.010688 Loss_D_real: -0.007066 Loss_D_fake 0.031342
[184/5000][450/535][18714] Loss_D: -0.037472 Loss_G: -0.006478 Loss_D_real: -0.014802 Loss_D_fake 0.022669
[184/5000][455/535][18715] Loss_D: -0.038302 Loss_G: 0.016714 Loss_D_real: -0.021409 Loss_D_fake 0.016893
[184/5000][460/535][18716] Loss_D: -0.038049 Loss_G: -0.005171 Loss_D_real: -0.011563 Loss_D_fake 0.026486
[184/5000][465/535][18717] Loss_D: -0.037073 Loss_G: 0.034745 Loss_D_real: -0.039065 Loss_D_fake -0.001992
[184/5000][470/535][18718] Loss_D: -0.035961 Loss_G: -0.013640 Loss_D_real: -0.000326 Loss_D_fake 0.035635
[184/5000][475/535][18719] Loss_D: -0.037612 Loss_G: 0.032990 Loss_D_real: -0.039397 Loss_D_fake -0.001785
[184/5000][480/535][18720] Loss_D: -0.040076 Loss_G: 0.021853 Loss_D_real: -0.022379 Loss_D_fake 0.017697
[184/5000][485/535][18721] Loss_D: -0.040632 Loss_G: 0.028315 Loss_D_real: -0.024744 Loss_D_fake 0.015889
[184/5000][490/535][18722] Loss_D: -0.039827 Loss_G: 0.031845 Loss_D_real: -0.034055 Loss_D_fake 0.005771
[184/5000][495/535][18723] Loss_D: -0.038707 Loss_G: 0.019892 Loss_D_real: -0.022575 Loss_D_fake 0.016131
[184/5000][500/535][18724] Loss_D: -0.038822 Loss_G: -0.006248 Loss_D_real: -0.005142 Loss_D_fake 0.033681
[184/5000][505/535][18725] Loss_D: -0.036766 Loss_G: 0.035712 Loss_D_real: -0.034495 Loss_D_fake 0.002271
[184/5000][510/535][18726] Loss_D: -0.039141 Loss_G: 0.021493 Loss_D_real: -0.021651 Loss_D_fake 0.017490
[184/5000][515/535][18727] Loss_D: -0.037258 Loss_G: 0.038714 Loss_D_real: -0.034624 Loss_D_fake 0.002635
[184/5000][520/535][18728] Loss_D: -0.036537 Loss_G: -0.009061 Loss_D_real: -0.000673 Loss_D_fake 0.035864
[184/5000][525/535][18729] Loss_D: -0.036735 Loss_G: 0.038202 Loss_D_real: -0.041524 Loss_D_fake -0.004790
[184/5000][530/535][18730] Loss_D: -0.039334 Loss_G: 0.016121 Loss_D_real: -0.023557 Loss_D_fake 0.015777
[184/5000][535/535][18731] Loss_D: -0.036195 Loss_G: 0.017358 Loss_D_real: -0.021841 Loss_D_fake 0.014354
[185/5000][5/535][18732] Loss_D: -0.037590 Loss_G: 0.005158 Loss_D_real: -0.016710 Loss_D_fake 0.020880
[185/5000][10/535][18733] Loss_D: -0.037114 Loss_G: 0.014926 Loss_D_real: -0.025548 Loss_D_fake 0.011566
[185/5000][15/535][18734] Loss_D: -0.035390 Loss_G: 0.040663 Loss_D_real: -0.041437 Loss_D_fake -0.006047
[185/5000][20/535][18735] Loss_D: -0.038130 Loss_G: 0.009748 Loss_D_real: -0.012814 Loss_D_fake 0.025316
[185/5000][25/535][18736] Loss_D: -0.038794 Loss_G: 0.038026 Loss_D_real: -0.033551 Loss_D_fake 0.005243
[185/5000][30/535][18737] Loss_D: -0.039081 Loss_G: 0.031556 Loss_D_real: -0.025912 Loss_D_fake 0.013169
[185/5000][35/535][18738] Loss_D: -0.039509 Loss_G: 0.022097 Loss_D_real: -0.027639 Loss_D_fake 0.011870
[185/5000][40/535][18739] Loss_D: -0.038343 Loss_G: -0.011276 Loss_D_real: -0.007467 Loss_D_fake 0.030876
[185/5000][45/535][18740] Loss_D: -0.038659 Loss_G: 0.035727 Loss_D_real: -0.034597 Loss_D_fake 0.004062
[185/5000][50/535][18741] Loss_D: -0.036505 Loss_G: 0.011332 Loss_D_real: -0.017432 Loss_D_fake 0.019073
[185/5000][55/535][18742] Loss_D: -0.039208 Loss_G: 0.031538 Loss_D_real: -0.032985 Loss_D_fake 0.006223
[185/5000][60/535][18743] Loss_D: -0.038416 Loss_G: 0.020022 Loss_D_real: -0.028782 Loss_D_fake 0.009634
[185/5000][65/535][18744] Loss_D: -0.037782 Loss_G: 0.018133 Loss_D_real: -0.032911 Loss_D_fake 0.004871
[185/5000][70/535][18745] Loss_D: -0.039616 Loss_G: 0.035294 Loss_D_real: -0.036707 Loss_D_fake 0.002909
[185/5000][75/535][18746] Loss_D: -0.038799 Loss_G: -0.007821 Loss_D_real: -0.010366 Loss_D_fake 0.028432
[185/5000][80/535][18747] Loss_D: -0.037352 Loss_G: 0.042467 Loss_D_real: -0.045166 Loss_D_fake -0.007814
[185/5000][85/535][18748] Loss_D: -0.036367 Loss_G: -0.008813 Loss_D_real: -0.004153 Loss_D_fake 0.032214
[185/5000][90/535][18749] Loss_D: -0.038149 Loss_G: 0.029922 Loss_D_real: -0.027612 Loss_D_fake 0.010537
[185/5000][95/535][18750] Loss_D: -0.037699 Loss_G: 0.023563 Loss_D_real: -0.026489 Loss_D_fake 0.011211
[185/5000][100/535][18751] Loss_D: -0.037148 Loss_G: 0.038174 Loss_D_real: -0.038619 Loss_D_fake -0.001472
[185/5000][105/535][18752] Loss_D: -0.037741 Loss_G: -0.008787 Loss_D_real: -0.006178 Loss_D_fake 0.031562
[185/5000][110/535][18753] Loss_D: -0.036386 Loss_G: 0.007443 Loss_D_real: -0.014460 Loss_D_fake 0.021926
[185/5000][115/535][18754] Loss_D: -0.035965 Loss_G: 0.013522 Loss_D_real: -0.020441 Loss_D_fake 0.015524
[185/5000][120/535][18755] Loss_D: -0.037873 Loss_G: 0.028561 Loss_D_real: -0.031688 Loss_D_fake 0.006185
[185/5000][125/535][18756] Loss_D: -0.038200 Loss_G: 0.031225 Loss_D_real: -0.043559 Loss_D_fake -0.005359
[185/5000][130/535][18757] Loss_D: -0.038536 Loss_G: 0.019122 Loss_D_real: -0.021139 Loss_D_fake 0.017397
[185/5000][135/535][18758] Loss_D: -0.038046 Loss_G: 0.032272 Loss_D_real: -0.033520 Loss_D_fake 0.004526
[185/5000][140/535][18759] Loss_D: -0.036558 Loss_G: -0.021024 Loss_D_real: -0.000251 Loss_D_fake 0.036307
[185/5000][145/535][18760] Loss_D: -0.036303 Loss_G: 0.026445 Loss_D_real: -0.036889 Loss_D_fake -0.000585
[185/5000][150/535][18761] Loss_D: -0.036613 Loss_G: 0.013424 Loss_D_real: -0.013938 Loss_D_fake 0.022675
[185/5000][155/535][18762] Loss_D: -0.037003 Loss_G: 0.031833 Loss_D_real: -0.035245 Loss_D_fake 0.001758
[185/5000][160/535][18763] Loss_D: -0.037074 Loss_G: 0.003976 Loss_D_real: -0.012927 Loss_D_fake 0.024147
[185/5000][165/535][18764] Loss_D: -0.036211 Loss_G: 0.007532 Loss_D_real: -0.017638 Loss_D_fake 0.018573
[185/5000][170/535][18765] Loss_D: -0.038113 Loss_G: 0.020104 Loss_D_real: -0.024077 Loss_D_fake 0.014036
[185/5000][175/535][18766] Loss_D: -0.037766 Loss_G: -0.002251 Loss_D_real: -0.011488 Loss_D_fake 0.026279
[185/5000][180/535][18767] Loss_D: -0.036895 Loss_G: 0.026077 Loss_D_real: -0.032280 Loss_D_fake 0.004615
[185/5000][185/535][18768] Loss_D: -0.036062 Loss_G: 0.001762 Loss_D_real: -0.008399 Loss_D_fake 0.027663
[185/5000][190/535][18769] Loss_D: -0.037703 Loss_G: 0.020272 Loss_D_real: -0.033487 Loss_D_fake 0.004216
[185/5000][195/535][18770] Loss_D: -0.039475 Loss_G: 0.020337 Loss_D_real: -0.020284 Loss_D_fake 0.019191
[185/5000][200/535][18771] Loss_D: -0.038696 Loss_G: 0.015565 Loss_D_real: -0.024105 Loss_D_fake 0.014591
[185/5000][205/535][18772] Loss_D: -0.039148 Loss_G: 0.014040 Loss_D_real: -0.015905 Loss_D_fake 0.023244
[185/5000][210/535][18773] Loss_D: -0.035311 Loss_G: 0.037058 Loss_D_real: -0.043567 Loss_D_fake -0.008257
[185/5000][215/535][18774] Loss_D: -0.038952 Loss_G: 0.021578 Loss_D_real: -0.019798 Loss_D_fake 0.019154
[185/5000][220/535][18775] Loss_D: -0.035943 Loss_G: -0.006989 Loss_D_real: -0.001603 Loss_D_fake 0.034339
[185/5000][225/535][18776] Loss_D: -0.036959 Loss_G: 0.012162 Loss_D_real: -0.025968 Loss_D_fake 0.010991
[185/5000][230/535][18777] Loss_D: -0.037539 Loss_G: 0.019996 Loss_D_real: -0.026000 Loss_D_fake 0.011538
[185/5000][235/535][18778] Loss_D: -0.038561 Loss_G: 0.031126 Loss_D_real: -0.028448 Loss_D_fake 0.010113
[185/5000][240/535][18779] Loss_D: -0.038455 Loss_G: 0.018364 Loss_D_real: -0.026085 Loss_D_fake 0.012370
[185/5000][245/535][18780] Loss_D: -0.038553 Loss_G: 0.035049 Loss_D_real: -0.028399 Loss_D_fake 0.010153
[185/5000][250/535][18781] Loss_D: -0.038865 Loss_G: 0.019569 Loss_D_real: -0.023417 Loss_D_fake 0.015448
[185/5000][255/535][18782] Loss_D: -0.039354 Loss_G: 0.017401 Loss_D_real: -0.023565 Loss_D_fake 0.015788
[185/5000][260/535][18783] Loss_D: -0.039210 Loss_G: 0.036420 Loss_D_real: -0.034397 Loss_D_fake 0.004813
[185/5000][265/535][18784] Loss_D: -0.037548 Loss_G: -0.010649 Loss_D_real: -0.005253 Loss_D_fake 0.032296
[185/5000][270/535][18785] Loss_D: -0.037034 Loss_G: 0.036520 Loss_D_real: -0.041476 Loss_D_fake -0.004443
[185/5000][275/535][18786] Loss_D: -0.037541 Loss_G: 0.003630 Loss_D_real: -0.009996 Loss_D_fake 0.027545
[185/5000][280/535][18787] Loss_D: -0.038377 Loss_G: 0.027650 Loss_D_real: -0.024137 Loss_D_fake 0.014239
[185/5000][285/535][18788] Loss_D: -0.037999 Loss_G: 0.010277 Loss_D_real: -0.019017 Loss_D_fake 0.018982
[185/5000][290/535][18789] Loss_D: -0.040294 Loss_G: 0.035337 Loss_D_real: -0.035887 Loss_D_fake 0.004407
[185/5000][295/535][18790] Loss_D: -0.039223 Loss_G: 0.011738 Loss_D_real: -0.021449 Loss_D_fake 0.017774
[185/5000][300/535][18791] Loss_D: -0.037461 Loss_G: 0.035223 Loss_D_real: -0.041864 Loss_D_fake -0.004403
[185/5000][305/535][18792] Loss_D: -0.038235 Loss_G: -0.002438 Loss_D_real: -0.004413 Loss_D_fake 0.033821
[185/5000][310/535][18793] Loss_D: -0.038009 Loss_G: 0.013543 Loss_D_real: -0.023465 Loss_D_fake 0.014543
[185/5000][315/535][18794] Loss_D: -0.038826 Loss_G: 0.031554 Loss_D_real: -0.036092 Loss_D_fake 0.002734
[185/5000][320/535][18795] Loss_D: -0.035965 Loss_G: 0.042961 Loss_D_real: -0.032532 Loss_D_fake 0.003433
[185/5000][325/535][18796] Loss_D: -0.037653 Loss_G: 0.003511 Loss_D_real: -0.007103 Loss_D_fake 0.030550
[185/5000][330/535][18797] Loss_D: -0.036867 Loss_G: 0.013680 Loss_D_real: -0.023577 Loss_D_fake 0.013291
[185/5000][335/535][18798] Loss_D: -0.036763 Loss_G: 0.036231 Loss_D_real: -0.038358 Loss_D_fake -0.001595
[185/5000][340/535][18799] Loss_D: -0.036932 Loss_G: -0.007846 Loss_D_real: -0.006761 Loss_D_fake 0.030171
[185/5000][345/535][18800] Loss_D: -0.037197 Loss_G: 0.011787 Loss_D_real: -0.026197 Loss_D_fake 0.011000
[185/5000][350/535][18801] Loss_D: -0.037933 Loss_G: 0.010023 Loss_D_real: -0.022704 Loss_D_fake 0.015229
[185/5000][355/535][18802] Loss_D: -0.036708 Loss_G: 0.023932 Loss_D_real: -0.019996 Loss_D_fake 0.016713
[185/5000][360/535][18803] Loss_D: -0.036347 Loss_G: 0.006626 Loss_D_real: -0.009547 Loss_D_fake 0.026800
[185/5000][365/535][18804] Loss_D: -0.036915 Loss_G: 0.010248 Loss_D_real: -0.018221 Loss_D_fake 0.018694
[185/5000][370/535][18805] Loss_D: -0.039461 Loss_G: 0.022238 Loss_D_real: -0.024891 Loss_D_fake 0.014570
[185/5000][375/535][18806] Loss_D: -0.039522 Loss_G: 0.022898 Loss_D_real: -0.018942 Loss_D_fake 0.020580
[185/5000][380/535][18807] Loss_D: -0.037582 Loss_G: 0.042222 Loss_D_real: -0.039073 Loss_D_fake -0.001491
[185/5000][385/535][18808] Loss_D: -0.037379 Loss_G: 0.015308 Loss_D_real: -0.018427 Loss_D_fake 0.018952
[185/5000][390/535][18809] Loss_D: -0.037492 Loss_G: 0.027651 Loss_D_real: -0.029938 Loss_D_fake 0.007554
[185/5000][395/535][18810] Loss_D: -0.038450 Loss_G: 0.031081 Loss_D_real: -0.035096 Loss_D_fake 0.003354
[185/5000][400/535][18811] Loss_D: -0.039795 Loss_G: 0.005367 Loss_D_real: -0.016011 Loss_D_fake 0.023784
[185/5000][405/535][18812] Loss_D: -0.037960 Loss_G: 0.036447 Loss_D_real: -0.039608 Loss_D_fake -0.001648
[185/5000][410/535][18813] Loss_D: -0.037537 Loss_G: 0.005744 Loss_D_real: -0.018350 Loss_D_fake 0.019187
[185/5000][415/535][18814] Loss_D: -0.037002 Loss_G: 0.013600 Loss_D_real: -0.028750 Loss_D_fake 0.008251
[185/5000][420/535][18815] Loss_D: -0.037549 Loss_G: 0.034297 Loss_D_real: -0.031012 Loss_D_fake 0.006536
[185/5000][425/535][18816] Loss_D: -0.037888 Loss_G: -0.000239 Loss_D_real: -0.016381 Loss_D_fake 0.021508
[185/5000][430/535][18817] Loss_D: -0.037100 Loss_G: 0.036185 Loss_D_real: -0.030673 Loss_D_fake 0.006428
[185/5000][435/535][18818] Loss_D: -0.037985 Loss_G: 0.011497 Loss_D_real: -0.017011 Loss_D_fake 0.020974
[185/5000][440/535][18819] Loss_D: -0.038060 Loss_G: 0.003965 Loss_D_real: -0.011262 Loss_D_fake 0.026798
[185/5000][445/535][18820] Loss_D: -0.037500 Loss_G: 0.030972 Loss_D_real: -0.033798 Loss_D_fake 0.003701
[185/5000][450/535][18821] Loss_D: -0.036259 Loss_G: 0.004685 Loss_D_real: -0.005109 Loss_D_fake 0.031150
[185/5000][455/535][18822] Loss_D: -0.036785 Loss_G: 0.028729 Loss_D_real: -0.029377 Loss_D_fake 0.007408
[185/5000][460/535][18823] Loss_D: -0.037483 Loss_G: -0.002228 Loss_D_real: -0.011195 Loss_D_fake 0.026289
[185/5000][465/535][18824] Loss_D: -0.036723 Loss_G: 0.018329 Loss_D_real: -0.026118 Loss_D_fake 0.010605
[185/5000][470/535][18825] Loss_D: -0.037993 Loss_G: 0.009761 Loss_D_real: -0.018616 Loss_D_fake 0.019377
[185/5000][475/535][18826] Loss_D: -0.036078 Loss_G: 0.032235 Loss_D_real: -0.033358 Loss_D_fake 0.002720
[185/5000][480/535][18827] Loss_D: -0.037337 Loss_G: 0.008004 Loss_D_real: -0.023075 Loss_D_fake 0.014262
[185/5000][485/535][18828] Loss_D: -0.036030 Loss_G: 0.036841 Loss_D_real: -0.045546 Loss_D_fake -0.009516
[185/5000][490/535][18829] Loss_D: -0.037642 Loss_G: -0.003706 Loss_D_real: -0.008090 Loss_D_fake 0.029553
[185/5000][495/535][18830] Loss_D: -0.037280 Loss_G: 0.017403 Loss_D_real: -0.023231 Loss_D_fake 0.014049
[185/5000][500/535][18831] Loss_D: -0.036176 Loss_G: 0.039767 Loss_D_real: -0.035713 Loss_D_fake 0.000463
[185/5000][505/535][18832] Loss_D: -0.037764 Loss_G: -0.005879 Loss_D_real: -0.010792 Loss_D_fake 0.026972
[185/5000][510/535][18833] Loss_D: -0.036048 Loss_G: 0.028248 Loss_D_real: -0.038464 Loss_D_fake -0.002416
[185/5000][515/535][18834] Loss_D: -0.038753 Loss_G: 0.029249 Loss_D_real: -0.026610 Loss_D_fake 0.012142
[185/5000][520/535][18835] Loss_D: -0.040024 Loss_G: 0.012837 Loss_D_real: -0.026324 Loss_D_fake 0.013700
[185/5000][525/535][18836] Loss_D: -0.038308 Loss_G: 0.038780 Loss_D_real: -0.031850 Loss_D_fake 0.006457
[185/5000][530/535][18837] Loss_D: -0.038895 Loss_G: 0.015411 Loss_D_real: -0.020983 Loss_D_fake 0.017911
[185/5000][535/535][18838] Loss_D: -0.039285 Loss_G: 0.000840 Loss_D_real: -0.011340 Loss_D_fake 0.027945
[186/5000][5/535][18839] Loss_D: -0.038692 Loss_G: 0.027047 Loss_D_real: -0.030078 Loss_D_fake 0.008614
[186/5000][10/535][18840] Loss_D: -0.038467 Loss_G: 0.001034 Loss_D_real: -0.009721 Loss_D_fake 0.028746
[186/5000][15/535][18841] Loss_D: -0.038113 Loss_G: 0.013847 Loss_D_real: -0.017169 Loss_D_fake 0.020944
[186/5000][20/535][18842] Loss_D: -0.036781 Loss_G: 0.032784 Loss_D_real: -0.033436 Loss_D_fake 0.003344
[186/5000][25/535][18843] Loss_D: -0.037945 Loss_G: 0.046000 Loss_D_real: -0.047995 Loss_D_fake -0.010050
[186/5000][30/535][18844] Loss_D: -0.039200 Loss_G: -0.002961 Loss_D_real: -0.005102 Loss_D_fake 0.034097
[186/5000][35/535][18845] Loss_D: -0.037424 Loss_G: 0.030937 Loss_D_real: -0.035955 Loss_D_fake 0.001469
[186/5000][40/535][18846] Loss_D: -0.039046 Loss_G: -0.012372 Loss_D_real: -0.002981 Loss_D_fake 0.036065
[186/5000][45/535][18847] Loss_D: -0.038357 Loss_G: 0.027675 Loss_D_real: -0.026776 Loss_D_fake 0.011581
[186/5000][50/535][18848] Loss_D: -0.039789 Loss_G: 0.003883 Loss_D_real: -0.015168 Loss_D_fake 0.024621
[186/5000][55/535][18849] Loss_D: -0.038421 Loss_G: 0.026489 Loss_D_real: -0.023040 Loss_D_fake 0.015382
[186/5000][60/535][18850] Loss_D: -0.039206 Loss_G: 0.020923 Loss_D_real: -0.029197 Loss_D_fake 0.010009
[186/5000][65/535][18851] Loss_D: -0.038773 Loss_G: 0.010863 Loss_D_real: -0.020367 Loss_D_fake 0.018406
[186/5000][70/535][18852] Loss_D: -0.037062 Loss_G: 0.011617 Loss_D_real: -0.019976 Loss_D_fake 0.017086
[186/5000][75/535][18853] Loss_D: -0.038032 Loss_G: 0.001691 Loss_D_real: -0.014667 Loss_D_fake 0.023365
[186/5000][80/535][18854] Loss_D: -0.037932 Loss_G: 0.027132 Loss_D_real: -0.029359 Loss_D_fake 0.008572
[186/5000][85/535][18855] Loss_D: -0.037629 Loss_G: 0.010800 Loss_D_real: -0.005518 Loss_D_fake 0.032111
[186/5000][90/535][18856] Loss_D: -0.037734 Loss_G: 0.037224 Loss_D_real: -0.039424 Loss_D_fake -0.001689
[186/5000][95/535][18857] Loss_D: -0.036208 Loss_G: -0.002003 Loss_D_real: -0.004090 Loss_D_fake 0.032118
[186/5000][100/535][18858] Loss_D: -0.037375 Loss_G: 0.016775 Loss_D_real: -0.032392 Loss_D_fake 0.004983
[186/5000][105/535][18859] Loss_D: -0.037234 Loss_G: 0.038302 Loss_D_real: -0.047898 Loss_D_fake -0.010664
[186/5000][110/535][18860] Loss_D: -0.039325 Loss_G: 0.005362 Loss_D_real: -0.012141 Loss_D_fake 0.027184
[186/5000][115/535][18861] Loss_D: -0.038851 Loss_G: 0.018619 Loss_D_real: -0.023830 Loss_D_fake 0.015021
[186/5000][120/535][18862] Loss_D: -0.037475 Loss_G: 0.029505 Loss_D_real: -0.032989 Loss_D_fake 0.004486
[186/5000][125/535][18863] Loss_D: -0.037320 Loss_G: 0.048676 Loss_D_real: -0.045514 Loss_D_fake -0.008194
[186/5000][130/535][18864] Loss_D: -0.037512 Loss_G: 0.018269 Loss_D_real: -0.019128 Loss_D_fake 0.018383
[186/5000][135/535][18865] Loss_D: -0.038141 Loss_G: 0.032969 Loss_D_real: -0.033022 Loss_D_fake 0.005119
[186/5000][140/535][18866] Loss_D: -0.039156 Loss_G: 0.010725 Loss_D_real: -0.013365 Loss_D_fake 0.025791
[186/5000][145/535][18867] Loss_D: -0.037669 Loss_G: 0.027129 Loss_D_real: -0.031573 Loss_D_fake 0.006096
[186/5000][150/535][18868] Loss_D: -0.036729 Loss_G: 0.005089 Loss_D_real: -0.012134 Loss_D_fake 0.024596
[186/5000][155/535][18869] Loss_D: -0.036394 Loss_G: 0.027291 Loss_D_real: -0.030671 Loss_D_fake 0.005723
[186/5000][160/535][18870] Loss_D: -0.037079 Loss_G: 0.024778 Loss_D_real: -0.026519 Loss_D_fake 0.010560
[186/5000][165/535][18871] Loss_D: -0.037556 Loss_G: 0.002796 Loss_D_real: -0.014470 Loss_D_fake 0.023087
[186/5000][170/535][18872] Loss_D: -0.037197 Loss_G: 0.015279 Loss_D_real: -0.021857 Loss_D_fake 0.015340
[186/5000][175/535][18873] Loss_D: -0.039245 Loss_G: 0.031150 Loss_D_real: -0.025024 Loss_D_fake 0.014220
[186/5000][180/535][18874] Loss_D: -0.035999 Loss_G: -0.010112 Loss_D_real: -0.003320 Loss_D_fake 0.032679
[186/5000][185/535][18875] Loss_D: -0.036630 Loss_G: 0.022688 Loss_D_real: -0.027346 Loss_D_fake 0.009285
[186/5000][190/535][18876] Loss_D: -0.038364 Loss_G: 0.019163 Loss_D_real: -0.022448 Loss_D_fake 0.015916
[186/5000][195/535][18877] Loss_D: -0.036747 Loss_G: 0.029313 Loss_D_real: -0.033067 Loss_D_fake 0.003680
[186/5000][200/535][18878] Loss_D: -0.037401 Loss_G: 0.015537 Loss_D_real: -0.018856 Loss_D_fake 0.018546
[186/5000][205/535][18879] Loss_D: -0.036052 Loss_G: 0.033140 Loss_D_real: -0.037087 Loss_D_fake -0.001035
[186/5000][210/535][18880] Loss_D: -0.037770 Loss_G: 0.005636 Loss_D_real: -0.016759 Loss_D_fake 0.021011
[186/5000][215/535][18881] Loss_D: -0.036431 Loss_G: 0.037150 Loss_D_real: -0.043031 Loss_D_fake -0.006599
[186/5000][220/535][18882] Loss_D: -0.037847 Loss_G: 0.004062 Loss_D_real: -0.017069 Loss_D_fake 0.020778
[186/5000][225/535][18883] Loss_D: -0.037415 Loss_G: 0.021779 Loss_D_real: -0.035170 Loss_D_fake 0.002246
[186/5000][230/535][18884] Loss_D: -0.038510 Loss_G: 0.008152 Loss_D_real: -0.015319 Loss_D_fake 0.023191
[186/5000][235/535][18885] Loss_D: -0.037316 Loss_G: -0.004482 Loss_D_real: -0.018681 Loss_D_fake 0.018635
[186/5000][240/535][18886] Loss_D: -0.035502 Loss_G: 0.045133 Loss_D_real: -0.043910 Loss_D_fake -0.008408
[186/5000][245/535][18887] Loss_D: -0.036989 Loss_G: 0.001758 Loss_D_real: -0.011351 Loss_D_fake 0.025637
[186/5000][250/535][18888] Loss_D: -0.037906 Loss_G: 0.033468 Loss_D_real: -0.036166 Loss_D_fake 0.001740
[186/5000][255/535][18889] Loss_D: -0.035900 Loss_G: -0.007061 Loss_D_real: -0.009093 Loss_D_fake 0.026807
[186/5000][260/535][18890] Loss_D: -0.038046 Loss_G: 0.026577 Loss_D_real: -0.040152 Loss_D_fake -0.002106
[186/5000][265/535][18891] Loss_D: -0.038004 Loss_G: 0.032308 Loss_D_real: -0.030867 Loss_D_fake 0.007137
[186/5000][270/535][18892] Loss_D: -0.037887 Loss_G: -0.008631 Loss_D_real: -0.006918 Loss_D_fake 0.030970
[186/5000][275/535][18893] Loss_D: -0.037246 Loss_G: 0.042776 Loss_D_real: -0.033838 Loss_D_fake 0.003408
[186/5000][280/535][18894] Loss_D: -0.038155 Loss_G: 0.008238 Loss_D_real: -0.011455 Loss_D_fake 0.026700
[186/5000][285/535][18895] Loss_D: -0.039159 Loss_G: 0.016128 Loss_D_real: -0.022834 Loss_D_fake 0.016324
[186/5000][290/535][18896] Loss_D: -0.038634 Loss_G: 0.027529 Loss_D_real: -0.031088 Loss_D_fake 0.007546
[186/5000][295/535][18897] Loss_D: -0.040461 Loss_G: 0.024944 Loss_D_real: -0.021511 Loss_D_fake 0.018950
[186/5000][300/535][18898] Loss_D: -0.040484 Loss_G: 0.019306 Loss_D_real: -0.024257 Loss_D_fake 0.016227
[186/5000][305/535][18899] Loss_D: -0.039235 Loss_G: 0.021545 Loss_D_real: -0.019134 Loss_D_fake 0.020101
[186/5000][310/535][18900] Loss_D: -0.038381 Loss_G: 0.032450 Loss_D_real: -0.027546 Loss_D_fake 0.010835
[186/5000][315/535][18901] Loss_D: -0.037766 Loss_G: 0.026433 Loss_D_real: -0.024515 Loss_D_fake 0.013251
[186/5000][320/535][18902] Loss_D: -0.037730 Loss_G: 0.016062 Loss_D_real: -0.022145 Loss_D_fake 0.015586
[186/5000][325/535][18903] Loss_D: -0.038773 Loss_G: 0.030495 Loss_D_real: -0.029488 Loss_D_fake 0.009285
[186/5000][330/535][18904] Loss_D: -0.037561 Loss_G: -0.014826 Loss_D_real: 0.001511 Loss_D_fake 0.039071
[186/5000][335/535][18905] Loss_D: -0.036986 Loss_G: 0.021197 Loss_D_real: -0.026849 Loss_D_fake 0.010137
[186/5000][340/535][18906] Loss_D: -0.037377 Loss_G: 0.020287 Loss_D_real: -0.028478 Loss_D_fake 0.008898
[186/5000][345/535][18907] Loss_D: -0.037408 Loss_G: 0.044793 Loss_D_real: -0.038004 Loss_D_fake -0.000596
[186/5000][350/535][18908] Loss_D: -0.037888 Loss_G: -0.020082 Loss_D_real: 0.002403 Loss_D_fake 0.040291
[186/5000][355/535][18909] Loss_D: -0.036670 Loss_G: 0.025246 Loss_D_real: -0.030291 Loss_D_fake 0.006378
[186/5000][360/535][18910] Loss_D: -0.038886 Loss_G: 0.028214 Loss_D_real: -0.022112 Loss_D_fake 0.016774
[186/5000][365/535][18911] Loss_D: -0.038232 Loss_G: 0.011706 Loss_D_real: -0.022001 Loss_D_fake 0.016231
[186/5000][370/535][18912] Loss_D: -0.036585 Loss_G: 0.040850 Loss_D_real: -0.039089 Loss_D_fake -0.002504
[186/5000][375/535][18913] Loss_D: -0.036571 Loss_G: -0.001125 Loss_D_real: -0.008524 Loss_D_fake 0.028047
[186/5000][380/535][18914] Loss_D: -0.036433 Loss_G: 0.024411 Loss_D_real: -0.029979 Loss_D_fake 0.006454
[186/5000][385/535][18915] Loss_D: -0.037541 Loss_G: 0.005222 Loss_D_real: -0.010795 Loss_D_fake 0.026745
[186/5000][390/535][18916] Loss_D: -0.038422 Loss_G: 0.030113 Loss_D_real: -0.033883 Loss_D_fake 0.004539
[186/5000][395/535][18917] Loss_D: -0.039426 Loss_G: 0.007359 Loss_D_real: -0.010057 Loss_D_fake 0.029369
[186/5000][400/535][18918] Loss_D: -0.036449 Loss_G: 0.037092 Loss_D_real: -0.037584 Loss_D_fake -0.001135
[186/5000][405/535][18919] Loss_D: -0.036246 Loss_G: 0.008934 Loss_D_real: -0.017782 Loss_D_fake 0.018464
[186/5000][410/535][18920] Loss_D: -0.036977 Loss_G: 0.036370 Loss_D_real: -0.036926 Loss_D_fake 0.000050
[186/5000][415/535][18921] Loss_D: -0.038769 Loss_G: 0.012386 Loss_D_real: -0.019101 Loss_D_fake 0.019668
[186/5000][420/535][18922] Loss_D: -0.038332 Loss_G: 0.022312 Loss_D_real: -0.032210 Loss_D_fake 0.006123
[186/5000][425/535][18923] Loss_D: -0.038077 Loss_G: 0.030279 Loss_D_real: -0.031059 Loss_D_fake 0.007018
[186/5000][430/535][18924] Loss_D: -0.038649 Loss_G: 0.026835 Loss_D_real: -0.026839 Loss_D_fake 0.011810
[186/5000][435/535][18925] Loss_D: -0.039669 Loss_G: 0.005734 Loss_D_real: -0.016981 Loss_D_fake 0.022688
[186/5000][440/535][18926] Loss_D: -0.036689 Loss_G: 0.009790 Loss_D_real: -0.020318 Loss_D_fake 0.016371
[186/5000][445/535][18927] Loss_D: -0.036121 Loss_G: 0.019292 Loss_D_real: -0.019682 Loss_D_fake 0.016439
[186/5000][450/535][18928] Loss_D: -0.034160 Loss_G: 0.042068 Loss_D_real: -0.045063 Loss_D_fake -0.010903
[186/5000][455/535][18929] Loss_D: -0.036999 Loss_G: 0.024556 Loss_D_real: -0.030536 Loss_D_fake 0.006463
[186/5000][460/535][18930] Loss_D: -0.038014 Loss_G: 0.022868 Loss_D_real: -0.020830 Loss_D_fake 0.017184
[186/5000][465/535][18931] Loss_D: -0.036767 Loss_G: 0.042678 Loss_D_real: -0.049348 Loss_D_fake -0.012581
[186/5000][470/535][18932] Loss_D: -0.035473 Loss_G: -0.015627 Loss_D_real: 0.010433 Loss_D_fake 0.045907
[186/5000][475/535][18933] Loss_D: -0.035095 Loss_G: 0.028128 Loss_D_real: -0.034524 Loss_D_fake 0.000571
[186/5000][480/535][18934] Loss_D: -0.037958 Loss_G: 0.009638 Loss_D_real: -0.020452 Loss_D_fake 0.017506
[186/5000][485/535][18935] Loss_D: -0.037238 Loss_G: 0.011502 Loss_D_real: -0.013987 Loss_D_fake 0.023251
[186/5000][490/535][18936] Loss_D: -0.036228 Loss_G: 0.004281 Loss_D_real: -0.011730 Loss_D_fake 0.024498
[186/5000][495/535][18937] Loss_D: -0.036449 Loss_G: 0.030661 Loss_D_real: -0.038427 Loss_D_fake -0.001978
[186/5000][500/535][18938] Loss_D: -0.035715 Loss_G: 0.016341 Loss_D_real: -0.017789 Loss_D_fake 0.017926
[186/5000][505/535][18939] Loss_D: -0.038404 Loss_G: -0.004219 Loss_D_real: -0.009644 Loss_D_fake 0.028759
[186/5000][510/535][18940] Loss_D: -0.036901 Loss_G: 0.032232 Loss_D_real: -0.035276 Loss_D_fake 0.001626
[186/5000][515/535][18941] Loss_D: -0.038670 Loss_G: 0.023499 Loss_D_real: -0.026841 Loss_D_fake 0.011829
[186/5000][520/535][18942] Loss_D: -0.038479 Loss_G: 0.022546 Loss_D_real: -0.018072 Loss_D_fake 0.020407
[186/5000][525/535][18943] Loss_D: -0.038856 Loss_G: 0.014346 Loss_D_real: -0.017963 Loss_D_fake 0.020893
[186/5000][530/535][18944] Loss_D: -0.038320 Loss_G: 0.012572 Loss_D_real: -0.013704 Loss_D_fake 0.024616
[186/5000][535/535][18945] Loss_D: -0.034669 Loss_G: 0.049579 Loss_D_real: -0.031892 Loss_D_fake 0.002776
[187/5000][5/535][18946] Loss_D: -0.037612 Loss_G: 0.006859 Loss_D_real: -0.015198 Loss_D_fake 0.022414
[187/5000][10/535][18947] Loss_D: -0.037260 Loss_G: 0.010212 Loss_D_real: -0.022743 Loss_D_fake 0.014518
[187/5000][15/535][18948] Loss_D: -0.038516 Loss_G: 0.026315 Loss_D_real: -0.024688 Loss_D_fake 0.013828
[187/5000][20/535][18949] Loss_D: -0.039740 Loss_G: 0.010744 Loss_D_real: -0.023729 Loss_D_fake 0.016011
[187/5000][25/535][18950] Loss_D: -0.039627 Loss_G: 0.034866 Loss_D_real: -0.031579 Loss_D_fake 0.008048
[187/5000][30/535][18951] Loss_D: -0.039020 Loss_G: 0.027855 Loss_D_real: -0.030824 Loss_D_fake 0.008197
[187/5000][35/535][18952] Loss_D: -0.038479 Loss_G: 0.020564 Loss_D_real: -0.026199 Loss_D_fake 0.012280
[187/5000][40/535][18953] Loss_D: -0.039484 Loss_G: 0.031061 Loss_D_real: -0.028863 Loss_D_fake 0.010621
[187/5000][45/535][18954] Loss_D: -0.037439 Loss_G: -0.008224 Loss_D_real: -0.003596 Loss_D_fake 0.033844
[187/5000][50/535][18955] Loss_D: -0.036511 Loss_G: 0.027538 Loss_D_real: -0.037435 Loss_D_fake -0.000924
[187/5000][55/535][18956] Loss_D: -0.036799 Loss_G: 0.005951 Loss_D_real: -0.011880 Loss_D_fake 0.024919
[187/5000][60/535][18957] Loss_D: -0.037205 Loss_G: 0.032886 Loss_D_real: -0.033651 Loss_D_fake 0.003554
[187/5000][65/535][18958] Loss_D: -0.038458 Loss_G: 0.003203 Loss_D_real: -0.014375 Loss_D_fake 0.024083
[187/5000][70/535][18959] Loss_D: -0.037447 Loss_G: 0.043012 Loss_D_real: -0.045347 Loss_D_fake -0.007901
[187/5000][75/535][18960] Loss_D: -0.038307 Loss_G: 0.035647 Loss_D_real: -0.033832 Loss_D_fake 0.004475
[187/5000][80/535][18961] Loss_D: -0.038163 Loss_G: 0.005464 Loss_D_real: -0.011238 Loss_D_fake 0.026925
[187/5000][85/535][18962] Loss_D: -0.036723 Loss_G: 0.029236 Loss_D_real: -0.030505 Loss_D_fake 0.006218
[187/5000][90/535][18963] Loss_D: -0.036553 Loss_G: 0.011984 Loss_D_real: -0.020069 Loss_D_fake 0.016484
[187/5000][95/535][18964] Loss_D: -0.038477 Loss_G: 0.027501 Loss_D_real: -0.032450 Loss_D_fake 0.006027
[187/5000][100/535][18965] Loss_D: -0.039383 Loss_G: 0.031406 Loss_D_real: -0.031201 Loss_D_fake 0.008182
[187/5000][105/535][18966] Loss_D: -0.038140 Loss_G: 0.027614 Loss_D_real: -0.025549 Loss_D_fake 0.012591
[187/5000][110/535][18967] Loss_D: -0.039868 Loss_G: 0.035666 Loss_D_real: -0.034996 Loss_D_fake 0.004873
[187/5000][115/535][18968] Loss_D: -0.038030 Loss_G: -0.006287 Loss_D_real: -0.006414 Loss_D_fake 0.031615
[187/5000][120/535][18969] Loss_D: -0.037469 Loss_G: 0.031513 Loss_D_real: -0.036143 Loss_D_fake 0.001326
[187/5000][125/535][18970] Loss_D: -0.039007 Loss_G: 0.000160 Loss_D_real: -0.019477 Loss_D_fake 0.019530
[187/5000][130/535][18971] Loss_D: -0.038207 Loss_G: 0.009620 Loss_D_real: -0.023112 Loss_D_fake 0.015095
[187/5000][135/535][18972] Loss_D: -0.036687 Loss_G: 0.033500 Loss_D_real: -0.028784 Loss_D_fake 0.007903
[187/5000][140/535][18973] Loss_D: -0.038026 Loss_G: 0.015355 Loss_D_real: -0.024023 Loss_D_fake 0.014003
[187/5000][145/535][18974] Loss_D: -0.039183 Loss_G: 0.010795 Loss_D_real: -0.018523 Loss_D_fake 0.020660
[187/5000][150/535][18975] Loss_D: -0.039249 Loss_G: 0.032617 Loss_D_real: -0.038842 Loss_D_fake 0.000408
[187/5000][155/535][18976] Loss_D: -0.036416 Loss_G: 0.041541 Loss_D_real: -0.038974 Loss_D_fake -0.002558
[187/5000][160/535][18977] Loss_D: -0.036934 Loss_G: -0.011895 Loss_D_real: -0.005887 Loss_D_fake 0.031047
[187/5000][165/535][18978] Loss_D: -0.036677 Loss_G: 0.025287 Loss_D_real: -0.032505 Loss_D_fake 0.004172
[187/5000][170/535][18979] Loss_D: -0.037596 Loss_G: 0.024122 Loss_D_real: -0.032642 Loss_D_fake 0.004954
[187/5000][175/535][18980] Loss_D: -0.038106 Loss_G: -0.002665 Loss_D_real: -0.007935 Loss_D_fake 0.030171
[187/5000][180/535][18981] Loss_D: -0.037722 Loss_G: 0.015272 Loss_D_real: -0.026958 Loss_D_fake 0.010764
[187/5000][185/535][18982] Loss_D: -0.037742 Loss_G: 0.033457 Loss_D_real: -0.033415 Loss_D_fake 0.004327
[187/5000][190/535][18983] Loss_D: -0.037227 Loss_G: -0.004999 Loss_D_real: 0.001020 Loss_D_fake 0.038247
[187/5000][195/535][18984] Loss_D: -0.037868 Loss_G: 0.027302 Loss_D_real: -0.035341 Loss_D_fake 0.002527
[187/5000][200/535][18985] Loss_D: -0.036772 Loss_G: 0.016094 Loss_D_real: -0.018532 Loss_D_fake 0.018240
[187/5000][205/535][18986] Loss_D: -0.035635 Loss_G: 0.039702 Loss_D_real: -0.041600 Loss_D_fake -0.005965
[187/5000][210/535][18987] Loss_D: -0.038417 Loss_G: 0.010161 Loss_D_real: -0.018321 Loss_D_fake 0.020096
[187/5000][215/535][18988] Loss_D: -0.038126 Loss_G: 0.009200 Loss_D_real: -0.025430 Loss_D_fake 0.012696
[187/5000][220/535][18989] Loss_D: -0.037259 Loss_G: 0.041663 Loss_D_real: -0.042907 Loss_D_fake -0.005648
[187/5000][225/535][18990] Loss_D: -0.036884 Loss_G: 0.021773 Loss_D_real: -0.018910 Loss_D_fake 0.017974
[187/5000][230/535][18991] Loss_D: -0.038339 Loss_G: 0.019706 Loss_D_real: -0.023512 Loss_D_fake 0.014827
[187/5000][235/535][18992] Loss_D: -0.038071 Loss_G: 0.032938 Loss_D_real: -0.032124 Loss_D_fake 0.005947
[187/5000][240/535][18993] Loss_D: -0.038690 Loss_G: 0.018817 Loss_D_real: -0.011984 Loss_D_fake 0.026706
[187/5000][245/535][18994] Loss_D: -0.038158 Loss_G: 0.038214 Loss_D_real: -0.035473 Loss_D_fake 0.002685
[187/5000][250/535][18995] Loss_D: -0.037712 Loss_G: 0.007184 Loss_D_real: -0.017324 Loss_D_fake 0.020388
[187/5000][255/535][18996] Loss_D: -0.038349 Loss_G: 0.013146 Loss_D_real: -0.013484 Loss_D_fake 0.024865
[187/5000][260/535][18997] Loss_D: -0.036593 Loss_G: 0.006322 Loss_D_real: -0.012427 Loss_D_fake 0.024166
[187/5000][265/535][18998] Loss_D: -0.036159 Loss_G: 0.040895 Loss_D_real: -0.038275 Loss_D_fake -0.002116
[187/5000][270/535][18999] Loss_D: -0.037209 Loss_G: 0.021542 Loss_D_real: -0.029849 Loss_D_fake 0.007360
[187/5000][275/535][19000] Loss_D: -0.038669 Loss_G: 0.026103 Loss_D_real: -0.027290 Loss_D_fake 0.011379
[187/5000][375/535][19001] Loss_D: -0.039959 Loss_G: 0.025645 Loss_D_real: -0.023125 Loss_D_fake 0.016835
[187/5000][380/535][19002] Loss_D: -0.038770 Loss_G: 0.040203 Loss_D_real: -0.031125 Loss_D_fake 0.007645
[187/5000][385/535][19003] Loss_D: -0.035901 Loss_G: 0.009953 Loss_D_real: -0.021936 Loss_D_fake 0.013966
[187/5000][390/535][19004] Loss_D: -0.035882 Loss_G: 0.020003 Loss_D_real: -0.028353 Loss_D_fake 0.007529
[187/5000][395/535][19005] Loss_D: -0.037253 Loss_G: 0.030192 Loss_D_real: -0.033390 Loss_D_fake 0.003863
[187/5000][400/535][19006] Loss_D: -0.038123 Loss_G: 0.004922 Loss_D_real: -0.018481 Loss_D_fake 0.019642
[187/5000][405/535][19007] Loss_D: -0.037453 Loss_G: 0.030627 Loss_D_real: -0.036707 Loss_D_fake 0.000746
[187/5000][410/535][19008] Loss_D: -0.036717 Loss_G: 0.012192 Loss_D_real: -0.021595 Loss_D_fake 0.015122
[187/5000][415/535][19009] Loss_D: -0.037198 Loss_G: 0.029598 Loss_D_real: -0.032965 Loss_D_fake 0.004233
[187/5000][420/535][19010] Loss_D: -0.038176 Loss_G: 0.004776 Loss_D_real: -0.016129 Loss_D_fake 0.022047
[187/5000][425/535][19011] Loss_D: -0.037575 Loss_G: -0.004574 Loss_D_real: -0.009408 Loss_D_fake 0.028167
[187/5000][430/535][19012] Loss_D: -0.032363 Loss_G: 0.040298 Loss_D_real: -0.049987 Loss_D_fake -0.017624
[187/5000][435/535][19013] Loss_D: -0.039214 Loss_G: -0.002625 Loss_D_real: -0.016938 Loss_D_fake 0.022277
[187/5000][440/535][19014] Loss_D: -0.037118 Loss_G: 0.034636 Loss_D_real: -0.039313 Loss_D_fake -0.002194
[187/5000][445/535][19015] Loss_D: -0.039473 Loss_G: 0.011126 Loss_D_real: -0.021796 Loss_D_fake 0.017678
[187/5000][450/535][19016] Loss_D: -0.038669 Loss_G: 0.012606 Loss_D_real: -0.024511 Loss_D_fake 0.014159
[187/5000][455/535][19017] Loss_D: -0.038040 Loss_G: 0.018740 Loss_D_real: -0.026058 Loss_D_fake 0.011982
[187/5000][460/535][19018] Loss_D: -0.036727 Loss_G: -0.017577 Loss_D_real: -0.006572 Loss_D_fake 0.030155
[187/5000][465/535][19019] Loss_D: -0.034495 Loss_G: 0.035596 Loss_D_real: -0.041996 Loss_D_fake -0.007501
[187/5000][470/535][19020] Loss_D: -0.035205 Loss_G: 0.010857 Loss_D_real: -0.010885 Loss_D_fake 0.024320
[187/5000][475/535][19021] Loss_D: -0.035412 Loss_G: 0.031809 Loss_D_real: -0.032062 Loss_D_fake 0.003350
[187/5000][480/535][19022] Loss_D: -0.035391 Loss_G: 0.015058 Loss_D_real: -0.019659 Loss_D_fake 0.015732
[187/5000][485/535][19023] Loss_D: -0.036504 Loss_G: 0.012072 Loss_D_real: -0.020546 Loss_D_fake 0.015958
[187/5000][490/535][19024] Loss_D: -0.036641 Loss_G: 0.025364 Loss_D_real: -0.029442 Loss_D_fake 0.007199
[187/5000][495/535][19025] Loss_D: -0.038138 Loss_G: 0.026036 Loss_D_real: -0.024843 Loss_D_fake 0.013295
[187/5000][500/535][19026] Loss_D: -0.037806 Loss_G: 0.024111 Loss_D_real: -0.025053 Loss_D_fake 0.012753
[187/5000][505/535][19027] Loss_D: -0.038130 Loss_G: 0.026890 Loss_D_real: -0.022920 Loss_D_fake 0.015209
[187/5000][510/535][19028] Loss_D: -0.036283 Loss_G: 0.002171 Loss_D_real: -0.012419 Loss_D_fake 0.023865
[187/5000][515/535][19029] Loss_D: -0.034247 Loss_G: 0.039857 Loss_D_real: -0.040163 Loss_D_fake -0.005916
[187/5000][520/535][19030] Loss_D: -0.036873 Loss_G: 0.000140 Loss_D_real: -0.014750 Loss_D_fake 0.022123
[187/5000][525/535][19031] Loss_D: -0.037463 Loss_G: 0.016799 Loss_D_real: -0.021192 Loss_D_fake 0.016271
[187/5000][530/535][19032] Loss_D: -0.037424 Loss_G: 0.022157 Loss_D_real: -0.027715 Loss_D_fake 0.009709
[187/5000][535/535][19033] Loss_D: -0.037893 Loss_G: 0.030641 Loss_D_real: -0.027010 Loss_D_fake 0.010883
[188/5000][5/535][19034] Loss_D: -0.039639 Loss_G: 0.017934 Loss_D_real: -0.020473 Loss_D_fake 0.019166
[188/5000][10/535][19035] Loss_D: -0.036201 Loss_G: 0.005020 Loss_D_real: -0.014513 Loss_D_fake 0.021688
[188/5000][15/535][19036] Loss_D: -0.037276 Loss_G: 0.026962 Loss_D_real: -0.023730 Loss_D_fake 0.013546
[188/5000][20/535][19037] Loss_D: -0.037104 Loss_G: 0.001578 Loss_D_real: -0.008513 Loss_D_fake 0.028591
[188/5000][25/535][19038] Loss_D: -0.039175 Loss_G: 0.035876 Loss_D_real: -0.030214 Loss_D_fake 0.008961
[188/5000][30/535][19039] Loss_D: -0.037709 Loss_G: 0.034081 Loss_D_real: -0.036884 Loss_D_fake 0.000825
[188/5000][35/535][19040] Loss_D: -0.038935 Loss_G: 0.038609 Loss_D_real: -0.031736 Loss_D_fake 0.007199
[188/5000][40/535][19041] Loss_D: -0.040752 Loss_G: 0.000616 Loss_D_real: -0.011974 Loss_D_fake 0.028778
[188/5000][45/535][19042] Loss_D: -0.037677 Loss_G: 0.016332 Loss_D_real: -0.021116 Loss_D_fake 0.016562
[188/5000][50/535][19043] Loss_D: -0.039222 Loss_G: 0.015240 Loss_D_real: -0.020933 Loss_D_fake 0.018289
[188/5000][55/535][19044] Loss_D: -0.039769 Loss_G: 0.033118 Loss_D_real: -0.029490 Loss_D_fake 0.010279
[188/5000][60/535][19045] Loss_D: -0.038792 Loss_G: -0.003293 Loss_D_real: -0.010134 Loss_D_fake 0.028658
[188/5000][65/535][19046] Loss_D: -0.037313 Loss_G: 0.015878 Loss_D_real: -0.024740 Loss_D_fake 0.012573
[188/5000][70/535][19047] Loss_D: -0.038325 Loss_G: 0.026011 Loss_D_real: -0.025236 Loss_D_fake 0.013088
[188/5000][75/535][19048] Loss_D: -0.039014 Loss_G: -0.006390 Loss_D_real: -0.007813 Loss_D_fake 0.031201
[188/5000][80/535][19049] Loss_D: -0.035645 Loss_G: 0.039863 Loss_D_real: -0.040015 Loss_D_fake -0.004370
[188/5000][85/535][19050] Loss_D: -0.037809 Loss_G: 0.004659 Loss_D_real: -0.013219 Loss_D_fake 0.024589
[188/5000][90/535][19051] Loss_D: -0.035559 Loss_G: 0.051560 Loss_D_real: -0.045979 Loss_D_fake -0.010421
[188/5000][95/535][19052] Loss_D: -0.038366 Loss_G: 0.007733 Loss_D_real: -0.018542 Loss_D_fake 0.019824
[188/5000][100/535][19053] Loss_D: -0.035526 Loss_G: 0.030447 Loss_D_real: -0.037140 Loss_D_fake -0.001613
[188/5000][105/535][19054] Loss_D: -0.038879 Loss_G: 0.038374 Loss_D_real: -0.036630 Loss_D_fake 0.002249
[188/5000][110/535][19055] Loss_D: -0.037486 Loss_G: 0.006722 Loss_D_real: -0.013273 Loss_D_fake 0.024213
[188/5000][115/535][19056] Loss_D: -0.036548 Loss_G: 0.023506 Loss_D_real: -0.027109 Loss_D_fake 0.009439
[188/5000][120/535][19057] Loss_D: -0.038475 Loss_G: 0.002695 Loss_D_real: -0.016497 Loss_D_fake 0.021977
[188/5000][125/535][19058] Loss_D: -0.037953 Loss_G: 0.031314 Loss_D_real: -0.035236 Loss_D_fake 0.002717
[188/5000][130/535][19059] Loss_D: -0.034571 Loss_G: -0.014241 Loss_D_real: 0.000995 Loss_D_fake 0.035566
[188/5000][135/535][19060] Loss_D: -0.037149 Loss_G: 0.030649 Loss_D_real: -0.036396 Loss_D_fake 0.000753
[188/5000][140/535][19061] Loss_D: -0.038001 Loss_G: 0.017471 Loss_D_real: -0.022485 Loss_D_fake 0.015516
[188/5000][145/535][19062] Loss_D: -0.035195 Loss_G: -0.007040 Loss_D_real: -0.005363 Loss_D_fake 0.029832
[188/5000][150/535][19063] Loss_D: -0.037847 Loss_G: 0.022619 Loss_D_real: -0.029401 Loss_D_fake 0.008447
[188/5000][155/535][19064] Loss_D: -0.038739 Loss_G: 0.002994 Loss_D_real: -0.013228 Loss_D_fake 0.025512
[188/5000][160/535][19065] Loss_D: -0.037384 Loss_G: 0.038590 Loss_D_real: -0.030054 Loss_D_fake 0.007330
[188/5000][165/535][19066] Loss_D: -0.039395 Loss_G: 0.015492 Loss_D_real: -0.022387 Loss_D_fake 0.017008
[188/5000][170/535][19067] Loss_D: -0.036568 Loss_G: -0.007447 Loss_D_real: 0.001981 Loss_D_fake 0.038548
[188/5000][175/535][19068] Loss_D: -0.034471 Loss_G: 0.032642 Loss_D_real: -0.033300 Loss_D_fake 0.001171
[188/5000][180/535][19069] Loss_D: -0.037298 Loss_G: 0.006740 Loss_D_real: -0.016350 Loss_D_fake 0.020948
[188/5000][185/535][19070] Loss_D: -0.036982 Loss_G: 0.019940 Loss_D_real: -0.021451 Loss_D_fake 0.015531
[188/5000][190/535][19071] Loss_D: -0.037237 Loss_G: 0.019168 Loss_D_real: -0.022945 Loss_D_fake 0.014292
[188/5000][195/535][19072] Loss_D: -0.038742 Loss_G: 0.009452 Loss_D_real: -0.016592 Loss_D_fake 0.022151
[188/5000][200/535][19073] Loss_D: -0.037279 Loss_G: 0.028875 Loss_D_real: -0.038315 Loss_D_fake -0.001036
[188/5000][205/535][19074] Loss_D: -0.038513 Loss_G: 0.033641 Loss_D_real: -0.034077 Loss_D_fake 0.004436
[188/5000][210/535][19075] Loss_D: -0.037372 Loss_G: 0.007950 Loss_D_real: -0.015611 Loss_D_fake 0.021760
[188/5000][215/535][19076] Loss_D: -0.036644 Loss_G: 0.037591 Loss_D_real: -0.037476 Loss_D_fake -0.000832
[188/5000][220/535][19077] Loss_D: -0.037482 Loss_G: -0.004082 Loss_D_real: -0.007186 Loss_D_fake 0.030296
[188/5000][225/535][19078] Loss_D: -0.037041 Loss_G: 0.025586 Loss_D_real: -0.021427 Loss_D_fake 0.015613
[188/5000][230/535][19079] Loss_D: -0.035714 Loss_G: 0.015673 Loss_D_real: -0.025358 Loss_D_fake 0.010356
[188/5000][235/535][19080] Loss_D: -0.037271 Loss_G: 0.032346 Loss_D_real: -0.033153 Loss_D_fake 0.004118
[188/5000][240/535][19081] Loss_D: -0.036846 Loss_G: 0.002996 Loss_D_real: -0.009281 Loss_D_fake 0.027565
[188/5000][245/535][19082] Loss_D: -0.036338 Loss_G: 0.031649 Loss_D_real: -0.040897 Loss_D_fake -0.004560
[188/5000][250/535][19083] Loss_D: -0.036649 Loss_G: 0.004036 Loss_D_real: -0.009459 Loss_D_fake 0.027190
[188/5000][255/535][19084] Loss_D: -0.038096 Loss_G: 0.027458 Loss_D_real: -0.031610 Loss_D_fake 0.006486
[188/5000][260/535][19085] Loss_D: -0.037180 Loss_G: 0.022584 Loss_D_real: -0.026835 Loss_D_fake 0.010344
[188/5000][265/535][19086] Loss_D: -0.035855 Loss_G: 0.032482 Loss_D_real: -0.038012 Loss_D_fake -0.002157
[188/5000][270/535][19087] Loss_D: -0.037487 Loss_G: 0.016617 Loss_D_real: -0.019362 Loss_D_fake 0.018125
[188/5000][275/535][19088] Loss_D: -0.038220 Loss_G: 0.029848 Loss_D_real: -0.030471 Loss_D_fake 0.007750
[188/5000][280/535][19089] Loss_D: -0.036733 Loss_G: -0.000706 Loss_D_real: -0.009344 Loss_D_fake 0.027390
[188/5000][285/535][19090] Loss_D: -0.036878 Loss_G: 0.034319 Loss_D_real: -0.032937 Loss_D_fake 0.003942
[188/5000][290/535][19091] Loss_D: -0.036625 Loss_G: 0.019609 Loss_D_real: -0.029594 Loss_D_fake 0.007031
[188/5000][295/535][19092] Loss_D: -0.037347 Loss_G: 0.041239 Loss_D_real: -0.040860 Loss_D_fake -0.003513
[188/5000][300/535][19093] Loss_D: -0.037790 Loss_G: 0.033984 Loss_D_real: -0.032104 Loss_D_fake 0.005685
[188/5000][305/535][19094] Loss_D: -0.037632 Loss_G: 0.000782 Loss_D_real: -0.015994 Loss_D_fake 0.021638
[188/5000][310/535][19095] Loss_D: -0.038759 Loss_G: 0.030100 Loss_D_real: -0.040807 Loss_D_fake -0.002048
[188/5000][315/535][19096] Loss_D: -0.039232 Loss_G: 0.005976 Loss_D_real: -0.018443 Loss_D_fake 0.020789
[188/5000][320/535][19097] Loss_D: -0.037700 Loss_G: 0.008209 Loss_D_real: -0.014783 Loss_D_fake 0.022918
[188/5000][325/535][19098] Loss_D: -0.039196 Loss_G: 0.023097 Loss_D_real: -0.028320 Loss_D_fake 0.010876
[188/5000][330/535][19099] Loss_D: -0.038341 Loss_G: 0.017311 Loss_D_real: -0.019809 Loss_D_fake 0.018533
[188/5000][335/535][19100] Loss_D: -0.038058 Loss_G: 0.031993 Loss_D_real: -0.032552 Loss_D_fake 0.005505
[188/5000][340/535][19101] Loss_D: -0.039737 Loss_G: 0.013258 Loss_D_real: -0.017067 Loss_D_fake 0.022670
[188/5000][345/535][19102] Loss_D: -0.038428 Loss_G: 0.016118 Loss_D_real: -0.020614 Loss_D_fake 0.017814
[188/5000][350/535][19103] Loss_D: -0.038222 Loss_G: 0.016986 Loss_D_real: -0.022476 Loss_D_fake 0.015746
[188/5000][355/535][19104] Loss_D: -0.036102 Loss_G: 0.042392 Loss_D_real: -0.044177 Loss_D_fake -0.008075
[188/5000][360/535][19105] Loss_D: -0.037675 Loss_G: -0.008311 Loss_D_real: -0.001823 Loss_D_fake 0.035852
[188/5000][365/535][19106] Loss_D: -0.037630 Loss_G: 0.036956 Loss_D_real: -0.031677 Loss_D_fake 0.005953
[188/5000][370/535][19107] Loss_D: -0.035737 Loss_G: -0.015614 Loss_D_real: 0.003940 Loss_D_fake 0.039677
[188/5000][375/535][19108] Loss_D: -0.036331 Loss_G: 0.029112 Loss_D_real: -0.031201 Loss_D_fake 0.005130
[188/5000][380/535][19109] Loss_D: -0.037098 Loss_G: 0.025023 Loss_D_real: -0.028103 Loss_D_fake 0.008996
[188/5000][385/535][19110] Loss_D: -0.038684 Loss_G: 0.009956 Loss_D_real: -0.016857 Loss_D_fake 0.021827
[188/5000][390/535][19111] Loss_D: -0.037148 Loss_G: 0.017124 Loss_D_real: -0.020190 Loss_D_fake 0.016958
[188/5000][395/535][19112] Loss_D: -0.037343 Loss_G: -0.004495 Loss_D_real: -0.015545 Loss_D_fake 0.021799
[188/5000][400/535][19113] Loss_D: -0.035370 Loss_G: 0.040553 Loss_D_real: -0.041727 Loss_D_fake -0.006357
[188/5000][405/535][19114] Loss_D: -0.037682 Loss_G: 0.006482 Loss_D_real: -0.015829 Loss_D_fake 0.021854
[188/5000][410/535][19115] Loss_D: -0.037194 Loss_G: 0.010750 Loss_D_real: -0.016865 Loss_D_fake 0.020329
[188/5000][415/535][19116] Loss_D: -0.041387 Loss_G: 0.022167 Loss_D_real: -0.023700 Loss_D_fake 0.017687
[188/5000][420/535][19117] Loss_D: -0.037492 Loss_G: 0.018077 Loss_D_real: -0.019351 Loss_D_fake 0.018141
[188/5000][425/535][19118] Loss_D: -0.036271 Loss_G: -0.005741 Loss_D_real: -0.006043 Loss_D_fake 0.030228
[188/5000][430/535][19119] Loss_D: -0.038079 Loss_G: 0.024867 Loss_D_real: -0.024860 Loss_D_fake 0.013218
[188/5000][435/535][19120] Loss_D: -0.036449 Loss_G: 0.039906 Loss_D_real: -0.035799 Loss_D_fake 0.000650
[188/5000][440/535][19121] Loss_D: -0.034476 Loss_G: -0.014802 Loss_D_real: 0.001964 Loss_D_fake 0.036440
[188/5000][445/535][19122] Loss_D: -0.036553 Loss_G: 0.031977 Loss_D_real: -0.041121 Loss_D_fake -0.004568
[188/5000][450/535][19123] Loss_D: -0.037094 Loss_G: 0.010035 Loss_D_real: -0.011365 Loss_D_fake 0.025729
[188/5000][455/535][19124] Loss_D: -0.037166 Loss_G: 0.033370 Loss_D_real: -0.037687 Loss_D_fake -0.000521
[188/5000][460/535][19125] Loss_D: -0.037023 Loss_G: -0.008980 Loss_D_real: -0.006605 Loss_D_fake 0.030418
[188/5000][465/535][19126] Loss_D: -0.035495 Loss_G: 0.030558 Loss_D_real: -0.035006 Loss_D_fake 0.000489
[188/5000][470/535][19127] Loss_D: -0.038968 Loss_G: 0.024572 Loss_D_real: -0.026466 Loss_D_fake 0.012501
[188/5000][475/535][19128] Loss_D: -0.037647 Loss_G: 0.006414 Loss_D_real: -0.014119 Loss_D_fake 0.023527
[188/5000][480/535][19129] Loss_D: -0.035967 Loss_G: 0.023441 Loss_D_real: -0.028170 Loss_D_fake 0.007797
[188/5000][485/535][19130] Loss_D: -0.038014 Loss_G: 0.015905 Loss_D_real: -0.026114 Loss_D_fake 0.011901
[188/5000][490/535][19131] Loss_D: -0.037255 Loss_G: 0.026744 Loss_D_real: -0.028561 Loss_D_fake 0.008694
[188/5000][495/535][19132] Loss_D: -0.037412 Loss_G: -0.003218 Loss_D_real: -0.014141 Loss_D_fake 0.023272
[188/5000][500/535][19133] Loss_D: -0.037430 Loss_G: 0.033108 Loss_D_real: -0.030402 Loss_D_fake 0.007027
[188/5000][505/535][19134] Loss_D: -0.037628 Loss_G: 0.010433 Loss_D_real: -0.024600 Loss_D_fake 0.013028
[188/5000][510/535][19135] Loss_D: -0.037878 Loss_G: -0.004369 Loss_D_real: -0.007872 Loss_D_fake 0.030006
[188/5000][515/535][19136] Loss_D: -0.036327 Loss_G: 0.000273 Loss_D_real: -0.014957 Loss_D_fake 0.021370
[188/5000][520/535][19137] Loss_D: -0.036724 Loss_G: 0.025859 Loss_D_real: -0.028786 Loss_D_fake 0.007938
[188/5000][525/535][19138] Loss_D: -0.037367 Loss_G: 0.034661 Loss_D_real: -0.037154 Loss_D_fake 0.000213
[188/5000][530/535][19139] Loss_D: -0.037316 Loss_G: 0.017782 Loss_D_real: -0.013150 Loss_D_fake 0.024166
[188/5000][535/535][19140] Loss_D: -0.035554 Loss_G: 0.025879 Loss_D_real: -0.033827 Loss_D_fake 0.001727
[189/5000][5/535][19141] Loss_D: -0.038619 Loss_G: -0.005396 Loss_D_real: -0.008643 Loss_D_fake 0.029977
[189/5000][10/535][19142] Loss_D: -0.038325 Loss_G: 0.033186 Loss_D_real: -0.035142 Loss_D_fake 0.003183
[189/5000][15/535][19143] Loss_D: -0.038857 Loss_G: 0.032401 Loss_D_real: -0.034773 Loss_D_fake 0.004084
[189/5000][20/535][19144] Loss_D: -0.036567 Loss_G: 0.038141 Loss_D_real: -0.046212 Loss_D_fake -0.009645
[189/5000][25/535][19145] Loss_D: -0.038044 Loss_G: 0.005077 Loss_D_real: -0.011408 Loss_D_fake 0.026636
[189/5000][30/535][19146] Loss_D: -0.036688 Loss_G: 0.036721 Loss_D_real: -0.041787 Loss_D_fake -0.005099
[189/5000][35/535][19147] Loss_D: -0.038168 Loss_G: 0.022713 Loss_D_real: -0.021066 Loss_D_fake 0.017102
[189/5000][40/535][19148] Loss_D: -0.039084 Loss_G: -0.009143 Loss_D_real: -0.006353 Loss_D_fake 0.032731
[189/5000][45/535][19149] Loss_D: -0.036771 Loss_G: 0.038839 Loss_D_real: -0.034689 Loss_D_fake 0.002082
[189/5000][50/535][19150] Loss_D: -0.037949 Loss_G: 0.023728 Loss_D_real: -0.023494 Loss_D_fake 0.014455
[189/5000][55/535][19151] Loss_D: -0.038023 Loss_G: 0.027303 Loss_D_real: -0.027483 Loss_D_fake 0.010540
[189/5000][60/535][19152] Loss_D: -0.038254 Loss_G: 0.025912 Loss_D_real: -0.031395 Loss_D_fake 0.006859
[189/5000][65/535][19153] Loss_D: -0.037765 Loss_G: 0.046368 Loss_D_real: -0.046153 Loss_D_fake -0.008388
[189/5000][70/535][19154] Loss_D: -0.037409 Loss_G: 0.006077 Loss_D_real: -0.008806 Loss_D_fake 0.028603
[189/5000][75/535][19155] Loss_D: -0.036328 Loss_G: 0.012696 Loss_D_real: -0.020340 Loss_D_fake 0.015988
[189/5000][80/535][19156] Loss_D: -0.035360 Loss_G: -0.003914 Loss_D_real: -0.006138 Loss_D_fake 0.029221
[189/5000][85/535][19157] Loss_D: -0.036743 Loss_G: 0.036194 Loss_D_real: -0.035571 Loss_D_fake 0.001173
[189/5000][90/535][19158] Loss_D: -0.038876 Loss_G: 0.015207 Loss_D_real: -0.027974 Loss_D_fake 0.010902
[189/5000][95/535][19159] Loss_D: -0.038708 Loss_G: 0.022093 Loss_D_real: -0.027814 Loss_D_fake 0.010894
[189/5000][100/535][19160] Loss_D: -0.037196 Loss_G: -0.002544 Loss_D_real: -0.011914 Loss_D_fake 0.025283
[189/5000][105/535][19161] Loss_D: -0.034556 Loss_G: 0.035404 Loss_D_real: -0.038355 Loss_D_fake -0.003799
[189/5000][110/535][19162] Loss_D: -0.038691 Loss_G: 0.015414 Loss_D_real: -0.015982 Loss_D_fake 0.022709
[189/5000][115/535][19163] Loss_D: -0.038364 Loss_G: 0.003334 Loss_D_real: -0.019502 Loss_D_fake 0.018862
[189/5000][120/535][19164] Loss_D: -0.036425 Loss_G: 0.037184 Loss_D_real: -0.037070 Loss_D_fake -0.000645
[189/5000][125/535][19165] Loss_D: -0.036597 Loss_G: -0.003556 Loss_D_real: -0.003865 Loss_D_fake 0.032732
[189/5000][130/535][19166] Loss_D: -0.038424 Loss_G: 0.026026 Loss_D_real: -0.028600 Loss_D_fake 0.009824
[189/5000][135/535][19167] Loss_D: -0.041069 Loss_G: 0.007096 Loss_D_real: -0.015822 Loss_D_fake 0.025247
[189/5000][140/535][19168] Loss_D: -0.036919 Loss_G: 0.029440 Loss_D_real: -0.036579 Loss_D_fake 0.000340
[189/5000][145/535][19169] Loss_D: -0.039596 Loss_G: 0.005032 Loss_D_real: -0.019343 Loss_D_fake 0.020253
[189/5000][150/535][19170] Loss_D: -0.038492 Loss_G: 0.016657 Loss_D_real: -0.025009 Loss_D_fake 0.013483
[189/5000][155/535][19171] Loss_D: -0.038409 Loss_G: 0.003265 Loss_D_real: -0.016874 Loss_D_fake 0.021535
[189/5000][160/535][19172] Loss_D: -0.035943 Loss_G: 0.037822 Loss_D_real: -0.042179 Loss_D_fake -0.006237
[189/5000][165/535][19173] Loss_D: -0.038609 Loss_G: 0.021402 Loss_D_real: -0.025585 Loss_D_fake 0.013024
[189/5000][170/535][19174] Loss_D: -0.037528 Loss_G: 0.018190 Loss_D_real: -0.026748 Loss_D_fake 0.010780
[189/5000][175/535][19175] Loss_D: -0.038028 Loss_G: 0.020545 Loss_D_real: -0.026266 Loss_D_fake 0.011762
[189/5000][180/535][19176] Loss_D: -0.036110 Loss_G: 0.028683 Loss_D_real: -0.032628 Loss_D_fake 0.003482
[189/5000][185/535][19177] Loss_D: -0.038161 Loss_G: 0.027351 Loss_D_real: -0.031693 Loss_D_fake 0.006467
[189/5000][190/535][19178] Loss_D: -0.034707 Loss_G: 0.010862 Loss_D_real: -0.017981 Loss_D_fake 0.016725
[189/5000][195/535][19179] Loss_D: -0.036784 Loss_G: 0.035389 Loss_D_real: -0.030960 Loss_D_fake 0.005825
[189/5000][200/535][19180] Loss_D: -0.038343 Loss_G: 0.009696 Loss_D_real: -0.014144 Loss_D_fake 0.024199
[189/5000][205/535][19181] Loss_D: -0.035180 Loss_G: 0.033676 Loss_D_real: -0.041671 Loss_D_fake -0.006491
[189/5000][210/535][19182] Loss_D: -0.040422 Loss_G: 0.015488 Loss_D_real: -0.026342 Loss_D_fake 0.014080
[189/5000][215/535][19183] Loss_D: -0.038198 Loss_G: 0.016813 Loss_D_real: -0.020936 Loss_D_fake 0.017262
[189/5000][220/535][19184] Loss_D: -0.034669 Loss_G: 0.047375 Loss_D_real: -0.045630 Loss_D_fake -0.010961
[189/5000][225/535][19185] Loss_D: -0.038226 Loss_G: -0.006412 Loss_D_real: -0.007355 Loss_D_fake 0.030870
[189/5000][230/535][19186] Loss_D: -0.037841 Loss_G: 0.023725 Loss_D_real: -0.034059 Loss_D_fake 0.003783
[189/5000][235/535][19187] Loss_D: -0.038858 Loss_G: -0.001146 Loss_D_real: -0.011888 Loss_D_fake 0.026970
[189/5000][240/535][19188] Loss_D: -0.036996 Loss_G: 0.015034 Loss_D_real: -0.017308 Loss_D_fake 0.019689
[189/5000][245/535][19189] Loss_D: -0.036988 Loss_G: 0.032776 Loss_D_real: -0.030588 Loss_D_fake 0.006400
[189/5000][250/535][19190] Loss_D: -0.036193 Loss_G: -0.008841 Loss_D_real: -0.009508 Loss_D_fake 0.026685
[189/5000][255/535][19191] Loss_D: -0.036879 Loss_G: 0.038862 Loss_D_real: -0.041330 Loss_D_fake -0.004451
[189/5000][260/535][19192] Loss_D: -0.037235 Loss_G: 0.030247 Loss_D_real: -0.028928 Loss_D_fake 0.008307
[189/5000][265/535][19193] Loss_D: -0.038052 Loss_G: 0.032369 Loss_D_real: -0.030728 Loss_D_fake 0.007324
[189/5000][270/535][19194] Loss_D: -0.036887 Loss_G: -0.004056 Loss_D_real: -0.005091 Loss_D_fake 0.031796
[189/5000][275/535][19195] Loss_D: -0.037254 Loss_G: 0.003616 Loss_D_real: -0.017038 Loss_D_fake 0.020216
[189/5000][280/535][19196] Loss_D: -0.039541 Loss_G: 0.016153 Loss_D_real: -0.017981 Loss_D_fake 0.021560
[189/5000][285/535][19197] Loss_D: -0.038612 Loss_G: 0.022790 Loss_D_real: -0.028002 Loss_D_fake 0.010610
[189/5000][290/535][19198] Loss_D: -0.038646 Loss_G: 0.010319 Loss_D_real: -0.020695 Loss_D_fake 0.017951
[189/5000][295/535][19199] Loss_D: -0.037355 Loss_G: 0.003865 Loss_D_real: -0.009829 Loss_D_fake 0.027526
[189/5000][300/535][19200] Loss_D: -0.038592 Loss_G: 0.022433 Loss_D_real: -0.020270 Loss_D_fake 0.018322
[189/5000][305/535][19201] Loss_D: -0.034797 Loss_G: 0.027165 Loss_D_real: -0.020850 Loss_D_fake 0.013947
[189/5000][310/535][19202] Loss_D: -0.038490 Loss_G: 0.008581 Loss_D_real: -0.014653 Loss_D_fake 0.023837
[189/5000][315/535][19203] Loss_D: -0.038061 Loss_G: 0.035421 Loss_D_real: -0.040247 Loss_D_fake -0.002186
[189/5000][320/535][19204] Loss_D: -0.037839 Loss_G: -0.001802 Loss_D_real: -0.013123 Loss_D_fake 0.024716
[189/5000][325/535][19205] Loss_D: -0.034905 Loss_G: 0.032096 Loss_D_real: -0.040428 Loss_D_fake -0.005523
[189/5000][330/535][19206] Loss_D: -0.038821 Loss_G: 0.020278 Loss_D_real: -0.019661 Loss_D_fake 0.019160
[189/5000][335/535][19207] Loss_D: -0.037473 Loss_G: 0.032156 Loss_D_real: -0.029539 Loss_D_fake 0.007934
[189/5000][340/535][19208] Loss_D: -0.037348 Loss_G: -0.009027 Loss_D_real: -0.010490 Loss_D_fake 0.026858
[189/5000][345/535][19209] Loss_D: -0.036494 Loss_G: 0.029501 Loss_D_real: -0.029891 Loss_D_fake 0.006604
[189/5000][350/535][19210] Loss_D: -0.036716 Loss_G: -0.000261 Loss_D_real: -0.004208 Loss_D_fake 0.032508
[189/5000][355/535][19211] Loss_D: -0.037867 Loss_G: 0.011122 Loss_D_real: -0.026194 Loss_D_fake 0.011673
[189/5000][360/535][19212] Loss_D: -0.037033 Loss_G: 0.022601 Loss_D_real: -0.027354 Loss_D_fake 0.009679
[189/5000][365/535][19213] Loss_D: -0.038629 Loss_G: 0.043842 Loss_D_real: -0.038592 Loss_D_fake 0.000037
[189/5000][370/535][19214] Loss_D: -0.037495 Loss_G: 0.010630 Loss_D_real: -0.016574 Loss_D_fake 0.020921
[189/5000][375/535][19215] Loss_D: -0.037597 Loss_G: 0.020361 Loss_D_real: -0.020469 Loss_D_fake 0.017128
[189/5000][380/535][19216] Loss_D: -0.036067 Loss_G: 0.010008 Loss_D_real: -0.018796 Loss_D_fake 0.017271
[189/5000][385/535][19217] Loss_D: -0.036024 Loss_G: 0.045431 Loss_D_real: -0.041815 Loss_D_fake -0.005790
[189/5000][390/535][19218] Loss_D: -0.035367 Loss_G: -0.009073 Loss_D_real: 0.001027 Loss_D_fake 0.036394
[189/5000][395/535][19219] Loss_D: -0.035766 Loss_G: 0.038210 Loss_D_real: -0.038834 Loss_D_fake -0.003067
[189/5000][400/535][19220] Loss_D: -0.037085 Loss_G: 0.029605 Loss_D_real: -0.027742 Loss_D_fake 0.009343
[189/5000][405/535][19221] Loss_D: -0.038175 Loss_G: 0.030380 Loss_D_real: -0.025174 Loss_D_fake 0.013001
[189/5000][410/535][19222] Loss_D: -0.038686 Loss_G: 0.011066 Loss_D_real: -0.016610 Loss_D_fake 0.022076
[189/5000][415/535][19223] Loss_D: -0.036525 Loss_G: 0.016859 Loss_D_real: -0.027047 Loss_D_fake 0.009478
[189/5000][420/535][19224] Loss_D: -0.036108 Loss_G: 0.043164 Loss_D_real: -0.041896 Loss_D_fake -0.005788
[189/5000][425/535][19225] Loss_D: -0.035323 Loss_G: -0.007678 Loss_D_real: -0.001600 Loss_D_fake 0.033722
[189/5000][430/535][19226] Loss_D: -0.036729 Loss_G: 0.012765 Loss_D_real: -0.018154 Loss_D_fake 0.018575
[189/5000][435/535][19227] Loss_D: -0.037716 Loss_G: 0.038689 Loss_D_real: -0.035530 Loss_D_fake 0.002186
[189/5000][440/535][19228] Loss_D: -0.037045 Loss_G: 0.016269 Loss_D_real: -0.018167 Loss_D_fake 0.018878
[189/5000][445/535][19229] Loss_D: -0.038208 Loss_G: 0.042591 Loss_D_real: -0.036516 Loss_D_fake 0.001692
[189/5000][450/535][19230] Loss_D: -0.037892 Loss_G: 0.000507 Loss_D_real: -0.009709 Loss_D_fake 0.028183
[189/5000][455/535][19231] Loss_D: -0.036009 Loss_G: 0.031245 Loss_D_real: -0.033345 Loss_D_fake 0.002664
[189/5000][460/535][19232] Loss_D: -0.037653 Loss_G: 0.022304 Loss_D_real: -0.028164 Loss_D_fake 0.009489
[189/5000][465/535][19233] Loss_D: -0.037807 Loss_G: 0.016238 Loss_D_real: -0.019533 Loss_D_fake 0.018274
[189/5000][470/535][19234] Loss_D: -0.037264 Loss_G: 0.002432 Loss_D_real: -0.013860 Loss_D_fake 0.023405
[189/5000][475/535][19235] Loss_D: -0.036788 Loss_G: 0.035175 Loss_D_real: -0.035706 Loss_D_fake 0.001081
[189/5000][480/535][19236] Loss_D: -0.038179 Loss_G: 0.020543 Loss_D_real: -0.024281 Loss_D_fake 0.013898
[189/5000][485/535][19237] Loss_D: -0.038303 Loss_G: 0.024639 Loss_D_real: -0.031020 Loss_D_fake 0.007283
[189/5000][490/535][19238] Loss_D: -0.038112 Loss_G: 0.013614 Loss_D_real: -0.022081 Loss_D_fake 0.016031
[189/5000][495/535][19239] Loss_D: -0.036977 Loss_G: 0.011319 Loss_D_real: -0.022465 Loss_D_fake 0.014512
[189/5000][500/535][19240] Loss_D: -0.034794 Loss_G: 0.043594 Loss_D_real: -0.047366 Loss_D_fake -0.012572
[189/5000][505/535][19241] Loss_D: -0.038049 Loss_G: 0.019420 Loss_D_real: -0.018384 Loss_D_fake 0.019665
[189/5000][510/535][19242] Loss_D: -0.037499 Loss_G: 0.027142 Loss_D_real: -0.027117 Loss_D_fake 0.010382
[189/5000][515/535][19243] Loss_D: -0.038247 Loss_G: 0.019560 Loss_D_real: -0.023325 Loss_D_fake 0.014921
[189/5000][520/535][19244] Loss_D: -0.038097 Loss_G: 0.012283 Loss_D_real: -0.023184 Loss_D_fake 0.014913
[189/5000][525/535][19245] Loss_D: -0.036559 Loss_G: 0.042762 Loss_D_real: -0.043855 Loss_D_fake -0.007296
[189/5000][530/535][19246] Loss_D: -0.035410 Loss_G: -0.013519 Loss_D_real: -0.002950 Loss_D_fake 0.032461
[189/5000][535/535][19247] Loss_D: -0.039229 Loss_G: 0.012194 Loss_D_real: -0.039266 Loss_D_fake -0.000037
[190/5000][5/535][19248] Loss_D: -0.035855 Loss_G: 0.036797 Loss_D_real: -0.033829 Loss_D_fake 0.002026
[190/5000][10/535][19249] Loss_D: -0.037796 Loss_G: 0.020857 Loss_D_real: -0.020463 Loss_D_fake 0.017333
[190/5000][15/535][19250] Loss_D: -0.038552 Loss_G: 0.030391 Loss_D_real: -0.030019 Loss_D_fake 0.008532
[190/5000][20/535][19251] Loss_D: -0.039148 Loss_G: -0.004506 Loss_D_real: -0.008528 Loss_D_fake 0.030620
[190/5000][25/535][19252] Loss_D: -0.038645 Loss_G: 0.022186 Loss_D_real: -0.026755 Loss_D_fake 0.011890
[190/5000][30/535][19253] Loss_D: -0.037723 Loss_G: 0.021638 Loss_D_real: -0.020851 Loss_D_fake 0.016872
[190/5000][35/535][19254] Loss_D: -0.039169 Loss_G: -0.000120 Loss_D_real: -0.015144 Loss_D_fake 0.024025
[190/5000][40/535][19255] Loss_D: -0.035566 Loss_G: 0.045353 Loss_D_real: -0.043991 Loss_D_fake -0.008425
[190/5000][45/535][19256] Loss_D: -0.037926 Loss_G: 0.029245 Loss_D_real: -0.036930 Loss_D_fake 0.000996
[190/5000][50/535][19257] Loss_D: -0.037636 Loss_G: 0.039172 Loss_D_real: -0.039964 Loss_D_fake -0.002329
[190/5000][55/535][19258] Loss_D: -0.037485 Loss_G: -0.004867 Loss_D_real: -0.013901 Loss_D_fake 0.023583
[190/5000][60/535][19259] Loss_D: -0.033847 Loss_G: 0.042915 Loss_D_real: -0.043996 Loss_D_fake -0.010149
[190/5000][65/535][19260] Loss_D: -0.037599 Loss_G: 0.022085 Loss_D_real: -0.024377 Loss_D_fake 0.013221
[190/5000][70/535][19261] Loss_D: -0.037561 Loss_G: 0.019278 Loss_D_real: -0.028233 Loss_D_fake 0.009328
[190/5000][75/535][19262] Loss_D: -0.038075 Loss_G: 0.027901 Loss_D_real: -0.032566 Loss_D_fake 0.005508
[190/5000][80/535][19263] Loss_D: -0.038227 Loss_G: 0.005909 Loss_D_real: -0.017141 Loss_D_fake 0.021086
[190/5000][85/535][19264] Loss_D: -0.036258 Loss_G: 0.042850 Loss_D_real: -0.047194 Loss_D_fake -0.010937
[190/5000][90/535][19265] Loss_D: -0.038670 Loss_G: 0.010104 Loss_D_real: -0.012379 Loss_D_fake 0.026291
[190/5000][95/535][19266] Loss_D: -0.037959 Loss_G: 0.009633 Loss_D_real: -0.016361 Loss_D_fake 0.021597
[190/5000][100/535][19267] Loss_D: -0.038318 Loss_G: 0.039519 Loss_D_real: -0.034766 Loss_D_fake 0.003552
[190/5000][105/535][19268] Loss_D: -0.038326 Loss_G: -0.008009 Loss_D_real: -0.013937 Loss_D_fake 0.024389
[190/5000][110/535][19269] Loss_D: -0.038501 Loss_G: 0.034200 Loss_D_real: -0.035791 Loss_D_fake 0.002710
[190/5000][115/535][19270] Loss_D: -0.037362 Loss_G: -0.003799 Loss_D_real: -0.009780 Loss_D_fake 0.027582
[190/5000][120/535][19271] Loss_D: -0.036921 Loss_G: 0.026722 Loss_D_real: -0.031752 Loss_D_fake 0.005169
[190/5000][125/535][19272] Loss_D: -0.037497 Loss_G: 0.018871 Loss_D_real: -0.024855 Loss_D_fake 0.012642
[190/5000][130/535][19273] Loss_D: -0.037445 Loss_G: 0.031505 Loss_D_real: -0.036728 Loss_D_fake 0.000717
[190/5000][135/535][19274] Loss_D: -0.036680 Loss_G: 0.034662 Loss_D_real: -0.037252 Loss_D_fake -0.000572
[190/5000][140/535][19275] Loss_D: -0.038488 Loss_G: 0.013402 Loss_D_real: -0.020735 Loss_D_fake 0.017753
[190/5000][145/535][19276] Loss_D: -0.037923 Loss_G: 0.040456 Loss_D_real: -0.031074 Loss_D_fake 0.006849
[190/5000][150/535][19277] Loss_D: -0.036557 Loss_G: 0.005447 Loss_D_real: -0.016396 Loss_D_fake 0.020161
[190/5000][155/535][19278] Loss_D: -0.038090 Loss_G: 0.035603 Loss_D_real: -0.031810 Loss_D_fake 0.006281
[190/5000][160/535][19279] Loss_D: -0.036727 Loss_G: 0.003179 Loss_D_real: -0.012503 Loss_D_fake 0.024224
[190/5000][165/535][19280] Loss_D: -0.036469 Loss_G: 0.022533 Loss_D_real: -0.028805 Loss_D_fake 0.007663
[190/5000][170/535][19281] Loss_D: -0.038919 Loss_G: 0.012150 Loss_D_real: -0.020978 Loss_D_fake 0.017941
[190/5000][175/535][19282] Loss_D: -0.038624 Loss_G: 0.012982 Loss_D_real: -0.016007 Loss_D_fake 0.022617
[190/5000][180/535][19283] Loss_D: -0.038606 Loss_G: 0.031731 Loss_D_real: -0.024646 Loss_D_fake 0.013960
[190/5000][185/535][19284] Loss_D: -0.037933 Loss_G: 0.015745 Loss_D_real: -0.016693 Loss_D_fake 0.021240
[190/5000][190/535][19285] Loss_D: -0.037511 Loss_G: 0.027924 Loss_D_real: -0.023645 Loss_D_fake 0.013866
[190/5000][195/535][19286] Loss_D: -0.036872 Loss_G: -0.018336 Loss_D_real: -0.001652 Loss_D_fake 0.035220
[190/5000][200/535][19287] Loss_D: -0.036739 Loss_G: 0.023593 Loss_D_real: -0.032234 Loss_D_fake 0.004505
[190/5000][205/535][19288] Loss_D: -0.037311 Loss_G: 0.016226 Loss_D_real: -0.023740 Loss_D_fake 0.013571
[190/5000][210/535][19289] Loss_D: -0.037094 Loss_G: 0.042137 Loss_D_real: -0.034944 Loss_D_fake 0.002151
[190/5000][215/535][19290] Loss_D: -0.037885 Loss_G: 0.002436 Loss_D_real: -0.012351 Loss_D_fake 0.025535
[190/5000][220/535][19291] Loss_D: -0.034427 Loss_G: 0.042835 Loss_D_real: -0.039976 Loss_D_fake -0.005549
[190/5000][225/535][19292] Loss_D: -0.037638 Loss_G: 0.012745 Loss_D_real: -0.018838 Loss_D_fake 0.018800
[190/5000][230/535][19293] Loss_D: -0.037712 Loss_G: 0.031580 Loss_D_real: -0.026956 Loss_D_fake 0.010756
[190/5000][235/535][19294] Loss_D: -0.036298 Loss_G: 0.025193 Loss_D_real: -0.031009 Loss_D_fake 0.005289
[190/5000][240/535][19295] Loss_D: -0.036335 Loss_G: -0.004905 Loss_D_real: -0.001508 Loss_D_fake 0.034828
[190/5000][245/535][19296] Loss_D: -0.036877 Loss_G: 0.038846 Loss_D_real: -0.041416 Loss_D_fake -0.004539
[190/5000][250/535][19297] Loss_D: -0.036981 Loss_G: -0.005094 Loss_D_real: -0.002832 Loss_D_fake 0.034150
[190/5000][255/535][19298] Loss_D: -0.035713 Loss_G: 0.034480 Loss_D_real: -0.037829 Loss_D_fake -0.002116
[190/5000][260/535][19299] Loss_D: -0.039105 Loss_G: 0.010032 Loss_D_real: -0.020512 Loss_D_fake 0.018593
[190/5000][265/535][19300] Loss_D: -0.038653 Loss_G: 0.014278 Loss_D_real: -0.028095 Loss_D_fake 0.010558
[190/5000][270/535][19301] Loss_D: -0.038699 Loss_G: 0.042728 Loss_D_real: -0.038901 Loss_D_fake -0.000202
[190/5000][275/535][19302] Loss_D: -0.037802 Loss_G: 0.022997 Loss_D_real: -0.024008 Loss_D_fake 0.013794
[190/5000][280/535][19303] Loss_D: -0.037696 Loss_G: 0.032858 Loss_D_real: -0.034125 Loss_D_fake 0.003572
[190/5000][285/535][19304] Loss_D: -0.038355 Loss_G: 0.006226 Loss_D_real: -0.008233 Loss_D_fake 0.030122
[190/5000][290/535][19305] Loss_D: -0.037169 Loss_G: 0.029198 Loss_D_real: -0.030385 Loss_D_fake 0.006783
[190/5000][295/535][19306] Loss_D: -0.038035 Loss_G: 0.023157 Loss_D_real: -0.020408 Loss_D_fake 0.017626
[190/5000][300/535][19307] Loss_D: -0.037302 Loss_G: 0.017252 Loss_D_real: -0.026857 Loss_D_fake 0.010445
[190/5000][305/535][19308] Loss_D: -0.035062 Loss_G: -0.006849 Loss_D_real: -0.005754 Loss_D_fake 0.029308
[190/5000][310/535][19309] Loss_D: -0.037586 Loss_G: 0.031206 Loss_D_real: -0.033406 Loss_D_fake 0.004180
[190/5000][315/535][19310] Loss_D: -0.037814 Loss_G: 0.024279 Loss_D_real: -0.028389 Loss_D_fake 0.009425
[190/5000][320/535][19311] Loss_D: -0.038816 Loss_G: 0.008569 Loss_D_real: -0.017947 Loss_D_fake 0.020869
[190/5000][325/535][19312] Loss_D: -0.038936 Loss_G: 0.018012 Loss_D_real: -0.027098 Loss_D_fake 0.011837
[190/5000][330/535][19313] Loss_D: -0.039553 Loss_G: 0.017409 Loss_D_real: -0.022556 Loss_D_fake 0.016997
[190/5000][335/535][19314] Loss_D: -0.039387 Loss_G: 0.028395 Loss_D_real: -0.028493 Loss_D_fake 0.010893
[190/5000][340/535][19315] Loss_D: -0.040327 Loss_G: 0.013495 Loss_D_real: -0.022548 Loss_D_fake 0.017779
[190/5000][345/535][19316] Loss_D: -0.038077 Loss_G: 0.039255 Loss_D_real: -0.035781 Loss_D_fake 0.002296
[190/5000][350/535][19317] Loss_D: -0.035030 Loss_G: -0.013460 Loss_D_real: -0.005376 Loss_D_fake 0.029654
[190/5000][355/535][19318] Loss_D: -0.036801 Loss_G: 0.036924 Loss_D_real: -0.034506 Loss_D_fake 0.002294
[190/5000][360/535][19319] Loss_D: -0.037092 Loss_G: 0.001860 Loss_D_real: -0.020018 Loss_D_fake 0.017075
[190/5000][365/535][19320] Loss_D: -0.038821 Loss_G: 0.012299 Loss_D_real: -0.023988 Loss_D_fake 0.014833
[190/5000][370/535][19321] Loss_D: -0.034702 Loss_G: 0.056963 Loss_D_real: -0.048705 Loss_D_fake -0.014003
[190/5000][375/535][19322] Loss_D: -0.035974 Loss_G: 0.008788 Loss_D_real: -0.011319 Loss_D_fake 0.024655
[190/5000][380/535][19323] Loss_D: -0.036936 Loss_G: 0.031260 Loss_D_real: -0.033330 Loss_D_fake 0.003606
[190/5000][385/535][19324] Loss_D: -0.036512 Loss_G: -0.005981 Loss_D_real: -0.004505 Loss_D_fake 0.032007
[190/5000][390/535][19325] Loss_D: -0.036356 Loss_G: 0.008425 Loss_D_real: -0.013435 Loss_D_fake 0.022922
[190/5000][395/535][19326] Loss_D: -0.034557 Loss_G: 0.013289 Loss_D_real: -0.024419 Loss_D_fake 0.010138
[190/5000][400/535][19327] Loss_D: -0.037230 Loss_G: 0.043251 Loss_D_real: -0.036377 Loss_D_fake 0.000853
[190/5000][405/535][19328] Loss_D: -0.037489 Loss_G: 0.019954 Loss_D_real: -0.032226 Loss_D_fake 0.005263
[190/5000][410/535][19329] Loss_D: -0.035740 Loss_G: 0.043298 Loss_D_real: -0.044336 Loss_D_fake -0.008596
[190/5000][415/535][19330] Loss_D: -0.036513 Loss_G: 0.001525 Loss_D_real: -0.012824 Loss_D_fake 0.023689
[190/5000][420/535][19331] Loss_D: -0.036717 Loss_G: 0.029161 Loss_D_real: -0.027115 Loss_D_fake 0.009602
[190/5000][425/535][19332] Loss_D: -0.036586 Loss_G: 0.008958 Loss_D_real: -0.011786 Loss_D_fake 0.024800
[190/5000][430/535][19333] Loss_D: -0.036017 Loss_G: 0.025012 Loss_D_real: -0.027872 Loss_D_fake 0.008145
[190/5000][435/535][19334] Loss_D: -0.036347 Loss_G: 0.009007 Loss_D_real: -0.020227 Loss_D_fake 0.016120
[190/5000][440/535][19335] Loss_D: -0.038591 Loss_G: 0.009366 Loss_D_real: -0.022951 Loss_D_fake 0.015640
[190/5000][445/535][19336] Loss_D: -0.038638 Loss_G: 0.028256 Loss_D_real: -0.026469 Loss_D_fake 0.012169
[190/5000][450/535][19337] Loss_D: -0.037143 Loss_G: 0.016946 Loss_D_real: -0.024463 Loss_D_fake 0.012680
[190/5000][455/535][19338] Loss_D: -0.038576 Loss_G: 0.012908 Loss_D_real: -0.022245 Loss_D_fake 0.016331
[190/5000][460/535][19339] Loss_D: -0.037434 Loss_G: 0.004149 Loss_D_real: -0.014996 Loss_D_fake 0.022438
[190/5000][465/535][19340] Loss_D: -0.037877 Loss_G: 0.025756 Loss_D_real: -0.028777 Loss_D_fake 0.009100
[190/5000][470/535][19341] Loss_D: -0.036045 Loss_G: 0.016063 Loss_D_real: -0.031283 Loss_D_fake 0.004761
[190/5000][475/535][19342] Loss_D: -0.035277 Loss_G: 0.030726 Loss_D_real: -0.037162 Loss_D_fake -0.001885
[190/5000][480/535][19343] Loss_D: -0.036692 Loss_G: 0.000842 Loss_D_real: -0.006690 Loss_D_fake 0.030002
[190/5000][485/535][19344] Loss_D: -0.035611 Loss_G: 0.032726 Loss_D_real: -0.038430 Loss_D_fake -0.002820
[190/5000][490/535][19345] Loss_D: -0.035298 Loss_G: -0.012964 Loss_D_real: -0.001839 Loss_D_fake 0.033459
[190/5000][495/535][19346] Loss_D: -0.036186 Loss_G: 0.035451 Loss_D_real: -0.039415 Loss_D_fake -0.003229
[190/5000][500/535][19347] Loss_D: -0.035929 Loss_G: -0.001689 Loss_D_real: -0.007671 Loss_D_fake 0.028258
[190/5000][505/535][19348] Loss_D: -0.035961 Loss_G: 0.006270 Loss_D_real: -0.026446 Loss_D_fake 0.009515
[190/5000][510/535][19349] Loss_D: -0.038496 Loss_G: 0.035794 Loss_D_real: -0.038340 Loss_D_fake 0.000156
[190/5000][515/535][19350] Loss_D: -0.038173 Loss_G: -0.002503 Loss_D_real: -0.012157 Loss_D_fake 0.026016
[190/5000][520/535][19351] Loss_D: -0.038048 Loss_G: 0.010756 Loss_D_real: -0.024154 Loss_D_fake 0.013894
[190/5000][525/535][19352] Loss_D: -0.039707 Loss_G: 0.030437 Loss_D_real: -0.024581 Loss_D_fake 0.015126
[190/5000][530/535][19353] Loss_D: -0.039101 Loss_G: 0.002118 Loss_D_real: -0.004984 Loss_D_fake 0.034116
[190/5000][535/535][19354] Loss_D: -0.037188 Loss_G: 0.016399 Loss_D_real: -0.030977 Loss_D_fake 0.006210
[191/5000][5/535][19355] Loss_D: -0.040125 Loss_G: 0.033750 Loss_D_real: -0.036555 Loss_D_fake 0.003570
[191/5000][10/535][19356] Loss_D: -0.040801 Loss_G: 0.025092 Loss_D_real: -0.024244 Loss_D_fake 0.016557
[191/5000][15/535][19357] Loss_D: -0.038085 Loss_G: 0.005039 Loss_D_real: -0.015570 Loss_D_fake 0.022515
[191/5000][20/535][19358] Loss_D: -0.038060 Loss_G: 0.037724 Loss_D_real: -0.033673 Loss_D_fake 0.004387
[191/5000][25/535][19359] Loss_D: -0.037787 Loss_G: 0.004701 Loss_D_real: -0.008928 Loss_D_fake 0.028859
[191/5000][30/535][19360] Loss_D: -0.038556 Loss_G: 0.002224 Loss_D_real: -0.010072 Loss_D_fake 0.028484
[191/5000][35/535][19361] Loss_D: -0.035670 Loss_G: 0.031427 Loss_D_real: -0.038398 Loss_D_fake -0.002728
[191/5000][40/535][19362] Loss_D: -0.037636 Loss_G: -0.001793 Loss_D_real: -0.019214 Loss_D_fake 0.018422
[191/5000][45/535][19363] Loss_D: -0.037875 Loss_G: 0.021727 Loss_D_real: -0.025602 Loss_D_fake 0.012273
[191/5000][50/535][19364] Loss_D: -0.038304 Loss_G: 0.029934 Loss_D_real: -0.033856 Loss_D_fake 0.004448
[191/5000][55/535][19365] Loss_D: -0.038349 Loss_G: 0.015758 Loss_D_real: -0.021479 Loss_D_fake 0.016870
[191/5000][60/535][19366] Loss_D: -0.037924 Loss_G: 0.000196 Loss_D_real: -0.011823 Loss_D_fake 0.026101
[191/5000][65/535][19367] Loss_D: -0.038197 Loss_G: 0.030748 Loss_D_real: -0.038258 Loss_D_fake -0.000061
[191/5000][70/535][19368] Loss_D: -0.037581 Loss_G: 0.021858 Loss_D_real: -0.021330 Loss_D_fake 0.016251
[191/5000][75/535][19369] Loss_D: -0.038318 Loss_G: 0.031210 Loss_D_real: -0.030534 Loss_D_fake 0.007785
[191/5000][80/535][19370] Loss_D: -0.037378 Loss_G: 0.035115 Loss_D_real: -0.037670 Loss_D_fake -0.000292
[191/5000][85/535][19371] Loss_D: -0.039398 Loss_G: 0.019159 Loss_D_real: -0.024406 Loss_D_fake 0.014992
[191/5000][90/535][19372] Loss_D: -0.037789 Loss_G: 0.015248 Loss_D_real: -0.027702 Loss_D_fake 0.010087
[191/5000][95/535][19373] Loss_D: -0.038852 Loss_G: 0.013315 Loss_D_real: -0.020755 Loss_D_fake 0.018097
[191/5000][100/535][19374] Loss_D: -0.037372 Loss_G: 0.032090 Loss_D_real: -0.037091 Loss_D_fake 0.000281
[191/5000][105/535][19375] Loss_D: -0.038193 Loss_G: -0.003914 Loss_D_real: -0.021221 Loss_D_fake 0.016972
[191/5000][110/535][19376] Loss_D: -0.037087 Loss_G: 0.036328 Loss_D_real: -0.043051 Loss_D_fake -0.005964
[191/5000][115/535][19377] Loss_D: -0.038889 Loss_G: 0.008498 Loss_D_real: -0.015750 Loss_D_fake 0.023139
[191/5000][120/535][19378] Loss_D: -0.038294 Loss_G: 0.013782 Loss_D_real: -0.021117 Loss_D_fake 0.017177
[191/5000][125/535][19379] Loss_D: -0.033038 Loss_G: 0.053101 Loss_D_real: -0.051380 Loss_D_fake -0.018342
[191/5000][130/535][19380] Loss_D: -0.035939 Loss_G: 0.015891 Loss_D_real: -0.022767 Loss_D_fake 0.013172
[191/5000][135/535][19381] Loss_D: -0.037001 Loss_G: 0.030485 Loss_D_real: -0.035052 Loss_D_fake 0.001949
[191/5000][140/535][19382] Loss_D: -0.037313 Loss_G: 0.013400 Loss_D_real: -0.019763 Loss_D_fake 0.017550
[191/5000][145/535][19383] Loss_D: -0.038331 Loss_G: -0.004750 Loss_D_real: -0.006694 Loss_D_fake 0.031637
[191/5000][150/535][19384] Loss_D: -0.036029 Loss_G: 0.035856 Loss_D_real: -0.032228 Loss_D_fake 0.003800
[191/5000][155/535][19385] Loss_D: -0.038011 Loss_G: 0.029150 Loss_D_real: -0.029084 Loss_D_fake 0.008927
[191/5000][160/535][19386] Loss_D: -0.036302 Loss_G: -0.005253 Loss_D_real: 0.001811 Loss_D_fake 0.038113
[191/5000][165/535][19387] Loss_D: -0.035794 Loss_G: 0.031315 Loss_D_real: -0.032120 Loss_D_fake 0.003674
[191/5000][170/535][19388] Loss_D: -0.035862 Loss_G: 0.003896 Loss_D_real: -0.014254 Loss_D_fake 0.021608
[191/5000][175/535][19389] Loss_D: -0.036626 Loss_G: 0.009733 Loss_D_real: -0.016171 Loss_D_fake 0.020456
[191/5000][180/535][19390] Loss_D: -0.036857 Loss_G: 0.010012 Loss_D_real: -0.017299 Loss_D_fake 0.019558
[191/5000][185/535][19391] Loss_D: -0.036590 Loss_G: 0.028641 Loss_D_real: -0.036086 Loss_D_fake 0.000504
[191/5000][190/535][19392] Loss_D: -0.037198 Loss_G: 0.026213 Loss_D_real: -0.024587 Loss_D_fake 0.012611
[191/5000][195/535][19393] Loss_D: -0.038647 Loss_G: 0.008258 Loss_D_real: -0.016271 Loss_D_fake 0.022376
[191/5000][200/535][19394] Loss_D: -0.037716 Loss_G: 0.005336 Loss_D_real: -0.017796 Loss_D_fake 0.019920
[191/5000][205/535][19395] Loss_D: -0.037252 Loss_G: 0.012089 Loss_D_real: -0.020210 Loss_D_fake 0.017042
[191/5000][210/535][19396] Loss_D: -0.037160 Loss_G: 0.028692 Loss_D_real: -0.030610 Loss_D_fake 0.006550
[191/5000][215/535][19397] Loss_D: -0.039418 Loss_G: 0.011884 Loss_D_real: -0.019851 Loss_D_fake 0.019567
[191/5000][220/535][19398] Loss_D: -0.038546 Loss_G: 0.030054 Loss_D_real: -0.031293 Loss_D_fake 0.007253
[191/5000][225/535][19399] Loss_D: -0.039247 Loss_G: -0.000070 Loss_D_real: -0.010610 Loss_D_fake 0.028636
[191/5000][230/535][19400] Loss_D: -0.037120 Loss_G: 0.016000 Loss_D_real: -0.029717 Loss_D_fake 0.007403
[191/5000][235/535][19401] Loss_D: -0.038834 Loss_G: 0.026320 Loss_D_real: -0.029137 Loss_D_fake 0.009697
[191/5000][240/535][19402] Loss_D: -0.038884 Loss_G: 0.002783 Loss_D_real: -0.009522 Loss_D_fake 0.029361
[191/5000][245/535][19403] Loss_D: -0.035896 Loss_G: 0.038563 Loss_D_real: -0.039127 Loss_D_fake -0.003231
[191/5000][250/535][19404] Loss_D: -0.036190 Loss_G: 0.005157 Loss_D_real: -0.009668 Loss_D_fake 0.026522
[191/5000][255/535][19405] Loss_D: -0.037225 Loss_G: 0.009041 Loss_D_real: -0.011719 Loss_D_fake 0.025506
[191/5000][260/535][19406] Loss_D: -0.036392 Loss_G: 0.031091 Loss_D_real: -0.036330 Loss_D_fake 0.000061
[191/5000][265/535][19407] Loss_D: -0.038473 Loss_G: 0.031115 Loss_D_real: -0.025910 Loss_D_fake 0.012563
[191/5000][270/535][19408] Loss_D: -0.038721 Loss_G: 0.027933 Loss_D_real: -0.026546 Loss_D_fake 0.012175
[191/5000][275/535][19409] Loss_D: -0.038048 Loss_G: 0.002049 Loss_D_real: -0.011116 Loss_D_fake 0.026932
[191/5000][280/535][19410] Loss_D: -0.035819 Loss_G: 0.041218 Loss_D_real: -0.042786 Loss_D_fake -0.006967
[191/5000][285/535][19411] Loss_D: -0.037199 Loss_G: -0.005842 Loss_D_real: -0.006713 Loss_D_fake 0.030486
[191/5000][290/535][19412] Loss_D: -0.038355 Loss_G: 0.017648 Loss_D_real: -0.029824 Loss_D_fake 0.008532
[191/5000][295/535][19413] Loss_D: -0.036017 Loss_G: 0.001108 Loss_D_real: -0.012582 Loss_D_fake 0.023436
[191/5000][300/535][19414] Loss_D: -0.038264 Loss_G: 0.033721 Loss_D_real: -0.032084 Loss_D_fake 0.006180
[191/5000][305/535][19415] Loss_D: -0.037675 Loss_G: 0.015957 Loss_D_real: -0.024024 Loss_D_fake 0.013651
[191/5000][310/535][19416] Loss_D: -0.035189 Loss_G: -0.000023 Loss_D_real: -0.002939 Loss_D_fake 0.032250
[191/5000][315/535][19417] Loss_D: -0.035484 Loss_G: 0.036077 Loss_D_real: -0.032812 Loss_D_fake 0.002673
[191/5000][320/535][19418] Loss_D: -0.037831 Loss_G: 0.011907 Loss_D_real: -0.021706 Loss_D_fake 0.016125
[191/5000][325/535][19419] Loss_D: -0.037027 Loss_G: 0.022291 Loss_D_real: -0.024608 Loss_D_fake 0.012418
[191/5000][330/535][19420] Loss_D: -0.038299 Loss_G: 0.014587 Loss_D_real: -0.018968 Loss_D_fake 0.019331
[191/5000][335/535][19421] Loss_D: -0.036210 Loss_G: 0.013860 Loss_D_real: -0.023286 Loss_D_fake 0.012924
[191/5000][340/535][19422] Loss_D: -0.037170 Loss_G: 0.046186 Loss_D_real: -0.036454 Loss_D_fake 0.000716
[191/5000][345/535][19423] Loss_D: -0.036828 Loss_G: -0.002173 Loss_D_real: -0.012227 Loss_D_fake 0.024601
[191/5000][350/535][19424] Loss_D: -0.034345 Loss_G: 0.030876 Loss_D_real: -0.036348 Loss_D_fake -0.002004
[191/5000][355/535][19425] Loss_D: -0.037255 Loss_G: 0.029075 Loss_D_real: -0.034560 Loss_D_fake 0.002695
[191/5000][360/535][19426] Loss_D: -0.036034 Loss_G: 0.033522 Loss_D_real: -0.030644 Loss_D_fake 0.005390
[191/5000][365/535][19427] Loss_D: -0.038867 Loss_G: 0.029827 Loss_D_real: -0.027626 Loss_D_fake 0.011242
[191/5000][370/535][19428] Loss_D: -0.035842 Loss_G: -0.016528 Loss_D_real: 0.004237 Loss_D_fake 0.040079
[191/5000][375/535][19429] Loss_D: -0.035826 Loss_G: 0.026669 Loss_D_real: -0.038193 Loss_D_fake -0.002367
[191/5000][380/535][19430] Loss_D: -0.037842 Loss_G: 0.030658 Loss_D_real: -0.033350 Loss_D_fake 0.004492
[191/5000][385/535][19431] Loss_D: -0.038014 Loss_G: 0.004208 Loss_D_real: -0.011494 Loss_D_fake 0.026520
[191/5000][390/535][19432] Loss_D: -0.037136 Loss_G: 0.033001 Loss_D_real: -0.028999 Loss_D_fake 0.008138
[191/5000][395/535][19433] Loss_D: -0.039064 Loss_G: 0.019169 Loss_D_real: -0.022103 Loss_D_fake 0.016960
[191/5000][400/535][19434] Loss_D: -0.036363 Loss_G: 0.015878 Loss_D_real: -0.024151 Loss_D_fake 0.012212
[191/5000][405/535][19435] Loss_D: -0.037482 Loss_G: 0.007324 Loss_D_real: -0.021457 Loss_D_fake 0.016025
[191/5000][410/535][19436] Loss_D: -0.038305 Loss_G: 0.018614 Loss_D_real: -0.026950 Loss_D_fake 0.011355
[191/5000][415/535][19437] Loss_D: -0.038450 Loss_G: 0.030840 Loss_D_real: -0.032433 Loss_D_fake 0.006017
[191/5000][420/535][19438] Loss_D: -0.038208 Loss_G: 0.006651 Loss_D_real: -0.015869 Loss_D_fake 0.022338
[191/5000][425/535][19439] Loss_D: -0.039415 Loss_G: 0.019461 Loss_D_real: -0.028946 Loss_D_fake 0.010469
[191/5000][430/535][19440] Loss_D: -0.038342 Loss_G: -0.020717 Loss_D_real: -0.004594 Loss_D_fake 0.033748
[191/5000][435/535][19441] Loss_D: -0.037282 Loss_G: 0.036462 Loss_D_real: -0.027529 Loss_D_fake 0.009752
[191/5000][440/535][19442] Loss_D: -0.036343 Loss_G: 0.001623 Loss_D_real: -0.009860 Loss_D_fake 0.026483
[191/5000][445/535][19443] Loss_D: -0.036466 Loss_G: 0.029058 Loss_D_real: -0.028893 Loss_D_fake 0.007573
[191/5000][450/535][19444] Loss_D: -0.037698 Loss_G: 0.007924 Loss_D_real: -0.012335 Loss_D_fake 0.025363
[191/5000][455/535][19445] Loss_D: -0.035933 Loss_G: 0.031229 Loss_D_real: -0.036377 Loss_D_fake -0.000445
[191/5000][460/535][19446] Loss_D: -0.035285 Loss_G: 0.001523 Loss_D_real: -0.008100 Loss_D_fake 0.027185
[191/5000][465/535][19447] Loss_D: -0.037405 Loss_G: 0.038286 Loss_D_real: -0.037588 Loss_D_fake -0.000184
[191/5000][470/535][19448] Loss_D: -0.036163 Loss_G: 0.023744 Loss_D_real: -0.032702 Loss_D_fake 0.003461
[191/5000][475/535][19449] Loss_D: -0.037093 Loss_G: 0.019011 Loss_D_real: -0.024511 Loss_D_fake 0.012582
[191/5000][480/535][19450] Loss_D: -0.036632 Loss_G: 0.026045 Loss_D_real: -0.032054 Loss_D_fake 0.004578
[191/5000][485/535][19451] Loss_D: -0.034977 Loss_G: 0.019858 Loss_D_real: -0.019899 Loss_D_fake 0.015078
[191/5000][490/535][19452] Loss_D: -0.037495 Loss_G: 0.033343 Loss_D_real: -0.036222 Loss_D_fake 0.001273
[191/5000][495/535][19453] Loss_D: -0.038867 Loss_G: 0.037881 Loss_D_real: -0.034658 Loss_D_fake 0.004209
[191/5000][500/535][19454] Loss_D: -0.037948 Loss_G: 0.015477 Loss_D_real: -0.010632 Loss_D_fake 0.027316
[191/5000][505/535][19455] Loss_D: -0.037422 Loss_G: 0.035239 Loss_D_real: -0.039021 Loss_D_fake -0.001598
[191/5000][510/535][19456] Loss_D: -0.039786 Loss_G: -0.010897 Loss_D_real: -0.008196 Loss_D_fake 0.031590
[191/5000][515/535][19457] Loss_D: -0.036906 Loss_G: 0.024130 Loss_D_real: -0.022852 Loss_D_fake 0.014054
[191/5000][520/535][19458] Loss_D: -0.037221 Loss_G: -0.004565 Loss_D_real: -0.009082 Loss_D_fake 0.028140
[191/5000][525/535][19459] Loss_D: -0.038995 Loss_G: 0.023882 Loss_D_real: -0.031410 Loss_D_fake 0.007585
[191/5000][530/535][19460] Loss_D: -0.036897 Loss_G: 0.026794 Loss_D_real: -0.026833 Loss_D_fake 0.010064
[191/5000][535/535][19461] Loss_D: -0.035908 Loss_G: -0.025502 Loss_D_real: -0.006448 Loss_D_fake 0.029460
[192/5000][5/535][19462] Loss_D: -0.036733 Loss_G: 0.003201 Loss_D_real: -0.016008 Loss_D_fake 0.020725
[192/5000][10/535][19463] Loss_D: -0.037110 Loss_G: 0.042465 Loss_D_real: -0.045904 Loss_D_fake -0.008794
[192/5000][15/535][19464] Loss_D: -0.037721 Loss_G: 0.014692 Loss_D_real: -0.018856 Loss_D_fake 0.018865
[192/5000][20/535][19465] Loss_D: -0.038235 Loss_G: 0.037174 Loss_D_real: -0.034668 Loss_D_fake 0.003568
[192/5000][25/535][19466] Loss_D: -0.037598 Loss_G: 0.011396 Loss_D_real: -0.016128 Loss_D_fake 0.021470
[192/5000][30/535][19467] Loss_D: -0.038307 Loss_G: 0.033658 Loss_D_real: -0.034306 Loss_D_fake 0.004001
[192/5000][35/535][19468] Loss_D: -0.037735 Loss_G: 0.006453 Loss_D_real: -0.015138 Loss_D_fake 0.022596
[192/5000][40/535][19469] Loss_D: -0.038755 Loss_G: 0.026144 Loss_D_real: -0.027111 Loss_D_fake 0.011644
[192/5000][45/535][19470] Loss_D: -0.037247 Loss_G: 0.044733 Loss_D_real: -0.045846 Loss_D_fake -0.008599
[192/5000][50/535][19471] Loss_D: -0.037563 Loss_G: -0.008837 Loss_D_real: -0.008586 Loss_D_fake 0.028977
[192/5000][55/535][19472] Loss_D: -0.035931 Loss_G: 0.029361 Loss_D_real: -0.030376 Loss_D_fake 0.005556
[192/5000][60/535][19473] Loss_D: -0.038904 Loss_G: 0.016212 Loss_D_real: -0.017157 Loss_D_fake 0.021746
[192/5000][65/535][19474] Loss_D: -0.037455 Loss_G: 0.013881 Loss_D_real: -0.022014 Loss_D_fake 0.015442
[192/5000][70/535][19475] Loss_D: -0.037241 Loss_G: 0.022733 Loss_D_real: -0.028816 Loss_D_fake 0.008425
[192/5000][75/535][19476] Loss_D: -0.037249 Loss_G: 0.013173 Loss_D_real: -0.020005 Loss_D_fake 0.017244
[192/5000][80/535][19477] Loss_D: -0.037642 Loss_G: 0.026879 Loss_D_real: -0.039783 Loss_D_fake -0.002141
[192/5000][85/535][19478] Loss_D: -0.037597 Loss_G: -0.001986 Loss_D_real: -0.014501 Loss_D_fake 0.023096
[192/5000][90/535][19479] Loss_D: -0.038162 Loss_G: 0.033794 Loss_D_real: -0.036978 Loss_D_fake 0.001185
[192/5000][95/535][19480] Loss_D: -0.039057 Loss_G: 0.022559 Loss_D_real: -0.028799 Loss_D_fake 0.010258
[192/5000][100/535][19481] Loss_D: -0.037211 Loss_G: 0.010034 Loss_D_real: -0.016306 Loss_D_fake 0.020905
[192/5000][105/535][19482] Loss_D: -0.037786 Loss_G: 0.024287 Loss_D_real: -0.027047 Loss_D_fake 0.010739
[192/5000][110/535][19483] Loss_D: -0.036854 Loss_G: -0.001227 Loss_D_real: -0.012269 Loss_D_fake 0.024585
[192/5000][115/535][19484] Loss_D: -0.035845 Loss_G: 0.026009 Loss_D_real: -0.035131 Loss_D_fake 0.000714
[192/5000][120/535][19485] Loss_D: -0.037275 Loss_G: 0.010866 Loss_D_real: -0.022390 Loss_D_fake 0.014885
[192/5000][125/535][19486] Loss_D: -0.038106 Loss_G: 0.007354 Loss_D_real: -0.020098 Loss_D_fake 0.018008
[192/5000][130/535][19487] Loss_D: -0.036935 Loss_G: 0.021397 Loss_D_real: -0.027879 Loss_D_fake 0.009056
[192/5000][135/535][19488] Loss_D: -0.037475 Loss_G: -0.012128 Loss_D_real: -0.002725 Loss_D_fake 0.034750
[192/5000][140/535][19489] Loss_D: -0.036990 Loss_G: 0.040628 Loss_D_real: -0.038567 Loss_D_fake -0.001577
[192/5000][145/535][19490] Loss_D: -0.035729 Loss_G: 0.002579 Loss_D_real: -0.016996 Loss_D_fake 0.018733
[192/5000][150/535][19491] Loss_D: -0.034773 Loss_G: 0.023316 Loss_D_real: -0.031266 Loss_D_fake 0.003507
[192/5000][155/535][19492] Loss_D: -0.036834 Loss_G: 0.024825 Loss_D_real: -0.029111 Loss_D_fake 0.007723
[192/5000][160/535][19493] Loss_D: -0.037362 Loss_G: 0.008407 Loss_D_real: -0.020656 Loss_D_fake 0.016706
[192/5000][165/535][19494] Loss_D: -0.036280 Loss_G: 0.017801 Loss_D_real: -0.023061 Loss_D_fake 0.013219
[192/5000][170/535][19495] Loss_D: -0.037881 Loss_G: 0.023748 Loss_D_real: -0.021860 Loss_D_fake 0.016021
[192/5000][175/535][19496] Loss_D: -0.039192 Loss_G: 0.000293 Loss_D_real: -0.010552 Loss_D_fake 0.028639
[192/5000][180/535][19497] Loss_D: -0.038262 Loss_G: 0.030074 Loss_D_real: -0.032281 Loss_D_fake 0.005981
[192/5000][185/535][19498] Loss_D: -0.038133 Loss_G: 0.011714 Loss_D_real: -0.022128 Loss_D_fake 0.016005
[192/5000][190/535][19499] Loss_D: -0.039351 Loss_G: 0.044205 Loss_D_real: -0.039516 Loss_D_fake -0.000166
[192/5000][195/535][19500] Loss_D: -0.037684 Loss_G: 0.001746 Loss_D_real: -0.009151 Loss_D_fake 0.028533
[192/5000][295/535][19501] Loss_D: -0.038144 Loss_G: -0.010609 Loss_D_real: -0.004977 Loss_D_fake 0.033166
[192/5000][300/535][19502] Loss_D: -0.037125 Loss_G: 0.028448 Loss_D_real: -0.025877 Loss_D_fake 0.011248
[192/5000][305/535][19503] Loss_D: -0.039010 Loss_G: 0.024266 Loss_D_real: -0.019659 Loss_D_fake 0.019351
[192/5000][310/535][19504] Loss_D: -0.039059 Loss_G: 0.027416 Loss_D_real: -0.029581 Loss_D_fake 0.009478
[192/5000][315/535][19505] Loss_D: -0.038097 Loss_G: 0.036430 Loss_D_real: -0.030360 Loss_D_fake 0.007737
[192/5000][320/535][19506] Loss_D: -0.038491 Loss_G: 0.027375 Loss_D_real: -0.028040 Loss_D_fake 0.010450
[192/5000][325/535][19507] Loss_D: -0.037174 Loss_G: 0.040872 Loss_D_real: -0.035833 Loss_D_fake 0.001342
[192/5000][330/535][19508] Loss_D: -0.037163 Loss_G: 0.019219 Loss_D_real: -0.013371 Loss_D_fake 0.023792
[192/5000][335/535][19509] Loss_D: -0.036515 Loss_G: 0.010729 Loss_D_real: -0.023983 Loss_D_fake 0.012532
[192/5000][340/535][19510] Loss_D: -0.037691 Loss_G: 0.028610 Loss_D_real: -0.028529 Loss_D_fake 0.009162
[192/5000][345/535][19511] Loss_D: -0.037567 Loss_G: -0.001950 Loss_D_real: -0.011519 Loss_D_fake 0.026048
[192/5000][350/535][19512] Loss_D: -0.037770 Loss_G: 0.031659 Loss_D_real: -0.034259 Loss_D_fake 0.003511
[192/5000][355/535][19513] Loss_D: -0.038564 Loss_G: 0.012051 Loss_D_real: -0.014547 Loss_D_fake 0.024017
[192/5000][360/535][19514] Loss_D: -0.035436 Loss_G: 0.001664 Loss_D_real: -0.002356 Loss_D_fake 0.033079
[192/5000][365/535][19515] Loss_D: -0.037332 Loss_G: 0.016029 Loss_D_real: -0.027231 Loss_D_fake 0.010101
[192/5000][370/535][19516] Loss_D: -0.035734 Loss_G: 0.030353 Loss_D_real: -0.040249 Loss_D_fake -0.004515
[192/5000][375/535][19517] Loss_D: -0.038393 Loss_G: 0.025554 Loss_D_real: -0.024417 Loss_D_fake 0.013976
[192/5000][380/535][19518] Loss_D: -0.036828 Loss_G: -0.003175 Loss_D_real: -0.006740 Loss_D_fake 0.030088
[192/5000][385/535][19519] Loss_D: -0.036571 Loss_G: 0.020895 Loss_D_real: -0.033344 Loss_D_fake 0.003228
[192/5000][390/535][19520] Loss_D: -0.038178 Loss_G: -0.000958 Loss_D_real: -0.000693 Loss_D_fake 0.037485
[192/5000][395/535][19521] Loss_D: -0.036085 Loss_G: 0.036731 Loss_D_real: -0.036024 Loss_D_fake 0.000061
[192/5000][400/535][19522] Loss_D: -0.036942 Loss_G: -0.003973 Loss_D_real: -0.004034 Loss_D_fake 0.032908
[192/5000][405/535][19523] Loss_D: -0.037514 Loss_G: 0.034652 Loss_D_real: -0.024959 Loss_D_fake 0.012556
[192/5000][410/535][19524] Loss_D: -0.038125 Loss_G: -0.004291 Loss_D_real: -0.007527 Loss_D_fake 0.030598
[192/5000][415/535][19525] Loss_D: -0.035815 Loss_G: 0.031345 Loss_D_real: -0.036781 Loss_D_fake -0.000966
[192/5000][420/535][19526] Loss_D: -0.035168 Loss_G: 0.010876 Loss_D_real: -0.017674 Loss_D_fake 0.017495
[192/5000][425/535][19527] Loss_D: -0.036309 Loss_G: 0.021218 Loss_D_real: -0.029286 Loss_D_fake 0.007022
[192/5000][430/535][19528] Loss_D: -0.036369 Loss_G: 0.005155 Loss_D_real: -0.011237 Loss_D_fake 0.025132
[192/5000][435/535][19529] Loss_D: -0.037736 Loss_G: 0.011592 Loss_D_real: -0.019047 Loss_D_fake 0.018689
[192/5000][440/535][19530] Loss_D: -0.037443 Loss_G: 0.004420 Loss_D_real: -0.003644 Loss_D_fake 0.033799
[192/5000][445/535][19531] Loss_D: -0.036906 Loss_G: 0.008790 Loss_D_real: -0.015496 Loss_D_fake 0.021410
[192/5000][450/535][19532] Loss_D: -0.036720 Loss_G: 0.026326 Loss_D_real: -0.028896 Loss_D_fake 0.007823
[192/5000][455/535][19533] Loss_D: -0.038748 Loss_G: 0.028433 Loss_D_real: -0.028679 Loss_D_fake 0.010069
[192/5000][460/535][19534] Loss_D: -0.038265 Loss_G: 0.012827 Loss_D_real: -0.018616 Loss_D_fake 0.019649
[192/5000][465/535][19535] Loss_D: -0.037329 Loss_G: 0.031828 Loss_D_real: -0.029401 Loss_D_fake 0.007927
[192/5000][470/535][19536] Loss_D: -0.038367 Loss_G: 0.015107 Loss_D_real: -0.021820 Loss_D_fake 0.016547
[192/5000][475/535][19537] Loss_D: -0.037603 Loss_G: 0.033040 Loss_D_real: -0.035625 Loss_D_fake 0.001978
[192/5000][480/535][19538] Loss_D: -0.038793 Loss_G: 0.008882 Loss_D_real: -0.023027 Loss_D_fake 0.015766
[192/5000][485/535][19539] Loss_D: -0.036472 Loss_G: 0.020611 Loss_D_real: -0.022653 Loss_D_fake 0.013820
[192/5000][490/535][19540] Loss_D: -0.034576 Loss_G: 0.041035 Loss_D_real: -0.043667 Loss_D_fake -0.009091
[192/5000][495/535][19541] Loss_D: -0.036098 Loss_G: -0.011719 Loss_D_real: 0.006416 Loss_D_fake 0.042514
[192/5000][500/535][19542] Loss_D: -0.036392 Loss_G: 0.020763 Loss_D_real: -0.024455 Loss_D_fake 0.011937
[192/5000][505/535][19543] Loss_D: -0.037433 Loss_G: 0.030559 Loss_D_real: -0.023727 Loss_D_fake 0.013706
[192/5000][510/535][19544] Loss_D: -0.037875 Loss_G: 0.033548 Loss_D_real: -0.032771 Loss_D_fake 0.005104
[192/5000][515/535][19545] Loss_D: -0.036866 Loss_G: 0.008992 Loss_D_real: -0.014703 Loss_D_fake 0.022164
[192/5000][520/535][19546] Loss_D: -0.038181 Loss_G: 0.029115 Loss_D_real: -0.030055 Loss_D_fake 0.008126
[192/5000][525/535][19547] Loss_D: -0.036335 Loss_G: 0.033444 Loss_D_real: -0.038777 Loss_D_fake -0.002442
[192/5000][530/535][19548] Loss_D: -0.040183 Loss_G: 0.022093 Loss_D_real: -0.024799 Loss_D_fake 0.015384
[192/5000][535/535][19549] Loss_D: -0.036880 Loss_G: 0.012414 Loss_D_real: -0.022464 Loss_D_fake 0.014416
[193/5000][5/535][19550] Loss_D: -0.037546 Loss_G: 0.047081 Loss_D_real: -0.050623 Loss_D_fake -0.013077
[193/5000][10/535][19551] Loss_D: -0.036188 Loss_G: 0.008911 Loss_D_real: -0.008562 Loss_D_fake 0.027626
[193/5000][15/535][19552] Loss_D: -0.038161 Loss_G: 0.026387 Loss_D_real: -0.027486 Loss_D_fake 0.010675
[193/5000][20/535][19553] Loss_D: -0.038108 Loss_G: 0.022846 Loss_D_real: -0.025466 Loss_D_fake 0.012641
[193/5000][25/535][19554] Loss_D: -0.038356 Loss_G: 0.035427 Loss_D_real: -0.033016 Loss_D_fake 0.005341
[193/5000][30/535][19555] Loss_D: -0.038984 Loss_G: 0.004188 Loss_D_real: -0.010249 Loss_D_fake 0.028734
[193/5000][35/535][19556] Loss_D: -0.036844 Loss_G: 0.045837 Loss_D_real: -0.042426 Loss_D_fake -0.005582
[193/5000][40/535][19557] Loss_D: -0.039194 Loss_G: 0.003945 Loss_D_real: -0.011414 Loss_D_fake 0.027780
[193/5000][45/535][19558] Loss_D: -0.036826 Loss_G: 0.017688 Loss_D_real: -0.020054 Loss_D_fake 0.016772
[193/5000][50/535][19559] Loss_D: -0.037476 Loss_G: 0.012844 Loss_D_real: -0.021013 Loss_D_fake 0.016464
[193/5000][55/535][19560] Loss_D: -0.039371 Loss_G: 0.015868 Loss_D_real: -0.020385 Loss_D_fake 0.018986
[193/5000][60/535][19561] Loss_D: -0.037249 Loss_G: -0.001421 Loss_D_real: -0.013130 Loss_D_fake 0.024119
[193/5000][65/535][19562] Loss_D: -0.037618 Loss_G: 0.037314 Loss_D_real: -0.039817 Loss_D_fake -0.002199
[193/5000][70/535][19563] Loss_D: -0.036445 Loss_G: 0.002414 Loss_D_real: -0.013354 Loss_D_fake 0.023091
[193/5000][75/535][19564] Loss_D: -0.036319 Loss_G: 0.006735 Loss_D_real: -0.018885 Loss_D_fake 0.017434
[193/5000][80/535][19565] Loss_D: -0.037237 Loss_G: 0.040192 Loss_D_real: -0.039848 Loss_D_fake -0.002611
[193/5000][85/535][19566] Loss_D: -0.038538 Loss_G: -0.000884 Loss_D_real: -0.013500 Loss_D_fake 0.025038
[193/5000][90/535][19567] Loss_D: -0.035301 Loss_G: 0.045814 Loss_D_real: -0.043377 Loss_D_fake -0.008075
[193/5000][95/535][19568] Loss_D: -0.039210 Loss_G: 0.017967 Loss_D_real: -0.022530 Loss_D_fake 0.016680
[193/5000][100/535][19569] Loss_D: -0.036572 Loss_G: 0.028245 Loss_D_real: -0.029404 Loss_D_fake 0.007169
[193/5000][105/535][19570] Loss_D: -0.036582 Loss_G: 0.005513 Loss_D_real: -0.008862 Loss_D_fake 0.027720
[193/5000][110/535][19571] Loss_D: -0.037445 Loss_G: 0.030253 Loss_D_real: -0.038717 Loss_D_fake -0.001271
[193/5000][115/535][19572] Loss_D: -0.037924 Loss_G: -0.004408 Loss_D_real: -0.000851 Loss_D_fake 0.037073
[193/5000][120/535][19573] Loss_D: -0.035441 Loss_G: 0.032800 Loss_D_real: -0.039594 Loss_D_fake -0.004152
[193/5000][125/535][19574] Loss_D: -0.036089 Loss_G: 0.014191 Loss_D_real: -0.013076 Loss_D_fake 0.023013
[193/5000][130/535][19575] Loss_D: -0.038698 Loss_G: 0.028954 Loss_D_real: -0.030559 Loss_D_fake 0.008140
[193/5000][135/535][19576] Loss_D: -0.037727 Loss_G: 0.001065 Loss_D_real: -0.007525 Loss_D_fake 0.030203
[193/5000][140/535][19577] Loss_D: -0.036644 Loss_G: 0.035970 Loss_D_real: -0.036373 Loss_D_fake 0.000271
[193/5000][145/535][19578] Loss_D: -0.037552 Loss_G: 0.027075 Loss_D_real: -0.024878 Loss_D_fake 0.012674
[193/5000][150/535][19579] Loss_D: -0.038865 Loss_G: 0.018751 Loss_D_real: -0.022823 Loss_D_fake 0.016043
[193/5000][155/535][19580] Loss_D: -0.038773 Loss_G: 0.022489 Loss_D_real: -0.019568 Loss_D_fake 0.019205
[193/5000][160/535][19581] Loss_D: -0.037197 Loss_G: 0.025126 Loss_D_real: -0.028547 Loss_D_fake 0.008649
[193/5000][165/535][19582] Loss_D: -0.039268 Loss_G: 0.004621 Loss_D_real: -0.017213 Loss_D_fake 0.022054
[193/5000][170/535][19583] Loss_D: -0.036566 Loss_G: 0.000323 Loss_D_real: -0.018067 Loss_D_fake 0.018499
[193/5000][175/535][19584] Loss_D: -0.037846 Loss_G: 0.014034 Loss_D_real: -0.020670 Loss_D_fake 0.017176
[193/5000][180/535][19585] Loss_D: -0.037352 Loss_G: 0.009107 Loss_D_real: -0.014306 Loss_D_fake 0.023045
[193/5000][185/535][19586] Loss_D: -0.036611 Loss_G: 0.015556 Loss_D_real: -0.024151 Loss_D_fake 0.012460
[193/5000][190/535][19587] Loss_D: -0.038481 Loss_G: 0.041340 Loss_D_real: -0.032808 Loss_D_fake 0.005673
[193/5000][195/535][19588] Loss_D: -0.038104 Loss_G: 0.030073 Loss_D_real: -0.025169 Loss_D_fake 0.012935
[193/5000][200/535][19589] Loss_D: -0.035369 Loss_G: -0.000650 Loss_D_real: -0.009877 Loss_D_fake 0.025491
[193/5000][205/535][19590] Loss_D: -0.034885 Loss_G: 0.053166 Loss_D_real: -0.046020 Loss_D_fake -0.011135
[193/5000][210/535][19591] Loss_D: -0.036762 Loss_G: 0.006967 Loss_D_real: -0.015936 Loss_D_fake 0.020826
[193/5000][215/535][19592] Loss_D: -0.037014 Loss_G: 0.023480 Loss_D_real: -0.025695 Loss_D_fake 0.011319
[193/5000][220/535][19593] Loss_D: -0.038644 Loss_G: 0.022196 Loss_D_real: -0.034019 Loss_D_fake 0.004625
[193/5000][225/535][19594] Loss_D: -0.037216 Loss_G: 0.005189 Loss_D_real: -0.014194 Loss_D_fake 0.023022
[193/5000][230/535][19595] Loss_D: -0.036977 Loss_G: 0.024488 Loss_D_real: -0.024205 Loss_D_fake 0.012772
[193/5000][235/535][19596] Loss_D: -0.037263 Loss_G: 0.006770 Loss_D_real: -0.012202 Loss_D_fake 0.025061
[193/5000][240/535][19597] Loss_D: -0.035787 Loss_G: 0.030551 Loss_D_real: -0.033109 Loss_D_fake 0.002678
[193/5000][245/535][19598] Loss_D: -0.037623 Loss_G: 0.014551 Loss_D_real: -0.022186 Loss_D_fake 0.015438
[193/5000][250/535][19599] Loss_D: -0.034347 Loss_G: 0.024011 Loss_D_real: -0.027523 Loss_D_fake 0.006824
[193/5000][255/535][19600] Loss_D: -0.038304 Loss_G: 0.025485 Loss_D_real: -0.022388 Loss_D_fake 0.015916
[193/5000][260/535][19601] Loss_D: -0.037071 Loss_G: 0.008829 Loss_D_real: -0.014902 Loss_D_fake 0.022169
[193/5000][265/535][19602] Loss_D: -0.037082 Loss_G: 0.031350 Loss_D_real: -0.027900 Loss_D_fake 0.009182
[193/5000][270/535][19603] Loss_D: -0.039243 Loss_G: 0.011946 Loss_D_real: -0.005181 Loss_D_fake 0.034062
[193/5000][275/535][19604] Loss_D: -0.036656 Loss_G: -0.014357 Loss_D_real: 0.005085 Loss_D_fake 0.041740
[193/5000][280/535][19605] Loss_D: -0.036805 Loss_G: 0.044949 Loss_D_real: -0.038724 Loss_D_fake -0.001920
[193/5000][285/535][19606] Loss_D: -0.038816 Loss_G: 0.008654 Loss_D_real: -0.016813 Loss_D_fake 0.022003
[193/5000][290/535][19607] Loss_D: -0.037294 Loss_G: 0.016878 Loss_D_real: -0.024666 Loss_D_fake 0.012628
[193/5000][295/535][19608] Loss_D: -0.038621 Loss_G: 0.024884 Loss_D_real: -0.027809 Loss_D_fake 0.010811
[193/5000][300/535][19609] Loss_D: -0.039113 Loss_G: 0.031009 Loss_D_real: -0.030725 Loss_D_fake 0.008388
[193/5000][305/535][19610] Loss_D: -0.039787 Loss_G: 0.017449 Loss_D_real: -0.016754 Loss_D_fake 0.023033
[193/5000][310/535][19611] Loss_D: -0.039939 Loss_G: 0.009957 Loss_D_real: -0.015042 Loss_D_fake 0.024897
[193/5000][315/535][19612] Loss_D: -0.036684 Loss_G: 0.048076 Loss_D_real: -0.045223 Loss_D_fake -0.008539
[193/5000][320/535][19613] Loss_D: -0.037057 Loss_G: 0.013439 Loss_D_real: -0.024411 Loss_D_fake 0.012645
[193/5000][325/535][19614] Loss_D: -0.039958 Loss_G: 0.022995 Loss_D_real: -0.023159 Loss_D_fake 0.016799
[193/5000][330/535][19615] Loss_D: -0.038179 Loss_G: 0.033046 Loss_D_real: -0.032081 Loss_D_fake 0.006099
[193/5000][335/535][19616] Loss_D: -0.035522 Loss_G: 0.018424 Loss_D_real: -0.018262 Loss_D_fake 0.017260
[193/5000][340/535][19617] Loss_D: -0.033902 Loss_G: 0.049529 Loss_D_real: -0.051818 Loss_D_fake -0.017915
[193/5000][345/535][19618] Loss_D: -0.036685 Loss_G: -0.008938 Loss_D_real: -0.001128 Loss_D_fake 0.035556
[193/5000][350/535][19619] Loss_D: -0.035482 Loss_G: 0.035165 Loss_D_real: -0.035606 Loss_D_fake -0.000124
[193/5000][355/535][19620] Loss_D: -0.036916 Loss_G: 0.006190 Loss_D_real: -0.017098 Loss_D_fake 0.019817
[193/5000][360/535][19621] Loss_D: -0.035562 Loss_G: 0.027228 Loss_D_real: -0.025242 Loss_D_fake 0.010320
[193/5000][365/535][19622] Loss_D: -0.037073 Loss_G: 0.002366 Loss_D_real: -0.006896 Loss_D_fake 0.030177
[193/5000][370/535][19623] Loss_D: -0.036156 Loss_G: 0.034783 Loss_D_real: -0.026806 Loss_D_fake 0.009350
[193/5000][375/535][19624] Loss_D: -0.037892 Loss_G: 0.024124 Loss_D_real: -0.017095 Loss_D_fake 0.020797
[193/5000][380/535][19625] Loss_D: -0.037498 Loss_G: 0.028005 Loss_D_real: -0.030456 Loss_D_fake 0.007043
[193/5000][385/535][19626] Loss_D: -0.037866 Loss_G: 0.024821 Loss_D_real: -0.031955 Loss_D_fake 0.005911
[193/5000][390/535][19627] Loss_D: -0.037604 Loss_G: 0.022504 Loss_D_real: -0.025120 Loss_D_fake 0.012484
[193/5000][395/535][19628] Loss_D: -0.035207 Loss_G: 0.045124 Loss_D_real: -0.039429 Loss_D_fake -0.004222
[193/5000][400/535][19629] Loss_D: -0.037360 Loss_G: 0.000198 Loss_D_real: -0.007946 Loss_D_fake 0.029414
[193/5000][405/535][19630] Loss_D: -0.037521 Loss_G: 0.031806 Loss_D_real: -0.035951 Loss_D_fake 0.001569
[193/5000][410/535][19631] Loss_D: -0.036388 Loss_G: 0.031337 Loss_D_real: -0.035970 Loss_D_fake 0.000418
[193/5000][415/535][19632] Loss_D: -0.036288 Loss_G: 0.042470 Loss_D_real: -0.040477 Loss_D_fake -0.004189
[193/5000][420/535][19633] Loss_D: -0.038717 Loss_G: 0.009998 Loss_D_real: -0.018136 Loss_D_fake 0.020581
[193/5000][425/535][19634] Loss_D: -0.037571 Loss_G: 0.021143 Loss_D_real: -0.020120 Loss_D_fake 0.017451
[193/5000][430/535][19635] Loss_D: -0.037176 Loss_G: 0.016816 Loss_D_real: -0.019571 Loss_D_fake 0.017605
[193/5000][435/535][19636] Loss_D: -0.037191 Loss_G: 0.034053 Loss_D_real: -0.038970 Loss_D_fake -0.001778
[193/5000][440/535][19637] Loss_D: -0.038638 Loss_G: 0.028014 Loss_D_real: -0.023348 Loss_D_fake 0.015290
[193/5000][445/535][19638] Loss_D: -0.037079 Loss_G: 0.010819 Loss_D_real: -0.012619 Loss_D_fake 0.024460
[193/5000][450/535][19639] Loss_D: -0.038635 Loss_G: 0.012474 Loss_D_real: -0.023359 Loss_D_fake 0.015276
[193/5000][455/535][19640] Loss_D: -0.038195 Loss_G: 0.035245 Loss_D_real: -0.031424 Loss_D_fake 0.006771
[193/5000][460/535][19641] Loss_D: -0.037696 Loss_G: 0.032817 Loss_D_real: -0.029653 Loss_D_fake 0.008043
[193/5000][465/535][19642] Loss_D: -0.039087 Loss_G: 0.035229 Loss_D_real: -0.038219 Loss_D_fake 0.000868
[193/5000][470/535][19643] Loss_D: -0.040046 Loss_G: 0.027174 Loss_D_real: -0.027703 Loss_D_fake 0.012343
[193/5000][475/535][19644] Loss_D: -0.038164 Loss_G: 0.020417 Loss_D_real: -0.018268 Loss_D_fake 0.019896
[193/5000][480/535][19645] Loss_D: -0.037273 Loss_G: 0.001596 Loss_D_real: -0.009914 Loss_D_fake 0.027359
[193/5000][485/535][19646] Loss_D: -0.036394 Loss_G: 0.046973 Loss_D_real: -0.041408 Loss_D_fake -0.005014
[193/5000][490/535][19647] Loss_D: -0.036822 Loss_G: 0.004422 Loss_D_real: -0.009439 Loss_D_fake 0.027382
[193/5000][495/535][19648] Loss_D: -0.036922 Loss_G: -0.002870 Loss_D_real: -0.005618 Loss_D_fake 0.031304
[193/5000][500/535][19649] Loss_D: -0.037143 Loss_G: 0.020071 Loss_D_real: -0.023392 Loss_D_fake 0.013750
[193/5000][505/535][19650] Loss_D: -0.037387 Loss_G: 0.028238 Loss_D_real: -0.034753 Loss_D_fake 0.002635
[193/5000][510/535][19651] Loss_D: -0.039716 Loss_G: 0.020956 Loss_D_real: -0.023416 Loss_D_fake 0.016299
[193/5000][515/535][19652] Loss_D: -0.037430 Loss_G: 0.040708 Loss_D_real: -0.038975 Loss_D_fake -0.001545
[193/5000][520/535][19653] Loss_D: -0.036913 Loss_G: -0.002638 Loss_D_real: -0.007150 Loss_D_fake 0.029763
[193/5000][525/535][19654] Loss_D: -0.038359 Loss_G: 0.016221 Loss_D_real: -0.019818 Loss_D_fake 0.018541
[193/5000][530/535][19655] Loss_D: -0.036994 Loss_G: 0.032071 Loss_D_real: -0.028930 Loss_D_fake 0.008064
[193/5000][535/535][19656] Loss_D: -0.040440 Loss_G: 0.051530 Loss_D_real: -0.020750 Loss_D_fake 0.019690
[194/5000][5/535][19657] Loss_D: -0.035571 Loss_G: 0.000185 Loss_D_real: -0.011917 Loss_D_fake 0.023654
[194/5000][10/535][19658] Loss_D: -0.037642 Loss_G: 0.012030 Loss_D_real: -0.025546 Loss_D_fake 0.012097
[194/5000][15/535][19659] Loss_D: -0.035838 Loss_G: 0.042609 Loss_D_real: -0.034130 Loss_D_fake 0.001708
[194/5000][20/535][19660] Loss_D: -0.038084 Loss_G: 0.015247 Loss_D_real: -0.020962 Loss_D_fake 0.017122
[194/5000][25/535][19661] Loss_D: -0.036253 Loss_G: 0.012234 Loss_D_real: -0.020561 Loss_D_fake 0.015692
[194/5000][30/535][19662] Loss_D: -0.036741 Loss_G: 0.039625 Loss_D_real: -0.031768 Loss_D_fake 0.004973
[194/5000][35/535][19663] Loss_D: -0.037752 Loss_G: -0.002843 Loss_D_real: -0.000151 Loss_D_fake 0.037601
[194/5000][40/535][19664] Loss_D: -0.038398 Loss_G: 0.028138 Loss_D_real: -0.032502 Loss_D_fake 0.005896
[194/5000][45/535][19665] Loss_D: -0.038055 Loss_G: 0.010472 Loss_D_real: -0.008112 Loss_D_fake 0.029942
[194/5000][50/535][19666] Loss_D: -0.037740 Loss_G: 0.038358 Loss_D_real: -0.034929 Loss_D_fake 0.002811
[194/5000][55/535][19667] Loss_D: -0.036069 Loss_G: -0.010432 Loss_D_real: 0.003414 Loss_D_fake 0.039483
[194/5000][60/535][19668] Loss_D: -0.036224 Loss_G: 0.030713 Loss_D_real: -0.032321 Loss_D_fake 0.003903
[194/5000][65/535][19669] Loss_D: -0.037213 Loss_G: 0.015919 Loss_D_real: -0.021134 Loss_D_fake 0.016079
[194/5000][70/535][19670] Loss_D: -0.037569 Loss_G: 0.014240 Loss_D_real: -0.024770 Loss_D_fake 0.012799
[194/5000][75/535][19671] Loss_D: -0.037259 Loss_G: 0.017096 Loss_D_real: -0.015350 Loss_D_fake 0.021909
[194/5000][80/535][19672] Loss_D: -0.037281 Loss_G: 0.010301 Loss_D_real: -0.015314 Loss_D_fake 0.021967
[194/5000][85/535][19673] Loss_D: -0.037824 Loss_G: 0.033195 Loss_D_real: -0.033793 Loss_D_fake 0.004031
[194/5000][90/535][19674] Loss_D: -0.039570 Loss_G: 0.024400 Loss_D_real: -0.021603 Loss_D_fake 0.017968
[194/5000][95/535][19675] Loss_D: -0.037495 Loss_G: 0.031675 Loss_D_real: -0.035420 Loss_D_fake 0.002075
[194/5000][100/535][19676] Loss_D: -0.037282 Loss_G: -0.003876 Loss_D_real: -0.005318 Loss_D_fake 0.031964
[194/5000][105/535][19677] Loss_D: -0.038901 Loss_G: 0.013643 Loss_D_real: -0.016917 Loss_D_fake 0.021984
[194/5000][110/535][19678] Loss_D: -0.037910 Loss_G: 0.015878 Loss_D_real: -0.022354 Loss_D_fake 0.015556
[194/5000][115/535][19679] Loss_D: -0.037941 Loss_G: 0.036400 Loss_D_real: -0.034107 Loss_D_fake 0.003834
[194/5000][120/535][19680] Loss_D: -0.038851 Loss_G: -0.001339 Loss_D_real: -0.006613 Loss_D_fake 0.032238
[194/5000][125/535][19681] Loss_D: -0.034525 Loss_G: 0.043287 Loss_D_real: -0.042967 Loss_D_fake -0.008443
[194/5000][130/535][19682] Loss_D: -0.037944 Loss_G: 0.005107 Loss_D_real: -0.013072 Loss_D_fake 0.024872
[194/5000][135/535][19683] Loss_D: -0.036652 Loss_G: 0.030274 Loss_D_real: -0.029576 Loss_D_fake 0.007076
[194/5000][140/535][19684] Loss_D: -0.038472 Loss_G: 0.023919 Loss_D_real: -0.025874 Loss_D_fake 0.012599
[194/5000][145/535][19685] Loss_D: -0.037394 Loss_G: 0.034203 Loss_D_real: -0.030505 Loss_D_fake 0.006888
[194/5000][150/535][19686] Loss_D: -0.037116 Loss_G: 0.000445 Loss_D_real: -0.009275 Loss_D_fake 0.027842
[194/5000][155/535][19687] Loss_D: -0.036326 Loss_G: 0.017802 Loss_D_real: -0.032117 Loss_D_fake 0.004209
[194/5000][160/535][19688] Loss_D: -0.036299 Loss_G: 0.010955 Loss_D_real: -0.012905 Loss_D_fake 0.023394
[194/5000][165/535][19689] Loss_D: -0.036533 Loss_G: 0.037997 Loss_D_real: -0.038023 Loss_D_fake -0.001490
[194/5000][170/535][19690] Loss_D: -0.037483 Loss_G: 0.010549 Loss_D_real: -0.017215 Loss_D_fake 0.020267
[194/5000][175/535][19691] Loss_D: -0.036324 Loss_G: 0.013873 Loss_D_real: -0.019011 Loss_D_fake 0.017313
[194/5000][180/535][19692] Loss_D: -0.038073 Loss_G: 0.035740 Loss_D_real: -0.035513 Loss_D_fake 0.002561
[194/5000][185/535][19693] Loss_D: -0.038635 Loss_G: 0.021135 Loss_D_real: -0.029681 Loss_D_fake 0.008954
[194/5000][190/535][19694] Loss_D: -0.037882 Loss_G: 0.028984 Loss_D_real: -0.029314 Loss_D_fake 0.008568
[194/5000][195/535][19695] Loss_D: -0.038204 Loss_G: 0.016761 Loss_D_real: -0.024638 Loss_D_fake 0.013566
[194/5000][200/535][19696] Loss_D: -0.036996 Loss_G: 0.014797 Loss_D_real: -0.015929 Loss_D_fake 0.021067
[194/5000][205/535][19697] Loss_D: -0.035369 Loss_G: 0.000282 Loss_D_real: -0.002955 Loss_D_fake 0.032413
[194/5000][210/535][19698] Loss_D: -0.036439 Loss_G: 0.004279 Loss_D_real: -0.008887 Loss_D_fake 0.027552
[194/5000][215/535][19699] Loss_D: -0.035969 Loss_G: -0.000981 Loss_D_real: -0.009293 Loss_D_fake 0.026676
[194/5000][220/535][19700] Loss_D: -0.037123 Loss_G: 0.028066 Loss_D_real: -0.030149 Loss_D_fake 0.006974
[194/5000][225/535][19701] Loss_D: -0.039237 Loss_G: 0.014090 Loss_D_real: -0.016900 Loss_D_fake 0.022336
[194/5000][230/535][19702] Loss_D: -0.038572 Loss_G: 0.018548 Loss_D_real: -0.020042 Loss_D_fake 0.018530
[194/5000][235/535][19703] Loss_D: -0.038128 Loss_G: 0.022763 Loss_D_real: -0.020244 Loss_D_fake 0.017884
[194/5000][240/535][19704] Loss_D: -0.036948 Loss_G: 0.045113 Loss_D_real: -0.041563 Loss_D_fake -0.004615
[194/5000][245/535][19705] Loss_D: -0.037212 Loss_G: -0.005576 Loss_D_real: -0.000068 Loss_D_fake 0.037145
[194/5000][250/535][19706] Loss_D: -0.036912 Loss_G: 0.020899 Loss_D_real: -0.020488 Loss_D_fake 0.016424
[194/5000][255/535][19707] Loss_D: -0.037180 Loss_G: 0.039975 Loss_D_real: -0.040546 Loss_D_fake -0.003366
[194/5000][260/535][19708] Loss_D: -0.038652 Loss_G: 0.021575 Loss_D_real: -0.022043 Loss_D_fake 0.016609
[194/5000][265/535][19709] Loss_D: -0.037546 Loss_G: -0.010581 Loss_D_real: -0.008546 Loss_D_fake 0.029000
[194/5000][270/535][19710] Loss_D: -0.035421 Loss_G: 0.034954 Loss_D_real: -0.036691 Loss_D_fake -0.001270
[194/5000][275/535][19711] Loss_D: -0.036680 Loss_G: 0.017405 Loss_D_real: -0.016965 Loss_D_fake 0.019715
[194/5000][280/535][19712] Loss_D: -0.037939 Loss_G: 0.040982 Loss_D_real: -0.032184 Loss_D_fake 0.005755
[194/5000][285/535][19713] Loss_D: -0.036292 Loss_G: -0.007469 Loss_D_real: 0.002850 Loss_D_fake 0.039142
[194/5000][290/535][19714] Loss_D: -0.036670 Loss_G: 0.036660 Loss_D_real: -0.039044 Loss_D_fake -0.002373
[194/5000][295/535][19715] Loss_D: -0.038330 Loss_G: 0.028172 Loss_D_real: -0.025634 Loss_D_fake 0.012695
[194/5000][300/535][19716] Loss_D: -0.038785 Loss_G: 0.007454 Loss_D_real: -0.008178 Loss_D_fake 0.030608
[194/5000][305/535][19717] Loss_D: -0.037318 Loss_G: 0.011038 Loss_D_real: -0.019290 Loss_D_fake 0.018028
[194/5000][310/535][19718] Loss_D: -0.038058 Loss_G: 0.026623 Loss_D_real: -0.026878 Loss_D_fake 0.011180
[194/5000][315/535][19719] Loss_D: -0.038710 Loss_G: 0.021319 Loss_D_real: -0.026289 Loss_D_fake 0.012420
[194/5000][320/535][19720] Loss_D: -0.037842 Loss_G: 0.017548 Loss_D_real: -0.025132 Loss_D_fake 0.012709
[194/5000][325/535][19721] Loss_D: -0.037585 Loss_G: 0.025504 Loss_D_real: -0.028714 Loss_D_fake 0.008871
[194/5000][330/535][19722] Loss_D: -0.038595 Loss_G: -0.000503 Loss_D_real: -0.009052 Loss_D_fake 0.029543
[194/5000][335/535][19723] Loss_D: -0.037522 Loss_G: 0.026225 Loss_D_real: -0.028657 Loss_D_fake 0.008865
[194/5000][340/535][19724] Loss_D: -0.033253 Loss_G: 0.041794 Loss_D_real: -0.043616 Loss_D_fake -0.010363
[194/5000][345/535][19725] Loss_D: -0.036745 Loss_G: -0.010131 Loss_D_real: -0.001468 Loss_D_fake 0.035277
[194/5000][350/535][19726] Loss_D: -0.036061 Loss_G: 0.028289 Loss_D_real: -0.029082 Loss_D_fake 0.006978
[194/5000][355/535][19727] Loss_D: -0.038150 Loss_G: 0.011000 Loss_D_real: -0.017815 Loss_D_fake 0.020335
[194/5000][360/535][19728] Loss_D: -0.037837 Loss_G: 0.034127 Loss_D_real: -0.030480 Loss_D_fake 0.007358
[194/5000][365/535][19729] Loss_D: -0.036566 Loss_G: 0.002829 Loss_D_real: -0.010191 Loss_D_fake 0.026375
[194/5000][370/535][19730] Loss_D: -0.037346 Loss_G: 0.006322 Loss_D_real: -0.011141 Loss_D_fake 0.026206
[194/5000][375/535][19731] Loss_D: -0.036433 Loss_G: 0.042025 Loss_D_real: -0.035211 Loss_D_fake 0.001222
[194/5000][380/535][19732] Loss_D: -0.038251 Loss_G: 0.024114 Loss_D_real: -0.024396 Loss_D_fake 0.013854
[194/5000][385/535][19733] Loss_D: -0.035431 Loss_G: 0.005726 Loss_D_real: -0.013210 Loss_D_fake 0.022221
[194/5000][390/535][19734] Loss_D: -0.036897 Loss_G: 0.019483 Loss_D_real: -0.022728 Loss_D_fake 0.014169
[194/5000][395/535][19735] Loss_D: -0.037434 Loss_G: -0.000865 Loss_D_real: -0.000508 Loss_D_fake 0.036926
[194/5000][400/535][19736] Loss_D: -0.035501 Loss_G: 0.028882 Loss_D_real: -0.031954 Loss_D_fake 0.003548
[194/5000][405/535][19737] Loss_D: -0.036147 Loss_G: 0.006375 Loss_D_real: -0.011276 Loss_D_fake 0.024871
[194/5000][410/535][19738] Loss_D: -0.037793 Loss_G: 0.025735 Loss_D_real: -0.026587 Loss_D_fake 0.011206
[194/5000][415/535][19739] Loss_D: -0.037563 Loss_G: -0.008788 Loss_D_real: -0.009845 Loss_D_fake 0.027718
[194/5000][420/535][19740] Loss_D: -0.036415 Loss_G: 0.022717 Loss_D_real: -0.031059 Loss_D_fake 0.005356
[194/5000][425/535][19741] Loss_D: -0.037513 Loss_G: 0.003477 Loss_D_real: -0.012506 Loss_D_fake 0.025007
[194/5000][430/535][19742] Loss_D: -0.035981 Loss_G: 0.021707 Loss_D_real: -0.021485 Loss_D_fake 0.014495
[194/5000][435/535][19743] Loss_D: -0.036009 Loss_G: 0.018287 Loss_D_real: -0.019579 Loss_D_fake 0.016430
[194/5000][440/535][19744] Loss_D: -0.037496 Loss_G: 0.008740 Loss_D_real: -0.015900 Loss_D_fake 0.021596
[194/5000][445/535][19745] Loss_D: -0.036301 Loss_G: 0.039803 Loss_D_real: -0.034220 Loss_D_fake 0.002080
[194/5000][450/535][19746] Loss_D: -0.036793 Loss_G: 0.040212 Loss_D_real: -0.039230 Loss_D_fake -0.002438
[194/5000][455/535][19747] Loss_D: -0.037493 Loss_G: -0.001242 Loss_D_real: -0.012238 Loss_D_fake 0.025255
[194/5000][460/535][19748] Loss_D: -0.037539 Loss_G: 0.031559 Loss_D_real: -0.023997 Loss_D_fake 0.013542
[194/5000][465/535][19749] Loss_D: -0.036891 Loss_G: 0.017554 Loss_D_real: -0.021462 Loss_D_fake 0.015430
[194/5000][470/535][19750] Loss_D: -0.035873 Loss_G: 0.021715 Loss_D_real: -0.027268 Loss_D_fake 0.008604
[194/5000][475/535][19751] Loss_D: -0.038461 Loss_G: 0.016836 Loss_D_real: -0.017548 Loss_D_fake 0.020912
[194/5000][480/535][19752] Loss_D: -0.036498 Loss_G: -0.001730 Loss_D_real: -0.007943 Loss_D_fake 0.028555
[194/5000][485/535][19753] Loss_D: -0.034839 Loss_G: 0.041753 Loss_D_real: -0.041059 Loss_D_fake -0.006220
[194/5000][490/535][19754] Loss_D: -0.037925 Loss_G: 0.017641 Loss_D_real: -0.024513 Loss_D_fake 0.013412
[194/5000][495/535][19755] Loss_D: -0.036128 Loss_G: 0.039939 Loss_D_real: -0.033738 Loss_D_fake 0.002390
[194/5000][500/535][19756] Loss_D: -0.036222 Loss_G: 0.044078 Loss_D_real: -0.047445 Loss_D_fake -0.011223
[194/5000][505/535][19757] Loss_D: -0.036816 Loss_G: -0.020021 Loss_D_real: -0.002519 Loss_D_fake 0.034297
[194/5000][510/535][19758] Loss_D: -0.036469 Loss_G: 0.015040 Loss_D_real: -0.024405 Loss_D_fake 0.012064
[194/5000][515/535][19759] Loss_D: -0.035462 Loss_G: 0.035969 Loss_D_real: -0.034815 Loss_D_fake 0.000647
[194/5000][520/535][19760] Loss_D: -0.037445 Loss_G: 0.005155 Loss_D_real: -0.006602 Loss_D_fake 0.030843
[194/5000][525/535][19761] Loss_D: -0.037408 Loss_G: 0.031211 Loss_D_real: -0.031609 Loss_D_fake 0.005799
[194/5000][530/535][19762] Loss_D: -0.038157 Loss_G: 0.004679 Loss_D_real: -0.013358 Loss_D_fake 0.024799
[194/5000][535/535][19763] Loss_D: -0.032621 Loss_G: -0.011424 Loss_D_real: -0.012755 Loss_D_fake 0.019866
[195/5000][5/535][19764] Loss_D: -0.034838 Loss_G: -0.001003 Loss_D_real: -0.008165 Loss_D_fake 0.026673
[195/5000][10/535][19765] Loss_D: -0.037972 Loss_G: 0.006998 Loss_D_real: -0.018321 Loss_D_fake 0.019651
[195/5000][15/535][19766] Loss_D: -0.036774 Loss_G: 0.024689 Loss_D_real: -0.030993 Loss_D_fake 0.005782
[195/5000][20/535][19767] Loss_D: -0.038478 Loss_G: 0.022295 Loss_D_real: -0.029870 Loss_D_fake 0.008608
[195/5000][25/535][19768] Loss_D: -0.035625 Loss_G: 0.051825 Loss_D_real: -0.043441 Loss_D_fake -0.007817
[195/5000][30/535][19769] Loss_D: -0.037327 Loss_G: -0.002255 Loss_D_real: -0.010415 Loss_D_fake 0.026912
[195/5000][35/535][19770] Loss_D: -0.037187 Loss_G: 0.010191 Loss_D_real: -0.018176 Loss_D_fake 0.019011
[195/5000][40/535][19771] Loss_D: -0.038888 Loss_G: 0.026598 Loss_D_real: -0.029472 Loss_D_fake 0.009416
[195/5000][45/535][19772] Loss_D: -0.037571 Loss_G: 0.008457 Loss_D_real: -0.008137 Loss_D_fake 0.029433
[195/5000][50/535][19773] Loss_D: -0.036117 Loss_G: 0.041139 Loss_D_real: -0.038510 Loss_D_fake -0.002394
[195/5000][55/535][19774] Loss_D: -0.039317 Loss_G: 0.018191 Loss_D_real: -0.023958 Loss_D_fake 0.015359
[195/5000][60/535][19775] Loss_D: -0.037198 Loss_G: 0.023536 Loss_D_real: -0.028279 Loss_D_fake 0.008919
[195/5000][65/535][19776] Loss_D: -0.039538 Loss_G: 0.025006 Loss_D_real: -0.025766 Loss_D_fake 0.013773
[195/5000][70/535][19777] Loss_D: -0.038131 Loss_G: 0.014597 Loss_D_real: -0.023310 Loss_D_fake 0.014822
[195/5000][75/535][19778] Loss_D: -0.039183 Loss_G: 0.013751 Loss_D_real: -0.023097 Loss_D_fake 0.016085
[195/5000][80/535][19779] Loss_D: -0.037966 Loss_G: 0.007037 Loss_D_real: -0.016337 Loss_D_fake 0.021629
[195/5000][85/535][19780] Loss_D: -0.038951 Loss_G: 0.026145 Loss_D_real: -0.027185 Loss_D_fake 0.011767
[195/5000][90/535][19781] Loss_D: -0.037168 Loss_G: 0.045070 Loss_D_real: -0.034731 Loss_D_fake 0.002438
[195/5000][95/535][19782] Loss_D: -0.036868 Loss_G: -0.001612 Loss_D_real: -0.008317 Loss_D_fake 0.028551
[195/5000][100/535][19783] Loss_D: -0.035941 Loss_G: 0.026745 Loss_D_real: -0.037600 Loss_D_fake -0.001659
[195/5000][105/535][19784] Loss_D: -0.036352 Loss_G: 0.011057 Loss_D_real: -0.015523 Loss_D_fake 0.020828
[195/5000][110/535][19785] Loss_D: -0.035591 Loss_G: 0.029146 Loss_D_real: -0.030277 Loss_D_fake 0.005314
[195/5000][115/535][19786] Loss_D: -0.036521 Loss_G: 0.010689 Loss_D_real: -0.015105 Loss_D_fake 0.021416
[195/5000][120/535][19787] Loss_D: -0.039450 Loss_G: 0.031436 Loss_D_real: -0.030188 Loss_D_fake 0.009262
[195/5000][125/535][19788] Loss_D: -0.037988 Loss_G: 0.009255 Loss_D_real: -0.017707 Loss_D_fake 0.020280
[195/5000][130/535][19789] Loss_D: -0.036836 Loss_G: 0.036968 Loss_D_real: -0.035171 Loss_D_fake 0.001665
[195/5000][135/535][19790] Loss_D: -0.036568 Loss_G: 0.002176 Loss_D_real: -0.013272 Loss_D_fake 0.023296
[195/5000][140/535][19791] Loss_D: -0.037422 Loss_G: 0.018525 Loss_D_real: -0.026952 Loss_D_fake 0.010470
[195/5000][145/535][19792] Loss_D: -0.038526 Loss_G: 0.017353 Loss_D_real: -0.023697 Loss_D_fake 0.014829
[195/5000][150/535][19793] Loss_D: -0.036831 Loss_G: -0.005429 Loss_D_real: -0.007167 Loss_D_fake 0.029664
[195/5000][155/535][19794] Loss_D: -0.037631 Loss_G: 0.023205 Loss_D_real: -0.029515 Loss_D_fake 0.008116
[195/5000][160/535][19795] Loss_D: -0.036405 Loss_G: 0.019533 Loss_D_real: -0.028279 Loss_D_fake 0.008126
[195/5000][165/535][19796] Loss_D: -0.038326 Loss_G: 0.025052 Loss_D_real: -0.034564 Loss_D_fake 0.003762
[195/5000][170/535][19797] Loss_D: -0.039738 Loss_G: 0.012223 Loss_D_real: -0.026579 Loss_D_fake 0.013159
[195/5000][175/535][19798] Loss_D: -0.038385 Loss_G: 0.014522 Loss_D_real: -0.023555 Loss_D_fake 0.014830
[195/5000][180/535][19799] Loss_D: -0.036062 Loss_G: 0.050124 Loss_D_real: -0.043593 Loss_D_fake -0.007531
[195/5000][185/535][19800] Loss_D: -0.036622 Loss_G: -0.005048 Loss_D_real: -0.006901 Loss_D_fake 0.029720
[195/5000][190/535][19801] Loss_D: -0.037847 Loss_G: -0.002862 Loss_D_real: -0.020121 Loss_D_fake 0.017725
[195/5000][195/535][19802] Loss_D: -0.036680 Loss_G: 0.031781 Loss_D_real: -0.030872 Loss_D_fake 0.005808
[195/5000][200/535][19803] Loss_D: -0.036876 Loss_G: 0.030417 Loss_D_real: -0.030439 Loss_D_fake 0.006437
[195/5000][205/535][19804] Loss_D: -0.036716 Loss_G: -0.007094 Loss_D_real: -0.004662 Loss_D_fake 0.032054
[195/5000][210/535][19805] Loss_D: -0.037482 Loss_G: 0.038858 Loss_D_real: -0.038936 Loss_D_fake -0.001455
[195/5000][215/535][19806] Loss_D: -0.036891 Loss_G: 0.021333 Loss_D_real: -0.018925 Loss_D_fake 0.017965
[195/5000][220/535][19807] Loss_D: -0.038448 Loss_G: 0.015293 Loss_D_real: -0.021831 Loss_D_fake 0.016617
[195/5000][225/535][19808] Loss_D: -0.037081 Loss_G: 0.008803 Loss_D_real: -0.010398 Loss_D_fake 0.026683
[195/5000][230/535][19809] Loss_D: -0.038313 Loss_G: 0.029588 Loss_D_real: -0.036072 Loss_D_fake 0.002241
[195/5000][235/535][19810] Loss_D: -0.038363 Loss_G: 0.019469 Loss_D_real: -0.021231 Loss_D_fake 0.017132
[195/5000][240/535][19811] Loss_D: -0.037213 Loss_G: 0.043948 Loss_D_real: -0.045487 Loss_D_fake -0.008274
[195/5000][245/535][19812] Loss_D: -0.036776 Loss_G: -0.015700 Loss_D_real: 0.002678 Loss_D_fake 0.039454
[195/5000][250/535][19813] Loss_D: -0.034923 Loss_G: 0.037985 Loss_D_real: -0.031453 Loss_D_fake 0.003470
[195/5000][255/535][19814] Loss_D: -0.036500 Loss_G: 0.014980 Loss_D_real: -0.008238 Loss_D_fake 0.028263
[195/5000][260/535][19815] Loss_D: -0.036806 Loss_G: 0.004440 Loss_D_real: -0.015969 Loss_D_fake 0.020837
[195/5000][265/535][19816] Loss_D: -0.035864 Loss_G: 0.030473 Loss_D_real: -0.032422 Loss_D_fake 0.003442
[195/5000][270/535][19817] Loss_D: -0.037545 Loss_G: 0.007332 Loss_D_real: -0.014690 Loss_D_fake 0.022855
[195/5000][275/535][19818] Loss_D: -0.034876 Loss_G: 0.022138 Loss_D_real: -0.031616 Loss_D_fake 0.003260
[195/5000][280/535][19819] Loss_D: -0.037580 Loss_G: 0.018374 Loss_D_real: -0.027473 Loss_D_fake 0.010107
[195/5000][285/535][19820] Loss_D: -0.037434 Loss_G: 0.018269 Loss_D_real: -0.030199 Loss_D_fake 0.007234
[195/5000][290/535][19821] Loss_D: -0.037517 Loss_G: 0.029149 Loss_D_real: -0.028881 Loss_D_fake 0.008636
[195/5000][295/535][19822] Loss_D: -0.036519 Loss_G: 0.013498 Loss_D_real: -0.019199 Loss_D_fake 0.017320
[195/5000][300/535][19823] Loss_D: -0.035499 Loss_G: 0.034427 Loss_D_real: -0.040119 Loss_D_fake -0.004620
[195/5000][305/535][19824] Loss_D: -0.038718 Loss_G: 0.018428 Loss_D_real: -0.021228 Loss_D_fake 0.017490
[195/5000][310/535][19825] Loss_D: -0.038247 Loss_G: 0.014100 Loss_D_real: -0.020862 Loss_D_fake 0.017385
[195/5000][315/535][19826] Loss_D: -0.037819 Loss_G: 0.029424 Loss_D_real: -0.039198 Loss_D_fake -0.001380
[195/5000][320/535][19827] Loss_D: -0.036781 Loss_G: -0.006067 Loss_D_real: -0.005717 Loss_D_fake 0.031064
[195/5000][325/535][19828] Loss_D: -0.036311 Loss_G: 0.026605 Loss_D_real: -0.032338 Loss_D_fake 0.003973
[195/5000][330/535][19829] Loss_D: -0.037199 Loss_G: -0.002253 Loss_D_real: -0.015066 Loss_D_fake 0.022133
[195/5000][335/535][19830] Loss_D: -0.035929 Loss_G: 0.021377 Loss_D_real: -0.028398 Loss_D_fake 0.007531
[195/5000][340/535][19831] Loss_D: -0.037461 Loss_G: 0.006407 Loss_D_real: -0.012174 Loss_D_fake 0.025287
[195/5000][345/535][19832] Loss_D: -0.038187 Loss_G: 0.032504 Loss_D_real: -0.038740 Loss_D_fake -0.000553
[195/5000][350/535][19833] Loss_D: -0.038952 Loss_G: 0.013130 Loss_D_real: -0.020662 Loss_D_fake 0.018290
[195/5000][355/535][19834] Loss_D: -0.035793 Loss_G: 0.030838 Loss_D_real: -0.037317 Loss_D_fake -0.001524
[195/5000][360/535][19835] Loss_D: -0.038024 Loss_G: 0.027088 Loss_D_real: -0.033349 Loss_D_fake 0.004675
[195/5000][365/535][19836] Loss_D: -0.036418 Loss_G: 0.013330 Loss_D_real: -0.020234 Loss_D_fake 0.016184
[195/5000][370/535][19837] Loss_D: -0.036799 Loss_G: 0.024080 Loss_D_real: -0.027549 Loss_D_fake 0.009250
[195/5000][375/535][19838] Loss_D: -0.036742 Loss_G: 0.024401 Loss_D_real: -0.027970 Loss_D_fake 0.008772
[195/5000][380/535][19839] Loss_D: -0.038900 Loss_G: 0.031578 Loss_D_real: -0.026573 Loss_D_fake 0.012326
[195/5000][385/535][19840] Loss_D: -0.038241 Loss_G: 0.012268 Loss_D_real: -0.019574 Loss_D_fake 0.018668
[195/5000][390/535][19841] Loss_D: -0.039445 Loss_G: 0.017768 Loss_D_real: -0.026516 Loss_D_fake 0.012928
[195/5000][395/535][19842] Loss_D: -0.039278 Loss_G: 0.038647 Loss_D_real: -0.036194 Loss_D_fake 0.003084
[195/5000][400/535][19843] Loss_D: -0.037863 Loss_G: 0.005766 Loss_D_real: -0.015663 Loss_D_fake 0.022200
[195/5000][405/535][19844] Loss_D: -0.036940 Loss_G: 0.014103 Loss_D_real: -0.025256 Loss_D_fake 0.011684
[195/5000][410/535][19845] Loss_D: -0.038342 Loss_G: 0.004481 Loss_D_real: -0.009682 Loss_D_fake 0.028660
[195/5000][415/535][19846] Loss_D: -0.036950 Loss_G: 0.043109 Loss_D_real: -0.041491 Loss_D_fake -0.004541
[195/5000][420/535][19847] Loss_D: -0.036123 Loss_G: -0.011148 Loss_D_real: -0.003952 Loss_D_fake 0.032171
[195/5000][425/535][19848] Loss_D: -0.036661 Loss_G: 0.021996 Loss_D_real: -0.022246 Loss_D_fake 0.014415
[195/5000][430/535][19849] Loss_D: -0.038082 Loss_G: 0.015940 Loss_D_real: -0.021707 Loss_D_fake 0.016375
[195/5000][435/535][19850] Loss_D: -0.037450 Loss_G: 0.033022 Loss_D_real: -0.036222 Loss_D_fake 0.001227
[195/5000][440/535][19851] Loss_D: -0.038827 Loss_G: 0.003159 Loss_D_real: -0.020526 Loss_D_fake 0.018301
[195/5000][445/535][19852] Loss_D: -0.037007 Loss_G: 0.023569 Loss_D_real: -0.030871 Loss_D_fake 0.006135
[195/5000][450/535][19853] Loss_D: -0.036614 Loss_G: 0.042984 Loss_D_real: -0.036242 Loss_D_fake 0.000372
[195/5000][455/535][19854] Loss_D: -0.038790 Loss_G: 0.013926 Loss_D_real: -0.022737 Loss_D_fake 0.016054
[195/5000][460/535][19855] Loss_D: -0.034698 Loss_G: 0.043691 Loss_D_real: -0.044050 Loss_D_fake -0.009352
[195/5000][465/535][19856] Loss_D: -0.038344 Loss_G: -0.003861 Loss_D_real: -0.006194 Loss_D_fake 0.032149
[195/5000][470/535][19857] Loss_D: -0.035748 Loss_G: 0.038912 Loss_D_real: -0.032145 Loss_D_fake 0.003603
[195/5000][475/535][19858] Loss_D: -0.036593 Loss_G: 0.003448 Loss_D_real: -0.012664 Loss_D_fake 0.023929
[195/5000][480/535][19859] Loss_D: -0.035206 Loss_G: 0.007581 Loss_D_real: -0.022273 Loss_D_fake 0.012933
[195/5000][485/535][19860] Loss_D: -0.037913 Loss_G: 0.022577 Loss_D_real: -0.027815 Loss_D_fake 0.010099
[195/5000][490/535][19861] Loss_D: -0.035358 Loss_G: 0.002941 Loss_D_real: -0.006206 Loss_D_fake 0.029152
[195/5000][495/535][19862] Loss_D: -0.037476 Loss_G: 0.020741 Loss_D_real: -0.032793 Loss_D_fake 0.004683
[195/5000][500/535][19863] Loss_D: -0.038690 Loss_G: -0.005255 Loss_D_real: -0.016089 Loss_D_fake 0.022602
[195/5000][505/535][19864] Loss_D: -0.038443 Loss_G: 0.045461 Loss_D_real: -0.035363 Loss_D_fake 0.003080
[195/5000][510/535][19865] Loss_D: -0.038876 Loss_G: 0.008801 Loss_D_real: -0.016788 Loss_D_fake 0.022088
[195/5000][515/535][19866] Loss_D: -0.038600 Loss_G: 0.022443 Loss_D_real: -0.030845 Loss_D_fake 0.007755
[195/5000][520/535][19867] Loss_D: -0.036959 Loss_G: 0.018500 Loss_D_real: -0.026043 Loss_D_fake 0.010915
[195/5000][525/535][19868] Loss_D: -0.038353 Loss_G: 0.021032 Loss_D_real: -0.033396 Loss_D_fake 0.004957
[195/5000][530/535][19869] Loss_D: -0.036761 Loss_G: 0.016581 Loss_D_real: -0.023726 Loss_D_fake 0.013035
[195/5000][535/535][19870] Loss_D: -0.035411 Loss_G: 0.042579 Loss_D_real: -0.030193 Loss_D_fake 0.005218
[196/5000][5/535][19871] Loss_D: -0.036234 Loss_G: -0.004528 Loss_D_real: -0.000217 Loss_D_fake 0.036016
[196/5000][10/535][19872] Loss_D: -0.036808 Loss_G: 0.020646 Loss_D_real: -0.027517 Loss_D_fake 0.009292
[196/5000][15/535][19873] Loss_D: -0.039282 Loss_G: 0.007066 Loss_D_real: -0.021684 Loss_D_fake 0.017598
[196/5000][20/535][19874] Loss_D: -0.035549 Loss_G: 0.012486 Loss_D_real: -0.027371 Loss_D_fake 0.008178
[196/5000][25/535][19875] Loss_D: -0.038132 Loss_G: 0.023218 Loss_D_real: -0.028115 Loss_D_fake 0.010017
[196/5000][30/535][19876] Loss_D: -0.038938 Loss_G: 0.028412 Loss_D_real: -0.023072 Loss_D_fake 0.015866
[196/5000][35/535][19877] Loss_D: -0.038585 Loss_G: 0.037301 Loss_D_real: -0.030156 Loss_D_fake 0.008429
[196/5000][40/535][19878] Loss_D: -0.035461 Loss_G: -0.007879 Loss_D_real: -0.004076 Loss_D_fake 0.031385
[196/5000][45/535][19879] Loss_D: -0.037093 Loss_G: 0.022634 Loss_D_real: -0.031415 Loss_D_fake 0.005678
[196/5000][50/535][19880] Loss_D: -0.037342 Loss_G: 0.029164 Loss_D_real: -0.035784 Loss_D_fake 0.001558
[196/5000][55/535][19881] Loss_D: -0.037932 Loss_G: 0.003984 Loss_D_real: -0.009614 Loss_D_fake 0.028318
[196/5000][60/535][19882] Loss_D: -0.036448 Loss_G: 0.030901 Loss_D_real: -0.038591 Loss_D_fake -0.002143
[196/5000][65/535][19883] Loss_D: -0.035492 Loss_G: 0.029743 Loss_D_real: -0.029504 Loss_D_fake 0.005988
[196/5000][70/535][19884] Loss_D: -0.038639 Loss_G: -0.011380 Loss_D_real: -0.009130 Loss_D_fake 0.029509
[196/5000][75/535][19885] Loss_D: -0.036015 Loss_G: 0.026882 Loss_D_real: -0.033596 Loss_D_fake 0.002418
[196/5000][80/535][19886] Loss_D: -0.035345 Loss_G: -0.004695 Loss_D_real: -0.005655 Loss_D_fake 0.029690
[196/5000][85/535][19887] Loss_D: -0.038115 Loss_G: 0.020764 Loss_D_real: -0.027061 Loss_D_fake 0.011054
[196/5000][90/535][19888] Loss_D: -0.036514 Loss_G: 0.015855 Loss_D_real: -0.020973 Loss_D_fake 0.015541
[196/5000][95/535][19889] Loss_D: -0.038371 Loss_G: 0.008444 Loss_D_real: -0.017863 Loss_D_fake 0.020508
[196/5000][100/535][19890] Loss_D: -0.038523 Loss_G: 0.020999 Loss_D_real: -0.025975 Loss_D_fake 0.012548
[196/5000][105/535][19891] Loss_D: -0.036990 Loss_G: 0.041909 Loss_D_real: -0.035792 Loss_D_fake 0.001198
[196/5000][110/535][19892] Loss_D: -0.037675 Loss_G: -0.001201 Loss_D_real: -0.011559 Loss_D_fake 0.026115
[196/5000][115/535][19893] Loss_D: -0.035406 Loss_G: 0.020559 Loss_D_real: -0.027692 Loss_D_fake 0.007714
[196/5000][120/535][19894] Loss_D: -0.037000 Loss_G: 0.007852 Loss_D_real: -0.014217 Loss_D_fake 0.022783
[196/5000][125/535][19895] Loss_D: -0.037016 Loss_G: 0.017613 Loss_D_real: -0.024710 Loss_D_fake 0.012306
[196/5000][130/535][19896] Loss_D: -0.036930 Loss_G: 0.019860 Loss_D_real: -0.023607 Loss_D_fake 0.013323
[196/5000][135/535][19897] Loss_D: -0.038101 Loss_G: 0.029988 Loss_D_real: -0.031177 Loss_D_fake 0.006924
[196/5000][140/535][19898] Loss_D: -0.037700 Loss_G: 0.026919 Loss_D_real: -0.032062 Loss_D_fake 0.005638
[196/5000][145/535][19899] Loss_D: -0.038633 Loss_G: 0.045417 Loss_D_real: -0.032793 Loss_D_fake 0.005840
[196/5000][150/535][19900] Loss_D: -0.037282 Loss_G: 0.019542 Loss_D_real: -0.027562 Loss_D_fake 0.009721
[196/5000][155/535][19901] Loss_D: -0.036675 Loss_G: 0.025194 Loss_D_real: -0.035061 Loss_D_fake 0.001613
[196/5000][160/535][19902] Loss_D: -0.037842 Loss_G: 0.014859 Loss_D_real: -0.022100 Loss_D_fake 0.015743
[196/5000][165/535][19903] Loss_D: -0.038288 Loss_G: 0.026887 Loss_D_real: -0.030526 Loss_D_fake 0.007762
[196/5000][170/535][19904] Loss_D: -0.037308 Loss_G: 0.010747 Loss_D_real: -0.017906 Loss_D_fake 0.019402
[196/5000][175/535][19905] Loss_D: -0.035119 Loss_G: 0.038097 Loss_D_real: -0.048493 Loss_D_fake -0.013374
[196/5000][180/535][19906] Loss_D: -0.038154 Loss_G: -0.007878 Loss_D_real: -0.022131 Loss_D_fake 0.016023
[196/5000][185/535][19907] Loss_D: -0.035820 Loss_G: 0.024565 Loss_D_real: -0.037351 Loss_D_fake -0.001531
[196/5000][190/535][19908] Loss_D: -0.039334 Loss_G: 0.002925 Loss_D_real: -0.016196 Loss_D_fake 0.023139
[196/5000][195/535][19909] Loss_D: -0.037381 Loss_G: 0.033431 Loss_D_real: -0.038549 Loss_D_fake -0.001168
[196/5000][200/535][19910] Loss_D: -0.038932 Loss_G: 0.022350 Loss_D_real: -0.029389 Loss_D_fake 0.009542
[196/5000][205/535][19911] Loss_D: -0.038721 Loss_G: 0.009613 Loss_D_real: -0.016334 Loss_D_fake 0.022387
[196/5000][210/535][19912] Loss_D: -0.038711 Loss_G: 0.014511 Loss_D_real: -0.024112 Loss_D_fake 0.014599
[196/5000][215/535][19913] Loss_D: -0.037726 Loss_G: 0.020287 Loss_D_real: -0.027629 Loss_D_fake 0.010097
[196/5000][220/535][19914] Loss_D: -0.037782 Loss_G: 0.030817 Loss_D_real: -0.034184 Loss_D_fake 0.003598
[196/5000][225/535][19915] Loss_D: -0.038049 Loss_G: 0.009198 Loss_D_real: -0.012356 Loss_D_fake 0.025693
[196/5000][230/535][19916] Loss_D: -0.037674 Loss_G: 0.043831 Loss_D_real: -0.036874 Loss_D_fake 0.000800
[196/5000][235/535][19917] Loss_D: -0.038312 Loss_G: 0.011993 Loss_D_real: -0.023156 Loss_D_fake 0.015156
[196/5000][240/535][19918] Loss_D: -0.037462 Loss_G: 0.025848 Loss_D_real: -0.019554 Loss_D_fake 0.017908
[196/5000][245/535][19919] Loss_D: -0.036501 Loss_G: -0.016211 Loss_D_real: -0.007402 Loss_D_fake 0.029099
[196/5000][250/535][19920] Loss_D: -0.036099 Loss_G: 0.031639 Loss_D_real: -0.037719 Loss_D_fake -0.001620
[196/5000][255/535][19921] Loss_D: -0.034830 Loss_G: 0.005204 Loss_D_real: -0.009837 Loss_D_fake 0.024993
[196/5000][260/535][19922] Loss_D: -0.037864 Loss_G: 0.016032 Loss_D_real: -0.022384 Loss_D_fake 0.015480
[196/5000][265/535][19923] Loss_D: -0.037548 Loss_G: 0.008482 Loss_D_real: -0.018788 Loss_D_fake 0.018760
[196/5000][270/535][19924] Loss_D: -0.037379 Loss_G: 0.035481 Loss_D_real: -0.034118 Loss_D_fake 0.003261
[196/5000][275/535][19925] Loss_D: -0.038343 Loss_G: 0.004528 Loss_D_real: -0.009586 Loss_D_fake 0.028757
[196/5000][280/535][19926] Loss_D: -0.036391 Loss_G: 0.028067 Loss_D_real: -0.033703 Loss_D_fake 0.002688
[196/5000][285/535][19927] Loss_D: -0.037780 Loss_G: 0.014698 Loss_D_real: -0.016247 Loss_D_fake 0.021533
[196/5000][290/535][19928] Loss_D: -0.037045 Loss_G: 0.001102 Loss_D_real: -0.013719 Loss_D_fake 0.023327
[196/5000][295/535][19929] Loss_D: -0.036642 Loss_G: 0.029110 Loss_D_real: -0.025599 Loss_D_fake 0.011044
[196/5000][300/535][19930] Loss_D: -0.037274 Loss_G: 0.020162 Loss_D_real: -0.024481 Loss_D_fake 0.012793
[196/5000][305/535][19931] Loss_D: -0.037187 Loss_G: 0.032211 Loss_D_real: -0.040293 Loss_D_fake -0.003106
[196/5000][310/535][19932] Loss_D: -0.037051 Loss_G: -0.002901 Loss_D_real: -0.004301 Loss_D_fake 0.032750
[196/5000][315/535][19933] Loss_D: -0.036709 Loss_G: 0.029442 Loss_D_real: -0.037477 Loss_D_fake -0.000768
[196/5000][320/535][19934] Loss_D: -0.035976 Loss_G: 0.041770 Loss_D_real: -0.035705 Loss_D_fake 0.000271
[196/5000][325/535][19935] Loss_D: -0.036711 Loss_G: -0.008579 Loss_D_real: -0.004326 Loss_D_fake 0.032385
[196/5000][330/535][19936] Loss_D: -0.038420 Loss_G: 0.020382 Loss_D_real: -0.026696 Loss_D_fake 0.011725
[196/5000][335/535][19937] Loss_D: -0.038774 Loss_G: 0.022375 Loss_D_real: -0.026091 Loss_D_fake 0.012683
[196/5000][340/535][19938] Loss_D: -0.038721 Loss_G: 0.014296 Loss_D_real: -0.019860 Loss_D_fake 0.018861
[196/5000][345/535][19939] Loss_D: -0.037255 Loss_G: 0.037441 Loss_D_real: -0.030087 Loss_D_fake 0.007167
[196/5000][350/535][19940] Loss_D: -0.037669 Loss_G: -0.006862 Loss_D_real: -0.001998 Loss_D_fake 0.035671
[196/5000][355/535][19941] Loss_D: -0.036548 Loss_G: 0.033835 Loss_D_real: -0.037598 Loss_D_fake -0.001049
[196/5000][360/535][19942] Loss_D: -0.038337 Loss_G: 0.030321 Loss_D_real: -0.031207 Loss_D_fake 0.007130
[196/5000][365/535][19943] Loss_D: -0.036981 Loss_G: 0.018516 Loss_D_real: -0.023349 Loss_D_fake 0.013632
[196/5000][370/535][19944] Loss_D: -0.038015 Loss_G: 0.029106 Loss_D_real: -0.033652 Loss_D_fake 0.004363
[196/5000][375/535][19945] Loss_D: -0.039818 Loss_G: 0.019156 Loss_D_real: -0.027124 Loss_D_fake 0.012693
[196/5000][380/535][19946] Loss_D: -0.039941 Loss_G: 0.025093 Loss_D_real: -0.029880 Loss_D_fake 0.010061
[196/5000][385/535][19947] Loss_D: -0.039090 Loss_G: 0.021515 Loss_D_real: -0.026622 Loss_D_fake 0.012468
[196/5000][390/535][19948] Loss_D: -0.036220 Loss_G: -0.011886 Loss_D_real: -0.003907 Loss_D_fake 0.032313
[196/5000][395/535][19949] Loss_D: -0.037099 Loss_G: 0.021664 Loss_D_real: -0.021315 Loss_D_fake 0.015785
[196/5000][400/535][19950] Loss_D: -0.037202 Loss_G: 0.004942 Loss_D_real: -0.020735 Loss_D_fake 0.016466
[196/5000][405/535][19951] Loss_D: -0.039374 Loss_G: 0.026434 Loss_D_real: -0.032380 Loss_D_fake 0.006995
[196/5000][410/535][19952] Loss_D: -0.036421 Loss_G: 0.005899 Loss_D_real: -0.011154 Loss_D_fake 0.025267
[196/5000][415/535][19953] Loss_D: -0.036785 Loss_G: -0.019687 Loss_D_real: -0.004278 Loss_D_fake 0.032507
[196/5000][420/535][19954] Loss_D: -0.033828 Loss_G: 0.037751 Loss_D_real: -0.040930 Loss_D_fake -0.007102
[196/5000][425/535][19955] Loss_D: -0.036069 Loss_G: 0.007790 Loss_D_real: -0.016729 Loss_D_fake 0.019340
[196/5000][430/535][19956] Loss_D: -0.036553 Loss_G: 0.022696 Loss_D_real: -0.027350 Loss_D_fake 0.009203
[196/5000][435/535][19957] Loss_D: -0.036046 Loss_G: 0.000428 Loss_D_real: -0.019830 Loss_D_fake 0.016215
[196/5000][440/535][19958] Loss_D: -0.037267 Loss_G: 0.022085 Loss_D_real: -0.020082 Loss_D_fake 0.017185
[196/5000][445/535][19959] Loss_D: -0.037634 Loss_G: 0.022642 Loss_D_real: -0.023212 Loss_D_fake 0.014422
[196/5000][450/535][19960] Loss_D: -0.039129 Loss_G: 0.018850 Loss_D_real: -0.020226 Loss_D_fake 0.018903
[196/5000][455/535][19961] Loss_D: -0.036558 Loss_G: 0.045268 Loss_D_real: -0.041185 Loss_D_fake -0.004626
[196/5000][460/535][19962] Loss_D: -0.036491 Loss_G: 0.013274 Loss_D_real: -0.025550 Loss_D_fake 0.010941
[196/5000][465/535][19963] Loss_D: -0.037897 Loss_G: 0.014172 Loss_D_real: -0.020414 Loss_D_fake 0.017483
[196/5000][470/535][19964] Loss_D: -0.036623 Loss_G: 0.021824 Loss_D_real: -0.029959 Loss_D_fake 0.006664
[196/5000][475/535][19965] Loss_D: -0.036946 Loss_G: 0.043233 Loss_D_real: -0.039489 Loss_D_fake -0.002543
[196/5000][480/535][19966] Loss_D: -0.036734 Loss_G: 0.008717 Loss_D_real: -0.019030 Loss_D_fake 0.017705
[196/5000][485/535][19967] Loss_D: -0.037530 Loss_G: 0.034281 Loss_D_real: -0.030796 Loss_D_fake 0.006734
[196/5000][490/535][19968] Loss_D: -0.037431 Loss_G: 0.034171 Loss_D_real: -0.031042 Loss_D_fake 0.006389
[196/5000][495/535][19969] Loss_D: -0.035378 Loss_G: -0.009156 Loss_D_real: 0.001263 Loss_D_fake 0.036641
[196/5000][500/535][19970] Loss_D: -0.033415 Loss_G: 0.037424 Loss_D_real: -0.036529 Loss_D_fake -0.003114
[196/5000][505/535][19971] Loss_D: -0.038099 Loss_G: 0.019572 Loss_D_real: -0.030016 Loss_D_fake 0.008084
[196/5000][510/535][19972] Loss_D: -0.037466 Loss_G: 0.032351 Loss_D_real: -0.030095 Loss_D_fake 0.007370
[196/5000][515/535][19973] Loss_D: -0.036702 Loss_G: -0.011007 Loss_D_real: -0.001146 Loss_D_fake 0.035556
[196/5000][520/535][19974] Loss_D: -0.034649 Loss_G: 0.032349 Loss_D_real: -0.042307 Loss_D_fake -0.007659
[196/5000][525/535][19975] Loss_D: -0.038186 Loss_G: 0.008826 Loss_D_real: -0.017743 Loss_D_fake 0.020443
[196/5000][530/535][19976] Loss_D: -0.037372 Loss_G: 0.030917 Loss_D_real: -0.023686 Loss_D_fake 0.013687
[196/5000][535/535][19977] Loss_D: -0.036349 Loss_G: 0.014659 Loss_D_real: -0.021157 Loss_D_fake 0.015192
[197/5000][5/535][19978] Loss_D: -0.038226 Loss_G: 0.028815 Loss_D_real: -0.033614 Loss_D_fake 0.004612
[197/5000][10/535][19979] Loss_D: -0.038485 Loss_G: 0.003502 Loss_D_real: -0.014454 Loss_D_fake 0.024031
[197/5000][15/535][19980] Loss_D: -0.038241 Loss_G: 0.031644 Loss_D_real: -0.035765 Loss_D_fake 0.002476
[197/5000][20/535][19981] Loss_D: -0.038357 Loss_G: -0.008466 Loss_D_real: -0.001411 Loss_D_fake 0.036946
[197/5000][25/535][19982] Loss_D: -0.037035 Loss_G: 0.025912 Loss_D_real: -0.037370 Loss_D_fake -0.000335
[197/5000][30/535][19983] Loss_D: -0.038168 Loss_G: 0.011745 Loss_D_real: -0.022692 Loss_D_fake 0.015476
[197/5000][35/535][19984] Loss_D: -0.038518 Loss_G: 0.017648 Loss_D_real: -0.028360 Loss_D_fake 0.010158
[197/5000][40/535][19985] Loss_D: -0.038864 Loss_G: 0.020842 Loss_D_real: -0.028616 Loss_D_fake 0.010248
[197/5000][45/535][19986] Loss_D: -0.037672 Loss_G: 0.035707 Loss_D_real: -0.030668 Loss_D_fake 0.007003
[197/5000][50/535][19987] Loss_D: -0.035595 Loss_G: -0.005057 Loss_D_real: -0.005463 Loss_D_fake 0.030132
[197/5000][55/535][19988] Loss_D: -0.036720 Loss_G: 0.025446 Loss_D_real: -0.027554 Loss_D_fake 0.009167
[197/5000][60/535][19989] Loss_D: -0.034415 Loss_G: 0.002759 Loss_D_real: -0.018550 Loss_D_fake 0.015865
[197/5000][65/535][19990] Loss_D: -0.036142 Loss_G: 0.029106 Loss_D_real: -0.043145 Loss_D_fake -0.007004
[197/5000][70/535][19991] Loss_D: -0.037152 Loss_G: 0.012179 Loss_D_real: -0.024595 Loss_D_fake 0.012557
[197/5000][75/535][19992] Loss_D: -0.038834 Loss_G: 0.022086 Loss_D_real: -0.027120 Loss_D_fake 0.011714
[197/5000][80/535][19993] Loss_D: -0.038537 Loss_G: 0.032131 Loss_D_real: -0.028608 Loss_D_fake 0.009929
[197/5000][85/535][19994] Loss_D: -0.037302 Loss_G: -0.003895 Loss_D_real: -0.011689 Loss_D_fake 0.025613
[197/5000][90/535][19995] Loss_D: -0.036756 Loss_G: 0.029701 Loss_D_real: -0.033911 Loss_D_fake 0.002845
[197/5000][95/535][19996] Loss_D: -0.036653 Loss_G: 0.014366 Loss_D_real: -0.016597 Loss_D_fake 0.020056
[197/5000][100/535][19997] Loss_D: -0.038777 Loss_G: 0.021445 Loss_D_real: -0.026967 Loss_D_fake 0.011811
[197/5000][105/535][19998] Loss_D: -0.038360 Loss_G: 0.027942 Loss_D_real: -0.031600 Loss_D_fake 0.006761
[197/5000][110/535][19999] Loss_D: -0.038124 Loss_G: 0.025860 Loss_D_real: -0.030286 Loss_D_fake 0.007838
[197/5000][115/535][20000] Loss_D: -0.038472 Loss_G: -0.001421 Loss_D_real: -0.010566 Loss_D_fake 0.027906
[197/5000][215/535][20001] Loss_D: -0.038940 Loss_G: 0.034971 Loss_D_real: -0.037980 Loss_D_fake 0.000960
[197/5000][220/535][20002] Loss_D: -0.038442 Loss_G: 0.031302 Loss_D_real: -0.036763 Loss_D_fake 0.001679
[197/5000][225/535][20003] Loss_D: -0.036867 Loss_G: 0.028623 Loss_D_real: -0.032018 Loss_D_fake 0.004849
[197/5000][230/535][20004] Loss_D: -0.038851 Loss_G: 0.017679 Loss_D_real: -0.025786 Loss_D_fake 0.013065
[197/5000][235/535][20005] Loss_D: -0.034675 Loss_G: 0.035555 Loss_D_real: -0.034733 Loss_D_fake -0.000058
[197/5000][240/535][20006] Loss_D: -0.037840 Loss_G: 0.015025 Loss_D_real: -0.021384 Loss_D_fake 0.016456
[197/5000][245/535][20007] Loss_D: -0.037089 Loss_G: 0.018587 Loss_D_real: -0.025356 Loss_D_fake 0.011734
[197/5000][250/535][20008] Loss_D: -0.037721 Loss_G: 0.042110 Loss_D_real: -0.042858 Loss_D_fake -0.005137
[197/5000][255/535][20009] Loss_D: -0.038972 Loss_G: 0.023967 Loss_D_real: -0.033081 Loss_D_fake 0.005890
[197/5000][260/535][20010] Loss_D: -0.037178 Loss_G: 0.032474 Loss_D_real: -0.033715 Loss_D_fake 0.003463
[197/5000][265/535][20011] Loss_D: -0.040017 Loss_G: 0.026312 Loss_D_real: -0.025275 Loss_D_fake 0.014742
[197/5000][270/535][20012] Loss_D: -0.039529 Loss_G: 0.002903 Loss_D_real: -0.020156 Loss_D_fake 0.019373
[197/5000][275/535][20013] Loss_D: -0.037322 Loss_G: 0.024788 Loss_D_real: -0.030327 Loss_D_fake 0.006995
[197/5000][280/535][20014] Loss_D: -0.035659 Loss_G: 0.003757 Loss_D_real: -0.006024 Loss_D_fake 0.029635
[197/5000][285/535][20015] Loss_D: -0.037025 Loss_G: 0.017312 Loss_D_real: -0.027870 Loss_D_fake 0.009155
[197/5000][290/535][20016] Loss_D: -0.038584 Loss_G: 0.024665 Loss_D_real: -0.030235 Loss_D_fake 0.008349
[197/5000][295/535][20017] Loss_D: -0.037261 Loss_G: 0.000055 Loss_D_real: -0.010277 Loss_D_fake 0.026984
[197/5000][300/535][20018] Loss_D: -0.036660 Loss_G: 0.030680 Loss_D_real: -0.036516 Loss_D_fake 0.000144
[197/5000][305/535][20019] Loss_D: -0.038065 Loss_G: 0.007123 Loss_D_real: -0.010090 Loss_D_fake 0.027975
[197/5000][310/535][20020] Loss_D: -0.038448 Loss_G: 0.032035 Loss_D_real: -0.034016 Loss_D_fake 0.004432
[197/5000][315/535][20021] Loss_D: -0.038518 Loss_G: -0.008927 Loss_D_real: -0.007236 Loss_D_fake 0.031281
[197/5000][320/535][20022] Loss_D: -0.037970 Loss_G: 0.003052 Loss_D_real: -0.018791 Loss_D_fake 0.019178
[197/5000][325/535][20023] Loss_D: -0.036902 Loss_G: 0.006287 Loss_D_real: -0.015748 Loss_D_fake 0.021154
[197/5000][330/535][20024] Loss_D: -0.037435 Loss_G: 0.025319 Loss_D_real: -0.031218 Loss_D_fake 0.006217
[197/5000][335/535][20025] Loss_D: -0.035563 Loss_G: 0.029269 Loss_D_real: -0.030783 Loss_D_fake 0.004779
[197/5000][340/535][20026] Loss_D: -0.037035 Loss_G: 0.028245 Loss_D_real: -0.025014 Loss_D_fake 0.012021
[197/5000][345/535][20027] Loss_D: -0.035979 Loss_G: -0.001461 Loss_D_real: -0.013960 Loss_D_fake 0.022020
[197/5000][350/535][20028] Loss_D: -0.036328 Loss_G: 0.041429 Loss_D_real: -0.036278 Loss_D_fake 0.000050
[197/5000][355/535][20029] Loss_D: -0.036437 Loss_G: 0.012305 Loss_D_real: -0.021646 Loss_D_fake 0.014791
[197/5000][360/535][20030] Loss_D: -0.036299 Loss_G: 0.033542 Loss_D_real: -0.037468 Loss_D_fake -0.001169
[197/5000][365/535][20031] Loss_D: -0.037269 Loss_G: 0.001213 Loss_D_real: -0.015332 Loss_D_fake 0.021937
[197/5000][370/535][20032] Loss_D: -0.036594 Loss_G: 0.024739 Loss_D_real: -0.025384 Loss_D_fake 0.011211
[197/5000][375/535][20033] Loss_D: -0.037918 Loss_G: -0.000426 Loss_D_real: -0.012609 Loss_D_fake 0.025309
[197/5000][380/535][20034] Loss_D: -0.036691 Loss_G: 0.037892 Loss_D_real: -0.037892 Loss_D_fake -0.001201
[197/5000][385/535][20035] Loss_D: -0.037565 Loss_G: 0.009174 Loss_D_real: -0.014589 Loss_D_fake 0.022975
[197/5000][390/535][20036] Loss_D: -0.035087 Loss_G: 0.036969 Loss_D_real: -0.032462 Loss_D_fake 0.002625
[197/5000][395/535][20037] Loss_D: -0.037218 Loss_G: 0.018091 Loss_D_real: -0.027717 Loss_D_fake 0.009501
[197/5000][400/535][20038] Loss_D: -0.038939 Loss_G: 0.032753 Loss_D_real: -0.026330 Loss_D_fake 0.012609
[197/5000][405/535][20039] Loss_D: -0.038158 Loss_G: 0.005908 Loss_D_real: -0.019797 Loss_D_fake 0.018361
[197/5000][410/535][20040] Loss_D: -0.037654 Loss_G: 0.011036 Loss_D_real: -0.027109 Loss_D_fake 0.010545
[197/5000][415/535][20041] Loss_D: -0.036922 Loss_G: 0.045211 Loss_D_real: -0.046164 Loss_D_fake -0.009242
[197/5000][420/535][20042] Loss_D: -0.038227 Loss_G: -0.007454 Loss_D_real: -0.005546 Loss_D_fake 0.032680
[197/5000][425/535][20043] Loss_D: -0.038497 Loss_G: 0.025210 Loss_D_real: -0.029682 Loss_D_fake 0.008816
[197/5000][430/535][20044] Loss_D: -0.034969 Loss_G: -0.006331 Loss_D_real: 0.003080 Loss_D_fake 0.038048
[197/5000][435/535][20045] Loss_D: -0.036602 Loss_G: 0.019696 Loss_D_real: -0.024028 Loss_D_fake 0.012573
[197/5000][440/535][20046] Loss_D: -0.036140 Loss_G: -0.011322 Loss_D_real: -0.001490 Loss_D_fake 0.034650
[197/5000][445/535][20047] Loss_D: -0.036172 Loss_G: 0.035128 Loss_D_real: -0.031365 Loss_D_fake 0.004807
[197/5000][450/535][20048] Loss_D: -0.037450 Loss_G: -0.000442 Loss_D_real: -0.011324 Loss_D_fake 0.026126
[197/5000][455/535][20049] Loss_D: -0.037839 Loss_G: 0.024952 Loss_D_real: -0.030661 Loss_D_fake 0.007178
[197/5000][460/535][20050] Loss_D: -0.038568 Loss_G: 0.013136 Loss_D_real: -0.015001 Loss_D_fake 0.023566
[197/5000][465/535][20051] Loss_D: -0.039041 Loss_G: 0.016389 Loss_D_real: -0.022417 Loss_D_fake 0.016624
[197/5000][470/535][20052] Loss_D: -0.039451 Loss_G: 0.021279 Loss_D_real: -0.026696 Loss_D_fake 0.012755
[197/5000][475/535][20053] Loss_D: -0.036311 Loss_G: 0.045628 Loss_D_real: -0.035970 Loss_D_fake 0.000341
[197/5000][480/535][20054] Loss_D: -0.037801 Loss_G: 0.005918 Loss_D_real: -0.016768 Loss_D_fake 0.021032
[197/5000][485/535][20055] Loss_D: -0.035789 Loss_G: 0.035307 Loss_D_real: -0.035349 Loss_D_fake 0.000440
[197/5000][490/535][20056] Loss_D: -0.037562 Loss_G: 0.022480 Loss_D_real: -0.028631 Loss_D_fake 0.008931
[197/5000][495/535][20057] Loss_D: -0.038242 Loss_G: 0.034311 Loss_D_real: -0.033381 Loss_D_fake 0.004861
[197/5000][500/535][20058] Loss_D: -0.036615 Loss_G: -0.009901 Loss_D_real: -0.001427 Loss_D_fake 0.035187
[197/5000][505/535][20059] Loss_D: -0.036516 Loss_G: 0.036470 Loss_D_real: -0.038908 Loss_D_fake -0.002393
[197/5000][510/535][20060] Loss_D: -0.037466 Loss_G: 0.003751 Loss_D_real: -0.011776 Loss_D_fake 0.025689
[197/5000][515/535][20061] Loss_D: -0.035720 Loss_G: 0.019736 Loss_D_real: -0.028173 Loss_D_fake 0.007547
[197/5000][520/535][20062] Loss_D: -0.037641 Loss_G: -0.001248 Loss_D_real: -0.010777 Loss_D_fake 0.026864
[197/5000][525/535][20063] Loss_D: -0.036919 Loss_G: 0.021463 Loss_D_real: -0.023843 Loss_D_fake 0.013076
[197/5000][530/535][20064] Loss_D: -0.036482 Loss_G: -0.008896 Loss_D_real: -0.010283 Loss_D_fake 0.026198
[197/5000][535/535][20065] Loss_D: -0.039550 Loss_G: 0.013051 Loss_D_real: -0.032897 Loss_D_fake 0.006653
[198/5000][5/535][20066] Loss_D: -0.038527 Loss_G: 0.039953 Loss_D_real: -0.043036 Loss_D_fake -0.004509
[198/5000][10/535][20067] Loss_D: -0.038790 Loss_G: 0.004807 Loss_D_real: -0.014087 Loss_D_fake 0.024703
[198/5000][15/535][20068] Loss_D: -0.037734 Loss_G: 0.031157 Loss_D_real: -0.032960 Loss_D_fake 0.004774
[198/5000][20/535][20069] Loss_D: -0.035894 Loss_G: 0.039889 Loss_D_real: -0.037438 Loss_D_fake -0.001544
[198/5000][25/535][20070] Loss_D: -0.039816 Loss_G: 0.029408 Loss_D_real: -0.025521 Loss_D_fake 0.014295
[198/5000][30/535][20071] Loss_D: -0.038282 Loss_G: 0.022424 Loss_D_real: -0.025755 Loss_D_fake 0.012527
[198/5000][35/535][20072] Loss_D: -0.038621 Loss_G: -0.003013 Loss_D_real: -0.008039 Loss_D_fake 0.030582
[198/5000][40/535][20073] Loss_D: -0.037041 Loss_G: 0.035118 Loss_D_real: -0.036298 Loss_D_fake 0.000743
[198/5000][45/535][20074] Loss_D: -0.038473 Loss_G: 0.041302 Loss_D_real: -0.037583 Loss_D_fake 0.000891
[198/5000][50/535][20075] Loss_D: -0.037819 Loss_G: 0.009540 Loss_D_real: -0.013284 Loss_D_fake 0.024535
[198/5000][55/535][20076] Loss_D: -0.039412 Loss_G: 0.029549 Loss_D_real: -0.033970 Loss_D_fake 0.005442
[198/5000][60/535][20077] Loss_D: -0.037242 Loss_G: 0.030215 Loss_D_real: -0.030814 Loss_D_fake 0.006429
[198/5000][65/535][20078] Loss_D: -0.039334 Loss_G: 0.000394 Loss_D_real: -0.014570 Loss_D_fake 0.024764
[198/5000][70/535][20079] Loss_D: -0.038566 Loss_G: 0.025138 Loss_D_real: -0.031577 Loss_D_fake 0.006989
[198/5000][75/535][20080] Loss_D: -0.037501 Loss_G: 0.000014 Loss_D_real: -0.013926 Loss_D_fake 0.023575
[198/5000][80/535][20081] Loss_D: -0.036809 Loss_G: 0.016774 Loss_D_real: -0.024031 Loss_D_fake 0.012778
[198/5000][85/535][20082] Loss_D: -0.037376 Loss_G: 0.010342 Loss_D_real: -0.018793 Loss_D_fake 0.018583
[198/5000][90/535][20083] Loss_D: -0.037306 Loss_G: 0.027093 Loss_D_real: -0.029896 Loss_D_fake 0.007410
[198/5000][95/535][20084] Loss_D: -0.038144 Loss_G: 0.001205 Loss_D_real: -0.009043 Loss_D_fake 0.029101
[198/5000][100/535][20085] Loss_D: -0.036985 Loss_G: 0.030500 Loss_D_real: -0.032492 Loss_D_fake 0.004492
[198/5000][105/535][20086] Loss_D: -0.037759 Loss_G: -0.001093 Loss_D_real: -0.011372 Loss_D_fake 0.026387
[198/5000][110/535][20087] Loss_D: -0.037817 Loss_G: 0.009148 Loss_D_real: -0.020059 Loss_D_fake 0.017758
[198/5000][115/535][20088] Loss_D: -0.038169 Loss_G: 0.007181 Loss_D_real: -0.018955 Loss_D_fake 0.019214
[198/5000][120/535][20089] Loss_D: -0.037606 Loss_G: 0.027347 Loss_D_real: -0.033518 Loss_D_fake 0.004088
[198/5000][125/535][20090] Loss_D: -0.037727 Loss_G: 0.041624 Loss_D_real: -0.039452 Loss_D_fake -0.001725
[198/5000][130/535][20091] Loss_D: -0.037849 Loss_G: 0.020130 Loss_D_real: -0.026325 Loss_D_fake 0.011525
[198/5000][135/535][20092] Loss_D: -0.036584 Loss_G: -0.011531 Loss_D_real: -0.003876 Loss_D_fake 0.032708
[198/5000][140/535][20093] Loss_D: -0.036288 Loss_G: 0.021349 Loss_D_real: -0.031676 Loss_D_fake 0.004611
[198/5000][145/535][20094] Loss_D: -0.036313 Loss_G: -0.002519 Loss_D_real: -0.020219 Loss_D_fake 0.016094
[198/5000][150/535][20095] Loss_D: -0.037517 Loss_G: 0.027245 Loss_D_real: -0.026235 Loss_D_fake 0.011282
[198/5000][155/535][20096] Loss_D: -0.037995 Loss_G: 0.026518 Loss_D_real: -0.031035 Loss_D_fake 0.006960
[198/5000][160/535][20097] Loss_D: -0.037340 Loss_G: 0.013592 Loss_D_real: -0.028933 Loss_D_fake 0.008406
[198/5000][165/535][20098] Loss_D: -0.037666 Loss_G: 0.012997 Loss_D_real: -0.015270 Loss_D_fake 0.022396
[198/5000][170/535][20099] Loss_D: -0.035671 Loss_G: 0.029408 Loss_D_real: -0.034183 Loss_D_fake 0.001488
[198/5000][175/535][20100] Loss_D: -0.036524 Loss_G: 0.019299 Loss_D_real: -0.027840 Loss_D_fake 0.008684
[198/5000][180/535][20101] Loss_D: -0.037282 Loss_G: 0.037264 Loss_D_real: -0.031255 Loss_D_fake 0.006027
[198/5000][185/535][20102] Loss_D: -0.038386 Loss_G: 0.029179 Loss_D_real: -0.025787 Loss_D_fake 0.012598
[198/5000][190/535][20103] Loss_D: -0.037430 Loss_G: 0.033584 Loss_D_real: -0.034087 Loss_D_fake 0.003343
[198/5000][195/535][20104] Loss_D: -0.037708 Loss_G: -0.000873 Loss_D_real: -0.010988 Loss_D_fake 0.026720
[198/5000][200/535][20105] Loss_D: -0.033799 Loss_G: 0.038695 Loss_D_real: -0.046098 Loss_D_fake -0.012298
[198/5000][205/535][20106] Loss_D: -0.037797 Loss_G: 0.024002 Loss_D_real: -0.030394 Loss_D_fake 0.007403
[198/5000][210/535][20107] Loss_D: -0.037952 Loss_G: 0.008567 Loss_D_real: -0.013082 Loss_D_fake 0.024870
[198/5000][215/535][20108] Loss_D: -0.035630 Loss_G: 0.041553 Loss_D_real: -0.045751 Loss_D_fake -0.010121
[198/5000][220/535][20109] Loss_D: -0.034145 Loss_G: -0.005921 Loss_D_real: 0.000224 Loss_D_fake 0.034369
[198/5000][225/535][20110] Loss_D: -0.035847 Loss_G: 0.030909 Loss_D_real: -0.036575 Loss_D_fake -0.000728
[198/5000][230/535][20111] Loss_D: -0.038544 Loss_G: 0.007391 Loss_D_real: -0.015699 Loss_D_fake 0.022845
[198/5000][235/535][20112] Loss_D: -0.037966 Loss_G: 0.016075 Loss_D_real: -0.026292 Loss_D_fake 0.011675
[198/5000][240/535][20113] Loss_D: -0.037287 Loss_G: 0.028971 Loss_D_real: -0.025984 Loss_D_fake 0.011303
[198/5000][245/535][20114] Loss_D: -0.038150 Loss_G: 0.011094 Loss_D_real: -0.017195 Loss_D_fake 0.020954
[198/5000][250/535][20115] Loss_D: -0.038789 Loss_G: 0.025634 Loss_D_real: -0.030489 Loss_D_fake 0.008300
[198/5000][255/535][20116] Loss_D: -0.038302 Loss_G: 0.034124 Loss_D_real: -0.036133 Loss_D_fake 0.002169
[198/5000][260/535][20117] Loss_D: -0.038624 Loss_G: 0.010971 Loss_D_real: -0.021230 Loss_D_fake 0.017394
[198/5000][265/535][20118] Loss_D: -0.036658 Loss_G: 0.043815 Loss_D_real: -0.032065 Loss_D_fake 0.004592
[198/5000][270/535][20119] Loss_D: -0.037996 Loss_G: 0.006230 Loss_D_real: -0.019903 Loss_D_fake 0.018093
[198/5000][275/535][20120] Loss_D: -0.037912 Loss_G: 0.029451 Loss_D_real: -0.030545 Loss_D_fake 0.007367
[198/5000][280/535][20121] Loss_D: -0.036690 Loss_G: 0.032110 Loss_D_real: -0.035324 Loss_D_fake 0.001367
[198/5000][285/535][20122] Loss_D: -0.037936 Loss_G: -0.004726 Loss_D_real: -0.006639 Loss_D_fake 0.031297
[198/5000][290/535][20123] Loss_D: -0.035650 Loss_G: 0.030217 Loss_D_real: -0.036631 Loss_D_fake -0.000981
[198/5000][295/535][20124] Loss_D: -0.037764 Loss_G: 0.013798 Loss_D_real: -0.018766 Loss_D_fake 0.018999
[198/5000][300/535][20125] Loss_D: -0.037578 Loss_G: 0.012840 Loss_D_real: -0.023233 Loss_D_fake 0.014345
[198/5000][305/535][20126] Loss_D: -0.039176 Loss_G: 0.024417 Loss_D_real: -0.031736 Loss_D_fake 0.007440
[198/5000][310/535][20127] Loss_D: -0.037424 Loss_G: 0.037633 Loss_D_real: -0.036537 Loss_D_fake 0.000887
[198/5000][315/535][20128] Loss_D: -0.038129 Loss_G: -0.014293 Loss_D_real: -0.003906 Loss_D_fake 0.034224
[198/5000][320/535][20129] Loss_D: -0.036727 Loss_G: 0.025058 Loss_D_real: -0.036288 Loss_D_fake 0.000439
[198/5000][325/535][20130] Loss_D: -0.038298 Loss_G: 0.000633 Loss_D_real: -0.016584 Loss_D_fake 0.021714
[198/5000][330/535][20131] Loss_D: -0.037010 Loss_G: 0.030272 Loss_D_real: -0.029587 Loss_D_fake 0.007422
[198/5000][335/535][20132] Loss_D: -0.035854 Loss_G: 0.003092 Loss_D_real: -0.014360 Loss_D_fake 0.021494
[198/5000][340/535][20133] Loss_D: -0.036276 Loss_G: 0.029027 Loss_D_real: -0.029152 Loss_D_fake 0.007124
[198/5000][345/535][20134] Loss_D: -0.037243 Loss_G: 0.022762 Loss_D_real: -0.027023 Loss_D_fake 0.010220
[198/5000][350/535][20135] Loss_D: -0.038085 Loss_G: 0.033685 Loss_D_real: -0.030543 Loss_D_fake 0.007542
[198/5000][355/535][20136] Loss_D: -0.038131 Loss_G: 0.006914 Loss_D_real: -0.011696 Loss_D_fake 0.026435
[198/5000][360/535][20137] Loss_D: -0.037538 Loss_G: 0.035685 Loss_D_real: -0.037871 Loss_D_fake -0.000333
[198/5000][365/535][20138] Loss_D: -0.037122 Loss_G: 0.007107 Loss_D_real: -0.010210 Loss_D_fake 0.026912
[198/5000][370/535][20139] Loss_D: -0.036650 Loss_G: 0.019321 Loss_D_real: -0.025817 Loss_D_fake 0.010833
[198/5000][375/535][20140] Loss_D: -0.036448 Loss_G: 0.014429 Loss_D_real: -0.023816 Loss_D_fake 0.012632
[198/5000][380/535][20141] Loss_D: -0.037078 Loss_G: 0.028873 Loss_D_real: -0.034512 Loss_D_fake 0.002566
[198/5000][385/535][20142] Loss_D: -0.037382 Loss_G: -0.007075 Loss_D_real: -0.006973 Loss_D_fake 0.030409
[198/5000][390/535][20143] Loss_D: -0.037063 Loss_G: 0.013321 Loss_D_real: -0.017029 Loss_D_fake 0.020033
[198/5000][395/535][20144] Loss_D: -0.035839 Loss_G: 0.011486 Loss_D_real: -0.010163 Loss_D_fake 0.025676
[198/5000][400/535][20145] Loss_D: -0.035327 Loss_G: 0.009398 Loss_D_real: -0.020654 Loss_D_fake 0.014673
[198/5000][405/535][20146] Loss_D: -0.036579 Loss_G: 0.034527 Loss_D_real: -0.035238 Loss_D_fake 0.001341
[198/5000][410/535][20147] Loss_D: -0.036087 Loss_G: 0.006921 Loss_D_real: -0.009493 Loss_D_fake 0.026595
[198/5000][415/535][20148] Loss_D: -0.036512 Loss_G: 0.039930 Loss_D_real: -0.043909 Loss_D_fake -0.007396
[198/5000][420/535][20149] Loss_D: -0.038039 Loss_G: 0.013237 Loss_D_real: -0.014661 Loss_D_fake 0.023378
[198/5000][425/535][20150] Loss_D: -0.038058 Loss_G: 0.033310 Loss_D_real: -0.035988 Loss_D_fake 0.002070
[198/5000][430/535][20151] Loss_D: -0.038640 Loss_G: 0.015017 Loss_D_real: -0.019024 Loss_D_fake 0.019615
[198/5000][435/535][20152] Loss_D: -0.038546 Loss_G: 0.012568 Loss_D_real: -0.020633 Loss_D_fake 0.017914
[198/5000][440/535][20153] Loss_D: -0.038351 Loss_G: 0.034684 Loss_D_real: -0.036734 Loss_D_fake 0.001617
[198/5000][445/535][20154] Loss_D: -0.038763 Loss_G: 0.039418 Loss_D_real: -0.039589 Loss_D_fake -0.000825
[198/5000][450/535][20155] Loss_D: -0.039010 Loss_G: 0.029784 Loss_D_real: -0.030097 Loss_D_fake 0.008913
[198/5000][455/535][20156] Loss_D: -0.037153 Loss_G: 0.024873 Loss_D_real: -0.025286 Loss_D_fake 0.011867
[198/5000][460/535][20157] Loss_D: -0.039861 Loss_G: 0.015797 Loss_D_real: -0.020263 Loss_D_fake 0.019598
[198/5000][465/535][20158] Loss_D: -0.037947 Loss_G: 0.020703 Loss_D_real: -0.027268 Loss_D_fake 0.010679
[198/5000][470/535][20159] Loss_D: -0.036914 Loss_G: 0.037750 Loss_D_real: -0.034751 Loss_D_fake 0.002163
[198/5000][475/535][20160] Loss_D: -0.035653 Loss_G: 0.001180 Loss_D_real: -0.015132 Loss_D_fake 0.020521
[198/5000][480/535][20161] Loss_D: -0.038454 Loss_G: 0.031412 Loss_D_real: -0.030396 Loss_D_fake 0.008058
[198/5000][485/535][20162] Loss_D: -0.036771 Loss_G: -0.015352 Loss_D_real: -0.002235 Loss_D_fake 0.034536
[198/5000][490/535][20163] Loss_D: -0.035654 Loss_G: 0.035483 Loss_D_real: -0.044835 Loss_D_fake -0.009181
[198/5000][495/535][20164] Loss_D: -0.036811 Loss_G: 0.002410 Loss_D_real: -0.006183 Loss_D_fake 0.030628
[198/5000][500/535][20165] Loss_D: -0.037000 Loss_G: 0.023428 Loss_D_real: -0.030054 Loss_D_fake 0.006946
[198/5000][505/535][20166] Loss_D: -0.037449 Loss_G: 0.007780 Loss_D_real: -0.013817 Loss_D_fake 0.023632
[198/5000][510/535][20167] Loss_D: -0.037086 Loss_G: 0.008544 Loss_D_real: -0.019062 Loss_D_fake 0.018025
[198/5000][515/535][20168] Loss_D: -0.036286 Loss_G: 0.035338 Loss_D_real: -0.034039 Loss_D_fake 0.002247
[198/5000][520/535][20169] Loss_D: -0.035647 Loss_G: 0.036732 Loss_D_real: -0.038927 Loss_D_fake -0.003280
[198/5000][525/535][20170] Loss_D: -0.036257 Loss_G: 0.024402 Loss_D_real: -0.022809 Loss_D_fake 0.013448
[198/5000][530/535][20171] Loss_D: -0.035421 Loss_G: 0.031642 Loss_D_real: -0.042424 Loss_D_fake -0.007003
[198/5000][535/535][20172] Loss_D: -0.041219 Loss_G: 0.006335 Loss_D_real: -0.024640 Loss_D_fake 0.016579
[199/5000][5/535][20173] Loss_D: -0.038685 Loss_G: 0.021749 Loss_D_real: -0.033035 Loss_D_fake 0.005650
[199/5000][10/535][20174] Loss_D: -0.036822 Loss_G: 0.001702 Loss_D_real: -0.021575 Loss_D_fake 0.015246
[199/5000][15/535][20175] Loss_D: -0.037899 Loss_G: 0.020623 Loss_D_real: -0.024767 Loss_D_fake 0.013132
[199/5000][20/535][20176] Loss_D: -0.038243 Loss_G: 0.026688 Loss_D_real: -0.032295 Loss_D_fake 0.005948
[199/5000][25/535][20177] Loss_D: -0.035657 Loss_G: -0.013263 Loss_D_real: -0.002457 Loss_D_fake 0.033200
[199/5000][30/535][20178] Loss_D: -0.034542 Loss_G: 0.034871 Loss_D_real: -0.040902 Loss_D_fake -0.006360
[199/5000][35/535][20179] Loss_D: -0.036500 Loss_G: 0.012695 Loss_D_real: -0.020542 Loss_D_fake 0.015958
[199/5000][40/535][20180] Loss_D: -0.037772 Loss_G: 0.006927 Loss_D_real: -0.011950 Loss_D_fake 0.025823
[199/5000][45/535][20181] Loss_D: -0.038072 Loss_G: 0.010854 Loss_D_real: -0.017095 Loss_D_fake 0.020977
[199/5000][50/535][20182] Loss_D: -0.035725 Loss_G: 0.029481 Loss_D_real: -0.030862 Loss_D_fake 0.004863
[199/5000][55/535][20183] Loss_D: -0.036619 Loss_G: 0.007564 Loss_D_real: -0.013136 Loss_D_fake 0.023484
[199/5000][60/535][20184] Loss_D: -0.034798 Loss_G: 0.037878 Loss_D_real: -0.045637 Loss_D_fake -0.010840
[199/5000][65/535][20185] Loss_D: -0.039453 Loss_G: 0.001870 Loss_D_real: -0.006416 Loss_D_fake 0.033036
[199/5000][70/535][20186] Loss_D: -0.037025 Loss_G: 0.020675 Loss_D_real: -0.022019 Loss_D_fake 0.015005
[199/5000][75/535][20187] Loss_D: -0.037967 Loss_G: 0.028219 Loss_D_real: -0.032611 Loss_D_fake 0.005356
[199/5000][80/535][20188] Loss_D: -0.038968 Loss_G: 0.037561 Loss_D_real: -0.033909 Loss_D_fake 0.005059
[199/5000][85/535][20189] Loss_D: -0.039544 Loss_G: 0.019560 Loss_D_real: -0.019930 Loss_D_fake 0.019614
[199/5000][90/535][20190] Loss_D: -0.037328 Loss_G: 0.036750 Loss_D_real: -0.039978 Loss_D_fake -0.002650
[199/5000][95/535][20191] Loss_D: -0.037492 Loss_G: -0.004333 Loss_D_real: -0.004442 Loss_D_fake 0.033051
[199/5000][100/535][20192] Loss_D: -0.035237 Loss_G: 0.029332 Loss_D_real: -0.034028 Loss_D_fake 0.001209
[199/5000][105/535][20193] Loss_D: -0.038706 Loss_G: 0.010924 Loss_D_real: -0.016616 Loss_D_fake 0.022090
[199/5000][110/535][20194] Loss_D: -0.037345 Loss_G: 0.010746 Loss_D_real: -0.019195 Loss_D_fake 0.018150
[199/5000][115/535][20195] Loss_D: -0.037062 Loss_G: 0.001075 Loss_D_real: -0.008588 Loss_D_fake 0.028474
[199/5000][120/535][20196] Loss_D: -0.037376 Loss_G: 0.037106 Loss_D_real: -0.041097 Loss_D_fake -0.003721
[199/5000][125/535][20197] Loss_D: -0.037186 Loss_G: -0.012560 Loss_D_real: -0.007502 Loss_D_fake 0.029685
[199/5000][130/535][20198] Loss_D: -0.036670 Loss_G: 0.018764 Loss_D_real: -0.021358 Loss_D_fake 0.015312
[199/5000][135/535][20199] Loss_D: -0.038257 Loss_G: 0.036275 Loss_D_real: -0.030443 Loss_D_fake 0.007815
[199/5000][140/535][20200] Loss_D: -0.039246 Loss_G: 0.005364 Loss_D_real: -0.014112 Loss_D_fake 0.025134
[199/5000][145/535][20201] Loss_D: -0.036520 Loss_G: 0.020804 Loss_D_real: -0.031902 Loss_D_fake 0.004619
[199/5000][150/535][20202] Loss_D: -0.037727 Loss_G: 0.028015 Loss_D_real: -0.029213 Loss_D_fake 0.008514
[199/5000][155/535][20203] Loss_D: -0.037828 Loss_G: -0.005798 Loss_D_real: -0.008648 Loss_D_fake 0.029180
[199/5000][160/535][20204] Loss_D: -0.036985 Loss_G: 0.035968 Loss_D_real: -0.040951 Loss_D_fake -0.003967
[199/5000][165/535][20205] Loss_D: -0.037015 Loss_G: 0.039841 Loss_D_real: -0.041681 Loss_D_fake -0.004665
[199/5000][170/535][20206] Loss_D: -0.035182 Loss_G: -0.008446 Loss_D_real: -0.001288 Loss_D_fake 0.033894
[199/5000][175/535][20207] Loss_D: -0.036192 Loss_G: 0.035498 Loss_D_real: -0.039297 Loss_D_fake -0.003105
[199/5000][180/535][20208] Loss_D: -0.038244 Loss_G: -0.005507 Loss_D_real: -0.009510 Loss_D_fake 0.028734
[199/5000][185/535][20209] Loss_D: -0.035117 Loss_G: 0.041970 Loss_D_real: -0.040183 Loss_D_fake -0.005066
[199/5000][190/535][20210] Loss_D: -0.035740 Loss_G: 0.008818 Loss_D_real: -0.021477 Loss_D_fake 0.014263
[199/5000][195/535][20211] Loss_D: -0.036326 Loss_G: 0.001411 Loss_D_real: -0.017849 Loss_D_fake 0.018477
[199/5000][200/535][20212] Loss_D: -0.035623 Loss_G: 0.006849 Loss_D_real: -0.020699 Loss_D_fake 0.014924
[199/5000][205/535][20213] Loss_D: -0.037257 Loss_G: 0.040133 Loss_D_real: -0.045293 Loss_D_fake -0.008035
[199/5000][210/535][20214] Loss_D: -0.038877 Loss_G: 0.017961 Loss_D_real: -0.023337 Loss_D_fake 0.015540
[199/5000][215/535][20215] Loss_D: -0.037232 Loss_G: 0.033951 Loss_D_real: -0.038113 Loss_D_fake -0.000880
[199/5000][220/535][20216] Loss_D: -0.037281 Loss_G: 0.020070 Loss_D_real: -0.025967 Loss_D_fake 0.011314
[199/5000][225/535][20217] Loss_D: -0.037645 Loss_G: 0.019052 Loss_D_real: -0.021832 Loss_D_fake 0.015813
[199/5000][230/535][20218] Loss_D: -0.037696 Loss_G: 0.013286 Loss_D_real: -0.023188 Loss_D_fake 0.014508
[199/5000][235/535][20219] Loss_D: -0.037625 Loss_G: 0.018466 Loss_D_real: -0.027533 Loss_D_fake 0.010092
[199/5000][240/535][20220] Loss_D: -0.037580 Loss_G: -0.008420 Loss_D_real: -0.007592 Loss_D_fake 0.029988
[199/5000][245/535][20221] Loss_D: -0.036679 Loss_G: 0.022658 Loss_D_real: -0.030946 Loss_D_fake 0.005734
[199/5000][250/535][20222] Loss_D: -0.037346 Loss_G: -0.005137 Loss_D_real: -0.013334 Loss_D_fake 0.024012
[199/5000][255/535][20223] Loss_D: -0.037017 Loss_G: 0.031444 Loss_D_real: -0.035781 Loss_D_fake 0.001236
[199/5000][260/535][20224] Loss_D: -0.036298 Loss_G: 0.039421 Loss_D_real: -0.043896 Loss_D_fake -0.007598
[199/5000][265/535][20225] Loss_D: -0.034451 Loss_G: -0.011535 Loss_D_real: 0.001633 Loss_D_fake 0.036084
[199/5000][270/535][20226] Loss_D: -0.035331 Loss_G: 0.024884 Loss_D_real: -0.039314 Loss_D_fake -0.003983
[199/5000][275/535][20227] Loss_D: -0.038608 Loss_G: 0.013991 Loss_D_real: -0.020564 Loss_D_fake 0.018044
[199/5000][280/535][20228] Loss_D: -0.039026 Loss_G: 0.008659 Loss_D_real: -0.013574 Loss_D_fake 0.025452
[199/5000][285/535][20229] Loss_D: -0.037903 Loss_G: 0.023857 Loss_D_real: -0.030111 Loss_D_fake 0.007792
[199/5000][290/535][20230] Loss_D: -0.038836 Loss_G: 0.012752 Loss_D_real: -0.015334 Loss_D_fake 0.023501
[199/5000][295/535][20231] Loss_D: -0.037844 Loss_G: 0.011488 Loss_D_real: -0.014712 Loss_D_fake 0.023132
[199/5000][300/535][20232] Loss_D: -0.038511 Loss_G: 0.003748 Loss_D_real: -0.014830 Loss_D_fake 0.023681
[199/5000][305/535][20233] Loss_D: -0.038651 Loss_G: 0.034724 Loss_D_real: -0.029104 Loss_D_fake 0.009547
[199/5000][310/535][20234] Loss_D: -0.038736 Loss_G: -0.001219 Loss_D_real: -0.016270 Loss_D_fake 0.022466
[199/5000][315/535][20235] Loss_D: -0.035705 Loss_G: 0.033185 Loss_D_real: -0.033566 Loss_D_fake 0.002139
[199/5000][320/535][20236] Loss_D: -0.037427 Loss_G: -0.014370 Loss_D_real: -0.000613 Loss_D_fake 0.036814
[199/5000][325/535][20237] Loss_D: -0.037474 Loss_G: 0.017622 Loss_D_real: -0.022865 Loss_D_fake 0.014609
[199/5000][330/535][20238] Loss_D: -0.038262 Loss_G: 0.011582 Loss_D_real: -0.014668 Loss_D_fake 0.023594
[199/5000][335/535][20239] Loss_D: -0.036544 Loss_G: 0.009977 Loss_D_real: -0.017317 Loss_D_fake 0.019226
[199/5000][340/535][20240] Loss_D: -0.036444 Loss_G: 0.009746 Loss_D_real: -0.020239 Loss_D_fake 0.016205
[199/5000][345/535][20241] Loss_D: -0.038266 Loss_G: 0.014162 Loss_D_real: -0.027365 Loss_D_fake 0.010901
[199/5000][350/535][20242] Loss_D: -0.038551 Loss_G: 0.039272 Loss_D_real: -0.033672 Loss_D_fake 0.004879
[199/5000][355/535][20243] Loss_D: -0.038674 Loss_G: 0.003098 Loss_D_real: -0.017076 Loss_D_fake 0.021598
[199/5000][360/535][20244] Loss_D: -0.038860 Loss_G: 0.022573 Loss_D_real: -0.031205 Loss_D_fake 0.007655
[199/5000][365/535][20245] Loss_D: -0.038776 Loss_G: 0.001660 Loss_D_real: -0.013299 Loss_D_fake 0.025477
[199/5000][370/535][20246] Loss_D: -0.038843 Loss_G: 0.007305 Loss_D_real: -0.019948 Loss_D_fake 0.018895
[199/5000][375/535][20247] Loss_D: -0.038848 Loss_G: 0.037490 Loss_D_real: -0.036528 Loss_D_fake 0.002319
[199/5000][380/535][20248] Loss_D: -0.035591 Loss_G: -0.009267 Loss_D_real: 0.003632 Loss_D_fake 0.039223
[199/5000][385/535][20249] Loss_D: -0.036688 Loss_G: 0.012370 Loss_D_real: -0.022306 Loss_D_fake 0.014382
[199/5000][390/535][20250] Loss_D: -0.036273 Loss_G: 0.012291 Loss_D_real: -0.017573 Loss_D_fake 0.018700
[199/5000][395/535][20251] Loss_D: -0.035604 Loss_G: 0.031166 Loss_D_real: -0.032671 Loss_D_fake 0.002933
[199/5000][400/535][20252] Loss_D: -0.037425 Loss_G: 0.007065 Loss_D_real: -0.014634 Loss_D_fake 0.022791
[199/5000][405/535][20253] Loss_D: -0.037448 Loss_G: 0.032991 Loss_D_real: -0.037314 Loss_D_fake 0.000134
[199/5000][410/535][20254] Loss_D: -0.038441 Loss_G: 0.028713 Loss_D_real: -0.025310 Loss_D_fake 0.013131
[199/5000][415/535][20255] Loss_D: -0.036162 Loss_G: 0.009453 Loss_D_real: -0.012448 Loss_D_fake 0.023714
[199/5000][420/535][20256] Loss_D: -0.036310 Loss_G: 0.043040 Loss_D_real: -0.039386 Loss_D_fake -0.003076
[199/5000][425/535][20257] Loss_D: -0.037798 Loss_G: 0.002926 Loss_D_real: -0.016928 Loss_D_fake 0.020870
[199/5000][430/535][20258] Loss_D: -0.035806 Loss_G: 0.036024 Loss_D_real: -0.042325 Loss_D_fake -0.006519
[199/5000][435/535][20259] Loss_D: -0.037167 Loss_G: -0.007033 Loss_D_real: 0.001379 Loss_D_fake 0.038546
[199/5000][440/535][20260] Loss_D: -0.036236 Loss_G: 0.027171 Loss_D_real: -0.029432 Loss_D_fake 0.006804
[199/5000][445/535][20261] Loss_D: -0.037252 Loss_G: 0.003960 Loss_D_real: -0.012026 Loss_D_fake 0.025226
[199/5000][450/535][20262] Loss_D: -0.035821 Loss_G: 0.040382 Loss_D_real: -0.041075 Loss_D_fake -0.005254
[199/5000][455/535][20263] Loss_D: -0.039339 Loss_G: 0.027966 Loss_D_real: -0.030815 Loss_D_fake 0.008524
[199/5000][460/535][20264] Loss_D: -0.038282 Loss_G: -0.009196 Loss_D_real: -0.009388 Loss_D_fake 0.028894
[199/5000][465/535][20265] Loss_D: -0.036922 Loss_G: 0.027825 Loss_D_real: -0.028023 Loss_D_fake 0.008900
[199/5000][470/535][20266] Loss_D: -0.038092 Loss_G: 0.014620 Loss_D_real: -0.022176 Loss_D_fake 0.015916
[199/5000][475/535][20267] Loss_D: -0.037393 Loss_G: 0.008049 Loss_D_real: -0.016241 Loss_D_fake 0.021152
[199/5000][480/535][20268] Loss_D: -0.037274 Loss_G: 0.018524 Loss_D_real: -0.034277 Loss_D_fake 0.002998
[199/5000][485/535][20269] Loss_D: -0.038398 Loss_G: 0.036836 Loss_D_real: -0.034416 Loss_D_fake 0.003982
[199/5000][490/535][20270] Loss_D: -0.038494 Loss_G: 0.004180 Loss_D_real: -0.008711 Loss_D_fake 0.029783
[199/5000][495/535][20271] Loss_D: -0.036108 Loss_G: 0.034847 Loss_D_real: -0.040658 Loss_D_fake -0.004551
[199/5000][500/535][20272] Loss_D: -0.038775 Loss_G: 0.020476 Loss_D_real: -0.031291 Loss_D_fake 0.007485
[199/5000][505/535][20273] Loss_D: -0.039435 Loss_G: 0.023526 Loss_D_real: -0.030024 Loss_D_fake 0.009411
[199/5000][510/535][20274] Loss_D: -0.037045 Loss_G: 0.026303 Loss_D_real: -0.033719 Loss_D_fake 0.003326
[199/5000][515/535][20275] Loss_D: -0.037829 Loss_G: 0.016756 Loss_D_real: -0.021194 Loss_D_fake 0.016635
[199/5000][520/535][20276] Loss_D: -0.038355 Loss_G: 0.031357 Loss_D_real: -0.026434 Loss_D_fake 0.011921
[199/5000][525/535][20277] Loss_D: -0.036972 Loss_G: 0.026184 Loss_D_real: -0.032927 Loss_D_fake 0.004045
[199/5000][530/535][20278] Loss_D: -0.037325 Loss_G: 0.011791 Loss_D_real: -0.020914 Loss_D_fake 0.016411
[199/5000][535/535][20279] Loss_D: -0.034033 Loss_G: 0.037370 Loss_D_real: -0.039198 Loss_D_fake -0.005165
[200/5000][5/535][20280] Loss_D: -0.037702 Loss_G: 0.001713 Loss_D_real: -0.010903 Loss_D_fake 0.026799
[200/5000][10/535][20281] Loss_D: -0.035910 Loss_G: 0.033199 Loss_D_real: -0.034398 Loss_D_fake 0.001512
[200/5000][15/535][20282] Loss_D: -0.039273 Loss_G: 0.026649 Loss_D_real: -0.031587 Loss_D_fake 0.007687
[200/5000][20/535][20283] Loss_D: -0.037351 Loss_G: 0.037571 Loss_D_real: -0.033261 Loss_D_fake 0.004090
[200/5000][25/535][20284] Loss_D: -0.037457 Loss_G: -0.010222 Loss_D_real: 0.004360 Loss_D_fake 0.041817
[200/5000][30/535][20285] Loss_D: -0.036239 Loss_G: 0.028543 Loss_D_real: -0.030901 Loss_D_fake 0.005338
[200/5000][35/535][20286] Loss_D: -0.035169 Loss_G: 0.026027 Loss_D_real: -0.028354 Loss_D_fake 0.006815
[200/5000][40/535][20287] Loss_D: -0.038310 Loss_G: 0.014861 Loss_D_real: -0.033831 Loss_D_fake 0.004479
[200/5000][45/535][20288] Loss_D: -0.038070 Loss_G: 0.003077 Loss_D_real: -0.013161 Loss_D_fake 0.024909
[200/5000][50/535][20289] Loss_D: -0.035818 Loss_G: 0.040171 Loss_D_real: -0.046201 Loss_D_fake -0.010384
[200/5000][55/535][20290] Loss_D: -0.036305 Loss_G: 0.004726 Loss_D_real: -0.010870 Loss_D_fake 0.025436
[200/5000][60/535][20291] Loss_D: -0.037265 Loss_G: 0.024298 Loss_D_real: -0.029486 Loss_D_fake 0.007780
[200/5000][65/535][20292] Loss_D: -0.038193 Loss_G: 0.012968 Loss_D_real: -0.023671 Loss_D_fake 0.014522
[200/5000][70/535][20293] Loss_D: -0.038016 Loss_G: 0.028343 Loss_D_real: -0.030246 Loss_D_fake 0.007770
[200/5000][75/535][20294] Loss_D: -0.036336 Loss_G: 0.015133 Loss_D_real: -0.023990 Loss_D_fake 0.012346
[200/5000][80/535][20295] Loss_D: -0.038872 Loss_G: 0.023304 Loss_D_real: -0.030426 Loss_D_fake 0.008446
[200/5000][85/535][20296] Loss_D: -0.037980 Loss_G: 0.010716 Loss_D_real: -0.017562 Loss_D_fake 0.020419
[200/5000][90/535][20297] Loss_D: -0.037351 Loss_G: 0.021910 Loss_D_real: -0.025724 Loss_D_fake 0.011627
[200/5000][95/535][20298] Loss_D: -0.038349 Loss_G: 0.016179 Loss_D_real: -0.019570 Loss_D_fake 0.018779
[200/5000][100/535][20299] Loss_D: -0.037735 Loss_G: 0.026558 Loss_D_real: -0.033152 Loss_D_fake 0.004582
[200/5000][105/535][20300] Loss_D: -0.038773 Loss_G: 0.012259 Loss_D_real: -0.019125 Loss_D_fake 0.019648
[200/5000][110/535][20301] Loss_D: -0.037277 Loss_G: 0.033086 Loss_D_real: -0.036582 Loss_D_fake 0.000695
[200/5000][115/535][20302] Loss_D: -0.037479 Loss_G: 0.013456 Loss_D_real: -0.015264 Loss_D_fake 0.022215
[200/5000][120/535][20303] Loss_D: -0.036173 Loss_G: 0.024992 Loss_D_real: -0.035218 Loss_D_fake 0.000955
[200/5000][125/535][20304] Loss_D: -0.037928 Loss_G: -0.004360 Loss_D_real: -0.008543 Loss_D_fake 0.029385
[200/5000][130/535][20305] Loss_D: -0.036603 Loss_G: 0.043542 Loss_D_real: -0.038214 Loss_D_fake -0.001611
[200/5000][135/535][20306] Loss_D: -0.034718 Loss_G: -0.020059 Loss_D_real: -0.003907 Loss_D_fake 0.030811
[200/5000][140/535][20307] Loss_D: -0.039303 Loss_G: 0.020033 Loss_D_real: -0.031889 Loss_D_fake 0.007414
[200/5000][145/535][20308] Loss_D: -0.035231 Loss_G: -0.006322 Loss_D_real: -0.001250 Loss_D_fake 0.033981
[200/5000][150/535][20309] Loss_D: -0.036876 Loss_G: 0.018327 Loss_D_real: -0.024126 Loss_D_fake 0.012750
[200/5000][155/535][20310] Loss_D: -0.036550 Loss_G: 0.013498 Loss_D_real: -0.025108 Loss_D_fake 0.011442
[200/5000][160/535][20311] Loss_D: -0.037338 Loss_G: 0.025731 Loss_D_real: -0.026226 Loss_D_fake 0.011112
[200/5000][165/535][20312] Loss_D: -0.036375 Loss_G: -0.005659 Loss_D_real: -0.005378 Loss_D_fake 0.030997
[200/5000][170/535][20313] Loss_D: -0.036739 Loss_G: 0.005524 Loss_D_real: -0.017989 Loss_D_fake 0.018750
[200/5000][175/535][20314] Loss_D: -0.037920 Loss_G: 0.029281 Loss_D_real: -0.028081 Loss_D_fake 0.009839
[200/5000][180/535][20315] Loss_D: -0.037361 Loss_G: 0.000532 Loss_D_real: -0.012779 Loss_D_fake 0.024581
[200/5000][185/535][20316] Loss_D: -0.036094 Loss_G: 0.009092 Loss_D_real: -0.019387 Loss_D_fake 0.016707
[200/5000][190/535][20317] Loss_D: -0.037278 Loss_G: 0.019182 Loss_D_real: -0.023935 Loss_D_fake 0.013343
[200/5000][195/535][20318] Loss_D: -0.039231 Loss_G: 0.019123 Loss_D_real: -0.019326 Loss_D_fake 0.019905
[200/5000][200/535][20319] Loss_D: -0.038347 Loss_G: -0.010739 Loss_D_real: -0.001358 Loss_D_fake 0.036989
[200/5000][205/535][20320] Loss_D: -0.037114 Loss_G: 0.021436 Loss_D_real: -0.037674 Loss_D_fake -0.000560
[200/5000][210/535][20321] Loss_D: -0.038414 Loss_G: 0.039209 Loss_D_real: -0.033172 Loss_D_fake 0.005242
[200/5000][215/535][20322] Loss_D: -0.037697 Loss_G: 0.013225 Loss_D_real: -0.018602 Loss_D_fake 0.019096
[200/5000][220/535][20323] Loss_D: -0.036251 Loss_G: 0.045421 Loss_D_real: -0.047391 Loss_D_fake -0.011140
[200/5000][225/535][20324] Loss_D: -0.038224 Loss_G: 0.017607 Loss_D_real: -0.021027 Loss_D_fake 0.017197
[200/5000][230/535][20325] Loss_D: -0.039428 Loss_G: 0.022152 Loss_D_real: -0.023247 Loss_D_fake 0.016181
[200/5000][235/535][20326] Loss_D: -0.037175 Loss_G: 0.038408 Loss_D_real: -0.041858 Loss_D_fake -0.004684
[200/5000][240/535][20327] Loss_D: -0.037718 Loss_G: 0.019225 Loss_D_real: -0.022353 Loss_D_fake 0.015364
[200/5000][245/535][20328] Loss_D: -0.037608 Loss_G: -0.000159 Loss_D_real: -0.013497 Loss_D_fake 0.024111
[200/5000][250/535][20329] Loss_D: -0.039196 Loss_G: 0.005257 Loss_D_real: -0.016873 Loss_D_fake 0.022323
[200/5000][255/535][20330] Loss_D: -0.037776 Loss_G: 0.035660 Loss_D_real: -0.034164 Loss_D_fake 0.003612
[200/5000][260/535][20331] Loss_D: -0.037520 Loss_G: 0.010040 Loss_D_real: -0.013323 Loss_D_fake 0.024196
[200/5000][265/535][20332] Loss_D: -0.037799 Loss_G: 0.014908 Loss_D_real: -0.026172 Loss_D_fake 0.011627
[200/5000][270/535][20333] Loss_D: -0.039072 Loss_G: 0.020404 Loss_D_real: -0.030612 Loss_D_fake 0.008460
[200/5000][275/535][20334] Loss_D: -0.037366 Loss_G: 0.001193 Loss_D_real: -0.019059 Loss_D_fake 0.018306
[200/5000][280/535][20335] Loss_D: -0.036861 Loss_G: 0.031599 Loss_D_real: -0.027543 Loss_D_fake 0.009318
[200/5000][285/535][20336] Loss_D: -0.037931 Loss_G: -0.007666 Loss_D_real: -0.005097 Loss_D_fake 0.032834
[200/5000][290/535][20337] Loss_D: -0.036398 Loss_G: 0.031425 Loss_D_real: -0.040155 Loss_D_fake -0.003757
[200/5000][295/535][20338] Loss_D: -0.038370 Loss_G: 0.013613 Loss_D_real: -0.022609 Loss_D_fake 0.015761
[200/5000][300/535][20339] Loss_D: -0.037811 Loss_G: 0.020843 Loss_D_real: -0.029328 Loss_D_fake 0.008483
[200/5000][305/535][20340] Loss_D: -0.038100 Loss_G: 0.002671 Loss_D_real: -0.011950 Loss_D_fake 0.026149
[200/5000][310/535][20341] Loss_D: -0.037542 Loss_G: 0.020023 Loss_D_real: -0.022911 Loss_D_fake 0.014631
[200/5000][315/535][20342] Loss_D: -0.036301 Loss_G: 0.031897 Loss_D_real: -0.032481 Loss_D_fake 0.003821
[200/5000][320/535][20343] Loss_D: -0.037846 Loss_G: -0.006877 Loss_D_real: -0.003485 Loss_D_fake 0.034361
[200/5000][325/535][20344] Loss_D: -0.036851 Loss_G: 0.032159 Loss_D_real: -0.036640 Loss_D_fake 0.000211
[200/5000][330/535][20345] Loss_D: -0.037720 Loss_G: 0.013615 Loss_D_real: -0.019152 Loss_D_fake 0.018568
[200/5000][335/535][20346] Loss_D: -0.037900 Loss_G: 0.022244 Loss_D_real: -0.024552 Loss_D_fake 0.013348
[200/5000][340/535][20347] Loss_D: -0.037556 Loss_G: 0.030375 Loss_D_real: -0.029780 Loss_D_fake 0.007777
[200/5000][345/535][20348] Loss_D: -0.038824 Loss_G: 0.017644 Loss_D_real: -0.027114 Loss_D_fake 0.011710
[200/5000][350/535][20349] Loss_D: -0.038092 Loss_G: 0.002246 Loss_D_real: -0.015438 Loss_D_fake 0.022654
[200/5000][355/535][20350] Loss_D: -0.037594 Loss_G: 0.024705 Loss_D_real: -0.033163 Loss_D_fake 0.004430
[200/5000][360/535][20351] Loss_D: -0.038375 Loss_G: 0.025608 Loss_D_real: -0.030626 Loss_D_fake 0.007750
[200/5000][365/535][20352] Loss_D: -0.038444 Loss_G: 0.027396 Loss_D_real: -0.032836 Loss_D_fake 0.005608
[200/5000][370/535][20353] Loss_D: -0.037383 Loss_G: -0.006503 Loss_D_real: -0.003467 Loss_D_fake 0.033916
[200/5000][375/535][20354] Loss_D: -0.036244 Loss_G: 0.035286 Loss_D_real: -0.035771 Loss_D_fake 0.000474
[200/5000][380/535][20355] Loss_D: -0.037343 Loss_G: 0.003597 Loss_D_real: -0.006591 Loss_D_fake 0.030752
[200/5000][385/535][20356] Loss_D: -0.037546 Loss_G: 0.020358 Loss_D_real: -0.031759 Loss_D_fake 0.005787
[200/5000][390/535][20357] Loss_D: -0.038692 Loss_G: 0.015612 Loss_D_real: -0.019161 Loss_D_fake 0.019531
[200/5000][395/535][20358] Loss_D: -0.038034 Loss_G: 0.037109 Loss_D_real: -0.036783 Loss_D_fake 0.001250
[200/5000][400/535][20359] Loss_D: -0.036554 Loss_G: -0.004210 Loss_D_real: -0.010958 Loss_D_fake 0.025596
[200/5000][405/535][20360] Loss_D: -0.038398 Loss_G: 0.008845 Loss_D_real: -0.021557 Loss_D_fake 0.016841
[200/5000][410/535][20361] Loss_D: -0.036266 Loss_G: 0.040396 Loss_D_real: -0.045348 Loss_D_fake -0.009082
[200/5000][415/535][20362] Loss_D: -0.035738 Loss_G: 0.004138 Loss_D_real: -0.006984 Loss_D_fake 0.028754
[200/5000][420/535][20363] Loss_D: -0.036997 Loss_G: 0.015194 Loss_D_real: -0.028650 Loss_D_fake 0.008347
[200/5000][425/535][20364] Loss_D: -0.038624 Loss_G: 0.023799 Loss_D_real: -0.034759 Loss_D_fake 0.003864
[200/5000][430/535][20365] Loss_D: -0.036995 Loss_G: 0.028129 Loss_D_real: -0.032729 Loss_D_fake 0.004266
[200/5000][435/535][20366] Loss_D: -0.037042 Loss_G: 0.007721 Loss_D_real: -0.018260 Loss_D_fake 0.018782
[200/5000][440/535][20367] Loss_D: -0.035309 Loss_G: 0.033021 Loss_D_real: -0.034918 Loss_D_fake 0.000390
[200/5000][445/535][20368] Loss_D: -0.037695 Loss_G: 0.018275 Loss_D_real: -0.026161 Loss_D_fake 0.011534
[200/5000][450/535][20369] Loss_D: -0.035626 Loss_G: 0.038803 Loss_D_real: -0.038428 Loss_D_fake -0.002802
[200/5000][455/535][20370] Loss_D: -0.036220 Loss_G: -0.002502 Loss_D_real: -0.006537 Loss_D_fake 0.029683
[200/5000][460/535][20371] Loss_D: -0.036632 Loss_G: 0.027943 Loss_D_real: -0.037540 Loss_D_fake -0.000908
[200/5000][465/535][20372] Loss_D: -0.036948 Loss_G: -0.005399 Loss_D_real: -0.012220 Loss_D_fake 0.024727
[200/5000][470/535][20373] Loss_D: -0.036109 Loss_G: 0.024546 Loss_D_real: -0.033819 Loss_D_fake 0.002290
[200/5000][475/535][20374] Loss_D: -0.038965 Loss_G: 0.008164 Loss_D_real: -0.022409 Loss_D_fake 0.016556
[200/5000][480/535][20375] Loss_D: -0.036297 Loss_G: 0.021831 Loss_D_real: -0.027711 Loss_D_fake 0.008586
[200/5000][485/535][20376] Loss_D: -0.037087 Loss_G: 0.026211 Loss_D_real: -0.028922 Loss_D_fake 0.008166
[200/5000][490/535][20377] Loss_D: -0.038560 Loss_G: 0.035923 Loss_D_real: -0.031830 Loss_D_fake 0.006731
[200/5000][495/535][20378] Loss_D: -0.039612 Loss_G: 0.019846 Loss_D_real: -0.025112 Loss_D_fake 0.014500
[200/5000][500/535][20379] Loss_D: -0.038313 Loss_G: 0.018729 Loss_D_real: -0.021135 Loss_D_fake 0.017179
[200/5000][505/535][20380] Loss_D: -0.037206 Loss_G: 0.033248 Loss_D_real: -0.039035 Loss_D_fake -0.001829
[200/5000][510/535][20381] Loss_D: -0.037340 Loss_G: -0.004016 Loss_D_real: -0.009878 Loss_D_fake 0.027462
[200/5000][515/535][20382] Loss_D: -0.036963 Loss_G: 0.025078 Loss_D_real: -0.036730 Loss_D_fake 0.000233
[200/5000][520/535][20383] Loss_D: -0.037580 Loss_G: 0.036166 Loss_D_real: -0.041789 Loss_D_fake -0.004209
[200/5000][525/535][20384] Loss_D: -0.037015 Loss_G: -0.001986 Loss_D_real: -0.004912 Loss_D_fake 0.032103
[200/5000][530/535][20385] Loss_D: -0.036141 Loss_G: 0.038476 Loss_D_real: -0.038452 Loss_D_fake -0.002312
[200/5000][535/535][20386] Loss_D: -0.038986 Loss_G: -0.013165 Loss_D_real: -0.008797 Loss_D_fake 0.030189
[201/5000][5/535][20387] Loss_D: -0.037951 Loss_G: 0.026795 Loss_D_real: -0.031392 Loss_D_fake 0.006558
[201/5000][10/535][20388] Loss_D: -0.037924 Loss_G: 0.019708 Loss_D_real: -0.027189 Loss_D_fake 0.010736
[201/5000][15/535][20389] Loss_D: -0.034483 Loss_G: 0.048202 Loss_D_real: -0.045385 Loss_D_fake -0.010902
[201/5000][20/535][20390] Loss_D: -0.037315 Loss_G: -0.000711 Loss_D_real: -0.010337 Loss_D_fake 0.026978
[201/5000][25/535][20391] Loss_D: -0.034754 Loss_G: 0.025082 Loss_D_real: -0.031493 Loss_D_fake 0.003261
[201/5000][30/535][20392] Loss_D: -0.034878 Loss_G: 0.029373 Loss_D_real: -0.036248 Loss_D_fake -0.001371
[201/5000][35/535][20393] Loss_D: -0.038717 Loss_G: 0.022462 Loss_D_real: -0.030108 Loss_D_fake 0.008608
[201/5000][40/535][20394] Loss_D: -0.038964 Loss_G: 0.029113 Loss_D_real: -0.031182 Loss_D_fake 0.007782
[201/5000][45/535][20395] Loss_D: -0.038441 Loss_G: 0.039543 Loss_D_real: -0.044428 Loss_D_fake -0.005987
[201/5000][50/535][20396] Loss_D: -0.039060 Loss_G: 0.022427 Loss_D_real: -0.020738 Loss_D_fake 0.018322
[201/5000][55/535][20397] Loss_D: -0.039086 Loss_G: 0.013925 Loss_D_real: -0.028156 Loss_D_fake 0.010931
[201/5000][60/535][20398] Loss_D: -0.039467 Loss_G: 0.033352 Loss_D_real: -0.033930 Loss_D_fake 0.005536
[201/5000][65/535][20399] Loss_D: -0.039289 Loss_G: 0.004663 Loss_D_real: -0.017719 Loss_D_fake 0.021571
[201/5000][70/535][20400] Loss_D: -0.036970 Loss_G: 0.020345 Loss_D_real: -0.023657 Loss_D_fake 0.013312
[201/5000][75/535][20401] Loss_D: -0.039594 Loss_G: 0.029705 Loss_D_real: -0.027416 Loss_D_fake 0.012178
[201/5000][80/535][20402] Loss_D: -0.037516 Loss_G: 0.027944 Loss_D_real: -0.038879 Loss_D_fake -0.001363
[201/5000][85/535][20403] Loss_D: -0.038150 Loss_G: 0.037214 Loss_D_real: -0.039233 Loss_D_fake -0.001082
[201/5000][90/535][20404] Loss_D: -0.038127 Loss_G: 0.007092 Loss_D_real: -0.015382 Loss_D_fake 0.022746
[201/5000][95/535][20405] Loss_D: -0.037495 Loss_G: 0.011927 Loss_D_real: -0.014557 Loss_D_fake 0.022938
[201/5000][100/535][20406] Loss_D: -0.036065 Loss_G: 0.003522 Loss_D_real: -0.015270 Loss_D_fake 0.020795
[201/5000][105/535][20407] Loss_D: -0.036503 Loss_G: 0.026529 Loss_D_real: -0.028499 Loss_D_fake 0.008004
[201/5000][110/535][20408] Loss_D: -0.036554 Loss_G: -0.005810 Loss_D_real: -0.012960 Loss_D_fake 0.023594
[201/5000][115/535][20409] Loss_D: -0.036090 Loss_G: 0.031314 Loss_D_real: -0.034257 Loss_D_fake 0.001833
[201/5000][120/535][20410] Loss_D: -0.037348 Loss_G: 0.002661 Loss_D_real: -0.015890 Loss_D_fake 0.021459
[201/5000][125/535][20411] Loss_D: -0.037099 Loss_G: 0.027085 Loss_D_real: -0.033997 Loss_D_fake 0.003101
[201/5000][130/535][20412] Loss_D: -0.037569 Loss_G: 0.031307 Loss_D_real: -0.033103 Loss_D_fake 0.004466
[201/5000][135/535][20413] Loss_D: -0.037327 Loss_G: 0.012965 Loss_D_real: -0.017227 Loss_D_fake 0.020099
[201/5000][140/535][20414] Loss_D: -0.038421 Loss_G: 0.006246 Loss_D_real: -0.019873 Loss_D_fake 0.018548
[201/5000][145/535][20415] Loss_D: -0.038838 Loss_G: 0.026374 Loss_D_real: -0.031040 Loss_D_fake 0.007798
[201/5000][150/535][20416] Loss_D: -0.039270 Loss_G: 0.010181 Loss_D_real: -0.021772 Loss_D_fake 0.017498
[201/5000][155/535][20417] Loss_D: -0.037324 Loss_G: 0.036308 Loss_D_real: -0.038300 Loss_D_fake -0.000976
[201/5000][160/535][20418] Loss_D: -0.038760 Loss_G: 0.032281 Loss_D_real: -0.027977 Loss_D_fake 0.010783
[201/5000][165/535][20419] Loss_D: -0.036970 Loss_G: 0.002840 Loss_D_real: -0.011172 Loss_D_fake 0.025797
[201/5000][170/535][20420] Loss_D: -0.036702 Loss_G: 0.033534 Loss_D_real: -0.042038 Loss_D_fake -0.005336
[201/5000][175/535][20421] Loss_D: -0.036445 Loss_G: 0.003766 Loss_D_real: -0.017661 Loss_D_fake 0.018784
[201/5000][180/535][20422] Loss_D: -0.036429 Loss_G: 0.020110 Loss_D_real: -0.027061 Loss_D_fake 0.009368
[201/5000][185/535][20423] Loss_D: -0.036474 Loss_G: 0.029562 Loss_D_real: -0.026675 Loss_D_fake 0.009799
[201/5000][190/535][20424] Loss_D: -0.038489 Loss_G: 0.015452 Loss_D_real: -0.021750 Loss_D_fake 0.016739
[201/5000][195/535][20425] Loss_D: -0.038725 Loss_G: 0.023895 Loss_D_real: -0.029046 Loss_D_fake 0.009679
[201/5000][200/535][20426] Loss_D: -0.037620 Loss_G: 0.026394 Loss_D_real: -0.028591 Loss_D_fake 0.009029
[201/5000][205/535][20427] Loss_D: -0.037919 Loss_G: 0.005168 Loss_D_real: -0.020313 Loss_D_fake 0.017606
[201/5000][210/535][20428] Loss_D: -0.037490 Loss_G: 0.017958 Loss_D_real: -0.029590 Loss_D_fake 0.007901
[201/5000][215/535][20429] Loss_D: -0.036999 Loss_G: 0.010657 Loss_D_real: -0.015137 Loss_D_fake 0.021862
[201/5000][220/535][20430] Loss_D: -0.036267 Loss_G: 0.030714 Loss_D_real: -0.031204 Loss_D_fake 0.005063
[201/5000][225/535][20431] Loss_D: -0.036095 Loss_G: 0.004235 Loss_D_real: -0.015791 Loss_D_fake 0.020304
[201/5000][230/535][20432] Loss_D: -0.035939 Loss_G: 0.046012 Loss_D_real: -0.035678 Loss_D_fake 0.000262
[201/5000][235/535][20433] Loss_D: -0.034544 Loss_G: -0.012720 Loss_D_real: -0.009694 Loss_D_fake 0.024850
[201/5000][240/535][20434] Loss_D: -0.036651 Loss_G: 0.037758 Loss_D_real: -0.034495 Loss_D_fake 0.002156
[201/5000][245/535][20435] Loss_D: -0.035814 Loss_G: 0.010758 Loss_D_real: -0.019467 Loss_D_fake 0.016347
[201/5000][250/535][20436] Loss_D: -0.039006 Loss_G: 0.025602 Loss_D_real: -0.030793 Loss_D_fake 0.008212
[201/5000][255/535][20437] Loss_D: -0.036636 Loss_G: 0.014604 Loss_D_real: -0.019883 Loss_D_fake 0.016753
[201/5000][260/535][20438] Loss_D: -0.037894 Loss_G: 0.022074 Loss_D_real: -0.026574 Loss_D_fake 0.011321
[201/5000][265/535][20439] Loss_D: -0.038685 Loss_G: 0.016011 Loss_D_real: -0.024003 Loss_D_fake 0.014683
[201/5000][270/535][20440] Loss_D: -0.038875 Loss_G: 0.021453 Loss_D_real: -0.024146 Loss_D_fake 0.014730
[201/5000][275/535][20441] Loss_D: -0.037465 Loss_G: 0.017442 Loss_D_real: -0.028049 Loss_D_fake 0.009416
[201/5000][280/535][20442] Loss_D: -0.036887 Loss_G: 0.034919 Loss_D_real: -0.030608 Loss_D_fake 0.006279
[201/5000][285/535][20443] Loss_D: -0.039303 Loss_G: 0.004330 Loss_D_real: -0.021889 Loss_D_fake 0.017415
[201/5000][290/535][20444] Loss_D: -0.036979 Loss_G: 0.037743 Loss_D_real: -0.043113 Loss_D_fake -0.006134
[201/5000][295/535][20445] Loss_D: -0.037045 Loss_G: -0.019068 Loss_D_real: -0.000698 Loss_D_fake 0.036347
[201/5000][300/535][20446] Loss_D: -0.034559 Loss_G: 0.033405 Loss_D_real: -0.039186 Loss_D_fake -0.004628
[201/5000][305/535][20447] Loss_D: -0.036305 Loss_G: 0.024172 Loss_D_real: -0.030788 Loss_D_fake 0.005518
[201/5000][310/535][20448] Loss_D: -0.037416 Loss_G: 0.002520 Loss_D_real: -0.010690 Loss_D_fake 0.026726
[201/5000][315/535][20449] Loss_D: -0.035516 Loss_G: 0.040374 Loss_D_real: -0.049353 Loss_D_fake -0.013837
[201/5000][320/535][20450] Loss_D: -0.036482 Loss_G: -0.004788 Loss_D_real: -0.003085 Loss_D_fake 0.033397
[201/5000][325/535][20451] Loss_D: -0.038072 Loss_G: 0.025993 Loss_D_real: -0.026846 Loss_D_fake 0.011226
[201/5000][330/535][20452] Loss_D: -0.037525 Loss_G: 0.007007 Loss_D_real: -0.021005 Loss_D_fake 0.016520
[201/5000][335/535][20453] Loss_D: -0.036001 Loss_G: 0.036820 Loss_D_real: -0.041428 Loss_D_fake -0.005428
[201/5000][340/535][20454] Loss_D: -0.039727 Loss_G: 0.027793 Loss_D_real: -0.033449 Loss_D_fake 0.006278
[201/5000][345/535][20455] Loss_D: -0.036692 Loss_G: 0.030813 Loss_D_real: -0.035459 Loss_D_fake 0.001233
[201/5000][350/535][20456] Loss_D: -0.036904 Loss_G: 0.021490 Loss_D_real: -0.029944 Loss_D_fake 0.006959
[201/5000][355/535][20457] Loss_D: -0.037128 Loss_G: 0.031551 Loss_D_real: -0.032551 Loss_D_fake 0.004577
[201/5000][360/535][20458] Loss_D: -0.037925 Loss_G: 0.006922 Loss_D_real: -0.022894 Loss_D_fake 0.015030
[201/5000][365/535][20459] Loss_D: -0.036890 Loss_G: 0.022676 Loss_D_real: -0.028118 Loss_D_fake 0.008771
[201/5000][370/535][20460] Loss_D: -0.038647 Loss_G: -0.000064 Loss_D_real: -0.018306 Loss_D_fake 0.020341
[201/5000][375/535][20461] Loss_D: -0.035980 Loss_G: 0.037257 Loss_D_real: -0.043395 Loss_D_fake -0.007416
[201/5000][380/535][20462] Loss_D: -0.037932 Loss_G: 0.009651 Loss_D_real: -0.014470 Loss_D_fake 0.023463
[201/5000][385/535][20463] Loss_D: -0.035831 Loss_G: 0.007955 Loss_D_real: -0.011942 Loss_D_fake 0.023889
[201/5000][390/535][20464] Loss_D: -0.037914 Loss_G: 0.027879 Loss_D_real: -0.027052 Loss_D_fake 0.010862
[201/5000][395/535][20465] Loss_D: -0.036659 Loss_G: 0.006987 Loss_D_real: -0.011984 Loss_D_fake 0.024674
[201/5000][400/535][20466] Loss_D: -0.038105 Loss_G: 0.007877 Loss_D_real: -0.017154 Loss_D_fake 0.020951
[201/5000][405/535][20467] Loss_D: -0.035692 Loss_G: -0.000077 Loss_D_real: -0.011285 Loss_D_fake 0.024407
[201/5000][410/535][20468] Loss_D: -0.035375 Loss_G: 0.037318 Loss_D_real: -0.042562 Loss_D_fake -0.007187
[201/5000][415/535][20469] Loss_D: -0.038470 Loss_G: 0.036607 Loss_D_real: -0.039663 Loss_D_fake -0.001193
[201/5000][420/535][20470] Loss_D: -0.037312 Loss_G: 0.022044 Loss_D_real: -0.022223 Loss_D_fake 0.015089
[201/5000][425/535][20471] Loss_D: -0.038487 Loss_G: 0.034649 Loss_D_real: -0.033957 Loss_D_fake 0.004530
[201/5000][430/535][20472] Loss_D: -0.039044 Loss_G: 0.022519 Loss_D_real: -0.023992 Loss_D_fake 0.015052
[201/5000][435/535][20473] Loss_D: -0.039415 Loss_G: 0.042712 Loss_D_real: -0.036422 Loss_D_fake 0.002993
[201/5000][440/535][20474] Loss_D: -0.037957 Loss_G: 0.001264 Loss_D_real: -0.017776 Loss_D_fake 0.020180
[201/5000][445/535][20475] Loss_D: -0.037033 Loss_G: 0.022385 Loss_D_real: -0.028509 Loss_D_fake 0.008524
[201/5000][450/535][20476] Loss_D: -0.039178 Loss_G: 0.031183 Loss_D_real: -0.036149 Loss_D_fake 0.003029
[201/5000][455/535][20477] Loss_D: -0.038116 Loss_G: 0.002823 Loss_D_real: -0.014417 Loss_D_fake 0.023699
[201/5000][460/535][20478] Loss_D: -0.035724 Loss_G: 0.039185 Loss_D_real: -0.042778 Loss_D_fake -0.007054
[201/5000][465/535][20479] Loss_D: -0.037747 Loss_G: -0.002028 Loss_D_real: -0.010852 Loss_D_fake 0.026896
[201/5000][470/535][20480] Loss_D: -0.036821 Loss_G: 0.024696 Loss_D_real: -0.031211 Loss_D_fake 0.005610
[201/5000][475/535][20481] Loss_D: -0.037291 Loss_G: 0.004183 Loss_D_real: -0.008223 Loss_D_fake 0.029068
[201/5000][480/535][20482] Loss_D: -0.037069 Loss_G: 0.006174 Loss_D_real: -0.013045 Loss_D_fake 0.024024
[201/5000][485/535][20483] Loss_D: -0.037331 Loss_G: 0.024739 Loss_D_real: -0.024167 Loss_D_fake 0.013165
[201/5000][490/535][20484] Loss_D: -0.035987 Loss_G: 0.019295 Loss_D_real: -0.028567 Loss_D_fake 0.007421
[201/5000][495/535][20485] Loss_D: -0.038633 Loss_G: 0.015104 Loss_D_real: -0.021330 Loss_D_fake 0.017303
[201/5000][500/535][20486] Loss_D: -0.036860 Loss_G: 0.029784 Loss_D_real: -0.027195 Loss_D_fake 0.009665
[201/5000][505/535][20487] Loss_D: -0.038034 Loss_G: 0.028636 Loss_D_real: -0.028947 Loss_D_fake 0.009087
[201/5000][510/535][20488] Loss_D: -0.036465 Loss_G: -0.009439 Loss_D_real: -0.001459 Loss_D_fake 0.035006
[201/5000][515/535][20489] Loss_D: -0.037710 Loss_G: 0.030134 Loss_D_real: -0.040052 Loss_D_fake -0.002342
[201/5000][520/535][20490] Loss_D: -0.037310 Loss_G: -0.000296 Loss_D_real: -0.017589 Loss_D_fake 0.019721
[201/5000][525/535][20491] Loss_D: -0.037851 Loss_G: 0.020634 Loss_D_real: -0.034242 Loss_D_fake 0.003609
[201/5000][530/535][20492] Loss_D: -0.038237 Loss_G: 0.022899 Loss_D_real: -0.031548 Loss_D_fake 0.006689
[201/5000][535/535][20493] Loss_D: -0.037353 Loss_G: 0.047275 Loss_D_real: -0.039491 Loss_D_fake -0.002138
[202/5000][5/535][20494] Loss_D: -0.037865 Loss_G: -0.002315 Loss_D_real: -0.006380 Loss_D_fake 0.031485
[202/5000][10/535][20495] Loss_D: -0.036493 Loss_G: 0.024813 Loss_D_real: -0.042852 Loss_D_fake -0.006359
[202/5000][15/535][20496] Loss_D: -0.037212 Loss_G: 0.018324 Loss_D_real: -0.019227 Loss_D_fake 0.017986
[202/5000][20/535][20497] Loss_D: -0.036965 Loss_G: 0.022612 Loss_D_real: -0.032948 Loss_D_fake 0.004017
[202/5000][25/535][20498] Loss_D: -0.035466 Loss_G: 0.027570 Loss_D_real: -0.023724 Loss_D_fake 0.011742
[202/5000][30/535][20499] Loss_D: -0.036220 Loss_G: 0.007893 Loss_D_real: -0.013192 Loss_D_fake 0.023028
[202/5000][35/535][20500] Loss_D: -0.037407 Loss_G: 0.022177 Loss_D_real: -0.032845 Loss_D_fake 0.004561
[202/5000][135/535][20501] Loss_D: -0.037570 Loss_G: 0.027384 Loss_D_real: -0.033418 Loss_D_fake 0.004152
[202/5000][140/535][20502] Loss_D: -0.037466 Loss_G: 0.027035 Loss_D_real: -0.028679 Loss_D_fake 0.008787
[202/5000][145/535][20503] Loss_D: -0.038112 Loss_G: 0.011843 Loss_D_real: -0.021763 Loss_D_fake 0.016349
[202/5000][150/535][20504] Loss_D: -0.034555 Loss_G: 0.040497 Loss_D_real: -0.039332 Loss_D_fake -0.004777
[202/5000][155/535][20505] Loss_D: -0.036633 Loss_G: 0.005076 Loss_D_real: -0.011676 Loss_D_fake 0.024958
[202/5000][160/535][20506] Loss_D: -0.035883 Loss_G: 0.028408 Loss_D_real: -0.032653 Loss_D_fake 0.003230
[202/5000][165/535][20507] Loss_D: -0.035835 Loss_G: 0.016045 Loss_D_real: -0.025575 Loss_D_fake 0.010260
[202/5000][170/535][20508] Loss_D: -0.037020 Loss_G: 0.030586 Loss_D_real: -0.033129 Loss_D_fake 0.003892
[202/5000][175/535][20509] Loss_D: -0.036829 Loss_G: 0.009651 Loss_D_real: -0.021107 Loss_D_fake 0.015722
[202/5000][180/535][20510] Loss_D: -0.036575 Loss_G: 0.013783 Loss_D_real: -0.021251 Loss_D_fake 0.015324
[202/5000][185/535][20511] Loss_D: -0.036353 Loss_G: 0.020786 Loss_D_real: -0.027757 Loss_D_fake 0.008596
[202/5000][190/535][20512] Loss_D: -0.036862 Loss_G: 0.021579 Loss_D_real: -0.032407 Loss_D_fake 0.004455
[202/5000][195/535][20513] Loss_D: -0.037959 Loss_G: 0.002149 Loss_D_real: -0.016752 Loss_D_fake 0.021207
[202/5000][200/535][20514] Loss_D: -0.036482 Loss_G: 0.036972 Loss_D_real: -0.040514 Loss_D_fake -0.004031
[202/5000][205/535][20515] Loss_D: -0.034750 Loss_G: 0.005893 Loss_D_real: -0.014303 Loss_D_fake 0.020447
[202/5000][210/535][20516] Loss_D: -0.036436 Loss_G: 0.024477 Loss_D_real: -0.037169 Loss_D_fake -0.000734
[202/5000][215/535][20517] Loss_D: -0.038691 Loss_G: 0.011783 Loss_D_real: -0.022941 Loss_D_fake 0.015751
[202/5000][220/535][20518] Loss_D: -0.038506 Loss_G: 0.015372 Loss_D_real: -0.024675 Loss_D_fake 0.013831
[202/5000][225/535][20519] Loss_D: -0.037363 Loss_G: 0.007436 Loss_D_real: -0.013099 Loss_D_fake 0.024264
[202/5000][230/535][20520] Loss_D: -0.035525 Loss_G: 0.033776 Loss_D_real: -0.038792 Loss_D_fake -0.003266
[202/5000][235/535][20521] Loss_D: -0.036235 Loss_G: -0.014012 Loss_D_real: -0.003661 Loss_D_fake 0.032573
[202/5000][240/535][20522] Loss_D: -0.035985 Loss_G: 0.014715 Loss_D_real: -0.029001 Loss_D_fake 0.006984
[202/5000][245/535][20523] Loss_D: -0.036680 Loss_G: 0.001612 Loss_D_real: -0.011198 Loss_D_fake 0.025482
[202/5000][250/535][20524] Loss_D: -0.038394 Loss_G: 0.036271 Loss_D_real: -0.039545 Loss_D_fake -0.001151
[202/5000][255/535][20525] Loss_D: -0.037642 Loss_G: 0.009309 Loss_D_real: -0.021201 Loss_D_fake 0.016441
[202/5000][260/535][20526] Loss_D: -0.037734 Loss_G: 0.018816 Loss_D_real: -0.023851 Loss_D_fake 0.013883
[202/5000][265/535][20527] Loss_D: -0.036348 Loss_G: 0.023113 Loss_D_real: -0.028312 Loss_D_fake 0.008036
[202/5000][270/535][20528] Loss_D: -0.036335 Loss_G: 0.011785 Loss_D_real: -0.017469 Loss_D_fake 0.018867
[202/5000][275/535][20529] Loss_D: -0.034875 Loss_G: 0.043507 Loss_D_real: -0.048106 Loss_D_fake -0.013230
[202/5000][280/535][20530] Loss_D: -0.036511 Loss_G: 0.011532 Loss_D_real: -0.013084 Loss_D_fake 0.023426
[202/5000][285/535][20531] Loss_D: -0.033625 Loss_G: 0.034165 Loss_D_real: -0.042359 Loss_D_fake -0.008734
[202/5000][290/535][20532] Loss_D: -0.038454 Loss_G: 0.030632 Loss_D_real: -0.029984 Loss_D_fake 0.008470
[202/5000][295/535][20533] Loss_D: -0.039429 Loss_G: 0.006653 Loss_D_real: -0.017623 Loss_D_fake 0.021806
[202/5000][300/535][20534] Loss_D: -0.037195 Loss_G: 0.039203 Loss_D_real: -0.039546 Loss_D_fake -0.002351
[202/5000][305/535][20535] Loss_D: -0.038138 Loss_G: 0.003990 Loss_D_real: -0.010490 Loss_D_fake 0.027649
[202/5000][310/535][20536] Loss_D: -0.038477 Loss_G: 0.029082 Loss_D_real: -0.034686 Loss_D_fake 0.003791
[202/5000][315/535][20537] Loss_D: -0.039226 Loss_G: 0.016671 Loss_D_real: -0.020158 Loss_D_fake 0.019069
[202/5000][320/535][20538] Loss_D: -0.039976 Loss_G: 0.016839 Loss_D_real: -0.022886 Loss_D_fake 0.017090
[202/5000][325/535][20539] Loss_D: -0.038766 Loss_G: 0.017297 Loss_D_real: -0.024655 Loss_D_fake 0.014111
[202/5000][330/535][20540] Loss_D: -0.037579 Loss_G: 0.015542 Loss_D_real: -0.023714 Loss_D_fake 0.013865
[202/5000][335/535][20541] Loss_D: -0.037765 Loss_G: -0.017722 Loss_D_real: -0.004022 Loss_D_fake 0.033743
[202/5000][340/535][20542] Loss_D: -0.036337 Loss_G: 0.037172 Loss_D_real: -0.036668 Loss_D_fake -0.000331
[202/5000][345/535][20543] Loss_D: -0.038108 Loss_G: 0.003635 Loss_D_real: -0.007283 Loss_D_fake 0.030824
[202/5000][350/535][20544] Loss_D: -0.035424 Loss_G: 0.034814 Loss_D_real: -0.033105 Loss_D_fake 0.002320
[202/5000][355/535][20545] Loss_D: -0.036982 Loss_G: 0.009314 Loss_D_real: -0.017575 Loss_D_fake 0.019407
[202/5000][360/535][20546] Loss_D: -0.036388 Loss_G: 0.002479 Loss_D_real: -0.014597 Loss_D_fake 0.021792
[202/5000][365/535][20547] Loss_D: -0.037808 Loss_G: 0.007342 Loss_D_real: -0.019755 Loss_D_fake 0.018052
[202/5000][370/535][20548] Loss_D: -0.039425 Loss_G: 0.034407 Loss_D_real: -0.036582 Loss_D_fake 0.002843
[202/5000][375/535][20549] Loss_D: -0.038076 Loss_G: 0.015622 Loss_D_real: -0.018823 Loss_D_fake 0.019253
[202/5000][380/535][20550] Loss_D: -0.038836 Loss_G: 0.015807 Loss_D_real: -0.022227 Loss_D_fake 0.016609
[202/5000][385/535][20551] Loss_D: -0.038611 Loss_G: 0.015866 Loss_D_real: -0.019988 Loss_D_fake 0.018623
[202/5000][390/535][20552] Loss_D: -0.038764 Loss_G: 0.026297 Loss_D_real: -0.030109 Loss_D_fake 0.008655
[202/5000][395/535][20553] Loss_D: -0.036111 Loss_G: -0.017333 Loss_D_real: -0.007093 Loss_D_fake 0.029019
[202/5000][400/535][20554] Loss_D: -0.035124 Loss_G: 0.036981 Loss_D_real: -0.046869 Loss_D_fake -0.011746
[202/5000][405/535][20555] Loss_D: -0.037328 Loss_G: 0.005669 Loss_D_real: -0.020394 Loss_D_fake 0.016934
[202/5000][410/535][20556] Loss_D: -0.038832 Loss_G: 0.004035 Loss_D_real: -0.014215 Loss_D_fake 0.024617
[202/5000][415/535][20557] Loss_D: -0.037487 Loss_G: 0.042395 Loss_D_real: -0.036260 Loss_D_fake 0.001227
[202/5000][420/535][20558] Loss_D: -0.038389 Loss_G: 0.001696 Loss_D_real: -0.011970 Loss_D_fake 0.026418
[202/5000][425/535][20559] Loss_D: -0.038389 Loss_G: 0.015552 Loss_D_real: -0.022853 Loss_D_fake 0.015536
[202/5000][430/535][20560] Loss_D: -0.039982 Loss_G: 0.012579 Loss_D_real: -0.020112 Loss_D_fake 0.019870
[202/5000][435/535][20561] Loss_D: -0.037816 Loss_G: 0.043669 Loss_D_real: -0.044926 Loss_D_fake -0.007110
[202/5000][440/535][20562] Loss_D: -0.038829 Loss_G: 0.014017 Loss_D_real: -0.016043 Loss_D_fake 0.022786
[202/5000][445/535][20563] Loss_D: -0.036386 Loss_G: 0.012094 Loss_D_real: -0.013171 Loss_D_fake 0.023215
[202/5000][450/535][20564] Loss_D: -0.037601 Loss_G: 0.029474 Loss_D_real: -0.030949 Loss_D_fake 0.006653
[202/5000][455/535][20565] Loss_D: -0.037427 Loss_G: -0.014454 Loss_D_real: -0.002903 Loss_D_fake 0.034524
[202/5000][460/535][20566] Loss_D: -0.035479 Loss_G: 0.038075 Loss_D_real: -0.039327 Loss_D_fake -0.003848
[202/5000][465/535][20567] Loss_D: -0.036969 Loss_G: 0.015026 Loss_D_real: -0.022870 Loss_D_fake 0.014099
[202/5000][470/535][20568] Loss_D: -0.036310 Loss_G: 0.019565 Loss_D_real: -0.028319 Loss_D_fake 0.007992
[202/5000][475/535][20569] Loss_D: -0.038801 Loss_G: 0.017942 Loss_D_real: -0.027599 Loss_D_fake 0.011202
[202/5000][480/535][20570] Loss_D: -0.037753 Loss_G: 0.011565 Loss_D_real: -0.021625 Loss_D_fake 0.016127
[202/5000][485/535][20571] Loss_D: -0.037510 Loss_G: 0.006393 Loss_D_real: -0.018574 Loss_D_fake 0.018935
[202/5000][490/535][20572] Loss_D: -0.036183 Loss_G: 0.037868 Loss_D_real: -0.041628 Loss_D_fake -0.005445
[202/5000][495/535][20573] Loss_D: -0.038279 Loss_G: 0.023927 Loss_D_real: -0.027159 Loss_D_fake 0.011120
[202/5000][500/535][20574] Loss_D: -0.037802 Loss_G: -0.004219 Loss_D_real: -0.006896 Loss_D_fake 0.030906
[202/5000][505/535][20575] Loss_D: -0.036675 Loss_G: 0.030840 Loss_D_real: -0.033912 Loss_D_fake 0.002762
[202/5000][510/535][20576] Loss_D: -0.039240 Loss_G: 0.026324 Loss_D_real: -0.026517 Loss_D_fake 0.012722
[202/5000][515/535][20577] Loss_D: -0.038681 Loss_G: 0.023856 Loss_D_real: -0.030499 Loss_D_fake 0.008183
[202/5000][520/535][20578] Loss_D: -0.038138 Loss_G: 0.035481 Loss_D_real: -0.039689 Loss_D_fake -0.001551
[202/5000][525/535][20579] Loss_D: -0.040305 Loss_G: 0.025276 Loss_D_real: -0.022389 Loss_D_fake 0.017916
[202/5000][530/535][20580] Loss_D: -0.037934 Loss_G: 0.009692 Loss_D_real: -0.013663 Loss_D_fake 0.024271
[202/5000][535/535][20581] Loss_D: -0.038028 Loss_G: 0.043259 Loss_D_real: -0.033818 Loss_D_fake 0.004210
[203/5000][5/535][20582] Loss_D: -0.039142 Loss_G: 0.003169 Loss_D_real: -0.012825 Loss_D_fake 0.026318
[203/5000][10/535][20583] Loss_D: -0.038000 Loss_G: 0.024090 Loss_D_real: -0.027536 Loss_D_fake 0.010464
[203/5000][15/535][20584] Loss_D: -0.035535 Loss_G: -0.006666 Loss_D_real: 0.000807 Loss_D_fake 0.036341
[203/5000][20/535][20585] Loss_D: -0.035763 Loss_G: 0.021400 Loss_D_real: -0.029913 Loss_D_fake 0.005850
[203/5000][25/535][20586] Loss_D: -0.034643 Loss_G: 0.004974 Loss_D_real: -0.017551 Loss_D_fake 0.017093
[203/5000][30/535][20587] Loss_D: -0.035303 Loss_G: 0.024469 Loss_D_real: -0.029895 Loss_D_fake 0.005408
[203/5000][35/535][20588] Loss_D: -0.034706 Loss_G: -0.000862 Loss_D_real: -0.017172 Loss_D_fake 0.017533
[203/5000][40/535][20589] Loss_D: -0.037142 Loss_G: 0.033343 Loss_D_real: -0.038130 Loss_D_fake -0.000989
[203/5000][45/535][20590] Loss_D: -0.037373 Loss_G: 0.007813 Loss_D_real: -0.024071 Loss_D_fake 0.013301
[203/5000][50/535][20591] Loss_D: -0.035406 Loss_G: 0.031193 Loss_D_real: -0.032286 Loss_D_fake 0.003120
[203/5000][55/535][20592] Loss_D: -0.037726 Loss_G: 0.004441 Loss_D_real: -0.015926 Loss_D_fake 0.021801
[203/5000][60/535][20593] Loss_D: -0.037969 Loss_G: 0.030326 Loss_D_real: -0.034743 Loss_D_fake 0.003225
[203/5000][65/535][20594] Loss_D: -0.038309 Loss_G: 0.018422 Loss_D_real: -0.022810 Loss_D_fake 0.015499
[203/5000][70/535][20595] Loss_D: -0.037176 Loss_G: 0.020474 Loss_D_real: -0.030340 Loss_D_fake 0.006836
[203/5000][75/535][20596] Loss_D: -0.037596 Loss_G: 0.034821 Loss_D_real: -0.039910 Loss_D_fake -0.002314
[203/5000][80/535][20597] Loss_D: -0.036895 Loss_G: 0.000464 Loss_D_real: -0.016060 Loss_D_fake 0.020835
[203/5000][85/535][20598] Loss_D: -0.038159 Loss_G: 0.023399 Loss_D_real: -0.030900 Loss_D_fake 0.007260
[203/5000][90/535][20599] Loss_D: -0.037111 Loss_G: -0.002069 Loss_D_real: -0.008657 Loss_D_fake 0.028454
[203/5000][95/535][20600] Loss_D: -0.035485 Loss_G: 0.025681 Loss_D_real: -0.039356 Loss_D_fake -0.003871
[203/5000][100/535][20601] Loss_D: -0.036048 Loss_G: 0.014297 Loss_D_real: -0.017785 Loss_D_fake 0.018263
[203/5000][105/535][20602] Loss_D: -0.038401 Loss_G: 0.023914 Loss_D_real: -0.029150 Loss_D_fake 0.009251
[203/5000][110/535][20603] Loss_D: -0.036952 Loss_G: -0.011142 Loss_D_real: 0.001641 Loss_D_fake 0.038594
[203/5000][115/535][20604] Loss_D: -0.033721 Loss_G: 0.039863 Loss_D_real: -0.041604 Loss_D_fake -0.007883
[203/5000][120/535][20605] Loss_D: -0.037589 Loss_G: 0.006098 Loss_D_real: -0.014788 Loss_D_fake 0.022801
[203/5000][125/535][20606] Loss_D: -0.038153 Loss_G: 0.023951 Loss_D_real: -0.030180 Loss_D_fake 0.007973
[203/5000][130/535][20607] Loss_D: -0.036821 Loss_G: -0.012296 Loss_D_real: -0.001692 Loss_D_fake 0.035128
[203/5000][135/535][20608] Loss_D: -0.035365 Loss_G: 0.028044 Loss_D_real: -0.039691 Loss_D_fake -0.004326
[203/5000][140/535][20609] Loss_D: -0.037122 Loss_G: 0.001826 Loss_D_real: -0.016180 Loss_D_fake 0.020942
[203/5000][145/535][20610] Loss_D: -0.036589 Loss_G: 0.021883 Loss_D_real: -0.030536 Loss_D_fake 0.006053
[203/5000][150/535][20611] Loss_D: -0.036272 Loss_G: 0.029054 Loss_D_real: -0.026098 Loss_D_fake 0.010174
[203/5000][155/535][20612] Loss_D: -0.037314 Loss_G: -0.008267 Loss_D_real: -0.011800 Loss_D_fake 0.025514
[203/5000][160/535][20613] Loss_D: -0.036665 Loss_G: 0.026012 Loss_D_real: -0.038584 Loss_D_fake -0.001920
[203/5000][165/535][20614] Loss_D: -0.037323 Loss_G: 0.001001 Loss_D_real: -0.012882 Loss_D_fake 0.024441
[203/5000][170/535][20615] Loss_D: -0.036735 Loss_G: 0.034318 Loss_D_real: -0.039141 Loss_D_fake -0.002406
[203/5000][175/535][20616] Loss_D: -0.037095 Loss_G: 0.009392 Loss_D_real: -0.018412 Loss_D_fake 0.018684
[203/5000][180/535][20617] Loss_D: -0.038024 Loss_G: 0.028710 Loss_D_real: -0.034351 Loss_D_fake 0.003673
[203/5000][185/535][20618] Loss_D: -0.038363 Loss_G: 0.017811 Loss_D_real: -0.023778 Loss_D_fake 0.014585
[203/5000][190/535][20619] Loss_D: -0.033585 Loss_G: 0.048637 Loss_D_real: -0.050629 Loss_D_fake -0.017044
[203/5000][195/535][20620] Loss_D: -0.037879 Loss_G: 0.006839 Loss_D_real: -0.016117 Loss_D_fake 0.021761
[203/5000][200/535][20621] Loss_D: -0.037118 Loss_G: -0.000413 Loss_D_real: -0.011972 Loss_D_fake 0.025147
[203/5000][205/535][20622] Loss_D: -0.037227 Loss_G: 0.037543 Loss_D_real: -0.041957 Loss_D_fake -0.004729
[203/5000][210/535][20623] Loss_D: -0.037477 Loss_G: -0.004425 Loss_D_real: -0.002447 Loss_D_fake 0.035030
[203/5000][215/535][20624] Loss_D: -0.036306 Loss_G: 0.034931 Loss_D_real: -0.038634 Loss_D_fake -0.002329
[203/5000][220/535][20625] Loss_D: -0.038041 Loss_G: 0.011649 Loss_D_real: -0.017624 Loss_D_fake 0.020416
[203/5000][225/535][20626] Loss_D: -0.036984 Loss_G: 0.028374 Loss_D_real: -0.027546 Loss_D_fake 0.009439
[203/5000][230/535][20627] Loss_D: -0.036759 Loss_G: 0.023218 Loss_D_real: -0.026311 Loss_D_fake 0.010448
[203/5000][235/535][20628] Loss_D: -0.039611 Loss_G: 0.005050 Loss_D_real: -0.015647 Loss_D_fake 0.023964
[203/5000][240/535][20629] Loss_D: -0.036700 Loss_G: 0.039719 Loss_D_real: -0.041101 Loss_D_fake -0.004401
[203/5000][245/535][20630] Loss_D: -0.038042 Loss_G: 0.000053 Loss_D_real: -0.004800 Loss_D_fake 0.033242
[203/5000][250/535][20631] Loss_D: -0.035943 Loss_G: 0.034304 Loss_D_real: -0.035594 Loss_D_fake 0.000349
[203/5000][255/535][20632] Loss_D: -0.036261 Loss_G: -0.010940 Loss_D_real: -0.006177 Loss_D_fake 0.030084
[203/5000][260/535][20633] Loss_D: -0.035680 Loss_G: 0.026759 Loss_D_real: -0.029616 Loss_D_fake 0.006064
[203/5000][265/535][20634] Loss_D: -0.038236 Loss_G: 0.028421 Loss_D_real: -0.039386 Loss_D_fake -0.001151
[203/5000][270/535][20635] Loss_D: -0.038141 Loss_G: 0.030742 Loss_D_real: -0.033608 Loss_D_fake 0.004533
[203/5000][275/535][20636] Loss_D: -0.037126 Loss_G: 0.002974 Loss_D_real: -0.013711 Loss_D_fake 0.023414
[203/5000][280/535][20637] Loss_D: -0.037566 Loss_G: 0.000093 Loss_D_real: -0.015993 Loss_D_fake 0.021573
[203/5000][285/535][20638] Loss_D: -0.036585 Loss_G: 0.033986 Loss_D_real: -0.036144 Loss_D_fake 0.000441
[203/5000][290/535][20639] Loss_D: -0.036056 Loss_G: 0.031323 Loss_D_real: -0.033602 Loss_D_fake 0.002455
[203/5000][295/535][20640] Loss_D: -0.038299 Loss_G: 0.029539 Loss_D_real: -0.038726 Loss_D_fake -0.000427
[203/5000][300/535][20641] Loss_D: -0.038194 Loss_G: 0.002523 Loss_D_real: -0.021053 Loss_D_fake 0.017141
[203/5000][305/535][20642] Loss_D: -0.037806 Loss_G: 0.026914 Loss_D_real: -0.033276 Loss_D_fake 0.004530
[203/5000][310/535][20643] Loss_D: -0.038959 Loss_G: 0.023857 Loss_D_real: -0.025284 Loss_D_fake 0.013675
[203/5000][315/535][20644] Loss_D: -0.038251 Loss_G: 0.021332 Loss_D_real: -0.023224 Loss_D_fake 0.015028
[203/5000][320/535][20645] Loss_D: -0.038174 Loss_G: 0.009353 Loss_D_real: -0.022669 Loss_D_fake 0.015505
[203/5000][325/535][20646] Loss_D: -0.038350 Loss_G: 0.005004 Loss_D_real: -0.022483 Loss_D_fake 0.015866
[203/5000][330/535][20647] Loss_D: -0.038678 Loss_G: 0.022597 Loss_D_real: -0.022622 Loss_D_fake 0.016056
[203/5000][335/535][20648] Loss_D: -0.037421 Loss_G: 0.037265 Loss_D_real: -0.037010 Loss_D_fake 0.000410
[203/5000][340/535][20649] Loss_D: -0.037400 Loss_G: -0.001974 Loss_D_real: -0.012093 Loss_D_fake 0.025307
[203/5000][345/535][20650] Loss_D: -0.033130 Loss_G: 0.040742 Loss_D_real: -0.051439 Loss_D_fake -0.018309
[203/5000][350/535][20651] Loss_D: -0.037142 Loss_G: 0.028566 Loss_D_real: -0.027257 Loss_D_fake 0.009885
[203/5000][355/535][20652] Loss_D: -0.038392 Loss_G: 0.025328 Loss_D_real: -0.026674 Loss_D_fake 0.011718
[203/5000][360/535][20653] Loss_D: -0.037738 Loss_G: 0.004187 Loss_D_real: -0.020187 Loss_D_fake 0.017551
[203/5000][365/535][20654] Loss_D: -0.037638 Loss_G: 0.023333 Loss_D_real: -0.026374 Loss_D_fake 0.011264
[203/5000][370/535][20655] Loss_D: -0.036403 Loss_G: -0.000666 Loss_D_real: -0.021926 Loss_D_fake 0.014477
[203/5000][375/535][20656] Loss_D: -0.036902 Loss_G: 0.025227 Loss_D_real: -0.030857 Loss_D_fake 0.006045
[203/5000][380/535][20657] Loss_D: -0.036768 Loss_G: 0.005727 Loss_D_real: -0.015190 Loss_D_fake 0.021578
[203/5000][385/535][20658] Loss_D: -0.034459 Loss_G: 0.045976 Loss_D_real: -0.042928 Loss_D_fake -0.008469
[203/5000][390/535][20659] Loss_D: -0.039124 Loss_G: 0.009244 Loss_D_real: -0.016769 Loss_D_fake 0.022355
[203/5000][395/535][20660] Loss_D: -0.037012 Loss_G: 0.028735 Loss_D_real: -0.032288 Loss_D_fake 0.004724
[203/5000][400/535][20661] Loss_D: -0.037240 Loss_G: 0.021535 Loss_D_real: -0.026477 Loss_D_fake 0.010762
[203/5000][405/535][20662] Loss_D: -0.038217 Loss_G: 0.032074 Loss_D_real: -0.030598 Loss_D_fake 0.007619
[203/5000][410/535][20663] Loss_D: -0.035611 Loss_G: -0.006847 Loss_D_real: 0.002445 Loss_D_fake 0.038055
[203/5000][415/535][20664] Loss_D: -0.037006 Loss_G: 0.013427 Loss_D_real: -0.027916 Loss_D_fake 0.009090
[203/5000][420/535][20665] Loss_D: -0.036709 Loss_G: 0.022065 Loss_D_real: -0.031926 Loss_D_fake 0.004783
[203/5000][425/535][20666] Loss_D: -0.038051 Loss_G: 0.001117 Loss_D_real: -0.017316 Loss_D_fake 0.020735
[203/5000][430/535][20667] Loss_D: -0.036095 Loss_G: 0.042370 Loss_D_real: -0.038599 Loss_D_fake -0.002504
[203/5000][435/535][20668] Loss_D: -0.038520 Loss_G: 0.012230 Loss_D_real: -0.012976 Loss_D_fake 0.025544
[203/5000][440/535][20669] Loss_D: -0.036587 Loss_G: -0.000261 Loss_D_real: -0.013670 Loss_D_fake 0.022918
[203/5000][445/535][20670] Loss_D: -0.036257 Loss_G: 0.015450 Loss_D_real: -0.021090 Loss_D_fake 0.015167
[203/5000][450/535][20671] Loss_D: -0.036981 Loss_G: 0.005648 Loss_D_real: -0.016495 Loss_D_fake 0.020487
[203/5000][455/535][20672] Loss_D: -0.037509 Loss_G: 0.034509 Loss_D_real: -0.033025 Loss_D_fake 0.004484
[203/5000][460/535][20673] Loss_D: -0.037649 Loss_G: 0.040558 Loss_D_real: -0.038687 Loss_D_fake -0.001039
[203/5000][465/535][20674] Loss_D: -0.039171 Loss_G: 0.011418 Loss_D_real: -0.022301 Loss_D_fake 0.016870
[203/5000][470/535][20675] Loss_D: -0.037862 Loss_G: 0.013254 Loss_D_real: -0.018726 Loss_D_fake 0.019136
[203/5000][475/535][20676] Loss_D: -0.035619 Loss_G: 0.045443 Loss_D_real: -0.047951 Loss_D_fake -0.012332
[203/5000][480/535][20677] Loss_D: -0.036241 Loss_G: -0.002405 Loss_D_real: -0.011505 Loss_D_fake 0.024736
[203/5000][485/535][20678] Loss_D: -0.035227 Loss_G: 0.030771 Loss_D_real: -0.037385 Loss_D_fake -0.002158
[203/5000][490/535][20679] Loss_D: -0.037570 Loss_G: 0.007161 Loss_D_real: -0.014618 Loss_D_fake 0.022951
[203/5000][495/535][20680] Loss_D: -0.036794 Loss_G: 0.033402 Loss_D_real: -0.026788 Loss_D_fake 0.010005
[203/5000][500/535][20681] Loss_D: -0.038038 Loss_G: 0.004901 Loss_D_real: -0.018189 Loss_D_fake 0.019849
[203/5000][505/535][20682] Loss_D: -0.037932 Loss_G: 0.023013 Loss_D_real: -0.024741 Loss_D_fake 0.013191
[203/5000][510/535][20683] Loss_D: -0.037083 Loss_G: 0.024608 Loss_D_real: -0.032440 Loss_D_fake 0.004643
[203/5000][515/535][20684] Loss_D: -0.039233 Loss_G: -0.004323 Loss_D_real: -0.013589 Loss_D_fake 0.025644
[203/5000][520/535][20685] Loss_D: -0.036106 Loss_G: 0.019927 Loss_D_real: -0.027073 Loss_D_fake 0.009033
[203/5000][525/535][20686] Loss_D: -0.035179 Loss_G: 0.039750 Loss_D_real: -0.043237 Loss_D_fake -0.008057
[203/5000][530/535][20687] Loss_D: -0.036228 Loss_G: 0.004259 Loss_D_real: -0.016521 Loss_D_fake 0.019707
[203/5000][535/535][20688] Loss_D: -0.039034 Loss_G: 0.026627 Loss_D_real: -0.028370 Loss_D_fake 0.010664
[204/5000][5/535][20689] Loss_D: -0.039083 Loss_G: 0.025659 Loss_D_real: -0.030421 Loss_D_fake 0.008662
[204/5000][10/535][20690] Loss_D: -0.038513 Loss_G: -0.010133 Loss_D_real: -0.010064 Loss_D_fake 0.028448
[204/5000][15/535][20691] Loss_D: -0.035109 Loss_G: 0.035601 Loss_D_real: -0.039791 Loss_D_fake -0.004682
[204/5000][20/535][20692] Loss_D: -0.039064 Loss_G: 0.028111 Loss_D_real: -0.030129 Loss_D_fake 0.008935
[204/5000][25/535][20693] Loss_D: -0.037115 Loss_G: -0.009763 Loss_D_real: -0.004561 Loss_D_fake 0.032554
[204/5000][30/535][20694] Loss_D: -0.036321 Loss_G: 0.032558 Loss_D_real: -0.031368 Loss_D_fake 0.004953
[204/5000][35/535][20695] Loss_D: -0.036460 Loss_G: 0.004407 Loss_D_real: -0.015765 Loss_D_fake 0.020694
[204/5000][40/535][20696] Loss_D: -0.037435 Loss_G: 0.003738 Loss_D_real: -0.017773 Loss_D_fake 0.019661
[204/5000][45/535][20697] Loss_D: -0.038027 Loss_G: -0.002456 Loss_D_real: -0.015830 Loss_D_fake 0.022197
[204/5000][50/535][20698] Loss_D: -0.036402 Loss_G: 0.043599 Loss_D_real: -0.036036 Loss_D_fake 0.000366
[204/5000][55/535][20699] Loss_D: -0.037939 Loss_G: 0.009308 Loss_D_real: -0.018455 Loss_D_fake 0.019484
[204/5000][60/535][20700] Loss_D: -0.035809 Loss_G: 0.020822 Loss_D_real: -0.030316 Loss_D_fake 0.005493
[204/5000][65/535][20701] Loss_D: -0.036703 Loss_G: 0.000329 Loss_D_real: -0.011466 Loss_D_fake 0.025238
[204/5000][70/535][20702] Loss_D: -0.037408 Loss_G: 0.036512 Loss_D_real: -0.042304 Loss_D_fake -0.004896
[204/5000][75/535][20703] Loss_D: -0.038126 Loss_G: 0.000771 Loss_D_real: -0.016776 Loss_D_fake 0.021350
[204/5000][80/535][20704] Loss_D: -0.038115 Loss_G: 0.032785 Loss_D_real: -0.033241 Loss_D_fake 0.004874
[204/5000][85/535][20705] Loss_D: -0.036781 Loss_G: -0.000327 Loss_D_real: -0.004461 Loss_D_fake 0.032320
[204/5000][90/535][20706] Loss_D: -0.035758 Loss_G: 0.025224 Loss_D_real: -0.033843 Loss_D_fake 0.001914
[204/5000][95/535][20707] Loss_D: -0.036946 Loss_G: 0.023995 Loss_D_real: -0.020667 Loss_D_fake 0.016279
[204/5000][100/535][20708] Loss_D: -0.036084 Loss_G: 0.037888 Loss_D_real: -0.040056 Loss_D_fake -0.003972
[204/5000][105/535][20709] Loss_D: -0.038737 Loss_G: 0.017896 Loss_D_real: -0.018317 Loss_D_fake 0.020420
[204/5000][110/535][20710] Loss_D: -0.037159 Loss_G: 0.008208 Loss_D_real: -0.022566 Loss_D_fake 0.014593
[204/5000][115/535][20711] Loss_D: -0.038185 Loss_G: 0.025495 Loss_D_real: -0.028829 Loss_D_fake 0.009356
[204/5000][120/535][20712] Loss_D: -0.037517 Loss_G: 0.034278 Loss_D_real: -0.039147 Loss_D_fake -0.001630
[204/5000][125/535][20713] Loss_D: -0.039699 Loss_G: -0.007807 Loss_D_real: -0.013159 Loss_D_fake 0.026540
[204/5000][130/535][20714] Loss_D: -0.036220 Loss_G: 0.017300 Loss_D_real: -0.028700 Loss_D_fake 0.007520
[204/5000][135/535][20715] Loss_D: -0.038024 Loss_G: 0.022562 Loss_D_real: -0.023344 Loss_D_fake 0.014679
[204/5000][140/535][20716] Loss_D: -0.035599 Loss_G: 0.011246 Loss_D_real: -0.028898 Loss_D_fake 0.006701
[204/5000][145/535][20717] Loss_D: -0.038331 Loss_G: 0.024021 Loss_D_real: -0.031920 Loss_D_fake 0.006411
[204/5000][150/535][20718] Loss_D: -0.038957 Loss_G: -0.003349 Loss_D_real: -0.014821 Loss_D_fake 0.024136
[204/5000][155/535][20719] Loss_D: -0.037225 Loss_G: 0.029565 Loss_D_real: -0.038474 Loss_D_fake -0.001249
[204/5000][160/535][20720] Loss_D: -0.037282 Loss_G: 0.005614 Loss_D_real: -0.013453 Loss_D_fake 0.023830
[204/5000][165/535][20721] Loss_D: -0.038523 Loss_G: 0.025317 Loss_D_real: -0.031640 Loss_D_fake 0.006884
[204/5000][170/535][20722] Loss_D: -0.038125 Loss_G: 0.020969 Loss_D_real: -0.024341 Loss_D_fake 0.013784
[204/5000][175/535][20723] Loss_D: -0.037084 Loss_G: 0.029507 Loss_D_real: -0.032922 Loss_D_fake 0.004162
[204/5000][180/535][20724] Loss_D: -0.038508 Loss_G: 0.031877 Loss_D_real: -0.033918 Loss_D_fake 0.004591
[204/5000][185/535][20725] Loss_D: -0.038400 Loss_G: -0.008748 Loss_D_real: -0.007117 Loss_D_fake 0.031282
[204/5000][190/535][20726] Loss_D: -0.036440 Loss_G: 0.043863 Loss_D_real: -0.039993 Loss_D_fake -0.003553
[204/5000][195/535][20727] Loss_D: -0.037409 Loss_G: 0.019307 Loss_D_real: -0.025763 Loss_D_fake 0.011646
[204/5000][200/535][20728] Loss_D: -0.036630 Loss_G: 0.036941 Loss_D_real: -0.044687 Loss_D_fake -0.008057
[204/5000][205/535][20729] Loss_D: -0.036291 Loss_G: -0.008189 Loss_D_real: -0.008621 Loss_D_fake 0.027670
[204/5000][210/535][20730] Loss_D: -0.037812 Loss_G: 0.017745 Loss_D_real: -0.025374 Loss_D_fake 0.012438
[204/5000][215/535][20731] Loss_D: -0.038774 Loss_G: 0.020861 Loss_D_real: -0.026129 Loss_D_fake 0.012645
[204/5000][220/535][20732] Loss_D: -0.037558 Loss_G: 0.008407 Loss_D_real: -0.011356 Loss_D_fake 0.026202
[204/5000][225/535][20733] Loss_D: -0.037659 Loss_G: 0.031475 Loss_D_real: -0.037588 Loss_D_fake 0.000071
[204/5000][230/535][20734] Loss_D: -0.036831 Loss_G: 0.018267 Loss_D_real: -0.026491 Loss_D_fake 0.010339
[204/5000][235/535][20735] Loss_D: -0.036795 Loss_G: 0.005088 Loss_D_real: -0.013671 Loss_D_fake 0.023124
[204/5000][240/535][20736] Loss_D: -0.039448 Loss_G: 0.015679 Loss_D_real: -0.017926 Loss_D_fake 0.021521
[204/5000][245/535][20737] Loss_D: -0.038542 Loss_G: 0.027812 Loss_D_real: -0.026580 Loss_D_fake 0.011963
[204/5000][250/535][20738] Loss_D: -0.035833 Loss_G: 0.017791 Loss_D_real: -0.025800 Loss_D_fake 0.010033
[204/5000][255/535][20739] Loss_D: -0.037345 Loss_G: 0.027786 Loss_D_real: -0.034676 Loss_D_fake 0.002669
[204/5000][260/535][20740] Loss_D: -0.037425 Loss_G: 0.024830 Loss_D_real: -0.031053 Loss_D_fake 0.006373
[204/5000][265/535][20741] Loss_D: -0.036656 Loss_G: -0.008890 Loss_D_real: -0.006585 Loss_D_fake 0.030071
[204/5000][270/535][20742] Loss_D: -0.037165 Loss_G: 0.040549 Loss_D_real: -0.034885 Loss_D_fake 0.002280
[204/5000][275/535][20743] Loss_D: -0.036185 Loss_G: -0.010038 Loss_D_real: -0.003100 Loss_D_fake 0.033085
[204/5000][280/535][20744] Loss_D: -0.035259 Loss_G: 0.035268 Loss_D_real: -0.036756 Loss_D_fake -0.001496
[204/5000][285/535][20745] Loss_D: -0.037469 Loss_G: 0.008874 Loss_D_real: -0.016455 Loss_D_fake 0.021015
[204/5000][290/535][20746] Loss_D: -0.036029 Loss_G: 0.029113 Loss_D_real: -0.035056 Loss_D_fake 0.000973
[204/5000][295/535][20747] Loss_D: -0.037393 Loss_G: 0.010305 Loss_D_real: -0.018339 Loss_D_fake 0.019055
[204/5000][300/535][20748] Loss_D: -0.038500 Loss_G: 0.007041 Loss_D_real: -0.012950 Loss_D_fake 0.025549
[204/5000][305/535][20749] Loss_D: -0.038928 Loss_G: 0.014239 Loss_D_real: -0.021758 Loss_D_fake 0.017170
[204/5000][310/535][20750] Loss_D: -0.038896 Loss_G: 0.015353 Loss_D_real: -0.025018 Loss_D_fake 0.013878
[204/5000][315/535][20751] Loss_D: -0.036673 Loss_G: 0.042076 Loss_D_real: -0.039075 Loss_D_fake -0.002402
[204/5000][320/535][20752] Loss_D: -0.037107 Loss_G: -0.002736 Loss_D_real: -0.008946 Loss_D_fake 0.028161
[204/5000][325/535][20753] Loss_D: -0.036651 Loss_G: 0.017638 Loss_D_real: -0.029617 Loss_D_fake 0.007035
[204/5000][330/535][20754] Loss_D: -0.036009 Loss_G: 0.020711 Loss_D_real: -0.027576 Loss_D_fake 0.008433
[204/5000][335/535][20755] Loss_D: -0.037268 Loss_G: 0.004714 Loss_D_real: -0.016940 Loss_D_fake 0.020328
[204/5000][340/535][20756] Loss_D: -0.037904 Loss_G: 0.033474 Loss_D_real: -0.030609 Loss_D_fake 0.007295
[204/5000][345/535][20757] Loss_D: -0.038523 Loss_G: 0.000071 Loss_D_real: -0.011962 Loss_D_fake 0.026562
[204/5000][350/535][20758] Loss_D: -0.038686 Loss_G: 0.022845 Loss_D_real: -0.025101 Loss_D_fake 0.013585
[204/5000][355/535][20759] Loss_D: -0.035777 Loss_G: -0.007410 Loss_D_real: -0.003347 Loss_D_fake 0.032430
[204/5000][360/535][20760] Loss_D: -0.036442 Loss_G: 0.033289 Loss_D_real: -0.035813 Loss_D_fake 0.000628
[204/5000][365/535][20761] Loss_D: -0.036328 Loss_G: 0.027940 Loss_D_real: -0.026019 Loss_D_fake 0.010309
[204/5000][370/535][20762] Loss_D: -0.038142 Loss_G: -0.013491 Loss_D_real: -0.003156 Loss_D_fake 0.034986
[204/5000][375/535][20763] Loss_D: -0.036619 Loss_G: 0.020935 Loss_D_real: -0.032454 Loss_D_fake 0.004165
[204/5000][380/535][20764] Loss_D: -0.035842 Loss_G: 0.020177 Loss_D_real: -0.034446 Loss_D_fake 0.001396
[204/5000][385/535][20765] Loss_D: -0.038010 Loss_G: 0.019023 Loss_D_real: -0.030826 Loss_D_fake 0.007184
[204/5000][390/535][20766] Loss_D: -0.036547 Loss_G: 0.021565 Loss_D_real: -0.021091 Loss_D_fake 0.015456
[204/5000][395/535][20767] Loss_D: -0.036756 Loss_G: 0.024795 Loss_D_real: -0.035105 Loss_D_fake 0.001652
[204/5000][400/535][20768] Loss_D: -0.037030 Loss_G: 0.009531 Loss_D_real: -0.026197 Loss_D_fake 0.010833
[204/5000][405/535][20769] Loss_D: -0.038037 Loss_G: 0.014663 Loss_D_real: -0.022827 Loss_D_fake 0.015209
[204/5000][410/535][20770] Loss_D: -0.037196 Loss_G: 0.041010 Loss_D_real: -0.042342 Loss_D_fake -0.005146
[204/5000][415/535][20771] Loss_D: -0.037397 Loss_G: -0.003761 Loss_D_real: -0.003920 Loss_D_fake 0.033477
[204/5000][420/535][20772] Loss_D: -0.037681 Loss_G: 0.006157 Loss_D_real: -0.018903 Loss_D_fake 0.018777
[204/5000][425/535][20773] Loss_D: -0.035842 Loss_G: 0.039348 Loss_D_real: -0.038363 Loss_D_fake -0.002522
[204/5000][430/535][20774] Loss_D: -0.036425 Loss_G: 0.006286 Loss_D_real: -0.015395 Loss_D_fake 0.021030
[204/5000][435/535][20775] Loss_D: -0.037914 Loss_G: 0.018053 Loss_D_real: -0.028090 Loss_D_fake 0.009825
[204/5000][440/535][20776] Loss_D: -0.036608 Loss_G: 0.028839 Loss_D_real: -0.032008 Loss_D_fake 0.004600
[204/5000][445/535][20777] Loss_D: -0.038328 Loss_G: 0.030837 Loss_D_real: -0.031355 Loss_D_fake 0.006972
[204/5000][450/535][20778] Loss_D: -0.038167 Loss_G: -0.002932 Loss_D_real: -0.006861 Loss_D_fake 0.031306
[204/5000][455/535][20779] Loss_D: -0.036403 Loss_G: 0.018839 Loss_D_real: -0.032845 Loss_D_fake 0.003559
[204/5000][460/535][20780] Loss_D: -0.036518 Loss_G: 0.019162 Loss_D_real: -0.015109 Loss_D_fake 0.021409
[204/5000][465/535][20781] Loss_D: -0.038003 Loss_G: 0.026342 Loss_D_real: -0.029914 Loss_D_fake 0.008089
[204/5000][470/535][20782] Loss_D: -0.035691 Loss_G: 0.002257 Loss_D_real: -0.011380 Loss_D_fake 0.024311
[204/5000][475/535][20783] Loss_D: -0.037249 Loss_G: 0.013532 Loss_D_real: -0.016323 Loss_D_fake 0.020926
[204/5000][480/535][20784] Loss_D: -0.036551 Loss_G: 0.025120 Loss_D_real: -0.028716 Loss_D_fake 0.007835
[204/5000][485/535][20785] Loss_D: -0.036084 Loss_G: 0.026172 Loss_D_real: -0.023552 Loss_D_fake 0.012532
[204/5000][490/535][20786] Loss_D: -0.035539 Loss_G: 0.027201 Loss_D_real: -0.038957 Loss_D_fake -0.003418
[204/5000][495/535][20787] Loss_D: -0.037523 Loss_G: 0.007511 Loss_D_real: -0.013619 Loss_D_fake 0.023903
[204/5000][500/535][20788] Loss_D: -0.035351 Loss_G: 0.010249 Loss_D_real: -0.017542 Loss_D_fake 0.017809
[204/5000][505/535][20789] Loss_D: -0.036659 Loss_G: 0.035501 Loss_D_real: -0.041691 Loss_D_fake -0.005032
[204/5000][510/535][20790] Loss_D: -0.038933 Loss_G: -0.001150 Loss_D_real: -0.018855 Loss_D_fake 0.020078
[204/5000][515/535][20791] Loss_D: -0.036361 Loss_G: 0.039598 Loss_D_real: -0.036283 Loss_D_fake 0.000077
[204/5000][520/535][20792] Loss_D: -0.037212 Loss_G: 0.009334 Loss_D_real: -0.019306 Loss_D_fake 0.017906
[204/5000][525/535][20793] Loss_D: -0.034679 Loss_G: 0.042517 Loss_D_real: -0.044791 Loss_D_fake -0.010112
[204/5000][530/535][20794] Loss_D: -0.036658 Loss_G: -0.012356 Loss_D_real: 0.000001 Loss_D_fake 0.036659
[204/5000][535/535][20795] Loss_D: -0.035844 Loss_G: 0.023328 Loss_D_real: -0.024808 Loss_D_fake 0.011036
[205/5000][5/535][20796] Loss_D: -0.036203 Loss_G: 0.023940 Loss_D_real: -0.032763 Loss_D_fake 0.003441
[205/5000][10/535][20797] Loss_D: -0.037932 Loss_G: 0.014725 Loss_D_real: -0.022965 Loss_D_fake 0.014967
[205/5000][15/535][20798] Loss_D: -0.037782 Loss_G: 0.015603 Loss_D_real: -0.023449 Loss_D_fake 0.014333
[205/5000][20/535][20799] Loss_D: -0.036424 Loss_G: 0.007714 Loss_D_real: -0.023011 Loss_D_fake 0.013413
[205/5000][25/535][20800] Loss_D: -0.035625 Loss_G: 0.043786 Loss_D_real: -0.040015 Loss_D_fake -0.004390
[205/5000][30/535][20801] Loss_D: -0.036354 Loss_G: -0.006906 Loss_D_real: -0.007256 Loss_D_fake 0.029098
[205/5000][35/535][20802] Loss_D: -0.037263 Loss_G: 0.021543 Loss_D_real: -0.030679 Loss_D_fake 0.006584
[205/5000][40/535][20803] Loss_D: -0.038150 Loss_G: 0.033830 Loss_D_real: -0.030647 Loss_D_fake 0.007503
[205/5000][45/535][20804] Loss_D: -0.035636 Loss_G: 0.021680 Loss_D_real: -0.020711 Loss_D_fake 0.014925
[205/5000][50/535][20805] Loss_D: -0.035297 Loss_G: 0.020553 Loss_D_real: -0.023613 Loss_D_fake 0.011685
[205/5000][55/535][20806] Loss_D: -0.038481 Loss_G: 0.012795 Loss_D_real: -0.026015 Loss_D_fake 0.012466
[205/5000][60/535][20807] Loss_D: -0.037963 Loss_G: 0.032967 Loss_D_real: -0.036424 Loss_D_fake 0.001539
[205/5000][65/535][20808] Loss_D: -0.036943 Loss_G: -0.013339 Loss_D_real: -0.007344 Loss_D_fake 0.029600
[205/5000][70/535][20809] Loss_D: -0.037563 Loss_G: 0.028716 Loss_D_real: -0.025216 Loss_D_fake 0.012348
[205/5000][75/535][20810] Loss_D: -0.037647 Loss_G: -0.003989 Loss_D_real: -0.017992 Loss_D_fake 0.019655
[205/5000][80/535][20811] Loss_D: -0.036484 Loss_G: 0.031902 Loss_D_real: -0.040548 Loss_D_fake -0.004064
[205/5000][85/535][20812] Loss_D: -0.038782 Loss_G: 0.014537 Loss_D_real: -0.022056 Loss_D_fake 0.016726
[205/5000][90/535][20813] Loss_D: -0.038076 Loss_G: 0.008320 Loss_D_real: -0.014719 Loss_D_fake 0.023357
[205/5000][95/535][20814] Loss_D: -0.038290 Loss_G: 0.038084 Loss_D_real: -0.032341 Loss_D_fake 0.005949
[205/5000][100/535][20815] Loss_D: -0.038467 Loss_G: -0.008013 Loss_D_real: -0.005627 Loss_D_fake 0.032840
[205/5000][105/535][20816] Loss_D: -0.035882 Loss_G: 0.030457 Loss_D_real: -0.025881 Loss_D_fake 0.010001
[205/5000][110/535][20817] Loss_D: -0.037596 Loss_G: 0.015360 Loss_D_real: -0.019070 Loss_D_fake 0.018526
[205/5000][115/535][20818] Loss_D: -0.037941 Loss_G: 0.022399 Loss_D_real: -0.026925 Loss_D_fake 0.011016
[205/5000][120/535][20819] Loss_D: -0.038187 Loss_G: 0.032887 Loss_D_real: -0.037337 Loss_D_fake 0.000850
[205/5000][125/535][20820] Loss_D: -0.036980 Loss_G: -0.013106 Loss_D_real: -0.001889 Loss_D_fake 0.035091
[205/5000][130/535][20821] Loss_D: -0.035563 Loss_G: 0.028436 Loss_D_real: -0.039651 Loss_D_fake -0.004087
[205/5000][135/535][20822] Loss_D: -0.037131 Loss_G: -0.005416 Loss_D_real: -0.008515 Loss_D_fake 0.028616
[205/5000][140/535][20823] Loss_D: -0.035201 Loss_G: 0.005410 Loss_D_real: -0.015434 Loss_D_fake 0.019767
[205/5000][145/535][20824] Loss_D: -0.035393 Loss_G: 0.008561 Loss_D_real: -0.023795 Loss_D_fake 0.011597
[205/5000][150/535][20825] Loss_D: -0.036950 Loss_G: 0.011419 Loss_D_real: -0.024912 Loss_D_fake 0.012038
[205/5000][155/535][20826] Loss_D: -0.038502 Loss_G: 0.036756 Loss_D_real: -0.033322 Loss_D_fake 0.005181
[205/5000][160/535][20827] Loss_D: -0.038156 Loss_G: 0.015973 Loss_D_real: -0.022890 Loss_D_fake 0.015266
[205/5000][165/535][20828] Loss_D: -0.037588 Loss_G: 0.001407 Loss_D_real: -0.017115 Loss_D_fake 0.020473
[205/5000][170/535][20829] Loss_D: -0.036651 Loss_G: 0.040227 Loss_D_real: -0.047403 Loss_D_fake -0.010752
[205/5000][175/535][20830] Loss_D: -0.036247 Loss_G: -0.004640 Loss_D_real: -0.006064 Loss_D_fake 0.030183
[205/5000][180/535][20831] Loss_D: -0.036597 Loss_G: 0.038284 Loss_D_real: -0.040693 Loss_D_fake -0.004096
[205/5000][185/535][20832] Loss_D: -0.036057 Loss_G: -0.011550 Loss_D_real: -0.011544 Loss_D_fake 0.024513
[205/5000][190/535][20833] Loss_D: -0.037257 Loss_G: 0.025491 Loss_D_real: -0.034161 Loss_D_fake 0.003095
[205/5000][195/535][20834] Loss_D: -0.038628 Loss_G: 0.012706 Loss_D_real: -0.023770 Loss_D_fake 0.014858
[205/5000][200/535][20835] Loss_D: -0.035783 Loss_G: 0.001780 Loss_D_real: -0.011237 Loss_D_fake 0.024547
[205/5000][205/535][20836] Loss_D: -0.035548 Loss_G: 0.026133 Loss_D_real: -0.032417 Loss_D_fake 0.003131
[205/5000][210/535][20837] Loss_D: -0.037924 Loss_G: 0.032924 Loss_D_real: -0.027887 Loss_D_fake 0.010037
[205/5000][215/535][20838] Loss_D: -0.036899 Loss_G: 0.001682 Loss_D_real: -0.012400 Loss_D_fake 0.024499
[205/5000][220/535][20839] Loss_D: -0.036024 Loss_G: 0.035217 Loss_D_real: -0.041199 Loss_D_fake -0.005174
[205/5000][225/535][20840] Loss_D: -0.034783 Loss_G: 0.040305 Loss_D_real: -0.043736 Loss_D_fake -0.008953
[205/5000][230/535][20841] Loss_D: -0.036909 Loss_G: 0.011030 Loss_D_real: -0.023008 Loss_D_fake 0.013902
[205/5000][235/535][20842] Loss_D: -0.038089 Loss_G: 0.015456 Loss_D_real: -0.024726 Loss_D_fake 0.013362
[205/5000][240/535][20843] Loss_D: -0.036184 Loss_G: 0.041002 Loss_D_real: -0.040861 Loss_D_fake -0.004678
[205/5000][245/535][20844] Loss_D: -0.038879 Loss_G: 0.014836 Loss_D_real: -0.021630 Loss_D_fake 0.017250
[205/5000][250/535][20845] Loss_D: -0.036918 Loss_G: 0.000182 Loss_D_real: -0.016818 Loss_D_fake 0.020100
[205/5000][255/535][20846] Loss_D: -0.036707 Loss_G: 0.041578 Loss_D_real: -0.041112 Loss_D_fake -0.004405
[205/5000][260/535][20847] Loss_D: -0.038192 Loss_G: 0.005766 Loss_D_real: -0.012739 Loss_D_fake 0.025453
[205/5000][265/535][20848] Loss_D: -0.038407 Loss_G: 0.023858 Loss_D_real: -0.026691 Loss_D_fake 0.011716
[205/5000][270/535][20849] Loss_D: -0.039319 Loss_G: 0.005396 Loss_D_real: -0.017082 Loss_D_fake 0.022237
[205/5000][275/535][20850] Loss_D: -0.037004 Loss_G: 0.037097 Loss_D_real: -0.044971 Loss_D_fake -0.007967
[205/5000][280/535][20851] Loss_D: -0.037342 Loss_G: 0.007258 Loss_D_real: -0.007987 Loss_D_fake 0.029354
[205/5000][285/535][20852] Loss_D: -0.036404 Loss_G: 0.034676 Loss_D_real: -0.042436 Loss_D_fake -0.006032
[205/5000][290/535][20853] Loss_D: -0.038585 Loss_G: 0.019709 Loss_D_real: -0.026795 Loss_D_fake 0.011790
[205/5000][295/535][20854] Loss_D: -0.037421 Loss_G: 0.018111 Loss_D_real: -0.022900 Loss_D_fake 0.014521
[205/5000][300/535][20855] Loss_D: -0.036663 Loss_G: 0.006198 Loss_D_real: -0.015495 Loss_D_fake 0.021168
[205/5000][305/535][20856] Loss_D: -0.035626 Loss_G: 0.034667 Loss_D_real: -0.038021 Loss_D_fake -0.002395
[205/5000][310/535][20857] Loss_D: -0.036025 Loss_G: 0.019439 Loss_D_real: -0.025887 Loss_D_fake 0.010138
[205/5000][315/535][20858] Loss_D: -0.038171 Loss_G: 0.017115 Loss_D_real: -0.026519 Loss_D_fake 0.011652
[205/5000][320/535][20859] Loss_D: -0.037348 Loss_G: 0.019963 Loss_D_real: -0.025177 Loss_D_fake 0.012171
[205/5000][325/535][20860] Loss_D: -0.038251 Loss_G: 0.023502 Loss_D_real: -0.028537 Loss_D_fake 0.009714
[205/5000][330/535][20861] Loss_D: -0.037322 Loss_G: 0.011853 Loss_D_real: -0.023089 Loss_D_fake 0.014232
[205/5000][335/535][20862] Loss_D: -0.035379 Loss_G: 0.011819 Loss_D_real: -0.020512 Loss_D_fake 0.014867
[205/5000][340/535][20863] Loss_D: -0.038796 Loss_G: 0.008598 Loss_D_real: -0.020236 Loss_D_fake 0.018560
[205/5000][345/535][20864] Loss_D: -0.037494 Loss_G: 0.008557 Loss_D_real: -0.019853 Loss_D_fake 0.017641
[205/5000][350/535][20865] Loss_D: -0.036095 Loss_G: 0.000209 Loss_D_real: -0.011466 Loss_D_fake 0.024629
[205/5000][355/535][20866] Loss_D: -0.037250 Loss_G: 0.010531 Loss_D_real: -0.014182 Loss_D_fake 0.023067
[205/5000][360/535][20867] Loss_D: -0.035719 Loss_G: 0.041592 Loss_D_real: -0.037552 Loss_D_fake -0.001833
[205/5000][365/535][20868] Loss_D: -0.037884 Loss_G: 0.006517 Loss_D_real: -0.014225 Loss_D_fake 0.023660
[205/5000][370/535][20869] Loss_D: -0.037415 Loss_G: 0.034238 Loss_D_real: -0.037760 Loss_D_fake -0.000345
[205/5000][375/535][20870] Loss_D: -0.037081 Loss_G: -0.003591 Loss_D_real: -0.010117 Loss_D_fake 0.026963
[205/5000][380/535][20871] Loss_D: -0.036302 Loss_G: 0.030332 Loss_D_real: -0.035944 Loss_D_fake 0.000358
[205/5000][385/535][20872] Loss_D: -0.037576 Loss_G: 0.031760 Loss_D_real: -0.025661 Loss_D_fake 0.011915
[205/5000][390/535][20873] Loss_D: -0.035863 Loss_G: -0.008935 Loss_D_real: 0.001911 Loss_D_fake 0.037773
[205/5000][395/535][20874] Loss_D: -0.036419 Loss_G: 0.041966 Loss_D_real: -0.041447 Loss_D_fake -0.005028
[205/5000][400/535][20875] Loss_D: -0.037403 Loss_G: 0.008203 Loss_D_real: -0.018170 Loss_D_fake 0.019233
[205/5000][405/535][20876] Loss_D: -0.038121 Loss_G: 0.029227 Loss_D_real: -0.031594 Loss_D_fake 0.006527
[205/5000][410/535][20877] Loss_D: -0.037881 Loss_G: -0.007596 Loss_D_real: -0.011292 Loss_D_fake 0.026589
[205/5000][415/535][20878] Loss_D: -0.038018 Loss_G: 0.024841 Loss_D_real: -0.031965 Loss_D_fake 0.006053
[205/5000][420/535][20879] Loss_D: -0.037128 Loss_G: 0.002011 Loss_D_real: -0.004627 Loss_D_fake 0.032502
[205/5000][425/535][20880] Loss_D: -0.036063 Loss_G: 0.033232 Loss_D_real: -0.032486 Loss_D_fake 0.003577
[205/5000][430/535][20881] Loss_D: -0.037533 Loss_G: 0.003504 Loss_D_real: -0.016359 Loss_D_fake 0.021174
[205/5000][435/535][20882] Loss_D: -0.038128 Loss_G: 0.026342 Loss_D_real: -0.032225 Loss_D_fake 0.005903
[205/5000][440/535][20883] Loss_D: -0.038629 Loss_G: -0.005197 Loss_D_real: -0.005715 Loss_D_fake 0.032914
[205/5000][445/535][20884] Loss_D: -0.037541 Loss_G: 0.024701 Loss_D_real: -0.032384 Loss_D_fake 0.005157
[205/5000][450/535][20885] Loss_D: -0.038200 Loss_G: 0.025100 Loss_D_real: -0.035131 Loss_D_fake 0.003069
[205/5000][455/535][20886] Loss_D: -0.039857 Loss_G: 0.024617 Loss_D_real: -0.025090 Loss_D_fake 0.014767
[205/5000][460/535][20887] Loss_D: -0.037803 Loss_G: 0.035437 Loss_D_real: -0.034575 Loss_D_fake 0.003228
[205/5000][465/535][20888] Loss_D: -0.037674 Loss_G: 0.031620 Loss_D_real: -0.035393 Loss_D_fake 0.002281
[205/5000][470/535][20889] Loss_D: -0.038265 Loss_G: 0.032412 Loss_D_real: -0.032863 Loss_D_fake 0.005403
[205/5000][475/535][20890] Loss_D: -0.037205 Loss_G: 0.004058 Loss_D_real: -0.008835 Loss_D_fake 0.028369
[205/5000][480/535][20891] Loss_D: -0.038390 Loss_G: 0.018301 Loss_D_real: -0.029426 Loss_D_fake 0.008964
[205/5000][485/535][20892] Loss_D: -0.036740 Loss_G: 0.035153 Loss_D_real: -0.037030 Loss_D_fake -0.000290
[205/5000][490/535][20893] Loss_D: -0.038926 Loss_G: 0.002175 Loss_D_real: -0.012236 Loss_D_fake 0.026690
[205/5000][495/535][20894] Loss_D: -0.035595 Loss_G: 0.037492 Loss_D_real: -0.032401 Loss_D_fake 0.003193
[205/5000][500/535][20895] Loss_D: -0.037609 Loss_G: -0.000117 Loss_D_real: -0.012328 Loss_D_fake 0.025281
[205/5000][505/535][20896] Loss_D: -0.038727 Loss_G: 0.021721 Loss_D_real: -0.030647 Loss_D_fake 0.008080
[205/5000][510/535][20897] Loss_D: -0.039119 Loss_G: 0.011233 Loss_D_real: -0.019326 Loss_D_fake 0.019793
[205/5000][515/535][20898] Loss_D: -0.036745 Loss_G: 0.031908 Loss_D_real: -0.038322 Loss_D_fake -0.001577
[205/5000][520/535][20899] Loss_D: -0.036363 Loss_G: -0.005677 Loss_D_real: -0.006031 Loss_D_fake 0.030332
[205/5000][525/535][20900] Loss_D: -0.036591 Loss_G: 0.015769 Loss_D_real: -0.024832 Loss_D_fake 0.011759
[205/5000][530/535][20901] Loss_D: -0.036098 Loss_G: 0.006316 Loss_D_real: -0.013827 Loss_D_fake 0.022270
[205/5000][535/535][20902] Loss_D: -0.034777 Loss_G: 0.039931 Loss_D_real: -0.037363 Loss_D_fake -0.002586
[206/5000][5/535][20903] Loss_D: -0.036484 Loss_G: 0.002453 Loss_D_real: -0.018208 Loss_D_fake 0.018276
[206/5000][10/535][20904] Loss_D: -0.036955 Loss_G: 0.030843 Loss_D_real: -0.035259 Loss_D_fake 0.001696
[206/5000][15/535][20905] Loss_D: -0.036026 Loss_G: 0.019965 Loss_D_real: -0.022142 Loss_D_fake 0.013884
[206/5000][20/535][20906] Loss_D: -0.037376 Loss_G: 0.018756 Loss_D_real: -0.028058 Loss_D_fake 0.009318
[206/5000][25/535][20907] Loss_D: -0.037098 Loss_G: 0.025169 Loss_D_real: -0.023906 Loss_D_fake 0.013192
[206/5000][30/535][20908] Loss_D: -0.037606 Loss_G: -0.014436 Loss_D_real: -0.001343 Loss_D_fake 0.036263
[206/5000][35/535][20909] Loss_D: -0.035373 Loss_G: 0.022910 Loss_D_real: -0.034792 Loss_D_fake 0.000580
[206/5000][40/535][20910] Loss_D: -0.037158 Loss_G: 0.030600 Loss_D_real: -0.038335 Loss_D_fake -0.001177
[206/5000][45/535][20911] Loss_D: -0.036824 Loss_G: 0.033973 Loss_D_real: -0.034156 Loss_D_fake 0.002668
[206/5000][50/535][20912] Loss_D: -0.037714 Loss_G: -0.008952 Loss_D_real: -0.004722 Loss_D_fake 0.032992
[206/5000][55/535][20913] Loss_D: -0.036962 Loss_G: 0.027110 Loss_D_real: -0.043003 Loss_D_fake -0.006041
[206/5000][60/535][20914] Loss_D: -0.038291 Loss_G: 0.033359 Loss_D_real: -0.039092 Loss_D_fake -0.000801
[206/5000][65/535][20915] Loss_D: -0.038388 Loss_G: 0.026178 Loss_D_real: -0.026782 Loss_D_fake 0.011605
[206/5000][70/535][20916] Loss_D: -0.038552 Loss_G: 0.011041 Loss_D_real: -0.018331 Loss_D_fake 0.020221
[206/5000][75/535][20917] Loss_D: -0.037673 Loss_G: 0.039568 Loss_D_real: -0.040521 Loss_D_fake -0.002847
[206/5000][80/535][20918] Loss_D: -0.039776 Loss_G: 0.005906 Loss_D_real: -0.009666 Loss_D_fake 0.030111
[206/5000][85/535][20919] Loss_D: -0.036109 Loss_G: 0.019100 Loss_D_real: -0.026123 Loss_D_fake 0.009986
[206/5000][90/535][20920] Loss_D: -0.038511 Loss_G: 0.015317 Loss_D_real: -0.021167 Loss_D_fake 0.017344
[206/5000][95/535][20921] Loss_D: -0.037147 Loss_G: -0.010893 Loss_D_real: -0.006601 Loss_D_fake 0.030546
[206/5000][100/535][20922] Loss_D: -0.035058 Loss_G: 0.009831 Loss_D_real: -0.017911 Loss_D_fake 0.017147
[206/5000][105/535][20923] Loss_D: -0.036694 Loss_G: 0.025885 Loss_D_real: -0.032695 Loss_D_fake 0.003999
[206/5000][110/535][20924] Loss_D: -0.037682 Loss_G: 0.006443 Loss_D_real: -0.010971 Loss_D_fake 0.026711
[206/5000][115/535][20925] Loss_D: -0.036632 Loss_G: 0.032403 Loss_D_real: -0.036410 Loss_D_fake 0.000222
[206/5000][120/535][20926] Loss_D: -0.036373 Loss_G: 0.019401 Loss_D_real: -0.029820 Loss_D_fake 0.006553
[206/5000][125/535][20927] Loss_D: -0.039918 Loss_G: 0.020159 Loss_D_real: -0.028181 Loss_D_fake 0.011737
[206/5000][130/535][20928] Loss_D: -0.036854 Loss_G: 0.027917 Loss_D_real: -0.024463 Loss_D_fake 0.012391
[206/5000][135/535][20929] Loss_D: -0.038449 Loss_G: 0.019291 Loss_D_real: -0.030298 Loss_D_fake 0.008151
[206/5000][140/535][20930] Loss_D: -0.034780 Loss_G: -0.024892 Loss_D_real: -0.002580 Loss_D_fake 0.032199
[206/5000][145/535][20931] Loss_D: -0.035149 Loss_G: 0.034299 Loss_D_real: -0.038880 Loss_D_fake -0.003731
[206/5000][150/535][20932] Loss_D: -0.038293 Loss_G: 0.021419 Loss_D_real: -0.021950 Loss_D_fake 0.016343
[206/5000][155/535][20933] Loss_D: -0.036540 Loss_G: 0.012061 Loss_D_real: -0.019827 Loss_D_fake 0.016713
[206/5000][160/535][20934] Loss_D: -0.036722 Loss_G: 0.011530 Loss_D_real: -0.019575 Loss_D_fake 0.017147
[206/5000][165/535][20935] Loss_D: -0.036787 Loss_G: 0.029434 Loss_D_real: -0.041702 Loss_D_fake -0.004915
[206/5000][170/535][20936] Loss_D: -0.036280 Loss_G: 0.027058 Loss_D_real: -0.036685 Loss_D_fake -0.000405
[206/5000][175/535][20937] Loss_D: -0.035977 Loss_G: -0.010040 Loss_D_real: -0.003528 Loss_D_fake 0.032449
[206/5000][180/535][20938] Loss_D: -0.036996 Loss_G: 0.036552 Loss_D_real: -0.040139 Loss_D_fake -0.003143
[206/5000][185/535][20939] Loss_D: -0.036508 Loss_G: 0.025172 Loss_D_real: -0.034681 Loss_D_fake 0.001828
[206/5000][190/535][20940] Loss_D: -0.038440 Loss_G: 0.027159 Loss_D_real: -0.031359 Loss_D_fake 0.007081
[206/5000][195/535][20941] Loss_D: -0.036594 Loss_G: 0.006890 Loss_D_real: -0.019812 Loss_D_fake 0.016781
[206/5000][200/535][20942] Loss_D: -0.036736 Loss_G: 0.026804 Loss_D_real: -0.031021 Loss_D_fake 0.005716
[206/5000][205/535][20943] Loss_D: -0.035230 Loss_G: 0.016781 Loss_D_real: -0.026048 Loss_D_fake 0.009181
[206/5000][210/535][20944] Loss_D: -0.035863 Loss_G: 0.040488 Loss_D_real: -0.037238 Loss_D_fake -0.001376
[206/5000][215/535][20945] Loss_D: -0.038290 Loss_G: 0.000028 Loss_D_real: -0.007957 Loss_D_fake 0.030332
[206/5000][220/535][20946] Loss_D: -0.035688 Loss_G: 0.035149 Loss_D_real: -0.045549 Loss_D_fake -0.009861
[206/5000][225/535][20947] Loss_D: -0.037836 Loss_G: 0.011363 Loss_D_real: -0.021053 Loss_D_fake 0.016782
[206/5000][230/535][20948] Loss_D: -0.036972 Loss_G: 0.026399 Loss_D_real: -0.032485 Loss_D_fake 0.004488
[206/5000][235/535][20949] Loss_D: -0.037845 Loss_G: 0.019152 Loss_D_real: -0.023417 Loss_D_fake 0.014428
[206/5000][240/535][20950] Loss_D: -0.040052 Loss_G: 0.033938 Loss_D_real: -0.032365 Loss_D_fake 0.007687
[206/5000][245/535][20951] Loss_D: -0.036137 Loss_G: -0.017880 Loss_D_real: 0.000523 Loss_D_fake 0.036661
[206/5000][250/535][20952] Loss_D: -0.035653 Loss_G: 0.005474 Loss_D_real: -0.017747 Loss_D_fake 0.017906
[206/5000][255/535][20953] Loss_D: -0.035368 Loss_G: 0.006216 Loss_D_real: -0.020613 Loss_D_fake 0.014755
[206/5000][260/535][20954] Loss_D: -0.037158 Loss_G: 0.016538 Loss_D_real: -0.027388 Loss_D_fake 0.009771
[206/5000][265/535][20955] Loss_D: -0.036805 Loss_G: -0.002864 Loss_D_real: -0.009164 Loss_D_fake 0.027641
[206/5000][270/535][20956] Loss_D: -0.036212 Loss_G: 0.035207 Loss_D_real: -0.040199 Loss_D_fake -0.003988
[206/5000][275/535][20957] Loss_D: -0.035260 Loss_G: 0.035288 Loss_D_real: -0.031255 Loss_D_fake 0.004005
[206/5000][280/535][20958] Loss_D: -0.036046 Loss_G: 0.030891 Loss_D_real: -0.031173 Loss_D_fake 0.004873
[206/5000][285/535][20959] Loss_D: -0.037588 Loss_G: -0.000254 Loss_D_real: -0.007621 Loss_D_fake 0.029967
[206/5000][290/535][20960] Loss_D: -0.036845 Loss_G: 0.019564 Loss_D_real: -0.027622 Loss_D_fake 0.009223
[206/5000][295/535][20961] Loss_D: -0.038147 Loss_G: 0.022060 Loss_D_real: -0.027324 Loss_D_fake 0.010823
[206/5000][300/535][20962] Loss_D: -0.035213 Loss_G: 0.034966 Loss_D_real: -0.039771 Loss_D_fake -0.004558
[206/5000][305/535][20963] Loss_D: -0.037513 Loss_G: 0.014029 Loss_D_real: -0.016279 Loss_D_fake 0.021234
[206/5000][310/535][20964] Loss_D: -0.037949 Loss_G: 0.013328 Loss_D_real: -0.017224 Loss_D_fake 0.020725
[206/5000][315/535][20965] Loss_D: -0.037810 Loss_G: 0.014534 Loss_D_real: -0.028357 Loss_D_fake 0.009453
[206/5000][320/535][20966] Loss_D: -0.035873 Loss_G: 0.029662 Loss_D_real: -0.035181 Loss_D_fake 0.000692
[206/5000][325/535][20967] Loss_D: -0.038339 Loss_G: 0.001189 Loss_D_real: -0.018870 Loss_D_fake 0.019469
[206/5000][330/535][20968] Loss_D: -0.037934 Loss_G: 0.020096 Loss_D_real: -0.025110 Loss_D_fake 0.012824
[206/5000][335/535][20969] Loss_D: -0.036813 Loss_G: 0.010141 Loss_D_real: -0.021528 Loss_D_fake 0.015285
[206/5000][340/535][20970] Loss_D: -0.038483 Loss_G: -0.004240 Loss_D_real: -0.016577 Loss_D_fake 0.021906
[206/5000][345/535][20971] Loss_D: -0.036440 Loss_G: 0.039592 Loss_D_real: -0.046181 Loss_D_fake -0.009741
[206/5000][350/535][20972] Loss_D: -0.037595 Loss_G: 0.013506 Loss_D_real: -0.018244 Loss_D_fake 0.019351
[206/5000][355/535][20973] Loss_D: -0.037809 Loss_G: 0.027697 Loss_D_real: -0.034690 Loss_D_fake 0.003118
[206/5000][360/535][20974] Loss_D: -0.037575 Loss_G: -0.003949 Loss_D_real: -0.013993 Loss_D_fake 0.023582
[206/5000][365/535][20975] Loss_D: -0.035371 Loss_G: 0.029832 Loss_D_real: -0.037018 Loss_D_fake -0.001647
[206/5000][370/535][20976] Loss_D: -0.036572 Loss_G: 0.013036 Loss_D_real: -0.025786 Loss_D_fake 0.010785
[206/5000][375/535][20977] Loss_D: -0.037038 Loss_G: 0.021341 Loss_D_real: -0.030034 Loss_D_fake 0.007004
[206/5000][380/535][20978] Loss_D: -0.035462 Loss_G: 0.016637 Loss_D_real: -0.024934 Loss_D_fake 0.010528
[206/5000][385/535][20979] Loss_D: -0.035979 Loss_G: 0.012747 Loss_D_real: -0.020278 Loss_D_fake 0.015700
[206/5000][390/535][20980] Loss_D: -0.038431 Loss_G: 0.030562 Loss_D_real: -0.029086 Loss_D_fake 0.009345
[206/5000][395/535][20981] Loss_D: -0.038110 Loss_G: 0.002302 Loss_D_real: -0.016429 Loss_D_fake 0.021681
[206/5000][400/535][20982] Loss_D: -0.037187 Loss_G: 0.023933 Loss_D_real: -0.035152 Loss_D_fake 0.002035
[206/5000][405/535][20983] Loss_D: -0.037537 Loss_G: 0.011526 Loss_D_real: -0.026706 Loss_D_fake 0.010831
[206/5000][410/535][20984] Loss_D: -0.039994 Loss_G: 0.018967 Loss_D_real: -0.029648 Loss_D_fake 0.010345
[206/5000][415/535][20985] Loss_D: -0.037490 Loss_G: 0.041069 Loss_D_real: -0.041601 Loss_D_fake -0.004111
[206/5000][420/535][20986] Loss_D: -0.037676 Loss_G: -0.003571 Loss_D_real: -0.010122 Loss_D_fake 0.027554
[206/5000][425/535][20987] Loss_D: -0.037532 Loss_G: 0.022824 Loss_D_real: -0.033827 Loss_D_fake 0.003706
[206/5000][430/535][20988] Loss_D: -0.038512 Loss_G: 0.021616 Loss_D_real: -0.020205 Loss_D_fake 0.018306
[206/5000][435/535][20989] Loss_D: -0.036027 Loss_G: -0.000062 Loss_D_real: 0.001640 Loss_D_fake 0.037667
[206/5000][440/535][20990] Loss_D: -0.036457 Loss_G: 0.017891 Loss_D_real: -0.034079 Loss_D_fake 0.002378
[206/5000][445/535][20991] Loss_D: -0.037690 Loss_G: 0.031097 Loss_D_real: -0.032176 Loss_D_fake 0.005514
[206/5000][450/535][20992] Loss_D: -0.038405 Loss_G: 0.005114 Loss_D_real: -0.017637 Loss_D_fake 0.020768
[206/5000][455/535][20993] Loss_D: -0.039065 Loss_G: 0.018131 Loss_D_real: -0.022656 Loss_D_fake 0.016409
[206/5000][460/535][20994] Loss_D: -0.036388 Loss_G: 0.038220 Loss_D_real: -0.037083 Loss_D_fake -0.000695
[206/5000][465/535][20995] Loss_D: -0.037705 Loss_G: -0.008093 Loss_D_real: -0.010003 Loss_D_fake 0.027701
[206/5000][470/535][20996] Loss_D: -0.034649 Loss_G: 0.036379 Loss_D_real: -0.038017 Loss_D_fake -0.003368
[206/5000][475/535][20997] Loss_D: -0.036824 Loss_G: 0.015887 Loss_D_real: -0.020706 Loss_D_fake 0.016118
[206/5000][480/535][20998] Loss_D: -0.037312 Loss_G: 0.007606 Loss_D_real: -0.015314 Loss_D_fake 0.021998
[206/5000][485/535][20999] Loss_D: -0.036538 Loss_G: 0.012069 Loss_D_real: -0.026304 Loss_D_fake 0.010234
[206/5000][490/535][21000] Loss_D: -0.038162 Loss_G: 0.008448 Loss_D_real: -0.017903 Loss_D_fake 0.020260
[206/5000][535/535][21001] Loss_D: -0.039585 Loss_G: 0.009931 Loss_D_real: -0.018739 Loss_D_fake 0.020846
[207/5000][5/535][21002] Loss_D: -0.037914 Loss_G: 0.032410 Loss_D_real: -0.035501 Loss_D_fake 0.002413
[207/5000][10/535][21003] Loss_D: -0.036585 Loss_G: -0.005842 Loss_D_real: -0.006120 Loss_D_fake 0.030465
[207/5000][15/535][21004] Loss_D: -0.035396 Loss_G: 0.016943 Loss_D_real: -0.029067 Loss_D_fake 0.006328
[207/5000][20/535][21005] Loss_D: -0.035275 Loss_G: 0.039591 Loss_D_real: -0.037190 Loss_D_fake -0.001914
[207/5000][25/535][21006] Loss_D: -0.037650 Loss_G: 0.015344 Loss_D_real: -0.026996 Loss_D_fake 0.010654
[207/5000][30/535][21007] Loss_D: -0.037048 Loss_G: 0.006558 Loss_D_real: -0.015683 Loss_D_fake 0.021365
[207/5000][35/535][21008] Loss_D: -0.037248 Loss_G: 0.035654 Loss_D_real: -0.029203 Loss_D_fake 0.008044
[207/5000][40/535][21009] Loss_D: -0.035693 Loss_G: 0.003967 Loss_D_real: -0.018359 Loss_D_fake 0.017334
[207/5000][45/535][21010] Loss_D: -0.037493 Loss_G: 0.019630 Loss_D_real: -0.020033 Loss_D_fake 0.017459
[207/5000][50/535][21011] Loss_D: -0.036446 Loss_G: 0.029447 Loss_D_real: -0.033580 Loss_D_fake 0.002865
[207/5000][55/535][21012] Loss_D: -0.036376 Loss_G: 0.032864 Loss_D_real: -0.037050 Loss_D_fake -0.000674
[207/5000][60/535][21013] Loss_D: -0.036835 Loss_G: 0.005508 Loss_D_real: -0.005449 Loss_D_fake 0.031385
[207/5000][65/535][21014] Loss_D: -0.038115 Loss_G: 0.007521 Loss_D_real: -0.019639 Loss_D_fake 0.018476
[207/5000][70/535][21015] Loss_D: -0.035483 Loss_G: 0.015056 Loss_D_real: -0.027494 Loss_D_fake 0.007989
[207/5000][75/535][21016] Loss_D: -0.037620 Loss_G: 0.021798 Loss_D_real: -0.032504 Loss_D_fake 0.005116
[207/5000][80/535][21017] Loss_D: -0.038544 Loss_G: 0.015644 Loss_D_real: -0.025047 Loss_D_fake 0.013497
[207/5000][85/535][21018] Loss_D: -0.035927 Loss_G: 0.023863 Loss_D_real: -0.035440 Loss_D_fake 0.000487
[207/5000][90/535][21019] Loss_D: -0.035934 Loss_G: 0.009500 Loss_D_real: -0.014981 Loss_D_fake 0.020952
[207/5000][95/535][21020] Loss_D: -0.037508 Loss_G: 0.000990 Loss_D_real: -0.017949 Loss_D_fake 0.019558
[207/5000][100/535][21021] Loss_D: -0.036303 Loss_G: 0.031258 Loss_D_real: -0.037398 Loss_D_fake -0.001095
[207/5000][105/535][21022] Loss_D: -0.034156 Loss_G: -0.006218 Loss_D_real: -0.012463 Loss_D_fake 0.021693
[207/5000][110/535][21023] Loss_D: -0.036315 Loss_G: 0.041100 Loss_D_real: -0.039385 Loss_D_fake -0.003070
[207/5000][115/535][21024] Loss_D: -0.037944 Loss_G: 0.007782 Loss_D_real: -0.022193 Loss_D_fake 0.015751
[207/5000][120/535][21025] Loss_D: -0.037171 Loss_G: 0.023622 Loss_D_real: -0.027777 Loss_D_fake 0.009393
[207/5000][125/535][21026] Loss_D: -0.037871 Loss_G: 0.043962 Loss_D_real: -0.046003 Loss_D_fake -0.008133
[207/5000][130/535][21027] Loss_D: -0.036547 Loss_G: 0.001651 Loss_D_real: -0.012804 Loss_D_fake 0.023743
[207/5000][135/535][21028] Loss_D: -0.037653 Loss_G: 0.038506 Loss_D_real: -0.039813 Loss_D_fake -0.002160
[207/5000][140/535][21029] Loss_D: -0.038487 Loss_G: 0.003111 Loss_D_real: -0.013386 Loss_D_fake 0.025101
[207/5000][145/535][21030] Loss_D: -0.037295 Loss_G: 0.026046 Loss_D_real: -0.030749 Loss_D_fake 0.006546
[207/5000][150/535][21031] Loss_D: -0.038751 Loss_G: 0.026163 Loss_D_real: -0.030827 Loss_D_fake 0.007923
[207/5000][155/535][21032] Loss_D: -0.038977 Loss_G: 0.004293 Loss_D_real: -0.015858 Loss_D_fake 0.023120
[207/5000][160/535][21033] Loss_D: -0.034702 Loss_G: 0.041113 Loss_D_real: -0.041033 Loss_D_fake -0.006331
[207/5000][165/535][21034] Loss_D: -0.037651 Loss_G: 0.006999 Loss_D_real: -0.017926 Loss_D_fake 0.019725
[207/5000][170/535][21035] Loss_D: -0.035187 Loss_G: 0.041347 Loss_D_real: -0.045576 Loss_D_fake -0.010389
[207/5000][175/535][21036] Loss_D: -0.038806 Loss_G: 0.004237 Loss_D_real: -0.016718 Loss_D_fake 0.022088
[207/5000][180/535][21037] Loss_D: -0.037580 Loss_G: 0.029074 Loss_D_real: -0.026366 Loss_D_fake 0.011214
[207/5000][185/535][21038] Loss_D: -0.037650 Loss_G: 0.013442 Loss_D_real: -0.016460 Loss_D_fake 0.021191
[207/5000][190/535][21039] Loss_D: -0.036452 Loss_G: 0.015650 Loss_D_real: -0.024587 Loss_D_fake 0.011866
[207/5000][195/535][21040] Loss_D: -0.035195 Loss_G: -0.010092 Loss_D_real: -0.003461 Loss_D_fake 0.031734
[207/5000][200/535][21041] Loss_D: -0.036622 Loss_G: 0.014067 Loss_D_real: -0.028272 Loss_D_fake 0.008350
[207/5000][205/535][21042] Loss_D: -0.036778 Loss_G: 0.023358 Loss_D_real: -0.021415 Loss_D_fake 0.015363
[207/5000][210/535][21043] Loss_D: -0.036622 Loss_G: 0.000295 Loss_D_real: -0.013202 Loss_D_fake 0.023420
[207/5000][215/535][21044] Loss_D: -0.035952 Loss_G: 0.004160 Loss_D_real: -0.015084 Loss_D_fake 0.020868
[207/5000][220/535][21045] Loss_D: -0.038579 Loss_G: 0.028245 Loss_D_real: -0.031553 Loss_D_fake 0.007026
[207/5000][225/535][21046] Loss_D: -0.038333 Loss_G: 0.001717 Loss_D_real: -0.015282 Loss_D_fake 0.023051
[207/5000][230/535][21047] Loss_D: -0.034967 Loss_G: 0.034897 Loss_D_real: -0.035354 Loss_D_fake -0.000387
[207/5000][235/535][21048] Loss_D: -0.034702 Loss_G: -0.001613 Loss_D_real: -0.003127 Loss_D_fake 0.031575
[207/5000][240/535][21049] Loss_D: -0.035666 Loss_G: 0.032485 Loss_D_real: -0.036117 Loss_D_fake -0.000451
[207/5000][245/535][21050] Loss_D: -0.035758 Loss_G: -0.005881 Loss_D_real: -0.007598 Loss_D_fake 0.028160
[207/5000][250/535][21051] Loss_D: -0.036300 Loss_G: 0.025187 Loss_D_real: -0.033197 Loss_D_fake 0.003103
[207/5000][255/535][21052] Loss_D: -0.036721 Loss_G: 0.008230 Loss_D_real: -0.020386 Loss_D_fake 0.016335
[207/5000][260/535][21053] Loss_D: -0.036449 Loss_G: 0.007202 Loss_D_real: -0.019272 Loss_D_fake 0.017177
[207/5000][265/535][21054] Loss_D: -0.037786 Loss_G: 0.033286 Loss_D_real: -0.024732 Loss_D_fake 0.013055
[207/5000][270/535][21055] Loss_D: -0.037362 Loss_G: 0.026714 Loss_D_real: -0.034158 Loss_D_fake 0.003205
[207/5000][275/535][21056] Loss_D: -0.037367 Loss_G: 0.009832 Loss_D_real: -0.021121 Loss_D_fake 0.016246
[207/5000][280/535][21057] Loss_D: -0.038595 Loss_G: 0.016959 Loss_D_real: -0.023525 Loss_D_fake 0.015070
[207/5000][285/535][21058] Loss_D: -0.037271 Loss_G: 0.012031 Loss_D_real: -0.026696 Loss_D_fake 0.010575
[207/5000][290/535][21059] Loss_D: -0.035954 Loss_G: 0.029856 Loss_D_real: -0.029907 Loss_D_fake 0.006047
[207/5000][295/535][21060] Loss_D: -0.036598 Loss_G: 0.000618 Loss_D_real: -0.014176 Loss_D_fake 0.022422
[207/5000][300/535][21061] Loss_D: -0.035459 Loss_G: 0.024270 Loss_D_real: -0.029286 Loss_D_fake 0.006173
[207/5000][305/535][21062] Loss_D: -0.037447 Loss_G: 0.023222 Loss_D_real: -0.032130 Loss_D_fake 0.005317
[207/5000][310/535][21063] Loss_D: -0.039433 Loss_G: 0.014131 Loss_D_real: -0.013797 Loss_D_fake 0.025636
[207/5000][315/535][21064] Loss_D: -0.038001 Loss_G: 0.032365 Loss_D_real: -0.037908 Loss_D_fake 0.000093
[207/5000][320/535][21065] Loss_D: -0.037659 Loss_G: 0.016423 Loss_D_real: -0.021668 Loss_D_fake 0.015991
[207/5000][325/535][21066] Loss_D: -0.038426 Loss_G: 0.029632 Loss_D_real: -0.035159 Loss_D_fake 0.003267
[207/5000][330/535][21067] Loss_D: -0.034710 Loss_G: -0.022255 Loss_D_real: 0.002185 Loss_D_fake 0.036895
[207/5000][335/535][21068] Loss_D: -0.035309 Loss_G: 0.028031 Loss_D_real: -0.032506 Loss_D_fake 0.002803
[207/5000][340/535][21069] Loss_D: -0.037436 Loss_G: 0.019459 Loss_D_real: -0.025874 Loss_D_fake 0.011562
[207/5000][345/535][21070] Loss_D: -0.038054 Loss_G: 0.019620 Loss_D_real: -0.019760 Loss_D_fake 0.018294
[207/5000][350/535][21071] Loss_D: -0.036953 Loss_G: 0.004586 Loss_D_real: -0.020753 Loss_D_fake 0.016199
[207/5000][355/535][21072] Loss_D: -0.038179 Loss_G: 0.030113 Loss_D_real: -0.024894 Loss_D_fake 0.013285
[207/5000][360/535][21073] Loss_D: -0.036982 Loss_G: 0.024983 Loss_D_real: -0.031965 Loss_D_fake 0.005017
[207/5000][365/535][21074] Loss_D: -0.035940 Loss_G: 0.040773 Loss_D_real: -0.037575 Loss_D_fake -0.001635
[207/5000][370/535][21075] Loss_D: -0.035211 Loss_G: -0.018570 Loss_D_real: -0.001075 Loss_D_fake 0.034136
[207/5000][375/535][21076] Loss_D: -0.036910 Loss_G: 0.022979 Loss_D_real: -0.027139 Loss_D_fake 0.009771
[207/5000][380/535][21077] Loss_D: -0.036586 Loss_G: 0.010750 Loss_D_real: -0.021586 Loss_D_fake 0.015000
[207/5000][385/535][21078] Loss_D: -0.039047 Loss_G: 0.010728 Loss_D_real: -0.022682 Loss_D_fake 0.016365
[207/5000][390/535][21079] Loss_D: -0.034984 Loss_G: 0.040046 Loss_D_real: -0.043447 Loss_D_fake -0.008463
[207/5000][395/535][21080] Loss_D: -0.038095 Loss_G: 0.009261 Loss_D_real: -0.019618 Loss_D_fake 0.018477
[207/5000][400/535][21081] Loss_D: -0.035998 Loss_G: 0.009515 Loss_D_real: -0.014656 Loss_D_fake 0.021342
[207/5000][405/535][21082] Loss_D: -0.037265 Loss_G: 0.030868 Loss_D_real: -0.035151 Loss_D_fake 0.002114
[207/5000][410/535][21083] Loss_D: -0.036180 Loss_G: -0.008117 Loss_D_real: -0.005013 Loss_D_fake 0.031167
[207/5000][415/535][21084] Loss_D: -0.035349 Loss_G: 0.025184 Loss_D_real: -0.036567 Loss_D_fake -0.001218
[207/5000][420/535][21085] Loss_D: -0.038448 Loss_G: 0.027599 Loss_D_real: -0.029664 Loss_D_fake 0.008784
[207/5000][425/535][21086] Loss_D: -0.038249 Loss_G: 0.027087 Loss_D_real: -0.032559 Loss_D_fake 0.005689
[207/5000][430/535][21087] Loss_D: -0.038127 Loss_G: 0.028551 Loss_D_real: -0.033363 Loss_D_fake 0.004764
[207/5000][435/535][21088] Loss_D: -0.037438 Loss_G: 0.033998 Loss_D_real: -0.035468 Loss_D_fake 0.001969
[207/5000][440/535][21089] Loss_D: -0.038783 Loss_G: 0.006660 Loss_D_real: -0.009047 Loss_D_fake 0.029736
[207/5000][445/535][21090] Loss_D: -0.038082 Loss_G: 0.010703 Loss_D_real: -0.018089 Loss_D_fake 0.019993
[207/5000][450/535][21091] Loss_D: -0.036373 Loss_G: 0.035878 Loss_D_real: -0.042121 Loss_D_fake -0.005748
[207/5000][455/535][21092] Loss_D: -0.039270 Loss_G: 0.025048 Loss_D_real: -0.023197 Loss_D_fake 0.016073
[207/5000][460/535][21093] Loss_D: -0.036023 Loss_G: -0.012154 Loss_D_real: -0.002980 Loss_D_fake 0.033043
[207/5000][465/535][21094] Loss_D: -0.034991 Loss_G: 0.035149 Loss_D_real: -0.033762 Loss_D_fake 0.001230
[207/5000][470/535][21095] Loss_D: -0.037780 Loss_G: -0.003757 Loss_D_real: -0.018799 Loss_D_fake 0.018981
[207/5000][475/535][21096] Loss_D: -0.034864 Loss_G: 0.025134 Loss_D_real: -0.033750 Loss_D_fake 0.001114
[207/5000][480/535][21097] Loss_D: -0.037354 Loss_G: 0.025464 Loss_D_real: -0.031176 Loss_D_fake 0.006178
[207/5000][485/535][21098] Loss_D: -0.036427 Loss_G: 0.028595 Loss_D_real: -0.032951 Loss_D_fake 0.003476
[207/5000][490/535][21099] Loss_D: -0.037788 Loss_G: 0.014370 Loss_D_real: -0.020855 Loss_D_fake 0.016932
[207/5000][495/535][21100] Loss_D: -0.037283 Loss_G: 0.027245 Loss_D_real: -0.032927 Loss_D_fake 0.004356
[207/5000][500/535][21101] Loss_D: -0.037443 Loss_G: -0.011120 Loss_D_real: -0.009071 Loss_D_fake 0.028372
[207/5000][505/535][21102] Loss_D: -0.035713 Loss_G: 0.035453 Loss_D_real: -0.038868 Loss_D_fake -0.003155
[207/5000][510/535][21103] Loss_D: -0.035399 Loss_G: 0.001357 Loss_D_real: -0.008998 Loss_D_fake 0.026401
[207/5000][515/535][21104] Loss_D: -0.034961 Loss_G: 0.012799 Loss_D_real: -0.018192 Loss_D_fake 0.016769
[207/5000][520/535][21105] Loss_D: -0.037355 Loss_G: 0.021621 Loss_D_real: -0.026908 Loss_D_fake 0.010447
[207/5000][525/535][21106] Loss_D: -0.038590 Loss_G: 0.004741 Loss_D_real: -0.023325 Loss_D_fake 0.015266
[207/5000][530/535][21107] Loss_D: -0.036507 Loss_G: 0.043664 Loss_D_real: -0.044576 Loss_D_fake -0.008069
[207/5000][535/535][21108] Loss_D: -0.036745 Loss_G: 0.001918 Loss_D_real: -0.011231 Loss_D_fake 0.025515
[208/5000][5/535][21109] Loss_D: -0.036660 Loss_G: 0.026895 Loss_D_real: -0.032178 Loss_D_fake 0.004482
[208/5000][10/535][21110] Loss_D: -0.035237 Loss_G: -0.001356 Loss_D_real: -0.014391 Loss_D_fake 0.020846
[208/5000][15/535][21111] Loss_D: -0.036498 Loss_G: 0.029137 Loss_D_real: -0.026664 Loss_D_fake 0.009834
[208/5000][20/535][21112] Loss_D: -0.036700 Loss_G: 0.012406 Loss_D_real: -0.013014 Loss_D_fake 0.023686
[208/5000][25/535][21113] Loss_D: -0.037252 Loss_G: 0.013233 Loss_D_real: -0.016740 Loss_D_fake 0.020512
[208/5000][30/535][21114] Loss_D: -0.037157 Loss_G: 0.008740 Loss_D_real: -0.014909 Loss_D_fake 0.022248
[208/5000][35/535][21115] Loss_D: -0.037167 Loss_G: 0.024964 Loss_D_real: -0.026214 Loss_D_fake 0.010953
[208/5000][40/535][21116] Loss_D: -0.037757 Loss_G: 0.015610 Loss_D_real: -0.030517 Loss_D_fake 0.007239
[208/5000][45/535][21117] Loss_D: -0.037808 Loss_G: 0.019411 Loss_D_real: -0.019587 Loss_D_fake 0.018221
[208/5000][50/535][21118] Loss_D: -0.039042 Loss_G: 0.033849 Loss_D_real: -0.030225 Loss_D_fake 0.008817
[208/5000][55/535][21119] Loss_D: -0.036577 Loss_G: 0.009733 Loss_D_real: -0.021727 Loss_D_fake 0.014850
[208/5000][60/535][21120] Loss_D: -0.036281 Loss_G: 0.038309 Loss_D_real: -0.041257 Loss_D_fake -0.004975
[208/5000][65/535][21121] Loss_D: -0.038483 Loss_G: 0.010646 Loss_D_real: -0.014751 Loss_D_fake 0.023731
[208/5000][70/535][21122] Loss_D: -0.038003 Loss_G: 0.003958 Loss_D_real: -0.014238 Loss_D_fake 0.023764
[208/5000][75/535][21123] Loss_D: -0.036732 Loss_G: 0.032129 Loss_D_real: -0.038919 Loss_D_fake -0.002187
[208/5000][80/535][21124] Loss_D: -0.040152 Loss_G: 0.004545 Loss_D_real: -0.011902 Loss_D_fake 0.028250
[208/5000][85/535][21125] Loss_D: -0.037066 Loss_G: 0.013810 Loss_D_real: -0.024830 Loss_D_fake 0.012236
[208/5000][90/535][21126] Loss_D: -0.036198 Loss_G: -0.008304 Loss_D_real: 0.000110 Loss_D_fake 0.036309
[208/5000][95/535][21127] Loss_D: -0.036130 Loss_G: 0.023189 Loss_D_real: -0.031008 Loss_D_fake 0.005122
[208/5000][100/535][21128] Loss_D: -0.037927 Loss_G: 0.030376 Loss_D_real: -0.031802 Loss_D_fake 0.006126
[208/5000][105/535][21129] Loss_D: -0.038440 Loss_G: 0.030313 Loss_D_real: -0.023125 Loss_D_fake 0.015315
[208/5000][110/535][21130] Loss_D: -0.037875 Loss_G: 0.021142 Loss_D_real: -0.026012 Loss_D_fake 0.011863
[208/5000][115/535][21131] Loss_D: -0.037506 Loss_G: 0.008562 Loss_D_real: -0.014564 Loss_D_fake 0.022942
[208/5000][120/535][21132] Loss_D: -0.035333 Loss_G: 0.036307 Loss_D_real: -0.031907 Loss_D_fake 0.003426
[208/5000][125/535][21133] Loss_D: -0.037297 Loss_G: 0.020168 Loss_D_real: -0.032466 Loss_D_fake 0.004830
[208/5000][130/535][21134] Loss_D: -0.037587 Loss_G: -0.010423 Loss_D_real: -0.010605 Loss_D_fake 0.026982
[208/5000][135/535][21135] Loss_D: -0.035746 Loss_G: 0.036846 Loss_D_real: -0.043337 Loss_D_fake -0.007591
[208/5000][140/535][21136] Loss_D: -0.034831 Loss_G: -0.010846 Loss_D_real: 0.004094 Loss_D_fake 0.038926
[208/5000][145/535][21137] Loss_D: -0.036016 Loss_G: 0.024492 Loss_D_real: -0.028000 Loss_D_fake 0.008017
[208/5000][150/535][21138] Loss_D: -0.037401 Loss_G: 0.011441 Loss_D_real: -0.022768 Loss_D_fake 0.014633
[208/5000][155/535][21139] Loss_D: -0.035692 Loss_G: 0.028163 Loss_D_real: -0.031351 Loss_D_fake 0.004341
[208/5000][160/535][21140] Loss_D: -0.037150 Loss_G: 0.007393 Loss_D_real: -0.018748 Loss_D_fake 0.018402
[208/5000][165/535][21141] Loss_D: -0.035017 Loss_G: 0.031840 Loss_D_real: -0.032454 Loss_D_fake 0.002564
[208/5000][170/535][21142] Loss_D: -0.036972 Loss_G: -0.001058 Loss_D_real: -0.015407 Loss_D_fake 0.021565
[208/5000][175/535][21143] Loss_D: -0.036435 Loss_G: 0.031485 Loss_D_real: -0.034902 Loss_D_fake 0.001533
[208/5000][180/535][21144] Loss_D: -0.035130 Loss_G: 0.005052 Loss_D_real: -0.015220 Loss_D_fake 0.019910
[208/5000][185/535][21145] Loss_D: -0.038300 Loss_G: 0.017238 Loss_D_real: -0.025029 Loss_D_fake 0.013270
[208/5000][190/535][21146] Loss_D: -0.036031 Loss_G: 0.026706 Loss_D_real: -0.034255 Loss_D_fake 0.001775
[208/5000][195/535][21147] Loss_D: -0.037082 Loss_G: -0.006406 Loss_D_real: -0.013085 Loss_D_fake 0.023996
[208/5000][200/535][21148] Loss_D: -0.037418 Loss_G: 0.012552 Loss_D_real: -0.024237 Loss_D_fake 0.013181
[208/5000][205/535][21149] Loss_D: -0.037199 Loss_G: 0.033524 Loss_D_real: -0.037821 Loss_D_fake -0.000621
[208/5000][210/535][21150] Loss_D: -0.037786 Loss_G: 0.044156 Loss_D_real: -0.039832 Loss_D_fake -0.002046
[208/5000][215/535][21151] Loss_D: -0.036670 Loss_G: 0.036888 Loss_D_real: -0.039762 Loss_D_fake -0.003092
[208/5000][220/535][21152] Loss_D: -0.037845 Loss_G: 0.002544 Loss_D_real: -0.011302 Loss_D_fake 0.026543
[208/5000][225/535][21153] Loss_D: -0.035933 Loss_G: 0.020506 Loss_D_real: -0.029790 Loss_D_fake 0.006142
[208/5000][230/535][21154] Loss_D: -0.035879 Loss_G: 0.018095 Loss_D_real: -0.022708 Loss_D_fake 0.013171
[208/5000][235/535][21155] Loss_D: -0.037279 Loss_G: 0.018538 Loss_D_real: -0.027875 Loss_D_fake 0.009403
[208/5000][240/535][21156] Loss_D: -0.038599 Loss_G: 0.035450 Loss_D_real: -0.034615 Loss_D_fake 0.003984
[208/5000][245/535][21157] Loss_D: -0.037946 Loss_G: 0.002135 Loss_D_real: -0.021115 Loss_D_fake 0.016831
[208/5000][250/535][21158] Loss_D: -0.036638 Loss_G: -0.001362 Loss_D_real: -0.020667 Loss_D_fake 0.015971
[208/5000][255/535][21159] Loss_D: -0.036269 Loss_G: 0.035213 Loss_D_real: -0.040906 Loss_D_fake -0.004637
[208/5000][260/535][21160] Loss_D: -0.038755 Loss_G: 0.005219 Loss_D_real: -0.015822 Loss_D_fake 0.022933
[208/5000][265/535][21161] Loss_D: -0.037128 Loss_G: 0.015901 Loss_D_real: -0.025022 Loss_D_fake 0.012106
[208/5000][270/535][21162] Loss_D: -0.037215 Loss_G: 0.018175 Loss_D_real: -0.027467 Loss_D_fake 0.009748
[208/5000][275/535][21163] Loss_D: -0.038293 Loss_G: 0.033924 Loss_D_real: -0.030638 Loss_D_fake 0.007655
[208/5000][280/535][21164] Loss_D: -0.038539 Loss_G: -0.001994 Loss_D_real: -0.007529 Loss_D_fake 0.031010
[208/5000][285/535][21165] Loss_D: -0.035667 Loss_G: 0.039868 Loss_D_real: -0.046399 Loss_D_fake -0.010733
[208/5000][290/535][21166] Loss_D: -0.037759 Loss_G: 0.004338 Loss_D_real: -0.014989 Loss_D_fake 0.022770
[208/5000][295/535][21167] Loss_D: -0.037787 Loss_G: 0.022992 Loss_D_real: -0.030906 Loss_D_fake 0.006881
[208/5000][300/535][21168] Loss_D: -0.037740 Loss_G: 0.027669 Loss_D_real: -0.029930 Loss_D_fake 0.007810
[208/5000][305/535][21169] Loss_D: -0.038890 Loss_G: 0.016366 Loss_D_real: -0.024317 Loss_D_fake 0.014573
[208/5000][310/535][21170] Loss_D: -0.036409 Loss_G: 0.046850 Loss_D_real: -0.036810 Loss_D_fake -0.000400
[208/5000][315/535][21171] Loss_D: -0.036104 Loss_G: 0.002072 Loss_D_real: -0.014938 Loss_D_fake 0.021165
[208/5000][320/535][21172] Loss_D: -0.037632 Loss_G: 0.035641 Loss_D_real: -0.032723 Loss_D_fake 0.004909
[208/5000][325/535][21173] Loss_D: -0.037506 Loss_G: 0.001882 Loss_D_real: -0.006547 Loss_D_fake 0.030959
[208/5000][330/535][21174] Loss_D: -0.038002 Loss_G: 0.022193 Loss_D_real: -0.031395 Loss_D_fake 0.006607
[208/5000][335/535][21175] Loss_D: -0.038435 Loss_G: 0.014847 Loss_D_real: -0.019858 Loss_D_fake 0.018577
[208/5000][340/535][21176] Loss_D: -0.038634 Loss_G: 0.024223 Loss_D_real: -0.027016 Loss_D_fake 0.011618
[208/5000][345/535][21177] Loss_D: -0.036426 Loss_G: 0.012653 Loss_D_real: -0.014808 Loss_D_fake 0.021618
[208/5000][350/535][21178] Loss_D: -0.037146 Loss_G: 0.037809 Loss_D_real: -0.035699 Loss_D_fake 0.001447
[208/5000][355/535][21179] Loss_D: -0.037558 Loss_G: 0.005860 Loss_D_real: -0.025176 Loss_D_fake 0.012382
[208/5000][360/535][21180] Loss_D: -0.035470 Loss_G: 0.035350 Loss_D_real: -0.038587 Loss_D_fake -0.003117
[208/5000][365/535][21181] Loss_D: -0.037885 Loss_G: 0.037199 Loss_D_real: -0.033368 Loss_D_fake 0.004517
[208/5000][370/535][21182] Loss_D: -0.037808 Loss_G: 0.010966 Loss_D_real: -0.018229 Loss_D_fake 0.019579
[208/5000][375/535][21183] Loss_D: -0.036523 Loss_G: 0.022899 Loss_D_real: -0.037446 Loss_D_fake -0.000923
[208/5000][380/535][21184] Loss_D: -0.036838 Loss_G: 0.030088 Loss_D_real: -0.042633 Loss_D_fake -0.005795
[208/5000][385/535][21185] Loss_D: -0.036727 Loss_G: 0.002925 Loss_D_real: -0.012651 Loss_D_fake 0.024077
[208/5000][390/535][21186] Loss_D: -0.036800 Loss_G: 0.032885 Loss_D_real: -0.031043 Loss_D_fake 0.005756
[208/5000][395/535][21187] Loss_D: -0.036774 Loss_G: 0.001734 Loss_D_real: -0.012793 Loss_D_fake 0.023981
[208/5000][400/535][21188] Loss_D: -0.038421 Loss_G: 0.027320 Loss_D_real: -0.033015 Loss_D_fake 0.005407
[208/5000][405/535][21189] Loss_D: -0.036327 Loss_G: 0.031663 Loss_D_real: -0.035049 Loss_D_fake 0.001279
[208/5000][410/535][21190] Loss_D: -0.035568 Loss_G: -0.006648 Loss_D_real: -0.002009 Loss_D_fake 0.033559
[208/5000][415/535][21191] Loss_D: -0.035755 Loss_G: 0.022347 Loss_D_real: -0.039679 Loss_D_fake -0.003924
[208/5000][420/535][21192] Loss_D: -0.036410 Loss_G: 0.017608 Loss_D_real: -0.023628 Loss_D_fake 0.012782
[208/5000][425/535][21193] Loss_D: -0.037228 Loss_G: 0.027318 Loss_D_real: -0.033345 Loss_D_fake 0.003883
[208/5000][430/535][21194] Loss_D: -0.039289 Loss_G: 0.033105 Loss_D_real: -0.037260 Loss_D_fake 0.002029
[208/5000][435/535][21195] Loss_D: -0.038696 Loss_G: 0.028753 Loss_D_real: -0.025153 Loss_D_fake 0.013542
[208/5000][440/535][21196] Loss_D: -0.038889 Loss_G: -0.001440 Loss_D_real: -0.014049 Loss_D_fake 0.024840
[208/5000][445/535][21197] Loss_D: -0.035218 Loss_G: 0.033204 Loss_D_real: -0.032757 Loss_D_fake 0.002461
[208/5000][450/535][21198] Loss_D: -0.036541 Loss_G: -0.019744 Loss_D_real: -0.005083 Loss_D_fake 0.031457
[208/5000][455/535][21199] Loss_D: -0.036536 Loss_G: 0.017650 Loss_D_real: -0.027385 Loss_D_fake 0.009152
[208/5000][460/535][21200] Loss_D: -0.037166 Loss_G: 0.016928 Loss_D_real: -0.026363 Loss_D_fake 0.010803
[208/5000][465/535][21201] Loss_D: -0.036878 Loss_G: 0.003098 Loss_D_real: -0.022593 Loss_D_fake 0.014284
[208/5000][470/535][21202] Loss_D: -0.036819 Loss_G: 0.041276 Loss_D_real: -0.040854 Loss_D_fake -0.004035
[208/5000][475/535][21203] Loss_D: -0.036134 Loss_G: 0.014933 Loss_D_real: -0.020243 Loss_D_fake 0.015891
[208/5000][480/535][21204] Loss_D: -0.036732 Loss_G: 0.023460 Loss_D_real: -0.032493 Loss_D_fake 0.004239
[208/5000][485/535][21205] Loss_D: -0.036593 Loss_G: 0.010098 Loss_D_real: -0.010976 Loss_D_fake 0.025617
[208/5000][490/535][21206] Loss_D: -0.037298 Loss_G: 0.004926 Loss_D_real: -0.016161 Loss_D_fake 0.021137
[208/5000][495/535][21207] Loss_D: -0.037790 Loss_G: 0.023055 Loss_D_real: -0.027885 Loss_D_fake 0.009905
[208/5000][500/535][21208] Loss_D: -0.037568 Loss_G: 0.021501 Loss_D_real: -0.027099 Loss_D_fake 0.010469
[208/5000][505/535][21209] Loss_D: -0.038905 Loss_G: 0.029413 Loss_D_real: -0.026006 Loss_D_fake 0.012899
[208/5000][510/535][21210] Loss_D: -0.035575 Loss_G: 0.035788 Loss_D_real: -0.032945 Loss_D_fake 0.002630
[208/5000][515/535][21211] Loss_D: -0.038184 Loss_G: 0.011329 Loss_D_real: -0.018856 Loss_D_fake 0.019329
[208/5000][520/535][21212] Loss_D: -0.036916 Loss_G: 0.018699 Loss_D_real: -0.022663 Loss_D_fake 0.014253
[208/5000][525/535][21213] Loss_D: -0.035082 Loss_G: 0.036807 Loss_D_real: -0.041172 Loss_D_fake -0.006089
[208/5000][530/535][21214] Loss_D: -0.036542 Loss_G: -0.009416 Loss_D_real: -0.001575 Loss_D_fake 0.034967
[208/5000][535/535][21215] Loss_D: -0.037185 Loss_G: 0.041587 Loss_D_real: -0.035960 Loss_D_fake 0.001224
[209/5000][5/535][21216] Loss_D: -0.037485 Loss_G: 0.020200 Loss_D_real: -0.028332 Loss_D_fake 0.009153
[209/5000][10/535][21217] Loss_D: -0.035575 Loss_G: 0.049198 Loss_D_real: -0.044606 Loss_D_fake -0.009031
[209/5000][15/535][21218] Loss_D: -0.036707 Loss_G: -0.008631 Loss_D_real: -0.003542 Loss_D_fake 0.033165
[209/5000][20/535][21219] Loss_D: -0.036578 Loss_G: 0.025066 Loss_D_real: -0.029992 Loss_D_fake 0.006586
[209/5000][25/535][21220] Loss_D: -0.036948 Loss_G: 0.030762 Loss_D_real: -0.029463 Loss_D_fake 0.007485
[209/5000][30/535][21221] Loss_D: -0.038104 Loss_G: 0.002764 Loss_D_real: -0.016231 Loss_D_fake 0.021873
[209/5000][35/535][21222] Loss_D: -0.037563 Loss_G: 0.022270 Loss_D_real: -0.027262 Loss_D_fake 0.010301
[209/5000][40/535][21223] Loss_D: -0.035328 Loss_G: -0.003733 Loss_D_real: -0.004457 Loss_D_fake 0.030871
[209/5000][45/535][21224] Loss_D: -0.036146 Loss_G: 0.039739 Loss_D_real: -0.033634 Loss_D_fake 0.002512
[209/5000][50/535][21225] Loss_D: -0.035270 Loss_G: -0.002706 Loss_D_real: -0.005058 Loss_D_fake 0.030212
[209/5000][55/535][21226] Loss_D: -0.037016 Loss_G: 0.018620 Loss_D_real: -0.029185 Loss_D_fake 0.007831
[209/5000][60/535][21227] Loss_D: -0.036313 Loss_G: 0.005921 Loss_D_real: -0.015805 Loss_D_fake 0.020508
[209/5000][65/535][21228] Loss_D: -0.037801 Loss_G: 0.037490 Loss_D_real: -0.035916 Loss_D_fake 0.001885
[209/5000][70/535][21229] Loss_D: -0.037320 Loss_G: -0.011541 Loss_D_real: -0.010889 Loss_D_fake 0.026431
[209/5000][75/535][21230] Loss_D: -0.036056 Loss_G: 0.003868 Loss_D_real: -0.023480 Loss_D_fake 0.012576
[209/5000][80/535][21231] Loss_D: -0.036647 Loss_G: 0.037610 Loss_D_real: -0.031536 Loss_D_fake 0.005111
[209/5000][85/535][21232] Loss_D: -0.037740 Loss_G: 0.017595 Loss_D_real: -0.021119 Loss_D_fake 0.016621
[209/5000][90/535][21233] Loss_D: -0.036864 Loss_G: 0.025488 Loss_D_real: -0.031349 Loss_D_fake 0.005515
[209/5000][95/535][21234] Loss_D: -0.037806 Loss_G: 0.020830 Loss_D_real: -0.022806 Loss_D_fake 0.015000
[209/5000][100/535][21235] Loss_D: -0.038223 Loss_G: 0.021830 Loss_D_real: -0.027669 Loss_D_fake 0.010553
[209/5000][105/535][21236] Loss_D: -0.037453 Loss_G: 0.003890 Loss_D_real: -0.017785 Loss_D_fake 0.019669
[209/5000][110/535][21237] Loss_D: -0.035414 Loss_G: 0.032733 Loss_D_real: -0.038153 Loss_D_fake -0.002740
[209/5000][115/535][21238] Loss_D: -0.038451 Loss_G: -0.003923 Loss_D_real: -0.008693 Loss_D_fake 0.029758
[209/5000][120/535][21239] Loss_D: -0.037112 Loss_G: 0.009758 Loss_D_real: -0.013576 Loss_D_fake 0.023536
[209/5000][125/535][21240] Loss_D: -0.035649 Loss_G: 0.048527 Loss_D_real: -0.043013 Loss_D_fake -0.007363
[209/5000][130/535][21241] Loss_D: -0.034480 Loss_G: -0.019933 Loss_D_real: 0.003634 Loss_D_fake 0.038114
[209/5000][135/535][21242] Loss_D: -0.037925 Loss_G: 0.026128 Loss_D_real: -0.032666 Loss_D_fake 0.005259
[209/5000][140/535][21243] Loss_D: -0.036387 Loss_G: 0.012714 Loss_D_real: -0.017315 Loss_D_fake 0.019072
[209/5000][145/535][21244] Loss_D: -0.038659 Loss_G: 0.010462 Loss_D_real: -0.023755 Loss_D_fake 0.014903
[209/5000][150/535][21245] Loss_D: -0.035156 Loss_G: 0.010140 Loss_D_real: -0.015539 Loss_D_fake 0.019617
[209/5000][155/535][21246] Loss_D: -0.037714 Loss_G: 0.034343 Loss_D_real: -0.037665 Loss_D_fake 0.000050
[209/5000][160/535][21247] Loss_D: -0.036595 Loss_G: 0.006856 Loss_D_real: -0.010550 Loss_D_fake 0.026044
[209/5000][165/535][21248] Loss_D: -0.037858 Loss_G: 0.022288 Loss_D_real: -0.036212 Loss_D_fake 0.001647
[209/5000][170/535][21249] Loss_D: -0.037089 Loss_G: 0.021497 Loss_D_real: -0.023598 Loss_D_fake 0.013491
[209/5000][175/535][21250] Loss_D: -0.038107 Loss_G: 0.018110 Loss_D_real: -0.029193 Loss_D_fake 0.008915
[209/5000][180/535][21251] Loss_D: -0.036802 Loss_G: 0.013660 Loss_D_real: -0.013518 Loss_D_fake 0.023283
[209/5000][185/535][21252] Loss_D: -0.036657 Loss_G: 0.027700 Loss_D_real: -0.023554 Loss_D_fake 0.013103
[209/5000][190/535][21253] Loss_D: -0.036260 Loss_G: 0.037942 Loss_D_real: -0.036694 Loss_D_fake -0.000433
[209/5000][195/535][21254] Loss_D: -0.036276 Loss_G: 0.014270 Loss_D_real: -0.018677 Loss_D_fake 0.017600
[209/5000][200/535][21255] Loss_D: -0.034648 Loss_G: 0.010143 Loss_D_real: -0.026065 Loss_D_fake 0.008582
[209/5000][205/535][21256] Loss_D: -0.035983 Loss_G: 0.040385 Loss_D_real: -0.043690 Loss_D_fake -0.007707
[209/5000][210/535][21257] Loss_D: -0.035420 Loss_G: 0.020463 Loss_D_real: -0.027287 Loss_D_fake 0.008134
[209/5000][215/535][21258] Loss_D: -0.038857 Loss_G: -0.004885 Loss_D_real: -0.013525 Loss_D_fake 0.025332
[209/5000][220/535][21259] Loss_D: -0.036672 Loss_G: 0.022001 Loss_D_real: -0.025298 Loss_D_fake 0.011374
[209/5000][225/535][21260] Loss_D: -0.038093 Loss_G: 0.018452 Loss_D_real: -0.027100 Loss_D_fake 0.010994
[209/5000][230/535][21261] Loss_D: -0.037586 Loss_G: 0.028595 Loss_D_real: -0.035462 Loss_D_fake 0.002124
[209/5000][235/535][21262] Loss_D: -0.037661 Loss_G: -0.001222 Loss_D_real: -0.005565 Loss_D_fake 0.032096
[209/5000][240/535][21263] Loss_D: -0.033966 Loss_G: 0.030735 Loss_D_real: -0.046750 Loss_D_fake -0.012784
[209/5000][245/535][21264] Loss_D: -0.037086 Loss_G: 0.004115 Loss_D_real: -0.017009 Loss_D_fake 0.020077
[209/5000][250/535][21265] Loss_D: -0.038148 Loss_G: 0.005128 Loss_D_real: -0.021864 Loss_D_fake 0.016284
[209/5000][255/535][21266] Loss_D: -0.037068 Loss_G: 0.029244 Loss_D_real: -0.031545 Loss_D_fake 0.005523
[209/5000][260/535][21267] Loss_D: -0.038924 Loss_G: 0.010438 Loss_D_real: -0.019808 Loss_D_fake 0.019116
[209/5000][265/535][21268] Loss_D: -0.037420 Loss_G: 0.032725 Loss_D_real: -0.038727 Loss_D_fake -0.001308
[209/5000][270/535][21269] Loss_D: -0.036111 Loss_G: -0.012412 Loss_D_real: -0.004444 Loss_D_fake 0.031667
[209/5000][275/535][21270] Loss_D: -0.036051 Loss_G: 0.028285 Loss_D_real: -0.030481 Loss_D_fake 0.005571
[209/5000][280/535][21271] Loss_D: -0.037062 Loss_G: 0.007158 Loss_D_real: -0.011213 Loss_D_fake 0.025849
[209/5000][285/535][21272] Loss_D: -0.034782 Loss_G: 0.033318 Loss_D_real: -0.031658 Loss_D_fake 0.003123
[209/5000][290/535][21273] Loss_D: -0.035724 Loss_G: -0.004684 Loss_D_real: -0.009212 Loss_D_fake 0.026511
[209/5000][295/535][21274] Loss_D: -0.036608 Loss_G: 0.027475 Loss_D_real: -0.029963 Loss_D_fake 0.006645
[209/5000][300/535][21275] Loss_D: -0.035515 Loss_G: 0.018204 Loss_D_real: -0.024148 Loss_D_fake 0.011367
[209/5000][305/535][21276] Loss_D: -0.035987 Loss_G: -0.001752 Loss_D_real: -0.011153 Loss_D_fake 0.024834
[209/5000][310/535][21277] Loss_D: -0.034679 Loss_G: 0.026063 Loss_D_real: -0.022329 Loss_D_fake 0.012350
[209/5000][315/535][21278] Loss_D: -0.036448 Loss_G: 0.005432 Loss_D_real: -0.010573 Loss_D_fake 0.025874
[209/5000][320/535][21279] Loss_D: -0.036322 Loss_G: 0.031021 Loss_D_real: -0.030487 Loss_D_fake 0.005835
[209/5000][325/535][21280] Loss_D: -0.037502 Loss_G: 0.011516 Loss_D_real: -0.019759 Loss_D_fake 0.017743
[209/5000][330/535][21281] Loss_D: -0.036961 Loss_G: 0.021427 Loss_D_real: -0.027923 Loss_D_fake 0.009038
[209/5000][335/535][21282] Loss_D: -0.036451 Loss_G: 0.012306 Loss_D_real: -0.026414 Loss_D_fake 0.010037
[209/5000][340/535][21283] Loss_D: -0.037684 Loss_G: 0.020046 Loss_D_real: -0.025368 Loss_D_fake 0.012315
[209/5000][345/535][21284] Loss_D: -0.034290 Loss_G: 0.049347 Loss_D_real: -0.047863 Loss_D_fake -0.013574
[209/5000][350/535][21285] Loss_D: -0.036436 Loss_G: -0.002091 Loss_D_real: -0.010617 Loss_D_fake 0.025819
[209/5000][355/535][21286] Loss_D: -0.032417 Loss_G: 0.037176 Loss_D_real: -0.041424 Loss_D_fake -0.009007
[209/5000][360/535][21287] Loss_D: -0.037280 Loss_G: 0.006371 Loss_D_real: -0.011145 Loss_D_fake 0.026134
[209/5000][365/535][21288] Loss_D: -0.036352 Loss_G: 0.023276 Loss_D_real: -0.028074 Loss_D_fake 0.008279
[209/5000][370/535][21289] Loss_D: -0.037343 Loss_G: 0.010131 Loss_D_real: -0.018170 Loss_D_fake 0.019172
[209/5000][375/535][21290] Loss_D: -0.037225 Loss_G: 0.034463 Loss_D_real: -0.035143 Loss_D_fake 0.002081
[209/5000][380/535][21291] Loss_D: -0.037799 Loss_G: -0.000906 Loss_D_real: -0.012473 Loss_D_fake 0.025326
[209/5000][385/535][21292] Loss_D: -0.035593 Loss_G: 0.034106 Loss_D_real: -0.036121 Loss_D_fake -0.000528
[209/5000][390/535][21293] Loss_D: -0.037080 Loss_G: 0.002959 Loss_D_real: -0.015801 Loss_D_fake 0.021279
[209/5000][395/535][21294] Loss_D: -0.038654 Loss_G: 0.025387 Loss_D_real: -0.030965 Loss_D_fake 0.007689
[209/5000][400/535][21295] Loss_D: -0.037663 Loss_G: -0.005197 Loss_D_real: -0.014956 Loss_D_fake 0.022707
[209/5000][405/535][21296] Loss_D: -0.036634 Loss_G: 0.013980 Loss_D_real: -0.022290 Loss_D_fake 0.014343
[209/5000][410/535][21297] Loss_D: -0.035133 Loss_G: 0.046676 Loss_D_real: -0.049410 Loss_D_fake -0.014277
[209/5000][415/535][21298] Loss_D: -0.038317 Loss_G: 0.017627 Loss_D_real: -0.015148 Loss_D_fake 0.023169
[209/5000][420/535][21299] Loss_D: -0.035312 Loss_G: -0.008030 Loss_D_real: -0.000037 Loss_D_fake 0.035275
[209/5000][425/535][21300] Loss_D: -0.036665 Loss_G: 0.020025 Loss_D_real: -0.030851 Loss_D_fake 0.005814
[209/5000][430/535][21301] Loss_D: -0.038835 Loss_G: 0.008860 Loss_D_real: -0.023099 Loss_D_fake 0.015736
[209/5000][435/535][21302] Loss_D: -0.037616 Loss_G: 0.006009 Loss_D_real: -0.022891 Loss_D_fake 0.014725
[209/5000][440/535][21303] Loss_D: -0.037766 Loss_G: 0.028725 Loss_D_real: -0.030697 Loss_D_fake 0.007069
[209/5000][445/535][21304] Loss_D: -0.038147 Loss_G: 0.035654 Loss_D_real: -0.037813 Loss_D_fake 0.000334
[209/5000][450/535][21305] Loss_D: -0.037031 Loss_G: 0.001942 Loss_D_real: -0.004051 Loss_D_fake 0.032980
[209/5000][455/535][21306] Loss_D: -0.037287 Loss_G: 0.007017 Loss_D_real: -0.012876 Loss_D_fake 0.024411
[209/5000][460/535][21307] Loss_D: -0.036276 Loss_G: 0.028284 Loss_D_real: -0.033041 Loss_D_fake 0.003235
[209/5000][465/535][21308] Loss_D: -0.036879 Loss_G: 0.005337 Loss_D_real: -0.012325 Loss_D_fake 0.024554
[209/5000][470/535][21309] Loss_D: -0.034679 Loss_G: 0.038006 Loss_D_real: -0.038020 Loss_D_fake -0.003341
[209/5000][475/535][21310] Loss_D: -0.037123 Loss_G: 0.017146 Loss_D_real: -0.027979 Loss_D_fake 0.009143
[209/5000][480/535][21311] Loss_D: -0.036254 Loss_G: 0.011426 Loss_D_real: -0.025093 Loss_D_fake 0.011161
[209/5000][485/535][21312] Loss_D: -0.036548 Loss_G: 0.027632 Loss_D_real: -0.033065 Loss_D_fake 0.003483
[209/5000][490/535][21313] Loss_D: -0.037847 Loss_G: 0.015669 Loss_D_real: -0.020888 Loss_D_fake 0.016960
[209/5000][495/535][21314] Loss_D: -0.038779 Loss_G: 0.014117 Loss_D_real: -0.021859 Loss_D_fake 0.016920
[209/5000][500/535][21315] Loss_D: -0.036927 Loss_G: 0.032808 Loss_D_real: -0.036928 Loss_D_fake -0.000000
[209/5000][505/535][21316] Loss_D: -0.036933 Loss_G: 0.025100 Loss_D_real: -0.024762 Loss_D_fake 0.012172
[209/5000][510/535][21317] Loss_D: -0.037690 Loss_G: -0.005875 Loss_D_real: -0.008696 Loss_D_fake 0.028994
[209/5000][515/535][21318] Loss_D: -0.036715 Loss_G: 0.025633 Loss_D_real: -0.031563 Loss_D_fake 0.005152
[209/5000][520/535][21319] Loss_D: -0.038318 Loss_G: 0.017782 Loss_D_real: -0.024249 Loss_D_fake 0.014069
[209/5000][525/535][21320] Loss_D: -0.036840 Loss_G: 0.021680 Loss_D_real: -0.026887 Loss_D_fake 0.009953
[209/5000][530/535][21321] Loss_D: -0.038381 Loss_G: 0.002795 Loss_D_real: -0.011304 Loss_D_fake 0.027077
[209/5000][535/535][21322] Loss_D: -0.034049 Loss_G: 0.031599 Loss_D_real: -0.051472 Loss_D_fake -0.017423
[210/5000][5/535][21323] Loss_D: -0.035287 Loss_G: 0.000695 Loss_D_real: -0.003603 Loss_D_fake 0.031685
[210/5000][10/535][21324] Loss_D: -0.037308 Loss_G: 0.028539 Loss_D_real: -0.033308 Loss_D_fake 0.004000
[210/5000][15/535][21325] Loss_D: -0.037139 Loss_G: 0.030596 Loss_D_real: -0.031162 Loss_D_fake 0.005977
[210/5000][20/535][21326] Loss_D: -0.037793 Loss_G: 0.030092 Loss_D_real: -0.025579 Loss_D_fake 0.012215
[210/5000][25/535][21327] Loss_D: -0.037278 Loss_G: -0.000274 Loss_D_real: -0.014374 Loss_D_fake 0.022904
[210/5000][30/535][21328] Loss_D: -0.036336 Loss_G: 0.036628 Loss_D_real: -0.039400 Loss_D_fake -0.003064
[210/5000][35/535][21329] Loss_D: -0.036362 Loss_G: 0.003052 Loss_D_real: -0.013281 Loss_D_fake 0.023081
[210/5000][40/535][21330] Loss_D: -0.036138 Loss_G: 0.030558 Loss_D_real: -0.034497 Loss_D_fake 0.001641
[210/5000][45/535][21331] Loss_D: -0.036298 Loss_G: 0.029271 Loss_D_real: -0.030775 Loss_D_fake 0.005523
[210/5000][50/535][21332] Loss_D: -0.037135 Loss_G: 0.007769 Loss_D_real: -0.022186 Loss_D_fake 0.014949
[210/5000][55/535][21333] Loss_D: -0.038374 Loss_G: 0.012262 Loss_D_real: -0.023435 Loss_D_fake 0.014939
[210/5000][60/535][21334] Loss_D: -0.037334 Loss_G: 0.018097 Loss_D_real: -0.031006 Loss_D_fake 0.006328
[210/5000][65/535][21335] Loss_D: -0.039079 Loss_G: 0.032834 Loss_D_real: -0.033344 Loss_D_fake 0.005734
[210/5000][70/535][21336] Loss_D: -0.038553 Loss_G: 0.012128 Loss_D_real: -0.016706 Loss_D_fake 0.021847
[210/5000][75/535][21337] Loss_D: -0.037714 Loss_G: 0.031490 Loss_D_real: -0.035626 Loss_D_fake 0.002088
[210/5000][80/535][21338] Loss_D: -0.036754 Loss_G: -0.000409 Loss_D_real: -0.008393 Loss_D_fake 0.028361
[210/5000][85/535][21339] Loss_D: -0.038351 Loss_G: 0.020175 Loss_D_real: -0.035658 Loss_D_fake 0.002693
[210/5000][90/535][21340] Loss_D: -0.037187 Loss_G: 0.012515 Loss_D_real: -0.019339 Loss_D_fake 0.017847
[210/5000][95/535][21341] Loss_D: -0.036936 Loss_G: -0.007791 Loss_D_real: -0.009167 Loss_D_fake 0.027769
[210/5000][100/535][21342] Loss_D: -0.036755 Loss_G: 0.042739 Loss_D_real: -0.037902 Loss_D_fake -0.001147
[210/5000][105/535][21343] Loss_D: -0.036206 Loss_G: -0.003198 Loss_D_real: -0.014106 Loss_D_fake 0.022100
[210/5000][110/535][21344] Loss_D: -0.035853 Loss_G: 0.030180 Loss_D_real: -0.038720 Loss_D_fake -0.002867
[210/5000][115/535][21345] Loss_D: -0.036413 Loss_G: 0.003553 Loss_D_real: -0.009305 Loss_D_fake 0.027108
[210/5000][120/535][21346] Loss_D: -0.036822 Loss_G: 0.019317 Loss_D_real: -0.034532 Loss_D_fake 0.002290
[210/5000][125/535][21347] Loss_D: -0.038283 Loss_G: 0.005848 Loss_D_real: -0.017531 Loss_D_fake 0.020752
[210/5000][130/535][21348] Loss_D: -0.037540 Loss_G: 0.045366 Loss_D_real: -0.047827 Loss_D_fake -0.010288
[210/5000][135/535][21349] Loss_D: -0.036772 Loss_G: 0.012512 Loss_D_real: -0.017381 Loss_D_fake 0.019390
[210/5000][140/535][21350] Loss_D: -0.038821 Loss_G: 0.005399 Loss_D_real: -0.014856 Loss_D_fake 0.023965
[210/5000][145/535][21351] Loss_D: -0.036950 Loss_G: 0.005036 Loss_D_real: -0.018842 Loss_D_fake 0.018108
[210/5000][150/535][21352] Loss_D: -0.037311 Loss_G: 0.025563 Loss_D_real: -0.029500 Loss_D_fake 0.007811
[210/5000][155/535][21353] Loss_D: -0.039413 Loss_G: 0.032240 Loss_D_real: -0.033352 Loss_D_fake 0.006061
[210/5000][160/535][21354] Loss_D: -0.037201 Loss_G: -0.014893 Loss_D_real: -0.007423 Loss_D_fake 0.029779
[210/5000][165/535][21355] Loss_D: -0.035593 Loss_G: 0.033378 Loss_D_real: -0.036959 Loss_D_fake -0.001366
[210/5000][170/535][21356] Loss_D: -0.035691 Loss_G: 0.015217 Loss_D_real: -0.023394 Loss_D_fake 0.012297
[210/5000][175/535][21357] Loss_D: -0.036763 Loss_G: 0.014288 Loss_D_real: -0.022977 Loss_D_fake 0.013786
[210/5000][180/535][21358] Loss_D: -0.035246 Loss_G: 0.012212 Loss_D_real: -0.016768 Loss_D_fake 0.018478
[210/5000][185/535][21359] Loss_D: -0.036578 Loss_G: 0.033657 Loss_D_real: -0.039621 Loss_D_fake -0.003043
[210/5000][190/535][21360] Loss_D: -0.037456 Loss_G: 0.019493 Loss_D_real: -0.023919 Loss_D_fake 0.013537
[210/5000][195/535][21361] Loss_D: -0.036372 Loss_G: 0.019965 Loss_D_real: -0.033768 Loss_D_fake 0.002604
[210/5000][200/535][21362] Loss_D: -0.036995 Loss_G: 0.013575 Loss_D_real: -0.014099 Loss_D_fake 0.022896
[210/5000][205/535][21363] Loss_D: -0.039231 Loss_G: 0.009992 Loss_D_real: -0.026224 Loss_D_fake 0.013007
[210/5000][210/535][21364] Loss_D: -0.037847 Loss_G: 0.023443 Loss_D_real: -0.031710 Loss_D_fake 0.006136
[210/5000][215/535][21365] Loss_D: -0.038551 Loss_G: 0.020681 Loss_D_real: -0.027009 Loss_D_fake 0.011541
[210/5000][220/535][21366] Loss_D: -0.037666 Loss_G: 0.036529 Loss_D_real: -0.036562 Loss_D_fake 0.001104
[210/5000][225/535][21367] Loss_D: -0.038041 Loss_G: 0.012701 Loss_D_real: -0.017715 Loss_D_fake 0.020326
[210/5000][230/535][21368] Loss_D: -0.036738 Loss_G: 0.014675 Loss_D_real: -0.021415 Loss_D_fake 0.015323
[210/5000][235/535][21369] Loss_D: -0.038338 Loss_G: 0.026001 Loss_D_real: -0.028120 Loss_D_fake 0.010217
[210/5000][240/535][21370] Loss_D: -0.038723 Loss_G: 0.007828 Loss_D_real: -0.021877 Loss_D_fake 0.016847
[210/5000][245/535][21371] Loss_D: -0.036891 Loss_G: 0.030962 Loss_D_real: -0.037337 Loss_D_fake -0.000445
[210/5000][250/535][21372] Loss_D: -0.036119 Loss_G: -0.006721 Loss_D_real: -0.013947 Loss_D_fake 0.022172
[210/5000][255/535][21373] Loss_D: -0.033551 Loss_G: 0.038780 Loss_D_real: -0.049401 Loss_D_fake -0.015850
[210/5000][260/535][21374] Loss_D: -0.037964 Loss_G: 0.021186 Loss_D_real: -0.029701 Loss_D_fake 0.008264
[210/5000][265/535][21375] Loss_D: -0.037579 Loss_G: 0.027538 Loss_D_real: -0.031249 Loss_D_fake 0.006330
[210/5000][270/535][21376] Loss_D: -0.034478 Loss_G: 0.027624 Loss_D_real: -0.031324 Loss_D_fake 0.003154
[210/5000][275/535][21377] Loss_D: -0.036531 Loss_G: 0.009162 Loss_D_real: -0.013897 Loss_D_fake 0.022634
[210/5000][280/535][21378] Loss_D: -0.036553 Loss_G: 0.019840 Loss_D_real: -0.031377 Loss_D_fake 0.005176
[210/5000][285/535][21379] Loss_D: -0.038187 Loss_G: 0.035045 Loss_D_real: -0.033757 Loss_D_fake 0.004431
[210/5000][290/535][21380] Loss_D: -0.037169 Loss_G: 0.015821 Loss_D_real: -0.018312 Loss_D_fake 0.018857
[210/5000][295/535][21381] Loss_D: -0.035133 Loss_G: -0.008287 Loss_D_real: -0.007192 Loss_D_fake 0.027942
[210/5000][300/535][21382] Loss_D: -0.035962 Loss_G: 0.024524 Loss_D_real: -0.035166 Loss_D_fake 0.000797
[210/5000][305/535][21383] Loss_D: -0.035994 Loss_G: -0.005994 Loss_D_real: -0.007046 Loss_D_fake 0.028948
[210/5000][310/535][21384] Loss_D: -0.033931 Loss_G: 0.033822 Loss_D_real: -0.037778 Loss_D_fake -0.003847
[210/5000][315/535][21385] Loss_D: -0.038236 Loss_G: 0.006021 Loss_D_real: -0.014807 Loss_D_fake 0.023429
[210/5000][320/535][21386] Loss_D: -0.035468 Loss_G: 0.018151 Loss_D_real: -0.024650 Loss_D_fake 0.010818
[210/5000][325/535][21387] Loss_D: -0.036316 Loss_G: 0.032109 Loss_D_real: -0.027248 Loss_D_fake 0.009068
[210/5000][330/535][21388] Loss_D: -0.039954 Loss_G: 0.011605 Loss_D_real: -0.019184 Loss_D_fake 0.020770
[210/5000][335/535][21389] Loss_D: -0.036001 Loss_G: 0.035966 Loss_D_real: -0.041388 Loss_D_fake -0.005387
[210/5000][340/535][21390] Loss_D: -0.039026 Loss_G: 0.014306 Loss_D_real: -0.016328 Loss_D_fake 0.022699
[210/5000][345/535][21391] Loss_D: -0.036819 Loss_G: 0.045619 Loss_D_real: -0.044036 Loss_D_fake -0.007217
[210/5000][350/535][21392] Loss_D: -0.036926 Loss_G: 0.035226 Loss_D_real: -0.039749 Loss_D_fake -0.002823
[210/5000][355/535][21393] Loss_D: -0.038990 Loss_G: -0.004005 Loss_D_real: -0.008154 Loss_D_fake 0.030836
[210/5000][360/535][21394] Loss_D: -0.036263 Loss_G: 0.030396 Loss_D_real: -0.038674 Loss_D_fake -0.002411
[210/5000][365/535][21395] Loss_D: -0.036387 Loss_G: 0.002677 Loss_D_real: -0.011422 Loss_D_fake 0.024965
[210/5000][370/535][21396] Loss_D: -0.037353 Loss_G: 0.019320 Loss_D_real: -0.025068 Loss_D_fake 0.012285
[210/5000][375/535][21397] Loss_D: -0.036817 Loss_G: 0.035588 Loss_D_real: -0.034173 Loss_D_fake 0.002644
[210/5000][380/535][21398] Loss_D: -0.037686 Loss_G: -0.001926 Loss_D_real: -0.009956 Loss_D_fake 0.027730
[210/5000][385/535][21399] Loss_D: -0.035767 Loss_G: 0.042553 Loss_D_real: -0.040880 Loss_D_fake -0.005113
[210/5000][390/535][21400] Loss_D: -0.037046 Loss_G: 0.021519 Loss_D_real: -0.033739 Loss_D_fake 0.003306
[210/5000][395/535][21401] Loss_D: -0.038092 Loss_G: 0.023345 Loss_D_real: -0.029620 Loss_D_fake 0.008472
[210/5000][400/535][21402] Loss_D: -0.038743 Loss_G: 0.028286 Loss_D_real: -0.033585 Loss_D_fake 0.005158
[210/5000][405/535][21403] Loss_D: -0.037623 Loss_G: 0.012040 Loss_D_real: -0.016648 Loss_D_fake 0.020974
[210/5000][410/535][21404] Loss_D: -0.038457 Loss_G: 0.031843 Loss_D_real: -0.033249 Loss_D_fake 0.005208
[210/5000][415/535][21405] Loss_D: -0.037412 Loss_G: 0.027078 Loss_D_real: -0.034805 Loss_D_fake 0.002608
[210/5000][420/535][21406] Loss_D: -0.036447 Loss_G: 0.038663 Loss_D_real: -0.035500 Loss_D_fake 0.000947
[210/5000][425/535][21407] Loss_D: -0.036008 Loss_G: 0.040438 Loss_D_real: -0.040168 Loss_D_fake -0.004159
[210/5000][430/535][21408] Loss_D: -0.036802 Loss_G: 0.024100 Loss_D_real: -0.032281 Loss_D_fake 0.004520
[210/5000][435/535][21409] Loss_D: -0.038150 Loss_G: 0.003502 Loss_D_real: -0.018398 Loss_D_fake 0.019753
[210/5000][440/535][21410] Loss_D: -0.037069 Loss_G: 0.016947 Loss_D_real: -0.022335 Loss_D_fake 0.014734
[210/5000][445/535][21411] Loss_D: -0.036316 Loss_G: 0.025640 Loss_D_real: -0.020356 Loss_D_fake 0.015960
[210/5000][450/535][21412] Loss_D: -0.036606 Loss_G: 0.013485 Loss_D_real: -0.022417 Loss_D_fake 0.014189
[210/5000][455/535][21413] Loss_D: -0.038178 Loss_G: 0.031064 Loss_D_real: -0.035379 Loss_D_fake 0.002799
[210/5000][460/535][21414] Loss_D: -0.037315 Loss_G: 0.044579 Loss_D_real: -0.038384 Loss_D_fake -0.001069
[210/5000][465/535][21415] Loss_D: -0.034062 Loss_G: 0.000882 Loss_D_real: -0.011887 Loss_D_fake 0.022175
[210/5000][470/535][21416] Loss_D: -0.036809 Loss_G: 0.009371 Loss_D_real: -0.026884 Loss_D_fake 0.009926
[210/5000][475/535][21417] Loss_D: -0.036151 Loss_G: 0.031086 Loss_D_real: -0.036938 Loss_D_fake -0.000787
[210/5000][480/535][21418] Loss_D: -0.036452 Loss_G: 0.007257 Loss_D_real: -0.013333 Loss_D_fake 0.023119
[210/5000][485/535][21419] Loss_D: -0.037334 Loss_G: 0.015867 Loss_D_real: -0.016315 Loss_D_fake 0.021019
[210/5000][490/535][21420] Loss_D: -0.038250 Loss_G: 0.032430 Loss_D_real: -0.030421 Loss_D_fake 0.007828
[210/5000][495/535][21421] Loss_D: -0.036372 Loss_G: -0.018137 Loss_D_real: -0.000448 Loss_D_fake 0.035924
[210/5000][500/535][21422] Loss_D: -0.035836 Loss_G: 0.025004 Loss_D_real: -0.027547 Loss_D_fake 0.008288
[210/5000][505/535][21423] Loss_D: -0.034896 Loss_G: 0.036859 Loss_D_real: -0.045532 Loss_D_fake -0.010636
[210/5000][510/535][21424] Loss_D: -0.036271 Loss_G: -0.001041 Loss_D_real: -0.008900 Loss_D_fake 0.027371
[210/5000][515/535][21425] Loss_D: -0.034224 Loss_G: 0.000581 Loss_D_real: -0.001893 Loss_D_fake 0.032331
[210/5000][520/535][21426] Loss_D: -0.035321 Loss_G: 0.023820 Loss_D_real: -0.032014 Loss_D_fake 0.003306
[210/5000][525/535][21427] Loss_D: -0.037249 Loss_G: 0.007534 Loss_D_real: -0.014313 Loss_D_fake 0.022936
[210/5000][530/535][21428] Loss_D: -0.036695 Loss_G: 0.024983 Loss_D_real: -0.027032 Loss_D_fake 0.009663
[210/5000][535/535][21429] Loss_D: -0.036575 Loss_G: -0.000956 Loss_D_real: -0.025583 Loss_D_fake 0.010991
[211/5000][5/535][21430] Loss_D: -0.036482 Loss_G: 0.025438 Loss_D_real: -0.028167 Loss_D_fake 0.008315
[211/5000][10/535][21431] Loss_D: -0.035905 Loss_G: 0.010397 Loss_D_real: -0.021747 Loss_D_fake 0.014158
[211/5000][15/535][21432] Loss_D: -0.035344 Loss_G: 0.037564 Loss_D_real: -0.042814 Loss_D_fake -0.007470
[211/5000][20/535][21433] Loss_D: -0.035076 Loss_G: 0.019627 Loss_D_real: -0.021304 Loss_D_fake 0.013772
[211/5000][25/535][21434] Loss_D: -0.036583 Loss_G: 0.012945 Loss_D_real: -0.026288 Loss_D_fake 0.010295
[211/5000][30/535][21435] Loss_D: -0.035614 Loss_G: 0.024753 Loss_D_real: -0.035978 Loss_D_fake -0.000364
[211/5000][35/535][21436] Loss_D: -0.037016 Loss_G: 0.006595 Loss_D_real: -0.012454 Loss_D_fake 0.024562
[211/5000][40/535][21437] Loss_D: -0.037189 Loss_G: 0.037258 Loss_D_real: -0.033082 Loss_D_fake 0.004106
[211/5000][45/535][21438] Loss_D: -0.036965 Loss_G: 0.008214 Loss_D_real: -0.013095 Loss_D_fake 0.023870
[211/5000][50/535][21439] Loss_D: -0.035451 Loss_G: 0.033217 Loss_D_real: -0.035434 Loss_D_fake 0.000018
[211/5000][55/535][21440] Loss_D: -0.036987 Loss_G: 0.022753 Loss_D_real: -0.022795 Loss_D_fake 0.014192
[211/5000][60/535][21441] Loss_D: -0.037635 Loss_G: 0.009801 Loss_D_real: -0.020257 Loss_D_fake 0.017378
[211/5000][65/535][21442] Loss_D: -0.037671 Loss_G: 0.040985 Loss_D_real: -0.038552 Loss_D_fake -0.000881
[211/5000][70/535][21443] Loss_D: -0.036140 Loss_G: 0.004329 Loss_D_real: -0.011998 Loss_D_fake 0.024142
[211/5000][75/535][21444] Loss_D: -0.036957 Loss_G: 0.002975 Loss_D_real: -0.016828 Loss_D_fake 0.020129
[211/5000][80/535][21445] Loss_D: -0.035565 Loss_G: 0.046222 Loss_D_real: -0.044648 Loss_D_fake -0.009084
[211/5000][85/535][21446] Loss_D: -0.036604 Loss_G: 0.014536 Loss_D_real: -0.025526 Loss_D_fake 0.011077
[211/5000][90/535][21447] Loss_D: -0.036883 Loss_G: 0.017907 Loss_D_real: -0.022180 Loss_D_fake 0.014704
[211/5000][95/535][21448] Loss_D: -0.037297 Loss_G: -0.007258 Loss_D_real: -0.006734 Loss_D_fake 0.030563
[211/5000][100/535][21449] Loss_D: -0.036177 Loss_G: 0.015201 Loss_D_real: -0.020817 Loss_D_fake 0.015361
[211/5000][105/535][21450] Loss_D: -0.036839 Loss_G: 0.012636 Loss_D_real: -0.022817 Loss_D_fake 0.014023
[211/5000][110/535][21451] Loss_D: -0.034609 Loss_G: 0.038381 Loss_D_real: -0.033978 Loss_D_fake 0.000631
[211/5000][115/535][21452] Loss_D: -0.035101 Loss_G: -0.005293 Loss_D_real: -0.001602 Loss_D_fake 0.033499
[211/5000][120/535][21453] Loss_D: -0.036651 Loss_G: 0.019034 Loss_D_real: -0.024667 Loss_D_fake 0.011984
[211/5000][125/535][21454] Loss_D: -0.035675 Loss_G: 0.030190 Loss_D_real: -0.030904 Loss_D_fake 0.004771
[211/5000][130/535][21455] Loss_D: -0.038440 Loss_G: 0.014209 Loss_D_real: -0.024738 Loss_D_fake 0.013701
[211/5000][135/535][21456] Loss_D: -0.038110 Loss_G: 0.022544 Loss_D_real: -0.027629 Loss_D_fake 0.010481
[211/5000][140/535][21457] Loss_D: -0.034387 Loss_G: 0.035180 Loss_D_real: -0.045792 Loss_D_fake -0.011404
[211/5000][145/535][21458] Loss_D: -0.036399 Loss_G: -0.015556 Loss_D_real: -0.000654 Loss_D_fake 0.035745
[211/5000][150/535][21459] Loss_D: -0.035922 Loss_G: 0.020198 Loss_D_real: -0.028358 Loss_D_fake 0.007564
[211/5000][155/535][21460] Loss_D: -0.034265 Loss_G: 0.024465 Loss_D_real: -0.018913 Loss_D_fake 0.015352
[211/5000][160/535][21461] Loss_D: -0.037034 Loss_G: -0.000322 Loss_D_real: -0.011356 Loss_D_fake 0.025678
[211/5000][165/535][21462] Loss_D: -0.033919 Loss_G: 0.040201 Loss_D_real: -0.045440 Loss_D_fake -0.011521
[211/5000][170/535][21463] Loss_D: -0.034625 Loss_G: -0.008410 Loss_D_real: 0.001435 Loss_D_fake 0.036060
[211/5000][175/535][21464] Loss_D: -0.036264 Loss_G: 0.015421 Loss_D_real: -0.023145 Loss_D_fake 0.013119
[211/5000][180/535][21465] Loss_D: -0.036670 Loss_G: 0.032377 Loss_D_real: -0.032654 Loss_D_fake 0.004015
[211/5000][185/535][21466] Loss_D: -0.037936 Loss_G: 0.033114 Loss_D_real: -0.034646 Loss_D_fake 0.003291
[211/5000][190/535][21467] Loss_D: -0.033371 Loss_G: 0.041208 Loss_D_real: -0.041093 Loss_D_fake -0.007722
[211/5000][195/535][21468] Loss_D: -0.037792 Loss_G: -0.007778 Loss_D_real: -0.005261 Loss_D_fake 0.032531
[211/5000][200/535][21469] Loss_D: -0.035448 Loss_G: 0.019652 Loss_D_real: -0.025696 Loss_D_fake 0.009752
[211/5000][205/535][21470] Loss_D: -0.036301 Loss_G: 0.005986 Loss_D_real: -0.015745 Loss_D_fake 0.020555
[211/5000][210/535][21471] Loss_D: -0.036843 Loss_G: 0.031774 Loss_D_real: -0.030796 Loss_D_fake 0.006046
[211/5000][215/535][21472] Loss_D: -0.037693 Loss_G: 0.014117 Loss_D_real: -0.017592 Loss_D_fake 0.020101
[211/5000][220/535][21473] Loss_D: -0.036560 Loss_G: 0.024765 Loss_D_real: -0.030024 Loss_D_fake 0.006536
[211/5000][225/535][21474] Loss_D: -0.038022 Loss_G: 0.004830 Loss_D_real: -0.012844 Loss_D_fake 0.025178
[211/5000][230/535][21475] Loss_D: -0.036567 Loss_G: 0.026361 Loss_D_real: -0.029877 Loss_D_fake 0.006690
[211/5000][235/535][21476] Loss_D: -0.037750 Loss_G: 0.007968 Loss_D_real: -0.016298 Loss_D_fake 0.021452
[211/5000][240/535][21477] Loss_D: -0.038218 Loss_G: 0.034488 Loss_D_real: -0.040482 Loss_D_fake -0.002263
[211/5000][245/535][21478] Loss_D: -0.036973 Loss_G: -0.003939 Loss_D_real: -0.010830 Loss_D_fake 0.026142
[211/5000][250/535][21479] Loss_D: -0.036710 Loss_G: 0.037165 Loss_D_real: -0.034731 Loss_D_fake 0.001978
[211/5000][255/535][21480] Loss_D: -0.036658 Loss_G: 0.001016 Loss_D_real: -0.013553 Loss_D_fake 0.023105
[211/5000][260/535][21481] Loss_D: -0.038439 Loss_G: 0.012477 Loss_D_real: -0.021182 Loss_D_fake 0.017256
[211/5000][265/535][21482] Loss_D: -0.039050 Loss_G: 0.029004 Loss_D_real: -0.025455 Loss_D_fake 0.013595
[211/5000][270/535][21483] Loss_D: -0.036819 Loss_G: 0.010456 Loss_D_real: -0.023493 Loss_D_fake 0.013326
[211/5000][275/535][21484] Loss_D: -0.033960 Loss_G: 0.034874 Loss_D_real: -0.044218 Loss_D_fake -0.010258
[211/5000][280/535][21485] Loss_D: -0.036125 Loss_G: -0.013957 Loss_D_real: -0.000855 Loss_D_fake 0.035270
[211/5000][285/535][21486] Loss_D: -0.034755 Loss_G: 0.038339 Loss_D_real: -0.040663 Loss_D_fake -0.005908
[211/5000][290/535][21487] Loss_D: -0.035130 Loss_G: 0.000707 Loss_D_real: -0.006577 Loss_D_fake 0.028553
[211/5000][295/535][21488] Loss_D: -0.035886 Loss_G: 0.015299 Loss_D_real: -0.026932 Loss_D_fake 0.008954
[211/5000][300/535][21489] Loss_D: -0.035874 Loss_G: 0.011764 Loss_D_real: -0.021132 Loss_D_fake 0.014743
[211/5000][305/535][21490] Loss_D: -0.036331 Loss_G: 0.016458 Loss_D_real: -0.018998 Loss_D_fake 0.017333
[211/5000][310/535][21491] Loss_D: -0.037236 Loss_G: 0.011120 Loss_D_real: -0.022610 Loss_D_fake 0.014626
[211/5000][315/535][21492] Loss_D: -0.037411 Loss_G: 0.023971 Loss_D_real: -0.033754 Loss_D_fake 0.003658
[211/5000][320/535][21493] Loss_D: -0.038721 Loss_G: 0.018652 Loss_D_real: -0.026259 Loss_D_fake 0.012461
[211/5000][325/535][21494] Loss_D: -0.038191 Loss_G: 0.031128 Loss_D_real: -0.028775 Loss_D_fake 0.009417
[211/5000][330/535][21495] Loss_D: -0.039934 Loss_G: 0.003539 Loss_D_real: -0.020718 Loss_D_fake 0.019216
[211/5000][335/535][21496] Loss_D: -0.034618 Loss_G: 0.056114 Loss_D_real: -0.049407 Loss_D_fake -0.014789
[211/5000][340/535][21497] Loss_D: -0.035020 Loss_G: 0.009543 Loss_D_real: -0.013995 Loss_D_fake 0.021025
[211/5000][345/535][21498] Loss_D: -0.037401 Loss_G: 0.012691 Loss_D_real: -0.022268 Loss_D_fake 0.015132
[211/5000][350/535][21499] Loss_D: -0.037073 Loss_G: 0.021420 Loss_D_real: -0.023957 Loss_D_fake 0.013117
[211/5000][355/535][21500] Loss_D: -0.037147 Loss_G: -0.002636 Loss_D_real: -0.004803 Loss_D_fake 0.032344
[211/5000][455/535][21501] Loss_D: -0.040338 Loss_G: 0.038252 Loss_D_real: -0.046156 Loss_D_fake -0.005818
[211/5000][460/535][21502] Loss_D: -0.037907 Loss_G: 0.021183 Loss_D_real: -0.022471 Loss_D_fake 0.015435
[211/5000][465/535][21503] Loss_D: -0.035192 Loss_G: 0.022232 Loss_D_real: -0.021644 Loss_D_fake 0.013548
[211/5000][470/535][21504] Loss_D: -0.034214 Loss_G: 0.023781 Loss_D_real: -0.028000 Loss_D_fake 0.006214
[211/5000][475/535][21505] Loss_D: -0.036291 Loss_G: 0.019643 Loss_D_real: -0.027417 Loss_D_fake 0.008874
[211/5000][480/535][21506] Loss_D: -0.037750 Loss_G: 0.030191 Loss_D_real: -0.030780 Loss_D_fake 0.006970
[211/5000][485/535][21507] Loss_D: -0.036520 Loss_G: 0.012485 Loss_D_real: -0.016710 Loss_D_fake 0.019810
[211/5000][490/535][21508] Loss_D: -0.037885 Loss_G: 0.016226 Loss_D_real: -0.024266 Loss_D_fake 0.013619
[211/5000][495/535][21509] Loss_D: -0.036233 Loss_G: 0.027129 Loss_D_real: -0.024953 Loss_D_fake 0.011280
[211/5000][500/535][21510] Loss_D: -0.036816 Loss_G: 0.021179 Loss_D_real: -0.022423 Loss_D_fake 0.014394
[211/5000][505/535][21511] Loss_D: -0.036684 Loss_G: 0.012622 Loss_D_real: -0.016105 Loss_D_fake 0.020579
[211/5000][510/535][21512] Loss_D: -0.037408 Loss_G: 0.006908 Loss_D_real: -0.016263 Loss_D_fake 0.021145
[211/5000][515/535][21513] Loss_D: -0.036671 Loss_G: 0.023311 Loss_D_real: -0.030669 Loss_D_fake 0.006001
[211/5000][520/535][21514] Loss_D: -0.038078 Loss_G: 0.005749 Loss_D_real: -0.014924 Loss_D_fake 0.023154
[211/5000][525/535][21515] Loss_D: -0.037934 Loss_G: 0.011139 Loss_D_real: -0.027895 Loss_D_fake 0.010039
[211/5000][530/535][21516] Loss_D: -0.037798 Loss_G: 0.022871 Loss_D_real: -0.028539 Loss_D_fake 0.009259
[211/5000][535/535][21517] Loss_D: -0.037413 Loss_G: 0.018525 Loss_D_real: -0.019856 Loss_D_fake 0.017556
[212/5000][5/535][21518] Loss_D: -0.035804 Loss_G: 0.018348 Loss_D_real: -0.022803 Loss_D_fake 0.013001
[212/5000][10/535][21519] Loss_D: -0.035084 Loss_G: 0.035867 Loss_D_real: -0.046381 Loss_D_fake -0.011297
[212/5000][15/535][21520] Loss_D: -0.036236 Loss_G: -0.007880 Loss_D_real: -0.008089 Loss_D_fake 0.028146
[212/5000][20/535][21521] Loss_D: -0.035308 Loss_G: 0.028716 Loss_D_real: -0.028032 Loss_D_fake 0.007276
[212/5000][25/535][21522] Loss_D: -0.036684 Loss_G: 0.001192 Loss_D_real: -0.018903 Loss_D_fake 0.017781
[212/5000][30/535][21523] Loss_D: -0.035284 Loss_G: 0.033692 Loss_D_real: -0.039621 Loss_D_fake -0.004338
[212/5000][35/535][21524] Loss_D: -0.036868 Loss_G: 0.013085 Loss_D_real: -0.016545 Loss_D_fake 0.020323
[212/5000][40/535][21525] Loss_D: -0.037377 Loss_G: 0.025908 Loss_D_real: -0.026224 Loss_D_fake 0.011153
[212/5000][45/535][21526] Loss_D: -0.036917 Loss_G: 0.022828 Loss_D_real: -0.035639 Loss_D_fake 0.001278
[212/5000][50/535][21527] Loss_D: -0.037529 Loss_G: 0.036865 Loss_D_real: -0.034504 Loss_D_fake 0.003025
[212/5000][55/535][21528] Loss_D: -0.036832 Loss_G: 0.006116 Loss_D_real: -0.013094 Loss_D_fake 0.023738
[212/5000][60/535][21529] Loss_D: -0.036907 Loss_G: 0.030530 Loss_D_real: -0.035829 Loss_D_fake 0.001078
[212/5000][65/535][21530] Loss_D: -0.037235 Loss_G: 0.000349 Loss_D_real: -0.015226 Loss_D_fake 0.022009
[212/5000][70/535][21531] Loss_D: -0.036799 Loss_G: 0.034491 Loss_D_real: -0.035536 Loss_D_fake 0.001263
[212/5000][75/535][21532] Loss_D: -0.035919 Loss_G: 0.009020 Loss_D_real: -0.014018 Loss_D_fake 0.021901
[212/5000][80/535][21533] Loss_D: -0.035967 Loss_G: 0.017157 Loss_D_real: -0.024826 Loss_D_fake 0.011141
[212/5000][85/535][21534] Loss_D: -0.037098 Loss_G: 0.032906 Loss_D_real: -0.034638 Loss_D_fake 0.002459
[212/5000][90/535][21535] Loss_D: -0.037262 Loss_G: 0.020443 Loss_D_real: -0.020331 Loss_D_fake 0.016931
[212/5000][95/535][21536] Loss_D: -0.038021 Loss_G: 0.042905 Loss_D_real: -0.039473 Loss_D_fake -0.001452
[212/5000][100/535][21537] Loss_D: -0.037554 Loss_G: 0.031680 Loss_D_real: -0.029078 Loss_D_fake 0.008476
[212/5000][105/535][21538] Loss_D: -0.038268 Loss_G: 0.005434 Loss_D_real: -0.018190 Loss_D_fake 0.020077
[212/5000][110/535][21539] Loss_D: -0.036381 Loss_G: 0.031471 Loss_D_real: -0.037212 Loss_D_fake -0.000832
[212/5000][115/535][21540] Loss_D: -0.039201 Loss_G: 0.025355 Loss_D_real: -0.032415 Loss_D_fake 0.006786
[212/5000][120/535][21541] Loss_D: -0.036807 Loss_G: 0.024195 Loss_D_real: -0.022357 Loss_D_fake 0.014450
[212/5000][125/535][21542] Loss_D: -0.036313 Loss_G: 0.038412 Loss_D_real: -0.040299 Loss_D_fake -0.003986
[212/5000][130/535][21543] Loss_D: -0.036848 Loss_G: -0.010396 Loss_D_real: -0.005134 Loss_D_fake 0.031714
[212/5000][135/535][21544] Loss_D: -0.035508 Loss_G: 0.031718 Loss_D_real: -0.040026 Loss_D_fake -0.004518
[212/5000][140/535][21545] Loss_D: -0.038816 Loss_G: 0.032562 Loss_D_real: -0.033702 Loss_D_fake 0.005115
[212/5000][145/535][21546] Loss_D: -0.039262 Loss_G: 0.006551 Loss_D_real: -0.015570 Loss_D_fake 0.023693
[212/5000][150/535][21547] Loss_D: -0.036566 Loss_G: 0.024017 Loss_D_real: -0.035714 Loss_D_fake 0.000852
[212/5000][155/535][21548] Loss_D: -0.036822 Loss_G: 0.012718 Loss_D_real: -0.011456 Loss_D_fake 0.025366
[212/5000][160/535][21549] Loss_D: -0.035953 Loss_G: 0.027735 Loss_D_real: -0.034436 Loss_D_fake 0.001517
[212/5000][165/535][21550] Loss_D: -0.037023 Loss_G: 0.026243 Loss_D_real: -0.027130 Loss_D_fake 0.009892
[212/5000][170/535][21551] Loss_D: -0.037040 Loss_G: 0.018438 Loss_D_real: -0.018943 Loss_D_fake 0.018097
[212/5000][175/535][21552] Loss_D: -0.036621 Loss_G: 0.036608 Loss_D_real: -0.040407 Loss_D_fake -0.003786
[212/5000][180/535][21553] Loss_D: -0.038041 Loss_G: 0.008092 Loss_D_real: -0.016007 Loss_D_fake 0.022034
[212/5000][185/535][21554] Loss_D: -0.035954 Loss_G: 0.039047 Loss_D_real: -0.037720 Loss_D_fake -0.001766
[212/5000][190/535][21555] Loss_D: -0.036864 Loss_G: 0.024276 Loss_D_real: -0.023444 Loss_D_fake 0.013420
[212/5000][195/535][21556] Loss_D: -0.038260 Loss_G: 0.015801 Loss_D_real: -0.025199 Loss_D_fake 0.013061
[212/5000][200/535][21557] Loss_D: -0.037753 Loss_G: -0.001616 Loss_D_real: -0.009530 Loss_D_fake 0.028223
[212/5000][205/535][21558] Loss_D: -0.036033 Loss_G: 0.038917 Loss_D_real: -0.043072 Loss_D_fake -0.007039
[212/5000][210/535][21559] Loss_D: -0.036550 Loss_G: 0.005602 Loss_D_real: -0.008448 Loss_D_fake 0.028101
[212/5000][215/535][21560] Loss_D: -0.037322 Loss_G: 0.009776 Loss_D_real: -0.021544 Loss_D_fake 0.015777
[212/5000][220/535][21561] Loss_D: -0.034506 Loss_G: 0.026035 Loss_D_real: -0.033893 Loss_D_fake 0.000613
[212/5000][225/535][21562] Loss_D: -0.035777 Loss_G: 0.008460 Loss_D_real: -0.018475 Loss_D_fake 0.017301
[212/5000][230/535][21563] Loss_D: -0.036832 Loss_G: 0.015874 Loss_D_real: -0.026843 Loss_D_fake 0.009989
[212/5000][235/535][21564] Loss_D: -0.036506 Loss_G: 0.015345 Loss_D_real: -0.028498 Loss_D_fake 0.008008
[212/5000][240/535][21565] Loss_D: -0.037268 Loss_G: 0.032740 Loss_D_real: -0.032866 Loss_D_fake 0.004402
[212/5000][245/535][21566] Loss_D: -0.037374 Loss_G: -0.000894 Loss_D_real: -0.011302 Loss_D_fake 0.026072
[212/5000][250/535][21567] Loss_D: -0.037580 Loss_G: 0.020747 Loss_D_real: -0.025081 Loss_D_fake 0.012499
[212/5000][255/535][21568] Loss_D: -0.035200 Loss_G: 0.009758 Loss_D_real: -0.020334 Loss_D_fake 0.014866
[212/5000][260/535][21569] Loss_D: -0.035625 Loss_G: 0.029488 Loss_D_real: -0.037621 Loss_D_fake -0.001997
[212/5000][265/535][21570] Loss_D: -0.035857 Loss_G: -0.014570 Loss_D_real: -0.002474 Loss_D_fake 0.033383
[212/5000][270/535][21571] Loss_D: -0.035438 Loss_G: 0.018945 Loss_D_real: -0.028329 Loss_D_fake 0.007108
[212/5000][275/535][21572] Loss_D: -0.036421 Loss_G: 0.017184 Loss_D_real: -0.024248 Loss_D_fake 0.012173
[212/5000][280/535][21573] Loss_D: -0.036936 Loss_G: 0.040402 Loss_D_real: -0.038444 Loss_D_fake -0.001507
[212/5000][285/535][21574] Loss_D: -0.034455 Loss_G: 0.043851 Loss_D_real: -0.038889 Loss_D_fake -0.004434
[212/5000][290/535][21575] Loss_D: -0.036717 Loss_G: -0.008597 Loss_D_real: -0.008976 Loss_D_fake 0.027741
[212/5000][295/535][21576] Loss_D: -0.035827 Loss_G: 0.022035 Loss_D_real: -0.026178 Loss_D_fake 0.009648
[212/5000][300/535][21577] Loss_D: -0.037126 Loss_G: 0.011624 Loss_D_real: -0.017256 Loss_D_fake 0.019870
[212/5000][305/535][21578] Loss_D: -0.037658 Loss_G: 0.018266 Loss_D_real: -0.018376 Loss_D_fake 0.019282
[212/5000][310/535][21579] Loss_D: -0.035276 Loss_G: 0.014027 Loss_D_real: -0.019836 Loss_D_fake 0.015440
[212/5000][315/535][21580] Loss_D: -0.037468 Loss_G: 0.038323 Loss_D_real: -0.036294 Loss_D_fake 0.001174
[212/5000][320/535][21581] Loss_D: -0.035482 Loss_G: -0.015752 Loss_D_real: 0.002859 Loss_D_fake 0.038340
[212/5000][325/535][21582] Loss_D: -0.035093 Loss_G: 0.034777 Loss_D_real: -0.033657 Loss_D_fake 0.001436
[212/5000][330/535][21583] Loss_D: -0.037658 Loss_G: 0.025759 Loss_D_real: -0.021484 Loss_D_fake 0.016174
[212/5000][335/535][21584] Loss_D: -0.039008 Loss_G: 0.022964 Loss_D_real: -0.024363 Loss_D_fake 0.014645
[212/5000][340/535][21585] Loss_D: -0.037580 Loss_G: 0.020396 Loss_D_real: -0.036807 Loss_D_fake 0.000773
[212/5000][345/535][21586] Loss_D: -0.038389 Loss_G: 0.029166 Loss_D_real: -0.031906 Loss_D_fake 0.006483
[212/5000][350/535][21587] Loss_D: -0.036017 Loss_G: -0.007368 Loss_D_real: -0.014253 Loss_D_fake 0.021764
[212/5000][355/535][21588] Loss_D: -0.035144 Loss_G: 0.031423 Loss_D_real: -0.036181 Loss_D_fake -0.001037
[212/5000][360/535][21589] Loss_D: -0.035163 Loss_G: 0.009475 Loss_D_real: -0.011235 Loss_D_fake 0.023928
[212/5000][365/535][21590] Loss_D: -0.035070 Loss_G: 0.035066 Loss_D_real: -0.036089 Loss_D_fake -0.001020
[212/5000][370/535][21591] Loss_D: -0.035492 Loss_G: 0.015008 Loss_D_real: -0.017636 Loss_D_fake 0.017856
[212/5000][375/535][21592] Loss_D: -0.037756 Loss_G: 0.015711 Loss_D_real: -0.028809 Loss_D_fake 0.008947
[212/5000][380/535][21593] Loss_D: -0.036032 Loss_G: 0.022482 Loss_D_real: -0.025260 Loss_D_fake 0.010772
[212/5000][385/535][21594] Loss_D: -0.037141 Loss_G: 0.007827 Loss_D_real: -0.015719 Loss_D_fake 0.021422
[212/5000][390/535][21595] Loss_D: -0.037313 Loss_G: 0.005701 Loss_D_real: -0.015056 Loss_D_fake 0.022257
[212/5000][395/535][21596] Loss_D: -0.037171 Loss_G: 0.043704 Loss_D_real: -0.032025 Loss_D_fake 0.005146
[212/5000][400/535][21597] Loss_D: -0.037151 Loss_G: 0.023739 Loss_D_real: -0.022159 Loss_D_fake 0.014992
[212/5000][405/535][21598] Loss_D: -0.036651 Loss_G: -0.000512 Loss_D_real: -0.005652 Loss_D_fake 0.031000
[212/5000][410/535][21599] Loss_D: -0.034892 Loss_G: 0.014392 Loss_D_real: -0.023698 Loss_D_fake 0.011194
[212/5000][415/535][21600] Loss_D: -0.038889 Loss_G: 0.028071 Loss_D_real: -0.031464 Loss_D_fake 0.007425
[212/5000][420/535][21601] Loss_D: -0.038235 Loss_G: 0.017741 Loss_D_real: -0.024121 Loss_D_fake 0.014115
[212/5000][425/535][21602] Loss_D: -0.033476 Loss_G: 0.046116 Loss_D_real: -0.050956 Loss_D_fake -0.017480
[212/5000][430/535][21603] Loss_D: -0.037192 Loss_G: -0.004670 Loss_D_real: -0.008828 Loss_D_fake 0.028365
[212/5000][435/535][21604] Loss_D: -0.035231 Loss_G: 0.016724 Loss_D_real: -0.032297 Loss_D_fake 0.002934
[212/5000][440/535][21605] Loss_D: -0.035994 Loss_G: 0.020753 Loss_D_real: -0.028491 Loss_D_fake 0.007503
[212/5000][445/535][21606] Loss_D: -0.037389 Loss_G: 0.014179 Loss_D_real: -0.020241 Loss_D_fake 0.017148
[212/5000][450/535][21607] Loss_D: -0.038757 Loss_G: 0.040513 Loss_D_real: -0.038952 Loss_D_fake -0.000196
[212/5000][455/535][21608] Loss_D: -0.036702 Loss_G: 0.027696 Loss_D_real: -0.031491 Loss_D_fake 0.005211
[212/5000][460/535][21609] Loss_D: -0.036560 Loss_G: 0.007497 Loss_D_real: -0.015989 Loss_D_fake 0.020570
[212/5000][465/535][21610] Loss_D: -0.038225 Loss_G: 0.035223 Loss_D_real: -0.039118 Loss_D_fake -0.000893
[212/5000][470/535][21611] Loss_D: -0.036694 Loss_G: 0.000922 Loss_D_real: -0.017165 Loss_D_fake 0.019529
[212/5000][475/535][21612] Loss_D: -0.037862 Loss_G: 0.008566 Loss_D_real: -0.020487 Loss_D_fake 0.017375
[212/5000][480/535][21613] Loss_D: -0.036625 Loss_G: 0.022631 Loss_D_real: -0.027226 Loss_D_fake 0.009399
[212/5000][485/535][21614] Loss_D: -0.038072 Loss_G: 0.038443 Loss_D_real: -0.033610 Loss_D_fake 0.004462
[212/5000][490/535][21615] Loss_D: -0.037434 Loss_G: 0.019730 Loss_D_real: -0.023846 Loss_D_fake 0.013589
[212/5000][495/535][21616] Loss_D: -0.036301 Loss_G: 0.030458 Loss_D_real: -0.033156 Loss_D_fake 0.003144
[212/5000][500/535][21617] Loss_D: -0.034984 Loss_G: -0.006774 Loss_D_real: -0.002805 Loss_D_fake 0.032178
[212/5000][505/535][21618] Loss_D: -0.036714 Loss_G: 0.030716 Loss_D_real: -0.031802 Loss_D_fake 0.004912
[212/5000][510/535][21619] Loss_D: -0.035587 Loss_G: 0.031139 Loss_D_real: -0.038511 Loss_D_fake -0.002924
[212/5000][515/535][21620] Loss_D: -0.038743 Loss_G: -0.006859 Loss_D_real: -0.011083 Loss_D_fake 0.027660
[212/5000][520/535][21621] Loss_D: -0.033892 Loss_G: 0.026445 Loss_D_real: -0.039845 Loss_D_fake -0.005953
[212/5000][525/535][21622] Loss_D: -0.037954 Loss_G: 0.025225 Loss_D_real: -0.029700 Loss_D_fake 0.008255
[212/5000][530/535][21623] Loss_D: -0.036439 Loss_G: 0.003021 Loss_D_real: -0.013882 Loss_D_fake 0.022557
[212/5000][535/535][21624] Loss_D: -0.039932 Loss_G: 0.032851 Loss_D_real: -0.043116 Loss_D_fake -0.003184
[213/5000][5/535][21625] Loss_D: -0.034494 Loss_G: 0.038927 Loss_D_real: -0.029739 Loss_D_fake 0.004755
[213/5000][10/535][21626] Loss_D: -0.038229 Loss_G: -0.001182 Loss_D_real: -0.016086 Loss_D_fake 0.022143
[213/5000][15/535][21627] Loss_D: -0.034830 Loss_G: 0.024746 Loss_D_real: -0.034454 Loss_D_fake 0.000376
[213/5000][20/535][21628] Loss_D: -0.036495 Loss_G: 0.023581 Loss_D_real: -0.032449 Loss_D_fake 0.004046
[213/5000][25/535][21629] Loss_D: -0.035073 Loss_G: 0.024372 Loss_D_real: -0.030013 Loss_D_fake 0.005061
[213/5000][30/535][21630] Loss_D: -0.037997 Loss_G: 0.021651 Loss_D_real: -0.026670 Loss_D_fake 0.011326
[213/5000][35/535][21631] Loss_D: -0.039117 Loss_G: 0.000292 Loss_D_real: -0.013846 Loss_D_fake 0.025271
[213/5000][40/535][21632] Loss_D: -0.037168 Loss_G: 0.013589 Loss_D_real: -0.017320 Loss_D_fake 0.019848
[213/5000][45/535][21633] Loss_D: -0.037927 Loss_G: 0.033760 Loss_D_real: -0.030062 Loss_D_fake 0.007865
[213/5000][50/535][21634] Loss_D: -0.037375 Loss_G: -0.008397 Loss_D_real: -0.005655 Loss_D_fake 0.031719
[213/5000][55/535][21635] Loss_D: -0.035815 Loss_G: 0.030591 Loss_D_real: -0.037249 Loss_D_fake -0.001434
[213/5000][60/535][21636] Loss_D: -0.037266 Loss_G: 0.022528 Loss_D_real: -0.023881 Loss_D_fake 0.013385
[213/5000][65/535][21637] Loss_D: -0.038440 Loss_G: 0.018383 Loss_D_real: -0.023999 Loss_D_fake 0.014441
[213/5000][70/535][21638] Loss_D: -0.039408 Loss_G: 0.025306 Loss_D_real: -0.037193 Loss_D_fake 0.002215
[213/5000][75/535][21639] Loss_D: -0.037513 Loss_G: 0.028958 Loss_D_real: -0.029428 Loss_D_fake 0.008086
[213/5000][80/535][21640] Loss_D: -0.037158 Loss_G: 0.045376 Loss_D_real: -0.035265 Loss_D_fake 0.001893
[213/5000][85/535][21641] Loss_D: -0.038016 Loss_G: 0.025424 Loss_D_real: -0.031586 Loss_D_fake 0.006430
[213/5000][90/535][21642] Loss_D: -0.038160 Loss_G: 0.019204 Loss_D_real: -0.026820 Loss_D_fake 0.011340
[213/5000][95/535][21643] Loss_D: -0.036661 Loss_G: 0.038906 Loss_D_real: -0.029090 Loss_D_fake 0.007571
[213/5000][100/535][21644] Loss_D: -0.035601 Loss_G: -0.001531 Loss_D_real: -0.009181 Loss_D_fake 0.026420
[213/5000][105/535][21645] Loss_D: -0.035187 Loss_G: 0.019002 Loss_D_real: -0.028860 Loss_D_fake 0.006327
[213/5000][110/535][21646] Loss_D: -0.035538 Loss_G: 0.015467 Loss_D_real: -0.018763 Loss_D_fake 0.016775
[213/5000][115/535][21647] Loss_D: -0.034677 Loss_G: 0.025329 Loss_D_real: -0.024028 Loss_D_fake 0.010649
[213/5000][120/535][21648] Loss_D: -0.036121 Loss_G: -0.001944 Loss_D_real: -0.013651 Loss_D_fake 0.022470
[213/5000][125/535][21649] Loss_D: -0.035928 Loss_G: 0.019287 Loss_D_real: -0.027488 Loss_D_fake 0.008440
[213/5000][130/535][21650] Loss_D: -0.038010 Loss_G: 0.008271 Loss_D_real: -0.014969 Loss_D_fake 0.023041
[213/5000][135/535][21651] Loss_D: -0.037152 Loss_G: 0.013025 Loss_D_real: -0.020388 Loss_D_fake 0.016764
[213/5000][140/535][21652] Loss_D: -0.035847 Loss_G: 0.034819 Loss_D_real: -0.034694 Loss_D_fake 0.001154
[213/5000][145/535][21653] Loss_D: -0.035574 Loss_G: -0.007040 Loss_D_real: -0.010192 Loss_D_fake 0.025382
[213/5000][150/535][21654] Loss_D: -0.035602 Loss_G: 0.029207 Loss_D_real: -0.029495 Loss_D_fake 0.006108
[213/5000][155/535][21655] Loss_D: -0.036596 Loss_G: 0.008433 Loss_D_real: -0.012584 Loss_D_fake 0.024012
[213/5000][160/535][21656] Loss_D: -0.035496 Loss_G: 0.010715 Loss_D_real: -0.020802 Loss_D_fake 0.014695
[213/5000][165/535][21657] Loss_D: -0.036601 Loss_G: 0.026766 Loss_D_real: -0.034901 Loss_D_fake 0.001701
[213/5000][170/535][21658] Loss_D: -0.035984 Loss_G: 0.002005 Loss_D_real: -0.003410 Loss_D_fake 0.032575
[213/5000][175/535][21659] Loss_D: -0.036386 Loss_G: 0.023840 Loss_D_real: -0.032295 Loss_D_fake 0.004091
[213/5000][180/535][21660] Loss_D: -0.035816 Loss_G: -0.010661 Loss_D_real: 0.005841 Loss_D_fake 0.041657
[213/5000][185/535][21661] Loss_D: -0.038790 Loss_G: 0.018602 Loss_D_real: -0.026296 Loss_D_fake 0.012494
[213/5000][190/535][21662] Loss_D: -0.037043 Loss_G: 0.044501 Loss_D_real: -0.035349 Loss_D_fake 0.001694
[213/5000][195/535][21663] Loss_D: -0.038706 Loss_G: 0.022677 Loss_D_real: -0.021437 Loss_D_fake 0.017269
[213/5000][200/535][21664] Loss_D: -0.037483 Loss_G: 0.011321 Loss_D_real: -0.022618 Loss_D_fake 0.014865
[213/5000][205/535][21665] Loss_D: -0.036768 Loss_G: -0.005295 Loss_D_real: -0.013708 Loss_D_fake 0.023061
[213/5000][210/535][21666] Loss_D: -0.037874 Loss_G: 0.028363 Loss_D_real: -0.030704 Loss_D_fake 0.007170
[213/5000][215/535][21667] Loss_D: -0.036263 Loss_G: -0.006610 Loss_D_real: -0.005733 Loss_D_fake 0.030530
[213/5000][220/535][21668] Loss_D: -0.037301 Loss_G: 0.023173 Loss_D_real: -0.026801 Loss_D_fake 0.010500
[213/5000][225/535][21669] Loss_D: -0.036345 Loss_G: -0.004322 Loss_D_real: -0.004453 Loss_D_fake 0.031892
[213/5000][230/535][21670] Loss_D: -0.033265 Loss_G: 0.034778 Loss_D_real: -0.033193 Loss_D_fake 0.000072
[213/5000][235/535][21671] Loss_D: -0.036276 Loss_G: -0.004045 Loss_D_real: -0.016387 Loss_D_fake 0.019888
[213/5000][240/535][21672] Loss_D: -0.035221 Loss_G: 0.024510 Loss_D_real: -0.029659 Loss_D_fake 0.005562
[213/5000][245/535][21673] Loss_D: -0.036062 Loss_G: 0.006329 Loss_D_real: -0.013238 Loss_D_fake 0.022824
[213/5000][250/535][21674] Loss_D: -0.037542 Loss_G: 0.019382 Loss_D_real: -0.020343 Loss_D_fake 0.017199
[213/5000][255/535][21675] Loss_D: -0.035201 Loss_G: 0.023206 Loss_D_real: -0.029339 Loss_D_fake 0.005861
[213/5000][260/535][21676] Loss_D: -0.037145 Loss_G: 0.034651 Loss_D_real: -0.032645 Loss_D_fake 0.004500
[213/5000][265/535][21677] Loss_D: -0.036596 Loss_G: -0.000365 Loss_D_real: -0.017127 Loss_D_fake 0.019469
[213/5000][270/535][21678] Loss_D: -0.037370 Loss_G: 0.022860 Loss_D_real: -0.027495 Loss_D_fake 0.009875
[213/5000][275/535][21679] Loss_D: -0.035283 Loss_G: -0.007330 Loss_D_real: -0.012860 Loss_D_fake 0.022423
[213/5000][280/535][21680] Loss_D: -0.036617 Loss_G: 0.031818 Loss_D_real: -0.038839 Loss_D_fake -0.002222
[213/5000][285/535][21681] Loss_D: -0.036726 Loss_G: 0.007407 Loss_D_real: -0.009004 Loss_D_fake 0.027722
[213/5000][290/535][21682] Loss_D: -0.036932 Loss_G: 0.022237 Loss_D_real: -0.029730 Loss_D_fake 0.007202
[213/5000][295/535][21683] Loss_D: -0.038105 Loss_G: 0.010811 Loss_D_real: -0.023267 Loss_D_fake 0.014838
[213/5000][300/535][21684] Loss_D: -0.037889 Loss_G: 0.018167 Loss_D_real: -0.024363 Loss_D_fake 0.013526
[213/5000][305/535][21685] Loss_D: -0.036224 Loss_G: -0.011898 Loss_D_real: 0.001609 Loss_D_fake 0.037834
[213/5000][310/535][21686] Loss_D: -0.035911 Loss_G: 0.029791 Loss_D_real: -0.036155 Loss_D_fake -0.000244
[213/5000][315/535][21687] Loss_D: -0.038508 Loss_G: 0.015819 Loss_D_real: -0.021145 Loss_D_fake 0.017363
[213/5000][320/535][21688] Loss_D: -0.036890 Loss_G: 0.002448 Loss_D_real: -0.008493 Loss_D_fake 0.028398
[213/5000][325/535][21689] Loss_D: -0.035652 Loss_G: 0.034536 Loss_D_real: -0.045323 Loss_D_fake -0.009671
[213/5000][330/535][21690] Loss_D: -0.036688 Loss_G: 0.012922 Loss_D_real: -0.016297 Loss_D_fake 0.020391
[213/5000][335/535][21691] Loss_D: -0.036916 Loss_G: 0.019772 Loss_D_real: -0.027851 Loss_D_fake 0.009065
[213/5000][340/535][21692] Loss_D: -0.036024 Loss_G: 0.006995 Loss_D_real: -0.020537 Loss_D_fake 0.015487
[213/5000][345/535][21693] Loss_D: -0.037180 Loss_G: 0.028214 Loss_D_real: -0.033670 Loss_D_fake 0.003510
[213/5000][350/535][21694] Loss_D: -0.037006 Loss_G: 0.012990 Loss_D_real: -0.020835 Loss_D_fake 0.016171
[213/5000][355/535][21695] Loss_D: -0.037419 Loss_G: 0.031369 Loss_D_real: -0.024333 Loss_D_fake 0.013086
[213/5000][360/535][21696] Loss_D: -0.037964 Loss_G: 0.017951 Loss_D_real: -0.018816 Loss_D_fake 0.019149
[213/5000][365/535][21697] Loss_D: -0.037224 Loss_G: 0.024447 Loss_D_real: -0.034012 Loss_D_fake 0.003212
[213/5000][370/535][21698] Loss_D: -0.035876 Loss_G: -0.006400 Loss_D_real: -0.006520 Loss_D_fake 0.029356
[213/5000][375/535][21699] Loss_D: -0.034903 Loss_G: 0.035911 Loss_D_real: -0.035719 Loss_D_fake -0.000816
[213/5000][380/535][21700] Loss_D: -0.036046 Loss_G: 0.017077 Loss_D_real: -0.021643 Loss_D_fake 0.014403
[213/5000][385/535][21701] Loss_D: -0.036075 Loss_G: 0.000929 Loss_D_real: -0.018872 Loss_D_fake 0.017203
[213/5000][390/535][21702] Loss_D: -0.035942 Loss_G: 0.008611 Loss_D_real: -0.020199 Loss_D_fake 0.015744
[213/5000][395/535][21703] Loss_D: -0.036924 Loss_G: 0.029414 Loss_D_real: -0.024002 Loss_D_fake 0.012922
[213/5000][400/535][21704] Loss_D: -0.035728 Loss_G: 0.004632 Loss_D_real: -0.006586 Loss_D_fake 0.029142
[213/5000][405/535][21705] Loss_D: -0.039508 Loss_G: 0.021926 Loss_D_real: -0.025161 Loss_D_fake 0.014347
[213/5000][410/535][21706] Loss_D: -0.035372 Loss_G: 0.026664 Loss_D_real: -0.021647 Loss_D_fake 0.013724
[213/5000][415/535][21707] Loss_D: -0.039138 Loss_G: 0.006436 Loss_D_real: -0.013889 Loss_D_fake 0.025248
[213/5000][420/535][21708] Loss_D: -0.034428 Loss_G: 0.044847 Loss_D_real: -0.050402 Loss_D_fake -0.015974
[213/5000][425/535][21709] Loss_D: -0.037647 Loss_G: 0.006993 Loss_D_real: -0.012830 Loss_D_fake 0.024817
[213/5000][430/535][21710] Loss_D: -0.037722 Loss_G: -0.003387 Loss_D_real: -0.012019 Loss_D_fake 0.025703
[213/5000][435/535][21711] Loss_D: -0.036170 Loss_G: 0.015722 Loss_D_real: -0.027380 Loss_D_fake 0.008790
[213/5000][440/535][21712] Loss_D: -0.036575 Loss_G: 0.023347 Loss_D_real: -0.028562 Loss_D_fake 0.008013
[213/5000][445/535][21713] Loss_D: -0.036969 Loss_G: 0.016885 Loss_D_real: -0.031214 Loss_D_fake 0.005755
[213/5000][450/535][21714] Loss_D: -0.037568 Loss_G: 0.036243 Loss_D_real: -0.039347 Loss_D_fake -0.001779
[213/5000][455/535][21715] Loss_D: -0.037485 Loss_G: -0.005817 Loss_D_real: -0.010864 Loss_D_fake 0.026621
[213/5000][460/535][21716] Loss_D: -0.036094 Loss_G: 0.035500 Loss_D_real: -0.039916 Loss_D_fake -0.003822
[213/5000][465/535][21717] Loss_D: -0.037669 Loss_G: 0.030262 Loss_D_real: -0.033225 Loss_D_fake 0.004444
[213/5000][470/535][21718] Loss_D: -0.038823 Loss_G: 0.009781 Loss_D_real: -0.019999 Loss_D_fake 0.018823
[213/5000][475/535][21719] Loss_D: -0.036831 Loss_G: 0.021488 Loss_D_real: -0.025992 Loss_D_fake 0.010839
[213/5000][480/535][21720] Loss_D: -0.038639 Loss_G: 0.016874 Loss_D_real: -0.023413 Loss_D_fake 0.015226
[213/5000][485/535][21721] Loss_D: -0.038476 Loss_G: 0.014297 Loss_D_real: -0.020525 Loss_D_fake 0.017952
[213/5000][490/535][21722] Loss_D: -0.034751 Loss_G: 0.041154 Loss_D_real: -0.035451 Loss_D_fake -0.000700
[213/5000][495/535][21723] Loss_D: -0.036039 Loss_G: 0.003579 Loss_D_real: -0.014259 Loss_D_fake 0.021780
[213/5000][500/535][21724] Loss_D: -0.036718 Loss_G: 0.006181 Loss_D_real: -0.015091 Loss_D_fake 0.021626
[213/5000][505/535][21725] Loss_D: -0.036731 Loss_G: 0.025547 Loss_D_real: -0.032718 Loss_D_fake 0.004013
[213/5000][510/535][21726] Loss_D: -0.035883 Loss_G: 0.005759 Loss_D_real: -0.010199 Loss_D_fake 0.025684
[213/5000][515/535][21727] Loss_D: -0.035414 Loss_G: 0.027624 Loss_D_real: -0.036165 Loss_D_fake -0.000751
[213/5000][520/535][21728] Loss_D: -0.036832 Loss_G: 0.017495 Loss_D_real: -0.021197 Loss_D_fake 0.015634
[213/5000][525/535][21729] Loss_D: -0.038330 Loss_G: 0.001991 Loss_D_real: -0.010241 Loss_D_fake 0.028088
[213/5000][530/535][21730] Loss_D: -0.035848 Loss_G: 0.035760 Loss_D_real: -0.034608 Loss_D_fake 0.001240
[213/5000][535/535][21731] Loss_D: -0.031215 Loss_G: 0.028135 Loss_D_real: -0.028782 Loss_D_fake 0.002433
[214/5000][5/535][21732] Loss_D: -0.037324 Loss_G: 0.006655 Loss_D_real: -0.013502 Loss_D_fake 0.023822
[214/5000][10/535][21733] Loss_D: -0.036322 Loss_G: 0.007258 Loss_D_real: -0.012771 Loss_D_fake 0.023550
[214/5000][15/535][21734] Loss_D: -0.035970 Loss_G: 0.038246 Loss_D_real: -0.040988 Loss_D_fake -0.005018
[214/5000][20/535][21735] Loss_D: -0.035164 Loss_G: 0.035709 Loss_D_real: -0.032944 Loss_D_fake 0.002220
[214/5000][25/535][21736] Loss_D: -0.036779 Loss_G: 0.023751 Loss_D_real: -0.025609 Loss_D_fake 0.011170
[214/5000][30/535][21737] Loss_D: -0.036401 Loss_G: 0.016441 Loss_D_real: -0.014013 Loss_D_fake 0.022389
[214/5000][35/535][21738] Loss_D: -0.036345 Loss_G: -0.010280 Loss_D_real: -0.005267 Loss_D_fake 0.031078
[214/5000][40/535][21739] Loss_D: -0.034791 Loss_G: 0.030339 Loss_D_real: -0.047443 Loss_D_fake -0.012652
[214/5000][45/535][21740] Loss_D: -0.036644 Loss_G: 0.015112 Loss_D_real: -0.021954 Loss_D_fake 0.014690
[214/5000][50/535][21741] Loss_D: -0.037613 Loss_G: 0.020840 Loss_D_real: -0.023141 Loss_D_fake 0.014472
[214/5000][55/535][21742] Loss_D: -0.037056 Loss_G: 0.036938 Loss_D_real: -0.045365 Loss_D_fake -0.008309
[214/5000][60/535][21743] Loss_D: -0.035510 Loss_G: 0.020412 Loss_D_real: -0.024398 Loss_D_fake 0.011111
[214/5000][65/535][21744] Loss_D: -0.037330 Loss_G: 0.025825 Loss_D_real: -0.033845 Loss_D_fake 0.003485
[214/5000][70/535][21745] Loss_D: -0.035623 Loss_G: 0.018823 Loss_D_real: -0.020341 Loss_D_fake 0.015282
[214/5000][75/535][21746] Loss_D: -0.036456 Loss_G: 0.027506 Loss_D_real: -0.031244 Loss_D_fake 0.005212
[214/5000][80/535][21747] Loss_D: -0.036904 Loss_G: 0.016598 Loss_D_real: -0.023610 Loss_D_fake 0.013294
[214/5000][85/535][21748] Loss_D: -0.036176 Loss_G: 0.025677 Loss_D_real: -0.037746 Loss_D_fake -0.001571
[214/5000][90/535][21749] Loss_D: -0.036294 Loss_G: 0.010527 Loss_D_real: -0.012908 Loss_D_fake 0.023386
[214/5000][95/535][21750] Loss_D: -0.036645 Loss_G: 0.009221 Loss_D_real: -0.030411 Loss_D_fake 0.006233
[214/5000][100/535][21751] Loss_D: -0.036022 Loss_G: 0.034172 Loss_D_real: -0.036019 Loss_D_fake 0.000002
[214/5000][105/535][21752] Loss_D: -0.035848 Loss_G: 0.003368 Loss_D_real: -0.006341 Loss_D_fake 0.029507
[214/5000][110/535][21753] Loss_D: -0.035884 Loss_G: 0.041097 Loss_D_real: -0.044347 Loss_D_fake -0.008463
[214/5000][115/535][21754] Loss_D: -0.038019 Loss_G: 0.021521 Loss_D_real: -0.025117 Loss_D_fake 0.012902
[214/5000][120/535][21755] Loss_D: -0.037998 Loss_G: 0.020480 Loss_D_real: -0.022069 Loss_D_fake 0.015930
[214/5000][125/535][21756] Loss_D: -0.035625 Loss_G: 0.006738 Loss_D_real: -0.012285 Loss_D_fake 0.023341
[214/5000][130/535][21757] Loss_D: -0.037075 Loss_G: 0.031703 Loss_D_real: -0.034853 Loss_D_fake 0.002222
[214/5000][135/535][21758] Loss_D: -0.037659 Loss_G: -0.005832 Loss_D_real: -0.011561 Loss_D_fake 0.026098
[214/5000][140/535][21759] Loss_D: -0.036309 Loss_G: 0.023505 Loss_D_real: -0.020882 Loss_D_fake 0.015427
[214/5000][145/535][21760] Loss_D: -0.037462 Loss_G: 0.022500 Loss_D_real: -0.027234 Loss_D_fake 0.010228
[214/5000][150/535][21761] Loss_D: -0.038655 Loss_G: 0.006243 Loss_D_real: -0.020177 Loss_D_fake 0.018478
[214/5000][155/535][21762] Loss_D: -0.034870 Loss_G: 0.030426 Loss_D_real: -0.038093 Loss_D_fake -0.003223
[214/5000][160/535][21763] Loss_D: -0.036635 Loss_G: 0.010633 Loss_D_real: -0.016567 Loss_D_fake 0.020067
[214/5000][165/535][21764] Loss_D: -0.035280 Loss_G: 0.009188 Loss_D_real: -0.010692 Loss_D_fake 0.024588
[214/5000][170/535][21765] Loss_D: -0.035546 Loss_G: 0.005317 Loss_D_real: -0.015397 Loss_D_fake 0.020150
[214/5000][175/535][21766] Loss_D: -0.036591 Loss_G: 0.023542 Loss_D_real: -0.032129 Loss_D_fake 0.004462
[214/5000][180/535][21767] Loss_D: -0.035473 Loss_G: -0.000616 Loss_D_real: -0.011977 Loss_D_fake 0.023496
[214/5000][185/535][21768] Loss_D: -0.035736 Loss_G: -0.002662 Loss_D_real: -0.011610 Loss_D_fake 0.024126
[214/5000][190/535][21769] Loss_D: -0.036228 Loss_G: 0.040176 Loss_D_real: -0.042293 Loss_D_fake -0.006064
[214/5000][195/535][21770] Loss_D: -0.037124 Loss_G: -0.011001 Loss_D_real: -0.010538 Loss_D_fake 0.026586
[214/5000][200/535][21771] Loss_D: -0.036687 Loss_G: 0.034767 Loss_D_real: -0.033049 Loss_D_fake 0.003638
[214/5000][205/535][21772] Loss_D: -0.037952 Loss_G: 0.003533 Loss_D_real: -0.014221 Loss_D_fake 0.023731
[214/5000][210/535][21773] Loss_D: -0.037303 Loss_G: 0.035732 Loss_D_real: -0.034292 Loss_D_fake 0.003011
[214/5000][215/535][21774] Loss_D: -0.036465 Loss_G: 0.018399 Loss_D_real: -0.031991 Loss_D_fake 0.004474
[214/5000][220/535][21775] Loss_D: -0.037462 Loss_G: 0.010261 Loss_D_real: -0.019071 Loss_D_fake 0.018391
[214/5000][225/535][21776] Loss_D: -0.037580 Loss_G: 0.032199 Loss_D_real: -0.028921 Loss_D_fake 0.008660
[214/5000][230/535][21777] Loss_D: -0.035716 Loss_G: -0.006602 Loss_D_real: 0.005142 Loss_D_fake 0.040858
[214/5000][235/535][21778] Loss_D: -0.035662 Loss_G: 0.042006 Loss_D_real: -0.040023 Loss_D_fake -0.004361
[214/5000][240/535][21779] Loss_D: -0.037654 Loss_G: 0.009633 Loss_D_real: -0.014854 Loss_D_fake 0.022801
[214/5000][245/535][21780] Loss_D: -0.036958 Loss_G: 0.001375 Loss_D_real: -0.005346 Loss_D_fake 0.031612
[214/5000][250/535][21781] Loss_D: -0.036554 Loss_G: 0.021152 Loss_D_real: -0.026104 Loss_D_fake 0.010450
[214/5000][255/535][21782] Loss_D: -0.037258 Loss_G: 0.014989 Loss_D_real: -0.024145 Loss_D_fake 0.013113
[214/5000][260/535][21783] Loss_D: -0.037881 Loss_G: 0.038140 Loss_D_real: -0.039510 Loss_D_fake -0.001629
[214/5000][265/535][21784] Loss_D: -0.037243 Loss_G: 0.002073 Loss_D_real: -0.007943 Loss_D_fake 0.029300
[214/5000][270/535][21785] Loss_D: -0.036900 Loss_G: 0.024646 Loss_D_real: -0.031205 Loss_D_fake 0.005695
[214/5000][275/535][21786] Loss_D: -0.037389 Loss_G: 0.028655 Loss_D_real: -0.031926 Loss_D_fake 0.005464
[214/5000][280/535][21787] Loss_D: -0.038354 Loss_G: 0.014939 Loss_D_real: -0.023079 Loss_D_fake 0.015275
[214/5000][285/535][21788] Loss_D: -0.036435 Loss_G: 0.035492 Loss_D_real: -0.037483 Loss_D_fake -0.001049
[214/5000][290/535][21789] Loss_D: -0.035684 Loss_G: 0.011488 Loss_D_real: -0.025390 Loss_D_fake 0.010295
[214/5000][295/535][21790] Loss_D: -0.035597 Loss_G: -0.007844 Loss_D_real: 0.001078 Loss_D_fake 0.036675
[214/5000][300/535][21791] Loss_D: -0.036297 Loss_G: 0.007596 Loss_D_real: -0.015939 Loss_D_fake 0.020358
[214/5000][305/535][21792] Loss_D: -0.036764 Loss_G: 0.024209 Loss_D_real: -0.035419 Loss_D_fake 0.001345
[214/5000][310/535][21793] Loss_D: -0.036153 Loss_G: 0.005426 Loss_D_real: -0.015017 Loss_D_fake 0.021136
[214/5000][315/535][21794] Loss_D: -0.037287 Loss_G: 0.023217 Loss_D_real: -0.032628 Loss_D_fake 0.004659
[214/5000][320/535][21795] Loss_D: -0.036041 Loss_G: 0.005611 Loss_D_real: -0.011530 Loss_D_fake 0.024511
[214/5000][325/535][21796] Loss_D: -0.036549 Loss_G: 0.031224 Loss_D_real: -0.038269 Loss_D_fake -0.001720
[214/5000][330/535][21797] Loss_D: -0.035433 Loss_G: 0.000403 Loss_D_real: -0.009816 Loss_D_fake 0.025617
[214/5000][335/535][21798] Loss_D: -0.036644 Loss_G: 0.034775 Loss_D_real: -0.038509 Loss_D_fake -0.001865
[214/5000][340/535][21799] Loss_D: -0.036001 Loss_G: -0.003295 Loss_D_real: -0.008672 Loss_D_fake 0.027329
[214/5000][345/535][21800] Loss_D: -0.036326 Loss_G: 0.010611 Loss_D_real: -0.021792 Loss_D_fake 0.014535
[214/5000][350/535][21801] Loss_D: -0.035512 Loss_G: -0.002212 Loss_D_real: -0.008497 Loss_D_fake 0.027015
[214/5000][355/535][21802] Loss_D: -0.035653 Loss_G: 0.021415 Loss_D_real: -0.028060 Loss_D_fake 0.007592
[214/5000][360/535][21803] Loss_D: -0.037263 Loss_G: 0.006218 Loss_D_real: -0.016820 Loss_D_fake 0.020443
[214/5000][365/535][21804] Loss_D: -0.036362 Loss_G: 0.011942 Loss_D_real: -0.018837 Loss_D_fake 0.017525
[214/5000][370/535][21805] Loss_D: -0.037202 Loss_G: 0.024849 Loss_D_real: -0.033347 Loss_D_fake 0.003855
[214/5000][375/535][21806] Loss_D: -0.037437 Loss_G: 0.007567 Loss_D_real: -0.011355 Loss_D_fake 0.026082
[214/5000][380/535][21807] Loss_D: -0.036849 Loss_G: 0.025336 Loss_D_real: -0.037977 Loss_D_fake -0.001128
[214/5000][385/535][21808] Loss_D: -0.038617 Loss_G: 0.023963 Loss_D_real: -0.026456 Loss_D_fake 0.012160
[214/5000][390/535][21809] Loss_D: -0.036334 Loss_G: 0.008464 Loss_D_real: -0.022817 Loss_D_fake 0.013517
[214/5000][395/535][21810] Loss_D: -0.036922 Loss_G: 0.018046 Loss_D_real: -0.023221 Loss_D_fake 0.013701
[214/5000][400/535][21811] Loss_D: -0.038326 Loss_G: 0.015067 Loss_D_real: -0.024522 Loss_D_fake 0.013804
[214/5000][405/535][21812] Loss_D: -0.037362 Loss_G: 0.019974 Loss_D_real: -0.027161 Loss_D_fake 0.010200
[214/5000][410/535][21813] Loss_D: -0.037283 Loss_G: 0.010207 Loss_D_real: -0.020765 Loss_D_fake 0.016518
[214/5000][415/535][21814] Loss_D: -0.036446 Loss_G: 0.037754 Loss_D_real: -0.036894 Loss_D_fake -0.000447
[214/5000][420/535][21815] Loss_D: -0.037435 Loss_G: -0.006429 Loss_D_real: -0.000184 Loss_D_fake 0.037251
[214/5000][425/535][21816] Loss_D: -0.037650 Loss_G: 0.027385 Loss_D_real: -0.028515 Loss_D_fake 0.009135
[214/5000][430/535][21817] Loss_D: -0.036278 Loss_G: 0.015040 Loss_D_real: -0.018898 Loss_D_fake 0.017379
[214/5000][435/535][21818] Loss_D: -0.037142 Loss_G: 0.030235 Loss_D_real: -0.027545 Loss_D_fake 0.009597
[214/5000][440/535][21819] Loss_D: -0.037298 Loss_G: 0.015112 Loss_D_real: -0.022602 Loss_D_fake 0.014696
[214/5000][445/535][21820] Loss_D: -0.037669 Loss_G: 0.006927 Loss_D_real: -0.016082 Loss_D_fake 0.021587
[214/5000][450/535][21821] Loss_D: -0.036607 Loss_G: 0.029258 Loss_D_real: -0.039528 Loss_D_fake -0.002922
[214/5000][455/535][21822] Loss_D: -0.037057 Loss_G: 0.018760 Loss_D_real: -0.031530 Loss_D_fake 0.005527
[214/5000][460/535][21823] Loss_D: -0.039710 Loss_G: 0.007311 Loss_D_real: -0.020486 Loss_D_fake 0.019225
[214/5000][465/535][21824] Loss_D: -0.036299 Loss_G: 0.045667 Loss_D_real: -0.040186 Loss_D_fake -0.003887
[214/5000][470/535][21825] Loss_D: -0.034684 Loss_G: -0.016302 Loss_D_real: 0.003576 Loss_D_fake 0.038260
[214/5000][475/535][21826] Loss_D: -0.034597 Loss_G: 0.031748 Loss_D_real: -0.041460 Loss_D_fake -0.006863
[214/5000][480/535][21827] Loss_D: -0.035629 Loss_G: 0.014096 Loss_D_real: -0.017258 Loss_D_fake 0.018371
[214/5000][485/535][21828] Loss_D: -0.034919 Loss_G: 0.028495 Loss_D_real: -0.032194 Loss_D_fake 0.002725
[214/5000][490/535][21829] Loss_D: -0.035624 Loss_G: 0.030412 Loss_D_real: -0.037707 Loss_D_fake -0.002083
[214/5000][495/535][21830] Loss_D: -0.037916 Loss_G: 0.022428 Loss_D_real: -0.036483 Loss_D_fake 0.001433
[214/5000][500/535][21831] Loss_D: -0.035497 Loss_G: 0.019834 Loss_D_real: -0.028783 Loss_D_fake 0.006714
[214/5000][505/535][21832] Loss_D: -0.038169 Loss_G: 0.009854 Loss_D_real: -0.022196 Loss_D_fake 0.015973
[214/5000][510/535][21833] Loss_D: -0.035674 Loss_G: 0.004052 Loss_D_real: -0.007032 Loss_D_fake 0.028642
[214/5000][515/535][21834] Loss_D: -0.033108 Loss_G: -0.005551 Loss_D_real: -0.010932 Loss_D_fake 0.022176
[214/5000][520/535][21835] Loss_D: -0.035088 Loss_G: 0.027725 Loss_D_real: -0.034529 Loss_D_fake 0.000558
[214/5000][525/535][21836] Loss_D: -0.034692 Loss_G: 0.004399 Loss_D_real: -0.008427 Loss_D_fake 0.026266
[214/5000][530/535][21837] Loss_D: -0.035832 Loss_G: 0.030353 Loss_D_real: -0.034406 Loss_D_fake 0.001425
[214/5000][535/535][21838] Loss_D: -0.034976 Loss_G: 0.022166 Loss_D_real: -0.019212 Loss_D_fake 0.015765
[215/5000][5/535][21839] Loss_D: -0.035920 Loss_G: 0.013788 Loss_D_real: -0.019643 Loss_D_fake 0.016277
[215/5000][10/535][21840] Loss_D: -0.037830 Loss_G: 0.009899 Loss_D_real: -0.019031 Loss_D_fake 0.018799
[215/5000][15/535][21841] Loss_D: -0.036278 Loss_G: 0.036722 Loss_D_real: -0.037014 Loss_D_fake -0.000737
[215/5000][20/535][21842] Loss_D: -0.036442 Loss_G: 0.016350 Loss_D_real: -0.020634 Loss_D_fake 0.015808
[215/5000][25/535][21843] Loss_D: -0.037105 Loss_G: -0.010248 Loss_D_real: -0.014742 Loss_D_fake 0.022363
[215/5000][30/535][21844] Loss_D: -0.034851 Loss_G: 0.040248 Loss_D_real: -0.043172 Loss_D_fake -0.008320
[215/5000][35/535][21845] Loss_D: -0.036118 Loss_G: 0.019110 Loss_D_real: -0.023469 Loss_D_fake 0.012649
[215/5000][40/535][21846] Loss_D: -0.036844 Loss_G: 0.035469 Loss_D_real: -0.039812 Loss_D_fake -0.002969
[215/5000][45/535][21847] Loss_D: -0.036961 Loss_G: 0.015086 Loss_D_real: -0.027373 Loss_D_fake 0.009588
[215/5000][50/535][21848] Loss_D: -0.036674 Loss_G: 0.029146 Loss_D_real: -0.031188 Loss_D_fake 0.005485
[215/5000][55/535][21849] Loss_D: -0.037054 Loss_G: 0.004142 Loss_D_real: -0.009956 Loss_D_fake 0.027098
[215/5000][60/535][21850] Loss_D: -0.037028 Loss_G: 0.036272 Loss_D_real: -0.046275 Loss_D_fake -0.009247
[215/5000][65/535][21851] Loss_D: -0.036802 Loss_G: 0.003300 Loss_D_real: -0.014756 Loss_D_fake 0.022046
[215/5000][70/535][21852] Loss_D: -0.036397 Loss_G: 0.023146 Loss_D_real: -0.034370 Loss_D_fake 0.002027
[215/5000][75/535][21853] Loss_D: -0.035544 Loss_G: 0.006871 Loss_D_real: -0.018286 Loss_D_fake 0.017258
[215/5000][80/535][21854] Loss_D: -0.038390 Loss_G: 0.026911 Loss_D_real: -0.033178 Loss_D_fake 0.005211
[215/5000][85/535][21855] Loss_D: -0.037015 Loss_G: 0.027304 Loss_D_real: -0.029985 Loss_D_fake 0.007030
[215/5000][90/535][21856] Loss_D: -0.038100 Loss_G: 0.007017 Loss_D_real: -0.019120 Loss_D_fake 0.018980
[215/5000][95/535][21857] Loss_D: -0.036281 Loss_G: 0.004662 Loss_D_real: -0.016097 Loss_D_fake 0.020184
[215/5000][100/535][21858] Loss_D: -0.034983 Loss_G: 0.036059 Loss_D_real: -0.038091 Loss_D_fake -0.003108
[215/5000][105/535][21859] Loss_D: -0.036802 Loss_G: -0.001470 Loss_D_real: -0.010725 Loss_D_fake 0.026077
[215/5000][110/535][21860] Loss_D: -0.035550 Loss_G: -0.003208 Loss_D_real: -0.010382 Loss_D_fake 0.025168
[215/5000][115/535][21861] Loss_D: -0.036753 Loss_G: 0.020029 Loss_D_real: -0.023425 Loss_D_fake 0.013328
[215/5000][120/535][21862] Loss_D: -0.035255 Loss_G: 0.016911 Loss_D_real: -0.028794 Loss_D_fake 0.006460
[215/5000][125/535][21863] Loss_D: -0.037061 Loss_G: 0.039860 Loss_D_real: -0.033951 Loss_D_fake 0.003110
[215/5000][130/535][21864] Loss_D: -0.037346 Loss_G: 0.002274 Loss_D_real: -0.016179 Loss_D_fake 0.021167
[215/5000][135/535][21865] Loss_D: -0.034564 Loss_G: 0.042037 Loss_D_real: -0.038203 Loss_D_fake -0.003639
[215/5000][140/535][21866] Loss_D: -0.035902 Loss_G: -0.003598 Loss_D_real: -0.009057 Loss_D_fake 0.026845
[215/5000][145/535][21867] Loss_D: -0.037072 Loss_G: 0.017070 Loss_D_real: -0.025889 Loss_D_fake 0.011183
[215/5000][150/535][21868] Loss_D: -0.036719 Loss_G: 0.005692 Loss_D_real: -0.013366 Loss_D_fake 0.023353
[215/5000][155/535][21869] Loss_D: -0.037793 Loss_G: 0.027316 Loss_D_real: -0.031039 Loss_D_fake 0.006755
[215/5000][160/535][21870] Loss_D: -0.036774 Loss_G: 0.003826 Loss_D_real: -0.012481 Loss_D_fake 0.024292
[215/5000][165/535][21871] Loss_D: -0.037382 Loss_G: 0.022002 Loss_D_real: -0.028248 Loss_D_fake 0.009134
[215/5000][170/535][21872] Loss_D: -0.037098 Loss_G: 0.034144 Loss_D_real: -0.039190 Loss_D_fake -0.002092
[215/5000][175/535][21873] Loss_D: -0.034862 Loss_G: 0.014833 Loss_D_real: -0.021966 Loss_D_fake 0.012897
[215/5000][180/535][21874] Loss_D: -0.038031 Loss_G: -0.004788 Loss_D_real: -0.005127 Loss_D_fake 0.032903
[215/5000][185/535][21875] Loss_D: -0.036486 Loss_G: 0.012570 Loss_D_real: -0.027781 Loss_D_fake 0.008704
[215/5000][190/535][21876] Loss_D: -0.038554 Loss_G: 0.031117 Loss_D_real: -0.028590 Loss_D_fake 0.009964
[215/5000][195/535][21877] Loss_D: -0.037727 Loss_G: -0.003940 Loss_D_real: -0.008554 Loss_D_fake 0.029172
[215/5000][200/535][21878] Loss_D: -0.038832 Loss_G: 0.030114 Loss_D_real: -0.032682 Loss_D_fake 0.006150
[215/5000][205/535][21879] Loss_D: -0.038469 Loss_G: 0.022621 Loss_D_real: -0.027604 Loss_D_fake 0.010865
[215/5000][210/535][21880] Loss_D: -0.037171 Loss_G: 0.047992 Loss_D_real: -0.045485 Loss_D_fake -0.008313
[215/5000][215/535][21881] Loss_D: -0.037342 Loss_G: -0.007910 Loss_D_real: -0.006628 Loss_D_fake 0.030714
[215/5000][220/535][21882] Loss_D: -0.036503 Loss_G: 0.006014 Loss_D_real: -0.018672 Loss_D_fake 0.017831
[215/5000][225/535][21883] Loss_D: -0.035647 Loss_G: 0.028302 Loss_D_real: -0.027221 Loss_D_fake 0.008425
[215/5000][230/535][21884] Loss_D: -0.037186 Loss_G: 0.017787 Loss_D_real: -0.021028 Loss_D_fake 0.016158
[215/5000][235/535][21885] Loss_D: -0.037619 Loss_G: 0.027939 Loss_D_real: -0.027094 Loss_D_fake 0.010525
[215/5000][240/535][21886] Loss_D: -0.036570 Loss_G: 0.004280 Loss_D_real: -0.016393 Loss_D_fake 0.020177
[215/5000][245/535][21887] Loss_D: -0.038482 Loss_G: 0.013458 Loss_D_real: -0.022618 Loss_D_fake 0.015864
[215/5000][250/535][21888] Loss_D: -0.036385 Loss_G: 0.014184 Loss_D_real: -0.023722 Loss_D_fake 0.012663
[215/5000][255/535][21889] Loss_D: -0.036572 Loss_G: 0.038614 Loss_D_real: -0.043420 Loss_D_fake -0.006848
[215/5000][260/535][21890] Loss_D: -0.035070 Loss_G: -0.002932 Loss_D_real: -0.003679 Loss_D_fake 0.031390
[215/5000][265/535][21891] Loss_D: -0.035713 Loss_G: 0.029944 Loss_D_real: -0.036609 Loss_D_fake -0.000896
[215/5000][270/535][21892] Loss_D: -0.037831 Loss_G: 0.006626 Loss_D_real: -0.024696 Loss_D_fake 0.013135
[215/5000][275/535][21893] Loss_D: -0.037471 Loss_G: 0.021414 Loss_D_real: -0.023728 Loss_D_fake 0.013743
[215/5000][280/535][21894] Loss_D: -0.035891 Loss_G: 0.030401 Loss_D_real: -0.035146 Loss_D_fake 0.000745
[215/5000][285/535][21895] Loss_D: -0.035440 Loss_G: 0.029295 Loss_D_real: -0.037478 Loss_D_fake -0.002038
[215/5000][290/535][21896] Loss_D: -0.038178 Loss_G: 0.026160 Loss_D_real: -0.026404 Loss_D_fake 0.011774
[215/5000][295/535][21897] Loss_D: -0.037420 Loss_G: 0.006105 Loss_D_real: -0.021034 Loss_D_fake 0.016386
[215/5000][300/535][21898] Loss_D: -0.035238 Loss_G: 0.031345 Loss_D_real: -0.035235 Loss_D_fake 0.000003
[215/5000][305/535][21899] Loss_D: -0.036731 Loss_G: -0.011368 Loss_D_real: -0.004870 Loss_D_fake 0.031861
[215/5000][310/535][21900] Loss_D: -0.034663 Loss_G: 0.020740 Loss_D_real: -0.028263 Loss_D_fake 0.006400
[215/5000][315/535][21901] Loss_D: -0.036218 Loss_G: 0.013204 Loss_D_real: -0.020353 Loss_D_fake 0.015865
[215/5000][320/535][21902] Loss_D: -0.035159 Loss_G: 0.006890 Loss_D_real: -0.018396 Loss_D_fake 0.016762
[215/5000][325/535][21903] Loss_D: -0.034908 Loss_G: -0.004227 Loss_D_real: -0.014739 Loss_D_fake 0.020169
[215/5000][330/535][21904] Loss_D: -0.033643 Loss_G: 0.032691 Loss_D_real: -0.045157 Loss_D_fake -0.011514
[215/5000][335/535][21905] Loss_D: -0.035332 Loss_G: 0.018316 Loss_D_real: -0.024173 Loss_D_fake 0.011160
[215/5000][340/535][21906] Loss_D: -0.035038 Loss_G: 0.024946 Loss_D_real: -0.030004 Loss_D_fake 0.005034
[215/5000][345/535][21907] Loss_D: -0.035160 Loss_G: 0.015388 Loss_D_real: -0.017729 Loss_D_fake 0.017431
[215/5000][350/535][21908] Loss_D: -0.037128 Loss_G: 0.029040 Loss_D_real: -0.034656 Loss_D_fake 0.002472
[215/5000][355/535][21909] Loss_D: -0.035061 Loss_G: -0.009035 Loss_D_real: -0.006680 Loss_D_fake 0.028382
[215/5000][360/535][21910] Loss_D: -0.035730 Loss_G: 0.030629 Loss_D_real: -0.042278 Loss_D_fake -0.006549
[215/5000][365/535][21911] Loss_D: -0.036159 Loss_G: 0.015017 Loss_D_real: -0.021400 Loss_D_fake 0.014759
[215/5000][370/535][21912] Loss_D: -0.036346 Loss_G: 0.026472 Loss_D_real: -0.027404 Loss_D_fake 0.008942
[215/5000][375/535][21913] Loss_D: -0.036043 Loss_G: 0.024323 Loss_D_real: -0.032685 Loss_D_fake 0.003358
[215/5000][380/535][21914] Loss_D: -0.036746 Loss_G: 0.019813 Loss_D_real: -0.028207 Loss_D_fake 0.008539
[215/5000][385/535][21915] Loss_D: -0.037811 Loss_G: 0.016840 Loss_D_real: -0.026751 Loss_D_fake 0.011060
[215/5000][390/535][21916] Loss_D: -0.037297 Loss_G: -0.004967 Loss_D_real: -0.014556 Loss_D_fake 0.022740
[215/5000][395/535][21917] Loss_D: -0.036317 Loss_G: 0.030915 Loss_D_real: -0.037648 Loss_D_fake -0.001330
[215/5000][400/535][21918] Loss_D: -0.036690 Loss_G: 0.003547 Loss_D_real: -0.006152 Loss_D_fake 0.030538
[215/5000][405/535][21919] Loss_D: -0.034841 Loss_G: 0.033053 Loss_D_real: -0.039782 Loss_D_fake -0.004941
[215/5000][410/535][21920] Loss_D: -0.038183 Loss_G: 0.003649 Loss_D_real: -0.009415 Loss_D_fake 0.028768
[215/5000][415/535][21921] Loss_D: -0.036079 Loss_G: 0.013140 Loss_D_real: -0.020262 Loss_D_fake 0.015816
[215/5000][420/535][21922] Loss_D: -0.037676 Loss_G: 0.003853 Loss_D_real: -0.019369 Loss_D_fake 0.018308
[215/5000][425/535][21923] Loss_D: -0.035814 Loss_G: 0.038820 Loss_D_real: -0.045363 Loss_D_fake -0.009549
[215/5000][430/535][21924] Loss_D: -0.034825 Loss_G: -0.002734 Loss_D_real: -0.014322 Loss_D_fake 0.020503
[215/5000][435/535][21925] Loss_D: -0.036063 Loss_G: 0.024219 Loss_D_real: -0.028408 Loss_D_fake 0.007655
[215/5000][440/535][21926] Loss_D: -0.034670 Loss_G: 0.033270 Loss_D_real: -0.045359 Loss_D_fake -0.010689
[215/5000][445/535][21927] Loss_D: -0.037053 Loss_G: 0.010943 Loss_D_real: -0.017736 Loss_D_fake 0.019317
[215/5000][450/535][21928] Loss_D: -0.036695 Loss_G: 0.015796 Loss_D_real: -0.030679 Loss_D_fake 0.006016
[215/5000][455/535][21929] Loss_D: -0.036877 Loss_G: 0.005434 Loss_D_real: -0.019210 Loss_D_fake 0.017667
[215/5000][460/535][21930] Loss_D: -0.034256 Loss_G: 0.040962 Loss_D_real: -0.040193 Loss_D_fake -0.005937
[215/5000][465/535][21931] Loss_D: -0.037412 Loss_G: 0.002939 Loss_D_real: -0.021452 Loss_D_fake 0.015960
[215/5000][470/535][21932] Loss_D: -0.035068 Loss_G: 0.034978 Loss_D_real: -0.040627 Loss_D_fake -0.005559
[215/5000][475/535][21933] Loss_D: -0.035946 Loss_G: -0.006401 Loss_D_real: -0.003349 Loss_D_fake 0.032596
[215/5000][480/535][21934] Loss_D: -0.037260 Loss_G: 0.020949 Loss_D_real: -0.033353 Loss_D_fake 0.003908
[215/5000][485/535][21935] Loss_D: -0.036187 Loss_G: -0.009447 Loss_D_real: -0.008377 Loss_D_fake 0.027810
[215/5000][490/535][21936] Loss_D: -0.036807 Loss_G: 0.023515 Loss_D_real: -0.034332 Loss_D_fake 0.002475
[215/5000][495/535][21937] Loss_D: -0.035069 Loss_G: 0.005227 Loss_D_real: -0.011962 Loss_D_fake 0.023107
[215/5000][500/535][21938] Loss_D: -0.036977 Loss_G: 0.022471 Loss_D_real: -0.022503 Loss_D_fake 0.014474
[215/5000][505/535][21939] Loss_D: -0.035992 Loss_G: 0.001532 Loss_D_real: -0.018723 Loss_D_fake 0.017269
[215/5000][510/535][21940] Loss_D: -0.036602 Loss_G: 0.003486 Loss_D_real: -0.016632 Loss_D_fake 0.019970
[215/5000][515/535][21941] Loss_D: -0.036232 Loss_G: 0.039241 Loss_D_real: -0.036759 Loss_D_fake -0.000527
[215/5000][520/535][21942] Loss_D: -0.037562 Loss_G: 0.001831 Loss_D_real: -0.009700 Loss_D_fake 0.027862
[215/5000][525/535][21943] Loss_D: -0.036932 Loss_G: 0.009844 Loss_D_real: -0.020726 Loss_D_fake 0.016207
[215/5000][530/535][21944] Loss_D: -0.036246 Loss_G: 0.026933 Loss_D_real: -0.036426 Loss_D_fake -0.000180
[215/5000][535/535][21945] Loss_D: -0.037693 Loss_G: -0.001846 Loss_D_real: -0.020680 Loss_D_fake 0.017014
[216/5000][5/535][21946] Loss_D: -0.035716 Loss_G: 0.035084 Loss_D_real: -0.034064 Loss_D_fake 0.001652
[216/5000][10/535][21947] Loss_D: -0.035367 Loss_G: 0.003977 Loss_D_real: -0.017225 Loss_D_fake 0.018142
[216/5000][15/535][21948] Loss_D: -0.034824 Loss_G: 0.038866 Loss_D_real: -0.047240 Loss_D_fake -0.012417
[216/5000][20/535][21949] Loss_D: -0.036057 Loss_G: 0.011036 Loss_D_real: -0.024562 Loss_D_fake 0.011495
[216/5000][25/535][21950] Loss_D: -0.034257 Loss_G: -0.003016 Loss_D_real: -0.009604 Loss_D_fake 0.024653
[216/5000][30/535][21951] Loss_D: -0.035955 Loss_G: 0.012407 Loss_D_real: -0.017262 Loss_D_fake 0.018693
[216/5000][35/535][21952] Loss_D: -0.037319 Loss_G: 0.026122 Loss_D_real: -0.024766 Loss_D_fake 0.012553
[216/5000][40/535][21953] Loss_D: -0.037668 Loss_G: 0.004816 Loss_D_real: -0.013463 Loss_D_fake 0.024205
[216/5000][45/535][21954] Loss_D: -0.037236 Loss_G: 0.018020 Loss_D_real: -0.029834 Loss_D_fake 0.007402
[216/5000][50/535][21955] Loss_D: -0.038818 Loss_G: -0.003035 Loss_D_real: -0.012116 Loss_D_fake 0.026702
[216/5000][55/535][21956] Loss_D: -0.036608 Loss_G: 0.033917 Loss_D_real: -0.037144 Loss_D_fake -0.000536
[216/5000][60/535][21957] Loss_D: -0.035716 Loss_G: 0.036870 Loss_D_real: -0.041571 Loss_D_fake -0.005854
[216/5000][65/535][21958] Loss_D: -0.036253 Loss_G: 0.012686 Loss_D_real: -0.020227 Loss_D_fake 0.016027
[216/5000][70/535][21959] Loss_D: -0.035003 Loss_G: 0.032012 Loss_D_real: -0.038531 Loss_D_fake -0.003527
[216/5000][75/535][21960] Loss_D: -0.037168 Loss_G: 0.028443 Loss_D_real: -0.027972 Loss_D_fake 0.009196
[216/5000][80/535][21961] Loss_D: -0.034748 Loss_G: -0.003407 Loss_D_real: -0.013630 Loss_D_fake 0.021119
[216/5000][85/535][21962] Loss_D: -0.038061 Loss_G: 0.021890 Loss_D_real: -0.022000 Loss_D_fake 0.016062
[216/5000][90/535][21963] Loss_D: -0.037630 Loss_G: 0.003472 Loss_D_real: -0.017725 Loss_D_fake 0.019905
[216/5000][95/535][21964] Loss_D: -0.038745 Loss_G: 0.023882 Loss_D_real: -0.031903 Loss_D_fake 0.006842
[216/5000][100/535][21965] Loss_D: -0.039075 Loss_G: 0.021392 Loss_D_real: -0.026335 Loss_D_fake 0.012740
[216/5000][105/535][21966] Loss_D: -0.039649 Loss_G: 0.024339 Loss_D_real: -0.028468 Loss_D_fake 0.011180
[216/5000][110/535][21967] Loss_D: -0.037336 Loss_G: 0.023811 Loss_D_real: -0.025344 Loss_D_fake 0.011992
[216/5000][115/535][21968] Loss_D: -0.036690 Loss_G: -0.013755 Loss_D_real: -0.005701 Loss_D_fake 0.030990
[216/5000][120/535][21969] Loss_D: -0.038273 Loss_G: 0.015954 Loss_D_real: -0.025152 Loss_D_fake 0.013120
[216/5000][125/535][21970] Loss_D: -0.036843 Loss_G: 0.031599 Loss_D_real: -0.036817 Loss_D_fake 0.000026
[216/5000][130/535][21971] Loss_D: -0.036255 Loss_G: -0.007339 Loss_D_real: 0.000111 Loss_D_fake 0.036366
[216/5000][135/535][21972] Loss_D: -0.036495 Loss_G: 0.025735 Loss_D_real: -0.033989 Loss_D_fake 0.002506
[216/5000][140/535][21973] Loss_D: -0.033631 Loss_G: 0.015570 Loss_D_real: -0.025998 Loss_D_fake 0.007633
[216/5000][145/535][21974] Loss_D: -0.039197 Loss_G: 0.010147 Loss_D_real: -0.020761 Loss_D_fake 0.018436
[216/5000][150/535][21975] Loss_D: -0.037974 Loss_G: 0.022786 Loss_D_real: -0.021298 Loss_D_fake 0.016676
[216/5000][155/535][21976] Loss_D: -0.035623 Loss_G: 0.042766 Loss_D_real: -0.042133 Loss_D_fake -0.006511
[216/5000][160/535][21977] Loss_D: -0.035123 Loss_G: 0.000672 Loss_D_real: -0.006468 Loss_D_fake 0.028655
[216/5000][165/535][21978] Loss_D: -0.035239 Loss_G: -0.006092 Loss_D_real: -0.009706 Loss_D_fake 0.025533
[216/5000][170/535][21979] Loss_D: -0.036314 Loss_G: 0.016053 Loss_D_real: -0.019018 Loss_D_fake 0.017295
[216/5000][175/535][21980] Loss_D: -0.037409 Loss_G: 0.016341 Loss_D_real: -0.027876 Loss_D_fake 0.009533
[216/5000][180/535][21981] Loss_D: -0.035087 Loss_G: 0.014967 Loss_D_real: -0.020586 Loss_D_fake 0.014501
[216/5000][185/535][21982] Loss_D: -0.037227 Loss_G: 0.012766 Loss_D_real: -0.019151 Loss_D_fake 0.018076
[216/5000][190/535][21983] Loss_D: -0.036604 Loss_G: 0.010243 Loss_D_real: -0.013624 Loss_D_fake 0.022979
[216/5000][195/535][21984] Loss_D: -0.037291 Loss_G: 0.019892 Loss_D_real: -0.026325 Loss_D_fake 0.010966
[216/5000][200/535][21985] Loss_D: -0.036729 Loss_G: 0.036020 Loss_D_real: -0.036410 Loss_D_fake 0.000319
[216/5000][205/535][21986] Loss_D: -0.036307 Loss_G: 0.013632 Loss_D_real: -0.022068 Loss_D_fake 0.014239
[216/5000][210/535][21987] Loss_D: -0.035878 Loss_G: 0.025054 Loss_D_real: -0.024997 Loss_D_fake 0.010881
[216/5000][215/535][21988] Loss_D: -0.036737 Loss_G: 0.015076 Loss_D_real: -0.026461 Loss_D_fake 0.010275
[216/5000][220/535][21989] Loss_D: -0.036983 Loss_G: 0.021614 Loss_D_real: -0.020794 Loss_D_fake 0.016188
[216/5000][225/535][21990] Loss_D: -0.036252 Loss_G: 0.027161 Loss_D_real: -0.025134 Loss_D_fake 0.011118
[216/5000][230/535][21991] Loss_D: -0.036484 Loss_G: -0.007429 Loss_D_real: -0.010579 Loss_D_fake 0.025905
[216/5000][235/535][21992] Loss_D: -0.036167 Loss_G: 0.032461 Loss_D_real: -0.045126 Loss_D_fake -0.008958
[216/5000][240/535][21993] Loss_D: -0.036707 Loss_G: 0.015994 Loss_D_real: -0.030189 Loss_D_fake 0.006518
[216/5000][245/535][21994] Loss_D: -0.036860 Loss_G: 0.025019 Loss_D_real: -0.029841 Loss_D_fake 0.007019
[216/5000][250/535][21995] Loss_D: -0.037737 Loss_G: -0.002952 Loss_D_real: -0.014534 Loss_D_fake 0.023203
[216/5000][255/535][21996] Loss_D: -0.035925 Loss_G: 0.032435 Loss_D_real: -0.034824 Loss_D_fake 0.001101
[216/5000][260/535][21997] Loss_D: -0.036608 Loss_G: 0.035490 Loss_D_real: -0.038630 Loss_D_fake -0.002022
[216/5000][265/535][21998] Loss_D: -0.035368 Loss_G: 0.030667 Loss_D_real: -0.031023 Loss_D_fake 0.004345
[216/5000][270/535][21999] Loss_D: -0.034957 Loss_G: -0.015277 Loss_D_real: -0.006525 Loss_D_fake 0.028431
[216/5000][275/535][22000] Loss_D: -0.032679 Loss_G: 0.040350 Loss_D_real: -0.042536 Loss_D_fake -0.009858
[216/5000][375/535][22001] Loss_D: -0.036770 Loss_G: -0.013560 Loss_D_real: -0.002038 Loss_D_fake 0.034732
[216/5000][380/535][22002] Loss_D: -0.037043 Loss_G: 0.032367 Loss_D_real: -0.034954 Loss_D_fake 0.002088
[216/5000][385/535][22003] Loss_D: -0.034433 Loss_G: 0.015753 Loss_D_real: -0.015031 Loss_D_fake 0.019402
[216/5000][390/535][22004] Loss_D: -0.035475 Loss_G: 0.026627 Loss_D_real: -0.032188 Loss_D_fake 0.003288
[216/5000][395/535][22005] Loss_D: -0.035695 Loss_G: 0.010044 Loss_D_real: -0.011647 Loss_D_fake 0.024048
[216/5000][400/535][22006] Loss_D: -0.034503 Loss_G: 0.034540 Loss_D_real: -0.040488 Loss_D_fake -0.005985
[216/5000][405/535][22007] Loss_D: -0.038725 Loss_G: 0.017899 Loss_D_real: -0.023475 Loss_D_fake 0.015250
[216/5000][410/535][22008] Loss_D: -0.036882 Loss_G: 0.031767 Loss_D_real: -0.035230 Loss_D_fake 0.001653
[216/5000][415/535][22009] Loss_D: -0.037111 Loss_G: 0.028062 Loss_D_real: -0.029382 Loss_D_fake 0.007728
[216/5000][420/535][22010] Loss_D: -0.036065 Loss_G: 0.037474 Loss_D_real: -0.043290 Loss_D_fake -0.007225
[216/5000][425/535][22011] Loss_D: -0.036478 Loss_G: 0.034512 Loss_D_real: -0.027729 Loss_D_fake 0.008750
[216/5000][430/535][22012] Loss_D: -0.036040 Loss_G: 0.028135 Loss_D_real: -0.025929 Loss_D_fake 0.010110
[216/5000][435/535][22013] Loss_D: -0.035717 Loss_G: -0.003414 Loss_D_real: -0.004619 Loss_D_fake 0.031098
[216/5000][440/535][22014] Loss_D: -0.036101 Loss_G: 0.020997 Loss_D_real: -0.023973 Loss_D_fake 0.012127
[216/5000][445/535][22015] Loss_D: -0.037904 Loss_G: 0.000154 Loss_D_real: -0.019782 Loss_D_fake 0.018122
[216/5000][450/535][22016] Loss_D: -0.036462 Loss_G: 0.028760 Loss_D_real: -0.033850 Loss_D_fake 0.002612
[216/5000][455/535][22017] Loss_D: -0.033069 Loss_G: -0.015828 Loss_D_real: 0.003093 Loss_D_fake 0.036162
[216/5000][460/535][22018] Loss_D: -0.035514 Loss_G: 0.025104 Loss_D_real: -0.025577 Loss_D_fake 0.009937
[216/5000][465/535][22019] Loss_D: -0.035203 Loss_G: 0.019719 Loss_D_real: -0.022038 Loss_D_fake 0.013165
[216/5000][470/535][22020] Loss_D: -0.036248 Loss_G: 0.020750 Loss_D_real: -0.025985 Loss_D_fake 0.010263
[216/5000][475/535][22021] Loss_D: -0.035460 Loss_G: 0.011532 Loss_D_real: -0.017799 Loss_D_fake 0.017661
[216/5000][480/535][22022] Loss_D: -0.035797 Loss_G: 0.033880 Loss_D_real: -0.033364 Loss_D_fake 0.002433
[216/5000][485/535][22023] Loss_D: -0.036755 Loss_G: 0.001461 Loss_D_real: -0.015596 Loss_D_fake 0.021160
[216/5000][490/535][22024] Loss_D: -0.035980 Loss_G: 0.016407 Loss_D_real: -0.033239 Loss_D_fake 0.002741
[216/5000][495/535][22025] Loss_D: -0.037662 Loss_G: 0.015022 Loss_D_real: -0.030610 Loss_D_fake 0.007052
[216/5000][500/535][22026] Loss_D: -0.037259 Loss_G: 0.022922 Loss_D_real: -0.027265 Loss_D_fake 0.009994
[216/5000][505/535][22027] Loss_D: -0.036919 Loss_G: 0.013430 Loss_D_real: -0.021945 Loss_D_fake 0.014974
[216/5000][510/535][22028] Loss_D: -0.036148 Loss_G: 0.026407 Loss_D_real: -0.035183 Loss_D_fake 0.000965
[216/5000][515/535][22029] Loss_D: -0.035537 Loss_G: 0.043414 Loss_D_real: -0.034761 Loss_D_fake 0.000776
[216/5000][520/535][22030] Loss_D: -0.035338 Loss_G: 0.001861 Loss_D_real: -0.012507 Loss_D_fake 0.022831
[216/5000][525/535][22031] Loss_D: -0.036529 Loss_G: 0.027211 Loss_D_real: -0.034632 Loss_D_fake 0.001896
[216/5000][530/535][22032] Loss_D: -0.035858 Loss_G: 0.015290 Loss_D_real: -0.019286 Loss_D_fake 0.016571
[216/5000][535/535][22033] Loss_D: -0.035573 Loss_G: 0.009629 Loss_D_real: -0.008883 Loss_D_fake 0.026690
[217/5000][5/535][22034] Loss_D: -0.034779 Loss_G: -0.013787 Loss_D_real: -0.003134 Loss_D_fake 0.031645
[217/5000][10/535][22035] Loss_D: -0.035032 Loss_G: 0.033729 Loss_D_real: -0.045834 Loss_D_fake -0.010802
[217/5000][15/535][22036] Loss_D: -0.037162 Loss_G: -0.012493 Loss_D_real: 0.004952 Loss_D_fake 0.042113
[217/5000][20/535][22037] Loss_D: -0.035910 Loss_G: 0.024121 Loss_D_real: -0.030615 Loss_D_fake 0.005296
[217/5000][25/535][22038] Loss_D: -0.035359 Loss_G: -0.006507 Loss_D_real: -0.010756 Loss_D_fake 0.024603
[217/5000][30/535][22039] Loss_D: -0.035204 Loss_G: 0.017583 Loss_D_real: -0.023177 Loss_D_fake 0.012026
[217/5000][35/535][22040] Loss_D: -0.037013 Loss_G: 0.016494 Loss_D_real: -0.022046 Loss_D_fake 0.014968
[217/5000][40/535][22041] Loss_D: -0.034840 Loss_G: 0.037876 Loss_D_real: -0.036864 Loss_D_fake -0.002024
[217/5000][45/535][22042] Loss_D: -0.034571 Loss_G: -0.005113 Loss_D_real: -0.004808 Loss_D_fake 0.029764
[217/5000][50/535][22043] Loss_D: -0.034556 Loss_G: 0.005656 Loss_D_real: -0.012929 Loss_D_fake 0.021626
[217/5000][55/535][22044] Loss_D: -0.033760 Loss_G: 0.031653 Loss_D_real: -0.034305 Loss_D_fake -0.000546
[217/5000][60/535][22045] Loss_D: -0.035566 Loss_G: 0.006646 Loss_D_real: -0.022303 Loss_D_fake 0.013263
[217/5000][65/535][22046] Loss_D: -0.035607 Loss_G: 0.018265 Loss_D_real: -0.027678 Loss_D_fake 0.007929
[217/5000][70/535][22047] Loss_D: -0.037317 Loss_G: -0.002220 Loss_D_real: -0.014498 Loss_D_fake 0.022818
[217/5000][75/535][22048] Loss_D: -0.037484 Loss_G: 0.011898 Loss_D_real: -0.017721 Loss_D_fake 0.019763
[217/5000][80/535][22049] Loss_D: -0.036056 Loss_G: 0.038753 Loss_D_real: -0.035187 Loss_D_fake 0.000869
[217/5000][85/535][22050] Loss_D: -0.035697 Loss_G: 0.005795 Loss_D_real: -0.016128 Loss_D_fake 0.019569
[217/5000][90/535][22051] Loss_D: -0.035342 Loss_G: 0.015209 Loss_D_real: -0.016246 Loss_D_fake 0.019096
[217/5000][95/535][22052] Loss_D: -0.036853 Loss_G: 0.002334 Loss_D_real: -0.011449 Loss_D_fake 0.025405
[217/5000][100/535][22053] Loss_D: -0.036258 Loss_G: 0.038566 Loss_D_real: -0.037905 Loss_D_fake -0.001647
[217/5000][105/535][22054] Loss_D: -0.034842 Loss_G: -0.011624 Loss_D_real: -0.004711 Loss_D_fake 0.030131
[217/5000][110/535][22055] Loss_D: -0.035972 Loss_G: 0.016258 Loss_D_real: -0.021885 Loss_D_fake 0.014087
[217/5000][115/535][22056] Loss_D: -0.036482 Loss_G: 0.007410 Loss_D_real: -0.021538 Loss_D_fake 0.014944
[217/5000][120/535][22057] Loss_D: -0.036697 Loss_G: 0.028966 Loss_D_real: -0.035466 Loss_D_fake 0.001231
[217/5000][125/535][22058] Loss_D: -0.037894 Loss_G: 0.000358 Loss_D_real: -0.013104 Loss_D_fake 0.024791
[217/5000][130/535][22059] Loss_D: -0.036345 Loss_G: 0.037885 Loss_D_real: -0.039781 Loss_D_fake -0.003436
[217/5000][135/535][22060] Loss_D: -0.036610 Loss_G: 0.001726 Loss_D_real: -0.011118 Loss_D_fake 0.025492
[217/5000][140/535][22061] Loss_D: -0.035859 Loss_G: 0.045738 Loss_D_real: -0.042031 Loss_D_fake -0.006172
[217/5000][145/535][22062] Loss_D: -0.037648 Loss_G: 0.010573 Loss_D_real: -0.015188 Loss_D_fake 0.022460
[217/5000][150/535][22063] Loss_D: -0.036987 Loss_G: 0.026649 Loss_D_real: -0.029923 Loss_D_fake 0.007063
[217/5000][155/535][22064] Loss_D: -0.037684 Loss_G: 0.017556 Loss_D_real: -0.020190 Loss_D_fake 0.017494
[217/5000][160/535][22065] Loss_D: -0.036613 Loss_G: 0.012232 Loss_D_real: -0.023491 Loss_D_fake 0.013122
[217/5000][165/535][22066] Loss_D: -0.037286 Loss_G: 0.046837 Loss_D_real: -0.044168 Loss_D_fake -0.006881
[217/5000][170/535][22067] Loss_D: -0.033674 Loss_G: -0.020711 Loss_D_real: 0.002572 Loss_D_fake 0.036246
[217/5000][175/535][22068] Loss_D: -0.036093 Loss_G: 0.025992 Loss_D_real: -0.034945 Loss_D_fake 0.001148
[217/5000][180/535][22069] Loss_D: -0.036041 Loss_G: 0.013674 Loss_D_real: -0.014531 Loss_D_fake 0.021510
[217/5000][185/535][22070] Loss_D: -0.035684 Loss_G: 0.033167 Loss_D_real: -0.032635 Loss_D_fake 0.003049
[217/5000][190/535][22071] Loss_D: -0.034693 Loss_G: -0.009446 Loss_D_real: -0.003896 Loss_D_fake 0.030797
[217/5000][195/535][22072] Loss_D: -0.034170 Loss_G: 0.024541 Loss_D_real: -0.033600 Loss_D_fake 0.000570
[217/5000][200/535][22073] Loss_D: -0.037034 Loss_G: 0.011551 Loss_D_real: -0.020313 Loss_D_fake 0.016721
[217/5000][205/535][22074] Loss_D: -0.035794 Loss_G: 0.030554 Loss_D_real: -0.034286 Loss_D_fake 0.001508
[217/5000][210/535][22075] Loss_D: -0.035649 Loss_G: 0.003280 Loss_D_real: -0.008575 Loss_D_fake 0.027074
[217/5000][215/535][22076] Loss_D: -0.037050 Loss_G: 0.003143 Loss_D_real: -0.019098 Loss_D_fake 0.017952
[217/5000][220/535][22077] Loss_D: -0.035490 Loss_G: 0.017431 Loss_D_real: -0.027191 Loss_D_fake 0.008300
[217/5000][225/535][22078] Loss_D: -0.037003 Loss_G: 0.024809 Loss_D_real: -0.027437 Loss_D_fake 0.009566
[217/5000][230/535][22079] Loss_D: -0.035939 Loss_G: 0.010870 Loss_D_real: -0.021449 Loss_D_fake 0.014490
[217/5000][235/535][22080] Loss_D: -0.036422 Loss_G: 0.023518 Loss_D_real: -0.031469 Loss_D_fake 0.004953
[217/5000][240/535][22081] Loss_D: -0.036486 Loss_G: 0.034894 Loss_D_real: -0.037384 Loss_D_fake -0.000898
[217/5000][245/535][22082] Loss_D: -0.037109 Loss_G: 0.007281 Loss_D_real: -0.022565 Loss_D_fake 0.014544
[217/5000][250/535][22083] Loss_D: -0.035897 Loss_G: 0.024591 Loss_D_real: -0.028247 Loss_D_fake 0.007651
[217/5000][255/535][22084] Loss_D: -0.036573 Loss_G: 0.025019 Loss_D_real: -0.036593 Loss_D_fake -0.000020
[217/5000][260/535][22085] Loss_D: -0.036465 Loss_G: 0.029033 Loss_D_real: -0.032784 Loss_D_fake 0.003680
[217/5000][265/535][22086] Loss_D: -0.036387 Loss_G: 0.008940 Loss_D_real: -0.023131 Loss_D_fake 0.013256
[217/5000][270/535][22087] Loss_D: -0.038853 Loss_G: 0.005926 Loss_D_real: -0.025133 Loss_D_fake 0.013720
[217/5000][275/535][22088] Loss_D: -0.038358 Loss_G: 0.004558 Loss_D_real: -0.012921 Loss_D_fake 0.025437
[217/5000][280/535][22089] Loss_D: -0.035678 Loss_G: 0.038038 Loss_D_real: -0.042789 Loss_D_fake -0.007111
[217/5000][285/535][22090] Loss_D: -0.035203 Loss_G: -0.010638 Loss_D_real: -0.005290 Loss_D_fake 0.029914
[217/5000][290/535][22091] Loss_D: -0.035335 Loss_G: 0.031689 Loss_D_real: -0.039073 Loss_D_fake -0.003739
[217/5000][295/535][22092] Loss_D: -0.035708 Loss_G: 0.032363 Loss_D_real: -0.039808 Loss_D_fake -0.004100
[217/5000][300/535][22093] Loss_D: -0.036859 Loss_G: 0.006311 Loss_D_real: -0.009814 Loss_D_fake 0.027045
[217/5000][305/535][22094] Loss_D: -0.035647 Loss_G: 0.017438 Loss_D_real: -0.012097 Loss_D_fake 0.023550
[217/5000][310/535][22095] Loss_D: -0.035093 Loss_G: 0.030374 Loss_D_real: -0.033533 Loss_D_fake 0.001560
[217/5000][315/535][22096] Loss_D: -0.036839 Loss_G: 0.008037 Loss_D_real: -0.018415 Loss_D_fake 0.018424
[217/5000][320/535][22097] Loss_D: -0.036750 Loss_G: -0.001162 Loss_D_real: -0.015316 Loss_D_fake 0.021434
[217/5000][325/535][22098] Loss_D: -0.035912 Loss_G: 0.026994 Loss_D_real: -0.035830 Loss_D_fake 0.000082
[217/5000][330/535][22099] Loss_D: -0.035523 Loss_G: 0.013703 Loss_D_real: -0.021378 Loss_D_fake 0.014144
[217/5000][335/535][22100] Loss_D: -0.037146 Loss_G: -0.001070 Loss_D_real: -0.012637 Loss_D_fake 0.024509
[217/5000][340/535][22101] Loss_D: -0.035715 Loss_G: 0.028891 Loss_D_real: -0.034178 Loss_D_fake 0.001537
[217/5000][345/535][22102] Loss_D: -0.037413 Loss_G: 0.011246 Loss_D_real: -0.017598 Loss_D_fake 0.019816
[217/5000][350/535][22103] Loss_D: -0.036204 Loss_G: 0.018819 Loss_D_real: -0.017752 Loss_D_fake 0.018452
[217/5000][355/535][22104] Loss_D: -0.037128 Loss_G: -0.002613 Loss_D_real: -0.016023 Loss_D_fake 0.021105
[217/5000][360/535][22105] Loss_D: -0.036364 Loss_G: 0.006975 Loss_D_real: -0.011744 Loss_D_fake 0.024620
[217/5000][365/535][22106] Loss_D: -0.037100 Loss_G: 0.013922 Loss_D_real: -0.024872 Loss_D_fake 0.012227
[217/5000][370/535][22107] Loss_D: -0.035786 Loss_G: 0.035774 Loss_D_real: -0.035800 Loss_D_fake -0.000013
[217/5000][375/535][22108] Loss_D: -0.034003 Loss_G: -0.009386 Loss_D_real: -0.002094 Loss_D_fake 0.031909
[217/5000][380/535][22109] Loss_D: -0.035105 Loss_G: 0.021075 Loss_D_real: -0.029384 Loss_D_fake 0.005721
[217/5000][385/535][22110] Loss_D: -0.035991 Loss_G: 0.003230 Loss_D_real: -0.013300 Loss_D_fake 0.022691
[217/5000][390/535][22111] Loss_D: -0.037362 Loss_G: 0.038167 Loss_D_real: -0.036476 Loss_D_fake 0.000886
[217/5000][395/535][22112] Loss_D: -0.038125 Loss_G: 0.005115 Loss_D_real: -0.017175 Loss_D_fake 0.020951
[217/5000][400/535][22113] Loss_D: -0.035575 Loss_G: 0.043818 Loss_D_real: -0.041698 Loss_D_fake -0.006123
[217/5000][405/535][22114] Loss_D: -0.036521 Loss_G: 0.028069 Loss_D_real: -0.035171 Loss_D_fake 0.001350
[217/5000][410/535][22115] Loss_D: -0.036806 Loss_G: 0.013464 Loss_D_real: -0.017634 Loss_D_fake 0.019172
[217/5000][415/535][22116] Loss_D: -0.038736 Loss_G: -0.008807 Loss_D_real: -0.015551 Loss_D_fake 0.023185
[217/5000][420/535][22117] Loss_D: -0.036021 Loss_G: 0.035385 Loss_D_real: -0.034584 Loss_D_fake 0.001437
[217/5000][425/535][22118] Loss_D: -0.035306 Loss_G: -0.015994 Loss_D_real: 0.000465 Loss_D_fake 0.035771
[217/5000][430/535][22119] Loss_D: -0.036362 Loss_G: 0.024870 Loss_D_real: -0.029577 Loss_D_fake 0.006785
[217/5000][435/535][22120] Loss_D: -0.037583 Loss_G: 0.008729 Loss_D_real: -0.023075 Loss_D_fake 0.014508
[217/5000][440/535][22121] Loss_D: -0.037241 Loss_G: 0.038219 Loss_D_real: -0.038522 Loss_D_fake -0.001281
[217/5000][445/535][22122] Loss_D: -0.035452 Loss_G: -0.016582 Loss_D_real: -0.000644 Loss_D_fake 0.034808
[217/5000][450/535][22123] Loss_D: -0.035202 Loss_G: 0.017732 Loss_D_real: -0.024778 Loss_D_fake 0.010424
[217/5000][455/535][22124] Loss_D: -0.036942 Loss_G: 0.015925 Loss_D_real: -0.024667 Loss_D_fake 0.012275
[217/5000][460/535][22125] Loss_D: -0.036575 Loss_G: 0.034500 Loss_D_real: -0.027986 Loss_D_fake 0.008589
[217/5000][465/535][22126] Loss_D: -0.036099 Loss_G: -0.007556 Loss_D_real: -0.005102 Loss_D_fake 0.030996
[217/5000][470/535][22127] Loss_D: -0.036699 Loss_G: 0.030224 Loss_D_real: -0.032082 Loss_D_fake 0.004617
[217/5000][475/535][22128] Loss_D: -0.036987 Loss_G: 0.034102 Loss_D_real: -0.034042 Loss_D_fake 0.002945
[217/5000][480/535][22129] Loss_D: -0.038307 Loss_G: 0.025564 Loss_D_real: -0.024435 Loss_D_fake 0.013872
[217/5000][485/535][22130] Loss_D: -0.038204 Loss_G: 0.018252 Loss_D_real: -0.032224 Loss_D_fake 0.005980
[217/5000][490/535][22131] Loss_D: -0.037605 Loss_G: 0.014397 Loss_D_real: -0.021674 Loss_D_fake 0.015932
[217/5000][495/535][22132] Loss_D: -0.038103 Loss_G: 0.030629 Loss_D_real: -0.038394 Loss_D_fake -0.000291
[217/5000][500/535][22133] Loss_D: -0.036814 Loss_G: 0.004306 Loss_D_real: -0.019995 Loss_D_fake 0.016819
[217/5000][505/535][22134] Loss_D: -0.037236 Loss_G: 0.029876 Loss_D_real: -0.036302 Loss_D_fake 0.000935
[217/5000][510/535][22135] Loss_D: -0.038937 Loss_G: 0.024059 Loss_D_real: -0.027572 Loss_D_fake 0.011365
[217/5000][515/535][22136] Loss_D: -0.037727 Loss_G: 0.011613 Loss_D_real: -0.022603 Loss_D_fake 0.015124
[217/5000][520/535][22137] Loss_D: -0.036086 Loss_G: 0.004123 Loss_D_real: -0.009080 Loss_D_fake 0.027006
[217/5000][525/535][22138] Loss_D: -0.036319 Loss_G: 0.029576 Loss_D_real: -0.034079 Loss_D_fake 0.002240
[217/5000][530/535][22139] Loss_D: -0.034847 Loss_G: -0.000498 Loss_D_real: -0.014116 Loss_D_fake 0.020731
[217/5000][535/535][22140] Loss_D: -0.036094 Loss_G: 0.021912 Loss_D_real: -0.038381 Loss_D_fake -0.002288
[218/5000][5/535][22141] Loss_D: -0.035170 Loss_G: 0.030077 Loss_D_real: -0.037437 Loss_D_fake -0.002267
[218/5000][10/535][22142] Loss_D: -0.036689 Loss_G: 0.006470 Loss_D_real: -0.022407 Loss_D_fake 0.014283
[218/5000][15/535][22143] Loss_D: -0.035168 Loss_G: -0.004959 Loss_D_real: -0.011044 Loss_D_fake 0.024124
[218/5000][20/535][22144] Loss_D: -0.036076 Loss_G: 0.009820 Loss_D_real: -0.023936 Loss_D_fake 0.012140
[218/5000][25/535][22145] Loss_D: -0.037889 Loss_G: 0.027683 Loss_D_real: -0.029515 Loss_D_fake 0.008374
[218/5000][30/535][22146] Loss_D: -0.036673 Loss_G: 0.030185 Loss_D_real: -0.029885 Loss_D_fake 0.006789
[218/5000][35/535][22147] Loss_D: -0.036056 Loss_G: 0.007227 Loss_D_real: -0.024699 Loss_D_fake 0.011357
[218/5000][40/535][22148] Loss_D: -0.035218 Loss_G: 0.032148 Loss_D_real: -0.036727 Loss_D_fake -0.001509
[218/5000][45/535][22149] Loss_D: -0.034580 Loss_G: 0.011229 Loss_D_real: -0.015526 Loss_D_fake 0.019053
[218/5000][50/535][22150] Loss_D: -0.036440 Loss_G: 0.020497 Loss_D_real: -0.024860 Loss_D_fake 0.011579
[218/5000][55/535][22151] Loss_D: -0.034842 Loss_G: 0.035740 Loss_D_real: -0.037467 Loss_D_fake -0.002624
[218/5000][60/535][22152] Loss_D: -0.036590 Loss_G: 0.010986 Loss_D_real: -0.019388 Loss_D_fake 0.017202
[218/5000][65/535][22153] Loss_D: -0.036443 Loss_G: 0.029695 Loss_D_real: -0.034618 Loss_D_fake 0.001825
[218/5000][70/535][22154] Loss_D: -0.036684 Loss_G: -0.008285 Loss_D_real: -0.003428 Loss_D_fake 0.033256
[218/5000][75/535][22155] Loss_D: -0.035853 Loss_G: 0.022737 Loss_D_real: -0.025174 Loss_D_fake 0.010679
[218/5000][80/535][22156] Loss_D: -0.036884 Loss_G: -0.004609 Loss_D_real: -0.005027 Loss_D_fake 0.031856
[218/5000][85/535][22157] Loss_D: -0.035430 Loss_G: 0.031187 Loss_D_real: -0.039640 Loss_D_fake -0.004211
[218/5000][90/535][22158] Loss_D: -0.036252 Loss_G: 0.007763 Loss_D_real: -0.015593 Loss_D_fake 0.020659
[218/5000][95/535][22159] Loss_D: -0.036513 Loss_G: 0.033829 Loss_D_real: -0.038145 Loss_D_fake -0.001632
[218/5000][100/535][22160] Loss_D: -0.037490 Loss_G: 0.003629 Loss_D_real: -0.015248 Loss_D_fake 0.022243
[218/5000][105/535][22161] Loss_D: -0.037178 Loss_G: 0.027381 Loss_D_real: -0.036692 Loss_D_fake 0.000486
[218/5000][110/535][22162] Loss_D: -0.036765 Loss_G: 0.008886 Loss_D_real: -0.011093 Loss_D_fake 0.025672
[218/5000][115/535][22163] Loss_D: -0.037046 Loss_G: -0.001984 Loss_D_real: -0.020408 Loss_D_fake 0.016638
[218/5000][120/535][22164] Loss_D: -0.036712 Loss_G: 0.007434 Loss_D_real: -0.011615 Loss_D_fake 0.025097
[218/5000][125/535][22165] Loss_D: -0.037301 Loss_G: -0.005263 Loss_D_real: 0.000186 Loss_D_fake 0.037487
[218/5000][130/535][22166] Loss_D: -0.033938 Loss_G: 0.039854 Loss_D_real: -0.038114 Loss_D_fake -0.004176
[218/5000][135/535][22167] Loss_D: -0.035811 Loss_G: -0.002998 Loss_D_real: -0.014905 Loss_D_fake 0.020907
[218/5000][140/535][22168] Loss_D: -0.036578 Loss_G: 0.015579 Loss_D_real: -0.024651 Loss_D_fake 0.011927
[218/5000][145/535][22169] Loss_D: -0.035140 Loss_G: 0.011331 Loss_D_real: -0.019425 Loss_D_fake 0.015715
[218/5000][150/535][22170] Loss_D: -0.035461 Loss_G: 0.035444 Loss_D_real: -0.032980 Loss_D_fake 0.002480
[218/5000][155/535][22171] Loss_D: -0.035819 Loss_G: -0.005160 Loss_D_real: -0.009763 Loss_D_fake 0.026057
[218/5000][160/535][22172] Loss_D: -0.035311 Loss_G: 0.019258 Loss_D_real: -0.031517 Loss_D_fake 0.003795
[218/5000][165/535][22173] Loss_D: -0.038010 Loss_G: 0.017211 Loss_D_real: -0.024312 Loss_D_fake 0.013698
[218/5000][170/535][22174] Loss_D: -0.037464 Loss_G: 0.016572 Loss_D_real: -0.025574 Loss_D_fake 0.011890
[218/5000][175/535][22175] Loss_D: -0.037066 Loss_G: 0.037865 Loss_D_real: -0.029813 Loss_D_fake 0.007254
[218/5000][180/535][22176] Loss_D: -0.037239 Loss_G: 0.000068 Loss_D_real: -0.016852 Loss_D_fake 0.020387
[218/5000][185/535][22177] Loss_D: -0.038015 Loss_G: 0.018015 Loss_D_real: -0.022058 Loss_D_fake 0.015957
[218/5000][190/535][22178] Loss_D: -0.036027 Loss_G: 0.024853 Loss_D_real: -0.033129 Loss_D_fake 0.002898
[218/5000][195/535][22179] Loss_D: -0.036820 Loss_G: -0.013906 Loss_D_real: -0.008954 Loss_D_fake 0.027866
[218/5000][200/535][22180] Loss_D: -0.035092 Loss_G: 0.031068 Loss_D_real: -0.037615 Loss_D_fake -0.002524
[218/5000][205/535][22181] Loss_D: -0.036665 Loss_G: 0.034539 Loss_D_real: -0.037939 Loss_D_fake -0.001273
[218/5000][210/535][22182] Loss_D: -0.036285 Loss_G: -0.004509 Loss_D_real: -0.011920 Loss_D_fake 0.024365
[218/5000][215/535][22183] Loss_D: -0.037155 Loss_G: 0.027867 Loss_D_real: -0.028593 Loss_D_fake 0.008562
[218/5000][220/535][22184] Loss_D: -0.035516 Loss_G: -0.007375 Loss_D_real: -0.007346 Loss_D_fake 0.028169
[218/5000][225/535][22185] Loss_D: -0.035415 Loss_G: 0.007287 Loss_D_real: -0.024943 Loss_D_fake 0.010472
[218/5000][230/535][22186] Loss_D: -0.034694 Loss_G: 0.037889 Loss_D_real: -0.041753 Loss_D_fake -0.007059
[218/5000][235/535][22187] Loss_D: -0.035730 Loss_G: -0.009965 Loss_D_real: -0.004317 Loss_D_fake 0.031414
[218/5000][240/535][22188] Loss_D: -0.034170 Loss_G: 0.010132 Loss_D_real: -0.030401 Loss_D_fake 0.003770
[218/5000][245/535][22189] Loss_D: -0.035571 Loss_G: 0.005888 Loss_D_real: -0.014528 Loss_D_fake 0.021043
[218/5000][250/535][22190] Loss_D: -0.035918 Loss_G: 0.027368 Loss_D_real: -0.029926 Loss_D_fake 0.005993
[218/5000][255/535][22191] Loss_D: -0.036155 Loss_G: 0.016422 Loss_D_real: -0.026129 Loss_D_fake 0.010026
[218/5000][260/535][22192] Loss_D: -0.036770 Loss_G: 0.030221 Loss_D_real: -0.029612 Loss_D_fake 0.007158
[218/5000][265/535][22193] Loss_D: -0.035834 Loss_G: 0.005172 Loss_D_real: -0.013867 Loss_D_fake 0.021967
[218/5000][270/535][22194] Loss_D: -0.035335 Loss_G: 0.001975 Loss_D_real: -0.014476 Loss_D_fake 0.020859
[218/5000][275/535][22195] Loss_D: -0.035781 Loss_G: -0.005866 Loss_D_real: -0.012743 Loss_D_fake 0.023038
[218/5000][280/535][22196] Loss_D: -0.033848 Loss_G: 0.035655 Loss_D_real: -0.036101 Loss_D_fake -0.002253
[218/5000][285/535][22197] Loss_D: -0.037136 Loss_G: -0.013799 Loss_D_real: -0.004969 Loss_D_fake 0.032167
[218/5000][290/535][22198] Loss_D: -0.037013 Loss_G: 0.008027 Loss_D_real: -0.015512 Loss_D_fake 0.021501
[218/5000][295/535][22199] Loss_D: -0.036863 Loss_G: 0.005659 Loss_D_real: -0.020070 Loss_D_fake 0.016794
[218/5000][300/535][22200] Loss_D: -0.037291 Loss_G: 0.042511 Loss_D_real: -0.042673 Loss_D_fake -0.005382
[218/5000][305/535][22201] Loss_D: -0.035024 Loss_G: -0.000440 Loss_D_real: -0.014449 Loss_D_fake 0.020575
[218/5000][310/535][22202] Loss_D: -0.037233 Loss_G: 0.017788 Loss_D_real: -0.025344 Loss_D_fake 0.011889
[218/5000][315/535][22203] Loss_D: -0.036673 Loss_G: 0.024822 Loss_D_real: -0.026096 Loss_D_fake 0.010577
[218/5000][320/535][22204] Loss_D: -0.037769 Loss_G: 0.006792 Loss_D_real: -0.019152 Loss_D_fake 0.018618
[218/5000][325/535][22205] Loss_D: -0.036893 Loss_G: 0.026484 Loss_D_real: -0.025596 Loss_D_fake 0.011297
[218/5000][330/535][22206] Loss_D: -0.036147 Loss_G: 0.000524 Loss_D_real: -0.015238 Loss_D_fake 0.020909
[218/5000][335/535][22207] Loss_D: -0.038644 Loss_G: 0.037195 Loss_D_real: -0.039384 Loss_D_fake -0.000740
[218/5000][340/535][22208] Loss_D: -0.036783 Loss_G: 0.017939 Loss_D_real: -0.009623 Loss_D_fake 0.027160
[218/5000][345/535][22209] Loss_D: -0.039101 Loss_G: 0.020762 Loss_D_real: -0.024325 Loss_D_fake 0.014776
[218/5000][350/535][22210] Loss_D: -0.037633 Loss_G: 0.007483 Loss_D_real: -0.020180 Loss_D_fake 0.017452
[218/5000][355/535][22211] Loss_D: -0.038838 Loss_G: 0.013284 Loss_D_real: -0.027130 Loss_D_fake 0.011708
[218/5000][360/535][22212] Loss_D: -0.036987 Loss_G: 0.029755 Loss_D_real: -0.035938 Loss_D_fake 0.001049
[218/5000][365/535][22213] Loss_D: -0.038248 Loss_G: 0.022807 Loss_D_real: -0.027657 Loss_D_fake 0.010591
[218/5000][370/535][22214] Loss_D: -0.037341 Loss_G: 0.009200 Loss_D_real: -0.018215 Loss_D_fake 0.019126
[218/5000][375/535][22215] Loss_D: -0.036263 Loss_G: 0.018482 Loss_D_real: -0.021561 Loss_D_fake 0.014703
[218/5000][380/535][22216] Loss_D: -0.035829 Loss_G: -0.017476 Loss_D_real: -0.003762 Loss_D_fake 0.032067
[218/5000][385/535][22217] Loss_D: -0.036090 Loss_G: 0.025972 Loss_D_real: -0.040192 Loss_D_fake -0.004102
[218/5000][390/535][22218] Loss_D: -0.035877 Loss_G: -0.007534 Loss_D_real: -0.006518 Loss_D_fake 0.029359
[218/5000][395/535][22219] Loss_D: -0.034490 Loss_G: 0.032416 Loss_D_real: -0.041550 Loss_D_fake -0.007060
[218/5000][400/535][22220] Loss_D: -0.036117 Loss_G: 0.000065 Loss_D_real: -0.008632 Loss_D_fake 0.027485
[218/5000][405/535][22221] Loss_D: -0.036858 Loss_G: 0.029567 Loss_D_real: -0.038479 Loss_D_fake -0.001622
[218/5000][410/535][22222] Loss_D: -0.037300 Loss_G: 0.013161 Loss_D_real: -0.015462 Loss_D_fake 0.021838
[218/5000][415/535][22223] Loss_D: -0.036255 Loss_G: 0.032431 Loss_D_real: -0.038370 Loss_D_fake -0.002115
[218/5000][420/535][22224] Loss_D: -0.035497 Loss_G: 0.022176 Loss_D_real: -0.023187 Loss_D_fake 0.012310
[218/5000][425/535][22225] Loss_D: -0.036969 Loss_G: 0.038315 Loss_D_real: -0.037260 Loss_D_fake -0.000291
[218/5000][430/535][22226] Loss_D: -0.036644 Loss_G: 0.020213 Loss_D_real: -0.024107 Loss_D_fake 0.012537
[218/5000][435/535][22227] Loss_D: -0.036177 Loss_G: 0.011026 Loss_D_real: -0.021054 Loss_D_fake 0.015123
[218/5000][440/535][22228] Loss_D: -0.036684 Loss_G: 0.025635 Loss_D_real: -0.032539 Loss_D_fake 0.004145
[218/5000][445/535][22229] Loss_D: -0.035625 Loss_G: 0.016384 Loss_D_real: -0.022858 Loss_D_fake 0.012768
[218/5000][450/535][22230] Loss_D: -0.036514 Loss_G: 0.010995 Loss_D_real: -0.019649 Loss_D_fake 0.016865
[218/5000][455/535][22231] Loss_D: -0.035825 Loss_G: 0.007970 Loss_D_real: -0.017135 Loss_D_fake 0.018689
[218/5000][460/535][22232] Loss_D: -0.033971 Loss_G: 0.028732 Loss_D_real: -0.035504 Loss_D_fake -0.001533
[218/5000][465/535][22233] Loss_D: -0.036992 Loss_G: -0.000057 Loss_D_real: -0.014543 Loss_D_fake 0.022449
[218/5000][470/535][22234] Loss_D: -0.034830 Loss_G: 0.035696 Loss_D_real: -0.043971 Loss_D_fake -0.009140
[218/5000][475/535][22235] Loss_D: -0.036008 Loss_G: 0.025704 Loss_D_real: -0.030195 Loss_D_fake 0.005813
[218/5000][480/535][22236] Loss_D: -0.035274 Loss_G: 0.003330 Loss_D_real: -0.014935 Loss_D_fake 0.020339
[218/5000][485/535][22237] Loss_D: -0.036239 Loss_G: 0.025572 Loss_D_real: -0.029365 Loss_D_fake 0.006874
[218/5000][490/535][22238] Loss_D: -0.035540 Loss_G: 0.017648 Loss_D_real: -0.025050 Loss_D_fake 0.010490
[218/5000][495/535][22239] Loss_D: -0.036169 Loss_G: 0.032810 Loss_D_real: -0.031913 Loss_D_fake 0.004256
[218/5000][500/535][22240] Loss_D: -0.037045 Loss_G: -0.001887 Loss_D_real: -0.014579 Loss_D_fake 0.022466
[218/5000][505/535][22241] Loss_D: -0.035093 Loss_G: 0.044464 Loss_D_real: -0.045812 Loss_D_fake -0.010719
[218/5000][510/535][22242] Loss_D: -0.035076 Loss_G: -0.012904 Loss_D_real: -0.003595 Loss_D_fake 0.031481
[218/5000][515/535][22243] Loss_D: -0.034503 Loss_G: 0.026746 Loss_D_real: -0.037032 Loss_D_fake -0.002530
[218/5000][520/535][22244] Loss_D: -0.036661 Loss_G: 0.019943 Loss_D_real: -0.028557 Loss_D_fake 0.008103
[218/5000][525/535][22245] Loss_D: -0.035784 Loss_G: 0.018434 Loss_D_real: -0.024545 Loss_D_fake 0.011240
[218/5000][530/535][22246] Loss_D: -0.037893 Loss_G: 0.016065 Loss_D_real: -0.030277 Loss_D_fake 0.007616
[218/5000][535/535][22247] Loss_D: -0.035605 Loss_G: 0.042283 Loss_D_real: -0.037398 Loss_D_fake -0.001792
[219/5000][5/535][22248] Loss_D: -0.035721 Loss_G: -0.003503 Loss_D_real: -0.011510 Loss_D_fake 0.024211
[219/5000][10/535][22249] Loss_D: -0.035138 Loss_G: 0.029977 Loss_D_real: -0.032758 Loss_D_fake 0.002380
[219/5000][15/535][22250] Loss_D: -0.036017 Loss_G: -0.007132 Loss_D_real: -0.012162 Loss_D_fake 0.023855
[219/5000][20/535][22251] Loss_D: -0.034153 Loss_G: 0.019943 Loss_D_real: -0.029712 Loss_D_fake 0.004441
[219/5000][25/535][22252] Loss_D: -0.036624 Loss_G: 0.018461 Loss_D_real: -0.025520 Loss_D_fake 0.011105
[219/5000][30/535][22253] Loss_D: -0.038621 Loss_G: 0.023092 Loss_D_real: -0.026766 Loss_D_fake 0.011855
[219/5000][35/535][22254] Loss_D: -0.037548 Loss_G: -0.001906 Loss_D_real: -0.009228 Loss_D_fake 0.028320
[219/5000][40/535][22255] Loss_D: -0.034626 Loss_G: 0.041212 Loss_D_real: -0.039153 Loss_D_fake -0.004527
[219/5000][45/535][22256] Loss_D: -0.036154 Loss_G: 0.012173 Loss_D_real: -0.018031 Loss_D_fake 0.018122
[219/5000][50/535][22257] Loss_D: -0.036987 Loss_G: 0.038037 Loss_D_real: -0.038394 Loss_D_fake -0.001407
[219/5000][55/535][22258] Loss_D: -0.036498 Loss_G: 0.030793 Loss_D_real: -0.030824 Loss_D_fake 0.005674
[219/5000][60/535][22259] Loss_D: -0.036851 Loss_G: 0.006059 Loss_D_real: -0.019417 Loss_D_fake 0.017434
[219/5000][65/535][22260] Loss_D: -0.035355 Loss_G: 0.032068 Loss_D_real: -0.040721 Loss_D_fake -0.005366
[219/5000][70/535][22261] Loss_D: -0.037140 Loss_G: 0.021672 Loss_D_real: -0.025612 Loss_D_fake 0.011528
[219/5000][75/535][22262] Loss_D: -0.033635 Loss_G: 0.036228 Loss_D_real: -0.042510 Loss_D_fake -0.008875
[219/5000][80/535][22263] Loss_D: -0.036343 Loss_G: 0.018837 Loss_D_real: -0.030625 Loss_D_fake 0.005718
[219/5000][85/535][22264] Loss_D: -0.037634 Loss_G: 0.020248 Loss_D_real: -0.025427 Loss_D_fake 0.012207
[219/5000][90/535][22265] Loss_D: -0.036292 Loss_G: 0.023184 Loss_D_real: -0.033868 Loss_D_fake 0.002424
[219/5000][95/535][22266] Loss_D: -0.037201 Loss_G: 0.005188 Loss_D_real: -0.015440 Loss_D_fake 0.021760
[219/5000][100/535][22267] Loss_D: -0.036235 Loss_G: 0.028831 Loss_D_real: -0.044051 Loss_D_fake -0.007816
[219/5000][105/535][22268] Loss_D: -0.037236 Loss_G: 0.014759 Loss_D_real: -0.020364 Loss_D_fake 0.016873
[219/5000][110/535][22269] Loss_D: -0.034419 Loss_G: 0.031528 Loss_D_real: -0.036599 Loss_D_fake -0.002180
[219/5000][115/535][22270] Loss_D: -0.032999 Loss_G: 0.018790 Loss_D_real: -0.028131 Loss_D_fake 0.004868
[219/5000][120/535][22271] Loss_D: -0.036564 Loss_G: 0.018440 Loss_D_real: -0.025787 Loss_D_fake 0.010777
[219/5000][125/535][22272] Loss_D: -0.035321 Loss_G: 0.024734 Loss_D_real: -0.029387 Loss_D_fake 0.005934
[219/5000][130/535][22273] Loss_D: -0.036842 Loss_G: 0.017148 Loss_D_real: -0.024734 Loss_D_fake 0.012108
[219/5000][135/535][22274] Loss_D: -0.035277 Loss_G: 0.030666 Loss_D_real: -0.031689 Loss_D_fake 0.003588
[219/5000][140/535][22275] Loss_D: -0.036061 Loss_G: -0.005804 Loss_D_real: -0.007016 Loss_D_fake 0.029044
[219/5000][145/535][22276] Loss_D: -0.033909 Loss_G: 0.039423 Loss_D_real: -0.041968 Loss_D_fake -0.008059
[219/5000][150/535][22277] Loss_D: -0.037106 Loss_G: 0.015112 Loss_D_real: -0.018317 Loss_D_fake 0.018789
[219/5000][155/535][22278] Loss_D: -0.036193 Loss_G: -0.009529 Loss_D_real: -0.006869 Loss_D_fake 0.029324
[219/5000][160/535][22279] Loss_D: -0.034884 Loss_G: 0.022645 Loss_D_real: -0.033571 Loss_D_fake 0.001312
[219/5000][165/535][22280] Loss_D: -0.036790 Loss_G: -0.008892 Loss_D_real: -0.011001 Loss_D_fake 0.025789
[219/5000][170/535][22281] Loss_D: -0.035261 Loss_G: 0.035496 Loss_D_real: -0.038626 Loss_D_fake -0.003365
[219/5000][175/535][22282] Loss_D: -0.034719 Loss_G: -0.005058 Loss_D_real: -0.004070 Loss_D_fake 0.030649
[219/5000][180/535][22283] Loss_D: -0.035535 Loss_G: 0.018067 Loss_D_real: -0.027339 Loss_D_fake 0.008196
[219/5000][185/535][22284] Loss_D: -0.036144 Loss_G: 0.010968 Loss_D_real: -0.014538 Loss_D_fake 0.021607
[219/5000][190/535][22285] Loss_D: -0.036764 Loss_G: 0.024128 Loss_D_real: -0.029650 Loss_D_fake 0.007114
[219/5000][195/535][22286] Loss_D: -0.034357 Loss_G: -0.020662 Loss_D_real: -0.000649 Loss_D_fake 0.033708
[219/5000][200/535][22287] Loss_D: -0.035430 Loss_G: 0.036573 Loss_D_real: -0.029836 Loss_D_fake 0.005594
[219/5000][205/535][22288] Loss_D: -0.034954 Loss_G: 0.001683 Loss_D_real: -0.006423 Loss_D_fake 0.028531
[219/5000][210/535][22289] Loss_D: -0.038198 Loss_G: 0.020194 Loss_D_real: -0.021459 Loss_D_fake 0.016739
[219/5000][215/535][22290] Loss_D: -0.035450 Loss_G: 0.015329 Loss_D_real: -0.023796 Loss_D_fake 0.011654
[219/5000][220/535][22291] Loss_D: -0.036760 Loss_G: 0.011233 Loss_D_real: -0.022137 Loss_D_fake 0.014623
[219/5000][225/535][22292] Loss_D: -0.036716 Loss_G: 0.023755 Loss_D_real: -0.027156 Loss_D_fake 0.009560
[219/5000][230/535][22293] Loss_D: -0.035443 Loss_G: 0.014495 Loss_D_real: -0.029321 Loss_D_fake 0.006122
[219/5000][235/535][22294] Loss_D: -0.037281 Loss_G: 0.028815 Loss_D_real: -0.034195 Loss_D_fake 0.003086
[219/5000][240/535][22295] Loss_D: -0.037691 Loss_G: -0.000039 Loss_D_real: -0.011130 Loss_D_fake 0.026561
[219/5000][245/535][22296] Loss_D: -0.037216 Loss_G: 0.020079 Loss_D_real: -0.025142 Loss_D_fake 0.012074
[219/5000][250/535][22297] Loss_D: -0.038747 Loss_G: 0.032975 Loss_D_real: -0.032500 Loss_D_fake 0.006247
[219/5000][255/535][22298] Loss_D: -0.037765 Loss_G: 0.001597 Loss_D_real: -0.013190 Loss_D_fake 0.024575
[219/5000][260/535][22299] Loss_D: -0.037262 Loss_G: 0.004591 Loss_D_real: -0.021924 Loss_D_fake 0.015338
[219/5000][265/535][22300] Loss_D: -0.039380 Loss_G: 0.025253 Loss_D_real: -0.023093 Loss_D_fake 0.016287
[219/5000][270/535][22301] Loss_D: -0.036279 Loss_G: 0.000070 Loss_D_real: -0.008520 Loss_D_fake 0.027759
[219/5000][275/535][22302] Loss_D: -0.036603 Loss_G: 0.038862 Loss_D_real: -0.033379 Loss_D_fake 0.003224
[219/5000][280/535][22303] Loss_D: -0.035466 Loss_G: -0.007856 Loss_D_real: -0.005989 Loss_D_fake 0.029477
[219/5000][285/535][22304] Loss_D: -0.036913 Loss_G: 0.019370 Loss_D_real: -0.024595 Loss_D_fake 0.012318
[219/5000][290/535][22305] Loss_D: -0.036826 Loss_G: 0.014791 Loss_D_real: -0.031675 Loss_D_fake 0.005151
[219/5000][295/535][22306] Loss_D: -0.036939 Loss_G: 0.031736 Loss_D_real: -0.033383 Loss_D_fake 0.003556
[219/5000][300/535][22307] Loss_D: -0.037192 Loss_G: 0.016156 Loss_D_real: -0.022147 Loss_D_fake 0.015045
[219/5000][305/535][22308] Loss_D: -0.035331 Loss_G: 0.005779 Loss_D_real: -0.011240 Loss_D_fake 0.024091
[219/5000][310/535][22309] Loss_D: -0.034017 Loss_G: 0.020323 Loss_D_real: -0.026896 Loss_D_fake 0.007121
[219/5000][315/535][22310] Loss_D: -0.035580 Loss_G: -0.005324 Loss_D_real: -0.004214 Loss_D_fake 0.031365
[219/5000][320/535][22311] Loss_D: -0.036021 Loss_G: 0.001749 Loss_D_real: -0.014858 Loss_D_fake 0.021163
[219/5000][325/535][22312] Loss_D: -0.037250 Loss_G: 0.016655 Loss_D_real: -0.028864 Loss_D_fake 0.008386
[219/5000][330/535][22313] Loss_D: -0.036191 Loss_G: 0.032165 Loss_D_real: -0.028412 Loss_D_fake 0.007779
[219/5000][335/535][22314] Loss_D: -0.036967 Loss_G: -0.000819 Loss_D_real: -0.009456 Loss_D_fake 0.027512
[219/5000][340/535][22315] Loss_D: -0.033438 Loss_G: 0.040624 Loss_D_real: -0.037509 Loss_D_fake -0.004071
[219/5000][345/535][22316] Loss_D: -0.035505 Loss_G: 0.002235 Loss_D_real: -0.016157 Loss_D_fake 0.019347
[219/5000][350/535][22317] Loss_D: -0.035168 Loss_G: 0.031950 Loss_D_real: -0.030218 Loss_D_fake 0.004950
[219/5000][355/535][22318] Loss_D: -0.037010 Loss_G: 0.006163 Loss_D_real: -0.014474 Loss_D_fake 0.022537
[219/5000][360/535][22319] Loss_D: -0.035158 Loss_G: 0.038123 Loss_D_real: -0.040765 Loss_D_fake -0.005608
[219/5000][365/535][22320] Loss_D: -0.037919 Loss_G: 0.014375 Loss_D_real: -0.023264 Loss_D_fake 0.014654
[219/5000][370/535][22321] Loss_D: -0.036359 Loss_G: 0.020379 Loss_D_real: -0.029103 Loss_D_fake 0.007256
[219/5000][375/535][22322] Loss_D: -0.037096 Loss_G: 0.012470 Loss_D_real: -0.020289 Loss_D_fake 0.016807
[219/5000][380/535][22323] Loss_D: -0.037961 Loss_G: 0.016292 Loss_D_real: -0.020404 Loss_D_fake 0.017557
[219/5000][385/535][22324] Loss_D: -0.036829 Loss_G: 0.014517 Loss_D_real: -0.018892 Loss_D_fake 0.017936
[219/5000][390/535][22325] Loss_D: -0.039021 Loss_G: 0.024936 Loss_D_real: -0.027908 Loss_D_fake 0.011113
[219/5000][395/535][22326] Loss_D: -0.037810 Loss_G: 0.022804 Loss_D_real: -0.024022 Loss_D_fake 0.013788
[219/5000][400/535][22327] Loss_D: -0.035239 Loss_G: -0.012198 Loss_D_real: -0.005509 Loss_D_fake 0.029730
[219/5000][405/535][22328] Loss_D: -0.035610 Loss_G: 0.031709 Loss_D_real: -0.033513 Loss_D_fake 0.002097
[219/5000][410/535][22329] Loss_D: -0.036042 Loss_G: -0.012949 Loss_D_real: -0.000858 Loss_D_fake 0.035184
[219/5000][415/535][22330] Loss_D: -0.035794 Loss_G: 0.022348 Loss_D_real: -0.028560 Loss_D_fake 0.007234
[219/5000][420/535][22331] Loss_D: -0.036721 Loss_G: 0.017844 Loss_D_real: -0.018612 Loss_D_fake 0.018109
[219/5000][425/535][22332] Loss_D: -0.037497 Loss_G: -0.002213 Loss_D_real: -0.011689 Loss_D_fake 0.025807
[219/5000][430/535][22333] Loss_D: -0.036285 Loss_G: 0.023769 Loss_D_real: -0.031616 Loss_D_fake 0.004670
[219/5000][435/535][22334] Loss_D: -0.034771 Loss_G: 0.045020 Loss_D_real: -0.036805 Loss_D_fake -0.002034
[219/5000][440/535][22335] Loss_D: -0.036395 Loss_G: 0.015124 Loss_D_real: -0.020988 Loss_D_fake 0.015407
[219/5000][445/535][22336] Loss_D: -0.035868 Loss_G: 0.037672 Loss_D_real: -0.044379 Loss_D_fake -0.008511
[219/5000][450/535][22337] Loss_D: -0.037793 Loss_G: 0.015992 Loss_D_real: -0.019805 Loss_D_fake 0.017988
[219/5000][455/535][22338] Loss_D: -0.036368 Loss_G: -0.001082 Loss_D_real: -0.011070 Loss_D_fake 0.025298
[219/5000][460/535][22339] Loss_D: -0.033987 Loss_G: 0.040002 Loss_D_real: -0.044576 Loss_D_fake -0.010589
[219/5000][465/535][22340] Loss_D: -0.036186 Loss_G: -0.002930 Loss_D_real: -0.004497 Loss_D_fake 0.031688
[219/5000][470/535][22341] Loss_D: -0.034719 Loss_G: 0.031067 Loss_D_real: -0.035741 Loss_D_fake -0.001022
[219/5000][475/535][22342] Loss_D: -0.034632 Loss_G: 0.002104 Loss_D_real: -0.005034 Loss_D_fake 0.029598
[219/5000][480/535][22343] Loss_D: -0.035325 Loss_G: 0.009998 Loss_D_real: -0.018819 Loss_D_fake 0.016507
[219/5000][485/535][22344] Loss_D: -0.034386 Loss_G: 0.024694 Loss_D_real: -0.022764 Loss_D_fake 0.011622
[219/5000][490/535][22345] Loss_D: -0.033626 Loss_G: 0.005382 Loss_D_real: -0.018672 Loss_D_fake 0.014954
[219/5000][495/535][22346] Loss_D: -0.035363 Loss_G: 0.027099 Loss_D_real: -0.028233 Loss_D_fake 0.007130
[219/5000][500/535][22347] Loss_D: -0.036180 Loss_G: 0.001538 Loss_D_real: -0.011592 Loss_D_fake 0.024587
[219/5000][505/535][22348] Loss_D: -0.035937 Loss_G: 0.008382 Loss_D_real: -0.018978 Loss_D_fake 0.016959
[219/5000][510/535][22349] Loss_D: -0.037702 Loss_G: 0.031600 Loss_D_real: -0.038168 Loss_D_fake -0.000465
[219/5000][515/535][22350] Loss_D: -0.037050 Loss_G: 0.009973 Loss_D_real: -0.008461 Loss_D_fake 0.028588
[219/5000][520/535][22351] Loss_D: -0.035807 Loss_G: 0.013613 Loss_D_real: -0.024058 Loss_D_fake 0.011749
[219/5000][525/535][22352] Loss_D: -0.035702 Loss_G: 0.015103 Loss_D_real: -0.021989 Loss_D_fake 0.013712
[219/5000][530/535][22353] Loss_D: -0.033590 Loss_G: 0.038013 Loss_D_real: -0.046207 Loss_D_fake -0.012617
[219/5000][535/535][22354] Loss_D: -0.031892 Loss_G: -0.011829 Loss_D_real: -0.017268 Loss_D_fake 0.014623
[220/5000][5/535][22355] Loss_D: -0.036684 Loss_G: 0.026773 Loss_D_real: -0.029913 Loss_D_fake 0.006772
[220/5000][10/535][22356] Loss_D: -0.036414 Loss_G: 0.009403 Loss_D_real: -0.007036 Loss_D_fake 0.029378
[220/5000][15/535][22357] Loss_D: -0.036287 Loss_G: 0.024285 Loss_D_real: -0.034603 Loss_D_fake 0.001685
[220/5000][20/535][22358] Loss_D: -0.037656 Loss_G: 0.022418 Loss_D_real: -0.031525 Loss_D_fake 0.006130
[220/5000][25/535][22359] Loss_D: -0.037068 Loss_G: 0.025807 Loss_D_real: -0.027815 Loss_D_fake 0.009253
[220/5000][30/535][22360] Loss_D: -0.035102 Loss_G: 0.003416 Loss_D_real: -0.009246 Loss_D_fake 0.025856
[220/5000][35/535][22361] Loss_D: -0.034911 Loss_G: 0.004999 Loss_D_real: -0.013375 Loss_D_fake 0.021536
[220/5000][40/535][22362] Loss_D: -0.037812 Loss_G: 0.024923 Loss_D_real: -0.029815 Loss_D_fake 0.007997
[220/5000][45/535][22363] Loss_D: -0.035874 Loss_G: 0.008245 Loss_D_real: -0.021074 Loss_D_fake 0.014800
[220/5000][50/535][22364] Loss_D: -0.034886 Loss_G: 0.044457 Loss_D_real: -0.040634 Loss_D_fake -0.005748
[220/5000][55/535][22365] Loss_D: -0.036689 Loss_G: -0.000933 Loss_D_real: -0.012538 Loss_D_fake 0.024151
[220/5000][60/535][22366] Loss_D: -0.037290 Loss_G: 0.020344 Loss_D_real: -0.024863 Loss_D_fake 0.012427
[220/5000][65/535][22367] Loss_D: -0.035832 Loss_G: 0.023314 Loss_D_real: -0.032843 Loss_D_fake 0.002989
[220/5000][70/535][22368] Loss_D: -0.037810 Loss_G: 0.029442 Loss_D_real: -0.026218 Loss_D_fake 0.011592
[220/5000][75/535][22369] Loss_D: -0.036768 Loss_G: 0.032082 Loss_D_real: -0.038630 Loss_D_fake -0.001862
[220/5000][80/535][22370] Loss_D: -0.036090 Loss_G: 0.015433 Loss_D_real: -0.026751 Loss_D_fake 0.009339
[220/5000][85/535][22371] Loss_D: -0.036636 Loss_G: 0.001744 Loss_D_real: -0.023778 Loss_D_fake 0.012858
[220/5000][90/535][22372] Loss_D: -0.035765 Loss_G: 0.034446 Loss_D_real: -0.032790 Loss_D_fake 0.002974
[220/5000][95/535][22373] Loss_D: -0.034806 Loss_G: -0.010455 Loss_D_real: 0.002001 Loss_D_fake 0.036808
[220/5000][100/535][22374] Loss_D: -0.034797 Loss_G: 0.030278 Loss_D_real: -0.035476 Loss_D_fake -0.000679
[220/5000][105/535][22375] Loss_D: -0.036326 Loss_G: 0.012468 Loss_D_real: -0.018494 Loss_D_fake 0.017833
[220/5000][110/535][22376] Loss_D: -0.036910 Loss_G: 0.039779 Loss_D_real: -0.040459 Loss_D_fake -0.003549
[220/5000][115/535][22377] Loss_D: -0.034873 Loss_G: 0.022086 Loss_D_real: -0.021179 Loss_D_fake 0.013694
[220/5000][120/535][22378] Loss_D: -0.037858 Loss_G: -0.001162 Loss_D_real: -0.009609 Loss_D_fake 0.028249
[220/5000][125/535][22379] Loss_D: -0.036804 Loss_G: 0.025628 Loss_D_real: -0.032254 Loss_D_fake 0.004549
[220/5000][130/535][22380] Loss_D: -0.036578 Loss_G: 0.016289 Loss_D_real: -0.027658 Loss_D_fake 0.008921
[220/5000][135/535][22381] Loss_D: -0.037075 Loss_G: 0.004388 Loss_D_real: -0.019365 Loss_D_fake 0.017710
[220/5000][140/535][22382] Loss_D: -0.035897 Loss_G: 0.018016 Loss_D_real: -0.023965 Loss_D_fake 0.011933
[220/5000][145/535][22383] Loss_D: -0.036643 Loss_G: 0.028675 Loss_D_real: -0.031409 Loss_D_fake 0.005234
[220/5000][150/535][22384] Loss_D: -0.036005 Loss_G: 0.006814 Loss_D_real: -0.017708 Loss_D_fake 0.018296
[220/5000][155/535][22385] Loss_D: -0.037692 Loss_G: 0.026566 Loss_D_real: -0.029205 Loss_D_fake 0.008488
[220/5000][160/535][22386] Loss_D: -0.034939 Loss_G: 0.036539 Loss_D_real: -0.035605 Loss_D_fake -0.000667
[220/5000][165/535][22387] Loss_D: -0.036923 Loss_G: 0.009571 Loss_D_real: -0.021021 Loss_D_fake 0.015902
[220/5000][170/535][22388] Loss_D: -0.035676 Loss_G: 0.029111 Loss_D_real: -0.034212 Loss_D_fake 0.001464
[220/5000][175/535][22389] Loss_D: -0.035932 Loss_G: 0.017208 Loss_D_real: -0.021650 Loss_D_fake 0.014282
[220/5000][180/535][22390] Loss_D: -0.035585 Loss_G: 0.043891 Loss_D_real: -0.040457 Loss_D_fake -0.004872
[220/5000][185/535][22391] Loss_D: -0.035665 Loss_G: 0.005269 Loss_D_real: -0.017000 Loss_D_fake 0.018665
[220/5000][190/535][22392] Loss_D: -0.037351 Loss_G: 0.024747 Loss_D_real: -0.032854 Loss_D_fake 0.004497
[220/5000][195/535][22393] Loss_D: -0.037086 Loss_G: 0.015813 Loss_D_real: -0.020067 Loss_D_fake 0.017019
[220/5000][200/535][22394] Loss_D: -0.036764 Loss_G: 0.028059 Loss_D_real: -0.034476 Loss_D_fake 0.002288
[220/5000][205/535][22395] Loss_D: -0.036280 Loss_G: 0.008545 Loss_D_real: -0.020655 Loss_D_fake 0.015625
[220/5000][210/535][22396] Loss_D: -0.038485 Loss_G: 0.016592 Loss_D_real: -0.025293 Loss_D_fake 0.013192
[220/5000][215/535][22397] Loss_D: -0.034657 Loss_G: 0.044094 Loss_D_real: -0.041993 Loss_D_fake -0.007336
[220/5000][220/535][22398] Loss_D: -0.036620 Loss_G: 0.004483 Loss_D_real: -0.013183 Loss_D_fake 0.023436
[220/5000][225/535][22399] Loss_D: -0.034304 Loss_G: 0.038675 Loss_D_real: -0.033591 Loss_D_fake 0.000713
[220/5000][230/535][22400] Loss_D: -0.036021 Loss_G: -0.000675 Loss_D_real: -0.016957 Loss_D_fake 0.019063
[220/5000][235/535][22401] Loss_D: -0.036528 Loss_G: 0.030165 Loss_D_real: -0.038193 Loss_D_fake -0.001665
[220/5000][240/535][22402] Loss_D: -0.035806 Loss_G: -0.003664 Loss_D_real: -0.014242 Loss_D_fake 0.021564
[220/5000][245/535][22403] Loss_D: -0.036625 Loss_G: 0.027546 Loss_D_real: -0.027712 Loss_D_fake 0.008913
[220/5000][250/535][22404] Loss_D: -0.037183 Loss_G: 0.000372 Loss_D_real: -0.013641 Loss_D_fake 0.023542
[220/5000][255/535][22405] Loss_D: -0.038130 Loss_G: 0.026478 Loss_D_real: -0.026221 Loss_D_fake 0.011909
[220/5000][260/535][22406] Loss_D: -0.036708 Loss_G: 0.009038 Loss_D_real: -0.017615 Loss_D_fake 0.019093
[220/5000][265/535][22407] Loss_D: -0.037361 Loss_G: 0.025153 Loss_D_real: -0.032935 Loss_D_fake 0.004426
[220/5000][270/535][22408] Loss_D: -0.035358 Loss_G: 0.034880 Loss_D_real: -0.037139 Loss_D_fake -0.001781
[220/5000][275/535][22409] Loss_D: -0.037310 Loss_G: 0.014125 Loss_D_real: -0.023473 Loss_D_fake 0.013837
[220/5000][280/535][22410] Loss_D: -0.036532 Loss_G: 0.000449 Loss_D_real: -0.015784 Loss_D_fake 0.020748
[220/5000][285/535][22411] Loss_D: -0.034870 Loss_G: 0.021276 Loss_D_real: -0.022330 Loss_D_fake 0.012540
[220/5000][290/535][22412] Loss_D: -0.036308 Loss_G: 0.022396 Loss_D_real: -0.028678 Loss_D_fake 0.007631
[220/5000][295/535][22413] Loss_D: -0.036757 Loss_G: 0.015070 Loss_D_real: -0.025412 Loss_D_fake 0.011344
[220/5000][300/535][22414] Loss_D: -0.035059 Loss_G: 0.007476 Loss_D_real: -0.017061 Loss_D_fake 0.017999
[220/5000][305/535][22415] Loss_D: -0.036685 Loss_G: 0.044125 Loss_D_real: -0.039752 Loss_D_fake -0.003067
[220/5000][310/535][22416] Loss_D: -0.035135 Loss_G: -0.003325 Loss_D_real: -0.014361 Loss_D_fake 0.020774
[220/5000][315/535][22417] Loss_D: -0.035069 Loss_G: 0.022899 Loss_D_real: -0.026027 Loss_D_fake 0.009042
[220/5000][320/535][22418] Loss_D: -0.034082 Loss_G: 0.035384 Loss_D_real: -0.038074 Loss_D_fake -0.003992
[220/5000][325/535][22419] Loss_D: -0.036471 Loss_G: 0.015360 Loss_D_real: -0.027339 Loss_D_fake 0.009132
[220/5000][330/535][22420] Loss_D: -0.036754 Loss_G: -0.011100 Loss_D_real: -0.007949 Loss_D_fake 0.028806
[220/5000][335/535][22421] Loss_D: -0.035983 Loss_G: 0.029925 Loss_D_real: -0.035687 Loss_D_fake 0.000297
[220/5000][340/535][22422] Loss_D: -0.036226 Loss_G: 0.011204 Loss_D_real: -0.012961 Loss_D_fake 0.023264
[220/5000][345/535][22423] Loss_D: -0.035353 Loss_G: 0.021788 Loss_D_real: -0.027573 Loss_D_fake 0.007780
[220/5000][350/535][22424] Loss_D: -0.035276 Loss_G: 0.008566 Loss_D_real: -0.015837 Loss_D_fake 0.019439
[220/5000][355/535][22425] Loss_D: -0.036924 Loss_G: 0.023621 Loss_D_real: -0.023450 Loss_D_fake 0.013474
[220/5000][360/535][22426] Loss_D: -0.036648 Loss_G: 0.010916 Loss_D_real: -0.020261 Loss_D_fake 0.016387
[220/5000][365/535][22427] Loss_D: -0.037258 Loss_G: 0.018843 Loss_D_real: -0.021926 Loss_D_fake 0.015332
[220/5000][370/535][22428] Loss_D: -0.035020 Loss_G: 0.030931 Loss_D_real: -0.039760 Loss_D_fake -0.004740
[220/5000][375/535][22429] Loss_D: -0.036518 Loss_G: 0.026217 Loss_D_real: -0.022861 Loss_D_fake 0.013657
[220/5000][380/535][22430] Loss_D: -0.036881 Loss_G: 0.000383 Loss_D_real: -0.015197 Loss_D_fake 0.021684
[220/5000][385/535][22431] Loss_D: -0.033756 Loss_G: 0.031509 Loss_D_real: -0.032876 Loss_D_fake 0.000879
[220/5000][390/535][22432] Loss_D: -0.034457 Loss_G: 0.007228 Loss_D_real: -0.022903 Loss_D_fake 0.011554
[220/5000][395/535][22433] Loss_D: -0.037663 Loss_G: 0.019216 Loss_D_real: -0.031804 Loss_D_fake 0.005859
[220/5000][400/535][22434] Loss_D: -0.038210 Loss_G: 0.021734 Loss_D_real: -0.025462 Loss_D_fake 0.012748
[220/5000][405/535][22435] Loss_D: -0.036622 Loss_G: 0.038151 Loss_D_real: -0.039162 Loss_D_fake -0.002540
[220/5000][410/535][22436] Loss_D: -0.036034 Loss_G: 0.033064 Loss_D_real: -0.030673 Loss_D_fake 0.005361
[220/5000][415/535][22437] Loss_D: -0.035488 Loss_G: 0.021004 Loss_D_real: -0.021736 Loss_D_fake 0.013752
[220/5000][420/535][22438] Loss_D: -0.037518 Loss_G: 0.013627 Loss_D_real: -0.021663 Loss_D_fake 0.015855
[220/5000][425/535][22439] Loss_D: -0.035818 Loss_G: 0.033679 Loss_D_real: -0.040537 Loss_D_fake -0.004719
[220/5000][430/535][22440] Loss_D: -0.036268 Loss_G: 0.029617 Loss_D_real: -0.037796 Loss_D_fake -0.001528
[220/5000][435/535][22441] Loss_D: -0.037538 Loss_G: -0.000527 Loss_D_real: -0.016014 Loss_D_fake 0.021524
[220/5000][440/535][22442] Loss_D: -0.036452 Loss_G: 0.021091 Loss_D_real: -0.029828 Loss_D_fake 0.006624
[220/5000][445/535][22443] Loss_D: -0.035239 Loss_G: 0.009794 Loss_D_real: -0.017977 Loss_D_fake 0.017262
[220/5000][450/535][22444] Loss_D: -0.035850 Loss_G: 0.038722 Loss_D_real: -0.048073 Loss_D_fake -0.012224
[220/5000][455/535][22445] Loss_D: -0.034025 Loss_G: -0.006542 Loss_D_real: -0.003624 Loss_D_fake 0.030401
[220/5000][460/535][22446] Loss_D: -0.036074 Loss_G: 0.034585 Loss_D_real: -0.043109 Loss_D_fake -0.007035
[220/5000][465/535][22447] Loss_D: -0.036999 Loss_G: 0.031644 Loss_D_real: -0.033682 Loss_D_fake 0.003318
[220/5000][470/535][22448] Loss_D: -0.035877 Loss_G: 0.005396 Loss_D_real: -0.016542 Loss_D_fake 0.019335
[220/5000][475/535][22449] Loss_D: -0.036093 Loss_G: 0.037429 Loss_D_real: -0.047535 Loss_D_fake -0.011442
[220/5000][480/535][22450] Loss_D: -0.036267 Loss_G: 0.004620 Loss_D_real: -0.017913 Loss_D_fake 0.018354
[220/5000][485/535][22451] Loss_D: -0.035518 Loss_G: 0.018136 Loss_D_real: -0.026098 Loss_D_fake 0.009420
[220/5000][490/535][22452] Loss_D: -0.037016 Loss_G: 0.012687 Loss_D_real: -0.017701 Loss_D_fake 0.019315
[220/5000][495/535][22453] Loss_D: -0.034549 Loss_G: 0.036727 Loss_D_real: -0.037013 Loss_D_fake -0.002464
[220/5000][500/535][22454] Loss_D: -0.035971 Loss_G: 0.002301 Loss_D_real: -0.012458 Loss_D_fake 0.023512
[220/5000][505/535][22455] Loss_D: -0.035740 Loss_G: 0.005677 Loss_D_real: -0.015551 Loss_D_fake 0.020189
[220/5000][510/535][22456] Loss_D: -0.035428 Loss_G: 0.020801 Loss_D_real: -0.029908 Loss_D_fake 0.005520
[220/5000][515/535][22457] Loss_D: -0.037519 Loss_G: 0.011151 Loss_D_real: -0.022127 Loss_D_fake 0.015393
[220/5000][520/535][22458] Loss_D: -0.035686 Loss_G: -0.001482 Loss_D_real: -0.011940 Loss_D_fake 0.023746
[220/5000][525/535][22459] Loss_D: -0.035525 Loss_G: 0.028688 Loss_D_real: -0.039414 Loss_D_fake -0.003888
[220/5000][530/535][22460] Loss_D: -0.035097 Loss_G: 0.026152 Loss_D_real: -0.027733 Loss_D_fake 0.007364
[220/5000][535/535][22461] Loss_D: -0.036089 Loss_G: 0.004420 Loss_D_real: -0.016941 Loss_D_fake 0.019149
[221/5000][5/535][22462] Loss_D: -0.035572 Loss_G: 0.018154 Loss_D_real: -0.023269 Loss_D_fake 0.012303
[221/5000][10/535][22463] Loss_D: -0.036749 Loss_G: 0.018710 Loss_D_real: -0.020392 Loss_D_fake 0.016357
[221/5000][15/535][22464] Loss_D: -0.036557 Loss_G: 0.031390 Loss_D_real: -0.037815 Loss_D_fake -0.001257
[221/5000][20/535][22465] Loss_D: -0.035833 Loss_G: 0.013393 Loss_D_real: -0.021459 Loss_D_fake 0.014374
[221/5000][25/535][22466] Loss_D: -0.035226 Loss_G: 0.038967 Loss_D_real: -0.039931 Loss_D_fake -0.004706
[221/5000][30/535][22467] Loss_D: -0.035888 Loss_G: 0.030876 Loss_D_real: -0.031991 Loss_D_fake 0.003897
[221/5000][35/535][22468] Loss_D: -0.036382 Loss_G: 0.019822 Loss_D_real: -0.026464 Loss_D_fake 0.009918
[221/5000][40/535][22469] Loss_D: -0.036986 Loss_G: 0.021378 Loss_D_real: -0.034483 Loss_D_fake 0.002503
[221/5000][45/535][22470] Loss_D: -0.035390 Loss_G: 0.025299 Loss_D_real: -0.030669 Loss_D_fake 0.004721
[221/5000][50/535][22471] Loss_D: -0.036912 Loss_G: -0.006987 Loss_D_real: -0.013146 Loss_D_fake 0.023766
[221/5000][55/535][22472] Loss_D: -0.035403 Loss_G: 0.028374 Loss_D_real: -0.037283 Loss_D_fake -0.001879
[221/5000][60/535][22473] Loss_D: -0.034747 Loss_G: 0.013005 Loss_D_real: -0.022501 Loss_D_fake 0.012246
[221/5000][65/535][22474] Loss_D: -0.038325 Loss_G: -0.007734 Loss_D_real: -0.020225 Loss_D_fake 0.018100
[221/5000][70/535][22475] Loss_D: -0.035710 Loss_G: 0.034732 Loss_D_real: -0.037301 Loss_D_fake -0.001591
[221/5000][75/535][22476] Loss_D: -0.036308 Loss_G: -0.006153 Loss_D_real: -0.003484 Loss_D_fake 0.032825
[221/5000][80/535][22477] Loss_D: -0.036157 Loss_G: 0.027741 Loss_D_real: -0.027449 Loss_D_fake 0.008708
[221/5000][85/535][22478] Loss_D: -0.035367 Loss_G: -0.000022 Loss_D_real: -0.012271 Loss_D_fake 0.023096
[221/5000][90/535][22479] Loss_D: -0.035689 Loss_G: 0.020897 Loss_D_real: -0.022889 Loss_D_fake 0.012800
[221/5000][95/535][22480] Loss_D: -0.035813 Loss_G: -0.000517 Loss_D_real: -0.017556 Loss_D_fake 0.018257
[221/5000][100/535][22481] Loss_D: -0.036054 Loss_G: 0.024573 Loss_D_real: -0.039780 Loss_D_fake -0.003727
[221/5000][105/535][22482] Loss_D: -0.036488 Loss_G: -0.005810 Loss_D_real: -0.003362 Loss_D_fake 0.033127
[221/5000][110/535][22483] Loss_D: -0.036696 Loss_G: 0.009881 Loss_D_real: -0.021825 Loss_D_fake 0.014870
[221/5000][115/535][22484] Loss_D: -0.035188 Loss_G: 0.020414 Loss_D_real: -0.025108 Loss_D_fake 0.010079
[221/5000][120/535][22485] Loss_D: -0.036668 Loss_G: 0.012246 Loss_D_real: -0.017460 Loss_D_fake 0.019208
[221/5000][125/535][22486] Loss_D: -0.034650 Loss_G: 0.027177 Loss_D_real: -0.033786 Loss_D_fake 0.000864
[221/5000][130/535][22487] Loss_D: -0.034556 Loss_G: -0.009235 Loss_D_real: -0.007798 Loss_D_fake 0.026758
[221/5000][135/535][22488] Loss_D: -0.034637 Loss_G: 0.035627 Loss_D_real: -0.043118 Loss_D_fake -0.008480
[221/5000][140/535][22489] Loss_D: -0.034685 Loss_G: 0.010738 Loss_D_real: -0.012878 Loss_D_fake 0.021807
[221/5000][145/535][22490] Loss_D: -0.035902 Loss_G: -0.001138 Loss_D_real: -0.018339 Loss_D_fake 0.017563
[221/5000][150/535][22491] Loss_D: -0.037168 Loss_G: 0.036715 Loss_D_real: -0.035144 Loss_D_fake 0.002023
[221/5000][155/535][22492] Loss_D: -0.036168 Loss_G: -0.000092 Loss_D_real: -0.011863 Loss_D_fake 0.024305
[221/5000][160/535][22493] Loss_D: -0.036096 Loss_G: 0.028485 Loss_D_real: -0.025791 Loss_D_fake 0.010305
[221/5000][165/535][22494] Loss_D: -0.036406 Loss_G: 0.023196 Loss_D_real: -0.038105 Loss_D_fake -0.001700
[221/5000][170/535][22495] Loss_D: -0.037184 Loss_G: 0.027143 Loss_D_real: -0.023659 Loss_D_fake 0.013524
[221/5000][175/535][22496] Loss_D: -0.037581 Loss_G: 0.012545 Loss_D_real: -0.020401 Loss_D_fake 0.017180
[221/5000][180/535][22497] Loss_D: -0.036802 Loss_G: 0.036620 Loss_D_real: -0.038258 Loss_D_fake -0.001456
[221/5000][185/535][22498] Loss_D: -0.035997 Loss_G: -0.017716 Loss_D_real: -0.001528 Loss_D_fake 0.034469
[221/5000][190/535][22499] Loss_D: -0.035488 Loss_G: 0.035392 Loss_D_real: -0.032223 Loss_D_fake 0.003264
[221/5000][195/535][22500] Loss_D: -0.036486 Loss_G: 0.010883 Loss_D_real: -0.022326 Loss_D_fake 0.014160
[221/5000][295/535][22501] Loss_D: -0.039689 Loss_G: 0.028493 Loss_D_real: -0.027692 Loss_D_fake 0.011997
[221/5000][300/535][22502] Loss_D: -0.036519 Loss_G: 0.014203 Loss_D_real: -0.027055 Loss_D_fake 0.009465
[221/5000][305/535][22503] Loss_D: -0.033235 Loss_G: 0.019469 Loss_D_real: -0.031017 Loss_D_fake 0.002218
[221/5000][310/535][22504] Loss_D: -0.033179 Loss_G: 0.025050 Loss_D_real: -0.024084 Loss_D_fake 0.009095
[221/5000][315/535][22505] Loss_D: -0.034897 Loss_G: 0.011771 Loss_D_real: -0.027391 Loss_D_fake 0.007507
[221/5000][320/535][22506] Loss_D: -0.035729 Loss_G: 0.020082 Loss_D_real: -0.016141 Loss_D_fake 0.019588
[221/5000][325/535][22507] Loss_D: -0.035242 Loss_G: 0.017459 Loss_D_real: -0.015738 Loss_D_fake 0.019503
[221/5000][330/535][22508] Loss_D: -0.033915 Loss_G: 0.023253 Loss_D_real: -0.028710 Loss_D_fake 0.005205
[221/5000][335/535][22509] Loss_D: -0.036269 Loss_G: 0.023091 Loss_D_real: -0.025276 Loss_D_fake 0.010993
[221/5000][340/535][22510] Loss_D: -0.035367 Loss_G: 0.036276 Loss_D_real: -0.037305 Loss_D_fake -0.001938
[221/5000][345/535][22511] Loss_D: -0.036266 Loss_G: -0.009069 Loss_D_real: -0.008556 Loss_D_fake 0.027710
[221/5000][350/535][22512] Loss_D: -0.034513 Loss_G: 0.032975 Loss_D_real: -0.037402 Loss_D_fake -0.002889
[221/5000][355/535][22513] Loss_D: -0.035476 Loss_G: 0.001723 Loss_D_real: -0.019123 Loss_D_fake 0.016353
[221/5000][360/535][22514] Loss_D: -0.034713 Loss_G: 0.021294 Loss_D_real: -0.029560 Loss_D_fake 0.005153
[221/5000][365/535][22515] Loss_D: -0.035432 Loss_G: 0.030182 Loss_D_real: -0.031648 Loss_D_fake 0.003784
[221/5000][370/535][22516] Loss_D: -0.035622 Loss_G: 0.018735 Loss_D_real: -0.023087 Loss_D_fake 0.012534
[221/5000][375/535][22517] Loss_D: -0.036304 Loss_G: 0.023359 Loss_D_real: -0.037052 Loss_D_fake -0.000748
[221/5000][380/535][22518] Loss_D: -0.035323 Loss_G: -0.003390 Loss_D_real: -0.005606 Loss_D_fake 0.029717
[221/5000][385/535][22519] Loss_D: -0.035432 Loss_G: 0.029195 Loss_D_real: -0.030853 Loss_D_fake 0.004579
[221/5000][390/535][22520] Loss_D: -0.037717 Loss_G: 0.003591 Loss_D_real: -0.020394 Loss_D_fake 0.017323
[221/5000][395/535][22521] Loss_D: -0.033613 Loss_G: 0.019188 Loss_D_real: -0.034249 Loss_D_fake -0.000636
[221/5000][400/535][22522] Loss_D: -0.035347 Loss_G: -0.020674 Loss_D_real: 0.005040 Loss_D_fake 0.040387
[221/5000][405/535][22523] Loss_D: -0.035176 Loss_G: 0.029474 Loss_D_real: -0.033785 Loss_D_fake 0.001392
[221/5000][410/535][22524] Loss_D: -0.036746 Loss_G: 0.013481 Loss_D_real: -0.025206 Loss_D_fake 0.011540
[221/5000][415/535][22525] Loss_D: -0.035002 Loss_G: 0.018079 Loss_D_real: -0.023996 Loss_D_fake 0.011006
[221/5000][420/535][22526] Loss_D: -0.035579 Loss_G: 0.025432 Loss_D_real: -0.029543 Loss_D_fake 0.006036
[221/5000][425/535][22527] Loss_D: -0.036306 Loss_G: 0.030205 Loss_D_real: -0.030991 Loss_D_fake 0.005316
[221/5000][430/535][22528] Loss_D: -0.035742 Loss_G: 0.017142 Loss_D_real: -0.030284 Loss_D_fake 0.005458
[221/5000][435/535][22529] Loss_D: -0.035710 Loss_G: 0.028845 Loss_D_real: -0.030627 Loss_D_fake 0.005083
[221/5000][440/535][22530] Loss_D: -0.036152 Loss_G: 0.013128 Loss_D_real: -0.029631 Loss_D_fake 0.006521
[221/5000][445/535][22531] Loss_D: -0.036617 Loss_G: 0.026047 Loss_D_real: -0.035851 Loss_D_fake 0.000767
[221/5000][450/535][22532] Loss_D: -0.036558 Loss_G: 0.035376 Loss_D_real: -0.041874 Loss_D_fake -0.005316
[221/5000][455/535][22533] Loss_D: -0.036844 Loss_G: 0.013499 Loss_D_real: -0.013238 Loss_D_fake 0.023606
[221/5000][460/535][22534] Loss_D: -0.036983 Loss_G: 0.027907 Loss_D_real: -0.027568 Loss_D_fake 0.009415
[221/5000][465/535][22535] Loss_D: -0.034462 Loss_G: -0.012471 Loss_D_real: -0.001866 Loss_D_fake 0.032597
[221/5000][470/535][22536] Loss_D: -0.034361 Loss_G: 0.037925 Loss_D_real: -0.037543 Loss_D_fake -0.003182
[221/5000][475/535][22537] Loss_D: -0.038076 Loss_G: 0.008837 Loss_D_real: -0.021191 Loss_D_fake 0.016885
[221/5000][480/535][22538] Loss_D: -0.036340 Loss_G: 0.033494 Loss_D_real: -0.035740 Loss_D_fake 0.000601
[221/5000][485/535][22539] Loss_D: -0.035892 Loss_G: 0.000551 Loss_D_real: -0.006092 Loss_D_fake 0.029800
[221/5000][490/535][22540] Loss_D: -0.035907 Loss_G: 0.018759 Loss_D_real: -0.024980 Loss_D_fake 0.010927
[221/5000][495/535][22541] Loss_D: -0.036852 Loss_G: 0.020050 Loss_D_real: -0.025758 Loss_D_fake 0.011095
[221/5000][500/535][22542] Loss_D: -0.035466 Loss_G: -0.002949 Loss_D_real: -0.009692 Loss_D_fake 0.025774
[221/5000][505/535][22543] Loss_D: -0.036446 Loss_G: 0.034211 Loss_D_real: -0.041728 Loss_D_fake -0.005282
[221/5000][510/535][22544] Loss_D: -0.036977 Loss_G: 0.011215 Loss_D_real: -0.020204 Loss_D_fake 0.016772
[221/5000][515/535][22545] Loss_D: -0.036278 Loss_G: 0.003892 Loss_D_real: -0.013625 Loss_D_fake 0.022653
[221/5000][520/535][22546] Loss_D: -0.035812 Loss_G: 0.014520 Loss_D_real: -0.028663 Loss_D_fake 0.007149
[221/5000][525/535][22547] Loss_D: -0.035600 Loss_G: 0.018434 Loss_D_real: -0.026963 Loss_D_fake 0.008637
[221/5000][530/535][22548] Loss_D: -0.034885 Loss_G: 0.030998 Loss_D_real: -0.035454 Loss_D_fake -0.000569
[221/5000][535/535][22549] Loss_D: -0.035563 Loss_G: -0.009847 Loss_D_real: -0.017199 Loss_D_fake 0.018364
[222/5000][5/535][22550] Loss_D: -0.034573 Loss_G: 0.033346 Loss_D_real: -0.034446 Loss_D_fake 0.000128
[222/5000][10/535][22551] Loss_D: -0.035874 Loss_G: 0.007784 Loss_D_real: -0.011546 Loss_D_fake 0.024328
[222/5000][15/535][22552] Loss_D: -0.034481 Loss_G: 0.026027 Loss_D_real: -0.032061 Loss_D_fake 0.002419
[222/5000][20/535][22553] Loss_D: -0.036414 Loss_G: 0.008854 Loss_D_real: -0.019453 Loss_D_fake 0.016960
[222/5000][25/535][22554] Loss_D: -0.034542 Loss_G: 0.031662 Loss_D_real: -0.040368 Loss_D_fake -0.005826
[222/5000][30/535][22555] Loss_D: -0.036544 Loss_G: 0.019617 Loss_D_real: -0.022562 Loss_D_fake 0.013982
[222/5000][35/535][22556] Loss_D: -0.036341 Loss_G: 0.024576 Loss_D_real: -0.028014 Loss_D_fake 0.008327
[222/5000][40/535][22557] Loss_D: -0.035960 Loss_G: 0.008150 Loss_D_real: -0.015608 Loss_D_fake 0.020351
[222/5000][45/535][22558] Loss_D: -0.036483 Loss_G: 0.006440 Loss_D_real: -0.009753 Loss_D_fake 0.026730
[222/5000][50/535][22559] Loss_D: -0.035647 Loss_G: 0.044693 Loss_D_real: -0.040188 Loss_D_fake -0.004540
[222/5000][55/535][22560] Loss_D: -0.036966 Loss_G: 0.001712 Loss_D_real: -0.016071 Loss_D_fake 0.020895
[222/5000][60/535][22561] Loss_D: -0.034546 Loss_G: 0.021046 Loss_D_real: -0.022039 Loss_D_fake 0.012507
[222/5000][65/535][22562] Loss_D: -0.036094 Loss_G: 0.021014 Loss_D_real: -0.027304 Loss_D_fake 0.008790
[222/5000][70/535][22563] Loss_D: -0.035530 Loss_G: 0.013120 Loss_D_real: -0.019965 Loss_D_fake 0.015566
[222/5000][75/535][22564] Loss_D: -0.036188 Loss_G: 0.016802 Loss_D_real: -0.021353 Loss_D_fake 0.014835
[222/5000][80/535][22565] Loss_D: -0.034432 Loss_G: 0.032784 Loss_D_real: -0.034419 Loss_D_fake 0.000013
[222/5000][85/535][22566] Loss_D: -0.035537 Loss_G: 0.036362 Loss_D_real: -0.032608 Loss_D_fake 0.002930
[222/5000][90/535][22567] Loss_D: -0.035197 Loss_G: -0.003994 Loss_D_real: -0.006794 Loss_D_fake 0.028403
[222/5000][95/535][22568] Loss_D: -0.035857 Loss_G: 0.033291 Loss_D_real: -0.039771 Loss_D_fake -0.003914
[222/5000][100/535][22569] Loss_D: -0.037650 Loss_G: 0.022168 Loss_D_real: -0.023412 Loss_D_fake 0.014238
[222/5000][105/535][22570] Loss_D: -0.037312 Loss_G: 0.021873 Loss_D_real: -0.025738 Loss_D_fake 0.011574
[222/5000][110/535][22571] Loss_D: -0.037092 Loss_G: -0.006270 Loss_D_real: -0.007921 Loss_D_fake 0.029171
[222/5000][115/535][22572] Loss_D: -0.035946 Loss_G: 0.008671 Loss_D_real: -0.010409 Loss_D_fake 0.025537
[222/5000][120/535][22573] Loss_D: -0.034763 Loss_G: 0.038889 Loss_D_real: -0.033811 Loss_D_fake 0.000952
[222/5000][125/535][22574] Loss_D: -0.035641 Loss_G: 0.016309 Loss_D_real: -0.020916 Loss_D_fake 0.014725
[222/5000][130/535][22575] Loss_D: -0.036863 Loss_G: 0.041223 Loss_D_real: -0.043977 Loss_D_fake -0.007114
[222/5000][135/535][22576] Loss_D: -0.034521 Loss_G: -0.015226 Loss_D_real: 0.002782 Loss_D_fake 0.037303
[222/5000][140/535][22577] Loss_D: -0.034781 Loss_G: 0.028673 Loss_D_real: -0.037474 Loss_D_fake -0.002693
[222/5000][145/535][22578] Loss_D: -0.034879 Loss_G: -0.008641 Loss_D_real: -0.009903 Loss_D_fake 0.024976
[222/5000][150/535][22579] Loss_D: -0.036896 Loss_G: 0.020227 Loss_D_real: -0.038343 Loss_D_fake -0.001448
[222/5000][155/535][22580] Loss_D: -0.036754 Loss_G: -0.002959 Loss_D_real: -0.017990 Loss_D_fake 0.018764
[222/5000][160/535][22581] Loss_D: -0.036109 Loss_G: 0.023849 Loss_D_real: -0.034259 Loss_D_fake 0.001850
[222/5000][165/535][22582] Loss_D: -0.036476 Loss_G: -0.001610 Loss_D_real: -0.014304 Loss_D_fake 0.022172
[222/5000][170/535][22583] Loss_D: -0.036217 Loss_G: 0.031791 Loss_D_real: -0.035839 Loss_D_fake 0.000377
[222/5000][175/535][22584] Loss_D: -0.037121 Loss_G: 0.011661 Loss_D_real: -0.023145 Loss_D_fake 0.013975
[222/5000][180/535][22585] Loss_D: -0.034168 Loss_G: 0.005330 Loss_D_real: -0.018466 Loss_D_fake 0.015702
[222/5000][185/535][22586] Loss_D: -0.034630 Loss_G: 0.038635 Loss_D_real: -0.043763 Loss_D_fake -0.009133
[222/5000][190/535][22587] Loss_D: -0.035881 Loss_G: -0.000654 Loss_D_real: -0.011312 Loss_D_fake 0.024569
[222/5000][195/535][22588] Loss_D: -0.035476 Loss_G: 0.030003 Loss_D_real: -0.041897 Loss_D_fake -0.006421
[222/5000][200/535][22589] Loss_D: -0.035811 Loss_G: 0.028749 Loss_D_real: -0.032480 Loss_D_fake 0.003331
[222/5000][205/535][22590] Loss_D: -0.036346 Loss_G: 0.035251 Loss_D_real: -0.029984 Loss_D_fake 0.006363
[222/5000][210/535][22591] Loss_D: -0.036555 Loss_G: 0.009485 Loss_D_real: -0.015753 Loss_D_fake 0.020802
[222/5000][215/535][22592] Loss_D: -0.034486 Loss_G: 0.033855 Loss_D_real: -0.043028 Loss_D_fake -0.008542
[222/5000][220/535][22593] Loss_D: -0.036991 Loss_G: 0.015221 Loss_D_real: -0.019907 Loss_D_fake 0.017083
[222/5000][225/535][22594] Loss_D: -0.037266 Loss_G: 0.014573 Loss_D_real: -0.025192 Loss_D_fake 0.012073
[222/5000][230/535][22595] Loss_D: -0.035957 Loss_G: 0.009259 Loss_D_real: -0.017554 Loss_D_fake 0.018402
[222/5000][235/535][22596] Loss_D: -0.036776 Loss_G: 0.046984 Loss_D_real: -0.041777 Loss_D_fake -0.005001
[222/5000][240/535][22597] Loss_D: -0.032701 Loss_G: 0.001928 Loss_D_real: -0.001381 Loss_D_fake 0.031320
[222/5000][245/535][22598] Loss_D: -0.034364 Loss_G: 0.018451 Loss_D_real: -0.023092 Loss_D_fake 0.011272
[222/5000][250/535][22599] Loss_D: -0.036033 Loss_G: 0.007249 Loss_D_real: -0.019645 Loss_D_fake 0.016388
[222/5000][255/535][22600] Loss_D: -0.036971 Loss_G: 0.022516 Loss_D_real: -0.025742 Loss_D_fake 0.011229
[222/5000][260/535][22601] Loss_D: -0.036466 Loss_G: 0.013479 Loss_D_real: -0.021575 Loss_D_fake 0.014891
[222/5000][265/535][22602] Loss_D: -0.035145 Loss_G: 0.025519 Loss_D_real: -0.043048 Loss_D_fake -0.007903
[222/5000][270/535][22603] Loss_D: -0.036295 Loss_G: 0.004932 Loss_D_real: -0.018964 Loss_D_fake 0.017332
[222/5000][275/535][22604] Loss_D: -0.035995 Loss_G: 0.020902 Loss_D_real: -0.027243 Loss_D_fake 0.008752
[222/5000][280/535][22605] Loss_D: -0.035278 Loss_G: 0.033256 Loss_D_real: -0.034706 Loss_D_fake 0.000572
[222/5000][285/535][22606] Loss_D: -0.036930 Loss_G: 0.018906 Loss_D_real: -0.020295 Loss_D_fake 0.016636
[222/5000][290/535][22607] Loss_D: -0.035891 Loss_G: 0.035262 Loss_D_real: -0.029872 Loss_D_fake 0.006018
[222/5000][295/535][22608] Loss_D: -0.034799 Loss_G: -0.005324 Loss_D_real: -0.005328 Loss_D_fake 0.029472
[222/5000][300/535][22609] Loss_D: -0.036412 Loss_G: 0.003419 Loss_D_real: -0.021115 Loss_D_fake 0.015298
[222/5000][305/535][22610] Loss_D: -0.037962 Loss_G: 0.030260 Loss_D_real: -0.030701 Loss_D_fake 0.007261
[222/5000][310/535][22611] Loss_D: -0.035681 Loss_G: 0.001143 Loss_D_real: -0.011970 Loss_D_fake 0.023712
[222/5000][315/535][22612] Loss_D: -0.036821 Loss_G: 0.023956 Loss_D_real: -0.030247 Loss_D_fake 0.006574
[222/5000][320/535][22613] Loss_D: -0.037299 Loss_G: 0.020577 Loss_D_real: -0.027242 Loss_D_fake 0.010057
[222/5000][325/535][22614] Loss_D: -0.036845 Loss_G: 0.025527 Loss_D_real: -0.028221 Loss_D_fake 0.008624
[222/5000][330/535][22615] Loss_D: -0.036001 Loss_G: 0.027103 Loss_D_real: -0.025718 Loss_D_fake 0.010283
[222/5000][335/535][22616] Loss_D: -0.035770 Loss_G: 0.036035 Loss_D_real: -0.045800 Loss_D_fake -0.010031
[222/5000][340/535][22617] Loss_D: -0.036728 Loss_G: -0.001749 Loss_D_real: -0.009661 Loss_D_fake 0.027068
[222/5000][345/535][22618] Loss_D: -0.034948 Loss_G: 0.023595 Loss_D_real: -0.025983 Loss_D_fake 0.008965
[222/5000][350/535][22619] Loss_D: -0.035605 Loss_G: 0.020444 Loss_D_real: -0.025826 Loss_D_fake 0.009779
[222/5000][355/535][22620] Loss_D: -0.038478 Loss_G: 0.009685 Loss_D_real: -0.019073 Loss_D_fake 0.019405
[222/5000][360/535][22621] Loss_D: -0.035190 Loss_G: 0.035107 Loss_D_real: -0.036202 Loss_D_fake -0.001013
[222/5000][365/535][22622] Loss_D: -0.036244 Loss_G: 0.004719 Loss_D_real: -0.019505 Loss_D_fake 0.016739
[222/5000][370/535][22623] Loss_D: -0.034824 Loss_G: -0.009578 Loss_D_real: -0.000397 Loss_D_fake 0.034428
[222/5000][375/535][22624] Loss_D: -0.035422 Loss_G: 0.034644 Loss_D_real: -0.036583 Loss_D_fake -0.001162
[222/5000][380/535][22625] Loss_D: -0.034428 Loss_G: -0.002849 Loss_D_real: -0.007705 Loss_D_fake 0.026723
[222/5000][385/535][22626] Loss_D: -0.034067 Loss_G: 0.038004 Loss_D_real: -0.037942 Loss_D_fake -0.003875
[222/5000][390/535][22627] Loss_D: -0.035634 Loss_G: 0.026658 Loss_D_real: -0.023315 Loss_D_fake 0.012319
[222/5000][395/535][22628] Loss_D: -0.036643 Loss_G: 0.022196 Loss_D_real: -0.020270 Loss_D_fake 0.016372
[222/5000][400/535][22629] Loss_D: -0.037301 Loss_G: 0.025141 Loss_D_real: -0.034398 Loss_D_fake 0.002903
[222/5000][405/535][22630] Loss_D: -0.035800 Loss_G: 0.020519 Loss_D_real: -0.032041 Loss_D_fake 0.003760
[222/5000][410/535][22631] Loss_D: -0.038331 Loss_G: 0.027190 Loss_D_real: -0.031790 Loss_D_fake 0.006541
[222/5000][415/535][22632] Loss_D: -0.034910 Loss_G: 0.011669 Loss_D_real: -0.022210 Loss_D_fake 0.012700
[222/5000][420/535][22633] Loss_D: -0.038077 Loss_G: 0.015920 Loss_D_real: -0.025630 Loss_D_fake 0.012447
[222/5000][425/535][22634] Loss_D: -0.037057 Loss_G: 0.013568 Loss_D_real: -0.024005 Loss_D_fake 0.013052
[222/5000][430/535][22635] Loss_D: -0.035741 Loss_G: 0.040121 Loss_D_real: -0.040058 Loss_D_fake -0.004317
[222/5000][435/535][22636] Loss_D: -0.035055 Loss_G: 0.013613 Loss_D_real: -0.010832 Loss_D_fake 0.024223
[222/5000][440/535][22637] Loss_D: -0.035964 Loss_G: 0.036588 Loss_D_real: -0.039702 Loss_D_fake -0.003739
[222/5000][445/535][22638] Loss_D: -0.037619 Loss_G: 0.002483 Loss_D_real: -0.013939 Loss_D_fake 0.023681
[222/5000][450/535][22639] Loss_D: -0.037385 Loss_G: 0.007192 Loss_D_real: -0.023508 Loss_D_fake 0.013877
[222/5000][455/535][22640] Loss_D: -0.035130 Loss_G: 0.024031 Loss_D_real: -0.030838 Loss_D_fake 0.004292
[222/5000][460/535][22641] Loss_D: -0.035298 Loss_G: -0.003209 Loss_D_real: -0.009592 Loss_D_fake 0.025707
[222/5000][465/535][22642] Loss_D: -0.037230 Loss_G: 0.019829 Loss_D_real: -0.022033 Loss_D_fake 0.015196
[222/5000][470/535][22643] Loss_D: -0.036666 Loss_G: 0.010607 Loss_D_real: -0.023375 Loss_D_fake 0.013290
[222/5000][475/535][22644] Loss_D: -0.034182 Loss_G: 0.005102 Loss_D_real: -0.020673 Loss_D_fake 0.013509
[222/5000][480/535][22645] Loss_D: -0.034268 Loss_G: 0.040062 Loss_D_real: -0.041422 Loss_D_fake -0.007153
[222/5000][485/535][22646] Loss_D: -0.034330 Loss_G: -0.010423 Loss_D_real: -0.004702 Loss_D_fake 0.029628
[222/5000][490/535][22647] Loss_D: -0.034672 Loss_G: 0.018480 Loss_D_real: -0.029478 Loss_D_fake 0.005193
[222/5000][495/535][22648] Loss_D: -0.035235 Loss_G: 0.020130 Loss_D_real: -0.023719 Loss_D_fake 0.011516
[222/5000][500/535][22649] Loss_D: -0.037140 Loss_G: -0.005249 Loss_D_real: -0.010632 Loss_D_fake 0.026508
[222/5000][505/535][22650] Loss_D: -0.035869 Loss_G: 0.022107 Loss_D_real: -0.032012 Loss_D_fake 0.003856
[222/5000][510/535][22651] Loss_D: -0.036588 Loss_G: 0.009470 Loss_D_real: -0.014868 Loss_D_fake 0.021719
[222/5000][515/535][22652] Loss_D: -0.036102 Loss_G: 0.022003 Loss_D_real: -0.022684 Loss_D_fake 0.013418
[222/5000][520/535][22653] Loss_D: -0.036858 Loss_G: -0.000192 Loss_D_real: -0.010521 Loss_D_fake 0.026336
[222/5000][525/535][22654] Loss_D: -0.035294 Loss_G: 0.017301 Loss_D_real: -0.027780 Loss_D_fake 0.007514
[222/5000][530/535][22655] Loss_D: -0.037622 Loss_G: 0.031865 Loss_D_real: -0.031077 Loss_D_fake 0.006544
[222/5000][535/535][22656] Loss_D: -0.035302 Loss_G: -0.001020 Loss_D_real: -0.006726 Loss_D_fake 0.028576
[223/5000][5/535][22657] Loss_D: -0.035353 Loss_G: 0.035927 Loss_D_real: -0.034873 Loss_D_fake 0.000481
[223/5000][10/535][22658] Loss_D: -0.032800 Loss_G: -0.007306 Loss_D_real: 0.000776 Loss_D_fake 0.033575
[223/5000][15/535][22659] Loss_D: -0.035789 Loss_G: 0.032865 Loss_D_real: -0.037744 Loss_D_fake -0.001955
[223/5000][20/535][22660] Loss_D: -0.035705 Loss_G: 0.022394 Loss_D_real: -0.021562 Loss_D_fake 0.014143
[223/5000][25/535][22661] Loss_D: -0.036729 Loss_G: 0.038272 Loss_D_real: -0.037354 Loss_D_fake -0.000625
[223/5000][30/535][22662] Loss_D: -0.036978 Loss_G: 0.030505 Loss_D_real: -0.030701 Loss_D_fake 0.006277
[223/5000][35/535][22663] Loss_D: -0.036911 Loss_G: 0.026129 Loss_D_real: -0.040620 Loss_D_fake -0.003708
[223/5000][40/535][22664] Loss_D: -0.035932 Loss_G: -0.003864 Loss_D_real: -0.008461 Loss_D_fake 0.027471
[223/5000][45/535][22665] Loss_D: -0.034713 Loss_G: 0.028950 Loss_D_real: -0.030856 Loss_D_fake 0.003857
[223/5000][50/535][22666] Loss_D: -0.036358 Loss_G: -0.002892 Loss_D_real: -0.016076 Loss_D_fake 0.020281
[223/5000][55/535][22667] Loss_D: -0.035072 Loss_G: 0.027391 Loss_D_real: -0.031389 Loss_D_fake 0.003683
[223/5000][60/535][22668] Loss_D: -0.035401 Loss_G: -0.002729 Loss_D_real: -0.008236 Loss_D_fake 0.027165
[223/5000][65/535][22669] Loss_D: -0.034127 Loss_G: 0.041849 Loss_D_real: -0.036159 Loss_D_fake -0.002032
[223/5000][70/535][22670] Loss_D: -0.036512 Loss_G: 0.005076 Loss_D_real: -0.015095 Loss_D_fake 0.021418
[223/5000][75/535][22671] Loss_D: -0.036534 Loss_G: 0.032005 Loss_D_real: -0.033610 Loss_D_fake 0.002924
[223/5000][80/535][22672] Loss_D: -0.035399 Loss_G: 0.016735 Loss_D_real: -0.027111 Loss_D_fake 0.008288
[223/5000][85/535][22673] Loss_D: -0.035891 Loss_G: 0.021217 Loss_D_real: -0.032797 Loss_D_fake 0.003094
[223/5000][90/535][22674] Loss_D: -0.036416 Loss_G: 0.041040 Loss_D_real: -0.040534 Loss_D_fake -0.004118
[223/5000][95/535][22675] Loss_D: -0.037055 Loss_G: 0.013688 Loss_D_real: -0.021720 Loss_D_fake 0.015336
[223/5000][100/535][22676] Loss_D: -0.035715 Loss_G: 0.021399 Loss_D_real: -0.023896 Loss_D_fake 0.011819
[223/5000][105/535][22677] Loss_D: -0.037966 Loss_G: 0.004436 Loss_D_real: -0.015644 Loss_D_fake 0.022323
[223/5000][110/535][22678] Loss_D: -0.034737 Loss_G: 0.027149 Loss_D_real: -0.032355 Loss_D_fake 0.002382
[223/5000][115/535][22679] Loss_D: -0.036890 Loss_G: 0.026784 Loss_D_real: -0.025217 Loss_D_fake 0.011673
[223/5000][120/535][22680] Loss_D: -0.035341 Loss_G: -0.013566 Loss_D_real: -0.010177 Loss_D_fake 0.025163
[223/5000][125/535][22681] Loss_D: -0.035150 Loss_G: 0.022473 Loss_D_real: -0.027766 Loss_D_fake 0.007384
[223/5000][130/535][22682] Loss_D: -0.036272 Loss_G: 0.024632 Loss_D_real: -0.026494 Loss_D_fake 0.009778
[223/5000][135/535][22683] Loss_D: -0.036608 Loss_G: 0.018368 Loss_D_real: -0.024541 Loss_D_fake 0.012067
[223/5000][140/535][22684] Loss_D: -0.035248 Loss_G: 0.042689 Loss_D_real: -0.045849 Loss_D_fake -0.010600
[223/5000][145/535][22685] Loss_D: -0.035732 Loss_G: -0.000162 Loss_D_real: -0.012393 Loss_D_fake 0.023339
[223/5000][150/535][22686] Loss_D: -0.036878 Loss_G: 0.022506 Loss_D_real: -0.026412 Loss_D_fake 0.010466
[223/5000][155/535][22687] Loss_D: -0.036929 Loss_G: 0.029813 Loss_D_real: -0.024032 Loss_D_fake 0.012896
[223/5000][160/535][22688] Loss_D: -0.037189 Loss_G: 0.017559 Loss_D_real: -0.021740 Loss_D_fake 0.015448
[223/5000][165/535][22689] Loss_D: -0.034579 Loss_G: 0.011016 Loss_D_real: -0.025103 Loss_D_fake 0.009476
[223/5000][170/535][22690] Loss_D: -0.037458 Loss_G: 0.010024 Loss_D_real: -0.026909 Loss_D_fake 0.010549
[223/5000][175/535][22691] Loss_D: -0.035089 Loss_G: 0.037894 Loss_D_real: -0.037236 Loss_D_fake -0.002147
[223/5000][180/535][22692] Loss_D: -0.036745 Loss_G: 0.006268 Loss_D_real: -0.016159 Loss_D_fake 0.020586
[223/5000][185/535][22693] Loss_D: -0.033726 Loss_G: 0.028434 Loss_D_real: -0.035322 Loss_D_fake -0.001596
[223/5000][190/535][22694] Loss_D: -0.036747 Loss_G: -0.002357 Loss_D_real: -0.011291 Loss_D_fake 0.025456
[223/5000][195/535][22695] Loss_D: -0.036771 Loss_G: 0.032738 Loss_D_real: -0.039137 Loss_D_fake -0.002366
[223/5000][200/535][22696] Loss_D: -0.035652 Loss_G: -0.001557 Loss_D_real: -0.009431 Loss_D_fake 0.026222
[223/5000][205/535][22697] Loss_D: -0.034830 Loss_G: 0.035576 Loss_D_real: -0.040970 Loss_D_fake -0.006140
[223/5000][210/535][22698] Loss_D: -0.036135 Loss_G: 0.004390 Loss_D_real: -0.019457 Loss_D_fake 0.016678
[223/5000][215/535][22699] Loss_D: -0.033584 Loss_G: 0.033046 Loss_D_real: -0.034043 Loss_D_fake -0.000459
[223/5000][220/535][22700] Loss_D: -0.034424 Loss_G: -0.007482 Loss_D_real: -0.005753 Loss_D_fake 0.028671
[223/5000][225/535][22701] Loss_D: -0.034053 Loss_G: 0.031088 Loss_D_real: -0.033534 Loss_D_fake 0.000519
[223/5000][230/535][22702] Loss_D: -0.035527 Loss_G: 0.010240 Loss_D_real: -0.019205 Loss_D_fake 0.016322
[223/5000][235/535][22703] Loss_D: -0.034182 Loss_G: 0.031223 Loss_D_real: -0.036450 Loss_D_fake -0.002268
[223/5000][240/535][22704] Loss_D: -0.036825 Loss_G: 0.008408 Loss_D_real: -0.022471 Loss_D_fake 0.014353
[223/5000][245/535][22705] Loss_D: -0.036395 Loss_G: 0.023877 Loss_D_real: -0.026205 Loss_D_fake 0.010190
[223/5000][250/535][22706] Loss_D: -0.036392 Loss_G: 0.011666 Loss_D_real: -0.023332 Loss_D_fake 0.013060
[223/5000][255/535][22707] Loss_D: -0.034876 Loss_G: 0.037806 Loss_D_real: -0.038608 Loss_D_fake -0.003731
[223/5000][260/535][22708] Loss_D: -0.034140 Loss_G: -0.014076 Loss_D_real: -0.000928 Loss_D_fake 0.033212
[223/5000][265/535][22709] Loss_D: -0.035851 Loss_G: 0.020544 Loss_D_real: -0.029549 Loss_D_fake 0.006302
[223/5000][270/535][22710] Loss_D: -0.037000 Loss_G: 0.011891 Loss_D_real: -0.020328 Loss_D_fake 0.016672
[223/5000][275/535][22711] Loss_D: -0.038612 Loss_G: 0.008875 Loss_D_real: -0.013312 Loss_D_fake 0.025300
[223/5000][280/535][22712] Loss_D: -0.037792 Loss_G: 0.025479 Loss_D_real: -0.028260 Loss_D_fake 0.009532
[223/5000][285/535][22713] Loss_D: -0.036608 Loss_G: -0.000877 Loss_D_real: -0.005630 Loss_D_fake 0.030978
[223/5000][290/535][22714] Loss_D: -0.033898 Loss_G: 0.025650 Loss_D_real: -0.028230 Loss_D_fake 0.005668
[223/5000][295/535][22715] Loss_D: -0.036367 Loss_G: 0.035583 Loss_D_real: -0.037442 Loss_D_fake -0.001075
[223/5000][300/535][22716] Loss_D: -0.035191 Loss_G: -0.005770 Loss_D_real: -0.003352 Loss_D_fake 0.031840
[223/5000][305/535][22717] Loss_D: -0.035783 Loss_G: 0.030649 Loss_D_real: -0.038841 Loss_D_fake -0.003059
[223/5000][310/535][22718] Loss_D: -0.037136 Loss_G: 0.018391 Loss_D_real: -0.023824 Loss_D_fake 0.013312
[223/5000][315/535][22719] Loss_D: -0.036356 Loss_G: 0.017793 Loss_D_real: -0.029236 Loss_D_fake 0.007119
[223/5000][320/535][22720] Loss_D: -0.036270 Loss_G: 0.023748 Loss_D_real: -0.032852 Loss_D_fake 0.003419
[223/5000][325/535][22721] Loss_D: -0.037583 Loss_G: -0.000789 Loss_D_real: -0.012540 Loss_D_fake 0.025043
[223/5000][330/535][22722] Loss_D: -0.035099 Loss_G: -0.001340 Loss_D_real: -0.007855 Loss_D_fake 0.027244
[223/5000][335/535][22723] Loss_D: -0.035788 Loss_G: 0.033245 Loss_D_real: -0.037386 Loss_D_fake -0.001599
[223/5000][340/535][22724] Loss_D: -0.036151 Loss_G: 0.002803 Loss_D_real: -0.015687 Loss_D_fake 0.020465
[223/5000][345/535][22725] Loss_D: -0.035163 Loss_G: 0.019050 Loss_D_real: -0.026374 Loss_D_fake 0.008789
[223/5000][350/535][22726] Loss_D: -0.034645 Loss_G: 0.021798 Loss_D_real: -0.028216 Loss_D_fake 0.006429
[223/5000][355/535][22727] Loss_D: -0.035895 Loss_G: 0.003024 Loss_D_real: -0.012832 Loss_D_fake 0.023063
[223/5000][360/535][22728] Loss_D: -0.037288 Loss_G: 0.029989 Loss_D_real: -0.030528 Loss_D_fake 0.006761
[223/5000][365/535][22729] Loss_D: -0.035334 Loss_G: -0.010510 Loss_D_real: -0.006822 Loss_D_fake 0.028513
[223/5000][370/535][22730] Loss_D: -0.036405 Loss_G: 0.022854 Loss_D_real: -0.035695 Loss_D_fake 0.000710
[223/5000][375/535][22731] Loss_D: -0.037215 Loss_G: 0.019444 Loss_D_real: -0.022153 Loss_D_fake 0.015062
[223/5000][380/535][22732] Loss_D: -0.036592 Loss_G: 0.019773 Loss_D_real: -0.033400 Loss_D_fake 0.003192
[223/5000][385/535][22733] Loss_D: -0.035267 Loss_G: 0.037457 Loss_D_real: -0.035197 Loss_D_fake 0.000070
[223/5000][390/535][22734] Loss_D: -0.036665 Loss_G: 0.016898 Loss_D_real: -0.022222 Loss_D_fake 0.014444
[223/5000][395/535][22735] Loss_D: -0.036704 Loss_G: 0.007798 Loss_D_real: -0.013842 Loss_D_fake 0.022862
[223/5000][400/535][22736] Loss_D: -0.032462 Loss_G: 0.043794 Loss_D_real: -0.048446 Loss_D_fake -0.015983
[223/5000][405/535][22737] Loss_D: -0.035470 Loss_G: 0.000861 Loss_D_real: -0.005582 Loss_D_fake 0.029888
[223/5000][410/535][22738] Loss_D: -0.034397 Loss_G: 0.032918 Loss_D_real: -0.033303 Loss_D_fake 0.001095
[223/5000][415/535][22739] Loss_D: -0.035784 Loss_G: 0.015823 Loss_D_real: -0.019608 Loss_D_fake 0.016176
[223/5000][420/535][22740] Loss_D: -0.037333 Loss_G: 0.014237 Loss_D_real: -0.022326 Loss_D_fake 0.015007
[223/5000][425/535][22741] Loss_D: -0.036077 Loss_G: 0.026621 Loss_D_real: -0.033376 Loss_D_fake 0.002701
[223/5000][430/535][22742] Loss_D: -0.036039 Loss_G: 0.019856 Loss_D_real: -0.026350 Loss_D_fake 0.009689
[223/5000][435/535][22743] Loss_D: -0.035743 Loss_G: 0.008974 Loss_D_real: -0.017218 Loss_D_fake 0.018525
[223/5000][440/535][22744] Loss_D: -0.036666 Loss_G: 0.030978 Loss_D_real: -0.035145 Loss_D_fake 0.001520
[223/5000][445/535][22745] Loss_D: -0.037320 Loss_G: 0.023258 Loss_D_real: -0.024466 Loss_D_fake 0.012854
[223/5000][450/535][22746] Loss_D: -0.036357 Loss_G: -0.008110 Loss_D_real: -0.001610 Loss_D_fake 0.034747
[223/5000][455/535][22747] Loss_D: -0.035880 Loss_G: 0.021877 Loss_D_real: -0.026935 Loss_D_fake 0.008944
[223/5000][460/535][22748] Loss_D: -0.036578 Loss_G: 0.010881 Loss_D_real: -0.020549 Loss_D_fake 0.016028
[223/5000][465/535][22749] Loss_D: -0.034402 Loss_G: -0.003246 Loss_D_real: -0.004759 Loss_D_fake 0.029643
[223/5000][470/535][22750] Loss_D: -0.036243 Loss_G: 0.031241 Loss_D_real: -0.033607 Loss_D_fake 0.002636
[223/5000][475/535][22751] Loss_D: -0.034748 Loss_G: 0.039326 Loss_D_real: -0.036110 Loss_D_fake -0.001361
[223/5000][480/535][22752] Loss_D: -0.035508 Loss_G: 0.029239 Loss_D_real: -0.027928 Loss_D_fake 0.007580
[223/5000][485/535][22753] Loss_D: -0.036171 Loss_G: 0.013371 Loss_D_real: -0.020380 Loss_D_fake 0.015791
[223/5000][490/535][22754] Loss_D: -0.034936 Loss_G: 0.037578 Loss_D_real: -0.040201 Loss_D_fake -0.005264
[223/5000][495/535][22755] Loss_D: -0.036171 Loss_G: 0.006355 Loss_D_real: -0.014368 Loss_D_fake 0.021804
[223/5000][500/535][22756] Loss_D: -0.034214 Loss_G: 0.035340 Loss_D_real: -0.040804 Loss_D_fake -0.006590
[223/5000][505/535][22757] Loss_D: -0.037314 Loss_G: 0.016829 Loss_D_real: -0.021140 Loss_D_fake 0.016175
[223/5000][510/535][22758] Loss_D: -0.034070 Loss_G: 0.042104 Loss_D_real: -0.039901 Loss_D_fake -0.005832
[223/5000][515/535][22759] Loss_D: -0.035080 Loss_G: -0.009542 Loss_D_real: -0.000824 Loss_D_fake 0.034256
[223/5000][520/535][22760] Loss_D: -0.034911 Loss_G: 0.030922 Loss_D_real: -0.036273 Loss_D_fake -0.001363
[223/5000][525/535][22761] Loss_D: -0.035604 Loss_G: 0.005938 Loss_D_real: -0.019753 Loss_D_fake 0.015851
[223/5000][530/535][22762] Loss_D: -0.036323 Loss_G: 0.020886 Loss_D_real: -0.029609 Loss_D_fake 0.006713
[223/5000][535/535][22763] Loss_D: -0.031693 Loss_G: -0.001061 Loss_D_real: -0.020956 Loss_D_fake 0.010737
[224/5000][5/535][22764] Loss_D: -0.034788 Loss_G: 0.000584 Loss_D_real: -0.010507 Loss_D_fake 0.024281
[224/5000][10/535][22765] Loss_D: -0.034365 Loss_G: 0.032151 Loss_D_real: -0.035244 Loss_D_fake -0.000880
[224/5000][15/535][22766] Loss_D: -0.036178 Loss_G: 0.014088 Loss_D_real: -0.020916 Loss_D_fake 0.015262
[224/5000][20/535][22767] Loss_D: -0.037808 Loss_G: 0.021522 Loss_D_real: -0.021262 Loss_D_fake 0.016545
[224/5000][25/535][22768] Loss_D: -0.036985 Loss_G: 0.009671 Loss_D_real: -0.015375 Loss_D_fake 0.021609
[224/5000][30/535][22769] Loss_D: -0.034775 Loss_G: 0.046738 Loss_D_real: -0.043785 Loss_D_fake -0.009011
[224/5000][35/535][22770] Loss_D: -0.036577 Loss_G: -0.003501 Loss_D_real: -0.004781 Loss_D_fake 0.031796
[224/5000][40/535][22771] Loss_D: -0.035106 Loss_G: 0.020523 Loss_D_real: -0.021600 Loss_D_fake 0.013506
[224/5000][45/535][22772] Loss_D: -0.035363 Loss_G: -0.003160 Loss_D_real: -0.014569 Loss_D_fake 0.020793
[224/5000][50/535][22773] Loss_D: -0.036956 Loss_G: 0.019845 Loss_D_real: -0.023258 Loss_D_fake 0.013698
[224/5000][55/535][22774] Loss_D: -0.037759 Loss_G: 0.020845 Loss_D_real: -0.021437 Loss_D_fake 0.016322
[224/5000][60/535][22775] Loss_D: -0.034860 Loss_G: 0.032662 Loss_D_real: -0.040471 Loss_D_fake -0.005611
[224/5000][65/535][22776] Loss_D: -0.035492 Loss_G: -0.003666 Loss_D_real: -0.012080 Loss_D_fake 0.023412
[224/5000][70/535][22777] Loss_D: -0.037370 Loss_G: 0.024119 Loss_D_real: -0.034533 Loss_D_fake 0.002837
[224/5000][75/535][22778] Loss_D: -0.035707 Loss_G: 0.039147 Loss_D_real: -0.038899 Loss_D_fake -0.003192
[224/5000][80/535][22779] Loss_D: -0.037122 Loss_G: 0.007585 Loss_D_real: -0.022017 Loss_D_fake 0.015105
[224/5000][85/535][22780] Loss_D: -0.036641 Loss_G: 0.030572 Loss_D_real: -0.030086 Loss_D_fake 0.006555
[224/5000][90/535][22781] Loss_D: -0.034354 Loss_G: -0.007079 Loss_D_real: -0.005626 Loss_D_fake 0.028728
[224/5000][95/535][22782] Loss_D: -0.034437 Loss_G: 0.021778 Loss_D_real: -0.028498 Loss_D_fake 0.005939
[224/5000][100/535][22783] Loss_D: -0.035864 Loss_G: 0.004528 Loss_D_real: -0.017880 Loss_D_fake 0.017983
[224/5000][105/535][22784] Loss_D: -0.035022 Loss_G: 0.031137 Loss_D_real: -0.034536 Loss_D_fake 0.000486
[224/5000][110/535][22785] Loss_D: -0.037677 Loss_G: 0.026001 Loss_D_real: -0.032821 Loss_D_fake 0.004856
[224/5000][115/535][22786] Loss_D: -0.035494 Loss_G: -0.014451 Loss_D_real: -0.007047 Loss_D_fake 0.028447
[224/5000][120/535][22787] Loss_D: -0.035327 Loss_G: 0.033445 Loss_D_real: -0.039799 Loss_D_fake -0.004472
[224/5000][125/535][22788] Loss_D: -0.036024 Loss_G: 0.020805 Loss_D_real: -0.025937 Loss_D_fake 0.010087
[224/5000][130/535][22789] Loss_D: -0.037210 Loss_G: 0.007296 Loss_D_real: -0.021975 Loss_D_fake 0.015235
[224/5000][135/535][22790] Loss_D: -0.035209 Loss_G: 0.018826 Loss_D_real: -0.026567 Loss_D_fake 0.008641
[224/5000][140/535][22791] Loss_D: -0.037266 Loss_G: 0.039481 Loss_D_real: -0.037872 Loss_D_fake -0.000606
[224/5000][145/535][22792] Loss_D: -0.035721 Loss_G: 0.012471 Loss_D_real: -0.012768 Loss_D_fake 0.022954
[224/5000][150/535][22793] Loss_D: -0.034654 Loss_G: 0.014648 Loss_D_real: -0.021964 Loss_D_fake 0.012690
[224/5000][155/535][22794] Loss_D: -0.036987 Loss_G: 0.006792 Loss_D_real: -0.011193 Loss_D_fake 0.025794
[224/5000][160/535][22795] Loss_D: -0.035675 Loss_G: 0.028961 Loss_D_real: -0.036308 Loss_D_fake -0.000633
[224/5000][165/535][22796] Loss_D: -0.034904 Loss_G: -0.006478 Loss_D_real: -0.001553 Loss_D_fake 0.033351
[224/5000][170/535][22797] Loss_D: -0.036832 Loss_G: 0.017425 Loss_D_real: -0.023379 Loss_D_fake 0.013453
[224/5000][175/535][22798] Loss_D: -0.037657 Loss_G: 0.017029 Loss_D_real: -0.027282 Loss_D_fake 0.010376
[224/5000][180/535][22799] Loss_D: -0.035408 Loss_G: -0.002592 Loss_D_real: -0.014032 Loss_D_fake 0.021376
[224/5000][185/535][22800] Loss_D: -0.035487 Loss_G: 0.029585 Loss_D_real: -0.037210 Loss_D_fake -0.001723
[224/5000][190/535][22801] Loss_D: -0.035749 Loss_G: -0.009524 Loss_D_real: -0.004104 Loss_D_fake 0.031645
[224/5000][195/535][22802] Loss_D: -0.035278 Loss_G: 0.020995 Loss_D_real: -0.030027 Loss_D_fake 0.005251
[224/5000][200/535][22803] Loss_D: -0.034312 Loss_G: 0.045367 Loss_D_real: -0.040150 Loss_D_fake -0.005839
[224/5000][205/535][22804] Loss_D: -0.035134 Loss_G: -0.007420 Loss_D_real: -0.002715 Loss_D_fake 0.032419
[224/5000][210/535][22805] Loss_D: -0.034822 Loss_G: 0.030218 Loss_D_real: -0.035225 Loss_D_fake -0.000402
[224/5000][215/535][22806] Loss_D: -0.035837 Loss_G: 0.013656 Loss_D_real: -0.015617 Loss_D_fake 0.020220
[224/5000][220/535][22807] Loss_D: -0.035277 Loss_G: 0.030190 Loss_D_real: -0.039829 Loss_D_fake -0.004552
[224/5000][225/535][22808] Loss_D: -0.036353 Loss_G: 0.016955 Loss_D_real: -0.024653 Loss_D_fake 0.011700
[224/5000][230/535][22809] Loss_D: -0.036658 Loss_G: 0.011389 Loss_D_real: -0.018658 Loss_D_fake 0.018000
[224/5000][235/535][22810] Loss_D: -0.037028 Loss_G: 0.022742 Loss_D_real: -0.030049 Loss_D_fake 0.006979
[224/5000][240/535][22811] Loss_D: -0.035185 Loss_G: 0.028565 Loss_D_real: -0.032642 Loss_D_fake 0.002542
[224/5000][245/535][22812] Loss_D: -0.035726 Loss_G: 0.019516 Loss_D_real: -0.026958 Loss_D_fake 0.008768
[224/5000][250/535][22813] Loss_D: -0.035183 Loss_G: 0.003211 Loss_D_real: -0.017728 Loss_D_fake 0.017456
[224/5000][255/535][22814] Loss_D: -0.036355 Loss_G: 0.024350 Loss_D_real: -0.032465 Loss_D_fake 0.003890
[224/5000][260/535][22815] Loss_D: -0.035232 Loss_G: 0.037593 Loss_D_real: -0.033478 Loss_D_fake 0.001754
[224/5000][265/535][22816] Loss_D: -0.035587 Loss_G: -0.004703 Loss_D_real: -0.007184 Loss_D_fake 0.028403
[224/5000][270/535][22817] Loss_D: -0.036091 Loss_G: 0.032057 Loss_D_real: -0.035096 Loss_D_fake 0.000994
[224/5000][275/535][22818] Loss_D: -0.035152 Loss_G: -0.013153 Loss_D_real: -0.011364 Loss_D_fake 0.023788
[224/5000][280/535][22819] Loss_D: -0.036006 Loss_G: 0.009888 Loss_D_real: -0.021095 Loss_D_fake 0.014911
[224/5000][285/535][22820] Loss_D: -0.035595 Loss_G: 0.029600 Loss_D_real: -0.030091 Loss_D_fake 0.005504
[224/5000][290/535][22821] Loss_D: -0.035263 Loss_G: 0.012680 Loss_D_real: -0.022089 Loss_D_fake 0.013174
[224/5000][295/535][22822] Loss_D: -0.034524 Loss_G: 0.036273 Loss_D_real: -0.042372 Loss_D_fake -0.007848
[224/5000][300/535][22823] Loss_D: -0.035837 Loss_G: 0.002401 Loss_D_real: -0.004659 Loss_D_fake 0.031178
[224/5000][305/535][22824] Loss_D: -0.036190 Loss_G: 0.007699 Loss_D_real: -0.014501 Loss_D_fake 0.021689
[224/5000][310/535][22825] Loss_D: -0.036740 Loss_G: 0.020480 Loss_D_real: -0.022754 Loss_D_fake 0.013986
[224/5000][315/535][22826] Loss_D: -0.036808 Loss_G: 0.014873 Loss_D_real: -0.015208 Loss_D_fake 0.021600
[224/5000][320/535][22827] Loss_D: -0.037141 Loss_G: 0.019206 Loss_D_real: -0.014956 Loss_D_fake 0.022185
[224/5000][325/535][22828] Loss_D: -0.034998 Loss_G: 0.026022 Loss_D_real: -0.033088 Loss_D_fake 0.001910
[224/5000][330/535][22829] Loss_D: -0.037566 Loss_G: -0.007130 Loss_D_real: -0.009582 Loss_D_fake 0.027984
[224/5000][335/535][22830] Loss_D: -0.035437 Loss_G: 0.012740 Loss_D_real: -0.025446 Loss_D_fake 0.009991
[224/5000][340/535][22831] Loss_D: -0.035973 Loss_G: 0.013242 Loss_D_real: -0.029560 Loss_D_fake 0.006412
[224/5000][345/535][22832] Loss_D: -0.036009 Loss_G: 0.030280 Loss_D_real: -0.039273 Loss_D_fake -0.003265
[224/5000][350/535][22833] Loss_D: -0.035344 Loss_G: -0.001587 Loss_D_real: -0.010710 Loss_D_fake 0.024634
[224/5000][355/535][22834] Loss_D: -0.035083 Loss_G: 0.030808 Loss_D_real: -0.026648 Loss_D_fake 0.008435
[224/5000][360/535][22835] Loss_D: -0.035719 Loss_G: 0.020473 Loss_D_real: -0.026473 Loss_D_fake 0.009246
[224/5000][365/535][22836] Loss_D: -0.033799 Loss_G: 0.031311 Loss_D_real: -0.033355 Loss_D_fake 0.000444
[224/5000][370/535][22837] Loss_D: -0.037271 Loss_G: 0.006995 Loss_D_real: -0.015005 Loss_D_fake 0.022266
[224/5000][375/535][22838] Loss_D: -0.034302 Loss_G: 0.041313 Loss_D_real: -0.038406 Loss_D_fake -0.004104
[224/5000][380/535][22839] Loss_D: -0.034854 Loss_G: 0.004569 Loss_D_real: -0.013089 Loss_D_fake 0.021765
[224/5000][385/535][22840] Loss_D: -0.035889 Loss_G: 0.008468 Loss_D_real: -0.023957 Loss_D_fake 0.011932
[224/5000][390/535][22841] Loss_D: -0.035332 Loss_G: 0.012870 Loss_D_real: -0.025124 Loss_D_fake 0.010207
[224/5000][395/535][22842] Loss_D: -0.035057 Loss_G: 0.031671 Loss_D_real: -0.032961 Loss_D_fake 0.002096
[224/5000][400/535][22843] Loss_D: -0.035252 Loss_G: -0.008137 Loss_D_real: -0.008483 Loss_D_fake 0.026768
[224/5000][405/535][22844] Loss_D: -0.036018 Loss_G: 0.004244 Loss_D_real: -0.016862 Loss_D_fake 0.019156
[224/5000][410/535][22845] Loss_D: -0.032817 Loss_G: 0.035260 Loss_D_real: -0.045570 Loss_D_fake -0.012754
[224/5000][415/535][22846] Loss_D: -0.036822 Loss_G: 0.022450 Loss_D_real: -0.027165 Loss_D_fake 0.009657
[224/5000][420/535][22847] Loss_D: -0.035472 Loss_G: 0.000148 Loss_D_real: -0.012930 Loss_D_fake 0.022542
[224/5000][425/535][22848] Loss_D: -0.035398 Loss_G: 0.034807 Loss_D_real: -0.033206 Loss_D_fake 0.002192
[224/5000][430/535][22849] Loss_D: -0.034144 Loss_G: -0.014118 Loss_D_real: -0.000811 Loss_D_fake 0.033334
[224/5000][435/535][22850] Loss_D: -0.035785 Loss_G: 0.038923 Loss_D_real: -0.037642 Loss_D_fake -0.001857
[224/5000][440/535][22851] Loss_D: -0.036558 Loss_G: 0.006320 Loss_D_real: -0.023856 Loss_D_fake 0.012703
[224/5000][445/535][22852] Loss_D: -0.037744 Loss_G: 0.027855 Loss_D_real: -0.031512 Loss_D_fake 0.006232
[224/5000][450/535][22853] Loss_D: -0.035418 Loss_G: 0.037688 Loss_D_real: -0.042015 Loss_D_fake -0.006596
[224/5000][455/535][22854] Loss_D: -0.034980 Loss_G: 0.006405 Loss_D_real: -0.017268 Loss_D_fake 0.017712
[224/5000][460/535][22855] Loss_D: -0.034731 Loss_G: 0.041125 Loss_D_real: -0.043391 Loss_D_fake -0.008660
[224/5000][465/535][22856] Loss_D: -0.035540 Loss_G: -0.000850 Loss_D_real: -0.016751 Loss_D_fake 0.018790
[224/5000][470/535][22857] Loss_D: -0.034231 Loss_G: 0.001656 Loss_D_real: -0.012511 Loss_D_fake 0.021720
[224/5000][475/535][22858] Loss_D: -0.034954 Loss_G: 0.022671 Loss_D_real: -0.028076 Loss_D_fake 0.006878
[224/5000][480/535][22859] Loss_D: -0.036277 Loss_G: -0.003342 Loss_D_real: -0.013416 Loss_D_fake 0.022862
[224/5000][485/535][22860] Loss_D: -0.035923 Loss_G: 0.035779 Loss_D_real: -0.040039 Loss_D_fake -0.004116
[224/5000][490/535][22861] Loss_D: -0.036309 Loss_G: -0.010970 Loss_D_real: -0.007574 Loss_D_fake 0.028735
[224/5000][495/535][22862] Loss_D: -0.035773 Loss_G: 0.023590 Loss_D_real: -0.029537 Loss_D_fake 0.006237
[224/5000][500/535][22863] Loss_D: -0.037720 Loss_G: 0.025208 Loss_D_real: -0.029659 Loss_D_fake 0.008062
[224/5000][505/535][22864] Loss_D: -0.035598 Loss_G: 0.003397 Loss_D_real: -0.015112 Loss_D_fake 0.020486
[224/5000][510/535][22865] Loss_D: -0.035093 Loss_G: -0.001935 Loss_D_real: -0.015059 Loss_D_fake 0.020034
[224/5000][515/535][22866] Loss_D: -0.035438 Loss_G: 0.035276 Loss_D_real: -0.033186 Loss_D_fake 0.002252
[224/5000][520/535][22867] Loss_D: -0.038316 Loss_G: -0.000328 Loss_D_real: -0.013338 Loss_D_fake 0.024977
[224/5000][525/535][22868] Loss_D: -0.036421 Loss_G: 0.018846 Loss_D_real: -0.017660 Loss_D_fake 0.018761
[224/5000][530/535][22869] Loss_D: -0.035529 Loss_G: 0.038778 Loss_D_real: -0.037831 Loss_D_fake -0.002302
[224/5000][535/535][22870] Loss_D: -0.034862 Loss_G: 0.022946 Loss_D_real: -0.007087 Loss_D_fake 0.027775
[225/5000][5/535][22871] Loss_D: -0.036113 Loss_G: 0.005936 Loss_D_real: -0.014702 Loss_D_fake 0.021411
[225/5000][10/535][22872] Loss_D: -0.036252 Loss_G: 0.013959 Loss_D_real: -0.022514 Loss_D_fake 0.013738
[225/5000][15/535][22873] Loss_D: -0.036617 Loss_G: 0.020251 Loss_D_real: -0.024514 Loss_D_fake 0.012102
[225/5000][20/535][22874] Loss_D: -0.034559 Loss_G: 0.008810 Loss_D_real: -0.022259 Loss_D_fake 0.012300
[225/5000][25/535][22875] Loss_D: -0.035219 Loss_G: 0.035131 Loss_D_real: -0.043269 Loss_D_fake -0.008050
[225/5000][30/535][22876] Loss_D: -0.036853 Loss_G: 0.026726 Loss_D_real: -0.022004 Loss_D_fake 0.014849
[225/5000][35/535][22877] Loss_D: -0.037051 Loss_G: 0.041314 Loss_D_real: -0.032298 Loss_D_fake 0.004753
[225/5000][40/535][22878] Loss_D: -0.035696 Loss_G: 0.006379 Loss_D_real: -0.014869 Loss_D_fake 0.020828
[225/5000][45/535][22879] Loss_D: -0.034687 Loss_G: 0.023502 Loss_D_real: -0.035661 Loss_D_fake -0.000973
[225/5000][50/535][22880] Loss_D: -0.034341 Loss_G: 0.021422 Loss_D_real: -0.030784 Loss_D_fake 0.003557
[225/5000][55/535][22881] Loss_D: -0.036402 Loss_G: 0.029061 Loss_D_real: -0.037869 Loss_D_fake -0.001466
[225/5000][60/535][22882] Loss_D: -0.036936 Loss_G: -0.004422 Loss_D_real: -0.003802 Loss_D_fake 0.033135
[225/5000][65/535][22883] Loss_D: -0.033853 Loss_G: 0.036796 Loss_D_real: -0.038368 Loss_D_fake -0.004515
[225/5000][70/535][22884] Loss_D: -0.036391 Loss_G: 0.010751 Loss_D_real: -0.023633 Loss_D_fake 0.012759
[225/5000][75/535][22885] Loss_D: -0.034044 Loss_G: 0.026723 Loss_D_real: -0.031078 Loss_D_fake 0.002966
[225/5000][80/535][22886] Loss_D: -0.036771 Loss_G: 0.020280 Loss_D_real: -0.025023 Loss_D_fake 0.011749
[225/5000][85/535][22887] Loss_D: -0.035801 Loss_G: 0.030593 Loss_D_real: -0.028834 Loss_D_fake 0.006967
[225/5000][90/535][22888] Loss_D: -0.035807 Loss_G: -0.002538 Loss_D_real: -0.008486 Loss_D_fake 0.027321
[225/5000][95/535][22889] Loss_D: -0.034931 Loss_G: 0.030805 Loss_D_real: -0.037129 Loss_D_fake -0.002198
[225/5000][100/535][22890] Loss_D: -0.034830 Loss_G: 0.006419 Loss_D_real: -0.023055 Loss_D_fake 0.011775
[225/5000][105/535][22891] Loss_D: -0.034337 Loss_G: 0.012384 Loss_D_real: -0.027175 Loss_D_fake 0.007162
[225/5000][110/535][22892] Loss_D: -0.033841 Loss_G: 0.039045 Loss_D_real: -0.039105 Loss_D_fake -0.005264
[225/5000][115/535][22893] Loss_D: -0.034465 Loss_G: -0.008880 Loss_D_real: -0.009118 Loss_D_fake 0.025347
[225/5000][120/535][22894] Loss_D: -0.033905 Loss_G: 0.027661 Loss_D_real: -0.041380 Loss_D_fake -0.007475
[225/5000][125/535][22895] Loss_D: -0.037681 Loss_G: 0.013297 Loss_D_real: -0.015009 Loss_D_fake 0.022672
[225/5000][130/535][22896] Loss_D: -0.036446 Loss_G: 0.004951 Loss_D_real: -0.016192 Loss_D_fake 0.020254
[225/5000][135/535][22897] Loss_D: -0.034954 Loss_G: 0.025166 Loss_D_real: -0.026577 Loss_D_fake 0.008377
[225/5000][140/535][22898] Loss_D: -0.035916 Loss_G: 0.002980 Loss_D_real: -0.007787 Loss_D_fake 0.028129
[225/5000][145/535][22899] Loss_D: -0.035397 Loss_G: 0.033551 Loss_D_real: -0.031613 Loss_D_fake 0.003784
[225/5000][150/535][22900] Loss_D: -0.035700 Loss_G: 0.007668 Loss_D_real: -0.014985 Loss_D_fake 0.020715
[225/5000][155/535][22901] Loss_D: -0.035825 Loss_G: 0.020833 Loss_D_real: -0.024471 Loss_D_fake 0.011354
[225/5000][160/535][22902] Loss_D: -0.036352 Loss_G: -0.002656 Loss_D_real: -0.010403 Loss_D_fake 0.025949
[225/5000][165/535][22903] Loss_D: -0.036504 Loss_G: 0.030321 Loss_D_real: -0.034622 Loss_D_fake 0.001882
[225/5000][170/535][22904] Loss_D: -0.035219 Loss_G: 0.005605 Loss_D_real: -0.007410 Loss_D_fake 0.027810
[225/5000][175/535][22905] Loss_D: -0.035457 Loss_G: 0.009968 Loss_D_real: -0.021550 Loss_D_fake 0.013908
[225/5000][180/535][22906] Loss_D: -0.033524 Loss_G: 0.037273 Loss_D_real: -0.038990 Loss_D_fake -0.005466
[225/5000][185/535][22907] Loss_D: -0.036553 Loss_G: -0.002331 Loss_D_real: -0.008170 Loss_D_fake 0.028383
[225/5000][190/535][22908] Loss_D: -0.036087 Loss_G: 0.006045 Loss_D_real: -0.011847 Loss_D_fake 0.024240
[225/5000][195/535][22909] Loss_D: -0.035979 Loss_G: 0.028109 Loss_D_real: -0.029763 Loss_D_fake 0.006216
[225/5000][200/535][22910] Loss_D: -0.036988 Loss_G: 0.027386 Loss_D_real: -0.031696 Loss_D_fake 0.005292
[225/5000][205/535][22911] Loss_D: -0.035705 Loss_G: -0.014026 Loss_D_real: -0.014919 Loss_D_fake 0.020787
[225/5000][210/535][22912] Loss_D: -0.034604 Loss_G: 0.036668 Loss_D_real: -0.037516 Loss_D_fake -0.002912
[225/5000][215/535][22913] Loss_D: -0.034758 Loss_G: 0.010684 Loss_D_real: -0.021308 Loss_D_fake 0.013450
[225/5000][220/535][22914] Loss_D: -0.035170 Loss_G: 0.027775 Loss_D_real: -0.026184 Loss_D_fake 0.008987
[225/5000][225/535][22915] Loss_D: -0.033062 Loss_G: -0.003957 Loss_D_real: -0.002705 Loss_D_fake 0.030357
[225/5000][230/535][22916] Loss_D: -0.033524 Loss_G: 0.037741 Loss_D_real: -0.033070 Loss_D_fake 0.000455
[225/5000][235/535][22917] Loss_D: -0.033935 Loss_G: -0.001014 Loss_D_real: -0.006209 Loss_D_fake 0.027726
[225/5000][240/535][22918] Loss_D: -0.035529 Loss_G: 0.026698 Loss_D_real: -0.022052 Loss_D_fake 0.013477
[225/5000][245/535][22919] Loss_D: -0.035619 Loss_G: 0.019858 Loss_D_real: -0.029013 Loss_D_fake 0.006606
[225/5000][250/535][22920] Loss_D: -0.035085 Loss_G: -0.012990 Loss_D_real: -0.003571 Loss_D_fake 0.031514
[225/5000][255/535][22921] Loss_D: -0.034795 Loss_G: 0.032912 Loss_D_real: -0.035774 Loss_D_fake -0.000979
[225/5000][260/535][22922] Loss_D: -0.036097 Loss_G: 0.017408 Loss_D_real: -0.020406 Loss_D_fake 0.015691
[225/5000][265/535][22923] Loss_D: -0.035703 Loss_G: 0.007504 Loss_D_real: -0.017054 Loss_D_fake 0.018649
[225/5000][270/535][22924] Loss_D: -0.035342 Loss_G: 0.023960 Loss_D_real: -0.031978 Loss_D_fake 0.003364
[225/5000][275/535][22925] Loss_D: -0.035923 Loss_G: 0.007496 Loss_D_real: -0.015011 Loss_D_fake 0.020912
[225/5000][280/535][22926] Loss_D: -0.036176 Loss_G: 0.012569 Loss_D_real: -0.028758 Loss_D_fake 0.007418
[225/5000][285/535][22927] Loss_D: -0.035502 Loss_G: 0.030726 Loss_D_real: -0.039936 Loss_D_fake -0.004434
[225/5000][290/535][22928] Loss_D: -0.038344 Loss_G: 0.011698 Loss_D_real: -0.019806 Loss_D_fake 0.018538
[225/5000][295/535][22929] Loss_D: -0.036241 Loss_G: 0.000205 Loss_D_real: -0.010784 Loss_D_fake 0.025458
[225/5000][300/535][22930] Loss_D: -0.035131 Loss_G: 0.034879 Loss_D_real: -0.035311 Loss_D_fake -0.000180
[225/5000][305/535][22931] Loss_D: -0.036688 Loss_G: 0.000241 Loss_D_real: -0.015261 Loss_D_fake 0.021427
[225/5000][310/535][22932] Loss_D: -0.034784 Loss_G: 0.019318 Loss_D_real: -0.025667 Loss_D_fake 0.009117
[225/5000][315/535][22933] Loss_D: -0.034992 Loss_G: 0.027203 Loss_D_real: -0.028155 Loss_D_fake 0.006837
[225/5000][320/535][22934] Loss_D: -0.035663 Loss_G: 0.014771 Loss_D_real: -0.016639 Loss_D_fake 0.019023
[225/5000][325/535][22935] Loss_D: -0.034916 Loss_G: 0.033341 Loss_D_real: -0.031410 Loss_D_fake 0.003507
[225/5000][330/535][22936] Loss_D: -0.037539 Loss_G: 0.007963 Loss_D_real: -0.013796 Loss_D_fake 0.023743
[225/5000][335/535][22937] Loss_D: -0.036801 Loss_G: 0.002355 Loss_D_real: -0.014100 Loss_D_fake 0.022701
[225/5000][340/535][22938] Loss_D: -0.034678 Loss_G: 0.034218 Loss_D_real: -0.037008 Loss_D_fake -0.002330
[225/5000][345/535][22939] Loss_D: -0.034409 Loss_G: 0.002452 Loss_D_real: -0.010574 Loss_D_fake 0.023835
[225/5000][350/535][22940] Loss_D: -0.036114 Loss_G: 0.030714 Loss_D_real: -0.036536 Loss_D_fake -0.000422
[225/5000][355/535][22941] Loss_D: -0.035090 Loss_G: 0.004117 Loss_D_real: -0.021106 Loss_D_fake 0.013984
[225/5000][360/535][22942] Loss_D: -0.033730 Loss_G: 0.029369 Loss_D_real: -0.023790 Loss_D_fake 0.009940
[225/5000][365/535][22943] Loss_D: -0.035470 Loss_G: 0.025087 Loss_D_real: -0.027135 Loss_D_fake 0.008336
[225/5000][370/535][22944] Loss_D: -0.036660 Loss_G: 0.029093 Loss_D_real: -0.027557 Loss_D_fake 0.009103
[225/5000][375/535][22945] Loss_D: -0.034629 Loss_G: 0.009829 Loss_D_real: -0.016888 Loss_D_fake 0.017742
[225/5000][380/535][22946] Loss_D: -0.035429 Loss_G: 0.030396 Loss_D_real: -0.030968 Loss_D_fake 0.004460
[225/5000][385/535][22947] Loss_D: -0.036293 Loss_G: 0.002988 Loss_D_real: -0.016525 Loss_D_fake 0.019768
[225/5000][390/535][22948] Loss_D: -0.036977 Loss_G: 0.021564 Loss_D_real: -0.023800 Loss_D_fake 0.013177
[225/5000][395/535][22949] Loss_D: -0.034875 Loss_G: 0.038617 Loss_D_real: -0.033124 Loss_D_fake 0.001751
[225/5000][400/535][22950] Loss_D: -0.034717 Loss_G: -0.006514 Loss_D_real: -0.009659 Loss_D_fake 0.025059
[225/5000][405/535][22951] Loss_D: -0.033594 Loss_G: 0.024868 Loss_D_real: -0.026569 Loss_D_fake 0.007025
[225/5000][410/535][22952] Loss_D: -0.035886 Loss_G: -0.004520 Loss_D_real: -0.011138 Loss_D_fake 0.024749
[225/5000][415/535][22953] Loss_D: -0.035193 Loss_G: 0.034307 Loss_D_real: -0.040370 Loss_D_fake -0.005177
[225/5000][420/535][22954] Loss_D: -0.037044 Loss_G: 0.007068 Loss_D_real: -0.022383 Loss_D_fake 0.014661
[225/5000][425/535][22955] Loss_D: -0.034915 Loss_G: 0.019177 Loss_D_real: -0.023805 Loss_D_fake 0.011110
[225/5000][430/535][22956] Loss_D: -0.036849 Loss_G: -0.004737 Loss_D_real: -0.008998 Loss_D_fake 0.027851
[225/5000][435/535][22957] Loss_D: -0.035213 Loss_G: 0.026605 Loss_D_real: -0.039542 Loss_D_fake -0.004329
[225/5000][440/535][22958] Loss_D: -0.035949 Loss_G: 0.013992 Loss_D_real: -0.022413 Loss_D_fake 0.013536
[225/5000][445/535][22959] Loss_D: -0.033727 Loss_G: 0.040161 Loss_D_real: -0.045973 Loss_D_fake -0.012246
[225/5000][450/535][22960] Loss_D: -0.035597 Loss_G: 0.010231 Loss_D_real: -0.010248 Loss_D_fake 0.025350
[225/5000][455/535][22961] Loss_D: -0.035186 Loss_G: 0.014618 Loss_D_real: -0.027260 Loss_D_fake 0.007926
[225/5000][460/535][22962] Loss_D: -0.034948 Loss_G: 0.002242 Loss_D_real: -0.015844 Loss_D_fake 0.019104
[225/5000][465/535][22963] Loss_D: -0.037356 Loss_G: 0.019273 Loss_D_real: -0.023832 Loss_D_fake 0.013523
[225/5000][470/535][22964] Loss_D: -0.034903 Loss_G: 0.035168 Loss_D_real: -0.045736 Loss_D_fake -0.010832
[225/5000][475/535][22965] Loss_D: -0.035820 Loss_G: 0.030048 Loss_D_real: -0.026021 Loss_D_fake 0.009799
[225/5000][480/535][22966] Loss_D: -0.034372 Loss_G: 0.030854 Loss_D_real: -0.040171 Loss_D_fake -0.005799
[225/5000][485/535][22967] Loss_D: -0.035984 Loss_G: 0.026748 Loss_D_real: -0.032930 Loss_D_fake 0.003053
[225/5000][490/535][22968] Loss_D: -0.035539 Loss_G: 0.021759 Loss_D_real: -0.025075 Loss_D_fake 0.010464
[225/5000][495/535][22969] Loss_D: -0.034858 Loss_G: 0.029360 Loss_D_real: -0.033755 Loss_D_fake 0.001103
[225/5000][500/535][22970] Loss_D: -0.034959 Loss_G: 0.018600 Loss_D_real: -0.024724 Loss_D_fake 0.010235
[225/5000][505/535][22971] Loss_D: -0.034973 Loss_G: -0.007362 Loss_D_real: -0.010583 Loss_D_fake 0.024390
[225/5000][510/535][22972] Loss_D: -0.033483 Loss_G: 0.040809 Loss_D_real: -0.039772 Loss_D_fake -0.006290
[225/5000][515/535][22973] Loss_D: -0.034786 Loss_G: -0.010687 Loss_D_real: -0.001523 Loss_D_fake 0.033264
[225/5000][520/535][22974] Loss_D: -0.035330 Loss_G: 0.016368 Loss_D_real: -0.027944 Loss_D_fake 0.007386
[225/5000][525/535][22975] Loss_D: -0.035490 Loss_G: 0.000564 Loss_D_real: -0.012527 Loss_D_fake 0.022963
[225/5000][530/535][22976] Loss_D: -0.036145 Loss_G: 0.028845 Loss_D_real: -0.034362 Loss_D_fake 0.001783
[225/5000][535/535][22977] Loss_D: -0.038373 Loss_G: 0.011315 Loss_D_real: -0.008702 Loss_D_fake 0.029671
[226/5000][5/535][22978] Loss_D: -0.035791 Loss_G: 0.028077 Loss_D_real: -0.025353 Loss_D_fake 0.010438
[226/5000][10/535][22979] Loss_D: -0.036180 Loss_G: 0.028188 Loss_D_real: -0.033723 Loss_D_fake 0.002457
[226/5000][15/535][22980] Loss_D: -0.035124 Loss_G: 0.036089 Loss_D_real: -0.040782 Loss_D_fake -0.005658
[226/5000][20/535][22981] Loss_D: -0.038039 Loss_G: 0.021752 Loss_D_real: -0.025680 Loss_D_fake 0.012359
[226/5000][25/535][22982] Loss_D: -0.036941 Loss_G: 0.002746 Loss_D_real: -0.019416 Loss_D_fake 0.017526
[226/5000][30/535][22983] Loss_D: -0.035797 Loss_G: 0.036302 Loss_D_real: -0.040246 Loss_D_fake -0.004449
[226/5000][35/535][22984] Loss_D: -0.037325 Loss_G: -0.002061 Loss_D_real: -0.016593 Loss_D_fake 0.020732
[226/5000][40/535][22985] Loss_D: -0.035395 Loss_G: 0.015870 Loss_D_real: -0.020360 Loss_D_fake 0.015035
[226/5000][45/535][22986] Loss_D: -0.036102 Loss_G: 0.010027 Loss_D_real: -0.024573 Loss_D_fake 0.011530
[226/5000][50/535][22987] Loss_D: -0.036478 Loss_G: 0.010497 Loss_D_real: -0.012953 Loss_D_fake 0.023524
[226/5000][55/535][22988] Loss_D: -0.037250 Loss_G: 0.019654 Loss_D_real: -0.028549 Loss_D_fake 0.008701
[226/5000][60/535][22989] Loss_D: -0.035032 Loss_G: 0.023163 Loss_D_real: -0.026307 Loss_D_fake 0.008724
[226/5000][65/535][22990] Loss_D: -0.037092 Loss_G: 0.012197 Loss_D_real: -0.025339 Loss_D_fake 0.011753
[226/5000][70/535][22991] Loss_D: -0.036632 Loss_G: 0.005946 Loss_D_real: -0.012331 Loss_D_fake 0.024301
[226/5000][75/535][22992] Loss_D: -0.036314 Loss_G: 0.023992 Loss_D_real: -0.025695 Loss_D_fake 0.010619
[226/5000][80/535][22993] Loss_D: -0.035339 Loss_G: -0.007103 Loss_D_real: -0.008507 Loss_D_fake 0.026832
[226/5000][85/535][22994] Loss_D: -0.032197 Loss_G: 0.033356 Loss_D_real: -0.037681 Loss_D_fake -0.005484
[226/5000][90/535][22995] Loss_D: -0.034782 Loss_G: 0.002501 Loss_D_real: -0.005983 Loss_D_fake 0.028799
[226/5000][95/535][22996] Loss_D: -0.035821 Loss_G: 0.007342 Loss_D_real: -0.018686 Loss_D_fake 0.017134
[226/5000][100/535][22997] Loss_D: -0.035351 Loss_G: 0.019497 Loss_D_real: -0.030006 Loss_D_fake 0.005345
[226/5000][105/535][22998] Loss_D: -0.035961 Loss_G: 0.022149 Loss_D_real: -0.029736 Loss_D_fake 0.006225
[226/5000][110/535][22999] Loss_D: -0.037050 Loss_G: 0.017415 Loss_D_real: -0.022202 Loss_D_fake 0.014847
[226/5000][115/535][23000] Loss_D: -0.035335 Loss_G: 0.005902 Loss_D_real: -0.017854 Loss_D_fake 0.017482
[226/5000][215/535][23001] Loss_D: -0.038627 Loss_G: 0.011084 Loss_D_real: -0.023011 Loss_D_fake 0.015616
[226/5000][220/535][23002] Loss_D: -0.038606 Loss_G: 0.019990 Loss_D_real: -0.021013 Loss_D_fake 0.017593
[226/5000][225/535][23003] Loss_D: -0.033101 Loss_G: 0.001826 Loss_D_real: -0.020736 Loss_D_fake 0.012365
[226/5000][230/535][23004] Loss_D: -0.034407 Loss_G: 0.024267 Loss_D_real: -0.017920 Loss_D_fake 0.016487
[226/5000][235/535][23005] Loss_D: -0.033591 Loss_G: 0.012902 Loss_D_real: -0.022388 Loss_D_fake 0.011203
[226/5000][240/535][23006] Loss_D: -0.034648 Loss_G: 0.011839 Loss_D_real: -0.028500 Loss_D_fake 0.006148
[226/5000][245/535][23007] Loss_D: -0.033582 Loss_G: 0.013435 Loss_D_real: -0.018145 Loss_D_fake 0.015437
[226/5000][250/535][23008] Loss_D: -0.033606 Loss_G: -0.001488 Loss_D_real: -0.014630 Loss_D_fake 0.018977
[226/5000][255/535][23009] Loss_D: -0.035315 Loss_G: 0.017844 Loss_D_real: -0.027921 Loss_D_fake 0.007394
[226/5000][260/535][23010] Loss_D: -0.036136 Loss_G: 0.021730 Loss_D_real: -0.026700 Loss_D_fake 0.009435
[226/5000][265/535][23011] Loss_D: -0.035466 Loss_G: 0.013514 Loss_D_real: -0.023041 Loss_D_fake 0.012425
[226/5000][270/535][23012] Loss_D: -0.031429 Loss_G: 0.038273 Loss_D_real: -0.043459 Loss_D_fake -0.012031
[226/5000][275/535][23013] Loss_D: -0.034836 Loss_G: 0.003211 Loss_D_real: -0.019122 Loss_D_fake 0.015714
[226/5000][280/535][23014] Loss_D: -0.035874 Loss_G: 0.035104 Loss_D_real: -0.039454 Loss_D_fake -0.003580
[226/5000][285/535][23015] Loss_D: -0.036842 Loss_G: 0.010256 Loss_D_real: -0.014029 Loss_D_fake 0.022813
[226/5000][290/535][23016] Loss_D: -0.035046 Loss_G: 0.014572 Loss_D_real: -0.024433 Loss_D_fake 0.010613
[226/5000][295/535][23017] Loss_D: -0.035296 Loss_G: 0.001584 Loss_D_real: -0.011294 Loss_D_fake 0.024001
[226/5000][300/535][23018] Loss_D: -0.035321 Loss_G: 0.026457 Loss_D_real: -0.027659 Loss_D_fake 0.007662
[226/5000][305/535][23019] Loss_D: -0.036017 Loss_G: 0.001557 Loss_D_real: -0.016470 Loss_D_fake 0.019547
[226/5000][310/535][23020] Loss_D: -0.035571 Loss_G: 0.012931 Loss_D_real: -0.026591 Loss_D_fake 0.008981
[226/5000][315/535][23021] Loss_D: -0.035911 Loss_G: 0.009674 Loss_D_real: -0.019403 Loss_D_fake 0.016509
[226/5000][320/535][23022] Loss_D: -0.034616 Loss_G: 0.029928 Loss_D_real: -0.030422 Loss_D_fake 0.004195
[226/5000][325/535][23023] Loss_D: -0.035971 Loss_G: 0.004786 Loss_D_real: -0.023933 Loss_D_fake 0.012038
[226/5000][330/535][23024] Loss_D: -0.035119 Loss_G: 0.031865 Loss_D_real: -0.029844 Loss_D_fake 0.005275
[226/5000][335/535][23025] Loss_D: -0.034715 Loss_G: -0.016555 Loss_D_real: 0.001404 Loss_D_fake 0.036119
[226/5000][340/535][23026] Loss_D: -0.035036 Loss_G: 0.029803 Loss_D_real: -0.027239 Loss_D_fake 0.007798
[226/5000][345/535][23027] Loss_D: -0.033886 Loss_G: 0.003258 Loss_D_real: -0.008558 Loss_D_fake 0.025328
[226/5000][350/535][23028] Loss_D: -0.035734 Loss_G: 0.025412 Loss_D_real: -0.031048 Loss_D_fake 0.004685
[226/5000][355/535][23029] Loss_D: -0.034127 Loss_G: 0.038200 Loss_D_real: -0.042360 Loss_D_fake -0.008233
[226/5000][360/535][23030] Loss_D: -0.036768 Loss_G: 0.012510 Loss_D_real: -0.015851 Loss_D_fake 0.020917
[226/5000][365/535][23031] Loss_D: -0.036371 Loss_G: 0.020677 Loss_D_real: -0.027969 Loss_D_fake 0.008401
[226/5000][370/535][23032] Loss_D: -0.035625 Loss_G: 0.029086 Loss_D_real: -0.039460 Loss_D_fake -0.003836
[226/5000][375/535][23033] Loss_D: -0.035542 Loss_G: 0.028571 Loss_D_real: -0.034131 Loss_D_fake 0.001411
[226/5000][380/535][23034] Loss_D: -0.034950 Loss_G: 0.001933 Loss_D_real: -0.015477 Loss_D_fake 0.019472
[226/5000][385/535][23035] Loss_D: -0.033800 Loss_G: 0.036194 Loss_D_real: -0.039546 Loss_D_fake -0.005746
[226/5000][390/535][23036] Loss_D: -0.036175 Loss_G: 0.005582 Loss_D_real: -0.014871 Loss_D_fake 0.021303
[226/5000][395/535][23037] Loss_D: -0.035568 Loss_G: 0.006746 Loss_D_real: -0.025449 Loss_D_fake 0.010120
[226/5000][400/535][23038] Loss_D: -0.035118 Loss_G: 0.020274 Loss_D_real: -0.028824 Loss_D_fake 0.006295
[226/5000][405/535][23039] Loss_D: -0.036287 Loss_G: 0.003816 Loss_D_real: -0.016927 Loss_D_fake 0.019360
[226/5000][410/535][23040] Loss_D: -0.035398 Loss_G: 0.036245 Loss_D_real: -0.044053 Loss_D_fake -0.008655
[226/5000][415/535][23041] Loss_D: -0.034600 Loss_G: 0.005311 Loss_D_real: -0.015828 Loss_D_fake 0.018772
[226/5000][420/535][23042] Loss_D: -0.035940 Loss_G: 0.012872 Loss_D_real: -0.018649 Loss_D_fake 0.017291
[226/5000][425/535][23043] Loss_D: -0.034591 Loss_G: 0.038812 Loss_D_real: -0.038579 Loss_D_fake -0.003988
[226/5000][430/535][23044] Loss_D: -0.036128 Loss_G: 0.004402 Loss_D_real: -0.019325 Loss_D_fake 0.016803
[226/5000][435/535][23045] Loss_D: -0.035308 Loss_G: 0.023209 Loss_D_real: -0.028293 Loss_D_fake 0.007016
[226/5000][440/535][23046] Loss_D: -0.035010 Loss_G: 0.031093 Loss_D_real: -0.030721 Loss_D_fake 0.004289
[226/5000][445/535][23047] Loss_D: -0.035368 Loss_G: 0.004005 Loss_D_real: -0.015488 Loss_D_fake 0.019880
[226/5000][450/535][23048] Loss_D: -0.035817 Loss_G: 0.028277 Loss_D_real: -0.043472 Loss_D_fake -0.007655
[226/5000][455/535][23049] Loss_D: -0.035531 Loss_G: 0.011791 Loss_D_real: -0.020605 Loss_D_fake 0.014926
[226/5000][460/535][23050] Loss_D: -0.035716 Loss_G: 0.017626 Loss_D_real: -0.026518 Loss_D_fake 0.009198
[226/5000][465/535][23051] Loss_D: -0.034020 Loss_G: 0.018728 Loss_D_real: -0.027742 Loss_D_fake 0.006279
[226/5000][470/535][23052] Loss_D: -0.036605 Loss_G: 0.014444 Loss_D_real: -0.021641 Loss_D_fake 0.014964
[226/5000][475/535][23053] Loss_D: -0.037449 Loss_G: 0.028594 Loss_D_real: -0.028326 Loss_D_fake 0.009124
[226/5000][480/535][23054] Loss_D: -0.035366 Loss_G: 0.004713 Loss_D_real: -0.023436 Loss_D_fake 0.011930
[226/5000][485/535][23055] Loss_D: -0.034797 Loss_G: 0.033655 Loss_D_real: -0.042766 Loss_D_fake -0.007969
[226/5000][490/535][23056] Loss_D: -0.035007 Loss_G: -0.008825 Loss_D_real: -0.004184 Loss_D_fake 0.030822
[226/5000][495/535][23057] Loss_D: -0.034785 Loss_G: 0.032500 Loss_D_real: -0.033163 Loss_D_fake 0.001622
[226/5000][500/535][23058] Loss_D: -0.033890 Loss_G: -0.016065 Loss_D_real: -0.001804 Loss_D_fake 0.032085
[226/5000][505/535][23059] Loss_D: -0.035270 Loss_G: 0.008665 Loss_D_real: -0.020120 Loss_D_fake 0.015150
[226/5000][510/535][23060] Loss_D: -0.035244 Loss_G: 0.024090 Loss_D_real: -0.031562 Loss_D_fake 0.003682
[226/5000][515/535][23061] Loss_D: -0.036048 Loss_G: 0.001462 Loss_D_real: -0.016956 Loss_D_fake 0.019091
[226/5000][520/535][23062] Loss_D: -0.035493 Loss_G: 0.030317 Loss_D_real: -0.025059 Loss_D_fake 0.010434
[226/5000][525/535][23063] Loss_D: -0.033990 Loss_G: -0.005023 Loss_D_real: -0.011414 Loss_D_fake 0.022576
[226/5000][530/535][23064] Loss_D: -0.034459 Loss_G: 0.035374 Loss_D_real: -0.038096 Loss_D_fake -0.003637
[226/5000][535/535][23065] Loss_D: -0.035855 Loss_G: 0.029772 Loss_D_real: -0.025975 Loss_D_fake 0.009880
[227/5000][5/535][23066] Loss_D: -0.036793 Loss_G: 0.027727 Loss_D_real: -0.035585 Loss_D_fake 0.001208
[227/5000][10/535][23067] Loss_D: -0.035624 Loss_G: 0.021368 Loss_D_real: -0.027825 Loss_D_fake 0.007799
[227/5000][15/535][23068] Loss_D: -0.035021 Loss_G: 0.029830 Loss_D_real: -0.030265 Loss_D_fake 0.004756
[227/5000][20/535][23069] Loss_D: -0.034215 Loss_G: 0.040314 Loss_D_real: -0.035060 Loss_D_fake -0.000845
[227/5000][25/535][23070] Loss_D: -0.035657 Loss_G: 0.005253 Loss_D_real: -0.010489 Loss_D_fake 0.025169
[227/5000][30/535][23071] Loss_D: -0.036683 Loss_G: 0.014231 Loss_D_real: -0.025014 Loss_D_fake 0.011670
[227/5000][35/535][23072] Loss_D: -0.036493 Loss_G: 0.022657 Loss_D_real: -0.035537 Loss_D_fake 0.000956
[227/5000][40/535][23073] Loss_D: -0.035615 Loss_G: 0.024881 Loss_D_real: -0.030659 Loss_D_fake 0.004956
[227/5000][45/535][23074] Loss_D: -0.038049 Loss_G: 0.012869 Loss_D_real: -0.018439 Loss_D_fake 0.019610
[227/5000][50/535][23075] Loss_D: -0.034492 Loss_G: 0.033280 Loss_D_real: -0.034395 Loss_D_fake 0.000097
[227/5000][55/535][23076] Loss_D: -0.036536 Loss_G: 0.013587 Loss_D_real: -0.018661 Loss_D_fake 0.017875
[227/5000][60/535][23077] Loss_D: -0.036787 Loss_G: 0.017538 Loss_D_real: -0.028567 Loss_D_fake 0.008220
[227/5000][65/535][23078] Loss_D: -0.036225 Loss_G: 0.037920 Loss_D_real: -0.042052 Loss_D_fake -0.005827
[227/5000][70/535][23079] Loss_D: -0.034382 Loss_G: 0.015758 Loss_D_real: -0.019481 Loss_D_fake 0.014901
[227/5000][75/535][23080] Loss_D: -0.036620 Loss_G: 0.001132 Loss_D_real: -0.015396 Loss_D_fake 0.021224
[227/5000][80/535][23081] Loss_D: -0.034782 Loss_G: 0.015781 Loss_D_real: -0.027516 Loss_D_fake 0.007265
[227/5000][85/535][23082] Loss_D: -0.035972 Loss_G: 0.023683 Loss_D_real: -0.025191 Loss_D_fake 0.010781
[227/5000][90/535][23083] Loss_D: -0.037428 Loss_G: 0.022856 Loss_D_real: -0.029775 Loss_D_fake 0.007652
[227/5000][95/535][23084] Loss_D: -0.035548 Loss_G: -0.004991 Loss_D_real: -0.001981 Loss_D_fake 0.033567
[227/5000][100/535][23085] Loss_D: -0.033628 Loss_G: 0.034719 Loss_D_real: -0.046768 Loss_D_fake -0.013140
[227/5000][105/535][23086] Loss_D: -0.034682 Loss_G: 0.002177 Loss_D_real: -0.009711 Loss_D_fake 0.024971
[227/5000][110/535][23087] Loss_D: -0.033385 Loss_G: 0.038967 Loss_D_real: -0.041781 Loss_D_fake -0.008395
[227/5000][115/535][23088] Loss_D: -0.036151 Loss_G: 0.015348 Loss_D_real: -0.026809 Loss_D_fake 0.009341
[227/5000][120/535][23089] Loss_D: -0.036466 Loss_G: 0.012875 Loss_D_real: -0.015981 Loss_D_fake 0.020485
[227/5000][125/535][23090] Loss_D: -0.035732 Loss_G: 0.033490 Loss_D_real: -0.035135 Loss_D_fake 0.000598
[227/5000][130/535][23091] Loss_D: -0.035391 Loss_G: 0.002138 Loss_D_real: -0.016954 Loss_D_fake 0.018437
[227/5000][135/535][23092] Loss_D: -0.036113 Loss_G: 0.025123 Loss_D_real: -0.023604 Loss_D_fake 0.012509
[227/5000][140/535][23093] Loss_D: -0.036490 Loss_G: 0.025781 Loss_D_real: -0.028395 Loss_D_fake 0.008095
[227/5000][145/535][23094] Loss_D: -0.035453 Loss_G: 0.019280 Loss_D_real: -0.029224 Loss_D_fake 0.006230
[227/5000][150/535][23095] Loss_D: -0.034559 Loss_G: -0.002537 Loss_D_real: -0.011390 Loss_D_fake 0.023168
[227/5000][155/535][23096] Loss_D: -0.035039 Loss_G: 0.035657 Loss_D_real: -0.046218 Loss_D_fake -0.011178
[227/5000][160/535][23097] Loss_D: -0.034189 Loss_G: 0.003890 Loss_D_real: -0.004768 Loss_D_fake 0.029421
[227/5000][165/535][23098] Loss_D: -0.036273 Loss_G: 0.013109 Loss_D_real: -0.024894 Loss_D_fake 0.011379
[227/5000][170/535][23099] Loss_D: -0.033768 Loss_G: 0.037752 Loss_D_real: -0.046198 Loss_D_fake -0.012430
[227/5000][175/535][23100] Loss_D: -0.035796 Loss_G: 0.006494 Loss_D_real: -0.014242 Loss_D_fake 0.021554
[227/5000][180/535][23101] Loss_D: -0.035770 Loss_G: 0.028680 Loss_D_real: -0.027849 Loss_D_fake 0.007921
[227/5000][185/535][23102] Loss_D: -0.034587 Loss_G: -0.001296 Loss_D_real: -0.007611 Loss_D_fake 0.026976
[227/5000][190/535][23103] Loss_D: -0.036685 Loss_G: 0.008720 Loss_D_real: -0.014888 Loss_D_fake 0.021797
[227/5000][195/535][23104] Loss_D: -0.036250 Loss_G: 0.032863 Loss_D_real: -0.032527 Loss_D_fake 0.003723
[227/5000][200/535][23105] Loss_D: -0.035057 Loss_G: 0.006717 Loss_D_real: -0.020700 Loss_D_fake 0.014357
[227/5000][205/535][23106] Loss_D: -0.036436 Loss_G: 0.032254 Loss_D_real: -0.035342 Loss_D_fake 0.001095
[227/5000][210/535][23107] Loss_D: -0.035630 Loss_G: 0.004987 Loss_D_real: -0.014125 Loss_D_fake 0.021505
[227/5000][215/535][23108] Loss_D: -0.035799 Loss_G: 0.033896 Loss_D_real: -0.035824 Loss_D_fake -0.000025
[227/5000][220/535][23109] Loss_D: -0.034869 Loss_G: -0.013162 Loss_D_real: 0.000032 Loss_D_fake 0.034901
[227/5000][225/535][23110] Loss_D: -0.033896 Loss_G: 0.026511 Loss_D_real: -0.036116 Loss_D_fake -0.002220
[227/5000][230/535][23111] Loss_D: -0.033540 Loss_G: -0.006642 Loss_D_real: -0.010101 Loss_D_fake 0.023439
[227/5000][235/535][23112] Loss_D: -0.035733 Loss_G: 0.031924 Loss_D_real: -0.041677 Loss_D_fake -0.005944
[227/5000][240/535][23113] Loss_D: -0.036267 Loss_G: 0.000652 Loss_D_real: -0.016561 Loss_D_fake 0.019706
[227/5000][245/535][23114] Loss_D: -0.035085 Loss_G: 0.029429 Loss_D_real: -0.032898 Loss_D_fake 0.002187
[227/5000][250/535][23115] Loss_D: -0.035230 Loss_G: -0.004449 Loss_D_real: -0.012921 Loss_D_fake 0.022309
[227/5000][255/535][23116] Loss_D: -0.036008 Loss_G: 0.033257 Loss_D_real: -0.035879 Loss_D_fake 0.000128
[227/5000][260/535][23117] Loss_D: -0.035368 Loss_G: 0.004464 Loss_D_real: -0.010735 Loss_D_fake 0.024632
[227/5000][265/535][23118] Loss_D: -0.034782 Loss_G: 0.028545 Loss_D_real: -0.034999 Loss_D_fake -0.000218
[227/5000][270/535][23119] Loss_D: -0.036282 Loss_G: 0.010343 Loss_D_real: -0.018178 Loss_D_fake 0.018104
[227/5000][275/535][23120] Loss_D: -0.035709 Loss_G: 0.029742 Loss_D_real: -0.029472 Loss_D_fake 0.006237
[227/5000][280/535][23121] Loss_D: -0.035253 Loss_G: 0.006184 Loss_D_real: -0.012304 Loss_D_fake 0.022948
[227/5000][285/535][23122] Loss_D: -0.035738 Loss_G: 0.009729 Loss_D_real: -0.020402 Loss_D_fake 0.015336
[227/5000][290/535][23123] Loss_D: -0.033959 Loss_G: -0.013299 Loss_D_real: -0.007921 Loss_D_fake 0.026038
[227/5000][295/535][23124] Loss_D: -0.034329 Loss_G: 0.017253 Loss_D_real: -0.030084 Loss_D_fake 0.004245
[227/5000][300/535][23125] Loss_D: -0.035850 Loss_G: 0.010109 Loss_D_real: -0.022048 Loss_D_fake 0.013802
[227/5000][305/535][23126] Loss_D: -0.035649 Loss_G: 0.041463 Loss_D_real: -0.040001 Loss_D_fake -0.004352
[227/5000][310/535][23127] Loss_D: -0.036798 Loss_G: 0.020488 Loss_D_real: -0.018421 Loss_D_fake 0.018378
[227/5000][315/535][23128] Loss_D: -0.035023 Loss_G: 0.024624 Loss_D_real: -0.029226 Loss_D_fake 0.005798
[227/5000][320/535][23129] Loss_D: -0.036283 Loss_G: 0.014606 Loss_D_real: -0.018006 Loss_D_fake 0.018277
[227/5000][325/535][23130] Loss_D: -0.036018 Loss_G: 0.029994 Loss_D_real: -0.032890 Loss_D_fake 0.003128
[227/5000][330/535][23131] Loss_D: -0.036669 Loss_G: 0.019556 Loss_D_real: -0.023089 Loss_D_fake 0.013580
[227/5000][335/535][23132] Loss_D: -0.036918 Loss_G: 0.025886 Loss_D_real: -0.030552 Loss_D_fake 0.006366
[227/5000][340/535][23133] Loss_D: -0.036809 Loss_G: 0.004212 Loss_D_real: -0.017453 Loss_D_fake 0.019356
[227/5000][345/535][23134] Loss_D: -0.035629 Loss_G: 0.025421 Loss_D_real: -0.040876 Loss_D_fake -0.005247
[227/5000][350/535][23135] Loss_D: -0.035585 Loss_G: 0.001099 Loss_D_real: -0.013910 Loss_D_fake 0.021675
[227/5000][355/535][23136] Loss_D: -0.036259 Loss_G: 0.030770 Loss_D_real: -0.029709 Loss_D_fake 0.006550
[227/5000][360/535][23137] Loss_D: -0.035512 Loss_G: 0.022761 Loss_D_real: -0.030539 Loss_D_fake 0.004973
[227/5000][365/535][23138] Loss_D: -0.036081 Loss_G: 0.032400 Loss_D_real: -0.034829 Loss_D_fake 0.001252
[227/5000][370/535][23139] Loss_D: -0.035724 Loss_G: 0.017227 Loss_D_real: -0.019720 Loss_D_fake 0.016004
[227/5000][375/535][23140] Loss_D: -0.035219 Loss_G: 0.028006 Loss_D_real: -0.042092 Loss_D_fake -0.006873
[227/5000][380/535][23141] Loss_D: -0.034780 Loss_G: -0.004161 Loss_D_real: -0.008363 Loss_D_fake 0.026417
[227/5000][385/535][23142] Loss_D: -0.034992 Loss_G: 0.033350 Loss_D_real: -0.032577 Loss_D_fake 0.002415
[227/5000][390/535][23143] Loss_D: -0.035177 Loss_G: 0.012800 Loss_D_real: -0.020463 Loss_D_fake 0.014714
[227/5000][395/535][23144] Loss_D: -0.035662 Loss_G: 0.012599 Loss_D_real: -0.015473 Loss_D_fake 0.020189
[227/5000][400/535][23145] Loss_D: -0.036718 Loss_G: 0.016192 Loss_D_real: -0.017967 Loss_D_fake 0.018751
[227/5000][405/535][23146] Loss_D: -0.034737 Loss_G: 0.009060 Loss_D_real: -0.011808 Loss_D_fake 0.022929
[227/5000][410/535][23147] Loss_D: -0.033582 Loss_G: 0.036841 Loss_D_real: -0.039095 Loss_D_fake -0.005513
[227/5000][415/535][23148] Loss_D: -0.035931 Loss_G: 0.018941 Loss_D_real: -0.028966 Loss_D_fake 0.006964
[227/5000][420/535][23149] Loss_D: -0.035013 Loss_G: 0.032872 Loss_D_real: -0.031953 Loss_D_fake 0.003059
[227/5000][425/535][23150] Loss_D: -0.034734 Loss_G: 0.011567 Loss_D_real: -0.019599 Loss_D_fake 0.015135
[227/5000][430/535][23151] Loss_D: -0.035872 Loss_G: 0.004890 Loss_D_real: -0.015609 Loss_D_fake 0.020263
[227/5000][435/535][23152] Loss_D: -0.035685 Loss_G: 0.039585 Loss_D_real: -0.043284 Loss_D_fake -0.007599
[227/5000][440/535][23153] Loss_D: -0.036951 Loss_G: 0.001712 Loss_D_real: -0.013731 Loss_D_fake 0.023220
[227/5000][445/535][23154] Loss_D: -0.035699 Loss_G: 0.036625 Loss_D_real: -0.026545 Loss_D_fake 0.009154
[227/5000][450/535][23155] Loss_D: -0.037213 Loss_G: 0.006944 Loss_D_real: -0.017442 Loss_D_fake 0.019771
[227/5000][455/535][23156] Loss_D: -0.036015 Loss_G: 0.036231 Loss_D_real: -0.034890 Loss_D_fake 0.001125
[227/5000][460/535][23157] Loss_D: -0.034807 Loss_G: 0.006890 Loss_D_real: -0.019456 Loss_D_fake 0.015350
[227/5000][465/535][23158] Loss_D: -0.036310 Loss_G: 0.028803 Loss_D_real: -0.042702 Loss_D_fake -0.006392
[227/5000][470/535][23159] Loss_D: -0.034550 Loss_G: 0.045435 Loss_D_real: -0.045485 Loss_D_fake -0.010935
[227/5000][475/535][23160] Loss_D: -0.035046 Loss_G: -0.004274 Loss_D_real: -0.007968 Loss_D_fake 0.027078
[227/5000][480/535][23161] Loss_D: -0.034734 Loss_G: 0.023021 Loss_D_real: -0.030355 Loss_D_fake 0.004379
[227/5000][485/535][23162] Loss_D: -0.034602 Loss_G: 0.013275 Loss_D_real: -0.023918 Loss_D_fake 0.010683
[227/5000][490/535][23163] Loss_D: -0.035352 Loss_G: 0.014066 Loss_D_real: -0.019348 Loss_D_fake 0.016004
[227/5000][495/535][23164] Loss_D: -0.034958 Loss_G: 0.003725 Loss_D_real: -0.007350 Loss_D_fake 0.027608
[227/5000][500/535][23165] Loss_D: -0.034295 Loss_G: 0.019223 Loss_D_real: -0.021189 Loss_D_fake 0.013107
[227/5000][505/535][23166] Loss_D: -0.034776 Loss_G: 0.022724 Loss_D_real: -0.029572 Loss_D_fake 0.005204
[227/5000][510/535][23167] Loss_D: -0.034809 Loss_G: 0.015401 Loss_D_real: -0.024358 Loss_D_fake 0.010452
[227/5000][515/535][23168] Loss_D: -0.034712 Loss_G: 0.030852 Loss_D_real: -0.038773 Loss_D_fake -0.004061
[227/5000][520/535][23169] Loss_D: -0.036849 Loss_G: 0.031266 Loss_D_real: -0.031767 Loss_D_fake 0.005082
[227/5000][525/535][23170] Loss_D: -0.036379 Loss_G: 0.003459 Loss_D_real: -0.008194 Loss_D_fake 0.028185
[227/5000][530/535][23171] Loss_D: -0.035997 Loss_G: 0.029305 Loss_D_real: -0.032142 Loss_D_fake 0.003855
[227/5000][535/535][23172] Loss_D: -0.032463 Loss_G: 0.008216 Loss_D_real: -0.005774 Loss_D_fake 0.026689
[228/5000][5/535][23173] Loss_D: -0.035775 Loss_G: 0.001360 Loss_D_real: -0.012039 Loss_D_fake 0.023736
[228/5000][10/535][23174] Loss_D: -0.034134 Loss_G: 0.016697 Loss_D_real: -0.030004 Loss_D_fake 0.004130
[228/5000][15/535][23175] Loss_D: -0.035323 Loss_G: 0.023137 Loss_D_real: -0.030553 Loss_D_fake 0.004770
[228/5000][20/535][23176] Loss_D: -0.035895 Loss_G: -0.008493 Loss_D_real: -0.013551 Loss_D_fake 0.022344
[228/5000][25/535][23177] Loss_D: -0.035563 Loss_G: 0.023012 Loss_D_real: -0.029335 Loss_D_fake 0.006228
[228/5000][30/535][23178] Loss_D: -0.036970 Loss_G: -0.014015 Loss_D_real: -0.006922 Loss_D_fake 0.030048
[228/5000][35/535][23179] Loss_D: -0.035035 Loss_G: 0.016214 Loss_D_real: -0.024827 Loss_D_fake 0.010208
[228/5000][40/535][23180] Loss_D: -0.034277 Loss_G: 0.030852 Loss_D_real: -0.039714 Loss_D_fake -0.005437
[228/5000][45/535][23181] Loss_D: -0.036815 Loss_G: 0.017901 Loss_D_real: -0.019835 Loss_D_fake 0.016980
[228/5000][50/535][23182] Loss_D: -0.034232 Loss_G: 0.052020 Loss_D_real: -0.045248 Loss_D_fake -0.011016
[228/5000][55/535][23183] Loss_D: -0.033926 Loss_G: -0.000824 Loss_D_real: -0.004529 Loss_D_fake 0.029397
[228/5000][60/535][23184] Loss_D: -0.034253 Loss_G: 0.016900 Loss_D_real: -0.029257 Loss_D_fake 0.004996
[228/5000][65/535][23185] Loss_D: -0.035008 Loss_G: 0.014383 Loss_D_real: -0.027444 Loss_D_fake 0.007565
[228/5000][70/535][23186] Loss_D: -0.036916 Loss_G: 0.037211 Loss_D_real: -0.031995 Loss_D_fake 0.004921
[228/5000][75/535][23187] Loss_D: -0.035927 Loss_G: 0.032027 Loss_D_real: -0.027693 Loss_D_fake 0.008234
[228/5000][80/535][23188] Loss_D: -0.037523 Loss_G: 0.001377 Loss_D_real: -0.014490 Loss_D_fake 0.023033
[228/5000][85/535][23189] Loss_D: -0.036028 Loss_G: 0.022868 Loss_D_real: -0.026038 Loss_D_fake 0.009990
[228/5000][90/535][23190] Loss_D: -0.035574 Loss_G: -0.014515 Loss_D_real: -0.001195 Loss_D_fake 0.034380
[228/5000][95/535][23191] Loss_D: -0.034769 Loss_G: 0.018940 Loss_D_real: -0.031841 Loss_D_fake 0.002928
[228/5000][100/535][23192] Loss_D: -0.035625 Loss_G: 0.033325 Loss_D_real: -0.031406 Loss_D_fake 0.004220
[228/5000][105/535][23193] Loss_D: -0.035328 Loss_G: -0.008205 Loss_D_real: -0.006678 Loss_D_fake 0.028650
[228/5000][110/535][23194] Loss_D: -0.032996 Loss_G: 0.027316 Loss_D_real: -0.033843 Loss_D_fake -0.000847
[228/5000][115/535][23195] Loss_D: -0.035439 Loss_G: 0.023414 Loss_D_real: -0.028818 Loss_D_fake 0.006622
[228/5000][120/535][23196] Loss_D: -0.035844 Loss_G: 0.017761 Loss_D_real: -0.027684 Loss_D_fake 0.008159
[228/5000][125/535][23197] Loss_D: -0.034922 Loss_G: 0.022485 Loss_D_real: -0.030691 Loss_D_fake 0.004231
[228/5000][130/535][23198] Loss_D: -0.034402 Loss_G: 0.032599 Loss_D_real: -0.026989 Loss_D_fake 0.007413
[228/5000][135/535][23199] Loss_D: -0.035699 Loss_G: -0.001240 Loss_D_real: -0.012934 Loss_D_fake 0.022765
[228/5000][140/535][23200] Loss_D: -0.035438 Loss_G: 0.029714 Loss_D_real: -0.039477 Loss_D_fake -0.004038
[228/5000][145/535][23201] Loss_D: -0.033909 Loss_G: 0.004516 Loss_D_real: -0.012017 Loss_D_fake 0.021892
[228/5000][150/535][23202] Loss_D: -0.034983 Loss_G: 0.025146 Loss_D_real: -0.033393 Loss_D_fake 0.001590
[228/5000][155/535][23203] Loss_D: -0.036189 Loss_G: 0.033404 Loss_D_real: -0.030265 Loss_D_fake 0.005923
[228/5000][160/535][23204] Loss_D: -0.035930 Loss_G: 0.009374 Loss_D_real: -0.020707 Loss_D_fake 0.015223
[228/5000][165/535][23205] Loss_D: -0.035705 Loss_G: -0.002103 Loss_D_real: -0.010985 Loss_D_fake 0.024720
[228/5000][170/535][23206] Loss_D: -0.033596 Loss_G: 0.034566 Loss_D_real: -0.031890 Loss_D_fake 0.001706
[228/5000][175/535][23207] Loss_D: -0.036354 Loss_G: -0.000062 Loss_D_real: -0.018066 Loss_D_fake 0.018288
[228/5000][180/535][23208] Loss_D: -0.035196 Loss_G: 0.029056 Loss_D_real: -0.033714 Loss_D_fake 0.001482
[228/5000][185/535][23209] Loss_D: -0.036029 Loss_G: 0.030842 Loss_D_real: -0.031057 Loss_D_fake 0.004973
[228/5000][190/535][23210] Loss_D: -0.035576 Loss_G: 0.004505 Loss_D_real: -0.014985 Loss_D_fake 0.020592
[228/5000][195/535][23211] Loss_D: -0.034614 Loss_G: 0.012357 Loss_D_real: -0.026014 Loss_D_fake 0.008601
[228/5000][200/535][23212] Loss_D: -0.034000 Loss_G: 0.025985 Loss_D_real: -0.032053 Loss_D_fake 0.001947
[228/5000][205/535][23213] Loss_D: -0.035642 Loss_G: 0.008605 Loss_D_real: -0.018562 Loss_D_fake 0.017079
[228/5000][210/535][23214] Loss_D: -0.034607 Loss_G: 0.036681 Loss_D_real: -0.036000 Loss_D_fake -0.001393
[228/5000][215/535][23215] Loss_D: -0.036471 Loss_G: 0.002077 Loss_D_real: -0.015729 Loss_D_fake 0.020743
[228/5000][220/535][23216] Loss_D: -0.035611 Loss_G: -0.008131 Loss_D_real: -0.008638 Loss_D_fake 0.026973
[228/5000][225/535][23217] Loss_D: -0.032739 Loss_G: 0.034810 Loss_D_real: -0.032976 Loss_D_fake -0.000237
[228/5000][230/535][23218] Loss_D: -0.036410 Loss_G: 0.011012 Loss_D_real: -0.023384 Loss_D_fake 0.013026
[228/5000][235/535][23219] Loss_D: -0.036152 Loss_G: 0.023293 Loss_D_real: -0.030265 Loss_D_fake 0.005887
[228/5000][240/535][23220] Loss_D: -0.037538 Loss_G: 0.012097 Loss_D_real: -0.023125 Loss_D_fake 0.014412
[228/5000][245/535][23221] Loss_D: -0.036054 Loss_G: 0.022061 Loss_D_real: -0.026081 Loss_D_fake 0.009973
[228/5000][250/535][23222] Loss_D: -0.036317 Loss_G: 0.012242 Loss_D_real: -0.020900 Loss_D_fake 0.015417
[228/5000][255/535][23223] Loss_D: -0.038146 Loss_G: 0.035191 Loss_D_real: -0.032011 Loss_D_fake 0.006135
[228/5000][260/535][23224] Loss_D: -0.033444 Loss_G: -0.000257 Loss_D_real: -0.004759 Loss_D_fake 0.028685
[228/5000][265/535][23225] Loss_D: -0.036717 Loss_G: -0.011013 Loss_D_real: -0.002989 Loss_D_fake 0.033728
[228/5000][270/535][23226] Loss_D: -0.036714 Loss_G: 0.031000 Loss_D_real: -0.035415 Loss_D_fake 0.001298
[228/5000][275/535][23227] Loss_D: -0.036728 Loss_G: -0.003165 Loss_D_real: -0.009871 Loss_D_fake 0.026857
[228/5000][280/535][23228] Loss_D: -0.035012 Loss_G: 0.027239 Loss_D_real: -0.028716 Loss_D_fake 0.006296
[228/5000][285/535][23229] Loss_D: -0.034732 Loss_G: -0.003876 Loss_D_real: 0.000077 Loss_D_fake 0.034809
[228/5000][290/535][23230] Loss_D: -0.034990 Loss_G: 0.021150 Loss_D_real: -0.029181 Loss_D_fake 0.005809
[228/5000][295/535][23231] Loss_D: -0.034863 Loss_G: 0.019078 Loss_D_real: -0.022487 Loss_D_fake 0.012376
[228/5000][300/535][23232] Loss_D: -0.035472 Loss_G: 0.013709 Loss_D_real: -0.020331 Loss_D_fake 0.015141
[228/5000][305/535][23233] Loss_D: -0.035162 Loss_G: 0.013712 Loss_D_real: -0.020860 Loss_D_fake 0.014302
[228/5000][310/535][23234] Loss_D: -0.038037 Loss_G: 0.010499 Loss_D_real: -0.025742 Loss_D_fake 0.012295
[228/5000][315/535][23235] Loss_D: -0.035063 Loss_G: 0.036553 Loss_D_real: -0.030874 Loss_D_fake 0.004189
[228/5000][320/535][23236] Loss_D: -0.034777 Loss_G: -0.021260 Loss_D_real: -0.003388 Loss_D_fake 0.031389
[228/5000][325/535][23237] Loss_D: -0.034234 Loss_G: 0.037187 Loss_D_real: -0.047009 Loss_D_fake -0.012775
[228/5000][330/535][23238] Loss_D: -0.033893 Loss_G: 0.025498 Loss_D_real: -0.026712 Loss_D_fake 0.007182
[228/5000][335/535][23239] Loss_D: -0.037072 Loss_G: 0.020148 Loss_D_real: -0.022661 Loss_D_fake 0.014411
[228/5000][340/535][23240] Loss_D: -0.034275 Loss_G: 0.020396 Loss_D_real: -0.027152 Loss_D_fake 0.007123
[228/5000][345/535][23241] Loss_D: -0.035209 Loss_G: 0.008538 Loss_D_real: -0.018415 Loss_D_fake 0.016794
[228/5000][350/535][23242] Loss_D: -0.035667 Loss_G: 0.009416 Loss_D_real: -0.019175 Loss_D_fake 0.016493
[228/5000][355/535][23243] Loss_D: -0.036394 Loss_G: 0.011854 Loss_D_real: -0.026403 Loss_D_fake 0.009991
[228/5000][360/535][23244] Loss_D: -0.033649 Loss_G: 0.045327 Loss_D_real: -0.040033 Loss_D_fake -0.006384
[228/5000][365/535][23245] Loss_D: -0.034012 Loss_G: 0.009761 Loss_D_real: -0.010961 Loss_D_fake 0.023052
[228/5000][370/535][23246] Loss_D: -0.034894 Loss_G: 0.021589 Loss_D_real: -0.028385 Loss_D_fake 0.006509
[228/5000][375/535][23247] Loss_D: -0.036167 Loss_G: 0.021951 Loss_D_real: -0.027624 Loss_D_fake 0.008543
[228/5000][380/535][23248] Loss_D: -0.036594 Loss_G: 0.015904 Loss_D_real: -0.024562 Loss_D_fake 0.012033
[228/5000][385/535][23249] Loss_D: -0.037438 Loss_G: 0.039663 Loss_D_real: -0.039001 Loss_D_fake -0.001564
[228/5000][390/535][23250] Loss_D: -0.036501 Loss_G: 0.003488 Loss_D_real: -0.007942 Loss_D_fake 0.028559
[228/5000][395/535][23251] Loss_D: -0.032608 Loss_G: 0.040707 Loss_D_real: -0.050920 Loss_D_fake -0.018313
[228/5000][400/535][23252] Loss_D: -0.035345 Loss_G: 0.002771 Loss_D_real: -0.008170 Loss_D_fake 0.027175
[228/5000][405/535][23253] Loss_D: -0.032859 Loss_G: 0.035573 Loss_D_real: -0.042440 Loss_D_fake -0.009582
[228/5000][410/535][23254] Loss_D: -0.036280 Loss_G: 0.017645 Loss_D_real: -0.017299 Loss_D_fake 0.018981
[228/5000][415/535][23255] Loss_D: -0.036214 Loss_G: 0.000299 Loss_D_real: -0.019483 Loss_D_fake 0.016731
[228/5000][420/535][23256] Loss_D: -0.036978 Loss_G: 0.025471 Loss_D_real: -0.033608 Loss_D_fake 0.003370
[228/5000][425/535][23257] Loss_D: -0.036013 Loss_G: 0.016626 Loss_D_real: -0.025740 Loss_D_fake 0.010273
[228/5000][430/535][23258] Loss_D: -0.034754 Loss_G: 0.029357 Loss_D_real: -0.029329 Loss_D_fake 0.005426
[228/5000][435/535][23259] Loss_D: -0.036685 Loss_G: 0.013144 Loss_D_real: -0.015519 Loss_D_fake 0.021166
[228/5000][440/535][23260] Loss_D: -0.036231 Loss_G: 0.034628 Loss_D_real: -0.038686 Loss_D_fake -0.002454
[228/5000][445/535][23261] Loss_D: -0.036137 Loss_G: 0.016560 Loss_D_real: -0.017337 Loss_D_fake 0.018800
[228/5000][450/535][23262] Loss_D: -0.036025 Loss_G: 0.013188 Loss_D_real: -0.023888 Loss_D_fake 0.012137
[228/5000][455/535][23263] Loss_D: -0.036414 Loss_G: 0.029130 Loss_D_real: -0.031659 Loss_D_fake 0.004755
[228/5000][460/535][23264] Loss_D: -0.036039 Loss_G: 0.006478 Loss_D_real: -0.009668 Loss_D_fake 0.026371
[228/5000][465/535][23265] Loss_D: -0.036381 Loss_G: 0.015923 Loss_D_real: -0.030468 Loss_D_fake 0.005913
[228/5000][470/535][23266] Loss_D: -0.034755 Loss_G: -0.005623 Loss_D_real: -0.014925 Loss_D_fake 0.019829
[228/5000][475/535][23267] Loss_D: -0.036894 Loss_G: 0.014097 Loss_D_real: -0.018046 Loss_D_fake 0.018847
[228/5000][480/535][23268] Loss_D: -0.034010 Loss_G: 0.020652 Loss_D_real: -0.025668 Loss_D_fake 0.008342
[228/5000][485/535][23269] Loss_D: -0.033344 Loss_G: 0.039376 Loss_D_real: -0.042356 Loss_D_fake -0.009012
[228/5000][490/535][23270] Loss_D: -0.033722 Loss_G: -0.000129 Loss_D_real: -0.011298 Loss_D_fake 0.022424
[228/5000][495/535][23271] Loss_D: -0.035275 Loss_G: 0.030714 Loss_D_real: -0.032140 Loss_D_fake 0.003135
[228/5000][500/535][23272] Loss_D: -0.035163 Loss_G: 0.002774 Loss_D_real: -0.016180 Loss_D_fake 0.018983
[228/5000][505/535][23273] Loss_D: -0.036546 Loss_G: 0.025909 Loss_D_real: -0.029028 Loss_D_fake 0.007517
[228/5000][510/535][23274] Loss_D: -0.033781 Loss_G: 0.008256 Loss_D_real: -0.009685 Loss_D_fake 0.024096
[228/5000][515/535][23275] Loss_D: -0.036373 Loss_G: 0.013666 Loss_D_real: -0.028960 Loss_D_fake 0.007413
[228/5000][520/535][23276] Loss_D: -0.036239 Loss_G: 0.004756 Loss_D_real: -0.012440 Loss_D_fake 0.023798
[228/5000][525/535][23277] Loss_D: -0.035878 Loss_G: 0.018852 Loss_D_real: -0.026320 Loss_D_fake 0.009559
[228/5000][530/535][23278] Loss_D: -0.036683 Loss_G: 0.018004 Loss_D_real: -0.024023 Loss_D_fake 0.012660
[228/5000][535/535][23279] Loss_D: -0.034531 Loss_G: -0.001236 Loss_D_real: -0.002140 Loss_D_fake 0.032390
[229/5000][5/535][23280] Loss_D: -0.036921 Loss_G: 0.029086 Loss_D_real: -0.034921 Loss_D_fake 0.002000
[229/5000][10/535][23281] Loss_D: -0.035959 Loss_G: 0.007299 Loss_D_real: -0.018508 Loss_D_fake 0.017452
[229/5000][15/535][23282] Loss_D: -0.036414 Loss_G: 0.013672 Loss_D_real: -0.018854 Loss_D_fake 0.017559
[229/5000][20/535][23283] Loss_D: -0.036519 Loss_G: -0.002380 Loss_D_real: -0.013842 Loss_D_fake 0.022677
[229/5000][25/535][23284] Loss_D: -0.036652 Loss_G: 0.014122 Loss_D_real: -0.021903 Loss_D_fake 0.014749
[229/5000][30/535][23285] Loss_D: -0.037235 Loss_G: -0.001761 Loss_D_real: -0.012405 Loss_D_fake 0.024830
[229/5000][35/535][23286] Loss_D: -0.037132 Loss_G: 0.002282 Loss_D_real: -0.013260 Loss_D_fake 0.023872
[229/5000][40/535][23287] Loss_D: -0.036644 Loss_G: 0.026794 Loss_D_real: -0.034665 Loss_D_fake 0.001979
[229/5000][45/535][23288] Loss_D: -0.035717 Loss_G: 0.001530 Loss_D_real: -0.009419 Loss_D_fake 0.026298
[229/5000][50/535][23289] Loss_D: -0.037178 Loss_G: 0.027556 Loss_D_real: -0.036974 Loss_D_fake 0.000205
[229/5000][55/535][23290] Loss_D: -0.035677 Loss_G: -0.012338 Loss_D_real: 0.001800 Loss_D_fake 0.037478
[229/5000][60/535][23291] Loss_D: -0.035687 Loss_G: 0.030206 Loss_D_real: -0.031673 Loss_D_fake 0.004014
[229/5000][65/535][23292] Loss_D: -0.035031 Loss_G: 0.004752 Loss_D_real: -0.010352 Loss_D_fake 0.024679
[229/5000][70/535][23293] Loss_D: -0.035501 Loss_G: 0.028578 Loss_D_real: -0.031403 Loss_D_fake 0.004097
[229/5000][75/535][23294] Loss_D: -0.035469 Loss_G: 0.015244 Loss_D_real: -0.018857 Loss_D_fake 0.016612
[229/5000][80/535][23295] Loss_D: -0.037501 Loss_G: 0.023949 Loss_D_real: -0.022162 Loss_D_fake 0.015339
[229/5000][85/535][23296] Loss_D: -0.034304 Loss_G: -0.000485 Loss_D_real: -0.004270 Loss_D_fake 0.030034
[229/5000][90/535][23297] Loss_D: -0.035701 Loss_G: 0.023422 Loss_D_real: -0.027166 Loss_D_fake 0.008535
[229/5000][95/535][23298] Loss_D: -0.034576 Loss_G: 0.037526 Loss_D_real: -0.036765 Loss_D_fake -0.002189
[229/5000][100/535][23299] Loss_D: -0.037019 Loss_G: 0.008190 Loss_D_real: -0.024930 Loss_D_fake 0.012088
[229/5000][105/535][23300] Loss_D: -0.035114 Loss_G: 0.022357 Loss_D_real: -0.027511 Loss_D_fake 0.007603
[229/5000][110/535][23301] Loss_D: -0.035251 Loss_G: 0.009554 Loss_D_real: -0.014173 Loss_D_fake 0.021078
[229/5000][115/535][23302] Loss_D: -0.035981 Loss_G: 0.029372 Loss_D_real: -0.032573 Loss_D_fake 0.003409
[229/5000][120/535][23303] Loss_D: -0.035519 Loss_G: 0.028573 Loss_D_real: -0.035708 Loss_D_fake -0.000189
[229/5000][125/535][23304] Loss_D: -0.035525 Loss_G: -0.011593 Loss_D_real: -0.013641 Loss_D_fake 0.021884
[229/5000][130/535][23305] Loss_D: -0.033628 Loss_G: 0.037682 Loss_D_real: -0.041572 Loss_D_fake -0.007944
[229/5000][135/535][23306] Loss_D: -0.034787 Loss_G: -0.005827 Loss_D_real: -0.003023 Loss_D_fake 0.031763
[229/5000][140/535][23307] Loss_D: -0.033976 Loss_G: 0.021994 Loss_D_real: -0.029672 Loss_D_fake 0.004304
[229/5000][145/535][23308] Loss_D: -0.035497 Loss_G: 0.017364 Loss_D_real: -0.022344 Loss_D_fake 0.013153
[229/5000][150/535][23309] Loss_D: -0.035624 Loss_G: -0.000209 Loss_D_real: -0.009743 Loss_D_fake 0.025881
[229/5000][155/535][23310] Loss_D: -0.033300 Loss_G: 0.034911 Loss_D_real: -0.041444 Loss_D_fake -0.008144
[229/5000][160/535][23311] Loss_D: -0.034943 Loss_G: -0.005517 Loss_D_real: -0.012258 Loss_D_fake 0.022684
[229/5000][165/535][23312] Loss_D: -0.034838 Loss_G: 0.026375 Loss_D_real: -0.034494 Loss_D_fake 0.000344
[229/5000][170/535][23313] Loss_D: -0.035400 Loss_G: 0.022161 Loss_D_real: -0.028668 Loss_D_fake 0.006732
[229/5000][175/535][23314] Loss_D: -0.036224 Loss_G: 0.007677 Loss_D_real: -0.021965 Loss_D_fake 0.014258
[229/5000][180/535][23315] Loss_D: -0.033060 Loss_G: 0.038164 Loss_D_real: -0.037901 Loss_D_fake -0.004841
[229/5000][185/535][23316] Loss_D: -0.033704 Loss_G: 0.013588 Loss_D_real: -0.024366 Loss_D_fake 0.009338
[229/5000][190/535][23317] Loss_D: -0.035334 Loss_G: 0.000044 Loss_D_real: -0.007884 Loss_D_fake 0.027450
[229/5000][195/535][23318] Loss_D: -0.035247 Loss_G: 0.013037 Loss_D_real: -0.025960 Loss_D_fake 0.009287
[229/5000][200/535][23319] Loss_D: -0.034383 Loss_G: 0.020806 Loss_D_real: -0.026972 Loss_D_fake 0.007411
[229/5000][205/535][23320] Loss_D: -0.036721 Loss_G: 0.011486 Loss_D_real: -0.011697 Loss_D_fake 0.025025
[229/5000][210/535][23321] Loss_D: -0.034574 Loss_G: -0.001287 Loss_D_real: -0.007701 Loss_D_fake 0.026874
[229/5000][215/535][23322] Loss_D: -0.036036 Loss_G: 0.015659 Loss_D_real: -0.022356 Loss_D_fake 0.013680
[229/5000][220/535][23323] Loss_D: -0.034416 Loss_G: 0.034476 Loss_D_real: -0.034439 Loss_D_fake -0.000023
[229/5000][225/535][23324] Loss_D: -0.036644 Loss_G: 0.025234 Loss_D_real: -0.027198 Loss_D_fake 0.009446
[229/5000][230/535][23325] Loss_D: -0.036449 Loss_G: 0.028466 Loss_D_real: -0.028832 Loss_D_fake 0.007618
[229/5000][235/535][23326] Loss_D: -0.036367 Loss_G: 0.031366 Loss_D_real: -0.032024 Loss_D_fake 0.004342
[229/5000][240/535][23327] Loss_D: -0.036312 Loss_G: -0.011479 Loss_D_real: -0.008251 Loss_D_fake 0.028061
[229/5000][245/535][23328] Loss_D: -0.035800 Loss_G: 0.002402 Loss_D_real: -0.016461 Loss_D_fake 0.019340
[229/5000][250/535][23329] Loss_D: -0.031663 Loss_G: 0.043062 Loss_D_real: -0.049597 Loss_D_fake -0.017934
[229/5000][255/535][23330] Loss_D: -0.034842 Loss_G: 0.000147 Loss_D_real: -0.006974 Loss_D_fake 0.027868
[229/5000][260/535][23331] Loss_D: -0.034764 Loss_G: 0.029752 Loss_D_real: -0.036277 Loss_D_fake -0.001513
[229/5000][265/535][23332] Loss_D: -0.036003 Loss_G: 0.011218 Loss_D_real: -0.013171 Loss_D_fake 0.022832
[229/5000][270/535][23333] Loss_D: -0.036292 Loss_G: 0.016051 Loss_D_real: -0.019288 Loss_D_fake 0.017004
[229/5000][275/535][23334] Loss_D: -0.035184 Loss_G: -0.003715 Loss_D_real: -0.009162 Loss_D_fake 0.026022
[229/5000][280/535][23335] Loss_D: -0.034239 Loss_G: 0.032738 Loss_D_real: -0.035987 Loss_D_fake -0.001748
[229/5000][285/535][23336] Loss_D: -0.036494 Loss_G: 0.002923 Loss_D_real: -0.009109 Loss_D_fake 0.027384
[229/5000][290/535][23337] Loss_D: -0.036178 Loss_G: 0.007226 Loss_D_real: -0.018452 Loss_D_fake 0.017726
[229/5000][295/535][23338] Loss_D: -0.034986 Loss_G: 0.006347 Loss_D_real: -0.018738 Loss_D_fake 0.016248
[229/5000][300/535][23339] Loss_D: -0.034337 Loss_G: 0.031371 Loss_D_real: -0.040284 Loss_D_fake -0.005947
[229/5000][305/535][23340] Loss_D: -0.036529 Loss_G: 0.018782 Loss_D_real: -0.023112 Loss_D_fake 0.013416
[229/5000][310/535][23341] Loss_D: -0.033315 Loss_G: 0.032317 Loss_D_real: -0.039885 Loss_D_fake -0.006570
[229/5000][315/535][23342] Loss_D: -0.035528 Loss_G: 0.004609 Loss_D_real: -0.010894 Loss_D_fake 0.024634
[229/5000][320/535][23343] Loss_D: -0.034158 Loss_G: 0.023344 Loss_D_real: -0.036295 Loss_D_fake -0.002137
[229/5000][325/535][23344] Loss_D: -0.034529 Loss_G: 0.015131 Loss_D_real: -0.020641 Loss_D_fake 0.013888
[229/5000][330/535][23345] Loss_D: -0.036915 Loss_G: 0.019477 Loss_D_real: -0.026116 Loss_D_fake 0.010798
[229/5000][335/535][23346] Loss_D: -0.035472 Loss_G: -0.001728 Loss_D_real: -0.013273 Loss_D_fake 0.022200
[229/5000][340/535][23347] Loss_D: -0.034184 Loss_G: 0.038448 Loss_D_real: -0.041907 Loss_D_fake -0.007724
[229/5000][345/535][23348] Loss_D: -0.035322 Loss_G: 0.006361 Loss_D_real: -0.010957 Loss_D_fake 0.024366
[229/5000][350/535][23349] Loss_D: -0.033821 Loss_G: -0.008323 Loss_D_real: 0.000589 Loss_D_fake 0.034410
[229/5000][355/535][23350] Loss_D: -0.035216 Loss_G: 0.023606 Loss_D_real: -0.032577 Loss_D_fake 0.002639
[229/5000][360/535][23351] Loss_D: -0.034203 Loss_G: -0.003952 Loss_D_real: -0.011181 Loss_D_fake 0.023022
[229/5000][365/535][23352] Loss_D: -0.034980 Loss_G: 0.005891 Loss_D_real: -0.012305 Loss_D_fake 0.022675
[229/5000][370/535][23353] Loss_D: -0.034210 Loss_G: 0.026005 Loss_D_real: -0.028671 Loss_D_fake 0.005538
[229/5000][375/535][23354] Loss_D: -0.036214 Loss_G: 0.008563 Loss_D_real: -0.014914 Loss_D_fake 0.021299
[229/5000][380/535][23355] Loss_D: -0.038283 Loss_G: 0.030531 Loss_D_real: -0.031228 Loss_D_fake 0.007055
[229/5000][385/535][23356] Loss_D: -0.036006 Loss_G: 0.020388 Loss_D_real: -0.022687 Loss_D_fake 0.013319
[229/5000][390/535][23357] Loss_D: -0.035925 Loss_G: 0.018458 Loss_D_real: -0.035035 Loss_D_fake 0.000889
[229/5000][395/535][23358] Loss_D: -0.035790 Loss_G: 0.016982 Loss_D_real: -0.021972 Loss_D_fake 0.013818
[229/5000][400/535][23359] Loss_D: -0.033221 Loss_G: 0.022477 Loss_D_real: -0.026632 Loss_D_fake 0.006589
[229/5000][405/535][23360] Loss_D: -0.035127 Loss_G: 0.033200 Loss_D_real: -0.029093 Loss_D_fake 0.006034
[229/5000][410/535][23361] Loss_D: -0.035492 Loss_G: 0.007240 Loss_D_real: -0.017638 Loss_D_fake 0.017854
[229/5000][415/535][23362] Loss_D: -0.037129 Loss_G: 0.025336 Loss_D_real: -0.030827 Loss_D_fake 0.006301
[229/5000][420/535][23363] Loss_D: -0.037182 Loss_G: 0.012355 Loss_D_real: -0.022959 Loss_D_fake 0.014223
[229/5000][425/535][23364] Loss_D: -0.035553 Loss_G: 0.038188 Loss_D_real: -0.040529 Loss_D_fake -0.004976
[229/5000][430/535][23365] Loss_D: -0.035588 Loss_G: -0.011576 Loss_D_real: -0.002404 Loss_D_fake 0.033184
[229/5000][435/535][23366] Loss_D: -0.034388 Loss_G: 0.030709 Loss_D_real: -0.035386 Loss_D_fake -0.000998
[229/5000][440/535][23367] Loss_D: -0.034405 Loss_G: -0.005268 Loss_D_real: -0.001795 Loss_D_fake 0.032610
[229/5000][445/535][23368] Loss_D: -0.034199 Loss_G: 0.034303 Loss_D_real: -0.042426 Loss_D_fake -0.008228
[229/5000][450/535][23369] Loss_D: -0.035952 Loss_G: 0.000037 Loss_D_real: -0.011668 Loss_D_fake 0.024284
[229/5000][455/535][23370] Loss_D: -0.035361 Loss_G: 0.002186 Loss_D_real: -0.020850 Loss_D_fake 0.014511
[229/5000][460/535][23371] Loss_D: -0.035987 Loss_G: 0.015887 Loss_D_real: -0.030257 Loss_D_fake 0.005729
[229/5000][465/535][23372] Loss_D: -0.035338 Loss_G: 0.008592 Loss_D_real: -0.013598 Loss_D_fake 0.021740
[229/5000][470/535][23373] Loss_D: -0.034577 Loss_G: 0.013331 Loss_D_real: -0.019205 Loss_D_fake 0.015372
[229/5000][475/535][23374] Loss_D: -0.035498 Loss_G: 0.012737 Loss_D_real: -0.027967 Loss_D_fake 0.007531
[229/5000][480/535][23375] Loss_D: -0.037504 Loss_G: 0.036615 Loss_D_real: -0.027323 Loss_D_fake 0.010181
[229/5000][485/535][23376] Loss_D: -0.035939 Loss_G: 0.005004 Loss_D_real: -0.014105 Loss_D_fake 0.021835
[229/5000][490/535][23377] Loss_D: -0.036072 Loss_G: 0.018264 Loss_D_real: -0.021842 Loss_D_fake 0.014229
[229/5000][495/535][23378] Loss_D: -0.034978 Loss_G: 0.043175 Loss_D_real: -0.041056 Loss_D_fake -0.006079
[229/5000][500/535][23379] Loss_D: -0.035132 Loss_G: -0.009992 Loss_D_real: 0.000597 Loss_D_fake 0.035729
[229/5000][505/535][23380] Loss_D: -0.033871 Loss_G: 0.038163 Loss_D_real: -0.041195 Loss_D_fake -0.007324
[229/5000][510/535][23381] Loss_D: -0.035525 Loss_G: 0.004471 Loss_D_real: -0.004326 Loss_D_fake 0.031200
[229/5000][515/535][23382] Loss_D: -0.033961 Loss_G: 0.032924 Loss_D_real: -0.035868 Loss_D_fake -0.001907
[229/5000][520/535][23383] Loss_D: -0.036182 Loss_G: 0.008938 Loss_D_real: -0.024070 Loss_D_fake 0.012112
[229/5000][525/535][23384] Loss_D: -0.035810 Loss_G: 0.011131 Loss_D_real: -0.020340 Loss_D_fake 0.015470
[229/5000][530/535][23385] Loss_D: -0.035922 Loss_G: 0.008355 Loss_D_real: -0.025988 Loss_D_fake 0.009933
[229/5000][535/535][23386] Loss_D: -0.035792 Loss_G: 0.020043 Loss_D_real: -0.040013 Loss_D_fake -0.004221
[230/5000][5/535][23387] Loss_D: -0.036180 Loss_G: 0.013293 Loss_D_real: -0.022309 Loss_D_fake 0.013871
[230/5000][10/535][23388] Loss_D: -0.035821 Loss_G: 0.013936 Loss_D_real: -0.020809 Loss_D_fake 0.015012
[230/5000][15/535][23389] Loss_D: -0.034815 Loss_G: 0.025318 Loss_D_real: -0.034615 Loss_D_fake 0.000200
[230/5000][20/535][23390] Loss_D: -0.036185 Loss_G: 0.021176 Loss_D_real: -0.026028 Loss_D_fake 0.010157
[230/5000][25/535][23391] Loss_D: -0.035506 Loss_G: 0.028297 Loss_D_real: -0.027515 Loss_D_fake 0.007991
[230/5000][30/535][23392] Loss_D: -0.035301 Loss_G: -0.004910 Loss_D_real: -0.003061 Loss_D_fake 0.032240
[230/5000][35/535][23393] Loss_D: -0.035208 Loss_G: 0.005804 Loss_D_real: -0.020901 Loss_D_fake 0.014307
[230/5000][40/535][23394] Loss_D: -0.034168 Loss_G: 0.033091 Loss_D_real: -0.040927 Loss_D_fake -0.006759
[230/5000][45/535][23395] Loss_D: -0.035650 Loss_G: -0.006979 Loss_D_real: -0.004105 Loss_D_fake 0.031545
[230/5000][50/535][23396] Loss_D: -0.035062 Loss_G: 0.015716 Loss_D_real: -0.022860 Loss_D_fake 0.012202
[230/5000][55/535][23397] Loss_D: -0.034838 Loss_G: 0.005076 Loss_D_real: -0.011811 Loss_D_fake 0.023026
[230/5000][60/535][23398] Loss_D: -0.035165 Loss_G: 0.027560 Loss_D_real: -0.028771 Loss_D_fake 0.006394
[230/5000][65/535][23399] Loss_D: -0.035624 Loss_G: 0.020422 Loss_D_real: -0.024914 Loss_D_fake 0.010710
[230/5000][70/535][23400] Loss_D: -0.036898 Loss_G: 0.009199 Loss_D_real: -0.019040 Loss_D_fake 0.017858
[230/5000][75/535][23401] Loss_D: -0.036061 Loss_G: 0.022265 Loss_D_real: -0.037807 Loss_D_fake -0.001747
[230/5000][80/535][23402] Loss_D: -0.036259 Loss_G: 0.006319 Loss_D_real: -0.014306 Loss_D_fake 0.021953
[230/5000][85/535][23403] Loss_D: -0.035182 Loss_G: 0.033434 Loss_D_real: -0.029140 Loss_D_fake 0.006041
[230/5000][90/535][23404] Loss_D: -0.037330 Loss_G: 0.013562 Loss_D_real: -0.022731 Loss_D_fake 0.014599
[230/5000][95/535][23405] Loss_D: -0.035648 Loss_G: 0.037640 Loss_D_real: -0.034099 Loss_D_fake 0.001549
[230/5000][100/535][23406] Loss_D: -0.035546 Loss_G: 0.018836 Loss_D_real: -0.022776 Loss_D_fake 0.012770
[230/5000][105/535][23407] Loss_D: -0.035412 Loss_G: 0.036075 Loss_D_real: -0.038780 Loss_D_fake -0.003368
[230/5000][110/535][23408] Loss_D: -0.034880 Loss_G: 0.008023 Loss_D_real: -0.009379 Loss_D_fake 0.025502
[230/5000][115/535][23409] Loss_D: -0.036562 Loss_G: 0.013001 Loss_D_real: -0.025286 Loss_D_fake 0.011276
[230/5000][120/535][23410] Loss_D: -0.036457 Loss_G: 0.026505 Loss_D_real: -0.025743 Loss_D_fake 0.010714
[230/5000][125/535][23411] Loss_D: -0.036020 Loss_G: 0.011597 Loss_D_real: -0.017201 Loss_D_fake 0.018819
[230/5000][130/535][23412] Loss_D: -0.033688 Loss_G: 0.040479 Loss_D_real: -0.045183 Loss_D_fake -0.011495
[230/5000][135/535][23413] Loss_D: -0.036547 Loss_G: 0.012207 Loss_D_real: -0.022015 Loss_D_fake 0.014532
[230/5000][140/535][23414] Loss_D: -0.036780 Loss_G: 0.029795 Loss_D_real: -0.031115 Loss_D_fake 0.005665
[230/5000][145/535][23415] Loss_D: -0.033664 Loss_G: -0.012530 Loss_D_real: -0.005251 Loss_D_fake 0.028412
[230/5000][150/535][23416] Loss_D: -0.034232 Loss_G: 0.023624 Loss_D_real: -0.031751 Loss_D_fake 0.002482
[230/5000][155/535][23417] Loss_D: -0.035345 Loss_G: 0.014045 Loss_D_real: -0.023601 Loss_D_fake 0.011744
[230/5000][160/535][23418] Loss_D: -0.036509 Loss_G: 0.016893 Loss_D_real: -0.025806 Loss_D_fake 0.010703
[230/5000][165/535][23419] Loss_D: -0.035063 Loss_G: 0.026102 Loss_D_real: -0.037332 Loss_D_fake -0.002269
[230/5000][170/535][23420] Loss_D: -0.036653 Loss_G: 0.003590 Loss_D_real: -0.016447 Loss_D_fake 0.020206
[230/5000][175/535][23421] Loss_D: -0.036389 Loss_G: 0.036522 Loss_D_real: -0.040377 Loss_D_fake -0.003988
[230/5000][180/535][23422] Loss_D: -0.035094 Loss_G: -0.012387 Loss_D_real: -0.005619 Loss_D_fake 0.029475
[230/5000][185/535][23423] Loss_D: -0.032184 Loss_G: 0.044071 Loss_D_real: -0.040694 Loss_D_fake -0.008510
[230/5000][190/535][23424] Loss_D: -0.034756 Loss_G: -0.000820 Loss_D_real: -0.002407 Loss_D_fake 0.032349
[230/5000][195/535][23425] Loss_D: -0.034614 Loss_G: 0.023965 Loss_D_real: -0.024381 Loss_D_fake 0.010233
[230/5000][200/535][23426] Loss_D: -0.034896 Loss_G: 0.000995 Loss_D_real: -0.005444 Loss_D_fake 0.029452
[230/5000][205/535][23427] Loss_D: -0.035299 Loss_G: 0.029213 Loss_D_real: -0.039168 Loss_D_fake -0.003868
[230/5000][210/535][23428] Loss_D: -0.036248 Loss_G: 0.017446 Loss_D_real: -0.016882 Loss_D_fake 0.019366
[230/5000][215/535][23429] Loss_D: -0.036541 Loss_G: 0.013444 Loss_D_real: -0.023558 Loss_D_fake 0.012983
[230/5000][220/535][23430] Loss_D: -0.035587 Loss_G: 0.032224 Loss_D_real: -0.036348 Loss_D_fake -0.000762
[230/5000][225/535][23431] Loss_D: -0.037519 Loss_G: 0.037803 Loss_D_real: -0.035181 Loss_D_fake 0.002338
[230/5000][230/535][23432] Loss_D: -0.035083 Loss_G: 0.010004 Loss_D_real: -0.017688 Loss_D_fake 0.017395
[230/5000][235/535][23433] Loss_D: -0.036368 Loss_G: 0.003705 Loss_D_real: -0.019465 Loss_D_fake 0.016903
[230/5000][240/535][23434] Loss_D: -0.034520 Loss_G: 0.018742 Loss_D_real: -0.027608 Loss_D_fake 0.006912
[230/5000][245/535][23435] Loss_D: -0.035765 Loss_G: -0.002526 Loss_D_real: -0.011446 Loss_D_fake 0.024319
[230/5000][250/535][23436] Loss_D: -0.035690 Loss_G: 0.031186 Loss_D_real: -0.038640 Loss_D_fake -0.002950
[230/5000][255/535][23437] Loss_D: -0.035877 Loss_G: -0.002235 Loss_D_real: -0.008611 Loss_D_fake 0.027266
[230/5000][260/535][23438] Loss_D: -0.035569 Loss_G: 0.023572 Loss_D_real: -0.030023 Loss_D_fake 0.005545
[230/5000][265/535][23439] Loss_D: -0.037347 Loss_G: 0.023164 Loss_D_real: -0.029109 Loss_D_fake 0.008238
[230/5000][270/535][23440] Loss_D: -0.037893 Loss_G: 0.011313 Loss_D_real: -0.026904 Loss_D_fake 0.010989
[230/5000][275/535][23441] Loss_D: -0.035652 Loss_G: 0.037616 Loss_D_real: -0.033229 Loss_D_fake 0.002423
[230/5000][280/535][23442] Loss_D: -0.034056 Loss_G: -0.008877 Loss_D_real: -0.011494 Loss_D_fake 0.022562
[230/5000][285/535][23443] Loss_D: -0.032941 Loss_G: 0.013538 Loss_D_real: -0.025618 Loss_D_fake 0.007323
[230/5000][290/535][23444] Loss_D: -0.035356 Loss_G: -0.001329 Loss_D_real: -0.010434 Loss_D_fake 0.024923
[230/5000][295/535][23445] Loss_D: -0.034967 Loss_G: 0.030674 Loss_D_real: -0.030044 Loss_D_fake 0.004923
[230/5000][300/535][23446] Loss_D: -0.033370 Loss_G: 0.033069 Loss_D_real: -0.031170 Loss_D_fake 0.002201
[230/5000][305/535][23447] Loss_D: -0.034083 Loss_G: -0.005233 Loss_D_real: -0.004378 Loss_D_fake 0.029704
[230/5000][310/535][23448] Loss_D: -0.036712 Loss_G: 0.019067 Loss_D_real: -0.023202 Loss_D_fake 0.013509
[230/5000][315/535][23449] Loss_D: -0.036426 Loss_G: 0.003232 Loss_D_real: -0.018374 Loss_D_fake 0.018052
[230/5000][320/535][23450] Loss_D: -0.034877 Loss_G: 0.033181 Loss_D_real: -0.033423 Loss_D_fake 0.001454
[230/5000][325/535][23451] Loss_D: -0.034798 Loss_G: 0.005549 Loss_D_real: -0.013148 Loss_D_fake 0.021650
[230/5000][330/535][23452] Loss_D: -0.032917 Loss_G: 0.040551 Loss_D_real: -0.041020 Loss_D_fake -0.008103
[230/5000][335/535][23453] Loss_D: -0.034956 Loss_G: 0.002860 Loss_D_real: -0.010490 Loss_D_fake 0.024466
[230/5000][340/535][23454] Loss_D: -0.035049 Loss_G: 0.008973 Loss_D_real: -0.025528 Loss_D_fake 0.009521
[230/5000][345/535][23455] Loss_D: -0.034020 Loss_G: 0.027368 Loss_D_real: -0.028685 Loss_D_fake 0.005335
[230/5000][350/535][23456] Loss_D: -0.033618 Loss_G: -0.008983 Loss_D_real: -0.005126 Loss_D_fake 0.028491
[230/5000][355/535][23457] Loss_D: -0.033973 Loss_G: 0.024136 Loss_D_real: -0.031421 Loss_D_fake 0.002552
[230/5000][360/535][23458] Loss_D: -0.035335 Loss_G: 0.034300 Loss_D_real: -0.039250 Loss_D_fake -0.003916
[230/5000][365/535][23459] Loss_D: -0.037129 Loss_G: 0.037442 Loss_D_real: -0.036455 Loss_D_fake 0.000674
[230/5000][370/535][23460] Loss_D: -0.033938 Loss_G: -0.004550 Loss_D_real: -0.008225 Loss_D_fake 0.025713
[230/5000][375/535][23461] Loss_D: -0.033029 Loss_G: 0.024263 Loss_D_real: -0.030375 Loss_D_fake 0.002654
[230/5000][380/535][23462] Loss_D: -0.036673 Loss_G: 0.013924 Loss_D_real: -0.015668 Loss_D_fake 0.021005
[230/5000][385/535][23463] Loss_D: -0.037876 Loss_G: 0.022241 Loss_D_real: -0.020801 Loss_D_fake 0.017075
[230/5000][390/535][23464] Loss_D: -0.037071 Loss_G: 0.009171 Loss_D_real: -0.020826 Loss_D_fake 0.016245
[230/5000][395/535][23465] Loss_D: -0.033540 Loss_G: 0.037458 Loss_D_real: -0.040360 Loss_D_fake -0.006820
[230/5000][400/535][23466] Loss_D: -0.035646 Loss_G: 0.010146 Loss_D_real: -0.015021 Loss_D_fake 0.020624
[230/5000][405/535][23467] Loss_D: -0.034427 Loss_G: 0.021875 Loss_D_real: -0.032435 Loss_D_fake 0.001992
[230/5000][410/535][23468] Loss_D: -0.034954 Loss_G: 0.036573 Loss_D_real: -0.038629 Loss_D_fake -0.003675
[230/5000][415/535][23469] Loss_D: -0.034950 Loss_G: -0.010230 Loss_D_real: -0.001793 Loss_D_fake 0.033157
[230/5000][420/535][23470] Loss_D: -0.033276 Loss_G: 0.029653 Loss_D_real: -0.033115 Loss_D_fake 0.000161
[230/5000][425/535][23471] Loss_D: -0.035027 Loss_G: 0.012091 Loss_D_real: -0.022843 Loss_D_fake 0.012185
[230/5000][430/535][23472] Loss_D: -0.034156 Loss_G: 0.004840 Loss_D_real: -0.008544 Loss_D_fake 0.025611
[230/5000][435/535][23473] Loss_D: -0.035339 Loss_G: 0.021081 Loss_D_real: -0.034449 Loss_D_fake 0.000889
[230/5000][440/535][23474] Loss_D: -0.035615 Loss_G: 0.042726 Loss_D_real: -0.035148 Loss_D_fake 0.000468
[230/5000][445/535][23475] Loss_D: -0.036846 Loss_G: 0.003219 Loss_D_real: -0.016283 Loss_D_fake 0.020563
[230/5000][450/535][23476] Loss_D: -0.035189 Loss_G: 0.020849 Loss_D_real: -0.036964 Loss_D_fake -0.001775
[230/5000][455/535][23477] Loss_D: -0.034483 Loss_G: 0.013368 Loss_D_real: -0.021848 Loss_D_fake 0.012635
[230/5000][460/535][23478] Loss_D: -0.034786 Loss_G: 0.036914 Loss_D_real: -0.031107 Loss_D_fake 0.003679
[230/5000][465/535][23479] Loss_D: -0.034613 Loss_G: 0.002638 Loss_D_real: -0.008326 Loss_D_fake 0.026287
[230/5000][470/535][23480] Loss_D: -0.035849 Loss_G: 0.018822 Loss_D_real: -0.035161 Loss_D_fake 0.000688
[230/5000][475/535][23481] Loss_D: -0.035355 Loss_G: 0.035282 Loss_D_real: -0.029399 Loss_D_fake 0.005956
[230/5000][480/535][23482] Loss_D: -0.035490 Loss_G: -0.003483 Loss_D_real: -0.013981 Loss_D_fake 0.021509
[230/5000][485/535][23483] Loss_D: -0.034610 Loss_G: 0.032937 Loss_D_real: -0.034938 Loss_D_fake -0.000328
[230/5000][490/535][23484] Loss_D: -0.034461 Loss_G: 0.028668 Loss_D_real: -0.029447 Loss_D_fake 0.005014
[230/5000][495/535][23485] Loss_D: -0.035541 Loss_G: 0.004756 Loss_D_real: -0.018997 Loss_D_fake 0.016544
[230/5000][500/535][23486] Loss_D: -0.035541 Loss_G: 0.028143 Loss_D_real: -0.033172 Loss_D_fake 0.002368
[230/5000][505/535][23487] Loss_D: -0.036048 Loss_G: 0.011177 Loss_D_real: -0.023255 Loss_D_fake 0.012793
[230/5000][510/535][23488] Loss_D: -0.037330 Loss_G: 0.009906 Loss_D_real: -0.022088 Loss_D_fake 0.015243
[230/5000][515/535][23489] Loss_D: -0.035518 Loss_G: 0.044539 Loss_D_real: -0.039956 Loss_D_fake -0.004438
[230/5000][520/535][23490] Loss_D: -0.034770 Loss_G: -0.004018 Loss_D_real: -0.005121 Loss_D_fake 0.029649
[230/5000][525/535][23491] Loss_D: -0.031052 Loss_G: 0.033973 Loss_D_real: -0.037774 Loss_D_fake -0.006722
[230/5000][530/535][23492] Loss_D: -0.034879 Loss_G: -0.010144 Loss_D_real: -0.010944 Loss_D_fake 0.023935
[230/5000][535/535][23493] Loss_D: -0.034183 Loss_G: 0.027753 Loss_D_real: -0.037447 Loss_D_fake -0.003264
[231/5000][5/535][23494] Loss_D: -0.035078 Loss_G: -0.002588 Loss_D_real: -0.008957 Loss_D_fake 0.026121
[231/5000][10/535][23495] Loss_D: -0.035297 Loss_G: 0.021852 Loss_D_real: -0.034031 Loss_D_fake 0.001266
[231/5000][15/535][23496] Loss_D: -0.036188 Loss_G: 0.013193 Loss_D_real: -0.026240 Loss_D_fake 0.009948
[231/5000][20/535][23497] Loss_D: -0.035371 Loss_G: 0.036618 Loss_D_real: -0.027821 Loss_D_fake 0.007550
[231/5000][25/535][23498] Loss_D: -0.034117 Loss_G: 0.027977 Loss_D_real: -0.034245 Loss_D_fake -0.000129
[231/5000][30/535][23499] Loss_D: -0.037740 Loss_G: 0.012649 Loss_D_real: -0.021433 Loss_D_fake 0.016307
[231/5000][35/535][23500] Loss_D: -0.034229 Loss_G: 0.021088 Loss_D_real: -0.030340 Loss_D_fake 0.003889
[231/5000][135/535][23501] Loss_D: -0.035546 Loss_G: -0.004387 Loss_D_real: -0.007356 Loss_D_fake 0.028190
[231/5000][140/535][23502] Loss_D: -0.036147 Loss_G: 0.021011 Loss_D_real: -0.019040 Loss_D_fake 0.017107
[231/5000][145/535][23503] Loss_D: -0.032673 Loss_G: 0.022624 Loss_D_real: -0.031975 Loss_D_fake 0.000697
[231/5000][150/535][23504] Loss_D: -0.033792 Loss_G: 0.014955 Loss_D_real: -0.022604 Loss_D_fake 0.011188
[231/5000][155/535][23505] Loss_D: -0.032969 Loss_G: 0.021243 Loss_D_real: -0.026910 Loss_D_fake 0.006059
[231/5000][160/535][23506] Loss_D: -0.035648 Loss_G: -0.006208 Loss_D_real: -0.012624 Loss_D_fake 0.023024
[231/5000][165/535][23507] Loss_D: -0.033892 Loss_G: 0.023103 Loss_D_real: -0.033776 Loss_D_fake 0.000117
[231/5000][170/535][23508] Loss_D: -0.034129 Loss_G: 0.012692 Loss_D_real: -0.022618 Loss_D_fake 0.011511
[231/5000][175/535][23509] Loss_D: -0.035050 Loss_G: 0.016236 Loss_D_real: -0.024136 Loss_D_fake 0.010914
[231/5000][180/535][23510] Loss_D: -0.034492 Loss_G: -0.007536 Loss_D_real: -0.003452 Loss_D_fake 0.031040
[231/5000][185/535][23511] Loss_D: -0.033382 Loss_G: 0.033553 Loss_D_real: -0.041528 Loss_D_fake -0.008146
[231/5000][190/535][23512] Loss_D: -0.034392 Loss_G: 0.018729 Loss_D_real: -0.030677 Loss_D_fake 0.003715
[231/5000][195/535][23513] Loss_D: -0.036813 Loss_G: 0.014391 Loss_D_real: -0.025966 Loss_D_fake 0.010847
[231/5000][200/535][23514] Loss_D: -0.035371 Loss_G: 0.026766 Loss_D_real: -0.030588 Loss_D_fake 0.004783
[231/5000][205/535][23515] Loss_D: -0.036447 Loss_G: 0.010176 Loss_D_real: -0.015104 Loss_D_fake 0.021342
[231/5000][210/535][23516] Loss_D: -0.035809 Loss_G: 0.011378 Loss_D_real: -0.012973 Loss_D_fake 0.022837
[231/5000][215/535][23517] Loss_D: -0.035322 Loss_G: 0.015050 Loss_D_real: -0.016287 Loss_D_fake 0.019035
[231/5000][220/535][23518] Loss_D: -0.035735 Loss_G: 0.026652 Loss_D_real: -0.037402 Loss_D_fake -0.001668
[231/5000][225/535][23519] Loss_D: -0.035404 Loss_G: 0.009898 Loss_D_real: -0.027101 Loss_D_fake 0.008302
[231/5000][230/535][23520] Loss_D: -0.036276 Loss_G: 0.026107 Loss_D_real: -0.024698 Loss_D_fake 0.011578
[231/5000][235/535][23521] Loss_D: -0.034425 Loss_G: 0.026314 Loss_D_real: -0.024872 Loss_D_fake 0.009553
[231/5000][240/535][23522] Loss_D: -0.034864 Loss_G: 0.007554 Loss_D_real: -0.016200 Loss_D_fake 0.018664
[231/5000][245/535][23523] Loss_D: -0.034825 Loss_G: 0.024293 Loss_D_real: -0.029256 Loss_D_fake 0.005569
[231/5000][250/535][23524] Loss_D: -0.034326 Loss_G: -0.013863 Loss_D_real: 0.000687 Loss_D_fake 0.035013
[231/5000][255/535][23525] Loss_D: -0.036414 Loss_G: 0.013843 Loss_D_real: -0.025940 Loss_D_fake 0.010474
[231/5000][260/535][23526] Loss_D: -0.035826 Loss_G: 0.023814 Loss_D_real: -0.031647 Loss_D_fake 0.004179
[231/5000][265/535][23527] Loss_D: -0.036383 Loss_G: 0.028207 Loss_D_real: -0.030527 Loss_D_fake 0.005855
[231/5000][270/535][23528] Loss_D: -0.034370 Loss_G: 0.004347 Loss_D_real: -0.017236 Loss_D_fake 0.017134
[231/5000][275/535][23529] Loss_D: -0.035489 Loss_G: 0.031453 Loss_D_real: -0.031762 Loss_D_fake 0.003727
[231/5000][280/535][23530] Loss_D: -0.035192 Loss_G: 0.023655 Loss_D_real: -0.021105 Loss_D_fake 0.014087
[231/5000][285/535][23531] Loss_D: -0.034862 Loss_G: -0.005976 Loss_D_real: -0.004021 Loss_D_fake 0.030841
[231/5000][290/535][23532] Loss_D: -0.034622 Loss_G: 0.033583 Loss_D_real: -0.036618 Loss_D_fake -0.001995
[231/5000][295/535][23533] Loss_D: -0.034893 Loss_G: 0.019131 Loss_D_real: -0.022276 Loss_D_fake 0.012616
[231/5000][300/535][23534] Loss_D: -0.036264 Loss_G: 0.004048 Loss_D_real: -0.017113 Loss_D_fake 0.019152
[231/5000][305/535][23535] Loss_D: -0.033416 Loss_G: 0.039129 Loss_D_real: -0.035746 Loss_D_fake -0.002330
[231/5000][310/535][23536] Loss_D: -0.037590 Loss_G: 0.005727 Loss_D_real: -0.021821 Loss_D_fake 0.015769
[231/5000][315/535][23537] Loss_D: -0.034655 Loss_G: 0.038343 Loss_D_real: -0.038676 Loss_D_fake -0.004021
[231/5000][320/535][23538] Loss_D: -0.036804 Loss_G: 0.009864 Loss_D_real: -0.016471 Loss_D_fake 0.020333
[231/5000][325/535][23539] Loss_D: -0.032911 Loss_G: 0.044270 Loss_D_real: -0.041799 Loss_D_fake -0.008887
[231/5000][330/535][23540] Loss_D: -0.034847 Loss_G: 0.016394 Loss_D_real: -0.029847 Loss_D_fake 0.005000
[231/5000][335/535][23541] Loss_D: -0.036431 Loss_G: 0.020211 Loss_D_real: -0.027538 Loss_D_fake 0.008893
[231/5000][340/535][23542] Loss_D: -0.034956 Loss_G: 0.033327 Loss_D_real: -0.044036 Loss_D_fake -0.009079
[231/5000][345/535][23543] Loss_D: -0.036468 Loss_G: 0.011290 Loss_D_real: -0.016249 Loss_D_fake 0.020218
[231/5000][350/535][23544] Loss_D: -0.034977 Loss_G: 0.027683 Loss_D_real: -0.030262 Loss_D_fake 0.004715
[231/5000][355/535][23545] Loss_D: -0.036260 Loss_G: 0.004375 Loss_D_real: -0.026695 Loss_D_fake 0.009565
[231/5000][360/535][23546] Loss_D: -0.035295 Loss_G: 0.032508 Loss_D_real: -0.039862 Loss_D_fake -0.004567
[231/5000][365/535][23547] Loss_D: -0.035496 Loss_G: 0.008773 Loss_D_real: -0.019805 Loss_D_fake 0.015691
[231/5000][370/535][23548] Loss_D: -0.035336 Loss_G: 0.022039 Loss_D_real: -0.026011 Loss_D_fake 0.009326
[231/5000][375/535][23549] Loss_D: -0.034822 Loss_G: 0.028450 Loss_D_real: -0.031130 Loss_D_fake 0.003692
[231/5000][380/535][23550] Loss_D: -0.035864 Loss_G: 0.003982 Loss_D_real: -0.014359 Loss_D_fake 0.021505
[231/5000][385/535][23551] Loss_D: -0.036389 Loss_G: 0.025804 Loss_D_real: -0.029112 Loss_D_fake 0.007277
[231/5000][390/535][23552] Loss_D: -0.035052 Loss_G: 0.009452 Loss_D_real: -0.014268 Loss_D_fake 0.020784
[231/5000][395/535][23553] Loss_D: -0.035421 Loss_G: 0.020921 Loss_D_real: -0.027950 Loss_D_fake 0.007471
[231/5000][400/535][23554] Loss_D: -0.035181 Loss_G: 0.003226 Loss_D_real: -0.014084 Loss_D_fake 0.021097
[231/5000][405/535][23555] Loss_D: -0.034273 Loss_G: 0.027997 Loss_D_real: -0.035802 Loss_D_fake -0.001528
[231/5000][410/535][23556] Loss_D: -0.032813 Loss_G: 0.025470 Loss_D_real: -0.025001 Loss_D_fake 0.007812
[231/5000][415/535][23557] Loss_D: -0.035054 Loss_G: 0.006486 Loss_D_real: -0.015397 Loss_D_fake 0.019657
[231/5000][420/535][23558] Loss_D: -0.032442 Loss_G: 0.033152 Loss_D_real: -0.032068 Loss_D_fake 0.000374
[231/5000][425/535][23559] Loss_D: -0.034678 Loss_G: -0.011552 Loss_D_real: -0.002622 Loss_D_fake 0.032056
[231/5000][430/535][23560] Loss_D: -0.034354 Loss_G: 0.028611 Loss_D_real: -0.032340 Loss_D_fake 0.002013
[231/5000][435/535][23561] Loss_D: -0.034911 Loss_G: 0.007276 Loss_D_real: -0.021851 Loss_D_fake 0.013060
[231/5000][440/535][23562] Loss_D: -0.034623 Loss_G: 0.041278 Loss_D_real: -0.041420 Loss_D_fake -0.006797
[231/5000][445/535][23563] Loss_D: -0.036142 Loss_G: 0.017404 Loss_D_real: -0.016954 Loss_D_fake 0.019188
[231/5000][450/535][23564] Loss_D: -0.033535 Loss_G: 0.010843 Loss_D_real: -0.014244 Loss_D_fake 0.019291
[231/5000][455/535][23565] Loss_D: -0.036022 Loss_G: 0.022704 Loss_D_real: -0.031784 Loss_D_fake 0.004238
[231/5000][460/535][23566] Loss_D: -0.035870 Loss_G: 0.017942 Loss_D_real: -0.025402 Loss_D_fake 0.010468
[231/5000][465/535][23567] Loss_D: -0.035167 Loss_G: 0.028454 Loss_D_real: -0.033534 Loss_D_fake 0.001633
[231/5000][470/535][23568] Loss_D: -0.034035 Loss_G: -0.010814 Loss_D_real: 0.003007 Loss_D_fake 0.037042
[231/5000][475/535][23569] Loss_D: -0.031162 Loss_G: 0.039084 Loss_D_real: -0.048427 Loss_D_fake -0.017265
[231/5000][480/535][23570] Loss_D: -0.035666 Loss_G: 0.007509 Loss_D_real: -0.017628 Loss_D_fake 0.018039
[231/5000][485/535][23571] Loss_D: -0.035103 Loss_G: 0.024859 Loss_D_real: -0.026872 Loss_D_fake 0.008231
[231/5000][490/535][23572] Loss_D: -0.034951 Loss_G: -0.005623 Loss_D_real: -0.011039 Loss_D_fake 0.023911
[231/5000][495/535][23573] Loss_D: -0.035648 Loss_G: 0.017504 Loss_D_real: -0.025148 Loss_D_fake 0.010500
[231/5000][500/535][23574] Loss_D: -0.034639 Loss_G: 0.016594 Loss_D_real: -0.028485 Loss_D_fake 0.006153
[231/5000][505/535][23575] Loss_D: -0.036326 Loss_G: 0.025259 Loss_D_real: -0.032010 Loss_D_fake 0.004316
[231/5000][510/535][23576] Loss_D: -0.032950 Loss_G: 0.032833 Loss_D_real: -0.038581 Loss_D_fake -0.005631
[231/5000][515/535][23577] Loss_D: -0.036400 Loss_G: 0.013042 Loss_D_real: -0.026256 Loss_D_fake 0.010143
[231/5000][520/535][23578] Loss_D: -0.036436 Loss_G: 0.023968 Loss_D_real: -0.035088 Loss_D_fake 0.001348
[231/5000][525/535][23579] Loss_D: -0.035599 Loss_G: 0.003063 Loss_D_real: -0.009449 Loss_D_fake 0.026151
[231/5000][530/535][23580] Loss_D: -0.034917 Loss_G: 0.006874 Loss_D_real: -0.017348 Loss_D_fake 0.017570
[231/5000][535/535][23581] Loss_D: -0.030271 Loss_G: 0.042097 Loss_D_real: -0.023313 Loss_D_fake 0.006958
[232/5000][5/535][23582] Loss_D: -0.034180 Loss_G: -0.005328 Loss_D_real: -0.011160 Loss_D_fake 0.023021
[232/5000][10/535][23583] Loss_D: -0.034627 Loss_G: 0.017989 Loss_D_real: -0.032173 Loss_D_fake 0.002454
[232/5000][15/535][23584] Loss_D: -0.036025 Loss_G: 0.010276 Loss_D_real: -0.015136 Loss_D_fake 0.020890
[232/5000][20/535][23585] Loss_D: -0.035066 Loss_G: 0.025716 Loss_D_real: -0.025173 Loss_D_fake 0.009893
[232/5000][25/535][23586] Loss_D: -0.034197 Loss_G: 0.006546 Loss_D_real: -0.012140 Loss_D_fake 0.022057
[232/5000][30/535][23587] Loss_D: -0.033046 Loss_G: 0.032584 Loss_D_real: -0.035480 Loss_D_fake -0.002434
[232/5000][35/535][23588] Loss_D: -0.033401 Loss_G: 0.007486 Loss_D_real: -0.009679 Loss_D_fake 0.023723
[232/5000][40/535][23589] Loss_D: -0.032494 Loss_G: 0.037480 Loss_D_real: -0.035325 Loss_D_fake -0.002831
[232/5000][45/535][23590] Loss_D: -0.032699 Loss_G: -0.017100 Loss_D_real: 0.000798 Loss_D_fake 0.033497
[232/5000][50/535][23591] Loss_D: -0.033428 Loss_G: 0.026990 Loss_D_real: -0.032910 Loss_D_fake 0.000517
[232/5000][55/535][23592] Loss_D: -0.034746 Loss_G: 0.026322 Loss_D_real: -0.031837 Loss_D_fake 0.002909
[232/5000][60/535][23593] Loss_D: -0.036796 Loss_G: 0.001799 Loss_D_real: -0.018097 Loss_D_fake 0.018700
[232/5000][65/535][23594] Loss_D: -0.036386 Loss_G: 0.035997 Loss_D_real: -0.034222 Loss_D_fake 0.002165
[232/5000][70/535][23595] Loss_D: -0.037575 Loss_G: 0.026752 Loss_D_real: -0.027518 Loss_D_fake 0.010058
[232/5000][75/535][23596] Loss_D: -0.035163 Loss_G: 0.016282 Loss_D_real: -0.022313 Loss_D_fake 0.012850
[232/5000][80/535][23597] Loss_D: -0.036146 Loss_G: 0.027447 Loss_D_real: -0.026431 Loss_D_fake 0.009714
[232/5000][85/535][23598] Loss_D: -0.036971 Loss_G: 0.007856 Loss_D_real: -0.016674 Loss_D_fake 0.020297
[232/5000][90/535][23599] Loss_D: -0.036322 Loss_G: 0.024582 Loss_D_real: -0.029822 Loss_D_fake 0.006499
[232/5000][95/535][23600] Loss_D: -0.035048 Loss_G: 0.036747 Loss_D_real: -0.039069 Loss_D_fake -0.004021
[232/5000][100/535][23601] Loss_D: -0.036031 Loss_G: 0.000149 Loss_D_real: -0.011798 Loss_D_fake 0.024233
[232/5000][105/535][23602] Loss_D: -0.032594 Loss_G: 0.036683 Loss_D_real: -0.044270 Loss_D_fake -0.011676
[232/5000][110/535][23603] Loss_D: -0.033920 Loss_G: -0.014065 Loss_D_real: -0.001767 Loss_D_fake 0.032152
[232/5000][115/535][23604] Loss_D: -0.034662 Loss_G: 0.018960 Loss_D_real: -0.024467 Loss_D_fake 0.010195
[232/5000][120/535][23605] Loss_D: -0.037411 Loss_G: 0.010274 Loss_D_real: -0.021749 Loss_D_fake 0.015661
[232/5000][125/535][23606] Loss_D: -0.036909 Loss_G: 0.015812 Loss_D_real: -0.022350 Loss_D_fake 0.014559
[232/5000][130/535][23607] Loss_D: -0.035701 Loss_G: 0.028098 Loss_D_real: -0.030928 Loss_D_fake 0.004773
[232/5000][135/535][23608] Loss_D: -0.036147 Loss_G: 0.008798 Loss_D_real: -0.017331 Loss_D_fake 0.018816
[232/5000][140/535][23609] Loss_D: -0.034679 Loss_G: 0.019078 Loss_D_real: -0.029078 Loss_D_fake 0.005601
[232/5000][145/535][23610] Loss_D: -0.035353 Loss_G: 0.024496 Loss_D_real: -0.026730 Loss_D_fake 0.008623
[232/5000][150/535][23611] Loss_D: -0.035139 Loss_G: -0.008054 Loss_D_real: -0.000260 Loss_D_fake 0.034879
[232/5000][155/535][23612] Loss_D: -0.034877 Loss_G: 0.014401 Loss_D_real: -0.024341 Loss_D_fake 0.010537
[232/5000][160/535][23613] Loss_D: -0.035675 Loss_G: 0.017995 Loss_D_real: -0.020036 Loss_D_fake 0.015639
[232/5000][165/535][23614] Loss_D: -0.035791 Loss_G: 0.025980 Loss_D_real: -0.032300 Loss_D_fake 0.003491
[232/5000][170/535][23615] Loss_D: -0.034493 Loss_G: 0.029520 Loss_D_real: -0.026998 Loss_D_fake 0.007495
[232/5000][175/535][23616] Loss_D: -0.035228 Loss_G: -0.003266 Loss_D_real: -0.012301 Loss_D_fake 0.022928
[232/5000][180/535][23617] Loss_D: -0.032696 Loss_G: 0.031829 Loss_D_real: -0.044013 Loss_D_fake -0.011317
[232/5000][185/535][23618] Loss_D: -0.036238 Loss_G: 0.006106 Loss_D_real: -0.012102 Loss_D_fake 0.024136
[232/5000][190/535][23619] Loss_D: -0.034821 Loss_G: 0.015758 Loss_D_real: -0.013271 Loss_D_fake 0.021550
[232/5000][195/535][23620] Loss_D: -0.035616 Loss_G: 0.026732 Loss_D_real: -0.035933 Loss_D_fake -0.000317
[232/5000][200/535][23621] Loss_D: -0.033339 Loss_G: 0.029933 Loss_D_real: -0.034154 Loss_D_fake -0.000815
[232/5000][205/535][23622] Loss_D: -0.033352 Loss_G: 0.020837 Loss_D_real: -0.021081 Loss_D_fake 0.012271
[232/5000][210/535][23623] Loss_D: -0.034836 Loss_G: 0.018841 Loss_D_real: -0.025535 Loss_D_fake 0.009301
[232/5000][215/535][23624] Loss_D: -0.033535 Loss_G: 0.036243 Loss_D_real: -0.031640 Loss_D_fake 0.001895
[232/5000][220/535][23625] Loss_D: -0.034784 Loss_G: 0.030642 Loss_D_real: -0.026913 Loss_D_fake 0.007871
[232/5000][225/535][23626] Loss_D: -0.036735 Loss_G: 0.000385 Loss_D_real: -0.015621 Loss_D_fake 0.021114
[232/5000][230/535][23627] Loss_D: -0.033538 Loss_G: 0.039623 Loss_D_real: -0.034532 Loss_D_fake -0.000994
[232/5000][235/535][23628] Loss_D: -0.036230 Loss_G: 0.000735 Loss_D_real: -0.004978 Loss_D_fake 0.031252
[232/5000][240/535][23629] Loss_D: -0.034601 Loss_G: 0.014009 Loss_D_real: -0.024568 Loss_D_fake 0.010034
[232/5000][245/535][23630] Loss_D: -0.036461 Loss_G: 0.004069 Loss_D_real: -0.017392 Loss_D_fake 0.019068
[232/5000][250/535][23631] Loss_D: -0.034287 Loss_G: 0.006768 Loss_D_real: -0.015875 Loss_D_fake 0.018412
[232/5000][255/535][23632] Loss_D: -0.035307 Loss_G: 0.022862 Loss_D_real: -0.023405 Loss_D_fake 0.011902
[232/5000][260/535][23633] Loss_D: -0.034483 Loss_G: 0.009097 Loss_D_real: -0.013037 Loss_D_fake 0.021445
[232/5000][265/535][23634] Loss_D: -0.035800 Loss_G: 0.030562 Loss_D_real: -0.025783 Loss_D_fake 0.010017
[232/5000][270/535][23635] Loss_D: -0.034992 Loss_G: -0.001651 Loss_D_real: -0.006769 Loss_D_fake 0.028222
[232/5000][275/535][23636] Loss_D: -0.035304 Loss_G: 0.041319 Loss_D_real: -0.035135 Loss_D_fake 0.000169
[232/5000][280/535][23637] Loss_D: -0.035999 Loss_G: 0.003995 Loss_D_real: -0.013612 Loss_D_fake 0.022387
[232/5000][285/535][23638] Loss_D: -0.035502 Loss_G: 0.027483 Loss_D_real: -0.034435 Loss_D_fake 0.001067
[232/5000][290/535][23639] Loss_D: -0.036008 Loss_G: 0.028812 Loss_D_real: -0.030336 Loss_D_fake 0.005672
[232/5000][295/535][23640] Loss_D: -0.035250 Loss_G: 0.010905 Loss_D_real: -0.017124 Loss_D_fake 0.018126
[232/5000][300/535][23641] Loss_D: -0.035648 Loss_G: 0.029585 Loss_D_real: -0.027048 Loss_D_fake 0.008600
[232/5000][305/535][23642] Loss_D: -0.037059 Loss_G: 0.017821 Loss_D_real: -0.024911 Loss_D_fake 0.012149
[232/5000][310/535][23643] Loss_D: -0.033649 Loss_G: 0.036850 Loss_D_real: -0.035969 Loss_D_fake -0.002320
[232/5000][315/535][23644] Loss_D: -0.035703 Loss_G: 0.020438 Loss_D_real: -0.033760 Loss_D_fake 0.001943
[232/5000][320/535][23645] Loss_D: -0.033516 Loss_G: 0.039535 Loss_D_real: -0.048355 Loss_D_fake -0.014839
[232/5000][325/535][23646] Loss_D: -0.034440 Loss_G: -0.000408 Loss_D_real: -0.007680 Loss_D_fake 0.026760
[232/5000][330/535][23647] Loss_D: -0.034263 Loss_G: 0.035684 Loss_D_real: -0.038770 Loss_D_fake -0.004507
[232/5000][335/535][23648] Loss_D: -0.037012 Loss_G: 0.009146 Loss_D_real: -0.017207 Loss_D_fake 0.019805
[232/5000][340/535][23649] Loss_D: -0.037196 Loss_G: -0.015382 Loss_D_real: -0.007429 Loss_D_fake 0.029767
[232/5000][345/535][23650] Loss_D: -0.036037 Loss_G: 0.027762 Loss_D_real: -0.031204 Loss_D_fake 0.004833
[232/5000][350/535][23651] Loss_D: -0.035880 Loss_G: 0.012033 Loss_D_real: -0.019013 Loss_D_fake 0.016868
[232/5000][355/535][23652] Loss_D: -0.036795 Loss_G: 0.017462 Loss_D_real: -0.023041 Loss_D_fake 0.013754
[232/5000][360/535][23653] Loss_D: -0.034992 Loss_G: 0.035385 Loss_D_real: -0.035672 Loss_D_fake -0.000680
[232/5000][365/535][23654] Loss_D: -0.034950 Loss_G: 0.002914 Loss_D_real: -0.012346 Loss_D_fake 0.022603
[232/5000][370/535][23655] Loss_D: -0.034066 Loss_G: 0.012555 Loss_D_real: -0.026334 Loss_D_fake 0.007732
[232/5000][375/535][23656] Loss_D: -0.035212 Loss_G: 0.024237 Loss_D_real: -0.032062 Loss_D_fake 0.003149
[232/5000][380/535][23657] Loss_D: -0.035181 Loss_G: 0.024937 Loss_D_real: -0.026152 Loss_D_fake 0.009029
[232/5000][385/535][23658] Loss_D: -0.032957 Loss_G: 0.043201 Loss_D_real: -0.037855 Loss_D_fake -0.004898
[232/5000][390/535][23659] Loss_D: -0.033828 Loss_G: -0.010251 Loss_D_real: -0.002327 Loss_D_fake 0.031502
[232/5000][395/535][23660] Loss_D: -0.033933 Loss_G: 0.027045 Loss_D_real: -0.029070 Loss_D_fake 0.004863
[232/5000][400/535][23661] Loss_D: -0.034875 Loss_G: 0.006414 Loss_D_real: -0.013285 Loss_D_fake 0.021590
[232/5000][405/535][23662] Loss_D: -0.032508 Loss_G: 0.024048 Loss_D_real: -0.033106 Loss_D_fake -0.000598
[232/5000][410/535][23663] Loss_D: -0.035447 Loss_G: 0.014449 Loss_D_real: -0.021336 Loss_D_fake 0.014112
[232/5000][415/535][23664] Loss_D: -0.035333 Loss_G: -0.001094 Loss_D_real: -0.009408 Loss_D_fake 0.025926
[232/5000][420/535][23665] Loss_D: -0.034084 Loss_G: 0.035655 Loss_D_real: -0.036980 Loss_D_fake -0.002896
[232/5000][425/535][23666] Loss_D: -0.037620 Loss_G: 0.020478 Loss_D_real: -0.031337 Loss_D_fake 0.006283
[232/5000][430/535][23667] Loss_D: -0.034965 Loss_G: 0.032025 Loss_D_real: -0.035090 Loss_D_fake -0.000125
[232/5000][435/535][23668] Loss_D: -0.038329 Loss_G: 0.018695 Loss_D_real: -0.023897 Loss_D_fake 0.014432
[232/5000][440/535][23669] Loss_D: -0.036603 Loss_G: 0.029112 Loss_D_real: -0.028177 Loss_D_fake 0.008426
[232/5000][445/535][23670] Loss_D: -0.036676 Loss_G: 0.013225 Loss_D_real: -0.028330 Loss_D_fake 0.008346
[232/5000][450/535][23671] Loss_D: -0.035973 Loss_G: 0.018627 Loss_D_real: -0.032107 Loss_D_fake 0.003866
[232/5000][455/535][23672] Loss_D: -0.035843 Loss_G: 0.033881 Loss_D_real: -0.032268 Loss_D_fake 0.003574
[232/5000][460/535][23673] Loss_D: -0.035396 Loss_G: 0.001678 Loss_D_real: -0.009903 Loss_D_fake 0.025494
[232/5000][465/535][23674] Loss_D: -0.036451 Loss_G: 0.016062 Loss_D_real: -0.030166 Loss_D_fake 0.006284
[232/5000][470/535][23675] Loss_D: -0.033959 Loss_G: 0.007567 Loss_D_real: -0.018630 Loss_D_fake 0.015329
[232/5000][475/535][23676] Loss_D: -0.035626 Loss_G: 0.025302 Loss_D_real: -0.021468 Loss_D_fake 0.014158
[232/5000][480/535][23677] Loss_D: -0.037051 Loss_G: 0.013628 Loss_D_real: -0.022878 Loss_D_fake 0.014173
[232/5000][485/535][23678] Loss_D: -0.034674 Loss_G: 0.034882 Loss_D_real: -0.037137 Loss_D_fake -0.002462
[232/5000][490/535][23679] Loss_D: -0.035575 Loss_G: -0.014088 Loss_D_real: -0.006323 Loss_D_fake 0.029252
[232/5000][495/535][23680] Loss_D: -0.035265 Loss_G: 0.009780 Loss_D_real: -0.021295 Loss_D_fake 0.013970
[232/5000][500/535][23681] Loss_D: -0.034926 Loss_G: 0.041208 Loss_D_real: -0.046787 Loss_D_fake -0.011861
[232/5000][505/535][23682] Loss_D: -0.036172 Loss_G: 0.000347 Loss_D_real: -0.019537 Loss_D_fake 0.016635
[232/5000][510/535][23683] Loss_D: -0.035494 Loss_G: 0.015404 Loss_D_real: -0.016428 Loss_D_fake 0.019066
[232/5000][515/535][23684] Loss_D: -0.035786 Loss_G: 0.033884 Loss_D_real: -0.036633 Loss_D_fake -0.000846
[232/5000][520/535][23685] Loss_D: -0.036135 Loss_G: -0.006183 Loss_D_real: -0.008265 Loss_D_fake 0.027870
[232/5000][525/535][23686] Loss_D: -0.034238 Loss_G: 0.019311 Loss_D_real: -0.025413 Loss_D_fake 0.008825
[232/5000][530/535][23687] Loss_D: -0.035058 Loss_G: 0.030217 Loss_D_real: -0.033774 Loss_D_fake 0.001285
[232/5000][535/535][23688] Loss_D: -0.035499 Loss_G: 0.043269 Loss_D_real: -0.025491 Loss_D_fake 0.010008
[233/5000][5/535][23689] Loss_D: -0.032463 Loss_G: -0.009790 Loss_D_real: -0.009436 Loss_D_fake 0.023027
[233/5000][10/535][23690] Loss_D: -0.033148 Loss_G: 0.018249 Loss_D_real: -0.030891 Loss_D_fake 0.002257
[233/5000][15/535][23691] Loss_D: -0.036064 Loss_G: 0.007752 Loss_D_real: -0.019967 Loss_D_fake 0.016098
[233/5000][20/535][23692] Loss_D: -0.034941 Loss_G: 0.038790 Loss_D_real: -0.033165 Loss_D_fake 0.001776
[233/5000][25/535][23693] Loss_D: -0.034380 Loss_G: 0.011751 Loss_D_real: -0.013987 Loss_D_fake 0.020393
[233/5000][30/535][23694] Loss_D: -0.035089 Loss_G: 0.014030 Loss_D_real: -0.023807 Loss_D_fake 0.011282
[233/5000][35/535][23695] Loss_D: -0.036088 Loss_G: 0.018630 Loss_D_real: -0.024700 Loss_D_fake 0.011388
[233/5000][40/535][23696] Loss_D: -0.033162 Loss_G: 0.009138 Loss_D_real: -0.022984 Loss_D_fake 0.010179
[233/5000][45/535][23697] Loss_D: -0.034193 Loss_G: 0.033740 Loss_D_real: -0.035587 Loss_D_fake -0.001394
[233/5000][50/535][23698] Loss_D: -0.034253 Loss_G: 0.017522 Loss_D_real: -0.029793 Loss_D_fake 0.004460
[233/5000][55/535][23699] Loss_D: -0.035007 Loss_G: -0.013989 Loss_D_real: -0.003324 Loss_D_fake 0.031682
[233/5000][60/535][23700] Loss_D: -0.035360 Loss_G: 0.022764 Loss_D_real: -0.027188 Loss_D_fake 0.008171
[233/5000][65/535][23701] Loss_D: -0.035635 Loss_G: 0.005649 Loss_D_real: -0.019220 Loss_D_fake 0.016416
[233/5000][70/535][23702] Loss_D: -0.035559 Loss_G: 0.012720 Loss_D_real: -0.021834 Loss_D_fake 0.013725
[233/5000][75/535][23703] Loss_D: -0.034357 Loss_G: 0.017679 Loss_D_real: -0.024834 Loss_D_fake 0.009522
[233/5000][80/535][23704] Loss_D: -0.034909 Loss_G: -0.002015 Loss_D_real: -0.015936 Loss_D_fake 0.018973
[233/5000][85/535][23705] Loss_D: -0.033573 Loss_G: 0.040437 Loss_D_real: -0.032240 Loss_D_fake 0.001334
[233/5000][90/535][23706] Loss_D: -0.033059 Loss_G: -0.002089 Loss_D_real: -0.006970 Loss_D_fake 0.026088
[233/5000][95/535][23707] Loss_D: -0.033733 Loss_G: 0.033093 Loss_D_real: -0.038932 Loss_D_fake -0.005199
[233/5000][100/535][23708] Loss_D: -0.035526 Loss_G: 0.008685 Loss_D_real: -0.014983 Loss_D_fake 0.020543
[233/5000][105/535][23709] Loss_D: -0.035331 Loss_G: 0.000261 Loss_D_real: -0.019714 Loss_D_fake 0.015618
[233/5000][110/535][23710] Loss_D: -0.033773 Loss_G: 0.036281 Loss_D_real: -0.046869 Loss_D_fake -0.013096
[233/5000][115/535][23711] Loss_D: -0.036515 Loss_G: 0.008021 Loss_D_real: -0.015564 Loss_D_fake 0.020951
[233/5000][120/535][23712] Loss_D: -0.036155 Loss_G: 0.013846 Loss_D_real: -0.022603 Loss_D_fake 0.013552
[233/5000][125/535][23713] Loss_D: -0.036327 Loss_G: 0.016936 Loss_D_real: -0.019563 Loss_D_fake 0.016764
[233/5000][130/535][23714] Loss_D: -0.036602 Loss_G: 0.012943 Loss_D_real: -0.019178 Loss_D_fake 0.017424
[233/5000][135/535][23715] Loss_D: -0.036229 Loss_G: 0.027045 Loss_D_real: -0.037727 Loss_D_fake -0.001497
[233/5000][140/535][23716] Loss_D: -0.036577 Loss_G: 0.015512 Loss_D_real: -0.019459 Loss_D_fake 0.017119
[233/5000][145/535][23717] Loss_D: -0.035557 Loss_G: 0.008508 Loss_D_real: -0.015277 Loss_D_fake 0.020279
[233/5000][150/535][23718] Loss_D: -0.036721 Loss_G: 0.009671 Loss_D_real: -0.020998 Loss_D_fake 0.015723
[233/5000][155/535][23719] Loss_D: -0.035087 Loss_G: 0.047120 Loss_D_real: -0.045311 Loss_D_fake -0.010225
[233/5000][160/535][23720] Loss_D: -0.032758 Loss_G: 0.003586 Loss_D_real: -0.003730 Loss_D_fake 0.029028
[233/5000][165/535][23721] Loss_D: -0.034435 Loss_G: 0.025295 Loss_D_real: -0.033668 Loss_D_fake 0.000766
[233/5000][170/535][23722] Loss_D: -0.035242 Loss_G: 0.012162 Loss_D_real: -0.023909 Loss_D_fake 0.011333
[233/5000][175/535][23723] Loss_D: -0.034563 Loss_G: 0.037239 Loss_D_real: -0.036353 Loss_D_fake -0.001789
[233/5000][180/535][23724] Loss_D: -0.034849 Loss_G: -0.006674 Loss_D_real: -0.011740 Loss_D_fake 0.023109
[233/5000][185/535][23725] Loss_D: -0.035250 Loss_G: 0.029561 Loss_D_real: -0.025418 Loss_D_fake 0.009832
[233/5000][190/535][23726] Loss_D: -0.035742 Loss_G: -0.011922 Loss_D_real: -0.009043 Loss_D_fake 0.026699
[233/5000][195/535][23727] Loss_D: -0.035324 Loss_G: 0.029511 Loss_D_real: -0.035850 Loss_D_fake -0.000526
[233/5000][200/535][23728] Loss_D: -0.034970 Loss_G: 0.002021 Loss_D_real: -0.016938 Loss_D_fake 0.018031
[233/5000][205/535][23729] Loss_D: -0.036327 Loss_G: 0.014817 Loss_D_real: -0.032378 Loss_D_fake 0.003949
[233/5000][210/535][23730] Loss_D: -0.035969 Loss_G: 0.015668 Loss_D_real: -0.019191 Loss_D_fake 0.016778
[233/5000][215/535][23731] Loss_D: -0.036453 Loss_G: 0.038121 Loss_D_real: -0.037488 Loss_D_fake -0.001035
[233/5000][220/535][23732] Loss_D: -0.035844 Loss_G: 0.017942 Loss_D_real: -0.021565 Loss_D_fake 0.014279
[233/5000][225/535][23733] Loss_D: -0.035499 Loss_G: 0.001782 Loss_D_real: -0.011621 Loss_D_fake 0.023878
[233/5000][230/535][23734] Loss_D: -0.035408 Loss_G: 0.030704 Loss_D_real: -0.036154 Loss_D_fake -0.000746
[233/5000][235/535][23735] Loss_D: -0.035467 Loss_G: 0.000371 Loss_D_real: -0.007381 Loss_D_fake 0.028086
[233/5000][240/535][23736] Loss_D: -0.035359 Loss_G: -0.006610 Loss_D_real: -0.013166 Loss_D_fake 0.022193
[233/5000][245/535][23737] Loss_D: -0.036271 Loss_G: 0.022789 Loss_D_real: -0.028365 Loss_D_fake 0.007905
[233/5000][250/535][23738] Loss_D: -0.035347 Loss_G: 0.034698 Loss_D_real: -0.029943 Loss_D_fake 0.005404
[233/5000][255/535][23739] Loss_D: -0.035670 Loss_G: 0.017999 Loss_D_real: -0.026377 Loss_D_fake 0.009293
[233/5000][260/535][23740] Loss_D: -0.036959 Loss_G: 0.004336 Loss_D_real: -0.013864 Loss_D_fake 0.023095
[233/5000][265/535][23741] Loss_D: -0.035455 Loss_G: 0.020289 Loss_D_real: -0.031488 Loss_D_fake 0.003967
[233/5000][270/535][23742] Loss_D: -0.034040 Loss_G: 0.004349 Loss_D_real: -0.013566 Loss_D_fake 0.020475
[233/5000][275/535][23743] Loss_D: -0.036727 Loss_G: 0.024754 Loss_D_real: -0.031437 Loss_D_fake 0.005290
[233/5000][280/535][23744] Loss_D: -0.036116 Loss_G: -0.011147 Loss_D_real: -0.011555 Loss_D_fake 0.024561
[233/5000][285/535][23745] Loss_D: -0.032429 Loss_G: 0.043393 Loss_D_real: -0.046114 Loss_D_fake -0.013685
[233/5000][290/535][23746] Loss_D: -0.034393 Loss_G: -0.000736 Loss_D_real: -0.013250 Loss_D_fake 0.021144
[233/5000][295/535][23747] Loss_D: -0.033560 Loss_G: 0.016635 Loss_D_real: -0.023710 Loss_D_fake 0.009851
[233/5000][300/535][23748] Loss_D: -0.034562 Loss_G: -0.003032 Loss_D_real: -0.009565 Loss_D_fake 0.024996
[233/5000][305/535][23749] Loss_D: -0.035380 Loss_G: 0.018734 Loss_D_real: -0.019443 Loss_D_fake 0.015937
[233/5000][310/535][23750] Loss_D: -0.034399 Loss_G: 0.004719 Loss_D_real: -0.008124 Loss_D_fake 0.026274
[233/5000][315/535][23751] Loss_D: -0.034220 Loss_G: 0.038673 Loss_D_real: -0.033968 Loss_D_fake 0.000253
[233/5000][320/535][23752] Loss_D: -0.036156 Loss_G: 0.005960 Loss_D_real: -0.008626 Loss_D_fake 0.027530
[233/5000][325/535][23753] Loss_D: -0.033556 Loss_G: 0.010333 Loss_D_real: -0.024378 Loss_D_fake 0.009178
[233/5000][330/535][23754] Loss_D: -0.033578 Loss_G: -0.009161 Loss_D_real: -0.000886 Loss_D_fake 0.032692
[233/5000][335/535][23755] Loss_D: -0.034736 Loss_G: 0.029888 Loss_D_real: -0.038863 Loss_D_fake -0.004127
[233/5000][340/535][23756] Loss_D: -0.034914 Loss_G: 0.009902 Loss_D_real: -0.020913 Loss_D_fake 0.014001
[233/5000][345/535][23757] Loss_D: -0.034585 Loss_G: 0.009763 Loss_D_real: -0.020783 Loss_D_fake 0.013802
[233/5000][350/535][23758] Loss_D: -0.036249 Loss_G: 0.021943 Loss_D_real: -0.027669 Loss_D_fake 0.008580
[233/5000][355/535][23759] Loss_D: -0.035050 Loss_G: 0.038702 Loss_D_real: -0.031948 Loss_D_fake 0.003102
[233/5000][360/535][23760] Loss_D: -0.035459 Loss_G: 0.016011 Loss_D_real: -0.017729 Loss_D_fake 0.017730
[233/5000][365/535][23761] Loss_D: -0.035376 Loss_G: 0.022570 Loss_D_real: -0.028428 Loss_D_fake 0.006948
[233/5000][370/535][23762] Loss_D: -0.033408 Loss_G: -0.009409 Loss_D_real: 0.002213 Loss_D_fake 0.035621
[233/5000][375/535][23763] Loss_D: -0.035071 Loss_G: 0.020624 Loss_D_real: -0.023988 Loss_D_fake 0.011083
[233/5000][380/535][23764] Loss_D: -0.037218 Loss_G: 0.004916 Loss_D_real: -0.022824 Loss_D_fake 0.014394
[233/5000][385/535][23765] Loss_D: -0.035449 Loss_G: 0.025311 Loss_D_real: -0.033830 Loss_D_fake 0.001619
[233/5000][390/535][23766] Loss_D: -0.035821 Loss_G: 0.009678 Loss_D_real: -0.021894 Loss_D_fake 0.013927
[233/5000][395/535][23767] Loss_D: -0.036672 Loss_G: 0.004171 Loss_D_real: -0.012791 Loss_D_fake 0.023882
[233/5000][400/535][23768] Loss_D: -0.034682 Loss_G: 0.036038 Loss_D_real: -0.028760 Loss_D_fake 0.005922
[233/5000][405/535][23769] Loss_D: -0.035221 Loss_G: 0.001977 Loss_D_real: -0.015105 Loss_D_fake 0.020116
[233/5000][410/535][23770] Loss_D: -0.035754 Loss_G: 0.022279 Loss_D_real: -0.034997 Loss_D_fake 0.000757
[233/5000][415/535][23771] Loss_D: -0.034216 Loss_G: 0.009133 Loss_D_real: -0.016033 Loss_D_fake 0.018183
[233/5000][420/535][23772] Loss_D: -0.035907 Loss_G: 0.012887 Loss_D_real: -0.021935 Loss_D_fake 0.013972
[233/5000][425/535][23773] Loss_D: -0.035657 Loss_G: 0.045116 Loss_D_real: -0.042265 Loss_D_fake -0.006608
[233/5000][430/535][23774] Loss_D: -0.034650 Loss_G: 0.004921 Loss_D_real: -0.010303 Loss_D_fake 0.024346
[233/5000][435/535][23775] Loss_D: -0.035030 Loss_G: 0.021951 Loss_D_real: -0.024108 Loss_D_fake 0.010922
[233/5000][440/535][23776] Loss_D: -0.034983 Loss_G: 0.032415 Loss_D_real: -0.032721 Loss_D_fake 0.002262
[233/5000][445/535][23777] Loss_D: -0.032415 Loss_G: 0.049132 Loss_D_real: -0.050082 Loss_D_fake -0.017667
[233/5000][450/535][23778] Loss_D: -0.033672 Loss_G: 0.006054 Loss_D_real: -0.009921 Loss_D_fake 0.023751
[233/5000][455/535][23779] Loss_D: -0.035739 Loss_G: 0.015801 Loss_D_real: -0.030212 Loss_D_fake 0.005528
[233/5000][460/535][23780] Loss_D: -0.034117 Loss_G: 0.036232 Loss_D_real: -0.041863 Loss_D_fake -0.007746
[233/5000][465/535][23781] Loss_D: -0.035179 Loss_G: -0.012681 Loss_D_real: -0.005545 Loss_D_fake 0.029635
[233/5000][470/535][23782] Loss_D: -0.034374 Loss_G: 0.026621 Loss_D_real: -0.036327 Loss_D_fake -0.001953
[233/5000][475/535][23783] Loss_D: -0.036257 Loss_G: 0.019391 Loss_D_real: -0.022040 Loss_D_fake 0.014217
[233/5000][480/535][23784] Loss_D: -0.036173 Loss_G: 0.006243 Loss_D_real: -0.017371 Loss_D_fake 0.018803
[233/5000][485/535][23785] Loss_D: -0.034514 Loss_G: 0.038838 Loss_D_real: -0.040033 Loss_D_fake -0.005519
[233/5000][490/535][23786] Loss_D: -0.036669 Loss_G: 0.012840 Loss_D_real: -0.013732 Loss_D_fake 0.022936
[233/5000][495/535][23787] Loss_D: -0.033258 Loss_G: 0.035559 Loss_D_real: -0.034657 Loss_D_fake -0.001399
[233/5000][500/535][23788] Loss_D: -0.034844 Loss_G: -0.002007 Loss_D_real: -0.008004 Loss_D_fake 0.026841
[233/5000][505/535][23789] Loss_D: -0.035256 Loss_G: 0.024724 Loss_D_real: -0.035062 Loss_D_fake 0.000193
[233/5000][510/535][23790] Loss_D: -0.035837 Loss_G: 0.023094 Loss_D_real: -0.022187 Loss_D_fake 0.013649
[233/5000][515/535][23791] Loss_D: -0.035292 Loss_G: 0.009614 Loss_D_real: -0.016007 Loss_D_fake 0.019285
[233/5000][520/535][23792] Loss_D: -0.036630 Loss_G: 0.019828 Loss_D_real: -0.031581 Loss_D_fake 0.005049
[233/5000][525/535][23793] Loss_D: -0.035843 Loss_G: 0.013354 Loss_D_real: -0.021177 Loss_D_fake 0.014667
[233/5000][530/535][23794] Loss_D: -0.036842 Loss_G: -0.006575 Loss_D_real: -0.010648 Loss_D_fake 0.026194
[233/5000][535/535][23795] Loss_D: -0.039661 Loss_G: 0.011622 Loss_D_real: -0.037687 Loss_D_fake 0.001974
[234/5000][5/535][23796] Loss_D: -0.035556 Loss_G: 0.037873 Loss_D_real: -0.046007 Loss_D_fake -0.010451
[234/5000][10/535][23797] Loss_D: -0.034695 Loss_G: -0.005629 Loss_D_real: -0.006233 Loss_D_fake 0.028463
[234/5000][15/535][23798] Loss_D: -0.034137 Loss_G: 0.006964 Loss_D_real: -0.021972 Loss_D_fake 0.012165
[234/5000][20/535][23799] Loss_D: -0.033597 Loss_G: 0.022815 Loss_D_real: -0.024183 Loss_D_fake 0.009414
[234/5000][25/535][23800] Loss_D: -0.032370 Loss_G: -0.012478 Loss_D_real: 0.005615 Loss_D_fake 0.037985
[234/5000][30/535][23801] Loss_D: -0.034818 Loss_G: 0.021639 Loss_D_real: -0.027587 Loss_D_fake 0.007231
[234/5000][35/535][23802] Loss_D: -0.035717 Loss_G: 0.015401 Loss_D_real: -0.019188 Loss_D_fake 0.016529
[234/5000][40/535][23803] Loss_D: -0.037901 Loss_G: 0.021691 Loss_D_real: -0.030546 Loss_D_fake 0.007355
[234/5000][45/535][23804] Loss_D: -0.034705 Loss_G: 0.029501 Loss_D_real: -0.034848 Loss_D_fake -0.000143
[234/5000][50/535][23805] Loss_D: -0.035142 Loss_G: -0.010775 Loss_D_real: -0.005636 Loss_D_fake 0.029506
[234/5000][55/535][23806] Loss_D: -0.035669 Loss_G: 0.009207 Loss_D_real: -0.015129 Loss_D_fake 0.020540
[234/5000][60/535][23807] Loss_D: -0.035614 Loss_G: 0.015143 Loss_D_real: -0.025478 Loss_D_fake 0.010136
[234/5000][65/535][23808] Loss_D: -0.034561 Loss_G: 0.028006 Loss_D_real: -0.034649 Loss_D_fake -0.000088
[234/5000][70/535][23809] Loss_D: -0.036232 Loss_G: 0.008066 Loss_D_real: -0.014117 Loss_D_fake 0.022115
[234/5000][75/535][23810] Loss_D: -0.035007 Loss_G: -0.000557 Loss_D_real: -0.011685 Loss_D_fake 0.023323
[234/5000][80/535][23811] Loss_D: -0.035415 Loss_G: 0.019819 Loss_D_real: -0.029461 Loss_D_fake 0.005954
[234/5000][85/535][23812] Loss_D: -0.034446 Loss_G: 0.029804 Loss_D_real: -0.034377 Loss_D_fake 0.000068
[234/5000][90/535][23813] Loss_D: -0.034457 Loss_G: 0.018866 Loss_D_real: -0.026524 Loss_D_fake 0.007933
[234/5000][95/535][23814] Loss_D: -0.035857 Loss_G: 0.013246 Loss_D_real: -0.019166 Loss_D_fake 0.016691
[234/5000][100/535][23815] Loss_D: -0.035873 Loss_G: 0.017298 Loss_D_real: -0.030317 Loss_D_fake 0.005556
[234/5000][105/535][23816] Loss_D: -0.035045 Loss_G: 0.015902 Loss_D_real: -0.022843 Loss_D_fake 0.012203
[234/5000][110/535][23817] Loss_D: -0.035254 Loss_G: 0.008296 Loss_D_real: -0.016637 Loss_D_fake 0.018617
[234/5000][115/535][23818] Loss_D: -0.036594 Loss_G: 0.031770 Loss_D_real: -0.027543 Loss_D_fake 0.009051
[234/5000][120/535][23819] Loss_D: -0.035315 Loss_G: 0.015816 Loss_D_real: -0.023713 Loss_D_fake 0.011602
[234/5000][125/535][23820] Loss_D: -0.032480 Loss_G: -0.002902 Loss_D_real: -0.010968 Loss_D_fake 0.021512
[234/5000][130/535][23821] Loss_D: -0.034567 Loss_G: 0.037650 Loss_D_real: -0.045959 Loss_D_fake -0.011392
[234/5000][135/535][23822] Loss_D: -0.035617 Loss_G: 0.016842 Loss_D_real: -0.023071 Loss_D_fake 0.012545
[234/5000][140/535][23823] Loss_D: -0.035542 Loss_G: 0.001900 Loss_D_real: -0.012611 Loss_D_fake 0.022931
[234/5000][145/535][23824] Loss_D: -0.033635 Loss_G: 0.026692 Loss_D_real: -0.038515 Loss_D_fake -0.004880
[234/5000][150/535][23825] Loss_D: -0.030786 Loss_G: 0.038839 Loss_D_real: -0.027705 Loss_D_fake 0.003080
[234/5000][155/535][23826] Loss_D: -0.034836 Loss_G: 0.018251 Loss_D_real: -0.024105 Loss_D_fake 0.010731
[234/5000][160/535][23827] Loss_D: -0.034222 Loss_G: 0.038817 Loss_D_real: -0.044219 Loss_D_fake -0.009997
[234/5000][165/535][23828] Loss_D: -0.035080 Loss_G: -0.007913 Loss_D_real: -0.007712 Loss_D_fake 0.027368
[234/5000][170/535][23829] Loss_D: -0.031855 Loss_G: 0.037171 Loss_D_real: -0.037699 Loss_D_fake -0.005844
[234/5000][175/535][23830] Loss_D: -0.034590 Loss_G: -0.002186 Loss_D_real: -0.015014 Loss_D_fake 0.019576
[234/5000][180/535][23831] Loss_D: -0.035179 Loss_G: 0.008550 Loss_D_real: -0.026216 Loss_D_fake 0.008963
[234/5000][185/535][23832] Loss_D: -0.036227 Loss_G: 0.006860 Loss_D_real: -0.017629 Loss_D_fake 0.018598
[234/5000][190/535][23833] Loss_D: -0.034389 Loss_G: 0.026309 Loss_D_real: -0.028186 Loss_D_fake 0.006203
[234/5000][195/535][23834] Loss_D: -0.036231 Loss_G: 0.015216 Loss_D_real: -0.020950 Loss_D_fake 0.015281
[234/5000][200/535][23835] Loss_D: -0.035711 Loss_G: 0.015977 Loss_D_real: -0.022459 Loss_D_fake 0.013251
[234/5000][205/535][23836] Loss_D: -0.035537 Loss_G: 0.033371 Loss_D_real: -0.043489 Loss_D_fake -0.007952
[234/5000][210/535][23837] Loss_D: -0.034896 Loss_G: 0.023711 Loss_D_real: -0.021352 Loss_D_fake 0.013544
[234/5000][215/535][23838] Loss_D: -0.036786 Loss_G: 0.000284 Loss_D_real: -0.021656 Loss_D_fake 0.015130
[234/5000][220/535][23839] Loss_D: -0.034616 Loss_G: 0.035912 Loss_D_real: -0.034052 Loss_D_fake 0.000565
[234/5000][225/535][23840] Loss_D: -0.036032 Loss_G: 0.003670 Loss_D_real: -0.012428 Loss_D_fake 0.023604
[234/5000][230/535][23841] Loss_D: -0.035109 Loss_G: -0.014938 Loss_D_real: -0.004062 Loss_D_fake 0.031047
[234/5000][235/535][23842] Loss_D: -0.033574 Loss_G: 0.032262 Loss_D_real: -0.042182 Loss_D_fake -0.008608
[234/5000][240/535][23843] Loss_D: -0.035025 Loss_G: 0.008044 Loss_D_real: -0.010056 Loss_D_fake 0.024968
[234/5000][245/535][23844] Loss_D: -0.034439 Loss_G: 0.004255 Loss_D_real: -0.019026 Loss_D_fake 0.015412
[234/5000][250/535][23845] Loss_D: -0.035100 Loss_G: 0.026505 Loss_D_real: -0.031637 Loss_D_fake 0.003464
[234/5000][255/535][23846] Loss_D: -0.036244 Loss_G: 0.011017 Loss_D_real: -0.024348 Loss_D_fake 0.011897
[234/5000][260/535][23847] Loss_D: -0.036822 Loss_G: 0.006401 Loss_D_real: -0.016804 Loss_D_fake 0.020018
[234/5000][265/535][23848] Loss_D: -0.033997 Loss_G: -0.012158 Loss_D_real: 0.000862 Loss_D_fake 0.034859
[234/5000][270/535][23849] Loss_D: -0.035987 Loss_G: 0.008165 Loss_D_real: -0.018861 Loss_D_fake 0.017126
[234/5000][275/535][23850] Loss_D: -0.036020 Loss_G: 0.028702 Loss_D_real: -0.036806 Loss_D_fake -0.000785
[234/5000][280/535][23851] Loss_D: -0.035313 Loss_G: 0.026423 Loss_D_real: -0.029312 Loss_D_fake 0.006001
[234/5000][285/535][23852] Loss_D: -0.034610 Loss_G: -0.002022 Loss_D_real: -0.002529 Loss_D_fake 0.032081
[234/5000][290/535][23853] Loss_D: -0.035805 Loss_G: 0.032599 Loss_D_real: -0.030042 Loss_D_fake 0.005763
[234/5000][295/535][23854] Loss_D: -0.035570 Loss_G: -0.006657 Loss_D_real: -0.006492 Loss_D_fake 0.029078
[234/5000][300/535][23855] Loss_D: -0.034487 Loss_G: 0.020532 Loss_D_real: -0.040059 Loss_D_fake -0.005573
[234/5000][305/535][23856] Loss_D: -0.035776 Loss_G: 0.033315 Loss_D_real: -0.034764 Loss_D_fake 0.001011
[234/5000][310/535][23857] Loss_D: -0.034221 Loss_G: 0.000891 Loss_D_real: -0.016014 Loss_D_fake 0.018207
[234/5000][315/535][23858] Loss_D: -0.035428 Loss_G: 0.005213 Loss_D_real: -0.021508 Loss_D_fake 0.013920
[234/5000][320/535][23859] Loss_D: -0.034394 Loss_G: 0.032296 Loss_D_real: -0.030531 Loss_D_fake 0.003863
[234/5000][325/535][23860] Loss_D: -0.034940 Loss_G: -0.000085 Loss_D_real: -0.012398 Loss_D_fake 0.022542
[234/5000][330/535][23861] Loss_D: -0.034433 Loss_G: 0.034256 Loss_D_real: -0.031867 Loss_D_fake 0.002565
[234/5000][335/535][23862] Loss_D: -0.035763 Loss_G: 0.004739 Loss_D_real: -0.012722 Loss_D_fake 0.023041
[234/5000][340/535][23863] Loss_D: -0.033293 Loss_G: 0.025012 Loss_D_real: -0.031104 Loss_D_fake 0.002189
[234/5000][345/535][23864] Loss_D: -0.036775 Loss_G: 0.021294 Loss_D_real: -0.034296 Loss_D_fake 0.002479
[234/5000][350/535][23865] Loss_D: -0.036043 Loss_G: 0.017928 Loss_D_real: -0.023318 Loss_D_fake 0.012725
[234/5000][355/535][23866] Loss_D: -0.036118 Loss_G: 0.011295 Loss_D_real: -0.021255 Loss_D_fake 0.014863
[234/5000][360/535][23867] Loss_D: -0.036301 Loss_G: 0.002327 Loss_D_real: -0.014950 Loss_D_fake 0.021351
[234/5000][365/535][23868] Loss_D: -0.032257 Loss_G: 0.037158 Loss_D_real: -0.049010 Loss_D_fake -0.016753
[234/5000][370/535][23869] Loss_D: -0.034948 Loss_G: 0.007912 Loss_D_real: -0.017399 Loss_D_fake 0.017549
[234/5000][375/535][23870] Loss_D: -0.035127 Loss_G: 0.025361 Loss_D_real: -0.029168 Loss_D_fake 0.005959
[234/5000][380/535][23871] Loss_D: -0.035919 Loss_G: 0.011182 Loss_D_real: -0.018743 Loss_D_fake 0.017176
[234/5000][385/535][23872] Loss_D: -0.035904 Loss_G: -0.001059 Loss_D_real: -0.019925 Loss_D_fake 0.015979
[234/5000][390/535][23873] Loss_D: -0.034274 Loss_G: 0.028872 Loss_D_real: -0.032049 Loss_D_fake 0.002225
[234/5000][395/535][23874] Loss_D: -0.035594 Loss_G: 0.019466 Loss_D_real: -0.021002 Loss_D_fake 0.014592
[234/5000][400/535][23875] Loss_D: -0.035240 Loss_G: -0.012901 Loss_D_real: -0.005943 Loss_D_fake 0.029298
[234/5000][405/535][23876] Loss_D: -0.034251 Loss_G: 0.021245 Loss_D_real: -0.034191 Loss_D_fake 0.000060
[234/5000][410/535][23877] Loss_D: -0.034707 Loss_G: 0.017563 Loss_D_real: -0.027462 Loss_D_fake 0.007245
[234/5000][415/535][23878] Loss_D: -0.035376 Loss_G: 0.021915 Loss_D_real: -0.026437 Loss_D_fake 0.008939
[234/5000][420/535][23879] Loss_D: -0.034299 Loss_G: 0.015157 Loss_D_real: -0.021295 Loss_D_fake 0.013005
[234/5000][425/535][23880] Loss_D: -0.035700 Loss_G: 0.015239 Loss_D_real: -0.018367 Loss_D_fake 0.017333
[234/5000][430/535][23881] Loss_D: -0.033742 Loss_G: 0.019777 Loss_D_real: -0.021142 Loss_D_fake 0.012601
[234/5000][435/535][23882] Loss_D: -0.034426 Loss_G: 0.023373 Loss_D_real: -0.025405 Loss_D_fake 0.009021
[234/5000][440/535][23883] Loss_D: -0.037671 Loss_G: 0.002106 Loss_D_real: -0.016330 Loss_D_fake 0.021341
[234/5000][445/535][23884] Loss_D: -0.031060 Loss_G: 0.037577 Loss_D_real: -0.047588 Loss_D_fake -0.016528
[234/5000][450/535][23885] Loss_D: -0.035037 Loss_G: 0.010330 Loss_D_real: -0.024618 Loss_D_fake 0.010419
[234/5000][455/535][23886] Loss_D: -0.035371 Loss_G: 0.037852 Loss_D_real: -0.039033 Loss_D_fake -0.003661
[234/5000][460/535][23887] Loss_D: -0.033380 Loss_G: 0.003394 Loss_D_real: -0.011409 Loss_D_fake 0.021971
[234/5000][465/535][23888] Loss_D: -0.032118 Loss_G: 0.036314 Loss_D_real: -0.032975 Loss_D_fake -0.000857
[234/5000][470/535][23889] Loss_D: -0.034717 Loss_G: 0.008813 Loss_D_real: -0.017463 Loss_D_fake 0.017254
[234/5000][475/535][23890] Loss_D: -0.035984 Loss_G: 0.021604 Loss_D_real: -0.024403 Loss_D_fake 0.011581
[234/5000][480/535][23891] Loss_D: -0.032990 Loss_G: -0.014662 Loss_D_real: 0.001844 Loss_D_fake 0.034834
[234/5000][485/535][23892] Loss_D: -0.036215 Loss_G: 0.020329 Loss_D_real: -0.027319 Loss_D_fake 0.008897
[234/5000][490/535][23893] Loss_D: -0.036451 Loss_G: 0.023914 Loss_D_real: -0.026099 Loss_D_fake 0.010352
[234/5000][495/535][23894] Loss_D: -0.035279 Loss_G: 0.029697 Loss_D_real: -0.036074 Loss_D_fake -0.000795
[234/5000][500/535][23895] Loss_D: -0.036287 Loss_G: 0.006251 Loss_D_real: -0.013810 Loss_D_fake 0.022477
[234/5000][505/535][23896] Loss_D: -0.035879 Loss_G: 0.034240 Loss_D_real: -0.037838 Loss_D_fake -0.001959
[234/5000][510/535][23897] Loss_D: -0.034992 Loss_G: -0.009328 Loss_D_real: -0.002217 Loss_D_fake 0.032775
[234/5000][515/535][23898] Loss_D: -0.034961 Loss_G: 0.026241 Loss_D_real: -0.030412 Loss_D_fake 0.004549
[234/5000][520/535][23899] Loss_D: -0.033978 Loss_G: 0.015220 Loss_D_real: -0.020243 Loss_D_fake 0.013735
[234/5000][525/535][23900] Loss_D: -0.035699 Loss_G: 0.002189 Loss_D_real: -0.014650 Loss_D_fake 0.021049
[234/5000][530/535][23901] Loss_D: -0.036383 Loss_G: 0.033465 Loss_D_real: -0.029184 Loss_D_fake 0.007199
[234/5000][535/535][23902] Loss_D: -0.033359 Loss_G: 0.034036 Loss_D_real: -0.039915 Loss_D_fake -0.006556
[235/5000][5/535][23903] Loss_D: -0.036076 Loss_G: 0.033825 Loss_D_real: -0.035545 Loss_D_fake 0.000531
[235/5000][10/535][23904] Loss_D: -0.033888 Loss_G: 0.002805 Loss_D_real: -0.006748 Loss_D_fake 0.027140
[235/5000][15/535][23905] Loss_D: -0.035530 Loss_G: 0.008331 Loss_D_real: -0.011822 Loss_D_fake 0.023708
[235/5000][20/535][23906] Loss_D: -0.034272 Loss_G: 0.023241 Loss_D_real: -0.028770 Loss_D_fake 0.005502
[235/5000][25/535][23907] Loss_D: -0.034401 Loss_G: 0.010523 Loss_D_real: -0.020723 Loss_D_fake 0.013678
[235/5000][30/535][23908] Loss_D: -0.035209 Loss_G: 0.030963 Loss_D_real: -0.029843 Loss_D_fake 0.005367
[235/5000][35/535][23909] Loss_D: -0.035293 Loss_G: 0.029859 Loss_D_real: -0.035843 Loss_D_fake -0.000550
[235/5000][40/535][23910] Loss_D: -0.035798 Loss_G: 0.029664 Loss_D_real: -0.033267 Loss_D_fake 0.002531
[235/5000][45/535][23911] Loss_D: -0.035574 Loss_G: -0.009494 Loss_D_real: -0.003994 Loss_D_fake 0.031580
[235/5000][50/535][23912] Loss_D: -0.033333 Loss_G: 0.029883 Loss_D_real: -0.032302 Loss_D_fake 0.001031
[235/5000][55/535][23913] Loss_D: -0.032564 Loss_G: -0.011550 Loss_D_real: 0.002911 Loss_D_fake 0.035475
[235/5000][60/535][23914] Loss_D: -0.034820 Loss_G: 0.014934 Loss_D_real: -0.026140 Loss_D_fake 0.008679
[235/5000][65/535][23915] Loss_D: -0.036630 Loss_G: 0.007286 Loss_D_real: -0.021597 Loss_D_fake 0.015033
[235/5000][70/535][23916] Loss_D: -0.036303 Loss_G: 0.029872 Loss_D_real: -0.030813 Loss_D_fake 0.005490
[235/5000][75/535][23917] Loss_D: -0.034951 Loss_G: 0.018949 Loss_D_real: -0.025532 Loss_D_fake 0.009418
[235/5000][80/535][23918] Loss_D: -0.036779 Loss_G: 0.016961 Loss_D_real: -0.020103 Loss_D_fake 0.016676
[235/5000][85/535][23919] Loss_D: -0.034348 Loss_G: -0.001912 Loss_D_real: -0.006951 Loss_D_fake 0.027396
[235/5000][90/535][23920] Loss_D: -0.034985 Loss_G: 0.033999 Loss_D_real: -0.040308 Loss_D_fake -0.005323
[235/5000][95/535][23921] Loss_D: -0.035112 Loss_G: 0.031488 Loss_D_real: -0.024266 Loss_D_fake 0.010846
[235/5000][100/535][23922] Loss_D: -0.035036 Loss_G: 0.016702 Loss_D_real: -0.030873 Loss_D_fake 0.004163
[235/5000][105/535][23923] Loss_D: -0.036182 Loss_G: 0.031199 Loss_D_real: -0.031517 Loss_D_fake 0.004665
[235/5000][110/535][23924] Loss_D: -0.036281 Loss_G: -0.004001 Loss_D_real: -0.010284 Loss_D_fake 0.025997
[235/5000][115/535][23925] Loss_D: -0.031816 Loss_G: 0.042162 Loss_D_real: -0.044071 Loss_D_fake -0.012256
[235/5000][120/535][23926] Loss_D: -0.036442 Loss_G: 0.011454 Loss_D_real: -0.022211 Loss_D_fake 0.014231
[235/5000][125/535][23927] Loss_D: -0.035007 Loss_G: 0.009571 Loss_D_real: -0.022838 Loss_D_fake 0.012169
[235/5000][130/535][23928] Loss_D: -0.035574 Loss_G: 0.024124 Loss_D_real: -0.026212 Loss_D_fake 0.009362
[235/5000][135/535][23929] Loss_D: -0.034815 Loss_G: 0.026409 Loss_D_real: -0.030365 Loss_D_fake 0.004451
[235/5000][140/535][23930] Loss_D: -0.036438 Loss_G: -0.000064 Loss_D_real: -0.006224 Loss_D_fake 0.030214
[235/5000][145/535][23931] Loss_D: -0.031824 Loss_G: 0.035591 Loss_D_real: -0.049856 Loss_D_fake -0.018032
[235/5000][150/535][23932] Loss_D: -0.036137 Loss_G: 0.029260 Loss_D_real: -0.033298 Loss_D_fake 0.002839
[235/5000][155/535][23933] Loss_D: -0.035058 Loss_G: 0.026116 Loss_D_real: -0.028590 Loss_D_fake 0.006468
[235/5000][160/535][23934] Loss_D: -0.035843 Loss_G: 0.023784 Loss_D_real: -0.032688 Loss_D_fake 0.003155
[235/5000][165/535][23935] Loss_D: -0.034730 Loss_G: 0.003440 Loss_D_real: -0.009423 Loss_D_fake 0.025308
[235/5000][170/535][23936] Loss_D: -0.033201 Loss_G: 0.036769 Loss_D_real: -0.039686 Loss_D_fake -0.006485
[235/5000][175/535][23937] Loss_D: -0.034873 Loss_G: 0.000766 Loss_D_real: -0.016709 Loss_D_fake 0.018164
[235/5000][180/535][23938] Loss_D: -0.033265 Loss_G: 0.031827 Loss_D_real: -0.039203 Loss_D_fake -0.005939
[235/5000][185/535][23939] Loss_D: -0.033718 Loss_G: 0.014669 Loss_D_real: -0.022675 Loss_D_fake 0.011043
[235/5000][190/535][23940] Loss_D: -0.035478 Loss_G: 0.021433 Loss_D_real: -0.024058 Loss_D_fake 0.011420
[235/5000][195/535][23941] Loss_D: -0.034334 Loss_G: 0.015125 Loss_D_real: -0.022754 Loss_D_fake 0.011580
[235/5000][200/535][23942] Loss_D: -0.036525 Loss_G: 0.017627 Loss_D_real: -0.025651 Loss_D_fake 0.010875
[235/5000][205/535][23943] Loss_D: -0.036203 Loss_G: 0.015848 Loss_D_real: -0.026168 Loss_D_fake 0.010035
[235/5000][210/535][23944] Loss_D: -0.035879 Loss_G: 0.031174 Loss_D_real: -0.034516 Loss_D_fake 0.001363
[235/5000][215/535][23945] Loss_D: -0.032608 Loss_G: -0.007906 Loss_D_real: -0.002105 Loss_D_fake 0.030503
[235/5000][220/535][23946] Loss_D: -0.034953 Loss_G: 0.040025 Loss_D_real: -0.040785 Loss_D_fake -0.005832
[235/5000][225/535][23947] Loss_D: -0.034455 Loss_G: 0.000158 Loss_D_real: -0.009930 Loss_D_fake 0.024526
[235/5000][230/535][23948] Loss_D: -0.035434 Loss_G: 0.031095 Loss_D_real: -0.038987 Loss_D_fake -0.003553
[235/5000][235/535][23949] Loss_D: -0.035737 Loss_G: -0.001454 Loss_D_real: -0.013631 Loss_D_fake 0.022106
[235/5000][240/535][23950] Loss_D: -0.033765 Loss_G: 0.011398 Loss_D_real: -0.026813 Loss_D_fake 0.006952
[235/5000][245/535][23951] Loss_D: -0.034044 Loss_G: 0.018086 Loss_D_real: -0.030773 Loss_D_fake 0.003271
[235/5000][250/535][23952] Loss_D: -0.034210 Loss_G: -0.000260 Loss_D_real: -0.012220 Loss_D_fake 0.021990
[235/5000][255/535][23953] Loss_D: -0.033671 Loss_G: 0.023602 Loss_D_real: -0.026713 Loss_D_fake 0.006958
[235/5000][260/535][23954] Loss_D: -0.033476 Loss_G: 0.029633 Loss_D_real: -0.030518 Loss_D_fake 0.002957
[235/5000][265/535][23955] Loss_D: -0.035134 Loss_G: -0.001529 Loss_D_real: -0.006965 Loss_D_fake 0.028169
[235/5000][270/535][23956] Loss_D: -0.034809 Loss_G: 0.033422 Loss_D_real: -0.031754 Loss_D_fake 0.003055
[235/5000][275/535][23957] Loss_D: -0.035287 Loss_G: -0.006463 Loss_D_real: -0.010020 Loss_D_fake 0.025267
[235/5000][280/535][23958] Loss_D: -0.034882 Loss_G: 0.037552 Loss_D_real: -0.034638 Loss_D_fake 0.000244
[235/5000][285/535][23959] Loss_D: -0.035230 Loss_G: 0.002114 Loss_D_real: -0.010913 Loss_D_fake 0.024317
[235/5000][290/535][23960] Loss_D: -0.035951 Loss_G: 0.020230 Loss_D_real: -0.025642 Loss_D_fake 0.010309
[235/5000][295/535][23961] Loss_D: -0.033762 Loss_G: 0.042498 Loss_D_real: -0.044809 Loss_D_fake -0.011047
[235/5000][300/535][23962] Loss_D: -0.035927 Loss_G: 0.009127 Loss_D_real: -0.018280 Loss_D_fake 0.017646
[235/5000][305/535][23963] Loss_D: -0.035844 Loss_G: 0.035641 Loss_D_real: -0.033952 Loss_D_fake 0.001892
[235/5000][310/535][23964] Loss_D: -0.034946 Loss_G: 0.010202 Loss_D_real: -0.017150 Loss_D_fake 0.017796
[235/5000][315/535][23965] Loss_D: -0.035621 Loss_G: 0.029339 Loss_D_real: -0.031639 Loss_D_fake 0.003982
[235/5000][320/535][23966] Loss_D: -0.035545 Loss_G: 0.014451 Loss_D_real: -0.021031 Loss_D_fake 0.014514
[235/5000][325/535][23967] Loss_D: -0.033838 Loss_G: 0.028569 Loss_D_real: -0.027717 Loss_D_fake 0.006122
[235/5000][330/535][23968] Loss_D: -0.037080 Loss_G: 0.011689 Loss_D_real: -0.022389 Loss_D_fake 0.014691
[235/5000][335/535][23969] Loss_D: -0.033151 Loss_G: 0.039862 Loss_D_real: -0.044128 Loss_D_fake -0.010977
[235/5000][340/535][23970] Loss_D: -0.035956 Loss_G: 0.008479 Loss_D_real: -0.018572 Loss_D_fake 0.017384
[235/5000][345/535][23971] Loss_D: -0.033881 Loss_G: 0.037805 Loss_D_real: -0.042646 Loss_D_fake -0.008765
[235/5000][350/535][23972] Loss_D: -0.035324 Loss_G: 0.003096 Loss_D_real: -0.014619 Loss_D_fake 0.020705
[235/5000][355/535][23973] Loss_D: -0.034715 Loss_G: 0.029633 Loss_D_real: -0.035146 Loss_D_fake -0.000430
[235/5000][360/535][23974] Loss_D: -0.034674 Loss_G: -0.008243 Loss_D_real: -0.001153 Loss_D_fake 0.033521
[235/5000][365/535][23975] Loss_D: -0.033980 Loss_G: 0.021110 Loss_D_real: -0.036291 Loss_D_fake -0.002311
[235/5000][370/535][23976] Loss_D: -0.035209 Loss_G: 0.008339 Loss_D_real: -0.021220 Loss_D_fake 0.013989
[235/5000][375/535][23977] Loss_D: -0.036230 Loss_G: 0.005775 Loss_D_real: -0.023536 Loss_D_fake 0.012694
[235/5000][380/535][23978] Loss_D: -0.034595 Loss_G: 0.020027 Loss_D_real: -0.019193 Loss_D_fake 0.015402
[235/5000][385/535][23979] Loss_D: -0.035935 Loss_G: 0.016129 Loss_D_real: -0.020868 Loss_D_fake 0.015066
[235/5000][390/535][23980] Loss_D: -0.033790 Loss_G: 0.015175 Loss_D_real: -0.033508 Loss_D_fake 0.000282
[235/5000][395/535][23981] Loss_D: -0.035017 Loss_G: 0.014306 Loss_D_real: -0.029733 Loss_D_fake 0.005284
[235/5000][400/535][23982] Loss_D: -0.038089 Loss_G: 0.004037 Loss_D_real: -0.019895 Loss_D_fake 0.018194
[235/5000][405/535][23983] Loss_D: -0.034326 Loss_G: 0.035996 Loss_D_real: -0.043711 Loss_D_fake -0.009385
[235/5000][410/535][23984] Loss_D: -0.037332 Loss_G: 0.016370 Loss_D_real: -0.021466 Loss_D_fake 0.015866
[235/5000][415/535][23985] Loss_D: -0.035639 Loss_G: 0.040060 Loss_D_real: -0.036896 Loss_D_fake -0.001257
[235/5000][420/535][23986] Loss_D: -0.034347 Loss_G: -0.009785 Loss_D_real: -0.007612 Loss_D_fake 0.026735
[235/5000][425/535][23987] Loss_D: -0.035304 Loss_G: 0.033483 Loss_D_real: -0.035806 Loss_D_fake -0.000501
[235/5000][430/535][23988] Loss_D: -0.035646 Loss_G: 0.010878 Loss_D_real: -0.020774 Loss_D_fake 0.014871
[235/5000][435/535][23989] Loss_D: -0.034068 Loss_G: 0.029803 Loss_D_real: -0.036105 Loss_D_fake -0.002037
[235/5000][440/535][23990] Loss_D: -0.036462 Loss_G: 0.012205 Loss_D_real: -0.018906 Loss_D_fake 0.017557
[235/5000][445/535][23991] Loss_D: -0.035675 Loss_G: 0.024679 Loss_D_real: -0.038821 Loss_D_fake -0.003146
[235/5000][450/535][23992] Loss_D: -0.037298 Loss_G: 0.004402 Loss_D_real: -0.014927 Loss_D_fake 0.022372
[235/5000][455/535][23993] Loss_D: -0.035826 Loss_G: 0.025967 Loss_D_real: -0.030012 Loss_D_fake 0.005814
[235/5000][460/535][23994] Loss_D: -0.036284 Loss_G: 0.043765 Loss_D_real: -0.042505 Loss_D_fake -0.006222
[235/5000][465/535][23995] Loss_D: -0.035045 Loss_G: -0.003047 Loss_D_real: -0.011215 Loss_D_fake 0.023830
[235/5000][470/535][23996] Loss_D: -0.034975 Loss_G: 0.034737 Loss_D_real: -0.034512 Loss_D_fake 0.000463
[235/5000][475/535][23997] Loss_D: -0.037093 Loss_G: 0.012371 Loss_D_real: -0.021449 Loss_D_fake 0.015644
[235/5000][480/535][23998] Loss_D: -0.033910 Loss_G: 0.030416 Loss_D_real: -0.039034 Loss_D_fake -0.005124
[235/5000][485/535][23999] Loss_D: -0.034303 Loss_G: -0.003905 Loss_D_real: -0.008528 Loss_D_fake 0.025774
[235/5000][490/535][24000] Loss_D: -0.034557 Loss_G: 0.033286 Loss_D_real: -0.031108 Loss_D_fake 0.003449
[235/5000][535/535][24001] Loss_D: -0.036065 Loss_G: -0.022040 Loss_D_real: 0.007344 Loss_D_fake 0.043409
[236/5000][5/535][24002] Loss_D: -0.035210 Loss_G: 0.018734 Loss_D_real: -0.029996 Loss_D_fake 0.005215
[236/5000][10/535][24003] Loss_D: -0.034726 Loss_G: 0.022530 Loss_D_real: -0.026296 Loss_D_fake 0.008430
[236/5000][15/535][24004] Loss_D: -0.034996 Loss_G: 0.029069 Loss_D_real: -0.031293 Loss_D_fake 0.003703
[236/5000][20/535][24005] Loss_D: -0.035494 Loss_G: 0.029141 Loss_D_real: -0.023677 Loss_D_fake 0.011817
[236/5000][25/535][24006] Loss_D: -0.036066 Loss_G: 0.001036 Loss_D_real: -0.019673 Loss_D_fake 0.016393
[236/5000][30/535][24007] Loss_D: -0.036006 Loss_G: 0.012666 Loss_D_real: -0.023677 Loss_D_fake 0.012329
[236/5000][35/535][24008] Loss_D: -0.035623 Loss_G: 0.026710 Loss_D_real: -0.026456 Loss_D_fake 0.009167
[236/5000][40/535][24009] Loss_D: -0.035650 Loss_G: 0.003818 Loss_D_real: -0.010679 Loss_D_fake 0.024971
[236/5000][45/535][24010] Loss_D: -0.035871 Loss_G: 0.031420 Loss_D_real: -0.037362 Loss_D_fake -0.001491
[236/5000][50/535][24011] Loss_D: -0.035757 Loss_G: -0.009924 Loss_D_real: -0.005762 Loss_D_fake 0.029995
[236/5000][55/535][24012] Loss_D: -0.034775 Loss_G: 0.021256 Loss_D_real: -0.025170 Loss_D_fake 0.009605
[236/5000][60/535][24013] Loss_D: -0.035326 Loss_G: 0.005734 Loss_D_real: -0.014889 Loss_D_fake 0.020437
[236/5000][65/535][24014] Loss_D: -0.034524 Loss_G: 0.030406 Loss_D_real: -0.030903 Loss_D_fake 0.003622
[236/5000][70/535][24015] Loss_D: -0.034317 Loss_G: 0.004600 Loss_D_real: -0.004106 Loss_D_fake 0.030211
[236/5000][75/535][24016] Loss_D: -0.034765 Loss_G: 0.026245 Loss_D_real: -0.019777 Loss_D_fake 0.014988
[236/5000][80/535][24017] Loss_D: -0.035613 Loss_G: 0.022493 Loss_D_real: -0.027728 Loss_D_fake 0.007885
[236/5000][85/535][24018] Loss_D: -0.034233 Loss_G: 0.007724 Loss_D_real: -0.009766 Loss_D_fake 0.024467
[236/5000][90/535][24019] Loss_D: -0.033967 Loss_G: 0.019881 Loss_D_real: -0.026354 Loss_D_fake 0.007614
[236/5000][95/535][24020] Loss_D: -0.035217 Loss_G: 0.036889 Loss_D_real: -0.034320 Loss_D_fake 0.000896
[236/5000][100/535][24021] Loss_D: -0.033952 Loss_G: -0.006487 Loss_D_real: -0.004020 Loss_D_fake 0.029932
[236/5000][105/535][24022] Loss_D: -0.034181 Loss_G: 0.009576 Loss_D_real: -0.028161 Loss_D_fake 0.006019
[236/5000][110/535][24023] Loss_D: -0.034145 Loss_G: 0.023414 Loss_D_real: -0.029778 Loss_D_fake 0.004367
[236/5000][115/535][24024] Loss_D: -0.036491 Loss_G: -0.004771 Loss_D_real: -0.008896 Loss_D_fake 0.027596
[236/5000][120/535][24025] Loss_D: -0.035356 Loss_G: 0.000268 Loss_D_real: -0.011134 Loss_D_fake 0.024223
[236/5000][125/535][24026] Loss_D: -0.035311 Loss_G: 0.023952 Loss_D_real: -0.031622 Loss_D_fake 0.003689
[236/5000][130/535][24027] Loss_D: -0.036574 Loss_G: 0.028477 Loss_D_real: -0.030085 Loss_D_fake 0.006489
[236/5000][135/535][24028] Loss_D: -0.032621 Loss_G: 0.020854 Loss_D_real: -0.019718 Loss_D_fake 0.012903
[236/5000][140/535][24029] Loss_D: -0.033835 Loss_G: -0.010287 Loss_D_real: 0.002827 Loss_D_fake 0.036662
[236/5000][145/535][24030] Loss_D: -0.034907 Loss_G: 0.032517 Loss_D_real: -0.033567 Loss_D_fake 0.001340
[236/5000][150/535][24031] Loss_D: -0.034083 Loss_G: -0.005781 Loss_D_real: -0.003338 Loss_D_fake 0.030745
[236/5000][155/535][24032] Loss_D: -0.033629 Loss_G: 0.028487 Loss_D_real: -0.028196 Loss_D_fake 0.005433
[236/5000][160/535][24033] Loss_D: -0.036474 Loss_G: -0.001602 Loss_D_real: -0.017027 Loss_D_fake 0.019447
[236/5000][165/535][24034] Loss_D: -0.034215 Loss_G: 0.034784 Loss_D_real: -0.031575 Loss_D_fake 0.002639
[236/5000][170/535][24035] Loss_D: -0.034603 Loss_G: 0.011982 Loss_D_real: -0.022077 Loss_D_fake 0.012527
[236/5000][175/535][24036] Loss_D: -0.034188 Loss_G: 0.036060 Loss_D_real: -0.040444 Loss_D_fake -0.006256
[236/5000][180/535][24037] Loss_D: -0.036246 Loss_G: 0.024672 Loss_D_real: -0.030151 Loss_D_fake 0.006095
[236/5000][185/535][24038] Loss_D: -0.033325 Loss_G: 0.013763 Loss_D_real: -0.017806 Loss_D_fake 0.015520
[236/5000][190/535][24039] Loss_D: -0.033877 Loss_G: 0.017882 Loss_D_real: -0.025691 Loss_D_fake 0.008186
[236/5000][195/535][24040] Loss_D: -0.032938 Loss_G: 0.034942 Loss_D_real: -0.039015 Loss_D_fake -0.006077
[236/5000][200/535][24041] Loss_D: -0.035685 Loss_G: 0.005177 Loss_D_real: -0.016379 Loss_D_fake 0.019306
[236/5000][205/535][24042] Loss_D: -0.033457 Loss_G: 0.034079 Loss_D_real: -0.041839 Loss_D_fake -0.008382
[236/5000][210/535][24043] Loss_D: -0.036775 Loss_G: 0.003313 Loss_D_real: -0.012983 Loss_D_fake 0.023792
[236/5000][215/535][24044] Loss_D: -0.033612 Loss_G: 0.033670 Loss_D_real: -0.038183 Loss_D_fake -0.004572
[236/5000][220/535][24045] Loss_D: -0.033277 Loss_G: -0.005138 Loss_D_real: -0.002858 Loss_D_fake 0.030419
[236/5000][225/535][24046] Loss_D: -0.034080 Loss_G: 0.019106 Loss_D_real: -0.023355 Loss_D_fake 0.010725
[236/5000][230/535][24047] Loss_D: -0.034387 Loss_G: 0.023414 Loss_D_real: -0.020295 Loss_D_fake 0.014092
[236/5000][235/535][24048] Loss_D: -0.034188 Loss_G: 0.006373 Loss_D_real: -0.016644 Loss_D_fake 0.017544
[236/5000][240/535][24049] Loss_D: -0.034734 Loss_G: 0.018342 Loss_D_real: -0.029806 Loss_D_fake 0.004928
[236/5000][245/535][24050] Loss_D: -0.035205 Loss_G: 0.002136 Loss_D_real: -0.012196 Loss_D_fake 0.023009
[236/5000][250/535][24051] Loss_D: -0.032771 Loss_G: 0.041400 Loss_D_real: -0.046551 Loss_D_fake -0.013781
[236/5000][255/535][24052] Loss_D: -0.036875 Loss_G: 0.023095 Loss_D_real: -0.024462 Loss_D_fake 0.012413
[236/5000][260/535][24053] Loss_D: -0.034677 Loss_G: 0.042804 Loss_D_real: -0.051548 Loss_D_fake -0.016871
[236/5000][265/535][24054] Loss_D: -0.036370 Loss_G: 0.029081 Loss_D_real: -0.030437 Loss_D_fake 0.005933
[236/5000][270/535][24055] Loss_D: -0.035287 Loss_G: -0.007417 Loss_D_real: -0.008155 Loss_D_fake 0.027131
[236/5000][275/535][24056] Loss_D: -0.034786 Loss_G: 0.028843 Loss_D_real: -0.036074 Loss_D_fake -0.001288
[236/5000][280/535][24057] Loss_D: -0.035529 Loss_G: 0.006576 Loss_D_real: -0.013199 Loss_D_fake 0.022330
[236/5000][285/535][24058] Loss_D: -0.036108 Loss_G: 0.026237 Loss_D_real: -0.034348 Loss_D_fake 0.001760
[236/5000][290/535][24059] Loss_D: -0.035622 Loss_G: 0.002729 Loss_D_real: -0.009766 Loss_D_fake 0.025856
[236/5000][295/535][24060] Loss_D: -0.035608 Loss_G: 0.012425 Loss_D_real: -0.020069 Loss_D_fake 0.015538
[236/5000][300/535][24061] Loss_D: -0.034913 Loss_G: 0.009929 Loss_D_real: -0.021068 Loss_D_fake 0.013844
[236/5000][305/535][24062] Loss_D: -0.035186 Loss_G: 0.008580 Loss_D_real: -0.019964 Loss_D_fake 0.015222
[236/5000][310/535][24063] Loss_D: -0.035293 Loss_G: 0.022513 Loss_D_real: -0.035325 Loss_D_fake -0.000032
[236/5000][315/535][24064] Loss_D: -0.036575 Loss_G: 0.028895 Loss_D_real: -0.034578 Loss_D_fake 0.001997
[236/5000][320/535][24065] Loss_D: -0.035413 Loss_G: -0.004069 Loss_D_real: -0.011971 Loss_D_fake 0.023442
[236/5000][325/535][24066] Loss_D: -0.035025 Loss_G: 0.027988 Loss_D_real: -0.031492 Loss_D_fake 0.003533
[236/5000][330/535][24067] Loss_D: -0.035450 Loss_G: 0.007681 Loss_D_real: -0.014040 Loss_D_fake 0.021410
[236/5000][335/535][24068] Loss_D: -0.036004 Loss_G: 0.015101 Loss_D_real: -0.027908 Loss_D_fake 0.008097
[236/5000][340/535][24069] Loss_D: -0.035377 Loss_G: 0.041593 Loss_D_real: -0.037250 Loss_D_fake -0.001874
[236/5000][345/535][24070] Loss_D: -0.033899 Loss_G: -0.008168 Loss_D_real: -0.007329 Loss_D_fake 0.026571
[236/5000][350/535][24071] Loss_D: -0.034083 Loss_G: 0.036689 Loss_D_real: -0.034846 Loss_D_fake -0.000763
[236/5000][355/535][24072] Loss_D: -0.033607 Loss_G: 0.014001 Loss_D_real: -0.018537 Loss_D_fake 0.015070
[236/5000][360/535][24073] Loss_D: -0.034921 Loss_G: 0.017090 Loss_D_real: -0.022269 Loss_D_fake 0.012652
[236/5000][365/535][24074] Loss_D: -0.035535 Loss_G: 0.008075 Loss_D_real: -0.015352 Loss_D_fake 0.020184
[236/5000][370/535][24075] Loss_D: -0.034311 Loss_G: -0.004703 Loss_D_real: -0.008980 Loss_D_fake 0.025331
[236/5000][375/535][24076] Loss_D: -0.036132 Loss_G: 0.022500 Loss_D_real: -0.023259 Loss_D_fake 0.012873
[236/5000][380/535][24077] Loss_D: -0.035784 Loss_G: -0.000777 Loss_D_real: -0.025483 Loss_D_fake 0.010300
[236/5000][385/535][24078] Loss_D: -0.034139 Loss_G: 0.024938 Loss_D_real: -0.026682 Loss_D_fake 0.007457
[236/5000][390/535][24079] Loss_D: -0.036248 Loss_G: 0.026600 Loss_D_real: -0.029724 Loss_D_fake 0.006525
[236/5000][395/535][24080] Loss_D: -0.035777 Loss_G: -0.005601 Loss_D_real: -0.004800 Loss_D_fake 0.030977
[236/5000][400/535][24081] Loss_D: -0.034480 Loss_G: 0.043477 Loss_D_real: -0.047707 Loss_D_fake -0.013227
[236/5000][405/535][24082] Loss_D: -0.033696 Loss_G: 0.003177 Loss_D_real: -0.017315 Loss_D_fake 0.016381
[236/5000][410/535][24083] Loss_D: -0.035510 Loss_G: 0.028743 Loss_D_real: -0.034250 Loss_D_fake 0.001260
[236/5000][415/535][24084] Loss_D: -0.035923 Loss_G: 0.007883 Loss_D_real: -0.019259 Loss_D_fake 0.016665
[236/5000][420/535][24085] Loss_D: -0.034500 Loss_G: 0.022920 Loss_D_real: -0.028077 Loss_D_fake 0.006423
[236/5000][425/535][24086] Loss_D: -0.034244 Loss_G: 0.005712 Loss_D_real: -0.019820 Loss_D_fake 0.014423
[236/5000][430/535][24087] Loss_D: -0.032442 Loss_G: 0.037917 Loss_D_real: -0.046952 Loss_D_fake -0.014509
[236/5000][435/535][24088] Loss_D: -0.034112 Loss_G: -0.003102 Loss_D_real: -0.013033 Loss_D_fake 0.021080
[236/5000][440/535][24089] Loss_D: -0.034849 Loss_G: 0.026102 Loss_D_real: -0.028281 Loss_D_fake 0.006567
[236/5000][445/535][24090] Loss_D: -0.035512 Loss_G: 0.007307 Loss_D_real: -0.012584 Loss_D_fake 0.022929
[236/5000][450/535][24091] Loss_D: -0.035291 Loss_G: 0.023521 Loss_D_real: -0.030004 Loss_D_fake 0.005286
[236/5000][455/535][24092] Loss_D: -0.036152 Loss_G: 0.013876 Loss_D_real: -0.025930 Loss_D_fake 0.010223
[236/5000][460/535][24093] Loss_D: -0.035239 Loss_G: 0.017365 Loss_D_real: -0.025261 Loss_D_fake 0.009978
[236/5000][465/535][24094] Loss_D: -0.032630 Loss_G: 0.033215 Loss_D_real: -0.042224 Loss_D_fake -0.009594
[236/5000][470/535][24095] Loss_D: -0.034446 Loss_G: 0.012497 Loss_D_real: -0.010334 Loss_D_fake 0.024112
[236/5000][475/535][24096] Loss_D: -0.034373 Loss_G: 0.005135 Loss_D_real: -0.013494 Loss_D_fake 0.020879
[236/5000][480/535][24097] Loss_D: -0.035710 Loss_G: 0.024416 Loss_D_real: -0.030773 Loss_D_fake 0.004937
[236/5000][485/535][24098] Loss_D: -0.033188 Loss_G: 0.042161 Loss_D_real: -0.040901 Loss_D_fake -0.007713
[236/5000][490/535][24099] Loss_D: -0.033226 Loss_G: -0.005650 Loss_D_real: -0.013664 Loss_D_fake 0.019562
[236/5000][495/535][24100] Loss_D: -0.034590 Loss_G: 0.014933 Loss_D_real: -0.026358 Loss_D_fake 0.008232
[236/5000][500/535][24101] Loss_D: -0.036812 Loss_G: 0.001007 Loss_D_real: -0.006377 Loss_D_fake 0.030435
[236/5000][505/535][24102] Loss_D: -0.034403 Loss_G: 0.039414 Loss_D_real: -0.040205 Loss_D_fake -0.005802
[236/5000][510/535][24103] Loss_D: -0.034395 Loss_G: -0.011076 Loss_D_real: -0.000732 Loss_D_fake 0.033663
[236/5000][515/535][24104] Loss_D: -0.034964 Loss_G: 0.029091 Loss_D_real: -0.035388 Loss_D_fake -0.000424
[236/5000][520/535][24105] Loss_D: -0.035264 Loss_G: 0.018839 Loss_D_real: -0.025426 Loss_D_fake 0.009838
[236/5000][525/535][24106] Loss_D: -0.035265 Loss_G: 0.007504 Loss_D_real: -0.019928 Loss_D_fake 0.015337
[236/5000][530/535][24107] Loss_D: -0.035951 Loss_G: 0.029931 Loss_D_real: -0.031159 Loss_D_fake 0.004792
[236/5000][535/535][24108] Loss_D: -0.035254 Loss_G: 0.027513 Loss_D_real: -0.027258 Loss_D_fake 0.007995
[237/5000][5/535][24109] Loss_D: -0.036038 Loss_G: 0.017049 Loss_D_real: -0.021378 Loss_D_fake 0.014660
[237/5000][10/535][24110] Loss_D: -0.035049 Loss_G: 0.023829 Loss_D_real: -0.025533 Loss_D_fake 0.009515
[237/5000][15/535][24111] Loss_D: -0.034370 Loss_G: 0.002577 Loss_D_real: -0.011076 Loss_D_fake 0.023295
[237/5000][20/535][24112] Loss_D: -0.036012 Loss_G: 0.030331 Loss_D_real: -0.036094 Loss_D_fake -0.000082
[237/5000][25/535][24113] Loss_D: -0.035056 Loss_G: 0.007921 Loss_D_real: -0.010043 Loss_D_fake 0.025013
[237/5000][30/535][24114] Loss_D: -0.034619 Loss_G: 0.008282 Loss_D_real: -0.023631 Loss_D_fake 0.010988
[237/5000][35/535][24115] Loss_D: -0.036111 Loss_G: -0.006077 Loss_D_real: -0.010196 Loss_D_fake 0.025915
[237/5000][40/535][24116] Loss_D: -0.035744 Loss_G: 0.019417 Loss_D_real: -0.026948 Loss_D_fake 0.008796
[237/5000][45/535][24117] Loss_D: -0.035216 Loss_G: 0.017297 Loss_D_real: -0.025312 Loss_D_fake 0.009903
[237/5000][50/535][24118] Loss_D: -0.036048 Loss_G: 0.025810 Loss_D_real: -0.026076 Loss_D_fake 0.009972
[237/5000][55/535][24119] Loss_D: -0.034488 Loss_G: 0.030871 Loss_D_real: -0.038778 Loss_D_fake -0.004290
[237/5000][60/535][24120] Loss_D: -0.033874 Loss_G: 0.008417 Loss_D_real: -0.009385 Loss_D_fake 0.024488
[237/5000][65/535][24121] Loss_D: -0.035025 Loss_G: 0.039566 Loss_D_real: -0.043209 Loss_D_fake -0.008184
[237/5000][70/535][24122] Loss_D: -0.036984 Loss_G: -0.004922 Loss_D_real: -0.006706 Loss_D_fake 0.030278
[237/5000][75/535][24123] Loss_D: -0.033168 Loss_G: 0.021196 Loss_D_real: -0.026567 Loss_D_fake 0.006601
[237/5000][80/535][24124] Loss_D: -0.034125 Loss_G: 0.023026 Loss_D_real: -0.023990 Loss_D_fake 0.010135
[237/5000][85/535][24125] Loss_D: -0.034304 Loss_G: 0.007198 Loss_D_real: -0.012915 Loss_D_fake 0.021389
[237/5000][90/535][24126] Loss_D: -0.034703 Loss_G: 0.018544 Loss_D_real: -0.034792 Loss_D_fake -0.000090
[237/5000][95/535][24127] Loss_D: -0.034817 Loss_G: 0.028987 Loss_D_real: -0.029266 Loss_D_fake 0.005551
[237/5000][100/535][24128] Loss_D: -0.035080 Loss_G: 0.027569 Loss_D_real: -0.039715 Loss_D_fake -0.004636
[237/5000][105/535][24129] Loss_D: -0.034880 Loss_G: -0.007456 Loss_D_real: -0.006699 Loss_D_fake 0.028181
[237/5000][110/535][24130] Loss_D: -0.034830 Loss_G: 0.027983 Loss_D_real: -0.034258 Loss_D_fake 0.000572
[237/5000][115/535][24131] Loss_D: -0.034172 Loss_G: 0.031170 Loss_D_real: -0.041170 Loss_D_fake -0.006998
[237/5000][120/535][24132] Loss_D: -0.035135 Loss_G: 0.022963 Loss_D_real: -0.027675 Loss_D_fake 0.007460
[237/5000][125/535][24133] Loss_D: -0.035180 Loss_G: 0.035928 Loss_D_real: -0.039353 Loss_D_fake -0.004173
[237/5000][130/535][24134] Loss_D: -0.035596 Loss_G: -0.003188 Loss_D_real: -0.009647 Loss_D_fake 0.025949
[237/5000][135/535][24135] Loss_D: -0.034684 Loss_G: 0.029407 Loss_D_real: -0.030342 Loss_D_fake 0.004343
[237/5000][140/535][24136] Loss_D: -0.034755 Loss_G: 0.032478 Loss_D_real: -0.038897 Loss_D_fake -0.004142
[237/5000][145/535][24137] Loss_D: -0.035625 Loss_G: 0.023479 Loss_D_real: -0.028098 Loss_D_fake 0.007527
[237/5000][150/535][24138] Loss_D: -0.035038 Loss_G: -0.003217 Loss_D_real: -0.010782 Loss_D_fake 0.024257
[237/5000][155/535][24139] Loss_D: -0.034683 Loss_G: 0.004964 Loss_D_real: -0.016102 Loss_D_fake 0.018581
[237/5000][160/535][24140] Loss_D: -0.035105 Loss_G: 0.024221 Loss_D_real: -0.027067 Loss_D_fake 0.008038
[237/5000][165/535][24141] Loss_D: -0.034758 Loss_G: 0.008666 Loss_D_real: -0.011513 Loss_D_fake 0.023245
[237/5000][170/535][24142] Loss_D: -0.035702 Loss_G: 0.001461 Loss_D_real: -0.013823 Loss_D_fake 0.021879
[237/5000][175/535][24143] Loss_D: -0.032998 Loss_G: 0.033981 Loss_D_real: -0.042454 Loss_D_fake -0.009456
[237/5000][180/535][24144] Loss_D: -0.033392 Loss_G: 0.010085 Loss_D_real: -0.023145 Loss_D_fake 0.010247
[237/5000][185/535][24145] Loss_D: -0.035199 Loss_G: 0.013770 Loss_D_real: -0.023984 Loss_D_fake 0.011215
[237/5000][190/535][24146] Loss_D: -0.034714 Loss_G: 0.007057 Loss_D_real: -0.025385 Loss_D_fake 0.009329
[237/5000][195/535][24147] Loss_D: -0.035729 Loss_G: 0.008787 Loss_D_real: -0.018566 Loss_D_fake 0.017164
[237/5000][200/535][24148] Loss_D: -0.035980 Loss_G: 0.011638 Loss_D_real: -0.020751 Loss_D_fake 0.015229
[237/5000][205/535][24149] Loss_D: -0.033960 Loss_G: 0.039964 Loss_D_real: -0.036150 Loss_D_fake -0.002191
[237/5000][210/535][24150] Loss_D: -0.034596 Loss_G: -0.004783 Loss_D_real: -0.000592 Loss_D_fake 0.034004
[237/5000][215/535][24151] Loss_D: -0.034082 Loss_G: 0.038499 Loss_D_real: -0.041825 Loss_D_fake -0.007743
[237/5000][220/535][24152] Loss_D: -0.034353 Loss_G: 0.001036 Loss_D_real: -0.012327 Loss_D_fake 0.022026
[237/5000][225/535][24153] Loss_D: -0.034759 Loss_G: 0.018837 Loss_D_real: -0.019330 Loss_D_fake 0.015429
[237/5000][230/535][24154] Loss_D: -0.035681 Loss_G: 0.031580 Loss_D_real: -0.034429 Loss_D_fake 0.001252
[237/5000][235/535][24155] Loss_D: -0.035851 Loss_G: 0.004388 Loss_D_real: -0.019230 Loss_D_fake 0.016621
[237/5000][240/535][24156] Loss_D: -0.034234 Loss_G: 0.038358 Loss_D_real: -0.039945 Loss_D_fake -0.005711
[237/5000][245/535][24157] Loss_D: -0.034008 Loss_G: -0.008093 Loss_D_real: -0.009010 Loss_D_fake 0.024999
[237/5000][250/535][24158] Loss_D: -0.035931 Loss_G: 0.028089 Loss_D_real: -0.029109 Loss_D_fake 0.006823
[237/5000][255/535][24159] Loss_D: -0.035433 Loss_G: 0.009937 Loss_D_real: -0.018374 Loss_D_fake 0.017059
[237/5000][260/535][24160] Loss_D: -0.032901 Loss_G: 0.042578 Loss_D_real: -0.037805 Loss_D_fake -0.004904
[237/5000][265/535][24161] Loss_D: -0.034300 Loss_G: 0.009536 Loss_D_real: -0.013846 Loss_D_fake 0.020454
[237/5000][270/535][24162] Loss_D: -0.034119 Loss_G: 0.031586 Loss_D_real: -0.037468 Loss_D_fake -0.003349
[237/5000][275/535][24163] Loss_D: -0.034508 Loss_G: 0.000937 Loss_D_real: -0.015159 Loss_D_fake 0.019349
[237/5000][280/535][24164] Loss_D: -0.036318 Loss_G: 0.017163 Loss_D_real: -0.022571 Loss_D_fake 0.013746
[237/5000][285/535][24165] Loss_D: -0.035249 Loss_G: 0.001310 Loss_D_real: -0.012369 Loss_D_fake 0.022880
[237/5000][290/535][24166] Loss_D: -0.034612 Loss_G: 0.029175 Loss_D_real: -0.023174 Loss_D_fake 0.011438
[237/5000][295/535][24167] Loss_D: -0.036068 Loss_G: -0.000128 Loss_D_real: -0.017073 Loss_D_fake 0.018995
[237/5000][300/535][24168] Loss_D: -0.033889 Loss_G: 0.004622 Loss_D_real: -0.022533 Loss_D_fake 0.011356
[237/5000][305/535][24169] Loss_D: -0.035537 Loss_G: 0.040801 Loss_D_real: -0.041568 Loss_D_fake -0.006031
[237/5000][310/535][24170] Loss_D: -0.032916 Loss_G: -0.013092 Loss_D_real: 0.004304 Loss_D_fake 0.037219
[237/5000][315/535][24171] Loss_D: -0.034876 Loss_G: 0.031825 Loss_D_real: -0.032936 Loss_D_fake 0.001939
[237/5000][320/535][24172] Loss_D: -0.035905 Loss_G: 0.001490 Loss_D_real: -0.008895 Loss_D_fake 0.027011
[237/5000][325/535][24173] Loss_D: -0.034405 Loss_G: 0.027212 Loss_D_real: -0.035139 Loss_D_fake -0.000734
[237/5000][330/535][24174] Loss_D: -0.035795 Loss_G: 0.000795 Loss_D_real: -0.014150 Loss_D_fake 0.021644
[237/5000][335/535][24175] Loss_D: -0.034245 Loss_G: 0.041527 Loss_D_real: -0.040630 Loss_D_fake -0.006386
[237/5000][340/535][24176] Loss_D: -0.033608 Loss_G: 0.003022 Loss_D_real: -0.009405 Loss_D_fake 0.024202
[237/5000][345/535][24177] Loss_D: -0.035925 Loss_G: 0.014506 Loss_D_real: -0.022471 Loss_D_fake 0.013455
[237/5000][350/535][24178] Loss_D: -0.035716 Loss_G: 0.031581 Loss_D_real: -0.031501 Loss_D_fake 0.004215
[237/5000][355/535][24179] Loss_D: -0.034501 Loss_G: -0.005657 Loss_D_real: -0.001120 Loss_D_fake 0.033380
[237/5000][360/535][24180] Loss_D: -0.033502 Loss_G: 0.029295 Loss_D_real: -0.034256 Loss_D_fake -0.000755
[237/5000][365/535][24181] Loss_D: -0.037148 Loss_G: 0.038583 Loss_D_real: -0.028899 Loss_D_fake 0.008249
[237/5000][370/535][24182] Loss_D: -0.034267 Loss_G: 0.017563 Loss_D_real: -0.022307 Loss_D_fake 0.011960
[237/5000][375/535][24183] Loss_D: -0.035697 Loss_G: 0.008733 Loss_D_real: -0.016073 Loss_D_fake 0.019624
[237/5000][380/535][24184] Loss_D: -0.032588 Loss_G: 0.041817 Loss_D_real: -0.042804 Loss_D_fake -0.010216
[237/5000][385/535][24185] Loss_D: -0.033820 Loss_G: -0.008162 Loss_D_real: -0.008255 Loss_D_fake 0.025565
[237/5000][390/535][24186] Loss_D: -0.035988 Loss_G: 0.011240 Loss_D_real: -0.025920 Loss_D_fake 0.010067
[237/5000][395/535][24187] Loss_D: -0.034276 Loss_G: 0.031617 Loss_D_real: -0.035337 Loss_D_fake -0.001061
[237/5000][400/535][24188] Loss_D: -0.036087 Loss_G: 0.011856 Loss_D_real: -0.021440 Loss_D_fake 0.014647
[237/5000][405/535][24189] Loss_D: -0.034744 Loss_G: 0.023833 Loss_D_real: -0.027778 Loss_D_fake 0.006966
[237/5000][410/535][24190] Loss_D: -0.035462 Loss_G: 0.011443 Loss_D_real: -0.014527 Loss_D_fake 0.020935
[237/5000][415/535][24191] Loss_D: -0.033617 Loss_G: 0.038606 Loss_D_real: -0.044019 Loss_D_fake -0.010401
[237/5000][420/535][24192] Loss_D: -0.034802 Loss_G: -0.003747 Loss_D_real: -0.008606 Loss_D_fake 0.026196
[237/5000][425/535][24193] Loss_D: -0.034525 Loss_G: 0.027736 Loss_D_real: -0.031644 Loss_D_fake 0.002881
[237/5000][430/535][24194] Loss_D: -0.034306 Loss_G: 0.034789 Loss_D_real: -0.027993 Loss_D_fake 0.006314
[237/5000][435/535][24195] Loss_D: -0.033727 Loss_G: 0.008570 Loss_D_real: -0.017398 Loss_D_fake 0.016329
[237/5000][440/535][24196] Loss_D: -0.033794 Loss_G: 0.010900 Loss_D_real: -0.016721 Loss_D_fake 0.017073
[237/5000][445/535][24197] Loss_D: -0.034778 Loss_G: 0.030738 Loss_D_real: -0.035832 Loss_D_fake -0.001054
[237/5000][450/535][24198] Loss_D: -0.035726 Loss_G: 0.002572 Loss_D_real: -0.010054 Loss_D_fake 0.025673
[237/5000][455/535][24199] Loss_D: -0.033711 Loss_G: 0.026949 Loss_D_real: -0.031668 Loss_D_fake 0.002043
[237/5000][460/535][24200] Loss_D: -0.036023 Loss_G: 0.009252 Loss_D_real: -0.018147 Loss_D_fake 0.017876
[237/5000][465/535][24201] Loss_D: -0.032214 Loss_G: 0.029431 Loss_D_real: -0.038722 Loss_D_fake -0.006508
[237/5000][470/535][24202] Loss_D: -0.036449 Loss_G: 0.017381 Loss_D_real: -0.021247 Loss_D_fake 0.015202
[237/5000][475/535][24203] Loss_D: -0.035744 Loss_G: 0.022841 Loss_D_real: -0.033513 Loss_D_fake 0.002231
[237/5000][480/535][24204] Loss_D: -0.034320 Loss_G: -0.005849 Loss_D_real: -0.011488 Loss_D_fake 0.022832
[237/5000][485/535][24205] Loss_D: -0.034994 Loss_G: 0.041318 Loss_D_real: -0.038731 Loss_D_fake -0.003736
[237/5000][490/535][24206] Loss_D: -0.033357 Loss_G: 0.004446 Loss_D_real: -0.016861 Loss_D_fake 0.016496
[237/5000][495/535][24207] Loss_D: -0.034750 Loss_G: 0.017651 Loss_D_real: -0.025214 Loss_D_fake 0.009536
[237/5000][500/535][24208] Loss_D: -0.035535 Loss_G: 0.032099 Loss_D_real: -0.037019 Loss_D_fake -0.001483
[237/5000][505/535][24209] Loss_D: -0.033713 Loss_G: -0.006496 Loss_D_real: -0.009172 Loss_D_fake 0.024540
[237/5000][510/535][24210] Loss_D: -0.034913 Loss_G: 0.011417 Loss_D_real: -0.025593 Loss_D_fake 0.009320
[237/5000][515/535][24211] Loss_D: -0.035330 Loss_G: 0.008701 Loss_D_real: -0.026757 Loss_D_fake 0.008573
[237/5000][520/535][24212] Loss_D: -0.033974 Loss_G: 0.038381 Loss_D_real: -0.043809 Loss_D_fake -0.009835
[237/5000][525/535][24213] Loss_D: -0.035154 Loss_G: -0.003120 Loss_D_real: -0.008039 Loss_D_fake 0.027115
[237/5000][530/535][24214] Loss_D: -0.033090 Loss_G: 0.020957 Loss_D_real: -0.026577 Loss_D_fake 0.006513
[237/5000][535/535][24215] Loss_D: -0.032975 Loss_G: 0.044420 Loss_D_real: -0.038000 Loss_D_fake -0.005025
[238/5000][5/535][24216] Loss_D: -0.035093 Loss_G: 0.010715 Loss_D_real: -0.019792 Loss_D_fake 0.015301
[238/5000][10/535][24217] Loss_D: -0.035416 Loss_G: 0.029603 Loss_D_real: -0.032844 Loss_D_fake 0.002572
[238/5000][15/535][24218] Loss_D: -0.034085 Loss_G: 0.026624 Loss_D_real: -0.028854 Loss_D_fake 0.005231
[238/5000][20/535][24219] Loss_D: -0.036403 Loss_G: 0.001272 Loss_D_real: -0.017810 Loss_D_fake 0.018593
[238/5000][25/535][24220] Loss_D: -0.035230 Loss_G: 0.028856 Loss_D_real: -0.028740 Loss_D_fake 0.006490
[238/5000][30/535][24221] Loss_D: -0.036930 Loss_G: 0.001551 Loss_D_real: -0.018154 Loss_D_fake 0.018775
[238/5000][35/535][24222] Loss_D: -0.035736 Loss_G: 0.021783 Loss_D_real: -0.027384 Loss_D_fake 0.008352
[238/5000][40/535][24223] Loss_D: -0.034540 Loss_G: 0.024907 Loss_D_real: -0.031100 Loss_D_fake 0.003440
[238/5000][45/535][24224] Loss_D: -0.036278 Loss_G: -0.010128 Loss_D_real: -0.006095 Loss_D_fake 0.030182
[238/5000][50/535][24225] Loss_D: -0.035702 Loss_G: 0.034412 Loss_D_real: -0.042233 Loss_D_fake -0.006531
[238/5000][55/535][24226] Loss_D: -0.034418 Loss_G: -0.000965 Loss_D_real: -0.003174 Loss_D_fake 0.031244
[238/5000][60/535][24227] Loss_D: -0.033682 Loss_G: 0.033418 Loss_D_real: -0.032219 Loss_D_fake 0.001463
[238/5000][65/535][24228] Loss_D: -0.035147 Loss_G: 0.010832 Loss_D_real: -0.012164 Loss_D_fake 0.022983
[238/5000][70/535][24229] Loss_D: -0.036388 Loss_G: 0.020841 Loss_D_real: -0.027047 Loss_D_fake 0.009340
[238/5000][75/535][24230] Loss_D: -0.034787 Loss_G: 0.030735 Loss_D_real: -0.031132 Loss_D_fake 0.003655
[238/5000][80/535][24231] Loss_D: -0.035394 Loss_G: 0.012252 Loss_D_real: -0.016733 Loss_D_fake 0.018661
[238/5000][85/535][24232] Loss_D: -0.034378 Loss_G: 0.003279 Loss_D_real: -0.015744 Loss_D_fake 0.018635
[238/5000][90/535][24233] Loss_D: -0.034130 Loss_G: 0.033594 Loss_D_real: -0.035171 Loss_D_fake -0.001041
[238/5000][95/535][24234] Loss_D: -0.034169 Loss_G: -0.001554 Loss_D_real: -0.004435 Loss_D_fake 0.029734
[238/5000][100/535][24235] Loss_D: -0.033714 Loss_G: 0.009430 Loss_D_real: -0.023453 Loss_D_fake 0.010261
[238/5000][105/535][24236] Loss_D: -0.035606 Loss_G: 0.025496 Loss_D_real: -0.032023 Loss_D_fake 0.003583
[238/5000][110/535][24237] Loss_D: -0.034445 Loss_G: 0.012782 Loss_D_real: -0.018636 Loss_D_fake 0.015808
[238/5000][115/535][24238] Loss_D: -0.035563 Loss_G: 0.014637 Loss_D_real: -0.013489 Loss_D_fake 0.022074
[238/5000][120/535][24239] Loss_D: -0.034900 Loss_G: 0.019216 Loss_D_real: -0.022810 Loss_D_fake 0.012090
[238/5000][125/535][24240] Loss_D: -0.035224 Loss_G: 0.036046 Loss_D_real: -0.042094 Loss_D_fake -0.006870
[238/5000][130/535][24241] Loss_D: -0.034347 Loss_G: -0.010132 Loss_D_real: -0.002223 Loss_D_fake 0.032124
[238/5000][135/535][24242] Loss_D: -0.034223 Loss_G: 0.028164 Loss_D_real: -0.037483 Loss_D_fake -0.003260
[238/5000][140/535][24243] Loss_D: -0.034343 Loss_G: 0.026651 Loss_D_real: -0.034250 Loss_D_fake 0.000093
[238/5000][145/535][24244] Loss_D: -0.035565 Loss_G: 0.024213 Loss_D_real: -0.030274 Loss_D_fake 0.005292
[238/5000][150/535][24245] Loss_D: -0.034909 Loss_G: -0.005251 Loss_D_real: -0.010045 Loss_D_fake 0.024864
[238/5000][155/535][24246] Loss_D: -0.034405 Loss_G: 0.026454 Loss_D_real: -0.040015 Loss_D_fake -0.005611
[238/5000][160/535][24247] Loss_D: -0.033677 Loss_G: -0.003855 Loss_D_real: -0.006876 Loss_D_fake 0.026801
[238/5000][165/535][24248] Loss_D: -0.035183 Loss_G: 0.027323 Loss_D_real: -0.034849 Loss_D_fake 0.000334
[238/5000][170/535][24249] Loss_D: -0.035048 Loss_G: 0.009159 Loss_D_real: -0.023113 Loss_D_fake 0.011935
[238/5000][175/535][24250] Loss_D: -0.032712 Loss_G: 0.032478 Loss_D_real: -0.041180 Loss_D_fake -0.008468
[238/5000][180/535][24251] Loss_D: -0.036114 Loss_G: 0.010252 Loss_D_real: -0.022219 Loss_D_fake 0.013894
[238/5000][185/535][24252] Loss_D: -0.034369 Loss_G: 0.009073 Loss_D_real: -0.014110 Loss_D_fake 0.020259
[238/5000][190/535][24253] Loss_D: -0.034026 Loss_G: -0.003847 Loss_D_real: -0.011415 Loss_D_fake 0.022611
[238/5000][195/535][24254] Loss_D: -0.034204 Loss_G: 0.022471 Loss_D_real: -0.038568 Loss_D_fake -0.004364
[238/5000][200/535][24255] Loss_D: -0.035743 Loss_G: 0.031890 Loss_D_real: -0.040398 Loss_D_fake -0.004656
[238/5000][205/535][24256] Loss_D: -0.033332 Loss_G: -0.006626 Loss_D_real: 0.001289 Loss_D_fake 0.034621
[238/5000][210/535][24257] Loss_D: -0.033561 Loss_G: 0.030180 Loss_D_real: -0.028787 Loss_D_fake 0.004774
[238/5000][215/535][24258] Loss_D: -0.035911 Loss_G: 0.007882 Loss_D_real: -0.014353 Loss_D_fake 0.021559
[238/5000][220/535][24259] Loss_D: -0.033953 Loss_G: 0.034254 Loss_D_real: -0.045492 Loss_D_fake -0.011539
[238/5000][225/535][24260] Loss_D: -0.035736 Loss_G: 0.033292 Loss_D_real: -0.033723 Loss_D_fake 0.002013
[238/5000][230/535][24261] Loss_D: -0.036257 Loss_G: 0.004340 Loss_D_real: -0.018660 Loss_D_fake 0.017597
[238/5000][235/535][24262] Loss_D: -0.035472 Loss_G: 0.006246 Loss_D_real: -0.022776 Loss_D_fake 0.012696
[238/5000][240/535][24263] Loss_D: -0.034661 Loss_G: 0.032195 Loss_D_real: -0.029540 Loss_D_fake 0.005121
[238/5000][245/535][24264] Loss_D: -0.034074 Loss_G: 0.033296 Loss_D_real: -0.036864 Loss_D_fake -0.002790
[238/5000][250/535][24265] Loss_D: -0.036077 Loss_G: 0.024614 Loss_D_real: -0.027761 Loss_D_fake 0.008316
[238/5000][255/535][24266] Loss_D: -0.035639 Loss_G: 0.036521 Loss_D_real: -0.032778 Loss_D_fake 0.002861
[238/5000][260/535][24267] Loss_D: -0.033898 Loss_G: 0.016116 Loss_D_real: -0.023288 Loss_D_fake 0.010610
[238/5000][265/535][24268] Loss_D: -0.033327 Loss_G: 0.016630 Loss_D_real: -0.027349 Loss_D_fake 0.005978
[238/5000][270/535][24269] Loss_D: -0.035300 Loss_G: 0.003073 Loss_D_real: -0.014311 Loss_D_fake 0.020988
[238/5000][275/535][24270] Loss_D: -0.036712 Loss_G: 0.009072 Loss_D_real: -0.017598 Loss_D_fake 0.019114
[238/5000][280/535][24271] Loss_D: -0.032926 Loss_G: 0.033995 Loss_D_real: -0.039642 Loss_D_fake -0.006716
[238/5000][285/535][24272] Loss_D: -0.034850 Loss_G: 0.022063 Loss_D_real: -0.017578 Loss_D_fake 0.017272
[238/5000][290/535][24273] Loss_D: -0.032928 Loss_G: 0.013062 Loss_D_real: -0.016129 Loss_D_fake 0.016800
[238/5000][295/535][24274] Loss_D: -0.034809 Loss_G: 0.016380 Loss_D_real: -0.025360 Loss_D_fake 0.009448
[238/5000][300/535][24275] Loss_D: -0.034796 Loss_G: 0.012082 Loss_D_real: -0.020519 Loss_D_fake 0.014277
[238/5000][305/535][24276] Loss_D: -0.033865 Loss_G: 0.041692 Loss_D_real: -0.037093 Loss_D_fake -0.003228
[238/5000][310/535][24277] Loss_D: -0.032655 Loss_G: -0.008329 Loss_D_real: 0.000582 Loss_D_fake 0.033237
[238/5000][315/535][24278] Loss_D: -0.032065 Loss_G: 0.028830 Loss_D_real: -0.033761 Loss_D_fake -0.001696
[238/5000][320/535][24279] Loss_D: -0.033409 Loss_G: 0.000969 Loss_D_real: -0.009699 Loss_D_fake 0.023709
[238/5000][325/535][24280] Loss_D: -0.037365 Loss_G: 0.004643 Loss_D_real: -0.013838 Loss_D_fake 0.023527
[238/5000][330/535][24281] Loss_D: -0.036452 Loss_G: 0.017149 Loss_D_real: -0.026951 Loss_D_fake 0.009501
[238/5000][335/535][24282] Loss_D: -0.036898 Loss_G: 0.032455 Loss_D_real: -0.034014 Loss_D_fake 0.002885
[238/5000][340/535][24283] Loss_D: -0.034488 Loss_G: 0.007497 Loss_D_real: -0.015813 Loss_D_fake 0.018674
[238/5000][345/535][24284] Loss_D: -0.032841 Loss_G: 0.033215 Loss_D_real: -0.038142 Loss_D_fake -0.005301
[238/5000][350/535][24285] Loss_D: -0.035781 Loss_G: 0.004958 Loss_D_real: -0.024824 Loss_D_fake 0.010957
[238/5000][355/535][24286] Loss_D: -0.033257 Loss_G: 0.034464 Loss_D_real: -0.034392 Loss_D_fake -0.001135
[238/5000][360/535][24287] Loss_D: -0.033865 Loss_G: 0.008046 Loss_D_real: -0.015377 Loss_D_fake 0.018488
[238/5000][365/535][24288] Loss_D: -0.035012 Loss_G: 0.029516 Loss_D_real: -0.032613 Loss_D_fake 0.002399
[238/5000][370/535][24289] Loss_D: -0.033890 Loss_G: 0.011460 Loss_D_real: -0.024060 Loss_D_fake 0.009829
[238/5000][375/535][24290] Loss_D: -0.034498 Loss_G: 0.032655 Loss_D_real: -0.031353 Loss_D_fake 0.003145
[238/5000][380/535][24291] Loss_D: -0.032951 Loss_G: 0.033352 Loss_D_real: -0.037297 Loss_D_fake -0.004345
[238/5000][385/535][24292] Loss_D: -0.034724 Loss_G: 0.005478 Loss_D_real: -0.024024 Loss_D_fake 0.010700
[238/5000][390/535][24293] Loss_D: -0.035079 Loss_G: 0.021586 Loss_D_real: -0.025681 Loss_D_fake 0.009399
[238/5000][395/535][24294] Loss_D: -0.035519 Loss_G: -0.004719 Loss_D_real: -0.010504 Loss_D_fake 0.025015
[238/5000][400/535][24295] Loss_D: -0.033766 Loss_G: 0.033110 Loss_D_real: -0.035691 Loss_D_fake -0.001925
[238/5000][405/535][24296] Loss_D: -0.034488 Loss_G: 0.020899 Loss_D_real: -0.031632 Loss_D_fake 0.002856
[238/5000][410/535][24297] Loss_D: -0.035908 Loss_G: 0.026137 Loss_D_real: -0.034844 Loss_D_fake 0.001064
[238/5000][415/535][24298] Loss_D: -0.036651 Loss_G: 0.023059 Loss_D_real: -0.017246 Loss_D_fake 0.019406
[238/5000][420/535][24299] Loss_D: -0.035124 Loss_G: 0.002653 Loss_D_real: -0.008724 Loss_D_fake 0.026400
[238/5000][425/535][24300] Loss_D: -0.034647 Loss_G: 0.039078 Loss_D_real: -0.040900 Loss_D_fake -0.006252
[238/5000][430/535][24301] Loss_D: -0.034295 Loss_G: 0.027205 Loss_D_real: -0.026085 Loss_D_fake 0.008209
[238/5000][435/535][24302] Loss_D: -0.034848 Loss_G: 0.002097 Loss_D_real: -0.015315 Loss_D_fake 0.019533
[238/5000][440/535][24303] Loss_D: -0.034584 Loss_G: 0.032267 Loss_D_real: -0.031787 Loss_D_fake 0.002797
[238/5000][445/535][24304] Loss_D: -0.035126 Loss_G: 0.001774 Loss_D_real: -0.018549 Loss_D_fake 0.016577
[238/5000][450/535][24305] Loss_D: -0.034467 Loss_G: 0.001968 Loss_D_real: -0.013306 Loss_D_fake 0.021161
[238/5000][455/535][24306] Loss_D: -0.034972 Loss_G: 0.007456 Loss_D_real: -0.025665 Loss_D_fake 0.009308
[238/5000][460/535][24307] Loss_D: -0.035277 Loss_G: 0.026392 Loss_D_real: -0.028981 Loss_D_fake 0.006296
[238/5000][465/535][24308] Loss_D: -0.033190 Loss_G: -0.012667 Loss_D_real: 0.000994 Loss_D_fake 0.034184
[238/5000][470/535][24309] Loss_D: -0.034701 Loss_G: 0.008398 Loss_D_real: -0.020856 Loss_D_fake 0.013845
[238/5000][475/535][24310] Loss_D: -0.033743 Loss_G: 0.022124 Loss_D_real: -0.027383 Loss_D_fake 0.006360
[238/5000][480/535][24311] Loss_D: -0.033567 Loss_G: -0.002029 Loss_D_real: -0.010239 Loss_D_fake 0.023328
[238/5000][485/535][24312] Loss_D: -0.033829 Loss_G: 0.029298 Loss_D_real: -0.026934 Loss_D_fake 0.006895
[238/5000][490/535][24313] Loss_D: -0.036387 Loss_G: 0.013994 Loss_D_real: -0.014121 Loss_D_fake 0.022266
[238/5000][495/535][24314] Loss_D: -0.034819 Loss_G: 0.032237 Loss_D_real: -0.027600 Loss_D_fake 0.007219
[238/5000][500/535][24315] Loss_D: -0.034004 Loss_G: 0.017215 Loss_D_real: -0.019316 Loss_D_fake 0.014688
[238/5000][505/535][24316] Loss_D: -0.035027 Loss_G: 0.005482 Loss_D_real: -0.022940 Loss_D_fake 0.012087
[238/5000][510/535][24317] Loss_D: -0.033672 Loss_G: -0.006204 Loss_D_real: -0.007965 Loss_D_fake 0.025707
[238/5000][515/535][24318] Loss_D: -0.033894 Loss_G: 0.002630 Loss_D_real: -0.017529 Loss_D_fake 0.016365
[238/5000][520/535][24319] Loss_D: -0.034518 Loss_G: 0.025892 Loss_D_real: -0.025019 Loss_D_fake 0.009499
[238/5000][525/535][24320] Loss_D: -0.033975 Loss_G: 0.035291 Loss_D_real: -0.030450 Loss_D_fake 0.003525
[238/5000][530/535][24321] Loss_D: -0.032514 Loss_G: -0.016844 Loss_D_real: -0.002701 Loss_D_fake 0.029814
[238/5000][535/535][24322] Loss_D: -0.033676 Loss_G: 0.042923 Loss_D_real: -0.037972 Loss_D_fake -0.004296
[239/5000][5/535][24323] Loss_D: -0.035885 Loss_G: 0.019515 Loss_D_real: -0.023436 Loss_D_fake 0.012449
[239/5000][10/535][24324] Loss_D: -0.034309 Loss_G: 0.011683 Loss_D_real: -0.017399 Loss_D_fake 0.016910
[239/5000][15/535][24325] Loss_D: -0.034754 Loss_G: 0.029901 Loss_D_real: -0.033278 Loss_D_fake 0.001476
[239/5000][20/535][24326] Loss_D: -0.035490 Loss_G: 0.020777 Loss_D_real: -0.024243 Loss_D_fake 0.011246
[239/5000][25/535][24327] Loss_D: -0.037138 Loss_G: -0.012504 Loss_D_real: -0.006081 Loss_D_fake 0.031057
[239/5000][30/535][24328] Loss_D: -0.033736 Loss_G: 0.030193 Loss_D_real: -0.036769 Loss_D_fake -0.003033
[239/5000][35/535][24329] Loss_D: -0.032117 Loss_G: 0.028166 Loss_D_real: -0.036351 Loss_D_fake -0.004234
[239/5000][40/535][24330] Loss_D: -0.038273 Loss_G: -0.001614 Loss_D_real: -0.009083 Loss_D_fake 0.029190
[239/5000][45/535][24331] Loss_D: -0.033169 Loss_G: 0.021232 Loss_D_real: -0.028757 Loss_D_fake 0.004411
[239/5000][50/535][24332] Loss_D: -0.036435 Loss_G: 0.027227 Loss_D_real: -0.020358 Loss_D_fake 0.016077
[239/5000][55/535][24333] Loss_D: -0.035831 Loss_G: 0.005474 Loss_D_real: -0.021230 Loss_D_fake 0.014601
[239/5000][60/535][24334] Loss_D: -0.034424 Loss_G: 0.025223 Loss_D_real: -0.034973 Loss_D_fake -0.000548
[239/5000][65/535][24335] Loss_D: -0.035973 Loss_G: -0.005540 Loss_D_real: -0.008890 Loss_D_fake 0.027083
[239/5000][70/535][24336] Loss_D: -0.035688 Loss_G: 0.028708 Loss_D_real: -0.031467 Loss_D_fake 0.004220
[239/5000][75/535][24337] Loss_D: -0.034714 Loss_G: 0.034835 Loss_D_real: -0.036701 Loss_D_fake -0.001987
[239/5000][80/535][24338] Loss_D: -0.034997 Loss_G: 0.002057 Loss_D_real: -0.007315 Loss_D_fake 0.027682
[239/5000][85/535][24339] Loss_D: -0.034000 Loss_G: 0.013194 Loss_D_real: -0.026700 Loss_D_fake 0.007300
[239/5000][90/535][24340] Loss_D: -0.034103 Loss_G: 0.028735 Loss_D_real: -0.039784 Loss_D_fake -0.005681
[239/5000][95/535][24341] Loss_D: -0.035943 Loss_G: -0.005341 Loss_D_real: -0.005446 Loss_D_fake 0.030498
[239/5000][100/535][24342] Loss_D: -0.032861 Loss_G: 0.011344 Loss_D_real: -0.025553 Loss_D_fake 0.007308
[239/5000][105/535][24343] Loss_D: -0.035202 Loss_G: 0.019611 Loss_D_real: -0.030911 Loss_D_fake 0.004291
[239/5000][110/535][24344] Loss_D: -0.036173 Loss_G: 0.010722 Loss_D_real: -0.024504 Loss_D_fake 0.011669
[239/5000][115/535][24345] Loss_D: -0.032442 Loss_G: 0.039656 Loss_D_real: -0.048346 Loss_D_fake -0.015904
[239/5000][120/535][24346] Loss_D: -0.035062 Loss_G: 0.016353 Loss_D_real: -0.023261 Loss_D_fake 0.011801
[239/5000][125/535][24347] Loss_D: -0.033540 Loss_G: 0.027244 Loss_D_real: -0.037107 Loss_D_fake -0.003567
[239/5000][130/535][24348] Loss_D: -0.035393 Loss_G: 0.001407 Loss_D_real: -0.011136 Loss_D_fake 0.024257
[239/5000][135/535][24349] Loss_D: -0.035601 Loss_G: 0.015866 Loss_D_real: -0.027907 Loss_D_fake 0.007694
[239/5000][140/535][24350] Loss_D: -0.036914 Loss_G: 0.017372 Loss_D_real: -0.027461 Loss_D_fake 0.009453
[239/5000][145/535][24351] Loss_D: -0.034622 Loss_G: 0.041737 Loss_D_real: -0.031563 Loss_D_fake 0.003059
[239/5000][150/535][24352] Loss_D: -0.034746 Loss_G: -0.006786 Loss_D_real: -0.004381 Loss_D_fake 0.030366
[239/5000][155/535][24353] Loss_D: -0.032456 Loss_G: 0.013493 Loss_D_real: -0.035392 Loss_D_fake -0.002936
[239/5000][160/535][24354] Loss_D: -0.033807 Loss_G: 0.019747 Loss_D_real: -0.025814 Loss_D_fake 0.007993
[239/5000][165/535][24355] Loss_D: -0.034910 Loss_G: 0.016853 Loss_D_real: -0.025584 Loss_D_fake 0.009326
[239/5000][170/535][24356] Loss_D: -0.035212 Loss_G: 0.013529 Loss_D_real: -0.021454 Loss_D_fake 0.013758
[239/5000][175/535][24357] Loss_D: -0.034044 Loss_G: 0.007075 Loss_D_real: -0.028233 Loss_D_fake 0.005811
[239/5000][180/535][24358] Loss_D: -0.030676 Loss_G: 0.039542 Loss_D_real: -0.044346 Loss_D_fake -0.013670
[239/5000][185/535][24359] Loss_D: -0.034562 Loss_G: 0.019644 Loss_D_real: -0.025126 Loss_D_fake 0.009436
[239/5000][190/535][24360] Loss_D: -0.033374 Loss_G: 0.023806 Loss_D_real: -0.029529 Loss_D_fake 0.003845
[239/5000][195/535][24361] Loss_D: -0.034808 Loss_G: 0.024258 Loss_D_real: -0.029708 Loss_D_fake 0.005100
[239/5000][200/535][24362] Loss_D: -0.036091 Loss_G: 0.012973 Loss_D_real: -0.014564 Loss_D_fake 0.021527
[239/5000][205/535][24363] Loss_D: -0.035708 Loss_G: 0.026115 Loss_D_real: -0.028594 Loss_D_fake 0.007115
[239/5000][210/535][24364] Loss_D: -0.034786 Loss_G: 0.011134 Loss_D_real: -0.017557 Loss_D_fake 0.017229
[239/5000][215/535][24365] Loss_D: -0.035788 Loss_G: 0.017530 Loss_D_real: -0.026076 Loss_D_fake 0.009711
[239/5000][220/535][24366] Loss_D: -0.035525 Loss_G: 0.007361 Loss_D_real: -0.018003 Loss_D_fake 0.017521
[239/5000][225/535][24367] Loss_D: -0.035615 Loss_G: 0.018517 Loss_D_real: -0.026423 Loss_D_fake 0.009192
[239/5000][230/535][24368] Loss_D: -0.031221 Loss_G: -0.017110 Loss_D_real: 0.001417 Loss_D_fake 0.032637
[239/5000][235/535][24369] Loss_D: -0.032731 Loss_G: 0.035628 Loss_D_real: -0.040237 Loss_D_fake -0.007506
[239/5000][240/535][24370] Loss_D: -0.036753 Loss_G: 0.009937 Loss_D_real: -0.022512 Loss_D_fake 0.014240
[239/5000][245/535][24371] Loss_D: -0.033896 Loss_G: 0.018550 Loss_D_real: -0.022529 Loss_D_fake 0.011368
[239/5000][250/535][24372] Loss_D: -0.035273 Loss_G: 0.011789 Loss_D_real: -0.021063 Loss_D_fake 0.014210
[239/5000][255/535][24373] Loss_D: -0.033884 Loss_G: 0.034484 Loss_D_real: -0.033178 Loss_D_fake 0.000706
[239/5000][260/535][24374] Loss_D: -0.034059 Loss_G: -0.010858 Loss_D_real: -0.009495 Loss_D_fake 0.024563
[239/5000][265/535][24375] Loss_D: -0.032314 Loss_G: 0.035825 Loss_D_real: -0.047243 Loss_D_fake -0.014929
[239/5000][270/535][24376] Loss_D: -0.034938 Loss_G: 0.008464 Loss_D_real: -0.019888 Loss_D_fake 0.015050
[239/5000][275/535][24377] Loss_D: -0.034394 Loss_G: 0.018436 Loss_D_real: -0.024182 Loss_D_fake 0.010211
[239/5000][280/535][24378] Loss_D: -0.034698 Loss_G: 0.031536 Loss_D_real: -0.031529 Loss_D_fake 0.003169
[239/5000][285/535][24379] Loss_D: -0.035721 Loss_G: 0.006606 Loss_D_real: -0.018136 Loss_D_fake 0.017585
[239/5000][290/535][24380] Loss_D: -0.036651 Loss_G: 0.018411 Loss_D_real: -0.021548 Loss_D_fake 0.015104
[239/5000][295/535][24381] Loss_D: -0.034362 Loss_G: 0.004082 Loss_D_real: -0.007602 Loss_D_fake 0.026761
[239/5000][300/535][24382] Loss_D: -0.035632 Loss_G: 0.028060 Loss_D_real: -0.028812 Loss_D_fake 0.006820
[239/5000][305/535][24383] Loss_D: -0.036056 Loss_G: 0.003648 Loss_D_real: -0.011950 Loss_D_fake 0.024106
[239/5000][310/535][24384] Loss_D: -0.034805 Loss_G: 0.036804 Loss_D_real: -0.036014 Loss_D_fake -0.001209
[239/5000][315/535][24385] Loss_D: -0.032326 Loss_G: -0.014827 Loss_D_real: -0.004160 Loss_D_fake 0.028167
[239/5000][320/535][24386] Loss_D: -0.034108 Loss_G: 0.016202 Loss_D_real: -0.029048 Loss_D_fake 0.005060
[239/5000][325/535][24387] Loss_D: -0.036145 Loss_G: 0.004872 Loss_D_real: -0.019693 Loss_D_fake 0.016451
[239/5000][330/535][24388] Loss_D: -0.035397 Loss_G: 0.039398 Loss_D_real: -0.041655 Loss_D_fake -0.006258
[239/5000][335/535][24389] Loss_D: -0.033714 Loss_G: 0.005587 Loss_D_real: -0.009334 Loss_D_fake 0.024379
[239/5000][340/535][24390] Loss_D: -0.036448 Loss_G: 0.002271 Loss_D_real: -0.013854 Loss_D_fake 0.022594
[239/5000][345/535][24391] Loss_D: -0.035249 Loss_G: 0.021974 Loss_D_real: -0.036073 Loss_D_fake -0.000824
[239/5000][350/535][24392] Loss_D: -0.036128 Loss_G: 0.016398 Loss_D_real: -0.023745 Loss_D_fake 0.012382
[239/5000][355/535][24393] Loss_D: -0.035381 Loss_G: 0.015520 Loss_D_real: -0.020905 Loss_D_fake 0.014475
[239/5000][360/535][24394] Loss_D: -0.035935 Loss_G: 0.019059 Loss_D_real: -0.026522 Loss_D_fake 0.009413
[239/5000][365/535][24395] Loss_D: -0.036314 Loss_G: -0.001706 Loss_D_real: -0.012575 Loss_D_fake 0.023739
[239/5000][370/535][24396] Loss_D: -0.034206 Loss_G: 0.036058 Loss_D_real: -0.039037 Loss_D_fake -0.004831
[239/5000][375/535][24397] Loss_D: -0.034888 Loss_G: 0.021779 Loss_D_real: -0.027159 Loss_D_fake 0.007729
[239/5000][380/535][24398] Loss_D: -0.036145 Loss_G: 0.012220 Loss_D_real: -0.016353 Loss_D_fake 0.019791
[239/5000][385/535][24399] Loss_D: -0.035423 Loss_G: 0.024452 Loss_D_real: -0.027918 Loss_D_fake 0.007506
[239/5000][390/535][24400] Loss_D: -0.035769 Loss_G: 0.000409 Loss_D_real: -0.010438 Loss_D_fake 0.025330
[239/5000][395/535][24401] Loss_D: -0.033846 Loss_G: 0.032353 Loss_D_real: -0.045391 Loss_D_fake -0.011544
[239/5000][400/535][24402] Loss_D: -0.035501 Loss_G: -0.011814 Loss_D_real: -0.015575 Loss_D_fake 0.019926
[239/5000][405/535][24403] Loss_D: -0.033335 Loss_G: 0.030108 Loss_D_real: -0.030587 Loss_D_fake 0.002748
[239/5000][410/535][24404] Loss_D: -0.034163 Loss_G: 0.005318 Loss_D_real: -0.013089 Loss_D_fake 0.021074
[239/5000][415/535][24405] Loss_D: -0.035766 Loss_G: 0.019278 Loss_D_real: -0.024226 Loss_D_fake 0.011540
[239/5000][420/535][24406] Loss_D: -0.033737 Loss_G: 0.028816 Loss_D_real: -0.025353 Loss_D_fake 0.008384
[239/5000][425/535][24407] Loss_D: -0.033452 Loss_G: -0.000843 Loss_D_real: -0.011189 Loss_D_fake 0.022262
[239/5000][430/535][24408] Loss_D: -0.035140 Loss_G: 0.020614 Loss_D_real: -0.030576 Loss_D_fake 0.004564
[239/5000][435/535][24409] Loss_D: -0.035667 Loss_G: 0.001963 Loss_D_real: -0.014178 Loss_D_fake 0.021488
[239/5000][440/535][24410] Loss_D: -0.033269 Loss_G: 0.030624 Loss_D_real: -0.037046 Loss_D_fake -0.003778
[239/5000][445/535][24411] Loss_D: -0.034803 Loss_G: -0.001789 Loss_D_real: -0.010740 Loss_D_fake 0.024063
[239/5000][450/535][24412] Loss_D: -0.033974 Loss_G: 0.008195 Loss_D_real: -0.025159 Loss_D_fake 0.008814
[239/5000][455/535][24413] Loss_D: -0.032034 Loss_G: 0.029309 Loss_D_real: -0.032437 Loss_D_fake -0.000403
[239/5000][460/535][24414] Loss_D: -0.034538 Loss_G: -0.001977 Loss_D_real: -0.011295 Loss_D_fake 0.023244
[239/5000][465/535][24415] Loss_D: -0.035358 Loss_G: 0.016011 Loss_D_real: -0.023407 Loss_D_fake 0.011951
[239/5000][470/535][24416] Loss_D: -0.035144 Loss_G: 0.035513 Loss_D_real: -0.039519 Loss_D_fake -0.004375
[239/5000][475/535][24417] Loss_D: -0.034207 Loss_G: 0.003007 Loss_D_real: -0.006865 Loss_D_fake 0.027342
[239/5000][480/535][24418] Loss_D: -0.033342 Loss_G: 0.024447 Loss_D_real: -0.028467 Loss_D_fake 0.004874
[239/5000][485/535][24419] Loss_D: -0.035541 Loss_G: 0.021588 Loss_D_real: -0.031495 Loss_D_fake 0.004046
[239/5000][490/535][24420] Loss_D: -0.034436 Loss_G: 0.029115 Loss_D_real: -0.029233 Loss_D_fake 0.005202
[239/5000][495/535][24421] Loss_D: -0.034353 Loss_G: -0.015166 Loss_D_real: 0.000026 Loss_D_fake 0.034380
[239/5000][500/535][24422] Loss_D: -0.034314 Loss_G: 0.020959 Loss_D_real: -0.034995 Loss_D_fake -0.000681
[239/5000][505/535][24423] Loss_D: -0.033939 Loss_G: 0.019624 Loss_D_real: -0.027746 Loss_D_fake 0.006193
[239/5000][510/535][24424] Loss_D: -0.033932 Loss_G: 0.021167 Loss_D_real: -0.026972 Loss_D_fake 0.006960
[239/5000][515/535][24425] Loss_D: -0.034883 Loss_G: 0.017686 Loss_D_real: -0.020817 Loss_D_fake 0.014066
[239/5000][520/535][24426] Loss_D: -0.035182 Loss_G: 0.013616 Loss_D_real: -0.024426 Loss_D_fake 0.010756
[239/5000][525/535][24427] Loss_D: -0.033409 Loss_G: 0.041534 Loss_D_real: -0.038019 Loss_D_fake -0.004610
[239/5000][530/535][24428] Loss_D: -0.034935 Loss_G: 0.003232 Loss_D_real: -0.003369 Loss_D_fake 0.031565
[239/5000][535/535][24429] Loss_D: -0.029197 Loss_G: -0.015900 Loss_D_real: -0.008973 Loss_D_fake 0.020224
[240/5000][5/535][24430] Loss_D: -0.034354 Loss_G: 0.004730 Loss_D_real: -0.022220 Loss_D_fake 0.012135
[240/5000][10/535][24431] Loss_D: -0.032707 Loss_G: 0.036294 Loss_D_real: -0.039488 Loss_D_fake -0.006781
[240/5000][15/535][24432] Loss_D: -0.035674 Loss_G: 0.009798 Loss_D_real: -0.021368 Loss_D_fake 0.014306
[240/5000][20/535][24433] Loss_D: -0.034946 Loss_G: 0.022327 Loss_D_real: -0.024312 Loss_D_fake 0.010634
[240/5000][25/535][24434] Loss_D: -0.037337 Loss_G: 0.011907 Loss_D_real: -0.017649 Loss_D_fake 0.019688
[240/5000][30/535][24435] Loss_D: -0.035202 Loss_G: 0.029092 Loss_D_real: -0.032158 Loss_D_fake 0.003044
[240/5000][35/535][24436] Loss_D: -0.034703 Loss_G: 0.036468 Loss_D_real: -0.031355 Loss_D_fake 0.003348
[240/5000][40/535][24437] Loss_D: -0.034997 Loss_G: -0.004748 Loss_D_real: -0.007664 Loss_D_fake 0.027333
[240/5000][45/535][24438] Loss_D: -0.032941 Loss_G: 0.034223 Loss_D_real: -0.039371 Loss_D_fake -0.006429
[240/5000][50/535][24439] Loss_D: -0.033599 Loss_G: 0.022241 Loss_D_real: -0.025546 Loss_D_fake 0.008053
[240/5000][55/535][24440] Loss_D: -0.034731 Loss_G: 0.027991 Loss_D_real: -0.036083 Loss_D_fake -0.001351
[240/5000][60/535][24441] Loss_D: -0.034431 Loss_G: 0.013606 Loss_D_real: -0.017716 Loss_D_fake 0.016716
[240/5000][65/535][24442] Loss_D: -0.035278 Loss_G: 0.006942 Loss_D_real: -0.017394 Loss_D_fake 0.017884
[240/5000][70/535][24443] Loss_D: -0.035965 Loss_G: 0.012069 Loss_D_real: -0.023358 Loss_D_fake 0.012607
[240/5000][75/535][24444] Loss_D: -0.032143 Loss_G: 0.044227 Loss_D_real: -0.044628 Loss_D_fake -0.012484
[240/5000][80/535][24445] Loss_D: -0.035831 Loss_G: -0.002662 Loss_D_real: -0.009212 Loss_D_fake 0.026619
[240/5000][85/535][24446] Loss_D: -0.033888 Loss_G: 0.016671 Loss_D_real: -0.020270 Loss_D_fake 0.013618
[240/5000][90/535][24447] Loss_D: -0.035687 Loss_G: 0.009144 Loss_D_real: -0.019799 Loss_D_fake 0.015887
[240/5000][95/535][24448] Loss_D: -0.034316 Loss_G: 0.019897 Loss_D_real: -0.021971 Loss_D_fake 0.012345
[240/5000][100/535][24449] Loss_D: -0.036328 Loss_G: 0.023961 Loss_D_real: -0.023124 Loss_D_fake 0.013204
[240/5000][105/535][24450] Loss_D: -0.035716 Loss_G: 0.035195 Loss_D_real: -0.034376 Loss_D_fake 0.001340
[240/5000][110/535][24451] Loss_D: -0.035393 Loss_G: 0.013053 Loss_D_real: -0.020783 Loss_D_fake 0.014610
[240/5000][115/535][24452] Loss_D: -0.033331 Loss_G: 0.028590 Loss_D_real: -0.040532 Loss_D_fake -0.007201
[240/5000][120/535][24453] Loss_D: -0.036436 Loss_G: 0.008649 Loss_D_real: -0.016702 Loss_D_fake 0.019734
[240/5000][125/535][24454] Loss_D: -0.035551 Loss_G: 0.023040 Loss_D_real: -0.027988 Loss_D_fake 0.007562
[240/5000][130/535][24455] Loss_D: -0.034975 Loss_G: 0.028256 Loss_D_real: -0.032802 Loss_D_fake 0.002173
[240/5000][135/535][24456] Loss_D: -0.034961 Loss_G: 0.022466 Loss_D_real: -0.025374 Loss_D_fake 0.009587
[240/5000][140/535][24457] Loss_D: -0.036296 Loss_G: 0.013884 Loss_D_real: -0.021922 Loss_D_fake 0.014374
[240/5000][145/535][24458] Loss_D: -0.035349 Loss_G: 0.027458 Loss_D_real: -0.031649 Loss_D_fake 0.003701
[240/5000][150/535][24459] Loss_D: -0.034691 Loss_G: -0.002735 Loss_D_real: -0.008758 Loss_D_fake 0.025933
[240/5000][155/535][24460] Loss_D: -0.034027 Loss_G: 0.020659 Loss_D_real: -0.020174 Loss_D_fake 0.013853
[240/5000][160/535][24461] Loss_D: -0.035111 Loss_G: 0.029768 Loss_D_real: -0.034957 Loss_D_fake 0.000154
[240/5000][165/535][24462] Loss_D: -0.035454 Loss_G: 0.015934 Loss_D_real: -0.027628 Loss_D_fake 0.007826
[240/5000][170/535][24463] Loss_D: -0.035606 Loss_G: 0.034900 Loss_D_real: -0.036884 Loss_D_fake -0.001278
[240/5000][175/535][24464] Loss_D: -0.034497 Loss_G: -0.010472 Loss_D_real: -0.003703 Loss_D_fake 0.030795
[240/5000][180/535][24465] Loss_D: -0.033789 Loss_G: 0.015307 Loss_D_real: -0.024305 Loss_D_fake 0.009484
[240/5000][185/535][24466] Loss_D: -0.035289 Loss_G: 0.019947 Loss_D_real: -0.026074 Loss_D_fake 0.009215
[240/5000][190/535][24467] Loss_D: -0.033636 Loss_G: -0.011570 Loss_D_real: -0.009260 Loss_D_fake 0.024376
[240/5000][195/535][24468] Loss_D: -0.031660 Loss_G: 0.030970 Loss_D_real: -0.042865 Loss_D_fake -0.011205
[240/5000][200/535][24469] Loss_D: -0.034007 Loss_G: 0.010962 Loss_D_real: -0.013744 Loss_D_fake 0.020263
[240/5000][205/535][24470] Loss_D: -0.035669 Loss_G: 0.031617 Loss_D_real: -0.029499 Loss_D_fake 0.006170
[240/5000][210/535][24471] Loss_D: -0.034797 Loss_G: 0.012761 Loss_D_real: -0.019656 Loss_D_fake 0.015141
[240/5000][215/535][24472] Loss_D: -0.033758 Loss_G: 0.001467 Loss_D_real: -0.013695 Loss_D_fake 0.020063
[240/5000][220/535][24473] Loss_D: -0.034636 Loss_G: 0.023701 Loss_D_real: -0.025707 Loss_D_fake 0.008929
[240/5000][225/535][24474] Loss_D: -0.034734 Loss_G: 0.017748 Loss_D_real: -0.016258 Loss_D_fake 0.018475
[240/5000][230/535][24475] Loss_D: -0.034436 Loss_G: 0.038698 Loss_D_real: -0.033808 Loss_D_fake 0.000628
[240/5000][235/535][24476] Loss_D: -0.034355 Loss_G: -0.009993 Loss_D_real: -0.005806 Loss_D_fake 0.028549
[240/5000][240/535][24477] Loss_D: -0.034819 Loss_G: 0.029600 Loss_D_real: -0.033676 Loss_D_fake 0.001143
[240/5000][245/535][24478] Loss_D: -0.035765 Loss_G: 0.020442 Loss_D_real: -0.031162 Loss_D_fake 0.004603
[240/5000][250/535][24479] Loss_D: -0.034863 Loss_G: 0.004826 Loss_D_real: -0.015754 Loss_D_fake 0.019108
[240/5000][255/535][24480] Loss_D: -0.034005 Loss_G: 0.006468 Loss_D_real: -0.020041 Loss_D_fake 0.013964
[240/5000][260/535][24481] Loss_D: -0.033254 Loss_G: 0.003311 Loss_D_real: -0.011743 Loss_D_fake 0.021510
[240/5000][265/535][24482] Loss_D: -0.032636 Loss_G: 0.040360 Loss_D_real: -0.041246 Loss_D_fake -0.008609
[240/5000][270/535][24483] Loss_D: -0.035041 Loss_G: 0.011846 Loss_D_real: -0.019671 Loss_D_fake 0.015370
[240/5000][275/535][24484] Loss_D: -0.034777 Loss_G: 0.030722 Loss_D_real: -0.033954 Loss_D_fake 0.000823
[240/5000][280/535][24485] Loss_D: -0.035312 Loss_G: 0.002986 Loss_D_real: -0.012032 Loss_D_fake 0.023280
[240/5000][285/535][24486] Loss_D: -0.033966 Loss_G: 0.039465 Loss_D_real: -0.037960 Loss_D_fake -0.003994
[240/5000][290/535][24487] Loss_D: -0.033012 Loss_G: -0.013496 Loss_D_real: -0.003459 Loss_D_fake 0.029553
[240/5000][295/535][24488] Loss_D: -0.034011 Loss_G: 0.025402 Loss_D_real: -0.032387 Loss_D_fake 0.001624
[240/5000][300/535][24489] Loss_D: -0.033415 Loss_G: -0.011556 Loss_D_real: -0.009574 Loss_D_fake 0.023841
[240/5000][305/535][24490] Loss_D: -0.029736 Loss_G: 0.037916 Loss_D_real: -0.038123 Loss_D_fake -0.008387
[240/5000][310/535][24491] Loss_D: -0.033834 Loss_G: 0.039180 Loss_D_real: -0.039005 Loss_D_fake -0.005171
[240/5000][315/535][24492] Loss_D: -0.035723 Loss_G: 0.004529 Loss_D_real: -0.016895 Loss_D_fake 0.018828
[240/5000][320/535][24493] Loss_D: -0.033965 Loss_G: 0.016427 Loss_D_real: -0.022944 Loss_D_fake 0.011021
[240/5000][325/535][24494] Loss_D: -0.036482 Loss_G: 0.032115 Loss_D_real: -0.034593 Loss_D_fake 0.001889
[240/5000][330/535][24495] Loss_D: -0.035133 Loss_G: 0.019521 Loss_D_real: -0.022018 Loss_D_fake 0.013114
[240/5000][335/535][24496] Loss_D: -0.035796 Loss_G: 0.020109 Loss_D_real: -0.022174 Loss_D_fake 0.013621
[240/5000][340/535][24497] Loss_D: -0.036268 Loss_G: 0.021534 Loss_D_real: -0.026559 Loss_D_fake 0.009709
[240/5000][345/535][24498] Loss_D: -0.033846 Loss_G: 0.029746 Loss_D_real: -0.033111 Loss_D_fake 0.000735
[240/5000][350/535][24499] Loss_D: -0.035844 Loss_G: 0.030553 Loss_D_real: -0.036625 Loss_D_fake -0.000781
[240/5000][355/535][24500] Loss_D: -0.035091 Loss_G: 0.012406 Loss_D_real: -0.023901 Loss_D_fake 0.011190
[240/5000][455/535][24501] Loss_D: -0.037136 Loss_G: 0.041501 Loss_D_real: -0.039197 Loss_D_fake -0.002061
[240/5000][460/535][24502] Loss_D: -0.035255 Loss_G: 0.004636 Loss_D_real: -0.010934 Loss_D_fake 0.024322
[240/5000][465/535][24503] Loss_D: -0.033866 Loss_G: 0.007513 Loss_D_real: -0.023362 Loss_D_fake 0.010504
[240/5000][470/535][24504] Loss_D: -0.033956 Loss_G: 0.017612 Loss_D_real: -0.027722 Loss_D_fake 0.006234
[240/5000][475/535][24505] Loss_D: -0.033828 Loss_G: 0.008798 Loss_D_real: -0.017273 Loss_D_fake 0.016555
[240/5000][480/535][24506] Loss_D: -0.034915 Loss_G: 0.031612 Loss_D_real: -0.041528 Loss_D_fake -0.006614
[240/5000][485/535][24507] Loss_D: -0.033909 Loss_G: 0.001309 Loss_D_real: -0.010181 Loss_D_fake 0.023728
[240/5000][490/535][24508] Loss_D: -0.033923 Loss_G: 0.018347 Loss_D_real: -0.024473 Loss_D_fake 0.009449
[240/5000][495/535][24509] Loss_D: -0.034985 Loss_G: 0.020277 Loss_D_real: -0.031142 Loss_D_fake 0.003843
[240/5000][500/535][24510] Loss_D: -0.033493 Loss_G: -0.004197 Loss_D_real: -0.006982 Loss_D_fake 0.026511
[240/5000][505/535][24511] Loss_D: -0.034538 Loss_G: 0.014961 Loss_D_real: -0.024435 Loss_D_fake 0.010103
[240/5000][510/535][24512] Loss_D: -0.035320 Loss_G: 0.034048 Loss_D_real: -0.031375 Loss_D_fake 0.003945
[240/5000][515/535][24513] Loss_D: -0.032783 Loss_G: 0.017941 Loss_D_real: -0.022350 Loss_D_fake 0.010433
[240/5000][520/535][24514] Loss_D: -0.034059 Loss_G: 0.028935 Loss_D_real: -0.027840 Loss_D_fake 0.006219
[240/5000][525/535][24515] Loss_D: -0.034504 Loss_G: 0.011881 Loss_D_real: -0.010785 Loss_D_fake 0.023718
[240/5000][530/535][24516] Loss_D: -0.035390 Loss_G: 0.003862 Loss_D_real: -0.017310 Loss_D_fake 0.018080
[240/5000][535/535][24517] Loss_D: -0.036293 Loss_G: 0.012288 Loss_D_real: -0.005728 Loss_D_fake 0.030565
[241/5000][5/535][24518] Loss_D: -0.035151 Loss_G: 0.012238 Loss_D_real: -0.027659 Loss_D_fake 0.007492
[241/5000][10/535][24519] Loss_D: -0.034060 Loss_G: 0.031082 Loss_D_real: -0.030648 Loss_D_fake 0.003412
[241/5000][15/535][24520] Loss_D: -0.036485 Loss_G: 0.024145 Loss_D_real: -0.025471 Loss_D_fake 0.011014
[241/5000][20/535][24521] Loss_D: -0.036775 Loss_G: 0.029558 Loss_D_real: -0.035923 Loss_D_fake 0.000853
[241/5000][25/535][24522] Loss_D: -0.036395 Loss_G: 0.013774 Loss_D_real: -0.023336 Loss_D_fake 0.013058
[241/5000][30/535][24523] Loss_D: -0.036539 Loss_G: 0.000004 Loss_D_real: -0.011853 Loss_D_fake 0.024687
[241/5000][35/535][24524] Loss_D: -0.037359 Loss_G: 0.024336 Loss_D_real: -0.026585 Loss_D_fake 0.010774
[241/5000][40/535][24525] Loss_D: -0.035152 Loss_G: -0.011090 Loss_D_real: 0.001854 Loss_D_fake 0.037007
[241/5000][45/535][24526] Loss_D: -0.034429 Loss_G: 0.020489 Loss_D_real: -0.027284 Loss_D_fake 0.007145
[241/5000][50/535][24527] Loss_D: -0.035218 Loss_G: 0.030855 Loss_D_real: -0.028560 Loss_D_fake 0.006657
[241/5000][55/535][24528] Loss_D: -0.033807 Loss_G: 0.010583 Loss_D_real: -0.018763 Loss_D_fake 0.015045
[241/5000][60/535][24529] Loss_D: -0.036330 Loss_G: 0.019811 Loss_D_real: -0.021633 Loss_D_fake 0.014697
[241/5000][65/535][24530] Loss_D: -0.034140 Loss_G: 0.029818 Loss_D_real: -0.033393 Loss_D_fake 0.000748
[241/5000][70/535][24531] Loss_D: -0.035520 Loss_G: 0.002757 Loss_D_real: -0.009161 Loss_D_fake 0.026358
[241/5000][75/535][24532] Loss_D: -0.034345 Loss_G: 0.031615 Loss_D_real: -0.032703 Loss_D_fake 0.001642
[241/5000][80/535][24533] Loss_D: -0.035325 Loss_G: 0.001068 Loss_D_real: -0.014019 Loss_D_fake 0.021306
[241/5000][85/535][24534] Loss_D: -0.035354 Loss_G: 0.024585 Loss_D_real: -0.029479 Loss_D_fake 0.005875
[241/5000][90/535][24535] Loss_D: -0.034544 Loss_G: 0.018542 Loss_D_real: -0.019987 Loss_D_fake 0.014557
[241/5000][95/535][24536] Loss_D: -0.034093 Loss_G: 0.039784 Loss_D_real: -0.031427 Loss_D_fake 0.002666
[241/5000][100/535][24537] Loss_D: -0.033032 Loss_G: -0.007670 Loss_D_real: -0.007250 Loss_D_fake 0.025782
[241/5000][105/535][24538] Loss_D: -0.033590 Loss_G: 0.025987 Loss_D_real: -0.037261 Loss_D_fake -0.003672
[241/5000][110/535][24539] Loss_D: -0.035331 Loss_G: 0.018060 Loss_D_real: -0.024923 Loss_D_fake 0.010408
[241/5000][115/535][24540] Loss_D: -0.034866 Loss_G: -0.003204 Loss_D_real: -0.009667 Loss_D_fake 0.025199
[241/5000][120/535][24541] Loss_D: -0.032968 Loss_G: 0.014885 Loss_D_real: -0.024201 Loss_D_fake 0.008766
[241/5000][125/535][24542] Loss_D: -0.034826 Loss_G: 0.011511 Loss_D_real: -0.019567 Loss_D_fake 0.015259
[241/5000][130/535][24543] Loss_D: -0.034720 Loss_G: 0.018175 Loss_D_real: -0.024971 Loss_D_fake 0.009749
[241/5000][135/535][24544] Loss_D: -0.033449 Loss_G: 0.004588 Loss_D_real: -0.012520 Loss_D_fake 0.020929
[241/5000][140/535][24545] Loss_D: -0.033223 Loss_G: 0.033328 Loss_D_real: -0.025209 Loss_D_fake 0.008013
[241/5000][145/535][24546] Loss_D: -0.034081 Loss_G: 0.005613 Loss_D_real: -0.007412 Loss_D_fake 0.026669
[241/5000][150/535][24547] Loss_D: -0.034834 Loss_G: 0.001843 Loss_D_real: -0.023723 Loss_D_fake 0.011111
[241/5000][155/535][24548] Loss_D: -0.034552 Loss_G: 0.035770 Loss_D_real: -0.037523 Loss_D_fake -0.002970
[241/5000][160/535][24549] Loss_D: -0.034303 Loss_G: -0.008085 Loss_D_real: 0.000902 Loss_D_fake 0.035204
[241/5000][165/535][24550] Loss_D: -0.036176 Loss_G: 0.007514 Loss_D_real: -0.021947 Loss_D_fake 0.014229
[241/5000][170/535][24551] Loss_D: -0.034876 Loss_G: 0.031613 Loss_D_real: -0.031930 Loss_D_fake 0.002946
[241/5000][175/535][24552] Loss_D: -0.033347 Loss_G: -0.002239 Loss_D_real: -0.001910 Loss_D_fake 0.031437
[241/5000][180/535][24553] Loss_D: -0.033474 Loss_G: 0.035167 Loss_D_real: -0.042826 Loss_D_fake -0.009352
[241/5000][185/535][24554] Loss_D: -0.034146 Loss_G: 0.021180 Loss_D_real: -0.027958 Loss_D_fake 0.006188
[241/5000][190/535][24555] Loss_D: -0.036281 Loss_G: 0.014903 Loss_D_real: -0.024506 Loss_D_fake 0.011775
[241/5000][195/535][24556] Loss_D: -0.035586 Loss_G: 0.014221 Loss_D_real: -0.017718 Loss_D_fake 0.017867
[241/5000][200/535][24557] Loss_D: -0.036209 Loss_G: 0.003485 Loss_D_real: -0.016573 Loss_D_fake 0.019636
[241/5000][205/535][24558] Loss_D: -0.034296 Loss_G: 0.017779 Loss_D_real: -0.019761 Loss_D_fake 0.014535
[241/5000][210/535][24559] Loss_D: -0.034270 Loss_G: 0.014337 Loss_D_real: -0.023839 Loss_D_fake 0.010431
[241/5000][215/535][24560] Loss_D: -0.034900 Loss_G: 0.016020 Loss_D_real: -0.019852 Loss_D_fake 0.015048
[241/5000][220/535][24561] Loss_D: -0.033524 Loss_G: -0.008531 Loss_D_real: -0.008020 Loss_D_fake 0.025505
[241/5000][225/535][24562] Loss_D: -0.032353 Loss_G: 0.032506 Loss_D_real: -0.029609 Loss_D_fake 0.002744
[241/5000][230/535][24563] Loss_D: -0.034688 Loss_G: 0.010898 Loss_D_real: -0.011812 Loss_D_fake 0.022876
[241/5000][235/535][24564] Loss_D: -0.035785 Loss_G: 0.023125 Loss_D_real: -0.020033 Loss_D_fake 0.015752
[241/5000][240/535][24565] Loss_D: -0.035666 Loss_G: 0.019291 Loss_D_real: -0.026082 Loss_D_fake 0.009584
[241/5000][245/535][24566] Loss_D: -0.035726 Loss_G: 0.006236 Loss_D_real: -0.018971 Loss_D_fake 0.016756
[241/5000][250/535][24567] Loss_D: -0.034899 Loss_G: 0.040622 Loss_D_real: -0.041559 Loss_D_fake -0.006660
[241/5000][255/535][24568] Loss_D: -0.034510 Loss_G: -0.014811 Loss_D_real: -0.006347 Loss_D_fake 0.028163
[241/5000][260/535][24569] Loss_D: -0.033002 Loss_G: 0.038284 Loss_D_real: -0.037880 Loss_D_fake -0.004878
[241/5000][265/535][24570] Loss_D: -0.034227 Loss_G: 0.007995 Loss_D_real: -0.020367 Loss_D_fake 0.013860
[241/5000][270/535][24571] Loss_D: -0.034876 Loss_G: 0.010153 Loss_D_real: -0.025508 Loss_D_fake 0.009367
[241/5000][275/535][24572] Loss_D: -0.033139 Loss_G: 0.028541 Loss_D_real: -0.034680 Loss_D_fake -0.001541
[241/5000][280/535][24573] Loss_D: -0.035268 Loss_G: 0.010426 Loss_D_real: -0.022895 Loss_D_fake 0.012373
[241/5000][285/535][24574] Loss_D: -0.035189 Loss_G: 0.023585 Loss_D_real: -0.037154 Loss_D_fake -0.001965
[241/5000][290/535][24575] Loss_D: -0.035210 Loss_G: 0.024577 Loss_D_real: -0.028944 Loss_D_fake 0.006266
[241/5000][295/535][24576] Loss_D: -0.034576 Loss_G: 0.022244 Loss_D_real: -0.033019 Loss_D_fake 0.001557
[241/5000][300/535][24577] Loss_D: -0.036235 Loss_G: 0.000351 Loss_D_real: -0.017904 Loss_D_fake 0.018331
[241/5000][305/535][24578] Loss_D: -0.034032 Loss_G: 0.016083 Loss_D_real: -0.019344 Loss_D_fake 0.014688
[241/5000][310/535][24579] Loss_D: -0.033540 Loss_G: -0.009719 Loss_D_real: 0.000595 Loss_D_fake 0.034135
[241/5000][315/535][24580] Loss_D: -0.033872 Loss_G: 0.020145 Loss_D_real: -0.030818 Loss_D_fake 0.003054
[241/5000][320/535][24581] Loss_D: -0.035116 Loss_G: 0.028235 Loss_D_real: -0.025322 Loss_D_fake 0.009794
[241/5000][325/535][24582] Loss_D: -0.034868 Loss_G: 0.020429 Loss_D_real: -0.023542 Loss_D_fake 0.011326
[241/5000][330/535][24583] Loss_D: -0.036132 Loss_G: 0.008429 Loss_D_real: -0.018762 Loss_D_fake 0.017370
[241/5000][335/535][24584] Loss_D: -0.035141 Loss_G: 0.027489 Loss_D_real: -0.036723 Loss_D_fake -0.001582
[241/5000][340/535][24585] Loss_D: -0.035741 Loss_G: 0.007831 Loss_D_real: -0.016334 Loss_D_fake 0.019407
[241/5000][345/535][24586] Loss_D: -0.034510 Loss_G: 0.002790 Loss_D_real: -0.012139 Loss_D_fake 0.022371
[241/5000][350/535][24587] Loss_D: -0.034514 Loss_G: 0.020733 Loss_D_real: -0.029942 Loss_D_fake 0.004571
[241/5000][355/535][24588] Loss_D: -0.032909 Loss_G: 0.035696 Loss_D_real: -0.032978 Loss_D_fake -0.000069
[241/5000][360/535][24589] Loss_D: -0.034134 Loss_G: -0.005004 Loss_D_real: -0.004754 Loss_D_fake 0.029380
[241/5000][365/535][24590] Loss_D: -0.035370 Loss_G: 0.005216 Loss_D_real: -0.020029 Loss_D_fake 0.015341
[241/5000][370/535][24591] Loss_D: -0.034941 Loss_G: 0.022755 Loss_D_real: -0.021157 Loss_D_fake 0.013784
[241/5000][375/535][24592] Loss_D: -0.034652 Loss_G: 0.007598 Loss_D_real: -0.016818 Loss_D_fake 0.017834
[241/5000][380/535][24593] Loss_D: -0.033045 Loss_G: 0.033995 Loss_D_real: -0.035460 Loss_D_fake -0.002415
[241/5000][385/535][24594] Loss_D: -0.033129 Loss_G: 0.032336 Loss_D_real: -0.032686 Loss_D_fake 0.000443
[241/5000][390/535][24595] Loss_D: -0.035456 Loss_G: 0.008246 Loss_D_real: -0.021662 Loss_D_fake 0.013794
[241/5000][395/535][24596] Loss_D: -0.033724 Loss_G: 0.028561 Loss_D_real: -0.023237 Loss_D_fake 0.010488
[241/5000][400/535][24597] Loss_D: -0.031926 Loss_G: -0.021213 Loss_D_real: 0.006164 Loss_D_fake 0.038090
[241/5000][405/535][24598] Loss_D: -0.032992 Loss_G: 0.026420 Loss_D_real: -0.035584 Loss_D_fake -0.002592
[241/5000][410/535][24599] Loss_D: -0.032857 Loss_G: -0.005612 Loss_D_real: -0.006308 Loss_D_fake 0.026549
[241/5000][415/535][24600] Loss_D: -0.032748 Loss_G: 0.017545 Loss_D_real: -0.027437 Loss_D_fake 0.005311
[241/5000][420/535][24601] Loss_D: -0.033645 Loss_G: 0.027090 Loss_D_real: -0.031538 Loss_D_fake 0.002107
[241/5000][425/535][24602] Loss_D: -0.034737 Loss_G: 0.029521 Loss_D_real: -0.033456 Loss_D_fake 0.001282
[241/5000][430/535][24603] Loss_D: -0.034842 Loss_G: 0.008073 Loss_D_real: -0.021685 Loss_D_fake 0.013157
[241/5000][435/535][24604] Loss_D: -0.034708 Loss_G: 0.026341 Loss_D_real: -0.022197 Loss_D_fake 0.012511
[241/5000][440/535][24605] Loss_D: -0.034493 Loss_G: 0.016578 Loss_D_real: -0.024175 Loss_D_fake 0.010318
[241/5000][445/535][24606] Loss_D: -0.035279 Loss_G: 0.025657 Loss_D_real: -0.035657 Loss_D_fake -0.000378
[241/5000][450/535][24607] Loss_D: -0.035497 Loss_G: 0.022227 Loss_D_real: -0.028529 Loss_D_fake 0.006968
[241/5000][455/535][24608] Loss_D: -0.033458 Loss_G: 0.003748 Loss_D_real: -0.019032 Loss_D_fake 0.014426
[241/5000][460/535][24609] Loss_D: -0.035080 Loss_G: 0.037972 Loss_D_real: -0.039313 Loss_D_fake -0.004232
[241/5000][465/535][24610] Loss_D: -0.032213 Loss_G: -0.005027 Loss_D_real: -0.004123 Loss_D_fake 0.028090
[241/5000][470/535][24611] Loss_D: -0.032632 Loss_G: 0.030657 Loss_D_real: -0.032756 Loss_D_fake -0.000123
[241/5000][475/535][24612] Loss_D: -0.033782 Loss_G: -0.006635 Loss_D_real: 0.001228 Loss_D_fake 0.035010
[241/5000][480/535][24613] Loss_D: -0.034276 Loss_G: 0.036777 Loss_D_real: -0.029482 Loss_D_fake 0.004795
[241/5000][485/535][24614] Loss_D: -0.034355 Loss_G: 0.005019 Loss_D_real: -0.014503 Loss_D_fake 0.019852
[241/5000][490/535][24615] Loss_D: -0.035095 Loss_G: 0.012565 Loss_D_real: -0.023184 Loss_D_fake 0.011911
[241/5000][495/535][24616] Loss_D: -0.033167 Loss_G: 0.029502 Loss_D_real: -0.038159 Loss_D_fake -0.004992
[241/5000][500/535][24617] Loss_D: -0.034651 Loss_G: 0.018198 Loss_D_real: -0.022772 Loss_D_fake 0.011880
[241/5000][505/535][24618] Loss_D: -0.034927 Loss_G: 0.001820 Loss_D_real: -0.013964 Loss_D_fake 0.020963
[241/5000][510/535][24619] Loss_D: -0.035396 Loss_G: 0.023602 Loss_D_real: -0.022061 Loss_D_fake 0.013335
[241/5000][515/535][24620] Loss_D: -0.033601 Loss_G: 0.029241 Loss_D_real: -0.034301 Loss_D_fake -0.000699
[241/5000][520/535][24621] Loss_D: -0.034351 Loss_G: -0.003737 Loss_D_real: -0.000540 Loss_D_fake 0.033811
[241/5000][525/535][24622] Loss_D: -0.033894 Loss_G: 0.022019 Loss_D_real: -0.030713 Loss_D_fake 0.003182
[241/5000][530/535][24623] Loss_D: -0.034626 Loss_G: 0.006303 Loss_D_real: -0.024640 Loss_D_fake 0.009987
[241/5000][535/535][24624] Loss_D: -0.038359 Loss_G: 0.033173 Loss_D_real: -0.046876 Loss_D_fake -0.008517
[242/5000][5/535][24625] Loss_D: -0.033390 Loss_G: 0.012005 Loss_D_real: -0.029967 Loss_D_fake 0.003422
[242/5000][10/535][24626] Loss_D: -0.034900 Loss_G: 0.028057 Loss_D_real: -0.027519 Loss_D_fake 0.007381
[242/5000][15/535][24627] Loss_D: -0.035573 Loss_G: 0.000750 Loss_D_real: -0.024085 Loss_D_fake 0.011489
[242/5000][20/535][24628] Loss_D: -0.034228 Loss_G: 0.025100 Loss_D_real: -0.034934 Loss_D_fake -0.000706
[242/5000][25/535][24629] Loss_D: -0.034288 Loss_G: 0.020029 Loss_D_real: -0.024897 Loss_D_fake 0.009391
[242/5000][30/535][24630] Loss_D: -0.035163 Loss_G: 0.022061 Loss_D_real: -0.025344 Loss_D_fake 0.009819
[242/5000][35/535][24631] Loss_D: -0.035324 Loss_G: 0.032687 Loss_D_real: -0.030981 Loss_D_fake 0.004342
[242/5000][40/535][24632] Loss_D: -0.033995 Loss_G: 0.004331 Loss_D_real: -0.010749 Loss_D_fake 0.023246
[242/5000][45/535][24633] Loss_D: -0.032300 Loss_G: 0.032820 Loss_D_real: -0.032530 Loss_D_fake -0.000229
[242/5000][50/535][24634] Loss_D: -0.034013 Loss_G: 0.012980 Loss_D_real: -0.017301 Loss_D_fake 0.016712
[242/5000][55/535][24635] Loss_D: -0.035096 Loss_G: 0.027275 Loss_D_real: -0.028211 Loss_D_fake 0.006886
[242/5000][60/535][24636] Loss_D: -0.034686 Loss_G: 0.005261 Loss_D_real: -0.014957 Loss_D_fake 0.019729
[242/5000][65/535][24637] Loss_D: -0.033456 Loss_G: 0.043512 Loss_D_real: -0.044414 Loss_D_fake -0.010958
[242/5000][70/535][24638] Loss_D: -0.034308 Loss_G: 0.005623 Loss_D_real: -0.021601 Loss_D_fake 0.012707
[242/5000][75/535][24639] Loss_D: -0.034255 Loss_G: 0.006996 Loss_D_real: -0.021890 Loss_D_fake 0.012365
[242/5000][80/535][24640] Loss_D: -0.035812 Loss_G: 0.024312 Loss_D_real: -0.032081 Loss_D_fake 0.003731
[242/5000][85/535][24641] Loss_D: -0.034406 Loss_G: 0.000743 Loss_D_real: -0.014299 Loss_D_fake 0.020108
[242/5000][90/535][24642] Loss_D: -0.035632 Loss_G: 0.033354 Loss_D_real: -0.035867 Loss_D_fake -0.000235
[242/5000][95/535][24643] Loss_D: -0.033079 Loss_G: -0.014406 Loss_D_real: 0.003610 Loss_D_fake 0.036689
[242/5000][100/535][24644] Loss_D: -0.034300 Loss_G: 0.029801 Loss_D_real: -0.032199 Loss_D_fake 0.002101
[242/5000][105/535][24645] Loss_D: -0.034500 Loss_G: 0.001979 Loss_D_real: -0.009654 Loss_D_fake 0.024845
[242/5000][110/535][24646] Loss_D: -0.033963 Loss_G: 0.033639 Loss_D_real: -0.038336 Loss_D_fake -0.004373
[242/5000][115/535][24647] Loss_D: -0.035553 Loss_G: 0.005102 Loss_D_real: -0.011108 Loss_D_fake 0.024445
[242/5000][120/535][24648] Loss_D: -0.034867 Loss_G: 0.006770 Loss_D_real: -0.016083 Loss_D_fake 0.018783
[242/5000][125/535][24649] Loss_D: -0.034553 Loss_G: 0.015711 Loss_D_real: -0.025960 Loss_D_fake 0.008594
[242/5000][130/535][24650] Loss_D: -0.034248 Loss_G: 0.029304 Loss_D_real: -0.028644 Loss_D_fake 0.005604
[242/5000][135/535][24651] Loss_D: -0.034167 Loss_G: 0.001053 Loss_D_real: -0.008635 Loss_D_fake 0.025532
[242/5000][140/535][24652] Loss_D: -0.035866 Loss_G: 0.034044 Loss_D_real: -0.032180 Loss_D_fake 0.003686
[242/5000][145/535][24653] Loss_D: -0.035162 Loss_G: 0.022646 Loss_D_real: -0.028367 Loss_D_fake 0.006795
[242/5000][150/535][24654] Loss_D: -0.034692 Loss_G: 0.002218 Loss_D_real: -0.010559 Loss_D_fake 0.024133
[242/5000][155/535][24655] Loss_D: -0.037334 Loss_G: 0.015001 Loss_D_real: -0.020335 Loss_D_fake 0.016998
[242/5000][160/535][24656] Loss_D: -0.035734 Loss_G: 0.015064 Loss_D_real: -0.026881 Loss_D_fake 0.008853
[242/5000][165/535][24657] Loss_D: -0.035304 Loss_G: 0.031664 Loss_D_real: -0.032220 Loss_D_fake 0.003084
[242/5000][170/535][24658] Loss_D: -0.036020 Loss_G: 0.015762 Loss_D_real: -0.024347 Loss_D_fake 0.011674
[242/5000][175/535][24659] Loss_D: -0.034817 Loss_G: 0.003823 Loss_D_real: -0.014175 Loss_D_fake 0.020643
[242/5000][180/535][24660] Loss_D: -0.031521 Loss_G: 0.045874 Loss_D_real: -0.046401 Loss_D_fake -0.014879
[242/5000][185/535][24661] Loss_D: -0.034215 Loss_G: 0.003820 Loss_D_real: -0.017806 Loss_D_fake 0.016409
[242/5000][190/535][24662] Loss_D: -0.033436 Loss_G: 0.027429 Loss_D_real: -0.037505 Loss_D_fake -0.004070
[242/5000][195/535][24663] Loss_D: -0.036048 Loss_G: 0.025920 Loss_D_real: -0.031557 Loss_D_fake 0.004490
[242/5000][200/535][24664] Loss_D: -0.037065 Loss_G: 0.004491 Loss_D_real: -0.017062 Loss_D_fake 0.020003
[242/5000][205/535][24665] Loss_D: -0.035022 Loss_G: 0.032855 Loss_D_real: -0.036001 Loss_D_fake -0.000980
[242/5000][210/535][24666] Loss_D: -0.034596 Loss_G: 0.002888 Loss_D_real: -0.008048 Loss_D_fake 0.026548
[242/5000][215/535][24667] Loss_D: -0.033912 Loss_G: 0.031487 Loss_D_real: -0.030779 Loss_D_fake 0.003133
[242/5000][220/535][24668] Loss_D: -0.034958 Loss_G: 0.041341 Loss_D_real: -0.036052 Loss_D_fake -0.001094
[242/5000][225/535][24669] Loss_D: -0.034833 Loss_G: -0.007279 Loss_D_real: -0.006433 Loss_D_fake 0.028400
[242/5000][230/535][24670] Loss_D: -0.034031 Loss_G: 0.023024 Loss_D_real: -0.025970 Loss_D_fake 0.008060
[242/5000][235/535][24671] Loss_D: -0.034018 Loss_G: 0.014891 Loss_D_real: -0.021380 Loss_D_fake 0.012638
[242/5000][240/535][24672] Loss_D: -0.034269 Loss_G: 0.015494 Loss_D_real: -0.027074 Loss_D_fake 0.007195
[242/5000][245/535][24673] Loss_D: -0.035054 Loss_G: 0.013624 Loss_D_real: -0.026929 Loss_D_fake 0.008125
[242/5000][250/535][24674] Loss_D: -0.032443 Loss_G: 0.028207 Loss_D_real: -0.039616 Loss_D_fake -0.007173
[242/5000][255/535][24675] Loss_D: -0.036172 Loss_G: 0.006192 Loss_D_real: -0.017491 Loss_D_fake 0.018682
[242/5000][260/535][24676] Loss_D: -0.035277 Loss_G: 0.020861 Loss_D_real: -0.023864 Loss_D_fake 0.011412
[242/5000][265/535][24677] Loss_D: -0.033385 Loss_G: 0.024603 Loss_D_real: -0.024738 Loss_D_fake 0.008647
[242/5000][270/535][24678] Loss_D: -0.036182 Loss_G: 0.013898 Loss_D_real: -0.021013 Loss_D_fake 0.015169
[242/5000][275/535][24679] Loss_D: -0.034993 Loss_G: 0.020231 Loss_D_real: -0.021380 Loss_D_fake 0.013612
[242/5000][280/535][24680] Loss_D: -0.036036 Loss_G: 0.020635 Loss_D_real: -0.023623 Loss_D_fake 0.012413
[242/5000][285/535][24681] Loss_D: -0.035181 Loss_G: 0.003677 Loss_D_real: -0.013217 Loss_D_fake 0.021964
[242/5000][290/535][24682] Loss_D: -0.034052 Loss_G: 0.041634 Loss_D_real: -0.042449 Loss_D_fake -0.008397
[242/5000][295/535][24683] Loss_D: -0.034756 Loss_G: 0.009857 Loss_D_real: -0.015273 Loss_D_fake 0.019483
[242/5000][300/535][24684] Loss_D: -0.032870 Loss_G: 0.015553 Loss_D_real: -0.029364 Loss_D_fake 0.003506
[242/5000][305/535][24685] Loss_D: -0.034195 Loss_G: 0.031807 Loss_D_real: -0.034191 Loss_D_fake 0.000004
[242/5000][310/535][24686] Loss_D: -0.033212 Loss_G: -0.008797 Loss_D_real: 0.002189 Loss_D_fake 0.035401
[242/5000][315/535][24687] Loss_D: -0.033659 Loss_G: 0.026091 Loss_D_real: -0.032501 Loss_D_fake 0.001158
[242/5000][320/535][24688] Loss_D: -0.035731 Loss_G: 0.020030 Loss_D_real: -0.028498 Loss_D_fake 0.007233
[242/5000][325/535][24689] Loss_D: -0.034153 Loss_G: 0.020303 Loss_D_real: -0.034383 Loss_D_fake -0.000230
[242/5000][330/535][24690] Loss_D: -0.035303 Loss_G: 0.032552 Loss_D_real: -0.029704 Loss_D_fake 0.005599
[242/5000][335/535][24691] Loss_D: -0.036609 Loss_G: 0.006326 Loss_D_real: -0.013381 Loss_D_fake 0.023228
[242/5000][340/535][24692] Loss_D: -0.033213 Loss_G: 0.015927 Loss_D_real: -0.022511 Loss_D_fake 0.010703
[242/5000][345/535][24693] Loss_D: -0.035759 Loss_G: 0.014221 Loss_D_real: -0.020654 Loss_D_fake 0.015106
[242/5000][350/535][24694] Loss_D: -0.034114 Loss_G: 0.042065 Loss_D_real: -0.039542 Loss_D_fake -0.005427
[242/5000][355/535][24695] Loss_D: -0.033991 Loss_G: 0.018535 Loss_D_real: -0.029623 Loss_D_fake 0.004368
[242/5000][360/535][24696] Loss_D: -0.036439 Loss_G: 0.015182 Loss_D_real: -0.022128 Loss_D_fake 0.014311
[242/5000][365/535][24697] Loss_D: -0.034903 Loss_G: 0.008615 Loss_D_real: -0.013242 Loss_D_fake 0.021662
[242/5000][370/535][24698] Loss_D: -0.035038 Loss_G: 0.036014 Loss_D_real: -0.042448 Loss_D_fake -0.007411
[242/5000][375/535][24699] Loss_D: -0.036440 Loss_G: 0.031592 Loss_D_real: -0.025606 Loss_D_fake 0.010835
[242/5000][380/535][24700] Loss_D: -0.034845 Loss_G: 0.010712 Loss_D_real: -0.018031 Loss_D_fake 0.016813
[242/5000][385/535][24701] Loss_D: -0.034354 Loss_G: 0.000048 Loss_D_real: -0.008591 Loss_D_fake 0.025763
[242/5000][390/535][24702] Loss_D: -0.034911 Loss_G: 0.019071 Loss_D_real: -0.031179 Loss_D_fake 0.003732
[242/5000][395/535][24703] Loss_D: -0.033440 Loss_G: 0.024329 Loss_D_real: -0.029963 Loss_D_fake 0.003478
[242/5000][400/535][24704] Loss_D: -0.034368 Loss_G: 0.024759 Loss_D_real: -0.040239 Loss_D_fake -0.005871
[242/5000][405/535][24705] Loss_D: -0.034176 Loss_G: -0.005607 Loss_D_real: -0.007445 Loss_D_fake 0.026731
[242/5000][410/535][24706] Loss_D: -0.033798 Loss_G: 0.036226 Loss_D_real: -0.038990 Loss_D_fake -0.005192
[242/5000][415/535][24707] Loss_D: -0.034004 Loss_G: 0.007492 Loss_D_real: -0.017825 Loss_D_fake 0.016179
[242/5000][420/535][24708] Loss_D: -0.033848 Loss_G: -0.010206 Loss_D_real: -0.008437 Loss_D_fake 0.025411
[242/5000][425/535][24709] Loss_D: -0.032082 Loss_G: 0.005385 Loss_D_real: -0.014667 Loss_D_fake 0.017415
[242/5000][430/535][24710] Loss_D: -0.034171 Loss_G: 0.036336 Loss_D_real: -0.037063 Loss_D_fake -0.002892
[242/5000][435/535][24711] Loss_D: -0.033429 Loss_G: 0.004006 Loss_D_real: -0.002582 Loss_D_fake 0.030847
[242/5000][440/535][24712] Loss_D: -0.033197 Loss_G: 0.001702 Loss_D_real: -0.015669 Loss_D_fake 0.017528
[242/5000][445/535][24713] Loss_D: -0.033581 Loss_G: 0.022713 Loss_D_real: -0.030824 Loss_D_fake 0.002756
[242/5000][450/535][24714] Loss_D: -0.034031 Loss_G: 0.001834 Loss_D_real: -0.011663 Loss_D_fake 0.022368
[242/5000][455/535][24715] Loss_D: -0.034745 Loss_G: 0.021052 Loss_D_real: -0.021822 Loss_D_fake 0.012923
[242/5000][460/535][24716] Loss_D: -0.034889 Loss_G: 0.023471 Loss_D_real: -0.032516 Loss_D_fake 0.002373
[242/5000][465/535][24717] Loss_D: -0.034896 Loss_G: 0.036177 Loss_D_real: -0.034375 Loss_D_fake 0.000520
[242/5000][470/535][24718] Loss_D: -0.033107 Loss_G: 0.001339 Loss_D_real: -0.011003 Loss_D_fake 0.022104
[242/5000][475/535][24719] Loss_D: -0.033875 Loss_G: 0.038829 Loss_D_real: -0.033988 Loss_D_fake -0.000113
[242/5000][480/535][24720] Loss_D: -0.034470 Loss_G: -0.010932 Loss_D_real: -0.003394 Loss_D_fake 0.031076
[242/5000][485/535][24721] Loss_D: -0.034068 Loss_G: 0.019679 Loss_D_real: -0.032118 Loss_D_fake 0.001950
[242/5000][490/535][24722] Loss_D: -0.035617 Loss_G: 0.012315 Loss_D_real: -0.020245 Loss_D_fake 0.015372
[242/5000][495/535][24723] Loss_D: -0.035529 Loss_G: 0.012549 Loss_D_real: -0.024169 Loss_D_fake 0.011360
[242/5000][500/535][24724] Loss_D: -0.034927 Loss_G: 0.045540 Loss_D_real: -0.043613 Loss_D_fake -0.008687
[242/5000][505/535][24725] Loss_D: -0.034211 Loss_G: -0.008899 Loss_D_real: -0.003209 Loss_D_fake 0.031002
[242/5000][510/535][24726] Loss_D: -0.033022 Loss_G: 0.033026 Loss_D_real: -0.040831 Loss_D_fake -0.007809
[242/5000][515/535][24727] Loss_D: -0.035177 Loss_G: 0.015574 Loss_D_real: -0.022968 Loss_D_fake 0.012209
[242/5000][520/535][24728] Loss_D: -0.033756 Loss_G: 0.002716 Loss_D_real: -0.015808 Loss_D_fake 0.017948
[242/5000][525/535][24729] Loss_D: -0.035180 Loss_G: 0.000309 Loss_D_real: -0.015110 Loss_D_fake 0.020070
[242/5000][530/535][24730] Loss_D: -0.034219 Loss_G: 0.026170 Loss_D_real: -0.040223 Loss_D_fake -0.006004
[242/5000][535/535][24731] Loss_D: -0.041342 Loss_G: 0.010125 Loss_D_real: -0.015150 Loss_D_fake 0.026192
[243/5000][5/535][24732] Loss_D: -0.036489 Loss_G: 0.006345 Loss_D_real: -0.018263 Loss_D_fake 0.018227
[243/5000][10/535][24733] Loss_D: -0.034437 Loss_G: 0.012059 Loss_D_real: -0.023004 Loss_D_fake 0.011433
[243/5000][15/535][24734] Loss_D: -0.033055 Loss_G: 0.034515 Loss_D_real: -0.031748 Loss_D_fake 0.001307
[243/5000][20/535][24735] Loss_D: -0.034972 Loss_G: -0.007615 Loss_D_real: -0.007442 Loss_D_fake 0.027530
[243/5000][25/535][24736] Loss_D: -0.035037 Loss_G: 0.018990 Loss_D_real: -0.026183 Loss_D_fake 0.008854
[243/5000][30/535][24737] Loss_D: -0.034961 Loss_G: 0.026303 Loss_D_real: -0.029152 Loss_D_fake 0.005809
[243/5000][35/535][24738] Loss_D: -0.034533 Loss_G: 0.032165 Loss_D_real: -0.030394 Loss_D_fake 0.004139
[243/5000][40/535][24739] Loss_D: -0.035167 Loss_G: -0.013170 Loss_D_real: -0.006454 Loss_D_fake 0.028713
[243/5000][45/535][24740] Loss_D: -0.034274 Loss_G: 0.027719 Loss_D_real: -0.034275 Loss_D_fake -0.000001
[243/5000][50/535][24741] Loss_D: -0.034825 Loss_G: 0.015417 Loss_D_real: -0.028828 Loss_D_fake 0.005997
[243/5000][55/535][24742] Loss_D: -0.035944 Loss_G: 0.022701 Loss_D_real: -0.023938 Loss_D_fake 0.012006
[243/5000][60/535][24743] Loss_D: -0.035646 Loss_G: 0.008189 Loss_D_real: -0.021424 Loss_D_fake 0.014222
[243/5000][65/535][24744] Loss_D: -0.035914 Loss_G: 0.017772 Loss_D_real: -0.018210 Loss_D_fake 0.017704
[243/5000][70/535][24745] Loss_D: -0.034111 Loss_G: 0.002620 Loss_D_real: -0.011496 Loss_D_fake 0.022615
[243/5000][75/535][24746] Loss_D: -0.035347 Loss_G: 0.015409 Loss_D_real: -0.018335 Loss_D_fake 0.017012
[243/5000][80/535][24747] Loss_D: -0.032215 Loss_G: -0.019916 Loss_D_real: -0.003690 Loss_D_fake 0.028524
[243/5000][85/535][24748] Loss_D: -0.034077 Loss_G: 0.037377 Loss_D_real: -0.040794 Loss_D_fake -0.006717
[243/5000][90/535][24749] Loss_D: -0.034528 Loss_G: 0.004651 Loss_D_real: -0.011194 Loss_D_fake 0.023335
[243/5000][95/535][24750] Loss_D: -0.035227 Loss_G: 0.027976 Loss_D_real: -0.031964 Loss_D_fake 0.003263
[243/5000][100/535][24751] Loss_D: -0.032136 Loss_G: 0.014356 Loss_D_real: -0.017353 Loss_D_fake 0.014783
[243/5000][105/535][24752] Loss_D: -0.034728 Loss_G: 0.014095 Loss_D_real: -0.024251 Loss_D_fake 0.010477
[243/5000][110/535][24753] Loss_D: -0.034387 Loss_G: 0.036156 Loss_D_real: -0.037399 Loss_D_fake -0.003012
[243/5000][115/535][24754] Loss_D: -0.034676 Loss_G: 0.019492 Loss_D_real: -0.028303 Loss_D_fake 0.006373
[243/5000][120/535][24755] Loss_D: -0.034780 Loss_G: 0.040886 Loss_D_real: -0.036892 Loss_D_fake -0.002112
[243/5000][125/535][24756] Loss_D: -0.034055 Loss_G: 0.015995 Loss_D_real: -0.019799 Loss_D_fake 0.014256
[243/5000][130/535][24757] Loss_D: -0.035798 Loss_G: 0.017418 Loss_D_real: -0.018744 Loss_D_fake 0.017054
[243/5000][135/535][24758] Loss_D: -0.033652 Loss_G: 0.028844 Loss_D_real: -0.023936 Loss_D_fake 0.009715
[243/5000][140/535][24759] Loss_D: -0.033676 Loss_G: 0.021081 Loss_D_real: -0.021854 Loss_D_fake 0.011821
[243/5000][145/535][24760] Loss_D: -0.035358 Loss_G: -0.011626 Loss_D_real: -0.009105 Loss_D_fake 0.026253
[243/5000][150/535][24761] Loss_D: -0.033502 Loss_G: 0.017305 Loss_D_real: -0.025833 Loss_D_fake 0.007669
[243/5000][155/535][24762] Loss_D: -0.033993 Loss_G: 0.029861 Loss_D_real: -0.027559 Loss_D_fake 0.006434
[243/5000][160/535][24763] Loss_D: -0.034999 Loss_G: 0.020951 Loss_D_real: -0.017125 Loss_D_fake 0.017873
[243/5000][165/535][24764] Loss_D: -0.032650 Loss_G: -0.007235 Loss_D_real: 0.002462 Loss_D_fake 0.035112
[243/5000][170/535][24765] Loss_D: -0.035221 Loss_G: 0.031600 Loss_D_real: -0.036451 Loss_D_fake -0.001230
[243/5000][175/535][24766] Loss_D: -0.032831 Loss_G: 0.028165 Loss_D_real: -0.034804 Loss_D_fake -0.001973
[243/5000][180/535][24767] Loss_D: -0.034591 Loss_G: 0.018574 Loss_D_real: -0.025465 Loss_D_fake 0.009126
[243/5000][185/535][24768] Loss_D: -0.034347 Loss_G: -0.002303 Loss_D_real: -0.007769 Loss_D_fake 0.026578
[243/5000][190/535][24769] Loss_D: -0.034149 Loss_G: 0.032060 Loss_D_real: -0.034871 Loss_D_fake -0.000722
[243/5000][195/535][24770] Loss_D: -0.034411 Loss_G: 0.013193 Loss_D_real: -0.019053 Loss_D_fake 0.015357
[243/5000][200/535][24771] Loss_D: -0.035066 Loss_G: 0.038083 Loss_D_real: -0.030988 Loss_D_fake 0.004078
[243/5000][205/535][24772] Loss_D: -0.034430 Loss_G: -0.004546 Loss_D_real: -0.011749 Loss_D_fake 0.022681
[243/5000][210/535][24773] Loss_D: -0.033736 Loss_G: 0.036273 Loss_D_real: -0.037827 Loss_D_fake -0.004091
[243/5000][215/535][24774] Loss_D: -0.032938 Loss_G: -0.014746 Loss_D_real: -0.000180 Loss_D_fake 0.032758
[243/5000][220/535][24775] Loss_D: -0.032545 Loss_G: 0.027308 Loss_D_real: -0.039112 Loss_D_fake -0.006567
[243/5000][225/535][24776] Loss_D: -0.035016 Loss_G: 0.015161 Loss_D_real: -0.018891 Loss_D_fake 0.016125
[243/5000][230/535][24777] Loss_D: -0.035080 Loss_G: 0.013317 Loss_D_real: -0.025403 Loss_D_fake 0.009677
[243/5000][235/535][24778] Loss_D: -0.036066 Loss_G: 0.034690 Loss_D_real: -0.032980 Loss_D_fake 0.003085
[243/5000][240/535][24779] Loss_D: -0.034216 Loss_G: 0.003997 Loss_D_real: -0.009773 Loss_D_fake 0.024443
[243/5000][245/535][24780] Loss_D: -0.035797 Loss_G: 0.032458 Loss_D_real: -0.034149 Loss_D_fake 0.001648
[243/5000][250/535][24781] Loss_D: -0.036372 Loss_G: 0.013341 Loss_D_real: -0.017857 Loss_D_fake 0.018515
[243/5000][255/535][24782] Loss_D: -0.035292 Loss_G: 0.023819 Loss_D_real: -0.021792 Loss_D_fake 0.013500
[243/5000][260/535][24783] Loss_D: -0.034692 Loss_G: 0.016611 Loss_D_real: -0.020619 Loss_D_fake 0.014073
[243/5000][265/535][24784] Loss_D: -0.034723 Loss_G: 0.022515 Loss_D_real: -0.025259 Loss_D_fake 0.009463
[243/5000][270/535][24785] Loss_D: -0.034803 Loss_G: 0.011262 Loss_D_real: -0.019627 Loss_D_fake 0.015176
[243/5000][275/535][24786] Loss_D: -0.035940 Loss_G: 0.020552 Loss_D_real: -0.029864 Loss_D_fake 0.006076
[243/5000][280/535][24787] Loss_D: -0.034693 Loss_G: 0.023192 Loss_D_real: -0.026567 Loss_D_fake 0.008126
[243/5000][285/535][24788] Loss_D: -0.036026 Loss_G: 0.030142 Loss_D_real: -0.027300 Loss_D_fake 0.008725
[243/5000][290/535][24789] Loss_D: -0.033200 Loss_G: -0.009234 Loss_D_real: -0.009608 Loss_D_fake 0.023592
[243/5000][295/535][24790] Loss_D: -0.034011 Loss_G: 0.026947 Loss_D_real: -0.036850 Loss_D_fake -0.002839
[243/5000][300/535][24791] Loss_D: -0.033954 Loss_G: 0.026092 Loss_D_real: -0.032994 Loss_D_fake 0.000961
[243/5000][305/535][24792] Loss_D: -0.035157 Loss_G: 0.003825 Loss_D_real: -0.018262 Loss_D_fake 0.016896
[243/5000][310/535][24793] Loss_D: -0.034105 Loss_G: 0.030504 Loss_D_real: -0.041624 Loss_D_fake -0.007519
[243/5000][315/535][24794] Loss_D: -0.034161 Loss_G: 0.000673 Loss_D_real: -0.012392 Loss_D_fake 0.021768
[243/5000][320/535][24795] Loss_D: -0.033700 Loss_G: 0.025563 Loss_D_real: -0.028987 Loss_D_fake 0.004713
[243/5000][325/535][24796] Loss_D: -0.033817 Loss_G: 0.012539 Loss_D_real: -0.019004 Loss_D_fake 0.014814
[243/5000][330/535][24797] Loss_D: -0.033975 Loss_G: 0.030901 Loss_D_real: -0.032539 Loss_D_fake 0.001436
[243/5000][335/535][24798] Loss_D: -0.033197 Loss_G: 0.003441 Loss_D_real: -0.013982 Loss_D_fake 0.019214
[243/5000][340/535][24799] Loss_D: -0.035481 Loss_G: 0.012230 Loss_D_real: -0.016636 Loss_D_fake 0.018845
[243/5000][345/535][24800] Loss_D: -0.034053 Loss_G: 0.031745 Loss_D_real: -0.027191 Loss_D_fake 0.006862
[243/5000][350/535][24801] Loss_D: -0.030559 Loss_G: -0.023334 Loss_D_real: 0.010604 Loss_D_fake 0.041164
[243/5000][355/535][24802] Loss_D: -0.032728 Loss_G: 0.029563 Loss_D_real: -0.041646 Loss_D_fake -0.008918
[243/5000][360/535][24803] Loss_D: -0.034354 Loss_G: 0.019347 Loss_D_real: -0.019730 Loss_D_fake 0.014624
[243/5000][365/535][24804] Loss_D: -0.034589 Loss_G: 0.036720 Loss_D_real: -0.028002 Loss_D_fake 0.006587
[243/5000][370/535][24805] Loss_D: -0.035034 Loss_G: -0.001671 Loss_D_real: -0.013028 Loss_D_fake 0.022005
[243/5000][375/535][24806] Loss_D: -0.034708 Loss_G: 0.018799 Loss_D_real: -0.028004 Loss_D_fake 0.006704
[243/5000][380/535][24807] Loss_D: -0.034589 Loss_G: 0.013640 Loss_D_real: -0.023797 Loss_D_fake 0.010792
[243/5000][385/535][24808] Loss_D: -0.035096 Loss_G: 0.028651 Loss_D_real: -0.038083 Loss_D_fake -0.002988
[243/5000][390/535][24809] Loss_D: -0.033603 Loss_G: 0.012437 Loss_D_real: -0.026113 Loss_D_fake 0.007491
[243/5000][395/535][24810] Loss_D: -0.035346 Loss_G: -0.002168 Loss_D_real: -0.016079 Loss_D_fake 0.019267
[243/5000][400/535][24811] Loss_D: -0.033450 Loss_G: 0.022368 Loss_D_real: -0.026635 Loss_D_fake 0.006815
[243/5000][405/535][24812] Loss_D: -0.034965 Loss_G: 0.002866 Loss_D_real: -0.010751 Loss_D_fake 0.024214
[243/5000][410/535][24813] Loss_D: -0.033560 Loss_G: 0.040307 Loss_D_real: -0.040079 Loss_D_fake -0.006519
[243/5000][415/535][24814] Loss_D: -0.034170 Loss_G: 0.024631 Loss_D_real: -0.022464 Loss_D_fake 0.011706
[243/5000][420/535][24815] Loss_D: -0.035390 Loss_G: 0.008666 Loss_D_real: -0.013269 Loss_D_fake 0.022121
[243/5000][425/535][24816] Loss_D: -0.035036 Loss_G: 0.034241 Loss_D_real: -0.044548 Loss_D_fake -0.009512
[243/5000][430/535][24817] Loss_D: -0.031823 Loss_G: -0.019501 Loss_D_real: 0.002177 Loss_D_fake 0.034000
[243/5000][435/535][24818] Loss_D: -0.035251 Loss_G: 0.030724 Loss_D_real: -0.032252 Loss_D_fake 0.002999
[243/5000][440/535][24819] Loss_D: -0.035228 Loss_G: 0.016490 Loss_D_real: -0.016422 Loss_D_fake 0.018806
[243/5000][445/535][24820] Loss_D: -0.034727 Loss_G: 0.022650 Loss_D_real: -0.027399 Loss_D_fake 0.007327
[243/5000][450/535][24821] Loss_D: -0.035827 Loss_G: 0.030323 Loss_D_real: -0.031008 Loss_D_fake 0.004819
[243/5000][455/535][24822] Loss_D: -0.036355 Loss_G: 0.012768 Loss_D_real: -0.022370 Loss_D_fake 0.013984
[243/5000][460/535][24823] Loss_D: -0.036144 Loss_G: 0.010258 Loss_D_real: -0.021143 Loss_D_fake 0.015001
[243/5000][465/535][24824] Loss_D: -0.036404 Loss_G: 0.029900 Loss_D_real: -0.036056 Loss_D_fake 0.000348
[243/5000][470/535][24825] Loss_D: -0.034925 Loss_G: 0.023753 Loss_D_real: -0.023822 Loss_D_fake 0.011102
[243/5000][475/535][24826] Loss_D: -0.036876 Loss_G: 0.016850 Loss_D_real: -0.018883 Loss_D_fake 0.017992
[243/5000][480/535][24827] Loss_D: -0.034425 Loss_G: 0.026525 Loss_D_real: -0.028429 Loss_D_fake 0.005997
[243/5000][485/535][24828] Loss_D: -0.037881 Loss_G: 0.015790 Loss_D_real: -0.020815 Loss_D_fake 0.017066
[243/5000][490/535][24829] Loss_D: -0.035640 Loss_G: 0.034351 Loss_D_real: -0.026959 Loss_D_fake 0.008682
[243/5000][495/535][24830] Loss_D: -0.033185 Loss_G: 0.001603 Loss_D_real: -0.010075 Loss_D_fake 0.023111
[243/5000][500/535][24831] Loss_D: -0.031314 Loss_G: 0.043866 Loss_D_real: -0.047549 Loss_D_fake -0.016234
[243/5000][505/535][24832] Loss_D: -0.034756 Loss_G: 0.009485 Loss_D_real: -0.015915 Loss_D_fake 0.018841
[243/5000][510/535][24833] Loss_D: -0.034603 Loss_G: 0.011095 Loss_D_real: -0.017780 Loss_D_fake 0.016823
[243/5000][515/535][24834] Loss_D: -0.035090 Loss_G: -0.005700 Loss_D_real: -0.013950 Loss_D_fake 0.021140
[243/5000][520/535][24835] Loss_D: -0.034165 Loss_G: 0.014507 Loss_D_real: -0.031149 Loss_D_fake 0.003016
[243/5000][525/535][24836] Loss_D: -0.034307 Loss_G: 0.027044 Loss_D_real: -0.024185 Loss_D_fake 0.010123
[243/5000][530/535][24837] Loss_D: -0.035009 Loss_G: 0.005167 Loss_D_real: -0.022111 Loss_D_fake 0.012898
[243/5000][535/535][24838] Loss_D: -0.033894 Loss_G: 0.026729 Loss_D_real: -0.016542 Loss_D_fake 0.017352
[244/5000][5/535][24839] Loss_D: -0.032407 Loss_G: -0.019019 Loss_D_real: -0.000678 Loss_D_fake 0.031730
[244/5000][10/535][24840] Loss_D: -0.033274 Loss_G: 0.016588 Loss_D_real: -0.020652 Loss_D_fake 0.012623
[244/5000][15/535][24841] Loss_D: -0.033820 Loss_G: 0.026795 Loss_D_real: -0.038378 Loss_D_fake -0.004559
[244/5000][20/535][24842] Loss_D: -0.033888 Loss_G: 0.011396 Loss_D_real: -0.012597 Loss_D_fake 0.021291
[244/5000][25/535][24843] Loss_D: -0.034395 Loss_G: 0.018239 Loss_D_real: -0.019045 Loss_D_fake 0.015351
[244/5000][30/535][24844] Loss_D: -0.035467 Loss_G: 0.032396 Loss_D_real: -0.032402 Loss_D_fake 0.003065
[244/5000][35/535][24845] Loss_D: -0.033374 Loss_G: -0.013575 Loss_D_real: -0.006592 Loss_D_fake 0.026782
[244/5000][40/535][24846] Loss_D: -0.033897 Loss_G: 0.011846 Loss_D_real: -0.023330 Loss_D_fake 0.010567
[244/5000][45/535][24847] Loss_D: -0.034143 Loss_G: 0.020600 Loss_D_real: -0.022214 Loss_D_fake 0.011929
[244/5000][50/535][24848] Loss_D: -0.033142 Loss_G: 0.028886 Loss_D_real: -0.026982 Loss_D_fake 0.006160
[244/5000][55/535][24849] Loss_D: -0.034935 Loss_G: 0.031819 Loss_D_real: -0.026110 Loss_D_fake 0.008825
[244/5000][60/535][24850] Loss_D: -0.034322 Loss_G: 0.025048 Loss_D_real: -0.031705 Loss_D_fake 0.002617
[244/5000][65/535][24851] Loss_D: -0.034585 Loss_G: 0.024619 Loss_D_real: -0.029880 Loss_D_fake 0.004705
[244/5000][70/535][24852] Loss_D: -0.034464 Loss_G: -0.008915 Loss_D_real: 0.000281 Loss_D_fake 0.034745
[244/5000][75/535][24853] Loss_D: -0.035253 Loss_G: -0.000687 Loss_D_real: -0.013459 Loss_D_fake 0.021794
[244/5000][80/535][24854] Loss_D: -0.033078 Loss_G: 0.035496 Loss_D_real: -0.038414 Loss_D_fake -0.005335
[244/5000][85/535][24855] Loss_D: -0.034837 Loss_G: 0.008836 Loss_D_real: -0.008415 Loss_D_fake 0.026422
[244/5000][90/535][24856] Loss_D: -0.033739 Loss_G: 0.019456 Loss_D_real: -0.026209 Loss_D_fake 0.007531
[244/5000][95/535][24857] Loss_D: -0.034473 Loss_G: 0.007270 Loss_D_real: -0.016139 Loss_D_fake 0.018334
[244/5000][100/535][24858] Loss_D: -0.033309 Loss_G: 0.039559 Loss_D_real: -0.040966 Loss_D_fake -0.007657
[244/5000][105/535][24859] Loss_D: -0.034821 Loss_G: -0.007265 Loss_D_real: -0.010991 Loss_D_fake 0.023830
[244/5000][110/535][24860] Loss_D: -0.034016 Loss_G: 0.023568 Loss_D_real: -0.026082 Loss_D_fake 0.007934
[244/5000][115/535][24861] Loss_D: -0.036858 Loss_G: 0.027850 Loss_D_real: -0.027007 Loss_D_fake 0.009851
[244/5000][120/535][24862] Loss_D: -0.035608 Loss_G: 0.014519 Loss_D_real: -0.024982 Loss_D_fake 0.010626
[244/5000][125/535][24863] Loss_D: -0.034435 Loss_G: 0.013378 Loss_D_real: -0.026146 Loss_D_fake 0.008289
[244/5000][130/535][24864] Loss_D: -0.036767 Loss_G: 0.016724 Loss_D_real: -0.020151 Loss_D_fake 0.016616
[244/5000][135/535][24865] Loss_D: -0.031693 Loss_G: 0.037832 Loss_D_real: -0.046760 Loss_D_fake -0.015067
[244/5000][140/535][24866] Loss_D: -0.034243 Loss_G: 0.019908 Loss_D_real: -0.019781 Loss_D_fake 0.014463
[244/5000][145/535][24867] Loss_D: -0.034385 Loss_G: 0.003970 Loss_D_real: -0.007443 Loss_D_fake 0.026942
[244/5000][150/535][24868] Loss_D: -0.034450 Loss_G: 0.007926 Loss_D_real: -0.020325 Loss_D_fake 0.014125
[244/5000][155/535][24869] Loss_D: -0.036677 Loss_G: 0.005665 Loss_D_real: -0.015864 Loss_D_fake 0.020813
[244/5000][160/535][24870] Loss_D: -0.033911 Loss_G: 0.018379 Loss_D_real: -0.027690 Loss_D_fake 0.006221
[244/5000][165/535][24871] Loss_D: -0.033801 Loss_G: 0.030613 Loss_D_real: -0.031604 Loss_D_fake 0.002197
[244/5000][170/535][24872] Loss_D: -0.035222 Loss_G: 0.022200 Loss_D_real: -0.023387 Loss_D_fake 0.011834
[244/5000][175/535][24873] Loss_D: -0.034794 Loss_G: 0.026139 Loss_D_real: -0.033759 Loss_D_fake 0.001034
[244/5000][180/535][24874] Loss_D: -0.034492 Loss_G: 0.013582 Loss_D_real: -0.019008 Loss_D_fake 0.015485
[244/5000][185/535][24875] Loss_D: -0.035336 Loss_G: 0.011473 Loss_D_real: -0.020058 Loss_D_fake 0.015278
[244/5000][190/535][24876] Loss_D: -0.034284 Loss_G: 0.004949 Loss_D_real: -0.015944 Loss_D_fake 0.018340
[244/5000][195/535][24877] Loss_D: -0.033793 Loss_G: 0.048726 Loss_D_real: -0.043752 Loss_D_fake -0.009959
[244/5000][200/535][24878] Loss_D: -0.032762 Loss_G: -0.008854 Loss_D_real: -0.002037 Loss_D_fake 0.030725
[244/5000][205/535][24879] Loss_D: -0.033226 Loss_G: 0.008733 Loss_D_real: -0.019847 Loss_D_fake 0.013379
[244/5000][210/535][24880] Loss_D: -0.035254 Loss_G: 0.035824 Loss_D_real: -0.037322 Loss_D_fake -0.002069
[244/5000][215/535][24881] Loss_D: -0.033033 Loss_G: 0.013778 Loss_D_real: -0.026311 Loss_D_fake 0.006722
[244/5000][220/535][24882] Loss_D: -0.034418 Loss_G: 0.009213 Loss_D_real: -0.016150 Loss_D_fake 0.018268
[244/5000][225/535][24883] Loss_D: -0.034128 Loss_G: 0.006597 Loss_D_real: -0.016943 Loss_D_fake 0.017186
[244/5000][230/535][24884] Loss_D: -0.032679 Loss_G: 0.036907 Loss_D_real: -0.043348 Loss_D_fake -0.010668
[244/5000][235/535][24885] Loss_D: -0.033525 Loss_G: 0.040132 Loss_D_real: -0.042460 Loss_D_fake -0.008935
[244/5000][240/535][24886] Loss_D: -0.033268 Loss_G: -0.015647 Loss_D_real: -0.003825 Loss_D_fake 0.029443
[244/5000][245/535][24887] Loss_D: -0.034657 Loss_G: 0.017810 Loss_D_real: -0.024325 Loss_D_fake 0.010331
[244/5000][250/535][24888] Loss_D: -0.035114 Loss_G: -0.003286 Loss_D_real: -0.015540 Loss_D_fake 0.019573
[244/5000][255/535][24889] Loss_D: -0.035295 Loss_G: 0.020245 Loss_D_real: -0.021649 Loss_D_fake 0.013646
[244/5000][260/535][24890] Loss_D: -0.035422 Loss_G: 0.017734 Loss_D_real: -0.029042 Loss_D_fake 0.006380
[244/5000][265/535][24891] Loss_D: -0.033425 Loss_G: 0.018899 Loss_D_real: -0.029477 Loss_D_fake 0.003948
[244/5000][270/535][24892] Loss_D: -0.035489 Loss_G: 0.025618 Loss_D_real: -0.035276 Loss_D_fake 0.000213
[244/5000][275/535][24893] Loss_D: -0.036061 Loss_G: 0.021018 Loss_D_real: -0.024829 Loss_D_fake 0.011233
[244/5000][280/535][24894] Loss_D: -0.033583 Loss_G: 0.015338 Loss_D_real: -0.025057 Loss_D_fake 0.008526
[244/5000][285/535][24895] Loss_D: -0.035279 Loss_G: 0.027862 Loss_D_real: -0.022335 Loss_D_fake 0.012945
[244/5000][290/535][24896] Loss_D: -0.035536 Loss_G: -0.002030 Loss_D_real: -0.010492 Loss_D_fake 0.025045
[244/5000][295/535][24897] Loss_D: -0.032655 Loss_G: 0.034920 Loss_D_real: -0.035810 Loss_D_fake -0.003155
[244/5000][300/535][24898] Loss_D: -0.035109 Loss_G: 0.017515 Loss_D_real: -0.024616 Loss_D_fake 0.010493
[244/5000][305/535][24899] Loss_D: -0.034997 Loss_G: 0.044333 Loss_D_real: -0.037320 Loss_D_fake -0.002323
[244/5000][310/535][24900] Loss_D: -0.034016 Loss_G: 0.002858 Loss_D_real: -0.012559 Loss_D_fake 0.021457
[244/5000][315/535][24901] Loss_D: -0.032501 Loss_G: 0.004778 Loss_D_real: -0.017843 Loss_D_fake 0.014658
[244/5000][320/535][24902] Loss_D: -0.032554 Loss_G: 0.032190 Loss_D_real: -0.039320 Loss_D_fake -0.006766
[244/5000][325/535][24903] Loss_D: -0.035522 Loss_G: 0.016138 Loss_D_real: -0.016013 Loss_D_fake 0.019509
[244/5000][330/535][24904] Loss_D: -0.035221 Loss_G: 0.025875 Loss_D_real: -0.026618 Loss_D_fake 0.008603
[244/5000][335/535][24905] Loss_D: -0.036096 Loss_G: 0.003655 Loss_D_real: -0.022095 Loss_D_fake 0.014001
[244/5000][340/535][24906] Loss_D: -0.033818 Loss_G: 0.026735 Loss_D_real: -0.034546 Loss_D_fake -0.000728
[244/5000][345/535][24907] Loss_D: -0.034892 Loss_G: 0.004686 Loss_D_real: -0.017650 Loss_D_fake 0.017243
[244/5000][350/535][24908] Loss_D: -0.033365 Loss_G: 0.024369 Loss_D_real: -0.023557 Loss_D_fake 0.009808
[244/5000][355/535][24909] Loss_D: -0.035731 Loss_G: 0.007648 Loss_D_real: -0.024734 Loss_D_fake 0.010996
[244/5000][360/535][24910] Loss_D: -0.032724 Loss_G: 0.035771 Loss_D_real: -0.047021 Loss_D_fake -0.014297
[244/5000][365/535][24911] Loss_D: -0.035653 Loss_G: 0.011459 Loss_D_real: -0.026319 Loss_D_fake 0.009333
[244/5000][370/535][24912] Loss_D: -0.035487 Loss_G: 0.038510 Loss_D_real: -0.039175 Loss_D_fake -0.003688
[244/5000][375/535][24913] Loss_D: -0.034314 Loss_G: -0.003062 Loss_D_real: -0.006422 Loss_D_fake 0.027892
[244/5000][380/535][24914] Loss_D: -0.035080 Loss_G: 0.029439 Loss_D_real: -0.029618 Loss_D_fake 0.005462
[244/5000][385/535][24915] Loss_D: -0.033243 Loss_G: 0.035857 Loss_D_real: -0.036952 Loss_D_fake -0.003709
[244/5000][390/535][24916] Loss_D: -0.032671 Loss_G: 0.030624 Loss_D_real: -0.032701 Loss_D_fake -0.000031
[244/5000][395/535][24917] Loss_D: -0.033467 Loss_G: 0.025859 Loss_D_real: -0.023181 Loss_D_fake 0.010287
[244/5000][400/535][24918] Loss_D: -0.034906 Loss_G: 0.022707 Loss_D_real: -0.029905 Loss_D_fake 0.005000
[244/5000][405/535][24919] Loss_D: -0.033790 Loss_G: -0.007179 Loss_D_real: -0.006745 Loss_D_fake 0.027045
[244/5000][410/535][24920] Loss_D: -0.036505 Loss_G: 0.006689 Loss_D_real: -0.020316 Loss_D_fake 0.016189
[244/5000][415/535][24921] Loss_D: -0.034729 Loss_G: 0.015052 Loss_D_real: -0.016339 Loss_D_fake 0.018391
[244/5000][420/535][24922] Loss_D: -0.035521 Loss_G: 0.017994 Loss_D_real: -0.029496 Loss_D_fake 0.006025
[244/5000][425/535][24923] Loss_D: -0.035818 Loss_G: 0.025054 Loss_D_real: -0.028084 Loss_D_fake 0.007734
[244/5000][430/535][24924] Loss_D: -0.035920 Loss_G: 0.022225 Loss_D_real: -0.027171 Loss_D_fake 0.008749
[244/5000][435/535][24925] Loss_D: -0.035144 Loss_G: 0.027972 Loss_D_real: -0.032667 Loss_D_fake 0.002477
[244/5000][440/535][24926] Loss_D: -0.034745 Loss_G: 0.003284 Loss_D_real: -0.010275 Loss_D_fake 0.024470
[244/5000][445/535][24927] Loss_D: -0.034017 Loss_G: 0.021050 Loss_D_real: -0.022647 Loss_D_fake 0.011369
[244/5000][450/535][24928] Loss_D: -0.034874 Loss_G: 0.015300 Loss_D_real: -0.027380 Loss_D_fake 0.007494
[244/5000][455/535][24929] Loss_D: -0.033586 Loss_G: 0.042932 Loss_D_real: -0.039229 Loss_D_fake -0.005643
[244/5000][460/535][24930] Loss_D: -0.033624 Loss_G: 0.004990 Loss_D_real: -0.017317 Loss_D_fake 0.016307
[244/5000][465/535][24931] Loss_D: -0.033598 Loss_G: 0.022811 Loss_D_real: -0.031840 Loss_D_fake 0.001758
[244/5000][470/535][24932] Loss_D: -0.033924 Loss_G: -0.002739 Loss_D_real: -0.014170 Loss_D_fake 0.019754
[244/5000][475/535][24933] Loss_D: -0.034161 Loss_G: 0.030876 Loss_D_real: -0.034748 Loss_D_fake -0.000588
[244/5000][480/535][24934] Loss_D: -0.035099 Loss_G: 0.018328 Loss_D_real: -0.021915 Loss_D_fake 0.013184
[244/5000][485/535][24935] Loss_D: -0.034118 Loss_G: -0.000175 Loss_D_real: -0.013974 Loss_D_fake 0.020145
[244/5000][490/535][24936] Loss_D: -0.033361 Loss_G: 0.021203 Loss_D_real: -0.032251 Loss_D_fake 0.001111
[244/5000][495/535][24937] Loss_D: -0.033497 Loss_G: 0.044490 Loss_D_real: -0.037328 Loss_D_fake -0.003831
[244/5000][500/535][24938] Loss_D: -0.034341 Loss_G: 0.002391 Loss_D_real: -0.014706 Loss_D_fake 0.019634
[244/5000][505/535][24939] Loss_D: -0.035273 Loss_G: 0.015025 Loss_D_real: -0.024356 Loss_D_fake 0.010917
[244/5000][510/535][24940] Loss_D: -0.034470 Loss_G: 0.006804 Loss_D_real: -0.022299 Loss_D_fake 0.012171
[244/5000][515/535][24941] Loss_D: -0.035039 Loss_G: 0.028131 Loss_D_real: -0.031301 Loss_D_fake 0.003738
[244/5000][520/535][24942] Loss_D: -0.032277 Loss_G: -0.014685 Loss_D_real: 0.005148 Loss_D_fake 0.037425
[244/5000][525/535][24943] Loss_D: -0.034184 Loss_G: 0.035735 Loss_D_real: -0.034391 Loss_D_fake -0.000207
[244/5000][530/535][24944] Loss_D: -0.035643 Loss_G: 0.022552 Loss_D_real: -0.024212 Loss_D_fake 0.011431
[244/5000][535/535][24945] Loss_D: -0.035462 Loss_G: 0.047323 Loss_D_real: -0.037489 Loss_D_fake -0.002026
[245/5000][5/535][24946] Loss_D: -0.035298 Loss_G: 0.016358 Loss_D_real: -0.021774 Loss_D_fake 0.013524
[245/5000][10/535][24947] Loss_D: -0.034259 Loss_G: 0.003138 Loss_D_real: -0.013816 Loss_D_fake 0.020443
[245/5000][15/535][24948] Loss_D: -0.034233 Loss_G: 0.033445 Loss_D_real: -0.040134 Loss_D_fake -0.005901
[245/5000][20/535][24949] Loss_D: -0.034120 Loss_G: 0.002107 Loss_D_real: -0.018405 Loss_D_fake 0.015715
[245/5000][25/535][24950] Loss_D: -0.033250 Loss_G: 0.034976 Loss_D_real: -0.038221 Loss_D_fake -0.004970
[245/5000][30/535][24951] Loss_D: -0.034935 Loss_G: -0.005139 Loss_D_real: -0.013875 Loss_D_fake 0.021060
[245/5000][35/535][24952] Loss_D: -0.035024 Loss_G: 0.038422 Loss_D_real: -0.038582 Loss_D_fake -0.003558
[245/5000][40/535][24953] Loss_D: -0.035762 Loss_G: 0.014613 Loss_D_real: -0.019967 Loss_D_fake 0.015794
[245/5000][45/535][24954] Loss_D: -0.035208 Loss_G: 0.018082 Loss_D_real: -0.026772 Loss_D_fake 0.008436
[245/5000][50/535][24955] Loss_D: -0.035107 Loss_G: -0.011244 Loss_D_real: -0.009532 Loss_D_fake 0.025575
[245/5000][55/535][24956] Loss_D: -0.032039 Loss_G: 0.022429 Loss_D_real: -0.028917 Loss_D_fake 0.003122
[245/5000][60/535][24957] Loss_D: -0.034661 Loss_G: 0.026393 Loss_D_real: -0.029344 Loss_D_fake 0.005317
[245/5000][65/535][24958] Loss_D: -0.036118 Loss_G: 0.013236 Loss_D_real: -0.016052 Loss_D_fake 0.020066
[245/5000][70/535][24959] Loss_D: -0.034875 Loss_G: 0.026836 Loss_D_real: -0.027629 Loss_D_fake 0.007247
[245/5000][75/535][24960] Loss_D: -0.033675 Loss_G: -0.006739 Loss_D_real: -0.003213 Loss_D_fake 0.030462
[245/5000][80/535][24961] Loss_D: -0.032697 Loss_G: 0.028862 Loss_D_real: -0.036636 Loss_D_fake -0.003939
[245/5000][85/535][24962] Loss_D: -0.034470 Loss_G: 0.028947 Loss_D_real: -0.029251 Loss_D_fake 0.005219
[245/5000][90/535][24963] Loss_D: -0.035048 Loss_G: 0.000800 Loss_D_real: -0.009463 Loss_D_fake 0.025585
[245/5000][95/535][24964] Loss_D: -0.034684 Loss_G: 0.027716 Loss_D_real: -0.034599 Loss_D_fake 0.000084
[245/5000][100/535][24965] Loss_D: -0.034021 Loss_G: 0.005644 Loss_D_real: -0.016591 Loss_D_fake 0.017430
[245/5000][105/535][24966] Loss_D: -0.033462 Loss_G: 0.013116 Loss_D_real: -0.013156 Loss_D_fake 0.020306
[245/5000][110/535][24967] Loss_D: -0.034012 Loss_G: 0.028940 Loss_D_real: -0.036097 Loss_D_fake -0.002084
[245/5000][115/535][24968] Loss_D: -0.034939 Loss_G: 0.035502 Loss_D_real: -0.034006 Loss_D_fake 0.000933
[245/5000][120/535][24969] Loss_D: -0.034691 Loss_G: 0.009878 Loss_D_real: -0.014116 Loss_D_fake 0.020574
[245/5000][125/535][24970] Loss_D: -0.033044 Loss_G: 0.033827 Loss_D_real: -0.036858 Loss_D_fake -0.003814
[245/5000][130/535][24971] Loss_D: -0.034625 Loss_G: -0.004119 Loss_D_real: -0.009478 Loss_D_fake 0.025147
[245/5000][135/535][24972] Loss_D: -0.034333 Loss_G: 0.038178 Loss_D_real: -0.034403 Loss_D_fake -0.000069
[245/5000][140/535][24973] Loss_D: -0.032998 Loss_G: -0.014455 Loss_D_real: -0.001289 Loss_D_fake 0.031709
[245/5000][145/535][24974] Loss_D: -0.033599 Loss_G: 0.021385 Loss_D_real: -0.028015 Loss_D_fake 0.005584
[245/5000][150/535][24975] Loss_D: -0.033175 Loss_G: 0.035349 Loss_D_real: -0.037565 Loss_D_fake -0.004390
[245/5000][155/535][24976] Loss_D: -0.035923 Loss_G: 0.024532 Loss_D_real: -0.025681 Loss_D_fake 0.010242
[245/5000][160/535][24977] Loss_D: -0.035116 Loss_G: -0.002117 Loss_D_real: -0.000051 Loss_D_fake 0.035065
[245/5000][165/535][24978] Loss_D: -0.035344 Loss_G: 0.021553 Loss_D_real: -0.029605 Loss_D_fake 0.005738
[245/5000][170/535][24979] Loss_D: -0.034541 Loss_G: 0.017388 Loss_D_real: -0.020409 Loss_D_fake 0.014132
[245/5000][175/535][24980] Loss_D: -0.032618 Loss_G: 0.036822 Loss_D_real: -0.042044 Loss_D_fake -0.009426
[245/5000][180/535][24981] Loss_D: -0.035384 Loss_G: 0.021463 Loss_D_real: -0.029615 Loss_D_fake 0.005769
[245/5000][185/535][24982] Loss_D: -0.033826 Loss_G: 0.001878 Loss_D_real: -0.017300 Loss_D_fake 0.016527
[245/5000][190/535][24983] Loss_D: -0.033866 Loss_G: 0.022806 Loss_D_real: -0.029077 Loss_D_fake 0.004790
[245/5000][195/535][24984] Loss_D: -0.034536 Loss_G: 0.011680 Loss_D_real: -0.029961 Loss_D_fake 0.004575
[245/5000][200/535][24985] Loss_D: -0.034643 Loss_G: 0.015729 Loss_D_real: -0.027058 Loss_D_fake 0.007585
[245/5000][205/535][24986] Loss_D: -0.035380 Loss_G: 0.027938 Loss_D_real: -0.034132 Loss_D_fake 0.001248
[245/5000][210/535][24987] Loss_D: -0.034535 Loss_G: -0.004985 Loss_D_real: -0.005723 Loss_D_fake 0.028812
[245/5000][215/535][24988] Loss_D: -0.033523 Loss_G: 0.023519 Loss_D_real: -0.031965 Loss_D_fake 0.001558
[245/5000][220/535][24989] Loss_D: -0.033991 Loss_G: 0.033977 Loss_D_real: -0.027976 Loss_D_fake 0.006015
[245/5000][225/535][24990] Loss_D: -0.034213 Loss_G: 0.011701 Loss_D_real: -0.023724 Loss_D_fake 0.010489
[245/5000][230/535][24991] Loss_D: -0.034077 Loss_G: 0.000941 Loss_D_real: -0.013062 Loss_D_fake 0.021015
[245/5000][235/535][24992] Loss_D: -0.033742 Loss_G: 0.028662 Loss_D_real: -0.035644 Loss_D_fake -0.001903
[245/5000][240/535][24993] Loss_D: -0.033514 Loss_G: 0.015845 Loss_D_real: -0.021608 Loss_D_fake 0.011905
[245/5000][245/535][24994] Loss_D: -0.033963 Loss_G: 0.012813 Loss_D_real: -0.019918 Loss_D_fake 0.014045
[245/5000][250/535][24995] Loss_D: -0.033975 Loss_G: 0.043389 Loss_D_real: -0.039995 Loss_D_fake -0.006020
[245/5000][255/535][24996] Loss_D: -0.035187 Loss_G: -0.005011 Loss_D_real: -0.006204 Loss_D_fake 0.028983
[245/5000][260/535][24997] Loss_D: -0.034170 Loss_G: 0.036967 Loss_D_real: -0.037639 Loss_D_fake -0.003469
[245/5000][265/535][24998] Loss_D: -0.034812 Loss_G: 0.003861 Loss_D_real: -0.011853 Loss_D_fake 0.022959
[245/5000][270/535][24999] Loss_D: -0.035195 Loss_G: 0.004749 Loss_D_real: -0.013508 Loss_D_fake 0.021687
[245/5000][275/535][25000] Loss_D: -0.033837 Loss_G: 0.033279 Loss_D_real: -0.039479 Loss_D_fake -0.005642
[245/5000][375/535][25001] Loss_D: -0.035209 Loss_G: 0.032939 Loss_D_real: -0.035053 Loss_D_fake 0.000157
[245/5000][380/535][25002] Loss_D: -0.034565 Loss_G: 0.035433 Loss_D_real: -0.033413 Loss_D_fake 0.001152
[245/5000][385/535][25003] Loss_D: -0.033620 Loss_G: 0.012970 Loss_D_real: -0.017796 Loss_D_fake 0.015824
[245/5000][390/535][25004] Loss_D: -0.033047 Loss_G: 0.011477 Loss_D_real: -0.020421 Loss_D_fake 0.012626
[245/5000][395/535][25005] Loss_D: -0.034326 Loss_G: 0.003857 Loss_D_real: -0.029439 Loss_D_fake 0.004887
[245/5000][400/535][25006] Loss_D: -0.034458 Loss_G: 0.027722 Loss_D_real: -0.040599 Loss_D_fake -0.006140
[245/5000][405/535][25007] Loss_D: -0.033516 Loss_G: 0.008166 Loss_D_real: -0.014116 Loss_D_fake 0.019400
[245/5000][410/535][25008] Loss_D: -0.034398 Loss_G: 0.019358 Loss_D_real: -0.029976 Loss_D_fake 0.004422
[245/5000][415/535][25009] Loss_D: -0.032987 Loss_G: 0.004722 Loss_D_real: -0.011973 Loss_D_fake 0.021014
[245/5000][420/535][25010] Loss_D: -0.033329 Loss_G: 0.035025 Loss_D_real: -0.037744 Loss_D_fake -0.004416
[245/5000][425/535][25011] Loss_D: -0.033505 Loss_G: 0.004841 Loss_D_real: -0.006458 Loss_D_fake 0.027046
[245/5000][430/535][25012] Loss_D: -0.032665 Loss_G: 0.018315 Loss_D_real: -0.023965 Loss_D_fake 0.008700
[245/5000][435/535][25013] Loss_D: -0.033508 Loss_G: 0.002488 Loss_D_real: -0.012706 Loss_D_fake 0.020802
[245/5000][440/535][25014] Loss_D: -0.032255 Loss_G: 0.043593 Loss_D_real: -0.043517 Loss_D_fake -0.011262
[245/5000][445/535][25015] Loss_D: -0.033256 Loss_G: 0.027477 Loss_D_real: -0.030175 Loss_D_fake 0.003080
[245/5000][450/535][25016] Loss_D: -0.034391 Loss_G: 0.019879 Loss_D_real: -0.025360 Loss_D_fake 0.009030
[245/5000][455/535][25017] Loss_D: -0.034905 Loss_G: 0.023824 Loss_D_real: -0.027665 Loss_D_fake 0.007241
[245/5000][460/535][25018] Loss_D: -0.033964 Loss_G: 0.008400 Loss_D_real: -0.017566 Loss_D_fake 0.016398
[245/5000][465/535][25019] Loss_D: -0.036768 Loss_G: 0.003930 Loss_D_real: -0.021842 Loss_D_fake 0.014927
[245/5000][470/535][25020] Loss_D: -0.034699 Loss_G: 0.030760 Loss_D_real: -0.030483 Loss_D_fake 0.004216
[245/5000][475/535][25021] Loss_D: -0.035670 Loss_G: -0.007153 Loss_D_real: -0.009116 Loss_D_fake 0.026553
[245/5000][480/535][25022] Loss_D: -0.034351 Loss_G: 0.013774 Loss_D_real: -0.020971 Loss_D_fake 0.013379
[245/5000][485/535][25023] Loss_D: -0.035203 Loss_G: 0.009395 Loss_D_real: -0.022422 Loss_D_fake 0.012781
[245/5000][490/535][25024] Loss_D: -0.034668 Loss_G: 0.018412 Loss_D_real: -0.017266 Loss_D_fake 0.017402
[245/5000][495/535][25025] Loss_D: -0.033997 Loss_G: -0.009091 Loss_D_real: -0.008708 Loss_D_fake 0.025289
[245/5000][500/535][25026] Loss_D: -0.035153 Loss_G: 0.019700 Loss_D_real: -0.023920 Loss_D_fake 0.011233
[245/5000][505/535][25027] Loss_D: -0.034834 Loss_G: 0.030381 Loss_D_real: -0.034418 Loss_D_fake 0.000416
[245/5000][510/535][25028] Loss_D: -0.034565 Loss_G: 0.013991 Loss_D_real: -0.016519 Loss_D_fake 0.018046
[245/5000][515/535][25029] Loss_D: -0.035197 Loss_G: -0.012409 Loss_D_real: -0.006033 Loss_D_fake 0.029164
[245/5000][520/535][25030] Loss_D: -0.031747 Loss_G: 0.031954 Loss_D_real: -0.039256 Loss_D_fake -0.007509
[245/5000][525/535][25031] Loss_D: -0.034817 Loss_G: -0.004505 Loss_D_real: -0.015974 Loss_D_fake 0.018843
[245/5000][530/535][25032] Loss_D: -0.034260 Loss_G: 0.022217 Loss_D_real: -0.024735 Loss_D_fake 0.009525
[245/5000][535/535][25033] Loss_D: -0.032747 Loss_G: 0.024177 Loss_D_real: -0.031428 Loss_D_fake 0.001319
[246/5000][5/535][25034] Loss_D: -0.035079 Loss_G: -0.004782 Loss_D_real: -0.018780 Loss_D_fake 0.016299
[246/5000][10/535][25035] Loss_D: -0.033844 Loss_G: 0.032720 Loss_D_real: -0.032491 Loss_D_fake 0.001354
[246/5000][15/535][25036] Loss_D: -0.034479 Loss_G: -0.000352 Loss_D_real: -0.008736 Loss_D_fake 0.025743
[246/5000][20/535][25037] Loss_D: -0.034708 Loss_G: 0.023043 Loss_D_real: -0.035403 Loss_D_fake -0.000695
[246/5000][25/535][25038] Loss_D: -0.033956 Loss_G: 0.003869 Loss_D_real: -0.023322 Loss_D_fake 0.010634
[246/5000][30/535][25039] Loss_D: -0.034151 Loss_G: 0.038751 Loss_D_real: -0.038029 Loss_D_fake -0.003879
[246/5000][35/535][25040] Loss_D: -0.035385 Loss_G: 0.016940 Loss_D_real: -0.021085 Loss_D_fake 0.014300
[246/5000][40/535][25041] Loss_D: -0.035720 Loss_G: 0.025318 Loss_D_real: -0.025644 Loss_D_fake 0.010076
[246/5000][45/535][25042] Loss_D: -0.035948 Loss_G: 0.013421 Loss_D_real: -0.018391 Loss_D_fake 0.017556
[246/5000][50/535][25043] Loss_D: -0.034591 Loss_G: 0.026588 Loss_D_real: -0.030513 Loss_D_fake 0.004078
[246/5000][55/535][25044] Loss_D: -0.034561 Loss_G: 0.024241 Loss_D_real: -0.020176 Loss_D_fake 0.014385
[246/5000][60/535][25045] Loss_D: -0.034578 Loss_G: 0.014005 Loss_D_real: -0.018935 Loss_D_fake 0.015643
[246/5000][65/535][25046] Loss_D: -0.035037 Loss_G: 0.012262 Loss_D_real: -0.016551 Loss_D_fake 0.018486
[246/5000][70/535][25047] Loss_D: -0.033072 Loss_G: 0.036888 Loss_D_real: -0.040884 Loss_D_fake -0.007812
[246/5000][75/535][25048] Loss_D: -0.034290 Loss_G: -0.005497 Loss_D_real: -0.005721 Loss_D_fake 0.028570
[246/5000][80/535][25049] Loss_D: -0.033905 Loss_G: 0.011382 Loss_D_real: -0.013193 Loss_D_fake 0.020712
[246/5000][85/535][25050] Loss_D: -0.033095 Loss_G: 0.027619 Loss_D_real: -0.025080 Loss_D_fake 0.008016
[246/5000][90/535][25051] Loss_D: -0.034653 Loss_G: -0.001980 Loss_D_real: -0.005238 Loss_D_fake 0.029415
[246/5000][95/535][25052] Loss_D: -0.035414 Loss_G: 0.025946 Loss_D_real: -0.026213 Loss_D_fake 0.009202
[246/5000][100/535][25053] Loss_D: -0.034263 Loss_G: 0.025130 Loss_D_real: -0.030294 Loss_D_fake 0.003969
[246/5000][105/535][25054] Loss_D: -0.033467 Loss_G: -0.004582 Loss_D_real: -0.006633 Loss_D_fake 0.026834
[246/5000][110/535][25055] Loss_D: -0.034906 Loss_G: 0.020957 Loss_D_real: -0.024713 Loss_D_fake 0.010194
[246/5000][115/535][25056] Loss_D: -0.033707 Loss_G: 0.028841 Loss_D_real: -0.034113 Loss_D_fake -0.000406
[246/5000][120/535][25057] Loss_D: -0.034339 Loss_G: 0.029355 Loss_D_real: -0.029563 Loss_D_fake 0.004776
[246/5000][125/535][25058] Loss_D: -0.032457 Loss_G: -0.012333 Loss_D_real: -0.006837 Loss_D_fake 0.025620
[246/5000][130/535][25059] Loss_D: -0.035931 Loss_G: 0.018223 Loss_D_real: -0.022280 Loss_D_fake 0.013651
[246/5000][135/535][25060] Loss_D: -0.032389 Loss_G: -0.002618 Loss_D_real: -0.013278 Loss_D_fake 0.019112
[246/5000][140/535][25061] Loss_D: -0.033871 Loss_G: 0.028306 Loss_D_real: -0.035898 Loss_D_fake -0.002028
[246/5000][145/535][25062] Loss_D: -0.035144 Loss_G: 0.005077 Loss_D_real: -0.019681 Loss_D_fake 0.015462
[246/5000][150/535][25063] Loss_D: -0.034298 Loss_G: 0.025301 Loss_D_real: -0.021978 Loss_D_fake 0.012320
[246/5000][155/535][25064] Loss_D: -0.035479 Loss_G: 0.023336 Loss_D_real: -0.021915 Loss_D_fake 0.013564
[246/5000][160/535][25065] Loss_D: -0.034854 Loss_G: -0.001829 Loss_D_real: -0.007704 Loss_D_fake 0.027151
[246/5000][165/535][25066] Loss_D: -0.034681 Loss_G: 0.037872 Loss_D_real: -0.035500 Loss_D_fake -0.000819
[246/5000][170/535][25067] Loss_D: -0.033448 Loss_G: -0.013318 Loss_D_real: -0.000754 Loss_D_fake 0.032694
[246/5000][175/535][25068] Loss_D: -0.034711 Loss_G: 0.023175 Loss_D_real: -0.028523 Loss_D_fake 0.006187
[246/5000][180/535][25069] Loss_D: -0.032968 Loss_G: 0.003440 Loss_D_real: -0.006979 Loss_D_fake 0.025989
[246/5000][185/535][25070] Loss_D: -0.034107 Loss_G: 0.033027 Loss_D_real: -0.034502 Loss_D_fake -0.000396
[246/5000][190/535][25071] Loss_D: -0.034915 Loss_G: 0.005610 Loss_D_real: -0.019196 Loss_D_fake 0.015720
[246/5000][195/535][25072] Loss_D: -0.035095 Loss_G: 0.025556 Loss_D_real: -0.021584 Loss_D_fake 0.013510
[246/5000][200/535][25073] Loss_D: -0.032629 Loss_G: -0.011868 Loss_D_real: -0.003451 Loss_D_fake 0.029177
[246/5000][205/535][25074] Loss_D: -0.033232 Loss_G: 0.029661 Loss_D_real: -0.031202 Loss_D_fake 0.002030
[246/5000][210/535][25075] Loss_D: -0.033271 Loss_G: 0.014041 Loss_D_real: -0.020365 Loss_D_fake 0.012906
[246/5000][215/535][25076] Loss_D: -0.034055 Loss_G: 0.021656 Loss_D_real: -0.026179 Loss_D_fake 0.007876
[246/5000][220/535][25077] Loss_D: -0.034538 Loss_G: 0.021112 Loss_D_real: -0.017216 Loss_D_fake 0.017322
[246/5000][225/535][25078] Loss_D: -0.034927 Loss_G: 0.010623 Loss_D_real: -0.022326 Loss_D_fake 0.012601
[246/5000][230/535][25079] Loss_D: -0.035083 Loss_G: 0.026678 Loss_D_real: -0.035547 Loss_D_fake -0.000463
[246/5000][235/535][25080] Loss_D: -0.035120 Loss_G: 0.031499 Loss_D_real: -0.034373 Loss_D_fake 0.000747
[246/5000][240/535][25081] Loss_D: -0.035251 Loss_G: 0.003863 Loss_D_real: -0.013820 Loss_D_fake 0.021432
[246/5000][245/535][25082] Loss_D: -0.034769 Loss_G: 0.023477 Loss_D_real: -0.022405 Loss_D_fake 0.012364
[246/5000][250/535][25083] Loss_D: -0.034029 Loss_G: 0.041352 Loss_D_real: -0.041604 Loss_D_fake -0.007575
[246/5000][255/535][25084] Loss_D: -0.033667 Loss_G: -0.004880 Loss_D_real: -0.002086 Loss_D_fake 0.031581
[246/5000][260/535][25085] Loss_D: -0.032532 Loss_G: 0.043599 Loss_D_real: -0.040154 Loss_D_fake -0.007623
[246/5000][265/535][25086] Loss_D: -0.034929 Loss_G: 0.009786 Loss_D_real: -0.019499 Loss_D_fake 0.015430
[246/5000][270/535][25087] Loss_D: -0.034781 Loss_G: 0.015513 Loss_D_real: -0.019868 Loss_D_fake 0.014913
[246/5000][275/535][25088] Loss_D: -0.035505 Loss_G: 0.022307 Loss_D_real: -0.030075 Loss_D_fake 0.005430
[246/5000][280/535][25089] Loss_D: -0.034918 Loss_G: 0.013474 Loss_D_real: -0.022208 Loss_D_fake 0.012710
[246/5000][285/535][25090] Loss_D: -0.035691 Loss_G: 0.022233 Loss_D_real: -0.029256 Loss_D_fake 0.006434
[246/5000][290/535][25091] Loss_D: -0.034808 Loss_G: 0.009317 Loss_D_real: -0.013867 Loss_D_fake 0.020942
[246/5000][295/535][25092] Loss_D: -0.035905 Loss_G: 0.018647 Loss_D_real: -0.023785 Loss_D_fake 0.012120
[246/5000][300/535][25093] Loss_D: -0.034210 Loss_G: 0.003450 Loss_D_real: -0.019392 Loss_D_fake 0.014818
[246/5000][305/535][25094] Loss_D: -0.033174 Loss_G: 0.015077 Loss_D_real: -0.020674 Loss_D_fake 0.012500
[246/5000][310/535][25095] Loss_D: -0.034866 Loss_G: 0.004382 Loss_D_real: -0.017817 Loss_D_fake 0.017049
[246/5000][315/535][25096] Loss_D: -0.033668 Loss_G: 0.035924 Loss_D_real: -0.041288 Loss_D_fake -0.007620
[246/5000][320/535][25097] Loss_D: -0.035070 Loss_G: 0.003308 Loss_D_real: -0.017924 Loss_D_fake 0.017146
[246/5000][325/535][25098] Loss_D: -0.033544 Loss_G: -0.009363 Loss_D_real: -0.008952 Loss_D_fake 0.024592
[246/5000][330/535][25099] Loss_D: -0.033987 Loss_G: 0.014703 Loss_D_real: -0.022361 Loss_D_fake 0.011626
[246/5000][335/535][25100] Loss_D: -0.034097 Loss_G: 0.013516 Loss_D_real: -0.024899 Loss_D_fake 0.009198
[246/5000][340/535][25101] Loss_D: -0.034270 Loss_G: 0.037660 Loss_D_real: -0.038842 Loss_D_fake -0.004572
[246/5000][345/535][25102] Loss_D: -0.033948 Loss_G: 0.008212 Loss_D_real: -0.011965 Loss_D_fake 0.021983
[246/5000][350/535][25103] Loss_D: -0.034157 Loss_G: 0.024375 Loss_D_real: -0.024324 Loss_D_fake 0.009834
[246/5000][355/535][25104] Loss_D: -0.034769 Loss_G: 0.010109 Loss_D_real: -0.020207 Loss_D_fake 0.014562
[246/5000][360/535][25105] Loss_D: -0.036744 Loss_G: 0.016216 Loss_D_real: -0.020584 Loss_D_fake 0.016160
[246/5000][365/535][25106] Loss_D: -0.032525 Loss_G: 0.033043 Loss_D_real: -0.037561 Loss_D_fake -0.005036
[246/5000][370/535][25107] Loss_D: -0.033860 Loss_G: -0.000420 Loss_D_real: -0.010049 Loss_D_fake 0.023811
[246/5000][375/535][25108] Loss_D: -0.033580 Loss_G: 0.028023 Loss_D_real: -0.042462 Loss_D_fake -0.008882
[246/5000][380/535][25109] Loss_D: -0.034602 Loss_G: -0.007313 Loss_D_real: -0.006262 Loss_D_fake 0.028339
[246/5000][385/535][25110] Loss_D: -0.035026 Loss_G: 0.011769 Loss_D_real: -0.014020 Loss_D_fake 0.021006
[246/5000][390/535][25111] Loss_D: -0.035719 Loss_G: 0.024607 Loss_D_real: -0.024662 Loss_D_fake 0.011058
[246/5000][395/535][25112] Loss_D: -0.035244 Loss_G: 0.011824 Loss_D_real: -0.021550 Loss_D_fake 0.013694
[246/5000][400/535][25113] Loss_D: -0.031658 Loss_G: -0.008513 Loss_D_real: -0.007559 Loss_D_fake 0.024098
[246/5000][405/535][25114] Loss_D: -0.032341 Loss_G: 0.029878 Loss_D_real: -0.034498 Loss_D_fake -0.002157
[246/5000][410/535][25115] Loss_D: -0.031490 Loss_G: -0.003399 Loss_D_real: 0.005613 Loss_D_fake 0.037103
[246/5000][415/535][25116] Loss_D: -0.033467 Loss_G: 0.019071 Loss_D_real: -0.029779 Loss_D_fake 0.003688
[246/5000][420/535][25117] Loss_D: -0.034283 Loss_G: 0.028835 Loss_D_real: -0.029863 Loss_D_fake 0.004420
[246/5000][425/535][25118] Loss_D: -0.034168 Loss_G: 0.015322 Loss_D_real: -0.017409 Loss_D_fake 0.016759
[246/5000][430/535][25119] Loss_D: -0.034656 Loss_G: 0.013296 Loss_D_real: -0.023977 Loss_D_fake 0.010679
[246/5000][435/535][25120] Loss_D: -0.033850 Loss_G: 0.038086 Loss_D_real: -0.033897 Loss_D_fake -0.000047
[246/5000][440/535][25121] Loss_D: -0.032534 Loss_G: -0.014839 Loss_D_real: -0.000538 Loss_D_fake 0.031996
[246/5000][445/535][25122] Loss_D: -0.034852 Loss_G: 0.026792 Loss_D_real: -0.028126 Loss_D_fake 0.006726
[246/5000][450/535][25123] Loss_D: -0.034235 Loss_G: 0.028748 Loss_D_real: -0.032900 Loss_D_fake 0.001335
[246/5000][455/535][25124] Loss_D: -0.034259 Loss_G: 0.002172 Loss_D_real: -0.008730 Loss_D_fake 0.025529
[246/5000][460/535][25125] Loss_D: -0.033219 Loss_G: 0.034976 Loss_D_real: -0.042588 Loss_D_fake -0.009368
[246/5000][465/535][25126] Loss_D: -0.033190 Loss_G: 0.020074 Loss_D_real: -0.020704 Loss_D_fake 0.012485
[246/5000][470/535][25127] Loss_D: -0.033607 Loss_G: 0.009183 Loss_D_real: -0.010502 Loss_D_fake 0.023105
[246/5000][475/535][25128] Loss_D: -0.033983 Loss_G: 0.022907 Loss_D_real: -0.029402 Loss_D_fake 0.004581
[246/5000][480/535][25129] Loss_D: -0.033348 Loss_G: 0.026785 Loss_D_real: -0.034761 Loss_D_fake -0.001413
[246/5000][485/535][25130] Loss_D: -0.035235 Loss_G: -0.001565 Loss_D_real: -0.016111 Loss_D_fake 0.019123
[246/5000][490/535][25131] Loss_D: -0.034556 Loss_G: 0.019952 Loss_D_real: -0.025526 Loss_D_fake 0.009031
[246/5000][495/535][25132] Loss_D: -0.034176 Loss_G: 0.018938 Loss_D_real: -0.023700 Loss_D_fake 0.010476
[246/5000][500/535][25133] Loss_D: -0.034752 Loss_G: 0.024794 Loss_D_real: -0.027542 Loss_D_fake 0.007210
[246/5000][505/535][25134] Loss_D: -0.035622 Loss_G: 0.007010 Loss_D_real: -0.015065 Loss_D_fake 0.020557
[246/5000][510/535][25135] Loss_D: -0.035797 Loss_G: 0.004890 Loss_D_real: -0.017828 Loss_D_fake 0.017969
[246/5000][515/535][25136] Loss_D: -0.032092 Loss_G: 0.037074 Loss_D_real: -0.043227 Loss_D_fake -0.011135
[246/5000][520/535][25137] Loss_D: -0.033283 Loss_G: -0.016258 Loss_D_real: 0.001679 Loss_D_fake 0.034961
[246/5000][525/535][25138] Loss_D: -0.034392 Loss_G: 0.018469 Loss_D_real: -0.028410 Loss_D_fake 0.005981
[246/5000][530/535][25139] Loss_D: -0.036571 Loss_G: 0.007108 Loss_D_real: -0.021264 Loss_D_fake 0.015307
[246/5000][535/535][25140] Loss_D: -0.033438 Loss_G: 0.007230 Loss_D_real: -0.019413 Loss_D_fake 0.014024
[247/5000][5/535][25141] Loss_D: -0.033938 Loss_G: 0.016032 Loss_D_real: -0.024999 Loss_D_fake 0.008939
[247/5000][10/535][25142] Loss_D: -0.035914 Loss_G: 0.000304 Loss_D_real: -0.009634 Loss_D_fake 0.026280
[247/5000][15/535][25143] Loss_D: -0.035536 Loss_G: 0.016838 Loss_D_real: -0.021699 Loss_D_fake 0.013837
[247/5000][20/535][25144] Loss_D: -0.034877 Loss_G: -0.001628 Loss_D_real: -0.010709 Loss_D_fake 0.024168
[247/5000][25/535][25145] Loss_D: -0.033828 Loss_G: 0.017525 Loss_D_real: -0.025773 Loss_D_fake 0.008055
[247/5000][30/535][25146] Loss_D: -0.036625 Loss_G: 0.014184 Loss_D_real: -0.020188 Loss_D_fake 0.016437
[247/5000][35/535][25147] Loss_D: -0.035303 Loss_G: 0.001048 Loss_D_real: -0.012279 Loss_D_fake 0.023024
[247/5000][40/535][25148] Loss_D: -0.033950 Loss_G: 0.040682 Loss_D_real: -0.041435 Loss_D_fake -0.007484
[247/5000][45/535][25149] Loss_D: -0.034940 Loss_G: -0.007228 Loss_D_real: -0.010170 Loss_D_fake 0.024770
[247/5000][50/535][25150] Loss_D: -0.034984 Loss_G: 0.029170 Loss_D_real: -0.028926 Loss_D_fake 0.006058
[247/5000][55/535][25151] Loss_D: -0.033329 Loss_G: 0.007148 Loss_D_real: -0.017866 Loss_D_fake 0.015464
[247/5000][60/535][25152] Loss_D: -0.034189 Loss_G: 0.031295 Loss_D_real: -0.031721 Loss_D_fake 0.002469
[247/5000][65/535][25153] Loss_D: -0.033822 Loss_G: 0.004285 Loss_D_real: -0.017901 Loss_D_fake 0.015922
[247/5000][70/535][25154] Loss_D: -0.034678 Loss_G: 0.024324 Loss_D_real: -0.025859 Loss_D_fake 0.008819
[247/5000][75/535][25155] Loss_D: -0.036167 Loss_G: 0.043737 Loss_D_real: -0.030098 Loss_D_fake 0.006069
[247/5000][80/535][25156] Loss_D: -0.034142 Loss_G: 0.002995 Loss_D_real: -0.005842 Loss_D_fake 0.028300
[247/5000][85/535][25157] Loss_D: -0.035620 Loss_G: 0.017790 Loss_D_real: -0.024406 Loss_D_fake 0.011214
[247/5000][90/535][25158] Loss_D: -0.034948 Loss_G: 0.010534 Loss_D_real: -0.022639 Loss_D_fake 0.012310
[247/5000][95/535][25159] Loss_D: -0.036345 Loss_G: 0.016780 Loss_D_real: -0.025915 Loss_D_fake 0.010430
[247/5000][100/535][25160] Loss_D: -0.033869 Loss_G: 0.025671 Loss_D_real: -0.026300 Loss_D_fake 0.007569
[247/5000][105/535][25161] Loss_D: -0.035335 Loss_G: 0.021823 Loss_D_real: -0.019640 Loss_D_fake 0.015694
[247/5000][110/535][25162] Loss_D: -0.034306 Loss_G: 0.009314 Loss_D_real: -0.018093 Loss_D_fake 0.016213
[247/5000][115/535][25163] Loss_D: -0.034678 Loss_G: 0.028050 Loss_D_real: -0.031103 Loss_D_fake 0.003575
[247/5000][120/535][25164] Loss_D: -0.034874 Loss_G: 0.026496 Loss_D_real: -0.025901 Loss_D_fake 0.008973
[247/5000][125/535][25165] Loss_D: -0.033998 Loss_G: 0.042323 Loss_D_real: -0.035239 Loss_D_fake -0.001241
[247/5000][130/535][25166] Loss_D: -0.032252 Loss_G: -0.006303 Loss_D_real: -0.002829 Loss_D_fake 0.029423
[247/5000][135/535][25167] Loss_D: -0.034719 Loss_G: 0.025789 Loss_D_real: -0.031408 Loss_D_fake 0.003311
[247/5000][140/535][25168] Loss_D: -0.034679 Loss_G: 0.033738 Loss_D_real: -0.032562 Loss_D_fake 0.002118
[247/5000][145/535][25169] Loss_D: -0.033804 Loss_G: 0.033062 Loss_D_real: -0.027180 Loss_D_fake 0.006625
[247/5000][150/535][25170] Loss_D: -0.035375 Loss_G: -0.010323 Loss_D_real: -0.006717 Loss_D_fake 0.028659
[247/5000][155/535][25171] Loss_D: -0.032880 Loss_G: 0.027034 Loss_D_real: -0.032769 Loss_D_fake 0.000111
[247/5000][160/535][25172] Loss_D: -0.034418 Loss_G: 0.006061 Loss_D_real: -0.015156 Loss_D_fake 0.019262
[247/5000][165/535][25173] Loss_D: -0.034151 Loss_G: 0.010734 Loss_D_real: -0.021309 Loss_D_fake 0.012842
[247/5000][170/535][25174] Loss_D: -0.032442 Loss_G: 0.036126 Loss_D_real: -0.040280 Loss_D_fake -0.007838
[247/5000][175/535][25175] Loss_D: -0.034338 Loss_G: 0.024627 Loss_D_real: -0.030792 Loss_D_fake 0.003547
[247/5000][180/535][25176] Loss_D: -0.035477 Loss_G: 0.019652 Loss_D_real: -0.021508 Loss_D_fake 0.013969
[247/5000][185/535][25177] Loss_D: -0.033290 Loss_G: 0.008347 Loss_D_real: -0.011198 Loss_D_fake 0.022092
[247/5000][190/535][25178] Loss_D: -0.031945 Loss_G: 0.030172 Loss_D_real: -0.033305 Loss_D_fake -0.001360
[247/5000][195/535][25179] Loss_D: -0.032078 Loss_G: 0.029439 Loss_D_real: -0.029371 Loss_D_fake 0.002706
[247/5000][200/535][25180] Loss_D: -0.033846 Loss_G: -0.003798 Loss_D_real: -0.011897 Loss_D_fake 0.021949
[247/5000][205/535][25181] Loss_D: -0.033606 Loss_G: 0.035753 Loss_D_real: -0.041816 Loss_D_fake -0.008210
[247/5000][210/535][25182] Loss_D: -0.035413 Loss_G: 0.032061 Loss_D_real: -0.033202 Loss_D_fake 0.002211
[247/5000][215/535][25183] Loss_D: -0.035706 Loss_G: 0.034961 Loss_D_real: -0.028712 Loss_D_fake 0.006995
[247/5000][220/535][25184] Loss_D: -0.034986 Loss_G: -0.000411 Loss_D_real: -0.013610 Loss_D_fake 0.021376
[247/5000][225/535][25185] Loss_D: -0.034860 Loss_G: 0.028807 Loss_D_real: -0.027097 Loss_D_fake 0.007763
[247/5000][230/535][25186] Loss_D: -0.034301 Loss_G: 0.033159 Loss_D_real: -0.038990 Loss_D_fake -0.004689
[247/5000][235/535][25187] Loss_D: -0.034838 Loss_G: 0.002635 Loss_D_real: -0.008979 Loss_D_fake 0.025859
[247/5000][240/535][25188] Loss_D: -0.034764 Loss_G: 0.009527 Loss_D_real: -0.016317 Loss_D_fake 0.018447
[247/5000][245/535][25189] Loss_D: -0.037187 Loss_G: 0.016165 Loss_D_real: -0.026471 Loss_D_fake 0.010716
[247/5000][250/535][25190] Loss_D: -0.033186 Loss_G: 0.036328 Loss_D_real: -0.034844 Loss_D_fake -0.001658
[247/5000][255/535][25191] Loss_D: -0.035482 Loss_G: -0.008608 Loss_D_real: -0.003669 Loss_D_fake 0.031814
[247/5000][260/535][25192] Loss_D: -0.032452 Loss_G: 0.029045 Loss_D_real: -0.035381 Loss_D_fake -0.002929
[247/5000][265/535][25193] Loss_D: -0.032365 Loss_G: -0.007235 Loss_D_real: -0.008358 Loss_D_fake 0.024007
[247/5000][270/535][25194] Loss_D: -0.035025 Loss_G: 0.022800 Loss_D_real: -0.030064 Loss_D_fake 0.004961
[247/5000][275/535][25195] Loss_D: -0.032732 Loss_G: 0.007306 Loss_D_real: -0.012989 Loss_D_fake 0.019744
[247/5000][280/535][25196] Loss_D: -0.035067 Loss_G: 0.022764 Loss_D_real: -0.021834 Loss_D_fake 0.013233
[247/5000][285/535][25197] Loss_D: -0.033851 Loss_G: 0.021921 Loss_D_real: -0.029603 Loss_D_fake 0.004249
[247/5000][290/535][25198] Loss_D: -0.035534 Loss_G: 0.008199 Loss_D_real: -0.022431 Loss_D_fake 0.013102
[247/5000][295/535][25199] Loss_D: -0.032609 Loss_G: 0.041433 Loss_D_real: -0.041412 Loss_D_fake -0.008802
[247/5000][300/535][25200] Loss_D: -0.034452 Loss_G: 0.022784 Loss_D_real: -0.019748 Loss_D_fake 0.014704
[247/5000][305/535][25201] Loss_D: -0.033027 Loss_G: -0.001962 Loss_D_real: -0.013277 Loss_D_fake 0.019750
[247/5000][310/535][25202] Loss_D: -0.034373 Loss_G: 0.014739 Loss_D_real: -0.029371 Loss_D_fake 0.005002
[247/5000][315/535][25203] Loss_D: -0.031574 Loss_G: 0.043513 Loss_D_real: -0.041215 Loss_D_fake -0.009641
[247/5000][320/535][25204] Loss_D: -0.034719 Loss_G: -0.001104 Loss_D_real: -0.005013 Loss_D_fake 0.029705
[247/5000][325/535][25205] Loss_D: -0.034776 Loss_G: -0.000954 Loss_D_real: -0.008577 Loss_D_fake 0.026198
[247/5000][330/535][25206] Loss_D: -0.033250 Loss_G: 0.009573 Loss_D_real: -0.012937 Loss_D_fake 0.020313
[247/5000][335/535][25207] Loss_D: -0.033239 Loss_G: 0.029785 Loss_D_real: -0.035627 Loss_D_fake -0.002388
[247/5000][340/535][25208] Loss_D: -0.032062 Loss_G: 0.008839 Loss_D_real: -0.016106 Loss_D_fake 0.015956
[247/5000][345/535][25209] Loss_D: -0.034537 Loss_G: 0.029289 Loss_D_real: -0.040015 Loss_D_fake -0.005478
[247/5000][350/535][25210] Loss_D: -0.035767 Loss_G: 0.022582 Loss_D_real: -0.028805 Loss_D_fake 0.006962
[247/5000][355/535][25211] Loss_D: -0.033686 Loss_G: 0.004742 Loss_D_real: -0.019379 Loss_D_fake 0.014307
[247/5000][360/535][25212] Loss_D: -0.033898 Loss_G: 0.014092 Loss_D_real: -0.023498 Loss_D_fake 0.010400
[247/5000][365/535][25213] Loss_D: -0.035528 Loss_G: 0.005291 Loss_D_real: -0.008194 Loss_D_fake 0.027334
[247/5000][370/535][25214] Loss_D: -0.034642 Loss_G: 0.012680 Loss_D_real: -0.016558 Loss_D_fake 0.018085
[247/5000][375/535][25215] Loss_D: -0.033858 Loss_G: 0.031385 Loss_D_real: -0.038311 Loss_D_fake -0.004454
[247/5000][380/535][25216] Loss_D: -0.035158 Loss_G: 0.003351 Loss_D_real: -0.014136 Loss_D_fake 0.021022
[247/5000][385/535][25217] Loss_D: -0.033964 Loss_G: 0.029322 Loss_D_real: -0.029541 Loss_D_fake 0.004423
[247/5000][390/535][25218] Loss_D: -0.033864 Loss_G: -0.002830 Loss_D_real: -0.006423 Loss_D_fake 0.027442
[247/5000][395/535][25219] Loss_D: -0.034319 Loss_G: 0.010773 Loss_D_real: -0.014464 Loss_D_fake 0.019855
[247/5000][400/535][25220] Loss_D: -0.033644 Loss_G: 0.036722 Loss_D_real: -0.041814 Loss_D_fake -0.008170
[247/5000][405/535][25221] Loss_D: -0.034241 Loss_G: 0.014663 Loss_D_real: -0.020962 Loss_D_fake 0.013279
[247/5000][410/535][25222] Loss_D: -0.035671 Loss_G: 0.009934 Loss_D_real: -0.014326 Loss_D_fake 0.021345
[247/5000][415/535][25223] Loss_D: -0.035157 Loss_G: 0.025438 Loss_D_real: -0.023468 Loss_D_fake 0.011689
[247/5000][420/535][25224] Loss_D: -0.033337 Loss_G: -0.009131 Loss_D_real: -0.003182 Loss_D_fake 0.030155
[247/5000][425/535][25225] Loss_D: -0.032351 Loss_G: 0.040390 Loss_D_real: -0.041972 Loss_D_fake -0.009621
[247/5000][430/535][25226] Loss_D: -0.035140 Loss_G: 0.008331 Loss_D_real: -0.012383 Loss_D_fake 0.022757
[247/5000][435/535][25227] Loss_D: -0.034296 Loss_G: 0.038857 Loss_D_real: -0.036890 Loss_D_fake -0.002594
[247/5000][440/535][25228] Loss_D: -0.032786 Loss_G: -0.007624 Loss_D_real: -0.002722 Loss_D_fake 0.030064
[247/5000][445/535][25229] Loss_D: -0.032775 Loss_G: 0.021607 Loss_D_real: -0.021243 Loss_D_fake 0.011532
[247/5000][450/535][25230] Loss_D: -0.033557 Loss_G: 0.026608 Loss_D_real: -0.036594 Loss_D_fake -0.003037
[247/5000][455/535][25231] Loss_D: -0.034356 Loss_G: 0.003037 Loss_D_real: -0.015432 Loss_D_fake 0.018924
[247/5000][460/535][25232] Loss_D: -0.033199 Loss_G: 0.037081 Loss_D_real: -0.037249 Loss_D_fake -0.004050
[247/5000][465/535][25233] Loss_D: -0.034182 Loss_G: 0.012685 Loss_D_real: -0.023507 Loss_D_fake 0.010675
[247/5000][470/535][25234] Loss_D: -0.035737 Loss_G: 0.023182 Loss_D_real: -0.026435 Loss_D_fake 0.009302
[247/5000][475/535][25235] Loss_D: -0.035101 Loss_G: 0.011385 Loss_D_real: -0.016972 Loss_D_fake 0.018129
[247/5000][480/535][25236] Loss_D: -0.032607 Loss_G: 0.037769 Loss_D_real: -0.038479 Loss_D_fake -0.005872
[247/5000][485/535][25237] Loss_D: -0.032630 Loss_G: 0.032958 Loss_D_real: -0.034425 Loss_D_fake -0.001795
[247/5000][490/535][25238] Loss_D: -0.033569 Loss_G: 0.008566 Loss_D_real: -0.018133 Loss_D_fake 0.015437
[247/5000][495/535][25239] Loss_D: -0.031384 Loss_G: 0.034935 Loss_D_real: -0.036898 Loss_D_fake -0.005514
[247/5000][500/535][25240] Loss_D: -0.033583 Loss_G: 0.020268 Loss_D_real: -0.021711 Loss_D_fake 0.011872
[247/5000][505/535][25241] Loss_D: -0.034112 Loss_G: 0.008659 Loss_D_real: -0.023472 Loss_D_fake 0.010640
[247/5000][510/535][25242] Loss_D: -0.032563 Loss_G: 0.022715 Loss_D_real: -0.028049 Loss_D_fake 0.004514
[247/5000][515/535][25243] Loss_D: -0.033982 Loss_G: 0.012421 Loss_D_real: -0.018831 Loss_D_fake 0.015151
[247/5000][520/535][25244] Loss_D: -0.036686 Loss_G: 0.009095 Loss_D_real: -0.018159 Loss_D_fake 0.018527
[247/5000][525/535][25245] Loss_D: -0.034252 Loss_G: 0.005816 Loss_D_real: -0.009516 Loss_D_fake 0.024736
[247/5000][530/535][25246] Loss_D: -0.034888 Loss_G: 0.037208 Loss_D_real: -0.037274 Loss_D_fake -0.002386
[247/5000][535/535][25247] Loss_D: -0.037815 Loss_G: 0.013156 Loss_D_real: -0.022497 Loss_D_fake 0.015319
[248/5000][5/535][25248] Loss_D: -0.033413 Loss_G: 0.016205 Loss_D_real: -0.012231 Loss_D_fake 0.021182
[248/5000][10/535][25249] Loss_D: -0.034589 Loss_G: 0.015684 Loss_D_real: -0.017712 Loss_D_fake 0.016877
[248/5000][15/535][25250] Loss_D: -0.034305 Loss_G: 0.025255 Loss_D_real: -0.032561 Loss_D_fake 0.001744
[248/5000][20/535][25251] Loss_D: -0.034604 Loss_G: 0.002117 Loss_D_real: -0.011438 Loss_D_fake 0.023166
[248/5000][25/535][25252] Loss_D: -0.033678 Loss_G: 0.038347 Loss_D_real: -0.042438 Loss_D_fake -0.008760
[248/5000][30/535][25253] Loss_D: -0.032714 Loss_G: 0.012141 Loss_D_real: -0.013556 Loss_D_fake 0.019158
[248/5000][35/535][25254] Loss_D: -0.034824 Loss_G: 0.020296 Loss_D_real: -0.029129 Loss_D_fake 0.005694
[248/5000][40/535][25255] Loss_D: -0.034860 Loss_G: 0.029423 Loss_D_real: -0.031527 Loss_D_fake 0.003332
[248/5000][45/535][25256] Loss_D: -0.034653 Loss_G: 0.003621 Loss_D_real: -0.012617 Loss_D_fake 0.022036
[248/5000][50/535][25257] Loss_D: -0.035577 Loss_G: 0.009741 Loss_D_real: -0.024773 Loss_D_fake 0.010804
[248/5000][55/535][25258] Loss_D: -0.036469 Loss_G: 0.038119 Loss_D_real: -0.038003 Loss_D_fake -0.001534
[248/5000][60/535][25259] Loss_D: -0.033963 Loss_G: 0.018324 Loss_D_real: -0.021124 Loss_D_fake 0.012839
[248/5000][65/535][25260] Loss_D: -0.035090 Loss_G: 0.016144 Loss_D_real: -0.027572 Loss_D_fake 0.007519
[248/5000][70/535][25261] Loss_D: -0.035245 Loss_G: -0.002975 Loss_D_real: -0.010208 Loss_D_fake 0.025037
[248/5000][75/535][25262] Loss_D: -0.036088 Loss_G: 0.016737 Loss_D_real: -0.018041 Loss_D_fake 0.018047
[248/5000][80/535][25263] Loss_D: -0.033416 Loss_G: 0.027507 Loss_D_real: -0.039128 Loss_D_fake -0.005712
[248/5000][85/535][25264] Loss_D: -0.035899 Loss_G: 0.012757 Loss_D_real: -0.017453 Loss_D_fake 0.018447
[248/5000][90/535][25265] Loss_D: -0.032910 Loss_G: 0.036850 Loss_D_real: -0.036184 Loss_D_fake -0.003274
[248/5000][95/535][25266] Loss_D: -0.034321 Loss_G: 0.007748 Loss_D_real: -0.010933 Loss_D_fake 0.023388
[248/5000][100/535][25267] Loss_D: -0.033261 Loss_G: 0.033969 Loss_D_real: -0.039461 Loss_D_fake -0.006201
[248/5000][105/535][25268] Loss_D: -0.033603 Loss_G: 0.031315 Loss_D_real: -0.029729 Loss_D_fake 0.003874
[248/5000][110/535][25269] Loss_D: -0.033695 Loss_G: 0.016471 Loss_D_real: -0.025808 Loss_D_fake 0.007887
[248/5000][115/535][25270] Loss_D: -0.033947 Loss_G: -0.001201 Loss_D_real: -0.007424 Loss_D_fake 0.026523
[248/5000][120/535][25271] Loss_D: -0.032107 Loss_G: 0.000756 Loss_D_real: -0.009303 Loss_D_fake 0.022803
[248/5000][125/535][25272] Loss_D: -0.033799 Loss_G: 0.034442 Loss_D_real: -0.042440 Loss_D_fake -0.008641
[248/5000][130/535][25273] Loss_D: -0.034359 Loss_G: -0.003270 Loss_D_real: -0.002586 Loss_D_fake 0.031773
[248/5000][135/535][25274] Loss_D: -0.034207 Loss_G: 0.032851 Loss_D_real: -0.037116 Loss_D_fake -0.002909
[248/5000][140/535][25275] Loss_D: -0.033692 Loss_G: 0.016435 Loss_D_real: -0.018958 Loss_D_fake 0.014734
[248/5000][145/535][25276] Loss_D: -0.034139 Loss_G: 0.036396 Loss_D_real: -0.036405 Loss_D_fake -0.002267
[248/5000][150/535][25277] Loss_D: -0.032995 Loss_G: 0.007199 Loss_D_real: -0.014857 Loss_D_fake 0.018138
[248/5000][155/535][25278] Loss_D: -0.033326 Loss_G: 0.016753 Loss_D_real: -0.021225 Loss_D_fake 0.012101
[248/5000][160/535][25279] Loss_D: -0.035167 Loss_G: 0.000183 Loss_D_real: -0.009336 Loss_D_fake 0.025830
[248/5000][165/535][25280] Loss_D: -0.035435 Loss_G: 0.029669 Loss_D_real: -0.029961 Loss_D_fake 0.005474
[248/5000][170/535][25281] Loss_D: -0.034069 Loss_G: 0.016133 Loss_D_real: -0.017796 Loss_D_fake 0.016272
[248/5000][175/535][25282] Loss_D: -0.033556 Loss_G: 0.031178 Loss_D_real: -0.038924 Loss_D_fake -0.005368
[248/5000][180/535][25283] Loss_D: -0.035531 Loss_G: 0.018483 Loss_D_real: -0.030427 Loss_D_fake 0.005104
[248/5000][185/535][25284] Loss_D: -0.033383 Loss_G: 0.039045 Loss_D_real: -0.040681 Loss_D_fake -0.007298
[248/5000][190/535][25285] Loss_D: -0.033623 Loss_G: -0.006622 Loss_D_real: 0.000476 Loss_D_fake 0.034099
[248/5000][195/535][25286] Loss_D: -0.032016 Loss_G: 0.037215 Loss_D_real: -0.044036 Loss_D_fake -0.012020
[248/5000][200/535][25287] Loss_D: -0.036370 Loss_G: 0.008834 Loss_D_real: -0.013191 Loss_D_fake 0.023179
[248/5000][205/535][25288] Loss_D: -0.034424 Loss_G: 0.012607 Loss_D_real: -0.021939 Loss_D_fake 0.012484
[248/5000][210/535][25289] Loss_D: -0.033247 Loss_G: 0.014492 Loss_D_real: -0.026280 Loss_D_fake 0.006966
[248/5000][215/535][25290] Loss_D: -0.034979 Loss_G: 0.012646 Loss_D_real: -0.019091 Loss_D_fake 0.015888
[248/5000][220/535][25291] Loss_D: -0.032894 Loss_G: 0.012097 Loss_D_real: -0.013588 Loss_D_fake 0.019306
[248/5000][225/535][25292] Loss_D: -0.033993 Loss_G: 0.012946 Loss_D_real: -0.023664 Loss_D_fake 0.010329
[248/5000][230/535][25293] Loss_D: -0.035372 Loss_G: 0.032744 Loss_D_real: -0.028280 Loss_D_fake 0.007093
[248/5000][235/535][25294] Loss_D: -0.034938 Loss_G: 0.000783 Loss_D_real: -0.010208 Loss_D_fake 0.024731
[248/5000][240/535][25295] Loss_D: -0.032828 Loss_G: 0.012581 Loss_D_real: -0.019723 Loss_D_fake 0.013104
[248/5000][245/535][25296] Loss_D: -0.034604 Loss_G: 0.013499 Loss_D_real: -0.023262 Loss_D_fake 0.011343
[248/5000][250/535][25297] Loss_D: -0.034177 Loss_G: 0.028239 Loss_D_real: -0.035467 Loss_D_fake -0.001291
[248/5000][255/535][25298] Loss_D: -0.033393 Loss_G: -0.010904 Loss_D_real: 0.001700 Loss_D_fake 0.035092
[248/5000][260/535][25299] Loss_D: -0.033498 Loss_G: 0.021948 Loss_D_real: -0.020668 Loss_D_fake 0.012831
[248/5000][265/535][25300] Loss_D: -0.033003 Loss_G: -0.005829 Loss_D_real: -0.009865 Loss_D_fake 0.023138
[248/5000][270/535][25301] Loss_D: -0.033475 Loss_G: 0.020451 Loss_D_real: -0.027018 Loss_D_fake 0.006457
[248/5000][275/535][25302] Loss_D: -0.034728 Loss_G: 0.021892 Loss_D_real: -0.023623 Loss_D_fake 0.011104
[248/5000][280/535][25303] Loss_D: -0.034082 Loss_G: 0.025783 Loss_D_real: -0.029046 Loss_D_fake 0.005036
[248/5000][285/535][25304] Loss_D: -0.034987 Loss_G: -0.000660 Loss_D_real: -0.008488 Loss_D_fake 0.026499
[248/5000][290/535][25305] Loss_D: -0.034437 Loss_G: 0.042331 Loss_D_real: -0.033506 Loss_D_fake 0.000931
[248/5000][295/535][25306] Loss_D: -0.033586 Loss_G: 0.013512 Loss_D_real: -0.015227 Loss_D_fake 0.018359
[248/5000][300/535][25307] Loss_D: -0.034550 Loss_G: 0.019873 Loss_D_real: -0.028976 Loss_D_fake 0.005574
[248/5000][305/535][25308] Loss_D: -0.034302 Loss_G: 0.001628 Loss_D_real: -0.010439 Loss_D_fake 0.023864
[248/5000][310/535][25309] Loss_D: -0.033044 Loss_G: 0.021852 Loss_D_real: -0.027221 Loss_D_fake 0.005823
[248/5000][315/535][25310] Loss_D: -0.034455 Loss_G: 0.021043 Loss_D_real: -0.024947 Loss_D_fake 0.009508
[248/5000][320/535][25311] Loss_D: -0.034252 Loss_G: -0.004637 Loss_D_real: -0.016996 Loss_D_fake 0.017256
[248/5000][325/535][25312] Loss_D: -0.031967 Loss_G: 0.040168 Loss_D_real: -0.045316 Loss_D_fake -0.013349
[248/5000][330/535][25313] Loss_D: -0.035785 Loss_G: 0.013777 Loss_D_real: -0.023551 Loss_D_fake 0.012234
[248/5000][335/535][25314] Loss_D: -0.032127 Loss_G: 0.025346 Loss_D_real: -0.027502 Loss_D_fake 0.004625
[248/5000][340/535][25315] Loss_D: -0.033766 Loss_G: 0.045331 Loss_D_real: -0.041993 Loss_D_fake -0.008227
[248/5000][345/535][25316] Loss_D: -0.035201 Loss_G: -0.003547 Loss_D_real: -0.014098 Loss_D_fake 0.021104
[248/5000][350/535][25317] Loss_D: -0.032589 Loss_G: 0.039354 Loss_D_real: -0.043184 Loss_D_fake -0.010596
[248/5000][355/535][25318] Loss_D: -0.033572 Loss_G: -0.009705 Loss_D_real: -0.004642 Loss_D_fake 0.028930
[248/5000][360/535][25319] Loss_D: -0.034173 Loss_G: 0.027233 Loss_D_real: -0.035604 Loss_D_fake -0.001431
[248/5000][365/535][25320] Loss_D: -0.034011 Loss_G: 0.021004 Loss_D_real: -0.019948 Loss_D_fake 0.014063
[248/5000][370/535][25321] Loss_D: -0.034448 Loss_G: 0.029323 Loss_D_real: -0.030963 Loss_D_fake 0.003485
[248/5000][375/535][25322] Loss_D: -0.032873 Loss_G: -0.001697 Loss_D_real: -0.012871 Loss_D_fake 0.020001
[248/5000][380/535][25323] Loss_D: -0.033107 Loss_G: 0.024082 Loss_D_real: -0.029952 Loss_D_fake 0.003155
[248/5000][385/535][25324] Loss_D: -0.031267 Loss_G: 0.033645 Loss_D_real: -0.033062 Loss_D_fake -0.001795
[248/5000][390/535][25325] Loss_D: -0.032735 Loss_G: -0.012994 Loss_D_real: 0.001215 Loss_D_fake 0.033950
[248/5000][395/535][25326] Loss_D: -0.033535 Loss_G: 0.032782 Loss_D_real: -0.029719 Loss_D_fake 0.003816
[248/5000][400/535][25327] Loss_D: -0.033351 Loss_G: 0.002359 Loss_D_real: -0.012019 Loss_D_fake 0.021332
[248/5000][405/535][25328] Loss_D: -0.033965 Loss_G: 0.029698 Loss_D_real: -0.032889 Loss_D_fake 0.001077
[248/5000][410/535][25329] Loss_D: -0.035157 Loss_G: 0.026736 Loss_D_real: -0.027803 Loss_D_fake 0.007354
[248/5000][415/535][25330] Loss_D: -0.037509 Loss_G: 0.015263 Loss_D_real: -0.023561 Loss_D_fake 0.013949
[248/5000][420/535][25331] Loss_D: -0.034319 Loss_G: 0.002316 Loss_D_real: -0.011513 Loss_D_fake 0.022807
[248/5000][425/535][25332] Loss_D: -0.033303 Loss_G: 0.006201 Loss_D_real: -0.009721 Loss_D_fake 0.023582
[248/5000][430/535][25333] Loss_D: -0.034386 Loss_G: 0.029715 Loss_D_real: -0.039872 Loss_D_fake -0.005486
[248/5000][435/535][25334] Loss_D: -0.036939 Loss_G: 0.027785 Loss_D_real: -0.029879 Loss_D_fake 0.007060
[248/5000][440/535][25335] Loss_D: -0.033775 Loss_G: 0.030375 Loss_D_real: -0.035801 Loss_D_fake -0.002025
[248/5000][445/535][25336] Loss_D: -0.034592 Loss_G: 0.008488 Loss_D_real: -0.016182 Loss_D_fake 0.018409
[248/5000][450/535][25337] Loss_D: -0.033137 Loss_G: 0.024472 Loss_D_real: -0.027238 Loss_D_fake 0.005899
[248/5000][455/535][25338] Loss_D: -0.033234 Loss_G: 0.011617 Loss_D_real: -0.025498 Loss_D_fake 0.007737
[248/5000][460/535][25339] Loss_D: -0.034276 Loss_G: -0.007401 Loss_D_real: -0.017761 Loss_D_fake 0.016514
[248/5000][465/535][25340] Loss_D: -0.034822 Loss_G: 0.011993 Loss_D_real: -0.018857 Loss_D_fake 0.015966
[248/5000][470/535][25341] Loss_D: -0.031658 Loss_G: 0.033214 Loss_D_real: -0.049497 Loss_D_fake -0.017839
[248/5000][475/535][25342] Loss_D: -0.034886 Loss_G: 0.015095 Loss_D_real: -0.023350 Loss_D_fake 0.011536
[248/5000][480/535][25343] Loss_D: -0.033920 Loss_G: 0.044844 Loss_D_real: -0.040894 Loss_D_fake -0.006974
[248/5000][485/535][25344] Loss_D: -0.035992 Loss_G: 0.008890 Loss_D_real: -0.016826 Loss_D_fake 0.019166
[248/5000][490/535][25345] Loss_D: -0.035535 Loss_G: 0.023183 Loss_D_real: -0.026203 Loss_D_fake 0.009332
[248/5000][495/535][25346] Loss_D: -0.036305 Loss_G: 0.022506 Loss_D_real: -0.030918 Loss_D_fake 0.005388
[248/5000][500/535][25347] Loss_D: -0.034008 Loss_G: 0.002393 Loss_D_real: -0.004466 Loss_D_fake 0.029542
[248/5000][505/535][25348] Loss_D: -0.034352 Loss_G: 0.006072 Loss_D_real: -0.022236 Loss_D_fake 0.012116
[248/5000][510/535][25349] Loss_D: -0.032591 Loss_G: 0.048613 Loss_D_real: -0.038589 Loss_D_fake -0.005999
[248/5000][515/535][25350] Loss_D: -0.033808 Loss_G: -0.004418 Loss_D_real: -0.008773 Loss_D_fake 0.025034
[248/5000][520/535][25351] Loss_D: -0.034125 Loss_G: 0.018071 Loss_D_real: -0.025706 Loss_D_fake 0.008418
[248/5000][525/535][25352] Loss_D: -0.032813 Loss_G: 0.007652 Loss_D_real: -0.021338 Loss_D_fake 0.011475
[248/5000][530/535][25353] Loss_D: -0.037161 Loss_G: 0.013293 Loss_D_real: -0.018435 Loss_D_fake 0.018727
[248/5000][535/535][25354] Loss_D: -0.030715 Loss_G: 0.037986 Loss_D_real: -0.026523 Loss_D_fake 0.004192
[249/5000][5/535][25355] Loss_D: -0.033097 Loss_G: 0.034381 Loss_D_real: -0.034223 Loss_D_fake -0.001125
[249/5000][10/535][25356] Loss_D: -0.034734 Loss_G: 0.003705 Loss_D_real: -0.010965 Loss_D_fake 0.023770
[249/5000][15/535][25357] Loss_D: -0.033939 Loss_G: 0.021495 Loss_D_real: -0.025274 Loss_D_fake 0.008665
[249/5000][20/535][25358] Loss_D: -0.035645 Loss_G: 0.030254 Loss_D_real: -0.038256 Loss_D_fake -0.002611
[249/5000][25/535][25359] Loss_D: -0.034118 Loss_G: 0.011149 Loss_D_real: -0.012584 Loss_D_fake 0.021534
[249/5000][30/535][25360] Loss_D: -0.035435 Loss_G: 0.021176 Loss_D_real: -0.028099 Loss_D_fake 0.007337
[249/5000][35/535][25361] Loss_D: -0.035311 Loss_G: 0.004366 Loss_D_real: -0.013648 Loss_D_fake 0.021663
[249/5000][40/535][25362] Loss_D: -0.033794 Loss_G: 0.015111 Loss_D_real: -0.024408 Loss_D_fake 0.009386
[249/5000][45/535][25363] Loss_D: -0.035512 Loss_G: 0.048197 Loss_D_real: -0.040269 Loss_D_fake -0.004758
[249/5000][50/535][25364] Loss_D: -0.033524 Loss_G: -0.003088 Loss_D_real: -0.016659 Loss_D_fake 0.016865
[249/5000][55/535][25365] Loss_D: -0.034162 Loss_G: 0.028109 Loss_D_real: -0.029676 Loss_D_fake 0.004486
[249/5000][60/535][25366] Loss_D: -0.032964 Loss_G: -0.002764 Loss_D_real: -0.011003 Loss_D_fake 0.021960
[249/5000][65/535][25367] Loss_D: -0.034123 Loss_G: 0.028054 Loss_D_real: -0.034004 Loss_D_fake 0.000119
[249/5000][70/535][25368] Loss_D: -0.033203 Loss_G: 0.001992 Loss_D_real: -0.011160 Loss_D_fake 0.022043
[249/5000][75/535][25369] Loss_D: -0.035725 Loss_G: 0.019355 Loss_D_real: -0.018897 Loss_D_fake 0.016828
[249/5000][80/535][25370] Loss_D: -0.032063 Loss_G: 0.015571 Loss_D_real: -0.020125 Loss_D_fake 0.011938
[249/5000][85/535][25371] Loss_D: -0.034686 Loss_G: 0.009849 Loss_D_real: -0.022359 Loss_D_fake 0.012327
[249/5000][90/535][25372] Loss_D: -0.033896 Loss_G: 0.026361 Loss_D_real: -0.028518 Loss_D_fake 0.005378
[249/5000][95/535][25373] Loss_D: -0.033792 Loss_G: 0.008377 Loss_D_real: -0.013444 Loss_D_fake 0.020348
[249/5000][100/535][25374] Loss_D: -0.034532 Loss_G: 0.026713 Loss_D_real: -0.031315 Loss_D_fake 0.003217
[249/5000][105/535][25375] Loss_D: -0.033848 Loss_G: 0.019322 Loss_D_real: -0.026016 Loss_D_fake 0.007832
[249/5000][110/535][25376] Loss_D: -0.034374 Loss_G: 0.000281 Loss_D_real: -0.007810 Loss_D_fake 0.026564
[249/5000][115/535][25377] Loss_D: -0.035832 Loss_G: 0.018258 Loss_D_real: -0.029624 Loss_D_fake 0.006208
[249/5000][120/535][25378] Loss_D: -0.034831 Loss_G: 0.025714 Loss_D_real: -0.031332 Loss_D_fake 0.003499
[249/5000][125/535][25379] Loss_D: -0.037054 Loss_G: 0.015610 Loss_D_real: -0.017409 Loss_D_fake 0.019645
[249/5000][130/535][25380] Loss_D: -0.034490 Loss_G: 0.005404 Loss_D_real: -0.018551 Loss_D_fake 0.015939
[249/5000][135/535][25381] Loss_D: -0.034303 Loss_G: 0.017863 Loss_D_real: -0.018974 Loss_D_fake 0.015329
[249/5000][140/535][25382] Loss_D: -0.035077 Loss_G: 0.041488 Loss_D_real: -0.034462 Loss_D_fake 0.000615
[249/5000][145/535][25383] Loss_D: -0.034841 Loss_G: 0.015537 Loss_D_real: -0.021387 Loss_D_fake 0.013454
[249/5000][150/535][25384] Loss_D: -0.033785 Loss_G: 0.043015 Loss_D_real: -0.044742 Loss_D_fake -0.010958
[249/5000][155/535][25385] Loss_D: -0.034517 Loss_G: 0.010104 Loss_D_real: -0.014606 Loss_D_fake 0.019911
[249/5000][160/535][25386] Loss_D: -0.033527 Loss_G: 0.032762 Loss_D_real: -0.035847 Loss_D_fake -0.002320
[249/5000][165/535][25387] Loss_D: -0.033953 Loss_G: 0.032624 Loss_D_real: -0.038151 Loss_D_fake -0.004199
[249/5000][170/535][25388] Loss_D: -0.035261 Loss_G: -0.000499 Loss_D_real: -0.009141 Loss_D_fake 0.026120
[249/5000][175/535][25389] Loss_D: -0.034220 Loss_G: 0.028920 Loss_D_real: -0.029148 Loss_D_fake 0.005072
[249/5000][180/535][25390] Loss_D: -0.033523 Loss_G: 0.016448 Loss_D_real: -0.012533 Loss_D_fake 0.020990
[249/5000][185/535][25391] Loss_D: -0.035277 Loss_G: 0.030234 Loss_D_real: -0.032066 Loss_D_fake 0.003211
[249/5000][190/535][25392] Loss_D: -0.034877 Loss_G: -0.007933 Loss_D_real: -0.002517 Loss_D_fake 0.032360
[249/5000][195/535][25393] Loss_D: -0.033014 Loss_G: -0.000448 Loss_D_real: -0.014134 Loss_D_fake 0.018880
[249/5000][200/535][25394] Loss_D: -0.031633 Loss_G: 0.042974 Loss_D_real: -0.041985 Loss_D_fake -0.010352
[249/5000][205/535][25395] Loss_D: -0.033026 Loss_G: 0.001086 Loss_D_real: -0.005354 Loss_D_fake 0.027672
[249/5000][210/535][25396] Loss_D: -0.033125 Loss_G: 0.030892 Loss_D_real: -0.037002 Loss_D_fake -0.003877
[249/5000][215/535][25397] Loss_D: -0.032900 Loss_G: 0.030328 Loss_D_real: -0.032970 Loss_D_fake -0.000070
[249/5000][220/535][25398] Loss_D: -0.034819 Loss_G: 0.012119 Loss_D_real: -0.022987 Loss_D_fake 0.011832
[249/5000][225/535][25399] Loss_D: -0.034256 Loss_G: 0.005595 Loss_D_real: -0.016800 Loss_D_fake 0.017457
[249/5000][230/535][25400] Loss_D: -0.032197 Loss_G: 0.036117 Loss_D_real: -0.034699 Loss_D_fake -0.002502
[249/5000][235/535][25401] Loss_D: -0.034292 Loss_G: 0.023231 Loss_D_real: -0.030049 Loss_D_fake 0.004243
[249/5000][240/535][25402] Loss_D: -0.035673 Loss_G: 0.007574 Loss_D_real: -0.022281 Loss_D_fake 0.013392
[249/5000][245/535][25403] Loss_D: -0.034250 Loss_G: 0.035862 Loss_D_real: -0.037256 Loss_D_fake -0.003006
[249/5000][250/535][25404] Loss_D: -0.035283 Loss_G: -0.001438 Loss_D_real: -0.011487 Loss_D_fake 0.023796
[249/5000][255/535][25405] Loss_D: -0.032834 Loss_G: 0.027508 Loss_D_real: -0.027652 Loss_D_fake 0.005183
[249/5000][260/535][25406] Loss_D: -0.033705 Loss_G: -0.002461 Loss_D_real: -0.002016 Loss_D_fake 0.031689
[249/5000][265/535][25407] Loss_D: -0.034576 Loss_G: 0.022150 Loss_D_real: -0.025313 Loss_D_fake 0.009263
[249/5000][270/535][25408] Loss_D: -0.035703 Loss_G: 0.008081 Loss_D_real: -0.018539 Loss_D_fake 0.017164
[249/5000][275/535][25409] Loss_D: -0.034866 Loss_G: 0.020458 Loss_D_real: -0.019242 Loss_D_fake 0.015624
[249/5000][280/535][25410] Loss_D: -0.032925 Loss_G: 0.001171 Loss_D_real: -0.007135 Loss_D_fake 0.025790
[249/5000][285/535][25411] Loss_D: -0.032737 Loss_G: 0.019075 Loss_D_real: -0.022024 Loss_D_fake 0.010713
[249/5000][290/535][25412] Loss_D: -0.034655 Loss_G: 0.023408 Loss_D_real: -0.025275 Loss_D_fake 0.009379
[249/5000][295/535][25413] Loss_D: -0.034604 Loss_G: 0.031266 Loss_D_real: -0.029965 Loss_D_fake 0.004640
[249/5000][300/535][25414] Loss_D: -0.033927 Loss_G: -0.001805 Loss_D_real: -0.015118 Loss_D_fake 0.018810
[249/5000][305/535][25415] Loss_D: -0.033750 Loss_G: 0.036548 Loss_D_real: -0.035560 Loss_D_fake -0.001811
[249/5000][310/535][25416] Loss_D: -0.033677 Loss_G: -0.014898 Loss_D_real: -0.006980 Loss_D_fake 0.026697
[249/5000][315/535][25417] Loss_D: -0.033329 Loss_G: 0.018200 Loss_D_real: -0.028244 Loss_D_fake 0.005085
[249/5000][320/535][25418] Loss_D: -0.034032 Loss_G: 0.000361 Loss_D_real: -0.014989 Loss_D_fake 0.019043
[249/5000][325/535][25419] Loss_D: -0.033167 Loss_G: 0.032343 Loss_D_real: -0.035690 Loss_D_fake -0.002522
[249/5000][330/535][25420] Loss_D: -0.034226 Loss_G: 0.007085 Loss_D_real: -0.017051 Loss_D_fake 0.017175
[249/5000][335/535][25421] Loss_D: -0.034517 Loss_G: 0.032756 Loss_D_real: -0.036379 Loss_D_fake -0.001862
[249/5000][340/535][25422] Loss_D: -0.033819 Loss_G: 0.001334 Loss_D_real: -0.010637 Loss_D_fake 0.023182
[249/5000][345/535][25423] Loss_D: -0.032379 Loss_G: 0.031838 Loss_D_real: -0.036273 Loss_D_fake -0.003894
[249/5000][350/535][25424] Loss_D: -0.033668 Loss_G: 0.001398 Loss_D_real: -0.008158 Loss_D_fake 0.025510
[249/5000][355/535][25425] Loss_D: -0.033531 Loss_G: 0.004740 Loss_D_real: -0.015972 Loss_D_fake 0.017559
[249/5000][360/535][25426] Loss_D: -0.035012 Loss_G: 0.016267 Loss_D_real: -0.027173 Loss_D_fake 0.007839
[249/5000][365/535][25427] Loss_D: -0.033770 Loss_G: 0.013548 Loss_D_real: -0.018787 Loss_D_fake 0.014982
[249/5000][370/535][25428] Loss_D: -0.034547 Loss_G: 0.032611 Loss_D_real: -0.029681 Loss_D_fake 0.004867
[249/5000][375/535][25429] Loss_D: -0.033715 Loss_G: 0.020878 Loss_D_real: -0.025886 Loss_D_fake 0.007829
[249/5000][380/535][25430] Loss_D: -0.034940 Loss_G: 0.021525 Loss_D_real: -0.029029 Loss_D_fake 0.005911
[249/5000][385/535][25431] Loss_D: -0.034467 Loss_G: 0.002814 Loss_D_real: -0.020083 Loss_D_fake 0.014385
[249/5000][390/535][25432] Loss_D: -0.034960 Loss_G: 0.029866 Loss_D_real: -0.029970 Loss_D_fake 0.004990
[249/5000][395/535][25433] Loss_D: -0.034206 Loss_G: 0.033308 Loss_D_real: -0.029557 Loss_D_fake 0.004649
[249/5000][400/535][25434] Loss_D: -0.033645 Loss_G: -0.002666 Loss_D_real: -0.014985 Loss_D_fake 0.018661
[249/5000][405/535][25435] Loss_D: -0.034131 Loss_G: 0.047481 Loss_D_real: -0.032496 Loss_D_fake 0.001634
[249/5000][410/535][25436] Loss_D: -0.033637 Loss_G: -0.001982 Loss_D_real: -0.007311 Loss_D_fake 0.026326
[249/5000][415/535][25437] Loss_D: -0.034352 Loss_G: 0.019169 Loss_D_real: -0.024148 Loss_D_fake 0.010204
[249/5000][420/535][25438] Loss_D: -0.035597 Loss_G: 0.019489 Loss_D_real: -0.025331 Loss_D_fake 0.010266
[249/5000][425/535][25439] Loss_D: -0.036349 Loss_G: 0.015612 Loss_D_real: -0.023404 Loss_D_fake 0.012945
[249/5000][430/535][25440] Loss_D: -0.034674 Loss_G: 0.034739 Loss_D_real: -0.034178 Loss_D_fake 0.000496
[249/5000][435/535][25441] Loss_D: -0.034090 Loss_G: 0.008050 Loss_D_real: -0.014028 Loss_D_fake 0.020062
[249/5000][440/535][25442] Loss_D: -0.032717 Loss_G: 0.032814 Loss_D_real: -0.040631 Loss_D_fake -0.007914
[249/5000][445/535][25443] Loss_D: -0.033437 Loss_G: -0.002438 Loss_D_real: -0.004970 Loss_D_fake 0.028467
[249/5000][450/535][25444] Loss_D: -0.032676 Loss_G: 0.035352 Loss_D_real: -0.034552 Loss_D_fake -0.001875
[249/5000][455/535][25445] Loss_D: -0.033838 Loss_G: 0.000577 Loss_D_real: -0.012846 Loss_D_fake 0.020991
[249/5000][460/535][25446] Loss_D: -0.033822 Loss_G: 0.021827 Loss_D_real: -0.027255 Loss_D_fake 0.006566
[249/5000][465/535][25447] Loss_D: -0.033780 Loss_G: 0.007047 Loss_D_real: -0.016120 Loss_D_fake 0.017660
[249/5000][470/535][25448] Loss_D: -0.034757 Loss_G: 0.025827 Loss_D_real: -0.032916 Loss_D_fake 0.001841
[249/5000][475/535][25449] Loss_D: -0.032733 Loss_G: -0.010607 Loss_D_real: -0.004178 Loss_D_fake 0.028556
[249/5000][480/535][25450] Loss_D: -0.032977 Loss_G: 0.014197 Loss_D_real: -0.021373 Loss_D_fake 0.011604
[249/5000][485/535][25451] Loss_D: -0.033782 Loss_G: 0.032946 Loss_D_real: -0.038021 Loss_D_fake -0.004239
[249/5000][490/535][25452] Loss_D: -0.032664 Loss_G: -0.008811 Loss_D_real: -0.006076 Loss_D_fake 0.026588
[249/5000][495/535][25453] Loss_D: -0.034071 Loss_G: 0.008740 Loss_D_real: -0.016237 Loss_D_fake 0.017834
[249/5000][500/535][25454] Loss_D: -0.034545 Loss_G: 0.019961 Loss_D_real: -0.030298 Loss_D_fake 0.004248
[249/5000][505/535][25455] Loss_D: -0.035789 Loss_G: 0.025713 Loss_D_real: -0.032329 Loss_D_fake 0.003460
[249/5000][510/535][25456] Loss_D: -0.033804 Loss_G: 0.000375 Loss_D_real: -0.005240 Loss_D_fake 0.028564
[249/5000][515/535][25457] Loss_D: -0.034649 Loss_G: 0.031681 Loss_D_real: -0.041204 Loss_D_fake -0.006554
[249/5000][520/535][25458] Loss_D: -0.033511 Loss_G: -0.005658 Loss_D_real: 0.001148 Loss_D_fake 0.034659
[249/5000][525/535][25459] Loss_D: -0.033434 Loss_G: 0.026878 Loss_D_real: -0.032914 Loss_D_fake 0.000520
[249/5000][530/535][25460] Loss_D: -0.034473 Loss_G: 0.026474 Loss_D_real: -0.033701 Loss_D_fake 0.000771
[249/5000][535/535][25461] Loss_D: -0.032519 Loss_G: 0.024714 Loss_D_real: -0.029203 Loss_D_fake 0.003316
[250/5000][5/535][25462] Loss_D: -0.034329 Loss_G: 0.002541 Loss_D_real: -0.008757 Loss_D_fake 0.025572
[250/5000][10/535][25463] Loss_D: -0.032040 Loss_G: 0.036843 Loss_D_real: -0.034932 Loss_D_fake -0.002892
[250/5000][15/535][25464] Loss_D: -0.033639 Loss_G: 0.010687 Loss_D_real: -0.020380 Loss_D_fake 0.013259
[250/5000][20/535][25465] Loss_D: -0.035205 Loss_G: 0.031560 Loss_D_real: -0.023947 Loss_D_fake 0.011257
[250/5000][25/535][25466] Loss_D: -0.035453 Loss_G: -0.001394 Loss_D_real: -0.011911 Loss_D_fake 0.023542
[250/5000][30/535][25467] Loss_D: -0.034304 Loss_G: 0.033954 Loss_D_real: -0.035706 Loss_D_fake -0.001402
[250/5000][35/535][25468] Loss_D: -0.034452 Loss_G: 0.003420 Loss_D_real: -0.010885 Loss_D_fake 0.023567
[250/5000][40/535][25469] Loss_D: -0.034652 Loss_G: 0.021841 Loss_D_real: -0.032985 Loss_D_fake 0.001667
[250/5000][45/535][25470] Loss_D: -0.035699 Loss_G: 0.024287 Loss_D_real: -0.023500 Loss_D_fake 0.012199
[250/5000][50/535][25471] Loss_D: -0.033784 Loss_G: 0.031900 Loss_D_real: -0.024866 Loss_D_fake 0.008918
[250/5000][55/535][25472] Loss_D: -0.032686 Loss_G: 0.016187 Loss_D_real: -0.014863 Loss_D_fake 0.017823
[250/5000][60/535][25473] Loss_D: -0.034304 Loss_G: 0.025772 Loss_D_real: -0.027126 Loss_D_fake 0.007178
[250/5000][65/535][25474] Loss_D: -0.033436 Loss_G: 0.025596 Loss_D_real: -0.025840 Loss_D_fake 0.007596
[250/5000][70/535][25475] Loss_D: -0.034480 Loss_G: 0.026426 Loss_D_real: -0.036276 Loss_D_fake -0.001795
[250/5000][75/535][25476] Loss_D: -0.034211 Loss_G: 0.034004 Loss_D_real: -0.030893 Loss_D_fake 0.003318
[250/5000][80/535][25477] Loss_D: -0.035130 Loss_G: 0.022165 Loss_D_real: -0.029989 Loss_D_fake 0.005141
[250/5000][85/535][25478] Loss_D: -0.034104 Loss_G: 0.002957 Loss_D_real: -0.009978 Loss_D_fake 0.024126
[250/5000][90/535][25479] Loss_D: -0.033741 Loss_G: 0.030249 Loss_D_real: -0.032203 Loss_D_fake 0.001538
[250/5000][95/535][25480] Loss_D: -0.036019 Loss_G: 0.001427 Loss_D_real: -0.008805 Loss_D_fake 0.027214
[250/5000][100/535][25481] Loss_D: -0.033347 Loss_G: 0.002529 Loss_D_real: -0.021683 Loss_D_fake 0.011664
[250/5000][105/535][25482] Loss_D: -0.035544 Loss_G: 0.037783 Loss_D_real: -0.033332 Loss_D_fake 0.002211
[250/5000][110/535][25483] Loss_D: -0.036909 Loss_G: 0.014451 Loss_D_real: -0.021489 Loss_D_fake 0.015420
[250/5000][115/535][25484] Loss_D: -0.033855 Loss_G: -0.002997 Loss_D_real: -0.010889 Loss_D_fake 0.022966
[250/5000][120/535][25485] Loss_D: -0.031905 Loss_G: 0.039686 Loss_D_real: -0.037969 Loss_D_fake -0.006064
[250/5000][125/535][25486] Loss_D: -0.032816 Loss_G: 0.000661 Loss_D_real: -0.011022 Loss_D_fake 0.021794
[250/5000][130/535][25487] Loss_D: -0.032886 Loss_G: 0.036434 Loss_D_real: -0.037510 Loss_D_fake -0.004624
[250/5000][135/535][25488] Loss_D: -0.035382 Loss_G: 0.005791 Loss_D_real: -0.020113 Loss_D_fake 0.015270
[250/5000][140/535][25489] Loss_D: -0.035060 Loss_G: 0.025511 Loss_D_real: -0.020779 Loss_D_fake 0.014281
[250/5000][145/535][25490] Loss_D: -0.033420 Loss_G: 0.014342 Loss_D_real: -0.019173 Loss_D_fake 0.014247
[250/5000][150/535][25491] Loss_D: -0.033774 Loss_G: 0.021480 Loss_D_real: -0.028702 Loss_D_fake 0.005072
[250/5000][155/535][25492] Loss_D: -0.035175 Loss_G: -0.002750 Loss_D_real: -0.010932 Loss_D_fake 0.024243
[250/5000][160/535][25493] Loss_D: -0.034021 Loss_G: 0.026952 Loss_D_real: -0.025396 Loss_D_fake 0.008625
[250/5000][165/535][25494] Loss_D: -0.033601 Loss_G: -0.007452 Loss_D_real: 0.002796 Loss_D_fake 0.036397
[250/5000][170/535][25495] Loss_D: -0.033934 Loss_G: 0.021686 Loss_D_real: -0.034820 Loss_D_fake -0.000886
[250/5000][175/535][25496] Loss_D: -0.036707 Loss_G: 0.011770 Loss_D_real: -0.016671 Loss_D_fake 0.020036
[250/5000][180/535][25497] Loss_D: -0.035555 Loss_G: -0.000133 Loss_D_real: -0.012659 Loss_D_fake 0.022896
[250/5000][185/535][25498] Loss_D: -0.032897 Loss_G: 0.036477 Loss_D_real: -0.041944 Loss_D_fake -0.009048
[250/5000][190/535][25499] Loss_D: -0.033117 Loss_G: 0.007055 Loss_D_real: -0.010820 Loss_D_fake 0.022296
[250/5000][195/535][25500] Loss_D: -0.032753 Loss_G: 0.041529 Loss_D_real: -0.045024 Loss_D_fake -0.012270
[250/5000][295/535][25501] Loss_D: -0.035158 Loss_G: 0.017509 Loss_D_real: -0.025850 Loss_D_fake 0.009307
[250/5000][300/535][25502] Loss_D: -0.035480 Loss_G: 0.006888 Loss_D_real: -0.009899 Loss_D_fake 0.025581
[250/5000][305/535][25503] Loss_D: -0.032607 Loss_G: 0.014368 Loss_D_real: -0.025410 Loss_D_fake 0.007197
[250/5000][310/535][25504] Loss_D: -0.032614 Loss_G: 0.016819 Loss_D_real: -0.021054 Loss_D_fake 0.011560
[250/5000][315/535][25505] Loss_D: -0.031391 Loss_G: 0.013126 Loss_D_real: -0.027081 Loss_D_fake 0.004309
[250/5000][320/535][25506] Loss_D: -0.034486 Loss_G: 0.031580 Loss_D_real: -0.041259 Loss_D_fake -0.006773
[250/5000][325/535][25507] Loss_D: -0.034706 Loss_G: 0.022387 Loss_D_real: -0.025637 Loss_D_fake 0.009068
[250/5000][330/535][25508] Loss_D: -0.033147 Loss_G: 0.018165 Loss_D_real: -0.028085 Loss_D_fake 0.005062
[250/5000][335/535][25509] Loss_D: -0.034630 Loss_G: 0.014502 Loss_D_real: -0.020502 Loss_D_fake 0.014129
[250/5000][340/535][25510] Loss_D: -0.032996 Loss_G: 0.039070 Loss_D_real: -0.037273 Loss_D_fake -0.004277
[250/5000][345/535][25511] Loss_D: -0.034372 Loss_G: 0.021829 Loss_D_real: -0.023057 Loss_D_fake 0.011314
[250/5000][350/535][25512] Loss_D: -0.033510 Loss_G: 0.013101 Loss_D_real: -0.019122 Loss_D_fake 0.014388
[250/5000][355/535][25513] Loss_D: -0.035044 Loss_G: 0.012624 Loss_D_real: -0.022289 Loss_D_fake 0.012755
[250/5000][360/535][25514] Loss_D: -0.033967 Loss_G: 0.004999 Loss_D_real: -0.021784 Loss_D_fake 0.012183
[250/5000][365/535][25515] Loss_D: -0.031685 Loss_G: 0.026036 Loss_D_real: -0.039234 Loss_D_fake -0.007549
[250/5000][370/535][25516] Loss_D: -0.033698 Loss_G: 0.018373 Loss_D_real: -0.024077 Loss_D_fake 0.009621
[250/5000][375/535][25517] Loss_D: -0.035855 Loss_G: 0.005150 Loss_D_real: -0.012698 Loss_D_fake 0.023157
[250/5000][380/535][25518] Loss_D: -0.033969 Loss_G: 0.009344 Loss_D_real: -0.016374 Loss_D_fake 0.017595
[250/5000][385/535][25519] Loss_D: -0.034380 Loss_G: 0.037381 Loss_D_real: -0.030119 Loss_D_fake 0.004261
[250/5000][390/535][25520] Loss_D: -0.033566 Loss_G: 0.001415 Loss_D_real: -0.008087 Loss_D_fake 0.025479
[250/5000][395/535][25521] Loss_D: -0.034010 Loss_G: 0.020900 Loss_D_real: -0.027540 Loss_D_fake 0.006470
[250/5000][400/535][25522] Loss_D: -0.034074 Loss_G: 0.007911 Loss_D_real: -0.016394 Loss_D_fake 0.017681
[250/5000][405/535][25523] Loss_D: -0.034105 Loss_G: 0.025488 Loss_D_real: -0.039646 Loss_D_fake -0.005541
[250/5000][410/535][25524] Loss_D: -0.035810 Loss_G: 0.028980 Loss_D_real: -0.029743 Loss_D_fake 0.006067
[250/5000][415/535][25525] Loss_D: -0.035140 Loss_G: 0.019372 Loss_D_real: -0.021822 Loss_D_fake 0.013319
[250/5000][420/535][25526] Loss_D: -0.035247 Loss_G: 0.017330 Loss_D_real: -0.024729 Loss_D_fake 0.010518
[250/5000][425/535][25527] Loss_D: -0.033502 Loss_G: -0.003697 Loss_D_real: -0.011134 Loss_D_fake 0.022368
[250/5000][430/535][25528] Loss_D: -0.031547 Loss_G: 0.041048 Loss_D_real: -0.044175 Loss_D_fake -0.012629
[250/5000][435/535][25529] Loss_D: -0.032944 Loss_G: -0.007972 Loss_D_real: 0.003294 Loss_D_fake 0.036238
[250/5000][440/535][25530] Loss_D: -0.035098 Loss_G: 0.011776 Loss_D_real: -0.020040 Loss_D_fake 0.015058
[250/5000][445/535][25531] Loss_D: -0.033957 Loss_G: 0.029290 Loss_D_real: -0.025634 Loss_D_fake 0.008323
[250/5000][450/535][25532] Loss_D: -0.034097 Loss_G: 0.023096 Loss_D_real: -0.022928 Loss_D_fake 0.011169
[250/5000][455/535][25533] Loss_D: -0.034287 Loss_G: 0.019403 Loss_D_real: -0.021357 Loss_D_fake 0.012930
[250/5000][460/535][25534] Loss_D: -0.034554 Loss_G: 0.018685 Loss_D_real: -0.022618 Loss_D_fake 0.011936
[250/5000][465/535][25535] Loss_D: -0.034697 Loss_G: 0.022154 Loss_D_real: -0.029619 Loss_D_fake 0.005078
[250/5000][470/535][25536] Loss_D: -0.032910 Loss_G: 0.030262 Loss_D_real: -0.034962 Loss_D_fake -0.002052
[250/5000][475/535][25537] Loss_D: -0.032265 Loss_G: 0.037049 Loss_D_real: -0.045933 Loss_D_fake -0.013668
[250/5000][480/535][25538] Loss_D: -0.034142 Loss_G: 0.007171 Loss_D_real: -0.010210 Loss_D_fake 0.023932
[250/5000][485/535][25539] Loss_D: -0.033830 Loss_G: 0.031850 Loss_D_real: -0.032259 Loss_D_fake 0.001571
[250/5000][490/535][25540] Loss_D: -0.033527 Loss_G: -0.005597 Loss_D_real: -0.008922 Loss_D_fake 0.024605
[250/5000][495/535][25541] Loss_D: -0.033226 Loss_G: 0.001725 Loss_D_real: -0.022050 Loss_D_fake 0.011177
[250/5000][500/535][25542] Loss_D: -0.033098 Loss_G: 0.032095 Loss_D_real: -0.027101 Loss_D_fake 0.005997
[250/5000][505/535][25543] Loss_D: -0.033584 Loss_G: 0.013112 Loss_D_real: -0.023661 Loss_D_fake 0.009922
[250/5000][510/535][25544] Loss_D: -0.035044 Loss_G: 0.008186 Loss_D_real: -0.021183 Loss_D_fake 0.013861
[250/5000][515/535][25545] Loss_D: -0.034872 Loss_G: 0.011437 Loss_D_real: -0.017175 Loss_D_fake 0.017697
[250/5000][520/535][25546] Loss_D: -0.032898 Loss_G: 0.031032 Loss_D_real: -0.032052 Loss_D_fake 0.000845
[250/5000][525/535][25547] Loss_D: -0.035925 Loss_G: 0.012424 Loss_D_real: -0.022410 Loss_D_fake 0.013515
[250/5000][530/535][25548] Loss_D: -0.033082 Loss_G: 0.032113 Loss_D_real: -0.036341 Loss_D_fake -0.003259
[250/5000][535/535][25549] Loss_D: -0.031844 Loss_G: -0.003720 Loss_D_real: -0.001214 Loss_D_fake 0.030630
[251/5000][5/535][25550] Loss_D: -0.032427 Loss_G: 0.033555 Loss_D_real: -0.029437 Loss_D_fake 0.002989
[251/5000][10/535][25551] Loss_D: -0.031348 Loss_G: -0.022033 Loss_D_real: 0.003393 Loss_D_fake 0.034741
[251/5000][15/535][25552] Loss_D: -0.033309 Loss_G: 0.027660 Loss_D_real: -0.025615 Loss_D_fake 0.007694
[251/5000][20/535][25553] Loss_D: -0.032688 Loss_G: 0.024621 Loss_D_real: -0.020227 Loss_D_fake 0.012461
[251/5000][25/535][25554] Loss_D: -0.035485 Loss_G: 0.041980 Loss_D_real: -0.036330 Loss_D_fake -0.000846
[251/5000][30/535][25555] Loss_D: -0.033651 Loss_G: 0.002613 Loss_D_real: -0.014888 Loss_D_fake 0.018763
[251/5000][35/535][25556] Loss_D: -0.033124 Loss_G: 0.036679 Loss_D_real: -0.043261 Loss_D_fake -0.010137
[251/5000][40/535][25557] Loss_D: -0.034412 Loss_G: -0.000214 Loss_D_real: -0.015629 Loss_D_fake 0.018782
[251/5000][45/535][25558] Loss_D: -0.033012 Loss_G: 0.028601 Loss_D_real: -0.031195 Loss_D_fake 0.001816
[251/5000][50/535][25559] Loss_D: -0.034005 Loss_G: 0.015751 Loss_D_real: -0.028347 Loss_D_fake 0.005659
[251/5000][55/535][25560] Loss_D: -0.034250 Loss_G: -0.002458 Loss_D_real: -0.012313 Loss_D_fake 0.021937
[251/5000][60/535][25561] Loss_D: -0.033736 Loss_G: 0.014321 Loss_D_real: -0.022846 Loss_D_fake 0.010890
[251/5000][65/535][25562] Loss_D: -0.033982 Loss_G: -0.008118 Loss_D_real: -0.003363 Loss_D_fake 0.030619
[251/5000][70/535][25563] Loss_D: -0.035629 Loss_G: 0.007694 Loss_D_real: -0.015077 Loss_D_fake 0.020551
[251/5000][75/535][25564] Loss_D: -0.034046 Loss_G: 0.033618 Loss_D_real: -0.036346 Loss_D_fake -0.002300
[251/5000][80/535][25565] Loss_D: -0.034220 Loss_G: 0.024591 Loss_D_real: -0.022421 Loss_D_fake 0.011799
[251/5000][85/535][25566] Loss_D: -0.033129 Loss_G: 0.033094 Loss_D_real: -0.036836 Loss_D_fake -0.003707
[251/5000][90/535][25567] Loss_D: -0.035156 Loss_G: 0.016133 Loss_D_real: -0.016963 Loss_D_fake 0.018193
[251/5000][95/535][25568] Loss_D: -0.033331 Loss_G: -0.002952 Loss_D_real: -0.013643 Loss_D_fake 0.019688
[251/5000][100/535][25569] Loss_D: -0.034010 Loss_G: 0.025157 Loss_D_real: -0.025203 Loss_D_fake 0.008807
[251/5000][105/535][25570] Loss_D: -0.034081 Loss_G: 0.009623 Loss_D_real: -0.016727 Loss_D_fake 0.017355
[251/5000][110/535][25571] Loss_D: -0.035208 Loss_G: 0.021049 Loss_D_real: -0.030346 Loss_D_fake 0.004862
[251/5000][115/535][25572] Loss_D: -0.034629 Loss_G: -0.016528 Loss_D_real: 0.001430 Loss_D_fake 0.036059
[251/5000][120/535][25573] Loss_D: -0.033481 Loss_G: 0.032858 Loss_D_real: -0.033588 Loss_D_fake -0.000107
[251/5000][125/535][25574] Loss_D: -0.031383 Loss_G: 0.029293 Loss_D_real: -0.032134 Loss_D_fake -0.000752
[251/5000][130/535][25575] Loss_D: -0.032278 Loss_G: 0.030296 Loss_D_real: -0.030176 Loss_D_fake 0.002101
[251/5000][135/535][25576] Loss_D: -0.033986 Loss_G: 0.030216 Loss_D_real: -0.033104 Loss_D_fake 0.000882
[251/5000][140/535][25577] Loss_D: -0.032149 Loss_G: -0.000564 Loss_D_real: -0.008277 Loss_D_fake 0.023872
[251/5000][145/535][25578] Loss_D: -0.033083 Loss_G: 0.025916 Loss_D_real: -0.035765 Loss_D_fake -0.002682
[251/5000][150/535][25579] Loss_D: -0.034282 Loss_G: 0.005294 Loss_D_real: -0.019621 Loss_D_fake 0.014660
[251/5000][155/535][25580] Loss_D: -0.034071 Loss_G: 0.024869 Loss_D_real: -0.030148 Loss_D_fake 0.003924
[251/5000][160/535][25581] Loss_D: -0.034663 Loss_G: -0.001229 Loss_D_real: -0.005533 Loss_D_fake 0.029131
[251/5000][165/535][25582] Loss_D: -0.034515 Loss_G: 0.014777 Loss_D_real: -0.019032 Loss_D_fake 0.015483
[251/5000][170/535][25583] Loss_D: -0.034673 Loss_G: 0.025223 Loss_D_real: -0.030126 Loss_D_fake 0.004547
[251/5000][175/535][25584] Loss_D: -0.034095 Loss_G: 0.009059 Loss_D_real: -0.022170 Loss_D_fake 0.011926
[251/5000][180/535][25585] Loss_D: -0.035510 Loss_G: 0.021294 Loss_D_real: -0.026584 Loss_D_fake 0.008927
[251/5000][185/535][25586] Loss_D: -0.035068 Loss_G: 0.007361 Loss_D_real: -0.008232 Loss_D_fake 0.026836
[251/5000][190/535][25587] Loss_D: -0.034493 Loss_G: -0.006413 Loss_D_real: -0.005190 Loss_D_fake 0.029303
[251/5000][195/535][25588] Loss_D: -0.034912 Loss_G: 0.037356 Loss_D_real: -0.031211 Loss_D_fake 0.003701
[251/5000][200/535][25589] Loss_D: -0.032883 Loss_G: 0.005922 Loss_D_real: -0.005002 Loss_D_fake 0.027881
[251/5000][205/535][25590] Loss_D: -0.033219 Loss_G: 0.022325 Loss_D_real: -0.033334 Loss_D_fake -0.000115
[251/5000][210/535][25591] Loss_D: -0.034117 Loss_G: 0.004361 Loss_D_real: -0.017227 Loss_D_fake 0.016890
[251/5000][215/535][25592] Loss_D: -0.032987 Loss_G: 0.036502 Loss_D_real: -0.030753 Loss_D_fake 0.002234
[251/5000][220/535][25593] Loss_D: -0.034976 Loss_G: 0.019444 Loss_D_real: -0.028730 Loss_D_fake 0.006247
[251/5000][225/535][25594] Loss_D: -0.034465 Loss_G: 0.015458 Loss_D_real: -0.022429 Loss_D_fake 0.012036
[251/5000][230/535][25595] Loss_D: -0.033389 Loss_G: 0.013142 Loss_D_real: -0.014875 Loss_D_fake 0.018514
[251/5000][235/535][25596] Loss_D: -0.035167 Loss_G: 0.000209 Loss_D_real: -0.008484 Loss_D_fake 0.026683
[251/5000][240/535][25597] Loss_D: -0.033054 Loss_G: 0.029918 Loss_D_real: -0.028431 Loss_D_fake 0.004623
[251/5000][245/535][25598] Loss_D: -0.034482 Loss_G: 0.024200 Loss_D_real: -0.026072 Loss_D_fake 0.008410
[251/5000][250/535][25599] Loss_D: -0.035366 Loss_G: 0.003826 Loss_D_real: -0.011494 Loss_D_fake 0.023872
[251/5000][255/535][25600] Loss_D: -0.033035 Loss_G: 0.043832 Loss_D_real: -0.044784 Loss_D_fake -0.011749
[251/5000][260/535][25601] Loss_D: -0.034023 Loss_G: 0.004614 Loss_D_real: -0.019497 Loss_D_fake 0.014527
[251/5000][265/535][25602] Loss_D: -0.035258 Loss_G: 0.026371 Loss_D_real: -0.027322 Loss_D_fake 0.007936
[251/5000][270/535][25603] Loss_D: -0.032759 Loss_G: 0.043679 Loss_D_real: -0.050389 Loss_D_fake -0.017631
[251/5000][275/535][25604] Loss_D: -0.033368 Loss_G: -0.016204 Loss_D_real: -0.003496 Loss_D_fake 0.029873
[251/5000][280/535][25605] Loss_D: -0.034520 Loss_G: 0.018292 Loss_D_real: -0.018801 Loss_D_fake 0.015719
[251/5000][285/535][25606] Loss_D: -0.033804 Loss_G: 0.001036 Loss_D_real: -0.011694 Loss_D_fake 0.022110
[251/5000][290/535][25607] Loss_D: -0.034504 Loss_G: 0.029381 Loss_D_real: -0.038207 Loss_D_fake -0.003703
[251/5000][295/535][25608] Loss_D: -0.035385 Loss_G: 0.025705 Loss_D_real: -0.025194 Loss_D_fake 0.010191
[251/5000][300/535][25609] Loss_D: -0.035893 Loss_G: 0.020597 Loss_D_real: -0.023631 Loss_D_fake 0.012262
[251/5000][305/535][25610] Loss_D: -0.033700 Loss_G: 0.019196 Loss_D_real: -0.013237 Loss_D_fake 0.020463
[251/5000][310/535][25611] Loss_D: -0.033927 Loss_G: -0.006226 Loss_D_real: 0.000426 Loss_D_fake 0.034354
[251/5000][315/535][25612] Loss_D: -0.033388 Loss_G: 0.033253 Loss_D_real: -0.033291 Loss_D_fake 0.000097
[251/5000][320/535][25613] Loss_D: -0.032423 Loss_G: -0.011421 Loss_D_real: 0.004486 Loss_D_fake 0.036910
[251/5000][325/535][25614] Loss_D: -0.032231 Loss_G: 0.026987 Loss_D_real: -0.028769 Loss_D_fake 0.003463
[251/5000][330/535][25615] Loss_D: -0.034646 Loss_G: 0.004532 Loss_D_real: -0.023714 Loss_D_fake 0.010932
[251/5000][335/535][25616] Loss_D: -0.035930 Loss_G: 0.016171 Loss_D_real: -0.022172 Loss_D_fake 0.013759
[251/5000][340/535][25617] Loss_D: -0.032062 Loss_G: 0.021958 Loss_D_real: -0.029335 Loss_D_fake 0.002726
[251/5000][345/535][25618] Loss_D: -0.033481 Loss_G: -0.000478 Loss_D_real: -0.009287 Loss_D_fake 0.024194
[251/5000][350/535][25619] Loss_D: -0.032190 Loss_G: 0.040131 Loss_D_real: -0.039022 Loss_D_fake -0.006832
[251/5000][355/535][25620] Loss_D: -0.034598 Loss_G: 0.008440 Loss_D_real: -0.016850 Loss_D_fake 0.017748
[251/5000][360/535][25621] Loss_D: -0.035154 Loss_G: 0.017759 Loss_D_real: -0.026217 Loss_D_fake 0.008936
[251/5000][365/535][25622] Loss_D: -0.034268 Loss_G: 0.025326 Loss_D_real: -0.031791 Loss_D_fake 0.002477
[251/5000][370/535][25623] Loss_D: -0.034580 Loss_G: 0.030300 Loss_D_real: -0.034984 Loss_D_fake -0.000404
[251/5000][375/535][25624] Loss_D: -0.034973 Loss_G: 0.005017 Loss_D_real: -0.015625 Loss_D_fake 0.019349
[251/5000][380/535][25625] Loss_D: -0.033769 Loss_G: 0.030742 Loss_D_real: -0.024339 Loss_D_fake 0.009430
[251/5000][385/535][25626] Loss_D: -0.035192 Loss_G: 0.000252 Loss_D_real: -0.018045 Loss_D_fake 0.017147
[251/5000][390/535][25627] Loss_D: -0.033873 Loss_G: 0.014637 Loss_D_real: -0.026136 Loss_D_fake 0.007736
[251/5000][395/535][25628] Loss_D: -0.032887 Loss_G: 0.038155 Loss_D_real: -0.041465 Loss_D_fake -0.008578
[251/5000][400/535][25629] Loss_D: -0.033563 Loss_G: -0.006750 Loss_D_real: -0.008893 Loss_D_fake 0.024670
[251/5000][405/535][25630] Loss_D: -0.033743 Loss_G: 0.024472 Loss_D_real: -0.031126 Loss_D_fake 0.002618
[251/5000][410/535][25631] Loss_D: -0.034582 Loss_G: 0.010991 Loss_D_real: -0.023120 Loss_D_fake 0.011461
[251/5000][415/535][25632] Loss_D: -0.033874 Loss_G: 0.033531 Loss_D_real: -0.040723 Loss_D_fake -0.006849
[251/5000][420/535][25633] Loss_D: -0.034409 Loss_G: 0.008505 Loss_D_real: -0.012911 Loss_D_fake 0.021498
[251/5000][425/535][25634] Loss_D: -0.033771 Loss_G: 0.010124 Loss_D_real: -0.022520 Loss_D_fake 0.011251
[251/5000][430/535][25635] Loss_D: -0.034906 Loss_G: 0.018263 Loss_D_real: -0.019857 Loss_D_fake 0.015049
[251/5000][435/535][25636] Loss_D: -0.032438 Loss_G: 0.024574 Loss_D_real: -0.026509 Loss_D_fake 0.005929
[251/5000][440/535][25637] Loss_D: -0.035301 Loss_G: 0.025684 Loss_D_real: -0.029824 Loss_D_fake 0.005478
[251/5000][445/535][25638] Loss_D: -0.033523 Loss_G: 0.024528 Loss_D_real: -0.031201 Loss_D_fake 0.002322
[251/5000][450/535][25639] Loss_D: -0.035123 Loss_G: 0.006403 Loss_D_real: -0.017780 Loss_D_fake 0.017343
[251/5000][455/535][25640] Loss_D: -0.032910 Loss_G: 0.038723 Loss_D_real: -0.035627 Loss_D_fake -0.002717
[251/5000][460/535][25641] Loss_D: -0.033960 Loss_G: 0.005787 Loss_D_real: -0.010129 Loss_D_fake 0.023830
[251/5000][465/535][25642] Loss_D: -0.033936 Loss_G: -0.004207 Loss_D_real: -0.016108 Loss_D_fake 0.017828
[251/5000][470/535][25643] Loss_D: -0.034049 Loss_G: 0.031480 Loss_D_real: -0.041472 Loss_D_fake -0.007423
[251/5000][475/535][25644] Loss_D: -0.033342 Loss_G: 0.026403 Loss_D_real: -0.026808 Loss_D_fake 0.006534
[251/5000][480/535][25645] Loss_D: -0.034348 Loss_G: 0.036108 Loss_D_real: -0.033271 Loss_D_fake 0.001077
[251/5000][485/535][25646] Loss_D: -0.033943 Loss_G: 0.013963 Loss_D_real: -0.023489 Loss_D_fake 0.010454
[251/5000][490/535][25647] Loss_D: -0.034624 Loss_G: 0.034013 Loss_D_real: -0.028595 Loss_D_fake 0.006029
[251/5000][495/535][25648] Loss_D: -0.034003 Loss_G: 0.018704 Loss_D_real: -0.021893 Loss_D_fake 0.012110
[251/5000][500/535][25649] Loss_D: -0.033736 Loss_G: 0.006101 Loss_D_real: -0.017582 Loss_D_fake 0.016154
[251/5000][505/535][25650] Loss_D: -0.032629 Loss_G: 0.041808 Loss_D_real: -0.039622 Loss_D_fake -0.006993
[251/5000][510/535][25651] Loss_D: -0.035427 Loss_G: 0.009526 Loss_D_real: -0.021296 Loss_D_fake 0.014131
[251/5000][515/535][25652] Loss_D: -0.032614 Loss_G: 0.046425 Loss_D_real: -0.040561 Loss_D_fake -0.007947
[251/5000][520/535][25653] Loss_D: -0.034352 Loss_G: -0.007736 Loss_D_real: -0.006578 Loss_D_fake 0.027774
[251/5000][525/535][25654] Loss_D: -0.032899 Loss_G: 0.008388 Loss_D_real: -0.016228 Loss_D_fake 0.016671
[251/5000][530/535][25655] Loss_D: -0.032472 Loss_G: 0.035201 Loss_D_real: -0.031305 Loss_D_fake 0.001167
[251/5000][535/535][25656] Loss_D: -0.034665 Loss_G: 0.005388 Loss_D_real: -0.009969 Loss_D_fake 0.024696
[252/5000][5/535][25657] Loss_D: -0.034353 Loss_G: 0.023956 Loss_D_real: -0.029270 Loss_D_fake 0.005083
[252/5000][10/535][25658] Loss_D: -0.033285 Loss_G: 0.005214 Loss_D_real: -0.012867 Loss_D_fake 0.020418
[252/5000][15/535][25659] Loss_D: -0.034964 Loss_G: 0.023942 Loss_D_real: -0.026704 Loss_D_fake 0.008260
[252/5000][20/535][25660] Loss_D: -0.032585 Loss_G: -0.008416 Loss_D_real: -0.004891 Loss_D_fake 0.027695
[252/5000][25/535][25661] Loss_D: -0.033635 Loss_G: 0.018794 Loss_D_real: -0.022510 Loss_D_fake 0.011125
[252/5000][30/535][25662] Loss_D: -0.034491 Loss_G: 0.015078 Loss_D_real: -0.020238 Loss_D_fake 0.014253
[252/5000][35/535][25663] Loss_D: -0.035292 Loss_G: 0.017604 Loss_D_real: -0.030891 Loss_D_fake 0.004402
[252/5000][40/535][25664] Loss_D: -0.035170 Loss_G: 0.002900 Loss_D_real: -0.009735 Loss_D_fake 0.025435
[252/5000][45/535][25665] Loss_D: -0.035156 Loss_G: 0.017165 Loss_D_real: -0.022257 Loss_D_fake 0.012898
[252/5000][50/535][25666] Loss_D: -0.034176 Loss_G: 0.027925 Loss_D_real: -0.026035 Loss_D_fake 0.008141
[252/5000][55/535][25667] Loss_D: -0.033977 Loss_G: 0.014988 Loss_D_real: -0.022633 Loss_D_fake 0.011344
[252/5000][60/535][25668] Loss_D: -0.033412 Loss_G: 0.018653 Loss_D_real: -0.025426 Loss_D_fake 0.007987
[252/5000][65/535][25669] Loss_D: -0.034501 Loss_G: 0.033818 Loss_D_real: -0.031158 Loss_D_fake 0.003343
[252/5000][70/535][25670] Loss_D: -0.032879 Loss_G: 0.035389 Loss_D_real: -0.039907 Loss_D_fake -0.007028
[252/5000][75/535][25671] Loss_D: -0.034436 Loss_G: 0.029669 Loss_D_real: -0.029545 Loss_D_fake 0.004891
[252/5000][80/535][25672] Loss_D: -0.032776 Loss_G: -0.011285 Loss_D_real: 0.003730 Loss_D_fake 0.036506
[252/5000][85/535][25673] Loss_D: -0.030952 Loss_G: 0.030332 Loss_D_real: -0.033272 Loss_D_fake -0.002320
[252/5000][90/535][25674] Loss_D: -0.034798 Loss_G: 0.013774 Loss_D_real: -0.018340 Loss_D_fake 0.016458
[252/5000][95/535][25675] Loss_D: -0.035186 Loss_G: 0.013624 Loss_D_real: -0.026397 Loss_D_fake 0.008790
[252/5000][100/535][25676] Loss_D: -0.035133 Loss_G: 0.029533 Loss_D_real: -0.028050 Loss_D_fake 0.007083
[252/5000][105/535][25677] Loss_D: -0.032027 Loss_G: -0.017447 Loss_D_real: -0.000968 Loss_D_fake 0.031059
[252/5000][110/535][25678] Loss_D: -0.034307 Loss_G: 0.025330 Loss_D_real: -0.029628 Loss_D_fake 0.004679
[252/5000][115/535][25679] Loss_D: -0.033344 Loss_G: 0.015814 Loss_D_real: -0.025918 Loss_D_fake 0.007426
[252/5000][120/535][25680] Loss_D: -0.032976 Loss_G: 0.017871 Loss_D_real: -0.027405 Loss_D_fake 0.005571
[252/5000][125/535][25681] Loss_D: -0.030679 Loss_G: 0.034282 Loss_D_real: -0.038634 Loss_D_fake -0.007955
[252/5000][130/535][25682] Loss_D: -0.034532 Loss_G: 0.002748 Loss_D_real: -0.008658 Loss_D_fake 0.025874
[252/5000][135/535][25683] Loss_D: -0.033246 Loss_G: 0.030244 Loss_D_real: -0.033033 Loss_D_fake 0.000213
[252/5000][140/535][25684] Loss_D: -0.034519 Loss_G: 0.017012 Loss_D_real: -0.020283 Loss_D_fake 0.014236
[252/5000][145/535][25685] Loss_D: -0.032428 Loss_G: 0.041184 Loss_D_real: -0.035956 Loss_D_fake -0.003528
[252/5000][150/535][25686] Loss_D: -0.034372 Loss_G: 0.013705 Loss_D_real: -0.023598 Loss_D_fake 0.010773
[252/5000][155/535][25687] Loss_D: -0.033141 Loss_G: 0.027786 Loss_D_real: -0.036923 Loss_D_fake -0.003783
[252/5000][160/535][25688] Loss_D: -0.032767 Loss_G: 0.004389 Loss_D_real: -0.008308 Loss_D_fake 0.024459
[252/5000][165/535][25689] Loss_D: -0.033443 Loss_G: 0.028926 Loss_D_real: -0.031980 Loss_D_fake 0.001462
[252/5000][170/535][25690] Loss_D: -0.032520 Loss_G: -0.016190 Loss_D_real: 0.003800 Loss_D_fake 0.036320
[252/5000][175/535][25691] Loss_D: -0.033194 Loss_G: 0.017434 Loss_D_real: -0.025660 Loss_D_fake 0.007534
[252/5000][180/535][25692] Loss_D: -0.034297 Loss_G: 0.011139 Loss_D_real: -0.018288 Loss_D_fake 0.016009
[252/5000][185/535][25693] Loss_D: -0.035375 Loss_G: 0.000755 Loss_D_real: -0.011575 Loss_D_fake 0.023800
[252/5000][190/535][25694] Loss_D: -0.035293 Loss_G: 0.018039 Loss_D_real: -0.027043 Loss_D_fake 0.008250
[252/5000][195/535][25695] Loss_D: -0.032766 Loss_G: 0.019277 Loss_D_real: -0.015049 Loss_D_fake 0.017717
[252/5000][200/535][25696] Loss_D: -0.033967 Loss_G: 0.013753 Loss_D_real: -0.020671 Loss_D_fake 0.013296
[252/5000][205/535][25697] Loss_D: -0.033946 Loss_G: 0.034323 Loss_D_real: -0.034633 Loss_D_fake -0.000687
[252/5000][210/535][25698] Loss_D: -0.034181 Loss_G: -0.002906 Loss_D_real: -0.011294 Loss_D_fake 0.022886
[252/5000][215/535][25699] Loss_D: -0.035017 Loss_G: 0.019669 Loss_D_real: -0.033789 Loss_D_fake 0.001228
[252/5000][220/535][25700] Loss_D: -0.033484 Loss_G: 0.023505 Loss_D_real: -0.042201 Loss_D_fake -0.008717
[252/5000][225/535][25701] Loss_D: -0.035060 Loss_G: 0.028914 Loss_D_real: -0.026684 Loss_D_fake 0.008376
[252/5000][230/535][25702] Loss_D: -0.034278 Loss_G: 0.026412 Loss_D_real: -0.028667 Loss_D_fake 0.005611
[252/5000][235/535][25703] Loss_D: -0.035151 Loss_G: 0.031514 Loss_D_real: -0.031757 Loss_D_fake 0.003394
[252/5000][240/535][25704] Loss_D: -0.033189 Loss_G: -0.008514 Loss_D_real: -0.001958 Loss_D_fake 0.031231
[252/5000][245/535][25705] Loss_D: -0.034564 Loss_G: 0.019045 Loss_D_real: -0.029338 Loss_D_fake 0.005226
[252/5000][250/535][25706] Loss_D: -0.033366 Loss_G: 0.032252 Loss_D_real: -0.038307 Loss_D_fake -0.004941
[252/5000][255/535][25707] Loss_D: -0.035148 Loss_G: 0.012962 Loss_D_real: -0.016773 Loss_D_fake 0.018375
[252/5000][260/535][25708] Loss_D: -0.032969 Loss_G: 0.011526 Loss_D_real: -0.022903 Loss_D_fake 0.010066
[252/5000][265/535][25709] Loss_D: -0.034371 Loss_G: 0.029986 Loss_D_real: -0.028554 Loss_D_fake 0.005817
[252/5000][270/535][25710] Loss_D: -0.033383 Loss_G: -0.010642 Loss_D_real: -0.002248 Loss_D_fake 0.031135
[252/5000][275/535][25711] Loss_D: -0.033158 Loss_G: 0.035270 Loss_D_real: -0.035324 Loss_D_fake -0.002166
[252/5000][280/535][25712] Loss_D: -0.035281 Loss_G: 0.007682 Loss_D_real: -0.011196 Loss_D_fake 0.024085
[252/5000][285/535][25713] Loss_D: -0.034569 Loss_G: 0.020390 Loss_D_real: -0.034585 Loss_D_fake -0.000015
[252/5000][290/535][25714] Loss_D: -0.034776 Loss_G: 0.033549 Loss_D_real: -0.030790 Loss_D_fake 0.003987
[252/5000][295/535][25715] Loss_D: -0.035761 Loss_G: 0.020154 Loss_D_real: -0.021754 Loss_D_fake 0.014007
[252/5000][300/535][25716] Loss_D: -0.034101 Loss_G: 0.031572 Loss_D_real: -0.035536 Loss_D_fake -0.001435
[252/5000][305/535][25717] Loss_D: -0.035035 Loss_G: -0.004799 Loss_D_real: -0.004112 Loss_D_fake 0.030924
[252/5000][310/535][25718] Loss_D: -0.032822 Loss_G: 0.014022 Loss_D_real: -0.017986 Loss_D_fake 0.014836
[252/5000][315/535][25719] Loss_D: -0.034297 Loss_G: 0.034718 Loss_D_real: -0.032546 Loss_D_fake 0.001751
[252/5000][320/535][25720] Loss_D: -0.033534 Loss_G: -0.006997 Loss_D_real: -0.007376 Loss_D_fake 0.026157
[252/5000][325/535][25721] Loss_D: -0.033037 Loss_G: 0.011047 Loss_D_real: -0.024361 Loss_D_fake 0.008676
[252/5000][330/535][25722] Loss_D: -0.033375 Loss_G: 0.029781 Loss_D_real: -0.028813 Loss_D_fake 0.004561
[252/5000][335/535][25723] Loss_D: -0.033823 Loss_G: 0.008895 Loss_D_real: -0.014206 Loss_D_fake 0.019616
[252/5000][340/535][25724] Loss_D: -0.033386 Loss_G: 0.033188 Loss_D_real: -0.029493 Loss_D_fake 0.003893
[252/5000][345/535][25725] Loss_D: -0.034394 Loss_G: 0.000579 Loss_D_real: -0.013529 Loss_D_fake 0.020865
[252/5000][350/535][25726] Loss_D: -0.034064 Loss_G: 0.032335 Loss_D_real: -0.034668 Loss_D_fake -0.000605
[252/5000][355/535][25727] Loss_D: -0.032673 Loss_G: 0.016335 Loss_D_real: -0.025368 Loss_D_fake 0.007305
[252/5000][360/535][25728] Loss_D: -0.035086 Loss_G: 0.011616 Loss_D_real: -0.017337 Loss_D_fake 0.017750
[252/5000][365/535][25729] Loss_D: -0.034426 Loss_G: 0.034289 Loss_D_real: -0.036811 Loss_D_fake -0.002385
[252/5000][370/535][25730] Loss_D: -0.034440 Loss_G: 0.017564 Loss_D_real: -0.032889 Loss_D_fake 0.001552
[252/5000][375/535][25731] Loss_D: -0.034914 Loss_G: 0.031160 Loss_D_real: -0.033798 Loss_D_fake 0.001116
[252/5000][380/535][25732] Loss_D: -0.034867 Loss_G: 0.010906 Loss_D_real: -0.022991 Loss_D_fake 0.011876
[252/5000][385/535][25733] Loss_D: -0.032908 Loss_G: 0.040913 Loss_D_real: -0.040475 Loss_D_fake -0.007566
[252/5000][390/535][25734] Loss_D: -0.033653 Loss_G: -0.000525 Loss_D_real: -0.009450 Loss_D_fake 0.024204
[252/5000][395/535][25735] Loss_D: -0.031821 Loss_G: 0.031875 Loss_D_real: -0.028303 Loss_D_fake 0.003518
[252/5000][400/535][25736] Loss_D: -0.034054 Loss_G: 0.001187 Loss_D_real: -0.003925 Loss_D_fake 0.030129
[252/5000][405/535][25737] Loss_D: -0.032844 Loss_G: 0.015575 Loss_D_real: -0.027648 Loss_D_fake 0.005196
[252/5000][410/535][25738] Loss_D: -0.035070 Loss_G: 0.008111 Loss_D_real: -0.015310 Loss_D_fake 0.019761
[252/5000][415/535][25739] Loss_D: -0.034610 Loss_G: 0.025711 Loss_D_real: -0.031102 Loss_D_fake 0.003507
[252/5000][420/535][25740] Loss_D: -0.035769 Loss_G: 0.032176 Loss_D_real: -0.029891 Loss_D_fake 0.005877
[252/5000][425/535][25741] Loss_D: -0.034152 Loss_G: 0.000511 Loss_D_real: -0.007356 Loss_D_fake 0.026796
[252/5000][430/535][25742] Loss_D: -0.035444 Loss_G: 0.021975 Loss_D_real: -0.025316 Loss_D_fake 0.010128
[252/5000][435/535][25743] Loss_D: -0.033222 Loss_G: 0.028059 Loss_D_real: -0.029644 Loss_D_fake 0.003578
[252/5000][440/535][25744] Loss_D: -0.032703 Loss_G: 0.003088 Loss_D_real: -0.011761 Loss_D_fake 0.020942
[252/5000][445/535][25745] Loss_D: -0.034984 Loss_G: 0.008681 Loss_D_real: -0.018965 Loss_D_fake 0.016019
[252/5000][450/535][25746] Loss_D: -0.034724 Loss_G: 0.018018 Loss_D_real: -0.016620 Loss_D_fake 0.018104
[252/5000][455/535][25747] Loss_D: -0.034634 Loss_G: 0.000329 Loss_D_real: -0.010908 Loss_D_fake 0.023727
[252/5000][460/535][25748] Loss_D: -0.031607 Loss_G: 0.042756 Loss_D_real: -0.046219 Loss_D_fake -0.014612
[252/5000][465/535][25749] Loss_D: -0.033086 Loss_G: 0.025861 Loss_D_real: -0.028306 Loss_D_fake 0.004779
[252/5000][470/535][25750] Loss_D: -0.033299 Loss_G: 0.009706 Loss_D_real: -0.018781 Loss_D_fake 0.014518
[252/5000][475/535][25751] Loss_D: -0.033741 Loss_G: 0.036146 Loss_D_real: -0.035292 Loss_D_fake -0.001552
[252/5000][480/535][25752] Loss_D: -0.036127 Loss_G: 0.013992 Loss_D_real: -0.023032 Loss_D_fake 0.013095
[252/5000][485/535][25753] Loss_D: -0.034568 Loss_G: 0.011764 Loss_D_real: -0.018328 Loss_D_fake 0.016240
[252/5000][490/535][25754] Loss_D: -0.033458 Loss_G: 0.024976 Loss_D_real: -0.024021 Loss_D_fake 0.009437
[252/5000][495/535][25755] Loss_D: -0.033979 Loss_G: 0.013608 Loss_D_real: -0.016220 Loss_D_fake 0.017759
[252/5000][500/535][25756] Loss_D: -0.034203 Loss_G: 0.040033 Loss_D_real: -0.031328 Loss_D_fake 0.002875
[252/5000][505/535][25757] Loss_D: -0.033603 Loss_G: 0.001597 Loss_D_real: -0.016912 Loss_D_fake 0.016691
[252/5000][510/535][25758] Loss_D: -0.033744 Loss_G: 0.012029 Loss_D_real: -0.021084 Loss_D_fake 0.012660
[252/5000][515/535][25759] Loss_D: -0.033370 Loss_G: 0.034003 Loss_D_real: -0.030956 Loss_D_fake 0.002414
[252/5000][520/535][25760] Loss_D: -0.034372 Loss_G: -0.002210 Loss_D_real: -0.007573 Loss_D_fake 0.026799
[252/5000][525/535][25761] Loss_D: -0.032532 Loss_G: 0.019829 Loss_D_real: -0.024126 Loss_D_fake 0.008406
[252/5000][530/535][25762] Loss_D: -0.035315 Loss_G: 0.013762 Loss_D_real: -0.026806 Loss_D_fake 0.008510
[252/5000][535/535][25763] Loss_D: -0.035314 Loss_G: 0.022236 Loss_D_real: -0.038485 Loss_D_fake -0.003171
[253/5000][5/535][25764] Loss_D: -0.035023 Loss_G: 0.001296 Loss_D_real: -0.008683 Loss_D_fake 0.026341
[253/5000][10/535][25765] Loss_D: -0.031265 Loss_G: -0.022448 Loss_D_real: -0.001149 Loss_D_fake 0.030116
[253/5000][15/535][25766] Loss_D: -0.034068 Loss_G: 0.027463 Loss_D_real: -0.034945 Loss_D_fake -0.000877
[253/5000][20/535][25767] Loss_D: -0.033348 Loss_G: -0.000604 Loss_D_real: -0.006739 Loss_D_fake 0.026609
[253/5000][25/535][25768] Loss_D: -0.034855 Loss_G: 0.025247 Loss_D_real: -0.021810 Loss_D_fake 0.013045
[253/5000][30/535][25769] Loss_D: -0.034211 Loss_G: 0.010295 Loss_D_real: -0.016939 Loss_D_fake 0.017271
[253/5000][35/535][25770] Loss_D: -0.033438 Loss_G: 0.021286 Loss_D_real: -0.026892 Loss_D_fake 0.006546
[253/5000][40/535][25771] Loss_D: -0.034176 Loss_G: 0.030338 Loss_D_real: -0.035234 Loss_D_fake -0.001059
[253/5000][45/535][25772] Loss_D: -0.034494 Loss_G: 0.008224 Loss_D_real: -0.020559 Loss_D_fake 0.013935
[253/5000][50/535][25773] Loss_D: -0.033315 Loss_G: 0.040116 Loss_D_real: -0.035392 Loss_D_fake -0.002077
[253/5000][55/535][25774] Loss_D: -0.034672 Loss_G: -0.003807 Loss_D_real: -0.010254 Loss_D_fake 0.024418
[253/5000][60/535][25775] Loss_D: -0.033395 Loss_G: 0.010757 Loss_D_real: -0.023272 Loss_D_fake 0.010122
[253/5000][65/535][25776] Loss_D: -0.035027 Loss_G: 0.029478 Loss_D_real: -0.031396 Loss_D_fake 0.003631
[253/5000][70/535][25777] Loss_D: -0.036031 Loss_G: -0.003423 Loss_D_real: -0.011313 Loss_D_fake 0.024718
[253/5000][75/535][25778] Loss_D: -0.032089 Loss_G: 0.028671 Loss_D_real: -0.039448 Loss_D_fake -0.007359
[253/5000][80/535][25779] Loss_D: -0.032990 Loss_G: 0.028499 Loss_D_real: -0.035192 Loss_D_fake -0.002202
[253/5000][85/535][25780] Loss_D: -0.035753 Loss_G: 0.028943 Loss_D_real: -0.024608 Loss_D_fake 0.011145
[253/5000][90/535][25781] Loss_D: -0.033411 Loss_G: -0.001721 Loss_D_real: -0.012817 Loss_D_fake 0.020594
[253/5000][95/535][25782] Loss_D: -0.035349 Loss_G: 0.007922 Loss_D_real: -0.015208 Loss_D_fake 0.020141
[253/5000][100/535][25783] Loss_D: -0.033686 Loss_G: 0.044735 Loss_D_real: -0.039536 Loss_D_fake -0.005851
[253/5000][105/535][25784] Loss_D: -0.033643 Loss_G: -0.004093 Loss_D_real: -0.006177 Loss_D_fake 0.027466
[253/5000][110/535][25785] Loss_D: -0.032667 Loss_G: 0.027965 Loss_D_real: -0.036359 Loss_D_fake -0.003693
[253/5000][115/535][25786] Loss_D: -0.033727 Loss_G: 0.012328 Loss_D_real: -0.025354 Loss_D_fake 0.008373
[253/5000][120/535][25787] Loss_D: -0.034665 Loss_G: 0.026392 Loss_D_real: -0.029114 Loss_D_fake 0.005551
[253/5000][125/535][25788] Loss_D: -0.032968 Loss_G: 0.013676 Loss_D_real: -0.030271 Loss_D_fake 0.002698
[253/5000][130/535][25789] Loss_D: -0.035039 Loss_G: 0.014416 Loss_D_real: -0.018536 Loss_D_fake 0.016503
[253/5000][135/535][25790] Loss_D: -0.033363 Loss_G: 0.007770 Loss_D_real: -0.019183 Loss_D_fake 0.014181
[253/5000][140/535][25791] Loss_D: -0.033366 Loss_G: 0.016691 Loss_D_real: -0.018745 Loss_D_fake 0.014621
[253/5000][145/535][25792] Loss_D: -0.034964 Loss_G: 0.029858 Loss_D_real: -0.029270 Loss_D_fake 0.005695
[253/5000][150/535][25793] Loss_D: -0.034226 Loss_G: 0.010665 Loss_D_real: -0.018635 Loss_D_fake 0.015592
[253/5000][155/535][25794] Loss_D: -0.033432 Loss_G: 0.008190 Loss_D_real: -0.015779 Loss_D_fake 0.017653
[253/5000][160/535][25795] Loss_D: -0.034062 Loss_G: 0.029843 Loss_D_real: -0.025074 Loss_D_fake 0.008988
[253/5000][165/535][25796] Loss_D: -0.034891 Loss_G: 0.024279 Loss_D_real: -0.030999 Loss_D_fake 0.003893
[253/5000][170/535][25797] Loss_D: -0.035660 Loss_G: 0.016018 Loss_D_real: -0.020226 Loss_D_fake 0.015434
[253/5000][175/535][25798] Loss_D: -0.035066 Loss_G: 0.024616 Loss_D_real: -0.023424 Loss_D_fake 0.011642
[253/5000][180/535][25799] Loss_D: -0.036632 Loss_G: 0.035675 Loss_D_real: -0.025517 Loss_D_fake 0.011115
[253/5000][185/535][25800] Loss_D: -0.034021 Loss_G: -0.019368 Loss_D_real: 0.001227 Loss_D_fake 0.035248
[253/5000][190/535][25801] Loss_D: -0.034135 Loss_G: 0.028381 Loss_D_real: -0.033798 Loss_D_fake 0.000337
[253/5000][195/535][25802] Loss_D: -0.035348 Loss_G: 0.007798 Loss_D_real: -0.015466 Loss_D_fake 0.019882
[253/5000][200/535][25803] Loss_D: -0.034176 Loss_G: 0.035534 Loss_D_real: -0.031066 Loss_D_fake 0.003109
[253/5000][205/535][25804] Loss_D: -0.031185 Loss_G: -0.011570 Loss_D_real: -0.002681 Loss_D_fake 0.028504
[253/5000][210/535][25805] Loss_D: -0.032540 Loss_G: 0.037374 Loss_D_real: -0.037763 Loss_D_fake -0.005223
[253/5000][215/535][25806] Loss_D: -0.032827 Loss_G: 0.001106 Loss_D_real: -0.010215 Loss_D_fake 0.022612
[253/5000][220/535][25807] Loss_D: -0.032951 Loss_G: 0.031255 Loss_D_real: -0.035007 Loss_D_fake -0.002057
[253/5000][225/535][25808] Loss_D: -0.033912 Loss_G: -0.000203 Loss_D_real: -0.010062 Loss_D_fake 0.023849
[253/5000][230/535][25809] Loss_D: -0.033994 Loss_G: 0.015812 Loss_D_real: -0.028549 Loss_D_fake 0.005445
[253/5000][235/535][25810] Loss_D: -0.032690 Loss_G: 0.040731 Loss_D_real: -0.039326 Loss_D_fake -0.006636
[253/5000][240/535][25811] Loss_D: -0.031568 Loss_G: 0.007742 Loss_D_real: -0.015722 Loss_D_fake 0.015845
[253/5000][245/535][25812] Loss_D: -0.032810 Loss_G: 0.017422 Loss_D_real: -0.024704 Loss_D_fake 0.008106
[253/5000][250/535][25813] Loss_D: -0.034096 Loss_G: 0.001243 Loss_D_real: -0.017749 Loss_D_fake 0.016346
[253/5000][255/535][25814] Loss_D: -0.034592 Loss_G: 0.029190 Loss_D_real: -0.027181 Loss_D_fake 0.007412
[253/5000][260/535][25815] Loss_D: -0.033562 Loss_G: 0.032481 Loss_D_real: -0.035483 Loss_D_fake -0.001921
[253/5000][265/535][25816] Loss_D: -0.033694 Loss_G: 0.029743 Loss_D_real: -0.035148 Loss_D_fake -0.001454
[253/5000][270/535][25817] Loss_D: -0.034014 Loss_G: 0.034565 Loss_D_real: -0.028877 Loss_D_fake 0.005137
[253/5000][275/535][25818] Loss_D: -0.032699 Loss_G: 0.010375 Loss_D_real: -0.017972 Loss_D_fake 0.014727
[253/5000][280/535][25819] Loss_D: -0.033414 Loss_G: 0.010629 Loss_D_real: -0.018794 Loss_D_fake 0.014621
[253/5000][285/535][25820] Loss_D: -0.032315 Loss_G: 0.011061 Loss_D_real: -0.025421 Loss_D_fake 0.006894
[253/5000][290/535][25821] Loss_D: -0.033916 Loss_G: -0.001138 Loss_D_real: -0.006669 Loss_D_fake 0.027247
[253/5000][295/535][25822] Loss_D: -0.031392 Loss_G: 0.035661 Loss_D_real: -0.037909 Loss_D_fake -0.006517
[253/5000][300/535][25823] Loss_D: -0.032392 Loss_G: 0.024974 Loss_D_real: -0.033496 Loss_D_fake -0.001103
[253/5000][305/535][25824] Loss_D: -0.035108 Loss_G: 0.008190 Loss_D_real: -0.025063 Loss_D_fake 0.010046
[253/5000][310/535][25825] Loss_D: -0.033061 Loss_G: 0.026471 Loss_D_real: -0.033201 Loss_D_fake -0.000140
[253/5000][315/535][25826] Loss_D: -0.032570 Loss_G: -0.013002 Loss_D_real: -0.006140 Loss_D_fake 0.026430
[253/5000][320/535][25827] Loss_D: -0.032420 Loss_G: 0.026444 Loss_D_real: -0.031963 Loss_D_fake 0.000457
[253/5000][325/535][25828] Loss_D: -0.032684 Loss_G: 0.015261 Loss_D_real: -0.020470 Loss_D_fake 0.012214
[253/5000][330/535][25829] Loss_D: -0.034619 Loss_G: 0.006843 Loss_D_real: -0.013261 Loss_D_fake 0.021359
[253/5000][335/535][25830] Loss_D: -0.035243 Loss_G: 0.020293 Loss_D_real: -0.025194 Loss_D_fake 0.010050
[253/5000][340/535][25831] Loss_D: -0.035620 Loss_G: 0.022861 Loss_D_real: -0.020866 Loss_D_fake 0.014754
[253/5000][345/535][25832] Loss_D: -0.035102 Loss_G: 0.021036 Loss_D_real: -0.021429 Loss_D_fake 0.013673
[253/5000][350/535][25833] Loss_D: -0.034899 Loss_G: 0.002017 Loss_D_real: -0.009659 Loss_D_fake 0.025240
[253/5000][355/535][25834] Loss_D: -0.036357 Loss_G: 0.027907 Loss_D_real: -0.030110 Loss_D_fake 0.006247
[253/5000][360/535][25835] Loss_D: -0.035219 Loss_G: 0.016811 Loss_D_real: -0.009983 Loss_D_fake 0.025236
[253/5000][365/535][25836] Loss_D: -0.033882 Loss_G: 0.007620 Loss_D_real: -0.018864 Loss_D_fake 0.015018
[253/5000][370/535][25837] Loss_D: -0.034573 Loss_G: 0.043866 Loss_D_real: -0.046603 Loss_D_fake -0.012030
[253/5000][375/535][25838] Loss_D: -0.035204 Loss_G: 0.015474 Loss_D_real: -0.022615 Loss_D_fake 0.012590
[253/5000][380/535][25839] Loss_D: -0.034187 Loss_G: 0.025668 Loss_D_real: -0.026271 Loss_D_fake 0.007915
[253/5000][385/535][25840] Loss_D: -0.033303 Loss_G: 0.039104 Loss_D_real: -0.039229 Loss_D_fake -0.005926
[253/5000][390/535][25841] Loss_D: -0.033595 Loss_G: -0.016302 Loss_D_real: -0.000878 Loss_D_fake 0.032717
[253/5000][395/535][25842] Loss_D: -0.031940 Loss_G: 0.035355 Loss_D_real: -0.038988 Loss_D_fake -0.007048
[253/5000][400/535][25843] Loss_D: -0.031001 Loss_G: -0.013284 Loss_D_real: -0.000271 Loss_D_fake 0.030729
[253/5000][405/535][25844] Loss_D: -0.033178 Loss_G: 0.005540 Loss_D_real: -0.016218 Loss_D_fake 0.016960
[253/5000][410/535][25845] Loss_D: -0.033693 Loss_G: 0.014368 Loss_D_real: -0.025336 Loss_D_fake 0.008358
[253/5000][415/535][25846] Loss_D: -0.034034 Loss_G: 0.032226 Loss_D_real: -0.036551 Loss_D_fake -0.002517
[253/5000][420/535][25847] Loss_D: -0.034379 Loss_G: 0.021124 Loss_D_real: -0.025371 Loss_D_fake 0.009009
[253/5000][425/535][25848] Loss_D: -0.033039 Loss_G: -0.008605 Loss_D_real: -0.004707 Loss_D_fake 0.028332
[253/5000][430/535][25849] Loss_D: -0.032933 Loss_G: 0.018178 Loss_D_real: -0.022032 Loss_D_fake 0.010902
[253/5000][435/535][25850] Loss_D: -0.035252 Loss_G: 0.016358 Loss_D_real: -0.023662 Loss_D_fake 0.011590
[253/5000][440/535][25851] Loss_D: -0.032065 Loss_G: 0.012961 Loss_D_real: -0.016977 Loss_D_fake 0.015087
[253/5000][445/535][25852] Loss_D: -0.033917 Loss_G: 0.005666 Loss_D_real: -0.021116 Loss_D_fake 0.012801
[253/5000][450/535][25853] Loss_D: -0.033824 Loss_G: 0.015171 Loss_D_real: -0.026694 Loss_D_fake 0.007130
[253/5000][455/535][25854] Loss_D: -0.033540 Loss_G: 0.017209 Loss_D_real: -0.026653 Loss_D_fake 0.006888
[253/5000][460/535][25855] Loss_D: -0.034648 Loss_G: 0.024263 Loss_D_real: -0.024978 Loss_D_fake 0.009670
[253/5000][465/535][25856] Loss_D: -0.036188 Loss_G: -0.001727 Loss_D_real: -0.014021 Loss_D_fake 0.022167
[253/5000][470/535][25857] Loss_D: -0.034608 Loss_G: 0.005017 Loss_D_real: -0.016188 Loss_D_fake 0.018419
[253/5000][475/535][25858] Loss_D: -0.033738 Loss_G: 0.012238 Loss_D_real: -0.018925 Loss_D_fake 0.014813
[253/5000][480/535][25859] Loss_D: -0.035264 Loss_G: 0.018198 Loss_D_real: -0.023943 Loss_D_fake 0.011321
[253/5000][485/535][25860] Loss_D: -0.034026 Loss_G: -0.019764 Loss_D_real: -0.004079 Loss_D_fake 0.029947
[253/5000][490/535][25861] Loss_D: -0.032332 Loss_G: 0.039428 Loss_D_real: -0.041976 Loss_D_fake -0.009644
[253/5000][495/535][25862] Loss_D: -0.031571 Loss_G: -0.008882 Loss_D_real: 0.001295 Loss_D_fake 0.032865
[253/5000][500/535][25863] Loss_D: -0.032143 Loss_G: 0.026396 Loss_D_real: -0.030779 Loss_D_fake 0.001364
[253/5000][505/535][25864] Loss_D: -0.033486 Loss_G: 0.008429 Loss_D_real: -0.023140 Loss_D_fake 0.010346
[253/5000][510/535][25865] Loss_D: -0.033369 Loss_G: 0.018711 Loss_D_real: -0.026258 Loss_D_fake 0.007111
[253/5000][515/535][25866] Loss_D: -0.034484 Loss_G: 0.024634 Loss_D_real: -0.030150 Loss_D_fake 0.004334
[253/5000][520/535][25867] Loss_D: -0.034851 Loss_G: -0.002374 Loss_D_real: -0.013476 Loss_D_fake 0.021374
[253/5000][525/535][25868] Loss_D: -0.032906 Loss_G: 0.026213 Loss_D_real: -0.024357 Loss_D_fake 0.008549
[253/5000][530/535][25869] Loss_D: -0.034688 Loss_G: -0.007138 Loss_D_real: -0.008368 Loss_D_fake 0.026320
[253/5000][535/535][25870] Loss_D: -0.034033 Loss_G: 0.050514 Loss_D_real: -0.032801 Loss_D_fake 0.001232
[254/5000][5/535][25871] Loss_D: -0.033976 Loss_G: 0.023138 Loss_D_real: -0.024479 Loss_D_fake 0.009497
[254/5000][10/535][25872] Loss_D: -0.031238 Loss_G: -0.018834 Loss_D_real: -0.001683 Loss_D_fake 0.029555
[254/5000][15/535][25873] Loss_D: -0.032807 Loss_G: 0.024058 Loss_D_real: -0.030552 Loss_D_fake 0.002255
[254/5000][20/535][25874] Loss_D: -0.033210 Loss_G: 0.037441 Loss_D_real: -0.040720 Loss_D_fake -0.007510
[254/5000][25/535][25875] Loss_D: -0.032546 Loss_G: -0.006135 Loss_D_real: -0.001375 Loss_D_fake 0.031172
[254/5000][30/535][25876] Loss_D: -0.033639 Loss_G: 0.011012 Loss_D_real: -0.024589 Loss_D_fake 0.009050
[254/5000][35/535][25877] Loss_D: -0.033625 Loss_G: 0.005819 Loss_D_real: -0.013702 Loss_D_fake 0.019922
[254/5000][40/535][25878] Loss_D: -0.033538 Loss_G: 0.028190 Loss_D_real: -0.038181 Loss_D_fake -0.004642
[254/5000][45/535][25879] Loss_D: -0.033319 Loss_G: 0.008152 Loss_D_real: -0.011840 Loss_D_fake 0.021479
[254/5000][50/535][25880] Loss_D: -0.033312 Loss_G: 0.026861 Loss_D_real: -0.030800 Loss_D_fake 0.002512
[254/5000][55/535][25881] Loss_D: -0.035784 Loss_G: 0.009610 Loss_D_real: -0.014023 Loss_D_fake 0.021761
[254/5000][60/535][25882] Loss_D: -0.033169 Loss_G: 0.024146 Loss_D_real: -0.023567 Loss_D_fake 0.009602
[254/5000][65/535][25883] Loss_D: -0.033618 Loss_G: 0.023249 Loss_D_real: -0.023161 Loss_D_fake 0.010456
[254/5000][70/535][25884] Loss_D: -0.033399 Loss_G: -0.005609 Loss_D_real: -0.005627 Loss_D_fake 0.027771
[254/5000][75/535][25885] Loss_D: -0.034122 Loss_G: 0.034098 Loss_D_real: -0.035853 Loss_D_fake -0.001731
[254/5000][80/535][25886] Loss_D: -0.034827 Loss_G: 0.006927 Loss_D_real: -0.009830 Loss_D_fake 0.024997
[254/5000][85/535][25887] Loss_D: -0.034047 Loss_G: 0.036993 Loss_D_real: -0.030613 Loss_D_fake 0.003435
[254/5000][90/535][25888] Loss_D: -0.033738 Loss_G: 0.021688 Loss_D_real: -0.021008 Loss_D_fake 0.012730
[254/5000][95/535][25889] Loss_D: -0.035744 Loss_G: 0.000827 Loss_D_real: -0.021109 Loss_D_fake 0.014635
[254/5000][100/535][25890] Loss_D: -0.032899 Loss_G: 0.030711 Loss_D_real: -0.037855 Loss_D_fake -0.004956
[254/5000][105/535][25891] Loss_D: -0.034998 Loss_G: 0.014923 Loss_D_real: -0.023286 Loss_D_fake 0.011712
[254/5000][110/535][25892] Loss_D: -0.034097 Loss_G: 0.008492 Loss_D_real: -0.019727 Loss_D_fake 0.014370
[254/5000][115/535][25893] Loss_D: -0.035599 Loss_G: 0.029101 Loss_D_real: -0.033825 Loss_D_fake 0.001774
[254/5000][120/535][25894] Loss_D: -0.035713 Loss_G: 0.018690 Loss_D_real: -0.026885 Loss_D_fake 0.008828
[254/5000][125/535][25895] Loss_D: -0.035503 Loss_G: 0.008452 Loss_D_real: -0.020981 Loss_D_fake 0.014521
[254/5000][130/535][25896] Loss_D: -0.034139 Loss_G: 0.000153 Loss_D_real: -0.017315 Loss_D_fake 0.016824
[254/5000][135/535][25897] Loss_D: -0.034363 Loss_G: 0.028541 Loss_D_real: -0.030946 Loss_D_fake 0.003417
[254/5000][140/535][25898] Loss_D: -0.034877 Loss_G: -0.000463 Loss_D_real: -0.013964 Loss_D_fake 0.020913
[254/5000][145/535][25899] Loss_D: -0.034500 Loss_G: 0.026977 Loss_D_real: -0.034651 Loss_D_fake -0.000151
[254/5000][150/535][25900] Loss_D: -0.033964 Loss_G: 0.024925 Loss_D_real: -0.024588 Loss_D_fake 0.009376
[254/5000][155/535][25901] Loss_D: -0.033981 Loss_G: -0.010657 Loss_D_real: -0.000805 Loss_D_fake 0.033176
[254/5000][160/535][25902] Loss_D: -0.032873 Loss_G: 0.021552 Loss_D_real: -0.034323 Loss_D_fake -0.001449
[254/5000][165/535][25903] Loss_D: -0.032494 Loss_G: 0.031271 Loss_D_real: -0.038963 Loss_D_fake -0.006469
[254/5000][170/535][25904] Loss_D: -0.033033 Loss_G: 0.005117 Loss_D_real: -0.011471 Loss_D_fake 0.021562
[254/5000][175/535][25905] Loss_D: -0.032460 Loss_G: 0.037083 Loss_D_real: -0.032480 Loss_D_fake -0.000020
[254/5000][180/535][25906] Loss_D: -0.034648 Loss_G: 0.013516 Loss_D_real: -0.019730 Loss_D_fake 0.014918
[254/5000][185/535][25907] Loss_D: -0.032316 Loss_G: 0.013332 Loss_D_real: -0.020635 Loss_D_fake 0.011680
[254/5000][190/535][25908] Loss_D: -0.033636 Loss_G: 0.019492 Loss_D_real: -0.013261 Loss_D_fake 0.020375
[254/5000][195/535][25909] Loss_D: -0.033020 Loss_G: -0.009764 Loss_D_real: -0.006921 Loss_D_fake 0.026099
[254/5000][200/535][25910] Loss_D: -0.032438 Loss_G: 0.038930 Loss_D_real: -0.044952 Loss_D_fake -0.012515
[254/5000][205/535][25911] Loss_D: -0.033410 Loss_G: -0.008845 Loss_D_real: -0.011377 Loss_D_fake 0.022033
[254/5000][210/535][25912] Loss_D: -0.033696 Loss_G: 0.018276 Loss_D_real: -0.026482 Loss_D_fake 0.007214
[254/5000][215/535][25913] Loss_D: -0.033840 Loss_G: 0.018298 Loss_D_real: -0.026929 Loss_D_fake 0.006911
[254/5000][220/535][25914] Loss_D: -0.032674 Loss_G: 0.008697 Loss_D_real: -0.015480 Loss_D_fake 0.017194
[254/5000][225/535][25915] Loss_D: -0.033079 Loss_G: 0.021962 Loss_D_real: -0.025586 Loss_D_fake 0.007493
[254/5000][230/535][25916] Loss_D: -0.033995 Loss_G: 0.019223 Loss_D_real: -0.019875 Loss_D_fake 0.014120
[254/5000][235/535][25917] Loss_D: -0.033469 Loss_G: 0.020252 Loss_D_real: -0.019729 Loss_D_fake 0.013740
[254/5000][240/535][25918] Loss_D: -0.034606 Loss_G: 0.014039 Loss_D_real: -0.019636 Loss_D_fake 0.014970
[254/5000][245/535][25919] Loss_D: -0.033912 Loss_G: 0.004605 Loss_D_real: -0.016275 Loss_D_fake 0.017637
[254/5000][250/535][25920] Loss_D: -0.032913 Loss_G: 0.026826 Loss_D_real: -0.025804 Loss_D_fake 0.007109
[254/5000][255/535][25921] Loss_D: -0.033913 Loss_G: 0.018495 Loss_D_real: -0.020672 Loss_D_fake 0.013241
[254/5000][260/535][25922] Loss_D: -0.033929 Loss_G: 0.005122 Loss_D_real: -0.019212 Loss_D_fake 0.014718
[254/5000][265/535][25923] Loss_D: -0.033298 Loss_G: 0.036905 Loss_D_real: -0.034723 Loss_D_fake -0.001425
[254/5000][270/535][25924] Loss_D: -0.033920 Loss_G: -0.001607 Loss_D_real: -0.014563 Loss_D_fake 0.019357
[254/5000][275/535][25925] Loss_D: -0.033570 Loss_G: 0.031531 Loss_D_real: -0.036527 Loss_D_fake -0.002957
[254/5000][280/535][25926] Loss_D: -0.033757 Loss_G: 0.010603 Loss_D_real: -0.019630 Loss_D_fake 0.014127
[254/5000][285/535][25927] Loss_D: -0.034209 Loss_G: 0.007891 Loss_D_real: -0.017508 Loss_D_fake 0.016701
[254/5000][290/535][25928] Loss_D: -0.035572 Loss_G: 0.005315 Loss_D_real: -0.009903 Loss_D_fake 0.025669
[254/5000][295/535][25929] Loss_D: -0.033381 Loss_G: 0.014321 Loss_D_real: -0.025889 Loss_D_fake 0.007491
[254/5000][300/535][25930] Loss_D: -0.035567 Loss_G: 0.013272 Loss_D_real: -0.018024 Loss_D_fake 0.017544
[254/5000][305/535][25931] Loss_D: -0.032454 Loss_G: -0.011084 Loss_D_real: -0.001307 Loss_D_fake 0.031147
[254/5000][310/535][25932] Loss_D: -0.034348 Loss_G: 0.016983 Loss_D_real: -0.025943 Loss_D_fake 0.008405
[254/5000][315/535][25933] Loss_D: -0.033769 Loss_G: 0.037800 Loss_D_real: -0.043477 Loss_D_fake -0.009708
[254/5000][320/535][25934] Loss_D: -0.033292 Loss_G: 0.000171 Loss_D_real: -0.007910 Loss_D_fake 0.025382
[254/5000][325/535][25935] Loss_D: -0.033649 Loss_G: 0.021190 Loss_D_real: -0.022949 Loss_D_fake 0.010699
[254/5000][330/535][25936] Loss_D: -0.034220 Loss_G: 0.022102 Loss_D_real: -0.024859 Loss_D_fake 0.009360
[254/5000][335/535][25937] Loss_D: -0.034266 Loss_G: -0.012745 Loss_D_real: -0.007034 Loss_D_fake 0.027232
[254/5000][340/535][25938] Loss_D: -0.032782 Loss_G: 0.019606 Loss_D_real: -0.031058 Loss_D_fake 0.001724
[254/5000][345/535][25939] Loss_D: -0.034772 Loss_G: 0.029230 Loss_D_real: -0.028522 Loss_D_fake 0.006250
[254/5000][350/535][25940] Loss_D: -0.035028 Loss_G: 0.002259 Loss_D_real: -0.008723 Loss_D_fake 0.026305
[254/5000][355/535][25941] Loss_D: -0.032619 Loss_G: 0.030165 Loss_D_real: -0.031386 Loss_D_fake 0.001234
[254/5000][360/535][25942] Loss_D: -0.035189 Loss_G: 0.004330 Loss_D_real: -0.012453 Loss_D_fake 0.022736
[254/5000][365/535][25943] Loss_D: -0.032453 Loss_G: 0.026057 Loss_D_real: -0.025655 Loss_D_fake 0.006798
[254/5000][370/535][25944] Loss_D: -0.034310 Loss_G: 0.013629 Loss_D_real: -0.015138 Loss_D_fake 0.019172
[254/5000][375/535][25945] Loss_D: -0.034362 Loss_G: 0.019112 Loss_D_real: -0.026865 Loss_D_fake 0.007497
[254/5000][380/535][25946] Loss_D: -0.032698 Loss_G: 0.036067 Loss_D_real: -0.040365 Loss_D_fake -0.007667
[254/5000][385/535][25947] Loss_D: -0.034466 Loss_G: 0.016714 Loss_D_real: -0.025294 Loss_D_fake 0.009171
[254/5000][390/535][25948] Loss_D: -0.035401 Loss_G: 0.033434 Loss_D_real: -0.030648 Loss_D_fake 0.004753
[254/5000][395/535][25949] Loss_D: -0.032775 Loss_G: -0.011233 Loss_D_real: -0.004911 Loss_D_fake 0.027864
[254/5000][400/535][25950] Loss_D: -0.032946 Loss_G: 0.027929 Loss_D_real: -0.029477 Loss_D_fake 0.003469
[254/5000][405/535][25951] Loss_D: -0.032628 Loss_G: 0.006293 Loss_D_real: -0.013388 Loss_D_fake 0.019240
[254/5000][410/535][25952] Loss_D: -0.033669 Loss_G: 0.035606 Loss_D_real: -0.031164 Loss_D_fake 0.002505
[254/5000][415/535][25953] Loss_D: -0.033952 Loss_G: -0.004770 Loss_D_real: -0.010433 Loss_D_fake 0.023519
[254/5000][420/535][25954] Loss_D: -0.033567 Loss_G: 0.027891 Loss_D_real: -0.030594 Loss_D_fake 0.002974
[254/5000][425/535][25955] Loss_D: -0.035277 Loss_G: 0.016560 Loss_D_real: -0.025240 Loss_D_fake 0.010036
[254/5000][430/535][25956] Loss_D: -0.032568 Loss_G: 0.003476 Loss_D_real: -0.011051 Loss_D_fake 0.021517
[254/5000][435/535][25957] Loss_D: -0.035726 Loss_G: 0.012607 Loss_D_real: -0.020263 Loss_D_fake 0.015462
[254/5000][440/535][25958] Loss_D: -0.035142 Loss_G: 0.015384 Loss_D_real: -0.026115 Loss_D_fake 0.009027
[254/5000][445/535][25959] Loss_D: -0.033551 Loss_G: 0.009443 Loss_D_real: -0.020036 Loss_D_fake 0.013515
[254/5000][450/535][25960] Loss_D: -0.031470 Loss_G: 0.019775 Loss_D_real: -0.032907 Loss_D_fake -0.001438
[254/5000][455/535][25961] Loss_D: -0.030874 Loss_G: -0.009147 Loss_D_real: 0.006496 Loss_D_fake 0.037370
[254/5000][460/535][25962] Loss_D: -0.033533 Loss_G: 0.020011 Loss_D_real: -0.028909 Loss_D_fake 0.004624
[254/5000][465/535][25963] Loss_D: -0.034587 Loss_G: 0.025632 Loss_D_real: -0.030583 Loss_D_fake 0.004003
[254/5000][470/535][25964] Loss_D: -0.033934 Loss_G: 0.037636 Loss_D_real: -0.036802 Loss_D_fake -0.002868
[254/5000][475/535][25965] Loss_D: -0.032647 Loss_G: 0.001371 Loss_D_real: -0.008757 Loss_D_fake 0.023890
[254/5000][480/535][25966] Loss_D: -0.033172 Loss_G: 0.011923 Loss_D_real: -0.012508 Loss_D_fake 0.020665
[254/5000][485/535][25967] Loss_D: -0.033713 Loss_G: -0.003775 Loss_D_real: -0.012889 Loss_D_fake 0.020824
[254/5000][490/535][25968] Loss_D: -0.032212 Loss_G: 0.026194 Loss_D_real: -0.032433 Loss_D_fake -0.000222
[254/5000][495/535][25969] Loss_D: -0.032605 Loss_G: 0.019762 Loss_D_real: -0.016405 Loss_D_fake 0.016199
[254/5000][500/535][25970] Loss_D: -0.032772 Loss_G: 0.002684 Loss_D_real: -0.010578 Loss_D_fake 0.022194
[254/5000][505/535][25971] Loss_D: -0.033171 Loss_G: 0.030237 Loss_D_real: -0.034632 Loss_D_fake -0.001461
[254/5000][510/535][25972] Loss_D: -0.036455 Loss_G: 0.015071 Loss_D_real: -0.015553 Loss_D_fake 0.020902
[254/5000][515/535][25973] Loss_D: -0.034701 Loss_G: 0.012121 Loss_D_real: -0.018595 Loss_D_fake 0.016106
[254/5000][520/535][25974] Loss_D: -0.034520 Loss_G: 0.023299 Loss_D_real: -0.024112 Loss_D_fake 0.010408
[254/5000][525/535][25975] Loss_D: -0.033653 Loss_G: -0.012296 Loss_D_real: -0.003388 Loss_D_fake 0.030265
[254/5000][530/535][25976] Loss_D: -0.033477 Loss_G: 0.026167 Loss_D_real: -0.032825 Loss_D_fake 0.000652
[254/5000][535/535][25977] Loss_D: -0.031980 Loss_G: 0.011679 Loss_D_real: -0.022157 Loss_D_fake 0.009823
[255/5000][5/535][25978] Loss_D: -0.033134 Loss_G: 0.006256 Loss_D_real: -0.016653 Loss_D_fake 0.016481
[255/5000][10/535][25979] Loss_D: -0.034987 Loss_G: 0.021212 Loss_D_real: -0.029113 Loss_D_fake 0.005874
[255/5000][15/535][25980] Loss_D: -0.034530 Loss_G: 0.031337 Loss_D_real: -0.031218 Loss_D_fake 0.003312
[255/5000][20/535][25981] Loss_D: -0.033599 Loss_G: 0.030301 Loss_D_real: -0.026016 Loss_D_fake 0.007583
[255/5000][25/535][25982] Loss_D: -0.034240 Loss_G: 0.003993 Loss_D_real: -0.016819 Loss_D_fake 0.017421
[255/5000][30/535][25983] Loss_D: -0.034693 Loss_G: 0.018118 Loss_D_real: -0.021567 Loss_D_fake 0.013127
[255/5000][35/535][25984] Loss_D: -0.031785 Loss_G: 0.033818 Loss_D_real: -0.037794 Loss_D_fake -0.006009
[255/5000][40/535][25985] Loss_D: -0.033410 Loss_G: -0.002452 Loss_D_real: -0.011532 Loss_D_fake 0.021878
[255/5000][45/535][25986] Loss_D: -0.034144 Loss_G: 0.025591 Loss_D_real: -0.027542 Loss_D_fake 0.006601
[255/5000][50/535][25987] Loss_D: -0.032446 Loss_G: 0.031240 Loss_D_real: -0.039287 Loss_D_fake -0.006840
[255/5000][55/535][25988] Loss_D: -0.032767 Loss_G: -0.008486 Loss_D_real: -0.005394 Loss_D_fake 0.027373
[255/5000][60/535][25989] Loss_D: -0.033457 Loss_G: 0.027397 Loss_D_real: -0.029785 Loss_D_fake 0.003672
[255/5000][65/535][25990] Loss_D: -0.034446 Loss_G: 0.000855 Loss_D_real: -0.009425 Loss_D_fake 0.025021
[255/5000][70/535][25991] Loss_D: -0.031714 Loss_G: 0.038003 Loss_D_real: -0.041850 Loss_D_fake -0.010136
[255/5000][75/535][25992] Loss_D: -0.032720 Loss_G: 0.003634 Loss_D_real: -0.011955 Loss_D_fake 0.020765
[255/5000][80/535][25993] Loss_D: -0.033789 Loss_G: 0.015918 Loss_D_real: -0.020219 Loss_D_fake 0.013570
[255/5000][85/535][25994] Loss_D: -0.033540 Loss_G: -0.010410 Loss_D_real: -0.010707 Loss_D_fake 0.022833
[255/5000][90/535][25995] Loss_D: -0.032409 Loss_G: 0.023403 Loss_D_real: -0.026168 Loss_D_fake 0.006241
[255/5000][95/535][25996] Loss_D: -0.033975 Loss_G: 0.011152 Loss_D_real: -0.014675 Loss_D_fake 0.019299
[255/5000][100/535][25997] Loss_D: -0.034235 Loss_G: 0.017798 Loss_D_real: -0.022588 Loss_D_fake 0.011647
[255/5000][105/535][25998] Loss_D: -0.036636 Loss_G: -0.004695 Loss_D_real: -0.015351 Loss_D_fake 0.021284
[255/5000][110/535][25999] Loss_D: -0.036289 Loss_G: 0.027625 Loss_D_real: -0.030586 Loss_D_fake 0.005702
[255/5000][115/535][26000] Loss_D: -0.035644 Loss_G: 0.013614 Loss_D_real: -0.020586 Loss_D_fake 0.015058
[255/5000][215/535][26001] Loss_D: -0.034752 Loss_G: -0.005767 Loss_D_real: 0.002985 Loss_D_fake 0.037737
[255/5000][220/535][26002] Loss_D: -0.035278 Loss_G: 0.027770 Loss_D_real: -0.021038 Loss_D_fake 0.014239
[255/5000][225/535][26003] Loss_D: -0.030485 Loss_G: 0.006982 Loss_D_real: -0.015018 Loss_D_fake 0.015467
[255/5000][230/535][26004] Loss_D: -0.030659 Loss_G: 0.013032 Loss_D_real: -0.023774 Loss_D_fake 0.006885
[255/5000][235/535][26005] Loss_D: -0.033119 Loss_G: 0.017667 Loss_D_real: -0.023290 Loss_D_fake 0.009829
[255/5000][240/535][26006] Loss_D: -0.032693 Loss_G: 0.008781 Loss_D_real: -0.019825 Loss_D_fake 0.012868
[255/5000][245/535][26007] Loss_D: -0.032438 Loss_G: 0.030000 Loss_D_real: -0.030597 Loss_D_fake 0.001841
[255/5000][250/535][26008] Loss_D: -0.032415 Loss_G: 0.002762 Loss_D_real: -0.002617 Loss_D_fake 0.029798
[255/5000][255/535][26009] Loss_D: -0.033411 Loss_G: 0.025589 Loss_D_real: -0.024742 Loss_D_fake 0.008669
[255/5000][260/535][26010] Loss_D: -0.034657 Loss_G: 0.013295 Loss_D_real: -0.018699 Loss_D_fake 0.015958
[255/5000][265/535][26011] Loss_D: -0.032991 Loss_G: 0.034554 Loss_D_real: -0.033994 Loss_D_fake -0.001003
[255/5000][270/535][26012] Loss_D: -0.033070 Loss_G: -0.003190 Loss_D_real: -0.014634 Loss_D_fake 0.018436
[255/5000][275/535][26013] Loss_D: -0.032099 Loss_G: 0.017791 Loss_D_real: -0.023666 Loss_D_fake 0.008434
[255/5000][280/535][26014] Loss_D: -0.034529 Loss_G: 0.025498 Loss_D_real: -0.030073 Loss_D_fake 0.004456
[255/5000][285/535][26015] Loss_D: -0.032432 Loss_G: 0.011397 Loss_D_real: -0.022297 Loss_D_fake 0.010136
[255/5000][290/535][26016] Loss_D: -0.032159 Loss_G: 0.010215 Loss_D_real: -0.023719 Loss_D_fake 0.008440
[255/5000][295/535][26017] Loss_D: -0.032859 Loss_G: 0.021490 Loss_D_real: -0.027892 Loss_D_fake 0.004967
[255/5000][300/535][26018] Loss_D: -0.032418 Loss_G: 0.016461 Loss_D_real: -0.014695 Loss_D_fake 0.017723
[255/5000][305/535][26019] Loss_D: -0.032475 Loss_G: 0.009753 Loss_D_real: -0.012210 Loss_D_fake 0.020265
[255/5000][310/535][26020] Loss_D: -0.032421 Loss_G: 0.021265 Loss_D_real: -0.022250 Loss_D_fake 0.010172
[255/5000][315/535][26021] Loss_D: -0.032514 Loss_G: 0.005223 Loss_D_real: -0.016848 Loss_D_fake 0.015666
[255/5000][320/535][26022] Loss_D: -0.031697 Loss_G: 0.029396 Loss_D_real: -0.029609 Loss_D_fake 0.002088
[255/5000][325/535][26023] Loss_D: -0.032745 Loss_G: 0.005626 Loss_D_real: -0.015632 Loss_D_fake 0.017113
[255/5000][330/535][26024] Loss_D: -0.035085 Loss_G: -0.001581 Loss_D_real: -0.015994 Loss_D_fake 0.019091
[255/5000][335/535][26025] Loss_D: -0.032458 Loss_G: 0.034366 Loss_D_real: -0.043621 Loss_D_fake -0.011162
[255/5000][340/535][26026] Loss_D: -0.034032 Loss_G: 0.010877 Loss_D_real: -0.017213 Loss_D_fake 0.016819
[255/5000][345/535][26027] Loss_D: -0.031733 Loss_G: 0.026057 Loss_D_real: -0.038176 Loss_D_fake -0.006442
[255/5000][350/535][26028] Loss_D: -0.033054 Loss_G: -0.009015 Loss_D_real: -0.004715 Loss_D_fake 0.028339
[255/5000][355/535][26029] Loss_D: -0.033094 Loss_G: 0.021289 Loss_D_real: -0.028813 Loss_D_fake 0.004281
[255/5000][360/535][26030] Loss_D: -0.033925 Loss_G: 0.012217 Loss_D_real: -0.020065 Loss_D_fake 0.013860
[255/5000][365/535][26031] Loss_D: -0.033646 Loss_G: 0.001204 Loss_D_real: -0.006220 Loss_D_fake 0.027426
[255/5000][370/535][26032] Loss_D: -0.032753 Loss_G: 0.040001 Loss_D_real: -0.034398 Loss_D_fake -0.001645
[255/5000][375/535][26033] Loss_D: -0.033763 Loss_G: -0.003951 Loss_D_real: -0.000769 Loss_D_fake 0.032994
[255/5000][380/535][26034] Loss_D: -0.034215 Loss_G: 0.017263 Loss_D_real: -0.020813 Loss_D_fake 0.013401
[255/5000][385/535][26035] Loss_D: -0.032925 Loss_G: 0.012250 Loss_D_real: -0.016623 Loss_D_fake 0.016302
[255/5000][390/535][26036] Loss_D: -0.033871 Loss_G: 0.007822 Loss_D_real: -0.015422 Loss_D_fake 0.018450
[255/5000][395/535][26037] Loss_D: -0.035036 Loss_G: 0.006424 Loss_D_real: -0.015606 Loss_D_fake 0.019430
[255/5000][400/535][26038] Loss_D: -0.036581 Loss_G: 0.012115 Loss_D_real: -0.028667 Loss_D_fake 0.007914
[255/5000][405/535][26039] Loss_D: -0.032730 Loss_G: 0.000006 Loss_D_real: -0.006275 Loss_D_fake 0.026455
[255/5000][410/535][26040] Loss_D: -0.032550 Loss_G: 0.029358 Loss_D_real: -0.039150 Loss_D_fake -0.006600
[255/5000][415/535][26041] Loss_D: -0.032699 Loss_G: -0.010413 Loss_D_real: -0.004692 Loss_D_fake 0.028008
[255/5000][420/535][26042] Loss_D: -0.033265 Loss_G: 0.023355 Loss_D_real: -0.029080 Loss_D_fake 0.004185
[255/5000][425/535][26043] Loss_D: -0.032787 Loss_G: 0.022381 Loss_D_real: -0.018107 Loss_D_fake 0.014680
[255/5000][430/535][26044] Loss_D: -0.033894 Loss_G: 0.022046 Loss_D_real: -0.025916 Loss_D_fake 0.007978
[255/5000][435/535][26045] Loss_D: -0.034318 Loss_G: 0.007707 Loss_D_real: -0.016891 Loss_D_fake 0.017428
[255/5000][440/535][26046] Loss_D: -0.033732 Loss_G: 0.027080 Loss_D_real: -0.027258 Loss_D_fake 0.006473
[255/5000][445/535][26047] Loss_D: -0.033123 Loss_G: 0.034498 Loss_D_real: -0.044470 Loss_D_fake -0.011347
[255/5000][450/535][26048] Loss_D: -0.033532 Loss_G: -0.019806 Loss_D_real: 0.001556 Loss_D_fake 0.035088
[255/5000][455/535][26049] Loss_D: -0.033090 Loss_G: 0.019548 Loss_D_real: -0.024703 Loss_D_fake 0.008387
[255/5000][460/535][26050] Loss_D: -0.032439 Loss_G: 0.001280 Loss_D_real: -0.006305 Loss_D_fake 0.026134
[255/5000][465/535][26051] Loss_D: -0.034009 Loss_G: 0.021767 Loss_D_real: -0.025652 Loss_D_fake 0.008356
[255/5000][470/535][26052] Loss_D: -0.034247 Loss_G: 0.000809 Loss_D_real: -0.016223 Loss_D_fake 0.018024
[255/5000][475/535][26053] Loss_D: -0.031702 Loss_G: 0.025330 Loss_D_real: -0.030980 Loss_D_fake 0.000722
[255/5000][480/535][26054] Loss_D: -0.035055 Loss_G: 0.031475 Loss_D_real: -0.027325 Loss_D_fake 0.007731
[255/5000][485/535][26055] Loss_D: -0.033297 Loss_G: -0.011689 Loss_D_real: -0.003428 Loss_D_fake 0.029869
[255/5000][490/535][26056] Loss_D: -0.032089 Loss_G: 0.025804 Loss_D_real: -0.031886 Loss_D_fake 0.000203
[255/5000][495/535][26057] Loss_D: -0.033374 Loss_G: 0.025488 Loss_D_real: -0.024042 Loss_D_fake 0.009333
[255/5000][500/535][26058] Loss_D: -0.036595 Loss_G: 0.014511 Loss_D_real: -0.012254 Loss_D_fake 0.024341
[255/5000][505/535][26059] Loss_D: -0.034340 Loss_G: 0.002007 Loss_D_real: -0.009380 Loss_D_fake 0.024960
[255/5000][510/535][26060] Loss_D: -0.033518 Loss_G: 0.029992 Loss_D_real: -0.028219 Loss_D_fake 0.005299
[255/5000][515/535][26061] Loss_D: -0.034292 Loss_G: 0.030750 Loss_D_real: -0.032249 Loss_D_fake 0.002044
[255/5000][520/535][26062] Loss_D: -0.034876 Loss_G: 0.032742 Loss_D_real: -0.026891 Loss_D_fake 0.007985
[255/5000][525/535][26063] Loss_D: -0.034095 Loss_G: 0.008229 Loss_D_real: -0.019380 Loss_D_fake 0.014715
[255/5000][530/535][26064] Loss_D: -0.034384 Loss_G: 0.023959 Loss_D_real: -0.026418 Loss_D_fake 0.007967
[255/5000][535/535][26065] Loss_D: -0.029464 Loss_G: 0.016529 Loss_D_real: -0.020542 Loss_D_fake 0.008922
[256/5000][5/535][26066] Loss_D: -0.035414 Loss_G: -0.002327 Loss_D_real: -0.016422 Loss_D_fake 0.018992
[256/5000][10/535][26067] Loss_D: -0.034159 Loss_G: 0.024760 Loss_D_real: -0.028955 Loss_D_fake 0.005203
[256/5000][15/535][26068] Loss_D: -0.031182 Loss_G: 0.007394 Loss_D_real: -0.013035 Loss_D_fake 0.018146
[256/5000][20/535][26069] Loss_D: -0.032943 Loss_G: 0.007954 Loss_D_real: -0.015395 Loss_D_fake 0.017548
[256/5000][25/535][26070] Loss_D: -0.033387 Loss_G: 0.021175 Loss_D_real: -0.031737 Loss_D_fake 0.001650
[256/5000][30/535][26071] Loss_D: -0.033260 Loss_G: 0.028269 Loss_D_real: -0.038188 Loss_D_fake -0.004928
[256/5000][35/535][26072] Loss_D: -0.033867 Loss_G: 0.025316 Loss_D_real: -0.030849 Loss_D_fake 0.003018
[256/5000][40/535][26073] Loss_D: -0.034046 Loss_G: 0.003706 Loss_D_real: -0.009011 Loss_D_fake 0.025035
[256/5000][45/535][26074] Loss_D: -0.034163 Loss_G: 0.028799 Loss_D_real: -0.025571 Loss_D_fake 0.008592
[256/5000][50/535][26075] Loss_D: -0.034110 Loss_G: 0.031957 Loss_D_real: -0.028072 Loss_D_fake 0.006038
[256/5000][55/535][26076] Loss_D: -0.034498 Loss_G: 0.010846 Loss_D_real: -0.018150 Loss_D_fake 0.016348
[256/5000][60/535][26077] Loss_D: -0.035647 Loss_G: -0.005541 Loss_D_real: -0.010296 Loss_D_fake 0.025350
[256/5000][65/535][26078] Loss_D: -0.035098 Loss_G: 0.029800 Loss_D_real: -0.031253 Loss_D_fake 0.003845
[256/5000][70/535][26079] Loss_D: -0.034739 Loss_G: 0.014981 Loss_D_real: -0.018912 Loss_D_fake 0.015827
[256/5000][75/535][26080] Loss_D: -0.032976 Loss_G: 0.035325 Loss_D_real: -0.025141 Loss_D_fake 0.007835
[256/5000][80/535][26081] Loss_D: -0.032343 Loss_G: -0.015069 Loss_D_real: -0.000952 Loss_D_fake 0.031391
[256/5000][85/535][26082] Loss_D: -0.032992 Loss_G: 0.030518 Loss_D_real: -0.036811 Loss_D_fake -0.003820
[256/5000][90/535][26083] Loss_D: -0.034324 Loss_G: 0.012349 Loss_D_real: -0.020745 Loss_D_fake 0.013579
[256/5000][95/535][26084] Loss_D: -0.032718 Loss_G: 0.010750 Loss_D_real: -0.025996 Loss_D_fake 0.006721
[256/5000][100/535][26085] Loss_D: -0.032081 Loss_G: 0.036754 Loss_D_real: -0.037961 Loss_D_fake -0.005880
[256/5000][105/535][26086] Loss_D: -0.035294 Loss_G: 0.012518 Loss_D_real: -0.018724 Loss_D_fake 0.016570
[256/5000][110/535][26087] Loss_D: -0.032940 Loss_G: 0.031692 Loss_D_real: -0.029466 Loss_D_fake 0.003474
[256/5000][115/535][26088] Loss_D: -0.032809 Loss_G: -0.003067 Loss_D_real: -0.001408 Loss_D_fake 0.031401
[256/5000][120/535][26089] Loss_D: -0.032724 Loss_G: 0.018873 Loss_D_real: -0.026305 Loss_D_fake 0.006420
[256/5000][125/535][26090] Loss_D: -0.032710 Loss_G: 0.001540 Loss_D_real: -0.015630 Loss_D_fake 0.017080
[256/5000][130/535][26091] Loss_D: -0.035477 Loss_G: -0.001917 Loss_D_real: -0.012984 Loss_D_fake 0.022493
[256/5000][135/535][26092] Loss_D: -0.032146 Loss_G: 0.014884 Loss_D_real: -0.022444 Loss_D_fake 0.009702
[256/5000][140/535][26093] Loss_D: -0.032895 Loss_G: 0.030222 Loss_D_real: -0.029049 Loss_D_fake 0.003846
[256/5000][145/535][26094] Loss_D: -0.033563 Loss_G: 0.016965 Loss_D_real: -0.013758 Loss_D_fake 0.019805
[256/5000][150/535][26095] Loss_D: -0.033483 Loss_G: 0.041093 Loss_D_real: -0.032607 Loss_D_fake 0.000876
[256/5000][155/535][26096] Loss_D: -0.034031 Loss_G: -0.004302 Loss_D_real: -0.009493 Loss_D_fake 0.024537
[256/5000][160/535][26097] Loss_D: -0.033098 Loss_G: 0.028303 Loss_D_real: -0.037509 Loss_D_fake -0.004411
[256/5000][165/535][26098] Loss_D: -0.034928 Loss_G: 0.003106 Loss_D_real: -0.009572 Loss_D_fake 0.025356
[256/5000][170/535][26099] Loss_D: -0.034178 Loss_G: 0.027961 Loss_D_real: -0.027700 Loss_D_fake 0.006478
[256/5000][175/535][26100] Loss_D: -0.033666 Loss_G: 0.015120 Loss_D_real: -0.018746 Loss_D_fake 0.014921
[256/5000][180/535][26101] Loss_D: -0.034906 Loss_G: 0.014208 Loss_D_real: -0.016107 Loss_D_fake 0.018799
[256/5000][185/535][26102] Loss_D: -0.035337 Loss_G: 0.002038 Loss_D_real: -0.014232 Loss_D_fake 0.021105
[256/5000][190/535][26103] Loss_D: -0.033663 Loss_G: 0.033332 Loss_D_real: -0.038304 Loss_D_fake -0.004641
[256/5000][195/535][26104] Loss_D: -0.034829 Loss_G: 0.027277 Loss_D_real: -0.036535 Loss_D_fake -0.001706
[256/5000][200/535][26105] Loss_D: -0.036035 Loss_G: 0.007742 Loss_D_real: -0.013369 Loss_D_fake 0.022666
[256/5000][205/535][26106] Loss_D: -0.033900 Loss_G: 0.039421 Loss_D_real: -0.038804 Loss_D_fake -0.004904
[256/5000][210/535][26107] Loss_D: -0.034312 Loss_G: 0.030421 Loss_D_real: -0.034290 Loss_D_fake 0.000022
[256/5000][215/535][26108] Loss_D: -0.033195 Loss_G: -0.004032 Loss_D_real: -0.012807 Loss_D_fake 0.020388
[256/5000][220/535][26109] Loss_D: -0.033895 Loss_G: 0.022206 Loss_D_real: -0.029113 Loss_D_fake 0.004782
[256/5000][225/535][26110] Loss_D: -0.032946 Loss_G: 0.034366 Loss_D_real: -0.035106 Loss_D_fake -0.002160
[256/5000][230/535][26111] Loss_D: -0.033067 Loss_G: -0.007457 Loss_D_real: -0.002532 Loss_D_fake 0.030536
[256/5000][235/535][26112] Loss_D: -0.031222 Loss_G: 0.031243 Loss_D_real: -0.042824 Loss_D_fake -0.011602
[256/5000][240/535][26113] Loss_D: -0.031604 Loss_G: 0.008367 Loss_D_real: -0.016301 Loss_D_fake 0.015303
[256/5000][245/535][26114] Loss_D: -0.033031 Loss_G: 0.001326 Loss_D_real: -0.015304 Loss_D_fake 0.017727
[256/5000][250/535][26115] Loss_D: -0.032220 Loss_G: 0.013133 Loss_D_real: -0.009841 Loss_D_fake 0.022379
[256/5000][255/535][26116] Loss_D: -0.034728 Loss_G: -0.000120 Loss_D_real: -0.014357 Loss_D_fake 0.020371
[256/5000][260/535][26117] Loss_D: -0.033356 Loss_G: 0.027617 Loss_D_real: -0.038343 Loss_D_fake -0.004987
[256/5000][265/535][26118] Loss_D: -0.034625 Loss_G: 0.006791 Loss_D_real: -0.013530 Loss_D_fake 0.021094
[256/5000][270/535][26119] Loss_D: -0.034409 Loss_G: 0.005857 Loss_D_real: -0.016267 Loss_D_fake 0.018142
[256/5000][275/535][26120] Loss_D: -0.030472 Loss_G: 0.033604 Loss_D_real: -0.042708 Loss_D_fake -0.012236
[256/5000][280/535][26121] Loss_D: -0.033353 Loss_G: 0.020261 Loss_D_real: -0.020901 Loss_D_fake 0.012452
[256/5000][285/535][26122] Loss_D: -0.033289 Loss_G: 0.028699 Loss_D_real: -0.026421 Loss_D_fake 0.006868
[256/5000][290/535][26123] Loss_D: -0.034127 Loss_G: 0.023792 Loss_D_real: -0.030149 Loss_D_fake 0.003978
[256/5000][295/535][26124] Loss_D: -0.034150 Loss_G: 0.013483 Loss_D_real: -0.014793 Loss_D_fake 0.019356
[256/5000][300/535][26125] Loss_D: -0.034198 Loss_G: 0.017986 Loss_D_real: -0.026706 Loss_D_fake 0.007492
[256/5000][305/535][26126] Loss_D: -0.035165 Loss_G: 0.022616 Loss_D_real: -0.024701 Loss_D_fake 0.010464
[256/5000][310/535][26127] Loss_D: -0.034494 Loss_G: 0.022825 Loss_D_real: -0.026059 Loss_D_fake 0.008435
[256/5000][315/535][26128] Loss_D: -0.034039 Loss_G: 0.036293 Loss_D_real: -0.032470 Loss_D_fake 0.001568
[256/5000][320/535][26129] Loss_D: -0.033243 Loss_G: 0.003572 Loss_D_real: -0.007514 Loss_D_fake 0.025729
[256/5000][325/535][26130] Loss_D: -0.031876 Loss_G: 0.033757 Loss_D_real: -0.034509 Loss_D_fake -0.002633
[256/5000][330/535][26131] Loss_D: -0.034881 Loss_G: 0.010368 Loss_D_real: -0.017689 Loss_D_fake 0.017192
[256/5000][335/535][26132] Loss_D: -0.035869 Loss_G: 0.008598 Loss_D_real: -0.019381 Loss_D_fake 0.016488
[256/5000][340/535][26133] Loss_D: -0.034366 Loss_G: 0.003047 Loss_D_real: -0.019312 Loss_D_fake 0.015053
[256/5000][345/535][26134] Loss_D: -0.033672 Loss_G: 0.028614 Loss_D_real: -0.027863 Loss_D_fake 0.005810
[256/5000][350/535][26135] Loss_D: -0.034431 Loss_G: 0.035964 Loss_D_real: -0.036582 Loss_D_fake -0.002151
[256/5000][355/535][26136] Loss_D: -0.035353 Loss_G: 0.011551 Loss_D_real: -0.024802 Loss_D_fake 0.010551
[256/5000][360/535][26137] Loss_D: -0.036128 Loss_G: 0.007962 Loss_D_real: -0.023809 Loss_D_fake 0.012319
[256/5000][365/535][26138] Loss_D: -0.032879 Loss_G: 0.036866 Loss_D_real: -0.040097 Loss_D_fake -0.007218
[256/5000][370/535][26139] Loss_D: -0.033259 Loss_G: -0.015480 Loss_D_real: -0.003553 Loss_D_fake 0.029706
[256/5000][375/535][26140] Loss_D: -0.033159 Loss_G: 0.021819 Loss_D_real: -0.028167 Loss_D_fake 0.004993
[256/5000][380/535][26141] Loss_D: -0.033179 Loss_G: 0.026473 Loss_D_real: -0.034763 Loss_D_fake -0.001583
[256/5000][385/535][26142] Loss_D: -0.033841 Loss_G: -0.010296 Loss_D_real: 0.002678 Loss_D_fake 0.036518
[256/5000][390/535][26143] Loss_D: -0.034662 Loss_G: 0.026914 Loss_D_real: -0.025482 Loss_D_fake 0.009180
[256/5000][395/535][26144] Loss_D: -0.034306 Loss_G: 0.013830 Loss_D_real: -0.021453 Loss_D_fake 0.012853
[256/5000][400/535][26145] Loss_D: -0.034440 Loss_G: 0.012488 Loss_D_real: -0.018962 Loss_D_fake 0.015477
[256/5000][405/535][26146] Loss_D: -0.032780 Loss_G: -0.011463 Loss_D_real: -0.006450 Loss_D_fake 0.026330
[256/5000][410/535][26147] Loss_D: -0.032475 Loss_G: 0.038156 Loss_D_real: -0.042168 Loss_D_fake -0.009693
[256/5000][415/535][26148] Loss_D: -0.032349 Loss_G: -0.006295 Loss_D_real: -0.003415 Loss_D_fake 0.028934
[256/5000][420/535][26149] Loss_D: -0.033471 Loss_G: 0.013953 Loss_D_real: -0.023222 Loss_D_fake 0.010250
[256/5000][425/535][26150] Loss_D: -0.033070 Loss_G: 0.017498 Loss_D_real: -0.026633 Loss_D_fake 0.006437
[256/5000][430/535][26151] Loss_D: -0.031835 Loss_G: 0.009909 Loss_D_real: -0.020122 Loss_D_fake 0.011713
[256/5000][435/535][26152] Loss_D: -0.033167 Loss_G: 0.021032 Loss_D_real: -0.024451 Loss_D_fake 0.008716
[256/5000][440/535][26153] Loss_D: -0.033943 Loss_G: 0.015314 Loss_D_real: -0.012241 Loss_D_fake 0.021701
[256/5000][445/535][26154] Loss_D: -0.033900 Loss_G: 0.007872 Loss_D_real: -0.012248 Loss_D_fake 0.021652
[256/5000][450/535][26155] Loss_D: -0.033396 Loss_G: 0.011407 Loss_D_real: -0.020765 Loss_D_fake 0.012631
[256/5000][455/535][26156] Loss_D: -0.031951 Loss_G: 0.038677 Loss_D_real: -0.030530 Loss_D_fake 0.001422
[256/5000][460/535][26157] Loss_D: -0.034442 Loss_G: 0.004702 Loss_D_real: -0.010247 Loss_D_fake 0.024194
[256/5000][465/535][26158] Loss_D: -0.032567 Loss_G: 0.009552 Loss_D_real: -0.023403 Loss_D_fake 0.009164
[256/5000][470/535][26159] Loss_D: -0.033127 Loss_G: 0.000409 Loss_D_real: -0.016962 Loss_D_fake 0.016165
[256/5000][475/535][26160] Loss_D: -0.032175 Loss_G: 0.022503 Loss_D_real: -0.035005 Loss_D_fake -0.002830
[256/5000][480/535][26161] Loss_D: -0.034524 Loss_G: 0.002241 Loss_D_real: -0.020101 Loss_D_fake 0.014423
[256/5000][485/535][26162] Loss_D: -0.033526 Loss_G: 0.033176 Loss_D_real: -0.033182 Loss_D_fake 0.000344
[256/5000][490/535][26163] Loss_D: -0.034820 Loss_G: 0.016500 Loss_D_real: -0.017905 Loss_D_fake 0.016915
[256/5000][495/535][26164] Loss_D: -0.032736 Loss_G: 0.024314 Loss_D_real: -0.025626 Loss_D_fake 0.007110
[256/5000][500/535][26165] Loss_D: -0.031823 Loss_G: -0.015938 Loss_D_real: -0.004948 Loss_D_fake 0.026875
[256/5000][505/535][26166] Loss_D: -0.032011 Loss_G: 0.034300 Loss_D_real: -0.039923 Loss_D_fake -0.007912
[256/5000][510/535][26167] Loss_D: -0.032048 Loss_G: 0.019855 Loss_D_real: -0.029132 Loss_D_fake 0.002915
[256/5000][515/535][26168] Loss_D: -0.035517 Loss_G: 0.008951 Loss_D_real: -0.017890 Loss_D_fake 0.017627
[256/5000][520/535][26169] Loss_D: -0.032759 Loss_G: 0.012046 Loss_D_real: -0.020157 Loss_D_fake 0.012602
[256/5000][525/535][26170] Loss_D: -0.032875 Loss_G: -0.007423 Loss_D_real: -0.007047 Loss_D_fake 0.025828
[256/5000][530/535][26171] Loss_D: -0.030842 Loss_G: 0.029534 Loss_D_real: -0.031732 Loss_D_fake -0.000890
[256/5000][535/535][26172] Loss_D: -0.035130 Loss_G: 0.008497 Loss_D_real: -0.024427 Loss_D_fake 0.010703
[257/5000][5/535][26173] Loss_D: -0.033396 Loss_G: 0.005109 Loss_D_real: -0.017866 Loss_D_fake 0.015530
[257/5000][10/535][26174] Loss_D: -0.033496 Loss_G: 0.027895 Loss_D_real: -0.027150 Loss_D_fake 0.006346
[257/5000][15/535][26175] Loss_D: -0.033729 Loss_G: 0.018679 Loss_D_real: -0.026835 Loss_D_fake 0.006894
[257/5000][20/535][26176] Loss_D: -0.034539 Loss_G: 0.005517 Loss_D_real: -0.012659 Loss_D_fake 0.021880
[257/5000][25/535][26177] Loss_D: -0.034491 Loss_G: 0.032970 Loss_D_real: -0.026276 Loss_D_fake 0.008214
[257/5000][30/535][26178] Loss_D: -0.034322 Loss_G: 0.004597 Loss_D_real: -0.013072 Loss_D_fake 0.021249
[257/5000][35/535][26179] Loss_D: -0.034449 Loss_G: 0.019129 Loss_D_real: -0.017916 Loss_D_fake 0.016534
[257/5000][40/535][26180] Loss_D: -0.035326 Loss_G: 0.016979 Loss_D_real: -0.017515 Loss_D_fake 0.017812
[257/5000][45/535][26181] Loss_D: -0.032903 Loss_G: 0.036142 Loss_D_real: -0.045002 Loss_D_fake -0.012099
[257/5000][50/535][26182] Loss_D: -0.034219 Loss_G: 0.021532 Loss_D_real: -0.018059 Loss_D_fake 0.016159
[257/5000][55/535][26183] Loss_D: -0.032556 Loss_G: 0.038054 Loss_D_real: -0.042183 Loss_D_fake -0.009627
[257/5000][60/535][26184] Loss_D: -0.034569 Loss_G: 0.009823 Loss_D_real: -0.014819 Loss_D_fake 0.019750
[257/5000][65/535][26185] Loss_D: -0.032524 Loss_G: 0.035617 Loss_D_real: -0.030424 Loss_D_fake 0.002100
[257/5000][70/535][26186] Loss_D: -0.034810 Loss_G: -0.008406 Loss_D_real: -0.011036 Loss_D_fake 0.023774
[257/5000][75/535][26187] Loss_D: -0.033135 Loss_G: 0.030580 Loss_D_real: -0.037939 Loss_D_fake -0.004804
[257/5000][80/535][26188] Loss_D: -0.032626 Loss_G: 0.015852 Loss_D_real: -0.028737 Loss_D_fake 0.003889
[257/5000][85/535][26189] Loss_D: -0.033695 Loss_G: 0.018336 Loss_D_real: -0.027815 Loss_D_fake 0.005880
[257/5000][90/535][26190] Loss_D: -0.033099 Loss_G: 0.018988 Loss_D_real: -0.032547 Loss_D_fake 0.000552
[257/5000][95/535][26191] Loss_D: -0.032305 Loss_G: 0.032869 Loss_D_real: -0.034590 Loss_D_fake -0.002285
[257/5000][100/535][26192] Loss_D: -0.034559 Loss_G: -0.004392 Loss_D_real: -0.010873 Loss_D_fake 0.023686
[257/5000][105/535][26193] Loss_D: -0.033122 Loss_G: 0.014237 Loss_D_real: -0.022943 Loss_D_fake 0.010179
[257/5000][110/535][26194] Loss_D: -0.032684 Loss_G: 0.020470 Loss_D_real: -0.025961 Loss_D_fake 0.006723
[257/5000][115/535][26195] Loss_D: -0.034743 Loss_G: 0.021694 Loss_D_real: -0.025346 Loss_D_fake 0.009398
[257/5000][120/535][26196] Loss_D: -0.031142 Loss_G: 0.024434 Loss_D_real: -0.029925 Loss_D_fake 0.001217
[257/5000][125/535][26197] Loss_D: -0.032823 Loss_G: 0.030131 Loss_D_real: -0.032608 Loss_D_fake 0.000215
[257/5000][130/535][26198] Loss_D: -0.033300 Loss_G: 0.013733 Loss_D_real: -0.011203 Loss_D_fake 0.022097
[257/5000][135/535][26199] Loss_D: -0.033673 Loss_G: 0.018686 Loss_D_real: -0.016076 Loss_D_fake 0.017597
[257/5000][140/535][26200] Loss_D: -0.033591 Loss_G: -0.003928 Loss_D_real: -0.007900 Loss_D_fake 0.025691
[257/5000][145/535][26201] Loss_D: -0.033314 Loss_G: 0.035860 Loss_D_real: -0.036909 Loss_D_fake -0.003595
[257/5000][150/535][26202] Loss_D: -0.034065 Loss_G: 0.004880 Loss_D_real: -0.017101 Loss_D_fake 0.016964
[257/5000][155/535][26203] Loss_D: -0.033574 Loss_G: 0.033739 Loss_D_real: -0.030965 Loss_D_fake 0.002609
[257/5000][160/535][26204] Loss_D: -0.032476 Loss_G: 0.025851 Loss_D_real: -0.027017 Loss_D_fake 0.005459
[257/5000][165/535][26205] Loss_D: -0.033860 Loss_G: 0.028153 Loss_D_real: -0.028931 Loss_D_fake 0.004929
[257/5000][170/535][26206] Loss_D: -0.034450 Loss_G: 0.003338 Loss_D_real: -0.019968 Loss_D_fake 0.014483
[257/5000][175/535][26207] Loss_D: -0.032137 Loss_G: 0.031759 Loss_D_real: -0.039749 Loss_D_fake -0.007612
[257/5000][180/535][26208] Loss_D: -0.035126 Loss_G: 0.020075 Loss_D_real: -0.027292 Loss_D_fake 0.007834
[257/5000][185/535][26209] Loss_D: -0.034111 Loss_G: 0.003297 Loss_D_real: -0.009167 Loss_D_fake 0.024944
[257/5000][190/535][26210] Loss_D: -0.034526 Loss_G: 0.022525 Loss_D_real: -0.027371 Loss_D_fake 0.007155
[257/5000][195/535][26211] Loss_D: -0.034263 Loss_G: 0.020929 Loss_D_real: -0.021260 Loss_D_fake 0.013004
[257/5000][200/535][26212] Loss_D: -0.033644 Loss_G: 0.011334 Loss_D_real: -0.026409 Loss_D_fake 0.007234
[257/5000][205/535][26213] Loss_D: -0.032477 Loss_G: -0.012594 Loss_D_real: 0.002736 Loss_D_fake 0.035213
[257/5000][210/535][26214] Loss_D: -0.033226 Loss_G: 0.032933 Loss_D_real: -0.039487 Loss_D_fake -0.006261
[257/5000][215/535][26215] Loss_D: -0.034602 Loss_G: 0.015776 Loss_D_real: -0.020365 Loss_D_fake 0.014237
[257/5000][220/535][26216] Loss_D: -0.033142 Loss_G: 0.007876 Loss_D_real: -0.015314 Loss_D_fake 0.017828
[257/5000][225/535][26217] Loss_D: -0.033471 Loss_G: 0.034918 Loss_D_real: -0.032557 Loss_D_fake 0.000914
[257/5000][230/535][26218] Loss_D: -0.032584 Loss_G: 0.006468 Loss_D_real: -0.022004 Loss_D_fake 0.010579
[257/5000][235/535][26219] Loss_D: -0.034412 Loss_G: 0.020134 Loss_D_real: -0.026274 Loss_D_fake 0.008138
[257/5000][240/535][26220] Loss_D: -0.032605 Loss_G: 0.032963 Loss_D_real: -0.028874 Loss_D_fake 0.003731
[257/5000][245/535][26221] Loss_D: -0.035114 Loss_G: 0.008188 Loss_D_real: -0.022611 Loss_D_fake 0.012503
[257/5000][250/535][26222] Loss_D: -0.032877 Loss_G: 0.025149 Loss_D_real: -0.027385 Loss_D_fake 0.005492
[257/5000][255/535][26223] Loss_D: -0.034474 Loss_G: 0.029572 Loss_D_real: -0.027444 Loss_D_fake 0.007029
[257/5000][260/535][26224] Loss_D: -0.032994 Loss_G: 0.012699 Loss_D_real: -0.014901 Loss_D_fake 0.018092
[257/5000][265/535][26225] Loss_D: -0.033669 Loss_G: 0.008277 Loss_D_real: -0.020820 Loss_D_fake 0.012849
[257/5000][270/535][26226] Loss_D: -0.034867 Loss_G: 0.026390 Loss_D_real: -0.030621 Loss_D_fake 0.004246
[257/5000][275/535][26227] Loss_D: -0.035693 Loss_G: 0.030631 Loss_D_real: -0.030176 Loss_D_fake 0.005517
[257/5000][280/535][26228] Loss_D: -0.035202 Loss_G: -0.000228 Loss_D_real: -0.015665 Loss_D_fake 0.019538
[257/5000][285/535][26229] Loss_D: -0.034304 Loss_G: 0.015902 Loss_D_real: -0.024279 Loss_D_fake 0.010025
[257/5000][290/535][26230] Loss_D: -0.035368 Loss_G: 0.022696 Loss_D_real: -0.031749 Loss_D_fake 0.003619
[257/5000][295/535][26231] Loss_D: -0.034190 Loss_G: 0.039849 Loss_D_real: -0.033070 Loss_D_fake 0.001121
[257/5000][300/535][26232] Loss_D: -0.033452 Loss_G: 0.006442 Loss_D_real: -0.009969 Loss_D_fake 0.023482
[257/5000][305/535][26233] Loss_D: -0.035000 Loss_G: -0.014692 Loss_D_real: -0.009779 Loss_D_fake 0.025221
[257/5000][310/535][26234] Loss_D: -0.034342 Loss_G: 0.027583 Loss_D_real: -0.031928 Loss_D_fake 0.002414
[257/5000][315/535][26235] Loss_D: -0.035257 Loss_G: 0.021036 Loss_D_real: -0.018513 Loss_D_fake 0.016744
[257/5000][320/535][26236] Loss_D: -0.034477 Loss_G: 0.004932 Loss_D_real: -0.012690 Loss_D_fake 0.021787
[257/5000][325/535][26237] Loss_D: -0.034307 Loss_G: 0.037233 Loss_D_real: -0.039230 Loss_D_fake -0.004923
[257/5000][330/535][26238] Loss_D: -0.033615 Loss_G: 0.013505 Loss_D_real: -0.016912 Loss_D_fake 0.016703
[257/5000][335/535][26239] Loss_D: -0.034739 Loss_G: 0.031763 Loss_D_real: -0.031547 Loss_D_fake 0.003193
[257/5000][340/535][26240] Loss_D: -0.033300 Loss_G: 0.001914 Loss_D_real: -0.016112 Loss_D_fake 0.017188
[257/5000][345/535][26241] Loss_D: -0.032781 Loss_G: 0.007299 Loss_D_real: -0.019168 Loss_D_fake 0.013613
[257/5000][350/535][26242] Loss_D: -0.033657 Loss_G: 0.021609 Loss_D_real: -0.021386 Loss_D_fake 0.012271
[257/5000][355/535][26243] Loss_D: -0.034320 Loss_G: 0.019800 Loss_D_real: -0.022466 Loss_D_fake 0.011854
[257/5000][360/535][26244] Loss_D: -0.034499 Loss_G: 0.028764 Loss_D_real: -0.028510 Loss_D_fake 0.005989
[257/5000][365/535][26245] Loss_D: -0.033164 Loss_G: 0.022239 Loss_D_real: -0.034924 Loss_D_fake -0.001760
[257/5000][370/535][26246] Loss_D: -0.029545 Loss_G: -0.020142 Loss_D_real: 0.009549 Loss_D_fake 0.039094
[257/5000][375/535][26247] Loss_D: -0.032309 Loss_G: 0.029654 Loss_D_real: -0.037234 Loss_D_fake -0.004924
[257/5000][380/535][26248] Loss_D: -0.033488 Loss_G: -0.001817 Loss_D_real: -0.015599 Loss_D_fake 0.017889
[257/5000][385/535][26249] Loss_D: -0.033995 Loss_G: 0.026936 Loss_D_real: -0.028667 Loss_D_fake 0.005328
[257/5000][390/535][26250] Loss_D: -0.034169 Loss_G: 0.019610 Loss_D_real: -0.018813 Loss_D_fake 0.015356
[257/5000][395/535][26251] Loss_D: -0.032623 Loss_G: 0.026355 Loss_D_real: -0.026001 Loss_D_fake 0.006622
[257/5000][400/535][26252] Loss_D: -0.033160 Loss_G: 0.016293 Loss_D_real: -0.024853 Loss_D_fake 0.008306
[257/5000][405/535][26253] Loss_D: -0.030664 Loss_G: 0.037662 Loss_D_real: -0.041256 Loss_D_fake -0.010592
[257/5000][410/535][26254] Loss_D: -0.033283 Loss_G: -0.005157 Loss_D_real: -0.004573 Loss_D_fake 0.028710
[257/5000][415/535][26255] Loss_D: -0.032284 Loss_G: 0.034655 Loss_D_real: -0.035871 Loss_D_fake -0.003588
[257/5000][420/535][26256] Loss_D: -0.033750 Loss_G: 0.003865 Loss_D_real: -0.013481 Loss_D_fake 0.020270
[257/5000][425/535][26257] Loss_D: -0.032664 Loss_G: 0.030717 Loss_D_real: -0.040325 Loss_D_fake -0.007661
[257/5000][430/535][26258] Loss_D: -0.033967 Loss_G: 0.002023 Loss_D_real: -0.015485 Loss_D_fake 0.018481
[257/5000][435/535][26259] Loss_D: -0.034029 Loss_G: 0.019167 Loss_D_real: -0.024895 Loss_D_fake 0.009134
[257/5000][440/535][26260] Loss_D: -0.032817 Loss_G: 0.038519 Loss_D_real: -0.034986 Loss_D_fake -0.002169
[257/5000][445/535][26261] Loss_D: -0.033377 Loss_G: 0.013443 Loss_D_real: -0.025277 Loss_D_fake 0.008100
[257/5000][450/535][26262] Loss_D: -0.034540 Loss_G: 0.030228 Loss_D_real: -0.024966 Loss_D_fake 0.009573
[257/5000][455/535][26263] Loss_D: -0.033447 Loss_G: 0.010202 Loss_D_real: -0.013541 Loss_D_fake 0.019905
[257/5000][460/535][26264] Loss_D: -0.033078 Loss_G: 0.015982 Loss_D_real: -0.024783 Loss_D_fake 0.008296
[257/5000][465/535][26265] Loss_D: -0.034456 Loss_G: 0.019227 Loss_D_real: -0.019855 Loss_D_fake 0.014602
[257/5000][470/535][26266] Loss_D: -0.031671 Loss_G: 0.027309 Loss_D_real: -0.038811 Loss_D_fake -0.007140
[257/5000][475/535][26267] Loss_D: -0.033373 Loss_G: -0.007756 Loss_D_real: -0.001906 Loss_D_fake 0.031467
[257/5000][480/535][26268] Loss_D: -0.034923 Loss_G: 0.020662 Loss_D_real: -0.033707 Loss_D_fake 0.001215
[257/5000][485/535][26269] Loss_D: -0.033709 Loss_G: 0.028936 Loss_D_real: -0.034226 Loss_D_fake -0.000516
[257/5000][490/535][26270] Loss_D: -0.035452 Loss_G: 0.028444 Loss_D_real: -0.025178 Loss_D_fake 0.010274
[257/5000][495/535][26271] Loss_D: -0.030238 Loss_G: -0.009746 Loss_D_real: -0.004330 Loss_D_fake 0.025908
[257/5000][500/535][26272] Loss_D: -0.031915 Loss_G: 0.016544 Loss_D_real: -0.015581 Loss_D_fake 0.016334
[257/5000][505/535][26273] Loss_D: -0.032264 Loss_G: 0.033941 Loss_D_real: -0.028183 Loss_D_fake 0.004080
[257/5000][510/535][26274] Loss_D: -0.035094 Loss_G: 0.010339 Loss_D_real: -0.027557 Loss_D_fake 0.007538
[257/5000][515/535][26275] Loss_D: -0.034011 Loss_G: 0.030904 Loss_D_real: -0.027702 Loss_D_fake 0.006309
[257/5000][520/535][26276] Loss_D: -0.033228 Loss_G: 0.019721 Loss_D_real: -0.026585 Loss_D_fake 0.006642
[257/5000][525/535][26277] Loss_D: -0.034537 Loss_G: 0.009554 Loss_D_real: -0.013013 Loss_D_fake 0.021523
[257/5000][530/535][26278] Loss_D: -0.033396 Loss_G: 0.029646 Loss_D_real: -0.031661 Loss_D_fake 0.001735
[257/5000][535/535][26279] Loss_D: -0.035156 Loss_G: -0.005760 Loss_D_real: -0.011501 Loss_D_fake 0.023655
[258/5000][5/535][26280] Loss_D: -0.032199 Loss_G: 0.034123 Loss_D_real: -0.031368 Loss_D_fake 0.000830
[258/5000][10/535][26281] Loss_D: -0.034537 Loss_G: 0.018336 Loss_D_real: -0.029828 Loss_D_fake 0.004710
[258/5000][15/535][26282] Loss_D: -0.033550 Loss_G: -0.001037 Loss_D_real: -0.006612 Loss_D_fake 0.026938
[258/5000][20/535][26283] Loss_D: -0.032179 Loss_G: 0.027294 Loss_D_real: -0.034378 Loss_D_fake -0.002199
[258/5000][25/535][26284] Loss_D: -0.033083 Loss_G: 0.030552 Loss_D_real: -0.033447 Loss_D_fake -0.000364
[258/5000][30/535][26285] Loss_D: -0.035013 Loss_G: 0.025920 Loss_D_real: -0.027225 Loss_D_fake 0.007789
[258/5000][35/535][26286] Loss_D: -0.034014 Loss_G: 0.013987 Loss_D_real: -0.012872 Loss_D_fake 0.021141
[258/5000][40/535][26287] Loss_D: -0.033360 Loss_G: -0.011452 Loss_D_real: -0.008871 Loss_D_fake 0.024489
[258/5000][45/535][26288] Loss_D: -0.031602 Loss_G: 0.034149 Loss_D_real: -0.034039 Loss_D_fake -0.002437
[258/5000][50/535][26289] Loss_D: -0.033628 Loss_G: 0.012151 Loss_D_real: -0.017193 Loss_D_fake 0.016435
[258/5000][55/535][26290] Loss_D: -0.035145 Loss_G: 0.000651 Loss_D_real: -0.017261 Loss_D_fake 0.017884
[258/5000][60/535][26291] Loss_D: -0.034281 Loss_G: 0.034635 Loss_D_real: -0.032749 Loss_D_fake 0.001532
[258/5000][65/535][26292] Loss_D: -0.034629 Loss_G: 0.004569 Loss_D_real: -0.016825 Loss_D_fake 0.017804
[258/5000][70/535][26293] Loss_D: -0.032890 Loss_G: 0.030831 Loss_D_real: -0.036600 Loss_D_fake -0.003710
[258/5000][75/535][26294] Loss_D: -0.031984 Loss_G: 0.022210 Loss_D_real: -0.025089 Loss_D_fake 0.006896
[258/5000][80/535][26295] Loss_D: -0.034568 Loss_G: 0.009680 Loss_D_real: -0.020112 Loss_D_fake 0.014456
[258/5000][85/535][26296] Loss_D: -0.033750 Loss_G: 0.010498 Loss_D_real: -0.019283 Loss_D_fake 0.014467
[258/5000][90/535][26297] Loss_D: -0.034933 Loss_G: 0.015522 Loss_D_real: -0.021804 Loss_D_fake 0.013130
[258/5000][95/535][26298] Loss_D: -0.033705 Loss_G: 0.033471 Loss_D_real: -0.038765 Loss_D_fake -0.005060
[258/5000][100/535][26299] Loss_D: -0.033384 Loss_G: 0.039315 Loss_D_real: -0.037806 Loss_D_fake -0.004421
[258/5000][105/535][26300] Loss_D: -0.032186 Loss_G: 0.001099 Loss_D_real: -0.002182 Loss_D_fake 0.030004
[258/5000][110/535][26301] Loss_D: -0.032869 Loss_G: 0.039460 Loss_D_real: -0.042458 Loss_D_fake -0.009589
[258/5000][115/535][26302] Loss_D: -0.033422 Loss_G: 0.006078 Loss_D_real: -0.008706 Loss_D_fake 0.024717
[258/5000][120/535][26303] Loss_D: -0.032226 Loss_G: 0.024504 Loss_D_real: -0.025923 Loss_D_fake 0.006303
[258/5000][125/535][26304] Loss_D: -0.032666 Loss_G: 0.023251 Loss_D_real: -0.028631 Loss_D_fake 0.004035
[258/5000][130/535][26305] Loss_D: -0.034444 Loss_G: 0.016960 Loss_D_real: -0.016647 Loss_D_fake 0.017796
[258/5000][135/535][26306] Loss_D: -0.035445 Loss_G: 0.032292 Loss_D_real: -0.029755 Loss_D_fake 0.005690
[258/5000][140/535][26307] Loss_D: -0.031504 Loss_G: -0.005719 Loss_D_real: -0.000418 Loss_D_fake 0.031085
[258/5000][145/535][26308] Loss_D: -0.034184 Loss_G: 0.008713 Loss_D_real: -0.015325 Loss_D_fake 0.018859
[258/5000][150/535][26309] Loss_D: -0.034007 Loss_G: 0.008570 Loss_D_real: -0.022430 Loss_D_fake 0.011577
[258/5000][155/535][26310] Loss_D: -0.034745 Loss_G: 0.016634 Loss_D_real: -0.017017 Loss_D_fake 0.017728
[258/5000][160/535][26311] Loss_D: -0.034357 Loss_G: 0.015276 Loss_D_real: -0.014719 Loss_D_fake 0.019639
[258/5000][165/535][26312] Loss_D: -0.034840 Loss_G: 0.004780 Loss_D_real: -0.013708 Loss_D_fake 0.021131
[258/5000][170/535][26313] Loss_D: -0.034343 Loss_G: 0.012780 Loss_D_real: -0.023909 Loss_D_fake 0.010433
[258/5000][175/535][26314] Loss_D: -0.034646 Loss_G: 0.033628 Loss_D_real: -0.034919 Loss_D_fake -0.000272
[258/5000][180/535][26315] Loss_D: -0.034523 Loss_G: -0.001699 Loss_D_real: -0.013461 Loss_D_fake 0.021062
[258/5000][185/535][26316] Loss_D: -0.032905 Loss_G: 0.020188 Loss_D_real: -0.034836 Loss_D_fake -0.001931
[258/5000][190/535][26317] Loss_D: -0.034467 Loss_G: 0.020591 Loss_D_real: -0.030056 Loss_D_fake 0.004411
[258/5000][195/535][26318] Loss_D: -0.033561 Loss_G: -0.013172 Loss_D_real: -0.000895 Loss_D_fake 0.032666
[258/5000][200/535][26319] Loss_D: -0.032809 Loss_G: 0.034874 Loss_D_real: -0.036419 Loss_D_fake -0.003610
[258/5000][205/535][26320] Loss_D: -0.032632 Loss_G: 0.008956 Loss_D_real: -0.013117 Loss_D_fake 0.019515
[258/5000][210/535][26321] Loss_D: -0.033614 Loss_G: 0.009485 Loss_D_real: -0.025409 Loss_D_fake 0.008204
[258/5000][215/535][26322] Loss_D: -0.033799 Loss_G: 0.014083 Loss_D_real: -0.016089 Loss_D_fake 0.017710
[258/5000][220/535][26323] Loss_D: -0.032139 Loss_G: 0.041811 Loss_D_real: -0.039226 Loss_D_fake -0.007087
[258/5000][225/535][26324] Loss_D: -0.032028 Loss_G: 0.002608 Loss_D_real: -0.013952 Loss_D_fake 0.018075
[258/5000][230/535][26325] Loss_D: -0.033616 Loss_G: 0.021515 Loss_D_real: -0.029622 Loss_D_fake 0.003994
[258/5000][235/535][26326] Loss_D: -0.032927 Loss_G: -0.013161 Loss_D_real: -0.004368 Loss_D_fake 0.028559
[258/5000][240/535][26327] Loss_D: -0.031951 Loss_G: 0.034229 Loss_D_real: -0.036809 Loss_D_fake -0.004858
[258/5000][245/535][26328] Loss_D: -0.032804 Loss_G: 0.003743 Loss_D_real: -0.014739 Loss_D_fake 0.018066
[258/5000][250/535][26329] Loss_D: -0.032477 Loss_G: 0.018193 Loss_D_real: -0.027080 Loss_D_fake 0.005397
[258/5000][255/535][26330] Loss_D: -0.033022 Loss_G: 0.038777 Loss_D_real: -0.036942 Loss_D_fake -0.003919
[258/5000][260/535][26331] Loss_D: -0.032572 Loss_G: 0.009692 Loss_D_real: -0.012687 Loss_D_fake 0.019885
[258/5000][265/535][26332] Loss_D: -0.034207 Loss_G: 0.026092 Loss_D_real: -0.025219 Loss_D_fake 0.008988
[258/5000][270/535][26333] Loss_D: -0.031299 Loss_G: 0.031339 Loss_D_real: -0.029610 Loss_D_fake 0.001689
[258/5000][275/535][26334] Loss_D: -0.033945 Loss_G: 0.024611 Loss_D_real: -0.023698 Loss_D_fake 0.010247
[258/5000][280/535][26335] Loss_D: -0.032493 Loss_G: 0.010844 Loss_D_real: -0.016573 Loss_D_fake 0.015920
[258/5000][285/535][26336] Loss_D: -0.034342 Loss_G: 0.037855 Loss_D_real: -0.033256 Loss_D_fake 0.001086
[258/5000][290/535][26337] Loss_D: -0.033610 Loss_G: 0.004541 Loss_D_real: -0.008474 Loss_D_fake 0.025137
[258/5000][295/535][26338] Loss_D: -0.035611 Loss_G: 0.024085 Loss_D_real: -0.019915 Loss_D_fake 0.015696
[258/5000][300/535][26339] Loss_D: -0.033851 Loss_G: 0.024626 Loss_D_real: -0.021489 Loss_D_fake 0.012362
[258/5000][305/535][26340] Loss_D: -0.034981 Loss_G: 0.003977 Loss_D_real: -0.014893 Loss_D_fake 0.020088
[258/5000][310/535][26341] Loss_D: -0.034592 Loss_G: 0.034903 Loss_D_real: -0.031281 Loss_D_fake 0.003311
[258/5000][315/535][26342] Loss_D: -0.032567 Loss_G: -0.011691 Loss_D_real: -0.007288 Loss_D_fake 0.025279
[258/5000][320/535][26343] Loss_D: -0.031073 Loss_G: 0.037730 Loss_D_real: -0.041570 Loss_D_fake -0.010497
[258/5000][325/535][26344] Loss_D: -0.035520 Loss_G: 0.003389 Loss_D_real: -0.017236 Loss_D_fake 0.018284
[258/5000][330/535][26345] Loss_D: -0.033948 Loss_G: 0.028450 Loss_D_real: -0.031917 Loss_D_fake 0.002030
[258/5000][335/535][26346] Loss_D: -0.033826 Loss_G: 0.029302 Loss_D_real: -0.029939 Loss_D_fake 0.003888
[258/5000][340/535][26347] Loss_D: -0.034793 Loss_G: 0.023996 Loss_D_real: -0.027743 Loss_D_fake 0.007050
[258/5000][345/535][26348] Loss_D: -0.035216 Loss_G: 0.010354 Loss_D_real: -0.017603 Loss_D_fake 0.017613
[258/5000][350/535][26349] Loss_D: -0.033391 Loss_G: 0.021103 Loss_D_real: -0.027359 Loss_D_fake 0.006033
[258/5000][355/535][26350] Loss_D: -0.032370 Loss_G: 0.024286 Loss_D_real: -0.028755 Loss_D_fake 0.003615
[258/5000][360/535][26351] Loss_D: -0.033963 Loss_G: 0.019015 Loss_D_real: -0.028432 Loss_D_fake 0.005531
[258/5000][365/535][26352] Loss_D: -0.033416 Loss_G: 0.015990 Loss_D_real: -0.021094 Loss_D_fake 0.012322
[258/5000][370/535][26353] Loss_D: -0.035032 Loss_G: 0.005249 Loss_D_real: -0.018584 Loss_D_fake 0.016448
[258/5000][375/535][26354] Loss_D: -0.033946 Loss_G: 0.018229 Loss_D_real: -0.025415 Loss_D_fake 0.008531
[258/5000][380/535][26355] Loss_D: -0.032701 Loss_G: 0.023566 Loss_D_real: -0.025504 Loss_D_fake 0.007198
[258/5000][385/535][26356] Loss_D: -0.032353 Loss_G: 0.029263 Loss_D_real: -0.035908 Loss_D_fake -0.003554
[258/5000][390/535][26357] Loss_D: -0.033803 Loss_G: 0.022395 Loss_D_real: -0.032325 Loss_D_fake 0.001478
[258/5000][395/535][26358] Loss_D: -0.033755 Loss_G: 0.012628 Loss_D_real: -0.022440 Loss_D_fake 0.011315
[258/5000][400/535][26359] Loss_D: -0.033263 Loss_G: 0.022039 Loss_D_real: -0.026766 Loss_D_fake 0.006497
[258/5000][405/535][26360] Loss_D: -0.032212 Loss_G: 0.027816 Loss_D_real: -0.034043 Loss_D_fake -0.001832
[258/5000][410/535][26361] Loss_D: -0.032712 Loss_G: -0.006396 Loss_D_real: -0.011050 Loss_D_fake 0.021662
[258/5000][415/535][26362] Loss_D: -0.031929 Loss_G: 0.025573 Loss_D_real: -0.028595 Loss_D_fake 0.003334
[258/5000][420/535][26363] Loss_D: -0.032839 Loss_G: -0.008334 Loss_D_real: -0.009277 Loss_D_fake 0.023562
[258/5000][425/535][26364] Loss_D: -0.032534 Loss_G: 0.035111 Loss_D_real: -0.035901 Loss_D_fake -0.003367
[258/5000][430/535][26365] Loss_D: -0.033468 Loss_G: -0.003310 Loss_D_real: -0.011423 Loss_D_fake 0.022046
[258/5000][435/535][26366] Loss_D: -0.033364 Loss_G: 0.013462 Loss_D_real: -0.014852 Loss_D_fake 0.018512
[258/5000][440/535][26367] Loss_D: -0.033183 Loss_G: 0.038594 Loss_D_real: -0.039974 Loss_D_fake -0.006791
[258/5000][445/535][26368] Loss_D: -0.034077 Loss_G: 0.011907 Loss_D_real: -0.009027 Loss_D_fake 0.025050
[258/5000][450/535][26369] Loss_D: -0.033345 Loss_G: 0.023221 Loss_D_real: -0.022658 Loss_D_fake 0.010687
[258/5000][455/535][26370] Loss_D: -0.031917 Loss_G: -0.008098 Loss_D_real: -0.008378 Loss_D_fake 0.023539
[258/5000][460/535][26371] Loss_D: -0.032459 Loss_G: 0.016434 Loss_D_real: -0.028541 Loss_D_fake 0.003919
[258/5000][465/535][26372] Loss_D: -0.032309 Loss_G: 0.006590 Loss_D_real: -0.018219 Loss_D_fake 0.014090
[258/5000][470/535][26373] Loss_D: -0.033792 Loss_G: 0.040631 Loss_D_real: -0.033499 Loss_D_fake 0.000292
[258/5000][475/535][26374] Loss_D: -0.031750 Loss_G: 0.024964 Loss_D_real: -0.035160 Loss_D_fake -0.003410
[258/5000][480/535][26375] Loss_D: -0.032012 Loss_G: -0.012453 Loss_D_real: 0.001914 Loss_D_fake 0.033926
[258/5000][485/535][26376] Loss_D: -0.033519 Loss_G: 0.030727 Loss_D_real: -0.033683 Loss_D_fake -0.000163
[258/5000][490/535][26377] Loss_D: -0.032358 Loss_G: 0.032792 Loss_D_real: -0.037836 Loss_D_fake -0.005477
[258/5000][495/535][26378] Loss_D: -0.033342 Loss_G: 0.006158 Loss_D_real: -0.019723 Loss_D_fake 0.013619
[258/5000][500/535][26379] Loss_D: -0.034560 Loss_G: 0.004038 Loss_D_real: -0.007964 Loss_D_fake 0.026595
[258/5000][505/535][26380] Loss_D: -0.034970 Loss_G: 0.009882 Loss_D_real: -0.017731 Loss_D_fake 0.017239
[258/5000][510/535][26381] Loss_D: -0.034138 Loss_G: -0.001179 Loss_D_real: -0.007638 Loss_D_fake 0.026499
[258/5000][515/535][26382] Loss_D: -0.034518 Loss_G: 0.028373 Loss_D_real: -0.028804 Loss_D_fake 0.005714
[258/5000][520/535][26383] Loss_D: -0.034348 Loss_G: -0.003861 Loss_D_real: -0.010261 Loss_D_fake 0.024088
[258/5000][525/535][26384] Loss_D: -0.034315 Loss_G: 0.021311 Loss_D_real: -0.025535 Loss_D_fake 0.008780
[258/5000][530/535][26385] Loss_D: -0.034431 Loss_G: 0.006373 Loss_D_real: -0.016393 Loss_D_fake 0.018039
[258/5000][535/535][26386] Loss_D: -0.033118 Loss_G: 0.040304 Loss_D_real: -0.040634 Loss_D_fake -0.007517
[259/5000][5/535][26387] Loss_D: -0.036157 Loss_G: 0.033277 Loss_D_real: -0.022756 Loss_D_fake 0.013401
[259/5000][10/535][26388] Loss_D: -0.033184 Loss_G: -0.005612 Loss_D_real: -0.006104 Loss_D_fake 0.027080
[259/5000][15/535][26389] Loss_D: -0.033079 Loss_G: 0.033445 Loss_D_real: -0.039026 Loss_D_fake -0.005947
[259/5000][20/535][26390] Loss_D: -0.033809 Loss_G: 0.008514 Loss_D_real: -0.019283 Loss_D_fake 0.014526
[259/5000][25/535][26391] Loss_D: -0.034641 Loss_G: 0.006196 Loss_D_real: -0.005479 Loss_D_fake 0.029162
[259/5000][30/535][26392] Loss_D: -0.034178 Loss_G: 0.018117 Loss_D_real: -0.027737 Loss_D_fake 0.006441
[259/5000][35/535][26393] Loss_D: -0.034361 Loss_G: 0.014518 Loss_D_real: -0.017226 Loss_D_fake 0.017134
[259/5000][40/535][26394] Loss_D: -0.033839 Loss_G: 0.023249 Loss_D_real: -0.030320 Loss_D_fake 0.003518
[259/5000][45/535][26395] Loss_D: -0.034684 Loss_G: 0.032667 Loss_D_real: -0.031147 Loss_D_fake 0.003537
[259/5000][50/535][26396] Loss_D: -0.033988 Loss_G: 0.028259 Loss_D_real: -0.028951 Loss_D_fake 0.005037
[259/5000][55/535][26397] Loss_D: -0.034704 Loss_G: 0.015097 Loss_D_real: -0.018376 Loss_D_fake 0.016328
[259/5000][60/535][26398] Loss_D: -0.033982 Loss_G: 0.028216 Loss_D_real: -0.028553 Loss_D_fake 0.005428
[259/5000][65/535][26399] Loss_D: -0.034517 Loss_G: 0.035513 Loss_D_real: -0.030447 Loss_D_fake 0.004070
[259/5000][70/535][26400] Loss_D: -0.033848 Loss_G: 0.028745 Loss_D_real: -0.035113 Loss_D_fake -0.001264
[259/5000][75/535][26401] Loss_D: -0.033091 Loss_G: 0.002678 Loss_D_real: -0.011353 Loss_D_fake 0.021738
[259/5000][80/535][26402] Loss_D: -0.033394 Loss_G: 0.018370 Loss_D_real: -0.020407 Loss_D_fake 0.012987
[259/5000][85/535][26403] Loss_D: -0.033493 Loss_G: 0.025036 Loss_D_real: -0.036513 Loss_D_fake -0.003020
[259/5000][90/535][26404] Loss_D: -0.034018 Loss_G: -0.000904 Loss_D_real: -0.005043 Loss_D_fake 0.028975
[259/5000][95/535][26405] Loss_D: -0.031207 Loss_G: 0.029336 Loss_D_real: -0.033797 Loss_D_fake -0.002590
[259/5000][100/535][26406] Loss_D: -0.033317 Loss_G: 0.021008 Loss_D_real: -0.015987 Loss_D_fake 0.017330
[259/5000][105/535][26407] Loss_D: -0.032172 Loss_G: 0.026290 Loss_D_real: -0.019697 Loss_D_fake 0.012475
[259/5000][110/535][26408] Loss_D: -0.034230 Loss_G: 0.024206 Loss_D_real: -0.030929 Loss_D_fake 0.003301
[259/5000][115/535][26409] Loss_D: -0.032408 Loss_G: -0.004392 Loss_D_real: -0.003503 Loss_D_fake 0.028905
[259/5000][120/535][26410] Loss_D: -0.033929 Loss_G: 0.033365 Loss_D_real: -0.038866 Loss_D_fake -0.004937
[259/5000][125/535][26411] Loss_D: -0.034216 Loss_G: 0.020165 Loss_D_real: -0.032856 Loss_D_fake 0.001361
[259/5000][130/535][26412] Loss_D: -0.033895 Loss_G: 0.035436 Loss_D_real: -0.026213 Loss_D_fake 0.007682
[259/5000][135/535][26413] Loss_D: -0.032467 Loss_G: 0.008499 Loss_D_real: -0.007252 Loss_D_fake 0.025214
[259/5000][140/535][26414] Loss_D: -0.030963 Loss_G: 0.032832 Loss_D_real: -0.036303 Loss_D_fake -0.005340
[259/5000][145/535][26415] Loss_D: -0.033395 Loss_G: 0.026230 Loss_D_real: -0.027829 Loss_D_fake 0.005566
[259/5000][150/535][26416] Loss_D: -0.033348 Loss_G: 0.007206 Loss_D_real: -0.017295 Loss_D_fake 0.016052
[259/5000][155/535][26417] Loss_D: -0.033239 Loss_G: 0.022468 Loss_D_real: -0.026928 Loss_D_fake 0.006310
[259/5000][160/535][26418] Loss_D: -0.033365 Loss_G: -0.003504 Loss_D_real: -0.013496 Loss_D_fake 0.019870
[259/5000][165/535][26419] Loss_D: -0.035723 Loss_G: 0.016226 Loss_D_real: -0.027846 Loss_D_fake 0.007877
[259/5000][170/535][26420] Loss_D: -0.033950 Loss_G: 0.015494 Loss_D_real: -0.025188 Loss_D_fake 0.008762
[259/5000][175/535][26421] Loss_D: -0.034559 Loss_G: 0.009426 Loss_D_real: -0.015946 Loss_D_fake 0.018613
[259/5000][180/535][26422] Loss_D: -0.033502 Loss_G: 0.036649 Loss_D_real: -0.034367 Loss_D_fake -0.000865
[259/5000][185/535][26423] Loss_D: -0.032002 Loss_G: -0.020751 Loss_D_real: 0.004258 Loss_D_fake 0.036260
[259/5000][190/535][26424] Loss_D: -0.033385 Loss_G: 0.036180 Loss_D_real: -0.034183 Loss_D_fake -0.000798
[259/5000][195/535][26425] Loss_D: -0.033584 Loss_G: 0.000063 Loss_D_real: -0.011846 Loss_D_fake 0.021738
[259/5000][200/535][26426] Loss_D: -0.033772 Loss_G: -0.003624 Loss_D_real: -0.020879 Loss_D_fake 0.012893
[259/5000][205/535][26427] Loss_D: -0.034143 Loss_G: 0.018450 Loss_D_real: -0.023440 Loss_D_fake 0.010703
[259/5000][210/535][26428] Loss_D: -0.033401 Loss_G: -0.015428 Loss_D_real: -0.006138 Loss_D_fake 0.027263
[259/5000][215/535][26429] Loss_D: -0.032550 Loss_G: 0.033253 Loss_D_real: -0.034688 Loss_D_fake -0.002138
[259/5000][220/535][26430] Loss_D: -0.034178 Loss_G: 0.020883 Loss_D_real: -0.034114 Loss_D_fake 0.000063
[259/5000][225/535][26431] Loss_D: -0.032174 Loss_G: 0.030944 Loss_D_real: -0.036026 Loss_D_fake -0.003852
[259/5000][230/535][26432] Loss_D: -0.034791 Loss_G: 0.021123 Loss_D_real: -0.031669 Loss_D_fake 0.003122
[259/5000][235/535][26433] Loss_D: -0.031904 Loss_G: 0.028892 Loss_D_real: -0.024583 Loss_D_fake 0.007322
[259/5000][240/535][26434] Loss_D: -0.034805 Loss_G: 0.035564 Loss_D_real: -0.031603 Loss_D_fake 0.003202
[259/5000][245/535][26435] Loss_D: -0.033028 Loss_G: 0.014032 Loss_D_real: -0.015609 Loss_D_fake 0.017419
[259/5000][250/535][26436] Loss_D: -0.033615 Loss_G: 0.014702 Loss_D_real: -0.015084 Loss_D_fake 0.018531
[259/5000][255/535][26437] Loss_D: -0.032657 Loss_G: 0.033717 Loss_D_real: -0.027658 Loss_D_fake 0.004999
[259/5000][260/535][26438] Loss_D: -0.032904 Loss_G: 0.017171 Loss_D_real: -0.016491 Loss_D_fake 0.016413
[259/5000][265/535][26439] Loss_D: -0.032702 Loss_G: 0.023105 Loss_D_real: -0.040632 Loss_D_fake -0.007930
[259/5000][270/535][26440] Loss_D: -0.034063 Loss_G: 0.022868 Loss_D_real: -0.032207 Loss_D_fake 0.001856
[259/5000][275/535][26441] Loss_D: -0.032728 Loss_G: 0.008374 Loss_D_real: -0.015133 Loss_D_fake 0.017595
[259/5000][280/535][26442] Loss_D: -0.033195 Loss_G: 0.027057 Loss_D_real: -0.032532 Loss_D_fake 0.000663
[259/5000][285/535][26443] Loss_D: -0.032799 Loss_G: 0.005740 Loss_D_real: -0.022478 Loss_D_fake 0.010321
[259/5000][290/535][26444] Loss_D: -0.034066 Loss_G: 0.001355 Loss_D_real: -0.016024 Loss_D_fake 0.018041
[259/5000][295/535][26445] Loss_D: -0.034747 Loss_G: 0.019105 Loss_D_real: -0.028800 Loss_D_fake 0.005947
[259/5000][300/535][26446] Loss_D: -0.032980 Loss_G: 0.020611 Loss_D_real: -0.029302 Loss_D_fake 0.003679
[259/5000][305/535][26447] Loss_D: -0.034116 Loss_G: 0.022492 Loss_D_real: -0.035757 Loss_D_fake -0.001642
[259/5000][310/535][26448] Loss_D: -0.033264 Loss_G: -0.003497 Loss_D_real: -0.002800 Loss_D_fake 0.030464
[259/5000][315/535][26449] Loss_D: -0.033139 Loss_G: 0.029179 Loss_D_real: -0.029597 Loss_D_fake 0.003542
[259/5000][320/535][26450] Loss_D: -0.033918 Loss_G: 0.005930 Loss_D_real: -0.019817 Loss_D_fake 0.014101
[259/5000][325/535][26451] Loss_D: -0.033141 Loss_G: 0.023751 Loss_D_real: -0.025969 Loss_D_fake 0.007172
[259/5000][330/535][26452] Loss_D: -0.033012 Loss_G: 0.019945 Loss_D_real: -0.028360 Loss_D_fake 0.004651
[259/5000][335/535][26453] Loss_D: -0.032158 Loss_G: 0.033141 Loss_D_real: -0.036216 Loss_D_fake -0.004058
[259/5000][340/535][26454] Loss_D: -0.032445 Loss_G: 0.015995 Loss_D_real: -0.026829 Loss_D_fake 0.005616
[259/5000][345/535][26455] Loss_D: -0.034904 Loss_G: 0.018748 Loss_D_real: -0.016048 Loss_D_fake 0.018856
[259/5000][350/535][26456] Loss_D: -0.033894 Loss_G: 0.033672 Loss_D_real: -0.033106 Loss_D_fake 0.000788
[259/5000][355/535][26457] Loss_D: -0.033514 Loss_G: -0.004850 Loss_D_real: -0.002465 Loss_D_fake 0.031049
[259/5000][360/535][26458] Loss_D: -0.033101 Loss_G: 0.020501 Loss_D_real: -0.019347 Loss_D_fake 0.013754
[259/5000][365/535][26459] Loss_D: -0.033679 Loss_G: 0.014198 Loss_D_real: -0.024862 Loss_D_fake 0.008816
[259/5000][370/535][26460] Loss_D: -0.033496 Loss_G: 0.032234 Loss_D_real: -0.035749 Loss_D_fake -0.002253
[259/5000][375/535][26461] Loss_D: -0.034145 Loss_G: -0.001243 Loss_D_real: -0.010801 Loss_D_fake 0.023344
[259/5000][380/535][26462] Loss_D: -0.033732 Loss_G: 0.028561 Loss_D_real: -0.037385 Loss_D_fake -0.003652
[259/5000][385/535][26463] Loss_D: -0.033943 Loss_G: 0.035382 Loss_D_real: -0.029269 Loss_D_fake 0.004674
[259/5000][390/535][26464] Loss_D: -0.033507 Loss_G: 0.033519 Loss_D_real: -0.035023 Loss_D_fake -0.001516
[259/5000][395/535][26465] Loss_D: -0.033679 Loss_G: 0.007163 Loss_D_real: -0.010087 Loss_D_fake 0.023592
[259/5000][400/535][26466] Loss_D: -0.032911 Loss_G: 0.017308 Loss_D_real: -0.022808 Loss_D_fake 0.010103
[259/5000][405/535][26467] Loss_D: -0.032934 Loss_G: 0.013005 Loss_D_real: -0.011915 Loss_D_fake 0.021019
[259/5000][410/535][26468] Loss_D: -0.034858 Loss_G: 0.015489 Loss_D_real: -0.028192 Loss_D_fake 0.006665
[259/5000][415/535][26469] Loss_D: -0.032513 Loss_G: 0.001283 Loss_D_real: -0.007108 Loss_D_fake 0.025405
[259/5000][420/535][26470] Loss_D: -0.034271 Loss_G: 0.026765 Loss_D_real: -0.027167 Loss_D_fake 0.007104
[259/5000][425/535][26471] Loss_D: -0.034713 Loss_G: 0.011109 Loss_D_real: -0.023779 Loss_D_fake 0.010934
[259/5000][430/535][26472] Loss_D: -0.034593 Loss_G: 0.025343 Loss_D_real: -0.024132 Loss_D_fake 0.010461
[259/5000][435/535][26473] Loss_D: -0.034659 Loss_G: 0.004280 Loss_D_real: -0.014596 Loss_D_fake 0.020063
[259/5000][440/535][26474] Loss_D: -0.034086 Loss_G: 0.004061 Loss_D_real: -0.018720 Loss_D_fake 0.015366
[259/5000][445/535][26475] Loss_D: -0.031620 Loss_G: 0.036082 Loss_D_real: -0.040584 Loss_D_fake -0.008964
[259/5000][450/535][26476] Loss_D: -0.031876 Loss_G: -0.014900 Loss_D_real: -0.006420 Loss_D_fake 0.025457
[259/5000][455/535][26477] Loss_D: -0.032716 Loss_G: 0.021759 Loss_D_real: -0.020919 Loss_D_fake 0.011797
[259/5000][460/535][26478] Loss_D: -0.031877 Loss_G: -0.009346 Loss_D_real: -0.006302 Loss_D_fake 0.025575
[259/5000][465/535][26479] Loss_D: -0.033584 Loss_G: 0.020144 Loss_D_real: -0.023870 Loss_D_fake 0.009713
[259/5000][470/535][26480] Loss_D: -0.033047 Loss_G: -0.007013 Loss_D_real: -0.005587 Loss_D_fake 0.027460
[259/5000][475/535][26481] Loss_D: -0.032066 Loss_G: 0.033051 Loss_D_real: -0.045970 Loss_D_fake -0.013903
[259/5000][480/535][26482] Loss_D: -0.033620 Loss_G: 0.004819 Loss_D_real: -0.007861 Loss_D_fake 0.025759
[259/5000][485/535][26483] Loss_D: -0.033412 Loss_G: 0.008278 Loss_D_real: -0.018580 Loss_D_fake 0.014833
[259/5000][490/535][26484] Loss_D: -0.034377 Loss_G: 0.025518 Loss_D_real: -0.019447 Loss_D_fake 0.014929
[259/5000][495/535][26485] Loss_D: -0.034313 Loss_G: 0.013492 Loss_D_real: -0.020825 Loss_D_fake 0.013488
[259/5000][500/535][26486] Loss_D: -0.031971 Loss_G: 0.037829 Loss_D_real: -0.043191 Loss_D_fake -0.011220
[259/5000][505/535][26487] Loss_D: -0.033005 Loss_G: 0.019713 Loss_D_real: -0.023281 Loss_D_fake 0.009725
[259/5000][510/535][26488] Loss_D: -0.033237 Loss_G: 0.012311 Loss_D_real: -0.020229 Loss_D_fake 0.013009
[259/5000][515/535][26489] Loss_D: -0.033033 Loss_G: 0.023634 Loss_D_real: -0.015163 Loss_D_fake 0.017869
[259/5000][520/535][26490] Loss_D: -0.031931 Loss_G: -0.011259 Loss_D_real: -0.006532 Loss_D_fake 0.025400
[259/5000][525/535][26491] Loss_D: -0.033686 Loss_G: 0.025527 Loss_D_real: -0.030466 Loss_D_fake 0.003220
[259/5000][530/535][26492] Loss_D: -0.034269 Loss_G: -0.000702 Loss_D_real: -0.010056 Loss_D_fake 0.024213
[259/5000][535/535][26493] Loss_D: -0.032203 Loss_G: 0.035226 Loss_D_real: -0.033947 Loss_D_fake -0.001744
[260/5000][5/535][26494] Loss_D: -0.034093 Loss_G: 0.005384 Loss_D_real: -0.015996 Loss_D_fake 0.018098
[260/5000][10/535][26495] Loss_D: -0.031655 Loss_G: 0.010348 Loss_D_real: -0.015792 Loss_D_fake 0.015863
[260/5000][15/535][26496] Loss_D: -0.033085 Loss_G: 0.010562 Loss_D_real: -0.019326 Loss_D_fake 0.013760
[260/5000][20/535][26497] Loss_D: -0.032337 Loss_G: 0.036374 Loss_D_real: -0.034376 Loss_D_fake -0.002039
[260/5000][25/535][26498] Loss_D: -0.033083 Loss_G: 0.030908 Loss_D_real: -0.034156 Loss_D_fake -0.001074
[260/5000][30/535][26499] Loss_D: -0.033156 Loss_G: 0.012929 Loss_D_real: -0.020496 Loss_D_fake 0.012660
[260/5000][35/535][26500] Loss_D: -0.034852 Loss_G: 0.022099 Loss_D_real: -0.019154 Loss_D_fake 0.015697
[260/5000][135/535][26501] Loss_D: -0.035210 Loss_G: -0.008629 Loss_D_real: -0.003553 Loss_D_fake 0.031657
[260/5000][140/535][26502] Loss_D: -0.033496 Loss_G: 0.019169 Loss_D_real: -0.020582 Loss_D_fake 0.012914
[260/5000][145/535][26503] Loss_D: -0.030256 Loss_G: 0.012844 Loss_D_real: -0.013214 Loss_D_fake 0.017043
[260/5000][150/535][26504] Loss_D: -0.031104 Loss_G: 0.007521 Loss_D_real: -0.012161 Loss_D_fake 0.018943
[260/5000][155/535][26505] Loss_D: -0.032290 Loss_G: 0.032847 Loss_D_real: -0.035039 Loss_D_fake -0.002749
[260/5000][160/535][26506] Loss_D: -0.031733 Loss_G: 0.000794 Loss_D_real: -0.007329 Loss_D_fake 0.024404
[260/5000][165/535][26507] Loss_D: -0.031752 Loss_G: 0.022636 Loss_D_real: -0.029042 Loss_D_fake 0.002710
[260/5000][170/535][26508] Loss_D: -0.029624 Loss_G: 0.035033 Loss_D_real: -0.032384 Loss_D_fake -0.002760
[260/5000][175/535][26509] Loss_D: -0.034640 Loss_G: 0.021341 Loss_D_real: -0.026344 Loss_D_fake 0.008297
[260/5000][180/535][26510] Loss_D: -0.034138 Loss_G: 0.017793 Loss_D_real: -0.024767 Loss_D_fake 0.009372
[260/5000][185/535][26511] Loss_D: -0.032959 Loss_G: 0.004586 Loss_D_real: -0.018080 Loss_D_fake 0.014879
[260/5000][190/535][26512] Loss_D: -0.032754 Loss_G: 0.024039 Loss_D_real: -0.027583 Loss_D_fake 0.005171
[260/5000][195/535][26513] Loss_D: -0.033888 Loss_G: 0.019318 Loss_D_real: -0.013711 Loss_D_fake 0.020177
[260/5000][200/535][26514] Loss_D: -0.033064 Loss_G: 0.022157 Loss_D_real: -0.016229 Loss_D_fake 0.016836
[260/5000][205/535][26515] Loss_D: -0.033702 Loss_G: 0.004416 Loss_D_real: -0.014269 Loss_D_fake 0.019433
[260/5000][210/535][26516] Loss_D: -0.032646 Loss_G: 0.005534 Loss_D_real: -0.006324 Loss_D_fake 0.026322
[260/5000][215/535][26517] Loss_D: -0.033536 Loss_G: 0.011559 Loss_D_real: -0.019251 Loss_D_fake 0.014284
[260/5000][220/535][26518] Loss_D: -0.033876 Loss_G: 0.008669 Loss_D_real: -0.023816 Loss_D_fake 0.010060
[260/5000][225/535][26519] Loss_D: -0.030326 Loss_G: 0.025993 Loss_D_real: -0.036399 Loss_D_fake -0.006073
[260/5000][230/535][26520] Loss_D: -0.032493 Loss_G: 0.003564 Loss_D_real: -0.017037 Loss_D_fake 0.015456
[260/5000][235/535][26521] Loss_D: -0.032510 Loss_G: 0.008668 Loss_D_real: -0.021028 Loss_D_fake 0.011482
[260/5000][240/535][26522] Loss_D: -0.031609 Loss_G: 0.037417 Loss_D_real: -0.042219 Loss_D_fake -0.010610
[260/5000][245/535][26523] Loss_D: -0.033362 Loss_G: 0.021820 Loss_D_real: -0.030217 Loss_D_fake 0.003145
[260/5000][250/535][26524] Loss_D: -0.031689 Loss_G: 0.030339 Loss_D_real: -0.030339 Loss_D_fake 0.001350
[260/5000][255/535][26525] Loss_D: -0.031947 Loss_G: 0.003581 Loss_D_real: -0.010937 Loss_D_fake 0.021010
[260/5000][260/535][26526] Loss_D: -0.033923 Loss_G: 0.028600 Loss_D_real: -0.022104 Loss_D_fake 0.011819
[260/5000][265/535][26527] Loss_D: -0.034004 Loss_G: 0.023205 Loss_D_real: -0.025382 Loss_D_fake 0.008622
[260/5000][270/535][26528] Loss_D: -0.032505 Loss_G: 0.003683 Loss_D_real: -0.019551 Loss_D_fake 0.012953
[260/5000][275/535][26529] Loss_D: -0.031259 Loss_G: 0.032369 Loss_D_real: -0.033728 Loss_D_fake -0.002469
[260/5000][280/535][26530] Loss_D: -0.032760 Loss_G: 0.021948 Loss_D_real: -0.020517 Loss_D_fake 0.012243
[260/5000][285/535][26531] Loss_D: -0.032516 Loss_G: 0.001698 Loss_D_real: -0.006003 Loss_D_fake 0.026513
[260/5000][290/535][26532] Loss_D: -0.034684 Loss_G: 0.029823 Loss_D_real: -0.031256 Loss_D_fake 0.003428
[260/5000][295/535][26533] Loss_D: -0.034266 Loss_G: 0.022075 Loss_D_real: -0.025289 Loss_D_fake 0.008977
[260/5000][300/535][26534] Loss_D: -0.033356 Loss_G: 0.033372 Loss_D_real: -0.032558 Loss_D_fake 0.000798
[260/5000][305/535][26535] Loss_D: -0.031893 Loss_G: -0.009178 Loss_D_real: -0.003591 Loss_D_fake 0.028302
[260/5000][310/535][26536] Loss_D: -0.031272 Loss_G: 0.025396 Loss_D_real: -0.027834 Loss_D_fake 0.003437
[260/5000][315/535][26537] Loss_D: -0.031137 Loss_G: 0.037503 Loss_D_real: -0.032001 Loss_D_fake -0.000864
[260/5000][320/535][26538] Loss_D: -0.032267 Loss_G: 0.028253 Loss_D_real: -0.028302 Loss_D_fake 0.003964
[260/5000][325/535][26539] Loss_D: -0.034095 Loss_G: 0.015509 Loss_D_real: -0.022963 Loss_D_fake 0.011132
[260/5000][330/535][26540] Loss_D: -0.033576 Loss_G: 0.033188 Loss_D_real: -0.032815 Loss_D_fake 0.000762
[260/5000][335/535][26541] Loss_D: -0.033282 Loss_G: 0.019359 Loss_D_real: -0.029151 Loss_D_fake 0.004131
[260/5000][340/535][26542] Loss_D: -0.034243 Loss_G: 0.040198 Loss_D_real: -0.036574 Loss_D_fake -0.002331
[260/5000][345/535][26543] Loss_D: -0.032422 Loss_G: -0.003468 Loss_D_real: -0.000332 Loss_D_fake 0.032089
[260/5000][350/535][26544] Loss_D: -0.031298 Loss_G: 0.020620 Loss_D_real: -0.026592 Loss_D_fake 0.004705
[260/5000][355/535][26545] Loss_D: -0.033235 Loss_G: 0.024051 Loss_D_real: -0.023451 Loss_D_fake 0.009785
[260/5000][360/535][26546] Loss_D: -0.033373 Loss_G: 0.011277 Loss_D_real: -0.016763 Loss_D_fake 0.016610
[260/5000][365/535][26547] Loss_D: -0.034294 Loss_G: 0.021065 Loss_D_real: -0.026551 Loss_D_fake 0.007743
[260/5000][370/535][26548] Loss_D: -0.035168 Loss_G: 0.009274 Loss_D_real: -0.021818 Loss_D_fake 0.013350
[260/5000][375/535][26549] Loss_D: -0.033945 Loss_G: 0.011704 Loss_D_real: -0.017719 Loss_D_fake 0.016225
[260/5000][380/535][26550] Loss_D: -0.034791 Loss_G: 0.016236 Loss_D_real: -0.025687 Loss_D_fake 0.009104
[260/5000][385/535][26551] Loss_D: -0.032148 Loss_G: 0.011367 Loss_D_real: -0.018601 Loss_D_fake 0.013546
[260/5000][390/535][26552] Loss_D: -0.033951 Loss_G: 0.019018 Loss_D_real: -0.018869 Loss_D_fake 0.015082
[260/5000][395/535][26553] Loss_D: -0.033074 Loss_G: 0.033096 Loss_D_real: -0.035633 Loss_D_fake -0.002558
[260/5000][400/535][26554] Loss_D: -0.031419 Loss_G: 0.044996 Loss_D_real: -0.039426 Loss_D_fake -0.008006
[260/5000][405/535][26555] Loss_D: -0.032582 Loss_G: 0.006785 Loss_D_real: -0.011710 Loss_D_fake 0.020871
[260/5000][410/535][26556] Loss_D: -0.033212 Loss_G: 0.026091 Loss_D_real: -0.033032 Loss_D_fake 0.000180
[260/5000][415/535][26557] Loss_D: -0.031682 Loss_G: -0.001551 Loss_D_real: -0.001089 Loss_D_fake 0.030593
[260/5000][420/535][26558] Loss_D: -0.034602 Loss_G: 0.026961 Loss_D_real: -0.031354 Loss_D_fake 0.003248
[260/5000][425/535][26559] Loss_D: -0.032209 Loss_G: 0.009294 Loss_D_real: -0.014932 Loss_D_fake 0.017277
[260/5000][430/535][26560] Loss_D: -0.031745 Loss_G: 0.028802 Loss_D_real: -0.041494 Loss_D_fake -0.009750
[260/5000][435/535][26561] Loss_D: -0.032517 Loss_G: 0.002837 Loss_D_real: -0.018499 Loss_D_fake 0.014019
[260/5000][440/535][26562] Loss_D: -0.032927 Loss_G: 0.023034 Loss_D_real: -0.026159 Loss_D_fake 0.006768
[260/5000][445/535][26563] Loss_D: -0.033444 Loss_G: -0.005650 Loss_D_real: -0.011619 Loss_D_fake 0.021824
[260/5000][450/535][26564] Loss_D: -0.033866 Loss_G: 0.014931 Loss_D_real: -0.022954 Loss_D_fake 0.010912
[260/5000][455/535][26565] Loss_D: -0.031099 Loss_G: 0.047627 Loss_D_real: -0.040371 Loss_D_fake -0.009272
[260/5000][460/535][26566] Loss_D: -0.034197 Loss_G: 0.007088 Loss_D_real: -0.021909 Loss_D_fake 0.012288
[260/5000][465/535][26567] Loss_D: -0.033244 Loss_G: 0.020743 Loss_D_real: -0.026440 Loss_D_fake 0.006804
[260/5000][470/535][26568] Loss_D: -0.032689 Loss_G: 0.033215 Loss_D_real: -0.031877 Loss_D_fake 0.000812
[260/5000][475/535][26569] Loss_D: -0.034354 Loss_G: 0.007495 Loss_D_real: -0.011950 Loss_D_fake 0.022405
[260/5000][480/535][26570] Loss_D: -0.033015 Loss_G: 0.020291 Loss_D_real: -0.025272 Loss_D_fake 0.007743
[260/5000][485/535][26571] Loss_D: -0.032756 Loss_G: 0.013864 Loss_D_real: -0.017724 Loss_D_fake 0.015032
[260/5000][490/535][26572] Loss_D: -0.034772 Loss_G: 0.020203 Loss_D_real: -0.016891 Loss_D_fake 0.017882
[260/5000][495/535][26573] Loss_D: -0.033203 Loss_G: 0.017624 Loss_D_real: -0.017689 Loss_D_fake 0.015514
[260/5000][500/535][26574] Loss_D: -0.034223 Loss_G: 0.008725 Loss_D_real: -0.019375 Loss_D_fake 0.014848
[260/5000][505/535][26575] Loss_D: -0.031791 Loss_G: 0.023091 Loss_D_real: -0.031419 Loss_D_fake 0.000372
[260/5000][510/535][26576] Loss_D: -0.032204 Loss_G: 0.014421 Loss_D_real: -0.021816 Loss_D_fake 0.010388
[260/5000][515/535][26577] Loss_D: -0.033307 Loss_G: 0.021307 Loss_D_real: -0.023239 Loss_D_fake 0.010068
[260/5000][520/535][26578] Loss_D: -0.032670 Loss_G: 0.016895 Loss_D_real: -0.017750 Loss_D_fake 0.014920
[260/5000][525/535][26579] Loss_D: -0.032691 Loss_G: 0.023734 Loss_D_real: -0.028106 Loss_D_fake 0.004585
[260/5000][530/535][26580] Loss_D: -0.033472 Loss_G: 0.017960 Loss_D_real: -0.014083 Loss_D_fake 0.019389
[260/5000][535/535][26581] Loss_D: -0.032621 Loss_G: 0.000966 Loss_D_real: -0.019031 Loss_D_fake 0.013590
[261/5000][5/535][26582] Loss_D: -0.034212 Loss_G: 0.018968 Loss_D_real: -0.026004 Loss_D_fake 0.008208
[261/5000][10/535][26583] Loss_D: -0.030739 Loss_G: 0.032816 Loss_D_real: -0.037940 Loss_D_fake -0.007201
[261/5000][15/535][26584] Loss_D: -0.033085 Loss_G: 0.001938 Loss_D_real: -0.005866 Loss_D_fake 0.027219
[261/5000][20/535][26585] Loss_D: -0.033361 Loss_G: 0.017849 Loss_D_real: -0.027373 Loss_D_fake 0.005989
[261/5000][25/535][26586] Loss_D: -0.033474 Loss_G: -0.000518 Loss_D_real: -0.015690 Loss_D_fake 0.017784
[261/5000][30/535][26587] Loss_D: -0.031376 Loss_G: 0.026237 Loss_D_real: -0.034726 Loss_D_fake -0.003350
[261/5000][35/535][26588] Loss_D: -0.032656 Loss_G: 0.013775 Loss_D_real: -0.023272 Loss_D_fake 0.009384
[261/5000][40/535][26589] Loss_D: -0.033662 Loss_G: 0.022942 Loss_D_real: -0.022056 Loss_D_fake 0.011606
[261/5000][45/535][26590] Loss_D: -0.032994 Loss_G: 0.003450 Loss_D_real: -0.008422 Loss_D_fake 0.024571
[261/5000][50/535][26591] Loss_D: -0.033715 Loss_G: 0.023670 Loss_D_real: -0.031672 Loss_D_fake 0.002043
[261/5000][55/535][26592] Loss_D: -0.033433 Loss_G: 0.024683 Loss_D_real: -0.024974 Loss_D_fake 0.008459
[261/5000][60/535][26593] Loss_D: -0.032745 Loss_G: 0.028854 Loss_D_real: -0.035262 Loss_D_fake -0.002517
[261/5000][65/535][26594] Loss_D: -0.035339 Loss_G: 0.009639 Loss_D_real: -0.019705 Loss_D_fake 0.015634
[261/5000][70/535][26595] Loss_D: -0.033659 Loss_G: 0.032582 Loss_D_real: -0.037705 Loss_D_fake -0.004046
[261/5000][75/535][26596] Loss_D: -0.034640 Loss_G: -0.006909 Loss_D_real: -0.005164 Loss_D_fake 0.029476
[261/5000][80/535][26597] Loss_D: -0.031079 Loss_G: 0.037099 Loss_D_real: -0.042885 Loss_D_fake -0.011806
[261/5000][85/535][26598] Loss_D: -0.032821 Loss_G: 0.018307 Loss_D_real: -0.027721 Loss_D_fake 0.005100
[261/5000][90/535][26599] Loss_D: -0.033620 Loss_G: 0.041495 Loss_D_real: -0.031671 Loss_D_fake 0.001949
[261/5000][95/535][26600] Loss_D: -0.034714 Loss_G: 0.031979 Loss_D_real: -0.032624 Loss_D_fake 0.002090
[261/5000][100/535][26601] Loss_D: -0.032363 Loss_G: 0.006725 Loss_D_real: -0.015385 Loss_D_fake 0.016978
[261/5000][105/535][26602] Loss_D: -0.033558 Loss_G: 0.008882 Loss_D_real: -0.020530 Loss_D_fake 0.013028
[261/5000][110/535][26603] Loss_D: -0.034076 Loss_G: 0.017512 Loss_D_real: -0.027188 Loss_D_fake 0.006888
[261/5000][115/535][26604] Loss_D: -0.035592 Loss_G: 0.005244 Loss_D_real: -0.014963 Loss_D_fake 0.020629
[261/5000][120/535][26605] Loss_D: -0.033033 Loss_G: 0.011749 Loss_D_real: -0.028180 Loss_D_fake 0.004853
[261/5000][125/535][26606] Loss_D: -0.032242 Loss_G: 0.042870 Loss_D_real: -0.044895 Loss_D_fake -0.012654
[261/5000][130/535][26607] Loss_D: -0.033579 Loss_G: 0.009214 Loss_D_real: -0.018281 Loss_D_fake 0.015298
[261/5000][135/535][26608] Loss_D: -0.034902 Loss_G: 0.027120 Loss_D_real: -0.036255 Loss_D_fake -0.001353
[261/5000][140/535][26609] Loss_D: -0.034735 Loss_G: 0.027202 Loss_D_real: -0.028247 Loss_D_fake 0.006488
[261/5000][145/535][26610] Loss_D: -0.035251 Loss_G: 0.027770 Loss_D_real: -0.029686 Loss_D_fake 0.005565
[261/5000][150/535][26611] Loss_D: -0.033521 Loss_G: 0.003536 Loss_D_real: -0.017411 Loss_D_fake 0.016110
[261/5000][155/535][26612] Loss_D: -0.035394 Loss_G: 0.016587 Loss_D_real: -0.022346 Loss_D_fake 0.013047
[261/5000][160/535][26613] Loss_D: -0.032886 Loss_G: -0.006421 Loss_D_real: -0.012319 Loss_D_fake 0.020566
[261/5000][165/535][26614] Loss_D: -0.031416 Loss_G: 0.044356 Loss_D_real: -0.043231 Loss_D_fake -0.011815
[261/5000][170/535][26615] Loss_D: -0.033279 Loss_G: 0.010425 Loss_D_real: -0.016031 Loss_D_fake 0.017249
[261/5000][175/535][26616] Loss_D: -0.031915 Loss_G: 0.028917 Loss_D_real: -0.027997 Loss_D_fake 0.003918
[261/5000][180/535][26617] Loss_D: -0.033050 Loss_G: 0.030615 Loss_D_real: -0.030342 Loss_D_fake 0.002708
[261/5000][185/535][26618] Loss_D: -0.034667 Loss_G: -0.000044 Loss_D_real: -0.018159 Loss_D_fake 0.016507
[261/5000][190/535][26619] Loss_D: -0.032907 Loss_G: 0.019174 Loss_D_real: -0.021113 Loss_D_fake 0.011795
[261/5000][195/535][26620] Loss_D: -0.032893 Loss_G: 0.034671 Loss_D_real: -0.033691 Loss_D_fake -0.000798
[261/5000][200/535][26621] Loss_D: -0.032398 Loss_G: -0.004053 Loss_D_real: -0.008987 Loss_D_fake 0.023411
[261/5000][205/535][26622] Loss_D: -0.033238 Loss_G: 0.017641 Loss_D_real: -0.023357 Loss_D_fake 0.009881
[261/5000][210/535][26623] Loss_D: -0.033099 Loss_G: -0.005477 Loss_D_real: -0.004245 Loss_D_fake 0.028855
[261/5000][215/535][26624] Loss_D: -0.032670 Loss_G: 0.014633 Loss_D_real: -0.027287 Loss_D_fake 0.005384
[261/5000][220/535][26625] Loss_D: -0.032927 Loss_G: 0.021896 Loss_D_real: -0.024276 Loss_D_fake 0.008651
[261/5000][225/535][26626] Loss_D: -0.033380 Loss_G: 0.004077 Loss_D_real: -0.015953 Loss_D_fake 0.017427
[261/5000][230/535][26627] Loss_D: -0.033179 Loss_G: 0.027960 Loss_D_real: -0.036492 Loss_D_fake -0.003313
[261/5000][235/535][26628] Loss_D: -0.033847 Loss_G: 0.002069 Loss_D_real: -0.017105 Loss_D_fake 0.016741
[261/5000][240/535][26629] Loss_D: -0.031991 Loss_G: 0.036078 Loss_D_real: -0.037684 Loss_D_fake -0.005693
[261/5000][245/535][26630] Loss_D: -0.032326 Loss_G: -0.001117 Loss_D_real: -0.004317 Loss_D_fake 0.028009
[261/5000][250/535][26631] Loss_D: -0.032162 Loss_G: 0.015520 Loss_D_real: -0.013965 Loss_D_fake 0.018197
[261/5000][255/535][26632] Loss_D: -0.033257 Loss_G: 0.006483 Loss_D_real: -0.014413 Loss_D_fake 0.018844
[261/5000][260/535][26633] Loss_D: -0.032495 Loss_G: 0.017042 Loss_D_real: -0.025460 Loss_D_fake 0.007034
[261/5000][265/535][26634] Loss_D: -0.033796 Loss_G: 0.032614 Loss_D_real: -0.043705 Loss_D_fake -0.009908
[261/5000][270/535][26635] Loss_D: -0.033528 Loss_G: -0.001234 Loss_D_real: -0.009637 Loss_D_fake 0.023891
[261/5000][275/535][26636] Loss_D: -0.031785 Loss_G: 0.004592 Loss_D_real: -0.020069 Loss_D_fake 0.011716
[261/5000][280/535][26637] Loss_D: -0.033672 Loss_G: 0.019740 Loss_D_real: -0.021772 Loss_D_fake 0.011900
[261/5000][285/535][26638] Loss_D: -0.033896 Loss_G: 0.020249 Loss_D_real: -0.029230 Loss_D_fake 0.004666
[261/5000][290/535][26639] Loss_D: -0.033705 Loss_G: 0.029979 Loss_D_real: -0.027597 Loss_D_fake 0.006108
[261/5000][295/535][26640] Loss_D: -0.033103 Loss_G: 0.004143 Loss_D_real: -0.011280 Loss_D_fake 0.021823
[261/5000][300/535][26641] Loss_D: -0.033610 Loss_G: 0.010448 Loss_D_real: -0.021717 Loss_D_fake 0.011892
[261/5000][305/535][26642] Loss_D: -0.032384 Loss_G: 0.035465 Loss_D_real: -0.031660 Loss_D_fake 0.000724
[261/5000][310/535][26643] Loss_D: -0.032725 Loss_G: 0.009638 Loss_D_real: -0.011092 Loss_D_fake 0.021634
[261/5000][315/535][26644] Loss_D: -0.034179 Loss_G: 0.032283 Loss_D_real: -0.028229 Loss_D_fake 0.005950
[261/5000][320/535][26645] Loss_D: -0.032494 Loss_G: 0.023715 Loss_D_real: -0.025322 Loss_D_fake 0.007172
[261/5000][325/535][26646] Loss_D: -0.033864 Loss_G: 0.031075 Loss_D_real: -0.034212 Loss_D_fake -0.000348
[261/5000][330/535][26647] Loss_D: -0.033470 Loss_G: 0.025082 Loss_D_real: -0.027703 Loss_D_fake 0.005767
[261/5000][335/535][26648] Loss_D: -0.035971 Loss_G: 0.014347 Loss_D_real: -0.027079 Loss_D_fake 0.008893
[261/5000][340/535][26649] Loss_D: -0.033468 Loss_G: 0.014790 Loss_D_real: -0.028354 Loss_D_fake 0.005114
[261/5000][345/535][26650] Loss_D: -0.033727 Loss_G: 0.028946 Loss_D_real: -0.030205 Loss_D_fake 0.003522
[261/5000][350/535][26651] Loss_D: -0.034478 Loss_G: 0.041349 Loss_D_real: -0.040827 Loss_D_fake -0.006349
[261/5000][355/535][26652] Loss_D: -0.032665 Loss_G: -0.004010 Loss_D_real: -0.000727 Loss_D_fake 0.031939
[261/5000][360/535][26653] Loss_D: -0.032033 Loss_G: 0.025724 Loss_D_real: -0.027322 Loss_D_fake 0.004711
[261/5000][365/535][26654] Loss_D: -0.033094 Loss_G: 0.027881 Loss_D_real: -0.032486 Loss_D_fake 0.000608
[261/5000][370/535][26655] Loss_D: -0.034082 Loss_G: -0.002659 Loss_D_real: -0.009317 Loss_D_fake 0.024765
[261/5000][375/535][26656] Loss_D: -0.035089 Loss_G: 0.011543 Loss_D_real: -0.017413 Loss_D_fake 0.017677
[261/5000][380/535][26657] Loss_D: -0.032567 Loss_G: 0.004305 Loss_D_real: -0.014104 Loss_D_fake 0.018463
[261/5000][385/535][26658] Loss_D: -0.033859 Loss_G: 0.031659 Loss_D_real: -0.037915 Loss_D_fake -0.004056
[261/5000][390/535][26659] Loss_D: -0.033300 Loss_G: 0.007755 Loss_D_real: -0.018503 Loss_D_fake 0.014797
[261/5000][395/535][26660] Loss_D: -0.034954 Loss_G: 0.024694 Loss_D_real: -0.022098 Loss_D_fake 0.012856
[261/5000][400/535][26661] Loss_D: -0.032990 Loss_G: 0.030763 Loss_D_real: -0.027594 Loss_D_fake 0.005396
[261/5000][405/535][26662] Loss_D: -0.033938 Loss_G: 0.018556 Loss_D_real: -0.025039 Loss_D_fake 0.008899
[261/5000][410/535][26663] Loss_D: -0.034250 Loss_G: -0.001070 Loss_D_real: -0.012778 Loss_D_fake 0.021472
[261/5000][415/535][26664] Loss_D: -0.034161 Loss_G: 0.023514 Loss_D_real: -0.022916 Loss_D_fake 0.011245
[261/5000][420/535][26665] Loss_D: -0.032396 Loss_G: 0.034940 Loss_D_real: -0.032367 Loss_D_fake 0.000029
[261/5000][425/535][26666] Loss_D: -0.033796 Loss_G: -0.004125 Loss_D_real: -0.015052 Loss_D_fake 0.018744
[261/5000][430/535][26667] Loss_D: -0.033992 Loss_G: 0.012007 Loss_D_real: -0.018541 Loss_D_fake 0.015451
[261/5000][435/535][26668] Loss_D: -0.033835 Loss_G: 0.003389 Loss_D_real: -0.012084 Loss_D_fake 0.021751
[261/5000][440/535][26669] Loss_D: -0.032738 Loss_G: 0.036527 Loss_D_real: -0.029641 Loss_D_fake 0.003097
[261/5000][445/535][26670] Loss_D: -0.034937 Loss_G: 0.005031 Loss_D_real: -0.012360 Loss_D_fake 0.022577
[261/5000][450/535][26671] Loss_D: -0.033477 Loss_G: 0.027558 Loss_D_real: -0.032238 Loss_D_fake 0.001239
[261/5000][455/535][26672] Loss_D: -0.033898 Loss_G: 0.026599 Loss_D_real: -0.027990 Loss_D_fake 0.005908
[261/5000][460/535][26673] Loss_D: -0.033473 Loss_G: -0.000868 Loss_D_real: -0.013416 Loss_D_fake 0.020057
[261/5000][465/535][26674] Loss_D: -0.033639 Loss_G: 0.026517 Loss_D_real: -0.031162 Loss_D_fake 0.002477
[261/5000][470/535][26675] Loss_D: -0.032318 Loss_G: 0.018866 Loss_D_real: -0.022742 Loss_D_fake 0.009576
[261/5000][475/535][26676] Loss_D: -0.034286 Loss_G: -0.016656 Loss_D_real: 0.001776 Loss_D_fake 0.036062
[261/5000][480/535][26677] Loss_D: -0.033299 Loss_G: 0.021516 Loss_D_real: -0.022198 Loss_D_fake 0.011101
[261/5000][485/535][26678] Loss_D: -0.033866 Loss_G: 0.002014 Loss_D_real: -0.013005 Loss_D_fake 0.020861
[261/5000][490/535][26679] Loss_D: -0.032490 Loss_G: 0.029676 Loss_D_real: -0.024813 Loss_D_fake 0.007677
[261/5000][495/535][26680] Loss_D: -0.033686 Loss_G: -0.011651 Loss_D_real: -0.007142 Loss_D_fake 0.026544
[261/5000][500/535][26681] Loss_D: -0.032474 Loss_G: 0.030961 Loss_D_real: -0.031266 Loss_D_fake 0.001208
[261/5000][505/535][26682] Loss_D: -0.034051 Loss_G: 0.009505 Loss_D_real: -0.018164 Loss_D_fake 0.015886
[261/5000][510/535][26683] Loss_D: -0.033709 Loss_G: 0.029652 Loss_D_real: -0.024254 Loss_D_fake 0.009454
[261/5000][515/535][26684] Loss_D: -0.034563 Loss_G: 0.001963 Loss_D_real: -0.009701 Loss_D_fake 0.024862
[261/5000][520/535][26685] Loss_D: -0.033811 Loss_G: 0.020761 Loss_D_real: -0.025160 Loss_D_fake 0.008651
[261/5000][525/535][26686] Loss_D: -0.032703 Loss_G: 0.032752 Loss_D_real: -0.027690 Loss_D_fake 0.005013
[261/5000][530/535][26687] Loss_D: -0.034164 Loss_G: -0.003341 Loss_D_real: -0.010854 Loss_D_fake 0.023310
[261/5000][535/535][26688] Loss_D: -0.033051 Loss_G: 0.038687 Loss_D_real: -0.032787 Loss_D_fake 0.000264
[262/5000][5/535][26689] Loss_D: -0.032718 Loss_G: 0.008530 Loss_D_real: -0.024649 Loss_D_fake 0.008070
[262/5000][10/535][26690] Loss_D: -0.034422 Loss_G: 0.015591 Loss_D_real: -0.025965 Loss_D_fake 0.008457
[262/5000][15/535][26691] Loss_D: -0.033456 Loss_G: 0.022919 Loss_D_real: -0.013348 Loss_D_fake 0.020107
[262/5000][20/535][26692] Loss_D: -0.032879 Loss_G: 0.034770 Loss_D_real: -0.037273 Loss_D_fake -0.004395
[262/5000][25/535][26693] Loss_D: -0.032858 Loss_G: -0.002077 Loss_D_real: -0.018195 Loss_D_fake 0.014663
[262/5000][30/535][26694] Loss_D: -0.031633 Loss_G: 0.028937 Loss_D_real: -0.033899 Loss_D_fake -0.002266
[262/5000][35/535][26695] Loss_D: -0.031007 Loss_G: -0.018730 Loss_D_real: 0.001597 Loss_D_fake 0.032605
[262/5000][40/535][26696] Loss_D: -0.031499 Loss_G: 0.029335 Loss_D_real: -0.031689 Loss_D_fake -0.000190
[262/5000][45/535][26697] Loss_D: -0.033600 Loss_G: 0.029826 Loss_D_real: -0.029339 Loss_D_fake 0.004261
[262/5000][50/535][26698] Loss_D: -0.034251 Loss_G: 0.036864 Loss_D_real: -0.039350 Loss_D_fake -0.005099
[262/5000][55/535][26699] Loss_D: -0.032000 Loss_G: 0.006446 Loss_D_real: -0.015158 Loss_D_fake 0.016841
[262/5000][60/535][26700] Loss_D: -0.033911 Loss_G: 0.011390 Loss_D_real: -0.014354 Loss_D_fake 0.019557
[262/5000][65/535][26701] Loss_D: -0.033402 Loss_G: 0.003026 Loss_D_real: -0.016650 Loss_D_fake 0.016752
[262/5000][70/535][26702] Loss_D: -0.033290 Loss_G: 0.019148 Loss_D_real: -0.017608 Loss_D_fake 0.015682
[262/5000][75/535][26703] Loss_D: -0.033203 Loss_G: 0.039606 Loss_D_real: -0.045484 Loss_D_fake -0.012281
[262/5000][80/535][26704] Loss_D: -0.033060 Loss_G: -0.003470 Loss_D_real: -0.003890 Loss_D_fake 0.029170
[262/5000][85/535][26705] Loss_D: -0.033859 Loss_G: 0.008445 Loss_D_real: -0.012418 Loss_D_fake 0.021442
[262/5000][90/535][26706] Loss_D: -0.033506 Loss_G: 0.023132 Loss_D_real: -0.025497 Loss_D_fake 0.008009
[262/5000][95/535][26707] Loss_D: -0.033655 Loss_G: -0.012961 Loss_D_real: -0.006641 Loss_D_fake 0.027014
[262/5000][100/535][26708] Loss_D: -0.033044 Loss_G: 0.033860 Loss_D_real: -0.038694 Loss_D_fake -0.005650
[262/5000][105/535][26709] Loss_D: -0.033319 Loss_G: 0.024397 Loss_D_real: -0.033564 Loss_D_fake -0.000245
[262/5000][110/535][26710] Loss_D: -0.032796 Loss_G: 0.004428 Loss_D_real: -0.014852 Loss_D_fake 0.017944
[262/5000][115/535][26711] Loss_D: -0.031974 Loss_G: 0.008754 Loss_D_real: -0.010693 Loss_D_fake 0.021281
[262/5000][120/535][26712] Loss_D: -0.032805 Loss_G: 0.014765 Loss_D_real: -0.012275 Loss_D_fake 0.020531
[262/5000][125/535][26713] Loss_D: -0.032444 Loss_G: 0.031914 Loss_D_real: -0.038336 Loss_D_fake -0.005891
[262/5000][130/535][26714] Loss_D: -0.032995 Loss_G: 0.024686 Loss_D_real: -0.028738 Loss_D_fake 0.004256
[262/5000][135/535][26715] Loss_D: -0.033401 Loss_G: 0.024936 Loss_D_real: -0.028989 Loss_D_fake 0.004413
[262/5000][140/535][26716] Loss_D: -0.033511 Loss_G: 0.027184 Loss_D_real: -0.034313 Loss_D_fake -0.000802
[262/5000][145/535][26717] Loss_D: -0.033024 Loss_G: 0.011725 Loss_D_real: -0.020629 Loss_D_fake 0.012394
[262/5000][150/535][26718] Loss_D: -0.032525 Loss_G: 0.018399 Loss_D_real: -0.024092 Loss_D_fake 0.008433
[262/5000][155/535][26719] Loss_D: -0.033198 Loss_G: 0.015491 Loss_D_real: -0.014714 Loss_D_fake 0.018484
[262/5000][160/535][26720] Loss_D: -0.031927 Loss_G: 0.027773 Loss_D_real: -0.037233 Loss_D_fake -0.005306
[262/5000][165/535][26721] Loss_D: -0.034017 Loss_G: 0.016243 Loss_D_real: -0.016480 Loss_D_fake 0.017537
[262/5000][170/535][26722] Loss_D: -0.033147 Loss_G: 0.028209 Loss_D_real: -0.031325 Loss_D_fake 0.001822
[262/5000][175/535][26723] Loss_D: -0.035069 Loss_G: 0.022037 Loss_D_real: -0.025420 Loss_D_fake 0.009648
[262/5000][180/535][26724] Loss_D: -0.034280 Loss_G: 0.032221 Loss_D_real: -0.038965 Loss_D_fake -0.004686
[262/5000][185/535][26725] Loss_D: -0.033383 Loss_G: 0.012527 Loss_D_real: -0.021370 Loss_D_fake 0.012013
[262/5000][190/535][26726] Loss_D: -0.034214 Loss_G: 0.008977 Loss_D_real: -0.010899 Loss_D_fake 0.023315
[262/5000][195/535][26727] Loss_D: -0.033889 Loss_G: 0.003799 Loss_D_real: -0.021315 Loss_D_fake 0.012574
[262/5000][200/535][26728] Loss_D: -0.032490 Loss_G: 0.035585 Loss_D_real: -0.036574 Loss_D_fake -0.004084
[262/5000][205/535][26729] Loss_D: -0.032677 Loss_G: 0.023850 Loss_D_real: -0.030984 Loss_D_fake 0.001693
[262/5000][210/535][26730] Loss_D: -0.032260 Loss_G: 0.025520 Loss_D_real: -0.020366 Loss_D_fake 0.011894
[262/5000][215/535][26731] Loss_D: -0.033108 Loss_G: 0.010799 Loss_D_real: -0.020909 Loss_D_fake 0.012200
[262/5000][220/535][26732] Loss_D: -0.033470 Loss_G: -0.001469 Loss_D_real: -0.006652 Loss_D_fake 0.026818
[262/5000][225/535][26733] Loss_D: -0.034498 Loss_G: 0.030675 Loss_D_real: -0.033177 Loss_D_fake 0.001321
[262/5000][230/535][26734] Loss_D: -0.033109 Loss_G: -0.001119 Loss_D_real: -0.005372 Loss_D_fake 0.027737
[262/5000][235/535][26735] Loss_D: -0.034138 Loss_G: 0.011640 Loss_D_real: -0.017857 Loss_D_fake 0.016282
[262/5000][240/535][26736] Loss_D: -0.032883 Loss_G: 0.025242 Loss_D_real: -0.027432 Loss_D_fake 0.005451
[262/5000][245/535][26737] Loss_D: -0.033942 Loss_G: 0.033632 Loss_D_real: -0.035561 Loss_D_fake -0.001619
[262/5000][250/535][26738] Loss_D: -0.032817 Loss_G: 0.006307 Loss_D_real: -0.015437 Loss_D_fake 0.017381
[262/5000][255/535][26739] Loss_D: -0.033143 Loss_G: -0.005071 Loss_D_real: -0.007394 Loss_D_fake 0.025749
[262/5000][260/535][26740] Loss_D: -0.032250 Loss_G: 0.039271 Loss_D_real: -0.040789 Loss_D_fake -0.008540
[262/5000][265/535][26741] Loss_D: -0.032758 Loss_G: -0.006414 Loss_D_real: -0.008652 Loss_D_fake 0.024107
[262/5000][270/535][26742] Loss_D: -0.031205 Loss_G: 0.036936 Loss_D_real: -0.038982 Loss_D_fake -0.007777
[262/5000][275/535][26743] Loss_D: -0.033337 Loss_G: 0.020739 Loss_D_real: -0.025311 Loss_D_fake 0.008026
[262/5000][280/535][26744] Loss_D: -0.035963 Loss_G: 0.015225 Loss_D_real: -0.020616 Loss_D_fake 0.015346
[262/5000][285/535][26745] Loss_D: -0.031998 Loss_G: 0.030337 Loss_D_real: -0.027788 Loss_D_fake 0.004210
[262/5000][290/535][26746] Loss_D: -0.033995 Loss_G: 0.004572 Loss_D_real: -0.017003 Loss_D_fake 0.016992
[262/5000][295/535][26747] Loss_D: -0.032455 Loss_G: 0.040506 Loss_D_real: -0.038474 Loss_D_fake -0.006019
[262/5000][300/535][26748] Loss_D: -0.034155 Loss_G: 0.009020 Loss_D_real: -0.014059 Loss_D_fake 0.020096
[262/5000][305/535][26749] Loss_D: -0.034060 Loss_G: 0.008275 Loss_D_real: -0.019598 Loss_D_fake 0.014462
[262/5000][310/535][26750] Loss_D: -0.034678 Loss_G: 0.024267 Loss_D_real: -0.034051 Loss_D_fake 0.000627
[262/5000][315/535][26751] Loss_D: -0.033804 Loss_G: 0.022614 Loss_D_real: -0.023086 Loss_D_fake 0.010718
[262/5000][320/535][26752] Loss_D: -0.032252 Loss_G: 0.014107 Loss_D_real: -0.017534 Loss_D_fake 0.014718
[262/5000][325/535][26753] Loss_D: -0.033073 Loss_G: 0.016886 Loss_D_real: -0.023014 Loss_D_fake 0.010059
[262/5000][330/535][26754] Loss_D: -0.033953 Loss_G: 0.017216 Loss_D_real: -0.020125 Loss_D_fake 0.013828
[262/5000][335/535][26755] Loss_D: -0.032134 Loss_G: 0.034774 Loss_D_real: -0.037530 Loss_D_fake -0.005396
[262/5000][340/535][26756] Loss_D: -0.033190 Loss_G: 0.001300 Loss_D_real: -0.005081 Loss_D_fake 0.028109
[262/5000][345/535][26757] Loss_D: -0.031808 Loss_G: 0.033476 Loss_D_real: -0.045455 Loss_D_fake -0.013647
[262/5000][350/535][26758] Loss_D: -0.032953 Loss_G: 0.011624 Loss_D_real: -0.017537 Loss_D_fake 0.015415
[262/5000][355/535][26759] Loss_D: -0.033113 Loss_G: -0.006890 Loss_D_real: -0.007631 Loss_D_fake 0.025482
[262/5000][360/535][26760] Loss_D: -0.033707 Loss_G: 0.022246 Loss_D_real: -0.035855 Loss_D_fake -0.002148
[262/5000][365/535][26761] Loss_D: -0.034491 Loss_G: 0.026815 Loss_D_real: -0.021913 Loss_D_fake 0.012579
[262/5000][370/535][26762] Loss_D: -0.033559 Loss_G: 0.013449 Loss_D_real: -0.014459 Loss_D_fake 0.019100
[262/5000][375/535][26763] Loss_D: -0.034431 Loss_G: 0.003753 Loss_D_real: -0.012174 Loss_D_fake 0.022258
[262/5000][380/535][26764] Loss_D: -0.034734 Loss_G: 0.021238 Loss_D_real: -0.032347 Loss_D_fake 0.002386
[262/5000][385/535][26765] Loss_D: -0.033148 Loss_G: -0.005096 Loss_D_real: -0.015680 Loss_D_fake 0.017468
[262/5000][390/535][26766] Loss_D: -0.032811 Loss_G: 0.017614 Loss_D_real: -0.026630 Loss_D_fake 0.006181
[262/5000][395/535][26767] Loss_D: -0.030710 Loss_G: 0.038285 Loss_D_real: -0.044303 Loss_D_fake -0.013593
[262/5000][400/535][26768] Loss_D: -0.032115 Loss_G: -0.007107 Loss_D_real: 0.000321 Loss_D_fake 0.032436
[262/5000][405/535][26769] Loss_D: -0.031304 Loss_G: 0.028626 Loss_D_real: -0.034286 Loss_D_fake -0.002982
[262/5000][410/535][26770] Loss_D: -0.033920 Loss_G: 0.011697 Loss_D_real: -0.024695 Loss_D_fake 0.009225
[262/5000][415/535][26771] Loss_D: -0.033106 Loss_G: 0.005130 Loss_D_real: -0.013862 Loss_D_fake 0.019244
[262/5000][420/535][26772] Loss_D: -0.034133 Loss_G: 0.027718 Loss_D_real: -0.030073 Loss_D_fake 0.004060
[262/5000][425/535][26773] Loss_D: -0.033901 Loss_G: -0.010221 Loss_D_real: -0.010216 Loss_D_fake 0.023685
[262/5000][430/535][26774] Loss_D: -0.032880 Loss_G: 0.028557 Loss_D_real: -0.032283 Loss_D_fake 0.000597
[262/5000][435/535][26775] Loss_D: -0.032894 Loss_G: 0.014305 Loss_D_real: -0.019720 Loss_D_fake 0.013173
[262/5000][440/535][26776] Loss_D: -0.034068 Loss_G: 0.022861 Loss_D_real: -0.031023 Loss_D_fake 0.003045
[262/5000][445/535][26777] Loss_D: -0.032511 Loss_G: 0.022520 Loss_D_real: -0.033150 Loss_D_fake -0.000640
[262/5000][450/535][26778] Loss_D: -0.033004 Loss_G: 0.011665 Loss_D_real: -0.014551 Loss_D_fake 0.018452
[262/5000][455/535][26779] Loss_D: -0.032180 Loss_G: 0.035086 Loss_D_real: -0.038336 Loss_D_fake -0.006156
[262/5000][460/535][26780] Loss_D: -0.035064 Loss_G: 0.021160 Loss_D_real: -0.026945 Loss_D_fake 0.008119
[262/5000][465/535][26781] Loss_D: -0.032422 Loss_G: 0.007447 Loss_D_real: -0.015266 Loss_D_fake 0.017156
[262/5000][470/535][26782] Loss_D: -0.032511 Loss_G: 0.021084 Loss_D_real: -0.030288 Loss_D_fake 0.002223
[262/5000][475/535][26783] Loss_D: -0.032825 Loss_G: -0.009122 Loss_D_real: -0.005864 Loss_D_fake 0.026960
[262/5000][480/535][26784] Loss_D: -0.032823 Loss_G: 0.000285 Loss_D_real: -0.019662 Loss_D_fake 0.013162
[262/5000][485/535][26785] Loss_D: -0.033297 Loss_G: 0.023457 Loss_D_real: -0.023348 Loss_D_fake 0.009950
[262/5000][490/535][26786] Loss_D: -0.033757 Loss_G: 0.003220 Loss_D_real: -0.014866 Loss_D_fake 0.018891
[262/5000][495/535][26787] Loss_D: -0.032995 Loss_G: 0.004212 Loss_D_real: -0.010095 Loss_D_fake 0.022900
[262/5000][500/535][26788] Loss_D: -0.031533 Loss_G: 0.024845 Loss_D_real: -0.035690 Loss_D_fake -0.004158
[262/5000][505/535][26789] Loss_D: -0.030950 Loss_G: 0.039827 Loss_D_real: -0.039217 Loss_D_fake -0.008267
[262/5000][510/535][26790] Loss_D: -0.032576 Loss_G: 0.018215 Loss_D_real: -0.019675 Loss_D_fake 0.012901
[262/5000][515/535][26791] Loss_D: -0.033311 Loss_G: 0.021787 Loss_D_real: -0.024036 Loss_D_fake 0.009275
[262/5000][520/535][26792] Loss_D: -0.031792 Loss_G: -0.013826 Loss_D_real: -0.002205 Loss_D_fake 0.029586
[262/5000][525/535][26793] Loss_D: -0.032096 Loss_G: 0.010490 Loss_D_real: -0.018172 Loss_D_fake 0.013924
[262/5000][530/535][26794] Loss_D: -0.031219 Loss_G: 0.030874 Loss_D_real: -0.041875 Loss_D_fake -0.010656
[262/5000][535/535][26795] Loss_D: -0.033716 Loss_G: 0.012750 Loss_D_real: -0.009719 Loss_D_fake 0.023998
[263/5000][5/535][26796] Loss_D: -0.034131 Loss_G: 0.020802 Loss_D_real: -0.022023 Loss_D_fake 0.012108
[263/5000][10/535][26797] Loss_D: -0.034557 Loss_G: 0.032216 Loss_D_real: -0.028624 Loss_D_fake 0.005933
[263/5000][15/535][26798] Loss_D: -0.035094 Loss_G: 0.015706 Loss_D_real: -0.025278 Loss_D_fake 0.009816
[263/5000][20/535][26799] Loss_D: -0.030703 Loss_G: -0.000323 Loss_D_real: -0.003669 Loss_D_fake 0.027034
[263/5000][25/535][26800] Loss_D: -0.033446 Loss_G: 0.019129 Loss_D_real: -0.019281 Loss_D_fake 0.014165
[263/5000][30/535][26801] Loss_D: -0.032479 Loss_G: 0.041419 Loss_D_real: -0.038950 Loss_D_fake -0.006472
[263/5000][35/535][26802] Loss_D: -0.034615 Loss_G: 0.002975 Loss_D_real: -0.016206 Loss_D_fake 0.018409
[263/5000][40/535][26803] Loss_D: -0.034127 Loss_G: 0.012458 Loss_D_real: -0.020959 Loss_D_fake 0.013167
[263/5000][45/535][26804] Loss_D: -0.034165 Loss_G: 0.024496 Loss_D_real: -0.037051 Loss_D_fake -0.002886
[263/5000][50/535][26805] Loss_D: -0.033725 Loss_G: -0.001132 Loss_D_real: -0.013518 Loss_D_fake 0.020207
[263/5000][55/535][26806] Loss_D: -0.033378 Loss_G: 0.033652 Loss_D_real: -0.032815 Loss_D_fake 0.000563
[263/5000][60/535][26807] Loss_D: -0.032606 Loss_G: 0.001525 Loss_D_real: -0.001211 Loss_D_fake 0.031394
[263/5000][65/535][26808] Loss_D: -0.032687 Loss_G: 0.025042 Loss_D_real: -0.020448 Loss_D_fake 0.012239
[263/5000][70/535][26809] Loss_D: -0.035122 Loss_G: 0.017227 Loss_D_real: -0.024683 Loss_D_fake 0.010439
[263/5000][75/535][26810] Loss_D: -0.032700 Loss_G: 0.007427 Loss_D_real: -0.014999 Loss_D_fake 0.017701
[263/5000][80/535][26811] Loss_D: -0.033054 Loss_G: 0.031977 Loss_D_real: -0.033048 Loss_D_fake 0.000005
[263/5000][85/535][26812] Loss_D: -0.032564 Loss_G: 0.014525 Loss_D_real: -0.020041 Loss_D_fake 0.012522
[263/5000][90/535][26813] Loss_D: -0.033358 Loss_G: -0.006988 Loss_D_real: -0.004128 Loss_D_fake 0.029230
[263/5000][95/535][26814] Loss_D: -0.031495 Loss_G: 0.034625 Loss_D_real: -0.037173 Loss_D_fake -0.005678
[263/5000][100/535][26815] Loss_D: -0.033229 Loss_G: -0.012893 Loss_D_real: -0.004461 Loss_D_fake 0.028767
[263/5000][105/535][26816] Loss_D: -0.029733 Loss_G: 0.029554 Loss_D_real: -0.022531 Loss_D_fake 0.007202
[263/5000][110/535][26817] Loss_D: -0.031863 Loss_G: 0.023883 Loss_D_real: -0.026608 Loss_D_fake 0.005255
[263/5000][115/535][26818] Loss_D: -0.033554 Loss_G: 0.021894 Loss_D_real: -0.016566 Loss_D_fake 0.016988
[263/5000][120/535][26819] Loss_D: -0.033712 Loss_G: 0.009136 Loss_D_real: -0.019413 Loss_D_fake 0.014299
[263/5000][125/535][26820] Loss_D: -0.033262 Loss_G: 0.007682 Loss_D_real: -0.014945 Loss_D_fake 0.018317
[263/5000][130/535][26821] Loss_D: -0.032888 Loss_G: 0.030838 Loss_D_real: -0.035578 Loss_D_fake -0.002690
[263/5000][135/535][26822] Loss_D: -0.034106 Loss_G: 0.000016 Loss_D_real: -0.014054 Loss_D_fake 0.020052
[263/5000][140/535][26823] Loss_D: -0.031476 Loss_G: 0.026955 Loss_D_real: -0.020966 Loss_D_fake 0.010510
[263/5000][145/535][26824] Loss_D: -0.033182 Loss_G: 0.011896 Loss_D_real: -0.019013 Loss_D_fake 0.014168
[263/5000][150/535][26825] Loss_D: -0.035097 Loss_G: 0.018926 Loss_D_real: -0.021152 Loss_D_fake 0.013945
[263/5000][155/535][26826] Loss_D: -0.033415 Loss_G: 0.038073 Loss_D_real: -0.045358 Loss_D_fake -0.011943
[263/5000][160/535][26827] Loss_D: -0.034033 Loss_G: -0.006418 Loss_D_real: -0.003831 Loss_D_fake 0.030202
[263/5000][165/535][26828] Loss_D: -0.033360 Loss_G: 0.017575 Loss_D_real: -0.024396 Loss_D_fake 0.008964
[263/5000][170/535][26829] Loss_D: -0.033431 Loss_G: 0.019316 Loss_D_real: -0.016475 Loss_D_fake 0.016956
[263/5000][175/535][26830] Loss_D: -0.032975 Loss_G: 0.017210 Loss_D_real: -0.018850 Loss_D_fake 0.014125
[263/5000][180/535][26831] Loss_D: -0.034526 Loss_G: 0.004334 Loss_D_real: -0.011903 Loss_D_fake 0.022624
[263/5000][185/535][26832] Loss_D: -0.034749 Loss_G: 0.023222 Loss_D_real: -0.024125 Loss_D_fake 0.010624
[263/5000][190/535][26833] Loss_D: -0.033641 Loss_G: 0.031089 Loss_D_real: -0.033905 Loss_D_fake -0.000264
[263/5000][195/535][26834] Loss_D: -0.034263 Loss_G: 0.005831 Loss_D_real: -0.012072 Loss_D_fake 0.022191
[263/5000][200/535][26835] Loss_D: -0.034365 Loss_G: 0.012629 Loss_D_real: -0.023927 Loss_D_fake 0.010438
[263/5000][205/535][26836] Loss_D: -0.033404 Loss_G: 0.020779 Loss_D_real: -0.025838 Loss_D_fake 0.007566
[263/5000][210/535][26837] Loss_D: -0.031860 Loss_G: 0.039821 Loss_D_real: -0.039425 Loss_D_fake -0.007565
[263/5000][215/535][26838] Loss_D: -0.032001 Loss_G: 0.003584 Loss_D_real: -0.010128 Loss_D_fake 0.021873
[263/5000][220/535][26839] Loss_D: -0.032933 Loss_G: 0.031270 Loss_D_real: -0.030917 Loss_D_fake 0.002016
[263/5000][225/535][26840] Loss_D: -0.032913 Loss_G: 0.022089 Loss_D_real: -0.020809 Loss_D_fake 0.012104
[263/5000][230/535][26841] Loss_D: -0.033331 Loss_G: -0.002368 Loss_D_real: -0.017005 Loss_D_fake 0.016326
[263/5000][235/535][26842] Loss_D: -0.032964 Loss_G: 0.019927 Loss_D_real: -0.026222 Loss_D_fake 0.006742
[263/5000][240/535][26843] Loss_D: -0.031845 Loss_G: 0.018342 Loss_D_real: -0.025030 Loss_D_fake 0.006815
[263/5000][245/535][26844] Loss_D: -0.029977 Loss_G: 0.030366 Loss_D_real: -0.031290 Loss_D_fake -0.001313
[263/5000][250/535][26845] Loss_D: -0.031857 Loss_G: 0.014011 Loss_D_real: -0.021899 Loss_D_fake 0.009958
[263/5000][255/535][26846] Loss_D: -0.033067 Loss_G: 0.017381 Loss_D_real: -0.025967 Loss_D_fake 0.007100
[263/5000][260/535][26847] Loss_D: -0.031859 Loss_G: 0.026867 Loss_D_real: -0.039851 Loss_D_fake -0.007992
[263/5000][265/535][26848] Loss_D: -0.033189 Loss_G: -0.008231 Loss_D_real: -0.006783 Loss_D_fake 0.026406
[263/5000][270/535][26849] Loss_D: -0.031759 Loss_G: 0.025351 Loss_D_real: -0.028801 Loss_D_fake 0.002958
[263/5000][275/535][26850] Loss_D: -0.032895 Loss_G: 0.032574 Loss_D_real: -0.028439 Loss_D_fake 0.004456
[263/5000][280/535][26851] Loss_D: -0.033979 Loss_G: -0.004165 Loss_D_real: -0.013905 Loss_D_fake 0.020074
[263/5000][285/535][26852] Loss_D: -0.033438 Loss_G: 0.031103 Loss_D_real: -0.036461 Loss_D_fake -0.003023
[263/5000][290/535][26853] Loss_D: -0.033346 Loss_G: 0.008789 Loss_D_real: -0.015245 Loss_D_fake 0.018101
[263/5000][295/535][26854] Loss_D: -0.032576 Loss_G: 0.033206 Loss_D_real: -0.034279 Loss_D_fake -0.001703
[263/5000][300/535][26855] Loss_D: -0.034089 Loss_G: 0.008910 Loss_D_real: -0.019231 Loss_D_fake 0.014858
[263/5000][305/535][26856] Loss_D: -0.032684 Loss_G: 0.005874 Loss_D_real: -0.021800 Loss_D_fake 0.010884
[263/5000][310/535][26857] Loss_D: -0.032905 Loss_G: 0.035510 Loss_D_real: -0.032183 Loss_D_fake 0.000722
[263/5000][315/535][26858] Loss_D: -0.033391 Loss_G: 0.011282 Loss_D_real: -0.026019 Loss_D_fake 0.007372
[263/5000][320/535][26859] Loss_D: -0.032494 Loss_G: 0.007451 Loss_D_real: -0.011946 Loss_D_fake 0.020547
[263/5000][325/535][26860] Loss_D: -0.033238 Loss_G: 0.008028 Loss_D_real: -0.022658 Loss_D_fake 0.010580
[263/5000][330/535][26861] Loss_D: -0.032395 Loss_G: 0.027436 Loss_D_real: -0.027176 Loss_D_fake 0.005219
[263/5000][335/535][26862] Loss_D: -0.035096 Loss_G: 0.002347 Loss_D_real: -0.010646 Loss_D_fake 0.024450
[263/5000][340/535][26863] Loss_D: -0.033906 Loss_G: 0.008859 Loss_D_real: -0.021474 Loss_D_fake 0.012432
[263/5000][345/535][26864] Loss_D: -0.035691 Loss_G: 0.023489 Loss_D_real: -0.024722 Loss_D_fake 0.010969
[263/5000][350/535][26865] Loss_D: -0.035122 Loss_G: 0.020423 Loss_D_real: -0.016923 Loss_D_fake 0.018198
[263/5000][355/535][26866] Loss_D: -0.034488 Loss_G: 0.010756 Loss_D_real: -0.021818 Loss_D_fake 0.012670
[263/5000][360/535][26867] Loss_D: -0.032147 Loss_G: 0.040932 Loss_D_real: -0.035163 Loss_D_fake -0.003016
[263/5000][365/535][26868] Loss_D: -0.031922 Loss_G: -0.018041 Loss_D_real: -0.000386 Loss_D_fake 0.031536
[263/5000][370/535][26869] Loss_D: -0.031621 Loss_G: 0.026815 Loss_D_real: -0.032480 Loss_D_fake -0.000859
[263/5000][375/535][26870] Loss_D: -0.033355 Loss_G: -0.009220 Loss_D_real: -0.006925 Loss_D_fake 0.026430
[263/5000][380/535][26871] Loss_D: -0.033150 Loss_G: 0.016463 Loss_D_real: -0.022217 Loss_D_fake 0.010932
[263/5000][385/535][26872] Loss_D: -0.033438 Loss_G: 0.013357 Loss_D_real: -0.020916 Loss_D_fake 0.012523
[263/5000][390/535][26873] Loss_D: -0.034382 Loss_G: 0.034271 Loss_D_real: -0.035245 Loss_D_fake -0.000863
[263/5000][395/535][26874] Loss_D: -0.034624 Loss_G: 0.004388 Loss_D_real: -0.016212 Loss_D_fake 0.018412
[263/5000][400/535][26875] Loss_D: -0.033941 Loss_G: 0.017060 Loss_D_real: -0.030951 Loss_D_fake 0.002991
[263/5000][405/535][26876] Loss_D: -0.034931 Loss_G: 0.024065 Loss_D_real: -0.022459 Loss_D_fake 0.012472
[263/5000][410/535][26877] Loss_D: -0.031441 Loss_G: -0.017912 Loss_D_real: 0.003456 Loss_D_fake 0.034897
[263/5000][415/535][26878] Loss_D: -0.032781 Loss_G: 0.022613 Loss_D_real: -0.032619 Loss_D_fake 0.000162
[263/5000][420/535][26879] Loss_D: -0.033162 Loss_G: 0.011916 Loss_D_real: -0.019858 Loss_D_fake 0.013304
[263/5000][425/535][26880] Loss_D: -0.035970 Loss_G: 0.009498 Loss_D_real: -0.020242 Loss_D_fake 0.015728
[263/5000][430/535][26881] Loss_D: -0.033973 Loss_G: 0.012377 Loss_D_real: -0.016051 Loss_D_fake 0.017922
[263/5000][435/535][26882] Loss_D: -0.035294 Loss_G: 0.018806 Loss_D_real: -0.020903 Loss_D_fake 0.014390
[263/5000][440/535][26883] Loss_D: -0.032591 Loss_G: 0.035015 Loss_D_real: -0.032187 Loss_D_fake 0.000404
[263/5000][445/535][26884] Loss_D: -0.031921 Loss_G: -0.012726 Loss_D_real: -0.000704 Loss_D_fake 0.031217
[263/5000][450/535][26885] Loss_D: -0.033169 Loss_G: 0.023980 Loss_D_real: -0.027588 Loss_D_fake 0.005580
[263/5000][455/535][26886] Loss_D: -0.035436 Loss_G: 0.000377 Loss_D_real: -0.011627 Loss_D_fake 0.023808
[263/5000][460/535][26887] Loss_D: -0.033544 Loss_G: 0.012178 Loss_D_real: -0.015872 Loss_D_fake 0.017672
[263/5000][465/535][26888] Loss_D: -0.032639 Loss_G: 0.038200 Loss_D_real: -0.039925 Loss_D_fake -0.007285
[263/5000][470/535][26889] Loss_D: -0.033019 Loss_G: -0.003872 Loss_D_real: -0.010001 Loss_D_fake 0.023018
[263/5000][475/535][26890] Loss_D: -0.034382 Loss_G: 0.016074 Loss_D_real: -0.020744 Loss_D_fake 0.013638
[263/5000][480/535][26891] Loss_D: -0.033430 Loss_G: 0.004900 Loss_D_real: -0.015635 Loss_D_fake 0.017795
[263/5000][485/535][26892] Loss_D: -0.033054 Loss_G: 0.006544 Loss_D_real: -0.013269 Loss_D_fake 0.019785
[263/5000][490/535][26893] Loss_D: -0.033400 Loss_G: 0.017235 Loss_D_real: -0.021577 Loss_D_fake 0.011824
[263/5000][495/535][26894] Loss_D: -0.032775 Loss_G: -0.000078 Loss_D_real: -0.006540 Loss_D_fake 0.026235
[263/5000][500/535][26895] Loss_D: -0.034317 Loss_G: 0.025384 Loss_D_real: -0.029237 Loss_D_fake 0.005081
[263/5000][505/535][26896] Loss_D: -0.033442 Loss_G: 0.028453 Loss_D_real: -0.025236 Loss_D_fake 0.008206
[263/5000][510/535][26897] Loss_D: -0.033675 Loss_G: 0.027482 Loss_D_real: -0.028315 Loss_D_fake 0.005360
[263/5000][515/535][26898] Loss_D: -0.033415 Loss_G: 0.024108 Loss_D_real: -0.028180 Loss_D_fake 0.005235
[263/5000][520/535][26899] Loss_D: -0.035019 Loss_G: 0.005016 Loss_D_real: -0.015030 Loss_D_fake 0.019990
[263/5000][525/535][26900] Loss_D: -0.031130 Loss_G: 0.045383 Loss_D_real: -0.039202 Loss_D_fake -0.008072
[263/5000][530/535][26901] Loss_D: -0.033415 Loss_G: 0.002470 Loss_D_real: -0.014221 Loss_D_fake 0.019194
[263/5000][535/535][26902] Loss_D: -0.035110 Loss_G: 0.020225 Loss_D_real: -0.015533 Loss_D_fake 0.019578
[264/5000][5/535][26903] Loss_D: -0.032385 Loss_G: 0.036475 Loss_D_real: -0.040472 Loss_D_fake -0.008087
[264/5000][10/535][26904] Loss_D: -0.034086 Loss_G: 0.005839 Loss_D_real: -0.018202 Loss_D_fake 0.015885
[264/5000][15/535][26905] Loss_D: -0.033153 Loss_G: 0.021753 Loss_D_real: -0.027182 Loss_D_fake 0.005971
[264/5000][20/535][26906] Loss_D: -0.034517 Loss_G: 0.018837 Loss_D_real: -0.025781 Loss_D_fake 0.008736
[264/5000][25/535][26907] Loss_D: -0.032668 Loss_G: 0.011432 Loss_D_real: -0.019198 Loss_D_fake 0.013470
[264/5000][30/535][26908] Loss_D: -0.032030 Loss_G: 0.041010 Loss_D_real: -0.040648 Loss_D_fake -0.008619
[264/5000][35/535][26909] Loss_D: -0.032437 Loss_G: -0.010887 Loss_D_real: -0.001346 Loss_D_fake 0.031091
[264/5000][40/535][26910] Loss_D: -0.032476 Loss_G: 0.018626 Loss_D_real: -0.029096 Loss_D_fake 0.003380
[264/5000][45/535][26911] Loss_D: -0.031689 Loss_G: 0.036489 Loss_D_real: -0.039553 Loss_D_fake -0.007864
[264/5000][50/535][26912] Loss_D: -0.034140 Loss_G: -0.008017 Loss_D_real: -0.008532 Loss_D_fake 0.025609
[264/5000][55/535][26913] Loss_D: -0.031605 Loss_G: 0.014309 Loss_D_real: -0.026152 Loss_D_fake 0.005454
[264/5000][60/535][26914] Loss_D: -0.034721 Loss_G: 0.016111 Loss_D_real: -0.016960 Loss_D_fake 0.017761
[264/5000][65/535][26915] Loss_D: -0.033268 Loss_G: 0.026537 Loss_D_real: -0.024686 Loss_D_fake 0.008582
[264/5000][70/535][26916] Loss_D: -0.033629 Loss_G: -0.004198 Loss_D_real: -0.020155 Loss_D_fake 0.013474
[264/5000][75/535][26917] Loss_D: -0.033183 Loss_G: 0.025585 Loss_D_real: -0.030110 Loss_D_fake 0.003073
[264/5000][80/535][26918] Loss_D: -0.033686 Loss_G: 0.010880 Loss_D_real: -0.011311 Loss_D_fake 0.022375
[264/5000][85/535][26919] Loss_D: -0.033799 Loss_G: -0.005623 Loss_D_real: -0.009884 Loss_D_fake 0.023914
[264/5000][90/535][26920] Loss_D: -0.032534 Loss_G: 0.025617 Loss_D_real: -0.031653 Loss_D_fake 0.000881
[264/5000][95/535][26921] Loss_D: -0.033681 Loss_G: 0.022226 Loss_D_real: -0.027017 Loss_D_fake 0.006664
[264/5000][100/535][26922] Loss_D: -0.033042 Loss_G: -0.002208 Loss_D_real: -0.005626 Loss_D_fake 0.027416
[264/5000][105/535][26923] Loss_D: -0.031938 Loss_G: 0.035520 Loss_D_real: -0.038800 Loss_D_fake -0.006862
[264/5000][110/535][26924] Loss_D: -0.032156 Loss_G: 0.020126 Loss_D_real: -0.029076 Loss_D_fake 0.003080
[264/5000][115/535][26925] Loss_D: -0.033059 Loss_G: 0.005401 Loss_D_real: -0.016611 Loss_D_fake 0.016448
[264/5000][120/535][26926] Loss_D: -0.033318 Loss_G: -0.001195 Loss_D_real: -0.012350 Loss_D_fake 0.020968
[264/5000][125/535][26927] Loss_D: -0.033794 Loss_G: 0.004758 Loss_D_real: -0.020191 Loss_D_fake 0.013603
[264/5000][130/535][26928] Loss_D: -0.034580 Loss_G: 0.005008 Loss_D_real: -0.013552 Loss_D_fake 0.021027
[264/5000][135/535][26929] Loss_D: -0.033688 Loss_G: 0.031570 Loss_D_real: -0.032492 Loss_D_fake 0.001196
[264/5000][140/535][26930] Loss_D: -0.036309 Loss_G: 0.021612 Loss_D_real: -0.023615 Loss_D_fake 0.012694
[264/5000][145/535][26931] Loss_D: -0.034894 Loss_G: 0.030509 Loss_D_real: -0.028442 Loss_D_fake 0.006451
[264/5000][150/535][26932] Loss_D: -0.034503 Loss_G: 0.012206 Loss_D_real: -0.020797 Loss_D_fake 0.013706
[264/5000][155/535][26933] Loss_D: -0.033376 Loss_G: 0.027921 Loss_D_real: -0.039270 Loss_D_fake -0.005894
[264/5000][160/535][26934] Loss_D: -0.033086 Loss_G: 0.020509 Loss_D_real: -0.023571 Loss_D_fake 0.009514
[264/5000][165/535][26935] Loss_D: -0.033894 Loss_G: 0.013391 Loss_D_real: -0.026985 Loss_D_fake 0.006909
[264/5000][170/535][26936] Loss_D: -0.033000 Loss_G: -0.001433 Loss_D_real: -0.007920 Loss_D_fake 0.025080
[264/5000][175/535][26937] Loss_D: -0.031846 Loss_G: 0.034714 Loss_D_real: -0.042191 Loss_D_fake -0.010345
[264/5000][180/535][26938] Loss_D: -0.032494 Loss_G: -0.011839 Loss_D_real: -0.000231 Loss_D_fake 0.032263
[264/5000][185/535][26939] Loss_D: -0.032687 Loss_G: 0.028765 Loss_D_real: -0.029730 Loss_D_fake 0.002957
[264/5000][190/535][26940] Loss_D: -0.032297 Loss_G: 0.035706 Loss_D_real: -0.036646 Loss_D_fake -0.004349
[264/5000][195/535][26941] Loss_D: -0.031562 Loss_G: 0.006763 Loss_D_real: -0.012958 Loss_D_fake 0.018604
[264/5000][200/535][26942] Loss_D: -0.030152 Loss_G: 0.012602 Loss_D_real: -0.011461 Loss_D_fake 0.018691
[264/5000][205/535][26943] Loss_D: -0.032466 Loss_G: 0.004669 Loss_D_real: -0.016696 Loss_D_fake 0.015770
[264/5000][210/535][26944] Loss_D: -0.033851 Loss_G: 0.024140 Loss_D_real: -0.031752 Loss_D_fake 0.002099
[264/5000][215/535][26945] Loss_D: -0.033739 Loss_G: 0.035883 Loss_D_real: -0.032952 Loss_D_fake 0.000787
[264/5000][220/535][26946] Loss_D: -0.032657 Loss_G: -0.003360 Loss_D_real: -0.008812 Loss_D_fake 0.023845
[264/5000][225/535][26947] Loss_D: -0.033880 Loss_G: 0.020427 Loss_D_real: -0.027722 Loss_D_fake 0.006158
[264/5000][230/535][26948] Loss_D: -0.033173 Loss_G: 0.020357 Loss_D_real: -0.028826 Loss_D_fake 0.004347
[264/5000][235/535][26949] Loss_D: -0.034727 Loss_G: 0.019647 Loss_D_real: -0.019071 Loss_D_fake 0.015656
[264/5000][240/535][26950] Loss_D: -0.033389 Loss_G: 0.024519 Loss_D_real: -0.022206 Loss_D_fake 0.011183
[264/5000][245/535][26951] Loss_D: -0.033017 Loss_G: 0.030558 Loss_D_real: -0.032167 Loss_D_fake 0.000851
[264/5000][250/535][26952] Loss_D: -0.032477 Loss_G: -0.012436 Loss_D_real: -0.003874 Loss_D_fake 0.028603
[264/5000][255/535][26953] Loss_D: -0.032602 Loss_G: 0.024258 Loss_D_real: -0.026408 Loss_D_fake 0.006194
[264/5000][260/535][26954] Loss_D: -0.033728 Loss_G: -0.001227 Loss_D_real: -0.007782 Loss_D_fake 0.025946
[264/5000][265/535][26955] Loss_D: -0.032608 Loss_G: 0.020407 Loss_D_real: -0.028250 Loss_D_fake 0.004357
[264/5000][270/535][26956] Loss_D: -0.034427 Loss_G: 0.009638 Loss_D_real: -0.018671 Loss_D_fake 0.015756
[264/5000][275/535][26957] Loss_D: -0.033857 Loss_G: 0.029397 Loss_D_real: -0.034032 Loss_D_fake -0.000175
[264/5000][280/535][26958] Loss_D: -0.033898 Loss_G: 0.027783 Loss_D_real: -0.017856 Loss_D_fake 0.016042
[264/5000][285/535][26959] Loss_D: -0.034534 Loss_G: 0.016738 Loss_D_real: -0.016614 Loss_D_fake 0.017920
[264/5000][290/535][26960] Loss_D: -0.032958 Loss_G: 0.009821 Loss_D_real: -0.022567 Loss_D_fake 0.010391
[264/5000][295/535][26961] Loss_D: -0.034909 Loss_G: 0.010763 Loss_D_real: -0.021192 Loss_D_fake 0.013717
[264/5000][300/535][26962] Loss_D: -0.032819 Loss_G: -0.019467 Loss_D_real: 0.002320 Loss_D_fake 0.035139
[264/5000][305/535][26963] Loss_D: -0.032410 Loss_G: 0.032405 Loss_D_real: -0.046324 Loss_D_fake -0.013913
[264/5000][310/535][26964] Loss_D: -0.032522 Loss_G: 0.016297 Loss_D_real: -0.026619 Loss_D_fake 0.005903
[264/5000][315/535][26965] Loss_D: -0.033973 Loss_G: 0.019981 Loss_D_real: -0.026076 Loss_D_fake 0.007897
[264/5000][320/535][26966] Loss_D: -0.032609 Loss_G: 0.028916 Loss_D_real: -0.040803 Loss_D_fake -0.008194
[264/5000][325/535][26967] Loss_D: -0.033890 Loss_G: 0.026319 Loss_D_real: -0.030181 Loss_D_fake 0.003709
[264/5000][330/535][26968] Loss_D: -0.034441 Loss_G: 0.019617 Loss_D_real: -0.030096 Loss_D_fake 0.004346
[264/5000][335/535][26969] Loss_D: -0.032268 Loss_G: -0.014276 Loss_D_real: 0.001349 Loss_D_fake 0.033617
[264/5000][340/535][26970] Loss_D: -0.033454 Loss_G: 0.027021 Loss_D_real: -0.032346 Loss_D_fake 0.001108
[264/5000][345/535][26971] Loss_D: -0.033219 Loss_G: -0.001398 Loss_D_real: -0.004922 Loss_D_fake 0.028297
[264/5000][350/535][26972] Loss_D: -0.032134 Loss_G: 0.018092 Loss_D_real: -0.025460 Loss_D_fake 0.006674
[264/5000][355/535][26973] Loss_D: -0.033578 Loss_G: -0.002178 Loss_D_real: -0.008431 Loss_D_fake 0.025146
[264/5000][360/535][26974] Loss_D: -0.032386 Loss_G: 0.021193 Loss_D_real: -0.029909 Loss_D_fake 0.002477
[264/5000][365/535][26975] Loss_D: -0.033414 Loss_G: 0.000786 Loss_D_real: -0.011874 Loss_D_fake 0.021540
[264/5000][370/535][26976] Loss_D: -0.034620 Loss_G: 0.016323 Loss_D_real: -0.029442 Loss_D_fake 0.005179
[264/5000][375/535][26977] Loss_D: -0.032854 Loss_G: 0.024132 Loss_D_real: -0.033694 Loss_D_fake -0.000840
[264/5000][380/535][26978] Loss_D: -0.035300 Loss_G: 0.020552 Loss_D_real: -0.026296 Loss_D_fake 0.009004
[264/5000][385/535][26979] Loss_D: -0.032486 Loss_G: 0.030291 Loss_D_real: -0.034341 Loss_D_fake -0.001855
[264/5000][390/535][26980] Loss_D: -0.032785 Loss_G: 0.014070 Loss_D_real: -0.025090 Loss_D_fake 0.007696
[264/5000][395/535][26981] Loss_D: -0.033692 Loss_G: -0.002910 Loss_D_real: -0.015314 Loss_D_fake 0.018378
[264/5000][400/535][26982] Loss_D: -0.032564 Loss_G: 0.039415 Loss_D_real: -0.039938 Loss_D_fake -0.007374
[264/5000][405/535][26983] Loss_D: -0.031776 Loss_G: 0.024118 Loss_D_real: -0.024333 Loss_D_fake 0.007444
[264/5000][410/535][26984] Loss_D: -0.033751 Loss_G: 0.021295 Loss_D_real: -0.019728 Loss_D_fake 0.014023
[264/5000][415/535][26985] Loss_D: -0.032842 Loss_G: 0.009700 Loss_D_real: -0.028288 Loss_D_fake 0.004554
[264/5000][420/535][26986] Loss_D: -0.032920 Loss_G: 0.029294 Loss_D_real: -0.042728 Loss_D_fake -0.009808
[264/5000][425/535][26987] Loss_D: -0.034243 Loss_G: 0.002898 Loss_D_real: -0.016412 Loss_D_fake 0.017831
[264/5000][430/535][26988] Loss_D: -0.033400 Loss_G: 0.025379 Loss_D_real: -0.025305 Loss_D_fake 0.008095
[264/5000][435/535][26989] Loss_D: -0.033843 Loss_G: 0.013207 Loss_D_real: -0.023746 Loss_D_fake 0.010097
[264/5000][440/535][26990] Loss_D: -0.032612 Loss_G: 0.016093 Loss_D_real: -0.025694 Loss_D_fake 0.006918
[264/5000][445/535][26991] Loss_D: -0.033656 Loss_G: 0.016891 Loss_D_real: -0.022215 Loss_D_fake 0.011441
[264/5000][450/535][26992] Loss_D: -0.032738 Loss_G: 0.037472 Loss_D_real: -0.034728 Loss_D_fake -0.001990
[264/5000][455/535][26993] Loss_D: -0.032549 Loss_G: 0.010982 Loss_D_real: -0.017818 Loss_D_fake 0.014731
[264/5000][460/535][26994] Loss_D: -0.032569 Loss_G: -0.001251 Loss_D_real: -0.016525 Loss_D_fake 0.016044
[264/5000][465/535][26995] Loss_D: -0.030494 Loss_G: 0.037205 Loss_D_real: -0.038355 Loss_D_fake -0.007861
[264/5000][470/535][26996] Loss_D: -0.031153 Loss_G: -0.021035 Loss_D_real: 0.004425 Loss_D_fake 0.035578
[264/5000][475/535][26997] Loss_D: -0.032927 Loss_G: 0.009172 Loss_D_real: -0.020619 Loss_D_fake 0.012308
[264/5000][480/535][26998] Loss_D: -0.033416 Loss_G: 0.009419 Loss_D_real: -0.020001 Loss_D_fake 0.013415
[264/5000][485/535][26999] Loss_D: -0.032737 Loss_G: 0.010424 Loss_D_real: -0.018093 Loss_D_fake 0.014644
[264/5000][490/535][27000] Loss_D: -0.033727 Loss_G: 0.015924 Loss_D_real: -0.024284 Loss_D_fake 0.009443
[264/5000][535/535][27001] Loss_D: -0.028405 Loss_G: 0.039568 Loss_D_real: -0.043123 Loss_D_fake -0.014719
[265/5000][5/535][27002] Loss_D: -0.032392 Loss_G: -0.008126 Loss_D_real: -0.016643 Loss_D_fake 0.015748
[265/5000][10/535][27003] Loss_D: -0.033891 Loss_G: 0.014142 Loss_D_real: -0.019974 Loss_D_fake 0.013917
[265/5000][15/535][27004] Loss_D: -0.034007 Loss_G: 0.009171 Loss_D_real: -0.019127 Loss_D_fake 0.014880
[265/5000][20/535][27005] Loss_D: -0.032254 Loss_G: 0.039195 Loss_D_real: -0.040507 Loss_D_fake -0.008252
[265/5000][25/535][27006] Loss_D: -0.033721 Loss_G: 0.029210 Loss_D_real: -0.032242 Loss_D_fake 0.001479
[265/5000][30/535][27007] Loss_D: -0.035544 Loss_G: 0.006609 Loss_D_real: -0.012932 Loss_D_fake 0.022612
[265/5000][35/535][27008] Loss_D: -0.032738 Loss_G: 0.041014 Loss_D_real: -0.043391 Loss_D_fake -0.010652
[265/5000][40/535][27009] Loss_D: -0.032251 Loss_G: 0.007927 Loss_D_real: -0.021003 Loss_D_fake 0.011249
[265/5000][45/535][27010] Loss_D: -0.033317 Loss_G: 0.023578 Loss_D_real: -0.027125 Loss_D_fake 0.006193
[265/5000][50/535][27011] Loss_D: -0.035140 Loss_G: 0.011729 Loss_D_real: -0.020767 Loss_D_fake 0.014373
[265/5000][55/535][27012] Loss_D: -0.033557 Loss_G: 0.021252 Loss_D_real: -0.026476 Loss_D_fake 0.007082
[265/5000][60/535][27013] Loss_D: -0.032699 Loss_G: 0.002376 Loss_D_real: -0.022643 Loss_D_fake 0.010056
[265/5000][65/535][27014] Loss_D: -0.032400 Loss_G: 0.019562 Loss_D_real: -0.025691 Loss_D_fake 0.006709
[265/5000][70/535][27015] Loss_D: -0.033309 Loss_G: 0.006890 Loss_D_real: -0.022588 Loss_D_fake 0.010721
[265/5000][75/535][27016] Loss_D: -0.034287 Loss_G: 0.015899 Loss_D_real: -0.017527 Loss_D_fake 0.016760
[265/5000][80/535][27017] Loss_D: -0.031514 Loss_G: 0.006644 Loss_D_real: -0.014442 Loss_D_fake 0.017073
[265/5000][85/535][27018] Loss_D: -0.030849 Loss_G: 0.030611 Loss_D_real: -0.034704 Loss_D_fake -0.003855
[265/5000][90/535][27019] Loss_D: -0.032636 Loss_G: 0.021914 Loss_D_real: -0.028321 Loss_D_fake 0.004316
[265/5000][95/535][27020] Loss_D: -0.034643 Loss_G: 0.003731 Loss_D_real: -0.014163 Loss_D_fake 0.020480
[265/5000][100/535][27021] Loss_D: -0.032180 Loss_G: 0.024751 Loss_D_real: -0.034592 Loss_D_fake -0.002413
[265/5000][105/535][27022] Loss_D: -0.033470 Loss_G: 0.022665 Loss_D_real: -0.030679 Loss_D_fake 0.002791
[265/5000][110/535][27023] Loss_D: -0.032273 Loss_G: -0.001074 Loss_D_real: -0.004926 Loss_D_fake 0.027348
[265/5000][115/535][27024] Loss_D: -0.035253 Loss_G: 0.014492 Loss_D_real: -0.025773 Loss_D_fake 0.009480
[265/5000][120/535][27025] Loss_D: -0.033718 Loss_G: -0.004741 Loss_D_real: -0.002804 Loss_D_fake 0.030914
[265/5000][125/535][27026] Loss_D: -0.032470 Loss_G: 0.027005 Loss_D_real: -0.028384 Loss_D_fake 0.004086
[265/5000][130/535][27027] Loss_D: -0.033311 Loss_G: 0.033171 Loss_D_real: -0.032082 Loss_D_fake 0.001229
[265/5000][135/535][27028] Loss_D: -0.034155 Loss_G: 0.019766 Loss_D_real: -0.025051 Loss_D_fake 0.009104
[265/5000][140/535][27029] Loss_D: -0.032302 Loss_G: -0.008018 Loss_D_real: -0.001707 Loss_D_fake 0.030595
[265/5000][145/535][27030] Loss_D: -0.030614 Loss_G: 0.031900 Loss_D_real: -0.032213 Loss_D_fake -0.001599
[265/5000][150/535][27031] Loss_D: -0.033725 Loss_G: 0.014312 Loss_D_real: -0.020348 Loss_D_fake 0.013377
[265/5000][155/535][27032] Loss_D: -0.033985 Loss_G: 0.019000 Loss_D_real: -0.022375 Loss_D_fake 0.011610
[265/5000][160/535][27033] Loss_D: -0.032678 Loss_G: -0.016668 Loss_D_real: -0.001291 Loss_D_fake 0.031387
[265/5000][165/535][27034] Loss_D: -0.034247 Loss_G: 0.027050 Loss_D_real: -0.024787 Loss_D_fake 0.009460
[265/5000][170/535][27035] Loss_D: -0.031313 Loss_G: -0.008306 Loss_D_real: -0.008640 Loss_D_fake 0.022673
[265/5000][175/535][27036] Loss_D: -0.032591 Loss_G: 0.018268 Loss_D_real: -0.021702 Loss_D_fake 0.010889
[265/5000][180/535][27037] Loss_D: -0.034390 Loss_G: 0.017424 Loss_D_real: -0.026090 Loss_D_fake 0.008300
[265/5000][185/535][27038] Loss_D: -0.033660 Loss_G: 0.011913 Loss_D_real: -0.021123 Loss_D_fake 0.012537
[265/5000][190/535][27039] Loss_D: -0.032640 Loss_G: 0.012041 Loss_D_real: -0.018110 Loss_D_fake 0.014530
[265/5000][195/535][27040] Loss_D: -0.033409 Loss_G: 0.009327 Loss_D_real: -0.018246 Loss_D_fake 0.015163
[265/5000][200/535][27041] Loss_D: -0.031965 Loss_G: 0.029081 Loss_D_real: -0.030775 Loss_D_fake 0.001190
[265/5000][205/535][27042] Loss_D: -0.032431 Loss_G: -0.004514 Loss_D_real: -0.012539 Loss_D_fake 0.019893
[265/5000][210/535][27043] Loss_D: -0.032965 Loss_G: 0.030304 Loss_D_real: -0.028267 Loss_D_fake 0.004698
[265/5000][215/535][27044] Loss_D: -0.032910 Loss_G: -0.019802 Loss_D_real: -0.001111 Loss_D_fake 0.031800
[265/5000][220/535][27045] Loss_D: -0.033359 Loss_G: 0.023464 Loss_D_real: -0.025858 Loss_D_fake 0.007500
[265/5000][225/535][27046] Loss_D: -0.033435 Loss_G: 0.023549 Loss_D_real: -0.020051 Loss_D_fake 0.013384
[265/5000][230/535][27047] Loss_D: -0.033562 Loss_G: 0.020991 Loss_D_real: -0.023073 Loss_D_fake 0.010489
[265/5000][235/535][27048] Loss_D: -0.031908 Loss_G: 0.034441 Loss_D_real: -0.030008 Loss_D_fake 0.001901
[265/5000][240/535][27049] Loss_D: -0.033065 Loss_G: -0.014078 Loss_D_real: -0.009764 Loss_D_fake 0.023301
[265/5000][245/535][27050] Loss_D: -0.031723 Loss_G: 0.020339 Loss_D_real: -0.034298 Loss_D_fake -0.002575
[265/5000][250/535][27051] Loss_D: -0.034434 Loss_G: 0.017302 Loss_D_real: -0.033410 Loss_D_fake 0.001024
[265/5000][255/535][27052] Loss_D: -0.034519 Loss_G: 0.018798 Loss_D_real: -0.017101 Loss_D_fake 0.017418
[265/5000][260/535][27053] Loss_D: -0.034233 Loss_G: 0.003248 Loss_D_real: -0.019932 Loss_D_fake 0.014301
[265/5000][265/535][27054] Loss_D: -0.032100 Loss_G: 0.042038 Loss_D_real: -0.040988 Loss_D_fake -0.008887
[265/5000][270/535][27055] Loss_D: -0.034324 Loss_G: 0.023349 Loss_D_real: -0.025455 Loss_D_fake 0.008868
[265/5000][275/535][27056] Loss_D: -0.034019 Loss_G: 0.024531 Loss_D_real: -0.027107 Loss_D_fake 0.006913
[265/5000][280/535][27057] Loss_D: -0.034310 Loss_G: 0.002672 Loss_D_real: -0.006090 Loss_D_fake 0.028220
[265/5000][285/535][27058] Loss_D: -0.031359 Loss_G: 0.023113 Loss_D_real: -0.033231 Loss_D_fake -0.001872
[265/5000][290/535][27059] Loss_D: -0.032697 Loss_G: 0.013534 Loss_D_real: -0.021910 Loss_D_fake 0.010787
[265/5000][295/535][27060] Loss_D: -0.034103 Loss_G: 0.024449 Loss_D_real: -0.029672 Loss_D_fake 0.004432
[265/5000][300/535][27061] Loss_D: -0.032454 Loss_G: 0.041429 Loss_D_real: -0.039937 Loss_D_fake -0.007483
[265/5000][305/535][27062] Loss_D: -0.033929 Loss_G: 0.002091 Loss_D_real: -0.019382 Loss_D_fake 0.014547
[265/5000][310/535][27063] Loss_D: -0.034112 Loss_G: 0.006028 Loss_D_real: -0.014154 Loss_D_fake 0.019958
[265/5000][315/535][27064] Loss_D: -0.032178 Loss_G: 0.011391 Loss_D_real: -0.020178 Loss_D_fake 0.012001
[265/5000][320/535][27065] Loss_D: -0.033360 Loss_G: 0.029592 Loss_D_real: -0.034805 Loss_D_fake -0.001445
[265/5000][325/535][27066] Loss_D: -0.034816 Loss_G: 0.027339 Loss_D_real: -0.027258 Loss_D_fake 0.007558
[265/5000][330/535][27067] Loss_D: -0.032056 Loss_G: 0.033015 Loss_D_real: -0.047699 Loss_D_fake -0.015643
[265/5000][335/535][27068] Loss_D: -0.034660 Loss_G: 0.008956 Loss_D_real: -0.023097 Loss_D_fake 0.011563
[265/5000][340/535][27069] Loss_D: -0.032715 Loss_G: 0.035619 Loss_D_real: -0.031708 Loss_D_fake 0.001006
[265/5000][345/535][27070] Loss_D: -0.033886 Loss_G: 0.035630 Loss_D_real: -0.027475 Loss_D_fake 0.006411
[265/5000][350/535][27071] Loss_D: -0.033764 Loss_G: 0.014062 Loss_D_real: -0.022147 Loss_D_fake 0.011617
[265/5000][355/535][27072] Loss_D: -0.035527 Loss_G: 0.032255 Loss_D_real: -0.034355 Loss_D_fake 0.001172
[265/5000][360/535][27073] Loss_D: -0.034314 Loss_G: 0.021001 Loss_D_real: -0.023537 Loss_D_fake 0.010776
[265/5000][365/535][27074] Loss_D: -0.033621 Loss_G: 0.034555 Loss_D_real: -0.042221 Loss_D_fake -0.008601
[265/5000][370/535][27075] Loss_D: -0.031811 Loss_G: -0.008467 Loss_D_real: -0.006080 Loss_D_fake 0.025732
[265/5000][375/535][27076] Loss_D: -0.032549 Loss_G: 0.033209 Loss_D_real: -0.033337 Loss_D_fake -0.000788
[265/5000][380/535][27077] Loss_D: -0.032004 Loss_G: 0.018888 Loss_D_real: -0.024975 Loss_D_fake 0.007030
[265/5000][385/535][27078] Loss_D: -0.032854 Loss_G: 0.028643 Loss_D_real: -0.036180 Loss_D_fake -0.003325
[265/5000][390/535][27079] Loss_D: -0.033708 Loss_G: -0.004218 Loss_D_real: -0.002366 Loss_D_fake 0.031342
[265/5000][395/535][27080] Loss_D: -0.032695 Loss_G: 0.039275 Loss_D_real: -0.036854 Loss_D_fake -0.004159
[265/5000][400/535][27081] Loss_D: -0.033268 Loss_G: 0.012587 Loss_D_real: -0.021247 Loss_D_fake 0.012022
[265/5000][405/535][27082] Loss_D: -0.034132 Loss_G: -0.002218 Loss_D_real: -0.003451 Loss_D_fake 0.030681
[265/5000][410/535][27083] Loss_D: -0.034391 Loss_G: 0.015871 Loss_D_real: -0.030545 Loss_D_fake 0.003846
[265/5000][415/535][27084] Loss_D: -0.033647 Loss_G: -0.004775 Loss_D_real: -0.007083 Loss_D_fake 0.026564
[265/5000][420/535][27085] Loss_D: -0.032999 Loss_G: 0.018753 Loss_D_real: -0.020512 Loss_D_fake 0.012487
[265/5000][425/535][27086] Loss_D: -0.034081 Loss_G: -0.007135 Loss_D_real: -0.017974 Loss_D_fake 0.016107
[265/5000][430/535][27087] Loss_D: -0.032528 Loss_G: 0.029627 Loss_D_real: -0.022519 Loss_D_fake 0.010009
[265/5000][435/535][27088] Loss_D: -0.033255 Loss_G: 0.014872 Loss_D_real: -0.023152 Loss_D_fake 0.010103
[265/5000][440/535][27089] Loss_D: -0.031063 Loss_G: 0.034433 Loss_D_real: -0.035334 Loss_D_fake -0.004270
[265/5000][445/535][27090] Loss_D: -0.032432 Loss_G: -0.009951 Loss_D_real: -0.003464 Loss_D_fake 0.028969
[265/5000][450/535][27091] Loss_D: -0.031250 Loss_G: 0.015034 Loss_D_real: -0.021787 Loss_D_fake 0.009463
[265/5000][455/535][27092] Loss_D: -0.030932 Loss_G: 0.029557 Loss_D_real: -0.033747 Loss_D_fake -0.002815
[265/5000][460/535][27093] Loss_D: -0.033800 Loss_G: -0.001859 Loss_D_real: -0.009589 Loss_D_fake 0.024211
[265/5000][465/535][27094] Loss_D: -0.031549 Loss_G: 0.013227 Loss_D_real: -0.019693 Loss_D_fake 0.011856
[265/5000][470/535][27095] Loss_D: -0.032628 Loss_G: 0.019153 Loss_D_real: -0.022427 Loss_D_fake 0.010201
[265/5000][475/535][27096] Loss_D: -0.031473 Loss_G: 0.012172 Loss_D_real: -0.013122 Loss_D_fake 0.018351
[265/5000][480/535][27097] Loss_D: -0.033934 Loss_G: 0.033109 Loss_D_real: -0.030975 Loss_D_fake 0.002959
[265/5000][485/535][27098] Loss_D: -0.032154 Loss_G: 0.041013 Loss_D_real: -0.038017 Loss_D_fake -0.005863
[265/5000][490/535][27099] Loss_D: -0.033563 Loss_G: 0.013684 Loss_D_real: -0.018254 Loss_D_fake 0.015309
[265/5000][495/535][27100] Loss_D: -0.032105 Loss_G: 0.015172 Loss_D_real: -0.021788 Loss_D_fake 0.010317
[265/5000][500/535][27101] Loss_D: -0.033118 Loss_G: 0.024960 Loss_D_real: -0.021913 Loss_D_fake 0.011205
[265/5000][505/535][27102] Loss_D: -0.033993 Loss_G: -0.000220 Loss_D_real: -0.012351 Loss_D_fake 0.021642
[265/5000][510/535][27103] Loss_D: -0.033255 Loss_G: 0.033613 Loss_D_real: -0.032763 Loss_D_fake 0.000492
[265/5000][515/535][27104] Loss_D: -0.034259 Loss_G: 0.011123 Loss_D_real: -0.018052 Loss_D_fake 0.016207
[265/5000][520/535][27105] Loss_D: -0.033711 Loss_G: 0.018250 Loss_D_real: -0.022768 Loss_D_fake 0.010943
[265/5000][525/535][27106] Loss_D: -0.034270 Loss_G: 0.005620 Loss_D_real: -0.022048 Loss_D_fake 0.012222
[265/5000][530/535][27107] Loss_D: -0.031758 Loss_G: 0.035568 Loss_D_real: -0.044164 Loss_D_fake -0.012406
[265/5000][535/535][27108] Loss_D: -0.033906 Loss_G: -0.004194 Loss_D_real: -0.007354 Loss_D_fake 0.026552
[266/5000][5/535][27109] Loss_D: -0.031517 Loss_G: 0.021936 Loss_D_real: -0.032867 Loss_D_fake -0.001350
[266/5000][10/535][27110] Loss_D: -0.033054 Loss_G: 0.032487 Loss_D_real: -0.029605 Loss_D_fake 0.003449
[266/5000][15/535][27111] Loss_D: -0.033936 Loss_G: 0.015383 Loss_D_real: -0.017764 Loss_D_fake 0.016172
[266/5000][20/535][27112] Loss_D: -0.033135 Loss_G: 0.008512 Loss_D_real: -0.034171 Loss_D_fake -0.001035
[266/5000][25/535][27113] Loss_D: -0.032930 Loss_G: 0.020785 Loss_D_real: -0.025546 Loss_D_fake 0.007385
[266/5000][30/535][27114] Loss_D: -0.033798 Loss_G: -0.006665 Loss_D_real: -0.011649 Loss_D_fake 0.022149
[266/5000][35/535][27115] Loss_D: -0.031920 Loss_G: 0.036734 Loss_D_real: -0.033861 Loss_D_fake -0.001941
[266/5000][40/535][27116] Loss_D: -0.033515 Loss_G: 0.020240 Loss_D_real: -0.033497 Loss_D_fake 0.000017
[266/5000][45/535][27117] Loss_D: -0.033166 Loss_G: 0.012809 Loss_D_real: -0.019302 Loss_D_fake 0.013864
[266/5000][50/535][27118] Loss_D: -0.033482 Loss_G: 0.036130 Loss_D_real: -0.032944 Loss_D_fake 0.000538
[266/5000][55/535][27119] Loss_D: -0.032046 Loss_G: -0.003763 Loss_D_real: -0.002383 Loss_D_fake 0.029663
[266/5000][60/535][27120] Loss_D: -0.032881 Loss_G: 0.021715 Loss_D_real: -0.028385 Loss_D_fake 0.004496
[266/5000][65/535][27121] Loss_D: -0.033225 Loss_G: 0.003559 Loss_D_real: -0.018596 Loss_D_fake 0.014629
[266/5000][70/535][27122] Loss_D: -0.032925 Loss_G: 0.029952 Loss_D_real: -0.034201 Loss_D_fake -0.001275
[266/5000][75/535][27123] Loss_D: -0.032126 Loss_G: 0.017330 Loss_D_real: -0.017676 Loss_D_fake 0.014450
[266/5000][80/535][27124] Loss_D: -0.033903 Loss_G: 0.022861 Loss_D_real: -0.025061 Loss_D_fake 0.008843
[266/5000][85/535][27125] Loss_D: -0.032145 Loss_G: 0.021749 Loss_D_real: -0.028476 Loss_D_fake 0.003669
[266/5000][90/535][27126] Loss_D: -0.034219 Loss_G: 0.017361 Loss_D_real: -0.022444 Loss_D_fake 0.011775
[266/5000][95/535][27127] Loss_D: -0.031325 Loss_G: 0.027801 Loss_D_real: -0.032660 Loss_D_fake -0.001334
[266/5000][100/535][27128] Loss_D: -0.033201 Loss_G: 0.020957 Loss_D_real: -0.024928 Loss_D_fake 0.008273
[266/5000][105/535][27129] Loss_D: -0.032691 Loss_G: 0.019913 Loss_D_real: -0.031998 Loss_D_fake 0.000693
[266/5000][110/535][27130] Loss_D: -0.031085 Loss_G: 0.024185 Loss_D_real: -0.029690 Loss_D_fake 0.001395
[266/5000][115/535][27131] Loss_D: -0.031381 Loss_G: -0.010714 Loss_D_real: -0.002040 Loss_D_fake 0.029342
[266/5000][120/535][27132] Loss_D: -0.032268 Loss_G: 0.022775 Loss_D_real: -0.030359 Loss_D_fake 0.001908
[266/5000][125/535][27133] Loss_D: -0.031827 Loss_G: -0.001552 Loss_D_real: -0.006375 Loss_D_fake 0.025452
[266/5000][130/535][27134] Loss_D: -0.031634 Loss_G: 0.011262 Loss_D_real: -0.015141 Loss_D_fake 0.016492
[266/5000][135/535][27135] Loss_D: -0.031345 Loss_G: 0.014690 Loss_D_real: -0.022060 Loss_D_fake 0.009285
[266/5000][140/535][27136] Loss_D: -0.033322 Loss_G: 0.007314 Loss_D_real: -0.023340 Loss_D_fake 0.009982
[266/5000][145/535][27137] Loss_D: -0.033718 Loss_G: 0.018528 Loss_D_real: -0.018802 Loss_D_fake 0.014916
[266/5000][150/535][27138] Loss_D: -0.032391 Loss_G: 0.041038 Loss_D_real: -0.034602 Loss_D_fake -0.002211
[266/5000][155/535][27139] Loss_D: -0.032334 Loss_G: -0.003417 Loss_D_real: -0.006661 Loss_D_fake 0.025673
[266/5000][160/535][27140] Loss_D: -0.031270 Loss_G: 0.011976 Loss_D_real: -0.023742 Loss_D_fake 0.007528
[266/5000][165/535][27141] Loss_D: -0.032561 Loss_G: 0.035569 Loss_D_real: -0.039222 Loss_D_fake -0.006661
[266/5000][170/535][27142] Loss_D: -0.035282 Loss_G: 0.025105 Loss_D_real: -0.027545 Loss_D_fake 0.007736
[266/5000][175/535][27143] Loss_D: -0.033155 Loss_G: 0.002504 Loss_D_real: -0.019980 Loss_D_fake 0.013175
[266/5000][180/535][27144] Loss_D: -0.032568 Loss_G: -0.004180 Loss_D_real: -0.011761 Loss_D_fake 0.020807
[266/5000][185/535][27145] Loss_D: -0.032368 Loss_G: 0.007909 Loss_D_real: -0.024281 Loss_D_fake 0.008086
[266/5000][190/535][27146] Loss_D: -0.033023 Loss_G: 0.031308 Loss_D_real: -0.040511 Loss_D_fake -0.007488
[266/5000][195/535][27147] Loss_D: -0.034188 Loss_G: -0.006990 Loss_D_real: -0.009039 Loss_D_fake 0.025149
[266/5000][200/535][27148] Loss_D: -0.033378 Loss_G: 0.022000 Loss_D_real: -0.025224 Loss_D_fake 0.008154
[266/5000][205/535][27149] Loss_D: -0.032628 Loss_G: 0.008075 Loss_D_real: -0.013168 Loss_D_fake 0.019459
[266/5000][210/535][27150] Loss_D: -0.032746 Loss_G: 0.041200 Loss_D_real: -0.032365 Loss_D_fake 0.000380
[266/5000][215/535][27151] Loss_D: -0.032305 Loss_G: -0.006924 Loss_D_real: -0.002772 Loss_D_fake 0.029533
[266/5000][220/535][27152] Loss_D: -0.034168 Loss_G: 0.019566 Loss_D_real: -0.022392 Loss_D_fake 0.011776
[266/5000][225/535][27153] Loss_D: -0.033726 Loss_G: 0.033894 Loss_D_real: -0.028975 Loss_D_fake 0.004751
[266/5000][230/535][27154] Loss_D: -0.033744 Loss_G: 0.015042 Loss_D_real: -0.012594 Loss_D_fake 0.021150
[266/5000][235/535][27155] Loss_D: -0.033019 Loss_G: 0.006408 Loss_D_real: -0.015502 Loss_D_fake 0.017517
[266/5000][240/535][27156] Loss_D: -0.034218 Loss_G: 0.035185 Loss_D_real: -0.027594 Loss_D_fake 0.006624
[266/5000][245/535][27157] Loss_D: -0.032497 Loss_G: -0.006948 Loss_D_real: -0.001219 Loss_D_fake 0.031278
[266/5000][250/535][27158] Loss_D: -0.031271 Loss_G: 0.021380 Loss_D_real: -0.028045 Loss_D_fake 0.003225
[266/5000][255/535][27159] Loss_D: -0.033367 Loss_G: 0.001103 Loss_D_real: -0.016607 Loss_D_fake 0.016760
[266/5000][260/535][27160] Loss_D: -0.033899 Loss_G: 0.028205 Loss_D_real: -0.031018 Loss_D_fake 0.002881
[266/5000][265/535][27161] Loss_D: -0.034012 Loss_G: 0.025225 Loss_D_real: -0.025433 Loss_D_fake 0.008579
[266/5000][270/535][27162] Loss_D: -0.034446 Loss_G: -0.001995 Loss_D_real: -0.012898 Loss_D_fake 0.021548
[266/5000][275/535][27163] Loss_D: -0.031764 Loss_G: 0.036612 Loss_D_real: -0.032619 Loss_D_fake -0.000855
[266/5000][280/535][27164] Loss_D: -0.034421 Loss_G: -0.005812 Loss_D_real: -0.011086 Loss_D_fake 0.023334
[266/5000][285/535][27165] Loss_D: -0.032920 Loss_G: 0.010409 Loss_D_real: -0.023052 Loss_D_fake 0.009868
[266/5000][290/535][27166] Loss_D: -0.033549 Loss_G: 0.022561 Loss_D_real: -0.033327 Loss_D_fake 0.000222
[266/5000][295/535][27167] Loss_D: -0.034501 Loss_G: 0.028542 Loss_D_real: -0.031631 Loss_D_fake 0.002870
[266/5000][300/535][27168] Loss_D: -0.033656 Loss_G: 0.003963 Loss_D_real: -0.007575 Loss_D_fake 0.026081
[266/5000][305/535][27169] Loss_D: -0.031535 Loss_G: 0.036154 Loss_D_real: -0.031154 Loss_D_fake 0.000381
[266/5000][310/535][27170] Loss_D: -0.033337 Loss_G: 0.018033 Loss_D_real: -0.012007 Loss_D_fake 0.021330
[266/5000][315/535][27171] Loss_D: -0.032879 Loss_G: 0.022768 Loss_D_real: -0.028230 Loss_D_fake 0.004648
[266/5000][320/535][27172] Loss_D: -0.033982 Loss_G: 0.022201 Loss_D_real: -0.029883 Loss_D_fake 0.004099
[266/5000][325/535][27173] Loss_D: -0.033987 Loss_G: 0.009309 Loss_D_real: -0.015082 Loss_D_fake 0.018905
[266/5000][330/535][27174] Loss_D: -0.033091 Loss_G: 0.010493 Loss_D_real: -0.024269 Loss_D_fake 0.008822
[266/5000][335/535][27175] Loss_D: -0.032670 Loss_G: 0.008683 Loss_D_real: -0.011043 Loss_D_fake 0.021627
[266/5000][340/535][27176] Loss_D: -0.033012 Loss_G: 0.009833 Loss_D_real: -0.012302 Loss_D_fake 0.020710
[266/5000][345/535][27177] Loss_D: -0.033157 Loss_G: 0.029144 Loss_D_real: -0.035251 Loss_D_fake -0.002093
[266/5000][350/535][27178] Loss_D: -0.032897 Loss_G: 0.000190 Loss_D_real: -0.015028 Loss_D_fake 0.017869
[266/5000][355/535][27179] Loss_D: -0.033348 Loss_G: 0.022163 Loss_D_real: -0.028273 Loss_D_fake 0.005074
[266/5000][360/535][27180] Loss_D: -0.034080 Loss_G: 0.013908 Loss_D_real: -0.021184 Loss_D_fake 0.012896
[266/5000][365/535][27181] Loss_D: -0.033199 Loss_G: 0.013015 Loss_D_real: -0.022194 Loss_D_fake 0.011005
[266/5000][370/535][27182] Loss_D: -0.033585 Loss_G: 0.038761 Loss_D_real: -0.034749 Loss_D_fake -0.001163
[266/5000][375/535][27183] Loss_D: -0.032382 Loss_G: 0.010043 Loss_D_real: -0.009844 Loss_D_fake 0.022537
[266/5000][380/535][27184] Loss_D: -0.032360 Loss_G: -0.005973 Loss_D_real: -0.009635 Loss_D_fake 0.022725
[266/5000][385/535][27185] Loss_D: -0.032515 Loss_G: 0.025205 Loss_D_real: -0.030806 Loss_D_fake 0.001709
[266/5000][390/535][27186] Loss_D: -0.032927 Loss_G: -0.008022 Loss_D_real: -0.017172 Loss_D_fake 0.015755
[266/5000][395/535][27187] Loss_D: -0.032373 Loss_G: 0.045774 Loss_D_real: -0.039116 Loss_D_fake -0.006743
[266/5000][400/535][27188] Loss_D: -0.032351 Loss_G: 0.009274 Loss_D_real: -0.014479 Loss_D_fake 0.017872
[266/5000][405/535][27189] Loss_D: -0.032645 Loss_G: 0.024027 Loss_D_real: -0.025090 Loss_D_fake 0.007555
[266/5000][410/535][27190] Loss_D: -0.034080 Loss_G: 0.035565 Loss_D_real: -0.032342 Loss_D_fake 0.001738
[266/5000][415/535][27191] Loss_D: -0.034032 Loss_G: 0.015507 Loss_D_real: -0.013986 Loss_D_fake 0.020046
[266/5000][420/535][27192] Loss_D: -0.032938 Loss_G: 0.027609 Loss_D_real: -0.027205 Loss_D_fake 0.005733
[266/5000][425/535][27193] Loss_D: -0.033396 Loss_G: 0.025729 Loss_D_real: -0.037323 Loss_D_fake -0.003927
[266/5000][430/535][27194] Loss_D: -0.034013 Loss_G: 0.022815 Loss_D_real: -0.022343 Loss_D_fake 0.011670
[266/5000][435/535][27195] Loss_D: -0.033119 Loss_G: 0.007533 Loss_D_real: -0.015166 Loss_D_fake 0.017953
[266/5000][440/535][27196] Loss_D: -0.031705 Loss_G: 0.006571 Loss_D_real: -0.014964 Loss_D_fake 0.016742
[266/5000][445/535][27197] Loss_D: -0.032229 Loss_G: 0.017786 Loss_D_real: -0.022474 Loss_D_fake 0.009755
[266/5000][450/535][27198] Loss_D: -0.034052 Loss_G: -0.000914 Loss_D_real: -0.009954 Loss_D_fake 0.024098
[266/5000][455/535][27199] Loss_D: -0.034199 Loss_G: 0.011984 Loss_D_real: -0.022415 Loss_D_fake 0.011784
[266/5000][460/535][27200] Loss_D: -0.033136 Loss_G: 0.026143 Loss_D_real: -0.029773 Loss_D_fake 0.003363
[266/5000][465/535][27201] Loss_D: -0.033106 Loss_G: -0.013744 Loss_D_real: -0.011447 Loss_D_fake 0.021659
[266/5000][470/535][27202] Loss_D: -0.032019 Loss_G: 0.026901 Loss_D_real: -0.038080 Loss_D_fake -0.006060
[266/5000][475/535][27203] Loss_D: -0.034133 Loss_G: -0.005458 Loss_D_real: -0.013181 Loss_D_fake 0.020951
[266/5000][480/535][27204] Loss_D: -0.032329 Loss_G: 0.017894 Loss_D_real: -0.023289 Loss_D_fake 0.009039
[266/5000][485/535][27205] Loss_D: -0.031704 Loss_G: 0.039717 Loss_D_real: -0.037688 Loss_D_fake -0.005984
[266/5000][490/535][27206] Loss_D: -0.031712 Loss_G: 0.004477 Loss_D_real: -0.017577 Loss_D_fake 0.014134
[266/5000][495/535][27207] Loss_D: -0.033014 Loss_G: 0.008363 Loss_D_real: -0.017367 Loss_D_fake 0.015647
[266/5000][500/535][27208] Loss_D: -0.033450 Loss_G: 0.019118 Loss_D_real: -0.022839 Loss_D_fake 0.010611
[266/5000][505/535][27209] Loss_D: -0.034136 Loss_G: 0.010592 Loss_D_real: -0.024502 Loss_D_fake 0.009635
[266/5000][510/535][27210] Loss_D: -0.032869 Loss_G: 0.030375 Loss_D_real: -0.032582 Loss_D_fake 0.000287
[266/5000][515/535][27211] Loss_D: -0.032684 Loss_G: 0.011546 Loss_D_real: -0.026060 Loss_D_fake 0.006624
[266/5000][520/535][27212] Loss_D: -0.034293 Loss_G: 0.033844 Loss_D_real: -0.038294 Loss_D_fake -0.004001
[266/5000][525/535][27213] Loss_D: -0.034268 Loss_G: 0.012944 Loss_D_real: -0.021608 Loss_D_fake 0.012660
[266/5000][530/535][27214] Loss_D: -0.031499 Loss_G: 0.017274 Loss_D_real: -0.022986 Loss_D_fake 0.008513
[266/5000][535/535][27215] Loss_D: -0.039238 Loss_G: 0.015967 Loss_D_real: -0.023133 Loss_D_fake 0.016106
[267/5000][5/535][27216] Loss_D: -0.031607 Loss_G: 0.015418 Loss_D_real: -0.017824 Loss_D_fake 0.013784
[267/5000][10/535][27217] Loss_D: -0.033935 Loss_G: 0.018879 Loss_D_real: -0.021877 Loss_D_fake 0.012058
[267/5000][15/535][27218] Loss_D: -0.033292 Loss_G: 0.030801 Loss_D_real: -0.033753 Loss_D_fake -0.000461
[267/5000][20/535][27219] Loss_D: -0.032144 Loss_G: -0.006419 Loss_D_real: -0.007010 Loss_D_fake 0.025134
[267/5000][25/535][27220] Loss_D: -0.031424 Loss_G: 0.033967 Loss_D_real: -0.031385 Loss_D_fake 0.000039
[267/5000][30/535][27221] Loss_D: -0.034081 Loss_G: 0.008005 Loss_D_real: -0.017589 Loss_D_fake 0.016493
[267/5000][35/535][27222] Loss_D: -0.034526 Loss_G: 0.011957 Loss_D_real: -0.020686 Loss_D_fake 0.013840
[267/5000][40/535][27223] Loss_D: -0.033493 Loss_G: 0.004801 Loss_D_real: -0.021719 Loss_D_fake 0.011773
[267/5000][45/535][27224] Loss_D: -0.033267 Loss_G: 0.004639 Loss_D_real: -0.019908 Loss_D_fake 0.013359
[267/5000][50/535][27225] Loss_D: -0.031421 Loss_G: 0.034984 Loss_D_real: -0.032769 Loss_D_fake -0.001348
[267/5000][55/535][27226] Loss_D: -0.033859 Loss_G: 0.005764 Loss_D_real: -0.015143 Loss_D_fake 0.018716
[267/5000][60/535][27227] Loss_D: -0.032866 Loss_G: 0.018959 Loss_D_real: -0.024267 Loss_D_fake 0.008599
[267/5000][65/535][27228] Loss_D: -0.035727 Loss_G: 0.018685 Loss_D_real: -0.020889 Loss_D_fake 0.014838
[267/5000][70/535][27229] Loss_D: -0.032886 Loss_G: -0.003780 Loss_D_real: -0.015226 Loss_D_fake 0.017659
[267/5000][75/535][27230] Loss_D: -0.031858 Loss_G: 0.030214 Loss_D_real: -0.040703 Loss_D_fake -0.008844
[267/5000][80/535][27231] Loss_D: -0.032642 Loss_G: -0.001889 Loss_D_real: -0.013043 Loss_D_fake 0.019599
[267/5000][85/535][27232] Loss_D: -0.033423 Loss_G: 0.037359 Loss_D_real: -0.035910 Loss_D_fake -0.002486
[267/5000][90/535][27233] Loss_D: -0.034843 Loss_G: 0.026978 Loss_D_real: -0.032728 Loss_D_fake 0.002114
[267/5000][95/535][27234] Loss_D: -0.033319 Loss_G: 0.012874 Loss_D_real: -0.021946 Loss_D_fake 0.011373
[267/5000][100/535][27235] Loss_D: -0.032872 Loss_G: 0.008400 Loss_D_real: -0.023070 Loss_D_fake 0.009803
[267/5000][105/535][27236] Loss_D: -0.033636 Loss_G: -0.002057 Loss_D_real: -0.012767 Loss_D_fake 0.020869
[267/5000][110/535][27237] Loss_D: -0.031316 Loss_G: 0.044634 Loss_D_real: -0.039871 Loss_D_fake -0.008556
[267/5000][115/535][27238] Loss_D: -0.033010 Loss_G: 0.000215 Loss_D_real: -0.006137 Loss_D_fake 0.026873
[267/5000][120/535][27239] Loss_D: -0.033122 Loss_G: 0.016571 Loss_D_real: -0.024334 Loss_D_fake 0.008788
[267/5000][125/535][27240] Loss_D: -0.034017 Loss_G: 0.029463 Loss_D_real: -0.029116 Loss_D_fake 0.004902
[267/5000][130/535][27241] Loss_D: -0.033486 Loss_G: 0.017802 Loss_D_real: -0.023151 Loss_D_fake 0.010335
[267/5000][135/535][27242] Loss_D: -0.034081 Loss_G: 0.012509 Loss_D_real: -0.019213 Loss_D_fake 0.014868
[267/5000][140/535][27243] Loss_D: -0.032009 Loss_G: 0.035818 Loss_D_real: -0.037653 Loss_D_fake -0.005644
[267/5000][145/535][27244] Loss_D: -0.033653 Loss_G: 0.028388 Loss_D_real: -0.024046 Loss_D_fake 0.009607
[267/5000][150/535][27245] Loss_D: -0.032450 Loss_G: 0.023492 Loss_D_real: -0.030001 Loss_D_fake 0.002449
[267/5000][155/535][27246] Loss_D: -0.032312 Loss_G: 0.007321 Loss_D_real: -0.017920 Loss_D_fake 0.014392
[267/5000][160/535][27247] Loss_D: -0.031664 Loss_G: 0.029574 Loss_D_real: -0.036508 Loss_D_fake -0.004844
[267/5000][165/535][27248] Loss_D: -0.034492 Loss_G: 0.012682 Loss_D_real: -0.022716 Loss_D_fake 0.011775
[267/5000][170/535][27249] Loss_D: -0.031971 Loss_G: 0.036357 Loss_D_real: -0.041696 Loss_D_fake -0.009725
[267/5000][175/535][27250] Loss_D: -0.032177 Loss_G: -0.008970 Loss_D_real: -0.003843 Loss_D_fake 0.028333
[267/5000][180/535][27251] Loss_D: -0.031083 Loss_G: 0.025352 Loss_D_real: -0.030731 Loss_D_fake 0.000352
[267/5000][185/535][27252] Loss_D: -0.032382 Loss_G: 0.015982 Loss_D_real: -0.013982 Loss_D_fake 0.018401
[267/5000][190/535][27253] Loss_D: -0.034399 Loss_G: 0.027656 Loss_D_real: -0.030551 Loss_D_fake 0.003847
[267/5000][195/535][27254] Loss_D: -0.031800 Loss_G: 0.026053 Loss_D_real: -0.029983 Loss_D_fake 0.001817
[267/5000][200/535][27255] Loss_D: -0.032004 Loss_G: -0.006292 Loss_D_real: -0.001740 Loss_D_fake 0.030264
[267/5000][205/535][27256] Loss_D: -0.033123 Loss_G: 0.021970 Loss_D_real: -0.029452 Loss_D_fake 0.003672
[267/5000][210/535][27257] Loss_D: -0.033022 Loss_G: 0.027764 Loss_D_real: -0.030441 Loss_D_fake 0.002581
[267/5000][215/535][27258] Loss_D: -0.033019 Loss_G: 0.028806 Loss_D_real: -0.034910 Loss_D_fake -0.001892
[267/5000][220/535][27259] Loss_D: -0.033659 Loss_G: -0.001214 Loss_D_real: -0.015283 Loss_D_fake 0.018377
[267/5000][225/535][27260] Loss_D: -0.034424 Loss_G: 0.026138 Loss_D_real: -0.028948 Loss_D_fake 0.005476
[267/5000][230/535][27261] Loss_D: -0.032952 Loss_G: 0.009768 Loss_D_real: -0.014295 Loss_D_fake 0.018657
[267/5000][235/535][27262] Loss_D: -0.033528 Loss_G: 0.009024 Loss_D_real: -0.018448 Loss_D_fake 0.015080
[267/5000][240/535][27263] Loss_D: -0.033019 Loss_G: 0.030034 Loss_D_real: -0.035259 Loss_D_fake -0.002240
[267/5000][245/535][27264] Loss_D: -0.032885 Loss_G: 0.028530 Loss_D_real: -0.034817 Loss_D_fake -0.001932
[267/5000][250/535][27265] Loss_D: -0.031914 Loss_G: 0.043554 Loss_D_real: -0.030483 Loss_D_fake 0.001431
[267/5000][255/535][27266] Loss_D: -0.031338 Loss_G: -0.004351 Loss_D_real: -0.002238 Loss_D_fake 0.029100
[267/5000][260/535][27267] Loss_D: -0.031596 Loss_G: 0.023408 Loss_D_real: -0.026417 Loss_D_fake 0.005180
[267/5000][265/535][27268] Loss_D: -0.033566 Loss_G: 0.018443 Loss_D_real: -0.026316 Loss_D_fake 0.007250
[267/5000][270/535][27269] Loss_D: -0.033561 Loss_G: 0.028251 Loss_D_real: -0.029967 Loss_D_fake 0.003595
[267/5000][275/535][27270] Loss_D: -0.033943 Loss_G: 0.033627 Loss_D_real: -0.028140 Loss_D_fake 0.005802
[267/5000][280/535][27271] Loss_D: -0.033271 Loss_G: 0.014723 Loss_D_real: -0.023921 Loss_D_fake 0.009350
[267/5000][285/535][27272] Loss_D: -0.033621 Loss_G: 0.010060 Loss_D_real: -0.016860 Loss_D_fake 0.016761
[267/5000][290/535][27273] Loss_D: -0.034586 Loss_G: -0.000953 Loss_D_real: -0.013201 Loss_D_fake 0.021385
[267/5000][295/535][27274] Loss_D: -0.031824 Loss_G: 0.021690 Loss_D_real: -0.022121 Loss_D_fake 0.009703
[267/5000][300/535][27275] Loss_D: -0.032514 Loss_G: 0.001338 Loss_D_real: -0.008720 Loss_D_fake 0.023794
[267/5000][305/535][27276] Loss_D: -0.032508 Loss_G: 0.018704 Loss_D_real: -0.026934 Loss_D_fake 0.005574
[267/5000][310/535][27277] Loss_D: -0.033416 Loss_G: 0.029108 Loss_D_real: -0.020754 Loss_D_fake 0.012663
[267/5000][315/535][27278] Loss_D: -0.031761 Loss_G: -0.012571 Loss_D_real: -0.005144 Loss_D_fake 0.026617
[267/5000][320/535][27279] Loss_D: -0.032601 Loss_G: 0.023751 Loss_D_real: -0.034239 Loss_D_fake -0.001638
[267/5000][325/535][27280] Loss_D: -0.033148 Loss_G: 0.006105 Loss_D_real: -0.015106 Loss_D_fake 0.018042
[267/5000][330/535][27281] Loss_D: -0.032120 Loss_G: 0.033362 Loss_D_real: -0.033990 Loss_D_fake -0.001870
[267/5000][335/535][27282] Loss_D: -0.034265 Loss_G: 0.013760 Loss_D_real: -0.019071 Loss_D_fake 0.015194
[267/5000][340/535][27283] Loss_D: -0.033559 Loss_G: 0.032293 Loss_D_real: -0.035336 Loss_D_fake -0.001777
[267/5000][345/535][27284] Loss_D: -0.032247 Loss_G: 0.006721 Loss_D_real: -0.007814 Loss_D_fake 0.024433
[267/5000][350/535][27285] Loss_D: -0.034458 Loss_G: 0.009870 Loss_D_real: -0.014038 Loss_D_fake 0.020421
[267/5000][355/535][27286] Loss_D: -0.032210 Loss_G: 0.032839 Loss_D_real: -0.035322 Loss_D_fake -0.003112
[267/5000][360/535][27287] Loss_D: -0.032978 Loss_G: 0.014349 Loss_D_real: -0.020653 Loss_D_fake 0.012326
[267/5000][365/535][27288] Loss_D: -0.032614 Loss_G: -0.010867 Loss_D_real: -0.008049 Loss_D_fake 0.024566
[267/5000][370/535][27289] Loss_D: -0.033683 Loss_G: 0.017580 Loss_D_real: -0.029709 Loss_D_fake 0.003974
[267/5000][375/535][27290] Loss_D: -0.030557 Loss_G: 0.038394 Loss_D_real: -0.041826 Loss_D_fake -0.011269
[267/5000][380/535][27291] Loss_D: -0.032890 Loss_G: 0.023392 Loss_D_real: -0.025921 Loss_D_fake 0.006969
[267/5000][385/535][27292] Loss_D: -0.033696 Loss_G: 0.019268 Loss_D_real: -0.022767 Loss_D_fake 0.010930
[267/5000][390/535][27293] Loss_D: -0.031770 Loss_G: 0.040545 Loss_D_real: -0.041654 Loss_D_fake -0.009885
[267/5000][395/535][27294] Loss_D: -0.032764 Loss_G: -0.003987 Loss_D_real: -0.005615 Loss_D_fake 0.027149
[267/5000][400/535][27295] Loss_D: -0.032520 Loss_G: 0.028680 Loss_D_real: -0.035121 Loss_D_fake -0.002601
[267/5000][405/535][27296] Loss_D: -0.033122 Loss_G: 0.005403 Loss_D_real: -0.016688 Loss_D_fake 0.016433
[267/5000][410/535][27297] Loss_D: -0.032381 Loss_G: 0.007005 Loss_D_real: -0.019737 Loss_D_fake 0.012644
[267/5000][415/535][27298] Loss_D: -0.034111 Loss_G: 0.018390 Loss_D_real: -0.023644 Loss_D_fake 0.010468
[267/5000][420/535][27299] Loss_D: -0.034663 Loss_G: 0.023529 Loss_D_real: -0.025986 Loss_D_fake 0.008678
[267/5000][425/535][27300] Loss_D: -0.033708 Loss_G: 0.038933 Loss_D_real: -0.035390 Loss_D_fake -0.001681
[267/5000][430/535][27301] Loss_D: -0.031714 Loss_G: -0.011191 Loss_D_real: -0.000466 Loss_D_fake 0.031248
[267/5000][435/535][27302] Loss_D: -0.031699 Loss_G: 0.014457 Loss_D_real: -0.022882 Loss_D_fake 0.008817
[267/5000][440/535][27303] Loss_D: -0.031994 Loss_G: 0.010081 Loss_D_real: -0.015822 Loss_D_fake 0.016172
[267/5000][445/535][27304] Loss_D: -0.032478 Loss_G: 0.027163 Loss_D_real: -0.025780 Loss_D_fake 0.006697
[267/5000][450/535][27305] Loss_D: -0.032569 Loss_G: 0.038617 Loss_D_real: -0.033246 Loss_D_fake -0.000678
[267/5000][455/535][27306] Loss_D: -0.033697 Loss_G: 0.005199 Loss_D_real: -0.014454 Loss_D_fake 0.019243
[267/5000][460/535][27307] Loss_D: -0.032044 Loss_G: 0.001139 Loss_D_real: -0.013245 Loss_D_fake 0.018799
[267/5000][465/535][27308] Loss_D: -0.033359 Loss_G: 0.019416 Loss_D_real: -0.024801 Loss_D_fake 0.008558
[267/5000][470/535][27309] Loss_D: -0.033914 Loss_G: 0.002355 Loss_D_real: -0.016102 Loss_D_fake 0.017812
[267/5000][475/535][27310] Loss_D: -0.031518 Loss_G: 0.040465 Loss_D_real: -0.031226 Loss_D_fake 0.000292
[267/5000][480/535][27311] Loss_D: -0.034950 Loss_G: 0.001380 Loss_D_real: -0.012999 Loss_D_fake 0.021952
[267/5000][485/535][27312] Loss_D: -0.031633 Loss_G: 0.034991 Loss_D_real: -0.037974 Loss_D_fake -0.006341
[267/5000][490/535][27313] Loss_D: -0.031690 Loss_G: -0.015182 Loss_D_real: 0.000089 Loss_D_fake 0.031779
[267/5000][495/535][27314] Loss_D: -0.032653 Loss_G: 0.029299 Loss_D_real: -0.027564 Loss_D_fake 0.005090
[267/5000][500/535][27315] Loss_D: -0.031794 Loss_G: 0.020824 Loss_D_real: -0.016793 Loss_D_fake 0.015001
[267/5000][505/535][27316] Loss_D: -0.032934 Loss_G: 0.004341 Loss_D_real: -0.015852 Loss_D_fake 0.017082
[267/5000][510/535][27317] Loss_D: -0.032111 Loss_G: 0.020111 Loss_D_real: -0.023089 Loss_D_fake 0.009022
[267/5000][515/535][27318] Loss_D: -0.033433 Loss_G: 0.028745 Loss_D_real: -0.023872 Loss_D_fake 0.009561
[267/5000][520/535][27319] Loss_D: -0.032578 Loss_G: 0.019068 Loss_D_real: -0.025260 Loss_D_fake 0.007318
[267/5000][525/535][27320] Loss_D: -0.032531 Loss_G: 0.014386 Loss_D_real: -0.022638 Loss_D_fake 0.009893
[267/5000][530/535][27321] Loss_D: -0.033039 Loss_G: 0.002476 Loss_D_real: -0.013442 Loss_D_fake 0.019597
[267/5000][535/535][27322] Loss_D: -0.032536 Loss_G: 0.006578 Loss_D_real: -0.020270 Loss_D_fake 0.012265
[268/5000][5/535][27323] Loss_D: -0.032917 Loss_G: -0.003113 Loss_D_real: -0.015303 Loss_D_fake 0.017614
[268/5000][10/535][27324] Loss_D: -0.032967 Loss_G: 0.018583 Loss_D_real: -0.021323 Loss_D_fake 0.011644
[268/5000][15/535][27325] Loss_D: -0.032778 Loss_G: 0.028606 Loss_D_real: -0.032615 Loss_D_fake 0.000163
[268/5000][20/535][27326] Loss_D: -0.033118 Loss_G: 0.015332 Loss_D_real: -0.014198 Loss_D_fake 0.018920
[268/5000][25/535][27327] Loss_D: -0.033465 Loss_G: 0.013073 Loss_D_real: -0.012194 Loss_D_fake 0.021271
[268/5000][30/535][27328] Loss_D: -0.031968 Loss_G: 0.004915 Loss_D_real: -0.010614 Loss_D_fake 0.021354
[268/5000][35/535][27329] Loss_D: -0.032567 Loss_G: 0.005996 Loss_D_real: -0.020498 Loss_D_fake 0.012069
[268/5000][40/535][27330] Loss_D: -0.031937 Loss_G: 0.035712 Loss_D_real: -0.030113 Loss_D_fake 0.001824
[268/5000][45/535][27331] Loss_D: -0.034642 Loss_G: 0.014475 Loss_D_real: -0.019159 Loss_D_fake 0.015483
[268/5000][50/535][27332] Loss_D: -0.033097 Loss_G: 0.029370 Loss_D_real: -0.031322 Loss_D_fake 0.001775
[268/5000][55/535][27333] Loss_D: -0.032711 Loss_G: -0.009163 Loss_D_real: -0.008513 Loss_D_fake 0.024199
[268/5000][60/535][27334] Loss_D: -0.032602 Loss_G: 0.037779 Loss_D_real: -0.027085 Loss_D_fake 0.005517
[268/5000][65/535][27335] Loss_D: -0.034027 Loss_G: -0.001596 Loss_D_real: -0.011095 Loss_D_fake 0.022932
[268/5000][70/535][27336] Loss_D: -0.031365 Loss_G: 0.032014 Loss_D_real: -0.039051 Loss_D_fake -0.007686
[268/5000][75/535][27337] Loss_D: -0.033621 Loss_G: 0.007296 Loss_D_real: -0.022507 Loss_D_fake 0.011114
[268/5000][80/535][27338] Loss_D: -0.034020 Loss_G: 0.000748 Loss_D_real: -0.016192 Loss_D_fake 0.017828
[268/5000][85/535][27339] Loss_D: -0.032135 Loss_G: 0.033362 Loss_D_real: -0.040498 Loss_D_fake -0.008363
[268/5000][90/535][27340] Loss_D: -0.031544 Loss_G: -0.007811 Loss_D_real: -0.008400 Loss_D_fake 0.023144
[268/5000][95/535][27341] Loss_D: -0.032236 Loss_G: 0.027453 Loss_D_real: -0.038813 Loss_D_fake -0.006576
[268/5000][100/535][27342] Loss_D: -0.033071 Loss_G: 0.035993 Loss_D_real: -0.039178 Loss_D_fake -0.006107
[268/5000][105/535][27343] Loss_D: -0.034232 Loss_G: 0.036365 Loss_D_real: -0.030480 Loss_D_fake 0.003752
[268/5000][110/535][27344] Loss_D: -0.033719 Loss_G: 0.017672 Loss_D_real: -0.015813 Loss_D_fake 0.017906
[268/5000][115/535][27345] Loss_D: -0.035059 Loss_G: 0.014695 Loss_D_real: -0.024979 Loss_D_fake 0.010080
[268/5000][120/535][27346] Loss_D: -0.032815 Loss_G: 0.023040 Loss_D_real: -0.016297 Loss_D_fake 0.016518
[268/5000][125/535][27347] Loss_D: -0.032206 Loss_G: -0.023242 Loss_D_real: -0.001187 Loss_D_fake 0.031019
[268/5000][130/535][27348] Loss_D: -0.032716 Loss_G: 0.012434 Loss_D_real: -0.021046 Loss_D_fake 0.011671
[268/5000][135/535][27349] Loss_D: -0.030450 Loss_G: 0.027805 Loss_D_real: -0.037574 Loss_D_fake -0.007124
[268/5000][140/535][27350] Loss_D: -0.032917 Loss_G: 0.008640 Loss_D_real: -0.013932 Loss_D_fake 0.018985
[268/5000][145/535][27351] Loss_D: -0.032754 Loss_G: 0.015097 Loss_D_real: -0.032293 Loss_D_fake 0.000461
[268/5000][150/535][27352] Loss_D: -0.033583 Loss_G: 0.010422 Loss_D_real: -0.021561 Loss_D_fake 0.012022
[268/5000][155/535][27353] Loss_D: -0.035727 Loss_G: 0.007346 Loss_D_real: -0.021536 Loss_D_fake 0.014192
[268/5000][160/535][27354] Loss_D: -0.033627 Loss_G: 0.007238 Loss_D_real: -0.010558 Loss_D_fake 0.023069
[268/5000][165/535][27355] Loss_D: -0.033520 Loss_G: 0.019785 Loss_D_real: -0.019182 Loss_D_fake 0.014338
[268/5000][170/535][27356] Loss_D: -0.033047 Loss_G: 0.020950 Loss_D_real: -0.019968 Loss_D_fake 0.013079
[268/5000][175/535][27357] Loss_D: -0.031109 Loss_G: 0.037001 Loss_D_real: -0.031827 Loss_D_fake -0.000718
[268/5000][180/535][27358] Loss_D: -0.033428 Loss_G: -0.001022 Loss_D_real: -0.008331 Loss_D_fake 0.025097
[268/5000][185/535][27359] Loss_D: -0.033255 Loss_G: 0.029241 Loss_D_real: -0.035667 Loss_D_fake -0.002412
[268/5000][190/535][27360] Loss_D: -0.034609 Loss_G: 0.010672 Loss_D_real: -0.012073 Loss_D_fake 0.022536
[268/5000][195/535][27361] Loss_D: -0.032256 Loss_G: 0.035981 Loss_D_real: -0.041499 Loss_D_fake -0.009244
[268/5000][200/535][27362] Loss_D: -0.033950 Loss_G: -0.000506 Loss_D_real: -0.011908 Loss_D_fake 0.022042
[268/5000][205/535][27363] Loss_D: -0.032264 Loss_G: 0.007633 Loss_D_real: -0.012456 Loss_D_fake 0.019808
[268/5000][210/535][27364] Loss_D: -0.033175 Loss_G: -0.002092 Loss_D_real: -0.009778 Loss_D_fake 0.023397
[268/5000][215/535][27365] Loss_D: -0.032086 Loss_G: 0.028465 Loss_D_real: -0.026462 Loss_D_fake 0.005624
[268/5000][220/535][27366] Loss_D: -0.032835 Loss_G: -0.001993 Loss_D_real: -0.015033 Loss_D_fake 0.017802
[268/5000][225/535][27367] Loss_D: -0.032236 Loss_G: -0.008171 Loss_D_real: -0.004084 Loss_D_fake 0.028153
[268/5000][230/535][27368] Loss_D: -0.032279 Loss_G: 0.020275 Loss_D_real: -0.026573 Loss_D_fake 0.005705
[268/5000][235/535][27369] Loss_D: -0.031957 Loss_G: 0.030144 Loss_D_real: -0.025035 Loss_D_fake 0.006922
[268/5000][240/535][27370] Loss_D: -0.033317 Loss_G: 0.036518 Loss_D_real: -0.031507 Loss_D_fake 0.001811
[268/5000][245/535][27371] Loss_D: -0.032679 Loss_G: 0.018871 Loss_D_real: -0.024453 Loss_D_fake 0.008226
[268/5000][250/535][27372] Loss_D: -0.032169 Loss_G: 0.005431 Loss_D_real: -0.011206 Loss_D_fake 0.020963
[268/5000][255/535][27373] Loss_D: -0.033886 Loss_G: 0.030827 Loss_D_real: -0.036376 Loss_D_fake -0.002490
[268/5000][260/535][27374] Loss_D: -0.033203 Loss_G: 0.009559 Loss_D_real: -0.019413 Loss_D_fake 0.013790
[268/5000][265/535][27375] Loss_D: -0.033219 Loss_G: 0.003937 Loss_D_real: -0.016174 Loss_D_fake 0.017044
[268/5000][270/535][27376] Loss_D: -0.032508 Loss_G: -0.002951 Loss_D_real: -0.009875 Loss_D_fake 0.022633
[268/5000][275/535][27377] Loss_D: -0.034029 Loss_G: -0.002574 Loss_D_real: -0.014557 Loss_D_fake 0.019472
[268/5000][280/535][27378] Loss_D: -0.032222 Loss_G: 0.029011 Loss_D_real: -0.028621 Loss_D_fake 0.003601
[268/5000][285/535][27379] Loss_D: -0.033836 Loss_G: 0.008583 Loss_D_real: -0.021947 Loss_D_fake 0.011888
[268/5000][290/535][27380] Loss_D: -0.032896 Loss_G: 0.036081 Loss_D_real: -0.031174 Loss_D_fake 0.001723
[268/5000][295/535][27381] Loss_D: -0.034111 Loss_G: 0.010990 Loss_D_real: -0.013885 Loss_D_fake 0.020226
[268/5000][300/535][27382] Loss_D: -0.033366 Loss_G: 0.034931 Loss_D_real: -0.034466 Loss_D_fake -0.001100
[268/5000][305/535][27383] Loss_D: -0.033362 Loss_G: 0.014323 Loss_D_real: -0.028079 Loss_D_fake 0.005283
[268/5000][310/535][27384] Loss_D: -0.032796 Loss_G: 0.035689 Loss_D_real: -0.037133 Loss_D_fake -0.004337
[268/5000][315/535][27385] Loss_D: -0.033686 Loss_G: -0.003476 Loss_D_real: -0.008468 Loss_D_fake 0.025218
[268/5000][320/535][27386] Loss_D: -0.033541 Loss_G: 0.026201 Loss_D_real: -0.035014 Loss_D_fake -0.001472
[268/5000][325/535][27387] Loss_D: -0.034047 Loss_G: 0.018030 Loss_D_real: -0.021014 Loss_D_fake 0.013033
[268/5000][330/535][27388] Loss_D: -0.033849 Loss_G: 0.021608 Loss_D_real: -0.017841 Loss_D_fake 0.016008
[268/5000][335/535][27389] Loss_D: -0.035171 Loss_G: 0.014954 Loss_D_real: -0.021137 Loss_D_fake 0.014034
[268/5000][340/535][27390] Loss_D: -0.034201 Loss_G: 0.020964 Loss_D_real: -0.017855 Loss_D_fake 0.016346
[268/5000][345/535][27391] Loss_D: -0.033779 Loss_G: 0.033813 Loss_D_real: -0.037604 Loss_D_fake -0.003825
[268/5000][350/535][27392] Loss_D: -0.033538 Loss_G: 0.001642 Loss_D_real: -0.017108 Loss_D_fake 0.016430
[268/5000][355/535][27393] Loss_D: -0.033006 Loss_G: 0.038648 Loss_D_real: -0.040363 Loss_D_fake -0.007357
[268/5000][360/535][27394] Loss_D: -0.032634 Loss_G: -0.001902 Loss_D_real: -0.007210 Loss_D_fake 0.025424
[268/5000][365/535][27395] Loss_D: -0.033290 Loss_G: 0.018461 Loss_D_real: -0.026160 Loss_D_fake 0.007131
[268/5000][370/535][27396] Loss_D: -0.030568 Loss_G: 0.023200 Loss_D_real: -0.040582 Loss_D_fake -0.010014
[268/5000][375/535][27397] Loss_D: -0.034037 Loss_G: 0.016415 Loss_D_real: -0.016359 Loss_D_fake 0.017678
[268/5000][380/535][27398] Loss_D: -0.033420 Loss_G: -0.005317 Loss_D_real: -0.007624 Loss_D_fake 0.025796
[268/5000][385/535][27399] Loss_D: -0.031998 Loss_G: 0.017267 Loss_D_real: -0.022269 Loss_D_fake 0.009729
[268/5000][390/535][27400] Loss_D: -0.033296 Loss_G: -0.001896 Loss_D_real: -0.005187 Loss_D_fake 0.028109
[268/5000][395/535][27401] Loss_D: -0.032911 Loss_G: 0.018061 Loss_D_real: -0.040701 Loss_D_fake -0.007789
[268/5000][400/535][27402] Loss_D: -0.032100 Loss_G: 0.030941 Loss_D_real: -0.027171 Loss_D_fake 0.004929
[268/5000][405/535][27403] Loss_D: -0.033364 Loss_G: 0.006625 Loss_D_real: -0.014976 Loss_D_fake 0.018388
[268/5000][410/535][27404] Loss_D: -0.034003 Loss_G: 0.015495 Loss_D_real: -0.023096 Loss_D_fake 0.010907
[268/5000][415/535][27405] Loss_D: -0.032343 Loss_G: 0.017529 Loss_D_real: -0.032671 Loss_D_fake -0.000328
[268/5000][420/535][27406] Loss_D: -0.032311 Loss_G: -0.003482 Loss_D_real: -0.007052 Loss_D_fake 0.025259
[268/5000][425/535][27407] Loss_D: -0.030248 Loss_G: -0.009811 Loss_D_real: -0.006822 Loss_D_fake 0.023425
[268/5000][430/535][27408] Loss_D: -0.030392 Loss_G: 0.034038 Loss_D_real: -0.038914 Loss_D_fake -0.008522
[268/5000][435/535][27409] Loss_D: -0.033116 Loss_G: 0.022304 Loss_D_real: -0.024106 Loss_D_fake 0.009010
[268/5000][440/535][27410] Loss_D: -0.031187 Loss_G: -0.009636 Loss_D_real: 0.002596 Loss_D_fake 0.033783
[268/5000][445/535][27411] Loss_D: -0.032781 Loss_G: 0.014519 Loss_D_real: -0.021886 Loss_D_fake 0.010895
[268/5000][450/535][27412] Loss_D: -0.032038 Loss_G: 0.004198 Loss_D_real: -0.022315 Loss_D_fake 0.009723
[268/5000][455/535][27413] Loss_D: -0.031981 Loss_G: 0.030004 Loss_D_real: -0.038762 Loss_D_fake -0.006780
[268/5000][460/535][27414] Loss_D: -0.034120 Loss_G: 0.013826 Loss_D_real: -0.017917 Loss_D_fake 0.016203
[268/5000][465/535][27415] Loss_D: -0.032875 Loss_G: 0.022366 Loss_D_real: -0.024362 Loss_D_fake 0.008513
[268/5000][470/535][27416] Loss_D: -0.031600 Loss_G: 0.000109 Loss_D_real: -0.004984 Loss_D_fake 0.026616
[268/5000][475/535][27417] Loss_D: -0.032922 Loss_G: 0.020865 Loss_D_real: -0.018347 Loss_D_fake 0.014575
[268/5000][480/535][27418] Loss_D: -0.032924 Loss_G: 0.024162 Loss_D_real: -0.027978 Loss_D_fake 0.004946
[268/5000][485/535][27419] Loss_D: -0.031405 Loss_G: 0.002365 Loss_D_real: -0.013261 Loss_D_fake 0.018145
[268/5000][490/535][27420] Loss_D: -0.030880 Loss_G: 0.039252 Loss_D_real: -0.040879 Loss_D_fake -0.009999
[268/5000][495/535][27421] Loss_D: -0.031363 Loss_G: 0.007407 Loss_D_real: -0.010287 Loss_D_fake 0.021076
[268/5000][500/535][27422] Loss_D: -0.033529 Loss_G: 0.013894 Loss_D_real: -0.023996 Loss_D_fake 0.009533
[268/5000][505/535][27423] Loss_D: -0.033347 Loss_G: 0.014748 Loss_D_real: -0.023241 Loss_D_fake 0.010106
[268/5000][510/535][27424] Loss_D: -0.033915 Loss_G: 0.013932 Loss_D_real: -0.022730 Loss_D_fake 0.011185
[268/5000][515/535][27425] Loss_D: -0.034319 Loss_G: -0.001531 Loss_D_real: -0.011552 Loss_D_fake 0.022767
[268/5000][520/535][27426] Loss_D: -0.031620 Loss_G: 0.020206 Loss_D_real: -0.021540 Loss_D_fake 0.010080
[268/5000][525/535][27427] Loss_D: -0.032554 Loss_G: 0.033767 Loss_D_real: -0.034421 Loss_D_fake -0.001867
[268/5000][530/535][27428] Loss_D: -0.034229 Loss_G: 0.019153 Loss_D_real: -0.027679 Loss_D_fake 0.006550
[268/5000][535/535][27429] Loss_D: -0.035071 Loss_G: 0.062657 Loss_D_real: -0.025685 Loss_D_fake 0.009386
[269/5000][5/535][27430] Loss_D: -0.031763 Loss_G: 0.001601 Loss_D_real: -0.012152 Loss_D_fake 0.019611
[269/5000][10/535][27431] Loss_D: -0.032511 Loss_G: 0.018551 Loss_D_real: -0.019932 Loss_D_fake 0.012579
[269/5000][15/535][27432] Loss_D: -0.032634 Loss_G: 0.025234 Loss_D_real: -0.028132 Loss_D_fake 0.004501
[269/5000][20/535][27433] Loss_D: -0.032025 Loss_G: 0.002246 Loss_D_real: -0.013557 Loss_D_fake 0.018468
[269/5000][25/535][27434] Loss_D: -0.030931 Loss_G: 0.028977 Loss_D_real: -0.037548 Loss_D_fake -0.006617
[269/5000][30/535][27435] Loss_D: -0.034712 Loss_G: 0.026941 Loss_D_real: -0.020182 Loss_D_fake 0.014529
[269/5000][35/535][27436] Loss_D: -0.031907 Loss_G: 0.025018 Loss_D_real: -0.032030 Loss_D_fake -0.000123
[269/5000][40/535][27437] Loss_D: -0.033779 Loss_G: 0.005562 Loss_D_real: -0.014113 Loss_D_fake 0.019667
[269/5000][45/535][27438] Loss_D: -0.032731 Loss_G: 0.028049 Loss_D_real: -0.027355 Loss_D_fake 0.005376
[269/5000][50/535][27439] Loss_D: -0.033184 Loss_G: 0.027980 Loss_D_real: -0.034103 Loss_D_fake -0.000918
[269/5000][55/535][27440] Loss_D: -0.035078 Loss_G: 0.016177 Loss_D_real: -0.026106 Loss_D_fake 0.008972
[269/5000][60/535][27441] Loss_D: -0.034259 Loss_G: 0.027929 Loss_D_real: -0.031449 Loss_D_fake 0.002810
[269/5000][65/535][27442] Loss_D: -0.034735 Loss_G: 0.030089 Loss_D_real: -0.034498 Loss_D_fake 0.000237
[269/5000][70/535][27443] Loss_D: -0.034503 Loss_G: -0.002401 Loss_D_real: -0.019388 Loss_D_fake 0.015114
[269/5000][75/535][27444] Loss_D: -0.032026 Loss_G: 0.033782 Loss_D_real: -0.034841 Loss_D_fake -0.002815
[269/5000][80/535][27445] Loss_D: -0.032151 Loss_G: 0.018252 Loss_D_real: -0.025574 Loss_D_fake 0.006578
[269/5000][85/535][27446] Loss_D: -0.034158 Loss_G: 0.020834 Loss_D_real: -0.030089 Loss_D_fake 0.004068
[269/5000][90/535][27447] Loss_D: -0.034743 Loss_G: 0.024793 Loss_D_real: -0.023387 Loss_D_fake 0.011356
[269/5000][95/535][27448] Loss_D: -0.032025 Loss_G: 0.027732 Loss_D_real: -0.037203 Loss_D_fake -0.005179
[269/5000][100/535][27449] Loss_D: -0.031239 Loss_G: -0.010786 Loss_D_real: -0.000524 Loss_D_fake 0.030716
[269/5000][105/535][27450] Loss_D: -0.032655 Loss_G: -0.009816 Loss_D_real: -0.015406 Loss_D_fake 0.017249
[269/5000][110/535][27451] Loss_D: -0.030894 Loss_G: 0.024209 Loss_D_real: -0.030864 Loss_D_fake 0.000030
[269/5000][115/535][27452] Loss_D: -0.033597 Loss_G: 0.019012 Loss_D_real: -0.015620 Loss_D_fake 0.017977
[269/5000][120/535][27453] Loss_D: -0.033874 Loss_G: 0.015408 Loss_D_real: -0.013863 Loss_D_fake 0.020011
[269/5000][125/535][27454] Loss_D: -0.033293 Loss_G: 0.006908 Loss_D_real: -0.012328 Loss_D_fake 0.020965
[269/5000][130/535][27455] Loss_D: -0.031816 Loss_G: 0.029256 Loss_D_real: -0.038222 Loss_D_fake -0.006405
[269/5000][135/535][27456] Loss_D: -0.033843 Loss_G: 0.021944 Loss_D_real: -0.021344 Loss_D_fake 0.012499
[269/5000][140/535][27457] Loss_D: -0.033232 Loss_G: 0.008712 Loss_D_real: -0.009598 Loss_D_fake 0.023634
[269/5000][145/535][27458] Loss_D: -0.030419 Loss_G: 0.032228 Loss_D_real: -0.042360 Loss_D_fake -0.011941
[269/5000][150/535][27459] Loss_D: -0.032583 Loss_G: 0.022430 Loss_D_real: -0.028733 Loss_D_fake 0.003850
[269/5000][155/535][27460] Loss_D: -0.033389 Loss_G: 0.003033 Loss_D_real: -0.011370 Loss_D_fake 0.022019
[269/5000][160/535][27461] Loss_D: -0.032633 Loss_G: 0.024073 Loss_D_real: -0.029503 Loss_D_fake 0.003130
[269/5000][165/535][27462] Loss_D: -0.032234 Loss_G: 0.039259 Loss_D_real: -0.038930 Loss_D_fake -0.006695
[269/5000][170/535][27463] Loss_D: -0.033019 Loss_G: 0.001905 Loss_D_real: -0.008210 Loss_D_fake 0.024809
[269/5000][175/535][27464] Loss_D: -0.032967 Loss_G: 0.028055 Loss_D_real: -0.026482 Loss_D_fake 0.006485
[269/5000][180/535][27465] Loss_D: -0.034612 Loss_G: 0.021987 Loss_D_real: -0.027443 Loss_D_fake 0.007168
[269/5000][185/535][27466] Loss_D: -0.034607 Loss_G: 0.028463 Loss_D_real: -0.028328 Loss_D_fake 0.006279
[269/5000][190/535][27467] Loss_D: -0.034201 Loss_G: 0.031644 Loss_D_real: -0.022502 Loss_D_fake 0.011699
[269/5000][195/535][27468] Loss_D: -0.033850 Loss_G: 0.003344 Loss_D_real: -0.013778 Loss_D_fake 0.020072
[269/5000][200/535][27469] Loss_D: -0.032707 Loss_G: 0.035301 Loss_D_real: -0.038192 Loss_D_fake -0.005484
[269/5000][205/535][27470] Loss_D: -0.033421 Loss_G: 0.003489 Loss_D_real: -0.009703 Loss_D_fake 0.023718
[269/5000][210/535][27471] Loss_D: -0.032648 Loss_G: 0.001757 Loss_D_real: -0.021386 Loss_D_fake 0.011262
[269/5000][215/535][27472] Loss_D: -0.032126 Loss_G: 0.032130 Loss_D_real: -0.031444 Loss_D_fake 0.000682
[269/5000][220/535][27473] Loss_D: -0.033076 Loss_G: 0.006192 Loss_D_real: -0.008449 Loss_D_fake 0.024626
[269/5000][225/535][27474] Loss_D: -0.032710 Loss_G: 0.017442 Loss_D_real: -0.019829 Loss_D_fake 0.012880
[269/5000][230/535][27475] Loss_D: -0.034023 Loss_G: 0.007846 Loss_D_real: -0.020823 Loss_D_fake 0.013199
[269/5000][235/535][27476] Loss_D: -0.031110 Loss_G: 0.033493 Loss_D_real: -0.041550 Loss_D_fake -0.010440
[269/5000][240/535][27477] Loss_D: -0.033395 Loss_G: 0.017601 Loss_D_real: -0.023810 Loss_D_fake 0.009585
[269/5000][245/535][27478] Loss_D: -0.031859 Loss_G: -0.007315 Loss_D_real: -0.000072 Loss_D_fake 0.031787
[269/5000][250/535][27479] Loss_D: -0.030407 Loss_G: 0.028896 Loss_D_real: -0.038944 Loss_D_fake -0.008537
[269/5000][255/535][27480] Loss_D: -0.032206 Loss_G: 0.012104 Loss_D_real: -0.022783 Loss_D_fake 0.009424
[269/5000][260/535][27481] Loss_D: -0.033786 Loss_G: 0.030040 Loss_D_real: -0.031864 Loss_D_fake 0.001923
[269/5000][265/535][27482] Loss_D: -0.030826 Loss_G: 0.025702 Loss_D_real: -0.020413 Loss_D_fake 0.010412
[269/5000][270/535][27483] Loss_D: -0.032742 Loss_G: -0.006119 Loss_D_real: -0.010487 Loss_D_fake 0.022255
[269/5000][275/535][27484] Loss_D: -0.031829 Loss_G: 0.006112 Loss_D_real: -0.020918 Loss_D_fake 0.010911
[269/5000][280/535][27485] Loss_D: -0.033733 Loss_G: 0.006957 Loss_D_real: -0.014328 Loss_D_fake 0.019405
[269/5000][285/535][27486] Loss_D: -0.033742 Loss_G: 0.015516 Loss_D_real: -0.021912 Loss_D_fake 0.011830
[269/5000][290/535][27487] Loss_D: -0.032623 Loss_G: 0.006227 Loss_D_real: -0.015578 Loss_D_fake 0.017045
[269/5000][295/535][27488] Loss_D: -0.032852 Loss_G: 0.032609 Loss_D_real: -0.028183 Loss_D_fake 0.004669
[269/5000][300/535][27489] Loss_D: -0.032665 Loss_G: 0.017025 Loss_D_real: -0.023509 Loss_D_fake 0.009155
[269/5000][305/535][27490] Loss_D: -0.033055 Loss_G: 0.033754 Loss_D_real: -0.028879 Loss_D_fake 0.004175
[269/5000][310/535][27491] Loss_D: -0.033290 Loss_G: 0.008712 Loss_D_real: -0.018099 Loss_D_fake 0.015191
[269/5000][315/535][27492] Loss_D: -0.031787 Loss_G: 0.041385 Loss_D_real: -0.047312 Loss_D_fake -0.015525
[269/5000][320/535][27493] Loss_D: -0.032866 Loss_G: -0.005201 Loss_D_real: -0.001900 Loss_D_fake 0.030966
[269/5000][325/535][27494] Loss_D: -0.032813 Loss_G: 0.031297 Loss_D_real: -0.032975 Loss_D_fake -0.000162
[269/5000][330/535][27495] Loss_D: -0.033925 Loss_G: 0.018929 Loss_D_real: -0.023343 Loss_D_fake 0.010582
[269/5000][335/535][27496] Loss_D: -0.034069 Loss_G: 0.026344 Loss_D_real: -0.033783 Loss_D_fake 0.000285
[269/5000][340/535][27497] Loss_D: -0.032488 Loss_G: 0.011227 Loss_D_real: -0.020088 Loss_D_fake 0.012400
[269/5000][345/535][27498] Loss_D: -0.032633 Loss_G: 0.028968 Loss_D_real: -0.030878 Loss_D_fake 0.001755
[269/5000][350/535][27499] Loss_D: -0.031039 Loss_G: 0.014260 Loss_D_real: -0.017733 Loss_D_fake 0.013306
[269/5000][355/535][27500] Loss_D: -0.032657 Loss_G: -0.007613 Loss_D_real: -0.004599 Loss_D_fake 0.028058
[269/5000][455/535][27501] Loss_D: -0.032217 Loss_G: 0.033817 Loss_D_real: -0.035446 Loss_D_fake -0.003229
[269/5000][460/535][27502] Loss_D: -0.034266 Loss_G: 0.027192 Loss_D_real: -0.029412 Loss_D_fake 0.004854
[269/5000][465/535][27503] Loss_D: -0.030109 Loss_G: 0.016879 Loss_D_real: -0.028902 Loss_D_fake 0.001207
[269/5000][470/535][27504] Loss_D: -0.031730 Loss_G: -0.006825 Loss_D_real: -0.009998 Loss_D_fake 0.021732
[269/5000][475/535][27505] Loss_D: -0.032063 Loss_G: 0.031354 Loss_D_real: -0.031466 Loss_D_fake 0.000597
[269/5000][480/535][27506] Loss_D: -0.031428 Loss_G: 0.029883 Loss_D_real: -0.041010 Loss_D_fake -0.009582
[269/5000][485/535][27507] Loss_D: -0.031317 Loss_G: 0.012055 Loss_D_real: -0.020744 Loss_D_fake 0.010573
[269/5000][490/535][27508] Loss_D: -0.030392 Loss_G: 0.026221 Loss_D_real: -0.035770 Loss_D_fake -0.005378
[269/5000][495/535][27509] Loss_D: -0.032998 Loss_G: 0.013968 Loss_D_real: -0.020323 Loss_D_fake 0.012675
[269/5000][500/535][27510] Loss_D: -0.034812 Loss_G: 0.002901 Loss_D_real: -0.014879 Loss_D_fake 0.019933
[269/5000][505/535][27511] Loss_D: -0.032160 Loss_G: 0.010940 Loss_D_real: -0.026176 Loss_D_fake 0.005984
[269/5000][510/535][27512] Loss_D: -0.032812 Loss_G: 0.022635 Loss_D_real: -0.027641 Loss_D_fake 0.005171
[269/5000][515/535][27513] Loss_D: -0.034078 Loss_G: 0.019060 Loss_D_real: -0.026770 Loss_D_fake 0.007308
[269/5000][520/535][27514] Loss_D: -0.031887 Loss_G: 0.035194 Loss_D_real: -0.033608 Loss_D_fake -0.001721
[269/5000][525/535][27515] Loss_D: -0.032129 Loss_G: 0.022780 Loss_D_real: -0.024641 Loss_D_fake 0.007487
[269/5000][530/535][27516] Loss_D: -0.033854 Loss_G: 0.010809 Loss_D_real: -0.023678 Loss_D_fake 0.010176
[269/5000][535/535][27517] Loss_D: -0.035199 Loss_G: -0.004365 Loss_D_real: -0.019960 Loss_D_fake 0.015239
[270/5000][5/535][27518] Loss_D: -0.032726 Loss_G: 0.002091 Loss_D_real: -0.011188 Loss_D_fake 0.021539
[270/5000][10/535][27519] Loss_D: -0.033299 Loss_G: 0.004171 Loss_D_real: -0.022148 Loss_D_fake 0.011151
[270/5000][15/535][27520] Loss_D: -0.033118 Loss_G: 0.027609 Loss_D_real: -0.019775 Loss_D_fake 0.013343
[270/5000][20/535][27521] Loss_D: -0.032230 Loss_G: 0.011768 Loss_D_real: -0.028357 Loss_D_fake 0.003873
[270/5000][25/535][27522] Loss_D: -0.032943 Loss_G: 0.026221 Loss_D_real: -0.028593 Loss_D_fake 0.004350
[270/5000][30/535][27523] Loss_D: -0.031256 Loss_G: 0.005969 Loss_D_real: -0.009837 Loss_D_fake 0.021419
[270/5000][35/535][27524] Loss_D: -0.033027 Loss_G: 0.000137 Loss_D_real: -0.018874 Loss_D_fake 0.014153
[270/5000][40/535][27525] Loss_D: -0.028498 Loss_G: 0.040341 Loss_D_real: -0.036533 Loss_D_fake -0.008035
[270/5000][45/535][27526] Loss_D: -0.032982 Loss_G: 0.016212 Loss_D_real: -0.016585 Loss_D_fake 0.016397
[270/5000][50/535][27527] Loss_D: -0.032746 Loss_G: 0.017417 Loss_D_real: -0.019940 Loss_D_fake 0.012806
[270/5000][55/535][27528] Loss_D: -0.030198 Loss_G: 0.042508 Loss_D_real: -0.049066 Loss_D_fake -0.018868
[270/5000][60/535][27529] Loss_D: -0.035109 Loss_G: 0.018436 Loss_D_real: -0.025444 Loss_D_fake 0.009664
[270/5000][65/535][27530] Loss_D: -0.034012 Loss_G: 0.028269 Loss_D_real: -0.025527 Loss_D_fake 0.008485
[270/5000][70/535][27531] Loss_D: -0.033533 Loss_G: -0.003193 Loss_D_real: -0.013130 Loss_D_fake 0.020403
[270/5000][75/535][27532] Loss_D: -0.031680 Loss_G: -0.001053 Loss_D_real: -0.006086 Loss_D_fake 0.025595
[270/5000][80/535][27533] Loss_D: -0.033195 Loss_G: 0.012803 Loss_D_real: -0.023819 Loss_D_fake 0.009376
[270/5000][85/535][27534] Loss_D: -0.033621 Loss_G: 0.035916 Loss_D_real: -0.038245 Loss_D_fake -0.004624
[270/5000][90/535][27535] Loss_D: -0.033861 Loss_G: 0.037243 Loss_D_real: -0.035436 Loss_D_fake -0.001575
[270/5000][95/535][27536] Loss_D: -0.033277 Loss_G: 0.005442 Loss_D_real: -0.004550 Loss_D_fake 0.028728
[270/5000][100/535][27537] Loss_D: -0.033025 Loss_G: 0.031810 Loss_D_real: -0.032773 Loss_D_fake 0.000253
[270/5000][105/535][27538] Loss_D: -0.033386 Loss_G: 0.010189 Loss_D_real: -0.016261 Loss_D_fake 0.017125
[270/5000][110/535][27539] Loss_D: -0.033172 Loss_G: 0.010524 Loss_D_real: -0.020737 Loss_D_fake 0.012435
[270/5000][115/535][27540] Loss_D: -0.033249 Loss_G: 0.021054 Loss_D_real: -0.017124 Loss_D_fake 0.016124
[270/5000][120/535][27541] Loss_D: -0.034788 Loss_G: 0.021629 Loss_D_real: -0.025059 Loss_D_fake 0.009728
[270/5000][125/535][27542] Loss_D: -0.033216 Loss_G: 0.009569 Loss_D_real: -0.026606 Loss_D_fake 0.006611
[270/5000][130/535][27543] Loss_D: -0.033079 Loss_G: 0.022778 Loss_D_real: -0.024742 Loss_D_fake 0.008337
[270/5000][135/535][27544] Loss_D: -0.033871 Loss_G: 0.027531 Loss_D_real: -0.033231 Loss_D_fake 0.000640
[270/5000][140/535][27545] Loss_D: -0.034042 Loss_G: 0.021276 Loss_D_real: -0.028219 Loss_D_fake 0.005823
[270/5000][145/535][27546] Loss_D: -0.033456 Loss_G: -0.002559 Loss_D_real: -0.007596 Loss_D_fake 0.025860
[270/5000][150/535][27547] Loss_D: -0.033443 Loss_G: 0.033129 Loss_D_real: -0.037149 Loss_D_fake -0.003706
[270/5000][155/535][27548] Loss_D: -0.033482 Loss_G: 0.031191 Loss_D_real: -0.026813 Loss_D_fake 0.006669
[270/5000][160/535][27549] Loss_D: -0.033579 Loss_G: 0.035626 Loss_D_real: -0.029317 Loss_D_fake 0.004262
[270/5000][165/535][27550] Loss_D: -0.032800 Loss_G: 0.003197 Loss_D_real: -0.009298 Loss_D_fake 0.023503
[270/5000][170/535][27551] Loss_D: -0.033140 Loss_G: 0.012608 Loss_D_real: -0.017587 Loss_D_fake 0.015553
[270/5000][175/535][27552] Loss_D: -0.032150 Loss_G: 0.007674 Loss_D_real: -0.024833 Loss_D_fake 0.007317
[270/5000][180/535][27553] Loss_D: -0.031219 Loss_G: 0.046966 Loss_D_real: -0.042184 Loss_D_fake -0.010965
[270/5000][185/535][27554] Loss_D: -0.032531 Loss_G: -0.010289 Loss_D_real: -0.001788 Loss_D_fake 0.030743
[270/5000][190/535][27555] Loss_D: -0.032229 Loss_G: 0.016977 Loss_D_real: -0.025537 Loss_D_fake 0.006692
[270/5000][195/535][27556] Loss_D: -0.031303 Loss_G: -0.001992 Loss_D_real: -0.020333 Loss_D_fake 0.010970
[270/5000][200/535][27557] Loss_D: -0.030956 Loss_G: 0.015233 Loss_D_real: -0.027817 Loss_D_fake 0.003140
[270/5000][205/535][27558] Loss_D: -0.034828 Loss_G: 0.010957 Loss_D_real: -0.019727 Loss_D_fake 0.015101
[270/5000][210/535][27559] Loss_D: -0.034059 Loss_G: 0.031124 Loss_D_real: -0.020461 Loss_D_fake 0.013598
[270/5000][215/535][27560] Loss_D: -0.030411 Loss_G: 0.026135 Loss_D_real: -0.015667 Loss_D_fake 0.014744
[270/5000][220/535][27561] Loss_D: -0.032308 Loss_G: 0.036216 Loss_D_real: -0.025164 Loss_D_fake 0.007144
[270/5000][225/535][27562] Loss_D: -0.033167 Loss_G: 0.032201 Loss_D_real: -0.027355 Loss_D_fake 0.005813
[270/5000][230/535][27563] Loss_D: -0.032114 Loss_G: -0.006607 Loss_D_real: 0.003895 Loss_D_fake 0.036009
[270/5000][235/535][27564] Loss_D: -0.033412 Loss_G: 0.030625 Loss_D_real: -0.035578 Loss_D_fake -0.002166
[270/5000][240/535][27565] Loss_D: -0.031522 Loss_G: -0.009237 Loss_D_real: -0.005142 Loss_D_fake 0.026381
[270/5000][245/535][27566] Loss_D: -0.033529 Loss_G: -0.000368 Loss_D_real: -0.009421 Loss_D_fake 0.024108
[270/5000][250/535][27567] Loss_D: -0.032736 Loss_G: 0.007521 Loss_D_real: -0.013283 Loss_D_fake 0.019453
[270/5000][255/535][27568] Loss_D: -0.033256 Loss_G: -0.005280 Loss_D_real: 0.000885 Loss_D_fake 0.034140
[270/5000][260/535][27569] Loss_D: -0.034072 Loss_G: 0.025428 Loss_D_real: -0.029694 Loss_D_fake 0.004378
[270/5000][265/535][27570] Loss_D: -0.033748 Loss_G: 0.012232 Loss_D_real: 0.002428 Loss_D_fake 0.036176
[270/5000][270/535][27571] Loss_D: -0.030543 Loss_G: 0.005338 Loss_D_real: -0.008691 Loss_D_fake 0.021852
[270/5000][275/535][27572] Loss_D: -0.032704 Loss_G: 0.012237 Loss_D_real: -0.028878 Loss_D_fake 0.003827
[270/5000][280/535][27573] Loss_D: -0.033114 Loss_G: 0.014789 Loss_D_real: -0.021939 Loss_D_fake 0.011175
[270/5000][285/535][27574] Loss_D: -0.031840 Loss_G: 0.030321 Loss_D_real: -0.026547 Loss_D_fake 0.005294
[270/5000][290/535][27575] Loss_D: -0.031068 Loss_G: -0.003099 Loss_D_real: -0.013193 Loss_D_fake 0.017875
[270/5000][295/535][27576] Loss_D: -0.033576 Loss_G: 0.024593 Loss_D_real: -0.024457 Loss_D_fake 0.009120
[270/5000][300/535][27577] Loss_D: -0.032880 Loss_G: 0.021155 Loss_D_real: -0.016185 Loss_D_fake 0.016695
[270/5000][305/535][27578] Loss_D: -0.033295 Loss_G: 0.008064 Loss_D_real: -0.014760 Loss_D_fake 0.018535
[270/5000][310/535][27579] Loss_D: -0.031393 Loss_G: 0.034262 Loss_D_real: -0.031658 Loss_D_fake -0.000265
[270/5000][315/535][27580] Loss_D: -0.032296 Loss_G: -0.008455 Loss_D_real: -0.001534 Loss_D_fake 0.030763
[270/5000][320/535][27581] Loss_D: -0.031731 Loss_G: 0.024293 Loss_D_real: -0.024392 Loss_D_fake 0.007339
[270/5000][325/535][27582] Loss_D: -0.031287 Loss_G: 0.021019 Loss_D_real: -0.015104 Loss_D_fake 0.016183
[270/5000][330/535][27583] Loss_D: -0.032545 Loss_G: 0.016610 Loss_D_real: -0.020628 Loss_D_fake 0.011917
[270/5000][335/535][27584] Loss_D: -0.032505 Loss_G: 0.001725 Loss_D_real: -0.017524 Loss_D_fake 0.014981
[270/5000][340/535][27585] Loss_D: -0.031222 Loss_G: 0.042277 Loss_D_real: -0.042799 Loss_D_fake -0.011577
[270/5000][345/535][27586] Loss_D: -0.032565 Loss_G: 0.006142 Loss_D_real: -0.012007 Loss_D_fake 0.020558
[270/5000][350/535][27587] Loss_D: -0.033325 Loss_G: 0.031015 Loss_D_real: -0.036702 Loss_D_fake -0.003377
[270/5000][355/535][27588] Loss_D: -0.034953 Loss_G: 0.030041 Loss_D_real: -0.030741 Loss_D_fake 0.004212
[270/5000][360/535][27589] Loss_D: -0.033240 Loss_G: 0.003955 Loss_D_real: -0.012278 Loss_D_fake 0.020962
[270/5000][365/535][27590] Loss_D: -0.032936 Loss_G: 0.008253 Loss_D_real: -0.004515 Loss_D_fake 0.028421
[270/5000][370/535][27591] Loss_D: -0.032635 Loss_G: 0.023904 Loss_D_real: -0.023314 Loss_D_fake 0.009321
[270/5000][375/535][27592] Loss_D: -0.031637 Loss_G: 0.025521 Loss_D_real: -0.028504 Loss_D_fake 0.003132
[270/5000][380/535][27593] Loss_D: -0.031860 Loss_G: 0.018808 Loss_D_real: -0.020283 Loss_D_fake 0.011576
[270/5000][385/535][27594] Loss_D: -0.032371 Loss_G: 0.026110 Loss_D_real: -0.026687 Loss_D_fake 0.005685
[270/5000][390/535][27595] Loss_D: -0.032302 Loss_G: 0.036394 Loss_D_real: -0.028295 Loss_D_fake 0.004007
[270/5000][395/535][27596] Loss_D: -0.033547 Loss_G: 0.009708 Loss_D_real: -0.017235 Loss_D_fake 0.016312
[270/5000][400/535][27597] Loss_D: -0.032852 Loss_G: 0.040847 Loss_D_real: -0.041796 Loss_D_fake -0.008944
[270/5000][405/535][27598] Loss_D: -0.033164 Loss_G: 0.011275 Loss_D_real: -0.016008 Loss_D_fake 0.017156
[270/5000][410/535][27599] Loss_D: -0.033931 Loss_G: 0.021745 Loss_D_real: -0.037572 Loss_D_fake -0.003641
[270/5000][415/535][27600] Loss_D: -0.033920 Loss_G: 0.031243 Loss_D_real: -0.031080 Loss_D_fake 0.002840
[270/5000][420/535][27601] Loss_D: -0.032866 Loss_G: 0.019728 Loss_D_real: -0.026780 Loss_D_fake 0.006086
[270/5000][425/535][27602] Loss_D: -0.033699 Loss_G: 0.004464 Loss_D_real: 0.000013 Loss_D_fake 0.033711
[270/5000][430/535][27603] Loss_D: -0.033875 Loss_G: 0.032260 Loss_D_real: -0.027422 Loss_D_fake 0.006453
[270/5000][435/535][27604] Loss_D: -0.034673 Loss_G: -0.003034 Loss_D_real: -0.017202 Loss_D_fake 0.017472
[270/5000][440/535][27605] Loss_D: -0.033803 Loss_G: 0.025910 Loss_D_real: -0.026722 Loss_D_fake 0.007081
[270/5000][445/535][27606] Loss_D: -0.034431 Loss_G: 0.020501 Loss_D_real: -0.015175 Loss_D_fake 0.019257
[270/5000][450/535][27607] Loss_D: -0.031267 Loss_G: 0.009577 Loss_D_real: -0.017793 Loss_D_fake 0.013473
[270/5000][455/535][27608] Loss_D: -0.033366 Loss_G: 0.017036 Loss_D_real: -0.018507 Loss_D_fake 0.014859
[270/5000][460/535][27609] Loss_D: -0.032885 Loss_G: 0.001377 Loss_D_real: -0.011703 Loss_D_fake 0.021182
[270/5000][465/535][27610] Loss_D: -0.032260 Loss_G: -0.002494 Loss_D_real: -0.011129 Loss_D_fake 0.021132
[270/5000][470/535][27611] Loss_D: -0.031619 Loss_G: -0.013622 Loss_D_real: 0.000806 Loss_D_fake 0.032425
[270/5000][475/535][27612] Loss_D: -0.031535 Loss_G: 0.029994 Loss_D_real: -0.032896 Loss_D_fake -0.001361
[270/5000][480/535][27613] Loss_D: -0.033161 Loss_G: 0.013788 Loss_D_real: -0.021329 Loss_D_fake 0.011832
[270/5000][485/535][27614] Loss_D: -0.031689 Loss_G: 0.027383 Loss_D_real: -0.029290 Loss_D_fake 0.002399
[270/5000][490/535][27615] Loss_D: -0.033562 Loss_G: 0.019207 Loss_D_real: -0.019498 Loss_D_fake 0.014064
[270/5000][495/535][27616] Loss_D: -0.032153 Loss_G: 0.029714 Loss_D_real: -0.026681 Loss_D_fake 0.005472
[270/5000][500/535][27617] Loss_D: -0.033359 Loss_G: 0.016536 Loss_D_real: -0.016135 Loss_D_fake 0.017224
[270/5000][505/535][27618] Loss_D: -0.034610 Loss_G: 0.020922 Loss_D_real: -0.027938 Loss_D_fake 0.006672
[270/5000][510/535][27619] Loss_D: -0.031338 Loss_G: 0.042074 Loss_D_real: -0.034022 Loss_D_fake -0.002684
[270/5000][515/535][27620] Loss_D: -0.034998 Loss_G: -0.002808 Loss_D_real: -0.009419 Loss_D_fake 0.025579
[270/5000][520/535][27621] Loss_D: -0.032429 Loss_G: 0.034539 Loss_D_real: -0.037590 Loss_D_fake -0.005161
[270/5000][525/535][27622] Loss_D: -0.032843 Loss_G: 0.012568 Loss_D_real: -0.006186 Loss_D_fake 0.026657
[270/5000][530/535][27623] Loss_D: -0.033738 Loss_G: 0.011291 Loss_D_real: -0.017882 Loss_D_fake 0.015856
[270/5000][535/535][27624] Loss_D: -0.033482 Loss_G: 0.007238 Loss_D_real: -0.017647 Loss_D_fake 0.015835
[271/5000][5/535][27625] Loss_D: -0.031660 Loss_G: 0.026334 Loss_D_real: -0.026161 Loss_D_fake 0.005499
[271/5000][10/535][27626] Loss_D: -0.032481 Loss_G: 0.023491 Loss_D_real: -0.025297 Loss_D_fake 0.007184
[271/5000][15/535][27627] Loss_D: -0.033139 Loss_G: -0.003398 Loss_D_real: -0.013151 Loss_D_fake 0.019988
[271/5000][20/535][27628] Loss_D: -0.031478 Loss_G: 0.045285 Loss_D_real: -0.039598 Loss_D_fake -0.008120
[271/5000][25/535][27629] Loss_D: -0.032025 Loss_G: 0.031747 Loss_D_real: -0.031451 Loss_D_fake 0.000574
[271/5000][30/535][27630] Loss_D: -0.033286 Loss_G: 0.006500 Loss_D_real: -0.012681 Loss_D_fake 0.020604
[271/5000][35/535][27631] Loss_D: -0.032014 Loss_G: 0.032436 Loss_D_real: -0.028829 Loss_D_fake 0.003185
[271/5000][40/535][27632] Loss_D: -0.034814 Loss_G: 0.009580 Loss_D_real: -0.019186 Loss_D_fake 0.015629
[271/5000][45/535][27633] Loss_D: -0.031916 Loss_G: 0.032986 Loss_D_real: -0.035921 Loss_D_fake -0.004005
[271/5000][50/535][27634] Loss_D: -0.032184 Loss_G: 0.001589 Loss_D_real: -0.007044 Loss_D_fake 0.025140
[271/5000][55/535][27635] Loss_D: -0.032813 Loss_G: 0.007658 Loss_D_real: -0.019205 Loss_D_fake 0.013608
[271/5000][60/535][27636] Loss_D: -0.033993 Loss_G: 0.017691 Loss_D_real: -0.016244 Loss_D_fake 0.017749
[271/5000][65/535][27637] Loss_D: -0.032604 Loss_G: 0.042045 Loss_D_real: -0.032073 Loss_D_fake 0.000532
[271/5000][70/535][27638] Loss_D: -0.033887 Loss_G: 0.016293 Loss_D_real: -0.017538 Loss_D_fake 0.016349
[271/5000][75/535][27639] Loss_D: -0.030467 Loss_G: 0.039239 Loss_D_real: -0.037081 Loss_D_fake -0.006614
[271/5000][80/535][27640] Loss_D: -0.033618 Loss_G: 0.022964 Loss_D_real: -0.020769 Loss_D_fake 0.012849
[271/5000][85/535][27641] Loss_D: -0.034836 Loss_G: 0.007734 Loss_D_real: -0.014038 Loss_D_fake 0.020798
[271/5000][90/535][27642] Loss_D: -0.033038 Loss_G: 0.022937 Loss_D_real: -0.024865 Loss_D_fake 0.008173
[271/5000][95/535][27643] Loss_D: -0.033883 Loss_G: 0.026182 Loss_D_real: -0.025831 Loss_D_fake 0.008052
[271/5000][100/535][27644] Loss_D: -0.032570 Loss_G: 0.008392 Loss_D_real: -0.009554 Loss_D_fake 0.023016
[271/5000][105/535][27645] Loss_D: -0.033330 Loss_G: 0.012645 Loss_D_real: -0.022852 Loss_D_fake 0.010478
[271/5000][110/535][27646] Loss_D: -0.032596 Loss_G: 0.000131 Loss_D_real: 0.000315 Loss_D_fake 0.032911
[271/5000][115/535][27647] Loss_D: -0.033124 Loss_G: 0.022988 Loss_D_real: -0.025521 Loss_D_fake 0.007603
[271/5000][120/535][27648] Loss_D: -0.031837 Loss_G: 0.036431 Loss_D_real: -0.025485 Loss_D_fake 0.006353
[271/5000][125/535][27649] Loss_D: -0.034107 Loss_G: 0.023166 Loss_D_real: -0.018436 Loss_D_fake 0.015671
[271/5000][130/535][27650] Loss_D: -0.033267 Loss_G: 0.007972 Loss_D_real: -0.017954 Loss_D_fake 0.015313
[271/5000][135/535][27651] Loss_D: -0.032129 Loss_G: 0.029248 Loss_D_real: -0.029221 Loss_D_fake 0.002908
[271/5000][140/535][27652] Loss_D: -0.033368 Loss_G: 0.019740 Loss_D_real: -0.020135 Loss_D_fake 0.013233
[271/5000][145/535][27653] Loss_D: -0.034174 Loss_G: 0.020764 Loss_D_real: -0.016270 Loss_D_fake 0.017904
[271/5000][150/535][27654] Loss_D: -0.031931 Loss_G: -0.002785 Loss_D_real: -0.008592 Loss_D_fake 0.023340
[271/5000][155/535][27655] Loss_D: -0.032361 Loss_G: 0.031829 Loss_D_real: -0.038777 Loss_D_fake -0.006416
[271/5000][160/535][27656] Loss_D: -0.033143 Loss_G: 0.002370 Loss_D_real: -0.013165 Loss_D_fake 0.019979
[271/5000][165/535][27657] Loss_D: -0.031755 Loss_G: 0.031310 Loss_D_real: -0.028631 Loss_D_fake 0.003125
[271/5000][170/535][27658] Loss_D: -0.032691 Loss_G: 0.013089 Loss_D_real: -0.020020 Loss_D_fake 0.012671
[271/5000][175/535][27659] Loss_D: -0.033455 Loss_G: 0.016794 Loss_D_real: -0.018169 Loss_D_fake 0.015286
[271/5000][180/535][27660] Loss_D: -0.032540 Loss_G: -0.001003 Loss_D_real: -0.012473 Loss_D_fake 0.020067
[271/5000][185/535][27661] Loss_D: -0.035150 Loss_G: 0.031058 Loss_D_real: -0.033683 Loss_D_fake 0.001467
[271/5000][190/535][27662] Loss_D: -0.032249 Loss_G: 0.008912 Loss_D_real: -0.006917 Loss_D_fake 0.025333
[271/5000][195/535][27663] Loss_D: -0.034096 Loss_G: 0.021798 Loss_D_real: -0.022321 Loss_D_fake 0.011775
[271/5000][200/535][27664] Loss_D: -0.031742 Loss_G: 0.036546 Loss_D_real: -0.034453 Loss_D_fake -0.002711
[271/5000][205/535][27665] Loss_D: -0.033032 Loss_G: 0.019910 Loss_D_real: -0.020213 Loss_D_fake 0.012819
[271/5000][210/535][27666] Loss_D: -0.033076 Loss_G: 0.035262 Loss_D_real: -0.030088 Loss_D_fake 0.002987
[271/5000][215/535][27667] Loss_D: -0.032594 Loss_G: 0.031800 Loss_D_real: -0.029923 Loss_D_fake 0.002671
[271/5000][220/535][27668] Loss_D: -0.035309 Loss_G: 0.011871 Loss_D_real: -0.018764 Loss_D_fake 0.016545
[271/5000][225/535][27669] Loss_D: -0.032674 Loss_G: 0.031271 Loss_D_real: -0.031367 Loss_D_fake 0.001307
[271/5000][230/535][27670] Loss_D: -0.035061 Loss_G: 0.027155 Loss_D_real: -0.027506 Loss_D_fake 0.007555
[271/5000][235/535][27671] Loss_D: -0.032230 Loss_G: -0.015870 Loss_D_real: 0.006684 Loss_D_fake 0.038914
[271/5000][240/535][27672] Loss_D: -0.033845 Loss_G: 0.008809 Loss_D_real: -0.024646 Loss_D_fake 0.009199
[271/5000][245/535][27673] Loss_D: -0.032949 Loss_G: -0.004853 Loss_D_real: -0.011155 Loss_D_fake 0.021793
[271/5000][250/535][27674] Loss_D: -0.032368 Loss_G: 0.032730 Loss_D_real: -0.033765 Loss_D_fake -0.001396
[271/5000][255/535][27675] Loss_D: -0.031416 Loss_G: -0.002480 Loss_D_real: 0.001370 Loss_D_fake 0.032786
[271/5000][260/535][27676] Loss_D: -0.033434 Loss_G: 0.015053 Loss_D_real: -0.021955 Loss_D_fake 0.011480
[271/5000][265/535][27677] Loss_D: -0.032919 Loss_G: 0.018845 Loss_D_real: -0.024587 Loss_D_fake 0.008331
[271/5000][270/535][27678] Loss_D: -0.032280 Loss_G: 0.013151 Loss_D_real: -0.027564 Loss_D_fake 0.004717
[271/5000][275/535][27679] Loss_D: -0.034366 Loss_G: 0.021956 Loss_D_real: -0.026121 Loss_D_fake 0.008245
[271/5000][280/535][27680] Loss_D: -0.034028 Loss_G: 0.020186 Loss_D_real: -0.012042 Loss_D_fake 0.021985
[271/5000][285/535][27681] Loss_D: -0.032732 Loss_G: -0.000963 Loss_D_real: -0.011801 Loss_D_fake 0.020931
[271/5000][290/535][27682] Loss_D: -0.033023 Loss_G: 0.028912 Loss_D_real: -0.025992 Loss_D_fake 0.007031
[271/5000][295/535][27683] Loss_D: -0.032593 Loss_G: 0.042595 Loss_D_real: -0.029016 Loss_D_fake 0.003577
[271/5000][300/535][27684] Loss_D: -0.032272 Loss_G: 0.002168 Loss_D_real: -0.010281 Loss_D_fake 0.021991
[271/5000][305/535][27685] Loss_D: -0.033053 Loss_G: 0.015613 Loss_D_real: -0.011439 Loss_D_fake 0.021614
[271/5000][310/535][27686] Loss_D: -0.033948 Loss_G: 0.023611 Loss_D_real: -0.034322 Loss_D_fake -0.000374
[271/5000][315/535][27687] Loss_D: -0.034921 Loss_G: 0.026869 Loss_D_real: -0.021724 Loss_D_fake 0.013197
[271/5000][320/535][27688] Loss_D: -0.034072 Loss_G: -0.013766 Loss_D_real: -0.004707 Loss_D_fake 0.029365
[271/5000][325/535][27689] Loss_D: -0.031231 Loss_G: 0.021179 Loss_D_real: -0.030413 Loss_D_fake 0.000818
[271/5000][330/535][27690] Loss_D: -0.031432 Loss_G: 0.014550 Loss_D_real: -0.023271 Loss_D_fake 0.008161
[271/5000][335/535][27691] Loss_D: -0.033101 Loss_G: -0.004215 Loss_D_real: -0.006439 Loss_D_fake 0.026662
[271/5000][340/535][27692] Loss_D: -0.031410 Loss_G: 0.031370 Loss_D_real: -0.034484 Loss_D_fake -0.003074
[271/5000][345/535][27693] Loss_D: -0.031900 Loss_G: 0.019967 Loss_D_real: -0.033006 Loss_D_fake -0.001106
[271/5000][350/535][27694] Loss_D: -0.033500 Loss_G: 0.031743 Loss_D_real: -0.029754 Loss_D_fake 0.003746
[271/5000][355/535][27695] Loss_D: -0.032731 Loss_G: 0.004404 Loss_D_real: -0.007339 Loss_D_fake 0.025392
[271/5000][360/535][27696] Loss_D: -0.033608 Loss_G: 0.032864 Loss_D_real: -0.033336 Loss_D_fake 0.000272
[271/5000][365/535][27697] Loss_D: -0.032878 Loss_G: 0.006891 Loss_D_real: -0.013549 Loss_D_fake 0.019330
[271/5000][370/535][27698] Loss_D: -0.034082 Loss_G: 0.037407 Loss_D_real: -0.029578 Loss_D_fake 0.004504
[271/5000][375/535][27699] Loss_D: -0.033434 Loss_G: 0.020363 Loss_D_real: -0.026252 Loss_D_fake 0.007183
[271/5000][380/535][27700] Loss_D: -0.035195 Loss_G: -0.007601 Loss_D_real: -0.003225 Loss_D_fake 0.031971
[271/5000][385/535][27701] Loss_D: -0.032807 Loss_G: 0.021516 Loss_D_real: -0.030452 Loss_D_fake 0.002355
[271/5000][390/535][27702] Loss_D: -0.032008 Loss_G: -0.000248 Loss_D_real: -0.009063 Loss_D_fake 0.022945
[271/5000][395/535][27703] Loss_D: -0.030941 Loss_G: 0.035726 Loss_D_real: -0.032064 Loss_D_fake -0.001123
[271/5000][400/535][27704] Loss_D: -0.031396 Loss_G: -0.001161 Loss_D_real: -0.008484 Loss_D_fake 0.022912
[271/5000][405/535][27705] Loss_D: -0.032546 Loss_G: 0.017288 Loss_D_real: -0.029223 Loss_D_fake 0.003323
[271/5000][410/535][27706] Loss_D: -0.033189 Loss_G: 0.008660 Loss_D_real: -0.020196 Loss_D_fake 0.012993
[271/5000][415/535][27707] Loss_D: -0.034155 Loss_G: 0.015519 Loss_D_real: -0.019440 Loss_D_fake 0.014716
[271/5000][420/535][27708] Loss_D: -0.034012 Loss_G: 0.030830 Loss_D_real: -0.029313 Loss_D_fake 0.004698
[271/5000][425/535][27709] Loss_D: -0.033863 Loss_G: 0.001123 Loss_D_real: -0.015249 Loss_D_fake 0.018615
[271/5000][430/535][27710] Loss_D: -0.031948 Loss_G: 0.022052 Loss_D_real: -0.018705 Loss_D_fake 0.013243
[271/5000][435/535][27711] Loss_D: -0.034245 Loss_G: 0.015512 Loss_D_real: -0.016493 Loss_D_fake 0.017752
[271/5000][440/535][27712] Loss_D: -0.033061 Loss_G: 0.030102 Loss_D_real: -0.030835 Loss_D_fake 0.002226
[271/5000][445/535][27713] Loss_D: -0.033078 Loss_G: 0.016681 Loss_D_real: -0.014319 Loss_D_fake 0.018759
[271/5000][450/535][27714] Loss_D: -0.030231 Loss_G: -0.004895 Loss_D_real: -0.003058 Loss_D_fake 0.027174
[271/5000][455/535][27715] Loss_D: -0.031525 Loss_G: 0.024917 Loss_D_real: -0.028507 Loss_D_fake 0.003018
[271/5000][460/535][27716] Loss_D: -0.032807 Loss_G: 0.035743 Loss_D_real: -0.028659 Loss_D_fake 0.004148
[271/5000][465/535][27717] Loss_D: -0.032033 Loss_G: 0.012546 Loss_D_real: -0.014192 Loss_D_fake 0.017841
[271/5000][470/535][27718] Loss_D: -0.032278 Loss_G: 0.023895 Loss_D_real: -0.033242 Loss_D_fake -0.000964
[271/5000][475/535][27719] Loss_D: -0.033563 Loss_G: 0.013875 Loss_D_real: -0.020105 Loss_D_fake 0.013459
[271/5000][480/535][27720] Loss_D: -0.034688 Loss_G: 0.030224 Loss_D_real: -0.024085 Loss_D_fake 0.010602
[271/5000][485/535][27721] Loss_D: -0.033390 Loss_G: 0.003968 Loss_D_real: -0.017162 Loss_D_fake 0.016228
[271/5000][490/535][27722] Loss_D: -0.034076 Loss_G: 0.018575 Loss_D_real: -0.015139 Loss_D_fake 0.018937
[271/5000][495/535][27723] Loss_D: -0.033639 Loss_G: -0.004089 Loss_D_real: 0.000578 Loss_D_fake 0.034217
[271/5000][500/535][27724] Loss_D: -0.032209 Loss_G: 0.031393 Loss_D_real: -0.036326 Loss_D_fake -0.004118
[271/5000][505/535][27725] Loss_D: -0.032848 Loss_G: 0.030117 Loss_D_real: -0.030772 Loss_D_fake 0.002075
[271/5000][510/535][27726] Loss_D: -0.033100 Loss_G: -0.001698 Loss_D_real: -0.013288 Loss_D_fake 0.019811
[271/5000][515/535][27727] Loss_D: -0.032809 Loss_G: 0.030895 Loss_D_real: -0.026808 Loss_D_fake 0.006001
[271/5000][520/535][27728] Loss_D: -0.034485 Loss_G: 0.001703 Loss_D_real: -0.013601 Loss_D_fake 0.020884
[271/5000][525/535][27729] Loss_D: -0.031357 Loss_G: 0.032343 Loss_D_real: -0.033210 Loss_D_fake -0.001853
[271/5000][530/535][27730] Loss_D: -0.033298 Loss_G: 0.026343 Loss_D_real: -0.024008 Loss_D_fake 0.009290
[271/5000][535/535][27731] Loss_D: -0.036357 Loss_G: 0.000556 Loss_D_real: -0.007750 Loss_D_fake 0.028607
[272/5000][5/535][27732] Loss_D: -0.032602 Loss_G: 0.029118 Loss_D_real: -0.026565 Loss_D_fake 0.006037
[272/5000][10/535][27733] Loss_D: -0.031201 Loss_G: 0.010573 Loss_D_real: -0.017338 Loss_D_fake 0.013863
[272/5000][15/535][27734] Loss_D: -0.034925 Loss_G: 0.028245 Loss_D_real: -0.028395 Loss_D_fake 0.006530
[272/5000][20/535][27735] Loss_D: -0.031519 Loss_G: 0.039720 Loss_D_real: -0.041944 Loss_D_fake -0.010425
[272/5000][25/535][27736] Loss_D: -0.034184 Loss_G: 0.004323 Loss_D_real: -0.014490 Loss_D_fake 0.019694
[272/5000][30/535][27737] Loss_D: -0.034701 Loss_G: 0.019445 Loss_D_real: -0.020729 Loss_D_fake 0.013973
[272/5000][35/535][27738] Loss_D: -0.030975 Loss_G: -0.017676 Loss_D_real: 0.003748 Loss_D_fake 0.034722
[272/5000][40/535][27739] Loss_D: -0.031406 Loss_G: 0.020961 Loss_D_real: -0.020431 Loss_D_fake 0.010974
[272/5000][45/535][27740] Loss_D: -0.032866 Loss_G: -0.004042 Loss_D_real: -0.009050 Loss_D_fake 0.023816
[272/5000][50/535][27741] Loss_D: -0.033566 Loss_G: 0.032311 Loss_D_real: -0.032857 Loss_D_fake 0.000709
[272/5000][55/535][27742] Loss_D: -0.033609 Loss_G: 0.017524 Loss_D_real: -0.018917 Loss_D_fake 0.014692
[272/5000][60/535][27743] Loss_D: -0.033875 Loss_G: -0.002066 Loss_D_real: -0.010306 Loss_D_fake 0.023570
[272/5000][65/535][27744] Loss_D: -0.034132 Loss_G: 0.020797 Loss_D_real: -0.025744 Loss_D_fake 0.008389
[272/5000][70/535][27745] Loss_D: -0.033514 Loss_G: 0.033414 Loss_D_real: -0.031642 Loss_D_fake 0.001871
[272/5000][75/535][27746] Loss_D: -0.033342 Loss_G: 0.005005 Loss_D_real: -0.011426 Loss_D_fake 0.021915
[272/5000][80/535][27747] Loss_D: -0.031675 Loss_G: 0.021130 Loss_D_real: -0.033551 Loss_D_fake -0.001876
[272/5000][85/535][27748] Loss_D: -0.032168 Loss_G: 0.011955 Loss_D_real: -0.019466 Loss_D_fake 0.012701
[272/5000][90/535][27749] Loss_D: -0.032503 Loss_G: 0.012019 Loss_D_real: -0.011044 Loss_D_fake 0.021459
[272/5000][95/535][27750] Loss_D: -0.032812 Loss_G: 0.004553 Loss_D_real: -0.008919 Loss_D_fake 0.023893
[272/5000][100/535][27751] Loss_D: -0.030920 Loss_G: 0.040507 Loss_D_real: -0.036507 Loss_D_fake -0.005587
[272/5000][105/535][27752] Loss_D: -0.028743 Loss_G: -0.008748 Loss_D_real: -0.004133 Loss_D_fake 0.024610
[272/5000][110/535][27753] Loss_D: -0.031508 Loss_G: 0.000885 Loss_D_real: -0.018252 Loss_D_fake 0.013256
[272/5000][115/535][27754] Loss_D: -0.032016 Loss_G: 0.019759 Loss_D_real: -0.023108 Loss_D_fake 0.008908
[272/5000][120/535][27755] Loss_D: -0.033864 Loss_G: 0.007311 Loss_D_real: -0.006337 Loss_D_fake 0.027526
[272/5000][125/535][27756] Loss_D: -0.031787 Loss_G: 0.016222 Loss_D_real: -0.029331 Loss_D_fake 0.002457
[272/5000][130/535][27757] Loss_D: -0.033708 Loss_G: 0.012380 Loss_D_real: -0.014501 Loss_D_fake 0.019207
[272/5000][135/535][27758] Loss_D: -0.033820 Loss_G: 0.022533 Loss_D_real: -0.024415 Loss_D_fake 0.009405
[272/5000][140/535][27759] Loss_D: -0.031461 Loss_G: 0.010120 Loss_D_real: -0.012965 Loss_D_fake 0.018496
[272/5000][145/535][27760] Loss_D: -0.034904 Loss_G: 0.014201 Loss_D_real: -0.017828 Loss_D_fake 0.017076
[272/5000][150/535][27761] Loss_D: -0.032487 Loss_G: 0.031878 Loss_D_real: -0.029838 Loss_D_fake 0.002649
[272/5000][155/535][27762] Loss_D: -0.033860 Loss_G: -0.004347 Loss_D_real: -0.006451 Loss_D_fake 0.027409
[272/5000][160/535][27763] Loss_D: -0.032766 Loss_G: 0.022731 Loss_D_real: -0.020656 Loss_D_fake 0.012110
[272/5000][165/535][27764] Loss_D: -0.031837 Loss_G: 0.021427 Loss_D_real: -0.023098 Loss_D_fake 0.008739
[272/5000][170/535][27765] Loss_D: -0.035249 Loss_G: 0.033556 Loss_D_real: -0.022545 Loss_D_fake 0.012704
[272/5000][175/535][27766] Loss_D: -0.033698 Loss_G: 0.017074 Loss_D_real: -0.009860 Loss_D_fake 0.023838
[272/5000][180/535][27767] Loss_D: -0.032968 Loss_G: -0.001950 Loss_D_real: -0.012273 Loss_D_fake 0.020694
[272/5000][185/535][27768] Loss_D: -0.032004 Loss_G: 0.037952 Loss_D_real: -0.036887 Loss_D_fake -0.004883
[272/5000][190/535][27769] Loss_D: -0.032597 Loss_G: 0.001429 Loss_D_real: -0.011815 Loss_D_fake 0.020782
[272/5000][195/535][27770] Loss_D: -0.033539 Loss_G: 0.033279 Loss_D_real: -0.036592 Loss_D_fake -0.003053
[272/5000][200/535][27771] Loss_D: -0.034078 Loss_G: 0.019135 Loss_D_real: -0.022253 Loss_D_fake 0.011826
[272/5000][205/535][27772] Loss_D: -0.033529 Loss_G: 0.033709 Loss_D_real: -0.034153 Loss_D_fake -0.000623
[272/5000][210/535][27773] Loss_D: -0.032510 Loss_G: 0.014641 Loss_D_real: -0.019003 Loss_D_fake 0.013507
[272/5000][215/535][27774] Loss_D: -0.033108 Loss_G: -0.014048 Loss_D_real: 0.005627 Loss_D_fake 0.038735
[272/5000][220/535][27775] Loss_D: -0.032065 Loss_G: 0.005033 Loss_D_real: -0.013372 Loss_D_fake 0.018692
[272/5000][225/535][27776] Loss_D: -0.032623 Loss_G: 0.023976 Loss_D_real: -0.022166 Loss_D_fake 0.010457
[272/5000][230/535][27777] Loss_D: -0.032495 Loss_G: 0.037859 Loss_D_real: -0.033274 Loss_D_fake -0.000780
[272/5000][235/535][27778] Loss_D: -0.033175 Loss_G: 0.020550 Loss_D_real: -0.024170 Loss_D_fake 0.009006
[272/5000][240/535][27779] Loss_D: -0.031820 Loss_G: 0.001456 Loss_D_real: -0.009595 Loss_D_fake 0.022225
[272/5000][245/535][27780] Loss_D: -0.032805 Loss_G: 0.037230 Loss_D_real: -0.038064 Loss_D_fake -0.005259
[272/5000][250/535][27781] Loss_D: -0.032645 Loss_G: -0.004455 Loss_D_real: 0.002649 Loss_D_fake 0.035294
[272/5000][255/535][27782] Loss_D: -0.031359 Loss_G: 0.025323 Loss_D_real: -0.029128 Loss_D_fake 0.002230
[272/5000][260/535][27783] Loss_D: -0.032766 Loss_G: 0.016890 Loss_D_real: -0.015162 Loss_D_fake 0.017604
[272/5000][265/535][27784] Loss_D: -0.032352 Loss_G: 0.015943 Loss_D_real: -0.020786 Loss_D_fake 0.011566
[272/5000][270/535][27785] Loss_D: -0.031054 Loss_G: 0.009392 Loss_D_real: -0.010123 Loss_D_fake 0.020931
[272/5000][275/535][27786] Loss_D: -0.032423 Loss_G: 0.024403 Loss_D_real: -0.022828 Loss_D_fake 0.009595
[272/5000][280/535][27787] Loss_D: -0.029584 Loss_G: 0.004403 Loss_D_real: -0.008197 Loss_D_fake 0.021388
[272/5000][285/535][27788] Loss_D: -0.032737 Loss_G: 0.020778 Loss_D_real: -0.012364 Loss_D_fake 0.020373
[272/5000][290/535][27789] Loss_D: -0.033145 Loss_G: 0.018741 Loss_D_real: -0.023798 Loss_D_fake 0.009347
[272/5000][295/535][27790] Loss_D: -0.032277 Loss_G: 0.028015 Loss_D_real: -0.039723 Loss_D_fake -0.007446
[272/5000][300/535][27791] Loss_D: -0.033833 Loss_G: 0.030207 Loss_D_real: -0.023742 Loss_D_fake 0.010091
[272/5000][305/535][27792] Loss_D: -0.033988 Loss_G: 0.001185 Loss_D_real: -0.007877 Loss_D_fake 0.026111
[272/5000][310/535][27793] Loss_D: -0.031832 Loss_G: 0.002059 Loss_D_real: -0.009928 Loss_D_fake 0.021903
[272/5000][315/535][27794] Loss_D: -0.033766 Loss_G: 0.025898 Loss_D_real: -0.033713 Loss_D_fake 0.000053
[272/5000][320/535][27795] Loss_D: -0.033293 Loss_G: 0.005260 Loss_D_real: -0.002083 Loss_D_fake 0.031209
[272/5000][325/535][27796] Loss_D: -0.032563 Loss_G: 0.008715 Loss_D_real: -0.013873 Loss_D_fake 0.018689
[272/5000][330/535][27797] Loss_D: -0.032254 Loss_G: -0.014049 Loss_D_real: -0.011189 Loss_D_fake 0.021065
[272/5000][335/535][27798] Loss_D: -0.030414 Loss_G: 0.036063 Loss_D_real: -0.037398 Loss_D_fake -0.006984
[272/5000][340/535][27799] Loss_D: -0.033121 Loss_G: -0.007917 Loss_D_real: -0.009648 Loss_D_fake 0.023473
[272/5000][345/535][27800] Loss_D: -0.032771 Loss_G: 0.014752 Loss_D_real: -0.017325 Loss_D_fake 0.015446
[272/5000][350/535][27801] Loss_D: -0.032228 Loss_G: 0.000959 Loss_D_real: -0.010744 Loss_D_fake 0.021484
[272/5000][355/535][27802] Loss_D: -0.031847 Loss_G: 0.016073 Loss_D_real: -0.016060 Loss_D_fake 0.015786
[272/5000][360/535][27803] Loss_D: -0.032774 Loss_G: -0.001088 Loss_D_real: -0.008996 Loss_D_fake 0.023778
[272/5000][365/535][27804] Loss_D: -0.033008 Loss_G: 0.012559 Loss_D_real: -0.016579 Loss_D_fake 0.016429
[272/5000][370/535][27805] Loss_D: -0.034562 Loss_G: 0.004336 Loss_D_real: -0.010442 Loss_D_fake 0.024120
[272/5000][375/535][27806] Loss_D: -0.034505 Loss_G: 0.026647 Loss_D_real: -0.027418 Loss_D_fake 0.007087
[272/5000][380/535][27807] Loss_D: -0.035019 Loss_G: 0.011369 Loss_D_real: -0.021081 Loss_D_fake 0.013938
[272/5000][385/535][27808] Loss_D: -0.033315 Loss_G: 0.029904 Loss_D_real: -0.029989 Loss_D_fake 0.003326
[272/5000][390/535][27809] Loss_D: -0.033473 Loss_G: 0.000100 Loss_D_real: -0.003780 Loss_D_fake 0.029693
[272/5000][395/535][27810] Loss_D: -0.032873 Loss_G: 0.024215 Loss_D_real: -0.024374 Loss_D_fake 0.008499
[272/5000][400/535][27811] Loss_D: -0.033103 Loss_G: -0.002825 Loss_D_real: 0.000847 Loss_D_fake 0.033950
[272/5000][405/535][27812] Loss_D: -0.032612 Loss_G: 0.031564 Loss_D_real: -0.028320 Loss_D_fake 0.004292
[272/5000][410/535][27813] Loss_D: -0.033071 Loss_G: 0.024334 Loss_D_real: -0.023851 Loss_D_fake 0.009220
[272/5000][415/535][27814] Loss_D: -0.033101 Loss_G: 0.009694 Loss_D_real: -0.018819 Loss_D_fake 0.014283
[272/5000][420/535][27815] Loss_D: -0.030979 Loss_G: 0.044630 Loss_D_real: -0.044087 Loss_D_fake -0.013108
[272/5000][425/535][27816] Loss_D: -0.032564 Loss_G: -0.001183 Loss_D_real: -0.014499 Loss_D_fake 0.018066
[272/5000][430/535][27817] Loss_D: -0.031458 Loss_G: 0.025549 Loss_D_real: -0.028241 Loss_D_fake 0.003217
[272/5000][435/535][27818] Loss_D: -0.033134 Loss_G: 0.033800 Loss_D_real: -0.033511 Loss_D_fake -0.000377
[272/5000][440/535][27819] Loss_D: -0.034124 Loss_G: 0.029919 Loss_D_real: -0.027593 Loss_D_fake 0.006531
[272/5000][445/535][27820] Loss_D: -0.032504 Loss_G: 0.006435 Loss_D_real: -0.016132 Loss_D_fake 0.016372
[272/5000][450/535][27821] Loss_D: -0.033658 Loss_G: 0.010977 Loss_D_real: -0.020602 Loss_D_fake 0.013056
[272/5000][455/535][27822] Loss_D: -0.032339 Loss_G: 0.013655 Loss_D_real: -0.026739 Loss_D_fake 0.005600
[272/5000][460/535][27823] Loss_D: -0.033941 Loss_G: 0.040654 Loss_D_real: -0.032369 Loss_D_fake 0.001572
[272/5000][465/535][27824] Loss_D: -0.031241 Loss_G: 0.014438 Loss_D_real: -0.016663 Loss_D_fake 0.014578
[272/5000][470/535][27825] Loss_D: -0.032223 Loss_G: -0.008003 Loss_D_real: -0.015307 Loss_D_fake 0.016916
[272/5000][475/535][27826] Loss_D: -0.032901 Loss_G: 0.016953 Loss_D_real: -0.015049 Loss_D_fake 0.017852
[272/5000][480/535][27827] Loss_D: -0.031467 Loss_G: -0.002969 Loss_D_real: -0.012628 Loss_D_fake 0.018839
[272/5000][485/535][27828] Loss_D: -0.031753 Loss_G: 0.025362 Loss_D_real: -0.020952 Loss_D_fake 0.010801
[272/5000][490/535][27829] Loss_D: -0.033073 Loss_G: 0.017307 Loss_D_real: -0.027188 Loss_D_fake 0.005885
[272/5000][495/535][27830] Loss_D: -0.032986 Loss_G: 0.029428 Loss_D_real: -0.027040 Loss_D_fake 0.005946
[272/5000][500/535][27831] Loss_D: -0.035073 Loss_G: 0.012621 Loss_D_real: -0.021583 Loss_D_fake 0.013490
[272/5000][505/535][27832] Loss_D: -0.031117 Loss_G: 0.004842 Loss_D_real: -0.003010 Loss_D_fake 0.028108
[272/5000][510/535][27833] Loss_D: -0.032224 Loss_G: 0.043960 Loss_D_real: -0.042356 Loss_D_fake -0.010132
[272/5000][515/535][27834] Loss_D: -0.033094 Loss_G: -0.000263 Loss_D_real: -0.004656 Loss_D_fake 0.028438
[272/5000][520/535][27835] Loss_D: -0.032061 Loss_G: 0.036480 Loss_D_real: -0.032271 Loss_D_fake -0.000211
[272/5000][525/535][27836] Loss_D: -0.032042 Loss_G: 0.003515 Loss_D_real: -0.008674 Loss_D_fake 0.023368
[272/5000][530/535][27837] Loss_D: -0.031490 Loss_G: 0.035146 Loss_D_real: -0.037609 Loss_D_fake -0.006119
[272/5000][535/535][27838] Loss_D: -0.033052 Loss_G: 0.016311 Loss_D_real: -0.012111 Loss_D_fake 0.020941
[273/5000][5/535][27839] Loss_D: -0.032272 Loss_G: 0.025450 Loss_D_real: -0.028675 Loss_D_fake 0.003597
[273/5000][10/535][27840] Loss_D: -0.033028 Loss_G: 0.022409 Loss_D_real: -0.020843 Loss_D_fake 0.012185
[273/5000][15/535][27841] Loss_D: -0.031705 Loss_G: 0.011940 Loss_D_real: -0.016065 Loss_D_fake 0.015640
[273/5000][20/535][27842] Loss_D: -0.033481 Loss_G: 0.029839 Loss_D_real: -0.032877 Loss_D_fake 0.000603
[273/5000][25/535][27843] Loss_D: -0.032942 Loss_G: 0.003506 Loss_D_real: -0.006021 Loss_D_fake 0.026920
[273/5000][30/535][27844] Loss_D: -0.031902 Loss_G: 0.031878 Loss_D_real: -0.035891 Loss_D_fake -0.003989
[273/5000][35/535][27845] Loss_D: -0.034673 Loss_G: -0.004600 Loss_D_real: -0.012479 Loss_D_fake 0.022194
[273/5000][40/535][27846] Loss_D: -0.030607 Loss_G: 0.032104 Loss_D_real: -0.024503 Loss_D_fake 0.006105
[273/5000][45/535][27847] Loss_D: -0.032684 Loss_G: 0.011311 Loss_D_real: -0.007036 Loss_D_fake 0.025648
[273/5000][50/535][27848] Loss_D: -0.033653 Loss_G: 0.020332 Loss_D_real: -0.021104 Loss_D_fake 0.012549
[273/5000][55/535][27849] Loss_D: -0.031390 Loss_G: 0.021812 Loss_D_real: -0.025398 Loss_D_fake 0.005992
[273/5000][60/535][27850] Loss_D: -0.034600 Loss_G: 0.012208 Loss_D_real: -0.019627 Loss_D_fake 0.014973
[273/5000][65/535][27851] Loss_D: -0.032578 Loss_G: -0.003621 Loss_D_real: -0.011984 Loss_D_fake 0.020594
[273/5000][70/535][27852] Loss_D: -0.033317 Loss_G: 0.022401 Loss_D_real: -0.024921 Loss_D_fake 0.008396
[273/5000][75/535][27853] Loss_D: -0.033850 Loss_G: 0.019716 Loss_D_real: -0.018834 Loss_D_fake 0.015015
[273/5000][80/535][27854] Loss_D: -0.033396 Loss_G: 0.038837 Loss_D_real: -0.035008 Loss_D_fake -0.001613
[273/5000][85/535][27855] Loss_D: -0.031672 Loss_G: 0.014747 Loss_D_real: -0.019407 Loss_D_fake 0.012265
[273/5000][90/535][27856] Loss_D: -0.031825 Loss_G: 0.022122 Loss_D_real: -0.023263 Loss_D_fake 0.008562
[273/5000][95/535][27857] Loss_D: -0.032524 Loss_G: 0.004798 Loss_D_real: -0.013365 Loss_D_fake 0.019159
[273/5000][100/535][27858] Loss_D: -0.034321 Loss_G: 0.009633 Loss_D_real: -0.021337 Loss_D_fake 0.012984
[273/5000][105/535][27859] Loss_D: -0.032879 Loss_G: 0.040444 Loss_D_real: -0.038214 Loss_D_fake -0.005335
[273/5000][110/535][27860] Loss_D: -0.034298 Loss_G: 0.005678 Loss_D_real: -0.015259 Loss_D_fake 0.019039
[273/5000][115/535][27861] Loss_D: -0.031419 Loss_G: 0.037972 Loss_D_real: -0.034517 Loss_D_fake -0.003098
[273/5000][120/535][27862] Loss_D: -0.032834 Loss_G: 0.018134 Loss_D_real: -0.018731 Loss_D_fake 0.014103
[273/5000][125/535][27863] Loss_D: -0.032192 Loss_G: 0.014197 Loss_D_real: -0.014009 Loss_D_fake 0.018182
[273/5000][130/535][27864] Loss_D: -0.033416 Loss_G: 0.008253 Loss_D_real: -0.025031 Loss_D_fake 0.008385
[273/5000][135/535][27865] Loss_D: -0.032294 Loss_G: -0.009991 Loss_D_real: 0.001780 Loss_D_fake 0.034074
[273/5000][140/535][27866] Loss_D: -0.032211 Loss_G: 0.017871 Loss_D_real: -0.018402 Loss_D_fake 0.013809
[273/5000][145/535][27867] Loss_D: -0.031739 Loss_G: 0.004220 Loss_D_real: -0.005234 Loss_D_fake 0.026505
[273/5000][150/535][27868] Loss_D: -0.031656 Loss_G: 0.012489 Loss_D_real: -0.025048 Loss_D_fake 0.006608
[273/5000][155/535][27869] Loss_D: -0.031437 Loss_G: 0.006708 Loss_D_real: -0.010351 Loss_D_fake 0.021086
[273/5000][160/535][27870] Loss_D: -0.034417 Loss_G: 0.019121 Loss_D_real: -0.021400 Loss_D_fake 0.013017
[273/5000][165/535][27871] Loss_D: -0.031900 Loss_G: 0.005994 Loss_D_real: -0.008314 Loss_D_fake 0.023586
[273/5000][170/535][27872] Loss_D: -0.033197 Loss_G: 0.000827 Loss_D_real: -0.013735 Loss_D_fake 0.019461
[273/5000][175/535][27873] Loss_D: -0.030095 Loss_G: 0.050644 Loss_D_real: -0.040131 Loss_D_fake -0.010036
[273/5000][180/535][27874] Loss_D: -0.034089 Loss_G: -0.000193 Loss_D_real: -0.010160 Loss_D_fake 0.023929
[273/5000][185/535][27875] Loss_D: -0.033209 Loss_G: 0.024262 Loss_D_real: -0.022701 Loss_D_fake 0.010508
[273/5000][190/535][27876] Loss_D: -0.032896 Loss_G: 0.022153 Loss_D_real: -0.024669 Loss_D_fake 0.008227
[273/5000][195/535][27877] Loss_D: -0.033973 Loss_G: -0.006023 Loss_D_real: -0.000488 Loss_D_fake 0.033485
[273/5000][200/535][27878] Loss_D: -0.031236 Loss_G: 0.032735 Loss_D_real: -0.024999 Loss_D_fake 0.006237
[273/5000][205/535][27879] Loss_D: -0.033271 Loss_G: 0.025458 Loss_D_real: -0.026653 Loss_D_fake 0.006618
[273/5000][210/535][27880] Loss_D: -0.033796 Loss_G: 0.030225 Loss_D_real: -0.033309 Loss_D_fake 0.000487
[273/5000][215/535][27881] Loss_D: -0.032562 Loss_G: 0.033099 Loss_D_real: -0.033438 Loss_D_fake -0.000876
[273/5000][220/535][27882] Loss_D: -0.033366 Loss_G: 0.028364 Loss_D_real: -0.024648 Loss_D_fake 0.008718
[273/5000][225/535][27883] Loss_D: -0.034350 Loss_G: 0.020054 Loss_D_real: -0.025293 Loss_D_fake 0.009056
[273/5000][230/535][27884] Loss_D: -0.034212 Loss_G: -0.000667 Loss_D_real: -0.003602 Loss_D_fake 0.030610
[273/5000][235/535][27885] Loss_D: -0.033151 Loss_G: 0.026683 Loss_D_real: -0.029224 Loss_D_fake 0.003927
[273/5000][240/535][27886] Loss_D: -0.032128 Loss_G: 0.010165 Loss_D_real: -0.015752 Loss_D_fake 0.016376
[273/5000][245/535][27887] Loss_D: -0.034489 Loss_G: 0.009105 Loss_D_real: -0.011265 Loss_D_fake 0.023223
[273/5000][250/535][27888] Loss_D: -0.033323 Loss_G: 0.023698 Loss_D_real: -0.024090 Loss_D_fake 0.009233
[273/5000][255/535][27889] Loss_D: -0.032498 Loss_G: 0.039550 Loss_D_real: -0.023353 Loss_D_fake 0.009145
[273/5000][260/535][27890] Loss_D: -0.032206 Loss_G: 0.008998 Loss_D_real: -0.017003 Loss_D_fake 0.015203
[273/5000][265/535][27891] Loss_D: -0.032369 Loss_G: 0.033916 Loss_D_real: -0.029032 Loss_D_fake 0.003337
[273/5000][270/535][27892] Loss_D: -0.031832 Loss_G: -0.022176 Loss_D_real: 0.006754 Loss_D_fake 0.038586
[273/5000][275/535][27893] Loss_D: -0.031815 Loss_G: 0.018598 Loss_D_real: -0.018335 Loss_D_fake 0.013480
[273/5000][280/535][27894] Loss_D: -0.031499 Loss_G: 0.001638 Loss_D_real: -0.014940 Loss_D_fake 0.016559
[273/5000][285/535][27895] Loss_D: -0.031372 Loss_G: 0.034944 Loss_D_real: -0.030666 Loss_D_fake 0.000705
[273/5000][290/535][27896] Loss_D: -0.032508 Loss_G: -0.005597 Loss_D_real: -0.009971 Loss_D_fake 0.022537
[273/5000][295/535][27897] Loss_D: -0.030890 Loss_G: 0.028341 Loss_D_real: -0.033379 Loss_D_fake -0.002489
[273/5000][300/535][27898] Loss_D: -0.030013 Loss_G: 0.015860 Loss_D_real: -0.013213 Loss_D_fake 0.016800
[273/5000][305/535][27899] Loss_D: -0.034579 Loss_G: 0.007416 Loss_D_real: -0.014704 Loss_D_fake 0.019875
[273/5000][310/535][27900] Loss_D: -0.033487 Loss_G: 0.019328 Loss_D_real: -0.026564 Loss_D_fake 0.006923
[273/5000][315/535][27901] Loss_D: -0.032424 Loss_G: 0.019630 Loss_D_real: -0.020644 Loss_D_fake 0.011780
[273/5000][320/535][27902] Loss_D: -0.034453 Loss_G: 0.012111 Loss_D_real: -0.020049 Loss_D_fake 0.014404
[273/5000][325/535][27903] Loss_D: -0.032996 Loss_G: 0.032794 Loss_D_real: -0.023610 Loss_D_fake 0.009386
[273/5000][330/535][27904] Loss_D: -0.032618 Loss_G: -0.005187 Loss_D_real: -0.002475 Loss_D_fake 0.030143
[273/5000][335/535][27905] Loss_D: -0.033358 Loss_G: 0.026023 Loss_D_real: -0.033205 Loss_D_fake 0.000153
[273/5000][340/535][27906] Loss_D: -0.032860 Loss_G: 0.029221 Loss_D_real: -0.026388 Loss_D_fake 0.006472
[273/5000][345/535][27907] Loss_D: -0.034413 Loss_G: 0.007929 Loss_D_real: -0.017820 Loss_D_fake 0.016593
[273/5000][350/535][27908] Loss_D: -0.030628 Loss_G: 0.044192 Loss_D_real: -0.037787 Loss_D_fake -0.007159
[273/5000][355/535][27909] Loss_D: -0.029557 Loss_G: -0.021607 Loss_D_real: -0.001266 Loss_D_fake 0.028292
[273/5000][360/535][27910] Loss_D: -0.031585 Loss_G: 0.015375 Loss_D_real: -0.022439 Loss_D_fake 0.009146
[273/5000][365/535][27911] Loss_D: -0.031876 Loss_G: 0.003960 Loss_D_real: -0.013011 Loss_D_fake 0.018865
[273/5000][370/535][27912] Loss_D: -0.031083 Loss_G: 0.010422 Loss_D_real: -0.016207 Loss_D_fake 0.014876
[273/5000][375/535][27913] Loss_D: -0.032395 Loss_G: 0.018428 Loss_D_real: -0.017648 Loss_D_fake 0.014747
[273/5000][380/535][27914] Loss_D: -0.032237 Loss_G: 0.013334 Loss_D_real: -0.016160 Loss_D_fake 0.016078
[273/5000][385/535][27915] Loss_D: -0.033896 Loss_G: 0.028526 Loss_D_real: -0.022511 Loss_D_fake 0.011385
[273/5000][390/535][27916] Loss_D: -0.033874 Loss_G: 0.007880 Loss_D_real: -0.019636 Loss_D_fake 0.014238
[273/5000][395/535][27917] Loss_D: -0.032583 Loss_G: 0.021318 Loss_D_real: -0.027133 Loss_D_fake 0.005450
[273/5000][400/535][27918] Loss_D: -0.032786 Loss_G: 0.017619 Loss_D_real: -0.024427 Loss_D_fake 0.008359
[273/5000][405/535][27919] Loss_D: -0.034844 Loss_G: 0.031159 Loss_D_real: -0.027403 Loss_D_fake 0.007441
[273/5000][410/535][27920] Loss_D: -0.032665 Loss_G: 0.016485 Loss_D_real: -0.020435 Loss_D_fake 0.012230
[273/5000][415/535][27921] Loss_D: -0.033130 Loss_G: -0.007150 Loss_D_real: -0.000364 Loss_D_fake 0.032766
[273/5000][420/535][27922] Loss_D: -0.033552 Loss_G: 0.016653 Loss_D_real: -0.023950 Loss_D_fake 0.009602
[273/5000][425/535][27923] Loss_D: -0.031276 Loss_G: 0.024887 Loss_D_real: -0.025014 Loss_D_fake 0.006262
[273/5000][430/535][27924] Loss_D: -0.034607 Loss_G: 0.023615 Loss_D_real: -0.026796 Loss_D_fake 0.007811
[273/5000][435/535][27925] Loss_D: -0.034349 Loss_G: 0.043510 Loss_D_real: -0.042057 Loss_D_fake -0.007709
[273/5000][440/535][27926] Loss_D: -0.032566 Loss_G: 0.011749 Loss_D_real: -0.016939 Loss_D_fake 0.015627
[273/5000][445/535][27927] Loss_D: -0.031245 Loss_G: 0.028629 Loss_D_real: -0.033203 Loss_D_fake -0.001958
[273/5000][450/535][27928] Loss_D: -0.030106 Loss_G: 0.044666 Loss_D_real: -0.041786 Loss_D_fake -0.011680
[273/5000][455/535][27929] Loss_D: -0.033851 Loss_G: -0.000652 Loss_D_real: -0.006986 Loss_D_fake 0.026866
[273/5000][460/535][27930] Loss_D: -0.034149 Loss_G: 0.021464 Loss_D_real: -0.026609 Loss_D_fake 0.007539
[273/5000][465/535][27931] Loss_D: -0.033033 Loss_G: 0.003047 Loss_D_real: -0.001929 Loss_D_fake 0.031105
[273/5000][470/535][27932] Loss_D: -0.032974 Loss_G: 0.037201 Loss_D_real: -0.031635 Loss_D_fake 0.001339
[273/5000][475/535][27933] Loss_D: -0.032311 Loss_G: 0.029851 Loss_D_real: -0.028465 Loss_D_fake 0.003846
[273/5000][480/535][27934] Loss_D: -0.033590 Loss_G: -0.008512 Loss_D_real: -0.007118 Loss_D_fake 0.026472
[273/5000][485/535][27935] Loss_D: -0.032209 Loss_G: 0.027801 Loss_D_real: -0.035964 Loss_D_fake -0.003755
[273/5000][490/535][27936] Loss_D: -0.032193 Loss_G: 0.017090 Loss_D_real: -0.023350 Loss_D_fake 0.008843
[273/5000][495/535][27937] Loss_D: -0.032105 Loss_G: 0.036917 Loss_D_real: -0.037622 Loss_D_fake -0.005518
[273/5000][500/535][27938] Loss_D: -0.032602 Loss_G: 0.023508 Loss_D_real: -0.027706 Loss_D_fake 0.004896
[273/5000][505/535][27939] Loss_D: -0.034939 Loss_G: 0.027159 Loss_D_real: -0.033562 Loss_D_fake 0.001377
[273/5000][510/535][27940] Loss_D: -0.033402 Loss_G: 0.032387 Loss_D_real: -0.031876 Loss_D_fake 0.001526
[273/5000][515/535][27941] Loss_D: -0.033614 Loss_G: 0.028053 Loss_D_real: -0.030695 Loss_D_fake 0.002919
[273/5000][520/535][27942] Loss_D: -0.032752 Loss_G: 0.019300 Loss_D_real: -0.019150 Loss_D_fake 0.013602
[273/5000][525/535][27943] Loss_D: -0.033716 Loss_G: 0.026227 Loss_D_real: -0.028217 Loss_D_fake 0.005499
[273/5000][530/535][27944] Loss_D: -0.032269 Loss_G: 0.020560 Loss_D_real: -0.021750 Loss_D_fake 0.010520
[273/5000][535/535][27945] Loss_D: -0.033600 Loss_G: -0.019897 Loss_D_real: -0.010087 Loss_D_fake 0.023513
[274/5000][5/535][27946] Loss_D: -0.032467 Loss_G: 0.018925 Loss_D_real: -0.018307 Loss_D_fake 0.014161
[274/5000][10/535][27947] Loss_D: -0.032997 Loss_G: 0.008253 Loss_D_real: -0.013295 Loss_D_fake 0.019702
[274/5000][15/535][27948] Loss_D: -0.032048 Loss_G: 0.028525 Loss_D_real: -0.032417 Loss_D_fake -0.000370
[274/5000][20/535][27949] Loss_D: -0.033712 Loss_G: 0.019436 Loss_D_real: -0.023926 Loss_D_fake 0.009786
[274/5000][25/535][27950] Loss_D: -0.033985 Loss_G: 0.015594 Loss_D_real: -0.023457 Loss_D_fake 0.010528
[274/5000][30/535][27951] Loss_D: -0.033672 Loss_G: 0.009489 Loss_D_real: -0.016802 Loss_D_fake 0.016870
[274/5000][35/535][27952] Loss_D: -0.032697 Loss_G: -0.004695 Loss_D_real: -0.007178 Loss_D_fake 0.025518
[274/5000][40/535][27953] Loss_D: -0.031389 Loss_G: 0.039632 Loss_D_real: -0.038803 Loss_D_fake -0.007414
[274/5000][45/535][27954] Loss_D: -0.033594 Loss_G: 0.035048 Loss_D_real: -0.033554 Loss_D_fake 0.000041
[274/5000][50/535][27955] Loss_D: -0.032739 Loss_G: -0.010657 Loss_D_real: -0.006933 Loss_D_fake 0.025807
[274/5000][55/535][27956] Loss_D: -0.028759 Loss_G: 0.041075 Loss_D_real: -0.044891 Loss_D_fake -0.016131
[274/5000][60/535][27957] Loss_D: -0.032884 Loss_G: 0.005011 Loss_D_real: -0.006135 Loss_D_fake 0.026749
[274/5000][65/535][27958] Loss_D: -0.032338 Loss_G: -0.000717 Loss_D_real: -0.013833 Loss_D_fake 0.018505
[274/5000][70/535][27959] Loss_D: -0.032461 Loss_G: 0.009628 Loss_D_real: -0.017117 Loss_D_fake 0.015345
[274/5000][75/535][27960] Loss_D: -0.033168 Loss_G: 0.025806 Loss_D_real: -0.024145 Loss_D_fake 0.009023
[274/5000][80/535][27961] Loss_D: -0.031692 Loss_G: 0.019485 Loss_D_real: -0.021329 Loss_D_fake 0.010364
[274/5000][85/535][27962] Loss_D: -0.033887 Loss_G: 0.027251 Loss_D_real: -0.025285 Loss_D_fake 0.008603
[274/5000][90/535][27963] Loss_D: -0.033996 Loss_G: 0.003135 Loss_D_real: -0.009631 Loss_D_fake 0.024365
[274/5000][95/535][27964] Loss_D: -0.032865 Loss_G: 0.028697 Loss_D_real: -0.032023 Loss_D_fake 0.000842
[274/5000][100/535][27965] Loss_D: -0.032437 Loss_G: -0.008645 Loss_D_real: -0.003448 Loss_D_fake 0.028989
[274/5000][105/535][27966] Loss_D: -0.032723 Loss_G: 0.031572 Loss_D_real: -0.034909 Loss_D_fake -0.002187
[274/5000][110/535][27967] Loss_D: -0.031829 Loss_G: 0.028080 Loss_D_real: -0.028423 Loss_D_fake 0.003406
[274/5000][115/535][27968] Loss_D: -0.034728 Loss_G: 0.030754 Loss_D_real: -0.030415 Loss_D_fake 0.004313
[274/5000][120/535][27969] Loss_D: -0.032850 Loss_G: 0.004358 Loss_D_real: -0.006784 Loss_D_fake 0.026066
[274/5000][125/535][27970] Loss_D: -0.033446 Loss_G: 0.032582 Loss_D_real: -0.026904 Loss_D_fake 0.006542
[274/5000][130/535][27971] Loss_D: -0.032317 Loss_G: -0.003621 Loss_D_real: -0.010182 Loss_D_fake 0.022135
[274/5000][135/535][27972] Loss_D: -0.032867 Loss_G: 0.016239 Loss_D_real: -0.022158 Loss_D_fake 0.010709
[274/5000][140/535][27973] Loss_D: -0.034104 Loss_G: 0.004159 Loss_D_real: -0.011196 Loss_D_fake 0.022908
[274/5000][145/535][27974] Loss_D: -0.031786 Loss_G: 0.021341 Loss_D_real: -0.024983 Loss_D_fake 0.006803
[274/5000][150/535][27975] Loss_D: -0.031174 Loss_G: 0.039630 Loss_D_real: -0.040081 Loss_D_fake -0.008907
[274/5000][155/535][27976] Loss_D: -0.034630 Loss_G: 0.015404 Loss_D_real: -0.015278 Loss_D_fake 0.019351
[274/5000][160/535][27977] Loss_D: -0.034896 Loss_G: 0.004567 Loss_D_real: -0.021004 Loss_D_fake 0.013892
[274/5000][165/535][27978] Loss_D: -0.032349 Loss_G: -0.001597 Loss_D_real: -0.005628 Loss_D_fake 0.026720
[274/5000][170/535][27979] Loss_D: -0.032973 Loss_G: 0.021590 Loss_D_real: -0.016670 Loss_D_fake 0.016303
[274/5000][175/535][27980] Loss_D: -0.032543 Loss_G: 0.014482 Loss_D_real: -0.021132 Loss_D_fake 0.011411
[274/5000][180/535][27981] Loss_D: -0.034147 Loss_G: 0.022579 Loss_D_real: -0.019537 Loss_D_fake 0.014610
[274/5000][185/535][27982] Loss_D: -0.032151 Loss_G: 0.002601 Loss_D_real: -0.015208 Loss_D_fake 0.016943
[274/5000][190/535][27983] Loss_D: -0.032371 Loss_G: 0.044536 Loss_D_real: -0.034020 Loss_D_fake -0.001650
[274/5000][195/535][27984] Loss_D: -0.031604 Loss_G: -0.000045 Loss_D_real: 0.003185 Loss_D_fake 0.034789
[274/5000][200/535][27985] Loss_D: -0.032351 Loss_G: 0.009387 Loss_D_real: -0.018496 Loss_D_fake 0.013854
[274/5000][205/535][27986] Loss_D: -0.032428 Loss_G: 0.021404 Loss_D_real: -0.024197 Loss_D_fake 0.008231
[274/5000][210/535][27987] Loss_D: -0.032395 Loss_G: 0.014376 Loss_D_real: -0.021136 Loss_D_fake 0.011259
[274/5000][215/535][27988] Loss_D: -0.033389 Loss_G: 0.034891 Loss_D_real: -0.034548 Loss_D_fake -0.001159
[274/5000][220/535][27989] Loss_D: -0.034061 Loss_G: 0.030262 Loss_D_real: -0.029767 Loss_D_fake 0.004294
[274/5000][225/535][27990] Loss_D: -0.034306 Loss_G: 0.009321 Loss_D_real: -0.012210 Loss_D_fake 0.022096
[274/5000][230/535][27991] Loss_D: -0.032087 Loss_G: 0.037404 Loss_D_real: -0.036997 Loss_D_fake -0.004911
[274/5000][235/535][27992] Loss_D: -0.033484 Loss_G: 0.022919 Loss_D_real: -0.016489 Loss_D_fake 0.016995
[274/5000][240/535][27993] Loss_D: -0.032432 Loss_G: -0.011502 Loss_D_real: -0.000686 Loss_D_fake 0.031746
[274/5000][245/535][27994] Loss_D: -0.032276 Loss_G: 0.032445 Loss_D_real: -0.034165 Loss_D_fake -0.001889
[274/5000][250/535][27995] Loss_D: -0.033055 Loss_G: -0.005091 Loss_D_real: 0.001702 Loss_D_fake 0.034758
[274/5000][255/535][27996] Loss_D: -0.031012 Loss_G: 0.024536 Loss_D_real: -0.036719 Loss_D_fake -0.005707
[274/5000][260/535][27997] Loss_D: -0.034395 Loss_G: 0.029272 Loss_D_real: -0.037200 Loss_D_fake -0.002805
[274/5000][265/535][27998] Loss_D: -0.033592 Loss_G: 0.033783 Loss_D_real: -0.039342 Loss_D_fake -0.005749
[274/5000][270/535][27999] Loss_D: -0.033902 Loss_G: 0.034942 Loss_D_real: -0.032812 Loss_D_fake 0.001090
[274/5000][275/535][28000] Loss_D: -0.030988 Loss_G: -0.003262 Loss_D_real: -0.007978 Loss_D_fake 0.023011
[274/5000][375/535][28001] Loss_D: -0.035323 Loss_G: -0.005697 Loss_D_real: -0.003104 Loss_D_fake 0.032219
[274/5000][380/535][28002] Loss_D: -0.035313 Loss_G: 0.025905 Loss_D_real: -0.020725 Loss_D_fake 0.014587
[274/5000][385/535][28003] Loss_D: -0.030839 Loss_G: 0.012589 Loss_D_real: -0.017711 Loss_D_fake 0.013128
[274/5000][390/535][28004] Loss_D: -0.028791 Loss_G: 0.025645 Loss_D_real: -0.023507 Loss_D_fake 0.005284
[274/5000][395/535][28005] Loss_D: -0.030919 Loss_G: 0.039329 Loss_D_real: -0.035007 Loss_D_fake -0.004088
[274/5000][400/535][28006] Loss_D: -0.032511 Loss_G: 0.007880 Loss_D_real: -0.022621 Loss_D_fake 0.009890
[274/5000][405/535][28007] Loss_D: -0.031650 Loss_G: -0.006715 Loss_D_real: -0.002647 Loss_D_fake 0.029003
[274/5000][410/535][28008] Loss_D: -0.030420 Loss_G: 0.036768 Loss_D_real: -0.039194 Loss_D_fake -0.008774
[274/5000][415/535][28009] Loss_D: -0.031999 Loss_G: 0.012972 Loss_D_real: -0.021456 Loss_D_fake 0.010544
[274/5000][420/535][28010] Loss_D: -0.033418 Loss_G: 0.018165 Loss_D_real: -0.021944 Loss_D_fake 0.011474
[274/5000][425/535][28011] Loss_D: -0.032380 Loss_G: 0.026644 Loss_D_real: -0.026329 Loss_D_fake 0.006051
[274/5000][430/535][28012] Loss_D: -0.031787 Loss_G: 0.016837 Loss_D_real: -0.027261 Loss_D_fake 0.004526
[274/5000][435/535][28013] Loss_D: -0.034113 Loss_G: 0.025563 Loss_D_real: -0.022488 Loss_D_fake 0.011625
[274/5000][440/535][28014] Loss_D: -0.032919 Loss_G: 0.008682 Loss_D_real: -0.016308 Loss_D_fake 0.016611
[274/5000][445/535][28015] Loss_D: -0.033394 Loss_G: 0.029766 Loss_D_real: -0.026833 Loss_D_fake 0.006561
[274/5000][450/535][28016] Loss_D: -0.033175 Loss_G: 0.005714 Loss_D_real: -0.013840 Loss_D_fake 0.019335
[274/5000][455/535][28017] Loss_D: -0.031072 Loss_G: 0.035294 Loss_D_real: -0.042137 Loss_D_fake -0.011065
[274/5000][460/535][28018] Loss_D: -0.032390 Loss_G: 0.001237 Loss_D_real: -0.002746 Loss_D_fake 0.029644
[274/5000][465/535][28019] Loss_D: -0.031480 Loss_G: 0.007183 Loss_D_real: -0.011226 Loss_D_fake 0.020254
[274/5000][470/535][28020] Loss_D: -0.032995 Loss_G: 0.017231 Loss_D_real: -0.019910 Loss_D_fake 0.013085
[274/5000][475/535][28021] Loss_D: -0.032525 Loss_G: 0.012407 Loss_D_real: -0.017232 Loss_D_fake 0.015293
[274/5000][480/535][28022] Loss_D: -0.033672 Loss_G: 0.016116 Loss_D_real: -0.023934 Loss_D_fake 0.009738
[274/5000][485/535][28023] Loss_D: -0.032098 Loss_G: 0.030115 Loss_D_real: -0.035074 Loss_D_fake -0.002976
[274/5000][490/535][28024] Loss_D: -0.031356 Loss_G: -0.001802 Loss_D_real: -0.003528 Loss_D_fake 0.027828
[274/5000][495/535][28025] Loss_D: -0.031244 Loss_G: 0.025526 Loss_D_real: -0.034833 Loss_D_fake -0.003589
[274/5000][500/535][28026] Loss_D: -0.032714 Loss_G: 0.016108 Loss_D_real: -0.020500 Loss_D_fake 0.012214
[274/5000][505/535][28027] Loss_D: -0.033510 Loss_G: 0.007547 Loss_D_real: -0.015534 Loss_D_fake 0.017975
[274/5000][510/535][28028] Loss_D: -0.033200 Loss_G: 0.006326 Loss_D_real: -0.015465 Loss_D_fake 0.017735
[274/5000][515/535][28029] Loss_D: -0.033408 Loss_G: 0.021475 Loss_D_real: -0.019930 Loss_D_fake 0.013479
[274/5000][520/535][28030] Loss_D: -0.032044 Loss_G: 0.042896 Loss_D_real: -0.033366 Loss_D_fake -0.001322
[274/5000][525/535][28031] Loss_D: -0.033428 Loss_G: 0.025563 Loss_D_real: -0.017612 Loss_D_fake 0.015815
[274/5000][530/535][28032] Loss_D: -0.032214 Loss_G: -0.013977 Loss_D_real: 0.000844 Loss_D_fake 0.033058
[274/5000][535/535][28033] Loss_D: -0.031889 Loss_G: 0.019022 Loss_D_real: -0.030545 Loss_D_fake 0.001345
[275/5000][5/535][28034] Loss_D: -0.032829 Loss_G: 0.004535 Loss_D_real: -0.018361 Loss_D_fake 0.014469
[275/5000][10/535][28035] Loss_D: -0.033560 Loss_G: 0.012527 Loss_D_real: -0.022300 Loss_D_fake 0.011259
[275/5000][15/535][28036] Loss_D: -0.032674 Loss_G: 0.029438 Loss_D_real: -0.032839 Loss_D_fake -0.000165
[275/5000][20/535][28037] Loss_D: -0.033179 Loss_G: 0.016019 Loss_D_real: -0.018691 Loss_D_fake 0.014488
[275/5000][25/535][28038] Loss_D: -0.033487 Loss_G: 0.005106 Loss_D_real: -0.007892 Loss_D_fake 0.025595
[275/5000][30/535][28039] Loss_D: -0.032453 Loss_G: 0.022829 Loss_D_real: -0.022575 Loss_D_fake 0.009879
[275/5000][35/535][28040] Loss_D: -0.034029 Loss_G: 0.001164 Loss_D_real: -0.013612 Loss_D_fake 0.020418
[275/5000][40/535][28041] Loss_D: -0.033065 Loss_G: 0.033216 Loss_D_real: -0.034067 Loss_D_fake -0.001002
[275/5000][45/535][28042] Loss_D: -0.033837 Loss_G: 0.011563 Loss_D_real: -0.025692 Loss_D_fake 0.008146
[275/5000][50/535][28043] Loss_D: -0.033024 Loss_G: 0.036026 Loss_D_real: -0.041575 Loss_D_fake -0.008550
[275/5000][55/535][28044] Loss_D: -0.033610 Loss_G: -0.002836 Loss_D_real: -0.012801 Loss_D_fake 0.020809
[275/5000][60/535][28045] Loss_D: -0.031644 Loss_G: 0.000287 Loss_D_real: -0.005873 Loss_D_fake 0.025771
[275/5000][65/535][28046] Loss_D: -0.031223 Loss_G: 0.023892 Loss_D_real: -0.028383 Loss_D_fake 0.002840
[275/5000][70/535][28047] Loss_D: -0.033998 Loss_G: 0.004196 Loss_D_real: -0.014913 Loss_D_fake 0.019084
[275/5000][75/535][28048] Loss_D: -0.032250 Loss_G: 0.005811 Loss_D_real: -0.007977 Loss_D_fake 0.024274
[275/5000][80/535][28049] Loss_D: -0.032802 Loss_G: -0.012961 Loss_D_real: -0.007260 Loss_D_fake 0.025542
[275/5000][85/535][28050] Loss_D: -0.032148 Loss_G: 0.020276 Loss_D_real: -0.024850 Loss_D_fake 0.007298
[275/5000][90/535][28051] Loss_D: -0.032045 Loss_G: 0.018405 Loss_D_real: -0.025691 Loss_D_fake 0.006354
[275/5000][95/535][28052] Loss_D: -0.033190 Loss_G: 0.032257 Loss_D_real: -0.027574 Loss_D_fake 0.005616
[275/5000][100/535][28053] Loss_D: -0.032468 Loss_G: -0.007730 Loss_D_real: 0.000203 Loss_D_fake 0.032671
[275/5000][105/535][28054] Loss_D: -0.031606 Loss_G: 0.037320 Loss_D_real: -0.040131 Loss_D_fake -0.008525
[275/5000][110/535][28055] Loss_D: -0.031063 Loss_G: 0.015023 Loss_D_real: -0.015448 Loss_D_fake 0.015616
[275/5000][115/535][28056] Loss_D: -0.034619 Loss_G: 0.002269 Loss_D_real: -0.017831 Loss_D_fake 0.016788
[275/5000][120/535][28057] Loss_D: -0.032659 Loss_G: 0.022683 Loss_D_real: -0.027108 Loss_D_fake 0.005551
[275/5000][125/535][28058] Loss_D: -0.033440 Loss_G: 0.002694 Loss_D_real: -0.010616 Loss_D_fake 0.022823
[275/5000][130/535][28059] Loss_D: -0.033256 Loss_G: 0.015203 Loss_D_real: -0.026942 Loss_D_fake 0.006314
[275/5000][135/535][28060] Loss_D: -0.034482 Loss_G: 0.029617 Loss_D_real: -0.030657 Loss_D_fake 0.003825
[275/5000][140/535][28061] Loss_D: -0.033466 Loss_G: 0.025541 Loss_D_real: -0.025673 Loss_D_fake 0.007794
[275/5000][145/535][28062] Loss_D: -0.034115 Loss_G: 0.004097 Loss_D_real: -0.016740 Loss_D_fake 0.017374
[275/5000][150/535][28063] Loss_D: -0.032495 Loss_G: 0.005967 Loss_D_real: -0.009726 Loss_D_fake 0.022769
[275/5000][155/535][28064] Loss_D: -0.031882 Loss_G: 0.003382 Loss_D_real: -0.008449 Loss_D_fake 0.023433
[275/5000][160/535][28065] Loss_D: -0.031351 Loss_G: 0.038751 Loss_D_real: -0.032502 Loss_D_fake -0.001151
[275/5000][165/535][28066] Loss_D: -0.033224 Loss_G: 0.005045 Loss_D_real: -0.012662 Loss_D_fake 0.020561
[275/5000][170/535][28067] Loss_D: -0.032205 Loss_G: 0.041899 Loss_D_real: -0.037809 Loss_D_fake -0.005604
[275/5000][175/535][28068] Loss_D: -0.032192 Loss_G: 0.009070 Loss_D_real: -0.011960 Loss_D_fake 0.020232
[275/5000][180/535][28069] Loss_D: -0.031584 Loss_G: 0.016691 Loss_D_real: -0.029032 Loss_D_fake 0.002551
[275/5000][185/535][28070] Loss_D: -0.032916 Loss_G: -0.000021 Loss_D_real: -0.010467 Loss_D_fake 0.022449
[275/5000][190/535][28071] Loss_D: -0.033075 Loss_G: 0.033262 Loss_D_real: -0.029494 Loss_D_fake 0.003581
[275/5000][195/535][28072] Loss_D: -0.032433 Loss_G: 0.026783 Loss_D_real: -0.025726 Loss_D_fake 0.006708
[275/5000][200/535][28073] Loss_D: -0.032776 Loss_G: 0.023348 Loss_D_real: -0.022110 Loss_D_fake 0.010667
[275/5000][205/535][28074] Loss_D: -0.032276 Loss_G: 0.028664 Loss_D_real: -0.032364 Loss_D_fake -0.000089
[275/5000][210/535][28075] Loss_D: -0.032217 Loss_G: 0.039151 Loss_D_real: -0.042640 Loss_D_fake -0.010423
[275/5000][215/535][28076] Loss_D: -0.032186 Loss_G: 0.002522 Loss_D_real: -0.010550 Loss_D_fake 0.021636
[275/5000][220/535][28077] Loss_D: -0.032006 Loss_G: 0.004351 Loss_D_real: -0.006838 Loss_D_fake 0.025168
[275/5000][225/535][28078] Loss_D: -0.030783 Loss_G: 0.007023 Loss_D_real: -0.006514 Loss_D_fake 0.024269
[275/5000][230/535][28079] Loss_D: -0.031908 Loss_G: 0.021045 Loss_D_real: -0.019699 Loss_D_fake 0.012209
[275/5000][235/535][28080] Loss_D: -0.032434 Loss_G: 0.005177 Loss_D_real: -0.011714 Loss_D_fake 0.020721
[275/5000][240/535][28081] Loss_D: -0.032997 Loss_G: 0.032323 Loss_D_real: -0.028176 Loss_D_fake 0.004821
[275/5000][245/535][28082] Loss_D: -0.032990 Loss_G: 0.002203 Loss_D_real: 0.001596 Loss_D_fake 0.034586
[275/5000][250/535][28083] Loss_D: -0.032127 Loss_G: 0.005983 Loss_D_real: -0.008956 Loss_D_fake 0.023171
[275/5000][255/535][28084] Loss_D: -0.031465 Loss_G: 0.017009 Loss_D_real: -0.017622 Loss_D_fake 0.013843
[275/5000][260/535][28085] Loss_D: -0.031592 Loss_G: 0.037367 Loss_D_real: -0.036679 Loss_D_fake -0.005087
[275/5000][265/535][28086] Loss_D: -0.031227 Loss_G: 0.003266 Loss_D_real: -0.007277 Loss_D_fake 0.023950
[275/5000][270/535][28087] Loss_D: -0.032940 Loss_G: 0.017781 Loss_D_real: -0.026835 Loss_D_fake 0.006106
[275/5000][275/535][28088] Loss_D: -0.031700 Loss_G: 0.006954 Loss_D_real: -0.012483 Loss_D_fake 0.019217
[275/5000][280/535][28089] Loss_D: -0.032651 Loss_G: -0.003024 Loss_D_real: -0.012407 Loss_D_fake 0.020243
[275/5000][285/535][28090] Loss_D: -0.031621 Loss_G: 0.036415 Loss_D_real: -0.036664 Loss_D_fake -0.005043
[275/5000][290/535][28091] Loss_D: -0.031890 Loss_G: 0.025554 Loss_D_real: -0.019520 Loss_D_fake 0.012370
[275/5000][295/535][28092] Loss_D: -0.033356 Loss_G: 0.011149 Loss_D_real: -0.019163 Loss_D_fake 0.014193
[275/5000][300/535][28093] Loss_D: -0.031055 Loss_G: 0.040972 Loss_D_real: -0.032680 Loss_D_fake -0.001625
[275/5000][305/535][28094] Loss_D: -0.033000 Loss_G: -0.008017 Loss_D_real: -0.008447 Loss_D_fake 0.024553
[275/5000][310/535][28095] Loss_D: -0.029999 Loss_G: 0.033150 Loss_D_real: -0.024734 Loss_D_fake 0.005265
[275/5000][315/535][28096] Loss_D: -0.032267 Loss_G: -0.001028 Loss_D_real: -0.011358 Loss_D_fake 0.020909
[275/5000][320/535][28097] Loss_D: -0.032323 Loss_G: 0.010632 Loss_D_real: -0.013225 Loss_D_fake 0.019097
[275/5000][325/535][28098] Loss_D: -0.032414 Loss_G: 0.028064 Loss_D_real: -0.027757 Loss_D_fake 0.004657
[275/5000][330/535][28099] Loss_D: -0.031587 Loss_G: 0.005756 Loss_D_real: -0.010796 Loss_D_fake 0.020790
[275/5000][335/535][28100] Loss_D: -0.032018 Loss_G: 0.026556 Loss_D_real: -0.021527 Loss_D_fake 0.010490
[275/5000][340/535][28101] Loss_D: -0.032722 Loss_G: -0.001664 Loss_D_real: -0.011226 Loss_D_fake 0.021496
[275/5000][345/535][28102] Loss_D: -0.033417 Loss_G: 0.036803 Loss_D_real: -0.027367 Loss_D_fake 0.006050
[275/5000][350/535][28103] Loss_D: -0.033273 Loss_G: 0.019310 Loss_D_real: -0.025438 Loss_D_fake 0.007835
[275/5000][355/535][28104] Loss_D: -0.033048 Loss_G: 0.035141 Loss_D_real: -0.024567 Loss_D_fake 0.008481
[275/5000][360/535][28105] Loss_D: -0.034471 Loss_G: 0.019738 Loss_D_real: -0.023375 Loss_D_fake 0.011095
[275/5000][365/535][28106] Loss_D: -0.034232 Loss_G: 0.022711 Loss_D_real: -0.028304 Loss_D_fake 0.005928
[275/5000][370/535][28107] Loss_D: -0.032767 Loss_G: -0.009702 Loss_D_real: -0.008832 Loss_D_fake 0.023934
[275/5000][375/535][28108] Loss_D: -0.033648 Loss_G: 0.014441 Loss_D_real: -0.024376 Loss_D_fake 0.009272
[275/5000][380/535][28109] Loss_D: -0.031764 Loss_G: 0.011773 Loss_D_real: -0.023344 Loss_D_fake 0.008420
[275/5000][385/535][28110] Loss_D: -0.032504 Loss_G: 0.037394 Loss_D_real: -0.036868 Loss_D_fake -0.004364
[275/5000][390/535][28111] Loss_D: -0.032402 Loss_G: 0.002691 Loss_D_real: -0.014322 Loss_D_fake 0.018081
[275/5000][395/535][28112] Loss_D: -0.031900 Loss_G: 0.035908 Loss_D_real: -0.036320 Loss_D_fake -0.004419
[275/5000][400/535][28113] Loss_D: -0.033862 Loss_G: 0.002205 Loss_D_real: -0.011616 Loss_D_fake 0.022246
[275/5000][405/535][28114] Loss_D: -0.033385 Loss_G: 0.017682 Loss_D_real: -0.023917 Loss_D_fake 0.009469
[275/5000][410/535][28115] Loss_D: -0.032260 Loss_G: 0.008105 Loss_D_real: -0.007898 Loss_D_fake 0.024363
[275/5000][415/535][28116] Loss_D: -0.035005 Loss_G: 0.017645 Loss_D_real: -0.021019 Loss_D_fake 0.013986
[275/5000][420/535][28117] Loss_D: -0.031332 Loss_G: -0.024285 Loss_D_real: -0.000386 Loss_D_fake 0.030946
[275/5000][425/535][28118] Loss_D: -0.031025 Loss_G: 0.032091 Loss_D_real: -0.035123 Loss_D_fake -0.004098
[275/5000][430/535][28119] Loss_D: -0.031176 Loss_G: 0.000353 Loss_D_real: -0.003734 Loss_D_fake 0.027441
[275/5000][435/535][28120] Loss_D: -0.032840 Loss_G: 0.019340 Loss_D_real: -0.021588 Loss_D_fake 0.011252
[275/5000][440/535][28121] Loss_D: -0.033153 Loss_G: 0.026857 Loss_D_real: -0.024688 Loss_D_fake 0.008465
[275/5000][445/535][28122] Loss_D: -0.033868 Loss_G: 0.026193 Loss_D_real: -0.028004 Loss_D_fake 0.005864
[275/5000][450/535][28123] Loss_D: -0.034139 Loss_G: 0.025127 Loss_D_real: -0.030480 Loss_D_fake 0.003659
[275/5000][455/535][28124] Loss_D: -0.032114 Loss_G: 0.036607 Loss_D_real: -0.036129 Loss_D_fake -0.004015
[275/5000][460/535][28125] Loss_D: -0.033618 Loss_G: -0.002596 Loss_D_real: -0.001148 Loss_D_fake 0.032470
[275/5000][465/535][28126] Loss_D: -0.033384 Loss_G: 0.007975 Loss_D_real: -0.014710 Loss_D_fake 0.018674
[275/5000][470/535][28127] Loss_D: -0.033274 Loss_G: 0.024028 Loss_D_real: -0.025060 Loss_D_fake 0.008214
[275/5000][475/535][28128] Loss_D: -0.032844 Loss_G: 0.025147 Loss_D_real: -0.019834 Loss_D_fake 0.013010
[275/5000][480/535][28129] Loss_D: -0.033862 Loss_G: 0.024388 Loss_D_real: -0.020813 Loss_D_fake 0.013048
[275/5000][485/535][28130] Loss_D: -0.032086 Loss_G: 0.013375 Loss_D_real: -0.016608 Loss_D_fake 0.015478
[275/5000][490/535][28131] Loss_D: -0.033055 Loss_G: 0.019846 Loss_D_real: -0.014907 Loss_D_fake 0.018147
[275/5000][495/535][28132] Loss_D: -0.033287 Loss_G: 0.010236 Loss_D_real: -0.009514 Loss_D_fake 0.023773
[275/5000][500/535][28133] Loss_D: -0.033726 Loss_G: 0.019179 Loss_D_real: -0.018873 Loss_D_fake 0.014853
[275/5000][505/535][28134] Loss_D: -0.031507 Loss_G: 0.019108 Loss_D_real: -0.023884 Loss_D_fake 0.007623
[275/5000][510/535][28135] Loss_D: -0.033584 Loss_G: 0.010258 Loss_D_real: -0.017270 Loss_D_fake 0.016314
[275/5000][515/535][28136] Loss_D: -0.032394 Loss_G: 0.021689 Loss_D_real: -0.031891 Loss_D_fake 0.000503
[275/5000][520/535][28137] Loss_D: -0.032368 Loss_G: -0.000300 Loss_D_real: -0.009337 Loss_D_fake 0.023031
[275/5000][525/535][28138] Loss_D: -0.032695 Loss_G: 0.014527 Loss_D_real: -0.022215 Loss_D_fake 0.010480
[275/5000][530/535][28139] Loss_D: -0.031083 Loss_G: 0.032516 Loss_D_real: -0.027211 Loss_D_fake 0.003872
[275/5000][535/535][28140] Loss_D: -0.036703 Loss_G: 0.006592 Loss_D_real: -0.010194 Loss_D_fake 0.026508
[276/5000][5/535][28141] Loss_D: -0.031495 Loss_G: 0.032102 Loss_D_real: -0.037744 Loss_D_fake -0.006248
[276/5000][10/535][28142] Loss_D: -0.033301 Loss_G: 0.017712 Loss_D_real: -0.017960 Loss_D_fake 0.015341
[276/5000][15/535][28143] Loss_D: -0.034109 Loss_G: 0.015596 Loss_D_real: -0.016259 Loss_D_fake 0.017850
[276/5000][20/535][28144] Loss_D: -0.033603 Loss_G: -0.000353 Loss_D_real: -0.010858 Loss_D_fake 0.022745
[276/5000][25/535][28145] Loss_D: -0.030902 Loss_G: 0.032862 Loss_D_real: -0.036936 Loss_D_fake -0.006035
[276/5000][30/535][28146] Loss_D: -0.033078 Loss_G: 0.023371 Loss_D_real: -0.026612 Loss_D_fake 0.006466
[276/5000][35/535][28147] Loss_D: -0.033796 Loss_G: 0.006059 Loss_D_real: -0.019039 Loss_D_fake 0.014758
[276/5000][40/535][28148] Loss_D: -0.033731 Loss_G: 0.032368 Loss_D_real: -0.032522 Loss_D_fake 0.001209
[276/5000][45/535][28149] Loss_D: -0.031430 Loss_G: 0.007506 Loss_D_real: -0.003689 Loss_D_fake 0.027741
[276/5000][50/535][28150] Loss_D: -0.034348 Loss_G: 0.012711 Loss_D_real: -0.020945 Loss_D_fake 0.013403
[276/5000][55/535][28151] Loss_D: -0.033597 Loss_G: 0.017839 Loss_D_real: -0.017733 Loss_D_fake 0.015863
[276/5000][60/535][28152] Loss_D: -0.031565 Loss_G: 0.000382 Loss_D_real: -0.014506 Loss_D_fake 0.017059
[276/5000][65/535][28153] Loss_D: -0.030458 Loss_G: 0.040088 Loss_D_real: -0.038630 Loss_D_fake -0.008172
[276/5000][70/535][28154] Loss_D: -0.032182 Loss_G: 0.020443 Loss_D_real: -0.025798 Loss_D_fake 0.006384
[276/5000][75/535][28155] Loss_D: -0.032442 Loss_G: 0.027147 Loss_D_real: -0.025609 Loss_D_fake 0.006833
[276/5000][80/535][28156] Loss_D: -0.032400 Loss_G: 0.030860 Loss_D_real: -0.034832 Loss_D_fake -0.002432
[276/5000][85/535][28157] Loss_D: -0.030222 Loss_G: -0.010785 Loss_D_real: -0.000276 Loss_D_fake 0.029946
[276/5000][90/535][28158] Loss_D: -0.030503 Loss_G: 0.035672 Loss_D_real: -0.039107 Loss_D_fake -0.008604
[276/5000][95/535][28159] Loss_D: -0.031248 Loss_G: 0.021188 Loss_D_real: -0.021770 Loss_D_fake 0.009478
[276/5000][100/535][28160] Loss_D: -0.032114 Loss_G: -0.003269 Loss_D_real: -0.000709 Loss_D_fake 0.031404
[276/5000][105/535][28161] Loss_D: -0.031716 Loss_G: -0.000590 Loss_D_real: -0.014093 Loss_D_fake 0.017623
[276/5000][110/535][28162] Loss_D: -0.032196 Loss_G: 0.012839 Loss_D_real: -0.014684 Loss_D_fake 0.017511
[276/5000][115/535][28163] Loss_D: -0.032245 Loss_G: 0.028764 Loss_D_real: -0.028771 Loss_D_fake 0.003474
[276/5000][120/535][28164] Loss_D: -0.031431 Loss_G: 0.024888 Loss_D_real: -0.017868 Loss_D_fake 0.013563
[276/5000][125/535][28165] Loss_D: -0.034720 Loss_G: 0.005050 Loss_D_real: -0.012594 Loss_D_fake 0.022126
[276/5000][130/535][28166] Loss_D: -0.032911 Loss_G: 0.012486 Loss_D_real: -0.008816 Loss_D_fake 0.024095
[276/5000][135/535][28167] Loss_D: -0.032150 Loss_G: -0.009946 Loss_D_real: -0.003625 Loss_D_fake 0.028524
[276/5000][140/535][28168] Loss_D: -0.032366 Loss_G: 0.012252 Loss_D_real: -0.016310 Loss_D_fake 0.016056
[276/5000][145/535][28169] Loss_D: -0.032633 Loss_G: 0.031786 Loss_D_real: -0.027188 Loss_D_fake 0.005445
[276/5000][150/535][28170] Loss_D: -0.033205 Loss_G: 0.026414 Loss_D_real: -0.024736 Loss_D_fake 0.008469
[276/5000][155/535][28171] Loss_D: -0.033269 Loss_G: 0.007788 Loss_D_real: -0.014099 Loss_D_fake 0.019170
[276/5000][160/535][28172] Loss_D: -0.032223 Loss_G: 0.014267 Loss_D_real: -0.022417 Loss_D_fake 0.009806
[276/5000][165/535][28173] Loss_D: -0.032869 Loss_G: 0.041243 Loss_D_real: -0.035304 Loss_D_fake -0.002435
[276/5000][170/535][28174] Loss_D: -0.032181 Loss_G: 0.016714 Loss_D_real: -0.018305 Loss_D_fake 0.013876
[276/5000][175/535][28175] Loss_D: -0.033568 Loss_G: 0.003714 Loss_D_real: -0.019548 Loss_D_fake 0.014020
[276/5000][180/535][28176] Loss_D: -0.032825 Loss_G: 0.020587 Loss_D_real: -0.013776 Loss_D_fake 0.019048
[276/5000][185/535][28177] Loss_D: -0.032932 Loss_G: 0.020971 Loss_D_real: -0.027918 Loss_D_fake 0.005014
[276/5000][190/535][28178] Loss_D: -0.032683 Loss_G: 0.020941 Loss_D_real: -0.024843 Loss_D_fake 0.007840
[276/5000][195/535][28179] Loss_D: -0.033651 Loss_G: 0.029065 Loss_D_real: -0.032152 Loss_D_fake 0.001499
[276/5000][200/535][28180] Loss_D: -0.033063 Loss_G: 0.012261 Loss_D_real: -0.015009 Loss_D_fake 0.018054
[276/5000][205/535][28181] Loss_D: -0.031927 Loss_G: 0.011609 Loss_D_real: -0.020039 Loss_D_fake 0.011888
[276/5000][210/535][28182] Loss_D: -0.032801 Loss_G: -0.004626 Loss_D_real: -0.003125 Loss_D_fake 0.029677
[276/5000][215/535][28183] Loss_D: -0.032530 Loss_G: 0.004747 Loss_D_real: -0.010890 Loss_D_fake 0.021640
[276/5000][220/535][28184] Loss_D: -0.034228 Loss_G: 0.010904 Loss_D_real: -0.019172 Loss_D_fake 0.015056
[276/5000][225/535][28185] Loss_D: -0.031097 Loss_G: -0.009716 Loss_D_real: 0.000354 Loss_D_fake 0.031450
[276/5000][230/535][28186] Loss_D: -0.030553 Loss_G: 0.038019 Loss_D_real: -0.039271 Loss_D_fake -0.008717
[276/5000][235/535][28187] Loss_D: -0.031236 Loss_G: -0.006299 Loss_D_real: -0.001495 Loss_D_fake 0.029741
[276/5000][240/535][28188] Loss_D: -0.031615 Loss_G: 0.013435 Loss_D_real: -0.015462 Loss_D_fake 0.016153
[276/5000][245/535][28189] Loss_D: -0.031363 Loss_G: -0.002608 Loss_D_real: -0.004663 Loss_D_fake 0.026701
[276/5000][250/535][28190] Loss_D: -0.032699 Loss_G: -0.003115 Loss_D_real: -0.011136 Loss_D_fake 0.021564
[276/5000][255/535][28191] Loss_D: -0.032349 Loss_G: 0.035569 Loss_D_real: -0.033500 Loss_D_fake -0.001151
[276/5000][260/535][28192] Loss_D: -0.033575 Loss_G: 0.038209 Loss_D_real: -0.030764 Loss_D_fake 0.002811
[276/5000][265/535][28193] Loss_D: -0.032421 Loss_G: 0.009141 Loss_D_real: -0.012378 Loss_D_fake 0.020044
[276/5000][270/535][28194] Loss_D: -0.034175 Loss_G: 0.025403 Loss_D_real: -0.024512 Loss_D_fake 0.009664
[276/5000][275/535][28195] Loss_D: -0.033742 Loss_G: 0.011865 Loss_D_real: -0.018783 Loss_D_fake 0.014958
[276/5000][280/535][28196] Loss_D: -0.032761 Loss_G: 0.001615 Loss_D_real: -0.011050 Loss_D_fake 0.021710
[276/5000][285/535][28197] Loss_D: -0.029808 Loss_G: 0.039199 Loss_D_real: -0.039395 Loss_D_fake -0.009587
[276/5000][290/535][28198] Loss_D: -0.029628 Loss_G: 0.013093 Loss_D_real: -0.012767 Loss_D_fake 0.016861
[276/5000][295/535][28199] Loss_D: -0.031732 Loss_G: 0.024486 Loss_D_real: -0.030519 Loss_D_fake 0.001213
[276/5000][300/535][28200] Loss_D: -0.033508 Loss_G: 0.014294 Loss_D_real: -0.014558 Loss_D_fake 0.018949
[276/5000][305/535][28201] Loss_D: -0.034127 Loss_G: 0.021999 Loss_D_real: -0.027831 Loss_D_fake 0.006296
[276/5000][310/535][28202] Loss_D: -0.033731 Loss_G: 0.032059 Loss_D_real: -0.029470 Loss_D_fake 0.004261
[276/5000][315/535][28203] Loss_D: -0.033661 Loss_G: 0.024423 Loss_D_real: -0.021459 Loss_D_fake 0.012202
[276/5000][320/535][28204] Loss_D: -0.032416 Loss_G: 0.033591 Loss_D_real: -0.031453 Loss_D_fake 0.000963
[276/5000][325/535][28205] Loss_D: -0.033144 Loss_G: -0.007775 Loss_D_real: -0.005723 Loss_D_fake 0.027421
[276/5000][330/535][28206] Loss_D: -0.032426 Loss_G: 0.028506 Loss_D_real: -0.034518 Loss_D_fake -0.002091
[276/5000][335/535][28207] Loss_D: -0.032379 Loss_G: 0.000380 Loss_D_real: -0.008862 Loss_D_fake 0.023516
[276/5000][340/535][28208] Loss_D: -0.032522 Loss_G: 0.022152 Loss_D_real: -0.026394 Loss_D_fake 0.006128
[276/5000][345/535][28209] Loss_D: -0.032666 Loss_G: -0.004455 Loss_D_real: 0.001729 Loss_D_fake 0.034395
[276/5000][350/535][28210] Loss_D: -0.033061 Loss_G: 0.025948 Loss_D_real: -0.034175 Loss_D_fake -0.001113
[276/5000][355/535][28211] Loss_D: -0.034921 Loss_G: 0.006388 Loss_D_real: -0.013084 Loss_D_fake 0.021836
[276/5000][360/535][28212] Loss_D: -0.033004 Loss_G: 0.011302 Loss_D_real: -0.014613 Loss_D_fake 0.018391
[276/5000][365/535][28213] Loss_D: -0.035014 Loss_G: 0.009359 Loss_D_real: -0.013881 Loss_D_fake 0.021132
[276/5000][370/535][28214] Loss_D: -0.034005 Loss_G: 0.033159 Loss_D_real: -0.033276 Loss_D_fake 0.000728
[276/5000][375/535][28215] Loss_D: -0.032385 Loss_G: 0.002215 Loss_D_real: -0.003715 Loss_D_fake 0.028671
[276/5000][380/535][28216] Loss_D: -0.032365 Loss_G: -0.004346 Loss_D_real: -0.006031 Loss_D_fake 0.026334
[276/5000][385/535][28217] Loss_D: -0.033242 Loss_G: 0.032478 Loss_D_real: -0.029603 Loss_D_fake 0.003639
[276/5000][390/535][28218] Loss_D: -0.033697 Loss_G: 0.010695 Loss_D_real: -0.013538 Loss_D_fake 0.020159
[276/5000][395/535][28219] Loss_D: -0.032964 Loss_G: 0.028090 Loss_D_real: -0.032596 Loss_D_fake 0.000369
[276/5000][400/535][28220] Loss_D: -0.033068 Loss_G: 0.029993 Loss_D_real: -0.019484 Loss_D_fake 0.013584
[276/5000][405/535][28221] Loss_D: -0.031980 Loss_G: 0.029058 Loss_D_real: -0.028499 Loss_D_fake 0.003480
[276/5000][410/535][28222] Loss_D: -0.034001 Loss_G: 0.018234 Loss_D_real: -0.016998 Loss_D_fake 0.017002
[276/5000][415/535][28223] Loss_D: -0.033861 Loss_G: 0.023267 Loss_D_real: -0.016211 Loss_D_fake 0.017650
[276/5000][420/535][28224] Loss_D: -0.033304 Loss_G: 0.010562 Loss_D_real: -0.009034 Loss_D_fake 0.024270
[276/5000][425/535][28225] Loss_D: -0.032204 Loss_G: 0.034138 Loss_D_real: -0.024576 Loss_D_fake 0.007628
[276/5000][430/535][28226] Loss_D: -0.033612 Loss_G: 0.032732 Loss_D_real: -0.031101 Loss_D_fake 0.002511
[276/5000][435/535][28227] Loss_D: -0.033165 Loss_G: 0.022816 Loss_D_real: -0.021367 Loss_D_fake 0.011798
[276/5000][440/535][28228] Loss_D: -0.032353 Loss_G: 0.009675 Loss_D_real: -0.011225 Loss_D_fake 0.021128
[276/5000][445/535][28229] Loss_D: -0.033478 Loss_G: 0.005370 Loss_D_real: -0.023422 Loss_D_fake 0.010056
[276/5000][450/535][28230] Loss_D: -0.032900 Loss_G: 0.033183 Loss_D_real: -0.042132 Loss_D_fake -0.009232
[276/5000][455/535][28231] Loss_D: -0.033552 Loss_G: -0.007451 Loss_D_real: -0.003228 Loss_D_fake 0.030324
[276/5000][460/535][28232] Loss_D: -0.031841 Loss_G: 0.006095 Loss_D_real: -0.013394 Loss_D_fake 0.018447
[276/5000][465/535][28233] Loss_D: -0.032155 Loss_G: 0.026843 Loss_D_real: -0.020693 Loss_D_fake 0.011462
[276/5000][470/535][28234] Loss_D: -0.033903 Loss_G: 0.000698 Loss_D_real: -0.000683 Loss_D_fake 0.033220
[276/5000][475/535][28235] Loss_D: -0.030314 Loss_G: 0.045737 Loss_D_real: -0.042920 Loss_D_fake -0.012605
[276/5000][480/535][28236] Loss_D: -0.031413 Loss_G: 0.023718 Loss_D_real: -0.024402 Loss_D_fake 0.007011
[276/5000][485/535][28237] Loss_D: -0.032640 Loss_G: 0.013854 Loss_D_real: -0.023740 Loss_D_fake 0.008900
[276/5000][490/535][28238] Loss_D: -0.033634 Loss_G: 0.003189 Loss_D_real: -0.014362 Loss_D_fake 0.019272
[276/5000][495/535][28239] Loss_D: -0.032318 Loss_G: 0.045981 Loss_D_real: -0.036237 Loss_D_fake -0.003919
[276/5000][500/535][28240] Loss_D: -0.032024 Loss_G: 0.015238 Loss_D_real: -0.011038 Loss_D_fake 0.020986
[276/5000][505/535][28241] Loss_D: -0.032782 Loss_G: 0.030023 Loss_D_real: -0.027125 Loss_D_fake 0.005657
[276/5000][510/535][28242] Loss_D: -0.034005 Loss_G: 0.022071 Loss_D_real: -0.028296 Loss_D_fake 0.005709
[276/5000][515/535][28243] Loss_D: -0.033447 Loss_G: 0.006159 Loss_D_real: -0.008752 Loss_D_fake 0.024695
[276/5000][520/535][28244] Loss_D: -0.034071 Loss_G: 0.013629 Loss_D_real: -0.016112 Loss_D_fake 0.017959
[276/5000][525/535][28245] Loss_D: -0.031461 Loss_G: 0.029821 Loss_D_real: -0.037418 Loss_D_fake -0.005956
[276/5000][530/535][28246] Loss_D: -0.032064 Loss_G: 0.017670 Loss_D_real: -0.018738 Loss_D_fake 0.013326
[276/5000][535/535][28247] Loss_D: -0.029776 Loss_G: 0.019533 Loss_D_real: -0.035986 Loss_D_fake -0.006210
[277/5000][5/535][28248] Loss_D: -0.034091 Loss_G: 0.031881 Loss_D_real: -0.029035 Loss_D_fake 0.005056
[277/5000][10/535][28249] Loss_D: -0.031657 Loss_G: 0.008724 Loss_D_real: -0.013495 Loss_D_fake 0.018163
[277/5000][15/535][28250] Loss_D: -0.032445 Loss_G: 0.032484 Loss_D_real: -0.026523 Loss_D_fake 0.005922
[277/5000][20/535][28251] Loss_D: -0.029673 Loss_G: 0.039081 Loss_D_real: -0.033322 Loss_D_fake -0.003649
[277/5000][25/535][28252] Loss_D: -0.031176 Loss_G: 0.030001 Loss_D_real: -0.017629 Loss_D_fake 0.013547
[277/5000][30/535][28253] Loss_D: -0.032312 Loss_G: 0.009661 Loss_D_real: -0.021838 Loss_D_fake 0.010474
[277/5000][35/535][28254] Loss_D: -0.032679 Loss_G: 0.041611 Loss_D_real: -0.036139 Loss_D_fake -0.003460
[277/5000][40/535][28255] Loss_D: -0.032986 Loss_G: 0.015597 Loss_D_real: -0.023480 Loss_D_fake 0.009507
[277/5000][45/535][28256] Loss_D: -0.033905 Loss_G: 0.016560 Loss_D_real: -0.017235 Loss_D_fake 0.016671
[277/5000][50/535][28257] Loss_D: -0.032877 Loss_G: 0.017339 Loss_D_real: -0.020201 Loss_D_fake 0.012676
[277/5000][55/535][28258] Loss_D: -0.033648 Loss_G: 0.021163 Loss_D_real: -0.021309 Loss_D_fake 0.012339
[277/5000][60/535][28259] Loss_D: -0.033552 Loss_G: 0.028865 Loss_D_real: -0.030525 Loss_D_fake 0.003028
[277/5000][65/535][28260] Loss_D: -0.032778 Loss_G: 0.008652 Loss_D_real: -0.005670 Loss_D_fake 0.027108
[277/5000][70/535][28261] Loss_D: -0.032699 Loss_G: 0.029564 Loss_D_real: -0.026948 Loss_D_fake 0.005751
[277/5000][75/535][28262] Loss_D: -0.031691 Loss_G: -0.007955 Loss_D_real: 0.000786 Loss_D_fake 0.032477
[277/5000][80/535][28263] Loss_D: -0.031901 Loss_G: 0.028826 Loss_D_real: -0.024477 Loss_D_fake 0.007425
[277/5000][85/535][28264] Loss_D: -0.030828 Loss_G: 0.008065 Loss_D_real: -0.018820 Loss_D_fake 0.012008
[277/5000][90/535][28265] Loss_D: -0.031244 Loss_G: 0.028512 Loss_D_real: -0.024438 Loss_D_fake 0.006806
[277/5000][95/535][28266] Loss_D: -0.030047 Loss_G: 0.019843 Loss_D_real: -0.023310 Loss_D_fake 0.006738
[277/5000][100/535][28267] Loss_D: -0.032410 Loss_G: 0.027050 Loss_D_real: -0.026123 Loss_D_fake 0.006288
[277/5000][105/535][28268] Loss_D: -0.034049 Loss_G: 0.011110 Loss_D_real: -0.013860 Loss_D_fake 0.020189
[277/5000][110/535][28269] Loss_D: -0.032345 Loss_G: -0.013349 Loss_D_real: 0.000590 Loss_D_fake 0.032935
[277/5000][115/535][28270] Loss_D: -0.031672 Loss_G: 0.018386 Loss_D_real: -0.019913 Loss_D_fake 0.011759
[277/5000][120/535][28271] Loss_D: -0.031929 Loss_G: 0.027621 Loss_D_real: -0.022725 Loss_D_fake 0.009204
[277/5000][125/535][28272] Loss_D: -0.032987 Loss_G: -0.002127 Loss_D_real: -0.005896 Loss_D_fake 0.027091
[277/5000][130/535][28273] Loss_D: -0.033160 Loss_G: 0.031353 Loss_D_real: -0.029745 Loss_D_fake 0.003415
[277/5000][135/535][28274] Loss_D: -0.032760 Loss_G: 0.021984 Loss_D_real: -0.019318 Loss_D_fake 0.013442
[277/5000][140/535][28275] Loss_D: -0.033734 Loss_G: 0.031870 Loss_D_real: -0.032536 Loss_D_fake 0.001198
[277/5000][145/535][28276] Loss_D: -0.032989 Loss_G: 0.018338 Loss_D_real: -0.024274 Loss_D_fake 0.008715
[277/5000][150/535][28277] Loss_D: -0.030840 Loss_G: 0.004171 Loss_D_real: -0.011945 Loss_D_fake 0.018894
[277/5000][155/535][28278] Loss_D: -0.031892 Loss_G: 0.018350 Loss_D_real: -0.023121 Loss_D_fake 0.008771
[277/5000][160/535][28279] Loss_D: -0.030711 Loss_G: 0.045331 Loss_D_real: -0.031545 Loss_D_fake -0.000834
[277/5000][165/535][28280] Loss_D: -0.033272 Loss_G: 0.014197 Loss_D_real: -0.017935 Loss_D_fake 0.015337
[277/5000][170/535][28281] Loss_D: -0.032347 Loss_G: 0.029743 Loss_D_real: -0.027073 Loss_D_fake 0.005274
[277/5000][175/535][28282] Loss_D: -0.029366 Loss_G: 0.018928 Loss_D_real: -0.020720 Loss_D_fake 0.008646
[277/5000][180/535][28283] Loss_D: -0.031985 Loss_G: 0.006140 Loss_D_real: -0.011907 Loss_D_fake 0.020078
[277/5000][185/535][28284] Loss_D: -0.032311 Loss_G: 0.028974 Loss_D_real: -0.023425 Loss_D_fake 0.008886
[277/5000][190/535][28285] Loss_D: -0.031425 Loss_G: 0.014588 Loss_D_real: -0.024380 Loss_D_fake 0.007045
[277/5000][195/535][28286] Loss_D: -0.032342 Loss_G: 0.024825 Loss_D_real: -0.025579 Loss_D_fake 0.006764
[277/5000][200/535][28287] Loss_D: -0.031038 Loss_G: 0.022934 Loss_D_real: -0.025040 Loss_D_fake 0.005997
[277/5000][205/535][28288] Loss_D: -0.032091 Loss_G: 0.016853 Loss_D_real: -0.025207 Loss_D_fake 0.006884
[277/5000][210/535][28289] Loss_D: -0.028663 Loss_G: 0.051927 Loss_D_real: -0.049881 Loss_D_fake -0.021217
[277/5000][215/535][28290] Loss_D: -0.031381 Loss_G: 0.006969 Loss_D_real: -0.022342 Loss_D_fake 0.009039
[277/5000][220/535][28291] Loss_D: -0.032801 Loss_G: 0.023917 Loss_D_real: -0.028015 Loss_D_fake 0.004786
[277/5000][225/535][28292] Loss_D: -0.032122 Loss_G: -0.015099 Loss_D_real: -0.005059 Loss_D_fake 0.027062
[277/5000][230/535][28293] Loss_D: -0.028333 Loss_G: 0.040556 Loss_D_real: -0.034183 Loss_D_fake -0.005849
[277/5000][235/535][28294] Loss_D: -0.031656 Loss_G: 0.006589 Loss_D_real: -0.009593 Loss_D_fake 0.022062
[277/5000][240/535][28295] Loss_D: -0.032218 Loss_G: 0.027140 Loss_D_real: -0.024247 Loss_D_fake 0.007971
[277/5000][245/535][28296] Loss_D: -0.033077 Loss_G: 0.025052 Loss_D_real: -0.016978 Loss_D_fake 0.016099
[277/5000][250/535][28297] Loss_D: -0.033057 Loss_G: 0.022690 Loss_D_real: -0.025792 Loss_D_fake 0.007265
[277/5000][255/535][28298] Loss_D: -0.033869 Loss_G: 0.039170 Loss_D_real: -0.032622 Loss_D_fake 0.001247
[277/5000][260/535][28299] Loss_D: -0.034361 Loss_G: 0.008124 Loss_D_real: -0.017836 Loss_D_fake 0.016525
[277/5000][265/535][28300] Loss_D: -0.032915 Loss_G: 0.024864 Loss_D_real: -0.027243 Loss_D_fake 0.005671
[277/5000][270/535][28301] Loss_D: -0.033032 Loss_G: 0.020217 Loss_D_real: -0.028064 Loss_D_fake 0.004967
[277/5000][275/535][28302] Loss_D: -0.033467 Loss_G: 0.041496 Loss_D_real: -0.037772 Loss_D_fake -0.004304
[277/5000][280/535][28303] Loss_D: -0.033310 Loss_G: 0.014018 Loss_D_real: -0.019617 Loss_D_fake 0.013693
[277/5000][285/535][28304] Loss_D: -0.034179 Loss_G: -0.002149 Loss_D_real: -0.014930 Loss_D_fake 0.019249
[277/5000][290/535][28305] Loss_D: -0.033427 Loss_G: 0.022847 Loss_D_real: -0.036707 Loss_D_fake -0.003280
[277/5000][295/535][28306] Loss_D: -0.033965 Loss_G: 0.021291 Loss_D_real: -0.016564 Loss_D_fake 0.017401
[277/5000][300/535][28307] Loss_D: -0.034045 Loss_G: 0.002801 Loss_D_real: -0.021104 Loss_D_fake 0.012942
[277/5000][305/535][28308] Loss_D: -0.033748 Loss_G: 0.023315 Loss_D_real: -0.026501 Loss_D_fake 0.007247
[277/5000][310/535][28309] Loss_D: -0.033302 Loss_G: 0.007465 Loss_D_real: -0.010892 Loss_D_fake 0.022410
[277/5000][315/535][28310] Loss_D: -0.031215 Loss_G: 0.034084 Loss_D_real: -0.035166 Loss_D_fake -0.003950
[277/5000][320/535][28311] Loss_D: -0.033285 Loss_G: 0.016406 Loss_D_real: -0.023128 Loss_D_fake 0.010157
[277/5000][325/535][28312] Loss_D: -0.032635 Loss_G: 0.033563 Loss_D_real: -0.027684 Loss_D_fake 0.004952
[277/5000][330/535][28313] Loss_D: -0.031702 Loss_G: 0.000429 Loss_D_real: -0.002444 Loss_D_fake 0.029257
[277/5000][335/535][28314] Loss_D: -0.031901 Loss_G: 0.030831 Loss_D_real: -0.029861 Loss_D_fake 0.002040
[277/5000][340/535][28315] Loss_D: -0.032398 Loss_G: 0.008987 Loss_D_real: -0.017087 Loss_D_fake 0.015312
[277/5000][345/535][28316] Loss_D: -0.031310 Loss_G: 0.034620 Loss_D_real: -0.030172 Loss_D_fake 0.001138
[277/5000][350/535][28317] Loss_D: -0.033364 Loss_G: -0.008687 Loss_D_real: -0.006128 Loss_D_fake 0.027236
[277/5000][355/535][28318] Loss_D: -0.031864 Loss_G: 0.035463 Loss_D_real: -0.028405 Loss_D_fake 0.003459
[277/5000][360/535][28319] Loss_D: -0.032222 Loss_G: 0.005712 Loss_D_real: -0.010577 Loss_D_fake 0.021645
[277/5000][365/535][28320] Loss_D: -0.034583 Loss_G: 0.036232 Loss_D_real: -0.022145 Loss_D_fake 0.012438
[277/5000][370/535][28321] Loss_D: -0.031632 Loss_G: -0.016355 Loss_D_real: 0.004127 Loss_D_fake 0.035759
[277/5000][375/535][28322] Loss_D: -0.033114 Loss_G: 0.027169 Loss_D_real: -0.029670 Loss_D_fake 0.003444
[277/5000][380/535][28323] Loss_D: -0.032228 Loss_G: -0.011646 Loss_D_real: -0.003967 Loss_D_fake 0.028261
[277/5000][385/535][28324] Loss_D: -0.033025 Loss_G: 0.017430 Loss_D_real: -0.023116 Loss_D_fake 0.009909
[277/5000][390/535][28325] Loss_D: -0.034569 Loss_G: 0.019079 Loss_D_real: -0.018351 Loss_D_fake 0.016219
[277/5000][395/535][28326] Loss_D: -0.033928 Loss_G: 0.022294 Loss_D_real: -0.025225 Loss_D_fake 0.008703
[277/5000][400/535][28327] Loss_D: -0.033787 Loss_G: 0.017514 Loss_D_real: -0.017604 Loss_D_fake 0.016183
[277/5000][405/535][28328] Loss_D: -0.032841 Loss_G: 0.034257 Loss_D_real: -0.035300 Loss_D_fake -0.002459
[277/5000][410/535][28329] Loss_D: -0.033091 Loss_G: -0.004555 Loss_D_real: -0.012132 Loss_D_fake 0.020959
[277/5000][415/535][28330] Loss_D: -0.032391 Loss_G: 0.032995 Loss_D_real: -0.029938 Loss_D_fake 0.002453
[277/5000][420/535][28331] Loss_D: -0.032401 Loss_G: 0.023159 Loss_D_real: -0.020834 Loss_D_fake 0.011567
[277/5000][425/535][28332] Loss_D: -0.033058 Loss_G: 0.013480 Loss_D_real: -0.016398 Loss_D_fake 0.016660
[277/5000][430/535][28333] Loss_D: -0.033332 Loss_G: 0.020950 Loss_D_real: -0.027548 Loss_D_fake 0.005784
[277/5000][435/535][28334] Loss_D: -0.032877 Loss_G: 0.013221 Loss_D_real: -0.026615 Loss_D_fake 0.006261
[277/5000][440/535][28335] Loss_D: -0.031777 Loss_G: 0.025416 Loss_D_real: -0.030788 Loss_D_fake 0.000988
[277/5000][445/535][28336] Loss_D: -0.034302 Loss_G: 0.001547 Loss_D_real: -0.016100 Loss_D_fake 0.018203
[277/5000][450/535][28337] Loss_D: -0.032369 Loss_G: 0.018710 Loss_D_real: -0.026803 Loss_D_fake 0.005567
[277/5000][455/535][28338] Loss_D: -0.034565 Loss_G: 0.004741 Loss_D_real: -0.019135 Loss_D_fake 0.015430
[277/5000][460/535][28339] Loss_D: -0.033835 Loss_G: 0.029026 Loss_D_real: -0.029122 Loss_D_fake 0.004713
[277/5000][465/535][28340] Loss_D: -0.033163 Loss_G: 0.017271 Loss_D_real: -0.018210 Loss_D_fake 0.014953
[277/5000][470/535][28341] Loss_D: -0.031945 Loss_G: 0.034508 Loss_D_real: -0.037354 Loss_D_fake -0.005409
[277/5000][475/535][28342] Loss_D: -0.031176 Loss_G: -0.005176 Loss_D_real: 0.003295 Loss_D_fake 0.034472
[277/5000][480/535][28343] Loss_D: -0.033320 Loss_G: 0.021249 Loss_D_real: -0.019908 Loss_D_fake 0.013412
[277/5000][485/535][28344] Loss_D: -0.030892 Loss_G: 0.039999 Loss_D_real: -0.041928 Loss_D_fake -0.011036
[277/5000][490/535][28345] Loss_D: -0.032080 Loss_G: 0.028785 Loss_D_real: -0.033757 Loss_D_fake -0.001677
[277/5000][495/535][28346] Loss_D: -0.032629 Loss_G: 0.040342 Loss_D_real: -0.037656 Loss_D_fake -0.005027
[277/5000][500/535][28347] Loss_D: -0.031994 Loss_G: 0.011023 Loss_D_real: -0.016786 Loss_D_fake 0.015207
[277/5000][505/535][28348] Loss_D: -0.030963 Loss_G: 0.028681 Loss_D_real: -0.035174 Loss_D_fake -0.004211
[277/5000][510/535][28349] Loss_D: -0.031763 Loss_G: 0.004874 Loss_D_real: -0.007388 Loss_D_fake 0.024375
[277/5000][515/535][28350] Loss_D: -0.031492 Loss_G: 0.024740 Loss_D_real: -0.036307 Loss_D_fake -0.004814
[277/5000][520/535][28351] Loss_D: -0.032613 Loss_G: 0.017791 Loss_D_real: -0.022218 Loss_D_fake 0.010395
[277/5000][525/535][28352] Loss_D: -0.031952 Loss_G: 0.032778 Loss_D_real: -0.031973 Loss_D_fake -0.000020
[277/5000][530/535][28353] Loss_D: -0.031462 Loss_G: 0.003189 Loss_D_real: -0.008571 Loss_D_fake 0.022891
[277/5000][535/535][28354] Loss_D: -0.032862 Loss_G: -0.010407 Loss_D_real: -0.018447 Loss_D_fake 0.014415
[278/5000][5/535][28355] Loss_D: -0.031711 Loss_G: 0.015955 Loss_D_real: -0.022092 Loss_D_fake 0.009619
[278/5000][10/535][28356] Loss_D: -0.033039 Loss_G: 0.035110 Loss_D_real: -0.029563 Loss_D_fake 0.003476
[278/5000][15/535][28357] Loss_D: -0.032557 Loss_G: 0.007377 Loss_D_real: -0.011736 Loss_D_fake 0.020821
[278/5000][20/535][28358] Loss_D: -0.031983 Loss_G: 0.021964 Loss_D_real: -0.026249 Loss_D_fake 0.005734
[278/5000][25/535][28359] Loss_D: -0.031023 Loss_G: 0.032030 Loss_D_real: -0.028181 Loss_D_fake 0.002843
[278/5000][30/535][28360] Loss_D: -0.032337 Loss_G: -0.004971 Loss_D_real: -0.001320 Loss_D_fake 0.031017
[278/5000][35/535][28361] Loss_D: -0.032917 Loss_G: 0.012045 Loss_D_real: -0.019170 Loss_D_fake 0.013747
[278/5000][40/535][28362] Loss_D: -0.030327 Loss_G: 0.035391 Loss_D_real: -0.037347 Loss_D_fake -0.007021
[278/5000][45/535][28363] Loss_D: -0.031311 Loss_G: 0.003218 Loss_D_real: -0.012524 Loss_D_fake 0.018787
[278/5000][50/535][28364] Loss_D: -0.032101 Loss_G: 0.019481 Loss_D_real: -0.015353 Loss_D_fake 0.016748
[278/5000][55/535][28365] Loss_D: -0.031089 Loss_G: 0.015804 Loss_D_real: -0.021274 Loss_D_fake 0.009815
[278/5000][60/535][28366] Loss_D: -0.032406 Loss_G: 0.006822 Loss_D_real: -0.018015 Loss_D_fake 0.014392
[278/5000][65/535][28367] Loss_D: -0.031985 Loss_G: 0.027392 Loss_D_real: -0.035594 Loss_D_fake -0.003609
[278/5000][70/535][28368] Loss_D: -0.032578 Loss_G: 0.035236 Loss_D_real: -0.041097 Loss_D_fake -0.008519
[278/5000][75/535][28369] Loss_D: -0.034244 Loss_G: 0.021541 Loss_D_real: -0.024401 Loss_D_fake 0.009843
[278/5000][80/535][28370] Loss_D: -0.034727 Loss_G: 0.006847 Loss_D_real: -0.010144 Loss_D_fake 0.024583
[278/5000][85/535][28371] Loss_D: -0.033225 Loss_G: 0.019943 Loss_D_real: -0.029667 Loss_D_fake 0.003558
[278/5000][90/535][28372] Loss_D: -0.032150 Loss_G: 0.035759 Loss_D_real: -0.032658 Loss_D_fake -0.000508
[278/5000][95/535][28373] Loss_D: -0.031297 Loss_G: -0.013556 Loss_D_real: 0.009603 Loss_D_fake 0.040900
[278/5000][100/535][28374] Loss_D: -0.032204 Loss_G: 0.021323 Loss_D_real: -0.023276 Loss_D_fake 0.008928
[278/5000][105/535][28375] Loss_D: -0.029810 Loss_G: -0.003710 Loss_D_real: -0.002632 Loss_D_fake 0.027178
[278/5000][110/535][28376] Loss_D: -0.033177 Loss_G: 0.015903 Loss_D_real: -0.019858 Loss_D_fake 0.013318
[278/5000][115/535][28377] Loss_D: -0.032574 Loss_G: 0.007076 Loss_D_real: -0.013820 Loss_D_fake 0.018754
[278/5000][120/535][28378] Loss_D: -0.031917 Loss_G: 0.016452 Loss_D_real: -0.016642 Loss_D_fake 0.015275
[278/5000][125/535][28379] Loss_D: -0.032110 Loss_G: 0.002502 Loss_D_real: -0.010018 Loss_D_fake 0.022092
[278/5000][130/535][28380] Loss_D: -0.031523 Loss_G: 0.020877 Loss_D_real: -0.030081 Loss_D_fake 0.001442
[278/5000][135/535][28381] Loss_D: -0.032211 Loss_G: 0.006802 Loss_D_real: -0.010247 Loss_D_fake 0.021963
[278/5000][140/535][28382] Loss_D: -0.033840 Loss_G: 0.020787 Loss_D_real: -0.016893 Loss_D_fake 0.016947
[278/5000][145/535][28383] Loss_D: -0.031867 Loss_G: 0.033300 Loss_D_real: -0.033325 Loss_D_fake -0.001458
[278/5000][150/535][28384] Loss_D: -0.032595 Loss_G: 0.020776 Loss_D_real: -0.021410 Loss_D_fake 0.011185
[278/5000][155/535][28385] Loss_D: -0.033067 Loss_G: 0.018789 Loss_D_real: -0.021572 Loss_D_fake 0.011494
[278/5000][160/535][28386] Loss_D: -0.032369 Loss_G: -0.012071 Loss_D_real: -0.003868 Loss_D_fake 0.028501
[278/5000][165/535][28387] Loss_D: -0.031714 Loss_G: 0.028666 Loss_D_real: -0.022967 Loss_D_fake 0.008746
[278/5000][170/535][28388] Loss_D: -0.031982 Loss_G: -0.000502 Loss_D_real: -0.002882 Loss_D_fake 0.029100
[278/5000][175/535][28389] Loss_D: -0.032757 Loss_G: 0.019511 Loss_D_real: -0.023006 Loss_D_fake 0.009751
[278/5000][180/535][28390] Loss_D: -0.032508 Loss_G: 0.012790 Loss_D_real: -0.018993 Loss_D_fake 0.013514
[278/5000][185/535][28391] Loss_D: -0.032902 Loss_G: 0.009840 Loss_D_real: -0.010864 Loss_D_fake 0.022038
[278/5000][190/535][28392] Loss_D: -0.034634 Loss_G: 0.011657 Loss_D_real: -0.016068 Loss_D_fake 0.018565
[278/5000][195/535][28393] Loss_D: -0.033818 Loss_G: 0.028088 Loss_D_real: -0.026518 Loss_D_fake 0.007300
[278/5000][200/535][28394] Loss_D: -0.031172 Loss_G: -0.018171 Loss_D_real: 0.001343 Loss_D_fake 0.032515
[278/5000][205/535][28395] Loss_D: -0.030685 Loss_G: 0.037278 Loss_D_real: -0.030198 Loss_D_fake 0.000487
[278/5000][210/535][28396] Loss_D: -0.033163 Loss_G: -0.006788 Loss_D_real: 0.000423 Loss_D_fake 0.033587
[278/5000][215/535][28397] Loss_D: -0.032616 Loss_G: 0.000481 Loss_D_real: -0.007499 Loss_D_fake 0.025117
[278/5000][220/535][28398] Loss_D: -0.031633 Loss_G: 0.027881 Loss_D_real: -0.023961 Loss_D_fake 0.007672
[278/5000][225/535][28399] Loss_D: -0.032804 Loss_G: 0.005521 Loss_D_real: -0.010812 Loss_D_fake 0.021992
[278/5000][230/535][28400] Loss_D: -0.031992 Loss_G: 0.022424 Loss_D_real: -0.024447 Loss_D_fake 0.007545
[278/5000][235/535][28401] Loss_D: -0.032034 Loss_G: 0.005103 Loss_D_real: -0.015943 Loss_D_fake 0.016091
[278/5000][240/535][28402] Loss_D: -0.033759 Loss_G: -0.003185 Loss_D_real: -0.014887 Loss_D_fake 0.018872
[278/5000][245/535][28403] Loss_D: -0.031646 Loss_G: 0.021379 Loss_D_real: -0.021620 Loss_D_fake 0.010027
[278/5000][250/535][28404] Loss_D: -0.032408 Loss_G: -0.006091 Loss_D_real: -0.012696 Loss_D_fake 0.019712
[278/5000][255/535][28405] Loss_D: -0.031067 Loss_G: 0.005963 Loss_D_real: -0.017343 Loss_D_fake 0.013723
[278/5000][260/535][28406] Loss_D: -0.030492 Loss_G: 0.041842 Loss_D_real: -0.040166 Loss_D_fake -0.009674
[278/5000][265/535][28407] Loss_D: -0.031658 Loss_G: 0.003516 Loss_D_real: -0.009211 Loss_D_fake 0.022447
[278/5000][270/535][28408] Loss_D: -0.031450 Loss_G: 0.009433 Loss_D_real: -0.026356 Loss_D_fake 0.005094
[278/5000][275/535][28409] Loss_D: -0.030104 Loss_G: -0.001980 Loss_D_real: -0.002062 Loss_D_fake 0.028042
[278/5000][280/535][28410] Loss_D: -0.032289 Loss_G: 0.012701 Loss_D_real: -0.021406 Loss_D_fake 0.010883
[278/5000][285/535][28411] Loss_D: -0.031137 Loss_G: 0.006527 Loss_D_real: -0.016498 Loss_D_fake 0.014639
[278/5000][290/535][28412] Loss_D: -0.031843 Loss_G: 0.007622 Loss_D_real: -0.012068 Loss_D_fake 0.019774
[278/5000][295/535][28413] Loss_D: -0.032539 Loss_G: 0.008934 Loss_D_real: -0.017411 Loss_D_fake 0.015128
[278/5000][300/535][28414] Loss_D: -0.034204 Loss_G: 0.019129 Loss_D_real: -0.019038 Loss_D_fake 0.015166
[278/5000][305/535][28415] Loss_D: -0.032496 Loss_G: 0.028251 Loss_D_real: -0.032649 Loss_D_fake -0.000153
[278/5000][310/535][28416] Loss_D: -0.034476 Loss_G: 0.036592 Loss_D_real: -0.023519 Loss_D_fake 0.010957
[278/5000][315/535][28417] Loss_D: -0.031639 Loss_G: 0.016373 Loss_D_real: -0.024134 Loss_D_fake 0.007505
[278/5000][320/535][28418] Loss_D: -0.030115 Loss_G: 0.046554 Loss_D_real: -0.039657 Loss_D_fake -0.009542
[278/5000][325/535][28419] Loss_D: -0.031955 Loss_G: -0.000322 Loss_D_real: -0.008533 Loss_D_fake 0.023422
[278/5000][330/535][28420] Loss_D: -0.032000 Loss_G: 0.036964 Loss_D_real: -0.032635 Loss_D_fake -0.000634
[278/5000][335/535][28421] Loss_D: -0.033542 Loss_G: 0.000633 Loss_D_real: -0.021845 Loss_D_fake 0.011698
[278/5000][340/535][28422] Loss_D: -0.032626 Loss_G: 0.025439 Loss_D_real: -0.028014 Loss_D_fake 0.004612
[278/5000][345/535][28423] Loss_D: -0.033256 Loss_G: 0.014944 Loss_D_real: -0.016785 Loss_D_fake 0.016471
[278/5000][350/535][28424] Loss_D: -0.033422 Loss_G: 0.015293 Loss_D_real: -0.020144 Loss_D_fake 0.013277
[278/5000][355/535][28425] Loss_D: -0.034074 Loss_G: 0.005547 Loss_D_real: -0.010390 Loss_D_fake 0.023684
[278/5000][360/535][28426] Loss_D: -0.032867 Loss_G: 0.021199 Loss_D_real: -0.021832 Loss_D_fake 0.011035
[278/5000][365/535][28427] Loss_D: -0.033249 Loss_G: 0.014605 Loss_D_real: -0.018777 Loss_D_fake 0.014472
[278/5000][370/535][28428] Loss_D: -0.032542 Loss_G: -0.004268 Loss_D_real: -0.002254 Loss_D_fake 0.030287
[278/5000][375/535][28429] Loss_D: -0.032535 Loss_G: 0.018384 Loss_D_real: -0.019023 Loss_D_fake 0.013512
[278/5000][380/535][28430] Loss_D: -0.032170 Loss_G: 0.038928 Loss_D_real: -0.030787 Loss_D_fake 0.001382
[278/5000][385/535][28431] Loss_D: -0.032569 Loss_G: 0.028176 Loss_D_real: -0.027040 Loss_D_fake 0.005529
[278/5000][390/535][28432] Loss_D: -0.032187 Loss_G: 0.026276 Loss_D_real: -0.023847 Loss_D_fake 0.008339
[278/5000][395/535][28433] Loss_D: -0.032529 Loss_G: 0.016988 Loss_D_real: -0.016364 Loss_D_fake 0.016165
[278/5000][400/535][28434] Loss_D: -0.030210 Loss_G: 0.044202 Loss_D_real: -0.042165 Loss_D_fake -0.011955
[278/5000][405/535][28435] Loss_D: -0.033710 Loss_G: 0.020329 Loss_D_real: -0.014920 Loss_D_fake 0.018790
[278/5000][410/535][28436] Loss_D: -0.033031 Loss_G: -0.010456 Loss_D_real: -0.009538 Loss_D_fake 0.023493
[278/5000][415/535][28437] Loss_D: -0.032002 Loss_G: 0.029835 Loss_D_real: -0.027938 Loss_D_fake 0.004063
[278/5000][420/535][28438] Loss_D: -0.033202 Loss_G: 0.023520 Loss_D_real: -0.021609 Loss_D_fake 0.011593
[278/5000][425/535][28439] Loss_D: -0.033888 Loss_G: 0.010777 Loss_D_real: -0.011248 Loss_D_fake 0.022640
[278/5000][430/535][28440] Loss_D: -0.032804 Loss_G: 0.006630 Loss_D_real: -0.007034 Loss_D_fake 0.025770
[278/5000][435/535][28441] Loss_D: -0.033307 Loss_G: 0.010071 Loss_D_real: -0.011036 Loss_D_fake 0.022271
[278/5000][440/535][28442] Loss_D: -0.032809 Loss_G: 0.033099 Loss_D_real: -0.029480 Loss_D_fake 0.003328
[278/5000][445/535][28443] Loss_D: -0.032636 Loss_G: 0.002359 Loss_D_real: -0.002752 Loss_D_fake 0.029884
[278/5000][450/535][28444] Loss_D: -0.032743 Loss_G: 0.027472 Loss_D_real: -0.026598 Loss_D_fake 0.006145
[278/5000][455/535][28445] Loss_D: -0.032815 Loss_G: -0.006433 Loss_D_real: 0.000138 Loss_D_fake 0.032953
[278/5000][460/535][28446] Loss_D: -0.032783 Loss_G: 0.023744 Loss_D_real: -0.020519 Loss_D_fake 0.012264
[278/5000][465/535][28447] Loss_D: -0.032952 Loss_G: 0.003688 Loss_D_real: -0.015948 Loss_D_fake 0.017004
[278/5000][470/535][28448] Loss_D: -0.033493 Loss_G: 0.019330 Loss_D_real: -0.028918 Loss_D_fake 0.004575
[278/5000][475/535][28449] Loss_D: -0.033412 Loss_G: 0.033241 Loss_D_real: -0.031608 Loss_D_fake 0.001804
[278/5000][480/535][28450] Loss_D: -0.031806 Loss_G: 0.028590 Loss_D_real: -0.025016 Loss_D_fake 0.006790
[278/5000][485/535][28451] Loss_D: -0.032963 Loss_G: -0.002344 Loss_D_real: -0.012636 Loss_D_fake 0.020327
[278/5000][490/535][28452] Loss_D: -0.032157 Loss_G: 0.036551 Loss_D_real: -0.034571 Loss_D_fake -0.002414
[278/5000][495/535][28453] Loss_D: -0.031522 Loss_G: -0.009635 Loss_D_real: -0.008954 Loss_D_fake 0.022569
[278/5000][500/535][28454] Loss_D: -0.030846 Loss_G: 0.016891 Loss_D_real: -0.014614 Loss_D_fake 0.016232
[278/5000][505/535][28455] Loss_D: -0.032650 Loss_G: 0.021285 Loss_D_real: -0.020071 Loss_D_fake 0.012578
[278/5000][510/535][28456] Loss_D: -0.031824 Loss_G: 0.021393 Loss_D_real: -0.017515 Loss_D_fake 0.014309
[278/5000][515/535][28457] Loss_D: -0.030416 Loss_G: -0.002889 Loss_D_real: -0.005788 Loss_D_fake 0.024628
[278/5000][520/535][28458] Loss_D: -0.032287 Loss_G: 0.026057 Loss_D_real: -0.032500 Loss_D_fake -0.000213
[278/5000][525/535][28459] Loss_D: -0.032818 Loss_G: 0.014873 Loss_D_real: -0.014268 Loss_D_fake 0.018550
[278/5000][530/535][28460] Loss_D: -0.033722 Loss_G: 0.012733 Loss_D_real: -0.022022 Loss_D_fake 0.011701
[278/5000][535/535][28461] Loss_D: -0.034511 Loss_G: 0.026789 Loss_D_real: -0.032740 Loss_D_fake 0.001771
[279/5000][5/535][28462] Loss_D: -0.032979 Loss_G: 0.029791 Loss_D_real: -0.030679 Loss_D_fake 0.002300
[279/5000][10/535][28463] Loss_D: -0.030571 Loss_G: 0.043154 Loss_D_real: -0.036225 Loss_D_fake -0.005655
[279/5000][15/535][28464] Loss_D: -0.031413 Loss_G: -0.000262 Loss_D_real: -0.011126 Loss_D_fake 0.020287
[279/5000][20/535][28465] Loss_D: -0.032080 Loss_G: 0.018483 Loss_D_real: -0.023915 Loss_D_fake 0.008165
[279/5000][25/535][28466] Loss_D: -0.032867 Loss_G: 0.028794 Loss_D_real: -0.033048 Loss_D_fake -0.000181
[279/5000][30/535][28467] Loss_D: -0.032454 Loss_G: -0.016268 Loss_D_real: 0.000623 Loss_D_fake 0.033078
[279/5000][35/535][28468] Loss_D: -0.030536 Loss_G: 0.023847 Loss_D_real: -0.033544 Loss_D_fake -0.003008
[279/5000][40/535][28469] Loss_D: -0.031192 Loss_G: 0.005057 Loss_D_real: -0.013188 Loss_D_fake 0.018004
[279/5000][45/535][28470] Loss_D: -0.031530 Loss_G: 0.022614 Loss_D_real: -0.026220 Loss_D_fake 0.005310
[279/5000][50/535][28471] Loss_D: -0.032450 Loss_G: 0.016724 Loss_D_real: -0.017598 Loss_D_fake 0.014852
[279/5000][55/535][28472] Loss_D: -0.033787 Loss_G: 0.013355 Loss_D_real: -0.014208 Loss_D_fake 0.019579
[279/5000][60/535][28473] Loss_D: -0.033665 Loss_G: 0.009862 Loss_D_real: -0.015385 Loss_D_fake 0.018280
[279/5000][65/535][28474] Loss_D: -0.034432 Loss_G: 0.014375 Loss_D_real: -0.016878 Loss_D_fake 0.017554
[279/5000][70/535][28475] Loss_D: -0.032178 Loss_G: 0.032290 Loss_D_real: -0.035172 Loss_D_fake -0.002994
[279/5000][75/535][28476] Loss_D: -0.032467 Loss_G: 0.033871 Loss_D_real: -0.030447 Loss_D_fake 0.002020
[279/5000][80/535][28477] Loss_D: -0.033295 Loss_G: 0.005700 Loss_D_real: -0.014880 Loss_D_fake 0.018415
[279/5000][85/535][28478] Loss_D: -0.032232 Loss_G: 0.033484 Loss_D_real: -0.030017 Loss_D_fake 0.002215
[279/5000][90/535][28479] Loss_D: -0.031203 Loss_G: -0.008258 Loss_D_real: -0.000070 Loss_D_fake 0.031133
[279/5000][95/535][28480] Loss_D: -0.031401 Loss_G: 0.026919 Loss_D_real: -0.026000 Loss_D_fake 0.005402
[279/5000][100/535][28481] Loss_D: -0.033866 Loss_G: 0.029005 Loss_D_real: -0.022845 Loss_D_fake 0.011021
[279/5000][105/535][28482] Loss_D: -0.032905 Loss_G: 0.012889 Loss_D_real: -0.010693 Loss_D_fake 0.022212
[279/5000][110/535][28483] Loss_D: -0.033045 Loss_G: 0.034124 Loss_D_real: -0.037102 Loss_D_fake -0.004057
[279/5000][115/535][28484] Loss_D: -0.033400 Loss_G: 0.011880 Loss_D_real: -0.019173 Loss_D_fake 0.014227
[279/5000][120/535][28485] Loss_D: -0.031903 Loss_G: 0.042369 Loss_D_real: -0.036445 Loss_D_fake -0.004542
[279/5000][125/535][28486] Loss_D: -0.032846 Loss_G: 0.008832 Loss_D_real: -0.017391 Loss_D_fake 0.015456
[279/5000][130/535][28487] Loss_D: -0.032530 Loss_G: 0.020572 Loss_D_real: -0.020247 Loss_D_fake 0.012282
[279/5000][135/535][28488] Loss_D: -0.032289 Loss_G: -0.003618 Loss_D_real: -0.003836 Loss_D_fake 0.028453
[279/5000][140/535][28489] Loss_D: -0.032510 Loss_G: 0.027255 Loss_D_real: -0.027453 Loss_D_fake 0.005057
[279/5000][145/535][28490] Loss_D: -0.032386 Loss_G: 0.027589 Loss_D_real: -0.025941 Loss_D_fake 0.006444
[279/5000][150/535][28491] Loss_D: -0.032474 Loss_G: -0.001654 Loss_D_real: -0.006743 Loss_D_fake 0.025731
[279/5000][155/535][28492] Loss_D: -0.032738 Loss_G: 0.037145 Loss_D_real: -0.036799 Loss_D_fake -0.004060
[279/5000][160/535][28493] Loss_D: -0.033159 Loss_G: 0.017805 Loss_D_real: -0.014247 Loss_D_fake 0.018912
[279/5000][165/535][28494] Loss_D: -0.032895 Loss_G: -0.001716 Loss_D_real: -0.003857 Loss_D_fake 0.029038
[279/5000][170/535][28495] Loss_D: -0.032996 Loss_G: 0.021801 Loss_D_real: -0.024054 Loss_D_fake 0.008942
[279/5000][175/535][28496] Loss_D: -0.029127 Loss_G: -0.009278 Loss_D_real: -0.002090 Loss_D_fake 0.027037
[279/5000][180/535][28497] Loss_D: -0.032961 Loss_G: 0.023472 Loss_D_real: -0.021344 Loss_D_fake 0.011617
[279/5000][185/535][28498] Loss_D: -0.031772 Loss_G: 0.029774 Loss_D_real: -0.032464 Loss_D_fake -0.000693
[279/5000][190/535][28499] Loss_D: -0.031669 Loss_G: 0.016977 Loss_D_real: -0.023434 Loss_D_fake 0.008235
[279/5000][195/535][28500] Loss_D: -0.030208 Loss_G: 0.039672 Loss_D_real: -0.035447 Loss_D_fake -0.005240
[279/5000][295/535][28501] Loss_D: -0.032505 Loss_G: -0.001817 Loss_D_real: -0.004958 Loss_D_fake 0.027548
[279/5000][300/535][28502] Loss_D: -0.030704 Loss_G: 0.041276 Loss_D_real: -0.039562 Loss_D_fake -0.008858
[279/5000][305/535][28503] Loss_D: -0.030134 Loss_G: 0.002553 Loss_D_real: -0.000885 Loss_D_fake 0.029248
[279/5000][310/535][28504] Loss_D: -0.031025 Loss_G: 0.030348 Loss_D_real: -0.035319 Loss_D_fake -0.004294
[279/5000][315/535][28505] Loss_D: -0.032430 Loss_G: 0.022313 Loss_D_real: -0.018602 Loss_D_fake 0.013828
[279/5000][320/535][28506] Loss_D: -0.031308 Loss_G: 0.015819 Loss_D_real: -0.016035 Loss_D_fake 0.015273
[279/5000][325/535][28507] Loss_D: -0.030783 Loss_G: 0.012736 Loss_D_real: -0.014639 Loss_D_fake 0.016144
[279/5000][330/535][28508] Loss_D: -0.031793 Loss_G: 0.018497 Loss_D_real: -0.021284 Loss_D_fake 0.010509
[279/5000][335/535][28509] Loss_D: -0.033029 Loss_G: 0.033611 Loss_D_real: -0.042166 Loss_D_fake -0.009136
[279/5000][340/535][28510] Loss_D: -0.033092 Loss_G: 0.021078 Loss_D_real: -0.030117 Loss_D_fake 0.002975
[279/5000][345/535][28511] Loss_D: -0.032927 Loss_G: 0.012460 Loss_D_real: -0.010026 Loss_D_fake 0.022901
[279/5000][350/535][28512] Loss_D: -0.032616 Loss_G: 0.022417 Loss_D_real: -0.030470 Loss_D_fake 0.002147
[279/5000][355/535][28513] Loss_D: -0.032867 Loss_G: 0.027764 Loss_D_real: -0.019751 Loss_D_fake 0.013116
[279/5000][360/535][28514] Loss_D: -0.034463 Loss_G: 0.003605 Loss_D_real: -0.017075 Loss_D_fake 0.017388
[279/5000][365/535][28515] Loss_D: -0.032872 Loss_G: 0.006197 Loss_D_real: -0.017664 Loss_D_fake 0.015208
[279/5000][370/535][28516] Loss_D: -0.032690 Loss_G: 0.035414 Loss_D_real: -0.034683 Loss_D_fake -0.001993
[279/5000][375/535][28517] Loss_D: -0.032182 Loss_G: -0.002606 Loss_D_real: -0.006547 Loss_D_fake 0.025635
[279/5000][380/535][28518] Loss_D: -0.032190 Loss_G: 0.026785 Loss_D_real: -0.031252 Loss_D_fake 0.000938
[279/5000][385/535][28519] Loss_D: -0.032076 Loss_G: 0.012037 Loss_D_real: -0.014580 Loss_D_fake 0.017496
[279/5000][390/535][28520] Loss_D: -0.032509 Loss_G: 0.026875 Loss_D_real: -0.020720 Loss_D_fake 0.011789
[279/5000][395/535][28521] Loss_D: -0.030657 Loss_G: 0.019022 Loss_D_real: -0.021195 Loss_D_fake 0.009462
[279/5000][400/535][28522] Loss_D: -0.033976 Loss_G: 0.027326 Loss_D_real: -0.022934 Loss_D_fake 0.011042
[279/5000][405/535][28523] Loss_D: -0.033045 Loss_G: 0.033205 Loss_D_real: -0.030318 Loss_D_fake 0.002727
[279/5000][410/535][28524] Loss_D: -0.034513 Loss_G: -0.004768 Loss_D_real: -0.006924 Loss_D_fake 0.027589
[279/5000][415/535][28525] Loss_D: -0.031048 Loss_G: 0.030735 Loss_D_real: -0.028263 Loss_D_fake 0.002786
[279/5000][420/535][28526] Loss_D: -0.032699 Loss_G: -0.007339 Loss_D_real: -0.006205 Loss_D_fake 0.026494
[279/5000][425/535][28527] Loss_D: -0.032792 Loss_G: 0.016976 Loss_D_real: -0.019367 Loss_D_fake 0.013425
[279/5000][430/535][28528] Loss_D: -0.034117 Loss_G: 0.006159 Loss_D_real: -0.014263 Loss_D_fake 0.019854
[279/5000][435/535][28529] Loss_D: -0.032108 Loss_G: -0.009459 Loss_D_real: 0.000292 Loss_D_fake 0.032399
[279/5000][440/535][28530] Loss_D: -0.030296 Loss_G: 0.032202 Loss_D_real: -0.035478 Loss_D_fake -0.005182
[279/5000][445/535][28531] Loss_D: -0.031878 Loss_G: 0.013655 Loss_D_real: -0.023067 Loss_D_fake 0.008811
[279/5000][450/535][28532] Loss_D: -0.032562 Loss_G: 0.004437 Loss_D_real: -0.020724 Loss_D_fake 0.011838
[279/5000][455/535][28533] Loss_D: -0.033026 Loss_G: 0.025713 Loss_D_real: -0.032099 Loss_D_fake 0.000926
[279/5000][460/535][28534] Loss_D: -0.033715 Loss_G: 0.032506 Loss_D_real: -0.017356 Loss_D_fake 0.016359
[279/5000][465/535][28535] Loss_D: -0.032496 Loss_G: 0.021751 Loss_D_real: -0.021138 Loss_D_fake 0.011358
[279/5000][470/535][28536] Loss_D: -0.033178 Loss_G: 0.009728 Loss_D_real: -0.013115 Loss_D_fake 0.020063
[279/5000][475/535][28537] Loss_D: -0.034806 Loss_G: 0.017563 Loss_D_real: -0.023472 Loss_D_fake 0.011334
[279/5000][480/535][28538] Loss_D: -0.031948 Loss_G: 0.020632 Loss_D_real: -0.021849 Loss_D_fake 0.010098
[279/5000][485/535][28539] Loss_D: -0.032688 Loss_G: 0.005999 Loss_D_real: -0.017055 Loss_D_fake 0.015633
[279/5000][490/535][28540] Loss_D: -0.031236 Loss_G: 0.048901 Loss_D_real: -0.037246 Loss_D_fake -0.006010
[279/5000][495/535][28541] Loss_D: -0.031724 Loss_G: -0.009821 Loss_D_real: -0.000015 Loss_D_fake 0.031709
[279/5000][500/535][28542] Loss_D: -0.031192 Loss_G: 0.020708 Loss_D_real: -0.020508 Loss_D_fake 0.010685
[279/5000][505/535][28543] Loss_D: -0.032207 Loss_G: -0.001340 Loss_D_real: -0.011701 Loss_D_fake 0.020506
[279/5000][510/535][28544] Loss_D: -0.032248 Loss_G: 0.008398 Loss_D_real: -0.019418 Loss_D_fake 0.012830
[279/5000][515/535][28545] Loss_D: -0.032821 Loss_G: 0.029297 Loss_D_real: -0.033986 Loss_D_fake -0.001165
[279/5000][520/535][28546] Loss_D: -0.033342 Loss_G: 0.002876 Loss_D_real: -0.014713 Loss_D_fake 0.018629
[279/5000][525/535][28547] Loss_D: -0.031899 Loss_G: 0.026090 Loss_D_real: -0.031364 Loss_D_fake 0.000535
[279/5000][530/535][28548] Loss_D: -0.033988 Loss_G: 0.012392 Loss_D_real: -0.021246 Loss_D_fake 0.012742
[279/5000][535/535][28549] Loss_D: -0.035413 Loss_G: 0.015805 Loss_D_real: -0.041563 Loss_D_fake -0.006150
[280/5000][5/535][28550] Loss_D: -0.032545 Loss_G: 0.025433 Loss_D_real: -0.020170 Loss_D_fake 0.012375
[280/5000][10/535][28551] Loss_D: -0.029425 Loss_G: 0.031834 Loss_D_real: -0.032680 Loss_D_fake -0.003255
[280/5000][15/535][28552] Loss_D: -0.033658 Loss_G: 0.026551 Loss_D_real: -0.024127 Loss_D_fake 0.009531
[280/5000][20/535][28553] Loss_D: -0.032846 Loss_G: 0.028128 Loss_D_real: -0.028417 Loss_D_fake 0.004429
[280/5000][25/535][28554] Loss_D: -0.031227 Loss_G: 0.002771 Loss_D_real: -0.011547 Loss_D_fake 0.019680
[280/5000][30/535][28555] Loss_D: -0.033974 Loss_G: 0.025036 Loss_D_real: -0.018931 Loss_D_fake 0.015044
[280/5000][35/535][28556] Loss_D: -0.033184 Loss_G: 0.027493 Loss_D_real: -0.026751 Loss_D_fake 0.006433
[280/5000][40/535][28557] Loss_D: -0.035540 Loss_G: 0.009872 Loss_D_real: -0.020266 Loss_D_fake 0.015274
[280/5000][45/535][28558] Loss_D: -0.032826 Loss_G: 0.030018 Loss_D_real: -0.027288 Loss_D_fake 0.005538
[280/5000][50/535][28559] Loss_D: -0.034857 Loss_G: 0.018361 Loss_D_real: -0.023295 Loss_D_fake 0.011562
[280/5000][55/535][28560] Loss_D: -0.033272 Loss_G: -0.002793 Loss_D_real: -0.007736 Loss_D_fake 0.025536
[280/5000][60/535][28561] Loss_D: -0.032805 Loss_G: 0.000183 Loss_D_real: -0.014943 Loss_D_fake 0.017862
[280/5000][65/535][28562] Loss_D: -0.032107 Loss_G: 0.033598 Loss_D_real: -0.031279 Loss_D_fake 0.000827
[280/5000][70/535][28563] Loss_D: -0.032742 Loss_G: -0.010721 Loss_D_real: -0.000038 Loss_D_fake 0.032704
[280/5000][75/535][28564] Loss_D: -0.029020 Loss_G: 0.027632 Loss_D_real: -0.035557 Loss_D_fake -0.006537
[280/5000][80/535][28565] Loss_D: -0.033381 Loss_G: 0.003372 Loss_D_real: -0.016833 Loss_D_fake 0.016548
[280/5000][85/535][28566] Loss_D: -0.031931 Loss_G: 0.027355 Loss_D_real: -0.030403 Loss_D_fake 0.001529
[280/5000][90/535][28567] Loss_D: -0.031782 Loss_G: 0.002633 Loss_D_real: -0.005061 Loss_D_fake 0.026721
[280/5000][95/535][28568] Loss_D: -0.032337 Loss_G: 0.028618 Loss_D_real: -0.033109 Loss_D_fake -0.000771
[280/5000][100/535][28569] Loss_D: -0.031749 Loss_G: 0.021300 Loss_D_real: -0.030937 Loss_D_fake 0.000813
[280/5000][105/535][28570] Loss_D: -0.033187 Loss_G: 0.022405 Loss_D_real: -0.020218 Loss_D_fake 0.012970
[280/5000][110/535][28571] Loss_D: -0.032623 Loss_G: 0.011495 Loss_D_real: -0.018543 Loss_D_fake 0.014080
[280/5000][115/535][28572] Loss_D: -0.031765 Loss_G: 0.041688 Loss_D_real: -0.030552 Loss_D_fake 0.001213
[280/5000][120/535][28573] Loss_D: -0.032034 Loss_G: 0.005022 Loss_D_real: -0.006841 Loss_D_fake 0.025192
[280/5000][125/535][28574] Loss_D: -0.032390 Loss_G: 0.009329 Loss_D_real: -0.015100 Loss_D_fake 0.017290
[280/5000][130/535][28575] Loss_D: -0.032628 Loss_G: 0.011032 Loss_D_real: -0.009042 Loss_D_fake 0.023587
[280/5000][135/535][28576] Loss_D: -0.032960 Loss_G: 0.036384 Loss_D_real: -0.030319 Loss_D_fake 0.002640
[280/5000][140/535][28577] Loss_D: -0.032925 Loss_G: 0.030990 Loss_D_real: -0.035704 Loss_D_fake -0.002779
[280/5000][145/535][28578] Loss_D: -0.032916 Loss_G: -0.008777 Loss_D_real: 0.000061 Loss_D_fake 0.032976
[280/5000][150/535][28579] Loss_D: -0.032477 Loss_G: 0.017915 Loss_D_real: -0.022421 Loss_D_fake 0.010056
[280/5000][155/535][28580] Loss_D: -0.033661 Loss_G: 0.027144 Loss_D_real: -0.026066 Loss_D_fake 0.007595
[280/5000][160/535][28581] Loss_D: -0.032436 Loss_G: 0.011333 Loss_D_real: -0.021045 Loss_D_fake 0.011391
[280/5000][165/535][28582] Loss_D: -0.032324 Loss_G: 0.031866 Loss_D_real: -0.026741 Loss_D_fake 0.005583
[280/5000][170/535][28583] Loss_D: -0.032801 Loss_G: 0.009251 Loss_D_real: -0.017185 Loss_D_fake 0.015616
[280/5000][175/535][28584] Loss_D: -0.033193 Loss_G: 0.031231 Loss_D_real: -0.031412 Loss_D_fake 0.001782
[280/5000][180/535][28585] Loss_D: -0.032919 Loss_G: 0.006986 Loss_D_real: -0.010692 Loss_D_fake 0.022226
[280/5000][185/535][28586] Loss_D: -0.031976 Loss_G: 0.025293 Loss_D_real: -0.024276 Loss_D_fake 0.007699
[280/5000][190/535][28587] Loss_D: -0.033615 Loss_G: 0.019845 Loss_D_real: -0.023063 Loss_D_fake 0.010552
[280/5000][195/535][28588] Loss_D: -0.032557 Loss_G: 0.013443 Loss_D_real: -0.020131 Loss_D_fake 0.012425
[280/5000][200/535][28589] Loss_D: -0.032719 Loss_G: 0.022767 Loss_D_real: -0.015991 Loss_D_fake 0.016728
[280/5000][205/535][28590] Loss_D: -0.034427 Loss_G: 0.019398 Loss_D_real: -0.036503 Loss_D_fake -0.002076
[280/5000][210/535][28591] Loss_D: -0.032640 Loss_G: -0.003923 Loss_D_real: -0.008549 Loss_D_fake 0.024091
[280/5000][215/535][28592] Loss_D: -0.032488 Loss_G: 0.014977 Loss_D_real: -0.017912 Loss_D_fake 0.014576
[280/5000][220/535][28593] Loss_D: -0.032530 Loss_G: 0.013527 Loss_D_real: -0.021140 Loss_D_fake 0.011390
[280/5000][225/535][28594] Loss_D: -0.031106 Loss_G: 0.034694 Loss_D_real: -0.041837 Loss_D_fake -0.010731
[280/5000][230/535][28595] Loss_D: -0.033119 Loss_G: 0.007977 Loss_D_real: -0.015485 Loss_D_fake 0.017633
[280/5000][235/535][28596] Loss_D: -0.033371 Loss_G: 0.046228 Loss_D_real: -0.040235 Loss_D_fake -0.006864
[280/5000][240/535][28597] Loss_D: -0.030793 Loss_G: -0.005224 Loss_D_real: 0.006529 Loss_D_fake 0.037322
[280/5000][245/535][28598] Loss_D: -0.031998 Loss_G: 0.025206 Loss_D_real: -0.028905 Loss_D_fake 0.003092
[280/5000][250/535][28599] Loss_D: -0.031932 Loss_G: 0.001753 Loss_D_real: -0.010503 Loss_D_fake 0.021429
[280/5000][255/535][28600] Loss_D: -0.034073 Loss_G: 0.028464 Loss_D_real: -0.026741 Loss_D_fake 0.007332
[280/5000][260/535][28601] Loss_D: -0.030742 Loss_G: -0.000518 Loss_D_real: 0.001254 Loss_D_fake 0.031997
[280/5000][265/535][28602] Loss_D: -0.032443 Loss_G: 0.011164 Loss_D_real: -0.018371 Loss_D_fake 0.014071
[280/5000][270/535][28603] Loss_D: -0.031443 Loss_G: 0.037038 Loss_D_real: -0.033891 Loss_D_fake -0.002448
[280/5000][275/535][28604] Loss_D: -0.032644 Loss_G: 0.007832 Loss_D_real: -0.013281 Loss_D_fake 0.019363
[280/5000][280/535][28605] Loss_D: -0.031487 Loss_G: 0.024846 Loss_D_real: -0.028549 Loss_D_fake 0.002939
[280/5000][285/535][28606] Loss_D: -0.032704 Loss_G: 0.018522 Loss_D_real: -0.016836 Loss_D_fake 0.015868
[280/5000][290/535][28607] Loss_D: -0.034054 Loss_G: 0.005030 Loss_D_real: -0.018811 Loss_D_fake 0.015243
[280/5000][295/535][28608] Loss_D: -0.032675 Loss_G: -0.012822 Loss_D_real: -0.001997 Loss_D_fake 0.030678
[280/5000][300/535][28609] Loss_D: -0.032304 Loss_G: 0.008624 Loss_D_real: -0.017189 Loss_D_fake 0.015115
[280/5000][305/535][28610] Loss_D: -0.033598 Loss_G: 0.020350 Loss_D_real: -0.021919 Loss_D_fake 0.011680
[280/5000][310/535][28611] Loss_D: -0.032115 Loss_G: 0.030176 Loss_D_real: -0.027535 Loss_D_fake 0.004580
[280/5000][315/535][28612] Loss_D: -0.033555 Loss_G: 0.023344 Loss_D_real: -0.023921 Loss_D_fake 0.009634
[280/5000][320/535][28613] Loss_D: -0.033250 Loss_G: 0.016695 Loss_D_real: -0.013916 Loss_D_fake 0.019334
[280/5000][325/535][28614] Loss_D: -0.033633 Loss_G: 0.003749 Loss_D_real: -0.015683 Loss_D_fake 0.017950
[280/5000][330/535][28615] Loss_D: -0.032323 Loss_G: 0.036759 Loss_D_real: -0.034388 Loss_D_fake -0.002064
[280/5000][335/535][28616] Loss_D: -0.033630 Loss_G: 0.006259 Loss_D_real: -0.013889 Loss_D_fake 0.019741
[280/5000][340/535][28617] Loss_D: -0.033378 Loss_G: 0.017205 Loss_D_real: -0.021695 Loss_D_fake 0.011683
[280/5000][345/535][28618] Loss_D: -0.033275 Loss_G: 0.030596 Loss_D_real: -0.019927 Loss_D_fake 0.013348
[280/5000][350/535][28619] Loss_D: -0.031993 Loss_G: 0.021167 Loss_D_real: -0.023944 Loss_D_fake 0.008049
[280/5000][355/535][28620] Loss_D: -0.032123 Loss_G: 0.010471 Loss_D_real: -0.024773 Loss_D_fake 0.007350
[280/5000][360/535][28621] Loss_D: -0.034259 Loss_G: 0.002974 Loss_D_real: -0.013576 Loss_D_fake 0.020684
[280/5000][365/535][28622] Loss_D: -0.031417 Loss_G: 0.041792 Loss_D_real: -0.034649 Loss_D_fake -0.003232
[280/5000][370/535][28623] Loss_D: -0.032017 Loss_G: 0.025421 Loss_D_real: -0.030947 Loss_D_fake 0.001070
[280/5000][375/535][28624] Loss_D: -0.032348 Loss_G: 0.017043 Loss_D_real: -0.011025 Loss_D_fake 0.021323
[280/5000][380/535][28625] Loss_D: -0.030652 Loss_G: -0.003560 Loss_D_real: -0.010418 Loss_D_fake 0.020234
[280/5000][385/535][28626] Loss_D: -0.030574 Loss_G: 0.029395 Loss_D_real: -0.029215 Loss_D_fake 0.001359
[280/5000][390/535][28627] Loss_D: -0.032294 Loss_G: 0.019093 Loss_D_real: -0.017429 Loss_D_fake 0.014865
[280/5000][395/535][28628] Loss_D: -0.032114 Loss_G: 0.009997 Loss_D_real: -0.011706 Loss_D_fake 0.020408
[280/5000][400/535][28629] Loss_D: -0.032288 Loss_G: 0.012739 Loss_D_real: -0.022972 Loss_D_fake 0.009316
[280/5000][405/535][28630] Loss_D: -0.033351 Loss_G: 0.020930 Loss_D_real: -0.026921 Loss_D_fake 0.006430
[280/5000][410/535][28631] Loss_D: -0.033049 Loss_G: -0.001471 Loss_D_real: -0.012170 Loss_D_fake 0.020879
[280/5000][415/535][28632] Loss_D: -0.032184 Loss_G: 0.025558 Loss_D_real: -0.026888 Loss_D_fake 0.005296
[280/5000][420/535][28633] Loss_D: -0.032773 Loss_G: 0.004638 Loss_D_real: -0.004474 Loss_D_fake 0.028299
[280/5000][425/535][28634] Loss_D: -0.029415 Loss_G: 0.038686 Loss_D_real: -0.036463 Loss_D_fake -0.007048
[280/5000][430/535][28635] Loss_D: -0.032552 Loss_G: 0.014619 Loss_D_real: -0.017991 Loss_D_fake 0.014561
[280/5000][435/535][28636] Loss_D: -0.031456 Loss_G: 0.008146 Loss_D_real: -0.012312 Loss_D_fake 0.019144
[280/5000][440/535][28637] Loss_D: -0.032974 Loss_G: 0.035726 Loss_D_real: -0.034576 Loss_D_fake -0.001602
[280/5000][445/535][28638] Loss_D: -0.033645 Loss_G: 0.018387 Loss_D_real: -0.008977 Loss_D_fake 0.024668
[280/5000][450/535][28639] Loss_D: -0.031489 Loss_G: 0.016044 Loss_D_real: -0.019573 Loss_D_fake 0.011916
[280/5000][455/535][28640] Loss_D: -0.033489 Loss_G: 0.021800 Loss_D_real: -0.026854 Loss_D_fake 0.006635
[280/5000][460/535][28641] Loss_D: -0.032873 Loss_G: 0.032642 Loss_D_real: -0.034045 Loss_D_fake -0.001172
[280/5000][465/535][28642] Loss_D: -0.034052 Loss_G: 0.023763 Loss_D_real: -0.022792 Loss_D_fake 0.011260
[280/5000][470/535][28643] Loss_D: -0.033579 Loss_G: -0.007351 Loss_D_real: -0.008610 Loss_D_fake 0.024969
[280/5000][475/535][28644] Loss_D: -0.030761 Loss_G: 0.041374 Loss_D_real: -0.044982 Loss_D_fake -0.014221
[280/5000][480/535][28645] Loss_D: -0.031371 Loss_G: 0.007106 Loss_D_real: -0.002881 Loss_D_fake 0.028491
[280/5000][485/535][28646] Loss_D: -0.032095 Loss_G: 0.008155 Loss_D_real: -0.017719 Loss_D_fake 0.014376
[280/5000][490/535][28647] Loss_D: -0.033204 Loss_G: 0.016325 Loss_D_real: -0.021025 Loss_D_fake 0.012179
[280/5000][495/535][28648] Loss_D: -0.031080 Loss_G: 0.025717 Loss_D_real: -0.038490 Loss_D_fake -0.007410
[280/5000][500/535][28649] Loss_D: -0.031940 Loss_G: 0.033479 Loss_D_real: -0.036033 Loss_D_fake -0.004093
[280/5000][505/535][28650] Loss_D: -0.033521 Loss_G: 0.028969 Loss_D_real: -0.028715 Loss_D_fake 0.004806
[280/5000][510/535][28651] Loss_D: -0.032921 Loss_G: 0.029440 Loss_D_real: -0.022395 Loss_D_fake 0.010526
[280/5000][515/535][28652] Loss_D: -0.032879 Loss_G: -0.000803 Loss_D_real: -0.003000 Loss_D_fake 0.029879
[280/5000][520/535][28653] Loss_D: -0.031060 Loss_G: 0.026169 Loss_D_real: -0.026672 Loss_D_fake 0.004388
[280/5000][525/535][28654] Loss_D: -0.033148 Loss_G: 0.030101 Loss_D_real: -0.022734 Loss_D_fake 0.010414
[280/5000][530/535][28655] Loss_D: -0.032533 Loss_G: 0.000162 Loss_D_real: -0.002355 Loss_D_fake 0.030179
[280/5000][535/535][28656] Loss_D: -0.032785 Loss_G: -0.000554 Loss_D_real: -0.026746 Loss_D_fake 0.006039
[281/5000][5/535][28657] Loss_D: -0.032327 Loss_G: -0.002627 Loss_D_real: -0.011229 Loss_D_fake 0.021098
[281/5000][10/535][28658] Loss_D: -0.033129 Loss_G: 0.013026 Loss_D_real: -0.009890 Loss_D_fake 0.023240
[281/5000][15/535][28659] Loss_D: -0.032926 Loss_G: 0.004657 Loss_D_real: -0.008380 Loss_D_fake 0.024545
[281/5000][20/535][28660] Loss_D: -0.031093 Loss_G: 0.034601 Loss_D_real: -0.037270 Loss_D_fake -0.006178
[281/5000][25/535][28661] Loss_D: -0.031400 Loss_G: 0.030034 Loss_D_real: -0.035921 Loss_D_fake -0.004521
[281/5000][30/535][28662] Loss_D: -0.032778 Loss_G: 0.001521 Loss_D_real: -0.006261 Loss_D_fake 0.026518
[281/5000][35/535][28663] Loss_D: -0.032072 Loss_G: 0.009765 Loss_D_real: -0.025550 Loss_D_fake 0.006522
[281/5000][40/535][28664] Loss_D: -0.032110 Loss_G: 0.005754 Loss_D_real: -0.014844 Loss_D_fake 0.017267
[281/5000][45/535][28665] Loss_D: -0.032634 Loss_G: 0.025308 Loss_D_real: -0.027125 Loss_D_fake 0.005509
[281/5000][50/535][28666] Loss_D: -0.034382 Loss_G: 0.009521 Loss_D_real: -0.021427 Loss_D_fake 0.012955
[281/5000][55/535][28667] Loss_D: -0.030618 Loss_G: 0.039604 Loss_D_real: -0.037841 Loss_D_fake -0.007224
[281/5000][60/535][28668] Loss_D: -0.032240 Loss_G: 0.002245 Loss_D_real: -0.016146 Loss_D_fake 0.016094
[281/5000][65/535][28669] Loss_D: -0.032111 Loss_G: 0.022712 Loss_D_real: -0.028644 Loss_D_fake 0.003468
[281/5000][70/535][28670] Loss_D: -0.031248 Loss_G: 0.037259 Loss_D_real: -0.035758 Loss_D_fake -0.004510
[281/5000][75/535][28671] Loss_D: -0.031311 Loss_G: 0.006763 Loss_D_real: -0.007555 Loss_D_fake 0.023755
[281/5000][80/535][28672] Loss_D: -0.030021 Loss_G: -0.007035 Loss_D_real: -0.001547 Loss_D_fake 0.028475
[281/5000][85/535][28673] Loss_D: -0.032384 Loss_G: 0.023723 Loss_D_real: -0.029282 Loss_D_fake 0.003102
[281/5000][90/535][28674] Loss_D: -0.033536 Loss_G: 0.007202 Loss_D_real: -0.007010 Loss_D_fake 0.026526
[281/5000][95/535][28675] Loss_D: -0.032701 Loss_G: 0.025348 Loss_D_real: -0.025149 Loss_D_fake 0.007552
[281/5000][100/535][28676] Loss_D: -0.033465 Loss_G: 0.011423 Loss_D_real: -0.015447 Loss_D_fake 0.018019
[281/5000][105/535][28677] Loss_D: -0.031838 Loss_G: 0.042561 Loss_D_real: -0.037872 Loss_D_fake -0.006035
[281/5000][110/535][28678] Loss_D: -0.033136 Loss_G: 0.007404 Loss_D_real: -0.014482 Loss_D_fake 0.018654
[281/5000][115/535][28679] Loss_D: -0.033016 Loss_G: 0.014992 Loss_D_real: -0.025444 Loss_D_fake 0.007572
[281/5000][120/535][28680] Loss_D: -0.033822 Loss_G: 0.007409 Loss_D_real: -0.014551 Loss_D_fake 0.019271
[281/5000][125/535][28681] Loss_D: -0.033851 Loss_G: 0.018927 Loss_D_real: -0.021924 Loss_D_fake 0.011927
[281/5000][130/535][28682] Loss_D: -0.033576 Loss_G: 0.013938 Loss_D_real: -0.030975 Loss_D_fake 0.002601
[281/5000][135/535][28683] Loss_D: -0.033939 Loss_G: 0.040317 Loss_D_real: -0.034473 Loss_D_fake -0.000534
[281/5000][140/535][28684] Loss_D: -0.033379 Loss_G: 0.021779 Loss_D_real: -0.026057 Loss_D_fake 0.007322
[281/5000][145/535][28685] Loss_D: -0.033966 Loss_G: 0.029360 Loss_D_real: -0.021179 Loss_D_fake 0.012787
[281/5000][150/535][28686] Loss_D: -0.032174 Loss_G: -0.011738 Loss_D_real: -0.006148 Loss_D_fake 0.026026
[281/5000][155/535][28687] Loss_D: -0.031687 Loss_G: 0.024576 Loss_D_real: -0.024464 Loss_D_fake 0.007223
[281/5000][160/535][28688] Loss_D: -0.032814 Loss_G: 0.018632 Loss_D_real: -0.026480 Loss_D_fake 0.006334
[281/5000][165/535][28689] Loss_D: -0.033398 Loss_G: 0.034237 Loss_D_real: -0.031921 Loss_D_fake 0.001478
[281/5000][170/535][28690] Loss_D: -0.033697 Loss_G: 0.017928 Loss_D_real: -0.026667 Loss_D_fake 0.007030
[281/5000][175/535][28691] Loss_D: -0.033380 Loss_G: 0.014251 Loss_D_real: -0.023801 Loss_D_fake 0.009580
[281/5000][180/535][28692] Loss_D: -0.031997 Loss_G: 0.028535 Loss_D_real: -0.026226 Loss_D_fake 0.005772
[281/5000][185/535][28693] Loss_D: -0.031518 Loss_G: -0.010699 Loss_D_real: -0.004164 Loss_D_fake 0.027354
[281/5000][190/535][28694] Loss_D: -0.029878 Loss_G: 0.044491 Loss_D_real: -0.039047 Loss_D_fake -0.009169
[281/5000][195/535][28695] Loss_D: -0.029892 Loss_G: -0.010917 Loss_D_real: -0.000360 Loss_D_fake 0.029532
[281/5000][200/535][28696] Loss_D: -0.032339 Loss_G: 0.021352 Loss_D_real: -0.028963 Loss_D_fake 0.003375
[281/5000][205/535][28697] Loss_D: -0.031756 Loss_G: 0.018576 Loss_D_real: -0.023844 Loss_D_fake 0.007912
[281/5000][210/535][28698] Loss_D: -0.032440 Loss_G: 0.001920 Loss_D_real: -0.014112 Loss_D_fake 0.018328
[281/5000][215/535][28699] Loss_D: -0.031275 Loss_G: 0.032442 Loss_D_real: -0.037677 Loss_D_fake -0.006402
[281/5000][220/535][28700] Loss_D: -0.033409 Loss_G: 0.001372 Loss_D_real: -0.011039 Loss_D_fake 0.022369
[281/5000][225/535][28701] Loss_D: -0.030384 Loss_G: 0.007220 Loss_D_real: -0.009969 Loss_D_fake 0.020415
[281/5000][230/535][28702] Loss_D: -0.032506 Loss_G: 0.022693 Loss_D_real: -0.020754 Loss_D_fake 0.011751
[281/5000][235/535][28703] Loss_D: -0.032097 Loss_G: -0.004899 Loss_D_real: -0.004379 Loss_D_fake 0.027718
[281/5000][240/535][28704] Loss_D: -0.032150 Loss_G: 0.014276 Loss_D_real: -0.022675 Loss_D_fake 0.009474
[281/5000][245/535][28705] Loss_D: -0.031122 Loss_G: -0.010859 Loss_D_real: 0.000575 Loss_D_fake 0.031697
[281/5000][250/535][28706] Loss_D: -0.031678 Loss_G: 0.021374 Loss_D_real: -0.034001 Loss_D_fake -0.002323
[281/5000][255/535][28707] Loss_D: -0.033396 Loss_G: 0.029882 Loss_D_real: -0.029119 Loss_D_fake 0.004277
[281/5000][260/535][28708] Loss_D: -0.033786 Loss_G: 0.013862 Loss_D_real: -0.019876 Loss_D_fake 0.013910
[281/5000][265/535][28709] Loss_D: -0.032011 Loss_G: 0.022940 Loss_D_real: -0.028338 Loss_D_fake 0.003674
[281/5000][270/535][28710] Loss_D: -0.032514 Loss_G: 0.035296 Loss_D_real: -0.027536 Loss_D_fake 0.004978
[281/5000][275/535][28711] Loss_D: -0.033044 Loss_G: 0.000048 Loss_D_real: -0.002166 Loss_D_fake 0.030878
[281/5000][280/535][28712] Loss_D: -0.032668 Loss_G: 0.029428 Loss_D_real: -0.029172 Loss_D_fake 0.003496
[281/5000][285/535][28713] Loss_D: -0.034181 Loss_G: 0.004134 Loss_D_real: -0.004252 Loss_D_fake 0.029929
[281/5000][290/535][28714] Loss_D: -0.031503 Loss_G: 0.021305 Loss_D_real: -0.024015 Loss_D_fake 0.007488
[281/5000][295/535][28715] Loss_D: -0.033971 Loss_G: 0.002629 Loss_D_real: -0.007841 Loss_D_fake 0.026130
[281/5000][300/535][28716] Loss_D: -0.032088 Loss_G: 0.028819 Loss_D_real: -0.022905 Loss_D_fake 0.009184
[281/5000][305/535][28717] Loss_D: -0.032738 Loss_G: 0.001216 Loss_D_real: -0.011837 Loss_D_fake 0.020901
[281/5000][310/535][28718] Loss_D: -0.031652 Loss_G: 0.025480 Loss_D_real: -0.028118 Loss_D_fake 0.003534
[281/5000][315/535][28719] Loss_D: -0.032234 Loss_G: 0.020832 Loss_D_real: -0.023499 Loss_D_fake 0.008736
[281/5000][320/535][28720] Loss_D: -0.031635 Loss_G: 0.002052 Loss_D_real: -0.001867 Loss_D_fake 0.029768
[281/5000][325/535][28721] Loss_D: -0.032561 Loss_G: 0.014407 Loss_D_real: -0.016561 Loss_D_fake 0.016000
[281/5000][330/535][28722] Loss_D: -0.031751 Loss_G: 0.023041 Loss_D_real: -0.029297 Loss_D_fake 0.002453
[281/5000][335/535][28723] Loss_D: -0.032639 Loss_G: 0.004869 Loss_D_real: -0.016352 Loss_D_fake 0.016287
[281/5000][340/535][28724] Loss_D: -0.033139 Loss_G: 0.025901 Loss_D_real: -0.023724 Loss_D_fake 0.009415
[281/5000][345/535][28725] Loss_D: -0.031781 Loss_G: -0.006595 Loss_D_real: -0.007911 Loss_D_fake 0.023869
[281/5000][350/535][28726] Loss_D: -0.031207 Loss_G: 0.037942 Loss_D_real: -0.027008 Loss_D_fake 0.004199
[281/5000][355/535][28727] Loss_D: -0.031928 Loss_G: 0.023231 Loss_D_real: -0.030462 Loss_D_fake 0.001467
[281/5000][360/535][28728] Loss_D: -0.033064 Loss_G: 0.005671 Loss_D_real: -0.010848 Loss_D_fake 0.022216
[281/5000][365/535][28729] Loss_D: -0.032506 Loss_G: 0.026033 Loss_D_real: -0.024322 Loss_D_fake 0.008185
[281/5000][370/535][28730] Loss_D: -0.032444 Loss_G: 0.019541 Loss_D_real: -0.017743 Loss_D_fake 0.014701
[281/5000][375/535][28731] Loss_D: -0.032002 Loss_G: 0.034526 Loss_D_real: -0.033823 Loss_D_fake -0.001821
[281/5000][380/535][28732] Loss_D: -0.031623 Loss_G: 0.027304 Loss_D_real: -0.028896 Loss_D_fake 0.002727
[281/5000][385/535][28733] Loss_D: -0.033438 Loss_G: 0.004475 Loss_D_real: -0.019301 Loss_D_fake 0.014137
[281/5000][390/535][28734] Loss_D: -0.032682 Loss_G: 0.032547 Loss_D_real: -0.026493 Loss_D_fake 0.006189
[281/5000][395/535][28735] Loss_D: -0.032909 Loss_G: 0.031945 Loss_D_real: -0.031714 Loss_D_fake 0.001196
[281/5000][400/535][28736] Loss_D: -0.033559 Loss_G: 0.009240 Loss_D_real: -0.012457 Loss_D_fake 0.021102
[281/5000][405/535][28737] Loss_D: -0.030048 Loss_G: 0.047842 Loss_D_real: -0.040098 Loss_D_fake -0.010050
[281/5000][410/535][28738] Loss_D: -0.031868 Loss_G: -0.014638 Loss_D_real: 0.001414 Loss_D_fake 0.033282
[281/5000][415/535][28739] Loss_D: -0.033220 Loss_G: 0.020127 Loss_D_real: -0.029037 Loss_D_fake 0.004183
[281/5000][420/535][28740] Loss_D: -0.031407 Loss_G: -0.000937 Loss_D_real: -0.015842 Loss_D_fake 0.015564
[281/5000][425/535][28741] Loss_D: -0.032362 Loss_G: 0.010277 Loss_D_real: -0.017061 Loss_D_fake 0.015301
[281/5000][430/535][28742] Loss_D: -0.032803 Loss_G: 0.020653 Loss_D_real: -0.023623 Loss_D_fake 0.009181
[281/5000][435/535][28743] Loss_D: -0.033113 Loss_G: 0.019878 Loss_D_real: -0.021323 Loss_D_fake 0.011790
[281/5000][440/535][28744] Loss_D: -0.033286 Loss_G: 0.010205 Loss_D_real: -0.015819 Loss_D_fake 0.017467
[281/5000][445/535][28745] Loss_D: -0.032611 Loss_G: 0.022141 Loss_D_real: -0.024173 Loss_D_fake 0.008438
[281/5000][450/535][28746] Loss_D: -0.034199 Loss_G: 0.020650 Loss_D_real: -0.014272 Loss_D_fake 0.019926
[281/5000][455/535][28747] Loss_D: -0.031834 Loss_G: 0.003405 Loss_D_real: -0.004846 Loss_D_fake 0.026988
[281/5000][460/535][28748] Loss_D: -0.032043 Loss_G: 0.039623 Loss_D_real: -0.034974 Loss_D_fake -0.002931
[281/5000][465/535][28749] Loss_D: -0.031762 Loss_G: 0.015539 Loss_D_real: -0.008135 Loss_D_fake 0.023627
[281/5000][470/535][28750] Loss_D: -0.031578 Loss_G: 0.009436 Loss_D_real: -0.019885 Loss_D_fake 0.011693
[281/5000][475/535][28751] Loss_D: -0.031991 Loss_G: 0.002704 Loss_D_real: -0.014472 Loss_D_fake 0.017519
[281/5000][480/535][28752] Loss_D: -0.030745 Loss_G: 0.040447 Loss_D_real: -0.031321 Loss_D_fake -0.000576
[281/5000][485/535][28753] Loss_D: -0.031829 Loss_G: 0.003901 Loss_D_real: -0.011764 Loss_D_fake 0.020065
[281/5000][490/535][28754] Loss_D: -0.031624 Loss_G: 0.039142 Loss_D_real: -0.030862 Loss_D_fake 0.000761
[281/5000][495/535][28755] Loss_D: -0.033129 Loss_G: 0.002578 Loss_D_real: -0.016366 Loss_D_fake 0.016762
[281/5000][500/535][28756] Loss_D: -0.032041 Loss_G: 0.043237 Loss_D_real: -0.033289 Loss_D_fake -0.001248
[281/5000][505/535][28757] Loss_D: -0.031802 Loss_G: 0.007524 Loss_D_real: -0.012789 Loss_D_fake 0.019013
[281/5000][510/535][28758] Loss_D: -0.031051 Loss_G: 0.009478 Loss_D_real: -0.022467 Loss_D_fake 0.008584
[281/5000][515/535][28759] Loss_D: -0.030338 Loss_G: 0.046357 Loss_D_real: -0.038308 Loss_D_fake -0.007970
[281/5000][520/535][28760] Loss_D: -0.030096 Loss_G: -0.016823 Loss_D_real: -0.000939 Loss_D_fake 0.029158
[281/5000][525/535][28761] Loss_D: -0.033465 Loss_G: 0.022106 Loss_D_real: -0.030241 Loss_D_fake 0.003225
[281/5000][530/535][28762] Loss_D: -0.032239 Loss_G: 0.024033 Loss_D_real: -0.022765 Loss_D_fake 0.009474
[281/5000][535/535][28763] Loss_D: -0.033287 Loss_G: 0.022170 Loss_D_real: -0.036285 Loss_D_fake -0.002998
[282/5000][5/535][28764] Loss_D: -0.030702 Loss_G: 0.036594 Loss_D_real: -0.029903 Loss_D_fake 0.000799
[282/5000][10/535][28765] Loss_D: -0.032207 Loss_G: 0.031026 Loss_D_real: -0.023429 Loss_D_fake 0.008778
[282/5000][15/535][28766] Loss_D: -0.032737 Loss_G: -0.003225 Loss_D_real: -0.003223 Loss_D_fake 0.029515
[282/5000][20/535][28767] Loss_D: -0.030390 Loss_G: 0.024746 Loss_D_real: -0.024110 Loss_D_fake 0.006280
[282/5000][25/535][28768] Loss_D: -0.032697 Loss_G: 0.016920 Loss_D_real: -0.017863 Loss_D_fake 0.014834
[282/5000][30/535][28769] Loss_D: -0.033658 Loss_G: 0.006936 Loss_D_real: -0.015996 Loss_D_fake 0.017662
[282/5000][35/535][28770] Loss_D: -0.032501 Loss_G: 0.037001 Loss_D_real: -0.035101 Loss_D_fake -0.002600
[282/5000][40/535][28771] Loss_D: -0.032765 Loss_G: 0.017912 Loss_D_real: -0.019121 Loss_D_fake 0.013644
[282/5000][45/535][28772] Loss_D: -0.031436 Loss_G: 0.034345 Loss_D_real: -0.033410 Loss_D_fake -0.001974
[282/5000][50/535][28773] Loss_D: -0.033276 Loss_G: 0.000030 Loss_D_real: -0.011281 Loss_D_fake 0.021995
[282/5000][55/535][28774] Loss_D: -0.033998 Loss_G: 0.020184 Loss_D_real: -0.014340 Loss_D_fake 0.019658
[282/5000][60/535][28775] Loss_D: -0.031929 Loss_G: -0.002569 Loss_D_real: 0.001314 Loss_D_fake 0.033242
[282/5000][65/535][28776] Loss_D: -0.031222 Loss_G: 0.000457 Loss_D_real: -0.009866 Loss_D_fake 0.021357
[282/5000][70/535][28777] Loss_D: -0.033267 Loss_G: 0.013198 Loss_D_real: -0.014613 Loss_D_fake 0.018654
[282/5000][75/535][28778] Loss_D: -0.032344 Loss_G: -0.013609 Loss_D_real: -0.005907 Loss_D_fake 0.026437
[282/5000][80/535][28779] Loss_D: -0.031837 Loss_G: 0.017135 Loss_D_real: -0.022170 Loss_D_fake 0.009667
[282/5000][85/535][28780] Loss_D: -0.031623 Loss_G: 0.010692 Loss_D_real: -0.020512 Loss_D_fake 0.011111
[282/5000][90/535][28781] Loss_D: -0.032364 Loss_G: 0.015569 Loss_D_real: -0.022071 Loss_D_fake 0.010293
[282/5000][95/535][28782] Loss_D: -0.033601 Loss_G: 0.016576 Loss_D_real: -0.024865 Loss_D_fake 0.008736
[282/5000][100/535][28783] Loss_D: -0.033564 Loss_G: 0.024683 Loss_D_real: -0.023566 Loss_D_fake 0.009999
[282/5000][105/535][28784] Loss_D: -0.032579 Loss_G: 0.037583 Loss_D_real: -0.024547 Loss_D_fake 0.008032
[282/5000][110/535][28785] Loss_D: -0.032847 Loss_G: 0.002173 Loss_D_real: -0.018241 Loss_D_fake 0.014606
[282/5000][115/535][28786] Loss_D: -0.033410 Loss_G: 0.028364 Loss_D_real: -0.029539 Loss_D_fake 0.003871
[282/5000][120/535][28787] Loss_D: -0.031774 Loss_G: 0.020059 Loss_D_real: -0.020505 Loss_D_fake 0.011269
[282/5000][125/535][28788] Loss_D: -0.033038 Loss_G: 0.002836 Loss_D_real: -0.012078 Loss_D_fake 0.020961
[282/5000][130/535][28789] Loss_D: -0.031581 Loss_G: 0.041888 Loss_D_real: -0.042458 Loss_D_fake -0.010877
[282/5000][135/535][28790] Loss_D: -0.031643 Loss_G: 0.002585 Loss_D_real: -0.010757 Loss_D_fake 0.020886
[282/5000][140/535][28791] Loss_D: -0.031010 Loss_G: 0.028182 Loss_D_real: -0.027561 Loss_D_fake 0.003449
[282/5000][145/535][28792] Loss_D: -0.032908 Loss_G: 0.019937 Loss_D_real: -0.029348 Loss_D_fake 0.003560
[282/5000][150/535][28793] Loss_D: -0.032286 Loss_G: 0.008692 Loss_D_real: -0.025445 Loss_D_fake 0.006841
[282/5000][155/535][28794] Loss_D: -0.030333 Loss_G: 0.034731 Loss_D_real: -0.021152 Loss_D_fake 0.009181
[282/5000][160/535][28795] Loss_D: -0.032230 Loss_G: 0.013817 Loss_D_real: -0.024947 Loss_D_fake 0.007283
[282/5000][165/535][28796] Loss_D: -0.033116 Loss_G: 0.028301 Loss_D_real: -0.030295 Loss_D_fake 0.002821
[282/5000][170/535][28797] Loss_D: -0.031965 Loss_G: -0.009141 Loss_D_real: 0.002543 Loss_D_fake 0.034508
[282/5000][175/535][28798] Loss_D: -0.030585 Loss_G: 0.001328 Loss_D_real: -0.005145 Loss_D_fake 0.025440
[282/5000][180/535][28799] Loss_D: -0.032343 Loss_G: 0.008452 Loss_D_real: -0.014724 Loss_D_fake 0.017618
[282/5000][185/535][28800] Loss_D: -0.032948 Loss_G: 0.003049 Loss_D_real: -0.016302 Loss_D_fake 0.016646
[282/5000][190/535][28801] Loss_D: -0.032109 Loss_G: 0.034971 Loss_D_real: -0.024089 Loss_D_fake 0.008021
[282/5000][195/535][28802] Loss_D: -0.032786 Loss_G: 0.013769 Loss_D_real: -0.013120 Loss_D_fake 0.019665
[282/5000][200/535][28803] Loss_D: -0.030381 Loss_G: 0.041800 Loss_D_real: -0.035279 Loss_D_fake -0.004898
[282/5000][205/535][28804] Loss_D: -0.032771 Loss_G: 0.024246 Loss_D_real: -0.020681 Loss_D_fake 0.012091
[282/5000][210/535][28805] Loss_D: -0.032801 Loss_G: 0.039718 Loss_D_real: -0.036898 Loss_D_fake -0.004097
[282/5000][215/535][28806] Loss_D: -0.031584 Loss_G: -0.013772 Loss_D_real: 0.000490 Loss_D_fake 0.032074
[282/5000][220/535][28807] Loss_D: -0.032958 Loss_G: 0.009539 Loss_D_real: -0.028444 Loss_D_fake 0.004514
[282/5000][225/535][28808] Loss_D: -0.032832 Loss_G: 0.033978 Loss_D_real: -0.030117 Loss_D_fake 0.002716
[282/5000][230/535][28809] Loss_D: -0.033912 Loss_G: 0.008723 Loss_D_real: -0.018601 Loss_D_fake 0.015310
[282/5000][235/535][28810] Loss_D: -0.032316 Loss_G: 0.018376 Loss_D_real: -0.022846 Loss_D_fake 0.009470
[282/5000][240/535][28811] Loss_D: -0.034577 Loss_G: -0.000818 Loss_D_real: -0.013244 Loss_D_fake 0.021333
[282/5000][245/535][28812] Loss_D: -0.031443 Loss_G: 0.042791 Loss_D_real: -0.039313 Loss_D_fake -0.007870
[282/5000][250/535][28813] Loss_D: -0.032485 Loss_G: -0.005775 Loss_D_real: 0.004030 Loss_D_fake 0.036515
[282/5000][255/535][28814] Loss_D: -0.032695 Loss_G: 0.028677 Loss_D_real: -0.030462 Loss_D_fake 0.002232
[282/5000][260/535][28815] Loss_D: -0.032745 Loss_G: 0.007253 Loss_D_real: -0.015036 Loss_D_fake 0.017709
[282/5000][265/535][28816] Loss_D: -0.030894 Loss_G: 0.028942 Loss_D_real: -0.032234 Loss_D_fake -0.001340
[282/5000][270/535][28817] Loss_D: -0.031775 Loss_G: 0.028857 Loss_D_real: -0.032764 Loss_D_fake -0.000989
[282/5000][275/535][28818] Loss_D: -0.032434 Loss_G: 0.003356 Loss_D_real: -0.015330 Loss_D_fake 0.017104
[282/5000][280/535][28819] Loss_D: -0.032386 Loss_G: 0.033064 Loss_D_real: -0.038685 Loss_D_fake -0.006299
[282/5000][285/535][28820] Loss_D: -0.032990 Loss_G: 0.023641 Loss_D_real: -0.034212 Loss_D_fake -0.001222
[282/5000][290/535][28821] Loss_D: -0.032930 Loss_G: 0.028686 Loss_D_real: -0.030049 Loss_D_fake 0.002880
[282/5000][295/535][28822] Loss_D: -0.032257 Loss_G: 0.016326 Loss_D_real: -0.013392 Loss_D_fake 0.018865
[282/5000][300/535][28823] Loss_D: -0.030859 Loss_G: 0.005199 Loss_D_real: -0.017268 Loss_D_fake 0.013591
[282/5000][305/535][28824] Loss_D: -0.031193 Loss_G: 0.016310 Loss_D_real: -0.012673 Loss_D_fake 0.018520
[282/5000][310/535][28825] Loss_D: -0.032390 Loss_G: 0.004701 Loss_D_real: -0.018357 Loss_D_fake 0.014034
[282/5000][315/535][28826] Loss_D: -0.030866 Loss_G: 0.024390 Loss_D_real: -0.031467 Loss_D_fake -0.000601
[282/5000][320/535][28827] Loss_D: -0.031883 Loss_G: 0.035373 Loss_D_real: -0.029131 Loss_D_fake 0.002752
[282/5000][325/535][28828] Loss_D: -0.033953 Loss_G: 0.012646 Loss_D_real: -0.014758 Loss_D_fake 0.019195
[282/5000][330/535][28829] Loss_D: -0.032318 Loss_G: 0.038201 Loss_D_real: -0.027405 Loss_D_fake 0.004913
[282/5000][335/535][28830] Loss_D: -0.031889 Loss_G: -0.008000 Loss_D_real: -0.004872 Loss_D_fake 0.027016
[282/5000][340/535][28831] Loss_D: -0.032183 Loss_G: 0.022301 Loss_D_real: -0.027585 Loss_D_fake 0.004597
[282/5000][345/535][28832] Loss_D: -0.032724 Loss_G: 0.024849 Loss_D_real: -0.031620 Loss_D_fake 0.001104
[282/5000][350/535][28833] Loss_D: -0.032138 Loss_G: 0.026796 Loss_D_real: -0.027235 Loss_D_fake 0.004903
[282/5000][355/535][28834] Loss_D: -0.032095 Loss_G: -0.015272 Loss_D_real: -0.001045 Loss_D_fake 0.031050
[282/5000][360/535][28835] Loss_D: -0.030688 Loss_G: 0.011043 Loss_D_real: -0.015191 Loss_D_fake 0.015497
[282/5000][365/535][28836] Loss_D: -0.033569 Loss_G: 0.027625 Loss_D_real: -0.027170 Loss_D_fake 0.006400
[282/5000][370/535][28837] Loss_D: -0.033473 Loss_G: 0.019795 Loss_D_real: -0.024980 Loss_D_fake 0.008492
[282/5000][375/535][28838] Loss_D: -0.031687 Loss_G: 0.021660 Loss_D_real: -0.030515 Loss_D_fake 0.001172
[282/5000][380/535][28839] Loss_D: -0.033553 Loss_G: 0.005598 Loss_D_real: -0.010092 Loss_D_fake 0.023461
[282/5000][385/535][28840] Loss_D: -0.033510 Loss_G: 0.012719 Loss_D_real: -0.012454 Loss_D_fake 0.021056
[282/5000][390/535][28841] Loss_D: -0.031727 Loss_G: 0.004177 Loss_D_real: -0.005759 Loss_D_fake 0.025967
[282/5000][395/535][28842] Loss_D: -0.030495 Loss_G: 0.034060 Loss_D_real: -0.036748 Loss_D_fake -0.006252
[282/5000][400/535][28843] Loss_D: -0.032630 Loss_G: 0.027021 Loss_D_real: -0.024526 Loss_D_fake 0.008104
[282/5000][405/535][28844] Loss_D: -0.033715 Loss_G: 0.025157 Loss_D_real: -0.028378 Loss_D_fake 0.005337
[282/5000][410/535][28845] Loss_D: -0.033047 Loss_G: 0.015162 Loss_D_real: -0.017260 Loss_D_fake 0.015787
[282/5000][415/535][28846] Loss_D: -0.033815 Loss_G: 0.024125 Loss_D_real: -0.022478 Loss_D_fake 0.011338
[282/5000][420/535][28847] Loss_D: -0.029930 Loss_G: -0.025288 Loss_D_real: 0.007725 Loss_D_fake 0.037655
[282/5000][425/535][28848] Loss_D: -0.030069 Loss_G: 0.033871 Loss_D_real: -0.034300 Loss_D_fake -0.004231
[282/5000][430/535][28849] Loss_D: -0.031586 Loss_G: -0.003432 Loss_D_real: 0.000137 Loss_D_fake 0.031723
[282/5000][435/535][28850] Loss_D: -0.031585 Loss_G: 0.015160 Loss_D_real: -0.024643 Loss_D_fake 0.006942
[282/5000][440/535][28851] Loss_D: -0.031969 Loss_G: 0.015262 Loss_D_real: -0.018232 Loss_D_fake 0.013737
[282/5000][445/535][28852] Loss_D: -0.031231 Loss_G: -0.010597 Loss_D_real: -0.001246 Loss_D_fake 0.029985
[282/5000][450/535][28853] Loss_D: -0.032670 Loss_G: 0.008833 Loss_D_real: -0.013015 Loss_D_fake 0.019655
[282/5000][455/535][28854] Loss_D: -0.031931 Loss_G: 0.033112 Loss_D_real: -0.030477 Loss_D_fake 0.001454
[282/5000][460/535][28855] Loss_D: -0.033019 Loss_G: 0.010535 Loss_D_real: -0.019984 Loss_D_fake 0.013035
[282/5000][465/535][28856] Loss_D: -0.031712 Loss_G: 0.027076 Loss_D_real: -0.031944 Loss_D_fake -0.000233
[282/5000][470/535][28857] Loss_D: -0.032926 Loss_G: 0.016858 Loss_D_real: -0.023642 Loss_D_fake 0.009284
[282/5000][475/535][28858] Loss_D: -0.032328 Loss_G: 0.030688 Loss_D_real: -0.027597 Loss_D_fake 0.004731
[282/5000][480/535][28859] Loss_D: -0.033077 Loss_G: 0.000290 Loss_D_real: -0.012121 Loss_D_fake 0.020956
[282/5000][485/535][28860] Loss_D: -0.031286 Loss_G: 0.031752 Loss_D_real: -0.043416 Loss_D_fake -0.012130
[282/5000][490/535][28861] Loss_D: -0.033337 Loss_G: -0.001143 Loss_D_real: -0.006529 Loss_D_fake 0.026809
[282/5000][495/535][28862] Loss_D: -0.032094 Loss_G: 0.033678 Loss_D_real: -0.034107 Loss_D_fake -0.002014
[282/5000][500/535][28863] Loss_D: -0.032244 Loss_G: 0.035470 Loss_D_real: -0.033197 Loss_D_fake -0.000953
[282/5000][505/535][28864] Loss_D: -0.032849 Loss_G: 0.005171 Loss_D_real: -0.016097 Loss_D_fake 0.016751
[282/5000][510/535][28865] Loss_D: -0.033195 Loss_G: 0.023612 Loss_D_real: -0.026518 Loss_D_fake 0.006676
[282/5000][515/535][28866] Loss_D: -0.032238 Loss_G: 0.024081 Loss_D_real: -0.033372 Loss_D_fake -0.001134
[282/5000][520/535][28867] Loss_D: -0.035146 Loss_G: 0.005085 Loss_D_real: -0.024077 Loss_D_fake 0.011069
[282/5000][525/535][28868] Loss_D: -0.033126 Loss_G: 0.023900 Loss_D_real: -0.021685 Loss_D_fake 0.011441
[282/5000][530/535][28869] Loss_D: -0.032759 Loss_G: 0.008179 Loss_D_real: -0.025866 Loss_D_fake 0.006893
[282/5000][535/535][28870] Loss_D: -0.031550 Loss_G: 0.037742 Loss_D_real: -0.033347 Loss_D_fake -0.001797
[283/5000][5/535][28871] Loss_D: -0.032251 Loss_G: 0.019639 Loss_D_real: -0.014851 Loss_D_fake 0.017400
[283/5000][10/535][28872] Loss_D: -0.033388 Loss_G: 0.018392 Loss_D_real: -0.024521 Loss_D_fake 0.008867
[283/5000][15/535][28873] Loss_D: -0.032008 Loss_G: -0.015774 Loss_D_real: 0.002790 Loss_D_fake 0.034799
[283/5000][20/535][28874] Loss_D: -0.031727 Loss_G: 0.026789 Loss_D_real: -0.026127 Loss_D_fake 0.005600
[283/5000][25/535][28875] Loss_D: -0.032485 Loss_G: 0.021816 Loss_D_real: -0.011790 Loss_D_fake 0.020695
[283/5000][30/535][28876] Loss_D: -0.031728 Loss_G: -0.000757 Loss_D_real: -0.010120 Loss_D_fake 0.021608
[283/5000][35/535][28877] Loss_D: -0.032713 Loss_G: -0.000971 Loss_D_real: -0.008673 Loss_D_fake 0.024039
[283/5000][40/535][28878] Loss_D: -0.034658 Loss_G: 0.009844 Loss_D_real: -0.021096 Loss_D_fake 0.013562
[283/5000][45/535][28879] Loss_D: -0.033819 Loss_G: 0.019313 Loss_D_real: -0.015079 Loss_D_fake 0.018739
[283/5000][50/535][28880] Loss_D: -0.031655 Loss_G: 0.022037 Loss_D_real: -0.024151 Loss_D_fake 0.007504
[283/5000][55/535][28881] Loss_D: -0.034130 Loss_G: 0.019873 Loss_D_real: -0.022787 Loss_D_fake 0.011343
[283/5000][60/535][28882] Loss_D: -0.033138 Loss_G: 0.021475 Loss_D_real: -0.028812 Loss_D_fake 0.004326
[283/5000][65/535][28883] Loss_D: -0.032607 Loss_G: 0.019167 Loss_D_real: -0.024545 Loss_D_fake 0.008063
[283/5000][70/535][28884] Loss_D: -0.032432 Loss_G: 0.022424 Loss_D_real: -0.029862 Loss_D_fake 0.002570
[283/5000][75/535][28885] Loss_D: -0.032480 Loss_G: 0.024837 Loss_D_real: -0.021989 Loss_D_fake 0.010491
[283/5000][80/535][28886] Loss_D: -0.032679 Loss_G: 0.015854 Loss_D_real: -0.014721 Loss_D_fake 0.017957
[283/5000][85/535][28887] Loss_D: -0.032855 Loss_G: 0.008951 Loss_D_real: -0.016003 Loss_D_fake 0.016852
[283/5000][90/535][28888] Loss_D: -0.032887 Loss_G: 0.026523 Loss_D_real: -0.031124 Loss_D_fake 0.001763
[283/5000][95/535][28889] Loss_D: -0.033839 Loss_G: 0.034994 Loss_D_real: -0.030525 Loss_D_fake 0.003314
[283/5000][100/535][28890] Loss_D: -0.033202 Loss_G: 0.030654 Loss_D_real: -0.028706 Loss_D_fake 0.004495
[283/5000][105/535][28891] Loss_D: -0.031958 Loss_G: -0.007617 Loss_D_real: -0.003026 Loss_D_fake 0.028932
[283/5000][110/535][28892] Loss_D: -0.030977 Loss_G: 0.040159 Loss_D_real: -0.042913 Loss_D_fake -0.011936
[283/5000][115/535][28893] Loss_D: -0.032953 Loss_G: 0.036511 Loss_D_real: -0.038599 Loss_D_fake -0.005646
[283/5000][120/535][28894] Loss_D: -0.031943 Loss_G: 0.020511 Loss_D_real: -0.027387 Loss_D_fake 0.004555
[283/5000][125/535][28895] Loss_D: -0.032451 Loss_G: 0.019343 Loss_D_real: -0.021407 Loss_D_fake 0.011044
[283/5000][130/535][28896] Loss_D: -0.031974 Loss_G: -0.006412 Loss_D_real: 0.002588 Loss_D_fake 0.034562
[283/5000][135/535][28897] Loss_D: -0.031235 Loss_G: 0.023003 Loss_D_real: -0.020063 Loss_D_fake 0.011172
[283/5000][140/535][28898] Loss_D: -0.033347 Loss_G: 0.014461 Loss_D_real: -0.015651 Loss_D_fake 0.017696
[283/5000][145/535][28899] Loss_D: -0.031518 Loss_G: 0.005653 Loss_D_real: -0.014453 Loss_D_fake 0.017065
[283/5000][150/535][28900] Loss_D: -0.032407 Loss_G: 0.022630 Loss_D_real: -0.023318 Loss_D_fake 0.009089
[283/5000][155/535][28901] Loss_D: -0.034146 Loss_G: -0.000759 Loss_D_real: -0.007245 Loss_D_fake 0.026901
[283/5000][160/535][28902] Loss_D: -0.030932 Loss_G: 0.028926 Loss_D_real: -0.040112 Loss_D_fake -0.009181
[283/5000][165/535][28903] Loss_D: -0.033791 Loss_G: 0.026765 Loss_D_real: -0.018382 Loss_D_fake 0.015409
[283/5000][170/535][28904] Loss_D: -0.033578 Loss_G: 0.016152 Loss_D_real: -0.022160 Loss_D_fake 0.011418
[283/5000][175/535][28905] Loss_D: -0.031773 Loss_G: 0.028074 Loss_D_real: -0.025006 Loss_D_fake 0.006767
[283/5000][180/535][28906] Loss_D: -0.032918 Loss_G: 0.015354 Loss_D_real: -0.017777 Loss_D_fake 0.015141
[283/5000][185/535][28907] Loss_D: -0.034216 Loss_G: 0.010677 Loss_D_real: -0.019207 Loss_D_fake 0.015009
[283/5000][190/535][28908] Loss_D: -0.031913 Loss_G: 0.008504 Loss_D_real: -0.005021 Loss_D_fake 0.026893
[283/5000][195/535][28909] Loss_D: -0.032145 Loss_G: 0.024770 Loss_D_real: -0.029237 Loss_D_fake 0.002908
[283/5000][200/535][28910] Loss_D: -0.031263 Loss_G: 0.010356 Loss_D_real: -0.013175 Loss_D_fake 0.018089
[283/5000][205/535][28911] Loss_D: -0.031248 Loss_G: 0.041474 Loss_D_real: -0.034236 Loss_D_fake -0.002987
[283/5000][210/535][28912] Loss_D: -0.031081 Loss_G: -0.010621 Loss_D_real: -0.000296 Loss_D_fake 0.030785
[283/5000][215/535][28913] Loss_D: -0.032163 Loss_G: 0.025884 Loss_D_real: -0.025735 Loss_D_fake 0.006428
[283/5000][220/535][28914] Loss_D: -0.032383 Loss_G: 0.028083 Loss_D_real: -0.036718 Loss_D_fake -0.004335
[283/5000][225/535][28915] Loss_D: -0.032185 Loss_G: 0.011991 Loss_D_real: -0.009449 Loss_D_fake 0.022736
[283/5000][230/535][28916] Loss_D: -0.031742 Loss_G: 0.022318 Loss_D_real: -0.021022 Loss_D_fake 0.010720
[283/5000][235/535][28917] Loss_D: -0.030812 Loss_G: -0.008134 Loss_D_real: 0.006966 Loss_D_fake 0.037778
[283/5000][240/535][28918] Loss_D: -0.031079 Loss_G: 0.025939 Loss_D_real: -0.030961 Loss_D_fake 0.000118
[283/5000][245/535][28919] Loss_D: -0.031686 Loss_G: 0.018178 Loss_D_real: -0.020874 Loss_D_fake 0.010812
[283/5000][250/535][28920] Loss_D: -0.032174 Loss_G: 0.013740 Loss_D_real: -0.028147 Loss_D_fake 0.004027
[283/5000][255/535][28921] Loss_D: -0.032959 Loss_G: -0.001851 Loss_D_real: -0.003840 Loss_D_fake 0.029119
[283/5000][260/535][28922] Loss_D: -0.032874 Loss_G: 0.027498 Loss_D_real: -0.022211 Loss_D_fake 0.010663
[283/5000][265/535][28923] Loss_D: -0.032743 Loss_G: -0.011349 Loss_D_real: -0.002795 Loss_D_fake 0.029948
[283/5000][270/535][28924] Loss_D: -0.032038 Loss_G: 0.026130 Loss_D_real: -0.031701 Loss_D_fake 0.000337
[283/5000][275/535][28925] Loss_D: -0.031168 Loss_G: 0.038093 Loss_D_real: -0.034039 Loss_D_fake -0.002871
[283/5000][280/535][28926] Loss_D: -0.031702 Loss_G: -0.007256 Loss_D_real: -0.004161 Loss_D_fake 0.027541
[283/5000][285/535][28927] Loss_D: -0.031672 Loss_G: 0.024967 Loss_D_real: -0.030965 Loss_D_fake 0.000707
[283/5000][290/535][28928] Loss_D: -0.032871 Loss_G: -0.001981 Loss_D_real: -0.008836 Loss_D_fake 0.024035
[283/5000][295/535][28929] Loss_D: -0.032584 Loss_G: 0.021328 Loss_D_real: -0.020587 Loss_D_fake 0.011996
[283/5000][300/535][28930] Loss_D: -0.031885 Loss_G: 0.029530 Loss_D_real: -0.028867 Loss_D_fake 0.003018
[283/5000][305/535][28931] Loss_D: -0.032416 Loss_G: 0.029588 Loss_D_real: -0.031824 Loss_D_fake 0.000592
[283/5000][310/535][28932] Loss_D: -0.033614 Loss_G: -0.002301 Loss_D_real: -0.003690 Loss_D_fake 0.029924
[283/5000][315/535][28933] Loss_D: -0.031480 Loss_G: 0.017753 Loss_D_real: -0.028995 Loss_D_fake 0.002486
[283/5000][320/535][28934] Loss_D: -0.032461 Loss_G: -0.017861 Loss_D_real: -0.004300 Loss_D_fake 0.028161
[283/5000][325/535][28935] Loss_D: -0.031241 Loss_G: 0.023769 Loss_D_real: -0.027953 Loss_D_fake 0.003288
[283/5000][330/535][28936] Loss_D: -0.030339 Loss_G: 0.010930 Loss_D_real: -0.025528 Loss_D_fake 0.004810
[283/5000][335/535][28937] Loss_D: -0.032773 Loss_G: 0.032585 Loss_D_real: -0.030835 Loss_D_fake 0.001938
[283/5000][340/535][28938] Loss_D: -0.032398 Loss_G: 0.002772 Loss_D_real: -0.005436 Loss_D_fake 0.026962
[283/5000][345/535][28939] Loss_D: -0.030535 Loss_G: -0.001116 Loss_D_real: -0.010254 Loss_D_fake 0.020280
[283/5000][350/535][28940] Loss_D: -0.031288 Loss_G: 0.001682 Loss_D_real: -0.011375 Loss_D_fake 0.019913
[283/5000][355/535][28941] Loss_D: -0.032257 Loss_G: 0.008119 Loss_D_real: -0.013853 Loss_D_fake 0.018404
[283/5000][360/535][28942] Loss_D: -0.031591 Loss_G: 0.026168 Loss_D_real: -0.026447 Loss_D_fake 0.005144
[283/5000][365/535][28943] Loss_D: -0.031263 Loss_G: 0.019884 Loss_D_real: -0.029448 Loss_D_fake 0.001814
[283/5000][370/535][28944] Loss_D: -0.032168 Loss_G: 0.015257 Loss_D_real: -0.018207 Loss_D_fake 0.013961
[283/5000][375/535][28945] Loss_D: -0.033335 Loss_G: 0.030243 Loss_D_real: -0.026356 Loss_D_fake 0.006978
[283/5000][380/535][28946] Loss_D: -0.031589 Loss_G: -0.001601 Loss_D_real: -0.001404 Loss_D_fake 0.030185
[283/5000][385/535][28947] Loss_D: -0.029096 Loss_G: 0.030739 Loss_D_real: -0.036259 Loss_D_fake -0.007163
[283/5000][390/535][28948] Loss_D: -0.033442 Loss_G: 0.019060 Loss_D_real: -0.022206 Loss_D_fake 0.011236
[283/5000][395/535][28949] Loss_D: -0.032360 Loss_G: 0.038244 Loss_D_real: -0.039070 Loss_D_fake -0.006710
[283/5000][400/535][28950] Loss_D: -0.032965 Loss_G: 0.013542 Loss_D_real: -0.012018 Loss_D_fake 0.020947
[283/5000][405/535][28951] Loss_D: -0.032501 Loss_G: 0.006744 Loss_D_real: -0.014223 Loss_D_fake 0.018278
[283/5000][410/535][28952] Loss_D: -0.032999 Loss_G: 0.019398 Loss_D_real: -0.022044 Loss_D_fake 0.010955
[283/5000][415/535][28953] Loss_D: -0.033001 Loss_G: 0.024033 Loss_D_real: -0.026928 Loss_D_fake 0.006073
[283/5000][420/535][28954] Loss_D: -0.030995 Loss_G: 0.024973 Loss_D_real: -0.030013 Loss_D_fake 0.000982
[283/5000][425/535][28955] Loss_D: -0.034946 Loss_G: 0.005799 Loss_D_real: -0.016464 Loss_D_fake 0.018482
[283/5000][430/535][28956] Loss_D: -0.033237 Loss_G: 0.016502 Loss_D_real: -0.019481 Loss_D_fake 0.013756
[283/5000][435/535][28957] Loss_D: -0.032626 Loss_G: 0.009547 Loss_D_real: -0.010278 Loss_D_fake 0.022348
[283/5000][440/535][28958] Loss_D: -0.032896 Loss_G: 0.007130 Loss_D_real: -0.009071 Loss_D_fake 0.023826
[283/5000][445/535][28959] Loss_D: -0.030162 Loss_G: 0.034893 Loss_D_real: -0.034654 Loss_D_fake -0.004492
[283/5000][450/535][28960] Loss_D: -0.032173 Loss_G: 0.018018 Loss_D_real: -0.019915 Loss_D_fake 0.012257
[283/5000][455/535][28961] Loss_D: -0.031885 Loss_G: 0.009885 Loss_D_real: -0.020859 Loss_D_fake 0.011026
[283/5000][460/535][28962] Loss_D: -0.029777 Loss_G: 0.029931 Loss_D_real: -0.033612 Loss_D_fake -0.003835
[283/5000][465/535][28963] Loss_D: -0.033289 Loss_G: 0.006879 Loss_D_real: -0.018067 Loss_D_fake 0.015223
[283/5000][470/535][28964] Loss_D: -0.032871 Loss_G: 0.023703 Loss_D_real: -0.032808 Loss_D_fake 0.000063
[283/5000][475/535][28965] Loss_D: -0.033378 Loss_G: -0.002251 Loss_D_real: 0.000484 Loss_D_fake 0.033862
[283/5000][480/535][28966] Loss_D: -0.032705 Loss_G: 0.020534 Loss_D_real: -0.019433 Loss_D_fake 0.013272
[283/5000][485/535][28967] Loss_D: -0.032912 Loss_G: 0.007112 Loss_D_real: -0.019132 Loss_D_fake 0.013780
[283/5000][490/535][28968] Loss_D: -0.032317 Loss_G: 0.017064 Loss_D_real: -0.024149 Loss_D_fake 0.008169
[283/5000][495/535][28969] Loss_D: -0.032433 Loss_G: 0.031691 Loss_D_real: -0.036723 Loss_D_fake -0.004290
[283/5000][500/535][28970] Loss_D: -0.032362 Loss_G: 0.003130 Loss_D_real: -0.010078 Loss_D_fake 0.022284
[283/5000][505/535][28971] Loss_D: -0.032535 Loss_G: 0.008927 Loss_D_real: -0.014513 Loss_D_fake 0.018022
[283/5000][510/535][28972] Loss_D: -0.032348 Loss_G: -0.000141 Loss_D_real: -0.010850 Loss_D_fake 0.021498
[283/5000][515/535][28973] Loss_D: -0.033433 Loss_G: 0.028652 Loss_D_real: -0.028979 Loss_D_fake 0.004454
[283/5000][520/535][28974] Loss_D: -0.031612 Loss_G: -0.009243 Loss_D_real: -0.004489 Loss_D_fake 0.027123
[283/5000][525/535][28975] Loss_D: -0.031818 Loss_G: 0.019702 Loss_D_real: -0.021643 Loss_D_fake 0.010175
[283/5000][530/535][28976] Loss_D: -0.033868 Loss_G: 0.014899 Loss_D_real: -0.025080 Loss_D_fake 0.008788
[283/5000][535/535][28977] Loss_D: -0.032579 Loss_G: -0.001734 Loss_D_real: -0.007718 Loss_D_fake 0.024861
[284/5000][5/535][28978] Loss_D: -0.032688 Loss_G: 0.021621 Loss_D_real: -0.017739 Loss_D_fake 0.014949
[284/5000][10/535][28979] Loss_D: -0.031702 Loss_G: -0.022810 Loss_D_real: 0.004588 Loss_D_fake 0.036290
[284/5000][15/535][28980] Loss_D: -0.031628 Loss_G: 0.008205 Loss_D_real: -0.010545 Loss_D_fake 0.021083
[284/5000][20/535][28981] Loss_D: -0.033212 Loss_G: 0.019722 Loss_D_real: -0.020149 Loss_D_fake 0.013063
[284/5000][25/535][28982] Loss_D: -0.034233 Loss_G: 0.021904 Loss_D_real: -0.021779 Loss_D_fake 0.012454
[284/5000][30/535][28983] Loss_D: -0.033945 Loss_G: 0.008671 Loss_D_real: -0.013035 Loss_D_fake 0.020910
[284/5000][35/535][28984] Loss_D: -0.032667 Loss_G: 0.029558 Loss_D_real: -0.028698 Loss_D_fake 0.003969
[284/5000][40/535][28985] Loss_D: -0.031839 Loss_G: 0.029540 Loss_D_real: -0.029710 Loss_D_fake 0.002129
[284/5000][45/535][28986] Loss_D: -0.033458 Loss_G: -0.003139 Loss_D_real: -0.010987 Loss_D_fake 0.022471
[284/5000][50/535][28987] Loss_D: -0.031550 Loss_G: 0.036821 Loss_D_real: -0.040872 Loss_D_fake -0.009322
[284/5000][55/535][28988] Loss_D: -0.030649 Loss_G: -0.000377 Loss_D_real: -0.008155 Loss_D_fake 0.022494
[284/5000][60/535][28989] Loss_D: -0.031945 Loss_G: 0.011964 Loss_D_real: -0.012600 Loss_D_fake 0.019345
[284/5000][65/535][28990] Loss_D: -0.031643 Loss_G: 0.017893 Loss_D_real: -0.025583 Loss_D_fake 0.006060
[284/5000][70/535][28991] Loss_D: -0.031259 Loss_G: 0.036942 Loss_D_real: -0.034428 Loss_D_fake -0.003168
[284/5000][75/535][28992] Loss_D: -0.032886 Loss_G: 0.018688 Loss_D_real: -0.030887 Loss_D_fake 0.001998
[284/5000][80/535][28993] Loss_D: -0.032962 Loss_G: 0.025815 Loss_D_real: -0.029259 Loss_D_fake 0.003703
[284/5000][85/535][28994] Loss_D: -0.032065 Loss_G: 0.023160 Loss_D_real: -0.024234 Loss_D_fake 0.007831
[284/5000][90/535][28995] Loss_D: -0.032683 Loss_G: 0.002508 Loss_D_real: -0.008072 Loss_D_fake 0.024611
[284/5000][95/535][28996] Loss_D: -0.033279 Loss_G: -0.007280 Loss_D_real: -0.005718 Loss_D_fake 0.027560
[284/5000][100/535][28997] Loss_D: -0.028807 Loss_G: 0.034679 Loss_D_real: -0.031522 Loss_D_fake -0.002715
[284/5000][105/535][28998] Loss_D: -0.032752 Loss_G: 0.015896 Loss_D_real: -0.027391 Loss_D_fake 0.005362
[284/5000][110/535][28999] Loss_D: -0.032623 Loss_G: 0.017674 Loss_D_real: -0.024439 Loss_D_fake 0.008184
[284/5000][115/535][29000] Loss_D: -0.031951 Loss_G: 0.010811 Loss_D_real: -0.008455 Loss_D_fake 0.023496
[284/5000][215/535][29001] Loss_D: -0.032755 Loss_G: 0.034714 Loss_D_real: -0.024182 Loss_D_fake 0.008573
[284/5000][220/535][29002] Loss_D: -0.033713 Loss_G: 0.019253 Loss_D_real: -0.017988 Loss_D_fake 0.015725
[284/5000][225/535][29003] Loss_D: -0.031145 Loss_G: 0.026397 Loss_D_real: -0.022494 Loss_D_fake 0.008651
[284/5000][230/535][29004] Loss_D: -0.029592 Loss_G: -0.000530 Loss_D_real: 0.001840 Loss_D_fake 0.031431
[284/5000][235/535][29005] Loss_D: -0.029309 Loss_G: 0.023696 Loss_D_real: -0.018937 Loss_D_fake 0.010372
[284/5000][240/535][29006] Loss_D: -0.031493 Loss_G: 0.016377 Loss_D_real: -0.021290 Loss_D_fake 0.010203
[284/5000][245/535][29007] Loss_D: -0.030787 Loss_G: 0.029317 Loss_D_real: -0.037230 Loss_D_fake -0.006443
[284/5000][250/535][29008] Loss_D: -0.031836 Loss_G: 0.006726 Loss_D_real: -0.011944 Loss_D_fake 0.019892
[284/5000][255/535][29009] Loss_D: -0.031905 Loss_G: 0.025018 Loss_D_real: -0.025595 Loss_D_fake 0.006310
[284/5000][260/535][29010] Loss_D: -0.030962 Loss_G: 0.020851 Loss_D_real: -0.027306 Loss_D_fake 0.003656
[284/5000][265/535][29011] Loss_D: -0.031512 Loss_G: 0.027804 Loss_D_real: -0.019888 Loss_D_fake 0.011624
[284/5000][270/535][29012] Loss_D: -0.030993 Loss_G: -0.012155 Loss_D_real: -0.002383 Loss_D_fake 0.028610
[284/5000][275/535][29013] Loss_D: -0.030492 Loss_G: 0.008491 Loss_D_real: -0.015899 Loss_D_fake 0.014593
[284/5000][280/535][29014] Loss_D: -0.030424 Loss_G: 0.037912 Loss_D_real: -0.042880 Loss_D_fake -0.012456
[284/5000][285/535][29015] Loss_D: -0.033142 Loss_G: 0.013264 Loss_D_real: -0.016382 Loss_D_fake 0.016760
[284/5000][290/535][29016] Loss_D: -0.032060 Loss_G: 0.016706 Loss_D_real: -0.023454 Loss_D_fake 0.008606
[284/5000][295/535][29017] Loss_D: -0.034068 Loss_G: 0.017318 Loss_D_real: -0.023089 Loss_D_fake 0.010978
[284/5000][300/535][29018] Loss_D: -0.032447 Loss_G: 0.037278 Loss_D_real: -0.031207 Loss_D_fake 0.001240
[284/5000][305/535][29019] Loss_D: -0.033708 Loss_G: 0.003626 Loss_D_real: -0.010619 Loss_D_fake 0.023089
[284/5000][310/535][29020] Loss_D: -0.033676 Loss_G: 0.022785 Loss_D_real: -0.021109 Loss_D_fake 0.012567
[284/5000][315/535][29021] Loss_D: -0.031946 Loss_G: 0.033916 Loss_D_real: -0.037902 Loss_D_fake -0.005957
[284/5000][320/535][29022] Loss_D: -0.033531 Loss_G: 0.006516 Loss_D_real: -0.014428 Loss_D_fake 0.019103
[284/5000][325/535][29023] Loss_D: -0.032740 Loss_G: 0.029296 Loss_D_real: -0.034766 Loss_D_fake -0.002026
[284/5000][330/535][29024] Loss_D: -0.032901 Loss_G: 0.000267 Loss_D_real: -0.012084 Loss_D_fake 0.020818
[284/5000][335/535][29025] Loss_D: -0.032920 Loss_G: 0.032017 Loss_D_real: -0.030955 Loss_D_fake 0.001965
[284/5000][340/535][29026] Loss_D: -0.033725 Loss_G: 0.009702 Loss_D_real: -0.019781 Loss_D_fake 0.013944
[284/5000][345/535][29027] Loss_D: -0.032471 Loss_G: 0.008147 Loss_D_real: -0.014799 Loss_D_fake 0.017672
[284/5000][350/535][29028] Loss_D: -0.032274 Loss_G: 0.014389 Loss_D_real: -0.010844 Loss_D_fake 0.021430
[284/5000][355/535][29029] Loss_D: -0.031709 Loss_G: 0.005153 Loss_D_real: -0.025172 Loss_D_fake 0.006537
[284/5000][360/535][29030] Loss_D: -0.031831 Loss_G: 0.044529 Loss_D_real: -0.044046 Loss_D_fake -0.012215
[284/5000][365/535][29031] Loss_D: -0.032672 Loss_G: 0.004890 Loss_D_real: -0.016013 Loss_D_fake 0.016659
[284/5000][370/535][29032] Loss_D: -0.032783 Loss_G: 0.024640 Loss_D_real: -0.031967 Loss_D_fake 0.000816
[284/5000][375/535][29033] Loss_D: -0.033436 Loss_G: 0.032632 Loss_D_real: -0.034233 Loss_D_fake -0.000796
[284/5000][380/535][29034] Loss_D: -0.033294 Loss_G: 0.010030 Loss_D_real: -0.017152 Loss_D_fake 0.016142
[284/5000][385/535][29035] Loss_D: -0.032580 Loss_G: 0.011165 Loss_D_real: -0.017244 Loss_D_fake 0.015336
[284/5000][390/535][29036] Loss_D: -0.032429 Loss_G: 0.037350 Loss_D_real: -0.035435 Loss_D_fake -0.003006
[284/5000][395/535][29037] Loss_D: -0.033368 Loss_G: 0.013348 Loss_D_real: -0.018352 Loss_D_fake 0.015016
[284/5000][400/535][29038] Loss_D: -0.033177 Loss_G: 0.020066 Loss_D_real: -0.018980 Loss_D_fake 0.014197
[284/5000][405/535][29039] Loss_D: -0.031985 Loss_G: 0.039719 Loss_D_real: -0.035116 Loss_D_fake -0.003131
[284/5000][410/535][29040] Loss_D: -0.031606 Loss_G: 0.037794 Loss_D_real: -0.034493 Loss_D_fake -0.002887
[284/5000][415/535][29041] Loss_D: -0.031990 Loss_G: 0.010162 Loss_D_real: -0.017152 Loss_D_fake 0.014837
[284/5000][420/535][29042] Loss_D: -0.034078 Loss_G: 0.014947 Loss_D_real: -0.031483 Loss_D_fake 0.002595
[284/5000][425/535][29043] Loss_D: -0.033357 Loss_G: -0.004122 Loss_D_real: -0.010105 Loss_D_fake 0.023251
[284/5000][430/535][29044] Loss_D: -0.031980 Loss_G: 0.017121 Loss_D_real: -0.024620 Loss_D_fake 0.007359
[284/5000][435/535][29045] Loss_D: -0.032010 Loss_G: 0.015948 Loss_D_real: -0.032925 Loss_D_fake -0.000916
[284/5000][440/535][29046] Loss_D: -0.032211 Loss_G: 0.011124 Loss_D_real: -0.024170 Loss_D_fake 0.008041
[284/5000][445/535][29047] Loss_D: -0.032136 Loss_G: 0.042461 Loss_D_real: -0.033986 Loss_D_fake -0.001851
[284/5000][450/535][29048] Loss_D: -0.030763 Loss_G: -0.008411 Loss_D_real: -0.001225 Loss_D_fake 0.029538
[284/5000][455/535][29049] Loss_D: -0.030770 Loss_G: 0.021015 Loss_D_real: -0.033966 Loss_D_fake -0.003196
[284/5000][460/535][29050] Loss_D: -0.031158 Loss_G: 0.026783 Loss_D_real: -0.031281 Loss_D_fake -0.000123
[284/5000][465/535][29051] Loss_D: -0.032123 Loss_G: 0.008642 Loss_D_real: -0.013275 Loss_D_fake 0.018848
[284/5000][470/535][29052] Loss_D: -0.032554 Loss_G: -0.012124 Loss_D_real: -0.005037 Loss_D_fake 0.027517
[284/5000][475/535][29053] Loss_D: -0.031383 Loss_G: 0.019541 Loss_D_real: -0.020232 Loss_D_fake 0.011151
[284/5000][480/535][29054] Loss_D: -0.030048 Loss_G: -0.004007 Loss_D_real: -0.004628 Loss_D_fake 0.025420
[284/5000][485/535][29055] Loss_D: -0.033243 Loss_G: 0.015225 Loss_D_real: -0.009912 Loss_D_fake 0.023331
[284/5000][490/535][29056] Loss_D: -0.033100 Loss_G: 0.031623 Loss_D_real: -0.029435 Loss_D_fake 0.003665
[284/5000][495/535][29057] Loss_D: -0.031349 Loss_G: 0.000906 Loss_D_real: -0.007194 Loss_D_fake 0.024155
[284/5000][500/535][29058] Loss_D: -0.030716 Loss_G: 0.024878 Loss_D_real: -0.029065 Loss_D_fake 0.001651
[284/5000][505/535][29059] Loss_D: -0.032432 Loss_G: 0.019632 Loss_D_real: -0.019043 Loss_D_fake 0.013389
[284/5000][510/535][29060] Loss_D: -0.031676 Loss_G: 0.003382 Loss_D_real: -0.004480 Loss_D_fake 0.027196
[284/5000][515/535][29061] Loss_D: -0.033102 Loss_G: 0.011235 Loss_D_real: -0.010698 Loss_D_fake 0.022403
[284/5000][520/535][29062] Loss_D: -0.032632 Loss_G: 0.030613 Loss_D_real: -0.028393 Loss_D_fake 0.004239
[284/5000][525/535][29063] Loss_D: -0.030955 Loss_G: -0.005238 Loss_D_real: -0.008872 Loss_D_fake 0.022083
[284/5000][530/535][29064] Loss_D: -0.031621 Loss_G: 0.032517 Loss_D_real: -0.029583 Loss_D_fake 0.002038
[284/5000][535/535][29065] Loss_D: -0.033163 Loss_G: 0.028891 Loss_D_real: -0.031262 Loss_D_fake 0.001901
[285/5000][5/535][29066] Loss_D: -0.035035 Loss_G: 0.026947 Loss_D_real: -0.031415 Loss_D_fake 0.003621
[285/5000][10/535][29067] Loss_D: -0.032989 Loss_G: 0.026788 Loss_D_real: -0.021078 Loss_D_fake 0.011911
[285/5000][15/535][29068] Loss_D: -0.034790 Loss_G: 0.019886 Loss_D_real: -0.028502 Loss_D_fake 0.006289
[285/5000][20/535][29069] Loss_D: -0.032646 Loss_G: 0.017202 Loss_D_real: -0.019420 Loss_D_fake 0.013226
[285/5000][25/535][29070] Loss_D: -0.032772 Loss_G: 0.021661 Loss_D_real: -0.018426 Loss_D_fake 0.014346
[285/5000][30/535][29071] Loss_D: -0.031856 Loss_G: 0.034219 Loss_D_real: -0.038938 Loss_D_fake -0.007083
[285/5000][35/535][29072] Loss_D: -0.031211 Loss_G: 0.028090 Loss_D_real: -0.038090 Loss_D_fake -0.006880
[285/5000][40/535][29073] Loss_D: -0.032175 Loss_G: 0.014437 Loss_D_real: -0.015062 Loss_D_fake 0.017112
[285/5000][45/535][29074] Loss_D: -0.032080 Loss_G: 0.028683 Loss_D_real: -0.026133 Loss_D_fake 0.005947
[285/5000][50/535][29075] Loss_D: -0.032003 Loss_G: 0.022261 Loss_D_real: -0.024620 Loss_D_fake 0.007384
[285/5000][55/535][29076] Loss_D: -0.033328 Loss_G: -0.005724 Loss_D_real: -0.002517 Loss_D_fake 0.030812
[285/5000][60/535][29077] Loss_D: -0.029317 Loss_G: 0.046933 Loss_D_real: -0.037525 Loss_D_fake -0.008208
[285/5000][65/535][29078] Loss_D: -0.031195 Loss_G: -0.003982 Loss_D_real: -0.002992 Loss_D_fake 0.028202
[285/5000][70/535][29079] Loss_D: -0.030395 Loss_G: 0.028931 Loss_D_real: -0.036140 Loss_D_fake -0.005746
[285/5000][75/535][29080] Loss_D: -0.033445 Loss_G: 0.009681 Loss_D_real: -0.017038 Loss_D_fake 0.016407
[285/5000][80/535][29081] Loss_D: -0.032810 Loss_G: 0.026087 Loss_D_real: -0.025698 Loss_D_fake 0.007112
[285/5000][85/535][29082] Loss_D: -0.033612 Loss_G: 0.021468 Loss_D_real: -0.016174 Loss_D_fake 0.017438
[285/5000][90/535][29083] Loss_D: -0.033032 Loss_G: -0.006436 Loss_D_real: -0.012208 Loss_D_fake 0.020824
[285/5000][95/535][29084] Loss_D: -0.032550 Loss_G: 0.008321 Loss_D_real: -0.017493 Loss_D_fake 0.015057
[285/5000][100/535][29085] Loss_D: -0.033936 Loss_G: 0.032839 Loss_D_real: -0.030392 Loss_D_fake 0.003543
[285/5000][105/535][29086] Loss_D: -0.033201 Loss_G: 0.000228 Loss_D_real: -0.015608 Loss_D_fake 0.017593
[285/5000][110/535][29087] Loss_D: -0.032898 Loss_G: 0.014491 Loss_D_real: -0.027586 Loss_D_fake 0.005312
[285/5000][115/535][29088] Loss_D: -0.032037 Loss_G: 0.001034 Loss_D_real: -0.008774 Loss_D_fake 0.023262
[285/5000][120/535][29089] Loss_D: -0.029460 Loss_G: 0.036634 Loss_D_real: -0.033634 Loss_D_fake -0.004174
[285/5000][125/535][29090] Loss_D: -0.031941 Loss_G: 0.017995 Loss_D_real: -0.025747 Loss_D_fake 0.006194
[285/5000][130/535][29091] Loss_D: -0.033880 Loss_G: 0.029248 Loss_D_real: -0.024928 Loss_D_fake 0.008952
[285/5000][135/535][29092] Loss_D: -0.030313 Loss_G: -0.004411 Loss_D_real: 0.002706 Loss_D_fake 0.033019
[285/5000][140/535][29093] Loss_D: -0.029798 Loss_G: -0.003070 Loss_D_real: -0.010799 Loss_D_fake 0.018999
[285/5000][145/535][29094] Loss_D: -0.032019 Loss_G: 0.027896 Loss_D_real: -0.028929 Loss_D_fake 0.003089
[285/5000][150/535][29095] Loss_D: -0.031753 Loss_G: 0.011357 Loss_D_real: -0.012884 Loss_D_fake 0.018869
[285/5000][155/535][29096] Loss_D: -0.031228 Loss_G: -0.002642 Loss_D_real: -0.003493 Loss_D_fake 0.027735
[285/5000][160/535][29097] Loss_D: -0.033727 Loss_G: 0.028289 Loss_D_real: -0.028875 Loss_D_fake 0.004853
[285/5000][165/535][29098] Loss_D: -0.031332 Loss_G: -0.006950 Loss_D_real: -0.003881 Loss_D_fake 0.027451
[285/5000][170/535][29099] Loss_D: -0.032850 Loss_G: 0.018145 Loss_D_real: -0.016861 Loss_D_fake 0.015989
[285/5000][175/535][29100] Loss_D: -0.032044 Loss_G: -0.007561 Loss_D_real: -0.003444 Loss_D_fake 0.028600
[285/5000][180/535][29101] Loss_D: -0.032554 Loss_G: 0.007781 Loss_D_real: -0.018398 Loss_D_fake 0.014156
[285/5000][185/535][29102] Loss_D: -0.031163 Loss_G: 0.035506 Loss_D_real: -0.036713 Loss_D_fake -0.005550
[285/5000][190/535][29103] Loss_D: -0.031378 Loss_G: 0.006082 Loss_D_real: -0.003974 Loss_D_fake 0.027404
[285/5000][195/535][29104] Loss_D: -0.031653 Loss_G: 0.017073 Loss_D_real: -0.024157 Loss_D_fake 0.007496
[285/5000][200/535][29105] Loss_D: -0.032434 Loss_G: 0.028500 Loss_D_real: -0.022944 Loss_D_fake 0.009490
[285/5000][205/535][29106] Loss_D: -0.033046 Loss_G: 0.001704 Loss_D_real: -0.003314 Loss_D_fake 0.029733
[285/5000][210/535][29107] Loss_D: -0.030714 Loss_G: 0.031607 Loss_D_real: -0.034296 Loss_D_fake -0.003582
[285/5000][215/535][29108] Loss_D: -0.031788 Loss_G: 0.021530 Loss_D_real: -0.023809 Loss_D_fake 0.007979
[285/5000][220/535][29109] Loss_D: -0.032327 Loss_G: 0.040066 Loss_D_real: -0.030820 Loss_D_fake 0.001508
[285/5000][225/535][29110] Loss_D: -0.032649 Loss_G: 0.011013 Loss_D_real: -0.012808 Loss_D_fake 0.019842
[285/5000][230/535][29111] Loss_D: -0.031841 Loss_G: 0.010713 Loss_D_real: -0.014813 Loss_D_fake 0.017028
[285/5000][235/535][29112] Loss_D: -0.030848 Loss_G: 0.024104 Loss_D_real: -0.026945 Loss_D_fake 0.003903
[285/5000][240/535][29113] Loss_D: -0.031948 Loss_G: 0.032473 Loss_D_real: -0.036501 Loss_D_fake -0.004553
[285/5000][245/535][29114] Loss_D: -0.032288 Loss_G: 0.015554 Loss_D_real: -0.009264 Loss_D_fake 0.023024
[285/5000][250/535][29115] Loss_D: -0.032654 Loss_G: -0.008859 Loss_D_real: -0.010125 Loss_D_fake 0.022528
[285/5000][255/535][29116] Loss_D: -0.033018 Loss_G: 0.025364 Loss_D_real: -0.027915 Loss_D_fake 0.005104
[285/5000][260/535][29117] Loss_D: -0.031852 Loss_G: 0.013914 Loss_D_real: -0.020601 Loss_D_fake 0.011250
[285/5000][265/535][29118] Loss_D: -0.031517 Loss_G: 0.001367 Loss_D_real: -0.010784 Loss_D_fake 0.020733
[285/5000][270/535][29119] Loss_D: -0.031316 Loss_G: 0.034923 Loss_D_real: -0.034576 Loss_D_fake -0.003260
[285/5000][275/535][29120] Loss_D: -0.031994 Loss_G: 0.029181 Loss_D_real: -0.024433 Loss_D_fake 0.007561
[285/5000][280/535][29121] Loss_D: -0.032080 Loss_G: 0.015085 Loss_D_real: -0.009934 Loss_D_fake 0.022146
[285/5000][285/535][29122] Loss_D: -0.030346 Loss_G: 0.043590 Loss_D_real: -0.039108 Loss_D_fake -0.008762
[285/5000][290/535][29123] Loss_D: -0.032374 Loss_G: 0.017170 Loss_D_real: -0.017889 Loss_D_fake 0.014486
[285/5000][295/535][29124] Loss_D: -0.031974 Loss_G: 0.025709 Loss_D_real: -0.022090 Loss_D_fake 0.009884
[285/5000][300/535][29125] Loss_D: -0.031570 Loss_G: 0.037749 Loss_D_real: -0.041472 Loss_D_fake -0.009902
[285/5000][305/535][29126] Loss_D: -0.030360 Loss_G: 0.028946 Loss_D_real: -0.021332 Loss_D_fake 0.009029
[285/5000][310/535][29127] Loss_D: -0.031877 Loss_G: 0.027356 Loss_D_real: -0.025439 Loss_D_fake 0.006438
[285/5000][315/535][29128] Loss_D: -0.032635 Loss_G: 0.023191 Loss_D_real: -0.028833 Loss_D_fake 0.003802
[285/5000][320/535][29129] Loss_D: -0.032457 Loss_G: 0.032410 Loss_D_real: -0.036836 Loss_D_fake -0.004379
[285/5000][325/535][29130] Loss_D: -0.033243 Loss_G: -0.004108 Loss_D_real: -0.006346 Loss_D_fake 0.026897
[285/5000][330/535][29131] Loss_D: -0.031858 Loss_G: 0.029026 Loss_D_real: -0.030569 Loss_D_fake 0.001289
[285/5000][335/535][29132] Loss_D: -0.032148 Loss_G: -0.017782 Loss_D_real: -0.005547 Loss_D_fake 0.026601
[285/5000][340/535][29133] Loss_D: -0.031559 Loss_G: 0.021589 Loss_D_real: -0.034557 Loss_D_fake -0.002998
[285/5000][345/535][29134] Loss_D: -0.032046 Loss_G: 0.024752 Loss_D_real: -0.036954 Loss_D_fake -0.004908
[285/5000][350/535][29135] Loss_D: -0.032939 Loss_G: 0.016689 Loss_D_real: -0.014233 Loss_D_fake 0.018705
[285/5000][355/535][29136] Loss_D: -0.032891 Loss_G: 0.018095 Loss_D_real: -0.025807 Loss_D_fake 0.007084
[285/5000][360/535][29137] Loss_D: -0.034494 Loss_G: 0.034356 Loss_D_real: -0.025164 Loss_D_fake 0.009330
[285/5000][365/535][29138] Loss_D: -0.033124 Loss_G: 0.004979 Loss_D_real: -0.014469 Loss_D_fake 0.018655
[285/5000][370/535][29139] Loss_D: -0.032676 Loss_G: 0.018895 Loss_D_real: -0.024845 Loss_D_fake 0.007831
[285/5000][375/535][29140] Loss_D: -0.030572 Loss_G: 0.012770 Loss_D_real: -0.012899 Loss_D_fake 0.017673
[285/5000][380/535][29141] Loss_D: -0.032486 Loss_G: 0.023676 Loss_D_real: -0.029476 Loss_D_fake 0.003010
[285/5000][385/535][29142] Loss_D: -0.031989 Loss_G: 0.038732 Loss_D_real: -0.034957 Loss_D_fake -0.002967
[285/5000][390/535][29143] Loss_D: -0.033086 Loss_G: 0.006856 Loss_D_real: -0.012414 Loss_D_fake 0.020672
[285/5000][395/535][29144] Loss_D: -0.030928 Loss_G: 0.021933 Loss_D_real: -0.029252 Loss_D_fake 0.001676
[285/5000][400/535][29145] Loss_D: -0.032325 Loss_G: 0.003404 Loss_D_real: -0.016983 Loss_D_fake 0.015342
[285/5000][405/535][29146] Loss_D: -0.032985 Loss_G: 0.026948 Loss_D_real: -0.033435 Loss_D_fake -0.000450
[285/5000][410/535][29147] Loss_D: -0.032302 Loss_G: 0.031430 Loss_D_real: -0.029678 Loss_D_fake 0.002625
[285/5000][415/535][29148] Loss_D: -0.033056 Loss_G: 0.019242 Loss_D_real: -0.027061 Loss_D_fake 0.005995
[285/5000][420/535][29149] Loss_D: -0.032004 Loss_G: 0.029065 Loss_D_real: -0.024105 Loss_D_fake 0.007899
[285/5000][425/535][29150] Loss_D: -0.031689 Loss_G: 0.015742 Loss_D_real: -0.017541 Loss_D_fake 0.014148
[285/5000][430/535][29151] Loss_D: -0.032064 Loss_G: 0.033406 Loss_D_real: -0.037196 Loss_D_fake -0.005132
[285/5000][435/535][29152] Loss_D: -0.033088 Loss_G: 0.019758 Loss_D_real: -0.018699 Loss_D_fake 0.014388
[285/5000][440/535][29153] Loss_D: -0.031470 Loss_G: 0.031882 Loss_D_real: -0.032326 Loss_D_fake -0.000856
[285/5000][445/535][29154] Loss_D: -0.032800 Loss_G: 0.031598 Loss_D_real: -0.030268 Loss_D_fake 0.002532
[285/5000][450/535][29155] Loss_D: -0.033110 Loss_G: 0.015934 Loss_D_real: -0.030024 Loss_D_fake 0.003087
[285/5000][455/535][29156] Loss_D: -0.032943 Loss_G: -0.004176 Loss_D_real: -0.008422 Loss_D_fake 0.024521
[285/5000][460/535][29157] Loss_D: -0.032273 Loss_G: 0.024957 Loss_D_real: -0.028124 Loss_D_fake 0.004149
[285/5000][465/535][29158] Loss_D: -0.033498 Loss_G: 0.030208 Loss_D_real: -0.034989 Loss_D_fake -0.001491
[285/5000][470/535][29159] Loss_D: -0.031215 Loss_G: -0.021007 Loss_D_real: -0.000628 Loss_D_fake 0.030587
[285/5000][475/535][29160] Loss_D: -0.030870 Loss_G: 0.012988 Loss_D_real: -0.023918 Loss_D_fake 0.006952
[285/5000][480/535][29161] Loss_D: -0.032048 Loss_G: 0.017990 Loss_D_real: -0.017179 Loss_D_fake 0.014869
[285/5000][485/535][29162] Loss_D: -0.030385 Loss_G: 0.039979 Loss_D_real: -0.037992 Loss_D_fake -0.007607
[285/5000][490/535][29163] Loss_D: -0.033224 Loss_G: 0.030994 Loss_D_real: -0.030448 Loss_D_fake 0.002775
[285/5000][495/535][29164] Loss_D: -0.032264 Loss_G: 0.007685 Loss_D_real: -0.007661 Loss_D_fake 0.024603
[285/5000][500/535][29165] Loss_D: -0.032342 Loss_G: 0.017744 Loss_D_real: -0.026866 Loss_D_fake 0.005476
[285/5000][505/535][29166] Loss_D: -0.032780 Loss_G: 0.015924 Loss_D_real: -0.019213 Loss_D_fake 0.013567
[285/5000][510/535][29167] Loss_D: -0.031689 Loss_G: 0.021451 Loss_D_real: -0.028798 Loss_D_fake 0.002891
[285/5000][515/535][29168] Loss_D: -0.033830 Loss_G: -0.000064 Loss_D_real: -0.012208 Loss_D_fake 0.021622
[285/5000][520/535][29169] Loss_D: -0.031926 Loss_G: 0.035713 Loss_D_real: -0.034644 Loss_D_fake -0.002718
[285/5000][525/535][29170] Loss_D: -0.031038 Loss_G: 0.027100 Loss_D_real: -0.029431 Loss_D_fake 0.001607
[285/5000][530/535][29171] Loss_D: -0.033323 Loss_G: 0.017905 Loss_D_real: -0.017242 Loss_D_fake 0.016081
[285/5000][535/535][29172] Loss_D: -0.029392 Loss_G: 0.041305 Loss_D_real: -0.025740 Loss_D_fake 0.003652
[286/5000][5/535][29173] Loss_D: -0.033772 Loss_G: 0.015244 Loss_D_real: -0.017624 Loss_D_fake 0.016148
[286/5000][10/535][29174] Loss_D: -0.032486 Loss_G: 0.013302 Loss_D_real: -0.021203 Loss_D_fake 0.011282
[286/5000][15/535][29175] Loss_D: -0.032591 Loss_G: 0.010186 Loss_D_real: -0.015936 Loss_D_fake 0.016655
[286/5000][20/535][29176] Loss_D: -0.032425 Loss_G: 0.015252 Loss_D_real: -0.028633 Loss_D_fake 0.003792
[286/5000][25/535][29177] Loss_D: -0.033008 Loss_G: 0.017591 Loss_D_real: -0.024148 Loss_D_fake 0.008861
[286/5000][30/535][29178] Loss_D: -0.031870 Loss_G: 0.031575 Loss_D_real: -0.030477 Loss_D_fake 0.001393
[286/5000][35/535][29179] Loss_D: -0.032396 Loss_G: -0.007341 Loss_D_real: -0.015128 Loss_D_fake 0.017267
[286/5000][40/535][29180] Loss_D: -0.032212 Loss_G: 0.030514 Loss_D_real: -0.025969 Loss_D_fake 0.006243
[286/5000][45/535][29181] Loss_D: -0.032638 Loss_G: -0.008313 Loss_D_real: -0.002936 Loss_D_fake 0.029702
[286/5000][50/535][29182] Loss_D: -0.032779 Loss_G: 0.036974 Loss_D_real: -0.029736 Loss_D_fake 0.003043
[286/5000][55/535][29183] Loss_D: -0.033363 Loss_G: -0.010766 Loss_D_real: -0.009207 Loss_D_fake 0.024156
[286/5000][60/535][29184] Loss_D: -0.033366 Loss_G: 0.011242 Loss_D_real: -0.017603 Loss_D_fake 0.015763
[286/5000][65/535][29185] Loss_D: -0.031218 Loss_G: 0.031460 Loss_D_real: -0.035862 Loss_D_fake -0.004644
[286/5000][70/535][29186] Loss_D: -0.034321 Loss_G: 0.000221 Loss_D_real: -0.017266 Loss_D_fake 0.017055
[286/5000][75/535][29187] Loss_D: -0.029445 Loss_G: 0.040434 Loss_D_real: -0.036892 Loss_D_fake -0.007447
[286/5000][80/535][29188] Loss_D: -0.031032 Loss_G: 0.018169 Loss_D_real: -0.015856 Loss_D_fake 0.015175
[286/5000][85/535][29189] Loss_D: -0.032902 Loss_G: 0.005386 Loss_D_real: -0.007539 Loss_D_fake 0.025364
[286/5000][90/535][29190] Loss_D: -0.031743 Loss_G: 0.036425 Loss_D_real: -0.030408 Loss_D_fake 0.001335
[286/5000][95/535][29191] Loss_D: -0.032186 Loss_G: 0.028127 Loss_D_real: -0.028404 Loss_D_fake 0.003782
[286/5000][100/535][29192] Loss_D: -0.032441 Loss_G: 0.014135 Loss_D_real: -0.017779 Loss_D_fake 0.014662
[286/5000][105/535][29193] Loss_D: -0.031943 Loss_G: 0.003646 Loss_D_real: -0.009903 Loss_D_fake 0.022040
[286/5000][110/535][29194] Loss_D: -0.033306 Loss_G: 0.016338 Loss_D_real: -0.023404 Loss_D_fake 0.009902
[286/5000][115/535][29195] Loss_D: -0.032303 Loss_G: 0.040115 Loss_D_real: -0.033455 Loss_D_fake -0.001151
[286/5000][120/535][29196] Loss_D: -0.032852 Loss_G: -0.002586 Loss_D_real: -0.016297 Loss_D_fake 0.016554
[286/5000][125/535][29197] Loss_D: -0.032714 Loss_G: 0.027466 Loss_D_real: -0.038756 Loss_D_fake -0.006042
[286/5000][130/535][29198] Loss_D: -0.032661 Loss_G: -0.005284 Loss_D_real: -0.004257 Loss_D_fake 0.028403
[286/5000][135/535][29199] Loss_D: -0.031359 Loss_G: 0.031545 Loss_D_real: -0.032904 Loss_D_fake -0.001545
[286/5000][140/535][29200] Loss_D: -0.032984 Loss_G: 0.010258 Loss_D_real: -0.012643 Loss_D_fake 0.020341
[286/5000][145/535][29201] Loss_D: -0.032228 Loss_G: 0.018227 Loss_D_real: -0.024963 Loss_D_fake 0.007265
[286/5000][150/535][29202] Loss_D: -0.032382 Loss_G: 0.005328 Loss_D_real: -0.009862 Loss_D_fake 0.022520
[286/5000][155/535][29203] Loss_D: -0.032584 Loss_G: 0.023960 Loss_D_real: -0.026633 Loss_D_fake 0.005951
[286/5000][160/535][29204] Loss_D: -0.031391 Loss_G: 0.034903 Loss_D_real: -0.023885 Loss_D_fake 0.007506
[286/5000][165/535][29205] Loss_D: -0.033557 Loss_G: -0.002730 Loss_D_real: -0.006596 Loss_D_fake 0.026961
[286/5000][170/535][29206] Loss_D: -0.031490 Loss_G: 0.026670 Loss_D_real: -0.027303 Loss_D_fake 0.004186
[286/5000][175/535][29207] Loss_D: -0.032913 Loss_G: 0.028532 Loss_D_real: -0.032226 Loss_D_fake 0.000686
[286/5000][180/535][29208] Loss_D: -0.033020 Loss_G: 0.029216 Loss_D_real: -0.028822 Loss_D_fake 0.004197
[286/5000][185/535][29209] Loss_D: -0.030235 Loss_G: 0.028400 Loss_D_real: -0.030976 Loss_D_fake -0.000741
[286/5000][190/535][29210] Loss_D: -0.033104 Loss_G: 0.046890 Loss_D_real: -0.036010 Loss_D_fake -0.002907
[286/5000][195/535][29211] Loss_D: -0.033073 Loss_G: 0.025627 Loss_D_real: -0.024928 Loss_D_fake 0.008145
[286/5000][200/535][29212] Loss_D: -0.033079 Loss_G: 0.014686 Loss_D_real: -0.033635 Loss_D_fake -0.000556
[286/5000][205/535][29213] Loss_D: -0.032006 Loss_G: 0.022915 Loss_D_real: -0.033269 Loss_D_fake -0.001263
[286/5000][210/535][29214] Loss_D: -0.032723 Loss_G: 0.022301 Loss_D_real: -0.013016 Loss_D_fake 0.019707
[286/5000][215/535][29215] Loss_D: -0.031364 Loss_G: 0.025817 Loss_D_real: -0.029394 Loss_D_fake 0.001970
[286/5000][220/535][29216] Loss_D: -0.032731 Loss_G: 0.003140 Loss_D_real: -0.017934 Loss_D_fake 0.014798
[286/5000][225/535][29217] Loss_D: -0.033449 Loss_G: 0.016484 Loss_D_real: -0.023825 Loss_D_fake 0.009624
[286/5000][230/535][29218] Loss_D: -0.032847 Loss_G: 0.016436 Loss_D_real: -0.018868 Loss_D_fake 0.013979
[286/5000][235/535][29219] Loss_D: -0.033211 Loss_G: 0.033075 Loss_D_real: -0.024144 Loss_D_fake 0.009067
[286/5000][240/535][29220] Loss_D: -0.034062 Loss_G: 0.003528 Loss_D_real: -0.007520 Loss_D_fake 0.026542
[286/5000][245/535][29221] Loss_D: -0.031656 Loss_G: -0.005993 Loss_D_real: -0.014878 Loss_D_fake 0.016778
[286/5000][250/535][29222] Loss_D: -0.032465 Loss_G: 0.025348 Loss_D_real: -0.025865 Loss_D_fake 0.006600
[286/5000][255/535][29223] Loss_D: -0.032722 Loss_G: 0.006159 Loss_D_real: -0.009686 Loss_D_fake 0.023035
[286/5000][260/535][29224] Loss_D: -0.031154 Loss_G: 0.028098 Loss_D_real: -0.031005 Loss_D_fake 0.000149
[286/5000][265/535][29225] Loss_D: -0.032949 Loss_G: 0.004312 Loss_D_real: -0.011962 Loss_D_fake 0.020988
[286/5000][270/535][29226] Loss_D: -0.031433 Loss_G: 0.033765 Loss_D_real: -0.034241 Loss_D_fake -0.002808
[286/5000][275/535][29227] Loss_D: -0.032941 Loss_G: 0.002961 Loss_D_real: -0.012604 Loss_D_fake 0.020338
[286/5000][280/535][29228] Loss_D: -0.031448 Loss_G: 0.026945 Loss_D_real: -0.024861 Loss_D_fake 0.006587
[286/5000][285/535][29229] Loss_D: -0.031143 Loss_G: 0.021376 Loss_D_real: -0.024356 Loss_D_fake 0.006787
[286/5000][290/535][29230] Loss_D: -0.030226 Loss_G: 0.025874 Loss_D_real: -0.028889 Loss_D_fake 0.001337
[286/5000][295/535][29231] Loss_D: -0.032865 Loss_G: 0.033274 Loss_D_real: -0.029469 Loss_D_fake 0.003395
[286/5000][300/535][29232] Loss_D: -0.032074 Loss_G: -0.007920 Loss_D_real: -0.014238 Loss_D_fake 0.017836
[286/5000][305/535][29233] Loss_D: -0.031410 Loss_G: 0.026921 Loss_D_real: -0.030806 Loss_D_fake 0.000604
[286/5000][310/535][29234] Loss_D: -0.031485 Loss_G: 0.025266 Loss_D_real: -0.022472 Loss_D_fake 0.009012
[286/5000][315/535][29235] Loss_D: -0.031339 Loss_G: 0.017270 Loss_D_real: -0.022192 Loss_D_fake 0.009147
[286/5000][320/535][29236] Loss_D: -0.031760 Loss_G: 0.032729 Loss_D_real: -0.028627 Loss_D_fake 0.003133
[286/5000][325/535][29237] Loss_D: -0.030391 Loss_G: 0.002151 Loss_D_real: -0.004014 Loss_D_fake 0.026377
[286/5000][330/535][29238] Loss_D: -0.032113 Loss_G: 0.033276 Loss_D_real: -0.031127 Loss_D_fake 0.000986
[286/5000][335/535][29239] Loss_D: -0.031920 Loss_G: -0.003318 Loss_D_real: -0.013649 Loss_D_fake 0.018272
[286/5000][340/535][29240] Loss_D: -0.032553 Loss_G: -0.003133 Loss_D_real: -0.005969 Loss_D_fake 0.026584
[286/5000][345/535][29241] Loss_D: -0.030589 Loss_G: 0.040670 Loss_D_real: -0.040489 Loss_D_fake -0.009900
[286/5000][350/535][29242] Loss_D: -0.032806 Loss_G: 0.030009 Loss_D_real: -0.029111 Loss_D_fake 0.003695
[286/5000][355/535][29243] Loss_D: -0.032445 Loss_G: 0.030867 Loss_D_real: -0.028709 Loss_D_fake 0.003735
[286/5000][360/535][29244] Loss_D: -0.031859 Loss_G: 0.041539 Loss_D_real: -0.046424 Loss_D_fake -0.014565
[286/5000][365/535][29245] Loss_D: -0.031015 Loss_G: -0.009274 Loss_D_real: 0.003050 Loss_D_fake 0.034065
[286/5000][370/535][29246] Loss_D: -0.030951 Loss_G: 0.014926 Loss_D_real: -0.027491 Loss_D_fake 0.003460
[286/5000][375/535][29247] Loss_D: -0.030943 Loss_G: 0.039604 Loss_D_real: -0.037789 Loss_D_fake -0.006846
[286/5000][380/535][29248] Loss_D: -0.031962 Loss_G: 0.030317 Loss_D_real: -0.028813 Loss_D_fake 0.003149
[286/5000][385/535][29249] Loss_D: -0.033433 Loss_G: 0.001506 Loss_D_real: -0.008988 Loss_D_fake 0.024445
[286/5000][390/535][29250] Loss_D: -0.032915 Loss_G: 0.035069 Loss_D_real: -0.037033 Loss_D_fake -0.004118
[286/5000][395/535][29251] Loss_D: -0.031861 Loss_G: 0.020567 Loss_D_real: -0.022950 Loss_D_fake 0.008910
[286/5000][400/535][29252] Loss_D: -0.032897 Loss_G: 0.022191 Loss_D_real: -0.023722 Loss_D_fake 0.009175
[286/5000][405/535][29253] Loss_D: -0.032332 Loss_G: 0.018324 Loss_D_real: -0.024105 Loss_D_fake 0.008227
[286/5000][410/535][29254] Loss_D: -0.032926 Loss_G: 0.003991 Loss_D_real: -0.017647 Loss_D_fake 0.015279
[286/5000][415/535][29255] Loss_D: -0.029054 Loss_G: 0.032029 Loss_D_real: -0.033622 Loss_D_fake -0.004567
[286/5000][420/535][29256] Loss_D: -0.031199 Loss_G: 0.025229 Loss_D_real: -0.023204 Loss_D_fake 0.007995
[286/5000][425/535][29257] Loss_D: -0.032366 Loss_G: 0.007881 Loss_D_real: -0.009798 Loss_D_fake 0.022568
[286/5000][430/535][29258] Loss_D: -0.032302 Loss_G: 0.018372 Loss_D_real: -0.016772 Loss_D_fake 0.015530
[286/5000][435/535][29259] Loss_D: -0.032957 Loss_G: 0.023268 Loss_D_real: -0.026682 Loss_D_fake 0.006276
[286/5000][440/535][29260] Loss_D: -0.032796 Loss_G: 0.028628 Loss_D_real: -0.025240 Loss_D_fake 0.007557
[286/5000][445/535][29261] Loss_D: -0.032112 Loss_G: 0.032823 Loss_D_real: -0.030623 Loss_D_fake 0.001488
[286/5000][450/535][29262] Loss_D: -0.031817 Loss_G: 0.025383 Loss_D_real: -0.027259 Loss_D_fake 0.004558
[286/5000][455/535][29263] Loss_D: -0.033044 Loss_G: 0.004291 Loss_D_real: -0.011464 Loss_D_fake 0.021581
[286/5000][460/535][29264] Loss_D: -0.033497 Loss_G: 0.026435 Loss_D_real: -0.020926 Loss_D_fake 0.012571
[286/5000][465/535][29265] Loss_D: -0.032528 Loss_G: 0.018334 Loss_D_real: -0.033284 Loss_D_fake -0.000756
[286/5000][470/535][29266] Loss_D: -0.033472 Loss_G: -0.000740 Loss_D_real: -0.012868 Loss_D_fake 0.020604
[286/5000][475/535][29267] Loss_D: -0.030897 Loss_G: 0.034012 Loss_D_real: -0.035008 Loss_D_fake -0.004111
[286/5000][480/535][29268] Loss_D: -0.031956 Loss_G: 0.019517 Loss_D_real: -0.018971 Loss_D_fake 0.012984
[286/5000][485/535][29269] Loss_D: -0.032882 Loss_G: 0.023670 Loss_D_real: -0.020494 Loss_D_fake 0.012388
[286/5000][490/535][29270] Loss_D: -0.030977 Loss_G: 0.000011 Loss_D_real: -0.002617 Loss_D_fake 0.028360
[286/5000][495/535][29271] Loss_D: -0.032076 Loss_G: 0.028076 Loss_D_real: -0.019224 Loss_D_fake 0.012852
[286/5000][500/535][29272] Loss_D: -0.030598 Loss_G: -0.004506 Loss_D_real: -0.005709 Loss_D_fake 0.024888
[286/5000][505/535][29273] Loss_D: -0.032704 Loss_G: 0.012552 Loss_D_real: -0.026044 Loss_D_fake 0.006660
[286/5000][510/535][29274] Loss_D: -0.031419 Loss_G: 0.008357 Loss_D_real: -0.020934 Loss_D_fake 0.010484
[286/5000][515/535][29275] Loss_D: -0.033294 Loss_G: 0.028781 Loss_D_real: -0.028769 Loss_D_fake 0.004525
[286/5000][520/535][29276] Loss_D: -0.031122 Loss_G: 0.003070 Loss_D_real: -0.008741 Loss_D_fake 0.022381
[286/5000][525/535][29277] Loss_D: -0.033109 Loss_G: 0.012026 Loss_D_real: -0.017239 Loss_D_fake 0.015870
[286/5000][530/535][29278] Loss_D: -0.030521 Loss_G: 0.028222 Loss_D_real: -0.032784 Loss_D_fake -0.002262
[286/5000][535/535][29279] Loss_D: -0.029266 Loss_G: 0.031473 Loss_D_real: -0.028394 Loss_D_fake 0.000872
[287/5000][5/535][29280] Loss_D: -0.030541 Loss_G: 0.006985 Loss_D_real: -0.009339 Loss_D_fake 0.021202
[287/5000][10/535][29281] Loss_D: -0.032512 Loss_G: 0.013681 Loss_D_real: -0.019187 Loss_D_fake 0.013325
[287/5000][15/535][29282] Loss_D: -0.034034 Loss_G: 0.027696 Loss_D_real: -0.028024 Loss_D_fake 0.006011
[287/5000][20/535][29283] Loss_D: -0.031505 Loss_G: 0.029557 Loss_D_real: -0.026965 Loss_D_fake 0.004541
[287/5000][25/535][29284] Loss_D: -0.030718 Loss_G: 0.007338 Loss_D_real: -0.011020 Loss_D_fake 0.019698
[287/5000][30/535][29285] Loss_D: -0.031776 Loss_G: 0.032290 Loss_D_real: -0.033136 Loss_D_fake -0.001360
[287/5000][35/535][29286] Loss_D: -0.032080 Loss_G: -0.002885 Loss_D_real: -0.004149 Loss_D_fake 0.027931
[287/5000][40/535][29287] Loss_D: -0.029311 Loss_G: 0.036893 Loss_D_real: -0.037323 Loss_D_fake -0.008013
[287/5000][45/535][29288] Loss_D: -0.031226 Loss_G: 0.006252 Loss_D_real: -0.006961 Loss_D_fake 0.024265
[287/5000][50/535][29289] Loss_D: -0.032760 Loss_G: 0.029152 Loss_D_real: -0.029541 Loss_D_fake 0.003219
[287/5000][55/535][29290] Loss_D: -0.033355 Loss_G: 0.009855 Loss_D_real: -0.008042 Loss_D_fake 0.025313
[287/5000][60/535][29291] Loss_D: -0.033234 Loss_G: 0.000229 Loss_D_real: -0.019174 Loss_D_fake 0.014060
[287/5000][65/535][29292] Loss_D: -0.032392 Loss_G: 0.036063 Loss_D_real: -0.032241 Loss_D_fake 0.000151
[287/5000][70/535][29293] Loss_D: -0.032912 Loss_G: 0.024712 Loss_D_real: -0.024150 Loss_D_fake 0.008762
[287/5000][75/535][29294] Loss_D: -0.032130 Loss_G: 0.025813 Loss_D_real: -0.020393 Loss_D_fake 0.011737
[287/5000][80/535][29295] Loss_D: -0.032848 Loss_G: 0.035812 Loss_D_real: -0.039961 Loss_D_fake -0.007112
[287/5000][85/535][29296] Loss_D: -0.033466 Loss_G: -0.004002 Loss_D_real: -0.009337 Loss_D_fake 0.024128
[287/5000][90/535][29297] Loss_D: -0.031404 Loss_G: 0.039290 Loss_D_real: -0.040414 Loss_D_fake -0.009010
[287/5000][95/535][29298] Loss_D: -0.032324 Loss_G: 0.005996 Loss_D_real: -0.007470 Loss_D_fake 0.024854
[287/5000][100/535][29299] Loss_D: -0.033334 Loss_G: 0.006452 Loss_D_real: -0.016965 Loss_D_fake 0.016369
[287/5000][105/535][29300] Loss_D: -0.031217 Loss_G: 0.029853 Loss_D_real: -0.036608 Loss_D_fake -0.005391
[287/5000][110/535][29301] Loss_D: -0.031922 Loss_G: 0.043325 Loss_D_real: -0.037985 Loss_D_fake -0.006062
[287/5000][115/535][29302] Loss_D: -0.032437 Loss_G: 0.014179 Loss_D_real: -0.017783 Loss_D_fake 0.014654
[287/5000][120/535][29303] Loss_D: -0.032894 Loss_G: 0.007110 Loss_D_real: -0.010480 Loss_D_fake 0.022413
[287/5000][125/535][29304] Loss_D: -0.033196 Loss_G: 0.013005 Loss_D_real: -0.016202 Loss_D_fake 0.016995
[287/5000][130/535][29305] Loss_D: -0.032264 Loss_G: 0.003052 Loss_D_real: -0.004403 Loss_D_fake 0.027861
[287/5000][135/535][29306] Loss_D: -0.032554 Loss_G: 0.012938 Loss_D_real: -0.018716 Loss_D_fake 0.013838
[287/5000][140/535][29307] Loss_D: -0.031465 Loss_G: 0.026717 Loss_D_real: -0.032904 Loss_D_fake -0.001439
[287/5000][145/535][29308] Loss_D: -0.034445 Loss_G: 0.015345 Loss_D_real: -0.016864 Loss_D_fake 0.017582
[287/5000][150/535][29309] Loss_D: -0.031692 Loss_G: 0.021688 Loss_D_real: -0.030047 Loss_D_fake 0.001646
[287/5000][155/535][29310] Loss_D: -0.032721 Loss_G: 0.012766 Loss_D_real: -0.023762 Loss_D_fake 0.008959
[287/5000][160/535][29311] Loss_D: -0.033508 Loss_G: 0.011728 Loss_D_real: -0.017335 Loss_D_fake 0.016173
[287/5000][165/535][29312] Loss_D: -0.032119 Loss_G: 0.023322 Loss_D_real: -0.021600 Loss_D_fake 0.010520
[287/5000][170/535][29313] Loss_D: -0.034269 Loss_G: 0.005503 Loss_D_real: -0.019611 Loss_D_fake 0.014658
[287/5000][175/535][29314] Loss_D: -0.031834 Loss_G: -0.013673 Loss_D_real: 0.001984 Loss_D_fake 0.033818
[287/5000][180/535][29315] Loss_D: -0.031800 Loss_G: 0.030107 Loss_D_real: -0.030307 Loss_D_fake 0.001494
[287/5000][185/535][29316] Loss_D: -0.031979 Loss_G: 0.001647 Loss_D_real: -0.009515 Loss_D_fake 0.022463
[287/5000][190/535][29317] Loss_D: -0.032832 Loss_G: 0.020854 Loss_D_real: -0.029867 Loss_D_fake 0.002964
[287/5000][195/535][29318] Loss_D: -0.030337 Loss_G: 0.033128 Loss_D_real: -0.039092 Loss_D_fake -0.008755
[287/5000][200/535][29319] Loss_D: -0.033605 Loss_G: 0.025002 Loss_D_real: -0.024742 Loss_D_fake 0.008864
[287/5000][205/535][29320] Loss_D: -0.031744 Loss_G: 0.037869 Loss_D_real: -0.033542 Loss_D_fake -0.001798
[287/5000][210/535][29321] Loss_D: -0.031771 Loss_G: 0.009461 Loss_D_real: -0.005968 Loss_D_fake 0.025803
[287/5000][215/535][29322] Loss_D: -0.031021 Loss_G: 0.018385 Loss_D_real: -0.023802 Loss_D_fake 0.007219
[287/5000][220/535][29323] Loss_D: -0.032626 Loss_G: -0.009038 Loss_D_real: -0.003915 Loss_D_fake 0.028711
[287/5000][225/535][29324] Loss_D: -0.030517 Loss_G: 0.028031 Loss_D_real: -0.027405 Loss_D_fake 0.003113
[287/5000][230/535][29325] Loss_D: -0.031211 Loss_G: 0.026355 Loss_D_real: -0.025823 Loss_D_fake 0.005387
[287/5000][235/535][29326] Loss_D: -0.032033 Loss_G: 0.032955 Loss_D_real: -0.025630 Loss_D_fake 0.006403
[287/5000][240/535][29327] Loss_D: -0.031856 Loss_G: 0.006176 Loss_D_real: -0.010067 Loss_D_fake 0.021789
[287/5000][245/535][29328] Loss_D: -0.031059 Loss_G: 0.042854 Loss_D_real: -0.037251 Loss_D_fake -0.006192
[287/5000][250/535][29329] Loss_D: -0.030658 Loss_G: -0.019357 Loss_D_real: 0.004333 Loss_D_fake 0.034992
[287/5000][255/535][29330] Loss_D: -0.030544 Loss_G: 0.034149 Loss_D_real: -0.030103 Loss_D_fake 0.000441
[287/5000][260/535][29331] Loss_D: -0.031769 Loss_G: 0.011858 Loss_D_real: -0.013843 Loss_D_fake 0.017926
[287/5000][265/535][29332] Loss_D: -0.031143 Loss_G: 0.005317 Loss_D_real: -0.015844 Loss_D_fake 0.015299
[287/5000][270/535][29333] Loss_D: -0.033272 Loss_G: 0.018267 Loss_D_real: -0.024090 Loss_D_fake 0.009183
[287/5000][275/535][29334] Loss_D: -0.031793 Loss_G: 0.022218 Loss_D_real: -0.032568 Loss_D_fake -0.000775
[287/5000][280/535][29335] Loss_D: -0.033936 Loss_G: 0.033772 Loss_D_real: -0.026536 Loss_D_fake 0.007401
[287/5000][285/535][29336] Loss_D: -0.032989 Loss_G: 0.023225 Loss_D_real: -0.019210 Loss_D_fake 0.013779
[287/5000][290/535][29337] Loss_D: -0.032678 Loss_G: 0.001545 Loss_D_real: -0.015950 Loss_D_fake 0.016728
[287/5000][295/535][29338] Loss_D: -0.031320 Loss_G: 0.008983 Loss_D_real: -0.015620 Loss_D_fake 0.015700
[287/5000][300/535][29339] Loss_D: -0.030822 Loss_G: 0.014162 Loss_D_real: -0.016505 Loss_D_fake 0.014318
[287/5000][305/535][29340] Loss_D: -0.032794 Loss_G: 0.007037 Loss_D_real: -0.023739 Loss_D_fake 0.009055
[287/5000][310/535][29341] Loss_D: -0.032854 Loss_G: 0.026865 Loss_D_real: -0.027307 Loss_D_fake 0.005548
[287/5000][315/535][29342] Loss_D: -0.032511 Loss_G: 0.001097 Loss_D_real: -0.007940 Loss_D_fake 0.024571
[287/5000][320/535][29343] Loss_D: -0.033643 Loss_G: 0.016791 Loss_D_real: -0.022067 Loss_D_fake 0.011577
[287/5000][325/535][29344] Loss_D: -0.031894 Loss_G: 0.017804 Loss_D_real: -0.028053 Loss_D_fake 0.003841
[287/5000][330/535][29345] Loss_D: -0.031440 Loss_G: 0.033402 Loss_D_real: -0.036027 Loss_D_fake -0.004587
[287/5000][335/535][29346] Loss_D: -0.031602 Loss_G: 0.025704 Loss_D_real: -0.017976 Loss_D_fake 0.013626
[287/5000][340/535][29347] Loss_D: -0.031536 Loss_G: 0.008633 Loss_D_real: -0.019728 Loss_D_fake 0.011808
[287/5000][345/535][29348] Loss_D: -0.031949 Loss_G: 0.021474 Loss_D_real: -0.030846 Loss_D_fake 0.001103
[287/5000][350/535][29349] Loss_D: -0.031480 Loss_G: 0.029023 Loss_D_real: -0.027957 Loss_D_fake 0.003523
[287/5000][355/535][29350] Loss_D: -0.032172 Loss_G: 0.010003 Loss_D_real: -0.013988 Loss_D_fake 0.018184
[287/5000][360/535][29351] Loss_D: -0.030773 Loss_G: 0.032312 Loss_D_real: -0.027768 Loss_D_fake 0.003005
[287/5000][365/535][29352] Loss_D: -0.031808 Loss_G: -0.002157 Loss_D_real: -0.009513 Loss_D_fake 0.022295
[287/5000][370/535][29353] Loss_D: -0.030614 Loss_G: 0.037172 Loss_D_real: -0.033192 Loss_D_fake -0.002578
[287/5000][375/535][29354] Loss_D: -0.032902 Loss_G: 0.027450 Loss_D_real: -0.029925 Loss_D_fake 0.002977
[287/5000][380/535][29355] Loss_D: -0.032543 Loss_G: -0.006738 Loss_D_real: -0.004227 Loss_D_fake 0.028316
[287/5000][385/535][29356] Loss_D: -0.030850 Loss_G: 0.037077 Loss_D_real: -0.023214 Loss_D_fake 0.007636
[287/5000][390/535][29357] Loss_D: -0.033792 Loss_G: 0.027017 Loss_D_real: -0.029355 Loss_D_fake 0.004437
[287/5000][395/535][29358] Loss_D: -0.031885 Loss_G: 0.031170 Loss_D_real: -0.030872 Loss_D_fake 0.001013
[287/5000][400/535][29359] Loss_D: -0.031049 Loss_G: 0.001860 Loss_D_real: -0.009266 Loss_D_fake 0.021783
[287/5000][405/535][29360] Loss_D: -0.031366 Loss_G: 0.007032 Loss_D_real: -0.012315 Loss_D_fake 0.019051
[287/5000][410/535][29361] Loss_D: -0.031468 Loss_G: 0.010232 Loss_D_real: -0.013673 Loss_D_fake 0.017795
[287/5000][415/535][29362] Loss_D: -0.032184 Loss_G: 0.037275 Loss_D_real: -0.037233 Loss_D_fake -0.005049
[287/5000][420/535][29363] Loss_D: -0.030386 Loss_G: -0.003837 Loss_D_real: 0.003388 Loss_D_fake 0.033774
[287/5000][425/535][29364] Loss_D: -0.031759 Loss_G: 0.033022 Loss_D_real: -0.032886 Loss_D_fake -0.001127
[287/5000][430/535][29365] Loss_D: -0.032428 Loss_G: 0.025583 Loss_D_real: -0.028050 Loss_D_fake 0.004378
[287/5000][435/535][29366] Loss_D: -0.033308 Loss_G: 0.004081 Loss_D_real: -0.011339 Loss_D_fake 0.021970
[287/5000][440/535][29367] Loss_D: -0.031251 Loss_G: 0.027836 Loss_D_real: -0.036391 Loss_D_fake -0.005140
[287/5000][445/535][29368] Loss_D: -0.033223 Loss_G: 0.006771 Loss_D_real: -0.014069 Loss_D_fake 0.019154
[287/5000][450/535][29369] Loss_D: -0.032590 Loss_G: 0.026521 Loss_D_real: -0.027083 Loss_D_fake 0.005507
[287/5000][455/535][29370] Loss_D: -0.030865 Loss_G: 0.035767 Loss_D_real: -0.039057 Loss_D_fake -0.008192
[287/5000][460/535][29371] Loss_D: -0.033305 Loss_G: 0.011591 Loss_D_real: -0.013772 Loss_D_fake 0.019533
[287/5000][465/535][29372] Loss_D: -0.031873 Loss_G: -0.007461 Loss_D_real: -0.005408 Loss_D_fake 0.026465
[287/5000][470/535][29373] Loss_D: -0.030875 Loss_G: 0.038280 Loss_D_real: -0.033234 Loss_D_fake -0.002359
[287/5000][475/535][29374] Loss_D: -0.031649 Loss_G: -0.007565 Loss_D_real: -0.006983 Loss_D_fake 0.024665
[287/5000][480/535][29375] Loss_D: -0.031548 Loss_G: 0.026655 Loss_D_real: -0.020431 Loss_D_fake 0.011117
[287/5000][485/535][29376] Loss_D: -0.031173 Loss_G: 0.028970 Loss_D_real: -0.031016 Loss_D_fake 0.000157
[287/5000][490/535][29377] Loss_D: -0.032491 Loss_G: 0.005082 Loss_D_real: -0.025913 Loss_D_fake 0.006578
[287/5000][495/535][29378] Loss_D: -0.030043 Loss_G: 0.004862 Loss_D_real: -0.012576 Loss_D_fake 0.017467
[287/5000][500/535][29379] Loss_D: -0.032918 Loss_G: 0.026157 Loss_D_real: -0.026787 Loss_D_fake 0.006131
[287/5000][505/535][29380] Loss_D: -0.033018 Loss_G: 0.026824 Loss_D_real: -0.022077 Loss_D_fake 0.010941
[287/5000][510/535][29381] Loss_D: -0.032116 Loss_G: 0.006094 Loss_D_real: -0.015848 Loss_D_fake 0.016268
[287/5000][515/535][29382] Loss_D: -0.032405 Loss_G: 0.020124 Loss_D_real: -0.028370 Loss_D_fake 0.004035
[287/5000][520/535][29383] Loss_D: -0.033366 Loss_G: 0.023275 Loss_D_real: -0.027186 Loss_D_fake 0.006180
[287/5000][525/535][29384] Loss_D: -0.030286 Loss_G: 0.028137 Loss_D_real: -0.027785 Loss_D_fake 0.002501
[287/5000][530/535][29385] Loss_D: -0.031473 Loss_G: 0.031519 Loss_D_real: -0.029513 Loss_D_fake 0.001960
[287/5000][535/535][29386] Loss_D: -0.031221 Loss_G: 0.042164 Loss_D_real: -0.037072 Loss_D_fake -0.005851
[288/5000][5/535][29387] Loss_D: -0.031930 Loss_G: 0.005881 Loss_D_real: -0.019379 Loss_D_fake 0.012551
[288/5000][10/535][29388] Loss_D: -0.034147 Loss_G: 0.020302 Loss_D_real: -0.030818 Loss_D_fake 0.003329
[288/5000][15/535][29389] Loss_D: -0.031950 Loss_G: -0.009108 Loss_D_real: -0.003469 Loss_D_fake 0.028481
[288/5000][20/535][29390] Loss_D: -0.030109 Loss_G: 0.034527 Loss_D_real: -0.032926 Loss_D_fake -0.002817
[288/5000][25/535][29391] Loss_D: -0.032041 Loss_G: 0.013414 Loss_D_real: -0.010255 Loss_D_fake 0.021786
[288/5000][30/535][29392] Loss_D: -0.030437 Loss_G: 0.035749 Loss_D_real: -0.036713 Loss_D_fake -0.006275
[288/5000][35/535][29393] Loss_D: -0.032262 Loss_G: 0.021903 Loss_D_real: -0.020728 Loss_D_fake 0.011533
[288/5000][40/535][29394] Loss_D: -0.032349 Loss_G: 0.002072 Loss_D_real: -0.012842 Loss_D_fake 0.019506
[288/5000][45/535][29395] Loss_D: -0.033285 Loss_G: 0.026533 Loss_D_real: -0.027134 Loss_D_fake 0.006151
[288/5000][50/535][29396] Loss_D: -0.032701 Loss_G: 0.025292 Loss_D_real: -0.030797 Loss_D_fake 0.001903
[288/5000][55/535][29397] Loss_D: -0.032103 Loss_G: 0.032768 Loss_D_real: -0.039797 Loss_D_fake -0.007694
[288/5000][60/535][29398] Loss_D: -0.031034 Loss_G: 0.022356 Loss_D_real: -0.025901 Loss_D_fake 0.005133
[288/5000][65/535][29399] Loss_D: -0.032678 Loss_G: 0.012868 Loss_D_real: -0.020400 Loss_D_fake 0.012278
[288/5000][70/535][29400] Loss_D: -0.031356 Loss_G: 0.029036 Loss_D_real: -0.031152 Loss_D_fake 0.000204
[288/5000][75/535][29401] Loss_D: -0.032585 Loss_G: 0.002182 Loss_D_real: -0.006833 Loss_D_fake 0.025752
[288/5000][80/535][29402] Loss_D: -0.031458 Loss_G: 0.025767 Loss_D_real: -0.032545 Loss_D_fake -0.001087
[288/5000][85/535][29403] Loss_D: -0.032291 Loss_G: 0.007721 Loss_D_real: -0.011027 Loss_D_fake 0.021264
[288/5000][90/535][29404] Loss_D: -0.031758 Loss_G: 0.009292 Loss_D_real: -0.024434 Loss_D_fake 0.007324
[288/5000][95/535][29405] Loss_D: -0.029865 Loss_G: 0.043799 Loss_D_real: -0.044730 Loss_D_fake -0.014865
[288/5000][100/535][29406] Loss_D: -0.031724 Loss_G: 0.013960 Loss_D_real: -0.024921 Loss_D_fake 0.006803
[288/5000][105/535][29407] Loss_D: -0.034797 Loss_G: 0.011383 Loss_D_real: -0.016229 Loss_D_fake 0.018569
[288/5000][110/535][29408] Loss_D: -0.032645 Loss_G: 0.015483 Loss_D_real: -0.015864 Loss_D_fake 0.016780
[288/5000][115/535][29409] Loss_D: -0.030542 Loss_G: 0.036363 Loss_D_real: -0.034231 Loss_D_fake -0.003688
[288/5000][120/535][29410] Loss_D: -0.032941 Loss_G: 0.005956 Loss_D_real: -0.012927 Loss_D_fake 0.020014
[288/5000][125/535][29411] Loss_D: -0.031796 Loss_G: 0.021250 Loss_D_real: -0.026758 Loss_D_fake 0.005038
[288/5000][130/535][29412] Loss_D: -0.033402 Loss_G: 0.009880 Loss_D_real: -0.022287 Loss_D_fake 0.011114
[288/5000][135/535][29413] Loss_D: -0.032185 Loss_G: 0.026515 Loss_D_real: -0.028648 Loss_D_fake 0.003537
[288/5000][140/535][29414] Loss_D: -0.031886 Loss_G: 0.026876 Loss_D_real: -0.029189 Loss_D_fake 0.002697
[288/5000][145/535][29415] Loss_D: -0.031675 Loss_G: 0.001141 Loss_D_real: -0.011894 Loss_D_fake 0.019782
[288/5000][150/535][29416] Loss_D: -0.031745 Loss_G: 0.014444 Loss_D_real: -0.015935 Loss_D_fake 0.015810
[288/5000][155/535][29417] Loss_D: -0.031644 Loss_G: 0.009036 Loss_D_real: -0.022851 Loss_D_fake 0.008793
[288/5000][160/535][29418] Loss_D: -0.030677 Loss_G: 0.031229 Loss_D_real: -0.022152 Loss_D_fake 0.008526
[288/5000][165/535][29419] Loss_D: -0.033118 Loss_G: 0.024367 Loss_D_real: -0.024818 Loss_D_fake 0.008300
[288/5000][170/535][29420] Loss_D: -0.032521 Loss_G: 0.033024 Loss_D_real: -0.038588 Loss_D_fake -0.006067
[288/5000][175/535][29421] Loss_D: -0.032684 Loss_G: 0.013514 Loss_D_real: -0.014135 Loss_D_fake 0.018549
[288/5000][180/535][29422] Loss_D: -0.032749 Loss_G: 0.023460 Loss_D_real: -0.022734 Loss_D_fake 0.010015
[288/5000][185/535][29423] Loss_D: -0.034180 Loss_G: 0.007828 Loss_D_real: -0.019679 Loss_D_fake 0.014501
[288/5000][190/535][29424] Loss_D: -0.032643 Loss_G: 0.009327 Loss_D_real: -0.013624 Loss_D_fake 0.019019
[288/5000][195/535][29425] Loss_D: -0.033150 Loss_G: 0.033627 Loss_D_real: -0.030633 Loss_D_fake 0.002517
[288/5000][200/535][29426] Loss_D: -0.032458 Loss_G: 0.008655 Loss_D_real: -0.009292 Loss_D_fake 0.023166
[288/5000][205/535][29427] Loss_D: -0.034410 Loss_G: 0.016962 Loss_D_real: -0.014035 Loss_D_fake 0.020375
[288/5000][210/535][29428] Loss_D: -0.033494 Loss_G: 0.007599 Loss_D_real: -0.016463 Loss_D_fake 0.017031
[288/5000][215/535][29429] Loss_D: -0.032774 Loss_G: 0.028138 Loss_D_real: -0.024944 Loss_D_fake 0.007830
[288/5000][220/535][29430] Loss_D: -0.032170 Loss_G: 0.031243 Loss_D_real: -0.027657 Loss_D_fake 0.004513
[288/5000][225/535][29431] Loss_D: -0.031866 Loss_G: -0.007937 Loss_D_real: 0.000936 Loss_D_fake 0.032802
[288/5000][230/535][29432] Loss_D: -0.032067 Loss_G: 0.027558 Loss_D_real: -0.024323 Loss_D_fake 0.007744
[288/5000][235/535][29433] Loss_D: -0.032305 Loss_G: 0.012237 Loss_D_real: -0.020558 Loss_D_fake 0.011747
[288/5000][240/535][29434] Loss_D: -0.033514 Loss_G: 0.032161 Loss_D_real: -0.030702 Loss_D_fake 0.002812
[288/5000][245/535][29435] Loss_D: -0.031688 Loss_G: 0.009769 Loss_D_real: -0.018798 Loss_D_fake 0.012890
[288/5000][250/535][29436] Loss_D: -0.033793 Loss_G: 0.015400 Loss_D_real: -0.010007 Loss_D_fake 0.023785
[288/5000][255/535][29437] Loss_D: -0.032912 Loss_G: 0.029774 Loss_D_real: -0.034191 Loss_D_fake -0.001279
[288/5000][260/535][29438] Loss_D: -0.033891 Loss_G: 0.032448 Loss_D_real: -0.030014 Loss_D_fake 0.003877
[288/5000][265/535][29439] Loss_D: -0.031148 Loss_G: 0.013165 Loss_D_real: -0.018348 Loss_D_fake 0.012800
[288/5000][270/535][29440] Loss_D: -0.029698 Loss_G: 0.042690 Loss_D_real: -0.049407 Loss_D_fake -0.019709
[288/5000][275/535][29441] Loss_D: -0.032331 Loss_G: 0.017433 Loss_D_real: -0.029462 Loss_D_fake 0.002869
[288/5000][280/535][29442] Loss_D: -0.032635 Loss_G: -0.004867 Loss_D_real: -0.013179 Loss_D_fake 0.019456
[288/5000][285/535][29443] Loss_D: -0.031242 Loss_G: -0.007580 Loss_D_real: -0.008285 Loss_D_fake 0.022957
[288/5000][290/535][29444] Loss_D: -0.031099 Loss_G: 0.024564 Loss_D_real: -0.027104 Loss_D_fake 0.003995
[288/5000][295/535][29445] Loss_D: -0.031935 Loss_G: 0.017511 Loss_D_real: -0.014331 Loss_D_fake 0.017604
[288/5000][300/535][29446] Loss_D: -0.029381 Loss_G: 0.027373 Loss_D_real: -0.033443 Loss_D_fake -0.004062
[288/5000][305/535][29447] Loss_D: -0.031204 Loss_G: 0.003451 Loss_D_real: -0.006962 Loss_D_fake 0.024241
[288/5000][310/535][29448] Loss_D: -0.031293 Loss_G: 0.037218 Loss_D_real: -0.045371 Loss_D_fake -0.014078
[288/5000][315/535][29449] Loss_D: -0.031647 Loss_G: -0.001127 Loss_D_real: -0.001760 Loss_D_fake 0.029888
[288/5000][320/535][29450] Loss_D: -0.031791 Loss_G: 0.001286 Loss_D_real: -0.016980 Loss_D_fake 0.014811
[288/5000][325/535][29451] Loss_D: -0.031920 Loss_G: 0.016574 Loss_D_real: -0.020480 Loss_D_fake 0.011440
[288/5000][330/535][29452] Loss_D: -0.033118 Loss_G: 0.013835 Loss_D_real: -0.027626 Loss_D_fake 0.005492
[288/5000][335/535][29453] Loss_D: -0.032339 Loss_G: 0.012753 Loss_D_real: -0.017002 Loss_D_fake 0.015337
[288/5000][340/535][29454] Loss_D: -0.031069 Loss_G: 0.020145 Loss_D_real: -0.031857 Loss_D_fake -0.000788
[288/5000][345/535][29455] Loss_D: -0.032945 Loss_G: 0.024689 Loss_D_real: -0.026069 Loss_D_fake 0.006876
[288/5000][350/535][29456] Loss_D: -0.032056 Loss_G: 0.003435 Loss_D_real: -0.007233 Loss_D_fake 0.024823
[288/5000][355/535][29457] Loss_D: -0.030783 Loss_G: 0.001746 Loss_D_real: -0.005195 Loss_D_fake 0.025588
[288/5000][360/535][29458] Loss_D: -0.031433 Loss_G: 0.020020 Loss_D_real: -0.030113 Loss_D_fake 0.001319
[288/5000][365/535][29459] Loss_D: -0.030032 Loss_G: 0.008621 Loss_D_real: -0.016865 Loss_D_fake 0.013167
[288/5000][370/535][29460] Loss_D: -0.030388 Loss_G: 0.044707 Loss_D_real: -0.036220 Loss_D_fake -0.005832
[288/5000][375/535][29461] Loss_D: -0.031381 Loss_G: 0.011546 Loss_D_real: -0.008995 Loss_D_fake 0.022386
[288/5000][380/535][29462] Loss_D: -0.033278 Loss_G: 0.030697 Loss_D_real: -0.029433 Loss_D_fake 0.003845
[288/5000][385/535][29463] Loss_D: -0.031733 Loss_G: 0.009074 Loss_D_real: -0.012528 Loss_D_fake 0.019205
[288/5000][390/535][29464] Loss_D: -0.031511 Loss_G: 0.008040 Loss_D_real: -0.012025 Loss_D_fake 0.019486
[288/5000][395/535][29465] Loss_D: -0.032454 Loss_G: 0.017394 Loss_D_real: -0.014491 Loss_D_fake 0.017963
[288/5000][400/535][29466] Loss_D: -0.031744 Loss_G: 0.004538 Loss_D_real: -0.015370 Loss_D_fake 0.016374
[288/5000][405/535][29467] Loss_D: -0.031484 Loss_G: 0.031460 Loss_D_real: -0.028957 Loss_D_fake 0.002527
[288/5000][410/535][29468] Loss_D: -0.032679 Loss_G: 0.022773 Loss_D_real: -0.024740 Loss_D_fake 0.007938
[288/5000][415/535][29469] Loss_D: -0.033252 Loss_G: 0.000966 Loss_D_real: 0.000257 Loss_D_fake 0.033509
[288/5000][420/535][29470] Loss_D: -0.030884 Loss_G: 0.036879 Loss_D_real: -0.032467 Loss_D_fake -0.001582
[288/5000][425/535][29471] Loss_D: -0.032700 Loss_G: 0.010244 Loss_D_real: -0.010300 Loss_D_fake 0.022400
[288/5000][430/535][29472] Loss_D: -0.030576 Loss_G: 0.037559 Loss_D_real: -0.034071 Loss_D_fake -0.003496
[288/5000][435/535][29473] Loss_D: -0.031858 Loss_G: 0.004678 Loss_D_real: -0.004902 Loss_D_fake 0.026956
[288/5000][440/535][29474] Loss_D: -0.032233 Loss_G: -0.009297 Loss_D_real: -0.001666 Loss_D_fake 0.030567
[288/5000][445/535][29475] Loss_D: -0.030889 Loss_G: 0.029715 Loss_D_real: -0.033964 Loss_D_fake -0.003074
[288/5000][450/535][29476] Loss_D: -0.032516 Loss_G: 0.023343 Loss_D_real: -0.024269 Loss_D_fake 0.008248
[288/5000][455/535][29477] Loss_D: -0.031070 Loss_G: 0.034536 Loss_D_real: -0.037754 Loss_D_fake -0.006684
[288/5000][460/535][29478] Loss_D: -0.032322 Loss_G: -0.012830 Loss_D_real: -0.002204 Loss_D_fake 0.030117
[288/5000][465/535][29479] Loss_D: -0.030342 Loss_G: 0.028397 Loss_D_real: -0.022768 Loss_D_fake 0.007573
[288/5000][470/535][29480] Loss_D: -0.031539 Loss_G: 0.020210 Loss_D_real: -0.014849 Loss_D_fake 0.016689
[288/5000][475/535][29481] Loss_D: -0.032977 Loss_G: 0.002322 Loss_D_real: -0.018422 Loss_D_fake 0.014555
[288/5000][480/535][29482] Loss_D: -0.031287 Loss_G: 0.039869 Loss_D_real: -0.036987 Loss_D_fake -0.005700
[288/5000][485/535][29483] Loss_D: -0.033527 Loss_G: 0.019402 Loss_D_real: -0.026104 Loss_D_fake 0.007423
[288/5000][490/535][29484] Loss_D: -0.031473 Loss_G: 0.006496 Loss_D_real: -0.016924 Loss_D_fake 0.014549
[288/5000][495/535][29485] Loss_D: -0.032067 Loss_G: 0.020476 Loss_D_real: -0.019819 Loss_D_fake 0.012249
[288/5000][500/535][29486] Loss_D: -0.032911 Loss_G: 0.019869 Loss_D_real: -0.024394 Loss_D_fake 0.008516
[288/5000][505/535][29487] Loss_D: -0.032475 Loss_G: 0.019060 Loss_D_real: -0.019888 Loss_D_fake 0.012587
[288/5000][510/535][29488] Loss_D: -0.033362 Loss_G: 0.021166 Loss_D_real: -0.018326 Loss_D_fake 0.015036
[288/5000][515/535][29489] Loss_D: -0.032483 Loss_G: -0.003947 Loss_D_real: -0.007196 Loss_D_fake 0.025287
[288/5000][520/535][29490] Loss_D: -0.032185 Loss_G: 0.019164 Loss_D_real: -0.025068 Loss_D_fake 0.007118
[288/5000][525/535][29491] Loss_D: -0.029549 Loss_G: 0.042062 Loss_D_real: -0.043022 Loss_D_fake -0.013473
[288/5000][530/535][29492] Loss_D: -0.031872 Loss_G: -0.012838 Loss_D_real: -0.002303 Loss_D_fake 0.029568
[288/5000][535/535][29493] Loss_D: -0.034111 Loss_G: 0.004480 Loss_D_real: -0.036098 Loss_D_fake -0.001986
[289/5000][5/535][29494] Loss_D: -0.031038 Loss_G: 0.032165 Loss_D_real: -0.034806 Loss_D_fake -0.003768
[289/5000][10/535][29495] Loss_D: -0.032601 Loss_G: 0.023361 Loss_D_real: -0.018462 Loss_D_fake 0.014138
[289/5000][15/535][29496] Loss_D: -0.033598 Loss_G: 0.005556 Loss_D_real: -0.007760 Loss_D_fake 0.025838
[289/5000][20/535][29497] Loss_D: -0.031449 Loss_G: 0.017470 Loss_D_real: -0.015946 Loss_D_fake 0.015503
[289/5000][25/535][29498] Loss_D: -0.032370 Loss_G: 0.030706 Loss_D_real: -0.040046 Loss_D_fake -0.007676
[289/5000][30/535][29499] Loss_D: -0.034297 Loss_G: 0.004634 Loss_D_real: -0.010395 Loss_D_fake 0.023902
[289/5000][35/535][29500] Loss_D: -0.033218 Loss_G: 0.019932 Loss_D_real: -0.016448 Loss_D_fake 0.016770
[289/5000][135/535][29501] Loss_D: -0.036424 Loss_G: 0.039238 Loss_D_real: -0.033515 Loss_D_fake 0.002909
[289/5000][140/535][29502] Loss_D: -0.032996 Loss_G: 0.015209 Loss_D_real: -0.014143 Loss_D_fake 0.018853
[289/5000][145/535][29503] Loss_D: -0.030410 Loss_G: 0.006423 Loss_D_real: -0.022832 Loss_D_fake 0.007578
[289/5000][150/535][29504] Loss_D: -0.031073 Loss_G: 0.013223 Loss_D_real: -0.019659 Loss_D_fake 0.011415
[289/5000][155/535][29505] Loss_D: -0.030234 Loss_G: 0.016764 Loss_D_real: -0.019931 Loss_D_fake 0.010303
[289/5000][160/535][29506] Loss_D: -0.030965 Loss_G: 0.014896 Loss_D_real: -0.010291 Loss_D_fake 0.020674
[289/5000][165/535][29507] Loss_D: -0.030009 Loss_G: 0.014264 Loss_D_real: -0.011287 Loss_D_fake 0.018722
[289/5000][170/535][29508] Loss_D: -0.031239 Loss_G: 0.030944 Loss_D_real: -0.029916 Loss_D_fake 0.001323
[289/5000][175/535][29509] Loss_D: -0.030962 Loss_G: 0.018503 Loss_D_real: -0.019653 Loss_D_fake 0.011309
[289/5000][180/535][29510] Loss_D: -0.030828 Loss_G: 0.029774 Loss_D_real: -0.033936 Loss_D_fake -0.003108
[289/5000][185/535][29511] Loss_D: -0.032898 Loss_G: 0.002669 Loss_D_real: -0.012272 Loss_D_fake 0.020627
[289/5000][190/535][29512] Loss_D: -0.032352 Loss_G: 0.023723 Loss_D_real: -0.036498 Loss_D_fake -0.004146
[289/5000][195/535][29513] Loss_D: -0.030596 Loss_G: 0.027940 Loss_D_real: -0.022858 Loss_D_fake 0.007737
[289/5000][200/535][29514] Loss_D: -0.033233 Loss_G: 0.013369 Loss_D_real: -0.015137 Loss_D_fake 0.018096
[289/5000][205/535][29515] Loss_D: -0.032154 Loss_G: 0.009727 Loss_D_real: -0.009174 Loss_D_fake 0.022980
[289/5000][210/535][29516] Loss_D: -0.030703 Loss_G: 0.017987 Loss_D_real: -0.019878 Loss_D_fake 0.010826
[289/5000][215/535][29517] Loss_D: -0.032299 Loss_G: 0.017778 Loss_D_real: -0.020684 Loss_D_fake 0.011615
[289/5000][220/535][29518] Loss_D: -0.031750 Loss_G: 0.011744 Loss_D_real: -0.017439 Loss_D_fake 0.014311
[289/5000][225/535][29519] Loss_D: -0.031209 Loss_G: 0.019067 Loss_D_real: -0.023107 Loss_D_fake 0.008102
[289/5000][230/535][29520] Loss_D: -0.033382 Loss_G: 0.010830 Loss_D_real: -0.020020 Loss_D_fake 0.013362
[289/5000][235/535][29521] Loss_D: -0.031863 Loss_G: 0.021738 Loss_D_real: -0.023327 Loss_D_fake 0.008535
[289/5000][240/535][29522] Loss_D: -0.029922 Loss_G: 0.010350 Loss_D_real: -0.008750 Loss_D_fake 0.021172
[289/5000][245/535][29523] Loss_D: -0.031781 Loss_G: 0.032665 Loss_D_real: -0.035505 Loss_D_fake -0.003724
[289/5000][250/535][29524] Loss_D: -0.031414 Loss_G: 0.039696 Loss_D_real: -0.040134 Loss_D_fake -0.008720
[289/5000][255/535][29525] Loss_D: -0.032666 Loss_G: 0.015188 Loss_D_real: -0.020689 Loss_D_fake 0.011977
[289/5000][260/535][29526] Loss_D: -0.031632 Loss_G: 0.028212 Loss_D_real: -0.025284 Loss_D_fake 0.006348
[289/5000][265/535][29527] Loss_D: -0.031509 Loss_G: 0.041289 Loss_D_real: -0.034281 Loss_D_fake -0.002772
[289/5000][270/535][29528] Loss_D: -0.031229 Loss_G: 0.024392 Loss_D_real: -0.032223 Loss_D_fake -0.000994
[289/5000][275/535][29529] Loss_D: -0.032222 Loss_G: 0.006560 Loss_D_real: -0.017508 Loss_D_fake 0.014713
[289/5000][280/535][29530] Loss_D: -0.032183 Loss_G: 0.020877 Loss_D_real: -0.028168 Loss_D_fake 0.004015
[289/5000][285/535][29531] Loss_D: -0.031549 Loss_G: -0.006317 Loss_D_real: -0.013271 Loss_D_fake 0.018277
[289/5000][290/535][29532] Loss_D: -0.030504 Loss_G: 0.032817 Loss_D_real: -0.041527 Loss_D_fake -0.011024
[289/5000][295/535][29533] Loss_D: -0.031681 Loss_G: 0.025634 Loss_D_real: -0.030418 Loss_D_fake 0.001263
[289/5000][300/535][29534] Loss_D: -0.033335 Loss_G: 0.030063 Loss_D_real: -0.030091 Loss_D_fake 0.003244
[289/5000][305/535][29535] Loss_D: -0.032168 Loss_G: 0.003939 Loss_D_real: -0.014424 Loss_D_fake 0.017745
[289/5000][310/535][29536] Loss_D: -0.033549 Loss_G: 0.014586 Loss_D_real: -0.018048 Loss_D_fake 0.015500
[289/5000][315/535][29537] Loss_D: -0.032588 Loss_G: 0.020163 Loss_D_real: -0.021461 Loss_D_fake 0.011127
[289/5000][320/535][29538] Loss_D: -0.031180 Loss_G: 0.036138 Loss_D_real: -0.034764 Loss_D_fake -0.003585
[289/5000][325/535][29539] Loss_D: -0.031345 Loss_G: 0.037810 Loss_D_real: -0.040152 Loss_D_fake -0.008807
[289/5000][330/535][29540] Loss_D: -0.031007 Loss_G: 0.031311 Loss_D_real: -0.036412 Loss_D_fake -0.005405
[289/5000][335/535][29541] Loss_D: -0.031635 Loss_G: -0.006376 Loss_D_real: -0.004070 Loss_D_fake 0.027565
[289/5000][340/535][29542] Loss_D: -0.030700 Loss_G: 0.027644 Loss_D_real: -0.021871 Loss_D_fake 0.008829
[289/5000][345/535][29543] Loss_D: -0.030931 Loss_G: -0.001260 Loss_D_real: -0.011457 Loss_D_fake 0.019474
[289/5000][350/535][29544] Loss_D: -0.031540 Loss_G: 0.018389 Loss_D_real: -0.019599 Loss_D_fake 0.011941
[289/5000][355/535][29545] Loss_D: -0.029961 Loss_G: 0.039140 Loss_D_real: -0.035934 Loss_D_fake -0.005973
[289/5000][360/535][29546] Loss_D: -0.032154 Loss_G: -0.003129 Loss_D_real: -0.008274 Loss_D_fake 0.023880
[289/5000][365/535][29547] Loss_D: -0.029601 Loss_G: 0.029958 Loss_D_real: -0.035486 Loss_D_fake -0.005885
[289/5000][370/535][29548] Loss_D: -0.032348 Loss_G: 0.008699 Loss_D_real: -0.018523 Loss_D_fake 0.013825
[289/5000][375/535][29549] Loss_D: -0.030707 Loss_G: 0.008295 Loss_D_real: -0.021816 Loss_D_fake 0.008892
[289/5000][380/535][29550] Loss_D: -0.031406 Loss_G: 0.019239 Loss_D_real: -0.017573 Loss_D_fake 0.013833
[289/5000][385/535][29551] Loss_D: -0.034001 Loss_G: 0.014909 Loss_D_real: -0.016774 Loss_D_fake 0.017227
[289/5000][390/535][29552] Loss_D: -0.032556 Loss_G: 0.006095 Loss_D_real: -0.016286 Loss_D_fake 0.016270
[289/5000][395/535][29553] Loss_D: -0.032548 Loss_G: 0.031630 Loss_D_real: -0.037844 Loss_D_fake -0.005296
[289/5000][400/535][29554] Loss_D: -0.031367 Loss_G: 0.026697 Loss_D_real: -0.029396 Loss_D_fake 0.001971
[289/5000][405/535][29555] Loss_D: -0.033856 Loss_G: 0.002342 Loss_D_real: -0.008804 Loss_D_fake 0.025052
[289/5000][410/535][29556] Loss_D: -0.031485 Loss_G: 0.011910 Loss_D_real: -0.020455 Loss_D_fake 0.011029
[289/5000][415/535][29557] Loss_D: -0.032262 Loss_G: -0.002781 Loss_D_real: -0.000719 Loss_D_fake 0.031543
[289/5000][420/535][29558] Loss_D: -0.031983 Loss_G: 0.035408 Loss_D_real: -0.041011 Loss_D_fake -0.009028
[289/5000][425/535][29559] Loss_D: -0.032814 Loss_G: 0.001965 Loss_D_real: -0.015608 Loss_D_fake 0.017206
[289/5000][430/535][29560] Loss_D: -0.031875 Loss_G: 0.031656 Loss_D_real: -0.029698 Loss_D_fake 0.002177
[289/5000][435/535][29561] Loss_D: -0.032880 Loss_G: 0.012033 Loss_D_real: -0.020662 Loss_D_fake 0.012218
[289/5000][440/535][29562] Loss_D: -0.031531 Loss_G: 0.008625 Loss_D_real: -0.014627 Loss_D_fake 0.016904
[289/5000][445/535][29563] Loss_D: -0.032519 Loss_G: 0.024167 Loss_D_real: -0.030703 Loss_D_fake 0.001815
[289/5000][450/535][29564] Loss_D: -0.032242 Loss_G: 0.040057 Loss_D_real: -0.036792 Loss_D_fake -0.004550
[289/5000][455/535][29565] Loss_D: -0.032519 Loss_G: 0.022099 Loss_D_real: -0.022528 Loss_D_fake 0.009991
[289/5000][460/535][29566] Loss_D: -0.033161 Loss_G: 0.018977 Loss_D_real: -0.020717 Loss_D_fake 0.012444
[289/5000][465/535][29567] Loss_D: -0.031699 Loss_G: 0.041178 Loss_D_real: -0.029014 Loss_D_fake 0.002686
[289/5000][470/535][29568] Loss_D: -0.030989 Loss_G: -0.010503 Loss_D_real: -0.004982 Loss_D_fake 0.026008
[289/5000][475/535][29569] Loss_D: -0.030503 Loss_G: 0.023052 Loss_D_real: -0.027134 Loss_D_fake 0.003370
[289/5000][480/535][29570] Loss_D: -0.033470 Loss_G: 0.021259 Loss_D_real: -0.022545 Loss_D_fake 0.010925
[289/5000][485/535][29571] Loss_D: -0.031909 Loss_G: 0.014679 Loss_D_real: -0.025910 Loss_D_fake 0.006000
[289/5000][490/535][29572] Loss_D: -0.032987 Loss_G: 0.017241 Loss_D_real: -0.032324 Loss_D_fake 0.000664
[289/5000][495/535][29573] Loss_D: -0.031440 Loss_G: 0.019257 Loss_D_real: -0.017048 Loss_D_fake 0.014392
[289/5000][500/535][29574] Loss_D: -0.032402 Loss_G: 0.004833 Loss_D_real: -0.014885 Loss_D_fake 0.017517
[289/5000][505/535][29575] Loss_D: -0.032241 Loss_G: 0.015922 Loss_D_real: -0.017675 Loss_D_fake 0.014566
[289/5000][510/535][29576] Loss_D: -0.032205 Loss_G: 0.020573 Loss_D_real: -0.029247 Loss_D_fake 0.002959
[289/5000][515/535][29577] Loss_D: -0.033079 Loss_G: 0.031505 Loss_D_real: -0.031011 Loss_D_fake 0.002068
[289/5000][520/535][29578] Loss_D: -0.032506 Loss_G: 0.011981 Loss_D_real: -0.017806 Loss_D_fake 0.014700
[289/5000][525/535][29579] Loss_D: -0.031905 Loss_G: 0.029780 Loss_D_real: -0.024318 Loss_D_fake 0.007587
[289/5000][530/535][29580] Loss_D: -0.033571 Loss_G: 0.021169 Loss_D_real: -0.025951 Loss_D_fake 0.007620
[289/5000][535/535][29581] Loss_D: -0.032729 Loss_G: 0.038666 Loss_D_real: -0.044340 Loss_D_fake -0.011612
[290/5000][5/535][29582] Loss_D: -0.032810 Loss_G: -0.006621 Loss_D_real: -0.001146 Loss_D_fake 0.031664
[290/5000][10/535][29583] Loss_D: -0.030574 Loss_G: 0.015783 Loss_D_real: -0.018137 Loss_D_fake 0.012437
[290/5000][15/535][29584] Loss_D: -0.031018 Loss_G: 0.017951 Loss_D_real: -0.019957 Loss_D_fake 0.011060
[290/5000][20/535][29585] Loss_D: -0.032331 Loss_G: -0.003948 Loss_D_real: -0.004627 Loss_D_fake 0.027704
[290/5000][25/535][29586] Loss_D: -0.031135 Loss_G: 0.034004 Loss_D_real: -0.040633 Loss_D_fake -0.009498
[290/5000][30/535][29587] Loss_D: -0.032962 Loss_G: 0.029623 Loss_D_real: -0.023301 Loss_D_fake 0.009660
[290/5000][35/535][29588] Loss_D: -0.032061 Loss_G: -0.009146 Loss_D_real: -0.002272 Loss_D_fake 0.029788
[290/5000][40/535][29589] Loss_D: -0.032287 Loss_G: 0.023165 Loss_D_real: -0.028698 Loss_D_fake 0.003589
[290/5000][45/535][29590] Loss_D: -0.030765 Loss_G: 0.020013 Loss_D_real: -0.018033 Loss_D_fake 0.012732
[290/5000][50/535][29591] Loss_D: -0.031756 Loss_G: 0.014462 Loss_D_real: -0.017002 Loss_D_fake 0.014753
[290/5000][55/535][29592] Loss_D: -0.033462 Loss_G: 0.013367 Loss_D_real: -0.020487 Loss_D_fake 0.012975
[290/5000][60/535][29593] Loss_D: -0.031358 Loss_G: 0.036235 Loss_D_real: -0.031606 Loss_D_fake -0.000248
[290/5000][65/535][29594] Loss_D: -0.031141 Loss_G: 0.013771 Loss_D_real: -0.015732 Loss_D_fake 0.015409
[290/5000][70/535][29595] Loss_D: -0.032790 Loss_G: 0.016066 Loss_D_real: -0.020401 Loss_D_fake 0.012389
[290/5000][75/535][29596] Loss_D: -0.031123 Loss_G: 0.027212 Loss_D_real: -0.031495 Loss_D_fake -0.000372
[290/5000][80/535][29597] Loss_D: -0.029298 Loss_G: 0.037045 Loss_D_real: -0.033696 Loss_D_fake -0.004398
[290/5000][85/535][29598] Loss_D: -0.032196 Loss_G: 0.006607 Loss_D_real: -0.016614 Loss_D_fake 0.015582
[290/5000][90/535][29599] Loss_D: -0.031849 Loss_G: 0.005754 Loss_D_real: -0.008602 Loss_D_fake 0.023248
[290/5000][95/535][29600] Loss_D: -0.031215 Loss_G: -0.008448 Loss_D_real: -0.007080 Loss_D_fake 0.024135
[290/5000][100/535][29601] Loss_D: -0.030450 Loss_G: 0.014246 Loss_D_real: -0.029216 Loss_D_fake 0.001234
[290/5000][105/535][29602] Loss_D: -0.032032 Loss_G: 0.025354 Loss_D_real: -0.023927 Loss_D_fake 0.008106
[290/5000][110/535][29603] Loss_D: -0.031198 Loss_G: 0.022774 Loss_D_real: -0.023276 Loss_D_fake 0.007922
[290/5000][115/535][29604] Loss_D: -0.032967 Loss_G: -0.001920 Loss_D_real: -0.011878 Loss_D_fake 0.021088
[290/5000][120/535][29605] Loss_D: -0.032166 Loss_G: 0.018845 Loss_D_real: -0.024292 Loss_D_fake 0.007874
[290/5000][125/535][29606] Loss_D: -0.032008 Loss_G: -0.003111 Loss_D_real: -0.014455 Loss_D_fake 0.017552
[290/5000][130/535][29607] Loss_D: -0.032594 Loss_G: 0.028562 Loss_D_real: -0.025926 Loss_D_fake 0.006668
[290/5000][135/535][29608] Loss_D: -0.031947 Loss_G: 0.045443 Loss_D_real: -0.039940 Loss_D_fake -0.007993
[290/5000][140/535][29609] Loss_D: -0.032229 Loss_G: 0.004139 Loss_D_real: -0.005599 Loss_D_fake 0.026630
[290/5000][145/535][29610] Loss_D: -0.032584 Loss_G: 0.006807 Loss_D_real: -0.015501 Loss_D_fake 0.017083
[290/5000][150/535][29611] Loss_D: -0.032388 Loss_G: 0.013370 Loss_D_real: -0.017658 Loss_D_fake 0.014731
[290/5000][155/535][29612] Loss_D: -0.031910 Loss_G: 0.032635 Loss_D_real: -0.027380 Loss_D_fake 0.004531
[290/5000][160/535][29613] Loss_D: -0.032052 Loss_G: 0.013849 Loss_D_real: -0.019849 Loss_D_fake 0.012203
[290/5000][165/535][29614] Loss_D: -0.031018 Loss_G: 0.029222 Loss_D_real: -0.031409 Loss_D_fake -0.000391
[290/5000][170/535][29615] Loss_D: -0.033669 Loss_G: 0.014773 Loss_D_real: -0.024556 Loss_D_fake 0.009113
[290/5000][175/535][29616] Loss_D: -0.033780 Loss_G: 0.033898 Loss_D_real: -0.025614 Loss_D_fake 0.008165
[290/5000][180/535][29617] Loss_D: -0.031542 Loss_G: 0.022361 Loss_D_real: -0.024687 Loss_D_fake 0.006855
[290/5000][185/535][29618] Loss_D: -0.032001 Loss_G: 0.022179 Loss_D_real: -0.022048 Loss_D_fake 0.009953
[290/5000][190/535][29619] Loss_D: -0.033265 Loss_G: 0.006477 Loss_D_real: -0.011672 Loss_D_fake 0.021593
[290/5000][195/535][29620] Loss_D: -0.031962 Loss_G: -0.000935 Loss_D_real: -0.007898 Loss_D_fake 0.024064
[290/5000][200/535][29621] Loss_D: -0.032443 Loss_G: 0.032063 Loss_D_real: -0.030680 Loss_D_fake 0.001763
[290/5000][205/535][29622] Loss_D: -0.032497 Loss_G: 0.011402 Loss_D_real: -0.019227 Loss_D_fake 0.013269
[290/5000][210/535][29623] Loss_D: -0.032174 Loss_G: 0.032026 Loss_D_real: -0.036389 Loss_D_fake -0.004215
[290/5000][215/535][29624] Loss_D: -0.031138 Loss_G: -0.014753 Loss_D_real: -0.001869 Loss_D_fake 0.029269
[290/5000][220/535][29625] Loss_D: -0.032318 Loss_G: 0.027090 Loss_D_real: -0.029607 Loss_D_fake 0.002712
[290/5000][225/535][29626] Loss_D: -0.030849 Loss_G: 0.018460 Loss_D_real: -0.014979 Loss_D_fake 0.015870
[290/5000][230/535][29627] Loss_D: -0.032114 Loss_G: 0.008121 Loss_D_real: -0.013125 Loss_D_fake 0.018989
[290/5000][235/535][29628] Loss_D: -0.032074 Loss_G: 0.038255 Loss_D_real: -0.027632 Loss_D_fake 0.004442
[290/5000][240/535][29629] Loss_D: -0.033078 Loss_G: 0.007793 Loss_D_real: -0.016795 Loss_D_fake 0.016283
[290/5000][245/535][29630] Loss_D: -0.031801 Loss_G: -0.016229 Loss_D_real: -0.004120 Loss_D_fake 0.027681
[290/5000][250/535][29631] Loss_D: -0.029410 Loss_G: 0.030701 Loss_D_real: -0.028492 Loss_D_fake 0.000919
[290/5000][255/535][29632] Loss_D: -0.030003 Loss_G: 0.025499 Loss_D_real: -0.032770 Loss_D_fake -0.002767
[290/5000][260/535][29633] Loss_D: -0.033682 Loss_G: 0.006532 Loss_D_real: -0.010122 Loss_D_fake 0.023560
[290/5000][265/535][29634] Loss_D: -0.031462 Loss_G: 0.035513 Loss_D_real: -0.035563 Loss_D_fake -0.004101
[290/5000][270/535][29635] Loss_D: -0.032059 Loss_G: 0.001871 Loss_D_real: -0.011606 Loss_D_fake 0.020453
[290/5000][275/535][29636] Loss_D: -0.031571 Loss_G: 0.023977 Loss_D_real: -0.034193 Loss_D_fake -0.002622
[290/5000][280/535][29637] Loss_D: -0.029858 Loss_G: 0.036860 Loss_D_real: -0.040848 Loss_D_fake -0.010990
[290/5000][285/535][29638] Loss_D: -0.032297 Loss_G: 0.003755 Loss_D_real: -0.012993 Loss_D_fake 0.019304
[290/5000][290/535][29639] Loss_D: -0.030988 Loss_G: 0.015501 Loss_D_real: -0.019628 Loss_D_fake 0.011360
[290/5000][295/535][29640] Loss_D: -0.033519 Loss_G: 0.019772 Loss_D_real: -0.014518 Loss_D_fake 0.019001
[290/5000][300/535][29641] Loss_D: -0.031104 Loss_G: 0.033865 Loss_D_real: -0.027446 Loss_D_fake 0.003658
[290/5000][305/535][29642] Loss_D: -0.031544 Loss_G: 0.002811 Loss_D_real: -0.011655 Loss_D_fake 0.019889
[290/5000][310/535][29643] Loss_D: -0.032312 Loss_G: 0.030380 Loss_D_real: -0.033426 Loss_D_fake -0.001115
[290/5000][315/535][29644] Loss_D: -0.034071 Loss_G: 0.017221 Loss_D_real: -0.023659 Loss_D_fake 0.010412
[290/5000][320/535][29645] Loss_D: -0.032218 Loss_G: 0.039719 Loss_D_real: -0.034506 Loss_D_fake -0.002288
[290/5000][325/535][29646] Loss_D: -0.030508 Loss_G: -0.009879 Loss_D_real: 0.000041 Loss_D_fake 0.030549
[290/5000][330/535][29647] Loss_D: -0.031458 Loss_G: 0.022388 Loss_D_real: -0.026384 Loss_D_fake 0.005073
[290/5000][335/535][29648] Loss_D: -0.032650 Loss_G: 0.014297 Loss_D_real: -0.016543 Loss_D_fake 0.016106
[290/5000][340/535][29649] Loss_D: -0.030730 Loss_G: -0.005454 Loss_D_real: -0.006845 Loss_D_fake 0.023885
[290/5000][345/535][29650] Loss_D: -0.031090 Loss_G: 0.028072 Loss_D_real: -0.035199 Loss_D_fake -0.004109
[290/5000][350/535][29651] Loss_D: -0.031888 Loss_G: 0.007774 Loss_D_real: -0.004453 Loss_D_fake 0.027435
[290/5000][355/535][29652] Loss_D: -0.032247 Loss_G: 0.009862 Loss_D_real: -0.011362 Loss_D_fake 0.020885
[290/5000][360/535][29653] Loss_D: -0.031092 Loss_G: 0.002550 Loss_D_real: -0.008778 Loss_D_fake 0.022313
[290/5000][365/535][29654] Loss_D: -0.032046 Loss_G: 0.010158 Loss_D_real: -0.022259 Loss_D_fake 0.009787
[290/5000][370/535][29655] Loss_D: -0.031746 Loss_G: 0.011853 Loss_D_real: -0.017905 Loss_D_fake 0.013842
[290/5000][375/535][29656] Loss_D: -0.031206 Loss_G: 0.018791 Loss_D_real: -0.016383 Loss_D_fake 0.014823
[290/5000][380/535][29657] Loss_D: -0.031330 Loss_G: 0.023976 Loss_D_real: -0.025750 Loss_D_fake 0.005580
[290/5000][385/535][29658] Loss_D: -0.035181 Loss_G: -0.000682 Loss_D_real: -0.013685 Loss_D_fake 0.021497
[290/5000][390/535][29659] Loss_D: -0.032887 Loss_G: 0.036038 Loss_D_real: -0.034147 Loss_D_fake -0.001260
[290/5000][395/535][29660] Loss_D: -0.030755 Loss_G: -0.012473 Loss_D_real: -0.000557 Loss_D_fake 0.030198
[290/5000][400/535][29661] Loss_D: -0.032065 Loss_G: 0.005413 Loss_D_real: -0.013384 Loss_D_fake 0.018681
[290/5000][405/535][29662] Loss_D: -0.032540 Loss_G: 0.034984 Loss_D_real: -0.029514 Loss_D_fake 0.003026
[290/5000][410/535][29663] Loss_D: -0.033463 Loss_G: 0.035624 Loss_D_real: -0.028705 Loss_D_fake 0.004758
[290/5000][415/535][29664] Loss_D: -0.032361 Loss_G: 0.000803 Loss_D_real: -0.013203 Loss_D_fake 0.019158
[290/5000][420/535][29665] Loss_D: -0.032180 Loss_G: 0.035304 Loss_D_real: -0.041599 Loss_D_fake -0.009419
[290/5000][425/535][29666] Loss_D: -0.033648 Loss_G: 0.002367 Loss_D_real: -0.011096 Loss_D_fake 0.022552
[290/5000][430/535][29667] Loss_D: -0.031905 Loss_G: 0.013887 Loss_D_real: -0.019005 Loss_D_fake 0.012900
[290/5000][435/535][29668] Loss_D: -0.031717 Loss_G: 0.041984 Loss_D_real: -0.032837 Loss_D_fake -0.001120
[290/5000][440/535][29669] Loss_D: -0.032344 Loss_G: -0.008804 Loss_D_real: -0.003501 Loss_D_fake 0.028843
[290/5000][445/535][29670] Loss_D: -0.032942 Loss_G: 0.033505 Loss_D_real: -0.026854 Loss_D_fake 0.006088
[290/5000][450/535][29671] Loss_D: -0.032854 Loss_G: 0.009643 Loss_D_real: -0.023864 Loss_D_fake 0.008990
[290/5000][455/535][29672] Loss_D: -0.032748 Loss_G: 0.012552 Loss_D_real: -0.015946 Loss_D_fake 0.016802
[290/5000][460/535][29673] Loss_D: -0.033225 Loss_G: 0.029473 Loss_D_real: -0.026670 Loss_D_fake 0.006556
[290/5000][465/535][29674] Loss_D: -0.031485 Loss_G: 0.034583 Loss_D_real: -0.031298 Loss_D_fake 0.000187
[290/5000][470/535][29675] Loss_D: -0.030089 Loss_G: -0.005306 Loss_D_real: -0.001833 Loss_D_fake 0.028256
[290/5000][475/535][29676] Loss_D: -0.032264 Loss_G: 0.026151 Loss_D_real: -0.033107 Loss_D_fake -0.000843
[290/5000][480/535][29677] Loss_D: -0.032214 Loss_G: 0.032394 Loss_D_real: -0.026296 Loss_D_fake 0.005919
[290/5000][485/535][29678] Loss_D: -0.031671 Loss_G: 0.005214 Loss_D_real: -0.017039 Loss_D_fake 0.014631
[290/5000][490/535][29679] Loss_D: -0.030592 Loss_G: 0.021541 Loss_D_real: -0.018894 Loss_D_fake 0.011698
[290/5000][495/535][29680] Loss_D: -0.032927 Loss_G: 0.018259 Loss_D_real: -0.023197 Loss_D_fake 0.009730
[290/5000][500/535][29681] Loss_D: -0.030975 Loss_G: -0.004587 Loss_D_real: -0.004688 Loss_D_fake 0.026287
[290/5000][505/535][29682] Loss_D: -0.031200 Loss_G: 0.025769 Loss_D_real: -0.028766 Loss_D_fake 0.002435
[290/5000][510/535][29683] Loss_D: -0.030745 Loss_G: 0.014750 Loss_D_real: -0.017247 Loss_D_fake 0.013498
[290/5000][515/535][29684] Loss_D: -0.032255 Loss_G: 0.021245 Loss_D_real: -0.018507 Loss_D_fake 0.013748
[290/5000][520/535][29685] Loss_D: -0.033024 Loss_G: -0.004734 Loss_D_real: 0.000673 Loss_D_fake 0.033697
[290/5000][525/535][29686] Loss_D: -0.031825 Loss_G: 0.039928 Loss_D_real: -0.034821 Loss_D_fake -0.002996
[290/5000][530/535][29687] Loss_D: -0.032224 Loss_G: -0.005646 Loss_D_real: -0.006347 Loss_D_fake 0.025877
[290/5000][535/535][29688] Loss_D: -0.028105 Loss_G: 0.038441 Loss_D_real: -0.025048 Loss_D_fake 0.003057
[291/5000][5/535][29689] Loss_D: -0.033639 Loss_G: 0.002580 Loss_D_real: -0.010310 Loss_D_fake 0.023329
[291/5000][10/535][29690] Loss_D: -0.032365 Loss_G: 0.004477 Loss_D_real: -0.010797 Loss_D_fake 0.021568
[291/5000][15/535][29691] Loss_D: -0.033172 Loss_G: 0.022670 Loss_D_real: -0.025276 Loss_D_fake 0.007896
[291/5000][20/535][29692] Loss_D: -0.032243 Loss_G: 0.037567 Loss_D_real: -0.037210 Loss_D_fake -0.004967
[291/5000][25/535][29693] Loss_D: -0.030666 Loss_G: -0.003087 Loss_D_real: 0.002036 Loss_D_fake 0.032702
[291/5000][30/535][29694] Loss_D: -0.031247 Loss_G: 0.016833 Loss_D_real: -0.021285 Loss_D_fake 0.009962
[291/5000][35/535][29695] Loss_D: -0.031450 Loss_G: 0.005221 Loss_D_real: -0.008643 Loss_D_fake 0.022807
[291/5000][40/535][29696] Loss_D: -0.034297 Loss_G: 0.009881 Loss_D_real: -0.007657 Loss_D_fake 0.026639
[291/5000][45/535][29697] Loss_D: -0.032272 Loss_G: 0.025091 Loss_D_real: -0.024748 Loss_D_fake 0.007524
[291/5000][50/535][29698] Loss_D: -0.031837 Loss_G: 0.021091 Loss_D_real: -0.023935 Loss_D_fake 0.007902
[291/5000][55/535][29699] Loss_D: -0.032897 Loss_G: 0.016494 Loss_D_real: -0.022755 Loss_D_fake 0.010142
[291/5000][60/535][29700] Loss_D: -0.032285 Loss_G: 0.039330 Loss_D_real: -0.041012 Loss_D_fake -0.008727
[291/5000][65/535][29701] Loss_D: -0.032745 Loss_G: 0.001022 Loss_D_real: -0.010118 Loss_D_fake 0.022628
[291/5000][70/535][29702] Loss_D: -0.032902 Loss_G: 0.025275 Loss_D_real: -0.023182 Loss_D_fake 0.009720
[291/5000][75/535][29703] Loss_D: -0.031605 Loss_G: -0.003730 Loss_D_real: -0.003806 Loss_D_fake 0.027799
[291/5000][80/535][29704] Loss_D: -0.031509 Loss_G: 0.027412 Loss_D_real: -0.031155 Loss_D_fake 0.000354
[291/5000][85/535][29705] Loss_D: -0.030955 Loss_G: -0.005772 Loss_D_real: -0.003179 Loss_D_fake 0.027775
[291/5000][90/535][29706] Loss_D: -0.032426 Loss_G: 0.040340 Loss_D_real: -0.035582 Loss_D_fake -0.003156
[291/5000][95/535][29707] Loss_D: -0.033161 Loss_G: 0.010792 Loss_D_real: -0.016117 Loss_D_fake 0.017044
[291/5000][100/535][29708] Loss_D: -0.031707 Loss_G: 0.003106 Loss_D_real: -0.002048 Loss_D_fake 0.029659
[291/5000][105/535][29709] Loss_D: -0.031251 Loss_G: 0.016975 Loss_D_real: -0.020765 Loss_D_fake 0.010486
[291/5000][110/535][29710] Loss_D: -0.031933 Loss_G: 0.010377 Loss_D_real: -0.022734 Loss_D_fake 0.009199
[291/5000][115/535][29711] Loss_D: -0.031892 Loss_G: 0.036836 Loss_D_real: -0.034150 Loss_D_fake -0.002259
[291/5000][120/535][29712] Loss_D: -0.031770 Loss_G: 0.016676 Loss_D_real: -0.019391 Loss_D_fake 0.012379
[291/5000][125/535][29713] Loss_D: -0.033070 Loss_G: 0.021474 Loss_D_real: -0.021607 Loss_D_fake 0.011463
[291/5000][130/535][29714] Loss_D: -0.033522 Loss_G: 0.026510 Loss_D_real: -0.028174 Loss_D_fake 0.005348
[291/5000][135/535][29715] Loss_D: -0.033162 Loss_G: 0.017357 Loss_D_real: -0.024340 Loss_D_fake 0.008822
[291/5000][140/535][29716] Loss_D: -0.032092 Loss_G: 0.018580 Loss_D_real: -0.018644 Loss_D_fake 0.013448
[291/5000][145/535][29717] Loss_D: -0.033102 Loss_G: 0.028431 Loss_D_real: -0.031029 Loss_D_fake 0.002073
[291/5000][150/535][29718] Loss_D: -0.033150 Loss_G: 0.032037 Loss_D_real: -0.025678 Loss_D_fake 0.007473
[291/5000][155/535][29719] Loss_D: -0.031707 Loss_G: 0.000786 Loss_D_real: -0.003954 Loss_D_fake 0.027753
[291/5000][160/535][29720] Loss_D: -0.032315 Loss_G: 0.032913 Loss_D_real: -0.031801 Loss_D_fake 0.000514
[291/5000][165/535][29721] Loss_D: -0.032717 Loss_G: 0.003395 Loss_D_real: -0.012405 Loss_D_fake 0.020312
[291/5000][170/535][29722] Loss_D: -0.032352 Loss_G: 0.033243 Loss_D_real: -0.039512 Loss_D_fake -0.007161
[291/5000][175/535][29723] Loss_D: -0.033238 Loss_G: 0.025931 Loss_D_real: -0.030031 Loss_D_fake 0.003207
[291/5000][180/535][29724] Loss_D: -0.030979 Loss_G: 0.029530 Loss_D_real: -0.033605 Loss_D_fake -0.002627
[291/5000][185/535][29725] Loss_D: -0.030665 Loss_G: -0.010082 Loss_D_real: -0.000054 Loss_D_fake 0.030611
[291/5000][190/535][29726] Loss_D: -0.029903 Loss_G: 0.000226 Loss_D_real: -0.020670 Loss_D_fake 0.009233
[291/5000][195/535][29727] Loss_D: -0.031569 Loss_G: 0.014602 Loss_D_real: -0.012402 Loss_D_fake 0.019167
[291/5000][200/535][29728] Loss_D: -0.030191 Loss_G: 0.016367 Loss_D_real: -0.027281 Loss_D_fake 0.002911
[291/5000][205/535][29729] Loss_D: -0.031652 Loss_G: 0.031459 Loss_D_real: -0.022767 Loss_D_fake 0.008885
[291/5000][210/535][29730] Loss_D: -0.033590 Loss_G: 0.015079 Loss_D_real: -0.022704 Loss_D_fake 0.010886
[291/5000][215/535][29731] Loss_D: -0.031201 Loss_G: 0.036398 Loss_D_real: -0.033998 Loss_D_fake -0.002797
[291/5000][220/535][29732] Loss_D: -0.032136 Loss_G: 0.017090 Loss_D_real: -0.024589 Loss_D_fake 0.007548
[291/5000][225/535][29733] Loss_D: -0.031993 Loss_G: 0.036608 Loss_D_real: -0.035988 Loss_D_fake -0.003995
[291/5000][230/535][29734] Loss_D: -0.031690 Loss_G: 0.038049 Loss_D_real: -0.030852 Loss_D_fake 0.000838
[291/5000][235/535][29735] Loss_D: -0.031278 Loss_G: -0.016165 Loss_D_real: -0.003616 Loss_D_fake 0.027662
[291/5000][240/535][29736] Loss_D: -0.030727 Loss_G: 0.017337 Loss_D_real: -0.025714 Loss_D_fake 0.005014
[291/5000][245/535][29737] Loss_D: -0.031665 Loss_G: 0.022792 Loss_D_real: -0.033760 Loss_D_fake -0.002095
[291/5000][250/535][29738] Loss_D: -0.033201 Loss_G: 0.011037 Loss_D_real: -0.020868 Loss_D_fake 0.012333
[291/5000][255/535][29739] Loss_D: -0.032534 Loss_G: 0.020485 Loss_D_real: -0.020958 Loss_D_fake 0.011577
[291/5000][260/535][29740] Loss_D: -0.030389 Loss_G: -0.006415 Loss_D_real: -0.006634 Loss_D_fake 0.023755
[291/5000][265/535][29741] Loss_D: -0.031641 Loss_G: 0.011201 Loss_D_real: -0.028724 Loss_D_fake 0.002916
[291/5000][270/535][29742] Loss_D: -0.031804 Loss_G: 0.032589 Loss_D_real: -0.026801 Loss_D_fake 0.005003
[291/5000][275/535][29743] Loss_D: -0.031623 Loss_G: 0.008436 Loss_D_real: -0.015067 Loss_D_fake 0.016556
[291/5000][280/535][29744] Loss_D: -0.031581 Loss_G: 0.019891 Loss_D_real: -0.022572 Loss_D_fake 0.009009
[291/5000][285/535][29745] Loss_D: -0.032578 Loss_G: 0.028569 Loss_D_real: -0.018234 Loss_D_fake 0.014345
[291/5000][290/535][29746] Loss_D: -0.033512 Loss_G: 0.011216 Loss_D_real: -0.014605 Loss_D_fake 0.018907
[291/5000][295/535][29747] Loss_D: -0.031588 Loss_G: 0.041527 Loss_D_real: -0.039303 Loss_D_fake -0.007715
[291/5000][300/535][29748] Loss_D: -0.032323 Loss_G: -0.003179 Loss_D_real: -0.010480 Loss_D_fake 0.021843
[291/5000][305/535][29749] Loss_D: -0.029741 Loss_G: 0.034797 Loss_D_real: -0.035700 Loss_D_fake -0.005959
[291/5000][310/535][29750] Loss_D: -0.032165 Loss_G: 0.026212 Loss_D_real: -0.013628 Loss_D_fake 0.018538
[291/5000][315/535][29751] Loss_D: -0.032178 Loss_G: 0.021765 Loss_D_real: -0.029118 Loss_D_fake 0.003059
[291/5000][320/535][29752] Loss_D: -0.033739 Loss_G: 0.020298 Loss_D_real: -0.024235 Loss_D_fake 0.009504
[291/5000][325/535][29753] Loss_D: -0.031916 Loss_G: 0.032691 Loss_D_real: -0.032169 Loss_D_fake -0.000253
[291/5000][330/535][29754] Loss_D: -0.030315 Loss_G: -0.006241 Loss_D_real: -0.001248 Loss_D_fake 0.029067
[291/5000][335/535][29755] Loss_D: -0.030365 Loss_G: 0.017951 Loss_D_real: -0.014927 Loss_D_fake 0.015438
[291/5000][340/535][29756] Loss_D: -0.032103 Loss_G: 0.031549 Loss_D_real: -0.040053 Loss_D_fake -0.007949
[291/5000][345/535][29757] Loss_D: -0.032929 Loss_G: 0.005581 Loss_D_real: -0.013758 Loss_D_fake 0.019171
[291/5000][350/535][29758] Loss_D: -0.032801 Loss_G: 0.001350 Loss_D_real: -0.002698 Loss_D_fake 0.030102
[291/5000][355/535][29759] Loss_D: -0.031055 Loss_G: 0.027789 Loss_D_real: -0.025721 Loss_D_fake 0.005334
[291/5000][360/535][29760] Loss_D: -0.033333 Loss_G: 0.001190 Loss_D_real: -0.010314 Loss_D_fake 0.023019
[291/5000][365/535][29761] Loss_D: -0.031611 Loss_G: 0.036483 Loss_D_real: -0.036514 Loss_D_fake -0.004903
[291/5000][370/535][29762] Loss_D: -0.031478 Loss_G: 0.001209 Loss_D_real: -0.006701 Loss_D_fake 0.024777
[291/5000][375/535][29763] Loss_D: -0.031880 Loss_G: 0.013521 Loss_D_real: -0.018460 Loss_D_fake 0.013420
[291/5000][380/535][29764] Loss_D: -0.030905 Loss_G: 0.035127 Loss_D_real: -0.029041 Loss_D_fake 0.001865
[291/5000][385/535][29765] Loss_D: -0.032265 Loss_G: 0.001116 Loss_D_real: -0.010267 Loss_D_fake 0.021998
[291/5000][390/535][29766] Loss_D: -0.030280 Loss_G: 0.028095 Loss_D_real: -0.031754 Loss_D_fake -0.001474
[291/5000][395/535][29767] Loss_D: -0.031859 Loss_G: 0.017567 Loss_D_real: -0.015855 Loss_D_fake 0.016004
[291/5000][400/535][29768] Loss_D: -0.032104 Loss_G: 0.026706 Loss_D_real: -0.039321 Loss_D_fake -0.007217
[291/5000][405/535][29769] Loss_D: -0.032179 Loss_G: -0.001724 Loss_D_real: 0.001204 Loss_D_fake 0.033383
[291/5000][410/535][29770] Loss_D: -0.032148 Loss_G: 0.010576 Loss_D_real: -0.021204 Loss_D_fake 0.010944
[291/5000][415/535][29771] Loss_D: -0.032092 Loss_G: -0.000718 Loss_D_real: -0.010929 Loss_D_fake 0.021163
[291/5000][420/535][29772] Loss_D: -0.032333 Loss_G: 0.018921 Loss_D_real: -0.023441 Loss_D_fake 0.008892
[291/5000][425/535][29773] Loss_D: -0.032749 Loss_G: 0.019622 Loss_D_real: -0.019118 Loss_D_fake 0.013631
[291/5000][430/535][29774] Loss_D: -0.031756 Loss_G: 0.008285 Loss_D_real: -0.017659 Loss_D_fake 0.014097
[291/5000][435/535][29775] Loss_D: -0.032134 Loss_G: 0.006200 Loss_D_real: -0.021264 Loss_D_fake 0.010870
[291/5000][440/535][29776] Loss_D: -0.031789 Loss_G: 0.026347 Loss_D_real: -0.032151 Loss_D_fake -0.000362
[291/5000][445/535][29777] Loss_D: -0.032666 Loss_G: 0.005338 Loss_D_real: -0.008698 Loss_D_fake 0.023967
[291/5000][450/535][29778] Loss_D: -0.030945 Loss_G: 0.022369 Loss_D_real: -0.023970 Loss_D_fake 0.006974
[291/5000][455/535][29779] Loss_D: -0.032563 Loss_G: 0.013425 Loss_D_real: -0.011839 Loss_D_fake 0.020723
[291/5000][460/535][29780] Loss_D: -0.030458 Loss_G: -0.021941 Loss_D_real: -0.001677 Loss_D_fake 0.028781
[291/5000][465/535][29781] Loss_D: -0.031743 Loss_G: 0.032592 Loss_D_real: -0.032732 Loss_D_fake -0.000988
[291/5000][470/535][29782] Loss_D: -0.032473 Loss_G: 0.020275 Loss_D_real: -0.025919 Loss_D_fake 0.006553
[291/5000][475/535][29783] Loss_D: -0.032781 Loss_G: 0.021391 Loss_D_real: -0.024995 Loss_D_fake 0.007786
[291/5000][480/535][29784] Loss_D: -0.031264 Loss_G: 0.018898 Loss_D_real: -0.022831 Loss_D_fake 0.008433
[291/5000][485/535][29785] Loss_D: -0.031776 Loss_G: -0.000922 Loss_D_real: -0.003052 Loss_D_fake 0.028723
[291/5000][490/535][29786] Loss_D: -0.031674 Loss_G: 0.039187 Loss_D_real: -0.036765 Loss_D_fake -0.005091
[291/5000][495/535][29787] Loss_D: -0.031090 Loss_G: 0.003156 Loss_D_real: -0.010358 Loss_D_fake 0.020732
[291/5000][500/535][29788] Loss_D: -0.031113 Loss_G: 0.024691 Loss_D_real: -0.026770 Loss_D_fake 0.004343
[291/5000][505/535][29789] Loss_D: -0.033279 Loss_G: 0.029505 Loss_D_real: -0.037710 Loss_D_fake -0.004431
[291/5000][510/535][29790] Loss_D: -0.032663 Loss_G: 0.011578 Loss_D_real: -0.015256 Loss_D_fake 0.017407
[291/5000][515/535][29791] Loss_D: -0.032116 Loss_G: 0.030781 Loss_D_real: -0.024221 Loss_D_fake 0.007896
[291/5000][520/535][29792] Loss_D: -0.031921 Loss_G: -0.011960 Loss_D_real: -0.007089 Loss_D_fake 0.024832
[291/5000][525/535][29793] Loss_D: -0.030995 Loss_G: 0.026364 Loss_D_real: -0.026003 Loss_D_fake 0.004992
[291/5000][530/535][29794] Loss_D: -0.032043 Loss_G: 0.025776 Loss_D_real: -0.027868 Loss_D_fake 0.004175
[291/5000][535/535][29795] Loss_D: -0.031947 Loss_G: 0.028348 Loss_D_real: -0.028815 Loss_D_fake 0.003133
[292/5000][5/535][29796] Loss_D: -0.033702 Loss_G: 0.039180 Loss_D_real: -0.035377 Loss_D_fake -0.001675
[292/5000][10/535][29797] Loss_D: -0.032239 Loss_G: -0.006397 Loss_D_real: -0.004621 Loss_D_fake 0.027618
[292/5000][15/535][29798] Loss_D: -0.032018 Loss_G: 0.020144 Loss_D_real: -0.023929 Loss_D_fake 0.008089
[292/5000][20/535][29799] Loss_D: -0.031326 Loss_G: 0.047439 Loss_D_real: -0.043644 Loss_D_fake -0.012318
[292/5000][25/535][29800] Loss_D: -0.032095 Loss_G: -0.012046 Loss_D_real: -0.008353 Loss_D_fake 0.023743
[292/5000][30/535][29801] Loss_D: -0.030744 Loss_G: 0.010516 Loss_D_real: -0.017503 Loss_D_fake 0.013242
[292/5000][35/535][29802] Loss_D: -0.032283 Loss_G: 0.031668 Loss_D_real: -0.038562 Loss_D_fake -0.006279
[292/5000][40/535][29803] Loss_D: -0.031838 Loss_G: 0.009446 Loss_D_real: -0.009317 Loss_D_fake 0.022521
[292/5000][45/535][29804] Loss_D: -0.032175 Loss_G: 0.029182 Loss_D_real: -0.030792 Loss_D_fake 0.001382
[292/5000][50/535][29805] Loss_D: -0.033317 Loss_G: 0.031244 Loss_D_real: -0.033712 Loss_D_fake -0.000396
[292/5000][55/535][29806] Loss_D: -0.030804 Loss_G: 0.028794 Loss_D_real: -0.032100 Loss_D_fake -0.001295
[292/5000][60/535][29807] Loss_D: -0.033111 Loss_G: 0.012505 Loss_D_real: -0.012208 Loss_D_fake 0.020903
[292/5000][65/535][29808] Loss_D: -0.031449 Loss_G: 0.022990 Loss_D_real: -0.023256 Loss_D_fake 0.008194
[292/5000][70/535][29809] Loss_D: -0.032586 Loss_G: 0.014659 Loss_D_real: -0.016255 Loss_D_fake 0.016331
[292/5000][75/535][29810] Loss_D: -0.033188 Loss_G: 0.027620 Loss_D_real: -0.030656 Loss_D_fake 0.002533
[292/5000][80/535][29811] Loss_D: -0.031017 Loss_G: -0.008665 Loss_D_real: 0.000558 Loss_D_fake 0.031575
[292/5000][85/535][29812] Loss_D: -0.030329 Loss_G: 0.013327 Loss_D_real: -0.021322 Loss_D_fake 0.009007
[292/5000][90/535][29813] Loss_D: -0.031185 Loss_G: 0.010160 Loss_D_real: -0.017691 Loss_D_fake 0.013494
[292/5000][95/535][29814] Loss_D: -0.031154 Loss_G: 0.005522 Loss_D_real: -0.017085 Loss_D_fake 0.014069
[292/5000][100/535][29815] Loss_D: -0.031431 Loss_G: 0.042579 Loss_D_real: -0.032643 Loss_D_fake -0.001212
[292/5000][105/535][29816] Loss_D: -0.031787 Loss_G: -0.010329 Loss_D_real: -0.002769 Loss_D_fake 0.029018
[292/5000][110/535][29817] Loss_D: -0.031994 Loss_G: 0.024216 Loss_D_real: -0.023282 Loss_D_fake 0.008712
[292/5000][115/535][29818] Loss_D: -0.032849 Loss_G: 0.020944 Loss_D_real: -0.030527 Loss_D_fake 0.002322
[292/5000][120/535][29819] Loss_D: -0.032113 Loss_G: 0.001850 Loss_D_real: -0.009518 Loss_D_fake 0.022595
[292/5000][125/535][29820] Loss_D: -0.032101 Loss_G: 0.034592 Loss_D_real: -0.031816 Loss_D_fake 0.000285
[292/5000][130/535][29821] Loss_D: -0.030668 Loss_G: -0.009410 Loss_D_real: 0.001852 Loss_D_fake 0.032520
[292/5000][135/535][29822] Loss_D: -0.030037 Loss_G: 0.035501 Loss_D_real: -0.040274 Loss_D_fake -0.010237
[292/5000][140/535][29823] Loss_D: -0.031561 Loss_G: 0.004599 Loss_D_real: -0.011017 Loss_D_fake 0.020544
[292/5000][145/535][29824] Loss_D: -0.031677 Loss_G: 0.021852 Loss_D_real: -0.026603 Loss_D_fake 0.005074
[292/5000][150/535][29825] Loss_D: -0.032963 Loss_G: 0.014551 Loss_D_real: -0.020343 Loss_D_fake 0.012620
[292/5000][155/535][29826] Loss_D: -0.031189 Loss_G: 0.021763 Loss_D_real: -0.027363 Loss_D_fake 0.003826
[292/5000][160/535][29827] Loss_D: -0.033411 Loss_G: 0.012022 Loss_D_real: -0.018382 Loss_D_fake 0.015029
[292/5000][165/535][29828] Loss_D: -0.028676 Loss_G: 0.033153 Loss_D_real: -0.037394 Loss_D_fake -0.008718
[292/5000][170/535][29829] Loss_D: -0.030827 Loss_G: 0.002977 Loss_D_real: -0.010507 Loss_D_fake 0.020320
[292/5000][175/535][29830] Loss_D: -0.030910 Loss_G: 0.026824 Loss_D_real: -0.030897 Loss_D_fake 0.000012
[292/5000][180/535][29831] Loss_D: -0.032326 Loss_G: 0.004614 Loss_D_real: -0.010578 Loss_D_fake 0.021748
[292/5000][185/535][29832] Loss_D: -0.031104 Loss_G: 0.030060 Loss_D_real: -0.028682 Loss_D_fake 0.002422
[292/5000][190/535][29833] Loss_D: -0.031239 Loss_G: -0.000219 Loss_D_real: -0.008103 Loss_D_fake 0.023136
[292/5000][195/535][29834] Loss_D: -0.030836 Loss_G: 0.028463 Loss_D_real: -0.026634 Loss_D_fake 0.004202
[292/5000][200/535][29835] Loss_D: -0.032214 Loss_G: 0.008468 Loss_D_real: -0.014878 Loss_D_fake 0.017335
[292/5000][205/535][29836] Loss_D: -0.031990 Loss_G: 0.025442 Loss_D_real: -0.020523 Loss_D_fake 0.011467
[292/5000][210/535][29837] Loss_D: -0.032472 Loss_G: 0.034008 Loss_D_real: -0.029236 Loss_D_fake 0.003236
[292/5000][215/535][29838] Loss_D: -0.034490 Loss_G: 0.008551 Loss_D_real: -0.014630 Loss_D_fake 0.019860
[292/5000][220/535][29839] Loss_D: -0.032771 Loss_G: 0.010051 Loss_D_real: -0.018903 Loss_D_fake 0.013868
[292/5000][225/535][29840] Loss_D: -0.031357 Loss_G: 0.030141 Loss_D_real: -0.031411 Loss_D_fake -0.000054
[292/5000][230/535][29841] Loss_D: -0.032973 Loss_G: 0.030165 Loss_D_real: -0.027292 Loss_D_fake 0.005682
[292/5000][235/535][29842] Loss_D: -0.031980 Loss_G: 0.035425 Loss_D_real: -0.039623 Loss_D_fake -0.007643
[292/5000][240/535][29843] Loss_D: -0.033067 Loss_G: 0.008356 Loss_D_real: -0.021266 Loss_D_fake 0.011801
[292/5000][245/535][29844] Loss_D: -0.031514 Loss_G: 0.019527 Loss_D_real: -0.021479 Loss_D_fake 0.010034
[292/5000][250/535][29845] Loss_D: -0.032452 Loss_G: 0.025053 Loss_D_real: -0.022623 Loss_D_fake 0.009829
[292/5000][255/535][29846] Loss_D: -0.031075 Loss_G: 0.003268 Loss_D_real: -0.001396 Loss_D_fake 0.029679
[292/5000][260/535][29847] Loss_D: -0.032544 Loss_G: 0.019175 Loss_D_real: -0.028310 Loss_D_fake 0.004234
[292/5000][265/535][29848] Loss_D: -0.032169 Loss_G: 0.000310 Loss_D_real: -0.017519 Loss_D_fake 0.014650
[292/5000][270/535][29849] Loss_D: -0.031787 Loss_G: 0.027248 Loss_D_real: -0.024887 Loss_D_fake 0.006900
[292/5000][275/535][29850] Loss_D: -0.032076 Loss_G: 0.020590 Loss_D_real: -0.017899 Loss_D_fake 0.014177
[292/5000][280/535][29851] Loss_D: -0.031366 Loss_G: 0.018406 Loss_D_real: -0.019363 Loss_D_fake 0.012003
[292/5000][285/535][29852] Loss_D: -0.031884 Loss_G: 0.015661 Loss_D_real: -0.019001 Loss_D_fake 0.012883
[292/5000][290/535][29853] Loss_D: -0.033189 Loss_G: 0.026966 Loss_D_real: -0.030851 Loss_D_fake 0.002338
[292/5000][295/535][29854] Loss_D: -0.030924 Loss_G: 0.025311 Loss_D_real: -0.027582 Loss_D_fake 0.003342
[292/5000][300/535][29855] Loss_D: -0.030010 Loss_G: -0.014164 Loss_D_real: 0.007452 Loss_D_fake 0.037463
[292/5000][305/535][29856] Loss_D: -0.030773 Loss_G: 0.006560 Loss_D_real: -0.022380 Loss_D_fake 0.008393
[292/5000][310/535][29857] Loss_D: -0.032756 Loss_G: 0.020946 Loss_D_real: -0.035001 Loss_D_fake -0.002245
[292/5000][315/535][29858] Loss_D: -0.031765 Loss_G: 0.005734 Loss_D_real: -0.012567 Loss_D_fake 0.019198
[292/5000][320/535][29859] Loss_D: -0.032668 Loss_G: 0.010738 Loss_D_real: -0.015705 Loss_D_fake 0.016963
[292/5000][325/535][29860] Loss_D: -0.031525 Loss_G: 0.030421 Loss_D_real: -0.038284 Loss_D_fake -0.006759
[292/5000][330/535][29861] Loss_D: -0.032979 Loss_G: -0.001015 Loss_D_real: -0.013765 Loss_D_fake 0.019214
[292/5000][335/535][29862] Loss_D: -0.034255 Loss_G: 0.021502 Loss_D_real: -0.020883 Loss_D_fake 0.013371
[292/5000][340/535][29863] Loss_D: -0.032919 Loss_G: 0.016272 Loss_D_real: -0.018567 Loss_D_fake 0.014352
[292/5000][345/535][29864] Loss_D: -0.032701 Loss_G: 0.004731 Loss_D_real: -0.008905 Loss_D_fake 0.023796
[292/5000][350/535][29865] Loss_D: -0.030287 Loss_G: 0.001657 Loss_D_real: -0.009154 Loss_D_fake 0.021132
[292/5000][355/535][29866] Loss_D: -0.030940 Loss_G: 0.015372 Loss_D_real: -0.015048 Loss_D_fake 0.015892
[292/5000][360/535][29867] Loss_D: -0.030394 Loss_G: 0.027557 Loss_D_real: -0.030438 Loss_D_fake -0.000044
[292/5000][365/535][29868] Loss_D: -0.031537 Loss_G: -0.007732 Loss_D_real: 0.006140 Loss_D_fake 0.037677
[292/5000][370/535][29869] Loss_D: -0.031407 Loss_G: 0.033767 Loss_D_real: -0.036892 Loss_D_fake -0.005485
[292/5000][375/535][29870] Loss_D: -0.032103 Loss_G: -0.001772 Loss_D_real: -0.002375 Loss_D_fake 0.029728
[292/5000][380/535][29871] Loss_D: -0.029742 Loss_G: 0.042054 Loss_D_real: -0.032347 Loss_D_fake -0.002605
[292/5000][385/535][29872] Loss_D: -0.033756 Loss_G: 0.010038 Loss_D_real: -0.018566 Loss_D_fake 0.015190
[292/5000][390/535][29873] Loss_D: -0.030470 Loss_G: 0.004686 Loss_D_real: -0.011821 Loss_D_fake 0.018648
[292/5000][395/535][29874] Loss_D: -0.032527 Loss_G: 0.025683 Loss_D_real: -0.027058 Loss_D_fake 0.005469
[292/5000][400/535][29875] Loss_D: -0.032311 Loss_G: 0.020943 Loss_D_real: -0.026574 Loss_D_fake 0.005737
[292/5000][405/535][29876] Loss_D: -0.033242 Loss_G: 0.013047 Loss_D_real: -0.018216 Loss_D_fake 0.015026
[292/5000][410/535][29877] Loss_D: -0.032799 Loss_G: -0.011442 Loss_D_real: -0.011886 Loss_D_fake 0.020913
[292/5000][415/535][29878] Loss_D: -0.030154 Loss_G: 0.033276 Loss_D_real: -0.033357 Loss_D_fake -0.003203
[292/5000][420/535][29879] Loss_D: -0.031775 Loss_G: 0.001237 Loss_D_real: -0.003334 Loss_D_fake 0.028442
[292/5000][425/535][29880] Loss_D: -0.031404 Loss_G: 0.011331 Loss_D_real: -0.020201 Loss_D_fake 0.011203
[292/5000][430/535][29881] Loss_D: -0.031947 Loss_G: 0.004603 Loss_D_real: -0.016008 Loss_D_fake 0.015939
[292/5000][435/535][29882] Loss_D: -0.032304 Loss_G: 0.017208 Loss_D_real: -0.017265 Loss_D_fake 0.015039
[292/5000][440/535][29883] Loss_D: -0.032365 Loss_G: 0.016125 Loss_D_real: -0.017008 Loss_D_fake 0.015357
[292/5000][445/535][29884] Loss_D: -0.031372 Loss_G: 0.043854 Loss_D_real: -0.044360 Loss_D_fake -0.012988
[292/5000][450/535][29885] Loss_D: -0.029955 Loss_G: 0.032538 Loss_D_real: -0.030713 Loss_D_fake -0.000758
[292/5000][455/535][29886] Loss_D: -0.033954 Loss_G: 0.011747 Loss_D_real: -0.008887 Loss_D_fake 0.025066
[292/5000][460/535][29887] Loss_D: -0.032194 Loss_G: -0.000794 Loss_D_real: -0.008836 Loss_D_fake 0.023358
[292/5000][465/535][29888] Loss_D: -0.032004 Loss_G: 0.027929 Loss_D_real: -0.022326 Loss_D_fake 0.009678
[292/5000][470/535][29889] Loss_D: -0.033261 Loss_G: 0.016013 Loss_D_real: -0.012810 Loss_D_fake 0.020451
[292/5000][475/535][29890] Loss_D: -0.031457 Loss_G: 0.007252 Loss_D_real: -0.020270 Loss_D_fake 0.011187
[292/5000][480/535][29891] Loss_D: -0.032409 Loss_G: 0.033902 Loss_D_real: -0.025381 Loss_D_fake 0.007028
[292/5000][485/535][29892] Loss_D: -0.030728 Loss_G: 0.006396 Loss_D_real: -0.018780 Loss_D_fake 0.011948
[292/5000][490/535][29893] Loss_D: -0.031415 Loss_G: 0.023489 Loss_D_real: -0.025022 Loss_D_fake 0.006393
[292/5000][495/535][29894] Loss_D: -0.031024 Loss_G: 0.042673 Loss_D_real: -0.038667 Loss_D_fake -0.007643
[292/5000][500/535][29895] Loss_D: -0.031343 Loss_G: -0.012090 Loss_D_real: 0.000375 Loss_D_fake 0.031718
[292/5000][505/535][29896] Loss_D: -0.030828 Loss_G: 0.002225 Loss_D_real: -0.014445 Loss_D_fake 0.016383
[292/5000][510/535][29897] Loss_D: -0.030862 Loss_G: 0.039794 Loss_D_real: -0.037379 Loss_D_fake -0.006517
[292/5000][515/535][29898] Loss_D: -0.032565 Loss_G: 0.020845 Loss_D_real: -0.022033 Loss_D_fake 0.010532
[292/5000][520/535][29899] Loss_D: -0.032618 Loss_G: 0.024967 Loss_D_real: -0.026450 Loss_D_fake 0.006169
[292/5000][525/535][29900] Loss_D: -0.031085 Loss_G: 0.006437 Loss_D_real: -0.016530 Loss_D_fake 0.014555
[292/5000][530/535][29901] Loss_D: -0.032580 Loss_G: 0.023618 Loss_D_real: -0.023270 Loss_D_fake 0.009310
[292/5000][535/535][29902] Loss_D: -0.029383 Loss_G: 0.007884 Loss_D_real: -0.023015 Loss_D_fake 0.006369
[293/5000][5/535][29903] Loss_D: -0.032072 Loss_G: 0.007231 Loss_D_real: -0.008007 Loss_D_fake 0.024065
[293/5000][10/535][29904] Loss_D: -0.030206 Loss_G: 0.037919 Loss_D_real: -0.033337 Loss_D_fake -0.003131
[293/5000][15/535][29905] Loss_D: -0.030421 Loss_G: -0.014371 Loss_D_real: 0.003376 Loss_D_fake 0.033798
[293/5000][20/535][29906] Loss_D: -0.030503 Loss_G: 0.035531 Loss_D_real: -0.027228 Loss_D_fake 0.003275
[293/5000][25/535][29907] Loss_D: -0.032758 Loss_G: 0.014996 Loss_D_real: -0.021130 Loss_D_fake 0.011628
[293/5000][30/535][29908] Loss_D: -0.032724 Loss_G: 0.011169 Loss_D_real: -0.018220 Loss_D_fake 0.014503
[293/5000][35/535][29909] Loss_D: -0.032430 Loss_G: 0.034444 Loss_D_real: -0.027016 Loss_D_fake 0.005413
[293/5000][40/535][29910] Loss_D: -0.032285 Loss_G: 0.005926 Loss_D_real: -0.012868 Loss_D_fake 0.019417
[293/5000][45/535][29911] Loss_D: -0.032032 Loss_G: 0.013406 Loss_D_real: -0.014698 Loss_D_fake 0.017334
[293/5000][50/535][29912] Loss_D: -0.033255 Loss_G: 0.018112 Loss_D_real: -0.027143 Loss_D_fake 0.006112
[293/5000][55/535][29913] Loss_D: -0.031444 Loss_G: 0.028537 Loss_D_real: -0.027030 Loss_D_fake 0.004414
[293/5000][60/535][29914] Loss_D: -0.032382 Loss_G: 0.018671 Loss_D_real: -0.024780 Loss_D_fake 0.007602
[293/5000][65/535][29915] Loss_D: -0.033056 Loss_G: 0.030503 Loss_D_real: -0.028360 Loss_D_fake 0.004696
[293/5000][70/535][29916] Loss_D: -0.031970 Loss_G: -0.012910 Loss_D_real: -0.000582 Loss_D_fake 0.031388
[293/5000][75/535][29917] Loss_D: -0.031402 Loss_G: 0.026945 Loss_D_real: -0.025302 Loss_D_fake 0.006100
[293/5000][80/535][29918] Loss_D: -0.033021 Loss_G: 0.004501 Loss_D_real: -0.014613 Loss_D_fake 0.018407
[293/5000][85/535][29919] Loss_D: -0.033749 Loss_G: 0.016769 Loss_D_real: -0.036089 Loss_D_fake -0.002340
[293/5000][90/535][29920] Loss_D: -0.033323 Loss_G: 0.022757 Loss_D_real: -0.023665 Loss_D_fake 0.009658
[293/5000][95/535][29921] Loss_D: -0.031162 Loss_G: -0.024522 Loss_D_real: 0.002385 Loss_D_fake 0.033547
[293/5000][100/535][29922] Loss_D: -0.030459 Loss_G: 0.028439 Loss_D_real: -0.031166 Loss_D_fake -0.000707
[293/5000][105/535][29923] Loss_D: -0.030509 Loss_G: 0.009998 Loss_D_real: -0.011362 Loss_D_fake 0.019146
[293/5000][110/535][29924] Loss_D: -0.032565 Loss_G: 0.030822 Loss_D_real: -0.028567 Loss_D_fake 0.003998
[293/5000][115/535][29925] Loss_D: -0.033788 Loss_G: 0.018129 Loss_D_real: -0.030040 Loss_D_fake 0.003748
[293/5000][120/535][29926] Loss_D: -0.033703 Loss_G: 0.014908 Loss_D_real: -0.016430 Loss_D_fake 0.017273
[293/5000][125/535][29927] Loss_D: -0.031506 Loss_G: -0.000880 Loss_D_real: -0.015763 Loss_D_fake 0.015744
[293/5000][130/535][29928] Loss_D: -0.032212 Loss_G: 0.029086 Loss_D_real: -0.029575 Loss_D_fake 0.002637
[293/5000][135/535][29929] Loss_D: -0.031760 Loss_G: 0.029027 Loss_D_real: -0.026863 Loss_D_fake 0.004897
[293/5000][140/535][29930] Loss_D: -0.033114 Loss_G: 0.022441 Loss_D_real: -0.024852 Loss_D_fake 0.008262
[293/5000][145/535][29931] Loss_D: -0.032156 Loss_G: 0.036289 Loss_D_real: -0.033236 Loss_D_fake -0.001080
[293/5000][150/535][29932] Loss_D: -0.033103 Loss_G: 0.010424 Loss_D_real: -0.015807 Loss_D_fake 0.017296
[293/5000][155/535][29933] Loss_D: -0.032396 Loss_G: -0.005374 Loss_D_real: -0.009724 Loss_D_fake 0.022672
[293/5000][160/535][29934] Loss_D: -0.031420 Loss_G: 0.041914 Loss_D_real: -0.038343 Loss_D_fake -0.006923
[293/5000][165/535][29935] Loss_D: -0.032097 Loss_G: 0.021883 Loss_D_real: -0.022056 Loss_D_fake 0.010042
[293/5000][170/535][29936] Loss_D: -0.032350 Loss_G: 0.004546 Loss_D_real: -0.005183 Loss_D_fake 0.027167
[293/5000][175/535][29937] Loss_D: -0.031611 Loss_G: 0.027913 Loss_D_real: -0.037777 Loss_D_fake -0.006166
[293/5000][180/535][29938] Loss_D: -0.033867 Loss_G: 0.005071 Loss_D_real: -0.016138 Loss_D_fake 0.017729
[293/5000][185/535][29939] Loss_D: -0.029431 Loss_G: 0.031718 Loss_D_real: -0.028112 Loss_D_fake 0.001319
[293/5000][190/535][29940] Loss_D: -0.032971 Loss_G: 0.012100 Loss_D_real: -0.024465 Loss_D_fake 0.008506
[293/5000][195/535][29941] Loss_D: -0.032666 Loss_G: 0.009827 Loss_D_real: -0.025681 Loss_D_fake 0.006985
[293/5000][200/535][29942] Loss_D: -0.032404 Loss_G: 0.019739 Loss_D_real: -0.018585 Loss_D_fake 0.013819
[293/5000][205/535][29943] Loss_D: -0.032388 Loss_G: 0.001909 Loss_D_real: -0.009751 Loss_D_fake 0.022637
[293/5000][210/535][29944] Loss_D: -0.031906 Loss_G: 0.024354 Loss_D_real: -0.028272 Loss_D_fake 0.003634
[293/5000][215/535][29945] Loss_D: -0.033162 Loss_G: 0.000465 Loss_D_real: -0.010724 Loss_D_fake 0.022437
[293/5000][220/535][29946] Loss_D: -0.030934 Loss_G: 0.016199 Loss_D_real: -0.024390 Loss_D_fake 0.006544
[293/5000][225/535][29947] Loss_D: -0.031471 Loss_G: 0.005473 Loss_D_real: -0.014518 Loss_D_fake 0.016954
[293/5000][230/535][29948] Loss_D: -0.032728 Loss_G: 0.020827 Loss_D_real: -0.026336 Loss_D_fake 0.006392
[293/5000][235/535][29949] Loss_D: -0.030208 Loss_G: 0.028357 Loss_D_real: -0.039326 Loss_D_fake -0.009118
[293/5000][240/535][29950] Loss_D: -0.032848 Loss_G: 0.008463 Loss_D_real: -0.020189 Loss_D_fake 0.012659
[293/5000][245/535][29951] Loss_D: -0.032026 Loss_G: 0.033106 Loss_D_real: -0.027811 Loss_D_fake 0.004216
[293/5000][250/535][29952] Loss_D: -0.030750 Loss_G: 0.039315 Loss_D_real: -0.028797 Loss_D_fake 0.001953
[293/5000][255/535][29953] Loss_D: -0.031272 Loss_G: 0.011083 Loss_D_real: -0.013185 Loss_D_fake 0.018087
[293/5000][260/535][29954] Loss_D: -0.030639 Loss_G: 0.008953 Loss_D_real: -0.016758 Loss_D_fake 0.013881
[293/5000][265/535][29955] Loss_D: -0.031198 Loss_G: 0.033676 Loss_D_real: -0.025641 Loss_D_fake 0.005558
[293/5000][270/535][29956] Loss_D: -0.030295 Loss_G: 0.008475 Loss_D_real: -0.008277 Loss_D_fake 0.022017
[293/5000][275/535][29957] Loss_D: -0.032255 Loss_G: -0.007137 Loss_D_real: -0.015651 Loss_D_fake 0.016604
[293/5000][280/535][29958] Loss_D: -0.030886 Loss_G: 0.016292 Loss_D_real: -0.020667 Loss_D_fake 0.010219
[293/5000][285/535][29959] Loss_D: -0.032751 Loss_G: 0.025252 Loss_D_real: -0.023205 Loss_D_fake 0.009546
[293/5000][290/535][29960] Loss_D: -0.030925 Loss_G: 0.026146 Loss_D_real: -0.021654 Loss_D_fake 0.009271
[293/5000][295/535][29961] Loss_D: -0.031950 Loss_G: 0.002642 Loss_D_real: -0.009753 Loss_D_fake 0.022197
[293/5000][300/535][29962] Loss_D: -0.030493 Loss_G: 0.036283 Loss_D_real: -0.034071 Loss_D_fake -0.003579
[293/5000][305/535][29963] Loss_D: -0.031296 Loss_G: 0.005893 Loss_D_real: -0.010707 Loss_D_fake 0.020589
[293/5000][310/535][29964] Loss_D: -0.031046 Loss_G: 0.029316 Loss_D_real: -0.032162 Loss_D_fake -0.001116
[293/5000][315/535][29965] Loss_D: -0.032489 Loss_G: 0.027330 Loss_D_real: -0.018335 Loss_D_fake 0.014154
[293/5000][320/535][29966] Loss_D: -0.030950 Loss_G: 0.013252 Loss_D_real: -0.018211 Loss_D_fake 0.012739
[293/5000][325/535][29967] Loss_D: -0.031978 Loss_G: 0.016954 Loss_D_real: -0.018603 Loss_D_fake 0.013375
[293/5000][330/535][29968] Loss_D: -0.031751 Loss_G: 0.010566 Loss_D_real: -0.017645 Loss_D_fake 0.014106
[293/5000][335/535][29969] Loss_D: -0.031844 Loss_G: 0.014769 Loss_D_real: -0.030663 Loss_D_fake 0.001181
[293/5000][340/535][29970] Loss_D: -0.030672 Loss_G: 0.042662 Loss_D_real: -0.040406 Loss_D_fake -0.009734
[293/5000][345/535][29971] Loss_D: -0.032381 Loss_G: 0.020958 Loss_D_real: -0.018494 Loss_D_fake 0.013887
[293/5000][350/535][29972] Loss_D: -0.031433 Loss_G: 0.016721 Loss_D_real: -0.025883 Loss_D_fake 0.005550
[293/5000][355/535][29973] Loss_D: -0.030388 Loss_G: 0.032743 Loss_D_real: -0.026224 Loss_D_fake 0.004164
[293/5000][360/535][29974] Loss_D: -0.031741 Loss_G: -0.005769 Loss_D_real: -0.010895 Loss_D_fake 0.020845
[293/5000][365/535][29975] Loss_D: -0.029988 Loss_G: 0.042731 Loss_D_real: -0.032006 Loss_D_fake -0.002017
[293/5000][370/535][29976] Loss_D: -0.031077 Loss_G: -0.002380 Loss_D_real: -0.005166 Loss_D_fake 0.025911
[293/5000][375/535][29977] Loss_D: -0.029690 Loss_G: 0.026447 Loss_D_real: -0.032006 Loss_D_fake -0.002316
[293/5000][380/535][29978] Loss_D: -0.030793 Loss_G: 0.000984 Loss_D_real: -0.009263 Loss_D_fake 0.021530
[293/5000][385/535][29979] Loss_D: -0.029422 Loss_G: -0.003878 Loss_D_real: -0.003414 Loss_D_fake 0.026007
[293/5000][390/535][29980] Loss_D: -0.031123 Loss_G: -0.000621 Loss_D_real: -0.007863 Loss_D_fake 0.023260
[293/5000][395/535][29981] Loss_D: -0.031383 Loss_G: 0.021556 Loss_D_real: -0.028099 Loss_D_fake 0.003285
[293/5000][400/535][29982] Loss_D: -0.032777 Loss_G: 0.015674 Loss_D_real: -0.021311 Loss_D_fake 0.011466
[293/5000][405/535][29983] Loss_D: -0.031626 Loss_G: 0.021480 Loss_D_real: -0.025920 Loss_D_fake 0.005706
[293/5000][410/535][29984] Loss_D: -0.031177 Loss_G: 0.033842 Loss_D_real: -0.036260 Loss_D_fake -0.005083
[293/5000][415/535][29985] Loss_D: -0.031877 Loss_G: 0.008570 Loss_D_real: -0.017822 Loss_D_fake 0.014054
[293/5000][420/535][29986] Loss_D: -0.031055 Loss_G: 0.037929 Loss_D_real: -0.032664 Loss_D_fake -0.001609
[293/5000][425/535][29987] Loss_D: -0.032534 Loss_G: 0.031843 Loss_D_real: -0.029235 Loss_D_fake 0.003299
[293/5000][430/535][29988] Loss_D: -0.031818 Loss_G: 0.043072 Loss_D_real: -0.040302 Loss_D_fake -0.008484
[293/5000][435/535][29989] Loss_D: -0.032788 Loss_G: -0.007321 Loss_D_real: -0.004668 Loss_D_fake 0.028120
[293/5000][440/535][29990] Loss_D: -0.031997 Loss_G: 0.019732 Loss_D_real: -0.015766 Loss_D_fake 0.016232
[293/5000][445/535][29991] Loss_D: -0.032099 Loss_G: 0.035469 Loss_D_real: -0.031265 Loss_D_fake 0.000834
[293/5000][450/535][29992] Loss_D: -0.033011 Loss_G: 0.022546 Loss_D_real: -0.019558 Loss_D_fake 0.013453
[293/5000][455/535][29993] Loss_D: -0.031353 Loss_G: 0.038431 Loss_D_real: -0.036566 Loss_D_fake -0.005213
[293/5000][460/535][29994] Loss_D: -0.034061 Loss_G: 0.002908 Loss_D_real: -0.018050 Loss_D_fake 0.016011
[293/5000][465/535][29995] Loss_D: -0.033377 Loss_G: 0.009547 Loss_D_real: -0.023833 Loss_D_fake 0.009544
[293/5000][470/535][29996] Loss_D: -0.031748 Loss_G: 0.026450 Loss_D_real: -0.030026 Loss_D_fake 0.001722
[293/5000][475/535][29997] Loss_D: -0.033090 Loss_G: 0.015234 Loss_D_real: -0.022117 Loss_D_fake 0.010973
[293/5000][480/535][29998] Loss_D: -0.032513 Loss_G: 0.037369 Loss_D_real: -0.030726 Loss_D_fake 0.001787
[293/5000][485/535][29999] Loss_D: -0.031941 Loss_G: 0.001939 Loss_D_real: -0.006444 Loss_D_fake 0.025497
[293/5000][490/535][30000] Loss_D: -0.032280 Loss_G: 0.010796 Loss_D_real: -0.016416 Loss_D_fake 0.015864
[293/5000][535/535][30001] Loss_D: -0.036223 Loss_G: 0.009249 Loss_D_real: -0.008564 Loss_D_fake 0.027659
[294/5000][5/535][30002] Loss_D: -0.035280 Loss_G: 0.013620 Loss_D_real: -0.017596 Loss_D_fake 0.017684
[294/5000][10/535][30003] Loss_D: -0.031235 Loss_G: 0.004988 Loss_D_real: -0.011010 Loss_D_fake 0.020225
[294/5000][15/535][30004] Loss_D: -0.030586 Loss_G: 0.019498 Loss_D_real: -0.024281 Loss_D_fake 0.006306
[294/5000][20/535][30005] Loss_D: -0.032632 Loss_G: 0.017233 Loss_D_real: -0.016905 Loss_D_fake 0.015727
[294/5000][25/535][30006] Loss_D: -0.032562 Loss_G: 0.026137 Loss_D_real: -0.026158 Loss_D_fake 0.006404
[294/5000][30/535][30007] Loss_D: -0.031912 Loss_G: 0.027516 Loss_D_real: -0.033325 Loss_D_fake -0.001413
[294/5000][35/535][30008] Loss_D: -0.033367 Loss_G: 0.007692 Loss_D_real: -0.017144 Loss_D_fake 0.016223
[294/5000][40/535][30009] Loss_D: -0.031337 Loss_G: 0.020274 Loss_D_real: -0.021155 Loss_D_fake 0.010182
[294/5000][45/535][30010] Loss_D: -0.030920 Loss_G: 0.033128 Loss_D_real: -0.036565 Loss_D_fake -0.005646
[294/5000][50/535][30011] Loss_D: -0.032192 Loss_G: 0.034304 Loss_D_real: -0.025583 Loss_D_fake 0.006609
[294/5000][55/535][30012] Loss_D: -0.031714 Loss_G: 0.020017 Loss_D_real: -0.011824 Loss_D_fake 0.019890
[294/5000][60/535][30013] Loss_D: -0.033274 Loss_G: 0.014722 Loss_D_real: -0.023697 Loss_D_fake 0.009577
[294/5000][65/535][30014] Loss_D: -0.030291 Loss_G: 0.041655 Loss_D_real: -0.039071 Loss_D_fake -0.008780
[294/5000][70/535][30015] Loss_D: -0.031505 Loss_G: 0.003621 Loss_D_real: -0.011104 Loss_D_fake 0.020400
[294/5000][75/535][30016] Loss_D: -0.030433 Loss_G: 0.024726 Loss_D_real: -0.028701 Loss_D_fake 0.001732
[294/5000][80/535][30017] Loss_D: -0.030940 Loss_G: 0.036065 Loss_D_real: -0.040046 Loss_D_fake -0.009106
[294/5000][85/535][30018] Loss_D: -0.033672 Loss_G: 0.009490 Loss_D_real: -0.011184 Loss_D_fake 0.022487
[294/5000][90/535][30019] Loss_D: -0.031363 Loss_G: 0.017312 Loss_D_real: -0.013020 Loss_D_fake 0.018342
[294/5000][95/535][30020] Loss_D: -0.032930 Loss_G: 0.012501 Loss_D_real: -0.022698 Loss_D_fake 0.010231
[294/5000][100/535][30021] Loss_D: -0.031868 Loss_G: 0.032961 Loss_D_real: -0.038730 Loss_D_fake -0.006862
[294/5000][105/535][30022] Loss_D: -0.033659 Loss_G: 0.008698 Loss_D_real: -0.017882 Loss_D_fake 0.015777
[294/5000][110/535][30023] Loss_D: -0.031074 Loss_G: 0.028963 Loss_D_real: -0.029851 Loss_D_fake 0.001223
[294/5000][115/535][30024] Loss_D: -0.032057 Loss_G: 0.019708 Loss_D_real: -0.025631 Loss_D_fake 0.006426
[294/5000][120/535][30025] Loss_D: -0.032602 Loss_G: 0.027439 Loss_D_real: -0.033821 Loss_D_fake -0.001220
[294/5000][125/535][30026] Loss_D: -0.031256 Loss_G: 0.033312 Loss_D_real: -0.029894 Loss_D_fake 0.001362
[294/5000][130/535][30027] Loss_D: -0.032466 Loss_G: -0.005028 Loss_D_real: -0.006851 Loss_D_fake 0.025615
[294/5000][135/535][30028] Loss_D: -0.032522 Loss_G: 0.003319 Loss_D_real: -0.014047 Loss_D_fake 0.018475
[294/5000][140/535][30029] Loss_D: -0.032605 Loss_G: 0.016763 Loss_D_real: -0.027433 Loss_D_fake 0.005172
[294/5000][145/535][30030] Loss_D: -0.032792 Loss_G: 0.020330 Loss_D_real: -0.023450 Loss_D_fake 0.009341
[294/5000][150/535][30031] Loss_D: -0.032702 Loss_G: 0.028993 Loss_D_real: -0.028556 Loss_D_fake 0.004146
[294/5000][155/535][30032] Loss_D: -0.032827 Loss_G: 0.013498 Loss_D_real: -0.007348 Loss_D_fake 0.025478
[294/5000][160/535][30033] Loss_D: -0.031325 Loss_G: -0.006931 Loss_D_real: -0.002473 Loss_D_fake 0.028852
[294/5000][165/535][30034] Loss_D: -0.031623 Loss_G: 0.036300 Loss_D_real: -0.030942 Loss_D_fake 0.000681
[294/5000][170/535][30035] Loss_D: -0.031481 Loss_G: 0.003019 Loss_D_real: -0.003889 Loss_D_fake 0.027592
[294/5000][175/535][30036] Loss_D: -0.030493 Loss_G: 0.014019 Loss_D_real: -0.017991 Loss_D_fake 0.012503
[294/5000][180/535][30037] Loss_D: -0.031353 Loss_G: 0.017530 Loss_D_real: -0.020010 Loss_D_fake 0.011342
[294/5000][185/535][30038] Loss_D: -0.033266 Loss_G: 0.024243 Loss_D_real: -0.032639 Loss_D_fake 0.000627
[294/5000][190/535][30039] Loss_D: -0.031531 Loss_G: 0.026407 Loss_D_real: -0.029970 Loss_D_fake 0.001561
[294/5000][195/535][30040] Loss_D: -0.030865 Loss_G: -0.001050 Loss_D_real: -0.004415 Loss_D_fake 0.026450
[294/5000][200/535][30041] Loss_D: -0.031412 Loss_G: 0.024757 Loss_D_real: -0.014673 Loss_D_fake 0.016739
[294/5000][205/535][30042] Loss_D: -0.031010 Loss_G: 0.021528 Loss_D_real: -0.026450 Loss_D_fake 0.004560
[294/5000][210/535][30043] Loss_D: -0.031970 Loss_G: -0.001655 Loss_D_real: -0.006960 Loss_D_fake 0.025011
[294/5000][215/535][30044] Loss_D: -0.030691 Loss_G: 0.027998 Loss_D_real: -0.034254 Loss_D_fake -0.003563
[294/5000][220/535][30045] Loss_D: -0.031134 Loss_G: 0.026896 Loss_D_real: -0.038864 Loss_D_fake -0.007729
[294/5000][225/535][30046] Loss_D: -0.033519 Loss_G: 0.017171 Loss_D_real: -0.022212 Loss_D_fake 0.011308
[294/5000][230/535][30047] Loss_D: -0.034060 Loss_G: 0.026928 Loss_D_real: -0.025211 Loss_D_fake 0.008850
[294/5000][235/535][30048] Loss_D: -0.032879 Loss_G: 0.020006 Loss_D_real: -0.021129 Loss_D_fake 0.011750
[294/5000][240/535][30049] Loss_D: -0.033071 Loss_G: 0.024450 Loss_D_real: -0.028718 Loss_D_fake 0.004353
[294/5000][245/535][30050] Loss_D: -0.032811 Loss_G: 0.018520 Loss_D_real: -0.020212 Loss_D_fake 0.012599
[294/5000][250/535][30051] Loss_D: -0.029695 Loss_G: -0.014757 Loss_D_real: 0.002082 Loss_D_fake 0.031777
[294/5000][255/535][30052] Loss_D: -0.030747 Loss_G: 0.028898 Loss_D_real: -0.030887 Loss_D_fake -0.000140
[294/5000][260/535][30053] Loss_D: -0.031844 Loss_G: 0.021309 Loss_D_real: -0.021497 Loss_D_fake 0.010347
[294/5000][265/535][30054] Loss_D: -0.031232 Loss_G: 0.015327 Loss_D_real: -0.027839 Loss_D_fake 0.003393
[294/5000][270/535][30055] Loss_D: -0.032354 Loss_G: 0.018851 Loss_D_real: -0.023371 Loss_D_fake 0.008984
[294/5000][275/535][30056] Loss_D: -0.032944 Loss_G: 0.015818 Loss_D_real: -0.012634 Loss_D_fake 0.020310
[294/5000][280/535][30057] Loss_D: -0.031060 Loss_G: 0.003274 Loss_D_real: -0.002975 Loss_D_fake 0.028086
[294/5000][285/535][30058] Loss_D: -0.031232 Loss_G: 0.013833 Loss_D_real: -0.017578 Loss_D_fake 0.013653
[294/5000][290/535][30059] Loss_D: -0.030341 Loss_G: 0.031016 Loss_D_real: -0.031839 Loss_D_fake -0.001498
[294/5000][295/535][30060] Loss_D: -0.032183 Loss_G: 0.016231 Loss_D_real: -0.018358 Loss_D_fake 0.013825
[294/5000][300/535][30061] Loss_D: -0.030034 Loss_G: -0.017127 Loss_D_real: 0.003203 Loss_D_fake 0.033237
[294/5000][305/535][30062] Loss_D: -0.029120 Loss_G: 0.030382 Loss_D_real: -0.030261 Loss_D_fake -0.001141
[294/5000][310/535][30063] Loss_D: -0.032300 Loss_G: 0.002844 Loss_D_real: -0.012807 Loss_D_fake 0.019493
[294/5000][315/535][30064] Loss_D: -0.032329 Loss_G: 0.014535 Loss_D_real: -0.010926 Loss_D_fake 0.021403
[294/5000][320/535][30065] Loss_D: -0.030458 Loss_G: -0.002767 Loss_D_real: 0.000527 Loss_D_fake 0.030984
[294/5000][325/535][30066] Loss_D: -0.033007 Loss_G: 0.025126 Loss_D_real: -0.029121 Loss_D_fake 0.003886
[294/5000][330/535][30067] Loss_D: -0.032438 Loss_G: 0.032718 Loss_D_real: -0.028204 Loss_D_fake 0.004234
[294/5000][335/535][30068] Loss_D: -0.030840 Loss_G: 0.032035 Loss_D_real: -0.038891 Loss_D_fake -0.008052
[294/5000][340/535][30069] Loss_D: -0.031568 Loss_G: 0.022994 Loss_D_real: -0.023072 Loss_D_fake 0.008496
[294/5000][345/535][30070] Loss_D: -0.032064 Loss_G: 0.010827 Loss_D_real: -0.021190 Loss_D_fake 0.010874
[294/5000][350/535][30071] Loss_D: -0.030821 Loss_G: 0.030837 Loss_D_real: -0.035503 Loss_D_fake -0.004683
[294/5000][355/535][30072] Loss_D: -0.031625 Loss_G: 0.020322 Loss_D_real: -0.018484 Loss_D_fake 0.013141
[294/5000][360/535][30073] Loss_D: -0.030084 Loss_G: 0.018245 Loss_D_real: -0.012945 Loss_D_fake 0.017139
[294/5000][365/535][30074] Loss_D: -0.031407 Loss_G: 0.014678 Loss_D_real: -0.023307 Loss_D_fake 0.008099
[294/5000][370/535][30075] Loss_D: -0.031166 Loss_G: 0.033425 Loss_D_real: -0.033840 Loss_D_fake -0.002674
[294/5000][375/535][30076] Loss_D: -0.031542 Loss_G: 0.012896 Loss_D_real: -0.022500 Loss_D_fake 0.009042
[294/5000][380/535][30077] Loss_D: -0.032120 Loss_G: 0.013176 Loss_D_real: -0.023330 Loss_D_fake 0.008791
[294/5000][385/535][30078] Loss_D: -0.030051 Loss_G: 0.043942 Loss_D_real: -0.047609 Loss_D_fake -0.017558
[294/5000][390/535][30079] Loss_D: -0.032292 Loss_G: 0.004639 Loss_D_real: -0.010648 Loss_D_fake 0.021645
[294/5000][395/535][30080] Loss_D: -0.032393 Loss_G: 0.013224 Loss_D_real: -0.018092 Loss_D_fake 0.014301
[294/5000][400/535][30081] Loss_D: -0.030887 Loss_G: 0.015335 Loss_D_real: -0.024486 Loss_D_fake 0.006401
[294/5000][405/535][30082] Loss_D: -0.032223 Loss_G: 0.003305 Loss_D_real: -0.008398 Loss_D_fake 0.023825
[294/5000][410/535][30083] Loss_D: -0.031952 Loss_G: 0.018975 Loss_D_real: -0.024302 Loss_D_fake 0.007650
[294/5000][415/535][30084] Loss_D: -0.032599 Loss_G: 0.028380 Loss_D_real: -0.019999 Loss_D_fake 0.012600
[294/5000][420/535][30085] Loss_D: -0.032767 Loss_G: 0.002168 Loss_D_real: -0.011094 Loss_D_fake 0.021673
[294/5000][425/535][30086] Loss_D: -0.030926 Loss_G: 0.034533 Loss_D_real: -0.038904 Loss_D_fake -0.007978
[294/5000][430/535][30087] Loss_D: -0.030843 Loss_G: -0.011887 Loss_D_real: 0.002296 Loss_D_fake 0.033139
[294/5000][435/535][30088] Loss_D: -0.029643 Loss_G: 0.022123 Loss_D_real: -0.034658 Loss_D_fake -0.005015
[294/5000][440/535][30089] Loss_D: -0.032761 Loss_G: 0.001367 Loss_D_real: -0.011755 Loss_D_fake 0.021006
[294/5000][445/535][30090] Loss_D: -0.032117 Loss_G: 0.010581 Loss_D_real: -0.014002 Loss_D_fake 0.018115
[294/5000][450/535][30091] Loss_D: -0.031611 Loss_G: 0.035596 Loss_D_real: -0.036218 Loss_D_fake -0.004607
[294/5000][455/535][30092] Loss_D: -0.031595 Loss_G: 0.017190 Loss_D_real: -0.011398 Loss_D_fake 0.020197
[294/5000][460/535][30093] Loss_D: -0.031690 Loss_G: -0.007234 Loss_D_real: 0.000589 Loss_D_fake 0.032278
[294/5000][465/535][30094] Loss_D: -0.030667 Loss_G: 0.019899 Loss_D_real: -0.021316 Loss_D_fake 0.009351
[294/5000][470/535][30095] Loss_D: -0.032992 Loss_G: 0.002422 Loss_D_real: -0.020467 Loss_D_fake 0.012525
[294/5000][475/535][30096] Loss_D: -0.031958 Loss_G: 0.012883 Loss_D_real: -0.027135 Loss_D_fake 0.004823
[294/5000][480/535][30097] Loss_D: -0.031987 Loss_G: 0.032264 Loss_D_real: -0.018515 Loss_D_fake 0.013472
[294/5000][485/535][30098] Loss_D: -0.032222 Loss_G: 0.023808 Loss_D_real: -0.014153 Loss_D_fake 0.018070
[294/5000][490/535][30099] Loss_D: -0.032237 Loss_G: -0.011260 Loss_D_real: 0.001599 Loss_D_fake 0.033837
[294/5000][495/535][30100] Loss_D: -0.031411 Loss_G: 0.005334 Loss_D_real: -0.014203 Loss_D_fake 0.017208
[294/5000][500/535][30101] Loss_D: -0.030343 Loss_G: 0.038830 Loss_D_real: -0.043229 Loss_D_fake -0.012886
[294/5000][505/535][30102] Loss_D: -0.034844 Loss_G: 0.018441 Loss_D_real: -0.016393 Loss_D_fake 0.018450
[294/5000][510/535][30103] Loss_D: -0.032910 Loss_G: 0.023858 Loss_D_real: -0.039674 Loss_D_fake -0.006765
[294/5000][515/535][30104] Loss_D: -0.033160 Loss_G: 0.017277 Loss_D_real: -0.030378 Loss_D_fake 0.002782
[294/5000][520/535][30105] Loss_D: -0.032389 Loss_G: 0.034769 Loss_D_real: -0.034060 Loss_D_fake -0.001670
[294/5000][525/535][30106] Loss_D: -0.031097 Loss_G: -0.020799 Loss_D_real: 0.008105 Loss_D_fake 0.039202
[294/5000][530/535][30107] Loss_D: -0.030571 Loss_G: 0.028114 Loss_D_real: -0.023282 Loss_D_fake 0.007290
[294/5000][535/535][30108] Loss_D: -0.028511 Loss_G: 0.030216 Loss_D_real: -0.014053 Loss_D_fake 0.014458
[295/5000][5/535][30109] Loss_D: -0.031930 Loss_G: 0.009683 Loss_D_real: -0.014507 Loss_D_fake 0.017423
[295/5000][10/535][30110] Loss_D: -0.033627 Loss_G: 0.023158 Loss_D_real: -0.024349 Loss_D_fake 0.009278
[295/5000][15/535][30111] Loss_D: -0.032332 Loss_G: 0.036570 Loss_D_real: -0.033335 Loss_D_fake -0.001003
[295/5000][20/535][30112] Loss_D: -0.031714 Loss_G: 0.011463 Loss_D_real: -0.016982 Loss_D_fake 0.014732
[295/5000][25/535][30113] Loss_D: -0.029756 Loss_G: 0.023157 Loss_D_real: -0.033521 Loss_D_fake -0.003765
[295/5000][30/535][30114] Loss_D: -0.033110 Loss_G: 0.024311 Loss_D_real: -0.022582 Loss_D_fake 0.010528
[295/5000][35/535][30115] Loss_D: -0.032906 Loss_G: 0.017864 Loss_D_real: -0.016644 Loss_D_fake 0.016262
[295/5000][40/535][30116] Loss_D: -0.032065 Loss_G: -0.011249 Loss_D_real: -0.010478 Loss_D_fake 0.021586
[295/5000][45/535][30117] Loss_D: -0.030623 Loss_G: 0.012296 Loss_D_real: -0.012696 Loss_D_fake 0.017927
[295/5000][50/535][30118] Loss_D: -0.030711 Loss_G: 0.003788 Loss_D_real: -0.016442 Loss_D_fake 0.014269
[295/5000][55/535][30119] Loss_D: -0.030421 Loss_G: 0.038363 Loss_D_real: -0.028182 Loss_D_fake 0.002239
[295/5000][60/535][30120] Loss_D: -0.032607 Loss_G: 0.011539 Loss_D_real: -0.019559 Loss_D_fake 0.013048
[295/5000][65/535][30121] Loss_D: -0.030800 Loss_G: 0.027859 Loss_D_real: -0.027841 Loss_D_fake 0.002959
[295/5000][70/535][30122] Loss_D: -0.033909 Loss_G: 0.008210 Loss_D_real: -0.019582 Loss_D_fake 0.014326
[295/5000][75/535][30123] Loss_D: -0.033271 Loss_G: 0.021364 Loss_D_real: -0.022607 Loss_D_fake 0.010664
[295/5000][80/535][30124] Loss_D: -0.031630 Loss_G: -0.003431 Loss_D_real: -0.000937 Loss_D_fake 0.030693
[295/5000][85/535][30125] Loss_D: -0.032779 Loss_G: -0.001062 Loss_D_real: -0.013147 Loss_D_fake 0.019632
[295/5000][90/535][30126] Loss_D: -0.031570 Loss_G: 0.033120 Loss_D_real: -0.033887 Loss_D_fake -0.002317
[295/5000][95/535][30127] Loss_D: -0.033468 Loss_G: 0.000844 Loss_D_real: -0.009805 Loss_D_fake 0.023662
[295/5000][100/535][30128] Loss_D: -0.032877 Loss_G: 0.035661 Loss_D_real: -0.035345 Loss_D_fake -0.002468
[295/5000][105/535][30129] Loss_D: -0.031333 Loss_G: 0.008650 Loss_D_real: -0.012928 Loss_D_fake 0.018405
[295/5000][110/535][30130] Loss_D: -0.032023 Loss_G: 0.006085 Loss_D_real: -0.014675 Loss_D_fake 0.017348
[295/5000][115/535][30131] Loss_D: -0.031700 Loss_G: 0.002757 Loss_D_real: -0.008888 Loss_D_fake 0.022811
[295/5000][120/535][30132] Loss_D: -0.033233 Loss_G: 0.020820 Loss_D_real: -0.022327 Loss_D_fake 0.010906
[295/5000][125/535][30133] Loss_D: -0.032820 Loss_G: 0.019414 Loss_D_real: -0.014867 Loss_D_fake 0.017953
[295/5000][130/535][30134] Loss_D: -0.032270 Loss_G: 0.003062 Loss_D_real: -0.002708 Loss_D_fake 0.029562
[295/5000][135/535][30135] Loss_D: -0.031104 Loss_G: 0.029142 Loss_D_real: -0.034681 Loss_D_fake -0.003577
[295/5000][140/535][30136] Loss_D: -0.032228 Loss_G: 0.020547 Loss_D_real: -0.011073 Loss_D_fake 0.021155
[295/5000][145/535][30137] Loss_D: -0.032370 Loss_G: 0.024498 Loss_D_real: -0.026622 Loss_D_fake 0.005748
[295/5000][150/535][30138] Loss_D: -0.032201 Loss_G: 0.012335 Loss_D_real: -0.019625 Loss_D_fake 0.012576
[295/5000][155/535][30139] Loss_D: -0.031623 Loss_G: 0.025565 Loss_D_real: -0.028723 Loss_D_fake 0.002900
[295/5000][160/535][30140] Loss_D: -0.031208 Loss_G: 0.000750 Loss_D_real: -0.004384 Loss_D_fake 0.026825
[295/5000][165/535][30141] Loss_D: -0.030893 Loss_G: 0.038176 Loss_D_real: -0.035082 Loss_D_fake -0.004189
[295/5000][170/535][30142] Loss_D: -0.030191 Loss_G: -0.005233 Loss_D_real: -0.004885 Loss_D_fake 0.025306
[295/5000][175/535][30143] Loss_D: -0.032411 Loss_G: 0.006186 Loss_D_real: -0.019905 Loss_D_fake 0.012507
[295/5000][180/535][30144] Loss_D: -0.031036 Loss_G: 0.038426 Loss_D_real: -0.034059 Loss_D_fake -0.003023
[295/5000][185/535][30145] Loss_D: -0.032791 Loss_G: 0.021125 Loss_D_real: -0.017318 Loss_D_fake 0.015473
[295/5000][190/535][30146] Loss_D: -0.032025 Loss_G: 0.033501 Loss_D_real: -0.040637 Loss_D_fake -0.008611
[295/5000][195/535][30147] Loss_D: -0.030336 Loss_G: 0.023743 Loss_D_real: -0.017108 Loss_D_fake 0.013228
[295/5000][200/535][30148] Loss_D: -0.031686 Loss_G: 0.023833 Loss_D_real: -0.025546 Loss_D_fake 0.006140
[295/5000][205/535][30149] Loss_D: -0.032429 Loss_G: 0.030193 Loss_D_real: -0.030812 Loss_D_fake 0.001617
[295/5000][210/535][30150] Loss_D: -0.032333 Loss_G: 0.021895 Loss_D_real: -0.028732 Loss_D_fake 0.003600
[295/5000][215/535][30151] Loss_D: -0.033562 Loss_G: 0.006457 Loss_D_real: -0.006716 Loss_D_fake 0.026846
[295/5000][220/535][30152] Loss_D: -0.031066 Loss_G: 0.006812 Loss_D_real: -0.022409 Loss_D_fake 0.008657
[295/5000][225/535][30153] Loss_D: -0.031659 Loss_G: 0.008997 Loss_D_real: -0.013376 Loss_D_fake 0.018284
[295/5000][230/535][30154] Loss_D: -0.032044 Loss_G: 0.003092 Loss_D_real: -0.010140 Loss_D_fake 0.021904
[295/5000][235/535][30155] Loss_D: -0.030177 Loss_G: 0.035940 Loss_D_real: -0.036198 Loss_D_fake -0.006021
[295/5000][240/535][30156] Loss_D: -0.032517 Loss_G: 0.027003 Loss_D_real: -0.022387 Loss_D_fake 0.010130
[295/5000][245/535][30157] Loss_D: -0.031840 Loss_G: 0.004434 Loss_D_real: -0.012793 Loss_D_fake 0.019047
[295/5000][250/535][30158] Loss_D: -0.032187 Loss_G: 0.011091 Loss_D_real: -0.018655 Loss_D_fake 0.013532
[295/5000][255/535][30159] Loss_D: -0.030750 Loss_G: 0.020951 Loss_D_real: -0.028833 Loss_D_fake 0.001917
[295/5000][260/535][30160] Loss_D: -0.031167 Loss_G: 0.016795 Loss_D_real: -0.022459 Loss_D_fake 0.008708
[295/5000][265/535][30161] Loss_D: -0.031668 Loss_G: 0.000995 Loss_D_real: -0.007074 Loss_D_fake 0.024594
[295/5000][270/535][30162] Loss_D: -0.032151 Loss_G: 0.014238 Loss_D_real: -0.015360 Loss_D_fake 0.016791
[295/5000][275/535][30163] Loss_D: -0.032546 Loss_G: 0.026974 Loss_D_real: -0.030271 Loss_D_fake 0.002275
[295/5000][280/535][30164] Loss_D: -0.032774 Loss_G: 0.002464 Loss_D_real: -0.016640 Loss_D_fake 0.016134
[295/5000][285/535][30165] Loss_D: -0.032451 Loss_G: 0.000578 Loss_D_real: -0.004512 Loss_D_fake 0.027939
[295/5000][290/535][30166] Loss_D: -0.031479 Loss_G: 0.032401 Loss_D_real: -0.033327 Loss_D_fake -0.001848
[295/5000][295/535][30167] Loss_D: -0.030810 Loss_G: -0.003786 Loss_D_real: -0.009509 Loss_D_fake 0.021302
[295/5000][300/535][30168] Loss_D: -0.031978 Loss_G: 0.009728 Loss_D_real: -0.014386 Loss_D_fake 0.017592
[295/5000][305/535][30169] Loss_D: -0.032035 Loss_G: 0.036947 Loss_D_real: -0.029949 Loss_D_fake 0.002086
[295/5000][310/535][30170] Loss_D: -0.031141 Loss_G: 0.031209 Loss_D_real: -0.028464 Loss_D_fake 0.002677
[295/5000][315/535][30171] Loss_D: -0.032025 Loss_G: 0.006850 Loss_D_real: -0.013121 Loss_D_fake 0.018904
[295/5000][320/535][30172] Loss_D: -0.031891 Loss_G: 0.032515 Loss_D_real: -0.032822 Loss_D_fake -0.000931
[295/5000][325/535][30173] Loss_D: -0.032830 Loss_G: 0.003343 Loss_D_real: -0.012252 Loss_D_fake 0.020578
[295/5000][330/535][30174] Loss_D: -0.031529 Loss_G: 0.017394 Loss_D_real: -0.022712 Loss_D_fake 0.008817
[295/5000][335/535][30175] Loss_D: -0.033547 Loss_G: 0.033709 Loss_D_real: -0.026987 Loss_D_fake 0.006561
[295/5000][340/535][30176] Loss_D: -0.031367 Loss_G: -0.018165 Loss_D_real: 0.006288 Loss_D_fake 0.037654
[295/5000][345/535][30177] Loss_D: -0.030533 Loss_G: 0.031873 Loss_D_real: -0.028078 Loss_D_fake 0.002455
[295/5000][350/535][30178] Loss_D: -0.032573 Loss_G: 0.026854 Loss_D_real: -0.022464 Loss_D_fake 0.010109
[295/5000][355/535][30179] Loss_D: -0.031608 Loss_G: 0.014993 Loss_D_real: -0.019929 Loss_D_fake 0.011679
[295/5000][360/535][30180] Loss_D: -0.032228 Loss_G: 0.016930 Loss_D_real: -0.020276 Loss_D_fake 0.011951
[295/5000][365/535][30181] Loss_D: -0.031887 Loss_G: 0.038144 Loss_D_real: -0.035165 Loss_D_fake -0.003279
[295/5000][370/535][30182] Loss_D: -0.032210 Loss_G: 0.019691 Loss_D_real: -0.020308 Loss_D_fake 0.011902
[295/5000][375/535][30183] Loss_D: -0.032449 Loss_G: 0.028673 Loss_D_real: -0.021053 Loss_D_fake 0.011396
[295/5000][380/535][30184] Loss_D: -0.032564 Loss_G: 0.012873 Loss_D_real: -0.012773 Loss_D_fake 0.019791
[295/5000][385/535][30185] Loss_D: -0.030213 Loss_G: 0.036798 Loss_D_real: -0.043256 Loss_D_fake -0.013043
[295/5000][390/535][30186] Loss_D: -0.031543 Loss_G: -0.000807 Loss_D_real: -0.010192 Loss_D_fake 0.021350
[295/5000][395/535][30187] Loss_D: -0.029514 Loss_G: 0.042050 Loss_D_real: -0.033783 Loss_D_fake -0.004268
[295/5000][400/535][30188] Loss_D: -0.031984 Loss_G: 0.001289 Loss_D_real: -0.017902 Loss_D_fake 0.014082
[295/5000][405/535][30189] Loss_D: -0.032324 Loss_G: 0.004716 Loss_D_real: -0.016388 Loss_D_fake 0.015936
[295/5000][410/535][30190] Loss_D: -0.033131 Loss_G: 0.008929 Loss_D_real: -0.007948 Loss_D_fake 0.025182
[295/5000][415/535][30191] Loss_D: -0.030865 Loss_G: 0.028427 Loss_D_real: -0.030864 Loss_D_fake 0.000001
[295/5000][420/535][30192] Loss_D: -0.032423 Loss_G: 0.006948 Loss_D_real: -0.014779 Loss_D_fake 0.017644
[295/5000][425/535][30193] Loss_D: -0.031329 Loss_G: 0.034418 Loss_D_real: -0.032875 Loss_D_fake -0.001547
[295/5000][430/535][30194] Loss_D: -0.032680 Loss_G: 0.011289 Loss_D_real: -0.010896 Loss_D_fake 0.021784
[295/5000][435/535][30195] Loss_D: -0.030991 Loss_G: 0.029164 Loss_D_real: -0.026215 Loss_D_fake 0.004776
[295/5000][440/535][30196] Loss_D: -0.031129 Loss_G: 0.002608 Loss_D_real: -0.007369 Loss_D_fake 0.023760
[295/5000][445/535][30197] Loss_D: -0.029756 Loss_G: 0.019602 Loss_D_real: -0.028264 Loss_D_fake 0.001492
[295/5000][450/535][30198] Loss_D: -0.031261 Loss_G: 0.017093 Loss_D_real: -0.018999 Loss_D_fake 0.012262
[295/5000][455/535][30199] Loss_D: -0.030419 Loss_G: 0.027100 Loss_D_real: -0.022267 Loss_D_fake 0.008152
[295/5000][460/535][30200] Loss_D: -0.031675 Loss_G: 0.018607 Loss_D_real: -0.018923 Loss_D_fake 0.012752
[295/5000][465/535][30201] Loss_D: -0.031663 Loss_G: 0.016786 Loss_D_real: -0.011697 Loss_D_fake 0.019967
[295/5000][470/535][30202] Loss_D: -0.031152 Loss_G: 0.007780 Loss_D_real: -0.004120 Loss_D_fake 0.027031
[295/5000][475/535][30203] Loss_D: -0.029748 Loss_G: 0.025969 Loss_D_real: -0.023273 Loss_D_fake 0.006475
[295/5000][480/535][30204] Loss_D: -0.031766 Loss_G: 0.006486 Loss_D_real: -0.010595 Loss_D_fake 0.021171
[295/5000][485/535][30205] Loss_D: -0.030606 Loss_G: 0.008984 Loss_D_real: -0.013437 Loss_D_fake 0.017170
[295/5000][490/535][30206] Loss_D: -0.030314 Loss_G: 0.041959 Loss_D_real: -0.037518 Loss_D_fake -0.007204
[295/5000][495/535][30207] Loss_D: -0.031954 Loss_G: -0.002045 Loss_D_real: -0.010136 Loss_D_fake 0.021818
[295/5000][500/535][30208] Loss_D: -0.030846 Loss_G: 0.020681 Loss_D_real: -0.033790 Loss_D_fake -0.002944
[295/5000][505/535][30209] Loss_D: -0.032014 Loss_G: 0.004667 Loss_D_real: -0.008076 Loss_D_fake 0.023938
[295/5000][510/535][30210] Loss_D: -0.031938 Loss_G: 0.013921 Loss_D_real: -0.006574 Loss_D_fake 0.025364
[295/5000][515/535][30211] Loss_D: -0.032203 Loss_G: 0.030095 Loss_D_real: -0.032342 Loss_D_fake -0.000138
[295/5000][520/535][30212] Loss_D: -0.031814 Loss_G: -0.002551 Loss_D_real: -0.003083 Loss_D_fake 0.028731
[295/5000][525/535][30213] Loss_D: -0.031057 Loss_G: 0.016519 Loss_D_real: -0.023802 Loss_D_fake 0.007256
[295/5000][530/535][30214] Loss_D: -0.033021 Loss_G: 0.026136 Loss_D_real: -0.025202 Loss_D_fake 0.007819
[295/5000][535/535][30215] Loss_D: -0.032609 Loss_G: 0.020147 Loss_D_real: -0.033718 Loss_D_fake -0.001108
[296/5000][5/535][30216] Loss_D: -0.032734 Loss_G: -0.001661 Loss_D_real: -0.010939 Loss_D_fake 0.021795
[296/5000][10/535][30217] Loss_D: -0.032681 Loss_G: 0.030752 Loss_D_real: -0.037719 Loss_D_fake -0.005038
[296/5000][15/535][30218] Loss_D: -0.032377 Loss_G: 0.014893 Loss_D_real: -0.010503 Loss_D_fake 0.021874
[296/5000][20/535][30219] Loss_D: -0.031741 Loss_G: 0.016034 Loss_D_real: -0.035715 Loss_D_fake -0.003974
[296/5000][25/535][30220] Loss_D: -0.032159 Loss_G: 0.020096 Loss_D_real: -0.029453 Loss_D_fake 0.002706
[296/5000][30/535][30221] Loss_D: -0.032681 Loss_G: -0.006068 Loss_D_real: -0.014107 Loss_D_fake 0.018573
[296/5000][35/535][30222] Loss_D: -0.030620 Loss_G: 0.027164 Loss_D_real: -0.036073 Loss_D_fake -0.005453
[296/5000][40/535][30223] Loss_D: -0.031296 Loss_G: 0.034247 Loss_D_real: -0.028348 Loss_D_fake 0.002948
[296/5000][45/535][30224] Loss_D: -0.032826 Loss_G: 0.015576 Loss_D_real: -0.022423 Loss_D_fake 0.010403
[296/5000][50/535][30225] Loss_D: -0.032270 Loss_G: 0.024632 Loss_D_real: -0.022038 Loss_D_fake 0.010232
[296/5000][55/535][30226] Loss_D: -0.030566 Loss_G: 0.001583 Loss_D_real: -0.009363 Loss_D_fake 0.021204
[296/5000][60/535][30227] Loss_D: -0.031243 Loss_G: 0.022232 Loss_D_real: -0.028322 Loss_D_fake 0.002921
[296/5000][65/535][30228] Loss_D: -0.032977 Loss_G: 0.009319 Loss_D_real: -0.021443 Loss_D_fake 0.011533
[296/5000][70/535][30229] Loss_D: -0.032310 Loss_G: 0.028042 Loss_D_real: -0.032224 Loss_D_fake 0.000086
[296/5000][75/535][30230] Loss_D: -0.032595 Loss_G: 0.008930 Loss_D_real: -0.016815 Loss_D_fake 0.015780
[296/5000][80/535][30231] Loss_D: -0.030434 Loss_G: 0.010563 Loss_D_real: -0.018151 Loss_D_fake 0.012283
[296/5000][85/535][30232] Loss_D: -0.032439 Loss_G: 0.019158 Loss_D_real: -0.018774 Loss_D_fake 0.013665
[296/5000][90/535][30233] Loss_D: -0.031581 Loss_G: 0.029368 Loss_D_real: -0.029437 Loss_D_fake 0.002143
[296/5000][95/535][30234] Loss_D: -0.032922 Loss_G: -0.006575 Loss_D_real: -0.008437 Loss_D_fake 0.024484
[296/5000][100/535][30235] Loss_D: -0.032637 Loss_G: 0.018166 Loss_D_real: -0.017604 Loss_D_fake 0.015033
[296/5000][105/535][30236] Loss_D: -0.033211 Loss_G: 0.017635 Loss_D_real: -0.027792 Loss_D_fake 0.005419
[296/5000][110/535][30237] Loss_D: -0.032078 Loss_G: 0.010193 Loss_D_real: -0.015239 Loss_D_fake 0.016839
[296/5000][115/535][30238] Loss_D: -0.032721 Loss_G: 0.036231 Loss_D_real: -0.032138 Loss_D_fake 0.000583
[296/5000][120/535][30239] Loss_D: -0.032636 Loss_G: -0.000096 Loss_D_real: -0.015132 Loss_D_fake 0.017505
[296/5000][125/535][30240] Loss_D: -0.031038 Loss_G: 0.038840 Loss_D_real: -0.034285 Loss_D_fake -0.003247
[296/5000][130/535][30241] Loss_D: -0.030122 Loss_G: -0.017956 Loss_D_real: -0.002659 Loss_D_fake 0.027462
[296/5000][135/535][30242] Loss_D: -0.030463 Loss_G: 0.028317 Loss_D_real: -0.029552 Loss_D_fake 0.000912
[296/5000][140/535][30243] Loss_D: -0.030933 Loss_G: 0.015251 Loss_D_real: -0.010262 Loss_D_fake 0.020671
[296/5000][145/535][30244] Loss_D: -0.032537 Loss_G: 0.001421 Loss_D_real: -0.023527 Loss_D_fake 0.009010
[296/5000][150/535][30245] Loss_D: -0.031418 Loss_G: 0.010602 Loss_D_real: -0.015218 Loss_D_fake 0.016200
[296/5000][155/535][30246] Loss_D: -0.029995 Loss_G: 0.044301 Loss_D_real: -0.035702 Loss_D_fake -0.005707
[296/5000][160/535][30247] Loss_D: -0.030567 Loss_G: 0.012993 Loss_D_real: -0.021807 Loss_D_fake 0.008761
[296/5000][165/535][30248] Loss_D: -0.031250 Loss_G: 0.002744 Loss_D_real: -0.014647 Loss_D_fake 0.016603
[296/5000][170/535][30249] Loss_D: -0.030913 Loss_G: 0.015903 Loss_D_real: -0.014447 Loss_D_fake 0.016466
[296/5000][175/535][30250] Loss_D: -0.031474 Loss_G: 0.011246 Loss_D_real: -0.013500 Loss_D_fake 0.017975
[296/5000][180/535][30251] Loss_D: -0.030582 Loss_G: 0.035528 Loss_D_real: -0.036313 Loss_D_fake -0.005730
[296/5000][185/535][30252] Loss_D: -0.031660 Loss_G: 0.008085 Loss_D_real: -0.016296 Loss_D_fake 0.015364
[296/5000][190/535][30253] Loss_D: -0.030666 Loss_G: 0.038324 Loss_D_real: -0.039788 Loss_D_fake -0.009121
[296/5000][195/535][30254] Loss_D: -0.029795 Loss_G: 0.017284 Loss_D_real: -0.014880 Loss_D_fake 0.014916
[296/5000][200/535][30255] Loss_D: -0.031424 Loss_G: 0.043536 Loss_D_real: -0.040746 Loss_D_fake -0.009322
[296/5000][205/535][30256] Loss_D: -0.031946 Loss_G: 0.001422 Loss_D_real: -0.010011 Loss_D_fake 0.021935
[296/5000][210/535][30257] Loss_D: -0.032498 Loss_G: 0.007045 Loss_D_real: -0.011715 Loss_D_fake 0.020783
[296/5000][215/535][30258] Loss_D: -0.030943 Loss_G: 0.026734 Loss_D_real: -0.026772 Loss_D_fake 0.004171
[296/5000][220/535][30259] Loss_D: -0.032748 Loss_G: 0.025550 Loss_D_real: -0.020272 Loss_D_fake 0.012475
[296/5000][225/535][30260] Loss_D: -0.032243 Loss_G: 0.003795 Loss_D_real: -0.012214 Loss_D_fake 0.020029
[296/5000][230/535][30261] Loss_D: -0.032553 Loss_G: 0.016946 Loss_D_real: -0.027501 Loss_D_fake 0.005052
[296/5000][235/535][30262] Loss_D: -0.031231 Loss_G: 0.040609 Loss_D_real: -0.037220 Loss_D_fake -0.005989
[296/5000][240/535][30263] Loss_D: -0.031312 Loss_G: 0.007574 Loss_D_real: -0.006037 Loss_D_fake 0.025276
[296/5000][245/535][30264] Loss_D: -0.032032 Loss_G: 0.031119 Loss_D_real: -0.031458 Loss_D_fake 0.000574
[296/5000][250/535][30265] Loss_D: -0.033199 Loss_G: 0.017650 Loss_D_real: -0.020108 Loss_D_fake 0.013091
[296/5000][255/535][30266] Loss_D: -0.032190 Loss_G: -0.000366 Loss_D_real: -0.014509 Loss_D_fake 0.017681
[296/5000][260/535][30267] Loss_D: -0.030753 Loss_G: 0.001856 Loss_D_real: -0.009400 Loss_D_fake 0.021353
[296/5000][265/535][30268] Loss_D: -0.031107 Loss_G: 0.012679 Loss_D_real: -0.016624 Loss_D_fake 0.014483
[296/5000][270/535][30269] Loss_D: -0.031273 Loss_G: -0.007372 Loss_D_real: -0.006448 Loss_D_fake 0.024826
[296/5000][275/535][30270] Loss_D: -0.030834 Loss_G: 0.038724 Loss_D_real: -0.034382 Loss_D_fake -0.003548
[296/5000][280/535][30271] Loss_D: -0.030814 Loss_G: -0.000585 Loss_D_real: -0.007493 Loss_D_fake 0.023322
[296/5000][285/535][30272] Loss_D: -0.031248 Loss_G: 0.019556 Loss_D_real: -0.024674 Loss_D_fake 0.006574
[296/5000][290/535][30273] Loss_D: -0.033128 Loss_G: 0.015881 Loss_D_real: -0.019511 Loss_D_fake 0.013617
[296/5000][295/535][30274] Loss_D: -0.032229 Loss_G: 0.011412 Loss_D_real: -0.023239 Loss_D_fake 0.008990
[296/5000][300/535][30275] Loss_D: -0.032935 Loss_G: 0.005868 Loss_D_real: -0.008227 Loss_D_fake 0.024708
[296/5000][305/535][30276] Loss_D: -0.031298 Loss_G: 0.021157 Loss_D_real: -0.018629 Loss_D_fake 0.012669
[296/5000][310/535][30277] Loss_D: -0.033751 Loss_G: 0.010050 Loss_D_real: -0.011725 Loss_D_fake 0.022027
[296/5000][315/535][30278] Loss_D: -0.030176 Loss_G: 0.026217 Loss_D_real: -0.032063 Loss_D_fake -0.001887
[296/5000][320/535][30279] Loss_D: -0.030502 Loss_G: 0.005945 Loss_D_real: -0.022395 Loss_D_fake 0.008107
[296/5000][325/535][30280] Loss_D: -0.031753 Loss_G: 0.028288 Loss_D_real: -0.033623 Loss_D_fake -0.001870
[296/5000][330/535][30281] Loss_D: -0.031513 Loss_G: 0.025999 Loss_D_real: -0.031767 Loss_D_fake -0.000255
[296/5000][335/535][30282] Loss_D: -0.031851 Loss_G: 0.016537 Loss_D_real: -0.025266 Loss_D_fake 0.006585
[296/5000][340/535][30283] Loss_D: -0.031796 Loss_G: 0.013094 Loss_D_real: -0.021233 Loss_D_fake 0.010563
[296/5000][345/535][30284] Loss_D: -0.032903 Loss_G: 0.007768 Loss_D_real: -0.008556 Loss_D_fake 0.024347
[296/5000][350/535][30285] Loss_D: -0.031480 Loss_G: 0.017924 Loss_D_real: -0.024321 Loss_D_fake 0.007159
[296/5000][355/535][30286] Loss_D: -0.032728 Loss_G: 0.020817 Loss_D_real: -0.029580 Loss_D_fake 0.003147
[296/5000][360/535][30287] Loss_D: -0.032781 Loss_G: 0.028155 Loss_D_real: -0.025505 Loss_D_fake 0.007276
[296/5000][365/535][30288] Loss_D: -0.030777 Loss_G: 0.021221 Loss_D_real: -0.027604 Loss_D_fake 0.003173
[296/5000][370/535][30289] Loss_D: -0.032884 Loss_G: 0.015605 Loss_D_real: -0.014326 Loss_D_fake 0.018557
[296/5000][375/535][30290] Loss_D: -0.032497 Loss_G: 0.019469 Loss_D_real: -0.025836 Loss_D_fake 0.006661
[296/5000][380/535][30291] Loss_D: -0.032128 Loss_G: 0.034872 Loss_D_real: -0.030564 Loss_D_fake 0.001564
[296/5000][385/535][30292] Loss_D: -0.032801 Loss_G: 0.003556 Loss_D_real: -0.008773 Loss_D_fake 0.024029
[296/5000][390/535][30293] Loss_D: -0.032355 Loss_G: 0.018001 Loss_D_real: -0.028168 Loss_D_fake 0.004187
[296/5000][395/535][30294] Loss_D: -0.030482 Loss_G: 0.036814 Loss_D_real: -0.039783 Loss_D_fake -0.009301
[296/5000][400/535][30295] Loss_D: -0.030739 Loss_G: 0.043060 Loss_D_real: -0.037787 Loss_D_fake -0.007048
[296/5000][405/535][30296] Loss_D: -0.032319 Loss_G: 0.018776 Loss_D_real: -0.018288 Loss_D_fake 0.014031
[296/5000][410/535][30297] Loss_D: -0.032237 Loss_G: -0.005825 Loss_D_real: -0.011096 Loss_D_fake 0.021141
[296/5000][415/535][30298] Loss_D: -0.030360 Loss_G: 0.027446 Loss_D_real: -0.030083 Loss_D_fake 0.000278
[296/5000][420/535][30299] Loss_D: -0.031153 Loss_G: -0.008840 Loss_D_real: -0.000984 Loss_D_fake 0.030168
[296/5000][425/535][30300] Loss_D: -0.030445 Loss_G: 0.024031 Loss_D_real: -0.024038 Loss_D_fake 0.006407
[296/5000][430/535][30301] Loss_D: -0.031043 Loss_G: -0.005460 Loss_D_real: -0.009841 Loss_D_fake 0.021201
[296/5000][435/535][30302] Loss_D: -0.030603 Loss_G: 0.031586 Loss_D_real: -0.030984 Loss_D_fake -0.000381
[296/5000][440/535][30303] Loss_D: -0.031875 Loss_G: 0.021730 Loss_D_real: -0.025161 Loss_D_fake 0.006713
[296/5000][445/535][30304] Loss_D: -0.031302 Loss_G: -0.000499 Loss_D_real: -0.013257 Loss_D_fake 0.018045
[296/5000][450/535][30305] Loss_D: -0.032977 Loss_G: 0.017843 Loss_D_real: -0.019189 Loss_D_fake 0.013788
[296/5000][455/535][30306] Loss_D: -0.030922 Loss_G: 0.016131 Loss_D_real: -0.022469 Loss_D_fake 0.008453
[296/5000][460/535][30307] Loss_D: -0.032248 Loss_G: 0.038298 Loss_D_real: -0.024140 Loss_D_fake 0.008107
[296/5000][465/535][30308] Loss_D: -0.030322 Loss_G: -0.001308 Loss_D_real: -0.007794 Loss_D_fake 0.022528
[296/5000][470/535][30309] Loss_D: -0.032256 Loss_G: 0.022953 Loss_D_real: -0.029519 Loss_D_fake 0.002737
[296/5000][475/535][30310] Loss_D: -0.029775 Loss_G: 0.026545 Loss_D_real: -0.030258 Loss_D_fake -0.000483
[296/5000][480/535][30311] Loss_D: -0.032470 Loss_G: 0.006533 Loss_D_real: -0.014832 Loss_D_fake 0.017638
[296/5000][485/535][30312] Loss_D: -0.033033 Loss_G: 0.011882 Loss_D_real: -0.015119 Loss_D_fake 0.017914
[296/5000][490/535][30313] Loss_D: -0.033420 Loss_G: 0.018925 Loss_D_real: -0.018433 Loss_D_fake 0.014987
[296/5000][495/535][30314] Loss_D: -0.030456 Loss_G: 0.002937 Loss_D_real: -0.004274 Loss_D_fake 0.026181
[296/5000][500/535][30315] Loss_D: -0.032245 Loss_G: 0.007705 Loss_D_real: -0.020119 Loss_D_fake 0.012126
[296/5000][505/535][30316] Loss_D: -0.031047 Loss_G: 0.029655 Loss_D_real: -0.033406 Loss_D_fake -0.002359
[296/5000][510/535][30317] Loss_D: -0.032100 Loss_G: 0.010492 Loss_D_real: -0.013352 Loss_D_fake 0.018748
[296/5000][515/535][30318] Loss_D: -0.031469 Loss_G: 0.036727 Loss_D_real: -0.033121 Loss_D_fake -0.001652
[296/5000][520/535][30319] Loss_D: -0.030712 Loss_G: 0.045861 Loss_D_real: -0.038117 Loss_D_fake -0.007404
[296/5000][525/535][30320] Loss_D: -0.031846 Loss_G: 0.004322 Loss_D_real: -0.006666 Loss_D_fake 0.025180
[296/5000][530/535][30321] Loss_D: -0.031417 Loss_G: -0.002800 Loss_D_real: -0.009623 Loss_D_fake 0.021793
[296/5000][535/535][30322] Loss_D: -0.028400 Loss_G: 0.034651 Loss_D_real: -0.025620 Loss_D_fake 0.002780
[297/5000][5/535][30323] Loss_D: -0.030098 Loss_G: 0.038386 Loss_D_real: -0.032720 Loss_D_fake -0.002622
[297/5000][10/535][30324] Loss_D: -0.032768 Loss_G: 0.007216 Loss_D_real: -0.019552 Loss_D_fake 0.013215
[297/5000][15/535][30325] Loss_D: -0.033239 Loss_G: 0.001950 Loss_D_real: -0.010759 Loss_D_fake 0.022480
[297/5000][20/535][30326] Loss_D: -0.032884 Loss_G: 0.028587 Loss_D_real: -0.027789 Loss_D_fake 0.005095
[297/5000][25/535][30327] Loss_D: -0.031323 Loss_G: 0.019234 Loss_D_real: -0.013357 Loss_D_fake 0.017966
[297/5000][30/535][30328] Loss_D: -0.032958 Loss_G: 0.018707 Loss_D_real: -0.024760 Loss_D_fake 0.008198
[297/5000][35/535][30329] Loss_D: -0.030940 Loss_G: -0.001730 Loss_D_real: -0.004280 Loss_D_fake 0.026660
[297/5000][40/535][30330] Loss_D: -0.031249 Loss_G: -0.007115 Loss_D_real: -0.010659 Loss_D_fake 0.020590
[297/5000][45/535][30331] Loss_D: -0.029080 Loss_G: 0.033002 Loss_D_real: -0.043136 Loss_D_fake -0.014056
[297/5000][50/535][30332] Loss_D: -0.032352 Loss_G: 0.010488 Loss_D_real: -0.015699 Loss_D_fake 0.016653
[297/5000][55/535][30333] Loss_D: -0.032647 Loss_G: 0.018227 Loss_D_real: -0.022863 Loss_D_fake 0.009784
[297/5000][60/535][30334] Loss_D: -0.031823 Loss_G: 0.011378 Loss_D_real: -0.008385 Loss_D_fake 0.023438
[297/5000][65/535][30335] Loss_D: -0.029722 Loss_G: 0.044974 Loss_D_real: -0.039228 Loss_D_fake -0.009506
[297/5000][70/535][30336] Loss_D: -0.031223 Loss_G: 0.001535 Loss_D_real: -0.009954 Loss_D_fake 0.021269
[297/5000][75/535][30337] Loss_D: -0.032156 Loss_G: 0.017612 Loss_D_real: -0.018113 Loss_D_fake 0.014043
[297/5000][80/535][30338] Loss_D: -0.031151 Loss_G: 0.002715 Loss_D_real: -0.014294 Loss_D_fake 0.016857
[297/5000][85/535][30339] Loss_D: -0.031383 Loss_G: 0.006421 Loss_D_real: -0.006147 Loss_D_fake 0.025237
[297/5000][90/535][30340] Loss_D: -0.031499 Loss_G: 0.019544 Loss_D_real: -0.024464 Loss_D_fake 0.007035
[297/5000][95/535][30341] Loss_D: -0.032036 Loss_G: 0.020644 Loss_D_real: -0.021707 Loss_D_fake 0.010329
[297/5000][100/535][30342] Loss_D: -0.031881 Loss_G: -0.004229 Loss_D_real: -0.001232 Loss_D_fake 0.030649
[297/5000][105/535][30343] Loss_D: -0.031172 Loss_G: 0.004559 Loss_D_real: -0.010827 Loss_D_fake 0.020346
[297/5000][110/535][30344] Loss_D: -0.033354 Loss_G: 0.015849 Loss_D_real: -0.020652 Loss_D_fake 0.012702
[297/5000][115/535][30345] Loss_D: -0.031312 Loss_G: 0.028556 Loss_D_real: -0.032354 Loss_D_fake -0.001042
[297/5000][120/535][30346] Loss_D: -0.031093 Loss_G: 0.030616 Loss_D_real: -0.027950 Loss_D_fake 0.003143
[297/5000][125/535][30347] Loss_D: -0.031760 Loss_G: 0.000512 Loss_D_real: -0.008463 Loss_D_fake 0.023297
[297/5000][130/535][30348] Loss_D: -0.031188 Loss_G: 0.031866 Loss_D_real: -0.031038 Loss_D_fake 0.000149
[297/5000][135/535][30349] Loss_D: -0.030161 Loss_G: -0.012211 Loss_D_real: -0.004655 Loss_D_fake 0.025506
[297/5000][140/535][30350] Loss_D: -0.030794 Loss_G: 0.027416 Loss_D_real: -0.027480 Loss_D_fake 0.003314
[297/5000][145/535][30351] Loss_D: -0.031437 Loss_G: 0.032505 Loss_D_real: -0.028566 Loss_D_fake 0.002870
[297/5000][150/535][30352] Loss_D: -0.031409 Loss_G: 0.014973 Loss_D_real: -0.017252 Loss_D_fake 0.014158
[297/5000][155/535][30353] Loss_D: -0.031696 Loss_G: -0.001978 Loss_D_real: -0.009385 Loss_D_fake 0.022311
[297/5000][160/535][30354] Loss_D: -0.030535 Loss_G: 0.033177 Loss_D_real: -0.028927 Loss_D_fake 0.001608
[297/5000][165/535][30355] Loss_D: -0.031668 Loss_G: 0.005421 Loss_D_real: -0.009494 Loss_D_fake 0.022173
[297/5000][170/535][30356] Loss_D: -0.030442 Loss_G: 0.007365 Loss_D_real: -0.013410 Loss_D_fake 0.017032
[297/5000][175/535][30357] Loss_D: -0.033872 Loss_G: 0.021139 Loss_D_real: -0.022784 Loss_D_fake 0.011088
[297/5000][180/535][30358] Loss_D: -0.031229 Loss_G: 0.031228 Loss_D_real: -0.037934 Loss_D_fake -0.006705
[297/5000][185/535][30359] Loss_D: -0.031014 Loss_G: 0.029017 Loss_D_real: -0.029306 Loss_D_fake 0.001708
[297/5000][190/535][30360] Loss_D: -0.031409 Loss_G: -0.006881 Loss_D_real: -0.007346 Loss_D_fake 0.024062
[297/5000][195/535][30361] Loss_D: -0.032412 Loss_G: 0.012024 Loss_D_real: -0.017441 Loss_D_fake 0.014971
[297/5000][200/535][30362] Loss_D: -0.032215 Loss_G: 0.013502 Loss_D_real: -0.020597 Loss_D_fake 0.011618
[297/5000][205/535][30363] Loss_D: -0.030786 Loss_G: 0.041246 Loss_D_real: -0.041093 Loss_D_fake -0.010307
[297/5000][210/535][30364] Loss_D: -0.032049 Loss_G: 0.008756 Loss_D_real: -0.010555 Loss_D_fake 0.021494
[297/5000][215/535][30365] Loss_D: -0.032093 Loss_G: 0.022473 Loss_D_real: -0.023399 Loss_D_fake 0.008694
[297/5000][220/535][30366] Loss_D: -0.032123 Loss_G: 0.002331 Loss_D_real: -0.005358 Loss_D_fake 0.026765
[297/5000][225/535][30367] Loss_D: -0.033383 Loss_G: 0.028131 Loss_D_real: -0.023764 Loss_D_fake 0.009619
[297/5000][230/535][30368] Loss_D: -0.031831 Loss_G: -0.004903 Loss_D_real: -0.002469 Loss_D_fake 0.029362
[297/5000][235/535][30369] Loss_D: -0.032015 Loss_G: 0.037350 Loss_D_real: -0.039421 Loss_D_fake -0.007407
[297/5000][240/535][30370] Loss_D: -0.033327 Loss_G: 0.013495 Loss_D_real: -0.019497 Loss_D_fake 0.013830
[297/5000][245/535][30371] Loss_D: -0.030466 Loss_G: -0.006304 Loss_D_real: -0.003145 Loss_D_fake 0.027321
[297/5000][250/535][30372] Loss_D: -0.031804 Loss_G: 0.015886 Loss_D_real: -0.024645 Loss_D_fake 0.007158
[297/5000][255/535][30373] Loss_D: -0.032230 Loss_G: 0.010779 Loss_D_real: -0.018807 Loss_D_fake 0.013423
[297/5000][260/535][30374] Loss_D: -0.031640 Loss_G: 0.026652 Loss_D_real: -0.024032 Loss_D_fake 0.007608
[297/5000][265/535][30375] Loss_D: -0.032034 Loss_G: -0.006354 Loss_D_real: -0.008611 Loss_D_fake 0.023423
[297/5000][270/535][30376] Loss_D: -0.031387 Loss_G: 0.010632 Loss_D_real: -0.011971 Loss_D_fake 0.019416
[297/5000][275/535][30377] Loss_D: -0.032835 Loss_G: 0.042437 Loss_D_real: -0.036479 Loss_D_fake -0.003644
[297/5000][280/535][30378] Loss_D: -0.031647 Loss_G: 0.016747 Loss_D_real: -0.017067 Loss_D_fake 0.014580
[297/5000][285/535][30379] Loss_D: -0.030659 Loss_G: 0.014637 Loss_D_real: -0.021605 Loss_D_fake 0.009054
[297/5000][290/535][30380] Loss_D: -0.032464 Loss_G: 0.009226 Loss_D_real: -0.016001 Loss_D_fake 0.016463
[297/5000][295/535][30381] Loss_D: -0.031409 Loss_G: 0.037097 Loss_D_real: -0.040245 Loss_D_fake -0.008836
[297/5000][300/535][30382] Loss_D: -0.031657 Loss_G: 0.000153 Loss_D_real: -0.007328 Loss_D_fake 0.024329
[297/5000][305/535][30383] Loss_D: -0.032345 Loss_G: 0.031627 Loss_D_real: -0.030863 Loss_D_fake 0.001482
[297/5000][310/535][30384] Loss_D: -0.032460 Loss_G: 0.026728 Loss_D_real: -0.022648 Loss_D_fake 0.009813
[297/5000][315/535][30385] Loss_D: -0.031872 Loss_G: 0.027472 Loss_D_real: -0.034085 Loss_D_fake -0.002213
[297/5000][320/535][30386] Loss_D: -0.032617 Loss_G: 0.034170 Loss_D_real: -0.033048 Loss_D_fake -0.000431
[297/5000][325/535][30387] Loss_D: -0.032725 Loss_G: 0.005123 Loss_D_real: -0.015019 Loss_D_fake 0.017706
[297/5000][330/535][30388] Loss_D: -0.029437 Loss_G: 0.023103 Loss_D_real: -0.016315 Loss_D_fake 0.013122
[297/5000][335/535][30389] Loss_D: -0.031612 Loss_G: 0.001639 Loss_D_real: -0.013424 Loss_D_fake 0.018188
[297/5000][340/535][30390] Loss_D: -0.030455 Loss_G: 0.039393 Loss_D_real: -0.036533 Loss_D_fake -0.006078
[297/5000][345/535][30391] Loss_D: -0.031718 Loss_G: 0.022745 Loss_D_real: -0.021774 Loss_D_fake 0.009943
[297/5000][350/535][30392] Loss_D: -0.031386 Loss_G: -0.003042 Loss_D_real: -0.004858 Loss_D_fake 0.026527
[297/5000][355/535][30393] Loss_D: -0.032698 Loss_G: 0.027540 Loss_D_real: -0.022999 Loss_D_fake 0.009699
[297/5000][360/535][30394] Loss_D: -0.031662 Loss_G: 0.001411 Loss_D_real: -0.013921 Loss_D_fake 0.017741
[297/5000][365/535][30395] Loss_D: -0.032400 Loss_G: 0.015679 Loss_D_real: -0.014657 Loss_D_fake 0.017743
[297/5000][370/535][30396] Loss_D: -0.032562 Loss_G: 0.025246 Loss_D_real: -0.024559 Loss_D_fake 0.008003
[297/5000][375/535][30397] Loss_D: -0.032558 Loss_G: 0.021073 Loss_D_real: -0.026840 Loss_D_fake 0.005718
[297/5000][380/535][30398] Loss_D: -0.032622 Loss_G: 0.035639 Loss_D_real: -0.038515 Loss_D_fake -0.005893
[297/5000][385/535][30399] Loss_D: -0.031387 Loss_G: -0.002110 Loss_D_real: -0.003813 Loss_D_fake 0.027574
[297/5000][390/535][30400] Loss_D: -0.029854 Loss_G: 0.013827 Loss_D_real: -0.025416 Loss_D_fake 0.004438
[297/5000][395/535][30401] Loss_D: -0.031840 Loss_G: 0.026712 Loss_D_real: -0.027086 Loss_D_fake 0.004753
[297/5000][400/535][30402] Loss_D: -0.031824 Loss_G: 0.006553 Loss_D_real: -0.013687 Loss_D_fake 0.018137
[297/5000][405/535][30403] Loss_D: -0.030552 Loss_G: -0.001406 Loss_D_real: 0.000019 Loss_D_fake 0.030571
[297/5000][410/535][30404] Loss_D: -0.030521 Loss_G: 0.026396 Loss_D_real: -0.033064 Loss_D_fake -0.002543
[297/5000][415/535][30405] Loss_D: -0.030610 Loss_G: 0.009653 Loss_D_real: -0.025519 Loss_D_fake 0.005092
[297/5000][420/535][30406] Loss_D: -0.030723 Loss_G: 0.006418 Loss_D_real: -0.013486 Loss_D_fake 0.017237
[297/5000][425/535][30407] Loss_D: -0.032637 Loss_G: 0.022481 Loss_D_real: -0.020512 Loss_D_fake 0.012125
[297/5000][430/535][30408] Loss_D: -0.031605 Loss_G: 0.024405 Loss_D_real: -0.026261 Loss_D_fake 0.005344
[297/5000][435/535][30409] Loss_D: -0.031322 Loss_G: 0.000137 Loss_D_real: -0.010889 Loss_D_fake 0.020433
[297/5000][440/535][30410] Loss_D: -0.030679 Loss_G: 0.030167 Loss_D_real: -0.038002 Loss_D_fake -0.007323
[297/5000][445/535][30411] Loss_D: -0.029883 Loss_G: 0.020653 Loss_D_real: -0.021181 Loss_D_fake 0.008702
[297/5000][450/535][30412] Loss_D: -0.031198 Loss_G: -0.007013 Loss_D_real: -0.004316 Loss_D_fake 0.026882
[297/5000][455/535][30413] Loss_D: -0.026652 Loss_G: 0.034127 Loss_D_real: -0.042776 Loss_D_fake -0.016125
[297/5000][460/535][30414] Loss_D: -0.031876 Loss_G: 0.018382 Loss_D_real: -0.017506 Loss_D_fake 0.014370
[297/5000][465/535][30415] Loss_D: -0.030949 Loss_G: -0.009192 Loss_D_real: -0.003706 Loss_D_fake 0.027244
[297/5000][470/535][30416] Loss_D: -0.031929 Loss_G: 0.030927 Loss_D_real: -0.024067 Loss_D_fake 0.007862
[297/5000][475/535][30417] Loss_D: -0.031810 Loss_G: -0.000722 Loss_D_real: -0.009870 Loss_D_fake 0.021940
[297/5000][480/535][30418] Loss_D: -0.031637 Loss_G: 0.007573 Loss_D_real: -0.013103 Loss_D_fake 0.018535
[297/5000][485/535][30419] Loss_D: -0.032254 Loss_G: 0.029393 Loss_D_real: -0.030578 Loss_D_fake 0.001676
[297/5000][490/535][30420] Loss_D: -0.032968 Loss_G: 0.023767 Loss_D_real: -0.022082 Loss_D_fake 0.010886
[297/5000][495/535][30421] Loss_D: -0.032070 Loss_G: 0.019195 Loss_D_real: -0.015092 Loss_D_fake 0.016978
[297/5000][500/535][30422] Loss_D: -0.030760 Loss_G: 0.033819 Loss_D_real: -0.040388 Loss_D_fake -0.009628
[297/5000][505/535][30423] Loss_D: -0.032272 Loss_G: 0.011007 Loss_D_real: -0.007483 Loss_D_fake 0.024790
[297/5000][510/535][30424] Loss_D: -0.031669 Loss_G: 0.000844 Loss_D_real: -0.009527 Loss_D_fake 0.022142
[297/5000][515/535][30425] Loss_D: -0.031723 Loss_G: 0.038141 Loss_D_real: -0.035827 Loss_D_fake -0.004103
[297/5000][520/535][30426] Loss_D: -0.030125 Loss_G: 0.009003 Loss_D_real: -0.013223 Loss_D_fake 0.016902
[297/5000][525/535][30427] Loss_D: -0.033365 Loss_G: 0.032335 Loss_D_real: -0.031154 Loss_D_fake 0.002210
[297/5000][530/535][30428] Loss_D: -0.029369 Loss_G: -0.009498 Loss_D_real: -0.003262 Loss_D_fake 0.026107
[297/5000][535/535][30429] Loss_D: -0.036090 Loss_G: 0.024682 Loss_D_real: -0.030687 Loss_D_fake 0.005403
[298/5000][5/535][30430] Loss_D: -0.032444 Loss_G: 0.011611 Loss_D_real: -0.009235 Loss_D_fake 0.023209
[298/5000][10/535][30431] Loss_D: -0.032291 Loss_G: 0.000538 Loss_D_real: -0.005477 Loss_D_fake 0.026814
[298/5000][15/535][30432] Loss_D: -0.032261 Loss_G: 0.020520 Loss_D_real: -0.026010 Loss_D_fake 0.006250
[298/5000][20/535][30433] Loss_D: -0.032528 Loss_G: 0.037168 Loss_D_real: -0.031642 Loss_D_fake 0.000886
[298/5000][25/535][30434] Loss_D: -0.031439 Loss_G: 0.007393 Loss_D_real: -0.007002 Loss_D_fake 0.024437
[298/5000][30/535][30435] Loss_D: -0.032323 Loss_G: 0.033214 Loss_D_real: -0.035342 Loss_D_fake -0.003019
[298/5000][35/535][30436] Loss_D: -0.032114 Loss_G: 0.024129 Loss_D_real: -0.019607 Loss_D_fake 0.012507
[298/5000][40/535][30437] Loss_D: -0.033539 Loss_G: 0.019353 Loss_D_real: -0.024581 Loss_D_fake 0.008957
[298/5000][45/535][30438] Loss_D: -0.031456 Loss_G: 0.027816 Loss_D_real: -0.030378 Loss_D_fake 0.001078
[298/5000][50/535][30439] Loss_D: -0.032342 Loss_G: 0.008484 Loss_D_real: -0.012766 Loss_D_fake 0.019577
[298/5000][55/535][30440] Loss_D: -0.031886 Loss_G: 0.033585 Loss_D_real: -0.036992 Loss_D_fake -0.005106
[298/5000][60/535][30441] Loss_D: -0.030547 Loss_G: 0.002278 Loss_D_real: -0.007879 Loss_D_fake 0.022668
[298/5000][65/535][30442] Loss_D: -0.031693 Loss_G: 0.017204 Loss_D_real: -0.021987 Loss_D_fake 0.009706
[298/5000][70/535][30443] Loss_D: -0.032177 Loss_G: 0.012766 Loss_D_real: -0.019580 Loss_D_fake 0.012597
[298/5000][75/535][30444] Loss_D: -0.032662 Loss_G: 0.012829 Loss_D_real: -0.030152 Loss_D_fake 0.002510
[298/5000][80/535][30445] Loss_D: -0.032960 Loss_G: 0.015438 Loss_D_real: -0.015000 Loss_D_fake 0.017960
[298/5000][85/535][30446] Loss_D: -0.031674 Loss_G: 0.021794 Loss_D_real: -0.019212 Loss_D_fake 0.012461
[298/5000][90/535][30447] Loss_D: -0.032772 Loss_G: 0.007363 Loss_D_real: -0.023817 Loss_D_fake 0.008955
[298/5000][95/535][30448] Loss_D: -0.029528 Loss_G: 0.042944 Loss_D_real: -0.045097 Loss_D_fake -0.015569
[298/5000][100/535][30449] Loss_D: -0.032884 Loss_G: -0.000205 Loss_D_real: -0.012589 Loss_D_fake 0.020295
[298/5000][105/535][30450] Loss_D: -0.031698 Loss_G: -0.001037 Loss_D_real: -0.007507 Loss_D_fake 0.024190
[298/5000][110/535][30451] Loss_D: -0.030908 Loss_G: 0.031207 Loss_D_real: -0.033773 Loss_D_fake -0.002865
[298/5000][115/535][30452] Loss_D: -0.032230 Loss_G: 0.028055 Loss_D_real: -0.027856 Loss_D_fake 0.004373
[298/5000][120/535][30453] Loss_D: -0.032123 Loss_G: 0.018253 Loss_D_real: -0.019621 Loss_D_fake 0.012502
[298/5000][125/535][30454] Loss_D: -0.031694 Loss_G: 0.009000 Loss_D_real: -0.025684 Loss_D_fake 0.006010
[298/5000][130/535][30455] Loss_D: -0.031117 Loss_G: 0.040414 Loss_D_real: -0.036831 Loss_D_fake -0.005714
[298/5000][135/535][30456] Loss_D: -0.031402 Loss_G: 0.016643 Loss_D_real: -0.019279 Loss_D_fake 0.012123
[298/5000][140/535][30457] Loss_D: -0.031536 Loss_G: 0.031101 Loss_D_real: -0.021049 Loss_D_fake 0.010487
[298/5000][145/535][30458] Loss_D: -0.031477 Loss_G: 0.026613 Loss_D_real: -0.025668 Loss_D_fake 0.005809
[298/5000][150/535][30459] Loss_D: -0.031357 Loss_G: -0.009627 Loss_D_real: -0.000905 Loss_D_fake 0.030452
[298/5000][155/535][30460] Loss_D: -0.029788 Loss_G: 0.037184 Loss_D_real: -0.033954 Loss_D_fake -0.004166
[298/5000][160/535][30461] Loss_D: -0.031480 Loss_G: 0.019892 Loss_D_real: -0.020496 Loss_D_fake 0.010984
[298/5000][165/535][30462] Loss_D: -0.032322 Loss_G: 0.010220 Loss_D_real: -0.024398 Loss_D_fake 0.007924
[298/5000][170/535][30463] Loss_D: -0.033539 Loss_G: 0.010551 Loss_D_real: -0.020419 Loss_D_fake 0.013120
[298/5000][175/535][30464] Loss_D: -0.033240 Loss_G: 0.028121 Loss_D_real: -0.029240 Loss_D_fake 0.004000
[298/5000][180/535][30465] Loss_D: -0.030878 Loss_G: -0.016447 Loss_D_real: 0.001411 Loss_D_fake 0.032290
[298/5000][185/535][30466] Loss_D: -0.030992 Loss_G: 0.021862 Loss_D_real: -0.024808 Loss_D_fake 0.006185
[298/5000][190/535][30467] Loss_D: -0.029973 Loss_G: 0.007904 Loss_D_real: -0.014765 Loss_D_fake 0.015209
[298/5000][195/535][30468] Loss_D: -0.031330 Loss_G: 0.027120 Loss_D_real: -0.025943 Loss_D_fake 0.005387
[298/5000][200/535][30469] Loss_D: -0.031820 Loss_G: 0.009036 Loss_D_real: -0.008357 Loss_D_fake 0.023463
[298/5000][205/535][30470] Loss_D: -0.031092 Loss_G: 0.020853 Loss_D_real: -0.018309 Loss_D_fake 0.012783
[298/5000][210/535][30471] Loss_D: -0.031562 Loss_G: 0.015223 Loss_D_real: -0.024424 Loss_D_fake 0.007137
[298/5000][215/535][30472] Loss_D: -0.031930 Loss_G: 0.037743 Loss_D_real: -0.031533 Loss_D_fake 0.000397
[298/5000][220/535][30473] Loss_D: -0.030582 Loss_G: 0.002750 Loss_D_real: -0.006816 Loss_D_fake 0.023767
[298/5000][225/535][30474] Loss_D: -0.030307 Loss_G: -0.008077 Loss_D_real: -0.002709 Loss_D_fake 0.027597
[298/5000][230/535][30475] Loss_D: -0.032050 Loss_G: 0.030781 Loss_D_real: -0.026391 Loss_D_fake 0.005659
[298/5000][235/535][30476] Loss_D: -0.030829 Loss_G: 0.018964 Loss_D_real: -0.025979 Loss_D_fake 0.004850
[298/5000][240/535][30477] Loss_D: -0.032312 Loss_G: 0.029609 Loss_D_real: -0.039717 Loss_D_fake -0.007404
[298/5000][245/535][30478] Loss_D: -0.032702 Loss_G: 0.021961 Loss_D_real: -0.026520 Loss_D_fake 0.006182
[298/5000][250/535][30479] Loss_D: -0.032976 Loss_G: 0.019017 Loss_D_real: -0.016473 Loss_D_fake 0.016503
[298/5000][255/535][30480] Loss_D: -0.030408 Loss_G: -0.015703 Loss_D_real: 0.004319 Loss_D_fake 0.034728
[298/5000][260/535][30481] Loss_D: -0.029638 Loss_G: 0.010631 Loss_D_real: -0.017051 Loss_D_fake 0.012586
[298/5000][265/535][30482] Loss_D: -0.032510 Loss_G: 0.016690 Loss_D_real: -0.017806 Loss_D_fake 0.014705
[298/5000][270/535][30483] Loss_D: -0.030101 Loss_G: 0.028721 Loss_D_real: -0.027076 Loss_D_fake 0.003025
[298/5000][275/535][30484] Loss_D: -0.030381 Loss_G: 0.020259 Loss_D_real: -0.014487 Loss_D_fake 0.015893
[298/5000][280/535][30485] Loss_D: -0.030980 Loss_G: 0.016069 Loss_D_real: -0.014788 Loss_D_fake 0.016192
[298/5000][285/535][30486] Loss_D: -0.031054 Loss_G: 0.041263 Loss_D_real: -0.027720 Loss_D_fake 0.003333
[298/5000][290/535][30487] Loss_D: -0.033132 Loss_G: 0.034284 Loss_D_real: -0.025387 Loss_D_fake 0.007745
[298/5000][295/535][30488] Loss_D: -0.032086 Loss_G: 0.006624 Loss_D_real: -0.009797 Loss_D_fake 0.022290
[298/5000][300/535][30489] Loss_D: -0.030273 Loss_G: 0.019880 Loss_D_real: -0.021523 Loss_D_fake 0.008750
[298/5000][305/535][30490] Loss_D: -0.033449 Loss_G: 0.015842 Loss_D_real: -0.025512 Loss_D_fake 0.007937
[298/5000][310/535][30491] Loss_D: -0.032567 Loss_G: 0.029180 Loss_D_real: -0.025800 Loss_D_fake 0.006766
[298/5000][315/535][30492] Loss_D: -0.030769 Loss_G: 0.029955 Loss_D_real: -0.034539 Loss_D_fake -0.003770
[298/5000][320/535][30493] Loss_D: -0.031026 Loss_G: 0.022617 Loss_D_real: -0.028101 Loss_D_fake 0.002924
[298/5000][325/535][30494] Loss_D: -0.031751 Loss_G: -0.005196 Loss_D_real: -0.006009 Loss_D_fake 0.025742
[298/5000][330/535][30495] Loss_D: -0.029005 Loss_G: 0.036896 Loss_D_real: -0.044878 Loss_D_fake -0.015873
[298/5000][335/535][30496] Loss_D: -0.031420 Loss_G: 0.017309 Loss_D_real: -0.013293 Loss_D_fake 0.018126
[298/5000][340/535][30497] Loss_D: -0.031135 Loss_G: 0.027726 Loss_D_real: -0.036661 Loss_D_fake -0.005526
[298/5000][345/535][30498] Loss_D: -0.033293 Loss_G: 0.023627 Loss_D_real: -0.018938 Loss_D_fake 0.014355
[298/5000][350/535][30499] Loss_D: -0.031614 Loss_G: -0.009702 Loss_D_real: -0.005731 Loss_D_fake 0.025882
[298/5000][355/535][30500] Loss_D: -0.031997 Loss_G: 0.028251 Loss_D_real: -0.025424 Loss_D_fake 0.006572
[298/5000][455/535][30501] Loss_D: -0.035005 Loss_G: 0.013857 Loss_D_real: -0.012627 Loss_D_fake 0.022378
[298/5000][460/535][30502] Loss_D: -0.031809 Loss_G: 0.023912 Loss_D_real: -0.022016 Loss_D_fake 0.009793
[298/5000][465/535][30503] Loss_D: -0.029402 Loss_G: 0.025549 Loss_D_real: -0.024122 Loss_D_fake 0.005280
[298/5000][470/535][30504] Loss_D: -0.029598 Loss_G: 0.005266 Loss_D_real: -0.013395 Loss_D_fake 0.016203
[298/5000][475/535][30505] Loss_D: -0.030942 Loss_G: 0.015067 Loss_D_real: -0.021987 Loss_D_fake 0.008955
[298/5000][480/535][30506] Loss_D: -0.029422 Loss_G: 0.015829 Loss_D_real: -0.021800 Loss_D_fake 0.007622
[298/5000][485/535][30507] Loss_D: -0.031166 Loss_G: -0.005195 Loss_D_real: -0.013434 Loss_D_fake 0.017733
[298/5000][490/535][30508] Loss_D: -0.031584 Loss_G: 0.022283 Loss_D_real: -0.015731 Loss_D_fake 0.015852
[298/5000][495/535][30509] Loss_D: -0.029377 Loss_G: 0.004904 Loss_D_real: -0.020282 Loss_D_fake 0.009094
[298/5000][500/535][30510] Loss_D: -0.030743 Loss_G: 0.010469 Loss_D_real: -0.016556 Loss_D_fake 0.014187
[298/5000][505/535][30511] Loss_D: -0.031134 Loss_G: 0.023265 Loss_D_real: -0.023883 Loss_D_fake 0.007252
[298/5000][510/535][30512] Loss_D: -0.031125 Loss_G: 0.011451 Loss_D_real: -0.009683 Loss_D_fake 0.021442
[298/5000][515/535][30513] Loss_D: -0.026503 Loss_G: 0.036415 Loss_D_real: -0.023945 Loss_D_fake 0.002557
[298/5000][520/535][30514] Loss_D: -0.030533 Loss_G: 0.016855 Loss_D_real: -0.011326 Loss_D_fake 0.019207
[298/5000][525/535][30515] Loss_D: -0.031536 Loss_G: 0.005812 Loss_D_real: -0.018810 Loss_D_fake 0.012726
[298/5000][530/535][30516] Loss_D: -0.031876 Loss_G: 0.023704 Loss_D_real: -0.025005 Loss_D_fake 0.006871
[298/5000][535/535][30517] Loss_D: -0.030253 Loss_G: 0.024568 Loss_D_real: -0.015560 Loss_D_fake 0.014692
[299/5000][5/535][30518] Loss_D: -0.031583 Loss_G: 0.005246 Loss_D_real: -0.010127 Loss_D_fake 0.021456
[299/5000][10/535][30519] Loss_D: -0.031670 Loss_G: -0.000038 Loss_D_real: -0.005240 Loss_D_fake 0.026431
[299/5000][15/535][30520] Loss_D: -0.029298 Loss_G: 0.018246 Loss_D_real: -0.020623 Loss_D_fake 0.008674
[299/5000][20/535][30521] Loss_D: -0.031357 Loss_G: 0.008192 Loss_D_real: -0.026661 Loss_D_fake 0.004696
[299/5000][25/535][30522] Loss_D: -0.030607 Loss_G: 0.033958 Loss_D_real: -0.028425 Loss_D_fake 0.002182
[299/5000][30/535][30523] Loss_D: -0.031505 Loss_G: 0.021558 Loss_D_real: -0.027886 Loss_D_fake 0.003620
[299/5000][35/535][30524] Loss_D: -0.032940 Loss_G: 0.018511 Loss_D_real: -0.014923 Loss_D_fake 0.018017
[299/5000][40/535][30525] Loss_D: -0.029579 Loss_G: -0.022706 Loss_D_real: 0.014192 Loss_D_fake 0.043770
[299/5000][45/535][30526] Loss_D: -0.031144 Loss_G: -0.004156 Loss_D_real: -0.013528 Loss_D_fake 0.017616
[299/5000][50/535][30527] Loss_D: -0.032121 Loss_G: 0.025680 Loss_D_real: -0.029603 Loss_D_fake 0.002518
[299/5000][55/535][30528] Loss_D: -0.032058 Loss_G: 0.008886 Loss_D_real: -0.014834 Loss_D_fake 0.017224
[299/5000][60/535][30529] Loss_D: -0.032677 Loss_G: 0.034233 Loss_D_real: -0.033072 Loss_D_fake -0.000395
[299/5000][65/535][30530] Loss_D: -0.033206 Loss_G: 0.009970 Loss_D_real: -0.010327 Loss_D_fake 0.022879
[299/5000][70/535][30531] Loss_D: -0.029696 Loss_G: -0.016040 Loss_D_real: -0.000859 Loss_D_fake 0.028837
[299/5000][75/535][30532] Loss_D: -0.031145 Loss_G: 0.029449 Loss_D_real: -0.029018 Loss_D_fake 0.002127
[299/5000][80/535][30533] Loss_D: -0.032354 Loss_G: 0.033123 Loss_D_real: -0.030769 Loss_D_fake 0.001585
[299/5000][85/535][30534] Loss_D: -0.032608 Loss_G: 0.021894 Loss_D_real: -0.022188 Loss_D_fake 0.010420
[299/5000][90/535][30535] Loss_D: -0.031334 Loss_G: 0.039820 Loss_D_real: -0.029781 Loss_D_fake 0.001553
[299/5000][95/535][30536] Loss_D: -0.030211 Loss_G: 0.008439 Loss_D_real: -0.011998 Loss_D_fake 0.018213
[299/5000][100/535][30537] Loss_D: -0.032894 Loss_G: 0.008908 Loss_D_real: -0.016501 Loss_D_fake 0.016393
[299/5000][105/535][30538] Loss_D: -0.030917 Loss_G: 0.030264 Loss_D_real: -0.034033 Loss_D_fake -0.003116
[299/5000][110/535][30539] Loss_D: -0.031269 Loss_G: 0.012276 Loss_D_real: -0.008095 Loss_D_fake 0.023174
[299/5000][115/535][30540] Loss_D: -0.031902 Loss_G: 0.026690 Loss_D_real: -0.029818 Loss_D_fake 0.002084
[299/5000][120/535][30541] Loss_D: -0.030329 Loss_G: 0.042754 Loss_D_real: -0.041420 Loss_D_fake -0.011091
[299/5000][125/535][30542] Loss_D: -0.030469 Loss_G: 0.000658 Loss_D_real: -0.006609 Loss_D_fake 0.023860
[299/5000][130/535][30543] Loss_D: -0.031972 Loss_G: 0.019430 Loss_D_real: -0.023609 Loss_D_fake 0.008363
[299/5000][135/535][30544] Loss_D: -0.032660 Loss_G: 0.032612 Loss_D_real: -0.030823 Loss_D_fake 0.001837
[299/5000][140/535][30545] Loss_D: -0.032778 Loss_G: -0.004441 Loss_D_real: -0.010768 Loss_D_fake 0.022009
[299/5000][145/535][30546] Loss_D: -0.030759 Loss_G: 0.015594 Loss_D_real: -0.030445 Loss_D_fake 0.000314
[299/5000][150/535][30547] Loss_D: -0.032468 Loss_G: 0.028286 Loss_D_real: -0.030938 Loss_D_fake 0.001530
[299/5000][155/535][30548] Loss_D: -0.031374 Loss_G: 0.022261 Loss_D_real: -0.025158 Loss_D_fake 0.006216
[299/5000][160/535][30549] Loss_D: -0.033409 Loss_G: 0.020520 Loss_D_real: -0.021793 Loss_D_fake 0.011616
[299/5000][165/535][30550] Loss_D: -0.032957 Loss_G: 0.014477 Loss_D_real: -0.019179 Loss_D_fake 0.013779
[299/5000][170/535][30551] Loss_D: -0.031700 Loss_G: 0.015031 Loss_D_real: -0.021036 Loss_D_fake 0.010664
[299/5000][175/535][30552] Loss_D: -0.032178 Loss_G: 0.035089 Loss_D_real: -0.044871 Loss_D_fake -0.012693
[299/5000][180/535][30553] Loss_D: -0.030739 Loss_G: -0.014002 Loss_D_real: 0.005032 Loss_D_fake 0.035771
[299/5000][185/535][30554] Loss_D: -0.030983 Loss_G: 0.026569 Loss_D_real: -0.024287 Loss_D_fake 0.006695
[299/5000][190/535][30555] Loss_D: -0.032405 Loss_G: 0.017093 Loss_D_real: -0.023467 Loss_D_fake 0.008938
[299/5000][195/535][30556] Loss_D: -0.031678 Loss_G: 0.017899 Loss_D_real: -0.032676 Loss_D_fake -0.000998
[299/5000][200/535][30557] Loss_D: -0.033079 Loss_G: 0.024757 Loss_D_real: -0.020421 Loss_D_fake 0.012658
[299/5000][205/535][30558] Loss_D: -0.031235 Loss_G: 0.002669 Loss_D_real: -0.014759 Loss_D_fake 0.016476
[299/5000][210/535][30559] Loss_D: -0.031600 Loss_G: 0.017393 Loss_D_real: -0.025871 Loss_D_fake 0.005729
[299/5000][215/535][30560] Loss_D: -0.033399 Loss_G: 0.004819 Loss_D_real: -0.016914 Loss_D_fake 0.016486
[299/5000][220/535][30561] Loss_D: -0.030573 Loss_G: 0.034351 Loss_D_real: -0.037988 Loss_D_fake -0.007416
[299/5000][225/535][30562] Loss_D: -0.029651 Loss_G: -0.017422 Loss_D_real: 0.004106 Loss_D_fake 0.033758
[299/5000][230/535][30563] Loss_D: -0.031641 Loss_G: 0.017366 Loss_D_real: -0.021227 Loss_D_fake 0.010414
[299/5000][235/535][30564] Loss_D: -0.028250 Loss_G: 0.035828 Loss_D_real: -0.031802 Loss_D_fake -0.003553
[299/5000][240/535][30565] Loss_D: -0.031438 Loss_G: 0.011382 Loss_D_real: -0.007724 Loss_D_fake 0.023714
[299/5000][245/535][30566] Loss_D: -0.030968 Loss_G: 0.009956 Loss_D_real: -0.015743 Loss_D_fake 0.015225
[299/5000][250/535][30567] Loss_D: -0.030678 Loss_G: 0.013413 Loss_D_real: -0.018720 Loss_D_fake 0.011958
[299/5000][255/535][30568] Loss_D: -0.031415 Loss_G: -0.001248 Loss_D_real: -0.016089 Loss_D_fake 0.015326
[299/5000][260/535][30569] Loss_D: -0.029818 Loss_G: 0.033635 Loss_D_real: -0.035942 Loss_D_fake -0.006124
[299/5000][265/535][30570] Loss_D: -0.029951 Loss_G: 0.031632 Loss_D_real: -0.033103 Loss_D_fake -0.003153
[299/5000][270/535][30571] Loss_D: -0.029733 Loss_G: 0.040394 Loss_D_real: -0.038318 Loss_D_fake -0.008585
[299/5000][275/535][30572] Loss_D: -0.031343 Loss_G: 0.017137 Loss_D_real: -0.012723 Loss_D_fake 0.018620
[299/5000][280/535][30573] Loss_D: -0.031690 Loss_G: 0.012997 Loss_D_real: -0.018697 Loss_D_fake 0.012993
[299/5000][285/535][30574] Loss_D: -0.032396 Loss_G: 0.025758 Loss_D_real: -0.027762 Loss_D_fake 0.004634
[299/5000][290/535][30575] Loss_D: -0.031826 Loss_G: 0.033436 Loss_D_real: -0.028347 Loss_D_fake 0.003479
[299/5000][295/535][30576] Loss_D: -0.032097 Loss_G: 0.009416 Loss_D_real: -0.016408 Loss_D_fake 0.015689
[299/5000][300/535][30577] Loss_D: -0.029875 Loss_G: 0.032195 Loss_D_real: -0.024609 Loss_D_fake 0.005266
[299/5000][305/535][30578] Loss_D: -0.031797 Loss_G: 0.018108 Loss_D_real: -0.018481 Loss_D_fake 0.013316
[299/5000][310/535][30579] Loss_D: -0.032550 Loss_G: 0.019265 Loss_D_real: -0.024711 Loss_D_fake 0.007839
[299/5000][315/535][30580] Loss_D: -0.033351 Loss_G: 0.017570 Loss_D_real: -0.028290 Loss_D_fake 0.005062
[299/5000][320/535][30581] Loss_D: -0.032906 Loss_G: 0.019728 Loss_D_real: -0.016494 Loss_D_fake 0.016412
[299/5000][325/535][30582] Loss_D: -0.032488 Loss_G: 0.004634 Loss_D_real: -0.009651 Loss_D_fake 0.022837
[299/5000][330/535][30583] Loss_D: -0.033094 Loss_G: -0.011037 Loss_D_real: -0.012878 Loss_D_fake 0.020216
[299/5000][335/535][30584] Loss_D: -0.032493 Loss_G: 0.027150 Loss_D_real: -0.032371 Loss_D_fake 0.000122
[299/5000][340/535][30585] Loss_D: -0.033301 Loss_G: 0.033062 Loss_D_real: -0.026994 Loss_D_fake 0.006307
[299/5000][345/535][30586] Loss_D: -0.032422 Loss_G: 0.009415 Loss_D_real: -0.016762 Loss_D_fake 0.015660
[299/5000][350/535][30587] Loss_D: -0.031923 Loss_G: 0.027461 Loss_D_real: -0.037655 Loss_D_fake -0.005732
[299/5000][355/535][30588] Loss_D: -0.031995 Loss_G: 0.017646 Loss_D_real: -0.020773 Loss_D_fake 0.011221
[299/5000][360/535][30589] Loss_D: -0.031823 Loss_G: 0.028126 Loss_D_real: -0.025826 Loss_D_fake 0.005997
[299/5000][365/535][30590] Loss_D: -0.029643 Loss_G: 0.013157 Loss_D_real: -0.023559 Loss_D_fake 0.006085
[299/5000][370/535][30591] Loss_D: -0.030584 Loss_G: 0.037367 Loss_D_real: -0.027405 Loss_D_fake 0.003179
[299/5000][375/535][30592] Loss_D: -0.031524 Loss_G: -0.001656 Loss_D_real: -0.007080 Loss_D_fake 0.024444
[299/5000][380/535][30593] Loss_D: -0.028540 Loss_G: 0.016703 Loss_D_real: -0.023313 Loss_D_fake 0.005227
[299/5000][385/535][30594] Loss_D: -0.030388 Loss_G: 0.029612 Loss_D_real: -0.027793 Loss_D_fake 0.002595
[299/5000][390/535][30595] Loss_D: -0.030902 Loss_G: 0.012137 Loss_D_real: -0.013927 Loss_D_fake 0.016975
[299/5000][395/535][30596] Loss_D: -0.030864 Loss_G: 0.022860 Loss_D_real: -0.024535 Loss_D_fake 0.006329
[299/5000][400/535][30597] Loss_D: -0.032382 Loss_G: 0.026562 Loss_D_real: -0.024047 Loss_D_fake 0.008335
[299/5000][405/535][30598] Loss_D: -0.031285 Loss_G: 0.030096 Loss_D_real: -0.035066 Loss_D_fake -0.003781
[299/5000][410/535][30599] Loss_D: -0.030940 Loss_G: -0.003036 Loss_D_real: -0.003977 Loss_D_fake 0.026963
[299/5000][415/535][30600] Loss_D: -0.030010 Loss_G: 0.018869 Loss_D_real: -0.023232 Loss_D_fake 0.006778
[299/5000][420/535][30601] Loss_D: -0.032320 Loss_G: 0.013929 Loss_D_real: -0.021626 Loss_D_fake 0.010695
[299/5000][425/535][30602] Loss_D: -0.031481 Loss_G: 0.026062 Loss_D_real: -0.024180 Loss_D_fake 0.007301
[299/5000][430/535][30603] Loss_D: -0.031629 Loss_G: 0.019119 Loss_D_real: -0.020896 Loss_D_fake 0.010733
[299/5000][435/535][30604] Loss_D: -0.030945 Loss_G: 0.026902 Loss_D_real: -0.029623 Loss_D_fake 0.001322
[299/5000][440/535][30605] Loss_D: -0.032537 Loss_G: 0.027566 Loss_D_real: -0.023321 Loss_D_fake 0.009216
[299/5000][445/535][30606] Loss_D: -0.033124 Loss_G: 0.026938 Loss_D_real: -0.020182 Loss_D_fake 0.012942
[299/5000][450/535][30607] Loss_D: -0.031601 Loss_G: -0.008733 Loss_D_real: -0.007983 Loss_D_fake 0.023618
[299/5000][455/535][30608] Loss_D: -0.030958 Loss_G: 0.029610 Loss_D_real: -0.023500 Loss_D_fake 0.007458
[299/5000][460/535][30609] Loss_D: -0.030777 Loss_G: 0.001114 Loss_D_real: -0.004910 Loss_D_fake 0.025868
[299/5000][465/535][30610] Loss_D: -0.030453 Loss_G: 0.028326 Loss_D_real: -0.023808 Loss_D_fake 0.006645
[299/5000][470/535][30611] Loss_D: -0.031406 Loss_G: -0.007483 Loss_D_real: -0.003666 Loss_D_fake 0.027740
[299/5000][475/535][30612] Loss_D: -0.031225 Loss_G: 0.029316 Loss_D_real: -0.024749 Loss_D_fake 0.006476
[299/5000][480/535][30613] Loss_D: -0.031482 Loss_G: -0.007274 Loss_D_real: -0.007139 Loss_D_fake 0.024343
[299/5000][485/535][30614] Loss_D: -0.031086 Loss_G: 0.038714 Loss_D_real: -0.037538 Loss_D_fake -0.006452
[299/5000][490/535][30615] Loss_D: -0.031725 Loss_G: 0.003241 Loss_D_real: -0.004366 Loss_D_fake 0.027360
[299/5000][495/535][30616] Loss_D: -0.029312 Loss_G: 0.022105 Loss_D_real: -0.025667 Loss_D_fake 0.003645
[299/5000][500/535][30617] Loss_D: -0.031852 Loss_G: 0.013193 Loss_D_real: -0.007895 Loss_D_fake 0.023957
[299/5000][505/535][30618] Loss_D: -0.031479 Loss_G: 0.006196 Loss_D_real: -0.008864 Loss_D_fake 0.022615
[299/5000][510/535][30619] Loss_D: -0.031416 Loss_G: 0.004236 Loss_D_real: -0.012630 Loss_D_fake 0.018786
[299/5000][515/535][30620] Loss_D: -0.033641 Loss_G: 0.010563 Loss_D_real: -0.017724 Loss_D_fake 0.015917
[299/5000][520/535][30621] Loss_D: -0.031206 Loss_G: 0.031278 Loss_D_real: -0.032024 Loss_D_fake -0.000818
[299/5000][525/535][30622] Loss_D: -0.031532 Loss_G: -0.007843 Loss_D_real: -0.002567 Loss_D_fake 0.028964
[299/5000][530/535][30623] Loss_D: -0.031564 Loss_G: 0.027520 Loss_D_real: -0.030503 Loss_D_fake 0.001061
[299/5000][535/535][30624] Loss_D: -0.034072 Loss_G: 0.035826 Loss_D_real: -0.023032 Loss_D_fake 0.011040
[300/5000][5/535][30625] Loss_D: -0.030906 Loss_G: 0.002210 Loss_D_real: -0.007320 Loss_D_fake 0.023586
[300/5000][10/535][30626] Loss_D: -0.030167 Loss_G: 0.026355 Loss_D_real: -0.030294 Loss_D_fake -0.000127
[300/5000][15/535][30627] Loss_D: -0.031377 Loss_G: 0.020285 Loss_D_real: -0.023711 Loss_D_fake 0.007665
[300/5000][20/535][30628] Loss_D: -0.031342 Loss_G: 0.036301 Loss_D_real: -0.037395 Loss_D_fake -0.006052
[300/5000][25/535][30629] Loss_D: -0.031521 Loss_G: 0.021550 Loss_D_real: -0.020539 Loss_D_fake 0.010982
[300/5000][30/535][30630] Loss_D: -0.031376 Loss_G: 0.040692 Loss_D_real: -0.037971 Loss_D_fake -0.006595
[300/5000][35/535][30631] Loss_D: -0.032008 Loss_G: 0.016437 Loss_D_real: -0.029216 Loss_D_fake 0.002793
[300/5000][40/535][30632] Loss_D: -0.032178 Loss_G: 0.003624 Loss_D_real: -0.005968 Loss_D_fake 0.026210
[300/5000][45/535][30633] Loss_D: -0.033166 Loss_G: 0.008621 Loss_D_real: -0.020656 Loss_D_fake 0.012509
[300/5000][50/535][30634] Loss_D: -0.031839 Loss_G: 0.027046 Loss_D_real: -0.031874 Loss_D_fake -0.000036
[300/5000][55/535][30635] Loss_D: -0.031582 Loss_G: 0.029665 Loss_D_real: -0.035904 Loss_D_fake -0.004322
[300/5000][60/535][30636] Loss_D: -0.033171 Loss_G: 0.014667 Loss_D_real: -0.015354 Loss_D_fake 0.017816
[300/5000][65/535][30637] Loss_D: -0.031885 Loss_G: -0.000839 Loss_D_real: -0.006613 Loss_D_fake 0.025272
[300/5000][70/535][30638] Loss_D: -0.031591 Loss_G: 0.022099 Loss_D_real: -0.027297 Loss_D_fake 0.004294
[300/5000][75/535][30639] Loss_D: -0.031721 Loss_G: 0.025502 Loss_D_real: -0.029399 Loss_D_fake 0.002322
[300/5000][80/535][30640] Loss_D: -0.031691 Loss_G: -0.001942 Loss_D_real: -0.009199 Loss_D_fake 0.022493
[300/5000][85/535][30641] Loss_D: -0.030818 Loss_G: 0.029318 Loss_D_real: -0.029797 Loss_D_fake 0.001021
[300/5000][90/535][30642] Loss_D: -0.032766 Loss_G: 0.021857 Loss_D_real: -0.025046 Loss_D_fake 0.007720
[300/5000][95/535][30643] Loss_D: -0.031001 Loss_G: 0.032351 Loss_D_real: -0.030755 Loss_D_fake 0.000246
[300/5000][100/535][30644] Loss_D: -0.031975 Loss_G: 0.016266 Loss_D_real: -0.023683 Loss_D_fake 0.008292
[300/5000][105/535][30645] Loss_D: -0.031817 Loss_G: -0.000229 Loss_D_real: -0.015653 Loss_D_fake 0.016164
[300/5000][110/535][30646] Loss_D: -0.030930 Loss_G: 0.021032 Loss_D_real: -0.024048 Loss_D_fake 0.006882
[300/5000][115/535][30647] Loss_D: -0.031661 Loss_G: 0.019914 Loss_D_real: -0.028643 Loss_D_fake 0.003019
[300/5000][120/535][30648] Loss_D: -0.033295 Loss_G: 0.031914 Loss_D_real: -0.032835 Loss_D_fake 0.000461
[300/5000][125/535][30649] Loss_D: -0.033436 Loss_G: 0.004354 Loss_D_real: -0.012357 Loss_D_fake 0.021079
[300/5000][130/535][30650] Loss_D: -0.032810 Loss_G: -0.006026 Loss_D_real: -0.015502 Loss_D_fake 0.017309
[300/5000][135/535][30651] Loss_D: -0.031065 Loss_G: 0.030336 Loss_D_real: -0.031716 Loss_D_fake -0.000651
[300/5000][140/535][30652] Loss_D: -0.033029 Loss_G: 0.025027 Loss_D_real: -0.022964 Loss_D_fake 0.010065
[300/5000][145/535][30653] Loss_D: -0.032084 Loss_G: 0.031939 Loss_D_real: -0.028950 Loss_D_fake 0.003134
[300/5000][150/535][30654] Loss_D: -0.032375 Loss_G: -0.003491 Loss_D_real: -0.007822 Loss_D_fake 0.024552
[300/5000][155/535][30655] Loss_D: -0.032182 Loss_G: 0.035962 Loss_D_real: -0.033908 Loss_D_fake -0.001726
[300/5000][160/535][30656] Loss_D: -0.032270 Loss_G: 0.009852 Loss_D_real: -0.020343 Loss_D_fake 0.011927
[300/5000][165/535][30657] Loss_D: -0.030479 Loss_G: -0.003397 Loss_D_real: -0.008092 Loss_D_fake 0.022387
[300/5000][170/535][30658] Loss_D: -0.030729 Loss_G: 0.030890 Loss_D_real: -0.034193 Loss_D_fake -0.003465
[300/5000][175/535][30659] Loss_D: -0.032407 Loss_G: 0.036160 Loss_D_real: -0.036246 Loss_D_fake -0.003840
[300/5000][180/535][30660] Loss_D: -0.030684 Loss_G: -0.007008 Loss_D_real: -0.005002 Loss_D_fake 0.025682
[300/5000][185/535][30661] Loss_D: -0.032231 Loss_G: 0.021502 Loss_D_real: -0.019465 Loss_D_fake 0.012766
[300/5000][190/535][30662] Loss_D: -0.032323 Loss_G: 0.037938 Loss_D_real: -0.032813 Loss_D_fake -0.000489
[300/5000][195/535][30663] Loss_D: -0.032541 Loss_G: 0.012832 Loss_D_real: -0.021154 Loss_D_fake 0.011387
[300/5000][200/535][30664] Loss_D: -0.029817 Loss_G: 0.030522 Loss_D_real: -0.032995 Loss_D_fake -0.003177
[300/5000][205/535][30665] Loss_D: -0.031438 Loss_G: -0.004732 Loss_D_real: -0.013703 Loss_D_fake 0.017735
[300/5000][210/535][30666] Loss_D: -0.030443 Loss_G: 0.027944 Loss_D_real: -0.031565 Loss_D_fake -0.001122
[300/5000][215/535][30667] Loss_D: -0.030792 Loss_G: 0.010639 Loss_D_real: -0.014473 Loss_D_fake 0.016319
[300/5000][220/535][30668] Loss_D: -0.030575 Loss_G: -0.011223 Loss_D_real: 0.004005 Loss_D_fake 0.034581
[300/5000][225/535][30669] Loss_D: -0.031425 Loss_G: 0.042294 Loss_D_real: -0.034173 Loss_D_fake -0.002748
[300/5000][230/535][30670] Loss_D: -0.032078 Loss_G: 0.004649 Loss_D_real: -0.014776 Loss_D_fake 0.017302
[300/5000][235/535][30671] Loss_D: -0.031163 Loss_G: 0.022471 Loss_D_real: -0.026404 Loss_D_fake 0.004758
[300/5000][240/535][30672] Loss_D: -0.031904 Loss_G: 0.025779 Loss_D_real: -0.028188 Loss_D_fake 0.003716
[300/5000][245/535][30673] Loss_D: -0.030669 Loss_G: -0.015180 Loss_D_real: -0.005445 Loss_D_fake 0.025223
[300/5000][250/535][30674] Loss_D: -0.031691 Loss_G: 0.020397 Loss_D_real: -0.023500 Loss_D_fake 0.008191
[300/5000][255/535][30675] Loss_D: -0.030944 Loss_G: -0.003984 Loss_D_real: -0.005957 Loss_D_fake 0.024987
[300/5000][260/535][30676] Loss_D: -0.030864 Loss_G: 0.029371 Loss_D_real: -0.028034 Loss_D_fake 0.002829
[300/5000][265/535][30677] Loss_D: -0.031286 Loss_G: 0.001130 Loss_D_real: -0.003396 Loss_D_fake 0.027890
[300/5000][270/535][30678] Loss_D: -0.031087 Loss_G: 0.024236 Loss_D_real: -0.023620 Loss_D_fake 0.007467
[300/5000][275/535][30679] Loss_D: -0.032829 Loss_G: 0.004659 Loss_D_real: -0.007138 Loss_D_fake 0.025690
[300/5000][280/535][30680] Loss_D: -0.032718 Loss_G: 0.017144 Loss_D_real: -0.032225 Loss_D_fake 0.000493
[300/5000][285/535][30681] Loss_D: -0.031587 Loss_G: 0.040656 Loss_D_real: -0.031169 Loss_D_fake 0.000418
[300/5000][290/535][30682] Loss_D: -0.031285 Loss_G: 0.017172 Loss_D_real: -0.021394 Loss_D_fake 0.009891
[300/5000][295/535][30683] Loss_D: -0.032780 Loss_G: 0.029331 Loss_D_real: -0.027942 Loss_D_fake 0.004838
[300/5000][300/535][30684] Loss_D: -0.031639 Loss_G: 0.014207 Loss_D_real: -0.024452 Loss_D_fake 0.007187
[300/5000][305/535][30685] Loss_D: -0.032473 Loss_G: 0.034278 Loss_D_real: -0.040954 Loss_D_fake -0.008480
[300/5000][310/535][30686] Loss_D: -0.032720 Loss_G: 0.026927 Loss_D_real: -0.021694 Loss_D_fake 0.011026
[300/5000][315/535][30687] Loss_D: -0.030774 Loss_G: 0.031379 Loss_D_real: -0.037007 Loss_D_fake -0.006233
[300/5000][320/535][30688] Loss_D: -0.033330 Loss_G: 0.012806 Loss_D_real: -0.011838 Loss_D_fake 0.021492
[300/5000][325/535][30689] Loss_D: -0.031498 Loss_G: 0.008848 Loss_D_real: -0.017467 Loss_D_fake 0.014031
[300/5000][330/535][30690] Loss_D: -0.032261 Loss_G: 0.016877 Loss_D_real: -0.029931 Loss_D_fake 0.002330
[300/5000][335/535][30691] Loss_D: -0.032718 Loss_G: 0.009359 Loss_D_real: -0.017172 Loss_D_fake 0.015546
[300/5000][340/535][30692] Loss_D: -0.031468 Loss_G: -0.009062 Loss_D_real: -0.012919 Loss_D_fake 0.018549
[300/5000][345/535][30693] Loss_D: -0.031634 Loss_G: 0.030266 Loss_D_real: -0.031818 Loss_D_fake -0.000184
[300/5000][350/535][30694] Loss_D: -0.031881 Loss_G: 0.006307 Loss_D_real: -0.008964 Loss_D_fake 0.022916
[300/5000][355/535][30695] Loss_D: -0.031465 Loss_G: 0.011179 Loss_D_real: -0.011279 Loss_D_fake 0.020186
[300/5000][360/535][30696] Loss_D: -0.032167 Loss_G: 0.035429 Loss_D_real: -0.029077 Loss_D_fake 0.003090
[300/5000][365/535][30697] Loss_D: -0.031176 Loss_G: 0.009814 Loss_D_real: -0.017986 Loss_D_fake 0.013190
[300/5000][370/535][30698] Loss_D: -0.031394 Loss_G: 0.016930 Loss_D_real: -0.024171 Loss_D_fake 0.007223
[300/5000][375/535][30699] Loss_D: -0.032222 Loss_G: 0.030876 Loss_D_real: -0.036615 Loss_D_fake -0.004393
[300/5000][380/535][30700] Loss_D: -0.032373 Loss_G: 0.013657 Loss_D_real: -0.021128 Loss_D_fake 0.011246
[300/5000][385/535][30701] Loss_D: -0.032096 Loss_G: 0.031970 Loss_D_real: -0.025489 Loss_D_fake 0.006608
[300/5000][390/535][30702] Loss_D: -0.031336 Loss_G: -0.000464 Loss_D_real: -0.006704 Loss_D_fake 0.024632
[300/5000][395/535][30703] Loss_D: -0.030464 Loss_G: 0.003316 Loss_D_real: -0.011987 Loss_D_fake 0.018477
[300/5000][400/535][30704] Loss_D: -0.030954 Loss_G: 0.031902 Loss_D_real: -0.033489 Loss_D_fake -0.002535
[300/5000][405/535][30705] Loss_D: -0.031859 Loss_G: 0.004324 Loss_D_real: -0.011741 Loss_D_fake 0.020118
[300/5000][410/535][30706] Loss_D: -0.031049 Loss_G: 0.022565 Loss_D_real: -0.015116 Loss_D_fake 0.015934
[300/5000][415/535][30707] Loss_D: -0.031960 Loss_G: 0.025514 Loss_D_real: -0.030430 Loss_D_fake 0.001530
[300/5000][420/535][30708] Loss_D: -0.031712 Loss_G: 0.029683 Loss_D_real: -0.033806 Loss_D_fake -0.002094
[300/5000][425/535][30709] Loss_D: -0.031595 Loss_G: -0.002882 Loss_D_real: -0.006333 Loss_D_fake 0.025262
[300/5000][430/535][30710] Loss_D: -0.030952 Loss_G: 0.029116 Loss_D_real: -0.029040 Loss_D_fake 0.001913
[300/5000][435/535][30711] Loss_D: -0.031634 Loss_G: -0.005331 Loss_D_real: -0.007142 Loss_D_fake 0.024492
[300/5000][440/535][30712] Loss_D: -0.030776 Loss_G: 0.035733 Loss_D_real: -0.036940 Loss_D_fake -0.006164
[300/5000][445/535][30713] Loss_D: -0.031690 Loss_G: 0.003569 Loss_D_real: -0.009682 Loss_D_fake 0.022008
[300/5000][450/535][30714] Loss_D: -0.030674 Loss_G: 0.027950 Loss_D_real: -0.023984 Loss_D_fake 0.006690
[300/5000][455/535][30715] Loss_D: -0.032770 Loss_G: 0.015528 Loss_D_real: -0.017219 Loss_D_fake 0.015551
[300/5000][460/535][30716] Loss_D: -0.030847 Loss_G: 0.038483 Loss_D_real: -0.034166 Loss_D_fake -0.003319
[300/5000][465/535][30717] Loss_D: -0.030125 Loss_G: -0.004291 Loss_D_real: -0.003068 Loss_D_fake 0.027057
[300/5000][470/535][30718] Loss_D: -0.029608 Loss_G: 0.003604 Loss_D_real: -0.015103 Loss_D_fake 0.014504
[300/5000][475/535][30719] Loss_D: -0.031654 Loss_G: 0.011363 Loss_D_real: -0.018370 Loss_D_fake 0.013284
[300/5000][480/535][30720] Loss_D: -0.031417 Loss_G: 0.029651 Loss_D_real: -0.027965 Loss_D_fake 0.003452
[300/5000][485/535][30721] Loss_D: -0.031610 Loss_G: 0.019572 Loss_D_real: -0.022067 Loss_D_fake 0.009543
[300/5000][490/535][30722] Loss_D: -0.032637 Loss_G: 0.028556 Loss_D_real: -0.030926 Loss_D_fake 0.001711
[300/5000][495/535][30723] Loss_D: -0.032627 Loss_G: 0.019443 Loss_D_real: -0.016217 Loss_D_fake 0.016409
[300/5000][500/535][30724] Loss_D: -0.032982 Loss_G: 0.034092 Loss_D_real: -0.043433 Loss_D_fake -0.010451
[300/5000][505/535][30725] Loss_D: -0.031558 Loss_G: -0.003585 Loss_D_real: -0.001579 Loss_D_fake 0.029979
[300/5000][510/535][30726] Loss_D: -0.032150 Loss_G: 0.016641 Loss_D_real: -0.016570 Loss_D_fake 0.015580
[300/5000][515/535][30727] Loss_D: -0.031569 Loss_G: 0.018561 Loss_D_real: -0.021183 Loss_D_fake 0.010386
[300/5000][520/535][30728] Loss_D: -0.030960 Loss_G: 0.034463 Loss_D_real: -0.026028 Loss_D_fake 0.004933
[300/5000][525/535][30729] Loss_D: -0.031099 Loss_G: 0.016000 Loss_D_real: -0.008714 Loss_D_fake 0.022385
[300/5000][530/535][30730] Loss_D: -0.031386 Loss_G: 0.014344 Loss_D_real: -0.016369 Loss_D_fake 0.015017
[300/5000][535/535][30731] Loss_D: -0.032445 Loss_G: 0.042237 Loss_D_real: -0.019903 Loss_D_fake 0.012542
[301/5000][5/535][30732] Loss_D: -0.030139 Loss_G: 0.033432 Loss_D_real: -0.028571 Loss_D_fake 0.001568
[301/5000][10/535][30733] Loss_D: -0.031960 Loss_G: -0.009662 Loss_D_real: -0.010090 Loss_D_fake 0.021870
[301/5000][15/535][30734] Loss_D: -0.030797 Loss_G: 0.027633 Loss_D_real: -0.032776 Loss_D_fake -0.001979
[301/5000][20/535][30735] Loss_D: -0.032506 Loss_G: 0.002899 Loss_D_real: -0.020052 Loss_D_fake 0.012454
[301/5000][25/535][30736] Loss_D: -0.032064 Loss_G: 0.001846 Loss_D_real: -0.017678 Loss_D_fake 0.014386
[301/5000][30/535][30737] Loss_D: -0.030848 Loss_G: 0.025273 Loss_D_real: -0.018464 Loss_D_fake 0.012384
[301/5000][35/535][30738] Loss_D: -0.032060 Loss_G: 0.019559 Loss_D_real: -0.021829 Loss_D_fake 0.010231
[301/5000][40/535][30739] Loss_D: -0.029712 Loss_G: 0.025931 Loss_D_real: -0.027609 Loss_D_fake 0.002103
[301/5000][45/535][30740] Loss_D: -0.030385 Loss_G: -0.007905 Loss_D_real: -0.007603 Loss_D_fake 0.022782
[301/5000][50/535][30741] Loss_D: -0.030717 Loss_G: 0.022922 Loss_D_real: -0.024995 Loss_D_fake 0.005722
[301/5000][55/535][30742] Loss_D: -0.031767 Loss_G: -0.010701 Loss_D_real: -0.007115 Loss_D_fake 0.024651
[301/5000][60/535][30743] Loss_D: -0.031739 Loss_G: 0.024077 Loss_D_real: -0.025414 Loss_D_fake 0.006325
[301/5000][65/535][30744] Loss_D: -0.031792 Loss_G: 0.009683 Loss_D_real: -0.019737 Loss_D_fake 0.012055
[301/5000][70/535][30745] Loss_D: -0.032030 Loss_G: 0.006189 Loss_D_real: -0.008461 Loss_D_fake 0.023568
[301/5000][75/535][30746] Loss_D: -0.031192 Loss_G: 0.009075 Loss_D_real: -0.013315 Loss_D_fake 0.017878
[301/5000][80/535][30747] Loss_D: -0.030685 Loss_G: 0.030996 Loss_D_real: -0.025533 Loss_D_fake 0.005152
[301/5000][85/535][30748] Loss_D: -0.031181 Loss_G: -0.005699 Loss_D_real: -0.000354 Loss_D_fake 0.030826
[301/5000][90/535][30749] Loss_D: -0.029788 Loss_G: 0.034226 Loss_D_real: -0.028569 Loss_D_fake 0.001218
[301/5000][95/535][30750] Loss_D: -0.030832 Loss_G: 0.048391 Loss_D_real: -0.041774 Loss_D_fake -0.010942
[301/5000][100/535][30751] Loss_D: -0.031055 Loss_G: -0.006985 Loss_D_real: -0.000501 Loss_D_fake 0.030555
[301/5000][105/535][30752] Loss_D: -0.031138 Loss_G: 0.037799 Loss_D_real: -0.032061 Loss_D_fake -0.000922
[301/5000][110/535][30753] Loss_D: -0.031612 Loss_G: -0.007738 Loss_D_real: -0.001922 Loss_D_fake 0.029690
[301/5000][115/535][30754] Loss_D: -0.032052 Loss_G: 0.009016 Loss_D_real: -0.015356 Loss_D_fake 0.016696
[301/5000][120/535][30755] Loss_D: -0.033069 Loss_G: 0.027078 Loss_D_real: -0.025466 Loss_D_fake 0.007603
[301/5000][125/535][30756] Loss_D: -0.031542 Loss_G: 0.035333 Loss_D_real: -0.033091 Loss_D_fake -0.001548
[301/5000][130/535][30757] Loss_D: -0.030703 Loss_G: 0.012430 Loss_D_real: -0.008044 Loss_D_fake 0.022660
[301/5000][135/535][30758] Loss_D: -0.032445 Loss_G: 0.014147 Loss_D_real: -0.019717 Loss_D_fake 0.012728
[301/5000][140/535][30759] Loss_D: -0.031214 Loss_G: 0.024561 Loss_D_real: -0.037653 Loss_D_fake -0.006439
[301/5000][145/535][30760] Loss_D: -0.033166 Loss_G: 0.027924 Loss_D_real: -0.026128 Loss_D_fake 0.007038
[301/5000][150/535][30761] Loss_D: -0.031256 Loss_G: 0.036063 Loss_D_real: -0.030126 Loss_D_fake 0.001130
[301/5000][155/535][30762] Loss_D: -0.032795 Loss_G: 0.004388 Loss_D_real: -0.013290 Loss_D_fake 0.019505
[301/5000][160/535][30763] Loss_D: -0.031411 Loss_G: 0.023518 Loss_D_real: -0.027557 Loss_D_fake 0.003854
[301/5000][165/535][30764] Loss_D: -0.031815 Loss_G: 0.016404 Loss_D_real: -0.022370 Loss_D_fake 0.009445
[301/5000][170/535][30765] Loss_D: -0.031000 Loss_G: 0.023905 Loss_D_real: -0.026240 Loss_D_fake 0.004760
[301/5000][175/535][30766] Loss_D: -0.031425 Loss_G: -0.012562 Loss_D_real: -0.006624 Loss_D_fake 0.024801
[301/5000][180/535][30767] Loss_D: -0.029989 Loss_G: 0.001686 Loss_D_real: -0.008796 Loss_D_fake 0.021194
[301/5000][185/535][30768] Loss_D: -0.031123 Loss_G: 0.020606 Loss_D_real: -0.027735 Loss_D_fake 0.003388
[301/5000][190/535][30769] Loss_D: -0.031786 Loss_G: 0.032105 Loss_D_real: -0.027392 Loss_D_fake 0.004394
[301/5000][195/535][30770] Loss_D: -0.033974 Loss_G: 0.015474 Loss_D_real: -0.017264 Loss_D_fake 0.016711
[301/5000][200/535][30771] Loss_D: -0.031687 Loss_G: 0.005514 Loss_D_real: -0.019818 Loss_D_fake 0.011868
[301/5000][205/535][30772] Loss_D: -0.029258 Loss_G: 0.044245 Loss_D_real: -0.043712 Loss_D_fake -0.014454
[301/5000][210/535][30773] Loss_D: -0.033546 Loss_G: 0.007093 Loss_D_real: -0.010352 Loss_D_fake 0.023195
[301/5000][215/535][30774] Loss_D: -0.033195 Loss_G: 0.024952 Loss_D_real: -0.037242 Loss_D_fake -0.004047
[301/5000][220/535][30775] Loss_D: -0.031356 Loss_G: 0.027794 Loss_D_real: -0.029877 Loss_D_fake 0.001479
[301/5000][225/535][30776] Loss_D: -0.032993 Loss_G: 0.012164 Loss_D_real: -0.020061 Loss_D_fake 0.012933
[301/5000][230/535][30777] Loss_D: -0.033118 Loss_G: 0.019886 Loss_D_real: -0.020266 Loss_D_fake 0.012852
[301/5000][235/535][30778] Loss_D: -0.032621 Loss_G: 0.024611 Loss_D_real: -0.031261 Loss_D_fake 0.001360
[301/5000][240/535][30779] Loss_D: -0.032164 Loss_G: 0.006201 Loss_D_real: -0.015642 Loss_D_fake 0.016522
[301/5000][245/535][30780] Loss_D: -0.031054 Loss_G: 0.023959 Loss_D_real: -0.027291 Loss_D_fake 0.003763
[301/5000][250/535][30781] Loss_D: -0.032405 Loss_G: 0.023180 Loss_D_real: -0.022565 Loss_D_fake 0.009840
[301/5000][255/535][30782] Loss_D: -0.031578 Loss_G: 0.021173 Loss_D_real: -0.024118 Loss_D_fake 0.007460
[301/5000][260/535][30783] Loss_D: -0.031438 Loss_G: 0.002250 Loss_D_real: -0.018470 Loss_D_fake 0.012968
[301/5000][265/535][30784] Loss_D: -0.031004 Loss_G: -0.003202 Loss_D_real: -0.015147 Loss_D_fake 0.015857
[301/5000][270/535][30785] Loss_D: -0.031188 Loss_G: 0.034240 Loss_D_real: -0.035398 Loss_D_fake -0.004211
[301/5000][275/535][30786] Loss_D: -0.030153 Loss_G: 0.027349 Loss_D_real: -0.038982 Loss_D_fake -0.008830
[301/5000][280/535][30787] Loss_D: -0.032442 Loss_G: 0.018302 Loss_D_real: -0.023926 Loss_D_fake 0.008516
[301/5000][285/535][30788] Loss_D: -0.032807 Loss_G: 0.011791 Loss_D_real: -0.016105 Loss_D_fake 0.016702
[301/5000][290/535][30789] Loss_D: -0.031447 Loss_G: 0.025820 Loss_D_real: -0.034347 Loss_D_fake -0.002900
[301/5000][295/535][30790] Loss_D: -0.031495 Loss_G: 0.012617 Loss_D_real: -0.011452 Loss_D_fake 0.020043
[301/5000][300/535][30791] Loss_D: -0.031328 Loss_G: 0.039677 Loss_D_real: -0.033978 Loss_D_fake -0.002650
[301/5000][305/535][30792] Loss_D: -0.031324 Loss_G: 0.020025 Loss_D_real: -0.019666 Loss_D_fake 0.011657
[301/5000][310/535][30793] Loss_D: -0.031994 Loss_G: 0.006634 Loss_D_real: -0.008775 Loss_D_fake 0.023220
[301/5000][315/535][30794] Loss_D: -0.027823 Loss_G: 0.034522 Loss_D_real: -0.045473 Loss_D_fake -0.017651
[301/5000][320/535][30795] Loss_D: -0.032297 Loss_G: -0.000029 Loss_D_real: -0.004487 Loss_D_fake 0.027811
[301/5000][325/535][30796] Loss_D: -0.031349 Loss_G: 0.005154 Loss_D_real: -0.012441 Loss_D_fake 0.018907
[301/5000][330/535][30797] Loss_D: -0.030732 Loss_G: 0.016071 Loss_D_real: -0.018689 Loss_D_fake 0.012043
[301/5000][335/535][30798] Loss_D: -0.030971 Loss_G: 0.008719 Loss_D_real: -0.010505 Loss_D_fake 0.020466
[301/5000][340/535][30799] Loss_D: -0.031622 Loss_G: 0.022514 Loss_D_real: -0.020199 Loss_D_fake 0.011423
[301/5000][345/535][30800] Loss_D: -0.030391 Loss_G: 0.035637 Loss_D_real: -0.027543 Loss_D_fake 0.002848
[301/5000][350/535][30801] Loss_D: -0.032108 Loss_G: 0.023564 Loss_D_real: -0.024828 Loss_D_fake 0.007280
[301/5000][355/535][30802] Loss_D: -0.030646 Loss_G: 0.019179 Loss_D_real: -0.018410 Loss_D_fake 0.012236
[301/5000][360/535][30803] Loss_D: -0.032821 Loss_G: 0.016184 Loss_D_real: -0.021308 Loss_D_fake 0.011513
[301/5000][365/535][30804] Loss_D: -0.031298 Loss_G: 0.020479 Loss_D_real: -0.026088 Loss_D_fake 0.005210
[301/5000][370/535][30805] Loss_D: -0.031524 Loss_G: 0.025802 Loss_D_real: -0.031201 Loss_D_fake 0.000323
[301/5000][375/535][30806] Loss_D: -0.033968 Loss_G: 0.013027 Loss_D_real: -0.019872 Loss_D_fake 0.014096
[301/5000][380/535][30807] Loss_D: -0.033497 Loss_G: 0.008101 Loss_D_real: -0.019897 Loss_D_fake 0.013600
[301/5000][385/535][30808] Loss_D: -0.030871 Loss_G: 0.011757 Loss_D_real: -0.025167 Loss_D_fake 0.005704
[301/5000][390/535][30809] Loss_D: -0.031005 Loss_G: 0.014860 Loss_D_real: -0.018791 Loss_D_fake 0.012214
[301/5000][395/535][30810] Loss_D: -0.031587 Loss_G: 0.004324 Loss_D_real: -0.015790 Loss_D_fake 0.015798
[301/5000][400/535][30811] Loss_D: -0.031197 Loss_G: 0.025076 Loss_D_real: -0.034359 Loss_D_fake -0.003162
[301/5000][405/535][30812] Loss_D: -0.030939 Loss_G: 0.032714 Loss_D_real: -0.031828 Loss_D_fake -0.000889
[301/5000][410/535][30813] Loss_D: -0.032324 Loss_G: 0.029426 Loss_D_real: -0.028922 Loss_D_fake 0.003402
[301/5000][415/535][30814] Loss_D: -0.033643 Loss_G: 0.009240 Loss_D_real: -0.016769 Loss_D_fake 0.016874
[301/5000][420/535][30815] Loss_D: -0.031395 Loss_G: 0.018782 Loss_D_real: -0.023863 Loss_D_fake 0.007533
[301/5000][425/535][30816] Loss_D: -0.031388 Loss_G: 0.030273 Loss_D_real: -0.034940 Loss_D_fake -0.003551
[301/5000][430/535][30817] Loss_D: -0.032797 Loss_G: 0.009143 Loss_D_real: -0.018666 Loss_D_fake 0.014131
[301/5000][435/535][30818] Loss_D: -0.032356 Loss_G: 0.040247 Loss_D_real: -0.029317 Loss_D_fake 0.003038
[301/5000][440/535][30819] Loss_D: -0.031853 Loss_G: 0.016006 Loss_D_real: -0.025548 Loss_D_fake 0.006305
[301/5000][445/535][30820] Loss_D: -0.030306 Loss_G: -0.002496 Loss_D_real: -0.002262 Loss_D_fake 0.028043
[301/5000][450/535][30821] Loss_D: -0.030059 Loss_G: 0.043437 Loss_D_real: -0.038391 Loss_D_fake -0.008332
[301/5000][455/535][30822] Loss_D: -0.029856 Loss_G: 0.024789 Loss_D_real: -0.025458 Loss_D_fake 0.004398
[301/5000][460/535][30823] Loss_D: -0.031610 Loss_G: -0.004999 Loss_D_real: -0.006808 Loss_D_fake 0.024802
[301/5000][465/535][30824] Loss_D: -0.029559 Loss_G: 0.039754 Loss_D_real: -0.035415 Loss_D_fake -0.005856
[301/5000][470/535][30825] Loss_D: -0.030872 Loss_G: 0.006248 Loss_D_real: -0.017029 Loss_D_fake 0.013843
[301/5000][475/535][30826] Loss_D: -0.032396 Loss_G: -0.007794 Loss_D_real: -0.004044 Loss_D_fake 0.028352
[301/5000][480/535][30827] Loss_D: -0.027940 Loss_G: 0.034064 Loss_D_real: -0.040140 Loss_D_fake -0.012200
[301/5000][485/535][30828] Loss_D: -0.031760 Loss_G: 0.024449 Loss_D_real: -0.024289 Loss_D_fake 0.007471
[301/5000][490/535][30829] Loss_D: -0.031437 Loss_G: 0.025284 Loss_D_real: -0.029516 Loss_D_fake 0.001921
[301/5000][495/535][30830] Loss_D: -0.032540 Loss_G: 0.013731 Loss_D_real: -0.012326 Loss_D_fake 0.020214
[301/5000][500/535][30831] Loss_D: -0.032260 Loss_G: 0.013611 Loss_D_real: -0.016263 Loss_D_fake 0.015998
[301/5000][505/535][30832] Loss_D: -0.030619 Loss_G: -0.005478 Loss_D_real: 0.000544 Loss_D_fake 0.031164
[301/5000][510/535][30833] Loss_D: -0.030652 Loss_G: 0.035917 Loss_D_real: -0.028923 Loss_D_fake 0.001729
[301/5000][515/535][30834] Loss_D: -0.033458 Loss_G: 0.008945 Loss_D_real: -0.016637 Loss_D_fake 0.016821
[301/5000][520/535][30835] Loss_D: -0.031503 Loss_G: 0.031940 Loss_D_real: -0.036323 Loss_D_fake -0.004820
[301/5000][525/535][30836] Loss_D: -0.031221 Loss_G: -0.005393 Loss_D_real: -0.006377 Loss_D_fake 0.024844
[301/5000][530/535][30837] Loss_D: -0.031851 Loss_G: 0.034619 Loss_D_real: -0.030119 Loss_D_fake 0.001732
[301/5000][535/535][30838] Loss_D: -0.029309 Loss_G: -0.004702 Loss_D_real: -0.019110 Loss_D_fake 0.010199
[302/5000][5/535][30839] Loss_D: -0.031243 Loss_G: 0.015682 Loss_D_real: -0.020440 Loss_D_fake 0.010803
[302/5000][10/535][30840] Loss_D: -0.030960 Loss_G: 0.014922 Loss_D_real: -0.023209 Loss_D_fake 0.007752
[302/5000][15/535][30841] Loss_D: -0.033677 Loss_G: 0.010947 Loss_D_real: -0.016318 Loss_D_fake 0.017359
[302/5000][20/535][30842] Loss_D: -0.031970 Loss_G: 0.021788 Loss_D_real: -0.020301 Loss_D_fake 0.011669
[302/5000][25/535][30843] Loss_D: -0.031412 Loss_G: -0.010279 Loss_D_real: -0.007564 Loss_D_fake 0.023848
[302/5000][30/535][30844] Loss_D: -0.031221 Loss_G: 0.033062 Loss_D_real: -0.032346 Loss_D_fake -0.001125
[302/5000][35/535][30845] Loss_D: -0.031076 Loss_G: -0.011521 Loss_D_real: -0.004604 Loss_D_fake 0.026472
[302/5000][40/535][30846] Loss_D: -0.031135 Loss_G: 0.029546 Loss_D_real: -0.023845 Loss_D_fake 0.007290
[302/5000][45/535][30847] Loss_D: -0.030891 Loss_G: -0.006630 Loss_D_real: 0.002334 Loss_D_fake 0.033225
[302/5000][50/535][30848] Loss_D: -0.030894 Loss_G: 0.034712 Loss_D_real: -0.040316 Loss_D_fake -0.009422
[302/5000][55/535][30849] Loss_D: -0.031610 Loss_G: 0.036247 Loss_D_real: -0.029403 Loss_D_fake 0.002207
[302/5000][60/535][30850] Loss_D: -0.032978 Loss_G: 0.015960 Loss_D_real: -0.024299 Loss_D_fake 0.008678
[302/5000][65/535][30851] Loss_D: -0.032501 Loss_G: 0.026565 Loss_D_real: -0.021750 Loss_D_fake 0.010751
[302/5000][70/535][30852] Loss_D: -0.031219 Loss_G: 0.007089 Loss_D_real: -0.014139 Loss_D_fake 0.017081
[302/5000][75/535][30853] Loss_D: -0.031864 Loss_G: 0.012246 Loss_D_real: -0.024230 Loss_D_fake 0.007634
[302/5000][80/535][30854] Loss_D: -0.032646 Loss_G: 0.022734 Loss_D_real: -0.027676 Loss_D_fake 0.004970
[302/5000][85/535][30855] Loss_D: -0.031592 Loss_G: 0.013566 Loss_D_real: -0.012815 Loss_D_fake 0.018777
[302/5000][90/535][30856] Loss_D: -0.031812 Loss_G: 0.004420 Loss_D_real: -0.012184 Loss_D_fake 0.019629
[302/5000][95/535][30857] Loss_D: -0.032137 Loss_G: 0.041033 Loss_D_real: -0.032428 Loss_D_fake -0.000291
[302/5000][100/535][30858] Loss_D: -0.031407 Loss_G: 0.002418 Loss_D_real: -0.004975 Loss_D_fake 0.026431
[302/5000][105/535][30859] Loss_D: -0.030122 Loss_G: 0.023503 Loss_D_real: -0.035735 Loss_D_fake -0.005613
[302/5000][110/535][30860] Loss_D: -0.032295 Loss_G: 0.015050 Loss_D_real: -0.018442 Loss_D_fake 0.013853
[302/5000][115/535][30861] Loss_D: -0.031143 Loss_G: 0.034512 Loss_D_real: -0.031447 Loss_D_fake -0.000304
[302/5000][120/535][30862] Loss_D: -0.031322 Loss_G: 0.009638 Loss_D_real: -0.016068 Loss_D_fake 0.015254
[302/5000][125/535][30863] Loss_D: -0.031459 Loss_G: 0.025612 Loss_D_real: -0.026647 Loss_D_fake 0.004812
[302/5000][130/535][30864] Loss_D: -0.032201 Loss_G: 0.013846 Loss_D_real: -0.012711 Loss_D_fake 0.019491
[302/5000][135/535][30865] Loss_D: -0.031073 Loss_G: 0.010023 Loss_D_real: -0.017357 Loss_D_fake 0.013716
[302/5000][140/535][30866] Loss_D: -0.033401 Loss_G: 0.018084 Loss_D_real: -0.021012 Loss_D_fake 0.012389
[302/5000][145/535][30867] Loss_D: -0.033028 Loss_G: 0.007892 Loss_D_real: -0.020268 Loss_D_fake 0.012759
[302/5000][150/535][30868] Loss_D: -0.029873 Loss_G: 0.036779 Loss_D_real: -0.028912 Loss_D_fake 0.000962
[302/5000][155/535][30869] Loss_D: -0.031386 Loss_G: -0.002520 Loss_D_real: -0.004155 Loss_D_fake 0.027231
[302/5000][160/535][30870] Loss_D: -0.032121 Loss_G: 0.013343 Loss_D_real: -0.017766 Loss_D_fake 0.014356
[302/5000][165/535][30871] Loss_D: -0.031831 Loss_G: 0.017449 Loss_D_real: -0.023767 Loss_D_fake 0.008064
[302/5000][170/535][30872] Loss_D: -0.030972 Loss_G: -0.007048 Loss_D_real: -0.008203 Loss_D_fake 0.022769
[302/5000][175/535][30873] Loss_D: -0.032207 Loss_G: 0.030495 Loss_D_real: -0.022661 Loss_D_fake 0.009546
[302/5000][180/535][30874] Loss_D: -0.032241 Loss_G: 0.011102 Loss_D_real: -0.018777 Loss_D_fake 0.013464
[302/5000][185/535][30875] Loss_D: -0.030792 Loss_G: -0.014072 Loss_D_real: 0.001192 Loss_D_fake 0.031983
[302/5000][190/535][30876] Loss_D: -0.031222 Loss_G: 0.031832 Loss_D_real: -0.027352 Loss_D_fake 0.003870
[302/5000][195/535][30877] Loss_D: -0.031663 Loss_G: 0.024408 Loss_D_real: -0.025832 Loss_D_fake 0.005831
[302/5000][200/535][30878] Loss_D: -0.031497 Loss_G: 0.003385 Loss_D_real: -0.005782 Loss_D_fake 0.025715
[302/5000][205/535][30879] Loss_D: -0.030128 Loss_G: 0.013609 Loss_D_real: -0.016711 Loss_D_fake 0.013417
[302/5000][210/535][30880] Loss_D: -0.031589 Loss_G: 0.004556 Loss_D_real: -0.018068 Loss_D_fake 0.013521
[302/5000][215/535][30881] Loss_D: -0.031080 Loss_G: 0.018660 Loss_D_real: -0.030543 Loss_D_fake 0.000537
[302/5000][220/535][30882] Loss_D: -0.031417 Loss_G: 0.028971 Loss_D_real: -0.019678 Loss_D_fake 0.011739
[302/5000][225/535][30883] Loss_D: -0.031165 Loss_G: 0.018512 Loss_D_real: -0.014846 Loss_D_fake 0.016319
[302/5000][230/535][30884] Loss_D: -0.030839 Loss_G: 0.009507 Loss_D_real: -0.008848 Loss_D_fake 0.021991
[302/5000][235/535][30885] Loss_D: -0.031029 Loss_G: 0.021841 Loss_D_real: -0.028337 Loss_D_fake 0.002692
[302/5000][240/535][30886] Loss_D: -0.030392 Loss_G: 0.005869 Loss_D_real: -0.000764 Loss_D_fake 0.029628
[302/5000][245/535][30887] Loss_D: -0.031158 Loss_G: 0.019725 Loss_D_real: -0.022761 Loss_D_fake 0.008397
[302/5000][250/535][30888] Loss_D: -0.030929 Loss_G: -0.010094 Loss_D_real: -0.006075 Loss_D_fake 0.024854
[302/5000][255/535][30889] Loss_D: -0.030258 Loss_G: 0.015888 Loss_D_real: -0.020545 Loss_D_fake 0.009713
[302/5000][260/535][30890] Loss_D: -0.032082 Loss_G: 0.022386 Loss_D_real: -0.021264 Loss_D_fake 0.010818
[302/5000][265/535][30891] Loss_D: -0.030951 Loss_G: 0.026240 Loss_D_real: -0.024117 Loss_D_fake 0.006834
[302/5000][270/535][30892] Loss_D: -0.032286 Loss_G: 0.016021 Loss_D_real: -0.016674 Loss_D_fake 0.015611
[302/5000][275/535][30893] Loss_D: -0.032672 Loss_G: 0.005581 Loss_D_real: -0.008391 Loss_D_fake 0.024280
[302/5000][280/535][30894] Loss_D: -0.030197 Loss_G: 0.016468 Loss_D_real: -0.017439 Loss_D_fake 0.012758
[302/5000][285/535][30895] Loss_D: -0.032145 Loss_G: 0.026520 Loss_D_real: -0.029047 Loss_D_fake 0.003098
[302/5000][290/535][30896] Loss_D: -0.029707 Loss_G: 0.034325 Loss_D_real: -0.041908 Loss_D_fake -0.012201
[302/5000][295/535][30897] Loss_D: -0.029532 Loss_G: -0.014753 Loss_D_real: -0.002400 Loss_D_fake 0.027132
[302/5000][300/535][30898] Loss_D: -0.029648 Loss_G: 0.023324 Loss_D_real: -0.020954 Loss_D_fake 0.008694
[302/5000][305/535][30899] Loss_D: -0.030729 Loss_G: 0.001599 Loss_D_real: -0.008215 Loss_D_fake 0.022514
[302/5000][310/535][30900] Loss_D: -0.031665 Loss_G: 0.023421 Loss_D_real: -0.030749 Loss_D_fake 0.000917
[302/5000][315/535][30901] Loss_D: -0.032345 Loss_G: 0.036746 Loss_D_real: -0.034976 Loss_D_fake -0.002631
[302/5000][320/535][30902] Loss_D: -0.031761 Loss_G: 0.004970 Loss_D_real: -0.011417 Loss_D_fake 0.020344
[302/5000][325/535][30903] Loss_D: -0.029935 Loss_G: 0.029707 Loss_D_real: -0.035189 Loss_D_fake -0.005254
[302/5000][330/535][30904] Loss_D: -0.031340 Loss_G: 0.014482 Loss_D_real: -0.021513 Loss_D_fake 0.009827
[302/5000][335/535][30905] Loss_D: -0.030976 Loss_G: 0.019885 Loss_D_real: -0.029543 Loss_D_fake 0.001433
[302/5000][340/535][30906] Loss_D: -0.034691 Loss_G: 0.035279 Loss_D_real: -0.027383 Loss_D_fake 0.007308
[302/5000][345/535][30907] Loss_D: -0.031612 Loss_G: 0.001243 Loss_D_real: -0.006492 Loss_D_fake 0.025120
[302/5000][350/535][30908] Loss_D: -0.031787 Loss_G: 0.028003 Loss_D_real: -0.032805 Loss_D_fake -0.001017
[302/5000][355/535][30909] Loss_D: -0.031230 Loss_G: 0.019197 Loss_D_real: -0.022566 Loss_D_fake 0.008664
[302/5000][360/535][30910] Loss_D: -0.033345 Loss_G: 0.045677 Loss_D_real: -0.029410 Loss_D_fake 0.003935
[302/5000][365/535][30911] Loss_D: -0.029462 Loss_G: -0.000053 Loss_D_real: 0.001970 Loss_D_fake 0.031433
[302/5000][370/535][30912] Loss_D: -0.031007 Loss_G: 0.017604 Loss_D_real: -0.022954 Loss_D_fake 0.008053
[302/5000][375/535][30913] Loss_D: -0.032822 Loss_G: 0.002838 Loss_D_real: -0.013985 Loss_D_fake 0.018836
[302/5000][380/535][30914] Loss_D: -0.031180 Loss_G: 0.021969 Loss_D_real: -0.039603 Loss_D_fake -0.008423
[302/5000][385/535][30915] Loss_D: -0.031634 Loss_G: 0.032928 Loss_D_real: -0.032438 Loss_D_fake -0.000803
[302/5000][390/535][30916] Loss_D: -0.032785 Loss_G: 0.021629 Loss_D_real: -0.026562 Loss_D_fake 0.006223
[302/5000][395/535][30917] Loss_D: -0.031753 Loss_G: -0.000691 Loss_D_real: -0.002723 Loss_D_fake 0.029030
[302/5000][400/535][30918] Loss_D: -0.031962 Loss_G: 0.024287 Loss_D_real: -0.026980 Loss_D_fake 0.004982
[302/5000][405/535][30919] Loss_D: -0.032018 Loss_G: 0.017124 Loss_D_real: -0.026316 Loss_D_fake 0.005702
[302/5000][410/535][30920] Loss_D: -0.031096 Loss_G: 0.010539 Loss_D_real: -0.017776 Loss_D_fake 0.013320
[302/5000][415/535][30921] Loss_D: -0.031092 Loss_G: 0.025624 Loss_D_real: -0.021748 Loss_D_fake 0.009344
[302/5000][420/535][30922] Loss_D: -0.030532 Loss_G: 0.022032 Loss_D_real: -0.018422 Loss_D_fake 0.012110
[302/5000][425/535][30923] Loss_D: -0.030474 Loss_G: 0.018265 Loss_D_real: -0.010544 Loss_D_fake 0.019929
[302/5000][430/535][30924] Loss_D: -0.031541 Loss_G: 0.011451 Loss_D_real: -0.018668 Loss_D_fake 0.012873
[302/5000][435/535][30925] Loss_D: -0.031733 Loss_G: 0.033177 Loss_D_real: -0.037051 Loss_D_fake -0.005319
[302/5000][440/535][30926] Loss_D: -0.031121 Loss_G: -0.011190 Loss_D_real: -0.002927 Loss_D_fake 0.028195
[302/5000][445/535][30927] Loss_D: -0.030524 Loss_G: 0.036588 Loss_D_real: -0.033610 Loss_D_fake -0.003086
[302/5000][450/535][30928] Loss_D: -0.031232 Loss_G: 0.007169 Loss_D_real: -0.009590 Loss_D_fake 0.021641
[302/5000][455/535][30929] Loss_D: -0.032149 Loss_G: 0.023260 Loss_D_real: -0.026996 Loss_D_fake 0.005153
[302/5000][460/535][30930] Loss_D: -0.032702 Loss_G: 0.007088 Loss_D_real: -0.022956 Loss_D_fake 0.009747
[302/5000][465/535][30931] Loss_D: -0.031785 Loss_G: 0.010098 Loss_D_real: -0.014012 Loss_D_fake 0.017773
[302/5000][470/535][30932] Loss_D: -0.031544 Loss_G: 0.026870 Loss_D_real: -0.028651 Loss_D_fake 0.002893
[302/5000][475/535][30933] Loss_D: -0.032312 Loss_G: 0.020385 Loss_D_real: -0.018495 Loss_D_fake 0.013817
[302/5000][480/535][30934] Loss_D: -0.034062 Loss_G: 0.016336 Loss_D_real: -0.021174 Loss_D_fake 0.012888
[302/5000][485/535][30935] Loss_D: -0.032836 Loss_G: 0.019451 Loss_D_real: -0.016827 Loss_D_fake 0.016009
[302/5000][490/535][30936] Loss_D: -0.032060 Loss_G: 0.008346 Loss_D_real: -0.015129 Loss_D_fake 0.016931
[302/5000][495/535][30937] Loss_D: -0.031439 Loss_G: 0.037122 Loss_D_real: -0.039669 Loss_D_fake -0.008230
[302/5000][500/535][30938] Loss_D: -0.030612 Loss_G: -0.009795 Loss_D_real: -0.003711 Loss_D_fake 0.026901
[302/5000][505/535][30939] Loss_D: -0.030597 Loss_G: 0.023447 Loss_D_real: -0.026353 Loss_D_fake 0.004244
[302/5000][510/535][30940] Loss_D: -0.029833 Loss_G: -0.007826 Loss_D_real: 0.006938 Loss_D_fake 0.036771
[302/5000][515/535][30941] Loss_D: -0.031656 Loss_G: 0.014391 Loss_D_real: -0.014778 Loss_D_fake 0.016878
[302/5000][520/535][30942] Loss_D: -0.030798 Loss_G: 0.024409 Loss_D_real: -0.022697 Loss_D_fake 0.008102
[302/5000][525/535][30943] Loss_D: -0.031456 Loss_G: 0.003724 Loss_D_real: -0.014082 Loss_D_fake 0.017374
[302/5000][530/535][30944] Loss_D: -0.031178 Loss_G: 0.022582 Loss_D_real: -0.036120 Loss_D_fake -0.004942
[302/5000][535/535][30945] Loss_D: -0.032144 Loss_G: -0.003525 Loss_D_real: -0.011673 Loss_D_fake 0.020471
[303/5000][5/535][30946] Loss_D: -0.030969 Loss_G: 0.002994 Loss_D_real: -0.009825 Loss_D_fake 0.021144
[303/5000][10/535][30947] Loss_D: -0.030747 Loss_G: 0.022362 Loss_D_real: -0.025323 Loss_D_fake 0.005425
[303/5000][15/535][30948] Loss_D: -0.030696 Loss_G: -0.001250 Loss_D_real: -0.010970 Loss_D_fake 0.019726
[303/5000][20/535][30949] Loss_D: -0.031789 Loss_G: 0.032237 Loss_D_real: -0.025600 Loss_D_fake 0.006189
[303/5000][25/535][30950] Loss_D: -0.031614 Loss_G: 0.025797 Loss_D_real: -0.023131 Loss_D_fake 0.008484
[303/5000][30/535][30951] Loss_D: -0.032036 Loss_G: 0.025650 Loss_D_real: -0.026043 Loss_D_fake 0.005993
[303/5000][35/535][30952] Loss_D: -0.031429 Loss_G: 0.015080 Loss_D_real: -0.018854 Loss_D_fake 0.012575
[303/5000][40/535][30953] Loss_D: -0.032573 Loss_G: 0.010730 Loss_D_real: -0.011844 Loss_D_fake 0.020729
[303/5000][45/535][30954] Loss_D: -0.030611 Loss_G: 0.000785 Loss_D_real: -0.009668 Loss_D_fake 0.020944
[303/5000][50/535][30955] Loss_D: -0.027796 Loss_G: 0.039036 Loss_D_real: -0.042618 Loss_D_fake -0.014822
[303/5000][55/535][30956] Loss_D: -0.031946 Loss_G: -0.001009 Loss_D_real: -0.010540 Loss_D_fake 0.021406
[303/5000][60/535][30957] Loss_D: -0.031704 Loss_G: 0.005108 Loss_D_real: -0.023709 Loss_D_fake 0.007995
[303/5000][65/535][30958] Loss_D: -0.031413 Loss_G: 0.024025 Loss_D_real: -0.028982 Loss_D_fake 0.002431
[303/5000][70/535][30959] Loss_D: -0.032264 Loss_G: 0.025580 Loss_D_real: -0.024316 Loss_D_fake 0.007948
[303/5000][75/535][30960] Loss_D: -0.032887 Loss_G: 0.027117 Loss_D_real: -0.025145 Loss_D_fake 0.007743
[303/5000][80/535][30961] Loss_D: -0.031748 Loss_G: 0.006473 Loss_D_real: -0.008735 Loss_D_fake 0.023014
[303/5000][85/535][30962] Loss_D: -0.029724 Loss_G: 0.041659 Loss_D_real: -0.032269 Loss_D_fake -0.002545
[303/5000][90/535][30963] Loss_D: -0.030969 Loss_G: 0.009346 Loss_D_real: -0.005202 Loss_D_fake 0.025767
[303/5000][95/535][30964] Loss_D: -0.032488 Loss_G: 0.021313 Loss_D_real: -0.022708 Loss_D_fake 0.009781
[303/5000][100/535][30965] Loss_D: -0.031678 Loss_G: -0.000191 Loss_D_real: -0.013277 Loss_D_fake 0.018400
[303/5000][105/535][30966] Loss_D: -0.030606 Loss_G: -0.002946 Loss_D_real: -0.013056 Loss_D_fake 0.017550
[303/5000][110/535][30967] Loss_D: -0.030954 Loss_G: 0.037348 Loss_D_real: -0.037710 Loss_D_fake -0.006756
[303/5000][115/535][30968] Loss_D: -0.031144 Loss_G: 0.027834 Loss_D_real: -0.021893 Loss_D_fake 0.009252
[303/5000][120/535][30969] Loss_D: -0.030894 Loss_G: 0.030174 Loss_D_real: -0.033803 Loss_D_fake -0.002909
[303/5000][125/535][30970] Loss_D: -0.032795 Loss_G: 0.018521 Loss_D_real: -0.022520 Loss_D_fake 0.010275
[303/5000][130/535][30971] Loss_D: -0.031886 Loss_G: -0.003298 Loss_D_real: -0.005863 Loss_D_fake 0.026023
[303/5000][135/535][30972] Loss_D: -0.032709 Loss_G: 0.026177 Loss_D_real: -0.029640 Loss_D_fake 0.003069
[303/5000][140/535][30973] Loss_D: -0.031172 Loss_G: 0.019098 Loss_D_real: -0.032588 Loss_D_fake -0.001417
[303/5000][145/535][30974] Loss_D: -0.033231 Loss_G: -0.010728 Loss_D_real: -0.006876 Loss_D_fake 0.026355
[303/5000][150/535][30975] Loss_D: -0.030723 Loss_G: 0.035126 Loss_D_real: -0.035059 Loss_D_fake -0.004336
[303/5000][155/535][30976] Loss_D: -0.031175 Loss_G: 0.002766 Loss_D_real: -0.018003 Loss_D_fake 0.013172
[303/5000][160/535][30977] Loss_D: -0.031066 Loss_G: 0.025871 Loss_D_real: -0.018019 Loss_D_fake 0.013047
[303/5000][165/535][30978] Loss_D: -0.031346 Loss_G: 0.037061 Loss_D_real: -0.027474 Loss_D_fake 0.003872
[303/5000][170/535][30979] Loss_D: -0.032148 Loss_G: 0.005876 Loss_D_real: -0.004248 Loss_D_fake 0.027900
[303/5000][175/535][30980] Loss_D: -0.030633 Loss_G: 0.027151 Loss_D_real: -0.031964 Loss_D_fake -0.001331
[303/5000][180/535][30981] Loss_D: -0.032908 Loss_G: 0.003480 Loss_D_real: -0.014137 Loss_D_fake 0.018771
[303/5000][185/535][30982] Loss_D: -0.031158 Loss_G: 0.012023 Loss_D_real: -0.025484 Loss_D_fake 0.005674
[303/5000][190/535][30983] Loss_D: -0.031202 Loss_G: 0.019476 Loss_D_real: -0.034214 Loss_D_fake -0.003013
[303/5000][195/535][30984] Loss_D: -0.031800 Loss_G: 0.031217 Loss_D_real: -0.035421 Loss_D_fake -0.003621
[303/5000][200/535][30985] Loss_D: -0.032431 Loss_G: 0.025488 Loss_D_real: -0.029327 Loss_D_fake 0.003104
[303/5000][205/535][30986] Loss_D: -0.030850 Loss_G: -0.016047 Loss_D_real: 0.001589 Loss_D_fake 0.032439
[303/5000][210/535][30987] Loss_D: -0.031652 Loss_G: 0.019186 Loss_D_real: -0.025704 Loss_D_fake 0.005949
[303/5000][215/535][30988] Loss_D: -0.031645 Loss_G: 0.027232 Loss_D_real: -0.035321 Loss_D_fake -0.003675
[303/5000][220/535][30989] Loss_D: -0.028992 Loss_G: -0.013785 Loss_D_real: -0.003637 Loss_D_fake 0.025354
[303/5000][225/535][30990] Loss_D: -0.031353 Loss_G: 0.031675 Loss_D_real: -0.029348 Loss_D_fake 0.002004
[303/5000][230/535][30991] Loss_D: -0.031081 Loss_G: -0.010347 Loss_D_real: -0.003076 Loss_D_fake 0.028005
[303/5000][235/535][30992] Loss_D: -0.029207 Loss_G: 0.024424 Loss_D_real: -0.031705 Loss_D_fake -0.002498
[303/5000][240/535][30993] Loss_D: -0.031564 Loss_G: 0.015087 Loss_D_real: -0.019342 Loss_D_fake 0.012221
[303/5000][245/535][30994] Loss_D: -0.032250 Loss_G: 0.031888 Loss_D_real: -0.024780 Loss_D_fake 0.007470
[303/5000][250/535][30995] Loss_D: -0.033861 Loss_G: 0.016407 Loss_D_real: -0.027636 Loss_D_fake 0.006225
[303/5000][255/535][30996] Loss_D: -0.032947 Loss_G: 0.020969 Loss_D_real: -0.018979 Loss_D_fake 0.013967
[303/5000][260/535][30997] Loss_D: -0.030765 Loss_G: -0.002680 Loss_D_real: -0.003763 Loss_D_fake 0.027002
[303/5000][265/535][30998] Loss_D: -0.031911 Loss_G: 0.011355 Loss_D_real: -0.022816 Loss_D_fake 0.009095
[303/5000][270/535][30999] Loss_D: -0.032315 Loss_G: 0.025622 Loss_D_real: -0.020560 Loss_D_fake 0.011755
[303/5000][275/535][31000] Loss_D: -0.032653 Loss_G: 0.033553 Loss_D_real: -0.024711 Loss_D_fake 0.007943
[303/5000][375/535][31001] Loss_D: -0.034444 Loss_G: 0.028795 Loss_D_real: -0.026099 Loss_D_fake 0.008345
[303/5000][380/535][31002] Loss_D: -0.033352 Loss_G: 0.029152 Loss_D_real: -0.027495 Loss_D_fake 0.005857
[303/5000][385/535][31003] Loss_D: -0.029063 Loss_G: 0.012250 Loss_D_real: -0.015234 Loss_D_fake 0.013829
[303/5000][390/535][31004] Loss_D: -0.028417 Loss_G: 0.012447 Loss_D_real: -0.015712 Loss_D_fake 0.012706
[303/5000][395/535][31005] Loss_D: -0.027163 Loss_G: 0.031861 Loss_D_real: -0.029399 Loss_D_fake -0.002236
[303/5000][400/535][31006] Loss_D: -0.028885 Loss_G: 0.029124 Loss_D_real: -0.028774 Loss_D_fake 0.000111
[303/5000][405/535][31007] Loss_D: -0.030884 Loss_G: 0.016148 Loss_D_real: -0.017972 Loss_D_fake 0.012912
[303/5000][410/535][31008] Loss_D: -0.031003 Loss_G: 0.025243 Loss_D_real: -0.027194 Loss_D_fake 0.003809
[303/5000][415/535][31009] Loss_D: -0.031418 Loss_G: 0.018601 Loss_D_real: -0.017046 Loss_D_fake 0.014373
[303/5000][420/535][31010] Loss_D: -0.030329 Loss_G: -0.001032 Loss_D_real: -0.014575 Loss_D_fake 0.015753
[303/5000][425/535][31011] Loss_D: -0.030314 Loss_G: -0.002921 Loss_D_real: -0.010536 Loss_D_fake 0.019779
[303/5000][430/535][31012] Loss_D: -0.030585 Loss_G: 0.012351 Loss_D_real: -0.019430 Loss_D_fake 0.011155
[303/5000][435/535][31013] Loss_D: -0.032226 Loss_G: 0.009973 Loss_D_real: -0.025091 Loss_D_fake 0.007135
[303/5000][440/535][31014] Loss_D: -0.031289 Loss_G: 0.026182 Loss_D_real: -0.025140 Loss_D_fake 0.006149
[303/5000][445/535][31015] Loss_D: -0.030976 Loss_G: 0.034348 Loss_D_real: -0.035250 Loss_D_fake -0.004274
[303/5000][450/535][31016] Loss_D: -0.032102 Loss_G: 0.017518 Loss_D_real: -0.016660 Loss_D_fake 0.015443
[303/5000][455/535][31017] Loss_D: -0.030522 Loss_G: -0.003900 Loss_D_real: -0.001167 Loss_D_fake 0.029355
[303/5000][460/535][31018] Loss_D: -0.030654 Loss_G: 0.003687 Loss_D_real: -0.013398 Loss_D_fake 0.017256
[303/5000][465/535][31019] Loss_D: -0.031400 Loss_G: 0.029553 Loss_D_real: -0.034061 Loss_D_fake -0.002661
[303/5000][470/535][31020] Loss_D: -0.032560 Loss_G: 0.012821 Loss_D_real: -0.022288 Loss_D_fake 0.010272
[303/5000][475/535][31021] Loss_D: -0.032696 Loss_G: 0.011415 Loss_D_real: -0.015453 Loss_D_fake 0.017243
[303/5000][480/535][31022] Loss_D: -0.031164 Loss_G: -0.005077 Loss_D_real: -0.001863 Loss_D_fake 0.029300
[303/5000][485/535][31023] Loss_D: -0.030692 Loss_G: 0.029879 Loss_D_real: -0.033078 Loss_D_fake -0.002385
[303/5000][490/535][31024] Loss_D: -0.030345 Loss_G: 0.028704 Loss_D_real: -0.018648 Loss_D_fake 0.011697
[303/5000][495/535][31025] Loss_D: -0.031286 Loss_G: 0.003743 Loss_D_real: -0.014610 Loss_D_fake 0.016676
[303/5000][500/535][31026] Loss_D: -0.030335 Loss_G: 0.042653 Loss_D_real: -0.037817 Loss_D_fake -0.007482
[303/5000][505/535][31027] Loss_D: -0.028311 Loss_G: -0.021090 Loss_D_real: 0.008251 Loss_D_fake 0.036561
[303/5000][510/535][31028] Loss_D: -0.031774 Loss_G: 0.008990 Loss_D_real: -0.012371 Loss_D_fake 0.019403
[303/5000][515/535][31029] Loss_D: -0.031750 Loss_G: 0.008700 Loss_D_real: -0.017552 Loss_D_fake 0.014198
[303/5000][520/535][31030] Loss_D: -0.031972 Loss_G: 0.006430 Loss_D_real: -0.013408 Loss_D_fake 0.018564
[303/5000][525/535][31031] Loss_D: -0.032448 Loss_G: 0.007947 Loss_D_real: -0.015691 Loss_D_fake 0.016756
[303/5000][530/535][31032] Loss_D: -0.031004 Loss_G: 0.030446 Loss_D_real: -0.030835 Loss_D_fake 0.000169
[303/5000][535/535][31033] Loss_D: -0.032455 Loss_G: 0.002461 Loss_D_real: -0.001296 Loss_D_fake 0.031160
[304/5000][5/535][31034] Loss_D: -0.031452 Loss_G: 0.014701 Loss_D_real: -0.017569 Loss_D_fake 0.013883
[304/5000][10/535][31035] Loss_D: -0.032046 Loss_G: 0.017707 Loss_D_real: -0.015637 Loss_D_fake 0.016409
[304/5000][15/535][31036] Loss_D: -0.031303 Loss_G: 0.029159 Loss_D_real: -0.030692 Loss_D_fake 0.000611
[304/5000][20/535][31037] Loss_D: -0.031320 Loss_G: 0.030786 Loss_D_real: -0.025745 Loss_D_fake 0.005575
[304/5000][25/535][31038] Loss_D: -0.032958 Loss_G: 0.011887 Loss_D_real: -0.022282 Loss_D_fake 0.010677
[304/5000][30/535][31039] Loss_D: -0.031506 Loss_G: -0.007512 Loss_D_real: -0.021876 Loss_D_fake 0.009630
[304/5000][35/535][31040] Loss_D: -0.031613 Loss_G: 0.010715 Loss_D_real: -0.013715 Loss_D_fake 0.017897
[304/5000][40/535][31041] Loss_D: -0.030956 Loss_G: 0.031569 Loss_D_real: -0.026716 Loss_D_fake 0.004239
[304/5000][45/535][31042] Loss_D: -0.031179 Loss_G: 0.014417 Loss_D_real: -0.014586 Loss_D_fake 0.016593
[304/5000][50/535][31043] Loss_D: -0.030511 Loss_G: 0.043160 Loss_D_real: -0.042330 Loss_D_fake -0.011818
[304/5000][55/535][31044] Loss_D: -0.030475 Loss_G: -0.005432 Loss_D_real: -0.004157 Loss_D_fake 0.026318
[304/5000][60/535][31045] Loss_D: -0.031985 Loss_G: 0.017676 Loss_D_real: -0.023490 Loss_D_fake 0.008495
[304/5000][65/535][31046] Loss_D: -0.030683 Loss_G: 0.011306 Loss_D_real: -0.026099 Loss_D_fake 0.004584
[304/5000][70/535][31047] Loss_D: -0.029903 Loss_G: -0.004814 Loss_D_real: 0.001754 Loss_D_fake 0.031657
[304/5000][75/535][31048] Loss_D: -0.030793 Loss_G: 0.024947 Loss_D_real: -0.025532 Loss_D_fake 0.005261
[304/5000][80/535][31049] Loss_D: -0.032656 Loss_G: 0.004075 Loss_D_real: -0.019191 Loss_D_fake 0.013465
[304/5000][85/535][31050] Loss_D: -0.031509 Loss_G: 0.008180 Loss_D_real: -0.019604 Loss_D_fake 0.011904
[304/5000][90/535][31051] Loss_D: -0.031917 Loss_G: 0.006662 Loss_D_real: -0.009977 Loss_D_fake 0.021940
[304/5000][95/535][31052] Loss_D: -0.032067 Loss_G: 0.033158 Loss_D_real: -0.025622 Loss_D_fake 0.006445
[304/5000][100/535][31053] Loss_D: -0.031215 Loss_G: -0.010564 Loss_D_real: 0.002328 Loss_D_fake 0.033544
[304/5000][105/535][31054] Loss_D: -0.030357 Loss_G: 0.015078 Loss_D_real: -0.024527 Loss_D_fake 0.005831
[304/5000][110/535][31055] Loss_D: -0.031538 Loss_G: 0.017431 Loss_D_real: -0.014851 Loss_D_fake 0.016687
[304/5000][115/535][31056] Loss_D: -0.034165 Loss_G: 0.019086 Loss_D_real: -0.016806 Loss_D_fake 0.017358
[304/5000][120/535][31057] Loss_D: -0.031116 Loss_G: 0.019600 Loss_D_real: -0.030053 Loss_D_fake 0.001063
[304/5000][125/535][31058] Loss_D: -0.033495 Loss_G: 0.009439 Loss_D_real: -0.012601 Loss_D_fake 0.020894
[304/5000][130/535][31059] Loss_D: -0.031233 Loss_G: 0.011673 Loss_D_real: -0.014438 Loss_D_fake 0.016795
[304/5000][135/535][31060] Loss_D: -0.032856 Loss_G: 0.032720 Loss_D_real: -0.037222 Loss_D_fake -0.004365
[304/5000][140/535][31061] Loss_D: -0.030975 Loss_G: -0.007533 Loss_D_real: 0.000447 Loss_D_fake 0.031423
[304/5000][145/535][31062] Loss_D: -0.032649 Loss_G: 0.028272 Loss_D_real: -0.032268 Loss_D_fake 0.000380
[304/5000][150/535][31063] Loss_D: -0.031361 Loss_G: 0.010661 Loss_D_real: -0.003694 Loss_D_fake 0.027667
[304/5000][155/535][31064] Loss_D: -0.030133 Loss_G: 0.030379 Loss_D_real: -0.030809 Loss_D_fake -0.000676
[304/5000][160/535][31065] Loss_D: -0.030489 Loss_G: 0.023682 Loss_D_real: -0.029443 Loss_D_fake 0.001046
[304/5000][165/535][31066] Loss_D: -0.031159 Loss_G: 0.012606 Loss_D_real: -0.020167 Loss_D_fake 0.010991
[304/5000][170/535][31067] Loss_D: -0.031504 Loss_G: 0.013514 Loss_D_real: -0.021506 Loss_D_fake 0.009998
[304/5000][175/535][31068] Loss_D: -0.030199 Loss_G: 0.026207 Loss_D_real: -0.033782 Loss_D_fake -0.003583
[304/5000][180/535][31069] Loss_D: -0.031996 Loss_G: 0.028972 Loss_D_real: -0.016314 Loss_D_fake 0.015682
[304/5000][185/535][31070] Loss_D: -0.031416 Loss_G: 0.014271 Loss_D_real: -0.017747 Loss_D_fake 0.013669
[304/5000][190/535][31071] Loss_D: -0.031058 Loss_G: 0.015266 Loss_D_real: -0.020175 Loss_D_fake 0.010883
[304/5000][195/535][31072] Loss_D: -0.030389 Loss_G: -0.002816 Loss_D_real: -0.011329 Loss_D_fake 0.019060
[304/5000][200/535][31073] Loss_D: -0.030153 Loss_G: 0.026910 Loss_D_real: -0.032014 Loss_D_fake -0.001862
[304/5000][205/535][31074] Loss_D: -0.032775 Loss_G: 0.007688 Loss_D_real: -0.017300 Loss_D_fake 0.015474
[304/5000][210/535][31075] Loss_D: -0.031142 Loss_G: 0.029691 Loss_D_real: -0.041930 Loss_D_fake -0.010787
[304/5000][215/535][31076] Loss_D: -0.033198 Loss_G: 0.009558 Loss_D_real: -0.015219 Loss_D_fake 0.017980
[304/5000][220/535][31077] Loss_D: -0.031742 Loss_G: 0.012590 Loss_D_real: -0.006312 Loss_D_fake 0.025430
[304/5000][225/535][31078] Loss_D: -0.032144 Loss_G: 0.013880 Loss_D_real: -0.019677 Loss_D_fake 0.012466
[304/5000][230/535][31079] Loss_D: -0.031235 Loss_G: 0.018314 Loss_D_real: -0.019030 Loss_D_fake 0.012204
[304/5000][235/535][31080] Loss_D: -0.031085 Loss_G: -0.005089 Loss_D_real: -0.007406 Loss_D_fake 0.023679
[304/5000][240/535][31081] Loss_D: -0.031710 Loss_G: 0.014937 Loss_D_real: -0.019916 Loss_D_fake 0.011794
[304/5000][245/535][31082] Loss_D: -0.033272 Loss_G: 0.022986 Loss_D_real: -0.019138 Loss_D_fake 0.014134
[304/5000][250/535][31083] Loss_D: -0.031166 Loss_G: -0.018566 Loss_D_real: -0.001193 Loss_D_fake 0.029973
[304/5000][255/535][31084] Loss_D: -0.032102 Loss_G: 0.016949 Loss_D_real: -0.024752 Loss_D_fake 0.007350
[304/5000][260/535][31085] Loss_D: -0.029919 Loss_G: -0.015012 Loss_D_real: 0.009148 Loss_D_fake 0.039067
[304/5000][265/535][31086] Loss_D: -0.031668 Loss_G: 0.021832 Loss_D_real: -0.020968 Loss_D_fake 0.010700
[304/5000][270/535][31087] Loss_D: -0.030897 Loss_G: 0.019265 Loss_D_real: -0.021538 Loss_D_fake 0.009359
[304/5000][275/535][31088] Loss_D: -0.029588 Loss_G: 0.024872 Loss_D_real: -0.022620 Loss_D_fake 0.006968
[304/5000][280/535][31089] Loss_D: -0.030769 Loss_G: 0.000207 Loss_D_real: -0.014310 Loss_D_fake 0.016459
[304/5000][285/535][31090] Loss_D: -0.031705 Loss_G: 0.028444 Loss_D_real: -0.029094 Loss_D_fake 0.002611
[304/5000][290/535][31091] Loss_D: -0.032201 Loss_G: 0.020333 Loss_D_real: -0.016559 Loss_D_fake 0.015642
[304/5000][295/535][31092] Loss_D: -0.029211 Loss_G: 0.038115 Loss_D_real: -0.046058 Loss_D_fake -0.016847
[304/5000][300/535][31093] Loss_D: -0.031617 Loss_G: 0.017739 Loss_D_real: -0.021140 Loss_D_fake 0.010477
[304/5000][305/535][31094] Loss_D: -0.031143 Loss_G: -0.008407 Loss_D_real: -0.003712 Loss_D_fake 0.027430
[304/5000][310/535][31095] Loss_D: -0.031531 Loss_G: 0.014562 Loss_D_real: -0.013490 Loss_D_fake 0.018040
[304/5000][315/535][31096] Loss_D: -0.031161 Loss_G: 0.023672 Loss_D_real: -0.033982 Loss_D_fake -0.002821
[304/5000][320/535][31097] Loss_D: -0.030348 Loss_G: -0.005130 Loss_D_real: -0.002245 Loss_D_fake 0.028103
[304/5000][325/535][31098] Loss_D: -0.030041 Loss_G: 0.033866 Loss_D_real: -0.039513 Loss_D_fake -0.009471
[304/5000][330/535][31099] Loss_D: -0.033502 Loss_G: 0.009241 Loss_D_real: -0.019283 Loss_D_fake 0.014218
[304/5000][335/535][31100] Loss_D: -0.032866 Loss_G: 0.028312 Loss_D_real: -0.036923 Loss_D_fake -0.004057
[304/5000][340/535][31101] Loss_D: -0.032428 Loss_G: -0.009105 Loss_D_real: -0.009087 Loss_D_fake 0.023341
[304/5000][345/535][31102] Loss_D: -0.031601 Loss_G: 0.016701 Loss_D_real: -0.018235 Loss_D_fake 0.013366
[304/5000][350/535][31103] Loss_D: -0.032406 Loss_G: 0.016687 Loss_D_real: -0.019492 Loss_D_fake 0.012914
[304/5000][355/535][31104] Loss_D: -0.030314 Loss_G: -0.009240 Loss_D_real: -0.000293 Loss_D_fake 0.030020
[304/5000][360/535][31105] Loss_D: -0.029031 Loss_G: 0.009007 Loss_D_real: -0.019612 Loss_D_fake 0.009419
[304/5000][365/535][31106] Loss_D: -0.031229 Loss_G: 0.030558 Loss_D_real: -0.028028 Loss_D_fake 0.003201
[304/5000][370/535][31107] Loss_D: -0.031034 Loss_G: -0.006306 Loss_D_real: -0.014186 Loss_D_fake 0.016848
[304/5000][375/535][31108] Loss_D: -0.032185 Loss_G: 0.029787 Loss_D_real: -0.027050 Loss_D_fake 0.005135
[304/5000][380/535][31109] Loss_D: -0.031751 Loss_G: -0.002605 Loss_D_real: -0.011003 Loss_D_fake 0.020748
[304/5000][385/535][31110] Loss_D: -0.031630 Loss_G: 0.019778 Loss_D_real: -0.024880 Loss_D_fake 0.006750
[304/5000][390/535][31111] Loss_D: -0.031791 Loss_G: 0.032215 Loss_D_real: -0.035486 Loss_D_fake -0.003695
[304/5000][395/535][31112] Loss_D: -0.031740 Loss_G: 0.023811 Loss_D_real: -0.025339 Loss_D_fake 0.006401
[304/5000][400/535][31113] Loss_D: -0.030578 Loss_G: -0.016795 Loss_D_real: 0.003064 Loss_D_fake 0.033642
[304/5000][405/535][31114] Loss_D: -0.030610 Loss_G: 0.020841 Loss_D_real: -0.015430 Loss_D_fake 0.015180
[304/5000][410/535][31115] Loss_D: -0.031099 Loss_G: -0.004942 Loss_D_real: -0.011421 Loss_D_fake 0.019678
[304/5000][415/535][31116] Loss_D: -0.031500 Loss_G: 0.033712 Loss_D_real: -0.025522 Loss_D_fake 0.005978
[304/5000][420/535][31117] Loss_D: -0.030600 Loss_G: 0.007820 Loss_D_real: -0.014053 Loss_D_fake 0.016547
[304/5000][425/535][31118] Loss_D: -0.032599 Loss_G: 0.027970 Loss_D_real: -0.029907 Loss_D_fake 0.002692
[304/5000][430/535][31119] Loss_D: -0.032095 Loss_G: 0.021847 Loss_D_real: -0.030696 Loss_D_fake 0.001400
[304/5000][435/535][31120] Loss_D: -0.031317 Loss_G: 0.003523 Loss_D_real: -0.008962 Loss_D_fake 0.022354
[304/5000][440/535][31121] Loss_D: -0.031132 Loss_G: 0.033690 Loss_D_real: -0.038560 Loss_D_fake -0.007428
[304/5000][445/535][31122] Loss_D: -0.032013 Loss_G: 0.025863 Loss_D_real: -0.026750 Loss_D_fake 0.005263
[304/5000][450/535][31123] Loss_D: -0.031073 Loss_G: 0.011947 Loss_D_real: -0.019200 Loss_D_fake 0.011872
[304/5000][455/535][31124] Loss_D: -0.031540 Loss_G: 0.015964 Loss_D_real: -0.019335 Loss_D_fake 0.012205
[304/5000][460/535][31125] Loss_D: -0.031278 Loss_G: 0.033008 Loss_D_real: -0.022055 Loss_D_fake 0.009223
[304/5000][465/535][31126] Loss_D: -0.029982 Loss_G: -0.004278 Loss_D_real: 0.002463 Loss_D_fake 0.032445
[304/5000][470/535][31127] Loss_D: -0.030973 Loss_G: 0.004952 Loss_D_real: -0.019279 Loss_D_fake 0.011694
[304/5000][475/535][31128] Loss_D: -0.030507 Loss_G: 0.020010 Loss_D_real: -0.015851 Loss_D_fake 0.014656
[304/5000][480/535][31129] Loss_D: -0.030833 Loss_G: 0.018105 Loss_D_real: -0.020766 Loss_D_fake 0.010068
[304/5000][485/535][31130] Loss_D: -0.030261 Loss_G: 0.004696 Loss_D_real: -0.012743 Loss_D_fake 0.017518
[304/5000][490/535][31131] Loss_D: -0.031186 Loss_G: 0.026939 Loss_D_real: -0.033290 Loss_D_fake -0.002103
[304/5000][495/535][31132] Loss_D: -0.031524 Loss_G: -0.007908 Loss_D_real: -0.014827 Loss_D_fake 0.016697
[304/5000][500/535][31133] Loss_D: -0.030850 Loss_G: 0.034831 Loss_D_real: -0.034833 Loss_D_fake -0.003983
[304/5000][505/535][31134] Loss_D: -0.030132 Loss_G: -0.005657 Loss_D_real: 0.000785 Loss_D_fake 0.030916
[304/5000][510/535][31135] Loss_D: -0.030701 Loss_G: 0.026510 Loss_D_real: -0.019343 Loss_D_fake 0.011358
[304/5000][515/535][31136] Loss_D: -0.031153 Loss_G: 0.048455 Loss_D_real: -0.031660 Loss_D_fake -0.000507
[304/5000][520/535][31137] Loss_D: -0.033694 Loss_G: 0.007429 Loss_D_real: -0.022537 Loss_D_fake 0.011156
[304/5000][525/535][31138] Loss_D: -0.032647 Loss_G: 0.019506 Loss_D_real: -0.022981 Loss_D_fake 0.009667
[304/5000][530/535][31139] Loss_D: -0.030290 Loss_G: -0.015778 Loss_D_real: 0.003093 Loss_D_fake 0.033383
[304/5000][535/535][31140] Loss_D: -0.030525 Loss_G: 0.006637 Loss_D_real: -0.009318 Loss_D_fake 0.021207
[305/5000][5/535][31141] Loss_D: -0.032621 Loss_G: 0.027776 Loss_D_real: -0.034074 Loss_D_fake -0.001453
[305/5000][10/535][31142] Loss_D: -0.032697 Loss_G: 0.026117 Loss_D_real: -0.030369 Loss_D_fake 0.002328
[305/5000][15/535][31143] Loss_D: -0.031587 Loss_G: -0.017852 Loss_D_real: -0.003574 Loss_D_fake 0.028013
[305/5000][20/535][31144] Loss_D: -0.030461 Loss_G: 0.020659 Loss_D_real: -0.021978 Loss_D_fake 0.008483
[305/5000][25/535][31145] Loss_D: -0.031470 Loss_G: 0.027790 Loss_D_real: -0.027537 Loss_D_fake 0.003933
[305/5000][30/535][31146] Loss_D: -0.032569 Loss_G: 0.008837 Loss_D_real: -0.010251 Loss_D_fake 0.022318
[305/5000][35/535][31147] Loss_D: -0.032287 Loss_G: 0.012823 Loss_D_real: -0.013565 Loss_D_fake 0.018722
[305/5000][40/535][31148] Loss_D: -0.032166 Loss_G: 0.030557 Loss_D_real: -0.029923 Loss_D_fake 0.002243
[305/5000][45/535][31149] Loss_D: -0.031940 Loss_G: 0.017035 Loss_D_real: -0.021789 Loss_D_fake 0.010152
[305/5000][50/535][31150] Loss_D: -0.031645 Loss_G: 0.003697 Loss_D_real: -0.008404 Loss_D_fake 0.023241
[305/5000][55/535][31151] Loss_D: -0.031495 Loss_G: 0.019355 Loss_D_real: -0.033276 Loss_D_fake -0.001782
[305/5000][60/535][31152] Loss_D: -0.031148 Loss_G: 0.028920 Loss_D_real: -0.018119 Loss_D_fake 0.013029
[305/5000][65/535][31153] Loss_D: -0.032219 Loss_G: 0.008462 Loss_D_real: -0.015867 Loss_D_fake 0.016352
[305/5000][70/535][31154] Loss_D: -0.031219 Loss_G: 0.028431 Loss_D_real: -0.036757 Loss_D_fake -0.005537
[305/5000][75/535][31155] Loss_D: -0.031922 Loss_G: -0.003708 Loss_D_real: -0.005516 Loss_D_fake 0.026406
[305/5000][80/535][31156] Loss_D: -0.030835 Loss_G: 0.029343 Loss_D_real: -0.029242 Loss_D_fake 0.001593
[305/5000][85/535][31157] Loss_D: -0.030856 Loss_G: 0.016280 Loss_D_real: -0.024677 Loss_D_fake 0.006180
[305/5000][90/535][31158] Loss_D: -0.033879 Loss_G: 0.020289 Loss_D_real: -0.016433 Loss_D_fake 0.017447
[305/5000][95/535][31159] Loss_D: -0.031688 Loss_G: 0.016664 Loss_D_real: -0.019615 Loss_D_fake 0.012073
[305/5000][100/535][31160] Loss_D: -0.032423 Loss_G: -0.001455 Loss_D_real: -0.009133 Loss_D_fake 0.023290
[305/5000][105/535][31161] Loss_D: -0.030962 Loss_G: 0.021145 Loss_D_real: -0.025407 Loss_D_fake 0.005555
[305/5000][110/535][31162] Loss_D: -0.031044 Loss_G: 0.030706 Loss_D_real: -0.027310 Loss_D_fake 0.003734
[305/5000][115/535][31163] Loss_D: -0.030405 Loss_G: -0.012715 Loss_D_real: 0.005172 Loss_D_fake 0.035578
[305/5000][120/535][31164] Loss_D: -0.029565 Loss_G: 0.004362 Loss_D_real: -0.012828 Loss_D_fake 0.016736
[305/5000][125/535][31165] Loss_D: -0.031248 Loss_G: 0.019097 Loss_D_real: -0.023625 Loss_D_fake 0.007623
[305/5000][130/535][31166] Loss_D: -0.030676 Loss_G: 0.009781 Loss_D_real: -0.026403 Loss_D_fake 0.004273
[305/5000][135/535][31167] Loss_D: -0.031369 Loss_G: 0.020734 Loss_D_real: -0.022385 Loss_D_fake 0.008983
[305/5000][140/535][31168] Loss_D: -0.031147 Loss_G: 0.031818 Loss_D_real: -0.033706 Loss_D_fake -0.002559
[305/5000][145/535][31169] Loss_D: -0.030851 Loss_G: 0.000649 Loss_D_real: -0.008754 Loss_D_fake 0.022097
[305/5000][150/535][31170] Loss_D: -0.030659 Loss_G: 0.030805 Loss_D_real: -0.022118 Loss_D_fake 0.008540
[305/5000][155/535][31171] Loss_D: -0.030582 Loss_G: -0.000092 Loss_D_real: -0.004399 Loss_D_fake 0.026184
[305/5000][160/535][31172] Loss_D: -0.029267 Loss_G: 0.025247 Loss_D_real: -0.034384 Loss_D_fake -0.005117
[305/5000][165/535][31173] Loss_D: -0.030668 Loss_G: 0.023017 Loss_D_real: -0.025706 Loss_D_fake 0.004962
[305/5000][170/535][31174] Loss_D: -0.032092 Loss_G: 0.016069 Loss_D_real: -0.024053 Loss_D_fake 0.008040
[305/5000][175/535][31175] Loss_D: -0.029947 Loss_G: 0.034924 Loss_D_real: -0.031520 Loss_D_fake -0.001574
[305/5000][180/535][31176] Loss_D: -0.030990 Loss_G: -0.012157 Loss_D_real: 0.002209 Loss_D_fake 0.033199
[305/5000][185/535][31177] Loss_D: -0.031399 Loss_G: 0.015018 Loss_D_real: -0.020800 Loss_D_fake 0.010600
[305/5000][190/535][31178] Loss_D: -0.030475 Loss_G: 0.021686 Loss_D_real: -0.021489 Loss_D_fake 0.008986
[305/5000][195/535][31179] Loss_D: -0.031126 Loss_G: 0.021060 Loss_D_real: -0.026233 Loss_D_fake 0.004893
[305/5000][200/535][31180] Loss_D: -0.030393 Loss_G: 0.032022 Loss_D_real: -0.029796 Loss_D_fake 0.000597
[305/5000][205/535][31181] Loss_D: -0.030484 Loss_G: 0.002229 Loss_D_real: -0.008786 Loss_D_fake 0.021698
[305/5000][210/535][31182] Loss_D: -0.029573 Loss_G: 0.031880 Loss_D_real: -0.036557 Loss_D_fake -0.006983
[305/5000][215/535][31183] Loss_D: -0.031135 Loss_G: 0.024402 Loss_D_real: -0.025947 Loss_D_fake 0.005188
[305/5000][220/535][31184] Loss_D: -0.032506 Loss_G: 0.006457 Loss_D_real: -0.020315 Loss_D_fake 0.012191
[305/5000][225/535][31185] Loss_D: -0.029889 Loss_G: 0.023248 Loss_D_real: -0.019709 Loss_D_fake 0.010180
[305/5000][230/535][31186] Loss_D: -0.032498 Loss_G: 0.017440 Loss_D_real: -0.026873 Loss_D_fake 0.005625
[305/5000][235/535][31187] Loss_D: -0.032878 Loss_G: 0.015846 Loss_D_real: -0.016562 Loss_D_fake 0.016316
[305/5000][240/535][31188] Loss_D: -0.032523 Loss_G: 0.024129 Loss_D_real: -0.030249 Loss_D_fake 0.002274
[305/5000][245/535][31189] Loss_D: -0.031045 Loss_G: 0.042897 Loss_D_real: -0.040472 Loss_D_fake -0.009427
[305/5000][250/535][31190] Loss_D: -0.031485 Loss_G: -0.011482 Loss_D_real: -0.006840 Loss_D_fake 0.024645
[305/5000][255/535][31191] Loss_D: -0.028933 Loss_G: 0.028769 Loss_D_real: -0.044315 Loss_D_fake -0.015381
[305/5000][260/535][31192] Loss_D: -0.031811 Loss_G: 0.026157 Loss_D_real: -0.034162 Loss_D_fake -0.002351
[305/5000][265/535][31193] Loss_D: -0.032252 Loss_G: 0.018134 Loss_D_real: -0.018789 Loss_D_fake 0.013463
[305/5000][270/535][31194] Loss_D: -0.031313 Loss_G: 0.043072 Loss_D_real: -0.037738 Loss_D_fake -0.006425
[305/5000][275/535][31195] Loss_D: -0.031168 Loss_G: 0.002143 Loss_D_real: -0.020375 Loss_D_fake 0.010793
[305/5000][280/535][31196] Loss_D: -0.032425 Loss_G: 0.027094 Loss_D_real: -0.026050 Loss_D_fake 0.006375
[305/5000][285/535][31197] Loss_D: -0.032368 Loss_G: -0.004208 Loss_D_real: -0.000973 Loss_D_fake 0.031396
[305/5000][290/535][31198] Loss_D: -0.031909 Loss_G: 0.006681 Loss_D_real: -0.019066 Loss_D_fake 0.012843
[305/5000][295/535][31199] Loss_D: -0.030842 Loss_G: 0.020157 Loss_D_real: -0.021392 Loss_D_fake 0.009451
[305/5000][300/535][31200] Loss_D: -0.031959 Loss_G: 0.030377 Loss_D_real: -0.037466 Loss_D_fake -0.005506
[305/5000][305/535][31201] Loss_D: -0.031175 Loss_G: 0.024430 Loss_D_real: -0.026585 Loss_D_fake 0.004590
[305/5000][310/535][31202] Loss_D: -0.031999 Loss_G: 0.020238 Loss_D_real: -0.019076 Loss_D_fake 0.012923
[305/5000][315/535][31203] Loss_D: -0.032735 Loss_G: -0.004214 Loss_D_real: -0.004271 Loss_D_fake 0.028464
[305/5000][320/535][31204] Loss_D: -0.030860 Loss_G: 0.029985 Loss_D_real: -0.034792 Loss_D_fake -0.003932
[305/5000][325/535][31205] Loss_D: -0.031079 Loss_G: 0.026116 Loss_D_real: -0.019852 Loss_D_fake 0.011227
[305/5000][330/535][31206] Loss_D: -0.033719 Loss_G: -0.000341 Loss_D_real: -0.015800 Loss_D_fake 0.017918
[305/5000][335/535][31207] Loss_D: -0.030041 Loss_G: 0.022354 Loss_D_real: -0.018542 Loss_D_fake 0.011500
[305/5000][340/535][31208] Loss_D: -0.030441 Loss_G: 0.023695 Loss_D_real: -0.024657 Loss_D_fake 0.005784
[305/5000][345/535][31209] Loss_D: -0.032116 Loss_G: 0.031316 Loss_D_real: -0.026716 Loss_D_fake 0.005401
[305/5000][350/535][31210] Loss_D: -0.030648 Loss_G: -0.010410 Loss_D_real: -0.007096 Loss_D_fake 0.023552
[305/5000][355/535][31211] Loss_D: -0.030792 Loss_G: 0.025210 Loss_D_real: -0.030425 Loss_D_fake 0.000367
[305/5000][360/535][31212] Loss_D: -0.032066 Loss_G: 0.011154 Loss_D_real: -0.017539 Loss_D_fake 0.014527
[305/5000][365/535][31213] Loss_D: -0.031918 Loss_G: 0.026147 Loss_D_real: -0.029710 Loss_D_fake 0.002209
[305/5000][370/535][31214] Loss_D: -0.032481 Loss_G: -0.008099 Loss_D_real: -0.004171 Loss_D_fake 0.028310
[305/5000][375/535][31215] Loss_D: -0.031745 Loss_G: 0.020602 Loss_D_real: -0.020011 Loss_D_fake 0.011734
[305/5000][380/535][31216] Loss_D: -0.031737 Loss_G: 0.015123 Loss_D_real: -0.012659 Loss_D_fake 0.019078
[305/5000][385/535][31217] Loss_D: -0.031215 Loss_G: 0.013030 Loss_D_real: -0.026997 Loss_D_fake 0.004218
[305/5000][390/535][31218] Loss_D: -0.031927 Loss_G: 0.015333 Loss_D_real: -0.021797 Loss_D_fake 0.010129
[305/5000][395/535][31219] Loss_D: -0.030674 Loss_G: -0.009941 Loss_D_real: -0.007434 Loss_D_fake 0.023241
[305/5000][400/535][31220] Loss_D: -0.029802 Loss_G: 0.035727 Loss_D_real: -0.032608 Loss_D_fake -0.002806
[305/5000][405/535][31221] Loss_D: -0.032130 Loss_G: 0.013070 Loss_D_real: -0.024431 Loss_D_fake 0.007699
[305/5000][410/535][31222] Loss_D: -0.031783 Loss_G: 0.030815 Loss_D_real: -0.027687 Loss_D_fake 0.004096
[305/5000][415/535][31223] Loss_D: -0.032310 Loss_G: 0.028644 Loss_D_real: -0.036646 Loss_D_fake -0.004336
[305/5000][420/535][31224] Loss_D: -0.031572 Loss_G: 0.031168 Loss_D_real: -0.022848 Loss_D_fake 0.008724
[305/5000][425/535][31225] Loss_D: -0.031476 Loss_G: 0.032350 Loss_D_real: -0.040054 Loss_D_fake -0.008578
[305/5000][430/535][31226] Loss_D: -0.031425 Loss_G: 0.023581 Loss_D_real: -0.027149 Loss_D_fake 0.004276
[305/5000][435/535][31227] Loss_D: -0.031420 Loss_G: 0.011583 Loss_D_real: -0.015408 Loss_D_fake 0.016012
[305/5000][440/535][31228] Loss_D: -0.032191 Loss_G: 0.002389 Loss_D_real: -0.003708 Loss_D_fake 0.028484
[305/5000][445/535][31229] Loss_D: -0.031740 Loss_G: 0.020324 Loss_D_real: -0.030200 Loss_D_fake 0.001540
[305/5000][450/535][31230] Loss_D: -0.031532 Loss_G: 0.007950 Loss_D_real: -0.015809 Loss_D_fake 0.015723
[305/5000][455/535][31231] Loss_D: -0.030072 Loss_G: 0.034530 Loss_D_real: -0.035532 Loss_D_fake -0.005461
[305/5000][460/535][31232] Loss_D: -0.031688 Loss_G: 0.031623 Loss_D_real: -0.029667 Loss_D_fake 0.002022
[305/5000][465/535][31233] Loss_D: -0.032248 Loss_G: 0.017258 Loss_D_real: -0.023262 Loss_D_fake 0.008987
[305/5000][470/535][31234] Loss_D: -0.031257 Loss_G: 0.029907 Loss_D_real: -0.023172 Loss_D_fake 0.008085
[305/5000][475/535][31235] Loss_D: -0.031224 Loss_G: 0.002470 Loss_D_real: -0.022027 Loss_D_fake 0.009196
[305/5000][480/535][31236] Loss_D: -0.032256 Loss_G: 0.016939 Loss_D_real: -0.019868 Loss_D_fake 0.012388
[305/5000][485/535][31237] Loss_D: -0.031816 Loss_G: 0.020012 Loss_D_real: -0.022724 Loss_D_fake 0.009092
[305/5000][490/535][31238] Loss_D: -0.031939 Loss_G: 0.014338 Loss_D_real: -0.022893 Loss_D_fake 0.009046
[305/5000][495/535][31239] Loss_D: -0.030065 Loss_G: 0.029199 Loss_D_real: -0.034429 Loss_D_fake -0.004364
[305/5000][500/535][31240] Loss_D: -0.029659 Loss_G: -0.018481 Loss_D_real: -0.001344 Loss_D_fake 0.028314
[305/5000][505/535][31241] Loss_D: -0.031558 Loss_G: 0.031559 Loss_D_real: -0.030128 Loss_D_fake 0.001430
[305/5000][510/535][31242] Loss_D: -0.031846 Loss_G: 0.026911 Loss_D_real: -0.019493 Loss_D_fake 0.012354
[305/5000][515/535][31243] Loss_D: -0.030456 Loss_G: 0.033090 Loss_D_real: -0.039507 Loss_D_fake -0.009052
[305/5000][520/535][31244] Loss_D: -0.032178 Loss_G: -0.006118 Loss_D_real: -0.009808 Loss_D_fake 0.022370
[305/5000][525/535][31245] Loss_D: -0.032339 Loss_G: 0.031715 Loss_D_real: -0.030437 Loss_D_fake 0.001902
[305/5000][530/535][31246] Loss_D: -0.033233 Loss_G: -0.004448 Loss_D_real: -0.004766 Loss_D_fake 0.028466
[305/5000][535/535][31247] Loss_D: -0.031677 Loss_G: 0.024057 Loss_D_real: -0.009662 Loss_D_fake 0.022015
[306/5000][5/535][31248] Loss_D: -0.032245 Loss_G: 0.012001 Loss_D_real: -0.015027 Loss_D_fake 0.017218
[306/5000][10/535][31249] Loss_D: -0.031764 Loss_G: 0.025657 Loss_D_real: -0.032981 Loss_D_fake -0.001217
[306/5000][15/535][31250] Loss_D: -0.031530 Loss_G: 0.045727 Loss_D_real: -0.033217 Loss_D_fake -0.001687
[306/5000][20/535][31251] Loss_D: -0.032041 Loss_G: -0.001992 Loss_D_real: -0.005487 Loss_D_fake 0.026554
[306/5000][25/535][31252] Loss_D: -0.030505 Loss_G: 0.030012 Loss_D_real: -0.031696 Loss_D_fake -0.001191
[306/5000][30/535][31253] Loss_D: -0.030743 Loss_G: 0.031226 Loss_D_real: -0.025125 Loss_D_fake 0.005618
[306/5000][35/535][31254] Loss_D: -0.032019 Loss_G: 0.009841 Loss_D_real: -0.020628 Loss_D_fake 0.011391
[306/5000][40/535][31255] Loss_D: -0.031729 Loss_G: 0.019405 Loss_D_real: -0.019249 Loss_D_fake 0.012480
[306/5000][45/535][31256] Loss_D: -0.030665 Loss_G: -0.015022 Loss_D_real: -0.003336 Loss_D_fake 0.027328
[306/5000][50/535][31257] Loss_D: -0.030076 Loss_G: 0.019599 Loss_D_real: -0.033598 Loss_D_fake -0.003521
[306/5000][55/535][31258] Loss_D: -0.031521 Loss_G: 0.019337 Loss_D_real: -0.015878 Loss_D_fake 0.015643
[306/5000][60/535][31259] Loss_D: -0.031691 Loss_G: 0.017996 Loss_D_real: -0.020803 Loss_D_fake 0.010888
[306/5000][65/535][31260] Loss_D: -0.032130 Loss_G: 0.023003 Loss_D_real: -0.022639 Loss_D_fake 0.009491
[306/5000][70/535][31261] Loss_D: -0.031873 Loss_G: 0.027005 Loss_D_real: -0.025616 Loss_D_fake 0.006257
[306/5000][75/535][31262] Loss_D: -0.031511 Loss_G: 0.002405 Loss_D_real: -0.009405 Loss_D_fake 0.022105
[306/5000][80/535][31263] Loss_D: -0.031876 Loss_G: 0.028809 Loss_D_real: -0.032394 Loss_D_fake -0.000518
[306/5000][85/535][31264] Loss_D: -0.031493 Loss_G: 0.009330 Loss_D_real: -0.018022 Loss_D_fake 0.013472
[306/5000][90/535][31265] Loss_D: -0.031354 Loss_G: 0.032910 Loss_D_real: -0.033421 Loss_D_fake -0.002067
[306/5000][95/535][31266] Loss_D: -0.031458 Loss_G: 0.024520 Loss_D_real: -0.025084 Loss_D_fake 0.006373
[306/5000][100/535][31267] Loss_D: -0.031344 Loss_G: 0.016103 Loss_D_real: -0.024749 Loss_D_fake 0.006595
[306/5000][105/535][31268] Loss_D: -0.031593 Loss_G: 0.013729 Loss_D_real: -0.022027 Loss_D_fake 0.009566
[306/5000][110/535][31269] Loss_D: -0.031614 Loss_G: 0.028667 Loss_D_real: -0.027327 Loss_D_fake 0.004287
[306/5000][115/535][31270] Loss_D: -0.032633 Loss_G: 0.007014 Loss_D_real: -0.020511 Loss_D_fake 0.012122
[306/5000][120/535][31271] Loss_D: -0.031266 Loss_G: 0.021935 Loss_D_real: -0.028957 Loss_D_fake 0.002309
[306/5000][125/535][31272] Loss_D: -0.031529 Loss_G: 0.036079 Loss_D_real: -0.027495 Loss_D_fake 0.004034
[306/5000][130/535][31273] Loss_D: -0.032434 Loss_G: 0.005153 Loss_D_real: -0.005928 Loss_D_fake 0.026506
[306/5000][135/535][31274] Loss_D: -0.029733 Loss_G: 0.021633 Loss_D_real: -0.028701 Loss_D_fake 0.001032
[306/5000][140/535][31275] Loss_D: -0.030506 Loss_G: -0.003452 Loss_D_real: -0.005427 Loss_D_fake 0.025079
[306/5000][145/535][31276] Loss_D: -0.030620 Loss_G: 0.008894 Loss_D_real: -0.015910 Loss_D_fake 0.014711
[306/5000][150/535][31277] Loss_D: -0.031278 Loss_G: 0.026227 Loss_D_real: -0.035626 Loss_D_fake -0.004348
[306/5000][155/535][31278] Loss_D: -0.032583 Loss_G: 0.039521 Loss_D_real: -0.036658 Loss_D_fake -0.004075
[306/5000][160/535][31279] Loss_D: -0.030955 Loss_G: 0.004299 Loss_D_real: -0.005086 Loss_D_fake 0.025869
[306/5000][165/535][31280] Loss_D: -0.031594 Loss_G: 0.034308 Loss_D_real: -0.032788 Loss_D_fake -0.001194
[306/5000][170/535][31281] Loss_D: -0.030388 Loss_G: -0.000393 Loss_D_real: -0.014131 Loss_D_fake 0.016258
[306/5000][175/535][31282] Loss_D: -0.032687 Loss_G: 0.021158 Loss_D_real: -0.031095 Loss_D_fake 0.001592
[306/5000][180/535][31283] Loss_D: -0.031641 Loss_G: 0.005666 Loss_D_real: -0.013450 Loss_D_fake 0.018192
[306/5000][185/535][31284] Loss_D: -0.030359 Loss_G: 0.029529 Loss_D_real: -0.038070 Loss_D_fake -0.007711
[306/5000][190/535][31285] Loss_D: -0.032654 Loss_G: -0.001869 Loss_D_real: -0.006326 Loss_D_fake 0.026328
[306/5000][195/535][31286] Loss_D: -0.031084 Loss_G: 0.019830 Loss_D_real: -0.020601 Loss_D_fake 0.010482
[306/5000][200/535][31287] Loss_D: -0.029251 Loss_G: -0.008279 Loss_D_real: 0.003490 Loss_D_fake 0.032741
[306/5000][205/535][31288] Loss_D: -0.029245 Loss_G: 0.012526 Loss_D_real: -0.022551 Loss_D_fake 0.006694
[306/5000][210/535][31289] Loss_D: -0.029462 Loss_G: 0.027066 Loss_D_real: -0.027051 Loss_D_fake 0.002411
[306/5000][215/535][31290] Loss_D: -0.031523 Loss_G: 0.030064 Loss_D_real: -0.027650 Loss_D_fake 0.003873
[306/5000][220/535][31291] Loss_D: -0.031693 Loss_G: -0.000797 Loss_D_real: -0.010489 Loss_D_fake 0.021205
[306/5000][225/535][31292] Loss_D: -0.029421 Loss_G: 0.034288 Loss_D_real: -0.035619 Loss_D_fake -0.006198
[306/5000][230/535][31293] Loss_D: -0.029500 Loss_G: -0.009833 Loss_D_real: 0.001638 Loss_D_fake 0.031137
[306/5000][235/535][31294] Loss_D: -0.028028 Loss_G: 0.027320 Loss_D_real: -0.036224 Loss_D_fake -0.008195
[306/5000][240/535][31295] Loss_D: -0.029188 Loss_G: -0.004524 Loss_D_real: -0.002126 Loss_D_fake 0.027063
[306/5000][245/535][31296] Loss_D: -0.029607 Loss_G: 0.029641 Loss_D_real: -0.032042 Loss_D_fake -0.002435
[306/5000][250/535][31297] Loss_D: -0.030526 Loss_G: 0.006471 Loss_D_real: -0.008885 Loss_D_fake 0.021641
[306/5000][255/535][31298] Loss_D: -0.029272 Loss_G: 0.038884 Loss_D_real: -0.032730 Loss_D_fake -0.003458
[306/5000][260/535][31299] Loss_D: -0.033151 Loss_G: 0.014116 Loss_D_real: -0.017502 Loss_D_fake 0.015649
[306/5000][265/535][31300] Loss_D: -0.031178 Loss_G: -0.000210 Loss_D_real: -0.004850 Loss_D_fake 0.026328
[306/5000][270/535][31301] Loss_D: -0.031564 Loss_G: 0.027973 Loss_D_real: -0.024508 Loss_D_fake 0.007055
[306/5000][275/535][31302] Loss_D: -0.032400 Loss_G: 0.003841 Loss_D_real: -0.013346 Loss_D_fake 0.019055
[306/5000][280/535][31303] Loss_D: -0.032393 Loss_G: 0.035635 Loss_D_real: -0.036950 Loss_D_fake -0.004556
[306/5000][285/535][31304] Loss_D: -0.032486 Loss_G: 0.012219 Loss_D_real: -0.018407 Loss_D_fake 0.014079
[306/5000][290/535][31305] Loss_D: -0.031844 Loss_G: 0.030072 Loss_D_real: -0.036404 Loss_D_fake -0.004560
[306/5000][295/535][31306] Loss_D: -0.030492 Loss_G: 0.042365 Loss_D_real: -0.040698 Loss_D_fake -0.010206
[306/5000][300/535][31307] Loss_D: -0.031958 Loss_G: 0.031229 Loss_D_real: -0.026162 Loss_D_fake 0.005796
[306/5000][305/535][31308] Loss_D: -0.031371 Loss_G: 0.003132 Loss_D_real: -0.010177 Loss_D_fake 0.021194
[306/5000][310/535][31309] Loss_D: -0.030768 Loss_G: 0.018014 Loss_D_real: -0.024669 Loss_D_fake 0.006099
[306/5000][315/535][31310] Loss_D: -0.031386 Loss_G: 0.000594 Loss_D_real: -0.010582 Loss_D_fake 0.020804
[306/5000][320/535][31311] Loss_D: -0.031430 Loss_G: 0.010835 Loss_D_real: -0.014211 Loss_D_fake 0.017218
[306/5000][325/535][31312] Loss_D: -0.031738 Loss_G: 0.018631 Loss_D_real: -0.024914 Loss_D_fake 0.006824
[306/5000][330/535][31313] Loss_D: -0.029589 Loss_G: 0.010137 Loss_D_real: -0.011175 Loss_D_fake 0.018414
[306/5000][335/535][31314] Loss_D: -0.030745 Loss_G: 0.029896 Loss_D_real: -0.041766 Loss_D_fake -0.011021
[306/5000][340/535][31315] Loss_D: -0.029982 Loss_G: 0.010634 Loss_D_real: -0.018282 Loss_D_fake 0.011701
[306/5000][345/535][31316] Loss_D: -0.031138 Loss_G: 0.032943 Loss_D_real: -0.028743 Loss_D_fake 0.002395
[306/5000][350/535][31317] Loss_D: -0.030651 Loss_G: 0.038540 Loss_D_real: -0.035063 Loss_D_fake -0.004412
[306/5000][355/535][31318] Loss_D: -0.031679 Loss_G: 0.008955 Loss_D_real: -0.007492 Loss_D_fake 0.024187
[306/5000][360/535][31319] Loss_D: -0.031286 Loss_G: 0.019047 Loss_D_real: -0.028439 Loss_D_fake 0.002848
[306/5000][365/535][31320] Loss_D: -0.032201 Loss_G: 0.002598 Loss_D_real: -0.010062 Loss_D_fake 0.022138
[306/5000][370/535][31321] Loss_D: -0.030972 Loss_G: 0.010244 Loss_D_real: -0.024911 Loss_D_fake 0.006061
[306/5000][375/535][31322] Loss_D: -0.030593 Loss_G: 0.038997 Loss_D_real: -0.034507 Loss_D_fake -0.003914
[306/5000][380/535][31323] Loss_D: -0.032262 Loss_G: -0.009888 Loss_D_real: -0.003265 Loss_D_fake 0.028997
[306/5000][385/535][31324] Loss_D: -0.029986 Loss_G: 0.030142 Loss_D_real: -0.031088 Loss_D_fake -0.001102
[306/5000][390/535][31325] Loss_D: -0.032242 Loss_G: 0.015432 Loss_D_real: -0.015917 Loss_D_fake 0.016325
[306/5000][395/535][31326] Loss_D: -0.031583 Loss_G: 0.035046 Loss_D_real: -0.034387 Loss_D_fake -0.002805
[306/5000][400/535][31327] Loss_D: -0.031074 Loss_G: 0.011740 Loss_D_real: -0.014513 Loss_D_fake 0.016561
[306/5000][405/535][31328] Loss_D: -0.031425 Loss_G: 0.034384 Loss_D_real: -0.038216 Loss_D_fake -0.006790
[306/5000][410/535][31329] Loss_D: -0.032729 Loss_G: 0.009903 Loss_D_real: -0.012857 Loss_D_fake 0.019871
[306/5000][415/535][31330] Loss_D: -0.031006 Loss_G: 0.004586 Loss_D_real: -0.014037 Loss_D_fake 0.016969
[306/5000][420/535][31331] Loss_D: -0.031717 Loss_G: 0.018089 Loss_D_real: -0.032002 Loss_D_fake -0.000284
[306/5000][425/535][31332] Loss_D: -0.031823 Loss_G: 0.028973 Loss_D_real: -0.028549 Loss_D_fake 0.003274
[306/5000][430/535][31333] Loss_D: -0.032318 Loss_G: 0.023176 Loss_D_real: -0.024561 Loss_D_fake 0.007757
[306/5000][435/535][31334] Loss_D: -0.032384 Loss_G: 0.006281 Loss_D_real: -0.006763 Loss_D_fake 0.025621
[306/5000][440/535][31335] Loss_D: -0.030385 Loss_G: 0.025707 Loss_D_real: -0.022939 Loss_D_fake 0.007445
[306/5000][445/535][31336] Loss_D: -0.030513 Loss_G: -0.012632 Loss_D_real: 0.004013 Loss_D_fake 0.034526
[306/5000][450/535][31337] Loss_D: -0.029189 Loss_G: 0.028199 Loss_D_real: -0.031508 Loss_D_fake -0.002319
[306/5000][455/535][31338] Loss_D: -0.032571 Loss_G: 0.013845 Loss_D_real: -0.016577 Loss_D_fake 0.015994
[306/5000][460/535][31339] Loss_D: -0.031739 Loss_G: 0.015844 Loss_D_real: -0.018489 Loss_D_fake 0.013250
[306/5000][465/535][31340] Loss_D: -0.031835 Loss_G: 0.011194 Loss_D_real: -0.016182 Loss_D_fake 0.015653
[306/5000][470/535][31341] Loss_D: -0.030327 Loss_G: 0.029360 Loss_D_real: -0.032332 Loss_D_fake -0.002005
[306/5000][475/535][31342] Loss_D: -0.031622 Loss_G: 0.019154 Loss_D_real: -0.023297 Loss_D_fake 0.008325
[306/5000][480/535][31343] Loss_D: -0.031465 Loss_G: -0.000024 Loss_D_real: -0.010093 Loss_D_fake 0.021372
[306/5000][485/535][31344] Loss_D: -0.030919 Loss_G: 0.011160 Loss_D_real: -0.026299 Loss_D_fake 0.004620
[306/5000][490/535][31345] Loss_D: -0.029845 Loss_G: -0.009079 Loss_D_real: -0.004008 Loss_D_fake 0.025838
[306/5000][495/535][31346] Loss_D: -0.031794 Loss_G: 0.024430 Loss_D_real: -0.026873 Loss_D_fake 0.004921
[306/5000][500/535][31347] Loss_D: -0.031155 Loss_G: -0.004797 Loss_D_real: -0.011715 Loss_D_fake 0.019440
[306/5000][505/535][31348] Loss_D: -0.033105 Loss_G: 0.020240 Loss_D_real: -0.017522 Loss_D_fake 0.015583
[306/5000][510/535][31349] Loss_D: -0.031037 Loss_G: 0.006066 Loss_D_real: -0.009931 Loss_D_fake 0.021106
[306/5000][515/535][31350] Loss_D: -0.029448 Loss_G: 0.017570 Loss_D_real: -0.023628 Loss_D_fake 0.005820
[306/5000][520/535][31351] Loss_D: -0.029715 Loss_G: 0.002346 Loss_D_real: -0.003292 Loss_D_fake 0.026424
[306/5000][525/535][31352] Loss_D: -0.031187 Loss_G: 0.036918 Loss_D_real: -0.029510 Loss_D_fake 0.001676
[306/5000][530/535][31353] Loss_D: -0.031786 Loss_G: 0.004394 Loss_D_real: -0.015282 Loss_D_fake 0.016504
[306/5000][535/535][31354] Loss_D: -0.030257 Loss_G: 0.038856 Loss_D_real: -0.029660 Loss_D_fake 0.000597
[307/5000][5/535][31355] Loss_D: -0.033677 Loss_G: -0.002205 Loss_D_real: -0.011205 Loss_D_fake 0.022471
[307/5000][10/535][31356] Loss_D: -0.032430 Loss_G: 0.013260 Loss_D_real: -0.013636 Loss_D_fake 0.018793
[307/5000][15/535][31357] Loss_D: -0.031468 Loss_G: 0.004923 Loss_D_real: -0.008665 Loss_D_fake 0.022803
[307/5000][20/535][31358] Loss_D: -0.031109 Loss_G: 0.041239 Loss_D_real: -0.036748 Loss_D_fake -0.005639
[307/5000][25/535][31359] Loss_D: -0.030847 Loss_G: 0.015746 Loss_D_real: -0.010686 Loss_D_fake 0.020161
[307/5000][30/535][31360] Loss_D: -0.032552 Loss_G: 0.035640 Loss_D_real: -0.025665 Loss_D_fake 0.006887
[307/5000][35/535][31361] Loss_D: -0.031549 Loss_G: 0.006988 Loss_D_real: -0.009819 Loss_D_fake 0.021730
[307/5000][40/535][31362] Loss_D: -0.030803 Loss_G: -0.001821 Loss_D_real: -0.008042 Loss_D_fake 0.022761
[307/5000][45/535][31363] Loss_D: -0.032787 Loss_G: 0.022770 Loss_D_real: -0.022229 Loss_D_fake 0.010558
[307/5000][50/535][31364] Loss_D: -0.031515 Loss_G: -0.001410 Loss_D_real: -0.006323 Loss_D_fake 0.025192
[307/5000][55/535][31365] Loss_D: -0.031390 Loss_G: 0.026496 Loss_D_real: -0.032858 Loss_D_fake -0.001468
[307/5000][60/535][31366] Loss_D: -0.032710 Loss_G: 0.001241 Loss_D_real: -0.008591 Loss_D_fake 0.024119
[307/5000][65/535][31367] Loss_D: -0.031818 Loss_G: 0.028200 Loss_D_real: -0.021701 Loss_D_fake 0.010117
[307/5000][70/535][31368] Loss_D: -0.031945 Loss_G: 0.018495 Loss_D_real: -0.021136 Loss_D_fake 0.010809
[307/5000][75/535][31369] Loss_D: -0.032756 Loss_G: 0.025948 Loss_D_real: -0.025072 Loss_D_fake 0.007683
[307/5000][80/535][31370] Loss_D: -0.031776 Loss_G: 0.005151 Loss_D_real: -0.002553 Loss_D_fake 0.029223
[307/5000][85/535][31371] Loss_D: -0.031457 Loss_G: 0.007609 Loss_D_real: -0.010128 Loss_D_fake 0.021329
[307/5000][90/535][31372] Loss_D: -0.031652 Loss_G: 0.026756 Loss_D_real: -0.025825 Loss_D_fake 0.005826
[307/5000][95/535][31373] Loss_D: -0.032723 Loss_G: 0.014782 Loss_D_real: -0.018846 Loss_D_fake 0.013878
[307/5000][100/535][31374] Loss_D: -0.031680 Loss_G: -0.003686 Loss_D_real: -0.006976 Loss_D_fake 0.024704
[307/5000][105/535][31375] Loss_D: -0.030363 Loss_G: 0.030961 Loss_D_real: -0.034443 Loss_D_fake -0.004081
[307/5000][110/535][31376] Loss_D: -0.030138 Loss_G: 0.002390 Loss_D_real: -0.005901 Loss_D_fake 0.024237
[307/5000][115/535][31377] Loss_D: -0.030818 Loss_G: 0.022896 Loss_D_real: -0.038854 Loss_D_fake -0.008036
[307/5000][120/535][31378] Loss_D: -0.033465 Loss_G: 0.016343 Loss_D_real: -0.017462 Loss_D_fake 0.016003
[307/5000][125/535][31379] Loss_D: -0.031617 Loss_G: -0.006001 Loss_D_real: -0.012937 Loss_D_fake 0.018680
[307/5000][130/535][31380] Loss_D: -0.031969 Loss_G: 0.026247 Loss_D_real: -0.025876 Loss_D_fake 0.006094
[307/5000][135/535][31381] Loss_D: -0.031214 Loss_G: 0.023265 Loss_D_real: -0.027928 Loss_D_fake 0.003286
[307/5000][140/535][31382] Loss_D: -0.032841 Loss_G: 0.022576 Loss_D_real: -0.026490 Loss_D_fake 0.006351
[307/5000][145/535][31383] Loss_D: -0.031852 Loss_G: 0.011773 Loss_D_real: -0.015133 Loss_D_fake 0.016719
[307/5000][150/535][31384] Loss_D: -0.031499 Loss_G: 0.008974 Loss_D_real: -0.013387 Loss_D_fake 0.018113
[307/5000][155/535][31385] Loss_D: -0.028756 Loss_G: 0.042052 Loss_D_real: -0.045020 Loss_D_fake -0.016264
[307/5000][160/535][31386] Loss_D: -0.030075 Loss_G: 0.022847 Loss_D_real: -0.019721 Loss_D_fake 0.010354
[307/5000][165/535][31387] Loss_D: -0.031348 Loss_G: 0.009140 Loss_D_real: -0.016779 Loss_D_fake 0.014569
[307/5000][170/535][31388] Loss_D: -0.031466 Loss_G: 0.034366 Loss_D_real: -0.029788 Loss_D_fake 0.001678
[307/5000][175/535][31389] Loss_D: -0.032480 Loss_G: 0.009303 Loss_D_real: -0.016668 Loss_D_fake 0.015813
[307/5000][180/535][31390] Loss_D: -0.030662 Loss_G: 0.019546 Loss_D_real: -0.027733 Loss_D_fake 0.002929
[307/5000][185/535][31391] Loss_D: -0.032413 Loss_G: 0.005820 Loss_D_real: -0.010153 Loss_D_fake 0.022260
[307/5000][190/535][31392] Loss_D: -0.032981 Loss_G: 0.022125 Loss_D_real: -0.018879 Loss_D_fake 0.014102
[307/5000][195/535][31393] Loss_D: -0.033102 Loss_G: 0.013279 Loss_D_real: -0.018000 Loss_D_fake 0.015102
[307/5000][200/535][31394] Loss_D: -0.032973 Loss_G: 0.014528 Loss_D_real: -0.016142 Loss_D_fake 0.016831
[307/5000][205/535][31395] Loss_D: -0.030949 Loss_G: 0.005240 Loss_D_real: -0.007532 Loss_D_fake 0.023417
[307/5000][210/535][31396] Loss_D: -0.030949 Loss_G: 0.016161 Loss_D_real: -0.027875 Loss_D_fake 0.003073
[307/5000][215/535][31397] Loss_D: -0.029426 Loss_G: 0.041940 Loss_D_real: -0.036451 Loss_D_fake -0.007025
[307/5000][220/535][31398] Loss_D: -0.032424 Loss_G: -0.005002 Loss_D_real: -0.007025 Loss_D_fake 0.025399
[307/5000][225/535][31399] Loss_D: -0.031000 Loss_G: 0.013921 Loss_D_real: -0.020479 Loss_D_fake 0.010521
[307/5000][230/535][31400] Loss_D: -0.030389 Loss_G: 0.031964 Loss_D_real: -0.033033 Loss_D_fake -0.002644
[307/5000][235/535][31401] Loss_D: -0.030874 Loss_G: 0.025940 Loss_D_real: -0.037343 Loss_D_fake -0.006469
[307/5000][240/535][31402] Loss_D: -0.031188 Loss_G: 0.014714 Loss_D_real: -0.015364 Loss_D_fake 0.015825
[307/5000][245/535][31403] Loss_D: -0.031243 Loss_G: 0.006271 Loss_D_real: -0.008857 Loss_D_fake 0.022385
[307/5000][250/535][31404] Loss_D: -0.031729 Loss_G: 0.019368 Loss_D_real: -0.028788 Loss_D_fake 0.002941
[307/5000][255/535][31405] Loss_D: -0.030133 Loss_G: 0.015686 Loss_D_real: -0.020267 Loss_D_fake 0.009866
[307/5000][260/535][31406] Loss_D: -0.030365 Loss_G: 0.033662 Loss_D_real: -0.022637 Loss_D_fake 0.007728
[307/5000][265/535][31407] Loss_D: -0.032033 Loss_G: 0.012606 Loss_D_real: -0.011277 Loss_D_fake 0.020756
[307/5000][270/535][31408] Loss_D: -0.031875 Loss_G: 0.009663 Loss_D_real: -0.018632 Loss_D_fake 0.013244
[307/5000][275/535][31409] Loss_D: -0.031714 Loss_G: 0.014390 Loss_D_real: -0.020446 Loss_D_fake 0.011268
[307/5000][280/535][31410] Loss_D: -0.031366 Loss_G: -0.000797 Loss_D_real: -0.008766 Loss_D_fake 0.022600
[307/5000][285/535][31411] Loss_D: -0.031659 Loss_G: 0.031851 Loss_D_real: -0.028579 Loss_D_fake 0.003080
[307/5000][290/535][31412] Loss_D: -0.031096 Loss_G: 0.010179 Loss_D_real: -0.011848 Loss_D_fake 0.019248
[307/5000][295/535][31413] Loss_D: -0.032167 Loss_G: 0.019120 Loss_D_real: -0.027379 Loss_D_fake 0.004788
[307/5000][300/535][31414] Loss_D: -0.031078 Loss_G: -0.014550 Loss_D_real: 0.008572 Loss_D_fake 0.039650
[307/5000][305/535][31415] Loss_D: -0.029184 Loss_G: 0.035423 Loss_D_real: -0.032727 Loss_D_fake -0.003543
[307/5000][310/535][31416] Loss_D: -0.030005 Loss_G: 0.001921 Loss_D_real: -0.011631 Loss_D_fake 0.018373
[307/5000][315/535][31417] Loss_D: -0.032167 Loss_G: 0.030036 Loss_D_real: -0.026134 Loss_D_fake 0.006033
[307/5000][320/535][31418] Loss_D: -0.032210 Loss_G: 0.001747 Loss_D_real: -0.003898 Loss_D_fake 0.028313
[307/5000][325/535][31419] Loss_D: -0.031594 Loss_G: 0.028811 Loss_D_real: -0.033112 Loss_D_fake -0.001517
[307/5000][330/535][31420] Loss_D: -0.032077 Loss_G: 0.001994 Loss_D_real: -0.013020 Loss_D_fake 0.019057
[307/5000][335/535][31421] Loss_D: -0.029982 Loss_G: 0.035778 Loss_D_real: -0.036824 Loss_D_fake -0.006841
[307/5000][340/535][31422] Loss_D: -0.030304 Loss_G: 0.002572 Loss_D_real: -0.002081 Loss_D_fake 0.028223
[307/5000][345/535][31423] Loss_D: -0.030336 Loss_G: -0.005391 Loss_D_real: -0.005221 Loss_D_fake 0.025116
[307/5000][350/535][31424] Loss_D: -0.030711 Loss_G: 0.022833 Loss_D_real: -0.023271 Loss_D_fake 0.007440
[307/5000][355/535][31425] Loss_D: -0.032180 Loss_G: -0.002081 Loss_D_real: -0.004802 Loss_D_fake 0.027377
[307/5000][360/535][31426] Loss_D: -0.032291 Loss_G: 0.023658 Loss_D_real: -0.026500 Loss_D_fake 0.005791
[307/5000][365/535][31427] Loss_D: -0.032224 Loss_G: 0.017085 Loss_D_real: -0.019569 Loss_D_fake 0.012655
[307/5000][370/535][31428] Loss_D: -0.032640 Loss_G: 0.020300 Loss_D_real: -0.023506 Loss_D_fake 0.009134
[307/5000][375/535][31429] Loss_D: -0.031577 Loss_G: 0.000658 Loss_D_real: -0.006846 Loss_D_fake 0.024731
[307/5000][380/535][31430] Loss_D: -0.029776 Loss_G: 0.002296 Loss_D_real: -0.022109 Loss_D_fake 0.007666
[307/5000][385/535][31431] Loss_D: -0.032111 Loss_G: 0.023525 Loss_D_real: -0.020976 Loss_D_fake 0.011135
[307/5000][390/535][31432] Loss_D: -0.031309 Loss_G: 0.024701 Loss_D_real: -0.030663 Loss_D_fake 0.000647
[307/5000][395/535][31433] Loss_D: -0.029458 Loss_G: -0.019755 Loss_D_real: 0.003816 Loss_D_fake 0.033274
[307/5000][400/535][31434] Loss_D: -0.031989 Loss_G: -0.002872 Loss_D_real: -0.014941 Loss_D_fake 0.017048
[307/5000][405/535][31435] Loss_D: -0.031715 Loss_G: 0.029053 Loss_D_real: -0.031662 Loss_D_fake 0.000053
[307/5000][410/535][31436] Loss_D: -0.030960 Loss_G: -0.000315 Loss_D_real: -0.012305 Loss_D_fake 0.018655
[307/5000][415/535][31437] Loss_D: -0.030079 Loss_G: -0.010564 Loss_D_real: -0.006107 Loss_D_fake 0.023972
[307/5000][420/535][31438] Loss_D: -0.030683 Loss_G: 0.026362 Loss_D_real: -0.031714 Loss_D_fake -0.001031
[307/5000][425/535][31439] Loss_D: -0.031956 Loss_G: -0.006523 Loss_D_real: 0.000396 Loss_D_fake 0.032353
[307/5000][430/535][31440] Loss_D: -0.033235 Loss_G: 0.031082 Loss_D_real: -0.025942 Loss_D_fake 0.007294
[307/5000][435/535][31441] Loss_D: -0.032883 Loss_G: 0.005050 Loss_D_real: -0.008711 Loss_D_fake 0.024171
[307/5000][440/535][31442] Loss_D: -0.030850 Loss_G: 0.022827 Loss_D_real: -0.020532 Loss_D_fake 0.010318
[307/5000][445/535][31443] Loss_D: -0.029879 Loss_G: -0.006540 Loss_D_real: -0.002423 Loss_D_fake 0.027456
[307/5000][450/535][31444] Loss_D: -0.031474 Loss_G: 0.029145 Loss_D_real: -0.023710 Loss_D_fake 0.007764
[307/5000][455/535][31445] Loss_D: -0.031369 Loss_G: 0.012208 Loss_D_real: -0.019707 Loss_D_fake 0.011661
[307/5000][460/535][31446] Loss_D: -0.033306 Loss_G: 0.022497 Loss_D_real: -0.017304 Loss_D_fake 0.016002
[307/5000][465/535][31447] Loss_D: -0.031340 Loss_G: 0.020103 Loss_D_real: -0.027162 Loss_D_fake 0.004178
[307/5000][470/535][31448] Loss_D: -0.032836 Loss_G: 0.025476 Loss_D_real: -0.022756 Loss_D_fake 0.010080
[307/5000][475/535][31449] Loss_D: -0.030914 Loss_G: 0.024506 Loss_D_real: -0.019887 Loss_D_fake 0.011027
[307/5000][480/535][31450] Loss_D: -0.030128 Loss_G: 0.026981 Loss_D_real: -0.029317 Loss_D_fake 0.000811
[307/5000][485/535][31451] Loss_D: -0.031791 Loss_G: 0.019720 Loss_D_real: -0.023204 Loss_D_fake 0.008587
[307/5000][490/535][31452] Loss_D: -0.031983 Loss_G: 0.012638 Loss_D_real: -0.022774 Loss_D_fake 0.009209
[307/5000][495/535][31453] Loss_D: -0.032057 Loss_G: -0.002659 Loss_D_real: 0.000258 Loss_D_fake 0.032315
[307/5000][500/535][31454] Loss_D: -0.029744 Loss_G: 0.033544 Loss_D_real: -0.042394 Loss_D_fake -0.012650
[307/5000][505/535][31455] Loss_D: -0.030803 Loss_G: 0.014098 Loss_D_real: -0.021722 Loss_D_fake 0.009080
[307/5000][510/535][31456] Loss_D: -0.032943 Loss_G: 0.020293 Loss_D_real: -0.018560 Loss_D_fake 0.014383
[307/5000][515/535][31457] Loss_D: -0.032919 Loss_G: 0.009966 Loss_D_real: -0.011538 Loss_D_fake 0.021381
[307/5000][520/535][31458] Loss_D: -0.033365 Loss_G: 0.029577 Loss_D_real: -0.025196 Loss_D_fake 0.008169
[307/5000][525/535][31459] Loss_D: -0.031793 Loss_G: 0.013155 Loss_D_real: -0.018947 Loss_D_fake 0.012846
[307/5000][530/535][31460] Loss_D: -0.031666 Loss_G: 0.021591 Loss_D_real: -0.030142 Loss_D_fake 0.001524
[307/5000][535/535][31461] Loss_D: -0.029818 Loss_G: 0.047225 Loss_D_real: -0.043610 Loss_D_fake -0.013792
[308/5000][5/535][31462] Loss_D: -0.031985 Loss_G: 0.013978 Loss_D_real: -0.017614 Loss_D_fake 0.014371
[308/5000][10/535][31463] Loss_D: -0.032379 Loss_G: 0.015592 Loss_D_real: -0.022881 Loss_D_fake 0.009498
[308/5000][15/535][31464] Loss_D: -0.031420 Loss_G: 0.031501 Loss_D_real: -0.025739 Loss_D_fake 0.005681
[308/5000][20/535][31465] Loss_D: -0.031210 Loss_G: 0.036752 Loss_D_real: -0.038626 Loss_D_fake -0.007416
[308/5000][25/535][31466] Loss_D: -0.031299 Loss_G: 0.003457 Loss_D_real: -0.012668 Loss_D_fake 0.018632
[308/5000][30/535][31467] Loss_D: -0.031280 Loss_G: 0.038778 Loss_D_real: -0.034873 Loss_D_fake -0.003593
[308/5000][35/535][31468] Loss_D: -0.032463 Loss_G: 0.016499 Loss_D_real: -0.022067 Loss_D_fake 0.010396
[308/5000][40/535][31469] Loss_D: -0.031427 Loss_G: 0.039813 Loss_D_real: -0.037338 Loss_D_fake -0.005911
[308/5000][45/535][31470] Loss_D: -0.031609 Loss_G: 0.009726 Loss_D_real: -0.016141 Loss_D_fake 0.015469
[308/5000][50/535][31471] Loss_D: -0.030205 Loss_G: 0.020650 Loss_D_real: -0.025730 Loss_D_fake 0.004475
[308/5000][55/535][31472] Loss_D: -0.031453 Loss_G: 0.022687 Loss_D_real: -0.028281 Loss_D_fake 0.003172
[308/5000][60/535][31473] Loss_D: -0.032344 Loss_G: 0.014264 Loss_D_real: -0.026253 Loss_D_fake 0.006091
[308/5000][65/535][31474] Loss_D: -0.030961 Loss_G: 0.004823 Loss_D_real: -0.016829 Loss_D_fake 0.014132
[308/5000][70/535][31475] Loss_D: -0.031777 Loss_G: 0.023605 Loss_D_real: -0.019916 Loss_D_fake 0.011861
[308/5000][75/535][31476] Loss_D: -0.030602 Loss_G: 0.014948 Loss_D_real: -0.025598 Loss_D_fake 0.005004
[308/5000][80/535][31477] Loss_D: -0.031331 Loss_G: -0.004167 Loss_D_real: -0.006593 Loss_D_fake 0.024739
[308/5000][85/535][31478] Loss_D: -0.030769 Loss_G: 0.026232 Loss_D_real: -0.016450 Loss_D_fake 0.014319
[308/5000][90/535][31479] Loss_D: -0.032542 Loss_G: 0.007938 Loss_D_real: -0.013494 Loss_D_fake 0.019049
[308/5000][95/535][31480] Loss_D: -0.031190 Loss_G: 0.000512 Loss_D_real: -0.013181 Loss_D_fake 0.018009
[308/5000][100/535][31481] Loss_D: -0.032096 Loss_G: 0.024400 Loss_D_real: -0.028459 Loss_D_fake 0.003636
[308/5000][105/535][31482] Loss_D: -0.032941 Loss_G: 0.016219 Loss_D_real: -0.021713 Loss_D_fake 0.011228
[308/5000][110/535][31483] Loss_D: -0.031298 Loss_G: -0.009182 Loss_D_real: -0.006518 Loss_D_fake 0.024779
[308/5000][115/535][31484] Loss_D: -0.032267 Loss_G: 0.012789 Loss_D_real: -0.013914 Loss_D_fake 0.018353
[308/5000][120/535][31485] Loss_D: -0.031923 Loss_G: 0.029343 Loss_D_real: -0.029291 Loss_D_fake 0.002631
[308/5000][125/535][31486] Loss_D: -0.032415 Loss_G: 0.029120 Loss_D_real: -0.034387 Loss_D_fake -0.001972
[308/5000][130/535][31487] Loss_D: -0.032757 Loss_G: 0.017902 Loss_D_real: -0.018578 Loss_D_fake 0.014179
[308/5000][135/535][31488] Loss_D: -0.031800 Loss_G: 0.042139 Loss_D_real: -0.034896 Loss_D_fake -0.003097
[308/5000][140/535][31489] Loss_D: -0.030998 Loss_G: -0.007472 Loss_D_real: -0.005051 Loss_D_fake 0.025948
[308/5000][145/535][31490] Loss_D: -0.031105 Loss_G: 0.021175 Loss_D_real: -0.017744 Loss_D_fake 0.013362
[308/5000][150/535][31491] Loss_D: -0.031858 Loss_G: 0.001292 Loss_D_real: -0.017508 Loss_D_fake 0.014350
[308/5000][155/535][31492] Loss_D: -0.031202 Loss_G: 0.009995 Loss_D_real: -0.012327 Loss_D_fake 0.018876
[308/5000][160/535][31493] Loss_D: -0.030900 Loss_G: 0.028797 Loss_D_real: -0.026714 Loss_D_fake 0.004186
[308/5000][165/535][31494] Loss_D: -0.032853 Loss_G: 0.028332 Loss_D_real: -0.034404 Loss_D_fake -0.001551
[308/5000][170/535][31495] Loss_D: -0.030186 Loss_G: -0.009621 Loss_D_real: 0.001090 Loss_D_fake 0.031277
[308/5000][175/535][31496] Loss_D: -0.030476 Loss_G: 0.015688 Loss_D_real: -0.021797 Loss_D_fake 0.008679
[308/5000][180/535][31497] Loss_D: -0.030910 Loss_G: 0.032312 Loss_D_real: -0.028233 Loss_D_fake 0.002677
[308/5000][185/535][31498] Loss_D: -0.032717 Loss_G: 0.005889 Loss_D_real: -0.017611 Loss_D_fake 0.015106
[308/5000][190/535][31499] Loss_D: -0.031469 Loss_G: 0.022218 Loss_D_real: -0.018583 Loss_D_fake 0.012887
[308/5000][195/535][31500] Loss_D: -0.031398 Loss_G: 0.012345 Loss_D_real: -0.026522 Loss_D_fake 0.004875
[308/5000][295/535][31501] Loss_D: -0.033397 Loss_G: 0.040575 Loss_D_real: -0.035427 Loss_D_fake -0.002030
[308/5000][300/535][31502] Loss_D: -0.030704 Loss_G: 0.014953 Loss_D_real: -0.019043 Loss_D_fake 0.011661
[308/5000][305/535][31503] Loss_D: -0.030829 Loss_G: 0.014056 Loss_D_real: -0.021208 Loss_D_fake 0.009620
[308/5000][310/535][31504] Loss_D: -0.030176 Loss_G: 0.012869 Loss_D_real: -0.020550 Loss_D_fake 0.009625
[308/5000][315/535][31505] Loss_D: -0.030013 Loss_G: 0.025196 Loss_D_real: -0.027808 Loss_D_fake 0.002205
[308/5000][320/535][31506] Loss_D: -0.029848 Loss_G: 0.022072 Loss_D_real: -0.013541 Loss_D_fake 0.016306
[308/5000][325/535][31507] Loss_D: -0.031269 Loss_G: 0.010519 Loss_D_real: -0.016623 Loss_D_fake 0.014646
[308/5000][330/535][31508] Loss_D: -0.031417 Loss_G: 0.020604 Loss_D_real: -0.023081 Loss_D_fake 0.008336
[308/5000][335/535][31509] Loss_D: -0.030981 Loss_G: 0.031835 Loss_D_real: -0.026610 Loss_D_fake 0.004371
[308/5000][340/535][31510] Loss_D: -0.030382 Loss_G: 0.005731 Loss_D_real: -0.006632 Loss_D_fake 0.023750
[308/5000][345/535][31511] Loss_D: -0.029453 Loss_G: 0.012851 Loss_D_real: -0.024459 Loss_D_fake 0.004994
[308/5000][350/535][31512] Loss_D: -0.029517 Loss_G: 0.036517 Loss_D_real: -0.027058 Loss_D_fake 0.002459
[308/5000][355/535][31513] Loss_D: -0.031587 Loss_G: 0.027363 Loss_D_real: -0.020279 Loss_D_fake 0.011309
[308/5000][360/535][31514] Loss_D: -0.031490 Loss_G: 0.004129 Loss_D_real: -0.013892 Loss_D_fake 0.017598
[308/5000][365/535][31515] Loss_D: -0.030024 Loss_G: 0.029537 Loss_D_real: -0.035076 Loss_D_fake -0.005052
[308/5000][370/535][31516] Loss_D: -0.030706 Loss_G: -0.006218 Loss_D_real: -0.005479 Loss_D_fake 0.025228
[308/5000][375/535][31517] Loss_D: -0.032151 Loss_G: 0.008775 Loss_D_real: -0.018884 Loss_D_fake 0.013267
[308/5000][380/535][31518] Loss_D: -0.031083 Loss_G: 0.014584 Loss_D_real: -0.025520 Loss_D_fake 0.005563
[308/5000][385/535][31519] Loss_D: -0.031597 Loss_G: 0.032017 Loss_D_real: -0.029836 Loss_D_fake 0.001761
[308/5000][390/535][31520] Loss_D: -0.030773 Loss_G: -0.008892 Loss_D_real: -0.000411 Loss_D_fake 0.030362
[308/5000][395/535][31521] Loss_D: -0.030580 Loss_G: 0.025373 Loss_D_real: -0.031463 Loss_D_fake -0.000883
[308/5000][400/535][31522] Loss_D: -0.031054 Loss_G: 0.004476 Loss_D_real: -0.012201 Loss_D_fake 0.018853
[308/5000][405/535][31523] Loss_D: -0.031590 Loss_G: 0.010924 Loss_D_real: -0.011516 Loss_D_fake 0.020074
[308/5000][410/535][31524] Loss_D: -0.029960 Loss_G: 0.020438 Loss_D_real: -0.025807 Loss_D_fake 0.004153
[308/5000][415/535][31525] Loss_D: -0.033341 Loss_G: 0.011063 Loss_D_real: -0.022050 Loss_D_fake 0.011292
[308/5000][420/535][31526] Loss_D: -0.029442 Loss_G: 0.043757 Loss_D_real: -0.042078 Loss_D_fake -0.012636
[308/5000][425/535][31527] Loss_D: -0.030299 Loss_G: 0.002986 Loss_D_real: -0.012830 Loss_D_fake 0.017469
[308/5000][430/535][31528] Loss_D: -0.032980 Loss_G: 0.014516 Loss_D_real: -0.028349 Loss_D_fake 0.004631
[308/5000][435/535][31529] Loss_D: -0.032431 Loss_G: 0.002196 Loss_D_real: -0.013263 Loss_D_fake 0.019169
[308/5000][440/535][31530] Loss_D: -0.032080 Loss_G: 0.036244 Loss_D_real: -0.036053 Loss_D_fake -0.003973
[308/5000][445/535][31531] Loss_D: -0.033474 Loss_G: 0.010262 Loss_D_real: -0.019640 Loss_D_fake 0.013834
[308/5000][450/535][31532] Loss_D: -0.033012 Loss_G: 0.006969 Loss_D_real: -0.011968 Loss_D_fake 0.021044
[308/5000][455/535][31533] Loss_D: -0.031875 Loss_G: 0.033183 Loss_D_real: -0.031832 Loss_D_fake 0.000043
[308/5000][460/535][31534] Loss_D: -0.033149 Loss_G: 0.004890 Loss_D_real: -0.012464 Loss_D_fake 0.020685
[308/5000][465/535][31535] Loss_D: -0.031360 Loss_G: 0.011752 Loss_D_real: -0.022977 Loss_D_fake 0.008384
[308/5000][470/535][31536] Loss_D: -0.032580 Loss_G: 0.021625 Loss_D_real: -0.025840 Loss_D_fake 0.006740
[308/5000][475/535][31537] Loss_D: -0.031975 Loss_G: 0.025480 Loss_D_real: -0.025639 Loss_D_fake 0.006335
[308/5000][480/535][31538] Loss_D: -0.031846 Loss_G: 0.027895 Loss_D_real: -0.025255 Loss_D_fake 0.006591
[308/5000][485/535][31539] Loss_D: -0.031719 Loss_G: 0.014605 Loss_D_real: -0.021674 Loss_D_fake 0.010045
[308/5000][490/535][31540] Loss_D: -0.032084 Loss_G: -0.000242 Loss_D_real: -0.009850 Loss_D_fake 0.022234
[308/5000][495/535][31541] Loss_D: -0.031402 Loss_G: 0.023202 Loss_D_real: -0.022280 Loss_D_fake 0.009123
[308/5000][500/535][31542] Loss_D: -0.032035 Loss_G: 0.016392 Loss_D_real: -0.022044 Loss_D_fake 0.009991
[308/5000][505/535][31543] Loss_D: -0.032413 Loss_G: -0.004372 Loss_D_real: -0.008734 Loss_D_fake 0.023679
[308/5000][510/535][31544] Loss_D: -0.030993 Loss_G: 0.000719 Loss_D_real: -0.014890 Loss_D_fake 0.016103
[308/5000][515/535][31545] Loss_D: -0.028011 Loss_G: 0.050904 Loss_D_real: -0.046135 Loss_D_fake -0.018124
[308/5000][520/535][31546] Loss_D: -0.030630 Loss_G: 0.005862 Loss_D_real: -0.008572 Loss_D_fake 0.022058
[308/5000][525/535][31547] Loss_D: -0.032106 Loss_G: 0.010218 Loss_D_real: -0.015043 Loss_D_fake 0.017064
[308/5000][530/535][31548] Loss_D: -0.032498 Loss_G: -0.005934 Loss_D_real: -0.007111 Loss_D_fake 0.025387
[308/5000][535/535][31549] Loss_D: -0.036684 Loss_G: 0.009457 Loss_D_real: -0.021832 Loss_D_fake 0.014852
[309/5000][5/535][31550] Loss_D: -0.031367 Loss_G: 0.024593 Loss_D_real: -0.023961 Loss_D_fake 0.007406
[309/5000][10/535][31551] Loss_D: -0.031206 Loss_G: 0.000205 Loss_D_real: -0.008580 Loss_D_fake 0.022626
[309/5000][15/535][31552] Loss_D: -0.029011 Loss_G: 0.038084 Loss_D_real: -0.046039 Loss_D_fake -0.017028
[309/5000][20/535][31553] Loss_D: -0.031163 Loss_G: 0.001169 Loss_D_real: 0.000626 Loss_D_fake 0.031789
[309/5000][25/535][31554] Loss_D: -0.031430 Loss_G: 0.022599 Loss_D_real: -0.021228 Loss_D_fake 0.010201
[309/5000][30/535][31555] Loss_D: -0.030523 Loss_G: 0.025755 Loss_D_real: -0.033029 Loss_D_fake -0.002505
[309/5000][35/535][31556] Loss_D: -0.032055 Loss_G: 0.021880 Loss_D_real: -0.015631 Loss_D_fake 0.016424
[309/5000][40/535][31557] Loss_D: -0.031629 Loss_G: -0.009493 Loss_D_real: -0.002724 Loss_D_fake 0.028905
[309/5000][45/535][31558] Loss_D: -0.032489 Loss_G: 0.024522 Loss_D_real: -0.017270 Loss_D_fake 0.015219
[309/5000][50/535][31559] Loss_D: -0.030598 Loss_G: -0.003684 Loss_D_real: -0.006491 Loss_D_fake 0.024107
[309/5000][55/535][31560] Loss_D: -0.031547 Loss_G: 0.037517 Loss_D_real: -0.027973 Loss_D_fake 0.003574
[309/5000][60/535][31561] Loss_D: -0.029797 Loss_G: 0.019235 Loss_D_real: -0.022416 Loss_D_fake 0.007381
[309/5000][65/535][31562] Loss_D: -0.030822 Loss_G: 0.005131 Loss_D_real: -0.016767 Loss_D_fake 0.014055
[309/5000][70/535][31563] Loss_D: -0.030595 Loss_G: 0.029455 Loss_D_real: -0.032593 Loss_D_fake -0.001999
[309/5000][75/535][31564] Loss_D: -0.032233 Loss_G: 0.019188 Loss_D_real: -0.020850 Loss_D_fake 0.011383
[309/5000][80/535][31565] Loss_D: -0.031084 Loss_G: 0.029236 Loss_D_real: -0.034203 Loss_D_fake -0.003119
[309/5000][85/535][31566] Loss_D: -0.032394 Loss_G: 0.027593 Loss_D_real: -0.020338 Loss_D_fake 0.012056
[309/5000][90/535][31567] Loss_D: -0.031589 Loss_G: 0.006584 Loss_D_real: -0.013246 Loss_D_fake 0.018343
[309/5000][95/535][31568] Loss_D: -0.031846 Loss_G: 0.029374 Loss_D_real: -0.022913 Loss_D_fake 0.008934
[309/5000][100/535][31569] Loss_D: -0.031280 Loss_G: -0.001528 Loss_D_real: -0.011949 Loss_D_fake 0.019331
[309/5000][105/535][31570] Loss_D: -0.031239 Loss_G: 0.038329 Loss_D_real: -0.034009 Loss_D_fake -0.002770
[309/5000][110/535][31571] Loss_D: -0.031302 Loss_G: 0.011323 Loss_D_real: -0.020699 Loss_D_fake 0.010604
[309/5000][115/535][31572] Loss_D: -0.030573 Loss_G: 0.018393 Loss_D_real: -0.017433 Loss_D_fake 0.013141
[309/5000][120/535][31573] Loss_D: -0.030669 Loss_G: -0.005392 Loss_D_real: -0.013044 Loss_D_fake 0.017625
[309/5000][125/535][31574] Loss_D: -0.030936 Loss_G: 0.025284 Loss_D_real: -0.033404 Loss_D_fake -0.002467
[309/5000][130/535][31575] Loss_D: -0.030324 Loss_G: -0.011183 Loss_D_real: 0.001243 Loss_D_fake 0.031567
[309/5000][135/535][31576] Loss_D: -0.029892 Loss_G: 0.033065 Loss_D_real: -0.031241 Loss_D_fake -0.001349
[309/5000][140/535][31577] Loss_D: -0.029592 Loss_G: -0.010710 Loss_D_real: 0.003282 Loss_D_fake 0.032874
[309/5000][145/535][31578] Loss_D: -0.028245 Loss_G: 0.027986 Loss_D_real: -0.036543 Loss_D_fake -0.008299
[309/5000][150/535][31579] Loss_D: -0.032602 Loss_G: -0.004243 Loss_D_real: -0.007279 Loss_D_fake 0.025323
[309/5000][155/535][31580] Loss_D: -0.030286 Loss_G: 0.011681 Loss_D_real: -0.021008 Loss_D_fake 0.009278
[309/5000][160/535][31581] Loss_D: -0.032438 Loss_G: 0.012954 Loss_D_real: -0.017895 Loss_D_fake 0.014544
[309/5000][165/535][31582] Loss_D: -0.031833 Loss_G: 0.030841 Loss_D_real: -0.035994 Loss_D_fake -0.004161
[309/5000][170/535][31583] Loss_D: -0.030814 Loss_G: -0.012363 Loss_D_real: 0.009153 Loss_D_fake 0.039967
[309/5000][175/535][31584] Loss_D: -0.031329 Loss_G: 0.015641 Loss_D_real: -0.015706 Loss_D_fake 0.015622
[309/5000][180/535][31585] Loss_D: -0.031757 Loss_G: 0.035298 Loss_D_real: -0.023725 Loss_D_fake 0.008032
[309/5000][185/535][31586] Loss_D: -0.032975 Loss_G: -0.004282 Loss_D_real: -0.008665 Loss_D_fake 0.024310
[309/5000][190/535][31587] Loss_D: -0.033308 Loss_G: 0.024866 Loss_D_real: -0.022640 Loss_D_fake 0.010667
[309/5000][195/535][31588] Loss_D: -0.032729 Loss_G: 0.020114 Loss_D_real: -0.018255 Loss_D_fake 0.014474
[309/5000][200/535][31589] Loss_D: -0.031003 Loss_G: -0.008327 Loss_D_real: -0.000896 Loss_D_fake 0.030107
[309/5000][205/535][31590] Loss_D: -0.030054 Loss_G: 0.024141 Loss_D_real: -0.030125 Loss_D_fake -0.000070
[309/5000][210/535][31591] Loss_D: -0.031799 Loss_G: 0.000190 Loss_D_real: -0.008855 Loss_D_fake 0.022944
[309/5000][215/535][31592] Loss_D: -0.030761 Loss_G: 0.037544 Loss_D_real: -0.032131 Loss_D_fake -0.001370
[309/5000][220/535][31593] Loss_D: -0.030516 Loss_G: -0.004501 Loss_D_real: -0.005623 Loss_D_fake 0.024893
[309/5000][225/535][31594] Loss_D: -0.030717 Loss_G: 0.011887 Loss_D_real: -0.017620 Loss_D_fake 0.013097
[309/5000][230/535][31595] Loss_D: -0.031467 Loss_G: 0.035912 Loss_D_real: -0.024796 Loss_D_fake 0.006671
[309/5000][235/535][31596] Loss_D: -0.032190 Loss_G: 0.007600 Loss_D_real: -0.017062 Loss_D_fake 0.015128
[309/5000][240/535][31597] Loss_D: -0.032210 Loss_G: 0.007524 Loss_D_real: -0.009255 Loss_D_fake 0.022955
[309/5000][245/535][31598] Loss_D: -0.032774 Loss_G: 0.011978 Loss_D_real: -0.016133 Loss_D_fake 0.016641
[309/5000][250/535][31599] Loss_D: -0.030117 Loss_G: 0.026889 Loss_D_real: -0.035175 Loss_D_fake -0.005058
[309/5000][255/535][31600] Loss_D: -0.030641 Loss_G: 0.027242 Loss_D_real: -0.018217 Loss_D_fake 0.012425
[309/5000][260/535][31601] Loss_D: -0.029663 Loss_G: -0.003115 Loss_D_real: -0.002292 Loss_D_fake 0.027370
[309/5000][265/535][31602] Loss_D: -0.029575 Loss_G: 0.021759 Loss_D_real: -0.030524 Loss_D_fake -0.000950
[309/5000][270/535][31603] Loss_D: -0.032718 Loss_G: 0.007905 Loss_D_real: -0.012115 Loss_D_fake 0.020603
[309/5000][275/535][31604] Loss_D: -0.032165 Loss_G: -0.012885 Loss_D_real: -0.002570 Loss_D_fake 0.029595
[309/5000][280/535][31605] Loss_D: -0.030437 Loss_G: 0.028121 Loss_D_real: -0.033091 Loss_D_fake -0.002654
[309/5000][285/535][31606] Loss_D: -0.033483 Loss_G: 0.009866 Loss_D_real: -0.020311 Loss_D_fake 0.013171
[309/5000][290/535][31607] Loss_D: -0.031477 Loss_G: 0.030158 Loss_D_real: -0.029820 Loss_D_fake 0.001657
[309/5000][295/535][31608] Loss_D: -0.033318 Loss_G: 0.018236 Loss_D_real: -0.018072 Loss_D_fake 0.015247
[309/5000][300/535][31609] Loss_D: -0.031118 Loss_G: 0.016429 Loss_D_real: -0.013652 Loss_D_fake 0.017466
[309/5000][305/535][31610] Loss_D: -0.031121 Loss_G: 0.021785 Loss_D_real: -0.024303 Loss_D_fake 0.006817
[309/5000][310/535][31611] Loss_D: -0.029789 Loss_G: 0.012980 Loss_D_real: -0.008872 Loss_D_fake 0.020917
[309/5000][315/535][31612] Loss_D: -0.030690 Loss_G: 0.039813 Loss_D_real: -0.032659 Loss_D_fake -0.001969
[309/5000][320/535][31613] Loss_D: -0.033115 Loss_G: -0.002727 Loss_D_real: -0.011120 Loss_D_fake 0.021995
[309/5000][325/535][31614] Loss_D: -0.028310 Loss_G: 0.020851 Loss_D_real: -0.021833 Loss_D_fake 0.006477
[309/5000][330/535][31615] Loss_D: -0.031631 Loss_G: 0.009588 Loss_D_real: -0.017866 Loss_D_fake 0.013765
[309/5000][335/535][31616] Loss_D: -0.029895 Loss_G: 0.029425 Loss_D_real: -0.031944 Loss_D_fake -0.002049
[309/5000][340/535][31617] Loss_D: -0.029891 Loss_G: 0.041206 Loss_D_real: -0.045014 Loss_D_fake -0.015123
[309/5000][345/535][31618] Loss_D: -0.031514 Loss_G: 0.028861 Loss_D_real: -0.026541 Loss_D_fake 0.004973
[309/5000][350/535][31619] Loss_D: -0.030783 Loss_G: 0.015657 Loss_D_real: -0.016927 Loss_D_fake 0.013856
[309/5000][355/535][31620] Loss_D: -0.030775 Loss_G: 0.022262 Loss_D_real: -0.012926 Loss_D_fake 0.017850
[309/5000][360/535][31621] Loss_D: -0.032608 Loss_G: 0.012921 Loss_D_real: -0.020284 Loss_D_fake 0.012324
[309/5000][365/535][31622] Loss_D: -0.030077 Loss_G: 0.039612 Loss_D_real: -0.044013 Loss_D_fake -0.013936
[309/5000][370/535][31623] Loss_D: -0.030448 Loss_G: 0.020973 Loss_D_real: -0.026388 Loss_D_fake 0.004060
[309/5000][375/535][31624] Loss_D: -0.031423 Loss_G: 0.008075 Loss_D_real: -0.017343 Loss_D_fake 0.014081
[309/5000][380/535][31625] Loss_D: -0.032424 Loss_G: 0.025488 Loss_D_real: -0.021865 Loss_D_fake 0.010559
[309/5000][385/535][31626] Loss_D: -0.031875 Loss_G: 0.014142 Loss_D_real: -0.025976 Loss_D_fake 0.005899
[309/5000][390/535][31627] Loss_D: -0.033103 Loss_G: 0.018866 Loss_D_real: -0.018423 Loss_D_fake 0.014680
[309/5000][395/535][31628] Loss_D: -0.031770 Loss_G: 0.042048 Loss_D_real: -0.040047 Loss_D_fake -0.008277
[309/5000][400/535][31629] Loss_D: -0.030423 Loss_G: 0.028841 Loss_D_real: -0.025862 Loss_D_fake 0.004562
[309/5000][405/535][31630] Loss_D: -0.031070 Loss_G: 0.024861 Loss_D_real: -0.023879 Loss_D_fake 0.007191
[309/5000][410/535][31631] Loss_D: -0.032392 Loss_G: 0.014374 Loss_D_real: -0.012422 Loss_D_fake 0.019970
[309/5000][415/535][31632] Loss_D: -0.032021 Loss_G: 0.011915 Loss_D_real: -0.022047 Loss_D_fake 0.009974
[309/5000][420/535][31633] Loss_D: -0.031776 Loss_G: 0.001019 Loss_D_real: -0.017559 Loss_D_fake 0.014217
[309/5000][425/535][31634] Loss_D: -0.031720 Loss_G: 0.008794 Loss_D_real: -0.020339 Loss_D_fake 0.011381
[309/5000][430/535][31635] Loss_D: -0.031347 Loss_G: 0.016383 Loss_D_real: -0.015542 Loss_D_fake 0.015805
[309/5000][435/535][31636] Loss_D: -0.031312 Loss_G: 0.039149 Loss_D_real: -0.027801 Loss_D_fake 0.003512
[309/5000][440/535][31637] Loss_D: -0.031146 Loss_G: -0.004922 Loss_D_real: -0.003923 Loss_D_fake 0.027223
[309/5000][445/535][31638] Loss_D: -0.029930 Loss_G: 0.029891 Loss_D_real: -0.039543 Loss_D_fake -0.009613
[309/5000][450/535][31639] Loss_D: -0.031214 Loss_G: 0.007942 Loss_D_real: -0.018623 Loss_D_fake 0.012591
[309/5000][455/535][31640] Loss_D: -0.028941 Loss_G: 0.035355 Loss_D_real: -0.044433 Loss_D_fake -0.015493
[309/5000][460/535][31641] Loss_D: -0.031346 Loss_G: -0.004997 Loss_D_real: -0.007382 Loss_D_fake 0.023964
[309/5000][465/535][31642] Loss_D: -0.030913 Loss_G: 0.025350 Loss_D_real: -0.024060 Loss_D_fake 0.006853
[309/5000][470/535][31643] Loss_D: -0.030007 Loss_G: 0.000584 Loss_D_real: -0.003494 Loss_D_fake 0.026513
[309/5000][475/535][31644] Loss_D: -0.031309 Loss_G: 0.028171 Loss_D_real: -0.030591 Loss_D_fake 0.000718
[309/5000][480/535][31645] Loss_D: -0.033053 Loss_G: 0.035842 Loss_D_real: -0.025851 Loss_D_fake 0.007203
[309/5000][485/535][31646] Loss_D: -0.032770 Loss_G: -0.007458 Loss_D_real: -0.014388 Loss_D_fake 0.018383
[309/5000][490/535][31647] Loss_D: -0.030208 Loss_G: 0.026097 Loss_D_real: -0.025126 Loss_D_fake 0.005082
[309/5000][495/535][31648] Loss_D: -0.031874 Loss_G: 0.001139 Loss_D_real: -0.009613 Loss_D_fake 0.022260
[309/5000][500/535][31649] Loss_D: -0.031665 Loss_G: 0.018173 Loss_D_real: -0.013414 Loss_D_fake 0.018250
[309/5000][505/535][31650] Loss_D: -0.032698 Loss_G: 0.003947 Loss_D_real: -0.012218 Loss_D_fake 0.020480
[309/5000][510/535][31651] Loss_D: -0.032934 Loss_G: 0.012754 Loss_D_real: -0.011894 Loss_D_fake 0.021040
[309/5000][515/535][31652] Loss_D: -0.031893 Loss_G: 0.002251 Loss_D_real: -0.010896 Loss_D_fake 0.020996
[309/5000][520/535][31653] Loss_D: -0.031105 Loss_G: -0.005456 Loss_D_real: -0.006200 Loss_D_fake 0.024905
[309/5000][525/535][31654] Loss_D: -0.033287 Loss_G: 0.013319 Loss_D_real: -0.024961 Loss_D_fake 0.008326
[309/5000][530/535][31655] Loss_D: -0.031652 Loss_G: -0.007516 Loss_D_real: -0.003804 Loss_D_fake 0.027848
[309/5000][535/535][31656] Loss_D: -0.032157 Loss_G: 0.024153 Loss_D_real: -0.032145 Loss_D_fake 0.000012
[310/5000][5/535][31657] Loss_D: -0.032659 Loss_G: 0.001863 Loss_D_real: 0.000068 Loss_D_fake 0.032727
[310/5000][10/535][31658] Loss_D: -0.032265 Loss_G: 0.011218 Loss_D_real: -0.018116 Loss_D_fake 0.014150
[310/5000][15/535][31659] Loss_D: -0.031658 Loss_G: 0.033425 Loss_D_real: -0.027159 Loss_D_fake 0.004499
[310/5000][20/535][31660] Loss_D: -0.032545 Loss_G: 0.019313 Loss_D_real: -0.025190 Loss_D_fake 0.007356
[310/5000][25/535][31661] Loss_D: -0.032846 Loss_G: -0.002286 Loss_D_real: -0.005257 Loss_D_fake 0.027588
[310/5000][30/535][31662] Loss_D: -0.032725 Loss_G: 0.044196 Loss_D_real: -0.032146 Loss_D_fake 0.000579
[310/5000][35/535][31663] Loss_D: -0.031096 Loss_G: 0.013143 Loss_D_real: -0.008122 Loss_D_fake 0.022973
[310/5000][40/535][31664] Loss_D: -0.030723 Loss_G: 0.003710 Loss_D_real: -0.012508 Loss_D_fake 0.018214
[310/5000][45/535][31665] Loss_D: -0.031156 Loss_G: 0.007491 Loss_D_real: -0.018476 Loss_D_fake 0.012680
[310/5000][50/535][31666] Loss_D: -0.030927 Loss_G: 0.011239 Loss_D_real: -0.013411 Loss_D_fake 0.017516
[310/5000][55/535][31667] Loss_D: -0.032038 Loss_G: 0.034784 Loss_D_real: -0.029144 Loss_D_fake 0.002894
[310/5000][60/535][31668] Loss_D: -0.033029 Loss_G: 0.012667 Loss_D_real: -0.018718 Loss_D_fake 0.014312
[310/5000][65/535][31669] Loss_D: -0.030422 Loss_G: 0.029477 Loss_D_real: -0.026969 Loss_D_fake 0.003453
[310/5000][70/535][31670] Loss_D: -0.031104 Loss_G: 0.018872 Loss_D_real: -0.031555 Loss_D_fake -0.000450
[310/5000][75/535][31671] Loss_D: -0.033668 Loss_G: 0.017590 Loss_D_real: -0.014221 Loss_D_fake 0.019447
[310/5000][80/535][31672] Loss_D: -0.031236 Loss_G: 0.014787 Loss_D_real: -0.019794 Loss_D_fake 0.011443
[310/5000][85/535][31673] Loss_D: -0.030160 Loss_G: -0.008117 Loss_D_real: -0.006735 Loss_D_fake 0.023424
[310/5000][90/535][31674] Loss_D: -0.029453 Loss_G: 0.030854 Loss_D_real: -0.041320 Loss_D_fake -0.011867
[310/5000][95/535][31675] Loss_D: -0.032696 Loss_G: 0.011489 Loss_D_real: -0.016166 Loss_D_fake 0.016530
[310/5000][100/535][31676] Loss_D: -0.029827 Loss_G: 0.042862 Loss_D_real: -0.037717 Loss_D_fake -0.007890
[310/5000][105/535][31677] Loss_D: -0.030656 Loss_G: -0.007857 Loss_D_real: -0.004198 Loss_D_fake 0.026458
[310/5000][110/535][31678] Loss_D: -0.029561 Loss_G: 0.030275 Loss_D_real: -0.037699 Loss_D_fake -0.008137
[310/5000][115/535][31679] Loss_D: -0.031603 Loss_G: 0.019635 Loss_D_real: -0.024277 Loss_D_fake 0.007326
[310/5000][120/535][31680] Loss_D: -0.031482 Loss_G: 0.031998 Loss_D_real: -0.029844 Loss_D_fake 0.001638
[310/5000][125/535][31681] Loss_D: -0.030833 Loss_G: 0.017892 Loss_D_real: -0.025088 Loss_D_fake 0.005745
[310/5000][130/535][31682] Loss_D: -0.032363 Loss_G: 0.026469 Loss_D_real: -0.025741 Loss_D_fake 0.006621
[310/5000][135/535][31683] Loss_D: -0.028713 Loss_G: 0.039679 Loss_D_real: -0.032952 Loss_D_fake -0.004239
[310/5000][140/535][31684] Loss_D: -0.030476 Loss_G: 0.027870 Loss_D_real: -0.029368 Loss_D_fake 0.001108
[310/5000][145/535][31685] Loss_D: -0.031514 Loss_G: 0.027452 Loss_D_real: -0.034207 Loss_D_fake -0.002693
[310/5000][150/535][31686] Loss_D: -0.030421 Loss_G: 0.009407 Loss_D_real: -0.019794 Loss_D_fake 0.010628
[310/5000][155/535][31687] Loss_D: -0.032659 Loss_G: 0.027239 Loss_D_real: -0.029810 Loss_D_fake 0.002848
[310/5000][160/535][31688] Loss_D: -0.031251 Loss_G: 0.014223 Loss_D_real: -0.018849 Loss_D_fake 0.012402
[310/5000][165/535][31689] Loss_D: -0.032151 Loss_G: -0.002493 Loss_D_real: -0.019665 Loss_D_fake 0.012486
[310/5000][170/535][31690] Loss_D: -0.031146 Loss_G: 0.000231 Loss_D_real: -0.008037 Loss_D_fake 0.023109
[310/5000][175/535][31691] Loss_D: -0.029754 Loss_G: 0.032323 Loss_D_real: -0.026082 Loss_D_fake 0.003672
[310/5000][180/535][31692] Loss_D: -0.030461 Loss_G: 0.008260 Loss_D_real: -0.008981 Loss_D_fake 0.021480
[310/5000][185/535][31693] Loss_D: -0.028969 Loss_G: 0.032654 Loss_D_real: -0.038288 Loss_D_fake -0.009319
[310/5000][190/535][31694] Loss_D: -0.029438 Loss_G: 0.020961 Loss_D_real: -0.031012 Loss_D_fake -0.001573
[310/5000][195/535][31695] Loss_D: -0.031710 Loss_G: 0.022819 Loss_D_real: -0.022078 Loss_D_fake 0.009632
[310/5000][200/535][31696] Loss_D: -0.030541 Loss_G: 0.028165 Loss_D_real: -0.035492 Loss_D_fake -0.004951
[310/5000][205/535][31697] Loss_D: -0.031534 Loss_G: 0.005453 Loss_D_real: -0.016730 Loss_D_fake 0.014804
[310/5000][210/535][31698] Loss_D: -0.032395 Loss_G: 0.002394 Loss_D_real: -0.014729 Loss_D_fake 0.017666
[310/5000][215/535][31699] Loss_D: -0.032127 Loss_G: 0.031525 Loss_D_real: -0.027807 Loss_D_fake 0.004320
[310/5000][220/535][31700] Loss_D: -0.030865 Loss_G: 0.007122 Loss_D_real: -0.010455 Loss_D_fake 0.020410
[310/5000][225/535][31701] Loss_D: -0.030220 Loss_G: 0.009102 Loss_D_real: -0.017632 Loss_D_fake 0.012589
[310/5000][230/535][31702] Loss_D: -0.030984 Loss_G: 0.024346 Loss_D_real: -0.027212 Loss_D_fake 0.003772
[310/5000][235/535][31703] Loss_D: -0.031705 Loss_G: 0.018809 Loss_D_real: -0.015503 Loss_D_fake 0.016202
[310/5000][240/535][31704] Loss_D: -0.030467 Loss_G: 0.010317 Loss_D_real: -0.010041 Loss_D_fake 0.020426
[310/5000][245/535][31705] Loss_D: -0.030930 Loss_G: 0.019884 Loss_D_real: -0.021710 Loss_D_fake 0.009220
[310/5000][250/535][31706] Loss_D: -0.029448 Loss_G: 0.044672 Loss_D_real: -0.032338 Loss_D_fake -0.002890
[310/5000][255/535][31707] Loss_D: -0.031423 Loss_G: -0.006002 Loss_D_real: -0.009049 Loss_D_fake 0.022375
[310/5000][260/535][31708] Loss_D: -0.032342 Loss_G: 0.018424 Loss_D_real: -0.022512 Loss_D_fake 0.009830
[310/5000][265/535][31709] Loss_D: -0.030607 Loss_G: 0.004176 Loss_D_real: -0.009630 Loss_D_fake 0.020977
[310/5000][270/535][31710] Loss_D: -0.029755 Loss_G: 0.041105 Loss_D_real: -0.043282 Loss_D_fake -0.013526
[310/5000][275/535][31711] Loss_D: -0.032081 Loss_G: 0.015131 Loss_D_real: -0.018233 Loss_D_fake 0.013848
[310/5000][280/535][31712] Loss_D: -0.030953 Loss_G: 0.021864 Loss_D_real: -0.019329 Loss_D_fake 0.011624
[310/5000][285/535][31713] Loss_D: -0.032024 Loss_G: 0.008798 Loss_D_real: -0.013539 Loss_D_fake 0.018485
[310/5000][290/535][31714] Loss_D: -0.032213 Loss_G: 0.024132 Loss_D_real: -0.035575 Loss_D_fake -0.003362
[310/5000][295/535][31715] Loss_D: -0.031446 Loss_G: 0.042175 Loss_D_real: -0.035811 Loss_D_fake -0.004365
[310/5000][300/535][31716] Loss_D: -0.029355 Loss_G: -0.017527 Loss_D_real: -0.004315 Loss_D_fake 0.025040
[310/5000][305/535][31717] Loss_D: -0.030096 Loss_G: 0.036592 Loss_D_real: -0.029862 Loss_D_fake 0.000235
[310/5000][310/535][31718] Loss_D: -0.032502 Loss_G: 0.014496 Loss_D_real: -0.024733 Loss_D_fake 0.007769
[310/5000][315/535][31719] Loss_D: -0.031682 Loss_G: 0.018610 Loss_D_real: -0.023232 Loss_D_fake 0.008450
[310/5000][320/535][31720] Loss_D: -0.031662 Loss_G: 0.022489 Loss_D_real: -0.028120 Loss_D_fake 0.003542
[310/5000][325/535][31721] Loss_D: -0.030895 Loss_G: 0.035044 Loss_D_real: -0.030160 Loss_D_fake 0.000734
[310/5000][330/535][31722] Loss_D: -0.032421 Loss_G: -0.003700 Loss_D_real: -0.004868 Loss_D_fake 0.027552
[310/5000][335/535][31723] Loss_D: -0.030211 Loss_G: 0.021827 Loss_D_real: -0.017338 Loss_D_fake 0.012874
[310/5000][340/535][31724] Loss_D: -0.031312 Loss_G: -0.017351 Loss_D_real: 0.002205 Loss_D_fake 0.033517
[310/5000][345/535][31725] Loss_D: -0.030273 Loss_G: 0.014019 Loss_D_real: -0.020274 Loss_D_fake 0.010000
[310/5000][350/535][31726] Loss_D: -0.033539 Loss_G: 0.033136 Loss_D_real: -0.027153 Loss_D_fake 0.006386
[310/5000][355/535][31727] Loss_D: -0.031535 Loss_G: 0.016338 Loss_D_real: -0.018179 Loss_D_fake 0.013356
[310/5000][360/535][31728] Loss_D: -0.032639 Loss_G: 0.020640 Loss_D_real: -0.019472 Loss_D_fake 0.013167
[310/5000][365/535][31729] Loss_D: -0.031010 Loss_G: 0.023141 Loss_D_real: -0.020473 Loss_D_fake 0.010537
[310/5000][370/535][31730] Loss_D: -0.032888 Loss_G: -0.000660 Loss_D_real: -0.003107 Loss_D_fake 0.029781
[310/5000][375/535][31731] Loss_D: -0.031528 Loss_G: 0.037631 Loss_D_real: -0.032521 Loss_D_fake -0.000993
[310/5000][380/535][31732] Loss_D: -0.032381 Loss_G: 0.013026 Loss_D_real: -0.018483 Loss_D_fake 0.013897
[310/5000][385/535][31733] Loss_D: -0.032994 Loss_G: 0.011005 Loss_D_real: -0.023465 Loss_D_fake 0.009529
[310/5000][390/535][31734] Loss_D: -0.034773 Loss_G: 0.026003 Loss_D_real: -0.025305 Loss_D_fake 0.009468
[310/5000][395/535][31735] Loss_D: -0.031908 Loss_G: -0.008461 Loss_D_real: -0.004793 Loss_D_fake 0.027116
[310/5000][400/535][31736] Loss_D: -0.030134 Loss_G: 0.033933 Loss_D_real: -0.032877 Loss_D_fake -0.002742
[310/5000][405/535][31737] Loss_D: -0.031599 Loss_G: 0.027806 Loss_D_real: -0.028628 Loss_D_fake 0.002971
[310/5000][410/535][31738] Loss_D: -0.032484 Loss_G: 0.014056 Loss_D_real: -0.016075 Loss_D_fake 0.016409
[310/5000][415/535][31739] Loss_D: -0.032379 Loss_G: 0.019758 Loss_D_real: -0.023839 Loss_D_fake 0.008539
[310/5000][420/535][31740] Loss_D: -0.032193 Loss_G: 0.011668 Loss_D_real: -0.024510 Loss_D_fake 0.007683
[310/5000][425/535][31741] Loss_D: -0.030217 Loss_G: 0.034959 Loss_D_real: -0.041427 Loss_D_fake -0.011210
[310/5000][430/535][31742] Loss_D: -0.032038 Loss_G: 0.021615 Loss_D_real: -0.017557 Loss_D_fake 0.014481
[310/5000][435/535][31743] Loss_D: -0.032203 Loss_G: 0.029753 Loss_D_real: -0.027811 Loss_D_fake 0.004392
[310/5000][440/535][31744] Loss_D: -0.032577 Loss_G: 0.001005 Loss_D_real: -0.018829 Loss_D_fake 0.013748
[310/5000][445/535][31745] Loss_D: -0.030538 Loss_G: 0.031049 Loss_D_real: -0.023041 Loss_D_fake 0.007497
[310/5000][450/535][31746] Loss_D: -0.031105 Loss_G: 0.021519 Loss_D_real: -0.016468 Loss_D_fake 0.014636
[310/5000][455/535][31747] Loss_D: -0.030259 Loss_G: 0.031641 Loss_D_real: -0.040165 Loss_D_fake -0.009905
[310/5000][460/535][31748] Loss_D: -0.030472 Loss_G: -0.004970 Loss_D_real: -0.002366 Loss_D_fake 0.028106
[310/5000][465/535][31749] Loss_D: -0.029544 Loss_G: 0.018561 Loss_D_real: -0.017242 Loss_D_fake 0.012302
[310/5000][470/535][31750] Loss_D: -0.029958 Loss_G: 0.002863 Loss_D_real: -0.003400 Loss_D_fake 0.026557
[310/5000][475/535][31751] Loss_D: -0.031456 Loss_G: 0.016922 Loss_D_real: -0.024606 Loss_D_fake 0.006851
[310/5000][480/535][31752] Loss_D: -0.033207 Loss_G: 0.014348 Loss_D_real: -0.017837 Loss_D_fake 0.015370
[310/5000][485/535][31753] Loss_D: -0.030769 Loss_G: 0.033554 Loss_D_real: -0.029581 Loss_D_fake 0.001188
[310/5000][490/535][31754] Loss_D: -0.031185 Loss_G: 0.001580 Loss_D_real: -0.012358 Loss_D_fake 0.018827
[310/5000][495/535][31755] Loss_D: -0.031589 Loss_G: 0.001904 Loss_D_real: -0.013121 Loss_D_fake 0.018468
[310/5000][500/535][31756] Loss_D: -0.032710 Loss_G: -0.000454 Loss_D_real: -0.008303 Loss_D_fake 0.024407
[310/5000][505/535][31757] Loss_D: -0.032611 Loss_G: 0.018739 Loss_D_real: -0.015916 Loss_D_fake 0.016696
[310/5000][510/535][31758] Loss_D: -0.030754 Loss_G: 0.011511 Loss_D_real: -0.018989 Loss_D_fake 0.011764
[310/5000][515/535][31759] Loss_D: -0.030451 Loss_G: 0.044786 Loss_D_real: -0.037246 Loss_D_fake -0.006794
[310/5000][520/535][31760] Loss_D: -0.030502 Loss_G: 0.020567 Loss_D_real: -0.032543 Loss_D_fake -0.002041
[310/5000][525/535][31761] Loss_D: -0.031622 Loss_G: -0.000120 Loss_D_real: -0.003061 Loss_D_fake 0.028561
[310/5000][530/535][31762] Loss_D: -0.031236 Loss_G: 0.024739 Loss_D_real: -0.025761 Loss_D_fake 0.005475
[310/5000][535/535][31763] Loss_D: -0.029971 Loss_G: 0.026991 Loss_D_real: -0.027490 Loss_D_fake 0.002481
[311/5000][5/535][31764] Loss_D: -0.031333 Loss_G: 0.023443 Loss_D_real: -0.024035 Loss_D_fake 0.007298
[311/5000][10/535][31765] Loss_D: -0.031144 Loss_G: 0.002149 Loss_D_real: -0.009974 Loss_D_fake 0.021170
[311/5000][15/535][31766] Loss_D: -0.029378 Loss_G: 0.037757 Loss_D_real: -0.038509 Loss_D_fake -0.009131
[311/5000][20/535][31767] Loss_D: -0.030428 Loss_G: -0.006117 Loss_D_real: -0.000021 Loss_D_fake 0.030407
[311/5000][25/535][31768] Loss_D: -0.030944 Loss_G: 0.021227 Loss_D_real: -0.027323 Loss_D_fake 0.003621
[311/5000][30/535][31769] Loss_D: -0.030637 Loss_G: 0.016718 Loss_D_real: -0.023586 Loss_D_fake 0.007051
[311/5000][35/535][31770] Loss_D: -0.031133 Loss_G: -0.002235 Loss_D_real: -0.009645 Loss_D_fake 0.021489
[311/5000][40/535][31771] Loss_D: -0.029883 Loss_G: -0.000764 Loss_D_real: -0.013376 Loss_D_fake 0.016506
[311/5000][45/535][31772] Loss_D: -0.031605 Loss_G: 0.014932 Loss_D_real: -0.024918 Loss_D_fake 0.006687
[311/5000][50/535][31773] Loss_D: -0.031398 Loss_G: 0.043592 Loss_D_real: -0.032773 Loss_D_fake -0.001376
[311/5000][55/535][31774] Loss_D: -0.031035 Loss_G: 0.016390 Loss_D_real: -0.014281 Loss_D_fake 0.016753
[311/5000][60/535][31775] Loss_D: -0.032195 Loss_G: 0.005306 Loss_D_real: -0.012103 Loss_D_fake 0.020093
[311/5000][65/535][31776] Loss_D: -0.032014 Loss_G: 0.010262 Loss_D_real: -0.016524 Loss_D_fake 0.015490
[311/5000][70/535][31777] Loss_D: -0.030156 Loss_G: 0.018544 Loss_D_real: -0.014542 Loss_D_fake 0.015613
[311/5000][75/535][31778] Loss_D: -0.031942 Loss_G: 0.004790 Loss_D_real: -0.017846 Loss_D_fake 0.014095
[311/5000][80/535][31779] Loss_D: -0.031255 Loss_G: 0.022072 Loss_D_real: -0.026168 Loss_D_fake 0.005087
[311/5000][85/535][31780] Loss_D: -0.030605 Loss_G: -0.014063 Loss_D_real: 0.002874 Loss_D_fake 0.033479
[311/5000][90/535][31781] Loss_D: -0.030732 Loss_G: 0.011023 Loss_D_real: -0.017446 Loss_D_fake 0.013286
[311/5000][95/535][31782] Loss_D: -0.030458 Loss_G: 0.017845 Loss_D_real: -0.024430 Loss_D_fake 0.006029
[311/5000][100/535][31783] Loss_D: -0.031046 Loss_G: 0.021994 Loss_D_real: -0.022754 Loss_D_fake 0.008292
[311/5000][105/535][31784] Loss_D: -0.031372 Loss_G: 0.030465 Loss_D_real: -0.030335 Loss_D_fake 0.001037
[311/5000][110/535][31785] Loss_D: -0.030919 Loss_G: -0.007051 Loss_D_real: -0.001281 Loss_D_fake 0.029638
[311/5000][115/535][31786] Loss_D: -0.031726 Loss_G: 0.019659 Loss_D_real: -0.027996 Loss_D_fake 0.003730
[311/5000][120/535][31787] Loss_D: -0.031090 Loss_G: 0.019091 Loss_D_real: -0.024599 Loss_D_fake 0.006491
[311/5000][125/535][31788] Loss_D: -0.033420 Loss_G: -0.008902 Loss_D_real: -0.005073 Loss_D_fake 0.028347
[311/5000][130/535][31789] Loss_D: -0.029895 Loss_G: 0.025086 Loss_D_real: -0.030927 Loss_D_fake -0.001032
[311/5000][135/535][31790] Loss_D: -0.029618 Loss_G: 0.004991 Loss_D_real: -0.011558 Loss_D_fake 0.018060
[311/5000][140/535][31791] Loss_D: -0.031119 Loss_G: 0.013740 Loss_D_real: -0.019267 Loss_D_fake 0.011852
[311/5000][145/535][31792] Loss_D: -0.029950 Loss_G: 0.041775 Loss_D_real: -0.038901 Loss_D_fake -0.008951
[311/5000][150/535][31793] Loss_D: -0.030020 Loss_G: 0.003845 Loss_D_real: -0.004222 Loss_D_fake 0.025798
[311/5000][155/535][31794] Loss_D: -0.029758 Loss_G: 0.019835 Loss_D_real: -0.021570 Loss_D_fake 0.008188
[311/5000][160/535][31795] Loss_D: -0.031282 Loss_G: 0.034491 Loss_D_real: -0.033568 Loss_D_fake -0.002286
[311/5000][165/535][31796] Loss_D: -0.032432 Loss_G: 0.021848 Loss_D_real: -0.023484 Loss_D_fake 0.008948
[311/5000][170/535][31797] Loss_D: -0.029581 Loss_G: 0.013742 Loss_D_real: -0.020661 Loss_D_fake 0.008919
[311/5000][175/535][31798] Loss_D: -0.032192 Loss_G: 0.011342 Loss_D_real: -0.009187 Loss_D_fake 0.023005
[311/5000][180/535][31799] Loss_D: -0.032080 Loss_G: 0.008314 Loss_D_real: -0.017220 Loss_D_fake 0.014860
[311/5000][185/535][31800] Loss_D: -0.030834 Loss_G: 0.032786 Loss_D_real: -0.039520 Loss_D_fake -0.008686
[311/5000][190/535][31801] Loss_D: -0.031968 Loss_G: 0.016008 Loss_D_real: -0.029092 Loss_D_fake 0.002876
[311/5000][195/535][31802] Loss_D: -0.032420 Loss_G: 0.019929 Loss_D_real: -0.023813 Loss_D_fake 0.008607
[311/5000][200/535][31803] Loss_D: -0.031337 Loss_G: 0.025931 Loss_D_real: -0.023484 Loss_D_fake 0.007853
[311/5000][205/535][31804] Loss_D: -0.030980 Loss_G: 0.002321 Loss_D_real: -0.012028 Loss_D_fake 0.018952
[311/5000][210/535][31805] Loss_D: -0.031223 Loss_G: 0.011868 Loss_D_real: -0.030202 Loss_D_fake 0.001020
[311/5000][215/535][31806] Loss_D: -0.030195 Loss_G: 0.025329 Loss_D_real: -0.032374 Loss_D_fake -0.002179
[311/5000][220/535][31807] Loss_D: -0.029781 Loss_G: 0.041926 Loss_D_real: -0.034843 Loss_D_fake -0.005062
[311/5000][225/535][31808] Loss_D: -0.030852 Loss_G: 0.028865 Loss_D_real: -0.024021 Loss_D_fake 0.006831
[311/5000][230/535][31809] Loss_D: -0.031184 Loss_G: -0.003675 Loss_D_real: -0.011898 Loss_D_fake 0.019287
[311/5000][235/535][31810] Loss_D: -0.030538 Loss_G: 0.025228 Loss_D_real: -0.024688 Loss_D_fake 0.005850
[311/5000][240/535][31811] Loss_D: -0.031438 Loss_G: 0.001612 Loss_D_real: -0.001941 Loss_D_fake 0.029497
[311/5000][245/535][31812] Loss_D: -0.030337 Loss_G: 0.039161 Loss_D_real: -0.032101 Loss_D_fake -0.001765
[311/5000][250/535][31813] Loss_D: -0.029468 Loss_G: -0.011974 Loss_D_real: 0.001153 Loss_D_fake 0.030621
[311/5000][255/535][31814] Loss_D: -0.031286 Loss_G: 0.001710 Loss_D_real: -0.014929 Loss_D_fake 0.016357
[311/5000][260/535][31815] Loss_D: -0.030324 Loss_G: 0.023281 Loss_D_real: -0.020997 Loss_D_fake 0.009327
[311/5000][265/535][31816] Loss_D: -0.030473 Loss_G: 0.020355 Loss_D_real: -0.028299 Loss_D_fake 0.002175
[311/5000][270/535][31817] Loss_D: -0.030414 Loss_G: 0.032387 Loss_D_real: -0.028373 Loss_D_fake 0.002041
[311/5000][275/535][31818] Loss_D: -0.029488 Loss_G: 0.041028 Loss_D_real: -0.039523 Loss_D_fake -0.010035
[311/5000][280/535][31819] Loss_D: -0.030613 Loss_G: 0.001642 Loss_D_real: -0.009031 Loss_D_fake 0.021582
[311/5000][285/535][31820] Loss_D: -0.031388 Loss_G: 0.023319 Loss_D_real: -0.027787 Loss_D_fake 0.003601
[311/5000][290/535][31821] Loss_D: -0.031545 Loss_G: 0.045313 Loss_D_real: -0.036261 Loss_D_fake -0.004716
[311/5000][295/535][31822] Loss_D: -0.031186 Loss_G: -0.011091 Loss_D_real: -0.001099 Loss_D_fake 0.030087
[311/5000][300/535][31823] Loss_D: -0.030661 Loss_G: 0.035718 Loss_D_real: -0.039114 Loss_D_fake -0.008452
[311/5000][305/535][31824] Loss_D: -0.032556 Loss_G: 0.014591 Loss_D_real: -0.026830 Loss_D_fake 0.005726
[311/5000][310/535][31825] Loss_D: -0.032140 Loss_G: 0.024945 Loss_D_real: -0.022884 Loss_D_fake 0.009255
[311/5000][315/535][31826] Loss_D: -0.032620 Loss_G: 0.010921 Loss_D_real: -0.017908 Loss_D_fake 0.014713
[311/5000][320/535][31827] Loss_D: -0.032440 Loss_G: 0.025044 Loss_D_real: -0.022032 Loss_D_fake 0.010408
[311/5000][325/535][31828] Loss_D: -0.029723 Loss_G: -0.017111 Loss_D_real: 0.005330 Loss_D_fake 0.035053
[311/5000][330/535][31829] Loss_D: -0.031336 Loss_G: 0.020453 Loss_D_real: -0.025989 Loss_D_fake 0.005347
[311/5000][335/535][31830] Loss_D: -0.030633 Loss_G: 0.033933 Loss_D_real: -0.043172 Loss_D_fake -0.012540
[311/5000][340/535][31831] Loss_D: -0.031176 Loss_G: -0.001459 Loss_D_real: -0.000467 Loss_D_fake 0.030709
[311/5000][345/535][31832] Loss_D: -0.032141 Loss_G: 0.010972 Loss_D_real: -0.023373 Loss_D_fake 0.008768
[311/5000][350/535][31833] Loss_D: -0.032381 Loss_G: 0.014847 Loss_D_real: -0.011934 Loss_D_fake 0.020448
[311/5000][355/535][31834] Loss_D: -0.032489 Loss_G: 0.007912 Loss_D_real: -0.020256 Loss_D_fake 0.012233
[311/5000][360/535][31835] Loss_D: -0.033139 Loss_G: 0.016259 Loss_D_real: -0.017558 Loss_D_fake 0.015581
[311/5000][365/535][31836] Loss_D: -0.032312 Loss_G: 0.012721 Loss_D_real: -0.013013 Loss_D_fake 0.019299
[311/5000][370/535][31837] Loss_D: -0.033188 Loss_G: 0.028681 Loss_D_real: -0.027820 Loss_D_fake 0.005369
[311/5000][375/535][31838] Loss_D: -0.032216 Loss_G: 0.007985 Loss_D_real: -0.020717 Loss_D_fake 0.011499
[311/5000][380/535][31839] Loss_D: -0.031464 Loss_G: 0.034461 Loss_D_real: -0.036293 Loss_D_fake -0.004829
[311/5000][385/535][31840] Loss_D: -0.031956 Loss_G: 0.026575 Loss_D_real: -0.024595 Loss_D_fake 0.007361
[311/5000][390/535][31841] Loss_D: -0.031318 Loss_G: 0.008301 Loss_D_real: -0.007948 Loss_D_fake 0.023370
[311/5000][395/535][31842] Loss_D: -0.032004 Loss_G: 0.023942 Loss_D_real: -0.029998 Loss_D_fake 0.002006
[311/5000][400/535][31843] Loss_D: -0.031845 Loss_G: 0.010296 Loss_D_real: -0.020176 Loss_D_fake 0.011669
[311/5000][405/535][31844] Loss_D: -0.030698 Loss_G: 0.023107 Loss_D_real: -0.019467 Loss_D_fake 0.011231
[311/5000][410/535][31845] Loss_D: -0.030757 Loss_G: -0.011378 Loss_D_real: -0.001171 Loss_D_fake 0.029586
[311/5000][415/535][31846] Loss_D: -0.031435 Loss_G: 0.021263 Loss_D_real: -0.026594 Loss_D_fake 0.004841
[311/5000][420/535][31847] Loss_D: -0.031927 Loss_G: 0.025465 Loss_D_real: -0.028277 Loss_D_fake 0.003650
[311/5000][425/535][31848] Loss_D: -0.034164 Loss_G: 0.022286 Loss_D_real: -0.017877 Loss_D_fake 0.016287
[311/5000][430/535][31849] Loss_D: -0.031346 Loss_G: -0.004612 Loss_D_real: -0.005908 Loss_D_fake 0.025439
[311/5000][435/535][31850] Loss_D: -0.030505 Loss_G: 0.042955 Loss_D_real: -0.039733 Loss_D_fake -0.009228
[311/5000][440/535][31851] Loss_D: -0.030996 Loss_G: 0.004024 Loss_D_real: -0.015967 Loss_D_fake 0.015029
[311/5000][445/535][31852] Loss_D: -0.032794 Loss_G: 0.018451 Loss_D_real: -0.016758 Loss_D_fake 0.016036
[311/5000][450/535][31853] Loss_D: -0.031747 Loss_G: 0.005084 Loss_D_real: -0.009969 Loss_D_fake 0.021778
[311/5000][455/535][31854] Loss_D: -0.030649 Loss_G: 0.004848 Loss_D_real: -0.019821 Loss_D_fake 0.010829
[311/5000][460/535][31855] Loss_D: -0.031152 Loss_G: 0.039444 Loss_D_real: -0.034494 Loss_D_fake -0.003342
[311/5000][465/535][31856] Loss_D: -0.032093 Loss_G: 0.007808 Loss_D_real: -0.014976 Loss_D_fake 0.017116
[311/5000][470/535][31857] Loss_D: -0.032407 Loss_G: 0.024134 Loss_D_real: -0.027994 Loss_D_fake 0.004412
[311/5000][475/535][31858] Loss_D: -0.032129 Loss_G: 0.023024 Loss_D_real: -0.029774 Loss_D_fake 0.002355
[311/5000][480/535][31859] Loss_D: -0.033560 Loss_G: 0.003410 Loss_D_real: -0.008885 Loss_D_fake 0.024676
[311/5000][485/535][31860] Loss_D: -0.032378 Loss_G: 0.029463 Loss_D_real: -0.025957 Loss_D_fake 0.006421
[311/5000][490/535][31861] Loss_D: -0.030870 Loss_G: -0.003196 Loss_D_real: -0.003340 Loss_D_fake 0.027530
[311/5000][495/535][31862] Loss_D: -0.030075 Loss_G: 0.012444 Loss_D_real: -0.015354 Loss_D_fake 0.014722
[311/5000][500/535][31863] Loss_D: -0.031189 Loss_G: 0.033306 Loss_D_real: -0.033738 Loss_D_fake -0.002549
[311/5000][505/535][31864] Loss_D: -0.030905 Loss_G: -0.000237 Loss_D_real: -0.007365 Loss_D_fake 0.023539
[311/5000][510/535][31865] Loss_D: -0.030966 Loss_G: 0.023415 Loss_D_real: -0.028921 Loss_D_fake 0.002045
[311/5000][515/535][31866] Loss_D: -0.030577 Loss_G: -0.010623 Loss_D_real: -0.001653 Loss_D_fake 0.028924
[311/5000][520/535][31867] Loss_D: -0.030636 Loss_G: 0.012079 Loss_D_real: -0.013698 Loss_D_fake 0.016938
[311/5000][525/535][31868] Loss_D: -0.032880 Loss_G: 0.021658 Loss_D_real: -0.020077 Loss_D_fake 0.012803
[311/5000][530/535][31869] Loss_D: -0.031025 Loss_G: 0.025118 Loss_D_real: -0.024397 Loss_D_fake 0.006628
[311/5000][535/535][31870] Loss_D: -0.029402 Loss_G: -0.002156 Loss_D_real: -0.015283 Loss_D_fake 0.014119
[312/5000][5/535][31871] Loss_D: -0.031311 Loss_G: 0.030971 Loss_D_real: -0.027720 Loss_D_fake 0.003590
[312/5000][10/535][31872] Loss_D: -0.031538 Loss_G: 0.019785 Loss_D_real: -0.011609 Loss_D_fake 0.019929
[312/5000][15/535][31873] Loss_D: -0.030774 Loss_G: 0.032801 Loss_D_real: -0.025827 Loss_D_fake 0.004947
[312/5000][20/535][31874] Loss_D: -0.030986 Loss_G: 0.005174 Loss_D_real: -0.010888 Loss_D_fake 0.020099
[312/5000][25/535][31875] Loss_D: -0.030913 Loss_G: 0.031281 Loss_D_real: -0.033345 Loss_D_fake -0.002432
[312/5000][30/535][31876] Loss_D: -0.031886 Loss_G: 0.017141 Loss_D_real: -0.016109 Loss_D_fake 0.015778
[312/5000][35/535][31877] Loss_D: -0.031072 Loss_G: -0.005281 Loss_D_real: -0.005507 Loss_D_fake 0.025565
[312/5000][40/535][31878] Loss_D: -0.031236 Loss_G: 0.034456 Loss_D_real: -0.039097 Loss_D_fake -0.007862
[312/5000][45/535][31879] Loss_D: -0.031340 Loss_G: 0.024455 Loss_D_real: -0.029868 Loss_D_fake 0.001472
[312/5000][50/535][31880] Loss_D: -0.031605 Loss_G: 0.039603 Loss_D_real: -0.028746 Loss_D_fake 0.002859
[312/5000][55/535][31881] Loss_D: -0.030920 Loss_G: 0.012623 Loss_D_real: -0.020645 Loss_D_fake 0.010275
[312/5000][60/535][31882] Loss_D: -0.029919 Loss_G: 0.005555 Loss_D_real: -0.015368 Loss_D_fake 0.014551
[312/5000][65/535][31883] Loss_D: -0.030853 Loss_G: 0.015143 Loss_D_real: -0.024954 Loss_D_fake 0.005899
[312/5000][70/535][31884] Loss_D: -0.031477 Loss_G: 0.018784 Loss_D_real: -0.020946 Loss_D_fake 0.010531
[312/5000][75/535][31885] Loss_D: -0.030380 Loss_G: 0.014016 Loss_D_real: -0.021192 Loss_D_fake 0.009187
[312/5000][80/535][31886] Loss_D: -0.032258 Loss_G: 0.013505 Loss_D_real: -0.020250 Loss_D_fake 0.012008
[312/5000][85/535][31887] Loss_D: -0.032262 Loss_G: 0.015390 Loss_D_real: -0.018874 Loss_D_fake 0.013388
[312/5000][90/535][31888] Loss_D: -0.032202 Loss_G: 0.005007 Loss_D_real: -0.018992 Loss_D_fake 0.013210
[312/5000][95/535][31889] Loss_D: -0.029958 Loss_G: 0.038397 Loss_D_real: -0.036355 Loss_D_fake -0.006398
[312/5000][100/535][31890] Loss_D: -0.029522 Loss_G: -0.014364 Loss_D_real: 0.002756 Loss_D_fake 0.032278
[312/5000][105/535][31891] Loss_D: -0.030299 Loss_G: 0.022509 Loss_D_real: -0.026185 Loss_D_fake 0.004114
[312/5000][110/535][31892] Loss_D: -0.030957 Loss_G: 0.035597 Loss_D_real: -0.033538 Loss_D_fake -0.002581
[312/5000][115/535][31893] Loss_D: -0.030931 Loss_G: 0.022072 Loss_D_real: -0.021859 Loss_D_fake 0.009072
[312/5000][120/535][31894] Loss_D: -0.030531 Loss_G: -0.012801 Loss_D_real: -0.002835 Loss_D_fake 0.027695
[312/5000][125/535][31895] Loss_D: -0.029039 Loss_G: 0.033986 Loss_D_real: -0.034903 Loss_D_fake -0.005864
[312/5000][130/535][31896] Loss_D: -0.031185 Loss_G: 0.009819 Loss_D_real: -0.015022 Loss_D_fake 0.016163
[312/5000][135/535][31897] Loss_D: -0.030330 Loss_G: 0.036922 Loss_D_real: -0.033955 Loss_D_fake -0.003624
[312/5000][140/535][31898] Loss_D: -0.032778 Loss_G: 0.015505 Loss_D_real: -0.016200 Loss_D_fake 0.016578
[312/5000][145/535][31899] Loss_D: -0.031163 Loss_G: 0.032847 Loss_D_real: -0.037545 Loss_D_fake -0.006382
[312/5000][150/535][31900] Loss_D: -0.030490 Loss_G: -0.001471 Loss_D_real: -0.013080 Loss_D_fake 0.017410
[312/5000][155/535][31901] Loss_D: -0.031363 Loss_G: -0.001269 Loss_D_real: -0.016105 Loss_D_fake 0.015258
[312/5000][160/535][31902] Loss_D: -0.029414 Loss_G: 0.034091 Loss_D_real: -0.040878 Loss_D_fake -0.011464
[312/5000][165/535][31903] Loss_D: -0.030704 Loss_G: 0.027297 Loss_D_real: -0.032082 Loss_D_fake -0.001378
[312/5000][170/535][31904] Loss_D: -0.030909 Loss_G: 0.027859 Loss_D_real: -0.028398 Loss_D_fake 0.002511
[312/5000][175/535][31905] Loss_D: -0.031153 Loss_G: 0.016028 Loss_D_real: -0.022025 Loss_D_fake 0.009128
[312/5000][180/535][31906] Loss_D: -0.028966 Loss_G: 0.023721 Loss_D_real: -0.031047 Loss_D_fake -0.002081
[312/5000][185/535][31907] Loss_D: -0.029694 Loss_G: -0.010986 Loss_D_real: -0.003988 Loss_D_fake 0.025706
[312/5000][190/535][31908] Loss_D: -0.031000 Loss_G: 0.035746 Loss_D_real: -0.038780 Loss_D_fake -0.007780
[312/5000][195/535][31909] Loss_D: -0.029822 Loss_G: -0.004037 Loss_D_real: -0.002777 Loss_D_fake 0.027045
[312/5000][200/535][31910] Loss_D: -0.030293 Loss_G: 0.009007 Loss_D_real: -0.022876 Loss_D_fake 0.007417
[312/5000][205/535][31911] Loss_D: -0.031428 Loss_G: 0.018850 Loss_D_real: -0.019292 Loss_D_fake 0.012136
[312/5000][210/535][31912] Loss_D: -0.031490 Loss_G: 0.021174 Loss_D_real: -0.034770 Loss_D_fake -0.003280
[312/5000][215/535][31913] Loss_D: -0.030578 Loss_G: 0.036418 Loss_D_real: -0.029530 Loss_D_fake 0.001048
[312/5000][220/535][31914] Loss_D: -0.031047 Loss_G: 0.022737 Loss_D_real: -0.020621 Loss_D_fake 0.010425
[312/5000][225/535][31915] Loss_D: -0.029894 Loss_G: 0.002365 Loss_D_real: -0.007492 Loss_D_fake 0.022402
[312/5000][230/535][31916] Loss_D: -0.031045 Loss_G: 0.018898 Loss_D_real: -0.024641 Loss_D_fake 0.006404
[312/5000][235/535][31917] Loss_D: -0.030039 Loss_G: 0.020962 Loss_D_real: -0.020674 Loss_D_fake 0.009365
[312/5000][240/535][31918] Loss_D: -0.031078 Loss_G: 0.009231 Loss_D_real: -0.022425 Loss_D_fake 0.008653
[312/5000][245/535][31919] Loss_D: -0.031487 Loss_G: 0.026462 Loss_D_real: -0.025653 Loss_D_fake 0.005833
[312/5000][250/535][31920] Loss_D: -0.031906 Loss_G: 0.016030 Loss_D_real: -0.017574 Loss_D_fake 0.014332
[312/5000][255/535][31921] Loss_D: -0.032513 Loss_G: 0.006555 Loss_D_real: -0.014777 Loss_D_fake 0.017736
[312/5000][260/535][31922] Loss_D: -0.031818 Loss_G: 0.038589 Loss_D_real: -0.038551 Loss_D_fake -0.006733
[312/5000][265/535][31923] Loss_D: -0.031672 Loss_G: 0.008932 Loss_D_real: -0.014134 Loss_D_fake 0.017538
[312/5000][270/535][31924] Loss_D: -0.031321 Loss_G: 0.034114 Loss_D_real: -0.028721 Loss_D_fake 0.002600
[312/5000][275/535][31925] Loss_D: -0.032609 Loss_G: 0.029166 Loss_D_real: -0.023457 Loss_D_fake 0.009151
[312/5000][280/535][31926] Loss_D: -0.033485 Loss_G: 0.017467 Loss_D_real: -0.023177 Loss_D_fake 0.010308
[312/5000][285/535][31927] Loss_D: -0.032326 Loss_G: 0.004408 Loss_D_real: -0.014933 Loss_D_fake 0.017393
[312/5000][290/535][31928] Loss_D: -0.031162 Loss_G: 0.025910 Loss_D_real: -0.033390 Loss_D_fake -0.002228
[312/5000][295/535][31929] Loss_D: -0.033985 Loss_G: 0.022230 Loss_D_real: -0.029875 Loss_D_fake 0.004110
[312/5000][300/535][31930] Loss_D: -0.030316 Loss_G: 0.043483 Loss_D_real: -0.044708 Loss_D_fake -0.014392
[312/5000][305/535][31931] Loss_D: -0.030984 Loss_G: -0.008181 Loss_D_real: -0.002740 Loss_D_fake 0.028244
[312/5000][310/535][31932] Loss_D: -0.031806 Loss_G: 0.010375 Loss_D_real: -0.023308 Loss_D_fake 0.008499
[312/5000][315/535][31933] Loss_D: -0.030303 Loss_G: 0.012762 Loss_D_real: -0.027391 Loss_D_fake 0.002911
[312/5000][320/535][31934] Loss_D: -0.032460 Loss_G: 0.018249 Loss_D_real: -0.021193 Loss_D_fake 0.011267
[312/5000][325/535][31935] Loss_D: -0.031125 Loss_G: 0.032385 Loss_D_real: -0.030170 Loss_D_fake 0.000955
[312/5000][330/535][31936] Loss_D: -0.032338 Loss_G: 0.009398 Loss_D_real: -0.010620 Loss_D_fake 0.021719
[312/5000][335/535][31937] Loss_D: -0.032918 Loss_G: 0.031044 Loss_D_real: -0.037898 Loss_D_fake -0.004981
[312/5000][340/535][31938] Loss_D: -0.031770 Loss_G: 0.014028 Loss_D_real: -0.009461 Loss_D_fake 0.022309
[312/5000][345/535][31939] Loss_D: -0.030159 Loss_G: 0.022272 Loss_D_real: -0.012118 Loss_D_fake 0.018041
[312/5000][350/535][31940] Loss_D: -0.032397 Loss_G: 0.015526 Loss_D_real: -0.015682 Loss_D_fake 0.016715
[312/5000][355/535][31941] Loss_D: -0.030612 Loss_G: 0.029062 Loss_D_real: -0.033788 Loss_D_fake -0.003176
[312/5000][360/535][31942] Loss_D: -0.032094 Loss_G: 0.007238 Loss_D_real: -0.011257 Loss_D_fake 0.020838
[312/5000][365/535][31943] Loss_D: -0.031346 Loss_G: -0.008408 Loss_D_real: -0.010272 Loss_D_fake 0.021073
[312/5000][370/535][31944] Loss_D: -0.029117 Loss_G: 0.036736 Loss_D_real: -0.032582 Loss_D_fake -0.003465
[312/5000][375/535][31945] Loss_D: -0.032292 Loss_G: 0.002002 Loss_D_real: -0.008932 Loss_D_fake 0.023360
[312/5000][380/535][31946] Loss_D: -0.030327 Loss_G: 0.025546 Loss_D_real: -0.026715 Loss_D_fake 0.003612
[312/5000][385/535][31947] Loss_D: -0.029955 Loss_G: 0.018109 Loss_D_real: -0.016252 Loss_D_fake 0.013703
[312/5000][390/535][31948] Loss_D: -0.031629 Loss_G: 0.007401 Loss_D_real: -0.013973 Loss_D_fake 0.017656
[312/5000][395/535][31949] Loss_D: -0.031820 Loss_G: 0.025340 Loss_D_real: -0.031388 Loss_D_fake 0.000432
[312/5000][400/535][31950] Loss_D: -0.032308 Loss_G: 0.014555 Loss_D_real: -0.017963 Loss_D_fake 0.014345
[312/5000][405/535][31951] Loss_D: -0.032348 Loss_G: 0.018222 Loss_D_real: -0.023651 Loss_D_fake 0.008697
[312/5000][410/535][31952] Loss_D: -0.034409 Loss_G: 0.006849 Loss_D_real: -0.019441 Loss_D_fake 0.014968
[312/5000][415/535][31953] Loss_D: -0.032537 Loss_G: 0.008430 Loss_D_real: -0.016968 Loss_D_fake 0.015570
[312/5000][420/535][31954] Loss_D: -0.031105 Loss_G: 0.026896 Loss_D_real: -0.017514 Loss_D_fake 0.013590
[312/5000][425/535][31955] Loss_D: -0.030991 Loss_G: 0.028720 Loss_D_real: -0.023898 Loss_D_fake 0.007093
[312/5000][430/535][31956] Loss_D: -0.031035 Loss_G: -0.002975 Loss_D_real: -0.002163 Loss_D_fake 0.028873
[312/5000][435/535][31957] Loss_D: -0.031384 Loss_G: 0.035251 Loss_D_real: -0.032912 Loss_D_fake -0.001528
[312/5000][440/535][31958] Loss_D: -0.030054 Loss_G: 0.021032 Loss_D_real: -0.023997 Loss_D_fake 0.006057
[312/5000][445/535][31959] Loss_D: -0.033771 Loss_G: 0.010712 Loss_D_real: -0.016296 Loss_D_fake 0.017475
[312/5000][450/535][31960] Loss_D: -0.031124 Loss_G: 0.026211 Loss_D_real: -0.022480 Loss_D_fake 0.008644
[312/5000][455/535][31961] Loss_D: -0.030357 Loss_G: 0.014405 Loss_D_real: -0.022743 Loss_D_fake 0.007615
[312/5000][460/535][31962] Loss_D: -0.028610 Loss_G: 0.029104 Loss_D_real: -0.025550 Loss_D_fake 0.003060
[312/5000][465/535][31963] Loss_D: -0.031720 Loss_G: -0.022170 Loss_D_real: -0.009039 Loss_D_fake 0.022681
[312/5000][470/535][31964] Loss_D: -0.031029 Loss_G: 0.024433 Loss_D_real: -0.024640 Loss_D_fake 0.006389
[312/5000][475/535][31965] Loss_D: -0.029382 Loss_G: 0.010432 Loss_D_real: -0.012793 Loss_D_fake 0.016589
[312/5000][480/535][31966] Loss_D: -0.029665 Loss_G: 0.039976 Loss_D_real: -0.037971 Loss_D_fake -0.008306
[312/5000][485/535][31967] Loss_D: -0.030848 Loss_G: -0.004736 Loss_D_real: -0.001718 Loss_D_fake 0.029129
[312/5000][490/535][31968] Loss_D: -0.029125 Loss_G: 0.037696 Loss_D_real: -0.033588 Loss_D_fake -0.004463
[312/5000][495/535][31969] Loss_D: -0.029960 Loss_G: -0.004827 Loss_D_real: -0.002112 Loss_D_fake 0.027848
[312/5000][500/535][31970] Loss_D: -0.030164 Loss_G: 0.011438 Loss_D_real: -0.019457 Loss_D_fake 0.010707
[312/5000][505/535][31971] Loss_D: -0.030943 Loss_G: 0.030622 Loss_D_real: -0.021771 Loss_D_fake 0.009172
[312/5000][510/535][31972] Loss_D: -0.032325 Loss_G: 0.011858 Loss_D_real: -0.018028 Loss_D_fake 0.014297
[312/5000][515/535][31973] Loss_D: -0.031971 Loss_G: 0.030480 Loss_D_real: -0.033147 Loss_D_fake -0.001176
[312/5000][520/535][31974] Loss_D: -0.030710 Loss_G: 0.009880 Loss_D_real: -0.014244 Loss_D_fake 0.016466
[312/5000][525/535][31975] Loss_D: -0.032317 Loss_G: 0.013455 Loss_D_real: -0.013968 Loss_D_fake 0.018349
[312/5000][530/535][31976] Loss_D: -0.031800 Loss_G: 0.020104 Loss_D_real: -0.025002 Loss_D_fake 0.006798
[312/5000][535/535][31977] Loss_D: -0.031292 Loss_G: -0.016503 Loss_D_real: -0.008279 Loss_D_fake 0.023013
[313/5000][5/535][31978] Loss_D: -0.031731 Loss_G: 0.038871 Loss_D_real: -0.029156 Loss_D_fake 0.002575
[313/5000][10/535][31979] Loss_D: -0.030974 Loss_G: 0.011803 Loss_D_real: -0.006850 Loss_D_fake 0.024123
[313/5000][15/535][31980] Loss_D: -0.030778 Loss_G: 0.020525 Loss_D_real: -0.025645 Loss_D_fake 0.005133
[313/5000][20/535][31981] Loss_D: -0.031018 Loss_G: 0.001909 Loss_D_real: -0.011823 Loss_D_fake 0.019194
[313/5000][25/535][31982] Loss_D: -0.030329 Loss_G: 0.021358 Loss_D_real: -0.027864 Loss_D_fake 0.002464
[313/5000][30/535][31983] Loss_D: -0.031968 Loss_G: 0.006205 Loss_D_real: -0.012779 Loss_D_fake 0.019189
[313/5000][35/535][31984] Loss_D: -0.031341 Loss_G: 0.017362 Loss_D_real: -0.011876 Loss_D_fake 0.019465
[313/5000][40/535][31985] Loss_D: -0.031571 Loss_G: 0.016475 Loss_D_real: -0.022442 Loss_D_fake 0.009128
[313/5000][45/535][31986] Loss_D: -0.031284 Loss_G: 0.025043 Loss_D_real: -0.030453 Loss_D_fake 0.000831
[313/5000][50/535][31987] Loss_D: -0.029352 Loss_G: 0.042979 Loss_D_real: -0.040341 Loss_D_fake -0.010989
[313/5000][55/535][31988] Loss_D: -0.032070 Loss_G: -0.002061 Loss_D_real: -0.006595 Loss_D_fake 0.025475
[313/5000][60/535][31989] Loss_D: -0.030470 Loss_G: 0.028905 Loss_D_real: -0.026317 Loss_D_fake 0.004152
[313/5000][65/535][31990] Loss_D: -0.030205 Loss_G: -0.008761 Loss_D_real: -0.005605 Loss_D_fake 0.024600
[313/5000][70/535][31991] Loss_D: -0.031494 Loss_G: 0.015018 Loss_D_real: -0.017728 Loss_D_fake 0.013767
[313/5000][75/535][31992] Loss_D: -0.031378 Loss_G: 0.013842 Loss_D_real: -0.016657 Loss_D_fake 0.014721
[313/5000][80/535][31993] Loss_D: -0.033298 Loss_G: 0.031739 Loss_D_real: -0.036001 Loss_D_fake -0.002704
[313/5000][85/535][31994] Loss_D: -0.032362 Loss_G: 0.025355 Loss_D_real: -0.017716 Loss_D_fake 0.014646
[313/5000][90/535][31995] Loss_D: -0.032849 Loss_G: 0.013428 Loss_D_real: -0.024090 Loss_D_fake 0.008759
[313/5000][95/535][31996] Loss_D: -0.032937 Loss_G: 0.018922 Loss_D_real: -0.020041 Loss_D_fake 0.012896
[313/5000][100/535][31997] Loss_D: -0.033839 Loss_G: 0.024182 Loss_D_real: -0.026158 Loss_D_fake 0.007681
[313/5000][105/535][31998] Loss_D: -0.030933 Loss_G: 0.011955 Loss_D_real: -0.009446 Loss_D_fake 0.021487
[313/5000][110/535][31999] Loss_D: -0.030697 Loss_G: 0.007664 Loss_D_real: -0.022006 Loss_D_fake 0.008692
[313/5000][115/535][32000] Loss_D: -0.031195 Loss_G: 0.017221 Loss_D_real: -0.019684 Loss_D_fake 0.011511
[313/5000][215/535][32001] Loss_D: -0.033657 Loss_G: -0.005472 Loss_D_real: 0.002129 Loss_D_fake 0.035787
[313/5000][220/535][32002] Loss_D: -0.033193 Loss_G: 0.023576 Loss_D_real: -0.020118 Loss_D_fake 0.013074
[313/5000][225/535][32003] Loss_D: -0.028627 Loss_G: 0.012952 Loss_D_real: -0.011317 Loss_D_fake 0.017310
[313/5000][230/535][32004] Loss_D: -0.028897 Loss_G: 0.018813 Loss_D_real: -0.020525 Loss_D_fake 0.008372
[313/5000][235/535][32005] Loss_D: -0.031279 Loss_G: 0.015515 Loss_D_real: -0.009261 Loss_D_fake 0.022018
[313/5000][240/535][32006] Loss_D: -0.028955 Loss_G: 0.015193 Loss_D_real: -0.023304 Loss_D_fake 0.005651
[313/5000][245/535][32007] Loss_D: -0.030003 Loss_G: 0.026196 Loss_D_real: -0.022987 Loss_D_fake 0.007016
[313/5000][250/535][32008] Loss_D: -0.031056 Loss_G: -0.001784 Loss_D_real: -0.004540 Loss_D_fake 0.026515
[313/5000][255/535][32009] Loss_D: -0.030542 Loss_G: 0.018578 Loss_D_real: -0.021455 Loss_D_fake 0.009087
[313/5000][260/535][32010] Loss_D: -0.031261 Loss_G: -0.002820 Loss_D_real: -0.011244 Loss_D_fake 0.020017
[313/5000][265/535][32011] Loss_D: -0.030062 Loss_G: 0.024722 Loss_D_real: -0.028982 Loss_D_fake 0.001080
[313/5000][270/535][32012] Loss_D: -0.031211 Loss_G: 0.030119 Loss_D_real: -0.026274 Loss_D_fake 0.004937
[313/5000][275/535][32013] Loss_D: -0.031668 Loss_G: 0.007249 Loss_D_real: -0.019372 Loss_D_fake 0.012296
[313/5000][280/535][32014] Loss_D: -0.030572 Loss_G: 0.002653 Loss_D_real: -0.005813 Loss_D_fake 0.024759
[313/5000][285/535][32015] Loss_D: -0.029305 Loss_G: 0.040783 Loss_D_real: -0.039334 Loss_D_fake -0.010029
[313/5000][290/535][32016] Loss_D: -0.032043 Loss_G: 0.005624 Loss_D_real: -0.015357 Loss_D_fake 0.016686
[313/5000][295/535][32017] Loss_D: -0.031082 Loss_G: -0.000264 Loss_D_real: -0.017468 Loss_D_fake 0.013614
[313/5000][300/535][32018] Loss_D: -0.031434 Loss_G: -0.001378 Loss_D_real: -0.010355 Loss_D_fake 0.021079
[313/5000][305/535][32019] Loss_D: -0.030305 Loss_G: 0.031364 Loss_D_real: -0.030838 Loss_D_fake -0.000533
[313/5000][310/535][32020] Loss_D: -0.029783 Loss_G: -0.011030 Loss_D_real: -0.004538 Loss_D_fake 0.025245
[313/5000][315/535][32021] Loss_D: -0.029804 Loss_G: 0.016547 Loss_D_real: -0.028213 Loss_D_fake 0.001591
[313/5000][320/535][32022] Loss_D: -0.031360 Loss_G: 0.002502 Loss_D_real: -0.005888 Loss_D_fake 0.025472
[313/5000][325/535][32023] Loss_D: -0.031015 Loss_G: 0.007298 Loss_D_real: -0.017449 Loss_D_fake 0.013566
[313/5000][330/535][32024] Loss_D: -0.030502 Loss_G: 0.026138 Loss_D_real: -0.023144 Loss_D_fake 0.007357
[313/5000][335/535][32025] Loss_D: -0.031912 Loss_G: 0.007454 Loss_D_real: -0.018244 Loss_D_fake 0.013669
[313/5000][340/535][32026] Loss_D: -0.031532 Loss_G: 0.019448 Loss_D_real: -0.026445 Loss_D_fake 0.005087
[313/5000][345/535][32027] Loss_D: -0.033080 Loss_G: 0.032400 Loss_D_real: -0.023275 Loss_D_fake 0.009804
[313/5000][350/535][32028] Loss_D: -0.032458 Loss_G: 0.030043 Loss_D_real: -0.026933 Loss_D_fake 0.005525
[313/5000][355/535][32029] Loss_D: -0.033867 Loss_G: 0.029489 Loss_D_real: -0.024842 Loss_D_fake 0.009025
[313/5000][360/535][32030] Loss_D: -0.031678 Loss_G: 0.017609 Loss_D_real: -0.027898 Loss_D_fake 0.003780
[313/5000][365/535][32031] Loss_D: -0.031976 Loss_G: 0.027956 Loss_D_real: -0.028815 Loss_D_fake 0.003161
[313/5000][370/535][32032] Loss_D: -0.031208 Loss_G: -0.012949 Loss_D_real: 0.002366 Loss_D_fake 0.033574
[313/5000][375/535][32033] Loss_D: -0.029840 Loss_G: 0.020227 Loss_D_real: -0.036626 Loss_D_fake -0.006786
[313/5000][380/535][32034] Loss_D: -0.030839 Loss_G: 0.003034 Loss_D_real: -0.006482 Loss_D_fake 0.024356
[313/5000][385/535][32035] Loss_D: -0.030756 Loss_G: 0.004581 Loss_D_real: -0.024824 Loss_D_fake 0.005932
[313/5000][390/535][32036] Loss_D: -0.030748 Loss_G: 0.034753 Loss_D_real: -0.032121 Loss_D_fake -0.001372
[313/5000][395/535][32037] Loss_D: -0.031367 Loss_G: -0.003427 Loss_D_real: -0.004894 Loss_D_fake 0.026473
[313/5000][400/535][32038] Loss_D: -0.032008 Loss_G: 0.015413 Loss_D_real: -0.008364 Loss_D_fake 0.023645
[313/5000][405/535][32039] Loss_D: -0.030883 Loss_G: 0.008204 Loss_D_real: -0.018059 Loss_D_fake 0.012825
[313/5000][410/535][32040] Loss_D: -0.032076 Loss_G: 0.009337 Loss_D_real: -0.018846 Loss_D_fake 0.013230
[313/5000][415/535][32041] Loss_D: -0.031014 Loss_G: 0.007144 Loss_D_real: -0.021716 Loss_D_fake 0.009298
[313/5000][420/535][32042] Loss_D: -0.030112 Loss_G: 0.044850 Loss_D_real: -0.039182 Loss_D_fake -0.009070
[313/5000][425/535][32043] Loss_D: -0.030274 Loss_G: -0.010915 Loss_D_real: -0.004351 Loss_D_fake 0.025923
[313/5000][430/535][32044] Loss_D: -0.030228 Loss_G: 0.022309 Loss_D_real: -0.020791 Loss_D_fake 0.009437
[313/5000][435/535][32045] Loss_D: -0.029503 Loss_G: -0.013866 Loss_D_real: 0.005008 Loss_D_fake 0.034511
[313/5000][440/535][32046] Loss_D: -0.032121 Loss_G: 0.017268 Loss_D_real: -0.025002 Loss_D_fake 0.007119
[313/5000][445/535][32047] Loss_D: -0.030232 Loss_G: 0.017370 Loss_D_real: -0.017871 Loss_D_fake 0.012361
[313/5000][450/535][32048] Loss_D: -0.033052 Loss_G: 0.022944 Loss_D_real: -0.018659 Loss_D_fake 0.014392
[313/5000][455/535][32049] Loss_D: -0.031452 Loss_G: 0.031969 Loss_D_real: -0.024524 Loss_D_fake 0.006928
[313/5000][460/535][32050] Loss_D: -0.031475 Loss_G: 0.019479 Loss_D_real: -0.020736 Loss_D_fake 0.010739
[313/5000][465/535][32051] Loss_D: -0.031847 Loss_G: 0.009621 Loss_D_real: -0.016008 Loss_D_fake 0.015840
[313/5000][470/535][32052] Loss_D: -0.030719 Loss_G: 0.030214 Loss_D_real: -0.026045 Loss_D_fake 0.004674
[313/5000][475/535][32053] Loss_D: -0.031142 Loss_G: 0.016822 Loss_D_real: -0.021944 Loss_D_fake 0.009198
[313/5000][480/535][32054] Loss_D: -0.031656 Loss_G: 0.032981 Loss_D_real: -0.019190 Loss_D_fake 0.012467
[313/5000][485/535][32055] Loss_D: -0.030078 Loss_G: 0.003266 Loss_D_real: -0.004002 Loss_D_fake 0.026076
[313/5000][490/535][32056] Loss_D: -0.030413 Loss_G: 0.018282 Loss_D_real: -0.016531 Loss_D_fake 0.013881
[313/5000][495/535][32057] Loss_D: -0.031483 Loss_G: 0.041669 Loss_D_real: -0.034190 Loss_D_fake -0.002707
[313/5000][500/535][32058] Loss_D: -0.031275 Loss_G: 0.012291 Loss_D_real: -0.021387 Loss_D_fake 0.009889
[313/5000][505/535][32059] Loss_D: -0.030613 Loss_G: 0.013456 Loss_D_real: -0.020751 Loss_D_fake 0.009862
[313/5000][510/535][32060] Loss_D: -0.031202 Loss_G: 0.021000 Loss_D_real: -0.022020 Loss_D_fake 0.009182
[313/5000][515/535][32061] Loss_D: -0.031718 Loss_G: 0.017436 Loss_D_real: -0.020487 Loss_D_fake 0.011231
[313/5000][520/535][32062] Loss_D: -0.033234 Loss_G: 0.010573 Loss_D_real: -0.015569 Loss_D_fake 0.017665
[313/5000][525/535][32063] Loss_D: -0.031862 Loss_G: 0.024858 Loss_D_real: -0.024369 Loss_D_fake 0.007493
[313/5000][530/535][32064] Loss_D: -0.031336 Loss_G: 0.026237 Loss_D_real: -0.030445 Loss_D_fake 0.000891
[313/5000][535/535][32065] Loss_D: -0.030499 Loss_G: -0.025065 Loss_D_real: 0.002737 Loss_D_fake 0.033235
[314/5000][5/535][32066] Loss_D: -0.031879 Loss_G: 0.008817 Loss_D_real: -0.020506 Loss_D_fake 0.011373
[314/5000][10/535][32067] Loss_D: -0.030854 Loss_G: 0.015810 Loss_D_real: -0.026437 Loss_D_fake 0.004418
[314/5000][15/535][32068] Loss_D: -0.032131 Loss_G: 0.031840 Loss_D_real: -0.034455 Loss_D_fake -0.002324
[314/5000][20/535][32069] Loss_D: -0.032732 Loss_G: 0.001629 Loss_D_real: -0.018632 Loss_D_fake 0.014100
[314/5000][25/535][32070] Loss_D: -0.030375 Loss_G: 0.036871 Loss_D_real: -0.028924 Loss_D_fake 0.001451
[314/5000][30/535][32071] Loss_D: -0.027943 Loss_G: -0.018472 Loss_D_real: 0.006583 Loss_D_fake 0.034527
[314/5000][35/535][32072] Loss_D: -0.030583 Loss_G: 0.014298 Loss_D_real: -0.020830 Loss_D_fake 0.009753
[314/5000][40/535][32073] Loss_D: -0.030936 Loss_G: 0.000740 Loss_D_real: -0.009213 Loss_D_fake 0.021723
[314/5000][45/535][32074] Loss_D: -0.029813 Loss_G: 0.030032 Loss_D_real: -0.034308 Loss_D_fake -0.004495
[314/5000][50/535][32075] Loss_D: -0.030758 Loss_G: -0.004193 Loss_D_real: -0.009376 Loss_D_fake 0.021382
[314/5000][55/535][32076] Loss_D: -0.030750 Loss_G: 0.031608 Loss_D_real: -0.041397 Loss_D_fake -0.010647
[314/5000][60/535][32077] Loss_D: -0.029662 Loss_G: 0.004150 Loss_D_real: -0.007098 Loss_D_fake 0.022564
[314/5000][65/535][32078] Loss_D: -0.030795 Loss_G: -0.001850 Loss_D_real: -0.010958 Loss_D_fake 0.019837
[314/5000][70/535][32079] Loss_D: -0.031375 Loss_G: 0.009340 Loss_D_real: -0.003412 Loss_D_fake 0.027963
[314/5000][75/535][32080] Loss_D: -0.030723 Loss_G: 0.028872 Loss_D_real: -0.024148 Loss_D_fake 0.006575
[314/5000][80/535][32081] Loss_D: -0.031520 Loss_G: 0.018495 Loss_D_real: -0.021379 Loss_D_fake 0.010141
[314/5000][85/535][32082] Loss_D: -0.030673 Loss_G: 0.003186 Loss_D_real: -0.011968 Loss_D_fake 0.018705
[314/5000][90/535][32083] Loss_D: -0.030914 Loss_G: 0.021654 Loss_D_real: -0.026907 Loss_D_fake 0.004007
[314/5000][95/535][32084] Loss_D: -0.030277 Loss_G: 0.018574 Loss_D_real: -0.019432 Loss_D_fake 0.010845
[314/5000][100/535][32085] Loss_D: -0.030543 Loss_G: 0.000464 Loss_D_real: -0.004647 Loss_D_fake 0.025896
[314/5000][105/535][32086] Loss_D: -0.031428 Loss_G: 0.028870 Loss_D_real: -0.029708 Loss_D_fake 0.001720
[314/5000][110/535][32087] Loss_D: -0.029953 Loss_G: 0.030637 Loss_D_real: -0.032382 Loss_D_fake -0.002429
[314/5000][115/535][32088] Loss_D: -0.030670 Loss_G: -0.004102 Loss_D_real: -0.009331 Loss_D_fake 0.021339
[314/5000][120/535][32089] Loss_D: -0.028230 Loss_G: 0.033398 Loss_D_real: -0.037511 Loss_D_fake -0.009282
[314/5000][125/535][32090] Loss_D: -0.030583 Loss_G: 0.010689 Loss_D_real: -0.010814 Loss_D_fake 0.019770
[314/5000][130/535][32091] Loss_D: -0.029351 Loss_G: 0.001839 Loss_D_real: -0.004781 Loss_D_fake 0.024570
[314/5000][135/535][32092] Loss_D: -0.032080 Loss_G: 0.029699 Loss_D_real: -0.028212 Loss_D_fake 0.003868
[314/5000][140/535][32093] Loss_D: -0.030532 Loss_G: 0.016558 Loss_D_real: -0.024087 Loss_D_fake 0.006445
[314/5000][145/535][32094] Loss_D: -0.031163 Loss_G: 0.012561 Loss_D_real: -0.018602 Loss_D_fake 0.012561
[314/5000][150/535][32095] Loss_D: -0.031057 Loss_G: 0.039161 Loss_D_real: -0.032584 Loss_D_fake -0.001527
[314/5000][155/535][32096] Loss_D: -0.030356 Loss_G: 0.009873 Loss_D_real: -0.003481 Loss_D_fake 0.026875
[314/5000][160/535][32097] Loss_D: -0.032658 Loss_G: 0.025289 Loss_D_real: -0.022167 Loss_D_fake 0.010491
[314/5000][165/535][32098] Loss_D: -0.032024 Loss_G: 0.021191 Loss_D_real: -0.016846 Loss_D_fake 0.015178
[314/5000][170/535][32099] Loss_D: -0.030628 Loss_G: 0.032611 Loss_D_real: -0.037703 Loss_D_fake -0.007075
[314/5000][175/535][32100] Loss_D: -0.032644 Loss_G: 0.014336 Loss_D_real: -0.018531 Loss_D_fake 0.014113
[314/5000][180/535][32101] Loss_D: -0.030230 Loss_G: 0.024226 Loss_D_real: -0.020367 Loss_D_fake 0.009862
[314/5000][185/535][32102] Loss_D: -0.032448 Loss_G: 0.007104 Loss_D_real: -0.020642 Loss_D_fake 0.011806
[314/5000][190/535][32103] Loss_D: -0.030543 Loss_G: -0.006359 Loss_D_real: -0.007903 Loss_D_fake 0.022640
[314/5000][195/535][32104] Loss_D: -0.030144 Loss_G: 0.037188 Loss_D_real: -0.035920 Loss_D_fake -0.005776
[314/5000][200/535][32105] Loss_D: -0.031082 Loss_G: 0.000009 Loss_D_real: -0.006237 Loss_D_fake 0.024844
[314/5000][205/535][32106] Loss_D: -0.030640 Loss_G: 0.001243 Loss_D_real: -0.001971 Loss_D_fake 0.028669
[314/5000][210/535][32107] Loss_D: -0.031164 Loss_G: 0.026273 Loss_D_real: -0.020303 Loss_D_fake 0.010861
[314/5000][215/535][32108] Loss_D: -0.027868 Loss_G: -0.012377 Loss_D_real: 0.009636 Loss_D_fake 0.037504
[314/5000][220/535][32109] Loss_D: -0.030885 Loss_G: 0.012538 Loss_D_real: -0.016438 Loss_D_fake 0.014447
[314/5000][225/535][32110] Loss_D: -0.030359 Loss_G: 0.005916 Loss_D_real: -0.016288 Loss_D_fake 0.014071
[314/5000][230/535][32111] Loss_D: -0.029916 Loss_G: 0.018136 Loss_D_real: -0.026736 Loss_D_fake 0.003181
[314/5000][235/535][32112] Loss_D: -0.032964 Loss_G: 0.011805 Loss_D_real: -0.012320 Loss_D_fake 0.020644
[314/5000][240/535][32113] Loss_D: -0.033383 Loss_G: 0.016988 Loss_D_real: -0.016700 Loss_D_fake 0.016683
[314/5000][245/535][32114] Loss_D: -0.031931 Loss_G: 0.007551 Loss_D_real: -0.020860 Loss_D_fake 0.011071
[314/5000][250/535][32115] Loss_D: -0.029755 Loss_G: 0.046377 Loss_D_real: -0.045478 Loss_D_fake -0.015723
[314/5000][255/535][32116] Loss_D: -0.029151 Loss_G: -0.003263 Loss_D_real: -0.000738 Loss_D_fake 0.028414
[314/5000][260/535][32117] Loss_D: -0.030217 Loss_G: 0.012872 Loss_D_real: -0.018523 Loss_D_fake 0.011694
[314/5000][265/535][32118] Loss_D: -0.031615 Loss_G: 0.039073 Loss_D_real: -0.034642 Loss_D_fake -0.003028
[314/5000][270/535][32119] Loss_D: -0.031860 Loss_G: 0.011006 Loss_D_real: -0.015605 Loss_D_fake 0.016256
[314/5000][275/535][32120] Loss_D: -0.031693 Loss_G: 0.031047 Loss_D_real: -0.032856 Loss_D_fake -0.001163
[314/5000][280/535][32121] Loss_D: -0.032107 Loss_G: 0.009267 Loss_D_real: -0.012424 Loss_D_fake 0.019683
[314/5000][285/535][32122] Loss_D: -0.031191 Loss_G: 0.002901 Loss_D_real: -0.007657 Loss_D_fake 0.023534
[314/5000][290/535][32123] Loss_D: -0.032144 Loss_G: 0.028461 Loss_D_real: -0.029299 Loss_D_fake 0.002845
[314/5000][295/535][32124] Loss_D: -0.031884 Loss_G: 0.011792 Loss_D_real: -0.005815 Loss_D_fake 0.026069
[314/5000][300/535][32125] Loss_D: -0.032207 Loss_G: 0.027273 Loss_D_real: -0.026127 Loss_D_fake 0.006080
[314/5000][305/535][32126] Loss_D: -0.031988 Loss_G: 0.020976 Loss_D_real: -0.015852 Loss_D_fake 0.016136
[314/5000][310/535][32127] Loss_D: -0.032776 Loss_G: -0.008554 Loss_D_real: -0.004531 Loss_D_fake 0.028245
[314/5000][315/535][32128] Loss_D: -0.030319 Loss_G: 0.030444 Loss_D_real: -0.038847 Loss_D_fake -0.008528
[314/5000][320/535][32129] Loss_D: -0.030712 Loss_G: 0.026313 Loss_D_real: -0.021996 Loss_D_fake 0.008716
[314/5000][325/535][32130] Loss_D: -0.032150 Loss_G: 0.015394 Loss_D_real: -0.012411 Loss_D_fake 0.019739
[314/5000][330/535][32131] Loss_D: -0.032187 Loss_G: 0.012038 Loss_D_real: -0.016655 Loss_D_fake 0.015533
[314/5000][335/535][32132] Loss_D: -0.030040 Loss_G: 0.039546 Loss_D_real: -0.032234 Loss_D_fake -0.002194
[314/5000][340/535][32133] Loss_D: -0.030925 Loss_G: 0.007542 Loss_D_real: -0.014860 Loss_D_fake 0.016065
[314/5000][345/535][32134] Loss_D: -0.032268 Loss_G: 0.008756 Loss_D_real: -0.015860 Loss_D_fake 0.016409
[314/5000][350/535][32135] Loss_D: -0.032086 Loss_G: 0.022604 Loss_D_real: -0.029120 Loss_D_fake 0.002966
[314/5000][355/535][32136] Loss_D: -0.031337 Loss_G: 0.015087 Loss_D_real: -0.014003 Loss_D_fake 0.017334
[314/5000][360/535][32137] Loss_D: -0.032810 Loss_G: 0.026772 Loss_D_real: -0.021159 Loss_D_fake 0.011651
[314/5000][365/535][32138] Loss_D: -0.031199 Loss_G: -0.010091 Loss_D_real: -0.000699 Loss_D_fake 0.030500
[314/5000][370/535][32139] Loss_D: -0.030973 Loss_G: 0.020789 Loss_D_real: -0.026588 Loss_D_fake 0.004385
[314/5000][375/535][32140] Loss_D: -0.031633 Loss_G: 0.023047 Loss_D_real: -0.029684 Loss_D_fake 0.001949
[314/5000][380/535][32141] Loss_D: -0.033889 Loss_G: 0.018560 Loss_D_real: -0.022322 Loss_D_fake 0.011567
[314/5000][385/535][32142] Loss_D: -0.031271 Loss_G: 0.030511 Loss_D_real: -0.029762 Loss_D_fake 0.001509
[314/5000][390/535][32143] Loss_D: -0.029527 Loss_G: -0.003689 Loss_D_real: -0.007953 Loss_D_fake 0.021574
[314/5000][395/535][32144] Loss_D: -0.030529 Loss_G: -0.006553 Loss_D_real: -0.005487 Loss_D_fake 0.025042
[314/5000][400/535][32145] Loss_D: -0.031442 Loss_G: 0.005856 Loss_D_real: -0.006340 Loss_D_fake 0.025103
[314/5000][405/535][32146] Loss_D: -0.031835 Loss_G: 0.021514 Loss_D_real: -0.020869 Loss_D_fake 0.010967
[314/5000][410/535][32147] Loss_D: -0.030245 Loss_G: 0.033850 Loss_D_real: -0.023617 Loss_D_fake 0.006627
[314/5000][415/535][32148] Loss_D: -0.032078 Loss_G: 0.009916 Loss_D_real: -0.016414 Loss_D_fake 0.015664
[314/5000][420/535][32149] Loss_D: -0.031277 Loss_G: 0.001156 Loss_D_real: -0.013636 Loss_D_fake 0.017642
[314/5000][425/535][32150] Loss_D: -0.031444 Loss_G: 0.029348 Loss_D_real: -0.028191 Loss_D_fake 0.003254
[314/5000][430/535][32151] Loss_D: -0.031126 Loss_G: -0.012865 Loss_D_real: -0.004510 Loss_D_fake 0.026616
[314/5000][435/535][32152] Loss_D: -0.031164 Loss_G: 0.029427 Loss_D_real: -0.028425 Loss_D_fake 0.002740
[314/5000][440/535][32153] Loss_D: -0.031439 Loss_G: 0.026738 Loss_D_real: -0.026105 Loss_D_fake 0.005334
[314/5000][445/535][32154] Loss_D: -0.031982 Loss_G: 0.001568 Loss_D_real: -0.010645 Loss_D_fake 0.021337
[314/5000][450/535][32155] Loss_D: -0.031400 Loss_G: 0.030943 Loss_D_real: -0.041423 Loss_D_fake -0.010023
[314/5000][455/535][32156] Loss_D: -0.031887 Loss_G: 0.001523 Loss_D_real: -0.009368 Loss_D_fake 0.022520
[314/5000][460/535][32157] Loss_D: -0.031894 Loss_G: 0.031340 Loss_D_real: -0.027106 Loss_D_fake 0.004787
[314/5000][465/535][32158] Loss_D: -0.030837 Loss_G: -0.007935 Loss_D_real: 0.002136 Loss_D_fake 0.032973
[314/5000][470/535][32159] Loss_D: -0.029237 Loss_G: 0.026517 Loss_D_real: -0.029978 Loss_D_fake -0.000741
[314/5000][475/535][32160] Loss_D: -0.031580 Loss_G: -0.005801 Loss_D_real: -0.005654 Loss_D_fake 0.025927
[314/5000][480/535][32161] Loss_D: -0.031995 Loss_G: 0.002344 Loss_D_real: -0.008287 Loss_D_fake 0.023707
[314/5000][485/535][32162] Loss_D: -0.031941 Loss_G: 0.025182 Loss_D_real: -0.027254 Loss_D_fake 0.004687
[314/5000][490/535][32163] Loss_D: -0.032327 Loss_G: 0.004037 Loss_D_real: -0.013061 Loss_D_fake 0.019266
[314/5000][495/535][32164] Loss_D: -0.030644 Loss_G: 0.022616 Loss_D_real: -0.026730 Loss_D_fake 0.003914
[314/5000][500/535][32165] Loss_D: -0.033022 Loss_G: 0.016153 Loss_D_real: -0.022620 Loss_D_fake 0.010402
[314/5000][505/535][32166] Loss_D: -0.032348 Loss_G: 0.021530 Loss_D_real: -0.024701 Loss_D_fake 0.007646
[314/5000][510/535][32167] Loss_D: -0.030905 Loss_G: 0.023372 Loss_D_real: -0.030786 Loss_D_fake 0.000119
[314/5000][515/535][32168] Loss_D: -0.030930 Loss_G: 0.025860 Loss_D_real: -0.027894 Loss_D_fake 0.003036
[314/5000][520/535][32169] Loss_D: -0.029459 Loss_G: 0.013211 Loss_D_real: -0.012111 Loss_D_fake 0.017348
[314/5000][525/535][32170] Loss_D: -0.031987 Loss_G: 0.019290 Loss_D_real: -0.025072 Loss_D_fake 0.006915
[314/5000][530/535][32171] Loss_D: -0.032888 Loss_G: 0.017787 Loss_D_real: -0.016005 Loss_D_fake 0.016884
[314/5000][535/535][32172] Loss_D: -0.033472 Loss_G: 0.035717 Loss_D_real: -0.035951 Loss_D_fake -0.002479
[315/5000][5/535][32173] Loss_D: -0.031137 Loss_G: 0.005187 Loss_D_real: -0.012909 Loss_D_fake 0.018228
[315/5000][10/535][32174] Loss_D: -0.030495 Loss_G: 0.029991 Loss_D_real: -0.028542 Loss_D_fake 0.001953
[315/5000][15/535][32175] Loss_D: -0.032722 Loss_G: 0.007604 Loss_D_real: -0.013038 Loss_D_fake 0.019685
[315/5000][20/535][32176] Loss_D: -0.030997 Loss_G: 0.006576 Loss_D_real: -0.008820 Loss_D_fake 0.022177
[315/5000][25/535][32177] Loss_D: -0.028209 Loss_G: 0.043177 Loss_D_real: -0.042008 Loss_D_fake -0.013799
[315/5000][30/535][32178] Loss_D: -0.030801 Loss_G: -0.004589 Loss_D_real: -0.005920 Loss_D_fake 0.024880
[315/5000][35/535][32179] Loss_D: -0.031592 Loss_G: 0.017699 Loss_D_real: -0.021412 Loss_D_fake 0.010181
[315/5000][40/535][32180] Loss_D: -0.031513 Loss_G: 0.045373 Loss_D_real: -0.037017 Loss_D_fake -0.005504
[315/5000][45/535][32181] Loss_D: -0.031568 Loss_G: -0.008523 Loss_D_real: -0.002929 Loss_D_fake 0.028640
[315/5000][50/535][32182] Loss_D: -0.030747 Loss_G: 0.030001 Loss_D_real: -0.027822 Loss_D_fake 0.002925
[315/5000][55/535][32183] Loss_D: -0.032291 Loss_G: -0.000368 Loss_D_real: -0.008694 Loss_D_fake 0.023598
[315/5000][60/535][32184] Loss_D: -0.031648 Loss_G: 0.014155 Loss_D_real: -0.014284 Loss_D_fake 0.017364
[315/5000][65/535][32185] Loss_D: -0.030868 Loss_G: 0.036720 Loss_D_real: -0.033331 Loss_D_fake -0.002463
[315/5000][70/535][32186] Loss_D: -0.030679 Loss_G: -0.004064 Loss_D_real: -0.008912 Loss_D_fake 0.021767
[315/5000][75/535][32187] Loss_D: -0.030816 Loss_G: 0.021628 Loss_D_real: -0.024229 Loss_D_fake 0.006587
[315/5000][80/535][32188] Loss_D: -0.032266 Loss_G: 0.016209 Loss_D_real: -0.020490 Loss_D_fake 0.011776
[315/5000][85/535][32189] Loss_D: -0.030124 Loss_G: 0.006958 Loss_D_real: -0.013336 Loss_D_fake 0.016787
[315/5000][90/535][32190] Loss_D: -0.031422 Loss_G: 0.023854 Loss_D_real: -0.022384 Loss_D_fake 0.009038
[315/5000][95/535][32191] Loss_D: -0.030913 Loss_G: 0.018390 Loss_D_real: -0.022146 Loss_D_fake 0.008767
[315/5000][100/535][32192] Loss_D: -0.030221 Loss_G: 0.003835 Loss_D_real: -0.011275 Loss_D_fake 0.018946
[315/5000][105/535][32193] Loss_D: -0.030782 Loss_G: -0.010994 Loss_D_real: -0.003185 Loss_D_fake 0.027597
[315/5000][110/535][32194] Loss_D: -0.030369 Loss_G: 0.001838 Loss_D_real: -0.015323 Loss_D_fake 0.015047
[315/5000][115/535][32195] Loss_D: -0.030277 Loss_G: 0.025596 Loss_D_real: -0.024453 Loss_D_fake 0.005824
[315/5000][120/535][32196] Loss_D: -0.029522 Loss_G: -0.008211 Loss_D_real: -0.008241 Loss_D_fake 0.021281
[315/5000][125/535][32197] Loss_D: -0.030399 Loss_G: 0.024195 Loss_D_real: -0.023374 Loss_D_fake 0.007025
[315/5000][130/535][32198] Loss_D: -0.030458 Loss_G: 0.006152 Loss_D_real: -0.001125 Loss_D_fake 0.029332
[315/5000][135/535][32199] Loss_D: -0.030621 Loss_G: 0.018487 Loss_D_real: -0.021426 Loss_D_fake 0.009196
[315/5000][140/535][32200] Loss_D: -0.031377 Loss_G: 0.006920 Loss_D_real: -0.012788 Loss_D_fake 0.018589
[315/5000][145/535][32201] Loss_D: -0.031476 Loss_G: 0.010840 Loss_D_real: -0.017118 Loss_D_fake 0.014358
[315/5000][150/535][32202] Loss_D: -0.030979 Loss_G: 0.031335 Loss_D_real: -0.025841 Loss_D_fake 0.005138
[315/5000][155/535][32203] Loss_D: -0.031432 Loss_G: -0.005798 Loss_D_real: 0.002150 Loss_D_fake 0.033582
[315/5000][160/535][32204] Loss_D: -0.031119 Loss_G: 0.028244 Loss_D_real: -0.041663 Loss_D_fake -0.010543
[315/5000][165/535][32205] Loss_D: -0.032779 Loss_G: 0.025138 Loss_D_real: -0.024007 Loss_D_fake 0.008772
[315/5000][170/535][32206] Loss_D: -0.031476 Loss_G: 0.036113 Loss_D_real: -0.028578 Loss_D_fake 0.002899
[315/5000][175/535][32207] Loss_D: -0.031227 Loss_G: 0.023396 Loss_D_real: -0.023473 Loss_D_fake 0.007753
[315/5000][180/535][32208] Loss_D: -0.029868 Loss_G: 0.023444 Loss_D_real: -0.025303 Loss_D_fake 0.004565
[315/5000][185/535][32209] Loss_D: -0.031949 Loss_G: 0.003075 Loss_D_real: -0.009596 Loss_D_fake 0.022353
[315/5000][190/535][32210] Loss_D: -0.030807 Loss_G: 0.003608 Loss_D_real: -0.006749 Loss_D_fake 0.024058
[315/5000][195/535][32211] Loss_D: -0.031043 Loss_G: -0.010612 Loss_D_real: -0.006652 Loss_D_fake 0.024391
[315/5000][200/535][32212] Loss_D: -0.031022 Loss_G: 0.031310 Loss_D_real: -0.029189 Loss_D_fake 0.001833
[315/5000][205/535][32213] Loss_D: -0.030276 Loss_G: -0.003563 Loss_D_real: -0.006499 Loss_D_fake 0.023777
[315/5000][210/535][32214] Loss_D: -0.030785 Loss_G: 0.030663 Loss_D_real: -0.026099 Loss_D_fake 0.004686
[315/5000][215/535][32215] Loss_D: -0.031587 Loss_G: -0.001775 Loss_D_real: -0.004736 Loss_D_fake 0.026851
[315/5000][220/535][32216] Loss_D: -0.030030 Loss_G: 0.010412 Loss_D_real: -0.006846 Loss_D_fake 0.023184
[315/5000][225/535][32217] Loss_D: -0.032623 Loss_G: 0.006686 Loss_D_real: -0.015490 Loss_D_fake 0.017134
[315/5000][230/535][32218] Loss_D: -0.031508 Loss_G: 0.033382 Loss_D_real: -0.031435 Loss_D_fake 0.000073
[315/5000][235/535][32219] Loss_D: -0.030387 Loss_G: 0.010507 Loss_D_real: -0.021055 Loss_D_fake 0.009332
[315/5000][240/535][32220] Loss_D: -0.030588 Loss_G: 0.034843 Loss_D_real: -0.028007 Loss_D_fake 0.002581
[315/5000][245/535][32221] Loss_D: -0.031699 Loss_G: 0.014879 Loss_D_real: -0.017839 Loss_D_fake 0.013860
[315/5000][250/535][32222] Loss_D: -0.032094 Loss_G: -0.006204 Loss_D_real: -0.010268 Loss_D_fake 0.021826
[315/5000][255/535][32223] Loss_D: -0.030637 Loss_G: 0.033135 Loss_D_real: -0.034048 Loss_D_fake -0.003411
[315/5000][260/535][32224] Loss_D: -0.030212 Loss_G: 0.015253 Loss_D_real: -0.015927 Loss_D_fake 0.014285
[315/5000][265/535][32225] Loss_D: -0.029119 Loss_G: 0.031581 Loss_D_real: -0.036102 Loss_D_fake -0.006982
[315/5000][270/535][32226] Loss_D: -0.032810 Loss_G: 0.020810 Loss_D_real: -0.020156 Loss_D_fake 0.012654
[315/5000][275/535][32227] Loss_D: -0.031744 Loss_G: 0.017139 Loss_D_real: -0.019630 Loss_D_fake 0.012113
[315/5000][280/535][32228] Loss_D: -0.032028 Loss_G: 0.021864 Loss_D_real: -0.022979 Loss_D_fake 0.009049
[315/5000][285/535][32229] Loss_D: -0.031104 Loss_G: 0.032872 Loss_D_real: -0.028207 Loss_D_fake 0.002896
[315/5000][290/535][32230] Loss_D: -0.030335 Loss_G: 0.030945 Loss_D_real: -0.036542 Loss_D_fake -0.006207
[315/5000][295/535][32231] Loss_D: -0.032736 Loss_G: 0.034507 Loss_D_real: -0.030892 Loss_D_fake 0.001844
[315/5000][300/535][32232] Loss_D: -0.032182 Loss_G: 0.013596 Loss_D_real: -0.011763 Loss_D_fake 0.020420
[315/5000][305/535][32233] Loss_D: -0.032345 Loss_G: 0.004480 Loss_D_real: -0.015123 Loss_D_fake 0.017222
[315/5000][310/535][32234] Loss_D: -0.032084 Loss_G: 0.032458 Loss_D_real: -0.027453 Loss_D_fake 0.004631
[315/5000][315/535][32235] Loss_D: -0.031897 Loss_G: 0.001956 Loss_D_real: -0.007570 Loss_D_fake 0.024326
[315/5000][320/535][32236] Loss_D: -0.031247 Loss_G: -0.002899 Loss_D_real: -0.007520 Loss_D_fake 0.023727
[315/5000][325/535][32237] Loss_D: -0.031721 Loss_G: 0.037627 Loss_D_real: -0.037541 Loss_D_fake -0.005820
[315/5000][330/535][32238] Loss_D: -0.032498 Loss_G: 0.018982 Loss_D_real: -0.020150 Loss_D_fake 0.012348
[315/5000][335/535][32239] Loss_D: -0.031544 Loss_G: 0.011657 Loss_D_real: -0.013925 Loss_D_fake 0.017619
[315/5000][340/535][32240] Loss_D: -0.032279 Loss_G: 0.003702 Loss_D_real: -0.011340 Loss_D_fake 0.020939
[315/5000][345/535][32241] Loss_D: -0.032193 Loss_G: 0.000927 Loss_D_real: -0.012469 Loss_D_fake 0.019723
[315/5000][350/535][32242] Loss_D: -0.031909 Loss_G: 0.022064 Loss_D_real: -0.022325 Loss_D_fake 0.009584
[315/5000][355/535][32243] Loss_D: -0.033316 Loss_G: 0.020778 Loss_D_real: -0.024361 Loss_D_fake 0.008956
[315/5000][360/535][32244] Loss_D: -0.031895 Loss_G: 0.006787 Loss_D_real: -0.014916 Loss_D_fake 0.016980
[315/5000][365/535][32245] Loss_D: -0.030933 Loss_G: 0.034696 Loss_D_real: -0.027658 Loss_D_fake 0.003275
[315/5000][370/535][32246] Loss_D: -0.030564 Loss_G: 0.033767 Loss_D_real: -0.032696 Loss_D_fake -0.002132
[315/5000][375/535][32247] Loss_D: -0.032118 Loss_G: 0.022071 Loss_D_real: -0.021744 Loss_D_fake 0.010375
[315/5000][380/535][32248] Loss_D: -0.030848 Loss_G: -0.007281 Loss_D_real: 0.000222 Loss_D_fake 0.031070
[315/5000][385/535][32249] Loss_D: -0.031294 Loss_G: 0.033555 Loss_D_real: -0.027229 Loss_D_fake 0.004065
[315/5000][390/535][32250] Loss_D: -0.031779 Loss_G: 0.010184 Loss_D_real: -0.020601 Loss_D_fake 0.011178
[315/5000][395/535][32251] Loss_D: -0.030649 Loss_G: 0.026247 Loss_D_real: -0.023399 Loss_D_fake 0.007250
[315/5000][400/535][32252] Loss_D: -0.030402 Loss_G: 0.027533 Loss_D_real: -0.034485 Loss_D_fake -0.004083
[315/5000][405/535][32253] Loss_D: -0.031213 Loss_G: 0.022355 Loss_D_real: -0.021610 Loss_D_fake 0.009603
[315/5000][410/535][32254] Loss_D: -0.031435 Loss_G: -0.000370 Loss_D_real: -0.005333 Loss_D_fake 0.026102
[315/5000][415/535][32255] Loss_D: -0.031372 Loss_G: 0.015384 Loss_D_real: -0.027254 Loss_D_fake 0.004118
[315/5000][420/535][32256] Loss_D: -0.031943 Loss_G: 0.035542 Loss_D_real: -0.036264 Loss_D_fake -0.004321
[315/5000][425/535][32257] Loss_D: -0.032224 Loss_G: 0.038620 Loss_D_real: -0.027610 Loss_D_fake 0.004614
[315/5000][430/535][32258] Loss_D: -0.030551 Loss_G: -0.002126 Loss_D_real: -0.010340 Loss_D_fake 0.020211
[315/5000][435/535][32259] Loss_D: -0.031034 Loss_G: 0.031505 Loss_D_real: -0.028034 Loss_D_fake 0.003000
[315/5000][440/535][32260] Loss_D: -0.031140 Loss_G: 0.003050 Loss_D_real: -0.007420 Loss_D_fake 0.023721
[315/5000][445/535][32261] Loss_D: -0.030587 Loss_G: 0.019838 Loss_D_real: -0.025062 Loss_D_fake 0.005524
[315/5000][450/535][32262] Loss_D: -0.031440 Loss_G: 0.037371 Loss_D_real: -0.032676 Loss_D_fake -0.001236
[315/5000][455/535][32263] Loss_D: -0.031246 Loss_G: 0.028281 Loss_D_real: -0.022136 Loss_D_fake 0.009111
[315/5000][460/535][32264] Loss_D: -0.033645 Loss_G: 0.013632 Loss_D_real: -0.023433 Loss_D_fake 0.010212
[315/5000][465/535][32265] Loss_D: -0.032024 Loss_G: 0.004853 Loss_D_real: -0.014860 Loss_D_fake 0.017164
[315/5000][470/535][32266] Loss_D: -0.032943 Loss_G: 0.025361 Loss_D_real: -0.023370 Loss_D_fake 0.009573
[315/5000][475/535][32267] Loss_D: -0.029670 Loss_G: -0.013507 Loss_D_real: 0.000221 Loss_D_fake 0.029891
[315/5000][480/535][32268] Loss_D: -0.031626 Loss_G: 0.015837 Loss_D_real: -0.017430 Loss_D_fake 0.014196
[315/5000][485/535][32269] Loss_D: -0.031494 Loss_G: 0.024158 Loss_D_real: -0.038128 Loss_D_fake -0.006634
[315/5000][490/535][32270] Loss_D: -0.031212 Loss_G: 0.010590 Loss_D_real: -0.015474 Loss_D_fake 0.015738
[315/5000][495/535][32271] Loss_D: -0.031862 Loss_G: 0.024849 Loss_D_real: -0.030784 Loss_D_fake 0.001078
[315/5000][500/535][32272] Loss_D: -0.031856 Loss_G: 0.007130 Loss_D_real: -0.011070 Loss_D_fake 0.020786
[315/5000][505/535][32273] Loss_D: -0.031953 Loss_G: 0.015353 Loss_D_real: -0.011456 Loss_D_fake 0.020497
[315/5000][510/535][32274] Loss_D: -0.030105 Loss_G: 0.009171 Loss_D_real: -0.017253 Loss_D_fake 0.012852
[315/5000][515/535][32275] Loss_D: -0.031497 Loss_G: 0.026988 Loss_D_real: -0.025214 Loss_D_fake 0.006283
[315/5000][520/535][32276] Loss_D: -0.031045 Loss_G: 0.011495 Loss_D_real: -0.015544 Loss_D_fake 0.015500
[315/5000][525/535][32277] Loss_D: -0.030784 Loss_G: 0.007491 Loss_D_real: -0.011293 Loss_D_fake 0.019491
[315/5000][530/535][32278] Loss_D: -0.029924 Loss_G: 0.006411 Loss_D_real: -0.012683 Loss_D_fake 0.017241
[315/5000][535/535][32279] Loss_D: -0.034169 Loss_G: -0.008489 Loss_D_real: -0.018099 Loss_D_fake 0.016071
[316/5000][5/535][32280] Loss_D: -0.029932 Loss_G: 0.034117 Loss_D_real: -0.035326 Loss_D_fake -0.005394
[316/5000][10/535][32281] Loss_D: -0.030676 Loss_G: 0.010964 Loss_D_real: -0.019970 Loss_D_fake 0.010705
[316/5000][15/535][32282] Loss_D: -0.030543 Loss_G: 0.017643 Loss_D_real: -0.028073 Loss_D_fake 0.002470
[316/5000][20/535][32283] Loss_D: -0.030663 Loss_G: -0.007151 Loss_D_real: 0.003325 Loss_D_fake 0.033988
[316/5000][25/535][32284] Loss_D: -0.029636 Loss_G: 0.029054 Loss_D_real: -0.032429 Loss_D_fake -0.002793
[316/5000][30/535][32285] Loss_D: -0.031504 Loss_G: 0.002646 Loss_D_real: -0.007126 Loss_D_fake 0.024379
[316/5000][35/535][32286] Loss_D: -0.031044 Loss_G: 0.018647 Loss_D_real: -0.026182 Loss_D_fake 0.004862
[316/5000][40/535][32287] Loss_D: -0.030442 Loss_G: 0.037175 Loss_D_real: -0.037146 Loss_D_fake -0.006704
[316/5000][45/535][32288] Loss_D: -0.029971 Loss_G: 0.045697 Loss_D_real: -0.033296 Loss_D_fake -0.003324
[316/5000][50/535][32289] Loss_D: -0.029922 Loss_G: 0.002666 Loss_D_real: -0.002278 Loss_D_fake 0.027644
[316/5000][55/535][32290] Loss_D: -0.029036 Loss_G: 0.036839 Loss_D_real: -0.030242 Loss_D_fake -0.001206
[316/5000][60/535][32291] Loss_D: -0.029997 Loss_G: 0.009782 Loss_D_real: -0.010864 Loss_D_fake 0.019133
[316/5000][65/535][32292] Loss_D: -0.029712 Loss_G: 0.015406 Loss_D_real: -0.024634 Loss_D_fake 0.005078
[316/5000][70/535][32293] Loss_D: -0.032245 Loss_G: 0.012356 Loss_D_real: -0.026720 Loss_D_fake 0.005525
[316/5000][75/535][32294] Loss_D: -0.030303 Loss_G: 0.019778 Loss_D_real: -0.021923 Loss_D_fake 0.008379
[316/5000][80/535][32295] Loss_D: -0.032055 Loss_G: 0.017436 Loss_D_real: -0.017814 Loss_D_fake 0.014241
[316/5000][85/535][32296] Loss_D: -0.031071 Loss_G: 0.015367 Loss_D_real: -0.013985 Loss_D_fake 0.017086
[316/5000][90/535][32297] Loss_D: -0.031153 Loss_G: 0.014497 Loss_D_real: -0.017405 Loss_D_fake 0.013748
[316/5000][95/535][32298] Loss_D: -0.030832 Loss_G: 0.030199 Loss_D_real: -0.028037 Loss_D_fake 0.002795
[316/5000][100/535][32299] Loss_D: -0.031837 Loss_G: 0.002658 Loss_D_real: -0.008319 Loss_D_fake 0.023518
[316/5000][105/535][32300] Loss_D: -0.032276 Loss_G: 0.018778 Loss_D_real: -0.020140 Loss_D_fake 0.012136
[316/5000][110/535][32301] Loss_D: -0.033370 Loss_G: 0.016822 Loss_D_real: -0.019155 Loss_D_fake 0.014215
[316/5000][115/535][32302] Loss_D: -0.032630 Loss_G: 0.032766 Loss_D_real: -0.026633 Loss_D_fake 0.005997
[316/5000][120/535][32303] Loss_D: -0.030335 Loss_G: 0.033487 Loss_D_real: -0.032949 Loss_D_fake -0.002614
[316/5000][125/535][32304] Loss_D: -0.031000 Loss_G: 0.006895 Loss_D_real: 0.000545 Loss_D_fake 0.031545
[316/5000][130/535][32305] Loss_D: -0.031664 Loss_G: 0.027645 Loss_D_real: -0.025402 Loss_D_fake 0.006262
[316/5000][135/535][32306] Loss_D: -0.030720 Loss_G: 0.006037 Loss_D_real: -0.012490 Loss_D_fake 0.018230
[316/5000][140/535][32307] Loss_D: -0.031603 Loss_G: 0.027363 Loss_D_real: -0.026586 Loss_D_fake 0.005018
[316/5000][145/535][32308] Loss_D: -0.031092 Loss_G: 0.011341 Loss_D_real: -0.011849 Loss_D_fake 0.019244
[316/5000][150/535][32309] Loss_D: -0.031447 Loss_G: 0.032070 Loss_D_real: -0.035005 Loss_D_fake -0.003558
[316/5000][155/535][32310] Loss_D: -0.031870 Loss_G: -0.003295 Loss_D_real: -0.013513 Loss_D_fake 0.018357
[316/5000][160/535][32311] Loss_D: -0.030094 Loss_G: 0.040369 Loss_D_real: -0.036813 Loss_D_fake -0.006719
[316/5000][165/535][32312] Loss_D: -0.031442 Loss_G: 0.010833 Loss_D_real: -0.013705 Loss_D_fake 0.017737
[316/5000][170/535][32313] Loss_D: -0.030499 Loss_G: 0.021169 Loss_D_real: -0.021426 Loss_D_fake 0.009073
[316/5000][175/535][32314] Loss_D: -0.030753 Loss_G: -0.004949 Loss_D_real: 0.001222 Loss_D_fake 0.031975
[316/5000][180/535][32315] Loss_D: -0.031559 Loss_G: 0.004227 Loss_D_real: -0.020415 Loss_D_fake 0.011144
[316/5000][185/535][32316] Loss_D: -0.032978 Loss_G: 0.022190 Loss_D_real: -0.023373 Loss_D_fake 0.009605
[316/5000][190/535][32317] Loss_D: -0.031090 Loss_G: 0.029220 Loss_D_real: -0.023031 Loss_D_fake 0.008059
[316/5000][195/535][32318] Loss_D: -0.031392 Loss_G: 0.015790 Loss_D_real: -0.016379 Loss_D_fake 0.015013
[316/5000][200/535][32319] Loss_D: -0.031668 Loss_G: 0.026803 Loss_D_real: -0.023001 Loss_D_fake 0.008667
[316/5000][205/535][32320] Loss_D: -0.031459 Loss_G: 0.003707 Loss_D_real: -0.012262 Loss_D_fake 0.019197
[316/5000][210/535][32321] Loss_D: -0.030849 Loss_G: 0.000214 Loss_D_real: -0.006401 Loss_D_fake 0.024448
[316/5000][215/535][32322] Loss_D: -0.030926 Loss_G: 0.029442 Loss_D_real: -0.025383 Loss_D_fake 0.005543
[316/5000][220/535][32323] Loss_D: -0.032526 Loss_G: 0.029734 Loss_D_real: -0.031205 Loss_D_fake 0.001320
[316/5000][225/535][32324] Loss_D: -0.032430 Loss_G: 0.015182 Loss_D_real: -0.008388 Loss_D_fake 0.024042
[316/5000][230/535][32325] Loss_D: -0.031152 Loss_G: 0.032317 Loss_D_real: -0.038337 Loss_D_fake -0.007185
[316/5000][235/535][32326] Loss_D: -0.031509 Loss_G: -0.000735 Loss_D_real: -0.011953 Loss_D_fake 0.019555
[316/5000][240/535][32327] Loss_D: -0.030085 Loss_G: 0.046321 Loss_D_real: -0.042786 Loss_D_fake -0.012701
[316/5000][245/535][32328] Loss_D: -0.030015 Loss_G: -0.005895 Loss_D_real: -0.004674 Loss_D_fake 0.025341
[316/5000][250/535][32329] Loss_D: -0.030723 Loss_G: 0.029908 Loss_D_real: -0.028398 Loss_D_fake 0.002325
[316/5000][255/535][32330] Loss_D: -0.031429 Loss_G: 0.037468 Loss_D_real: -0.027719 Loss_D_fake 0.003710
[316/5000][260/535][32331] Loss_D: -0.031013 Loss_G: 0.005636 Loss_D_real: -0.009110 Loss_D_fake 0.021902
[316/5000][265/535][32332] Loss_D: -0.031089 Loss_G: 0.028661 Loss_D_real: -0.028343 Loss_D_fake 0.002746
[316/5000][270/535][32333] Loss_D: -0.032068 Loss_G: 0.001231 Loss_D_real: -0.009729 Loss_D_fake 0.022339
[316/5000][275/535][32334] Loss_D: -0.031445 Loss_G: 0.004702 Loss_D_real: -0.011851 Loss_D_fake 0.019594
[316/5000][280/535][32335] Loss_D: -0.029285 Loss_G: 0.032616 Loss_D_real: -0.032779 Loss_D_fake -0.003494
[316/5000][285/535][32336] Loss_D: -0.032473 Loss_G: -0.001115 Loss_D_real: -0.015621 Loss_D_fake 0.016852
[316/5000][290/535][32337] Loss_D: -0.030630 Loss_G: 0.022711 Loss_D_real: -0.032113 Loss_D_fake -0.001483
[316/5000][295/535][32338] Loss_D: -0.031985 Loss_G: 0.006066 Loss_D_real: -0.007478 Loss_D_fake 0.024506
[316/5000][300/535][32339] Loss_D: -0.031157 Loss_G: 0.020871 Loss_D_real: -0.018682 Loss_D_fake 0.012475
[316/5000][305/535][32340] Loss_D: -0.032142 Loss_G: 0.027876 Loss_D_real: -0.025786 Loss_D_fake 0.006357
[316/5000][310/535][32341] Loss_D: -0.031944 Loss_G: 0.006332 Loss_D_real: -0.021016 Loss_D_fake 0.010929
[316/5000][315/535][32342] Loss_D: -0.032434 Loss_G: 0.021657 Loss_D_real: -0.014861 Loss_D_fake 0.017573
[316/5000][320/535][32343] Loss_D: -0.029634 Loss_G: 0.040211 Loss_D_real: -0.037403 Loss_D_fake -0.007769
[316/5000][325/535][32344] Loss_D: -0.031785 Loss_G: -0.009063 Loss_D_real: -0.005481 Loss_D_fake 0.026305
[316/5000][330/535][32345] Loss_D: -0.031467 Loss_G: 0.019004 Loss_D_real: -0.022722 Loss_D_fake 0.008746
[316/5000][335/535][32346] Loss_D: -0.031044 Loss_G: 0.038311 Loss_D_real: -0.028815 Loss_D_fake 0.002229
[316/5000][340/535][32347] Loss_D: -0.031991 Loss_G: 0.015820 Loss_D_real: -0.020059 Loss_D_fake 0.011932
[316/5000][345/535][32348] Loss_D: -0.030534 Loss_G: 0.025613 Loss_D_real: -0.027455 Loss_D_fake 0.003080
[316/5000][350/535][32349] Loss_D: -0.031426 Loss_G: 0.032148 Loss_D_real: -0.034494 Loss_D_fake -0.003068
[316/5000][355/535][32350] Loss_D: -0.029393 Loss_G: -0.012917 Loss_D_real: 0.009092 Loss_D_fake 0.038484
[316/5000][360/535][32351] Loss_D: -0.031674 Loss_G: 0.029563 Loss_D_real: -0.032168 Loss_D_fake -0.000494
[316/5000][365/535][32352] Loss_D: -0.032460 Loss_G: 0.022343 Loss_D_real: -0.022966 Loss_D_fake 0.009494
[316/5000][370/535][32353] Loss_D: -0.030653 Loss_G: 0.003449 Loss_D_real: -0.012392 Loss_D_fake 0.018261
[316/5000][375/535][32354] Loss_D: -0.031776 Loss_G: 0.025859 Loss_D_real: -0.035578 Loss_D_fake -0.003802
[316/5000][380/535][32355] Loss_D: -0.030804 Loss_G: 0.031288 Loss_D_real: -0.025226 Loss_D_fake 0.005578
[316/5000][385/535][32356] Loss_D: -0.030660 Loss_G: 0.022989 Loss_D_real: -0.026452 Loss_D_fake 0.004208
[316/5000][390/535][32357] Loss_D: -0.031220 Loss_G: 0.031588 Loss_D_real: -0.019762 Loss_D_fake 0.011458
[316/5000][395/535][32358] Loss_D: -0.031551 Loss_G: 0.020535 Loss_D_real: -0.021612 Loss_D_fake 0.009939
[316/5000][400/535][32359] Loss_D: -0.031924 Loss_G: -0.000751 Loss_D_real: -0.007582 Loss_D_fake 0.024342
[316/5000][405/535][32360] Loss_D: -0.030460 Loss_G: 0.030926 Loss_D_real: -0.037011 Loss_D_fake -0.006551
[316/5000][410/535][32361] Loss_D: -0.032037 Loss_G: 0.015125 Loss_D_real: -0.013371 Loss_D_fake 0.018666
[316/5000][415/535][32362] Loss_D: -0.030428 Loss_G: 0.013587 Loss_D_real: -0.023168 Loss_D_fake 0.007260
[316/5000][420/535][32363] Loss_D: -0.031888 Loss_G: 0.021210 Loss_D_real: -0.022256 Loss_D_fake 0.009632
[316/5000][425/535][32364] Loss_D: -0.032255 Loss_G: -0.015967 Loss_D_real: -0.007788 Loss_D_fake 0.024467
[316/5000][430/535][32365] Loss_D: -0.031214 Loss_G: -0.000474 Loss_D_real: -0.017694 Loss_D_fake 0.013520
[316/5000][435/535][32366] Loss_D: -0.029416 Loss_G: 0.029353 Loss_D_real: -0.032810 Loss_D_fake -0.003394
[316/5000][440/535][32367] Loss_D: -0.032240 Loss_G: 0.023322 Loss_D_real: -0.022940 Loss_D_fake 0.009300
[316/5000][445/535][32368] Loss_D: -0.032282 Loss_G: 0.008487 Loss_D_real: -0.012467 Loss_D_fake 0.019815
[316/5000][450/535][32369] Loss_D: -0.032656 Loss_G: 0.003111 Loss_D_real: -0.016360 Loss_D_fake 0.016296
[316/5000][455/535][32370] Loss_D: -0.032554 Loss_G: 0.040669 Loss_D_real: -0.034597 Loss_D_fake -0.002043
[316/5000][460/535][32371] Loss_D: -0.031875 Loss_G: 0.000228 Loss_D_real: -0.011247 Loss_D_fake 0.020628
[316/5000][465/535][32372] Loss_D: -0.030826 Loss_G: 0.018627 Loss_D_real: -0.018921 Loss_D_fake 0.011905
[316/5000][470/535][32373] Loss_D: -0.032451 Loss_G: -0.001676 Loss_D_real: -0.015404 Loss_D_fake 0.017047
[316/5000][475/535][32374] Loss_D: -0.031592 Loss_G: 0.035789 Loss_D_real: -0.035098 Loss_D_fake -0.003506
[316/5000][480/535][32375] Loss_D: -0.031696 Loss_G: 0.007090 Loss_D_real: -0.002094 Loss_D_fake 0.029601
[316/5000][485/535][32376] Loss_D: -0.031744 Loss_G: 0.022793 Loss_D_real: -0.029035 Loss_D_fake 0.002709
[316/5000][490/535][32377] Loss_D: -0.030871 Loss_G: 0.003263 Loss_D_real: -0.012315 Loss_D_fake 0.018556
[316/5000][495/535][32378] Loss_D: -0.031016 Loss_G: 0.036643 Loss_D_real: -0.030587 Loss_D_fake 0.000429
[316/5000][500/535][32379] Loss_D: -0.030226 Loss_G: 0.014214 Loss_D_real: -0.023152 Loss_D_fake 0.007074
[316/5000][505/535][32380] Loss_D: -0.029189 Loss_G: 0.037036 Loss_D_real: -0.039534 Loss_D_fake -0.010346
[316/5000][510/535][32381] Loss_D: -0.032256 Loss_G: 0.004489 Loss_D_real: -0.019452 Loss_D_fake 0.012804
[316/5000][515/535][32382] Loss_D: -0.029842 Loss_G: 0.030713 Loss_D_real: -0.028190 Loss_D_fake 0.001652
[316/5000][520/535][32383] Loss_D: -0.031119 Loss_G: 0.017257 Loss_D_real: -0.028453 Loss_D_fake 0.002666
[316/5000][525/535][32384] Loss_D: -0.030564 Loss_G: 0.002147 Loss_D_real: -0.012465 Loss_D_fake 0.018098
[316/5000][530/535][32385] Loss_D: -0.030671 Loss_G: 0.024986 Loss_D_real: -0.022726 Loss_D_fake 0.007945
[316/5000][535/535][32386] Loss_D: -0.024034 Loss_G: 0.029074 Loss_D_real: -0.029680 Loss_D_fake -0.005646
[317/5000][5/535][32387] Loss_D: -0.031912 Loss_G: -0.003812 Loss_D_real: -0.013176 Loss_D_fake 0.018736
[317/5000][10/535][32388] Loss_D: -0.030981 Loss_G: 0.003365 Loss_D_real: -0.008809 Loss_D_fake 0.022171
[317/5000][15/535][32389] Loss_D: -0.031371 Loss_G: 0.029544 Loss_D_real: -0.036953 Loss_D_fake -0.005582
[317/5000][20/535][32390] Loss_D: -0.031173 Loss_G: 0.026792 Loss_D_real: -0.020534 Loss_D_fake 0.010639
[317/5000][25/535][32391] Loss_D: -0.031091 Loss_G: 0.011255 Loss_D_real: -0.017796 Loss_D_fake 0.013295
[317/5000][30/535][32392] Loss_D: -0.030891 Loss_G: 0.003090 Loss_D_real: -0.013209 Loss_D_fake 0.017682
[317/5000][35/535][32393] Loss_D: -0.030478 Loss_G: 0.001245 Loss_D_real: -0.009350 Loss_D_fake 0.021128
[317/5000][40/535][32394] Loss_D: -0.029455 Loss_G: 0.032503 Loss_D_real: -0.034601 Loss_D_fake -0.005147
[317/5000][45/535][32395] Loss_D: -0.030644 Loss_G: 0.031282 Loss_D_real: -0.029449 Loss_D_fake 0.001195
[317/5000][50/535][32396] Loss_D: -0.032167 Loss_G: -0.004200 Loss_D_real: -0.004058 Loss_D_fake 0.028109
[317/5000][55/535][32397] Loss_D: -0.031362 Loss_G: 0.025031 Loss_D_real: -0.027370 Loss_D_fake 0.003992
[317/5000][60/535][32398] Loss_D: -0.030524 Loss_G: 0.004189 Loss_D_real: -0.008184 Loss_D_fake 0.022340
[317/5000][65/535][32399] Loss_D: -0.031136 Loss_G: 0.019022 Loss_D_real: -0.024749 Loss_D_fake 0.006387
[317/5000][70/535][32400] Loss_D: -0.030942 Loss_G: 0.022752 Loss_D_real: -0.021433 Loss_D_fake 0.009510
[317/5000][75/535][32401] Loss_D: -0.032131 Loss_G: 0.046742 Loss_D_real: -0.033448 Loss_D_fake -0.001317
[317/5000][80/535][32402] Loss_D: -0.030599 Loss_G: 0.000246 Loss_D_real: -0.010630 Loss_D_fake 0.019969
[317/5000][85/535][32403] Loss_D: -0.031478 Loss_G: 0.016401 Loss_D_real: -0.016418 Loss_D_fake 0.015060
[317/5000][90/535][32404] Loss_D: -0.032722 Loss_G: -0.002134 Loss_D_real: -0.015810 Loss_D_fake 0.016911
[317/5000][95/535][32405] Loss_D: -0.032135 Loss_G: 0.020375 Loss_D_real: -0.022794 Loss_D_fake 0.009341
[317/5000][100/535][32406] Loss_D: -0.029034 Loss_G: 0.046852 Loss_D_real: -0.044078 Loss_D_fake -0.015044
[317/5000][105/535][32407] Loss_D: -0.031514 Loss_G: 0.008664 Loss_D_real: -0.016855 Loss_D_fake 0.014660
[317/5000][110/535][32408] Loss_D: -0.030405 Loss_G: 0.024158 Loss_D_real: -0.037261 Loss_D_fake -0.006856
[317/5000][115/535][32409] Loss_D: -0.032645 Loss_G: 0.023486 Loss_D_real: -0.015609 Loss_D_fake 0.017036
[317/5000][120/535][32410] Loss_D: -0.032162 Loss_G: 0.030436 Loss_D_real: -0.021881 Loss_D_fake 0.010281
[317/5000][125/535][32411] Loss_D: -0.030248 Loss_G: 0.036184 Loss_D_real: -0.032745 Loss_D_fake -0.002497
[317/5000][130/535][32412] Loss_D: -0.031241 Loss_G: 0.012466 Loss_D_real: -0.013174 Loss_D_fake 0.018067
[317/5000][135/535][32413] Loss_D: -0.030382 Loss_G: 0.023553 Loss_D_real: -0.022271 Loss_D_fake 0.008111
[317/5000][140/535][32414] Loss_D: -0.030405 Loss_G: -0.005280 Loss_D_real: 0.001793 Loss_D_fake 0.032197
[317/5000][145/535][32415] Loss_D: -0.030160 Loss_G: 0.021725 Loss_D_real: -0.023703 Loss_D_fake 0.006457
[317/5000][150/535][32416] Loss_D: -0.032405 Loss_G: 0.011573 Loss_D_real: -0.016926 Loss_D_fake 0.015480
[317/5000][155/535][32417] Loss_D: -0.032367 Loss_G: 0.000050 Loss_D_real: -0.017238 Loss_D_fake 0.015129
[317/5000][160/535][32418] Loss_D: -0.030361 Loss_G: 0.034784 Loss_D_real: -0.038706 Loss_D_fake -0.008345
[317/5000][165/535][32419] Loss_D: -0.032734 Loss_G: 0.000648 Loss_D_real: -0.010667 Loss_D_fake 0.022068
[317/5000][170/535][32420] Loss_D: -0.031539 Loss_G: 0.007292 Loss_D_real: -0.014880 Loss_D_fake 0.016659
[317/5000][175/535][32421] Loss_D: -0.031583 Loss_G: 0.024636 Loss_D_real: -0.029280 Loss_D_fake 0.002302
[317/5000][180/535][32422] Loss_D: -0.030901 Loss_G: 0.014350 Loss_D_real: -0.021452 Loss_D_fake 0.009448
[317/5000][185/535][32423] Loss_D: -0.032075 Loss_G: 0.007045 Loss_D_real: -0.019099 Loss_D_fake 0.012976
[317/5000][190/535][32424] Loss_D: -0.030949 Loss_G: 0.026361 Loss_D_real: -0.024062 Loss_D_fake 0.006887
[317/5000][195/535][32425] Loss_D: -0.031539 Loss_G: 0.000161 Loss_D_real: -0.007983 Loss_D_fake 0.023557
[317/5000][200/535][32426] Loss_D: -0.028778 Loss_G: 0.036408 Loss_D_real: -0.042009 Loss_D_fake -0.013230
[317/5000][205/535][32427] Loss_D: -0.030935 Loss_G: 0.019302 Loss_D_real: -0.020619 Loss_D_fake 0.010316
[317/5000][210/535][32428] Loss_D: -0.031914 Loss_G: 0.028375 Loss_D_real: -0.028382 Loss_D_fake 0.003532
[317/5000][215/535][32429] Loss_D: -0.031334 Loss_G: 0.026677 Loss_D_real: -0.030727 Loss_D_fake 0.000607
[317/5000][220/535][32430] Loss_D: -0.032254 Loss_G: 0.004637 Loss_D_real: -0.008589 Loss_D_fake 0.023665
[317/5000][225/535][32431] Loss_D: -0.030602 Loss_G: 0.026650 Loss_D_real: -0.030025 Loss_D_fake 0.000577
[317/5000][230/535][32432] Loss_D: -0.031486 Loss_G: 0.001245 Loss_D_real: -0.004777 Loss_D_fake 0.026709
[317/5000][235/535][32433] Loss_D: -0.030698 Loss_G: 0.029958 Loss_D_real: -0.026530 Loss_D_fake 0.004168
[317/5000][240/535][32434] Loss_D: -0.032286 Loss_G: 0.007723 Loss_D_real: -0.016262 Loss_D_fake 0.016024
[317/5000][245/535][32435] Loss_D: -0.032526 Loss_G: 0.020231 Loss_D_real: -0.019117 Loss_D_fake 0.013409
[317/5000][250/535][32436] Loss_D: -0.031950 Loss_G: 0.013259 Loss_D_real: -0.009557 Loss_D_fake 0.022392
[317/5000][255/535][32437] Loss_D: -0.031294 Loss_G: 0.020313 Loss_D_real: -0.023162 Loss_D_fake 0.008132
[317/5000][260/535][32438] Loss_D: -0.029914 Loss_G: 0.000868 Loss_D_real: -0.007194 Loss_D_fake 0.022719
[317/5000][265/535][32439] Loss_D: -0.031323 Loss_G: 0.002533 Loss_D_real: -0.013347 Loss_D_fake 0.017976
[317/5000][270/535][32440] Loss_D: -0.029863 Loss_G: 0.042542 Loss_D_real: -0.035175 Loss_D_fake -0.005313
[317/5000][275/535][32441] Loss_D: -0.032624 Loss_G: -0.005674 Loss_D_real: -0.002803 Loss_D_fake 0.029821
[317/5000][280/535][32442] Loss_D: -0.030432 Loss_G: 0.033947 Loss_D_real: -0.027998 Loss_D_fake 0.002434
[317/5000][285/535][32443] Loss_D: -0.032469 Loss_G: 0.005399 Loss_D_real: -0.011838 Loss_D_fake 0.020631
[317/5000][290/535][32444] Loss_D: -0.030626 Loss_G: 0.030091 Loss_D_real: -0.030767 Loss_D_fake -0.000141
[317/5000][295/535][32445] Loss_D: -0.030619 Loss_G: 0.022573 Loss_D_real: -0.017359 Loss_D_fake 0.013260
[317/5000][300/535][32446] Loss_D: -0.032310 Loss_G: 0.012461 Loss_D_real: -0.022262 Loss_D_fake 0.010048
[317/5000][305/535][32447] Loss_D: -0.029583 Loss_G: 0.000663 Loss_D_real: -0.010659 Loss_D_fake 0.018924
[317/5000][310/535][32448] Loss_D: -0.030031 Loss_G: 0.023430 Loss_D_real: -0.033930 Loss_D_fake -0.003899
[317/5000][315/535][32449] Loss_D: -0.031480 Loss_G: 0.016189 Loss_D_real: -0.018010 Loss_D_fake 0.013469
[317/5000][320/535][32450] Loss_D: -0.030821 Loss_G: 0.026916 Loss_D_real: -0.027402 Loss_D_fake 0.003420
[317/5000][325/535][32451] Loss_D: -0.030473 Loss_G: 0.011326 Loss_D_real: -0.020852 Loss_D_fake 0.009621
[317/5000][330/535][32452] Loss_D: -0.032211 Loss_G: 0.000576 Loss_D_real: -0.009493 Loss_D_fake 0.022717
[317/5000][335/535][32453] Loss_D: -0.030611 Loss_G: -0.004456 Loss_D_real: -0.008949 Loss_D_fake 0.021661
[317/5000][340/535][32454] Loss_D: -0.030858 Loss_G: 0.026337 Loss_D_real: -0.026766 Loss_D_fake 0.004092
[317/5000][345/535][32455] Loss_D: -0.032085 Loss_G: 0.018964 Loss_D_real: -0.011928 Loss_D_fake 0.020157
[317/5000][350/535][32456] Loss_D: -0.030627 Loss_G: -0.001521 Loss_D_real: -0.004004 Loss_D_fake 0.026623
[317/5000][355/535][32457] Loss_D: -0.031415 Loss_G: 0.029703 Loss_D_real: -0.035861 Loss_D_fake -0.004446
[317/5000][360/535][32458] Loss_D: -0.031290 Loss_G: 0.039532 Loss_D_real: -0.038510 Loss_D_fake -0.007219
[317/5000][365/535][32459] Loss_D: -0.032365 Loss_G: 0.021587 Loss_D_real: -0.022548 Loss_D_fake 0.009816
[317/5000][370/535][32460] Loss_D: -0.032072 Loss_G: 0.007705 Loss_D_real: -0.008609 Loss_D_fake 0.023463
[317/5000][375/535][32461] Loss_D: -0.032272 Loss_G: 0.029069 Loss_D_real: -0.034691 Loss_D_fake -0.002419
[317/5000][380/535][32462] Loss_D: -0.033057 Loss_G: 0.003651 Loss_D_real: -0.016287 Loss_D_fake 0.016771
[317/5000][385/535][32463] Loss_D: -0.032070 Loss_G: 0.031897 Loss_D_real: -0.040698 Loss_D_fake -0.008628
[317/5000][390/535][32464] Loss_D: -0.030315 Loss_G: 0.003312 Loss_D_real: -0.012182 Loss_D_fake 0.018133
[317/5000][395/535][32465] Loss_D: -0.031869 Loss_G: 0.015205 Loss_D_real: -0.021113 Loss_D_fake 0.010757
[317/5000][400/535][32466] Loss_D: -0.032568 Loss_G: 0.041962 Loss_D_real: -0.036351 Loss_D_fake -0.003782
[317/5000][405/535][32467] Loss_D: -0.031501 Loss_G: 0.008347 Loss_D_real: -0.003968 Loss_D_fake 0.027532
[317/5000][410/535][32468] Loss_D: -0.031913 Loss_G: 0.012983 Loss_D_real: -0.019154 Loss_D_fake 0.012759
[317/5000][415/535][32469] Loss_D: -0.030315 Loss_G: 0.031356 Loss_D_real: -0.039851 Loss_D_fake -0.009535
[317/5000][420/535][32470] Loss_D: -0.030684 Loss_G: 0.015858 Loss_D_real: -0.011105 Loss_D_fake 0.019579
[317/5000][425/535][32471] Loss_D: -0.030954 Loss_G: 0.009617 Loss_D_real: -0.012341 Loss_D_fake 0.018612
[317/5000][430/535][32472] Loss_D: -0.031496 Loss_G: 0.020884 Loss_D_real: -0.028479 Loss_D_fake 0.003017
[317/5000][435/535][32473] Loss_D: -0.031850 Loss_G: -0.000430 Loss_D_real: -0.010421 Loss_D_fake 0.021429
[317/5000][440/535][32474] Loss_D: -0.030042 Loss_G: 0.019846 Loss_D_real: -0.020485 Loss_D_fake 0.009557
[317/5000][445/535][32475] Loss_D: -0.032083 Loss_G: 0.000063 Loss_D_real: -0.008294 Loss_D_fake 0.023788
[317/5000][450/535][32476] Loss_D: -0.031141 Loss_G: 0.013122 Loss_D_real: -0.012221 Loss_D_fake 0.018919
[317/5000][455/535][32477] Loss_D: -0.030157 Loss_G: 0.036221 Loss_D_real: -0.035051 Loss_D_fake -0.004894
[317/5000][460/535][32478] Loss_D: -0.031801 Loss_G: -0.004145 Loss_D_real: 0.004471 Loss_D_fake 0.036273
[317/5000][465/535][32479] Loss_D: -0.031414 Loss_G: 0.031086 Loss_D_real: -0.033708 Loss_D_fake -0.002294
[317/5000][470/535][32480] Loss_D: -0.033532 Loss_G: 0.021801 Loss_D_real: -0.030664 Loss_D_fake 0.002868
[317/5000][475/535][32481] Loss_D: -0.032277 Loss_G: 0.017410 Loss_D_real: -0.020981 Loss_D_fake 0.011296
[317/5000][480/535][32482] Loss_D: -0.033686 Loss_G: 0.008109 Loss_D_real: -0.015893 Loss_D_fake 0.017793
[317/5000][485/535][32483] Loss_D: -0.030800 Loss_G: 0.027090 Loss_D_real: -0.025811 Loss_D_fake 0.004989
[317/5000][490/535][32484] Loss_D: -0.030813 Loss_G: 0.009084 Loss_D_real: -0.014554 Loss_D_fake 0.016259
[317/5000][495/535][32485] Loss_D: -0.029580 Loss_G: 0.035964 Loss_D_real: -0.039396 Loss_D_fake -0.009816
[317/5000][500/535][32486] Loss_D: -0.032597 Loss_G: 0.026653 Loss_D_real: -0.021073 Loss_D_fake 0.011524
[317/5000][505/535][32487] Loss_D: -0.030795 Loss_G: 0.039306 Loss_D_real: -0.031364 Loss_D_fake -0.000569
[317/5000][510/535][32488] Loss_D: -0.031394 Loss_G: 0.006994 Loss_D_real: -0.008731 Loss_D_fake 0.022663
[317/5000][515/535][32489] Loss_D: -0.032247 Loss_G: 0.030577 Loss_D_real: -0.034589 Loss_D_fake -0.002343
[317/5000][520/535][32490] Loss_D: -0.032138 Loss_G: -0.009767 Loss_D_real: 0.006378 Loss_D_fake 0.038515
[317/5000][525/535][32491] Loss_D: -0.029795 Loss_G: 0.003710 Loss_D_real: -0.009842 Loss_D_fake 0.019953
[317/5000][530/535][32492] Loss_D: -0.031754 Loss_G: 0.014795 Loss_D_real: -0.022492 Loss_D_fake 0.009261
[317/5000][535/535][32493] Loss_D: -0.034107 Loss_G: -0.003792 Loss_D_real: -0.016413 Loss_D_fake 0.017694
[318/5000][5/535][32494] Loss_D: -0.031293 Loss_G: 0.035746 Loss_D_real: -0.029363 Loss_D_fake 0.001930
[318/5000][10/535][32495] Loss_D: -0.033019 Loss_G: -0.003631 Loss_D_real: -0.002563 Loss_D_fake 0.030455
[318/5000][15/535][32496] Loss_D: -0.030921 Loss_G: 0.013447 Loss_D_real: -0.015941 Loss_D_fake 0.014980
[318/5000][20/535][32497] Loss_D: -0.031137 Loss_G: 0.025149 Loss_D_real: -0.029271 Loss_D_fake 0.001866
[318/5000][25/535][32498] Loss_D: -0.031941 Loss_G: 0.011625 Loss_D_real: -0.018568 Loss_D_fake 0.013373
[318/5000][30/535][32499] Loss_D: -0.033129 Loss_G: 0.021493 Loss_D_real: -0.026018 Loss_D_fake 0.007111
[318/5000][35/535][32500] Loss_D: -0.030923 Loss_G: 0.000155 Loss_D_real: -0.006003 Loss_D_fake 0.024920
[318/5000][135/535][32501] Loss_D: -0.032929 Loss_G: 0.010916 Loss_D_real: -0.013241 Loss_D_fake 0.019688
[318/5000][140/535][32502] Loss_D: -0.029597 Loss_G: 0.045662 Loss_D_real: -0.033162 Loss_D_fake -0.003565
[318/5000][145/535][32503] Loss_D: -0.029396 Loss_G: 0.020090 Loss_D_real: -0.024985 Loss_D_fake 0.004412
[318/5000][150/535][32504] Loss_D: -0.031444 Loss_G: 0.010873 Loss_D_real: -0.014654 Loss_D_fake 0.016790
[318/5000][155/535][32505] Loss_D: -0.028441 Loss_G: 0.045097 Loss_D_real: -0.041284 Loss_D_fake -0.012843
[318/5000][160/535][32506] Loss_D: -0.030823 Loss_G: -0.003943 Loss_D_real: -0.000913 Loss_D_fake 0.029910
[318/5000][165/535][32507] Loss_D: -0.029308 Loss_G: -0.002468 Loss_D_real: -0.007991 Loss_D_fake 0.021316
[318/5000][170/535][32508] Loss_D: -0.031566 Loss_G: 0.011574 Loss_D_real: -0.013908 Loss_D_fake 0.017657
[318/5000][175/535][32509] Loss_D: -0.030564 Loss_G: 0.019383 Loss_D_real: -0.028837 Loss_D_fake 0.001727
[318/5000][180/535][32510] Loss_D: -0.031047 Loss_G: 0.005869 Loss_D_real: -0.010581 Loss_D_fake 0.020467
[318/5000][185/535][32511] Loss_D: -0.029962 Loss_G: 0.026623 Loss_D_real: -0.029743 Loss_D_fake 0.000219
[318/5000][190/535][32512] Loss_D: -0.030638 Loss_G: 0.027357 Loss_D_real: -0.032330 Loss_D_fake -0.001693
[318/5000][195/535][32513] Loss_D: -0.030137 Loss_G: 0.014825 Loss_D_real: -0.014148 Loss_D_fake 0.015989
[318/5000][200/535][32514] Loss_D: -0.031669 Loss_G: 0.022770 Loss_D_real: -0.021946 Loss_D_fake 0.009724
[318/5000][205/535][32515] Loss_D: -0.028684 Loss_G: -0.009290 Loss_D_real: 0.005591 Loss_D_fake 0.034275
[318/5000][210/535][32516] Loss_D: -0.031921 Loss_G: 0.030897 Loss_D_real: -0.036195 Loss_D_fake -0.004274
[318/5000][215/535][32517] Loss_D: -0.031419 Loss_G: 0.006851 Loss_D_real: -0.003388 Loss_D_fake 0.028031
[318/5000][220/535][32518] Loss_D: -0.032435 Loss_G: 0.001142 Loss_D_real: -0.016600 Loss_D_fake 0.015835
[318/5000][225/535][32519] Loss_D: -0.032092 Loss_G: 0.015079 Loss_D_real: -0.023795 Loss_D_fake 0.008297
[318/5000][230/535][32520] Loss_D: -0.030923 Loss_G: -0.001718 Loss_D_real: -0.010668 Loss_D_fake 0.020255
[318/5000][235/535][32521] Loss_D: -0.031160 Loss_G: 0.041549 Loss_D_real: -0.038603 Loss_D_fake -0.007443
[318/5000][240/535][32522] Loss_D: -0.030956 Loss_G: 0.007550 Loss_D_real: -0.017405 Loss_D_fake 0.013551
[318/5000][245/535][32523] Loss_D: -0.030311 Loss_G: 0.036148 Loss_D_real: -0.033900 Loss_D_fake -0.003589
[318/5000][250/535][32524] Loss_D: -0.031418 Loss_G: 0.013510 Loss_D_real: -0.015415 Loss_D_fake 0.016003
[318/5000][255/535][32525] Loss_D: -0.028707 Loss_G: 0.030247 Loss_D_real: -0.030827 Loss_D_fake -0.002120
[318/5000][260/535][32526] Loss_D: -0.029949 Loss_G: 0.001764 Loss_D_real: -0.004422 Loss_D_fake 0.025527
[318/5000][265/535][32527] Loss_D: -0.031375 Loss_G: 0.029628 Loss_D_real: -0.035509 Loss_D_fake -0.004134
[318/5000][270/535][32528] Loss_D: -0.031714 Loss_G: 0.001490 Loss_D_real: -0.016634 Loss_D_fake 0.015080
[318/5000][275/535][32529] Loss_D: -0.031954 Loss_G: 0.023568 Loss_D_real: -0.030661 Loss_D_fake 0.001293
[318/5000][280/535][32530] Loss_D: -0.032246 Loss_G: 0.032003 Loss_D_real: -0.030282 Loss_D_fake 0.001964
[318/5000][285/535][32531] Loss_D: -0.031000 Loss_G: 0.005211 Loss_D_real: -0.007937 Loss_D_fake 0.023063
[318/5000][290/535][32532] Loss_D: -0.030902 Loss_G: 0.033846 Loss_D_real: -0.028503 Loss_D_fake 0.002399
[318/5000][295/535][32533] Loss_D: -0.031384 Loss_G: 0.014632 Loss_D_real: -0.015387 Loss_D_fake 0.015997
[318/5000][300/535][32534] Loss_D: -0.031470 Loss_G: 0.024742 Loss_D_real: -0.015699 Loss_D_fake 0.015771
[318/5000][305/535][32535] Loss_D: -0.030396 Loss_G: 0.023931 Loss_D_real: -0.028198 Loss_D_fake 0.002198
[318/5000][310/535][32536] Loss_D: -0.030605 Loss_G: 0.017384 Loss_D_real: -0.016099 Loss_D_fake 0.014506
[318/5000][315/535][32537] Loss_D: -0.031125 Loss_G: 0.008889 Loss_D_real: -0.013915 Loss_D_fake 0.017210
[318/5000][320/535][32538] Loss_D: -0.031364 Loss_G: 0.032811 Loss_D_real: -0.032728 Loss_D_fake -0.001364
[318/5000][325/535][32539] Loss_D: -0.030927 Loss_G: -0.001664 Loss_D_real: -0.005473 Loss_D_fake 0.025454
[318/5000][330/535][32540] Loss_D: -0.029811 Loss_G: 0.016883 Loss_D_real: -0.026799 Loss_D_fake 0.003012
[318/5000][335/535][32541] Loss_D: -0.032321 Loss_G: 0.019918 Loss_D_real: -0.029709 Loss_D_fake 0.002612
[318/5000][340/535][32542] Loss_D: -0.033598 Loss_G: 0.015694 Loss_D_real: -0.025192 Loss_D_fake 0.008406
[318/5000][345/535][32543] Loss_D: -0.032515 Loss_G: 0.006838 Loss_D_real: -0.023852 Loss_D_fake 0.008663
[318/5000][350/535][32544] Loss_D: -0.029555 Loss_G: 0.035225 Loss_D_real: -0.035037 Loss_D_fake -0.005482
[318/5000][355/535][32545] Loss_D: -0.031364 Loss_G: -0.007239 Loss_D_real: -0.001864 Loss_D_fake 0.029500
[318/5000][360/535][32546] Loss_D: -0.030173 Loss_G: 0.022148 Loss_D_real: -0.022595 Loss_D_fake 0.007578
[318/5000][365/535][32547] Loss_D: -0.029855 Loss_G: 0.003315 Loss_D_real: -0.018703 Loss_D_fake 0.011152
[318/5000][370/535][32548] Loss_D: -0.031268 Loss_G: 0.012477 Loss_D_real: -0.013569 Loss_D_fake 0.017699
[318/5000][375/535][32549] Loss_D: -0.029621 Loss_G: 0.047170 Loss_D_real: -0.039589 Loss_D_fake -0.009968
[318/5000][380/535][32550] Loss_D: -0.031389 Loss_G: 0.003355 Loss_D_real: -0.006446 Loss_D_fake 0.024943
[318/5000][385/535][32551] Loss_D: -0.032146 Loss_G: 0.019576 Loss_D_real: -0.015270 Loss_D_fake 0.016876
[318/5000][390/535][32552] Loss_D: -0.030652 Loss_G: -0.007167 Loss_D_real: -0.010128 Loss_D_fake 0.020524
[318/5000][395/535][32553] Loss_D: -0.030029 Loss_G: 0.023613 Loss_D_real: -0.018596 Loss_D_fake 0.011432
[318/5000][400/535][32554] Loss_D: -0.030131 Loss_G: 0.002982 Loss_D_real: -0.019763 Loss_D_fake 0.010368
[318/5000][405/535][32555] Loss_D: -0.031647 Loss_G: 0.022420 Loss_D_real: -0.018526 Loss_D_fake 0.013120
[318/5000][410/535][32556] Loss_D: -0.032583 Loss_G: 0.011926 Loss_D_real: -0.015775 Loss_D_fake 0.016808
[318/5000][415/535][32557] Loss_D: -0.033034 Loss_G: 0.014946 Loss_D_real: -0.017999 Loss_D_fake 0.015036
[318/5000][420/535][32558] Loss_D: -0.032438 Loss_G: 0.024636 Loss_D_real: -0.027057 Loss_D_fake 0.005381
[318/5000][425/535][32559] Loss_D: -0.032023 Loss_G: 0.010268 Loss_D_real: -0.020480 Loss_D_fake 0.011542
[318/5000][430/535][32560] Loss_D: -0.032704 Loss_G: 0.017342 Loss_D_real: -0.020221 Loss_D_fake 0.012483
[318/5000][435/535][32561] Loss_D: -0.031503 Loss_G: 0.039236 Loss_D_real: -0.042866 Loss_D_fake -0.011363
[318/5000][440/535][32562] Loss_D: -0.029154 Loss_G: 0.002919 Loss_D_real: -0.002356 Loss_D_fake 0.026798
[318/5000][445/535][32563] Loss_D: -0.031856 Loss_G: 0.011832 Loss_D_real: -0.022923 Loss_D_fake 0.008933
[318/5000][450/535][32564] Loss_D: -0.031162 Loss_G: 0.022880 Loss_D_real: -0.022443 Loss_D_fake 0.008719
[318/5000][455/535][32565] Loss_D: -0.031789 Loss_G: 0.006712 Loss_D_real: -0.014041 Loss_D_fake 0.017748
[318/5000][460/535][32566] Loss_D: -0.030159 Loss_G: 0.034680 Loss_D_real: -0.029431 Loss_D_fake 0.000727
[318/5000][465/535][32567] Loss_D: -0.031446 Loss_G: -0.009626 Loss_D_real: -0.003903 Loss_D_fake 0.027543
[318/5000][470/535][32568] Loss_D: -0.031148 Loss_G: 0.008779 Loss_D_real: -0.017421 Loss_D_fake 0.013727
[318/5000][475/535][32569] Loss_D: -0.031487 Loss_G: 0.007385 Loss_D_real: -0.023752 Loss_D_fake 0.007735
[318/5000][480/535][32570] Loss_D: -0.031349 Loss_G: 0.036829 Loss_D_real: -0.028801 Loss_D_fake 0.002548
[318/5000][485/535][32571] Loss_D: -0.030770 Loss_G: -0.013410 Loss_D_real: -0.006344 Loss_D_fake 0.024425
[318/5000][490/535][32572] Loss_D: -0.030329 Loss_G: 0.007079 Loss_D_real: -0.015784 Loss_D_fake 0.014545
[318/5000][495/535][32573] Loss_D: -0.032267 Loss_G: 0.020386 Loss_D_real: -0.019949 Loss_D_fake 0.012318
[318/5000][500/535][32574] Loss_D: -0.031824 Loss_G: 0.008297 Loss_D_real: -0.024582 Loss_D_fake 0.007242
[318/5000][505/535][32575] Loss_D: -0.032122 Loss_G: 0.035538 Loss_D_real: -0.034713 Loss_D_fake -0.002591
[318/5000][510/535][32576] Loss_D: -0.031908 Loss_G: -0.001560 Loss_D_real: -0.012511 Loss_D_fake 0.019397
[318/5000][515/535][32577] Loss_D: -0.030492 Loss_G: 0.014449 Loss_D_real: -0.014815 Loss_D_fake 0.015678
[318/5000][520/535][32578] Loss_D: -0.029683 Loss_G: 0.036073 Loss_D_real: -0.038690 Loss_D_fake -0.009006
[318/5000][525/535][32579] Loss_D: -0.032486 Loss_G: 0.024403 Loss_D_real: -0.024340 Loss_D_fake 0.008146
[318/5000][530/535][32580] Loss_D: -0.031822 Loss_G: 0.016202 Loss_D_real: -0.019124 Loss_D_fake 0.012699
[318/5000][535/535][32581] Loss_D: -0.033025 Loss_G: 0.042312 Loss_D_real: -0.026168 Loss_D_fake 0.006856
[319/5000][5/535][32582] Loss_D: -0.031286 Loss_G: 0.002224 Loss_D_real: -0.009597 Loss_D_fake 0.021689
[319/5000][10/535][32583] Loss_D: -0.029822 Loss_G: 0.032285 Loss_D_real: -0.039225 Loss_D_fake -0.009403
[319/5000][15/535][32584] Loss_D: -0.030489 Loss_G: 0.007844 Loss_D_real: -0.008422 Loss_D_fake 0.022067
[319/5000][20/535][32585] Loss_D: -0.030593 Loss_G: 0.032904 Loss_D_real: -0.032409 Loss_D_fake -0.001816
[319/5000][25/535][32586] Loss_D: -0.031689 Loss_G: 0.017658 Loss_D_real: -0.023737 Loss_D_fake 0.007952
[319/5000][30/535][32587] Loss_D: -0.032579 Loss_G: 0.003634 Loss_D_real: -0.003420 Loss_D_fake 0.029159
[319/5000][35/535][32588] Loss_D: -0.030051 Loss_G: 0.004307 Loss_D_real: -0.013596 Loss_D_fake 0.016455
[319/5000][40/535][32589] Loss_D: -0.030100 Loss_G: 0.021116 Loss_D_real: -0.026946 Loss_D_fake 0.003154
[319/5000][45/535][32590] Loss_D: -0.030842 Loss_G: 0.032805 Loss_D_real: -0.033443 Loss_D_fake -0.002601
[319/5000][50/535][32591] Loss_D: -0.030384 Loss_G: -0.004434 Loss_D_real: -0.004312 Loss_D_fake 0.026072
[319/5000][55/535][32592] Loss_D: -0.028287 Loss_G: -0.008730 Loss_D_real: 0.001738 Loss_D_fake 0.030025
[319/5000][60/535][32593] Loss_D: -0.031427 Loss_G: 0.013939 Loss_D_real: -0.015157 Loss_D_fake 0.016270
[319/5000][65/535][32594] Loss_D: -0.031223 Loss_G: 0.018455 Loss_D_real: -0.019468 Loss_D_fake 0.011755
[319/5000][70/535][32595] Loss_D: -0.029606 Loss_G: -0.015677 Loss_D_real: 0.009076 Loss_D_fake 0.038682
[319/5000][75/535][32596] Loss_D: -0.030401 Loss_G: 0.026568 Loss_D_real: -0.030079 Loss_D_fake 0.000322
[319/5000][80/535][32597] Loss_D: -0.030749 Loss_G: -0.008210 Loss_D_real: -0.011581 Loss_D_fake 0.019169
[319/5000][85/535][32598] Loss_D: -0.030766 Loss_G: 0.015044 Loss_D_real: -0.019283 Loss_D_fake 0.011483
[319/5000][90/535][32599] Loss_D: -0.029997 Loss_G: 0.025842 Loss_D_real: -0.025086 Loss_D_fake 0.004911
[319/5000][95/535][32600] Loss_D: -0.030011 Loss_G: 0.007989 Loss_D_real: -0.006257 Loss_D_fake 0.023754
[319/5000][100/535][32601] Loss_D: -0.030896 Loss_G: 0.017965 Loss_D_real: -0.020355 Loss_D_fake 0.010541
[319/5000][105/535][32602] Loss_D: -0.031954 Loss_G: 0.021570 Loss_D_real: -0.024270 Loss_D_fake 0.007683
[319/5000][110/535][32603] Loss_D: -0.031245 Loss_G: 0.031348 Loss_D_real: -0.040968 Loss_D_fake -0.009723
[319/5000][115/535][32604] Loss_D: -0.029682 Loss_G: 0.011669 Loss_D_real: -0.019566 Loss_D_fake 0.010116
[319/5000][120/535][32605] Loss_D: -0.031332 Loss_G: 0.016828 Loss_D_real: -0.033133 Loss_D_fake -0.001801
[319/5000][125/535][32606] Loss_D: -0.031308 Loss_G: 0.003626 Loss_D_real: -0.010524 Loss_D_fake 0.020784
[319/5000][130/535][32607] Loss_D: -0.031608 Loss_G: 0.026472 Loss_D_real: -0.028007 Loss_D_fake 0.003601
[319/5000][135/535][32608] Loss_D: -0.032102 Loss_G: 0.018624 Loss_D_real: -0.025367 Loss_D_fake 0.006735
[319/5000][140/535][32609] Loss_D: -0.031106 Loss_G: 0.014419 Loss_D_real: -0.022553 Loss_D_fake 0.008553
[319/5000][145/535][32610] Loss_D: -0.030752 Loss_G: 0.013637 Loss_D_real: -0.016476 Loss_D_fake 0.014275
[319/5000][150/535][32611] Loss_D: -0.032896 Loss_G: 0.011176 Loss_D_real: -0.015388 Loss_D_fake 0.017508
[319/5000][155/535][32612] Loss_D: -0.031600 Loss_G: 0.026644 Loss_D_real: -0.030388 Loss_D_fake 0.001212
[319/5000][160/535][32613] Loss_D: -0.033524 Loss_G: 0.008406 Loss_D_real: -0.011306 Loss_D_fake 0.022218
[319/5000][165/535][32614] Loss_D: -0.032099 Loss_G: 0.021581 Loss_D_real: -0.021653 Loss_D_fake 0.010447
[319/5000][170/535][32615] Loss_D: -0.030404 Loss_G: 0.012959 Loss_D_real: -0.025447 Loss_D_fake 0.004957
[319/5000][175/535][32616] Loss_D: -0.030521 Loss_G: 0.023284 Loss_D_real: -0.022768 Loss_D_fake 0.007752
[319/5000][180/535][32617] Loss_D: -0.031793 Loss_G: 0.013444 Loss_D_real: -0.017162 Loss_D_fake 0.014631
[319/5000][185/535][32618] Loss_D: -0.028452 Loss_G: 0.043731 Loss_D_real: -0.038858 Loss_D_fake -0.010406
[319/5000][190/535][32619] Loss_D: -0.031778 Loss_G: 0.011300 Loss_D_real: -0.011127 Loss_D_fake 0.020651
[319/5000][195/535][32620] Loss_D: -0.031522 Loss_G: 0.023712 Loss_D_real: -0.016596 Loss_D_fake 0.014926
[319/5000][200/535][32621] Loss_D: -0.031169 Loss_G: 0.018608 Loss_D_real: -0.017723 Loss_D_fake 0.013446
[319/5000][205/535][32622] Loss_D: -0.029873 Loss_G: 0.037874 Loss_D_real: -0.038199 Loss_D_fake -0.008326
[319/5000][210/535][32623] Loss_D: -0.028373 Loss_G: -0.019267 Loss_D_real: 0.010604 Loss_D_fake 0.038976
[319/5000][215/535][32624] Loss_D: -0.030950 Loss_G: 0.021836 Loss_D_real: -0.028104 Loss_D_fake 0.002846
[319/5000][220/535][32625] Loss_D: -0.032333 Loss_G: 0.021900 Loss_D_real: -0.017283 Loss_D_fake 0.015050
[319/5000][225/535][32626] Loss_D: -0.032902 Loss_G: 0.027844 Loss_D_real: -0.021195 Loss_D_fake 0.011706
[319/5000][230/535][32627] Loss_D: -0.032996 Loss_G: 0.020608 Loss_D_real: -0.025015 Loss_D_fake 0.007981
[319/5000][235/535][32628] Loss_D: -0.032398 Loss_G: 0.015679 Loss_D_real: -0.020617 Loss_D_fake 0.011781
[319/5000][240/535][32629] Loss_D: -0.032583 Loss_G: 0.030186 Loss_D_real: -0.031118 Loss_D_fake 0.001465
[319/5000][245/535][32630] Loss_D: -0.031697 Loss_G: 0.000886 Loss_D_real: -0.004453 Loss_D_fake 0.027244
[319/5000][250/535][32631] Loss_D: -0.031104 Loss_G: 0.022238 Loss_D_real: -0.023265 Loss_D_fake 0.007840
[319/5000][255/535][32632] Loss_D: -0.033928 Loss_G: 0.027721 Loss_D_real: -0.040118 Loss_D_fake -0.006190
[319/5000][260/535][32633] Loss_D: -0.030601 Loss_G: -0.001329 Loss_D_real: -0.005412 Loss_D_fake 0.025189
[319/5000][265/535][32634] Loss_D: -0.029236 Loss_G: 0.026267 Loss_D_real: -0.031875 Loss_D_fake -0.002640
[319/5000][270/535][32635] Loss_D: -0.031257 Loss_G: 0.025111 Loss_D_real: -0.033517 Loss_D_fake -0.002259
[319/5000][275/535][32636] Loss_D: -0.033007 Loss_G: 0.036588 Loss_D_real: -0.029589 Loss_D_fake 0.003417
[319/5000][280/535][32637] Loss_D: -0.032430 Loss_G: 0.016849 Loss_D_real: -0.022277 Loss_D_fake 0.010153
[319/5000][285/535][32638] Loss_D: -0.031731 Loss_G: 0.001207 Loss_D_real: -0.017411 Loss_D_fake 0.014320
[319/5000][290/535][32639] Loss_D: -0.031794 Loss_G: 0.009822 Loss_D_real: -0.012838 Loss_D_fake 0.018956
[319/5000][295/535][32640] Loss_D: -0.030514 Loss_G: -0.009021 Loss_D_real: -0.005902 Loss_D_fake 0.024612
[319/5000][300/535][32641] Loss_D: -0.028723 Loss_G: 0.027286 Loss_D_real: -0.037090 Loss_D_fake -0.008367
[319/5000][305/535][32642] Loss_D: -0.031021 Loss_G: -0.014424 Loss_D_real: -0.001946 Loss_D_fake 0.029075
[319/5000][310/535][32643] Loss_D: -0.029344 Loss_G: 0.023150 Loss_D_real: -0.028252 Loss_D_fake 0.001092
[319/5000][315/535][32644] Loss_D: -0.031591 Loss_G: 0.008408 Loss_D_real: -0.014700 Loss_D_fake 0.016890
[319/5000][320/535][32645] Loss_D: -0.030678 Loss_G: 0.025857 Loss_D_real: -0.026697 Loss_D_fake 0.003980
[319/5000][325/535][32646] Loss_D: -0.031667 Loss_G: 0.008315 Loss_D_real: -0.014443 Loss_D_fake 0.017223
[319/5000][330/535][32647] Loss_D: -0.033263 Loss_G: 0.024406 Loss_D_real: -0.024921 Loss_D_fake 0.008342
[319/5000][335/535][32648] Loss_D: -0.029306 Loss_G: 0.038365 Loss_D_real: -0.036735 Loss_D_fake -0.007429
[319/5000][340/535][32649] Loss_D: -0.029403 Loss_G: -0.009719 Loss_D_real: -0.004258 Loss_D_fake 0.025145
[319/5000][345/535][32650] Loss_D: -0.029703 Loss_G: 0.022868 Loss_D_real: -0.028838 Loss_D_fake 0.000865
[319/5000][350/535][32651] Loss_D: -0.031528 Loss_G: 0.000238 Loss_D_real: -0.006501 Loss_D_fake 0.025027
[319/5000][355/535][32652] Loss_D: -0.030538 Loss_G: 0.017628 Loss_D_real: -0.026182 Loss_D_fake 0.004356
[319/5000][360/535][32653] Loss_D: -0.031543 Loss_G: 0.010304 Loss_D_real: -0.014564 Loss_D_fake 0.016979
[319/5000][365/535][32654] Loss_D: -0.029474 Loss_G: -0.006460 Loss_D_real: 0.012766 Loss_D_fake 0.042240
[319/5000][370/535][32655] Loss_D: -0.030137 Loss_G: 0.029511 Loss_D_real: -0.039687 Loss_D_fake -0.009551
[319/5000][375/535][32656] Loss_D: -0.031191 Loss_G: 0.025310 Loss_D_real: -0.028304 Loss_D_fake 0.002887
[319/5000][380/535][32657] Loss_D: -0.031976 Loss_G: 0.010184 Loss_D_real: -0.019797 Loss_D_fake 0.012180
[319/5000][385/535][32658] Loss_D: -0.031538 Loss_G: 0.027095 Loss_D_real: -0.020839 Loss_D_fake 0.010699
[319/5000][390/535][32659] Loss_D: -0.031903 Loss_G: 0.010350 Loss_D_real: -0.013026 Loss_D_fake 0.018877
[319/5000][395/535][32660] Loss_D: -0.032151 Loss_G: 0.025307 Loss_D_real: -0.019566 Loss_D_fake 0.012585
[319/5000][400/535][32661] Loss_D: -0.031543 Loss_G: 0.010235 Loss_D_real: -0.021965 Loss_D_fake 0.009578
[319/5000][405/535][32662] Loss_D: -0.032533 Loss_G: 0.032604 Loss_D_real: -0.040560 Loss_D_fake -0.008027
[319/5000][410/535][32663] Loss_D: -0.032508 Loss_G: 0.006232 Loss_D_real: -0.013843 Loss_D_fake 0.018664
[319/5000][415/535][32664] Loss_D: -0.031007 Loss_G: 0.025067 Loss_D_real: -0.029574 Loss_D_fake 0.001432
[319/5000][420/535][32665] Loss_D: -0.032562 Loss_G: 0.019695 Loss_D_real: -0.020251 Loss_D_fake 0.012311
[319/5000][425/535][32666] Loss_D: -0.031633 Loss_G: 0.038400 Loss_D_real: -0.043241 Loss_D_fake -0.011609
[319/5000][430/535][32667] Loss_D: -0.031849 Loss_G: 0.032937 Loss_D_real: -0.029241 Loss_D_fake 0.002608
[319/5000][435/535][32668] Loss_D: -0.032389 Loss_G: -0.009824 Loss_D_real: -0.003580 Loss_D_fake 0.028809
[319/5000][440/535][32669] Loss_D: -0.031061 Loss_G: 0.032685 Loss_D_real: -0.028892 Loss_D_fake 0.002169
[319/5000][445/535][32670] Loss_D: -0.030827 Loss_G: 0.026534 Loss_D_real: -0.026570 Loss_D_fake 0.004258
[319/5000][450/535][32671] Loss_D: -0.032220 Loss_G: 0.002103 Loss_D_real: -0.012958 Loss_D_fake 0.019262
[319/5000][455/535][32672] Loss_D: -0.031467 Loss_G: 0.003743 Loss_D_real: -0.010820 Loss_D_fake 0.020647
[319/5000][460/535][32673] Loss_D: -0.031636 Loss_G: 0.029723 Loss_D_real: -0.029047 Loss_D_fake 0.002590
[319/5000][465/535][32674] Loss_D: -0.030956 Loss_G: 0.005866 Loss_D_real: -0.009212 Loss_D_fake 0.021744
[319/5000][470/535][32675] Loss_D: -0.031673 Loss_G: 0.027097 Loss_D_real: -0.033059 Loss_D_fake -0.001386
[319/5000][475/535][32676] Loss_D: -0.033051 Loss_G: 0.017706 Loss_D_real: -0.015396 Loss_D_fake 0.017654
[319/5000][480/535][32677] Loss_D: -0.031417 Loss_G: 0.037066 Loss_D_real: -0.031163 Loss_D_fake 0.000253
[319/5000][485/535][32678] Loss_D: -0.031683 Loss_G: -0.003995 Loss_D_real: -0.009012 Loss_D_fake 0.022671
[319/5000][490/535][32679] Loss_D: -0.031244 Loss_G: 0.008565 Loss_D_real: -0.021191 Loss_D_fake 0.010052
[319/5000][495/535][32680] Loss_D: -0.032902 Loss_G: 0.031216 Loss_D_real: -0.024639 Loss_D_fake 0.008263
[319/5000][500/535][32681] Loss_D: -0.031282 Loss_G: 0.023619 Loss_D_real: -0.014723 Loss_D_fake 0.016559
[319/5000][505/535][32682] Loss_D: -0.031298 Loss_G: 0.023213 Loss_D_real: -0.026403 Loss_D_fake 0.004895
[319/5000][510/535][32683] Loss_D: -0.031359 Loss_G: 0.012856 Loss_D_real: -0.019003 Loss_D_fake 0.012356
[319/5000][515/535][32684] Loss_D: -0.031470 Loss_G: 0.011604 Loss_D_real: -0.009563 Loss_D_fake 0.021907
[319/5000][520/535][32685] Loss_D: -0.030993 Loss_G: 0.029043 Loss_D_real: -0.029375 Loss_D_fake 0.001619
[319/5000][525/535][32686] Loss_D: -0.031280 Loss_G: -0.008200 Loss_D_real: 0.000923 Loss_D_fake 0.032203
[319/5000][530/535][32687] Loss_D: -0.029396 Loss_G: 0.029905 Loss_D_real: -0.041853 Loss_D_fake -0.012456
[319/5000][535/535][32688] Loss_D: -0.033922 Loss_G: 0.025408 Loss_D_real: -0.023479 Loss_D_fake 0.010443
[320/5000][5/535][32689] Loss_D: -0.031079 Loss_G: 0.019773 Loss_D_real: -0.022347 Loss_D_fake 0.008731
[320/5000][10/535][32690] Loss_D: -0.031265 Loss_G: 0.026605 Loss_D_real: -0.027909 Loss_D_fake 0.003356
[320/5000][15/535][32691] Loss_D: -0.031350 Loss_G: 0.005000 Loss_D_real: -0.006705 Loss_D_fake 0.024644
[320/5000][20/535][32692] Loss_D: -0.032347 Loss_G: 0.021550 Loss_D_real: -0.022609 Loss_D_fake 0.009738
[320/5000][25/535][32693] Loss_D: -0.031331 Loss_G: -0.016677 Loss_D_real: -0.004379 Loss_D_fake 0.026952
[320/5000][30/535][32694] Loss_D: -0.030020 Loss_G: 0.030438 Loss_D_real: -0.030169 Loss_D_fake -0.000149
[320/5000][35/535][32695] Loss_D: -0.030317 Loss_G: 0.011873 Loss_D_real: -0.017184 Loss_D_fake 0.013134
[320/5000][40/535][32696] Loss_D: -0.030565 Loss_G: 0.012691 Loss_D_real: -0.017793 Loss_D_fake 0.012772
[320/5000][45/535][32697] Loss_D: -0.030812 Loss_G: 0.029814 Loss_D_real: -0.033251 Loss_D_fake -0.002439
[320/5000][50/535][32698] Loss_D: -0.031079 Loss_G: 0.026575 Loss_D_real: -0.022485 Loss_D_fake 0.008593
[320/5000][55/535][32699] Loss_D: -0.031611 Loss_G: -0.001912 Loss_D_real: -0.011397 Loss_D_fake 0.020215
[320/5000][60/535][32700] Loss_D: -0.030436 Loss_G: 0.002270 Loss_D_real: -0.012739 Loss_D_fake 0.017697
[320/5000][65/535][32701] Loss_D: -0.029062 Loss_G: 0.040661 Loss_D_real: -0.034686 Loss_D_fake -0.005624
[320/5000][70/535][32702] Loss_D: -0.032268 Loss_G: 0.001169 Loss_D_real: -0.005627 Loss_D_fake 0.026641
[320/5000][75/535][32703] Loss_D: -0.029746 Loss_G: -0.005895 Loss_D_real: 0.004364 Loss_D_fake 0.034110
[320/5000][80/535][32704] Loss_D: -0.030778 Loss_G: 0.025910 Loss_D_real: -0.029945 Loss_D_fake 0.000833
[320/5000][85/535][32705] Loss_D: -0.032866 Loss_G: 0.007860 Loss_D_real: -0.008216 Loss_D_fake 0.024649
[320/5000][90/535][32706] Loss_D: -0.031821 Loss_G: 0.022712 Loss_D_real: -0.025694 Loss_D_fake 0.006127
[320/5000][95/535][32707] Loss_D: -0.031267 Loss_G: 0.012265 Loss_D_real: -0.015360 Loss_D_fake 0.015907
[320/5000][100/535][32708] Loss_D: -0.032865 Loss_G: 0.010508 Loss_D_real: -0.009056 Loss_D_fake 0.023809
[320/5000][105/535][32709] Loss_D: -0.030787 Loss_G: 0.022453 Loss_D_real: -0.021588 Loss_D_fake 0.009199
[320/5000][110/535][32710] Loss_D: -0.030450 Loss_G: 0.024025 Loss_D_real: -0.024972 Loss_D_fake 0.005479
[320/5000][115/535][32711] Loss_D: -0.031488 Loss_G: 0.004643 Loss_D_real: -0.009410 Loss_D_fake 0.022079
[320/5000][120/535][32712] Loss_D: -0.031357 Loss_G: 0.012590 Loss_D_real: -0.014555 Loss_D_fake 0.016802
[320/5000][125/535][32713] Loss_D: -0.032091 Loss_G: 0.032129 Loss_D_real: -0.039189 Loss_D_fake -0.007097
[320/5000][130/535][32714] Loss_D: -0.031379 Loss_G: 0.023979 Loss_D_real: -0.020591 Loss_D_fake 0.010788
[320/5000][135/535][32715] Loss_D: -0.031849 Loss_G: 0.004611 Loss_D_real: -0.006374 Loss_D_fake 0.025475
[320/5000][140/535][32716] Loss_D: -0.030092 Loss_G: 0.030916 Loss_D_real: -0.032773 Loss_D_fake -0.002681
[320/5000][145/535][32717] Loss_D: -0.032790 Loss_G: 0.010119 Loss_D_real: -0.009776 Loss_D_fake 0.023014
[320/5000][150/535][32718] Loss_D: -0.031673 Loss_G: 0.023351 Loss_D_real: -0.020678 Loss_D_fake 0.010995
[320/5000][155/535][32719] Loss_D: -0.032027 Loss_G: 0.033401 Loss_D_real: -0.023828 Loss_D_fake 0.008199
[320/5000][160/535][32720] Loss_D: -0.031737 Loss_G: 0.014730 Loss_D_real: -0.023149 Loss_D_fake 0.008588
[320/5000][165/535][32721] Loss_D: -0.032920 Loss_G: 0.003529 Loss_D_real: -0.019381 Loss_D_fake 0.013539
[320/5000][170/535][32722] Loss_D: -0.031515 Loss_G: 0.033022 Loss_D_real: -0.032602 Loss_D_fake -0.001086
[320/5000][175/535][32723] Loss_D: -0.032802 Loss_G: -0.000543 Loss_D_real: -0.006292 Loss_D_fake 0.026510
[320/5000][180/535][32724] Loss_D: -0.030141 Loss_G: 0.016444 Loss_D_real: -0.019359 Loss_D_fake 0.010782
[320/5000][185/535][32725] Loss_D: -0.032001 Loss_G: 0.005689 Loss_D_real: -0.013508 Loss_D_fake 0.018493
[320/5000][190/535][32726] Loss_D: -0.031280 Loss_G: 0.021089 Loss_D_real: -0.029453 Loss_D_fake 0.001827
[320/5000][195/535][32727] Loss_D: -0.031424 Loss_G: 0.015867 Loss_D_real: -0.022842 Loss_D_fake 0.008582
[320/5000][200/535][32728] Loss_D: -0.031715 Loss_G: 0.023175 Loss_D_real: -0.024939 Loss_D_fake 0.006776
[320/5000][205/535][32729] Loss_D: -0.031030 Loss_G: -0.000396 Loss_D_real: -0.000641 Loss_D_fake 0.030389
[320/5000][210/535][32730] Loss_D: -0.030052 Loss_G: 0.018304 Loss_D_real: -0.018470 Loss_D_fake 0.011583
[320/5000][215/535][32731] Loss_D: -0.031679 Loss_G: 0.010430 Loss_D_real: -0.012857 Loss_D_fake 0.018822
[320/5000][220/535][32732] Loss_D: -0.032152 Loss_G: 0.001308 Loss_D_real: -0.006384 Loss_D_fake 0.025769
[320/5000][225/535][32733] Loss_D: -0.030674 Loss_G: 0.038240 Loss_D_real: -0.030228 Loss_D_fake 0.000446
[320/5000][230/535][32734] Loss_D: -0.029733 Loss_G: -0.019489 Loss_D_real: 0.003838 Loss_D_fake 0.033571
[320/5000][235/535][32735] Loss_D: -0.029770 Loss_G: 0.011902 Loss_D_real: -0.018324 Loss_D_fake 0.011446
[320/5000][240/535][32736] Loss_D: -0.030852 Loss_G: 0.027789 Loss_D_real: -0.026625 Loss_D_fake 0.004227
[320/5000][245/535][32737] Loss_D: -0.030621 Loss_G: -0.002446 Loss_D_real: 0.000100 Loss_D_fake 0.030722
[320/5000][250/535][32738] Loss_D: -0.030488 Loss_G: 0.025881 Loss_D_real: -0.031815 Loss_D_fake -0.001326
[320/5000][255/535][32739] Loss_D: -0.032424 Loss_G: 0.011853 Loss_D_real: -0.019364 Loss_D_fake 0.013060
[320/5000][260/535][32740] Loss_D: -0.031306 Loss_G: 0.034424 Loss_D_real: -0.025952 Loss_D_fake 0.005354
[320/5000][265/535][32741] Loss_D: -0.030892 Loss_G: -0.005668 Loss_D_real: 0.005793 Loss_D_fake 0.036685
[320/5000][270/535][32742] Loss_D: -0.029781 Loss_G: 0.037169 Loss_D_real: -0.035197 Loss_D_fake -0.005416
[320/5000][275/535][32743] Loss_D: -0.030888 Loss_G: 0.021400 Loss_D_real: -0.016470 Loss_D_fake 0.014419
[320/5000][280/535][32744] Loss_D: -0.030630 Loss_G: 0.034528 Loss_D_real: -0.036072 Loss_D_fake -0.005442
[320/5000][285/535][32745] Loss_D: -0.031393 Loss_G: 0.012972 Loss_D_real: -0.025041 Loss_D_fake 0.006353
[320/5000][290/535][32746] Loss_D: -0.032010 Loss_G: 0.024320 Loss_D_real: -0.023398 Loss_D_fake 0.008612
[320/5000][295/535][32747] Loss_D: -0.031506 Loss_G: 0.020619 Loss_D_real: -0.018864 Loss_D_fake 0.012642
[320/5000][300/535][32748] Loss_D: -0.032042 Loss_G: 0.021270 Loss_D_real: -0.021702 Loss_D_fake 0.010341
[320/5000][305/535][32749] Loss_D: -0.033551 Loss_G: -0.000493 Loss_D_real: -0.016003 Loss_D_fake 0.017548
[320/5000][310/535][32750] Loss_D: -0.030534 Loss_G: 0.036097 Loss_D_real: -0.032548 Loss_D_fake -0.002013
[320/5000][315/535][32751] Loss_D: -0.029277 Loss_G: 0.035890 Loss_D_real: -0.041901 Loss_D_fake -0.012624
[320/5000][320/535][32752] Loss_D: -0.033361 Loss_G: 0.015527 Loss_D_real: -0.027723 Loss_D_fake 0.005638
[320/5000][325/535][32753] Loss_D: -0.030779 Loss_G: 0.031041 Loss_D_real: -0.032583 Loss_D_fake -0.001803
[320/5000][330/535][32754] Loss_D: -0.031567 Loss_G: 0.010796 Loss_D_real: -0.016228 Loss_D_fake 0.015340
[320/5000][335/535][32755] Loss_D: -0.032253 Loss_G: 0.026929 Loss_D_real: -0.026912 Loss_D_fake 0.005341
[320/5000][340/535][32756] Loss_D: -0.031289 Loss_G: 0.020824 Loss_D_real: -0.022852 Loss_D_fake 0.008437
[320/5000][345/535][32757] Loss_D: -0.032853 Loss_G: 0.002993 Loss_D_real: -0.023621 Loss_D_fake 0.009233
[320/5000][350/535][32758] Loss_D: -0.030403 Loss_G: 0.035218 Loss_D_real: -0.036783 Loss_D_fake -0.006380
[320/5000][355/535][32759] Loss_D: -0.031826 Loss_G: 0.018020 Loss_D_real: -0.018978 Loss_D_fake 0.012848
[320/5000][360/535][32760] Loss_D: -0.031717 Loss_G: -0.010764 Loss_D_real: -0.001148 Loss_D_fake 0.030569
[320/5000][365/535][32761] Loss_D: -0.031237 Loss_G: 0.016798 Loss_D_real: -0.017887 Loss_D_fake 0.013351
[320/5000][370/535][32762] Loss_D: -0.030840 Loss_G: 0.007807 Loss_D_real: -0.011474 Loss_D_fake 0.019366
[320/5000][375/535][32763] Loss_D: -0.031509 Loss_G: 0.028266 Loss_D_real: -0.029472 Loss_D_fake 0.002037
[320/5000][380/535][32764] Loss_D: -0.031047 Loss_G: 0.023095 Loss_D_real: -0.022271 Loss_D_fake 0.008776
[320/5000][385/535][32765] Loss_D: -0.032500 Loss_G: 0.010265 Loss_D_real: -0.010292 Loss_D_fake 0.022208
[320/5000][390/535][32766] Loss_D: -0.032355 Loss_G: 0.021121 Loss_D_real: -0.017028 Loss_D_fake 0.015327
[320/5000][395/535][32767] Loss_D: -0.031253 Loss_G: 0.011485 Loss_D_real: -0.020624 Loss_D_fake 0.010628
[320/5000][400/535][32768] Loss_D: -0.029724 Loss_G: -0.006093 Loss_D_real: -0.010885 Loss_D_fake 0.018839
[320/5000][405/535][32769] Loss_D: -0.031063 Loss_G: 0.030791 Loss_D_real: -0.031300 Loss_D_fake -0.000237
[320/5000][410/535][32770] Loss_D: -0.032537 Loss_G: 0.008263 Loss_D_real: -0.008663 Loss_D_fake 0.023873
[320/5000][415/535][32771] Loss_D: -0.031784 Loss_G: 0.019230 Loss_D_real: -0.029698 Loss_D_fake 0.002086
[320/5000][420/535][32772] Loss_D: -0.031374 Loss_G: 0.016600 Loss_D_real: -0.019467 Loss_D_fake 0.011907
[320/5000][425/535][32773] Loss_D: -0.029905 Loss_G: 0.029735 Loss_D_real: -0.029448 Loss_D_fake 0.000457
[320/5000][430/535][32774] Loss_D: -0.030765 Loss_G: 0.031388 Loss_D_real: -0.027927 Loss_D_fake 0.002837
[320/5000][435/535][32775] Loss_D: -0.031009 Loss_G: 0.022007 Loss_D_real: -0.017499 Loss_D_fake 0.013510
[320/5000][440/535][32776] Loss_D: -0.029981 Loss_G: -0.008638 Loss_D_real: -0.001691 Loss_D_fake 0.028289
[320/5000][445/535][32777] Loss_D: -0.029827 Loss_G: 0.029491 Loss_D_real: -0.034048 Loss_D_fake -0.004221
[320/5000][450/535][32778] Loss_D: -0.030932 Loss_G: 0.012801 Loss_D_real: -0.013081 Loss_D_fake 0.017850
[320/5000][455/535][32779] Loss_D: -0.031334 Loss_G: 0.017514 Loss_D_real: -0.022092 Loss_D_fake 0.009241
[320/5000][460/535][32780] Loss_D: -0.031807 Loss_G: 0.010040 Loss_D_real: -0.016044 Loss_D_fake 0.015764
[320/5000][465/535][32781] Loss_D: -0.031428 Loss_G: 0.011420 Loss_D_real: -0.014447 Loss_D_fake 0.016980
[320/5000][470/535][32782] Loss_D: -0.029934 Loss_G: -0.013129 Loss_D_real: -0.006737 Loss_D_fake 0.023197
[320/5000][475/535][32783] Loss_D: -0.029198 Loss_G: 0.027561 Loss_D_real: -0.043480 Loss_D_fake -0.014283
[320/5000][480/535][32784] Loss_D: -0.030306 Loss_G: 0.010260 Loss_D_real: -0.015366 Loss_D_fake 0.014940
[320/5000][485/535][32785] Loss_D: -0.031202 Loss_G: 0.024804 Loss_D_real: -0.018316 Loss_D_fake 0.012886
[320/5000][490/535][32786] Loss_D: -0.031103 Loss_G: 0.022098 Loss_D_real: -0.024493 Loss_D_fake 0.006609
[320/5000][495/535][32787] Loss_D: -0.031868 Loss_G: 0.006415 Loss_D_real: -0.016440 Loss_D_fake 0.015428
[320/5000][500/535][32788] Loss_D: -0.031519 Loss_G: 0.029094 Loss_D_real: -0.029416 Loss_D_fake 0.002103
[320/5000][505/535][32789] Loss_D: -0.031390 Loss_G: 0.021808 Loss_D_real: -0.028610 Loss_D_fake 0.002780
[320/5000][510/535][32790] Loss_D: -0.032534 Loss_G: 0.001319 Loss_D_real: -0.012449 Loss_D_fake 0.020085
[320/5000][515/535][32791] Loss_D: -0.030966 Loss_G: 0.033329 Loss_D_real: -0.029914 Loss_D_fake 0.001052
[320/5000][520/535][32792] Loss_D: -0.029842 Loss_G: -0.006165 Loss_D_real: 0.003464 Loss_D_fake 0.033306
[320/5000][525/535][32793] Loss_D: -0.030985 Loss_G: 0.024000 Loss_D_real: -0.024098 Loss_D_fake 0.006887
[320/5000][530/535][32794] Loss_D: -0.031095 Loss_G: 0.002610 Loss_D_real: -0.019540 Loss_D_fake 0.011555
[320/5000][535/535][32795] Loss_D: -0.026332 Loss_G: 0.047633 Loss_D_real: -0.036945 Loss_D_fake -0.010613
[321/5000][5/535][32796] Loss_D: -0.031228 Loss_G: 0.008958 Loss_D_real: -0.014085 Loss_D_fake 0.017143
[321/5000][10/535][32797] Loss_D: -0.030433 Loss_G: 0.022720 Loss_D_real: -0.024712 Loss_D_fake 0.005721
[321/5000][15/535][32798] Loss_D: -0.028936 Loss_G: 0.012371 Loss_D_real: -0.016044 Loss_D_fake 0.012892
[321/5000][20/535][32799] Loss_D: -0.030961 Loss_G: -0.009511 Loss_D_real: -0.004156 Loss_D_fake 0.026805
[321/5000][25/535][32800] Loss_D: -0.029671 Loss_G: 0.029173 Loss_D_real: -0.030115 Loss_D_fake -0.000444
[321/5000][30/535][32801] Loss_D: -0.031056 Loss_G: -0.003828 Loss_D_real: -0.006435 Loss_D_fake 0.024621
[321/5000][35/535][32802] Loss_D: -0.029803 Loss_G: 0.032372 Loss_D_real: -0.029336 Loss_D_fake 0.000466
[321/5000][40/535][32803] Loss_D: -0.030566 Loss_G: 0.024204 Loss_D_real: -0.021660 Loss_D_fake 0.008905
[321/5000][45/535][32804] Loss_D: -0.031101 Loss_G: 0.027274 Loss_D_real: -0.028055 Loss_D_fake 0.003046
[321/5000][50/535][32805] Loss_D: -0.030672 Loss_G: 0.017555 Loss_D_real: -0.020039 Loss_D_fake 0.010632
[321/5000][55/535][32806] Loss_D: -0.031663 Loss_G: 0.015591 Loss_D_real: -0.025044 Loss_D_fake 0.006619
[321/5000][60/535][32807] Loss_D: -0.029242 Loss_G: 0.038034 Loss_D_real: -0.034499 Loss_D_fake -0.005257
[321/5000][65/535][32808] Loss_D: -0.030183 Loss_G: 0.011565 Loss_D_real: -0.012132 Loss_D_fake 0.018051
[321/5000][70/535][32809] Loss_D: -0.031741 Loss_G: 0.039069 Loss_D_real: -0.023258 Loss_D_fake 0.008483
[321/5000][75/535][32810] Loss_D: -0.029545 Loss_G: -0.015652 Loss_D_real: -0.001015 Loss_D_fake 0.028530
[321/5000][80/535][32811] Loss_D: -0.029362 Loss_G: 0.024134 Loss_D_real: -0.023636 Loss_D_fake 0.005726
[321/5000][85/535][32812] Loss_D: -0.030865 Loss_G: -0.000953 Loss_D_real: -0.006334 Loss_D_fake 0.024532
[321/5000][90/535][32813] Loss_D: -0.031662 Loss_G: 0.014668 Loss_D_real: -0.026655 Loss_D_fake 0.005006
[321/5000][95/535][32814] Loss_D: -0.033297 Loss_G: 0.022721 Loss_D_real: -0.018673 Loss_D_fake 0.014624
[321/5000][100/535][32815] Loss_D: -0.030868 Loss_G: 0.027062 Loss_D_real: -0.028606 Loss_D_fake 0.002261
[321/5000][105/535][32816] Loss_D: -0.031001 Loss_G: -0.005508 Loss_D_real: 0.002679 Loss_D_fake 0.033680
[321/5000][110/535][32817] Loss_D: -0.031889 Loss_G: 0.013533 Loss_D_real: -0.023909 Loss_D_fake 0.007980
[321/5000][115/535][32818] Loss_D: -0.029428 Loss_G: 0.026237 Loss_D_real: -0.028834 Loss_D_fake 0.000595
[321/5000][120/535][32819] Loss_D: -0.033405 Loss_G: 0.039365 Loss_D_real: -0.033344 Loss_D_fake 0.000061
[321/5000][125/535][32820] Loss_D: -0.031756 Loss_G: -0.006249 Loss_D_real: -0.002118 Loss_D_fake 0.029638
[321/5000][130/535][32821] Loss_D: -0.031662 Loss_G: 0.029214 Loss_D_real: -0.031079 Loss_D_fake 0.000583
[321/5000][135/535][32822] Loss_D: -0.031805 Loss_G: 0.001461 Loss_D_real: -0.005285 Loss_D_fake 0.026520
[321/5000][140/535][32823] Loss_D: -0.031920 Loss_G: 0.018307 Loss_D_real: -0.021783 Loss_D_fake 0.010137
[321/5000][145/535][32824] Loss_D: -0.031703 Loss_G: 0.009075 Loss_D_real: -0.018347 Loss_D_fake 0.013357
[321/5000][150/535][32825] Loss_D: -0.032678 Loss_G: 0.013139 Loss_D_real: -0.015002 Loss_D_fake 0.017677
[321/5000][155/535][32826] Loss_D: -0.031594 Loss_G: 0.036773 Loss_D_real: -0.025646 Loss_D_fake 0.005948
[321/5000][160/535][32827] Loss_D: -0.031055 Loss_G: 0.000002 Loss_D_real: -0.005779 Loss_D_fake 0.025276
[321/5000][165/535][32828] Loss_D: -0.031032 Loss_G: 0.020756 Loss_D_real: -0.027029 Loss_D_fake 0.004003
[321/5000][170/535][32829] Loss_D: -0.031455 Loss_G: 0.027247 Loss_D_real: -0.024340 Loss_D_fake 0.007114
[321/5000][175/535][32830] Loss_D: -0.030785 Loss_G: 0.024619 Loss_D_real: -0.019664 Loss_D_fake 0.011120
[321/5000][180/535][32831] Loss_D: -0.029795 Loss_G: -0.018014 Loss_D_real: 0.005310 Loss_D_fake 0.035105
[321/5000][185/535][32832] Loss_D: -0.030456 Loss_G: 0.016704 Loss_D_real: -0.031829 Loss_D_fake -0.001374
[321/5000][190/535][32833] Loss_D: -0.033380 Loss_G: 0.016727 Loss_D_real: -0.027285 Loss_D_fake 0.006095
[321/5000][195/535][32834] Loss_D: -0.031683 Loss_G: 0.025408 Loss_D_real: -0.032809 Loss_D_fake -0.001126
[321/5000][200/535][32835] Loss_D: -0.031970 Loss_G: 0.023769 Loss_D_real: -0.033340 Loss_D_fake -0.001369
[321/5000][205/535][32836] Loss_D: -0.032740 Loss_G: 0.023834 Loss_D_real: -0.022080 Loss_D_fake 0.010660
[321/5000][210/535][32837] Loss_D: -0.031554 Loss_G: 0.027616 Loss_D_real: -0.033283 Loss_D_fake -0.001729
[321/5000][215/535][32838] Loss_D: -0.031800 Loss_G: 0.005790 Loss_D_real: -0.004697 Loss_D_fake 0.027103
[321/5000][220/535][32839] Loss_D: -0.029452 Loss_G: 0.028852 Loss_D_real: -0.032584 Loss_D_fake -0.003132
[321/5000][225/535][32840] Loss_D: -0.032523 Loss_G: 0.012839 Loss_D_real: -0.016540 Loss_D_fake 0.015982
[321/5000][230/535][32841] Loss_D: -0.031585 Loss_G: 0.023687 Loss_D_real: -0.017759 Loss_D_fake 0.013826
[321/5000][235/535][32842] Loss_D: -0.031541 Loss_G: 0.028275 Loss_D_real: -0.027184 Loss_D_fake 0.004357
[321/5000][240/535][32843] Loss_D: -0.032146 Loss_G: 0.006328 Loss_D_real: -0.014680 Loss_D_fake 0.017466
[321/5000][245/535][32844] Loss_D: -0.030925 Loss_G: 0.028264 Loss_D_real: -0.025629 Loss_D_fake 0.005296
[321/5000][250/535][32845] Loss_D: -0.031110 Loss_G: 0.014309 Loss_D_real: -0.014254 Loss_D_fake 0.016856
[321/5000][255/535][32846] Loss_D: -0.029393 Loss_G: 0.009787 Loss_D_real: -0.012108 Loss_D_fake 0.017285
[321/5000][260/535][32847] Loss_D: -0.030327 Loss_G: 0.008293 Loss_D_real: -0.020875 Loss_D_fake 0.009452
[321/5000][265/535][32848] Loss_D: -0.030124 Loss_G: 0.029020 Loss_D_real: -0.032953 Loss_D_fake -0.002829
[321/5000][270/535][32849] Loss_D: -0.031457 Loss_G: 0.024214 Loss_D_real: -0.020750 Loss_D_fake 0.010707
[321/5000][275/535][32850] Loss_D: -0.031263 Loss_G: 0.021884 Loss_D_real: -0.024881 Loss_D_fake 0.006383
[321/5000][280/535][32851] Loss_D: -0.030117 Loss_G: 0.040034 Loss_D_real: -0.040495 Loss_D_fake -0.010378
[321/5000][285/535][32852] Loss_D: -0.032104 Loss_G: 0.010507 Loss_D_real: -0.014890 Loss_D_fake 0.017214
[321/5000][290/535][32853] Loss_D: -0.031749 Loss_G: 0.016032 Loss_D_real: -0.024805 Loss_D_fake 0.006944
[321/5000][295/535][32854] Loss_D: -0.033294 Loss_G: 0.029214 Loss_D_real: -0.021966 Loss_D_fake 0.011328
[321/5000][300/535][32855] Loss_D: -0.031185 Loss_G: 0.033059 Loss_D_real: -0.033102 Loss_D_fake -0.001917
[321/5000][305/535][32856] Loss_D: -0.031884 Loss_G: -0.003065 Loss_D_real: -0.007835 Loss_D_fake 0.024050
[321/5000][310/535][32857] Loss_D: -0.033211 Loss_G: 0.018156 Loss_D_real: -0.019519 Loss_D_fake 0.013692
[321/5000][315/535][32858] Loss_D: -0.031227 Loss_G: 0.007965 Loss_D_real: -0.013824 Loss_D_fake 0.017402
[321/5000][320/535][32859] Loss_D: -0.031856 Loss_G: 0.018731 Loss_D_real: -0.015404 Loss_D_fake 0.016452
[321/5000][325/535][32860] Loss_D: -0.031378 Loss_G: -0.000899 Loss_D_real: -0.009790 Loss_D_fake 0.021588
[321/5000][330/535][32861] Loss_D: -0.031655 Loss_G: 0.027175 Loss_D_real: -0.033589 Loss_D_fake -0.001934
[321/5000][335/535][32862] Loss_D: -0.030083 Loss_G: -0.010782 Loss_D_real: -0.002139 Loss_D_fake 0.027944
[321/5000][340/535][32863] Loss_D: -0.030044 Loss_G: 0.035714 Loss_D_real: -0.030520 Loss_D_fake -0.000476
[321/5000][345/535][32864] Loss_D: -0.029634 Loss_G: -0.004687 Loss_D_real: -0.009534 Loss_D_fake 0.020100
[321/5000][350/535][32865] Loss_D: -0.028521 Loss_G: 0.031919 Loss_D_real: -0.030183 Loss_D_fake -0.001662
[321/5000][355/535][32866] Loss_D: -0.030383 Loss_G: 0.012204 Loss_D_real: -0.016044 Loss_D_fake 0.014339
[321/5000][360/535][32867] Loss_D: -0.030382 Loss_G: 0.026017 Loss_D_real: -0.024698 Loss_D_fake 0.005684
[321/5000][365/535][32868] Loss_D: -0.031816 Loss_G: 0.001288 Loss_D_real: -0.016660 Loss_D_fake 0.015156
[321/5000][370/535][32869] Loss_D: -0.031875 Loss_G: 0.032834 Loss_D_real: -0.036730 Loss_D_fake -0.004855
[321/5000][375/535][32870] Loss_D: -0.031228 Loss_G: -0.002188 Loss_D_real: -0.003635 Loss_D_fake 0.027593
[321/5000][380/535][32871] Loss_D: -0.028925 Loss_G: 0.030962 Loss_D_real: -0.032591 Loss_D_fake -0.003665
[321/5000][385/535][32872] Loss_D: -0.030364 Loss_G: 0.003954 Loss_D_real: -0.010149 Loss_D_fake 0.020216
[321/5000][390/535][32873] Loss_D: -0.030250 Loss_G: 0.018514 Loss_D_real: -0.023488 Loss_D_fake 0.006763
[321/5000][395/535][32874] Loss_D: -0.030699 Loss_G: 0.017170 Loss_D_real: -0.021727 Loss_D_fake 0.008973
[321/5000][400/535][32875] Loss_D: -0.032430 Loss_G: 0.016393 Loss_D_real: -0.020051 Loss_D_fake 0.012379
[321/5000][405/535][32876] Loss_D: -0.031040 Loss_G: 0.018995 Loss_D_real: -0.023939 Loss_D_fake 0.007101
[321/5000][410/535][32877] Loss_D: -0.030573 Loss_G: 0.028768 Loss_D_real: -0.023168 Loss_D_fake 0.007405
[321/5000][415/535][32878] Loss_D: -0.031522 Loss_G: -0.002234 Loss_D_real: -0.006103 Loss_D_fake 0.025419
[321/5000][420/535][32879] Loss_D: -0.030788 Loss_G: 0.021341 Loss_D_real: -0.033359 Loss_D_fake -0.002571
[321/5000][425/535][32880] Loss_D: -0.030329 Loss_G: -0.001342 Loss_D_real: 0.007967 Loss_D_fake 0.038296
[321/5000][430/535][32881] Loss_D: -0.032243 Loss_G: 0.017454 Loss_D_real: -0.023020 Loss_D_fake 0.009223
[321/5000][435/535][32882] Loss_D: -0.030960 Loss_G: 0.002948 Loss_D_real: -0.006464 Loss_D_fake 0.024496
[321/5000][440/535][32883] Loss_D: -0.030461 Loss_G: -0.013386 Loss_D_real: -0.000665 Loss_D_fake 0.029796
[321/5000][445/535][32884] Loss_D: -0.031158 Loss_G: 0.037014 Loss_D_real: -0.028741 Loss_D_fake 0.002418
[321/5000][450/535][32885] Loss_D: -0.032332 Loss_G: 0.020994 Loss_D_real: -0.020695 Loss_D_fake 0.011637
[321/5000][455/535][32886] Loss_D: -0.032201 Loss_G: 0.022883 Loss_D_real: -0.017739 Loss_D_fake 0.014463
[321/5000][460/535][32887] Loss_D: -0.031182 Loss_G: 0.016353 Loss_D_real: -0.026608 Loss_D_fake 0.004574
[321/5000][465/535][32888] Loss_D: -0.032542 Loss_G: -0.007918 Loss_D_real: -0.006323 Loss_D_fake 0.026219
[321/5000][470/535][32889] Loss_D: -0.029894 Loss_G: 0.036082 Loss_D_real: -0.036144 Loss_D_fake -0.006250
[321/5000][475/535][32890] Loss_D: -0.032851 Loss_G: 0.025296 Loss_D_real: -0.023708 Loss_D_fake 0.009143
[321/5000][480/535][32891] Loss_D: -0.030473 Loss_G: 0.005020 Loss_D_real: -0.005509 Loss_D_fake 0.024964
[321/5000][485/535][32892] Loss_D: -0.030675 Loss_G: 0.041859 Loss_D_real: -0.038873 Loss_D_fake -0.008198
[321/5000][490/535][32893] Loss_D: -0.032146 Loss_G: 0.021818 Loss_D_real: -0.023375 Loss_D_fake 0.008770
[321/5000][495/535][32894] Loss_D: -0.031128 Loss_G: 0.006606 Loss_D_real: -0.007083 Loss_D_fake 0.024045
[321/5000][500/535][32895] Loss_D: -0.031099 Loss_G: 0.034443 Loss_D_real: -0.024978 Loss_D_fake 0.006120
[321/5000][505/535][32896] Loss_D: -0.030028 Loss_G: -0.000061 Loss_D_real: -0.007425 Loss_D_fake 0.022604
[321/5000][510/535][32897] Loss_D: -0.030622 Loss_G: 0.028195 Loss_D_real: -0.030224 Loss_D_fake 0.000398
[321/5000][515/535][32898] Loss_D: -0.030868 Loss_G: 0.028082 Loss_D_real: -0.020192 Loss_D_fake 0.010676
[321/5000][520/535][32899] Loss_D: -0.031616 Loss_G: 0.015635 Loss_D_real: -0.019888 Loss_D_fake 0.011727
[321/5000][525/535][32900] Loss_D: -0.030312 Loss_G: 0.010543 Loss_D_real: -0.011846 Loss_D_fake 0.018465
[321/5000][530/535][32901] Loss_D: -0.030103 Loss_G: 0.043187 Loss_D_real: -0.033809 Loss_D_fake -0.003706
[321/5000][535/535][32902] Loss_D: -0.031520 Loss_G: 0.024234 Loss_D_real: -0.028349 Loss_D_fake 0.003171
[322/5000][5/535][32903] Loss_D: -0.031423 Loss_G: -0.000547 Loss_D_real: -0.011593 Loss_D_fake 0.019830
[322/5000][10/535][32904] Loss_D: -0.029579 Loss_G: 0.028870 Loss_D_real: -0.028488 Loss_D_fake 0.001091
[322/5000][15/535][32905] Loss_D: -0.031575 Loss_G: 0.015860 Loss_D_real: -0.023396 Loss_D_fake 0.008179
[322/5000][20/535][32906] Loss_D: -0.032309 Loss_G: 0.030028 Loss_D_real: -0.035072 Loss_D_fake -0.002763
[322/5000][25/535][32907] Loss_D: -0.031939 Loss_G: 0.032856 Loss_D_real: -0.027000 Loss_D_fake 0.004939
[322/5000][30/535][32908] Loss_D: -0.028492 Loss_G: -0.020297 Loss_D_real: 0.015275 Loss_D_fake 0.043767
[322/5000][35/535][32909] Loss_D: -0.030683 Loss_G: 0.010410 Loss_D_real: -0.018727 Loss_D_fake 0.011957
[322/5000][40/535][32910] Loss_D: -0.031452 Loss_G: 0.005941 Loss_D_real: -0.009572 Loss_D_fake 0.021880
[322/5000][45/535][32911] Loss_D: -0.031601 Loss_G: 0.023514 Loss_D_real: -0.035021 Loss_D_fake -0.003419
[322/5000][50/535][32912] Loss_D: -0.032255 Loss_G: 0.002566 Loss_D_real: -0.008453 Loss_D_fake 0.023803
[322/5000][55/535][32913] Loss_D: -0.031194 Loss_G: 0.017268 Loss_D_real: -0.024772 Loss_D_fake 0.006422
[322/5000][60/535][32914] Loss_D: -0.031755 Loss_G: 0.016814 Loss_D_real: -0.016136 Loss_D_fake 0.015619
[322/5000][65/535][32915] Loss_D: -0.029760 Loss_G: 0.040374 Loss_D_real: -0.038946 Loss_D_fake -0.009186
[322/5000][70/535][32916] Loss_D: -0.031695 Loss_G: -0.000944 Loss_D_real: -0.008535 Loss_D_fake 0.023160
[322/5000][75/535][32917] Loss_D: -0.031129 Loss_G: 0.008068 Loss_D_real: -0.020655 Loss_D_fake 0.010474
[322/5000][80/535][32918] Loss_D: -0.032108 Loss_G: 0.025672 Loss_D_real: -0.021989 Loss_D_fake 0.010118
[322/5000][85/535][32919] Loss_D: -0.033303 Loss_G: 0.021829 Loss_D_real: -0.026020 Loss_D_fake 0.007283
[322/5000][90/535][32920] Loss_D: -0.032017 Loss_G: 0.028019 Loss_D_real: -0.026334 Loss_D_fake 0.005684
[322/5000][95/535][32921] Loss_D: -0.031943 Loss_G: 0.014605 Loss_D_real: -0.010185 Loss_D_fake 0.021758
[322/5000][100/535][32922] Loss_D: -0.032038 Loss_G: 0.009887 Loss_D_real: -0.015239 Loss_D_fake 0.016799
[322/5000][105/535][32923] Loss_D: -0.031086 Loss_G: 0.012160 Loss_D_real: -0.016196 Loss_D_fake 0.014891
[322/5000][110/535][32924] Loss_D: -0.031739 Loss_G: 0.015077 Loss_D_real: -0.022401 Loss_D_fake 0.009338
[322/5000][115/535][32925] Loss_D: -0.032117 Loss_G: -0.007022 Loss_D_real: -0.005218 Loss_D_fake 0.026899
[322/5000][120/535][32926] Loss_D: -0.030282 Loss_G: 0.037955 Loss_D_real: -0.027560 Loss_D_fake 0.002722
[322/5000][125/535][32927] Loss_D: -0.031375 Loss_G: 0.012083 Loss_D_real: -0.019544 Loss_D_fake 0.011831
[322/5000][130/535][32928] Loss_D: -0.031793 Loss_G: -0.002344 Loss_D_real: -0.007733 Loss_D_fake 0.024059
[322/5000][135/535][32929] Loss_D: -0.030240 Loss_G: 0.013566 Loss_D_real: -0.025423 Loss_D_fake 0.004817
[322/5000][140/535][32930] Loss_D: -0.032074 Loss_G: 0.010572 Loss_D_real: -0.007469 Loss_D_fake 0.024605
[322/5000][145/535][32931] Loss_D: -0.032493 Loss_G: 0.012492 Loss_D_real: -0.022019 Loss_D_fake 0.010474
[322/5000][150/535][32932] Loss_D: -0.031878 Loss_G: 0.030922 Loss_D_real: -0.027507 Loss_D_fake 0.004372
[322/5000][155/535][32933] Loss_D: -0.031566 Loss_G: 0.018585 Loss_D_real: -0.018768 Loss_D_fake 0.012798
[322/5000][160/535][32934] Loss_D: -0.031205 Loss_G: 0.033665 Loss_D_real: -0.035100 Loss_D_fake -0.003896
[322/5000][165/535][32935] Loss_D: -0.032392 Loss_G: -0.003437 Loss_D_real: -0.013548 Loss_D_fake 0.018844
[322/5000][170/535][32936] Loss_D: -0.031948 Loss_G: 0.021842 Loss_D_real: -0.031251 Loss_D_fake 0.000697
[322/5000][175/535][32937] Loss_D: -0.032046 Loss_G: -0.005398 Loss_D_real: -0.003588 Loss_D_fake 0.028459
[322/5000][180/535][32938] Loss_D: -0.030519 Loss_G: 0.030734 Loss_D_real: -0.023269 Loss_D_fake 0.007250
[322/5000][185/535][32939] Loss_D: -0.030901 Loss_G: 0.000816 Loss_D_real: -0.011018 Loss_D_fake 0.019883
[322/5000][190/535][32940] Loss_D: -0.030827 Loss_G: 0.018751 Loss_D_real: -0.025542 Loss_D_fake 0.005285
[322/5000][195/535][32941] Loss_D: -0.030472 Loss_G: 0.032605 Loss_D_real: -0.034185 Loss_D_fake -0.003714
[322/5000][200/535][32942] Loss_D: -0.032187 Loss_G: 0.001735 Loss_D_real: -0.017017 Loss_D_fake 0.015171
[322/5000][205/535][32943] Loss_D: -0.030262 Loss_G: 0.006505 Loss_D_real: -0.013316 Loss_D_fake 0.016946
[322/5000][210/535][32944] Loss_D: -0.030512 Loss_G: 0.015022 Loss_D_real: -0.023454 Loss_D_fake 0.007058
[322/5000][215/535][32945] Loss_D: -0.031962 Loss_G: 0.028464 Loss_D_real: -0.024772 Loss_D_fake 0.007191
[322/5000][220/535][32946] Loss_D: -0.032138 Loss_G: 0.011078 Loss_D_real: -0.020058 Loss_D_fake 0.012080
[322/5000][225/535][32947] Loss_D: -0.029855 Loss_G: 0.030172 Loss_D_real: -0.033574 Loss_D_fake -0.003719
[322/5000][230/535][32948] Loss_D: -0.030972 Loss_G: 0.004434 Loss_D_real: -0.013178 Loss_D_fake 0.017794
[322/5000][235/535][32949] Loss_D: -0.029045 Loss_G: -0.008299 Loss_D_real: -0.002295 Loss_D_fake 0.026750
[322/5000][240/535][32950] Loss_D: -0.030485 Loss_G: 0.029624 Loss_D_real: -0.029349 Loss_D_fake 0.001136
[322/5000][245/535][32951] Loss_D: -0.031149 Loss_G: 0.004128 Loss_D_real: -0.005627 Loss_D_fake 0.025522
[322/5000][250/535][32952] Loss_D: -0.030284 Loss_G: 0.037743 Loss_D_real: -0.032191 Loss_D_fake -0.001907
[322/5000][255/535][32953] Loss_D: -0.031525 Loss_G: -0.001392 Loss_D_real: -0.005439 Loss_D_fake 0.026086
[322/5000][260/535][32954] Loss_D: -0.030843 Loss_G: 0.028590 Loss_D_real: -0.026151 Loss_D_fake 0.004692
[322/5000][265/535][32955] Loss_D: -0.029998 Loss_G: 0.026715 Loss_D_real: -0.031669 Loss_D_fake -0.001671
[322/5000][270/535][32956] Loss_D: -0.030852 Loss_G: 0.040443 Loss_D_real: -0.033556 Loss_D_fake -0.002703
[322/5000][275/535][32957] Loss_D: -0.030529 Loss_G: 0.011635 Loss_D_real: -0.012234 Loss_D_fake 0.018295
[322/5000][280/535][32958] Loss_D: -0.030568 Loss_G: 0.018422 Loss_D_real: -0.018950 Loss_D_fake 0.011618
[322/5000][285/535][32959] Loss_D: -0.031865 Loss_G: 0.010646 Loss_D_real: -0.020945 Loss_D_fake 0.010919
[322/5000][290/535][32960] Loss_D: -0.031587 Loss_G: 0.030423 Loss_D_real: -0.027517 Loss_D_fake 0.004071
[322/5000][295/535][32961] Loss_D: -0.029973 Loss_G: 0.029912 Loss_D_real: -0.030593 Loss_D_fake -0.000620
[322/5000][300/535][32962] Loss_D: -0.031515 Loss_G: 0.014866 Loss_D_real: -0.013569 Loss_D_fake 0.017945
[322/5000][305/535][32963] Loss_D: -0.030988 Loss_G: 0.026305 Loss_D_real: -0.026407 Loss_D_fake 0.004581
[322/5000][310/535][32964] Loss_D: -0.029238 Loss_G: -0.011514 Loss_D_real: -0.002191 Loss_D_fake 0.027046
[322/5000][315/535][32965] Loss_D: -0.027890 Loss_G: 0.035478 Loss_D_real: -0.043680 Loss_D_fake -0.015790
[322/5000][320/535][32966] Loss_D: -0.030474 Loss_G: 0.023112 Loss_D_real: -0.025795 Loss_D_fake 0.004679
[322/5000][325/535][32967] Loss_D: -0.030650 Loss_G: 0.037373 Loss_D_real: -0.031711 Loss_D_fake -0.001062
[322/5000][330/535][32968] Loss_D: -0.030918 Loss_G: 0.017247 Loss_D_real: -0.014391 Loss_D_fake 0.016527
[322/5000][335/535][32969] Loss_D: -0.031156 Loss_G: 0.015930 Loss_D_real: -0.013795 Loss_D_fake 0.017361
[322/5000][340/535][32970] Loss_D: -0.032137 Loss_G: 0.021494 Loss_D_real: -0.022412 Loss_D_fake 0.009726
[322/5000][345/535][32971] Loss_D: -0.031617 Loss_G: 0.003671 Loss_D_real: -0.012606 Loss_D_fake 0.019010
[322/5000][350/535][32972] Loss_D: -0.032678 Loss_G: 0.017041 Loss_D_real: -0.029174 Loss_D_fake 0.003504
[322/5000][355/535][32973] Loss_D: -0.031892 Loss_G: 0.004635 Loss_D_real: -0.011767 Loss_D_fake 0.020125
[322/5000][360/535][32974] Loss_D: -0.031655 Loss_G: 0.002550 Loss_D_real: -0.012067 Loss_D_fake 0.019588
[322/5000][365/535][32975] Loss_D: -0.032161 Loss_G: 0.038023 Loss_D_real: -0.039701 Loss_D_fake -0.007540
[322/5000][370/535][32976] Loss_D: -0.032658 Loss_G: 0.011319 Loss_D_real: -0.008437 Loss_D_fake 0.024221
[322/5000][375/535][32977] Loss_D: -0.030635 Loss_G: 0.035871 Loss_D_real: -0.036477 Loss_D_fake -0.005842
[322/5000][380/535][32978] Loss_D: -0.032573 Loss_G: 0.012885 Loss_D_real: -0.021931 Loss_D_fake 0.010642
[322/5000][385/535][32979] Loss_D: -0.031891 Loss_G: 0.023412 Loss_D_real: -0.015991 Loss_D_fake 0.015900
[322/5000][390/535][32980] Loss_D: -0.031046 Loss_G: 0.023671 Loss_D_real: -0.036613 Loss_D_fake -0.005567
[322/5000][395/535][32981] Loss_D: -0.032170 Loss_G: 0.007670 Loss_D_real: -0.014777 Loss_D_fake 0.017393
[322/5000][400/535][32982] Loss_D: -0.031567 Loss_G: 0.028764 Loss_D_real: -0.032027 Loss_D_fake -0.000460
[322/5000][405/535][32983] Loss_D: -0.033020 Loss_G: 0.000022 Loss_D_real: -0.008304 Loss_D_fake 0.024716
[322/5000][410/535][32984] Loss_D: -0.031725 Loss_G: 0.018498 Loss_D_real: -0.024784 Loss_D_fake 0.006941
[322/5000][415/535][32985] Loss_D: -0.029608 Loss_G: 0.038014 Loss_D_real: -0.037911 Loss_D_fake -0.008303
[322/5000][420/535][32986] Loss_D: -0.030059 Loss_G: -0.013460 Loss_D_real: 0.000683 Loss_D_fake 0.030742
[322/5000][425/535][32987] Loss_D: -0.029009 Loss_G: 0.024604 Loss_D_real: -0.020789 Loss_D_fake 0.008220
[322/5000][430/535][32988] Loss_D: -0.031496 Loss_G: 0.003668 Loss_D_real: -0.007245 Loss_D_fake 0.024252
[322/5000][435/535][32989] Loss_D: -0.031858 Loss_G: 0.015698 Loss_D_real: -0.021676 Loss_D_fake 0.010182
[322/5000][440/535][32990] Loss_D: -0.032235 Loss_G: 0.028490 Loss_D_real: -0.020253 Loss_D_fake 0.011982
[322/5000][445/535][32991] Loss_D: -0.032892 Loss_G: 0.013703 Loss_D_real: -0.022047 Loss_D_fake 0.010845
[322/5000][450/535][32992] Loss_D: -0.032454 Loss_G: 0.035799 Loss_D_real: -0.019666 Loss_D_fake 0.012788
[322/5000][455/535][32993] Loss_D: -0.031092 Loss_G: 0.008623 Loss_D_real: -0.012145 Loss_D_fake 0.018947
[322/5000][460/535][32994] Loss_D: -0.031110 Loss_G: 0.000082 Loss_D_real: -0.006709 Loss_D_fake 0.024401
[322/5000][465/535][32995] Loss_D: -0.031145 Loss_G: 0.006496 Loss_D_real: -0.021830 Loss_D_fake 0.009316
[322/5000][470/535][32996] Loss_D: -0.030943 Loss_G: 0.020559 Loss_D_real: -0.018412 Loss_D_fake 0.012531
[322/5000][475/535][32997] Loss_D: -0.031868 Loss_G: 0.020697 Loss_D_real: -0.023879 Loss_D_fake 0.007988
[322/5000][480/535][32998] Loss_D: -0.031415 Loss_G: 0.039433 Loss_D_real: -0.030788 Loss_D_fake 0.000627
[322/5000][485/535][32999] Loss_D: -0.031274 Loss_G: 0.016136 Loss_D_real: -0.021459 Loss_D_fake 0.009815
[322/5000][490/535][33000] Loss_D: -0.032490 Loss_G: 0.007596 Loss_D_real: -0.014370 Loss_D_fake 0.018121
[322/5000][535/535][33001] Loss_D: -0.030211 Loss_G: 0.027429 Loss_D_real: -0.031840 Loss_D_fake -0.001629
[323/5000][5/535][33002] Loss_D: -0.032604 Loss_G: 0.007928 Loss_D_real: -0.011513 Loss_D_fake 0.021091
[323/5000][10/535][33003] Loss_D: -0.031696 Loss_G: 0.009055 Loss_D_real: -0.003101 Loss_D_fake 0.028595
[323/5000][15/535][33004] Loss_D: -0.030556 Loss_G: 0.023317 Loss_D_real: -0.021143 Loss_D_fake 0.009413
[323/5000][20/535][33005] Loss_D: -0.032720 Loss_G: 0.016614 Loss_D_real: -0.014077 Loss_D_fake 0.018642
[323/5000][25/535][33006] Loss_D: -0.029703 Loss_G: 0.025442 Loss_D_real: -0.031852 Loss_D_fake -0.002149
[323/5000][30/535][33007] Loss_D: -0.030878 Loss_G: 0.004973 Loss_D_real: -0.009925 Loss_D_fake 0.020953
[323/5000][35/535][33008] Loss_D: -0.029887 Loss_G: 0.027624 Loss_D_real: -0.025674 Loss_D_fake 0.004213
[323/5000][40/535][33009] Loss_D: -0.031153 Loss_G: 0.010917 Loss_D_real: -0.020140 Loss_D_fake 0.011013
[323/5000][45/535][33010] Loss_D: -0.032357 Loss_G: 0.009878 Loss_D_real: -0.014980 Loss_D_fake 0.017377
[323/5000][50/535][33011] Loss_D: -0.030659 Loss_G: 0.001038 Loss_D_real: -0.005702 Loss_D_fake 0.024957
[323/5000][55/535][33012] Loss_D: -0.030733 Loss_G: 0.033720 Loss_D_real: -0.026986 Loss_D_fake 0.003747
[323/5000][60/535][33013] Loss_D: -0.030250 Loss_G: 0.013461 Loss_D_real: -0.020454 Loss_D_fake 0.009796
[323/5000][65/535][33014] Loss_D: -0.030991 Loss_G: 0.018393 Loss_D_real: -0.027731 Loss_D_fake 0.003260
[323/5000][70/535][33015] Loss_D: -0.031043 Loss_G: 0.005463 Loss_D_real: -0.005022 Loss_D_fake 0.026021
[323/5000][75/535][33016] Loss_D: -0.030336 Loss_G: 0.001517 Loss_D_real: -0.009301 Loss_D_fake 0.021035
[323/5000][80/535][33017] Loss_D: -0.031951 Loss_G: 0.003687 Loss_D_real: -0.011206 Loss_D_fake 0.020745
[323/5000][85/535][33018] Loss_D: -0.029182 Loss_G: 0.034733 Loss_D_real: -0.037074 Loss_D_fake -0.007892
[323/5000][90/535][33019] Loss_D: -0.030333 Loss_G: 0.012991 Loss_D_real: -0.021052 Loss_D_fake 0.009281
[323/5000][95/535][33020] Loss_D: -0.031164 Loss_G: 0.028614 Loss_D_real: -0.020978 Loss_D_fake 0.010186
[323/5000][100/535][33021] Loss_D: -0.030306 Loss_G: 0.018517 Loss_D_real: -0.024841 Loss_D_fake 0.005465
[323/5000][105/535][33022] Loss_D: -0.031284 Loss_G: 0.022648 Loss_D_real: -0.024341 Loss_D_fake 0.006943
[323/5000][110/535][33023] Loss_D: -0.030883 Loss_G: 0.010296 Loss_D_real: -0.008812 Loss_D_fake 0.022070
[323/5000][115/535][33024] Loss_D: -0.029927 Loss_G: 0.034933 Loss_D_real: -0.031502 Loss_D_fake -0.001575
[323/5000][120/535][33025] Loss_D: -0.029367 Loss_G: -0.011831 Loss_D_real: 0.005811 Loss_D_fake 0.035177
[323/5000][125/535][33026] Loss_D: -0.030540 Loss_G: 0.036791 Loss_D_real: -0.027945 Loss_D_fake 0.002595
[323/5000][130/535][33027] Loss_D: -0.030612 Loss_G: 0.017739 Loss_D_real: -0.020886 Loss_D_fake 0.009725
[323/5000][135/535][33028] Loss_D: -0.031436 Loss_G: 0.027534 Loss_D_real: -0.030010 Loss_D_fake 0.001426
[323/5000][140/535][33029] Loss_D: -0.031696 Loss_G: 0.020299 Loss_D_real: -0.020865 Loss_D_fake 0.010831
[323/5000][145/535][33030] Loss_D: -0.031307 Loss_G: 0.020675 Loss_D_real: -0.020463 Loss_D_fake 0.010844
[323/5000][150/535][33031] Loss_D: -0.032963 Loss_G: 0.021708 Loss_D_real: -0.024240 Loss_D_fake 0.008723
[323/5000][155/535][33032] Loss_D: -0.031227 Loss_G: 0.015291 Loss_D_real: -0.010531 Loss_D_fake 0.020696
[323/5000][160/535][33033] Loss_D: -0.031948 Loss_G: 0.017537 Loss_D_real: -0.020400 Loss_D_fake 0.011547
[323/5000][165/535][33034] Loss_D: -0.031733 Loss_G: 0.034497 Loss_D_real: -0.035128 Loss_D_fake -0.003395
[323/5000][170/535][33035] Loss_D: -0.032510 Loss_G: 0.008144 Loss_D_real: -0.016537 Loss_D_fake 0.015973
[323/5000][175/535][33036] Loss_D: -0.027809 Loss_G: 0.048276 Loss_D_real: -0.045746 Loss_D_fake -0.017937
[323/5000][180/535][33037] Loss_D: -0.029826 Loss_G: -0.004232 Loss_D_real: -0.003757 Loss_D_fake 0.026069
[323/5000][185/535][33038] Loss_D: -0.030071 Loss_G: 0.023329 Loss_D_real: -0.019870 Loss_D_fake 0.010201
[323/5000][190/535][33039] Loss_D: -0.032038 Loss_G: 0.012721 Loss_D_real: -0.016558 Loss_D_fake 0.015481
[323/5000][195/535][33040] Loss_D: -0.031852 Loss_G: 0.021911 Loss_D_real: -0.027898 Loss_D_fake 0.003954
[323/5000][200/535][33041] Loss_D: -0.032804 Loss_G: 0.007532 Loss_D_real: -0.019536 Loss_D_fake 0.013268
[323/5000][205/535][33042] Loss_D: -0.031300 Loss_G: 0.033892 Loss_D_real: -0.034250 Loss_D_fake -0.002950
[323/5000][210/535][33043] Loss_D: -0.029760 Loss_G: 0.015975 Loss_D_real: -0.026212 Loss_D_fake 0.003548
[323/5000][215/535][33044] Loss_D: -0.032652 Loss_G: 0.019815 Loss_D_real: -0.016739 Loss_D_fake 0.015912
[323/5000][220/535][33045] Loss_D: -0.032036 Loss_G: 0.020203 Loss_D_real: -0.024939 Loss_D_fake 0.007098
[323/5000][225/535][33046] Loss_D: -0.032346 Loss_G: 0.009845 Loss_D_real: -0.020023 Loss_D_fake 0.012323
[323/5000][230/535][33047] Loss_D: -0.031508 Loss_G: 0.011410 Loss_D_real: -0.024314 Loss_D_fake 0.007194
[323/5000][235/535][33048] Loss_D: -0.030471 Loss_G: 0.031934 Loss_D_real: -0.031528 Loss_D_fake -0.001056
[323/5000][240/535][33049] Loss_D: -0.030061 Loss_G: -0.009697 Loss_D_real: -0.002531 Loss_D_fake 0.027530
[323/5000][245/535][33050] Loss_D: -0.032253 Loss_G: 0.016757 Loss_D_real: -0.023734 Loss_D_fake 0.008519
[323/5000][250/535][33051] Loss_D: -0.032300 Loss_G: 0.005976 Loss_D_real: -0.008684 Loss_D_fake 0.023616
[323/5000][255/535][33052] Loss_D: -0.031314 Loss_G: 0.030698 Loss_D_real: -0.025020 Loss_D_fake 0.006295
[323/5000][260/535][33053] Loss_D: -0.032368 Loss_G: 0.019731 Loss_D_real: -0.016690 Loss_D_fake 0.015678
[323/5000][265/535][33054] Loss_D: -0.033121 Loss_G: 0.000751 Loss_D_real: -0.015346 Loss_D_fake 0.017775
[323/5000][270/535][33055] Loss_D: -0.030929 Loss_G: 0.020703 Loss_D_real: -0.021808 Loss_D_fake 0.009121
[323/5000][275/535][33056] Loss_D: -0.031733 Loss_G: 0.018209 Loss_D_real: -0.018752 Loss_D_fake 0.012981
[323/5000][280/535][33057] Loss_D: -0.031076 Loss_G: 0.001289 Loss_D_real: -0.007309 Loss_D_fake 0.023767
[323/5000][285/535][33058] Loss_D: -0.030377 Loss_G: 0.035514 Loss_D_real: -0.035550 Loss_D_fake -0.005173
[323/5000][290/535][33059] Loss_D: -0.030361 Loss_G: 0.024177 Loss_D_real: -0.025341 Loss_D_fake 0.005020
[323/5000][295/535][33060] Loss_D: -0.030665 Loss_G: 0.013594 Loss_D_real: -0.019567 Loss_D_fake 0.011098
[323/5000][300/535][33061] Loss_D: -0.030842 Loss_G: 0.000975 Loss_D_real: -0.006760 Loss_D_fake 0.024082
[323/5000][305/535][33062] Loss_D: -0.031376 Loss_G: 0.025745 Loss_D_real: -0.030365 Loss_D_fake 0.001010
[323/5000][310/535][33063] Loss_D: -0.030855 Loss_G: 0.038426 Loss_D_real: -0.027711 Loss_D_fake 0.003144
[323/5000][315/535][33064] Loss_D: -0.030491 Loss_G: -0.010262 Loss_D_real: -0.001183 Loss_D_fake 0.029308
[323/5000][320/535][33065] Loss_D: -0.030119 Loss_G: 0.035702 Loss_D_real: -0.036294 Loss_D_fake -0.006175
[323/5000][325/535][33066] Loss_D: -0.029856 Loss_G: 0.009007 Loss_D_real: -0.008950 Loss_D_fake 0.020906
[323/5000][330/535][33067] Loss_D: -0.031221 Loss_G: 0.010537 Loss_D_real: -0.017696 Loss_D_fake 0.013525
[323/5000][335/535][33068] Loss_D: -0.031549 Loss_G: 0.016897 Loss_D_real: -0.025467 Loss_D_fake 0.006082
[323/5000][340/535][33069] Loss_D: -0.032231 Loss_G: 0.007478 Loss_D_real: -0.014885 Loss_D_fake 0.017346
[323/5000][345/535][33070] Loss_D: -0.031595 Loss_G: 0.029628 Loss_D_real: -0.024945 Loss_D_fake 0.006651
[323/5000][350/535][33071] Loss_D: -0.029509 Loss_G: -0.007330 Loss_D_real: -0.004061 Loss_D_fake 0.025448
[323/5000][355/535][33072] Loss_D: -0.031677 Loss_G: 0.033785 Loss_D_real: -0.020357 Loss_D_fake 0.011320
[323/5000][360/535][33073] Loss_D: -0.031337 Loss_G: 0.013602 Loss_D_real: -0.016338 Loss_D_fake 0.014999
[323/5000][365/535][33074] Loss_D: -0.031451 Loss_G: 0.035996 Loss_D_real: -0.027395 Loss_D_fake 0.004056
[323/5000][370/535][33075] Loss_D: -0.031111 Loss_G: -0.009959 Loss_D_real: -0.000483 Loss_D_fake 0.030628
[323/5000][375/535][33076] Loss_D: -0.030504 Loss_G: 0.014525 Loss_D_real: -0.019699 Loss_D_fake 0.010805
[323/5000][380/535][33077] Loss_D: -0.030804 Loss_G: 0.027868 Loss_D_real: -0.026642 Loss_D_fake 0.004162
[323/5000][385/535][33078] Loss_D: -0.030356 Loss_G: 0.036722 Loss_D_real: -0.033677 Loss_D_fake -0.003321
[323/5000][390/535][33079] Loss_D: -0.032179 Loss_G: 0.019529 Loss_D_real: -0.021916 Loss_D_fake 0.010263
[323/5000][395/535][33080] Loss_D: -0.030877 Loss_G: 0.036612 Loss_D_real: -0.034414 Loss_D_fake -0.003537
[323/5000][400/535][33081] Loss_D: -0.031058 Loss_G: -0.003315 Loss_D_real: -0.001666 Loss_D_fake 0.029392
[323/5000][405/535][33082] Loss_D: -0.032051 Loss_G: 0.020689 Loss_D_real: -0.024110 Loss_D_fake 0.007940
[323/5000][410/535][33083] Loss_D: -0.032069 Loss_G: 0.028417 Loss_D_real: -0.030983 Loss_D_fake 0.001086
[323/5000][415/535][33084] Loss_D: -0.032622 Loss_G: 0.026598 Loss_D_real: -0.027057 Loss_D_fake 0.005565
[323/5000][420/535][33085] Loss_D: -0.031941 Loss_G: -0.001484 Loss_D_real: -0.008935 Loss_D_fake 0.023006
[323/5000][425/535][33086] Loss_D: -0.031601 Loss_G: 0.038254 Loss_D_real: -0.033227 Loss_D_fake -0.001626
[323/5000][430/535][33087] Loss_D: -0.030604 Loss_G: -0.010094 Loss_D_real: 0.001982 Loss_D_fake 0.032585
[323/5000][435/535][33088] Loss_D: -0.029063 Loss_G: -0.013968 Loss_D_real: -0.001005 Loss_D_fake 0.028058
[323/5000][440/535][33089] Loss_D: -0.030470 Loss_G: 0.033545 Loss_D_real: -0.033304 Loss_D_fake -0.002834
[323/5000][445/535][33090] Loss_D: -0.031066 Loss_G: -0.001168 Loss_D_real: -0.011314 Loss_D_fake 0.019752
[323/5000][450/535][33091] Loss_D: -0.030835 Loss_G: 0.013573 Loss_D_real: -0.017117 Loss_D_fake 0.013717
[323/5000][455/535][33092] Loss_D: -0.031792 Loss_G: 0.025185 Loss_D_real: -0.025860 Loss_D_fake 0.005933
[323/5000][460/535][33093] Loss_D: -0.031959 Loss_G: 0.008615 Loss_D_real: -0.012334 Loss_D_fake 0.019625
[323/5000][465/535][33094] Loss_D: -0.029946 Loss_G: 0.036720 Loss_D_real: -0.033248 Loss_D_fake -0.003302
[323/5000][470/535][33095] Loss_D: -0.032764 Loss_G: 0.008381 Loss_D_real: -0.015777 Loss_D_fake 0.016987
[323/5000][475/535][33096] Loss_D: -0.029936 Loss_G: 0.029822 Loss_D_real: -0.033652 Loss_D_fake -0.003716
[323/5000][480/535][33097] Loss_D: -0.030391 Loss_G: 0.005369 Loss_D_real: -0.012613 Loss_D_fake 0.017778
[323/5000][485/535][33098] Loss_D: -0.030879 Loss_G: 0.025879 Loss_D_real: -0.027271 Loss_D_fake 0.003608
[323/5000][490/535][33099] Loss_D: -0.031284 Loss_G: 0.011339 Loss_D_real: -0.016725 Loss_D_fake 0.014559
[323/5000][495/535][33100] Loss_D: -0.031130 Loss_G: 0.024691 Loss_D_real: -0.023467 Loss_D_fake 0.007663
[323/5000][500/535][33101] Loss_D: -0.027759 Loss_G: 0.043224 Loss_D_real: -0.035984 Loss_D_fake -0.008224
[323/5000][505/535][33102] Loss_D: -0.029954 Loss_G: 0.007516 Loss_D_real: -0.012202 Loss_D_fake 0.017752
[323/5000][510/535][33103] Loss_D: -0.031464 Loss_G: 0.023900 Loss_D_real: -0.026172 Loss_D_fake 0.005292
[323/5000][515/535][33104] Loss_D: -0.029792 Loss_G: 0.033203 Loss_D_real: -0.034202 Loss_D_fake -0.004411
[323/5000][520/535][33105] Loss_D: -0.030056 Loss_G: -0.011415 Loss_D_real: -0.003850 Loss_D_fake 0.026206
[323/5000][525/535][33106] Loss_D: -0.029438 Loss_G: 0.030071 Loss_D_real: -0.031086 Loss_D_fake -0.001648
[323/5000][530/535][33107] Loss_D: -0.030684 Loss_G: 0.016710 Loss_D_real: -0.013425 Loss_D_fake 0.017259
[323/5000][535/535][33108] Loss_D: -0.027153 Loss_G: 0.003931 Loss_D_real: -0.009107 Loss_D_fake 0.018046
[324/5000][5/535][33109] Loss_D: -0.031770 Loss_G: 0.018241 Loss_D_real: -0.026540 Loss_D_fake 0.005230
[324/5000][10/535][33110] Loss_D: -0.031264 Loss_G: -0.006877 Loss_D_real: -0.008059 Loss_D_fake 0.023204
[324/5000][15/535][33111] Loss_D: -0.029766 Loss_G: 0.036624 Loss_D_real: -0.028691 Loss_D_fake 0.001074
[324/5000][20/535][33112] Loss_D: -0.031198 Loss_G: 0.014663 Loss_D_real: -0.013839 Loss_D_fake 0.017359
[324/5000][25/535][33113] Loss_D: -0.032014 Loss_G: 0.010120 Loss_D_real: -0.018818 Loss_D_fake 0.013196
[324/5000][30/535][33114] Loss_D: -0.032850 Loss_G: 0.011014 Loss_D_real: -0.014167 Loss_D_fake 0.018683
[324/5000][35/535][33115] Loss_D: -0.031011 Loss_G: 0.024964 Loss_D_real: -0.026703 Loss_D_fake 0.004308
[324/5000][40/535][33116] Loss_D: -0.031989 Loss_G: 0.035981 Loss_D_real: -0.036438 Loss_D_fake -0.004449
[324/5000][45/535][33117] Loss_D: -0.032976 Loss_G: 0.010597 Loss_D_real: -0.013795 Loss_D_fake 0.019182
[324/5000][50/535][33118] Loss_D: -0.030373 Loss_G: 0.030121 Loss_D_real: -0.041280 Loss_D_fake -0.010906
[324/5000][55/535][33119] Loss_D: -0.031520 Loss_G: 0.025035 Loss_D_real: -0.022864 Loss_D_fake 0.008656
[324/5000][60/535][33120] Loss_D: -0.031730 Loss_G: 0.027084 Loss_D_real: -0.021033 Loss_D_fake 0.010696
[324/5000][65/535][33121] Loss_D: -0.032430 Loss_G: 0.013548 Loss_D_real: -0.009960 Loss_D_fake 0.022470
[324/5000][70/535][33122] Loss_D: -0.033917 Loss_G: 0.010527 Loss_D_real: -0.020269 Loss_D_fake 0.013648
[324/5000][75/535][33123] Loss_D: -0.031277 Loss_G: 0.033869 Loss_D_real: -0.035412 Loss_D_fake -0.004136
[324/5000][80/535][33124] Loss_D: -0.030438 Loss_G: -0.016059 Loss_D_real: -0.002004 Loss_D_fake 0.028433
[324/5000][85/535][33125] Loss_D: -0.030057 Loss_G: 0.022775 Loss_D_real: -0.022760 Loss_D_fake 0.007297
[324/5000][90/535][33126] Loss_D: -0.030460 Loss_G: 0.001874 Loss_D_real: 0.001440 Loss_D_fake 0.031900
[324/5000][95/535][33127] Loss_D: -0.029321 Loss_G: 0.037994 Loss_D_real: -0.036689 Loss_D_fake -0.007368
[324/5000][100/535][33128] Loss_D: -0.032584 Loss_G: 0.005741 Loss_D_real: -0.016099 Loss_D_fake 0.016484
[324/5000][105/535][33129] Loss_D: -0.031859 Loss_G: 0.029642 Loss_D_real: -0.031431 Loss_D_fake 0.000428
[324/5000][110/535][33130] Loss_D: -0.030905 Loss_G: 0.036890 Loss_D_real: -0.038134 Loss_D_fake -0.007228
[324/5000][115/535][33131] Loss_D: -0.031411 Loss_G: 0.028987 Loss_D_real: -0.027057 Loss_D_fake 0.004354
[324/5000][120/535][33132] Loss_D: -0.032378 Loss_G: 0.012485 Loss_D_real: -0.012328 Loss_D_fake 0.020050
[324/5000][125/535][33133] Loss_D: -0.031795 Loss_G: 0.015143 Loss_D_real: -0.018592 Loss_D_fake 0.013203
[324/5000][130/535][33134] Loss_D: -0.031080 Loss_G: -0.000154 Loss_D_real: -0.002537 Loss_D_fake 0.028543
[324/5000][135/535][33135] Loss_D: -0.030736 Loss_G: 0.032818 Loss_D_real: -0.033825 Loss_D_fake -0.003089
[324/5000][140/535][33136] Loss_D: -0.031177 Loss_G: 0.016029 Loss_D_real: -0.014478 Loss_D_fake 0.016700
[324/5000][145/535][33137] Loss_D: -0.032068 Loss_G: 0.014150 Loss_D_real: -0.021160 Loss_D_fake 0.010908
[324/5000][150/535][33138] Loss_D: -0.030967 Loss_G: 0.016494 Loss_D_real: -0.023420 Loss_D_fake 0.007547
[324/5000][155/535][33139] Loss_D: -0.031951 Loss_G: 0.012437 Loss_D_real: -0.010991 Loss_D_fake 0.020960
[324/5000][160/535][33140] Loss_D: -0.031374 Loss_G: 0.022621 Loss_D_real: -0.019199 Loss_D_fake 0.012175
[324/5000][165/535][33141] Loss_D: -0.031463 Loss_G: -0.002597 Loss_D_real: -0.013916 Loss_D_fake 0.017548
[324/5000][170/535][33142] Loss_D: -0.031854 Loss_G: 0.016162 Loss_D_real: -0.013634 Loss_D_fake 0.018219
[324/5000][175/535][33143] Loss_D: -0.029010 Loss_G: 0.002845 Loss_D_real: -0.013787 Loss_D_fake 0.015223
[324/5000][180/535][33144] Loss_D: -0.030717 Loss_G: 0.043002 Loss_D_real: -0.031437 Loss_D_fake -0.000720
[324/5000][185/535][33145] Loss_D: -0.030866 Loss_G: 0.001428 Loss_D_real: -0.011949 Loss_D_fake 0.018917
[324/5000][190/535][33146] Loss_D: -0.031020 Loss_G: 0.014537 Loss_D_real: -0.019440 Loss_D_fake 0.011579
[324/5000][195/535][33147] Loss_D: -0.031973 Loss_G: 0.015771 Loss_D_real: -0.017632 Loss_D_fake 0.014341
[324/5000][200/535][33148] Loss_D: -0.031576 Loss_G: 0.002583 Loss_D_real: -0.013009 Loss_D_fake 0.018567
[324/5000][205/535][33149] Loss_D: -0.028318 Loss_G: 0.044330 Loss_D_real: -0.033346 Loss_D_fake -0.005028
[324/5000][210/535][33150] Loss_D: -0.031113 Loss_G: 0.005453 Loss_D_real: -0.016429 Loss_D_fake 0.014684
[324/5000][215/535][33151] Loss_D: -0.030164 Loss_G: 0.046656 Loss_D_real: -0.037060 Loss_D_fake -0.006895
[324/5000][220/535][33152] Loss_D: -0.030241 Loss_G: 0.012725 Loss_D_real: -0.012277 Loss_D_fake 0.017964
[324/5000][225/535][33153] Loss_D: -0.030831 Loss_G: 0.029519 Loss_D_real: -0.028471 Loss_D_fake 0.002360
[324/5000][230/535][33154] Loss_D: -0.031284 Loss_G: 0.030140 Loss_D_real: -0.030389 Loss_D_fake 0.000895
[324/5000][235/535][33155] Loss_D: -0.030456 Loss_G: -0.008768 Loss_D_real: -0.004532 Loss_D_fake 0.025924
[324/5000][240/535][33156] Loss_D: -0.029424 Loss_G: 0.026292 Loss_D_real: -0.037566 Loss_D_fake -0.008142
[324/5000][245/535][33157] Loss_D: -0.029418 Loss_G: -0.000537 Loss_D_real: -0.010869 Loss_D_fake 0.018549
[324/5000][250/535][33158] Loss_D: -0.031705 Loss_G: 0.033136 Loss_D_real: -0.024058 Loss_D_fake 0.007647
[324/5000][255/535][33159] Loss_D: -0.030096 Loss_G: 0.027668 Loss_D_real: -0.018231 Loss_D_fake 0.011865
[324/5000][260/535][33160] Loss_D: -0.029545 Loss_G: -0.005577 Loss_D_real: -0.002765 Loss_D_fake 0.026780
[324/5000][265/535][33161] Loss_D: -0.030811 Loss_G: 0.010635 Loss_D_real: -0.016520 Loss_D_fake 0.014291
[324/5000][270/535][33162] Loss_D: -0.029547 Loss_G: 0.034220 Loss_D_real: -0.036817 Loss_D_fake -0.007270
[324/5000][275/535][33163] Loss_D: -0.031551 Loss_G: 0.019307 Loss_D_real: -0.026280 Loss_D_fake 0.005271
[324/5000][280/535][33164] Loss_D: -0.033193 Loss_G: 0.008591 Loss_D_real: -0.020404 Loss_D_fake 0.012789
[324/5000][285/535][33165] Loss_D: -0.030651 Loss_G: 0.027785 Loss_D_real: -0.021893 Loss_D_fake 0.008758
[324/5000][290/535][33166] Loss_D: -0.031367 Loss_G: 0.020182 Loss_D_real: -0.023703 Loss_D_fake 0.007664
[324/5000][295/535][33167] Loss_D: -0.031052 Loss_G: 0.025771 Loss_D_real: -0.028273 Loss_D_fake 0.002779
[324/5000][300/535][33168] Loss_D: -0.032093 Loss_G: 0.018742 Loss_D_real: -0.018349 Loss_D_fake 0.013744
[324/5000][305/535][33169] Loss_D: -0.032218 Loss_G: 0.001057 Loss_D_real: -0.011894 Loss_D_fake 0.020324
[324/5000][310/535][33170] Loss_D: -0.031311 Loss_G: 0.020314 Loss_D_real: -0.024918 Loss_D_fake 0.006393
[324/5000][315/535][33171] Loss_D: -0.030369 Loss_G: -0.004664 Loss_D_real: 0.001274 Loss_D_fake 0.031643
[324/5000][320/535][33172] Loss_D: -0.030576 Loss_G: 0.014668 Loss_D_real: -0.026068 Loss_D_fake 0.004507
[324/5000][325/535][33173] Loss_D: -0.029750 Loss_G: 0.040078 Loss_D_real: -0.033049 Loss_D_fake -0.003298
[324/5000][330/535][33174] Loss_D: -0.031449 Loss_G: 0.019638 Loss_D_real: -0.017517 Loss_D_fake 0.013932
[324/5000][335/535][33175] Loss_D: -0.031048 Loss_G: 0.016881 Loss_D_real: -0.017636 Loss_D_fake 0.013411
[324/5000][340/535][33176] Loss_D: -0.029360 Loss_G: 0.039020 Loss_D_real: -0.030755 Loss_D_fake -0.001394
[324/5000][345/535][33177] Loss_D: -0.029870 Loss_G: 0.000931 Loss_D_real: -0.007758 Loss_D_fake 0.022112
[324/5000][350/535][33178] Loss_D: -0.031697 Loss_G: 0.031235 Loss_D_real: -0.030584 Loss_D_fake 0.001113
[324/5000][355/535][33179] Loss_D: -0.031315 Loss_G: -0.005801 Loss_D_real: -0.008886 Loss_D_fake 0.022428
[324/5000][360/535][33180] Loss_D: -0.031520 Loss_G: 0.018367 Loss_D_real: -0.022741 Loss_D_fake 0.008779
[324/5000][365/535][33181] Loss_D: -0.031586 Loss_G: 0.015500 Loss_D_real: -0.012370 Loss_D_fake 0.019216
[324/5000][370/535][33182] Loss_D: -0.031719 Loss_G: 0.005411 Loss_D_real: -0.016063 Loss_D_fake 0.015656
[324/5000][375/535][33183] Loss_D: -0.029295 Loss_G: 0.046700 Loss_D_real: -0.040478 Loss_D_fake -0.011183
[324/5000][380/535][33184] Loss_D: -0.030976 Loss_G: 0.015366 Loss_D_real: -0.015073 Loss_D_fake 0.015903
[324/5000][385/535][33185] Loss_D: -0.029865 Loss_G: 0.001080 Loss_D_real: -0.008995 Loss_D_fake 0.020871
[324/5000][390/535][33186] Loss_D: -0.029491 Loss_G: -0.015371 Loss_D_real: 0.004709 Loss_D_fake 0.034200
[324/5000][395/535][33187] Loss_D: -0.029718 Loss_G: 0.030464 Loss_D_real: -0.028203 Loss_D_fake 0.001515
[324/5000][400/535][33188] Loss_D: -0.030734 Loss_G: 0.023471 Loss_D_real: -0.031862 Loss_D_fake -0.001127
[324/5000][405/535][33189] Loss_D: -0.031794 Loss_G: 0.007408 Loss_D_real: -0.018429 Loss_D_fake 0.013365
[324/5000][410/535][33190] Loss_D: -0.030425 Loss_G: -0.003704 Loss_D_real: 0.006563 Loss_D_fake 0.036988
[324/5000][415/535][33191] Loss_D: -0.031658 Loss_G: 0.016151 Loss_D_real: -0.028616 Loss_D_fake 0.003042
[324/5000][420/535][33192] Loss_D: -0.032277 Loss_G: 0.021304 Loss_D_real: -0.018619 Loss_D_fake 0.013657
[324/5000][425/535][33193] Loss_D: -0.030454 Loss_G: -0.011399 Loss_D_real: -0.002513 Loss_D_fake 0.027941
[324/5000][430/535][33194] Loss_D: -0.030162 Loss_G: 0.030257 Loss_D_real: -0.025096 Loss_D_fake 0.005066
[324/5000][435/535][33195] Loss_D: -0.032218 Loss_G: 0.023731 Loss_D_real: -0.020314 Loss_D_fake 0.011903
[324/5000][440/535][33196] Loss_D: -0.031757 Loss_G: 0.026067 Loss_D_real: -0.023235 Loss_D_fake 0.008522
[324/5000][445/535][33197] Loss_D: -0.029643 Loss_G: 0.040719 Loss_D_real: -0.044043 Loss_D_fake -0.014401
[324/5000][450/535][33198] Loss_D: -0.032025 Loss_G: 0.015339 Loss_D_real: -0.015161 Loss_D_fake 0.016864
[324/5000][455/535][33199] Loss_D: -0.030575 Loss_G: 0.035950 Loss_D_real: -0.039843 Loss_D_fake -0.009268
[324/5000][460/535][33200] Loss_D: -0.031285 Loss_G: -0.011973 Loss_D_real: -0.007033 Loss_D_fake 0.024252
[324/5000][465/535][33201] Loss_D: -0.031731 Loss_G: 0.015349 Loss_D_real: -0.023601 Loss_D_fake 0.008130
[324/5000][470/535][33202] Loss_D: -0.030195 Loss_G: 0.013591 Loss_D_real: -0.018059 Loss_D_fake 0.012136
[324/5000][475/535][33203] Loss_D: -0.032786 Loss_G: 0.002272 Loss_D_real: -0.019061 Loss_D_fake 0.013725
[324/5000][480/535][33204] Loss_D: -0.030321 Loss_G: 0.025967 Loss_D_real: -0.031713 Loss_D_fake -0.001392
[324/5000][485/535][33205] Loss_D: -0.032383 Loss_G: 0.009989 Loss_D_real: -0.021434 Loss_D_fake 0.010949
[324/5000][490/535][33206] Loss_D: -0.030573 Loss_G: 0.031984 Loss_D_real: -0.031356 Loss_D_fake -0.000783
[324/5000][495/535][33207] Loss_D: -0.031818 Loss_G: 0.010013 Loss_D_real: -0.012238 Loss_D_fake 0.019579
[324/5000][500/535][33208] Loss_D: -0.031265 Loss_G: 0.032337 Loss_D_real: -0.033099 Loss_D_fake -0.001834
[324/5000][505/535][33209] Loss_D: -0.032381 Loss_G: 0.019886 Loss_D_real: -0.013386 Loss_D_fake 0.018995
[324/5000][510/535][33210] Loss_D: -0.030571 Loss_G: 0.034227 Loss_D_real: -0.033641 Loss_D_fake -0.003070
[324/5000][515/535][33211] Loss_D: -0.030299 Loss_G: -0.005786 Loss_D_real: -0.006095 Loss_D_fake 0.024204
[324/5000][520/535][33212] Loss_D: -0.031507 Loss_G: 0.022056 Loss_D_real: -0.033268 Loss_D_fake -0.001760
[324/5000][525/535][33213] Loss_D: -0.031527 Loss_G: 0.005788 Loss_D_real: -0.015414 Loss_D_fake 0.016113
[324/5000][530/535][33214] Loss_D: -0.031983 Loss_G: 0.008523 Loss_D_real: -0.020957 Loss_D_fake 0.011026
[324/5000][535/535][33215] Loss_D: -0.032268 Loss_G: -0.003020 Loss_D_real: -0.017325 Loss_D_fake 0.014943
[325/5000][5/535][33216] Loss_D: -0.031057 Loss_G: 0.021513 Loss_D_real: -0.014080 Loss_D_fake 0.016977
[325/5000][10/535][33217] Loss_D: -0.030022 Loss_G: -0.003854 Loss_D_real: -0.001716 Loss_D_fake 0.028306
[325/5000][15/535][33218] Loss_D: -0.030268 Loss_G: 0.014037 Loss_D_real: -0.021929 Loss_D_fake 0.008339
[325/5000][20/535][33219] Loss_D: -0.030206 Loss_G: 0.024815 Loss_D_real: -0.023698 Loss_D_fake 0.006508
[325/5000][25/535][33220] Loss_D: -0.031931 Loss_G: 0.009557 Loss_D_real: -0.006025 Loss_D_fake 0.025906
[325/5000][30/535][33221] Loss_D: -0.030723 Loss_G: 0.029406 Loss_D_real: -0.030543 Loss_D_fake 0.000180
[325/5000][35/535][33222] Loss_D: -0.032252 Loss_G: 0.012358 Loss_D_real: -0.016631 Loss_D_fake 0.015622
[325/5000][40/535][33223] Loss_D: -0.030603 Loss_G: 0.029712 Loss_D_real: -0.023992 Loss_D_fake 0.006610
[325/5000][45/535][33224] Loss_D: -0.032339 Loss_G: 0.014112 Loss_D_real: -0.015832 Loss_D_fake 0.016508
[325/5000][50/535][33225] Loss_D: -0.031864 Loss_G: -0.010198 Loss_D_real: -0.000436 Loss_D_fake 0.031428
[325/5000][55/535][33226] Loss_D: -0.029098 Loss_G: 0.017472 Loss_D_real: -0.019761 Loss_D_fake 0.009337
[325/5000][60/535][33227] Loss_D: -0.030222 Loss_G: -0.002096 Loss_D_real: -0.012719 Loss_D_fake 0.017503
[325/5000][65/535][33228] Loss_D: -0.029910 Loss_G: 0.022817 Loss_D_real: -0.029619 Loss_D_fake 0.000291
[325/5000][70/535][33229] Loss_D: -0.030848 Loss_G: 0.016131 Loss_D_real: -0.018853 Loss_D_fake 0.011995
[325/5000][75/535][33230] Loss_D: -0.032323 Loss_G: 0.002795 Loss_D_real: -0.015731 Loss_D_fake 0.016592
[325/5000][80/535][33231] Loss_D: -0.031389 Loss_G: 0.024073 Loss_D_real: -0.023303 Loss_D_fake 0.008085
[325/5000][85/535][33232] Loss_D: -0.032866 Loss_G: -0.003328 Loss_D_real: -0.013202 Loss_D_fake 0.019664
[325/5000][90/535][33233] Loss_D: -0.030887 Loss_G: 0.028592 Loss_D_real: -0.033531 Loss_D_fake -0.002644
[325/5000][95/535][33234] Loss_D: -0.031321 Loss_G: 0.014868 Loss_D_real: -0.012809 Loss_D_fake 0.018512
[325/5000][100/535][33235] Loss_D: -0.032588 Loss_G: 0.011791 Loss_D_real: -0.016157 Loss_D_fake 0.016430
[325/5000][105/535][33236] Loss_D: -0.032149 Loss_G: 0.004579 Loss_D_real: -0.008531 Loss_D_fake 0.023618
[325/5000][110/535][33237] Loss_D: -0.030395 Loss_G: 0.041886 Loss_D_real: -0.034295 Loss_D_fake -0.003900
[325/5000][115/535][33238] Loss_D: -0.030711 Loss_G: 0.002896 Loss_D_real: -0.008119 Loss_D_fake 0.022592
[325/5000][120/535][33239] Loss_D: -0.030938 Loss_G: 0.042237 Loss_D_real: -0.032573 Loss_D_fake -0.001635
[325/5000][125/535][33240] Loss_D: -0.031954 Loss_G: -0.003362 Loss_D_real: -0.008627 Loss_D_fake 0.023327
[325/5000][130/535][33241] Loss_D: -0.029827 Loss_G: 0.031401 Loss_D_real: -0.038177 Loss_D_fake -0.008351
[325/5000][135/535][33242] Loss_D: -0.030162 Loss_G: 0.033549 Loss_D_real: -0.028090 Loss_D_fake 0.002071
[325/5000][140/535][33243] Loss_D: -0.031233 Loss_G: 0.007238 Loss_D_real: -0.008955 Loss_D_fake 0.022278
[325/5000][145/535][33244] Loss_D: -0.031666 Loss_G: 0.007521 Loss_D_real: -0.020018 Loss_D_fake 0.011648
[325/5000][150/535][33245] Loss_D: -0.028505 Loss_G: 0.038204 Loss_D_real: -0.039340 Loss_D_fake -0.010836
[325/5000][155/535][33246] Loss_D: -0.032077 Loss_G: 0.015452 Loss_D_real: -0.011461 Loss_D_fake 0.020616
[325/5000][160/535][33247] Loss_D: -0.031351 Loss_G: 0.010287 Loss_D_real: -0.024567 Loss_D_fake 0.006784
[325/5000][165/535][33248] Loss_D: -0.031761 Loss_G: 0.028636 Loss_D_real: -0.029771 Loss_D_fake 0.001990
[325/5000][170/535][33249] Loss_D: -0.030694 Loss_G: -0.016018 Loss_D_real: -0.001308 Loss_D_fake 0.029386
[325/5000][175/535][33250] Loss_D: -0.030468 Loss_G: 0.022747 Loss_D_real: -0.024108 Loss_D_fake 0.006360
[325/5000][180/535][33251] Loss_D: -0.030435 Loss_G: 0.004446 Loss_D_real: -0.010213 Loss_D_fake 0.020222
[325/5000][185/535][33252] Loss_D: -0.031326 Loss_G: 0.027589 Loss_D_real: -0.030610 Loss_D_fake 0.000716
[325/5000][190/535][33253] Loss_D: -0.031618 Loss_G: 0.013545 Loss_D_real: -0.020634 Loss_D_fake 0.010984
[325/5000][195/535][33254] Loss_D: -0.031154 Loss_G: 0.034010 Loss_D_real: -0.030654 Loss_D_fake 0.000500
[325/5000][200/535][33255] Loss_D: -0.030480 Loss_G: -0.000423 Loss_D_real: 0.001874 Loss_D_fake 0.032354
[325/5000][205/535][33256] Loss_D: -0.031064 Loss_G: 0.022180 Loss_D_real: -0.026544 Loss_D_fake 0.004520
[325/5000][210/535][33257] Loss_D: -0.031900 Loss_G: 0.034289 Loss_D_real: -0.026142 Loss_D_fake 0.005758
[325/5000][215/535][33258] Loss_D: -0.031251 Loss_G: 0.016965 Loss_D_real: -0.020714 Loss_D_fake 0.010537
[325/5000][220/535][33259] Loss_D: -0.032112 Loss_G: 0.025952 Loss_D_real: -0.029608 Loss_D_fake 0.002504
[325/5000][225/535][33260] Loss_D: -0.031724 Loss_G: 0.008287 Loss_D_real: -0.013848 Loss_D_fake 0.017876
[325/5000][230/535][33261] Loss_D: -0.031694 Loss_G: 0.010136 Loss_D_real: -0.015805 Loss_D_fake 0.015889
[325/5000][235/535][33262] Loss_D: -0.031667 Loss_G: 0.010536 Loss_D_real: -0.022576 Loss_D_fake 0.009090
[325/5000][240/535][33263] Loss_D: -0.029772 Loss_G: 0.033523 Loss_D_real: -0.031880 Loss_D_fake -0.002108
[325/5000][245/535][33264] Loss_D: -0.030748 Loss_G: -0.003636 Loss_D_real: -0.002764 Loss_D_fake 0.027983
[325/5000][250/535][33265] Loss_D: -0.030297 Loss_G: 0.020088 Loss_D_real: -0.025297 Loss_D_fake 0.005000
[325/5000][255/535][33266] Loss_D: -0.030959 Loss_G: 0.021582 Loss_D_real: -0.020048 Loss_D_fake 0.010911
[325/5000][260/535][33267] Loss_D: -0.031562 Loss_G: 0.017845 Loss_D_real: -0.022179 Loss_D_fake 0.009383
[325/5000][265/535][33268] Loss_D: -0.032220 Loss_G: 0.015595 Loss_D_real: -0.019858 Loss_D_fake 0.012362
[325/5000][270/535][33269] Loss_D: -0.030753 Loss_G: 0.018241 Loss_D_real: -0.024538 Loss_D_fake 0.006216
[325/5000][275/535][33270] Loss_D: -0.031777 Loss_G: 0.020978 Loss_D_real: -0.017964 Loss_D_fake 0.013813
[325/5000][280/535][33271] Loss_D: -0.031670 Loss_G: -0.002092 Loss_D_real: -0.002306 Loss_D_fake 0.029364
[325/5000][285/535][33272] Loss_D: -0.031811 Loss_G: 0.010093 Loss_D_real: -0.015809 Loss_D_fake 0.016002
[325/5000][290/535][33273] Loss_D: -0.032339 Loss_G: 0.031274 Loss_D_real: -0.032278 Loss_D_fake 0.000061
[325/5000][295/535][33274] Loss_D: -0.033015 Loss_G: 0.018246 Loss_D_real: -0.015053 Loss_D_fake 0.017962
[325/5000][300/535][33275] Loss_D: -0.032063 Loss_G: 0.021156 Loss_D_real: -0.022785 Loss_D_fake 0.009279
[325/5000][305/535][33276] Loss_D: -0.031659 Loss_G: 0.027547 Loss_D_real: -0.030636 Loss_D_fake 0.001023
[325/5000][310/535][33277] Loss_D: -0.032019 Loss_G: -0.003868 Loss_D_real: -0.007312 Loss_D_fake 0.024707
[325/5000][315/535][33278] Loss_D: -0.030752 Loss_G: 0.009384 Loss_D_real: -0.013858 Loss_D_fake 0.016894
[325/5000][320/535][33279] Loss_D: -0.028389 Loss_G: 0.036291 Loss_D_real: -0.028186 Loss_D_fake 0.000203
[325/5000][325/535][33280] Loss_D: -0.030008 Loss_G: -0.007241 Loss_D_real: 0.006422 Loss_D_fake 0.036429
[325/5000][330/535][33281] Loss_D: -0.030213 Loss_G: 0.005175 Loss_D_real: -0.011359 Loss_D_fake 0.018853
[325/5000][335/535][33282] Loss_D: -0.030727 Loss_G: 0.032639 Loss_D_real: -0.023854 Loss_D_fake 0.006872
[325/5000][340/535][33283] Loss_D: -0.031029 Loss_G: 0.017219 Loss_D_real: -0.016142 Loss_D_fake 0.014887
[325/5000][345/535][33284] Loss_D: -0.031286 Loss_G: 0.001417 Loss_D_real: -0.008931 Loss_D_fake 0.022355
[325/5000][350/535][33285] Loss_D: -0.031086 Loss_G: 0.013894 Loss_D_real: -0.017337 Loss_D_fake 0.013749
[325/5000][355/535][33286] Loss_D: -0.031887 Loss_G: -0.003953 Loss_D_real: -0.000704 Loss_D_fake 0.031182
[325/5000][360/535][33287] Loss_D: -0.031884 Loss_G: 0.036840 Loss_D_real: -0.029892 Loss_D_fake 0.001992
[325/5000][365/535][33288] Loss_D: -0.032667 Loss_G: 0.017342 Loss_D_real: -0.021601 Loss_D_fake 0.011066
[325/5000][370/535][33289] Loss_D: -0.030049 Loss_G: 0.009441 Loss_D_real: -0.016263 Loss_D_fake 0.013786
[325/5000][375/535][33290] Loss_D: -0.029280 Loss_G: 0.035130 Loss_D_real: -0.031240 Loss_D_fake -0.001959
[325/5000][380/535][33291] Loss_D: -0.031942 Loss_G: 0.009120 Loss_D_real: -0.008267 Loss_D_fake 0.023676
[325/5000][385/535][33292] Loss_D: -0.032634 Loss_G: 0.025380 Loss_D_real: -0.020694 Loss_D_fake 0.011940
[325/5000][390/535][33293] Loss_D: -0.031250 Loss_G: 0.025362 Loss_D_real: -0.029538 Loss_D_fake 0.001712
[325/5000][395/535][33294] Loss_D: -0.030500 Loss_G: 0.034357 Loss_D_real: -0.039981 Loss_D_fake -0.009481
[325/5000][400/535][33295] Loss_D: -0.032280 Loss_G: 0.013721 Loss_D_real: -0.014204 Loss_D_fake 0.018076
[325/5000][405/535][33296] Loss_D: -0.030375 Loss_G: 0.036939 Loss_D_real: -0.032881 Loss_D_fake -0.002507
[325/5000][410/535][33297] Loss_D: -0.030834 Loss_G: 0.003486 Loss_D_real: -0.003969 Loss_D_fake 0.026865
[325/5000][415/535][33298] Loss_D: -0.031695 Loss_G: 0.031966 Loss_D_real: -0.032465 Loss_D_fake -0.000770
[325/5000][420/535][33299] Loss_D: -0.031374 Loss_G: 0.006110 Loss_D_real: -0.017758 Loss_D_fake 0.013617
[325/5000][425/535][33300] Loss_D: -0.030514 Loss_G: 0.024351 Loss_D_real: -0.023214 Loss_D_fake 0.007300
[325/5000][430/535][33301] Loss_D: -0.031306 Loss_G: 0.019276 Loss_D_real: -0.019815 Loss_D_fake 0.011491
[325/5000][435/535][33302] Loss_D: -0.030653 Loss_G: 0.034516 Loss_D_real: -0.030759 Loss_D_fake -0.000106
[325/5000][440/535][33303] Loss_D: -0.030840 Loss_G: -0.003114 Loss_D_real: 0.001302 Loss_D_fake 0.032142
[325/5000][445/535][33304] Loss_D: -0.029527 Loss_G: 0.017421 Loss_D_real: -0.026589 Loss_D_fake 0.002938
[325/5000][450/535][33305] Loss_D: -0.029910 Loss_G: 0.032046 Loss_D_real: -0.028927 Loss_D_fake 0.000983
[325/5000][455/535][33306] Loss_D: -0.031386 Loss_G: 0.002986 Loss_D_real: -0.010766 Loss_D_fake 0.020619
[325/5000][460/535][33307] Loss_D: -0.032385 Loss_G: 0.008855 Loss_D_real: -0.012518 Loss_D_fake 0.019868
[325/5000][465/535][33308] Loss_D: -0.031606 Loss_G: 0.024315 Loss_D_real: -0.032279 Loss_D_fake -0.000672
[325/5000][470/535][33309] Loss_D: -0.030843 Loss_G: 0.010197 Loss_D_real: -0.008991 Loss_D_fake 0.021852
[325/5000][475/535][33310] Loss_D: -0.030812 Loss_G: -0.001221 Loss_D_real: -0.012313 Loss_D_fake 0.018499
[325/5000][480/535][33311] Loss_D: -0.030075 Loss_G: 0.001379 Loss_D_real: -0.008989 Loss_D_fake 0.021086
[325/5000][485/535][33312] Loss_D: -0.030284 Loss_G: 0.018261 Loss_D_real: -0.017237 Loss_D_fake 0.013048
[325/5000][490/535][33313] Loss_D: -0.030178 Loss_G: -0.002303 Loss_D_real: -0.010628 Loss_D_fake 0.019551
[325/5000][495/535][33314] Loss_D: -0.031441 Loss_G: 0.023824 Loss_D_real: -0.021451 Loss_D_fake 0.009990
[325/5000][500/535][33315] Loss_D: -0.030968 Loss_G: 0.011890 Loss_D_real: -0.011719 Loss_D_fake 0.019249
[325/5000][505/535][33316] Loss_D: -0.030169 Loss_G: 0.033530 Loss_D_real: -0.033836 Loss_D_fake -0.003666
[325/5000][510/535][33317] Loss_D: -0.031634 Loss_G: 0.017890 Loss_D_real: -0.017552 Loss_D_fake 0.014082
[325/5000][515/535][33318] Loss_D: -0.031671 Loss_G: 0.001333 Loss_D_real: -0.008473 Loss_D_fake 0.023198
[325/5000][520/535][33319] Loss_D: -0.031012 Loss_G: -0.007194 Loss_D_real: -0.004931 Loss_D_fake 0.026080
[325/5000][525/535][33320] Loss_D: -0.030640 Loss_G: 0.036380 Loss_D_real: -0.031329 Loss_D_fake -0.000689
[325/5000][530/535][33321] Loss_D: -0.030180 Loss_G: 0.002616 Loss_D_real: -0.007554 Loss_D_fake 0.022626
[325/5000][535/535][33322] Loss_D: -0.026812 Loss_G: 0.043281 Loss_D_real: -0.037318 Loss_D_fake -0.010506
[326/5000][5/535][33323] Loss_D: -0.032070 Loss_G: 0.026066 Loss_D_real: -0.016526 Loss_D_fake 0.015545
[326/5000][10/535][33324] Loss_D: -0.031453 Loss_G: 0.020661 Loss_D_real: -0.011881 Loss_D_fake 0.019572
[326/5000][15/535][33325] Loss_D: -0.031286 Loss_G: 0.003518 Loss_D_real: -0.012176 Loss_D_fake 0.019110
[326/5000][20/535][33326] Loss_D: -0.032087 Loss_G: 0.002267 Loss_D_real: -0.015054 Loss_D_fake 0.017033
[326/5000][25/535][33327] Loss_D: -0.029352 Loss_G: 0.038424 Loss_D_real: -0.043547 Loss_D_fake -0.014195
[326/5000][30/535][33328] Loss_D: -0.031428 Loss_G: -0.003187 Loss_D_real: -0.006137 Loss_D_fake 0.025291
[326/5000][35/535][33329] Loss_D: -0.030820 Loss_G: 0.037682 Loss_D_real: -0.034090 Loss_D_fake -0.003270
[326/5000][40/535][33330] Loss_D: -0.031737 Loss_G: 0.009542 Loss_D_real: -0.018222 Loss_D_fake 0.013515
[326/5000][45/535][33331] Loss_D: -0.031055 Loss_G: -0.001889 Loss_D_real: 0.000543 Loss_D_fake 0.031598
[326/5000][50/535][33332] Loss_D: -0.031973 Loss_G: 0.021131 Loss_D_real: -0.032472 Loss_D_fake -0.000499
[326/5000][55/535][33333] Loss_D: -0.031549 Loss_G: 0.020015 Loss_D_real: -0.017292 Loss_D_fake 0.014257
[326/5000][60/535][33334] Loss_D: -0.032593 Loss_G: 0.011410 Loss_D_real: -0.017423 Loss_D_fake 0.015171
[326/5000][65/535][33335] Loss_D: -0.031782 Loss_G: 0.025338 Loss_D_real: -0.021862 Loss_D_fake 0.009920
[326/5000][70/535][33336] Loss_D: -0.031553 Loss_G: 0.005756 Loss_D_real: -0.008007 Loss_D_fake 0.023546
[326/5000][75/535][33337] Loss_D: -0.031029 Loss_G: 0.015944 Loss_D_real: -0.015435 Loss_D_fake 0.015595
[326/5000][80/535][33338] Loss_D: -0.030485 Loss_G: 0.016321 Loss_D_real: -0.021001 Loss_D_fake 0.009484
[326/5000][85/535][33339] Loss_D: -0.031302 Loss_G: 0.010184 Loss_D_real: -0.018355 Loss_D_fake 0.012947
[326/5000][90/535][33340] Loss_D: -0.029367 Loss_G: 0.015441 Loss_D_real: -0.022783 Loss_D_fake 0.006584
[326/5000][95/535][33341] Loss_D: -0.031059 Loss_G: 0.035636 Loss_D_real: -0.031315 Loss_D_fake -0.000257
[326/5000][100/535][33342] Loss_D: -0.031917 Loss_G: 0.003079 Loss_D_real: -0.017132 Loss_D_fake 0.014785
[326/5000][105/535][33343] Loss_D: -0.029663 Loss_G: 0.037967 Loss_D_real: -0.039316 Loss_D_fake -0.009653
[326/5000][110/535][33344] Loss_D: -0.030697 Loss_G: 0.011698 Loss_D_real: -0.018226 Loss_D_fake 0.012471
[326/5000][115/535][33345] Loss_D: -0.032582 Loss_G: 0.020589 Loss_D_real: -0.021981 Loss_D_fake 0.010601
[326/5000][120/535][33346] Loss_D: -0.030914 Loss_G: 0.021198 Loss_D_real: -0.017994 Loss_D_fake 0.012920
[326/5000][125/535][33347] Loss_D: -0.032659 Loss_G: 0.012695 Loss_D_real: -0.017227 Loss_D_fake 0.015432
[326/5000][130/535][33348] Loss_D: -0.029753 Loss_G: 0.031958 Loss_D_real: -0.028629 Loss_D_fake 0.001124
[326/5000][135/535][33349] Loss_D: -0.032516 Loss_G: 0.002054 Loss_D_real: -0.012419 Loss_D_fake 0.020098
[326/5000][140/535][33350] Loss_D: -0.030070 Loss_G: 0.028868 Loss_D_real: -0.031826 Loss_D_fake -0.001756
[326/5000][145/535][33351] Loss_D: -0.031695 Loss_G: 0.032227 Loss_D_real: -0.026441 Loss_D_fake 0.005254
[326/5000][150/535][33352] Loss_D: -0.031379 Loss_G: 0.023579 Loss_D_real: -0.029268 Loss_D_fake 0.002110
[326/5000][155/535][33353] Loss_D: -0.031331 Loss_G: 0.001054 Loss_D_real: -0.012793 Loss_D_fake 0.018538
[326/5000][160/535][33354] Loss_D: -0.031192 Loss_G: 0.008947 Loss_D_real: -0.019613 Loss_D_fake 0.011579
[326/5000][165/535][33355] Loss_D: -0.031620 Loss_G: 0.022741 Loss_D_real: -0.022348 Loss_D_fake 0.009272
[326/5000][170/535][33356] Loss_D: -0.031922 Loss_G: 0.015885 Loss_D_real: -0.022764 Loss_D_fake 0.009159
[326/5000][175/535][33357] Loss_D: -0.031053 Loss_G: 0.031086 Loss_D_real: -0.020423 Loss_D_fake 0.010631
[326/5000][180/535][33358] Loss_D: -0.028305 Loss_G: -0.017125 Loss_D_real: 0.005317 Loss_D_fake 0.033622
[326/5000][185/535][33359] Loss_D: -0.029548 Loss_G: 0.026515 Loss_D_real: -0.027596 Loss_D_fake 0.001951
[326/5000][190/535][33360] Loss_D: -0.031173 Loss_G: 0.004129 Loss_D_real: -0.013268 Loss_D_fake 0.017905
[326/5000][195/535][33361] Loss_D: -0.033519 Loss_G: 0.014565 Loss_D_real: -0.020425 Loss_D_fake 0.013094
[326/5000][200/535][33362] Loss_D: -0.031118 Loss_G: 0.031811 Loss_D_real: -0.040058 Loss_D_fake -0.008940
[326/5000][205/535][33363] Loss_D: -0.032252 Loss_G: 0.020933 Loss_D_real: -0.019767 Loss_D_fake 0.012486
[326/5000][210/535][33364] Loss_D: -0.031513 Loss_G: 0.002327 Loss_D_real: -0.012890 Loss_D_fake 0.018623
[326/5000][215/535][33365] Loss_D: -0.031263 Loss_G: 0.036985 Loss_D_real: -0.030915 Loss_D_fake 0.000348
[326/5000][220/535][33366] Loss_D: -0.030882 Loss_G: 0.018287 Loss_D_real: -0.027665 Loss_D_fake 0.003217
[326/5000][225/535][33367] Loss_D: -0.030773 Loss_G: 0.016519 Loss_D_real: -0.015843 Loss_D_fake 0.014929
[326/5000][230/535][33368] Loss_D: -0.032381 Loss_G: 0.017162 Loss_D_real: -0.020110 Loss_D_fake 0.012271
[326/5000][235/535][33369] Loss_D: -0.032487 Loss_G: 0.016842 Loss_D_real: -0.015737 Loss_D_fake 0.016750
[326/5000][240/535][33370] Loss_D: -0.030832 Loss_G: 0.018712 Loss_D_real: -0.020047 Loss_D_fake 0.010785
[326/5000][245/535][33371] Loss_D: -0.030646 Loss_G: 0.014996 Loss_D_real: -0.019929 Loss_D_fake 0.010717
[326/5000][250/535][33372] Loss_D: -0.031487 Loss_G: 0.020800 Loss_D_real: -0.025511 Loss_D_fake 0.005977
[326/5000][255/535][33373] Loss_D: -0.031027 Loss_G: -0.007806 Loss_D_real: -0.003463 Loss_D_fake 0.027564
[326/5000][260/535][33374] Loss_D: -0.030404 Loss_G: 0.024872 Loss_D_real: -0.025631 Loss_D_fake 0.004773
[326/5000][265/535][33375] Loss_D: -0.029280 Loss_G: 0.032785 Loss_D_real: -0.030032 Loss_D_fake -0.000753
[326/5000][270/535][33376] Loss_D: -0.031871 Loss_G: 0.018716 Loss_D_real: -0.021422 Loss_D_fake 0.010449
[326/5000][275/535][33377] Loss_D: -0.030529 Loss_G: 0.014681 Loss_D_real: -0.021117 Loss_D_fake 0.009412
[326/5000][280/535][33378] Loss_D: -0.031173 Loss_G: 0.035766 Loss_D_real: -0.026939 Loss_D_fake 0.004234
[326/5000][285/535][33379] Loss_D: -0.031265 Loss_G: -0.005068 Loss_D_real: -0.004134 Loss_D_fake 0.027131
[326/5000][290/535][33380] Loss_D: -0.030682 Loss_G: 0.034463 Loss_D_real: -0.038091 Loss_D_fake -0.007409
[326/5000][295/535][33381] Loss_D: -0.029344 Loss_G: -0.022066 Loss_D_real: 0.000275 Loss_D_fake 0.029619
[326/5000][300/535][33382] Loss_D: -0.029610 Loss_G: 0.027544 Loss_D_real: -0.022354 Loss_D_fake 0.007257
[326/5000][305/535][33383] Loss_D: -0.030828 Loss_G: 0.008312 Loss_D_real: -0.011257 Loss_D_fake 0.019571
[326/5000][310/535][33384] Loss_D: -0.031188 Loss_G: 0.020508 Loss_D_real: -0.020238 Loss_D_fake 0.010950
[326/5000][315/535][33385] Loss_D: -0.030701 Loss_G: 0.017163 Loss_D_real: -0.021201 Loss_D_fake 0.009500
[326/5000][320/535][33386] Loss_D: -0.032271 Loss_G: 0.034020 Loss_D_real: -0.029056 Loss_D_fake 0.003215
[326/5000][325/535][33387] Loss_D: -0.032546 Loss_G: 0.013556 Loss_D_real: -0.012851 Loss_D_fake 0.019696
[326/5000][330/535][33388] Loss_D: -0.031242 Loss_G: 0.011812 Loss_D_real: -0.015963 Loss_D_fake 0.015279
[326/5000][335/535][33389] Loss_D: -0.030855 Loss_G: -0.008250 Loss_D_real: -0.009493 Loss_D_fake 0.021362
[326/5000][340/535][33390] Loss_D: -0.029618 Loss_G: 0.028408 Loss_D_real: -0.031340 Loss_D_fake -0.001722
[326/5000][345/535][33391] Loss_D: -0.032079 Loss_G: 0.016400 Loss_D_real: -0.018907 Loss_D_fake 0.013172
[326/5000][350/535][33392] Loss_D: -0.030594 Loss_G: -0.000953 Loss_D_real: -0.013733 Loss_D_fake 0.016861
[326/5000][355/535][33393] Loss_D: -0.029823 Loss_G: 0.037721 Loss_D_real: -0.022800 Loss_D_fake 0.007023
[326/5000][360/535][33394] Loss_D: -0.029538 Loss_G: -0.014145 Loss_D_real: 0.002602 Loss_D_fake 0.032140
[326/5000][365/535][33395] Loss_D: -0.030936 Loss_G: 0.025629 Loss_D_real: -0.032117 Loss_D_fake -0.001181
[326/5000][370/535][33396] Loss_D: -0.031372 Loss_G: -0.013942 Loss_D_real: 0.002651 Loss_D_fake 0.034023
[326/5000][375/535][33397] Loss_D: -0.032300 Loss_G: 0.024794 Loss_D_real: -0.027320 Loss_D_fake 0.004980
[326/5000][380/535][33398] Loss_D: -0.030359 Loss_G: 0.017521 Loss_D_real: -0.022861 Loss_D_fake 0.007498
[326/5000][385/535][33399] Loss_D: -0.031243 Loss_G: 0.030644 Loss_D_real: -0.031771 Loss_D_fake -0.000528
[326/5000][390/535][33400] Loss_D: -0.031717 Loss_G: 0.001594 Loss_D_real: -0.003926 Loss_D_fake 0.027791
[326/5000][395/535][33401] Loss_D: -0.031459 Loss_G: 0.027452 Loss_D_real: -0.025194 Loss_D_fake 0.006265
[326/5000][400/535][33402] Loss_D: -0.030966 Loss_G: -0.005181 Loss_D_real: -0.007138 Loss_D_fake 0.023828
[326/5000][405/535][33403] Loss_D: -0.029873 Loss_G: 0.021216 Loss_D_real: -0.027352 Loss_D_fake 0.002522
[326/5000][410/535][33404] Loss_D: -0.031414 Loss_G: 0.009893 Loss_D_real: -0.016545 Loss_D_fake 0.014869
[326/5000][415/535][33405] Loss_D: -0.030146 Loss_G: 0.007197 Loss_D_real: -0.016186 Loss_D_fake 0.013960
[326/5000][420/535][33406] Loss_D: -0.031569 Loss_G: 0.023947 Loss_D_real: -0.030391 Loss_D_fake 0.001178
[326/5000][425/535][33407] Loss_D: -0.029323 Loss_G: -0.013468 Loss_D_real: 0.011298 Loss_D_fake 0.040621
[326/5000][430/535][33408] Loss_D: -0.028780 Loss_G: 0.011288 Loss_D_real: -0.013915 Loss_D_fake 0.014865
[326/5000][435/535][33409] Loss_D: -0.030284 Loss_G: 0.001824 Loss_D_real: -0.008078 Loss_D_fake 0.022206
[326/5000][440/535][33410] Loss_D: -0.031091 Loss_G: 0.018017 Loss_D_real: -0.018573 Loss_D_fake 0.012518
[326/5000][445/535][33411] Loss_D: -0.031576 Loss_G: 0.022893 Loss_D_real: -0.022896 Loss_D_fake 0.008680
[326/5000][450/535][33412] Loss_D: -0.031510 Loss_G: 0.013301 Loss_D_real: -0.015092 Loss_D_fake 0.016418
[326/5000][455/535][33413] Loss_D: -0.031662 Loss_G: 0.014367 Loss_D_real: -0.021296 Loss_D_fake 0.010366
[326/5000][460/535][33414] Loss_D: -0.030928 Loss_G: 0.001927 Loss_D_real: -0.013682 Loss_D_fake 0.017246
[326/5000][465/535][33415] Loss_D: -0.030551 Loss_G: 0.023134 Loss_D_real: -0.026945 Loss_D_fake 0.003606
[326/5000][470/535][33416] Loss_D: -0.029835 Loss_G: 0.016003 Loss_D_real: -0.017495 Loss_D_fake 0.012340
[326/5000][475/535][33417] Loss_D: -0.031669 Loss_G: 0.010104 Loss_D_real: -0.012822 Loss_D_fake 0.018847
[326/5000][480/535][33418] Loss_D: -0.032754 Loss_G: 0.011785 Loss_D_real: -0.012975 Loss_D_fake 0.019779
[326/5000][485/535][33419] Loss_D: -0.032053 Loss_G: 0.035721 Loss_D_real: -0.034606 Loss_D_fake -0.002553
[326/5000][490/535][33420] Loss_D: -0.032167 Loss_G: 0.024817 Loss_D_real: -0.026264 Loss_D_fake 0.005903
[326/5000][495/535][33421] Loss_D: -0.031533 Loss_G: 0.032729 Loss_D_real: -0.025275 Loss_D_fake 0.006258
[326/5000][500/535][33422] Loss_D: -0.030301 Loss_G: 0.001368 Loss_D_real: -0.007664 Loss_D_fake 0.022637
[326/5000][505/535][33423] Loss_D: -0.031044 Loss_G: 0.007196 Loss_D_real: -0.016343 Loss_D_fake 0.014700
[326/5000][510/535][33424] Loss_D: -0.028446 Loss_G: 0.036166 Loss_D_real: -0.036109 Loss_D_fake -0.007663
[326/5000][515/535][33425] Loss_D: -0.030316 Loss_G: -0.006178 Loss_D_real: 0.001523 Loss_D_fake 0.031838
[326/5000][520/535][33426] Loss_D: -0.030530 Loss_G: 0.024650 Loss_D_real: -0.029953 Loss_D_fake 0.000577
[326/5000][525/535][33427] Loss_D: -0.031604 Loss_G: 0.021868 Loss_D_real: -0.013114 Loss_D_fake 0.018490
[326/5000][530/535][33428] Loss_D: -0.030217 Loss_G: 0.018103 Loss_D_real: -0.027472 Loss_D_fake 0.002745
[326/5000][535/535][33429] Loss_D: -0.030103 Loss_G: -0.006037 Loss_D_real: -0.016655 Loss_D_fake 0.013448
[327/5000][5/535][33430] Loss_D: -0.029204 Loss_G: 0.028622 Loss_D_real: -0.033181 Loss_D_fake -0.003977
[327/5000][10/535][33431] Loss_D: -0.030750 Loss_G: 0.022482 Loss_D_real: -0.014829 Loss_D_fake 0.015921
[327/5000][15/535][33432] Loss_D: -0.031070 Loss_G: 0.007809 Loss_D_real: -0.014099 Loss_D_fake 0.016971
[327/5000][20/535][33433] Loss_D: -0.029930 Loss_G: 0.033361 Loss_D_real: -0.036319 Loss_D_fake -0.006389
[327/5000][25/535][33434] Loss_D: -0.031479 Loss_G: 0.019926 Loss_D_real: -0.018479 Loss_D_fake 0.013000
[327/5000][30/535][33435] Loss_D: -0.033577 Loss_G: 0.026078 Loss_D_real: -0.016989 Loss_D_fake 0.016588
[327/5000][35/535][33436] Loss_D: -0.030340 Loss_G: -0.018828 Loss_D_real: 0.004887 Loss_D_fake 0.035226
[327/5000][40/535][33437] Loss_D: -0.030061 Loss_G: 0.018648 Loss_D_real: -0.022083 Loss_D_fake 0.007978
[327/5000][45/535][33438] Loss_D: -0.030049 Loss_G: 0.005406 Loss_D_real: -0.008052 Loss_D_fake 0.021998
[327/5000][50/535][33439] Loss_D: -0.032260 Loss_G: 0.017599 Loss_D_real: -0.024587 Loss_D_fake 0.007673
[327/5000][55/535][33440] Loss_D: -0.030327 Loss_G: 0.008032 Loss_D_real: -0.013885 Loss_D_fake 0.016442
[327/5000][60/535][33441] Loss_D: -0.032737 Loss_G: 0.016024 Loss_D_real: -0.014572 Loss_D_fake 0.018166
[327/5000][65/535][33442] Loss_D: -0.031199 Loss_G: 0.014034 Loss_D_real: -0.017883 Loss_D_fake 0.013316
[327/5000][70/535][33443] Loss_D: -0.032132 Loss_G: 0.017407 Loss_D_real: -0.018108 Loss_D_fake 0.014024
[327/5000][75/535][33444] Loss_D: -0.031744 Loss_G: -0.012448 Loss_D_real: 0.002810 Loss_D_fake 0.034554
[327/5000][80/535][33445] Loss_D: -0.031020 Loss_G: 0.037708 Loss_D_real: -0.032234 Loss_D_fake -0.001213
[327/5000][85/535][33446] Loss_D: -0.030249 Loss_G: 0.025573 Loss_D_real: -0.030634 Loss_D_fake -0.000384
[327/5000][90/535][33447] Loss_D: -0.031659 Loss_G: 0.032212 Loss_D_real: -0.030422 Loss_D_fake 0.001236
[327/5000][95/535][33448] Loss_D: -0.031302 Loss_G: -0.006445 Loss_D_real: -0.006390 Loss_D_fake 0.024912
[327/5000][100/535][33449] Loss_D: -0.031938 Loss_G: 0.005529 Loss_D_real: -0.009771 Loss_D_fake 0.022167
[327/5000][105/535][33450] Loss_D: -0.031455 Loss_G: 0.034310 Loss_D_real: -0.021375 Loss_D_fake 0.010080
[327/5000][110/535][33451] Loss_D: -0.030773 Loss_G: -0.011540 Loss_D_real: -0.000475 Loss_D_fake 0.030299
[327/5000][115/535][33452] Loss_D: -0.029586 Loss_G: 0.042969 Loss_D_real: -0.037100 Loss_D_fake -0.007515
[327/5000][120/535][33453] Loss_D: -0.031459 Loss_G: 0.005611 Loss_D_real: -0.004857 Loss_D_fake 0.026602
[327/5000][125/535][33454] Loss_D: -0.031210 Loss_G: 0.005686 Loss_D_real: -0.018730 Loss_D_fake 0.012480
[327/5000][130/535][33455] Loss_D: -0.032454 Loss_G: 0.026013 Loss_D_real: -0.020149 Loss_D_fake 0.012305
[327/5000][135/535][33456] Loss_D: -0.030344 Loss_G: 0.013237 Loss_D_real: -0.018231 Loss_D_fake 0.012113
[327/5000][140/535][33457] Loss_D: -0.031110 Loss_G: -0.006304 Loss_D_real: -0.007547 Loss_D_fake 0.023563
[327/5000][145/535][33458] Loss_D: -0.031017 Loss_G: 0.039728 Loss_D_real: -0.036417 Loss_D_fake -0.005400
[327/5000][150/535][33459] Loss_D: -0.031535 Loss_G: 0.014604 Loss_D_real: -0.015734 Loss_D_fake 0.015800
[327/5000][155/535][33460] Loss_D: -0.031773 Loss_G: 0.003106 Loss_D_real: -0.007144 Loss_D_fake 0.024628
[327/5000][160/535][33461] Loss_D: -0.031134 Loss_G: 0.018356 Loss_D_real: -0.023360 Loss_D_fake 0.007775
[327/5000][165/535][33462] Loss_D: -0.029869 Loss_G: 0.024294 Loss_D_real: -0.029926 Loss_D_fake -0.000057
[327/5000][170/535][33463] Loss_D: -0.030245 Loss_G: 0.043790 Loss_D_real: -0.032527 Loss_D_fake -0.002281
[327/5000][175/535][33464] Loss_D: -0.031605 Loss_G: -0.005142 Loss_D_real: -0.005417 Loss_D_fake 0.026188
[327/5000][180/535][33465] Loss_D: -0.031135 Loss_G: 0.022031 Loss_D_real: -0.025306 Loss_D_fake 0.005829
[327/5000][185/535][33466] Loss_D: -0.028930 Loss_G: 0.035839 Loss_D_real: -0.032319 Loss_D_fake -0.003388
[327/5000][190/535][33467] Loss_D: -0.032259 Loss_G: 0.024628 Loss_D_real: -0.026123 Loss_D_fake 0.006137
[327/5000][195/535][33468] Loss_D: -0.030431 Loss_G: 0.013665 Loss_D_real: -0.013466 Loss_D_fake 0.016965
[327/5000][200/535][33469] Loss_D: -0.030788 Loss_G: 0.017381 Loss_D_real: -0.019517 Loss_D_fake 0.011272
[327/5000][205/535][33470] Loss_D: -0.029363 Loss_G: 0.042132 Loss_D_real: -0.040318 Loss_D_fake -0.010956
[327/5000][210/535][33471] Loss_D: -0.029434 Loss_G: -0.004237 Loss_D_real: -0.000348 Loss_D_fake 0.029086
[327/5000][215/535][33472] Loss_D: -0.031029 Loss_G: 0.013081 Loss_D_real: -0.025397 Loss_D_fake 0.005632
[327/5000][220/535][33473] Loss_D: -0.029412 Loss_G: 0.016569 Loss_D_real: -0.022081 Loss_D_fake 0.007331
[327/5000][225/535][33474] Loss_D: -0.030139 Loss_G: 0.005638 Loss_D_real: -0.012827 Loss_D_fake 0.017312
[327/5000][230/535][33475] Loss_D: -0.030023 Loss_G: 0.014481 Loss_D_real: -0.020399 Loss_D_fake 0.009624
[327/5000][235/535][33476] Loss_D: -0.032108 Loss_G: 0.014391 Loss_D_real: -0.021490 Loss_D_fake 0.010617
[327/5000][240/535][33477] Loss_D: -0.031643 Loss_G: 0.019649 Loss_D_real: -0.033432 Loss_D_fake -0.001789
[327/5000][245/535][33478] Loss_D: -0.032761 Loss_G: 0.028000 Loss_D_real: -0.028155 Loss_D_fake 0.004606
[327/5000][250/535][33479] Loss_D: -0.031831 Loss_G: 0.030569 Loss_D_real: -0.025204 Loss_D_fake 0.006627
[327/5000][255/535][33480] Loss_D: -0.030892 Loss_G: 0.026921 Loss_D_real: -0.033051 Loss_D_fake -0.002159
[327/5000][260/535][33481] Loss_D: -0.032311 Loss_G: 0.009877 Loss_D_real: -0.015849 Loss_D_fake 0.016462
[327/5000][265/535][33482] Loss_D: -0.031876 Loss_G: 0.024739 Loss_D_real: -0.025641 Loss_D_fake 0.006235
[327/5000][270/535][33483] Loss_D: -0.030689 Loss_G: -0.007206 Loss_D_real: -0.001770 Loss_D_fake 0.028919
[327/5000][275/535][33484] Loss_D: -0.028967 Loss_G: 0.032669 Loss_D_real: -0.034843 Loss_D_fake -0.005876
[327/5000][280/535][33485] Loss_D: -0.030686 Loss_G: 0.021949 Loss_D_real: -0.017419 Loss_D_fake 0.013267
[327/5000][285/535][33486] Loss_D: -0.032550 Loss_G: 0.024775 Loss_D_real: -0.024040 Loss_D_fake 0.008511
[327/5000][290/535][33487] Loss_D: -0.030850 Loss_G: 0.033639 Loss_D_real: -0.025365 Loss_D_fake 0.005485
[327/5000][295/535][33488] Loss_D: -0.028891 Loss_G: 0.045255 Loss_D_real: -0.034984 Loss_D_fake -0.006094
[327/5000][300/535][33489] Loss_D: -0.031836 Loss_G: 0.016339 Loss_D_real: -0.018941 Loss_D_fake 0.012895
[327/5000][305/535][33490] Loss_D: -0.030091 Loss_G: 0.011997 Loss_D_real: -0.014866 Loss_D_fake 0.015225
[327/5000][310/535][33491] Loss_D: -0.030442 Loss_G: 0.013998 Loss_D_real: -0.018810 Loss_D_fake 0.011632
[327/5000][315/535][33492] Loss_D: -0.030854 Loss_G: 0.002871 Loss_D_real: -0.016500 Loss_D_fake 0.014354
[327/5000][320/535][33493] Loss_D: -0.030527 Loss_G: 0.007138 Loss_D_real: -0.016260 Loss_D_fake 0.014266
[327/5000][325/535][33494] Loss_D: -0.031313 Loss_G: 0.000913 Loss_D_real: -0.007041 Loss_D_fake 0.024272
[327/5000][330/535][33495] Loss_D: -0.032208 Loss_G: 0.004789 Loss_D_real: -0.018295 Loss_D_fake 0.013912
[327/5000][335/535][33496] Loss_D: -0.031842 Loss_G: 0.020484 Loss_D_real: -0.022854 Loss_D_fake 0.008988
[327/5000][340/535][33497] Loss_D: -0.031549 Loss_G: 0.048761 Loss_D_real: -0.032814 Loss_D_fake -0.001265
[327/5000][345/535][33498] Loss_D: -0.031114 Loss_G: -0.010595 Loss_D_real: -0.000018 Loss_D_fake 0.031095
[327/5000][350/535][33499] Loss_D: -0.030484 Loss_G: 0.018485 Loss_D_real: -0.029527 Loss_D_fake 0.000958
[327/5000][355/535][33500] Loss_D: -0.032459 Loss_G: 0.028870 Loss_D_real: -0.024443 Loss_D_fake 0.008016
[327/5000][455/535][33501] Loss_D: -0.033784 Loss_G: 0.013081 Loss_D_real: -0.022120 Loss_D_fake 0.011664
[327/5000][460/535][33502] Loss_D: -0.031442 Loss_G: 0.027514 Loss_D_real: -0.026326 Loss_D_fake 0.005116
[327/5000][465/535][33503] Loss_D: -0.028924 Loss_G: 0.018795 Loss_D_real: -0.023268 Loss_D_fake 0.005657
[327/5000][470/535][33504] Loss_D: -0.029502 Loss_G: 0.013780 Loss_D_real: -0.016440 Loss_D_fake 0.013061
[327/5000][475/535][33505] Loss_D: -0.029550 Loss_G: 0.017059 Loss_D_real: -0.019194 Loss_D_fake 0.010356
[327/5000][480/535][33506] Loss_D: -0.029690 Loss_G: 0.017896 Loss_D_real: -0.027665 Loss_D_fake 0.002025
[327/5000][485/535][33507] Loss_D: -0.029988 Loss_G: 0.007237 Loss_D_real: -0.010429 Loss_D_fake 0.019559
[327/5000][490/535][33508] Loss_D: -0.030349 Loss_G: 0.007603 Loss_D_real: -0.011010 Loss_D_fake 0.019339
[327/5000][495/535][33509] Loss_D: -0.030938 Loss_G: 0.015961 Loss_D_real: -0.022405 Loss_D_fake 0.008532
[327/5000][500/535][33510] Loss_D: -0.030555 Loss_G: 0.041342 Loss_D_real: -0.036020 Loss_D_fake -0.005465
[327/5000][505/535][33511] Loss_D: -0.031960 Loss_G: -0.003296 Loss_D_real: 0.001075 Loss_D_fake 0.033035
[327/5000][510/535][33512] Loss_D: -0.030525 Loss_G: 0.015765 Loss_D_real: -0.022500 Loss_D_fake 0.008025
[327/5000][515/535][33513] Loss_D: -0.032673 Loss_G: -0.003817 Loss_D_real: -0.013095 Loss_D_fake 0.019578
[327/5000][520/535][33514] Loss_D: -0.030751 Loss_G: 0.030354 Loss_D_real: -0.027652 Loss_D_fake 0.003099
[327/5000][525/535][33515] Loss_D: -0.031248 Loss_G: 0.003054 Loss_D_real: -0.008542 Loss_D_fake 0.022706
[327/5000][530/535][33516] Loss_D: -0.030060 Loss_G: -0.000060 Loss_D_real: -0.010338 Loss_D_fake 0.019722
[327/5000][535/535][33517] Loss_D: -0.031791 Loss_G: 0.038453 Loss_D_real: -0.028086 Loss_D_fake 0.003705
[328/5000][5/535][33518] Loss_D: -0.030612 Loss_G: 0.029977 Loss_D_real: -0.027511 Loss_D_fake 0.003101
[328/5000][10/535][33519] Loss_D: -0.029534 Loss_G: -0.011667 Loss_D_real: 0.006465 Loss_D_fake 0.035999
[328/5000][15/535][33520] Loss_D: -0.030009 Loss_G: 0.019739 Loss_D_real: -0.022287 Loss_D_fake 0.007722
[328/5000][20/535][33521] Loss_D: -0.029276 Loss_G: -0.011958 Loss_D_real: 0.003741 Loss_D_fake 0.033017
[328/5000][25/535][33522] Loss_D: -0.028393 Loss_G: 0.034245 Loss_D_real: -0.032245 Loss_D_fake -0.003852
[328/5000][30/535][33523] Loss_D: -0.031089 Loss_G: 0.023103 Loss_D_real: -0.017252 Loss_D_fake 0.013837
[328/5000][35/535][33524] Loss_D: -0.030861 Loss_G: 0.003392 Loss_D_real: -0.007854 Loss_D_fake 0.023007
[328/5000][40/535][33525] Loss_D: -0.031103 Loss_G: 0.018730 Loss_D_real: -0.019768 Loss_D_fake 0.011335
[328/5000][45/535][33526] Loss_D: -0.029798 Loss_G: 0.032982 Loss_D_real: -0.031955 Loss_D_fake -0.002158
[328/5000][50/535][33527] Loss_D: -0.030339 Loss_G: 0.005991 Loss_D_real: -0.011105 Loss_D_fake 0.019234
[328/5000][55/535][33528] Loss_D: -0.031789 Loss_G: 0.016440 Loss_D_real: -0.023732 Loss_D_fake 0.008058
[328/5000][60/535][33529] Loss_D: -0.032896 Loss_G: 0.025619 Loss_D_real: -0.033197 Loss_D_fake -0.000301
[328/5000][65/535][33530] Loss_D: -0.031049 Loss_G: 0.016599 Loss_D_real: -0.021770 Loss_D_fake 0.009279
[328/5000][70/535][33531] Loss_D: -0.031065 Loss_G: 0.020976 Loss_D_real: -0.025851 Loss_D_fake 0.005215
[328/5000][75/535][33532] Loss_D: -0.028633 Loss_G: -0.005517 Loss_D_real: -0.008768 Loss_D_fake 0.019866
[328/5000][80/535][33533] Loss_D: -0.030115 Loss_G: 0.016688 Loss_D_real: -0.020056 Loss_D_fake 0.010059
[328/5000][85/535][33534] Loss_D: -0.030374 Loss_G: 0.035611 Loss_D_real: -0.040391 Loss_D_fake -0.010017
[328/5000][90/535][33535] Loss_D: -0.031544 Loss_G: 0.003637 Loss_D_real: -0.011002 Loss_D_fake 0.020542
[328/5000][95/535][33536] Loss_D: -0.030352 Loss_G: 0.016414 Loss_D_real: -0.018578 Loss_D_fake 0.011774
[328/5000][100/535][33537] Loss_D: -0.031735 Loss_G: 0.031545 Loss_D_real: -0.028714 Loss_D_fake 0.003021
[328/5000][105/535][33538] Loss_D: -0.032212 Loss_G: -0.000889 Loss_D_real: -0.010231 Loss_D_fake 0.021981
[328/5000][110/535][33539] Loss_D: -0.030383 Loss_G: 0.032747 Loss_D_real: -0.022134 Loss_D_fake 0.008249
[328/5000][115/535][33540] Loss_D: -0.032320 Loss_G: 0.011055 Loss_D_real: -0.023941 Loss_D_fake 0.008380
[328/5000][120/535][33541] Loss_D: -0.030512 Loss_G: 0.021933 Loss_D_real: -0.022573 Loss_D_fake 0.007939
[328/5000][125/535][33542] Loss_D: -0.031779 Loss_G: 0.015814 Loss_D_real: -0.022341 Loss_D_fake 0.009438
[328/5000][130/535][33543] Loss_D: -0.031119 Loss_G: 0.031820 Loss_D_real: -0.027652 Loss_D_fake 0.003467
[328/5000][135/535][33544] Loss_D: -0.031294 Loss_G: 0.006194 Loss_D_real: -0.012281 Loss_D_fake 0.019013
[328/5000][140/535][33545] Loss_D: -0.030004 Loss_G: 0.020470 Loss_D_real: -0.033942 Loss_D_fake -0.003938
[328/5000][145/535][33546] Loss_D: -0.030176 Loss_G: -0.004565 Loss_D_real: -0.002113 Loss_D_fake 0.028063
[328/5000][150/535][33547] Loss_D: -0.030359 Loss_G: 0.010139 Loss_D_real: -0.019269 Loss_D_fake 0.011090
[328/5000][155/535][33548] Loss_D: -0.028653 Loss_G: 0.023156 Loss_D_real: -0.031803 Loss_D_fake -0.003150
[328/5000][160/535][33549] Loss_D: -0.030658 Loss_G: 0.002009 Loss_D_real: -0.003965 Loss_D_fake 0.026693
[328/5000][165/535][33550] Loss_D: -0.028783 Loss_G: 0.017492 Loss_D_real: -0.029374 Loss_D_fake -0.000591
[328/5000][170/535][33551] Loss_D: -0.030495 Loss_G: 0.010756 Loss_D_real: -0.010696 Loss_D_fake 0.019799
[328/5000][175/535][33552] Loss_D: -0.031356 Loss_G: 0.002905 Loss_D_real: -0.007497 Loss_D_fake 0.023858
[328/5000][180/535][33553] Loss_D: -0.029377 Loss_G: 0.034036 Loss_D_real: -0.022291 Loss_D_fake 0.007086
[328/5000][185/535][33554] Loss_D: -0.031714 Loss_G: 0.002566 Loss_D_real: -0.012986 Loss_D_fake 0.018729
[328/5000][190/535][33555] Loss_D: -0.030530 Loss_G: 0.036120 Loss_D_real: -0.034726 Loss_D_fake -0.004196
[328/5000][195/535][33556] Loss_D: -0.032407 Loss_G: -0.004274 Loss_D_real: -0.011455 Loss_D_fake 0.020952
[328/5000][200/535][33557] Loss_D: -0.031045 Loss_G: 0.028906 Loss_D_real: -0.028118 Loss_D_fake 0.002927
[328/5000][205/535][33558] Loss_D: -0.032981 Loss_G: -0.001001 Loss_D_real: -0.015661 Loss_D_fake 0.017320
[328/5000][210/535][33559] Loss_D: -0.032204 Loss_G: 0.024870 Loss_D_real: -0.019477 Loss_D_fake 0.012727
[328/5000][215/535][33560] Loss_D: -0.032114 Loss_G: 0.027687 Loss_D_real: -0.020717 Loss_D_fake 0.011397
[328/5000][220/535][33561] Loss_D: -0.030910 Loss_G: 0.033910 Loss_D_real: -0.027760 Loss_D_fake 0.003151
[328/5000][225/535][33562] Loss_D: -0.031181 Loss_G: -0.008782 Loss_D_real: -0.011478 Loss_D_fake 0.019703
[328/5000][230/535][33563] Loss_D: -0.030183 Loss_G: 0.024600 Loss_D_real: -0.029897 Loss_D_fake 0.000287
[328/5000][235/535][33564] Loss_D: -0.032393 Loss_G: 0.005280 Loss_D_real: -0.015997 Loss_D_fake 0.016396
[328/5000][240/535][33565] Loss_D: -0.032919 Loss_G: 0.023646 Loss_D_real: -0.024039 Loss_D_fake 0.008880
[328/5000][245/535][33566] Loss_D: -0.031065 Loss_G: 0.015143 Loss_D_real: -0.010506 Loss_D_fake 0.020558
[328/5000][250/535][33567] Loss_D: -0.030145 Loss_G: 0.029797 Loss_D_real: -0.031099 Loss_D_fake -0.000954
[328/5000][255/535][33568] Loss_D: -0.032017 Loss_G: -0.000198 Loss_D_real: -0.006042 Loss_D_fake 0.025976
[328/5000][260/535][33569] Loss_D: -0.030107 Loss_G: 0.035622 Loss_D_real: -0.029428 Loss_D_fake 0.000679
[328/5000][265/535][33570] Loss_D: -0.030331 Loss_G: 0.015056 Loss_D_real: -0.014738 Loss_D_fake 0.015592
[328/5000][270/535][33571] Loss_D: -0.031067 Loss_G: 0.019639 Loss_D_real: -0.022995 Loss_D_fake 0.008071
[328/5000][275/535][33572] Loss_D: -0.030312 Loss_G: 0.021812 Loss_D_real: -0.021027 Loss_D_fake 0.009286
[328/5000][280/535][33573] Loss_D: -0.033816 Loss_G: 0.020974 Loss_D_real: -0.028928 Loss_D_fake 0.004888
[328/5000][285/535][33574] Loss_D: -0.030454 Loss_G: 0.040458 Loss_D_real: -0.028869 Loss_D_fake 0.001585
[328/5000][290/535][33575] Loss_D: -0.030726 Loss_G: -0.020126 Loss_D_real: 0.005889 Loss_D_fake 0.036615
[328/5000][295/535][33576] Loss_D: -0.030288 Loss_G: 0.021123 Loss_D_real: -0.024433 Loss_D_fake 0.005855
[328/5000][300/535][33577] Loss_D: -0.031414 Loss_G: 0.018918 Loss_D_real: -0.018423 Loss_D_fake 0.012991
[328/5000][305/535][33578] Loss_D: -0.031386 Loss_G: 0.015417 Loss_D_real: -0.019657 Loss_D_fake 0.011730
[328/5000][310/535][33579] Loss_D: -0.031150 Loss_G: 0.010532 Loss_D_real: -0.021551 Loss_D_fake 0.009599
[328/5000][315/535][33580] Loss_D: -0.028529 Loss_G: 0.043471 Loss_D_real: -0.044463 Loss_D_fake -0.015935
[328/5000][320/535][33581] Loss_D: -0.031156 Loss_G: 0.003477 Loss_D_real: -0.018019 Loss_D_fake 0.013137
[328/5000][325/535][33582] Loss_D: -0.028696 Loss_G: 0.038324 Loss_D_real: -0.029200 Loss_D_fake -0.000505
[328/5000][330/535][33583] Loss_D: -0.029872 Loss_G: -0.009889 Loss_D_real: 0.001104 Loss_D_fake 0.030977
[328/5000][335/535][33584] Loss_D: -0.028379 Loss_G: 0.021390 Loss_D_real: -0.021359 Loss_D_fake 0.007020
[328/5000][340/535][33585] Loss_D: -0.029591 Loss_G: 0.016290 Loss_D_real: -0.007938 Loss_D_fake 0.021653
[328/5000][345/535][33586] Loss_D: -0.030565 Loss_G: 0.038256 Loss_D_real: -0.026745 Loss_D_fake 0.003820
[328/5000][350/535][33587] Loss_D: -0.031295 Loss_G: 0.009171 Loss_D_real: -0.018211 Loss_D_fake 0.013083
[328/5000][355/535][33588] Loss_D: -0.032023 Loss_G: 0.018497 Loss_D_real: -0.019640 Loss_D_fake 0.012384
[328/5000][360/535][33589] Loss_D: -0.031847 Loss_G: 0.019571 Loss_D_real: -0.020208 Loss_D_fake 0.011638
[328/5000][365/535][33590] Loss_D: -0.031163 Loss_G: 0.014096 Loss_D_real: -0.022975 Loss_D_fake 0.008188
[328/5000][370/535][33591] Loss_D: -0.031365 Loss_G: 0.018112 Loss_D_real: -0.018789 Loss_D_fake 0.012575
[328/5000][375/535][33592] Loss_D: -0.030637 Loss_G: 0.003270 Loss_D_real: -0.012254 Loss_D_fake 0.018383
[328/5000][380/535][33593] Loss_D: -0.031734 Loss_G: 0.013787 Loss_D_real: -0.014719 Loss_D_fake 0.017015
[328/5000][385/535][33594] Loss_D: -0.029410 Loss_G: 0.033694 Loss_D_real: -0.036144 Loss_D_fake -0.006734
[328/5000][390/535][33595] Loss_D: -0.031386 Loss_G: 0.004136 Loss_D_real: -0.012110 Loss_D_fake 0.019276
[328/5000][395/535][33596] Loss_D: -0.030328 Loss_G: 0.006462 Loss_D_real: -0.020749 Loss_D_fake 0.009579
[328/5000][400/535][33597] Loss_D: -0.031984 Loss_G: 0.021209 Loss_D_real: -0.021587 Loss_D_fake 0.010397
[328/5000][405/535][33598] Loss_D: -0.030426 Loss_G: 0.013696 Loss_D_real: -0.020453 Loss_D_fake 0.009974
[328/5000][410/535][33599] Loss_D: -0.030389 Loss_G: 0.028483 Loss_D_real: -0.035624 Loss_D_fake -0.005235
[328/5000][415/535][33600] Loss_D: -0.030944 Loss_G: -0.002258 Loss_D_real: -0.003232 Loss_D_fake 0.027713
[328/5000][420/535][33601] Loss_D: -0.030588 Loss_G: 0.021714 Loss_D_real: -0.022111 Loss_D_fake 0.008477
[328/5000][425/535][33602] Loss_D: -0.031188 Loss_G: 0.020478 Loss_D_real: -0.027094 Loss_D_fake 0.004094
[328/5000][430/535][33603] Loss_D: -0.031559 Loss_G: 0.030010 Loss_D_real: -0.032533 Loss_D_fake -0.000973
[328/5000][435/535][33604] Loss_D: -0.029683 Loss_G: 0.036882 Loss_D_real: -0.036770 Loss_D_fake -0.007087
[328/5000][440/535][33605] Loss_D: -0.031248 Loss_G: 0.007482 Loss_D_real: -0.012285 Loss_D_fake 0.018963
[328/5000][445/535][33606] Loss_D: -0.029844 Loss_G: 0.029372 Loss_D_real: -0.037564 Loss_D_fake -0.007720
[328/5000][450/535][33607] Loss_D: -0.031841 Loss_G: 0.016006 Loss_D_real: -0.010122 Loss_D_fake 0.021719
[328/5000][455/535][33608] Loss_D: -0.030411 Loss_G: 0.011283 Loss_D_real: -0.015265 Loss_D_fake 0.015146
[328/5000][460/535][33609] Loss_D: -0.030511 Loss_G: -0.004153 Loss_D_real: 0.000886 Loss_D_fake 0.031397
[328/5000][465/535][33610] Loss_D: -0.031341 Loss_G: 0.023070 Loss_D_real: -0.019948 Loss_D_fake 0.011393
[328/5000][470/535][33611] Loss_D: -0.030490 Loss_G: 0.014356 Loss_D_real: -0.013985 Loss_D_fake 0.016505
[328/5000][475/535][33612] Loss_D: -0.030607 Loss_G: 0.013241 Loss_D_real: -0.014414 Loss_D_fake 0.016194
[328/5000][480/535][33613] Loss_D: -0.029990 Loss_G: 0.043280 Loss_D_real: -0.036788 Loss_D_fake -0.006797
[328/5000][485/535][33614] Loss_D: -0.029178 Loss_G: 0.036143 Loss_D_real: -0.027560 Loss_D_fake 0.001618
[328/5000][490/535][33615] Loss_D: -0.032060 Loss_G: 0.018731 Loss_D_real: -0.023017 Loss_D_fake 0.009043
[328/5000][495/535][33616] Loss_D: -0.032212 Loss_G: 0.018572 Loss_D_real: -0.019974 Loss_D_fake 0.012237
[328/5000][500/535][33617] Loss_D: -0.029822 Loss_G: -0.009229 Loss_D_real: 0.003702 Loss_D_fake 0.033524
[328/5000][505/535][33618] Loss_D: -0.028065 Loss_G: 0.033468 Loss_D_real: -0.031777 Loss_D_fake -0.003712
[328/5000][510/535][33619] Loss_D: -0.031548 Loss_G: 0.011879 Loss_D_real: -0.014079 Loss_D_fake 0.017469
[328/5000][515/535][33620] Loss_D: -0.031526 Loss_G: 0.004605 Loss_D_real: -0.013086 Loss_D_fake 0.018440
[328/5000][520/535][33621] Loss_D: -0.030631 Loss_G: 0.019616 Loss_D_real: -0.018155 Loss_D_fake 0.012476
[328/5000][525/535][33622] Loss_D: -0.031664 Loss_G: 0.025297 Loss_D_real: -0.023538 Loss_D_fake 0.008126
[328/5000][530/535][33623] Loss_D: -0.031356 Loss_G: -0.008965 Loss_D_real: -0.000681 Loss_D_fake 0.030675
[328/5000][535/535][33624] Loss_D: -0.028596 Loss_G: 0.033437 Loss_D_real: -0.025561 Loss_D_fake 0.003035
[329/5000][5/535][33625] Loss_D: -0.030333 Loss_G: 0.039614 Loss_D_real: -0.033360 Loss_D_fake -0.003028
[329/5000][10/535][33626] Loss_D: -0.031699 Loss_G: 0.031154 Loss_D_real: -0.033641 Loss_D_fake -0.001942
[329/5000][15/535][33627] Loss_D: -0.032678 Loss_G: 0.016268 Loss_D_real: -0.020441 Loss_D_fake 0.012237
[329/5000][20/535][33628] Loss_D: -0.031000 Loss_G: 0.024452 Loss_D_real: -0.022449 Loss_D_fake 0.008551
[329/5000][25/535][33629] Loss_D: -0.031691 Loss_G: 0.019988 Loss_D_real: -0.029532 Loss_D_fake 0.002158
[329/5000][30/535][33630] Loss_D: -0.030162 Loss_G: 0.007340 Loss_D_real: -0.012874 Loss_D_fake 0.017288
[329/5000][35/535][33631] Loss_D: -0.030213 Loss_G: 0.029743 Loss_D_real: -0.032508 Loss_D_fake -0.002295
[329/5000][40/535][33632] Loss_D: -0.030122 Loss_G: 0.022837 Loss_D_real: -0.022170 Loss_D_fake 0.007952
[329/5000][45/535][33633] Loss_D: -0.031281 Loss_G: 0.035381 Loss_D_real: -0.028753 Loss_D_fake 0.002527
[329/5000][50/535][33634] Loss_D: -0.030794 Loss_G: 0.021036 Loss_D_real: -0.021427 Loss_D_fake 0.009368
[329/5000][55/535][33635] Loss_D: -0.030703 Loss_G: 0.010120 Loss_D_real: -0.018237 Loss_D_fake 0.012465
[329/5000][60/535][33636] Loss_D: -0.030932 Loss_G: 0.014181 Loss_D_real: -0.020528 Loss_D_fake 0.010405
[329/5000][65/535][33637] Loss_D: -0.031272 Loss_G: 0.014045 Loss_D_real: -0.018499 Loss_D_fake 0.012773
[329/5000][70/535][33638] Loss_D: -0.031511 Loss_G: -0.005752 Loss_D_real: -0.011876 Loss_D_fake 0.019635
[329/5000][75/535][33639] Loss_D: -0.029652 Loss_G: 0.029595 Loss_D_real: -0.025763 Loss_D_fake 0.003888
[329/5000][80/535][33640] Loss_D: -0.029955 Loss_G: 0.026177 Loss_D_real: -0.028701 Loss_D_fake 0.001253
[329/5000][85/535][33641] Loss_D: -0.031462 Loss_G: 0.034086 Loss_D_real: -0.036302 Loss_D_fake -0.004840
[329/5000][90/535][33642] Loss_D: -0.032285 Loss_G: 0.028200 Loss_D_real: -0.016613 Loss_D_fake 0.015672
[329/5000][95/535][33643] Loss_D: -0.032228 Loss_G: 0.025878 Loss_D_real: -0.027339 Loss_D_fake 0.004888
[329/5000][100/535][33644] Loss_D: -0.029903 Loss_G: 0.010028 Loss_D_real: -0.009803 Loss_D_fake 0.020100
[329/5000][105/535][33645] Loss_D: -0.030563 Loss_G: 0.006966 Loss_D_real: -0.025645 Loss_D_fake 0.004919
[329/5000][110/535][33646] Loss_D: -0.029370 Loss_G: 0.034736 Loss_D_real: -0.031674 Loss_D_fake -0.002304
[329/5000][115/535][33647] Loss_D: -0.030438 Loss_G: 0.030311 Loss_D_real: -0.028265 Loss_D_fake 0.002173
[329/5000][120/535][33648] Loss_D: -0.033361 Loss_G: 0.023303 Loss_D_real: -0.022903 Loss_D_fake 0.010458
[329/5000][125/535][33649] Loss_D: -0.031675 Loss_G: 0.023082 Loss_D_real: -0.032160 Loss_D_fake -0.000485
[329/5000][130/535][33650] Loss_D: -0.031713 Loss_G: -0.009667 Loss_D_real: -0.007667 Loss_D_fake 0.024046
[329/5000][135/535][33651] Loss_D: -0.030450 Loss_G: 0.008342 Loss_D_real: -0.016105 Loss_D_fake 0.014345
[329/5000][140/535][33652] Loss_D: -0.029050 Loss_G: 0.022153 Loss_D_real: -0.030062 Loss_D_fake -0.001012
[329/5000][145/535][33653] Loss_D: -0.030203 Loss_G: 0.020754 Loss_D_real: -0.025781 Loss_D_fake 0.004421
[329/5000][150/535][33654] Loss_D: -0.029233 Loss_G: 0.030412 Loss_D_real: -0.033695 Loss_D_fake -0.004462
[329/5000][155/535][33655] Loss_D: -0.031187 Loss_G: 0.035712 Loss_D_real: -0.025409 Loss_D_fake 0.005778
[329/5000][160/535][33656] Loss_D: -0.031011 Loss_G: 0.009458 Loss_D_real: -0.011490 Loss_D_fake 0.019522
[329/5000][165/535][33657] Loss_D: -0.031025 Loss_G: -0.001379 Loss_D_real: -0.005493 Loss_D_fake 0.025532
[329/5000][170/535][33658] Loss_D: -0.030171 Loss_G: 0.039610 Loss_D_real: -0.032327 Loss_D_fake -0.002155
[329/5000][175/535][33659] Loss_D: -0.029970 Loss_G: 0.006825 Loss_D_real: -0.013774 Loss_D_fake 0.016196
[329/5000][180/535][33660] Loss_D: -0.030597 Loss_G: 0.025655 Loss_D_real: -0.023649 Loss_D_fake 0.006947
[329/5000][185/535][33661] Loss_D: -0.030818 Loss_G: -0.016215 Loss_D_real: -0.004455 Loss_D_fake 0.026364
[329/5000][190/535][33662] Loss_D: -0.029295 Loss_G: 0.037399 Loss_D_real: -0.034930 Loss_D_fake -0.005634
[329/5000][195/535][33663] Loss_D: -0.030685 Loss_G: 0.036476 Loss_D_real: -0.030695 Loss_D_fake -0.000010
[329/5000][200/535][33664] Loss_D: -0.031624 Loss_G: 0.019845 Loss_D_real: -0.021160 Loss_D_fake 0.010464
[329/5000][205/535][33665] Loss_D: -0.031980 Loss_G: 0.017565 Loss_D_real: -0.014826 Loss_D_fake 0.017154
[329/5000][210/535][33666] Loss_D: -0.033518 Loss_G: 0.014260 Loss_D_real: -0.016154 Loss_D_fake 0.017364
[329/5000][215/535][33667] Loss_D: -0.033700 Loss_G: 0.009328 Loss_D_real: -0.006135 Loss_D_fake 0.027564
[329/5000][220/535][33668] Loss_D: -0.032058 Loss_G: 0.025212 Loss_D_real: -0.028502 Loss_D_fake 0.003557
[329/5000][225/535][33669] Loss_D: -0.032700 Loss_G: 0.013331 Loss_D_real: -0.017516 Loss_D_fake 0.015183
[329/5000][230/535][33670] Loss_D: -0.030887 Loss_G: 0.021654 Loss_D_real: -0.025563 Loss_D_fake 0.005324
[329/5000][235/535][33671] Loss_D: -0.029968 Loss_G: -0.004480 Loss_D_real: 0.004063 Loss_D_fake 0.034030
[329/5000][240/535][33672] Loss_D: -0.029232 Loss_G: 0.036825 Loss_D_real: -0.033097 Loss_D_fake -0.003865
[329/5000][245/535][33673] Loss_D: -0.030227 Loss_G: 0.005184 Loss_D_real: -0.013477 Loss_D_fake 0.016751
[329/5000][250/535][33674] Loss_D: -0.029429 Loss_G: -0.011013 Loss_D_real: 0.002591 Loss_D_fake 0.032020
[329/5000][255/535][33675] Loss_D: -0.030025 Loss_G: 0.040915 Loss_D_real: -0.033183 Loss_D_fake -0.003158
[329/5000][260/535][33676] Loss_D: -0.030363 Loss_G: -0.004059 Loss_D_real: -0.004993 Loss_D_fake 0.025369
[329/5000][265/535][33677] Loss_D: -0.029616 Loss_G: 0.015608 Loss_D_real: -0.016152 Loss_D_fake 0.013465
[329/5000][270/535][33678] Loss_D: -0.031002 Loss_G: 0.021156 Loss_D_real: -0.020063 Loss_D_fake 0.010940
[329/5000][275/535][33679] Loss_D: -0.029013 Loss_G: 0.011488 Loss_D_real: -0.016934 Loss_D_fake 0.012079
[329/5000][280/535][33680] Loss_D: -0.028918 Loss_G: -0.004093 Loss_D_real: -0.001263 Loss_D_fake 0.027655
[329/5000][285/535][33681] Loss_D: -0.030204 Loss_G: 0.013015 Loss_D_real: -0.023788 Loss_D_fake 0.006416
[329/5000][290/535][33682] Loss_D: -0.030599 Loss_G: 0.019168 Loss_D_real: -0.019768 Loss_D_fake 0.010831
[329/5000][295/535][33683] Loss_D: -0.031528 Loss_G: 0.029150 Loss_D_real: -0.032094 Loss_D_fake -0.000566
[329/5000][300/535][33684] Loss_D: -0.031062 Loss_G: -0.012945 Loss_D_real: -0.008884 Loss_D_fake 0.022178
[329/5000][305/535][33685] Loss_D: -0.028644 Loss_G: 0.034082 Loss_D_real: -0.027441 Loss_D_fake 0.001202
[329/5000][310/535][33686] Loss_D: -0.030714 Loss_G: -0.002416 Loss_D_real: -0.005379 Loss_D_fake 0.025335
[329/5000][315/535][33687] Loss_D: -0.030469 Loss_G: 0.010283 Loss_D_real: -0.015836 Loss_D_fake 0.014633
[329/5000][320/535][33688] Loss_D: -0.031207 Loss_G: 0.010252 Loss_D_real: -0.015301 Loss_D_fake 0.015906
[329/5000][325/535][33689] Loss_D: -0.030381 Loss_G: 0.025145 Loss_D_real: -0.025100 Loss_D_fake 0.005281
[329/5000][330/535][33690] Loss_D: -0.030488 Loss_G: 0.004840 Loss_D_real: -0.013912 Loss_D_fake 0.016575
[329/5000][335/535][33691] Loss_D: -0.030909 Loss_G: 0.007906 Loss_D_real: -0.012803 Loss_D_fake 0.018106
[329/5000][340/535][33692] Loss_D: -0.030181 Loss_G: 0.041311 Loss_D_real: -0.034143 Loss_D_fake -0.003962
[329/5000][345/535][33693] Loss_D: -0.030947 Loss_G: 0.012128 Loss_D_real: -0.018201 Loss_D_fake 0.012745
[329/5000][350/535][33694] Loss_D: -0.031560 Loss_G: -0.009864 Loss_D_real: -0.005650 Loss_D_fake 0.025909
[329/5000][355/535][33695] Loss_D: -0.030790 Loss_G: 0.020784 Loss_D_real: -0.016871 Loss_D_fake 0.013919
[329/5000][360/535][33696] Loss_D: -0.029249 Loss_G: 0.021745 Loss_D_real: -0.013963 Loss_D_fake 0.015286
[329/5000][365/535][33697] Loss_D: -0.031886 Loss_G: 0.029350 Loss_D_real: -0.022787 Loss_D_fake 0.009099
[329/5000][370/535][33698] Loss_D: -0.029571 Loss_G: 0.033382 Loss_D_real: -0.044367 Loss_D_fake -0.014796
[329/5000][375/535][33699] Loss_D: -0.031403 Loss_G: 0.005800 Loss_D_real: -0.008522 Loss_D_fake 0.022882
[329/5000][380/535][33700] Loss_D: -0.031201 Loss_G: 0.024335 Loss_D_real: -0.023523 Loss_D_fake 0.007678
[329/5000][385/535][33701] Loss_D: -0.030786 Loss_G: 0.009652 Loss_D_real: -0.018724 Loss_D_fake 0.012062
[329/5000][390/535][33702] Loss_D: -0.030475 Loss_G: 0.014411 Loss_D_real: -0.016882 Loss_D_fake 0.013593
[329/5000][395/535][33703] Loss_D: -0.031638 Loss_G: -0.001416 Loss_D_real: -0.007881 Loss_D_fake 0.023757
[329/5000][400/535][33704] Loss_D: -0.030302 Loss_G: 0.017450 Loss_D_real: -0.017009 Loss_D_fake 0.013293
[329/5000][405/535][33705] Loss_D: -0.029478 Loss_G: -0.011875 Loss_D_real: 0.006649 Loss_D_fake 0.036127
[329/5000][410/535][33706] Loss_D: -0.030095 Loss_G: 0.021118 Loss_D_real: -0.028240 Loss_D_fake 0.001855
[329/5000][415/535][33707] Loss_D: -0.032206 Loss_G: 0.008606 Loss_D_real: -0.008431 Loss_D_fake 0.023776
[329/5000][420/535][33708] Loss_D: -0.031288 Loss_G: 0.027680 Loss_D_real: -0.017872 Loss_D_fake 0.013416
[329/5000][425/535][33709] Loss_D: -0.032334 Loss_G: 0.030519 Loss_D_real: -0.029203 Loss_D_fake 0.003132
[329/5000][430/535][33710] Loss_D: -0.031913 Loss_G: -0.001912 Loss_D_real: -0.008201 Loss_D_fake 0.023711
[329/5000][435/535][33711] Loss_D: -0.030117 Loss_G: 0.021953 Loss_D_real: -0.026374 Loss_D_fake 0.003743
[329/5000][440/535][33712] Loss_D: -0.031676 Loss_G: 0.022513 Loss_D_real: -0.029348 Loss_D_fake 0.002329
[329/5000][445/535][33713] Loss_D: -0.033087 Loss_G: 0.009505 Loss_D_real: -0.020208 Loss_D_fake 0.012879
[329/5000][450/535][33714] Loss_D: -0.030823 Loss_G: 0.015828 Loss_D_real: -0.018370 Loss_D_fake 0.012453
[329/5000][455/535][33715] Loss_D: -0.031302 Loss_G: -0.007639 Loss_D_real: 0.002839 Loss_D_fake 0.034141
[329/5000][460/535][33716] Loss_D: -0.030783 Loss_G: 0.028273 Loss_D_real: -0.026039 Loss_D_fake 0.004744
[329/5000][465/535][33717] Loss_D: -0.032432 Loss_G: 0.014367 Loss_D_real: -0.022807 Loss_D_fake 0.009625
[329/5000][470/535][33718] Loss_D: -0.031162 Loss_G: 0.030838 Loss_D_real: -0.034471 Loss_D_fake -0.003309
[329/5000][475/535][33719] Loss_D: -0.031242 Loss_G: -0.011430 Loss_D_real: -0.002135 Loss_D_fake 0.029107
[329/5000][480/535][33720] Loss_D: -0.030447 Loss_G: 0.024186 Loss_D_real: -0.027994 Loss_D_fake 0.002453
[329/5000][485/535][33721] Loss_D: -0.030540 Loss_G: 0.015331 Loss_D_real: -0.026335 Loss_D_fake 0.004206
[329/5000][490/535][33722] Loss_D: -0.031232 Loss_G: -0.013004 Loss_D_real: 0.006265 Loss_D_fake 0.037497
[329/5000][495/535][33723] Loss_D: -0.029021 Loss_G: 0.020046 Loss_D_real: -0.019103 Loss_D_fake 0.009918
[329/5000][500/535][33724] Loss_D: -0.031092 Loss_G: 0.007442 Loss_D_real: -0.017939 Loss_D_fake 0.013153
[329/5000][505/535][33725] Loss_D: -0.030487 Loss_G: 0.025198 Loss_D_real: -0.033448 Loss_D_fake -0.002961
[329/5000][510/535][33726] Loss_D: -0.028800 Loss_G: -0.005788 Loss_D_real: -0.001812 Loss_D_fake 0.026988
[329/5000][515/535][33727] Loss_D: -0.030768 Loss_G: 0.027433 Loss_D_real: -0.021959 Loss_D_fake 0.008809
[329/5000][520/535][33728] Loss_D: -0.031678 Loss_G: 0.031685 Loss_D_real: -0.026185 Loss_D_fake 0.005493
[329/5000][525/535][33729] Loss_D: -0.031394 Loss_G: -0.009921 Loss_D_real: 0.006787 Loss_D_fake 0.038182
[329/5000][530/535][33730] Loss_D: -0.030602 Loss_G: -0.001115 Loss_D_real: -0.010229 Loss_D_fake 0.020373
[329/5000][535/535][33731] Loss_D: -0.028065 Loss_G: 0.033373 Loss_D_real: -0.019259 Loss_D_fake 0.008807
[330/5000][5/535][33732] Loss_D: -0.030491 Loss_G: 0.030418 Loss_D_real: -0.027430 Loss_D_fake 0.003062
[330/5000][10/535][33733] Loss_D: -0.031637 Loss_G: 0.018415 Loss_D_real: -0.011991 Loss_D_fake 0.019647
[330/5000][15/535][33734] Loss_D: -0.031422 Loss_G: 0.011637 Loss_D_real: -0.015795 Loss_D_fake 0.015627
[330/5000][20/535][33735] Loss_D: -0.031498 Loss_G: 0.024875 Loss_D_real: -0.023230 Loss_D_fake 0.008268
[330/5000][25/535][33736] Loss_D: -0.031689 Loss_G: 0.034035 Loss_D_real: -0.031144 Loss_D_fake 0.000545
[330/5000][30/535][33737] Loss_D: -0.031274 Loss_G: -0.001590 Loss_D_real: -0.001312 Loss_D_fake 0.029962
[330/5000][35/535][33738] Loss_D: -0.029519 Loss_G: 0.023500 Loss_D_real: -0.024596 Loss_D_fake 0.004923
[330/5000][40/535][33739] Loss_D: -0.030287 Loss_G: 0.035516 Loss_D_real: -0.025569 Loss_D_fake 0.004718
[330/5000][45/535][33740] Loss_D: -0.031559 Loss_G: 0.018723 Loss_D_real: -0.016283 Loss_D_fake 0.015277
[330/5000][50/535][33741] Loss_D: -0.030486 Loss_G: -0.004832 Loss_D_real: -0.000635 Loss_D_fake 0.029851
[330/5000][55/535][33742] Loss_D: -0.032321 Loss_G: 0.013842 Loss_D_real: -0.016046 Loss_D_fake 0.016275
[330/5000][60/535][33743] Loss_D: -0.031123 Loss_G: 0.010316 Loss_D_real: -0.014347 Loss_D_fake 0.016775
[330/5000][65/535][33744] Loss_D: -0.032216 Loss_G: 0.025131 Loss_D_real: -0.021939 Loss_D_fake 0.010277
[330/5000][70/535][33745] Loss_D: -0.032900 Loss_G: 0.013202 Loss_D_real: -0.015969 Loss_D_fake 0.016930
[330/5000][75/535][33746] Loss_D: -0.031569 Loss_G: 0.032683 Loss_D_real: -0.028849 Loss_D_fake 0.002719
[330/5000][80/535][33747] Loss_D: -0.032692 Loss_G: 0.001000 Loss_D_real: -0.008145 Loss_D_fake 0.024547
[330/5000][85/535][33748] Loss_D: -0.031703 Loss_G: 0.027276 Loss_D_real: -0.033330 Loss_D_fake -0.001627
[330/5000][90/535][33749] Loss_D: -0.029327 Loss_G: 0.006258 Loss_D_real: -0.005359 Loss_D_fake 0.023968
[330/5000][95/535][33750] Loss_D: -0.030641 Loss_G: 0.034544 Loss_D_real: -0.032732 Loss_D_fake -0.002091
[330/5000][100/535][33751] Loss_D: -0.030509 Loss_G: -0.009453 Loss_D_real: 0.001223 Loss_D_fake 0.031731
[330/5000][105/535][33752] Loss_D: -0.030656 Loss_G: 0.019521 Loss_D_real: -0.029473 Loss_D_fake 0.001182
[330/5000][110/535][33753] Loss_D: -0.031327 Loss_G: 0.016986 Loss_D_real: -0.024941 Loss_D_fake 0.006386
[330/5000][115/535][33754] Loss_D: -0.031562 Loss_G: 0.030390 Loss_D_real: -0.028350 Loss_D_fake 0.003211
[330/5000][120/535][33755] Loss_D: -0.033305 Loss_G: 0.021839 Loss_D_real: -0.025012 Loss_D_fake 0.008293
[330/5000][125/535][33756] Loss_D: -0.030851 Loss_G: -0.009514 Loss_D_real: -0.011831 Loss_D_fake 0.019020
[330/5000][130/535][33757] Loss_D: -0.029812 Loss_G: 0.033527 Loss_D_real: -0.035397 Loss_D_fake -0.005585
[330/5000][135/535][33758] Loss_D: -0.032193 Loss_G: 0.016685 Loss_D_real: -0.018321 Loss_D_fake 0.013871
[330/5000][140/535][33759] Loss_D: -0.031474 Loss_G: 0.024637 Loss_D_real: -0.028638 Loss_D_fake 0.002836
[330/5000][145/535][33760] Loss_D: -0.031344 Loss_G: 0.034165 Loss_D_real: -0.031186 Loss_D_fake 0.000158
[330/5000][150/535][33761] Loss_D: -0.032425 Loss_G: 0.002404 Loss_D_real: -0.013063 Loss_D_fake 0.019361
[330/5000][155/535][33762] Loss_D: -0.030378 Loss_G: 0.032248 Loss_D_real: -0.030819 Loss_D_fake -0.000441
[330/5000][160/535][33763] Loss_D: -0.031018 Loss_G: 0.008214 Loss_D_real: -0.010569 Loss_D_fake 0.020449
[330/5000][165/535][33764] Loss_D: -0.032049 Loss_G: 0.012776 Loss_D_real: -0.020352 Loss_D_fake 0.011696
[330/5000][170/535][33765] Loss_D: -0.030788 Loss_G: 0.009150 Loss_D_real: -0.014132 Loss_D_fake 0.016656
[330/5000][175/535][33766] Loss_D: -0.031015 Loss_G: 0.041397 Loss_D_real: -0.033422 Loss_D_fake -0.002407
[330/5000][180/535][33767] Loss_D: -0.030323 Loss_G: 0.010485 Loss_D_real: -0.015490 Loss_D_fake 0.014833
[330/5000][185/535][33768] Loss_D: -0.030207 Loss_G: 0.017966 Loss_D_real: -0.029861 Loss_D_fake 0.000346
[330/5000][190/535][33769] Loss_D: -0.032230 Loss_G: 0.015173 Loss_D_real: -0.012120 Loss_D_fake 0.020110
[330/5000][195/535][33770] Loss_D: -0.033206 Loss_G: 0.034979 Loss_D_real: -0.030141 Loss_D_fake 0.003065
[330/5000][200/535][33771] Loss_D: -0.031963 Loss_G: 0.009249 Loss_D_real: -0.014592 Loss_D_fake 0.017371
[330/5000][205/535][33772] Loss_D: -0.032906 Loss_G: 0.024566 Loss_D_real: -0.028274 Loss_D_fake 0.004631
[330/5000][210/535][33773] Loss_D: -0.029640 Loss_G: -0.020397 Loss_D_real: 0.007042 Loss_D_fake 0.036682
[330/5000][215/535][33774] Loss_D: -0.029578 Loss_G: 0.017848 Loss_D_real: -0.020724 Loss_D_fake 0.008854
[330/5000][220/535][33775] Loss_D: -0.030424 Loss_G: -0.005826 Loss_D_real: -0.007053 Loss_D_fake 0.023371
[330/5000][225/535][33776] Loss_D: -0.030835 Loss_G: 0.011078 Loss_D_real: -0.017687 Loss_D_fake 0.013148
[330/5000][230/535][33777] Loss_D: -0.030474 Loss_G: 0.020672 Loss_D_real: -0.015952 Loss_D_fake 0.014522
[330/5000][235/535][33778] Loss_D: -0.030298 Loss_G: 0.038857 Loss_D_real: -0.042117 Loss_D_fake -0.011819
[330/5000][240/535][33779] Loss_D: -0.030877 Loss_G: 0.005577 Loss_D_real: -0.012210 Loss_D_fake 0.018666
[330/5000][245/535][33780] Loss_D: -0.031390 Loss_G: 0.019705 Loss_D_real: -0.016413 Loss_D_fake 0.014977
[330/5000][250/535][33781] Loss_D: -0.031514 Loss_G: -0.010118 Loss_D_real: -0.006451 Loss_D_fake 0.025063
[330/5000][255/535][33782] Loss_D: -0.030956 Loss_G: 0.023581 Loss_D_real: -0.025834 Loss_D_fake 0.005122
[330/5000][260/535][33783] Loss_D: -0.032146 Loss_G: 0.008725 Loss_D_real: -0.017903 Loss_D_fake 0.014243
[330/5000][265/535][33784] Loss_D: -0.031238 Loss_G: 0.027366 Loss_D_real: -0.024489 Loss_D_fake 0.006749
[330/5000][270/535][33785] Loss_D: -0.031783 Loss_G: 0.006983 Loss_D_real: -0.010222 Loss_D_fake 0.021561
[330/5000][275/535][33786] Loss_D: -0.031122 Loss_G: 0.029212 Loss_D_real: -0.030915 Loss_D_fake 0.000207
[330/5000][280/535][33787] Loss_D: -0.030089 Loss_G: -0.009977 Loss_D_real: 0.001200 Loss_D_fake 0.031289
[330/5000][285/535][33788] Loss_D: -0.030521 Loss_G: 0.032714 Loss_D_real: -0.024775 Loss_D_fake 0.005746
[330/5000][290/535][33789] Loss_D: -0.029660 Loss_G: 0.005399 Loss_D_real: -0.004535 Loss_D_fake 0.025125
[330/5000][295/535][33790] Loss_D: -0.031750 Loss_G: -0.000266 Loss_D_real: -0.010892 Loss_D_fake 0.020858
[330/5000][300/535][33791] Loss_D: -0.029824 Loss_G: 0.027694 Loss_D_real: -0.026907 Loss_D_fake 0.002916
[330/5000][305/535][33792] Loss_D: -0.031758 Loss_G: 0.021160 Loss_D_real: -0.026055 Loss_D_fake 0.005704
[330/5000][310/535][33793] Loss_D: -0.031755 Loss_G: 0.021935 Loss_D_real: -0.022624 Loss_D_fake 0.009131
[330/5000][315/535][33794] Loss_D: -0.030616 Loss_G: 0.039026 Loss_D_real: -0.031266 Loss_D_fake -0.000650
[330/5000][320/535][33795] Loss_D: -0.031509 Loss_G: 0.006566 Loss_D_real: -0.010411 Loss_D_fake 0.021098
[330/5000][325/535][33796] Loss_D: -0.032500 Loss_G: 0.035707 Loss_D_real: -0.028942 Loss_D_fake 0.003557
[330/5000][330/535][33797] Loss_D: -0.029304 Loss_G: -0.016128 Loss_D_real: 0.004297 Loss_D_fake 0.033601
[330/5000][335/535][33798] Loss_D: -0.029501 Loss_G: 0.034888 Loss_D_real: -0.032479 Loss_D_fake -0.002977
[330/5000][340/535][33799] Loss_D: -0.029986 Loss_G: 0.025206 Loss_D_real: -0.018190 Loss_D_fake 0.011797
[330/5000][345/535][33800] Loss_D: -0.031307 Loss_G: 0.018677 Loss_D_real: -0.019696 Loss_D_fake 0.011611
[330/5000][350/535][33801] Loss_D: -0.029691 Loss_G: -0.010708 Loss_D_real: -0.006763 Loss_D_fake 0.022929
[330/5000][355/535][33802] Loss_D: -0.030036 Loss_G: 0.004298 Loss_D_real: -0.012184 Loss_D_fake 0.017853
[330/5000][360/535][33803] Loss_D: -0.030491 Loss_G: 0.018671 Loss_D_real: -0.021988 Loss_D_fake 0.008503
[330/5000][365/535][33804] Loss_D: -0.030387 Loss_G: 0.021784 Loss_D_real: -0.033523 Loss_D_fake -0.003136
[330/5000][370/535][33805] Loss_D: -0.032557 Loss_G: 0.025994 Loss_D_real: -0.022863 Loss_D_fake 0.009694
[330/5000][375/535][33806] Loss_D: -0.032769 Loss_G: -0.013111 Loss_D_real: -0.011721 Loss_D_fake 0.021048
[330/5000][380/535][33807] Loss_D: -0.031858 Loss_G: 0.015294 Loss_D_real: -0.027613 Loss_D_fake 0.004244
[330/5000][385/535][33808] Loss_D: -0.030947 Loss_G: 0.018170 Loss_D_real: -0.019486 Loss_D_fake 0.011461
[330/5000][390/535][33809] Loss_D: -0.030286 Loss_G: 0.024949 Loss_D_real: -0.023194 Loss_D_fake 0.007092
[330/5000][395/535][33810] Loss_D: -0.031617 Loss_G: 0.023363 Loss_D_real: -0.023739 Loss_D_fake 0.007878
[330/5000][400/535][33811] Loss_D: -0.029356 Loss_G: -0.004832 Loss_D_real: -0.006595 Loss_D_fake 0.022761
[330/5000][405/535][33812] Loss_D: -0.028722 Loss_G: 0.035502 Loss_D_real: -0.033797 Loss_D_fake -0.005074
[330/5000][410/535][33813] Loss_D: -0.030564 Loss_G: 0.022549 Loss_D_real: -0.019758 Loss_D_fake 0.010806
[330/5000][415/535][33814] Loss_D: -0.031882 Loss_G: 0.003269 Loss_D_real: -0.009198 Loss_D_fake 0.022684
[330/5000][420/535][33815] Loss_D: -0.030504 Loss_G: 0.028688 Loss_D_real: -0.023510 Loss_D_fake 0.006994
[330/5000][425/535][33816] Loss_D: -0.029250 Loss_G: -0.007469 Loss_D_real: 0.000648 Loss_D_fake 0.029898
[330/5000][430/535][33817] Loss_D: -0.029525 Loss_G: 0.011697 Loss_D_real: -0.017869 Loss_D_fake 0.011656
[330/5000][435/535][33818] Loss_D: -0.031674 Loss_G: 0.022777 Loss_D_real: -0.015610 Loss_D_fake 0.016063
[330/5000][440/535][33819] Loss_D: -0.032546 Loss_G: -0.004983 Loss_D_real: -0.009390 Loss_D_fake 0.023156
[330/5000][445/535][33820] Loss_D: -0.032176 Loss_G: 0.023099 Loss_D_real: -0.023569 Loss_D_fake 0.008607
[330/5000][450/535][33821] Loss_D: -0.031807 Loss_G: 0.023741 Loss_D_real: -0.014211 Loss_D_fake 0.017596
[330/5000][455/535][33822] Loss_D: -0.031473 Loss_G: 0.001476 Loss_D_real: -0.012028 Loss_D_fake 0.019445
[330/5000][460/535][33823] Loss_D: -0.030625 Loss_G: 0.039980 Loss_D_real: -0.035528 Loss_D_fake -0.004904
[330/5000][465/535][33824] Loss_D: -0.029262 Loss_G: -0.011363 Loss_D_real: 0.001440 Loss_D_fake 0.030702
[330/5000][470/535][33825] Loss_D: -0.029719 Loss_G: 0.021683 Loss_D_real: -0.034029 Loss_D_fake -0.004310
[330/5000][475/535][33826] Loss_D: -0.032166 Loss_G: 0.015050 Loss_D_real: -0.014868 Loss_D_fake 0.017299
[330/5000][480/535][33827] Loss_D: -0.033430 Loss_G: 0.016469 Loss_D_real: -0.022287 Loss_D_fake 0.011143
[330/5000][485/535][33828] Loss_D: -0.032534 Loss_G: 0.001171 Loss_D_real: -0.011398 Loss_D_fake 0.021136
[330/5000][490/535][33829] Loss_D: -0.030169 Loss_G: 0.039808 Loss_D_real: -0.037448 Loss_D_fake -0.007279
[330/5000][495/535][33830] Loss_D: -0.031919 Loss_G: 0.026767 Loss_D_real: -0.020542 Loss_D_fake 0.011378
[330/5000][500/535][33831] Loss_D: -0.031553 Loss_G: 0.004516 Loss_D_real: -0.014056 Loss_D_fake 0.017497
[330/5000][505/535][33832] Loss_D: -0.029894 Loss_G: 0.026311 Loss_D_real: -0.027643 Loss_D_fake 0.002251
[330/5000][510/535][33833] Loss_D: -0.031257 Loss_G: 0.004240 Loss_D_real: -0.015521 Loss_D_fake 0.015735
[330/5000][515/535][33834] Loss_D: -0.030263 Loss_G: 0.010951 Loss_D_real: -0.021592 Loss_D_fake 0.008671
[330/5000][520/535][33835] Loss_D: -0.031712 Loss_G: 0.026150 Loss_D_real: -0.028774 Loss_D_fake 0.002938
[330/5000][525/535][33836] Loss_D: -0.031415 Loss_G: 0.006651 Loss_D_real: -0.021687 Loss_D_fake 0.009728
[330/5000][530/535][33837] Loss_D: -0.032673 Loss_G: 0.036591 Loss_D_real: -0.032269 Loss_D_fake 0.000404
[330/5000][535/535][33838] Loss_D: -0.029697 Loss_G: 0.033633 Loss_D_real: -0.023723 Loss_D_fake 0.005974
[331/5000][5/535][33839] Loss_D: -0.031485 Loss_G: -0.005919 Loss_D_real: -0.012526 Loss_D_fake 0.018960
[331/5000][10/535][33840] Loss_D: -0.028678 Loss_G: 0.030791 Loss_D_real: -0.035721 Loss_D_fake -0.007043
[331/5000][15/535][33841] Loss_D: -0.030326 Loss_G: 0.016588 Loss_D_real: -0.012691 Loss_D_fake 0.017635
[331/5000][20/535][33842] Loss_D: -0.030698 Loss_G: 0.018206 Loss_D_real: -0.023671 Loss_D_fake 0.007027
[331/5000][25/535][33843] Loss_D: -0.031373 Loss_G: 0.012674 Loss_D_real: -0.013207 Loss_D_fake 0.018166
[331/5000][30/535][33844] Loss_D: -0.030639 Loss_G: 0.033107 Loss_D_real: -0.038965 Loss_D_fake -0.008326
[331/5000][35/535][33845] Loss_D: -0.030161 Loss_G: 0.018565 Loss_D_real: -0.013907 Loss_D_fake 0.016253
[331/5000][40/535][33846] Loss_D: -0.030610 Loss_G: 0.006757 Loss_D_real: -0.013125 Loss_D_fake 0.017484
[331/5000][45/535][33847] Loss_D: -0.029808 Loss_G: 0.006501 Loss_D_real: -0.008861 Loss_D_fake 0.020946
[331/5000][50/535][33848] Loss_D: -0.029849 Loss_G: 0.037113 Loss_D_real: -0.027007 Loss_D_fake 0.002843
[331/5000][55/535][33849] Loss_D: -0.030246 Loss_G: 0.003310 Loss_D_real: -0.010751 Loss_D_fake 0.019496
[331/5000][60/535][33850] Loss_D: -0.030787 Loss_G: 0.013772 Loss_D_real: -0.019816 Loss_D_fake 0.010971
[331/5000][65/535][33851] Loss_D: -0.031825 Loss_G: 0.023774 Loss_D_real: -0.020952 Loss_D_fake 0.010872
[331/5000][70/535][33852] Loss_D: -0.031274 Loss_G: 0.009965 Loss_D_real: -0.012542 Loss_D_fake 0.018732
[331/5000][75/535][33853] Loss_D: -0.032181 Loss_G: -0.002096 Loss_D_real: -0.007699 Loss_D_fake 0.024483
[331/5000][80/535][33854] Loss_D: -0.030077 Loss_G: 0.038259 Loss_D_real: -0.040016 Loss_D_fake -0.009939
[331/5000][85/535][33855] Loss_D: -0.030117 Loss_G: 0.032181 Loss_D_real: -0.029208 Loss_D_fake 0.000908
[331/5000][90/535][33856] Loss_D: -0.031656 Loss_G: 0.008866 Loss_D_real: -0.026690 Loss_D_fake 0.004966
[331/5000][95/535][33857] Loss_D: -0.029900 Loss_G: 0.032898 Loss_D_real: -0.036579 Loss_D_fake -0.006679
[331/5000][100/535][33858] Loss_D: -0.031004 Loss_G: 0.007623 Loss_D_real: -0.012537 Loss_D_fake 0.018467
[331/5000][105/535][33859] Loss_D: -0.030583 Loss_G: 0.040382 Loss_D_real: -0.031234 Loss_D_fake -0.000651
[331/5000][110/535][33860] Loss_D: -0.032014 Loss_G: 0.022705 Loss_D_real: -0.016275 Loss_D_fake 0.015740
[331/5000][115/535][33861] Loss_D: -0.030313 Loss_G: 0.035901 Loss_D_real: -0.040806 Loss_D_fake -0.010494
[331/5000][120/535][33862] Loss_D: -0.031015 Loss_G: 0.029347 Loss_D_real: -0.026281 Loss_D_fake 0.004734
[331/5000][125/535][33863] Loss_D: -0.031243 Loss_G: 0.013523 Loss_D_real: -0.026310 Loss_D_fake 0.004933
[331/5000][130/535][33864] Loss_D: -0.031934 Loss_G: 0.023838 Loss_D_real: -0.025527 Loss_D_fake 0.006408
[331/5000][135/535][33865] Loss_D: -0.029888 Loss_G: 0.002511 Loss_D_real: -0.008152 Loss_D_fake 0.021736
[331/5000][140/535][33866] Loss_D: -0.032343 Loss_G: 0.036136 Loss_D_real: -0.033981 Loss_D_fake -0.001638
[331/5000][145/535][33867] Loss_D: -0.031825 Loss_G: 0.012340 Loss_D_real: -0.017049 Loss_D_fake 0.014775
[331/5000][150/535][33868] Loss_D: -0.032248 Loss_G: 0.007665 Loss_D_real: -0.019160 Loss_D_fake 0.013088
[331/5000][155/535][33869] Loss_D: -0.031327 Loss_G: 0.030588 Loss_D_real: -0.032189 Loss_D_fake -0.000862
[331/5000][160/535][33870] Loss_D: -0.032517 Loss_G: 0.000122 Loss_D_real: -0.008596 Loss_D_fake 0.023921
[331/5000][165/535][33871] Loss_D: -0.031476 Loss_G: 0.011838 Loss_D_real: -0.016063 Loss_D_fake 0.015413
[331/5000][170/535][33872] Loss_D: -0.032063 Loss_G: 0.011063 Loss_D_real: -0.023684 Loss_D_fake 0.008379
[331/5000][175/535][33873] Loss_D: -0.030790 Loss_G: 0.037559 Loss_D_real: -0.036484 Loss_D_fake -0.005694
[331/5000][180/535][33874] Loss_D: -0.030893 Loss_G: 0.033651 Loss_D_real: -0.025677 Loss_D_fake 0.005216
[331/5000][185/535][33875] Loss_D: -0.029482 Loss_G: -0.007113 Loss_D_real: -0.006482 Loss_D_fake 0.023000
[331/5000][190/535][33876] Loss_D: -0.029205 Loss_G: 0.036138 Loss_D_real: -0.038412 Loss_D_fake -0.009207
[331/5000][195/535][33877] Loss_D: -0.030996 Loss_G: -0.003357 Loss_D_real: -0.003774 Loss_D_fake 0.027221
[331/5000][200/535][33878] Loss_D: -0.029615 Loss_G: 0.028689 Loss_D_real: -0.028438 Loss_D_fake 0.001177
[331/5000][205/535][33879] Loss_D: -0.030128 Loss_G: 0.000725 Loss_D_real: -0.006994 Loss_D_fake 0.023134
[331/5000][210/535][33880] Loss_D: -0.030090 Loss_G: 0.023671 Loss_D_real: -0.036358 Loss_D_fake -0.006268
[331/5000][215/535][33881] Loss_D: -0.031277 Loss_G: 0.037571 Loss_D_real: -0.034062 Loss_D_fake -0.002785
[331/5000][220/535][33882] Loss_D: -0.029538 Loss_G: -0.010060 Loss_D_real: 0.001719 Loss_D_fake 0.031257
[331/5000][225/535][33883] Loss_D: -0.030672 Loss_G: 0.013548 Loss_D_real: -0.012810 Loss_D_fake 0.017862
[331/5000][230/535][33884] Loss_D: -0.031040 Loss_G: 0.015894 Loss_D_real: -0.024088 Loss_D_fake 0.006951
[331/5000][235/535][33885] Loss_D: -0.030416 Loss_G: 0.017728 Loss_D_real: -0.021596 Loss_D_fake 0.008820
[331/5000][240/535][33886] Loss_D: -0.032257 Loss_G: 0.010817 Loss_D_real: -0.012196 Loss_D_fake 0.020061
[331/5000][245/535][33887] Loss_D: -0.030417 Loss_G: 0.014132 Loss_D_real: -0.016857 Loss_D_fake 0.013559
[331/5000][250/535][33888] Loss_D: -0.029520 Loss_G: 0.019635 Loss_D_real: -0.028023 Loss_D_fake 0.001497
[331/5000][255/535][33889] Loss_D: -0.029602 Loss_G: 0.010160 Loss_D_real: -0.017770 Loss_D_fake 0.011832
[331/5000][260/535][33890] Loss_D: -0.031646 Loss_G: 0.018456 Loss_D_real: -0.021676 Loss_D_fake 0.009970
[331/5000][265/535][33891] Loss_D: -0.030371 Loss_G: -0.004978 Loss_D_real: 0.001174 Loss_D_fake 0.031545
[331/5000][270/535][33892] Loss_D: -0.029596 Loss_G: 0.037147 Loss_D_real: -0.038733 Loss_D_fake -0.009138
[331/5000][275/535][33893] Loss_D: -0.030444 Loss_G: 0.000817 Loss_D_real: 0.001212 Loss_D_fake 0.031657
[331/5000][280/535][33894] Loss_D: -0.029499 Loss_G: 0.045973 Loss_D_real: -0.036825 Loss_D_fake -0.007326
[331/5000][285/535][33895] Loss_D: -0.029949 Loss_G: -0.004969 Loss_D_real: -0.007068 Loss_D_fake 0.022880
[331/5000][290/535][33896] Loss_D: -0.032387 Loss_G: 0.021591 Loss_D_real: -0.029459 Loss_D_fake 0.002928
[331/5000][295/535][33897] Loss_D: -0.030776 Loss_G: 0.018181 Loss_D_real: -0.017618 Loss_D_fake 0.013158
[331/5000][300/535][33898] Loss_D: -0.032330 Loss_G: 0.024134 Loss_D_real: -0.025653 Loss_D_fake 0.006677
[331/5000][305/535][33899] Loss_D: -0.031106 Loss_G: -0.001845 Loss_D_real: -0.007376 Loss_D_fake 0.023730
[331/5000][310/535][33900] Loss_D: -0.029743 Loss_G: 0.005790 Loss_D_real: -0.014161 Loss_D_fake 0.015582
[331/5000][315/535][33901] Loss_D: -0.031064 Loss_G: 0.029104 Loss_D_real: -0.029011 Loss_D_fake 0.002053
[331/5000][320/535][33902] Loss_D: -0.029688 Loss_G: 0.016134 Loss_D_real: -0.009090 Loss_D_fake 0.020599
[331/5000][325/535][33903] Loss_D: -0.030965 Loss_G: 0.021147 Loss_D_real: -0.029509 Loss_D_fake 0.001457
[331/5000][330/535][33904] Loss_D: -0.029389 Loss_G: -0.013849 Loss_D_real: -0.001171 Loss_D_fake 0.028217
[331/5000][335/535][33905] Loss_D: -0.029858 Loss_G: 0.023990 Loss_D_real: -0.026003 Loss_D_fake 0.003855
[331/5000][340/535][33906] Loss_D: -0.030485 Loss_G: 0.018097 Loss_D_real: -0.021064 Loss_D_fake 0.009421
[331/5000][345/535][33907] Loss_D: -0.030087 Loss_G: 0.012603 Loss_D_real: -0.019308 Loss_D_fake 0.010778
[331/5000][350/535][33908] Loss_D: -0.031029 Loss_G: 0.019008 Loss_D_real: -0.026638 Loss_D_fake 0.004390
[331/5000][355/535][33909] Loss_D: -0.032023 Loss_G: 0.025812 Loss_D_real: -0.025712 Loss_D_fake 0.006311
[331/5000][360/535][33910] Loss_D: -0.031691 Loss_G: 0.030256 Loss_D_real: -0.022777 Loss_D_fake 0.008914
[331/5000][365/535][33911] Loss_D: -0.030516 Loss_G: 0.029015 Loss_D_real: -0.037088 Loss_D_fake -0.006571
[331/5000][370/535][33912] Loss_D: -0.030574 Loss_G: 0.037997 Loss_D_real: -0.035259 Loss_D_fake -0.004685
[331/5000][375/535][33913] Loss_D: -0.031264 Loss_G: -0.004633 Loss_D_real: -0.014842 Loss_D_fake 0.016422
[331/5000][380/535][33914] Loss_D: -0.030597 Loss_G: 0.034599 Loss_D_real: -0.024587 Loss_D_fake 0.006009
[331/5000][385/535][33915] Loss_D: -0.031153 Loss_G: 0.007475 Loss_D_real: -0.013220 Loss_D_fake 0.017933
[331/5000][390/535][33916] Loss_D: -0.031539 Loss_G: 0.018769 Loss_D_real: -0.019161 Loss_D_fake 0.012378
[331/5000][395/535][33917] Loss_D: -0.030156 Loss_G: 0.035183 Loss_D_real: -0.041479 Loss_D_fake -0.011323
[331/5000][400/535][33918] Loss_D: -0.031460 Loss_G: 0.001051 Loss_D_real: -0.009974 Loss_D_fake 0.021486
[331/5000][405/535][33919] Loss_D: -0.031483 Loss_G: 0.035144 Loss_D_real: -0.032484 Loss_D_fake -0.001002
[331/5000][410/535][33920] Loss_D: -0.030668 Loss_G: -0.011835 Loss_D_real: 0.000765 Loss_D_fake 0.031434
[331/5000][415/535][33921] Loss_D: -0.029124 Loss_G: 0.015012 Loss_D_real: -0.021936 Loss_D_fake 0.007188
[331/5000][420/535][33922] Loss_D: -0.028123 Loss_G: -0.007095 Loss_D_real: -0.002916 Loss_D_fake 0.025207
[331/5000][425/535][33923] Loss_D: -0.029573 Loss_G: 0.015730 Loss_D_real: -0.020518 Loss_D_fake 0.009055
[331/5000][430/535][33924] Loss_D: -0.030762 Loss_G: 0.009831 Loss_D_real: -0.009188 Loss_D_fake 0.021574
[331/5000][435/535][33925] Loss_D: -0.031464 Loss_G: 0.005034 Loss_D_real: -0.006407 Loss_D_fake 0.025057
[331/5000][440/535][33926] Loss_D: -0.029976 Loss_G: 0.014168 Loss_D_real: -0.031619 Loss_D_fake -0.001643
[331/5000][445/535][33927] Loss_D: -0.032429 Loss_G: 0.032970 Loss_D_real: -0.027440 Loss_D_fake 0.004989
[331/5000][450/535][33928] Loss_D: -0.030968 Loss_G: -0.000036 Loss_D_real: 0.001315 Loss_D_fake 0.032283
[331/5000][455/535][33929] Loss_D: -0.031246 Loss_G: 0.032591 Loss_D_real: -0.026980 Loss_D_fake 0.004266
[331/5000][460/535][33930] Loss_D: -0.031831 Loss_G: -0.004799 Loss_D_real: 0.003226 Loss_D_fake 0.035057
[331/5000][465/535][33931] Loss_D: -0.031374 Loss_G: 0.012673 Loss_D_real: -0.018354 Loss_D_fake 0.013020
[331/5000][470/535][33932] Loss_D: -0.030553 Loss_G: 0.032600 Loss_D_real: -0.031077 Loss_D_fake -0.000523
[331/5000][475/535][33933] Loss_D: -0.031700 Loss_G: 0.017725 Loss_D_real: -0.022998 Loss_D_fake 0.008702
[331/5000][480/535][33934] Loss_D: -0.031343 Loss_G: 0.006640 Loss_D_real: -0.013723 Loss_D_fake 0.017620
[331/5000][485/535][33935] Loss_D: -0.033050 Loss_G: 0.022906 Loss_D_real: -0.022451 Loss_D_fake 0.010599
[331/5000][490/535][33936] Loss_D: -0.031680 Loss_G: -0.006008 Loss_D_real: -0.014441 Loss_D_fake 0.017239
[331/5000][495/535][33937] Loss_D: -0.031989 Loss_G: 0.035493 Loss_D_real: -0.027756 Loss_D_fake 0.004233
[331/5000][500/535][33938] Loss_D: -0.031831 Loss_G: 0.000320 Loss_D_real: -0.005462 Loss_D_fake 0.026369
[331/5000][505/535][33939] Loss_D: -0.032325 Loss_G: 0.002323 Loss_D_real: -0.012536 Loss_D_fake 0.019789
[331/5000][510/535][33940] Loss_D: -0.030557 Loss_G: 0.030533 Loss_D_real: -0.035843 Loss_D_fake -0.005285
[331/5000][515/535][33941] Loss_D: -0.031503 Loss_G: 0.019336 Loss_D_real: -0.011894 Loss_D_fake 0.019609
[331/5000][520/535][33942] Loss_D: -0.034522 Loss_G: 0.014612 Loss_D_real: -0.011842 Loss_D_fake 0.022680
[331/5000][525/535][33943] Loss_D: -0.030959 Loss_G: 0.017888 Loss_D_real: -0.021941 Loss_D_fake 0.009018
[331/5000][530/535][33944] Loss_D: -0.030803 Loss_G: 0.044454 Loss_D_real: -0.038172 Loss_D_fake -0.007369
[331/5000][535/535][33945] Loss_D: -0.031039 Loss_G: 0.000739 Loss_D_real: -0.018539 Loss_D_fake 0.012500
[332/5000][5/535][33946] Loss_D: -0.030387 Loss_G: 0.005618 Loss_D_real: -0.018919 Loss_D_fake 0.011467
[332/5000][10/535][33947] Loss_D: -0.033130 Loss_G: 0.016644 Loss_D_real: -0.023476 Loss_D_fake 0.009654
[332/5000][15/535][33948] Loss_D: -0.030520 Loss_G: -0.000544 Loss_D_real: -0.008013 Loss_D_fake 0.022507
[332/5000][20/535][33949] Loss_D: -0.030740 Loss_G: 0.026042 Loss_D_real: -0.025717 Loss_D_fake 0.005023
[332/5000][25/535][33950] Loss_D: -0.030691 Loss_G: 0.020344 Loss_D_real: -0.025780 Loss_D_fake 0.004910
[332/5000][30/535][33951] Loss_D: -0.031866 Loss_G: 0.021561 Loss_D_real: -0.022986 Loss_D_fake 0.008880
[332/5000][35/535][33952] Loss_D: -0.031878 Loss_G: 0.016289 Loss_D_real: -0.018966 Loss_D_fake 0.012912
[332/5000][40/535][33953] Loss_D: -0.032327 Loss_G: 0.019436 Loss_D_real: -0.018751 Loss_D_fake 0.013575
[332/5000][45/535][33954] Loss_D: -0.032628 Loss_G: 0.025460 Loss_D_real: -0.025622 Loss_D_fake 0.007007
[332/5000][50/535][33955] Loss_D: -0.030380 Loss_G: 0.006175 Loss_D_real: -0.011420 Loss_D_fake 0.018960
[332/5000][55/535][33956] Loss_D: -0.032113 Loss_G: 0.029650 Loss_D_real: -0.031925 Loss_D_fake 0.000188
[332/5000][60/535][33957] Loss_D: -0.031161 Loss_G: 0.010311 Loss_D_real: -0.024251 Loss_D_fake 0.006910
[332/5000][65/535][33958] Loss_D: -0.029756 Loss_G: 0.038137 Loss_D_real: -0.039710 Loss_D_fake -0.009955
[332/5000][70/535][33959] Loss_D: -0.031136 Loss_G: 0.007699 Loss_D_real: -0.016988 Loss_D_fake 0.014149
[332/5000][75/535][33960] Loss_D: -0.032522 Loss_G: 0.021554 Loss_D_real: -0.021545 Loss_D_fake 0.010977
[332/5000][80/535][33961] Loss_D: -0.031790 Loss_G: 0.011254 Loss_D_real: -0.010776 Loss_D_fake 0.021014
[332/5000][85/535][33962] Loss_D: -0.029925 Loss_G: 0.002611 Loss_D_real: -0.010721 Loss_D_fake 0.019204
[332/5000][90/535][33963] Loss_D: -0.030309 Loss_G: 0.028019 Loss_D_real: -0.029225 Loss_D_fake 0.001083
[332/5000][95/535][33964] Loss_D: -0.031667 Loss_G: 0.001887 Loss_D_real: -0.002240 Loss_D_fake 0.029427
[332/5000][100/535][33965] Loss_D: -0.030478 Loss_G: 0.006008 Loss_D_real: -0.014309 Loss_D_fake 0.016169
[332/5000][105/535][33966] Loss_D: -0.029750 Loss_G: 0.033723 Loss_D_real: -0.039185 Loss_D_fake -0.009436
[332/5000][110/535][33967] Loss_D: -0.030884 Loss_G: 0.011617 Loss_D_real: -0.018071 Loss_D_fake 0.012814
[332/5000][115/535][33968] Loss_D: -0.030547 Loss_G: 0.006482 Loss_D_real: -0.012535 Loss_D_fake 0.018012
[332/5000][120/535][33969] Loss_D: -0.031728 Loss_G: 0.014751 Loss_D_real: -0.009344 Loss_D_fake 0.022384
[332/5000][125/535][33970] Loss_D: -0.031492 Loss_G: 0.027905 Loss_D_real: -0.027791 Loss_D_fake 0.003701
[332/5000][130/535][33971] Loss_D: -0.029316 Loss_G: -0.014124 Loss_D_real: -0.001574 Loss_D_fake 0.027741
[332/5000][135/535][33972] Loss_D: -0.029755 Loss_G: 0.019087 Loss_D_real: -0.021067 Loss_D_fake 0.008688
[332/5000][140/535][33973] Loss_D: -0.031770 Loss_G: 0.009836 Loss_D_real: -0.016777 Loss_D_fake 0.014993
[332/5000][145/535][33974] Loss_D: -0.029981 Loss_G: 0.036981 Loss_D_real: -0.035747 Loss_D_fake -0.005766
[332/5000][150/535][33975] Loss_D: -0.030226 Loss_G: 0.031461 Loss_D_real: -0.027780 Loss_D_fake 0.002446
[332/5000][155/535][33976] Loss_D: -0.031078 Loss_G: 0.001717 Loss_D_real: -0.008064 Loss_D_fake 0.023014
[332/5000][160/535][33977] Loss_D: -0.031011 Loss_G: 0.026378 Loss_D_real: -0.032488 Loss_D_fake -0.001478
[332/5000][165/535][33978] Loss_D: -0.029360 Loss_G: 0.040081 Loss_D_real: -0.043738 Loss_D_fake -0.014379
[332/5000][170/535][33979] Loss_D: -0.029693 Loss_G: 0.023645 Loss_D_real: -0.017083 Loss_D_fake 0.012610
[332/5000][175/535][33980] Loss_D: -0.031073 Loss_G: 0.021864 Loss_D_real: -0.021678 Loss_D_fake 0.009395
[332/5000][180/535][33981] Loss_D: -0.029021 Loss_G: 0.003871 Loss_D_real: -0.000894 Loss_D_fake 0.028127
[332/5000][185/535][33982] Loss_D: -0.029838 Loss_G: 0.023458 Loss_D_real: -0.024091 Loss_D_fake 0.005747
[332/5000][190/535][33983] Loss_D: -0.029309 Loss_G: 0.043092 Loss_D_real: -0.041898 Loss_D_fake -0.012590
[332/5000][195/535][33984] Loss_D: -0.030374 Loss_G: 0.000584 Loss_D_real: 0.000889 Loss_D_fake 0.031262
[332/5000][200/535][33985] Loss_D: -0.030167 Loss_G: 0.021873 Loss_D_real: -0.020445 Loss_D_fake 0.009722
[332/5000][205/535][33986] Loss_D: -0.029375 Loss_G: 0.031218 Loss_D_real: -0.033188 Loss_D_fake -0.003813
[332/5000][210/535][33987] Loss_D: -0.030765 Loss_G: 0.024986 Loss_D_real: -0.025024 Loss_D_fake 0.005741
[332/5000][215/535][33988] Loss_D: -0.030542 Loss_G: 0.028629 Loss_D_real: -0.037105 Loss_D_fake -0.006564
[332/5000][220/535][33989] Loss_D: -0.030366 Loss_G: 0.026908 Loss_D_real: -0.025262 Loss_D_fake 0.005104
[332/5000][225/535][33990] Loss_D: -0.031763 Loss_G: 0.025842 Loss_D_real: -0.030782 Loss_D_fake 0.000982
[332/5000][230/535][33991] Loss_D: -0.030415 Loss_G: -0.004759 Loss_D_real: -0.004104 Loss_D_fake 0.026311
[332/5000][235/535][33992] Loss_D: -0.028493 Loss_G: 0.045333 Loss_D_real: -0.040271 Loss_D_fake -0.011778
[332/5000][240/535][33993] Loss_D: -0.030841 Loss_G: 0.003182 Loss_D_real: -0.009977 Loss_D_fake 0.020863
[332/5000][245/535][33994] Loss_D: -0.030354 Loss_G: 0.022347 Loss_D_real: -0.018381 Loss_D_fake 0.011973
[332/5000][250/535][33995] Loss_D: -0.031337 Loss_G: 0.002774 Loss_D_real: -0.010979 Loss_D_fake 0.020358
[332/5000][255/535][33996] Loss_D: -0.029899 Loss_G: 0.030921 Loss_D_real: -0.039591 Loss_D_fake -0.009692
[332/5000][260/535][33997] Loss_D: -0.031072 Loss_G: 0.015388 Loss_D_real: -0.022503 Loss_D_fake 0.008569
[332/5000][265/535][33998] Loss_D: -0.030213 Loss_G: 0.025144 Loss_D_real: -0.023994 Loss_D_fake 0.006218
[332/5000][270/535][33999] Loss_D: -0.030625 Loss_G: 0.012638 Loss_D_real: -0.019807 Loss_D_fake 0.010818
[332/5000][275/535][34000] Loss_D: -0.029159 Loss_G: 0.035984 Loss_D_real: -0.027337 Loss_D_fake 0.001822
[332/5000][375/535][34001] Loss_D: -0.030632 Loss_G: 0.029615 Loss_D_real: -0.037016 Loss_D_fake -0.006384
[332/5000][380/535][34002] Loss_D: -0.034079 Loss_G: 0.020173 Loss_D_real: -0.019691 Loss_D_fake 0.014388
[332/5000][385/535][34003] Loss_D: -0.027966 Loss_G: 0.024904 Loss_D_real: -0.025083 Loss_D_fake 0.002883
[332/5000][390/535][34004] Loss_D: -0.028044 Loss_G: 0.020735 Loss_D_real: -0.032790 Loss_D_fake -0.004745
[332/5000][395/535][34005] Loss_D: -0.028556 Loss_G: 0.013164 Loss_D_real: -0.012714 Loss_D_fake 0.015842
[332/5000][400/535][34006] Loss_D: -0.029950 Loss_G: 0.016185 Loss_D_real: -0.019855 Loss_D_fake 0.010095
[332/5000][405/535][34007] Loss_D: -0.029139 Loss_G: 0.025824 Loss_D_real: -0.024147 Loss_D_fake 0.004993
[332/5000][410/535][34008] Loss_D: -0.030179 Loss_G: 0.001313 Loss_D_real: -0.004518 Loss_D_fake 0.025660
[332/5000][415/535][34009] Loss_D: -0.030452 Loss_G: 0.018098 Loss_D_real: -0.025477 Loss_D_fake 0.004975
[332/5000][420/535][34010] Loss_D: -0.028820 Loss_G: 0.032778 Loss_D_real: -0.033245 Loss_D_fake -0.004425
[332/5000][425/535][34011] Loss_D: -0.030549 Loss_G: 0.033051 Loss_D_real: -0.029873 Loss_D_fake 0.000676
[332/5000][430/535][34012] Loss_D: -0.030665 Loss_G: 0.009924 Loss_D_real: -0.014773 Loss_D_fake 0.015893
[332/5000][435/535][34013] Loss_D: -0.029590 Loss_G: 0.019367 Loss_D_real: -0.017701 Loss_D_fake 0.011888
[332/5000][440/535][34014] Loss_D: -0.029781 Loss_G: 0.002610 Loss_D_real: -0.014684 Loss_D_fake 0.015097
[332/5000][445/535][34015] Loss_D: -0.030531 Loss_G: 0.036648 Loss_D_real: -0.035001 Loss_D_fake -0.004470
[332/5000][450/535][34016] Loss_D: -0.029080 Loss_G: -0.005228 Loss_D_real: 0.003485 Loss_D_fake 0.032565
[332/5000][455/535][34017] Loss_D: -0.030120 Loss_G: 0.019551 Loss_D_real: -0.028095 Loss_D_fake 0.002024
[332/5000][460/535][34018] Loss_D: -0.032260 Loss_G: 0.012435 Loss_D_real: -0.014449 Loss_D_fake 0.017811
[332/5000][465/535][34019] Loss_D: -0.030420 Loss_G: -0.001654 Loss_D_real: -0.011317 Loss_D_fake 0.019103
[332/5000][470/535][34020] Loss_D: -0.029284 Loss_G: 0.030570 Loss_D_real: -0.028474 Loss_D_fake 0.000810
[332/5000][475/535][34021] Loss_D: -0.031183 Loss_G: 0.012525 Loss_D_real: -0.013445 Loss_D_fake 0.017738
[332/5000][480/535][34022] Loss_D: -0.030217 Loss_G: 0.028049 Loss_D_real: -0.028466 Loss_D_fake 0.001751
[332/5000][485/535][34023] Loss_D: -0.031189 Loss_G: 0.024347 Loss_D_real: -0.027426 Loss_D_fake 0.003763
[332/5000][490/535][34024] Loss_D: -0.031538 Loss_G: 0.011314 Loss_D_real: -0.020466 Loss_D_fake 0.011073
[332/5000][495/535][34025] Loss_D: -0.031640 Loss_G: 0.001763 Loss_D_real: -0.013977 Loss_D_fake 0.017663
[332/5000][500/535][34026] Loss_D: -0.031193 Loss_G: 0.024326 Loss_D_real: -0.022801 Loss_D_fake 0.008392
[332/5000][505/535][34027] Loss_D: -0.030680 Loss_G: 0.027792 Loss_D_real: -0.031966 Loss_D_fake -0.001286
[332/5000][510/535][34028] Loss_D: -0.031380 Loss_G: 0.025130 Loss_D_real: -0.022989 Loss_D_fake 0.008391
[332/5000][515/535][34029] Loss_D: -0.031011 Loss_G: 0.022025 Loss_D_real: -0.019564 Loss_D_fake 0.011447
[332/5000][520/535][34030] Loss_D: -0.031130 Loss_G: 0.017179 Loss_D_real: -0.023139 Loss_D_fake 0.007991
[332/5000][525/535][34031] Loss_D: -0.030773 Loss_G: 0.028073 Loss_D_real: -0.027455 Loss_D_fake 0.003318
[332/5000][530/535][34032] Loss_D: -0.030623 Loss_G: -0.001635 Loss_D_real: -0.004450 Loss_D_fake 0.026174
[332/5000][535/535][34033] Loss_D: -0.030198 Loss_G: 0.016371 Loss_D_real: -0.020258 Loss_D_fake 0.009940
[333/5000][5/535][34034] Loss_D: -0.030237 Loss_G: 0.019154 Loss_D_real: -0.015060 Loss_D_fake 0.015177
[333/5000][10/535][34035] Loss_D: -0.030183 Loss_G: 0.021209 Loss_D_real: -0.024826 Loss_D_fake 0.005356
[333/5000][15/535][34036] Loss_D: -0.028979 Loss_G: -0.005503 Loss_D_real: -0.000523 Loss_D_fake 0.028457
[333/5000][20/535][34037] Loss_D: -0.028801 Loss_G: 0.031062 Loss_D_real: -0.027302 Loss_D_fake 0.001499
[333/5000][25/535][34038] Loss_D: -0.030369 Loss_G: 0.003682 Loss_D_real: -0.011721 Loss_D_fake 0.018648
[333/5000][30/535][34039] Loss_D: -0.028648 Loss_G: 0.040179 Loss_D_real: -0.037404 Loss_D_fake -0.008756
[333/5000][35/535][34040] Loss_D: -0.030866 Loss_G: 0.030889 Loss_D_real: -0.030123 Loss_D_fake 0.000743
[333/5000][40/535][34041] Loss_D: -0.030551 Loss_G: 0.018335 Loss_D_real: -0.021651 Loss_D_fake 0.008900
[333/5000][45/535][34042] Loss_D: -0.033078 Loss_G: 0.016159 Loss_D_real: -0.018563 Loss_D_fake 0.014515
[333/5000][50/535][34043] Loss_D: -0.031314 Loss_G: 0.018444 Loss_D_real: -0.024594 Loss_D_fake 0.006720
[333/5000][55/535][34044] Loss_D: -0.029642 Loss_G: 0.043359 Loss_D_real: -0.034845 Loss_D_fake -0.005203
[333/5000][60/535][34045] Loss_D: -0.030398 Loss_G: -0.000114 Loss_D_real: -0.005440 Loss_D_fake 0.024958
[333/5000][65/535][34046] Loss_D: -0.028085 Loss_G: 0.036700 Loss_D_real: -0.040837 Loss_D_fake -0.012752
[333/5000][70/535][34047] Loss_D: -0.030596 Loss_G: 0.013604 Loss_D_real: -0.010201 Loss_D_fake 0.020395
[333/5000][75/535][34048] Loss_D: -0.031497 Loss_G: 0.017042 Loss_D_real: -0.019693 Loss_D_fake 0.011805
[333/5000][80/535][34049] Loss_D: -0.031745 Loss_G: -0.002791 Loss_D_real: -0.001289 Loss_D_fake 0.030456
[333/5000][85/535][34050] Loss_D: -0.030259 Loss_G: 0.021057 Loss_D_real: -0.027695 Loss_D_fake 0.002564
[333/5000][90/535][34051] Loss_D: -0.031511 Loss_G: 0.012936 Loss_D_real: -0.020040 Loss_D_fake 0.011470
[333/5000][95/535][34052] Loss_D: -0.031487 Loss_G: 0.025877 Loss_D_real: -0.029109 Loss_D_fake 0.002377
[333/5000][100/535][34053] Loss_D: -0.029358 Loss_G: -0.013338 Loss_D_real: -0.006369 Loss_D_fake 0.022990
[333/5000][105/535][34054] Loss_D: -0.030980 Loss_G: 0.013302 Loss_D_real: -0.029773 Loss_D_fake 0.001208
[333/5000][110/535][34055] Loss_D: -0.031535 Loss_G: 0.013093 Loss_D_real: -0.017653 Loss_D_fake 0.013882
[333/5000][115/535][34056] Loss_D: -0.033035 Loss_G: 0.011098 Loss_D_real: -0.020775 Loss_D_fake 0.012260
[333/5000][120/535][34057] Loss_D: -0.031948 Loss_G: 0.004866 Loss_D_real: -0.012023 Loss_D_fake 0.019925
[333/5000][125/535][34058] Loss_D: -0.031244 Loss_G: 0.021414 Loss_D_real: -0.029810 Loss_D_fake 0.001434
[333/5000][130/535][34059] Loss_D: -0.030918 Loss_G: 0.022666 Loss_D_real: -0.025345 Loss_D_fake 0.005573
[333/5000][135/535][34060] Loss_D: -0.031302 Loss_G: 0.015980 Loss_D_real: -0.013100 Loss_D_fake 0.018203
[333/5000][140/535][34061] Loss_D: -0.030729 Loss_G: 0.014096 Loss_D_real: -0.019418 Loss_D_fake 0.011311
[333/5000][145/535][34062] Loss_D: -0.032107 Loss_G: 0.018798 Loss_D_real: -0.023176 Loss_D_fake 0.008931
[333/5000][150/535][34063] Loss_D: -0.030208 Loss_G: 0.030913 Loss_D_real: -0.029884 Loss_D_fake 0.000324
[333/5000][155/535][34064] Loss_D: -0.030358 Loss_G: 0.026950 Loss_D_real: -0.029528 Loss_D_fake 0.000830
[333/5000][160/535][34065] Loss_D: -0.030787 Loss_G: -0.002533 Loss_D_real: -0.011212 Loss_D_fake 0.019574
[333/5000][165/535][34066] Loss_D: -0.030315 Loss_G: 0.025964 Loss_D_real: -0.030515 Loss_D_fake -0.000199
[333/5000][170/535][34067] Loss_D: -0.029675 Loss_G: 0.002726 Loss_D_real: -0.012846 Loss_D_fake 0.016829
[333/5000][175/535][34068] Loss_D: -0.031879 Loss_G: 0.003706 Loss_D_real: -0.007375 Loss_D_fake 0.024503
[333/5000][180/535][34069] Loss_D: -0.032139 Loss_G: 0.019186 Loss_D_real: -0.022419 Loss_D_fake 0.009721
[333/5000][185/535][34070] Loss_D: -0.031517 Loss_G: 0.026422 Loss_D_real: -0.025882 Loss_D_fake 0.005635
[333/5000][190/535][34071] Loss_D: -0.030561 Loss_G: 0.002399 Loss_D_real: -0.001749 Loss_D_fake 0.028812
[333/5000][195/535][34072] Loss_D: -0.030710 Loss_G: 0.011501 Loss_D_real: -0.011256 Loss_D_fake 0.019453
[333/5000][200/535][34073] Loss_D: -0.030104 Loss_G: -0.013066 Loss_D_real: -0.000479 Loss_D_fake 0.029625
[333/5000][205/535][34074] Loss_D: -0.030320 Loss_G: 0.026542 Loss_D_real: -0.027075 Loss_D_fake 0.003245
[333/5000][210/535][34075] Loss_D: -0.030433 Loss_G: 0.006458 Loss_D_real: -0.016038 Loss_D_fake 0.014395
[333/5000][215/535][34076] Loss_D: -0.028776 Loss_G: 0.041291 Loss_D_real: -0.043348 Loss_D_fake -0.014572
[333/5000][220/535][34077] Loss_D: -0.031604 Loss_G: 0.013759 Loss_D_real: -0.009406 Loss_D_fake 0.022198
[333/5000][225/535][34078] Loss_D: -0.029360 Loss_G: 0.002821 Loss_D_real: -0.014529 Loss_D_fake 0.014831
[333/5000][230/535][34079] Loss_D: -0.031983 Loss_G: 0.017775 Loss_D_real: -0.014187 Loss_D_fake 0.017797
[333/5000][235/535][34080] Loss_D: -0.029813 Loss_G: 0.012768 Loss_D_real: -0.015385 Loss_D_fake 0.014428
[333/5000][240/535][34081] Loss_D: -0.031248 Loss_G: 0.015029 Loss_D_real: -0.017342 Loss_D_fake 0.013906
[333/5000][245/535][34082] Loss_D: -0.032702 Loss_G: 0.007349 Loss_D_real: -0.011835 Loss_D_fake 0.020867
[333/5000][250/535][34083] Loss_D: -0.031734 Loss_G: 0.000031 Loss_D_real: -0.011829 Loss_D_fake 0.019904
[333/5000][255/535][34084] Loss_D: -0.030526 Loss_G: 0.024714 Loss_D_real: -0.016873 Loss_D_fake 0.013653
[333/5000][260/535][34085] Loss_D: -0.030132 Loss_G: 0.026168 Loss_D_real: -0.024506 Loss_D_fake 0.005626
[333/5000][265/535][34086] Loss_D: -0.031107 Loss_G: 0.011282 Loss_D_real: -0.014932 Loss_D_fake 0.016174
[333/5000][270/535][34087] Loss_D: -0.032333 Loss_G: 0.017257 Loss_D_real: -0.018804 Loss_D_fake 0.013529
[333/5000][275/535][34088] Loss_D: -0.029638 Loss_G: 0.045323 Loss_D_real: -0.044654 Loss_D_fake -0.015016
[333/5000][280/535][34089] Loss_D: -0.030210 Loss_G: -0.011939 Loss_D_real: -0.005905 Loss_D_fake 0.024304
[333/5000][285/535][34090] Loss_D: -0.029001 Loss_G: 0.018901 Loss_D_real: -0.034377 Loss_D_fake -0.005376
[333/5000][290/535][34091] Loss_D: -0.032397 Loss_G: 0.022920 Loss_D_real: -0.026732 Loss_D_fake 0.005665
[333/5000][295/535][34092] Loss_D: -0.030850 Loss_G: 0.032780 Loss_D_real: -0.029845 Loss_D_fake 0.001005
[333/5000][300/535][34093] Loss_D: -0.031846 Loss_G: 0.028364 Loss_D_real: -0.027246 Loss_D_fake 0.004601
[333/5000][305/535][34094] Loss_D: -0.030712 Loss_G: -0.007377 Loss_D_real: -0.009966 Loss_D_fake 0.020746
[333/5000][310/535][34095] Loss_D: -0.029361 Loss_G: 0.036277 Loss_D_real: -0.040655 Loss_D_fake -0.011294
[333/5000][315/535][34096] Loss_D: -0.031827 Loss_G: 0.007262 Loss_D_real: -0.009322 Loss_D_fake 0.022505
[333/5000][320/535][34097] Loss_D: -0.031413 Loss_G: 0.029762 Loss_D_real: -0.027553 Loss_D_fake 0.003860
[333/5000][325/535][34098] Loss_D: -0.030397 Loss_G: -0.007432 Loss_D_real: 0.002738 Loss_D_fake 0.033135
[333/5000][330/535][34099] Loss_D: -0.031335 Loss_G: 0.036826 Loss_D_real: -0.028761 Loss_D_fake 0.002574
[333/5000][335/535][34100] Loss_D: -0.029736 Loss_G: -0.004411 Loss_D_real: -0.002291 Loss_D_fake 0.027444
[333/5000][340/535][34101] Loss_D: -0.029812 Loss_G: 0.017598 Loss_D_real: -0.029874 Loss_D_fake -0.000062
[333/5000][345/535][34102] Loss_D: -0.030434 Loss_G: 0.031422 Loss_D_real: -0.032103 Loss_D_fake -0.001669
[333/5000][350/535][34103] Loss_D: -0.027475 Loss_G: 0.048252 Loss_D_real: -0.040820 Loss_D_fake -0.013345
[333/5000][355/535][34104] Loss_D: -0.029611 Loss_G: -0.005643 Loss_D_real: -0.012393 Loss_D_fake 0.017218
[333/5000][360/535][34105] Loss_D: -0.029429 Loss_G: 0.027644 Loss_D_real: -0.024831 Loss_D_fake 0.004598
[333/5000][365/535][34106] Loss_D: -0.030224 Loss_G: -0.002116 Loss_D_real: -0.011787 Loss_D_fake 0.018437
[333/5000][370/535][34107] Loss_D: -0.028875 Loss_G: 0.034139 Loss_D_real: -0.032026 Loss_D_fake -0.003151
[333/5000][375/535][34108] Loss_D: -0.030250 Loss_G: 0.025125 Loss_D_real: -0.019878 Loss_D_fake 0.010372
[333/5000][380/535][34109] Loss_D: -0.031361 Loss_G: 0.009164 Loss_D_real: -0.025682 Loss_D_fake 0.005680
[333/5000][385/535][34110] Loss_D: -0.029248 Loss_G: 0.012167 Loss_D_real: -0.012919 Loss_D_fake 0.016329
[333/5000][390/535][34111] Loss_D: -0.029403 Loss_G: 0.030995 Loss_D_real: -0.025412 Loss_D_fake 0.003991
[333/5000][395/535][34112] Loss_D: -0.030987 Loss_G: 0.012318 Loss_D_real: -0.018514 Loss_D_fake 0.012472
[333/5000][400/535][34113] Loss_D: -0.031215 Loss_G: 0.031990 Loss_D_real: -0.028821 Loss_D_fake 0.002394
[333/5000][405/535][34114] Loss_D: -0.032030 Loss_G: -0.004509 Loss_D_real: -0.003430 Loss_D_fake 0.028600
[333/5000][410/535][34115] Loss_D: -0.029725 Loss_G: 0.028248 Loss_D_real: -0.035245 Loss_D_fake -0.005520
[333/5000][415/535][34116] Loss_D: -0.032355 Loss_G: 0.001334 Loss_D_real: -0.011163 Loss_D_fake 0.021192
[333/5000][420/535][34117] Loss_D: -0.030707 Loss_G: 0.005750 Loss_D_real: -0.014029 Loss_D_fake 0.016677
[333/5000][425/535][34118] Loss_D: -0.030582 Loss_G: 0.034306 Loss_D_real: -0.032711 Loss_D_fake -0.002129
[333/5000][430/535][34119] Loss_D: -0.031721 Loss_G: 0.017662 Loss_D_real: -0.014136 Loss_D_fake 0.017586
[333/5000][435/535][34120] Loss_D: -0.032264 Loss_G: 0.023082 Loss_D_real: -0.023445 Loss_D_fake 0.008819
[333/5000][440/535][34121] Loss_D: -0.030656 Loss_G: 0.017809 Loss_D_real: -0.024431 Loss_D_fake 0.006225
[333/5000][445/535][34122] Loss_D: -0.031558 Loss_G: 0.013506 Loss_D_real: -0.018550 Loss_D_fake 0.013008
[333/5000][450/535][34123] Loss_D: -0.028785 Loss_G: 0.039441 Loss_D_real: -0.038506 Loss_D_fake -0.009721
[333/5000][455/535][34124] Loss_D: -0.030738 Loss_G: -0.000720 Loss_D_real: -0.003738 Loss_D_fake 0.027000
[333/5000][460/535][34125] Loss_D: -0.030788 Loss_G: 0.023232 Loss_D_real: -0.027397 Loss_D_fake 0.003391
[333/5000][465/535][34126] Loss_D: -0.030029 Loss_G: 0.010573 Loss_D_real: -0.019889 Loss_D_fake 0.010140
[333/5000][470/535][34127] Loss_D: -0.029865 Loss_G: 0.008081 Loss_D_real: -0.013262 Loss_D_fake 0.016603
[333/5000][475/535][34128] Loss_D: -0.030419 Loss_G: 0.024588 Loss_D_real: -0.028306 Loss_D_fake 0.002114
[333/5000][480/535][34129] Loss_D: -0.030812 Loss_G: 0.035106 Loss_D_real: -0.033006 Loss_D_fake -0.002194
[333/5000][485/535][34130] Loss_D: -0.030959 Loss_G: 0.004681 Loss_D_real: -0.016253 Loss_D_fake 0.014706
[333/5000][490/535][34131] Loss_D: -0.031616 Loss_G: 0.030484 Loss_D_real: -0.029678 Loss_D_fake 0.001939
[333/5000][495/535][34132] Loss_D: -0.030219 Loss_G: 0.029711 Loss_D_real: -0.035685 Loss_D_fake -0.005466
[333/5000][500/535][34133] Loss_D: -0.031684 Loss_G: 0.000022 Loss_D_real: -0.004222 Loss_D_fake 0.027462
[333/5000][505/535][34134] Loss_D: -0.030783 Loss_G: 0.025064 Loss_D_real: -0.029444 Loss_D_fake 0.001339
[333/5000][510/535][34135] Loss_D: -0.030969 Loss_G: 0.018888 Loss_D_real: -0.022380 Loss_D_fake 0.008589
[333/5000][515/535][34136] Loss_D: -0.032025 Loss_G: -0.001764 Loss_D_real: -0.010638 Loss_D_fake 0.021387
[333/5000][520/535][34137] Loss_D: -0.030165 Loss_G: 0.016246 Loss_D_real: -0.019233 Loss_D_fake 0.010932
[333/5000][525/535][34138] Loss_D: -0.030940 Loss_G: 0.042589 Loss_D_real: -0.032451 Loss_D_fake -0.001511
[333/5000][530/535][34139] Loss_D: -0.031664 Loss_G: 0.011154 Loss_D_real: -0.012900 Loss_D_fake 0.018763
[333/5000][535/535][34140] Loss_D: -0.032593 Loss_G: 0.016009 Loss_D_real: -0.029338 Loss_D_fake 0.003255
[334/5000][5/535][34141] Loss_D: -0.032405 Loss_G: 0.017354 Loss_D_real: -0.015851 Loss_D_fake 0.016554
[334/5000][10/535][34142] Loss_D: -0.031664 Loss_G: 0.027991 Loss_D_real: -0.028697 Loss_D_fake 0.002967
[334/5000][15/535][34143] Loss_D: -0.029879 Loss_G: -0.004205 Loss_D_real: -0.005010 Loss_D_fake 0.024869
[334/5000][20/535][34144] Loss_D: -0.029711 Loss_G: 0.046533 Loss_D_real: -0.030144 Loss_D_fake -0.000433
[334/5000][25/535][34145] Loss_D: -0.030815 Loss_G: 0.005469 Loss_D_real: -0.017426 Loss_D_fake 0.013389
[334/5000][30/535][34146] Loss_D: -0.029942 Loss_G: 0.030059 Loss_D_real: -0.029824 Loss_D_fake 0.000118
[334/5000][35/535][34147] Loss_D: -0.030046 Loss_G: 0.038898 Loss_D_real: -0.036405 Loss_D_fake -0.006359
[334/5000][40/535][34148] Loss_D: -0.031780 Loss_G: 0.010793 Loss_D_real: -0.016902 Loss_D_fake 0.014879
[334/5000][45/535][34149] Loss_D: -0.031749 Loss_G: 0.013354 Loss_D_real: -0.017275 Loss_D_fake 0.014473
[334/5000][50/535][34150] Loss_D: -0.031161 Loss_G: 0.029422 Loss_D_real: -0.033114 Loss_D_fake -0.001953
[334/5000][55/535][34151] Loss_D: -0.031484 Loss_G: 0.023173 Loss_D_real: -0.027738 Loss_D_fake 0.003746
[334/5000][60/535][34152] Loss_D: -0.031458 Loss_G: 0.024106 Loss_D_real: -0.031052 Loss_D_fake 0.000406
[334/5000][65/535][34153] Loss_D: -0.030971 Loss_G: 0.005183 Loss_D_real: -0.005226 Loss_D_fake 0.025744
[334/5000][70/535][34154] Loss_D: -0.030278 Loss_G: 0.002740 Loss_D_real: -0.010633 Loss_D_fake 0.019645
[334/5000][75/535][34155] Loss_D: -0.027344 Loss_G: -0.011814 Loss_D_real: 0.003509 Loss_D_fake 0.030852
[334/5000][80/535][34156] Loss_D: -0.029850 Loss_G: 0.013669 Loss_D_real: -0.016447 Loss_D_fake 0.013403
[334/5000][85/535][34157] Loss_D: -0.030967 Loss_G: 0.036364 Loss_D_real: -0.025577 Loss_D_fake 0.005390
[334/5000][90/535][34158] Loss_D: -0.031712 Loss_G: 0.009523 Loss_D_real: -0.015345 Loss_D_fake 0.016367
[334/5000][95/535][34159] Loss_D: -0.031154 Loss_G: 0.013490 Loss_D_real: -0.022858 Loss_D_fake 0.008296
[334/5000][100/535][34160] Loss_D: -0.031660 Loss_G: 0.017045 Loss_D_real: -0.022455 Loss_D_fake 0.009206
[334/5000][105/535][34161] Loss_D: -0.031623 Loss_G: -0.006540 Loss_D_real: -0.005478 Loss_D_fake 0.026146
[334/5000][110/535][34162] Loss_D: -0.031489 Loss_G: 0.035467 Loss_D_real: -0.028865 Loss_D_fake 0.002623
[334/5000][115/535][34163] Loss_D: -0.030880 Loss_G: 0.008453 Loss_D_real: -0.032282 Loss_D_fake -0.001403
[334/5000][120/535][34164] Loss_D: -0.030917 Loss_G: -0.003821 Loss_D_real: -0.008292 Loss_D_fake 0.022624
[334/5000][125/535][34165] Loss_D: -0.029389 Loss_G: 0.000183 Loss_D_real: -0.000210 Loss_D_fake 0.029178
[334/5000][130/535][34166] Loss_D: -0.029792 Loss_G: 0.005977 Loss_D_real: -0.011225 Loss_D_fake 0.018567
[334/5000][135/535][34167] Loss_D: -0.030584 Loss_G: 0.015309 Loss_D_real: -0.015273 Loss_D_fake 0.015311
[334/5000][140/535][34168] Loss_D: -0.031138 Loss_G: 0.028102 Loss_D_real: -0.029312 Loss_D_fake 0.001826
[334/5000][145/535][34169] Loss_D: -0.030964 Loss_G: -0.003237 Loss_D_real: -0.005926 Loss_D_fake 0.025038
[334/5000][150/535][34170] Loss_D: -0.030597 Loss_G: 0.005467 Loss_D_real: -0.017442 Loss_D_fake 0.013155
[334/5000][155/535][34171] Loss_D: -0.032281 Loss_G: 0.022843 Loss_D_real: -0.030571 Loss_D_fake 0.001710
[334/5000][160/535][34172] Loss_D: -0.030759 Loss_G: 0.003076 Loss_D_real: -0.005535 Loss_D_fake 0.025224
[334/5000][165/535][34173] Loss_D: -0.030274 Loss_G: 0.029019 Loss_D_real: -0.030244 Loss_D_fake 0.000030
[334/5000][170/535][34174] Loss_D: -0.032462 Loss_G: 0.008542 Loss_D_real: -0.010213 Loss_D_fake 0.022249
[334/5000][175/535][34175] Loss_D: -0.031019 Loss_G: 0.030831 Loss_D_real: -0.029122 Loss_D_fake 0.001897
[334/5000][180/535][34176] Loss_D: -0.030651 Loss_G: 0.010845 Loss_D_real: -0.016736 Loss_D_fake 0.013915
[334/5000][185/535][34177] Loss_D: -0.031206 Loss_G: 0.028396 Loss_D_real: -0.029507 Loss_D_fake 0.001700
[334/5000][190/535][34178] Loss_D: -0.030613 Loss_G: -0.010318 Loss_D_real: -0.001629 Loss_D_fake 0.028984
[334/5000][195/535][34179] Loss_D: -0.031094 Loss_G: 0.023838 Loss_D_real: -0.020576 Loss_D_fake 0.010519
[334/5000][200/535][34180] Loss_D: -0.030896 Loss_G: -0.002112 Loss_D_real: -0.008925 Loss_D_fake 0.021971
[334/5000][205/535][34181] Loss_D: -0.031641 Loss_G: 0.026752 Loss_D_real: -0.023948 Loss_D_fake 0.007693
[334/5000][210/535][34182] Loss_D: -0.029330 Loss_G: -0.021286 Loss_D_real: 0.007510 Loss_D_fake 0.036840
[334/5000][215/535][34183] Loss_D: -0.028006 Loss_G: 0.029202 Loss_D_real: -0.032973 Loss_D_fake -0.004967
[334/5000][220/535][34184] Loss_D: -0.032653 Loss_G: 0.007797 Loss_D_real: -0.017412 Loss_D_fake 0.015241
[334/5000][225/535][34185] Loss_D: -0.030495 Loss_G: 0.015039 Loss_D_real: -0.018664 Loss_D_fake 0.011831
[334/5000][230/535][34186] Loss_D: -0.031975 Loss_G: 0.038365 Loss_D_real: -0.031140 Loss_D_fake 0.000835
[334/5000][235/535][34187] Loss_D: -0.030592 Loss_G: 0.018125 Loss_D_real: -0.019501 Loss_D_fake 0.011091
[334/5000][240/535][34188] Loss_D: -0.030746 Loss_G: 0.029818 Loss_D_real: -0.030617 Loss_D_fake 0.000129
[334/5000][245/535][34189] Loss_D: -0.033686 Loss_G: 0.022401 Loss_D_real: -0.028978 Loss_D_fake 0.004708
[334/5000][250/535][34190] Loss_D: -0.031531 Loss_G: 0.040119 Loss_D_real: -0.041504 Loss_D_fake -0.009973
[334/5000][255/535][34191] Loss_D: -0.029311 Loss_G: -0.014000 Loss_D_real: -0.006415 Loss_D_fake 0.022896
[334/5000][260/535][34192] Loss_D: -0.029371 Loss_G: 0.024954 Loss_D_real: -0.030318 Loss_D_fake -0.000947
[334/5000][265/535][34193] Loss_D: -0.030199 Loss_G: 0.006215 Loss_D_real: -0.011233 Loss_D_fake 0.018965
[334/5000][270/535][34194] Loss_D: -0.029557 Loss_G: -0.001026 Loss_D_real: -0.018543 Loss_D_fake 0.011014
[334/5000][275/535][34195] Loss_D: -0.029600 Loss_G: 0.042913 Loss_D_real: -0.035554 Loss_D_fake -0.005954
[334/5000][280/535][34196] Loss_D: -0.030917 Loss_G: -0.008050 Loss_D_real: 0.002702 Loss_D_fake 0.033619
[334/5000][285/535][34197] Loss_D: -0.030400 Loss_G: 0.023822 Loss_D_real: -0.027441 Loss_D_fake 0.002959
[334/5000][290/535][34198] Loss_D: -0.031865 Loss_G: 0.026377 Loss_D_real: -0.014026 Loss_D_fake 0.017839
[334/5000][295/535][34199] Loss_D: -0.032127 Loss_G: 0.024405 Loss_D_real: -0.030445 Loss_D_fake 0.001682
[334/5000][300/535][34200] Loss_D: -0.032020 Loss_G: 0.021608 Loss_D_real: -0.031770 Loss_D_fake 0.000250
[334/5000][305/535][34201] Loss_D: -0.031470 Loss_G: 0.016352 Loss_D_real: -0.020320 Loss_D_fake 0.011150
[334/5000][310/535][34202] Loss_D: -0.030918 Loss_G: -0.009692 Loss_D_real: -0.007329 Loss_D_fake 0.023588
[334/5000][315/535][34203] Loss_D: -0.030350 Loss_G: -0.011392 Loss_D_real: -0.005323 Loss_D_fake 0.025027
[334/5000][320/535][34204] Loss_D: -0.029701 Loss_G: 0.033714 Loss_D_real: -0.033015 Loss_D_fake -0.003314
[334/5000][325/535][34205] Loss_D: -0.029867 Loss_G: 0.041120 Loss_D_real: -0.034491 Loss_D_fake -0.004624
[334/5000][330/535][34206] Loss_D: -0.031382 Loss_G: 0.017962 Loss_D_real: -0.018102 Loss_D_fake 0.013280
[334/5000][335/535][34207] Loss_D: -0.031476 Loss_G: 0.007081 Loss_D_real: -0.004377 Loss_D_fake 0.027100
[334/5000][340/535][34208] Loss_D: -0.030968 Loss_G: -0.001469 Loss_D_real: -0.003564 Loss_D_fake 0.027404
[334/5000][345/535][34209] Loss_D: -0.029712 Loss_G: 0.028663 Loss_D_real: -0.032315 Loss_D_fake -0.002603
[334/5000][350/535][34210] Loss_D: -0.032274 Loss_G: 0.025697 Loss_D_real: -0.017800 Loss_D_fake 0.014474
[334/5000][355/535][34211] Loss_D: -0.032142 Loss_G: -0.008481 Loss_D_real: -0.008730 Loss_D_fake 0.023413
[334/5000][360/535][34212] Loss_D: -0.031161 Loss_G: 0.025883 Loss_D_real: -0.019858 Loss_D_fake 0.011303
[334/5000][365/535][34213] Loss_D: -0.031934 Loss_G: 0.020206 Loss_D_real: -0.025025 Loss_D_fake 0.006908
[334/5000][370/535][34214] Loss_D: -0.029885 Loss_G: 0.024626 Loss_D_real: -0.027379 Loss_D_fake 0.002506
[334/5000][375/535][34215] Loss_D: -0.029716 Loss_G: 0.032600 Loss_D_real: -0.037060 Loss_D_fake -0.007344
[334/5000][380/535][34216] Loss_D: -0.032317 Loss_G: 0.018284 Loss_D_real: -0.010138 Loss_D_fake 0.022178
[334/5000][385/535][34217] Loss_D: -0.030965 Loss_G: 0.004946 Loss_D_real: -0.010904 Loss_D_fake 0.020061
[334/5000][390/535][34218] Loss_D: -0.029710 Loss_G: 0.014338 Loss_D_real: -0.015127 Loss_D_fake 0.014582
[334/5000][395/535][34219] Loss_D: -0.030686 Loss_G: 0.012239 Loss_D_real: -0.014167 Loss_D_fake 0.016519
[334/5000][400/535][34220] Loss_D: -0.032363 Loss_G: 0.013511 Loss_D_real: -0.015663 Loss_D_fake 0.016700
[334/5000][405/535][34221] Loss_D: -0.029935 Loss_G: 0.002395 Loss_D_real: -0.012115 Loss_D_fake 0.017819
[334/5000][410/535][34222] Loss_D: -0.030818 Loss_G: 0.026272 Loss_D_real: -0.028510 Loss_D_fake 0.002308
[334/5000][415/535][34223] Loss_D: -0.031656 Loss_G: 0.021726 Loss_D_real: -0.025752 Loss_D_fake 0.005904
[334/5000][420/535][34224] Loss_D: -0.031369 Loss_G: 0.000659 Loss_D_real: -0.002472 Loss_D_fake 0.028897
[334/5000][425/535][34225] Loss_D: -0.030582 Loss_G: 0.035157 Loss_D_real: -0.031505 Loss_D_fake -0.000924
[334/5000][430/535][34226] Loss_D: -0.029238 Loss_G: -0.022347 Loss_D_real: 0.002884 Loss_D_fake 0.032122
[334/5000][435/535][34227] Loss_D: -0.029524 Loss_G: 0.017854 Loss_D_real: -0.019648 Loss_D_fake 0.009876
[334/5000][440/535][34228] Loss_D: -0.031308 Loss_G: -0.004343 Loss_D_real: -0.011087 Loss_D_fake 0.020221
[334/5000][445/535][34229] Loss_D: -0.029809 Loss_G: 0.010341 Loss_D_real: -0.011575 Loss_D_fake 0.018235
[334/5000][450/535][34230] Loss_D: -0.030571 Loss_G: 0.029390 Loss_D_real: -0.033454 Loss_D_fake -0.002883
[334/5000][455/535][34231] Loss_D: -0.030554 Loss_G: 0.013327 Loss_D_real: -0.009801 Loss_D_fake 0.020754
[334/5000][460/535][34232] Loss_D: -0.029970 Loss_G: 0.004478 Loss_D_real: -0.016373 Loss_D_fake 0.013598
[334/5000][465/535][34233] Loss_D: -0.030977 Loss_G: 0.013258 Loss_D_real: -0.022909 Loss_D_fake 0.008068
[334/5000][470/535][34234] Loss_D: -0.030696 Loss_G: 0.027263 Loss_D_real: -0.019280 Loss_D_fake 0.011416
[334/5000][475/535][34235] Loss_D: -0.030625 Loss_G: -0.008552 Loss_D_real: -0.005991 Loss_D_fake 0.024634
[334/5000][480/535][34236] Loss_D: -0.029987 Loss_G: 0.026697 Loss_D_real: -0.028130 Loss_D_fake 0.001857
[334/5000][485/535][34237] Loss_D: -0.030744 Loss_G: 0.005495 Loss_D_real: -0.012176 Loss_D_fake 0.018568
[334/5000][490/535][34238] Loss_D: -0.030984 Loss_G: 0.012472 Loss_D_real: -0.010804 Loss_D_fake 0.020180
[334/5000][495/535][34239] Loss_D: -0.031667 Loss_G: 0.016360 Loss_D_real: -0.025525 Loss_D_fake 0.006142
[334/5000][500/535][34240] Loss_D: -0.028194 Loss_G: 0.049950 Loss_D_real: -0.045966 Loss_D_fake -0.017772
[334/5000][505/535][34241] Loss_D: -0.030361 Loss_G: 0.009999 Loss_D_real: -0.013225 Loss_D_fake 0.017137
[334/5000][510/535][34242] Loss_D: -0.030693 Loss_G: 0.012990 Loss_D_real: -0.019369 Loss_D_fake 0.011324
[334/5000][515/535][34243] Loss_D: -0.031002 Loss_G: 0.032779 Loss_D_real: -0.023768 Loss_D_fake 0.007234
[334/5000][520/535][34244] Loss_D: -0.032057 Loss_G: 0.019644 Loss_D_real: -0.015872 Loss_D_fake 0.016185
[334/5000][525/535][34245] Loss_D: -0.031726 Loss_G: 0.018818 Loss_D_real: -0.022016 Loss_D_fake 0.009710
[334/5000][530/535][34246] Loss_D: -0.031531 Loss_G: 0.035500 Loss_D_real: -0.030669 Loss_D_fake 0.000862
[334/5000][535/535][34247] Loss_D: -0.032886 Loss_G: -0.016089 Loss_D_real: -0.005333 Loss_D_fake 0.027553
[335/5000][5/535][34248] Loss_D: -0.029069 Loss_G: 0.037234 Loss_D_real: -0.031006 Loss_D_fake -0.001938
[335/5000][10/535][34249] Loss_D: -0.029366 Loss_G: -0.003554 Loss_D_real: -0.004698 Loss_D_fake 0.024668
[335/5000][15/535][34250] Loss_D: -0.029967 Loss_G: 0.023457 Loss_D_real: -0.027118 Loss_D_fake 0.002849
[335/5000][20/535][34251] Loss_D: -0.029000 Loss_G: 0.014170 Loss_D_real: -0.018455 Loss_D_fake 0.010545
[335/5000][25/535][34252] Loss_D: -0.031380 Loss_G: 0.018209 Loss_D_real: -0.012298 Loss_D_fake 0.019082
[335/5000][30/535][34253] Loss_D: -0.031690 Loss_G: 0.022553 Loss_D_real: -0.025586 Loss_D_fake 0.006104
[335/5000][35/535][34254] Loss_D: -0.031064 Loss_G: 0.030346 Loss_D_real: -0.032017 Loss_D_fake -0.000953
[335/5000][40/535][34255] Loss_D: -0.030190 Loss_G: 0.034770 Loss_D_real: -0.039355 Loss_D_fake -0.009165
[335/5000][45/535][34256] Loss_D: -0.031180 Loss_G: 0.012599 Loss_D_real: -0.022356 Loss_D_fake 0.008824
[335/5000][50/535][34257] Loss_D: -0.030296 Loss_G: 0.007325 Loss_D_real: -0.006217 Loss_D_fake 0.024079
[335/5000][55/535][34258] Loss_D: -0.028934 Loss_G: 0.004208 Loss_D_real: -0.018510 Loss_D_fake 0.010424
[335/5000][60/535][34259] Loss_D: -0.032066 Loss_G: 0.014253 Loss_D_real: -0.015261 Loss_D_fake 0.016804
[335/5000][65/535][34260] Loss_D: -0.030271 Loss_G: 0.023951 Loss_D_real: -0.019826 Loss_D_fake 0.010445
[335/5000][70/535][34261] Loss_D: -0.031255 Loss_G: -0.002695 Loss_D_real: -0.008625 Loss_D_fake 0.022630
[335/5000][75/535][34262] Loss_D: -0.029876 Loss_G: 0.016181 Loss_D_real: -0.020351 Loss_D_fake 0.009525
[335/5000][80/535][34263] Loss_D: -0.030809 Loss_G: 0.025046 Loss_D_real: -0.026280 Loss_D_fake 0.004529
[335/5000][85/535][34264] Loss_D: -0.029787 Loss_G: 0.013653 Loss_D_real: -0.015268 Loss_D_fake 0.014518
[335/5000][90/535][34265] Loss_D: -0.029724 Loss_G: 0.039010 Loss_D_real: -0.038017 Loss_D_fake -0.008294
[335/5000][95/535][34266] Loss_D: -0.031048 Loss_G: -0.003954 Loss_D_real: -0.002082 Loss_D_fake 0.028967
[335/5000][100/535][34267] Loss_D: -0.029702 Loss_G: 0.020394 Loss_D_real: -0.032256 Loss_D_fake -0.002554
[335/5000][105/535][34268] Loss_D: -0.031538 Loss_G: 0.031533 Loss_D_real: -0.031661 Loss_D_fake -0.000124
[335/5000][110/535][34269] Loss_D: -0.030884 Loss_G: 0.010218 Loss_D_real: -0.012250 Loss_D_fake 0.018634
[335/5000][115/535][34270] Loss_D: -0.030517 Loss_G: 0.016442 Loss_D_real: -0.016505 Loss_D_fake 0.014013
[335/5000][120/535][34271] Loss_D: -0.029902 Loss_G: 0.023686 Loss_D_real: -0.026914 Loss_D_fake 0.002987
[335/5000][125/535][34272] Loss_D: -0.030830 Loss_G: 0.015944 Loss_D_real: -0.014932 Loss_D_fake 0.015899
[335/5000][130/535][34273] Loss_D: -0.029975 Loss_G: 0.025173 Loss_D_real: -0.028514 Loss_D_fake 0.001461
[335/5000][135/535][34274] Loss_D: -0.030232 Loss_G: -0.006637 Loss_D_real: -0.007511 Loss_D_fake 0.022721
[335/5000][140/535][34275] Loss_D: -0.030296 Loss_G: 0.013898 Loss_D_real: -0.017105 Loss_D_fake 0.013191
[335/5000][145/535][34276] Loss_D: -0.031593 Loss_G: 0.024355 Loss_D_real: -0.022029 Loss_D_fake 0.009564
[335/5000][150/535][34277] Loss_D: -0.032348 Loss_G: 0.001475 Loss_D_real: -0.008993 Loss_D_fake 0.023356
[335/5000][155/535][34278] Loss_D: -0.030711 Loss_G: 0.015806 Loss_D_real: -0.028867 Loss_D_fake 0.001844
[335/5000][160/535][34279] Loss_D: -0.032225 Loss_G: 0.024322 Loss_D_real: -0.020812 Loss_D_fake 0.011413
[335/5000][165/535][34280] Loss_D: -0.032535 Loss_G: 0.015506 Loss_D_real: -0.013366 Loss_D_fake 0.019169
[335/5000][170/535][34281] Loss_D: -0.031048 Loss_G: 0.011671 Loss_D_real: -0.014702 Loss_D_fake 0.016346
[335/5000][175/535][34282] Loss_D: -0.031299 Loss_G: 0.031888 Loss_D_real: -0.031343 Loss_D_fake -0.000044
[335/5000][180/535][34283] Loss_D: -0.032602 Loss_G: 0.026375 Loss_D_real: -0.020921 Loss_D_fake 0.011682
[335/5000][185/535][34284] Loss_D: -0.031218 Loss_G: 0.007412 Loss_D_real: -0.013075 Loss_D_fake 0.018143
[335/5000][190/535][34285] Loss_D: -0.030818 Loss_G: -0.002062 Loss_D_real: -0.012991 Loss_D_fake 0.017828
[335/5000][195/535][34286] Loss_D: -0.030863 Loss_G: 0.025337 Loss_D_real: -0.018129 Loss_D_fake 0.012735
[335/5000][200/535][34287] Loss_D: -0.029548 Loss_G: -0.020480 Loss_D_real: 0.012839 Loss_D_fake 0.042388
[335/5000][205/535][34288] Loss_D: -0.029405 Loss_G: 0.014626 Loss_D_real: -0.019786 Loss_D_fake 0.009619
[335/5000][210/535][34289] Loss_D: -0.030173 Loss_G: 0.038174 Loss_D_real: -0.031795 Loss_D_fake -0.001621
[335/5000][215/535][34290] Loss_D: -0.029947 Loss_G: 0.007309 Loss_D_real: -0.020672 Loss_D_fake 0.009275
[335/5000][220/535][34291] Loss_D: -0.032481 Loss_G: 0.021398 Loss_D_real: -0.017286 Loss_D_fake 0.015194
[335/5000][225/535][34292] Loss_D: -0.033116 Loss_G: 0.016880 Loss_D_real: -0.023381 Loss_D_fake 0.009735
[335/5000][230/535][34293] Loss_D: -0.030502 Loss_G: 0.035339 Loss_D_real: -0.032429 Loss_D_fake -0.001927
[335/5000][235/535][34294] Loss_D: -0.030666 Loss_G: 0.030678 Loss_D_real: -0.022834 Loss_D_fake 0.007832
[335/5000][240/535][34295] Loss_D: -0.030062 Loss_G: 0.009656 Loss_D_real: -0.019629 Loss_D_fake 0.010433
[335/5000][245/535][34296] Loss_D: -0.028434 Loss_G: 0.050020 Loss_D_real: -0.046919 Loss_D_fake -0.018485
[335/5000][250/535][34297] Loss_D: -0.031035 Loss_G: -0.009854 Loss_D_real: -0.004969 Loss_D_fake 0.026066
[335/5000][255/535][34298] Loss_D: -0.029338 Loss_G: 0.033755 Loss_D_real: -0.034159 Loss_D_fake -0.004821
[335/5000][260/535][34299] Loss_D: -0.032728 Loss_G: 0.015861 Loss_D_real: -0.024750 Loss_D_fake 0.007979
[335/5000][265/535][34300] Loss_D: -0.031804 Loss_G: 0.031186 Loss_D_real: -0.027845 Loss_D_fake 0.003959
[335/5000][270/535][34301] Loss_D: -0.031730 Loss_G: 0.015279 Loss_D_real: -0.016191 Loss_D_fake 0.015539
[335/5000][275/535][34302] Loss_D: -0.030880 Loss_G: -0.001172 Loss_D_real: -0.005580 Loss_D_fake 0.025299
[335/5000][280/535][34303] Loss_D: -0.031352 Loss_G: 0.014346 Loss_D_real: -0.021395 Loss_D_fake 0.009957
[335/5000][285/535][34304] Loss_D: -0.030639 Loss_G: 0.023938 Loss_D_real: -0.030274 Loss_D_fake 0.000364
[335/5000][290/535][34305] Loss_D: -0.031108 Loss_G: 0.034197 Loss_D_real: -0.029858 Loss_D_fake 0.001250
[335/5000][295/535][34306] Loss_D: -0.030629 Loss_G: 0.034487 Loss_D_real: -0.034715 Loss_D_fake -0.004086
[335/5000][300/535][34307] Loss_D: -0.031758 Loss_G: -0.001858 Loss_D_real: -0.009779 Loss_D_fake 0.021979
[335/5000][305/535][34308] Loss_D: -0.029017 Loss_G: 0.025855 Loss_D_real: -0.027181 Loss_D_fake 0.001836
[335/5000][310/535][34309] Loss_D: -0.030948 Loss_G: 0.005650 Loss_D_real: -0.008949 Loss_D_fake 0.021999
[335/5000][315/535][34310] Loss_D: -0.029993 Loss_G: 0.033609 Loss_D_real: -0.036165 Loss_D_fake -0.006172
[335/5000][320/535][34311] Loss_D: -0.030632 Loss_G: 0.009603 Loss_D_real: -0.011661 Loss_D_fake 0.018971
[335/5000][325/535][34312] Loss_D: -0.032499 Loss_G: 0.005317 Loss_D_real: -0.013380 Loss_D_fake 0.019119
[335/5000][330/535][34313] Loss_D: -0.030622 Loss_G: 0.029347 Loss_D_real: -0.026101 Loss_D_fake 0.004521
[335/5000][335/535][34314] Loss_D: -0.030689 Loss_G: 0.011681 Loss_D_real: -0.012027 Loss_D_fake 0.018662
[335/5000][340/535][34315] Loss_D: -0.029704 Loss_G: 0.025031 Loss_D_real: -0.029024 Loss_D_fake 0.000681
[335/5000][345/535][34316] Loss_D: -0.030774 Loss_G: -0.006446 Loss_D_real: 0.002561 Loss_D_fake 0.033336
[335/5000][350/535][34317] Loss_D: -0.029850 Loss_G: 0.016619 Loss_D_real: -0.024858 Loss_D_fake 0.004992
[335/5000][355/535][34318] Loss_D: -0.030883 Loss_G: 0.028000 Loss_D_real: -0.032008 Loss_D_fake -0.001125
[335/5000][360/535][34319] Loss_D: -0.031053 Loss_G: -0.004708 Loss_D_real: 0.000643 Loss_D_fake 0.031697
[335/5000][365/535][34320] Loss_D: -0.028229 Loss_G: 0.017492 Loss_D_real: -0.027590 Loss_D_fake 0.000639
[335/5000][370/535][34321] Loss_D: -0.031014 Loss_G: 0.020155 Loss_D_real: -0.014046 Loss_D_fake 0.016968
[335/5000][375/535][34322] Loss_D: -0.030491 Loss_G: 0.011354 Loss_D_real: -0.010956 Loss_D_fake 0.019535
[335/5000][380/535][34323] Loss_D: -0.029914 Loss_G: 0.029030 Loss_D_real: -0.030963 Loss_D_fake -0.001049
[335/5000][385/535][34324] Loss_D: -0.030538 Loss_G: 0.022439 Loss_D_real: -0.029011 Loss_D_fake 0.001527
[335/5000][390/535][34325] Loss_D: -0.030564 Loss_G: 0.027488 Loss_D_real: -0.021898 Loss_D_fake 0.008667
[335/5000][395/535][34326] Loss_D: -0.031469 Loss_G: 0.006013 Loss_D_real: -0.009567 Loss_D_fake 0.021902
[335/5000][400/535][34327] Loss_D: -0.031823 Loss_G: 0.020508 Loss_D_real: -0.018849 Loss_D_fake 0.012974
[335/5000][405/535][34328] Loss_D: -0.031127 Loss_G: -0.001818 Loss_D_real: -0.009585 Loss_D_fake 0.021542
[335/5000][410/535][34329] Loss_D: -0.029823 Loss_G: 0.017658 Loss_D_real: -0.016141 Loss_D_fake 0.013682
[335/5000][415/535][34330] Loss_D: -0.030313 Loss_G: -0.003349 Loss_D_real: -0.015675 Loss_D_fake 0.014638
[335/5000][420/535][34331] Loss_D: -0.029872 Loss_G: 0.029988 Loss_D_real: -0.034733 Loss_D_fake -0.004861
[335/5000][425/535][34332] Loss_D: -0.030679 Loss_G: 0.019382 Loss_D_real: -0.018259 Loss_D_fake 0.012420
[335/5000][430/535][34333] Loss_D: -0.030990 Loss_G: 0.018263 Loss_D_real: -0.015020 Loss_D_fake 0.015970
[335/5000][435/535][34334] Loss_D: -0.031585 Loss_G: 0.017052 Loss_D_real: -0.017921 Loss_D_fake 0.013664
[335/5000][440/535][34335] Loss_D: -0.032109 Loss_G: 0.018222 Loss_D_real: -0.023777 Loss_D_fake 0.008332
[335/5000][445/535][34336] Loss_D: -0.031648 Loss_G: 0.020291 Loss_D_real: -0.027402 Loss_D_fake 0.004246
[335/5000][450/535][34337] Loss_D: -0.029718 Loss_G: 0.043179 Loss_D_real: -0.035097 Loss_D_fake -0.005379
[335/5000][455/535][34338] Loss_D: -0.030107 Loss_G: 0.024998 Loss_D_real: -0.027639 Loss_D_fake 0.002468
[335/5000][460/535][34339] Loss_D: -0.029348 Loss_G: 0.028043 Loss_D_real: -0.030042 Loss_D_fake -0.000694
[335/5000][465/535][34340] Loss_D: -0.030336 Loss_G: 0.001092 Loss_D_real: -0.009463 Loss_D_fake 0.020873
[335/5000][470/535][34341] Loss_D: -0.030276 Loss_G: 0.018739 Loss_D_real: -0.027815 Loss_D_fake 0.002461
[335/5000][475/535][34342] Loss_D: -0.030966 Loss_G: 0.018264 Loss_D_real: -0.023191 Loss_D_fake 0.007775
[335/5000][480/535][34343] Loss_D: -0.030630 Loss_G: 0.033292 Loss_D_real: -0.035736 Loss_D_fake -0.005106
[335/5000][485/535][34344] Loss_D: -0.030754 Loss_G: 0.012593 Loss_D_real: -0.023817 Loss_D_fake 0.006936
[335/5000][490/535][34345] Loss_D: -0.030413 Loss_G: 0.029166 Loss_D_real: -0.027867 Loss_D_fake 0.002546
[335/5000][495/535][34346] Loss_D: -0.029472 Loss_G: -0.002945 Loss_D_real: 0.000532 Loss_D_fake 0.030004
[335/5000][500/535][34347] Loss_D: -0.030635 Loss_G: 0.025325 Loss_D_real: -0.031100 Loss_D_fake -0.000465
[335/5000][505/535][34348] Loss_D: -0.031307 Loss_G: 0.017999 Loss_D_real: -0.021224 Loss_D_fake 0.010083
[335/5000][510/535][34349] Loss_D: -0.029548 Loss_G: 0.026357 Loss_D_real: -0.030848 Loss_D_fake -0.001300
[335/5000][515/535][34350] Loss_D: -0.030218 Loss_G: 0.011110 Loss_D_real: -0.015679 Loss_D_fake 0.014539
[335/5000][520/535][34351] Loss_D: -0.029762 Loss_G: 0.025088 Loss_D_real: -0.030523 Loss_D_fake -0.000761
[335/5000][525/535][34352] Loss_D: -0.030102 Loss_G: 0.031896 Loss_D_real: -0.030872 Loss_D_fake -0.000770
[335/5000][530/535][34353] Loss_D: -0.030948 Loss_G: 0.022765 Loss_D_real: -0.021790 Loss_D_fake 0.009158
[335/5000][535/535][34354] Loss_D: -0.032160 Loss_G: 0.001319 Loss_D_real: -0.016253 Loss_D_fake 0.015907
[336/5000][5/535][34355] Loss_D: -0.029898 Loss_G: 0.030107 Loss_D_real: -0.021822 Loss_D_fake 0.008077
[336/5000][10/535][34356] Loss_D: -0.029303 Loss_G: 0.018642 Loss_D_real: -0.017001 Loss_D_fake 0.012302
[336/5000][15/535][34357] Loss_D: -0.030230 Loss_G: 0.026543 Loss_D_real: -0.028611 Loss_D_fake 0.001620
[336/5000][20/535][34358] Loss_D: -0.030842 Loss_G: 0.013380 Loss_D_real: -0.018754 Loss_D_fake 0.012088
[336/5000][25/535][34359] Loss_D: -0.031707 Loss_G: 0.008983 Loss_D_real: -0.018094 Loss_D_fake 0.013614
[336/5000][30/535][34360] Loss_D: -0.031182 Loss_G: 0.011917 Loss_D_real: -0.018023 Loss_D_fake 0.013159
[336/5000][35/535][34361] Loss_D: -0.032263 Loss_G: 0.006949 Loss_D_real: -0.012367 Loss_D_fake 0.019896
[336/5000][40/535][34362] Loss_D: -0.031673 Loss_G: 0.021421 Loss_D_real: -0.017552 Loss_D_fake 0.014120
[336/5000][45/535][34363] Loss_D: -0.028694 Loss_G: 0.018620 Loss_D_real: -0.019923 Loss_D_fake 0.008771
[336/5000][50/535][34364] Loss_D: -0.031020 Loss_G: 0.006955 Loss_D_real: -0.008173 Loss_D_fake 0.022847
[336/5000][55/535][34365] Loss_D: -0.027436 Loss_G: 0.043647 Loss_D_real: -0.040599 Loss_D_fake -0.013163
[336/5000][60/535][34366] Loss_D: -0.030631 Loss_G: -0.021001 Loss_D_real: 0.004258 Loss_D_fake 0.034889
[336/5000][65/535][34367] Loss_D: -0.030123 Loss_G: 0.017012 Loss_D_real: -0.028534 Loss_D_fake 0.001589
[336/5000][70/535][34368] Loss_D: -0.029335 Loss_G: 0.032482 Loss_D_real: -0.026554 Loss_D_fake 0.002781
[336/5000][75/535][34369] Loss_D: -0.030283 Loss_G: 0.034682 Loss_D_real: -0.033994 Loss_D_fake -0.003711
[336/5000][80/535][34370] Loss_D: -0.029715 Loss_G: 0.010055 Loss_D_real: -0.015518 Loss_D_fake 0.014197
[336/5000][85/535][34371] Loss_D: -0.031428 Loss_G: 0.017953 Loss_D_real: -0.019531 Loss_D_fake 0.011897
[336/5000][90/535][34372] Loss_D: -0.028745 Loss_G: 0.024822 Loss_D_real: -0.024821 Loss_D_fake 0.003924
[336/5000][95/535][34373] Loss_D: -0.030104 Loss_G: 0.038046 Loss_D_real: -0.023465 Loss_D_fake 0.006640
[336/5000][100/535][34374] Loss_D: -0.031652 Loss_G: 0.016815 Loss_D_real: -0.028148 Loss_D_fake 0.003503
[336/5000][105/535][34375] Loss_D: -0.031535 Loss_G: 0.031006 Loss_D_real: -0.028181 Loss_D_fake 0.003354
[336/5000][110/535][34376] Loss_D: -0.032420 Loss_G: -0.002961 Loss_D_real: -0.015582 Loss_D_fake 0.016838
[336/5000][115/535][34377] Loss_D: -0.030482 Loss_G: 0.018954 Loss_D_real: -0.024996 Loss_D_fake 0.005486
[336/5000][120/535][34378] Loss_D: -0.030809 Loss_G: 0.000960 Loss_D_real: -0.017622 Loss_D_fake 0.013187
[336/5000][125/535][34379] Loss_D: -0.031112 Loss_G: 0.032622 Loss_D_real: -0.029542 Loss_D_fake 0.001570
[336/5000][130/535][34380] Loss_D: -0.032213 Loss_G: 0.023369 Loss_D_real: -0.015019 Loss_D_fake 0.017195
[336/5000][135/535][34381] Loss_D: -0.031476 Loss_G: -0.002450 Loss_D_real: -0.009315 Loss_D_fake 0.022161
[336/5000][140/535][34382] Loss_D: -0.029164 Loss_G: 0.028715 Loss_D_real: -0.036859 Loss_D_fake -0.007695
[336/5000][145/535][34383] Loss_D: -0.031439 Loss_G: 0.010123 Loss_D_real: -0.010800 Loss_D_fake 0.020639
[336/5000][150/535][34384] Loss_D: -0.031197 Loss_G: 0.021048 Loss_D_real: -0.028621 Loss_D_fake 0.002576
[336/5000][155/535][34385] Loss_D: -0.029919 Loss_G: 0.033259 Loss_D_real: -0.032242 Loss_D_fake -0.002323
[336/5000][160/535][34386] Loss_D: -0.028230 Loss_G: 0.037444 Loss_D_real: -0.031164 Loss_D_fake -0.002933
[336/5000][165/535][34387] Loss_D: -0.029037 Loss_G: -0.006230 Loss_D_real: 0.000440 Loss_D_fake 0.029477
[336/5000][170/535][34388] Loss_D: -0.030174 Loss_G: 0.019535 Loss_D_real: -0.017731 Loss_D_fake 0.012443
[336/5000][175/535][34389] Loss_D: -0.032140 Loss_G: 0.006035 Loss_D_real: -0.018212 Loss_D_fake 0.013928
[336/5000][180/535][34390] Loss_D: -0.029440 Loss_G: 0.035460 Loss_D_real: -0.028162 Loss_D_fake 0.001278
[336/5000][185/535][34391] Loss_D: -0.031255 Loss_G: -0.003771 Loss_D_real: -0.010116 Loss_D_fake 0.021139
[336/5000][190/535][34392] Loss_D: -0.031542 Loss_G: 0.025200 Loss_D_real: -0.022986 Loss_D_fake 0.008556
[336/5000][195/535][34393] Loss_D: -0.031258 Loss_G: 0.009469 Loss_D_real: -0.012031 Loss_D_fake 0.019226
[336/5000][200/535][34394] Loss_D: -0.031863 Loss_G: 0.026688 Loss_D_real: -0.030106 Loss_D_fake 0.001757
[336/5000][205/535][34395] Loss_D: -0.031659 Loss_G: -0.001748 Loss_D_real: -0.011537 Loss_D_fake 0.020122
[336/5000][210/535][34396] Loss_D: -0.030685 Loss_G: 0.019647 Loss_D_real: -0.022525 Loss_D_fake 0.008159
[336/5000][215/535][34397] Loss_D: -0.032015 Loss_G: 0.007310 Loss_D_real: -0.012921 Loss_D_fake 0.019095
[336/5000][220/535][34398] Loss_D: -0.031362 Loss_G: -0.000510 Loss_D_real: -0.005667 Loss_D_fake 0.025695
[336/5000][225/535][34399] Loss_D: -0.028928 Loss_G: 0.034980 Loss_D_real: -0.036475 Loss_D_fake -0.007547
[336/5000][230/535][34400] Loss_D: -0.030729 Loss_G: 0.012880 Loss_D_real: -0.021299 Loss_D_fake 0.009431
[336/5000][235/535][34401] Loss_D: -0.029969 Loss_G: 0.013648 Loss_D_real: -0.022756 Loss_D_fake 0.007213
[336/5000][240/535][34402] Loss_D: -0.031125 Loss_G: 0.008351 Loss_D_real: -0.020135 Loss_D_fake 0.010991
[336/5000][245/535][34403] Loss_D: -0.032188 Loss_G: 0.031956 Loss_D_real: -0.029478 Loss_D_fake 0.002710
[336/5000][250/535][34404] Loss_D: -0.030902 Loss_G: 0.022960 Loss_D_real: -0.019131 Loss_D_fake 0.011771
[336/5000][255/535][34405] Loss_D: -0.028838 Loss_G: 0.029439 Loss_D_real: -0.035869 Loss_D_fake -0.007032
[336/5000][260/535][34406] Loss_D: -0.030386 Loss_G: 0.002020 Loss_D_real: -0.004739 Loss_D_fake 0.025647
[336/5000][265/535][34407] Loss_D: -0.031006 Loss_G: 0.027343 Loss_D_real: -0.028764 Loss_D_fake 0.002243
[336/5000][270/535][34408] Loss_D: -0.031124 Loss_G: -0.005086 Loss_D_real: -0.006941 Loss_D_fake 0.024183
[336/5000][275/535][34409] Loss_D: -0.030877 Loss_G: 0.015422 Loss_D_real: -0.021620 Loss_D_fake 0.009257
[336/5000][280/535][34410] Loss_D: -0.031629 Loss_G: 0.010671 Loss_D_real: -0.010288 Loss_D_fake 0.021341
[336/5000][285/535][34411] Loss_D: -0.029428 Loss_G: 0.011276 Loss_D_real: -0.022377 Loss_D_fake 0.007051
[336/5000][290/535][34412] Loss_D: -0.030459 Loss_G: 0.033847 Loss_D_real: -0.033563 Loss_D_fake -0.003103
[336/5000][295/535][34413] Loss_D: -0.029553 Loss_G: 0.004696 Loss_D_real: -0.008384 Loss_D_fake 0.021169
[336/5000][300/535][34414] Loss_D: -0.029980 Loss_G: 0.028381 Loss_D_real: -0.024368 Loss_D_fake 0.005612
[336/5000][305/535][34415] Loss_D: -0.031893 Loss_G: 0.019053 Loss_D_real: -0.013583 Loss_D_fake 0.018310
[336/5000][310/535][34416] Loss_D: -0.029641 Loss_G: 0.018918 Loss_D_real: -0.025657 Loss_D_fake 0.003984
[336/5000][315/535][34417] Loss_D: -0.031353 Loss_G: 0.010762 Loss_D_real: -0.020425 Loss_D_fake 0.010929
[336/5000][320/535][34418] Loss_D: -0.031001 Loss_G: 0.013842 Loss_D_real: -0.024503 Loss_D_fake 0.006498
[336/5000][325/535][34419] Loss_D: -0.030322 Loss_G: 0.034942 Loss_D_real: -0.032243 Loss_D_fake -0.001921
[336/5000][330/535][34420] Loss_D: -0.030076 Loss_G: -0.013480 Loss_D_real: 0.000702 Loss_D_fake 0.030778
[336/5000][335/535][34421] Loss_D: -0.030591 Loss_G: 0.013339 Loss_D_real: -0.016961 Loss_D_fake 0.013630
[336/5000][340/535][34422] Loss_D: -0.029451 Loss_G: 0.036888 Loss_D_real: -0.030965 Loss_D_fake -0.001514
[336/5000][345/535][34423] Loss_D: -0.031188 Loss_G: 0.007617 Loss_D_real: -0.013298 Loss_D_fake 0.017890
[336/5000][350/535][34424] Loss_D: -0.030178 Loss_G: 0.035811 Loss_D_real: -0.039123 Loss_D_fake -0.008945
[336/5000][355/535][34425] Loss_D: -0.031360 Loss_G: -0.000466 Loss_D_real: -0.004211 Loss_D_fake 0.027148
[336/5000][360/535][34426] Loss_D: -0.030435 Loss_G: 0.022036 Loss_D_real: -0.025736 Loss_D_fake 0.004700
[336/5000][365/535][34427] Loss_D: -0.030975 Loss_G: 0.031396 Loss_D_real: -0.029592 Loss_D_fake 0.001383
[336/5000][370/535][34428] Loss_D: -0.031111 Loss_G: 0.010376 Loss_D_real: -0.004883 Loss_D_fake 0.026228
[336/5000][375/535][34429] Loss_D: -0.030623 Loss_G: 0.010784 Loss_D_real: -0.020476 Loss_D_fake 0.010147
[336/5000][380/535][34430] Loss_D: -0.030949 Loss_G: 0.023225 Loss_D_real: -0.026139 Loss_D_fake 0.004809
[336/5000][385/535][34431] Loss_D: -0.032365 Loss_G: 0.011193 Loss_D_real: -0.012952 Loss_D_fake 0.019413
[336/5000][390/535][34432] Loss_D: -0.031142 Loss_G: 0.007100 Loss_D_real: -0.019488 Loss_D_fake 0.011653
[336/5000][395/535][34433] Loss_D: -0.030736 Loss_G: 0.028013 Loss_D_real: -0.018992 Loss_D_fake 0.011744
[336/5000][400/535][34434] Loss_D: -0.030066 Loss_G: -0.010907 Loss_D_real: -0.009946 Loss_D_fake 0.020120
[336/5000][405/535][34435] Loss_D: -0.028423 Loss_G: 0.036122 Loss_D_real: -0.035653 Loss_D_fake -0.007229
[336/5000][410/535][34436] Loss_D: -0.031147 Loss_G: 0.012482 Loss_D_real: -0.018934 Loss_D_fake 0.012212
[336/5000][415/535][34437] Loss_D: -0.030874 Loss_G: 0.000945 Loss_D_real: -0.013989 Loss_D_fake 0.016885
[336/5000][420/535][34438] Loss_D: -0.030371 Loss_G: 0.016341 Loss_D_real: -0.023825 Loss_D_fake 0.006546
[336/5000][425/535][34439] Loss_D: -0.030889 Loss_G: 0.020709 Loss_D_real: -0.021556 Loss_D_fake 0.009333
[336/5000][430/535][34440] Loss_D: -0.029968 Loss_G: 0.039671 Loss_D_real: -0.036479 Loss_D_fake -0.006511
[336/5000][435/535][34441] Loss_D: -0.030260 Loss_G: 0.011786 Loss_D_real: -0.009407 Loss_D_fake 0.020853
[336/5000][440/535][34442] Loss_D: -0.030323 Loss_G: 0.019647 Loss_D_real: -0.023204 Loss_D_fake 0.007119
[336/5000][445/535][34443] Loss_D: -0.030153 Loss_G: 0.030227 Loss_D_real: -0.026892 Loss_D_fake 0.003261
[336/5000][450/535][34444] Loss_D: -0.029987 Loss_G: -0.006270 Loss_D_real: -0.005349 Loss_D_fake 0.024638
[336/5000][455/535][34445] Loss_D: -0.029784 Loss_G: 0.027422 Loss_D_real: -0.018618 Loss_D_fake 0.011167
[336/5000][460/535][34446] Loss_D: -0.030135 Loss_G: 0.004918 Loss_D_real: -0.003922 Loss_D_fake 0.026213
[336/5000][465/535][34447] Loss_D: -0.030064 Loss_G: 0.003804 Loss_D_real: -0.008575 Loss_D_fake 0.021489
[336/5000][470/535][34448] Loss_D: -0.029709 Loss_G: -0.003559 Loss_D_real: -0.003441 Loss_D_fake 0.026268
[336/5000][475/535][34449] Loss_D: -0.031411 Loss_G: 0.036680 Loss_D_real: -0.029068 Loss_D_fake 0.002343
[336/5000][480/535][34450] Loss_D: -0.032131 Loss_G: -0.003082 Loss_D_real: -0.006569 Loss_D_fake 0.025562
[336/5000][485/535][34451] Loss_D: -0.030567 Loss_G: 0.027426 Loss_D_real: -0.027076 Loss_D_fake 0.003491
[336/5000][490/535][34452] Loss_D: -0.029716 Loss_G: 0.026986 Loss_D_real: -0.022928 Loss_D_fake 0.006788
[336/5000][495/535][34453] Loss_D: -0.032891 Loss_G: 0.009217 Loss_D_real: -0.015472 Loss_D_fake 0.017419
[336/5000][500/535][34454] Loss_D: -0.030150 Loss_G: 0.035047 Loss_D_real: -0.026065 Loss_D_fake 0.004084
[336/5000][505/535][34455] Loss_D: -0.031099 Loss_G: 0.024842 Loss_D_real: -0.024762 Loss_D_fake 0.006338
[336/5000][510/535][34456] Loss_D: -0.028790 Loss_G: 0.027714 Loss_D_real: -0.036301 Loss_D_fake -0.007510
[336/5000][515/535][34457] Loss_D: -0.031232 Loss_G: 0.002456 Loss_D_real: -0.006556 Loss_D_fake 0.024676
[336/5000][520/535][34458] Loss_D: -0.030074 Loss_G: 0.017258 Loss_D_real: -0.022633 Loss_D_fake 0.007441
[336/5000][525/535][34459] Loss_D: -0.031419 Loss_G: 0.010510 Loss_D_real: -0.010350 Loss_D_fake 0.021070
[336/5000][530/535][34460] Loss_D: -0.029935 Loss_G: 0.014209 Loss_D_real: -0.014681 Loss_D_fake 0.015254
[336/5000][535/535][34461] Loss_D: -0.028319 Loss_G: -0.007111 Loss_D_real: -0.011949 Loss_D_fake 0.016369
[337/5000][5/535][34462] Loss_D: -0.029070 Loss_G: 0.029323 Loss_D_real: -0.030528 Loss_D_fake -0.001458
[337/5000][10/535][34463] Loss_D: -0.030446 Loss_G: -0.006335 Loss_D_real: -0.005938 Loss_D_fake 0.024508
[337/5000][15/535][34464] Loss_D: -0.030200 Loss_G: 0.023828 Loss_D_real: -0.032366 Loss_D_fake -0.002166
[337/5000][20/535][34465] Loss_D: -0.030926 Loss_G: 0.011472 Loss_D_real: -0.007764 Loss_D_fake 0.023162
[337/5000][25/535][34466] Loss_D: -0.029503 Loss_G: -0.017685 Loss_D_real: 0.004083 Loss_D_fake 0.033586
[337/5000][30/535][34467] Loss_D: -0.029520 Loss_G: 0.035856 Loss_D_real: -0.034938 Loss_D_fake -0.005418
[337/5000][35/535][34468] Loss_D: -0.029835 Loss_G: 0.028241 Loss_D_real: -0.032504 Loss_D_fake -0.002668
[337/5000][40/535][34469] Loss_D: -0.031365 Loss_G: 0.008991 Loss_D_real: -0.016254 Loss_D_fake 0.015111
[337/5000][45/535][34470] Loss_D: -0.030611 Loss_G: 0.010570 Loss_D_real: -0.017605 Loss_D_fake 0.013006
[337/5000][50/535][34471] Loss_D: -0.029970 Loss_G: 0.038775 Loss_D_real: -0.037323 Loss_D_fake -0.007353
[337/5000][55/535][34472] Loss_D: -0.031034 Loss_G: -0.008091 Loss_D_real: -0.002564 Loss_D_fake 0.028470
[337/5000][60/535][34473] Loss_D: -0.031561 Loss_G: 0.001603 Loss_D_real: -0.007819 Loss_D_fake 0.023741
[337/5000][65/535][34474] Loss_D: -0.029606 Loss_G: 0.033226 Loss_D_real: -0.027856 Loss_D_fake 0.001750
[337/5000][70/535][34475] Loss_D: -0.031900 Loss_G: 0.020368 Loss_D_real: -0.022612 Loss_D_fake 0.009288
[337/5000][75/535][34476] Loss_D: -0.031174 Loss_G: -0.004964 Loss_D_real: -0.005975 Loss_D_fake 0.025199
[337/5000][80/535][34477] Loss_D: -0.031032 Loss_G: 0.020045 Loss_D_real: -0.022945 Loss_D_fake 0.008087
[337/5000][85/535][34478] Loss_D: -0.030171 Loss_G: 0.015061 Loss_D_real: -0.015248 Loss_D_fake 0.014922
[337/5000][90/535][34479] Loss_D: -0.030411 Loss_G: 0.040166 Loss_D_real: -0.037216 Loss_D_fake -0.006805
[337/5000][95/535][34480] Loss_D: -0.030904 Loss_G: 0.007294 Loss_D_real: -0.017802 Loss_D_fake 0.013102
[337/5000][100/535][34481] Loss_D: -0.031937 Loss_G: -0.006615 Loss_D_real: -0.010495 Loss_D_fake 0.021442
[337/5000][105/535][34482] Loss_D: -0.031615 Loss_G: 0.016657 Loss_D_real: -0.016850 Loss_D_fake 0.014765
[337/5000][110/535][34483] Loss_D: -0.031941 Loss_G: 0.003077 Loss_D_real: -0.009849 Loss_D_fake 0.022092
[337/5000][115/535][34484] Loss_D: -0.028032 Loss_G: -0.023923 Loss_D_real: 0.005848 Loss_D_fake 0.033880
[337/5000][120/535][34485] Loss_D: -0.029079 Loss_G: 0.008164 Loss_D_real: -0.023494 Loss_D_fake 0.005585
[337/5000][125/535][34486] Loss_D: -0.030439 Loss_G: 0.018763 Loss_D_real: -0.020167 Loss_D_fake 0.010272
[337/5000][130/535][34487] Loss_D: -0.031287 Loss_G: 0.020333 Loss_D_real: -0.010919 Loss_D_fake 0.020368
[337/5000][135/535][34488] Loss_D: -0.031445 Loss_G: -0.002378 Loss_D_real: -0.000049 Loss_D_fake 0.031396
[337/5000][140/535][34489] Loss_D: -0.030597 Loss_G: 0.020135 Loss_D_real: -0.028117 Loss_D_fake 0.002480
[337/5000][145/535][34490] Loss_D: -0.031435 Loss_G: -0.005963 Loss_D_real: 0.000919 Loss_D_fake 0.032355
[337/5000][150/535][34491] Loss_D: -0.030176 Loss_G: 0.025897 Loss_D_real: -0.019162 Loss_D_fake 0.011014
[337/5000][155/535][34492] Loss_D: -0.030489 Loss_G: 0.008314 Loss_D_real: -0.010304 Loss_D_fake 0.020185
[337/5000][160/535][34493] Loss_D: -0.030583 Loss_G: 0.033600 Loss_D_real: -0.027868 Loss_D_fake 0.002715
[337/5000][165/535][34494] Loss_D: -0.030449 Loss_G: 0.014423 Loss_D_real: -0.009069 Loss_D_fake 0.021380
[337/5000][170/535][34495] Loss_D: -0.032010 Loss_G: 0.018719 Loss_D_real: -0.020063 Loss_D_fake 0.011946
[337/5000][175/535][34496] Loss_D: -0.028692 Loss_G: 0.032748 Loss_D_real: -0.032682 Loss_D_fake -0.003990
[337/5000][180/535][34497] Loss_D: -0.031545 Loss_G: 0.007388 Loss_D_real: -0.010566 Loss_D_fake 0.020979
[337/5000][185/535][34498] Loss_D: -0.031069 Loss_G: 0.019179 Loss_D_real: -0.017118 Loss_D_fake 0.013950
[337/5000][190/535][34499] Loss_D: -0.031297 Loss_G: 0.041405 Loss_D_real: -0.027696 Loss_D_fake 0.003601
[337/5000][195/535][34500] Loss_D: -0.031417 Loss_G: 0.010284 Loss_D_real: -0.010561 Loss_D_fake 0.020856
[337/5000][295/535][34501] Loss_D: -0.034449 Loss_G: 0.002308 Loss_D_real: -0.005245 Loss_D_fake 0.029204
[337/5000][300/535][34502] Loss_D: -0.034462 Loss_G: 0.003235 Loss_D_real: -0.006040 Loss_D_fake 0.028422
[337/5000][305/535][34503] Loss_D: -0.027560 Loss_G: 0.016933 Loss_D_real: -0.020404 Loss_D_fake 0.007156
[337/5000][310/535][34504] Loss_D: -0.027985 Loss_G: 0.016860 Loss_D_real: -0.019242 Loss_D_fake 0.008744
[337/5000][315/535][34505] Loss_D: -0.027000 Loss_G: -0.006345 Loss_D_real: -0.003296 Loss_D_fake 0.023704
[337/5000][320/535][34506] Loss_D: -0.027645 Loss_G: 0.015937 Loss_D_real: -0.021715 Loss_D_fake 0.005930
[337/5000][325/535][34507] Loss_D: -0.030303 Loss_G: 0.016017 Loss_D_real: -0.022654 Loss_D_fake 0.007649
[337/5000][330/535][34508] Loss_D: -0.029476 Loss_G: 0.037845 Loss_D_real: -0.029022 Loss_D_fake 0.000455
[337/5000][335/535][34509] Loss_D: -0.030960 Loss_G: 0.017499 Loss_D_real: -0.025844 Loss_D_fake 0.005116
[337/5000][340/535][34510] Loss_D: -0.031849 Loss_G: 0.005394 Loss_D_real: -0.005918 Loss_D_fake 0.025931
[337/5000][345/535][34511] Loss_D: -0.029898 Loss_G: 0.015517 Loss_D_real: -0.016935 Loss_D_fake 0.012962
[337/5000][350/535][34512] Loss_D: -0.029525 Loss_G: 0.018911 Loss_D_real: -0.021395 Loss_D_fake 0.008129
[337/5000][355/535][34513] Loss_D: -0.030305 Loss_G: 0.011411 Loss_D_real: -0.013889 Loss_D_fake 0.016416
[337/5000][360/535][34514] Loss_D: -0.032074 Loss_G: 0.010898 Loss_D_real: -0.024257 Loss_D_fake 0.007817
[337/5000][365/535][34515] Loss_D: -0.031905 Loss_G: 0.021864 Loss_D_real: -0.013424 Loss_D_fake 0.018481
[337/5000][370/535][34516] Loss_D: -0.031333 Loss_G: 0.009722 Loss_D_real: -0.019630 Loss_D_fake 0.011704
[337/5000][375/535][34517] Loss_D: -0.031489 Loss_G: 0.008089 Loss_D_real: -0.009561 Loss_D_fake 0.021928
[337/5000][380/535][34518] Loss_D: -0.030085 Loss_G: 0.025901 Loss_D_real: -0.034249 Loss_D_fake -0.004164
[337/5000][385/535][34519] Loss_D: -0.031102 Loss_G: 0.025950 Loss_D_real: -0.026842 Loss_D_fake 0.004260
[337/5000][390/535][34520] Loss_D: -0.031650 Loss_G: 0.016520 Loss_D_real: -0.025362 Loss_D_fake 0.006288
[337/5000][395/535][34521] Loss_D: -0.029893 Loss_G: 0.017712 Loss_D_real: -0.012858 Loss_D_fake 0.017035
[337/5000][400/535][34522] Loss_D: -0.030662 Loss_G: 0.024375 Loss_D_real: -0.026093 Loss_D_fake 0.004569
[337/5000][405/535][34523] Loss_D: -0.029997 Loss_G: 0.003916 Loss_D_real: -0.004201 Loss_D_fake 0.025796
[337/5000][410/535][34524] Loss_D: -0.030346 Loss_G: 0.011146 Loss_D_real: -0.015303 Loss_D_fake 0.015043
[337/5000][415/535][34525] Loss_D: -0.030987 Loss_G: 0.013523 Loss_D_real: -0.026687 Loss_D_fake 0.004300
[337/5000][420/535][34526] Loss_D: -0.030553 Loss_G: 0.031607 Loss_D_real: -0.022865 Loss_D_fake 0.007688
[337/5000][425/535][34527] Loss_D: -0.029499 Loss_G: -0.006911 Loss_D_real: -0.005294 Loss_D_fake 0.024205
[337/5000][430/535][34528] Loss_D: -0.029705 Loss_G: 0.032919 Loss_D_real: -0.037871 Loss_D_fake -0.008165
[337/5000][435/535][34529] Loss_D: -0.029751 Loss_G: -0.011377 Loss_D_real: -0.000148 Loss_D_fake 0.029603
[337/5000][440/535][34530] Loss_D: -0.030657 Loss_G: 0.002432 Loss_D_real: -0.008937 Loss_D_fake 0.021720
[337/5000][445/535][34531] Loss_D: -0.030520 Loss_G: 0.013389 Loss_D_real: -0.022716 Loss_D_fake 0.007804
[337/5000][450/535][34532] Loss_D: -0.029829 Loss_G: 0.010045 Loss_D_real: -0.022699 Loss_D_fake 0.007130
[337/5000][455/535][34533] Loss_D: -0.029589 Loss_G: 0.002534 Loss_D_real: -0.019988 Loss_D_fake 0.009601
[337/5000][460/535][34534] Loss_D: -0.029761 Loss_G: 0.015142 Loss_D_real: -0.015446 Loss_D_fake 0.014315
[337/5000][465/535][34535] Loss_D: -0.030550 Loss_G: -0.004512 Loss_D_real: -0.004267 Loss_D_fake 0.026283
[337/5000][470/535][34536] Loss_D: -0.030505 Loss_G: 0.030014 Loss_D_real: -0.026275 Loss_D_fake 0.004229
[337/5000][475/535][34537] Loss_D: -0.031649 Loss_G: 0.036312 Loss_D_real: -0.027481 Loss_D_fake 0.004168
[337/5000][480/535][34538] Loss_D: -0.030944 Loss_G: 0.007783 Loss_D_real: -0.013237 Loss_D_fake 0.017708
[337/5000][485/535][34539] Loss_D: -0.031885 Loss_G: 0.039794 Loss_D_real: -0.035589 Loss_D_fake -0.003704
[337/5000][490/535][34540] Loss_D: -0.029699 Loss_G: -0.011270 Loss_D_real: 0.002628 Loss_D_fake 0.032327
[337/5000][495/535][34541] Loss_D: -0.029768 Loss_G: 0.027371 Loss_D_real: -0.031217 Loss_D_fake -0.001449
[337/5000][500/535][34542] Loss_D: -0.031484 Loss_G: 0.034294 Loss_D_real: -0.025885 Loss_D_fake 0.005599
[337/5000][505/535][34543] Loss_D: -0.030687 Loss_G: 0.043312 Loss_D_real: -0.038054 Loss_D_fake -0.007367
[337/5000][510/535][34544] Loss_D: -0.028140 Loss_G: -0.023954 Loss_D_real: 0.010138 Loss_D_fake 0.038278
[337/5000][515/535][34545] Loss_D: -0.028935 Loss_G: 0.006003 Loss_D_real: -0.022683 Loss_D_fake 0.006252
[337/5000][520/535][34546] Loss_D: -0.029348 Loss_G: 0.001903 Loss_D_real: -0.010368 Loss_D_fake 0.018980
[337/5000][525/535][34547] Loss_D: -0.030178 Loss_G: 0.010142 Loss_D_real: -0.016390 Loss_D_fake 0.013788
[337/5000][530/535][34548] Loss_D: -0.029786 Loss_G: 0.037573 Loss_D_real: -0.030062 Loss_D_fake -0.000276
[337/5000][535/535][34549] Loss_D: -0.031348 Loss_G: -0.018364 Loss_D_real: -0.009219 Loss_D_fake 0.022128
[338/5000][5/535][34550] Loss_D: -0.028792 Loss_G: 0.009886 Loss_D_real: -0.022693 Loss_D_fake 0.006099
[338/5000][10/535][34551] Loss_D: -0.029188 Loss_G: -0.004033 Loss_D_real: -0.003320 Loss_D_fake 0.025868
[338/5000][15/535][34552] Loss_D: -0.029516 Loss_G: 0.017377 Loss_D_real: -0.016076 Loss_D_fake 0.013440
[338/5000][20/535][34553] Loss_D: -0.030050 Loss_G: 0.038100 Loss_D_real: -0.027052 Loss_D_fake 0.002998
[338/5000][25/535][34554] Loss_D: -0.031915 Loss_G: 0.025436 Loss_D_real: -0.028876 Loss_D_fake 0.003038
[338/5000][30/535][34555] Loss_D: -0.031211 Loss_G: 0.019492 Loss_D_real: -0.027190 Loss_D_fake 0.004021
[338/5000][35/535][34556] Loss_D: -0.031672 Loss_G: 0.014133 Loss_D_real: -0.019606 Loss_D_fake 0.012066
[338/5000][40/535][34557] Loss_D: -0.032824 Loss_G: 0.040689 Loss_D_real: -0.031211 Loss_D_fake 0.001613
[338/5000][45/535][34558] Loss_D: -0.030896 Loss_G: -0.019417 Loss_D_real: -0.005579 Loss_D_fake 0.025317
[338/5000][50/535][34559] Loss_D: -0.028629 Loss_G: 0.033029 Loss_D_real: -0.028595 Loss_D_fake 0.000034
[338/5000][55/535][34560] Loss_D: -0.032183 Loss_G: 0.023009 Loss_D_real: -0.027737 Loss_D_fake 0.004445
[338/5000][60/535][34561] Loss_D: -0.030774 Loss_G: 0.011861 Loss_D_real: -0.018879 Loss_D_fake 0.011894
[338/5000][65/535][34562] Loss_D: -0.031713 Loss_G: 0.016088 Loss_D_real: -0.018289 Loss_D_fake 0.013423
[338/5000][70/535][34563] Loss_D: -0.032539 Loss_G: 0.010237 Loss_D_real: -0.019501 Loss_D_fake 0.013038
[338/5000][75/535][34564] Loss_D: -0.030886 Loss_G: 0.030236 Loss_D_real: -0.030262 Loss_D_fake 0.000625
[338/5000][80/535][34565] Loss_D: -0.033265 Loss_G: 0.009632 Loss_D_real: -0.020624 Loss_D_fake 0.012640
[338/5000][85/535][34566] Loss_D: -0.030421 Loss_G: -0.005945 Loss_D_real: 0.000761 Loss_D_fake 0.031182
[338/5000][90/535][34567] Loss_D: -0.029165 Loss_G: 0.027292 Loss_D_real: -0.024000 Loss_D_fake 0.005165
[338/5000][95/535][34568] Loss_D: -0.025928 Loss_G: 0.044613 Loss_D_real: -0.037045 Loss_D_fake -0.011117
[338/5000][100/535][34569] Loss_D: -0.031468 Loss_G: 0.008321 Loss_D_real: -0.022685 Loss_D_fake 0.008782
[338/5000][105/535][34570] Loss_D: -0.030140 Loss_G: 0.030231 Loss_D_real: -0.034241 Loss_D_fake -0.004102
[338/5000][110/535][34571] Loss_D: -0.031126 Loss_G: 0.006854 Loss_D_real: -0.017996 Loss_D_fake 0.013130
[338/5000][115/535][34572] Loss_D: -0.030961 Loss_G: 0.026057 Loss_D_real: -0.024510 Loss_D_fake 0.006451
[338/5000][120/535][34573] Loss_D: -0.031685 Loss_G: 0.014765 Loss_D_real: -0.025886 Loss_D_fake 0.005799
[338/5000][125/535][34574] Loss_D: -0.032404 Loss_G: 0.014941 Loss_D_real: -0.028200 Loss_D_fake 0.004204
[338/5000][130/535][34575] Loss_D: -0.031322 Loss_G: 0.014701 Loss_D_real: -0.015155 Loss_D_fake 0.016167
[338/5000][135/535][34576] Loss_D: -0.030960 Loss_G: 0.029185 Loss_D_real: -0.023817 Loss_D_fake 0.007143
[338/5000][140/535][34577] Loss_D: -0.032439 Loss_G: 0.011996 Loss_D_real: -0.021875 Loss_D_fake 0.010564
[338/5000][145/535][34578] Loss_D: -0.029240 Loss_G: 0.029895 Loss_D_real: -0.033194 Loss_D_fake -0.003954
[338/5000][150/535][34579] Loss_D: -0.031526 Loss_G: 0.011795 Loss_D_real: -0.014994 Loss_D_fake 0.016531
[338/5000][155/535][34580] Loss_D: -0.031837 Loss_G: -0.000380 Loss_D_real: -0.005455 Loss_D_fake 0.026382
[338/5000][160/535][34581] Loss_D: -0.031001 Loss_G: 0.030456 Loss_D_real: -0.023228 Loss_D_fake 0.007773
[338/5000][165/535][34582] Loss_D: -0.031903 Loss_G: 0.005610 Loss_D_real: -0.012708 Loss_D_fake 0.019194
[338/5000][170/535][34583] Loss_D: -0.031103 Loss_G: 0.022076 Loss_D_real: -0.017450 Loss_D_fake 0.013654
[338/5000][175/535][34584] Loss_D: -0.029023 Loss_G: 0.033354 Loss_D_real: -0.046002 Loss_D_fake -0.016979
[338/5000][180/535][34585] Loss_D: -0.029605 Loss_G: -0.006956 Loss_D_real: -0.010353 Loss_D_fake 0.019252
[338/5000][185/535][34586] Loss_D: -0.031491 Loss_G: 0.025892 Loss_D_real: -0.029239 Loss_D_fake 0.002252
[338/5000][190/535][34587] Loss_D: -0.031342 Loss_G: 0.005732 Loss_D_real: -0.015526 Loss_D_fake 0.015815
[338/5000][195/535][34588] Loss_D: -0.030192 Loss_G: 0.023255 Loss_D_real: -0.022302 Loss_D_fake 0.007890
[338/5000][200/535][34589] Loss_D: -0.030221 Loss_G: 0.023942 Loss_D_real: -0.023888 Loss_D_fake 0.006332
[338/5000][205/535][34590] Loss_D: -0.030581 Loss_G: 0.038577 Loss_D_real: -0.038232 Loss_D_fake -0.007652
[338/5000][210/535][34591] Loss_D: -0.030019 Loss_G: 0.005288 Loss_D_real: -0.002559 Loss_D_fake 0.027460
[338/5000][215/535][34592] Loss_D: -0.031011 Loss_G: 0.024869 Loss_D_real: -0.020608 Loss_D_fake 0.010403
[338/5000][220/535][34593] Loss_D: -0.031658 Loss_G: 0.011935 Loss_D_real: -0.014980 Loss_D_fake 0.016678
[338/5000][225/535][34594] Loss_D: -0.031960 Loss_G: 0.011805 Loss_D_real: -0.019720 Loss_D_fake 0.012239
[338/5000][230/535][34595] Loss_D: -0.030406 Loss_G: 0.026589 Loss_D_real: -0.021423 Loss_D_fake 0.008983
[338/5000][235/535][34596] Loss_D: -0.030537 Loss_G: 0.008827 Loss_D_real: -0.010495 Loss_D_fake 0.020042
[338/5000][240/535][34597] Loss_D: -0.029786 Loss_G: 0.032711 Loss_D_real: -0.030810 Loss_D_fake -0.001024
[338/5000][245/535][34598] Loss_D: -0.030442 Loss_G: 0.000024 Loss_D_real: -0.009561 Loss_D_fake 0.020880
[338/5000][250/535][34599] Loss_D: -0.029174 Loss_G: 0.022507 Loss_D_real: -0.028452 Loss_D_fake 0.000723
[338/5000][255/535][34600] Loss_D: -0.031076 Loss_G: 0.025494 Loss_D_real: -0.020634 Loss_D_fake 0.010442
[338/5000][260/535][34601] Loss_D: -0.031407 Loss_G: 0.027390 Loss_D_real: -0.034219 Loss_D_fake -0.002811
[338/5000][265/535][34602] Loss_D: -0.030251 Loss_G: -0.012136 Loss_D_real: 0.001945 Loss_D_fake 0.032196
[338/5000][270/535][34603] Loss_D: -0.029433 Loss_G: 0.001895 Loss_D_real: -0.019166 Loss_D_fake 0.010267
[338/5000][275/535][34604] Loss_D: -0.031022 Loss_G: 0.000511 Loss_D_real: -0.005506 Loss_D_fake 0.025516
[338/5000][280/535][34605] Loss_D: -0.030069 Loss_G: 0.026615 Loss_D_real: -0.020989 Loss_D_fake 0.009080
[338/5000][285/535][34606] Loss_D: -0.029662 Loss_G: 0.026624 Loss_D_real: -0.030850 Loss_D_fake -0.001188
[338/5000][290/535][34607] Loss_D: -0.029944 Loss_G: 0.027767 Loss_D_real: -0.032378 Loss_D_fake -0.002433
[338/5000][295/535][34608] Loss_D: -0.031507 Loss_G: 0.023656 Loss_D_real: -0.018492 Loss_D_fake 0.013015
[338/5000][300/535][34609] Loss_D: -0.030114 Loss_G: 0.027742 Loss_D_real: -0.032387 Loss_D_fake -0.002273
[338/5000][305/535][34610] Loss_D: -0.031978 Loss_G: -0.011784 Loss_D_real: 0.001382 Loss_D_fake 0.033360
[338/5000][310/535][34611] Loss_D: -0.029158 Loss_G: 0.031923 Loss_D_real: -0.032421 Loss_D_fake -0.003263
[338/5000][315/535][34612] Loss_D: -0.032090 Loss_G: 0.010884 Loss_D_real: -0.024102 Loss_D_fake 0.007988
[338/5000][320/535][34613] Loss_D: -0.031350 Loss_G: 0.001719 Loss_D_real: -0.016432 Loss_D_fake 0.014918
[338/5000][325/535][34614] Loss_D: -0.029092 Loss_G: 0.039781 Loss_D_real: -0.036449 Loss_D_fake -0.007357
[338/5000][330/535][34615] Loss_D: -0.030347 Loss_G: 0.014946 Loss_D_real: -0.018583 Loss_D_fake 0.011764
[338/5000][335/535][34616] Loss_D: -0.031479 Loss_G: -0.012224 Loss_D_real: -0.008262 Loss_D_fake 0.023217
[338/5000][340/535][34617] Loss_D: -0.030494 Loss_G: 0.033243 Loss_D_real: -0.033121 Loss_D_fake -0.002627
[338/5000][345/535][34618] Loss_D: -0.030204 Loss_G: 0.037856 Loss_D_real: -0.037531 Loss_D_fake -0.007326
[338/5000][350/535][34619] Loss_D: -0.031405 Loss_G: 0.010474 Loss_D_real: -0.007098 Loss_D_fake 0.024307
[338/5000][355/535][34620] Loss_D: -0.031746 Loss_G: 0.026832 Loss_D_real: -0.035240 Loss_D_fake -0.003495
[338/5000][360/535][34621] Loss_D: -0.032258 Loss_G: -0.001862 Loss_D_real: -0.007217 Loss_D_fake 0.025041
[338/5000][365/535][34622] Loss_D: -0.030564 Loss_G: 0.021815 Loss_D_real: -0.023031 Loss_D_fake 0.007533
[338/5000][370/535][34623] Loss_D: -0.032025 Loss_G: 0.005328 Loss_D_real: -0.005400 Loss_D_fake 0.026625
[338/5000][375/535][34624] Loss_D: -0.031101 Loss_G: 0.008217 Loss_D_real: -0.013086 Loss_D_fake 0.018016
[338/5000][380/535][34625] Loss_D: -0.029738 Loss_G: 0.012603 Loss_D_real: -0.010484 Loss_D_fake 0.019253
[338/5000][385/535][34626] Loss_D: -0.029575 Loss_G: -0.000335 Loss_D_real: -0.011880 Loss_D_fake 0.017695
[338/5000][390/535][34627] Loss_D: -0.030261 Loss_G: 0.017303 Loss_D_real: -0.016795 Loss_D_fake 0.013465
[338/5000][395/535][34628] Loss_D: -0.028971 Loss_G: 0.029998 Loss_D_real: -0.022164 Loss_D_fake 0.006807
[338/5000][400/535][34629] Loss_D: -0.029197 Loss_G: 0.011758 Loss_D_real: -0.015204 Loss_D_fake 0.013993
[338/5000][405/535][34630] Loss_D: -0.030294 Loss_G: 0.009093 Loss_D_real: -0.004634 Loss_D_fake 0.025660
[338/5000][410/535][34631] Loss_D: -0.030373 Loss_G: 0.015532 Loss_D_real: -0.011915 Loss_D_fake 0.018458
[338/5000][415/535][34632] Loss_D: -0.029195 Loss_G: 0.007042 Loss_D_real: -0.014810 Loss_D_fake 0.014385
[338/5000][420/535][34633] Loss_D: -0.029600 Loss_G: 0.018655 Loss_D_real: -0.017324 Loss_D_fake 0.012276
[338/5000][425/535][34634] Loss_D: -0.030491 Loss_G: 0.002605 Loss_D_real: -0.008279 Loss_D_fake 0.022212
[338/5000][430/535][34635] Loss_D: -0.028135 Loss_G: 0.025615 Loss_D_real: -0.036823 Loss_D_fake -0.008688
[338/5000][435/535][34636] Loss_D: -0.029443 Loss_G: 0.011239 Loss_D_real: -0.020689 Loss_D_fake 0.008754
[338/5000][440/535][34637] Loss_D: -0.030199 Loss_G: 0.027873 Loss_D_real: -0.024187 Loss_D_fake 0.006012
[338/5000][445/535][34638] Loss_D: -0.029728 Loss_G: -0.005622 Loss_D_real: -0.001608 Loss_D_fake 0.028121
[338/5000][450/535][34639] Loss_D: -0.028030 Loss_G: 0.036701 Loss_D_real: -0.032320 Loss_D_fake -0.004290
[338/5000][455/535][34640] Loss_D: -0.032073 Loss_G: 0.020763 Loss_D_real: -0.029257 Loss_D_fake 0.002815
[338/5000][460/535][34641] Loss_D: -0.030509 Loss_G: 0.028881 Loss_D_real: -0.029729 Loss_D_fake 0.000780
[338/5000][465/535][34642] Loss_D: -0.031786 Loss_G: 0.016678 Loss_D_real: -0.014736 Loss_D_fake 0.017050
[338/5000][470/535][34643] Loss_D: -0.029754 Loss_G: 0.014409 Loss_D_real: -0.013083 Loss_D_fake 0.016670
[338/5000][475/535][34644] Loss_D: -0.030950 Loss_G: 0.042878 Loss_D_real: -0.036643 Loss_D_fake -0.005693
[338/5000][480/535][34645] Loss_D: -0.031752 Loss_G: 0.009330 Loss_D_real: -0.014843 Loss_D_fake 0.016909
[338/5000][485/535][34646] Loss_D: -0.031169 Loss_G: 0.020612 Loss_D_real: -0.023716 Loss_D_fake 0.007453
[338/5000][490/535][34647] Loss_D: -0.031693 Loss_G: 0.015390 Loss_D_real: -0.027084 Loss_D_fake 0.004609
[338/5000][495/535][34648] Loss_D: -0.030605 Loss_G: -0.002872 Loss_D_real: -0.007572 Loss_D_fake 0.023033
[338/5000][500/535][34649] Loss_D: -0.029837 Loss_G: 0.027233 Loss_D_real: -0.029994 Loss_D_fake -0.000157
[338/5000][505/535][34650] Loss_D: -0.031424 Loss_G: 0.022423 Loss_D_real: -0.023479 Loss_D_fake 0.007945
[338/5000][510/535][34651] Loss_D: -0.030405 Loss_G: 0.016837 Loss_D_real: -0.016504 Loss_D_fake 0.013902
[338/5000][515/535][34652] Loss_D: -0.031237 Loss_G: 0.027152 Loss_D_real: -0.025330 Loss_D_fake 0.005907
[338/5000][520/535][34653] Loss_D: -0.032390 Loss_G: 0.003949 Loss_D_real: -0.015870 Loss_D_fake 0.016520
[338/5000][525/535][34654] Loss_D: -0.029682 Loss_G: 0.035068 Loss_D_real: -0.033395 Loss_D_fake -0.003713
[338/5000][530/535][34655] Loss_D: -0.029147 Loss_G: -0.011360 Loss_D_real: 0.001686 Loss_D_fake 0.030833
[338/5000][535/535][34656] Loss_D: -0.028601 Loss_G: 0.038807 Loss_D_real: -0.038539 Loss_D_fake -0.009938
[339/5000][5/535][34657] Loss_D: -0.031615 Loss_G: 0.003935 Loss_D_real: -0.012618 Loss_D_fake 0.018997
[339/5000][10/535][34658] Loss_D: -0.029605 Loss_G: 0.000986 Loss_D_real: -0.007765 Loss_D_fake 0.021840
[339/5000][15/535][34659] Loss_D: -0.029704 Loss_G: 0.000896 Loss_D_real: -0.009902 Loss_D_fake 0.019801
[339/5000][20/535][34660] Loss_D: -0.029579 Loss_G: 0.039752 Loss_D_real: -0.032771 Loss_D_fake -0.003192
[339/5000][25/535][34661] Loss_D: -0.031057 Loss_G: 0.016474 Loss_D_real: -0.017892 Loss_D_fake 0.013164
[339/5000][30/535][34662] Loss_D: -0.031246 Loss_G: 0.033107 Loss_D_real: -0.026381 Loss_D_fake 0.004865
[339/5000][35/535][34663] Loss_D: -0.032100 Loss_G: 0.014420 Loss_D_real: -0.021847 Loss_D_fake 0.010253
[339/5000][40/535][34664] Loss_D: -0.030521 Loss_G: 0.024140 Loss_D_real: -0.032347 Loss_D_fake -0.001826
[339/5000][45/535][34665] Loss_D: -0.031248 Loss_G: -0.003218 Loss_D_real: -0.002807 Loss_D_fake 0.028441
[339/5000][50/535][34666] Loss_D: -0.028227 Loss_G: 0.027437 Loss_D_real: -0.032308 Loss_D_fake -0.004080
[339/5000][55/535][34667] Loss_D: -0.030991 Loss_G: 0.021921 Loss_D_real: -0.022186 Loss_D_fake 0.008805
[339/5000][60/535][34668] Loss_D: -0.031492 Loss_G: 0.024241 Loss_D_real: -0.026429 Loss_D_fake 0.005063
[339/5000][65/535][34669] Loss_D: -0.032520 Loss_G: 0.009402 Loss_D_real: -0.010869 Loss_D_fake 0.021650
[339/5000][70/535][34670] Loss_D: -0.028965 Loss_G: 0.026005 Loss_D_real: -0.020634 Loss_D_fake 0.008330
[339/5000][75/535][34671] Loss_D: -0.027301 Loss_G: -0.009358 Loss_D_real: 0.006485 Loss_D_fake 0.033786
[339/5000][80/535][34672] Loss_D: -0.031297 Loss_G: 0.019637 Loss_D_real: -0.012847 Loss_D_fake 0.018451
[339/5000][85/535][34673] Loss_D: -0.028615 Loss_G: -0.015845 Loss_D_real: -0.003057 Loss_D_fake 0.025557
[339/5000][90/535][34674] Loss_D: -0.030057 Loss_G: 0.033308 Loss_D_real: -0.033133 Loss_D_fake -0.003076
[339/5000][95/535][34675] Loss_D: -0.030791 Loss_G: 0.009596 Loss_D_real: -0.012039 Loss_D_fake 0.018752
[339/5000][100/535][34676] Loss_D: -0.031467 Loss_G: 0.008425 Loss_D_real: -0.013768 Loss_D_fake 0.017698
[339/5000][105/535][34677] Loss_D: -0.031923 Loss_G: 0.027186 Loss_D_real: -0.027781 Loss_D_fake 0.004142
[339/5000][110/535][34678] Loss_D: -0.031688 Loss_G: 0.026572 Loss_D_real: -0.022694 Loss_D_fake 0.008994
[339/5000][115/535][34679] Loss_D: -0.032754 Loss_G: 0.017718 Loss_D_real: -0.024535 Loss_D_fake 0.008219
[339/5000][120/535][34680] Loss_D: -0.031711 Loss_G: 0.017218 Loss_D_real: -0.026093 Loss_D_fake 0.005618
[339/5000][125/535][34681] Loss_D: -0.032182 Loss_G: 0.014136 Loss_D_real: -0.020986 Loss_D_fake 0.011196
[339/5000][130/535][34682] Loss_D: -0.030717 Loss_G: 0.050145 Loss_D_real: -0.044170 Loss_D_fake -0.013452
[339/5000][135/535][34683] Loss_D: -0.030113 Loss_G: 0.012328 Loss_D_real: -0.010968 Loss_D_fake 0.019145
[339/5000][140/535][34684] Loss_D: -0.030299 Loss_G: 0.018596 Loss_D_real: -0.028944 Loss_D_fake 0.001355
[339/5000][145/535][34685] Loss_D: -0.031339 Loss_G: 0.029307 Loss_D_real: -0.030427 Loss_D_fake 0.000912
[339/5000][150/535][34686] Loss_D: -0.032114 Loss_G: 0.037404 Loss_D_real: -0.025758 Loss_D_fake 0.006356
[339/5000][155/535][34687] Loss_D: -0.031274 Loss_G: -0.006796 Loss_D_real: -0.002125 Loss_D_fake 0.029149
[339/5000][160/535][34688] Loss_D: -0.030116 Loss_G: 0.031800 Loss_D_real: -0.027870 Loss_D_fake 0.002246
[339/5000][165/535][34689] Loss_D: -0.031250 Loss_G: 0.020463 Loss_D_real: -0.022498 Loss_D_fake 0.008752
[339/5000][170/535][34690] Loss_D: -0.031998 Loss_G: 0.022534 Loss_D_real: -0.025124 Loss_D_fake 0.006873
[339/5000][175/535][34691] Loss_D: -0.030550 Loss_G: 0.027341 Loss_D_real: -0.030645 Loss_D_fake -0.000094
[339/5000][180/535][34692] Loss_D: -0.030441 Loss_G: 0.013355 Loss_D_real: -0.023641 Loss_D_fake 0.006800
[339/5000][185/535][34693] Loss_D: -0.030708 Loss_G: 0.041898 Loss_D_real: -0.035431 Loss_D_fake -0.004723
[339/5000][190/535][34694] Loss_D: -0.031302 Loss_G: 0.026063 Loss_D_real: -0.021814 Loss_D_fake 0.009488
[339/5000][195/535][34695] Loss_D: -0.030590 Loss_G: 0.020947 Loss_D_real: -0.019764 Loss_D_fake 0.010825
[339/5000][200/535][34696] Loss_D: -0.031372 Loss_G: 0.024695 Loss_D_real: -0.028492 Loss_D_fake 0.002879
[339/5000][205/535][34697] Loss_D: -0.028932 Loss_G: 0.032965 Loss_D_real: -0.026000 Loss_D_fake 0.002932
[339/5000][210/535][34698] Loss_D: -0.031650 Loss_G: -0.009418 Loss_D_real: -0.003987 Loss_D_fake 0.027663
[339/5000][215/535][34699] Loss_D: -0.029793 Loss_G: 0.026834 Loss_D_real: -0.021296 Loss_D_fake 0.008497
[339/5000][220/535][34700] Loss_D: -0.030359 Loss_G: 0.015217 Loss_D_real: -0.028621 Loss_D_fake 0.001737
[339/5000][225/535][34701] Loss_D: -0.030179 Loss_G: 0.024742 Loss_D_real: -0.022850 Loss_D_fake 0.007329
[339/5000][230/535][34702] Loss_D: -0.030974 Loss_G: 0.000576 Loss_D_real: -0.004750 Loss_D_fake 0.026225
[339/5000][235/535][34703] Loss_D: -0.030195 Loss_G: 0.005847 Loss_D_real: -0.022430 Loss_D_fake 0.007765
[339/5000][240/535][34704] Loss_D: -0.029905 Loss_G: 0.025714 Loss_D_real: -0.028704 Loss_D_fake 0.001201
[339/5000][245/535][34705] Loss_D: -0.032833 Loss_G: 0.013228 Loss_D_real: -0.021273 Loss_D_fake 0.011560
[339/5000][250/535][34706] Loss_D: -0.031084 Loss_G: 0.019789 Loss_D_real: -0.022243 Loss_D_fake 0.008841
[339/5000][255/535][34707] Loss_D: -0.029840 Loss_G: 0.024365 Loss_D_real: -0.028339 Loss_D_fake 0.001501
[339/5000][260/535][34708] Loss_D: -0.031027 Loss_G: 0.023357 Loss_D_real: -0.021067 Loss_D_fake 0.009960
[339/5000][265/535][34709] Loss_D: -0.029843 Loss_G: -0.002278 Loss_D_real: -0.004353 Loss_D_fake 0.025489
[339/5000][270/535][34710] Loss_D: -0.030449 Loss_G: 0.031326 Loss_D_real: -0.023795 Loss_D_fake 0.006655
[339/5000][275/535][34711] Loss_D: -0.031048 Loss_G: 0.021385 Loss_D_real: -0.021077 Loss_D_fake 0.009971
[339/5000][280/535][34712] Loss_D: -0.032369 Loss_G: 0.022038 Loss_D_real: -0.027016 Loss_D_fake 0.005353
[339/5000][285/535][34713] Loss_D: -0.030898 Loss_G: 0.005024 Loss_D_real: -0.010167 Loss_D_fake 0.020731
[339/5000][290/535][34714] Loss_D: -0.027656 Loss_G: 0.044604 Loss_D_real: -0.031022 Loss_D_fake -0.003366
[339/5000][295/535][34715] Loss_D: -0.030466 Loss_G: -0.001337 Loss_D_real: -0.006665 Loss_D_fake 0.023801
[339/5000][300/535][34716] Loss_D: -0.029596 Loss_G: 0.032234 Loss_D_real: -0.039737 Loss_D_fake -0.010142
[339/5000][305/535][34717] Loss_D: -0.031574 Loss_G: 0.018863 Loss_D_real: -0.020596 Loss_D_fake 0.010978
[339/5000][310/535][34718] Loss_D: -0.030217 Loss_G: 0.023553 Loss_D_real: -0.023560 Loss_D_fake 0.006657
[339/5000][315/535][34719] Loss_D: -0.030206 Loss_G: -0.006350 Loss_D_real: 0.002902 Loss_D_fake 0.033108
[339/5000][320/535][34720] Loss_D: -0.030931 Loss_G: 0.002144 Loss_D_real: -0.011523 Loss_D_fake 0.019409
[339/5000][325/535][34721] Loss_D: -0.029049 Loss_G: 0.011343 Loss_D_real: -0.016796 Loss_D_fake 0.012252
[339/5000][330/535][34722] Loss_D: -0.030536 Loss_G: 0.012708 Loss_D_real: -0.031161 Loss_D_fake -0.000624
[339/5000][335/535][34723] Loss_D: -0.032393 Loss_G: 0.014810 Loss_D_real: -0.022925 Loss_D_fake 0.009468
[339/5000][340/535][34724] Loss_D: -0.030637 Loss_G: 0.028335 Loss_D_real: -0.027684 Loss_D_fake 0.002953
[339/5000][345/535][34725] Loss_D: -0.030028 Loss_G: 0.003167 Loss_D_real: -0.013045 Loss_D_fake 0.016983
[339/5000][350/535][34726] Loss_D: -0.030299 Loss_G: 0.023968 Loss_D_real: -0.013282 Loss_D_fake 0.017017
[339/5000][355/535][34727] Loss_D: -0.030713 Loss_G: 0.014673 Loss_D_real: -0.012213 Loss_D_fake 0.018500
[339/5000][360/535][34728] Loss_D: -0.030267 Loss_G: 0.013968 Loss_D_real: -0.017790 Loss_D_fake 0.012477
[339/5000][365/535][34729] Loss_D: -0.029317 Loss_G: 0.000885 Loss_D_real: -0.009004 Loss_D_fake 0.020313
[339/5000][370/535][34730] Loss_D: -0.030267 Loss_G: 0.031793 Loss_D_real: -0.026968 Loss_D_fake 0.003298
[339/5000][375/535][34731] Loss_D: -0.030693 Loss_G: 0.005613 Loss_D_real: -0.006327 Loss_D_fake 0.024366
[339/5000][380/535][34732] Loss_D: -0.027421 Loss_G: 0.045809 Loss_D_real: -0.042561 Loss_D_fake -0.015139
[339/5000][385/535][34733] Loss_D: -0.031162 Loss_G: 0.004442 Loss_D_real: -0.009449 Loss_D_fake 0.021713
[339/5000][390/535][34734] Loss_D: -0.031989 Loss_G: 0.013397 Loss_D_real: -0.020100 Loss_D_fake 0.011890
[339/5000][395/535][34735] Loss_D: -0.031327 Loss_G: -0.000033 Loss_D_real: -0.007029 Loss_D_fake 0.024298
[339/5000][400/535][34736] Loss_D: -0.028908 Loss_G: 0.032960 Loss_D_real: -0.033759 Loss_D_fake -0.004851
[339/5000][405/535][34737] Loss_D: -0.031409 Loss_G: 0.016471 Loss_D_real: -0.020870 Loss_D_fake 0.010539
[339/5000][410/535][34738] Loss_D: -0.030406 Loss_G: 0.006774 Loss_D_real: -0.011721 Loss_D_fake 0.018685
[339/5000][415/535][34739] Loss_D: -0.030274 Loss_G: 0.003234 Loss_D_real: -0.017078 Loss_D_fake 0.013196
[339/5000][420/535][34740] Loss_D: -0.030923 Loss_G: 0.017569 Loss_D_real: -0.023292 Loss_D_fake 0.007631
[339/5000][425/535][34741] Loss_D: -0.030778 Loss_G: 0.007468 Loss_D_real: -0.009056 Loss_D_fake 0.021721
[339/5000][430/535][34742] Loss_D: -0.030322 Loss_G: 0.026515 Loss_D_real: -0.032399 Loss_D_fake -0.002077
[339/5000][435/535][34743] Loss_D: -0.031031 Loss_G: 0.031805 Loss_D_real: -0.024175 Loss_D_fake 0.006856
[339/5000][440/535][34744] Loss_D: -0.030798 Loss_G: -0.005879 Loss_D_real: -0.000307 Loss_D_fake 0.030492
[339/5000][445/535][34745] Loss_D: -0.031194 Loss_G: 0.008074 Loss_D_real: -0.016497 Loss_D_fake 0.014698
[339/5000][450/535][34746] Loss_D: -0.029633 Loss_G: 0.038610 Loss_D_real: -0.026913 Loss_D_fake 0.002720
[339/5000][455/535][34747] Loss_D: -0.029509 Loss_G: -0.014465 Loss_D_real: 0.003593 Loss_D_fake 0.033102
[339/5000][460/535][34748] Loss_D: -0.029671 Loss_G: 0.012298 Loss_D_real: -0.026334 Loss_D_fake 0.003337
[339/5000][465/535][34749] Loss_D: -0.031575 Loss_G: 0.010208 Loss_D_real: -0.009762 Loss_D_fake 0.021813
[339/5000][470/535][34750] Loss_D: -0.031165 Loss_G: -0.001482 Loss_D_real: -0.012724 Loss_D_fake 0.018440
[339/5000][475/535][34751] Loss_D: -0.030054 Loss_G: 0.021470 Loss_D_real: -0.025073 Loss_D_fake 0.004982
[339/5000][480/535][34752] Loss_D: -0.031026 Loss_G: 0.020930 Loss_D_real: -0.025421 Loss_D_fake 0.005605
[339/5000][485/535][34753] Loss_D: -0.030463 Loss_G: 0.014845 Loss_D_real: -0.019868 Loss_D_fake 0.010595
[339/5000][490/535][34754] Loss_D: -0.030901 Loss_G: 0.001904 Loss_D_real: -0.005949 Loss_D_fake 0.024952
[339/5000][495/535][34755] Loss_D: -0.030636 Loss_G: 0.007256 Loss_D_real: -0.010871 Loss_D_fake 0.019765
[339/5000][500/535][34756] Loss_D: -0.029890 Loss_G: 0.016275 Loss_D_real: -0.025377 Loss_D_fake 0.004513
[339/5000][505/535][34757] Loss_D: -0.032194 Loss_G: 0.030417 Loss_D_real: -0.020126 Loss_D_fake 0.012068
[339/5000][510/535][34758] Loss_D: -0.030186 Loss_G: -0.011351 Loss_D_real: 0.000190 Loss_D_fake 0.030376
[339/5000][515/535][34759] Loss_D: -0.029656 Loss_G: 0.024174 Loss_D_real: -0.028308 Loss_D_fake 0.001348
[339/5000][520/535][34760] Loss_D: -0.029951 Loss_G: -0.012873 Loss_D_real: -0.009594 Loss_D_fake 0.020358
[339/5000][525/535][34761] Loss_D: -0.030587 Loss_G: 0.005470 Loss_D_real: -0.023394 Loss_D_fake 0.007193
[339/5000][530/535][34762] Loss_D: -0.031764 Loss_G: -0.000304 Loss_D_real: -0.007947 Loss_D_fake 0.023817
[339/5000][535/535][34763] Loss_D: -0.028517 Loss_G: 0.005952 Loss_D_real: -0.027572 Loss_D_fake 0.000944
[340/5000][5/535][34764] Loss_D: -0.032082 Loss_G: 0.030370 Loss_D_real: -0.025755 Loss_D_fake 0.006327
[340/5000][10/535][34765] Loss_D: -0.030565 Loss_G: 0.030515 Loss_D_real: -0.034552 Loss_D_fake -0.003987
[340/5000][15/535][34766] Loss_D: -0.030365 Loss_G: 0.029383 Loss_D_real: -0.033455 Loss_D_fake -0.003090
[340/5000][20/535][34767] Loss_D: -0.030350 Loss_G: 0.020170 Loss_D_real: -0.027284 Loss_D_fake 0.003066
[340/5000][25/535][34768] Loss_D: -0.031434 Loss_G: -0.003917 Loss_D_real: -0.002313 Loss_D_fake 0.029121
[340/5000][30/535][34769] Loss_D: -0.030411 Loss_G: 0.032023 Loss_D_real: -0.028833 Loss_D_fake 0.001578
[340/5000][35/535][34770] Loss_D: -0.028199 Loss_G: 0.046242 Loss_D_real: -0.042831 Loss_D_fake -0.014632
[340/5000][40/535][34771] Loss_D: -0.030583 Loss_G: 0.001931 Loss_D_real: -0.013393 Loss_D_fake 0.017190
[340/5000][45/535][34772] Loss_D: -0.028467 Loss_G: 0.043516 Loss_D_real: -0.039287 Loss_D_fake -0.010820
[340/5000][50/535][34773] Loss_D: -0.031591 Loss_G: -0.000149 Loss_D_real: -0.014632 Loss_D_fake 0.016959
[340/5000][55/535][34774] Loss_D: -0.031664 Loss_G: 0.023217 Loss_D_real: -0.027569 Loss_D_fake 0.004094
[340/5000][60/535][34775] Loss_D: -0.031451 Loss_G: 0.019146 Loss_D_real: -0.032927 Loss_D_fake -0.001476
[340/5000][65/535][34776] Loss_D: -0.030813 Loss_G: 0.032103 Loss_D_real: -0.029359 Loss_D_fake 0.001454
[340/5000][70/535][34777] Loss_D: -0.029433 Loss_G: 0.020031 Loss_D_real: -0.022559 Loss_D_fake 0.006875
[340/5000][75/535][34778] Loss_D: -0.032171 Loss_G: 0.013085 Loss_D_real: -0.018784 Loss_D_fake 0.013387
[340/5000][80/535][34779] Loss_D: -0.032010 Loss_G: 0.030789 Loss_D_real: -0.030722 Loss_D_fake 0.001288
[340/5000][85/535][34780] Loss_D: -0.030864 Loss_G: 0.014918 Loss_D_real: -0.013132 Loss_D_fake 0.017732
[340/5000][90/535][34781] Loss_D: -0.029716 Loss_G: 0.010101 Loss_D_real: -0.010331 Loss_D_fake 0.019385
[340/5000][95/535][34782] Loss_D: -0.029146 Loss_G: 0.030603 Loss_D_real: -0.030394 Loss_D_fake -0.001248
[340/5000][100/535][34783] Loss_D: -0.029255 Loss_G: -0.003937 Loss_D_real: -0.003372 Loss_D_fake 0.025883
[340/5000][105/535][34784] Loss_D: -0.030279 Loss_G: 0.009668 Loss_D_real: -0.018046 Loss_D_fake 0.012233
[340/5000][110/535][34785] Loss_D: -0.030303 Loss_G: 0.014845 Loss_D_real: -0.025934 Loss_D_fake 0.004369
[340/5000][115/535][34786] Loss_D: -0.031011 Loss_G: 0.016862 Loss_D_real: -0.016951 Loss_D_fake 0.014060
[340/5000][120/535][34787] Loss_D: -0.030401 Loss_G: 0.010754 Loss_D_real: -0.019397 Loss_D_fake 0.011005
[340/5000][125/535][34788] Loss_D: -0.030171 Loss_G: 0.038247 Loss_D_real: -0.029140 Loss_D_fake 0.001031
[340/5000][130/535][34789] Loss_D: -0.031408 Loss_G: 0.020459 Loss_D_real: -0.018159 Loss_D_fake 0.013249
[340/5000][135/535][34790] Loss_D: -0.030668 Loss_G: 0.018076 Loss_D_real: -0.020693 Loss_D_fake 0.009975
[340/5000][140/535][34791] Loss_D: -0.031323 Loss_G: 0.007760 Loss_D_real: -0.021023 Loss_D_fake 0.010300
[340/5000][145/535][34792] Loss_D: -0.031075 Loss_G: 0.032254 Loss_D_real: -0.028861 Loss_D_fake 0.002214
[340/5000][150/535][34793] Loss_D: -0.031137 Loss_G: -0.010073 Loss_D_real: -0.005426 Loss_D_fake 0.025711
[340/5000][155/535][34794] Loss_D: -0.030769 Loss_G: 0.012896 Loss_D_real: -0.027655 Loss_D_fake 0.003114
[340/5000][160/535][34795] Loss_D: -0.032007 Loss_G: 0.036538 Loss_D_real: -0.022789 Loss_D_fake 0.009218
[340/5000][165/535][34796] Loss_D: -0.031755 Loss_G: 0.024517 Loss_D_real: -0.018399 Loss_D_fake 0.013356
[340/5000][170/535][34797] Loss_D: -0.031847 Loss_G: 0.003931 Loss_D_real: -0.012167 Loss_D_fake 0.019680
[340/5000][175/535][34798] Loss_D: -0.029822 Loss_G: 0.004120 Loss_D_real: -0.008722 Loss_D_fake 0.021100
[340/5000][180/535][34799] Loss_D: -0.031940 Loss_G: 0.035895 Loss_D_real: -0.026239 Loss_D_fake 0.005701
[340/5000][185/535][34800] Loss_D: -0.032109 Loss_G: 0.010194 Loss_D_real: -0.015599 Loss_D_fake 0.016510
[340/5000][190/535][34801] Loss_D: -0.032096 Loss_G: 0.023617 Loss_D_real: -0.024605 Loss_D_fake 0.007491
[340/5000][195/535][34802] Loss_D: -0.029730 Loss_G: 0.014832 Loss_D_real: -0.018765 Loss_D_fake 0.010964
[340/5000][200/535][34803] Loss_D: -0.029048 Loss_G: 0.036385 Loss_D_real: -0.040096 Loss_D_fake -0.011049
[340/5000][205/535][34804] Loss_D: -0.031775 Loss_G: 0.006600 Loss_D_real: -0.012981 Loss_D_fake 0.018794
[340/5000][210/535][34805] Loss_D: -0.031357 Loss_G: 0.017174 Loss_D_real: -0.017355 Loss_D_fake 0.014002
[340/5000][215/535][34806] Loss_D: -0.029964 Loss_G: 0.006928 Loss_D_real: -0.007498 Loss_D_fake 0.022466
[340/5000][220/535][34807] Loss_D: -0.030039 Loss_G: 0.036486 Loss_D_real: -0.034251 Loss_D_fake -0.004212
[340/5000][225/535][34808] Loss_D: -0.028445 Loss_G: 0.003298 Loss_D_real: -0.007734 Loss_D_fake 0.020711
[340/5000][230/535][34809] Loss_D: -0.028310 Loss_G: 0.024967 Loss_D_real: -0.034242 Loss_D_fake -0.005931
[340/5000][235/535][34810] Loss_D: -0.030375 Loss_G: 0.018681 Loss_D_real: -0.022950 Loss_D_fake 0.007425
[340/5000][240/535][34811] Loss_D: -0.030170 Loss_G: 0.001094 Loss_D_real: -0.010929 Loss_D_fake 0.019242
[340/5000][245/535][34812] Loss_D: -0.028397 Loss_G: -0.005278 Loss_D_real: 0.003608 Loss_D_fake 0.032005
[340/5000][250/535][34813] Loss_D: -0.029804 Loss_G: 0.030858 Loss_D_real: -0.033620 Loss_D_fake -0.003817
[340/5000][255/535][34814] Loss_D: -0.030482 Loss_G: 0.003553 Loss_D_real: -0.014800 Loss_D_fake 0.015683
[340/5000][260/535][34815] Loss_D: -0.027963 Loss_G: 0.030730 Loss_D_real: -0.026441 Loss_D_fake 0.001521
[340/5000][265/535][34816] Loss_D: -0.029872 Loss_G: 0.026402 Loss_D_real: -0.025105 Loss_D_fake 0.004766
[340/5000][270/535][34817] Loss_D: -0.032309 Loss_G: 0.023795 Loss_D_real: -0.019439 Loss_D_fake 0.012870
[340/5000][275/535][34818] Loss_D: -0.030841 Loss_G: 0.004827 Loss_D_real: -0.018708 Loss_D_fake 0.012132
[340/5000][280/535][34819] Loss_D: -0.030916 Loss_G: 0.002175 Loss_D_real: -0.005635 Loss_D_fake 0.025281
[340/5000][285/535][34820] Loss_D: -0.029422 Loss_G: 0.011570 Loss_D_real: -0.024796 Loss_D_fake 0.004627
[340/5000][290/535][34821] Loss_D: -0.030347 Loss_G: 0.028434 Loss_D_real: -0.023163 Loss_D_fake 0.007184
[340/5000][295/535][34822] Loss_D: -0.032944 Loss_G: 0.015855 Loss_D_real: -0.010792 Loss_D_fake 0.022152
[340/5000][300/535][34823] Loss_D: -0.030650 Loss_G: 0.031395 Loss_D_real: -0.033699 Loss_D_fake -0.003049
[340/5000][305/535][34824] Loss_D: -0.027977 Loss_G: 0.049936 Loss_D_real: -0.035172 Loss_D_fake -0.007195
[340/5000][310/535][34825] Loss_D: -0.030937 Loss_G: 0.000892 Loss_D_real: -0.009271 Loss_D_fake 0.021666
[340/5000][315/535][34826] Loss_D: -0.029322 Loss_G: 0.037139 Loss_D_real: -0.036417 Loss_D_fake -0.007096
[340/5000][320/535][34827] Loss_D: -0.030884 Loss_G: 0.019171 Loss_D_real: -0.018196 Loss_D_fake 0.012689
[340/5000][325/535][34828] Loss_D: -0.031100 Loss_G: 0.010999 Loss_D_real: -0.013621 Loss_D_fake 0.017479
[340/5000][330/535][34829] Loss_D: -0.029804 Loss_G: 0.031844 Loss_D_real: -0.034000 Loss_D_fake -0.004196
[340/5000][335/535][34830] Loss_D: -0.030808 Loss_G: 0.005016 Loss_D_real: -0.002294 Loss_D_fake 0.028514
[340/5000][340/535][34831] Loss_D: -0.029807 Loss_G: 0.019617 Loss_D_real: -0.030461 Loss_D_fake -0.000654
[340/5000][345/535][34832] Loss_D: -0.031090 Loss_G: 0.013783 Loss_D_real: -0.015667 Loss_D_fake 0.015424
[340/5000][350/535][34833] Loss_D: -0.031846 Loss_G: 0.023896 Loss_D_real: -0.015457 Loss_D_fake 0.016389
[340/5000][355/535][34834] Loss_D: -0.031538 Loss_G: 0.025248 Loss_D_real: -0.028415 Loss_D_fake 0.003123
[340/5000][360/535][34835] Loss_D: -0.030845 Loss_G: -0.009724 Loss_D_real: -0.007163 Loss_D_fake 0.023682
[340/5000][365/535][34836] Loss_D: -0.030265 Loss_G: 0.022053 Loss_D_real: -0.022695 Loss_D_fake 0.007569
[340/5000][370/535][34837] Loss_D: -0.030071 Loss_G: -0.000908 Loss_D_real: -0.013097 Loss_D_fake 0.016974
[340/5000][375/535][34838] Loss_D: -0.031852 Loss_G: 0.019283 Loss_D_real: -0.031628 Loss_D_fake 0.000223
[340/5000][380/535][34839] Loss_D: -0.031635 Loss_G: 0.024409 Loss_D_real: -0.025716 Loss_D_fake 0.005919
[340/5000][385/535][34840] Loss_D: -0.031477 Loss_G: 0.026384 Loss_D_real: -0.012808 Loss_D_fake 0.018669
[340/5000][390/535][34841] Loss_D: -0.029864 Loss_G: -0.012185 Loss_D_real: 0.003457 Loss_D_fake 0.033321
[340/5000][395/535][34842] Loss_D: -0.028544 Loss_G: 0.028120 Loss_D_real: -0.036258 Loss_D_fake -0.007714
[340/5000][400/535][34843] Loss_D: -0.030428 Loss_G: 0.002837 Loss_D_real: -0.005463 Loss_D_fake 0.024964
[340/5000][405/535][34844] Loss_D: -0.029778 Loss_G: 0.034301 Loss_D_real: -0.039575 Loss_D_fake -0.009797
[340/5000][410/535][34845] Loss_D: -0.030230 Loss_G: 0.000544 Loss_D_real: -0.002592 Loss_D_fake 0.027638
[340/5000][415/535][34846] Loss_D: -0.029748 Loss_G: 0.003341 Loss_D_real: -0.011526 Loss_D_fake 0.018222
[340/5000][420/535][34847] Loss_D: -0.031179 Loss_G: 0.028393 Loss_D_real: -0.035422 Loss_D_fake -0.004243
[340/5000][425/535][34848] Loss_D: -0.030872 Loss_G: 0.001427 Loss_D_real: -0.003574 Loss_D_fake 0.027298
[340/5000][430/535][34849] Loss_D: -0.030093 Loss_G: 0.029827 Loss_D_real: -0.034277 Loss_D_fake -0.004184
[340/5000][435/535][34850] Loss_D: -0.030423 Loss_G: -0.000635 Loss_D_real: -0.001016 Loss_D_fake 0.029406
[340/5000][440/535][34851] Loss_D: -0.029400 Loss_G: 0.024589 Loss_D_real: -0.026646 Loss_D_fake 0.002754
[340/5000][445/535][34852] Loss_D: -0.029313 Loss_G: -0.000576 Loss_D_real: -0.002692 Loss_D_fake 0.026620
[340/5000][450/535][34853] Loss_D: -0.030861 Loss_G: 0.015447 Loss_D_real: -0.019802 Loss_D_fake 0.011059
[340/5000][455/535][34854] Loss_D: -0.030903 Loss_G: 0.030059 Loss_D_real: -0.029692 Loss_D_fake 0.001211
[340/5000][460/535][34855] Loss_D: -0.031130 Loss_G: 0.019224 Loss_D_real: -0.021842 Loss_D_fake 0.009288
[340/5000][465/535][34856] Loss_D: -0.032496 Loss_G: 0.017885 Loss_D_real: -0.018644 Loss_D_fake 0.013852
[340/5000][470/535][34857] Loss_D: -0.030703 Loss_G: 0.024302 Loss_D_real: -0.025499 Loss_D_fake 0.005204
[340/5000][475/535][34858] Loss_D: -0.032016 Loss_G: 0.005498 Loss_D_real: -0.005594 Loss_D_fake 0.026422
[340/5000][480/535][34859] Loss_D: -0.031381 Loss_G: 0.018614 Loss_D_real: -0.028520 Loss_D_fake 0.002861
[340/5000][485/535][34860] Loss_D: -0.031579 Loss_G: 0.010403 Loss_D_real: -0.009387 Loss_D_fake 0.022192
[340/5000][490/535][34861] Loss_D: -0.030497 Loss_G: 0.004660 Loss_D_real: -0.008015 Loss_D_fake 0.022482
[340/5000][495/535][34862] Loss_D: -0.031073 Loss_G: 0.018035 Loss_D_real: -0.020158 Loss_D_fake 0.010916
[340/5000][500/535][34863] Loss_D: -0.032097 Loss_G: 0.017178 Loss_D_real: -0.022195 Loss_D_fake 0.009903
[340/5000][505/535][34864] Loss_D: -0.031577 Loss_G: 0.028484 Loss_D_real: -0.032112 Loss_D_fake -0.000535
[340/5000][510/535][34865] Loss_D: -0.030781 Loss_G: 0.011693 Loss_D_real: -0.008884 Loss_D_fake 0.021896
[340/5000][515/535][34866] Loss_D: -0.030809 Loss_G: 0.022634 Loss_D_real: -0.026014 Loss_D_fake 0.004795
[340/5000][520/535][34867] Loss_D: -0.031423 Loss_G: 0.019952 Loss_D_real: -0.019874 Loss_D_fake 0.011549
[340/5000][525/535][34868] Loss_D: -0.031235 Loss_G: -0.007901 Loss_D_real: -0.001172 Loss_D_fake 0.030064
[340/5000][530/535][34869] Loss_D: -0.029535 Loss_G: 0.031630 Loss_D_real: -0.033661 Loss_D_fake -0.004126
[340/5000][535/535][34870] Loss_D: -0.032622 Loss_G: 0.009758 Loss_D_real: -0.021709 Loss_D_fake 0.010912
[341/5000][5/535][34871] Loss_D: -0.031239 Loss_G: 0.013224 Loss_D_real: -0.022655 Loss_D_fake 0.008585
[341/5000][10/535][34872] Loss_D: -0.030185 Loss_G: 0.021278 Loss_D_real: -0.015945 Loss_D_fake 0.014240
[341/5000][15/535][34873] Loss_D: -0.032046 Loss_G: 0.015114 Loss_D_real: -0.022727 Loss_D_fake 0.009319
[341/5000][20/535][34874] Loss_D: -0.030065 Loss_G: 0.037998 Loss_D_real: -0.029031 Loss_D_fake 0.001035
[341/5000][25/535][34875] Loss_D: -0.030651 Loss_G: 0.002540 Loss_D_real: -0.004706 Loss_D_fake 0.025945
[341/5000][30/535][34876] Loss_D: -0.030865 Loss_G: -0.004714 Loss_D_real: -0.005460 Loss_D_fake 0.025405
[341/5000][35/535][34877] Loss_D: -0.030141 Loss_G: 0.034176 Loss_D_real: -0.035422 Loss_D_fake -0.005280
[341/5000][40/535][34878] Loss_D: -0.029934 Loss_G: -0.001930 Loss_D_real: 0.001673 Loss_D_fake 0.031607
[341/5000][45/535][34879] Loss_D: -0.029860 Loss_G: 0.015823 Loss_D_real: -0.017366 Loss_D_fake 0.012494
[341/5000][50/535][34880] Loss_D: -0.028326 Loss_G: -0.013247 Loss_D_real: 0.000981 Loss_D_fake 0.029307
[341/5000][55/535][34881] Loss_D: -0.029627 Loss_G: 0.025988 Loss_D_real: -0.035055 Loss_D_fake -0.005428
[341/5000][60/535][34882] Loss_D: -0.031466 Loss_G: 0.013224 Loss_D_real: -0.024828 Loss_D_fake 0.006638
[341/5000][65/535][34883] Loss_D: -0.031817 Loss_G: 0.020922 Loss_D_real: -0.016898 Loss_D_fake 0.014919
[341/5000][70/535][34884] Loss_D: -0.031042 Loss_G: 0.016908 Loss_D_real: -0.015089 Loss_D_fake 0.015952
[341/5000][75/535][34885] Loss_D: -0.031538 Loss_G: 0.006542 Loss_D_real: -0.004770 Loss_D_fake 0.026769
[341/5000][80/535][34886] Loss_D: -0.029350 Loss_G: 0.034183 Loss_D_real: -0.027846 Loss_D_fake 0.001505
[341/5000][85/535][34887] Loss_D: -0.030488 Loss_G: 0.013993 Loss_D_real: -0.021730 Loss_D_fake 0.008757
[341/5000][90/535][34888] Loss_D: -0.030344 Loss_G: 0.004476 Loss_D_real: -0.006492 Loss_D_fake 0.023852
[341/5000][95/535][34889] Loss_D: -0.030619 Loss_G: -0.004044 Loss_D_real: 0.001569 Loss_D_fake 0.032188
[341/5000][100/535][34890] Loss_D: -0.030716 Loss_G: 0.026815 Loss_D_real: -0.024869 Loss_D_fake 0.005847
[341/5000][105/535][34891] Loss_D: -0.029779 Loss_G: -0.013011 Loss_D_real: -0.001647 Loss_D_fake 0.028132
[341/5000][110/535][34892] Loss_D: -0.029805 Loss_G: 0.028549 Loss_D_real: -0.020820 Loss_D_fake 0.008985
[341/5000][115/535][34893] Loss_D: -0.030719 Loss_G: 0.002935 Loss_D_real: -0.021975 Loss_D_fake 0.008744
[341/5000][120/535][34894] Loss_D: -0.030535 Loss_G: 0.025195 Loss_D_real: -0.019215 Loss_D_fake 0.011320
[341/5000][125/535][34895] Loss_D: -0.032998 Loss_G: 0.016373 Loss_D_real: -0.025892 Loss_D_fake 0.007105
[341/5000][130/535][34896] Loss_D: -0.030325 Loss_G: -0.001212 Loss_D_real: -0.004243 Loss_D_fake 0.026082
[341/5000][135/535][34897] Loss_D: -0.029090 Loss_G: 0.019473 Loss_D_real: -0.025230 Loss_D_fake 0.003860
[341/5000][140/535][34898] Loss_D: -0.031968 Loss_G: 0.019084 Loss_D_real: -0.022062 Loss_D_fake 0.009905
[341/5000][145/535][34899] Loss_D: -0.030660 Loss_G: 0.035584 Loss_D_real: -0.026629 Loss_D_fake 0.004031
[341/5000][150/535][34900] Loss_D: -0.029143 Loss_G: -0.010319 Loss_D_real: -0.000694 Loss_D_fake 0.028449
[341/5000][155/535][34901] Loss_D: -0.028403 Loss_G: 0.020945 Loss_D_real: -0.022984 Loss_D_fake 0.005419
[341/5000][160/535][34902] Loss_D: -0.030555 Loss_G: 0.021596 Loss_D_real: -0.022621 Loss_D_fake 0.007934
[341/5000][165/535][34903] Loss_D: -0.031029 Loss_G: 0.035176 Loss_D_real: -0.033157 Loss_D_fake -0.002128
[341/5000][170/535][34904] Loss_D: -0.030260 Loss_G: 0.004813 Loss_D_real: -0.011841 Loss_D_fake 0.018418
[341/5000][175/535][34905] Loss_D: -0.029529 Loss_G: 0.028355 Loss_D_real: -0.030908 Loss_D_fake -0.001379
[341/5000][180/535][34906] Loss_D: -0.029992 Loss_G: 0.020923 Loss_D_real: -0.024102 Loss_D_fake 0.005890
[341/5000][185/535][34907] Loss_D: -0.032498 Loss_G: 0.009486 Loss_D_real: -0.022603 Loss_D_fake 0.009895
[341/5000][190/535][34908] Loss_D: -0.030464 Loss_G: 0.028012 Loss_D_real: -0.026056 Loss_D_fake 0.004409
[341/5000][195/535][34909] Loss_D: -0.030562 Loss_G: 0.025543 Loss_D_real: -0.018221 Loss_D_fake 0.012341
[341/5000][200/535][34910] Loss_D: -0.031899 Loss_G: 0.029609 Loss_D_real: -0.018667 Loss_D_fake 0.013232
[341/5000][205/535][34911] Loss_D: -0.030297 Loss_G: 0.038324 Loss_D_real: -0.030557 Loss_D_fake -0.000260
[341/5000][210/535][34912] Loss_D: -0.030684 Loss_G: -0.012250 Loss_D_real: -0.004263 Loss_D_fake 0.026421
[341/5000][215/535][34913] Loss_D: -0.030721 Loss_G: 0.012091 Loss_D_real: -0.023811 Loss_D_fake 0.006910
[341/5000][220/535][34914] Loss_D: -0.029947 Loss_G: -0.011732 Loss_D_real: -0.009093 Loss_D_fake 0.020854
[341/5000][225/535][34915] Loss_D: -0.028599 Loss_G: 0.027518 Loss_D_real: -0.034708 Loss_D_fake -0.006109
[341/5000][230/535][34916] Loss_D: -0.028930 Loss_G: -0.005261 Loss_D_real: 0.002024 Loss_D_fake 0.030954
[341/5000][235/535][34917] Loss_D: -0.031260 Loss_G: 0.008902 Loss_D_real: -0.018975 Loss_D_fake 0.012285
[341/5000][240/535][34918] Loss_D: -0.030620 Loss_G: 0.015655 Loss_D_real: -0.012278 Loss_D_fake 0.018341
[341/5000][245/535][34919] Loss_D: -0.031263 Loss_G: 0.037063 Loss_D_real: -0.035897 Loss_D_fake -0.004634
[341/5000][250/535][34920] Loss_D: -0.031107 Loss_G: -0.003166 Loss_D_real: -0.012010 Loss_D_fake 0.019097
[341/5000][255/535][34921] Loss_D: -0.030889 Loss_G: 0.010701 Loss_D_real: -0.019779 Loss_D_fake 0.011110
[341/5000][260/535][34922] Loss_D: -0.032617 Loss_G: 0.014863 Loss_D_real: -0.015539 Loss_D_fake 0.017078
[341/5000][265/535][34923] Loss_D: -0.031108 Loss_G: 0.006649 Loss_D_real: -0.015718 Loss_D_fake 0.015390
[341/5000][270/535][34924] Loss_D: -0.030980 Loss_G: 0.028672 Loss_D_real: -0.030862 Loss_D_fake 0.000117
[341/5000][275/535][34925] Loss_D: -0.031545 Loss_G: -0.000186 Loss_D_real: -0.012255 Loss_D_fake 0.019290
[341/5000][280/535][34926] Loss_D: -0.032324 Loss_G: 0.027170 Loss_D_real: -0.022781 Loss_D_fake 0.009543
[341/5000][285/535][34927] Loss_D: -0.029374 Loss_G: -0.015443 Loss_D_real: 0.005077 Loss_D_fake 0.034451
[341/5000][290/535][34928] Loss_D: -0.028708 Loss_G: 0.029881 Loss_D_real: -0.027707 Loss_D_fake 0.001001
[341/5000][295/535][34929] Loss_D: -0.031615 Loss_G: 0.011999 Loss_D_real: -0.024479 Loss_D_fake 0.007136
[341/5000][300/535][34930] Loss_D: -0.032047 Loss_G: 0.028504 Loss_D_real: -0.022612 Loss_D_fake 0.009435
[341/5000][305/535][34931] Loss_D: -0.031301 Loss_G: -0.000623 Loss_D_real: -0.008911 Loss_D_fake 0.022389
[341/5000][310/535][34932] Loss_D: -0.030606 Loss_G: 0.010905 Loss_D_real: -0.024371 Loss_D_fake 0.006235
[341/5000][315/535][34933] Loss_D: -0.032916 Loss_G: 0.015518 Loss_D_real: -0.016688 Loss_D_fake 0.016228
[341/5000][320/535][34934] Loss_D: -0.029882 Loss_G: 0.017770 Loss_D_real: -0.016017 Loss_D_fake 0.013865
[341/5000][325/535][34935] Loss_D: -0.030071 Loss_G: 0.016132 Loss_D_real: -0.012749 Loss_D_fake 0.017322
[341/5000][330/535][34936] Loss_D: -0.030199 Loss_G: 0.011233 Loss_D_real: -0.011940 Loss_D_fake 0.018259
[341/5000][335/535][34937] Loss_D: -0.029662 Loss_G: 0.008434 Loss_D_real: -0.010117 Loss_D_fake 0.019545
[341/5000][340/535][34938] Loss_D: -0.029431 Loss_G: 0.032753 Loss_D_real: -0.033781 Loss_D_fake -0.004351
[341/5000][345/535][34939] Loss_D: -0.031045 Loss_G: -0.007833 Loss_D_real: -0.007846 Loss_D_fake 0.023199
[341/5000][350/535][34940] Loss_D: -0.030342 Loss_G: 0.033750 Loss_D_real: -0.024818 Loss_D_fake 0.005523
[341/5000][355/535][34941] Loss_D: -0.029316 Loss_G: -0.014908 Loss_D_real: 0.008065 Loss_D_fake 0.037381
[341/5000][360/535][34942] Loss_D: -0.029042 Loss_G: 0.020885 Loss_D_real: -0.022894 Loss_D_fake 0.006148
[341/5000][365/535][34943] Loss_D: -0.030104 Loss_G: 0.018866 Loss_D_real: -0.019333 Loss_D_fake 0.010771
[341/5000][370/535][34944] Loss_D: -0.031691 Loss_G: 0.023436 Loss_D_real: -0.016359 Loss_D_fake 0.015333
[341/5000][375/535][34945] Loss_D: -0.031295 Loss_G: 0.034326 Loss_D_real: -0.025204 Loss_D_fake 0.006091
[341/5000][380/535][34946] Loss_D: -0.029683 Loss_G: -0.011091 Loss_D_real: 0.002990 Loss_D_fake 0.032672
[341/5000][385/535][34947] Loss_D: -0.029798 Loss_G: 0.017120 Loss_D_real: -0.023432 Loss_D_fake 0.006366
[341/5000][390/535][34948] Loss_D: -0.029916 Loss_G: 0.034316 Loss_D_real: -0.036651 Loss_D_fake -0.006736
[341/5000][395/535][34949] Loss_D: -0.031628 Loss_G: 0.011039 Loss_D_real: -0.016770 Loss_D_fake 0.014859
[341/5000][400/535][34950] Loss_D: -0.031597 Loss_G: -0.005433 Loss_D_real: -0.009108 Loss_D_fake 0.022489
[341/5000][405/535][34951] Loss_D: -0.029274 Loss_G: 0.038840 Loss_D_real: -0.031896 Loss_D_fake -0.002622
[341/5000][410/535][34952] Loss_D: -0.030538 Loss_G: 0.011883 Loss_D_real: -0.012763 Loss_D_fake 0.017775
[341/5000][415/535][34953] Loss_D: -0.029765 Loss_G: 0.036006 Loss_D_real: -0.031126 Loss_D_fake -0.001361
[341/5000][420/535][34954] Loss_D: -0.031378 Loss_G: 0.024893 Loss_D_real: -0.027890 Loss_D_fake 0.003488
[341/5000][425/535][34955] Loss_D: -0.031284 Loss_G: 0.023353 Loss_D_real: -0.024475 Loss_D_fake 0.006809
[341/5000][430/535][34956] Loss_D: -0.029778 Loss_G: 0.010042 Loss_D_real: -0.014217 Loss_D_fake 0.015562
[341/5000][435/535][34957] Loss_D: -0.030818 Loss_G: 0.024813 Loss_D_real: -0.025051 Loss_D_fake 0.005767
[341/5000][440/535][34958] Loss_D: -0.030751 Loss_G: -0.007459 Loss_D_real: -0.006730 Loss_D_fake 0.024021
[341/5000][445/535][34959] Loss_D: -0.030445 Loss_G: 0.013974 Loss_D_real: -0.017446 Loss_D_fake 0.012999
[341/5000][450/535][34960] Loss_D: -0.032174 Loss_G: 0.013537 Loss_D_real: -0.019234 Loss_D_fake 0.012940
[341/5000][455/535][34961] Loss_D: -0.031325 Loss_G: 0.023374 Loss_D_real: -0.023344 Loss_D_fake 0.007980
[341/5000][460/535][34962] Loss_D: -0.030281 Loss_G: 0.013506 Loss_D_real: -0.008908 Loss_D_fake 0.021373
[341/5000][465/535][34963] Loss_D: -0.030908 Loss_G: 0.029157 Loss_D_real: -0.028975 Loss_D_fake 0.001933
[341/5000][470/535][34964] Loss_D: -0.030049 Loss_G: -0.011291 Loss_D_real: -0.004985 Loss_D_fake 0.025064
[341/5000][475/535][34965] Loss_D: -0.029609 Loss_G: 0.015152 Loss_D_real: -0.017775 Loss_D_fake 0.011835
[341/5000][480/535][34966] Loss_D: -0.030798 Loss_G: 0.017281 Loss_D_real: -0.019386 Loss_D_fake 0.011412
[341/5000][485/535][34967] Loss_D: -0.030308 Loss_G: 0.004879 Loss_D_real: -0.013968 Loss_D_fake 0.016340
[341/5000][490/535][34968] Loss_D: -0.027841 Loss_G: 0.042454 Loss_D_real: -0.034998 Loss_D_fake -0.007158
[341/5000][495/535][34969] Loss_D: -0.031409 Loss_G: -0.018834 Loss_D_real: -0.000710 Loss_D_fake 0.030699
[341/5000][500/535][34970] Loss_D: -0.029528 Loss_G: 0.017749 Loss_D_real: -0.020234 Loss_D_fake 0.009294
[341/5000][505/535][34971] Loss_D: -0.030881 Loss_G: 0.033747 Loss_D_real: -0.028152 Loss_D_fake 0.002729
[341/5000][510/535][34972] Loss_D: -0.031357 Loss_G: 0.004019 Loss_D_real: -0.010173 Loss_D_fake 0.021185
[341/5000][515/535][34973] Loss_D: -0.028576 Loss_G: 0.005359 Loss_D_real: -0.014854 Loss_D_fake 0.013722
[341/5000][520/535][34974] Loss_D: -0.031434 Loss_G: 0.023680 Loss_D_real: -0.019858 Loss_D_fake 0.011576
[341/5000][525/535][34975] Loss_D: -0.030710 Loss_G: 0.011308 Loss_D_real: -0.014855 Loss_D_fake 0.015855
[341/5000][530/535][34976] Loss_D: -0.031255 Loss_G: 0.008290 Loss_D_real: -0.015784 Loss_D_fake 0.015472
[341/5000][535/535][34977] Loss_D: -0.030753 Loss_G: 0.026609 Loss_D_real: -0.028009 Loss_D_fake 0.002744
[342/5000][5/535][34978] Loss_D: -0.030187 Loss_G: 0.024238 Loss_D_real: -0.033099 Loss_D_fake -0.002912
[342/5000][10/535][34979] Loss_D: -0.030310 Loss_G: 0.011168 Loss_D_real: -0.013563 Loss_D_fake 0.016747
[342/5000][15/535][34980] Loss_D: -0.031081 Loss_G: 0.017810 Loss_D_real: -0.016380 Loss_D_fake 0.014702
[342/5000][20/535][34981] Loss_D: -0.030296 Loss_G: -0.003016 Loss_D_real: -0.012217 Loss_D_fake 0.018079
[342/5000][25/535][34982] Loss_D: -0.032021 Loss_G: 0.025306 Loss_D_real: -0.021122 Loss_D_fake 0.010898
[342/5000][30/535][34983] Loss_D: -0.031426 Loss_G: 0.005670 Loss_D_real: -0.006877 Loss_D_fake 0.024549
[342/5000][35/535][34984] Loss_D: -0.029383 Loss_G: 0.038876 Loss_D_real: -0.038446 Loss_D_fake -0.009062
[342/5000][40/535][34985] Loss_D: -0.031990 Loss_G: 0.036773 Loss_D_real: -0.032241 Loss_D_fake -0.000251
[342/5000][45/535][34986] Loss_D: -0.030891 Loss_G: 0.035073 Loss_D_real: -0.029383 Loss_D_fake 0.001508
[342/5000][50/535][34987] Loss_D: -0.029861 Loss_G: -0.003726 Loss_D_real: -0.002155 Loss_D_fake 0.027706
[342/5000][55/535][34988] Loss_D: -0.028123 Loss_G: 0.011976 Loss_D_real: -0.018905 Loss_D_fake 0.009219
[342/5000][60/535][34989] Loss_D: -0.030825 Loss_G: 0.019010 Loss_D_real: -0.026697 Loss_D_fake 0.004128
[342/5000][65/535][34990] Loss_D: -0.030338 Loss_G: 0.003460 Loss_D_real: -0.014493 Loss_D_fake 0.015845
[342/5000][70/535][34991] Loss_D: -0.029470 Loss_G: 0.033014 Loss_D_real: -0.036328 Loss_D_fake -0.006858
[342/5000][75/535][34992] Loss_D: -0.031795 Loss_G: 0.023345 Loss_D_real: -0.023880 Loss_D_fake 0.007915
[342/5000][80/535][34993] Loss_D: -0.030810 Loss_G: 0.012242 Loss_D_real: -0.016098 Loss_D_fake 0.014711
[342/5000][85/535][34994] Loss_D: -0.029505 Loss_G: 0.014286 Loss_D_real: -0.019283 Loss_D_fake 0.010222
[342/5000][90/535][34995] Loss_D: -0.030455 Loss_G: 0.009125 Loss_D_real: -0.015601 Loss_D_fake 0.014854
[342/5000][95/535][34996] Loss_D: -0.030356 Loss_G: 0.023266 Loss_D_real: -0.024564 Loss_D_fake 0.005791
[342/5000][100/535][34997] Loss_D: -0.030934 Loss_G: 0.007056 Loss_D_real: -0.001891 Loss_D_fake 0.029043
[342/5000][105/535][34998] Loss_D: -0.029582 Loss_G: 0.027582 Loss_D_real: -0.030337 Loss_D_fake -0.000755
[342/5000][110/535][34999] Loss_D: -0.030495 Loss_G: 0.026411 Loss_D_real: -0.030184 Loss_D_fake 0.000311
[342/5000][115/535][35000] Loss_D: -0.028357 Loss_G: 0.036015 Loss_D_real: -0.034128 Loss_D_fake -0.005771
[342/5000][215/535][35001] Loss_D: -0.032399 Loss_G: -0.000546 Loss_D_real: -0.003316 Loss_D_fake 0.029083
[342/5000][220/535][35002] Loss_D: -0.030286 Loss_G: 0.022525 Loss_D_real: -0.021435 Loss_D_fake 0.008851
[342/5000][225/535][35003] Loss_D: -0.028623 Loss_G: 0.015387 Loss_D_real: -0.025133 Loss_D_fake 0.003490
[342/5000][230/535][35004] Loss_D: -0.028980 Loss_G: 0.030032 Loss_D_real: -0.028329 Loss_D_fake 0.000651
[342/5000][235/535][35005] Loss_D: -0.029791 Loss_G: 0.000774 Loss_D_real: -0.002316 Loss_D_fake 0.027475
[342/5000][240/535][35006] Loss_D: -0.029573 Loss_G: 0.029566 Loss_D_real: -0.028174 Loss_D_fake 0.001398
[342/5000][245/535][35007] Loss_D: -0.030611 Loss_G: 0.024687 Loss_D_real: -0.026858 Loss_D_fake 0.003753
[342/5000][250/535][35008] Loss_D: -0.030130 Loss_G: -0.000551 Loss_D_real: -0.010583 Loss_D_fake 0.019547
[342/5000][255/535][35009] Loss_D: -0.030538 Loss_G: 0.030277 Loss_D_real: -0.036504 Loss_D_fake -0.005966
[342/5000][260/535][35010] Loss_D: -0.030625 Loss_G: 0.021605 Loss_D_real: -0.018966 Loss_D_fake 0.011659
[342/5000][265/535][35011] Loss_D: -0.030247 Loss_G: 0.026900 Loss_D_real: -0.032704 Loss_D_fake -0.002456
[342/5000][270/535][35012] Loss_D: -0.029465 Loss_G: -0.000312 Loss_D_real: -0.010302 Loss_D_fake 0.019163
[342/5000][275/535][35013] Loss_D: -0.030134 Loss_G: 0.007790 Loss_D_real: -0.019245 Loss_D_fake 0.010888
[342/5000][280/535][35014] Loss_D: -0.029695 Loss_G: -0.004462 Loss_D_real: 0.001790 Loss_D_fake 0.031485
[342/5000][285/535][35015] Loss_D: -0.027461 Loss_G: 0.035645 Loss_D_real: -0.034356 Loss_D_fake -0.006895
[342/5000][290/535][35016] Loss_D: -0.030787 Loss_G: 0.010584 Loss_D_real: -0.014948 Loss_D_fake 0.015839
[342/5000][295/535][35017] Loss_D: -0.031161 Loss_G: 0.013202 Loss_D_real: -0.025505 Loss_D_fake 0.005656
[342/5000][300/535][35018] Loss_D: -0.032080 Loss_G: 0.000266 Loss_D_real: -0.018354 Loss_D_fake 0.013726
[342/5000][305/535][35019] Loss_D: -0.031710 Loss_G: 0.020042 Loss_D_real: -0.021492 Loss_D_fake 0.010218
[342/5000][310/535][35020] Loss_D: -0.030461 Loss_G: 0.031679 Loss_D_real: -0.026600 Loss_D_fake 0.003861
[342/5000][315/535][35021] Loss_D: -0.030241 Loss_G: 0.001687 Loss_D_real: -0.006187 Loss_D_fake 0.024054
[342/5000][320/535][35022] Loss_D: -0.029626 Loss_G: 0.027935 Loss_D_real: -0.036876 Loss_D_fake -0.007250
[342/5000][325/535][35023] Loss_D: -0.031262 Loss_G: -0.000097 Loss_D_real: -0.012490 Loss_D_fake 0.018772
[342/5000][330/535][35024] Loss_D: -0.030453 Loss_G: 0.020395 Loss_D_real: -0.031384 Loss_D_fake -0.000931
[342/5000][335/535][35025] Loss_D: -0.030884 Loss_G: 0.022667 Loss_D_real: -0.026508 Loss_D_fake 0.004376
[342/5000][340/535][35026] Loss_D: -0.031394 Loss_G: 0.009282 Loss_D_real: -0.016300 Loss_D_fake 0.015095
[342/5000][345/535][35027] Loss_D: -0.031640 Loss_G: -0.003682 Loss_D_real: -0.016251 Loss_D_fake 0.015389
[342/5000][350/535][35028] Loss_D: -0.030463 Loss_G: 0.020516 Loss_D_real: -0.027778 Loss_D_fake 0.002685
[342/5000][355/535][35029] Loss_D: -0.031061 Loss_G: 0.017369 Loss_D_real: -0.007549 Loss_D_fake 0.023512
[342/5000][360/535][35030] Loss_D: -0.030755 Loss_G: -0.004912 Loss_D_real: -0.013238 Loss_D_fake 0.017517
[342/5000][365/535][35031] Loss_D: -0.030351 Loss_G: 0.032857 Loss_D_real: -0.028608 Loss_D_fake 0.001744
[342/5000][370/535][35032] Loss_D: -0.030200 Loss_G: -0.006931 Loss_D_real: -0.006497 Loss_D_fake 0.023703
[342/5000][375/535][35033] Loss_D: -0.030620 Loss_G: 0.028015 Loss_D_real: -0.036271 Loss_D_fake -0.005651
[342/5000][380/535][35034] Loss_D: -0.030454 Loss_G: 0.019580 Loss_D_real: -0.012857 Loss_D_fake 0.017597
[342/5000][385/535][35035] Loss_D: -0.029966 Loss_G: 0.031346 Loss_D_real: -0.034768 Loss_D_fake -0.004802
[342/5000][390/535][35036] Loss_D: -0.029578 Loss_G: 0.001185 Loss_D_real: 0.000916 Loss_D_fake 0.030494
[342/5000][395/535][35037] Loss_D: -0.029995 Loss_G: 0.017218 Loss_D_real: -0.013603 Loss_D_fake 0.016392
[342/5000][400/535][35038] Loss_D: -0.027982 Loss_G: -0.010913 Loss_D_real: -0.003736 Loss_D_fake 0.024245
[342/5000][405/535][35039] Loss_D: -0.030000 Loss_G: 0.022905 Loss_D_real: -0.022594 Loss_D_fake 0.007406
[342/5000][410/535][35040] Loss_D: -0.029882 Loss_G: -0.000823 Loss_D_real: 0.004851 Loss_D_fake 0.034734
[342/5000][415/535][35041] Loss_D: -0.029478 Loss_G: 0.018758 Loss_D_real: -0.031185 Loss_D_fake -0.001707
[342/5000][420/535][35042] Loss_D: -0.030576 Loss_G: 0.021068 Loss_D_real: -0.018373 Loss_D_fake 0.012202
[342/5000][425/535][35043] Loss_D: -0.031688 Loss_G: 0.010298 Loss_D_real: -0.017524 Loss_D_fake 0.014163
[342/5000][430/535][35044] Loss_D: -0.031447 Loss_G: 0.005919 Loss_D_real: -0.013637 Loss_D_fake 0.017810
[342/5000][435/535][35045] Loss_D: -0.029530 Loss_G: 0.031405 Loss_D_real: -0.033163 Loss_D_fake -0.003632
[342/5000][440/535][35046] Loss_D: -0.030220 Loss_G: 0.008811 Loss_D_real: -0.016784 Loss_D_fake 0.013436
[342/5000][445/535][35047] Loss_D: -0.031206 Loss_G: 0.008487 Loss_D_real: -0.014930 Loss_D_fake 0.016276
[342/5000][450/535][35048] Loss_D: -0.031352 Loss_G: 0.007712 Loss_D_real: -0.015682 Loss_D_fake 0.015670
[342/5000][455/535][35049] Loss_D: -0.030373 Loss_G: 0.009550 Loss_D_real: -0.003026 Loss_D_fake 0.027347
[342/5000][460/535][35050] Loss_D: -0.030063 Loss_G: 0.013358 Loss_D_real: -0.025984 Loss_D_fake 0.004078
[342/5000][465/535][35051] Loss_D: -0.028320 Loss_G: 0.048921 Loss_D_real: -0.044411 Loss_D_fake -0.016091
[342/5000][470/535][35052] Loss_D: -0.030665 Loss_G: 0.016535 Loss_D_real: -0.021693 Loss_D_fake 0.008973
[342/5000][475/535][35053] Loss_D: -0.030534 Loss_G: 0.002534 Loss_D_real: -0.014380 Loss_D_fake 0.016155
[342/5000][480/535][35054] Loss_D: -0.028975 Loss_G: 0.028057 Loss_D_real: -0.038415 Loss_D_fake -0.009439
[342/5000][485/535][35055] Loss_D: -0.031004 Loss_G: 0.010017 Loss_D_real: -0.016718 Loss_D_fake 0.014285
[342/5000][490/535][35056] Loss_D: -0.030814 Loss_G: -0.002283 Loss_D_real: -0.001550 Loss_D_fake 0.029264
[342/5000][495/535][35057] Loss_D: -0.029635 Loss_G: 0.008543 Loss_D_real: -0.010009 Loss_D_fake 0.019626
[342/5000][500/535][35058] Loss_D: -0.030583 Loss_G: 0.004980 Loss_D_real: -0.010484 Loss_D_fake 0.020099
[342/5000][505/535][35059] Loss_D: -0.031012 Loss_G: 0.010472 Loss_D_real: -0.016211 Loss_D_fake 0.014801
[342/5000][510/535][35060] Loss_D: -0.029453 Loss_G: 0.036187 Loss_D_real: -0.035834 Loss_D_fake -0.006381
[342/5000][515/535][35061] Loss_D: -0.029829 Loss_G: 0.032493 Loss_D_real: -0.036235 Loss_D_fake -0.006407
[342/5000][520/535][35062] Loss_D: -0.032356 Loss_G: 0.010046 Loss_D_real: -0.012832 Loss_D_fake 0.019523
[342/5000][525/535][35063] Loss_D: -0.030892 Loss_G: 0.018584 Loss_D_real: -0.022129 Loss_D_fake 0.008762
[342/5000][530/535][35064] Loss_D: -0.030880 Loss_G: 0.002755 Loss_D_real: -0.004647 Loss_D_fake 0.026233
[342/5000][535/535][35065] Loss_D: -0.032189 Loss_G: 0.029888 Loss_D_real: -0.017009 Loss_D_fake 0.015180
[343/5000][5/535][35066] Loss_D: -0.031258 Loss_G: 0.027864 Loss_D_real: -0.031077 Loss_D_fake 0.000181
[343/5000][10/535][35067] Loss_D: -0.031233 Loss_G: 0.023596 Loss_D_real: -0.023949 Loss_D_fake 0.007284
[343/5000][15/535][35068] Loss_D: -0.032042 Loss_G: 0.003969 Loss_D_real: -0.014569 Loss_D_fake 0.017473
[343/5000][20/535][35069] Loss_D: -0.030119 Loss_G: 0.008931 Loss_D_real: -0.018042 Loss_D_fake 0.012077
[343/5000][25/535][35070] Loss_D: -0.031439 Loss_G: 0.011639 Loss_D_real: -0.024769 Loss_D_fake 0.006670
[343/5000][30/535][35071] Loss_D: -0.029946 Loss_G: 0.046333 Loss_D_real: -0.037803 Loss_D_fake -0.007857
[343/5000][35/535][35072] Loss_D: -0.030806 Loss_G: -0.012926 Loss_D_real: -0.001298 Loss_D_fake 0.029508
[343/5000][40/535][35073] Loss_D: -0.030070 Loss_G: 0.011810 Loss_D_real: -0.015780 Loss_D_fake 0.014290
[343/5000][45/535][35074] Loss_D: -0.029087 Loss_G: -0.006960 Loss_D_real: -0.003285 Loss_D_fake 0.025803
[343/5000][50/535][35075] Loss_D: -0.030748 Loss_G: 0.014167 Loss_D_real: -0.017336 Loss_D_fake 0.013413
[343/5000][55/535][35076] Loss_D: -0.030068 Loss_G: 0.016487 Loss_D_real: -0.025696 Loss_D_fake 0.004372
[343/5000][60/535][35077] Loss_D: -0.028458 Loss_G: 0.030272 Loss_D_real: -0.033179 Loss_D_fake -0.004722
[343/5000][65/535][35078] Loss_D: -0.029863 Loss_G: -0.000273 Loss_D_real: -0.004900 Loss_D_fake 0.024963
[343/5000][70/535][35079] Loss_D: -0.030107 Loss_G: 0.012347 Loss_D_real: -0.012999 Loss_D_fake 0.017108
[343/5000][75/535][35080] Loss_D: -0.030356 Loss_G: 0.028756 Loss_D_real: -0.032453 Loss_D_fake -0.002097
[343/5000][80/535][35081] Loss_D: -0.030344 Loss_G: 0.004731 Loss_D_real: -0.015249 Loss_D_fake 0.015095
[343/5000][85/535][35082] Loss_D: -0.031639 Loss_G: 0.017788 Loss_D_real: -0.019200 Loss_D_fake 0.012439
[343/5000][90/535][35083] Loss_D: -0.030585 Loss_G: 0.026784 Loss_D_real: -0.036314 Loss_D_fake -0.005729
[343/5000][95/535][35084] Loss_D: -0.030294 Loss_G: 0.015853 Loss_D_real: -0.014282 Loss_D_fake 0.016013
[343/5000][100/535][35085] Loss_D: -0.029838 Loss_G: 0.033252 Loss_D_real: -0.033659 Loss_D_fake -0.003822
[343/5000][105/535][35086] Loss_D: -0.030756 Loss_G: 0.010629 Loss_D_real: -0.012064 Loss_D_fake 0.018692
[343/5000][110/535][35087] Loss_D: -0.029571 Loss_G: 0.028122 Loss_D_real: -0.041866 Loss_D_fake -0.012294
[343/5000][115/535][35088] Loss_D: -0.029517 Loss_G: 0.019416 Loss_D_real: -0.026223 Loss_D_fake 0.003294
[343/5000][120/535][35089] Loss_D: -0.030830 Loss_G: 0.037305 Loss_D_real: -0.033566 Loss_D_fake -0.002736
[343/5000][125/535][35090] Loss_D: -0.028926 Loss_G: 0.009892 Loss_D_real: -0.012168 Loss_D_fake 0.016758
[343/5000][130/535][35091] Loss_D: -0.031577 Loss_G: 0.009492 Loss_D_real: -0.016904 Loss_D_fake 0.014673
[343/5000][135/535][35092] Loss_D: -0.031683 Loss_G: 0.015309 Loss_D_real: -0.028097 Loss_D_fake 0.003586
[343/5000][140/535][35093] Loss_D: -0.033929 Loss_G: 0.016346 Loss_D_real: -0.018752 Loss_D_fake 0.015177
[343/5000][145/535][35094] Loss_D: -0.033057 Loss_G: 0.007869 Loss_D_real: -0.009011 Loss_D_fake 0.024046
[343/5000][150/535][35095] Loss_D: -0.029235 Loss_G: -0.008881 Loss_D_real: -0.003620 Loss_D_fake 0.025615
[343/5000][155/535][35096] Loss_D: -0.028860 Loss_G: 0.049269 Loss_D_real: -0.035727 Loss_D_fake -0.006867
[343/5000][160/535][35097] Loss_D: -0.030355 Loss_G: 0.012880 Loss_D_real: -0.014038 Loss_D_fake 0.016317
[343/5000][165/535][35098] Loss_D: -0.030429 Loss_G: 0.013475 Loss_D_real: -0.018447 Loss_D_fake 0.011982
[343/5000][170/535][35099] Loss_D: -0.029661 Loss_G: 0.003834 Loss_D_real: -0.002953 Loss_D_fake 0.026707
[343/5000][175/535][35100] Loss_D: -0.029157 Loss_G: 0.006851 Loss_D_real: -0.012013 Loss_D_fake 0.017144
[343/5000][180/535][35101] Loss_D: -0.029166 Loss_G: -0.000119 Loss_D_real: -0.008379 Loss_D_fake 0.020786
[343/5000][185/535][35102] Loss_D: -0.030235 Loss_G: 0.007160 Loss_D_real: -0.015403 Loss_D_fake 0.014832
[343/5000][190/535][35103] Loss_D: -0.029953 Loss_G: -0.001437 Loss_D_real: -0.010531 Loss_D_fake 0.019422
[343/5000][195/535][35104] Loss_D: -0.031455 Loss_G: 0.025685 Loss_D_real: -0.027156 Loss_D_fake 0.004298
[343/5000][200/535][35105] Loss_D: -0.032371 Loss_G: 0.032749 Loss_D_real: -0.026122 Loss_D_fake 0.006249
[343/5000][205/535][35106] Loss_D: -0.030469 Loss_G: 0.019379 Loss_D_real: -0.027185 Loss_D_fake 0.003284
[343/5000][210/535][35107] Loss_D: -0.031432 Loss_G: 0.025595 Loss_D_real: -0.020896 Loss_D_fake 0.010536
[343/5000][215/535][35108] Loss_D: -0.031048 Loss_G: 0.000292 Loss_D_real: -0.001446 Loss_D_fake 0.029601
[343/5000][220/535][35109] Loss_D: -0.029943 Loss_G: 0.012226 Loss_D_real: -0.029670 Loss_D_fake 0.000273
[343/5000][225/535][35110] Loss_D: -0.031130 Loss_G: 0.021540 Loss_D_real: -0.025304 Loss_D_fake 0.005826
[343/5000][230/535][35111] Loss_D: -0.030692 Loss_G: 0.020011 Loss_D_real: -0.020009 Loss_D_fake 0.010684
[343/5000][235/535][35112] Loss_D: -0.030035 Loss_G: 0.018831 Loss_D_real: -0.027314 Loss_D_fake 0.002721
[343/5000][240/535][35113] Loss_D: -0.030040 Loss_G: 0.025882 Loss_D_real: -0.032964 Loss_D_fake -0.002923
[343/5000][245/535][35114] Loss_D: -0.030795 Loss_G: 0.027936 Loss_D_real: -0.024825 Loss_D_fake 0.005970
[343/5000][250/535][35115] Loss_D: -0.032218 Loss_G: 0.022123 Loss_D_real: -0.027284 Loss_D_fake 0.004934
[343/5000][255/535][35116] Loss_D: -0.031779 Loss_G: 0.005860 Loss_D_real: -0.011285 Loss_D_fake 0.020494
[343/5000][260/535][35117] Loss_D: -0.030168 Loss_G: 0.028736 Loss_D_real: -0.032707 Loss_D_fake -0.002539
[343/5000][265/535][35118] Loss_D: -0.031218 Loss_G: 0.030700 Loss_D_real: -0.032436 Loss_D_fake -0.001217
[343/5000][270/535][35119] Loss_D: -0.031046 Loss_G: 0.000204 Loss_D_real: -0.010523 Loss_D_fake 0.020522
[343/5000][275/535][35120] Loss_D: -0.029442 Loss_G: 0.015930 Loss_D_real: -0.017869 Loss_D_fake 0.011573
[343/5000][280/535][35121] Loss_D: -0.031787 Loss_G: 0.013325 Loss_D_real: -0.014436 Loss_D_fake 0.017351
[343/5000][285/535][35122] Loss_D: -0.030582 Loss_G: 0.029639 Loss_D_real: -0.031870 Loss_D_fake -0.001288
[343/5000][290/535][35123] Loss_D: -0.030670 Loss_G: 0.010908 Loss_D_real: -0.010882 Loss_D_fake 0.019788
[343/5000][295/535][35124] Loss_D: -0.029522 Loss_G: 0.038229 Loss_D_real: -0.024886 Loss_D_fake 0.004636
[343/5000][300/535][35125] Loss_D: -0.030520 Loss_G: -0.013743 Loss_D_real: -0.003442 Loss_D_fake 0.027078
[343/5000][305/535][35126] Loss_D: -0.029812 Loss_G: 0.028652 Loss_D_real: -0.025603 Loss_D_fake 0.004209
[343/5000][310/535][35127] Loss_D: -0.030115 Loss_G: 0.008803 Loss_D_real: -0.014612 Loss_D_fake 0.015503
[343/5000][315/535][35128] Loss_D: -0.031614 Loss_G: 0.031258 Loss_D_real: -0.027510 Loss_D_fake 0.004103
[343/5000][320/535][35129] Loss_D: -0.029036 Loss_G: -0.009202 Loss_D_real: -0.003086 Loss_D_fake 0.025950
[343/5000][325/535][35130] Loss_D: -0.029159 Loss_G: 0.008305 Loss_D_real: -0.018385 Loss_D_fake 0.010774
[343/5000][330/535][35131] Loss_D: -0.029940 Loss_G: 0.037837 Loss_D_real: -0.021340 Loss_D_fake 0.008600
[343/5000][335/535][35132] Loss_D: -0.029873 Loss_G: 0.006440 Loss_D_real: -0.015170 Loss_D_fake 0.014703
[343/5000][340/535][35133] Loss_D: -0.030566 Loss_G: 0.028366 Loss_D_real: -0.032311 Loss_D_fake -0.001745
[343/5000][345/535][35134] Loss_D: -0.028869 Loss_G: -0.007778 Loss_D_real: 0.005095 Loss_D_fake 0.033965
[343/5000][350/535][35135] Loss_D: -0.028054 Loss_G: 0.033885 Loss_D_real: -0.038059 Loss_D_fake -0.010005
[343/5000][355/535][35136] Loss_D: -0.030332 Loss_G: 0.032126 Loss_D_real: -0.030835 Loss_D_fake -0.000503
[343/5000][360/535][35137] Loss_D: -0.030552 Loss_G: -0.009505 Loss_D_real: 0.001044 Loss_D_fake 0.031596
[343/5000][365/535][35138] Loss_D: -0.029566 Loss_G: 0.024975 Loss_D_real: -0.025567 Loss_D_fake 0.004000
[343/5000][370/535][35139] Loss_D: -0.029648 Loss_G: 0.025759 Loss_D_real: -0.031204 Loss_D_fake -0.001556
[343/5000][375/535][35140] Loss_D: -0.030472 Loss_G: 0.028642 Loss_D_real: -0.030160 Loss_D_fake 0.000311
[343/5000][380/535][35141] Loss_D: -0.030659 Loss_G: -0.007508 Loss_D_real: -0.003990 Loss_D_fake 0.026669
[343/5000][385/535][35142] Loss_D: -0.030056 Loss_G: 0.018023 Loss_D_real: -0.024419 Loss_D_fake 0.005637
[343/5000][390/535][35143] Loss_D: -0.030833 Loss_G: -0.005291 Loss_D_real: -0.011620 Loss_D_fake 0.019213
[343/5000][395/535][35144] Loss_D: -0.030215 Loss_G: 0.047900 Loss_D_real: -0.027297 Loss_D_fake 0.002918
[343/5000][400/535][35145] Loss_D: -0.030939 Loss_G: 0.008539 Loss_D_real: -0.011168 Loss_D_fake 0.019771
[343/5000][405/535][35146] Loss_D: -0.029327 Loss_G: 0.023721 Loss_D_real: -0.018100 Loss_D_fake 0.011227
[343/5000][410/535][35147] Loss_D: -0.030489 Loss_G: 0.010409 Loss_D_real: -0.014107 Loss_D_fake 0.016383
[343/5000][415/535][35148] Loss_D: -0.029707 Loss_G: 0.022772 Loss_D_real: -0.029397 Loss_D_fake 0.000309
[343/5000][420/535][35149] Loss_D: -0.031468 Loss_G: 0.012424 Loss_D_real: -0.014094 Loss_D_fake 0.017374
[343/5000][425/535][35150] Loss_D: -0.030357 Loss_G: 0.012477 Loss_D_real: -0.013227 Loss_D_fake 0.017130
[343/5000][430/535][35151] Loss_D: -0.030236 Loss_G: 0.008196 Loss_D_real: -0.003711 Loss_D_fake 0.026525
[343/5000][435/535][35152] Loss_D: -0.030490 Loss_G: 0.010541 Loss_D_real: -0.008676 Loss_D_fake 0.021814
[343/5000][440/535][35153] Loss_D: -0.029794 Loss_G: -0.007418 Loss_D_real: -0.008011 Loss_D_fake 0.021783
[343/5000][445/535][35154] Loss_D: -0.028218 Loss_G: 0.038321 Loss_D_real: -0.031165 Loss_D_fake -0.002947
[343/5000][450/535][35155] Loss_D: -0.031098 Loss_G: 0.014594 Loss_D_real: -0.014538 Loss_D_fake 0.016559
[343/5000][455/535][35156] Loss_D: -0.031013 Loss_G: 0.016764 Loss_D_real: -0.019669 Loss_D_fake 0.011344
[343/5000][460/535][35157] Loss_D: -0.031376 Loss_G: 0.032082 Loss_D_real: -0.030495 Loss_D_fake 0.000881
[343/5000][465/535][35158] Loss_D: -0.031323 Loss_G: 0.017724 Loss_D_real: -0.025448 Loss_D_fake 0.005875
[343/5000][470/535][35159] Loss_D: -0.032366 Loss_G: 0.037877 Loss_D_real: -0.035761 Loss_D_fake -0.003396
[343/5000][475/535][35160] Loss_D: -0.030809 Loss_G: 0.010973 Loss_D_real: -0.018474 Loss_D_fake 0.012335
[343/5000][480/535][35161] Loss_D: -0.028939 Loss_G: 0.004276 Loss_D_real: -0.015979 Loss_D_fake 0.012961
[343/5000][485/535][35162] Loss_D: -0.030874 Loss_G: 0.008135 Loss_D_real: -0.008395 Loss_D_fake 0.022479
[343/5000][490/535][35163] Loss_D: -0.030383 Loss_G: 0.012698 Loss_D_real: -0.010182 Loss_D_fake 0.020201
[343/5000][495/535][35164] Loss_D: -0.030637 Loss_G: 0.030672 Loss_D_real: -0.036594 Loss_D_fake -0.005957
[343/5000][500/535][35165] Loss_D: -0.030956 Loss_G: -0.003900 Loss_D_real: -0.000237 Loss_D_fake 0.030720
[343/5000][505/535][35166] Loss_D: -0.031157 Loss_G: 0.011603 Loss_D_real: -0.022869 Loss_D_fake 0.008287
[343/5000][510/535][35167] Loss_D: -0.031531 Loss_G: 0.011776 Loss_D_real: -0.016919 Loss_D_fake 0.014613
[343/5000][515/535][35168] Loss_D: -0.031470 Loss_G: 0.028067 Loss_D_real: -0.025114 Loss_D_fake 0.006357
[343/5000][520/535][35169] Loss_D: -0.029242 Loss_G: 0.041248 Loss_D_real: -0.041948 Loss_D_fake -0.012706
[343/5000][525/535][35170] Loss_D: -0.030845 Loss_G: -0.016558 Loss_D_real: -0.001283 Loss_D_fake 0.029562
[343/5000][530/535][35171] Loss_D: -0.029571 Loss_G: 0.028028 Loss_D_real: -0.028256 Loss_D_fake 0.001315
[343/5000][535/535][35172] Loss_D: -0.031670 Loss_G: 0.008193 Loss_D_real: -0.019406 Loss_D_fake 0.012263
[344/5000][5/535][35173] Loss_D: -0.032056 Loss_G: 0.020519 Loss_D_real: -0.021240 Loss_D_fake 0.010816
[344/5000][10/535][35174] Loss_D: -0.028927 Loss_G: 0.039831 Loss_D_real: -0.039106 Loss_D_fake -0.010179
[344/5000][15/535][35175] Loss_D: -0.031307 Loss_G: -0.001930 Loss_D_real: -0.010715 Loss_D_fake 0.020593
[344/5000][20/535][35176] Loss_D: -0.029895 Loss_G: 0.029116 Loss_D_real: -0.028670 Loss_D_fake 0.001225
[344/5000][25/535][35177] Loss_D: -0.031142 Loss_G: -0.003528 Loss_D_real: -0.009540 Loss_D_fake 0.021602
[344/5000][30/535][35178] Loss_D: -0.031041 Loss_G: 0.003621 Loss_D_real: -0.018264 Loss_D_fake 0.012776
[344/5000][35/535][35179] Loss_D: -0.030985 Loss_G: 0.030257 Loss_D_real: -0.033994 Loss_D_fake -0.003009
[344/5000][40/535][35180] Loss_D: -0.031853 Loss_G: 0.020631 Loss_D_real: -0.025497 Loss_D_fake 0.006356
[344/5000][45/535][35181] Loss_D: -0.030974 Loss_G: 0.001729 Loss_D_real: -0.018495 Loss_D_fake 0.012479
[344/5000][50/535][35182] Loss_D: -0.030675 Loss_G: 0.035390 Loss_D_real: -0.037873 Loss_D_fake -0.007198
[344/5000][55/535][35183] Loss_D: -0.032514 Loss_G: 0.024063 Loss_D_real: -0.031051 Loss_D_fake 0.001463
[344/5000][60/535][35184] Loss_D: -0.030697 Loss_G: 0.022871 Loss_D_real: -0.024233 Loss_D_fake 0.006463
[344/5000][65/535][35185] Loss_D: -0.031501 Loss_G: 0.021760 Loss_D_real: -0.026489 Loss_D_fake 0.005012
[344/5000][70/535][35186] Loss_D: -0.030200 Loss_G: 0.006418 Loss_D_real: -0.014582 Loss_D_fake 0.015618
[344/5000][75/535][35187] Loss_D: -0.031229 Loss_G: 0.018012 Loss_D_real: -0.016893 Loss_D_fake 0.014336
[344/5000][80/535][35188] Loss_D: -0.030847 Loss_G: 0.017246 Loss_D_real: -0.021148 Loss_D_fake 0.009698
[344/5000][85/535][35189] Loss_D: -0.031361 Loss_G: 0.017696 Loss_D_real: -0.024965 Loss_D_fake 0.006396
[344/5000][90/535][35190] Loss_D: -0.031107 Loss_G: -0.007331 Loss_D_real: 0.000092 Loss_D_fake 0.031199
[344/5000][95/535][35191] Loss_D: -0.030246 Loss_G: 0.005583 Loss_D_real: -0.014038 Loss_D_fake 0.016208
[344/5000][100/535][35192] Loss_D: -0.030901 Loss_G: 0.024630 Loss_D_real: -0.035625 Loss_D_fake -0.004724
[344/5000][105/535][35193] Loss_D: -0.030738 Loss_G: 0.005784 Loss_D_real: -0.014754 Loss_D_fake 0.015984
[344/5000][110/535][35194] Loss_D: -0.030237 Loss_G: 0.025115 Loss_D_real: -0.023462 Loss_D_fake 0.006775
[344/5000][115/535][35195] Loss_D: -0.030524 Loss_G: 0.026953 Loss_D_real: -0.027978 Loss_D_fake 0.002547
[344/5000][120/535][35196] Loss_D: -0.030371 Loss_G: 0.011119 Loss_D_real: -0.016809 Loss_D_fake 0.013563
[344/5000][125/535][35197] Loss_D: -0.031383 Loss_G: -0.001603 Loss_D_real: -0.005623 Loss_D_fake 0.025760
[344/5000][130/535][35198] Loss_D: -0.029275 Loss_G: 0.023487 Loss_D_real: -0.031874 Loss_D_fake -0.002600
[344/5000][135/535][35199] Loss_D: -0.031053 Loss_G: 0.010899 Loss_D_real: -0.021758 Loss_D_fake 0.009295
[344/5000][140/535][35200] Loss_D: -0.031920 Loss_G: 0.010885 Loss_D_real: -0.022775 Loss_D_fake 0.009145
[344/5000][145/535][35201] Loss_D: -0.032185 Loss_G: 0.010021 Loss_D_real: -0.011527 Loss_D_fake 0.020658
[344/5000][150/535][35202] Loss_D: -0.031155 Loss_G: -0.005409 Loss_D_real: -0.003255 Loss_D_fake 0.027900
[344/5000][155/535][35203] Loss_D: -0.030319 Loss_G: 0.036426 Loss_D_real: -0.025001 Loss_D_fake 0.005318
[344/5000][160/535][35204] Loss_D: -0.029836 Loss_G: -0.008193 Loss_D_real: -0.005155 Loss_D_fake 0.024681
[344/5000][165/535][35205] Loss_D: -0.030166 Loss_G: 0.022567 Loss_D_real: -0.027468 Loss_D_fake 0.002698
[344/5000][170/535][35206] Loss_D: -0.030334 Loss_G: 0.009659 Loss_D_real: -0.014471 Loss_D_fake 0.015863
[344/5000][175/535][35207] Loss_D: -0.030102 Loss_G: 0.016006 Loss_D_real: -0.013321 Loss_D_fake 0.016781
[344/5000][180/535][35208] Loss_D: -0.029817 Loss_G: 0.032705 Loss_D_real: -0.030230 Loss_D_fake -0.000413
[344/5000][185/535][35209] Loss_D: -0.030355 Loss_G: 0.027681 Loss_D_real: -0.024317 Loss_D_fake 0.006038
[344/5000][190/535][35210] Loss_D: -0.031166 Loss_G: 0.008501 Loss_D_real: -0.016445 Loss_D_fake 0.014720
[344/5000][195/535][35211] Loss_D: -0.028638 Loss_G: 0.042984 Loss_D_real: -0.042186 Loss_D_fake -0.013549
[344/5000][200/535][35212] Loss_D: -0.030600 Loss_G: 0.003020 Loss_D_real: -0.014597 Loss_D_fake 0.016003
[344/5000][205/535][35213] Loss_D: -0.029445 Loss_G: 0.030045 Loss_D_real: -0.034330 Loss_D_fake -0.004886
[344/5000][210/535][35214] Loss_D: -0.030431 Loss_G: 0.021792 Loss_D_real: -0.022865 Loss_D_fake 0.007566
[344/5000][215/535][35215] Loss_D: -0.030015 Loss_G: 0.033020 Loss_D_real: -0.034680 Loss_D_fake -0.004665
[344/5000][220/535][35216] Loss_D: -0.032178 Loss_G: 0.008657 Loss_D_real: -0.016484 Loss_D_fake 0.015694
[344/5000][225/535][35217] Loss_D: -0.032403 Loss_G: 0.007895 Loss_D_real: -0.014540 Loss_D_fake 0.017863
[344/5000][230/535][35218] Loss_D: -0.031016 Loss_G: 0.022613 Loss_D_real: -0.017551 Loss_D_fake 0.013465
[344/5000][235/535][35219] Loss_D: -0.032777 Loss_G: 0.012467 Loss_D_real: -0.010351 Loss_D_fake 0.022426
[344/5000][240/535][35220] Loss_D: -0.031364 Loss_G: 0.022445 Loss_D_real: -0.024769 Loss_D_fake 0.006596
[344/5000][245/535][35221] Loss_D: -0.030195 Loss_G: -0.012427 Loss_D_real: 0.008167 Loss_D_fake 0.038362
[344/5000][250/535][35222] Loss_D: -0.032030 Loss_G: 0.017671 Loss_D_real: -0.023526 Loss_D_fake 0.008505
[344/5000][255/535][35223] Loss_D: -0.029718 Loss_G: 0.041421 Loss_D_real: -0.038130 Loss_D_fake -0.008413
[344/5000][260/535][35224] Loss_D: -0.029700 Loss_G: -0.009388 Loss_D_real: 0.001403 Loss_D_fake 0.031103
[344/5000][265/535][35225] Loss_D: -0.029848 Loss_G: 0.031318 Loss_D_real: -0.037058 Loss_D_fake -0.007210
[344/5000][270/535][35226] Loss_D: -0.030487 Loss_G: 0.015594 Loss_D_real: -0.015390 Loss_D_fake 0.015097
[344/5000][275/535][35227] Loss_D: -0.029961 Loss_G: 0.027285 Loss_D_real: -0.024052 Loss_D_fake 0.005908
[344/5000][280/535][35228] Loss_D: -0.031139 Loss_G: 0.017327 Loss_D_real: -0.028590 Loss_D_fake 0.002549
[344/5000][285/535][35229] Loss_D: -0.031049 Loss_G: 0.021683 Loss_D_real: -0.027125 Loss_D_fake 0.003924
[344/5000][290/535][35230] Loss_D: -0.031527 Loss_G: 0.015868 Loss_D_real: -0.015264 Loss_D_fake 0.016263
[344/5000][295/535][35231] Loss_D: -0.030818 Loss_G: 0.010290 Loss_D_real: -0.015446 Loss_D_fake 0.015373
[344/5000][300/535][35232] Loss_D: -0.031875 Loss_G: 0.016525 Loss_D_real: -0.021437 Loss_D_fake 0.010437
[344/5000][305/535][35233] Loss_D: -0.029530 Loss_G: 0.029072 Loss_D_real: -0.021512 Loss_D_fake 0.008017
[344/5000][310/535][35234] Loss_D: -0.030045 Loss_G: -0.006266 Loss_D_real: -0.000873 Loss_D_fake 0.029172
[344/5000][315/535][35235] Loss_D: -0.029027 Loss_G: 0.022275 Loss_D_real: -0.024834 Loss_D_fake 0.004193
[344/5000][320/535][35236] Loss_D: -0.030563 Loss_G: 0.007538 Loss_D_real: -0.007867 Loss_D_fake 0.022697
[344/5000][325/535][35237] Loss_D: -0.030382 Loss_G: 0.011919 Loss_D_real: -0.013241 Loss_D_fake 0.017141
[344/5000][330/535][35238] Loss_D: -0.030835 Loss_G: 0.006721 Loss_D_real: -0.019339 Loss_D_fake 0.011496
[344/5000][335/535][35239] Loss_D: -0.028864 Loss_G: 0.025075 Loss_D_real: -0.030629 Loss_D_fake -0.001765
[344/5000][340/535][35240] Loss_D: -0.030832 Loss_G: 0.024728 Loss_D_real: -0.025715 Loss_D_fake 0.005117
[344/5000][345/535][35241] Loss_D: -0.028721 Loss_G: 0.039690 Loss_D_real: -0.041276 Loss_D_fake -0.012555
[344/5000][350/535][35242] Loss_D: -0.029412 Loss_G: -0.008480 Loss_D_real: -0.005411 Loss_D_fake 0.024002
[344/5000][355/535][35243] Loss_D: -0.029785 Loss_G: 0.031334 Loss_D_real: -0.032908 Loss_D_fake -0.003124
[344/5000][360/535][35244] Loss_D: -0.029848 Loss_G: 0.003092 Loss_D_real: -0.005737 Loss_D_fake 0.024111
[344/5000][365/535][35245] Loss_D: -0.029083 Loss_G: 0.020057 Loss_D_real: -0.021661 Loss_D_fake 0.007422
[344/5000][370/535][35246] Loss_D: -0.030317 Loss_G: 0.003374 Loss_D_real: -0.014349 Loss_D_fake 0.015968
[344/5000][375/535][35247] Loss_D: -0.032008 Loss_G: 0.010872 Loss_D_real: -0.009667 Loss_D_fake 0.022342
[344/5000][380/535][35248] Loss_D: -0.029612 Loss_G: -0.002374 Loss_D_real: -0.005867 Loss_D_fake 0.023745
[344/5000][385/535][35249] Loss_D: -0.029762 Loss_G: 0.028357 Loss_D_real: -0.031792 Loss_D_fake -0.002030
[344/5000][390/535][35250] Loss_D: -0.029746 Loss_G: 0.026288 Loss_D_real: -0.035598 Loss_D_fake -0.005852
[344/5000][395/535][35251] Loss_D: -0.031180 Loss_G: 0.025376 Loss_D_real: -0.022602 Loss_D_fake 0.008578
[344/5000][400/535][35252] Loss_D: -0.031643 Loss_G: 0.037931 Loss_D_real: -0.036422 Loss_D_fake -0.004779
[344/5000][405/535][35253] Loss_D: -0.031326 Loss_G: 0.023812 Loss_D_real: -0.028042 Loss_D_fake 0.003285
[344/5000][410/535][35254] Loss_D: -0.032178 Loss_G: 0.017177 Loss_D_real: -0.017447 Loss_D_fake 0.014731
[344/5000][415/535][35255] Loss_D: -0.031541 Loss_G: 0.032042 Loss_D_real: -0.036763 Loss_D_fake -0.005222
[344/5000][420/535][35256] Loss_D: -0.031655 Loss_G: 0.031239 Loss_D_real: -0.028084 Loss_D_fake 0.003571
[344/5000][425/535][35257] Loss_D: -0.030185 Loss_G: -0.000476 Loss_D_real: -0.002443 Loss_D_fake 0.027742
[344/5000][430/535][35258] Loss_D: -0.029113 Loss_G: 0.031763 Loss_D_real: -0.025863 Loss_D_fake 0.003250
[344/5000][435/535][35259] Loss_D: -0.031684 Loss_G: -0.012221 Loss_D_real: -0.002569 Loss_D_fake 0.029115
[344/5000][440/535][35260] Loss_D: -0.030267 Loss_G: 0.026577 Loss_D_real: -0.031985 Loss_D_fake -0.001718
[344/5000][445/535][35261] Loss_D: -0.031332 Loss_G: 0.009696 Loss_D_real: -0.003828 Loss_D_fake 0.027504
[344/5000][450/535][35262] Loss_D: -0.029907 Loss_G: 0.008797 Loss_D_real: -0.017322 Loss_D_fake 0.012585
[344/5000][455/535][35263] Loss_D: -0.031555 Loss_G: 0.002844 Loss_D_real: -0.012824 Loss_D_fake 0.018731
[344/5000][460/535][35264] Loss_D: -0.029371 Loss_G: 0.027753 Loss_D_real: -0.030614 Loss_D_fake -0.001244
[344/5000][465/535][35265] Loss_D: -0.032198 Loss_G: -0.003666 Loss_D_real: -0.015049 Loss_D_fake 0.017149
[344/5000][470/535][35266] Loss_D: -0.029526 Loss_G: 0.012435 Loss_D_real: -0.014510 Loss_D_fake 0.015016
[344/5000][475/535][35267] Loss_D: -0.028100 Loss_G: -0.017419 Loss_D_real: 0.003400 Loss_D_fake 0.031499
[344/5000][480/535][35268] Loss_D: -0.030320 Loss_G: 0.015774 Loss_D_real: -0.018918 Loss_D_fake 0.011402
[344/5000][485/535][35269] Loss_D: -0.029958 Loss_G: -0.006089 Loss_D_real: -0.012918 Loss_D_fake 0.017041
[344/5000][490/535][35270] Loss_D: -0.030094 Loss_G: 0.006903 Loss_D_real: -0.004338 Loss_D_fake 0.025756
[344/5000][495/535][35271] Loss_D: -0.030857 Loss_G: 0.021214 Loss_D_real: -0.032987 Loss_D_fake -0.002130
[344/5000][500/535][35272] Loss_D: -0.031140 Loss_G: 0.021308 Loss_D_real: -0.024487 Loss_D_fake 0.006653
[344/5000][505/535][35273] Loss_D: -0.030222 Loss_G: 0.003941 Loss_D_real: -0.009069 Loss_D_fake 0.021153
[344/5000][510/535][35274] Loss_D: -0.030831 Loss_G: -0.005670 Loss_D_real: -0.012664 Loss_D_fake 0.018167
[344/5000][515/535][35275] Loss_D: -0.030751 Loss_G: 0.021538 Loss_D_real: -0.024346 Loss_D_fake 0.006406
[344/5000][520/535][35276] Loss_D: -0.031766 Loss_G: 0.009845 Loss_D_real: -0.011488 Loss_D_fake 0.020278
[344/5000][525/535][35277] Loss_D: -0.030378 Loss_G: 0.026814 Loss_D_real: -0.024645 Loss_D_fake 0.005733
[344/5000][530/535][35278] Loss_D: -0.031438 Loss_G: 0.002984 Loss_D_real: -0.007062 Loss_D_fake 0.024375
[344/5000][535/535][35279] Loss_D: -0.029264 Loss_G: 0.016014 Loss_D_real: -0.017430 Loss_D_fake 0.011834
[345/5000][5/535][35280] Loss_D: -0.031631 Loss_G: 0.000844 Loss_D_real: -0.008154 Loss_D_fake 0.023477
[345/5000][10/535][35281] Loss_D: -0.028852 Loss_G: 0.028583 Loss_D_real: -0.018689 Loss_D_fake 0.010163
[345/5000][15/535][35282] Loss_D: -0.028853 Loss_G: 0.002472 Loss_D_real: -0.014719 Loss_D_fake 0.014134
[345/5000][20/535][35283] Loss_D: -0.028003 Loss_G: 0.028727 Loss_D_real: -0.030318 Loss_D_fake -0.002315
[345/5000][25/535][35284] Loss_D: -0.030317 Loss_G: 0.022456 Loss_D_real: -0.008648 Loss_D_fake 0.021668
[345/5000][30/535][35285] Loss_D: -0.029981 Loss_G: 0.010190 Loss_D_real: -0.011022 Loss_D_fake 0.018960
[345/5000][35/535][35286] Loss_D: -0.026986 Loss_G: 0.037151 Loss_D_real: -0.032085 Loss_D_fake -0.005098
[345/5000][40/535][35287] Loss_D: -0.031634 Loss_G: -0.002754 Loss_D_real: -0.002637 Loss_D_fake 0.028997
[345/5000][45/535][35288] Loss_D: -0.030036 Loss_G: 0.037003 Loss_D_real: -0.032078 Loss_D_fake -0.002042
[345/5000][50/535][35289] Loss_D: -0.031107 Loss_G: -0.002979 Loss_D_real: -0.008983 Loss_D_fake 0.022124
[345/5000][55/535][35290] Loss_D: -0.030435 Loss_G: 0.034671 Loss_D_real: -0.026745 Loss_D_fake 0.003690
[345/5000][60/535][35291] Loss_D: -0.028149 Loss_G: -0.014950 Loss_D_real: 0.012733 Loss_D_fake 0.040882
[345/5000][65/535][35292] Loss_D: -0.029484 Loss_G: 0.021915 Loss_D_real: -0.027324 Loss_D_fake 0.002160
[345/5000][70/535][35293] Loss_D: -0.029917 Loss_G: 0.006728 Loss_D_real: -0.005773 Loss_D_fake 0.024143
[345/5000][75/535][35294] Loss_D: -0.029379 Loss_G: 0.023238 Loss_D_real: -0.013822 Loss_D_fake 0.015557
[345/5000][80/535][35295] Loss_D: -0.030102 Loss_G: -0.001241 Loss_D_real: 0.000085 Loss_D_fake 0.030187
[345/5000][85/535][35296] Loss_D: -0.029710 Loss_G: 0.009287 Loss_D_real: -0.018317 Loss_D_fake 0.011393
[345/5000][90/535][35297] Loss_D: -0.031247 Loss_G: 0.012940 Loss_D_real: -0.020026 Loss_D_fake 0.011221
[345/5000][95/535][35298] Loss_D: -0.030675 Loss_G: 0.010236 Loss_D_real: -0.013689 Loss_D_fake 0.016986
[345/5000][100/535][35299] Loss_D: -0.030500 Loss_G: 0.011856 Loss_D_real: -0.010089 Loss_D_fake 0.020411
[345/5000][105/535][35300] Loss_D: -0.030292 Loss_G: 0.010463 Loss_D_real: -0.012859 Loss_D_fake 0.017433
[345/5000][110/535][35301] Loss_D: -0.031231 Loss_G: 0.024326 Loss_D_real: -0.018116 Loss_D_fake 0.013115
[345/5000][115/535][35302] Loss_D: -0.030045 Loss_G: 0.035392 Loss_D_real: -0.028571 Loss_D_fake 0.001474
[345/5000][120/535][35303] Loss_D: -0.030719 Loss_G: -0.005109 Loss_D_real: -0.008962 Loss_D_fake 0.021758
[345/5000][125/535][35304] Loss_D: -0.030440 Loss_G: 0.021722 Loss_D_real: -0.030520 Loss_D_fake -0.000080
[345/5000][130/535][35305] Loss_D: -0.031338 Loss_G: 0.016532 Loss_D_real: -0.016250 Loss_D_fake 0.015088
[345/5000][135/535][35306] Loss_D: -0.031696 Loss_G: 0.029171 Loss_D_real: -0.028257 Loss_D_fake 0.003439
[345/5000][140/535][35307] Loss_D: -0.032004 Loss_G: 0.011795 Loss_D_real: -0.015661 Loss_D_fake 0.016343
[345/5000][145/535][35308] Loss_D: -0.030741 Loss_G: -0.002143 Loss_D_real: -0.008789 Loss_D_fake 0.021951
[345/5000][150/535][35309] Loss_D: -0.028472 Loss_G: 0.037353 Loss_D_real: -0.040170 Loss_D_fake -0.011697
[345/5000][155/535][35310] Loss_D: -0.031366 Loss_G: 0.005254 Loss_D_real: -0.012322 Loss_D_fake 0.019044
[345/5000][160/535][35311] Loss_D: -0.031281 Loss_G: 0.020723 Loss_D_real: -0.025924 Loss_D_fake 0.005357
[345/5000][165/535][35312] Loss_D: -0.031125 Loss_G: 0.039697 Loss_D_real: -0.029600 Loss_D_fake 0.001525
[345/5000][170/535][35313] Loss_D: -0.029367 Loss_G: -0.003167 Loss_D_real: -0.013349 Loss_D_fake 0.016017
[345/5000][175/535][35314] Loss_D: -0.030542 Loss_G: 0.030275 Loss_D_real: -0.022138 Loss_D_fake 0.008404
[345/5000][180/535][35315] Loss_D: -0.030534 Loss_G: 0.004427 Loss_D_real: -0.012353 Loss_D_fake 0.018181
[345/5000][185/535][35316] Loss_D: -0.031642 Loss_G: 0.023750 Loss_D_real: -0.028609 Loss_D_fake 0.003033
[345/5000][190/535][35317] Loss_D: -0.030595 Loss_G: 0.002711 Loss_D_real: -0.010417 Loss_D_fake 0.020178
[345/5000][195/535][35318] Loss_D: -0.029166 Loss_G: -0.017426 Loss_D_real: 0.002309 Loss_D_fake 0.031475
[345/5000][200/535][35319] Loss_D: -0.029214 Loss_G: 0.014509 Loss_D_real: -0.018524 Loss_D_fake 0.010689
[345/5000][205/535][35320] Loss_D: -0.030208 Loss_G: 0.029391 Loss_D_real: -0.028631 Loss_D_fake 0.001577
[345/5000][210/535][35321] Loss_D: -0.029583 Loss_G: -0.004726 Loss_D_real: -0.008385 Loss_D_fake 0.021199
[345/5000][215/535][35322] Loss_D: -0.029261 Loss_G: 0.019689 Loss_D_real: -0.025716 Loss_D_fake 0.003545
[345/5000][220/535][35323] Loss_D: -0.030596 Loss_G: 0.029315 Loss_D_real: -0.030058 Loss_D_fake 0.000538
[345/5000][225/535][35324] Loss_D: -0.030043 Loss_G: -0.001186 Loss_D_real: -0.004376 Loss_D_fake 0.025668
[345/5000][230/535][35325] Loss_D: -0.030106 Loss_G: 0.001719 Loss_D_real: -0.011494 Loss_D_fake 0.018612
[345/5000][235/535][35326] Loss_D: -0.031005 Loss_G: 0.028338 Loss_D_real: -0.030564 Loss_D_fake 0.000440
[345/5000][240/535][35327] Loss_D: -0.032978 Loss_G: 0.003903 Loss_D_real: -0.017473 Loss_D_fake 0.015504
[345/5000][245/535][35328] Loss_D: -0.030897 Loss_G: 0.041161 Loss_D_real: -0.029262 Loss_D_fake 0.001635
[345/5000][250/535][35329] Loss_D: -0.031035 Loss_G: -0.006160 Loss_D_real: -0.014033 Loss_D_fake 0.017002
[345/5000][255/535][35330] Loss_D: -0.029332 Loss_G: 0.022188 Loss_D_real: -0.031351 Loss_D_fake -0.002019
[345/5000][260/535][35331] Loss_D: -0.029911 Loss_G: -0.002729 Loss_D_real: -0.012600 Loss_D_fake 0.017310
[345/5000][265/535][35332] Loss_D: -0.030811 Loss_G: 0.023816 Loss_D_real: -0.025301 Loss_D_fake 0.005510
[345/5000][270/535][35333] Loss_D: -0.031771 Loss_G: 0.026582 Loss_D_real: -0.023174 Loss_D_fake 0.008597
[345/5000][275/535][35334] Loss_D: -0.032153 Loss_G: -0.000389 Loss_D_real: -0.010334 Loss_D_fake 0.021819
[345/5000][280/535][35335] Loss_D: -0.029655 Loss_G: 0.020357 Loss_D_real: -0.025203 Loss_D_fake 0.004452
[345/5000][285/535][35336] Loss_D: -0.029880 Loss_G: 0.021041 Loss_D_real: -0.025660 Loss_D_fake 0.004220
[345/5000][290/535][35337] Loss_D: -0.028387 Loss_G: -0.002235 Loss_D_real: 0.003912 Loss_D_fake 0.032299
[345/5000][295/535][35338] Loss_D: -0.029561 Loss_G: 0.017074 Loss_D_real: -0.023515 Loss_D_fake 0.006046
[345/5000][300/535][35339] Loss_D: -0.030870 Loss_G: 0.011357 Loss_D_real: -0.018031 Loss_D_fake 0.012839
[345/5000][305/535][35340] Loss_D: -0.028862 Loss_G: 0.028349 Loss_D_real: -0.024186 Loss_D_fake 0.004677
[345/5000][310/535][35341] Loss_D: -0.030326 Loss_G: 0.028199 Loss_D_real: -0.028917 Loss_D_fake 0.001409
[345/5000][315/535][35342] Loss_D: -0.031643 Loss_G: 0.022611 Loss_D_real: -0.034087 Loss_D_fake -0.002444
[345/5000][320/535][35343] Loss_D: -0.030399 Loss_G: 0.022197 Loss_D_real: -0.030792 Loss_D_fake -0.000393
[345/5000][325/535][35344] Loss_D: -0.030933 Loss_G: -0.009197 Loss_D_real: 0.002677 Loss_D_fake 0.033610
[345/5000][330/535][35345] Loss_D: -0.031268 Loss_G: 0.027920 Loss_D_real: -0.027749 Loss_D_fake 0.003520
[345/5000][335/535][35346] Loss_D: -0.030729 Loss_G: -0.000886 Loss_D_real: -0.015741 Loss_D_fake 0.014988
[345/5000][340/535][35347] Loss_D: -0.028879 Loss_G: 0.041728 Loss_D_real: -0.044848 Loss_D_fake -0.015969
[345/5000][345/535][35348] Loss_D: -0.031275 Loss_G: 0.020703 Loss_D_real: -0.024364 Loss_D_fake 0.006911
[345/5000][350/535][35349] Loss_D: -0.031786 Loss_G: 0.015845 Loss_D_real: -0.020084 Loss_D_fake 0.011702
[345/5000][355/535][35350] Loss_D: -0.031381 Loss_G: 0.024240 Loss_D_real: -0.021598 Loss_D_fake 0.009782
[345/5000][360/535][35351] Loss_D: -0.030081 Loss_G: 0.024480 Loss_D_real: -0.022953 Loss_D_fake 0.007128
[345/5000][365/535][35352] Loss_D: -0.029278 Loss_G: -0.003213 Loss_D_real: 0.001229 Loss_D_fake 0.030507
[345/5000][370/535][35353] Loss_D: -0.030866 Loss_G: 0.016698 Loss_D_real: -0.016322 Loss_D_fake 0.014543
[345/5000][375/535][35354] Loss_D: -0.030259 Loss_G: 0.020848 Loss_D_real: -0.021390 Loss_D_fake 0.008869
[345/5000][380/535][35355] Loss_D: -0.031444 Loss_G: 0.027130 Loss_D_real: -0.021665 Loss_D_fake 0.009779
[345/5000][385/535][35356] Loss_D: -0.028472 Loss_G: -0.015495 Loss_D_real: 0.004903 Loss_D_fake 0.033375
[345/5000][390/535][35357] Loss_D: -0.029290 Loss_G: 0.027373 Loss_D_real: -0.020591 Loss_D_fake 0.008698
[345/5000][395/535][35358] Loss_D: -0.031232 Loss_G: -0.012092 Loss_D_real: -0.002606 Loss_D_fake 0.028626
[345/5000][400/535][35359] Loss_D: -0.031254 Loss_G: 0.022569 Loss_D_real: -0.021729 Loss_D_fake 0.009525
[345/5000][405/535][35360] Loss_D: -0.029681 Loss_G: 0.039771 Loss_D_real: -0.035824 Loss_D_fake -0.006144
[345/5000][410/535][35361] Loss_D: -0.031375 Loss_G: 0.022399 Loss_D_real: -0.021283 Loss_D_fake 0.010092
[345/5000][415/535][35362] Loss_D: -0.032328 Loss_G: 0.004220 Loss_D_real: -0.013689 Loss_D_fake 0.018639
[345/5000][420/535][35363] Loss_D: -0.032850 Loss_G: 0.016602 Loss_D_real: -0.021790 Loss_D_fake 0.011061
[345/5000][425/535][35364] Loss_D: -0.032045 Loss_G: 0.008172 Loss_D_real: -0.017175 Loss_D_fake 0.014870
[345/5000][430/535][35365] Loss_D: -0.031096 Loss_G: 0.030454 Loss_D_real: -0.029500 Loss_D_fake 0.001596
[345/5000][435/535][35366] Loss_D: -0.030816 Loss_G: 0.001833 Loss_D_real: -0.004744 Loss_D_fake 0.026073
[345/5000][440/535][35367] Loss_D: -0.030924 Loss_G: 0.034349 Loss_D_real: -0.034920 Loss_D_fake -0.003996
[345/5000][445/535][35368] Loss_D: -0.032222 Loss_G: 0.004719 Loss_D_real: -0.012095 Loss_D_fake 0.020127
[345/5000][450/535][35369] Loss_D: -0.030307 Loss_G: 0.019694 Loss_D_real: -0.018253 Loss_D_fake 0.012054
[345/5000][455/535][35370] Loss_D: -0.032314 Loss_G: 0.029361 Loss_D_real: -0.031502 Loss_D_fake 0.000812
[345/5000][460/535][35371] Loss_D: -0.030255 Loss_G: 0.035074 Loss_D_real: -0.041254 Loss_D_fake -0.010999
[345/5000][465/535][35372] Loss_D: -0.031132 Loss_G: 0.015041 Loss_D_real: -0.014209 Loss_D_fake 0.016923
[345/5000][470/535][35373] Loss_D: -0.031228 Loss_G: 0.004358 Loss_D_real: -0.014854 Loss_D_fake 0.016374
[345/5000][475/535][35374] Loss_D: -0.029381 Loss_G: 0.040490 Loss_D_real: -0.040037 Loss_D_fake -0.010656
[345/5000][480/535][35375] Loss_D: -0.028304 Loss_G: -0.002903 Loss_D_real: -0.006425 Loss_D_fake 0.021879
[345/5000][485/535][35376] Loss_D: -0.030968 Loss_G: 0.010343 Loss_D_real: -0.025533 Loss_D_fake 0.005435
[345/5000][490/535][35377] Loss_D: -0.029517 Loss_G: 0.033969 Loss_D_real: -0.033983 Loss_D_fake -0.004466
[345/5000][495/535][35378] Loss_D: -0.029159 Loss_G: -0.002296 Loss_D_real: -0.003086 Loss_D_fake 0.026074
[345/5000][500/535][35379] Loss_D: -0.030688 Loss_G: 0.015836 Loss_D_real: -0.014381 Loss_D_fake 0.016307
[345/5000][505/535][35380] Loss_D: -0.028255 Loss_G: 0.039411 Loss_D_real: -0.033088 Loss_D_fake -0.004833
[345/5000][510/535][35381] Loss_D: -0.030848 Loss_G: 0.014659 Loss_D_real: -0.020861 Loss_D_fake 0.009987
[345/5000][515/535][35382] Loss_D: -0.030001 Loss_G: -0.002299 Loss_D_real: -0.005121 Loss_D_fake 0.024880
[345/5000][520/535][35383] Loss_D: -0.027860 Loss_G: 0.021123 Loss_D_real: -0.032468 Loss_D_fake -0.004609
[345/5000][525/535][35384] Loss_D: -0.030064 Loss_G: 0.004578 Loss_D_real: -0.007706 Loss_D_fake 0.022358
[345/5000][530/535][35385] Loss_D: -0.031408 Loss_G: 0.011987 Loss_D_real: -0.020196 Loss_D_fake 0.011212
[345/5000][535/535][35386] Loss_D: -0.028976 Loss_G: 0.047803 Loss_D_real: -0.034325 Loss_D_fake -0.005350
[346/5000][5/535][35387] Loss_D: -0.030040 Loss_G: 0.013415 Loss_D_real: -0.014209 Loss_D_fake 0.015831
[346/5000][10/535][35388] Loss_D: -0.029497 Loss_G: 0.002394 Loss_D_real: -0.013511 Loss_D_fake 0.015986
[346/5000][15/535][35389] Loss_D: -0.028847 Loss_G: 0.040518 Loss_D_real: -0.039654 Loss_D_fake -0.010807
[346/5000][20/535][35390] Loss_D: -0.030170 Loss_G: 0.000362 Loss_D_real: -0.015548 Loss_D_fake 0.014622
[346/5000][25/535][35391] Loss_D: -0.030224 Loss_G: 0.019391 Loss_D_real: -0.018134 Loss_D_fake 0.012090
[346/5000][30/535][35392] Loss_D: -0.031490 Loss_G: 0.029106 Loss_D_real: -0.024661 Loss_D_fake 0.006829
[346/5000][35/535][35393] Loss_D: -0.030825 Loss_G: 0.007793 Loss_D_real: -0.006676 Loss_D_fake 0.024149
[346/5000][40/535][35394] Loss_D: -0.031214 Loss_G: 0.029055 Loss_D_real: -0.021878 Loss_D_fake 0.009336
[346/5000][45/535][35395] Loss_D: -0.030536 Loss_G: 0.021073 Loss_D_real: -0.026526 Loss_D_fake 0.004010
[346/5000][50/535][35396] Loss_D: -0.031288 Loss_G: 0.014638 Loss_D_real: -0.014031 Loss_D_fake 0.017257
[346/5000][55/535][35397] Loss_D: -0.031253 Loss_G: 0.027759 Loss_D_real: -0.030934 Loss_D_fake 0.000319
[346/5000][60/535][35398] Loss_D: -0.030660 Loss_G: 0.000838 Loss_D_real: -0.009453 Loss_D_fake 0.021207
[346/5000][65/535][35399] Loss_D: -0.030708 Loss_G: -0.011627 Loss_D_real: -0.001966 Loss_D_fake 0.028743
[346/5000][70/535][35400] Loss_D: -0.028136 Loss_G: 0.032882 Loss_D_real: -0.030571 Loss_D_fake -0.002434
[346/5000][75/535][35401] Loss_D: -0.030715 Loss_G: -0.000702 Loss_D_real: -0.002770 Loss_D_fake 0.027945
[346/5000][80/535][35402] Loss_D: -0.031211 Loss_G: 0.016290 Loss_D_real: -0.012601 Loss_D_fake 0.018610
[346/5000][85/535][35403] Loss_D: -0.030850 Loss_G: 0.022361 Loss_D_real: -0.030860 Loss_D_fake -0.000010
[346/5000][90/535][35404] Loss_D: -0.030911 Loss_G: 0.004997 Loss_D_real: -0.013299 Loss_D_fake 0.017612
[346/5000][95/535][35405] Loss_D: -0.030758 Loss_G: 0.027662 Loss_D_real: -0.025444 Loss_D_fake 0.005314
[346/5000][100/535][35406] Loss_D: -0.029985 Loss_G: 0.034003 Loss_D_real: -0.035135 Loss_D_fake -0.005150
[346/5000][105/535][35407] Loss_D: -0.031879 Loss_G: -0.003603 Loss_D_real: -0.005501 Loss_D_fake 0.026378
[346/5000][110/535][35408] Loss_D: -0.029112 Loss_G: 0.012790 Loss_D_real: -0.022895 Loss_D_fake 0.006216
[346/5000][115/535][35409] Loss_D: -0.031359 Loss_G: 0.005233 Loss_D_real: -0.017229 Loss_D_fake 0.014131
[346/5000][120/535][35410] Loss_D: -0.032939 Loss_G: 0.026269 Loss_D_real: -0.026934 Loss_D_fake 0.006004
[346/5000][125/535][35411] Loss_D: -0.030001 Loss_G: -0.011350 Loss_D_real: -0.000983 Loss_D_fake 0.029018
[346/5000][130/535][35412] Loss_D: -0.029887 Loss_G: 0.029170 Loss_D_real: -0.024549 Loss_D_fake 0.005338
[346/5000][135/535][35413] Loss_D: -0.031783 Loss_G: 0.014768 Loss_D_real: -0.016908 Loss_D_fake 0.014875
[346/5000][140/535][35414] Loss_D: -0.030045 Loss_G: 0.010866 Loss_D_real: -0.015141 Loss_D_fake 0.014903
[346/5000][145/535][35415] Loss_D: -0.030876 Loss_G: 0.010896 Loss_D_real: -0.013036 Loss_D_fake 0.017840
[346/5000][150/535][35416] Loss_D: -0.031938 Loss_G: 0.003821 Loss_D_real: -0.014931 Loss_D_fake 0.017007
[346/5000][155/535][35417] Loss_D: -0.030100 Loss_G: 0.038961 Loss_D_real: -0.032939 Loss_D_fake -0.002838
[346/5000][160/535][35418] Loss_D: -0.031174 Loss_G: 0.010171 Loss_D_real: -0.013328 Loss_D_fake 0.017846
[346/5000][165/535][35419] Loss_D: -0.029668 Loss_G: 0.022316 Loss_D_real: -0.022673 Loss_D_fake 0.006995
[346/5000][170/535][35420] Loss_D: -0.029511 Loss_G: 0.029175 Loss_D_real: -0.025114 Loss_D_fake 0.004397
[346/5000][175/535][35421] Loss_D: -0.031063 Loss_G: 0.035349 Loss_D_real: -0.033308 Loss_D_fake -0.002245
[346/5000][180/535][35422] Loss_D: -0.031110 Loss_G: 0.032498 Loss_D_real: -0.027913 Loss_D_fake 0.003197
[346/5000][185/535][35423] Loss_D: -0.031196 Loss_G: 0.019883 Loss_D_real: -0.024906 Loss_D_fake 0.006291
[346/5000][190/535][35424] Loss_D: -0.031384 Loss_G: 0.007098 Loss_D_real: -0.013418 Loss_D_fake 0.017966
[346/5000][195/535][35425] Loss_D: -0.032061 Loss_G: 0.006947 Loss_D_real: -0.010405 Loss_D_fake 0.021656
[346/5000][200/535][35426] Loss_D: -0.030299 Loss_G: 0.045651 Loss_D_real: -0.031381 Loss_D_fake -0.001082
[346/5000][205/535][35427] Loss_D: -0.029834 Loss_G: -0.010503 Loss_D_real: -0.000819 Loss_D_fake 0.029014
[346/5000][210/535][35428] Loss_D: -0.028162 Loss_G: 0.022899 Loss_D_real: -0.032034 Loss_D_fake -0.003871
[346/5000][215/535][35429] Loss_D: -0.030063 Loss_G: 0.035043 Loss_D_real: -0.037762 Loss_D_fake -0.007699
[346/5000][220/535][35430] Loss_D: -0.030632 Loss_G: 0.026110 Loss_D_real: -0.027542 Loss_D_fake 0.003091
[346/5000][225/535][35431] Loss_D: -0.031093 Loss_G: 0.004952 Loss_D_real: -0.016217 Loss_D_fake 0.014876
[346/5000][230/535][35432] Loss_D: -0.031684 Loss_G: 0.013221 Loss_D_real: -0.013466 Loss_D_fake 0.018218
[346/5000][235/535][35433] Loss_D: -0.031103 Loss_G: 0.021914 Loss_D_real: -0.024253 Loss_D_fake 0.006850
[346/5000][240/535][35434] Loss_D: -0.030275 Loss_G: -0.003605 Loss_D_real: 0.003781 Loss_D_fake 0.034055
[346/5000][245/535][35435] Loss_D: -0.031207 Loss_G: 0.008056 Loss_D_real: -0.024838 Loss_D_fake 0.006369
[346/5000][250/535][35436] Loss_D: -0.030074 Loss_G: 0.014847 Loss_D_real: -0.026271 Loss_D_fake 0.003802
[346/5000][255/535][35437] Loss_D: -0.030734 Loss_G: 0.041858 Loss_D_real: -0.028932 Loss_D_fake 0.001803
[346/5000][260/535][35438] Loss_D: -0.031640 Loss_G: 0.004316 Loss_D_real: -0.017451 Loss_D_fake 0.014189
[346/5000][265/535][35439] Loss_D: -0.030143 Loss_G: 0.025686 Loss_D_real: -0.026653 Loss_D_fake 0.003489
[346/5000][270/535][35440] Loss_D: -0.030540 Loss_G: 0.030038 Loss_D_real: -0.031635 Loss_D_fake -0.001095
[346/5000][275/535][35441] Loss_D: -0.029884 Loss_G: 0.032377 Loss_D_real: -0.033140 Loss_D_fake -0.003256
[346/5000][280/535][35442] Loss_D: -0.029906 Loss_G: 0.030266 Loss_D_real: -0.033718 Loss_D_fake -0.003812
[346/5000][285/535][35443] Loss_D: -0.030614 Loss_G: 0.033350 Loss_D_real: -0.029620 Loss_D_fake 0.000995
[346/5000][290/535][35444] Loss_D: -0.030498 Loss_G: 0.009974 Loss_D_real: -0.015929 Loss_D_fake 0.014569
[346/5000][295/535][35445] Loss_D: -0.030060 Loss_G: -0.006108 Loss_D_real: -0.005811 Loss_D_fake 0.024249
[346/5000][300/535][35446] Loss_D: -0.030810 Loss_G: 0.024665 Loss_D_real: -0.029164 Loss_D_fake 0.001647
[346/5000][305/535][35447] Loss_D: -0.030396 Loss_G: 0.002824 Loss_D_real: -0.013366 Loss_D_fake 0.017030
[346/5000][310/535][35448] Loss_D: -0.030155 Loss_G: 0.028395 Loss_D_real: -0.032587 Loss_D_fake -0.002432
[346/5000][315/535][35449] Loss_D: -0.031847 Loss_G: 0.001877 Loss_D_real: -0.007628 Loss_D_fake 0.024219
[346/5000][320/535][35450] Loss_D: -0.030440 Loss_G: 0.034861 Loss_D_real: -0.032906 Loss_D_fake -0.002466
[346/5000][325/535][35451] Loss_D: -0.031249 Loss_G: -0.001828 Loss_D_real: -0.012240 Loss_D_fake 0.019010
[346/5000][330/535][35452] Loss_D: -0.031141 Loss_G: 0.019728 Loss_D_real: -0.023470 Loss_D_fake 0.007671
[346/5000][335/535][35453] Loss_D: -0.030960 Loss_G: 0.034449 Loss_D_real: -0.030924 Loss_D_fake 0.000036
[346/5000][340/535][35454] Loss_D: -0.031451 Loss_G: 0.021926 Loss_D_real: -0.024173 Loss_D_fake 0.007278
[346/5000][345/535][35455] Loss_D: -0.032100 Loss_G: 0.005435 Loss_D_real: -0.016110 Loss_D_fake 0.015990
[346/5000][350/535][35456] Loss_D: -0.030018 Loss_G: 0.025268 Loss_D_real: -0.027394 Loss_D_fake 0.002624
[346/5000][355/535][35457] Loss_D: -0.031627 Loss_G: 0.008665 Loss_D_real: -0.020328 Loss_D_fake 0.011299
[346/5000][360/535][35458] Loss_D: -0.030216 Loss_G: 0.027727 Loss_D_real: -0.025607 Loss_D_fake 0.004609
[346/5000][365/535][35459] Loss_D: -0.031629 Loss_G: 0.030747 Loss_D_real: -0.027026 Loss_D_fake 0.004602
[346/5000][370/535][35460] Loss_D: -0.029942 Loss_G: -0.006019 Loss_D_real: -0.010573 Loss_D_fake 0.019369
[346/5000][375/535][35461] Loss_D: -0.030324 Loss_G: 0.014242 Loss_D_real: -0.019737 Loss_D_fake 0.010587
[346/5000][380/535][35462] Loss_D: -0.029216 Loss_G: 0.033863 Loss_D_real: -0.029975 Loss_D_fake -0.000759
[346/5000][385/535][35463] Loss_D: -0.030372 Loss_G: 0.036078 Loss_D_real: -0.033269 Loss_D_fake -0.002897
[346/5000][390/535][35464] Loss_D: -0.030619 Loss_G: 0.000964 Loss_D_real: -0.008746 Loss_D_fake 0.021873
[346/5000][395/535][35465] Loss_D: -0.029645 Loss_G: 0.038509 Loss_D_real: -0.034474 Loss_D_fake -0.004829
[346/5000][400/535][35466] Loss_D: -0.031407 Loss_G: 0.025701 Loss_D_real: -0.024363 Loss_D_fake 0.007044
[346/5000][405/535][35467] Loss_D: -0.030088 Loss_G: -0.004661 Loss_D_real: -0.011508 Loss_D_fake 0.018581
[346/5000][410/535][35468] Loss_D: -0.030325 Loss_G: 0.007182 Loss_D_real: -0.020666 Loss_D_fake 0.009659
[346/5000][415/535][35469] Loss_D: -0.029444 Loss_G: 0.023194 Loss_D_real: -0.028500 Loss_D_fake 0.000944
[346/5000][420/535][35470] Loss_D: -0.030657 Loss_G: 0.020379 Loss_D_real: -0.019397 Loss_D_fake 0.011260
[346/5000][425/535][35471] Loss_D: -0.032209 Loss_G: 0.014861 Loss_D_real: -0.015732 Loss_D_fake 0.016477
[346/5000][430/535][35472] Loss_D: -0.029424 Loss_G: 0.042347 Loss_D_real: -0.031312 Loss_D_fake -0.001888
[346/5000][435/535][35473] Loss_D: -0.029585 Loss_G: -0.001267 Loss_D_real: -0.005060 Loss_D_fake 0.024526
[346/5000][440/535][35474] Loss_D: -0.029616 Loss_G: 0.023779 Loss_D_real: -0.029699 Loss_D_fake -0.000083
[346/5000][445/535][35475] Loss_D: -0.029823 Loss_G: 0.005785 Loss_D_real: -0.013669 Loss_D_fake 0.016155
[346/5000][450/535][35476] Loss_D: -0.031072 Loss_G: 0.025206 Loss_D_real: -0.029071 Loss_D_fake 0.002001
[346/5000][455/535][35477] Loss_D: -0.030384 Loss_G: 0.020780 Loss_D_real: -0.016923 Loss_D_fake 0.013460
[346/5000][460/535][35478] Loss_D: -0.031344 Loss_G: 0.028504 Loss_D_real: -0.018767 Loss_D_fake 0.012577
[346/5000][465/535][35479] Loss_D: -0.029188 Loss_G: 0.014962 Loss_D_real: -0.017552 Loss_D_fake 0.011636
[346/5000][470/535][35480] Loss_D: -0.030199 Loss_G: 0.017967 Loss_D_real: -0.033590 Loss_D_fake -0.003391
[346/5000][475/535][35481] Loss_D: -0.030323 Loss_G: 0.016856 Loss_D_real: -0.011063 Loss_D_fake 0.019261
[346/5000][480/535][35482] Loss_D: -0.030682 Loss_G: 0.020005 Loss_D_real: -0.029179 Loss_D_fake 0.001504
[346/5000][485/535][35483] Loss_D: -0.029787 Loss_G: 0.001546 Loss_D_real: -0.009467 Loss_D_fake 0.020320
[346/5000][490/535][35484] Loss_D: -0.030448 Loss_G: 0.008881 Loss_D_real: -0.024777 Loss_D_fake 0.005671
[346/5000][495/535][35485] Loss_D: -0.031070 Loss_G: 0.006537 Loss_D_real: -0.019040 Loss_D_fake 0.012030
[346/5000][500/535][35486] Loss_D: -0.028481 Loss_G: 0.036530 Loss_D_real: -0.034287 Loss_D_fake -0.005806
[346/5000][505/535][35487] Loss_D: -0.030107 Loss_G: -0.009547 Loss_D_real: 0.005996 Loss_D_fake 0.036102
[346/5000][510/535][35488] Loss_D: -0.030551 Loss_G: 0.023319 Loss_D_real: -0.023682 Loss_D_fake 0.006869
[346/5000][515/535][35489] Loss_D: -0.028760 Loss_G: 0.007633 Loss_D_real: -0.009074 Loss_D_fake 0.019685
[346/5000][520/535][35490] Loss_D: -0.029586 Loss_G: 0.016055 Loss_D_real: -0.021265 Loss_D_fake 0.008321
[346/5000][525/535][35491] Loss_D: -0.030330 Loss_G: 0.018904 Loss_D_real: -0.019966 Loss_D_fake 0.010364
[346/5000][530/535][35492] Loss_D: -0.030220 Loss_G: 0.029331 Loss_D_real: -0.026055 Loss_D_fake 0.004165
[346/5000][535/535][35493] Loss_D: -0.030845 Loss_G: 0.029853 Loss_D_real: -0.036232 Loss_D_fake -0.005388
[347/5000][5/535][35494] Loss_D: -0.031562 Loss_G: 0.014888 Loss_D_real: -0.021747 Loss_D_fake 0.009815
[347/5000][10/535][35495] Loss_D: -0.031748 Loss_G: 0.015893 Loss_D_real: -0.015532 Loss_D_fake 0.016216
[347/5000][15/535][35496] Loss_D: -0.030178 Loss_G: 0.023549 Loss_D_real: -0.022892 Loss_D_fake 0.007286
[347/5000][20/535][35497] Loss_D: -0.029749 Loss_G: 0.028815 Loss_D_real: -0.034466 Loss_D_fake -0.004717
[347/5000][25/535][35498] Loss_D: -0.029606 Loss_G: -0.003275 Loss_D_real: 0.000771 Loss_D_fake 0.030376
[347/5000][30/535][35499] Loss_D: -0.030822 Loss_G: 0.013663 Loss_D_real: -0.022851 Loss_D_fake 0.007971
[347/5000][35/535][35500] Loss_D: -0.030643 Loss_G: 0.021261 Loss_D_real: -0.022839 Loss_D_fake 0.007804
[347/5000][135/535][35501] Loss_D: -0.033642 Loss_G: 0.006640 Loss_D_real: -0.012853 Loss_D_fake 0.020789
[347/5000][140/535][35502] Loss_D: -0.031162 Loss_G: 0.010863 Loss_D_real: -0.015079 Loss_D_fake 0.016083
[347/5000][145/535][35503] Loss_D: -0.029108 Loss_G: 0.001150 Loss_D_real: -0.017872 Loss_D_fake 0.011236
[347/5000][150/535][35504] Loss_D: -0.027865 Loss_G: 0.022397 Loss_D_real: -0.021639 Loss_D_fake 0.006226
[347/5000][155/535][35505] Loss_D: -0.028805 Loss_G: 0.015901 Loss_D_real: -0.024805 Loss_D_fake 0.003999
[347/5000][160/535][35506] Loss_D: -0.029667 Loss_G: 0.014879 Loss_D_real: -0.024315 Loss_D_fake 0.005352
[347/5000][165/535][35507] Loss_D: -0.029837 Loss_G: 0.025075 Loss_D_real: -0.030212 Loss_D_fake -0.000375
[347/5000][170/535][35508] Loss_D: -0.028165 Loss_G: 0.026136 Loss_D_real: -0.033879 Loss_D_fake -0.005713
[347/5000][175/535][35509] Loss_D: -0.029237 Loss_G: 0.005224 Loss_D_real: -0.009248 Loss_D_fake 0.019989
[347/5000][180/535][35510] Loss_D: -0.027990 Loss_G: 0.021799 Loss_D_real: -0.031814 Loss_D_fake -0.003824
[347/5000][185/535][35511] Loss_D: -0.028988 Loss_G: -0.000696 Loss_D_real: -0.008684 Loss_D_fake 0.020304
[347/5000][190/535][35512] Loss_D: -0.030178 Loss_G: 0.016157 Loss_D_real: -0.020870 Loss_D_fake 0.009308
[347/5000][195/535][35513] Loss_D: -0.029971 Loss_G: 0.005706 Loss_D_real: -0.008131 Loss_D_fake 0.021840
[347/5000][200/535][35514] Loss_D: -0.030519 Loss_G: 0.011298 Loss_D_real: -0.020184 Loss_D_fake 0.010335
[347/5000][205/535][35515] Loss_D: -0.029757 Loss_G: 0.024279 Loss_D_real: -0.027197 Loss_D_fake 0.002560
[347/5000][210/535][35516] Loss_D: -0.031374 Loss_G: 0.010326 Loss_D_real: -0.022601 Loss_D_fake 0.008772
[347/5000][215/535][35517] Loss_D: -0.031336 Loss_G: 0.013895 Loss_D_real: -0.027358 Loss_D_fake 0.003978
[347/5000][220/535][35518] Loss_D: -0.029762 Loss_G: 0.018039 Loss_D_real: -0.016741 Loss_D_fake 0.013021
[347/5000][225/535][35519] Loss_D: -0.029022 Loss_G: 0.018947 Loss_D_real: -0.023595 Loss_D_fake 0.005427
[347/5000][230/535][35520] Loss_D: -0.028862 Loss_G: 0.036029 Loss_D_real: -0.036125 Loss_D_fake -0.007263
[347/5000][235/535][35521] Loss_D: -0.029143 Loss_G: -0.005849 Loss_D_real: -0.003628 Loss_D_fake 0.025515
[347/5000][240/535][35522] Loss_D: -0.028072 Loss_G: 0.025850 Loss_D_real: -0.024331 Loss_D_fake 0.003741
[347/5000][245/535][35523] Loss_D: -0.029742 Loss_G: 0.017616 Loss_D_real: -0.021876 Loss_D_fake 0.007867
[347/5000][250/535][35524] Loss_D: -0.029876 Loss_G: 0.025680 Loss_D_real: -0.029505 Loss_D_fake 0.000372
[347/5000][255/535][35525] Loss_D: -0.030566 Loss_G: 0.017681 Loss_D_real: -0.024277 Loss_D_fake 0.006289
[347/5000][260/535][35526] Loss_D: -0.031286 Loss_G: 0.018669 Loss_D_real: -0.023534 Loss_D_fake 0.007752
[347/5000][265/535][35527] Loss_D: -0.031325 Loss_G: 0.033740 Loss_D_real: -0.032261 Loss_D_fake -0.000937
[347/5000][270/535][35528] Loss_D: -0.031490 Loss_G: -0.003665 Loss_D_real: -0.000830 Loss_D_fake 0.030660
[347/5000][275/535][35529] Loss_D: -0.030896 Loss_G: 0.031363 Loss_D_real: -0.017837 Loss_D_fake 0.013060
[347/5000][280/535][35530] Loss_D: -0.030216 Loss_G: 0.006179 Loss_D_real: -0.014783 Loss_D_fake 0.015433
[347/5000][285/535][35531] Loss_D: -0.031541 Loss_G: 0.025404 Loss_D_real: -0.018577 Loss_D_fake 0.012965
[347/5000][290/535][35532] Loss_D: -0.031210 Loss_G: -0.001583 Loss_D_real: -0.003551 Loss_D_fake 0.027658
[347/5000][295/535][35533] Loss_D: -0.029579 Loss_G: 0.043204 Loss_D_real: -0.039099 Loss_D_fake -0.009519
[347/5000][300/535][35534] Loss_D: -0.030770 Loss_G: 0.022858 Loss_D_real: -0.028937 Loss_D_fake 0.001833
[347/5000][305/535][35535] Loss_D: -0.030505 Loss_G: 0.016566 Loss_D_real: -0.012995 Loss_D_fake 0.017510
[347/5000][310/535][35536] Loss_D: -0.029589 Loss_G: 0.041558 Loss_D_real: -0.043754 Loss_D_fake -0.014165
[347/5000][315/535][35537] Loss_D: -0.031277 Loss_G: 0.027356 Loss_D_real: -0.030059 Loss_D_fake 0.001218
[347/5000][320/535][35538] Loss_D: -0.031578 Loss_G: 0.020993 Loss_D_real: -0.022218 Loss_D_fake 0.009361
[347/5000][325/535][35539] Loss_D: -0.030366 Loss_G: 0.034415 Loss_D_real: -0.030649 Loss_D_fake -0.000282
[347/5000][330/535][35540] Loss_D: -0.030271 Loss_G: 0.025823 Loss_D_real: -0.024039 Loss_D_fake 0.006232
[347/5000][335/535][35541] Loss_D: -0.031022 Loss_G: 0.021928 Loss_D_real: -0.030879 Loss_D_fake 0.000144
[347/5000][340/535][35542] Loss_D: -0.030599 Loss_G: 0.041520 Loss_D_real: -0.030059 Loss_D_fake 0.000540
[347/5000][345/535][35543] Loss_D: -0.031329 Loss_G: 0.015266 Loss_D_real: -0.019050 Loss_D_fake 0.012278
[347/5000][350/535][35544] Loss_D: -0.030398 Loss_G: 0.012944 Loss_D_real: -0.013738 Loss_D_fake 0.016660
[347/5000][355/535][35545] Loss_D: -0.030983 Loss_G: 0.019708 Loss_D_real: -0.025343 Loss_D_fake 0.005639
[347/5000][360/535][35546] Loss_D: -0.030881 Loss_G: 0.006574 Loss_D_real: -0.020886 Loss_D_fake 0.009995
[347/5000][365/535][35547] Loss_D: -0.028449 Loss_G: 0.023006 Loss_D_real: -0.019945 Loss_D_fake 0.008504
[347/5000][370/535][35548] Loss_D: -0.029580 Loss_G: 0.002716 Loss_D_real: 0.003077 Loss_D_fake 0.032658
[347/5000][375/535][35549] Loss_D: -0.030277 Loss_G: 0.017757 Loss_D_real: -0.028979 Loss_D_fake 0.001298
[347/5000][380/535][35550] Loss_D: -0.029620 Loss_G: 0.039617 Loss_D_real: -0.038840 Loss_D_fake -0.009220
[347/5000][385/535][35551] Loss_D: -0.029141 Loss_G: -0.005473 Loss_D_real: 0.003416 Loss_D_fake 0.032558
[347/5000][390/535][35552] Loss_D: -0.028418 Loss_G: 0.023963 Loss_D_real: -0.024552 Loss_D_fake 0.003865
[347/5000][395/535][35553] Loss_D: -0.030117 Loss_G: 0.001390 Loss_D_real: -0.014209 Loss_D_fake 0.015907
[347/5000][400/535][35554] Loss_D: -0.029834 Loss_G: 0.020212 Loss_D_real: -0.022761 Loss_D_fake 0.007072
[347/5000][405/535][35555] Loss_D: -0.030771 Loss_G: 0.032146 Loss_D_real: -0.034938 Loss_D_fake -0.004167
[347/5000][410/535][35556] Loss_D: -0.029620 Loss_G: -0.015168 Loss_D_real: 0.008727 Loss_D_fake 0.038346
[347/5000][415/535][35557] Loss_D: -0.030227 Loss_G: 0.013516 Loss_D_real: -0.016269 Loss_D_fake 0.013958
[347/5000][420/535][35558] Loss_D: -0.030254 Loss_G: 0.028668 Loss_D_real: -0.026349 Loss_D_fake 0.003905
[347/5000][425/535][35559] Loss_D: -0.030752 Loss_G: -0.003153 Loss_D_real: -0.009863 Loss_D_fake 0.020889
[347/5000][430/535][35560] Loss_D: -0.029110 Loss_G: 0.027909 Loss_D_real: -0.031076 Loss_D_fake -0.001966
[347/5000][435/535][35561] Loss_D: -0.030569 Loss_G: 0.011371 Loss_D_real: -0.017446 Loss_D_fake 0.013123
[347/5000][440/535][35562] Loss_D: -0.030987 Loss_G: 0.035584 Loss_D_real: -0.031048 Loss_D_fake -0.000061
[347/5000][445/535][35563] Loss_D: -0.030018 Loss_G: -0.002803 Loss_D_real: -0.000105 Loss_D_fake 0.029913
[347/5000][450/535][35564] Loss_D: -0.030194 Loss_G: 0.024577 Loss_D_real: -0.029973 Loss_D_fake 0.000222
[347/5000][455/535][35565] Loss_D: -0.030372 Loss_G: 0.008740 Loss_D_real: -0.019774 Loss_D_fake 0.010598
[347/5000][460/535][35566] Loss_D: -0.030686 Loss_G: 0.017058 Loss_D_real: -0.019985 Loss_D_fake 0.010701
[347/5000][465/535][35567] Loss_D: -0.031958 Loss_G: 0.017917 Loss_D_real: -0.021646 Loss_D_fake 0.010312
[347/5000][470/535][35568] Loss_D: -0.032946 Loss_G: -0.005437 Loss_D_real: -0.004928 Loss_D_fake 0.028018
[347/5000][475/535][35569] Loss_D: -0.030597 Loss_G: 0.028833 Loss_D_real: -0.026508 Loss_D_fake 0.004089
[347/5000][480/535][35570] Loss_D: -0.028223 Loss_G: -0.007015 Loss_D_real: -0.000344 Loss_D_fake 0.027879
[347/5000][485/535][35571] Loss_D: -0.029544 Loss_G: 0.022714 Loss_D_real: -0.030310 Loss_D_fake -0.000766
[347/5000][490/535][35572] Loss_D: -0.029963 Loss_G: 0.004738 Loss_D_real: -0.006139 Loss_D_fake 0.023824
[347/5000][495/535][35573] Loss_D: -0.028546 Loss_G: 0.028883 Loss_D_real: -0.032102 Loss_D_fake -0.003556
[347/5000][500/535][35574] Loss_D: -0.030273 Loss_G: 0.000721 Loss_D_real: -0.005902 Loss_D_fake 0.024372
[347/5000][505/535][35575] Loss_D: -0.029992 Loss_G: 0.029069 Loss_D_real: -0.032179 Loss_D_fake -0.002187
[347/5000][510/535][35576] Loss_D: -0.030617 Loss_G: 0.013580 Loss_D_real: -0.000118 Loss_D_fake 0.030499
[347/5000][515/535][35577] Loss_D: -0.030660 Loss_G: 0.023321 Loss_D_real: -0.020071 Loss_D_fake 0.010588
[347/5000][520/535][35578] Loss_D: -0.031236 Loss_G: 0.013155 Loss_D_real: -0.022468 Loss_D_fake 0.008768
[347/5000][525/535][35579] Loss_D: -0.030878 Loss_G: 0.007621 Loss_D_real: -0.008424 Loss_D_fake 0.022454
[347/5000][530/535][35580] Loss_D: -0.030908 Loss_G: 0.008837 Loss_D_real: -0.015369 Loss_D_fake 0.015539
[347/5000][535/535][35581] Loss_D: -0.031414 Loss_G: -0.002068 Loss_D_real: -0.032434 Loss_D_fake -0.001020
[348/5000][5/535][35582] Loss_D: -0.031563 Loss_G: 0.031347 Loss_D_real: -0.024429 Loss_D_fake 0.007135
[348/5000][10/535][35583] Loss_D: -0.029138 Loss_G: 0.022944 Loss_D_real: -0.027306 Loss_D_fake 0.001831
[348/5000][15/535][35584] Loss_D: -0.031867 Loss_G: -0.000529 Loss_D_real: -0.006950 Loss_D_fake 0.024917
[348/5000][20/535][35585] Loss_D: -0.030797 Loss_G: 0.036231 Loss_D_real: -0.025421 Loss_D_fake 0.005376
[348/5000][25/535][35586] Loss_D: -0.032797 Loss_G: 0.008146 Loss_D_real: -0.011347 Loss_D_fake 0.021451
[348/5000][30/535][35587] Loss_D: -0.030258 Loss_G: 0.007007 Loss_D_real: -0.015886 Loss_D_fake 0.014372
[348/5000][35/535][35588] Loss_D: -0.027264 Loss_G: 0.044762 Loss_D_real: -0.045649 Loss_D_fake -0.018385
[348/5000][40/535][35589] Loss_D: -0.030991 Loss_G: 0.014695 Loss_D_real: -0.020580 Loss_D_fake 0.010411
[348/5000][45/535][35590] Loss_D: -0.030916 Loss_G: 0.015188 Loss_D_real: -0.028842 Loss_D_fake 0.002075
[348/5000][50/535][35591] Loss_D: -0.032022 Loss_G: 0.012198 Loss_D_real: -0.014906 Loss_D_fake 0.017116
[348/5000][55/535][35592] Loss_D: -0.030209 Loss_G: 0.041931 Loss_D_real: -0.032315 Loss_D_fake -0.002106
[348/5000][60/535][35593] Loss_D: -0.030384 Loss_G: 0.000219 Loss_D_real: -0.011350 Loss_D_fake 0.019033
[348/5000][65/535][35594] Loss_D: -0.028067 Loss_G: 0.032235 Loss_D_real: -0.043083 Loss_D_fake -0.015015
[348/5000][70/535][35595] Loss_D: -0.031838 Loss_G: 0.028566 Loss_D_real: -0.029828 Loss_D_fake 0.002010
[348/5000][75/535][35596] Loss_D: -0.030574 Loss_G: -0.001197 Loss_D_real: -0.009875 Loss_D_fake 0.020699
[348/5000][80/535][35597] Loss_D: -0.030224 Loss_G: 0.015819 Loss_D_real: -0.023439 Loss_D_fake 0.006785
[348/5000][85/535][35598] Loss_D: -0.031437 Loss_G: 0.012398 Loss_D_real: -0.014746 Loss_D_fake 0.016691
[348/5000][90/535][35599] Loss_D: -0.030771 Loss_G: 0.018449 Loss_D_real: -0.023226 Loss_D_fake 0.007545
[348/5000][95/535][35600] Loss_D: -0.031122 Loss_G: 0.023102 Loss_D_real: -0.021640 Loss_D_fake 0.009482
[348/5000][100/535][35601] Loss_D: -0.030875 Loss_G: 0.026098 Loss_D_real: -0.033252 Loss_D_fake -0.002377
[348/5000][105/535][35602] Loss_D: -0.030699 Loss_G: 0.002438 Loss_D_real: -0.005555 Loss_D_fake 0.025144
[348/5000][110/535][35603] Loss_D: -0.031520 Loss_G: 0.022867 Loss_D_real: -0.031382 Loss_D_fake 0.000138
[348/5000][115/535][35604] Loss_D: -0.030111 Loss_G: -0.007943 Loss_D_real: -0.002608 Loss_D_fake 0.027503
[348/5000][120/535][35605] Loss_D: -0.030154 Loss_G: 0.020170 Loss_D_real: -0.021970 Loss_D_fake 0.008184
[348/5000][125/535][35606] Loss_D: -0.031764 Loss_G: 0.017819 Loss_D_real: -0.016134 Loss_D_fake 0.015630
[348/5000][130/535][35607] Loss_D: -0.030556 Loss_G: 0.020384 Loss_D_real: -0.018376 Loss_D_fake 0.012180
[348/5000][135/535][35608] Loss_D: -0.030773 Loss_G: 0.032073 Loss_D_real: -0.030163 Loss_D_fake 0.000611
[348/5000][140/535][35609] Loss_D: -0.030561 Loss_G: 0.008507 Loss_D_real: -0.014983 Loss_D_fake 0.015578
[348/5000][145/535][35610] Loss_D: -0.031469 Loss_G: 0.002212 Loss_D_real: -0.013876 Loss_D_fake 0.017593
[348/5000][150/535][35611] Loss_D: -0.029300 Loss_G: 0.029849 Loss_D_real: -0.033064 Loss_D_fake -0.003764
[348/5000][155/535][35612] Loss_D: -0.029744 Loss_G: 0.029454 Loss_D_real: -0.029167 Loss_D_fake 0.000577
[348/5000][160/535][35613] Loss_D: -0.031961 Loss_G: 0.010752 Loss_D_real: -0.009776 Loss_D_fake 0.022186
[348/5000][165/535][35614] Loss_D: -0.027753 Loss_G: 0.037174 Loss_D_real: -0.034491 Loss_D_fake -0.006738
[348/5000][170/535][35615] Loss_D: -0.030583 Loss_G: 0.005784 Loss_D_real: -0.016374 Loss_D_fake 0.014208
[348/5000][175/535][35616] Loss_D: -0.030191 Loss_G: 0.018746 Loss_D_real: -0.038067 Loss_D_fake -0.007876
[348/5000][180/535][35617] Loss_D: -0.029650 Loss_G: 0.038764 Loss_D_real: -0.031664 Loss_D_fake -0.002014
[348/5000][185/535][35618] Loss_D: -0.030437 Loss_G: -0.023770 Loss_D_real: 0.004798 Loss_D_fake 0.035235
[348/5000][190/535][35619] Loss_D: -0.028247 Loss_G: 0.025767 Loss_D_real: -0.028314 Loss_D_fake -0.000067
[348/5000][195/535][35620] Loss_D: -0.029874 Loss_G: 0.008025 Loss_D_real: -0.017175 Loss_D_fake 0.012699
[348/5000][200/535][35621] Loss_D: -0.029902 Loss_G: 0.028366 Loss_D_real: -0.024200 Loss_D_fake 0.005702
[348/5000][205/535][35622] Loss_D: -0.030259 Loss_G: 0.012334 Loss_D_real: -0.014482 Loss_D_fake 0.015777
[348/5000][210/535][35623] Loss_D: -0.028757 Loss_G: 0.022100 Loss_D_real: -0.030133 Loss_D_fake -0.001377
[348/5000][215/535][35624] Loss_D: -0.030452 Loss_G: 0.028333 Loss_D_real: -0.031873 Loss_D_fake -0.001422
[348/5000][220/535][35625] Loss_D: -0.028919 Loss_G: -0.002685 Loss_D_real: 0.000860 Loss_D_fake 0.029779
[348/5000][225/535][35626] Loss_D: -0.029205 Loss_G: 0.023039 Loss_D_real: -0.025078 Loss_D_fake 0.004126
[348/5000][230/535][35627] Loss_D: -0.030166 Loss_G: -0.008579 Loss_D_real: -0.007621 Loss_D_fake 0.022545
[348/5000][235/535][35628] Loss_D: -0.029396 Loss_G: 0.014571 Loss_D_real: -0.017576 Loss_D_fake 0.011821
[348/5000][240/535][35629] Loss_D: -0.029627 Loss_G: 0.022694 Loss_D_real: -0.019311 Loss_D_fake 0.010316
[348/5000][245/535][35630] Loss_D: -0.030017 Loss_G: 0.031072 Loss_D_real: -0.034123 Loss_D_fake -0.004105
[348/5000][250/535][35631] Loss_D: -0.030799 Loss_G: 0.021114 Loss_D_real: -0.025348 Loss_D_fake 0.005452
[348/5000][255/535][35632] Loss_D: -0.031058 Loss_G: -0.000487 Loss_D_real: -0.005410 Loss_D_fake 0.025648
[348/5000][260/535][35633] Loss_D: -0.030450 Loss_G: 0.032116 Loss_D_real: -0.031750 Loss_D_fake -0.001300
[348/5000][265/535][35634] Loss_D: -0.030667 Loss_G: 0.002295 Loss_D_real: -0.006068 Loss_D_fake 0.024599
[348/5000][270/535][35635] Loss_D: -0.028866 Loss_G: 0.002809 Loss_D_real: -0.010040 Loss_D_fake 0.018825
[348/5000][275/535][35636] Loss_D: -0.029109 Loss_G: 0.002662 Loss_D_real: -0.013426 Loss_D_fake 0.015683
[348/5000][280/535][35637] Loss_D: -0.031190 Loss_G: 0.020548 Loss_D_real: -0.022181 Loss_D_fake 0.009008
[348/5000][285/535][35638] Loss_D: -0.030377 Loss_G: 0.023431 Loss_D_real: -0.031134 Loss_D_fake -0.000756
[348/5000][290/535][35639] Loss_D: -0.031856 Loss_G: 0.032583 Loss_D_real: -0.034944 Loss_D_fake -0.003088
[348/5000][295/535][35640] Loss_D: -0.030826 Loss_G: 0.008950 Loss_D_real: -0.017743 Loss_D_fake 0.013083
[348/5000][300/535][35641] Loss_D: -0.031287 Loss_G: 0.027866 Loss_D_real: -0.030112 Loss_D_fake 0.001175
[348/5000][305/535][35642] Loss_D: -0.029625 Loss_G: -0.006173 Loss_D_real: 0.001204 Loss_D_fake 0.030829
[348/5000][310/535][35643] Loss_D: -0.029972 Loss_G: 0.015463 Loss_D_real: -0.018818 Loss_D_fake 0.011154
[348/5000][315/535][35644] Loss_D: -0.029321 Loss_G: 0.022062 Loss_D_real: -0.020597 Loss_D_fake 0.008724
[348/5000][320/535][35645] Loss_D: -0.031885 Loss_G: 0.023734 Loss_D_real: -0.020420 Loss_D_fake 0.011465
[348/5000][325/535][35646] Loss_D: -0.030058 Loss_G: 0.006783 Loss_D_real: -0.007446 Loss_D_fake 0.022612
[348/5000][330/535][35647] Loss_D: -0.028727 Loss_G: 0.028397 Loss_D_real: -0.028828 Loss_D_fake -0.000101
[348/5000][335/535][35648] Loss_D: -0.031574 Loss_G: 0.015911 Loss_D_real: -0.015719 Loss_D_fake 0.015854
[348/5000][340/535][35649] Loss_D: -0.030501 Loss_G: 0.003983 Loss_D_real: -0.019984 Loss_D_fake 0.010517
[348/5000][345/535][35650] Loss_D: -0.030863 Loss_G: 0.035973 Loss_D_real: -0.032499 Loss_D_fake -0.001637
[348/5000][350/535][35651] Loss_D: -0.029807 Loss_G: 0.005969 Loss_D_real: -0.013899 Loss_D_fake 0.015908
[348/5000][355/535][35652] Loss_D: -0.029800 Loss_G: 0.012257 Loss_D_real: -0.007914 Loss_D_fake 0.021886
[348/5000][360/535][35653] Loss_D: -0.031693 Loss_G: 0.007092 Loss_D_real: -0.009914 Loss_D_fake 0.021779
[348/5000][365/535][35654] Loss_D: -0.030188 Loss_G: 0.018912 Loss_D_real: -0.021240 Loss_D_fake 0.008948
[348/5000][370/535][35655] Loss_D: -0.030687 Loss_G: 0.038847 Loss_D_real: -0.030081 Loss_D_fake 0.000607
[348/5000][375/535][35656] Loss_D: -0.030928 Loss_G: 0.000952 Loss_D_real: -0.008360 Loss_D_fake 0.022569
[348/5000][380/535][35657] Loss_D: -0.029358 Loss_G: 0.033113 Loss_D_real: -0.029194 Loss_D_fake 0.000165
[348/5000][385/535][35658] Loss_D: -0.030538 Loss_G: 0.013942 Loss_D_real: -0.017997 Loss_D_fake 0.012541
[348/5000][390/535][35659] Loss_D: -0.029937 Loss_G: 0.026847 Loss_D_real: -0.022937 Loss_D_fake 0.007000
[348/5000][395/535][35660] Loss_D: -0.031821 Loss_G: 0.012059 Loss_D_real: -0.014067 Loss_D_fake 0.017754
[348/5000][400/535][35661] Loss_D: -0.030966 Loss_G: 0.016922 Loss_D_real: -0.016307 Loss_D_fake 0.014659
[348/5000][405/535][35662] Loss_D: -0.031414 Loss_G: -0.009751 Loss_D_real: -0.002217 Loss_D_fake 0.029197
[348/5000][410/535][35663] Loss_D: -0.030769 Loss_G: 0.019734 Loss_D_real: -0.011321 Loss_D_fake 0.019447
[348/5000][415/535][35664] Loss_D: -0.031660 Loss_G: 0.010538 Loss_D_real: -0.012361 Loss_D_fake 0.019300
[348/5000][420/535][35665] Loss_D: -0.030480 Loss_G: 0.034718 Loss_D_real: -0.032385 Loss_D_fake -0.001905
[348/5000][425/535][35666] Loss_D: -0.030484 Loss_G: -0.004383 Loss_D_real: -0.009912 Loss_D_fake 0.020572
[348/5000][430/535][35667] Loss_D: -0.030736 Loss_G: 0.034071 Loss_D_real: -0.026618 Loss_D_fake 0.004118
[348/5000][435/535][35668] Loss_D: -0.031373 Loss_G: -0.005180 Loss_D_real: -0.007070 Loss_D_fake 0.024304
[348/5000][440/535][35669] Loss_D: -0.030723 Loss_G: 0.013437 Loss_D_real: -0.019561 Loss_D_fake 0.011162
[348/5000][445/535][35670] Loss_D: -0.030974 Loss_G: 0.015321 Loss_D_real: -0.029016 Loss_D_fake 0.001959
[348/5000][450/535][35671] Loss_D: -0.031600 Loss_G: 0.027208 Loss_D_real: -0.024960 Loss_D_fake 0.006640
[348/5000][455/535][35672] Loss_D: -0.030295 Loss_G: 0.000688 Loss_D_real: -0.013564 Loss_D_fake 0.016731
[348/5000][460/535][35673] Loss_D: -0.031091 Loss_G: 0.017474 Loss_D_real: -0.025835 Loss_D_fake 0.005256
[348/5000][465/535][35674] Loss_D: -0.029583 Loss_G: -0.004454 Loss_D_real: -0.006015 Loss_D_fake 0.023568
[348/5000][470/535][35675] Loss_D: -0.029533 Loss_G: 0.022069 Loss_D_real: -0.028802 Loss_D_fake 0.000730
[348/5000][475/535][35676] Loss_D: -0.031559 Loss_G: 0.018538 Loss_D_real: -0.021766 Loss_D_fake 0.009793
[348/5000][480/535][35677] Loss_D: -0.029679 Loss_G: 0.006337 Loss_D_real: -0.020010 Loss_D_fake 0.009669
[348/5000][485/535][35678] Loss_D: -0.028819 Loss_G: 0.032452 Loss_D_real: -0.028450 Loss_D_fake 0.000370
[348/5000][490/535][35679] Loss_D: -0.031063 Loss_G: 0.012155 Loss_D_real: -0.026942 Loss_D_fake 0.004121
[348/5000][495/535][35680] Loss_D: -0.030023 Loss_G: 0.004435 Loss_D_real: -0.014236 Loss_D_fake 0.015787
[348/5000][500/535][35681] Loss_D: -0.029536 Loss_G: 0.030467 Loss_D_real: -0.028151 Loss_D_fake 0.001385
[348/5000][505/535][35682] Loss_D: -0.030362 Loss_G: -0.017360 Loss_D_real: 0.014477 Loss_D_fake 0.044839
[348/5000][510/535][35683] Loss_D: -0.029480 Loss_G: 0.007123 Loss_D_real: -0.006850 Loss_D_fake 0.022630
[348/5000][515/535][35684] Loss_D: -0.029197 Loss_G: 0.030496 Loss_D_real: -0.036712 Loss_D_fake -0.007516
[348/5000][520/535][35685] Loss_D: -0.030615 Loss_G: -0.001938 Loss_D_real: -0.010324 Loss_D_fake 0.020291
[348/5000][525/535][35686] Loss_D: -0.030691 Loss_G: 0.032207 Loss_D_real: -0.023674 Loss_D_fake 0.007018
[348/5000][530/535][35687] Loss_D: -0.031014 Loss_G: 0.014424 Loss_D_real: -0.016299 Loss_D_fake 0.014714
[348/5000][535/535][35688] Loss_D: -0.032375 Loss_G: 0.021059 Loss_D_real: -0.031367 Loss_D_fake 0.001008
[349/5000][5/535][35689] Loss_D: -0.032266 Loss_G: 0.001832 Loss_D_real: -0.005034 Loss_D_fake 0.027232
[349/5000][10/535][35690] Loss_D: -0.028363 Loss_G: 0.015082 Loss_D_real: -0.020312 Loss_D_fake 0.008051
[349/5000][15/535][35691] Loss_D: -0.031493 Loss_G: 0.018216 Loss_D_real: -0.023314 Loss_D_fake 0.008179
[349/5000][20/535][35692] Loss_D: -0.030544 Loss_G: 0.040750 Loss_D_real: -0.035402 Loss_D_fake -0.004858
[349/5000][25/535][35693] Loss_D: -0.031524 Loss_G: 0.024680 Loss_D_real: -0.024374 Loss_D_fake 0.007151
[349/5000][30/535][35694] Loss_D: -0.029831 Loss_G: 0.024066 Loss_D_real: -0.032218 Loss_D_fake -0.002387
[349/5000][35/535][35695] Loss_D: -0.030266 Loss_G: 0.032037 Loss_D_real: -0.032557 Loss_D_fake -0.002292
[349/5000][40/535][35696] Loss_D: -0.031478 Loss_G: 0.015666 Loss_D_real: -0.019689 Loss_D_fake 0.011789
[349/5000][45/535][35697] Loss_D: -0.030191 Loss_G: 0.030511 Loss_D_real: -0.036253 Loss_D_fake -0.006062
[349/5000][50/535][35698] Loss_D: -0.029686 Loss_G: -0.000934 Loss_D_real: -0.011174 Loss_D_fake 0.018511
[349/5000][55/535][35699] Loss_D: -0.030178 Loss_G: 0.012828 Loss_D_real: -0.015281 Loss_D_fake 0.014897
[349/5000][60/535][35700] Loss_D: -0.031419 Loss_G: 0.023152 Loss_D_real: -0.034430 Loss_D_fake -0.003011
[349/5000][65/535][35701] Loss_D: -0.029515 Loss_G: 0.010490 Loss_D_real: -0.018153 Loss_D_fake 0.011362
[349/5000][70/535][35702] Loss_D: -0.031344 Loss_G: 0.026106 Loss_D_real: -0.020490 Loss_D_fake 0.010855
[349/5000][75/535][35703] Loss_D: -0.028803 Loss_G: -0.004405 Loss_D_real: -0.001296 Loss_D_fake 0.027508
[349/5000][80/535][35704] Loss_D: -0.030413 Loss_G: 0.002954 Loss_D_real: -0.013339 Loss_D_fake 0.017074
[349/5000][85/535][35705] Loss_D: -0.030059 Loss_G: 0.007644 Loss_D_real: -0.013872 Loss_D_fake 0.016187
[349/5000][90/535][35706] Loss_D: -0.030395 Loss_G: 0.037358 Loss_D_real: -0.041266 Loss_D_fake -0.010871
[349/5000][95/535][35707] Loss_D: -0.031392 Loss_G: 0.000246 Loss_D_real: 0.005061 Loss_D_fake 0.036453
[349/5000][100/535][35708] Loss_D: -0.030499 Loss_G: 0.010492 Loss_D_real: -0.013665 Loss_D_fake 0.016835
[349/5000][105/535][35709] Loss_D: -0.030553 Loss_G: 0.009232 Loss_D_real: -0.015139 Loss_D_fake 0.015414
[349/5000][110/535][35710] Loss_D: -0.030052 Loss_G: 0.029018 Loss_D_real: -0.027959 Loss_D_fake 0.002094
[349/5000][115/535][35711] Loss_D: -0.031060 Loss_G: -0.008807 Loss_D_real: 0.002496 Loss_D_fake 0.033555
[349/5000][120/535][35712] Loss_D: -0.029897 Loss_G: 0.014418 Loss_D_real: -0.019627 Loss_D_fake 0.010270
[349/5000][125/535][35713] Loss_D: -0.029633 Loss_G: 0.022960 Loss_D_real: -0.027449 Loss_D_fake 0.002185
[349/5000][130/535][35714] Loss_D: -0.031849 Loss_G: 0.030225 Loss_D_real: -0.025097 Loss_D_fake 0.006752
[349/5000][135/535][35715] Loss_D: -0.030812 Loss_G: 0.009156 Loss_D_real: -0.012693 Loss_D_fake 0.018119
[349/5000][140/535][35716] Loss_D: -0.031189 Loss_G: 0.024707 Loss_D_real: -0.033589 Loss_D_fake -0.002400
[349/5000][145/535][35717] Loss_D: -0.032142 Loss_G: 0.027543 Loss_D_real: -0.026618 Loss_D_fake 0.005524
[349/5000][150/535][35718] Loss_D: -0.029458 Loss_G: -0.007200 Loss_D_real: -0.003837 Loss_D_fake 0.025621
[349/5000][155/535][35719] Loss_D: -0.027928 Loss_G: -0.011332 Loss_D_real: -0.002121 Loss_D_fake 0.025808
[349/5000][160/535][35720] Loss_D: -0.029264 Loss_G: -0.005182 Loss_D_real: -0.000797 Loss_D_fake 0.028467
[349/5000][165/535][35721] Loss_D: -0.030461 Loss_G: 0.002579 Loss_D_real: -0.024976 Loss_D_fake 0.005485
[349/5000][170/535][35722] Loss_D: -0.030181 Loss_G: 0.029991 Loss_D_real: -0.029006 Loss_D_fake 0.001176
[349/5000][175/535][35723] Loss_D: -0.031797 Loss_G: 0.019525 Loss_D_real: -0.027508 Loss_D_fake 0.004289
[349/5000][180/535][35724] Loss_D: -0.030645 Loss_G: 0.020607 Loss_D_real: -0.017802 Loss_D_fake 0.012843
[349/5000][185/535][35725] Loss_D: -0.030979 Loss_G: 0.022635 Loss_D_real: -0.026739 Loss_D_fake 0.004240
[349/5000][190/535][35726] Loss_D: -0.032142 Loss_G: -0.000488 Loss_D_real: -0.005232 Loss_D_fake 0.026910
[349/5000][195/535][35727] Loss_D: -0.031541 Loss_G: 0.021782 Loss_D_real: -0.033496 Loss_D_fake -0.001955
[349/5000][200/535][35728] Loss_D: -0.030775 Loss_G: 0.019317 Loss_D_real: -0.012328 Loss_D_fake 0.018447
[349/5000][205/535][35729] Loss_D: -0.031788 Loss_G: 0.003978 Loss_D_real: -0.016722 Loss_D_fake 0.015066
[349/5000][210/535][35730] Loss_D: -0.030209 Loss_G: 0.033798 Loss_D_real: -0.023912 Loss_D_fake 0.006296
[349/5000][215/535][35731] Loss_D: -0.031583 Loss_G: 0.003504 Loss_D_real: -0.005884 Loss_D_fake 0.025699
[349/5000][220/535][35732] Loss_D: -0.030240 Loss_G: 0.022976 Loss_D_real: -0.028258 Loss_D_fake 0.001982
[349/5000][225/535][35733] Loss_D: -0.029153 Loss_G: -0.014399 Loss_D_real: 0.002881 Loss_D_fake 0.032035
[349/5000][230/535][35734] Loss_D: -0.031035 Loss_G: 0.013509 Loss_D_real: -0.026319 Loss_D_fake 0.004716
[349/5000][235/535][35735] Loss_D: -0.031581 Loss_G: 0.016831 Loss_D_real: -0.034598 Loss_D_fake -0.003017
[349/5000][240/535][35736] Loss_D: -0.031362 Loss_G: 0.024621 Loss_D_real: -0.021670 Loss_D_fake 0.009692
[349/5000][245/535][35737] Loss_D: -0.030389 Loss_G: -0.004761 Loss_D_real: -0.004429 Loss_D_fake 0.025960
[349/5000][250/535][35738] Loss_D: -0.029292 Loss_G: 0.034131 Loss_D_real: -0.032748 Loss_D_fake -0.003456
[349/5000][255/535][35739] Loss_D: -0.030049 Loss_G: 0.026434 Loss_D_real: -0.021969 Loss_D_fake 0.008080
[349/5000][260/535][35740] Loss_D: -0.029787 Loss_G: 0.028277 Loss_D_real: -0.034162 Loss_D_fake -0.004375
[349/5000][265/535][35741] Loss_D: -0.029212 Loss_G: -0.002379 Loss_D_real: -0.002528 Loss_D_fake 0.026685
[349/5000][270/535][35742] Loss_D: -0.029126 Loss_G: 0.023510 Loss_D_real: -0.032876 Loss_D_fake -0.003750
[349/5000][275/535][35743] Loss_D: -0.030852 Loss_G: 0.012452 Loss_D_real: -0.014291 Loss_D_fake 0.016560
[349/5000][280/535][35744] Loss_D: -0.030017 Loss_G: 0.014883 Loss_D_real: -0.021512 Loss_D_fake 0.008505
[349/5000][285/535][35745] Loss_D: -0.031427 Loss_G: 0.011764 Loss_D_real: -0.014918 Loss_D_fake 0.016509
[349/5000][290/535][35746] Loss_D: -0.031791 Loss_G: 0.025028 Loss_D_real: -0.020845 Loss_D_fake 0.010946
[349/5000][295/535][35747] Loss_D: -0.030238 Loss_G: 0.003458 Loss_D_real: -0.008976 Loss_D_fake 0.021262
[349/5000][300/535][35748] Loss_D: -0.030362 Loss_G: 0.026157 Loss_D_real: -0.022436 Loss_D_fake 0.007926
[349/5000][305/535][35749] Loss_D: -0.028186 Loss_G: -0.015581 Loss_D_real: 0.008198 Loss_D_fake 0.036384
[349/5000][310/535][35750] Loss_D: -0.030034 Loss_G: 0.004382 Loss_D_real: -0.010273 Loss_D_fake 0.019761
[349/5000][315/535][35751] Loss_D: -0.027883 Loss_G: 0.010839 Loss_D_real: -0.016136 Loss_D_fake 0.011748
[349/5000][320/535][35752] Loss_D: -0.028274 Loss_G: 0.014977 Loss_D_real: -0.029831 Loss_D_fake -0.001557
[349/5000][325/535][35753] Loss_D: -0.029495 Loss_G: 0.027373 Loss_D_real: -0.022328 Loss_D_fake 0.007167
[349/5000][330/535][35754] Loss_D: -0.030126 Loss_G: 0.029572 Loss_D_real: -0.028266 Loss_D_fake 0.001860
[349/5000][335/535][35755] Loss_D: -0.029799 Loss_G: 0.008903 Loss_D_real: -0.008277 Loss_D_fake 0.021522
[349/5000][340/535][35756] Loss_D: -0.031022 Loss_G: 0.032064 Loss_D_real: -0.026186 Loss_D_fake 0.004836
[349/5000][345/535][35757] Loss_D: -0.030096 Loss_G: -0.000025 Loss_D_real: -0.011138 Loss_D_fake 0.018958
[349/5000][350/535][35758] Loss_D: -0.030708 Loss_G: 0.020539 Loss_D_real: -0.020366 Loss_D_fake 0.010342
[349/5000][355/535][35759] Loss_D: -0.032256 Loss_G: 0.013161 Loss_D_real: -0.020294 Loss_D_fake 0.011963
[349/5000][360/535][35760] Loss_D: -0.030479 Loss_G: 0.032157 Loss_D_real: -0.031616 Loss_D_fake -0.001137
[349/5000][365/535][35761] Loss_D: -0.028981 Loss_G: 0.019843 Loss_D_real: -0.020953 Loss_D_fake 0.008028
[349/5000][370/535][35762] Loss_D: -0.030870 Loss_G: -0.007868 Loss_D_real: -0.019299 Loss_D_fake 0.011571
[349/5000][375/535][35763] Loss_D: -0.030901 Loss_G: 0.026171 Loss_D_real: -0.026275 Loss_D_fake 0.004626
[349/5000][380/535][35764] Loss_D: -0.029066 Loss_G: -0.017641 Loss_D_real: 0.002334 Loss_D_fake 0.031400
[349/5000][385/535][35765] Loss_D: -0.029587 Loss_G: 0.011706 Loss_D_real: -0.022908 Loss_D_fake 0.006679
[349/5000][390/535][35766] Loss_D: -0.030897 Loss_G: 0.009970 Loss_D_real: -0.027272 Loss_D_fake 0.003626
[349/5000][395/535][35767] Loss_D: -0.030528 Loss_G: 0.010328 Loss_D_real: -0.016814 Loss_D_fake 0.013714
[349/5000][400/535][35768] Loss_D: -0.029949 Loss_G: -0.003248 Loss_D_real: -0.009667 Loss_D_fake 0.020282
[349/5000][405/535][35769] Loss_D: -0.029961 Loss_G: 0.029575 Loss_D_real: -0.036547 Loss_D_fake -0.006586
[349/5000][410/535][35770] Loss_D: -0.031279 Loss_G: -0.007232 Loss_D_real: 0.002566 Loss_D_fake 0.033845
[349/5000][415/535][35771] Loss_D: -0.029547 Loss_G: 0.014309 Loss_D_real: -0.014447 Loss_D_fake 0.015101
[349/5000][420/535][35772] Loss_D: -0.030563 Loss_G: 0.026150 Loss_D_real: -0.028799 Loss_D_fake 0.001764
[349/5000][425/535][35773] Loss_D: -0.029828 Loss_G: 0.016999 Loss_D_real: -0.008812 Loss_D_fake 0.021016
[349/5000][430/535][35774] Loss_D: -0.030289 Loss_G: 0.004838 Loss_D_real: -0.020533 Loss_D_fake 0.009755
[349/5000][435/535][35775] Loss_D: -0.029604 Loss_G: 0.031382 Loss_D_real: -0.024543 Loss_D_fake 0.005061
[349/5000][440/535][35776] Loss_D: -0.029769 Loss_G: 0.010174 Loss_D_real: -0.012449 Loss_D_fake 0.017321
[349/5000][445/535][35777] Loss_D: -0.030273 Loss_G: 0.030218 Loss_D_real: -0.026156 Loss_D_fake 0.004118
[349/5000][450/535][35778] Loss_D: -0.028794 Loss_G: -0.009002 Loss_D_real: 0.001734 Loss_D_fake 0.030528
[349/5000][455/535][35779] Loss_D: -0.029304 Loss_G: 0.019213 Loss_D_real: -0.023663 Loss_D_fake 0.005641
[349/5000][460/535][35780] Loss_D: -0.029300 Loss_G: 0.014265 Loss_D_real: -0.029567 Loss_D_fake -0.000267
[349/5000][465/535][35781] Loss_D: -0.031812 Loss_G: 0.010315 Loss_D_real: -0.011353 Loss_D_fake 0.020459
[349/5000][470/535][35782] Loss_D: -0.029596 Loss_G: 0.023295 Loss_D_real: -0.027563 Loss_D_fake 0.002032
[349/5000][475/535][35783] Loss_D: -0.029905 Loss_G: 0.002671 Loss_D_real: -0.015469 Loss_D_fake 0.014436
[349/5000][480/535][35784] Loss_D: -0.026951 Loss_G: 0.038150 Loss_D_real: -0.040028 Loss_D_fake -0.013077
[349/5000][485/535][35785] Loss_D: -0.030738 Loss_G: 0.020862 Loss_D_real: -0.013836 Loss_D_fake 0.016902
[349/5000][490/535][35786] Loss_D: -0.030930 Loss_G: 0.002913 Loss_D_real: -0.012396 Loss_D_fake 0.018534
[349/5000][495/535][35787] Loss_D: -0.030969 Loss_G: 0.029128 Loss_D_real: -0.025564 Loss_D_fake 0.005405
[349/5000][500/535][35788] Loss_D: -0.031488 Loss_G: 0.015960 Loss_D_real: -0.018789 Loss_D_fake 0.012699
[349/5000][505/535][35789] Loss_D: -0.032491 Loss_G: 0.015001 Loss_D_real: -0.020022 Loss_D_fake 0.012469
[349/5000][510/535][35790] Loss_D: -0.032052 Loss_G: 0.004383 Loss_D_real: -0.013058 Loss_D_fake 0.018994
[349/5000][515/535][35791] Loss_D: -0.032014 Loss_G: 0.026189 Loss_D_real: -0.025263 Loss_D_fake 0.006751
[349/5000][520/535][35792] Loss_D: -0.030390 Loss_G: 0.003005 Loss_D_real: -0.010732 Loss_D_fake 0.019658
[349/5000][525/535][35793] Loss_D: -0.031305 Loss_G: 0.020749 Loss_D_real: -0.020603 Loss_D_fake 0.010702
[349/5000][530/535][35794] Loss_D: -0.032183 Loss_G: 0.013016 Loss_D_real: -0.015172 Loss_D_fake 0.017011
[349/5000][535/535][35795] Loss_D: -0.029467 Loss_G: 0.033432 Loss_D_real: -0.030201 Loss_D_fake -0.000734
[350/5000][5/535][35796] Loss_D: -0.030592 Loss_G: -0.007065 Loss_D_real: 0.000058 Loss_D_fake 0.030650
[350/5000][10/535][35797] Loss_D: -0.029156 Loss_G: 0.025018 Loss_D_real: -0.035708 Loss_D_fake -0.006553
[350/5000][15/535][35798] Loss_D: -0.030923 Loss_G: 0.021315 Loss_D_real: -0.026449 Loss_D_fake 0.004475
[350/5000][20/535][35799] Loss_D: -0.031216 Loss_G: 0.005393 Loss_D_real: -0.014292 Loss_D_fake 0.016925
[350/5000][25/535][35800] Loss_D: -0.032003 Loss_G: -0.005978 Loss_D_real: -0.002811 Loss_D_fake 0.029192
[350/5000][30/535][35801] Loss_D: -0.032540 Loss_G: 0.030784 Loss_D_real: -0.020876 Loss_D_fake 0.011664
[350/5000][35/535][35802] Loss_D: -0.032975 Loss_G: 0.022908 Loss_D_real: -0.023706 Loss_D_fake 0.009269
[350/5000][40/535][35803] Loss_D: -0.030913 Loss_G: 0.030788 Loss_D_real: -0.035309 Loss_D_fake -0.004396
[350/5000][45/535][35804] Loss_D: -0.031311 Loss_G: 0.033909 Loss_D_real: -0.030287 Loss_D_fake 0.001024
[350/5000][50/535][35805] Loss_D: -0.032425 Loss_G: 0.016085 Loss_D_real: -0.014746 Loss_D_fake 0.017679
[350/5000][55/535][35806] Loss_D: -0.031213 Loss_G: 0.022033 Loss_D_real: -0.024681 Loss_D_fake 0.006532
[350/5000][60/535][35807] Loss_D: -0.032677 Loss_G: 0.003371 Loss_D_real: -0.011247 Loss_D_fake 0.021430
[350/5000][65/535][35808] Loss_D: -0.031975 Loss_G: 0.017259 Loss_D_real: -0.026149 Loss_D_fake 0.005826
[350/5000][70/535][35809] Loss_D: -0.030311 Loss_G: -0.011054 Loss_D_real: -0.011503 Loss_D_fake 0.018808
[350/5000][75/535][35810] Loss_D: -0.030006 Loss_G: 0.029261 Loss_D_real: -0.025589 Loss_D_fake 0.004418
[350/5000][80/535][35811] Loss_D: -0.030591 Loss_G: 0.018909 Loss_D_real: -0.016972 Loss_D_fake 0.013619
[350/5000][85/535][35812] Loss_D: -0.030583 Loss_G: 0.028047 Loss_D_real: -0.027315 Loss_D_fake 0.003269
[350/5000][90/535][35813] Loss_D: -0.030113 Loss_G: 0.022334 Loss_D_real: -0.014895 Loss_D_fake 0.015218
[350/5000][95/535][35814] Loss_D: -0.030693 Loss_G: 0.021102 Loss_D_real: -0.025128 Loss_D_fake 0.005564
[350/5000][100/535][35815] Loss_D: -0.031317 Loss_G: 0.015371 Loss_D_real: -0.021052 Loss_D_fake 0.010265
[350/5000][105/535][35816] Loss_D: -0.031726 Loss_G: 0.029390 Loss_D_real: -0.028192 Loss_D_fake 0.003533
[350/5000][110/535][35817] Loss_D: -0.031072 Loss_G: 0.033525 Loss_D_real: -0.037920 Loss_D_fake -0.006849
[350/5000][115/535][35818] Loss_D: -0.029273 Loss_G: -0.007277 Loss_D_real: 0.007029 Loss_D_fake 0.036301
[350/5000][120/535][35819] Loss_D: -0.028301 Loss_G: 0.036322 Loss_D_real: -0.036040 Loss_D_fake -0.007739
[350/5000][125/535][35820] Loss_D: -0.031123 Loss_G: 0.018790 Loss_D_real: -0.021917 Loss_D_fake 0.009206
[350/5000][130/535][35821] Loss_D: -0.029969 Loss_G: 0.031234 Loss_D_real: -0.032314 Loss_D_fake -0.002345
[350/5000][135/535][35822] Loss_D: -0.031066 Loss_G: 0.001358 Loss_D_real: -0.007556 Loss_D_fake 0.023510
[350/5000][140/535][35823] Loss_D: -0.028167 Loss_G: 0.035740 Loss_D_real: -0.033241 Loss_D_fake -0.005075
[350/5000][145/535][35824] Loss_D: -0.029343 Loss_G: -0.000278 Loss_D_real: -0.005558 Loss_D_fake 0.023785
[350/5000][150/535][35825] Loss_D: -0.031160 Loss_G: 0.030463 Loss_D_real: -0.031578 Loss_D_fake -0.000418
[350/5000][155/535][35826] Loss_D: -0.030155 Loss_G: 0.008367 Loss_D_real: -0.006429 Loss_D_fake 0.023727
[350/5000][160/535][35827] Loss_D: -0.030220 Loss_G: -0.001216 Loss_D_real: -0.008749 Loss_D_fake 0.021471
[350/5000][165/535][35828] Loss_D: -0.030866 Loss_G: 0.010630 Loss_D_real: -0.021310 Loss_D_fake 0.009555
[350/5000][170/535][35829] Loss_D: -0.030743 Loss_G: 0.011892 Loss_D_real: -0.019989 Loss_D_fake 0.010754
[350/5000][175/535][35830] Loss_D: -0.028790 Loss_G: 0.029695 Loss_D_real: -0.032504 Loss_D_fake -0.003714
[350/5000][180/535][35831] Loss_D: -0.030766 Loss_G: 0.023213 Loss_D_real: -0.029250 Loss_D_fake 0.001515
[350/5000][185/535][35832] Loss_D: -0.030992 Loss_G: -0.007507 Loss_D_real: -0.006423 Loss_D_fake 0.024569
[350/5000][190/535][35833] Loss_D: -0.029967 Loss_G: 0.014755 Loss_D_real: -0.018686 Loss_D_fake 0.011281
[350/5000][195/535][35834] Loss_D: -0.030630 Loss_G: 0.012532 Loss_D_real: -0.014439 Loss_D_fake 0.016192
[350/5000][200/535][35835] Loss_D: -0.028872 Loss_G: 0.030876 Loss_D_real: -0.039919 Loss_D_fake -0.011047
[350/5000][205/535][35836] Loss_D: -0.031097 Loss_G: 0.011210 Loss_D_real: -0.012846 Loss_D_fake 0.018251
[350/5000][210/535][35837] Loss_D: -0.029508 Loss_G: 0.034615 Loss_D_real: -0.039958 Loss_D_fake -0.010450
[350/5000][215/535][35838] Loss_D: -0.031530 Loss_G: 0.021482 Loss_D_real: -0.022865 Loss_D_fake 0.008665
[350/5000][220/535][35839] Loss_D: -0.030645 Loss_G: 0.027061 Loss_D_real: -0.033562 Loss_D_fake -0.002917
[350/5000][225/535][35840] Loss_D: -0.031901 Loss_G: 0.006713 Loss_D_real: -0.013161 Loss_D_fake 0.018740
[350/5000][230/535][35841] Loss_D: -0.031521 Loss_G: -0.002594 Loss_D_real: -0.010309 Loss_D_fake 0.021212
[350/5000][235/535][35842] Loss_D: -0.030025 Loss_G: 0.009776 Loss_D_real: -0.014834 Loss_D_fake 0.015191
[350/5000][240/535][35843] Loss_D: -0.029729 Loss_G: 0.030305 Loss_D_real: -0.029109 Loss_D_fake 0.000620
[350/5000][245/535][35844] Loss_D: -0.029370 Loss_G: 0.029909 Loss_D_real: -0.034870 Loss_D_fake -0.005499
[350/5000][250/535][35845] Loss_D: -0.029570 Loss_G: -0.006276 Loss_D_real: -0.002605 Loss_D_fake 0.026965
[350/5000][255/535][35846] Loss_D: -0.028522 Loss_G: 0.028363 Loss_D_real: -0.025082 Loss_D_fake 0.003440
[350/5000][260/535][35847] Loss_D: -0.031005 Loss_G: 0.014454 Loss_D_real: -0.017752 Loss_D_fake 0.013253
[350/5000][265/535][35848] Loss_D: -0.030135 Loss_G: 0.001709 Loss_D_real: 0.004045 Loss_D_fake 0.034180
[350/5000][270/535][35849] Loss_D: -0.029028 Loss_G: 0.003325 Loss_D_real: -0.021219 Loss_D_fake 0.007809
[350/5000][275/535][35850] Loss_D: -0.031495 Loss_G: 0.025020 Loss_D_real: -0.026941 Loss_D_fake 0.004554
[350/5000][280/535][35851] Loss_D: -0.029667 Loss_G: 0.033909 Loss_D_real: -0.032914 Loss_D_fake -0.003247
[350/5000][285/535][35852] Loss_D: -0.031291 Loss_G: 0.029324 Loss_D_real: -0.022373 Loss_D_fake 0.008918
[350/5000][290/535][35853] Loss_D: -0.031200 Loss_G: 0.026695 Loss_D_real: -0.027999 Loss_D_fake 0.003201
[350/5000][295/535][35854] Loss_D: -0.030601 Loss_G: 0.008664 Loss_D_real: -0.012806 Loss_D_fake 0.017795
[350/5000][300/535][35855] Loss_D: -0.031424 Loss_G: 0.027566 Loss_D_real: -0.028810 Loss_D_fake 0.002615
[350/5000][305/535][35856] Loss_D: -0.031295 Loss_G: 0.004380 Loss_D_real: -0.013472 Loss_D_fake 0.017823
[350/5000][310/535][35857] Loss_D: -0.029385 Loss_G: 0.032789 Loss_D_real: -0.036580 Loss_D_fake -0.007195
[350/5000][315/535][35858] Loss_D: -0.031297 Loss_G: 0.020143 Loss_D_real: -0.019014 Loss_D_fake 0.012283
[350/5000][320/535][35859] Loss_D: -0.031444 Loss_G: 0.019280 Loss_D_real: -0.028544 Loss_D_fake 0.002900
[350/5000][325/535][35860] Loss_D: -0.030328 Loss_G: 0.001973 Loss_D_real: -0.002746 Loss_D_fake 0.027583
[350/5000][330/535][35861] Loss_D: -0.028848 Loss_G: 0.020696 Loss_D_real: -0.027106 Loss_D_fake 0.001742
[350/5000][335/535][35862] Loss_D: -0.028406 Loss_G: 0.034793 Loss_D_real: -0.029288 Loss_D_fake -0.000882
[350/5000][340/535][35863] Loss_D: -0.030263 Loss_G: 0.009070 Loss_D_real: -0.005747 Loss_D_fake 0.024516
[350/5000][345/535][35864] Loss_D: -0.030445 Loss_G: 0.022428 Loss_D_real: -0.018206 Loss_D_fake 0.012238
[350/5000][350/535][35865] Loss_D: -0.029639 Loss_G: 0.010986 Loss_D_real: -0.017837 Loss_D_fake 0.011802
[350/5000][355/535][35866] Loss_D: -0.027177 Loss_G: 0.013509 Loss_D_real: -0.006583 Loss_D_fake 0.020594
[350/5000][360/535][35867] Loss_D: -0.028168 Loss_G: 0.036638 Loss_D_real: -0.039486 Loss_D_fake -0.011318
[350/5000][365/535][35868] Loss_D: -0.030959 Loss_G: -0.008736 Loss_D_real: -0.001278 Loss_D_fake 0.029681
[350/5000][370/535][35869] Loss_D: -0.030321 Loss_G: 0.001719 Loss_D_real: -0.005266 Loss_D_fake 0.025055
[350/5000][375/535][35870] Loss_D: -0.031954 Loss_G: 0.035513 Loss_D_real: -0.033194 Loss_D_fake -0.001240
[350/5000][380/535][35871] Loss_D: -0.031672 Loss_G: 0.002056 Loss_D_real: -0.005853 Loss_D_fake 0.025820
[350/5000][385/535][35872] Loss_D: -0.030626 Loss_G: 0.005194 Loss_D_real: -0.017941 Loss_D_fake 0.012685
[350/5000][390/535][35873] Loss_D: -0.030532 Loss_G: 0.039399 Loss_D_real: -0.042061 Loss_D_fake -0.011529
[350/5000][395/535][35874] Loss_D: -0.029775 Loss_G: 0.014501 Loss_D_real: -0.024154 Loss_D_fake 0.005620
[350/5000][400/535][35875] Loss_D: -0.031309 Loss_G: 0.029350 Loss_D_real: -0.044509 Loss_D_fake -0.013200
[350/5000][405/535][35876] Loss_D: -0.030157 Loss_G: -0.007229 Loss_D_real: 0.002974 Loss_D_fake 0.033131
[350/5000][410/535][35877] Loss_D: -0.029801 Loss_G: 0.021568 Loss_D_real: -0.026383 Loss_D_fake 0.003418
[350/5000][415/535][35878] Loss_D: -0.031651 Loss_G: 0.028494 Loss_D_real: -0.025795 Loss_D_fake 0.005856
[350/5000][420/535][35879] Loss_D: -0.030386 Loss_G: 0.015219 Loss_D_real: -0.022348 Loss_D_fake 0.008037
[350/5000][425/535][35880] Loss_D: -0.029051 Loss_G: 0.029886 Loss_D_real: -0.034424 Loss_D_fake -0.005373
[350/5000][430/535][35881] Loss_D: -0.032108 Loss_G: 0.004892 Loss_D_real: -0.005704 Loss_D_fake 0.026404
[350/5000][435/535][35882] Loss_D: -0.030301 Loss_G: 0.016690 Loss_D_real: -0.016034 Loss_D_fake 0.014267
[350/5000][440/535][35883] Loss_D: -0.029716 Loss_G: 0.007713 Loss_D_real: -0.016290 Loss_D_fake 0.013425
[350/5000][445/535][35884] Loss_D: -0.031969 Loss_G: 0.007657 Loss_D_real: -0.015875 Loss_D_fake 0.016094
[350/5000][450/535][35885] Loss_D: -0.030813 Loss_G: 0.005167 Loss_D_real: -0.008165 Loss_D_fake 0.022648
[350/5000][455/535][35886] Loss_D: -0.030691 Loss_G: 0.009291 Loss_D_real: -0.032148 Loss_D_fake -0.001458
[350/5000][460/535][35887] Loss_D: -0.029514 Loss_G: 0.007052 Loss_D_real: -0.019380 Loss_D_fake 0.010134
[350/5000][465/535][35888] Loss_D: -0.031100 Loss_G: 0.029059 Loss_D_real: -0.027181 Loss_D_fake 0.003918
[350/5000][470/535][35889] Loss_D: -0.030002 Loss_G: 0.014396 Loss_D_real: -0.018145 Loss_D_fake 0.011857
[350/5000][475/535][35890] Loss_D: -0.030971 Loss_G: -0.002607 Loss_D_real: -0.006642 Loss_D_fake 0.024329
[350/5000][480/535][35891] Loss_D: -0.030438 Loss_G: 0.019286 Loss_D_real: -0.016958 Loss_D_fake 0.013480
[350/5000][485/535][35892] Loss_D: -0.030463 Loss_G: 0.020275 Loss_D_real: -0.029254 Loss_D_fake 0.001209
[350/5000][490/535][35893] Loss_D: -0.029548 Loss_G: 0.041040 Loss_D_real: -0.035088 Loss_D_fake -0.005540
[350/5000][495/535][35894] Loss_D: -0.030546 Loss_G: 0.014995 Loss_D_real: -0.025608 Loss_D_fake 0.004938
[350/5000][500/535][35895] Loss_D: -0.030716 Loss_G: 0.010951 Loss_D_real: -0.018529 Loss_D_fake 0.012187
[350/5000][505/535][35896] Loss_D: -0.032081 Loss_G: 0.020445 Loss_D_real: -0.022907 Loss_D_fake 0.009174
[350/5000][510/535][35897] Loss_D: -0.030488 Loss_G: 0.025221 Loss_D_real: -0.034128 Loss_D_fake -0.003640
[350/5000][515/535][35898] Loss_D: -0.031298 Loss_G: 0.032083 Loss_D_real: -0.029526 Loss_D_fake 0.001773
[350/5000][520/535][35899] Loss_D: -0.031399 Loss_G: 0.024457 Loss_D_real: -0.027155 Loss_D_fake 0.004244
[350/5000][525/535][35900] Loss_D: -0.030019 Loss_G: -0.001476 Loss_D_real: 0.000911 Loss_D_fake 0.030930
[350/5000][530/535][35901] Loss_D: -0.028703 Loss_G: 0.032021 Loss_D_real: -0.033889 Loss_D_fake -0.005187
[350/5000][535/535][35902] Loss_D: -0.032580 Loss_G: 0.021830 Loss_D_real: -0.017308 Loss_D_fake 0.015273
[351/5000][5/535][35903] Loss_D: -0.030154 Loss_G: 0.025376 Loss_D_real: -0.023667 Loss_D_fake 0.006487
[351/5000][10/535][35904] Loss_D: -0.029957 Loss_G: 0.016383 Loss_D_real: -0.024091 Loss_D_fake 0.005866
[351/5000][15/535][35905] Loss_D: -0.029347 Loss_G: 0.026839 Loss_D_real: -0.020774 Loss_D_fake 0.008574
[351/5000][20/535][35906] Loss_D: -0.029709 Loss_G: 0.012387 Loss_D_real: -0.016855 Loss_D_fake 0.012854
[351/5000][25/535][35907] Loss_D: -0.029668 Loss_G: 0.040849 Loss_D_real: -0.044908 Loss_D_fake -0.015240
[351/5000][30/535][35908] Loss_D: -0.029585 Loss_G: -0.008561 Loss_D_real: -0.007242 Loss_D_fake 0.022342
[351/5000][35/535][35909] Loss_D: -0.030323 Loss_G: 0.023177 Loss_D_real: -0.025491 Loss_D_fake 0.004832
[351/5000][40/535][35910] Loss_D: -0.029327 Loss_G: 0.014502 Loss_D_real: -0.019408 Loss_D_fake 0.009919
[351/5000][45/535][35911] Loss_D: -0.030099 Loss_G: 0.017304 Loss_D_real: -0.014748 Loss_D_fake 0.015351
[351/5000][50/535][35912] Loss_D: -0.029657 Loss_G: 0.002517 Loss_D_real: -0.004435 Loss_D_fake 0.025222
[351/5000][55/535][35913] Loss_D: -0.029422 Loss_G: 0.029557 Loss_D_real: -0.031481 Loss_D_fake -0.002060
[351/5000][60/535][35914] Loss_D: -0.031376 Loss_G: -0.001631 Loss_D_real: -0.010685 Loss_D_fake 0.020690
[351/5000][65/535][35915] Loss_D: -0.030731 Loss_G: 0.014088 Loss_D_real: -0.020786 Loss_D_fake 0.009945
[351/5000][70/535][35916] Loss_D: -0.030833 Loss_G: 0.027561 Loss_D_real: -0.020970 Loss_D_fake 0.009863
[351/5000][75/535][35917] Loss_D: -0.028430 Loss_G: 0.032286 Loss_D_real: -0.036823 Loss_D_fake -0.008392
[351/5000][80/535][35918] Loss_D: -0.031046 Loss_G: 0.024078 Loss_D_real: -0.026816 Loss_D_fake 0.004230
[351/5000][85/535][35919] Loss_D: -0.028744 Loss_G: 0.014297 Loss_D_real: -0.015295 Loss_D_fake 0.013449
[351/5000][90/535][35920] Loss_D: -0.031556 Loss_G: -0.001580 Loss_D_real: -0.016296 Loss_D_fake 0.015260
[351/5000][95/535][35921] Loss_D: -0.030975 Loss_G: 0.007007 Loss_D_real: -0.012810 Loss_D_fake 0.018165
[351/5000][100/535][35922] Loss_D: -0.030371 Loss_G: 0.001639 Loss_D_real: -0.014275 Loss_D_fake 0.016096
[351/5000][105/535][35923] Loss_D: -0.030336 Loss_G: 0.028839 Loss_D_real: -0.031957 Loss_D_fake -0.001621
[351/5000][110/535][35924] Loss_D: -0.030441 Loss_G: -0.012257 Loss_D_real: -0.002838 Loss_D_fake 0.027603
[351/5000][115/535][35925] Loss_D: -0.028670 Loss_G: 0.021831 Loss_D_real: -0.022043 Loss_D_fake 0.006627
[351/5000][120/535][35926] Loss_D: -0.030203 Loss_G: 0.016767 Loss_D_real: -0.012782 Loss_D_fake 0.017421
[351/5000][125/535][35927] Loss_D: -0.031319 Loss_G: 0.018150 Loss_D_real: -0.025236 Loss_D_fake 0.006083
[351/5000][130/535][35928] Loss_D: -0.029331 Loss_G: 0.020814 Loss_D_real: -0.025918 Loss_D_fake 0.003413
[351/5000][135/535][35929] Loss_D: -0.031780 Loss_G: 0.023142 Loss_D_real: -0.022998 Loss_D_fake 0.008782
[351/5000][140/535][35930] Loss_D: -0.030057 Loss_G: 0.002743 Loss_D_real: -0.011135 Loss_D_fake 0.018922
[351/5000][145/535][35931] Loss_D: -0.030334 Loss_G: 0.027598 Loss_D_real: -0.033805 Loss_D_fake -0.003471
[351/5000][150/535][35932] Loss_D: -0.030032 Loss_G: 0.023532 Loss_D_real: -0.032863 Loss_D_fake -0.002831
[351/5000][155/535][35933] Loss_D: -0.030120 Loss_G: 0.023971 Loss_D_real: -0.023247 Loss_D_fake 0.006873
[351/5000][160/535][35934] Loss_D: -0.029436 Loss_G: -0.005442 Loss_D_real: -0.006938 Loss_D_fake 0.022498
[351/5000][165/535][35935] Loss_D: -0.029842 Loss_G: 0.017908 Loss_D_real: -0.017409 Loss_D_fake 0.012433
[351/5000][170/535][35936] Loss_D: -0.029783 Loss_G: 0.019241 Loss_D_real: -0.021269 Loss_D_fake 0.008513
[351/5000][175/535][35937] Loss_D: -0.029510 Loss_G: 0.011470 Loss_D_real: -0.007371 Loss_D_fake 0.022139
[351/5000][180/535][35938] Loss_D: -0.028656 Loss_G: 0.030910 Loss_D_real: -0.028033 Loss_D_fake 0.000624
[351/5000][185/535][35939] Loss_D: -0.031144 Loss_G: 0.023902 Loss_D_real: -0.017605 Loss_D_fake 0.013540
[351/5000][190/535][35940] Loss_D: -0.031992 Loss_G: 0.021227 Loss_D_real: -0.022965 Loss_D_fake 0.009027
[351/5000][195/535][35941] Loss_D: -0.030275 Loss_G: 0.028300 Loss_D_real: -0.033151 Loss_D_fake -0.002876
[351/5000][200/535][35942] Loss_D: -0.029895 Loss_G: -0.010861 Loss_D_real: -0.010963 Loss_D_fake 0.018932
[351/5000][205/535][35943] Loss_D: -0.028887 Loss_G: 0.024949 Loss_D_real: -0.030263 Loss_D_fake -0.001376
[351/5000][210/535][35944] Loss_D: -0.030818 Loss_G: 0.019822 Loss_D_real: -0.033481 Loss_D_fake -0.002664
[351/5000][215/535][35945] Loss_D: -0.031662 Loss_G: -0.001839 Loss_D_real: -0.005652 Loss_D_fake 0.026010
[351/5000][220/535][35946] Loss_D: -0.030449 Loss_G: 0.031763 Loss_D_real: -0.019012 Loss_D_fake 0.011437
[351/5000][225/535][35947] Loss_D: -0.030651 Loss_G: 0.027681 Loss_D_real: -0.027776 Loss_D_fake 0.002876
[351/5000][230/535][35948] Loss_D: -0.031757 Loss_G: -0.003709 Loss_D_real: -0.017369 Loss_D_fake 0.014388
[351/5000][235/535][35949] Loss_D: -0.031259 Loss_G: 0.020338 Loss_D_real: -0.026680 Loss_D_fake 0.004579
[351/5000][240/535][35950] Loss_D: -0.030958 Loss_G: 0.030520 Loss_D_real: -0.028245 Loss_D_fake 0.002713
[351/5000][245/535][35951] Loss_D: -0.031037 Loss_G: 0.018271 Loss_D_real: -0.034926 Loss_D_fake -0.003889
[351/5000][250/535][35952] Loss_D: -0.030340 Loss_G: 0.013136 Loss_D_real: -0.031506 Loss_D_fake -0.001166
[351/5000][255/535][35953] Loss_D: -0.029543 Loss_G: 0.018196 Loss_D_real: -0.021656 Loss_D_fake 0.007887
[351/5000][260/535][35954] Loss_D: -0.029416 Loss_G: 0.024162 Loss_D_real: -0.027457 Loss_D_fake 0.001959
[351/5000][265/535][35955] Loss_D: -0.031398 Loss_G: 0.020645 Loss_D_real: -0.024187 Loss_D_fake 0.007211
[351/5000][270/535][35956] Loss_D: -0.030623 Loss_G: 0.028815 Loss_D_real: -0.028825 Loss_D_fake 0.001798
[351/5000][275/535][35957] Loss_D: -0.028992 Loss_G: -0.000274 Loss_D_real: -0.011391 Loss_D_fake 0.017601
[351/5000][280/535][35958] Loss_D: -0.029587 Loss_G: 0.022871 Loss_D_real: -0.027040 Loss_D_fake 0.002548
[351/5000][285/535][35959] Loss_D: -0.030555 Loss_G: -0.006605 Loss_D_real: -0.004392 Loss_D_fake 0.026164
[351/5000][290/535][35960] Loss_D: -0.026441 Loss_G: 0.041981 Loss_D_real: -0.033939 Loss_D_fake -0.007498
[351/5000][295/535][35961] Loss_D: -0.029385 Loss_G: 0.006772 Loss_D_real: -0.015714 Loss_D_fake 0.013671
[351/5000][300/535][35962] Loss_D: -0.029930 Loss_G: 0.036147 Loss_D_real: -0.031596 Loss_D_fake -0.001667
[351/5000][305/535][35963] Loss_D: -0.031534 Loss_G: -0.008623 Loss_D_real: -0.000848 Loss_D_fake 0.030686
[351/5000][310/535][35964] Loss_D: -0.030919 Loss_G: 0.012467 Loss_D_real: -0.023968 Loss_D_fake 0.006951
[351/5000][315/535][35965] Loss_D: -0.030705 Loss_G: 0.020068 Loss_D_real: -0.016094 Loss_D_fake 0.014611
[351/5000][320/535][35966] Loss_D: -0.031190 Loss_G: 0.009847 Loss_D_real: -0.020159 Loss_D_fake 0.011030
[351/5000][325/535][35967] Loss_D: -0.030066 Loss_G: 0.032623 Loss_D_real: -0.033243 Loss_D_fake -0.003176
[351/5000][330/535][35968] Loss_D: -0.031936 Loss_G: 0.021571 Loss_D_real: -0.027789 Loss_D_fake 0.004147
[351/5000][335/535][35969] Loss_D: -0.031348 Loss_G: 0.026181 Loss_D_real: -0.023762 Loss_D_fake 0.007585
[351/5000][340/535][35970] Loss_D: -0.031631 Loss_G: 0.006106 Loss_D_real: -0.012909 Loss_D_fake 0.018722
[351/5000][345/535][35971] Loss_D: -0.029599 Loss_G: 0.030137 Loss_D_real: -0.027871 Loss_D_fake 0.001728
[351/5000][350/535][35972] Loss_D: -0.031474 Loss_G: 0.012374 Loss_D_real: -0.023172 Loss_D_fake 0.008302
[351/5000][355/535][35973] Loss_D: -0.030348 Loss_G: 0.026714 Loss_D_real: -0.019740 Loss_D_fake 0.010608
[351/5000][360/535][35974] Loss_D: -0.029139 Loss_G: -0.000014 Loss_D_real: -0.010291 Loss_D_fake 0.018848
[351/5000][365/535][35975] Loss_D: -0.029903 Loss_G: 0.016778 Loss_D_real: -0.025110 Loss_D_fake 0.004793
[351/5000][370/535][35976] Loss_D: -0.028014 Loss_G: -0.019094 Loss_D_real: 0.003879 Loss_D_fake 0.031892
[351/5000][375/535][35977] Loss_D: -0.030296 Loss_G: 0.020154 Loss_D_real: -0.015026 Loss_D_fake 0.015270
[351/5000][380/535][35978] Loss_D: -0.030631 Loss_G: 0.022117 Loss_D_real: -0.026795 Loss_D_fake 0.003837
[351/5000][385/535][35979] Loss_D: -0.031428 Loss_G: 0.014655 Loss_D_real: -0.014670 Loss_D_fake 0.016758
[351/5000][390/535][35980] Loss_D: -0.030994 Loss_G: 0.011592 Loss_D_real: -0.016543 Loss_D_fake 0.014451
[351/5000][395/535][35981] Loss_D: -0.031420 Loss_G: 0.015361 Loss_D_real: -0.015148 Loss_D_fake 0.016272
[351/5000][400/535][35982] Loss_D: -0.029502 Loss_G: 0.026477 Loss_D_real: -0.027825 Loss_D_fake 0.001677
[351/5000][405/535][35983] Loss_D: -0.029474 Loss_G: 0.008988 Loss_D_real: -0.029621 Loss_D_fake -0.000147
[351/5000][410/535][35984] Loss_D: -0.030251 Loss_G: 0.003429 Loss_D_real: -0.019746 Loss_D_fake 0.010505
[351/5000][415/535][35985] Loss_D: -0.027562 Loss_G: 0.039192 Loss_D_real: -0.031790 Loss_D_fake -0.004228
[351/5000][420/535][35986] Loss_D: -0.029971 Loss_G: 0.006189 Loss_D_real: -0.004704 Loss_D_fake 0.025266
[351/5000][425/535][35987] Loss_D: -0.030339 Loss_G: 0.039757 Loss_D_real: -0.030949 Loss_D_fake -0.000610
[351/5000][430/535][35988] Loss_D: -0.030530 Loss_G: 0.008271 Loss_D_real: -0.009211 Loss_D_fake 0.021319
[351/5000][435/535][35989] Loss_D: -0.028362 Loss_G: 0.029948 Loss_D_real: -0.034202 Loss_D_fake -0.005840
[351/5000][440/535][35990] Loss_D: -0.030116 Loss_G: 0.037716 Loss_D_real: -0.030708 Loss_D_fake -0.000592
[351/5000][445/535][35991] Loss_D: -0.030742 Loss_G: 0.000714 Loss_D_real: 0.001435 Loss_D_fake 0.032177
[351/5000][450/535][35992] Loss_D: -0.029943 Loss_G: 0.017441 Loss_D_real: -0.021822 Loss_D_fake 0.008121
[351/5000][455/535][35993] Loss_D: -0.032220 Loss_G: 0.024867 Loss_D_real: -0.027952 Loss_D_fake 0.004267
[351/5000][460/535][35994] Loss_D: -0.031725 Loss_G: 0.022360 Loss_D_real: -0.025490 Loss_D_fake 0.006235
[351/5000][465/535][35995] Loss_D: -0.029382 Loss_G: 0.033615 Loss_D_real: -0.026783 Loss_D_fake 0.002599
[351/5000][470/535][35996] Loss_D: -0.031221 Loss_G: 0.014118 Loss_D_real: -0.022287 Loss_D_fake 0.008934
[351/5000][475/535][35997] Loss_D: -0.031633 Loss_G: 0.021617 Loss_D_real: -0.015107 Loss_D_fake 0.016526
[351/5000][480/535][35998] Loss_D: -0.030309 Loss_G: -0.001159 Loss_D_real: -0.010173 Loss_D_fake 0.020136
[351/5000][485/535][35999] Loss_D: -0.030277 Loss_G: 0.025765 Loss_D_real: -0.026565 Loss_D_fake 0.003713
[351/5000][490/535][36000] Loss_D: -0.031160 Loss_G: 0.006520 Loss_D_real: -0.006230 Loss_D_fake 0.024930
[351/5000][535/535][36001] Loss_D: -0.031409 Loss_G: 0.010120 Loss_D_real: -0.000799 Loss_D_fake 0.030610
[352/5000][5/535][36002] Loss_D: -0.033066 Loss_G: 0.028540 Loss_D_real: -0.019413 Loss_D_fake 0.013653
[352/5000][10/535][36003] Loss_D: -0.030938 Loss_G: 0.019711 Loss_D_real: -0.012848 Loss_D_fake 0.018090
[352/5000][15/535][36004] Loss_D: -0.029378 Loss_G: -0.003766 Loss_D_real: -0.002920 Loss_D_fake 0.026458
[352/5000][20/535][36005] Loss_D: -0.029811 Loss_G: 0.004130 Loss_D_real: -0.010958 Loss_D_fake 0.018853
[352/5000][25/535][36006] Loss_D: -0.029280 Loss_G: 0.033128 Loss_D_real: -0.030489 Loss_D_fake -0.001208
[352/5000][30/535][36007] Loss_D: -0.031643 Loss_G: 0.007273 Loss_D_real: -0.022237 Loss_D_fake 0.009406
[352/5000][35/535][36008] Loss_D: -0.029074 Loss_G: 0.028931 Loss_D_real: -0.036287 Loss_D_fake -0.007213
[352/5000][40/535][36009] Loss_D: -0.030284 Loss_G: 0.017017 Loss_D_real: -0.023881 Loss_D_fake 0.006403
[352/5000][45/535][36010] Loss_D: -0.030675 Loss_G: 0.009688 Loss_D_real: -0.014077 Loss_D_fake 0.016599
[352/5000][50/535][36011] Loss_D: -0.031123 Loss_G: 0.030127 Loss_D_real: -0.031040 Loss_D_fake 0.000083
[352/5000][55/535][36012] Loss_D: -0.029804 Loss_G: 0.013680 Loss_D_real: -0.015658 Loss_D_fake 0.014146
[352/5000][60/535][36013] Loss_D: -0.032047 Loss_G: 0.030113 Loss_D_real: -0.032155 Loss_D_fake -0.000108
[352/5000][65/535][36014] Loss_D: -0.030069 Loss_G: -0.002603 Loss_D_real: -0.005870 Loss_D_fake 0.024199
[352/5000][70/535][36015] Loss_D: -0.030106 Loss_G: 0.025540 Loss_D_real: -0.031120 Loss_D_fake -0.001015
[352/5000][75/535][36016] Loss_D: -0.030305 Loss_G: 0.001985 Loss_D_real: -0.010261 Loss_D_fake 0.020044
[352/5000][80/535][36017] Loss_D: -0.028782 Loss_G: 0.025387 Loss_D_real: -0.025574 Loss_D_fake 0.003209
[352/5000][85/535][36018] Loss_D: -0.029680 Loss_G: 0.027197 Loss_D_real: -0.033468 Loss_D_fake -0.003788
[352/5000][90/535][36019] Loss_D: -0.029264 Loss_G: 0.022079 Loss_D_real: -0.020516 Loss_D_fake 0.008747
[352/5000][95/535][36020] Loss_D: -0.030609 Loss_G: 0.013542 Loss_D_real: -0.011862 Loss_D_fake 0.018747
[352/5000][100/535][36021] Loss_D: -0.029577 Loss_G: -0.000205 Loss_D_real: -0.013723 Loss_D_fake 0.015854
[352/5000][105/535][36022] Loss_D: -0.028982 Loss_G: 0.025235 Loss_D_real: -0.029590 Loss_D_fake -0.000609
[352/5000][110/535][36023] Loss_D: -0.031033 Loss_G: 0.001120 Loss_D_real: -0.010884 Loss_D_fake 0.020149
[352/5000][115/535][36024] Loss_D: -0.028694 Loss_G: 0.012471 Loss_D_real: -0.018304 Loss_D_fake 0.010390
[352/5000][120/535][36025] Loss_D: -0.029712 Loss_G: 0.035975 Loss_D_real: -0.038903 Loss_D_fake -0.009191
[352/5000][125/535][36026] Loss_D: -0.030022 Loss_G: 0.001909 Loss_D_real: -0.007586 Loss_D_fake 0.022436
[352/5000][130/535][36027] Loss_D: -0.028695 Loss_G: 0.017001 Loss_D_real: -0.022378 Loss_D_fake 0.006317
[352/5000][135/535][36028] Loss_D: -0.029580 Loss_G: -0.005147 Loss_D_real: -0.001494 Loss_D_fake 0.028086
[352/5000][140/535][36029] Loss_D: -0.028487 Loss_G: 0.012471 Loss_D_real: -0.019096 Loss_D_fake 0.009390
[352/5000][145/535][36030] Loss_D: -0.028361 Loss_G: -0.006720 Loss_D_real: 0.000264 Loss_D_fake 0.028624
[352/5000][150/535][36031] Loss_D: -0.028906 Loss_G: 0.001530 Loss_D_real: -0.008901 Loss_D_fake 0.020005
[352/5000][155/535][36032] Loss_D: -0.030274 Loss_G: 0.019183 Loss_D_real: -0.017806 Loss_D_fake 0.012467
[352/5000][160/535][36033] Loss_D: -0.028903 Loss_G: 0.004274 Loss_D_real: -0.005702 Loss_D_fake 0.023201
[352/5000][165/535][36034] Loss_D: -0.031236 Loss_G: 0.037462 Loss_D_real: -0.039655 Loss_D_fake -0.008419
[352/5000][170/535][36035] Loss_D: -0.030695 Loss_G: 0.002749 Loss_D_real: -0.001240 Loss_D_fake 0.029455
[352/5000][175/535][36036] Loss_D: -0.029988 Loss_G: 0.019034 Loss_D_real: -0.021789 Loss_D_fake 0.008199
[352/5000][180/535][36037] Loss_D: -0.029774 Loss_G: 0.013580 Loss_D_real: -0.006916 Loss_D_fake 0.022859
[352/5000][185/535][36038] Loss_D: -0.030357 Loss_G: 0.015743 Loss_D_real: -0.018610 Loss_D_fake 0.011747
[352/5000][190/535][36039] Loss_D: -0.032713 Loss_G: 0.011219 Loss_D_real: -0.017761 Loss_D_fake 0.014951
[352/5000][195/535][36040] Loss_D: -0.031003 Loss_G: 0.009775 Loss_D_real: -0.015537 Loss_D_fake 0.015466
[352/5000][200/535][36041] Loss_D: -0.031713 Loss_G: 0.032182 Loss_D_real: -0.023649 Loss_D_fake 0.008063
[352/5000][205/535][36042] Loss_D: -0.030235 Loss_G: 0.031677 Loss_D_real: -0.028057 Loss_D_fake 0.002178
[352/5000][210/535][36043] Loss_D: -0.032406 Loss_G: 0.023335 Loss_D_real: -0.027244 Loss_D_fake 0.005162
[352/5000][215/535][36044] Loss_D: -0.030372 Loss_G: 0.010940 Loss_D_real: -0.005275 Loss_D_fake 0.025097
[352/5000][220/535][36045] Loss_D: -0.030046 Loss_G: 0.010845 Loss_D_real: -0.015826 Loss_D_fake 0.014220
[352/5000][225/535][36046] Loss_D: -0.031709 Loss_G: 0.014895 Loss_D_real: -0.015260 Loss_D_fake 0.016450
[352/5000][230/535][36047] Loss_D: -0.030559 Loss_G: -0.009629 Loss_D_real: -0.001144 Loss_D_fake 0.029415
[352/5000][235/535][36048] Loss_D: -0.030163 Loss_G: 0.021446 Loss_D_real: -0.015155 Loss_D_fake 0.015008
[352/5000][240/535][36049] Loss_D: -0.030685 Loss_G: 0.021417 Loss_D_real: -0.029454 Loss_D_fake 0.001231
[352/5000][245/535][36050] Loss_D: -0.030874 Loss_G: 0.008039 Loss_D_real: -0.019277 Loss_D_fake 0.011597
[352/5000][250/535][36051] Loss_D: -0.029165 Loss_G: -0.012095 Loss_D_real: -0.009614 Loss_D_fake 0.019551
[352/5000][255/535][36052] Loss_D: -0.026577 Loss_G: 0.044353 Loss_D_real: -0.042628 Loss_D_fake -0.016051
[352/5000][260/535][36053] Loss_D: -0.029208 Loss_G: 0.016039 Loss_D_real: -0.018001 Loss_D_fake 0.011207
[352/5000][265/535][36054] Loss_D: -0.030154 Loss_G: 0.027647 Loss_D_real: -0.027134 Loss_D_fake 0.003021
[352/5000][270/535][36055] Loss_D: -0.028129 Loss_G: 0.033380 Loss_D_real: -0.036116 Loss_D_fake -0.007987
[352/5000][275/535][36056] Loss_D: -0.030594 Loss_G: 0.002516 Loss_D_real: -0.007856 Loss_D_fake 0.022738
[352/5000][280/535][36057] Loss_D: -0.030059 Loss_G: 0.019582 Loss_D_real: -0.022128 Loss_D_fake 0.007932
[352/5000][285/535][36058] Loss_D: -0.029502 Loss_G: 0.016796 Loss_D_real: -0.021422 Loss_D_fake 0.008081
[352/5000][290/535][36059] Loss_D: -0.030657 Loss_G: 0.033075 Loss_D_real: -0.034053 Loss_D_fake -0.003396
[352/5000][295/535][36060] Loss_D: -0.030045 Loss_G: 0.031217 Loss_D_real: -0.031227 Loss_D_fake -0.001182
[352/5000][300/535][36061] Loss_D: -0.030724 Loss_G: 0.012292 Loss_D_real: -0.016894 Loss_D_fake 0.013830
[352/5000][305/535][36062] Loss_D: -0.030277 Loss_G: 0.038391 Loss_D_real: -0.034460 Loss_D_fake -0.004182
[352/5000][310/535][36063] Loss_D: -0.030372 Loss_G: -0.007568 Loss_D_real: -0.011639 Loss_D_fake 0.018733
[352/5000][315/535][36064] Loss_D: -0.030183 Loss_G: 0.010959 Loss_D_real: -0.020606 Loss_D_fake 0.009577
[352/5000][320/535][36065] Loss_D: -0.029752 Loss_G: 0.016606 Loss_D_real: -0.019961 Loss_D_fake 0.009791
[352/5000][325/535][36066] Loss_D: -0.027253 Loss_G: 0.034860 Loss_D_real: -0.039180 Loss_D_fake -0.011926
[352/5000][330/535][36067] Loss_D: -0.031854 Loss_G: 0.011049 Loss_D_real: -0.018839 Loss_D_fake 0.013015
[352/5000][335/535][36068] Loss_D: -0.030808 Loss_G: 0.017359 Loss_D_real: -0.024340 Loss_D_fake 0.006468
[352/5000][340/535][36069] Loss_D: -0.031017 Loss_G: 0.033733 Loss_D_real: -0.037995 Loss_D_fake -0.006978
[352/5000][345/535][36070] Loss_D: -0.030817 Loss_G: 0.006426 Loss_D_real: -0.009170 Loss_D_fake 0.021646
[352/5000][350/535][36071] Loss_D: -0.030840 Loss_G: 0.011166 Loss_D_real: -0.011253 Loss_D_fake 0.019587
[352/5000][355/535][36072] Loss_D: -0.029993 Loss_G: 0.022771 Loss_D_real: -0.022431 Loss_D_fake 0.007562
[352/5000][360/535][36073] Loss_D: -0.030239 Loss_G: -0.015532 Loss_D_real: -0.003013 Loss_D_fake 0.027226
[352/5000][365/535][36074] Loss_D: -0.028291 Loss_G: 0.022981 Loss_D_real: -0.028944 Loss_D_fake -0.000653
[352/5000][370/535][36075] Loss_D: -0.030884 Loss_G: 0.004979 Loss_D_real: -0.013611 Loss_D_fake 0.017273
[352/5000][375/535][36076] Loss_D: -0.029562 Loss_G: 0.013915 Loss_D_real: -0.018391 Loss_D_fake 0.011171
[352/5000][380/535][36077] Loss_D: -0.031538 Loss_G: 0.019754 Loss_D_real: -0.016993 Loss_D_fake 0.014545
[352/5000][385/535][36078] Loss_D: -0.029652 Loss_G: 0.012238 Loss_D_real: -0.017568 Loss_D_fake 0.012084
[352/5000][390/535][36079] Loss_D: -0.031344 Loss_G: 0.027864 Loss_D_real: -0.035154 Loss_D_fake -0.003810
[352/5000][395/535][36080] Loss_D: -0.031812 Loss_G: 0.005635 Loss_D_real: -0.014725 Loss_D_fake 0.017088
[352/5000][400/535][36081] Loss_D: -0.030641 Loss_G: 0.007572 Loss_D_real: -0.013644 Loss_D_fake 0.016997
[352/5000][405/535][36082] Loss_D: -0.031357 Loss_G: 0.031192 Loss_D_real: -0.034079 Loss_D_fake -0.002723
[352/5000][410/535][36083] Loss_D: -0.030251 Loss_G: 0.028397 Loss_D_real: -0.030604 Loss_D_fake -0.000352
[352/5000][415/535][36084] Loss_D: -0.029816 Loss_G: -0.009206 Loss_D_real: -0.009524 Loss_D_fake 0.020291
[352/5000][420/535][36085] Loss_D: -0.028595 Loss_G: 0.020363 Loss_D_real: -0.022619 Loss_D_fake 0.005975
[352/5000][425/535][36086] Loss_D: -0.030370 Loss_G: 0.020722 Loss_D_real: -0.008253 Loss_D_fake 0.022117
[352/5000][430/535][36087] Loss_D: -0.030228 Loss_G: 0.016829 Loss_D_real: -0.017725 Loss_D_fake 0.012503
[352/5000][435/535][36088] Loss_D: -0.028880 Loss_G: -0.010902 Loss_D_real: 0.000343 Loss_D_fake 0.029223
[352/5000][440/535][36089] Loss_D: -0.031059 Loss_G: 0.029417 Loss_D_real: -0.023475 Loss_D_fake 0.007584
[352/5000][445/535][36090] Loss_D: -0.031219 Loss_G: 0.039147 Loss_D_real: -0.034705 Loss_D_fake -0.003486
[352/5000][450/535][36091] Loss_D: -0.030048 Loss_G: 0.034020 Loss_D_real: -0.027990 Loss_D_fake 0.002058
[352/5000][455/535][36092] Loss_D: -0.029964 Loss_G: 0.009287 Loss_D_real: -0.008880 Loss_D_fake 0.021083
[352/5000][460/535][36093] Loss_D: -0.030847 Loss_G: 0.004429 Loss_D_real: -0.016064 Loss_D_fake 0.014783
[352/5000][465/535][36094] Loss_D: -0.033509 Loss_G: 0.016294 Loss_D_real: -0.017542 Loss_D_fake 0.015967
[352/5000][470/535][36095] Loss_D: -0.031429 Loss_G: 0.001845 Loss_D_real: -0.023954 Loss_D_fake 0.007475
[352/5000][475/535][36096] Loss_D: -0.031646 Loss_G: 0.033822 Loss_D_real: -0.027696 Loss_D_fake 0.003950
[352/5000][480/535][36097] Loss_D: -0.031320 Loss_G: 0.020258 Loss_D_real: -0.030091 Loss_D_fake 0.001229
[352/5000][485/535][36098] Loss_D: -0.030593 Loss_G: 0.015750 Loss_D_real: -0.020048 Loss_D_fake 0.010545
[352/5000][490/535][36099] Loss_D: -0.030004 Loss_G: 0.019259 Loss_D_real: -0.022148 Loss_D_fake 0.007855
[352/5000][495/535][36100] Loss_D: -0.030276 Loss_G: 0.013874 Loss_D_real: -0.019089 Loss_D_fake 0.011188
[352/5000][500/535][36101] Loss_D: -0.031536 Loss_G: 0.035014 Loss_D_real: -0.027346 Loss_D_fake 0.004190
[352/5000][505/535][36102] Loss_D: -0.031145 Loss_G: -0.004820 Loss_D_real: -0.003868 Loss_D_fake 0.027276
[352/5000][510/535][36103] Loss_D: -0.029093 Loss_G: 0.024465 Loss_D_real: -0.026444 Loss_D_fake 0.002648
[352/5000][515/535][36104] Loss_D: -0.029182 Loss_G: -0.009475 Loss_D_real: -0.005757 Loss_D_fake 0.023426
[352/5000][520/535][36105] Loss_D: -0.028215 Loss_G: 0.016292 Loss_D_real: -0.040869 Loss_D_fake -0.012655
[352/5000][525/535][36106] Loss_D: -0.029511 Loss_G: -0.011363 Loss_D_real: 0.005799 Loss_D_fake 0.035309
[352/5000][530/535][36107] Loss_D: -0.028497 Loss_G: 0.027003 Loss_D_real: -0.037184 Loss_D_fake -0.008687
[352/5000][535/535][36108] Loss_D: -0.031346 Loss_G: 0.044625 Loss_D_real: -0.020742 Loss_D_fake 0.010604
[353/5000][5/535][36109] Loss_D: -0.029908 Loss_G: 0.004639 Loss_D_real: -0.019997 Loss_D_fake 0.009911
[353/5000][10/535][36110] Loss_D: -0.030942 Loss_G: 0.010600 Loss_D_real: -0.019044 Loss_D_fake 0.011898
[353/5000][15/535][36111] Loss_D: -0.031545 Loss_G: 0.019445 Loss_D_real: -0.018780 Loss_D_fake 0.012765
[353/5000][20/535][36112] Loss_D: -0.032046 Loss_G: 0.016945 Loss_D_real: -0.024937 Loss_D_fake 0.007109
[353/5000][25/535][36113] Loss_D: -0.030901 Loss_G: -0.012077 Loss_D_real: -0.002642 Loss_D_fake 0.028259
[353/5000][30/535][36114] Loss_D: -0.030024 Loss_G: 0.013752 Loss_D_real: -0.011402 Loss_D_fake 0.018622
[353/5000][35/535][36115] Loss_D: -0.030928 Loss_G: -0.006448 Loss_D_real: -0.002519 Loss_D_fake 0.028408
[353/5000][40/535][36116] Loss_D: -0.031382 Loss_G: 0.027667 Loss_D_real: -0.027291 Loss_D_fake 0.004091
[353/5000][45/535][36117] Loss_D: -0.031071 Loss_G: 0.022727 Loss_D_real: -0.021017 Loss_D_fake 0.010053
[353/5000][50/535][36118] Loss_D: -0.032210 Loss_G: 0.015076 Loss_D_real: -0.014771 Loss_D_fake 0.017439
[353/5000][55/535][36119] Loss_D: -0.030962 Loss_G: 0.024554 Loss_D_real: -0.026972 Loss_D_fake 0.003990
[353/5000][60/535][36120] Loss_D: -0.030044 Loss_G: 0.017143 Loss_D_real: -0.023321 Loss_D_fake 0.006723
[353/5000][65/535][36121] Loss_D: -0.030807 Loss_G: 0.029853 Loss_D_real: -0.030464 Loss_D_fake 0.000343
[353/5000][70/535][36122] Loss_D: -0.031279 Loss_G: 0.021580 Loss_D_real: -0.021270 Loss_D_fake 0.010009
[353/5000][75/535][36123] Loss_D: -0.030559 Loss_G: 0.017018 Loss_D_real: -0.025177 Loss_D_fake 0.005382
[353/5000][80/535][36124] Loss_D: -0.030334 Loss_G: -0.006509 Loss_D_real: -0.009843 Loss_D_fake 0.020491
[353/5000][85/535][36125] Loss_D: -0.029842 Loss_G: 0.031975 Loss_D_real: -0.034880 Loss_D_fake -0.005038
[353/5000][90/535][36126] Loss_D: -0.029375 Loss_G: 0.015019 Loss_D_real: -0.024771 Loss_D_fake 0.004604
[353/5000][95/535][36127] Loss_D: -0.027918 Loss_G: 0.032819 Loss_D_real: -0.032940 Loss_D_fake -0.005023
[353/5000][100/535][36128] Loss_D: -0.030288 Loss_G: 0.010372 Loss_D_real: -0.014743 Loss_D_fake 0.015546
[353/5000][105/535][36129] Loss_D: -0.030566 Loss_G: 0.023261 Loss_D_real: -0.033332 Loss_D_fake -0.002766
[353/5000][110/535][36130] Loss_D: -0.030886 Loss_G: 0.014633 Loss_D_real: -0.025437 Loss_D_fake 0.005449
[353/5000][115/535][36131] Loss_D: -0.031252 Loss_G: 0.025413 Loss_D_real: -0.025838 Loss_D_fake 0.005414
[353/5000][120/535][36132] Loss_D: -0.030528 Loss_G: -0.009638 Loss_D_real: -0.005610 Loss_D_fake 0.024917
[353/5000][125/535][36133] Loss_D: -0.030794 Loss_G: 0.019585 Loss_D_real: -0.023152 Loss_D_fake 0.007642
[353/5000][130/535][36134] Loss_D: -0.029323 Loss_G: -0.005642 Loss_D_real: -0.009821 Loss_D_fake 0.019501
[353/5000][135/535][36135] Loss_D: -0.029107 Loss_G: 0.025878 Loss_D_real: -0.027320 Loss_D_fake 0.001787
[353/5000][140/535][36136] Loss_D: -0.030477 Loss_G: 0.017923 Loss_D_real: -0.021169 Loss_D_fake 0.009308
[353/5000][145/535][36137] Loss_D: -0.029666 Loss_G: 0.003981 Loss_D_real: -0.005014 Loss_D_fake 0.024652
[353/5000][150/535][36138] Loss_D: -0.027789 Loss_G: 0.030245 Loss_D_real: -0.030293 Loss_D_fake -0.002504
[353/5000][155/535][36139] Loss_D: -0.031430 Loss_G: 0.015672 Loss_D_real: -0.017591 Loss_D_fake 0.013839
[353/5000][160/535][36140] Loss_D: -0.030780 Loss_G: -0.001383 Loss_D_real: -0.012297 Loss_D_fake 0.018483
[353/5000][165/535][36141] Loss_D: -0.029669 Loss_G: 0.013515 Loss_D_real: -0.011806 Loss_D_fake 0.017863
[353/5000][170/535][36142] Loss_D: -0.029267 Loss_G: -0.000379 Loss_D_real: -0.006926 Loss_D_fake 0.022341
[353/5000][175/535][36143] Loss_D: -0.027896 Loss_G: 0.019670 Loss_D_real: -0.025727 Loss_D_fake 0.002168
[353/5000][180/535][36144] Loss_D: -0.029816 Loss_G: 0.004391 Loss_D_real: -0.013475 Loss_D_fake 0.016341
[353/5000][185/535][36145] Loss_D: -0.030165 Loss_G: 0.032553 Loss_D_real: -0.023928 Loss_D_fake 0.006237
[353/5000][190/535][36146] Loss_D: -0.029838 Loss_G: 0.010550 Loss_D_real: -0.021495 Loss_D_fake 0.008344
[353/5000][195/535][36147] Loss_D: -0.030088 Loss_G: 0.039179 Loss_D_real: -0.041342 Loss_D_fake -0.011255
[353/5000][200/535][36148] Loss_D: -0.030464 Loss_G: 0.007748 Loss_D_real: -0.013897 Loss_D_fake 0.016567
[353/5000][205/535][36149] Loss_D: -0.029494 Loss_G: 0.003328 Loss_D_real: -0.006889 Loss_D_fake 0.022605
[353/5000][210/535][36150] Loss_D: -0.030467 Loss_G: 0.025500 Loss_D_real: -0.023321 Loss_D_fake 0.007146
[353/5000][215/535][36151] Loss_D: -0.030384 Loss_G: 0.035432 Loss_D_real: -0.032864 Loss_D_fake -0.002480
[353/5000][220/535][36152] Loss_D: -0.030809 Loss_G: 0.033917 Loss_D_real: -0.023228 Loss_D_fake 0.007581
[353/5000][225/535][36153] Loss_D: -0.032058 Loss_G: 0.018120 Loss_D_real: -0.022253 Loss_D_fake 0.009805
[353/5000][230/535][36154] Loss_D: -0.031166 Loss_G: 0.024701 Loss_D_real: -0.027950 Loss_D_fake 0.003216
[353/5000][235/535][36155] Loss_D: -0.030351 Loss_G: 0.024368 Loss_D_real: -0.024839 Loss_D_fake 0.005511
[353/5000][240/535][36156] Loss_D: -0.030899 Loss_G: 0.014185 Loss_D_real: -0.017040 Loss_D_fake 0.013859
[353/5000][245/535][36157] Loss_D: -0.030572 Loss_G: 0.001176 Loss_D_real: -0.013393 Loss_D_fake 0.017178
[353/5000][250/535][36158] Loss_D: -0.030903 Loss_G: 0.021340 Loss_D_real: -0.022746 Loss_D_fake 0.008157
[353/5000][255/535][36159] Loss_D: -0.031905 Loss_G: 0.016742 Loss_D_real: -0.017195 Loss_D_fake 0.014710
[353/5000][260/535][36160] Loss_D: -0.029578 Loss_G: 0.009791 Loss_D_real: -0.013295 Loss_D_fake 0.016283
[353/5000][265/535][36161] Loss_D: -0.029419 Loss_G: 0.009859 Loss_D_real: -0.015524 Loss_D_fake 0.013895
[353/5000][270/535][36162] Loss_D: -0.031231 Loss_G: 0.013689 Loss_D_real: -0.020594 Loss_D_fake 0.010637
[353/5000][275/535][36163] Loss_D: -0.029580 Loss_G: 0.037663 Loss_D_real: -0.042812 Loss_D_fake -0.013232
[353/5000][280/535][36164] Loss_D: -0.030900 Loss_G: 0.013070 Loss_D_real: -0.018449 Loss_D_fake 0.012451
[353/5000][285/535][36165] Loss_D: -0.030360 Loss_G: 0.002110 Loss_D_real: -0.006247 Loss_D_fake 0.024113
[353/5000][290/535][36166] Loss_D: -0.031261 Loss_G: 0.029401 Loss_D_real: -0.024533 Loss_D_fake 0.006728
[353/5000][295/535][36167] Loss_D: -0.031152 Loss_G: 0.010833 Loss_D_real: -0.019091 Loss_D_fake 0.012062
[353/5000][300/535][36168] Loss_D: -0.030659 Loss_G: 0.015557 Loss_D_real: -0.024746 Loss_D_fake 0.005913
[353/5000][305/535][36169] Loss_D: -0.031013 Loss_G: 0.017581 Loss_D_real: -0.012754 Loss_D_fake 0.018259
[353/5000][310/535][36170] Loss_D: -0.032034 Loss_G: 0.026566 Loss_D_real: -0.013686 Loss_D_fake 0.018348
[353/5000][315/535][36171] Loss_D: -0.029933 Loss_G: -0.003475 Loss_D_real: -0.002302 Loss_D_fake 0.027631
[353/5000][320/535][36172] Loss_D: -0.029169 Loss_G: 0.028796 Loss_D_real: -0.023119 Loss_D_fake 0.006050
[353/5000][325/535][36173] Loss_D: -0.030623 Loss_G: 0.022477 Loss_D_real: -0.022293 Loss_D_fake 0.008330
[353/5000][330/535][36174] Loss_D: -0.030640 Loss_G: 0.018292 Loss_D_real: -0.014781 Loss_D_fake 0.015858
[353/5000][335/535][36175] Loss_D: -0.031645 Loss_G: 0.033001 Loss_D_real: -0.023299 Loss_D_fake 0.008346
[353/5000][340/535][36176] Loss_D: -0.030767 Loss_G: -0.000914 Loss_D_real: -0.011446 Loss_D_fake 0.019321
[353/5000][345/535][36177] Loss_D: -0.029716 Loss_G: 0.044857 Loss_D_real: -0.032930 Loss_D_fake -0.003213
[353/5000][350/535][36178] Loss_D: -0.029118 Loss_G: -0.006216 Loss_D_real: -0.002822 Loss_D_fake 0.026296
[353/5000][355/535][36179] Loss_D: -0.030422 Loss_G: 0.026591 Loss_D_real: -0.038682 Loss_D_fake -0.008260
[353/5000][360/535][36180] Loss_D: -0.029966 Loss_G: -0.005986 Loss_D_real: -0.004658 Loss_D_fake 0.025308
[353/5000][365/535][36181] Loss_D: -0.029891 Loss_G: 0.010479 Loss_D_real: -0.028885 Loss_D_fake 0.001006
[353/5000][370/535][36182] Loss_D: -0.029585 Loss_G: 0.006281 Loss_D_real: -0.012221 Loss_D_fake 0.017363
[353/5000][375/535][36183] Loss_D: -0.029840 Loss_G: 0.028630 Loss_D_real: -0.025976 Loss_D_fake 0.003864
[353/5000][380/535][36184] Loss_D: -0.031538 Loss_G: 0.026203 Loss_D_real: -0.025608 Loss_D_fake 0.005930
[353/5000][385/535][36185] Loss_D: -0.029498 Loss_G: 0.035455 Loss_D_real: -0.026758 Loss_D_fake 0.002740
[353/5000][390/535][36186] Loss_D: -0.029212 Loss_G: 0.000642 Loss_D_real: -0.005803 Loss_D_fake 0.023409
[353/5000][395/535][36187] Loss_D: -0.028759 Loss_G: 0.022381 Loss_D_real: -0.024037 Loss_D_fake 0.004723
[353/5000][400/535][36188] Loss_D: -0.029116 Loss_G: 0.026309 Loss_D_real: -0.027840 Loss_D_fake 0.001276
[353/5000][405/535][36189] Loss_D: -0.030985 Loss_G: 0.005092 Loss_D_real: -0.012231 Loss_D_fake 0.018754
[353/5000][410/535][36190] Loss_D: -0.030724 Loss_G: 0.036931 Loss_D_real: -0.031587 Loss_D_fake -0.000863
[353/5000][415/535][36191] Loss_D: -0.030980 Loss_G: 0.004073 Loss_D_real: -0.002131 Loss_D_fake 0.028849
[353/5000][420/535][36192] Loss_D: -0.030326 Loss_G: 0.019439 Loss_D_real: -0.026939 Loss_D_fake 0.003387
[353/5000][425/535][36193] Loss_D: -0.031029 Loss_G: 0.017615 Loss_D_real: -0.020479 Loss_D_fake 0.010550
[353/5000][430/535][36194] Loss_D: -0.031798 Loss_G: 0.021287 Loss_D_real: -0.029568 Loss_D_fake 0.002230
[353/5000][435/535][36195] Loss_D: -0.030862 Loss_G: 0.008547 Loss_D_real: -0.022965 Loss_D_fake 0.007897
[353/5000][440/535][36196] Loss_D: -0.031410 Loss_G: 0.026814 Loss_D_real: -0.037190 Loss_D_fake -0.005780
[353/5000][445/535][36197] Loss_D: -0.031556 Loss_G: 0.034769 Loss_D_real: -0.035823 Loss_D_fake -0.004267
[353/5000][450/535][36198] Loss_D: -0.029832 Loss_G: 0.027622 Loss_D_real: -0.027324 Loss_D_fake 0.002508
[353/5000][455/535][36199] Loss_D: -0.032961 Loss_G: -0.007052 Loss_D_real: -0.013959 Loss_D_fake 0.019003
[353/5000][460/535][36200] Loss_D: -0.029689 Loss_G: -0.005682 Loss_D_real: -0.004273 Loss_D_fake 0.025415
[353/5000][465/535][36201] Loss_D: -0.030648 Loss_G: 0.031501 Loss_D_real: -0.026333 Loss_D_fake 0.004316
[353/5000][470/535][36202] Loss_D: -0.029864 Loss_G: 0.011500 Loss_D_real: -0.016551 Loss_D_fake 0.013313
[353/5000][475/535][36203] Loss_D: -0.030054 Loss_G: 0.026285 Loss_D_real: -0.023408 Loss_D_fake 0.006646
[353/5000][480/535][36204] Loss_D: -0.031556 Loss_G: 0.015015 Loss_D_real: -0.020202 Loss_D_fake 0.011354
[353/5000][485/535][36205] Loss_D: -0.029931 Loss_G: 0.042106 Loss_D_real: -0.035724 Loss_D_fake -0.005793
[353/5000][490/535][36206] Loss_D: -0.029938 Loss_G: 0.002122 Loss_D_real: -0.007309 Loss_D_fake 0.022629
[353/5000][495/535][36207] Loss_D: -0.029774 Loss_G: 0.005651 Loss_D_real: -0.022743 Loss_D_fake 0.007031
[353/5000][500/535][36208] Loss_D: -0.030496 Loss_G: 0.035538 Loss_D_real: -0.029316 Loss_D_fake 0.001179
[353/5000][505/535][36209] Loss_D: -0.031940 Loss_G: 0.017450 Loss_D_real: -0.013932 Loss_D_fake 0.018008
[353/5000][510/535][36210] Loss_D: -0.030707 Loss_G: -0.005745 Loss_D_real: -0.004967 Loss_D_fake 0.025739
[353/5000][515/535][36211] Loss_D: -0.030414 Loss_G: 0.019999 Loss_D_real: -0.022490 Loss_D_fake 0.007924
[353/5000][520/535][36212] Loss_D: -0.031536 Loss_G: 0.023768 Loss_D_real: -0.019329 Loss_D_fake 0.012208
[353/5000][525/535][36213] Loss_D: -0.030500 Loss_G: 0.017106 Loss_D_real: -0.018329 Loss_D_fake 0.012171
[353/5000][530/535][36214] Loss_D: -0.030873 Loss_G: -0.000512 Loss_D_real: -0.001004 Loss_D_fake 0.029869
[353/5000][535/535][36215] Loss_D: -0.031120 Loss_G: 0.027392 Loss_D_real: -0.026654 Loss_D_fake 0.004466
[354/5000][5/535][36216] Loss_D: -0.030186 Loss_G: 0.027759 Loss_D_real: -0.039448 Loss_D_fake -0.009262
[354/5000][10/535][36217] Loss_D: -0.032631 Loss_G: 0.006344 Loss_D_real: -0.007520 Loss_D_fake 0.025111
[354/5000][15/535][36218] Loss_D: -0.029699 Loss_G: -0.003022 Loss_D_real: -0.001984 Loss_D_fake 0.027715
[354/5000][20/535][36219] Loss_D: -0.029814 Loss_G: 0.005393 Loss_D_real: -0.004373 Loss_D_fake 0.025440
[354/5000][25/535][36220] Loss_D: -0.029265 Loss_G: 0.011715 Loss_D_real: -0.012490 Loss_D_fake 0.016775
[354/5000][30/535][36221] Loss_D: -0.029748 Loss_G: 0.008933 Loss_D_real: -0.020518 Loss_D_fake 0.009230
[354/5000][35/535][36222] Loss_D: -0.031177 Loss_G: 0.006269 Loss_D_real: -0.016809 Loss_D_fake 0.014369
[354/5000][40/535][36223] Loss_D: -0.029874 Loss_G: 0.025495 Loss_D_real: -0.023592 Loss_D_fake 0.006283
[354/5000][45/535][36224] Loss_D: -0.030128 Loss_G: 0.027950 Loss_D_real: -0.036758 Loss_D_fake -0.006630
[354/5000][50/535][36225] Loss_D: -0.030474 Loss_G: 0.026358 Loss_D_real: -0.030848 Loss_D_fake -0.000374
[354/5000][55/535][36226] Loss_D: -0.029382 Loss_G: 0.026383 Loss_D_real: -0.028325 Loss_D_fake 0.001057
[354/5000][60/535][36227] Loss_D: -0.030178 Loss_G: 0.003562 Loss_D_real: -0.012267 Loss_D_fake 0.017911
[354/5000][65/535][36228] Loss_D: -0.029765 Loss_G: 0.031192 Loss_D_real: -0.032045 Loss_D_fake -0.002280
[354/5000][70/535][36229] Loss_D: -0.030255 Loss_G: 0.015613 Loss_D_real: -0.020069 Loss_D_fake 0.010186
[354/5000][75/535][36230] Loss_D: -0.030574 Loss_G: 0.003083 Loss_D_real: -0.011427 Loss_D_fake 0.019148
[354/5000][80/535][36231] Loss_D: -0.028424 Loss_G: 0.036509 Loss_D_real: -0.033187 Loss_D_fake -0.004763
[354/5000][85/535][36232] Loss_D: -0.029211 Loss_G: 0.001642 Loss_D_real: -0.005190 Loss_D_fake 0.024021
[354/5000][90/535][36233] Loss_D: -0.031051 Loss_G: 0.021443 Loss_D_real: -0.024125 Loss_D_fake 0.006926
[354/5000][95/535][36234] Loss_D: -0.030757 Loss_G: -0.000004 Loss_D_real: -0.009767 Loss_D_fake 0.020990
[354/5000][100/535][36235] Loss_D: -0.030538 Loss_G: 0.030976 Loss_D_real: -0.031798 Loss_D_fake -0.001260
[354/5000][105/535][36236] Loss_D: -0.030866 Loss_G: -0.009013 Loss_D_real: -0.009446 Loss_D_fake 0.021420
[354/5000][110/535][36237] Loss_D: -0.030540 Loss_G: 0.000740 Loss_D_real: -0.022369 Loss_D_fake 0.008171
[354/5000][115/535][36238] Loss_D: -0.029211 Loss_G: 0.011625 Loss_D_real: -0.021639 Loss_D_fake 0.007572
[354/5000][120/535][36239] Loss_D: -0.030036 Loss_G: 0.023838 Loss_D_real: -0.035188 Loss_D_fake -0.005152
[354/5000][125/535][36240] Loss_D: -0.030423 Loss_G: -0.002952 Loss_D_real: -0.002802 Loss_D_fake 0.027621
[354/5000][130/535][36241] Loss_D: -0.029668 Loss_G: 0.008552 Loss_D_real: -0.011279 Loss_D_fake 0.018389
[354/5000][135/535][36242] Loss_D: -0.031784 Loss_G: 0.011323 Loss_D_real: -0.013051 Loss_D_fake 0.018733
[354/5000][140/535][36243] Loss_D: -0.030233 Loss_G: 0.013361 Loss_D_real: -0.022516 Loss_D_fake 0.007717
[354/5000][145/535][36244] Loss_D: -0.031862 Loss_G: 0.010944 Loss_D_real: -0.013837 Loss_D_fake 0.018024
[354/5000][150/535][36245] Loss_D: -0.030437 Loss_G: 0.024461 Loss_D_real: -0.029741 Loss_D_fake 0.000695
[354/5000][155/535][36246] Loss_D: -0.030931 Loss_G: 0.035809 Loss_D_real: -0.030514 Loss_D_fake 0.000417
[354/5000][160/535][36247] Loss_D: -0.029288 Loss_G: 0.010368 Loss_D_real: -0.006386 Loss_D_fake 0.022903
[354/5000][165/535][36248] Loss_D: -0.029750 Loss_G: 0.000519 Loss_D_real: -0.017187 Loss_D_fake 0.012562
[354/5000][170/535][36249] Loss_D: -0.030611 Loss_G: 0.017165 Loss_D_real: -0.024586 Loss_D_fake 0.006025
[354/5000][175/535][36250] Loss_D: -0.030870 Loss_G: 0.029092 Loss_D_real: -0.027275 Loss_D_fake 0.003596
[354/5000][180/535][36251] Loss_D: -0.031540 Loss_G: 0.032392 Loss_D_real: -0.033959 Loss_D_fake -0.002420
[354/5000][185/535][36252] Loss_D: -0.030144 Loss_G: -0.007948 Loss_D_real: 0.001693 Loss_D_fake 0.031837
[354/5000][190/535][36253] Loss_D: -0.031095 Loss_G: 0.008742 Loss_D_real: -0.017736 Loss_D_fake 0.013359
[354/5000][195/535][36254] Loss_D: -0.030747 Loss_G: 0.021901 Loss_D_real: -0.021674 Loss_D_fake 0.009072
[354/5000][200/535][36255] Loss_D: -0.030034 Loss_G: 0.013915 Loss_D_real: -0.011391 Loss_D_fake 0.018643
[354/5000][205/535][36256] Loss_D: -0.031236 Loss_G: 0.003464 Loss_D_real: -0.006540 Loss_D_fake 0.024696
[354/5000][210/535][36257] Loss_D: -0.030624 Loss_G: 0.030439 Loss_D_real: -0.030505 Loss_D_fake 0.000119
[354/5000][215/535][36258] Loss_D: -0.030881 Loss_G: -0.006566 Loss_D_real: -0.008633 Loss_D_fake 0.022248
[354/5000][220/535][36259] Loss_D: -0.030538 Loss_G: 0.022399 Loss_D_real: -0.021924 Loss_D_fake 0.008615
[354/5000][225/535][36260] Loss_D: -0.029406 Loss_G: 0.008694 Loss_D_real: -0.026387 Loss_D_fake 0.003019
[354/5000][230/535][36261] Loss_D: -0.030219 Loss_G: 0.015892 Loss_D_real: -0.022474 Loss_D_fake 0.007744
[354/5000][235/535][36262] Loss_D: -0.030310 Loss_G: -0.007496 Loss_D_real: -0.004656 Loss_D_fake 0.025654
[354/5000][240/535][36263] Loss_D: -0.030554 Loss_G: -0.000195 Loss_D_real: -0.008818 Loss_D_fake 0.021736
[354/5000][245/535][36264] Loss_D: -0.031491 Loss_G: 0.021796 Loss_D_real: -0.024306 Loss_D_fake 0.007185
[354/5000][250/535][36265] Loss_D: -0.031958 Loss_G: 0.010940 Loss_D_real: -0.010650 Loss_D_fake 0.021308
[354/5000][255/535][36266] Loss_D: -0.031098 Loss_G: 0.005895 Loss_D_real: -0.013890 Loss_D_fake 0.017208
[354/5000][260/535][36267] Loss_D: -0.031160 Loss_G: 0.006906 Loss_D_real: -0.017416 Loss_D_fake 0.013744
[354/5000][265/535][36268] Loss_D: -0.030695 Loss_G: 0.026540 Loss_D_real: -0.027037 Loss_D_fake 0.003658
[354/5000][270/535][36269] Loss_D: -0.027866 Loss_G: 0.039556 Loss_D_real: -0.036878 Loss_D_fake -0.009011
[354/5000][275/535][36270] Loss_D: -0.031781 Loss_G: -0.006288 Loss_D_real: -0.009726 Loss_D_fake 0.022055
[354/5000][280/535][36271] Loss_D: -0.030565 Loss_G: 0.031478 Loss_D_real: -0.024605 Loss_D_fake 0.005961
[354/5000][285/535][36272] Loss_D: -0.030831 Loss_G: 0.007389 Loss_D_real: -0.014906 Loss_D_fake 0.015925
[354/5000][290/535][36273] Loss_D: -0.029706 Loss_G: -0.002995 Loss_D_real: -0.007510 Loss_D_fake 0.022196
[354/5000][295/535][36274] Loss_D: -0.030301 Loss_G: 0.025468 Loss_D_real: -0.028586 Loss_D_fake 0.001716
[354/5000][300/535][36275] Loss_D: -0.030076 Loss_G: 0.009973 Loss_D_real: -0.016249 Loss_D_fake 0.013827
[354/5000][305/535][36276] Loss_D: -0.030427 Loss_G: 0.039293 Loss_D_real: -0.032154 Loss_D_fake -0.001728
[354/5000][310/535][36277] Loss_D: -0.029168 Loss_G: 0.026658 Loss_D_real: -0.016597 Loss_D_fake 0.012571
[354/5000][315/535][36278] Loss_D: -0.030376 Loss_G: 0.010130 Loss_D_real: -0.016773 Loss_D_fake 0.013603
[354/5000][320/535][36279] Loss_D: -0.029719 Loss_G: 0.030867 Loss_D_real: -0.027759 Loss_D_fake 0.001959
[354/5000][325/535][36280] Loss_D: -0.029619 Loss_G: 0.017630 Loss_D_real: -0.026340 Loss_D_fake 0.003279
[354/5000][330/535][36281] Loss_D: -0.029637 Loss_G: -0.007265 Loss_D_real: 0.003322 Loss_D_fake 0.032959
[354/5000][335/535][36282] Loss_D: -0.029080 Loss_G: 0.031004 Loss_D_real: -0.029973 Loss_D_fake -0.000892
[354/5000][340/535][36283] Loss_D: -0.029004 Loss_G: 0.039172 Loss_D_real: -0.032932 Loss_D_fake -0.003928
[354/5000][345/535][36284] Loss_D: -0.030541 Loss_G: 0.023312 Loss_D_real: -0.016929 Loss_D_fake 0.013612
[354/5000][350/535][36285] Loss_D: -0.029883 Loss_G: 0.009917 Loss_D_real: -0.016890 Loss_D_fake 0.012993
[354/5000][355/535][36286] Loss_D: -0.029558 Loss_G: 0.027789 Loss_D_real: -0.028988 Loss_D_fake 0.000570
[354/5000][360/535][36287] Loss_D: -0.030134 Loss_G: 0.021517 Loss_D_real: -0.022653 Loss_D_fake 0.007481
[354/5000][365/535][36288] Loss_D: -0.029929 Loss_G: 0.037706 Loss_D_real: -0.032772 Loss_D_fake -0.002843
[354/5000][370/535][36289] Loss_D: -0.030894 Loss_G: 0.007325 Loss_D_real: -0.012407 Loss_D_fake 0.018487
[354/5000][375/535][36290] Loss_D: -0.031087 Loss_G: 0.012661 Loss_D_real: -0.027298 Loss_D_fake 0.003789
[354/5000][380/535][36291] Loss_D: -0.028631 Loss_G: -0.019831 Loss_D_real: 0.001215 Loss_D_fake 0.029846
[354/5000][385/535][36292] Loss_D: -0.030267 Loss_G: 0.018885 Loss_D_real: -0.026024 Loss_D_fake 0.004244
[354/5000][390/535][36293] Loss_D: -0.030203 Loss_G: -0.002249 Loss_D_real: -0.014068 Loss_D_fake 0.016135
[354/5000][395/535][36294] Loss_D: -0.029887 Loss_G: 0.036527 Loss_D_real: -0.034271 Loss_D_fake -0.004384
[354/5000][400/535][36295] Loss_D: -0.030848 Loss_G: 0.006310 Loss_D_real: -0.019974 Loss_D_fake 0.010874
[354/5000][405/535][36296] Loss_D: -0.029097 Loss_G: 0.027852 Loss_D_real: -0.029063 Loss_D_fake 0.000035
[354/5000][410/535][36297] Loss_D: -0.031643 Loss_G: 0.012163 Loss_D_real: -0.012022 Loss_D_fake 0.019621
[354/5000][415/535][36298] Loss_D: -0.029711 Loss_G: 0.020472 Loss_D_real: -0.017328 Loss_D_fake 0.012383
[354/5000][420/535][36299] Loss_D: -0.030028 Loss_G: 0.003052 Loss_D_real: -0.004416 Loss_D_fake 0.025611
[354/5000][425/535][36300] Loss_D: -0.029819 Loss_G: 0.013000 Loss_D_real: -0.016101 Loss_D_fake 0.013719
[354/5000][430/535][36301] Loss_D: -0.030715 Loss_G: -0.004870 Loss_D_real: -0.003638 Loss_D_fake 0.027077
[354/5000][435/535][36302] Loss_D: -0.029755 Loss_G: 0.034688 Loss_D_real: -0.037790 Loss_D_fake -0.008035
[354/5000][440/535][36303] Loss_D: -0.030212 Loss_G: 0.018353 Loss_D_real: -0.012404 Loss_D_fake 0.017808
[354/5000][445/535][36304] Loss_D: -0.029583 Loss_G: 0.024313 Loss_D_real: -0.033185 Loss_D_fake -0.003602
[354/5000][450/535][36305] Loss_D: -0.029853 Loss_G: 0.022172 Loss_D_real: -0.031922 Loss_D_fake -0.002070
[354/5000][455/535][36306] Loss_D: -0.029461 Loss_G: 0.022905 Loss_D_real: -0.030969 Loss_D_fake -0.001507
[354/5000][460/535][36307] Loss_D: -0.031137 Loss_G: 0.011628 Loss_D_real: -0.021098 Loss_D_fake 0.010039
[354/5000][465/535][36308] Loss_D: -0.029422 Loss_G: 0.009848 Loss_D_real: -0.025204 Loss_D_fake 0.004219
[354/5000][470/535][36309] Loss_D: -0.030376 Loss_G: 0.029498 Loss_D_real: -0.028991 Loss_D_fake 0.001385
[354/5000][475/535][36310] Loss_D: -0.029541 Loss_G: -0.017413 Loss_D_real: 0.001882 Loss_D_fake 0.031423
[354/5000][480/535][36311] Loss_D: -0.029391 Loss_G: 0.033441 Loss_D_real: -0.041018 Loss_D_fake -0.011627
[354/5000][485/535][36312] Loss_D: -0.029578 Loss_G: 0.036718 Loss_D_real: -0.029588 Loss_D_fake -0.000010
[354/5000][490/535][36313] Loss_D: -0.030442 Loss_G: -0.000715 Loss_D_real: -0.008189 Loss_D_fake 0.022253
[354/5000][495/535][36314] Loss_D: -0.030061 Loss_G: 0.024635 Loss_D_real: -0.021299 Loss_D_fake 0.008761
[354/5000][500/535][36315] Loss_D: -0.030769 Loss_G: 0.013194 Loss_D_real: -0.012499 Loss_D_fake 0.018270
[354/5000][505/535][36316] Loss_D: -0.030071 Loss_G: 0.009046 Loss_D_real: -0.018135 Loss_D_fake 0.011936
[354/5000][510/535][36317] Loss_D: -0.029981 Loss_G: 0.020362 Loss_D_real: -0.020914 Loss_D_fake 0.009067
[354/5000][515/535][36318] Loss_D: -0.030006 Loss_G: 0.027998 Loss_D_real: -0.033788 Loss_D_fake -0.003781
[354/5000][520/535][36319] Loss_D: -0.030230 Loss_G: -0.004328 Loss_D_real: -0.008748 Loss_D_fake 0.021482
[354/5000][525/535][36320] Loss_D: -0.029163 Loss_G: 0.025525 Loss_D_real: -0.024655 Loss_D_fake 0.004508
[354/5000][530/535][36321] Loss_D: -0.030696 Loss_G: 0.005463 Loss_D_real: -0.011865 Loss_D_fake 0.018831
[354/5000][535/535][36322] Loss_D: -0.030225 Loss_G: 0.035235 Loss_D_real: -0.032434 Loss_D_fake -0.002209
[355/5000][5/535][36323] Loss_D: -0.030955 Loss_G: 0.010910 Loss_D_real: -0.017490 Loss_D_fake 0.013464
[355/5000][10/535][36324] Loss_D: -0.029702 Loss_G: 0.017764 Loss_D_real: -0.017780 Loss_D_fake 0.011922
[355/5000][15/535][36325] Loss_D: -0.030555 Loss_G: 0.014467 Loss_D_real: -0.019806 Loss_D_fake 0.010749
[355/5000][20/535][36326] Loss_D: -0.029700 Loss_G: 0.000817 Loss_D_real: -0.011940 Loss_D_fake 0.017760
[355/5000][25/535][36327] Loss_D: -0.030118 Loss_G: 0.017941 Loss_D_real: -0.013172 Loss_D_fake 0.016946
[355/5000][30/535][36328] Loss_D: -0.029793 Loss_G: 0.024152 Loss_D_real: -0.027843 Loss_D_fake 0.001950
[355/5000][35/535][36329] Loss_D: -0.029284 Loss_G: 0.035954 Loss_D_real: -0.031289 Loss_D_fake -0.002005
[355/5000][40/535][36330] Loss_D: -0.031393 Loss_G: -0.001971 Loss_D_real: -0.004296 Loss_D_fake 0.027097
[355/5000][45/535][36331] Loss_D: -0.027996 Loss_G: 0.024331 Loss_D_real: -0.024561 Loss_D_fake 0.003435
[355/5000][50/535][36332] Loss_D: -0.029006 Loss_G: -0.016593 Loss_D_real: -0.000185 Loss_D_fake 0.028822
[355/5000][55/535][36333] Loss_D: -0.029273 Loss_G: 0.021277 Loss_D_real: -0.025475 Loss_D_fake 0.003798
[355/5000][60/535][36334] Loss_D: -0.031185 Loss_G: -0.006961 Loss_D_real: -0.015045 Loss_D_fake 0.016140
[355/5000][65/535][36335] Loss_D: -0.028728 Loss_G: 0.027603 Loss_D_real: -0.019383 Loss_D_fake 0.009346
[355/5000][70/535][36336] Loss_D: -0.030295 Loss_G: 0.004650 Loss_D_real: -0.011552 Loss_D_fake 0.018743
[355/5000][75/535][36337] Loss_D: -0.030462 Loss_G: 0.026072 Loss_D_real: -0.026814 Loss_D_fake 0.003648
[355/5000][80/535][36338] Loss_D: -0.031160 Loss_G: 0.018646 Loss_D_real: -0.014255 Loss_D_fake 0.016905
[355/5000][85/535][36339] Loss_D: -0.030588 Loss_G: 0.016610 Loss_D_real: -0.023081 Loss_D_fake 0.007507
[355/5000][90/535][36340] Loss_D: -0.030530 Loss_G: 0.023832 Loss_D_real: -0.020297 Loss_D_fake 0.010232
[355/5000][95/535][36341] Loss_D: -0.029591 Loss_G: 0.022109 Loss_D_real: -0.022245 Loss_D_fake 0.007346
[355/5000][100/535][36342] Loss_D: -0.030826 Loss_G: 0.018437 Loss_D_real: -0.024941 Loss_D_fake 0.005886
[355/5000][105/535][36343] Loss_D: -0.029128 Loss_G: 0.029220 Loss_D_real: -0.025443 Loss_D_fake 0.003685
[355/5000][110/535][36344] Loss_D: -0.030587 Loss_G: 0.017934 Loss_D_real: -0.022421 Loss_D_fake 0.008166
[355/5000][115/535][36345] Loss_D: -0.029073 Loss_G: 0.011599 Loss_D_real: -0.025273 Loss_D_fake 0.003801
[355/5000][120/535][36346] Loss_D: -0.030590 Loss_G: 0.005616 Loss_D_real: -0.004285 Loss_D_fake 0.026305
[355/5000][125/535][36347] Loss_D: -0.030287 Loss_G: 0.041770 Loss_D_real: -0.035495 Loss_D_fake -0.005208
[355/5000][130/535][36348] Loss_D: -0.028490 Loss_G: 0.005753 Loss_D_real: -0.006260 Loss_D_fake 0.022230
[355/5000][135/535][36349] Loss_D: -0.029937 Loss_G: 0.022853 Loss_D_real: -0.030936 Loss_D_fake -0.000999
[355/5000][140/535][36350] Loss_D: -0.030682 Loss_G: 0.020524 Loss_D_real: -0.030793 Loss_D_fake -0.000111
[355/5000][145/535][36351] Loss_D: -0.031699 Loss_G: 0.019538 Loss_D_real: -0.022156 Loss_D_fake 0.009543
[355/5000][150/535][36352] Loss_D: -0.029022 Loss_G: 0.040651 Loss_D_real: -0.037581 Loss_D_fake -0.008560
[355/5000][155/535][36353] Loss_D: -0.029732 Loss_G: 0.024014 Loss_D_real: -0.030643 Loss_D_fake -0.000911
[355/5000][160/535][36354] Loss_D: -0.030185 Loss_G: -0.010659 Loss_D_real: -0.001187 Loss_D_fake 0.028998
[355/5000][165/535][36355] Loss_D: -0.030527 Loss_G: 0.017215 Loss_D_real: -0.013421 Loss_D_fake 0.017106
[355/5000][170/535][36356] Loss_D: -0.031618 Loss_G: 0.019356 Loss_D_real: -0.033762 Loss_D_fake -0.002144
[355/5000][175/535][36357] Loss_D: -0.031153 Loss_G: -0.002508 Loss_D_real: -0.007495 Loss_D_fake 0.023657
[355/5000][180/535][36358] Loss_D: -0.029909 Loss_G: 0.029475 Loss_D_real: -0.032562 Loss_D_fake -0.002653
[355/5000][185/535][36359] Loss_D: -0.029015 Loss_G: 0.031195 Loss_D_real: -0.035514 Loss_D_fake -0.006499
[355/5000][190/535][36360] Loss_D: -0.031164 Loss_G: 0.012817 Loss_D_real: -0.014603 Loss_D_fake 0.016562
[355/5000][195/535][36361] Loss_D: -0.030722 Loss_G: 0.029036 Loss_D_real: -0.020809 Loss_D_fake 0.009913
[355/5000][200/535][36362] Loss_D: -0.030829 Loss_G: 0.015143 Loss_D_real: -0.018095 Loss_D_fake 0.012734
[355/5000][205/535][36363] Loss_D: -0.026924 Loss_G: 0.040407 Loss_D_real: -0.035225 Loss_D_fake -0.008300
[355/5000][210/535][36364] Loss_D: -0.030198 Loss_G: 0.010253 Loss_D_real: -0.022152 Loss_D_fake 0.008046
[355/5000][215/535][36365] Loss_D: -0.031495 Loss_G: 0.018763 Loss_D_real: -0.021996 Loss_D_fake 0.009500
[355/5000][220/535][36366] Loss_D: -0.028913 Loss_G: 0.021468 Loss_D_real: -0.007599 Loss_D_fake 0.021314
[355/5000][225/535][36367] Loss_D: -0.030806 Loss_G: 0.024779 Loss_D_real: -0.022554 Loss_D_fake 0.008252
[355/5000][230/535][36368] Loss_D: -0.030217 Loss_G: 0.018634 Loss_D_real: -0.021072 Loss_D_fake 0.009145
[355/5000][235/535][36369] Loss_D: -0.029567 Loss_G: 0.022434 Loss_D_real: -0.014952 Loss_D_fake 0.014615
[355/5000][240/535][36370] Loss_D: -0.029587 Loss_G: 0.002715 Loss_D_real: -0.018086 Loss_D_fake 0.011500
[355/5000][245/535][36371] Loss_D: -0.030159 Loss_G: 0.033434 Loss_D_real: -0.034218 Loss_D_fake -0.004060
[355/5000][250/535][36372] Loss_D: -0.030029 Loss_G: 0.032800 Loss_D_real: -0.031669 Loss_D_fake -0.001640
[355/5000][255/535][36373] Loss_D: -0.030131 Loss_G: 0.006768 Loss_D_real: -0.003413 Loss_D_fake 0.026718
[355/5000][260/535][36374] Loss_D: -0.029264 Loss_G: 0.039852 Loss_D_real: -0.041939 Loss_D_fake -0.012675
[355/5000][265/535][36375] Loss_D: -0.029189 Loss_G: 0.019207 Loss_D_real: -0.017451 Loss_D_fake 0.011738
[355/5000][270/535][36376] Loss_D: -0.031173 Loss_G: 0.019058 Loss_D_real: -0.017317 Loss_D_fake 0.013856
[355/5000][275/535][36377] Loss_D: -0.030226 Loss_G: 0.007241 Loss_D_real: -0.021231 Loss_D_fake 0.008995
[355/5000][280/535][36378] Loss_D: -0.030688 Loss_G: 0.001573 Loss_D_real: -0.009942 Loss_D_fake 0.020746
[355/5000][285/535][36379] Loss_D: -0.030368 Loss_G: 0.039072 Loss_D_real: -0.033306 Loss_D_fake -0.002938
[355/5000][290/535][36380] Loss_D: -0.030535 Loss_G: 0.008193 Loss_D_real: -0.002732 Loss_D_fake 0.027804
[355/5000][295/535][36381] Loss_D: -0.030870 Loss_G: -0.000485 Loss_D_real: 0.000221 Loss_D_fake 0.031091
[355/5000][300/535][36382] Loss_D: -0.030401 Loss_G: -0.014475 Loss_D_real: -0.005022 Loss_D_fake 0.025378
[355/5000][305/535][36383] Loss_D: -0.030935 Loss_G: 0.029143 Loss_D_real: -0.028296 Loss_D_fake 0.002639
[355/5000][310/535][36384] Loss_D: -0.030391 Loss_G: 0.018229 Loss_D_real: -0.016181 Loss_D_fake 0.014211
[355/5000][315/535][36385] Loss_D: -0.030094 Loss_G: 0.037281 Loss_D_real: -0.041336 Loss_D_fake -0.011241
[355/5000][320/535][36386] Loss_D: -0.030237 Loss_G: 0.027391 Loss_D_real: -0.023297 Loss_D_fake 0.006940
[355/5000][325/535][36387] Loss_D: -0.032419 Loss_G: 0.010683 Loss_D_real: -0.023424 Loss_D_fake 0.008995
[355/5000][330/535][36388] Loss_D: -0.029440 Loss_G: 0.037789 Loss_D_real: -0.036288 Loss_D_fake -0.006848
[355/5000][335/535][36389] Loss_D: -0.029237 Loss_G: -0.010957 Loss_D_real: -0.008399 Loss_D_fake 0.020838
[355/5000][340/535][36390] Loss_D: -0.029596 Loss_G: -0.003144 Loss_D_real: -0.012653 Loss_D_fake 0.016943
[355/5000][345/535][36391] Loss_D: -0.030315 Loss_G: 0.020789 Loss_D_real: -0.021051 Loss_D_fake 0.009264
[355/5000][350/535][36392] Loss_D: -0.029357 Loss_G: 0.006147 Loss_D_real: -0.012654 Loss_D_fake 0.016703
[355/5000][355/535][36393] Loss_D: -0.031268 Loss_G: 0.027453 Loss_D_real: -0.026826 Loss_D_fake 0.004442
[355/5000][360/535][36394] Loss_D: -0.031201 Loss_G: 0.025662 Loss_D_real: -0.021077 Loss_D_fake 0.010124
[355/5000][365/535][36395] Loss_D: -0.030843 Loss_G: 0.020928 Loss_D_real: -0.016718 Loss_D_fake 0.014125
[355/5000][370/535][36396] Loss_D: -0.029638 Loss_G: -0.006668 Loss_D_real: -0.005330 Loss_D_fake 0.024308
[355/5000][375/535][36397] Loss_D: -0.029585 Loss_G: 0.011195 Loss_D_real: -0.015703 Loss_D_fake 0.013881
[355/5000][380/535][36398] Loss_D: -0.031170 Loss_G: 0.020378 Loss_D_real: -0.025616 Loss_D_fake 0.005553
[355/5000][385/535][36399] Loss_D: -0.030407 Loss_G: 0.010956 Loss_D_real: -0.005469 Loss_D_fake 0.024938
[355/5000][390/535][36400] Loss_D: -0.032655 Loss_G: 0.020610 Loss_D_real: -0.022595 Loss_D_fake 0.010061
[355/5000][395/535][36401] Loss_D: -0.030575 Loss_G: 0.012857 Loss_D_real: -0.023978 Loss_D_fake 0.006598
[355/5000][400/535][36402] Loss_D: -0.031550 Loss_G: 0.005178 Loss_D_real: -0.008743 Loss_D_fake 0.022807
[355/5000][405/535][36403] Loss_D: -0.029323 Loss_G: 0.028770 Loss_D_real: -0.030094 Loss_D_fake -0.000771
[355/5000][410/535][36404] Loss_D: -0.029504 Loss_G: 0.006817 Loss_D_real: -0.011110 Loss_D_fake 0.018394
[355/5000][415/535][36405] Loss_D: -0.029854 Loss_G: 0.015113 Loss_D_real: -0.017944 Loss_D_fake 0.011910
[355/5000][420/535][36406] Loss_D: -0.028719 Loss_G: 0.005621 Loss_D_real: -0.005795 Loss_D_fake 0.022924
[355/5000][425/535][36407] Loss_D: -0.028487 Loss_G: 0.016975 Loss_D_real: -0.030190 Loss_D_fake -0.001703
[355/5000][430/535][36408] Loss_D: -0.028675 Loss_G: 0.033523 Loss_D_real: -0.034758 Loss_D_fake -0.006083
[355/5000][435/535][36409] Loss_D: -0.032144 Loss_G: 0.003415 Loss_D_real: -0.017285 Loss_D_fake 0.014859
[355/5000][440/535][36410] Loss_D: -0.031277 Loss_G: 0.027756 Loss_D_real: -0.020722 Loss_D_fake 0.010554
[355/5000][445/535][36411] Loss_D: -0.029580 Loss_G: -0.012597 Loss_D_real: -0.002503 Loss_D_fake 0.027077
[355/5000][450/535][36412] Loss_D: -0.030371 Loss_G: 0.030911 Loss_D_real: -0.029466 Loss_D_fake 0.000905
[355/5000][455/535][36413] Loss_D: -0.030114 Loss_G: 0.001014 Loss_D_real: -0.008854 Loss_D_fake 0.021259
[355/5000][460/535][36414] Loss_D: -0.031270 Loss_G: 0.032053 Loss_D_real: -0.030574 Loss_D_fake 0.000696
[355/5000][465/535][36415] Loss_D: -0.030333 Loss_G: 0.015162 Loss_D_real: -0.010232 Loss_D_fake 0.020100
[355/5000][470/535][36416] Loss_D: -0.031569 Loss_G: 0.030088 Loss_D_real: -0.027104 Loss_D_fake 0.004466
[355/5000][475/535][36417] Loss_D: -0.030537 Loss_G: -0.012878 Loss_D_real: 0.001891 Loss_D_fake 0.032428
[355/5000][480/535][36418] Loss_D: -0.029734 Loss_G: 0.022581 Loss_D_real: -0.036059 Loss_D_fake -0.006325
[355/5000][485/535][36419] Loss_D: -0.029935 Loss_G: 0.006722 Loss_D_real: -0.017374 Loss_D_fake 0.012562
[355/5000][490/535][36420] Loss_D: -0.030872 Loss_G: 0.019945 Loss_D_real: -0.027307 Loss_D_fake 0.003564
[355/5000][495/535][36421] Loss_D: -0.029856 Loss_G: 0.036655 Loss_D_real: -0.027237 Loss_D_fake 0.002618
[355/5000][500/535][36422] Loss_D: -0.030093 Loss_G: 0.028722 Loss_D_real: -0.035123 Loss_D_fake -0.005030
[355/5000][505/535][36423] Loss_D: -0.031274 Loss_G: 0.022890 Loss_D_real: -0.022840 Loss_D_fake 0.008434
[355/5000][510/535][36424] Loss_D: -0.029598 Loss_G: 0.032805 Loss_D_real: -0.027665 Loss_D_fake 0.001934
[355/5000][515/535][36425] Loss_D: -0.030089 Loss_G: -0.005847 Loss_D_real: -0.002549 Loss_D_fake 0.027540
[355/5000][520/535][36426] Loss_D: -0.030667 Loss_G: 0.026590 Loss_D_real: -0.032616 Loss_D_fake -0.001950
[355/5000][525/535][36427] Loss_D: -0.031199 Loss_G: 0.020123 Loss_D_real: -0.023146 Loss_D_fake 0.008053
[355/5000][530/535][36428] Loss_D: -0.029820 Loss_G: 0.028865 Loss_D_real: -0.027084 Loss_D_fake 0.002736
[355/5000][535/535][36429] Loss_D: -0.031028 Loss_G: -0.012207 Loss_D_real: -0.018940 Loss_D_fake 0.012087
[356/5000][5/535][36430] Loss_D: -0.030356 Loss_G: -0.002811 Loss_D_real: -0.010078 Loss_D_fake 0.020278
[356/5000][10/535][36431] Loss_D: -0.030798 Loss_G: 0.017714 Loss_D_real: -0.015128 Loss_D_fake 0.015670
[356/5000][15/535][36432] Loss_D: -0.029442 Loss_G: 0.038520 Loss_D_real: -0.030459 Loss_D_fake -0.001017
[356/5000][20/535][36433] Loss_D: -0.028960 Loss_G: -0.006286 Loss_D_real: 0.000690 Loss_D_fake 0.029650
[356/5000][25/535][36434] Loss_D: -0.027590 Loss_G: 0.038292 Loss_D_real: -0.043273 Loss_D_fake -0.015683
[356/5000][30/535][36435] Loss_D: -0.030455 Loss_G: 0.010581 Loss_D_real: -0.013622 Loss_D_fake 0.016833
[356/5000][35/535][36436] Loss_D: -0.029649 Loss_G: 0.039331 Loss_D_real: -0.032732 Loss_D_fake -0.003082
[356/5000][40/535][36437] Loss_D: -0.030043 Loss_G: 0.008353 Loss_D_real: -0.018227 Loss_D_fake 0.011817
[356/5000][45/535][36438] Loss_D: -0.031552 Loss_G: 0.012037 Loss_D_real: -0.008736 Loss_D_fake 0.022816
[356/5000][50/535][36439] Loss_D: -0.029243 Loss_G: -0.001248 Loss_D_real: -0.003792 Loss_D_fake 0.025452
[356/5000][55/535][36440] Loss_D: -0.029141 Loss_G: 0.032395 Loss_D_real: -0.033843 Loss_D_fake -0.004702
[356/5000][60/535][36441] Loss_D: -0.030638 Loss_G: 0.034975 Loss_D_real: -0.035856 Loss_D_fake -0.005218
[356/5000][65/535][36442] Loss_D: -0.030705 Loss_G: 0.012310 Loss_D_real: -0.015322 Loss_D_fake 0.015383
[356/5000][70/535][36443] Loss_D: -0.030414 Loss_G: 0.007484 Loss_D_real: -0.006776 Loss_D_fake 0.023638
[356/5000][75/535][36444] Loss_D: -0.030687 Loss_G: 0.013467 Loss_D_real: -0.015162 Loss_D_fake 0.015525
[356/5000][80/535][36445] Loss_D: -0.030334 Loss_G: 0.025418 Loss_D_real: -0.018370 Loss_D_fake 0.011963
[356/5000][85/535][36446] Loss_D: -0.027838 Loss_G: 0.035287 Loss_D_real: -0.029734 Loss_D_fake -0.001895
[356/5000][90/535][36447] Loss_D: -0.030148 Loss_G: -0.011612 Loss_D_real: 0.004160 Loss_D_fake 0.034307
[356/5000][95/535][36448] Loss_D: -0.029240 Loss_G: 0.025938 Loss_D_real: -0.028263 Loss_D_fake 0.000976
[356/5000][100/535][36449] Loss_D: -0.029253 Loss_G: 0.033045 Loss_D_real: -0.039547 Loss_D_fake -0.010294
[356/5000][105/535][36450] Loss_D: -0.031138 Loss_G: 0.011658 Loss_D_real: -0.012851 Loss_D_fake 0.018286
[356/5000][110/535][36451] Loss_D: -0.030066 Loss_G: 0.031710 Loss_D_real: -0.025906 Loss_D_fake 0.004160
[356/5000][115/535][36452] Loss_D: -0.030780 Loss_G: 0.002787 Loss_D_real: -0.006010 Loss_D_fake 0.024770
[356/5000][120/535][36453] Loss_D: -0.031186 Loss_G: 0.027820 Loss_D_real: -0.032380 Loss_D_fake -0.001194
[356/5000][125/535][36454] Loss_D: -0.029466 Loss_G: 0.030304 Loss_D_real: -0.033562 Loss_D_fake -0.004097
[356/5000][130/535][36455] Loss_D: -0.031451 Loss_G: 0.026128 Loss_D_real: -0.027404 Loss_D_fake 0.004047
[356/5000][135/535][36456] Loss_D: -0.030880 Loss_G: 0.032008 Loss_D_real: -0.027472 Loss_D_fake 0.003407
[356/5000][140/535][36457] Loss_D: -0.029147 Loss_G: 0.011284 Loss_D_real: -0.021241 Loss_D_fake 0.007906
[356/5000][145/535][36458] Loss_D: -0.030731 Loss_G: 0.021183 Loss_D_real: -0.024511 Loss_D_fake 0.006220
[356/5000][150/535][36459] Loss_D: -0.030810 Loss_G: 0.006296 Loss_D_real: -0.015373 Loss_D_fake 0.015437
[356/5000][155/535][36460] Loss_D: -0.030111 Loss_G: 0.003615 Loss_D_real: -0.014900 Loss_D_fake 0.015211
[356/5000][160/535][36461] Loss_D: -0.028996 Loss_G: 0.020238 Loss_D_real: -0.009197 Loss_D_fake 0.019799
[356/5000][165/535][36462] Loss_D: -0.029392 Loss_G: 0.040224 Loss_D_real: -0.023583 Loss_D_fake 0.005809
[356/5000][170/535][36463] Loss_D: -0.028689 Loss_G: 0.006604 Loss_D_real: -0.011408 Loss_D_fake 0.017281
[356/5000][175/535][36464] Loss_D: -0.029577 Loss_G: 0.029479 Loss_D_real: -0.035137 Loss_D_fake -0.005560
[356/5000][180/535][36465] Loss_D: -0.030718 Loss_G: 0.023538 Loss_D_real: -0.024957 Loss_D_fake 0.005761
[356/5000][185/535][36466] Loss_D: -0.029219 Loss_G: 0.017378 Loss_D_real: -0.017705 Loss_D_fake 0.011513
[356/5000][190/535][36467] Loss_D: -0.029973 Loss_G: 0.028660 Loss_D_real: -0.026645 Loss_D_fake 0.003328
[356/5000][195/535][36468] Loss_D: -0.029707 Loss_G: -0.002881 Loss_D_real: -0.002622 Loss_D_fake 0.027085
[356/5000][200/535][36469] Loss_D: -0.031275 Loss_G: 0.032404 Loss_D_real: -0.030197 Loss_D_fake 0.001078
[356/5000][205/535][36470] Loss_D: -0.030890 Loss_G: 0.001175 Loss_D_real: -0.004732 Loss_D_fake 0.026158
[356/5000][210/535][36471] Loss_D: -0.029948 Loss_G: 0.019424 Loss_D_real: -0.016879 Loss_D_fake 0.013069
[356/5000][215/535][36472] Loss_D: -0.030281 Loss_G: 0.017255 Loss_D_real: -0.022149 Loss_D_fake 0.008132
[356/5000][220/535][36473] Loss_D: -0.031334 Loss_G: 0.022529 Loss_D_real: -0.024010 Loss_D_fake 0.007324
[356/5000][225/535][36474] Loss_D: -0.032479 Loss_G: 0.017177 Loss_D_real: -0.014510 Loss_D_fake 0.017969
[356/5000][230/535][36475] Loss_D: -0.030408 Loss_G: 0.013183 Loss_D_real: -0.026939 Loss_D_fake 0.003470
[356/5000][235/535][36476] Loss_D: -0.031180 Loss_G: 0.013289 Loss_D_real: -0.016697 Loss_D_fake 0.014483
[356/5000][240/535][36477] Loss_D: -0.030948 Loss_G: 0.005179 Loss_D_real: -0.007736 Loss_D_fake 0.023212
[356/5000][245/535][36478] Loss_D: -0.030308 Loss_G: 0.027487 Loss_D_real: -0.020243 Loss_D_fake 0.010065
[356/5000][250/535][36479] Loss_D: -0.029243 Loss_G: -0.012337 Loss_D_real: 0.005043 Loss_D_fake 0.034286
[356/5000][255/535][36480] Loss_D: -0.028943 Loss_G: 0.026807 Loss_D_real: -0.030979 Loss_D_fake -0.002037
[356/5000][260/535][36481] Loss_D: -0.029394 Loss_G: 0.030323 Loss_D_real: -0.031973 Loss_D_fake -0.002579
[356/5000][265/535][36482] Loss_D: -0.030954 Loss_G: 0.017239 Loss_D_real: -0.020527 Loss_D_fake 0.010426
[356/5000][270/535][36483] Loss_D: -0.031533 Loss_G: 0.029898 Loss_D_real: -0.031213 Loss_D_fake 0.000320
[356/5000][275/535][36484] Loss_D: -0.031487 Loss_G: -0.001297 Loss_D_real: -0.019460 Loss_D_fake 0.012027
[356/5000][280/535][36485] Loss_D: -0.030020 Loss_G: 0.024392 Loss_D_real: -0.028948 Loss_D_fake 0.001071
[356/5000][285/535][36486] Loss_D: -0.031458 Loss_G: 0.030567 Loss_D_real: -0.026262 Loss_D_fake 0.005196
[356/5000][290/535][36487] Loss_D: -0.029471 Loss_G: 0.023562 Loss_D_real: -0.023393 Loss_D_fake 0.006078
[356/5000][295/535][36488] Loss_D: -0.029448 Loss_G: 0.016495 Loss_D_real: -0.022302 Loss_D_fake 0.007146
[356/5000][300/535][36489] Loss_D: -0.027244 Loss_G: -0.020250 Loss_D_real: 0.001782 Loss_D_fake 0.029025
[356/5000][305/535][36490] Loss_D: -0.029204 Loss_G: 0.017300 Loss_D_real: -0.015288 Loss_D_fake 0.013916
[356/5000][310/535][36491] Loss_D: -0.029078 Loss_G: -0.010947 Loss_D_real: 0.002427 Loss_D_fake 0.031505
[356/5000][315/535][36492] Loss_D: -0.029080 Loss_G: 0.040482 Loss_D_real: -0.036835 Loss_D_fake -0.007755
[356/5000][320/535][36493] Loss_D: -0.028971 Loss_G: 0.012829 Loss_D_real: -0.014264 Loss_D_fake 0.014706
[356/5000][325/535][36494] Loss_D: -0.029990 Loss_G: 0.027025 Loss_D_real: -0.024579 Loss_D_fake 0.005412
[356/5000][330/535][36495] Loss_D: -0.030838 Loss_G: 0.009813 Loss_D_real: -0.017839 Loss_D_fake 0.012998
[356/5000][335/535][36496] Loss_D: -0.030550 Loss_G: 0.032384 Loss_D_real: -0.033839 Loss_D_fake -0.003289
[356/5000][340/535][36497] Loss_D: -0.031010 Loss_G: 0.008235 Loss_D_real: -0.017531 Loss_D_fake 0.013478
[356/5000][345/535][36498] Loss_D: -0.029159 Loss_G: 0.034552 Loss_D_real: -0.036556 Loss_D_fake -0.007398
[356/5000][350/535][36499] Loss_D: -0.030217 Loss_G: 0.008711 Loss_D_real: -0.019931 Loss_D_fake 0.010286
[356/5000][355/535][36500] Loss_D: -0.030811 Loss_G: 0.008861 Loss_D_real: -0.020166 Loss_D_fake 0.010645
[356/5000][455/535][36501] Loss_D: -0.032254 Loss_G: 0.040809 Loss_D_real: -0.037544 Loss_D_fake -0.005289
[356/5000][460/535][36502] Loss_D: -0.028197 Loss_G: 0.040656 Loss_D_real: -0.024928 Loss_D_fake 0.003269
[356/5000][465/535][36503] Loss_D: -0.027532 Loss_G: 0.012653 Loss_D_real: -0.015183 Loss_D_fake 0.012349
[356/5000][470/535][36504] Loss_D: -0.028142 Loss_G: 0.001462 Loss_D_real: -0.015072 Loss_D_fake 0.013070
[356/5000][475/535][36505] Loss_D: -0.028152 Loss_G: 0.008547 Loss_D_real: -0.025909 Loss_D_fake 0.002243
[356/5000][480/535][36506] Loss_D: -0.028119 Loss_G: 0.015852 Loss_D_real: -0.020217 Loss_D_fake 0.007902
[356/5000][485/535][36507] Loss_D: -0.031305 Loss_G: 0.022860 Loss_D_real: -0.020841 Loss_D_fake 0.010464
[356/5000][490/535][36508] Loss_D: -0.029014 Loss_G: 0.009382 Loss_D_real: -0.019055 Loss_D_fake 0.009959
[356/5000][495/535][36509] Loss_D: -0.029870 Loss_G: 0.029910 Loss_D_real: -0.024794 Loss_D_fake 0.005076
[356/5000][500/535][36510] Loss_D: -0.030957 Loss_G: 0.002004 Loss_D_real: -0.008030 Loss_D_fake 0.022927
[356/5000][505/535][36511] Loss_D: -0.027338 Loss_G: 0.032613 Loss_D_real: -0.026313 Loss_D_fake 0.001024
[356/5000][510/535][36512] Loss_D: -0.031170 Loss_G: 0.028307 Loss_D_real: -0.028417 Loss_D_fake 0.002754
[356/5000][515/535][36513] Loss_D: -0.030435 Loss_G: 0.026790 Loss_D_real: -0.028148 Loss_D_fake 0.002287
[356/5000][520/535][36514] Loss_D: -0.030157 Loss_G: 0.020695 Loss_D_real: -0.021660 Loss_D_fake 0.008497
[356/5000][525/535][36515] Loss_D: -0.030266 Loss_G: 0.004723 Loss_D_real: -0.008852 Loss_D_fake 0.021414
[356/5000][530/535][36516] Loss_D: -0.029459 Loss_G: 0.036398 Loss_D_real: -0.032170 Loss_D_fake -0.002710
[356/5000][535/535][36517] Loss_D: -0.029780 Loss_G: 0.021206 Loss_D_real: -0.002637 Loss_D_fake 0.027143
[357/5000][5/535][36518] Loss_D: -0.031209 Loss_G: 0.007628 Loss_D_real: -0.025825 Loss_D_fake 0.005384
[357/5000][10/535][36519] Loss_D: -0.029473 Loss_G: 0.028204 Loss_D_real: -0.019844 Loss_D_fake 0.009629
[357/5000][15/535][36520] Loss_D: -0.030642 Loss_G: 0.009490 Loss_D_real: -0.010626 Loss_D_fake 0.020016
[357/5000][20/535][36521] Loss_D: -0.030420 Loss_G: 0.029902 Loss_D_real: -0.026619 Loss_D_fake 0.003801
[357/5000][25/535][36522] Loss_D: -0.028609 Loss_G: 0.038591 Loss_D_real: -0.039231 Loss_D_fake -0.010622
[357/5000][30/535][36523] Loss_D: -0.029802 Loss_G: 0.019141 Loss_D_real: -0.028041 Loss_D_fake 0.001761
[357/5000][35/535][36524] Loss_D: -0.030221 Loss_G: 0.014041 Loss_D_real: -0.010894 Loss_D_fake 0.019327
[357/5000][40/535][36525] Loss_D: -0.030491 Loss_G: 0.026173 Loss_D_real: -0.025589 Loss_D_fake 0.004901
[357/5000][45/535][36526] Loss_D: -0.029073 Loss_G: 0.024225 Loss_D_real: -0.024112 Loss_D_fake 0.004961
[357/5000][50/535][36527] Loss_D: -0.031561 Loss_G: 0.001996 Loss_D_real: -0.014345 Loss_D_fake 0.017217
[357/5000][55/535][36528] Loss_D: -0.030474 Loss_G: 0.003672 Loss_D_real: -0.013332 Loss_D_fake 0.017142
[357/5000][60/535][36529] Loss_D: -0.031444 Loss_G: 0.016990 Loss_D_real: -0.016179 Loss_D_fake 0.015265
[357/5000][65/535][36530] Loss_D: -0.028988 Loss_G: 0.022258 Loss_D_real: -0.021604 Loss_D_fake 0.007384
[357/5000][70/535][36531] Loss_D: -0.030098 Loss_G: 0.012381 Loss_D_real: -0.020500 Loss_D_fake 0.009598
[357/5000][75/535][36532] Loss_D: -0.030944 Loss_G: 0.027214 Loss_D_real: -0.025392 Loss_D_fake 0.005552
[357/5000][80/535][36533] Loss_D: -0.029654 Loss_G: -0.007604 Loss_D_real: 0.004934 Loss_D_fake 0.034588
[357/5000][85/535][36534] Loss_D: -0.029317 Loss_G: 0.033711 Loss_D_real: -0.030824 Loss_D_fake -0.001507
[357/5000][90/535][36535] Loss_D: -0.028615 Loss_G: 0.006586 Loss_D_real: -0.009124 Loss_D_fake 0.019491
[357/5000][95/535][36536] Loss_D: -0.031106 Loss_G: 0.008495 Loss_D_real: -0.009587 Loss_D_fake 0.021520
[357/5000][100/535][36537] Loss_D: -0.029081 Loss_G: 0.000839 Loss_D_real: -0.003396 Loss_D_fake 0.025685
[357/5000][105/535][36538] Loss_D: -0.030497 Loss_G: 0.010506 Loss_D_real: -0.007974 Loss_D_fake 0.022522
[357/5000][110/535][36539] Loss_D: -0.031325 Loss_G: -0.007239 Loss_D_real: -0.013995 Loss_D_fake 0.017330
[357/5000][115/535][36540] Loss_D: -0.030484 Loss_G: 0.020596 Loss_D_real: -0.019393 Loss_D_fake 0.011092
[357/5000][120/535][36541] Loss_D: -0.029223 Loss_G: 0.037227 Loss_D_real: -0.033942 Loss_D_fake -0.004719
[357/5000][125/535][36542] Loss_D: -0.030476 Loss_G: 0.001968 Loss_D_real: -0.011887 Loss_D_fake 0.018590
[357/5000][130/535][36543] Loss_D: -0.028766 Loss_G: 0.008014 Loss_D_real: -0.005642 Loss_D_fake 0.023124
[357/5000][135/535][36544] Loss_D: -0.029411 Loss_G: 0.014093 Loss_D_real: -0.013796 Loss_D_fake 0.015614
[357/5000][140/535][36545] Loss_D: -0.029695 Loss_G: 0.022628 Loss_D_real: -0.016551 Loss_D_fake 0.013143
[357/5000][145/535][36546] Loss_D: -0.030898 Loss_G: 0.014596 Loss_D_real: -0.025835 Loss_D_fake 0.005063
[357/5000][150/535][36547] Loss_D: -0.030281 Loss_G: 0.019676 Loss_D_real: -0.020917 Loss_D_fake 0.009363
[357/5000][155/535][36548] Loss_D: -0.030457 Loss_G: 0.005459 Loss_D_real: -0.011095 Loss_D_fake 0.019363
[357/5000][160/535][36549] Loss_D: -0.027773 Loss_G: 0.047799 Loss_D_real: -0.039328 Loss_D_fake -0.011555
[357/5000][165/535][36550] Loss_D: -0.029873 Loss_G: 0.017245 Loss_D_real: -0.018819 Loss_D_fake 0.011054
[357/5000][170/535][36551] Loss_D: -0.028892 Loss_G: 0.034063 Loss_D_real: -0.038148 Loss_D_fake -0.009256
[357/5000][175/535][36552] Loss_D: -0.030301 Loss_G: -0.002232 Loss_D_real: -0.008722 Loss_D_fake 0.021579
[357/5000][180/535][36553] Loss_D: -0.030145 Loss_G: 0.014374 Loss_D_real: -0.022806 Loss_D_fake 0.007339
[357/5000][185/535][36554] Loss_D: -0.031111 Loss_G: 0.013393 Loss_D_real: -0.019190 Loss_D_fake 0.011921
[357/5000][190/535][36555] Loss_D: -0.030085 Loss_G: 0.027100 Loss_D_real: -0.020024 Loss_D_fake 0.010060
[357/5000][195/535][36556] Loss_D: -0.030107 Loss_G: 0.019514 Loss_D_real: -0.028884 Loss_D_fake 0.001223
[357/5000][200/535][36557] Loss_D: -0.030299 Loss_G: 0.030248 Loss_D_real: -0.031212 Loss_D_fake -0.000913
[357/5000][205/535][36558] Loss_D: -0.029806 Loss_G: -0.011815 Loss_D_real: 0.001561 Loss_D_fake 0.031366
[357/5000][210/535][36559] Loss_D: -0.029419 Loss_G: 0.035079 Loss_D_real: -0.028390 Loss_D_fake 0.001029
[357/5000][215/535][36560] Loss_D: -0.029720 Loss_G: 0.005802 Loss_D_real: -0.017081 Loss_D_fake 0.012640
[357/5000][220/535][36561] Loss_D: -0.030906 Loss_G: -0.006153 Loss_D_real: -0.009243 Loss_D_fake 0.021663
[357/5000][225/535][36562] Loss_D: -0.030065 Loss_G: 0.008044 Loss_D_real: -0.020047 Loss_D_fake 0.010018
[357/5000][230/535][36563] Loss_D: -0.028241 Loss_G: 0.047084 Loss_D_real: -0.040585 Loss_D_fake -0.012344
[357/5000][235/535][36564] Loss_D: -0.030377 Loss_G: 0.010678 Loss_D_real: -0.018741 Loss_D_fake 0.011636
[357/5000][240/535][36565] Loss_D: -0.030079 Loss_G: -0.002176 Loss_D_real: -0.011972 Loss_D_fake 0.018107
[357/5000][245/535][36566] Loss_D: -0.029116 Loss_G: 0.002853 Loss_D_real: -0.017522 Loss_D_fake 0.011594
[357/5000][250/535][36567] Loss_D: -0.030472 Loss_G: 0.011320 Loss_D_real: -0.013157 Loss_D_fake 0.017315
[357/5000][255/535][36568] Loss_D: -0.029067 Loss_G: 0.021304 Loss_D_real: -0.019382 Loss_D_fake 0.009685
[357/5000][260/535][36569] Loss_D: -0.030511 Loss_G: 0.000412 Loss_D_real: -0.002447 Loss_D_fake 0.028064
[357/5000][265/535][36570] Loss_D: -0.028243 Loss_G: 0.037554 Loss_D_real: -0.037663 Loss_D_fake -0.009420
[357/5000][270/535][36571] Loss_D: -0.030104 Loss_G: 0.003752 Loss_D_real: -0.013605 Loss_D_fake 0.016499
[357/5000][275/535][36572] Loss_D: -0.030469 Loss_G: 0.028134 Loss_D_real: -0.022330 Loss_D_fake 0.008139
[357/5000][280/535][36573] Loss_D: -0.030854 Loss_G: 0.034407 Loss_D_real: -0.035913 Loss_D_fake -0.005059
[357/5000][285/535][36574] Loss_D: -0.030498 Loss_G: 0.021258 Loss_D_real: -0.027613 Loss_D_fake 0.002886
[357/5000][290/535][36575] Loss_D: -0.028970 Loss_G: 0.039527 Loss_D_real: -0.037504 Loss_D_fake -0.008534
[357/5000][295/535][36576] Loss_D: -0.030020 Loss_G: 0.006347 Loss_D_real: -0.013934 Loss_D_fake 0.016086
[357/5000][300/535][36577] Loss_D: -0.031231 Loss_G: 0.012225 Loss_D_real: -0.017008 Loss_D_fake 0.014222
[357/5000][305/535][36578] Loss_D: -0.030709 Loss_G: 0.012952 Loss_D_real: -0.015703 Loss_D_fake 0.015006
[357/5000][310/535][36579] Loss_D: -0.030773 Loss_G: 0.011024 Loss_D_real: -0.016741 Loss_D_fake 0.014032
[357/5000][315/535][36580] Loss_D: -0.029299 Loss_G: 0.032545 Loss_D_real: -0.029026 Loss_D_fake 0.000273
[357/5000][320/535][36581] Loss_D: -0.027800 Loss_G: -0.012710 Loss_D_real: 0.001489 Loss_D_fake 0.029288
[357/5000][325/535][36582] Loss_D: -0.029472 Loss_G: 0.015627 Loss_D_real: -0.024385 Loss_D_fake 0.005088
[357/5000][330/535][36583] Loss_D: -0.031925 Loss_G: 0.021193 Loss_D_real: -0.026330 Loss_D_fake 0.005595
[357/5000][335/535][36584] Loss_D: -0.029589 Loss_G: -0.011745 Loss_D_real: -0.006063 Loss_D_fake 0.023527
[357/5000][340/535][36585] Loss_D: -0.030430 Loss_G: 0.029827 Loss_D_real: -0.034466 Loss_D_fake -0.004036
[357/5000][345/535][36586] Loss_D: -0.031260 Loss_G: 0.033709 Loss_D_real: -0.026791 Loss_D_fake 0.004469
[357/5000][350/535][36587] Loss_D: -0.031794 Loss_G: 0.024837 Loss_D_real: -0.022549 Loss_D_fake 0.009245
[357/5000][355/535][36588] Loss_D: -0.029455 Loss_G: 0.029302 Loss_D_real: -0.033495 Loss_D_fake -0.004040
[357/5000][360/535][36589] Loss_D: -0.030971 Loss_G: 0.005437 Loss_D_real: -0.005980 Loss_D_fake 0.024991
[357/5000][365/535][36590] Loss_D: -0.030518 Loss_G: 0.021795 Loss_D_real: -0.018746 Loss_D_fake 0.011772
[357/5000][370/535][36591] Loss_D: -0.029303 Loss_G: 0.010549 Loss_D_real: -0.013621 Loss_D_fake 0.015682
[357/5000][375/535][36592] Loss_D: -0.031834 Loss_G: 0.026083 Loss_D_real: -0.028876 Loss_D_fake 0.002959
[357/5000][380/535][36593] Loss_D: -0.032697 Loss_G: 0.016252 Loss_D_real: -0.025081 Loss_D_fake 0.007616
[357/5000][385/535][36594] Loss_D: -0.030613 Loss_G: 0.011862 Loss_D_real: -0.019540 Loss_D_fake 0.011073
[357/5000][390/535][36595] Loss_D: -0.031060 Loss_G: 0.011642 Loss_D_real: -0.010413 Loss_D_fake 0.020647
[357/5000][395/535][36596] Loss_D: -0.029635 Loss_G: 0.036176 Loss_D_real: -0.037869 Loss_D_fake -0.008233
[357/5000][400/535][36597] Loss_D: -0.029756 Loss_G: 0.011076 Loss_D_real: -0.010465 Loss_D_fake 0.019291
[357/5000][405/535][36598] Loss_D: -0.030170 Loss_G: 0.025461 Loss_D_real: -0.031061 Loss_D_fake -0.000891
[357/5000][410/535][36599] Loss_D: -0.029166 Loss_G: 0.003004 Loss_D_real: -0.008824 Loss_D_fake 0.020342
[357/5000][415/535][36600] Loss_D: -0.029099 Loss_G: 0.025392 Loss_D_real: -0.025169 Loss_D_fake 0.003931
[357/5000][420/535][36601] Loss_D: -0.029884 Loss_G: 0.031757 Loss_D_real: -0.029782 Loss_D_fake 0.000101
[357/5000][425/535][36602] Loss_D: -0.031073 Loss_G: 0.007899 Loss_D_real: -0.022092 Loss_D_fake 0.008982
[357/5000][430/535][36603] Loss_D: -0.029782 Loss_G: 0.031160 Loss_D_real: -0.025141 Loss_D_fake 0.004642
[357/5000][435/535][36604] Loss_D: -0.030612 Loss_G: 0.001619 Loss_D_real: -0.022015 Loss_D_fake 0.008596
[357/5000][440/535][36605] Loss_D: -0.030672 Loss_G: 0.018801 Loss_D_real: -0.021598 Loss_D_fake 0.009073
[357/5000][445/535][36606] Loss_D: -0.030238 Loss_G: -0.002894 Loss_D_real: -0.006827 Loss_D_fake 0.023411
[357/5000][450/535][36607] Loss_D: -0.028541 Loss_G: 0.034482 Loss_D_real: -0.038068 Loss_D_fake -0.009528
[357/5000][455/535][36608] Loss_D: -0.030934 Loss_G: 0.021232 Loss_D_real: -0.023930 Loss_D_fake 0.007004
[357/5000][460/535][36609] Loss_D: -0.030689 Loss_G: 0.006762 Loss_D_real: -0.027453 Loss_D_fake 0.003236
[357/5000][465/535][36610] Loss_D: -0.030119 Loss_G: 0.027815 Loss_D_real: -0.026729 Loss_D_fake 0.003389
[357/5000][470/535][36611] Loss_D: -0.029663 Loss_G: 0.021408 Loss_D_real: -0.023442 Loss_D_fake 0.006220
[357/5000][475/535][36612] Loss_D: -0.031905 Loss_G: 0.014053 Loss_D_real: -0.028940 Loss_D_fake 0.002965
[357/5000][480/535][36613] Loss_D: -0.032245 Loss_G: 0.021376 Loss_D_real: -0.023977 Loss_D_fake 0.008268
[357/5000][485/535][36614] Loss_D: -0.031594 Loss_G: 0.018861 Loss_D_real: -0.021808 Loss_D_fake 0.009786
[357/5000][490/535][36615] Loss_D: -0.030024 Loss_G: 0.002382 Loss_D_real: -0.019780 Loss_D_fake 0.010244
[357/5000][495/535][36616] Loss_D: -0.031556 Loss_G: 0.015796 Loss_D_real: -0.023594 Loss_D_fake 0.007961
[357/5000][500/535][36617] Loss_D: -0.029291 Loss_G: 0.035307 Loss_D_real: -0.036364 Loss_D_fake -0.007072
[357/5000][505/535][36618] Loss_D: -0.029138 Loss_G: -0.003826 Loss_D_real: -0.006360 Loss_D_fake 0.022778
[357/5000][510/535][36619] Loss_D: -0.029297 Loss_G: 0.025746 Loss_D_real: -0.020147 Loss_D_fake 0.009150
[357/5000][515/535][36620] Loss_D: -0.029106 Loss_G: 0.005769 Loss_D_real: -0.022556 Loss_D_fake 0.006550
[357/5000][520/535][36621] Loss_D: -0.029506 Loss_G: 0.011528 Loss_D_real: -0.029036 Loss_D_fake 0.000470
[357/5000][525/535][36622] Loss_D: -0.030429 Loss_G: 0.008529 Loss_D_real: -0.010820 Loss_D_fake 0.019609
[357/5000][530/535][36623] Loss_D: -0.031743 Loss_G: 0.017719 Loss_D_real: -0.018147 Loss_D_fake 0.013596
[357/5000][535/535][36624] Loss_D: -0.031959 Loss_G: 0.039838 Loss_D_real: -0.034000 Loss_D_fake -0.002041
[358/5000][5/535][36625] Loss_D: -0.030385 Loss_G: 0.002467 Loss_D_real: -0.005288 Loss_D_fake 0.025096
[358/5000][10/535][36626] Loss_D: -0.029406 Loss_G: 0.028937 Loss_D_real: -0.026166 Loss_D_fake 0.003240
[358/5000][15/535][36627] Loss_D: -0.028951 Loss_G: 0.014267 Loss_D_real: -0.026564 Loss_D_fake 0.002388
[358/5000][20/535][36628] Loss_D: -0.030129 Loss_G: 0.039332 Loss_D_real: -0.033579 Loss_D_fake -0.003450
[358/5000][25/535][36629] Loss_D: -0.028968 Loss_G: 0.004554 Loss_D_real: -0.004967 Loss_D_fake 0.024001
[358/5000][30/535][36630] Loss_D: -0.030582 Loss_G: 0.006641 Loss_D_real: -0.019487 Loss_D_fake 0.011094
[358/5000][35/535][36631] Loss_D: -0.028364 Loss_G: 0.045563 Loss_D_real: -0.039766 Loss_D_fake -0.011402
[358/5000][40/535][36632] Loss_D: -0.031571 Loss_G: 0.015298 Loss_D_real: -0.021971 Loss_D_fake 0.009600
[358/5000][45/535][36633] Loss_D: -0.030811 Loss_G: 0.027199 Loss_D_real: -0.024814 Loss_D_fake 0.005996
[358/5000][50/535][36634] Loss_D: -0.031412 Loss_G: 0.026171 Loss_D_real: -0.023587 Loss_D_fake 0.007825
[358/5000][55/535][36635] Loss_D: -0.029323 Loss_G: -0.012368 Loss_D_real: -0.000240 Loss_D_fake 0.029084
[358/5000][60/535][36636] Loss_D: -0.030345 Loss_G: 0.016674 Loss_D_real: -0.021883 Loss_D_fake 0.008463
[358/5000][65/535][36637] Loss_D: -0.028503 Loss_G: -0.002559 Loss_D_real: 0.000237 Loss_D_fake 0.028740
[358/5000][70/535][36638] Loss_D: -0.030904 Loss_G: 0.003618 Loss_D_real: -0.026202 Loss_D_fake 0.004703
[358/5000][75/535][36639] Loss_D: -0.028346 Loss_G: 0.004874 Loss_D_real: -0.013685 Loss_D_fake 0.014661
[358/5000][80/535][36640] Loss_D: -0.030729 Loss_G: 0.014889 Loss_D_real: -0.019311 Loss_D_fake 0.011417
[358/5000][85/535][36641] Loss_D: -0.030583 Loss_G: 0.025165 Loss_D_real: -0.029490 Loss_D_fake 0.001093
[358/5000][90/535][36642] Loss_D: -0.029915 Loss_G: 0.027907 Loss_D_real: -0.039662 Loss_D_fake -0.009747
[358/5000][95/535][36643] Loss_D: -0.032140 Loss_G: 0.004919 Loss_D_real: -0.016807 Loss_D_fake 0.015333
[358/5000][100/535][36644] Loss_D: -0.031294 Loss_G: 0.015271 Loss_D_real: -0.028509 Loss_D_fake 0.002785
[358/5000][105/535][36645] Loss_D: -0.030329 Loss_G: 0.021169 Loss_D_real: -0.019596 Loss_D_fake 0.010733
[358/5000][110/535][36646] Loss_D: -0.030136 Loss_G: 0.040312 Loss_D_real: -0.033693 Loss_D_fake -0.003558
[358/5000][115/535][36647] Loss_D: -0.030487 Loss_G: -0.005309 Loss_D_real: -0.011058 Loss_D_fake 0.019429
[358/5000][120/535][36648] Loss_D: -0.028865 Loss_G: 0.018433 Loss_D_real: -0.027108 Loss_D_fake 0.001756
[358/5000][125/535][36649] Loss_D: -0.029645 Loss_G: 0.008452 Loss_D_real: -0.012813 Loss_D_fake 0.016832
[358/5000][130/535][36650] Loss_D: -0.029855 Loss_G: 0.032107 Loss_D_real: -0.024692 Loss_D_fake 0.005163
[358/5000][135/535][36651] Loss_D: -0.030731 Loss_G: 0.003189 Loss_D_real: -0.010844 Loss_D_fake 0.019887
[358/5000][140/535][36652] Loss_D: -0.029377 Loss_G: -0.003736 Loss_D_real: -0.005118 Loss_D_fake 0.024259
[358/5000][145/535][36653] Loss_D: -0.028503 Loss_G: 0.012900 Loss_D_real: -0.011645 Loss_D_fake 0.016858
[358/5000][150/535][36654] Loss_D: -0.030940 Loss_G: 0.005742 Loss_D_real: -0.014081 Loss_D_fake 0.016860
[358/5000][155/535][36655] Loss_D: -0.029703 Loss_G: 0.034761 Loss_D_real: -0.030782 Loss_D_fake -0.001079
[358/5000][160/535][36656] Loss_D: -0.028669 Loss_G: 0.006666 Loss_D_real: -0.017957 Loss_D_fake 0.010711
[358/5000][165/535][36657] Loss_D: -0.029000 Loss_G: 0.023901 Loss_D_real: -0.020878 Loss_D_fake 0.008122
[358/5000][170/535][36658] Loss_D: -0.031245 Loss_G: 0.017378 Loss_D_real: -0.021644 Loss_D_fake 0.009601
[358/5000][175/535][36659] Loss_D: -0.029843 Loss_G: 0.022764 Loss_D_real: -0.024591 Loss_D_fake 0.005252
[358/5000][180/535][36660] Loss_D: -0.030572 Loss_G: 0.001057 Loss_D_real: -0.009967 Loss_D_fake 0.020605
[358/5000][185/535][36661] Loss_D: -0.030223 Loss_G: 0.038090 Loss_D_real: -0.029762 Loss_D_fake 0.000461
[358/5000][190/535][36662] Loss_D: -0.029688 Loss_G: -0.004943 Loss_D_real: -0.008113 Loss_D_fake 0.021575
[358/5000][195/535][36663] Loss_D: -0.029953 Loss_G: 0.032946 Loss_D_real: -0.026085 Loss_D_fake 0.003867
[358/5000][200/535][36664] Loss_D: -0.029652 Loss_G: -0.014567 Loss_D_real: 0.011128 Loss_D_fake 0.040780
[358/5000][205/535][36665] Loss_D: -0.029018 Loss_G: -0.001932 Loss_D_real: -0.009446 Loss_D_fake 0.019572
[358/5000][210/535][36666] Loss_D: -0.030739 Loss_G: 0.023226 Loss_D_real: -0.021906 Loss_D_fake 0.008832
[358/5000][215/535][36667] Loss_D: -0.030474 Loss_G: -0.012652 Loss_D_real: -0.005968 Loss_D_fake 0.024506
[358/5000][220/535][36668] Loss_D: -0.029478 Loss_G: 0.031238 Loss_D_real: -0.037484 Loss_D_fake -0.008006
[358/5000][225/535][36669] Loss_D: -0.031560 Loss_G: 0.006392 Loss_D_real: -0.016300 Loss_D_fake 0.015260
[358/5000][230/535][36670] Loss_D: -0.030987 Loss_G: 0.035592 Loss_D_real: -0.031887 Loss_D_fake -0.000900
[358/5000][235/535][36671] Loss_D: -0.030091 Loss_G: 0.005948 Loss_D_real: -0.012971 Loss_D_fake 0.017121
[358/5000][240/535][36672] Loss_D: -0.030723 Loss_G: 0.019360 Loss_D_real: -0.017507 Loss_D_fake 0.013216
[358/5000][245/535][36673] Loss_D: -0.030727 Loss_G: 0.035132 Loss_D_real: -0.029204 Loss_D_fake 0.001522
[358/5000][250/535][36674] Loss_D: -0.030286 Loss_G: 0.020562 Loss_D_real: -0.022959 Loss_D_fake 0.007327
[358/5000][255/535][36675] Loss_D: -0.028523 Loss_G: -0.011056 Loss_D_real: 0.003710 Loss_D_fake 0.032232
[358/5000][260/535][36676] Loss_D: -0.030743 Loss_G: 0.005856 Loss_D_real: -0.018699 Loss_D_fake 0.012044
[358/5000][265/535][36677] Loss_D: -0.028625 Loss_G: 0.037082 Loss_D_real: -0.038335 Loss_D_fake -0.009710
[358/5000][270/535][36678] Loss_D: -0.031439 Loss_G: 0.021563 Loss_D_real: -0.028657 Loss_D_fake 0.002782
[358/5000][275/535][36679] Loss_D: -0.032277 Loss_G: 0.029559 Loss_D_real: -0.024714 Loss_D_fake 0.007563
[358/5000][280/535][36680] Loss_D: -0.029378 Loss_G: -0.007788 Loss_D_real: -0.006507 Loss_D_fake 0.022871
[358/5000][285/535][36681] Loss_D: -0.027279 Loss_G: 0.028957 Loss_D_real: -0.038455 Loss_D_fake -0.011176
[358/5000][290/535][36682] Loss_D: -0.030428 Loss_G: 0.010764 Loss_D_real: -0.018661 Loss_D_fake 0.011767
[358/5000][295/535][36683] Loss_D: -0.029063 Loss_G: 0.004518 Loss_D_real: -0.009621 Loss_D_fake 0.019443
[358/5000][300/535][36684] Loss_D: -0.030466 Loss_G: 0.007620 Loss_D_real: -0.010243 Loss_D_fake 0.020223
[358/5000][305/535][36685] Loss_D: -0.030194 Loss_G: 0.003095 Loss_D_real: -0.015028 Loss_D_fake 0.015166
[358/5000][310/535][36686] Loss_D: -0.029860 Loss_G: 0.016517 Loss_D_real: -0.025225 Loss_D_fake 0.004635
[358/5000][315/535][36687] Loss_D: -0.031377 Loss_G: 0.021673 Loss_D_real: -0.028351 Loss_D_fake 0.003026
[358/5000][320/535][36688] Loss_D: -0.030962 Loss_G: 0.020277 Loss_D_real: -0.020137 Loss_D_fake 0.010826
[358/5000][325/535][36689] Loss_D: -0.029731 Loss_G: 0.026411 Loss_D_real: -0.012214 Loss_D_fake 0.017517
[358/5000][330/535][36690] Loss_D: -0.029607 Loss_G: 0.018686 Loss_D_real: -0.023772 Loss_D_fake 0.005836
[358/5000][335/535][36691] Loss_D: -0.029083 Loss_G: 0.021771 Loss_D_real: -0.027948 Loss_D_fake 0.001134
[358/5000][340/535][36692] Loss_D: -0.030467 Loss_G: 0.001099 Loss_D_real: -0.000170 Loss_D_fake 0.030296
[358/5000][345/535][36693] Loss_D: -0.030051 Loss_G: -0.002501 Loss_D_real: -0.010825 Loss_D_fake 0.019226
[358/5000][350/535][36694] Loss_D: -0.030193 Loss_G: 0.026626 Loss_D_real: -0.016234 Loss_D_fake 0.013959
[358/5000][355/535][36695] Loss_D: -0.030002 Loss_G: -0.002147 Loss_D_real: -0.006534 Loss_D_fake 0.023468
[358/5000][360/535][36696] Loss_D: -0.029092 Loss_G: 0.033733 Loss_D_real: -0.034458 Loss_D_fake -0.005366
[358/5000][365/535][36697] Loss_D: -0.029582 Loss_G: 0.023423 Loss_D_real: -0.025942 Loss_D_fake 0.003640
[358/5000][370/535][36698] Loss_D: -0.029930 Loss_G: 0.007694 Loss_D_real: -0.011255 Loss_D_fake 0.018675
[358/5000][375/535][36699] Loss_D: -0.031104 Loss_G: 0.030513 Loss_D_real: -0.028748 Loss_D_fake 0.002356
[358/5000][380/535][36700] Loss_D: -0.031620 Loss_G: 0.009121 Loss_D_real: -0.013079 Loss_D_fake 0.018541
[358/5000][385/535][36701] Loss_D: -0.030360 Loss_G: 0.008207 Loss_D_real: -0.016303 Loss_D_fake 0.014057
[358/5000][390/535][36702] Loss_D: -0.030411 Loss_G: 0.038750 Loss_D_real: -0.030645 Loss_D_fake -0.000235
[358/5000][395/535][36703] Loss_D: -0.029624 Loss_G: -0.005677 Loss_D_real: 0.000992 Loss_D_fake 0.030616
[358/5000][400/535][36704] Loss_D: -0.029780 Loss_G: 0.027917 Loss_D_real: -0.028712 Loss_D_fake 0.001068
[358/5000][405/535][36705] Loss_D: -0.030678 Loss_G: 0.027135 Loss_D_real: -0.035094 Loss_D_fake -0.004416
[358/5000][410/535][36706] Loss_D: -0.031364 Loss_G: 0.009335 Loss_D_real: -0.014992 Loss_D_fake 0.016372
[358/5000][415/535][36707] Loss_D: -0.031874 Loss_G: 0.031202 Loss_D_real: -0.029979 Loss_D_fake 0.001894
[358/5000][420/535][36708] Loss_D: -0.030744 Loss_G: 0.012091 Loss_D_real: -0.022590 Loss_D_fake 0.008154
[358/5000][425/535][36709] Loss_D: -0.030556 Loss_G: 0.016944 Loss_D_real: -0.025680 Loss_D_fake 0.004876
[358/5000][430/535][36710] Loss_D: -0.030567 Loss_G: 0.014964 Loss_D_real: -0.024677 Loss_D_fake 0.005889
[358/5000][435/535][36711] Loss_D: -0.030709 Loss_G: 0.022190 Loss_D_real: -0.027834 Loss_D_fake 0.002875
[358/5000][440/535][36712] Loss_D: -0.030505 Loss_G: 0.001021 Loss_D_real: -0.008995 Loss_D_fake 0.021510
[358/5000][445/535][36713] Loss_D: -0.029821 Loss_G: 0.018685 Loss_D_real: -0.027187 Loss_D_fake 0.002634
[358/5000][450/535][36714] Loss_D: -0.028456 Loss_G: 0.028681 Loss_D_real: -0.027818 Loss_D_fake 0.000638
[358/5000][455/535][36715] Loss_D: -0.029626 Loss_G: 0.003417 Loss_D_real: 0.003581 Loss_D_fake 0.033207
[358/5000][460/535][36716] Loss_D: -0.030038 Loss_G: 0.023650 Loss_D_real: -0.033239 Loss_D_fake -0.003201
[358/5000][465/535][36717] Loss_D: -0.028951 Loss_G: 0.030232 Loss_D_real: -0.024779 Loss_D_fake 0.004172
[358/5000][470/535][36718] Loss_D: -0.030454 Loss_G: 0.017263 Loss_D_real: -0.024847 Loss_D_fake 0.005607
[358/5000][475/535][36719] Loss_D: -0.029734 Loss_G: 0.000497 Loss_D_real: -0.011654 Loss_D_fake 0.018081
[358/5000][480/535][36720] Loss_D: -0.029698 Loss_G: 0.035302 Loss_D_real: -0.031101 Loss_D_fake -0.001403
[358/5000][485/535][36721] Loss_D: -0.028505 Loss_G: -0.004756 Loss_D_real: 0.003346 Loss_D_fake 0.031851
[358/5000][490/535][36722] Loss_D: -0.027417 Loss_G: 0.037447 Loss_D_real: -0.034838 Loss_D_fake -0.007420
[358/5000][495/535][36723] Loss_D: -0.030183 Loss_G: 0.019178 Loss_D_real: -0.029671 Loss_D_fake 0.000512
[358/5000][500/535][36724] Loss_D: -0.028420 Loss_G: 0.023156 Loss_D_real: -0.015073 Loss_D_fake 0.013348
[358/5000][505/535][36725] Loss_D: -0.029553 Loss_G: 0.022858 Loss_D_real: -0.029934 Loss_D_fake -0.000381
[358/5000][510/535][36726] Loss_D: -0.030920 Loss_G: 0.005092 Loss_D_real: -0.000691 Loss_D_fake 0.030229
[358/5000][515/535][36727] Loss_D: -0.028993 Loss_G: 0.015284 Loss_D_real: -0.018818 Loss_D_fake 0.010175
[358/5000][520/535][36728] Loss_D: -0.029721 Loss_G: 0.013999 Loss_D_real: -0.027462 Loss_D_fake 0.002259
[358/5000][525/535][36729] Loss_D: -0.030133 Loss_G: 0.024760 Loss_D_real: -0.024991 Loss_D_fake 0.005141
[358/5000][530/535][36730] Loss_D: -0.030128 Loss_G: 0.006232 Loss_D_real: -0.013553 Loss_D_fake 0.016574
[358/5000][535/535][36731] Loss_D: -0.027926 Loss_G: 0.043656 Loss_D_real: -0.035980 Loss_D_fake -0.008055
[359/5000][5/535][36732] Loss_D: -0.028434 Loss_G: 0.008961 Loss_D_real: -0.009195 Loss_D_fake 0.019239
[359/5000][10/535][36733] Loss_D: -0.028217 Loss_G: 0.025506 Loss_D_real: -0.026872 Loss_D_fake 0.001345
[359/5000][15/535][36734] Loss_D: -0.029802 Loss_G: 0.018544 Loss_D_real: -0.018462 Loss_D_fake 0.011340
[359/5000][20/535][36735] Loss_D: -0.029523 Loss_G: 0.009642 Loss_D_real: -0.012831 Loss_D_fake 0.016693
[359/5000][25/535][36736] Loss_D: -0.029185 Loss_G: 0.033002 Loss_D_real: -0.032688 Loss_D_fake -0.003503
[359/5000][30/535][36737] Loss_D: -0.031067 Loss_G: 0.026251 Loss_D_real: -0.030799 Loss_D_fake 0.000268
[359/5000][35/535][36738] Loss_D: -0.031051 Loss_G: 0.001227 Loss_D_real: -0.009608 Loss_D_fake 0.021443
[359/5000][40/535][36739] Loss_D: -0.031593 Loss_G: 0.030238 Loss_D_real: -0.032262 Loss_D_fake -0.000669
[359/5000][45/535][36740] Loss_D: -0.030193 Loss_G: -0.007055 Loss_D_real: -0.005032 Loss_D_fake 0.025161
[359/5000][50/535][36741] Loss_D: -0.030189 Loss_G: 0.031350 Loss_D_real: -0.019672 Loss_D_fake 0.010517
[359/5000][55/535][36742] Loss_D: -0.029546 Loss_G: 0.007340 Loss_D_real: -0.013629 Loss_D_fake 0.015917
[359/5000][60/535][36743] Loss_D: -0.028944 Loss_G: 0.012404 Loss_D_real: -0.019998 Loss_D_fake 0.008946
[359/5000][65/535][36744] Loss_D: -0.028829 Loss_G: 0.003667 Loss_D_real: -0.013308 Loss_D_fake 0.015521
[359/5000][70/535][36745] Loss_D: -0.030559 Loss_G: 0.001741 Loss_D_real: -0.011277 Loss_D_fake 0.019283
[359/5000][75/535][36746] Loss_D: -0.030366 Loss_G: 0.008606 Loss_D_real: -0.008020 Loss_D_fake 0.022346
[359/5000][80/535][36747] Loss_D: -0.029145 Loss_G: 0.039562 Loss_D_real: -0.031686 Loss_D_fake -0.002541
[359/5000][85/535][36748] Loss_D: -0.030879 Loss_G: -0.002189 Loss_D_real: -0.006551 Loss_D_fake 0.024327
[359/5000][90/535][36749] Loss_D: -0.030339 Loss_G: 0.016511 Loss_D_real: -0.026071 Loss_D_fake 0.004268
[359/5000][95/535][36750] Loss_D: -0.029301 Loss_G: 0.004044 Loss_D_real: -0.012365 Loss_D_fake 0.016936
[359/5000][100/535][36751] Loss_D: -0.030164 Loss_G: 0.029723 Loss_D_real: -0.027907 Loss_D_fake 0.002257
[359/5000][105/535][36752] Loss_D: -0.031076 Loss_G: 0.003680 Loss_D_real: -0.008905 Loss_D_fake 0.022171
[359/5000][110/535][36753] Loss_D: -0.031313 Loss_G: 0.026832 Loss_D_real: -0.023179 Loss_D_fake 0.008134
[359/5000][115/535][36754] Loss_D: -0.029788 Loss_G: 0.029343 Loss_D_real: -0.027071 Loss_D_fake 0.002717
[359/5000][120/535][36755] Loss_D: -0.031678 Loss_G: 0.017232 Loss_D_real: -0.021403 Loss_D_fake 0.010275
[359/5000][125/535][36756] Loss_D: -0.030911 Loss_G: 0.014963 Loss_D_real: -0.009726 Loss_D_fake 0.021185
[359/5000][130/535][36757] Loss_D: -0.029984 Loss_G: 0.035011 Loss_D_real: -0.027812 Loss_D_fake 0.002171
[359/5000][135/535][36758] Loss_D: -0.030246 Loss_G: 0.018535 Loss_D_real: -0.016447 Loss_D_fake 0.013799
[359/5000][140/535][36759] Loss_D: -0.030807 Loss_G: 0.001549 Loss_D_real: -0.018686 Loss_D_fake 0.012120
[359/5000][145/535][36760] Loss_D: -0.029964 Loss_G: 0.025585 Loss_D_real: -0.023769 Loss_D_fake 0.006195
[359/5000][150/535][36761] Loss_D: -0.030203 Loss_G: 0.004530 Loss_D_real: -0.013701 Loss_D_fake 0.016502
[359/5000][155/535][36762] Loss_D: -0.030114 Loss_G: 0.027234 Loss_D_real: -0.037134 Loss_D_fake -0.007020
[359/5000][160/535][36763] Loss_D: -0.029357 Loss_G: 0.036255 Loss_D_real: -0.041182 Loss_D_fake -0.011825
[359/5000][165/535][36764] Loss_D: -0.031054 Loss_G: -0.004571 Loss_D_real: -0.010379 Loss_D_fake 0.020675
[359/5000][170/535][36765] Loss_D: -0.029650 Loss_G: 0.041729 Loss_D_real: -0.027084 Loss_D_fake 0.002567
[359/5000][175/535][36766] Loss_D: -0.030705 Loss_G: -0.000273 Loss_D_real: -0.005287 Loss_D_fake 0.025417
[359/5000][180/535][36767] Loss_D: -0.030107 Loss_G: 0.022107 Loss_D_real: -0.023375 Loss_D_fake 0.006731
[359/5000][185/535][36768] Loss_D: -0.030208 Loss_G: -0.000480 Loss_D_real: -0.008305 Loss_D_fake 0.021904
[359/5000][190/535][36769] Loss_D: -0.029771 Loss_G: 0.011244 Loss_D_real: -0.016797 Loss_D_fake 0.012975
[359/5000][195/535][36770] Loss_D: -0.030221 Loss_G: 0.004036 Loss_D_real: -0.020945 Loss_D_fake 0.009276
[359/5000][200/535][36771] Loss_D: -0.031138 Loss_G: 0.026196 Loss_D_real: -0.026895 Loss_D_fake 0.004243
[359/5000][205/535][36772] Loss_D: -0.030998 Loss_G: 0.009562 Loss_D_real: -0.016245 Loss_D_fake 0.014754
[359/5000][210/535][36773] Loss_D: -0.029468 Loss_G: 0.004806 Loss_D_real: -0.016758 Loss_D_fake 0.012710
[359/5000][215/535][36774] Loss_D: -0.030135 Loss_G: 0.028919 Loss_D_real: -0.040078 Loss_D_fake -0.009944
[359/5000][220/535][36775] Loss_D: -0.029632 Loss_G: 0.016748 Loss_D_real: -0.010648 Loss_D_fake 0.018984
[359/5000][225/535][36776] Loss_D: -0.031638 Loss_G: 0.015118 Loss_D_real: -0.010074 Loss_D_fake 0.021564
[359/5000][230/535][36777] Loss_D: -0.029284 Loss_G: 0.019437 Loss_D_real: -0.023098 Loss_D_fake 0.006186
[359/5000][235/535][36778] Loss_D: -0.030641 Loss_G: 0.025539 Loss_D_real: -0.021736 Loss_D_fake 0.008905
[359/5000][240/535][36779] Loss_D: -0.028718 Loss_G: 0.028119 Loss_D_real: -0.040504 Loss_D_fake -0.011786
[359/5000][245/535][36780] Loss_D: -0.030437 Loss_G: 0.030268 Loss_D_real: -0.030368 Loss_D_fake 0.000068
[359/5000][250/535][36781] Loss_D: -0.031260 Loss_G: 0.009152 Loss_D_real: -0.020012 Loss_D_fake 0.011248
[359/5000][255/535][36782] Loss_D: -0.029217 Loss_G: 0.027901 Loss_D_real: -0.031376 Loss_D_fake -0.002160
[359/5000][260/535][36783] Loss_D: -0.030278 Loss_G: 0.028049 Loss_D_real: -0.025805 Loss_D_fake 0.004474
[359/5000][265/535][36784] Loss_D: -0.030288 Loss_G: -0.003147 Loss_D_real: -0.014838 Loss_D_fake 0.015450
[359/5000][270/535][36785] Loss_D: -0.030762 Loss_G: 0.007417 Loss_D_real: -0.007134 Loss_D_fake 0.023629
[359/5000][275/535][36786] Loss_D: -0.029768 Loss_G: 0.018257 Loss_D_real: -0.020731 Loss_D_fake 0.009038
[359/5000][280/535][36787] Loss_D: -0.031614 Loss_G: 0.011937 Loss_D_real: -0.028444 Loss_D_fake 0.003170
[359/5000][285/535][36788] Loss_D: -0.029184 Loss_G: 0.022728 Loss_D_real: -0.024845 Loss_D_fake 0.004340
[359/5000][290/535][36789] Loss_D: -0.030476 Loss_G: 0.035243 Loss_D_real: -0.026512 Loss_D_fake 0.003964
[359/5000][295/535][36790] Loss_D: -0.029279 Loss_G: -0.007043 Loss_D_real: 0.003463 Loss_D_fake 0.032742
[359/5000][300/535][36791] Loss_D: -0.029803 Loss_G: 0.016036 Loss_D_real: -0.024227 Loss_D_fake 0.005575
[359/5000][305/535][36792] Loss_D: -0.029995 Loss_G: 0.018595 Loss_D_real: -0.019115 Loss_D_fake 0.010880
[359/5000][310/535][36793] Loss_D: -0.030059 Loss_G: 0.007044 Loss_D_real: -0.012418 Loss_D_fake 0.017642
[359/5000][315/535][36794] Loss_D: -0.029555 Loss_G: 0.030480 Loss_D_real: -0.037993 Loss_D_fake -0.008437
[359/5000][320/535][36795] Loss_D: -0.028124 Loss_G: 0.011504 Loss_D_real: 0.001496 Loss_D_fake 0.029619
[359/5000][325/535][36796] Loss_D: -0.030195 Loss_G: 0.015299 Loss_D_real: -0.020366 Loss_D_fake 0.009829
[359/5000][330/535][36797] Loss_D: -0.029111 Loss_G: -0.008041 Loss_D_real: -0.001106 Loss_D_fake 0.028005
[359/5000][335/535][36798] Loss_D: -0.029953 Loss_G: -0.007601 Loss_D_real: -0.013725 Loss_D_fake 0.016228
[359/5000][340/535][36799] Loss_D: -0.029449 Loss_G: 0.005037 Loss_D_real: -0.008052 Loss_D_fake 0.021397
[359/5000][345/535][36800] Loss_D: -0.028912 Loss_G: 0.042809 Loss_D_real: -0.038086 Loss_D_fake -0.009174
[359/5000][350/535][36801] Loss_D: -0.029714 Loss_G: 0.006869 Loss_D_real: -0.017852 Loss_D_fake 0.011861
[359/5000][355/535][36802] Loss_D: -0.029613 Loss_G: 0.021311 Loss_D_real: -0.023037 Loss_D_fake 0.006576
[359/5000][360/535][36803] Loss_D: -0.029868 Loss_G: 0.012516 Loss_D_real: -0.013637 Loss_D_fake 0.016231
[359/5000][365/535][36804] Loss_D: -0.030212 Loss_G: 0.000605 Loss_D_real: -0.015915 Loss_D_fake 0.014297
[359/5000][370/535][36805] Loss_D: -0.029357 Loss_G: 0.013287 Loss_D_real: -0.012039 Loss_D_fake 0.017318
[359/5000][375/535][36806] Loss_D: -0.029973 Loss_G: 0.033675 Loss_D_real: -0.034139 Loss_D_fake -0.004166
[359/5000][380/535][36807] Loss_D: -0.031811 Loss_G: 0.022782 Loss_D_real: -0.023297 Loss_D_fake 0.008514
[359/5000][385/535][36808] Loss_D: -0.029553 Loss_G: 0.031587 Loss_D_real: -0.033163 Loss_D_fake -0.003610
[359/5000][390/535][36809] Loss_D: -0.030701 Loss_G: 0.016773 Loss_D_real: -0.022117 Loss_D_fake 0.008584
[359/5000][395/535][36810] Loss_D: -0.030482 Loss_G: 0.006560 Loss_D_real: -0.016035 Loss_D_fake 0.014447
[359/5000][400/535][36811] Loss_D: -0.031166 Loss_G: 0.026343 Loss_D_real: -0.021832 Loss_D_fake 0.009334
[359/5000][405/535][36812] Loss_D: -0.028158 Loss_G: 0.004181 Loss_D_real: -0.010165 Loss_D_fake 0.017993
[359/5000][410/535][36813] Loss_D: -0.030250 Loss_G: 0.026079 Loss_D_real: -0.022843 Loss_D_fake 0.007407
[359/5000][415/535][36814] Loss_D: -0.029953 Loss_G: 0.026958 Loss_D_real: -0.022943 Loss_D_fake 0.007010
[359/5000][420/535][36815] Loss_D: -0.029481 Loss_G: -0.001833 Loss_D_real: -0.005722 Loss_D_fake 0.023758
[359/5000][425/535][36816] Loss_D: -0.030223 Loss_G: 0.032026 Loss_D_real: -0.028474 Loss_D_fake 0.001749
[359/5000][430/535][36817] Loss_D: -0.031373 Loss_G: -0.005805 Loss_D_real: -0.006813 Loss_D_fake 0.024560
[359/5000][435/535][36818] Loss_D: -0.029638 Loss_G: 0.036946 Loss_D_real: -0.032190 Loss_D_fake -0.002551
[359/5000][440/535][36819] Loss_D: -0.029839 Loss_G: -0.000378 Loss_D_real: -0.012202 Loss_D_fake 0.017637
[359/5000][445/535][36820] Loss_D: -0.030882 Loss_G: 0.022474 Loss_D_real: -0.030808 Loss_D_fake 0.000074
[359/5000][450/535][36821] Loss_D: -0.029827 Loss_G: 0.034472 Loss_D_real: -0.031551 Loss_D_fake -0.001724
[359/5000][455/535][36822] Loss_D: -0.030653 Loss_G: -0.001214 Loss_D_real: -0.001671 Loss_D_fake 0.028982
[359/5000][460/535][36823] Loss_D: -0.030161 Loss_G: 0.019894 Loss_D_real: -0.024203 Loss_D_fake 0.005958
[359/5000][465/535][36824] Loss_D: -0.030264 Loss_G: 0.013687 Loss_D_real: -0.015116 Loss_D_fake 0.015149
[359/5000][470/535][36825] Loss_D: -0.030092 Loss_G: 0.040899 Loss_D_real: -0.038787 Loss_D_fake -0.008695
[359/5000][475/535][36826] Loss_D: -0.028993 Loss_G: -0.010721 Loss_D_real: -0.006182 Loss_D_fake 0.022811
[359/5000][480/535][36827] Loss_D: -0.031110 Loss_G: 0.014615 Loss_D_real: -0.021422 Loss_D_fake 0.009688
[359/5000][485/535][36828] Loss_D: -0.028835 Loss_G: 0.008323 Loss_D_real: -0.006137 Loss_D_fake 0.022698
[359/5000][490/535][36829] Loss_D: -0.031120 Loss_G: 0.027495 Loss_D_real: -0.032644 Loss_D_fake -0.001523
[359/5000][495/535][36830] Loss_D: -0.031272 Loss_G: 0.009682 Loss_D_real: -0.015136 Loss_D_fake 0.016136
[359/5000][500/535][36831] Loss_D: -0.029091 Loss_G: 0.038117 Loss_D_real: -0.038202 Loss_D_fake -0.009111
[359/5000][505/535][36832] Loss_D: -0.030222 Loss_G: -0.000237 Loss_D_real: -0.008236 Loss_D_fake 0.021986
[359/5000][510/535][36833] Loss_D: -0.030494 Loss_G: 0.019483 Loss_D_real: -0.023423 Loss_D_fake 0.007071
[359/5000][515/535][36834] Loss_D: -0.028778 Loss_G: 0.013833 Loss_D_real: -0.018125 Loss_D_fake 0.010653
[359/5000][520/535][36835] Loss_D: -0.030652 Loss_G: 0.024392 Loss_D_real: -0.023505 Loss_D_fake 0.007147
[359/5000][525/535][36836] Loss_D: -0.031606 Loss_G: 0.005764 Loss_D_real: -0.006064 Loss_D_fake 0.025542
[359/5000][530/535][36837] Loss_D: -0.029820 Loss_G: 0.013685 Loss_D_real: -0.011824 Loss_D_fake 0.017996
[359/5000][535/535][36838] Loss_D: -0.030872 Loss_G: 0.022288 Loss_D_real: -0.026292 Loss_D_fake 0.004579
[360/5000][5/535][36839] Loss_D: -0.030522 Loss_G: 0.004540 Loss_D_real: -0.012274 Loss_D_fake 0.018248
[360/5000][10/535][36840] Loss_D: -0.029342 Loss_G: 0.051406 Loss_D_real: -0.033693 Loss_D_fake -0.004351
[360/5000][15/535][36841] Loss_D: -0.029663 Loss_G: 0.017786 Loss_D_real: -0.013614 Loss_D_fake 0.016049
[360/5000][20/535][36842] Loss_D: -0.030046 Loss_G: 0.003297 Loss_D_real: -0.017970 Loss_D_fake 0.012077
[360/5000][25/535][36843] Loss_D: -0.030934 Loss_G: 0.001116 Loss_D_real: -0.010384 Loss_D_fake 0.020550
[360/5000][30/535][36844] Loss_D: -0.030293 Loss_G: 0.017382 Loss_D_real: -0.025439 Loss_D_fake 0.004854
[360/5000][35/535][36845] Loss_D: -0.030355 Loss_G: 0.023723 Loss_D_real: -0.023716 Loss_D_fake 0.006638
[360/5000][40/535][36846] Loss_D: -0.030275 Loss_G: 0.001882 Loss_D_real: -0.006872 Loss_D_fake 0.023402
[360/5000][45/535][36847] Loss_D: -0.030683 Loss_G: 0.019128 Loss_D_real: -0.025142 Loss_D_fake 0.005541
[360/5000][50/535][36848] Loss_D: -0.031151 Loss_G: 0.025902 Loss_D_real: -0.032179 Loss_D_fake -0.001028
[360/5000][55/535][36849] Loss_D: -0.030356 Loss_G: 0.016044 Loss_D_real: -0.019852 Loss_D_fake 0.010504
[360/5000][60/535][36850] Loss_D: -0.030777 Loss_G: 0.020641 Loss_D_real: -0.023249 Loss_D_fake 0.007529
[360/5000][65/535][36851] Loss_D: -0.031302 Loss_G: 0.027194 Loss_D_real: -0.019596 Loss_D_fake 0.011706
[360/5000][70/535][36852] Loss_D: -0.031629 Loss_G: 0.004102 Loss_D_real: -0.009968 Loss_D_fake 0.021660
[360/5000][75/535][36853] Loss_D: -0.029902 Loss_G: -0.010681 Loss_D_real: -0.002984 Loss_D_fake 0.026918
[360/5000][80/535][36854] Loss_D: -0.029695 Loss_G: 0.028032 Loss_D_real: -0.027899 Loss_D_fake 0.001796
[360/5000][85/535][36855] Loss_D: -0.030202 Loss_G: 0.031958 Loss_D_real: -0.025905 Loss_D_fake 0.004297
[360/5000][90/535][36856] Loss_D: -0.029397 Loss_G: 0.029228 Loss_D_real: -0.033816 Loss_D_fake -0.004419
[360/5000][95/535][36857] Loss_D: -0.030593 Loss_G: 0.005198 Loss_D_real: 0.001068 Loss_D_fake 0.031661
[360/5000][100/535][36858] Loss_D: -0.029784 Loss_G: 0.024889 Loss_D_real: -0.039100 Loss_D_fake -0.009315
[360/5000][105/535][36859] Loss_D: -0.028230 Loss_G: -0.009980 Loss_D_real: 0.005879 Loss_D_fake 0.034110
[360/5000][110/535][36860] Loss_D: -0.031191 Loss_G: 0.017071 Loss_D_real: -0.029054 Loss_D_fake 0.002138
[360/5000][115/535][36861] Loss_D: -0.030823 Loss_G: 0.010249 Loss_D_real: -0.008237 Loss_D_fake 0.022586
[360/5000][120/535][36862] Loss_D: -0.029209 Loss_G: 0.008679 Loss_D_real: -0.011522 Loss_D_fake 0.017688
[360/5000][125/535][36863] Loss_D: -0.031673 Loss_G: 0.005099 Loss_D_real: -0.019599 Loss_D_fake 0.012074
[360/5000][130/535][36864] Loss_D: -0.030952 Loss_G: 0.032836 Loss_D_real: -0.037852 Loss_D_fake -0.006900
[360/5000][135/535][36865] Loss_D: -0.030824 Loss_G: 0.010229 Loss_D_real: -0.017813 Loss_D_fake 0.013010
[360/5000][140/535][36866] Loss_D: -0.029323 Loss_G: 0.011757 Loss_D_real: -0.018413 Loss_D_fake 0.010910
[360/5000][145/535][36867] Loss_D: -0.029998 Loss_G: 0.021623 Loss_D_real: -0.017408 Loss_D_fake 0.012590
[360/5000][150/535][36868] Loss_D: -0.029851 Loss_G: -0.002719 Loss_D_real: -0.005951 Loss_D_fake 0.023899
[360/5000][155/535][36869] Loss_D: -0.029191 Loss_G: 0.018635 Loss_D_real: -0.012828 Loss_D_fake 0.016363
[360/5000][160/535][36870] Loss_D: -0.031003 Loss_G: 0.019971 Loss_D_real: -0.031255 Loss_D_fake -0.000252
[360/5000][165/535][36871] Loss_D: -0.030027 Loss_G: 0.006321 Loss_D_real: -0.008146 Loss_D_fake 0.021882
[360/5000][170/535][36872] Loss_D: -0.029151 Loss_G: 0.027497 Loss_D_real: -0.018223 Loss_D_fake 0.010927
[360/5000][175/535][36873] Loss_D: -0.029847 Loss_G: 0.016826 Loss_D_real: -0.017848 Loss_D_fake 0.011999
[360/5000][180/535][36874] Loss_D: -0.030033 Loss_G: 0.027004 Loss_D_real: -0.034723 Loss_D_fake -0.004690
[360/5000][185/535][36875] Loss_D: -0.029613 Loss_G: -0.006943 Loss_D_real: -0.008520 Loss_D_fake 0.021092
[360/5000][190/535][36876] Loss_D: -0.029511 Loss_G: 0.022835 Loss_D_real: -0.042918 Loss_D_fake -0.013407
[360/5000][195/535][36877] Loss_D: -0.030966 Loss_G: 0.031687 Loss_D_real: -0.018370 Loss_D_fake 0.012596
[360/5000][200/535][36878] Loss_D: -0.030376 Loss_G: 0.015107 Loss_D_real: -0.018443 Loss_D_fake 0.011933
[360/5000][205/535][36879] Loss_D: -0.030461 Loss_G: 0.029538 Loss_D_real: -0.024976 Loss_D_fake 0.005485
[360/5000][210/535][36880] Loss_D: -0.031950 Loss_G: 0.020617 Loss_D_real: -0.026225 Loss_D_fake 0.005725
[360/5000][215/535][36881] Loss_D: -0.031492 Loss_G: 0.005928 Loss_D_real: -0.019599 Loss_D_fake 0.011893
[360/5000][220/535][36882] Loss_D: -0.032091 Loss_G: 0.021823 Loss_D_real: -0.025170 Loss_D_fake 0.006921
[360/5000][225/535][36883] Loss_D: -0.029545 Loss_G: 0.002900 Loss_D_real: -0.008849 Loss_D_fake 0.020696
[360/5000][230/535][36884] Loss_D: -0.029985 Loss_G: 0.019621 Loss_D_real: -0.025912 Loss_D_fake 0.004073
[360/5000][235/535][36885] Loss_D: -0.029805 Loss_G: -0.007825 Loss_D_real: -0.006867 Loss_D_fake 0.022938
[360/5000][240/535][36886] Loss_D: -0.030837 Loss_G: 0.030858 Loss_D_real: -0.015753 Loss_D_fake 0.015083
[360/5000][245/535][36887] Loss_D: -0.028800 Loss_G: -0.004100 Loss_D_real: -0.000739 Loss_D_fake 0.028061
[360/5000][250/535][36888] Loss_D: -0.028189 Loss_G: 0.030643 Loss_D_real: -0.037645 Loss_D_fake -0.009456
[360/5000][255/535][36889] Loss_D: -0.029795 Loss_G: 0.027472 Loss_D_real: -0.033318 Loss_D_fake -0.003523
[360/5000][260/535][36890] Loss_D: -0.030103 Loss_G: 0.014275 Loss_D_real: -0.015841 Loss_D_fake 0.014263
[360/5000][265/535][36891] Loss_D: -0.027150 Loss_G: 0.038210 Loss_D_real: -0.028724 Loss_D_fake -0.001574
[360/5000][270/535][36892] Loss_D: -0.030038 Loss_G: 0.001596 Loss_D_real: -0.011993 Loss_D_fake 0.018046
[360/5000][275/535][36893] Loss_D: -0.030621 Loss_G: -0.002376 Loss_D_real: -0.010415 Loss_D_fake 0.020206
[360/5000][280/535][36894] Loss_D: -0.028215 Loss_G: 0.010729 Loss_D_real: -0.023808 Loss_D_fake 0.004407
[360/5000][285/535][36895] Loss_D: -0.028880 Loss_G: 0.024283 Loss_D_real: -0.027353 Loss_D_fake 0.001528
[360/5000][290/535][36896] Loss_D: -0.027818 Loss_G: 0.030252 Loss_D_real: -0.036743 Loss_D_fake -0.008924
[360/5000][295/535][36897] Loss_D: -0.030259 Loss_G: 0.008058 Loss_D_real: -0.011478 Loss_D_fake 0.018781
[360/5000][300/535][36898] Loss_D: -0.029026 Loss_G: 0.025906 Loss_D_real: -0.033165 Loss_D_fake -0.004139
[360/5000][305/535][36899] Loss_D: -0.030566 Loss_G: 0.015949 Loss_D_real: -0.016408 Loss_D_fake 0.014158
[360/5000][310/535][36900] Loss_D: -0.030072 Loss_G: 0.032179 Loss_D_real: -0.022442 Loss_D_fake 0.007630
[360/5000][315/535][36901] Loss_D: -0.029207 Loss_G: -0.006503 Loss_D_real: 0.001160 Loss_D_fake 0.030367
[360/5000][320/535][36902] Loss_D: -0.029573 Loss_G: 0.020335 Loss_D_real: -0.027900 Loss_D_fake 0.001673
[360/5000][325/535][36903] Loss_D: -0.030548 Loss_G: 0.004915 Loss_D_real: -0.014139 Loss_D_fake 0.016409
[360/5000][330/535][36904] Loss_D: -0.029777 Loss_G: -0.002469 Loss_D_real: -0.012536 Loss_D_fake 0.017241
[360/5000][335/535][36905] Loss_D: -0.028471 Loss_G: -0.003993 Loss_D_real: -0.001028 Loss_D_fake 0.027443
[360/5000][340/535][36906] Loss_D: -0.027331 Loss_G: 0.041249 Loss_D_real: -0.036241 Loss_D_fake -0.008910
[360/5000][345/535][36907] Loss_D: -0.029485 Loss_G: 0.012516 Loss_D_real: -0.014904 Loss_D_fake 0.014581
[360/5000][350/535][36908] Loss_D: -0.029828 Loss_G: 0.022886 Loss_D_real: -0.019247 Loss_D_fake 0.010581
[360/5000][355/535][36909] Loss_D: -0.029714 Loss_G: 0.009129 Loss_D_real: -0.008833 Loss_D_fake 0.020881
[360/5000][360/535][36910] Loss_D: -0.031037 Loss_G: 0.033746 Loss_D_real: -0.031286 Loss_D_fake -0.000248
[360/5000][365/535][36911] Loss_D: -0.029586 Loss_G: -0.013333 Loss_D_real: 0.008206 Loss_D_fake 0.037792
[360/5000][370/535][36912] Loss_D: -0.029473 Loss_G: 0.025247 Loss_D_real: -0.025629 Loss_D_fake 0.003844
[360/5000][375/535][36913] Loss_D: -0.032250 Loss_G: 0.007798 Loss_D_real: -0.008476 Loss_D_fake 0.023773
[360/5000][380/535][36914] Loss_D: -0.031542 Loss_G: 0.014718 Loss_D_real: -0.030162 Loss_D_fake 0.001380
[360/5000][385/535][36915] Loss_D: -0.031432 Loss_G: 0.004316 Loss_D_real: -0.007945 Loss_D_fake 0.023487
[360/5000][390/535][36916] Loss_D: -0.030054 Loss_G: 0.028875 Loss_D_real: -0.028503 Loss_D_fake 0.001551
[360/5000][395/535][36917] Loss_D: -0.030965 Loss_G: 0.022884 Loss_D_real: -0.032425 Loss_D_fake -0.001460
[360/5000][400/535][36918] Loss_D: -0.030133 Loss_G: -0.002680 Loss_D_real: 0.002590 Loss_D_fake 0.032722
[360/5000][405/535][36919] Loss_D: -0.029893 Loss_G: 0.010150 Loss_D_real: -0.013775 Loss_D_fake 0.016117
[360/5000][410/535][36920] Loss_D: -0.029866 Loss_G: 0.012366 Loss_D_real: -0.012195 Loss_D_fake 0.017671
[360/5000][415/535][36921] Loss_D: -0.029721 Loss_G: 0.038737 Loss_D_real: -0.027670 Loss_D_fake 0.002051
[360/5000][420/535][36922] Loss_D: -0.031364 Loss_G: 0.017828 Loss_D_real: -0.025529 Loss_D_fake 0.005835
[360/5000][425/535][36923] Loss_D: -0.031681 Loss_G: 0.023730 Loss_D_real: -0.027076 Loss_D_fake 0.004605
[360/5000][430/535][36924] Loss_D: -0.030001 Loss_G: 0.016296 Loss_D_real: -0.014364 Loss_D_fake 0.015638
[360/5000][435/535][36925] Loss_D: -0.030602 Loss_G: 0.033757 Loss_D_real: -0.031255 Loss_D_fake -0.000653
[360/5000][440/535][36926] Loss_D: -0.031007 Loss_G: 0.000003 Loss_D_real: -0.010117 Loss_D_fake 0.020889
[360/5000][445/535][36927] Loss_D: -0.030900 Loss_G: 0.036567 Loss_D_real: -0.028799 Loss_D_fake 0.002101
[360/5000][450/535][36928] Loss_D: -0.028853 Loss_G: -0.012617 Loss_D_real: -0.001051 Loss_D_fake 0.027802
[360/5000][455/535][36929] Loss_D: -0.027142 Loss_G: 0.032688 Loss_D_real: -0.040166 Loss_D_fake -0.013024
[360/5000][460/535][36930] Loss_D: -0.031179 Loss_G: 0.022034 Loss_D_real: -0.028256 Loss_D_fake 0.002923
[360/5000][465/535][36931] Loss_D: -0.030105 Loss_G: 0.010957 Loss_D_real: -0.017803 Loss_D_fake 0.012303
[360/5000][470/535][36932] Loss_D: -0.029864 Loss_G: 0.020504 Loss_D_real: -0.030965 Loss_D_fake -0.001101
[360/5000][475/535][36933] Loss_D: -0.030368 Loss_G: -0.001460 Loss_D_real: -0.007306 Loss_D_fake 0.023062
[360/5000][480/535][36934] Loss_D: -0.029434 Loss_G: -0.011569 Loss_D_real: 0.001799 Loss_D_fake 0.031234
[360/5000][485/535][36935] Loss_D: -0.030656 Loss_G: 0.011169 Loss_D_real: -0.015976 Loss_D_fake 0.014679
[360/5000][490/535][36936] Loss_D: -0.029679 Loss_G: 0.012257 Loss_D_real: -0.008709 Loss_D_fake 0.020970
[360/5000][495/535][36937] Loss_D: -0.031345 Loss_G: 0.005853 Loss_D_real: -0.013110 Loss_D_fake 0.018234
[360/5000][500/535][36938] Loss_D: -0.029854 Loss_G: 0.009943 Loss_D_real: -0.010307 Loss_D_fake 0.019547
[360/5000][505/535][36939] Loss_D: -0.029889 Loss_G: 0.016014 Loss_D_real: -0.012040 Loss_D_fake 0.017849
[360/5000][510/535][36940] Loss_D: -0.029934 Loss_G: 0.005053 Loss_D_real: -0.004998 Loss_D_fake 0.024936
[360/5000][515/535][36941] Loss_D: -0.029843 Loss_G: 0.019310 Loss_D_real: -0.030861 Loss_D_fake -0.001018
[360/5000][520/535][36942] Loss_D: -0.030772 Loss_G: -0.005432 Loss_D_real: -0.011746 Loss_D_fake 0.019026
[360/5000][525/535][36943] Loss_D: -0.030468 Loss_G: 0.016390 Loss_D_real: -0.021468 Loss_D_fake 0.009000
[360/5000][530/535][36944] Loss_D: -0.029871 Loss_G: 0.030572 Loss_D_real: -0.033625 Loss_D_fake -0.003754
[360/5000][535/535][36945] Loss_D: -0.031500 Loss_G: 0.034091 Loss_D_real: -0.005650 Loss_D_fake 0.025851
[361/5000][5/535][36946] Loss_D: -0.029540 Loss_G: 0.022053 Loss_D_real: -0.025094 Loss_D_fake 0.004446
[361/5000][10/535][36947] Loss_D: -0.030834 Loss_G: 0.014616 Loss_D_real: -0.025184 Loss_D_fake 0.005650
[361/5000][15/535][36948] Loss_D: -0.030016 Loss_G: 0.032998 Loss_D_real: -0.038118 Loss_D_fake -0.008102
[361/5000][20/535][36949] Loss_D: -0.029340 Loss_G: 0.001027 Loss_D_real: -0.013755 Loss_D_fake 0.015584
[361/5000][25/535][36950] Loss_D: -0.031199 Loss_G: 0.016941 Loss_D_real: -0.016576 Loss_D_fake 0.014624
[361/5000][30/535][36951] Loss_D: -0.031112 Loss_G: 0.006662 Loss_D_real: -0.019367 Loss_D_fake 0.011745
[361/5000][35/535][36952] Loss_D: -0.030352 Loss_G: 0.012304 Loss_D_real: -0.015312 Loss_D_fake 0.015039
[361/5000][40/535][36953] Loss_D: -0.029997 Loss_G: -0.007649 Loss_D_real: 0.003939 Loss_D_fake 0.033936
[361/5000][45/535][36954] Loss_D: -0.028887 Loss_G: 0.029984 Loss_D_real: -0.042916 Loss_D_fake -0.014029
[361/5000][50/535][36955] Loss_D: -0.030086 Loss_G: 0.015679 Loss_D_real: -0.015794 Loss_D_fake 0.014293
[361/5000][55/535][36956] Loss_D: -0.029205 Loss_G: -0.003378 Loss_D_real: -0.017143 Loss_D_fake 0.012062
[361/5000][60/535][36957] Loss_D: -0.030352 Loss_G: 0.013622 Loss_D_real: -0.019223 Loss_D_fake 0.011129
[361/5000][65/535][36958] Loss_D: -0.029691 Loss_G: 0.003269 Loss_D_real: -0.011779 Loss_D_fake 0.017912
[361/5000][70/535][36959] Loss_D: -0.029782 Loss_G: 0.008539 Loss_D_real: -0.008599 Loss_D_fake 0.021183
[361/5000][75/535][36960] Loss_D: -0.028978 Loss_G: 0.020896 Loss_D_real: -0.019469 Loss_D_fake 0.009509
[361/5000][80/535][36961] Loss_D: -0.030903 Loss_G: 0.024548 Loss_D_real: -0.031642 Loss_D_fake -0.000739
[361/5000][85/535][36962] Loss_D: -0.030206 Loss_G: 0.025044 Loss_D_real: -0.032898 Loss_D_fake -0.002691
[361/5000][90/535][36963] Loss_D: -0.031538 Loss_G: -0.001718 Loss_D_real: -0.013583 Loss_D_fake 0.017955
[361/5000][95/535][36964] Loss_D: -0.029891 Loss_G: 0.018320 Loss_D_real: -0.020489 Loss_D_fake 0.009402
[361/5000][100/535][36965] Loss_D: -0.030438 Loss_G: 0.020932 Loss_D_real: -0.027042 Loss_D_fake 0.003396
[361/5000][105/535][36966] Loss_D: -0.029962 Loss_G: 0.033003 Loss_D_real: -0.021635 Loss_D_fake 0.008327
[361/5000][110/535][36967] Loss_D: -0.030470 Loss_G: 0.020223 Loss_D_real: -0.015078 Loss_D_fake 0.015393
[361/5000][115/535][36968] Loss_D: -0.030954 Loss_G: 0.034109 Loss_D_real: -0.029114 Loss_D_fake 0.001840
[361/5000][120/535][36969] Loss_D: -0.030127 Loss_G: 0.029214 Loss_D_real: -0.029166 Loss_D_fake 0.000961
[361/5000][125/535][36970] Loss_D: -0.030809 Loss_G: 0.004331 Loss_D_real: -0.009774 Loss_D_fake 0.021035
[361/5000][130/535][36971] Loss_D: -0.029600 Loss_G: -0.006437 Loss_D_real: -0.002540 Loss_D_fake 0.027060
[361/5000][135/535][36972] Loss_D: -0.029793 Loss_G: 0.013991 Loss_D_real: -0.028561 Loss_D_fake 0.001232
[361/5000][140/535][36973] Loss_D: -0.029100 Loss_G: 0.041185 Loss_D_real: -0.042804 Loss_D_fake -0.013704
[361/5000][145/535][36974] Loss_D: -0.029445 Loss_G: 0.000255 Loss_D_real: -0.001531 Loss_D_fake 0.027914
[361/5000][150/535][36975] Loss_D: -0.028844 Loss_G: 0.020239 Loss_D_real: -0.023011 Loss_D_fake 0.005832
[361/5000][155/535][36976] Loss_D: -0.031003 Loss_G: 0.021976 Loss_D_real: -0.019754 Loss_D_fake 0.011248
[361/5000][160/535][36977] Loss_D: -0.029745 Loss_G: -0.000439 Loss_D_real: -0.012113 Loss_D_fake 0.017632
[361/5000][165/535][36978] Loss_D: -0.029764 Loss_G: 0.012300 Loss_D_real: -0.017950 Loss_D_fake 0.011814
[361/5000][170/535][36979] Loss_D: -0.031450 Loss_G: 0.026002 Loss_D_real: -0.029221 Loss_D_fake 0.002229
[361/5000][175/535][36980] Loss_D: -0.029025 Loss_G: -0.003107 Loss_D_real: -0.013581 Loss_D_fake 0.015444
[361/5000][180/535][36981] Loss_D: -0.029739 Loss_G: 0.024072 Loss_D_real: -0.026203 Loss_D_fake 0.003536
[361/5000][185/535][36982] Loss_D: -0.029526 Loss_G: -0.000541 Loss_D_real: -0.017215 Loss_D_fake 0.012311
[361/5000][190/535][36983] Loss_D: -0.031506 Loss_G: 0.018893 Loss_D_real: -0.023598 Loss_D_fake 0.007908
[361/5000][195/535][36984] Loss_D: -0.029948 Loss_G: 0.014030 Loss_D_real: -0.017153 Loss_D_fake 0.012795
[361/5000][200/535][36985] Loss_D: -0.030782 Loss_G: 0.025008 Loss_D_real: -0.028126 Loss_D_fake 0.002656
[361/5000][205/535][36986] Loss_D: -0.029396 Loss_G: 0.020220 Loss_D_real: -0.017370 Loss_D_fake 0.012026
[361/5000][210/535][36987] Loss_D: -0.030957 Loss_G: 0.011601 Loss_D_real: -0.011312 Loss_D_fake 0.019645
[361/5000][215/535][36988] Loss_D: -0.029701 Loss_G: 0.009635 Loss_D_real: -0.018655 Loss_D_fake 0.011046
[361/5000][220/535][36989] Loss_D: -0.029862 Loss_G: 0.032432 Loss_D_real: -0.029168 Loss_D_fake 0.000694
[361/5000][225/535][36990] Loss_D: -0.027708 Loss_G: 0.034985 Loss_D_real: -0.033778 Loss_D_fake -0.006070
[361/5000][230/535][36991] Loss_D: -0.029944 Loss_G: 0.007001 Loss_D_real: -0.003044 Loss_D_fake 0.026901
[361/5000][235/535][36992] Loss_D: -0.028861 Loss_G: 0.012607 Loss_D_real: -0.014197 Loss_D_fake 0.014664
[361/5000][240/535][36993] Loss_D: -0.029436 Loss_G: 0.012532 Loss_D_real: -0.014066 Loss_D_fake 0.015371
[361/5000][245/535][36994] Loss_D: -0.029472 Loss_G: 0.003419 Loss_D_real: -0.019950 Loss_D_fake 0.009523
[361/5000][250/535][36995] Loss_D: -0.030210 Loss_G: 0.025011 Loss_D_real: -0.025708 Loss_D_fake 0.004503
[361/5000][255/535][36996] Loss_D: -0.030175 Loss_G: 0.014477 Loss_D_real: -0.037063 Loss_D_fake -0.006888
[361/5000][260/535][36997] Loss_D: -0.030118 Loss_G: 0.019083 Loss_D_real: -0.026906 Loss_D_fake 0.003213
[361/5000][265/535][36998] Loss_D: -0.030910 Loss_G: 0.003008 Loss_D_real: -0.009922 Loss_D_fake 0.020989
[361/5000][270/535][36999] Loss_D: -0.028360 Loss_G: 0.005674 Loss_D_real: -0.012792 Loss_D_fake 0.015568
[361/5000][275/535][37000] Loss_D: -0.030112 Loss_G: 0.034897 Loss_D_real: -0.035333 Loss_D_fake -0.005221
[361/5000][375/535][37001] Loss_D: -0.029789 Loss_G: -0.012610 Loss_D_real: -0.001006 Loss_D_fake 0.028783
[361/5000][380/535][37002] Loss_D: -0.028767 Loss_G: 0.013530 Loss_D_real: -0.013783 Loss_D_fake 0.014984
[361/5000][385/535][37003] Loss_D: -0.028798 Loss_G: 0.015239 Loss_D_real: -0.013661 Loss_D_fake 0.015137
[361/5000][390/535][37004] Loss_D: -0.028924 Loss_G: 0.025334 Loss_D_real: -0.026305 Loss_D_fake 0.002619
[361/5000][395/535][37005] Loss_D: -0.028606 Loss_G: 0.010241 Loss_D_real: -0.015709 Loss_D_fake 0.012896
[361/5000][400/535][37006] Loss_D: -0.028145 Loss_G: 0.035967 Loss_D_real: -0.042402 Loss_D_fake -0.014257
[361/5000][405/535][37007] Loss_D: -0.030615 Loss_G: 0.026719 Loss_D_real: -0.025759 Loss_D_fake 0.004856
[361/5000][410/535][37008] Loss_D: -0.030732 Loss_G: 0.028416 Loss_D_real: -0.025078 Loss_D_fake 0.005654
[361/5000][415/535][37009] Loss_D: -0.030217 Loss_G: 0.004415 Loss_D_real: -0.009107 Loss_D_fake 0.021109
[361/5000][420/535][37010] Loss_D: -0.029590 Loss_G: 0.020542 Loss_D_real: -0.026466 Loss_D_fake 0.003124
[361/5000][425/535][37011] Loss_D: -0.028694 Loss_G: 0.007718 Loss_D_real: -0.017241 Loss_D_fake 0.011453
[361/5000][430/535][37012] Loss_D: -0.029774 Loss_G: 0.014846 Loss_D_real: -0.021727 Loss_D_fake 0.008047
[361/5000][435/535][37013] Loss_D: -0.029560 Loss_G: 0.014684 Loss_D_real: -0.017019 Loss_D_fake 0.012540
[361/5000][440/535][37014] Loss_D: -0.029745 Loss_G: 0.034358 Loss_D_real: -0.031143 Loss_D_fake -0.001398
[361/5000][445/535][37015] Loss_D: -0.029490 Loss_G: 0.006174 Loss_D_real: -0.012912 Loss_D_fake 0.016578
[361/5000][450/535][37016] Loss_D: -0.029120 Loss_G: 0.027425 Loss_D_real: -0.019845 Loss_D_fake 0.009275
[361/5000][455/535][37017] Loss_D: -0.031344 Loss_G: -0.001090 Loss_D_real: -0.008930 Loss_D_fake 0.022414
[361/5000][460/535][37018] Loss_D: -0.031330 Loss_G: 0.022111 Loss_D_real: -0.016082 Loss_D_fake 0.015249
[361/5000][465/535][37019] Loss_D: -0.027787 Loss_G: 0.004763 Loss_D_real: -0.015710 Loss_D_fake 0.012076
[361/5000][470/535][37020] Loss_D: -0.029857 Loss_G: 0.021320 Loss_D_real: -0.032552 Loss_D_fake -0.002695
[361/5000][475/535][37021] Loss_D: -0.030222 Loss_G: 0.040284 Loss_D_real: -0.033473 Loss_D_fake -0.003251
[361/5000][480/535][37022] Loss_D: -0.031262 Loss_G: 0.018846 Loss_D_real: -0.022971 Loss_D_fake 0.008291
[361/5000][485/535][37023] Loss_D: -0.030701 Loss_G: 0.026124 Loss_D_real: -0.022285 Loss_D_fake 0.008416
[361/5000][490/535][37024] Loss_D: -0.030172 Loss_G: 0.012524 Loss_D_real: -0.020375 Loss_D_fake 0.009797
[361/5000][495/535][37025] Loss_D: -0.029852 Loss_G: 0.028034 Loss_D_real: -0.024813 Loss_D_fake 0.005039
[361/5000][500/535][37026] Loss_D: -0.030700 Loss_G: 0.026137 Loss_D_real: -0.024690 Loss_D_fake 0.006010
[361/5000][505/535][37027] Loss_D: -0.030833 Loss_G: 0.017658 Loss_D_real: -0.016967 Loss_D_fake 0.013866
[361/5000][510/535][37028] Loss_D: -0.030232 Loss_G: 0.032112 Loss_D_real: -0.029337 Loss_D_fake 0.000894
[361/5000][515/535][37029] Loss_D: -0.029811 Loss_G: -0.007860 Loss_D_real: -0.002355 Loss_D_fake 0.027456
[361/5000][520/535][37030] Loss_D: -0.030305 Loss_G: 0.020089 Loss_D_real: -0.027467 Loss_D_fake 0.002837
[361/5000][525/535][37031] Loss_D: -0.031656 Loss_G: 0.016661 Loss_D_real: -0.027800 Loss_D_fake 0.003855
[361/5000][530/535][37032] Loss_D: -0.030967 Loss_G: -0.001322 Loss_D_real: -0.005225 Loss_D_fake 0.025742
[361/5000][535/535][37033] Loss_D: -0.029832 Loss_G: 0.016336 Loss_D_real: -0.017977 Loss_D_fake 0.011856
[362/5000][5/535][37034] Loss_D: -0.030290 Loss_G: 0.011755 Loss_D_real: -0.017810 Loss_D_fake 0.012480
[362/5000][10/535][37035] Loss_D: -0.030412 Loss_G: 0.014244 Loss_D_real: -0.032070 Loss_D_fake -0.001658
[362/5000][15/535][37036] Loss_D: -0.030923 Loss_G: -0.002102 Loss_D_real: -0.006114 Loss_D_fake 0.024809
[362/5000][20/535][37037] Loss_D: -0.028932 Loss_G: 0.032238 Loss_D_real: -0.037204 Loss_D_fake -0.008272
[362/5000][25/535][37038] Loss_D: -0.028643 Loss_G: 0.010234 Loss_D_real: -0.018424 Loss_D_fake 0.010218
[362/5000][30/535][37039] Loss_D: -0.029424 Loss_G: 0.003876 Loss_D_real: -0.009522 Loss_D_fake 0.019902
[362/5000][35/535][37040] Loss_D: -0.029803 Loss_G: 0.021537 Loss_D_real: -0.029638 Loss_D_fake 0.000165
[362/5000][40/535][37041] Loss_D: -0.031092 Loss_G: 0.017539 Loss_D_real: -0.028106 Loss_D_fake 0.002986
[362/5000][45/535][37042] Loss_D: -0.030224 Loss_G: -0.015147 Loss_D_real: -0.003438 Loss_D_fake 0.026786
[362/5000][50/535][37043] Loss_D: -0.030130 Loss_G: 0.024792 Loss_D_real: -0.023452 Loss_D_fake 0.006678
[362/5000][55/535][37044] Loss_D: -0.029199 Loss_G: 0.010138 Loss_D_real: -0.014612 Loss_D_fake 0.014587
[362/5000][60/535][37045] Loss_D: -0.028380 Loss_G: 0.038308 Loss_D_real: -0.030055 Loss_D_fake -0.001676
[362/5000][65/535][37046] Loss_D: -0.029858 Loss_G: -0.011116 Loss_D_real: -0.007081 Loss_D_fake 0.022777
[362/5000][70/535][37047] Loss_D: -0.028865 Loss_G: 0.026178 Loss_D_real: -0.032495 Loss_D_fake -0.003629
[362/5000][75/535][37048] Loss_D: -0.028268 Loss_G: 0.035883 Loss_D_real: -0.040885 Loss_D_fake -0.012618
[362/5000][80/535][37049] Loss_D: -0.030984 Loss_G: -0.003638 Loss_D_real: -0.007313 Loss_D_fake 0.023671
[362/5000][85/535][37050] Loss_D: -0.030023 Loss_G: 0.013539 Loss_D_real: -0.016752 Loss_D_fake 0.013271
[362/5000][90/535][37051] Loss_D: -0.031106 Loss_G: 0.020012 Loss_D_real: -0.030670 Loss_D_fake 0.000436
[362/5000][95/535][37052] Loss_D: -0.029130 Loss_G: -0.002854 Loss_D_real: -0.015991 Loss_D_fake 0.013139
[362/5000][100/535][37053] Loss_D: -0.030268 Loss_G: 0.008068 Loss_D_real: -0.014485 Loss_D_fake 0.015784
[362/5000][105/535][37054] Loss_D: -0.027875 Loss_G: 0.039558 Loss_D_real: -0.039640 Loss_D_fake -0.011765
[362/5000][110/535][37055] Loss_D: -0.029569 Loss_G: 0.009913 Loss_D_real: -0.018701 Loss_D_fake 0.010868
[362/5000][115/535][37056] Loss_D: -0.030077 Loss_G: 0.010751 Loss_D_real: -0.016722 Loss_D_fake 0.013355
[362/5000][120/535][37057] Loss_D: -0.030149 Loss_G: 0.027548 Loss_D_real: -0.026009 Loss_D_fake 0.004140
[362/5000][125/535][37058] Loss_D: -0.029761 Loss_G: 0.023819 Loss_D_real: -0.023975 Loss_D_fake 0.005786
[362/5000][130/535][37059] Loss_D: -0.030912 Loss_G: 0.022737 Loss_D_real: -0.023513 Loss_D_fake 0.007400
[362/5000][135/535][37060] Loss_D: -0.031206 Loss_G: 0.000995 Loss_D_real: -0.010765 Loss_D_fake 0.020441
[362/5000][140/535][37061] Loss_D: -0.029861 Loss_G: 0.027655 Loss_D_real: -0.039068 Loss_D_fake -0.009207
[362/5000][145/535][37062] Loss_D: -0.031010 Loss_G: -0.004718 Loss_D_real: -0.004846 Loss_D_fake 0.026164
[362/5000][150/535][37063] Loss_D: -0.029129 Loss_G: 0.006497 Loss_D_real: -0.011174 Loss_D_fake 0.017955
[362/5000][155/535][37064] Loss_D: -0.028225 Loss_G: 0.011797 Loss_D_real: -0.023064 Loss_D_fake 0.005161
[362/5000][160/535][37065] Loss_D: -0.030202 Loss_G: 0.021082 Loss_D_real: -0.025719 Loss_D_fake 0.004483
[362/5000][165/535][37066] Loss_D: -0.029615 Loss_G: 0.024557 Loss_D_real: -0.020233 Loss_D_fake 0.009382
[362/5000][170/535][37067] Loss_D: -0.028982 Loss_G: 0.023073 Loss_D_real: -0.024727 Loss_D_fake 0.004255
[362/5000][175/535][37068] Loss_D: -0.031020 Loss_G: 0.016276 Loss_D_real: -0.014071 Loss_D_fake 0.016949
[362/5000][180/535][37069] Loss_D: -0.030982 Loss_G: 0.018596 Loss_D_real: -0.031078 Loss_D_fake -0.000096
[362/5000][185/535][37070] Loss_D: -0.029951 Loss_G: 0.000452 Loss_D_real: -0.004521 Loss_D_fake 0.025430
[362/5000][190/535][37071] Loss_D: -0.030120 Loss_G: 0.018833 Loss_D_real: -0.023740 Loss_D_fake 0.006380
[362/5000][195/535][37072] Loss_D: -0.030324 Loss_G: 0.002091 Loss_D_real: -0.015136 Loss_D_fake 0.015188
[362/5000][200/535][37073] Loss_D: -0.029287 Loss_G: 0.031904 Loss_D_real: -0.027139 Loss_D_fake 0.002148
[362/5000][205/535][37074] Loss_D: -0.030938 Loss_G: 0.014587 Loss_D_real: -0.015944 Loss_D_fake 0.014994
[362/5000][210/535][37075] Loss_D: -0.030938 Loss_G: 0.033351 Loss_D_real: -0.030145 Loss_D_fake 0.000793
[362/5000][215/535][37076] Loss_D: -0.031236 Loss_G: 0.016880 Loss_D_real: -0.024339 Loss_D_fake 0.006897
[362/5000][220/535][37077] Loss_D: -0.029537 Loss_G: -0.009123 Loss_D_real: 0.002572 Loss_D_fake 0.032108
[362/5000][225/535][37078] Loss_D: -0.031232 Loss_G: 0.010793 Loss_D_real: -0.018126 Loss_D_fake 0.013106
[362/5000][230/535][37079] Loss_D: -0.029115 Loss_G: 0.029072 Loss_D_real: -0.025436 Loss_D_fake 0.003679
[362/5000][235/535][37080] Loss_D: -0.029856 Loss_G: 0.024481 Loss_D_real: -0.018969 Loss_D_fake 0.010888
[362/5000][240/535][37081] Loss_D: -0.030075 Loss_G: 0.028140 Loss_D_real: -0.024314 Loss_D_fake 0.005761
[362/5000][245/535][37082] Loss_D: -0.028726 Loss_G: -0.017767 Loss_D_real: -0.005245 Loss_D_fake 0.023481
[362/5000][250/535][37083] Loss_D: -0.029855 Loss_G: 0.014323 Loss_D_real: -0.022228 Loss_D_fake 0.007627
[362/5000][255/535][37084] Loss_D: -0.029655 Loss_G: 0.009958 Loss_D_real: -0.020444 Loss_D_fake 0.009211
[362/5000][260/535][37085] Loss_D: -0.028623 Loss_G: 0.007858 Loss_D_real: -0.016470 Loss_D_fake 0.012153
[362/5000][265/535][37086] Loss_D: -0.030220 Loss_G: 0.022128 Loss_D_real: -0.027067 Loss_D_fake 0.003153
[362/5000][270/535][37087] Loss_D: -0.029974 Loss_G: -0.005432 Loss_D_real: 0.006077 Loss_D_fake 0.036051
[362/5000][275/535][37088] Loss_D: -0.029372 Loss_G: 0.031384 Loss_D_real: -0.030081 Loss_D_fake -0.000709
[362/5000][280/535][37089] Loss_D: -0.032319 Loss_G: 0.006502 Loss_D_real: -0.012768 Loss_D_fake 0.019551
[362/5000][285/535][37090] Loss_D: -0.031499 Loss_G: 0.036000 Loss_D_real: -0.034456 Loss_D_fake -0.002957
[362/5000][290/535][37091] Loss_D: -0.029414 Loss_G: 0.030593 Loss_D_real: -0.027649 Loss_D_fake 0.001765
[362/5000][295/535][37092] Loss_D: -0.033237 Loss_G: 0.008854 Loss_D_real: -0.020640 Loss_D_fake 0.012597
[362/5000][300/535][37093] Loss_D: -0.030425 Loss_G: 0.006158 Loss_D_real: -0.005656 Loss_D_fake 0.024769
[362/5000][305/535][37094] Loss_D: -0.029825 Loss_G: 0.026687 Loss_D_real: -0.029060 Loss_D_fake 0.000765
[362/5000][310/535][37095] Loss_D: -0.030069 Loss_G: 0.021786 Loss_D_real: -0.028854 Loss_D_fake 0.001215
[362/5000][315/535][37096] Loss_D: -0.031547 Loss_G: -0.014637 Loss_D_real: -0.005764 Loss_D_fake 0.025783
[362/5000][320/535][37097] Loss_D: -0.029000 Loss_G: -0.004805 Loss_D_real: 0.005638 Loss_D_fake 0.034638
[362/5000][325/535][37098] Loss_D: -0.030663 Loss_G: 0.028247 Loss_D_real: -0.033716 Loss_D_fake -0.003053
[362/5000][330/535][37099] Loss_D: -0.029350 Loss_G: 0.004545 Loss_D_real: -0.001604 Loss_D_fake 0.027746
[362/5000][335/535][37100] Loss_D: -0.028958 Loss_G: 0.029152 Loss_D_real: -0.024414 Loss_D_fake 0.004544
[362/5000][340/535][37101] Loss_D: -0.030264 Loss_G: 0.009912 Loss_D_real: -0.016632 Loss_D_fake 0.013632
[362/5000][345/535][37102] Loss_D: -0.030398 Loss_G: 0.003458 Loss_D_real: -0.005470 Loss_D_fake 0.024928
[362/5000][350/535][37103] Loss_D: -0.030143 Loss_G: 0.028676 Loss_D_real: -0.024737 Loss_D_fake 0.005407
[362/5000][355/535][37104] Loss_D: -0.030254 Loss_G: -0.000874 Loss_D_real: -0.007214 Loss_D_fake 0.023041
[362/5000][360/535][37105] Loss_D: -0.028818 Loss_G: 0.033928 Loss_D_real: -0.032387 Loss_D_fake -0.003568
[362/5000][365/535][37106] Loss_D: -0.029022 Loss_G: -0.002615 Loss_D_real: -0.002732 Loss_D_fake 0.026290
[362/5000][370/535][37107] Loss_D: -0.029540 Loss_G: 0.009786 Loss_D_real: -0.017242 Loss_D_fake 0.012297
[362/5000][375/535][37108] Loss_D: -0.028354 Loss_G: 0.019306 Loss_D_real: -0.023878 Loss_D_fake 0.004476
[362/5000][380/535][37109] Loss_D: -0.029985 Loss_G: -0.003649 Loss_D_real: -0.004317 Loss_D_fake 0.025668
[362/5000][385/535][37110] Loss_D: -0.029521 Loss_G: 0.026598 Loss_D_real: -0.024695 Loss_D_fake 0.004826
[362/5000][390/535][37111] Loss_D: -0.029507 Loss_G: 0.035438 Loss_D_real: -0.030229 Loss_D_fake -0.000722
[362/5000][395/535][37112] Loss_D: -0.029738 Loss_G: 0.018701 Loss_D_real: -0.021459 Loss_D_fake 0.008280
[362/5000][400/535][37113] Loss_D: -0.029553 Loss_G: -0.002073 Loss_D_real: -0.016210 Loss_D_fake 0.013343
[362/5000][405/535][37114] Loss_D: -0.029349 Loss_G: 0.030267 Loss_D_real: -0.032099 Loss_D_fake -0.002749
[362/5000][410/535][37115] Loss_D: -0.029751 Loss_G: 0.018136 Loss_D_real: -0.017755 Loss_D_fake 0.011996
[362/5000][415/535][37116] Loss_D: -0.030252 Loss_G: 0.035187 Loss_D_real: -0.031081 Loss_D_fake -0.000830
[362/5000][420/535][37117] Loss_D: -0.031277 Loss_G: 0.011499 Loss_D_real: -0.019588 Loss_D_fake 0.011689
[362/5000][425/535][37118] Loss_D: -0.032058 Loss_G: 0.014501 Loss_D_real: -0.014612 Loss_D_fake 0.017446
[362/5000][430/535][37119] Loss_D: -0.028547 Loss_G: 0.031368 Loss_D_real: -0.027942 Loss_D_fake 0.000605
[362/5000][435/535][37120] Loss_D: -0.030064 Loss_G: 0.033266 Loss_D_real: -0.028751 Loss_D_fake 0.001313
[362/5000][440/535][37121] Loss_D: -0.028779 Loss_G: 0.025877 Loss_D_real: -0.025421 Loss_D_fake 0.003358
[362/5000][445/535][37122] Loss_D: -0.031004 Loss_G: -0.001642 Loss_D_real: -0.012452 Loss_D_fake 0.018552
[362/5000][450/535][37123] Loss_D: -0.029538 Loss_G: 0.029738 Loss_D_real: -0.035579 Loss_D_fake -0.006041
[362/5000][455/535][37124] Loss_D: -0.030212 Loss_G: 0.017235 Loss_D_real: -0.017186 Loss_D_fake 0.013026
[362/5000][460/535][37125] Loss_D: -0.028926 Loss_G: -0.000733 Loss_D_real: -0.001272 Loss_D_fake 0.027654
[362/5000][465/535][37126] Loss_D: -0.030690 Loss_G: 0.032778 Loss_D_real: -0.028133 Loss_D_fake 0.002557
[362/5000][470/535][37127] Loss_D: -0.030730 Loss_G: 0.005082 Loss_D_real: -0.008332 Loss_D_fake 0.022398
[362/5000][475/535][37128] Loss_D: -0.030045 Loss_G: 0.035205 Loss_D_real: -0.034351 Loss_D_fake -0.004306
[362/5000][480/535][37129] Loss_D: -0.030510 Loss_G: 0.016184 Loss_D_real: -0.024302 Loss_D_fake 0.006208
[362/5000][485/535][37130] Loss_D: -0.029885 Loss_G: 0.030603 Loss_D_real: -0.033646 Loss_D_fake -0.003761
[362/5000][490/535][37131] Loss_D: -0.029211 Loss_G: 0.017095 Loss_D_real: -0.027158 Loss_D_fake 0.002053
[362/5000][495/535][37132] Loss_D: -0.029272 Loss_G: 0.023422 Loss_D_real: -0.025129 Loss_D_fake 0.004144
[362/5000][500/535][37133] Loss_D: -0.030070 Loss_G: 0.006403 Loss_D_real: -0.021284 Loss_D_fake 0.008786
[362/5000][505/535][37134] Loss_D: -0.030258 Loss_G: 0.023013 Loss_D_real: -0.018719 Loss_D_fake 0.011539
[362/5000][510/535][37135] Loss_D: -0.030648 Loss_G: 0.021380 Loss_D_real: -0.020740 Loss_D_fake 0.009908
[362/5000][515/535][37136] Loss_D: -0.030886 Loss_G: 0.004695 Loss_D_real: -0.009344 Loss_D_fake 0.021542
[362/5000][520/535][37137] Loss_D: -0.029703 Loss_G: 0.013152 Loss_D_real: -0.017098 Loss_D_fake 0.012606
[362/5000][525/535][37138] Loss_D: -0.031670 Loss_G: 0.010173 Loss_D_real: -0.014732 Loss_D_fake 0.016938
[362/5000][530/535][37139] Loss_D: -0.030603 Loss_G: 0.020997 Loss_D_real: -0.023542 Loss_D_fake 0.007061
[362/5000][535/535][37140] Loss_D: -0.028312 Loss_G: 0.023622 Loss_D_real: -0.031321 Loss_D_fake -0.003009
[363/5000][5/535][37141] Loss_D: -0.031404 Loss_G: 0.012768 Loss_D_real: -0.021646 Loss_D_fake 0.009758
[363/5000][10/535][37142] Loss_D: -0.030874 Loss_G: 0.023159 Loss_D_real: -0.026923 Loss_D_fake 0.003951
[363/5000][15/535][37143] Loss_D: -0.029963 Loss_G: 0.031416 Loss_D_real: -0.021074 Loss_D_fake 0.008889
[363/5000][20/535][37144] Loss_D: -0.029448 Loss_G: 0.003431 Loss_D_real: -0.001653 Loss_D_fake 0.027795
[363/5000][25/535][37145] Loss_D: -0.027876 Loss_G: 0.040802 Loss_D_real: -0.038683 Loss_D_fake -0.010807
[363/5000][30/535][37146] Loss_D: -0.028022 Loss_G: 0.026463 Loss_D_real: -0.019218 Loss_D_fake 0.008804
[363/5000][35/535][37147] Loss_D: -0.030542 Loss_G: 0.023822 Loss_D_real: -0.030388 Loss_D_fake 0.000153
[363/5000][40/535][37148] Loss_D: -0.030207 Loss_G: 0.002333 Loss_D_real: -0.008593 Loss_D_fake 0.021614
[363/5000][45/535][37149] Loss_D: -0.031040 Loss_G: 0.022935 Loss_D_real: -0.024840 Loss_D_fake 0.006200
[363/5000][50/535][37150] Loss_D: -0.030618 Loss_G: 0.002390 Loss_D_real: -0.015323 Loss_D_fake 0.015295
[363/5000][55/535][37151] Loss_D: -0.030494 Loss_G: 0.015375 Loss_D_real: -0.016424 Loss_D_fake 0.014070
[363/5000][60/535][37152] Loss_D: -0.031299 Loss_G: 0.022225 Loss_D_real: -0.018015 Loss_D_fake 0.013284
[363/5000][65/535][37153] Loss_D: -0.030630 Loss_G: 0.002840 Loss_D_real: -0.012026 Loss_D_fake 0.018605
[363/5000][70/535][37154] Loss_D: -0.030288 Loss_G: -0.001573 Loss_D_real: -0.005750 Loss_D_fake 0.024538
[363/5000][75/535][37155] Loss_D: -0.029886 Loss_G: 0.032862 Loss_D_real: -0.032960 Loss_D_fake -0.003074
[363/5000][80/535][37156] Loss_D: -0.031116 Loss_G: 0.004668 Loss_D_real: -0.008712 Loss_D_fake 0.022404
[363/5000][85/535][37157] Loss_D: -0.031513 Loss_G: 0.012809 Loss_D_real: -0.017655 Loss_D_fake 0.013859
[363/5000][90/535][37158] Loss_D: -0.029987 Loss_G: -0.015295 Loss_D_real: 0.002924 Loss_D_fake 0.032911
[363/5000][95/535][37159] Loss_D: -0.029782 Loss_G: 0.026253 Loss_D_real: -0.030081 Loss_D_fake -0.000299
[363/5000][100/535][37160] Loss_D: -0.029620 Loss_G: 0.027391 Loss_D_real: -0.025162 Loss_D_fake 0.004458
[363/5000][105/535][37161] Loss_D: -0.027930 Loss_G: 0.001937 Loss_D_real: 0.008318 Loss_D_fake 0.036248
[363/5000][110/535][37162] Loss_D: -0.030374 Loss_G: 0.026730 Loss_D_real: -0.027725 Loss_D_fake 0.002649
[363/5000][115/535][37163] Loss_D: -0.030431 Loss_G: 0.016203 Loss_D_real: -0.023744 Loss_D_fake 0.006687
[363/5000][120/535][37164] Loss_D: -0.032718 Loss_G: 0.019884 Loss_D_real: -0.017871 Loss_D_fake 0.014848
[363/5000][125/535][37165] Loss_D: -0.030441 Loss_G: -0.002534 Loss_D_real: -0.009907 Loss_D_fake 0.020533
[363/5000][130/535][37166] Loss_D: -0.030106 Loss_G: 0.009781 Loss_D_real: -0.020864 Loss_D_fake 0.009242
[363/5000][135/535][37167] Loss_D: -0.029913 Loss_G: 0.027721 Loss_D_real: -0.027499 Loss_D_fake 0.002414
[363/5000][140/535][37168] Loss_D: -0.029376 Loss_G: 0.043243 Loss_D_real: -0.031280 Loss_D_fake -0.001904
[363/5000][145/535][37169] Loss_D: -0.028528 Loss_G: 0.002339 Loss_D_real: -0.016624 Loss_D_fake 0.011905
[363/5000][150/535][37170] Loss_D: -0.028870 Loss_G: 0.016837 Loss_D_real: -0.020755 Loss_D_fake 0.008115
[363/5000][155/535][37171] Loss_D: -0.029024 Loss_G: 0.017837 Loss_D_real: -0.023944 Loss_D_fake 0.005079
[363/5000][160/535][37172] Loss_D: -0.027162 Loss_G: 0.038160 Loss_D_real: -0.030899 Loss_D_fake -0.003737
[363/5000][165/535][37173] Loss_D: -0.030191 Loss_G: 0.018822 Loss_D_real: -0.023167 Loss_D_fake 0.007024
[363/5000][170/535][37174] Loss_D: -0.030366 Loss_G: 0.013697 Loss_D_real: -0.021347 Loss_D_fake 0.009019
[363/5000][175/535][37175] Loss_D: -0.029487 Loss_G: 0.026001 Loss_D_real: -0.038581 Loss_D_fake -0.009094
[363/5000][180/535][37176] Loss_D: -0.030587 Loss_G: 0.005629 Loss_D_real: -0.013434 Loss_D_fake 0.017153
[363/5000][185/535][37177] Loss_D: -0.031131 Loss_G: 0.039165 Loss_D_real: -0.029206 Loss_D_fake 0.001925
[363/5000][190/535][37178] Loss_D: -0.030558 Loss_G: 0.005614 Loss_D_real: -0.005780 Loss_D_fake 0.024778
[363/5000][195/535][37179] Loss_D: -0.030717 Loss_G: 0.011671 Loss_D_real: -0.015647 Loss_D_fake 0.015070
[363/5000][200/535][37180] Loss_D: -0.030826 Loss_G: 0.015634 Loss_D_real: -0.018688 Loss_D_fake 0.012138
[363/5000][205/535][37181] Loss_D: -0.030303 Loss_G: -0.000369 Loss_D_real: -0.015797 Loss_D_fake 0.014506
[363/5000][210/535][37182] Loss_D: -0.029345 Loss_G: 0.009010 Loss_D_real: -0.017735 Loss_D_fake 0.011610
[363/5000][215/535][37183] Loss_D: -0.030925 Loss_G: 0.021198 Loss_D_real: -0.024781 Loss_D_fake 0.006144
[363/5000][220/535][37184] Loss_D: -0.029702 Loss_G: 0.012681 Loss_D_real: -0.016762 Loss_D_fake 0.012940
[363/5000][225/535][37185] Loss_D: -0.032253 Loss_G: 0.013808 Loss_D_real: -0.024203 Loss_D_fake 0.008050
[363/5000][230/535][37186] Loss_D: -0.029835 Loss_G: 0.034943 Loss_D_real: -0.037647 Loss_D_fake -0.007812
[363/5000][235/535][37187] Loss_D: -0.031367 Loss_G: 0.021912 Loss_D_real: -0.014565 Loss_D_fake 0.016802
[363/5000][240/535][37188] Loss_D: -0.029457 Loss_G: 0.024111 Loss_D_real: -0.035556 Loss_D_fake -0.006099
[363/5000][245/535][37189] Loss_D: -0.029837 Loss_G: -0.000792 Loss_D_real: -0.009937 Loss_D_fake 0.019900
[363/5000][250/535][37190] Loss_D: -0.029697 Loss_G: 0.035379 Loss_D_real: -0.031756 Loss_D_fake -0.002059
[363/5000][255/535][37191] Loss_D: -0.031774 Loss_G: 0.016692 Loss_D_real: -0.020092 Loss_D_fake 0.011682
[363/5000][260/535][37192] Loss_D: -0.029469 Loss_G: 0.031351 Loss_D_real: -0.028837 Loss_D_fake 0.000633
[363/5000][265/535][37193] Loss_D: -0.029246 Loss_G: -0.013444 Loss_D_real: 0.004093 Loss_D_fake 0.033338
[363/5000][270/535][37194] Loss_D: -0.027346 Loss_G: 0.029673 Loss_D_real: -0.044854 Loss_D_fake -0.017509
[363/5000][275/535][37195] Loss_D: -0.030417 Loss_G: -0.003827 Loss_D_real: -0.011563 Loss_D_fake 0.018854
[363/5000][280/535][37196] Loss_D: -0.030252 Loss_G: 0.025430 Loss_D_real: -0.030177 Loss_D_fake 0.000075
[363/5000][285/535][37197] Loss_D: -0.030220 Loss_G: 0.022706 Loss_D_real: -0.018527 Loss_D_fake 0.011693
[363/5000][290/535][37198] Loss_D: -0.029550 Loss_G: 0.031993 Loss_D_real: -0.027669 Loss_D_fake 0.001881
[363/5000][295/535][37199] Loss_D: -0.030340 Loss_G: 0.018645 Loss_D_real: -0.023422 Loss_D_fake 0.006918
[363/5000][300/535][37200] Loss_D: -0.029416 Loss_G: 0.020765 Loss_D_real: -0.026819 Loss_D_fake 0.002597
[363/5000][305/535][37201] Loss_D: -0.027685 Loss_G: 0.036373 Loss_D_real: -0.039198 Loss_D_fake -0.011514
[363/5000][310/535][37202] Loss_D: -0.031635 Loss_G: 0.010592 Loss_D_real: -0.012388 Loss_D_fake 0.019247
[363/5000][315/535][37203] Loss_D: -0.030282 Loss_G: 0.012506 Loss_D_real: -0.017641 Loss_D_fake 0.012641
[363/5000][320/535][37204] Loss_D: -0.030543 Loss_G: -0.002678 Loss_D_real: -0.011670 Loss_D_fake 0.018873
[363/5000][325/535][37205] Loss_D: -0.030703 Loss_G: 0.014170 Loss_D_real: -0.015572 Loss_D_fake 0.015131
[363/5000][330/535][37206] Loss_D: -0.026389 Loss_G: 0.035267 Loss_D_real: -0.030532 Loss_D_fake -0.004144
[363/5000][335/535][37207] Loss_D: -0.029448 Loss_G: -0.006904 Loss_D_real: 0.001506 Loss_D_fake 0.030954
[363/5000][340/535][37208] Loss_D: -0.029165 Loss_G: 0.003943 Loss_D_real: -0.015353 Loss_D_fake 0.013813
[363/5000][345/535][37209] Loss_D: -0.029960 Loss_G: 0.023151 Loss_D_real: -0.026795 Loss_D_fake 0.003165
[363/5000][350/535][37210] Loss_D: -0.029811 Loss_G: 0.005815 Loss_D_real: -0.010885 Loss_D_fake 0.018926
[363/5000][355/535][37211] Loss_D: -0.031376 Loss_G: 0.018594 Loss_D_real: -0.026007 Loss_D_fake 0.005369
[363/5000][360/535][37212] Loss_D: -0.030096 Loss_G: 0.025215 Loss_D_real: -0.025443 Loss_D_fake 0.004653
[363/5000][365/535][37213] Loss_D: -0.029861 Loss_G: 0.013154 Loss_D_real: -0.018379 Loss_D_fake 0.011482
[363/5000][370/535][37214] Loss_D: -0.031007 Loss_G: 0.015923 Loss_D_real: -0.020424 Loss_D_fake 0.010584
[363/5000][375/535][37215] Loss_D: -0.029968 Loss_G: 0.028617 Loss_D_real: -0.028924 Loss_D_fake 0.001044
[363/5000][380/535][37216] Loss_D: -0.030798 Loss_G: 0.000876 Loss_D_real: -0.020607 Loss_D_fake 0.010191
[363/5000][385/535][37217] Loss_D: -0.030201 Loss_G: 0.013091 Loss_D_real: -0.027995 Loss_D_fake 0.002206
[363/5000][390/535][37218] Loss_D: -0.029039 Loss_G: -0.011410 Loss_D_real: -0.001807 Loss_D_fake 0.027231
[363/5000][395/535][37219] Loss_D: -0.029371 Loss_G: 0.028542 Loss_D_real: -0.025723 Loss_D_fake 0.003648
[363/5000][400/535][37220] Loss_D: -0.029693 Loss_G: 0.002379 Loss_D_real: -0.006110 Loss_D_fake 0.023583
[363/5000][405/535][37221] Loss_D: -0.029371 Loss_G: 0.037410 Loss_D_real: -0.027090 Loss_D_fake 0.002281
[363/5000][410/535][37222] Loss_D: -0.030833 Loss_G: 0.004290 Loss_D_real: -0.007516 Loss_D_fake 0.023317
[363/5000][415/535][37223] Loss_D: -0.031142 Loss_G: 0.027025 Loss_D_real: -0.028449 Loss_D_fake 0.002694
[363/5000][420/535][37224] Loss_D: -0.030456 Loss_G: 0.011508 Loss_D_real: -0.019631 Loss_D_fake 0.010825
[363/5000][425/535][37225] Loss_D: -0.030855 Loss_G: 0.014480 Loss_D_real: -0.017496 Loss_D_fake 0.013358
[363/5000][430/535][37226] Loss_D: -0.030041 Loss_G: 0.026932 Loss_D_real: -0.035287 Loss_D_fake -0.005246
[363/5000][435/535][37227] Loss_D: -0.029226 Loss_G: 0.034783 Loss_D_real: -0.029876 Loss_D_fake -0.000650
[363/5000][440/535][37228] Loss_D: -0.029340 Loss_G: 0.022104 Loss_D_real: -0.022692 Loss_D_fake 0.006648
[363/5000][445/535][37229] Loss_D: -0.028928 Loss_G: -0.013175 Loss_D_real: 0.007199 Loss_D_fake 0.036128
[363/5000][450/535][37230] Loss_D: -0.029440 Loss_G: 0.013402 Loss_D_real: -0.017605 Loss_D_fake 0.011836
[363/5000][455/535][37231] Loss_D: -0.029545 Loss_G: 0.022387 Loss_D_real: -0.018656 Loss_D_fake 0.010889
[363/5000][460/535][37232] Loss_D: -0.028982 Loss_G: 0.001020 Loss_D_real: -0.000205 Loss_D_fake 0.028778
[363/5000][465/535][37233] Loss_D: -0.028035 Loss_G: 0.025146 Loss_D_real: -0.025421 Loss_D_fake 0.002615
[363/5000][470/535][37234] Loss_D: -0.029108 Loss_G: 0.013156 Loss_D_real: -0.012843 Loss_D_fake 0.016265
[363/5000][475/535][37235] Loss_D: -0.030508 Loss_G: 0.029398 Loss_D_real: -0.027581 Loss_D_fake 0.002927
[363/5000][480/535][37236] Loss_D: -0.030500 Loss_G: 0.004382 Loss_D_real: -0.010849 Loss_D_fake 0.019651
[363/5000][485/535][37237] Loss_D: -0.028798 Loss_G: 0.033789 Loss_D_real: -0.038767 Loss_D_fake -0.009970
[363/5000][490/535][37238] Loss_D: -0.028887 Loss_G: -0.009194 Loss_D_real: 0.002050 Loss_D_fake 0.030937
[363/5000][495/535][37239] Loss_D: -0.029437 Loss_G: 0.014264 Loss_D_real: -0.021765 Loss_D_fake 0.007672
[363/5000][500/535][37240] Loss_D: -0.029110 Loss_G: -0.008843 Loss_D_real: 0.003953 Loss_D_fake 0.033064
[363/5000][505/535][37241] Loss_D: -0.026866 Loss_G: 0.011408 Loss_D_real: -0.025886 Loss_D_fake 0.000980
[363/5000][510/535][37242] Loss_D: -0.028979 Loss_G: -0.000537 Loss_D_real: -0.007366 Loss_D_fake 0.021612
[363/5000][515/535][37243] Loss_D: -0.028299 Loss_G: 0.033385 Loss_D_real: -0.029180 Loss_D_fake -0.000881
[363/5000][520/535][37244] Loss_D: -0.029551 Loss_G: 0.013229 Loss_D_real: -0.018811 Loss_D_fake 0.010741
[363/5000][525/535][37245] Loss_D: -0.029798 Loss_G: 0.013241 Loss_D_real: -0.026043 Loss_D_fake 0.003756
[363/5000][530/535][37246] Loss_D: -0.030572 Loss_G: 0.031617 Loss_D_real: -0.030139 Loss_D_fake 0.000433
[363/5000][535/535][37247] Loss_D: -0.028949 Loss_G: -0.018792 Loss_D_real: -0.020045 Loss_D_fake 0.008903
[364/5000][5/535][37248] Loss_D: -0.028458 Loss_G: 0.033396 Loss_D_real: -0.033684 Loss_D_fake -0.005226
[364/5000][10/535][37249] Loss_D: -0.028951 Loss_G: 0.002522 Loss_D_real: -0.003370 Loss_D_fake 0.025582
[364/5000][15/535][37250] Loss_D: -0.028800 Loss_G: -0.005890 Loss_D_real: -0.003774 Loss_D_fake 0.025027
[364/5000][20/535][37251] Loss_D: -0.027846 Loss_G: 0.012154 Loss_D_real: -0.016696 Loss_D_fake 0.011150
[364/5000][25/535][37252] Loss_D: -0.030323 Loss_G: 0.017096 Loss_D_real: -0.017000 Loss_D_fake 0.013323
[364/5000][30/535][37253] Loss_D: -0.028914 Loss_G: 0.034848 Loss_D_real: -0.034675 Loss_D_fake -0.005761
[364/5000][35/535][37254] Loss_D: -0.032772 Loss_G: 0.016723 Loss_D_real: -0.019310 Loss_D_fake 0.013462
[364/5000][40/535][37255] Loss_D: -0.032832 Loss_G: 0.018108 Loss_D_real: -0.023542 Loss_D_fake 0.009289
[364/5000][45/535][37256] Loss_D: -0.030847 Loss_G: 0.038031 Loss_D_real: -0.029462 Loss_D_fake 0.001386
[364/5000][50/535][37257] Loss_D: -0.028806 Loss_G: -0.016302 Loss_D_real: 0.007568 Loss_D_fake 0.036374
[364/5000][55/535][37258] Loss_D: -0.029423 Loss_G: 0.024348 Loss_D_real: -0.026006 Loss_D_fake 0.003418
[364/5000][60/535][37259] Loss_D: -0.030682 Loss_G: 0.019977 Loss_D_real: -0.007833 Loss_D_fake 0.022849
[364/5000][65/535][37260] Loss_D: -0.029791 Loss_G: 0.019794 Loss_D_real: -0.026353 Loss_D_fake 0.003438
[364/5000][70/535][37261] Loss_D: -0.032332 Loss_G: 0.008242 Loss_D_real: -0.011128 Loss_D_fake 0.021204
[364/5000][75/535][37262] Loss_D: -0.031574 Loss_G: 0.002005 Loss_D_real: -0.018658 Loss_D_fake 0.012916
[364/5000][80/535][37263] Loss_D: -0.032670 Loss_G: 0.019074 Loss_D_real: -0.015244 Loss_D_fake 0.017426
[364/5000][85/535][37264] Loss_D: -0.030675 Loss_G: 0.006648 Loss_D_real: -0.013590 Loss_D_fake 0.017085
[364/5000][90/535][37265] Loss_D: -0.031554 Loss_G: 0.030424 Loss_D_real: -0.029241 Loss_D_fake 0.002313
[364/5000][95/535][37266] Loss_D: -0.031614 Loss_G: 0.007707 Loss_D_real: -0.010789 Loss_D_fake 0.020824
[364/5000][100/535][37267] Loss_D: -0.032723 Loss_G: 0.015950 Loss_D_real: -0.019021 Loss_D_fake 0.013701
[364/5000][105/535][37268] Loss_D: -0.030463 Loss_G: 0.010431 Loss_D_real: -0.019055 Loss_D_fake 0.011408
[364/5000][110/535][37269] Loss_D: -0.029893 Loss_G: 0.028649 Loss_D_real: -0.032040 Loss_D_fake -0.002147
[364/5000][115/535][37270] Loss_D: -0.027929 Loss_G: 0.042274 Loss_D_real: -0.042656 Loss_D_fake -0.014727
[364/5000][120/535][37271] Loss_D: -0.028269 Loss_G: -0.006469 Loss_D_real: -0.002422 Loss_D_fake 0.025848
[364/5000][125/535][37272] Loss_D: -0.028333 Loss_G: 0.002569 Loss_D_real: -0.014182 Loss_D_fake 0.014151
[364/5000][130/535][37273] Loss_D: -0.029304 Loss_G: -0.002015 Loss_D_real: -0.013811 Loss_D_fake 0.015493
[364/5000][135/535][37274] Loss_D: -0.030301 Loss_G: 0.018213 Loss_D_real: -0.024774 Loss_D_fake 0.005527
[364/5000][140/535][37275] Loss_D: -0.029006 Loss_G: 0.043601 Loss_D_real: -0.032390 Loss_D_fake -0.003384
[364/5000][145/535][37276] Loss_D: -0.028737 Loss_G: -0.003958 Loss_D_real: -0.005813 Loss_D_fake 0.022924
[364/5000][150/535][37277] Loss_D: -0.029681 Loss_G: 0.012141 Loss_D_real: -0.015680 Loss_D_fake 0.014001
[364/5000][155/535][37278] Loss_D: -0.029472 Loss_G: 0.033390 Loss_D_real: -0.027426 Loss_D_fake 0.002046
[364/5000][160/535][37279] Loss_D: -0.029335 Loss_G: -0.012697 Loss_D_real: -0.003918 Loss_D_fake 0.025417
[364/5000][165/535][37280] Loss_D: -0.029242 Loss_G: 0.021583 Loss_D_real: -0.026508 Loss_D_fake 0.002734
[364/5000][170/535][37281] Loss_D: -0.030643 Loss_G: 0.012062 Loss_D_real: -0.010449 Loss_D_fake 0.020194
[364/5000][175/535][37282] Loss_D: -0.029596 Loss_G: 0.007969 Loss_D_real: -0.007301 Loss_D_fake 0.022294
[364/5000][180/535][37283] Loss_D: -0.030453 Loss_G: 0.030695 Loss_D_real: -0.031202 Loss_D_fake -0.000749
[364/5000][185/535][37284] Loss_D: -0.030115 Loss_G: 0.017553 Loss_D_real: -0.014633 Loss_D_fake 0.015482
[364/5000][190/535][37285] Loss_D: -0.029606 Loss_G: 0.036139 Loss_D_real: -0.028985 Loss_D_fake 0.000621
[364/5000][195/535][37286] Loss_D: -0.029868 Loss_G: 0.008420 Loss_D_real: -0.014142 Loss_D_fake 0.015726
[364/5000][200/535][37287] Loss_D: -0.029762 Loss_G: 0.012617 Loss_D_real: -0.015803 Loss_D_fake 0.013959
[364/5000][205/535][37288] Loss_D: -0.029746 Loss_G: 0.019954 Loss_D_real: -0.022569 Loss_D_fake 0.007176
[364/5000][210/535][37289] Loss_D: -0.030971 Loss_G: 0.008421 Loss_D_real: -0.014236 Loss_D_fake 0.016735
[364/5000][215/535][37290] Loss_D: -0.030732 Loss_G: 0.025393 Loss_D_real: -0.025390 Loss_D_fake 0.005342
[364/5000][220/535][37291] Loss_D: -0.030912 Loss_G: 0.021527 Loss_D_real: -0.025493 Loss_D_fake 0.005419
[364/5000][225/535][37292] Loss_D: -0.028513 Loss_G: -0.014845 Loss_D_real: 0.013711 Loss_D_fake 0.042224
[364/5000][230/535][37293] Loss_D: -0.030006 Loss_G: 0.013049 Loss_D_real: -0.024903 Loss_D_fake 0.005103
[364/5000][235/535][37294] Loss_D: -0.027813 Loss_G: 0.006820 Loss_D_real: -0.007212 Loss_D_fake 0.020601
[364/5000][240/535][37295] Loss_D: -0.030547 Loss_G: 0.017070 Loss_D_real: -0.023607 Loss_D_fake 0.006941
[364/5000][245/535][37296] Loss_D: -0.031315 Loss_G: 0.012867 Loss_D_real: -0.012757 Loss_D_fake 0.018558
[364/5000][250/535][37297] Loss_D: -0.029691 Loss_G: 0.030946 Loss_D_real: -0.019306 Loss_D_fake 0.010385
[364/5000][255/535][37298] Loss_D: -0.028185 Loss_G: -0.010528 Loss_D_real: 0.000511 Loss_D_fake 0.028696
[364/5000][260/535][37299] Loss_D: -0.029922 Loss_G: 0.029590 Loss_D_real: -0.042162 Loss_D_fake -0.012239
[364/5000][265/535][37300] Loss_D: -0.030481 Loss_G: 0.010258 Loss_D_real: -0.015495 Loss_D_fake 0.014986
[364/5000][270/535][37301] Loss_D: -0.029468 Loss_G: 0.031327 Loss_D_real: -0.024576 Loss_D_fake 0.004892
[364/5000][275/535][37302] Loss_D: -0.029766 Loss_G: 0.022376 Loss_D_real: -0.023009 Loss_D_fake 0.006757
[364/5000][280/535][37303] Loss_D: -0.030339 Loss_G: 0.018766 Loss_D_real: -0.025318 Loss_D_fake 0.005021
[364/5000][285/535][37304] Loss_D: -0.030501 Loss_G: 0.022989 Loss_D_real: -0.024449 Loss_D_fake 0.006053
[364/5000][290/535][37305] Loss_D: -0.030348 Loss_G: -0.001968 Loss_D_real: -0.009614 Loss_D_fake 0.020734
[364/5000][295/535][37306] Loss_D: -0.030788 Loss_G: 0.007187 Loss_D_real: -0.013922 Loss_D_fake 0.016866
[364/5000][300/535][37307] Loss_D: -0.029189 Loss_G: 0.015580 Loss_D_real: -0.011458 Loss_D_fake 0.017731
[364/5000][305/535][37308] Loss_D: -0.030115 Loss_G: 0.008694 Loss_D_real: -0.016685 Loss_D_fake 0.013430
[364/5000][310/535][37309] Loss_D: -0.028967 Loss_G: 0.029993 Loss_D_real: -0.032263 Loss_D_fake -0.003296
[364/5000][315/535][37310] Loss_D: -0.029034 Loss_G: 0.027610 Loss_D_real: -0.035612 Loss_D_fake -0.006578
[364/5000][320/535][37311] Loss_D: -0.028517 Loss_G: 0.008856 Loss_D_real: -0.018970 Loss_D_fake 0.009547
[364/5000][325/535][37312] Loss_D: -0.030582 Loss_G: 0.019129 Loss_D_real: -0.027383 Loss_D_fake 0.003199
[364/5000][330/535][37313] Loss_D: -0.030714 Loss_G: -0.002900 Loss_D_real: 0.001820 Loss_D_fake 0.032533
[364/5000][335/535][37314] Loss_D: -0.030454 Loss_G: -0.001890 Loss_D_real: -0.006674 Loss_D_fake 0.023780
[364/5000][340/535][37315] Loss_D: -0.030493 Loss_G: 0.012645 Loss_D_real: -0.013614 Loss_D_fake 0.016879
[364/5000][345/535][37316] Loss_D: -0.030629 Loss_G: 0.018977 Loss_D_real: -0.026501 Loss_D_fake 0.004128
[364/5000][350/535][37317] Loss_D: -0.030292 Loss_G: 0.032216 Loss_D_real: -0.018464 Loss_D_fake 0.011828
[364/5000][355/535][37318] Loss_D: -0.030998 Loss_G: 0.010727 Loss_D_real: -0.011161 Loss_D_fake 0.019837
[364/5000][360/535][37319] Loss_D: -0.028179 Loss_G: -0.012569 Loss_D_real: -0.001757 Loss_D_fake 0.026423
[364/5000][365/535][37320] Loss_D: -0.029601 Loss_G: 0.002821 Loss_D_real: -0.006651 Loss_D_fake 0.022950
[364/5000][370/535][37321] Loss_D: -0.029569 Loss_G: 0.021608 Loss_D_real: -0.024777 Loss_D_fake 0.004793
[364/5000][375/535][37322] Loss_D: -0.029582 Loss_G: 0.015509 Loss_D_real: -0.018785 Loss_D_fake 0.010796
[364/5000][380/535][37323] Loss_D: -0.029452 Loss_G: 0.036482 Loss_D_real: -0.029287 Loss_D_fake 0.000165
[364/5000][385/535][37324] Loss_D: -0.028451 Loss_G: -0.001785 Loss_D_real: -0.009418 Loss_D_fake 0.019033
[364/5000][390/535][37325] Loss_D: -0.027489 Loss_G: 0.039414 Loss_D_real: -0.032938 Loss_D_fake -0.005450
[364/5000][395/535][37326] Loss_D: -0.030125 Loss_G: 0.010187 Loss_D_real: -0.014376 Loss_D_fake 0.015749
[364/5000][400/535][37327] Loss_D: -0.031169 Loss_G: 0.019757 Loss_D_real: -0.036292 Loss_D_fake -0.005124
[364/5000][405/535][37328] Loss_D: -0.030915 Loss_G: 0.034097 Loss_D_real: -0.038146 Loss_D_fake -0.007230
[364/5000][410/535][37329] Loss_D: -0.030327 Loss_G: 0.028308 Loss_D_real: -0.020638 Loss_D_fake 0.009690
[364/5000][415/535][37330] Loss_D: -0.030670 Loss_G: 0.008094 Loss_D_real: -0.015415 Loss_D_fake 0.015255
[364/5000][420/535][37331] Loss_D: -0.029685 Loss_G: 0.011286 Loss_D_real: -0.012325 Loss_D_fake 0.017360
[364/5000][425/535][37332] Loss_D: -0.029315 Loss_G: 0.037294 Loss_D_real: -0.039409 Loss_D_fake -0.010094
[364/5000][430/535][37333] Loss_D: -0.028435 Loss_G: 0.036721 Loss_D_real: -0.044549 Loss_D_fake -0.016114
[364/5000][435/535][37334] Loss_D: -0.030128 Loss_G: 0.011119 Loss_D_real: -0.023246 Loss_D_fake 0.006883
[364/5000][440/535][37335] Loss_D: -0.030334 Loss_G: 0.012318 Loss_D_real: -0.004707 Loss_D_fake 0.025627
[364/5000][445/535][37336] Loss_D: -0.030075 Loss_G: 0.031010 Loss_D_real: -0.032611 Loss_D_fake -0.002536
[364/5000][450/535][37337] Loss_D: -0.030416 Loss_G: -0.007971 Loss_D_real: -0.004552 Loss_D_fake 0.025863
[364/5000][455/535][37338] Loss_D: -0.028696 Loss_G: 0.015619 Loss_D_real: -0.022483 Loss_D_fake 0.006213
[364/5000][460/535][37339] Loss_D: -0.030096 Loss_G: 0.007326 Loss_D_real: -0.012569 Loss_D_fake 0.017527
[364/5000][465/535][37340] Loss_D: -0.028989 Loss_G: 0.028697 Loss_D_real: -0.027050 Loss_D_fake 0.001939
[364/5000][470/535][37341] Loss_D: -0.029244 Loss_G: 0.038805 Loss_D_real: -0.030040 Loss_D_fake -0.000796
[364/5000][475/535][37342] Loss_D: -0.030583 Loss_G: 0.011894 Loss_D_real: -0.016931 Loss_D_fake 0.013652
[364/5000][480/535][37343] Loss_D: -0.030391 Loss_G: 0.027190 Loss_D_real: -0.032554 Loss_D_fake -0.002163
[364/5000][485/535][37344] Loss_D: -0.030608 Loss_G: -0.000155 Loss_D_real: 0.002316 Loss_D_fake 0.032924
[364/5000][490/535][37345] Loss_D: -0.029417 Loss_G: 0.019624 Loss_D_real: -0.027211 Loss_D_fake 0.002206
[364/5000][495/535][37346] Loss_D: -0.031040 Loss_G: 0.001008 Loss_D_real: -0.020973 Loss_D_fake 0.010067
[364/5000][500/535][37347] Loss_D: -0.028814 Loss_G: 0.034889 Loss_D_real: -0.035800 Loss_D_fake -0.006985
[364/5000][505/535][37348] Loss_D: -0.029729 Loss_G: -0.011375 Loss_D_real: -0.001204 Loss_D_fake 0.028525
[364/5000][510/535][37349] Loss_D: -0.029314 Loss_G: 0.008291 Loss_D_real: -0.016412 Loss_D_fake 0.012902
[364/5000][515/535][37350] Loss_D: -0.029616 Loss_G: 0.009529 Loss_D_real: -0.014970 Loss_D_fake 0.014646
[364/5000][520/535][37351] Loss_D: -0.030105 Loss_G: 0.035655 Loss_D_real: -0.036035 Loss_D_fake -0.005930
[364/5000][525/535][37352] Loss_D: -0.030394 Loss_G: 0.025223 Loss_D_real: -0.026019 Loss_D_fake 0.004374
[364/5000][530/535][37353] Loss_D: -0.029936 Loss_G: 0.029610 Loss_D_real: -0.023220 Loss_D_fake 0.006716
[364/5000][535/535][37354] Loss_D: -0.028583 Loss_G: -0.000854 Loss_D_real: -0.026852 Loss_D_fake 0.001731
[365/5000][5/535][37355] Loss_D: -0.030161 Loss_G: 0.029242 Loss_D_real: -0.022204 Loss_D_fake 0.007957
[365/5000][10/535][37356] Loss_D: -0.029464 Loss_G: 0.023586 Loss_D_real: -0.024755 Loss_D_fake 0.004708
[365/5000][15/535][37357] Loss_D: -0.030585 Loss_G: 0.035166 Loss_D_real: -0.026772 Loss_D_fake 0.003813
[365/5000][20/535][37358] Loss_D: -0.029022 Loss_G: 0.023704 Loss_D_real: -0.030280 Loss_D_fake -0.001257
[365/5000][25/535][37359] Loss_D: -0.029834 Loss_G: 0.020742 Loss_D_real: -0.022650 Loss_D_fake 0.007184
[365/5000][30/535][37360] Loss_D: -0.028613 Loss_G: 0.000392 Loss_D_real: -0.009210 Loss_D_fake 0.019404
[365/5000][35/535][37361] Loss_D: -0.029795 Loss_G: 0.012533 Loss_D_real: -0.023462 Loss_D_fake 0.006332
[365/5000][40/535][37362] Loss_D: -0.030589 Loss_G: 0.032243 Loss_D_real: -0.023598 Loss_D_fake 0.006990
[365/5000][45/535][37363] Loss_D: -0.030639 Loss_G: 0.006786 Loss_D_real: -0.011447 Loss_D_fake 0.019191
[365/5000][50/535][37364] Loss_D: -0.029572 Loss_G: 0.026110 Loss_D_real: -0.026739 Loss_D_fake 0.002833
[365/5000][55/535][37365] Loss_D: -0.028678 Loss_G: -0.013803 Loss_D_real: 0.001573 Loss_D_fake 0.030250
[365/5000][60/535][37366] Loss_D: -0.029505 Loss_G: 0.031111 Loss_D_real: -0.024370 Loss_D_fake 0.005136
[365/5000][65/535][37367] Loss_D: -0.029237 Loss_G: -0.006945 Loss_D_real: -0.005461 Loss_D_fake 0.023776
[365/5000][70/535][37368] Loss_D: -0.031548 Loss_G: 0.017030 Loss_D_real: -0.016752 Loss_D_fake 0.014796
[365/5000][75/535][37369] Loss_D: -0.030019 Loss_G: 0.010838 Loss_D_real: -0.018774 Loss_D_fake 0.011245
[365/5000][80/535][37370] Loss_D: -0.030543 Loss_G: 0.015867 Loss_D_real: -0.012630 Loss_D_fake 0.017914
[365/5000][85/535][37371] Loss_D: -0.029620 Loss_G: 0.017898 Loss_D_real: -0.021501 Loss_D_fake 0.008119
[365/5000][90/535][37372] Loss_D: -0.031354 Loss_G: 0.002675 Loss_D_real: -0.012712 Loss_D_fake 0.018642
[365/5000][95/535][37373] Loss_D: -0.029603 Loss_G: 0.034490 Loss_D_real: -0.026990 Loss_D_fake 0.002613
[365/5000][100/535][37374] Loss_D: -0.029728 Loss_G: 0.023946 Loss_D_real: -0.028814 Loss_D_fake 0.000915
[365/5000][105/535][37375] Loss_D: -0.030113 Loss_G: 0.014663 Loss_D_real: -0.022675 Loss_D_fake 0.007438
[365/5000][110/535][37376] Loss_D: -0.029311 Loss_G: 0.015571 Loss_D_real: -0.017797 Loss_D_fake 0.011514
[365/5000][115/535][37377] Loss_D: -0.029638 Loss_G: 0.027576 Loss_D_real: -0.028042 Loss_D_fake 0.001597
[365/5000][120/535][37378] Loss_D: -0.030317 Loss_G: -0.005047 Loss_D_real: -0.006973 Loss_D_fake 0.023344
[365/5000][125/535][37379] Loss_D: -0.028372 Loss_G: -0.001178 Loss_D_real: -0.008459 Loss_D_fake 0.019913
[365/5000][130/535][37380] Loss_D: -0.029240 Loss_G: 0.002240 Loss_D_real: -0.005672 Loss_D_fake 0.023568
[365/5000][135/535][37381] Loss_D: -0.030203 Loss_G: 0.027923 Loss_D_real: -0.018890 Loss_D_fake 0.011313
[365/5000][140/535][37382] Loss_D: -0.030492 Loss_G: 0.009025 Loss_D_real: -0.014359 Loss_D_fake 0.016133
[365/5000][145/535][37383] Loss_D: -0.030134 Loss_G: 0.002733 Loss_D_real: -0.013672 Loss_D_fake 0.016462
[365/5000][150/535][37384] Loss_D: -0.029658 Loss_G: -0.011417 Loss_D_real: -0.001929 Loss_D_fake 0.027729
[365/5000][155/535][37385] Loss_D: -0.031206 Loss_G: -0.011643 Loss_D_real: -0.008995 Loss_D_fake 0.022211
[365/5000][160/535][37386] Loss_D: -0.030078 Loss_G: 0.028680 Loss_D_real: -0.030915 Loss_D_fake -0.000837
[365/5000][165/535][37387] Loss_D: -0.030982 Loss_G: -0.010290 Loss_D_real: 0.005522 Loss_D_fake 0.036504
[365/5000][170/535][37388] Loss_D: -0.030491 Loss_G: 0.034955 Loss_D_real: -0.034343 Loss_D_fake -0.003851
[365/5000][175/535][37389] Loss_D: -0.030958 Loss_G: 0.005188 Loss_D_real: -0.015216 Loss_D_fake 0.015742
[365/5000][180/535][37390] Loss_D: -0.030546 Loss_G: 0.023300 Loss_D_real: -0.017954 Loss_D_fake 0.012592
[365/5000][185/535][37391] Loss_D: -0.032122 Loss_G: 0.005384 Loss_D_real: -0.007015 Loss_D_fake 0.025108
[365/5000][190/535][37392] Loss_D: -0.030292 Loss_G: 0.027526 Loss_D_real: -0.030423 Loss_D_fake -0.000132
[365/5000][195/535][37393] Loss_D: -0.030636 Loss_G: 0.032327 Loss_D_real: -0.035874 Loss_D_fake -0.005238
[365/5000][200/535][37394] Loss_D: -0.031052 Loss_G: 0.021957 Loss_D_real: -0.015109 Loss_D_fake 0.015942
[365/5000][205/535][37395] Loss_D: -0.030521 Loss_G: 0.019418 Loss_D_real: -0.019329 Loss_D_fake 0.011192
[365/5000][210/535][37396] Loss_D: -0.031451 Loss_G: 0.019992 Loss_D_real: -0.017020 Loss_D_fake 0.014430
[365/5000][215/535][37397] Loss_D: -0.030338 Loss_G: 0.012590 Loss_D_real: -0.010658 Loss_D_fake 0.019681
[365/5000][220/535][37398] Loss_D: -0.030045 Loss_G: 0.022499 Loss_D_real: -0.017781 Loss_D_fake 0.012264
[365/5000][225/535][37399] Loss_D: -0.028712 Loss_G: 0.028951 Loss_D_real: -0.032946 Loss_D_fake -0.004233
[365/5000][230/535][37400] Loss_D: -0.029786 Loss_G: 0.024075 Loss_D_real: -0.023860 Loss_D_fake 0.005926
[365/5000][235/535][37401] Loss_D: -0.030895 Loss_G: 0.023766 Loss_D_real: -0.033762 Loss_D_fake -0.002867
[365/5000][240/535][37402] Loss_D: -0.030858 Loss_G: 0.012050 Loss_D_real: -0.021666 Loss_D_fake 0.009192
[365/5000][245/535][37403] Loss_D: -0.030487 Loss_G: 0.003076 Loss_D_real: -0.012251 Loss_D_fake 0.018237
[365/5000][250/535][37404] Loss_D: -0.029460 Loss_G: -0.007344 Loss_D_real: -0.001903 Loss_D_fake 0.027557
[365/5000][255/535][37405] Loss_D: -0.028167 Loss_G: -0.005856 Loss_D_real: -0.003172 Loss_D_fake 0.024996
[365/5000][260/535][37406] Loss_D: -0.027235 Loss_G: 0.031047 Loss_D_real: -0.034101 Loss_D_fake -0.006866
[365/5000][265/535][37407] Loss_D: -0.028668 Loss_G: -0.004804 Loss_D_real: -0.001424 Loss_D_fake 0.027244
[365/5000][270/535][37408] Loss_D: -0.029278 Loss_G: 0.032968 Loss_D_real: -0.023519 Loss_D_fake 0.005759
[365/5000][275/535][37409] Loss_D: -0.028642 Loss_G: 0.008680 Loss_D_real: 0.000561 Loss_D_fake 0.029203
[365/5000][280/535][37410] Loss_D: -0.028398 Loss_G: 0.018413 Loss_D_real: -0.027553 Loss_D_fake 0.000846
[365/5000][285/535][37411] Loss_D: -0.027207 Loss_G: 0.038070 Loss_D_real: -0.041116 Loss_D_fake -0.013909
[365/5000][290/535][37412] Loss_D: -0.030038 Loss_G: 0.010575 Loss_D_real: -0.013385 Loss_D_fake 0.016653
[365/5000][295/535][37413] Loss_D: -0.028987 Loss_G: 0.020485 Loss_D_real: -0.027681 Loss_D_fake 0.001306
[365/5000][300/535][37414] Loss_D: -0.031199 Loss_G: 0.004176 Loss_D_real: -0.006500 Loss_D_fake 0.024698
[365/5000][305/535][37415] Loss_D: -0.030154 Loss_G: 0.010777 Loss_D_real: -0.027065 Loss_D_fake 0.003089
[365/5000][310/535][37416] Loss_D: -0.030174 Loss_G: 0.021194 Loss_D_real: -0.023507 Loss_D_fake 0.006667
[365/5000][315/535][37417] Loss_D: -0.029638 Loss_G: 0.017082 Loss_D_real: -0.020922 Loss_D_fake 0.008716
[365/5000][320/535][37418] Loss_D: -0.030384 Loss_G: 0.015795 Loss_D_real: -0.013966 Loss_D_fake 0.016418
[365/5000][325/535][37419] Loss_D: -0.030058 Loss_G: 0.023566 Loss_D_real: -0.019950 Loss_D_fake 0.010108
[365/5000][330/535][37420] Loss_D: -0.028871 Loss_G: 0.011112 Loss_D_real: -0.019981 Loss_D_fake 0.008890
[365/5000][335/535][37421] Loss_D: -0.029680 Loss_G: 0.040594 Loss_D_real: -0.038105 Loss_D_fake -0.008425
[365/5000][340/535][37422] Loss_D: -0.030242 Loss_G: 0.030557 Loss_D_real: -0.028065 Loss_D_fake 0.002178
[365/5000][345/535][37423] Loss_D: -0.030845 Loss_G: 0.012871 Loss_D_real: -0.016584 Loss_D_fake 0.014261
[365/5000][350/535][37424] Loss_D: -0.031138 Loss_G: 0.027906 Loss_D_real: -0.021401 Loss_D_fake 0.009736
[365/5000][355/535][37425] Loss_D: -0.030388 Loss_G: 0.012980 Loss_D_real: -0.010762 Loss_D_fake 0.019626
[365/5000][360/535][37426] Loss_D: -0.029129 Loss_G: 0.032045 Loss_D_real: -0.027548 Loss_D_fake 0.001581
[365/5000][365/535][37427] Loss_D: -0.031611 Loss_G: 0.018793 Loss_D_real: -0.023206 Loss_D_fake 0.008406
[365/5000][370/535][37428] Loss_D: -0.030842 Loss_G: 0.036167 Loss_D_real: -0.028964 Loss_D_fake 0.001879
[365/5000][375/535][37429] Loss_D: -0.030853 Loss_G: 0.010307 Loss_D_real: -0.022907 Loss_D_fake 0.007946
[365/5000][380/535][37430] Loss_D: -0.029701 Loss_G: 0.037074 Loss_D_real: -0.037838 Loss_D_fake -0.008136
[365/5000][385/535][37431] Loss_D: -0.029151 Loss_G: 0.020665 Loss_D_real: -0.014315 Loss_D_fake 0.014836
[365/5000][390/535][37432] Loss_D: -0.030833 Loss_G: 0.014567 Loss_D_real: -0.022324 Loss_D_fake 0.008508
[365/5000][395/535][37433] Loss_D: -0.030009 Loss_G: 0.024522 Loss_D_real: -0.023759 Loss_D_fake 0.006250
[365/5000][400/535][37434] Loss_D: -0.029820 Loss_G: 0.027842 Loss_D_real: -0.025926 Loss_D_fake 0.003894
[365/5000][405/535][37435] Loss_D: -0.029708 Loss_G: 0.022560 Loss_D_real: -0.021472 Loss_D_fake 0.008236
[365/5000][410/535][37436] Loss_D: -0.030228 Loss_G: 0.033450 Loss_D_real: -0.027065 Loss_D_fake 0.003163
[365/5000][415/535][37437] Loss_D: -0.029268 Loss_G: 0.024554 Loss_D_real: -0.031523 Loss_D_fake -0.002255
[365/5000][420/535][37438] Loss_D: -0.029783 Loss_G: 0.018245 Loss_D_real: -0.018639 Loss_D_fake 0.011144
[365/5000][425/535][37439] Loss_D: -0.030284 Loss_G: 0.018502 Loss_D_real: -0.022002 Loss_D_fake 0.008282
[365/5000][430/535][37440] Loss_D: -0.029431 Loss_G: 0.030779 Loss_D_real: -0.027861 Loss_D_fake 0.001569
[365/5000][435/535][37441] Loss_D: -0.029151 Loss_G: -0.008215 Loss_D_real: 0.000222 Loss_D_fake 0.029373
[365/5000][440/535][37442] Loss_D: -0.027493 Loss_G: 0.040389 Loss_D_real: -0.042958 Loss_D_fake -0.015465
[365/5000][445/535][37443] Loss_D: -0.030759 Loss_G: 0.010564 Loss_D_real: -0.010955 Loss_D_fake 0.019804
[365/5000][450/535][37444] Loss_D: -0.029391 Loss_G: 0.023291 Loss_D_real: -0.025701 Loss_D_fake 0.003690
[365/5000][455/535][37445] Loss_D: -0.030546 Loss_G: 0.003283 Loss_D_real: -0.006288 Loss_D_fake 0.024257
[365/5000][460/535][37446] Loss_D: -0.029577 Loss_G: 0.010516 Loss_D_real: -0.010981 Loss_D_fake 0.018596
[365/5000][465/535][37447] Loss_D: -0.029579 Loss_G: -0.013035 Loss_D_real: -0.009756 Loss_D_fake 0.019823
[365/5000][470/535][37448] Loss_D: -0.028174 Loss_G: 0.021271 Loss_D_real: -0.028852 Loss_D_fake -0.000678
[365/5000][475/535][37449] Loss_D: -0.029965 Loss_G: 0.008750 Loss_D_real: -0.007733 Loss_D_fake 0.022232
[365/5000][480/535][37450] Loss_D: -0.028591 Loss_G: 0.031382 Loss_D_real: -0.038629 Loss_D_fake -0.010038
[365/5000][485/535][37451] Loss_D: -0.030970 Loss_G: 0.015142 Loss_D_real: -0.018687 Loss_D_fake 0.012283
[365/5000][490/535][37452] Loss_D: -0.029847 Loss_G: 0.001183 Loss_D_real: -0.006702 Loss_D_fake 0.023145
[365/5000][495/535][37453] Loss_D: -0.028816 Loss_G: 0.024060 Loss_D_real: -0.022178 Loss_D_fake 0.006638
[365/5000][500/535][37454] Loss_D: -0.030821 Loss_G: -0.000810 Loss_D_real: -0.005637 Loss_D_fake 0.025184
[365/5000][505/535][37455] Loss_D: -0.029172 Loss_G: -0.004780 Loss_D_real: -0.006061 Loss_D_fake 0.023111
[365/5000][510/535][37456] Loss_D: -0.032150 Loss_G: 0.018924 Loss_D_real: -0.013694 Loss_D_fake 0.018456
[365/5000][515/535][37457] Loss_D: -0.028957 Loss_G: 0.039191 Loss_D_real: -0.031082 Loss_D_fake -0.002125
[365/5000][520/535][37458] Loss_D: -0.029725 Loss_G: 0.009382 Loss_D_real: -0.008624 Loss_D_fake 0.021101
[365/5000][525/535][37459] Loss_D: -0.030493 Loss_G: 0.008563 Loss_D_real: -0.010508 Loss_D_fake 0.019985
[365/5000][530/535][37460] Loss_D: -0.028541 Loss_G: 0.005545 Loss_D_real: -0.000770 Loss_D_fake 0.027772
[365/5000][535/535][37461] Loss_D: -0.028246 Loss_G: 0.035931 Loss_D_real: -0.039239 Loss_D_fake -0.010992
[366/5000][5/535][37462] Loss_D: -0.029787 Loss_G: 0.018648 Loss_D_real: -0.023328 Loss_D_fake 0.006459
[366/5000][10/535][37463] Loss_D: -0.027763 Loss_G: 0.033826 Loss_D_real: -0.035491 Loss_D_fake -0.007728
[366/5000][15/535][37464] Loss_D: -0.029666 Loss_G: 0.003841 Loss_D_real: -0.010557 Loss_D_fake 0.019109
[366/5000][20/535][37465] Loss_D: -0.029928 Loss_G: 0.022668 Loss_D_real: -0.027791 Loss_D_fake 0.002138
[366/5000][25/535][37466] Loss_D: -0.029863 Loss_G: 0.008715 Loss_D_real: -0.022962 Loss_D_fake 0.006901
[366/5000][30/535][37467] Loss_D: -0.030090 Loss_G: 0.031822 Loss_D_real: -0.029189 Loss_D_fake 0.000901
[366/5000][35/535][37468] Loss_D: -0.030777 Loss_G: 0.017488 Loss_D_real: -0.019047 Loss_D_fake 0.011730
[366/5000][40/535][37469] Loss_D: -0.028575 Loss_G: 0.023295 Loss_D_real: -0.016471 Loss_D_fake 0.012104
[366/5000][45/535][37470] Loss_D: -0.028901 Loss_G: 0.026158 Loss_D_real: -0.029296 Loss_D_fake -0.000395
[366/5000][50/535][37471] Loss_D: -0.030036 Loss_G: 0.021817 Loss_D_real: -0.023938 Loss_D_fake 0.006097
[366/5000][55/535][37472] Loss_D: -0.027598 Loss_G: 0.028331 Loss_D_real: -0.033610 Loss_D_fake -0.006012
[366/5000][60/535][37473] Loss_D: -0.029027 Loss_G: 0.026942 Loss_D_real: -0.020266 Loss_D_fake 0.008761
[366/5000][65/535][37474] Loss_D: -0.028099 Loss_G: 0.027168 Loss_D_real: -0.036052 Loss_D_fake -0.007953
[366/5000][70/535][37475] Loss_D: -0.029611 Loss_G: -0.003070 Loss_D_real: -0.017138 Loss_D_fake 0.012473
[366/5000][75/535][37476] Loss_D: -0.026888 Loss_G: 0.031321 Loss_D_real: -0.035368 Loss_D_fake -0.008480
[366/5000][80/535][37477] Loss_D: -0.026319 Loss_G: 0.033720 Loss_D_real: -0.039087 Loss_D_fake -0.012768
[366/5000][85/535][37478] Loss_D: -0.030501 Loss_G: 0.024801 Loss_D_real: -0.019605 Loss_D_fake 0.010896
[366/5000][90/535][37479] Loss_D: -0.029350 Loss_G: 0.041564 Loss_D_real: -0.025395 Loss_D_fake 0.003955
[366/5000][95/535][37480] Loss_D: -0.030451 Loss_G: 0.005781 Loss_D_real: -0.016322 Loss_D_fake 0.014129
[366/5000][100/535][37481] Loss_D: -0.031542 Loss_G: 0.007384 Loss_D_real: -0.018867 Loss_D_fake 0.012675
[366/5000][105/535][37482] Loss_D: -0.031102 Loss_G: 0.005954 Loss_D_real: -0.009978 Loss_D_fake 0.021124
[366/5000][110/535][37483] Loss_D: -0.030541 Loss_G: 0.026978 Loss_D_real: -0.031085 Loss_D_fake -0.000543
[366/5000][115/535][37484] Loss_D: -0.030279 Loss_G: 0.030522 Loss_D_real: -0.027525 Loss_D_fake 0.002755
[366/5000][120/535][37485] Loss_D: -0.030821 Loss_G: 0.016907 Loss_D_real: -0.018498 Loss_D_fake 0.012323
[366/5000][125/535][37486] Loss_D: -0.030938 Loss_G: 0.008683 Loss_D_real: -0.019235 Loss_D_fake 0.011703
[366/5000][130/535][37487] Loss_D: -0.032048 Loss_G: 0.020388 Loss_D_real: -0.022545 Loss_D_fake 0.009503
[366/5000][135/535][37488] Loss_D: -0.030211 Loss_G: 0.034729 Loss_D_real: -0.028812 Loss_D_fake 0.001399
[366/5000][140/535][37489] Loss_D: -0.029689 Loss_G: -0.015118 Loss_D_real: -0.003659 Loss_D_fake 0.026029
[366/5000][145/535][37490] Loss_D: -0.028735 Loss_G: 0.028483 Loss_D_real: -0.026917 Loss_D_fake 0.001818
[366/5000][150/535][37491] Loss_D: -0.029373 Loss_G: 0.012539 Loss_D_real: -0.013560 Loss_D_fake 0.015813
[366/5000][155/535][37492] Loss_D: -0.030170 Loss_G: -0.003304 Loss_D_real: -0.011539 Loss_D_fake 0.018630
[366/5000][160/535][37493] Loss_D: -0.028702 Loss_G: 0.021427 Loss_D_real: -0.027279 Loss_D_fake 0.001424
[366/5000][165/535][37494] Loss_D: -0.030176 Loss_G: 0.005513 Loss_D_real: -0.004008 Loss_D_fake 0.026168
[366/5000][170/535][37495] Loss_D: -0.029672 Loss_G: 0.029249 Loss_D_real: -0.033423 Loss_D_fake -0.003751
[366/5000][175/535][37496] Loss_D: -0.029527 Loss_G: 0.015347 Loss_D_real: -0.013680 Loss_D_fake 0.015847
[366/5000][180/535][37497] Loss_D: -0.030315 Loss_G: 0.020736 Loss_D_real: -0.027163 Loss_D_fake 0.003152
[366/5000][185/535][37498] Loss_D: -0.031180 Loss_G: 0.011182 Loss_D_real: -0.018916 Loss_D_fake 0.012264
[366/5000][190/535][37499] Loss_D: -0.032302 Loss_G: 0.037683 Loss_D_real: -0.030473 Loss_D_fake 0.001829
[366/5000][195/535][37500] Loss_D: -0.029079 Loss_G: -0.000949 Loss_D_real: -0.005102 Loss_D_fake 0.023977
[366/5000][295/535][37501] Loss_D: -0.030839 Loss_G: -0.020629 Loss_D_real: -0.004230 Loss_D_fake 0.026609
[366/5000][300/535][37502] Loss_D: -0.030040 Loss_G: 0.005395 Loss_D_real: -0.012349 Loss_D_fake 0.017690
[366/5000][305/535][37503] Loss_D: -0.027148 Loss_G: -0.002065 Loss_D_real: -0.006311 Loss_D_fake 0.020837
[366/5000][310/535][37504] Loss_D: -0.028807 Loss_G: 0.017272 Loss_D_real: -0.023871 Loss_D_fake 0.004937
[366/5000][315/535][37505] Loss_D: -0.028540 Loss_G: 0.013733 Loss_D_real: -0.017646 Loss_D_fake 0.010894
[366/5000][320/535][37506] Loss_D: -0.028556 Loss_G: 0.014212 Loss_D_real: -0.017006 Loss_D_fake 0.011550
[366/5000][325/535][37507] Loss_D: -0.028859 Loss_G: 0.019438 Loss_D_real: -0.019768 Loss_D_fake 0.009091
[366/5000][330/535][37508] Loss_D: -0.029224 Loss_G: 0.001064 Loss_D_real: -0.014781 Loss_D_fake 0.014443
[366/5000][335/535][37509] Loss_D: -0.028416 Loss_G: 0.003960 Loss_D_real: -0.015198 Loss_D_fake 0.013219
[366/5000][340/535][37510] Loss_D: -0.028898 Loss_G: 0.017645 Loss_D_real: -0.013452 Loss_D_fake 0.015446
[366/5000][345/535][37511] Loss_D: -0.029869 Loss_G: 0.036985 Loss_D_real: -0.029756 Loss_D_fake 0.000113
[366/5000][350/535][37512] Loss_D: -0.031426 Loss_G: 0.021345 Loss_D_real: -0.014533 Loss_D_fake 0.016893
[366/5000][355/535][37513] Loss_D: -0.030226 Loss_G: 0.030466 Loss_D_real: -0.026819 Loss_D_fake 0.003407
[366/5000][360/535][37514] Loss_D: -0.029914 Loss_G: 0.025670 Loss_D_real: -0.026966 Loss_D_fake 0.002948
[366/5000][365/535][37515] Loss_D: -0.030726 Loss_G: 0.028877 Loss_D_real: -0.023898 Loss_D_fake 0.006828
[366/5000][370/535][37516] Loss_D: -0.030066 Loss_G: 0.003353 Loss_D_real: -0.012778 Loss_D_fake 0.017288
[366/5000][375/535][37517] Loss_D: -0.029829 Loss_G: 0.012784 Loss_D_real: -0.023137 Loss_D_fake 0.006692
[366/5000][380/535][37518] Loss_D: -0.028617 Loss_G: 0.019831 Loss_D_real: -0.020016 Loss_D_fake 0.008601
[366/5000][385/535][37519] Loss_D: -0.029142 Loss_G: 0.004087 Loss_D_real: -0.007296 Loss_D_fake 0.021846
[366/5000][390/535][37520] Loss_D: -0.029057 Loss_G: 0.032944 Loss_D_real: -0.030172 Loss_D_fake -0.001116
[366/5000][395/535][37521] Loss_D: -0.029744 Loss_G: 0.015619 Loss_D_real: -0.016422 Loss_D_fake 0.013322
[366/5000][400/535][37522] Loss_D: -0.030872 Loss_G: 0.016549 Loss_D_real: -0.019064 Loss_D_fake 0.011808
[366/5000][405/535][37523] Loss_D: -0.030279 Loss_G: 0.023324 Loss_D_real: -0.026443 Loss_D_fake 0.003836
[366/5000][410/535][37524] Loss_D: -0.029106 Loss_G: 0.006203 Loss_D_real: -0.015040 Loss_D_fake 0.014066
[366/5000][415/535][37525] Loss_D: -0.028970 Loss_G: 0.036063 Loss_D_real: -0.021295 Loss_D_fake 0.007675
[366/5000][420/535][37526] Loss_D: -0.030562 Loss_G: 0.012497 Loss_D_real: -0.020742 Loss_D_fake 0.009820
[366/5000][425/535][37527] Loss_D: -0.029465 Loss_G: 0.012249 Loss_D_real: -0.015109 Loss_D_fake 0.014356
[366/5000][430/535][37528] Loss_D: -0.030336 Loss_G: 0.002259 Loss_D_real: -0.013858 Loss_D_fake 0.016478
[366/5000][435/535][37529] Loss_D: -0.030405 Loss_G: 0.015715 Loss_D_real: -0.016909 Loss_D_fake 0.013496
[366/5000][440/535][37530] Loss_D: -0.030445 Loss_G: -0.005626 Loss_D_real: -0.013404 Loss_D_fake 0.017041
[366/5000][445/535][37531] Loss_D: -0.030899 Loss_G: 0.030823 Loss_D_real: -0.030636 Loss_D_fake 0.000263
[366/5000][450/535][37532] Loss_D: -0.030190 Loss_G: 0.024664 Loss_D_real: -0.027827 Loss_D_fake 0.002363
[366/5000][455/535][37533] Loss_D: -0.028417 Loss_G: 0.034882 Loss_D_real: -0.034950 Loss_D_fake -0.006532
[366/5000][460/535][37534] Loss_D: -0.029129 Loss_G: -0.003357 Loss_D_real: -0.001332 Loss_D_fake 0.027797
[366/5000][465/535][37535] Loss_D: -0.029400 Loss_G: 0.019179 Loss_D_real: -0.013753 Loss_D_fake 0.015648
[366/5000][470/535][37536] Loss_D: -0.028780 Loss_G: -0.015770 Loss_D_real: -0.004861 Loss_D_fake 0.023918
[366/5000][475/535][37537] Loss_D: -0.027966 Loss_G: 0.035022 Loss_D_real: -0.031849 Loss_D_fake -0.003883
[366/5000][480/535][37538] Loss_D: -0.028779 Loss_G: 0.002144 Loss_D_real: -0.015181 Loss_D_fake 0.013597
[366/5000][485/535][37539] Loss_D: -0.030655 Loss_G: 0.019761 Loss_D_real: -0.022189 Loss_D_fake 0.008466
[366/5000][490/535][37540] Loss_D: -0.030031 Loss_G: -0.000865 Loss_D_real: -0.010313 Loss_D_fake 0.019719
[366/5000][495/535][37541] Loss_D: -0.028865 Loss_G: 0.025060 Loss_D_real: -0.021063 Loss_D_fake 0.007802
[366/5000][500/535][37542] Loss_D: -0.030029 Loss_G: 0.001149 Loss_D_real: -0.014350 Loss_D_fake 0.015679
[366/5000][505/535][37543] Loss_D: -0.029598 Loss_G: 0.012617 Loss_D_real: -0.019889 Loss_D_fake 0.009708
[366/5000][510/535][37544] Loss_D: -0.030581 Loss_G: 0.015152 Loss_D_real: -0.018383 Loss_D_fake 0.012199
[366/5000][515/535][37545] Loss_D: -0.031032 Loss_G: 0.030709 Loss_D_real: -0.023887 Loss_D_fake 0.007145
[366/5000][520/535][37546] Loss_D: -0.029760 Loss_G: 0.006926 Loss_D_real: -0.014096 Loss_D_fake 0.015664
[366/5000][525/535][37547] Loss_D: -0.030279 Loss_G: 0.035164 Loss_D_real: -0.030010 Loss_D_fake 0.000269
[366/5000][530/535][37548] Loss_D: -0.030485 Loss_G: 0.018605 Loss_D_real: -0.021144 Loss_D_fake 0.009342
[366/5000][535/535][37549] Loss_D: -0.028203 Loss_G: 0.017393 Loss_D_real: -0.023840 Loss_D_fake 0.004363
[367/5000][5/535][37550] Loss_D: -0.029318 Loss_G: 0.010135 Loss_D_real: -0.010016 Loss_D_fake 0.019302
[367/5000][10/535][37551] Loss_D: -0.029191 Loss_G: 0.029215 Loss_D_real: -0.033836 Loss_D_fake -0.004645
[367/5000][15/535][37552] Loss_D: -0.030770 Loss_G: 0.028721 Loss_D_real: -0.028849 Loss_D_fake 0.001921
[367/5000][20/535][37553] Loss_D: -0.030717 Loss_G: 0.010317 Loss_D_real: -0.011685 Loss_D_fake 0.019032
[367/5000][25/535][37554] Loss_D: -0.030082 Loss_G: 0.001727 Loss_D_real: -0.009109 Loss_D_fake 0.020973
[367/5000][30/535][37555] Loss_D: -0.029667 Loss_G: 0.033686 Loss_D_real: -0.027100 Loss_D_fake 0.002567
[367/5000][35/535][37556] Loss_D: -0.030631 Loss_G: 0.015681 Loss_D_real: -0.032489 Loss_D_fake -0.001858
[367/5000][40/535][37557] Loss_D: -0.030402 Loss_G: 0.012297 Loss_D_real: -0.015673 Loss_D_fake 0.014730
[367/5000][45/535][37558] Loss_D: -0.030319 Loss_G: 0.023123 Loss_D_real: -0.023074 Loss_D_fake 0.007245
[367/5000][50/535][37559] Loss_D: -0.030997 Loss_G: 0.013029 Loss_D_real: -0.019567 Loss_D_fake 0.011431
[367/5000][55/535][37560] Loss_D: -0.029687 Loss_G: 0.009318 Loss_D_real: -0.023053 Loss_D_fake 0.006634
[367/5000][60/535][37561] Loss_D: -0.028728 Loss_G: 0.029515 Loss_D_real: -0.029507 Loss_D_fake -0.000780
[367/5000][65/535][37562] Loss_D: -0.029423 Loss_G: -0.006312 Loss_D_real: 0.000320 Loss_D_fake 0.029744
[367/5000][70/535][37563] Loss_D: -0.029119 Loss_G: 0.029592 Loss_D_real: -0.028420 Loss_D_fake 0.000699
[367/5000][75/535][37564] Loss_D: -0.029511 Loss_G: 0.020907 Loss_D_real: -0.019786 Loss_D_fake 0.009724
[367/5000][80/535][37565] Loss_D: -0.030765 Loss_G: 0.031176 Loss_D_real: -0.021463 Loss_D_fake 0.009301
[367/5000][85/535][37566] Loss_D: -0.028366 Loss_G: -0.009021 Loss_D_real: -0.009853 Loss_D_fake 0.018513
[367/5000][90/535][37567] Loss_D: -0.028404 Loss_G: 0.012797 Loss_D_real: -0.017944 Loss_D_fake 0.010460
[367/5000][95/535][37568] Loss_D: -0.028502 Loss_G: 0.005814 Loss_D_real: -0.004406 Loss_D_fake 0.024096
[367/5000][100/535][37569] Loss_D: -0.027964 Loss_G: 0.009675 Loss_D_real: -0.008068 Loss_D_fake 0.019896
[367/5000][105/535][37570] Loss_D: -0.028698 Loss_G: 0.040749 Loss_D_real: -0.039570 Loss_D_fake -0.010871
[367/5000][110/535][37571] Loss_D: -0.030219 Loss_G: 0.011377 Loss_D_real: -0.019643 Loss_D_fake 0.010576
[367/5000][115/535][37572] Loss_D: -0.030454 Loss_G: 0.023535 Loss_D_real: -0.022895 Loss_D_fake 0.007559
[367/5000][120/535][37573] Loss_D: -0.031220 Loss_G: 0.008613 Loss_D_real: -0.010626 Loss_D_fake 0.020593
[367/5000][125/535][37574] Loss_D: -0.030418 Loss_G: 0.031859 Loss_D_real: -0.030262 Loss_D_fake 0.000156
[367/5000][130/535][37575] Loss_D: -0.030963 Loss_G: 0.007373 Loss_D_real: -0.018437 Loss_D_fake 0.012526
[367/5000][135/535][37576] Loss_D: -0.029738 Loss_G: 0.031099 Loss_D_real: -0.028561 Loss_D_fake 0.001177
[367/5000][140/535][37577] Loss_D: -0.029654 Loss_G: -0.007799 Loss_D_real: -0.000978 Loss_D_fake 0.028675
[367/5000][145/535][37578] Loss_D: -0.029691 Loss_G: 0.028692 Loss_D_real: -0.029090 Loss_D_fake 0.000602
[367/5000][150/535][37579] Loss_D: -0.028924 Loss_G: 0.035886 Loss_D_real: -0.036633 Loss_D_fake -0.007709
[367/5000][155/535][37580] Loss_D: -0.027420 Loss_G: -0.007763 Loss_D_real: -0.002349 Loss_D_fake 0.025071
[367/5000][160/535][37581] Loss_D: -0.029714 Loss_G: 0.029937 Loss_D_real: -0.032574 Loss_D_fake -0.002861
[367/5000][165/535][37582] Loss_D: -0.031785 Loss_G: 0.006773 Loss_D_real: -0.010811 Loss_D_fake 0.020974
[367/5000][170/535][37583] Loss_D: -0.029595 Loss_G: 0.014209 Loss_D_real: -0.020178 Loss_D_fake 0.009417
[367/5000][175/535][37584] Loss_D: -0.029839 Loss_G: 0.026715 Loss_D_real: -0.027628 Loss_D_fake 0.002211
[367/5000][180/535][37585] Loss_D: -0.029055 Loss_G: 0.012258 Loss_D_real: -0.015831 Loss_D_fake 0.013224
[367/5000][185/535][37586] Loss_D: -0.028996 Loss_G: 0.039449 Loss_D_real: -0.035501 Loss_D_fake -0.006506
[367/5000][190/535][37587] Loss_D: -0.028858 Loss_G: 0.001857 Loss_D_real: -0.005789 Loss_D_fake 0.023068
[367/5000][195/535][37588] Loss_D: -0.026959 Loss_G: 0.040138 Loss_D_real: -0.046339 Loss_D_fake -0.019380
[367/5000][200/535][37589] Loss_D: -0.028763 Loss_G: 0.005389 Loss_D_real: -0.013008 Loss_D_fake 0.015755
[367/5000][205/535][37590] Loss_D: -0.030396 Loss_G: 0.022798 Loss_D_real: -0.020810 Loss_D_fake 0.009586
[367/5000][210/535][37591] Loss_D: -0.030318 Loss_G: 0.021459 Loss_D_real: -0.012428 Loss_D_fake 0.017890
[367/5000][215/535][37592] Loss_D: -0.030308 Loss_G: 0.003232 Loss_D_real: -0.015180 Loss_D_fake 0.015128
[367/5000][220/535][37593] Loss_D: -0.028899 Loss_G: 0.004480 Loss_D_real: -0.018587 Loss_D_fake 0.010312
[367/5000][225/535][37594] Loss_D: -0.030345 Loss_G: 0.009428 Loss_D_real: -0.021027 Loss_D_fake 0.009318
[367/5000][230/535][37595] Loss_D: -0.026832 Loss_G: 0.034692 Loss_D_real: -0.043513 Loss_D_fake -0.016681
[367/5000][235/535][37596] Loss_D: -0.030334 Loss_G: 0.019358 Loss_D_real: -0.017482 Loss_D_fake 0.012852
[367/5000][240/535][37597] Loss_D: -0.029582 Loss_G: 0.020962 Loss_D_real: -0.021950 Loss_D_fake 0.007632
[367/5000][245/535][37598] Loss_D: -0.029533 Loss_G: 0.017917 Loss_D_real: -0.024903 Loss_D_fake 0.004630
[367/5000][250/535][37599] Loss_D: -0.030280 Loss_G: 0.023418 Loss_D_real: -0.026986 Loss_D_fake 0.003295
[367/5000][255/535][37600] Loss_D: -0.029689 Loss_G: 0.008398 Loss_D_real: -0.018492 Loss_D_fake 0.011196
[367/5000][260/535][37601] Loss_D: -0.030598 Loss_G: -0.001292 Loss_D_real: -0.011179 Loss_D_fake 0.019419
[367/5000][265/535][37602] Loss_D: -0.030838 Loss_G: 0.025847 Loss_D_real: -0.023990 Loss_D_fake 0.006848
[367/5000][270/535][37603] Loss_D: -0.029751 Loss_G: 0.026039 Loss_D_real: -0.025488 Loss_D_fake 0.004263
[367/5000][275/535][37604] Loss_D: -0.029813 Loss_G: 0.019489 Loss_D_real: -0.025239 Loss_D_fake 0.004574
[367/5000][280/535][37605] Loss_D: -0.028026 Loss_G: 0.023784 Loss_D_real: -0.029672 Loss_D_fake -0.001646
[367/5000][285/535][37606] Loss_D: -0.029168 Loss_G: 0.013062 Loss_D_real: -0.014522 Loss_D_fake 0.014646
[367/5000][290/535][37607] Loss_D: -0.030131 Loss_G: 0.006550 Loss_D_real: -0.010308 Loss_D_fake 0.019823
[367/5000][295/535][37608] Loss_D: -0.027427 Loss_G: 0.035771 Loss_D_real: -0.042141 Loss_D_fake -0.014714
[367/5000][300/535][37609] Loss_D: -0.030448 Loss_G: 0.019071 Loss_D_real: -0.011843 Loss_D_fake 0.018605
[367/5000][305/535][37610] Loss_D: -0.031045 Loss_G: 0.007037 Loss_D_real: -0.013355 Loss_D_fake 0.017690
[367/5000][310/535][37611] Loss_D: -0.029551 Loss_G: 0.039128 Loss_D_real: -0.027885 Loss_D_fake 0.001666
[367/5000][315/535][37612] Loss_D: -0.029807 Loss_G: 0.020631 Loss_D_real: -0.023795 Loss_D_fake 0.006012
[367/5000][320/535][37613] Loss_D: -0.029765 Loss_G: 0.010120 Loss_D_real: -0.010362 Loss_D_fake 0.019403
[367/5000][325/535][37614] Loss_D: -0.029815 Loss_G: -0.006788 Loss_D_real: -0.008795 Loss_D_fake 0.021020
[367/5000][330/535][37615] Loss_D: -0.027810 Loss_G: 0.034469 Loss_D_real: -0.032072 Loss_D_fake -0.004262
[367/5000][335/535][37616] Loss_D: -0.030204 Loss_G: 0.022098 Loss_D_real: -0.019948 Loss_D_fake 0.010256
[367/5000][340/535][37617] Loss_D: -0.031795 Loss_G: 0.013221 Loss_D_real: -0.014547 Loss_D_fake 0.017248
[367/5000][345/535][37618] Loss_D: -0.030816 Loss_G: 0.019786 Loss_D_real: -0.016400 Loss_D_fake 0.014417
[367/5000][350/535][37619] Loss_D: -0.029277 Loss_G: -0.011439 Loss_D_real: -0.005537 Loss_D_fake 0.023740
[367/5000][355/535][37620] Loss_D: -0.028968 Loss_G: 0.023601 Loss_D_real: -0.029623 Loss_D_fake -0.000655
[367/5000][360/535][37621] Loss_D: -0.029643 Loss_G: 0.005980 Loss_D_real: -0.009280 Loss_D_fake 0.020363
[367/5000][365/535][37622] Loss_D: -0.031119 Loss_G: 0.015149 Loss_D_real: -0.023009 Loss_D_fake 0.008110
[367/5000][370/535][37623] Loss_D: -0.030932 Loss_G: 0.020021 Loss_D_real: -0.020451 Loss_D_fake 0.010481
[367/5000][375/535][37624] Loss_D: -0.031498 Loss_G: 0.013609 Loss_D_real: -0.015076 Loss_D_fake 0.016423
[367/5000][380/535][37625] Loss_D: -0.030754 Loss_G: 0.030411 Loss_D_real: -0.036009 Loss_D_fake -0.005254
[367/5000][385/535][37626] Loss_D: -0.029585 Loss_G: -0.001612 Loss_D_real: -0.004062 Loss_D_fake 0.025523
[367/5000][390/535][37627] Loss_D: -0.028959 Loss_G: 0.010301 Loss_D_real: -0.016926 Loss_D_fake 0.012033
[367/5000][395/535][37628] Loss_D: -0.029185 Loss_G: 0.018302 Loss_D_real: -0.018067 Loss_D_fake 0.011118
[367/5000][400/535][37629] Loss_D: -0.029037 Loss_G: 0.031007 Loss_D_real: -0.037899 Loss_D_fake -0.008862
[367/5000][405/535][37630] Loss_D: -0.030852 Loss_G: 0.008949 Loss_D_real: -0.015617 Loss_D_fake 0.015235
[367/5000][410/535][37631] Loss_D: -0.030134 Loss_G: 0.020763 Loss_D_real: -0.025863 Loss_D_fake 0.004270
[367/5000][415/535][37632] Loss_D: -0.029386 Loss_G: 0.045661 Loss_D_real: -0.031649 Loss_D_fake -0.002263
[367/5000][420/535][37633] Loss_D: -0.028784 Loss_G: 0.002406 Loss_D_real: -0.006483 Loss_D_fake 0.022301
[367/5000][425/535][37634] Loss_D: -0.029000 Loss_G: 0.015211 Loss_D_real: -0.025041 Loss_D_fake 0.003959
[367/5000][430/535][37635] Loss_D: -0.029220 Loss_G: 0.033116 Loss_D_real: -0.024347 Loss_D_fake 0.004873
[367/5000][435/535][37636] Loss_D: -0.030152 Loss_G: 0.013169 Loss_D_real: -0.021202 Loss_D_fake 0.008950
[367/5000][440/535][37637] Loss_D: -0.028554 Loss_G: -0.013710 Loss_D_real: 0.003226 Loss_D_fake 0.031781
[367/5000][445/535][37638] Loss_D: -0.028876 Loss_G: 0.011734 Loss_D_real: -0.024775 Loss_D_fake 0.004101
[367/5000][450/535][37639] Loss_D: -0.030503 Loss_G: 0.022621 Loss_D_real: -0.022295 Loss_D_fake 0.008208
[367/5000][455/535][37640] Loss_D: -0.030669 Loss_G: 0.013172 Loss_D_real: -0.013551 Loss_D_fake 0.017117
[367/5000][460/535][37641] Loss_D: -0.029227 Loss_G: 0.001296 Loss_D_real: -0.011131 Loss_D_fake 0.018096
[367/5000][465/535][37642] Loss_D: -0.029154 Loss_G: 0.040620 Loss_D_real: -0.029335 Loss_D_fake -0.000180
[367/5000][470/535][37643] Loss_D: -0.031020 Loss_G: -0.001148 Loss_D_real: 0.001694 Loss_D_fake 0.032714
[367/5000][475/535][37644] Loss_D: -0.029649 Loss_G: 0.009239 Loss_D_real: -0.020315 Loss_D_fake 0.009335
[367/5000][480/535][37645] Loss_D: -0.028441 Loss_G: 0.027442 Loss_D_real: -0.040118 Loss_D_fake -0.011677
[367/5000][485/535][37646] Loss_D: -0.031283 Loss_G: 0.003976 Loss_D_real: -0.008948 Loss_D_fake 0.022335
[367/5000][490/535][37647] Loss_D: -0.030200 Loss_G: 0.016024 Loss_D_real: -0.029752 Loss_D_fake 0.000448
[367/5000][495/535][37648] Loss_D: -0.031273 Loss_G: 0.002165 Loss_D_real: -0.006987 Loss_D_fake 0.024286
[367/5000][500/535][37649] Loss_D: -0.029473 Loss_G: 0.024626 Loss_D_real: -0.025908 Loss_D_fake 0.003566
[367/5000][505/535][37650] Loss_D: -0.030895 Loss_G: 0.011157 Loss_D_real: -0.014691 Loss_D_fake 0.016204
[367/5000][510/535][37651] Loss_D: -0.026604 Loss_G: 0.039968 Loss_D_real: -0.042528 Loss_D_fake -0.015925
[367/5000][515/535][37652] Loss_D: -0.031182 Loss_G: 0.022614 Loss_D_real: -0.023882 Loss_D_fake 0.007301
[367/5000][520/535][37653] Loss_D: -0.031481 Loss_G: 0.014863 Loss_D_real: -0.019869 Loss_D_fake 0.011612
[367/5000][525/535][37654] Loss_D: -0.030816 Loss_G: 0.020024 Loss_D_real: -0.026595 Loss_D_fake 0.004221
[367/5000][530/535][37655] Loss_D: -0.031377 Loss_G: -0.001032 Loss_D_real: -0.007450 Loss_D_fake 0.023927
[367/5000][535/535][37656] Loss_D: -0.029599 Loss_G: 0.024296 Loss_D_real: -0.036549 Loss_D_fake -0.006950
[368/5000][5/535][37657] Loss_D: -0.029692 Loss_G: 0.018189 Loss_D_real: -0.020306 Loss_D_fake 0.009386
[368/5000][10/535][37658] Loss_D: -0.029324 Loss_G: 0.025089 Loss_D_real: -0.023823 Loss_D_fake 0.005502
[368/5000][15/535][37659] Loss_D: -0.029626 Loss_G: 0.016647 Loss_D_real: -0.019563 Loss_D_fake 0.010063
[368/5000][20/535][37660] Loss_D: -0.030676 Loss_G: -0.003041 Loss_D_real: -0.000241 Loss_D_fake 0.030435
[368/5000][25/535][37661] Loss_D: -0.030896 Loss_G: 0.002092 Loss_D_real: -0.002408 Loss_D_fake 0.028488
[368/5000][30/535][37662] Loss_D: -0.029324 Loss_G: 0.009306 Loss_D_real: -0.016674 Loss_D_fake 0.012650
[368/5000][35/535][37663] Loss_D: -0.030091 Loss_G: 0.019661 Loss_D_real: -0.026947 Loss_D_fake 0.003144
[368/5000][40/535][37664] Loss_D: -0.031188 Loss_G: 0.030577 Loss_D_real: -0.026980 Loss_D_fake 0.004208
[368/5000][45/535][37665] Loss_D: -0.028461 Loss_G: 0.042224 Loss_D_real: -0.033814 Loss_D_fake -0.005353
[368/5000][50/535][37666] Loss_D: -0.028383 Loss_G: 0.000568 Loss_D_real: -0.017481 Loss_D_fake 0.010902
[368/5000][55/535][37667] Loss_D: -0.028827 Loss_G: 0.015213 Loss_D_real: -0.028883 Loss_D_fake -0.000056
[368/5000][60/535][37668] Loss_D: -0.029027 Loss_G: 0.016288 Loss_D_real: -0.025235 Loss_D_fake 0.003792
[368/5000][65/535][37669] Loss_D: -0.030628 Loss_G: 0.017471 Loss_D_real: -0.020968 Loss_D_fake 0.009660
[368/5000][70/535][37670] Loss_D: -0.028158 Loss_G: 0.029126 Loss_D_real: -0.030987 Loss_D_fake -0.002829
[368/5000][75/535][37671] Loss_D: -0.029904 Loss_G: 0.011919 Loss_D_real: -0.014975 Loss_D_fake 0.014929
[368/5000][80/535][37672] Loss_D: -0.029568 Loss_G: 0.041187 Loss_D_real: -0.033274 Loss_D_fake -0.003706
[368/5000][85/535][37673] Loss_D: -0.030297 Loss_G: 0.003478 Loss_D_real: -0.007655 Loss_D_fake 0.022642
[368/5000][90/535][37674] Loss_D: -0.027914 Loss_G: 0.041344 Loss_D_real: -0.039532 Loss_D_fake -0.011618
[368/5000][95/535][37675] Loss_D: -0.029020 Loss_G: 0.019024 Loss_D_real: -0.023814 Loss_D_fake 0.005206
[368/5000][100/535][37676] Loss_D: -0.029301 Loss_G: -0.002436 Loss_D_real: -0.000645 Loss_D_fake 0.028656
[368/5000][105/535][37677] Loss_D: -0.030135 Loss_G: 0.022365 Loss_D_real: -0.025366 Loss_D_fake 0.004770
[368/5000][110/535][37678] Loss_D: -0.030152 Loss_G: 0.015544 Loss_D_real: -0.022941 Loss_D_fake 0.007211
[368/5000][115/535][37679] Loss_D: -0.029362 Loss_G: 0.027697 Loss_D_real: -0.022072 Loss_D_fake 0.007290
[368/5000][120/535][37680] Loss_D: -0.029526 Loss_G: 0.010459 Loss_D_real: -0.012512 Loss_D_fake 0.017014
[368/5000][125/535][37681] Loss_D: -0.029695 Loss_G: 0.016166 Loss_D_real: -0.020569 Loss_D_fake 0.009126
[368/5000][130/535][37682] Loss_D: -0.030579 Loss_G: 0.000820 Loss_D_real: -0.015086 Loss_D_fake 0.015493
[368/5000][135/535][37683] Loss_D: -0.029562 Loss_G: 0.019462 Loss_D_real: -0.033004 Loss_D_fake -0.003442
[368/5000][140/535][37684] Loss_D: -0.031203 Loss_G: 0.021504 Loss_D_real: -0.023318 Loss_D_fake 0.007885
[368/5000][145/535][37685] Loss_D: -0.030359 Loss_G: 0.001512 Loss_D_real: -0.013666 Loss_D_fake 0.016693
[368/5000][150/535][37686] Loss_D: -0.030632 Loss_G: 0.033537 Loss_D_real: -0.031272 Loss_D_fake -0.000640
[368/5000][155/535][37687] Loss_D: -0.029785 Loss_G: 0.000039 Loss_D_real: -0.006694 Loss_D_fake 0.023091
[368/5000][160/535][37688] Loss_D: -0.030663 Loss_G: 0.025290 Loss_D_real: -0.027392 Loss_D_fake 0.003271
[368/5000][165/535][37689] Loss_D: -0.029790 Loss_G: 0.001621 Loss_D_real: -0.020664 Loss_D_fake 0.009126
[368/5000][170/535][37690] Loss_D: -0.030200 Loss_G: 0.002562 Loss_D_real: -0.013924 Loss_D_fake 0.016276
[368/5000][175/535][37691] Loss_D: -0.030393 Loss_G: 0.033167 Loss_D_real: -0.027356 Loss_D_fake 0.003037
[368/5000][180/535][37692] Loss_D: -0.029803 Loss_G: 0.024648 Loss_D_real: -0.027652 Loss_D_fake 0.002150
[368/5000][185/535][37693] Loss_D: -0.029600 Loss_G: 0.015441 Loss_D_real: -0.015299 Loss_D_fake 0.014301
[368/5000][190/535][37694] Loss_D: -0.029351 Loss_G: 0.023144 Loss_D_real: -0.028094 Loss_D_fake 0.001257
[368/5000][195/535][37695] Loss_D: -0.030263 Loss_G: 0.017420 Loss_D_real: -0.021471 Loss_D_fake 0.008792
[368/5000][200/535][37696] Loss_D: -0.029387 Loss_G: 0.034922 Loss_D_real: -0.036043 Loss_D_fake -0.006656
[368/5000][205/535][37697] Loss_D: -0.028889 Loss_G: 0.026088 Loss_D_real: -0.022818 Loss_D_fake 0.006071
[368/5000][210/535][37698] Loss_D: -0.030678 Loss_G: 0.000996 Loss_D_real: -0.010072 Loss_D_fake 0.020606
[368/5000][215/535][37699] Loss_D: -0.029599 Loss_G: 0.002078 Loss_D_real: -0.009985 Loss_D_fake 0.019614
[368/5000][220/535][37700] Loss_D: -0.030791 Loss_G: 0.014391 Loss_D_real: -0.019797 Loss_D_fake 0.010994
[368/5000][225/535][37701] Loss_D: -0.030862 Loss_G: 0.026801 Loss_D_real: -0.025043 Loss_D_fake 0.005819
[368/5000][230/535][37702] Loss_D: -0.028577 Loss_G: 0.021976 Loss_D_real: -0.022238 Loss_D_fake 0.006339
[368/5000][235/535][37703] Loss_D: -0.030367 Loss_G: 0.026997 Loss_D_real: -0.021777 Loss_D_fake 0.008591
[368/5000][240/535][37704] Loss_D: -0.029991 Loss_G: 0.033663 Loss_D_real: -0.034776 Loss_D_fake -0.004785
[368/5000][245/535][37705] Loss_D: -0.028514 Loss_G: -0.000791 Loss_D_real: -0.002817 Loss_D_fake 0.025697
[368/5000][250/535][37706] Loss_D: -0.029400 Loss_G: 0.011181 Loss_D_real: -0.016077 Loss_D_fake 0.013323
[368/5000][255/535][37707] Loss_D: -0.029061 Loss_G: -0.009814 Loss_D_real: -0.004821 Loss_D_fake 0.024239
[368/5000][260/535][37708] Loss_D: -0.028932 Loss_G: 0.033629 Loss_D_real: -0.023272 Loss_D_fake 0.005660
[368/5000][265/535][37709] Loss_D: -0.028878 Loss_G: -0.014617 Loss_D_real: 0.000544 Loss_D_fake 0.029422
[368/5000][270/535][37710] Loss_D: -0.026559 Loss_G: 0.038397 Loss_D_real: -0.038895 Loss_D_fake -0.012336
[368/5000][275/535][37711] Loss_D: -0.028990 Loss_G: 0.021953 Loss_D_real: -0.017243 Loss_D_fake 0.011746
[368/5000][280/535][37712] Loss_D: -0.028982 Loss_G: 0.027499 Loss_D_real: -0.030885 Loss_D_fake -0.001903
[368/5000][285/535][37713] Loss_D: -0.029740 Loss_G: 0.026170 Loss_D_real: -0.023293 Loss_D_fake 0.006446
[368/5000][290/535][37714] Loss_D: -0.032012 Loss_G: 0.034648 Loss_D_real: -0.028009 Loss_D_fake 0.004003
[368/5000][295/535][37715] Loss_D: -0.030738 Loss_G: 0.007335 Loss_D_real: -0.012827 Loss_D_fake 0.017912
[368/5000][300/535][37716] Loss_D: -0.030535 Loss_G: 0.001486 Loss_D_real: -0.011309 Loss_D_fake 0.019226
[368/5000][305/535][37717] Loss_D: -0.029368 Loss_G: 0.016619 Loss_D_real: -0.017386 Loss_D_fake 0.011981
[368/5000][310/535][37718] Loss_D: -0.030597 Loss_G: 0.040392 Loss_D_real: -0.028967 Loss_D_fake 0.001630
[368/5000][315/535][37719] Loss_D: -0.031415 Loss_G: 0.017655 Loss_D_real: -0.013808 Loss_D_fake 0.017607
[368/5000][320/535][37720] Loss_D: -0.028969 Loss_G: 0.029586 Loss_D_real: -0.035212 Loss_D_fake -0.006243
[368/5000][325/535][37721] Loss_D: -0.031200 Loss_G: 0.019469 Loss_D_real: -0.029971 Loss_D_fake 0.001229
[368/5000][330/535][37722] Loss_D: -0.029219 Loss_G: 0.031867 Loss_D_real: -0.031934 Loss_D_fake -0.002715
[368/5000][335/535][37723] Loss_D: -0.029583 Loss_G: 0.005986 Loss_D_real: -0.011587 Loss_D_fake 0.017996
[368/5000][340/535][37724] Loss_D: -0.029485 Loss_G: -0.001359 Loss_D_real: -0.011368 Loss_D_fake 0.018117
[368/5000][345/535][37725] Loss_D: -0.030397 Loss_G: 0.030422 Loss_D_real: -0.027400 Loss_D_fake 0.002997
[368/5000][350/535][37726] Loss_D: -0.030569 Loss_G: 0.014890 Loss_D_real: -0.019310 Loss_D_fake 0.011259
[368/5000][355/535][37727] Loss_D: -0.030075 Loss_G: 0.020346 Loss_D_real: -0.017045 Loss_D_fake 0.013031
[368/5000][360/535][37728] Loss_D: -0.030314 Loss_G: 0.023124 Loss_D_real: -0.021813 Loss_D_fake 0.008502
[368/5000][365/535][37729] Loss_D: -0.030413 Loss_G: 0.014413 Loss_D_real: -0.014624 Loss_D_fake 0.015789
[368/5000][370/535][37730] Loss_D: -0.028801 Loss_G: 0.009012 Loss_D_real: -0.020233 Loss_D_fake 0.008568
[368/5000][375/535][37731] Loss_D: -0.029784 Loss_G: 0.028889 Loss_D_real: -0.021183 Loss_D_fake 0.008601
[368/5000][380/535][37732] Loss_D: -0.031086 Loss_G: -0.001102 Loss_D_real: -0.007065 Loss_D_fake 0.024021
[368/5000][385/535][37733] Loss_D: -0.030432 Loss_G: 0.006991 Loss_D_real: -0.021714 Loss_D_fake 0.008717
[368/5000][390/535][37734] Loss_D: -0.029809 Loss_G: 0.028495 Loss_D_real: -0.036587 Loss_D_fake -0.006778
[368/5000][395/535][37735] Loss_D: -0.029769 Loss_G: 0.002101 Loss_D_real: -0.011296 Loss_D_fake 0.018472
[368/5000][400/535][37736] Loss_D: -0.028562 Loss_G: 0.030204 Loss_D_real: -0.029184 Loss_D_fake -0.000622
[368/5000][405/535][37737] Loss_D: -0.031369 Loss_G: 0.016324 Loss_D_real: -0.018355 Loss_D_fake 0.013015
[368/5000][410/535][37738] Loss_D: -0.028578 Loss_G: 0.038911 Loss_D_real: -0.041793 Loss_D_fake -0.013215
[368/5000][415/535][37739] Loss_D: -0.028972 Loss_G: 0.030526 Loss_D_real: -0.034405 Loss_D_fake -0.005433
[368/5000][420/535][37740] Loss_D: -0.029934 Loss_G: 0.029309 Loss_D_real: -0.022158 Loss_D_fake 0.007776
[368/5000][425/535][37741] Loss_D: -0.030211 Loss_G: -0.001597 Loss_D_real: -0.002875 Loss_D_fake 0.027336
[368/5000][430/535][37742] Loss_D: -0.028466 Loss_G: -0.000617 Loss_D_real: -0.010838 Loss_D_fake 0.017629
[368/5000][435/535][37743] Loss_D: -0.029745 Loss_G: 0.019640 Loss_D_real: -0.024257 Loss_D_fake 0.005488
[368/5000][440/535][37744] Loss_D: -0.030408 Loss_G: 0.024431 Loss_D_real: -0.012968 Loss_D_fake 0.017439
[368/5000][445/535][37745] Loss_D: -0.029790 Loss_G: 0.013748 Loss_D_real: -0.009219 Loss_D_fake 0.020572
[368/5000][450/535][37746] Loss_D: -0.028726 Loss_G: 0.002922 Loss_D_real: -0.014366 Loss_D_fake 0.014360
[368/5000][455/535][37747] Loss_D: -0.028644 Loss_G: 0.030722 Loss_D_real: -0.028580 Loss_D_fake 0.000064
[368/5000][460/535][37748] Loss_D: -0.029070 Loss_G: 0.031847 Loss_D_real: -0.028644 Loss_D_fake 0.000426
[368/5000][465/535][37749] Loss_D: -0.030306 Loss_G: 0.014776 Loss_D_real: -0.018600 Loss_D_fake 0.011706
[368/5000][470/535][37750] Loss_D: -0.029879 Loss_G: 0.003966 Loss_D_real: -0.005864 Loss_D_fake 0.024015
[368/5000][475/535][37751] Loss_D: -0.028140 Loss_G: 0.022519 Loss_D_real: -0.028360 Loss_D_fake -0.000221
[368/5000][480/535][37752] Loss_D: -0.029565 Loss_G: 0.002275 Loss_D_real: -0.009771 Loss_D_fake 0.019794
[368/5000][485/535][37753] Loss_D: -0.029314 Loss_G: 0.026827 Loss_D_real: -0.032295 Loss_D_fake -0.002981
[368/5000][490/535][37754] Loss_D: -0.028765 Loss_G: 0.006883 Loss_D_real: -0.013126 Loss_D_fake 0.015639
[368/5000][495/535][37755] Loss_D: -0.029116 Loss_G: 0.025306 Loss_D_real: -0.037096 Loss_D_fake -0.007980
[368/5000][500/535][37756] Loss_D: -0.031084 Loss_G: 0.010195 Loss_D_real: -0.019627 Loss_D_fake 0.011457
[368/5000][505/535][37757] Loss_D: -0.028036 Loss_G: 0.033984 Loss_D_real: -0.035207 Loss_D_fake -0.007170
[368/5000][510/535][37758] Loss_D: -0.030359 Loss_G: -0.020582 Loss_D_real: 0.001248 Loss_D_fake 0.031606
[368/5000][515/535][37759] Loss_D: -0.027457 Loss_G: 0.030063 Loss_D_real: -0.030665 Loss_D_fake -0.003208
[368/5000][520/535][37760] Loss_D: -0.029345 Loss_G: 0.012095 Loss_D_real: -0.011280 Loss_D_fake 0.018066
[368/5000][525/535][37761] Loss_D: -0.030610 Loss_G: 0.021318 Loss_D_real: -0.033279 Loss_D_fake -0.002669
[368/5000][530/535][37762] Loss_D: -0.032032 Loss_G: 0.001274 Loss_D_real: -0.005997 Loss_D_fake 0.026035
[368/5000][535/535][37763] Loss_D: -0.035057 Loss_G: 0.044183 Loss_D_real: -0.026176 Loss_D_fake 0.008881
[369/5000][5/535][37764] Loss_D: -0.029352 Loss_G: 0.006691 Loss_D_real: -0.014819 Loss_D_fake 0.014533
[369/5000][10/535][37765] Loss_D: -0.029615 Loss_G: 0.002233 Loss_D_real: -0.007714 Loss_D_fake 0.021902
[369/5000][15/535][37766] Loss_D: -0.030204 Loss_G: 0.023636 Loss_D_real: -0.023799 Loss_D_fake 0.006405
[369/5000][20/535][37767] Loss_D: -0.028945 Loss_G: 0.004872 Loss_D_real: -0.010373 Loss_D_fake 0.018572
[369/5000][25/535][37768] Loss_D: -0.029444 Loss_G: 0.018447 Loss_D_real: -0.029457 Loss_D_fake -0.000013
[369/5000][30/535][37769] Loss_D: -0.029830 Loss_G: 0.015143 Loss_D_real: -0.006361 Loss_D_fake 0.023469
[369/5000][35/535][37770] Loss_D: -0.029865 Loss_G: 0.028181 Loss_D_real: -0.028933 Loss_D_fake 0.000932
[369/5000][40/535][37771] Loss_D: -0.029060 Loss_G: 0.028140 Loss_D_real: -0.027840 Loss_D_fake 0.001221
[369/5000][45/535][37772] Loss_D: -0.030590 Loss_G: 0.010161 Loss_D_real: -0.016613 Loss_D_fake 0.013978
[369/5000][50/535][37773] Loss_D: -0.029362 Loss_G: 0.011881 Loss_D_real: -0.009094 Loss_D_fake 0.020268
[369/5000][55/535][37774] Loss_D: -0.030683 Loss_G: 0.023450 Loss_D_real: -0.026026 Loss_D_fake 0.004656
[369/5000][60/535][37775] Loss_D: -0.030559 Loss_G: 0.022719 Loss_D_real: -0.018839 Loss_D_fake 0.011720
[369/5000][65/535][37776] Loss_D: -0.028996 Loss_G: 0.030701 Loss_D_real: -0.024935 Loss_D_fake 0.004061
[369/5000][70/535][37777] Loss_D: -0.031336 Loss_G: 0.013469 Loss_D_real: -0.018454 Loss_D_fake 0.012882
[369/5000][75/535][37778] Loss_D: -0.029847 Loss_G: 0.010420 Loss_D_real: -0.011288 Loss_D_fake 0.018559
[369/5000][80/535][37779] Loss_D: -0.028360 Loss_G: 0.026530 Loss_D_real: -0.021808 Loss_D_fake 0.006552
[369/5000][85/535][37780] Loss_D: -0.029113 Loss_G: 0.003823 Loss_D_real: -0.007912 Loss_D_fake 0.021202
[369/5000][90/535][37781] Loss_D: -0.030440 Loss_G: 0.029856 Loss_D_real: -0.038461 Loss_D_fake -0.008021
[369/5000][95/535][37782] Loss_D: -0.030414 Loss_G: 0.006628 Loss_D_real: -0.016734 Loss_D_fake 0.013680
[369/5000][100/535][37783] Loss_D: -0.029808 Loss_G: 0.015200 Loss_D_real: -0.015968 Loss_D_fake 0.013840
[369/5000][105/535][37784] Loss_D: -0.029552 Loss_G: 0.026710 Loss_D_real: -0.027397 Loss_D_fake 0.002155
[369/5000][110/535][37785] Loss_D: -0.028798 Loss_G: 0.039542 Loss_D_real: -0.030640 Loss_D_fake -0.001842
[369/5000][115/535][37786] Loss_D: -0.030230 Loss_G: 0.006419 Loss_D_real: -0.017876 Loss_D_fake 0.012354
[369/5000][120/535][37787] Loss_D: -0.029118 Loss_G: 0.018018 Loss_D_real: -0.022009 Loss_D_fake 0.007109
[369/5000][125/535][37788] Loss_D: -0.030019 Loss_G: 0.023824 Loss_D_real: -0.025651 Loss_D_fake 0.004368
[369/5000][130/535][37789] Loss_D: -0.029655 Loss_G: 0.015803 Loss_D_real: -0.021849 Loss_D_fake 0.007806
[369/5000][135/535][37790] Loss_D: -0.029014 Loss_G: 0.027855 Loss_D_real: -0.031702 Loss_D_fake -0.002688
[369/5000][140/535][37791] Loss_D: -0.029592 Loss_G: -0.011191 Loss_D_real: -0.007183 Loss_D_fake 0.022409
[369/5000][145/535][37792] Loss_D: -0.029685 Loss_G: 0.017012 Loss_D_real: -0.030209 Loss_D_fake -0.000524
[369/5000][150/535][37793] Loss_D: -0.030774 Loss_G: 0.007873 Loss_D_real: -0.015748 Loss_D_fake 0.015027
[369/5000][155/535][37794] Loss_D: -0.030683 Loss_G: 0.029334 Loss_D_real: -0.020696 Loss_D_fake 0.009988
[369/5000][160/535][37795] Loss_D: -0.030233 Loss_G: 0.014838 Loss_D_real: -0.013629 Loss_D_fake 0.016604
[369/5000][165/535][37796] Loss_D: -0.029877 Loss_G: 0.011759 Loss_D_real: -0.016463 Loss_D_fake 0.013415
[369/5000][170/535][37797] Loss_D: -0.031115 Loss_G: 0.008460 Loss_D_real: -0.014692 Loss_D_fake 0.016423
[369/5000][175/535][37798] Loss_D: -0.029122 Loss_G: 0.025101 Loss_D_real: -0.029608 Loss_D_fake -0.000486
[369/5000][180/535][37799] Loss_D: -0.029206 Loss_G: -0.003602 Loss_D_real: 0.006999 Loss_D_fake 0.036205
[369/5000][185/535][37800] Loss_D: -0.028555 Loss_G: 0.015572 Loss_D_real: -0.016416 Loss_D_fake 0.012139
[369/5000][190/535][37801] Loss_D: -0.029136 Loss_G: 0.021404 Loss_D_real: -0.018716 Loss_D_fake 0.010421
[369/5000][195/535][37802] Loss_D: -0.029832 Loss_G: 0.023964 Loss_D_real: -0.027587 Loss_D_fake 0.002245
[369/5000][200/535][37803] Loss_D: -0.030039 Loss_G: 0.018790 Loss_D_real: -0.026271 Loss_D_fake 0.003768
[369/5000][205/535][37804] Loss_D: -0.029495 Loss_G: 0.024968 Loss_D_real: -0.027053 Loss_D_fake 0.002443
[369/5000][210/535][37805] Loss_D: -0.028833 Loss_G: 0.030212 Loss_D_real: -0.027797 Loss_D_fake 0.001036
[369/5000][215/535][37806] Loss_D: -0.029228 Loss_G: 0.007519 Loss_D_real: -0.003839 Loss_D_fake 0.025389
[369/5000][220/535][37807] Loss_D: -0.028498 Loss_G: 0.025924 Loss_D_real: -0.014483 Loss_D_fake 0.014015
[369/5000][225/535][37808] Loss_D: -0.029420 Loss_G: 0.002889 Loss_D_real: -0.017719 Loss_D_fake 0.011701
[369/5000][230/535][37809] Loss_D: -0.027903 Loss_G: 0.037453 Loss_D_real: -0.034085 Loss_D_fake -0.006181
[369/5000][235/535][37810] Loss_D: -0.028863 Loss_G: -0.005752 Loss_D_real: -0.008512 Loss_D_fake 0.020351
[369/5000][240/535][37811] Loss_D: -0.028122 Loss_G: 0.030014 Loss_D_real: -0.030215 Loss_D_fake -0.002094
[369/5000][245/535][37812] Loss_D: -0.028374 Loss_G: -0.010796 Loss_D_real: -0.005631 Loss_D_fake 0.022743
[369/5000][250/535][37813] Loss_D: -0.027118 Loss_G: 0.004726 Loss_D_real: -0.012226 Loss_D_fake 0.014892
[369/5000][255/535][37814] Loss_D: -0.028831 Loss_G: 0.024632 Loss_D_real: -0.038021 Loss_D_fake -0.009190
[369/5000][260/535][37815] Loss_D: -0.030694 Loss_G: -0.003091 Loss_D_real: -0.007504 Loss_D_fake 0.023190
[369/5000][265/535][37816] Loss_D: -0.028183 Loss_G: 0.021158 Loss_D_real: -0.023343 Loss_D_fake 0.004840
[369/5000][270/535][37817] Loss_D: -0.029110 Loss_G: -0.002830 Loss_D_real: -0.014645 Loss_D_fake 0.014465
[369/5000][275/535][37818] Loss_D: -0.030480 Loss_G: 0.021006 Loss_D_real: -0.025000 Loss_D_fake 0.005480
[369/5000][280/535][37819] Loss_D: -0.031852 Loss_G: 0.015181 Loss_D_real: -0.016700 Loss_D_fake 0.015152
[369/5000][285/535][37820] Loss_D: -0.029369 Loss_G: -0.006885 Loss_D_real: -0.007695 Loss_D_fake 0.021674
[369/5000][290/535][37821] Loss_D: -0.030013 Loss_G: 0.034703 Loss_D_real: -0.034379 Loss_D_fake -0.004367
[369/5000][295/535][37822] Loss_D: -0.030216 Loss_G: 0.018074 Loss_D_real: -0.022173 Loss_D_fake 0.008043
[369/5000][300/535][37823] Loss_D: -0.029822 Loss_G: 0.020152 Loss_D_real: -0.030115 Loss_D_fake -0.000293
[369/5000][305/535][37824] Loss_D: -0.031534 Loss_G: 0.011752 Loss_D_real: -0.017939 Loss_D_fake 0.013595
[369/5000][310/535][37825] Loss_D: -0.030105 Loss_G: 0.014024 Loss_D_real: -0.016738 Loss_D_fake 0.013368
[369/5000][315/535][37826] Loss_D: -0.031750 Loss_G: 0.013298 Loss_D_real: -0.011483 Loss_D_fake 0.020267
[369/5000][320/535][37827] Loss_D: -0.031182 Loss_G: 0.025414 Loss_D_real: -0.022477 Loss_D_fake 0.008705
[369/5000][325/535][37828] Loss_D: -0.029194 Loss_G: 0.036138 Loss_D_real: -0.032310 Loss_D_fake -0.003116
[369/5000][330/535][37829] Loss_D: -0.029413 Loss_G: 0.007565 Loss_D_real: -0.018901 Loss_D_fake 0.010511
[369/5000][335/535][37830] Loss_D: -0.030659 Loss_G: 0.011303 Loss_D_real: -0.015687 Loss_D_fake 0.014972
[369/5000][340/535][37831] Loss_D: -0.029840 Loss_G: -0.003569 Loss_D_real: -0.005878 Loss_D_fake 0.023962
[369/5000][345/535][37832] Loss_D: -0.029304 Loss_G: 0.040154 Loss_D_real: -0.040272 Loss_D_fake -0.010968
[369/5000][350/535][37833] Loss_D: -0.030290 Loss_G: 0.009574 Loss_D_real: -0.015491 Loss_D_fake 0.014799
[369/5000][355/535][37834] Loss_D: -0.028910 Loss_G: 0.015675 Loss_D_real: -0.020113 Loss_D_fake 0.008797
[369/5000][360/535][37835] Loss_D: -0.028895 Loss_G: -0.007488 Loss_D_real: -0.017985 Loss_D_fake 0.010910
[369/5000][365/535][37836] Loss_D: -0.029738 Loss_G: 0.014683 Loss_D_real: -0.017991 Loss_D_fake 0.011746
[369/5000][370/535][37837] Loss_D: -0.029079 Loss_G: 0.006285 Loss_D_real: -0.008754 Loss_D_fake 0.020325
[369/5000][375/535][37838] Loss_D: -0.028187 Loss_G: 0.021583 Loss_D_real: -0.028645 Loss_D_fake -0.000458
[369/5000][380/535][37839] Loss_D: -0.029179 Loss_G: 0.016442 Loss_D_real: -0.028568 Loss_D_fake 0.000611
[369/5000][385/535][37840] Loss_D: -0.030270 Loss_G: 0.026959 Loss_D_real: -0.033683 Loss_D_fake -0.003412
[369/5000][390/535][37841] Loss_D: -0.031288 Loss_G: 0.019753 Loss_D_real: -0.016851 Loss_D_fake 0.014437
[369/5000][395/535][37842] Loss_D: -0.029622 Loss_G: 0.020382 Loss_D_real: -0.017654 Loss_D_fake 0.011968
[369/5000][400/535][37843] Loss_D: -0.028435 Loss_G: -0.002269 Loss_D_real: -0.001028 Loss_D_fake 0.027407
[369/5000][405/535][37844] Loss_D: -0.029762 Loss_G: 0.011685 Loss_D_real: -0.018492 Loss_D_fake 0.011270
[369/5000][410/535][37845] Loss_D: -0.030987 Loss_G: 0.019014 Loss_D_real: -0.019553 Loss_D_fake 0.011434
[369/5000][415/535][37846] Loss_D: -0.030879 Loss_G: 0.013662 Loss_D_real: -0.026310 Loss_D_fake 0.004570
[369/5000][420/535][37847] Loss_D: -0.029075 Loss_G: 0.045552 Loss_D_real: -0.034621 Loss_D_fake -0.005547
[369/5000][425/535][37848] Loss_D: -0.029179 Loss_G: -0.007753 Loss_D_real: 0.001169 Loss_D_fake 0.030348
[369/5000][430/535][37849] Loss_D: -0.030696 Loss_G: 0.021649 Loss_D_real: -0.017672 Loss_D_fake 0.013024
[369/5000][435/535][37850] Loss_D: -0.028867 Loss_G: -0.014021 Loss_D_real: 0.001798 Loss_D_fake 0.030665
[369/5000][440/535][37851] Loss_D: -0.029117 Loss_G: 0.012167 Loss_D_real: -0.015520 Loss_D_fake 0.013598
[369/5000][445/535][37852] Loss_D: -0.029970 Loss_G: -0.006339 Loss_D_real: -0.004877 Loss_D_fake 0.025093
[369/5000][450/535][37853] Loss_D: -0.028494 Loss_G: 0.027083 Loss_D_real: -0.023227 Loss_D_fake 0.005266
[369/5000][455/535][37854] Loss_D: -0.028102 Loss_G: 0.010568 Loss_D_real: -0.014811 Loss_D_fake 0.013291
[369/5000][460/535][37855] Loss_D: -0.029387 Loss_G: -0.000043 Loss_D_real: -0.015834 Loss_D_fake 0.013553
[369/5000][465/535][37856] Loss_D: -0.028552 Loss_G: -0.003217 Loss_D_real: -0.005014 Loss_D_fake 0.023538
[369/5000][470/535][37857] Loss_D: -0.029429 Loss_G: 0.012583 Loss_D_real: -0.014354 Loss_D_fake 0.015075
[369/5000][475/535][37858] Loss_D: -0.028877 Loss_G: 0.017702 Loss_D_real: -0.026616 Loss_D_fake 0.002262
[369/5000][480/535][37859] Loss_D: -0.031589 Loss_G: 0.024050 Loss_D_real: -0.018231 Loss_D_fake 0.013358
[369/5000][485/535][37860] Loss_D: -0.030945 Loss_G: 0.012442 Loss_D_real: -0.020402 Loss_D_fake 0.010543
[369/5000][490/535][37861] Loss_D: -0.030897 Loss_G: -0.000096 Loss_D_real: -0.001421 Loss_D_fake 0.029476
[369/5000][495/535][37862] Loss_D: -0.030082 Loss_G: 0.025544 Loss_D_real: -0.031288 Loss_D_fake -0.001205
[369/5000][500/535][37863] Loss_D: -0.030681 Loss_G: 0.037131 Loss_D_real: -0.032243 Loss_D_fake -0.001562
[369/5000][505/535][37864] Loss_D: -0.030097 Loss_G: 0.011565 Loss_D_real: -0.012033 Loss_D_fake 0.018064
[369/5000][510/535][37865] Loss_D: -0.029071 Loss_G: 0.004704 Loss_D_real: -0.005094 Loss_D_fake 0.023977
[369/5000][515/535][37866] Loss_D: -0.029629 Loss_G: 0.013826 Loss_D_real: -0.017036 Loss_D_fake 0.012593
[369/5000][520/535][37867] Loss_D: -0.028874 Loss_G: 0.042149 Loss_D_real: -0.038180 Loss_D_fake -0.009306
[369/5000][525/535][37868] Loss_D: -0.028445 Loss_G: -0.015081 Loss_D_real: 0.005151 Loss_D_fake 0.033596
[369/5000][530/535][37869] Loss_D: -0.028710 Loss_G: 0.016240 Loss_D_real: -0.025287 Loss_D_fake 0.003423
[369/5000][535/535][37870] Loss_D: -0.026087 Loss_G: 0.036180 Loss_D_real: -0.023013 Loss_D_fake 0.003075
[370/5000][5/535][37871] Loss_D: -0.029989 Loss_G: 0.004303 Loss_D_real: -0.012180 Loss_D_fake 0.017809
[370/5000][10/535][37872] Loss_D: -0.029011 Loss_G: 0.010827 Loss_D_real: -0.009848 Loss_D_fake 0.019164
[370/5000][15/535][37873] Loss_D: -0.029141 Loss_G: 0.012057 Loss_D_real: -0.008622 Loss_D_fake 0.020519
[370/5000][20/535][37874] Loss_D: -0.029356 Loss_G: 0.019812 Loss_D_real: -0.025766 Loss_D_fake 0.003591
[370/5000][25/535][37875] Loss_D: -0.029686 Loss_G: 0.015842 Loss_D_real: -0.013368 Loss_D_fake 0.016318
[370/5000][30/535][37876] Loss_D: -0.029433 Loss_G: 0.002423 Loss_D_real: -0.009154 Loss_D_fake 0.020279
[370/5000][35/535][37877] Loss_D: -0.027917 Loss_G: 0.026915 Loss_D_real: -0.030761 Loss_D_fake -0.002844
[370/5000][40/535][37878] Loss_D: -0.030145 Loss_G: 0.009419 Loss_D_real: -0.022608 Loss_D_fake 0.007537
[370/5000][45/535][37879] Loss_D: -0.030176 Loss_G: 0.009620 Loss_D_real: -0.009606 Loss_D_fake 0.020570
[370/5000][50/535][37880] Loss_D: -0.029804 Loss_G: 0.021401 Loss_D_real: -0.026368 Loss_D_fake 0.003436
[370/5000][55/535][37881] Loss_D: -0.029139 Loss_G: -0.006057 Loss_D_real: 0.003438 Loss_D_fake 0.032578
[370/5000][60/535][37882] Loss_D: -0.030399 Loss_G: 0.018037 Loss_D_real: -0.022174 Loss_D_fake 0.008226
[370/5000][65/535][37883] Loss_D: -0.028444 Loss_G: 0.027391 Loss_D_real: -0.032309 Loss_D_fake -0.003865
[370/5000][70/535][37884] Loss_D: -0.029349 Loss_G: 0.023538 Loss_D_real: -0.023978 Loss_D_fake 0.005371
[370/5000][75/535][37885] Loss_D: -0.028951 Loss_G: -0.010204 Loss_D_real: -0.000000 Loss_D_fake 0.028950
[370/5000][80/535][37886] Loss_D: -0.029121 Loss_G: 0.005915 Loss_D_real: -0.010951 Loss_D_fake 0.018170
[370/5000][85/535][37887] Loss_D: -0.030363 Loss_G: 0.024539 Loss_D_real: -0.022742 Loss_D_fake 0.007621
[370/5000][90/535][37888] Loss_D: -0.031248 Loss_G: 0.030677 Loss_D_real: -0.024398 Loss_D_fake 0.006850
[370/5000][95/535][37889] Loss_D: -0.031190 Loss_G: 0.027340 Loss_D_real: -0.022503 Loss_D_fake 0.008687
[370/5000][100/535][37890] Loss_D: -0.029691 Loss_G: 0.040877 Loss_D_real: -0.036311 Loss_D_fake -0.006620
[370/5000][105/535][37891] Loss_D: -0.029915 Loss_G: 0.005421 Loss_D_real: -0.008638 Loss_D_fake 0.021277
[370/5000][110/535][37892] Loss_D: -0.027580 Loss_G: 0.027778 Loss_D_real: -0.035368 Loss_D_fake -0.007787
[370/5000][115/535][37893] Loss_D: -0.030477 Loss_G: 0.010466 Loss_D_real: -0.028508 Loss_D_fake 0.001968
[370/5000][120/535][37894] Loss_D: -0.030235 Loss_G: 0.030422 Loss_D_real: -0.031872 Loss_D_fake -0.001637
[370/5000][125/535][37895] Loss_D: -0.029275 Loss_G: 0.006198 Loss_D_real: -0.019003 Loss_D_fake 0.010272
[370/5000][130/535][37896] Loss_D: -0.029249 Loss_G: 0.005602 Loss_D_real: -0.004049 Loss_D_fake 0.025200
[370/5000][135/535][37897] Loss_D: -0.029772 Loss_G: 0.005995 Loss_D_real: -0.018973 Loss_D_fake 0.010799
[370/5000][140/535][37898] Loss_D: -0.028169 Loss_G: 0.024377 Loss_D_real: -0.021151 Loss_D_fake 0.007018
[370/5000][145/535][37899] Loss_D: -0.030087 Loss_G: 0.030904 Loss_D_real: -0.027851 Loss_D_fake 0.002236
[370/5000][150/535][37900] Loss_D: -0.029600 Loss_G: -0.014876 Loss_D_real: -0.003168 Loss_D_fake 0.026433
[370/5000][155/535][37901] Loss_D: -0.028479 Loss_G: 0.012113 Loss_D_real: -0.017834 Loss_D_fake 0.010645
[370/5000][160/535][37902] Loss_D: -0.027975 Loss_G: 0.009920 Loss_D_real: -0.017537 Loss_D_fake 0.010438
[370/5000][165/535][37903] Loss_D: -0.027269 Loss_G: 0.034258 Loss_D_real: -0.037277 Loss_D_fake -0.010008
[370/5000][170/535][37904] Loss_D: -0.029697 Loss_G: 0.024227 Loss_D_real: -0.028102 Loss_D_fake 0.001596
[370/5000][175/535][37905] Loss_D: -0.031550 Loss_G: 0.013955 Loss_D_real: -0.018575 Loss_D_fake 0.012975
[370/5000][180/535][37906] Loss_D: -0.030073 Loss_G: 0.028439 Loss_D_real: -0.034900 Loss_D_fake -0.004827
[370/5000][185/535][37907] Loss_D: -0.030026 Loss_G: 0.010765 Loss_D_real: -0.014340 Loss_D_fake 0.015686
[370/5000][190/535][37908] Loss_D: -0.030155 Loss_G: 0.021137 Loss_D_real: -0.023735 Loss_D_fake 0.006420
[370/5000][195/535][37909] Loss_D: -0.031253 Loss_G: -0.004661 Loss_D_real: -0.010138 Loss_D_fake 0.021115
[370/5000][200/535][37910] Loss_D: -0.031146 Loss_G: 0.015769 Loss_D_real: -0.024464 Loss_D_fake 0.006682
[370/5000][205/535][37911] Loss_D: -0.029230 Loss_G: 0.025494 Loss_D_real: -0.023872 Loss_D_fake 0.005358
[370/5000][210/535][37912] Loss_D: -0.029612 Loss_G: -0.004859 Loss_D_real: -0.002425 Loss_D_fake 0.027187
[370/5000][215/535][37913] Loss_D: -0.027967 Loss_G: 0.028070 Loss_D_real: -0.034650 Loss_D_fake -0.006682
[370/5000][220/535][37914] Loss_D: -0.029357 Loss_G: 0.000777 Loss_D_real: -0.002640 Loss_D_fake 0.026717
[370/5000][225/535][37915] Loss_D: -0.029531 Loss_G: 0.026102 Loss_D_real: -0.028524 Loss_D_fake 0.001007
[370/5000][230/535][37916] Loss_D: -0.028387 Loss_G: 0.001027 Loss_D_real: -0.009658 Loss_D_fake 0.018730
[370/5000][235/535][37917] Loss_D: -0.029620 Loss_G: 0.013614 Loss_D_real: -0.013289 Loss_D_fake 0.016331
[370/5000][240/535][37918] Loss_D: -0.030379 Loss_G: 0.010848 Loss_D_real: -0.013806 Loss_D_fake 0.016573
[370/5000][245/535][37919] Loss_D: -0.029664 Loss_G: 0.026474 Loss_D_real: -0.029945 Loss_D_fake -0.000281
[370/5000][250/535][37920] Loss_D: -0.030029 Loss_G: 0.023093 Loss_D_real: -0.026328 Loss_D_fake 0.003701
[370/5000][255/535][37921] Loss_D: -0.031885 Loss_G: 0.032917 Loss_D_real: -0.029897 Loss_D_fake 0.001988
[370/5000][260/535][37922] Loss_D: -0.029931 Loss_G: 0.021943 Loss_D_real: -0.027207 Loss_D_fake 0.002723
[370/5000][265/535][37923] Loss_D: -0.030424 Loss_G: 0.000555 Loss_D_real: -0.015684 Loss_D_fake 0.014740
[370/5000][270/535][37924] Loss_D: -0.030839 Loss_G: 0.020571 Loss_D_real: -0.020647 Loss_D_fake 0.010193
[370/5000][275/535][37925] Loss_D: -0.028289 Loss_G: 0.021261 Loss_D_real: -0.034495 Loss_D_fake -0.006206
[370/5000][280/535][37926] Loss_D: -0.028767 Loss_G: 0.023094 Loss_D_real: -0.019501 Loss_D_fake 0.009266
[370/5000][285/535][37927] Loss_D: -0.031292 Loss_G: 0.032243 Loss_D_real: -0.030412 Loss_D_fake 0.000880
[370/5000][290/535][37928] Loss_D: -0.028923 Loss_G: -0.005217 Loss_D_real: -0.013198 Loss_D_fake 0.015726
[370/5000][295/535][37929] Loss_D: -0.030073 Loss_G: 0.004743 Loss_D_real: -0.009350 Loss_D_fake 0.020723
[370/5000][300/535][37930] Loss_D: -0.028089 Loss_G: -0.010643 Loss_D_real: 0.001880 Loss_D_fake 0.029969
[370/5000][305/535][37931] Loss_D: -0.027201 Loss_G: 0.035292 Loss_D_real: -0.034332 Loss_D_fake -0.007131
[370/5000][310/535][37932] Loss_D: -0.030008 Loss_G: 0.014604 Loss_D_real: -0.025932 Loss_D_fake 0.004076
[370/5000][315/535][37933] Loss_D: -0.030241 Loss_G: 0.033607 Loss_D_real: -0.027153 Loss_D_fake 0.003087
[370/5000][320/535][37934] Loss_D: -0.031242 Loss_G: 0.005750 Loss_D_real: -0.018796 Loss_D_fake 0.012446
[370/5000][325/535][37935] Loss_D: -0.031023 Loss_G: 0.021001 Loss_D_real: -0.015701 Loss_D_fake 0.015322
[370/5000][330/535][37936] Loss_D: -0.030843 Loss_G: 0.016445 Loss_D_real: -0.024526 Loss_D_fake 0.006317
[370/5000][335/535][37937] Loss_D: -0.028909 Loss_G: 0.025706 Loss_D_real: -0.029539 Loss_D_fake -0.000629
[370/5000][340/535][37938] Loss_D: -0.030048 Loss_G: 0.015664 Loss_D_real: -0.019897 Loss_D_fake 0.010151
[370/5000][345/535][37939] Loss_D: -0.028177 Loss_G: 0.030220 Loss_D_real: -0.031708 Loss_D_fake -0.003532
[370/5000][350/535][37940] Loss_D: -0.029269 Loss_G: 0.012200 Loss_D_real: -0.017023 Loss_D_fake 0.012247
[370/5000][355/535][37941] Loss_D: -0.029598 Loss_G: 0.025516 Loss_D_real: -0.029238 Loss_D_fake 0.000360
[370/5000][360/535][37942] Loss_D: -0.028699 Loss_G: -0.000698 Loss_D_real: -0.015449 Loss_D_fake 0.013250
[370/5000][365/535][37943] Loss_D: -0.028239 Loss_G: 0.020610 Loss_D_real: -0.027602 Loss_D_fake 0.000637
[370/5000][370/535][37944] Loss_D: -0.029947 Loss_G: 0.010104 Loss_D_real: -0.013973 Loss_D_fake 0.015974
[370/5000][375/535][37945] Loss_D: -0.028090 Loss_G: 0.034921 Loss_D_real: -0.028835 Loss_D_fake -0.000745
[370/5000][380/535][37946] Loss_D: -0.029470 Loss_G: -0.006032 Loss_D_real: -0.004233 Loss_D_fake 0.025237
[370/5000][385/535][37947] Loss_D: -0.028984 Loss_G: 0.016358 Loss_D_real: -0.017789 Loss_D_fake 0.011195
[370/5000][390/535][37948] Loss_D: -0.029923 Loss_G: 0.026660 Loss_D_real: -0.031713 Loss_D_fake -0.001790
[370/5000][395/535][37949] Loss_D: -0.031247 Loss_G: 0.009140 Loss_D_real: -0.015586 Loss_D_fake 0.015661
[370/5000][400/535][37950] Loss_D: -0.030233 Loss_G: 0.028771 Loss_D_real: -0.037529 Loss_D_fake -0.007296
[370/5000][405/535][37951] Loss_D: -0.028007 Loss_G: 0.035982 Loss_D_real: -0.034499 Loss_D_fake -0.006492
[370/5000][410/535][37952] Loss_D: -0.030322 Loss_G: 0.017928 Loss_D_real: -0.021543 Loss_D_fake 0.008779
[370/5000][415/535][37953] Loss_D: -0.030786 Loss_G: 0.013938 Loss_D_real: -0.019368 Loss_D_fake 0.011418
[370/5000][420/535][37954] Loss_D: -0.030610 Loss_G: 0.028429 Loss_D_real: -0.032492 Loss_D_fake -0.001882
[370/5000][425/535][37955] Loss_D: -0.030130 Loss_G: -0.005120 Loss_D_real: -0.000339 Loss_D_fake 0.029791
[370/5000][430/535][37956] Loss_D: -0.028838 Loss_G: 0.028503 Loss_D_real: -0.034574 Loss_D_fake -0.005736
[370/5000][435/535][37957] Loss_D: -0.029128 Loss_G: 0.003034 Loss_D_real: -0.004225 Loss_D_fake 0.024903
[370/5000][440/535][37958] Loss_D: -0.030437 Loss_G: 0.019161 Loss_D_real: -0.022063 Loss_D_fake 0.008375
[370/5000][445/535][37959] Loss_D: -0.029480 Loss_G: -0.012125 Loss_D_real: -0.007284 Loss_D_fake 0.022196
[370/5000][450/535][37960] Loss_D: -0.028942 Loss_G: 0.023471 Loss_D_real: -0.026480 Loss_D_fake 0.002461
[370/5000][455/535][37961] Loss_D: -0.028530 Loss_G: 0.025847 Loss_D_real: -0.025865 Loss_D_fake 0.002665
[370/5000][460/535][37962] Loss_D: -0.028269 Loss_G: -0.006093 Loss_D_real: -0.001398 Loss_D_fake 0.026871
[370/5000][465/535][37963] Loss_D: -0.030892 Loss_G: 0.033166 Loss_D_real: -0.025463 Loss_D_fake 0.005428
[370/5000][470/535][37964] Loss_D: -0.029197 Loss_G: -0.000476 Loss_D_real: -0.006907 Loss_D_fake 0.022291
[370/5000][475/535][37965] Loss_D: -0.029930 Loss_G: 0.007732 Loss_D_real: -0.011962 Loss_D_fake 0.017968
[370/5000][480/535][37966] Loss_D: -0.029917 Loss_G: -0.003732 Loss_D_real: -0.008036 Loss_D_fake 0.021881
[370/5000][485/535][37967] Loss_D: -0.029238 Loss_G: 0.035852 Loss_D_real: -0.020939 Loss_D_fake 0.008299
[370/5000][490/535][37968] Loss_D: -0.031243 Loss_G: 0.018316 Loss_D_real: -0.021199 Loss_D_fake 0.010045
[370/5000][495/535][37969] Loss_D: -0.030019 Loss_G: 0.005245 Loss_D_real: -0.004347 Loss_D_fake 0.025672
[370/5000][500/535][37970] Loss_D: -0.029352 Loss_G: 0.005127 Loss_D_real: -0.014563 Loss_D_fake 0.014789
[370/5000][505/535][37971] Loss_D: -0.029432 Loss_G: -0.000614 Loss_D_real: -0.011862 Loss_D_fake 0.017570
[370/5000][510/535][37972] Loss_D: -0.029930 Loss_G: 0.015408 Loss_D_real: -0.019355 Loss_D_fake 0.010575
[370/5000][515/535][37973] Loss_D: -0.030625 Loss_G: 0.006394 Loss_D_real: -0.004780 Loss_D_fake 0.025845
[370/5000][520/535][37974] Loss_D: -0.029642 Loss_G: 0.008740 Loss_D_real: -0.005474 Loss_D_fake 0.024168
[370/5000][525/535][37975] Loss_D: -0.029121 Loss_G: 0.035013 Loss_D_real: -0.033892 Loss_D_fake -0.004771
[370/5000][530/535][37976] Loss_D: -0.030071 Loss_G: -0.004347 Loss_D_real: -0.000241 Loss_D_fake 0.029830
[370/5000][535/535][37977] Loss_D: -0.028681 Loss_G: 0.032587 Loss_D_real: -0.019414 Loss_D_fake 0.009268
[371/5000][5/535][37978] Loss_D: -0.031531 Loss_G: 0.007998 Loss_D_real: -0.017344 Loss_D_fake 0.014187
[371/5000][10/535][37979] Loss_D: -0.029921 Loss_G: 0.003733 Loss_D_real: -0.013827 Loss_D_fake 0.016094
[371/5000][15/535][37980] Loss_D: -0.028945 Loss_G: 0.022256 Loss_D_real: -0.020748 Loss_D_fake 0.008197
[371/5000][20/535][37981] Loss_D: -0.029814 Loss_G: 0.022357 Loss_D_real: -0.019501 Loss_D_fake 0.010313
[371/5000][25/535][37982] Loss_D: -0.030928 Loss_G: 0.029494 Loss_D_real: -0.022789 Loss_D_fake 0.008139
[371/5000][30/535][37983] Loss_D: -0.029720 Loss_G: 0.006184 Loss_D_real: -0.016386 Loss_D_fake 0.013334
[371/5000][35/535][37984] Loss_D: -0.030427 Loss_G: 0.031439 Loss_D_real: -0.026361 Loss_D_fake 0.004066
[371/5000][40/535][37985] Loss_D: -0.030561 Loss_G: 0.016716 Loss_D_real: -0.016242 Loss_D_fake 0.014319
[371/5000][45/535][37986] Loss_D: -0.030335 Loss_G: -0.001918 Loss_D_real: -0.002007 Loss_D_fake 0.028328
[371/5000][50/535][37987] Loss_D: -0.028799 Loss_G: 0.013615 Loss_D_real: -0.017650 Loss_D_fake 0.011149
[371/5000][55/535][37988] Loss_D: -0.030206 Loss_G: 0.010196 Loss_D_real: -0.014593 Loss_D_fake 0.015613
[371/5000][60/535][37989] Loss_D: -0.029875 Loss_G: 0.039234 Loss_D_real: -0.035167 Loss_D_fake -0.005293
[371/5000][65/535][37990] Loss_D: -0.030346 Loss_G: 0.009661 Loss_D_real: -0.018038 Loss_D_fake 0.012308
[371/5000][70/535][37991] Loss_D: -0.029986 Loss_G: 0.016384 Loss_D_real: -0.015499 Loss_D_fake 0.014487
[371/5000][75/535][37992] Loss_D: -0.029008 Loss_G: -0.002067 Loss_D_real: -0.012579 Loss_D_fake 0.016429
[371/5000][80/535][37993] Loss_D: -0.029536 Loss_G: 0.032202 Loss_D_real: -0.026039 Loss_D_fake 0.003497
[371/5000][85/535][37994] Loss_D: -0.030361 Loss_G: -0.005069 Loss_D_real: -0.004541 Loss_D_fake 0.025821
[371/5000][90/535][37995] Loss_D: -0.029407 Loss_G: 0.015084 Loss_D_real: -0.021697 Loss_D_fake 0.007710
[371/5000][95/535][37996] Loss_D: -0.025818 Loss_G: 0.038362 Loss_D_real: -0.035412 Loss_D_fake -0.009594
[371/5000][100/535][37997] Loss_D: -0.029415 Loss_G: -0.000086 Loss_D_real: -0.008713 Loss_D_fake 0.020702
[371/5000][105/535][37998] Loss_D: -0.028793 Loss_G: 0.019248 Loss_D_real: -0.022364 Loss_D_fake 0.006429
[371/5000][110/535][37999] Loss_D: -0.029851 Loss_G: 0.000584 Loss_D_real: -0.015955 Loss_D_fake 0.013896
[371/5000][115/535][38000] Loss_D: -0.028884 Loss_G: 0.020037 Loss_D_real: -0.028175 Loss_D_fake 0.000709
[371/5000][215/535][38001] Loss_D: -0.032171 Loss_G: -0.009361 Loss_D_real: 0.003580 Loss_D_fake 0.035751
[371/5000][220/535][38002] Loss_D: -0.030778 Loss_G: 0.019741 Loss_D_real: -0.020975 Loss_D_fake 0.009803
[371/5000][225/535][38003] Loss_D: -0.027530 Loss_G: 0.003596 Loss_D_real: -0.013751 Loss_D_fake 0.013779
[371/5000][230/535][38004] Loss_D: -0.027887 Loss_G: 0.020866 Loss_D_real: -0.025052 Loss_D_fake 0.002835
[371/5000][235/535][38005] Loss_D: -0.027513 Loss_G: 0.003401 Loss_D_real: -0.008462 Loss_D_fake 0.019051
[371/5000][240/535][38006] Loss_D: -0.028776 Loss_G: 0.013323 Loss_D_real: -0.016008 Loss_D_fake 0.012767
[371/5000][245/535][38007] Loss_D: -0.030143 Loss_G: 0.015974 Loss_D_real: -0.016417 Loss_D_fake 0.013726
[371/5000][250/535][38008] Loss_D: -0.029835 Loss_G: 0.019994 Loss_D_real: -0.021884 Loss_D_fake 0.007951
[371/5000][255/535][38009] Loss_D: -0.029995 Loss_G: 0.019353 Loss_D_real: -0.015504 Loss_D_fake 0.014491
[371/5000][260/535][38010] Loss_D: -0.028036 Loss_G: 0.009465 Loss_D_real: -0.010976 Loss_D_fake 0.017060
[371/5000][265/535][38011] Loss_D: -0.028806 Loss_G: 0.030294 Loss_D_real: -0.028897 Loss_D_fake -0.000091
[371/5000][270/535][38012] Loss_D: -0.028624 Loss_G: -0.012257 Loss_D_real: -0.003504 Loss_D_fake 0.025120
[371/5000][275/535][38013] Loss_D: -0.028044 Loss_G: 0.025318 Loss_D_real: -0.036034 Loss_D_fake -0.007991
[371/5000][280/535][38014] Loss_D: -0.028041 Loss_G: 0.005662 Loss_D_real: -0.005121 Loss_D_fake 0.022920
[371/5000][285/535][38015] Loss_D: -0.029142 Loss_G: 0.013988 Loss_D_real: -0.014576 Loss_D_fake 0.014565
[371/5000][290/535][38016] Loss_D: -0.028081 Loss_G: 0.015097 Loss_D_real: -0.012039 Loss_D_fake 0.016042
[371/5000][295/535][38017] Loss_D: -0.030203 Loss_G: 0.015684 Loss_D_real: -0.024506 Loss_D_fake 0.005697
[371/5000][300/535][38018] Loss_D: -0.029780 Loss_G: 0.024620 Loss_D_real: -0.024267 Loss_D_fake 0.005514
[371/5000][305/535][38019] Loss_D: -0.029073 Loss_G: -0.007784 Loss_D_real: -0.008017 Loss_D_fake 0.021056
[371/5000][310/535][38020] Loss_D: -0.028302 Loss_G: 0.023393 Loss_D_real: -0.028195 Loss_D_fake 0.000107
[371/5000][315/535][38021] Loss_D: -0.029229 Loss_G: 0.020585 Loss_D_real: -0.024245 Loss_D_fake 0.004984
[371/5000][320/535][38022] Loss_D: -0.031597 Loss_G: 0.013568 Loss_D_real: -0.018970 Loss_D_fake 0.012627
[371/5000][325/535][38023] Loss_D: -0.030433 Loss_G: 0.015649 Loss_D_real: -0.016186 Loss_D_fake 0.014247
[371/5000][330/535][38024] Loss_D: -0.028291 Loss_G: 0.017969 Loss_D_real: -0.033381 Loss_D_fake -0.005090
[371/5000][335/535][38025] Loss_D: -0.029670 Loss_G: 0.007090 Loss_D_real: -0.013321 Loss_D_fake 0.016350
[371/5000][340/535][38026] Loss_D: -0.029005 Loss_G: 0.031482 Loss_D_real: -0.043057 Loss_D_fake -0.014053
[371/5000][345/535][38027] Loss_D: -0.030654 Loss_G: -0.000966 Loss_D_real: -0.017955 Loss_D_fake 0.012699
[371/5000][350/535][38028] Loss_D: -0.029237 Loss_G: 0.020112 Loss_D_real: -0.029386 Loss_D_fake -0.000149
[371/5000][355/535][38029] Loss_D: -0.030063 Loss_G: 0.014296 Loss_D_real: -0.019492 Loss_D_fake 0.010570
[371/5000][360/535][38030] Loss_D: -0.029950 Loss_G: 0.030313 Loss_D_real: -0.022516 Loss_D_fake 0.007434
[371/5000][365/535][38031] Loss_D: -0.029079 Loss_G: 0.016150 Loss_D_real: -0.018100 Loss_D_fake 0.010979
[371/5000][370/535][38032] Loss_D: -0.030134 Loss_G: 0.024370 Loss_D_real: -0.022201 Loss_D_fake 0.007933
[371/5000][375/535][38033] Loss_D: -0.028927 Loss_G: 0.009833 Loss_D_real: -0.018932 Loss_D_fake 0.009995
[371/5000][380/535][38034] Loss_D: -0.028275 Loss_G: 0.031521 Loss_D_real: -0.038220 Loss_D_fake -0.009945
[371/5000][385/535][38035] Loss_D: -0.029412 Loss_G: 0.017326 Loss_D_real: -0.014444 Loss_D_fake 0.014967
[371/5000][390/535][38036] Loss_D: -0.029204 Loss_G: 0.021727 Loss_D_real: -0.025142 Loss_D_fake 0.004062
[371/5000][395/535][38037] Loss_D: -0.029835 Loss_G: 0.027192 Loss_D_real: -0.021644 Loss_D_fake 0.008192
[371/5000][400/535][38038] Loss_D: -0.027708 Loss_G: -0.002630 Loss_D_real: -0.003239 Loss_D_fake 0.024469
[371/5000][405/535][38039] Loss_D: -0.027807 Loss_G: 0.009626 Loss_D_real: -0.024703 Loss_D_fake 0.003104
[371/5000][410/535][38040] Loss_D: -0.029888 Loss_G: 0.027281 Loss_D_real: -0.035004 Loss_D_fake -0.005116
[371/5000][415/535][38041] Loss_D: -0.029448 Loss_G: -0.012194 Loss_D_real: 0.001898 Loss_D_fake 0.031346
[371/5000][420/535][38042] Loss_D: -0.027860 Loss_G: 0.018880 Loss_D_real: -0.018827 Loss_D_fake 0.009033
[371/5000][425/535][38043] Loss_D: -0.029824 Loss_G: 0.028434 Loss_D_real: -0.033156 Loss_D_fake -0.003331
[371/5000][430/535][38044] Loss_D: -0.030984 Loss_G: 0.023992 Loss_D_real: -0.028629 Loss_D_fake 0.002356
[371/5000][435/535][38045] Loss_D: -0.030097 Loss_G: 0.009597 Loss_D_real: -0.010633 Loss_D_fake 0.019464
[371/5000][440/535][38046] Loss_D: -0.031172 Loss_G: 0.003394 Loss_D_real: -0.005619 Loss_D_fake 0.025553
[371/5000][445/535][38047] Loss_D: -0.030273 Loss_G: 0.011057 Loss_D_real: -0.025354 Loss_D_fake 0.004919
[371/5000][450/535][38048] Loss_D: -0.029380 Loss_G: 0.022624 Loss_D_real: -0.019524 Loss_D_fake 0.009856
[371/5000][455/535][38049] Loss_D: -0.029080 Loss_G: -0.008823 Loss_D_real: 0.000476 Loss_D_fake 0.029556
[371/5000][460/535][38050] Loss_D: -0.029350 Loss_G: 0.033707 Loss_D_real: -0.031952 Loss_D_fake -0.002602
[371/5000][465/535][38051] Loss_D: -0.030172 Loss_G: 0.000877 Loss_D_real: -0.007222 Loss_D_fake 0.022951
[371/5000][470/535][38052] Loss_D: -0.029670 Loss_G: 0.012385 Loss_D_real: -0.021043 Loss_D_fake 0.008627
[371/5000][475/535][38053] Loss_D: -0.029330 Loss_G: 0.025854 Loss_D_real: -0.028252 Loss_D_fake 0.001078
[371/5000][480/535][38054] Loss_D: -0.030602 Loss_G: 0.011424 Loss_D_real: -0.018489 Loss_D_fake 0.012113
[371/5000][485/535][38055] Loss_D: -0.029107 Loss_G: 0.014810 Loss_D_real: -0.025912 Loss_D_fake 0.003195
[371/5000][490/535][38056] Loss_D: -0.030219 Loss_G: 0.014346 Loss_D_real: -0.020483 Loss_D_fake 0.009736
[371/5000][495/535][38057] Loss_D: -0.029610 Loss_G: 0.033648 Loss_D_real: -0.029278 Loss_D_fake 0.000332
[371/5000][500/535][38058] Loss_D: -0.030397 Loss_G: 0.028333 Loss_D_real: -0.030488 Loss_D_fake -0.000092
[371/5000][505/535][38059] Loss_D: -0.028229 Loss_G: -0.015341 Loss_D_real: -0.002078 Loss_D_fake 0.026150
[371/5000][510/535][38060] Loss_D: -0.027740 Loss_G: 0.032343 Loss_D_real: -0.029740 Loss_D_fake -0.002000
[371/5000][515/535][38061] Loss_D: -0.029350 Loss_G: 0.007808 Loss_D_real: -0.001786 Loss_D_fake 0.027564
[371/5000][520/535][38062] Loss_D: -0.029295 Loss_G: 0.023769 Loss_D_real: -0.028078 Loss_D_fake 0.001217
[371/5000][525/535][38063] Loss_D: -0.029007 Loss_G: 0.033009 Loss_D_real: -0.027103 Loss_D_fake 0.001904
[371/5000][530/535][38064] Loss_D: -0.032122 Loss_G: 0.009431 Loss_D_real: -0.014890 Loss_D_fake 0.017232
[371/5000][535/535][38065] Loss_D: -0.029068 Loss_G: 0.010169 Loss_D_real: -0.029661 Loss_D_fake -0.000593
[372/5000][5/535][38066] Loss_D: -0.028312 Loss_G: 0.030336 Loss_D_real: -0.040387 Loss_D_fake -0.012075
[372/5000][10/535][38067] Loss_D: -0.029790 Loss_G: 0.008448 Loss_D_real: -0.017677 Loss_D_fake 0.012113
[372/5000][15/535][38068] Loss_D: -0.030507 Loss_G: 0.011074 Loss_D_real: -0.012256 Loss_D_fake 0.018252
[372/5000][20/535][38069] Loss_D: -0.028468 Loss_G: 0.037691 Loss_D_real: -0.030748 Loss_D_fake -0.002280
[372/5000][25/535][38070] Loss_D: -0.030814 Loss_G: 0.015068 Loss_D_real: -0.015584 Loss_D_fake 0.015230
[372/5000][30/535][38071] Loss_D: -0.029984 Loss_G: 0.004435 Loss_D_real: -0.020143 Loss_D_fake 0.009842
[372/5000][35/535][38072] Loss_D: -0.031042 Loss_G: 0.021380 Loss_D_real: -0.027147 Loss_D_fake 0.003895
[372/5000][40/535][38073] Loss_D: -0.029759 Loss_G: -0.006769 Loss_D_real: -0.001087 Loss_D_fake 0.028673
[372/5000][45/535][38074] Loss_D: -0.027607 Loss_G: 0.030237 Loss_D_real: -0.037720 Loss_D_fake -0.010113
[372/5000][50/535][38075] Loss_D: -0.029345 Loss_G: 0.026127 Loss_D_real: -0.018067 Loss_D_fake 0.011279
[372/5000][55/535][38076] Loss_D: -0.029504 Loss_G: 0.003518 Loss_D_real: -0.008833 Loss_D_fake 0.020671
[372/5000][60/535][38077] Loss_D: -0.029026 Loss_G: -0.002285 Loss_D_real: -0.018625 Loss_D_fake 0.010401
[372/5000][65/535][38078] Loss_D: -0.030796 Loss_G: 0.033714 Loss_D_real: -0.026314 Loss_D_fake 0.004482
[372/5000][70/535][38079] Loss_D: -0.031752 Loss_G: 0.010551 Loss_D_real: -0.016006 Loss_D_fake 0.015746
[372/5000][75/535][38080] Loss_D: -0.029687 Loss_G: 0.010750 Loss_D_real: -0.016936 Loss_D_fake 0.012751
[372/5000][80/535][38081] Loss_D: -0.029037 Loss_G: 0.032014 Loss_D_real: -0.026429 Loss_D_fake 0.002608
[372/5000][85/535][38082] Loss_D: -0.029946 Loss_G: 0.021665 Loss_D_real: -0.032889 Loss_D_fake -0.002943
[372/5000][90/535][38083] Loss_D: -0.029448 Loss_G: 0.010541 Loss_D_real: -0.020160 Loss_D_fake 0.009287
[372/5000][95/535][38084] Loss_D: -0.030291 Loss_G: 0.030831 Loss_D_real: -0.033139 Loss_D_fake -0.002848
[372/5000][100/535][38085] Loss_D: -0.029685 Loss_G: 0.001180 Loss_D_real: -0.009768 Loss_D_fake 0.019918
[372/5000][105/535][38086] Loss_D: -0.028044 Loss_G: 0.018587 Loss_D_real: -0.022219 Loss_D_fake 0.005825
[372/5000][110/535][38087] Loss_D: -0.029250 Loss_G: 0.027039 Loss_D_real: -0.031737 Loss_D_fake -0.002487
[372/5000][115/535][38088] Loss_D: -0.030202 Loss_G: 0.039253 Loss_D_real: -0.038040 Loss_D_fake -0.007838
[372/5000][120/535][38089] Loss_D: -0.029570 Loss_G: 0.025731 Loss_D_real: -0.026459 Loss_D_fake 0.003111
[372/5000][125/535][38090] Loss_D: -0.030403 Loss_G: 0.016370 Loss_D_real: -0.008483 Loss_D_fake 0.021920
[372/5000][130/535][38091] Loss_D: -0.027537 Loss_G: 0.037108 Loss_D_real: -0.033099 Loss_D_fake -0.005562
[372/5000][135/535][38092] Loss_D: -0.030271 Loss_G: 0.006380 Loss_D_real: -0.009371 Loss_D_fake 0.020900
[372/5000][140/535][38093] Loss_D: -0.028745 Loss_G: 0.031111 Loss_D_real: -0.037168 Loss_D_fake -0.008423
[372/5000][145/535][38094] Loss_D: -0.028704 Loss_G: 0.004715 Loss_D_real: -0.003037 Loss_D_fake 0.025667
[372/5000][150/535][38095] Loss_D: -0.029317 Loss_G: 0.030748 Loss_D_real: -0.029951 Loss_D_fake -0.000634
[372/5000][155/535][38096] Loss_D: -0.030196 Loss_G: 0.009242 Loss_D_real: -0.026232 Loss_D_fake 0.003964
[372/5000][160/535][38097] Loss_D: -0.031451 Loss_G: 0.000916 Loss_D_real: -0.012052 Loss_D_fake 0.019398
[372/5000][165/535][38098] Loss_D: -0.030144 Loss_G: -0.006056 Loss_D_real: -0.003835 Loss_D_fake 0.026308
[372/5000][170/535][38099] Loss_D: -0.029871 Loss_G: 0.009655 Loss_D_real: -0.014046 Loss_D_fake 0.015824
[372/5000][175/535][38100] Loss_D: -0.029638 Loss_G: 0.007735 Loss_D_real: -0.008759 Loss_D_fake 0.020879
[372/5000][180/535][38101] Loss_D: -0.030695 Loss_G: 0.016823 Loss_D_real: -0.015471 Loss_D_fake 0.015225
[372/5000][185/535][38102] Loss_D: -0.029467 Loss_G: 0.019181 Loss_D_real: -0.028001 Loss_D_fake 0.001466
[372/5000][190/535][38103] Loss_D: -0.030229 Loss_G: 0.015732 Loss_D_real: -0.025648 Loss_D_fake 0.004581
[372/5000][195/535][38104] Loss_D: -0.028987 Loss_G: 0.021007 Loss_D_real: -0.021630 Loss_D_fake 0.007358
[372/5000][200/535][38105] Loss_D: -0.029257 Loss_G: 0.007462 Loss_D_real: -0.008686 Loss_D_fake 0.020571
[372/5000][205/535][38106] Loss_D: -0.029274 Loss_G: 0.000175 Loss_D_real: -0.020022 Loss_D_fake 0.009252
[372/5000][210/535][38107] Loss_D: -0.028763 Loss_G: 0.022144 Loss_D_real: -0.021331 Loss_D_fake 0.007432
[372/5000][215/535][38108] Loss_D: -0.028594 Loss_G: 0.037893 Loss_D_real: -0.028210 Loss_D_fake 0.000384
[372/5000][220/535][38109] Loss_D: -0.029160 Loss_G: 0.019245 Loss_D_real: -0.016562 Loss_D_fake 0.012598
[372/5000][225/535][38110] Loss_D: -0.028010 Loss_G: 0.037842 Loss_D_real: -0.033880 Loss_D_fake -0.005870
[372/5000][230/535][38111] Loss_D: -0.029086 Loss_G: 0.015941 Loss_D_real: -0.023440 Loss_D_fake 0.005646
[372/5000][235/535][38112] Loss_D: -0.029510 Loss_G: 0.010568 Loss_D_real: -0.019082 Loss_D_fake 0.010428
[372/5000][240/535][38113] Loss_D: -0.029609 Loss_G: -0.010761 Loss_D_real: -0.003985 Loss_D_fake 0.025624
[372/5000][245/535][38114] Loss_D: -0.026311 Loss_G: 0.035127 Loss_D_real: -0.041364 Loss_D_fake -0.015053
[372/5000][250/535][38115] Loss_D: -0.030558 Loss_G: 0.006851 Loss_D_real: -0.007695 Loss_D_fake 0.022863
[372/5000][255/535][38116] Loss_D: -0.029778 Loss_G: 0.023893 Loss_D_real: -0.017594 Loss_D_fake 0.012184
[372/5000][260/535][38117] Loss_D: -0.028364 Loss_G: -0.001555 Loss_D_real: -0.009357 Loss_D_fake 0.019007
[372/5000][265/535][38118] Loss_D: -0.028830 Loss_G: -0.004428 Loss_D_real: -0.003399 Loss_D_fake 0.025431
[372/5000][270/535][38119] Loss_D: -0.029515 Loss_G: 0.014219 Loss_D_real: -0.027905 Loss_D_fake 0.001610
[372/5000][275/535][38120] Loss_D: -0.029079 Loss_G: 0.010452 Loss_D_real: -0.021985 Loss_D_fake 0.007095
[372/5000][280/535][38121] Loss_D: -0.029668 Loss_G: 0.009488 Loss_D_real: -0.020631 Loss_D_fake 0.009037
[372/5000][285/535][38122] Loss_D: -0.030277 Loss_G: 0.003052 Loss_D_real: -0.015407 Loss_D_fake 0.014870
[372/5000][290/535][38123] Loss_D: -0.029234 Loss_G: 0.032014 Loss_D_real: -0.029999 Loss_D_fake -0.000765
[372/5000][295/535][38124] Loss_D: -0.029764 Loss_G: 0.031685 Loss_D_real: -0.028929 Loss_D_fake 0.000835
[372/5000][300/535][38125] Loss_D: -0.030645 Loss_G: 0.027196 Loss_D_real: -0.026649 Loss_D_fake 0.003997
[372/5000][305/535][38126] Loss_D: -0.030545 Loss_G: 0.031703 Loss_D_real: -0.031650 Loss_D_fake -0.001105
[372/5000][310/535][38127] Loss_D: -0.031515 Loss_G: 0.013394 Loss_D_real: -0.018881 Loss_D_fake 0.012634
[372/5000][315/535][38128] Loss_D: -0.030132 Loss_G: 0.011671 Loss_D_real: -0.016594 Loss_D_fake 0.013538
[372/5000][320/535][38129] Loss_D: -0.031053 Loss_G: 0.005134 Loss_D_real: -0.017942 Loss_D_fake 0.013111
[372/5000][325/535][38130] Loss_D: -0.030563 Loss_G: 0.030160 Loss_D_real: -0.025422 Loss_D_fake 0.005140
[372/5000][330/535][38131] Loss_D: -0.029594 Loss_G: 0.033164 Loss_D_real: -0.035643 Loss_D_fake -0.006049
[372/5000][335/535][38132] Loss_D: -0.029555 Loss_G: 0.031077 Loss_D_real: -0.040484 Loss_D_fake -0.010929
[372/5000][340/535][38133] Loss_D: -0.030124 Loss_G: 0.000506 Loss_D_real: 0.000999 Loss_D_fake 0.031123
[372/5000][345/535][38134] Loss_D: -0.028980 Loss_G: 0.017923 Loss_D_real: -0.016464 Loss_D_fake 0.012517
[372/5000][350/535][38135] Loss_D: -0.030662 Loss_G: 0.006066 Loss_D_real: -0.015845 Loss_D_fake 0.014817
[372/5000][355/535][38136] Loss_D: -0.029973 Loss_G: 0.034907 Loss_D_real: -0.030806 Loss_D_fake -0.000833
[372/5000][360/535][38137] Loss_D: -0.027605 Loss_G: -0.020684 Loss_D_real: 0.009057 Loss_D_fake 0.036662
[372/5000][365/535][38138] Loss_D: -0.028032 Loss_G: 0.031117 Loss_D_real: -0.025119 Loss_D_fake 0.002913
[372/5000][370/535][38139] Loss_D: -0.028801 Loss_G: 0.019808 Loss_D_real: -0.025048 Loss_D_fake 0.003753
[372/5000][375/535][38140] Loss_D: -0.028038 Loss_G: -0.004406 Loss_D_real: 0.001962 Loss_D_fake 0.030001
[372/5000][380/535][38141] Loss_D: -0.028808 Loss_G: 0.021253 Loss_D_real: -0.022686 Loss_D_fake 0.006122
[372/5000][385/535][38142] Loss_D: -0.028587 Loss_G: 0.007617 Loss_D_real: -0.017533 Loss_D_fake 0.011054
[372/5000][390/535][38143] Loss_D: -0.029711 Loss_G: 0.011475 Loss_D_real: -0.012423 Loss_D_fake 0.017288
[372/5000][395/535][38144] Loss_D: -0.030266 Loss_G: 0.024149 Loss_D_real: -0.028485 Loss_D_fake 0.001782
[372/5000][400/535][38145] Loss_D: -0.030987 Loss_G: 0.016418 Loss_D_real: -0.014918 Loss_D_fake 0.016068
[372/5000][405/535][38146] Loss_D: -0.027792 Loss_G: -0.012026 Loss_D_real: 0.003245 Loss_D_fake 0.031037
[372/5000][410/535][38147] Loss_D: -0.028581 Loss_G: 0.010095 Loss_D_real: -0.017288 Loss_D_fake 0.011293
[372/5000][415/535][38148] Loss_D: -0.027667 Loss_G: 0.029929 Loss_D_real: -0.019124 Loss_D_fake 0.008543
[372/5000][420/535][38149] Loss_D: -0.028657 Loss_G: 0.000398 Loss_D_real: -0.009652 Loss_D_fake 0.019005
[372/5000][425/535][38150] Loss_D: -0.029868 Loss_G: 0.031114 Loss_D_real: -0.027584 Loss_D_fake 0.002284
[372/5000][430/535][38151] Loss_D: -0.028925 Loss_G: 0.014907 Loss_D_real: -0.022917 Loss_D_fake 0.006008
[372/5000][435/535][38152] Loss_D: -0.030959 Loss_G: 0.009672 Loss_D_real: -0.016126 Loss_D_fake 0.014834
[372/5000][440/535][38153] Loss_D: -0.031559 Loss_G: 0.008927 Loss_D_real: -0.017794 Loss_D_fake 0.013765
[372/5000][445/535][38154] Loss_D: -0.030511 Loss_G: 0.022255 Loss_D_real: -0.029249 Loss_D_fake 0.001262
[372/5000][450/535][38155] Loss_D: -0.030913 Loss_G: 0.005151 Loss_D_real: -0.016393 Loss_D_fake 0.014519
[372/5000][455/535][38156] Loss_D: -0.031406 Loss_G: 0.023454 Loss_D_real: -0.023131 Loss_D_fake 0.008275
[372/5000][460/535][38157] Loss_D: -0.031049 Loss_G: 0.017321 Loss_D_real: -0.017939 Loss_D_fake 0.013110
[372/5000][465/535][38158] Loss_D: -0.030684 Loss_G: 0.000097 Loss_D_real: -0.012510 Loss_D_fake 0.018174
[372/5000][470/535][38159] Loss_D: -0.030330 Loss_G: 0.014860 Loss_D_real: -0.019949 Loss_D_fake 0.010381
[372/5000][475/535][38160] Loss_D: -0.029543 Loss_G: 0.014851 Loss_D_real: -0.011099 Loss_D_fake 0.018444
[372/5000][480/535][38161] Loss_D: -0.029436 Loss_G: 0.035168 Loss_D_real: -0.029305 Loss_D_fake 0.000131
[372/5000][485/535][38162] Loss_D: -0.028869 Loss_G: 0.026496 Loss_D_real: -0.021265 Loss_D_fake 0.007604
[372/5000][490/535][38163] Loss_D: -0.028862 Loss_G: 0.014629 Loss_D_real: -0.020107 Loss_D_fake 0.008754
[372/5000][495/535][38164] Loss_D: -0.028770 Loss_G: 0.014924 Loss_D_real: -0.016078 Loss_D_fake 0.012692
[372/5000][500/535][38165] Loss_D: -0.030075 Loss_G: -0.001161 Loss_D_real: -0.016379 Loss_D_fake 0.013696
[372/5000][505/535][38166] Loss_D: -0.027791 Loss_G: 0.036365 Loss_D_real: -0.035758 Loss_D_fake -0.007968
[372/5000][510/535][38167] Loss_D: -0.030539 Loss_G: 0.012027 Loss_D_real: -0.020918 Loss_D_fake 0.009621
[372/5000][515/535][38168] Loss_D: -0.030080 Loss_G: 0.034480 Loss_D_real: -0.025709 Loss_D_fake 0.004371
[372/5000][520/535][38169] Loss_D: -0.028812 Loss_G: -0.006482 Loss_D_real: -0.011825 Loss_D_fake 0.016987
[372/5000][525/535][38170] Loss_D: -0.027860 Loss_G: 0.037640 Loss_D_real: -0.032827 Loss_D_fake -0.004967
[372/5000][530/535][38171] Loss_D: -0.029025 Loss_G: 0.010969 Loss_D_real: -0.014869 Loss_D_fake 0.014156
[372/5000][535/535][38172] Loss_D: -0.031929 Loss_G: -0.015753 Loss_D_real: -0.027136 Loss_D_fake 0.004793
[373/5000][5/535][38173] Loss_D: -0.027450 Loss_G: 0.030132 Loss_D_real: -0.027060 Loss_D_fake 0.000389
[373/5000][10/535][38174] Loss_D: -0.027776 Loss_G: -0.006716 Loss_D_real: 0.004387 Loss_D_fake 0.032163
[373/5000][15/535][38175] Loss_D: -0.027039 Loss_G: 0.020538 Loss_D_real: -0.028484 Loss_D_fake -0.001445
[373/5000][20/535][38176] Loss_D: -0.030144 Loss_G: 0.020789 Loss_D_real: -0.020323 Loss_D_fake 0.009820
[373/5000][25/535][38177] Loss_D: -0.029669 Loss_G: 0.018740 Loss_D_real: -0.018676 Loss_D_fake 0.010993
[373/5000][30/535][38178] Loss_D: -0.031223 Loss_G: 0.003345 Loss_D_real: -0.017491 Loss_D_fake 0.013731
[373/5000][35/535][38179] Loss_D: -0.029313 Loss_G: 0.009544 Loss_D_real: -0.012324 Loss_D_fake 0.016990
[373/5000][40/535][38180] Loss_D: -0.030901 Loss_G: 0.017775 Loss_D_real: -0.021191 Loss_D_fake 0.009710
[373/5000][45/535][38181] Loss_D: -0.031497 Loss_G: 0.015186 Loss_D_real: -0.026149 Loss_D_fake 0.005348
[373/5000][50/535][38182] Loss_D: -0.030221 Loss_G: 0.025709 Loss_D_real: -0.028434 Loss_D_fake 0.001788
[373/5000][55/535][38183] Loss_D: -0.031016 Loss_G: -0.011194 Loss_D_real: -0.008235 Loss_D_fake 0.022782
[373/5000][60/535][38184] Loss_D: -0.030113 Loss_G: 0.023161 Loss_D_real: -0.032850 Loss_D_fake -0.002737
[373/5000][65/535][38185] Loss_D: -0.029995 Loss_G: 0.016310 Loss_D_real: -0.015226 Loss_D_fake 0.014769
[373/5000][70/535][38186] Loss_D: -0.030469 Loss_G: -0.000697 Loss_D_real: -0.012601 Loss_D_fake 0.017868
[373/5000][75/535][38187] Loss_D: -0.030397 Loss_G: 0.024665 Loss_D_real: -0.028609 Loss_D_fake 0.001787
[373/5000][80/535][38188] Loss_D: -0.030166 Loss_G: 0.004992 Loss_D_real: -0.010133 Loss_D_fake 0.020033
[373/5000][85/535][38189] Loss_D: -0.028727 Loss_G: 0.033722 Loss_D_real: -0.036522 Loss_D_fake -0.007795
[373/5000][90/535][38190] Loss_D: -0.029723 Loss_G: -0.013211 Loss_D_real: 0.000948 Loss_D_fake 0.030671
[373/5000][95/535][38191] Loss_D: -0.028121 Loss_G: 0.029071 Loss_D_real: -0.030818 Loss_D_fake -0.002697
[373/5000][100/535][38192] Loss_D: -0.030309 Loss_G: 0.006190 Loss_D_real: -0.004931 Loss_D_fake 0.025378
[373/5000][105/535][38193] Loss_D: -0.028395 Loss_G: 0.010415 Loss_D_real: -0.022986 Loss_D_fake 0.005410
[373/5000][110/535][38194] Loss_D: -0.028518 Loss_G: -0.000407 Loss_D_real: -0.002739 Loss_D_fake 0.025779
[373/5000][115/535][38195] Loss_D: -0.029383 Loss_G: 0.023907 Loss_D_real: -0.020294 Loss_D_fake 0.009089
[373/5000][120/535][38196] Loss_D: -0.029507 Loss_G: 0.008410 Loss_D_real: -0.011277 Loss_D_fake 0.018230
[373/5000][125/535][38197] Loss_D: -0.029582 Loss_G: -0.003999 Loss_D_real: -0.008104 Loss_D_fake 0.021478
[373/5000][130/535][38198] Loss_D: -0.030269 Loss_G: 0.026711 Loss_D_real: -0.027247 Loss_D_fake 0.003022
[373/5000][135/535][38199] Loss_D: -0.030131 Loss_G: 0.001062 Loss_D_real: -0.011809 Loss_D_fake 0.018322
[373/5000][140/535][38200] Loss_D: -0.029158 Loss_G: 0.013190 Loss_D_real: -0.025381 Loss_D_fake 0.003777
[373/5000][145/535][38201] Loss_D: -0.028328 Loss_G: 0.018248 Loss_D_real: -0.021311 Loss_D_fake 0.007017
[373/5000][150/535][38202] Loss_D: -0.030519 Loss_G: 0.009564 Loss_D_real: -0.020480 Loss_D_fake 0.010039
[373/5000][155/535][38203] Loss_D: -0.028406 Loss_G: 0.005539 Loss_D_real: -0.009956 Loss_D_fake 0.018450
[373/5000][160/535][38204] Loss_D: -0.029460 Loss_G: 0.006583 Loss_D_real: -0.021148 Loss_D_fake 0.008312
[373/5000][165/535][38205] Loss_D: -0.030389 Loss_G: 0.021371 Loss_D_real: -0.022093 Loss_D_fake 0.008296
[373/5000][170/535][38206] Loss_D: -0.030485 Loss_G: 0.025763 Loss_D_real: -0.029132 Loss_D_fake 0.001353
[373/5000][175/535][38207] Loss_D: -0.029349 Loss_G: 0.005716 Loss_D_real: -0.020255 Loss_D_fake 0.009094
[373/5000][180/535][38208] Loss_D: -0.028607 Loss_G: 0.042260 Loss_D_real: -0.030389 Loss_D_fake -0.001782
[373/5000][185/535][38209] Loss_D: -0.030202 Loss_G: 0.010101 Loss_D_real: -0.012475 Loss_D_fake 0.017726
[373/5000][190/535][38210] Loss_D: -0.030768 Loss_G: 0.003572 Loss_D_real: -0.011720 Loss_D_fake 0.019048
[373/5000][195/535][38211] Loss_D: -0.028840 Loss_G: 0.037957 Loss_D_real: -0.028288 Loss_D_fake 0.000552
[373/5000][200/535][38212] Loss_D: -0.029367 Loss_G: 0.004715 Loss_D_real: -0.012002 Loss_D_fake 0.017366
[373/5000][205/535][38213] Loss_D: -0.027755 Loss_G: 0.028829 Loss_D_real: -0.027562 Loss_D_fake 0.000193
[373/5000][210/535][38214] Loss_D: -0.029687 Loss_G: 0.010495 Loss_D_real: -0.011990 Loss_D_fake 0.017697
[373/5000][215/535][38215] Loss_D: -0.029192 Loss_G: 0.019578 Loss_D_real: -0.019939 Loss_D_fake 0.009253
[373/5000][220/535][38216] Loss_D: -0.029506 Loss_G: 0.005924 Loss_D_real: -0.013818 Loss_D_fake 0.015688
[373/5000][225/535][38217] Loss_D: -0.028560 Loss_G: 0.032047 Loss_D_real: -0.031083 Loss_D_fake -0.002523
[373/5000][230/535][38218] Loss_D: -0.029921 Loss_G: -0.002040 Loss_D_real: 0.005547 Loss_D_fake 0.035468
[373/5000][235/535][38219] Loss_D: -0.030138 Loss_G: 0.007130 Loss_D_real: -0.016075 Loss_D_fake 0.014063
[373/5000][240/535][38220] Loss_D: -0.029771 Loss_G: 0.027449 Loss_D_real: -0.023682 Loss_D_fake 0.006089
[373/5000][245/535][38221] Loss_D: -0.030498 Loss_G: -0.018921 Loss_D_real: -0.007274 Loss_D_fake 0.023225
[373/5000][250/535][38222] Loss_D: -0.028356 Loss_G: 0.036709 Loss_D_real: -0.030997 Loss_D_fake -0.002641
[373/5000][255/535][38223] Loss_D: -0.030691 Loss_G: 0.002237 Loss_D_real: -0.004796 Loss_D_fake 0.025894
[373/5000][260/535][38224] Loss_D: -0.028909 Loss_G: 0.019737 Loss_D_real: -0.030131 Loss_D_fake -0.001222
[373/5000][265/535][38225] Loss_D: -0.030717 Loss_G: 0.007980 Loss_D_real: -0.015949 Loss_D_fake 0.014768
[373/5000][270/535][38226] Loss_D: -0.029085 Loss_G: -0.009410 Loss_D_real: -0.006506 Loss_D_fake 0.022579
[373/5000][275/535][38227] Loss_D: -0.028111 Loss_G: 0.023600 Loss_D_real: -0.026427 Loss_D_fake 0.001684
[373/5000][280/535][38228] Loss_D: -0.028966 Loss_G: 0.026086 Loss_D_real: -0.024345 Loss_D_fake 0.004621
[373/5000][285/535][38229] Loss_D: -0.029335 Loss_G: -0.001611 Loss_D_real: -0.003251 Loss_D_fake 0.026083
[373/5000][290/535][38230] Loss_D: -0.030169 Loss_G: 0.025205 Loss_D_real: -0.032885 Loss_D_fake -0.002716
[373/5000][295/535][38231] Loss_D: -0.030148 Loss_G: 0.025965 Loss_D_real: -0.027190 Loss_D_fake 0.002958
[373/5000][300/535][38232] Loss_D: -0.031081 Loss_G: 0.021748 Loss_D_real: -0.019361 Loss_D_fake 0.011720
[373/5000][305/535][38233] Loss_D: -0.029288 Loss_G: 0.017102 Loss_D_real: -0.015584 Loss_D_fake 0.013704
[373/5000][310/535][38234] Loss_D: -0.028835 Loss_G: 0.029965 Loss_D_real: -0.031699 Loss_D_fake -0.002864
[373/5000][315/535][38235] Loss_D: -0.028362 Loss_G: -0.002042 Loss_D_real: -0.006015 Loss_D_fake 0.022347
[373/5000][320/535][38236] Loss_D: -0.029478 Loss_G: 0.022675 Loss_D_real: -0.024792 Loss_D_fake 0.004686
[373/5000][325/535][38237] Loss_D: -0.029700 Loss_G: 0.015165 Loss_D_real: -0.019460 Loss_D_fake 0.010240
[373/5000][330/535][38238] Loss_D: -0.029388 Loss_G: 0.024023 Loss_D_real: -0.027576 Loss_D_fake 0.001813
[373/5000][335/535][38239] Loss_D: -0.029423 Loss_G: 0.011712 Loss_D_real: -0.029944 Loss_D_fake -0.000522
[373/5000][340/535][38240] Loss_D: -0.030279 Loss_G: 0.023505 Loss_D_real: -0.033963 Loss_D_fake -0.003684
[373/5000][345/535][38241] Loss_D: -0.032188 Loss_G: 0.022141 Loss_D_real: -0.020268 Loss_D_fake 0.011920
[373/5000][350/535][38242] Loss_D: -0.028297 Loss_G: -0.011904 Loss_D_real: -0.005624 Loss_D_fake 0.022673
[373/5000][355/535][38243] Loss_D: -0.027374 Loss_G: 0.016909 Loss_D_real: -0.021411 Loss_D_fake 0.005963
[373/5000][360/535][38244] Loss_D: -0.028346 Loss_G: 0.014824 Loss_D_real: -0.009111 Loss_D_fake 0.019236
[373/5000][365/535][38245] Loss_D: -0.027800 Loss_G: -0.000405 Loss_D_real: -0.015809 Loss_D_fake 0.011991
[373/5000][370/535][38246] Loss_D: -0.029737 Loss_G: 0.012573 Loss_D_real: -0.010598 Loss_D_fake 0.019138
[373/5000][375/535][38247] Loss_D: -0.031700 Loss_G: 0.023339 Loss_D_real: -0.021609 Loss_D_fake 0.010091
[373/5000][380/535][38248] Loss_D: -0.029380 Loss_G: -0.002396 Loss_D_real: -0.003214 Loss_D_fake 0.026166
[373/5000][385/535][38249] Loss_D: -0.028616 Loss_G: -0.001391 Loss_D_real: -0.010353 Loss_D_fake 0.018262
[373/5000][390/535][38250] Loss_D: -0.029100 Loss_G: 0.027565 Loss_D_real: -0.029218 Loss_D_fake -0.000118
[373/5000][395/535][38251] Loss_D: -0.030689 Loss_G: 0.014884 Loss_D_real: -0.024666 Loss_D_fake 0.006023
[373/5000][400/535][38252] Loss_D: -0.028190 Loss_G: 0.035868 Loss_D_real: -0.026346 Loss_D_fake 0.001844
[373/5000][405/535][38253] Loss_D: -0.028863 Loss_G: 0.027611 Loss_D_real: -0.030697 Loss_D_fake -0.001834
[373/5000][410/535][38254] Loss_D: -0.030968 Loss_G: 0.006234 Loss_D_real: -0.006628 Loss_D_fake 0.024340
[373/5000][415/535][38255] Loss_D: -0.030063 Loss_G: 0.016987 Loss_D_real: -0.020139 Loss_D_fake 0.009924
[373/5000][420/535][38256] Loss_D: -0.031809 Loss_G: 0.018519 Loss_D_real: -0.027728 Loss_D_fake 0.004081
[373/5000][425/535][38257] Loss_D: -0.030619 Loss_G: 0.004890 Loss_D_real: -0.012491 Loss_D_fake 0.018127
[373/5000][430/535][38258] Loss_D: -0.029910 Loss_G: 0.018025 Loss_D_real: -0.022442 Loss_D_fake 0.007468
[373/5000][435/535][38259] Loss_D: -0.029695 Loss_G: 0.032451 Loss_D_real: -0.035825 Loss_D_fake -0.006131
[373/5000][440/535][38260] Loss_D: -0.030694 Loss_G: 0.017718 Loss_D_real: -0.008306 Loss_D_fake 0.022388
[373/5000][445/535][38261] Loss_D: -0.029129 Loss_G: -0.021704 Loss_D_real: 0.000438 Loss_D_fake 0.029568
[373/5000][450/535][38262] Loss_D: -0.029891 Loss_G: 0.012412 Loss_D_real: -0.018556 Loss_D_fake 0.011335
[373/5000][455/535][38263] Loss_D: -0.028168 Loss_G: -0.004109 Loss_D_real: -0.010049 Loss_D_fake 0.018120
[373/5000][460/535][38264] Loss_D: -0.029701 Loss_G: 0.013473 Loss_D_real: -0.011792 Loss_D_fake 0.017910
[373/5000][465/535][38265] Loss_D: -0.028067 Loss_G: 0.039132 Loss_D_real: -0.033343 Loss_D_fake -0.005276
[373/5000][470/535][38266] Loss_D: -0.028285 Loss_G: 0.013569 Loss_D_real: -0.015188 Loss_D_fake 0.013097
[373/5000][475/535][38267] Loss_D: -0.029405 Loss_G: 0.005846 Loss_D_real: -0.003326 Loss_D_fake 0.026078
[373/5000][480/535][38268] Loss_D: -0.028047 Loss_G: 0.021768 Loss_D_real: -0.027990 Loss_D_fake 0.000057
[373/5000][485/535][38269] Loss_D: -0.028997 Loss_G: 0.017594 Loss_D_real: -0.020347 Loss_D_fake 0.008650
[373/5000][490/535][38270] Loss_D: -0.028911 Loss_G: -0.005194 Loss_D_real: -0.018108 Loss_D_fake 0.010803
[373/5000][495/535][38271] Loss_D: -0.028870 Loss_G: 0.000350 Loss_D_real: -0.020174 Loss_D_fake 0.008696
[373/5000][500/535][38272] Loss_D: -0.030683 Loss_G: 0.011635 Loss_D_real: -0.019868 Loss_D_fake 0.010815
[373/5000][505/535][38273] Loss_D: -0.029397 Loss_G: 0.046913 Loss_D_real: -0.038497 Loss_D_fake -0.009100
[373/5000][510/535][38274] Loss_D: -0.031162 Loss_G: 0.005849 Loss_D_real: -0.015599 Loss_D_fake 0.015562
[373/5000][515/535][38275] Loss_D: -0.028356 Loss_G: 0.028300 Loss_D_real: -0.023724 Loss_D_fake 0.004632
[373/5000][520/535][38276] Loss_D: -0.030165 Loss_G: 0.039599 Loss_D_real: -0.036704 Loss_D_fake -0.006539
[373/5000][525/535][38277] Loss_D: -0.030680 Loss_G: -0.000903 Loss_D_real: -0.008717 Loss_D_fake 0.021963
[373/5000][530/535][38278] Loss_D: -0.029306 Loss_G: 0.040984 Loss_D_real: -0.038860 Loss_D_fake -0.009555
[373/5000][535/535][38279] Loss_D: -0.032646 Loss_G: 0.020831 Loss_D_real: -0.020718 Loss_D_fake 0.011927
[374/5000][5/535][38280] Loss_D: -0.029474 Loss_G: 0.032502 Loss_D_real: -0.033779 Loss_D_fake -0.004304
[374/5000][10/535][38281] Loss_D: -0.031286 Loss_G: 0.004269 Loss_D_real: -0.002934 Loss_D_fake 0.028352
[374/5000][15/535][38282] Loss_D: -0.028210 Loss_G: -0.006424 Loss_D_real: 0.002889 Loss_D_fake 0.031099
[374/5000][20/535][38283] Loss_D: -0.029325 Loss_G: 0.022868 Loss_D_real: -0.023340 Loss_D_fake 0.005985
[374/5000][25/535][38284] Loss_D: -0.030158 Loss_G: 0.009759 Loss_D_real: -0.007699 Loss_D_fake 0.022459
[374/5000][30/535][38285] Loss_D: -0.030067 Loss_G: 0.024081 Loss_D_real: -0.030309 Loss_D_fake -0.000242
[374/5000][35/535][38286] Loss_D: -0.029417 Loss_G: 0.002064 Loss_D_real: -0.009949 Loss_D_fake 0.019469
[374/5000][40/535][38287] Loss_D: -0.028838 Loss_G: 0.004082 Loss_D_real: -0.014896 Loss_D_fake 0.013942
[374/5000][45/535][38288] Loss_D: -0.029989 Loss_G: 0.015381 Loss_D_real: -0.027243 Loss_D_fake 0.002747
[374/5000][50/535][38289] Loss_D: -0.029634 Loss_G: -0.005716 Loss_D_real: -0.012140 Loss_D_fake 0.017493
[374/5000][55/535][38290] Loss_D: -0.028263 Loss_G: 0.026307 Loss_D_real: -0.027867 Loss_D_fake 0.000396
[374/5000][60/535][38291] Loss_D: -0.029844 Loss_G: 0.012230 Loss_D_real: -0.016080 Loss_D_fake 0.013765
[374/5000][65/535][38292] Loss_D: -0.030251 Loss_G: 0.034103 Loss_D_real: -0.035624 Loss_D_fake -0.005373
[374/5000][70/535][38293] Loss_D: -0.028788 Loss_G: -0.007625 Loss_D_real: -0.002720 Loss_D_fake 0.026067
[374/5000][75/535][38294] Loss_D: -0.029131 Loss_G: 0.027816 Loss_D_real: -0.029635 Loss_D_fake -0.000504
[374/5000][80/535][38295] Loss_D: -0.029609 Loss_G: -0.001626 Loss_D_real: -0.000101 Loss_D_fake 0.029508
[374/5000][85/535][38296] Loss_D: -0.029272 Loss_G: 0.018902 Loss_D_real: -0.020092 Loss_D_fake 0.009180
[374/5000][90/535][38297] Loss_D: -0.029267 Loss_G: 0.028577 Loss_D_real: -0.027218 Loss_D_fake 0.002049
[374/5000][95/535][38298] Loss_D: -0.029282 Loss_G: 0.012482 Loss_D_real: -0.016390 Loss_D_fake 0.012892
[374/5000][100/535][38299] Loss_D: -0.026295 Loss_G: 0.041913 Loss_D_real: -0.028787 Loss_D_fake -0.002492
[374/5000][105/535][38300] Loss_D: -0.029016 Loss_G: 0.002259 Loss_D_real: -0.005011 Loss_D_fake 0.024004
[374/5000][110/535][38301] Loss_D: -0.029353 Loss_G: 0.024660 Loss_D_real: -0.022191 Loss_D_fake 0.007162
[374/5000][115/535][38302] Loss_D: -0.028610 Loss_G: 0.031892 Loss_D_real: -0.034501 Loss_D_fake -0.005891
[374/5000][120/535][38303] Loss_D: -0.031026 Loss_G: 0.001813 Loss_D_real: -0.007210 Loss_D_fake 0.023816
[374/5000][125/535][38304] Loss_D: -0.028851 Loss_G: 0.004769 Loss_D_real: -0.016179 Loss_D_fake 0.012671
[374/5000][130/535][38305] Loss_D: -0.028994 Loss_G: 0.033831 Loss_D_real: -0.027540 Loss_D_fake 0.001453
[374/5000][135/535][38306] Loss_D: -0.030579 Loss_G: 0.023718 Loss_D_real: -0.019247 Loss_D_fake 0.011332
[374/5000][140/535][38307] Loss_D: -0.028978 Loss_G: 0.034260 Loss_D_real: -0.031008 Loss_D_fake -0.002029
[374/5000][145/535][38308] Loss_D: -0.028076 Loss_G: -0.010731 Loss_D_real: 0.006945 Loss_D_fake 0.035021
[374/5000][150/535][38309] Loss_D: -0.027692 Loss_G: 0.000296 Loss_D_real: -0.008610 Loss_D_fake 0.019083
[374/5000][155/535][38310] Loss_D: -0.030135 Loss_G: 0.020606 Loss_D_real: -0.014702 Loss_D_fake 0.015433
[374/5000][160/535][38311] Loss_D: -0.029283 Loss_G: 0.031687 Loss_D_real: -0.036522 Loss_D_fake -0.007240
[374/5000][165/535][38312] Loss_D: -0.030146 Loss_G: 0.012817 Loss_D_real: -0.023807 Loss_D_fake 0.006338
[374/5000][170/535][38313] Loss_D: -0.028864 Loss_G: 0.029390 Loss_D_real: -0.027299 Loss_D_fake 0.001565
[374/5000][175/535][38314] Loss_D: -0.028147 Loss_G: -0.011455 Loss_D_real: -0.001796 Loss_D_fake 0.026351
[374/5000][180/535][38315] Loss_D: -0.027727 Loss_G: 0.011812 Loss_D_real: -0.008716 Loss_D_fake 0.019011
[374/5000][185/535][38316] Loss_D: -0.028050 Loss_G: 0.009210 Loss_D_real: -0.008606 Loss_D_fake 0.019444
[374/5000][190/535][38317] Loss_D: -0.029935 Loss_G: 0.022192 Loss_D_real: -0.019256 Loss_D_fake 0.010679
[374/5000][195/535][38318] Loss_D: -0.028980 Loss_G: 0.007906 Loss_D_real: -0.008932 Loss_D_fake 0.020048
[374/5000][200/535][38319] Loss_D: -0.029627 Loss_G: 0.030953 Loss_D_real: -0.032932 Loss_D_fake -0.003306
[374/5000][205/535][38320] Loss_D: -0.028169 Loss_G: 0.016941 Loss_D_real: -0.016594 Loss_D_fake 0.011575
[374/5000][210/535][38321] Loss_D: -0.029653 Loss_G: 0.018356 Loss_D_real: -0.028688 Loss_D_fake 0.000964
[374/5000][215/535][38322] Loss_D: -0.029692 Loss_G: 0.032285 Loss_D_real: -0.032313 Loss_D_fake -0.002622
[374/5000][220/535][38323] Loss_D: -0.028889 Loss_G: 0.010653 Loss_D_real: -0.013127 Loss_D_fake 0.015762
[374/5000][225/535][38324] Loss_D: -0.028418 Loss_G: 0.027541 Loss_D_real: -0.024281 Loss_D_fake 0.004138
[374/5000][230/535][38325] Loss_D: -0.028923 Loss_G: 0.017130 Loss_D_real: -0.019965 Loss_D_fake 0.008959
[374/5000][235/535][38326] Loss_D: -0.030720 Loss_G: 0.015218 Loss_D_real: -0.018300 Loss_D_fake 0.012419
[374/5000][240/535][38327] Loss_D: -0.029115 Loss_G: 0.024612 Loss_D_real: -0.022388 Loss_D_fake 0.006726
[374/5000][245/535][38328] Loss_D: -0.030176 Loss_G: 0.032235 Loss_D_real: -0.023476 Loss_D_fake 0.006699
[374/5000][250/535][38329] Loss_D: -0.028747 Loss_G: -0.011384 Loss_D_real: 0.001380 Loss_D_fake 0.030127
[374/5000][255/535][38330] Loss_D: -0.028087 Loss_G: 0.024170 Loss_D_real: -0.034665 Loss_D_fake -0.006578
[374/5000][260/535][38331] Loss_D: -0.029335 Loss_G: -0.001578 Loss_D_real: -0.003687 Loss_D_fake 0.025648
[374/5000][265/535][38332] Loss_D: -0.027510 Loss_G: 0.036994 Loss_D_real: -0.033837 Loss_D_fake -0.006327
[374/5000][270/535][38333] Loss_D: -0.030138 Loss_G: 0.005539 Loss_D_real: -0.006375 Loss_D_fake 0.023762
[374/5000][275/535][38334] Loss_D: -0.028525 Loss_G: 0.006775 Loss_D_real: -0.014542 Loss_D_fake 0.013982
[374/5000][280/535][38335] Loss_D: -0.030532 Loss_G: 0.026350 Loss_D_real: -0.032385 Loss_D_fake -0.001853
[374/5000][285/535][38336] Loss_D: -0.031575 Loss_G: 0.017813 Loss_D_real: -0.021162 Loss_D_fake 0.010412
[374/5000][290/535][38337] Loss_D: -0.029855 Loss_G: 0.028863 Loss_D_real: -0.026284 Loss_D_fake 0.003570
[374/5000][295/535][38338] Loss_D: -0.030979 Loss_G: -0.008104 Loss_D_real: -0.007878 Loss_D_fake 0.023101
[374/5000][300/535][38339] Loss_D: -0.029844 Loss_G: 0.033293 Loss_D_real: -0.037093 Loss_D_fake -0.007249
[374/5000][305/535][38340] Loss_D: -0.029719 Loss_G: 0.025125 Loss_D_real: -0.024632 Loss_D_fake 0.005087
[374/5000][310/535][38341] Loss_D: -0.029804 Loss_G: 0.020762 Loss_D_real: -0.019976 Loss_D_fake 0.009828
[374/5000][315/535][38342] Loss_D: -0.030049 Loss_G: 0.023062 Loss_D_real: -0.031196 Loss_D_fake -0.001148
[374/5000][320/535][38343] Loss_D: -0.029845 Loss_G: 0.006573 Loss_D_real: -0.015217 Loss_D_fake 0.014629
[374/5000][325/535][38344] Loss_D: -0.030461 Loss_G: 0.009103 Loss_D_real: -0.007859 Loss_D_fake 0.022602
[374/5000][330/535][38345] Loss_D: -0.030639 Loss_G: 0.014522 Loss_D_real: -0.016872 Loss_D_fake 0.013768
[374/5000][335/535][38346] Loss_D: -0.030932 Loss_G: 0.021505 Loss_D_real: -0.033342 Loss_D_fake -0.002411
[374/5000][340/535][38347] Loss_D: -0.030379 Loss_G: 0.008721 Loss_D_real: -0.015298 Loss_D_fake 0.015080
[374/5000][345/535][38348] Loss_D: -0.030220 Loss_G: 0.017577 Loss_D_real: -0.017229 Loss_D_fake 0.012991
[374/5000][350/535][38349] Loss_D: -0.030772 Loss_G: 0.010181 Loss_D_real: -0.018205 Loss_D_fake 0.012567
[374/5000][355/535][38350] Loss_D: -0.028895 Loss_G: -0.014259 Loss_D_real: -0.006873 Loss_D_fake 0.022022
[374/5000][360/535][38351] Loss_D: -0.029886 Loss_G: 0.026574 Loss_D_real: -0.019988 Loss_D_fake 0.009898
[374/5000][365/535][38352] Loss_D: -0.029761 Loss_G: 0.011614 Loss_D_real: -0.006739 Loss_D_fake 0.023022
[374/5000][370/535][38353] Loss_D: -0.029531 Loss_G: 0.032012 Loss_D_real: -0.027097 Loss_D_fake 0.002435
[374/5000][375/535][38354] Loss_D: -0.030367 Loss_G: 0.025189 Loss_D_real: -0.024236 Loss_D_fake 0.006130
[374/5000][380/535][38355] Loss_D: -0.028867 Loss_G: 0.003507 Loss_D_real: -0.016518 Loss_D_fake 0.012349
[374/5000][385/535][38356] Loss_D: -0.030255 Loss_G: 0.030804 Loss_D_real: -0.029506 Loss_D_fake 0.000749
[374/5000][390/535][38357] Loss_D: -0.029322 Loss_G: 0.004318 Loss_D_real: 0.001217 Loss_D_fake 0.030538
[374/5000][395/535][38358] Loss_D: -0.029718 Loss_G: 0.000063 Loss_D_real: -0.008782 Loss_D_fake 0.020935
[374/5000][400/535][38359] Loss_D: -0.029539 Loss_G: 0.028966 Loss_D_real: -0.023534 Loss_D_fake 0.006005
[374/5000][405/535][38360] Loss_D: -0.029183 Loss_G: 0.038212 Loss_D_real: -0.035729 Loss_D_fake -0.006547
[374/5000][410/535][38361] Loss_D: -0.029124 Loss_G: 0.017980 Loss_D_real: -0.021149 Loss_D_fake 0.007975
[374/5000][415/535][38362] Loss_D: -0.030610 Loss_G: 0.003859 Loss_D_real: -0.017220 Loss_D_fake 0.013390
[374/5000][420/535][38363] Loss_D: -0.029759 Loss_G: 0.026386 Loss_D_real: -0.019942 Loss_D_fake 0.009818
[374/5000][425/535][38364] Loss_D: -0.030238 Loss_G: -0.000459 Loss_D_real: -0.003682 Loss_D_fake 0.026556
[374/5000][430/535][38365] Loss_D: -0.028817 Loss_G: 0.022925 Loss_D_real: -0.021360 Loss_D_fake 0.007457
[374/5000][435/535][38366] Loss_D: -0.028551 Loss_G: 0.034480 Loss_D_real: -0.024026 Loss_D_fake 0.004524
[374/5000][440/535][38367] Loss_D: -0.028834 Loss_G: 0.001079 Loss_D_real: -0.009129 Loss_D_fake 0.019705
[374/5000][445/535][38368] Loss_D: -0.030438 Loss_G: 0.033657 Loss_D_real: -0.036704 Loss_D_fake -0.006265
[374/5000][450/535][38369] Loss_D: -0.029790 Loss_G: 0.010899 Loss_D_real: -0.009622 Loss_D_fake 0.020167
[374/5000][455/535][38370] Loss_D: -0.028277 Loss_G: 0.036103 Loss_D_real: -0.035970 Loss_D_fake -0.007692
[374/5000][460/535][38371] Loss_D: -0.029750 Loss_G: 0.004837 Loss_D_real: -0.003675 Loss_D_fake 0.026075
[374/5000][465/535][38372] Loss_D: -0.028397 Loss_G: 0.025939 Loss_D_real: -0.030443 Loss_D_fake -0.002046
[374/5000][470/535][38373] Loss_D: -0.029151 Loss_G: 0.005192 Loss_D_real: -0.004256 Loss_D_fake 0.024895
[374/5000][475/535][38374] Loss_D: -0.027807 Loss_G: 0.022134 Loss_D_real: -0.030519 Loss_D_fake -0.002712
[374/5000][480/535][38375] Loss_D: -0.028378 Loss_G: 0.000573 Loss_D_real: -0.007045 Loss_D_fake 0.021333
[374/5000][485/535][38376] Loss_D: -0.028811 Loss_G: 0.026243 Loss_D_real: -0.030435 Loss_D_fake -0.001624
[374/5000][490/535][38377] Loss_D: -0.029537 Loss_G: 0.007582 Loss_D_real: -0.007816 Loss_D_fake 0.021721
[374/5000][495/535][38378] Loss_D: -0.029372 Loss_G: 0.007822 Loss_D_real: -0.015744 Loss_D_fake 0.013628
[374/5000][500/535][38379] Loss_D: -0.030189 Loss_G: 0.009925 Loss_D_real: -0.012576 Loss_D_fake 0.017614
[374/5000][505/535][38380] Loss_D: -0.029114 Loss_G: 0.029673 Loss_D_real: -0.034340 Loss_D_fake -0.005226
[374/5000][510/535][38381] Loss_D: -0.030885 Loss_G: 0.006552 Loss_D_real: -0.015054 Loss_D_fake 0.015831
[374/5000][515/535][38382] Loss_D: -0.027442 Loss_G: 0.014934 Loss_D_real: -0.025212 Loss_D_fake 0.002229
[374/5000][520/535][38383] Loss_D: -0.029272 Loss_G: 0.023477 Loss_D_real: -0.019682 Loss_D_fake 0.009590
[374/5000][525/535][38384] Loss_D: -0.029413 Loss_G: 0.006737 Loss_D_real: -0.009607 Loss_D_fake 0.019805
[374/5000][530/535][38385] Loss_D: -0.028774 Loss_G: -0.002481 Loss_D_real: -0.004790 Loss_D_fake 0.023984
[374/5000][535/535][38386] Loss_D: -0.034016 Loss_G: 0.025906 Loss_D_real: -0.026490 Loss_D_fake 0.007526
[375/5000][5/535][38387] Loss_D: -0.029264 Loss_G: 0.007284 Loss_D_real: -0.015561 Loss_D_fake 0.013703
[375/5000][10/535][38388] Loss_D: -0.029842 Loss_G: 0.023846 Loss_D_real: -0.026044 Loss_D_fake 0.003797
[375/5000][15/535][38389] Loss_D: -0.030819 Loss_G: 0.027000 Loss_D_real: -0.031564 Loss_D_fake -0.000745
[375/5000][20/535][38390] Loss_D: -0.030615 Loss_G: 0.014894 Loss_D_real: -0.017555 Loss_D_fake 0.013061
[375/5000][25/535][38391] Loss_D: -0.029946 Loss_G: -0.001905 Loss_D_real: -0.005261 Loss_D_fake 0.024685
[375/5000][30/535][38392] Loss_D: -0.029276 Loss_G: 0.038167 Loss_D_real: -0.032810 Loss_D_fake -0.003534
[375/5000][35/535][38393] Loss_D: -0.028218 Loss_G: 0.025998 Loss_D_real: -0.025498 Loss_D_fake 0.002719
[375/5000][40/535][38394] Loss_D: -0.028360 Loss_G: 0.016023 Loss_D_real: -0.019659 Loss_D_fake 0.008701
[375/5000][45/535][38395] Loss_D: -0.028203 Loss_G: 0.036053 Loss_D_real: -0.030796 Loss_D_fake -0.002593
[375/5000][50/535][38396] Loss_D: -0.028227 Loss_G: -0.008254 Loss_D_real: -0.001070 Loss_D_fake 0.027156
[375/5000][55/535][38397] Loss_D: -0.027728 Loss_G: 0.013234 Loss_D_real: -0.017749 Loss_D_fake 0.009979
[375/5000][60/535][38398] Loss_D: -0.028662 Loss_G: 0.037280 Loss_D_real: -0.031136 Loss_D_fake -0.002474
[375/5000][65/535][38399] Loss_D: -0.030855 Loss_G: 0.006273 Loss_D_real: -0.010287 Loss_D_fake 0.020568
[375/5000][70/535][38400] Loss_D: -0.030191 Loss_G: 0.014215 Loss_D_real: -0.014822 Loss_D_fake 0.015369
[375/5000][75/535][38401] Loss_D: -0.031120 Loss_G: 0.023459 Loss_D_real: -0.028570 Loss_D_fake 0.002549
[375/5000][80/535][38402] Loss_D: -0.029450 Loss_G: -0.007379 Loss_D_real: 0.001055 Loss_D_fake 0.030505
[375/5000][85/535][38403] Loss_D: -0.028828 Loss_G: 0.008745 Loss_D_real: -0.018497 Loss_D_fake 0.010331
[375/5000][90/535][38404] Loss_D: -0.028269 Loss_G: 0.030145 Loss_D_real: -0.025099 Loss_D_fake 0.003170
[375/5000][95/535][38405] Loss_D: -0.030205 Loss_G: 0.020852 Loss_D_real: -0.024005 Loss_D_fake 0.006200
[375/5000][100/535][38406] Loss_D: -0.031119 Loss_G: 0.017268 Loss_D_real: -0.025104 Loss_D_fake 0.006015
[375/5000][105/535][38407] Loss_D: -0.031070 Loss_G: 0.038712 Loss_D_real: -0.028890 Loss_D_fake 0.002181
[375/5000][110/535][38408] Loss_D: -0.029924 Loss_G: -0.007281 Loss_D_real: -0.005478 Loss_D_fake 0.024446
[375/5000][115/535][38409] Loss_D: -0.030345 Loss_G: 0.022915 Loss_D_real: -0.021899 Loss_D_fake 0.008447
[375/5000][120/535][38410] Loss_D: -0.029863 Loss_G: -0.008441 Loss_D_real: -0.005896 Loss_D_fake 0.023968
[375/5000][125/535][38411] Loss_D: -0.028080 Loss_G: 0.025789 Loss_D_real: -0.025914 Loss_D_fake 0.002165
[375/5000][130/535][38412] Loss_D: -0.029411 Loss_G: 0.040287 Loss_D_real: -0.028696 Loss_D_fake 0.000715
[375/5000][135/535][38413] Loss_D: -0.028622 Loss_G: 0.018966 Loss_D_real: -0.018022 Loss_D_fake 0.010601
[375/5000][140/535][38414] Loss_D: -0.030280 Loss_G: 0.016544 Loss_D_real: -0.023510 Loss_D_fake 0.006769
[375/5000][145/535][38415] Loss_D: -0.030421 Loss_G: 0.031098 Loss_D_real: -0.027995 Loss_D_fake 0.002425
[375/5000][150/535][38416] Loss_D: -0.029714 Loss_G: -0.001508 Loss_D_real: -0.005988 Loss_D_fake 0.023726
[375/5000][155/535][38417] Loss_D: -0.028764 Loss_G: 0.025320 Loss_D_real: -0.028410 Loss_D_fake 0.000353
[375/5000][160/535][38418] Loss_D: -0.028321 Loss_G: -0.013748 Loss_D_real: -0.005607 Loss_D_fake 0.022713
[375/5000][165/535][38419] Loss_D: -0.029281 Loss_G: 0.022929 Loss_D_real: -0.035575 Loss_D_fake -0.006294
[375/5000][170/535][38420] Loss_D: -0.029124 Loss_G: 0.018141 Loss_D_real: -0.020687 Loss_D_fake 0.008437
[375/5000][175/535][38421] Loss_D: -0.029349 Loss_G: 0.005158 Loss_D_real: -0.022751 Loss_D_fake 0.006598
[375/5000][180/535][38422] Loss_D: -0.030546 Loss_G: 0.016428 Loss_D_real: -0.025944 Loss_D_fake 0.004602
[375/5000][185/535][38423] Loss_D: -0.031452 Loss_G: 0.003929 Loss_D_real: -0.014514 Loss_D_fake 0.016938
[375/5000][190/535][38424] Loss_D: -0.029418 Loss_G: 0.026692 Loss_D_real: -0.030358 Loss_D_fake -0.000940
[375/5000][195/535][38425] Loss_D: -0.031410 Loss_G: 0.015828 Loss_D_real: -0.026656 Loss_D_fake 0.004753
[375/5000][200/535][38426] Loss_D: -0.030565 Loss_G: 0.000030 Loss_D_real: -0.005110 Loss_D_fake 0.025455
[375/5000][205/535][38427] Loss_D: -0.029072 Loss_G: 0.002825 Loss_D_real: -0.014477 Loss_D_fake 0.014595
[375/5000][210/535][38428] Loss_D: -0.027745 Loss_G: 0.040191 Loss_D_real: -0.036940 Loss_D_fake -0.009196
[375/5000][215/535][38429] Loss_D: -0.030493 Loss_G: 0.018481 Loss_D_real: -0.022157 Loss_D_fake 0.008336
[375/5000][220/535][38430] Loss_D: -0.031605 Loss_G: 0.025858 Loss_D_real: -0.023001 Loss_D_fake 0.008605
[375/5000][225/535][38431] Loss_D: -0.031366 Loss_G: 0.011127 Loss_D_real: -0.025052 Loss_D_fake 0.006314
[375/5000][230/535][38432] Loss_D: -0.028974 Loss_G: 0.023538 Loss_D_real: -0.023171 Loss_D_fake 0.005803
[375/5000][235/535][38433] Loss_D: -0.029462 Loss_G: 0.003191 Loss_D_real: -0.005413 Loss_D_fake 0.024049
[375/5000][240/535][38434] Loss_D: -0.029707 Loss_G: 0.016234 Loss_D_real: -0.025337 Loss_D_fake 0.004370
[375/5000][245/535][38435] Loss_D: -0.029718 Loss_G: 0.019730 Loss_D_real: -0.024875 Loss_D_fake 0.004842
[375/5000][250/535][38436] Loss_D: -0.029940 Loss_G: 0.004277 Loss_D_real: -0.004835 Loss_D_fake 0.025105
[375/5000][255/535][38437] Loss_D: -0.030863 Loss_G: 0.031752 Loss_D_real: -0.020401 Loss_D_fake 0.010461
[375/5000][260/535][38438] Loss_D: -0.028192 Loss_G: -0.002636 Loss_D_real: -0.004922 Loss_D_fake 0.023271
[375/5000][265/535][38439] Loss_D: -0.029555 Loss_G: 0.024976 Loss_D_real: -0.015100 Loss_D_fake 0.014455
[375/5000][270/535][38440] Loss_D: -0.029540 Loss_G: 0.003495 Loss_D_real: -0.008295 Loss_D_fake 0.021246
[375/5000][275/535][38441] Loss_D: -0.028161 Loss_G: 0.032050 Loss_D_real: -0.034874 Loss_D_fake -0.006713
[375/5000][280/535][38442] Loss_D: -0.029044 Loss_G: -0.010797 Loss_D_real: -0.001422 Loss_D_fake 0.027622
[375/5000][285/535][38443] Loss_D: -0.027646 Loss_G: 0.026305 Loss_D_real: -0.033548 Loss_D_fake -0.005902
[375/5000][290/535][38444] Loss_D: -0.029909 Loss_G: 0.012811 Loss_D_real: -0.018582 Loss_D_fake 0.011326
[375/5000][295/535][38445] Loss_D: -0.028973 Loss_G: 0.019214 Loss_D_real: -0.029040 Loss_D_fake -0.000067
[375/5000][300/535][38446] Loss_D: -0.030917 Loss_G: 0.013221 Loss_D_real: -0.016512 Loss_D_fake 0.014405
[375/5000][305/535][38447] Loss_D: -0.030649 Loss_G: 0.007427 Loss_D_real: -0.011997 Loss_D_fake 0.018652
[375/5000][310/535][38448] Loss_D: -0.030242 Loss_G: 0.013676 Loss_D_real: -0.023446 Loss_D_fake 0.006796
[375/5000][315/535][38449] Loss_D: -0.031054 Loss_G: 0.017249 Loss_D_real: -0.026771 Loss_D_fake 0.004284
[375/5000][320/535][38450] Loss_D: -0.029330 Loss_G: 0.022759 Loss_D_real: -0.009095 Loss_D_fake 0.020236
[375/5000][325/535][38451] Loss_D: -0.029915 Loss_G: 0.024024 Loss_D_real: -0.023111 Loss_D_fake 0.006804
[375/5000][330/535][38452] Loss_D: -0.027489 Loss_G: 0.037461 Loss_D_real: -0.036372 Loss_D_fake -0.008883
[375/5000][335/535][38453] Loss_D: -0.029769 Loss_G: 0.012523 Loss_D_real: -0.014391 Loss_D_fake 0.015377
[375/5000][340/535][38454] Loss_D: -0.029617 Loss_G: 0.016511 Loss_D_real: -0.020977 Loss_D_fake 0.008641
[375/5000][345/535][38455] Loss_D: -0.029020 Loss_G: 0.017350 Loss_D_real: -0.014954 Loss_D_fake 0.014066
[375/5000][350/535][38456] Loss_D: -0.030448 Loss_G: 0.011948 Loss_D_real: -0.016935 Loss_D_fake 0.013512
[375/5000][355/535][38457] Loss_D: -0.028920 Loss_G: 0.003612 Loss_D_real: -0.018617 Loss_D_fake 0.010303
[375/5000][360/535][38458] Loss_D: -0.029405 Loss_G: 0.039996 Loss_D_real: -0.037158 Loss_D_fake -0.007753
[375/5000][365/535][38459] Loss_D: -0.029554 Loss_G: 0.016263 Loss_D_real: -0.026085 Loss_D_fake 0.003469
[375/5000][370/535][38460] Loss_D: -0.029482 Loss_G: 0.006530 Loss_D_real: -0.012435 Loss_D_fake 0.017047
[375/5000][375/535][38461] Loss_D: -0.028560 Loss_G: 0.015751 Loss_D_real: -0.021881 Loss_D_fake 0.006679
[375/5000][380/535][38462] Loss_D: -0.029529 Loss_G: 0.022242 Loss_D_real: -0.019245 Loss_D_fake 0.010284
[375/5000][385/535][38463] Loss_D: -0.028235 Loss_G: 0.027992 Loss_D_real: -0.029173 Loss_D_fake -0.000939
[375/5000][390/535][38464] Loss_D: -0.029190 Loss_G: -0.005965 Loss_D_real: -0.008067 Loss_D_fake 0.021124
[375/5000][395/535][38465] Loss_D: -0.027397 Loss_G: 0.040452 Loss_D_real: -0.045229 Loss_D_fake -0.017832
[375/5000][400/535][38466] Loss_D: -0.027634 Loss_G: 0.010187 Loss_D_real: -0.001592 Loss_D_fake 0.026042
[375/5000][405/535][38467] Loss_D: -0.029467 Loss_G: 0.013830 Loss_D_real: -0.019456 Loss_D_fake 0.010011
[375/5000][410/535][38468] Loss_D: -0.027570 Loss_G: 0.032942 Loss_D_real: -0.033876 Loss_D_fake -0.006306
[375/5000][415/535][38469] Loss_D: -0.030087 Loss_G: -0.000171 Loss_D_real: -0.000889 Loss_D_fake 0.029198
[375/5000][420/535][38470] Loss_D: -0.028336 Loss_G: 0.018967 Loss_D_real: -0.028055 Loss_D_fake 0.000281
[375/5000][425/535][38471] Loss_D: -0.029547 Loss_G: 0.034915 Loss_D_real: -0.036760 Loss_D_fake -0.007213
[375/5000][430/535][38472] Loss_D: -0.029719 Loss_G: -0.005166 Loss_D_real: -0.001184 Loss_D_fake 0.028534
[375/5000][435/535][38473] Loss_D: -0.029350 Loss_G: 0.014479 Loss_D_real: -0.010657 Loss_D_fake 0.018693
[375/5000][440/535][38474] Loss_D: -0.030633 Loss_G: -0.000752 Loss_D_real: -0.007778 Loss_D_fake 0.022855
[375/5000][445/535][38475] Loss_D: -0.028941 Loss_G: 0.024257 Loss_D_real: -0.031074 Loss_D_fake -0.002132
[375/5000][450/535][38476] Loss_D: -0.031646 Loss_G: 0.003453 Loss_D_real: -0.004759 Loss_D_fake 0.026887
[375/5000][455/535][38477] Loss_D: -0.028484 Loss_G: 0.006259 Loss_D_real: -0.009355 Loss_D_fake 0.019129
[375/5000][460/535][38478] Loss_D: -0.028426 Loss_G: 0.013836 Loss_D_real: -0.023829 Loss_D_fake 0.004597
[375/5000][465/535][38479] Loss_D: -0.028707 Loss_G: 0.035187 Loss_D_real: -0.029707 Loss_D_fake -0.001000
[375/5000][470/535][38480] Loss_D: -0.029858 Loss_G: 0.010223 Loss_D_real: -0.010955 Loss_D_fake 0.018903
[375/5000][475/535][38481] Loss_D: -0.028649 Loss_G: 0.008702 Loss_D_real: -0.019657 Loss_D_fake 0.008992
[375/5000][480/535][38482] Loss_D: -0.028770 Loss_G: 0.023321 Loss_D_real: -0.020354 Loss_D_fake 0.008416
[375/5000][485/535][38483] Loss_D: -0.027781 Loss_G: 0.015735 Loss_D_real: -0.021649 Loss_D_fake 0.006132
[375/5000][490/535][38484] Loss_D: -0.028224 Loss_G: 0.000355 Loss_D_real: -0.005621 Loss_D_fake 0.022603
[375/5000][495/535][38485] Loss_D: -0.028568 Loss_G: 0.029457 Loss_D_real: -0.036195 Loss_D_fake -0.007627
[375/5000][500/535][38486] Loss_D: -0.029953 Loss_G: 0.013075 Loss_D_real: -0.021211 Loss_D_fake 0.008742
[375/5000][505/535][38487] Loss_D: -0.029731 Loss_G: 0.011519 Loss_D_real: -0.018226 Loss_D_fake 0.011506
[375/5000][510/535][38488] Loss_D: -0.029571 Loss_G: 0.013128 Loss_D_real: -0.027849 Loss_D_fake 0.001722
[375/5000][515/535][38489] Loss_D: -0.027561 Loss_G: 0.043543 Loss_D_real: -0.031366 Loss_D_fake -0.003806
[375/5000][520/535][38490] Loss_D: -0.029245 Loss_G: -0.000523 Loss_D_real: -0.007680 Loss_D_fake 0.021565
[375/5000][525/535][38491] Loss_D: -0.030455 Loss_G: 0.025565 Loss_D_real: -0.043501 Loss_D_fake -0.013045
[375/5000][530/535][38492] Loss_D: -0.029561 Loss_G: 0.036477 Loss_D_real: -0.028755 Loss_D_fake 0.000806
[375/5000][535/535][38493] Loss_D: -0.035505 Loss_G: 0.030135 Loss_D_real: -0.022283 Loss_D_fake 0.013222
[376/5000][5/535][38494] Loss_D: -0.031288 Loss_G: 0.012695 Loss_D_real: -0.023907 Loss_D_fake 0.007381
[376/5000][10/535][38495] Loss_D: -0.031365 Loss_G: 0.021327 Loss_D_real: -0.034114 Loss_D_fake -0.002748
[376/5000][15/535][38496] Loss_D: -0.031267 Loss_G: 0.014778 Loss_D_real: -0.023358 Loss_D_fake 0.007909
[376/5000][20/535][38497] Loss_D: -0.027923 Loss_G: 0.045353 Loss_D_real: -0.035550 Loss_D_fake -0.007627
[376/5000][25/535][38498] Loss_D: -0.029992 Loss_G: 0.002483 Loss_D_real: 0.003577 Loss_D_fake 0.033569
[376/5000][30/535][38499] Loss_D: -0.025707 Loss_G: 0.028904 Loss_D_real: -0.036352 Loss_D_fake -0.010645
[376/5000][35/535][38500] Loss_D: -0.028085 Loss_G: -0.006979 Loss_D_real: -0.006352 Loss_D_fake 0.021733
[376/5000][135/535][38501] Loss_D: -0.029625 Loss_G: -0.011538 Loss_D_real: 0.006406 Loss_D_fake 0.036030
[376/5000][140/535][38502] Loss_D: -0.028680 Loss_G: 0.015986 Loss_D_real: -0.015495 Loss_D_fake 0.013185
[376/5000][145/535][38503] Loss_D: -0.027814 Loss_G: 0.014061 Loss_D_real: -0.019129 Loss_D_fake 0.008685
[376/5000][150/535][38504] Loss_D: -0.028265 Loss_G: 0.015519 Loss_D_real: -0.019679 Loss_D_fake 0.008586
[376/5000][155/535][38505] Loss_D: -0.029333 Loss_G: 0.014618 Loss_D_real: -0.017263 Loss_D_fake 0.012070
[376/5000][160/535][38506] Loss_D: -0.029053 Loss_G: 0.018471 Loss_D_real: -0.018651 Loss_D_fake 0.010403
[376/5000][165/535][38507] Loss_D: -0.029372 Loss_G: 0.013226 Loss_D_real: -0.020070 Loss_D_fake 0.009302
[376/5000][170/535][38508] Loss_D: -0.029853 Loss_G: 0.009491 Loss_D_real: -0.010247 Loss_D_fake 0.019606
[376/5000][175/535][38509] Loss_D: -0.028386 Loss_G: 0.007416 Loss_D_real: -0.003566 Loss_D_fake 0.024820
[376/5000][180/535][38510] Loss_D: -0.030124 Loss_G: 0.017614 Loss_D_real: -0.023690 Loss_D_fake 0.006434
[376/5000][185/535][38511] Loss_D: -0.029724 Loss_G: 0.004312 Loss_D_real: -0.013251 Loss_D_fake 0.016473
[376/5000][190/535][38512] Loss_D: -0.028264 Loss_G: 0.034109 Loss_D_real: -0.029849 Loss_D_fake -0.001585
[376/5000][195/535][38513] Loss_D: -0.029262 Loss_G: 0.016314 Loss_D_real: -0.022911 Loss_D_fake 0.006351
[376/5000][200/535][38514] Loss_D: -0.030831 Loss_G: 0.004399 Loss_D_real: -0.005305 Loss_D_fake 0.025527
[376/5000][205/535][38515] Loss_D: -0.027736 Loss_G: 0.001934 Loss_D_real: -0.010117 Loss_D_fake 0.017618
[376/5000][210/535][38516] Loss_D: -0.029148 Loss_G: 0.039513 Loss_D_real: -0.035199 Loss_D_fake -0.006050
[376/5000][215/535][38517] Loss_D: -0.029124 Loss_G: 0.009765 Loss_D_real: -0.021378 Loss_D_fake 0.007747
[376/5000][220/535][38518] Loss_D: -0.029800 Loss_G: 0.017726 Loss_D_real: -0.023266 Loss_D_fake 0.006533
[376/5000][225/535][38519] Loss_D: -0.027615 Loss_G: 0.034738 Loss_D_real: -0.034586 Loss_D_fake -0.006971
[376/5000][230/535][38520] Loss_D: -0.030894 Loss_G: 0.006129 Loss_D_real: -0.017701 Loss_D_fake 0.013193
[376/5000][235/535][38521] Loss_D: -0.029030 Loss_G: 0.035004 Loss_D_real: -0.037285 Loss_D_fake -0.008256
[376/5000][240/535][38522] Loss_D: -0.029979 Loss_G: 0.011386 Loss_D_real: -0.014336 Loss_D_fake 0.015643
[376/5000][245/535][38523] Loss_D: -0.028951 Loss_G: 0.010560 Loss_D_real: -0.016196 Loss_D_fake 0.012755
[376/5000][250/535][38524] Loss_D: -0.030445 Loss_G: 0.027419 Loss_D_real: -0.036759 Loss_D_fake -0.006314
[376/5000][255/535][38525] Loss_D: -0.029401 Loss_G: -0.005384 Loss_D_real: -0.001757 Loss_D_fake 0.027644
[376/5000][260/535][38526] Loss_D: -0.027552 Loss_G: 0.017008 Loss_D_real: -0.023527 Loss_D_fake 0.004025
[376/5000][265/535][38527] Loss_D: -0.027929 Loss_G: 0.033821 Loss_D_real: -0.036481 Loss_D_fake -0.008552
[376/5000][270/535][38528] Loss_D: -0.030595 Loss_G: 0.011807 Loss_D_real: -0.017017 Loss_D_fake 0.013577
[376/5000][275/535][38529] Loss_D: -0.030372 Loss_G: 0.014224 Loss_D_real: -0.014294 Loss_D_fake 0.016078
[376/5000][280/535][38530] Loss_D: -0.029997 Loss_G: -0.002976 Loss_D_real: -0.008606 Loss_D_fake 0.021391
[376/5000][285/535][38531] Loss_D: -0.030217 Loss_G: 0.013628 Loss_D_real: -0.026384 Loss_D_fake 0.003833
[376/5000][290/535][38532] Loss_D: -0.029417 Loss_G: 0.027342 Loss_D_real: -0.025970 Loss_D_fake 0.003448
[376/5000][295/535][38533] Loss_D: -0.030404 Loss_G: 0.017970 Loss_D_real: -0.019129 Loss_D_fake 0.011275
[376/5000][300/535][38534] Loss_D: -0.030548 Loss_G: 0.017740 Loss_D_real: -0.023050 Loss_D_fake 0.007498
[376/5000][305/535][38535] Loss_D: -0.029645 Loss_G: -0.000870 Loss_D_real: -0.004443 Loss_D_fake 0.025201
[376/5000][310/535][38536] Loss_D: -0.029671 Loss_G: 0.031350 Loss_D_real: -0.019905 Loss_D_fake 0.009766
[376/5000][315/535][38537] Loss_D: -0.029301 Loss_G: 0.009984 Loss_D_real: -0.015280 Loss_D_fake 0.014021
[376/5000][320/535][38538] Loss_D: -0.028940 Loss_G: 0.000986 Loss_D_real: -0.003928 Loss_D_fake 0.025011
[376/5000][325/535][38539] Loss_D: -0.028807 Loss_G: -0.011123 Loss_D_real: 0.002526 Loss_D_fake 0.031333
[376/5000][330/535][38540] Loss_D: -0.026870 Loss_G: 0.029956 Loss_D_real: -0.032263 Loss_D_fake -0.005393
[376/5000][335/535][38541] Loss_D: -0.028610 Loss_G: 0.001027 Loss_D_real: -0.004567 Loss_D_fake 0.024043
[376/5000][340/535][38542] Loss_D: -0.028766 Loss_G: 0.009101 Loss_D_real: -0.008271 Loss_D_fake 0.020495
[376/5000][345/535][38543] Loss_D: -0.028898 Loss_G: 0.024775 Loss_D_real: -0.030205 Loss_D_fake -0.001307
[376/5000][350/535][38544] Loss_D: -0.029175 Loss_G: 0.014844 Loss_D_real: -0.012855 Loss_D_fake 0.016320
[376/5000][355/535][38545] Loss_D: -0.030207 Loss_G: 0.028537 Loss_D_real: -0.028670 Loss_D_fake 0.001536
[376/5000][360/535][38546] Loss_D: -0.029966 Loss_G: 0.005318 Loss_D_real: -0.008219 Loss_D_fake 0.021747
[376/5000][365/535][38547] Loss_D: -0.027471 Loss_G: 0.023582 Loss_D_real: -0.034692 Loss_D_fake -0.007221
[376/5000][370/535][38548] Loss_D: -0.031388 Loss_G: 0.022116 Loss_D_real: -0.026187 Loss_D_fake 0.005201
[376/5000][375/535][38549] Loss_D: -0.031095 Loss_G: 0.015400 Loss_D_real: -0.024134 Loss_D_fake 0.006961
[376/5000][380/535][38550] Loss_D: -0.029605 Loss_G: 0.023318 Loss_D_real: -0.027008 Loss_D_fake 0.002597
[376/5000][385/535][38551] Loss_D: -0.030131 Loss_G: 0.021702 Loss_D_real: -0.027419 Loss_D_fake 0.002712
[376/5000][390/535][38552] Loss_D: -0.029905 Loss_G: 0.027531 Loss_D_real: -0.020788 Loss_D_fake 0.009117
[376/5000][395/535][38553] Loss_D: -0.029470 Loss_G: -0.001510 Loss_D_real: -0.006287 Loss_D_fake 0.023183
[376/5000][400/535][38554] Loss_D: -0.028765 Loss_G: 0.021305 Loss_D_real: -0.034412 Loss_D_fake -0.005647
[376/5000][405/535][38555] Loss_D: -0.030150 Loss_G: 0.015703 Loss_D_real: -0.015215 Loss_D_fake 0.014934
[376/5000][410/535][38556] Loss_D: -0.029003 Loss_G: 0.017418 Loss_D_real: -0.021602 Loss_D_fake 0.007400
[376/5000][415/535][38557] Loss_D: -0.029608 Loss_G: 0.003772 Loss_D_real: -0.005472 Loss_D_fake 0.024137
[376/5000][420/535][38558] Loss_D: -0.028405 Loss_G: 0.026806 Loss_D_real: -0.024187 Loss_D_fake 0.004218
[376/5000][425/535][38559] Loss_D: -0.030543 Loss_G: 0.005535 Loss_D_real: -0.005466 Loss_D_fake 0.025077
[376/5000][430/535][38560] Loss_D: -0.029572 Loss_G: 0.030870 Loss_D_real: -0.026932 Loss_D_fake 0.002640
[376/5000][435/535][38561] Loss_D: -0.030663 Loss_G: 0.016376 Loss_D_real: -0.014203 Loss_D_fake 0.016460
[376/5000][440/535][38562] Loss_D: -0.029810 Loss_G: 0.005893 Loss_D_real: -0.013126 Loss_D_fake 0.016684
[376/5000][445/535][38563] Loss_D: -0.029394 Loss_G: 0.040189 Loss_D_real: -0.032952 Loss_D_fake -0.003558
[376/5000][450/535][38564] Loss_D: -0.030413 Loss_G: 0.006187 Loss_D_real: -0.012737 Loss_D_fake 0.017677
[376/5000][455/535][38565] Loss_D: -0.030159 Loss_G: 0.023011 Loss_D_real: -0.024738 Loss_D_fake 0.005421
[376/5000][460/535][38566] Loss_D: -0.028937 Loss_G: 0.033871 Loss_D_real: -0.034212 Loss_D_fake -0.005274
[376/5000][465/535][38567] Loss_D: -0.027488 Loss_G: -0.018958 Loss_D_real: -0.000377 Loss_D_fake 0.027111
[376/5000][470/535][38568] Loss_D: -0.027523 Loss_G: 0.018313 Loss_D_real: -0.027276 Loss_D_fake 0.000247
[376/5000][475/535][38569] Loss_D: -0.027511 Loss_G: 0.015429 Loss_D_real: -0.028897 Loss_D_fake -0.001387
[376/5000][480/535][38570] Loss_D: -0.029046 Loss_G: 0.012378 Loss_D_real: -0.023093 Loss_D_fake 0.005953
[376/5000][485/535][38571] Loss_D: -0.030016 Loss_G: -0.006458 Loss_D_real: -0.000525 Loss_D_fake 0.029491
[376/5000][490/535][38572] Loss_D: -0.029569 Loss_G: 0.016852 Loss_D_real: -0.021503 Loss_D_fake 0.008066
[376/5000][495/535][38573] Loss_D: -0.029343 Loss_G: 0.026953 Loss_D_real: -0.025118 Loss_D_fake 0.004225
[376/5000][500/535][38574] Loss_D: -0.028998 Loss_G: 0.006826 Loss_D_real: -0.016490 Loss_D_fake 0.012508
[376/5000][505/535][38575] Loss_D: -0.028301 Loss_G: 0.024484 Loss_D_real: -0.035585 Loss_D_fake -0.007284
[376/5000][510/535][38576] Loss_D: -0.030158 Loss_G: 0.023524 Loss_D_real: -0.022899 Loss_D_fake 0.007259
[376/5000][515/535][38577] Loss_D: -0.029456 Loss_G: -0.006197 Loss_D_real: -0.013401 Loss_D_fake 0.016055
[376/5000][520/535][38578] Loss_D: -0.028915 Loss_G: 0.022521 Loss_D_real: -0.030135 Loss_D_fake -0.001221
[376/5000][525/535][38579] Loss_D: -0.029536 Loss_G: 0.005704 Loss_D_real: -0.000739 Loss_D_fake 0.028797
[376/5000][530/535][38580] Loss_D: -0.027552 Loss_G: 0.031926 Loss_D_real: -0.037562 Loss_D_fake -0.010010
[376/5000][535/535][38581] Loss_D: -0.033057 Loss_G: 0.018107 Loss_D_real: -0.007541 Loss_D_fake 0.025515
[377/5000][5/535][38582] Loss_D: -0.028844 Loss_G: 0.005199 Loss_D_real: -0.010100 Loss_D_fake 0.018744
[377/5000][10/535][38583] Loss_D: -0.028586 Loss_G: 0.003264 Loss_D_real: 0.000270 Loss_D_fake 0.028855
[377/5000][15/535][38584] Loss_D: -0.029789 Loss_G: 0.005599 Loss_D_real: -0.012684 Loss_D_fake 0.017105
[377/5000][20/535][38585] Loss_D: -0.029372 Loss_G: 0.013128 Loss_D_real: -0.020558 Loss_D_fake 0.008815
[377/5000][25/535][38586] Loss_D: -0.030522 Loss_G: 0.007840 Loss_D_real: -0.016988 Loss_D_fake 0.013534
[377/5000][30/535][38587] Loss_D: -0.029659 Loss_G: 0.009796 Loss_D_real: -0.018752 Loss_D_fake 0.010907
[377/5000][35/535][38588] Loss_D: -0.029566 Loss_G: 0.013933 Loss_D_real: -0.017010 Loss_D_fake 0.012556
[377/5000][40/535][38589] Loss_D: -0.030069 Loss_G: 0.027146 Loss_D_real: -0.026888 Loss_D_fake 0.003181
[377/5000][45/535][38590] Loss_D: -0.028024 Loss_G: 0.039251 Loss_D_real: -0.040988 Loss_D_fake -0.012964
[377/5000][50/535][38591] Loss_D: -0.028876 Loss_G: 0.018654 Loss_D_real: -0.014147 Loss_D_fake 0.014728
[377/5000][55/535][38592] Loss_D: -0.028510 Loss_G: 0.015334 Loss_D_real: -0.014541 Loss_D_fake 0.013968
[377/5000][60/535][38593] Loss_D: -0.028420 Loss_G: 0.005323 Loss_D_real: -0.019269 Loss_D_fake 0.009152
[377/5000][65/535][38594] Loss_D: -0.030651 Loss_G: 0.024640 Loss_D_real: -0.040318 Loss_D_fake -0.009667
[377/5000][70/535][38595] Loss_D: -0.029029 Loss_G: 0.037414 Loss_D_real: -0.030859 Loss_D_fake -0.001830
[377/5000][75/535][38596] Loss_D: -0.028971 Loss_G: 0.000885 Loss_D_real: -0.006111 Loss_D_fake 0.022859
[377/5000][80/535][38597] Loss_D: -0.028173 Loss_G: 0.032537 Loss_D_real: -0.034475 Loss_D_fake -0.006302
[377/5000][85/535][38598] Loss_D: -0.030619 Loss_G: -0.001470 Loss_D_real: -0.011420 Loss_D_fake 0.019199
[377/5000][90/535][38599] Loss_D: -0.030378 Loss_G: 0.008940 Loss_D_real: -0.015165 Loss_D_fake 0.015213
[377/5000][95/535][38600] Loss_D: -0.029619 Loss_G: 0.025472 Loss_D_real: -0.033076 Loss_D_fake -0.003457
[377/5000][100/535][38601] Loss_D: -0.029410 Loss_G: 0.024007 Loss_D_real: -0.023166 Loss_D_fake 0.006244
[377/5000][105/535][38602] Loss_D: -0.029486 Loss_G: 0.019765 Loss_D_real: -0.024222 Loss_D_fake 0.005264
[377/5000][110/535][38603] Loss_D: -0.028916 Loss_G: 0.020287 Loss_D_real: -0.020539 Loss_D_fake 0.008377
[377/5000][115/535][38604] Loss_D: -0.030172 Loss_G: 0.021251 Loss_D_real: -0.025467 Loss_D_fake 0.004705
[377/5000][120/535][38605] Loss_D: -0.030196 Loss_G: 0.030371 Loss_D_real: -0.030108 Loss_D_fake 0.000087
[377/5000][125/535][38606] Loss_D: -0.029004 Loss_G: -0.012655 Loss_D_real: 0.004845 Loss_D_fake 0.033849
[377/5000][130/535][38607] Loss_D: -0.028082 Loss_G: 0.016302 Loss_D_real: -0.019496 Loss_D_fake 0.008585
[377/5000][135/535][38608] Loss_D: -0.028880 Loss_G: 0.020423 Loss_D_real: -0.024631 Loss_D_fake 0.004248
[377/5000][140/535][38609] Loss_D: -0.029089 Loss_G: 0.014026 Loss_D_real: -0.009967 Loss_D_fake 0.019122
[377/5000][145/535][38610] Loss_D: -0.029773 Loss_G: 0.022643 Loss_D_real: -0.020946 Loss_D_fake 0.008827
[377/5000][150/535][38611] Loss_D: -0.028965 Loss_G: 0.036282 Loss_D_real: -0.039210 Loss_D_fake -0.010246
[377/5000][155/535][38612] Loss_D: -0.029962 Loss_G: 0.024793 Loss_D_real: -0.024398 Loss_D_fake 0.005564
[377/5000][160/535][38613] Loss_D: -0.029011 Loss_G: -0.004334 Loss_D_real: -0.010177 Loss_D_fake 0.018834
[377/5000][165/535][38614] Loss_D: -0.029073 Loss_G: 0.018352 Loss_D_real: -0.017763 Loss_D_fake 0.011309
[377/5000][170/535][38615] Loss_D: -0.028367 Loss_G: 0.017193 Loss_D_real: -0.019502 Loss_D_fake 0.008865
[377/5000][175/535][38616] Loss_D: -0.029296 Loss_G: -0.000465 Loss_D_real: -0.015817 Loss_D_fake 0.013479
[377/5000][180/535][38617] Loss_D: -0.029627 Loss_G: 0.020805 Loss_D_real: -0.018763 Loss_D_fake 0.010864
[377/5000][185/535][38618] Loss_D: -0.029131 Loss_G: -0.014154 Loss_D_real: -0.000320 Loss_D_fake 0.028810
[377/5000][190/535][38619] Loss_D: -0.027577 Loss_G: 0.034378 Loss_D_real: -0.031484 Loss_D_fake -0.003907
[377/5000][195/535][38620] Loss_D: -0.028788 Loss_G: 0.010900 Loss_D_real: -0.016165 Loss_D_fake 0.012623
[377/5000][200/535][38621] Loss_D: -0.029489 Loss_G: 0.003523 Loss_D_real: -0.011111 Loss_D_fake 0.018378
[377/5000][205/535][38622] Loss_D: -0.029350 Loss_G: -0.008426 Loss_D_real: -0.009479 Loss_D_fake 0.019871
[377/5000][210/535][38623] Loss_D: -0.030182 Loss_G: 0.001485 Loss_D_real: -0.006754 Loss_D_fake 0.023428
[377/5000][215/535][38624] Loss_D: -0.031207 Loss_G: 0.003932 Loss_D_real: -0.016942 Loss_D_fake 0.014265
[377/5000][220/535][38625] Loss_D: -0.028885 Loss_G: -0.003799 Loss_D_real: -0.008568 Loss_D_fake 0.020317
[377/5000][225/535][38626] Loss_D: -0.029174 Loss_G: 0.034054 Loss_D_real: -0.026765 Loss_D_fake 0.002410
[377/5000][230/535][38627] Loss_D: -0.029140 Loss_G: 0.005371 Loss_D_real: -0.004021 Loss_D_fake 0.025120
[377/5000][235/535][38628] Loss_D: -0.027564 Loss_G: 0.031224 Loss_D_real: -0.029998 Loss_D_fake -0.002434
[377/5000][240/535][38629] Loss_D: -0.028314 Loss_G: 0.011869 Loss_D_real: -0.015039 Loss_D_fake 0.013275
[377/5000][245/535][38630] Loss_D: -0.028583 Loss_G: 0.020135 Loss_D_real: -0.025511 Loss_D_fake 0.003072
[377/5000][250/535][38631] Loss_D: -0.028177 Loss_G: 0.008178 Loss_D_real: -0.018425 Loss_D_fake 0.009752
[377/5000][255/535][38632] Loss_D: -0.028549 Loss_G: 0.018338 Loss_D_real: -0.027120 Loss_D_fake 0.001429
[377/5000][260/535][38633] Loss_D: -0.026320 Loss_G: 0.037456 Loss_D_real: -0.038515 Loss_D_fake -0.012194
[377/5000][265/535][38634] Loss_D: -0.029706 Loss_G: 0.012183 Loss_D_real: -0.019491 Loss_D_fake 0.010216
[377/5000][270/535][38635] Loss_D: -0.030508 Loss_G: 0.032259 Loss_D_real: -0.025491 Loss_D_fake 0.005017
[377/5000][275/535][38636] Loss_D: -0.030826 Loss_G: 0.019249 Loss_D_real: -0.018928 Loss_D_fake 0.011898
[377/5000][280/535][38637] Loss_D: -0.028171 Loss_G: -0.011692 Loss_D_real: -0.000353 Loss_D_fake 0.027818
[377/5000][285/535][38638] Loss_D: -0.028052 Loss_G: 0.020706 Loss_D_real: -0.031719 Loss_D_fake -0.003667
[377/5000][290/535][38639] Loss_D: -0.030715 Loss_G: -0.004836 Loss_D_real: -0.007670 Loss_D_fake 0.023045
[377/5000][295/535][38640] Loss_D: -0.028800 Loss_G: 0.020742 Loss_D_real: -0.026333 Loss_D_fake 0.002466
[377/5000][300/535][38641] Loss_D: -0.029376 Loss_G: 0.041573 Loss_D_real: -0.027756 Loss_D_fake 0.001619
[377/5000][305/535][38642] Loss_D: -0.029767 Loss_G: 0.012572 Loss_D_real: -0.008021 Loss_D_fake 0.021746
[377/5000][310/535][38643] Loss_D: -0.027857 Loss_G: 0.033193 Loss_D_real: -0.033121 Loss_D_fake -0.005264
[377/5000][315/535][38644] Loss_D: -0.031919 Loss_G: 0.013380 Loss_D_real: -0.015389 Loss_D_fake 0.016530
[377/5000][320/535][38645] Loss_D: -0.028935 Loss_G: 0.022944 Loss_D_real: -0.023890 Loss_D_fake 0.005045
[377/5000][325/535][38646] Loss_D: -0.031146 Loss_G: 0.031571 Loss_D_real: -0.028287 Loss_D_fake 0.002859
[377/5000][330/535][38647] Loss_D: -0.029884 Loss_G: 0.014117 Loss_D_real: -0.017720 Loss_D_fake 0.012164
[377/5000][335/535][38648] Loss_D: -0.030878 Loss_G: 0.017110 Loss_D_real: -0.025031 Loss_D_fake 0.005847
[377/5000][340/535][38649] Loss_D: -0.029472 Loss_G: 0.017106 Loss_D_real: -0.023802 Loss_D_fake 0.005670
[377/5000][345/535][38650] Loss_D: -0.030239 Loss_G: -0.009476 Loss_D_real: -0.004795 Loss_D_fake 0.025444
[377/5000][350/535][38651] Loss_D: -0.029003 Loss_G: 0.022204 Loss_D_real: -0.023677 Loss_D_fake 0.005327
[377/5000][355/535][38652] Loss_D: -0.029925 Loss_G: 0.002131 Loss_D_real: -0.004064 Loss_D_fake 0.025861
[377/5000][360/535][38653] Loss_D: -0.029836 Loss_G: 0.010989 Loss_D_real: -0.015620 Loss_D_fake 0.014217
[377/5000][365/535][38654] Loss_D: -0.030033 Loss_G: 0.018297 Loss_D_real: -0.014823 Loss_D_fake 0.015210
[377/5000][370/535][38655] Loss_D: -0.029085 Loss_G: 0.026686 Loss_D_real: -0.015808 Loss_D_fake 0.013277
[377/5000][375/535][38656] Loss_D: -0.028958 Loss_G: 0.008202 Loss_D_real: -0.010256 Loss_D_fake 0.018702
[377/5000][380/535][38657] Loss_D: -0.027479 Loss_G: 0.039102 Loss_D_real: -0.037192 Loss_D_fake -0.009714
[377/5000][385/535][38658] Loss_D: -0.031042 Loss_G: 0.018262 Loss_D_real: -0.025629 Loss_D_fake 0.005412
[377/5000][390/535][38659] Loss_D: -0.029845 Loss_G: 0.003759 Loss_D_real: -0.012549 Loss_D_fake 0.017297
[377/5000][395/535][38660] Loss_D: -0.029096 Loss_G: 0.015938 Loss_D_real: -0.021435 Loss_D_fake 0.007661
[377/5000][400/535][38661] Loss_D: -0.031417 Loss_G: 0.008848 Loss_D_real: -0.020223 Loss_D_fake 0.011194
[377/5000][405/535][38662] Loss_D: -0.029747 Loss_G: 0.024352 Loss_D_real: -0.033876 Loss_D_fake -0.004129
[377/5000][410/535][38663] Loss_D: -0.029456 Loss_G: 0.040434 Loss_D_real: -0.027660 Loss_D_fake 0.001795
[377/5000][415/535][38664] Loss_D: -0.029802 Loss_G: 0.023355 Loss_D_real: -0.023910 Loss_D_fake 0.005891
[377/5000][420/535][38665] Loss_D: -0.028881 Loss_G: 0.016761 Loss_D_real: -0.011121 Loss_D_fake 0.017760
[377/5000][425/535][38666] Loss_D: -0.028994 Loss_G: -0.006587 Loss_D_real: -0.004372 Loss_D_fake 0.024621
[377/5000][430/535][38667] Loss_D: -0.028187 Loss_G: 0.026397 Loss_D_real: -0.020333 Loss_D_fake 0.007854
[377/5000][435/535][38668] Loss_D: -0.028120 Loss_G: -0.014041 Loss_D_real: -0.011530 Loss_D_fake 0.016590
[377/5000][440/535][38669] Loss_D: -0.029552 Loss_G: 0.019264 Loss_D_real: -0.030137 Loss_D_fake -0.000585
[377/5000][445/535][38670] Loss_D: -0.030197 Loss_G: 0.016897 Loss_D_real: -0.027392 Loss_D_fake 0.002805
[377/5000][450/535][38671] Loss_D: -0.029117 Loss_G: -0.005377 Loss_D_real: -0.009527 Loss_D_fake 0.019589
[377/5000][455/535][38672] Loss_D: -0.029808 Loss_G: 0.008347 Loss_D_real: -0.019970 Loss_D_fake 0.009838
[377/5000][460/535][38673] Loss_D: -0.027609 Loss_G: 0.049050 Loss_D_real: -0.038871 Loss_D_fake -0.011262
[377/5000][465/535][38674] Loss_D: -0.028595 Loss_G: -0.004070 Loss_D_real: -0.005549 Loss_D_fake 0.023045
[377/5000][470/535][38675] Loss_D: -0.028729 Loss_G: 0.033708 Loss_D_real: -0.028794 Loss_D_fake -0.000065
[377/5000][475/535][38676] Loss_D: -0.028901 Loss_G: 0.009734 Loss_D_real: -0.013597 Loss_D_fake 0.015304
[377/5000][480/535][38677] Loss_D: -0.028775 Loss_G: -0.001529 Loss_D_real: -0.012876 Loss_D_fake 0.015899
[377/5000][485/535][38678] Loss_D: -0.029747 Loss_G: 0.015889 Loss_D_real: -0.019263 Loss_D_fake 0.010484
[377/5000][490/535][38679] Loss_D: -0.030238 Loss_G: 0.018842 Loss_D_real: -0.025502 Loss_D_fake 0.004735
[377/5000][495/535][38680] Loss_D: -0.029507 Loss_G: 0.024151 Loss_D_real: -0.025395 Loss_D_fake 0.004112
[377/5000][500/535][38681] Loss_D: -0.029605 Loss_G: 0.008108 Loss_D_real: -0.004621 Loss_D_fake 0.024984
[377/5000][505/535][38682] Loss_D: -0.028568 Loss_G: 0.024879 Loss_D_real: -0.028376 Loss_D_fake 0.000192
[377/5000][510/535][38683] Loss_D: -0.027039 Loss_G: -0.008106 Loss_D_real: 0.006378 Loss_D_fake 0.033418
[377/5000][515/535][38684] Loss_D: -0.028230 Loss_G: 0.018167 Loss_D_real: -0.025885 Loss_D_fake 0.002346
[377/5000][520/535][38685] Loss_D: -0.028829 Loss_G: 0.004894 Loss_D_real: -0.007428 Loss_D_fake 0.021400
[377/5000][525/535][38686] Loss_D: -0.028004 Loss_G: 0.031608 Loss_D_real: -0.031745 Loss_D_fake -0.003740
[377/5000][530/535][38687] Loss_D: -0.027929 Loss_G: 0.007808 Loss_D_real: -0.012356 Loss_D_fake 0.015573
[377/5000][535/535][38688] Loss_D: -0.034156 Loss_G: 0.005109 Loss_D_real: -0.008948 Loss_D_fake 0.025208
[378/5000][5/535][38689] Loss_D: -0.030934 Loss_G: 0.020709 Loss_D_real: -0.023330 Loss_D_fake 0.007604
[378/5000][10/535][38690] Loss_D: -0.029493 Loss_G: -0.016479 Loss_D_real: 0.006773 Loss_D_fake 0.036266
[378/5000][15/535][38691] Loss_D: -0.029337 Loss_G: 0.022302 Loss_D_real: -0.026075 Loss_D_fake 0.003262
[378/5000][20/535][38692] Loss_D: -0.029619 Loss_G: 0.017399 Loss_D_real: -0.022064 Loss_D_fake 0.007556
[378/5000][25/535][38693] Loss_D: -0.030503 Loss_G: 0.018515 Loss_D_real: -0.027739 Loss_D_fake 0.002764
[378/5000][30/535][38694] Loss_D: -0.029101 Loss_G: 0.018574 Loss_D_real: -0.025693 Loss_D_fake 0.003408
[378/5000][35/535][38695] Loss_D: -0.030250 Loss_G: 0.006973 Loss_D_real: -0.005843 Loss_D_fake 0.024407
[378/5000][40/535][38696] Loss_D: -0.030520 Loss_G: 0.023539 Loss_D_real: -0.022287 Loss_D_fake 0.008233
[378/5000][45/535][38697] Loss_D: -0.029727 Loss_G: 0.023738 Loss_D_real: -0.025769 Loss_D_fake 0.003958
[378/5000][50/535][38698] Loss_D: -0.029077 Loss_G: -0.003164 Loss_D_real: 0.001604 Loss_D_fake 0.030680
[378/5000][55/535][38699] Loss_D: -0.027846 Loss_G: 0.035898 Loss_D_real: -0.027059 Loss_D_fake 0.000787
[378/5000][60/535][38700] Loss_D: -0.028055 Loss_G: 0.015275 Loss_D_real: -0.015037 Loss_D_fake 0.013019
[378/5000][65/535][38701] Loss_D: -0.029855 Loss_G: 0.015805 Loss_D_real: -0.016490 Loss_D_fake 0.013366
[378/5000][70/535][38702] Loss_D: -0.030179 Loss_G: 0.021772 Loss_D_real: -0.024964 Loss_D_fake 0.005215
[378/5000][75/535][38703] Loss_D: -0.030590 Loss_G: 0.012691 Loss_D_real: -0.017284 Loss_D_fake 0.013305
[378/5000][80/535][38704] Loss_D: -0.028943 Loss_G: 0.026937 Loss_D_real: -0.029756 Loss_D_fake -0.000813
[378/5000][85/535][38705] Loss_D: -0.030199 Loss_G: 0.007791 Loss_D_real: -0.016788 Loss_D_fake 0.013410
[378/5000][90/535][38706] Loss_D: -0.029860 Loss_G: 0.031772 Loss_D_real: -0.033466 Loss_D_fake -0.003606
[378/5000][95/535][38707] Loss_D: -0.029358 Loss_G: 0.031533 Loss_D_real: -0.036553 Loss_D_fake -0.007195
[378/5000][100/535][38708] Loss_D: -0.028777 Loss_G: 0.019691 Loss_D_real: -0.019092 Loss_D_fake 0.009685
[378/5000][105/535][38709] Loss_D: -0.031299 Loss_G: 0.015819 Loss_D_real: -0.018492 Loss_D_fake 0.012807
[378/5000][110/535][38710] Loss_D: -0.029928 Loss_G: 0.035908 Loss_D_real: -0.035861 Loss_D_fake -0.005933
[378/5000][115/535][38711] Loss_D: -0.028522 Loss_G: 0.030188 Loss_D_real: -0.033371 Loss_D_fake -0.004849
[378/5000][120/535][38712] Loss_D: -0.028529 Loss_G: 0.002011 Loss_D_real: -0.006368 Loss_D_fake 0.022162
[378/5000][125/535][38713] Loss_D: -0.029415 Loss_G: 0.020936 Loss_D_real: -0.033255 Loss_D_fake -0.003840
[378/5000][130/535][38714] Loss_D: -0.029727 Loss_G: 0.010789 Loss_D_real: -0.020964 Loss_D_fake 0.008763
[378/5000][135/535][38715] Loss_D: -0.029968 Loss_G: -0.003295 Loss_D_real: -0.005784 Loss_D_fake 0.024183
[378/5000][140/535][38716] Loss_D: -0.029393 Loss_G: 0.022277 Loss_D_real: -0.021083 Loss_D_fake 0.008311
[378/5000][145/535][38717] Loss_D: -0.029378 Loss_G: -0.003642 Loss_D_real: -0.011538 Loss_D_fake 0.017840
[378/5000][150/535][38718] Loss_D: -0.029656 Loss_G: 0.022465 Loss_D_real: -0.025730 Loss_D_fake 0.003926
[378/5000][155/535][38719] Loss_D: -0.030484 Loss_G: 0.027258 Loss_D_real: -0.021614 Loss_D_fake 0.008870
[378/5000][160/535][38720] Loss_D: -0.028537 Loss_G: -0.004864 Loss_D_real: 0.002908 Loss_D_fake 0.031445
[378/5000][165/535][38721] Loss_D: -0.029164 Loss_G: 0.010099 Loss_D_real: -0.018580 Loss_D_fake 0.010584
[378/5000][170/535][38722] Loss_D: -0.029007 Loss_G: 0.017561 Loss_D_real: -0.022477 Loss_D_fake 0.006530
[378/5000][175/535][38723] Loss_D: -0.029785 Loss_G: 0.006657 Loss_D_real: -0.016013 Loss_D_fake 0.013772
[378/5000][180/535][38724] Loss_D: -0.030077 Loss_G: 0.026113 Loss_D_real: -0.023101 Loss_D_fake 0.006976
[378/5000][185/535][38725] Loss_D: -0.029566 Loss_G: -0.004272 Loss_D_real: -0.002788 Loss_D_fake 0.026778
[378/5000][190/535][38726] Loss_D: -0.028863 Loss_G: 0.016955 Loss_D_real: -0.024108 Loss_D_fake 0.004755
[378/5000][195/535][38727] Loss_D: -0.030118 Loss_G: 0.006224 Loss_D_real: -0.015155 Loss_D_fake 0.014963
[378/5000][200/535][38728] Loss_D: -0.028861 Loss_G: 0.009453 Loss_D_real: -0.008812 Loss_D_fake 0.020049
[378/5000][205/535][38729] Loss_D: -0.028112 Loss_G: 0.022538 Loss_D_real: -0.026032 Loss_D_fake 0.002080
[378/5000][210/535][38730] Loss_D: -0.029226 Loss_G: 0.028340 Loss_D_real: -0.026200 Loss_D_fake 0.003026
[378/5000][215/535][38731] Loss_D: -0.028999 Loss_G: 0.032068 Loss_D_real: -0.030407 Loss_D_fake -0.001408
[378/5000][220/535][38732] Loss_D: -0.028993 Loss_G: 0.022760 Loss_D_real: -0.025727 Loss_D_fake 0.003266
[378/5000][225/535][38733] Loss_D: -0.030444 Loss_G: 0.023272 Loss_D_real: -0.019395 Loss_D_fake 0.011049
[378/5000][230/535][38734] Loss_D: -0.027885 Loss_G: 0.036153 Loss_D_real: -0.030483 Loss_D_fake -0.002597
[378/5000][235/535][38735] Loss_D: -0.030443 Loss_G: 0.016764 Loss_D_real: -0.021552 Loss_D_fake 0.008890
[378/5000][240/535][38736] Loss_D: -0.030192 Loss_G: 0.034297 Loss_D_real: -0.028583 Loss_D_fake 0.001609
[378/5000][245/535][38737] Loss_D: -0.028875 Loss_G: -0.009194 Loss_D_real: -0.005818 Loss_D_fake 0.023056
[378/5000][250/535][38738] Loss_D: -0.028738 Loss_G: 0.009347 Loss_D_real: -0.015534 Loss_D_fake 0.013205
[378/5000][255/535][38739] Loss_D: -0.030320 Loss_G: 0.026036 Loss_D_real: -0.029643 Loss_D_fake 0.000676
[378/5000][260/535][38740] Loss_D: -0.029376 Loss_G: 0.016769 Loss_D_real: -0.027713 Loss_D_fake 0.001663
[378/5000][265/535][38741] Loss_D: -0.029154 Loss_G: -0.006497 Loss_D_real: -0.002574 Loss_D_fake 0.026580
[378/5000][270/535][38742] Loss_D: -0.028471 Loss_G: 0.035513 Loss_D_real: -0.026260 Loss_D_fake 0.002210
[378/5000][275/535][38743] Loss_D: -0.029676 Loss_G: -0.001555 Loss_D_real: -0.011446 Loss_D_fake 0.018229
[378/5000][280/535][38744] Loss_D: -0.029440 Loss_G: 0.009877 Loss_D_real: -0.018359 Loss_D_fake 0.011080
[378/5000][285/535][38745] Loss_D: -0.028158 Loss_G: 0.024541 Loss_D_real: -0.031749 Loss_D_fake -0.003590
[378/5000][290/535][38746] Loss_D: -0.028063 Loss_G: -0.005724 Loss_D_real: -0.005656 Loss_D_fake 0.022407
[378/5000][295/535][38747] Loss_D: -0.027325 Loss_G: 0.033483 Loss_D_real: -0.036388 Loss_D_fake -0.009063
[378/5000][300/535][38748] Loss_D: -0.030750 Loss_G: 0.008501 Loss_D_real: -0.021846 Loss_D_fake 0.008904
[378/5000][305/535][38749] Loss_D: -0.029729 Loss_G: 0.019758 Loss_D_real: -0.014476 Loss_D_fake 0.015254
[378/5000][310/535][38750] Loss_D: -0.029977 Loss_G: 0.007498 Loss_D_real: -0.022575 Loss_D_fake 0.007402
[378/5000][315/535][38751] Loss_D: -0.027437 Loss_G: 0.039496 Loss_D_real: -0.034903 Loss_D_fake -0.007466
[378/5000][320/535][38752] Loss_D: -0.027867 Loss_G: -0.008219 Loss_D_real: -0.003827 Loss_D_fake 0.024040
[378/5000][325/535][38753] Loss_D: -0.027214 Loss_G: 0.028413 Loss_D_real: -0.023671 Loss_D_fake 0.003543
[378/5000][330/535][38754] Loss_D: -0.029898 Loss_G: 0.011215 Loss_D_real: -0.012594 Loss_D_fake 0.017304
[378/5000][335/535][38755] Loss_D: -0.029216 Loss_G: 0.033854 Loss_D_real: -0.027263 Loss_D_fake 0.001953
[378/5000][340/535][38756] Loss_D: -0.029614 Loss_G: 0.017934 Loss_D_real: -0.025752 Loss_D_fake 0.003862
[378/5000][345/535][38757] Loss_D: -0.029390 Loss_G: 0.012196 Loss_D_real: -0.017268 Loss_D_fake 0.012122
[378/5000][350/535][38758] Loss_D: -0.030301 Loss_G: 0.021353 Loss_D_real: -0.029050 Loss_D_fake 0.001251
[378/5000][355/535][38759] Loss_D: -0.029402 Loss_G: 0.017446 Loss_D_real: -0.017513 Loss_D_fake 0.011889
[378/5000][360/535][38760] Loss_D: -0.028952 Loss_G: 0.032049 Loss_D_real: -0.024772 Loss_D_fake 0.004180
[378/5000][365/535][38761] Loss_D: -0.030986 Loss_G: 0.016181 Loss_D_real: -0.023040 Loss_D_fake 0.007946
[378/5000][370/535][38762] Loss_D: -0.028771 Loss_G: 0.022359 Loss_D_real: -0.028246 Loss_D_fake 0.000525
[378/5000][375/535][38763] Loss_D: -0.029300 Loss_G: -0.011738 Loss_D_real: -0.001252 Loss_D_fake 0.028048
[378/5000][380/535][38764] Loss_D: -0.028898 Loss_G: 0.009271 Loss_D_real: -0.020689 Loss_D_fake 0.008209
[378/5000][385/535][38765] Loss_D: -0.030114 Loss_G: 0.020022 Loss_D_real: -0.023890 Loss_D_fake 0.006224
[378/5000][390/535][38766] Loss_D: -0.029427 Loss_G: 0.004558 Loss_D_real: -0.012816 Loss_D_fake 0.016611
[378/5000][395/535][38767] Loss_D: -0.029199 Loss_G: 0.039384 Loss_D_real: -0.032839 Loss_D_fake -0.003639
[378/5000][400/535][38768] Loss_D: -0.029778 Loss_G: -0.001684 Loss_D_real: -0.003801 Loss_D_fake 0.025977
[378/5000][405/535][38769] Loss_D: -0.029120 Loss_G: -0.005496 Loss_D_real: -0.000741 Loss_D_fake 0.028379
[378/5000][410/535][38770] Loss_D: -0.029058 Loss_G: 0.015763 Loss_D_real: -0.021112 Loss_D_fake 0.007946
[378/5000][415/535][38771] Loss_D: -0.030430 Loss_G: 0.010978 Loss_D_real: -0.014137 Loss_D_fake 0.016293
[378/5000][420/535][38772] Loss_D: -0.027334 Loss_G: 0.038694 Loss_D_real: -0.037626 Loss_D_fake -0.010291
[378/5000][425/535][38773] Loss_D: -0.029362 Loss_G: -0.012692 Loss_D_real: 0.005037 Loss_D_fake 0.034399
[378/5000][430/535][38774] Loss_D: -0.027406 Loss_G: 0.008242 Loss_D_real: -0.014111 Loss_D_fake 0.013295
[378/5000][435/535][38775] Loss_D: -0.029183 Loss_G: 0.017444 Loss_D_real: -0.013461 Loss_D_fake 0.015722
[378/5000][440/535][38776] Loss_D: -0.030190 Loss_G: 0.010173 Loss_D_real: -0.019518 Loss_D_fake 0.010672
[378/5000][445/535][38777] Loss_D: -0.030231 Loss_G: 0.037068 Loss_D_real: -0.034040 Loss_D_fake -0.003809
[378/5000][450/535][38778] Loss_D: -0.029202 Loss_G: -0.012603 Loss_D_real: 0.005761 Loss_D_fake 0.034963
[378/5000][455/535][38779] Loss_D: -0.029993 Loss_G: 0.020994 Loss_D_real: -0.023485 Loss_D_fake 0.006508
[378/5000][460/535][38780] Loss_D: -0.029679 Loss_G: 0.005774 Loss_D_real: -0.015212 Loss_D_fake 0.014466
[378/5000][465/535][38781] Loss_D: -0.030295 Loss_G: 0.014122 Loss_D_real: -0.021727 Loss_D_fake 0.008568
[378/5000][470/535][38782] Loss_D: -0.030243 Loss_G: 0.024735 Loss_D_real: -0.030498 Loss_D_fake -0.000255
[378/5000][475/535][38783] Loss_D: -0.029437 Loss_G: 0.005124 Loss_D_real: -0.008017 Loss_D_fake 0.021420
[378/5000][480/535][38784] Loss_D: -0.029083 Loss_G: 0.025752 Loss_D_real: -0.031370 Loss_D_fake -0.002287
[378/5000][485/535][38785] Loss_D: -0.028657 Loss_G: -0.003901 Loss_D_real: -0.001922 Loss_D_fake 0.026735
[378/5000][490/535][38786] Loss_D: -0.029923 Loss_G: 0.007899 Loss_D_real: -0.015070 Loss_D_fake 0.014853
[378/5000][495/535][38787] Loss_D: -0.030069 Loss_G: 0.014627 Loss_D_real: -0.020749 Loss_D_fake 0.009320
[378/5000][500/535][38788] Loss_D: -0.030153 Loss_G: 0.011366 Loss_D_real: -0.020541 Loss_D_fake 0.009612
[378/5000][505/535][38789] Loss_D: -0.029461 Loss_G: 0.008676 Loss_D_real: -0.023737 Loss_D_fake 0.005723
[378/5000][510/535][38790] Loss_D: -0.028863 Loss_G: 0.032822 Loss_D_real: -0.029380 Loss_D_fake -0.000516
[378/5000][515/535][38791] Loss_D: -0.029774 Loss_G: 0.017579 Loss_D_real: -0.016980 Loss_D_fake 0.012795
[378/5000][520/535][38792] Loss_D: -0.027912 Loss_G: 0.014706 Loss_D_real: -0.020362 Loss_D_fake 0.007550
[378/5000][525/535][38793] Loss_D: -0.028668 Loss_G: 0.017118 Loss_D_real: -0.017616 Loss_D_fake 0.011053
[378/5000][530/535][38794] Loss_D: -0.028532 Loss_G: 0.033127 Loss_D_real: -0.029109 Loss_D_fake -0.000577
[378/5000][535/535][38795] Loss_D: -0.031081 Loss_G: 0.007689 Loss_D_real: -0.004378 Loss_D_fake 0.026703
[379/5000][5/535][38796] Loss_D: -0.028110 Loss_G: 0.015899 Loss_D_real: -0.020861 Loss_D_fake 0.007249
[379/5000][10/535][38797] Loss_D: -0.030729 Loss_G: 0.005095 Loss_D_real: -0.014459 Loss_D_fake 0.016270
[379/5000][15/535][38798] Loss_D: -0.028694 Loss_G: 0.003550 Loss_D_real: -0.008873 Loss_D_fake 0.019821
[379/5000][20/535][38799] Loss_D: -0.030005 Loss_G: 0.016552 Loss_D_real: -0.023722 Loss_D_fake 0.006283
[379/5000][25/535][38800] Loss_D: -0.028681 Loss_G: 0.012983 Loss_D_real: -0.015666 Loss_D_fake 0.013015
[379/5000][30/535][38801] Loss_D: -0.027899 Loss_G: 0.036558 Loss_D_real: -0.034437 Loss_D_fake -0.006538
[379/5000][35/535][38802] Loss_D: -0.030627 Loss_G: 0.027627 Loss_D_real: -0.020711 Loss_D_fake 0.009916
[379/5000][40/535][38803] Loss_D: -0.028724 Loss_G: -0.016247 Loss_D_real: 0.005281 Loss_D_fake 0.034004
[379/5000][45/535][38804] Loss_D: -0.028164 Loss_G: 0.032724 Loss_D_real: -0.032274 Loss_D_fake -0.004110
[379/5000][50/535][38805] Loss_D: -0.029098 Loss_G: -0.004130 Loss_D_real: -0.004047 Loss_D_fake 0.025051
[379/5000][55/535][38806] Loss_D: -0.028838 Loss_G: 0.018913 Loss_D_real: -0.026473 Loss_D_fake 0.002366
[379/5000][60/535][38807] Loss_D: -0.030780 Loss_G: 0.011126 Loss_D_real: -0.017486 Loss_D_fake 0.013294
[379/5000][65/535][38808] Loss_D: -0.030073 Loss_G: 0.007685 Loss_D_real: -0.013355 Loss_D_fake 0.016718
[379/5000][70/535][38809] Loss_D: -0.029416 Loss_G: 0.016550 Loss_D_real: -0.025315 Loss_D_fake 0.004101
[379/5000][75/535][38810] Loss_D: -0.028942 Loss_G: 0.027644 Loss_D_real: -0.034077 Loss_D_fake -0.005136
[379/5000][80/535][38811] Loss_D: -0.029223 Loss_G: 0.000439 Loss_D_real: -0.012440 Loss_D_fake 0.016783
[379/5000][85/535][38812] Loss_D: -0.029449 Loss_G: 0.025578 Loss_D_real: -0.027995 Loss_D_fake 0.001454
[379/5000][90/535][38813] Loss_D: -0.029827 Loss_G: 0.013439 Loss_D_real: -0.021954 Loss_D_fake 0.007873
[379/5000][95/535][38814] Loss_D: -0.031376 Loss_G: 0.013703 Loss_D_real: -0.010016 Loss_D_fake 0.021361
[379/5000][100/535][38815] Loss_D: -0.029606 Loss_G: 0.037911 Loss_D_real: -0.024896 Loss_D_fake 0.004710
[379/5000][105/535][38816] Loss_D: -0.028101 Loss_G: -0.013844 Loss_D_real: 0.003220 Loss_D_fake 0.031322
[379/5000][110/535][38817] Loss_D: -0.027005 Loss_G: 0.034954 Loss_D_real: -0.029167 Loss_D_fake -0.002163
[379/5000][115/535][38818] Loss_D: -0.030046 Loss_G: 0.013386 Loss_D_real: -0.019012 Loss_D_fake 0.011033
[379/5000][120/535][38819] Loss_D: -0.029401 Loss_G: 0.005712 Loss_D_real: -0.017736 Loss_D_fake 0.011665
[379/5000][125/535][38820] Loss_D: -0.028725 Loss_G: 0.012996 Loss_D_real: -0.024139 Loss_D_fake 0.004586
[379/5000][130/535][38821] Loss_D: -0.029038 Loss_G: 0.015845 Loss_D_real: -0.024717 Loss_D_fake 0.004320
[379/5000][135/535][38822] Loss_D: -0.029375 Loss_G: 0.002686 Loss_D_real: -0.006459 Loss_D_fake 0.022916
[379/5000][140/535][38823] Loss_D: -0.028703 Loss_G: 0.014937 Loss_D_real: -0.026545 Loss_D_fake 0.002158
[379/5000][145/535][38824] Loss_D: -0.029286 Loss_G: 0.022418 Loss_D_real: -0.018972 Loss_D_fake 0.010314
[379/5000][150/535][38825] Loss_D: -0.029657 Loss_G: 0.002043 Loss_D_real: -0.001227 Loss_D_fake 0.028430
[379/5000][155/535][38826] Loss_D: -0.028343 Loss_G: 0.001568 Loss_D_real: -0.006800 Loss_D_fake 0.021543
[379/5000][160/535][38827] Loss_D: -0.029821 Loss_G: 0.023706 Loss_D_real: -0.018501 Loss_D_fake 0.011320
[379/5000][165/535][38828] Loss_D: -0.030110 Loss_G: 0.013804 Loss_D_real: -0.017484 Loss_D_fake 0.012627
[379/5000][170/535][38829] Loss_D: -0.030510 Loss_G: 0.000279 Loss_D_real: -0.008439 Loss_D_fake 0.022070
[379/5000][175/535][38830] Loss_D: -0.031592 Loss_G: 0.015862 Loss_D_real: -0.021668 Loss_D_fake 0.009925
[379/5000][180/535][38831] Loss_D: -0.029726 Loss_G: 0.004525 Loss_D_real: -0.004475 Loss_D_fake 0.025251
[379/5000][185/535][38832] Loss_D: -0.030295 Loss_G: 0.012184 Loss_D_real: -0.012924 Loss_D_fake 0.017371
[379/5000][190/535][38833] Loss_D: -0.029427 Loss_G: 0.016992 Loss_D_real: -0.012435 Loss_D_fake 0.016993
[379/5000][195/535][38834] Loss_D: -0.029373 Loss_G: 0.018164 Loss_D_real: -0.013046 Loss_D_fake 0.016327
[379/5000][200/535][38835] Loss_D: -0.030505 Loss_G: 0.027792 Loss_D_real: -0.026956 Loss_D_fake 0.003548
[379/5000][205/535][38836] Loss_D: -0.029171 Loss_G: 0.025757 Loss_D_real: -0.027405 Loss_D_fake 0.001767
[379/5000][210/535][38837] Loss_D: -0.028549 Loss_G: 0.026273 Loss_D_real: -0.036769 Loss_D_fake -0.008220
[379/5000][215/535][38838] Loss_D: -0.028971 Loss_G: 0.034699 Loss_D_real: -0.029883 Loss_D_fake -0.000912
[379/5000][220/535][38839] Loss_D: -0.028927 Loss_G: 0.035737 Loss_D_real: -0.038045 Loss_D_fake -0.009118
[379/5000][225/535][38840] Loss_D: -0.029404 Loss_G: 0.003898 Loss_D_real: -0.018205 Loss_D_fake 0.011198
[379/5000][230/535][38841] Loss_D: -0.028695 Loss_G: 0.033168 Loss_D_real: -0.035906 Loss_D_fake -0.007211
[379/5000][235/535][38842] Loss_D: -0.031308 Loss_G: 0.020646 Loss_D_real: -0.026106 Loss_D_fake 0.005202
[379/5000][240/535][38843] Loss_D: -0.028581 Loss_G: 0.030075 Loss_D_real: -0.021037 Loss_D_fake 0.007544
[379/5000][245/535][38844] Loss_D: -0.029299 Loss_G: 0.012993 Loss_D_real: -0.013256 Loss_D_fake 0.016042
[379/5000][250/535][38845] Loss_D: -0.029277 Loss_G: -0.005077 Loss_D_real: -0.001403 Loss_D_fake 0.027873
[379/5000][255/535][38846] Loss_D: -0.026518 Loss_G: 0.034808 Loss_D_real: -0.038749 Loss_D_fake -0.012232
[379/5000][260/535][38847] Loss_D: -0.030347 Loss_G: 0.012600 Loss_D_real: -0.009842 Loss_D_fake 0.020505
[379/5000][265/535][38848] Loss_D: -0.029591 Loss_G: 0.035980 Loss_D_real: -0.028936 Loss_D_fake 0.000656
[379/5000][270/535][38849] Loss_D: -0.029742 Loss_G: 0.004028 Loss_D_real: -0.013995 Loss_D_fake 0.015746
[379/5000][275/535][38850] Loss_D: -0.027371 Loss_G: 0.034538 Loss_D_real: -0.037979 Loss_D_fake -0.010608
[379/5000][280/535][38851] Loss_D: -0.030008 Loss_G: 0.001569 Loss_D_real: -0.011821 Loss_D_fake 0.018188
[379/5000][285/535][38852] Loss_D: -0.029804 Loss_G: 0.024276 Loss_D_real: -0.030574 Loss_D_fake -0.000770
[379/5000][290/535][38853] Loss_D: -0.028589 Loss_G: 0.023205 Loss_D_real: -0.015558 Loss_D_fake 0.013030
[379/5000][295/535][38854] Loss_D: -0.026842 Loss_G: 0.042224 Loss_D_real: -0.037221 Loss_D_fake -0.010380
[379/5000][300/535][38855] Loss_D: -0.028086 Loss_G: 0.004465 Loss_D_real: -0.006641 Loss_D_fake 0.021445
[379/5000][305/535][38856] Loss_D: -0.028637 Loss_G: 0.026796 Loss_D_real: -0.027485 Loss_D_fake 0.001152
[379/5000][310/535][38857] Loss_D: -0.029841 Loss_G: 0.012962 Loss_D_real: -0.021825 Loss_D_fake 0.008016
[379/5000][315/535][38858] Loss_D: -0.029578 Loss_G: 0.000638 Loss_D_real: -0.014288 Loss_D_fake 0.015290
[379/5000][320/535][38859] Loss_D: -0.028340 Loss_G: 0.002932 Loss_D_real: -0.015735 Loss_D_fake 0.012605
[379/5000][325/535][38860] Loss_D: -0.028341 Loss_G: 0.034709 Loss_D_real: -0.036385 Loss_D_fake -0.008045
[379/5000][330/535][38861] Loss_D: -0.030673 Loss_G: 0.005879 Loss_D_real: -0.014972 Loss_D_fake 0.015701
[379/5000][335/535][38862] Loss_D: -0.030645 Loss_G: 0.007953 Loss_D_real: -0.016801 Loss_D_fake 0.013844
[379/5000][340/535][38863] Loss_D: -0.028917 Loss_G: 0.036587 Loss_D_real: -0.033041 Loss_D_fake -0.004124
[379/5000][345/535][38864] Loss_D: -0.031118 Loss_G: 0.007582 Loss_D_real: -0.015074 Loss_D_fake 0.016044
[379/5000][350/535][38865] Loss_D: -0.030188 Loss_G: 0.009532 Loss_D_real: -0.018553 Loss_D_fake 0.011635
[379/5000][355/535][38866] Loss_D: -0.031614 Loss_G: 0.023749 Loss_D_real: -0.024118 Loss_D_fake 0.007496
[379/5000][360/535][38867] Loss_D: -0.029992 Loss_G: 0.034000 Loss_D_real: -0.032996 Loss_D_fake -0.003004
[379/5000][365/535][38868] Loss_D: -0.031244 Loss_G: 0.022929 Loss_D_real: -0.024047 Loss_D_fake 0.007196
[379/5000][370/535][38869] Loss_D: -0.029707 Loss_G: 0.030233 Loss_D_real: -0.033105 Loss_D_fake -0.003398
[379/5000][375/535][38870] Loss_D: -0.029496 Loss_G: 0.010988 Loss_D_real: -0.012501 Loss_D_fake 0.016995
[379/5000][380/535][38871] Loss_D: -0.029999 Loss_G: 0.003494 Loss_D_real: -0.013196 Loss_D_fake 0.016803
[379/5000][385/535][38872] Loss_D: -0.029537 Loss_G: 0.012157 Loss_D_real: -0.006135 Loss_D_fake 0.023402
[379/5000][390/535][38873] Loss_D: -0.029873 Loss_G: 0.015648 Loss_D_real: -0.020985 Loss_D_fake 0.008888
[379/5000][395/535][38874] Loss_D: -0.029412 Loss_G: 0.011064 Loss_D_real: -0.017561 Loss_D_fake 0.011851
[379/5000][400/535][38875] Loss_D: -0.027981 Loss_G: 0.031156 Loss_D_real: -0.035546 Loss_D_fake -0.007565
[379/5000][405/535][38876] Loss_D: -0.030525 Loss_G: 0.011845 Loss_D_real: -0.022664 Loss_D_fake 0.007861
[379/5000][410/535][38877] Loss_D: -0.030147 Loss_G: 0.023504 Loss_D_real: -0.018980 Loss_D_fake 0.011167
[379/5000][415/535][38878] Loss_D: -0.029250 Loss_G: 0.015292 Loss_D_real: -0.019564 Loss_D_fake 0.009686
[379/5000][420/535][38879] Loss_D: -0.030329 Loss_G: 0.022897 Loss_D_real: -0.028204 Loss_D_fake 0.002125
[379/5000][425/535][38880] Loss_D: -0.030062 Loss_G: -0.005597 Loss_D_real: -0.005023 Loss_D_fake 0.025039
[379/5000][430/535][38881] Loss_D: -0.028133 Loss_G: 0.011578 Loss_D_real: -0.014428 Loss_D_fake 0.013706
[379/5000][435/535][38882] Loss_D: -0.029356 Loss_G: -0.006978 Loss_D_real: -0.004462 Loss_D_fake 0.024894
[379/5000][440/535][38883] Loss_D: -0.029766 Loss_G: -0.003308 Loss_D_real: -0.010802 Loss_D_fake 0.018963
[379/5000][445/535][38884] Loss_D: -0.029050 Loss_G: 0.010602 Loss_D_real: -0.013419 Loss_D_fake 0.015631
[379/5000][450/535][38885] Loss_D: -0.028124 Loss_G: 0.041308 Loss_D_real: -0.037573 Loss_D_fake -0.009450
[379/5000][455/535][38886] Loss_D: -0.028844 Loss_G: 0.022462 Loss_D_real: -0.016369 Loss_D_fake 0.012475
[379/5000][460/535][38887] Loss_D: -0.030492 Loss_G: 0.013755 Loss_D_real: -0.018846 Loss_D_fake 0.011646
[379/5000][465/535][38888] Loss_D: -0.028627 Loss_G: 0.040350 Loss_D_real: -0.039096 Loss_D_fake -0.010469
[379/5000][470/535][38889] Loss_D: -0.030756 Loss_G: 0.000048 Loss_D_real: -0.009276 Loss_D_fake 0.021480
[379/5000][475/535][38890] Loss_D: -0.027688 Loss_G: 0.031734 Loss_D_real: -0.026939 Loss_D_fake 0.000750
[379/5000][480/535][38891] Loss_D: -0.030526 Loss_G: 0.006691 Loss_D_real: -0.015622 Loss_D_fake 0.014905
[379/5000][485/535][38892] Loss_D: -0.030002 Loss_G: 0.004148 Loss_D_real: -0.009222 Loss_D_fake 0.020780
[379/5000][490/535][38893] Loss_D: -0.027972 Loss_G: 0.022492 Loss_D_real: -0.020898 Loss_D_fake 0.007074
[379/5000][495/535][38894] Loss_D: -0.029554 Loss_G: 0.008730 Loss_D_real: -0.012178 Loss_D_fake 0.017377
[379/5000][500/535][38895] Loss_D: -0.028256 Loss_G: 0.033536 Loss_D_real: -0.039313 Loss_D_fake -0.011057
[379/5000][505/535][38896] Loss_D: -0.029406 Loss_G: 0.018181 Loss_D_real: -0.023140 Loss_D_fake 0.006266
[379/5000][510/535][38897] Loss_D: -0.028461 Loss_G: 0.000346 Loss_D_real: -0.003844 Loss_D_fake 0.024617
[379/5000][515/535][38898] Loss_D: -0.027752 Loss_G: 0.031802 Loss_D_real: -0.037119 Loss_D_fake -0.009367
[379/5000][520/535][38899] Loss_D: -0.029427 Loss_G: 0.019688 Loss_D_real: -0.021706 Loss_D_fake 0.007720
[379/5000][525/535][38900] Loss_D: -0.028662 Loss_G: 0.002457 Loss_D_real: -0.007000 Loss_D_fake 0.021662
[379/5000][530/535][38901] Loss_D: -0.030726 Loss_G: 0.002995 Loss_D_real: -0.012820 Loss_D_fake 0.017906
[379/5000][535/535][38902] Loss_D: -0.023622 Loss_G: 0.014002 Loss_D_real: -0.013883 Loss_D_fake 0.009739
[380/5000][5/535][38903] Loss_D: -0.029740 Loss_G: 0.007096 Loss_D_real: -0.014426 Loss_D_fake 0.015314
[380/5000][10/535][38904] Loss_D: -0.029388 Loss_G: 0.017758 Loss_D_real: -0.022633 Loss_D_fake 0.006755
[380/5000][15/535][38905] Loss_D: -0.029990 Loss_G: 0.019685 Loss_D_real: -0.016970 Loss_D_fake 0.013020
[380/5000][20/535][38906] Loss_D: -0.028441 Loss_G: 0.044280 Loss_D_real: -0.035305 Loss_D_fake -0.006863
[380/5000][25/535][38907] Loss_D: -0.029517 Loss_G: 0.014552 Loss_D_real: -0.014725 Loss_D_fake 0.014792
[380/5000][30/535][38908] Loss_D: -0.030614 Loss_G: -0.000981 Loss_D_real: -0.014884 Loss_D_fake 0.015730
[380/5000][35/535][38909] Loss_D: -0.028790 Loss_G: 0.031877 Loss_D_real: -0.029375 Loss_D_fake -0.000586
[380/5000][40/535][38910] Loss_D: -0.029054 Loss_G: 0.026039 Loss_D_real: -0.028435 Loss_D_fake 0.000619
[380/5000][45/535][38911] Loss_D: -0.028757 Loss_G: 0.032467 Loss_D_real: -0.035472 Loss_D_fake -0.006715
[380/5000][50/535][38912] Loss_D: -0.029156 Loss_G: -0.008307 Loss_D_real: -0.008515 Loss_D_fake 0.020642
[380/5000][55/535][38913] Loss_D: -0.029740 Loss_G: 0.008128 Loss_D_real: -0.010430 Loss_D_fake 0.019310
[380/5000][60/535][38914] Loss_D: -0.027779 Loss_G: 0.019664 Loss_D_real: -0.021416 Loss_D_fake 0.006363
[380/5000][65/535][38915] Loss_D: -0.030405 Loss_G: 0.016079 Loss_D_real: -0.025891 Loss_D_fake 0.004514
[380/5000][70/535][38916] Loss_D: -0.030066 Loss_G: 0.007824 Loss_D_real: -0.023017 Loss_D_fake 0.007049
[380/5000][75/535][38917] Loss_D: -0.027714 Loss_G: 0.029811 Loss_D_real: -0.037442 Loss_D_fake -0.009728
[380/5000][80/535][38918] Loss_D: -0.029153 Loss_G: 0.012537 Loss_D_real: -0.027334 Loss_D_fake 0.001819
[380/5000][85/535][38919] Loss_D: -0.028686 Loss_G: 0.021220 Loss_D_real: -0.023496 Loss_D_fake 0.005190
[380/5000][90/535][38920] Loss_D: -0.027503 Loss_G: 0.034573 Loss_D_real: -0.031810 Loss_D_fake -0.004306
[380/5000][95/535][38921] Loss_D: -0.029187 Loss_G: -0.003845 Loss_D_real: -0.012256 Loss_D_fake 0.016932
[380/5000][100/535][38922] Loss_D: -0.028463 Loss_G: 0.024752 Loss_D_real: -0.027590 Loss_D_fake 0.000873
[380/5000][105/535][38923] Loss_D: -0.029415 Loss_G: -0.006728 Loss_D_real: 0.000362 Loss_D_fake 0.029776
[380/5000][110/535][38924] Loss_D: -0.029050 Loss_G: 0.006010 Loss_D_real: -0.010442 Loss_D_fake 0.018609
[380/5000][115/535][38925] Loss_D: -0.029126 Loss_G: 0.017169 Loss_D_real: -0.009156 Loss_D_fake 0.019969
[380/5000][120/535][38926] Loss_D: -0.029804 Loss_G: 0.006208 Loss_D_real: -0.010758 Loss_D_fake 0.019046
[380/5000][125/535][38927] Loss_D: -0.029037 Loss_G: 0.007955 Loss_D_real: -0.009178 Loss_D_fake 0.019860
[380/5000][130/535][38928] Loss_D: -0.027835 Loss_G: 0.022774 Loss_D_real: -0.027913 Loss_D_fake -0.000078
[380/5000][135/535][38929] Loss_D: -0.029563 Loss_G: 0.033021 Loss_D_real: -0.030270 Loss_D_fake -0.000708
[380/5000][140/535][38930] Loss_D: -0.029048 Loss_G: -0.003903 Loss_D_real: -0.008607 Loss_D_fake 0.020441
[380/5000][145/535][38931] Loss_D: -0.029785 Loss_G: 0.013761 Loss_D_real: -0.026424 Loss_D_fake 0.003360
[380/5000][150/535][38932] Loss_D: -0.030277 Loss_G: 0.005275 Loss_D_real: -0.016035 Loss_D_fake 0.014242
[380/5000][155/535][38933] Loss_D: -0.029806 Loss_G: 0.026293 Loss_D_real: -0.025064 Loss_D_fake 0.004742
[380/5000][160/535][38934] Loss_D: -0.027900 Loss_G: -0.016225 Loss_D_real: 0.001239 Loss_D_fake 0.029139
[380/5000][165/535][38935] Loss_D: -0.029316 Loss_G: 0.013150 Loss_D_real: -0.021590 Loss_D_fake 0.007725
[380/5000][170/535][38936] Loss_D: -0.027352 Loss_G: 0.021555 Loss_D_real: -0.028631 Loss_D_fake -0.001279
[380/5000][175/535][38937] Loss_D: -0.029898 Loss_G: 0.009929 Loss_D_real: -0.009247 Loss_D_fake 0.020650
[380/5000][180/535][38938] Loss_D: -0.029197 Loss_G: -0.012452 Loss_D_real: -0.008134 Loss_D_fake 0.021063
[380/5000][185/535][38939] Loss_D: -0.029872 Loss_G: 0.024978 Loss_D_real: -0.020981 Loss_D_fake 0.008892
[380/5000][190/535][38940] Loss_D: -0.030957 Loss_G: 0.013520 Loss_D_real: -0.017002 Loss_D_fake 0.013955
[380/5000][195/535][38941] Loss_D: -0.031219 Loss_G: 0.028955 Loss_D_real: -0.027690 Loss_D_fake 0.003529
[380/5000][200/535][38942] Loss_D: -0.030377 Loss_G: 0.012185 Loss_D_real: -0.021124 Loss_D_fake 0.009253
[380/5000][205/535][38943] Loss_D: -0.031048 Loss_G: 0.007061 Loss_D_real: -0.024946 Loss_D_fake 0.006102
[380/5000][210/535][38944] Loss_D: -0.029716 Loss_G: 0.027105 Loss_D_real: -0.033241 Loss_D_fake -0.003525
[380/5000][215/535][38945] Loss_D: -0.030008 Loss_G: 0.004471 Loss_D_real: -0.008009 Loss_D_fake 0.021999
[380/5000][220/535][38946] Loss_D: -0.029535 Loss_G: 0.029995 Loss_D_real: -0.029088 Loss_D_fake 0.000447
[380/5000][225/535][38947] Loss_D: -0.030027 Loss_G: 0.026719 Loss_D_real: -0.033487 Loss_D_fake -0.003460
[380/5000][230/535][38948] Loss_D: -0.029767 Loss_G: 0.017104 Loss_D_real: -0.015865 Loss_D_fake 0.013903
[380/5000][235/535][38949] Loss_D: -0.028499 Loss_G: 0.029152 Loss_D_real: -0.023746 Loss_D_fake 0.004753
[380/5000][240/535][38950] Loss_D: -0.028789 Loss_G: -0.025542 Loss_D_real: 0.002468 Loss_D_fake 0.031257
[380/5000][245/535][38951] Loss_D: -0.027021 Loss_G: 0.027039 Loss_D_real: -0.032506 Loss_D_fake -0.005485
[380/5000][250/535][38952] Loss_D: -0.028038 Loss_G: 0.010440 Loss_D_real: -0.012674 Loss_D_fake 0.015364
[380/5000][255/535][38953] Loss_D: -0.029668 Loss_G: 0.017179 Loss_D_real: -0.026184 Loss_D_fake 0.003484
[380/5000][260/535][38954] Loss_D: -0.029968 Loss_G: 0.014803 Loss_D_real: -0.023741 Loss_D_fake 0.006227
[380/5000][265/535][38955] Loss_D: -0.029700 Loss_G: 0.023959 Loss_D_real: -0.025517 Loss_D_fake 0.004183
[380/5000][270/535][38956] Loss_D: -0.029193 Loss_G: 0.014173 Loss_D_real: -0.022354 Loss_D_fake 0.006839
[380/5000][275/535][38957] Loss_D: -0.028633 Loss_G: 0.029792 Loss_D_real: -0.038374 Loss_D_fake -0.009741
[380/5000][280/535][38958] Loss_D: -0.030143 Loss_G: 0.000327 Loss_D_real: -0.001731 Loss_D_fake 0.028412
[380/5000][285/535][38959] Loss_D: -0.028929 Loss_G: 0.028481 Loss_D_real: -0.027200 Loss_D_fake 0.001729
[380/5000][290/535][38960] Loss_D: -0.027246 Loss_G: 0.036987 Loss_D_real: -0.039189 Loss_D_fake -0.011943
[380/5000][295/535][38961] Loss_D: -0.030140 Loss_G: 0.013858 Loss_D_real: -0.021914 Loss_D_fake 0.008226
[380/5000][300/535][38962] Loss_D: -0.030000 Loss_G: 0.000963 Loss_D_real: -0.011183 Loss_D_fake 0.018817
[380/5000][305/535][38963] Loss_D: -0.029622 Loss_G: 0.001312 Loss_D_real: -0.022303 Loss_D_fake 0.007319
[380/5000][310/535][38964] Loss_D: -0.029861 Loss_G: 0.028085 Loss_D_real: -0.026387 Loss_D_fake 0.003474
[380/5000][315/535][38965] Loss_D: -0.029337 Loss_G: 0.017800 Loss_D_real: -0.024197 Loss_D_fake 0.005139
[380/5000][320/535][38966] Loss_D: -0.028330 Loss_G: -0.006971 Loss_D_real: -0.007044 Loss_D_fake 0.021286
[380/5000][325/535][38967] Loss_D: -0.027329 Loss_G: 0.035728 Loss_D_real: -0.038921 Loss_D_fake -0.011592
[380/5000][330/535][38968] Loss_D: -0.028006 Loss_G: 0.020007 Loss_D_real: -0.023226 Loss_D_fake 0.004780
[380/5000][335/535][38969] Loss_D: -0.028628 Loss_G: 0.003314 Loss_D_real: -0.020994 Loss_D_fake 0.007634
[380/5000][340/535][38970] Loss_D: -0.028933 Loss_G: -0.003951 Loss_D_real: -0.008010 Loss_D_fake 0.020924
[380/5000][345/535][38971] Loss_D: -0.027770 Loss_G: 0.025054 Loss_D_real: -0.028527 Loss_D_fake -0.000757
[380/5000][350/535][38972] Loss_D: -0.030952 Loss_G: 0.021658 Loss_D_real: -0.016270 Loss_D_fake 0.014681
[380/5000][355/535][38973] Loss_D: -0.026850 Loss_G: 0.042684 Loss_D_real: -0.041389 Loss_D_fake -0.014539
[380/5000][360/535][38974] Loss_D: -0.028551 Loss_G: 0.015782 Loss_D_real: -0.013524 Loss_D_fake 0.015027
[380/5000][365/535][38975] Loss_D: -0.028454 Loss_G: 0.031277 Loss_D_real: -0.028713 Loss_D_fake -0.000259
[380/5000][370/535][38976] Loss_D: -0.028901 Loss_G: -0.000228 Loss_D_real: -0.005022 Loss_D_fake 0.023879
[380/5000][375/535][38977] Loss_D: -0.029014 Loss_G: 0.020136 Loss_D_real: -0.018935 Loss_D_fake 0.010079
[380/5000][380/535][38978] Loss_D: -0.028275 Loss_G: 0.020804 Loss_D_real: -0.026867 Loss_D_fake 0.001408
[380/5000][385/535][38979] Loss_D: -0.027045 Loss_G: -0.009142 Loss_D_real: -0.002129 Loss_D_fake 0.024917
[380/5000][390/535][38980] Loss_D: -0.030175 Loss_G: 0.009910 Loss_D_real: -0.023767 Loss_D_fake 0.006408
[380/5000][395/535][38981] Loss_D: -0.027751 Loss_G: 0.027264 Loss_D_real: -0.029469 Loss_D_fake -0.001718
[380/5000][400/535][38982] Loss_D: -0.028881 Loss_G: 0.021425 Loss_D_real: -0.028500 Loss_D_fake 0.000381
[380/5000][405/535][38983] Loss_D: -0.031654 Loss_G: 0.034767 Loss_D_real: -0.027114 Loss_D_fake 0.004540
[380/5000][410/535][38984] Loss_D: -0.028545 Loss_G: -0.007883 Loss_D_real: 0.000244 Loss_D_fake 0.028790
[380/5000][415/535][38985] Loss_D: -0.028713 Loss_G: 0.032204 Loss_D_real: -0.029218 Loss_D_fake -0.000505
[380/5000][420/535][38986] Loss_D: -0.029635 Loss_G: 0.017335 Loss_D_real: -0.024062 Loss_D_fake 0.005574
[380/5000][425/535][38987] Loss_D: -0.030866 Loss_G: 0.017447 Loss_D_real: -0.014016 Loss_D_fake 0.016851
[380/5000][430/535][38988] Loss_D: -0.030943 Loss_G: 0.021825 Loss_D_real: -0.025599 Loss_D_fake 0.005344
[380/5000][435/535][38989] Loss_D: -0.031287 Loss_G: 0.025690 Loss_D_real: -0.012492 Loss_D_fake 0.018795
[380/5000][440/535][38990] Loss_D: -0.030335 Loss_G: 0.018649 Loss_D_real: -0.021576 Loss_D_fake 0.008759
[380/5000][445/535][38991] Loss_D: -0.030776 Loss_G: 0.021777 Loss_D_real: -0.024133 Loss_D_fake 0.006643
[380/5000][450/535][38992] Loss_D: -0.031051 Loss_G: 0.017292 Loss_D_real: -0.020029 Loss_D_fake 0.011022
[380/5000][455/535][38993] Loss_D: -0.030339 Loss_G: 0.007217 Loss_D_real: -0.016081 Loss_D_fake 0.014258
[380/5000][460/535][38994] Loss_D: -0.028826 Loss_G: 0.033944 Loss_D_real: -0.034449 Loss_D_fake -0.005623
[380/5000][465/535][38995] Loss_D: -0.028846 Loss_G: -0.013820 Loss_D_real: 0.001622 Loss_D_fake 0.030467
[380/5000][470/535][38996] Loss_D: -0.028864 Loss_G: 0.030803 Loss_D_real: -0.022003 Loss_D_fake 0.006861
[380/5000][475/535][38997] Loss_D: -0.028460 Loss_G: 0.011260 Loss_D_real: -0.022574 Loss_D_fake 0.005886
[380/5000][480/535][38998] Loss_D: -0.030191 Loss_G: 0.014024 Loss_D_real: -0.010120 Loss_D_fake 0.020071
[380/5000][485/535][38999] Loss_D: -0.028754 Loss_G: 0.026126 Loss_D_real: -0.028955 Loss_D_fake -0.000201
[380/5000][490/535][39000] Loss_D: -0.029286 Loss_G: 0.027384 Loss_D_real: -0.031145 Loss_D_fake -0.001859
[380/5000][535/535][39001] Loss_D: -0.027242 Loss_G: 0.007230 Loss_D_real: -0.009063 Loss_D_fake 0.018179
[381/5000][5/535][39002] Loss_D: -0.031630 Loss_G: 0.016322 Loss_D_real: -0.017430 Loss_D_fake 0.014200
[381/5000][10/535][39003] Loss_D: -0.028781 Loss_G: 0.008112 Loss_D_real: -0.009394 Loss_D_fake 0.019387
[381/5000][15/535][39004] Loss_D: -0.028606 Loss_G: 0.008433 Loss_D_real: -0.013782 Loss_D_fake 0.014825
[381/5000][20/535][39005] Loss_D: -0.028157 Loss_G: 0.003458 Loss_D_real: -0.015540 Loss_D_fake 0.012617
[381/5000][25/535][39006] Loss_D: -0.029031 Loss_G: 0.018641 Loss_D_real: -0.018668 Loss_D_fake 0.010363
[381/5000][30/535][39007] Loss_D: -0.030574 Loss_G: 0.017101 Loss_D_real: -0.016648 Loss_D_fake 0.013926
[381/5000][35/535][39008] Loss_D: -0.029424 Loss_G: 0.022607 Loss_D_real: -0.035606 Loss_D_fake -0.006182
[381/5000][40/535][39009] Loss_D: -0.029707 Loss_G: 0.031479 Loss_D_real: -0.033817 Loss_D_fake -0.004110
[381/5000][45/535][39010] Loss_D: -0.029710 Loss_G: 0.007519 Loss_D_real: -0.018564 Loss_D_fake 0.011146
[381/5000][50/535][39011] Loss_D: -0.030399 Loss_G: 0.010498 Loss_D_real: -0.029813 Loss_D_fake 0.000587
[381/5000][55/535][39012] Loss_D: -0.029513 Loss_G: 0.012662 Loss_D_real: -0.015765 Loss_D_fake 0.013748
[381/5000][60/535][39013] Loss_D: -0.030123 Loss_G: 0.027395 Loss_D_real: -0.025482 Loss_D_fake 0.004641
[381/5000][65/535][39014] Loss_D: -0.030378 Loss_G: -0.000025 Loss_D_real: -0.016482 Loss_D_fake 0.013896
[381/5000][70/535][39015] Loss_D: -0.030541 Loss_G: 0.027263 Loss_D_real: -0.021788 Loss_D_fake 0.008752
[381/5000][75/535][39016] Loss_D: -0.028395 Loss_G: 0.030187 Loss_D_real: -0.032392 Loss_D_fake -0.003997
[381/5000][80/535][39017] Loss_D: -0.029744 Loss_G: 0.002319 Loss_D_real: -0.007037 Loss_D_fake 0.022708
[381/5000][85/535][39018] Loss_D: -0.028002 Loss_G: 0.021346 Loss_D_real: -0.020202 Loss_D_fake 0.007800
[381/5000][90/535][39019] Loss_D: -0.028984 Loss_G: 0.022549 Loss_D_real: -0.018683 Loss_D_fake 0.010301
[381/5000][95/535][39020] Loss_D: -0.029827 Loss_G: 0.025474 Loss_D_real: -0.028436 Loss_D_fake 0.001391
[381/5000][100/535][39021] Loss_D: -0.029078 Loss_G: 0.031839 Loss_D_real: -0.029476 Loss_D_fake -0.000398
[381/5000][105/535][39022] Loss_D: -0.030402 Loss_G: -0.003879 Loss_D_real: -0.007437 Loss_D_fake 0.022965
[381/5000][110/535][39023] Loss_D: -0.030439 Loss_G: 0.013547 Loss_D_real: -0.026306 Loss_D_fake 0.004133
[381/5000][115/535][39024] Loss_D: -0.028535 Loss_G: 0.023825 Loss_D_real: -0.029813 Loss_D_fake -0.001278
[381/5000][120/535][39025] Loss_D: -0.029545 Loss_G: 0.028718 Loss_D_real: -0.023111 Loss_D_fake 0.006434
[381/5000][125/535][39026] Loss_D: -0.029869 Loss_G: 0.021008 Loss_D_real: -0.024218 Loss_D_fake 0.005651
[381/5000][130/535][39027] Loss_D: -0.029628 Loss_G: 0.017052 Loss_D_real: -0.035639 Loss_D_fake -0.006011
[381/5000][135/535][39028] Loss_D: -0.029497 Loss_G: 0.032566 Loss_D_real: -0.033638 Loss_D_fake -0.004141
[381/5000][140/535][39029] Loss_D: -0.028933 Loss_G: -0.008101 Loss_D_real: -0.007356 Loss_D_fake 0.021576
[381/5000][145/535][39030] Loss_D: -0.030032 Loss_G: 0.006352 Loss_D_real: -0.015801 Loss_D_fake 0.014231
[381/5000][150/535][39031] Loss_D: -0.031072 Loss_G: 0.014989 Loss_D_real: -0.030214 Loss_D_fake 0.000859
[381/5000][155/535][39032] Loss_D: -0.028793 Loss_G: 0.041428 Loss_D_real: -0.037552 Loss_D_fake -0.008758
[381/5000][160/535][39033] Loss_D: -0.028970 Loss_G: 0.001731 Loss_D_real: -0.003252 Loss_D_fake 0.025718
[381/5000][165/535][39034] Loss_D: -0.030718 Loss_G: -0.000119 Loss_D_real: -0.013015 Loss_D_fake 0.017704
[381/5000][170/535][39035] Loss_D: -0.028473 Loss_G: 0.013774 Loss_D_real: -0.018465 Loss_D_fake 0.010008
[381/5000][175/535][39036] Loss_D: -0.028814 Loss_G: 0.012598 Loss_D_real: -0.014541 Loss_D_fake 0.014273
[381/5000][180/535][39037] Loss_D: -0.029378 Loss_G: 0.002509 Loss_D_real: -0.003876 Loss_D_fake 0.025502
[381/5000][185/535][39038] Loss_D: -0.027921 Loss_G: 0.031666 Loss_D_real: -0.029150 Loss_D_fake -0.001228
[381/5000][190/535][39039] Loss_D: -0.027583 Loss_G: -0.013669 Loss_D_real: 0.009053 Loss_D_fake 0.036636
[381/5000][195/535][39040] Loss_D: -0.028080 Loss_G: 0.013577 Loss_D_real: -0.021070 Loss_D_fake 0.007011
[381/5000][200/535][39041] Loss_D: -0.028156 Loss_G: -0.005025 Loss_D_real: -0.007070 Loss_D_fake 0.021086
[381/5000][205/535][39042] Loss_D: -0.031093 Loss_G: 0.018475 Loss_D_real: -0.025416 Loss_D_fake 0.005677
[381/5000][210/535][39043] Loss_D: -0.028239 Loss_G: 0.031385 Loss_D_real: -0.032423 Loss_D_fake -0.004184
[381/5000][215/535][39044] Loss_D: -0.028617 Loss_G: 0.009630 Loss_D_real: -0.011671 Loss_D_fake 0.016946
[381/5000][220/535][39045] Loss_D: -0.026902 Loss_G: 0.015319 Loss_D_real: -0.022392 Loss_D_fake 0.004510
[381/5000][225/535][39046] Loss_D: -0.028338 Loss_G: 0.018976 Loss_D_real: -0.019607 Loss_D_fake 0.008731
[381/5000][230/535][39047] Loss_D: -0.030087 Loss_G: 0.003210 Loss_D_real: -0.015128 Loss_D_fake 0.014959
[381/5000][235/535][39048] Loss_D: -0.029865 Loss_G: 0.009261 Loss_D_real: -0.025004 Loss_D_fake 0.004861
[381/5000][240/535][39049] Loss_D: -0.030751 Loss_G: 0.025801 Loss_D_real: -0.025832 Loss_D_fake 0.004919
[381/5000][245/535][39050] Loss_D: -0.031273 Loss_G: 0.005239 Loss_D_real: -0.008625 Loss_D_fake 0.022648
[381/5000][250/535][39051] Loss_D: -0.029435 Loss_G: 0.005628 Loss_D_real: -0.008856 Loss_D_fake 0.020579
[381/5000][255/535][39052] Loss_D: -0.029772 Loss_G: 0.009068 Loss_D_real: -0.013887 Loss_D_fake 0.015885
[381/5000][260/535][39053] Loss_D: -0.029769 Loss_G: 0.027224 Loss_D_real: -0.030310 Loss_D_fake -0.000542
[381/5000][265/535][39054] Loss_D: -0.028985 Loss_G: 0.026816 Loss_D_real: -0.032623 Loss_D_fake -0.003638
[381/5000][270/535][39055] Loss_D: -0.029013 Loss_G: 0.003330 Loss_D_real: -0.012362 Loss_D_fake 0.016651
[381/5000][275/535][39056] Loss_D: -0.030001 Loss_G: 0.014854 Loss_D_real: -0.016017 Loss_D_fake 0.013984
[381/5000][280/535][39057] Loss_D: -0.029127 Loss_G: 0.025191 Loss_D_real: -0.035704 Loss_D_fake -0.006577
[381/5000][285/535][39058] Loss_D: -0.029185 Loss_G: -0.001433 Loss_D_real: -0.007006 Loss_D_fake 0.022179
[381/5000][290/535][39059] Loss_D: -0.029538 Loss_G: 0.025573 Loss_D_real: -0.024705 Loss_D_fake 0.004832
[381/5000][295/535][39060] Loss_D: -0.027885 Loss_G: 0.022178 Loss_D_real: -0.028375 Loss_D_fake -0.000490
[381/5000][300/535][39061] Loss_D: -0.029643 Loss_G: 0.014548 Loss_D_real: -0.022443 Loss_D_fake 0.007200
[381/5000][305/535][39062] Loss_D: -0.029481 Loss_G: 0.013540 Loss_D_real: -0.019961 Loss_D_fake 0.009520
[381/5000][310/535][39063] Loss_D: -0.030378 Loss_G: 0.019252 Loss_D_real: -0.034089 Loss_D_fake -0.003711
[381/5000][315/535][39064] Loss_D: -0.031621 Loss_G: 0.011803 Loss_D_real: -0.017681 Loss_D_fake 0.013941
[381/5000][320/535][39065] Loss_D: -0.029883 Loss_G: 0.022605 Loss_D_real: -0.025032 Loss_D_fake 0.004851
[381/5000][325/535][39066] Loss_D: -0.030489 Loss_G: 0.000236 Loss_D_real: -0.002023 Loss_D_fake 0.028466
[381/5000][330/535][39067] Loss_D: -0.027069 Loss_G: 0.035252 Loss_D_real: -0.034532 Loss_D_fake -0.007463
[381/5000][335/535][39068] Loss_D: -0.028199 Loss_G: 0.034852 Loss_D_real: -0.035107 Loss_D_fake -0.006908
[381/5000][340/535][39069] Loss_D: -0.029238 Loss_G: 0.003562 Loss_D_real: -0.005873 Loss_D_fake 0.023365
[381/5000][345/535][39070] Loss_D: -0.027945 Loss_G: 0.035762 Loss_D_real: -0.034021 Loss_D_fake -0.006076
[381/5000][350/535][39071] Loss_D: -0.028328 Loss_G: 0.027681 Loss_D_real: -0.028881 Loss_D_fake -0.000553
[381/5000][355/535][39072] Loss_D: -0.028554 Loss_G: 0.012024 Loss_D_real: -0.013599 Loss_D_fake 0.014955
[381/5000][360/535][39073] Loss_D: -0.028963 Loss_G: 0.017202 Loss_D_real: -0.015091 Loss_D_fake 0.013872
[381/5000][365/535][39074] Loss_D: -0.028853 Loss_G: 0.030443 Loss_D_real: -0.033106 Loss_D_fake -0.004253
[381/5000][370/535][39075] Loss_D: -0.028486 Loss_G: 0.019900 Loss_D_real: -0.022866 Loss_D_fake 0.005620
[381/5000][375/535][39076] Loss_D: -0.030432 Loss_G: 0.001024 Loss_D_real: -0.016221 Loss_D_fake 0.014211
[381/5000][380/535][39077] Loss_D: -0.029198 Loss_G: 0.019508 Loss_D_real: -0.033442 Loss_D_fake -0.004244
[381/5000][385/535][39078] Loss_D: -0.029329 Loss_G: 0.013455 Loss_D_real: -0.016859 Loss_D_fake 0.012470
[381/5000][390/535][39079] Loss_D: -0.028952 Loss_G: 0.020297 Loss_D_real: -0.029286 Loss_D_fake -0.000335
[381/5000][395/535][39080] Loss_D: -0.028238 Loss_G: 0.025277 Loss_D_real: -0.025097 Loss_D_fake 0.003141
[381/5000][400/535][39081] Loss_D: -0.029691 Loss_G: -0.012253 Loss_D_real: -0.008787 Loss_D_fake 0.020904
[381/5000][405/535][39082] Loss_D: -0.028605 Loss_G: 0.017334 Loss_D_real: -0.022661 Loss_D_fake 0.005944
[381/5000][410/535][39083] Loss_D: -0.029299 Loss_G: 0.021597 Loss_D_real: -0.034458 Loss_D_fake -0.005159
[381/5000][415/535][39084] Loss_D: -0.029795 Loss_G: 0.019060 Loss_D_real: -0.020874 Loss_D_fake 0.008921
[381/5000][420/535][39085] Loss_D: -0.030124 Loss_G: 0.004948 Loss_D_real: -0.022534 Loss_D_fake 0.007589
[381/5000][425/535][39086] Loss_D: -0.028619 Loss_G: 0.027633 Loss_D_real: -0.033657 Loss_D_fake -0.005038
[381/5000][430/535][39087] Loss_D: -0.029482 Loss_G: 0.007822 Loss_D_real: -0.020535 Loss_D_fake 0.008947
[381/5000][435/535][39088] Loss_D: -0.028221 Loss_G: 0.003292 Loss_D_real: -0.019520 Loss_D_fake 0.008701
[381/5000][440/535][39089] Loss_D: -0.028567 Loss_G: 0.028584 Loss_D_real: -0.034430 Loss_D_fake -0.005863
[381/5000][445/535][39090] Loss_D: -0.030879 Loss_G: -0.005252 Loss_D_real: -0.014120 Loss_D_fake 0.016759
[381/5000][450/535][39091] Loss_D: -0.029262 Loss_G: 0.015535 Loss_D_real: -0.023796 Loss_D_fake 0.005466
[381/5000][455/535][39092] Loss_D: -0.028283 Loss_G: 0.042423 Loss_D_real: -0.040872 Loss_D_fake -0.012590
[381/5000][460/535][39093] Loss_D: -0.029217 Loss_G: 0.018117 Loss_D_real: -0.023213 Loss_D_fake 0.006004
[381/5000][465/535][39094] Loss_D: -0.030086 Loss_G: 0.026163 Loss_D_real: -0.022496 Loss_D_fake 0.007590
[381/5000][470/535][39095] Loss_D: -0.030159 Loss_G: 0.003872 Loss_D_real: -0.013029 Loss_D_fake 0.017130
[381/5000][475/535][39096] Loss_D: -0.029253 Loss_G: 0.024860 Loss_D_real: -0.036306 Loss_D_fake -0.007053
[381/5000][480/535][39097] Loss_D: -0.030260 Loss_G: 0.033966 Loss_D_real: -0.027762 Loss_D_fake 0.002498
[381/5000][485/535][39098] Loss_D: -0.029933 Loss_G: 0.022233 Loss_D_real: -0.022191 Loss_D_fake 0.007742
[381/5000][490/535][39099] Loss_D: -0.030921 Loss_G: -0.001921 Loss_D_real: -0.009257 Loss_D_fake 0.021664
[381/5000][495/535][39100] Loss_D: -0.028553 Loss_G: 0.025059 Loss_D_real: -0.027847 Loss_D_fake 0.000706
[381/5000][500/535][39101] Loss_D: -0.029074 Loss_G: 0.001919 Loss_D_real: -0.013589 Loss_D_fake 0.015484
[381/5000][505/535][39102] Loss_D: -0.027970 Loss_G: 0.034234 Loss_D_real: -0.032946 Loss_D_fake -0.004976
[381/5000][510/535][39103] Loss_D: -0.030251 Loss_G: 0.017097 Loss_D_real: -0.012083 Loss_D_fake 0.018168
[381/5000][515/535][39104] Loss_D: -0.029753 Loss_G: 0.012362 Loss_D_real: -0.024887 Loss_D_fake 0.004866
[381/5000][520/535][39105] Loss_D: -0.027932 Loss_G: 0.031645 Loss_D_real: -0.033682 Loss_D_fake -0.005750
[381/5000][525/535][39106] Loss_D: -0.027148 Loss_G: -0.018521 Loss_D_real: -0.002584 Loss_D_fake 0.024564
[381/5000][530/535][39107] Loss_D: -0.028595 Loss_G: 0.008707 Loss_D_real: -0.014463 Loss_D_fake 0.014131
[381/5000][535/535][39108] Loss_D: -0.024120 Loss_G: 0.040605 Loss_D_real: -0.033019 Loss_D_fake -0.008899
[382/5000][5/535][39109] Loss_D: -0.030188 Loss_G: 0.026715 Loss_D_real: -0.036850 Loss_D_fake -0.006662
[382/5000][10/535][39110] Loss_D: -0.028557 Loss_G: 0.015997 Loss_D_real: -0.027582 Loss_D_fake 0.000976
[382/5000][15/535][39111] Loss_D: -0.029742 Loss_G: 0.002989 Loss_D_real: -0.016897 Loss_D_fake 0.012845
[382/5000][20/535][39112] Loss_D: -0.027905 Loss_G: 0.022982 Loss_D_real: -0.033548 Loss_D_fake -0.005643
[382/5000][25/535][39113] Loss_D: -0.030089 Loss_G: 0.019096 Loss_D_real: -0.021587 Loss_D_fake 0.008502
[382/5000][30/535][39114] Loss_D: -0.030028 Loss_G: 0.014397 Loss_D_real: -0.016627 Loss_D_fake 0.013401
[382/5000][35/535][39115] Loss_D: -0.029992 Loss_G: 0.032399 Loss_D_real: -0.036274 Loss_D_fake -0.006282
[382/5000][40/535][39116] Loss_D: -0.029063 Loss_G: 0.008317 Loss_D_real: -0.017706 Loss_D_fake 0.011357
[382/5000][45/535][39117] Loss_D: -0.028777 Loss_G: 0.030064 Loss_D_real: -0.030769 Loss_D_fake -0.001992
[382/5000][50/535][39118] Loss_D: -0.029699 Loss_G: 0.001591 Loss_D_real: -0.008668 Loss_D_fake 0.021031
[382/5000][55/535][39119] Loss_D: -0.028621 Loss_G: 0.032629 Loss_D_real: -0.026854 Loss_D_fake 0.001768
[382/5000][60/535][39120] Loss_D: -0.029083 Loss_G: 0.018043 Loss_D_real: -0.017004 Loss_D_fake 0.012079
[382/5000][65/535][39121] Loss_D: -0.029105 Loss_G: 0.009051 Loss_D_real: -0.025047 Loss_D_fake 0.004058
[382/5000][70/535][39122] Loss_D: -0.028046 Loss_G: -0.005589 Loss_D_real: -0.004816 Loss_D_fake 0.023230
[382/5000][75/535][39123] Loss_D: -0.029250 Loss_G: 0.013083 Loss_D_real: -0.019624 Loss_D_fake 0.009626
[382/5000][80/535][39124] Loss_D: -0.027952 Loss_G: 0.026441 Loss_D_real: -0.034529 Loss_D_fake -0.006577
[382/5000][85/535][39125] Loss_D: -0.029228 Loss_G: 0.022680 Loss_D_real: -0.027132 Loss_D_fake 0.002096
[382/5000][90/535][39126] Loss_D: -0.028812 Loss_G: 0.008293 Loss_D_real: -0.004895 Loss_D_fake 0.023917
[382/5000][95/535][39127] Loss_D: -0.027730 Loss_G: 0.028037 Loss_D_real: -0.028698 Loss_D_fake -0.000968
[382/5000][100/535][39128] Loss_D: -0.027505 Loss_G: 0.017673 Loss_D_real: -0.025635 Loss_D_fake 0.001871
[382/5000][105/535][39129] Loss_D: -0.029015 Loss_G: 0.000954 Loss_D_real: -0.017444 Loss_D_fake 0.011571
[382/5000][110/535][39130] Loss_D: -0.029032 Loss_G: 0.004332 Loss_D_real: -0.014812 Loss_D_fake 0.014220
[382/5000][115/535][39131] Loss_D: -0.029688 Loss_G: 0.002352 Loss_D_real: -0.020455 Loss_D_fake 0.009233
[382/5000][120/535][39132] Loss_D: -0.028641 Loss_G: 0.024111 Loss_D_real: -0.023052 Loss_D_fake 0.005590
[382/5000][125/535][39133] Loss_D: -0.030183 Loss_G: 0.016543 Loss_D_real: -0.024182 Loss_D_fake 0.006001
[382/5000][130/535][39134] Loss_D: -0.029070 Loss_G: 0.005998 Loss_D_real: -0.010580 Loss_D_fake 0.018490
[382/5000][135/535][39135] Loss_D: -0.028840 Loss_G: 0.017187 Loss_D_real: -0.017412 Loss_D_fake 0.011428
[382/5000][140/535][39136] Loss_D: -0.030521 Loss_G: -0.001640 Loss_D_real: -0.008315 Loss_D_fake 0.022206
[382/5000][145/535][39137] Loss_D: -0.030149 Loss_G: 0.026661 Loss_D_real: -0.029161 Loss_D_fake 0.000988
[382/5000][150/535][39138] Loss_D: -0.028011 Loss_G: 0.019803 Loss_D_real: -0.026127 Loss_D_fake 0.001884
[382/5000][155/535][39139] Loss_D: -0.029046 Loss_G: 0.010706 Loss_D_real: -0.007817 Loss_D_fake 0.021229
[382/5000][160/535][39140] Loss_D: -0.029679 Loss_G: 0.008223 Loss_D_real: -0.010378 Loss_D_fake 0.019301
[382/5000][165/535][39141] Loss_D: -0.029052 Loss_G: 0.011714 Loss_D_real: -0.019639 Loss_D_fake 0.009413
[382/5000][170/535][39142] Loss_D: -0.029713 Loss_G: 0.015652 Loss_D_real: -0.024533 Loss_D_fake 0.005180
[382/5000][175/535][39143] Loss_D: -0.028671 Loss_G: 0.011895 Loss_D_real: -0.021880 Loss_D_fake 0.006791
[382/5000][180/535][39144] Loss_D: -0.029668 Loss_G: 0.019575 Loss_D_real: -0.027026 Loss_D_fake 0.002642
[382/5000][185/535][39145] Loss_D: -0.029008 Loss_G: 0.003516 Loss_D_real: -0.006111 Loss_D_fake 0.022897
[382/5000][190/535][39146] Loss_D: -0.028854 Loss_G: 0.001804 Loss_D_real: -0.010771 Loss_D_fake 0.018083
[382/5000][195/535][39147] Loss_D: -0.029822 Loss_G: 0.031667 Loss_D_real: -0.029201 Loss_D_fake 0.000621
[382/5000][200/535][39148] Loss_D: -0.029579 Loss_G: 0.016722 Loss_D_real: -0.019835 Loss_D_fake 0.009744
[382/5000][205/535][39149] Loss_D: -0.029066 Loss_G: 0.007810 Loss_D_real: -0.022830 Loss_D_fake 0.006235
[382/5000][210/535][39150] Loss_D: -0.029026 Loss_G: 0.014078 Loss_D_real: -0.014900 Loss_D_fake 0.014126
[382/5000][215/535][39151] Loss_D: -0.028160 Loss_G: 0.046981 Loss_D_real: -0.039977 Loss_D_fake -0.011817
[382/5000][220/535][39152] Loss_D: -0.028301 Loss_G: 0.018944 Loss_D_real: -0.029536 Loss_D_fake -0.001235
[382/5000][225/535][39153] Loss_D: -0.029836 Loss_G: 0.026590 Loss_D_real: -0.030368 Loss_D_fake -0.000532
[382/5000][230/535][39154] Loss_D: -0.028976 Loss_G: 0.037569 Loss_D_real: -0.039852 Loss_D_fake -0.010877
[382/5000][235/535][39155] Loss_D: -0.028785 Loss_G: 0.004760 Loss_D_real: -0.012819 Loss_D_fake 0.015966
[382/5000][240/535][39156] Loss_D: -0.030285 Loss_G: 0.009453 Loss_D_real: -0.007197 Loss_D_fake 0.023088
[382/5000][245/535][39157] Loss_D: -0.029744 Loss_G: 0.027103 Loss_D_real: -0.040159 Loss_D_fake -0.010414
[382/5000][250/535][39158] Loss_D: -0.030166 Loss_G: 0.030724 Loss_D_real: -0.027760 Loss_D_fake 0.002405
[382/5000][255/535][39159] Loss_D: -0.028242 Loss_G: -0.009139 Loss_D_real: 0.008695 Loss_D_fake 0.036938
[382/5000][260/535][39160] Loss_D: -0.028325 Loss_G: 0.021419 Loss_D_real: -0.017766 Loss_D_fake 0.010559
[382/5000][265/535][39161] Loss_D: -0.028473 Loss_G: 0.009328 Loss_D_real: -0.010739 Loss_D_fake 0.017734
[382/5000][270/535][39162] Loss_D: -0.030482 Loss_G: 0.013580 Loss_D_real: -0.014764 Loss_D_fake 0.015717
[382/5000][275/535][39163] Loss_D: -0.029842 Loss_G: 0.015856 Loss_D_real: -0.019271 Loss_D_fake 0.010572
[382/5000][280/535][39164] Loss_D: -0.029337 Loss_G: 0.004716 Loss_D_real: -0.015737 Loss_D_fake 0.013600
[382/5000][285/535][39165] Loss_D: -0.029202 Loss_G: 0.028217 Loss_D_real: -0.027665 Loss_D_fake 0.001537
[382/5000][290/535][39166] Loss_D: -0.031183 Loss_G: 0.008307 Loss_D_real: -0.015080 Loss_D_fake 0.016103
[382/5000][295/535][39167] Loss_D: -0.028687 Loss_G: 0.020772 Loss_D_real: -0.030311 Loss_D_fake -0.001624
[382/5000][300/535][39168] Loss_D: -0.028832 Loss_G: 0.031800 Loss_D_real: -0.037630 Loss_D_fake -0.008799
[382/5000][305/535][39169] Loss_D: -0.029465 Loss_G: 0.021090 Loss_D_real: -0.017510 Loss_D_fake 0.011956
[382/5000][310/535][39170] Loss_D: -0.030143 Loss_G: 0.002122 Loss_D_real: -0.008205 Loss_D_fake 0.021938
[382/5000][315/535][39171] Loss_D: -0.028963 Loss_G: 0.017941 Loss_D_real: -0.024362 Loss_D_fake 0.004601
[382/5000][320/535][39172] Loss_D: -0.029238 Loss_G: -0.005188 Loss_D_real: 0.001781 Loss_D_fake 0.031018
[382/5000][325/535][39173] Loss_D: -0.029270 Loss_G: 0.024052 Loss_D_real: -0.030085 Loss_D_fake -0.000816
[382/5000][330/535][39174] Loss_D: -0.029623 Loss_G: 0.004073 Loss_D_real: -0.006575 Loss_D_fake 0.023048
[382/5000][335/535][39175] Loss_D: -0.027979 Loss_G: 0.006839 Loss_D_real: -0.012179 Loss_D_fake 0.015800
[382/5000][340/535][39176] Loss_D: -0.029336 Loss_G: 0.033280 Loss_D_real: -0.029512 Loss_D_fake -0.000176
[382/5000][345/535][39177] Loss_D: -0.029501 Loss_G: 0.021695 Loss_D_real: -0.026233 Loss_D_fake 0.003268
[382/5000][350/535][39178] Loss_D: -0.029440 Loss_G: 0.003500 Loss_D_real: -0.017344 Loss_D_fake 0.012095
[382/5000][355/535][39179] Loss_D: -0.027101 Loss_G: 0.034894 Loss_D_real: -0.035787 Loss_D_fake -0.008687
[382/5000][360/535][39180] Loss_D: -0.031180 Loss_G: -0.004831 Loss_D_real: -0.006156 Loss_D_fake 0.025024
[382/5000][365/535][39181] Loss_D: -0.029508 Loss_G: 0.016150 Loss_D_real: -0.024327 Loss_D_fake 0.005182
[382/5000][370/535][39182] Loss_D: -0.028263 Loss_G: 0.031645 Loss_D_real: -0.035613 Loss_D_fake -0.007350
[382/5000][375/535][39183] Loss_D: -0.030918 Loss_G: 0.014528 Loss_D_real: -0.019627 Loss_D_fake 0.011290
[382/5000][380/535][39184] Loss_D: -0.029280 Loss_G: 0.037147 Loss_D_real: -0.033626 Loss_D_fake -0.004346
[382/5000][385/535][39185] Loss_D: -0.028751 Loss_G: 0.029506 Loss_D_real: -0.025658 Loss_D_fake 0.003093
[382/5000][390/535][39186] Loss_D: -0.029923 Loss_G: -0.007453 Loss_D_real: -0.007247 Loss_D_fake 0.022676
[382/5000][395/535][39187] Loss_D: -0.029549 Loss_G: 0.007976 Loss_D_real: -0.019182 Loss_D_fake 0.010368
[382/5000][400/535][39188] Loss_D: -0.030359 Loss_G: -0.000560 Loss_D_real: -0.010721 Loss_D_fake 0.019638
[382/5000][405/535][39189] Loss_D: -0.029484 Loss_G: 0.026647 Loss_D_real: -0.038476 Loss_D_fake -0.008992
[382/5000][410/535][39190] Loss_D: -0.029011 Loss_G: 0.021584 Loss_D_real: -0.025354 Loss_D_fake 0.003657
[382/5000][415/535][39191] Loss_D: -0.030168 Loss_G: 0.011813 Loss_D_real: -0.019040 Loss_D_fake 0.011128
[382/5000][420/535][39192] Loss_D: -0.030783 Loss_G: 0.018327 Loss_D_real: -0.029195 Loss_D_fake 0.001588
[382/5000][425/535][39193] Loss_D: -0.029644 Loss_G: 0.031396 Loss_D_real: -0.039393 Loss_D_fake -0.009749
[382/5000][430/535][39194] Loss_D: -0.029035 Loss_G: 0.023717 Loss_D_real: -0.022559 Loss_D_fake 0.006476
[382/5000][435/535][39195] Loss_D: -0.029680 Loss_G: 0.017269 Loss_D_real: -0.024725 Loss_D_fake 0.004955
[382/5000][440/535][39196] Loss_D: -0.030144 Loss_G: 0.010019 Loss_D_real: -0.016636 Loss_D_fake 0.013508
[382/5000][445/535][39197] Loss_D: -0.028204 Loss_G: 0.040940 Loss_D_real: -0.038931 Loss_D_fake -0.010727
[382/5000][450/535][39198] Loss_D: -0.028385 Loss_G: 0.012479 Loss_D_real: -0.019084 Loss_D_fake 0.009301
[382/5000][455/535][39199] Loss_D: -0.029269 Loss_G: 0.023274 Loss_D_real: -0.030739 Loss_D_fake -0.001470
[382/5000][460/535][39200] Loss_D: -0.027527 Loss_G: -0.011204 Loss_D_real: 0.000188 Loss_D_fake 0.027714
[382/5000][465/535][39201] Loss_D: -0.029516 Loss_G: 0.015594 Loss_D_real: -0.023353 Loss_D_fake 0.006163
[382/5000][470/535][39202] Loss_D: -0.030106 Loss_G: 0.019620 Loss_D_real: -0.023652 Loss_D_fake 0.006454
[382/5000][475/535][39203] Loss_D: -0.028003 Loss_G: 0.020063 Loss_D_real: -0.028475 Loss_D_fake -0.000472
[382/5000][480/535][39204] Loss_D: -0.029262 Loss_G: -0.004660 Loss_D_real: -0.001049 Loss_D_fake 0.028213
[382/5000][485/535][39205] Loss_D: -0.028973 Loss_G: 0.005602 Loss_D_real: -0.014653 Loss_D_fake 0.014319
[382/5000][490/535][39206] Loss_D: -0.029661 Loss_G: 0.014385 Loss_D_real: -0.020826 Loss_D_fake 0.008835
[382/5000][495/535][39207] Loss_D: -0.028475 Loss_G: -0.003420 Loss_D_real: -0.001850 Loss_D_fake 0.026625
[382/5000][500/535][39208] Loss_D: -0.028896 Loss_G: 0.013783 Loss_D_real: -0.035050 Loss_D_fake -0.006153
[382/5000][505/535][39209] Loss_D: -0.029925 Loss_G: 0.001554 Loss_D_real: -0.012406 Loss_D_fake 0.017519
[382/5000][510/535][39210] Loss_D: -0.028686 Loss_G: -0.002597 Loss_D_real: -0.001626 Loss_D_fake 0.027061
[382/5000][515/535][39211] Loss_D: -0.029728 Loss_G: 0.022376 Loss_D_real: -0.027156 Loss_D_fake 0.002572
[382/5000][520/535][39212] Loss_D: -0.029634 Loss_G: 0.004322 Loss_D_real: -0.014872 Loss_D_fake 0.014762
[382/5000][525/535][39213] Loss_D: -0.029981 Loss_G: 0.016884 Loss_D_real: -0.019820 Loss_D_fake 0.010160
[382/5000][530/535][39214] Loss_D: -0.030409 Loss_G: 0.010962 Loss_D_real: -0.012175 Loss_D_fake 0.018234
[382/5000][535/535][39215] Loss_D: -0.031409 Loss_G: 0.002898 Loss_D_real: -0.014247 Loss_D_fake 0.017162
[383/5000][5/535][39216] Loss_D: -0.030433 Loss_G: 0.018188 Loss_D_real: -0.017400 Loss_D_fake 0.013033
[383/5000][10/535][39217] Loss_D: -0.028300 Loss_G: 0.023263 Loss_D_real: -0.033289 Loss_D_fake -0.004990
[383/5000][15/535][39218] Loss_D: -0.029352 Loss_G: 0.025355 Loss_D_real: -0.025395 Loss_D_fake 0.003957
[383/5000][20/535][39219] Loss_D: -0.028698 Loss_G: -0.004734 Loss_D_real: -0.007254 Loss_D_fake 0.021444
[383/5000][25/535][39220] Loss_D: -0.029810 Loss_G: 0.015356 Loss_D_real: -0.019392 Loss_D_fake 0.010418
[383/5000][30/535][39221] Loss_D: -0.030040 Loss_G: 0.013754 Loss_D_real: -0.012736 Loss_D_fake 0.017305
[383/5000][35/535][39222] Loss_D: -0.029362 Loss_G: -0.004555 Loss_D_real: -0.005386 Loss_D_fake 0.023976
[383/5000][40/535][39223] Loss_D: -0.029811 Loss_G: 0.020803 Loss_D_real: -0.024174 Loss_D_fake 0.005636
[383/5000][45/535][39224] Loss_D: -0.028815 Loss_G: 0.017342 Loss_D_real: -0.022903 Loss_D_fake 0.005913
[383/5000][50/535][39225] Loss_D: -0.028413 Loss_G: 0.039227 Loss_D_real: -0.031229 Loss_D_fake -0.002816
[383/5000][55/535][39226] Loss_D: -0.028685 Loss_G: 0.006324 Loss_D_real: -0.013430 Loss_D_fake 0.015255
[383/5000][60/535][39227] Loss_D: -0.029538 Loss_G: 0.017242 Loss_D_real: -0.028463 Loss_D_fake 0.001075
[383/5000][65/535][39228] Loss_D: -0.030184 Loss_G: 0.006816 Loss_D_real: -0.001963 Loss_D_fake 0.028221
[383/5000][70/535][39229] Loss_D: -0.027891 Loss_G: 0.005711 Loss_D_real: -0.014741 Loss_D_fake 0.013150
[383/5000][75/535][39230] Loss_D: -0.028320 Loss_G: -0.006087 Loss_D_real: -0.003214 Loss_D_fake 0.025106
[383/5000][80/535][39231] Loss_D: -0.028588 Loss_G: 0.014623 Loss_D_real: -0.011633 Loss_D_fake 0.016955
[383/5000][85/535][39232] Loss_D: -0.029818 Loss_G: 0.026505 Loss_D_real: -0.037741 Loss_D_fake -0.007922
[383/5000][90/535][39233] Loss_D: -0.030524 Loss_G: 0.005733 Loss_D_real: -0.007995 Loss_D_fake 0.022529
[383/5000][95/535][39234] Loss_D: -0.028367 Loss_G: 0.019031 Loss_D_real: -0.025990 Loss_D_fake 0.002376
[383/5000][100/535][39235] Loss_D: -0.029828 Loss_G: 0.031437 Loss_D_real: -0.035827 Loss_D_fake -0.005999
[383/5000][105/535][39236] Loss_D: -0.027806 Loss_G: 0.026167 Loss_D_real: -0.030500 Loss_D_fake -0.002694
[383/5000][110/535][39237] Loss_D: -0.028909 Loss_G: -0.002217 Loss_D_real: -0.006352 Loss_D_fake 0.022558
[383/5000][115/535][39238] Loss_D: -0.029864 Loss_G: 0.011037 Loss_D_real: -0.028885 Loss_D_fake 0.000979
[383/5000][120/535][39239] Loss_D: -0.028026 Loss_G: 0.032248 Loss_D_real: -0.029822 Loss_D_fake -0.001795
[383/5000][125/535][39240] Loss_D: -0.030224 Loss_G: 0.012691 Loss_D_real: -0.016244 Loss_D_fake 0.013980
[383/5000][130/535][39241] Loss_D: -0.028761 Loss_G: 0.009166 Loss_D_real: -0.015941 Loss_D_fake 0.012821
[383/5000][135/535][39242] Loss_D: -0.029111 Loss_G: 0.028341 Loss_D_real: -0.035409 Loss_D_fake -0.006298
[383/5000][140/535][39243] Loss_D: -0.027872 Loss_G: -0.009040 Loss_D_real: 0.002766 Loss_D_fake 0.030638
[383/5000][145/535][39244] Loss_D: -0.027547 Loss_G: 0.007086 Loss_D_real: -0.002314 Loss_D_fake 0.025233
[383/5000][150/535][39245] Loss_D: -0.028825 Loss_G: 0.005693 Loss_D_real: -0.015289 Loss_D_fake 0.013536
[383/5000][155/535][39246] Loss_D: -0.028317 Loss_G: 0.011445 Loss_D_real: -0.027329 Loss_D_fake 0.000988
[383/5000][160/535][39247] Loss_D: -0.029754 Loss_G: 0.022773 Loss_D_real: -0.022286 Loss_D_fake 0.007468
[383/5000][165/535][39248] Loss_D: -0.027806 Loss_G: -0.000029 Loss_D_real: 0.000737 Loss_D_fake 0.028543
[383/5000][170/535][39249] Loss_D: -0.028151 Loss_G: 0.028281 Loss_D_real: -0.025124 Loss_D_fake 0.003027
[383/5000][175/535][39250] Loss_D: -0.028371 Loss_G: 0.014413 Loss_D_real: -0.022984 Loss_D_fake 0.005387
[383/5000][180/535][39251] Loss_D: -0.029050 Loss_G: 0.035754 Loss_D_real: -0.033204 Loss_D_fake -0.004153
[383/5000][185/535][39252] Loss_D: -0.029208 Loss_G: -0.009286 Loss_D_real: -0.004525 Loss_D_fake 0.024683
[383/5000][190/535][39253] Loss_D: -0.028673 Loss_G: 0.012451 Loss_D_real: -0.022813 Loss_D_fake 0.005860
[383/5000][195/535][39254] Loss_D: -0.027520 Loss_G: 0.040851 Loss_D_real: -0.037149 Loss_D_fake -0.009629
[383/5000][200/535][39255] Loss_D: -0.028790 Loss_G: 0.008265 Loss_D_real: -0.019509 Loss_D_fake 0.009281
[383/5000][205/535][39256] Loss_D: -0.028852 Loss_G: 0.029709 Loss_D_real: -0.030691 Loss_D_fake -0.001839
[383/5000][210/535][39257] Loss_D: -0.028758 Loss_G: 0.011252 Loss_D_real: -0.013779 Loss_D_fake 0.014979
[383/5000][215/535][39258] Loss_D: -0.030096 Loss_G: 0.009323 Loss_D_real: -0.020518 Loss_D_fake 0.009578
[383/5000][220/535][39259] Loss_D: -0.028910 Loss_G: 0.006517 Loss_D_real: -0.012619 Loss_D_fake 0.016291
[383/5000][225/535][39260] Loss_D: -0.028398 Loss_G: 0.016431 Loss_D_real: -0.016036 Loss_D_fake 0.012362
[383/5000][230/535][39261] Loss_D: -0.030431 Loss_G: 0.002687 Loss_D_real: -0.020582 Loss_D_fake 0.009848
[383/5000][235/535][39262] Loss_D: -0.028377 Loss_G: 0.006569 Loss_D_real: -0.016664 Loss_D_fake 0.011713
[383/5000][240/535][39263] Loss_D: -0.030245 Loss_G: 0.012693 Loss_D_real: -0.011676 Loss_D_fake 0.018569
[383/5000][245/535][39264] Loss_D: -0.030324 Loss_G: 0.009916 Loss_D_real: -0.020360 Loss_D_fake 0.009964
[383/5000][250/535][39265] Loss_D: -0.030791 Loss_G: -0.000978 Loss_D_real: -0.011904 Loss_D_fake 0.018887
[383/5000][255/535][39266] Loss_D: -0.029501 Loss_G: 0.026538 Loss_D_real: -0.030269 Loss_D_fake -0.000768
[383/5000][260/535][39267] Loss_D: -0.028704 Loss_G: 0.030967 Loss_D_real: -0.029181 Loss_D_fake -0.000477
[383/5000][265/535][39268] Loss_D: -0.028508 Loss_G: -0.012052 Loss_D_real: -0.005865 Loss_D_fake 0.022643
[383/5000][270/535][39269] Loss_D: -0.028889 Loss_G: 0.034084 Loss_D_real: -0.036163 Loss_D_fake -0.007273
[383/5000][275/535][39270] Loss_D: -0.030171 Loss_G: 0.004928 Loss_D_real: -0.012839 Loss_D_fake 0.017332
[383/5000][280/535][39271] Loss_D: -0.028189 Loss_G: -0.003211 Loss_D_real: 0.000727 Loss_D_fake 0.028917
[383/5000][285/535][39272] Loss_D: -0.028765 Loss_G: 0.022438 Loss_D_real: -0.032620 Loss_D_fake -0.003855
[383/5000][290/535][39273] Loss_D: -0.028987 Loss_G: 0.024449 Loss_D_real: -0.022959 Loss_D_fake 0.006028
[383/5000][295/535][39274] Loss_D: -0.030315 Loss_G: 0.013088 Loss_D_real: -0.023538 Loss_D_fake 0.006777
[383/5000][300/535][39275] Loss_D: -0.029637 Loss_G: 0.005843 Loss_D_real: -0.021357 Loss_D_fake 0.008280
[383/5000][305/535][39276] Loss_D: -0.028751 Loss_G: 0.004750 Loss_D_real: -0.009791 Loss_D_fake 0.018960
[383/5000][310/535][39277] Loss_D: -0.028263 Loss_G: 0.028620 Loss_D_real: -0.039200 Loss_D_fake -0.010937
[383/5000][315/535][39278] Loss_D: -0.029837 Loss_G: 0.000011 Loss_D_real: -0.008885 Loss_D_fake 0.020952
[383/5000][320/535][39279] Loss_D: -0.027440 Loss_G: 0.033848 Loss_D_real: -0.037555 Loss_D_fake -0.010115
[383/5000][325/535][39280] Loss_D: -0.029078 Loss_G: 0.008222 Loss_D_real: -0.014168 Loss_D_fake 0.014910
[383/5000][330/535][39281] Loss_D: -0.028655 Loss_G: -0.005090 Loss_D_real: -0.012195 Loss_D_fake 0.016460
[383/5000][335/535][39282] Loss_D: -0.026726 Loss_G: 0.042134 Loss_D_real: -0.038632 Loss_D_fake -0.011905
[383/5000][340/535][39283] Loss_D: -0.028794 Loss_G: -0.005702 Loss_D_real: -0.003119 Loss_D_fake 0.025674
[383/5000][345/535][39284] Loss_D: -0.028718 Loss_G: 0.025253 Loss_D_real: -0.025426 Loss_D_fake 0.003291
[383/5000][350/535][39285] Loss_D: -0.029787 Loss_G: 0.011600 Loss_D_real: -0.014150 Loss_D_fake 0.015636
[383/5000][355/535][39286] Loss_D: -0.029981 Loss_G: 0.023121 Loss_D_real: -0.027289 Loss_D_fake 0.002691
[383/5000][360/535][39287] Loss_D: -0.030153 Loss_G: 0.009522 Loss_D_real: -0.019187 Loss_D_fake 0.010966
[383/5000][365/535][39288] Loss_D: -0.030784 Loss_G: 0.020606 Loss_D_real: -0.038546 Loss_D_fake -0.007763
[383/5000][370/535][39289] Loss_D: -0.030208 Loss_G: 0.019582 Loss_D_real: -0.016672 Loss_D_fake 0.013536
[383/5000][375/535][39290] Loss_D: -0.028686 Loss_G: 0.023839 Loss_D_real: -0.024927 Loss_D_fake 0.003760
[383/5000][380/535][39291] Loss_D: -0.031436 Loss_G: -0.005812 Loss_D_real: -0.003397 Loss_D_fake 0.028039
[383/5000][385/535][39292] Loss_D: -0.029421 Loss_G: 0.017018 Loss_D_real: -0.019486 Loss_D_fake 0.009936
[383/5000][390/535][39293] Loss_D: -0.029485 Loss_G: 0.012475 Loss_D_real: -0.008737 Loss_D_fake 0.020748
[383/5000][395/535][39294] Loss_D: -0.029844 Loss_G: 0.002084 Loss_D_real: -0.012444 Loss_D_fake 0.017400
[383/5000][400/535][39295] Loss_D: -0.029497 Loss_G: 0.013033 Loss_D_real: -0.020009 Loss_D_fake 0.009488
[383/5000][405/535][39296] Loss_D: -0.028244 Loss_G: 0.033395 Loss_D_real: -0.034309 Loss_D_fake -0.006065
[383/5000][410/535][39297] Loss_D: -0.029047 Loss_G: 0.002622 Loss_D_real: -0.006844 Loss_D_fake 0.022202
[383/5000][415/535][39298] Loss_D: -0.027925 Loss_G: 0.033262 Loss_D_real: -0.027029 Loss_D_fake 0.000895
[383/5000][420/535][39299] Loss_D: -0.028615 Loss_G: 0.016254 Loss_D_real: -0.014280 Loss_D_fake 0.014335
[383/5000][425/535][39300] Loss_D: -0.027640 Loss_G: 0.040261 Loss_D_real: -0.031382 Loss_D_fake -0.003742
[383/5000][430/535][39301] Loss_D: -0.029705 Loss_G: 0.000755 Loss_D_real: -0.011599 Loss_D_fake 0.018107
[383/5000][435/535][39302] Loss_D: -0.026726 Loss_G: 0.027350 Loss_D_real: -0.028871 Loss_D_fake -0.002145
[383/5000][440/535][39303] Loss_D: -0.029583 Loss_G: 0.012757 Loss_D_real: -0.021856 Loss_D_fake 0.007727
[383/5000][445/535][39304] Loss_D: -0.029194 Loss_G: 0.023479 Loss_D_real: -0.025640 Loss_D_fake 0.003554
[383/5000][450/535][39305] Loss_D: -0.027906 Loss_G: 0.026642 Loss_D_real: -0.034383 Loss_D_fake -0.006477
[383/5000][455/535][39306] Loss_D: -0.029108 Loss_G: 0.025386 Loss_D_real: -0.019625 Loss_D_fake 0.009483
[383/5000][460/535][39307] Loss_D: -0.028627 Loss_G: 0.030707 Loss_D_real: -0.025028 Loss_D_fake 0.003598
[383/5000][465/535][39308] Loss_D: -0.028458 Loss_G: 0.003831 Loss_D_real: -0.011102 Loss_D_fake 0.017356
[383/5000][470/535][39309] Loss_D: -0.030345 Loss_G: 0.010794 Loss_D_real: -0.018864 Loss_D_fake 0.011482
[383/5000][475/535][39310] Loss_D: -0.029677 Loss_G: 0.022413 Loss_D_real: -0.030916 Loss_D_fake -0.001239
[383/5000][480/535][39311] Loss_D: -0.028585 Loss_G: 0.013351 Loss_D_real: -0.022902 Loss_D_fake 0.005683
[383/5000][485/535][39312] Loss_D: -0.029728 Loss_G: 0.010492 Loss_D_real: -0.018853 Loss_D_fake 0.010875
[383/5000][490/535][39313] Loss_D: -0.028646 Loss_G: 0.001663 Loss_D_real: -0.012326 Loss_D_fake 0.016320
[383/5000][495/535][39314] Loss_D: -0.027121 Loss_G: 0.007313 Loss_D_real: -0.011569 Loss_D_fake 0.015552
[383/5000][500/535][39315] Loss_D: -0.026341 Loss_G: 0.033516 Loss_D_real: -0.036892 Loss_D_fake -0.010551
[383/5000][505/535][39316] Loss_D: -0.028291 Loss_G: 0.001084 Loss_D_real: -0.012842 Loss_D_fake 0.015449
[383/5000][510/535][39317] Loss_D: -0.028034 Loss_G: 0.019868 Loss_D_real: -0.019710 Loss_D_fake 0.008324
[383/5000][515/535][39318] Loss_D: -0.028632 Loss_G: 0.032737 Loss_D_real: -0.041057 Loss_D_fake -0.012425
[383/5000][520/535][39319] Loss_D: -0.029775 Loss_G: -0.014551 Loss_D_real: -0.003930 Loss_D_fake 0.025845
[383/5000][525/535][39320] Loss_D: -0.027148 Loss_G: 0.024308 Loss_D_real: -0.031166 Loss_D_fake -0.004018
[383/5000][530/535][39321] Loss_D: -0.029489 Loss_G: 0.008377 Loss_D_real: -0.014466 Loss_D_fake 0.015023
[383/5000][535/535][39322] Loss_D: -0.027337 Loss_G: 0.031057 Loss_D_real: -0.019731 Loss_D_fake 0.007606
[384/5000][5/535][39323] Loss_D: -0.032482 Loss_G: 0.002752 Loss_D_real: -0.008312 Loss_D_fake 0.024170
[384/5000][10/535][39324] Loss_D: -0.030945 Loss_G: 0.014012 Loss_D_real: -0.022160 Loss_D_fake 0.008784
[384/5000][15/535][39325] Loss_D: -0.031097 Loss_G: 0.006647 Loss_D_real: -0.014377 Loss_D_fake 0.016720
[384/5000][20/535][39326] Loss_D: -0.028233 Loss_G: 0.041278 Loss_D_real: -0.031576 Loss_D_fake -0.003343
[384/5000][25/535][39327] Loss_D: -0.028360 Loss_G: 0.008586 Loss_D_real: -0.007536 Loss_D_fake 0.020825
[384/5000][30/535][39328] Loss_D: -0.029833 Loss_G: 0.014795 Loss_D_real: -0.016764 Loss_D_fake 0.013069
[384/5000][35/535][39329] Loss_D: -0.029480 Loss_G: 0.003337 Loss_D_real: -0.006974 Loss_D_fake 0.022507
[384/5000][40/535][39330] Loss_D: -0.029391 Loss_G: -0.008863 Loss_D_real: -0.003455 Loss_D_fake 0.025936
[384/5000][45/535][39331] Loss_D: -0.029519 Loss_G: 0.024551 Loss_D_real: -0.025399 Loss_D_fake 0.004121
[384/5000][50/535][39332] Loss_D: -0.029841 Loss_G: 0.016600 Loss_D_real: -0.012464 Loss_D_fake 0.017378
[384/5000][55/535][39333] Loss_D: -0.028313 Loss_G: -0.010561 Loss_D_real: -0.002079 Loss_D_fake 0.026234
[384/5000][60/535][39334] Loss_D: -0.029471 Loss_G: 0.022654 Loss_D_real: -0.026397 Loss_D_fake 0.003074
[384/5000][65/535][39335] Loss_D: -0.030644 Loss_G: 0.016919 Loss_D_real: -0.021936 Loss_D_fake 0.008709
[384/5000][70/535][39336] Loss_D: -0.029769 Loss_G: -0.014833 Loss_D_real: -0.001245 Loss_D_fake 0.028524
[384/5000][75/535][39337] Loss_D: -0.029265 Loss_G: 0.018952 Loss_D_real: -0.021870 Loss_D_fake 0.007395
[384/5000][80/535][39338] Loss_D: -0.028974 Loss_G: -0.001249 Loss_D_real: -0.010882 Loss_D_fake 0.018092
[384/5000][85/535][39339] Loss_D: -0.030096 Loss_G: 0.015580 Loss_D_real: -0.020706 Loss_D_fake 0.009390
[384/5000][90/535][39340] Loss_D: -0.029544 Loss_G: 0.002645 Loss_D_real: -0.015702 Loss_D_fake 0.013842
[384/5000][95/535][39341] Loss_D: -0.028998 Loss_G: 0.031176 Loss_D_real: -0.031281 Loss_D_fake -0.002283
[384/5000][100/535][39342] Loss_D: -0.029436 Loss_G: 0.004304 Loss_D_real: -0.012598 Loss_D_fake 0.016837
[384/5000][105/535][39343] Loss_D: -0.028752 Loss_G: 0.018185 Loss_D_real: -0.029634 Loss_D_fake -0.000882
[384/5000][110/535][39344] Loss_D: -0.029145 Loss_G: 0.032398 Loss_D_real: -0.037572 Loss_D_fake -0.008428
[384/5000][115/535][39345] Loss_D: -0.028575 Loss_G: 0.024463 Loss_D_real: -0.021884 Loss_D_fake 0.006691
[384/5000][120/535][39346] Loss_D: -0.028757 Loss_G: 0.029241 Loss_D_real: -0.030009 Loss_D_fake -0.001252
[384/5000][125/535][39347] Loss_D: -0.028998 Loss_G: 0.020522 Loss_D_real: -0.027505 Loss_D_fake 0.001494
[384/5000][130/535][39348] Loss_D: -0.031059 Loss_G: -0.009698 Loss_D_real: -0.008430 Loss_D_fake 0.022629
[384/5000][135/535][39349] Loss_D: -0.030490 Loss_G: 0.022874 Loss_D_real: -0.028621 Loss_D_fake 0.001869
[384/5000][140/535][39350] Loss_D: -0.030976 Loss_G: 0.031856 Loss_D_real: -0.022364 Loss_D_fake 0.008612
[384/5000][145/535][39351] Loss_D: -0.030357 Loss_G: 0.008811 Loss_D_real: -0.011723 Loss_D_fake 0.018634
[384/5000][150/535][39352] Loss_D: -0.029861 Loss_G: 0.008217 Loss_D_real: -0.021658 Loss_D_fake 0.008203
[384/5000][155/535][39353] Loss_D: -0.030701 Loss_G: 0.026210 Loss_D_real: -0.032669 Loss_D_fake -0.001968
[384/5000][160/535][39354] Loss_D: -0.029878 Loss_G: 0.018015 Loss_D_real: -0.020734 Loss_D_fake 0.009144
[384/5000][165/535][39355] Loss_D: -0.029519 Loss_G: 0.031192 Loss_D_real: -0.032874 Loss_D_fake -0.003354
[384/5000][170/535][39356] Loss_D: -0.030010 Loss_G: 0.002674 Loss_D_real: -0.012287 Loss_D_fake 0.017724
[384/5000][175/535][39357] Loss_D: -0.027990 Loss_G: 0.021779 Loss_D_real: -0.015680 Loss_D_fake 0.012310
[384/5000][180/535][39358] Loss_D: -0.029345 Loss_G: 0.004652 Loss_D_real: -0.011657 Loss_D_fake 0.017687
[384/5000][185/535][39359] Loss_D: -0.028320 Loss_G: 0.007123 Loss_D_real: -0.013503 Loss_D_fake 0.014817
[384/5000][190/535][39360] Loss_D: -0.030288 Loss_G: 0.010927 Loss_D_real: -0.022119 Loss_D_fake 0.008169
[384/5000][195/535][39361] Loss_D: -0.029409 Loss_G: 0.000521 Loss_D_real: -0.001516 Loss_D_fake 0.027893
[384/5000][200/535][39362] Loss_D: -0.028747 Loss_G: 0.025995 Loss_D_real: -0.028418 Loss_D_fake 0.000329
[384/5000][205/535][39363] Loss_D: -0.030018 Loss_G: 0.030546 Loss_D_real: -0.030574 Loss_D_fake -0.000556
[384/5000][210/535][39364] Loss_D: -0.026895 Loss_G: 0.025201 Loss_D_real: -0.024242 Loss_D_fake 0.002653
[384/5000][215/535][39365] Loss_D: -0.028709 Loss_G: 0.012942 Loss_D_real: -0.011883 Loss_D_fake 0.016826
[384/5000][220/535][39366] Loss_D: -0.027903 Loss_G: 0.006937 Loss_D_real: -0.020800 Loss_D_fake 0.007103
[384/5000][225/535][39367] Loss_D: -0.028205 Loss_G: 0.032103 Loss_D_real: -0.023546 Loss_D_fake 0.004658
[384/5000][230/535][39368] Loss_D: -0.028201 Loss_G: -0.000860 Loss_D_real: -0.018056 Loss_D_fake 0.010145
[384/5000][235/535][39369] Loss_D: -0.029762 Loss_G: 0.005347 Loss_D_real: -0.023955 Loss_D_fake 0.005807
[384/5000][240/535][39370] Loss_D: -0.028562 Loss_G: 0.031864 Loss_D_real: -0.026774 Loss_D_fake 0.001788
[384/5000][245/535][39371] Loss_D: -0.028868 Loss_G: 0.011091 Loss_D_real: -0.016389 Loss_D_fake 0.012479
[384/5000][250/535][39372] Loss_D: -0.029624 Loss_G: 0.014053 Loss_D_real: -0.022664 Loss_D_fake 0.006960
[384/5000][255/535][39373] Loss_D: -0.029991 Loss_G: 0.001340 Loss_D_real: -0.014907 Loss_D_fake 0.015084
[384/5000][260/535][39374] Loss_D: -0.027708 Loss_G: -0.008007 Loss_D_real: -0.003365 Loss_D_fake 0.024343
[384/5000][265/535][39375] Loss_D: -0.028337 Loss_G: 0.021775 Loss_D_real: -0.029061 Loss_D_fake -0.000724
[384/5000][270/535][39376] Loss_D: -0.028375 Loss_G: 0.013996 Loss_D_real: -0.025828 Loss_D_fake 0.002546
[384/5000][275/535][39377] Loss_D: -0.028293 Loss_G: 0.038371 Loss_D_real: -0.037179 Loss_D_fake -0.008885
[384/5000][280/535][39378] Loss_D: -0.027595 Loss_G: 0.003797 Loss_D_real: -0.003809 Loss_D_fake 0.023786
[384/5000][285/535][39379] Loss_D: -0.030464 Loss_G: 0.015560 Loss_D_real: -0.023114 Loss_D_fake 0.007351
[384/5000][290/535][39380] Loss_D: -0.029901 Loss_G: 0.022809 Loss_D_real: -0.024143 Loss_D_fake 0.005758
[384/5000][295/535][39381] Loss_D: -0.030712 Loss_G: 0.016998 Loss_D_real: -0.026462 Loss_D_fake 0.004250
[384/5000][300/535][39382] Loss_D: -0.030583 Loss_G: -0.005394 Loss_D_real: -0.008241 Loss_D_fake 0.022342
[384/5000][305/535][39383] Loss_D: -0.029162 Loss_G: 0.033929 Loss_D_real: -0.024827 Loss_D_fake 0.004336
[384/5000][310/535][39384] Loss_D: -0.030446 Loss_G: 0.010820 Loss_D_real: -0.019475 Loss_D_fake 0.010971
[384/5000][315/535][39385] Loss_D: -0.029538 Loss_G: 0.006459 Loss_D_real: -0.012535 Loss_D_fake 0.017003
[384/5000][320/535][39386] Loss_D: -0.029190 Loss_G: 0.012134 Loss_D_real: -0.014989 Loss_D_fake 0.014202
[384/5000][325/535][39387] Loss_D: -0.029521 Loss_G: 0.002705 Loss_D_real: -0.004249 Loss_D_fake 0.025272
[384/5000][330/535][39388] Loss_D: -0.028779 Loss_G: 0.039299 Loss_D_real: -0.039599 Loss_D_fake -0.010820
[384/5000][335/535][39389] Loss_D: -0.028045 Loss_G: -0.000341 Loss_D_real: 0.000714 Loss_D_fake 0.028759
[384/5000][340/535][39390] Loss_D: -0.029738 Loss_G: 0.019010 Loss_D_real: -0.024589 Loss_D_fake 0.005150
[384/5000][345/535][39391] Loss_D: -0.028253 Loss_G: 0.021450 Loss_D_real: -0.020870 Loss_D_fake 0.007383
[384/5000][350/535][39392] Loss_D: -0.029003 Loss_G: -0.003753 Loss_D_real: -0.002640 Loss_D_fake 0.026363
[384/5000][355/535][39393] Loss_D: -0.028574 Loss_G: -0.014796 Loss_D_real: -0.000986 Loss_D_fake 0.027588
[384/5000][360/535][39394] Loss_D: -0.028114 Loss_G: 0.031618 Loss_D_real: -0.032982 Loss_D_fake -0.004867
[384/5000][365/535][39395] Loss_D: -0.028829 Loss_G: 0.013483 Loss_D_real: -0.025141 Loss_D_fake 0.003688
[384/5000][370/535][39396] Loss_D: -0.029235 Loss_G: -0.008861 Loss_D_real: -0.004531 Loss_D_fake 0.024704
[384/5000][375/535][39397] Loss_D: -0.029301 Loss_G: 0.012547 Loss_D_real: -0.016916 Loss_D_fake 0.012385
[384/5000][380/535][39398] Loss_D: -0.029534 Loss_G: 0.004705 Loss_D_real: -0.014649 Loss_D_fake 0.014885
[384/5000][385/535][39399] Loss_D: -0.028055 Loss_G: 0.017864 Loss_D_real: -0.018125 Loss_D_fake 0.009930
[384/5000][390/535][39400] Loss_D: -0.031236 Loss_G: 0.016569 Loss_D_real: -0.018326 Loss_D_fake 0.012910
[384/5000][395/535][39401] Loss_D: -0.028836 Loss_G: 0.019626 Loss_D_real: -0.025944 Loss_D_fake 0.002892
[384/5000][400/535][39402] Loss_D: -0.029684 Loss_G: 0.024587 Loss_D_real: -0.025346 Loss_D_fake 0.004338
[384/5000][405/535][39403] Loss_D: -0.029718 Loss_G: -0.009815 Loss_D_real: 0.003943 Loss_D_fake 0.033661
[384/5000][410/535][39404] Loss_D: -0.027558 Loss_G: 0.021921 Loss_D_real: -0.028299 Loss_D_fake -0.000741
[384/5000][415/535][39405] Loss_D: -0.029944 Loss_G: 0.032400 Loss_D_real: -0.033333 Loss_D_fake -0.003389
[384/5000][420/535][39406] Loss_D: -0.028260 Loss_G: 0.008377 Loss_D_real: -0.014154 Loss_D_fake 0.014106
[384/5000][425/535][39407] Loss_D: -0.027023 Loss_G: 0.035080 Loss_D_real: -0.030461 Loss_D_fake -0.003438
[384/5000][430/535][39408] Loss_D: -0.028568 Loss_G: 0.017016 Loss_D_real: -0.016153 Loss_D_fake 0.012415
[384/5000][435/535][39409] Loss_D: -0.028062 Loss_G: 0.008678 Loss_D_real: -0.023349 Loss_D_fake 0.004713
[384/5000][440/535][39410] Loss_D: -0.029224 Loss_G: 0.023876 Loss_D_real: -0.025915 Loss_D_fake 0.003308
[384/5000][445/535][39411] Loss_D: -0.030650 Loss_G: 0.015334 Loss_D_real: -0.030809 Loss_D_fake -0.000159
[384/5000][450/535][39412] Loss_D: -0.029960 Loss_G: 0.011904 Loss_D_real: -0.015031 Loss_D_fake 0.014929
[384/5000][455/535][39413] Loss_D: -0.028380 Loss_G: 0.032889 Loss_D_real: -0.030165 Loss_D_fake -0.001785
[384/5000][460/535][39414] Loss_D: -0.030601 Loss_G: 0.019675 Loss_D_real: -0.030507 Loss_D_fake 0.000094
[384/5000][465/535][39415] Loss_D: -0.030961 Loss_G: 0.018467 Loss_D_real: -0.015097 Loss_D_fake 0.015864
[384/5000][470/535][39416] Loss_D: -0.029467 Loss_G: 0.019267 Loss_D_real: -0.021316 Loss_D_fake 0.008151
[384/5000][475/535][39417] Loss_D: -0.028217 Loss_G: 0.021893 Loss_D_real: -0.031273 Loss_D_fake -0.003056
[384/5000][480/535][39418] Loss_D: -0.030132 Loss_G: 0.003754 Loss_D_real: -0.015823 Loss_D_fake 0.014309
[384/5000][485/535][39419] Loss_D: -0.029471 Loss_G: 0.022216 Loss_D_real: -0.022717 Loss_D_fake 0.006754
[384/5000][490/535][39420] Loss_D: -0.028945 Loss_G: 0.027278 Loss_D_real: -0.030417 Loss_D_fake -0.001472
[384/5000][495/535][39421] Loss_D: -0.029704 Loss_G: 0.004230 Loss_D_real: -0.008287 Loss_D_fake 0.021417
[384/5000][500/535][39422] Loss_D: -0.029453 Loss_G: 0.032435 Loss_D_real: -0.029187 Loss_D_fake 0.000266
[384/5000][505/535][39423] Loss_D: -0.029115 Loss_G: 0.006501 Loss_D_real: -0.011161 Loss_D_fake 0.017954
[384/5000][510/535][39424] Loss_D: -0.028990 Loss_G: -0.001056 Loss_D_real: -0.003388 Loss_D_fake 0.025602
[384/5000][515/535][39425] Loss_D: -0.028697 Loss_G: 0.023999 Loss_D_real: -0.022085 Loss_D_fake 0.006612
[384/5000][520/535][39426] Loss_D: -0.028731 Loss_G: 0.004206 Loss_D_real: -0.010086 Loss_D_fake 0.018645
[384/5000][525/535][39427] Loss_D: -0.028004 Loss_G: 0.016475 Loss_D_real: -0.021312 Loss_D_fake 0.006692
[384/5000][530/535][39428] Loss_D: -0.029718 Loss_G: 0.003438 Loss_D_real: -0.009299 Loss_D_fake 0.020419
[384/5000][535/535][39429] Loss_D: -0.025546 Loss_G: 0.008966 Loss_D_real: -0.036544 Loss_D_fake -0.010997
[385/5000][5/535][39430] Loss_D: -0.031298 Loss_G: 0.025090 Loss_D_real: -0.033045 Loss_D_fake -0.001747
[385/5000][10/535][39431] Loss_D: -0.026662 Loss_G: 0.042725 Loss_D_real: -0.040581 Loss_D_fake -0.013919
[385/5000][15/535][39432] Loss_D: -0.029027 Loss_G: 0.003108 Loss_D_real: -0.005080 Loss_D_fake 0.023948
[385/5000][20/535][39433] Loss_D: -0.029516 Loss_G: 0.016454 Loss_D_real: -0.023757 Loss_D_fake 0.005758
[385/5000][25/535][39434] Loss_D: -0.029388 Loss_G: 0.000480 Loss_D_real: -0.010934 Loss_D_fake 0.018454
[385/5000][30/535][39435] Loss_D: -0.029165 Loss_G: -0.003703 Loss_D_real: -0.014871 Loss_D_fake 0.014294
[385/5000][35/535][39436] Loss_D: -0.029013 Loss_G: -0.004114 Loss_D_real: -0.014433 Loss_D_fake 0.014580
[385/5000][40/535][39437] Loss_D: -0.029392 Loss_G: 0.022324 Loss_D_real: -0.031418 Loss_D_fake -0.002026
[385/5000][45/535][39438] Loss_D: -0.030287 Loss_G: -0.008366 Loss_D_real: -0.004187 Loss_D_fake 0.026100
[385/5000][50/535][39439] Loss_D: -0.029296 Loss_G: 0.025929 Loss_D_real: -0.020998 Loss_D_fake 0.008299
[385/5000][55/535][39440] Loss_D: -0.029346 Loss_G: 0.010245 Loss_D_real: -0.012134 Loss_D_fake 0.017212
[385/5000][60/535][39441] Loss_D: -0.027894 Loss_G: 0.007368 Loss_D_real: -0.017999 Loss_D_fake 0.009896
[385/5000][65/535][39442] Loss_D: -0.028728 Loss_G: -0.004280 Loss_D_real: 0.008914 Loss_D_fake 0.037642
[385/5000][70/535][39443] Loss_D: -0.028369 Loss_G: 0.029704 Loss_D_real: -0.030714 Loss_D_fake -0.002345
[385/5000][75/535][39444] Loss_D: -0.030777 Loss_G: 0.006999 Loss_D_real: -0.020403 Loss_D_fake 0.010374
[385/5000][80/535][39445] Loss_D: -0.026723 Loss_G: 0.030173 Loss_D_real: -0.037769 Loss_D_fake -0.011046
[385/5000][85/535][39446] Loss_D: -0.030933 Loss_G: 0.020968 Loss_D_real: -0.022046 Loss_D_fake 0.008887
[385/5000][90/535][39447] Loss_D: -0.030647 Loss_G: 0.021581 Loss_D_real: -0.024298 Loss_D_fake 0.006349
[385/5000][95/535][39448] Loss_D: -0.029945 Loss_G: 0.027264 Loss_D_real: -0.022142 Loss_D_fake 0.007803
[385/5000][100/535][39449] Loss_D: -0.029002 Loss_G: 0.004171 Loss_D_real: -0.013279 Loss_D_fake 0.015723
[385/5000][105/535][39450] Loss_D: -0.027812 Loss_G: 0.002093 Loss_D_real: -0.011211 Loss_D_fake 0.016601
[385/5000][110/535][39451] Loss_D: -0.029821 Loss_G: 0.019082 Loss_D_real: -0.021513 Loss_D_fake 0.008307
[385/5000][115/535][39452] Loss_D: -0.029544 Loss_G: 0.003622 Loss_D_real: -0.015518 Loss_D_fake 0.014026
[385/5000][120/535][39453] Loss_D: -0.028801 Loss_G: 0.008373 Loss_D_real: -0.024188 Loss_D_fake 0.004613
[385/5000][125/535][39454] Loss_D: -0.029367 Loss_G: 0.013006 Loss_D_real: -0.021468 Loss_D_fake 0.007899
[385/5000][130/535][39455] Loss_D: -0.030122 Loss_G: 0.021898 Loss_D_real: -0.030375 Loss_D_fake -0.000253
[385/5000][135/535][39456] Loss_D: -0.029353 Loss_G: 0.011054 Loss_D_real: -0.015091 Loss_D_fake 0.014263
[385/5000][140/535][39457] Loss_D: -0.029013 Loss_G: 0.001484 Loss_D_real: -0.010415 Loss_D_fake 0.018598
[385/5000][145/535][39458] Loss_D: -0.028172 Loss_G: 0.024378 Loss_D_real: -0.023276 Loss_D_fake 0.004896
[385/5000][150/535][39459] Loss_D: -0.029904 Loss_G: 0.007006 Loss_D_real: -0.021325 Loss_D_fake 0.008579
[385/5000][155/535][39460] Loss_D: -0.030610 Loss_G: 0.016977 Loss_D_real: -0.021882 Loss_D_fake 0.008728
[385/5000][160/535][39461] Loss_D: -0.030061 Loss_G: 0.033054 Loss_D_real: -0.031783 Loss_D_fake -0.001722
[385/5000][165/535][39462] Loss_D: -0.030550 Loss_G: 0.004375 Loss_D_real: -0.020851 Loss_D_fake 0.009699
[385/5000][170/535][39463] Loss_D: -0.028595 Loss_G: 0.024239 Loss_D_real: -0.020401 Loss_D_fake 0.008194
[385/5000][175/535][39464] Loss_D: -0.028404 Loss_G: 0.011090 Loss_D_real: -0.016256 Loss_D_fake 0.012148
[385/5000][180/535][39465] Loss_D: -0.029841 Loss_G: 0.034704 Loss_D_real: -0.032017 Loss_D_fake -0.002176
[385/5000][185/535][39466] Loss_D: -0.028441 Loss_G: -0.022735 Loss_D_real: 0.002250 Loss_D_fake 0.030691
[385/5000][190/535][39467] Loss_D: -0.027598 Loss_G: 0.015468 Loss_D_real: -0.024151 Loss_D_fake 0.003447
[385/5000][195/535][39468] Loss_D: -0.030493 Loss_G: 0.028927 Loss_D_real: -0.036258 Loss_D_fake -0.005765
[385/5000][200/535][39469] Loss_D: -0.030382 Loss_G: 0.005815 Loss_D_real: -0.013540 Loss_D_fake 0.016842
[385/5000][205/535][39470] Loss_D: -0.029067 Loss_G: 0.011352 Loss_D_real: -0.026924 Loss_D_fake 0.002143
[385/5000][210/535][39471] Loss_D: -0.028677 Loss_G: 0.004763 Loss_D_real: -0.016651 Loss_D_fake 0.012026
[385/5000][215/535][39472] Loss_D: -0.027949 Loss_G: 0.029978 Loss_D_real: -0.036128 Loss_D_fake -0.008180
[385/5000][220/535][39473] Loss_D: -0.028104 Loss_G: 0.021764 Loss_D_real: -0.022857 Loss_D_fake 0.005247
[385/5000][225/535][39474] Loss_D: -0.029938 Loss_G: 0.018288 Loss_D_real: -0.028026 Loss_D_fake 0.001912
[385/5000][230/535][39475] Loss_D: -0.029352 Loss_G: 0.000286 Loss_D_real: -0.010187 Loss_D_fake 0.019165
[385/5000][235/535][39476] Loss_D: -0.029319 Loss_G: 0.015956 Loss_D_real: -0.026640 Loss_D_fake 0.002679
[385/5000][240/535][39477] Loss_D: -0.030325 Loss_G: 0.006027 Loss_D_real: -0.009115 Loss_D_fake 0.021209
[385/5000][245/535][39478] Loss_D: -0.029213 Loss_G: 0.026402 Loss_D_real: -0.029619 Loss_D_fake -0.000405
[385/5000][250/535][39479] Loss_D: -0.029926 Loss_G: 0.023647 Loss_D_real: -0.025197 Loss_D_fake 0.004728
[385/5000][255/535][39480] Loss_D: -0.028352 Loss_G: -0.013927 Loss_D_real: 0.002710 Loss_D_fake 0.031062
[385/5000][260/535][39481] Loss_D: -0.026959 Loss_G: -0.001143 Loss_D_real: -0.017850 Loss_D_fake 0.009109
[385/5000][265/535][39482] Loss_D: -0.028975 Loss_G: 0.022352 Loss_D_real: -0.029648 Loss_D_fake -0.000673
[385/5000][270/535][39483] Loss_D: -0.030688 Loss_G: 0.024719 Loss_D_real: -0.038447 Loss_D_fake -0.007759
[385/5000][275/535][39484] Loss_D: -0.029772 Loss_G: 0.012763 Loss_D_real: -0.017634 Loss_D_fake 0.012139
[385/5000][280/535][39485] Loss_D: -0.029508 Loss_G: 0.029245 Loss_D_real: -0.032223 Loss_D_fake -0.002715
[385/5000][285/535][39486] Loss_D: -0.029219 Loss_G: 0.007768 Loss_D_real: -0.018016 Loss_D_fake 0.011202
[385/5000][290/535][39487] Loss_D: -0.030663 Loss_G: 0.008075 Loss_D_real: -0.015434 Loss_D_fake 0.015229
[385/5000][295/535][39488] Loss_D: -0.029779 Loss_G: 0.014920 Loss_D_real: -0.021093 Loss_D_fake 0.008686
[385/5000][300/535][39489] Loss_D: -0.028051 Loss_G: 0.002608 Loss_D_real: -0.013649 Loss_D_fake 0.014401
[385/5000][305/535][39490] Loss_D: -0.029562 Loss_G: 0.007252 Loss_D_real: -0.016146 Loss_D_fake 0.013415
[385/5000][310/535][39491] Loss_D: -0.029050 Loss_G: 0.029251 Loss_D_real: -0.035733 Loss_D_fake -0.006683
[385/5000][315/535][39492] Loss_D: -0.030895 Loss_G: 0.010181 Loss_D_real: -0.008532 Loss_D_fake 0.022363
[385/5000][320/535][39493] Loss_D: -0.028906 Loss_G: 0.023782 Loss_D_real: -0.031724 Loss_D_fake -0.002818
[385/5000][325/535][39494] Loss_D: -0.029698 Loss_G: 0.011766 Loss_D_real: -0.015119 Loss_D_fake 0.014579
[385/5000][330/535][39495] Loss_D: -0.028171 Loss_G: 0.038126 Loss_D_real: -0.037731 Loss_D_fake -0.009560
[385/5000][335/535][39496] Loss_D: -0.029141 Loss_G: 0.021090 Loss_D_real: -0.024043 Loss_D_fake 0.005098
[385/5000][340/535][39497] Loss_D: -0.029948 Loss_G: -0.005635 Loss_D_real: -0.007408 Loss_D_fake 0.022539
[385/5000][345/535][39498] Loss_D: -0.031211 Loss_G: 0.025099 Loss_D_real: -0.020993 Loss_D_fake 0.010218
[385/5000][350/535][39499] Loss_D: -0.029831 Loss_G: 0.004422 Loss_D_real: -0.013726 Loss_D_fake 0.016105
[385/5000][355/535][39500] Loss_D: -0.029914 Loss_G: 0.022728 Loss_D_real: -0.025853 Loss_D_fake 0.004061
[385/5000][455/535][39501] Loss_D: -0.032248 Loss_G: 0.030557 Loss_D_real: -0.042825 Loss_D_fake -0.010577
[385/5000][460/535][39502] Loss_D: -0.027989 Loss_G: 0.016004 Loss_D_real: -0.014944 Loss_D_fake 0.013045
[385/5000][465/535][39503] Loss_D: -0.027413 Loss_G: 0.013351 Loss_D_real: -0.016468 Loss_D_fake 0.010945
[385/5000][470/535][39504] Loss_D: -0.027109 Loss_G: 0.007714 Loss_D_real: -0.018361 Loss_D_fake 0.008748
[385/5000][475/535][39505] Loss_D: -0.027075 Loss_G: 0.015821 Loss_D_real: -0.020801 Loss_D_fake 0.006274
[385/5000][480/535][39506] Loss_D: -0.027987 Loss_G: 0.011765 Loss_D_real: -0.015337 Loss_D_fake 0.012650
[385/5000][485/535][39507] Loss_D: -0.027785 Loss_G: 0.013140 Loss_D_real: -0.015010 Loss_D_fake 0.012775
[385/5000][490/535][39508] Loss_D: -0.028071 Loss_G: 0.007794 Loss_D_real: -0.020379 Loss_D_fake 0.007692
[385/5000][495/535][39509] Loss_D: -0.027761 Loss_G: 0.018279 Loss_D_real: -0.023218 Loss_D_fake 0.004544
[385/5000][500/535][39510] Loss_D: -0.028338 Loss_G: 0.008362 Loss_D_real: -0.020882 Loss_D_fake 0.007456
[385/5000][505/535][39511] Loss_D: -0.029681 Loss_G: 0.017769 Loss_D_real: -0.015697 Loss_D_fake 0.013984
[385/5000][510/535][39512] Loss_D: -0.029682 Loss_G: 0.007905 Loss_D_real: -0.014810 Loss_D_fake 0.014871
[385/5000][515/535][39513] Loss_D: -0.028191 Loss_G: 0.006136 Loss_D_real: -0.009015 Loss_D_fake 0.019176
[385/5000][520/535][39514] Loss_D: -0.029735 Loss_G: 0.018580 Loss_D_real: -0.030199 Loss_D_fake -0.000465
[385/5000][525/535][39515] Loss_D: -0.029341 Loss_G: 0.014043 Loss_D_real: -0.023510 Loss_D_fake 0.005830
[385/5000][530/535][39516] Loss_D: -0.028715 Loss_G: 0.025313 Loss_D_real: -0.027699 Loss_D_fake 0.001016
[385/5000][535/535][39517] Loss_D: -0.027104 Loss_G: 0.011692 Loss_D_real: -0.014291 Loss_D_fake 0.012813
[386/5000][5/535][39518] Loss_D: -0.030093 Loss_G: -0.000133 Loss_D_real: -0.013544 Loss_D_fake 0.016549
[386/5000][10/535][39519] Loss_D: -0.027803 Loss_G: 0.019020 Loss_D_real: -0.031321 Loss_D_fake -0.003518
[386/5000][15/535][39520] Loss_D: -0.028642 Loss_G: 0.012427 Loss_D_real: -0.025626 Loss_D_fake 0.003016
[386/5000][20/535][39521] Loss_D: -0.027949 Loss_G: 0.014169 Loss_D_real: -0.017000 Loss_D_fake 0.010949
[386/5000][25/535][39522] Loss_D: -0.028352 Loss_G: 0.025337 Loss_D_real: -0.021962 Loss_D_fake 0.006391
[386/5000][30/535][39523] Loss_D: -0.028738 Loss_G: 0.027193 Loss_D_real: -0.024857 Loss_D_fake 0.003880
[386/5000][35/535][39524] Loss_D: -0.028856 Loss_G: 0.012107 Loss_D_real: -0.029728 Loss_D_fake -0.000872
[386/5000][40/535][39525] Loss_D: -0.029172 Loss_G: 0.025595 Loss_D_real: -0.035202 Loss_D_fake -0.006031
[386/5000][45/535][39526] Loss_D: -0.028860 Loss_G: 0.014802 Loss_D_real: -0.015971 Loss_D_fake 0.012890
[386/5000][50/535][39527] Loss_D: -0.029495 Loss_G: 0.031597 Loss_D_real: -0.034635 Loss_D_fake -0.005140
[386/5000][55/535][39528] Loss_D: -0.030429 Loss_G: 0.033332 Loss_D_real: -0.027848 Loss_D_fake 0.002581
[386/5000][60/535][39529] Loss_D: -0.029686 Loss_G: -0.003690 Loss_D_real: -0.003839 Loss_D_fake 0.025847
[386/5000][65/535][39530] Loss_D: -0.028676 Loss_G: 0.020433 Loss_D_real: -0.022297 Loss_D_fake 0.006378
[386/5000][70/535][39531] Loss_D: -0.030186 Loss_G: -0.005148 Loss_D_real: -0.006939 Loss_D_fake 0.023247
[386/5000][75/535][39532] Loss_D: -0.030442 Loss_G: 0.021320 Loss_D_real: -0.020897 Loss_D_fake 0.009545
[386/5000][80/535][39533] Loss_D: -0.028926 Loss_G: -0.022264 Loss_D_real: -0.003937 Loss_D_fake 0.024989
[386/5000][85/535][39534] Loss_D: -0.029144 Loss_G: 0.001781 Loss_D_real: -0.016307 Loss_D_fake 0.012837
[386/5000][90/535][39535] Loss_D: -0.027978 Loss_G: 0.016998 Loss_D_real: -0.019816 Loss_D_fake 0.008162
[386/5000][95/535][39536] Loss_D: -0.028939 Loss_G: 0.034848 Loss_D_real: -0.031790 Loss_D_fake -0.002852
[386/5000][100/535][39537] Loss_D: -0.028981 Loss_G: 0.019448 Loss_D_real: -0.027209 Loss_D_fake 0.001773
[386/5000][105/535][39538] Loss_D: -0.029037 Loss_G: 0.009406 Loss_D_real: -0.017231 Loss_D_fake 0.011805
[386/5000][110/535][39539] Loss_D: -0.030018 Loss_G: 0.002465 Loss_D_real: -0.009072 Loss_D_fake 0.020946
[386/5000][115/535][39540] Loss_D: -0.028937 Loss_G: 0.016297 Loss_D_real: -0.022473 Loss_D_fake 0.006464
[386/5000][120/535][39541] Loss_D: -0.028928 Loss_G: -0.010380 Loss_D_real: -0.005725 Loss_D_fake 0.023203
[386/5000][125/535][39542] Loss_D: -0.029100 Loss_G: 0.010622 Loss_D_real: -0.011166 Loss_D_fake 0.017934
[386/5000][130/535][39543] Loss_D: -0.026921 Loss_G: -0.013924 Loss_D_real: 0.002736 Loss_D_fake 0.029657
[386/5000][135/535][39544] Loss_D: -0.027644 Loss_G: 0.013932 Loss_D_real: -0.031645 Loss_D_fake -0.004001
[386/5000][140/535][39545] Loss_D: -0.029051 Loss_G: 0.019433 Loss_D_real: -0.019021 Loss_D_fake 0.010030
[386/5000][145/535][39546] Loss_D: -0.030361 Loss_G: 0.025740 Loss_D_real: -0.030076 Loss_D_fake 0.000284
[386/5000][150/535][39547] Loss_D: -0.027925 Loss_G: 0.035718 Loss_D_real: -0.046194 Loss_D_fake -0.018269
[386/5000][155/535][39548] Loss_D: -0.028945 Loss_G: 0.018162 Loss_D_real: -0.023601 Loss_D_fake 0.005344
[386/5000][160/535][39549] Loss_D: -0.027438 Loss_G: 0.033444 Loss_D_real: -0.037116 Loss_D_fake -0.009677
[386/5000][165/535][39550] Loss_D: -0.028945 Loss_G: 0.025381 Loss_D_real: -0.030616 Loss_D_fake -0.001671
[386/5000][170/535][39551] Loss_D: -0.029001 Loss_G: 0.009022 Loss_D_real: -0.016409 Loss_D_fake 0.012593
[386/5000][175/535][39552] Loss_D: -0.029567 Loss_G: 0.010898 Loss_D_real: -0.015135 Loss_D_fake 0.014432
[386/5000][180/535][39553] Loss_D: -0.029120 Loss_G: 0.009413 Loss_D_real: -0.017089 Loss_D_fake 0.012030
[386/5000][185/535][39554] Loss_D: -0.028564 Loss_G: 0.026488 Loss_D_real: -0.028806 Loss_D_fake -0.000242
[386/5000][190/535][39555] Loss_D: -0.028553 Loss_G: 0.029214 Loss_D_real: -0.032592 Loss_D_fake -0.004039
[386/5000][195/535][39556] Loss_D: -0.030379 Loss_G: 0.002059 Loss_D_real: -0.017667 Loss_D_fake 0.012712
[386/5000][200/535][39557] Loss_D: -0.028819 Loss_G: 0.009890 Loss_D_real: -0.013288 Loss_D_fake 0.015531
[386/5000][205/535][39558] Loss_D: -0.026067 Loss_G: 0.030691 Loss_D_real: -0.028416 Loss_D_fake -0.002349
[386/5000][210/535][39559] Loss_D: -0.029424 Loss_G: 0.007820 Loss_D_real: -0.017508 Loss_D_fake 0.011916
[386/5000][215/535][39560] Loss_D: -0.028434 Loss_G: 0.035585 Loss_D_real: -0.035463 Loss_D_fake -0.007030
[386/5000][220/535][39561] Loss_D: -0.029638 Loss_G: -0.000814 Loss_D_real: -0.006914 Loss_D_fake 0.022724
[386/5000][225/535][39562] Loss_D: -0.027492 Loss_G: 0.006685 Loss_D_real: -0.014890 Loss_D_fake 0.012602
[386/5000][230/535][39563] Loss_D: -0.028550 Loss_G: -0.002045 Loss_D_real: -0.010166 Loss_D_fake 0.018384
[386/5000][235/535][39564] Loss_D: -0.030294 Loss_G: 0.018612 Loss_D_real: -0.025325 Loss_D_fake 0.004969
[386/5000][240/535][39565] Loss_D: -0.031720 Loss_G: 0.028649 Loss_D_real: -0.023314 Loss_D_fake 0.008406
[386/5000][245/535][39566] Loss_D: -0.028060 Loss_G: -0.006241 Loss_D_real: -0.003981 Loss_D_fake 0.024080
[386/5000][250/535][39567] Loss_D: -0.029852 Loss_G: 0.021458 Loss_D_real: -0.022325 Loss_D_fake 0.007527
[386/5000][255/535][39568] Loss_D: -0.029021 Loss_G: 0.000247 Loss_D_real: -0.007455 Loss_D_fake 0.021567
[386/5000][260/535][39569] Loss_D: -0.029349 Loss_G: 0.027764 Loss_D_real: -0.028094 Loss_D_fake 0.001255
[386/5000][265/535][39570] Loss_D: -0.030001 Loss_G: 0.016526 Loss_D_real: -0.022107 Loss_D_fake 0.007893
[386/5000][270/535][39571] Loss_D: -0.030130 Loss_G: 0.025441 Loss_D_real: -0.027179 Loss_D_fake 0.002951
[386/5000][275/535][39572] Loss_D: -0.029797 Loss_G: 0.028365 Loss_D_real: -0.023250 Loss_D_fake 0.006547
[386/5000][280/535][39573] Loss_D: -0.029547 Loss_G: 0.017792 Loss_D_real: -0.025751 Loss_D_fake 0.003796
[386/5000][285/535][39574] Loss_D: -0.030261 Loss_G: 0.019312 Loss_D_real: -0.019570 Loss_D_fake 0.010691
[386/5000][290/535][39575] Loss_D: -0.030866 Loss_G: 0.018097 Loss_D_real: -0.023559 Loss_D_fake 0.007307
[386/5000][295/535][39576] Loss_D: -0.029717 Loss_G: 0.013972 Loss_D_real: -0.014642 Loss_D_fake 0.015075
[386/5000][300/535][39577] Loss_D: -0.029979 Loss_G: 0.011698 Loss_D_real: -0.020570 Loss_D_fake 0.009409
[386/5000][305/535][39578] Loss_D: -0.029582 Loss_G: 0.014684 Loss_D_real: -0.020982 Loss_D_fake 0.008600
[386/5000][310/535][39579] Loss_D: -0.029518 Loss_G: 0.020786 Loss_D_real: -0.024304 Loss_D_fake 0.005214
[386/5000][315/535][39580] Loss_D: -0.028770 Loss_G: -0.018307 Loss_D_real: 0.001697 Loss_D_fake 0.030467
[386/5000][320/535][39581] Loss_D: -0.029177 Loss_G: 0.025786 Loss_D_real: -0.029669 Loss_D_fake -0.000492
[386/5000][325/535][39582] Loss_D: -0.029859 Loss_G: 0.030724 Loss_D_real: -0.030609 Loss_D_fake -0.000750
[386/5000][330/535][39583] Loss_D: -0.030861 Loss_G: 0.012080 Loss_D_real: -0.019040 Loss_D_fake 0.011821
[386/5000][335/535][39584] Loss_D: -0.029279 Loss_G: 0.026220 Loss_D_real: -0.027090 Loss_D_fake 0.002189
[386/5000][340/535][39585] Loss_D: -0.029185 Loss_G: 0.023507 Loss_D_real: -0.034603 Loss_D_fake -0.005418
[386/5000][345/535][39586] Loss_D: -0.028049 Loss_G: 0.000112 Loss_D_real: -0.005112 Loss_D_fake 0.022937
[386/5000][350/535][39587] Loss_D: -0.029582 Loss_G: 0.011841 Loss_D_real: -0.013217 Loss_D_fake 0.016365
[386/5000][355/535][39588] Loss_D: -0.030477 Loss_G: -0.003054 Loss_D_real: -0.013814 Loss_D_fake 0.016663
[386/5000][360/535][39589] Loss_D: -0.028068 Loss_G: 0.035685 Loss_D_real: -0.037801 Loss_D_fake -0.009734
[386/5000][365/535][39590] Loss_D: -0.029075 Loss_G: 0.029910 Loss_D_real: -0.023230 Loss_D_fake 0.005845
[386/5000][370/535][39591] Loss_D: -0.028597 Loss_G: -0.010556 Loss_D_real: -0.003908 Loss_D_fake 0.024688
[386/5000][375/535][39592] Loss_D: -0.028316 Loss_G: -0.003408 Loss_D_real: -0.007914 Loss_D_fake 0.020402
[386/5000][380/535][39593] Loss_D: -0.028311 Loss_G: 0.017609 Loss_D_real: -0.018581 Loss_D_fake 0.009730
[386/5000][385/535][39594] Loss_D: -0.029657 Loss_G: 0.006896 Loss_D_real: -0.012646 Loss_D_fake 0.017011
[386/5000][390/535][39595] Loss_D: -0.028925 Loss_G: 0.023228 Loss_D_real: -0.028589 Loss_D_fake 0.000336
[386/5000][395/535][39596] Loss_D: -0.029823 Loss_G: 0.014607 Loss_D_real: -0.009222 Loss_D_fake 0.020601
[386/5000][400/535][39597] Loss_D: -0.028104 Loss_G: 0.023900 Loss_D_real: -0.031341 Loss_D_fake -0.003237
[386/5000][405/535][39598] Loss_D: -0.029712 Loss_G: 0.019971 Loss_D_real: -0.016911 Loss_D_fake 0.012801
[386/5000][410/535][39599] Loss_D: -0.030598 Loss_G: 0.016752 Loss_D_real: -0.013028 Loss_D_fake 0.017570
[386/5000][415/535][39600] Loss_D: -0.029829 Loss_G: -0.003968 Loss_D_real: -0.010156 Loss_D_fake 0.019673
[386/5000][420/535][39601] Loss_D: -0.030223 Loss_G: 0.036438 Loss_D_real: -0.023810 Loss_D_fake 0.006413
[386/5000][425/535][39602] Loss_D: -0.026938 Loss_G: 0.043307 Loss_D_real: -0.040139 Loss_D_fake -0.013201
[386/5000][430/535][39603] Loss_D: -0.028834 Loss_G: 0.021662 Loss_D_real: -0.018739 Loss_D_fake 0.010095
[386/5000][435/535][39604] Loss_D: -0.030929 Loss_G: -0.000892 Loss_D_real: -0.012350 Loss_D_fake 0.018579
[386/5000][440/535][39605] Loss_D: -0.030115 Loss_G: 0.013222 Loss_D_real: -0.029965 Loss_D_fake 0.000150
[386/5000][445/535][39606] Loss_D: -0.029647 Loss_G: 0.014363 Loss_D_real: -0.019636 Loss_D_fake 0.010011
[386/5000][450/535][39607] Loss_D: -0.029869 Loss_G: -0.007833 Loss_D_real: -0.001980 Loss_D_fake 0.027888
[386/5000][455/535][39608] Loss_D: -0.029229 Loss_G: 0.016481 Loss_D_real: -0.017924 Loss_D_fake 0.011305
[386/5000][460/535][39609] Loss_D: -0.028977 Loss_G: -0.004555 Loss_D_real: -0.015771 Loss_D_fake 0.013206
[386/5000][465/535][39610] Loss_D: -0.029019 Loss_G: 0.022419 Loss_D_real: -0.030712 Loss_D_fake -0.001693
[386/5000][470/535][39611] Loss_D: -0.028178 Loss_G: -0.003411 Loss_D_real: -0.008056 Loss_D_fake 0.020122
[386/5000][475/535][39612] Loss_D: -0.029876 Loss_G: 0.015872 Loss_D_real: -0.024583 Loss_D_fake 0.005293
[386/5000][480/535][39613] Loss_D: -0.029712 Loss_G: 0.026418 Loss_D_real: -0.022628 Loss_D_fake 0.007084
[386/5000][485/535][39614] Loss_D: -0.030247 Loss_G: 0.019347 Loss_D_real: -0.029764 Loss_D_fake 0.000484
[386/5000][490/535][39615] Loss_D: -0.029847 Loss_G: 0.012728 Loss_D_real: -0.013495 Loss_D_fake 0.016352
[386/5000][495/535][39616] Loss_D: -0.030009 Loss_G: 0.011151 Loss_D_real: -0.018696 Loss_D_fake 0.011313
[386/5000][500/535][39617] Loss_D: -0.028041 Loss_G: 0.027182 Loss_D_real: -0.032327 Loss_D_fake -0.004286
[386/5000][505/535][39618] Loss_D: -0.029701 Loss_G: 0.002778 Loss_D_real: -0.017766 Loss_D_fake 0.011935
[386/5000][510/535][39619] Loss_D: -0.027875 Loss_G: -0.003383 Loss_D_real: -0.003604 Loss_D_fake 0.024271
[386/5000][515/535][39620] Loss_D: -0.028665 Loss_G: 0.030693 Loss_D_real: -0.029025 Loss_D_fake -0.000360
[386/5000][520/535][39621] Loss_D: -0.028837 Loss_G: 0.026986 Loss_D_real: -0.028861 Loss_D_fake -0.000024
[386/5000][525/535][39622] Loss_D: -0.029545 Loss_G: 0.022394 Loss_D_real: -0.024285 Loss_D_fake 0.005259
[386/5000][530/535][39623] Loss_D: -0.029530 Loss_G: 0.004195 Loss_D_real: -0.021037 Loss_D_fake 0.008493
[386/5000][535/535][39624] Loss_D: -0.031392 Loss_G: 0.018482 Loss_D_real: -0.033218 Loss_D_fake -0.001826
[387/5000][5/535][39625] Loss_D: -0.028432 Loss_G: 0.009065 Loss_D_real: -0.003413 Loss_D_fake 0.025019
[387/5000][10/535][39626] Loss_D: -0.028069 Loss_G: 0.016560 Loss_D_real: -0.023663 Loss_D_fake 0.004407
[387/5000][15/535][39627] Loss_D: -0.027007 Loss_G: 0.031090 Loss_D_real: -0.040205 Loss_D_fake -0.013198
[387/5000][20/535][39628] Loss_D: -0.029577 Loss_G: 0.019448 Loss_D_real: -0.025259 Loss_D_fake 0.004318
[387/5000][25/535][39629] Loss_D: -0.028072 Loss_G: 0.026746 Loss_D_real: -0.028307 Loss_D_fake -0.000235
[387/5000][30/535][39630] Loss_D: -0.029342 Loss_G: 0.004606 Loss_D_real: -0.007475 Loss_D_fake 0.021867
[387/5000][35/535][39631] Loss_D: -0.029395 Loss_G: 0.018364 Loss_D_real: -0.018794 Loss_D_fake 0.010601
[387/5000][40/535][39632] Loss_D: -0.029420 Loss_G: -0.004431 Loss_D_real: -0.003642 Loss_D_fake 0.025778
[387/5000][45/535][39633] Loss_D: -0.028746 Loss_G: 0.029334 Loss_D_real: -0.037978 Loss_D_fake -0.009232
[387/5000][50/535][39634] Loss_D: -0.030531 Loss_G: 0.003525 Loss_D_real: -0.019076 Loss_D_fake 0.011455
[387/5000][55/535][39635] Loss_D: -0.028431 Loss_G: -0.005044 Loss_D_real: -0.001486 Loss_D_fake 0.026945
[387/5000][60/535][39636] Loss_D: -0.027878 Loss_G: 0.010099 Loss_D_real: -0.015715 Loss_D_fake 0.012163
[387/5000][65/535][39637] Loss_D: -0.028989 Loss_G: 0.019661 Loss_D_real: -0.024851 Loss_D_fake 0.004138
[387/5000][70/535][39638] Loss_D: -0.029983 Loss_G: 0.027004 Loss_D_real: -0.032921 Loss_D_fake -0.002938
[387/5000][75/535][39639] Loss_D: -0.029326 Loss_G: -0.002118 Loss_D_real: -0.010277 Loss_D_fake 0.019049
[387/5000][80/535][39640] Loss_D: -0.031016 Loss_G: 0.019566 Loss_D_real: -0.016612 Loss_D_fake 0.014403
[387/5000][85/535][39641] Loss_D: -0.029376 Loss_G: -0.003481 Loss_D_real: -0.007936 Loss_D_fake 0.021441
[387/5000][90/535][39642] Loss_D: -0.031156 Loss_G: 0.019970 Loss_D_real: -0.016925 Loss_D_fake 0.014231
[387/5000][95/535][39643] Loss_D: -0.029626 Loss_G: 0.032930 Loss_D_real: -0.029347 Loss_D_fake 0.000279
[387/5000][100/535][39644] Loss_D: -0.030190 Loss_G: 0.002629 Loss_D_real: -0.014993 Loss_D_fake 0.015197
[387/5000][105/535][39645] Loss_D: -0.031031 Loss_G: 0.029623 Loss_D_real: -0.030946 Loss_D_fake 0.000085
[387/5000][110/535][39646] Loss_D: -0.030884 Loss_G: 0.022952 Loss_D_real: -0.015759 Loss_D_fake 0.015125
[387/5000][115/535][39647] Loss_D: -0.029194 Loss_G: 0.016018 Loss_D_real: -0.022653 Loss_D_fake 0.006541
[387/5000][120/535][39648] Loss_D: -0.028365 Loss_G: 0.027391 Loss_D_real: -0.036754 Loss_D_fake -0.008389
[387/5000][125/535][39649] Loss_D: -0.030147 Loss_G: 0.011025 Loss_D_real: -0.015675 Loss_D_fake 0.014472
[387/5000][130/535][39650] Loss_D: -0.030175 Loss_G: 0.018003 Loss_D_real: -0.019462 Loss_D_fake 0.010713
[387/5000][135/535][39651] Loss_D: -0.027701 Loss_G: 0.013362 Loss_D_real: -0.012083 Loss_D_fake 0.015618
[387/5000][140/535][39652] Loss_D: -0.029235 Loss_G: 0.013215 Loss_D_real: -0.021472 Loss_D_fake 0.007762
[387/5000][145/535][39653] Loss_D: -0.030273 Loss_G: 0.015611 Loss_D_real: -0.025007 Loss_D_fake 0.005266
[387/5000][150/535][39654] Loss_D: -0.029626 Loss_G: 0.010551 Loss_D_real: -0.029065 Loss_D_fake 0.000561
[387/5000][155/535][39655] Loss_D: -0.029147 Loss_G: 0.006554 Loss_D_real: -0.018796 Loss_D_fake 0.010351
[387/5000][160/535][39656] Loss_D: -0.030044 Loss_G: 0.022793 Loss_D_real: -0.019666 Loss_D_fake 0.010378
[387/5000][165/535][39657] Loss_D: -0.029272 Loss_G: -0.003928 Loss_D_real: -0.010242 Loss_D_fake 0.019030
[387/5000][170/535][39658] Loss_D: -0.028038 Loss_G: 0.008606 Loss_D_real: -0.017432 Loss_D_fake 0.010606
[387/5000][175/535][39659] Loss_D: -0.028418 Loss_G: 0.019388 Loss_D_real: -0.017692 Loss_D_fake 0.010727
[387/5000][180/535][39660] Loss_D: -0.029581 Loss_G: 0.029380 Loss_D_real: -0.036356 Loss_D_fake -0.006775
[387/5000][185/535][39661] Loss_D: -0.030457 Loss_G: 0.014648 Loss_D_real: -0.013864 Loss_D_fake 0.016592
[387/5000][190/535][39662] Loss_D: -0.029862 Loss_G: 0.030867 Loss_D_real: -0.033332 Loss_D_fake -0.003470
[387/5000][195/535][39663] Loss_D: -0.029766 Loss_G: 0.006729 Loss_D_real: -0.016294 Loss_D_fake 0.013471
[387/5000][200/535][39664] Loss_D: -0.027314 Loss_G: 0.020705 Loss_D_real: -0.021312 Loss_D_fake 0.006002
[387/5000][205/535][39665] Loss_D: -0.029514 Loss_G: 0.006725 Loss_D_real: -0.008011 Loss_D_fake 0.021503
[387/5000][210/535][39666] Loss_D: -0.027447 Loss_G: 0.027362 Loss_D_real: -0.036449 Loss_D_fake -0.009002
[387/5000][215/535][39667] Loss_D: -0.027275 Loss_G: 0.041410 Loss_D_real: -0.035354 Loss_D_fake -0.008080
[387/5000][220/535][39668] Loss_D: -0.029983 Loss_G: 0.005543 Loss_D_real: -0.012815 Loss_D_fake 0.017168
[387/5000][225/535][39669] Loss_D: -0.027814 Loss_G: 0.029885 Loss_D_real: -0.033406 Loss_D_fake -0.005592
[387/5000][230/535][39670] Loss_D: -0.029354 Loss_G: 0.000106 Loss_D_real: -0.006481 Loss_D_fake 0.022873
[387/5000][235/535][39671] Loss_D: -0.028721 Loss_G: 0.001071 Loss_D_real: -0.017718 Loss_D_fake 0.011002
[387/5000][240/535][39672] Loss_D: -0.030626 Loss_G: 0.009519 Loss_D_real: -0.024635 Loss_D_fake 0.005990
[387/5000][245/535][39673] Loss_D: -0.031173 Loss_G: 0.014825 Loss_D_real: -0.016275 Loss_D_fake 0.014897
[387/5000][250/535][39674] Loss_D: -0.029341 Loss_G: 0.028879 Loss_D_real: -0.023748 Loss_D_fake 0.005593
[387/5000][255/535][39675] Loss_D: -0.029786 Loss_G: 0.007917 Loss_D_real: -0.010117 Loss_D_fake 0.019670
[387/5000][260/535][39676] Loss_D: -0.029374 Loss_G: 0.012535 Loss_D_real: -0.009325 Loss_D_fake 0.020049
[387/5000][265/535][39677] Loss_D: -0.028960 Loss_G: 0.012653 Loss_D_real: -0.020317 Loss_D_fake 0.008643
[387/5000][270/535][39678] Loss_D: -0.029425 Loss_G: 0.004546 Loss_D_real: -0.014317 Loss_D_fake 0.015109
[387/5000][275/535][39679] Loss_D: -0.028158 Loss_G: -0.007267 Loss_D_real: -0.014495 Loss_D_fake 0.013663
[387/5000][280/535][39680] Loss_D: -0.029825 Loss_G: 0.026845 Loss_D_real: -0.024193 Loss_D_fake 0.005632
[387/5000][285/535][39681] Loss_D: -0.028232 Loss_G: 0.024345 Loss_D_real: -0.033322 Loss_D_fake -0.005090
[387/5000][290/535][39682] Loss_D: -0.029223 Loss_G: 0.018034 Loss_D_real: -0.020133 Loss_D_fake 0.009090
[387/5000][295/535][39683] Loss_D: -0.029646 Loss_G: 0.033790 Loss_D_real: -0.026577 Loss_D_fake 0.003070
[387/5000][300/535][39684] Loss_D: -0.028043 Loss_G: 0.025415 Loss_D_real: -0.023142 Loss_D_fake 0.004901
[387/5000][305/535][39685] Loss_D: -0.030570 Loss_G: 0.016939 Loss_D_real: -0.024324 Loss_D_fake 0.006246
[387/5000][310/535][39686] Loss_D: -0.029275 Loss_G: 0.008317 Loss_D_real: -0.018424 Loss_D_fake 0.010851
[387/5000][315/535][39687] Loss_D: -0.028191 Loss_G: -0.007638 Loss_D_real: 0.000756 Loss_D_fake 0.028947
[387/5000][320/535][39688] Loss_D: -0.028768 Loss_G: 0.010564 Loss_D_real: -0.017670 Loss_D_fake 0.011098
[387/5000][325/535][39689] Loss_D: -0.027268 Loss_G: 0.019906 Loss_D_real: -0.027853 Loss_D_fake -0.000584
[387/5000][330/535][39690] Loss_D: -0.029916 Loss_G: 0.024998 Loss_D_real: -0.033066 Loss_D_fake -0.003150
[387/5000][335/535][39691] Loss_D: -0.030939 Loss_G: 0.024303 Loss_D_real: -0.029113 Loss_D_fake 0.001825
[387/5000][340/535][39692] Loss_D: -0.027965 Loss_G: 0.044757 Loss_D_real: -0.041243 Loss_D_fake -0.013278
[387/5000][345/535][39693] Loss_D: -0.028958 Loss_G: 0.009105 Loss_D_real: -0.018326 Loss_D_fake 0.010632
[387/5000][350/535][39694] Loss_D: -0.029817 Loss_G: 0.024482 Loss_D_real: -0.026048 Loss_D_fake 0.003769
[387/5000][355/535][39695] Loss_D: -0.029340 Loss_G: 0.029914 Loss_D_real: -0.033835 Loss_D_fake -0.004496
[387/5000][360/535][39696] Loss_D: -0.029955 Loss_G: 0.019991 Loss_D_real: -0.022965 Loss_D_fake 0.006990
[387/5000][365/535][39697] Loss_D: -0.028778 Loss_G: 0.021023 Loss_D_real: -0.024734 Loss_D_fake 0.004044
[387/5000][370/535][39698] Loss_D: -0.029809 Loss_G: 0.024379 Loss_D_real: -0.024660 Loss_D_fake 0.005149
[387/5000][375/535][39699] Loss_D: -0.028842 Loss_G: 0.008850 Loss_D_real: -0.011330 Loss_D_fake 0.017512
[387/5000][380/535][39700] Loss_D: -0.028516 Loss_G: 0.031094 Loss_D_real: -0.021893 Loss_D_fake 0.006623
[387/5000][385/535][39701] Loss_D: -0.029721 Loss_G: 0.015963 Loss_D_real: -0.022342 Loss_D_fake 0.007379
[387/5000][390/535][39702] Loss_D: -0.028968 Loss_G: 0.032519 Loss_D_real: -0.035650 Loss_D_fake -0.006682
[387/5000][395/535][39703] Loss_D: -0.029745 Loss_G: 0.015022 Loss_D_real: -0.014279 Loss_D_fake 0.015466
[387/5000][400/535][39704] Loss_D: -0.030685 Loss_G: 0.006896 Loss_D_real: -0.011666 Loss_D_fake 0.019019
[387/5000][405/535][39705] Loss_D: -0.029439 Loss_G: 0.022856 Loss_D_real: -0.026047 Loss_D_fake 0.003392
[387/5000][410/535][39706] Loss_D: -0.029940 Loss_G: 0.015492 Loss_D_real: -0.007063 Loss_D_fake 0.022877
[387/5000][415/535][39707] Loss_D: -0.028936 Loss_G: -0.009201 Loss_D_real: -0.008963 Loss_D_fake 0.019973
[387/5000][420/535][39708] Loss_D: -0.027073 Loss_G: 0.028137 Loss_D_real: -0.032547 Loss_D_fake -0.005474
[387/5000][425/535][39709] Loss_D: -0.029692 Loss_G: 0.025387 Loss_D_real: -0.023330 Loss_D_fake 0.006363
[387/5000][430/535][39710] Loss_D: -0.030239 Loss_G: -0.009811 Loss_D_real: 0.000168 Loss_D_fake 0.030406
[387/5000][435/535][39711] Loss_D: -0.030183 Loss_G: 0.019401 Loss_D_real: -0.022090 Loss_D_fake 0.008093
[387/5000][440/535][39712] Loss_D: -0.030517 Loss_G: 0.021828 Loss_D_real: -0.025396 Loss_D_fake 0.005121
[387/5000][445/535][39713] Loss_D: -0.030021 Loss_G: 0.018469 Loss_D_real: -0.022170 Loss_D_fake 0.007851
[387/5000][450/535][39714] Loss_D: -0.030333 Loss_G: 0.000298 Loss_D_real: -0.014094 Loss_D_fake 0.016239
[387/5000][455/535][39715] Loss_D: -0.029015 Loss_G: 0.005841 Loss_D_real: -0.016020 Loss_D_fake 0.012995
[387/5000][460/535][39716] Loss_D: -0.029809 Loss_G: 0.006263 Loss_D_real: -0.011129 Loss_D_fake 0.018680
[387/5000][465/535][39717] Loss_D: -0.029339 Loss_G: 0.015428 Loss_D_real: -0.015842 Loss_D_fake 0.013497
[387/5000][470/535][39718] Loss_D: -0.027178 Loss_G: 0.012850 Loss_D_real: -0.020125 Loss_D_fake 0.007053
[387/5000][475/535][39719] Loss_D: -0.029527 Loss_G: 0.032416 Loss_D_real: -0.022031 Loss_D_fake 0.007496
[387/5000][480/535][39720] Loss_D: -0.029385 Loss_G: 0.008316 Loss_D_real: -0.011323 Loss_D_fake 0.018062
[387/5000][485/535][39721] Loss_D: -0.028738 Loss_G: 0.000040 Loss_D_real: -0.008959 Loss_D_fake 0.019779
[387/5000][490/535][39722] Loss_D: -0.030258 Loss_G: 0.000225 Loss_D_real: -0.002590 Loss_D_fake 0.027668
[387/5000][495/535][39723] Loss_D: -0.028750 Loss_G: 0.012559 Loss_D_real: -0.020499 Loss_D_fake 0.008250
[387/5000][500/535][39724] Loss_D: -0.029311 Loss_G: 0.024285 Loss_D_real: -0.021313 Loss_D_fake 0.007998
[387/5000][505/535][39725] Loss_D: -0.029185 Loss_G: -0.006027 Loss_D_real: -0.002059 Loss_D_fake 0.027126
[387/5000][510/535][39726] Loss_D: -0.028312 Loss_G: 0.026534 Loss_D_real: -0.028408 Loss_D_fake -0.000097
[387/5000][515/535][39727] Loss_D: -0.029902 Loss_G: 0.021873 Loss_D_real: -0.021777 Loss_D_fake 0.008125
[387/5000][520/535][39728] Loss_D: -0.029327 Loss_G: 0.013913 Loss_D_real: -0.020157 Loss_D_fake 0.009170
[387/5000][525/535][39729] Loss_D: -0.029684 Loss_G: 0.003939 Loss_D_real: -0.014652 Loss_D_fake 0.015032
[387/5000][530/535][39730] Loss_D: -0.028595 Loss_G: -0.001092 Loss_D_real: -0.004648 Loss_D_fake 0.023947
[387/5000][535/535][39731] Loss_D: -0.029298 Loss_G: 0.034613 Loss_D_real: -0.021623 Loss_D_fake 0.007675
[388/5000][5/535][39732] Loss_D: -0.027811 Loss_G: -0.007304 Loss_D_real: -0.002974 Loss_D_fake 0.024838
[388/5000][10/535][39733] Loss_D: -0.027777 Loss_G: 0.028931 Loss_D_real: -0.032936 Loss_D_fake -0.005158
[388/5000][15/535][39734] Loss_D: -0.029294 Loss_G: -0.009617 Loss_D_real: -0.012686 Loss_D_fake 0.016608
[388/5000][20/535][39735] Loss_D: -0.030494 Loss_G: -0.001696 Loss_D_real: -0.015780 Loss_D_fake 0.014714
[388/5000][25/535][39736] Loss_D: -0.030359 Loss_G: 0.006029 Loss_D_real: -0.016596 Loss_D_fake 0.013763
[388/5000][30/535][39737] Loss_D: -0.030713 Loss_G: 0.031639 Loss_D_real: -0.028968 Loss_D_fake 0.001745
[388/5000][35/535][39738] Loss_D: -0.030231 Loss_G: 0.018884 Loss_D_real: -0.020272 Loss_D_fake 0.009959
[388/5000][40/535][39739] Loss_D: -0.029029 Loss_G: 0.014403 Loss_D_real: -0.012653 Loss_D_fake 0.016376
[388/5000][45/535][39740] Loss_D: -0.028849 Loss_G: 0.031303 Loss_D_real: -0.027523 Loss_D_fake 0.001326
[388/5000][50/535][39741] Loss_D: -0.028972 Loss_G: 0.001201 Loss_D_real: -0.008945 Loss_D_fake 0.020027
[388/5000][55/535][39742] Loss_D: -0.028847 Loss_G: 0.014287 Loss_D_real: -0.008630 Loss_D_fake 0.020217
[388/5000][60/535][39743] Loss_D: -0.029401 Loss_G: 0.000475 Loss_D_real: -0.015587 Loss_D_fake 0.013814
[388/5000][65/535][39744] Loss_D: -0.030160 Loss_G: 0.039785 Loss_D_real: -0.023358 Loss_D_fake 0.006801
[388/5000][70/535][39745] Loss_D: -0.029529 Loss_G: 0.030962 Loss_D_real: -0.029841 Loss_D_fake -0.000312
[388/5000][75/535][39746] Loss_D: -0.029256 Loss_G: 0.019124 Loss_D_real: -0.025299 Loss_D_fake 0.003958
[388/5000][80/535][39747] Loss_D: -0.028882 Loss_G: 0.035695 Loss_D_real: -0.024933 Loss_D_fake 0.003949
[388/5000][85/535][39748] Loss_D: -0.028471 Loss_G: -0.002239 Loss_D_real: -0.013098 Loss_D_fake 0.015372
[388/5000][90/535][39749] Loss_D: -0.029508 Loss_G: 0.018913 Loss_D_real: -0.028781 Loss_D_fake 0.000727
[388/5000][95/535][39750] Loss_D: -0.028790 Loss_G: 0.007879 Loss_D_real: -0.019408 Loss_D_fake 0.009381
[388/5000][100/535][39751] Loss_D: -0.028115 Loss_G: 0.033175 Loss_D_real: -0.024594 Loss_D_fake 0.003521
[388/5000][105/535][39752] Loss_D: -0.027858 Loss_G: -0.001256 Loss_D_real: -0.007804 Loss_D_fake 0.020054
[388/5000][110/535][39753] Loss_D: -0.028651 Loss_G: 0.018849 Loss_D_real: -0.019528 Loss_D_fake 0.009123
[388/5000][115/535][39754] Loss_D: -0.027569 Loss_G: 0.018251 Loss_D_real: -0.028277 Loss_D_fake -0.000708
[388/5000][120/535][39755] Loss_D: -0.029511 Loss_G: 0.028750 Loss_D_real: -0.022016 Loss_D_fake 0.007494
[388/5000][125/535][39756] Loss_D: -0.028929 Loss_G: 0.025308 Loss_D_real: -0.021533 Loss_D_fake 0.007395
[388/5000][130/535][39757] Loss_D: -0.030363 Loss_G: 0.011976 Loss_D_real: -0.024313 Loss_D_fake 0.006050
[388/5000][135/535][39758] Loss_D: -0.028108 Loss_G: 0.038078 Loss_D_real: -0.031009 Loss_D_fake -0.002901
[388/5000][140/535][39759] Loss_D: -0.029247 Loss_G: -0.003085 Loss_D_real: -0.005642 Loss_D_fake 0.023605
[388/5000][145/535][39760] Loss_D: -0.028047 Loss_G: 0.033416 Loss_D_real: -0.034850 Loss_D_fake -0.006802
[388/5000][150/535][39761] Loss_D: -0.029221 Loss_G: -0.002924 Loss_D_real: -0.009847 Loss_D_fake 0.019375
[388/5000][155/535][39762] Loss_D: -0.029136 Loss_G: 0.013906 Loss_D_real: -0.021852 Loss_D_fake 0.007284
[388/5000][160/535][39763] Loss_D: -0.029784 Loss_G: 0.023432 Loss_D_real: -0.023277 Loss_D_fake 0.006507
[388/5000][165/535][39764] Loss_D: -0.029399 Loss_G: 0.011404 Loss_D_real: -0.024882 Loss_D_fake 0.004517
[388/5000][170/535][39765] Loss_D: -0.029091 Loss_G: 0.040818 Loss_D_real: -0.038254 Loss_D_fake -0.009163
[388/5000][175/535][39766] Loss_D: -0.028870 Loss_G: -0.002598 Loss_D_real: 0.000510 Loss_D_fake 0.029380
[388/5000][180/535][39767] Loss_D: -0.028344 Loss_G: 0.017528 Loss_D_real: -0.025626 Loss_D_fake 0.002718
[388/5000][185/535][39768] Loss_D: -0.029753 Loss_G: 0.015417 Loss_D_real: -0.013113 Loss_D_fake 0.016639
[388/5000][190/535][39769] Loss_D: -0.029498 Loss_G: 0.022635 Loss_D_real: -0.031492 Loss_D_fake -0.001994
[388/5000][195/535][39770] Loss_D: -0.027883 Loss_G: 0.031258 Loss_D_real: -0.030829 Loss_D_fake -0.002946
[388/5000][200/535][39771] Loss_D: -0.028403 Loss_G: 0.034809 Loss_D_real: -0.038321 Loss_D_fake -0.009918
[388/5000][205/535][39772] Loss_D: -0.030631 Loss_G: -0.008332 Loss_D_real: -0.007629 Loss_D_fake 0.023002
[388/5000][210/535][39773] Loss_D: -0.029858 Loss_G: 0.019779 Loss_D_real: -0.034312 Loss_D_fake -0.004454
[388/5000][215/535][39774] Loss_D: -0.029486 Loss_G: 0.019410 Loss_D_real: -0.017833 Loss_D_fake 0.011653
[388/5000][220/535][39775] Loss_D: -0.031303 Loss_G: 0.024914 Loss_D_real: -0.022576 Loss_D_fake 0.008727
[388/5000][225/535][39776] Loss_D: -0.029581 Loss_G: 0.021803 Loss_D_real: -0.031920 Loss_D_fake -0.002339
[388/5000][230/535][39777] Loss_D: -0.030548 Loss_G: 0.009725 Loss_D_real: -0.021453 Loss_D_fake 0.009095
[388/5000][235/535][39778] Loss_D: -0.030056 Loss_G: 0.006171 Loss_D_real: -0.011447 Loss_D_fake 0.018609
[388/5000][240/535][39779] Loss_D: -0.028558 Loss_G: 0.006395 Loss_D_real: -0.012391 Loss_D_fake 0.016167
[388/5000][245/535][39780] Loss_D: -0.028535 Loss_G: 0.010559 Loss_D_real: -0.020189 Loss_D_fake 0.008346
[388/5000][250/535][39781] Loss_D: -0.030019 Loss_G: 0.008955 Loss_D_real: -0.015254 Loss_D_fake 0.014764
[388/5000][255/535][39782] Loss_D: -0.028619 Loss_G: 0.023670 Loss_D_real: -0.034932 Loss_D_fake -0.006313
[388/5000][260/535][39783] Loss_D: -0.030111 Loss_G: 0.025612 Loss_D_real: -0.024646 Loss_D_fake 0.005465
[388/5000][265/535][39784] Loss_D: -0.029399 Loss_G: -0.000076 Loss_D_real: -0.018260 Loss_D_fake 0.011138
[388/5000][270/535][39785] Loss_D: -0.027806 Loss_G: 0.031999 Loss_D_real: -0.034841 Loss_D_fake -0.007035
[388/5000][275/535][39786] Loss_D: -0.028568 Loss_G: 0.002361 Loss_D_real: -0.013227 Loss_D_fake 0.015340
[388/5000][280/535][39787] Loss_D: -0.028866 Loss_G: 0.020391 Loss_D_real: -0.019710 Loss_D_fake 0.009156
[388/5000][285/535][39788] Loss_D: -0.029625 Loss_G: 0.016762 Loss_D_real: -0.019351 Loss_D_fake 0.010273
[388/5000][290/535][39789] Loss_D: -0.028584 Loss_G: 0.000009 Loss_D_real: -0.014363 Loss_D_fake 0.014221
[388/5000][295/535][39790] Loss_D: -0.028565 Loss_G: 0.021114 Loss_D_real: -0.028904 Loss_D_fake -0.000339
[388/5000][300/535][39791] Loss_D: -0.029084 Loss_G: 0.011833 Loss_D_real: -0.014563 Loss_D_fake 0.014521
[388/5000][305/535][39792] Loss_D: -0.027459 Loss_G: 0.030481 Loss_D_real: -0.029546 Loss_D_fake -0.002087
[388/5000][310/535][39793] Loss_D: -0.028917 Loss_G: 0.005384 Loss_D_real: -0.011357 Loss_D_fake 0.017560
[388/5000][315/535][39794] Loss_D: -0.029018 Loss_G: 0.030390 Loss_D_real: -0.027739 Loss_D_fake 0.001278
[388/5000][320/535][39795] Loss_D: -0.030195 Loss_G: 0.002365 Loss_D_real: -0.002227 Loss_D_fake 0.027969
[388/5000][325/535][39796] Loss_D: -0.029649 Loss_G: 0.011464 Loss_D_real: -0.016133 Loss_D_fake 0.013516
[388/5000][330/535][39797] Loss_D: -0.028747 Loss_G: 0.017740 Loss_D_real: -0.026749 Loss_D_fake 0.001998
[388/5000][335/535][39798] Loss_D: -0.029802 Loss_G: -0.000286 Loss_D_real: -0.016376 Loss_D_fake 0.013426
[388/5000][340/535][39799] Loss_D: -0.029663 Loss_G: 0.012509 Loss_D_real: -0.015752 Loss_D_fake 0.013911
[388/5000][345/535][39800] Loss_D: -0.030453 Loss_G: 0.025251 Loss_D_real: -0.026231 Loss_D_fake 0.004222
[388/5000][350/535][39801] Loss_D: -0.028520 Loss_G: 0.015282 Loss_D_real: -0.024248 Loss_D_fake 0.004272
[388/5000][355/535][39802] Loss_D: -0.028656 Loss_G: 0.029111 Loss_D_real: -0.026092 Loss_D_fake 0.002564
[388/5000][360/535][39803] Loss_D: -0.029838 Loss_G: 0.007510 Loss_D_real: -0.013819 Loss_D_fake 0.016019
[388/5000][365/535][39804] Loss_D: -0.027333 Loss_G: 0.041209 Loss_D_real: -0.039509 Loss_D_fake -0.012176
[388/5000][370/535][39805] Loss_D: -0.030178 Loss_G: 0.025767 Loss_D_real: -0.017046 Loss_D_fake 0.013131
[388/5000][375/535][39806] Loss_D: -0.028865 Loss_G: -0.010246 Loss_D_real: -0.005724 Loss_D_fake 0.023141
[388/5000][380/535][39807] Loss_D: -0.028003 Loss_G: 0.026797 Loss_D_real: -0.025063 Loss_D_fake 0.002939
[388/5000][385/535][39808] Loss_D: -0.027400 Loss_G: 0.037284 Loss_D_real: -0.036899 Loss_D_fake -0.009499
[388/5000][390/535][39809] Loss_D: -0.028932 Loss_G: -0.010872 Loss_D_real: -0.005447 Loss_D_fake 0.023484
[388/5000][395/535][39810] Loss_D: -0.028584 Loss_G: 0.017106 Loss_D_real: -0.012355 Loss_D_fake 0.016229
[388/5000][400/535][39811] Loss_D: -0.029346 Loss_G: 0.013843 Loss_D_real: -0.015831 Loss_D_fake 0.013515
[388/5000][405/535][39812] Loss_D: -0.029044 Loss_G: -0.003797 Loss_D_real: -0.015278 Loss_D_fake 0.013767
[388/5000][410/535][39813] Loss_D: -0.028459 Loss_G: 0.034025 Loss_D_real: -0.028579 Loss_D_fake -0.000121
[388/5000][415/535][39814] Loss_D: -0.027850 Loss_G: -0.002301 Loss_D_real: -0.003861 Loss_D_fake 0.023990
[388/5000][420/535][39815] Loss_D: -0.029685 Loss_G: 0.022600 Loss_D_real: -0.023704 Loss_D_fake 0.005982
[388/5000][425/535][39816] Loss_D: -0.029730 Loss_G: -0.010069 Loss_D_real: -0.006972 Loss_D_fake 0.022759
[388/5000][430/535][39817] Loss_D: -0.030115 Loss_G: 0.019537 Loss_D_real: -0.018995 Loss_D_fake 0.011120
[388/5000][435/535][39818] Loss_D: -0.029408 Loss_G: 0.018291 Loss_D_real: -0.014510 Loss_D_fake 0.014898
[388/5000][440/535][39819] Loss_D: -0.029429 Loss_G: 0.028805 Loss_D_real: -0.025712 Loss_D_fake 0.003716
[388/5000][445/535][39820] Loss_D: -0.028958 Loss_G: 0.033002 Loss_D_real: -0.027445 Loss_D_fake 0.001513
[388/5000][450/535][39821] Loss_D: -0.025735 Loss_G: -0.011323 Loss_D_real: 0.001770 Loss_D_fake 0.027505
[388/5000][455/535][39822] Loss_D: -0.028706 Loss_G: -0.001229 Loss_D_real: -0.016969 Loss_D_fake 0.011737
[388/5000][460/535][39823] Loss_D: -0.029398 Loss_G: 0.016986 Loss_D_real: -0.018447 Loss_D_fake 0.010951
[388/5000][465/535][39824] Loss_D: -0.028413 Loss_G: 0.019047 Loss_D_real: -0.027084 Loss_D_fake 0.001328
[388/5000][470/535][39825] Loss_D: -0.029399 Loss_G: 0.007345 Loss_D_real: -0.017676 Loss_D_fake 0.011723
[388/5000][475/535][39826] Loss_D: -0.029568 Loss_G: 0.017472 Loss_D_real: -0.024526 Loss_D_fake 0.005042
[388/5000][480/535][39827] Loss_D: -0.028803 Loss_G: 0.039393 Loss_D_real: -0.033668 Loss_D_fake -0.004864
[388/5000][485/535][39828] Loss_D: -0.029396 Loss_G: 0.002562 Loss_D_real: -0.004753 Loss_D_fake 0.024643
[388/5000][490/535][39829] Loss_D: -0.028920 Loss_G: -0.002264 Loss_D_real: -0.010571 Loss_D_fake 0.018349
[388/5000][495/535][39830] Loss_D: -0.028582 Loss_G: 0.042551 Loss_D_real: -0.034690 Loss_D_fake -0.006108
[388/5000][500/535][39831] Loss_D: -0.028674 Loss_G: -0.004412 Loss_D_real: -0.002228 Loss_D_fake 0.026446
[388/5000][505/535][39832] Loss_D: -0.028420 Loss_G: 0.019277 Loss_D_real: -0.028407 Loss_D_fake 0.000013
[388/5000][510/535][39833] Loss_D: -0.029537 Loss_G: 0.011628 Loss_D_real: -0.012111 Loss_D_fake 0.017426
[388/5000][515/535][39834] Loss_D: -0.029000 Loss_G: 0.012211 Loss_D_real: -0.016412 Loss_D_fake 0.012589
[388/5000][520/535][39835] Loss_D: -0.030884 Loss_G: -0.003574 Loss_D_real: -0.013268 Loss_D_fake 0.017616
[388/5000][525/535][39836] Loss_D: -0.029134 Loss_G: 0.021058 Loss_D_real: -0.027199 Loss_D_fake 0.001935
[388/5000][530/535][39837] Loss_D: -0.028820 Loss_G: -0.006542 Loss_D_real: 0.006602 Loss_D_fake 0.035421
[388/5000][535/535][39838] Loss_D: -0.028930 Loss_G: -0.003583 Loss_D_real: -0.016824 Loss_D_fake 0.012105
[389/5000][5/535][39839] Loss_D: -0.028893 Loss_G: 0.025133 Loss_D_real: -0.027720 Loss_D_fake 0.001173
[389/5000][10/535][39840] Loss_D: -0.029323 Loss_G: 0.006077 Loss_D_real: -0.010127 Loss_D_fake 0.019196
[389/5000][15/535][39841] Loss_D: -0.028928 Loss_G: 0.020322 Loss_D_real: -0.023056 Loss_D_fake 0.005872
[389/5000][20/535][39842] Loss_D: -0.028819 Loss_G: 0.004286 Loss_D_real: -0.004671 Loss_D_fake 0.024148
[389/5000][25/535][39843] Loss_D: -0.029836 Loss_G: 0.028357 Loss_D_real: -0.029515 Loss_D_fake 0.000322
[389/5000][30/535][39844] Loss_D: -0.030165 Loss_G: -0.007698 Loss_D_real: -0.000645 Loss_D_fake 0.029520
[389/5000][35/535][39845] Loss_D: -0.028191 Loss_G: 0.025058 Loss_D_real: -0.027595 Loss_D_fake 0.000596
[389/5000][40/535][39846] Loss_D: -0.027950 Loss_G: 0.003879 Loss_D_real: -0.008250 Loss_D_fake 0.019700
[389/5000][45/535][39847] Loss_D: -0.029201 Loss_G: 0.011488 Loss_D_real: -0.017187 Loss_D_fake 0.012013
[389/5000][50/535][39848] Loss_D: -0.029664 Loss_G: 0.006700 Loss_D_real: -0.020076 Loss_D_fake 0.009588
[389/5000][55/535][39849] Loss_D: -0.028261 Loss_G: 0.011801 Loss_D_real: -0.022672 Loss_D_fake 0.005590
[389/5000][60/535][39850] Loss_D: -0.030637 Loss_G: 0.029966 Loss_D_real: -0.024514 Loss_D_fake 0.006123
[389/5000][65/535][39851] Loss_D: -0.030736 Loss_G: 0.027537 Loss_D_real: -0.028050 Loss_D_fake 0.002686
[389/5000][70/535][39852] Loss_D: -0.028882 Loss_G: -0.000577 Loss_D_real: -0.017556 Loss_D_fake 0.011326
[389/5000][75/535][39853] Loss_D: -0.030507 Loss_G: 0.022514 Loss_D_real: -0.021814 Loss_D_fake 0.008693
[389/5000][80/535][39854] Loss_D: -0.031341 Loss_G: 0.015843 Loss_D_real: -0.014217 Loss_D_fake 0.017124
[389/5000][85/535][39855] Loss_D: -0.029535 Loss_G: 0.021383 Loss_D_real: -0.020080 Loss_D_fake 0.009456
[389/5000][90/535][39856] Loss_D: -0.028236 Loss_G: 0.033782 Loss_D_real: -0.040371 Loss_D_fake -0.012135
[389/5000][95/535][39857] Loss_D: -0.028445 Loss_G: -0.003385 Loss_D_real: -0.010094 Loss_D_fake 0.018350
[389/5000][100/535][39858] Loss_D: -0.030421 Loss_G: 0.000634 Loss_D_real: -0.009640 Loss_D_fake 0.020780
[389/5000][105/535][39859] Loss_D: -0.029662 Loss_G: 0.021541 Loss_D_real: -0.023883 Loss_D_fake 0.005779
[389/5000][110/535][39860] Loss_D: -0.029756 Loss_G: 0.026329 Loss_D_real: -0.037306 Loss_D_fake -0.007550
[389/5000][115/535][39861] Loss_D: -0.029085 Loss_G: 0.032524 Loss_D_real: -0.023765 Loss_D_fake 0.005320
[389/5000][120/535][39862] Loss_D: -0.029669 Loss_G: -0.001756 Loss_D_real: -0.004774 Loss_D_fake 0.024895
[389/5000][125/535][39863] Loss_D: -0.028472 Loss_G: 0.013258 Loss_D_real: -0.018736 Loss_D_fake 0.009736
[389/5000][130/535][39864] Loss_D: -0.029810 Loss_G: 0.019059 Loss_D_real: -0.025529 Loss_D_fake 0.004282
[389/5000][135/535][39865] Loss_D: -0.030000 Loss_G: -0.003166 Loss_D_real: -0.011288 Loss_D_fake 0.018712
[389/5000][140/535][39866] Loss_D: -0.025961 Loss_G: 0.027984 Loss_D_real: -0.038487 Loss_D_fake -0.012526
[389/5000][145/535][39867] Loss_D: -0.029366 Loss_G: 0.010198 Loss_D_real: -0.014481 Loss_D_fake 0.014885
[389/5000][150/535][39868] Loss_D: -0.030711 Loss_G: 0.017987 Loss_D_real: -0.024346 Loss_D_fake 0.006365
[389/5000][155/535][39869] Loss_D: -0.029630 Loss_G: 0.020481 Loss_D_real: -0.018508 Loss_D_fake 0.011121
[389/5000][160/535][39870] Loss_D: -0.030411 Loss_G: -0.012252 Loss_D_real: -0.004754 Loss_D_fake 0.025657
[389/5000][165/535][39871] Loss_D: -0.028718 Loss_G: 0.006106 Loss_D_real: -0.017385 Loss_D_fake 0.011333
[389/5000][170/535][39872] Loss_D: -0.027707 Loss_G: -0.016550 Loss_D_real: -0.004334 Loss_D_fake 0.023373
[389/5000][175/535][39873] Loss_D: -0.025731 Loss_G: 0.038360 Loss_D_real: -0.032866 Loss_D_fake -0.007136
[389/5000][180/535][39874] Loss_D: -0.027737 Loss_G: 0.022540 Loss_D_real: -0.026870 Loss_D_fake 0.000867
[389/5000][185/535][39875] Loss_D: -0.029016 Loss_G: 0.024938 Loss_D_real: -0.023893 Loss_D_fake 0.005123
[389/5000][190/535][39876] Loss_D: -0.028749 Loss_G: 0.018170 Loss_D_real: -0.009704 Loss_D_fake 0.019045
[389/5000][195/535][39877] Loss_D: -0.030817 Loss_G: 0.003884 Loss_D_real: -0.019716 Loss_D_fake 0.011101
[389/5000][200/535][39878] Loss_D: -0.029071 Loss_G: 0.017548 Loss_D_real: -0.022181 Loss_D_fake 0.006890
[389/5000][205/535][39879] Loss_D: -0.028049 Loss_G: 0.024603 Loss_D_real: -0.023105 Loss_D_fake 0.004944
[389/5000][210/535][39880] Loss_D: -0.028734 Loss_G: -0.004585 Loss_D_real: -0.012205 Loss_D_fake 0.016528
[389/5000][215/535][39881] Loss_D: -0.029253 Loss_G: 0.010691 Loss_D_real: -0.022980 Loss_D_fake 0.006273
[389/5000][220/535][39882] Loss_D: -0.027721 Loss_G: -0.012746 Loss_D_real: -0.000678 Loss_D_fake 0.027043
[389/5000][225/535][39883] Loss_D: -0.028444 Loss_G: 0.014371 Loss_D_real: -0.011934 Loss_D_fake 0.016509
[389/5000][230/535][39884] Loss_D: -0.027432 Loss_G: 0.000679 Loss_D_real: -0.019680 Loss_D_fake 0.007752
[389/5000][235/535][39885] Loss_D: -0.027052 Loss_G: 0.026595 Loss_D_real: -0.025991 Loss_D_fake 0.001060
[389/5000][240/535][39886] Loss_D: -0.028660 Loss_G: -0.004523 Loss_D_real: -0.015117 Loss_D_fake 0.013543
[389/5000][245/535][39887] Loss_D: -0.029607 Loss_G: 0.018732 Loss_D_real: -0.023732 Loss_D_fake 0.005875
[389/5000][250/535][39888] Loss_D: -0.029042 Loss_G: 0.012257 Loss_D_real: -0.017475 Loss_D_fake 0.011568
[389/5000][255/535][39889] Loss_D: -0.027956 Loss_G: 0.028457 Loss_D_real: -0.036200 Loss_D_fake -0.008244
[389/5000][260/535][39890] Loss_D: -0.027996 Loss_G: 0.030547 Loss_D_real: -0.022474 Loss_D_fake 0.005522
[389/5000][265/535][39891] Loss_D: -0.029422 Loss_G: 0.008004 Loss_D_real: -0.009429 Loss_D_fake 0.019993
[389/5000][270/535][39892] Loss_D: -0.029728 Loss_G: 0.020218 Loss_D_real: -0.017294 Loss_D_fake 0.012434
[389/5000][275/535][39893] Loss_D: -0.028695 Loss_G: -0.008421 Loss_D_real: -0.005932 Loss_D_fake 0.022762
[389/5000][280/535][39894] Loss_D: -0.030277 Loss_G: 0.012150 Loss_D_real: -0.014397 Loss_D_fake 0.015880
[389/5000][285/535][39895] Loss_D: -0.029909 Loss_G: -0.004668 Loss_D_real: -0.002644 Loss_D_fake 0.027264
[389/5000][290/535][39896] Loss_D: -0.029343 Loss_G: 0.026533 Loss_D_real: -0.032976 Loss_D_fake -0.003633
[389/5000][295/535][39897] Loss_D: -0.030887 Loss_G: 0.011933 Loss_D_real: -0.017122 Loss_D_fake 0.013764
[389/5000][300/535][39898] Loss_D: -0.028946 Loss_G: 0.036438 Loss_D_real: -0.031837 Loss_D_fake -0.002891
[389/5000][305/535][39899] Loss_D: -0.030098 Loss_G: 0.002208 Loss_D_real: -0.013561 Loss_D_fake 0.016537
[389/5000][310/535][39900] Loss_D: -0.029038 Loss_G: 0.006750 Loss_D_real: -0.009961 Loss_D_fake 0.019077
[389/5000][315/535][39901] Loss_D: -0.029045 Loss_G: 0.026524 Loss_D_real: -0.026220 Loss_D_fake 0.002824
[389/5000][320/535][39902] Loss_D: -0.028784 Loss_G: 0.009683 Loss_D_real: -0.015224 Loss_D_fake 0.013561
[389/5000][325/535][39903] Loss_D: -0.029636 Loss_G: 0.021733 Loss_D_real: -0.027930 Loss_D_fake 0.001706
[389/5000][330/535][39904] Loss_D: -0.027921 Loss_G: 0.032021 Loss_D_real: -0.030171 Loss_D_fake -0.002250
[389/5000][335/535][39905] Loss_D: -0.028700 Loss_G: 0.003488 Loss_D_real: -0.009800 Loss_D_fake 0.018900
[389/5000][340/535][39906] Loss_D: -0.030214 Loss_G: 0.013223 Loss_D_real: -0.021315 Loss_D_fake 0.008898
[389/5000][345/535][39907] Loss_D: -0.030169 Loss_G: 0.016387 Loss_D_real: -0.014309 Loss_D_fake 0.015860
[389/5000][350/535][39908] Loss_D: -0.029191 Loss_G: -0.000519 Loss_D_real: -0.010385 Loss_D_fake 0.018806
[389/5000][355/535][39909] Loss_D: -0.030952 Loss_G: 0.021279 Loss_D_real: -0.029902 Loss_D_fake 0.001050
[389/5000][360/535][39910] Loss_D: -0.030221 Loss_G: 0.006164 Loss_D_real: -0.011563 Loss_D_fake 0.018658
[389/5000][365/535][39911] Loss_D: -0.029305 Loss_G: 0.029822 Loss_D_real: -0.026401 Loss_D_fake 0.002904
[389/5000][370/535][39912] Loss_D: -0.030641 Loss_G: 0.015595 Loss_D_real: -0.017977 Loss_D_fake 0.012664
[389/5000][375/535][39913] Loss_D: -0.029303 Loss_G: 0.006182 Loss_D_real: -0.019015 Loss_D_fake 0.010288
[389/5000][380/535][39914] Loss_D: -0.029983 Loss_G: 0.028695 Loss_D_real: -0.025150 Loss_D_fake 0.004833
[389/5000][385/535][39915] Loss_D: -0.030388 Loss_G: 0.014789 Loss_D_real: -0.017696 Loss_D_fake 0.012692
[389/5000][390/535][39916] Loss_D: -0.028756 Loss_G: -0.003861 Loss_D_real: -0.006976 Loss_D_fake 0.021780
[389/5000][395/535][39917] Loss_D: -0.028735 Loss_G: 0.042128 Loss_D_real: -0.032388 Loss_D_fake -0.003654
[389/5000][400/535][39918] Loss_D: -0.027350 Loss_G: -0.007117 Loss_D_real: -0.005749 Loss_D_fake 0.021601
[389/5000][405/535][39919] Loss_D: -0.027870 Loss_G: 0.033718 Loss_D_real: -0.036188 Loss_D_fake -0.008318
[389/5000][410/535][39920] Loss_D: -0.029649 Loss_G: 0.005014 Loss_D_real: -0.016090 Loss_D_fake 0.013558
[389/5000][415/535][39921] Loss_D: -0.029742 Loss_G: 0.017108 Loss_D_real: -0.018796 Loss_D_fake 0.010946
[389/5000][420/535][39922] Loss_D: -0.030455 Loss_G: 0.016613 Loss_D_real: -0.029571 Loss_D_fake 0.000885
[389/5000][425/535][39923] Loss_D: -0.027721 Loss_G: 0.034253 Loss_D_real: -0.035190 Loss_D_fake -0.007469
[389/5000][430/535][39924] Loss_D: -0.029341 Loss_G: 0.008295 Loss_D_real: -0.009748 Loss_D_fake 0.019593
[389/5000][435/535][39925] Loss_D: -0.028642 Loss_G: 0.033022 Loss_D_real: -0.031050 Loss_D_fake -0.002408
[389/5000][440/535][39926] Loss_D: -0.029032 Loss_G: 0.003063 Loss_D_real: -0.023289 Loss_D_fake 0.005743
[389/5000][445/535][39927] Loss_D: -0.028776 Loss_G: 0.034583 Loss_D_real: -0.024521 Loss_D_fake 0.004255
[389/5000][450/535][39928] Loss_D: -0.028102 Loss_G: -0.013657 Loss_D_real: -0.003070 Loss_D_fake 0.025032
[389/5000][455/535][39929] Loss_D: -0.026448 Loss_G: 0.024171 Loss_D_real: -0.037463 Loss_D_fake -0.011015
[389/5000][460/535][39930] Loss_D: -0.029655 Loss_G: 0.016071 Loss_D_real: -0.013748 Loss_D_fake 0.015907
[389/5000][465/535][39931] Loss_D: -0.028968 Loss_G: 0.020647 Loss_D_real: -0.024677 Loss_D_fake 0.004292
[389/5000][470/535][39932] Loss_D: -0.028088 Loss_G: 0.002256 Loss_D_real: -0.014629 Loss_D_fake 0.013459
[389/5000][475/535][39933] Loss_D: -0.029260 Loss_G: 0.002042 Loss_D_real: -0.015368 Loss_D_fake 0.013893
[389/5000][480/535][39934] Loss_D: -0.027798 Loss_G: 0.031426 Loss_D_real: -0.037471 Loss_D_fake -0.009673
[389/5000][485/535][39935] Loss_D: -0.029875 Loss_G: 0.002640 Loss_D_real: -0.010227 Loss_D_fake 0.019648
[389/5000][490/535][39936] Loss_D: -0.030260 Loss_G: -0.003389 Loss_D_real: -0.007955 Loss_D_fake 0.022305
[389/5000][495/535][39937] Loss_D: -0.028113 Loss_G: -0.000158 Loss_D_real: -0.019431 Loss_D_fake 0.008682
[389/5000][500/535][39938] Loss_D: -0.029256 Loss_G: 0.030448 Loss_D_real: -0.027577 Loss_D_fake 0.001679
[389/5000][505/535][39939] Loss_D: -0.029648 Loss_G: 0.008451 Loss_D_real: -0.008337 Loss_D_fake 0.021312
[389/5000][510/535][39940] Loss_D: -0.030212 Loss_G: 0.015937 Loss_D_real: -0.017743 Loss_D_fake 0.012469
[389/5000][515/535][39941] Loss_D: -0.029032 Loss_G: 0.025814 Loss_D_real: -0.025602 Loss_D_fake 0.003430
[389/5000][520/535][39942] Loss_D: -0.029205 Loss_G: 0.007079 Loss_D_real: -0.012010 Loss_D_fake 0.017195
[389/5000][525/535][39943] Loss_D: -0.028907 Loss_G: 0.025325 Loss_D_real: -0.025838 Loss_D_fake 0.003069
[389/5000][530/535][39944] Loss_D: -0.029321 Loss_G: 0.009525 Loss_D_real: -0.024490 Loss_D_fake 0.004830
[389/5000][535/535][39945] Loss_D: -0.030724 Loss_G: -0.009098 Loss_D_real: -0.020336 Loss_D_fake 0.010388
[390/5000][5/535][39946] Loss_D: -0.028653 Loss_G: 0.015754 Loss_D_real: -0.022075 Loss_D_fake 0.006578
[390/5000][10/535][39947] Loss_D: -0.029969 Loss_G: 0.015900 Loss_D_real: -0.016736 Loss_D_fake 0.013233
[390/5000][15/535][39948] Loss_D: -0.030025 Loss_G: -0.009564 Loss_D_real: 0.000857 Loss_D_fake 0.030883
[390/5000][20/535][39949] Loss_D: -0.028470 Loss_G: 0.024345 Loss_D_real: -0.022146 Loss_D_fake 0.006323
[390/5000][25/535][39950] Loss_D: -0.028174 Loss_G: -0.006756 Loss_D_real: -0.004137 Loss_D_fake 0.024038
[390/5000][30/535][39951] Loss_D: -0.029211 Loss_G: 0.007901 Loss_D_real: -0.011877 Loss_D_fake 0.017333
[390/5000][35/535][39952] Loss_D: -0.029528 Loss_G: 0.003265 Loss_D_real: -0.009073 Loss_D_fake 0.020455
[390/5000][40/535][39953] Loss_D: -0.029164 Loss_G: 0.010259 Loss_D_real: -0.013374 Loss_D_fake 0.015790
[390/5000][45/535][39954] Loss_D: -0.029101 Loss_G: 0.017916 Loss_D_real: -0.013955 Loss_D_fake 0.015146
[390/5000][50/535][39955] Loss_D: -0.029481 Loss_G: 0.032775 Loss_D_real: -0.021882 Loss_D_fake 0.007599
[390/5000][55/535][39956] Loss_D: -0.029574 Loss_G: 0.022263 Loss_D_real: -0.025216 Loss_D_fake 0.004359
[390/5000][60/535][39957] Loss_D: -0.030470 Loss_G: 0.017765 Loss_D_real: -0.027400 Loss_D_fake 0.003070
[390/5000][65/535][39958] Loss_D: -0.030413 Loss_G: 0.014715 Loss_D_real: -0.011352 Loss_D_fake 0.019061
[390/5000][70/535][39959] Loss_D: -0.029993 Loss_G: 0.035967 Loss_D_real: -0.028962 Loss_D_fake 0.001031
[390/5000][75/535][39960] Loss_D: -0.029211 Loss_G: -0.014240 Loss_D_real: -0.002040 Loss_D_fake 0.027170
[390/5000][80/535][39961] Loss_D: -0.027224 Loss_G: 0.033748 Loss_D_real: -0.035396 Loss_D_fake -0.008172
[390/5000][85/535][39962] Loss_D: -0.029268 Loss_G: -0.001715 Loss_D_real: -0.003893 Loss_D_fake 0.025375
[390/5000][90/535][39963] Loss_D: -0.026902 Loss_G: 0.033020 Loss_D_real: -0.025383 Loss_D_fake 0.001519
[390/5000][95/535][39964] Loss_D: -0.028562 Loss_G: 0.018623 Loss_D_real: -0.022315 Loss_D_fake 0.006247
[390/5000][100/535][39965] Loss_D: -0.029505 Loss_G: -0.009311 Loss_D_real: -0.001972 Loss_D_fake 0.027533
[390/5000][105/535][39966] Loss_D: -0.028374 Loss_G: 0.014293 Loss_D_real: -0.018128 Loss_D_fake 0.010246
[390/5000][110/535][39967] Loss_D: -0.028961 Loss_G: 0.033498 Loss_D_real: -0.022709 Loss_D_fake 0.006253
[390/5000][115/535][39968] Loss_D: -0.030403 Loss_G: 0.024718 Loss_D_real: -0.026830 Loss_D_fake 0.003572
[390/5000][120/535][39969] Loss_D: -0.029416 Loss_G: 0.013899 Loss_D_real: -0.022534 Loss_D_fake 0.006881
[390/5000][125/535][39970] Loss_D: -0.030459 Loss_G: -0.000535 Loss_D_real: -0.001628 Loss_D_fake 0.028831
[390/5000][130/535][39971] Loss_D: -0.029277 Loss_G: 0.036543 Loss_D_real: -0.030772 Loss_D_fake -0.001495
[390/5000][135/535][39972] Loss_D: -0.029936 Loss_G: 0.020539 Loss_D_real: -0.026462 Loss_D_fake 0.003474
[390/5000][140/535][39973] Loss_D: -0.029154 Loss_G: -0.002416 Loss_D_real: -0.002954 Loss_D_fake 0.026200
[390/5000][145/535][39974] Loss_D: -0.028884 Loss_G: 0.010976 Loss_D_real: -0.014255 Loss_D_fake 0.014629
[390/5000][150/535][39975] Loss_D: -0.029167 Loss_G: -0.008910 Loss_D_real: -0.009693 Loss_D_fake 0.019474
[390/5000][155/535][39976] Loss_D: -0.029499 Loss_G: 0.016765 Loss_D_real: -0.019319 Loss_D_fake 0.010180
[390/5000][160/535][39977] Loss_D: -0.027938 Loss_G: 0.020517 Loss_D_real: -0.017702 Loss_D_fake 0.010236
[390/5000][165/535][39978] Loss_D: -0.030004 Loss_G: -0.008432 Loss_D_real: -0.012288 Loss_D_fake 0.017716
[390/5000][170/535][39979] Loss_D: -0.028596 Loss_G: 0.022882 Loss_D_real: -0.020314 Loss_D_fake 0.008281
[390/5000][175/535][39980] Loss_D: -0.029079 Loss_G: 0.022600 Loss_D_real: -0.028480 Loss_D_fake 0.000600
[390/5000][180/535][39981] Loss_D: -0.029787 Loss_G: 0.011136 Loss_D_real: -0.013236 Loss_D_fake 0.016551
[390/5000][185/535][39982] Loss_D: -0.030426 Loss_G: 0.018280 Loss_D_real: -0.019448 Loss_D_fake 0.010978
[390/5000][190/535][39983] Loss_D: -0.028897 Loss_G: 0.019983 Loss_D_real: -0.019718 Loss_D_fake 0.009179
[390/5000][195/535][39984] Loss_D: -0.030238 Loss_G: 0.019250 Loss_D_real: -0.022355 Loss_D_fake 0.007883
[390/5000][200/535][39985] Loss_D: -0.030266 Loss_G: 0.029075 Loss_D_real: -0.035889 Loss_D_fake -0.005623
[390/5000][205/535][39986] Loss_D: -0.029602 Loss_G: 0.010649 Loss_D_real: -0.013104 Loss_D_fake 0.016498
[390/5000][210/535][39987] Loss_D: -0.028277 Loss_G: 0.032437 Loss_D_real: -0.039290 Loss_D_fake -0.011014
[390/5000][215/535][39988] Loss_D: -0.030063 Loss_G: -0.006785 Loss_D_real: -0.000851 Loss_D_fake 0.029212
[390/5000][220/535][39989] Loss_D: -0.029817 Loss_G: 0.016287 Loss_D_real: -0.013998 Loss_D_fake 0.015819
[390/5000][225/535][39990] Loss_D: -0.028211 Loss_G: 0.021671 Loss_D_real: -0.024179 Loss_D_fake 0.004032
[390/5000][230/535][39991] Loss_D: -0.029414 Loss_G: 0.033629 Loss_D_real: -0.032225 Loss_D_fake -0.002811
[390/5000][235/535][39992] Loss_D: -0.026891 Loss_G: -0.008586 Loss_D_real: 0.004635 Loss_D_fake 0.031526
[390/5000][240/535][39993] Loss_D: -0.028234 Loss_G: 0.025512 Loss_D_real: -0.022814 Loss_D_fake 0.005420
[390/5000][245/535][39994] Loss_D: -0.028163 Loss_G: -0.005184 Loss_D_real: -0.015393 Loss_D_fake 0.012770
[390/5000][250/535][39995] Loss_D: -0.030149 Loss_G: 0.031707 Loss_D_real: -0.028695 Loss_D_fake 0.001454
[390/5000][255/535][39996] Loss_D: -0.029073 Loss_G: 0.010121 Loss_D_real: -0.019746 Loss_D_fake 0.009327
[390/5000][260/535][39997] Loss_D: -0.030735 Loss_G: 0.020669 Loss_D_real: -0.019797 Loss_D_fake 0.010938
[390/5000][265/535][39998] Loss_D: -0.029633 Loss_G: 0.024422 Loss_D_real: -0.027213 Loss_D_fake 0.002419
[390/5000][270/535][39999] Loss_D: -0.029604 Loss_G: 0.010355 Loss_D_real: -0.011623 Loss_D_fake 0.017980
[390/5000][275/535][40000] Loss_D: -0.029063 Loss_G: 0.021863 Loss_D_real: -0.023655 Loss_D_fake 0.005407
[390/5000][375/535][40001] Loss_D: -0.030472 Loss_G: 0.022166 Loss_D_real: -0.030814 Loss_D_fake -0.000342
[390/5000][380/535][40002] Loss_D: -0.029099 Loss_G: 0.008176 Loss_D_real: -0.001572 Loss_D_fake 0.027527
[390/5000][385/535][40003] Loss_D: -0.025716 Loss_G: -0.002391 Loss_D_real: -0.008987 Loss_D_fake 0.016729
[390/5000][390/535][40004] Loss_D: -0.027751 Loss_G: 0.018081 Loss_D_real: -0.026830 Loss_D_fake 0.000921
[390/5000][395/535][40005] Loss_D: -0.027236 Loss_G: -0.001785 Loss_D_real: -0.014483 Loss_D_fake 0.012753
[390/5000][400/535][40006] Loss_D: -0.027882 Loss_G: 0.012945 Loss_D_real: -0.008601 Loss_D_fake 0.019282
[390/5000][405/535][40007] Loss_D: -0.028803 Loss_G: 0.000446 Loss_D_real: -0.006544 Loss_D_fake 0.022259
[390/5000][410/535][40008] Loss_D: -0.028989 Loss_G: 0.028317 Loss_D_real: -0.033883 Loss_D_fake -0.004894
[390/5000][415/535][40009] Loss_D: -0.026323 Loss_G: -0.016433 Loss_D_real: 0.009735 Loss_D_fake 0.036058
[390/5000][420/535][40010] Loss_D: -0.028364 Loss_G: 0.009900 Loss_D_real: -0.019176 Loss_D_fake 0.009187
[390/5000][425/535][40011] Loss_D: -0.028446 Loss_G: 0.002124 Loss_D_real: -0.008521 Loss_D_fake 0.019925
[390/5000][430/535][40012] Loss_D: -0.028521 Loss_G: 0.012777 Loss_D_real: -0.019327 Loss_D_fake 0.009194
[390/5000][435/535][40013] Loss_D: -0.028715 Loss_G: 0.010611 Loss_D_real: -0.021153 Loss_D_fake 0.007562
[390/5000][440/535][40014] Loss_D: -0.029610 Loss_G: 0.026251 Loss_D_real: -0.034926 Loss_D_fake -0.005315
[390/5000][445/535][40015] Loss_D: -0.027837 Loss_G: 0.022333 Loss_D_real: -0.025972 Loss_D_fake 0.001864
[390/5000][450/535][40016] Loss_D: -0.028485 Loss_G: 0.017805 Loss_D_real: -0.014671 Loss_D_fake 0.013814
[390/5000][455/535][40017] Loss_D: -0.030259 Loss_G: 0.015184 Loss_D_real: -0.029774 Loss_D_fake 0.000485
[390/5000][460/535][40018] Loss_D: -0.029850 Loss_G: 0.015042 Loss_D_real: -0.022777 Loss_D_fake 0.007073
[390/5000][465/535][40019] Loss_D: -0.029122 Loss_G: 0.008735 Loss_D_real: -0.015793 Loss_D_fake 0.013329
[390/5000][470/535][40020] Loss_D: -0.029474 Loss_G: 0.003631 Loss_D_real: -0.013911 Loss_D_fake 0.015562
[390/5000][475/535][40021] Loss_D: -0.028751 Loss_G: 0.019066 Loss_D_real: -0.017725 Loss_D_fake 0.011026
[390/5000][480/535][40022] Loss_D: -0.030431 Loss_G: 0.016407 Loss_D_real: -0.022914 Loss_D_fake 0.007517
[390/5000][485/535][40023] Loss_D: -0.030005 Loss_G: 0.035137 Loss_D_real: -0.030240 Loss_D_fake -0.000235
[390/5000][490/535][40024] Loss_D: -0.030663 Loss_G: 0.014094 Loss_D_real: -0.021215 Loss_D_fake 0.009448
[390/5000][495/535][40025] Loss_D: -0.029859 Loss_G: 0.016515 Loss_D_real: -0.013465 Loss_D_fake 0.016394
[390/5000][500/535][40026] Loss_D: -0.029538 Loss_G: -0.005845 Loss_D_real: -0.013794 Loss_D_fake 0.015744
[390/5000][505/535][40027] Loss_D: -0.028915 Loss_G: 0.009626 Loss_D_real: -0.018680 Loss_D_fake 0.010235
[390/5000][510/535][40028] Loss_D: -0.029099 Loss_G: 0.012901 Loss_D_real: -0.013575 Loss_D_fake 0.015524
[390/5000][515/535][40029] Loss_D: -0.028866 Loss_G: 0.016391 Loss_D_real: -0.025376 Loss_D_fake 0.003490
[390/5000][520/535][40030] Loss_D: -0.028402 Loss_G: 0.010541 Loss_D_real: -0.022779 Loss_D_fake 0.005623
[390/5000][525/535][40031] Loss_D: -0.027625 Loss_G: 0.041048 Loss_D_real: -0.039239 Loss_D_fake -0.011614
[390/5000][530/535][40032] Loss_D: -0.029215 Loss_G: 0.004446 Loss_D_real: -0.016237 Loss_D_fake 0.012978
[390/5000][535/535][40033] Loss_D: -0.027081 Loss_G: 0.012837 Loss_D_real: -0.042478 Loss_D_fake -0.015397
[391/5000][5/535][40034] Loss_D: -0.029151 Loss_G: -0.009347 Loss_D_real: -0.007945 Loss_D_fake 0.021206
[391/5000][10/535][40035] Loss_D: -0.028730 Loss_G: -0.002845 Loss_D_real: -0.017722 Loss_D_fake 0.011008
[391/5000][15/535][40036] Loss_D: -0.027352 Loss_G: 0.032312 Loss_D_real: -0.028932 Loss_D_fake -0.001580
[391/5000][20/535][40037] Loss_D: -0.028172 Loss_G: -0.000157 Loss_D_real: -0.013260 Loss_D_fake 0.014912
[391/5000][25/535][40038] Loss_D: -0.027936 Loss_G: 0.030802 Loss_D_real: -0.027546 Loss_D_fake 0.000390
[391/5000][30/535][40039] Loss_D: -0.028769 Loss_G: 0.018802 Loss_D_real: -0.025103 Loss_D_fake 0.003666
[391/5000][35/535][40040] Loss_D: -0.029224 Loss_G: -0.004217 Loss_D_real: -0.009401 Loss_D_fake 0.019824
[391/5000][40/535][40041] Loss_D: -0.027985 Loss_G: 0.009619 Loss_D_real: -0.028202 Loss_D_fake -0.000217
[391/5000][45/535][40042] Loss_D: -0.030008 Loss_G: 0.025862 Loss_D_real: -0.026033 Loss_D_fake 0.003975
[391/5000][50/535][40043] Loss_D: -0.029423 Loss_G: -0.014062 Loss_D_real: -0.006433 Loss_D_fake 0.022990
[391/5000][55/535][40044] Loss_D: -0.028326 Loss_G: 0.028418 Loss_D_real: -0.030188 Loss_D_fake -0.001862
[391/5000][60/535][40045] Loss_D: -0.031162 Loss_G: 0.013197 Loss_D_real: -0.012060 Loss_D_fake 0.019102
[391/5000][65/535][40046] Loss_D: -0.029717 Loss_G: 0.003902 Loss_D_real: -0.012033 Loss_D_fake 0.017684
[391/5000][70/535][40047] Loss_D: -0.029563 Loss_G: 0.004986 Loss_D_real: -0.013730 Loss_D_fake 0.015833
[391/5000][75/535][40048] Loss_D: -0.029185 Loss_G: 0.022877 Loss_D_real: -0.023240 Loss_D_fake 0.005945
[391/5000][80/535][40049] Loss_D: -0.030261 Loss_G: -0.005269 Loss_D_real: -0.008181 Loss_D_fake 0.022079
[391/5000][85/535][40050] Loss_D: -0.029785 Loss_G: 0.027137 Loss_D_real: -0.027369 Loss_D_fake 0.002417
[391/5000][90/535][40051] Loss_D: -0.031019 Loss_G: 0.019661 Loss_D_real: -0.018483 Loss_D_fake 0.012536
[391/5000][95/535][40052] Loss_D: -0.029729 Loss_G: 0.005161 Loss_D_real: -0.004053 Loss_D_fake 0.025676
[391/5000][100/535][40053] Loss_D: -0.030281 Loss_G: 0.007420 Loss_D_real: -0.005090 Loss_D_fake 0.025191
[391/5000][105/535][40054] Loss_D: -0.030193 Loss_G: 0.019179 Loss_D_real: -0.021821 Loss_D_fake 0.008372
[391/5000][110/535][40055] Loss_D: -0.029972 Loss_G: 0.010899 Loss_D_real: -0.016904 Loss_D_fake 0.013068
[391/5000][115/535][40056] Loss_D: -0.029234 Loss_G: 0.009778 Loss_D_real: -0.019261 Loss_D_fake 0.009973
[391/5000][120/535][40057] Loss_D: -0.029650 Loss_G: 0.041120 Loss_D_real: -0.032874 Loss_D_fake -0.003225
[391/5000][125/535][40058] Loss_D: -0.028940 Loss_G: 0.014271 Loss_D_real: -0.013549 Loss_D_fake 0.015391
[391/5000][130/535][40059] Loss_D: -0.029915 Loss_G: 0.011698 Loss_D_real: -0.011483 Loss_D_fake 0.018432
[391/5000][135/535][40060] Loss_D: -0.030701 Loss_G: 0.020951 Loss_D_real: -0.015975 Loss_D_fake 0.014726
[391/5000][140/535][40061] Loss_D: -0.030537 Loss_G: -0.011634 Loss_D_real: -0.007631 Loss_D_fake 0.022906
[391/5000][145/535][40062] Loss_D: -0.028025 Loss_G: 0.017148 Loss_D_real: -0.018750 Loss_D_fake 0.009275
[391/5000][150/535][40063] Loss_D: -0.028804 Loss_G: 0.016954 Loss_D_real: -0.028407 Loss_D_fake 0.000397
[391/5000][155/535][40064] Loss_D: -0.028482 Loss_G: 0.037142 Loss_D_real: -0.037963 Loss_D_fake -0.009481
[391/5000][160/535][40065] Loss_D: -0.027356 Loss_G: -0.002220 Loss_D_real: 0.000358 Loss_D_fake 0.027715
[391/5000][165/535][40066] Loss_D: -0.028537 Loss_G: 0.033633 Loss_D_real: -0.027168 Loss_D_fake 0.001370
[391/5000][170/535][40067] Loss_D: -0.028716 Loss_G: -0.005245 Loss_D_real: -0.004121 Loss_D_fake 0.024595
[391/5000][175/535][40068] Loss_D: -0.027684 Loss_G: -0.001132 Loss_D_real: -0.011328 Loss_D_fake 0.016357
[391/5000][180/535][40069] Loss_D: -0.028348 Loss_G: -0.000062 Loss_D_real: -0.008142 Loss_D_fake 0.020206
[391/5000][185/535][40070] Loss_D: -0.028726 Loss_G: 0.032371 Loss_D_real: -0.028341 Loss_D_fake 0.000385
[391/5000][190/535][40071] Loss_D: -0.028200 Loss_G: 0.024117 Loss_D_real: -0.027506 Loss_D_fake 0.000694
[391/5000][195/535][40072] Loss_D: -0.028007 Loss_G: -0.012516 Loss_D_real: -0.001043 Loss_D_fake 0.026963
[391/5000][200/535][40073] Loss_D: -0.028308 Loss_G: 0.018798 Loss_D_real: -0.029097 Loss_D_fake -0.000789
[391/5000][205/535][40074] Loss_D: -0.028128 Loss_G: 0.025053 Loss_D_real: -0.025638 Loss_D_fake 0.002490
[391/5000][210/535][40075] Loss_D: -0.030129 Loss_G: -0.006891 Loss_D_real: -0.009206 Loss_D_fake 0.020923
[391/5000][215/535][40076] Loss_D: -0.028016 Loss_G: 0.036147 Loss_D_real: -0.030149 Loss_D_fake -0.002133
[391/5000][220/535][40077] Loss_D: -0.028439 Loss_G: 0.015341 Loss_D_real: -0.023862 Loss_D_fake 0.004577
[391/5000][225/535][40078] Loss_D: -0.028720 Loss_G: 0.031959 Loss_D_real: -0.029714 Loss_D_fake -0.000994
[391/5000][230/535][40079] Loss_D: -0.028411 Loss_G: -0.016793 Loss_D_real: 0.003305 Loss_D_fake 0.031716
[391/5000][235/535][40080] Loss_D: -0.028608 Loss_G: 0.024565 Loss_D_real: -0.014938 Loss_D_fake 0.013670
[391/5000][240/535][40081] Loss_D: -0.028367 Loss_G: 0.002051 Loss_D_real: -0.008622 Loss_D_fake 0.019745
[391/5000][245/535][40082] Loss_D: -0.029987 Loss_G: 0.014552 Loss_D_real: -0.019810 Loss_D_fake 0.010177
[391/5000][250/535][40083] Loss_D: -0.029995 Loss_G: 0.018484 Loss_D_real: -0.021778 Loss_D_fake 0.008218
[391/5000][255/535][40084] Loss_D: -0.030373 Loss_G: 0.009286 Loss_D_real: -0.011787 Loss_D_fake 0.018586
[391/5000][260/535][40085] Loss_D: -0.029909 Loss_G: 0.013285 Loss_D_real: -0.020642 Loss_D_fake 0.009268
[391/5000][265/535][40086] Loss_D: -0.029697 Loss_G: -0.001651 Loss_D_real: -0.009225 Loss_D_fake 0.020472
[391/5000][270/535][40087] Loss_D: -0.029131 Loss_G: 0.030618 Loss_D_real: -0.031382 Loss_D_fake -0.002251
[391/5000][275/535][40088] Loss_D: -0.028484 Loss_G: 0.005681 Loss_D_real: -0.007362 Loss_D_fake 0.021122
[391/5000][280/535][40089] Loss_D: -0.027549 Loss_G: 0.027707 Loss_D_real: -0.037627 Loss_D_fake -0.010078
[391/5000][285/535][40090] Loss_D: -0.030055 Loss_G: 0.007966 Loss_D_real: -0.016940 Loss_D_fake 0.013115
[391/5000][290/535][40091] Loss_D: -0.030713 Loss_G: 0.009661 Loss_D_real: -0.013800 Loss_D_fake 0.016913
[391/5000][295/535][40092] Loss_D: -0.029920 Loss_G: 0.031023 Loss_D_real: -0.029606 Loss_D_fake 0.000314
[391/5000][300/535][40093] Loss_D: -0.028172 Loss_G: 0.026815 Loss_D_real: -0.027898 Loss_D_fake 0.000275
[391/5000][305/535][40094] Loss_D: -0.029535 Loss_G: 0.020002 Loss_D_real: -0.026593 Loss_D_fake 0.002942
[391/5000][310/535][40095] Loss_D: -0.029702 Loss_G: 0.027847 Loss_D_real: -0.028564 Loss_D_fake 0.001138
[391/5000][315/535][40096] Loss_D: -0.029233 Loss_G: -0.007920 Loss_D_real: -0.002278 Loss_D_fake 0.026955
[391/5000][320/535][40097] Loss_D: -0.026962 Loss_G: 0.036773 Loss_D_real: -0.032492 Loss_D_fake -0.005530
[391/5000][325/535][40098] Loss_D: -0.028779 Loss_G: 0.020314 Loss_D_real: -0.011599 Loss_D_fake 0.017180
[391/5000][330/535][40099] Loss_D: -0.029271 Loss_G: 0.019006 Loss_D_real: -0.019939 Loss_D_fake 0.009332
[391/5000][335/535][40100] Loss_D: -0.030287 Loss_G: 0.019948 Loss_D_real: -0.023966 Loss_D_fake 0.006321
[391/5000][340/535][40101] Loss_D: -0.030307 Loss_G: 0.010651 Loss_D_real: -0.015978 Loss_D_fake 0.014330
[391/5000][345/535][40102] Loss_D: -0.030815 Loss_G: 0.013971 Loss_D_real: -0.020952 Loss_D_fake 0.009863
[391/5000][350/535][40103] Loss_D: -0.029736 Loss_G: -0.000841 Loss_D_real: -0.000112 Loss_D_fake 0.029624
[391/5000][355/535][40104] Loss_D: -0.029093 Loss_G: 0.022095 Loss_D_real: -0.028269 Loss_D_fake 0.000824
[391/5000][360/535][40105] Loss_D: -0.028901 Loss_G: 0.030671 Loss_D_real: -0.027276 Loss_D_fake 0.001625
[391/5000][365/535][40106] Loss_D: -0.030047 Loss_G: 0.002400 Loss_D_real: -0.014304 Loss_D_fake 0.015742
[391/5000][370/535][40107] Loss_D: -0.029251 Loss_G: 0.032288 Loss_D_real: -0.032236 Loss_D_fake -0.002986
[391/5000][375/535][40108] Loss_D: -0.027907 Loss_G: 0.014151 Loss_D_real: -0.010777 Loss_D_fake 0.017130
[391/5000][380/535][40109] Loss_D: -0.029703 Loss_G: 0.027832 Loss_D_real: -0.024622 Loss_D_fake 0.005081
[391/5000][385/535][40110] Loss_D: -0.028828 Loss_G: -0.005502 Loss_D_real: -0.010812 Loss_D_fake 0.018016
[391/5000][390/535][40111] Loss_D: -0.029042 Loss_G: 0.026837 Loss_D_real: -0.022962 Loss_D_fake 0.006080
[391/5000][395/535][40112] Loss_D: -0.030519 Loss_G: 0.022699 Loss_D_real: -0.024120 Loss_D_fake 0.006399
[391/5000][400/535][40113] Loss_D: -0.029823 Loss_G: 0.014543 Loss_D_real: -0.021433 Loss_D_fake 0.008390
[391/5000][405/535][40114] Loss_D: -0.029409 Loss_G: 0.025537 Loss_D_real: -0.024456 Loss_D_fake 0.004953
[391/5000][410/535][40115] Loss_D: -0.030255 Loss_G: 0.019184 Loss_D_real: -0.024608 Loss_D_fake 0.005647
[391/5000][415/535][40116] Loss_D: -0.029667 Loss_G: 0.027662 Loss_D_real: -0.019432 Loss_D_fake 0.010235
[391/5000][420/535][40117] Loss_D: -0.029364 Loss_G: -0.004787 Loss_D_real: -0.008000 Loss_D_fake 0.021363
[391/5000][425/535][40118] Loss_D: -0.029902 Loss_G: 0.027865 Loss_D_real: -0.032089 Loss_D_fake -0.002187
[391/5000][430/535][40119] Loss_D: -0.030003 Loss_G: 0.027043 Loss_D_real: -0.031867 Loss_D_fake -0.001864
[391/5000][435/535][40120] Loss_D: -0.028629 Loss_G: 0.030030 Loss_D_real: -0.028826 Loss_D_fake -0.000197
[391/5000][440/535][40121] Loss_D: -0.028175 Loss_G: 0.039786 Loss_D_real: -0.040442 Loss_D_fake -0.012268
[391/5000][445/535][40122] Loss_D: -0.029435 Loss_G: 0.009585 Loss_D_real: -0.009977 Loss_D_fake 0.019458
[391/5000][450/535][40123] Loss_D: -0.029556 Loss_G: 0.016498 Loss_D_real: -0.029793 Loss_D_fake -0.000237
[391/5000][455/535][40124] Loss_D: -0.030048 Loss_G: 0.024266 Loss_D_real: -0.022607 Loss_D_fake 0.007441
[391/5000][460/535][40125] Loss_D: -0.029697 Loss_G: -0.008302 Loss_D_real: -0.014652 Loss_D_fake 0.015045
[391/5000][465/535][40126] Loss_D: -0.028982 Loss_G: 0.016828 Loss_D_real: -0.018496 Loss_D_fake 0.010485
[391/5000][470/535][40127] Loss_D: -0.028291 Loss_G: 0.006844 Loss_D_real: -0.015805 Loss_D_fake 0.012486
[391/5000][475/535][40128] Loss_D: -0.029288 Loss_G: 0.012809 Loss_D_real: -0.018892 Loss_D_fake 0.010396
[391/5000][480/535][40129] Loss_D: -0.027535 Loss_G: 0.039267 Loss_D_real: -0.039018 Loss_D_fake -0.011483
[391/5000][485/535][40130] Loss_D: -0.028844 Loss_G: 0.009106 Loss_D_real: -0.012567 Loss_D_fake 0.016278
[391/5000][490/535][40131] Loss_D: -0.029142 Loss_G: 0.023508 Loss_D_real: -0.025265 Loss_D_fake 0.003877
[391/5000][495/535][40132] Loss_D: -0.029786 Loss_G: 0.015708 Loss_D_real: -0.023119 Loss_D_fake 0.006667
[391/5000][500/535][40133] Loss_D: -0.028533 Loss_G: 0.016900 Loss_D_real: -0.017842 Loss_D_fake 0.010691
[391/5000][505/535][40134] Loss_D: -0.028523 Loss_G: 0.013602 Loss_D_real: -0.012184 Loss_D_fake 0.016339
[391/5000][510/535][40135] Loss_D: -0.029238 Loss_G: 0.019166 Loss_D_real: -0.018871 Loss_D_fake 0.010367
[391/5000][515/535][40136] Loss_D: -0.029045 Loss_G: 0.026777 Loss_D_real: -0.026734 Loss_D_fake 0.002311
[391/5000][520/535][40137] Loss_D: -0.029437 Loss_G: 0.007096 Loss_D_real: -0.024125 Loss_D_fake 0.005313
[391/5000][525/535][40138] Loss_D: -0.030855 Loss_G: 0.011539 Loss_D_real: -0.020528 Loss_D_fake 0.010327
[391/5000][530/535][40139] Loss_D: -0.028617 Loss_G: 0.023767 Loss_D_real: -0.029989 Loss_D_fake -0.001372
[391/5000][535/535][40140] Loss_D: -0.031011 Loss_G: 0.035774 Loss_D_real: -0.048695 Loss_D_fake -0.017684
[392/5000][5/535][40141] Loss_D: -0.029088 Loss_G: -0.019712 Loss_D_real: 0.000545 Loss_D_fake 0.029633
[392/5000][10/535][40142] Loss_D: -0.027863 Loss_G: 0.012644 Loss_D_real: -0.025988 Loss_D_fake 0.001875
[392/5000][15/535][40143] Loss_D: -0.029039 Loss_G: 0.026634 Loss_D_real: -0.027911 Loss_D_fake 0.001128
[392/5000][20/535][40144] Loss_D: -0.030106 Loss_G: 0.015766 Loss_D_real: -0.027434 Loss_D_fake 0.002673
[392/5000][25/535][40145] Loss_D: -0.030067 Loss_G: 0.018724 Loss_D_real: -0.019548 Loss_D_fake 0.010519
[392/5000][30/535][40146] Loss_D: -0.028996 Loss_G: 0.007030 Loss_D_real: -0.013067 Loss_D_fake 0.015929
[392/5000][35/535][40147] Loss_D: -0.027154 Loss_G: 0.012196 Loss_D_real: -0.012489 Loss_D_fake 0.014665
[392/5000][40/535][40148] Loss_D: -0.028814 Loss_G: 0.023687 Loss_D_real: -0.023327 Loss_D_fake 0.005487
[392/5000][45/535][40149] Loss_D: -0.028596 Loss_G: -0.011003 Loss_D_real: 0.000537 Loss_D_fake 0.029133
[392/5000][50/535][40150] Loss_D: -0.027781 Loss_G: 0.023675 Loss_D_real: -0.024926 Loss_D_fake 0.002855
[392/5000][55/535][40151] Loss_D: -0.029936 Loss_G: 0.008531 Loss_D_real: -0.022101 Loss_D_fake 0.007835
[392/5000][60/535][40152] Loss_D: -0.029878 Loss_G: 0.019101 Loss_D_real: -0.020130 Loss_D_fake 0.009748
[392/5000][65/535][40153] Loss_D: -0.027916 Loss_G: -0.017626 Loss_D_real: 0.009166 Loss_D_fake 0.037082
[392/5000][70/535][40154] Loss_D: -0.028897 Loss_G: 0.026395 Loss_D_real: -0.025687 Loss_D_fake 0.003210
[392/5000][75/535][40155] Loss_D: -0.028465 Loss_G: 0.003375 Loss_D_real: -0.014784 Loss_D_fake 0.013681
[392/5000][80/535][40156] Loss_D: -0.029820 Loss_G: 0.015877 Loss_D_real: -0.024409 Loss_D_fake 0.005411
[392/5000][85/535][40157] Loss_D: -0.029535 Loss_G: 0.006983 Loss_D_real: -0.016261 Loss_D_fake 0.013274
[392/5000][90/535][40158] Loss_D: -0.030866 Loss_G: 0.010654 Loss_D_real: -0.003995 Loss_D_fake 0.026871
[392/5000][95/535][40159] Loss_D: -0.028937 Loss_G: 0.016349 Loss_D_real: -0.012881 Loss_D_fake 0.016056
[392/5000][100/535][40160] Loss_D: -0.027830 Loss_G: 0.033189 Loss_D_real: -0.026834 Loss_D_fake 0.000996
[392/5000][105/535][40161] Loss_D: -0.028220 Loss_G: 0.009801 Loss_D_real: -0.014369 Loss_D_fake 0.013851
[392/5000][110/535][40162] Loss_D: -0.029938 Loss_G: 0.020244 Loss_D_real: -0.023353 Loss_D_fake 0.006585
[392/5000][115/535][40163] Loss_D: -0.029053 Loss_G: 0.044165 Loss_D_real: -0.040566 Loss_D_fake -0.011513
[392/5000][120/535][40164] Loss_D: -0.028424 Loss_G: 0.016245 Loss_D_real: -0.016039 Loss_D_fake 0.012385
[392/5000][125/535][40165] Loss_D: -0.028377 Loss_G: -0.015967 Loss_D_real: -0.004258 Loss_D_fake 0.024120
[392/5000][130/535][40166] Loss_D: -0.027585 Loss_G: 0.019711 Loss_D_real: -0.018141 Loss_D_fake 0.009444
[392/5000][135/535][40167] Loss_D: -0.027483 Loss_G: 0.005622 Loss_D_real: -0.010422 Loss_D_fake 0.017061
[392/5000][140/535][40168] Loss_D: -0.028345 Loss_G: 0.008308 Loss_D_real: -0.010500 Loss_D_fake 0.017846
[392/5000][145/535][40169] Loss_D: -0.028756 Loss_G: 0.000279 Loss_D_real: -0.000482 Loss_D_fake 0.028274
[392/5000][150/535][40170] Loss_D: -0.027688 Loss_G: 0.029533 Loss_D_real: -0.022788 Loss_D_fake 0.004899
[392/5000][155/535][40171] Loss_D: -0.029477 Loss_G: 0.008701 Loss_D_real: -0.015495 Loss_D_fake 0.013982
[392/5000][160/535][40172] Loss_D: -0.030069 Loss_G: 0.027765 Loss_D_real: -0.031673 Loss_D_fake -0.001604
[392/5000][165/535][40173] Loss_D: -0.030344 Loss_G: 0.037246 Loss_D_real: -0.023914 Loss_D_fake 0.006431
[392/5000][170/535][40174] Loss_D: -0.029460 Loss_G: 0.006200 Loss_D_real: -0.014836 Loss_D_fake 0.014624
[392/5000][175/535][40175] Loss_D: -0.028585 Loss_G: 0.036801 Loss_D_real: -0.033727 Loss_D_fake -0.005142
[392/5000][180/535][40176] Loss_D: -0.030704 Loss_G: -0.001779 Loss_D_real: -0.010148 Loss_D_fake 0.020556
[392/5000][185/535][40177] Loss_D: -0.028477 Loss_G: 0.003580 Loss_D_real: -0.009397 Loss_D_fake 0.019080
[392/5000][190/535][40178] Loss_D: -0.027756 Loss_G: 0.017802 Loss_D_real: -0.016498 Loss_D_fake 0.011258
[392/5000][195/535][40179] Loss_D: -0.029316 Loss_G: 0.029711 Loss_D_real: -0.032645 Loss_D_fake -0.003330
[392/5000][200/535][40180] Loss_D: -0.029920 Loss_G: 0.000291 Loss_D_real: -0.012554 Loss_D_fake 0.017366
[392/5000][205/535][40181] Loss_D: -0.026601 Loss_G: 0.028362 Loss_D_real: -0.026557 Loss_D_fake 0.000044
[392/5000][210/535][40182] Loss_D: -0.029355 Loss_G: 0.007617 Loss_D_real: -0.008106 Loss_D_fake 0.021249
[392/5000][215/535][40183] Loss_D: -0.029127 Loss_G: 0.011964 Loss_D_real: -0.012433 Loss_D_fake 0.016694
[392/5000][220/535][40184] Loss_D: -0.029183 Loss_G: 0.009908 Loss_D_real: -0.015323 Loss_D_fake 0.013859
[392/5000][225/535][40185] Loss_D: -0.030908 Loss_G: 0.020070 Loss_D_real: -0.020637 Loss_D_fake 0.010271
[392/5000][230/535][40186] Loss_D: -0.028229 Loss_G: 0.034197 Loss_D_real: -0.036432 Loss_D_fake -0.008204
[392/5000][235/535][40187] Loss_D: -0.029828 Loss_G: 0.027636 Loss_D_real: -0.035791 Loss_D_fake -0.005963
[392/5000][240/535][40188] Loss_D: -0.030272 Loss_G: 0.026944 Loss_D_real: -0.016036 Loss_D_fake 0.014236
[392/5000][245/535][40189] Loss_D: -0.031040 Loss_G: -0.011471 Loss_D_real: -0.009675 Loss_D_fake 0.021365
[392/5000][250/535][40190] Loss_D: -0.030629 Loss_G: 0.008141 Loss_D_real: -0.019214 Loss_D_fake 0.011415
[392/5000][255/535][40191] Loss_D: -0.030086 Loss_G: 0.018218 Loss_D_real: -0.023224 Loss_D_fake 0.006862
[392/5000][260/535][40192] Loss_D: -0.029817 Loss_G: 0.015739 Loss_D_real: -0.019081 Loss_D_fake 0.010735
[392/5000][265/535][40193] Loss_D: -0.029654 Loss_G: -0.008280 Loss_D_real: -0.007166 Loss_D_fake 0.022488
[392/5000][270/535][40194] Loss_D: -0.028457 Loss_G: -0.007538 Loss_D_real: 0.009070 Loss_D_fake 0.037527
[392/5000][275/535][40195] Loss_D: -0.029310 Loss_G: 0.017598 Loss_D_real: -0.010181 Loss_D_fake 0.019129
[392/5000][280/535][40196] Loss_D: -0.028564 Loss_G: -0.001123 Loss_D_real: -0.010320 Loss_D_fake 0.018244
[392/5000][285/535][40197] Loss_D: -0.028063 Loss_G: 0.028200 Loss_D_real: -0.031189 Loss_D_fake -0.003125
[392/5000][290/535][40198] Loss_D: -0.029448 Loss_G: 0.031154 Loss_D_real: -0.025670 Loss_D_fake 0.003778
[392/5000][295/535][40199] Loss_D: -0.030347 Loss_G: 0.010062 Loss_D_real: -0.015560 Loss_D_fake 0.014787
[392/5000][300/535][40200] Loss_D: -0.029826 Loss_G: 0.028903 Loss_D_real: -0.024346 Loss_D_fake 0.005481
[392/5000][305/535][40201] Loss_D: -0.030522 Loss_G: 0.008516 Loss_D_real: -0.016271 Loss_D_fake 0.014252
[392/5000][310/535][40202] Loss_D: -0.028917 Loss_G: 0.010012 Loss_D_real: -0.013613 Loss_D_fake 0.015304
[392/5000][315/535][40203] Loss_D: -0.027650 Loss_G: 0.037199 Loss_D_real: -0.033259 Loss_D_fake -0.005609
[392/5000][320/535][40204] Loss_D: -0.029907 Loss_G: 0.025414 Loss_D_real: -0.030107 Loss_D_fake -0.000199
[392/5000][325/535][40205] Loss_D: -0.029233 Loss_G: -0.004660 Loss_D_real: -0.003354 Loss_D_fake 0.025879
[392/5000][330/535][40206] Loss_D: -0.027084 Loss_G: -0.002248 Loss_D_real: -0.011920 Loss_D_fake 0.015164
[392/5000][335/535][40207] Loss_D: -0.028213 Loss_G: 0.018839 Loss_D_real: -0.016756 Loss_D_fake 0.011457
[392/5000][340/535][40208] Loss_D: -0.029747 Loss_G: 0.008674 Loss_D_real: -0.010562 Loss_D_fake 0.019185
[392/5000][345/535][40209] Loss_D: -0.029072 Loss_G: 0.008723 Loss_D_real: -0.018236 Loss_D_fake 0.010836
[392/5000][350/535][40210] Loss_D: -0.029210 Loss_G: 0.013136 Loss_D_real: -0.022541 Loss_D_fake 0.006669
[392/5000][355/535][40211] Loss_D: -0.027456 Loss_G: 0.035885 Loss_D_real: -0.040040 Loss_D_fake -0.012584
[392/5000][360/535][40212] Loss_D: -0.029097 Loss_G: 0.013653 Loss_D_real: -0.027151 Loss_D_fake 0.001946
[392/5000][365/535][40213] Loss_D: -0.030086 Loss_G: 0.026113 Loss_D_real: -0.021847 Loss_D_fake 0.008239
[392/5000][370/535][40214] Loss_D: -0.029065 Loss_G: 0.013348 Loss_D_real: -0.030135 Loss_D_fake -0.001070
[392/5000][375/535][40215] Loss_D: -0.027969 Loss_G: 0.034309 Loss_D_real: -0.026233 Loss_D_fake 0.001736
[392/5000][380/535][40216] Loss_D: -0.029721 Loss_G: 0.014000 Loss_D_real: -0.018648 Loss_D_fake 0.011073
[392/5000][385/535][40217] Loss_D: -0.030197 Loss_G: 0.002263 Loss_D_real: -0.009187 Loss_D_fake 0.021010
[392/5000][390/535][40218] Loss_D: -0.029016 Loss_G: 0.028609 Loss_D_real: -0.030492 Loss_D_fake -0.001476
[392/5000][395/535][40219] Loss_D: -0.028709 Loss_G: -0.002876 Loss_D_real: 0.000802 Loss_D_fake 0.029511
[392/5000][400/535][40220] Loss_D: -0.028755 Loss_G: 0.015431 Loss_D_real: -0.028691 Loss_D_fake 0.000063
[392/5000][405/535][40221] Loss_D: -0.029805 Loss_G: 0.017549 Loss_D_real: -0.013335 Loss_D_fake 0.016470
[392/5000][410/535][40222] Loss_D: -0.029537 Loss_G: 0.005639 Loss_D_real: -0.015812 Loss_D_fake 0.013726
[392/5000][415/535][40223] Loss_D: -0.029052 Loss_G: 0.032548 Loss_D_real: -0.033001 Loss_D_fake -0.003950
[392/5000][420/535][40224] Loss_D: -0.029927 Loss_G: 0.006673 Loss_D_real: -0.008191 Loss_D_fake 0.021737
[392/5000][425/535][40225] Loss_D: -0.029391 Loss_G: -0.005557 Loss_D_real: -0.011238 Loss_D_fake 0.018154
[392/5000][430/535][40226] Loss_D: -0.029758 Loss_G: 0.023231 Loss_D_real: -0.023911 Loss_D_fake 0.005848
[392/5000][435/535][40227] Loss_D: -0.030270 Loss_G: -0.000271 Loss_D_real: -0.006094 Loss_D_fake 0.024175
[392/5000][440/535][40228] Loss_D: -0.029688 Loss_G: 0.029294 Loss_D_real: -0.025287 Loss_D_fake 0.004401
[392/5000][445/535][40229] Loss_D: -0.030071 Loss_G: 0.002589 Loss_D_real: -0.008968 Loss_D_fake 0.021103
[392/5000][450/535][40230] Loss_D: -0.027279 Loss_G: 0.035945 Loss_D_real: -0.028445 Loss_D_fake -0.001166
[392/5000][455/535][40231] Loss_D: -0.029269 Loss_G: 0.004857 Loss_D_real: -0.004265 Loss_D_fake 0.025003
[392/5000][460/535][40232] Loss_D: -0.029986 Loss_G: 0.027891 Loss_D_real: -0.027915 Loss_D_fake 0.002071
[392/5000][465/535][40233] Loss_D: -0.030119 Loss_G: 0.020694 Loss_D_real: -0.026307 Loss_D_fake 0.003812
[392/5000][470/535][40234] Loss_D: -0.028472 Loss_G: -0.002749 Loss_D_real: 0.000012 Loss_D_fake 0.028484
[392/5000][475/535][40235] Loss_D: -0.028876 Loss_G: 0.016657 Loss_D_real: -0.024953 Loss_D_fake 0.003922
[392/5000][480/535][40236] Loss_D: -0.029563 Loss_G: 0.011627 Loss_D_real: -0.015601 Loss_D_fake 0.013963
[392/5000][485/535][40237] Loss_D: -0.027459 Loss_G: 0.033629 Loss_D_real: -0.038817 Loss_D_fake -0.011358
[392/5000][490/535][40238] Loss_D: -0.029391 Loss_G: 0.005812 Loss_D_real: -0.022781 Loss_D_fake 0.006609
[392/5000][495/535][40239] Loss_D: -0.029100 Loss_G: 0.026367 Loss_D_real: -0.035345 Loss_D_fake -0.006245
[392/5000][500/535][40240] Loss_D: -0.028276 Loss_G: -0.014133 Loss_D_real: -0.001667 Loss_D_fake 0.026609
[392/5000][505/535][40241] Loss_D: -0.028840 Loss_G: 0.011590 Loss_D_real: -0.022725 Loss_D_fake 0.006114
[392/5000][510/535][40242] Loss_D: -0.028889 Loss_G: 0.023513 Loss_D_real: -0.018849 Loss_D_fake 0.010040
[392/5000][515/535][40243] Loss_D: -0.028802 Loss_G: 0.019254 Loss_D_real: -0.023292 Loss_D_fake 0.005510
[392/5000][520/535][40244] Loss_D: -0.029464 Loss_G: 0.022383 Loss_D_real: -0.019505 Loss_D_fake 0.009959
[392/5000][525/535][40245] Loss_D: -0.028791 Loss_G: -0.000968 Loss_D_real: -0.015681 Loss_D_fake 0.013110
[392/5000][530/535][40246] Loss_D: -0.028269 Loss_G: 0.006067 Loss_D_real: -0.017703 Loss_D_fake 0.010565
[392/5000][535/535][40247] Loss_D: -0.032927 Loss_G: 0.028677 Loss_D_real: -0.031719 Loss_D_fake 0.001208
[393/5000][5/535][40248] Loss_D: -0.029361 Loss_G: 0.014107 Loss_D_real: -0.012095 Loss_D_fake 0.017266
[393/5000][10/535][40249] Loss_D: -0.029133 Loss_G: 0.000712 Loss_D_real: -0.014314 Loss_D_fake 0.014819
[393/5000][15/535][40250] Loss_D: -0.030564 Loss_G: 0.015491 Loss_D_real: -0.019763 Loss_D_fake 0.010801
[393/5000][20/535][40251] Loss_D: -0.030097 Loss_G: 0.029104 Loss_D_real: -0.033523 Loss_D_fake -0.003426
[393/5000][25/535][40252] Loss_D: -0.029880 Loss_G: 0.025044 Loss_D_real: -0.015986 Loss_D_fake 0.013895
[393/5000][30/535][40253] Loss_D: -0.029317 Loss_G: 0.027253 Loss_D_real: -0.027505 Loss_D_fake 0.001812
[393/5000][35/535][40254] Loss_D: -0.031205 Loss_G: 0.002484 Loss_D_real: -0.007713 Loss_D_fake 0.023492
[393/5000][40/535][40255] Loss_D: -0.028939 Loss_G: 0.031619 Loss_D_real: -0.024621 Loss_D_fake 0.004318
[393/5000][45/535][40256] Loss_D: -0.027490 Loss_G: 0.000858 Loss_D_real: -0.005939 Loss_D_fake 0.021551
[393/5000][50/535][40257] Loss_D: -0.029408 Loss_G: 0.007372 Loss_D_real: -0.017896 Loss_D_fake 0.011511
[393/5000][55/535][40258] Loss_D: -0.029774 Loss_G: 0.022979 Loss_D_real: -0.023950 Loss_D_fake 0.005824
[393/5000][60/535][40259] Loss_D: -0.030115 Loss_G: 0.017100 Loss_D_real: -0.030288 Loss_D_fake -0.000173
[393/5000][65/535][40260] Loss_D: -0.029362 Loss_G: 0.020508 Loss_D_real: -0.018288 Loss_D_fake 0.011074
[393/5000][70/535][40261] Loss_D: -0.029478 Loss_G: -0.020530 Loss_D_real: -0.007453 Loss_D_fake 0.022025
[393/5000][75/535][40262] Loss_D: -0.029397 Loss_G: 0.006791 Loss_D_real: -0.010263 Loss_D_fake 0.019134
[393/5000][80/535][40263] Loss_D: -0.028868 Loss_G: 0.011955 Loss_D_real: -0.012019 Loss_D_fake 0.016850
[393/5000][85/535][40264] Loss_D: -0.030199 Loss_G: 0.017588 Loss_D_real: -0.021771 Loss_D_fake 0.008428
[393/5000][90/535][40265] Loss_D: -0.029340 Loss_G: 0.026682 Loss_D_real: -0.027221 Loss_D_fake 0.002119
[393/5000][95/535][40266] Loss_D: -0.029693 Loss_G: 0.024646 Loss_D_real: -0.031329 Loss_D_fake -0.001636
[393/5000][100/535][40267] Loss_D: -0.029825 Loss_G: -0.001429 Loss_D_real: -0.007539 Loss_D_fake 0.022285
[393/5000][105/535][40268] Loss_D: -0.029096 Loss_G: 0.022847 Loss_D_real: -0.030022 Loss_D_fake -0.000925
[393/5000][110/535][40269] Loss_D: -0.027946 Loss_G: 0.028545 Loss_D_real: -0.027469 Loss_D_fake 0.000477
[393/5000][115/535][40270] Loss_D: -0.029467 Loss_G: 0.009454 Loss_D_real: -0.010633 Loss_D_fake 0.018834
[393/5000][120/535][40271] Loss_D: -0.028836 Loss_G: 0.018963 Loss_D_real: -0.022744 Loss_D_fake 0.006092
[393/5000][125/535][40272] Loss_D: -0.030141 Loss_G: 0.010969 Loss_D_real: -0.023348 Loss_D_fake 0.006793
[393/5000][130/535][40273] Loss_D: -0.029238 Loss_G: 0.031617 Loss_D_real: -0.024315 Loss_D_fake 0.004923
[393/5000][135/535][40274] Loss_D: -0.028715 Loss_G: 0.003486 Loss_D_real: -0.011277 Loss_D_fake 0.017437
[393/5000][140/535][40275] Loss_D: -0.030687 Loss_G: 0.015273 Loss_D_real: -0.013844 Loss_D_fake 0.016843
[393/5000][145/535][40276] Loss_D: -0.028928 Loss_G: 0.005258 Loss_D_real: -0.018386 Loss_D_fake 0.010542
[393/5000][150/535][40277] Loss_D: -0.029213 Loss_G: 0.027517 Loss_D_real: -0.024557 Loss_D_fake 0.004656
[393/5000][155/535][40278] Loss_D: -0.028779 Loss_G: 0.006498 Loss_D_real: -0.011108 Loss_D_fake 0.017671
[393/5000][160/535][40279] Loss_D: -0.029374 Loss_G: 0.023600 Loss_D_real: -0.022283 Loss_D_fake 0.007091
[393/5000][165/535][40280] Loss_D: -0.030622 Loss_G: 0.022126 Loss_D_real: -0.026111 Loss_D_fake 0.004511
[393/5000][170/535][40281] Loss_D: -0.029599 Loss_G: 0.031650 Loss_D_real: -0.026947 Loss_D_fake 0.002652
[393/5000][175/535][40282] Loss_D: -0.027892 Loss_G: -0.013194 Loss_D_real: 0.000253 Loss_D_fake 0.028146
[393/5000][180/535][40283] Loss_D: -0.028887 Loss_G: 0.027444 Loss_D_real: -0.032861 Loss_D_fake -0.003974
[393/5000][185/535][40284] Loss_D: -0.029643 Loss_G: 0.015319 Loss_D_real: -0.018134 Loss_D_fake 0.011509
[393/5000][190/535][40285] Loss_D: -0.028054 Loss_G: 0.029301 Loss_D_real: -0.028882 Loss_D_fake -0.000828
[393/5000][195/535][40286] Loss_D: -0.028273 Loss_G: 0.021478 Loss_D_real: -0.017402 Loss_D_fake 0.010871
[393/5000][200/535][40287] Loss_D: -0.026887 Loss_G: -0.000152 Loss_D_real: -0.004361 Loss_D_fake 0.022526
[393/5000][205/535][40288] Loss_D: -0.028820 Loss_G: 0.031176 Loss_D_real: -0.030912 Loss_D_fake -0.002092
[393/5000][210/535][40289] Loss_D: -0.030144 Loss_G: 0.018773 Loss_D_real: -0.013255 Loss_D_fake 0.016889
[393/5000][215/535][40290] Loss_D: -0.026536 Loss_G: 0.037277 Loss_D_real: -0.036662 Loss_D_fake -0.010125
[393/5000][220/535][40291] Loss_D: -0.030702 Loss_G: 0.007638 Loss_D_real: -0.010726 Loss_D_fake 0.019977
[393/5000][225/535][40292] Loss_D: -0.028212 Loss_G: 0.035466 Loss_D_real: -0.030973 Loss_D_fake -0.002760
[393/5000][230/535][40293] Loss_D: -0.028147 Loss_G: -0.005528 Loss_D_real: 0.001504 Loss_D_fake 0.029651
[393/5000][235/535][40294] Loss_D: -0.028502 Loss_G: 0.028518 Loss_D_real: -0.022079 Loss_D_fake 0.006423
[393/5000][240/535][40295] Loss_D: -0.028065 Loss_G: 0.003050 Loss_D_real: -0.012199 Loss_D_fake 0.015866
[393/5000][245/535][40296] Loss_D: -0.027129 Loss_G: 0.030523 Loss_D_real: -0.039362 Loss_D_fake -0.012233
[393/5000][250/535][40297] Loss_D: -0.029011 Loss_G: 0.011901 Loss_D_real: -0.008842 Loss_D_fake 0.020170
[393/5000][255/535][40298] Loss_D: -0.028738 Loss_G: 0.007830 Loss_D_real: -0.019364 Loss_D_fake 0.009374
[393/5000][260/535][40299] Loss_D: -0.028000 Loss_G: 0.019094 Loss_D_real: -0.019616 Loss_D_fake 0.008384
[393/5000][265/535][40300] Loss_D: -0.028425 Loss_G: 0.018538 Loss_D_real: -0.020971 Loss_D_fake 0.007453
[393/5000][270/535][40301] Loss_D: -0.028927 Loss_G: 0.005464 Loss_D_real: -0.016690 Loss_D_fake 0.012237
[393/5000][275/535][40302] Loss_D: -0.030027 Loss_G: 0.030148 Loss_D_real: -0.031685 Loss_D_fake -0.001658
[393/5000][280/535][40303] Loss_D: -0.030353 Loss_G: 0.026593 Loss_D_real: -0.032769 Loss_D_fake -0.002416
[393/5000][285/535][40304] Loss_D: -0.031090 Loss_G: 0.014543 Loss_D_real: -0.022150 Loss_D_fake 0.008941
[393/5000][290/535][40305] Loss_D: -0.029735 Loss_G: 0.014735 Loss_D_real: -0.016209 Loss_D_fake 0.013526
[393/5000][295/535][40306] Loss_D: -0.027901 Loss_G: 0.014797 Loss_D_real: -0.018932 Loss_D_fake 0.008968
[393/5000][300/535][40307] Loss_D: -0.028271 Loss_G: 0.018713 Loss_D_real: -0.024971 Loss_D_fake 0.003300
[393/5000][305/535][40308] Loss_D: -0.028574 Loss_G: 0.005050 Loss_D_real: -0.025384 Loss_D_fake 0.003190
[393/5000][310/535][40309] Loss_D: -0.029912 Loss_G: 0.013735 Loss_D_real: -0.021336 Loss_D_fake 0.008576
[393/5000][315/535][40310] Loss_D: -0.029015 Loss_G: 0.027036 Loss_D_real: -0.025114 Loss_D_fake 0.003900
[393/5000][320/535][40311] Loss_D: -0.029729 Loss_G: 0.004663 Loss_D_real: -0.018062 Loss_D_fake 0.011667
[393/5000][325/535][40312] Loss_D: -0.029192 Loss_G: 0.010998 Loss_D_real: -0.014447 Loss_D_fake 0.014745
[393/5000][330/535][40313] Loss_D: -0.029450 Loss_G: 0.024295 Loss_D_real: -0.027009 Loss_D_fake 0.002441
[393/5000][335/535][40314] Loss_D: -0.030604 Loss_G: 0.017744 Loss_D_real: -0.020596 Loss_D_fake 0.010007
[393/5000][340/535][40315] Loss_D: -0.030950 Loss_G: 0.016154 Loss_D_real: -0.020596 Loss_D_fake 0.010354
[393/5000][345/535][40316] Loss_D: -0.029187 Loss_G: -0.004573 Loss_D_real: 0.003266 Loss_D_fake 0.032453
[393/5000][350/535][40317] Loss_D: -0.030416 Loss_G: 0.015688 Loss_D_real: -0.013923 Loss_D_fake 0.016493
[393/5000][355/535][40318] Loss_D: -0.028016 Loss_G: -0.003922 Loss_D_real: 0.003905 Loss_D_fake 0.031921
[393/5000][360/535][40319] Loss_D: -0.031039 Loss_G: -0.001684 Loss_D_real: -0.011469 Loss_D_fake 0.019570
[393/5000][365/535][40320] Loss_D: -0.027868 Loss_G: 0.026351 Loss_D_real: -0.032644 Loss_D_fake -0.004776
[393/5000][370/535][40321] Loss_D: -0.028444 Loss_G: -0.006589 Loss_D_real: 0.006473 Loss_D_fake 0.034917
[393/5000][375/535][40322] Loss_D: -0.028977 Loss_G: 0.028270 Loss_D_real: -0.029840 Loss_D_fake -0.000864
[393/5000][380/535][40323] Loss_D: -0.028975 Loss_G: 0.012298 Loss_D_real: -0.015928 Loss_D_fake 0.013047
[393/5000][385/535][40324] Loss_D: -0.028428 Loss_G: 0.032635 Loss_D_real: -0.029146 Loss_D_fake -0.000718
[393/5000][390/535][40325] Loss_D: -0.029509 Loss_G: 0.011464 Loss_D_real: -0.012340 Loss_D_fake 0.017169
[393/5000][395/535][40326] Loss_D: -0.030274 Loss_G: -0.007600 Loss_D_real: 0.000429 Loss_D_fake 0.030702
[393/5000][400/535][40327] Loss_D: -0.029178 Loss_G: 0.016199 Loss_D_real: -0.031119 Loss_D_fake -0.001941
[393/5000][405/535][40328] Loss_D: -0.028164 Loss_G: 0.030673 Loss_D_real: -0.033178 Loss_D_fake -0.005014
[393/5000][410/535][40329] Loss_D: -0.030406 Loss_G: 0.020418 Loss_D_real: -0.020216 Loss_D_fake 0.010190
[393/5000][415/535][40330] Loss_D: -0.028025 Loss_G: 0.031442 Loss_D_real: -0.031309 Loss_D_fake -0.003284
[393/5000][420/535][40331] Loss_D: -0.029217 Loss_G: -0.001635 Loss_D_real: -0.010092 Loss_D_fake 0.019125
[393/5000][425/535][40332] Loss_D: -0.029414 Loss_G: 0.021866 Loss_D_real: -0.021167 Loss_D_fake 0.008247
[393/5000][430/535][40333] Loss_D: -0.030153 Loss_G: 0.006250 Loss_D_real: -0.014448 Loss_D_fake 0.015706
[393/5000][435/535][40334] Loss_D: -0.030648 Loss_G: 0.024108 Loss_D_real: -0.030744 Loss_D_fake -0.000096
[393/5000][440/535][40335] Loss_D: -0.028525 Loss_G: 0.008748 Loss_D_real: -0.005713 Loss_D_fake 0.022812
[393/5000][445/535][40336] Loss_D: -0.029940 Loss_G: 0.029989 Loss_D_real: -0.017725 Loss_D_fake 0.012215
[393/5000][450/535][40337] Loss_D: -0.028923 Loss_G: 0.023254 Loss_D_real: -0.030863 Loss_D_fake -0.001939
[393/5000][455/535][40338] Loss_D: -0.029099 Loss_G: 0.008613 Loss_D_real: -0.010048 Loss_D_fake 0.019051
[393/5000][460/535][40339] Loss_D: -0.029235 Loss_G: 0.025370 Loss_D_real: -0.031613 Loss_D_fake -0.002378
[393/5000][465/535][40340] Loss_D: -0.028064 Loss_G: 0.010388 Loss_D_real: -0.010125 Loss_D_fake 0.017940
[393/5000][470/535][40341] Loss_D: -0.028247 Loss_G: 0.002233 Loss_D_real: -0.020304 Loss_D_fake 0.007943
[393/5000][475/535][40342] Loss_D: -0.027290 Loss_G: 0.019713 Loss_D_real: -0.032016 Loss_D_fake -0.004726
[393/5000][480/535][40343] Loss_D: -0.029383 Loss_G: 0.005815 Loss_D_real: -0.006934 Loss_D_fake 0.022449
[393/5000][485/535][40344] Loss_D: -0.028305 Loss_G: 0.018704 Loss_D_real: -0.014681 Loss_D_fake 0.013624
[393/5000][490/535][40345] Loss_D: -0.028112 Loss_G: 0.001952 Loss_D_real: -0.005158 Loss_D_fake 0.022955
[393/5000][495/535][40346] Loss_D: -0.029125 Loss_G: 0.005423 Loss_D_real: -0.008287 Loss_D_fake 0.020838
[393/5000][500/535][40347] Loss_D: -0.028193 Loss_G: 0.006700 Loss_D_real: -0.021245 Loss_D_fake 0.006948
[393/5000][505/535][40348] Loss_D: -0.026093 Loss_G: 0.035489 Loss_D_real: -0.039827 Loss_D_fake -0.013734
[393/5000][510/535][40349] Loss_D: -0.030076 Loss_G: 0.014619 Loss_D_real: -0.019605 Loss_D_fake 0.010471
[393/5000][515/535][40350] Loss_D: -0.027799 Loss_G: 0.007517 Loss_D_real: -0.008330 Loss_D_fake 0.019470
[393/5000][520/535][40351] Loss_D: -0.027273 Loss_G: -0.006622 Loss_D_real: -0.011232 Loss_D_fake 0.016041
[393/5000][525/535][40352] Loss_D: -0.029670 Loss_G: 0.013340 Loss_D_real: -0.016253 Loss_D_fake 0.013418
[393/5000][530/535][40353] Loss_D: -0.028977 Loss_G: 0.040897 Loss_D_real: -0.030894 Loss_D_fake -0.001918
[393/5000][535/535][40354] Loss_D: -0.025974 Loss_G: -0.020117 Loss_D_real: 0.006314 Loss_D_fake 0.032288
[394/5000][5/535][40355] Loss_D: -0.028156 Loss_G: 0.027199 Loss_D_real: -0.031546 Loss_D_fake -0.003390
[394/5000][10/535][40356] Loss_D: -0.029774 Loss_G: 0.025974 Loss_D_real: -0.031227 Loss_D_fake -0.001452
[394/5000][15/535][40357] Loss_D: -0.030715 Loss_G: 0.010260 Loss_D_real: -0.020607 Loss_D_fake 0.010108
[394/5000][20/535][40358] Loss_D: -0.028814 Loss_G: 0.020596 Loss_D_real: -0.011509 Loss_D_fake 0.017305
[394/5000][25/535][40359] Loss_D: -0.031368 Loss_G: 0.006181 Loss_D_real: -0.013073 Loss_D_fake 0.018295
[394/5000][30/535][40360] Loss_D: -0.029125 Loss_G: 0.009459 Loss_D_real: -0.015816 Loss_D_fake 0.013309
[394/5000][35/535][40361] Loss_D: -0.030130 Loss_G: 0.014135 Loss_D_real: -0.017576 Loss_D_fake 0.012553
[394/5000][40/535][40362] Loss_D: -0.028610 Loss_G: 0.021455 Loss_D_real: -0.024205 Loss_D_fake 0.004405
[394/5000][45/535][40363] Loss_D: -0.029949 Loss_G: 0.028559 Loss_D_real: -0.027797 Loss_D_fake 0.002152
[394/5000][50/535][40364] Loss_D: -0.028358 Loss_G: 0.004070 Loss_D_real: -0.004789 Loss_D_fake 0.023569
[394/5000][55/535][40365] Loss_D: -0.028874 Loss_G: 0.026355 Loss_D_real: -0.032025 Loss_D_fake -0.003151
[394/5000][60/535][40366] Loss_D: -0.029319 Loss_G: 0.007316 Loss_D_real: -0.013940 Loss_D_fake 0.015378
[394/5000][65/535][40367] Loss_D: -0.029217 Loss_G: 0.025357 Loss_D_real: -0.024932 Loss_D_fake 0.004285
[394/5000][70/535][40368] Loss_D: -0.028137 Loss_G: -0.004935 Loss_D_real: -0.000516 Loss_D_fake 0.027621
[394/5000][75/535][40369] Loss_D: -0.029340 Loss_G: 0.027327 Loss_D_real: -0.025894 Loss_D_fake 0.003446
[394/5000][80/535][40370] Loss_D: -0.030065 Loss_G: 0.012716 Loss_D_real: -0.017339 Loss_D_fake 0.012725
[394/5000][85/535][40371] Loss_D: -0.029070 Loss_G: 0.020681 Loss_D_real: -0.018177 Loss_D_fake 0.010893
[394/5000][90/535][40372] Loss_D: -0.028309 Loss_G: 0.025624 Loss_D_real: -0.036684 Loss_D_fake -0.008376
[394/5000][95/535][40373] Loss_D: -0.028635 Loss_G: 0.028734 Loss_D_real: -0.030486 Loss_D_fake -0.001851
[394/5000][100/535][40374] Loss_D: -0.028851 Loss_G: 0.024290 Loss_D_real: -0.029428 Loss_D_fake -0.000578
[394/5000][105/535][40375] Loss_D: -0.030665 Loss_G: -0.000687 Loss_D_real: -0.008228 Loss_D_fake 0.022437
[394/5000][110/535][40376] Loss_D: -0.028139 Loss_G: 0.028862 Loss_D_real: -0.029335 Loss_D_fake -0.001196
[394/5000][115/535][40377] Loss_D: -0.029281 Loss_G: 0.010550 Loss_D_real: -0.019019 Loss_D_fake 0.010263
[394/5000][120/535][40378] Loss_D: -0.029172 Loss_G: 0.012610 Loss_D_real: -0.019177 Loss_D_fake 0.009995
[394/5000][125/535][40379] Loss_D: -0.030016 Loss_G: 0.005244 Loss_D_real: -0.014295 Loss_D_fake 0.015721
[394/5000][130/535][40380] Loss_D: -0.030533 Loss_G: 0.024836 Loss_D_real: -0.023878 Loss_D_fake 0.006655
[394/5000][135/535][40381] Loss_D: -0.029074 Loss_G: 0.002749 Loss_D_real: -0.008852 Loss_D_fake 0.020222
[394/5000][140/535][40382] Loss_D: -0.029089 Loss_G: 0.017736 Loss_D_real: -0.019435 Loss_D_fake 0.009654
[394/5000][145/535][40383] Loss_D: -0.028601 Loss_G: 0.005004 Loss_D_real: -0.009803 Loss_D_fake 0.018798
[394/5000][150/535][40384] Loss_D: -0.027532 Loss_G: 0.034085 Loss_D_real: -0.030564 Loss_D_fake -0.003033
[394/5000][155/535][40385] Loss_D: -0.029458 Loss_G: -0.006849 Loss_D_real: -0.011735 Loss_D_fake 0.017723
[394/5000][160/535][40386] Loss_D: -0.029482 Loss_G: 0.014161 Loss_D_real: -0.014262 Loss_D_fake 0.015221
[394/5000][165/535][40387] Loss_D: -0.028519 Loss_G: 0.005274 Loss_D_real: -0.010120 Loss_D_fake 0.018398
[394/5000][170/535][40388] Loss_D: -0.029899 Loss_G: 0.016017 Loss_D_real: -0.017503 Loss_D_fake 0.012396
[394/5000][175/535][40389] Loss_D: -0.028722 Loss_G: 0.015388 Loss_D_real: -0.018768 Loss_D_fake 0.009955
[394/5000][180/535][40390] Loss_D: -0.031106 Loss_G: 0.023693 Loss_D_real: -0.020431 Loss_D_fake 0.010675
[394/5000][185/535][40391] Loss_D: -0.029191 Loss_G: 0.020990 Loss_D_real: -0.018890 Loss_D_fake 0.010301
[394/5000][190/535][40392] Loss_D: -0.029388 Loss_G: 0.013264 Loss_D_real: -0.018900 Loss_D_fake 0.010487
[394/5000][195/535][40393] Loss_D: -0.027946 Loss_G: -0.014962 Loss_D_real: -0.001818 Loss_D_fake 0.026128
[394/5000][200/535][40394] Loss_D: -0.027727 Loss_G: 0.004964 Loss_D_real: -0.013551 Loss_D_fake 0.014176
[394/5000][205/535][40395] Loss_D: -0.029091 Loss_G: 0.011896 Loss_D_real: -0.017236 Loss_D_fake 0.011854
[394/5000][210/535][40396] Loss_D: -0.028450 Loss_G: 0.033182 Loss_D_real: -0.021435 Loss_D_fake 0.007015
[394/5000][215/535][40397] Loss_D: -0.028649 Loss_G: 0.027245 Loss_D_real: -0.019247 Loss_D_fake 0.009401
[394/5000][220/535][40398] Loss_D: -0.030076 Loss_G: 0.010798 Loss_D_real: -0.015184 Loss_D_fake 0.014892
[394/5000][225/535][40399] Loss_D: -0.028649 Loss_G: 0.012962 Loss_D_real: -0.017286 Loss_D_fake 0.011363
[394/5000][230/535][40400] Loss_D: -0.027734 Loss_G: 0.040494 Loss_D_real: -0.043435 Loss_D_fake -0.015700
[394/5000][235/535][40401] Loss_D: -0.027730 Loss_G: 0.015475 Loss_D_real: -0.018250 Loss_D_fake 0.009480
[394/5000][240/535][40402] Loss_D: -0.030467 Loss_G: 0.017657 Loss_D_real: -0.017133 Loss_D_fake 0.013334
[394/5000][245/535][40403] Loss_D: -0.030489 Loss_G: 0.007390 Loss_D_real: -0.019655 Loss_D_fake 0.010835
[394/5000][250/535][40404] Loss_D: -0.029659 Loss_G: 0.013375 Loss_D_real: -0.017380 Loss_D_fake 0.012279
[394/5000][255/535][40405] Loss_D: -0.028924 Loss_G: 0.034984 Loss_D_real: -0.036091 Loss_D_fake -0.007168
[394/5000][260/535][40406] Loss_D: -0.030327 Loss_G: 0.012192 Loss_D_real: -0.017476 Loss_D_fake 0.012851
[394/5000][265/535][40407] Loss_D: -0.029480 Loss_G: 0.002745 Loss_D_real: -0.011465 Loss_D_fake 0.018015
[394/5000][270/535][40408] Loss_D: -0.028793 Loss_G: 0.029605 Loss_D_real: -0.026283 Loss_D_fake 0.002510
[394/5000][275/535][40409] Loss_D: -0.029530 Loss_G: 0.017098 Loss_D_real: -0.029939 Loss_D_fake -0.000409
[394/5000][280/535][40410] Loss_D: -0.029196 Loss_G: 0.023175 Loss_D_real: -0.017415 Loss_D_fake 0.011781
[394/5000][285/535][40411] Loss_D: -0.027893 Loss_G: 0.026368 Loss_D_real: -0.027294 Loss_D_fake 0.000599
[394/5000][290/535][40412] Loss_D: -0.027838 Loss_G: 0.024939 Loss_D_real: -0.017660 Loss_D_fake 0.010178
[394/5000][295/535][40413] Loss_D: -0.029237 Loss_G: 0.011136 Loss_D_real: -0.011252 Loss_D_fake 0.017985
[394/5000][300/535][40414] Loss_D: -0.027464 Loss_G: -0.005942 Loss_D_real: -0.001325 Loss_D_fake 0.026140
[394/5000][305/535][40415] Loss_D: -0.027913 Loss_G: 0.030196 Loss_D_real: -0.039532 Loss_D_fake -0.011619
[394/5000][310/535][40416] Loss_D: -0.029309 Loss_G: 0.024525 Loss_D_real: -0.031295 Loss_D_fake -0.001985
[394/5000][315/535][40417] Loss_D: -0.028625 Loss_G: 0.010229 Loss_D_real: -0.023190 Loss_D_fake 0.005435
[394/5000][320/535][40418] Loss_D: -0.029574 Loss_G: 0.004801 Loss_D_real: -0.013622 Loss_D_fake 0.015953
[394/5000][325/535][40419] Loss_D: -0.030113 Loss_G: 0.013077 Loss_D_real: -0.023355 Loss_D_fake 0.006758
[394/5000][330/535][40420] Loss_D: -0.029017 Loss_G: 0.038768 Loss_D_real: -0.022767 Loss_D_fake 0.006250
[394/5000][335/535][40421] Loss_D: -0.029264 Loss_G: 0.016687 Loss_D_real: -0.016173 Loss_D_fake 0.013091
[394/5000][340/535][40422] Loss_D: -0.028266 Loss_G: 0.020398 Loss_D_real: -0.024453 Loss_D_fake 0.003813
[394/5000][345/535][40423] Loss_D: -0.028407 Loss_G: -0.002415 Loss_D_real: -0.007710 Loss_D_fake 0.020697
[394/5000][350/535][40424] Loss_D: -0.027453 Loss_G: 0.029828 Loss_D_real: -0.030566 Loss_D_fake -0.003113
[394/5000][355/535][40425] Loss_D: -0.027353 Loss_G: -0.004015 Loss_D_real: -0.000148 Loss_D_fake 0.027205
[394/5000][360/535][40426] Loss_D: -0.030272 Loss_G: -0.003446 Loss_D_real: -0.019685 Loss_D_fake 0.010587
[394/5000][365/535][40427] Loss_D: -0.028837 Loss_G: 0.022457 Loss_D_real: -0.023592 Loss_D_fake 0.005245
[394/5000][370/535][40428] Loss_D: -0.029835 Loss_G: 0.038890 Loss_D_real: -0.031756 Loss_D_fake -0.001921
[394/5000][375/535][40429] Loss_D: -0.028501 Loss_G: -0.006626 Loss_D_real: -0.000880 Loss_D_fake 0.027620
[394/5000][380/535][40430] Loss_D: -0.029030 Loss_G: 0.014814 Loss_D_real: -0.025243 Loss_D_fake 0.003786
[394/5000][385/535][40431] Loss_D: -0.028368 Loss_G: 0.008074 Loss_D_real: -0.019157 Loss_D_fake 0.009211
[394/5000][390/535][40432] Loss_D: -0.029743 Loss_G: 0.020510 Loss_D_real: -0.027543 Loss_D_fake 0.002201
[394/5000][395/535][40433] Loss_D: -0.029732 Loss_G: 0.016585 Loss_D_real: -0.024835 Loss_D_fake 0.004896
[394/5000][400/535][40434] Loss_D: -0.026612 Loss_G: -0.005719 Loss_D_real: -0.007437 Loss_D_fake 0.019175
[394/5000][405/535][40435] Loss_D: -0.029879 Loss_G: 0.029364 Loss_D_real: -0.022914 Loss_D_fake 0.006965
[394/5000][410/535][40436] Loss_D: -0.030025 Loss_G: 0.017829 Loss_D_real: -0.020308 Loss_D_fake 0.009717
[394/5000][415/535][40437] Loss_D: -0.030234 Loss_G: 0.010287 Loss_D_real: -0.025213 Loss_D_fake 0.005021
[394/5000][420/535][40438] Loss_D: -0.027708 Loss_G: 0.027963 Loss_D_real: -0.042793 Loss_D_fake -0.015085
[394/5000][425/535][40439] Loss_D: -0.030233 Loss_G: 0.004470 Loss_D_real: -0.014121 Loss_D_fake 0.016111
[394/5000][430/535][40440] Loss_D: -0.029535 Loss_G: 0.016152 Loss_D_real: -0.023086 Loss_D_fake 0.006449
[394/5000][435/535][40441] Loss_D: -0.030354 Loss_G: 0.022805 Loss_D_real: -0.027104 Loss_D_fake 0.003251
[394/5000][440/535][40442] Loss_D: -0.029010 Loss_G: 0.018362 Loss_D_real: -0.020019 Loss_D_fake 0.008991
[394/5000][445/535][40443] Loss_D: -0.030310 Loss_G: -0.004132 Loss_D_real: -0.009282 Loss_D_fake 0.021028
[394/5000][450/535][40444] Loss_D: -0.030281 Loss_G: 0.019572 Loss_D_real: -0.014348 Loss_D_fake 0.015933
[394/5000][455/535][40445] Loss_D: -0.029170 Loss_G: 0.022632 Loss_D_real: -0.024040 Loss_D_fake 0.005130
[394/5000][460/535][40446] Loss_D: -0.030707 Loss_G: 0.021550 Loss_D_real: -0.027214 Loss_D_fake 0.003493
[394/5000][465/535][40447] Loss_D: -0.028829 Loss_G: 0.010551 Loss_D_real: -0.013301 Loss_D_fake 0.015527
[394/5000][470/535][40448] Loss_D: -0.029295 Loss_G: -0.005275 Loss_D_real: -0.002432 Loss_D_fake 0.026863
[394/5000][475/535][40449] Loss_D: -0.029925 Loss_G: 0.029593 Loss_D_real: -0.025120 Loss_D_fake 0.004805
[394/5000][480/535][40450] Loss_D: -0.028979 Loss_G: 0.012189 Loss_D_real: -0.015901 Loss_D_fake 0.013078
[394/5000][485/535][40451] Loss_D: -0.029939 Loss_G: 0.021937 Loss_D_real: -0.016901 Loss_D_fake 0.013038
[394/5000][490/535][40452] Loss_D: -0.029083 Loss_G: 0.003356 Loss_D_real: -0.016869 Loss_D_fake 0.012214
[394/5000][495/535][40453] Loss_D: -0.028702 Loss_G: 0.041393 Loss_D_real: -0.036519 Loss_D_fake -0.007817
[394/5000][500/535][40454] Loss_D: -0.027371 Loss_G: 0.034409 Loss_D_real: -0.033909 Loss_D_fake -0.006538
[394/5000][505/535][40455] Loss_D: -0.029342 Loss_G: -0.003539 Loss_D_real: -0.006011 Loss_D_fake 0.023331
[394/5000][510/535][40456] Loss_D: -0.027328 Loss_G: 0.022781 Loss_D_real: -0.021651 Loss_D_fake 0.005677
[394/5000][515/535][40457] Loss_D: -0.028181 Loss_G: 0.030256 Loss_D_real: -0.026429 Loss_D_fake 0.001752
[394/5000][520/535][40458] Loss_D: -0.029379 Loss_G: 0.012153 Loss_D_real: -0.015483 Loss_D_fake 0.013896
[394/5000][525/535][40459] Loss_D: -0.028514 Loss_G: -0.002265 Loss_D_real: 0.000907 Loss_D_fake 0.029421
[394/5000][530/535][40460] Loss_D: -0.029473 Loss_G: 0.001514 Loss_D_real: -0.009061 Loss_D_fake 0.020412
[394/5000][535/535][40461] Loss_D: -0.024281 Loss_G: 0.024697 Loss_D_real: -0.019967 Loss_D_fake 0.004314
[395/5000][5/535][40462] Loss_D: -0.027695 Loss_G: 0.003315 Loss_D_real: -0.012149 Loss_D_fake 0.015545
[395/5000][10/535][40463] Loss_D: -0.029494 Loss_G: 0.025056 Loss_D_real: -0.022544 Loss_D_fake 0.006950
[395/5000][15/535][40464] Loss_D: -0.030877 Loss_G: 0.018256 Loss_D_real: -0.018507 Loss_D_fake 0.012370
[395/5000][20/535][40465] Loss_D: -0.029278 Loss_G: 0.007117 Loss_D_real: -0.008336 Loss_D_fake 0.020941
[395/5000][25/535][40466] Loss_D: -0.028468 Loss_G: 0.026156 Loss_D_real: -0.024874 Loss_D_fake 0.003594
[395/5000][30/535][40467] Loss_D: -0.028446 Loss_G: 0.029695 Loss_D_real: -0.035372 Loss_D_fake -0.006926
[395/5000][35/535][40468] Loss_D: -0.028958 Loss_G: 0.002654 Loss_D_real: -0.008960 Loss_D_fake 0.019998
[395/5000][40/535][40469] Loss_D: -0.029893 Loss_G: 0.015449 Loss_D_real: -0.011633 Loss_D_fake 0.018261
[395/5000][45/535][40470] Loss_D: -0.028788 Loss_G: 0.015094 Loss_D_real: -0.014441 Loss_D_fake 0.014347
[395/5000][50/535][40471] Loss_D: -0.031202 Loss_G: 0.018741 Loss_D_real: -0.028510 Loss_D_fake 0.002691
[395/5000][55/535][40472] Loss_D: -0.029509 Loss_G: 0.001514 Loss_D_real: -0.009767 Loss_D_fake 0.019742
[395/5000][60/535][40473] Loss_D: -0.028087 Loss_G: 0.033873 Loss_D_real: -0.037363 Loss_D_fake -0.009276
[395/5000][65/535][40474] Loss_D: -0.027748 Loss_G: 0.035900 Loss_D_real: -0.034212 Loss_D_fake -0.006464
[395/5000][70/535][40475] Loss_D: -0.027915 Loss_G: 0.019787 Loss_D_real: -0.021179 Loss_D_fake 0.006736
[395/5000][75/535][40476] Loss_D: -0.029079 Loss_G: 0.028307 Loss_D_real: -0.026074 Loss_D_fake 0.003005
[395/5000][80/535][40477] Loss_D: -0.029056 Loss_G: 0.004907 Loss_D_real: -0.009500 Loss_D_fake 0.019556
[395/5000][85/535][40478] Loss_D: -0.028576 Loss_G: 0.028182 Loss_D_real: -0.038583 Loss_D_fake -0.010007
[395/5000][90/535][40479] Loss_D: -0.028423 Loss_G: 0.012227 Loss_D_real: -0.014163 Loss_D_fake 0.014260
[395/5000][95/535][40480] Loss_D: -0.029931 Loss_G: -0.000182 Loss_D_real: -0.007078 Loss_D_fake 0.022853
[395/5000][100/535][40481] Loss_D: -0.028854 Loss_G: 0.009312 Loss_D_real: -0.015047 Loss_D_fake 0.013807
[395/5000][105/535][40482] Loss_D: -0.028932 Loss_G: 0.022544 Loss_D_real: -0.020490 Loss_D_fake 0.008442
[395/5000][110/535][40483] Loss_D: -0.026321 Loss_G: 0.040157 Loss_D_real: -0.038477 Loss_D_fake -0.012156
[395/5000][115/535][40484] Loss_D: -0.030552 Loss_G: -0.004075 Loss_D_real: -0.003803 Loss_D_fake 0.026748
[395/5000][120/535][40485] Loss_D: -0.030683 Loss_G: 0.030713 Loss_D_real: -0.032726 Loss_D_fake -0.002043
[395/5000][125/535][40486] Loss_D: -0.028989 Loss_G: 0.030254 Loss_D_real: -0.029106 Loss_D_fake -0.000117
[395/5000][130/535][40487] Loss_D: -0.029845 Loss_G: 0.018702 Loss_D_real: -0.016601 Loss_D_fake 0.013244
[395/5000][135/535][40488] Loss_D: -0.031914 Loss_G: 0.024138 Loss_D_real: -0.018900 Loss_D_fake 0.013013
[395/5000][140/535][40489] Loss_D: -0.029942 Loss_G: -0.004413 Loss_D_real: -0.008207 Loss_D_fake 0.021735
[395/5000][145/535][40490] Loss_D: -0.029607 Loss_G: 0.025647 Loss_D_real: -0.028171 Loss_D_fake 0.001435
[395/5000][150/535][40491] Loss_D: -0.030753 Loss_G: 0.012946 Loss_D_real: -0.010880 Loss_D_fake 0.019873
[395/5000][155/535][40492] Loss_D: -0.030234 Loss_G: 0.032905 Loss_D_real: -0.025593 Loss_D_fake 0.004641
[395/5000][160/535][40493] Loss_D: -0.030358 Loss_G: 0.016184 Loss_D_real: -0.014359 Loss_D_fake 0.015999
[395/5000][165/535][40494] Loss_D: -0.028867 Loss_G: -0.010001 Loss_D_real: -0.003030 Loss_D_fake 0.025837
[395/5000][170/535][40495] Loss_D: -0.029903 Loss_G: 0.014090 Loss_D_real: -0.018884 Loss_D_fake 0.011019
[395/5000][175/535][40496] Loss_D: -0.028750 Loss_G: 0.004218 Loss_D_real: -0.005719 Loss_D_fake 0.023031
[395/5000][180/535][40497] Loss_D: -0.028304 Loss_G: 0.036291 Loss_D_real: -0.029588 Loss_D_fake -0.001284
[395/5000][185/535][40498] Loss_D: -0.027370 Loss_G: -0.004735 Loss_D_real: -0.007606 Loss_D_fake 0.019764
[395/5000][190/535][40499] Loss_D: -0.026897 Loss_G: 0.042872 Loss_D_real: -0.031160 Loss_D_fake -0.004263
[395/5000][195/535][40500] Loss_D: -0.027868 Loss_G: 0.003875 Loss_D_real: -0.005977 Loss_D_fake 0.021891
[395/5000][295/535][40501] Loss_D: -0.030979 Loss_G: 0.005664 Loss_D_real: -0.007816 Loss_D_fake 0.023162
[395/5000][300/535][40502] Loss_D: -0.030001 Loss_G: 0.005959 Loss_D_real: -0.018506 Loss_D_fake 0.011495
[395/5000][305/535][40503] Loss_D: -0.026603 Loss_G: -0.002713 Loss_D_real: -0.002176 Loss_D_fake 0.024427
[395/5000][310/535][40504] Loss_D: -0.028380 Loss_G: 0.013341 Loss_D_real: -0.013350 Loss_D_fake 0.015030
[395/5000][315/535][40505] Loss_D: -0.028189 Loss_G: 0.018612 Loss_D_real: -0.018457 Loss_D_fake 0.009732
[395/5000][320/535][40506] Loss_D: -0.028956 Loss_G: 0.009803 Loss_D_real: -0.018790 Loss_D_fake 0.010166
[395/5000][325/535][40507] Loss_D: -0.028007 Loss_G: 0.014959 Loss_D_real: -0.012165 Loss_D_fake 0.015842
[395/5000][330/535][40508] Loss_D: -0.028263 Loss_G: 0.006518 Loss_D_real: -0.019018 Loss_D_fake 0.009245
[395/5000][335/535][40509] Loss_D: -0.028668 Loss_G: 0.018513 Loss_D_real: -0.014272 Loss_D_fake 0.014396
[395/5000][340/535][40510] Loss_D: -0.029752 Loss_G: 0.026194 Loss_D_real: -0.026487 Loss_D_fake 0.003266
[395/5000][345/535][40511] Loss_D: -0.027743 Loss_G: 0.012769 Loss_D_real: -0.019558 Loss_D_fake 0.008185
[395/5000][350/535][40512] Loss_D: -0.028873 Loss_G: 0.030066 Loss_D_real: -0.027323 Loss_D_fake 0.001551
[395/5000][355/535][40513] Loss_D: -0.029961 Loss_G: 0.015897 Loss_D_real: -0.018773 Loss_D_fake 0.011188
[395/5000][360/535][40514] Loss_D: -0.029663 Loss_G: 0.016303 Loss_D_real: -0.018271 Loss_D_fake 0.011392
[395/5000][365/535][40515] Loss_D: -0.027177 Loss_G: 0.032607 Loss_D_real: -0.030553 Loss_D_fake -0.003376
[395/5000][370/535][40516] Loss_D: -0.029415 Loss_G: 0.002083 Loss_D_real: -0.005093 Loss_D_fake 0.024322
[395/5000][375/535][40517] Loss_D: -0.028581 Loss_G: 0.024761 Loss_D_real: -0.034821 Loss_D_fake -0.006240
[395/5000][380/535][40518] Loss_D: -0.028487 Loss_G: 0.021376 Loss_D_real: -0.024982 Loss_D_fake 0.003506
[395/5000][385/535][40519] Loss_D: -0.028593 Loss_G: 0.035878 Loss_D_real: -0.034698 Loss_D_fake -0.006106
[395/5000][390/535][40520] Loss_D: -0.029188 Loss_G: 0.009340 Loss_D_real: -0.019466 Loss_D_fake 0.009722
[395/5000][395/535][40521] Loss_D: -0.029565 Loss_G: 0.014168 Loss_D_real: -0.033410 Loss_D_fake -0.003845
[395/5000][400/535][40522] Loss_D: -0.028722 Loss_G: 0.006060 Loss_D_real: -0.005790 Loss_D_fake 0.022932
[395/5000][405/535][40523] Loss_D: -0.029977 Loss_G: 0.027101 Loss_D_real: -0.022331 Loss_D_fake 0.007646
[395/5000][410/535][40524] Loss_D: -0.028339 Loss_G: -0.002627 Loss_D_real: -0.006677 Loss_D_fake 0.021662
[395/5000][415/535][40525] Loss_D: -0.028118 Loss_G: 0.007562 Loss_D_real: -0.012333 Loss_D_fake 0.015785
[395/5000][420/535][40526] Loss_D: -0.028238 Loss_G: 0.011540 Loss_D_real: -0.015298 Loss_D_fake 0.012940
[395/5000][425/535][40527] Loss_D: -0.027865 Loss_G: -0.003578 Loss_D_real: -0.007716 Loss_D_fake 0.020149
[395/5000][430/535][40528] Loss_D: -0.029165 Loss_G: 0.008623 Loss_D_real: -0.017296 Loss_D_fake 0.011869
[395/5000][435/535][40529] Loss_D: -0.029438 Loss_G: 0.020269 Loss_D_real: -0.022041 Loss_D_fake 0.007397
[395/5000][440/535][40530] Loss_D: -0.029597 Loss_G: 0.019325 Loss_D_real: -0.018924 Loss_D_fake 0.010673
[395/5000][445/535][40531] Loss_D: -0.030052 Loss_G: 0.013199 Loss_D_real: -0.013627 Loss_D_fake 0.016425
[395/5000][450/535][40532] Loss_D: -0.029849 Loss_G: 0.024009 Loss_D_real: -0.035140 Loss_D_fake -0.005291
[395/5000][455/535][40533] Loss_D: -0.028318 Loss_G: 0.034879 Loss_D_real: -0.033120 Loss_D_fake -0.004802
[395/5000][460/535][40534] Loss_D: -0.028769 Loss_G: 0.007448 Loss_D_real: -0.006870 Loss_D_fake 0.021899
[395/5000][465/535][40535] Loss_D: -0.027865 Loss_G: 0.038463 Loss_D_real: -0.036738 Loss_D_fake -0.008873
[395/5000][470/535][40536] Loss_D: -0.030407 Loss_G: 0.001350 Loss_D_real: -0.006745 Loss_D_fake 0.023662
[395/5000][475/535][40537] Loss_D: -0.028653 Loss_G: 0.037587 Loss_D_real: -0.035477 Loss_D_fake -0.006824
[395/5000][480/535][40538] Loss_D: -0.029343 Loss_G: 0.027805 Loss_D_real: -0.036670 Loss_D_fake -0.007327
[395/5000][485/535][40539] Loss_D: -0.028934 Loss_G: -0.005032 Loss_D_real: -0.000337 Loss_D_fake 0.028597
[395/5000][490/535][40540] Loss_D: -0.027260 Loss_G: 0.025359 Loss_D_real: -0.040017 Loss_D_fake -0.012757
[395/5000][495/535][40541] Loss_D: -0.029734 Loss_G: 0.011895 Loss_D_real: -0.009936 Loss_D_fake 0.019799
[395/5000][500/535][40542] Loss_D: -0.028880 Loss_G: 0.021415 Loss_D_real: -0.026522 Loss_D_fake 0.002358
[395/5000][505/535][40543] Loss_D: -0.030019 Loss_G: 0.016289 Loss_D_real: -0.017438 Loss_D_fake 0.012581
[395/5000][510/535][40544] Loss_D: -0.028514 Loss_G: 0.023453 Loss_D_real: -0.026556 Loss_D_fake 0.001958
[395/5000][515/535][40545] Loss_D: -0.028322 Loss_G: 0.003160 Loss_D_real: -0.010506 Loss_D_fake 0.017817
[395/5000][520/535][40546] Loss_D: -0.028768 Loss_G: 0.023103 Loss_D_real: -0.030356 Loss_D_fake -0.001589
[395/5000][525/535][40547] Loss_D: -0.028787 Loss_G: -0.008078 Loss_D_real: -0.004304 Loss_D_fake 0.024483
[395/5000][530/535][40548] Loss_D: -0.028053 Loss_G: 0.018502 Loss_D_real: -0.022708 Loss_D_fake 0.005346
[395/5000][535/535][40549] Loss_D: -0.025123 Loss_G: 0.018898 Loss_D_real: -0.032105 Loss_D_fake -0.006982
[396/5000][5/535][40550] Loss_D: -0.030923 Loss_G: 0.007034 Loss_D_real: -0.013799 Loss_D_fake 0.017124
[396/5000][10/535][40551] Loss_D: -0.027640 Loss_G: 0.034708 Loss_D_real: -0.036198 Loss_D_fake -0.008559
[396/5000][15/535][40552] Loss_D: -0.028767 Loss_G: 0.016984 Loss_D_real: -0.019787 Loss_D_fake 0.008980
[396/5000][20/535][40553] Loss_D: -0.029734 Loss_G: 0.017175 Loss_D_real: -0.019014 Loss_D_fake 0.010720
[396/5000][25/535][40554] Loss_D: -0.027667 Loss_G: 0.027079 Loss_D_real: -0.034678 Loss_D_fake -0.007011
[396/5000][30/535][40555] Loss_D: -0.029614 Loss_G: 0.011141 Loss_D_real: -0.017271 Loss_D_fake 0.012343
[396/5000][35/535][40556] Loss_D: -0.030132 Loss_G: 0.012756 Loss_D_real: -0.021873 Loss_D_fake 0.008260
[396/5000][40/535][40557] Loss_D: -0.029691 Loss_G: -0.013909 Loss_D_real: -0.000950 Loss_D_fake 0.028740
[396/5000][45/535][40558] Loss_D: -0.028974 Loss_G: 0.029429 Loss_D_real: -0.025126 Loss_D_fake 0.003848
[396/5000][50/535][40559] Loss_D: -0.027984 Loss_G: -0.000426 Loss_D_real: -0.008572 Loss_D_fake 0.019412
[396/5000][55/535][40560] Loss_D: -0.029306 Loss_G: 0.022720 Loss_D_real: -0.022546 Loss_D_fake 0.006760
[396/5000][60/535][40561] Loss_D: -0.028862 Loss_G: -0.012640 Loss_D_real: 0.001102 Loss_D_fake 0.029964
[396/5000][65/535][40562] Loss_D: -0.028052 Loss_G: 0.021264 Loss_D_real: -0.033760 Loss_D_fake -0.005708
[396/5000][70/535][40563] Loss_D: -0.028501 Loss_G: 0.002887 Loss_D_real: 0.001051 Loss_D_fake 0.029553
[396/5000][75/535][40564] Loss_D: -0.030034 Loss_G: 0.021689 Loss_D_real: -0.017540 Loss_D_fake 0.012494
[396/5000][80/535][40565] Loss_D: -0.028504 Loss_G: 0.022281 Loss_D_real: -0.023155 Loss_D_fake 0.005349
[396/5000][85/535][40566] Loss_D: -0.028810 Loss_G: -0.000120 Loss_D_real: -0.003694 Loss_D_fake 0.025116
[396/5000][90/535][40567] Loss_D: -0.029970 Loss_G: 0.011420 Loss_D_real: -0.011406 Loss_D_fake 0.018565
[396/5000][95/535][40568] Loss_D: -0.029829 Loss_G: 0.011063 Loss_D_real: -0.021175 Loss_D_fake 0.008654
[396/5000][100/535][40569] Loss_D: -0.028380 Loss_G: 0.014918 Loss_D_real: -0.027980 Loss_D_fake 0.000399
[396/5000][105/535][40570] Loss_D: -0.029393 Loss_G: 0.025173 Loss_D_real: -0.025263 Loss_D_fake 0.004130
[396/5000][110/535][40571] Loss_D: -0.029970 Loss_G: 0.019614 Loss_D_real: -0.024005 Loss_D_fake 0.005965
[396/5000][115/535][40572] Loss_D: -0.029064 Loss_G: 0.015068 Loss_D_real: -0.022931 Loss_D_fake 0.006133
[396/5000][120/535][40573] Loss_D: -0.029213 Loss_G: -0.003017 Loss_D_real: -0.011572 Loss_D_fake 0.017642
[396/5000][125/535][40574] Loss_D: -0.029247 Loss_G: 0.005526 Loss_D_real: -0.017814 Loss_D_fake 0.011432
[396/5000][130/535][40575] Loss_D: -0.031127 Loss_G: 0.009964 Loss_D_real: -0.009416 Loss_D_fake 0.021711
[396/5000][135/535][40576] Loss_D: -0.029282 Loss_G: 0.005125 Loss_D_real: -0.010944 Loss_D_fake 0.018338
[396/5000][140/535][40577] Loss_D: -0.029260 Loss_G: -0.000896 Loss_D_real: -0.005282 Loss_D_fake 0.023978
[396/5000][145/535][40578] Loss_D: -0.029418 Loss_G: -0.002880 Loss_D_real: -0.011506 Loss_D_fake 0.017912
[396/5000][150/535][40579] Loss_D: -0.029591 Loss_G: 0.019537 Loss_D_real: -0.022911 Loss_D_fake 0.006680
[396/5000][155/535][40580] Loss_D: -0.030944 Loss_G: 0.014149 Loss_D_real: -0.021054 Loss_D_fake 0.009891
[396/5000][160/535][40581] Loss_D: -0.030277 Loss_G: -0.002334 Loss_D_real: -0.004974 Loss_D_fake 0.025302
[396/5000][165/535][40582] Loss_D: -0.029442 Loss_G: 0.036741 Loss_D_real: -0.035648 Loss_D_fake -0.006206
[396/5000][170/535][40583] Loss_D: -0.029316 Loss_G: 0.026961 Loss_D_real: -0.026961 Loss_D_fake 0.002355
[396/5000][175/535][40584] Loss_D: -0.030872 Loss_G: 0.017134 Loss_D_real: -0.011971 Loss_D_fake 0.018902
[396/5000][180/535][40585] Loss_D: -0.029230 Loss_G: 0.031993 Loss_D_real: -0.023529 Loss_D_fake 0.005701
[396/5000][185/535][40586] Loss_D: -0.027558 Loss_G: -0.002710 Loss_D_real: -0.002605 Loss_D_fake 0.024953
[396/5000][190/535][40587] Loss_D: -0.027769 Loss_G: 0.016662 Loss_D_real: -0.023592 Loss_D_fake 0.004177
[396/5000][195/535][40588] Loss_D: -0.029406 Loss_G: 0.018492 Loss_D_real: -0.018311 Loss_D_fake 0.011095
[396/5000][200/535][40589] Loss_D: -0.028781 Loss_G: 0.021816 Loss_D_real: -0.027871 Loss_D_fake 0.000910
[396/5000][205/535][40590] Loss_D: -0.030803 Loss_G: 0.016793 Loss_D_real: -0.015079 Loss_D_fake 0.015724
[396/5000][210/535][40591] Loss_D: -0.029575 Loss_G: 0.002288 Loss_D_real: -0.009597 Loss_D_fake 0.019978
[396/5000][215/535][40592] Loss_D: -0.027573 Loss_G: 0.016947 Loss_D_real: -0.019353 Loss_D_fake 0.008220
[396/5000][220/535][40593] Loss_D: -0.027765 Loss_G: -0.001777 Loss_D_real: -0.018363 Loss_D_fake 0.009402
[396/5000][225/535][40594] Loss_D: -0.028350 Loss_G: 0.004494 Loss_D_real: -0.014175 Loss_D_fake 0.014175
[396/5000][230/535][40595] Loss_D: -0.028814 Loss_G: 0.026763 Loss_D_real: -0.023709 Loss_D_fake 0.005105
[396/5000][235/535][40596] Loss_D: -0.028608 Loss_G: 0.016800 Loss_D_real: -0.019080 Loss_D_fake 0.009528
[396/5000][240/535][40597] Loss_D: -0.028854 Loss_G: 0.025465 Loss_D_real: -0.023248 Loss_D_fake 0.005606
[396/5000][245/535][40598] Loss_D: -0.028064 Loss_G: 0.026245 Loss_D_real: -0.039364 Loss_D_fake -0.011300
[396/5000][250/535][40599] Loss_D: -0.029278 Loss_G: 0.011578 Loss_D_real: -0.020915 Loss_D_fake 0.008363
[396/5000][255/535][40600] Loss_D: -0.030246 Loss_G: 0.019110 Loss_D_real: -0.012082 Loss_D_fake 0.018164
[396/5000][260/535][40601] Loss_D: -0.029558 Loss_G: 0.007013 Loss_D_real: -0.003243 Loss_D_fake 0.026316
[396/5000][265/535][40602] Loss_D: -0.029042 Loss_G: -0.002827 Loss_D_real: -0.017191 Loss_D_fake 0.011851
[396/5000][270/535][40603] Loss_D: -0.027980 Loss_G: 0.035198 Loss_D_real: -0.019723 Loss_D_fake 0.008257
[396/5000][275/535][40604] Loss_D: -0.029302 Loss_G: 0.016835 Loss_D_real: -0.021052 Loss_D_fake 0.008250
[396/5000][280/535][40605] Loss_D: -0.028680 Loss_G: -0.025982 Loss_D_real: 0.000841 Loss_D_fake 0.029521
[396/5000][285/535][40606] Loss_D: -0.027776 Loss_G: 0.015562 Loss_D_real: -0.016027 Loss_D_fake 0.011749
[396/5000][290/535][40607] Loss_D: -0.027284 Loss_G: 0.007395 Loss_D_real: -0.010923 Loss_D_fake 0.016361
[396/5000][295/535][40608] Loss_D: -0.028087 Loss_G: 0.002161 Loss_D_real: -0.008914 Loss_D_fake 0.019173
[396/5000][300/535][40609] Loss_D: -0.026806 Loss_G: 0.039287 Loss_D_real: -0.038888 Loss_D_fake -0.012083
[396/5000][305/535][40610] Loss_D: -0.029378 Loss_G: 0.008273 Loss_D_real: -0.014242 Loss_D_fake 0.015136
[396/5000][310/535][40611] Loss_D: -0.028071 Loss_G: 0.022438 Loss_D_real: -0.028019 Loss_D_fake 0.000051
[396/5000][315/535][40612] Loss_D: -0.029588 Loss_G: 0.020357 Loss_D_real: -0.014884 Loss_D_fake 0.014703
[396/5000][320/535][40613] Loss_D: -0.027953 Loss_G: -0.007131 Loss_D_real: -0.002685 Loss_D_fake 0.025268
[396/5000][325/535][40614] Loss_D: -0.027358 Loss_G: 0.025625 Loss_D_real: -0.031752 Loss_D_fake -0.004393
[396/5000][330/535][40615] Loss_D: -0.027858 Loss_G: 0.004610 Loss_D_real: -0.008770 Loss_D_fake 0.019088
[396/5000][335/535][40616] Loss_D: -0.027293 Loss_G: 0.001674 Loss_D_real: -0.013698 Loss_D_fake 0.013595
[396/5000][340/535][40617] Loss_D: -0.028699 Loss_G: 0.015788 Loss_D_real: -0.014151 Loss_D_fake 0.014548
[396/5000][345/535][40618] Loss_D: -0.028321 Loss_G: -0.002816 Loss_D_real: -0.002168 Loss_D_fake 0.026153
[396/5000][350/535][40619] Loss_D: -0.027225 Loss_G: 0.026673 Loss_D_real: -0.032202 Loss_D_fake -0.004976
[396/5000][355/535][40620] Loss_D: -0.029317 Loss_G: 0.011824 Loss_D_real: -0.022228 Loss_D_fake 0.007088
[396/5000][360/535][40621] Loss_D: -0.030056 Loss_G: 0.023155 Loss_D_real: -0.023661 Loss_D_fake 0.006395
[396/5000][365/535][40622] Loss_D: -0.030965 Loss_G: 0.020619 Loss_D_real: -0.018950 Loss_D_fake 0.012015
[396/5000][370/535][40623] Loss_D: -0.029834 Loss_G: 0.019880 Loss_D_real: -0.016759 Loss_D_fake 0.013075
[396/5000][375/535][40624] Loss_D: -0.032256 Loss_G: 0.011885 Loss_D_real: -0.020892 Loss_D_fake 0.011364
[396/5000][380/535][40625] Loss_D: -0.029460 Loss_G: 0.013782 Loss_D_real: -0.023071 Loss_D_fake 0.006389
[396/5000][385/535][40626] Loss_D: -0.028675 Loss_G: 0.033218 Loss_D_real: -0.037045 Loss_D_fake -0.008370
[396/5000][390/535][40627] Loss_D: -0.030148 Loss_G: 0.021944 Loss_D_real: -0.021478 Loss_D_fake 0.008671
[396/5000][395/535][40628] Loss_D: -0.029165 Loss_G: -0.005859 Loss_D_real: -0.005985 Loss_D_fake 0.023180
[396/5000][400/535][40629] Loss_D: -0.027795 Loss_G: 0.016541 Loss_D_real: -0.022644 Loss_D_fake 0.005151
[396/5000][405/535][40630] Loss_D: -0.030335 Loss_G: 0.010175 Loss_D_real: -0.009995 Loss_D_fake 0.020339
[396/5000][410/535][40631] Loss_D: -0.028547 Loss_G: 0.041039 Loss_D_real: -0.035956 Loss_D_fake -0.007409
[396/5000][415/535][40632] Loss_D: -0.029531 Loss_G: -0.010467 Loss_D_real: 0.003846 Loss_D_fake 0.033377
[396/5000][420/535][40633] Loss_D: -0.027342 Loss_G: 0.006562 Loss_D_real: -0.009930 Loss_D_fake 0.017411
[396/5000][425/535][40634] Loss_D: -0.027657 Loss_G: 0.004709 Loss_D_real: -0.003472 Loss_D_fake 0.024185
[396/5000][430/535][40635] Loss_D: -0.028445 Loss_G: 0.022621 Loss_D_real: -0.020286 Loss_D_fake 0.008158
[396/5000][435/535][40636] Loss_D: -0.029623 Loss_G: 0.014533 Loss_D_real: -0.012554 Loss_D_fake 0.017070
[396/5000][440/535][40637] Loss_D: -0.027394 Loss_G: -0.009660 Loss_D_real: -0.005710 Loss_D_fake 0.021684
[396/5000][445/535][40638] Loss_D: -0.027468 Loss_G: 0.019602 Loss_D_real: -0.022663 Loss_D_fake 0.004805
[396/5000][450/535][40639] Loss_D: -0.028212 Loss_G: -0.002142 Loss_D_real: -0.003111 Loss_D_fake 0.025101
[396/5000][455/535][40640] Loss_D: -0.028462 Loss_G: 0.007351 Loss_D_real: -0.013071 Loss_D_fake 0.015391
[396/5000][460/535][40641] Loss_D: -0.030678 Loss_G: 0.017920 Loss_D_real: -0.024363 Loss_D_fake 0.006314
[396/5000][465/535][40642] Loss_D: -0.031236 Loss_G: -0.000834 Loss_D_real: -0.007872 Loss_D_fake 0.023364
[396/5000][470/535][40643] Loss_D: -0.029964 Loss_G: 0.020339 Loss_D_real: -0.019917 Loss_D_fake 0.010047
[396/5000][475/535][40644] Loss_D: -0.031014 Loss_G: 0.040659 Loss_D_real: -0.025893 Loss_D_fake 0.005121
[396/5000][480/535][40645] Loss_D: -0.028257 Loss_G: 0.001650 Loss_D_real: -0.009136 Loss_D_fake 0.019120
[396/5000][485/535][40646] Loss_D: -0.029439 Loss_G: 0.010442 Loss_D_real: -0.014688 Loss_D_fake 0.014751
[396/5000][490/535][40647] Loss_D: -0.029987 Loss_G: 0.010162 Loss_D_real: -0.018269 Loss_D_fake 0.011719
[396/5000][495/535][40648] Loss_D: -0.027681 Loss_G: 0.041628 Loss_D_real: -0.037833 Loss_D_fake -0.010153
[396/5000][500/535][40649] Loss_D: -0.029563 Loss_G: 0.027370 Loss_D_real: -0.018826 Loss_D_fake 0.010737
[396/5000][505/535][40650] Loss_D: -0.029798 Loss_G: 0.026015 Loss_D_real: -0.029939 Loss_D_fake -0.000140
[396/5000][510/535][40651] Loss_D: -0.026453 Loss_G: -0.024535 Loss_D_real: 0.008217 Loss_D_fake 0.034669
[396/5000][515/535][40652] Loss_D: -0.028137 Loss_G: 0.006254 Loss_D_real: -0.014427 Loss_D_fake 0.013711
[396/5000][520/535][40653] Loss_D: -0.028866 Loss_G: 0.013290 Loss_D_real: -0.015219 Loss_D_fake 0.013647
[396/5000][525/535][40654] Loss_D: -0.027645 Loss_G: 0.026388 Loss_D_real: -0.030425 Loss_D_fake -0.002780
[396/5000][530/535][40655] Loss_D: -0.028758 Loss_G: 0.002439 Loss_D_real: -0.001407 Loss_D_fake 0.027352
[396/5000][535/535][40656] Loss_D: -0.030198 Loss_G: 0.024654 Loss_D_real: -0.013322 Loss_D_fake 0.016877
[397/5000][5/535][40657] Loss_D: -0.029247 Loss_G: 0.024464 Loss_D_real: -0.031368 Loss_D_fake -0.002121
[397/5000][10/535][40658] Loss_D: -0.029651 Loss_G: 0.015980 Loss_D_real: -0.012746 Loss_D_fake 0.016905
[397/5000][15/535][40659] Loss_D: -0.028686 Loss_G: 0.037031 Loss_D_real: -0.030929 Loss_D_fake -0.002243
[397/5000][20/535][40660] Loss_D: -0.026934 Loss_G: 0.013649 Loss_D_real: -0.017163 Loss_D_fake 0.009771
[397/5000][25/535][40661] Loss_D: -0.028500 Loss_G: 0.028350 Loss_D_real: -0.033602 Loss_D_fake -0.005103
[397/5000][30/535][40662] Loss_D: -0.029402 Loss_G: -0.006433 Loss_D_real: -0.006015 Loss_D_fake 0.023388
[397/5000][35/535][40663] Loss_D: -0.028745 Loss_G: 0.028869 Loss_D_real: -0.027490 Loss_D_fake 0.001255
[397/5000][40/535][40664] Loss_D: -0.030111 Loss_G: 0.018856 Loss_D_real: -0.019222 Loss_D_fake 0.010889
[397/5000][45/535][40665] Loss_D: -0.026536 Loss_G: 0.039712 Loss_D_real: -0.036163 Loss_D_fake -0.009627
[397/5000][50/535][40666] Loss_D: -0.029718 Loss_G: -0.005847 Loss_D_real: -0.006838 Loss_D_fake 0.022880
[397/5000][55/535][40667] Loss_D: -0.029860 Loss_G: 0.018288 Loss_D_real: -0.025919 Loss_D_fake 0.003941
[397/5000][60/535][40668] Loss_D: -0.029509 Loss_G: 0.013637 Loss_D_real: -0.018807 Loss_D_fake 0.010701
[397/5000][65/535][40669] Loss_D: -0.028304 Loss_G: 0.011126 Loss_D_real: -0.012955 Loss_D_fake 0.015348
[397/5000][70/535][40670] Loss_D: -0.028903 Loss_G: 0.012356 Loss_D_real: -0.014673 Loss_D_fake 0.014230
[397/5000][75/535][40671] Loss_D: -0.028657 Loss_G: 0.020012 Loss_D_real: -0.027941 Loss_D_fake 0.000716
[397/5000][80/535][40672] Loss_D: -0.029131 Loss_G: 0.020876 Loss_D_real: -0.020301 Loss_D_fake 0.008830
[397/5000][85/535][40673] Loss_D: -0.027786 Loss_G: 0.026670 Loss_D_real: -0.027640 Loss_D_fake 0.000146
[397/5000][90/535][40674] Loss_D: -0.029078 Loss_G: -0.000792 Loss_D_real: -0.004937 Loss_D_fake 0.024141
[397/5000][95/535][40675] Loss_D: -0.027445 Loss_G: 0.016365 Loss_D_real: -0.023426 Loss_D_fake 0.004019
[397/5000][100/535][40676] Loss_D: -0.028407 Loss_G: -0.000423 Loss_D_real: -0.008427 Loss_D_fake 0.019980
[397/5000][105/535][40677] Loss_D: -0.028275 Loss_G: 0.011075 Loss_D_real: -0.007661 Loss_D_fake 0.020614
[397/5000][110/535][40678] Loss_D: -0.029483 Loss_G: 0.014521 Loss_D_real: -0.014990 Loss_D_fake 0.014493
[397/5000][115/535][40679] Loss_D: -0.028849 Loss_G: 0.022567 Loss_D_real: -0.019820 Loss_D_fake 0.009029
[397/5000][120/535][40680] Loss_D: -0.028954 Loss_G: 0.008395 Loss_D_real: -0.013010 Loss_D_fake 0.015944
[397/5000][125/535][40681] Loss_D: -0.029965 Loss_G: 0.014107 Loss_D_real: -0.014171 Loss_D_fake 0.015794
[397/5000][130/535][40682] Loss_D: -0.026674 Loss_G: 0.033627 Loss_D_real: -0.037562 Loss_D_fake -0.010888
[397/5000][135/535][40683] Loss_D: -0.028140 Loss_G: 0.019806 Loss_D_real: -0.019662 Loss_D_fake 0.008478
[397/5000][140/535][40684] Loss_D: -0.028670 Loss_G: 0.023214 Loss_D_real: -0.027121 Loss_D_fake 0.001548
[397/5000][145/535][40685] Loss_D: -0.029235 Loss_G: 0.036820 Loss_D_real: -0.039916 Loss_D_fake -0.010682
[397/5000][150/535][40686] Loss_D: -0.028726 Loss_G: -0.006937 Loss_D_real: -0.001815 Loss_D_fake 0.026911
[397/5000][155/535][40687] Loss_D: -0.027663 Loss_G: 0.026635 Loss_D_real: -0.025351 Loss_D_fake 0.002311
[397/5000][160/535][40688] Loss_D: -0.028734 Loss_G: -0.004149 Loss_D_real: 0.000372 Loss_D_fake 0.029106
[397/5000][165/535][40689] Loss_D: -0.027337 Loss_G: 0.016823 Loss_D_real: -0.017933 Loss_D_fake 0.009404
[397/5000][170/535][40690] Loss_D: -0.028412 Loss_G: 0.019900 Loss_D_real: -0.020306 Loss_D_fake 0.008107
[397/5000][175/535][40691] Loss_D: -0.028602 Loss_G: 0.034336 Loss_D_real: -0.021555 Loss_D_fake 0.007047
[397/5000][180/535][40692] Loss_D: -0.029014 Loss_G: -0.003611 Loss_D_real: -0.004821 Loss_D_fake 0.024193
[397/5000][185/535][40693] Loss_D: -0.029125 Loss_G: 0.029497 Loss_D_real: -0.026439 Loss_D_fake 0.002687
[397/5000][190/535][40694] Loss_D: -0.029442 Loss_G: 0.004851 Loss_D_real: -0.021888 Loss_D_fake 0.007553
[397/5000][195/535][40695] Loss_D: -0.028870 Loss_G: 0.019252 Loss_D_real: -0.015541 Loss_D_fake 0.013329
[397/5000][200/535][40696] Loss_D: -0.030509 Loss_G: 0.002174 Loss_D_real: -0.017122 Loss_D_fake 0.013387
[397/5000][205/535][40697] Loss_D: -0.030009 Loss_G: 0.027867 Loss_D_real: -0.033238 Loss_D_fake -0.003229
[397/5000][210/535][40698] Loss_D: -0.028711 Loss_G: 0.010444 Loss_D_real: -0.005922 Loss_D_fake 0.022789
[397/5000][215/535][40699] Loss_D: -0.029353 Loss_G: 0.028804 Loss_D_real: -0.026731 Loss_D_fake 0.002623
[397/5000][220/535][40700] Loss_D: -0.029378 Loss_G: -0.000073 Loss_D_real: -0.003584 Loss_D_fake 0.025795
[397/5000][225/535][40701] Loss_D: -0.028881 Loss_G: -0.000895 Loss_D_real: -0.015764 Loss_D_fake 0.013117
[397/5000][230/535][40702] Loss_D: -0.028656 Loss_G: 0.031037 Loss_D_real: -0.023724 Loss_D_fake 0.004932
[397/5000][235/535][40703] Loss_D: -0.028459 Loss_G: 0.005617 Loss_D_real: -0.006304 Loss_D_fake 0.022155
[397/5000][240/535][40704] Loss_D: -0.029951 Loss_G: 0.009452 Loss_D_real: -0.014581 Loss_D_fake 0.015371
[397/5000][245/535][40705] Loss_D: -0.027128 Loss_G: 0.038186 Loss_D_real: -0.030576 Loss_D_fake -0.003448
[397/5000][250/535][40706] Loss_D: -0.028230 Loss_G: 0.008456 Loss_D_real: -0.005098 Loss_D_fake 0.023132
[397/5000][255/535][40707] Loss_D: -0.028467 Loss_G: 0.017378 Loss_D_real: -0.018752 Loss_D_fake 0.009715
[397/5000][260/535][40708] Loss_D: -0.029061 Loss_G: 0.024724 Loss_D_real: -0.030906 Loss_D_fake -0.001846
[397/5000][265/535][40709] Loss_D: -0.027442 Loss_G: 0.031290 Loss_D_real: -0.031200 Loss_D_fake -0.003758
[397/5000][270/535][40710] Loss_D: -0.029094 Loss_G: 0.012347 Loss_D_real: -0.017450 Loss_D_fake 0.011644
[397/5000][275/535][40711] Loss_D: -0.029036 Loss_G: 0.027623 Loss_D_real: -0.025926 Loss_D_fake 0.003110
[397/5000][280/535][40712] Loss_D: -0.030682 Loss_G: 0.012540 Loss_D_real: -0.020840 Loss_D_fake 0.009842
[397/5000][285/535][40713] Loss_D: -0.028302 Loss_G: 0.013224 Loss_D_real: -0.022141 Loss_D_fake 0.006161
[397/5000][290/535][40714] Loss_D: -0.030341 Loss_G: 0.015564 Loss_D_real: -0.020988 Loss_D_fake 0.009352
[397/5000][295/535][40715] Loss_D: -0.028779 Loss_G: 0.000641 Loss_D_real: -0.009760 Loss_D_fake 0.019020
[397/5000][300/535][40716] Loss_D: -0.028022 Loss_G: -0.003699 Loss_D_real: -0.006211 Loss_D_fake 0.021812
[397/5000][305/535][40717] Loss_D: -0.027269 Loss_G: -0.012457 Loss_D_real: 0.000832 Loss_D_fake 0.028101
[397/5000][310/535][40718] Loss_D: -0.028063 Loss_G: 0.017825 Loss_D_real: -0.021086 Loss_D_fake 0.006977
[397/5000][315/535][40719] Loss_D: -0.028774 Loss_G: 0.030365 Loss_D_real: -0.023165 Loss_D_fake 0.005609
[397/5000][320/535][40720] Loss_D: -0.029170 Loss_G: 0.001562 Loss_D_real: -0.005507 Loss_D_fake 0.023663
[397/5000][325/535][40721] Loss_D: -0.029067 Loss_G: 0.019704 Loss_D_real: -0.021715 Loss_D_fake 0.007352
[397/5000][330/535][40722] Loss_D: -0.028399 Loss_G: 0.012831 Loss_D_real: -0.010612 Loss_D_fake 0.017788
[397/5000][335/535][40723] Loss_D: -0.028880 Loss_G: 0.019533 Loss_D_real: -0.021289 Loss_D_fake 0.007590
[397/5000][340/535][40724] Loss_D: -0.028876 Loss_G: -0.005915 Loss_D_real: -0.017171 Loss_D_fake 0.011706
[397/5000][345/535][40725] Loss_D: -0.026424 Loss_G: 0.025608 Loss_D_real: -0.031564 Loss_D_fake -0.005140
[397/5000][350/535][40726] Loss_D: -0.029526 Loss_G: 0.015494 Loss_D_real: -0.019633 Loss_D_fake 0.009893
[397/5000][355/535][40727] Loss_D: -0.029015 Loss_G: 0.023326 Loss_D_real: -0.022894 Loss_D_fake 0.006121
[397/5000][360/535][40728] Loss_D: -0.028659 Loss_G: 0.030322 Loss_D_real: -0.025068 Loss_D_fake 0.003591
[397/5000][365/535][40729] Loss_D: -0.028868 Loss_G: 0.014950 Loss_D_real: -0.018646 Loss_D_fake 0.010222
[397/5000][370/535][40730] Loss_D: -0.027809 Loss_G: 0.022093 Loss_D_real: -0.028970 Loss_D_fake -0.001161
[397/5000][375/535][40731] Loss_D: -0.029615 Loss_G: -0.001517 Loss_D_real: -0.009183 Loss_D_fake 0.020432
[397/5000][380/535][40732] Loss_D: -0.030444 Loss_G: -0.003655 Loss_D_real: -0.009701 Loss_D_fake 0.020744
[397/5000][385/535][40733] Loss_D: -0.028821 Loss_G: 0.033478 Loss_D_real: -0.026841 Loss_D_fake 0.001980
[397/5000][390/535][40734] Loss_D: -0.029026 Loss_G: 0.008827 Loss_D_real: -0.023119 Loss_D_fake 0.005908
[397/5000][395/535][40735] Loss_D: -0.030429 Loss_G: 0.012993 Loss_D_real: -0.025476 Loss_D_fake 0.004952
[397/5000][400/535][40736] Loss_D: -0.030107 Loss_G: 0.016439 Loss_D_real: -0.022381 Loss_D_fake 0.007726
[397/5000][405/535][40737] Loss_D: -0.028809 Loss_G: 0.020795 Loss_D_real: -0.025525 Loss_D_fake 0.003284
[397/5000][410/535][40738] Loss_D: -0.027581 Loss_G: 0.025243 Loss_D_real: -0.022113 Loss_D_fake 0.005467
[397/5000][415/535][40739] Loss_D: -0.029293 Loss_G: 0.013184 Loss_D_real: -0.023324 Loss_D_fake 0.005969
[397/5000][420/535][40740] Loss_D: -0.028392 Loss_G: 0.031516 Loss_D_real: -0.034216 Loss_D_fake -0.005823
[397/5000][425/535][40741] Loss_D: -0.027944 Loss_G: 0.007439 Loss_D_real: 0.007476 Loss_D_fake 0.035420
[397/5000][430/535][40742] Loss_D: -0.028783 Loss_G: 0.026711 Loss_D_real: -0.027669 Loss_D_fake 0.001114
[397/5000][435/535][40743] Loss_D: -0.029548 Loss_G: 0.029167 Loss_D_real: -0.028887 Loss_D_fake 0.000661
[397/5000][440/535][40744] Loss_D: -0.029693 Loss_G: -0.008187 Loss_D_real: -0.004784 Loss_D_fake 0.024909
[397/5000][445/535][40745] Loss_D: -0.029430 Loss_G: 0.002936 Loss_D_real: -0.014700 Loss_D_fake 0.014729
[397/5000][450/535][40746] Loss_D: -0.028612 Loss_G: 0.009789 Loss_D_real: -0.015245 Loss_D_fake 0.013367
[397/5000][455/535][40747] Loss_D: -0.029027 Loss_G: 0.005047 Loss_D_real: -0.009684 Loss_D_fake 0.019343
[397/5000][460/535][40748] Loss_D: -0.030232 Loss_G: 0.029426 Loss_D_real: -0.023405 Loss_D_fake 0.006828
[397/5000][465/535][40749] Loss_D: -0.028439 Loss_G: 0.000144 Loss_D_real: -0.002041 Loss_D_fake 0.026398
[397/5000][470/535][40750] Loss_D: -0.028478 Loss_G: 0.024015 Loss_D_real: -0.025381 Loss_D_fake 0.003097
[397/5000][475/535][40751] Loss_D: -0.027673 Loss_G: 0.025404 Loss_D_real: -0.025076 Loss_D_fake 0.002597
[397/5000][480/535][40752] Loss_D: -0.029243 Loss_G: 0.010078 Loss_D_real: -0.006737 Loss_D_fake 0.022506
[397/5000][485/535][40753] Loss_D: -0.029305 Loss_G: 0.007225 Loss_D_real: -0.011976 Loss_D_fake 0.017329
[397/5000][490/535][40754] Loss_D: -0.029242 Loss_G: 0.027824 Loss_D_real: -0.035287 Loss_D_fake -0.006045
[397/5000][495/535][40755] Loss_D: -0.030775 Loss_G: 0.007706 Loss_D_real: 0.001252 Loss_D_fake 0.032026
[397/5000][500/535][40756] Loss_D: -0.028038 Loss_G: -0.000057 Loss_D_real: -0.018149 Loss_D_fake 0.009889
[397/5000][505/535][40757] Loss_D: -0.028086 Loss_G: 0.003244 Loss_D_real: -0.012508 Loss_D_fake 0.015577
[397/5000][510/535][40758] Loss_D: -0.027689 Loss_G: 0.024371 Loss_D_real: -0.026443 Loss_D_fake 0.001246
[397/5000][515/535][40759] Loss_D: -0.029642 Loss_G: 0.016413 Loss_D_real: -0.018250 Loss_D_fake 0.011392
[397/5000][520/535][40760] Loss_D: -0.029483 Loss_G: 0.001974 Loss_D_real: -0.011074 Loss_D_fake 0.018409
[397/5000][525/535][40761] Loss_D: -0.028965 Loss_G: 0.028361 Loss_D_real: -0.020683 Loss_D_fake 0.008281
[397/5000][530/535][40762] Loss_D: -0.030388 Loss_G: 0.000763 Loss_D_real: -0.013662 Loss_D_fake 0.016726
[397/5000][535/535][40763] Loss_D: -0.027738 Loss_G: -0.012339 Loss_D_real: -0.023079 Loss_D_fake 0.004659
[398/5000][5/535][40764] Loss_D: -0.027573 Loss_G: 0.001007 Loss_D_real: -0.006899 Loss_D_fake 0.020674
[398/5000][10/535][40765] Loss_D: -0.027597 Loss_G: 0.016944 Loss_D_real: -0.014548 Loss_D_fake 0.013049
[398/5000][15/535][40766] Loss_D: -0.027557 Loss_G: -0.000488 Loss_D_real: -0.005060 Loss_D_fake 0.022496
[398/5000][20/535][40767] Loss_D: -0.027656 Loss_G: 0.023892 Loss_D_real: -0.021070 Loss_D_fake 0.006586
[398/5000][25/535][40768] Loss_D: -0.029183 Loss_G: 0.006819 Loss_D_real: -0.008375 Loss_D_fake 0.020808
[398/5000][30/535][40769] Loss_D: -0.028674 Loss_G: 0.035193 Loss_D_real: -0.034450 Loss_D_fake -0.005776
[398/5000][35/535][40770] Loss_D: -0.028497 Loss_G: -0.000718 Loss_D_real: -0.000566 Loss_D_fake 0.027931
[398/5000][40/535][40771] Loss_D: -0.029636 Loss_G: 0.022182 Loss_D_real: -0.020930 Loss_D_fake 0.008706
[398/5000][45/535][40772] Loss_D: -0.029417 Loss_G: 0.020612 Loss_D_real: -0.025447 Loss_D_fake 0.003971
[398/5000][50/535][40773] Loss_D: -0.029170 Loss_G: 0.019198 Loss_D_real: -0.016126 Loss_D_fake 0.013044
[398/5000][55/535][40774] Loss_D: -0.028669 Loss_G: -0.006271 Loss_D_real: -0.010275 Loss_D_fake 0.018394
[398/5000][60/535][40775] Loss_D: -0.029260 Loss_G: 0.019419 Loss_D_real: -0.027903 Loss_D_fake 0.001357
[398/5000][65/535][40776] Loss_D: -0.029516 Loss_G: 0.023135 Loss_D_real: -0.020122 Loss_D_fake 0.009395
[398/5000][70/535][40777] Loss_D: -0.029971 Loss_G: 0.030430 Loss_D_real: -0.024790 Loss_D_fake 0.005181
[398/5000][75/535][40778] Loss_D: -0.029916 Loss_G: 0.010105 Loss_D_real: 0.000777 Loss_D_fake 0.030693
[398/5000][80/535][40779] Loss_D: -0.027205 Loss_G: 0.001549 Loss_D_real: -0.009367 Loss_D_fake 0.017838
[398/5000][85/535][40780] Loss_D: -0.029235 Loss_G: 0.002915 Loss_D_real: -0.011799 Loss_D_fake 0.017436
[398/5000][90/535][40781] Loss_D: -0.029022 Loss_G: 0.023200 Loss_D_real: -0.021763 Loss_D_fake 0.007259
[398/5000][95/535][40782] Loss_D: -0.029300 Loss_G: 0.007595 Loss_D_real: -0.014433 Loss_D_fake 0.014867
[398/5000][100/535][40783] Loss_D: -0.028559 Loss_G: 0.003526 Loss_D_real: -0.015362 Loss_D_fake 0.013197
[398/5000][105/535][40784] Loss_D: -0.027785 Loss_G: 0.031757 Loss_D_real: -0.038118 Loss_D_fake -0.010334
[398/5000][110/535][40785] Loss_D: -0.029325 Loss_G: 0.020592 Loss_D_real: -0.023983 Loss_D_fake 0.005343
[398/5000][115/535][40786] Loss_D: -0.029064 Loss_G: -0.000967 Loss_D_real: -0.009456 Loss_D_fake 0.019608
[398/5000][120/535][40787] Loss_D: -0.028944 Loss_G: 0.042395 Loss_D_real: -0.039498 Loss_D_fake -0.010554
[398/5000][125/535][40788] Loss_D: -0.028936 Loss_G: 0.022677 Loss_D_real: -0.023047 Loss_D_fake 0.005888
[398/5000][130/535][40789] Loss_D: -0.028430 Loss_G: 0.041397 Loss_D_real: -0.031576 Loss_D_fake -0.003146
[398/5000][135/535][40790] Loss_D: -0.027683 Loss_G: -0.002356 Loss_D_real: -0.008142 Loss_D_fake 0.019541
[398/5000][140/535][40791] Loss_D: -0.029061 Loss_G: 0.014427 Loss_D_real: -0.015154 Loss_D_fake 0.013907
[398/5000][145/535][40792] Loss_D: -0.029429 Loss_G: 0.019816 Loss_D_real: -0.023496 Loss_D_fake 0.005933
[398/5000][150/535][40793] Loss_D: -0.028798 Loss_G: 0.033548 Loss_D_real: -0.028495 Loss_D_fake 0.000302
[398/5000][155/535][40794] Loss_D: -0.028979 Loss_G: 0.006958 Loss_D_real: -0.018439 Loss_D_fake 0.010540
[398/5000][160/535][40795] Loss_D: -0.028817 Loss_G: 0.016933 Loss_D_real: -0.020472 Loss_D_fake 0.008345
[398/5000][165/535][40796] Loss_D: -0.028970 Loss_G: -0.002319 Loss_D_real: -0.000074 Loss_D_fake 0.028896
[398/5000][170/535][40797] Loss_D: -0.028651 Loss_G: 0.023913 Loss_D_real: -0.028029 Loss_D_fake 0.000622
[398/5000][175/535][40798] Loss_D: -0.028855 Loss_G: 0.011506 Loss_D_real: -0.018955 Loss_D_fake 0.009899
[398/5000][180/535][40799] Loss_D: -0.028240 Loss_G: 0.012279 Loss_D_real: -0.012942 Loss_D_fake 0.015297
[398/5000][185/535][40800] Loss_D: -0.027949 Loss_G: 0.005809 Loss_D_real: -0.015220 Loss_D_fake 0.012729
[398/5000][190/535][40801] Loss_D: -0.026843 Loss_G: -0.011678 Loss_D_real: -0.008359 Loss_D_fake 0.018485
[398/5000][195/535][40802] Loss_D: -0.029532 Loss_G: 0.025955 Loss_D_real: -0.026247 Loss_D_fake 0.003285
[398/5000][200/535][40803] Loss_D: -0.028679 Loss_G: 0.029207 Loss_D_real: -0.031151 Loss_D_fake -0.002472
[398/5000][205/535][40804] Loss_D: -0.029295 Loss_G: 0.000353 Loss_D_real: -0.005260 Loss_D_fake 0.024036
[398/5000][210/535][40805] Loss_D: -0.029524 Loss_G: 0.020184 Loss_D_real: -0.019530 Loss_D_fake 0.009994
[398/5000][215/535][40806] Loss_D: -0.027779 Loss_G: 0.019924 Loss_D_real: -0.010962 Loss_D_fake 0.016816
[398/5000][220/535][40807] Loss_D: -0.029709 Loss_G: 0.028466 Loss_D_real: -0.029201 Loss_D_fake 0.000508
[398/5000][225/535][40808] Loss_D: -0.028023 Loss_G: 0.002695 Loss_D_real: -0.004517 Loss_D_fake 0.023506
[398/5000][230/535][40809] Loss_D: -0.027703 Loss_G: 0.019890 Loss_D_real: -0.035485 Loss_D_fake -0.007782
[398/5000][235/535][40810] Loss_D: -0.027450 Loss_G: 0.031241 Loss_D_real: -0.032651 Loss_D_fake -0.005201
[398/5000][240/535][40811] Loss_D: -0.028978 Loss_G: 0.027312 Loss_D_real: -0.033796 Loss_D_fake -0.004818
[398/5000][245/535][40812] Loss_D: -0.029399 Loss_G: 0.003469 Loss_D_real: -0.009214 Loss_D_fake 0.020185
[398/5000][250/535][40813] Loss_D: -0.027428 Loss_G: 0.020421 Loss_D_real: -0.015549 Loss_D_fake 0.011879
[398/5000][255/535][40814] Loss_D: -0.028685 Loss_G: 0.005624 Loss_D_real: -0.002283 Loss_D_fake 0.026402
[398/5000][260/535][40815] Loss_D: -0.030018 Loss_G: 0.006582 Loss_D_real: -0.005181 Loss_D_fake 0.024837
[398/5000][265/535][40816] Loss_D: -0.029505 Loss_G: 0.009833 Loss_D_real: -0.026727 Loss_D_fake 0.002777
[398/5000][270/535][40817] Loss_D: -0.027715 Loss_G: 0.028475 Loss_D_real: -0.034297 Loss_D_fake -0.006582
[398/5000][275/535][40818] Loss_D: -0.030340 Loss_G: 0.017283 Loss_D_real: -0.017089 Loss_D_fake 0.013250
[398/5000][280/535][40819] Loss_D: -0.029260 Loss_G: 0.029455 Loss_D_real: -0.028986 Loss_D_fake 0.000274
[398/5000][285/535][40820] Loss_D: -0.028506 Loss_G: 0.027176 Loss_D_real: -0.038340 Loss_D_fake -0.009835
[398/5000][290/535][40821] Loss_D: -0.029632 Loss_G: -0.001353 Loss_D_real: -0.005514 Loss_D_fake 0.024118
[398/5000][295/535][40822] Loss_D: -0.029236 Loss_G: 0.028735 Loss_D_real: -0.025529 Loss_D_fake 0.003708
[398/5000][300/535][40823] Loss_D: -0.029544 Loss_G: -0.003461 Loss_D_real: -0.006776 Loss_D_fake 0.022769
[398/5000][305/535][40824] Loss_D: -0.028901 Loss_G: 0.043375 Loss_D_real: -0.035535 Loss_D_fake -0.006634
[398/5000][310/535][40825] Loss_D: -0.029513 Loss_G: 0.008831 Loss_D_real: -0.009631 Loss_D_fake 0.019881
[398/5000][315/535][40826] Loss_D: -0.029851 Loss_G: 0.001655 Loss_D_real: -0.007643 Loss_D_fake 0.022207
[398/5000][320/535][40827] Loss_D: -0.029730 Loss_G: 0.011904 Loss_D_real: -0.017644 Loss_D_fake 0.012085
[398/5000][325/535][40828] Loss_D: -0.029307 Loss_G: 0.009911 Loss_D_real: -0.006353 Loss_D_fake 0.022953
[398/5000][330/535][40829] Loss_D: -0.030091 Loss_G: 0.025926 Loss_D_real: -0.020610 Loss_D_fake 0.009481
[398/5000][335/535][40830] Loss_D: -0.029751 Loss_G: 0.017535 Loss_D_real: -0.014736 Loss_D_fake 0.015015
[398/5000][340/535][40831] Loss_D: -0.029417 Loss_G: 0.000678 Loss_D_real: -0.007643 Loss_D_fake 0.021775
[398/5000][345/535][40832] Loss_D: -0.028211 Loss_G: 0.002028 Loss_D_real: -0.012579 Loss_D_fake 0.015631
[398/5000][350/535][40833] Loss_D: -0.029456 Loss_G: 0.031425 Loss_D_real: -0.026914 Loss_D_fake 0.002542
[398/5000][355/535][40834] Loss_D: -0.028458 Loss_G: 0.006875 Loss_D_real: -0.012234 Loss_D_fake 0.016224
[398/5000][360/535][40835] Loss_D: -0.028973 Loss_G: 0.035122 Loss_D_real: -0.032547 Loss_D_fake -0.003574
[398/5000][365/535][40836] Loss_D: -0.028816 Loss_G: 0.000207 Loss_D_real: -0.013661 Loss_D_fake 0.015155
[398/5000][370/535][40837] Loss_D: -0.030004 Loss_G: 0.012064 Loss_D_real: -0.028543 Loss_D_fake 0.001462
[398/5000][375/535][40838] Loss_D: -0.030074 Loss_G: 0.011916 Loss_D_real: -0.009128 Loss_D_fake 0.020947
[398/5000][380/535][40839] Loss_D: -0.029846 Loss_G: 0.012601 Loss_D_real: -0.011585 Loss_D_fake 0.018261
[398/5000][385/535][40840] Loss_D: -0.028747 Loss_G: 0.022599 Loss_D_real: -0.030474 Loss_D_fake -0.001727
[398/5000][390/535][40841] Loss_D: -0.028645 Loss_G: -0.000959 Loss_D_real: -0.015709 Loss_D_fake 0.012936
[398/5000][395/535][40842] Loss_D: -0.027188 Loss_G: 0.027839 Loss_D_real: -0.023684 Loss_D_fake 0.003504
[398/5000][400/535][40843] Loss_D: -0.028512 Loss_G: 0.020735 Loss_D_real: -0.029214 Loss_D_fake -0.000702
[398/5000][405/535][40844] Loss_D: -0.027644 Loss_G: -0.004980 Loss_D_real: -0.003514 Loss_D_fake 0.024130
[398/5000][410/535][40845] Loss_D: -0.029090 Loss_G: 0.018240 Loss_D_real: -0.021158 Loss_D_fake 0.007932
[398/5000][415/535][40846] Loss_D: -0.031004 Loss_G: -0.004066 Loss_D_real: -0.009539 Loss_D_fake 0.021465
[398/5000][420/535][40847] Loss_D: -0.028769 Loss_G: 0.022939 Loss_D_real: -0.019633 Loss_D_fake 0.009135
[398/5000][425/535][40848] Loss_D: -0.029501 Loss_G: 0.016171 Loss_D_real: -0.011058 Loss_D_fake 0.018443
[398/5000][430/535][40849] Loss_D: -0.029963 Loss_G: 0.004993 Loss_D_real: -0.015457 Loss_D_fake 0.014507
[398/5000][435/535][40850] Loss_D: -0.029754 Loss_G: 0.024673 Loss_D_real: -0.030264 Loss_D_fake -0.000510
[398/5000][440/535][40851] Loss_D: -0.029058 Loss_G: 0.021282 Loss_D_real: -0.027029 Loss_D_fake 0.002029
[398/5000][445/535][40852] Loss_D: -0.028698 Loss_G: 0.031796 Loss_D_real: -0.036402 Loss_D_fake -0.007704
[398/5000][450/535][40853] Loss_D: -0.029288 Loss_G: 0.028490 Loss_D_real: -0.028033 Loss_D_fake 0.001254
[398/5000][455/535][40854] Loss_D: -0.031160 Loss_G: 0.026773 Loss_D_real: -0.022494 Loss_D_fake 0.008666
[398/5000][460/535][40855] Loss_D: -0.028361 Loss_G: 0.024048 Loss_D_real: -0.025127 Loss_D_fake 0.003235
[398/5000][465/535][40856] Loss_D: -0.031184 Loss_G: 0.016777 Loss_D_real: -0.016722 Loss_D_fake 0.014462
[398/5000][470/535][40857] Loss_D: -0.027390 Loss_G: 0.016927 Loss_D_real: -0.018681 Loss_D_fake 0.008708
[398/5000][475/535][40858] Loss_D: -0.028517 Loss_G: 0.031212 Loss_D_real: -0.029433 Loss_D_fake -0.000916
[398/5000][480/535][40859] Loss_D: -0.027722 Loss_G: -0.001569 Loss_D_real: -0.006853 Loss_D_fake 0.020870
[398/5000][485/535][40860] Loss_D: -0.027704 Loss_G: 0.026890 Loss_D_real: -0.028481 Loss_D_fake -0.000777
[398/5000][490/535][40861] Loss_D: -0.029487 Loss_G: 0.018682 Loss_D_real: -0.021738 Loss_D_fake 0.007749
[398/5000][495/535][40862] Loss_D: -0.028534 Loss_G: 0.034443 Loss_D_real: -0.034200 Loss_D_fake -0.005666
[398/5000][500/535][40863] Loss_D: -0.028043 Loss_G: -0.007943 Loss_D_real: 0.004053 Loss_D_fake 0.032096
[398/5000][505/535][40864] Loss_D: -0.026893 Loss_G: 0.026070 Loss_D_real: -0.032571 Loss_D_fake -0.005678
[398/5000][510/535][40865] Loss_D: -0.029777 Loss_G: -0.008492 Loss_D_real: -0.006008 Loss_D_fake 0.023768
[398/5000][515/535][40866] Loss_D: -0.027312 Loss_G: 0.030663 Loss_D_real: -0.035649 Loss_D_fake -0.008337
[398/5000][520/535][40867] Loss_D: -0.029302 Loss_G: 0.012052 Loss_D_real: -0.013693 Loss_D_fake 0.015610
[398/5000][525/535][40868] Loss_D: -0.029379 Loss_G: -0.000353 Loss_D_real: -0.009953 Loss_D_fake 0.019426
[398/5000][530/535][40869] Loss_D: -0.029886 Loss_G: 0.010374 Loss_D_real: -0.015579 Loss_D_fake 0.014307
[398/5000][535/535][40870] Loss_D: -0.029789 Loss_G: -0.012295 Loss_D_real: -0.005738 Loss_D_fake 0.024051
[399/5000][5/535][40871] Loss_D: -0.028456 Loss_G: 0.023328 Loss_D_real: -0.029300 Loss_D_fake -0.000845
[399/5000][10/535][40872] Loss_D: -0.027746 Loss_G: 0.030166 Loss_D_real: -0.020354 Loss_D_fake 0.007392
[399/5000][15/535][40873] Loss_D: -0.028746 Loss_G: 0.006797 Loss_D_real: -0.012211 Loss_D_fake 0.016535
[399/5000][20/535][40874] Loss_D: -0.029138 Loss_G: 0.011178 Loss_D_real: -0.015035 Loss_D_fake 0.014103
[399/5000][25/535][40875] Loss_D: -0.029363 Loss_G: 0.010260 Loss_D_real: -0.011594 Loss_D_fake 0.017769
[399/5000][30/535][40876] Loss_D: -0.028133 Loss_G: -0.000927 Loss_D_real: -0.000843 Loss_D_fake 0.027290
[399/5000][35/535][40877] Loss_D: -0.027174 Loss_G: 0.023619 Loss_D_real: -0.024341 Loss_D_fake 0.002833
[399/5000][40/535][40878] Loss_D: -0.029683 Loss_G: 0.009094 Loss_D_real: -0.017737 Loss_D_fake 0.011946
[399/5000][45/535][40879] Loss_D: -0.028316 Loss_G: 0.026603 Loss_D_real: -0.027205 Loss_D_fake 0.001110
[399/5000][50/535][40880] Loss_D: -0.029016 Loss_G: 0.008306 Loss_D_real: -0.015015 Loss_D_fake 0.014001
[399/5000][55/535][40881] Loss_D: -0.030067 Loss_G: 0.023282 Loss_D_real: -0.014640 Loss_D_fake 0.015427
[399/5000][60/535][40882] Loss_D: -0.028999 Loss_G: 0.024596 Loss_D_real: -0.030562 Loss_D_fake -0.001564
[399/5000][65/535][40883] Loss_D: -0.025339 Loss_G: 0.044675 Loss_D_real: -0.039036 Loss_D_fake -0.013697
[399/5000][70/535][40884] Loss_D: -0.028768 Loss_G: 0.003762 Loss_D_real: 0.002862 Loss_D_fake 0.031629
[399/5000][75/535][40885] Loss_D: -0.027708 Loss_G: 0.028623 Loss_D_real: -0.024471 Loss_D_fake 0.003237
[399/5000][80/535][40886] Loss_D: -0.028049 Loss_G: 0.012113 Loss_D_real: -0.018360 Loss_D_fake 0.009689
[399/5000][85/535][40887] Loss_D: -0.028480 Loss_G: 0.006418 Loss_D_real: -0.016728 Loss_D_fake 0.011752
[399/5000][90/535][40888] Loss_D: -0.030376 Loss_G: 0.016699 Loss_D_real: -0.021485 Loss_D_fake 0.008891
[399/5000][95/535][40889] Loss_D: -0.029127 Loss_G: 0.017789 Loss_D_real: -0.021743 Loss_D_fake 0.007384
[399/5000][100/535][40890] Loss_D: -0.028971 Loss_G: 0.032578 Loss_D_real: -0.027309 Loss_D_fake 0.001661
[399/5000][105/535][40891] Loss_D: -0.029602 Loss_G: -0.010005 Loss_D_real: -0.006778 Loss_D_fake 0.022825
[399/5000][110/535][40892] Loss_D: -0.028574 Loss_G: 0.012509 Loss_D_real: -0.013693 Loss_D_fake 0.014881
[399/5000][115/535][40893] Loss_D: -0.028439 Loss_G: 0.015038 Loss_D_real: -0.019195 Loss_D_fake 0.009244
[399/5000][120/535][40894] Loss_D: -0.026827 Loss_G: 0.035797 Loss_D_real: -0.041031 Loss_D_fake -0.014205
[399/5000][125/535][40895] Loss_D: -0.027607 Loss_G: -0.010765 Loss_D_real: 0.003790 Loss_D_fake 0.031397
[399/5000][130/535][40896] Loss_D: -0.027583 Loss_G: 0.019823 Loss_D_real: -0.023134 Loss_D_fake 0.004449
[399/5000][135/535][40897] Loss_D: -0.028088 Loss_G: 0.013064 Loss_D_real: -0.010965 Loss_D_fake 0.017122
[399/5000][140/535][40898] Loss_D: -0.028804 Loss_G: -0.010620 Loss_D_real: -0.010145 Loss_D_fake 0.018659
[399/5000][145/535][40899] Loss_D: -0.029208 Loss_G: 0.033809 Loss_D_real: -0.028583 Loss_D_fake 0.000625
[399/5000][150/535][40900] Loss_D: -0.029760 Loss_G: -0.005502 Loss_D_real: -0.002375 Loss_D_fake 0.027384
[399/5000][155/535][40901] Loss_D: -0.027769 Loss_G: 0.011842 Loss_D_real: -0.021210 Loss_D_fake 0.006560
[399/5000][160/535][40902] Loss_D: -0.029207 Loss_G: 0.007621 Loss_D_real: -0.018876 Loss_D_fake 0.010331
[399/5000][165/535][40903] Loss_D: -0.029144 Loss_G: 0.014667 Loss_D_real: -0.019044 Loss_D_fake 0.010100
[399/5000][170/535][40904] Loss_D: -0.027826 Loss_G: 0.004607 Loss_D_real: -0.015380 Loss_D_fake 0.012446
[399/5000][175/535][40905] Loss_D: -0.029177 Loss_G: 0.002322 Loss_D_real: -0.010251 Loss_D_fake 0.018926
[399/5000][180/535][40906] Loss_D: -0.027420 Loss_G: 0.033471 Loss_D_real: -0.033547 Loss_D_fake -0.006127
[399/5000][185/535][40907] Loss_D: -0.029621 Loss_G: 0.010892 Loss_D_real: -0.015375 Loss_D_fake 0.014247
[399/5000][190/535][40908] Loss_D: -0.029317 Loss_G: 0.019206 Loss_D_real: -0.016729 Loss_D_fake 0.012589
[399/5000][195/535][40909] Loss_D: -0.029639 Loss_G: 0.013510 Loss_D_real: -0.027733 Loss_D_fake 0.001906
[399/5000][200/535][40910] Loss_D: -0.030330 Loss_G: 0.011736 Loss_D_real: -0.014854 Loss_D_fake 0.015477
[399/5000][205/535][40911] Loss_D: -0.028152 Loss_G: 0.001586 Loss_D_real: -0.012155 Loss_D_fake 0.015997
[399/5000][210/535][40912] Loss_D: -0.029082 Loss_G: 0.029002 Loss_D_real: -0.022975 Loss_D_fake 0.006107
[399/5000][215/535][40913] Loss_D: -0.028971 Loss_G: 0.025335 Loss_D_real: -0.023310 Loss_D_fake 0.005662
[399/5000][220/535][40914] Loss_D: -0.029449 Loss_G: 0.003452 Loss_D_real: -0.011343 Loss_D_fake 0.018106
[399/5000][225/535][40915] Loss_D: -0.029391 Loss_G: 0.024354 Loss_D_real: -0.015845 Loss_D_fake 0.013546
[399/5000][230/535][40916] Loss_D: -0.027848 Loss_G: 0.030474 Loss_D_real: -0.037577 Loss_D_fake -0.009728
[399/5000][235/535][40917] Loss_D: -0.028498 Loss_G: 0.033258 Loss_D_real: -0.028368 Loss_D_fake 0.000130
[399/5000][240/535][40918] Loss_D: -0.029570 Loss_G: 0.014841 Loss_D_real: -0.016440 Loss_D_fake 0.013130
[399/5000][245/535][40919] Loss_D: -0.030219 Loss_G: 0.013982 Loss_D_real: -0.029158 Loss_D_fake 0.001060
[399/5000][250/535][40920] Loss_D: -0.030504 Loss_G: 0.019503 Loss_D_real: -0.027172 Loss_D_fake 0.003332
[399/5000][255/535][40921] Loss_D: -0.029129 Loss_G: 0.016712 Loss_D_real: -0.019350 Loss_D_fake 0.009780
[399/5000][260/535][40922] Loss_D: -0.029574 Loss_G: -0.000009 Loss_D_real: -0.011421 Loss_D_fake 0.018153
[399/5000][265/535][40923] Loss_D: -0.028838 Loss_G: 0.030274 Loss_D_real: -0.028655 Loss_D_fake 0.000183
[399/5000][270/535][40924] Loss_D: -0.028216 Loss_G: -0.003528 Loss_D_real: -0.005492 Loss_D_fake 0.022724
[399/5000][275/535][40925] Loss_D: -0.029709 Loss_G: 0.029398 Loss_D_real: -0.023609 Loss_D_fake 0.006100
[399/5000][280/535][40926] Loss_D: -0.028724 Loss_G: 0.018007 Loss_D_real: -0.012461 Loss_D_fake 0.016263
[399/5000][285/535][40927] Loss_D: -0.028650 Loss_G: -0.005252 Loss_D_real: -0.006848 Loss_D_fake 0.021803
[399/5000][290/535][40928] Loss_D: -0.027713 Loss_G: 0.037827 Loss_D_real: -0.042351 Loss_D_fake -0.014639
[399/5000][295/535][40929] Loss_D: -0.027725 Loss_G: 0.035230 Loss_D_real: -0.035823 Loss_D_fake -0.008098
[399/5000][300/535][40930] Loss_D: -0.029698 Loss_G: -0.004877 Loss_D_real: -0.005426 Loss_D_fake 0.024272
[399/5000][305/535][40931] Loss_D: -0.027928 Loss_G: 0.042247 Loss_D_real: -0.031758 Loss_D_fake -0.003830
[399/5000][310/535][40932] Loss_D: -0.028301 Loss_G: 0.016522 Loss_D_real: -0.028827 Loss_D_fake -0.000526
[399/5000][315/535][40933] Loss_D: -0.027647 Loss_G: 0.036504 Loss_D_real: -0.029442 Loss_D_fake -0.001795
[399/5000][320/535][40934] Loss_D: -0.026619 Loss_G: 0.027558 Loss_D_real: -0.030710 Loss_D_fake -0.004090
[399/5000][325/535][40935] Loss_D: -0.029236 Loss_G: 0.015867 Loss_D_real: -0.023191 Loss_D_fake 0.006046
[399/5000][330/535][40936] Loss_D: -0.028218 Loss_G: 0.026012 Loss_D_real: -0.031796 Loss_D_fake -0.003577
[399/5000][335/535][40937] Loss_D: -0.030438 Loss_G: 0.013438 Loss_D_real: -0.023600 Loss_D_fake 0.006839
[399/5000][340/535][40938] Loss_D: -0.028707 Loss_G: -0.000376 Loss_D_real: -0.012158 Loss_D_fake 0.016549
[399/5000][345/535][40939] Loss_D: -0.027154 Loss_G: 0.026045 Loss_D_real: -0.028010 Loss_D_fake -0.000856
[399/5000][350/535][40940] Loss_D: -0.028252 Loss_G: 0.002545 Loss_D_real: -0.020827 Loss_D_fake 0.007425
[399/5000][355/535][40941] Loss_D: -0.028206 Loss_G: 0.024882 Loss_D_real: -0.022355 Loss_D_fake 0.005850
[399/5000][360/535][40942] Loss_D: -0.028341 Loss_G: 0.011990 Loss_D_real: -0.016932 Loss_D_fake 0.011409
[399/5000][365/535][40943] Loss_D: -0.029717 Loss_G: 0.027039 Loss_D_real: -0.024279 Loss_D_fake 0.005438
[399/5000][370/535][40944] Loss_D: -0.029772 Loss_G: 0.021102 Loss_D_real: -0.015565 Loss_D_fake 0.014206
[399/5000][375/535][40945] Loss_D: -0.029976 Loss_G: -0.010758 Loss_D_real: -0.001563 Loss_D_fake 0.028413
[399/5000][380/535][40946] Loss_D: -0.028254 Loss_G: 0.001743 Loss_D_real: -0.007634 Loss_D_fake 0.020620
[399/5000][385/535][40947] Loss_D: -0.028591 Loss_G: 0.017644 Loss_D_real: -0.022529 Loss_D_fake 0.006062
[399/5000][390/535][40948] Loss_D: -0.029262 Loss_G: 0.003406 Loss_D_real: -0.012973 Loss_D_fake 0.016290
[399/5000][395/535][40949] Loss_D: -0.029834 Loss_G: 0.008725 Loss_D_real: -0.011314 Loss_D_fake 0.018521
[399/5000][400/535][40950] Loss_D: -0.028456 Loss_G: 0.018193 Loss_D_real: -0.022637 Loss_D_fake 0.005818
[399/5000][405/535][40951] Loss_D: -0.030554 Loss_G: 0.008463 Loss_D_real: -0.015374 Loss_D_fake 0.015180
[399/5000][410/535][40952] Loss_D: -0.027089 Loss_G: 0.040840 Loss_D_real: -0.038840 Loss_D_fake -0.011751
[399/5000][415/535][40953] Loss_D: -0.028139 Loss_G: 0.025143 Loss_D_real: -0.024575 Loss_D_fake 0.003563
[399/5000][420/535][40954] Loss_D: -0.029310 Loss_G: -0.009270 Loss_D_real: -0.006693 Loss_D_fake 0.022617
[399/5000][425/535][40955] Loss_D: -0.027313 Loss_G: 0.030174 Loss_D_real: -0.021951 Loss_D_fake 0.005362
[399/5000][430/535][40956] Loss_D: -0.028875 Loss_G: 0.014507 Loss_D_real: -0.019755 Loss_D_fake 0.009121
[399/5000][435/535][40957] Loss_D: -0.028768 Loss_G: -0.003583 Loss_D_real: -0.005211 Loss_D_fake 0.023557
[399/5000][440/535][40958] Loss_D: -0.029089 Loss_G: 0.017240 Loss_D_real: -0.023927 Loss_D_fake 0.005162
[399/5000][445/535][40959] Loss_D: -0.029371 Loss_G: 0.003935 Loss_D_real: -0.016187 Loss_D_fake 0.013184
[399/5000][450/535][40960] Loss_D: -0.028022 Loss_G: 0.022504 Loss_D_real: -0.022929 Loss_D_fake 0.005093
[399/5000][455/535][40961] Loss_D: -0.029652 Loss_G: 0.016781 Loss_D_real: -0.021456 Loss_D_fake 0.008196
[399/5000][460/535][40962] Loss_D: -0.030384 Loss_G: 0.010685 Loss_D_real: -0.009913 Loss_D_fake 0.020471
[399/5000][465/535][40963] Loss_D: -0.028900 Loss_G: 0.010413 Loss_D_real: -0.008122 Loss_D_fake 0.020778
[399/5000][470/535][40964] Loss_D: -0.028246 Loss_G: 0.036528 Loss_D_real: -0.035483 Loss_D_fake -0.007238
[399/5000][475/535][40965] Loss_D: -0.028690 Loss_G: 0.009409 Loss_D_real: -0.016730 Loss_D_fake 0.011960
[399/5000][480/535][40966] Loss_D: -0.028994 Loss_G: 0.017669 Loss_D_real: -0.024868 Loss_D_fake 0.004126
[399/5000][485/535][40967] Loss_D: -0.030334 Loss_G: 0.019160 Loss_D_real: -0.009748 Loss_D_fake 0.020587
[399/5000][490/535][40968] Loss_D: -0.028111 Loss_G: 0.002655 Loss_D_real: -0.001181 Loss_D_fake 0.026930
[399/5000][495/535][40969] Loss_D: -0.028155 Loss_G: 0.005975 Loss_D_real: -0.027797 Loss_D_fake 0.000358
[399/5000][500/535][40970] Loss_D: -0.029199 Loss_G: 0.011919 Loss_D_real: -0.011807 Loss_D_fake 0.017392
[399/5000][505/535][40971] Loss_D: -0.027845 Loss_G: 0.007047 Loss_D_real: -0.014175 Loss_D_fake 0.013671
[399/5000][510/535][40972] Loss_D: -0.028109 Loss_G: 0.039587 Loss_D_real: -0.028662 Loss_D_fake -0.000554
[399/5000][515/535][40973] Loss_D: -0.028587 Loss_G: 0.040925 Loss_D_real: -0.037048 Loss_D_fake -0.008461
[399/5000][520/535][40974] Loss_D: -0.029854 Loss_G: 0.016167 Loss_D_real: -0.017421 Loss_D_fake 0.012433
[399/5000][525/535][40975] Loss_D: -0.027269 Loss_G: 0.029957 Loss_D_real: -0.028804 Loss_D_fake -0.001535
[399/5000][530/535][40976] Loss_D: -0.028864 Loss_G: 0.010720 Loss_D_real: -0.020330 Loss_D_fake 0.008534
[399/5000][535/535][40977] Loss_D: -0.027471 Loss_G: 0.005545 Loss_D_real: -0.025266 Loss_D_fake 0.002205
[400/5000][5/535][40978] Loss_D: -0.030166 Loss_G: 0.017882 Loss_D_real: -0.018432 Loss_D_fake 0.011734
[400/5000][10/535][40979] Loss_D: -0.028917 Loss_G: 0.000763 Loss_D_real: -0.004223 Loss_D_fake 0.024694
[400/5000][15/535][40980] Loss_D: -0.027467 Loss_G: 0.017485 Loss_D_real: -0.021726 Loss_D_fake 0.005741
[400/5000][20/535][40981] Loss_D: -0.029555 Loss_G: 0.007457 Loss_D_real: -0.009462 Loss_D_fake 0.020092
[400/5000][25/535][40982] Loss_D: -0.029641 Loss_G: 0.015980 Loss_D_real: -0.022592 Loss_D_fake 0.007049
[400/5000][30/535][40983] Loss_D: -0.030053 Loss_G: 0.012119 Loss_D_real: -0.015879 Loss_D_fake 0.014174
[400/5000][35/535][40984] Loss_D: -0.028642 Loss_G: 0.008873 Loss_D_real: -0.021760 Loss_D_fake 0.006883
[400/5000][40/535][40985] Loss_D: -0.027575 Loss_G: 0.035693 Loss_D_real: -0.041375 Loss_D_fake -0.013799
[400/5000][45/535][40986] Loss_D: -0.028333 Loss_G: 0.038809 Loss_D_real: -0.030766 Loss_D_fake -0.002433
[400/5000][50/535][40987] Loss_D: -0.029563 Loss_G: 0.008142 Loss_D_real: -0.018954 Loss_D_fake 0.010609
[400/5000][55/535][40988] Loss_D: -0.026888 Loss_G: 0.033256 Loss_D_real: -0.035911 Loss_D_fake -0.009023
[400/5000][60/535][40989] Loss_D: -0.028160 Loss_G: -0.001934 Loss_D_real: -0.001509 Loss_D_fake 0.026652
[400/5000][65/535][40990] Loss_D: -0.027677 Loss_G: 0.027281 Loss_D_real: -0.025595 Loss_D_fake 0.002083
[400/5000][70/535][40991] Loss_D: -0.028774 Loss_G: 0.021556 Loss_D_real: -0.022632 Loss_D_fake 0.006142
[400/5000][75/535][40992] Loss_D: -0.030664 Loss_G: 0.011956 Loss_D_real: -0.026213 Loss_D_fake 0.004451
[400/5000][80/535][40993] Loss_D: -0.027239 Loss_G: 0.034607 Loss_D_real: -0.027860 Loss_D_fake -0.000622
[400/5000][85/535][40994] Loss_D: -0.028505 Loss_G: 0.030169 Loss_D_real: -0.038256 Loss_D_fake -0.009750
[400/5000][90/535][40995] Loss_D: -0.028735 Loss_G: -0.000162 Loss_D_real: -0.000205 Loss_D_fake 0.028531
[400/5000][95/535][40996] Loss_D: -0.029476 Loss_G: 0.020770 Loss_D_real: -0.024415 Loss_D_fake 0.005061
[400/5000][100/535][40997] Loss_D: -0.028974 Loss_G: 0.012057 Loss_D_real: -0.012038 Loss_D_fake 0.016936
[400/5000][105/535][40998] Loss_D: -0.028730 Loss_G: 0.015008 Loss_D_real: -0.018408 Loss_D_fake 0.010322
[400/5000][110/535][40999] Loss_D: -0.030258 Loss_G: 0.004695 Loss_D_real: -0.006404 Loss_D_fake 0.023854
[400/5000][115/535][41000] Loss_D: -0.029030 Loss_G: 0.030031 Loss_D_real: -0.032407 Loss_D_fake -0.003377
[400/5000][215/535][41001] Loss_D: -0.030663 Loss_G: -0.001896 Loss_D_real: -0.004380 Loss_D_fake 0.026283
[400/5000][220/535][41002] Loss_D: -0.031479 Loss_G: 0.006523 Loss_D_real: -0.016394 Loss_D_fake 0.015086
[400/5000][225/535][41003] Loss_D: -0.026555 Loss_G: 0.016339 Loss_D_real: -0.022429 Loss_D_fake 0.004126
[400/5000][230/535][41004] Loss_D: -0.027580 Loss_G: 0.022398 Loss_D_real: -0.019601 Loss_D_fake 0.007979
[400/5000][235/535][41005] Loss_D: -0.029508 Loss_G: 0.012917 Loss_D_real: -0.018293 Loss_D_fake 0.011215
[400/5000][240/535][41006] Loss_D: -0.027722 Loss_G: 0.007900 Loss_D_real: -0.016137 Loss_D_fake 0.011585
[400/5000][245/535][41007] Loss_D: -0.028235 Loss_G: 0.033879 Loss_D_real: -0.030692 Loss_D_fake -0.002457
[400/5000][250/535][41008] Loss_D: -0.027714 Loss_G: 0.008342 Loss_D_real: -0.011816 Loss_D_fake 0.015898
[400/5000][255/535][41009] Loss_D: -0.027659 Loss_G: 0.014112 Loss_D_real: -0.016683 Loss_D_fake 0.010975
[400/5000][260/535][41010] Loss_D: -0.026447 Loss_G: 0.026847 Loss_D_real: -0.029870 Loss_D_fake -0.003422
[400/5000][265/535][41011] Loss_D: -0.029544 Loss_G: 0.013396 Loss_D_real: -0.017200 Loss_D_fake 0.012344
[400/5000][270/535][41012] Loss_D: -0.030017 Loss_G: 0.027932 Loss_D_real: -0.026708 Loss_D_fake 0.003309
[400/5000][275/535][41013] Loss_D: -0.028064 Loss_G: -0.005049 Loss_D_real: 0.004493 Loss_D_fake 0.032557
[400/5000][280/535][41014] Loss_D: -0.029053 Loss_G: 0.025795 Loss_D_real: -0.029360 Loss_D_fake -0.000308
[400/5000][285/535][41015] Loss_D: -0.029182 Loss_G: 0.011251 Loss_D_real: -0.001411 Loss_D_fake 0.027771
[400/5000][290/535][41016] Loss_D: -0.029408 Loss_G: 0.004630 Loss_D_real: -0.008245 Loss_D_fake 0.021163
[400/5000][295/535][41017] Loss_D: -0.029016 Loss_G: 0.012963 Loss_D_real: -0.028147 Loss_D_fake 0.000869
[400/5000][300/535][41018] Loss_D: -0.029480 Loss_G: -0.007850 Loss_D_real: -0.010436 Loss_D_fake 0.019044
[400/5000][305/535][41019] Loss_D: -0.027799 Loss_G: 0.021057 Loss_D_real: -0.027644 Loss_D_fake 0.000156
[400/5000][310/535][41020] Loss_D: -0.029400 Loss_G: 0.018079 Loss_D_real: -0.017747 Loss_D_fake 0.011653
[400/5000][315/535][41021] Loss_D: -0.030007 Loss_G: 0.024803 Loss_D_real: -0.022324 Loss_D_fake 0.007683
[400/5000][320/535][41022] Loss_D: -0.029957 Loss_G: 0.011300 Loss_D_real: -0.012601 Loss_D_fake 0.017356
[400/5000][325/535][41023] Loss_D: -0.026949 Loss_G: 0.012043 Loss_D_real: -0.019866 Loss_D_fake 0.007083
[400/5000][330/535][41024] Loss_D: -0.029642 Loss_G: 0.004730 Loss_D_real: -0.000453 Loss_D_fake 0.029189
[400/5000][335/535][41025] Loss_D: -0.029131 Loss_G: 0.010774 Loss_D_real: -0.020102 Loss_D_fake 0.009029
[400/5000][340/535][41026] Loss_D: -0.027797 Loss_G: 0.036501 Loss_D_real: -0.034752 Loss_D_fake -0.006956
[400/5000][345/535][41027] Loss_D: -0.028667 Loss_G: 0.024753 Loss_D_real: -0.023650 Loss_D_fake 0.005016
[400/5000][350/535][41028] Loss_D: -0.028803 Loss_G: 0.030085 Loss_D_real: -0.026475 Loss_D_fake 0.002327
[400/5000][355/535][41029] Loss_D: -0.026531 Loss_G: -0.006399 Loss_D_real: 0.000924 Loss_D_fake 0.027455
[400/5000][360/535][41030] Loss_D: -0.027532 Loss_G: 0.024554 Loss_D_real: -0.039551 Loss_D_fake -0.012019
[400/5000][365/535][41031] Loss_D: -0.029234 Loss_G: 0.029598 Loss_D_real: -0.024101 Loss_D_fake 0.005132
[400/5000][370/535][41032] Loss_D: -0.030068 Loss_G: 0.004648 Loss_D_real: -0.006404 Loss_D_fake 0.023663
[400/5000][375/535][41033] Loss_D: -0.028488 Loss_G: 0.019032 Loss_D_real: -0.027746 Loss_D_fake 0.000743
[400/5000][380/535][41034] Loss_D: -0.030446 Loss_G: 0.001245 Loss_D_real: -0.010388 Loss_D_fake 0.020058
[400/5000][385/535][41035] Loss_D: -0.028844 Loss_G: 0.007762 Loss_D_real: -0.020498 Loss_D_fake 0.008345
[400/5000][390/535][41036] Loss_D: -0.028305 Loss_G: 0.037780 Loss_D_real: -0.031805 Loss_D_fake -0.003499
[400/5000][395/535][41037] Loss_D: -0.029467 Loss_G: 0.010587 Loss_D_real: -0.010981 Loss_D_fake 0.018486
[400/5000][400/535][41038] Loss_D: -0.029469 Loss_G: 0.026462 Loss_D_real: -0.018978 Loss_D_fake 0.010490
[400/5000][405/535][41039] Loss_D: -0.027966 Loss_G: 0.005944 Loss_D_real: -0.008743 Loss_D_fake 0.019223
[400/5000][410/535][41040] Loss_D: -0.027844 Loss_G: 0.008648 Loss_D_real: -0.000433 Loss_D_fake 0.027411
[400/5000][415/535][41041] Loss_D: -0.027571 Loss_G: 0.006012 Loss_D_real: -0.012322 Loss_D_fake 0.015250
[400/5000][420/535][41042] Loss_D: -0.027139 Loss_G: 0.023437 Loss_D_real: -0.020222 Loss_D_fake 0.006917
[400/5000][425/535][41043] Loss_D: -0.028984 Loss_G: 0.005747 Loss_D_real: -0.010822 Loss_D_fake 0.018162
[400/5000][430/535][41044] Loss_D: -0.028845 Loss_G: 0.000623 Loss_D_real: -0.010161 Loss_D_fake 0.018684
[400/5000][435/535][41045] Loss_D: -0.028474 Loss_G: 0.025945 Loss_D_real: -0.026681 Loss_D_fake 0.001794
[400/5000][440/535][41046] Loss_D: -0.031916 Loss_G: 0.017184 Loss_D_real: -0.007793 Loss_D_fake 0.024123
[400/5000][445/535][41047] Loss_D: -0.028001 Loss_G: 0.026715 Loss_D_real: -0.025387 Loss_D_fake 0.002614
[400/5000][450/535][41048] Loss_D: -0.028768 Loss_G: 0.036956 Loss_D_real: -0.028072 Loss_D_fake 0.000696
[400/5000][455/535][41049] Loss_D: -0.030188 Loss_G: 0.018483 Loss_D_real: -0.022733 Loss_D_fake 0.007455
[400/5000][460/535][41050] Loss_D: -0.029766 Loss_G: -0.000293 Loss_D_real: -0.011841 Loss_D_fake 0.017925
[400/5000][465/535][41051] Loss_D: -0.026618 Loss_G: 0.022473 Loss_D_real: -0.027634 Loss_D_fake -0.001016
[400/5000][470/535][41052] Loss_D: -0.028852 Loss_G: -0.007967 Loss_D_real: -0.007939 Loss_D_fake 0.020913
[400/5000][475/535][41053] Loss_D: -0.028411 Loss_G: 0.027158 Loss_D_real: -0.023214 Loss_D_fake 0.005197
[400/5000][480/535][41054] Loss_D: -0.028787 Loss_G: 0.016771 Loss_D_real: -0.018426 Loss_D_fake 0.010360
[400/5000][485/535][41055] Loss_D: -0.029885 Loss_G: 0.028106 Loss_D_real: -0.036431 Loss_D_fake -0.006546
[400/5000][490/535][41056] Loss_D: -0.027302 Loss_G: 0.037580 Loss_D_real: -0.037902 Loss_D_fake -0.010599
[400/5000][495/535][41057] Loss_D: -0.028875 Loss_G: 0.031394 Loss_D_real: -0.026111 Loss_D_fake 0.002765
[400/5000][500/535][41058] Loss_D: -0.029599 Loss_G: 0.005376 Loss_D_real: -0.011060 Loss_D_fake 0.018538
[400/5000][505/535][41059] Loss_D: -0.028141 Loss_G: 0.020655 Loss_D_real: -0.023685 Loss_D_fake 0.004456
[400/5000][510/535][41060] Loss_D: -0.028663 Loss_G: 0.015160 Loss_D_real: -0.013931 Loss_D_fake 0.014732
[400/5000][515/535][41061] Loss_D: -0.029750 Loss_G: 0.013773 Loss_D_real: -0.021225 Loss_D_fake 0.008524
[400/5000][520/535][41062] Loss_D: -0.028712 Loss_G: 0.016153 Loss_D_real: -0.012578 Loss_D_fake 0.016134
[400/5000][525/535][41063] Loss_D: -0.027594 Loss_G: 0.001479 Loss_D_real: 0.003422 Loss_D_fake 0.031016
[400/5000][530/535][41064] Loss_D: -0.028402 Loss_G: 0.025262 Loss_D_real: -0.020735 Loss_D_fake 0.007668
[400/5000][535/535][41065] Loss_D: -0.029583 Loss_G: -0.003389 Loss_D_real: -0.003658 Loss_D_fake 0.025924
[401/5000][5/535][41066] Loss_D: -0.029172 Loss_G: 0.007448 Loss_D_real: -0.019724 Loss_D_fake 0.009448
[401/5000][10/535][41067] Loss_D: -0.027615 Loss_G: 0.015297 Loss_D_real: -0.016472 Loss_D_fake 0.011143
[401/5000][15/535][41068] Loss_D: -0.028806 Loss_G: -0.002903 Loss_D_real: -0.010252 Loss_D_fake 0.018553
[401/5000][20/535][41069] Loss_D: -0.026784 Loss_G: -0.005384 Loss_D_real: 0.001766 Loss_D_fake 0.028550
[401/5000][25/535][41070] Loss_D: -0.028883 Loss_G: -0.003425 Loss_D_real: -0.008594 Loss_D_fake 0.020288
[401/5000][30/535][41071] Loss_D: -0.028946 Loss_G: 0.035224 Loss_D_real: -0.026529 Loss_D_fake 0.002417
[401/5000][35/535][41072] Loss_D: -0.028656 Loss_G: 0.021066 Loss_D_real: -0.028297 Loss_D_fake 0.000359
[401/5000][40/535][41073] Loss_D: -0.028116 Loss_G: 0.033739 Loss_D_real: -0.023326 Loss_D_fake 0.004790
[401/5000][45/535][41074] Loss_D: -0.026935 Loss_G: -0.011523 Loss_D_real: 0.004675 Loss_D_fake 0.031610
[401/5000][50/535][41075] Loss_D: -0.028627 Loss_G: 0.010920 Loss_D_real: -0.027652 Loss_D_fake 0.000976
[401/5000][55/535][41076] Loss_D: -0.030215 Loss_G: 0.018341 Loss_D_real: -0.023025 Loss_D_fake 0.007190
[401/5000][60/535][41077] Loss_D: -0.029952 Loss_G: 0.023618 Loss_D_real: -0.017401 Loss_D_fake 0.012551
[401/5000][65/535][41078] Loss_D: -0.030325 Loss_G: 0.021208 Loss_D_real: -0.023663 Loss_D_fake 0.006662
[401/5000][70/535][41079] Loss_D: -0.030129 Loss_G: 0.029853 Loss_D_real: -0.033227 Loss_D_fake -0.003098
[401/5000][75/535][41080] Loss_D: -0.029397 Loss_G: 0.020001 Loss_D_real: -0.019303 Loss_D_fake 0.010094
[401/5000][80/535][41081] Loss_D: -0.028634 Loss_G: 0.020714 Loss_D_real: -0.021576 Loss_D_fake 0.007058
[401/5000][85/535][41082] Loss_D: -0.029291 Loss_G: -0.007922 Loss_D_real: -0.004415 Loss_D_fake 0.024876
[401/5000][90/535][41083] Loss_D: -0.027471 Loss_G: 0.037697 Loss_D_real: -0.029116 Loss_D_fake -0.001646
[401/5000][95/535][41084] Loss_D: -0.029811 Loss_G: 0.011333 Loss_D_real: -0.009829 Loss_D_fake 0.019983
[401/5000][100/535][41085] Loss_D: -0.028816 Loss_G: 0.013798 Loss_D_real: -0.012955 Loss_D_fake 0.015861
[401/5000][105/535][41086] Loss_D: -0.027739 Loss_G: -0.003137 Loss_D_real: -0.010493 Loss_D_fake 0.017246
[401/5000][110/535][41087] Loss_D: -0.029384 Loss_G: 0.011738 Loss_D_real: -0.018078 Loss_D_fake 0.011305
[401/5000][115/535][41088] Loss_D: -0.029965 Loss_G: 0.017461 Loss_D_real: -0.009028 Loss_D_fake 0.020937
[401/5000][120/535][41089] Loss_D: -0.028244 Loss_G: 0.023558 Loss_D_real: -0.024621 Loss_D_fake 0.003623
[401/5000][125/535][41090] Loss_D: -0.030377 Loss_G: 0.023647 Loss_D_real: -0.024205 Loss_D_fake 0.006171
[401/5000][130/535][41091] Loss_D: -0.029456 Loss_G: 0.025759 Loss_D_real: -0.032996 Loss_D_fake -0.003540
[401/5000][135/535][41092] Loss_D: -0.029900 Loss_G: 0.006060 Loss_D_real: -0.010704 Loss_D_fake 0.019196
[401/5000][140/535][41093] Loss_D: -0.028725 Loss_G: 0.003558 Loss_D_real: -0.012853 Loss_D_fake 0.015872
[401/5000][145/535][41094] Loss_D: -0.027439 Loss_G: 0.043371 Loss_D_real: -0.041737 Loss_D_fake -0.014298
[401/5000][150/535][41095] Loss_D: -0.029589 Loss_G: 0.007660 Loss_D_real: -0.010096 Loss_D_fake 0.019493
[401/5000][155/535][41096] Loss_D: -0.028493 Loss_G: 0.016448 Loss_D_real: -0.020206 Loss_D_fake 0.008288
[401/5000][160/535][41097] Loss_D: -0.029599 Loss_G: 0.021347 Loss_D_real: -0.024170 Loss_D_fake 0.005429
[401/5000][165/535][41098] Loss_D: -0.030223 Loss_G: 0.002335 Loss_D_real: -0.010058 Loss_D_fake 0.020165
[401/5000][170/535][41099] Loss_D: -0.028132 Loss_G: 0.043819 Loss_D_real: -0.039889 Loss_D_fake -0.011758
[401/5000][175/535][41100] Loss_D: -0.027933 Loss_G: 0.007923 Loss_D_real: -0.028506 Loss_D_fake -0.000573
[401/5000][180/535][41101] Loss_D: -0.029310 Loss_G: 0.005280 Loss_D_real: -0.007348 Loss_D_fake 0.021961
[401/5000][185/535][41102] Loss_D: -0.029726 Loss_G: 0.018915 Loss_D_real: -0.024338 Loss_D_fake 0.005388
[401/5000][190/535][41103] Loss_D: -0.030295 Loss_G: 0.010704 Loss_D_real: -0.017596 Loss_D_fake 0.012700
[401/5000][195/535][41104] Loss_D: -0.028894 Loss_G: 0.004043 Loss_D_real: -0.004060 Loss_D_fake 0.024834
[401/5000][200/535][41105] Loss_D: -0.027682 Loss_G: 0.029654 Loss_D_real: -0.032713 Loss_D_fake -0.005031
[401/5000][205/535][41106] Loss_D: -0.029144 Loss_G: 0.012715 Loss_D_real: -0.004710 Loss_D_fake 0.024434
[401/5000][210/535][41107] Loss_D: -0.027343 Loss_G: 0.031542 Loss_D_real: -0.025526 Loss_D_fake 0.001817
[401/5000][215/535][41108] Loss_D: -0.029968 Loss_G: 0.002946 Loss_D_real: -0.007399 Loss_D_fake 0.022569
[401/5000][220/535][41109] Loss_D: -0.028502 Loss_G: 0.019550 Loss_D_real: -0.022827 Loss_D_fake 0.005674
[401/5000][225/535][41110] Loss_D: -0.030401 Loss_G: 0.005790 Loss_D_real: -0.003994 Loss_D_fake 0.026407
[401/5000][230/535][41111] Loss_D: -0.029755 Loss_G: 0.015692 Loss_D_real: -0.017157 Loss_D_fake 0.012597
[401/5000][235/535][41112] Loss_D: -0.029283 Loss_G: 0.001933 Loss_D_real: -0.009240 Loss_D_fake 0.020043
[401/5000][240/535][41113] Loss_D: -0.029325 Loss_G: 0.037608 Loss_D_real: -0.031954 Loss_D_fake -0.002629
[401/5000][245/535][41114] Loss_D: -0.027920 Loss_G: -0.015100 Loss_D_real: 0.001009 Loss_D_fake 0.028929
[401/5000][250/535][41115] Loss_D: -0.027522 Loss_G: 0.010652 Loss_D_real: -0.020077 Loss_D_fake 0.007446
[401/5000][255/535][41116] Loss_D: -0.026462 Loss_G: 0.032221 Loss_D_real: -0.033705 Loss_D_fake -0.007243
[401/5000][260/535][41117] Loss_D: -0.028750 Loss_G: 0.023723 Loss_D_real: -0.017508 Loss_D_fake 0.011242
[401/5000][265/535][41118] Loss_D: -0.029388 Loss_G: 0.023258 Loss_D_real: -0.026510 Loss_D_fake 0.002878
[401/5000][270/535][41119] Loss_D: -0.029858 Loss_G: 0.009005 Loss_D_real: -0.010952 Loss_D_fake 0.018906
[401/5000][275/535][41120] Loss_D: -0.029810 Loss_G: 0.016816 Loss_D_real: -0.026239 Loss_D_fake 0.003571
[401/5000][280/535][41121] Loss_D: -0.028552 Loss_G: 0.030719 Loss_D_real: -0.033521 Loss_D_fake -0.004968
[401/5000][285/535][41122] Loss_D: -0.028017 Loss_G: 0.037975 Loss_D_real: -0.043278 Loss_D_fake -0.015262
[401/5000][290/535][41123] Loss_D: -0.028691 Loss_G: 0.005684 Loss_D_real: -0.013256 Loss_D_fake 0.015434
[401/5000][295/535][41124] Loss_D: -0.030202 Loss_G: -0.004014 Loss_D_real: -0.009323 Loss_D_fake 0.020879
[401/5000][300/535][41125] Loss_D: -0.029358 Loss_G: 0.008452 Loss_D_real: -0.015745 Loss_D_fake 0.013613
[401/5000][305/535][41126] Loss_D: -0.028239 Loss_G: 0.020989 Loss_D_real: -0.028488 Loss_D_fake -0.000249
[401/5000][310/535][41127] Loss_D: -0.028902 Loss_G: -0.003555 Loss_D_real: 0.000518 Loss_D_fake 0.029420
[401/5000][315/535][41128] Loss_D: -0.028778 Loss_G: 0.023323 Loss_D_real: -0.023063 Loss_D_fake 0.005715
[401/5000][320/535][41129] Loss_D: -0.027784 Loss_G: 0.000621 Loss_D_real: -0.013455 Loss_D_fake 0.014329
[401/5000][325/535][41130] Loss_D: -0.028331 Loss_G: 0.013336 Loss_D_real: -0.019754 Loss_D_fake 0.008577
[401/5000][330/535][41131] Loss_D: -0.029138 Loss_G: 0.025599 Loss_D_real: -0.024817 Loss_D_fake 0.004321
[401/5000][335/535][41132] Loss_D: -0.027798 Loss_G: 0.007678 Loss_D_real: -0.016307 Loss_D_fake 0.011491
[401/5000][340/535][41133] Loss_D: -0.029382 Loss_G: 0.016027 Loss_D_real: -0.027990 Loss_D_fake 0.001392
[401/5000][345/535][41134] Loss_D: -0.030129 Loss_G: 0.011706 Loss_D_real: -0.007819 Loss_D_fake 0.022309
[401/5000][350/535][41135] Loss_D: -0.027959 Loss_G: 0.004063 Loss_D_real: -0.013534 Loss_D_fake 0.014425
[401/5000][355/535][41136] Loss_D: -0.029118 Loss_G: 0.006379 Loss_D_real: -0.007221 Loss_D_fake 0.021897
[401/5000][360/535][41137] Loss_D: -0.025212 Loss_G: 0.042889 Loss_D_real: -0.036594 Loss_D_fake -0.011382
[401/5000][365/535][41138] Loss_D: -0.028257 Loss_G: 0.009084 Loss_D_real: -0.019483 Loss_D_fake 0.008774
[401/5000][370/535][41139] Loss_D: -0.028514 Loss_G: 0.024465 Loss_D_real: -0.013468 Loss_D_fake 0.015046
[401/5000][375/535][41140] Loss_D: -0.028706 Loss_G: -0.001913 Loss_D_real: -0.014085 Loss_D_fake 0.014621
[401/5000][380/535][41141] Loss_D: -0.030146 Loss_G: 0.014947 Loss_D_real: -0.015229 Loss_D_fake 0.014918
[401/5000][385/535][41142] Loss_D: -0.029863 Loss_G: 0.002377 Loss_D_real: -0.018924 Loss_D_fake 0.010940
[401/5000][390/535][41143] Loss_D: -0.028487 Loss_G: 0.010938 Loss_D_real: -0.012673 Loss_D_fake 0.015815
[401/5000][395/535][41144] Loss_D: -0.028359 Loss_G: -0.006103 Loss_D_real: -0.002841 Loss_D_fake 0.025518
[401/5000][400/535][41145] Loss_D: -0.027778 Loss_G: 0.028856 Loss_D_real: -0.025671 Loss_D_fake 0.002107
[401/5000][405/535][41146] Loss_D: -0.029672 Loss_G: 0.004553 Loss_D_real: -0.015588 Loss_D_fake 0.014085
[401/5000][410/535][41147] Loss_D: -0.028693 Loss_G: 0.035461 Loss_D_real: -0.037292 Loss_D_fake -0.008599
[401/5000][415/535][41148] Loss_D: -0.029527 Loss_G: 0.007123 Loss_D_real: -0.014404 Loss_D_fake 0.015123
[401/5000][420/535][41149] Loss_D: -0.029161 Loss_G: 0.033684 Loss_D_real: -0.025523 Loss_D_fake 0.003637
[401/5000][425/535][41150] Loss_D: -0.027790 Loss_G: 0.032132 Loss_D_real: -0.032038 Loss_D_fake -0.004248
[401/5000][430/535][41151] Loss_D: -0.029179 Loss_G: 0.025248 Loss_D_real: -0.028014 Loss_D_fake 0.001165
[401/5000][435/535][41152] Loss_D: -0.027971 Loss_G: -0.011800 Loss_D_real: 0.003203 Loss_D_fake 0.031174
[401/5000][440/535][41153] Loss_D: -0.027243 Loss_G: 0.023461 Loss_D_real: -0.018765 Loss_D_fake 0.008479
[401/5000][445/535][41154] Loss_D: -0.026290 Loss_G: 0.040918 Loss_D_real: -0.036898 Loss_D_fake -0.010608
[401/5000][450/535][41155] Loss_D: -0.028627 Loss_G: 0.012059 Loss_D_real: -0.011950 Loss_D_fake 0.016676
[401/5000][455/535][41156] Loss_D: -0.026925 Loss_G: 0.020300 Loss_D_real: -0.031650 Loss_D_fake -0.004726
[401/5000][460/535][41157] Loss_D: -0.029146 Loss_G: 0.005734 Loss_D_real: -0.008356 Loss_D_fake 0.020790
[401/5000][465/535][41158] Loss_D: -0.028705 Loss_G: 0.015780 Loss_D_real: -0.022976 Loss_D_fake 0.005729
[401/5000][470/535][41159] Loss_D: -0.027908 Loss_G: 0.023144 Loss_D_real: -0.018516 Loss_D_fake 0.009392
[401/5000][475/535][41160] Loss_D: -0.030343 Loss_G: 0.020269 Loss_D_real: -0.024608 Loss_D_fake 0.005734
[401/5000][480/535][41161] Loss_D: -0.029023 Loss_G: 0.038214 Loss_D_real: -0.027762 Loss_D_fake 0.001261
[401/5000][485/535][41162] Loss_D: -0.030020 Loss_G: -0.003048 Loss_D_real: -0.002346 Loss_D_fake 0.027674
[401/5000][490/535][41163] Loss_D: -0.027541 Loss_G: 0.010517 Loss_D_real: -0.024553 Loss_D_fake 0.002988
[401/5000][495/535][41164] Loss_D: -0.029667 Loss_G: 0.029629 Loss_D_real: -0.028535 Loss_D_fake 0.001132
[401/5000][500/535][41165] Loss_D: -0.027761 Loss_G: -0.002853 Loss_D_real: -0.007776 Loss_D_fake 0.019985
[401/5000][505/535][41166] Loss_D: -0.027069 Loss_G: 0.028427 Loss_D_real: -0.023930 Loss_D_fake 0.003139
[401/5000][510/535][41167] Loss_D: -0.027880 Loss_G: 0.033872 Loss_D_real: -0.034059 Loss_D_fake -0.006179
[401/5000][515/535][41168] Loss_D: -0.028350 Loss_G: -0.000150 Loss_D_real: 0.005750 Loss_D_fake 0.034100
[401/5000][520/535][41169] Loss_D: -0.028129 Loss_G: 0.016954 Loss_D_real: -0.019229 Loss_D_fake 0.008900
[401/5000][525/535][41170] Loss_D: -0.029380 Loss_G: 0.016228 Loss_D_real: -0.026801 Loss_D_fake 0.002579
[401/5000][530/535][41171] Loss_D: -0.028719 Loss_G: 0.030370 Loss_D_real: -0.030256 Loss_D_fake -0.001537
[401/5000][535/535][41172] Loss_D: -0.029553 Loss_G: 0.042622 Loss_D_real: -0.030144 Loss_D_fake -0.000591
[402/5000][5/535][41173] Loss_D: -0.028978 Loss_G: 0.011241 Loss_D_real: -0.012944 Loss_D_fake 0.016034
[402/5000][10/535][41174] Loss_D: -0.028332 Loss_G: 0.002853 Loss_D_real: -0.020450 Loss_D_fake 0.007882
[402/5000][15/535][41175] Loss_D: -0.029521 Loss_G: 0.018434 Loss_D_real: -0.026689 Loss_D_fake 0.002832
[402/5000][20/535][41176] Loss_D: -0.027698 Loss_G: 0.040965 Loss_D_real: -0.033331 Loss_D_fake -0.005634
[402/5000][25/535][41177] Loss_D: -0.029935 Loss_G: 0.028591 Loss_D_real: -0.028286 Loss_D_fake 0.001650
[402/5000][30/535][41178] Loss_D: -0.030720 Loss_G: 0.026015 Loss_D_real: -0.029223 Loss_D_fake 0.001497
[402/5000][35/535][41179] Loss_D: -0.029926 Loss_G: 0.022165 Loss_D_real: -0.019785 Loss_D_fake 0.010140
[402/5000][40/535][41180] Loss_D: -0.029871 Loss_G: 0.016454 Loss_D_real: -0.022805 Loss_D_fake 0.007066
[402/5000][45/535][41181] Loss_D: -0.028960 Loss_G: 0.012134 Loss_D_real: -0.015923 Loss_D_fake 0.013037
[402/5000][50/535][41182] Loss_D: -0.029032 Loss_G: 0.008753 Loss_D_real: -0.022452 Loss_D_fake 0.006581
[402/5000][55/535][41183] Loss_D: -0.030478 Loss_G: 0.020100 Loss_D_real: -0.012200 Loss_D_fake 0.018277
[402/5000][60/535][41184] Loss_D: -0.027423 Loss_G: -0.015457 Loss_D_real: 0.004543 Loss_D_fake 0.031966
[402/5000][65/535][41185] Loss_D: -0.026580 Loss_G: 0.029648 Loss_D_real: -0.029333 Loss_D_fake -0.002753
[402/5000][70/535][41186] Loss_D: -0.027010 Loss_G: 0.015715 Loss_D_real: -0.020584 Loss_D_fake 0.006425
[402/5000][75/535][41187] Loss_D: -0.028206 Loss_G: 0.011798 Loss_D_real: -0.009976 Loss_D_fake 0.018230
[402/5000][80/535][41188] Loss_D: -0.028384 Loss_G: 0.014143 Loss_D_real: -0.022486 Loss_D_fake 0.005898
[402/5000][85/535][41189] Loss_D: -0.029068 Loss_G: 0.021665 Loss_D_real: -0.021372 Loss_D_fake 0.007697
[402/5000][90/535][41190] Loss_D: -0.028185 Loss_G: -0.008646 Loss_D_real: -0.014046 Loss_D_fake 0.014139
[402/5000][95/535][41191] Loss_D: -0.030038 Loss_G: 0.000405 Loss_D_real: -0.011753 Loss_D_fake 0.018285
[402/5000][100/535][41192] Loss_D: -0.028061 Loss_G: 0.016386 Loss_D_real: -0.010479 Loss_D_fake 0.017582
[402/5000][105/535][41193] Loss_D: -0.027402 Loss_G: 0.031422 Loss_D_real: -0.029693 Loss_D_fake -0.002291
[402/5000][110/535][41194] Loss_D: -0.029548 Loss_G: 0.017656 Loss_D_real: -0.018383 Loss_D_fake 0.011165
[402/5000][115/535][41195] Loss_D: -0.027823 Loss_G: 0.033545 Loss_D_real: -0.023255 Loss_D_fake 0.004568
[402/5000][120/535][41196] Loss_D: -0.028646 Loss_G: 0.005055 Loss_D_real: -0.009175 Loss_D_fake 0.019471
[402/5000][125/535][41197] Loss_D: -0.027955 Loss_G: 0.032582 Loss_D_real: -0.028458 Loss_D_fake -0.000503
[402/5000][130/535][41198] Loss_D: -0.029021 Loss_G: -0.004082 Loss_D_real: -0.012634 Loss_D_fake 0.016387
[402/5000][135/535][41199] Loss_D: -0.028419 Loss_G: 0.020684 Loss_D_real: -0.023035 Loss_D_fake 0.005384
[402/5000][140/535][41200] Loss_D: -0.028996 Loss_G: 0.029431 Loss_D_real: -0.030090 Loss_D_fake -0.001094
[402/5000][145/535][41201] Loss_D: -0.029846 Loss_G: 0.037391 Loss_D_real: -0.031850 Loss_D_fake -0.002003
[402/5000][150/535][41202] Loss_D: -0.028553 Loss_G: -0.001184 Loss_D_real: -0.004300 Loss_D_fake 0.024253
[402/5000][155/535][41203] Loss_D: -0.029775 Loss_G: 0.025572 Loss_D_real: -0.022776 Loss_D_fake 0.006998
[402/5000][160/535][41204] Loss_D: -0.027661 Loss_G: 0.042044 Loss_D_real: -0.037005 Loss_D_fake -0.009344
[402/5000][165/535][41205] Loss_D: -0.031687 Loss_G: 0.018615 Loss_D_real: -0.011036 Loss_D_fake 0.020652
[402/5000][170/535][41206] Loss_D: -0.030024 Loss_G: 0.017445 Loss_D_real: -0.011806 Loss_D_fake 0.018218
[402/5000][175/535][41207] Loss_D: -0.030177 Loss_G: -0.001982 Loss_D_real: -0.006381 Loss_D_fake 0.023796
[402/5000][180/535][41208] Loss_D: -0.030636 Loss_G: 0.018663 Loss_D_real: -0.026678 Loss_D_fake 0.003957
[402/5000][185/535][41209] Loss_D: -0.030474 Loss_G: 0.015399 Loss_D_real: -0.024982 Loss_D_fake 0.005492
[402/5000][190/535][41210] Loss_D: -0.028656 Loss_G: 0.017093 Loss_D_real: -0.029288 Loss_D_fake -0.000632
[402/5000][195/535][41211] Loss_D: -0.029551 Loss_G: 0.022006 Loss_D_real: -0.028700 Loss_D_fake 0.000851
[402/5000][200/535][41212] Loss_D: -0.029702 Loss_G: -0.000467 Loss_D_real: -0.007546 Loss_D_fake 0.022156
[402/5000][205/535][41213] Loss_D: -0.030277 Loss_G: 0.011063 Loss_D_real: -0.015110 Loss_D_fake 0.015167
[402/5000][210/535][41214] Loss_D: -0.029200 Loss_G: 0.035883 Loss_D_real: -0.030229 Loss_D_fake -0.001030
[402/5000][215/535][41215] Loss_D: -0.029282 Loss_G: -0.002916 Loss_D_real: -0.008794 Loss_D_fake 0.020487
[402/5000][220/535][41216] Loss_D: -0.028510 Loss_G: 0.014143 Loss_D_real: -0.021596 Loss_D_fake 0.006914
[402/5000][225/535][41217] Loss_D: -0.029149 Loss_G: 0.002452 Loss_D_real: -0.010843 Loss_D_fake 0.018307
[402/5000][230/535][41218] Loss_D: -0.028533 Loss_G: 0.012885 Loss_D_real: -0.020162 Loss_D_fake 0.008371
[402/5000][235/535][41219] Loss_D: -0.028747 Loss_G: -0.012392 Loss_D_real: 0.000985 Loss_D_fake 0.029732
[402/5000][240/535][41220] Loss_D: -0.029030 Loss_G: 0.023401 Loss_D_real: -0.026766 Loss_D_fake 0.002263
[402/5000][245/535][41221] Loss_D: -0.026075 Loss_G: 0.023001 Loss_D_real: -0.019909 Loss_D_fake 0.006166
[402/5000][250/535][41222] Loss_D: -0.028805 Loss_G: 0.006963 Loss_D_real: -0.015398 Loss_D_fake 0.013407
[402/5000][255/535][41223] Loss_D: -0.029601 Loss_G: 0.010513 Loss_D_real: -0.017697 Loss_D_fake 0.011903
[402/5000][260/535][41224] Loss_D: -0.027039 Loss_G: 0.012628 Loss_D_real: -0.010744 Loss_D_fake 0.016295
[402/5000][265/535][41225] Loss_D: -0.028874 Loss_G: 0.017082 Loss_D_real: -0.023256 Loss_D_fake 0.005618
[402/5000][270/535][41226] Loss_D: -0.031128 Loss_G: 0.015430 Loss_D_real: -0.008801 Loss_D_fake 0.022326
[402/5000][275/535][41227] Loss_D: -0.029687 Loss_G: 0.004881 Loss_D_real: -0.012609 Loss_D_fake 0.017078
[402/5000][280/535][41228] Loss_D: -0.028056 Loss_G: 0.036123 Loss_D_real: -0.029195 Loss_D_fake -0.001140
[402/5000][285/535][41229] Loss_D: -0.028182 Loss_G: -0.002995 Loss_D_real: -0.000622 Loss_D_fake 0.027560
[402/5000][290/535][41230] Loss_D: -0.027550 Loss_G: 0.027617 Loss_D_real: -0.035989 Loss_D_fake -0.008439
[402/5000][295/535][41231] Loss_D: -0.028562 Loss_G: 0.009993 Loss_D_real: -0.013239 Loss_D_fake 0.015323
[402/5000][300/535][41232] Loss_D: -0.027542 Loss_G: 0.041415 Loss_D_real: -0.034233 Loss_D_fake -0.006691
[402/5000][305/535][41233] Loss_D: -0.027798 Loss_G: -0.010143 Loss_D_real: -0.001861 Loss_D_fake 0.025937
[402/5000][310/535][41234] Loss_D: -0.027516 Loss_G: 0.027176 Loss_D_real: -0.025204 Loss_D_fake 0.002313
[402/5000][315/535][41235] Loss_D: -0.029065 Loss_G: 0.008876 Loss_D_real: -0.015092 Loss_D_fake 0.013973
[402/5000][320/535][41236] Loss_D: -0.028683 Loss_G: 0.038403 Loss_D_real: -0.041164 Loss_D_fake -0.012482
[402/5000][325/535][41237] Loss_D: -0.029192 Loss_G: 0.008990 Loss_D_real: -0.009609 Loss_D_fake 0.019583
[402/5000][330/535][41238] Loss_D: -0.030531 Loss_G: 0.016316 Loss_D_real: -0.025552 Loss_D_fake 0.004979
[402/5000][335/535][41239] Loss_D: -0.028326 Loss_G: 0.030724 Loss_D_real: -0.027203 Loss_D_fake 0.001122
[402/5000][340/535][41240] Loss_D: -0.028546 Loss_G: 0.025061 Loss_D_real: -0.019751 Loss_D_fake 0.008795
[402/5000][345/535][41241] Loss_D: -0.028802 Loss_G: -0.002486 Loss_D_real: -0.010141 Loss_D_fake 0.018661
[402/5000][350/535][41242] Loss_D: -0.027290 Loss_G: 0.027316 Loss_D_real: -0.023320 Loss_D_fake 0.003970
[402/5000][355/535][41243] Loss_D: -0.028704 Loss_G: -0.001019 Loss_D_real: -0.010394 Loss_D_fake 0.018310
[402/5000][360/535][41244] Loss_D: -0.029451 Loss_G: 0.025087 Loss_D_real: -0.030817 Loss_D_fake -0.001367
[402/5000][365/535][41245] Loss_D: -0.028967 Loss_G: 0.022868 Loss_D_real: -0.025848 Loss_D_fake 0.003119
[402/5000][370/535][41246] Loss_D: -0.028909 Loss_G: 0.023495 Loss_D_real: -0.023569 Loss_D_fake 0.005340
[402/5000][375/535][41247] Loss_D: -0.028762 Loss_G: -0.007305 Loss_D_real: 0.000379 Loss_D_fake 0.029141
[402/5000][380/535][41248] Loss_D: -0.026154 Loss_G: 0.030314 Loss_D_real: -0.028926 Loss_D_fake -0.002773
[402/5000][385/535][41249] Loss_D: -0.027952 Loss_G: 0.002068 Loss_D_real: -0.007514 Loss_D_fake 0.020438
[402/5000][390/535][41250] Loss_D: -0.026553 Loss_G: -0.003386 Loss_D_real: -0.009817 Loss_D_fake 0.016736
[402/5000][395/535][41251] Loss_D: -0.027582 Loss_G: 0.011689 Loss_D_real: -0.017518 Loss_D_fake 0.010064
[402/5000][400/535][41252] Loss_D: -0.029265 Loss_G: 0.014233 Loss_D_real: -0.013732 Loss_D_fake 0.015533
[402/5000][405/535][41253] Loss_D: -0.027625 Loss_G: 0.023826 Loss_D_real: -0.027662 Loss_D_fake -0.000037
[402/5000][410/535][41254] Loss_D: -0.027763 Loss_G: -0.007404 Loss_D_real: 0.001647 Loss_D_fake 0.029409
[402/5000][415/535][41255] Loss_D: -0.028207 Loss_G: 0.023434 Loss_D_real: -0.022696 Loss_D_fake 0.005511
[402/5000][420/535][41256] Loss_D: -0.028652 Loss_G: 0.008516 Loss_D_real: -0.025058 Loss_D_fake 0.003594
[402/5000][425/535][41257] Loss_D: -0.027938 Loss_G: 0.010620 Loss_D_real: -0.016766 Loss_D_fake 0.011172
[402/5000][430/535][41258] Loss_D: -0.030864 Loss_G: 0.004873 Loss_D_real: -0.013283 Loss_D_fake 0.017582
[402/5000][435/535][41259] Loss_D: -0.029456 Loss_G: 0.009896 Loss_D_real: -0.005372 Loss_D_fake 0.024084
[402/5000][440/535][41260] Loss_D: -0.030059 Loss_G: 0.010793 Loss_D_real: -0.007025 Loss_D_fake 0.023035
[402/5000][445/535][41261] Loss_D: -0.028040 Loss_G: 0.042275 Loss_D_real: -0.039505 Loss_D_fake -0.011465
[402/5000][450/535][41262] Loss_D: -0.028403 Loss_G: 0.029898 Loss_D_real: -0.026569 Loss_D_fake 0.001834
[402/5000][455/535][41263] Loss_D: -0.029057 Loss_G: 0.006572 Loss_D_real: -0.010412 Loss_D_fake 0.018644
[402/5000][460/535][41264] Loss_D: -0.030185 Loss_G: 0.021715 Loss_D_real: -0.031008 Loss_D_fake -0.000822
[402/5000][465/535][41265] Loss_D: -0.029697 Loss_G: -0.001648 Loss_D_real: 0.001924 Loss_D_fake 0.031621
[402/5000][470/535][41266] Loss_D: -0.027791 Loss_G: 0.033443 Loss_D_real: -0.025978 Loss_D_fake 0.001813
[402/5000][475/535][41267] Loss_D: -0.027972 Loss_G: 0.010040 Loss_D_real: -0.014396 Loss_D_fake 0.013576
[402/5000][480/535][41268] Loss_D: -0.029346 Loss_G: 0.006016 Loss_D_real: -0.006523 Loss_D_fake 0.022823
[402/5000][485/535][41269] Loss_D: -0.027892 Loss_G: -0.007863 Loss_D_real: -0.011380 Loss_D_fake 0.016511
[402/5000][490/535][41270] Loss_D: -0.026901 Loss_G: 0.031176 Loss_D_real: -0.030950 Loss_D_fake -0.004049
[402/5000][495/535][41271] Loss_D: -0.028199 Loss_G: 0.016303 Loss_D_real: -0.006408 Loss_D_fake 0.021792
[402/5000][500/535][41272] Loss_D: -0.029813 Loss_G: 0.025723 Loss_D_real: -0.021865 Loss_D_fake 0.007948
[402/5000][505/535][41273] Loss_D: -0.029146 Loss_G: 0.004558 Loss_D_real: -0.018164 Loss_D_fake 0.010981
[402/5000][510/535][41274] Loss_D: -0.028202 Loss_G: 0.024223 Loss_D_real: -0.027388 Loss_D_fake 0.000814
[402/5000][515/535][41275] Loss_D: -0.029041 Loss_G: 0.012945 Loss_D_real: -0.012411 Loss_D_fake 0.016630
[402/5000][520/535][41276] Loss_D: -0.029171 Loss_G: 0.021896 Loss_D_real: -0.020438 Loss_D_fake 0.008733
[402/5000][525/535][41277] Loss_D: -0.030057 Loss_G: 0.007678 Loss_D_real: -0.024472 Loss_D_fake 0.005584
[402/5000][530/535][41278] Loss_D: -0.030021 Loss_G: 0.020497 Loss_D_real: -0.026939 Loss_D_fake 0.003082
[402/5000][535/535][41279] Loss_D: -0.028021 Loss_G: 0.000584 Loss_D_real: -0.001962 Loss_D_fake 0.026059
[403/5000][5/535][41280] Loss_D: -0.028486 Loss_G: 0.002021 Loss_D_real: -0.020535 Loss_D_fake 0.007951
[403/5000][10/535][41281] Loss_D: -0.028895 Loss_G: 0.011468 Loss_D_real: -0.014434 Loss_D_fake 0.014461
[403/5000][15/535][41282] Loss_D: -0.028409 Loss_G: 0.010879 Loss_D_real: -0.015771 Loss_D_fake 0.012638
[403/5000][20/535][41283] Loss_D: -0.027801 Loss_G: 0.005922 Loss_D_real: -0.015362 Loss_D_fake 0.012438
[403/5000][25/535][41284] Loss_D: -0.027028 Loss_G: 0.029324 Loss_D_real: -0.029716 Loss_D_fake -0.002688
[403/5000][30/535][41285] Loss_D: -0.028723 Loss_G: -0.000854 Loss_D_real: -0.006534 Loss_D_fake 0.022189
[403/5000][35/535][41286] Loss_D: -0.027196 Loss_G: 0.037211 Loss_D_real: -0.030934 Loss_D_fake -0.003738
[403/5000][40/535][41287] Loss_D: -0.027009 Loss_G: 0.000593 Loss_D_real: -0.008480 Loss_D_fake 0.018529
[403/5000][45/535][41288] Loss_D: -0.028456 Loss_G: 0.015517 Loss_D_real: -0.014825 Loss_D_fake 0.013631
[403/5000][50/535][41289] Loss_D: -0.027209 Loss_G: 0.027008 Loss_D_real: -0.018200 Loss_D_fake 0.009009
[403/5000][55/535][41290] Loss_D: -0.028175 Loss_G: 0.018159 Loss_D_real: -0.019734 Loss_D_fake 0.008441
[403/5000][60/535][41291] Loss_D: -0.028335 Loss_G: 0.023597 Loss_D_real: -0.019516 Loss_D_fake 0.008818
[403/5000][65/535][41292] Loss_D: -0.029386 Loss_G: -0.000207 Loss_D_real: -0.014422 Loss_D_fake 0.014964
[403/5000][70/535][41293] Loss_D: -0.029171 Loss_G: 0.019424 Loss_D_real: -0.016767 Loss_D_fake 0.012404
[403/5000][75/535][41294] Loss_D: -0.030479 Loss_G: 0.018324 Loss_D_real: -0.013989 Loss_D_fake 0.016490
[403/5000][80/535][41295] Loss_D: -0.028173 Loss_G: 0.028762 Loss_D_real: -0.031402 Loss_D_fake -0.003228
[403/5000][85/535][41296] Loss_D: -0.029692 Loss_G: -0.003864 Loss_D_real: -0.019949 Loss_D_fake 0.009743
[403/5000][90/535][41297] Loss_D: -0.028283 Loss_G: -0.003803 Loss_D_real: -0.009918 Loss_D_fake 0.018365
[403/5000][95/535][41298] Loss_D: -0.028919 Loss_G: 0.041417 Loss_D_real: -0.031578 Loss_D_fake -0.002659
[403/5000][100/535][41299] Loss_D: -0.029823 Loss_G: 0.007887 Loss_D_real: -0.013435 Loss_D_fake 0.016389
[403/5000][105/535][41300] Loss_D: -0.028657 Loss_G: 0.019113 Loss_D_real: -0.032158 Loss_D_fake -0.003501
[403/5000][110/535][41301] Loss_D: -0.029515 Loss_G: 0.015661 Loss_D_real: -0.011339 Loss_D_fake 0.018176
[403/5000][115/535][41302] Loss_D: -0.028377 Loss_G: 0.033221 Loss_D_real: -0.029250 Loss_D_fake -0.000873
[403/5000][120/535][41303] Loss_D: -0.029899 Loss_G: 0.006199 Loss_D_real: -0.018987 Loss_D_fake 0.010912
[403/5000][125/535][41304] Loss_D: -0.030702 Loss_G: 0.013985 Loss_D_real: -0.004295 Loss_D_fake 0.026407
[403/5000][130/535][41305] Loss_D: -0.028032 Loss_G: 0.028927 Loss_D_real: -0.025709 Loss_D_fake 0.002323
[403/5000][135/535][41306] Loss_D: -0.030195 Loss_G: 0.010499 Loss_D_real: -0.018071 Loss_D_fake 0.012124
[403/5000][140/535][41307] Loss_D: -0.027825 Loss_G: 0.019406 Loss_D_real: -0.030044 Loss_D_fake -0.002219
[403/5000][145/535][41308] Loss_D: -0.028706 Loss_G: 0.039157 Loss_D_real: -0.030668 Loss_D_fake -0.001961
[403/5000][150/535][41309] Loss_D: -0.029298 Loss_G: -0.005883 Loss_D_real: -0.011791 Loss_D_fake 0.017507
[403/5000][155/535][41310] Loss_D: -0.029190 Loss_G: 0.010453 Loss_D_real: -0.018362 Loss_D_fake 0.010829
[403/5000][160/535][41311] Loss_D: -0.029335 Loss_G: 0.020956 Loss_D_real: -0.017805 Loss_D_fake 0.011530
[403/5000][165/535][41312] Loss_D: -0.029344 Loss_G: 0.021780 Loss_D_real: -0.027379 Loss_D_fake 0.001965
[403/5000][170/535][41313] Loss_D: -0.028796 Loss_G: 0.018465 Loss_D_real: -0.024206 Loss_D_fake 0.004590
[403/5000][175/535][41314] Loss_D: -0.027657 Loss_G: 0.000614 Loss_D_real: 0.002847 Loss_D_fake 0.030503
[403/5000][180/535][41315] Loss_D: -0.028577 Loss_G: 0.019059 Loss_D_real: -0.027937 Loss_D_fake 0.000640
[403/5000][185/535][41316] Loss_D: -0.029016 Loss_G: 0.001336 Loss_D_real: -0.006194 Loss_D_fake 0.022821
[403/5000][190/535][41317] Loss_D: -0.028087 Loss_G: 0.020687 Loss_D_real: -0.018994 Loss_D_fake 0.009093
[403/5000][195/535][41318] Loss_D: -0.029008 Loss_G: 0.005393 Loss_D_real: -0.011228 Loss_D_fake 0.017780
[403/5000][200/535][41319] Loss_D: -0.029295 Loss_G: 0.028871 Loss_D_real: -0.028938 Loss_D_fake 0.000356
[403/5000][205/535][41320] Loss_D: -0.027896 Loss_G: 0.012572 Loss_D_real: -0.017249 Loss_D_fake 0.010647
[403/5000][210/535][41321] Loss_D: -0.029182 Loss_G: 0.026325 Loss_D_real: -0.039069 Loss_D_fake -0.009888
[403/5000][215/535][41322] Loss_D: -0.027552 Loss_G: -0.005177 Loss_D_real: -0.008810 Loss_D_fake 0.018742
[403/5000][220/535][41323] Loss_D: -0.028975 Loss_G: 0.015886 Loss_D_real: -0.009434 Loss_D_fake 0.019541
[403/5000][225/535][41324] Loss_D: -0.028498 Loss_G: 0.010906 Loss_D_real: -0.025486 Loss_D_fake 0.003011
[403/5000][230/535][41325] Loss_D: -0.028083 Loss_G: 0.021453 Loss_D_real: -0.024124 Loss_D_fake 0.003959
[403/5000][235/535][41326] Loss_D: -0.030609 Loss_G: 0.017191 Loss_D_real: -0.013279 Loss_D_fake 0.017331
[403/5000][240/535][41327] Loss_D: -0.029225 Loss_G: 0.019674 Loss_D_real: -0.018018 Loss_D_fake 0.011207
[403/5000][245/535][41328] Loss_D: -0.025368 Loss_G: 0.042689 Loss_D_real: -0.033054 Loss_D_fake -0.007687
[403/5000][250/535][41329] Loss_D: -0.028107 Loss_G: 0.026560 Loss_D_real: -0.036937 Loss_D_fake -0.008830
[403/5000][255/535][41330] Loss_D: -0.031207 Loss_G: 0.007406 Loss_D_real: -0.009919 Loss_D_fake 0.021287
[403/5000][260/535][41331] Loss_D: -0.029846 Loss_G: 0.017478 Loss_D_real: -0.022882 Loss_D_fake 0.006964
[403/5000][265/535][41332] Loss_D: -0.030455 Loss_G: 0.019029 Loss_D_real: -0.021747 Loss_D_fake 0.008708
[403/5000][270/535][41333] Loss_D: -0.030267 Loss_G: 0.003785 Loss_D_real: -0.010417 Loss_D_fake 0.019850
[403/5000][275/535][41334] Loss_D: -0.029374 Loss_G: 0.020003 Loss_D_real: -0.006249 Loss_D_fake 0.023124
[403/5000][280/535][41335] Loss_D: -0.028368 Loss_G: -0.004068 Loss_D_real: -0.007120 Loss_D_fake 0.021248
[403/5000][285/535][41336] Loss_D: -0.029356 Loss_G: 0.016675 Loss_D_real: -0.024512 Loss_D_fake 0.004844
[403/5000][290/535][41337] Loss_D: -0.028866 Loss_G: 0.032374 Loss_D_real: -0.034280 Loss_D_fake -0.005414
[403/5000][295/535][41338] Loss_D: -0.028940 Loss_G: 0.012426 Loss_D_real: -0.016903 Loss_D_fake 0.012037
[403/5000][300/535][41339] Loss_D: -0.030449 Loss_G: 0.010217 Loss_D_real: -0.020754 Loss_D_fake 0.009695
[403/5000][305/535][41340] Loss_D: -0.030231 Loss_G: 0.023769 Loss_D_real: -0.025334 Loss_D_fake 0.004897
[403/5000][310/535][41341] Loss_D: -0.029934 Loss_G: 0.031298 Loss_D_real: -0.025213 Loss_D_fake 0.004721
[403/5000][315/535][41342] Loss_D: -0.029701 Loss_G: -0.001226 Loss_D_real: -0.005617 Loss_D_fake 0.024084
[403/5000][320/535][41343] Loss_D: -0.028026 Loss_G: 0.013600 Loss_D_real: -0.015260 Loss_D_fake 0.012766
[403/5000][325/535][41344] Loss_D: -0.028376 Loss_G: -0.009885 Loss_D_real: 0.003566 Loss_D_fake 0.031942
[403/5000][330/535][41345] Loss_D: -0.026328 Loss_G: 0.031885 Loss_D_real: -0.035201 Loss_D_fake -0.008873
[403/5000][335/535][41346] Loss_D: -0.028864 Loss_G: -0.005477 Loss_D_real: -0.008429 Loss_D_fake 0.020435
[403/5000][340/535][41347] Loss_D: -0.027681 Loss_G: 0.009760 Loss_D_real: -0.010824 Loss_D_fake 0.016857
[403/5000][345/535][41348] Loss_D: -0.029181 Loss_G: 0.026022 Loss_D_real: -0.025436 Loss_D_fake 0.003745
[403/5000][350/535][41349] Loss_D: -0.029545 Loss_G: 0.015163 Loss_D_real: -0.016368 Loss_D_fake 0.013178
[403/5000][355/535][41350] Loss_D: -0.029357 Loss_G: -0.004388 Loss_D_real: -0.007436 Loss_D_fake 0.021921
[403/5000][360/535][41351] Loss_D: -0.028818 Loss_G: 0.024235 Loss_D_real: -0.033373 Loss_D_fake -0.004555
[403/5000][365/535][41352] Loss_D: -0.029214 Loss_G: -0.003718 Loss_D_real: -0.008871 Loss_D_fake 0.020344
[403/5000][370/535][41353] Loss_D: -0.028616 Loss_G: 0.021685 Loss_D_real: -0.021901 Loss_D_fake 0.006715
[403/5000][375/535][41354] Loss_D: -0.027849 Loss_G: 0.015402 Loss_D_real: -0.021510 Loss_D_fake 0.006340
[403/5000][380/535][41355] Loss_D: -0.029568 Loss_G: 0.012795 Loss_D_real: -0.021803 Loss_D_fake 0.007765
[403/5000][385/535][41356] Loss_D: -0.027943 Loss_G: 0.021827 Loss_D_real: -0.032985 Loss_D_fake -0.005043
[403/5000][390/535][41357] Loss_D: -0.027954 Loss_G: 0.008567 Loss_D_real: -0.016828 Loss_D_fake 0.011126
[403/5000][395/535][41358] Loss_D: -0.029002 Loss_G: 0.027034 Loss_D_real: -0.023925 Loss_D_fake 0.005077
[403/5000][400/535][41359] Loss_D: -0.028039 Loss_G: 0.002018 Loss_D_real: 0.001234 Loss_D_fake 0.029273
[403/5000][405/535][41360] Loss_D: -0.027649 Loss_G: -0.009688 Loss_D_real: -0.009166 Loss_D_fake 0.018483
[403/5000][410/535][41361] Loss_D: -0.028519 Loss_G: 0.035184 Loss_D_real: -0.026476 Loss_D_fake 0.002043
[403/5000][415/535][41362] Loss_D: -0.028765 Loss_G: -0.002557 Loss_D_real: -0.005363 Loss_D_fake 0.023402
[403/5000][420/535][41363] Loss_D: -0.029120 Loss_G: 0.013290 Loss_D_real: -0.018502 Loss_D_fake 0.010618
[403/5000][425/535][41364] Loss_D: -0.029519 Loss_G: 0.035985 Loss_D_real: -0.031676 Loss_D_fake -0.002156
[403/5000][430/535][41365] Loss_D: -0.031015 Loss_G: 0.007402 Loss_D_real: -0.016417 Loss_D_fake 0.014598
[403/5000][435/535][41366] Loss_D: -0.027872 Loss_G: 0.019682 Loss_D_real: -0.019204 Loss_D_fake 0.008668
[403/5000][440/535][41367] Loss_D: -0.029565 Loss_G: 0.021050 Loss_D_real: -0.032422 Loss_D_fake -0.002856
[403/5000][445/535][41368] Loss_D: -0.028807 Loss_G: 0.016909 Loss_D_real: -0.010040 Loss_D_fake 0.018767
[403/5000][450/535][41369] Loss_D: -0.029131 Loss_G: 0.009945 Loss_D_real: -0.018219 Loss_D_fake 0.010912
[403/5000][455/535][41370] Loss_D: -0.028335 Loss_G: -0.000220 Loss_D_real: -0.003843 Loss_D_fake 0.024492
[403/5000][460/535][41371] Loss_D: -0.027490 Loss_G: 0.024717 Loss_D_real: -0.020978 Loss_D_fake 0.006512
[403/5000][465/535][41372] Loss_D: -0.027843 Loss_G: -0.000481 Loss_D_real: -0.012732 Loss_D_fake 0.015111
[403/5000][470/535][41373] Loss_D: -0.028851 Loss_G: 0.024151 Loss_D_real: -0.032125 Loss_D_fake -0.003274
[403/5000][475/535][41374] Loss_D: -0.027690 Loss_G: 0.001085 Loss_D_real: -0.012166 Loss_D_fake 0.015524
[403/5000][480/535][41375] Loss_D: -0.028666 Loss_G: 0.021680 Loss_D_real: -0.015570 Loss_D_fake 0.013097
[403/5000][485/535][41376] Loss_D: -0.030631 Loss_G: 0.012195 Loss_D_real: -0.008142 Loss_D_fake 0.022488
[403/5000][490/535][41377] Loss_D: -0.028239 Loss_G: 0.028545 Loss_D_real: -0.023115 Loss_D_fake 0.005124
[403/5000][495/535][41378] Loss_D: -0.029554 Loss_G: 0.018713 Loss_D_real: -0.015750 Loss_D_fake 0.013804
[403/5000][500/535][41379] Loss_D: -0.029367 Loss_G: 0.014973 Loss_D_real: -0.008783 Loss_D_fake 0.020583
[403/5000][505/535][41380] Loss_D: -0.028826 Loss_G: 0.034027 Loss_D_real: -0.029778 Loss_D_fake -0.000952
[403/5000][510/535][41381] Loss_D: -0.026768 Loss_G: -0.015944 Loss_D_real: 0.009115 Loss_D_fake 0.035883
[403/5000][515/535][41382] Loss_D: -0.027529 Loss_G: 0.002997 Loss_D_real: -0.003529 Loss_D_fake 0.024000
[403/5000][520/535][41383] Loss_D: -0.025963 Loss_G: 0.028399 Loss_D_real: -0.032314 Loss_D_fake -0.006350
[403/5000][525/535][41384] Loss_D: -0.029372 Loss_G: 0.015979 Loss_D_real: -0.018497 Loss_D_fake 0.010874
[403/5000][530/535][41385] Loss_D: -0.028889 Loss_G: 0.010004 Loss_D_real: -0.015255 Loss_D_fake 0.013634
[403/5000][535/535][41386] Loss_D: -0.026964 Loss_G: 0.003549 Loss_D_real: -0.017089 Loss_D_fake 0.009875
[404/5000][5/535][41387] Loss_D: -0.028954 Loss_G: -0.001486 Loss_D_real: -0.002108 Loss_D_fake 0.026846
[404/5000][10/535][41388] Loss_D: -0.028047 Loss_G: 0.023946 Loss_D_real: -0.023379 Loss_D_fake 0.004668
[404/5000][15/535][41389] Loss_D: -0.029813 Loss_G: 0.000673 Loss_D_real: -0.009927 Loss_D_fake 0.019886
[404/5000][20/535][41390] Loss_D: -0.029000 Loss_G: 0.022467 Loss_D_real: -0.028849 Loss_D_fake 0.000151
[404/5000][25/535][41391] Loss_D: -0.030453 Loss_G: 0.030462 Loss_D_real: -0.023708 Loss_D_fake 0.006744
[404/5000][30/535][41392] Loss_D: -0.027668 Loss_G: 0.031432 Loss_D_real: -0.019602 Loss_D_fake 0.008066
[404/5000][35/535][41393] Loss_D: -0.028734 Loss_G: 0.009286 Loss_D_real: -0.021123 Loss_D_fake 0.007610
[404/5000][40/535][41394] Loss_D: -0.028112 Loss_G: 0.007213 Loss_D_real: -0.007881 Loss_D_fake 0.020231
[404/5000][45/535][41395] Loss_D: -0.029581 Loss_G: 0.026035 Loss_D_real: -0.027183 Loss_D_fake 0.002398
[404/5000][50/535][41396] Loss_D: -0.028779 Loss_G: -0.002287 Loss_D_real: 0.005022 Loss_D_fake 0.033800
[404/5000][55/535][41397] Loss_D: -0.027691 Loss_G: 0.011651 Loss_D_real: -0.018358 Loss_D_fake 0.009333
[404/5000][60/535][41398] Loss_D: -0.029775 Loss_G: 0.026124 Loss_D_real: -0.023933 Loss_D_fake 0.005842
[404/5000][65/535][41399] Loss_D: -0.029498 Loss_G: 0.015608 Loss_D_real: -0.026402 Loss_D_fake 0.003096
[404/5000][70/535][41400] Loss_D: -0.030158 Loss_G: 0.008084 Loss_D_real: -0.014219 Loss_D_fake 0.015939
[404/5000][75/535][41401] Loss_D: -0.028136 Loss_G: 0.037799 Loss_D_real: -0.024237 Loss_D_fake 0.003899
[404/5000][80/535][41402] Loss_D: -0.029879 Loss_G: 0.007064 Loss_D_real: -0.015192 Loss_D_fake 0.014687
[404/5000][85/535][41403] Loss_D: -0.027893 Loss_G: -0.009292 Loss_D_real: -0.006495 Loss_D_fake 0.021397
[404/5000][90/535][41404] Loss_D: -0.029307 Loss_G: 0.024495 Loss_D_real: -0.028324 Loss_D_fake 0.000983
[404/5000][95/535][41405] Loss_D: -0.027343 Loss_G: -0.011599 Loss_D_real: -0.000762 Loss_D_fake 0.026582
[404/5000][100/535][41406] Loss_D: -0.029834 Loss_G: 0.019540 Loss_D_real: -0.020843 Loss_D_fake 0.008991
[404/5000][105/535][41407] Loss_D: -0.028177 Loss_G: 0.001267 Loss_D_real: -0.005150 Loss_D_fake 0.023027
[404/5000][110/535][41408] Loss_D: -0.029304 Loss_G: 0.027549 Loss_D_real: -0.027595 Loss_D_fake 0.001709
[404/5000][115/535][41409] Loss_D: -0.029343 Loss_G: 0.002616 Loss_D_real: -0.007286 Loss_D_fake 0.022057
[404/5000][120/535][41410] Loss_D: -0.029489 Loss_G: 0.022475 Loss_D_real: -0.023469 Loss_D_fake 0.006020
[404/5000][125/535][41411] Loss_D: -0.030114 Loss_G: 0.012374 Loss_D_real: -0.015801 Loss_D_fake 0.014312
[404/5000][130/535][41412] Loss_D: -0.029662 Loss_G: 0.017588 Loss_D_real: -0.016373 Loss_D_fake 0.013289
[404/5000][135/535][41413] Loss_D: -0.029577 Loss_G: 0.016922 Loss_D_real: -0.024755 Loss_D_fake 0.004822
[404/5000][140/535][41414] Loss_D: -0.029484 Loss_G: 0.024526 Loss_D_real: -0.028027 Loss_D_fake 0.001457
[404/5000][145/535][41415] Loss_D: -0.027300 Loss_G: -0.012772 Loss_D_real: 0.001878 Loss_D_fake 0.029178
[404/5000][150/535][41416] Loss_D: -0.029976 Loss_G: 0.026426 Loss_D_real: -0.023700 Loss_D_fake 0.006276
[404/5000][155/535][41417] Loss_D: -0.028556 Loss_G: 0.024138 Loss_D_real: -0.027871 Loss_D_fake 0.000685
[404/5000][160/535][41418] Loss_D: -0.028953 Loss_G: 0.001146 Loss_D_real: -0.010211 Loss_D_fake 0.018742
[404/5000][165/535][41419] Loss_D: -0.028250 Loss_G: 0.007384 Loss_D_real: -0.022606 Loss_D_fake 0.005644
[404/5000][170/535][41420] Loss_D: -0.027991 Loss_G: 0.044199 Loss_D_real: -0.032391 Loss_D_fake -0.004399
[404/5000][175/535][41421] Loss_D: -0.026887 Loss_G: 0.016546 Loss_D_real: -0.022800 Loss_D_fake 0.004088
[404/5000][180/535][41422] Loss_D: -0.027206 Loss_G: -0.001045 Loss_D_real: -0.010260 Loss_D_fake 0.016947
[404/5000][185/535][41423] Loss_D: -0.029617 Loss_G: 0.030374 Loss_D_real: -0.029765 Loss_D_fake -0.000148
[404/5000][190/535][41424] Loss_D: -0.028786 Loss_G: 0.024767 Loss_D_real: -0.029185 Loss_D_fake -0.000399
[404/5000][195/535][41425] Loss_D: -0.028198 Loss_G: 0.007049 Loss_D_real: -0.008457 Loss_D_fake 0.019742
[404/5000][200/535][41426] Loss_D: -0.028025 Loss_G: 0.019030 Loss_D_real: -0.030842 Loss_D_fake -0.002817
[404/5000][205/535][41427] Loss_D: -0.030375 Loss_G: 0.017046 Loss_D_real: -0.021139 Loss_D_fake 0.009237
[404/5000][210/535][41428] Loss_D: -0.027286 Loss_G: 0.009822 Loss_D_real: -0.012777 Loss_D_fake 0.014509
[404/5000][215/535][41429] Loss_D: -0.027975 Loss_G: -0.000706 Loss_D_real: -0.013652 Loss_D_fake 0.014323
[404/5000][220/535][41430] Loss_D: -0.026548 Loss_G: 0.041903 Loss_D_real: -0.045694 Loss_D_fake -0.019146
[404/5000][225/535][41431] Loss_D: -0.029923 Loss_G: 0.008492 Loss_D_real: -0.011012 Loss_D_fake 0.018912
[404/5000][230/535][41432] Loss_D: -0.027737 Loss_G: 0.007428 Loss_D_real: -0.010963 Loss_D_fake 0.016774
[404/5000][235/535][41433] Loss_D: -0.029489 Loss_G: 0.025189 Loss_D_real: -0.033832 Loss_D_fake -0.004343
[404/5000][240/535][41434] Loss_D: -0.029112 Loss_G: -0.004956 Loss_D_real: 0.001328 Loss_D_fake 0.030439
[404/5000][245/535][41435] Loss_D: -0.029906 Loss_G: -0.001901 Loss_D_real: -0.008964 Loss_D_fake 0.020943
[404/5000][250/535][41436] Loss_D: -0.030002 Loss_G: 0.023618 Loss_D_real: -0.020781 Loss_D_fake 0.009220
[404/5000][255/535][41437] Loss_D: -0.027711 Loss_G: 0.026278 Loss_D_real: -0.025295 Loss_D_fake 0.002416
[404/5000][260/535][41438] Loss_D: -0.028814 Loss_G: 0.004518 Loss_D_real: -0.001626 Loss_D_fake 0.027189
[404/5000][265/535][41439] Loss_D: -0.028777 Loss_G: 0.010535 Loss_D_real: -0.014460 Loss_D_fake 0.014317
[404/5000][270/535][41440] Loss_D: -0.026618 Loss_G: 0.028811 Loss_D_real: -0.026514 Loss_D_fake 0.000104
[404/5000][275/535][41441] Loss_D: -0.030768 Loss_G: 0.004091 Loss_D_real: -0.020811 Loss_D_fake 0.009957
[404/5000][280/535][41442] Loss_D: -0.029843 Loss_G: 0.015678 Loss_D_real: -0.015940 Loss_D_fake 0.013902
[404/5000][285/535][41443] Loss_D: -0.028254 Loss_G: -0.006237 Loss_D_real: -0.002945 Loss_D_fake 0.025310
[404/5000][290/535][41444] Loss_D: -0.028181 Loss_G: 0.027782 Loss_D_real: -0.020158 Loss_D_fake 0.008023
[404/5000][295/535][41445] Loss_D: -0.027830 Loss_G: 0.030975 Loss_D_real: -0.030080 Loss_D_fake -0.002250
[404/5000][300/535][41446] Loss_D: -0.027525 Loss_G: 0.016275 Loss_D_real: -0.015334 Loss_D_fake 0.012191
[404/5000][305/535][41447] Loss_D: -0.029252 Loss_G: 0.003285 Loss_D_real: -0.008349 Loss_D_fake 0.020903
[404/5000][310/535][41448] Loss_D: -0.027731 Loss_G: 0.007399 Loss_D_real: -0.021760 Loss_D_fake 0.005971
[404/5000][315/535][41449] Loss_D: -0.028958 Loss_G: 0.023265 Loss_D_real: -0.021128 Loss_D_fake 0.007830
[404/5000][320/535][41450] Loss_D: -0.027832 Loss_G: -0.013085 Loss_D_real: -0.005598 Loss_D_fake 0.022235
[404/5000][325/535][41451] Loss_D: -0.027885 Loss_G: 0.034439 Loss_D_real: -0.024699 Loss_D_fake 0.003186
[404/5000][330/535][41452] Loss_D: -0.028817 Loss_G: 0.005316 Loss_D_real: -0.012809 Loss_D_fake 0.016007
[404/5000][335/535][41453] Loss_D: -0.028486 Loss_G: -0.006461 Loss_D_real: -0.010608 Loss_D_fake 0.017878
[404/5000][340/535][41454] Loss_D: -0.027323 Loss_G: 0.000049 Loss_D_real: -0.010539 Loss_D_fake 0.016783
[404/5000][345/535][41455] Loss_D: -0.029486 Loss_G: 0.022351 Loss_D_real: -0.022800 Loss_D_fake 0.006686
[404/5000][350/535][41456] Loss_D: -0.027364 Loss_G: 0.004631 Loss_D_real: -0.016478 Loss_D_fake 0.010886
[404/5000][355/535][41457] Loss_D: -0.030099 Loss_G: 0.018104 Loss_D_real: -0.022786 Loss_D_fake 0.007313
[404/5000][360/535][41458] Loss_D: -0.028285 Loss_G: 0.005126 Loss_D_real: -0.011508 Loss_D_fake 0.016776
[404/5000][365/535][41459] Loss_D: -0.029264 Loss_G: 0.020420 Loss_D_real: -0.020702 Loss_D_fake 0.008561
[404/5000][370/535][41460] Loss_D: -0.029620 Loss_G: 0.023375 Loss_D_real: -0.019999 Loss_D_fake 0.009620
[404/5000][375/535][41461] Loss_D: -0.029738 Loss_G: 0.012688 Loss_D_real: -0.015884 Loss_D_fake 0.013854
[404/5000][380/535][41462] Loss_D: -0.027602 Loss_G: 0.020028 Loss_D_real: -0.029507 Loss_D_fake -0.001905
[404/5000][385/535][41463] Loss_D: -0.029626 Loss_G: -0.005659 Loss_D_real: -0.005851 Loss_D_fake 0.023775
[404/5000][390/535][41464] Loss_D: -0.026962 Loss_G: 0.036414 Loss_D_real: -0.039609 Loss_D_fake -0.012647
[404/5000][395/535][41465] Loss_D: -0.027431 Loss_G: 0.004553 Loss_D_real: -0.006689 Loss_D_fake 0.020742
[404/5000][400/535][41466] Loss_D: -0.028331 Loss_G: 0.022195 Loss_D_real: -0.023430 Loss_D_fake 0.004902
[404/5000][405/535][41467] Loss_D: -0.029074 Loss_G: 0.005099 Loss_D_real: -0.011567 Loss_D_fake 0.017507
[404/5000][410/535][41468] Loss_D: -0.028728 Loss_G: 0.031865 Loss_D_real: -0.035132 Loss_D_fake -0.006405
[404/5000][415/535][41469] Loss_D: -0.030224 Loss_G: 0.001931 Loss_D_real: 0.004549 Loss_D_fake 0.034773
[404/5000][420/535][41470] Loss_D: -0.028561 Loss_G: 0.004855 Loss_D_real: -0.010167 Loss_D_fake 0.018394
[404/5000][425/535][41471] Loss_D: -0.030147 Loss_G: 0.020539 Loss_D_real: -0.021752 Loss_D_fake 0.008394
[404/5000][430/535][41472] Loss_D: -0.028757 Loss_G: 0.010937 Loss_D_real: -0.015175 Loss_D_fake 0.013582
[404/5000][435/535][41473] Loss_D: -0.029468 Loss_G: 0.034413 Loss_D_real: -0.032723 Loss_D_fake -0.003255
[404/5000][440/535][41474] Loss_D: -0.029227 Loss_G: 0.007472 Loss_D_real: -0.012191 Loss_D_fake 0.017035
[404/5000][445/535][41475] Loss_D: -0.029396 Loss_G: 0.016884 Loss_D_real: -0.020896 Loss_D_fake 0.008500
[404/5000][450/535][41476] Loss_D: -0.029574 Loss_G: 0.005046 Loss_D_real: -0.018659 Loss_D_fake 0.010915
[404/5000][455/535][41477] Loss_D: -0.027420 Loss_G: 0.037930 Loss_D_real: -0.032102 Loss_D_fake -0.004682
[404/5000][460/535][41478] Loss_D: -0.027903 Loss_G: -0.015300 Loss_D_real: -0.004340 Loss_D_fake 0.023563
[404/5000][465/535][41479] Loss_D: -0.029257 Loss_G: 0.004834 Loss_D_real: -0.014339 Loss_D_fake 0.014917
[404/5000][470/535][41480] Loss_D: -0.030044 Loss_G: 0.017942 Loss_D_real: -0.031154 Loss_D_fake -0.001110
[404/5000][475/535][41481] Loss_D: -0.028944 Loss_G: 0.004753 Loss_D_real: -0.015417 Loss_D_fake 0.013527
[404/5000][480/535][41482] Loss_D: -0.028547 Loss_G: 0.018595 Loss_D_real: -0.016969 Loss_D_fake 0.011578
[404/5000][485/535][41483] Loss_D: -0.027922 Loss_G: 0.002776 Loss_D_real: -0.004092 Loss_D_fake 0.023830
[404/5000][490/535][41484] Loss_D: -0.027707 Loss_G: 0.010775 Loss_D_real: -0.014579 Loss_D_fake 0.013128
[404/5000][495/535][41485] Loss_D: -0.029258 Loss_G: 0.010372 Loss_D_real: -0.025851 Loss_D_fake 0.003407
[404/5000][500/535][41486] Loss_D: -0.029564 Loss_G: 0.035980 Loss_D_real: -0.024532 Loss_D_fake 0.005031
[404/5000][505/535][41487] Loss_D: -0.029269 Loss_G: 0.024381 Loss_D_real: -0.042270 Loss_D_fake -0.013001
[404/5000][510/535][41488] Loss_D: -0.030508 Loss_G: 0.025125 Loss_D_real: -0.022048 Loss_D_fake 0.008461
[404/5000][515/535][41489] Loss_D: -0.028332 Loss_G: -0.002033 Loss_D_real: -0.009001 Loss_D_fake 0.019331
[404/5000][520/535][41490] Loss_D: -0.028355 Loss_G: 0.018335 Loss_D_real: -0.023022 Loss_D_fake 0.005333
[404/5000][525/535][41491] Loss_D: -0.028592 Loss_G: 0.017800 Loss_D_real: -0.020150 Loss_D_fake 0.008441
[404/5000][530/535][41492] Loss_D: -0.030395 Loss_G: 0.011441 Loss_D_real: -0.016655 Loss_D_fake 0.013740
[404/5000][535/535][41493] Loss_D: -0.028242 Loss_G: 0.017606 Loss_D_real: -0.015032 Loss_D_fake 0.013210
[405/5000][5/535][41494] Loss_D: -0.027752 Loss_G: 0.012218 Loss_D_real: -0.009890 Loss_D_fake 0.017862
[405/5000][10/535][41495] Loss_D: -0.027993 Loss_G: 0.027366 Loss_D_real: -0.026476 Loss_D_fake 0.001516
[405/5000][15/535][41496] Loss_D: -0.028352 Loss_G: 0.028336 Loss_D_real: -0.030148 Loss_D_fake -0.001796
[405/5000][20/535][41497] Loss_D: -0.028894 Loss_G: -0.012489 Loss_D_real: -0.004842 Loss_D_fake 0.024052
[405/5000][25/535][41498] Loss_D: -0.027726 Loss_G: 0.024728 Loss_D_real: -0.025135 Loss_D_fake 0.002591
[405/5000][30/535][41499] Loss_D: -0.028013 Loss_G: 0.023663 Loss_D_real: -0.020569 Loss_D_fake 0.007443
[405/5000][35/535][41500] Loss_D: -0.028128 Loss_G: 0.029777 Loss_D_real: -0.027039 Loss_D_fake 0.001089
[405/5000][135/535][41501] Loss_D: -0.029631 Loss_G: -0.005240 Loss_D_real: 0.005602 Loss_D_fake 0.035233
[405/5000][140/535][41502] Loss_D: -0.029188 Loss_G: 0.016465 Loss_D_real: -0.008356 Loss_D_fake 0.020832
[405/5000][145/535][41503] Loss_D: -0.026938 Loss_G: 0.005679 Loss_D_real: -0.020709 Loss_D_fake 0.006230
[405/5000][150/535][41504] Loss_D: -0.028820 Loss_G: 0.021280 Loss_D_real: -0.024347 Loss_D_fake 0.004473
[405/5000][155/535][41505] Loss_D: -0.029405 Loss_G: 0.024581 Loss_D_real: -0.024482 Loss_D_fake 0.004923
[405/5000][160/535][41506] Loss_D: -0.028736 Loss_G: 0.032873 Loss_D_real: -0.023702 Loss_D_fake 0.005034
[405/5000][165/535][41507] Loss_D: -0.029360 Loss_G: 0.013387 Loss_D_real: -0.015453 Loss_D_fake 0.013906
[405/5000][170/535][41508] Loss_D: -0.027613 Loss_G: 0.032459 Loss_D_real: -0.032136 Loss_D_fake -0.004523
[405/5000][175/535][41509] Loss_D: -0.029014 Loss_G: 0.021292 Loss_D_real: -0.023612 Loss_D_fake 0.005402
[405/5000][180/535][41510] Loss_D: -0.031173 Loss_G: 0.017263 Loss_D_real: -0.018733 Loss_D_fake 0.012440
[405/5000][185/535][41511] Loss_D: -0.027954 Loss_G: 0.013450 Loss_D_real: -0.022104 Loss_D_fake 0.005850
[405/5000][190/535][41512] Loss_D: -0.028269 Loss_G: 0.001537 Loss_D_real: -0.006046 Loss_D_fake 0.022223
[405/5000][195/535][41513] Loss_D: -0.028829 Loss_G: 0.010543 Loss_D_real: -0.024290 Loss_D_fake 0.004539
[405/5000][200/535][41514] Loss_D: -0.027984 Loss_G: -0.000972 Loss_D_real: -0.018490 Loss_D_fake 0.009494
[405/5000][205/535][41515] Loss_D: -0.028806 Loss_G: 0.010558 Loss_D_real: -0.016344 Loss_D_fake 0.012461
[405/5000][210/535][41516] Loss_D: -0.027617 Loss_G: 0.027825 Loss_D_real: -0.031495 Loss_D_fake -0.003878
[405/5000][215/535][41517] Loss_D: -0.029717 Loss_G: 0.009383 Loss_D_real: -0.027886 Loss_D_fake 0.001831
[405/5000][220/535][41518] Loss_D: -0.029888 Loss_G: 0.024277 Loss_D_real: -0.028798 Loss_D_fake 0.001091
[405/5000][225/535][41519] Loss_D: -0.027930 Loss_G: 0.010521 Loss_D_real: -0.009613 Loss_D_fake 0.018317
[405/5000][230/535][41520] Loss_D: -0.029256 Loss_G: 0.025100 Loss_D_real: -0.028847 Loss_D_fake 0.000409
[405/5000][235/535][41521] Loss_D: -0.028742 Loss_G: 0.035898 Loss_D_real: -0.026550 Loss_D_fake 0.002192
[405/5000][240/535][41522] Loss_D: -0.027169 Loss_G: -0.011791 Loss_D_real: 0.001682 Loss_D_fake 0.028851
[405/5000][245/535][41523] Loss_D: -0.028537 Loss_G: 0.014361 Loss_D_real: -0.014710 Loss_D_fake 0.013827
[405/5000][250/535][41524] Loss_D: -0.028225 Loss_G: -0.011986 Loss_D_real: -0.013992 Loss_D_fake 0.014232
[405/5000][255/535][41525] Loss_D: -0.028854 Loss_G: 0.019807 Loss_D_real: -0.017019 Loss_D_fake 0.011835
[405/5000][260/535][41526] Loss_D: -0.028289 Loss_G: -0.007219 Loss_D_real: 0.005869 Loss_D_fake 0.034158
[405/5000][265/535][41527] Loss_D: -0.027169 Loss_G: 0.011801 Loss_D_real: -0.030116 Loss_D_fake -0.002947
[405/5000][270/535][41528] Loss_D: -0.027882 Loss_G: 0.005360 Loss_D_real: -0.008565 Loss_D_fake 0.019317
[405/5000][275/535][41529] Loss_D: -0.028948 Loss_G: -0.004018 Loss_D_real: -0.020176 Loss_D_fake 0.008772
[405/5000][280/535][41530] Loss_D: -0.029994 Loss_G: 0.016148 Loss_D_real: -0.028048 Loss_D_fake 0.001946
[405/5000][285/535][41531] Loss_D: -0.028326 Loss_G: 0.030396 Loss_D_real: -0.028438 Loss_D_fake -0.000112
[405/5000][290/535][41532] Loss_D: -0.029977 Loss_G: 0.004107 Loss_D_real: -0.008992 Loss_D_fake 0.020985
[405/5000][295/535][41533] Loss_D: -0.028950 Loss_G: 0.015644 Loss_D_real: -0.023343 Loss_D_fake 0.005607
[405/5000][300/535][41534] Loss_D: -0.028232 Loss_G: -0.005385 Loss_D_real: -0.007241 Loss_D_fake 0.020990
[405/5000][305/535][41535] Loss_D: -0.027109 Loss_G: -0.012765 Loss_D_real: -0.000133 Loss_D_fake 0.026976
[405/5000][310/535][41536] Loss_D: -0.026858 Loss_G: 0.015038 Loss_D_real: -0.024394 Loss_D_fake 0.002463
[405/5000][315/535][41537] Loss_D: -0.029069 Loss_G: 0.029179 Loss_D_real: -0.031190 Loss_D_fake -0.002121
[405/5000][320/535][41538] Loss_D: -0.028874 Loss_G: 0.012305 Loss_D_real: -0.028602 Loss_D_fake 0.000272
[405/5000][325/535][41539] Loss_D: -0.029560 Loss_G: 0.003664 Loss_D_real: -0.008643 Loss_D_fake 0.020917
[405/5000][330/535][41540] Loss_D: -0.029436 Loss_G: 0.013484 Loss_D_real: -0.024240 Loss_D_fake 0.005196
[405/5000][335/535][41541] Loss_D: -0.028705 Loss_G: 0.001231 Loss_D_real: -0.009273 Loss_D_fake 0.019432
[405/5000][340/535][41542] Loss_D: -0.027803 Loss_G: 0.017904 Loss_D_real: -0.022455 Loss_D_fake 0.005348
[405/5000][345/535][41543] Loss_D: -0.028876 Loss_G: -0.004325 Loss_D_real: -0.007153 Loss_D_fake 0.021722
[405/5000][350/535][41544] Loss_D: -0.027394 Loss_G: 0.011429 Loss_D_real: -0.016257 Loss_D_fake 0.011137
[405/5000][355/535][41545] Loss_D: -0.026680 Loss_G: -0.006640 Loss_D_real: -0.001925 Loss_D_fake 0.024755
[405/5000][360/535][41546] Loss_D: -0.027245 Loss_G: 0.016361 Loss_D_real: -0.021150 Loss_D_fake 0.006094
[405/5000][365/535][41547] Loss_D: -0.027667 Loss_G: -0.002059 Loss_D_real: 0.003414 Loss_D_fake 0.031080
[405/5000][370/535][41548] Loss_D: -0.028230 Loss_G: 0.008959 Loss_D_real: -0.015460 Loss_D_fake 0.012770
[405/5000][375/535][41549] Loss_D: -0.029886 Loss_G: 0.013401 Loss_D_real: -0.019476 Loss_D_fake 0.010410
[405/5000][380/535][41550] Loss_D: -0.030398 Loss_G: 0.020823 Loss_D_real: -0.021073 Loss_D_fake 0.009325
[405/5000][385/535][41551] Loss_D: -0.029703 Loss_G: 0.021252 Loss_D_real: -0.017141 Loss_D_fake 0.012562
[405/5000][390/535][41552] Loss_D: -0.029435 Loss_G: 0.017549 Loss_D_real: -0.022833 Loss_D_fake 0.006602
[405/5000][395/535][41553] Loss_D: -0.029404 Loss_G: 0.000036 Loss_D_real: -0.003261 Loss_D_fake 0.026142
[405/5000][400/535][41554] Loss_D: -0.028383 Loss_G: 0.029818 Loss_D_real: -0.024095 Loss_D_fake 0.004288
[405/5000][405/535][41555] Loss_D: -0.028542 Loss_G: 0.001596 Loss_D_real: -0.014127 Loss_D_fake 0.014415
[405/5000][410/535][41556] Loss_D: -0.028289 Loss_G: 0.034454 Loss_D_real: -0.040119 Loss_D_fake -0.011830
[405/5000][415/535][41557] Loss_D: -0.029401 Loss_G: 0.001586 Loss_D_real: -0.009000 Loss_D_fake 0.020401
[405/5000][420/535][41558] Loss_D: -0.028865 Loss_G: 0.016668 Loss_D_real: -0.020128 Loss_D_fake 0.008737
[405/5000][425/535][41559] Loss_D: -0.028107 Loss_G: 0.017731 Loss_D_real: -0.022716 Loss_D_fake 0.005391
[405/5000][430/535][41560] Loss_D: -0.028838 Loss_G: 0.012119 Loss_D_real: -0.012415 Loss_D_fake 0.016423
[405/5000][435/535][41561] Loss_D: -0.029057 Loss_G: 0.024132 Loss_D_real: -0.020453 Loss_D_fake 0.008604
[405/5000][440/535][41562] Loss_D: -0.028494 Loss_G: 0.019593 Loss_D_real: -0.019719 Loss_D_fake 0.008775
[405/5000][445/535][41563] Loss_D: -0.029394 Loss_G: 0.000427 Loss_D_real: -0.017676 Loss_D_fake 0.011718
[405/5000][450/535][41564] Loss_D: -0.028422 Loss_G: 0.024919 Loss_D_real: -0.028770 Loss_D_fake -0.000348
[405/5000][455/535][41565] Loss_D: -0.029496 Loss_G: 0.027357 Loss_D_real: -0.029051 Loss_D_fake 0.000445
[405/5000][460/535][41566] Loss_D: -0.029091 Loss_G: 0.002058 Loss_D_real: -0.014361 Loss_D_fake 0.014729
[405/5000][465/535][41567] Loss_D: -0.028864 Loss_G: 0.017261 Loss_D_real: -0.019573 Loss_D_fake 0.009291
[405/5000][470/535][41568] Loss_D: -0.030066 Loss_G: -0.005755 Loss_D_real: -0.005060 Loss_D_fake 0.025007
[405/5000][475/535][41569] Loss_D: -0.029384 Loss_G: 0.021580 Loss_D_real: -0.018231 Loss_D_fake 0.011153
[405/5000][480/535][41570] Loss_D: -0.029931 Loss_G: 0.010178 Loss_D_real: -0.010561 Loss_D_fake 0.019369
[405/5000][485/535][41571] Loss_D: -0.027584 Loss_G: 0.024306 Loss_D_real: -0.024660 Loss_D_fake 0.002924
[405/5000][490/535][41572] Loss_D: -0.028084 Loss_G: 0.015603 Loss_D_real: -0.018573 Loss_D_fake 0.009511
[405/5000][495/535][41573] Loss_D: -0.027864 Loss_G: -0.002009 Loss_D_real: -0.008198 Loss_D_fake 0.019666
[405/5000][500/535][41574] Loss_D: -0.028031 Loss_G: -0.005014 Loss_D_real: -0.001920 Loss_D_fake 0.026110
[405/5000][505/535][41575] Loss_D: -0.027935 Loss_G: 0.010212 Loss_D_real: -0.011306 Loss_D_fake 0.016628
[405/5000][510/535][41576] Loss_D: -0.027989 Loss_G: 0.033066 Loss_D_real: -0.032370 Loss_D_fake -0.004382
[405/5000][515/535][41577] Loss_D: -0.029274 Loss_G: 0.010095 Loss_D_real: -0.005221 Loss_D_fake 0.024053
[405/5000][520/535][41578] Loss_D: -0.028752 Loss_G: 0.023221 Loss_D_real: -0.027876 Loss_D_fake 0.000877
[405/5000][525/535][41579] Loss_D: -0.028822 Loss_G: -0.010772 Loss_D_real: -0.008078 Loss_D_fake 0.020744
[405/5000][530/535][41580] Loss_D: -0.028651 Loss_G: -0.000327 Loss_D_real: -0.012492 Loss_D_fake 0.016159
[405/5000][535/535][41581] Loss_D: -0.027272 Loss_G: 0.011876 Loss_D_real: -0.025812 Loss_D_fake 0.001461
[406/5000][5/535][41582] Loss_D: -0.029813 Loss_G: 0.006961 Loss_D_real: -0.006688 Loss_D_fake 0.023125
[406/5000][10/535][41583] Loss_D: -0.028530 Loss_G: 0.027741 Loss_D_real: -0.018507 Loss_D_fake 0.010023
[406/5000][15/535][41584] Loss_D: -0.026961 Loss_G: 0.006989 Loss_D_real: -0.012523 Loss_D_fake 0.014438
[406/5000][20/535][41585] Loss_D: -0.027796 Loss_G: -0.012424 Loss_D_real: 0.007151 Loss_D_fake 0.034947
[406/5000][25/535][41586] Loss_D: -0.027478 Loss_G: 0.031326 Loss_D_real: -0.023744 Loss_D_fake 0.003734
[406/5000][30/535][41587] Loss_D: -0.029291 Loss_G: 0.000902 Loss_D_real: -0.011649 Loss_D_fake 0.017642
[406/5000][35/535][41588] Loss_D: -0.028121 Loss_G: 0.017204 Loss_D_real: -0.034445 Loss_D_fake -0.006324
[406/5000][40/535][41589] Loss_D: -0.029685 Loss_G: 0.014166 Loss_D_real: -0.017757 Loss_D_fake 0.011928
[406/5000][45/535][41590] Loss_D: -0.028022 Loss_G: 0.007670 Loss_D_real: -0.009350 Loss_D_fake 0.018671
[406/5000][50/535][41591] Loss_D: -0.029105 Loss_G: 0.017887 Loss_D_real: -0.024029 Loss_D_fake 0.005076
[406/5000][55/535][41592] Loss_D: -0.026921 Loss_G: -0.002951 Loss_D_real: -0.005063 Loss_D_fake 0.021858
[406/5000][60/535][41593] Loss_D: -0.029095 Loss_G: -0.007182 Loss_D_real: -0.009090 Loss_D_fake 0.020004
[406/5000][65/535][41594] Loss_D: -0.028019 Loss_G: 0.026184 Loss_D_real: -0.027205 Loss_D_fake 0.000814
[406/5000][70/535][41595] Loss_D: -0.028148 Loss_G: -0.001999 Loss_D_real: -0.005576 Loss_D_fake 0.022573
[406/5000][75/535][41596] Loss_D: -0.027372 Loss_G: 0.031828 Loss_D_real: -0.035433 Loss_D_fake -0.008061
[406/5000][80/535][41597] Loss_D: -0.029463 Loss_G: -0.003408 Loss_D_real: -0.012673 Loss_D_fake 0.016791
[406/5000][85/535][41598] Loss_D: -0.029909 Loss_G: 0.028089 Loss_D_real: -0.016772 Loss_D_fake 0.013137
[406/5000][90/535][41599] Loss_D: -0.027652 Loss_G: 0.022770 Loss_D_real: -0.024938 Loss_D_fake 0.002714
[406/5000][95/535][41600] Loss_D: -0.028156 Loss_G: -0.001851 Loss_D_real: -0.010405 Loss_D_fake 0.017751
[406/5000][100/535][41601] Loss_D: -0.027265 Loss_G: 0.041329 Loss_D_real: -0.033889 Loss_D_fake -0.006624
[406/5000][105/535][41602] Loss_D: -0.027806 Loss_G: 0.012502 Loss_D_real: -0.011491 Loss_D_fake 0.016315
[406/5000][110/535][41603] Loss_D: -0.028189 Loss_G: -0.000805 Loss_D_real: -0.003222 Loss_D_fake 0.024967
[406/5000][115/535][41604] Loss_D: -0.027436 Loss_G: 0.042480 Loss_D_real: -0.034455 Loss_D_fake -0.007019
[406/5000][120/535][41605] Loss_D: -0.028718 Loss_G: -0.003816 Loss_D_real: -0.010526 Loss_D_fake 0.018193
[406/5000][125/535][41606] Loss_D: -0.029342 Loss_G: 0.003435 Loss_D_real: -0.016339 Loss_D_fake 0.013003
[406/5000][130/535][41607] Loss_D: -0.028000 Loss_G: 0.020731 Loss_D_real: -0.029157 Loss_D_fake -0.001157
[406/5000][135/535][41608] Loss_D: -0.027549 Loss_G: 0.007553 Loss_D_real: -0.018019 Loss_D_fake 0.009529
[406/5000][140/535][41609] Loss_D: -0.028524 Loss_G: 0.005767 Loss_D_real: -0.005336 Loss_D_fake 0.023188
[406/5000][145/535][41610] Loss_D: -0.029206 Loss_G: 0.008899 Loss_D_real: -0.008635 Loss_D_fake 0.020571
[406/5000][150/535][41611] Loss_D: -0.029671 Loss_G: 0.015844 Loss_D_real: -0.024555 Loss_D_fake 0.005116
[406/5000][155/535][41612] Loss_D: -0.028957 Loss_G: 0.007499 Loss_D_real: -0.016360 Loss_D_fake 0.012597
[406/5000][160/535][41613] Loss_D: -0.029406 Loss_G: 0.015085 Loss_D_real: -0.025028 Loss_D_fake 0.004378
[406/5000][165/535][41614] Loss_D: -0.030052 Loss_G: 0.027203 Loss_D_real: -0.021519 Loss_D_fake 0.008533
[406/5000][170/535][41615] Loss_D: -0.029496 Loss_G: -0.002187 Loss_D_real: -0.013667 Loss_D_fake 0.015829
[406/5000][175/535][41616] Loss_D: -0.029565 Loss_G: 0.012281 Loss_D_real: -0.016720 Loss_D_fake 0.012845
[406/5000][180/535][41617] Loss_D: -0.029463 Loss_G: 0.034556 Loss_D_real: -0.034529 Loss_D_fake -0.005067
[406/5000][185/535][41618] Loss_D: -0.029283 Loss_G: 0.012096 Loss_D_real: -0.014261 Loss_D_fake 0.015021
[406/5000][190/535][41619] Loss_D: -0.028025 Loss_G: 0.023526 Loss_D_real: -0.024694 Loss_D_fake 0.003331
[406/5000][195/535][41620] Loss_D: -0.030144 Loss_G: 0.011310 Loss_D_real: -0.013627 Loss_D_fake 0.016517
[406/5000][200/535][41621] Loss_D: -0.030016 Loss_G: 0.021160 Loss_D_real: -0.026157 Loss_D_fake 0.003860
[406/5000][205/535][41622] Loss_D: -0.029621 Loss_G: 0.011344 Loss_D_real: -0.010711 Loss_D_fake 0.018910
[406/5000][210/535][41623] Loss_D: -0.027540 Loss_G: 0.026414 Loss_D_real: -0.040771 Loss_D_fake -0.013231
[406/5000][215/535][41624] Loss_D: -0.029966 Loss_G: 0.016935 Loss_D_real: -0.020148 Loss_D_fake 0.009818
[406/5000][220/535][41625] Loss_D: -0.028901 Loss_G: 0.029011 Loss_D_real: -0.022692 Loss_D_fake 0.006209
[406/5000][225/535][41626] Loss_D: -0.029086 Loss_G: 0.018734 Loss_D_real: -0.022955 Loss_D_fake 0.006131
[406/5000][230/535][41627] Loss_D: -0.029942 Loss_G: 0.011598 Loss_D_real: -0.016752 Loss_D_fake 0.013190
[406/5000][235/535][41628] Loss_D: -0.028343 Loss_G: 0.019782 Loss_D_real: -0.021393 Loss_D_fake 0.006950
[406/5000][240/535][41629] Loss_D: -0.027701 Loss_G: 0.040551 Loss_D_real: -0.034600 Loss_D_fake -0.006899
[406/5000][245/535][41630] Loss_D: -0.029246 Loss_G: 0.001522 Loss_D_real: -0.014592 Loss_D_fake 0.014654
[406/5000][250/535][41631] Loss_D: -0.029445 Loss_G: 0.014852 Loss_D_real: -0.016579 Loss_D_fake 0.012865
[406/5000][255/535][41632] Loss_D: -0.027479 Loss_G: 0.014890 Loss_D_real: -0.021701 Loss_D_fake 0.005777
[406/5000][260/535][41633] Loss_D: -0.028535 Loss_G: 0.019731 Loss_D_real: -0.024513 Loss_D_fake 0.004022
[406/5000][265/535][41634] Loss_D: -0.028999 Loss_G: 0.034192 Loss_D_real: -0.026205 Loss_D_fake 0.002794
[406/5000][270/535][41635] Loss_D: -0.028518 Loss_G: -0.007079 Loss_D_real: -0.003378 Loss_D_fake 0.025140
[406/5000][275/535][41636] Loss_D: -0.026864 Loss_G: 0.025469 Loss_D_real: -0.026112 Loss_D_fake 0.000751
[406/5000][280/535][41637] Loss_D: -0.028581 Loss_G: 0.027754 Loss_D_real: -0.028453 Loss_D_fake 0.000128
[406/5000][285/535][41638] Loss_D: -0.029704 Loss_G: 0.004812 Loss_D_real: -0.011184 Loss_D_fake 0.018520
[406/5000][290/535][41639] Loss_D: -0.030226 Loss_G: 0.008483 Loss_D_real: -0.006971 Loss_D_fake 0.023255
[406/5000][295/535][41640] Loss_D: -0.030138 Loss_G: 0.034171 Loss_D_real: -0.028060 Loss_D_fake 0.002077
[406/5000][300/535][41641] Loss_D: -0.028846 Loss_G: 0.010095 Loss_D_real: -0.008291 Loss_D_fake 0.020555
[406/5000][305/535][41642] Loss_D: -0.028646 Loss_G: 0.030813 Loss_D_real: -0.028153 Loss_D_fake 0.000493
[406/5000][310/535][41643] Loss_D: -0.029073 Loss_G: 0.008661 Loss_D_real: -0.015171 Loss_D_fake 0.013902
[406/5000][315/535][41644] Loss_D: -0.029183 Loss_G: 0.005005 Loss_D_real: -0.018873 Loss_D_fake 0.010310
[406/5000][320/535][41645] Loss_D: -0.028085 Loss_G: 0.020118 Loss_D_real: -0.013386 Loss_D_fake 0.014699
[406/5000][325/535][41646] Loss_D: -0.030905 Loss_G: 0.025110 Loss_D_real: -0.023643 Loss_D_fake 0.007262
[406/5000][330/535][41647] Loss_D: -0.028752 Loss_G: 0.003503 Loss_D_real: -0.004552 Loss_D_fake 0.024200
[406/5000][335/535][41648] Loss_D: -0.028538 Loss_G: 0.034406 Loss_D_real: -0.031442 Loss_D_fake -0.002904
[406/5000][340/535][41649] Loss_D: -0.027133 Loss_G: 0.003280 Loss_D_real: -0.006617 Loss_D_fake 0.020515
[406/5000][345/535][41650] Loss_D: -0.027103 Loss_G: 0.018225 Loss_D_real: -0.026959 Loss_D_fake 0.000144
[406/5000][350/535][41651] Loss_D: -0.027965 Loss_G: 0.030409 Loss_D_real: -0.035669 Loss_D_fake -0.007704
[406/5000][355/535][41652] Loss_D: -0.028336 Loss_G: -0.009190 Loss_D_real: -0.002960 Loss_D_fake 0.025376
[406/5000][360/535][41653] Loss_D: -0.027835 Loss_G: 0.002079 Loss_D_real: -0.015394 Loss_D_fake 0.012441
[406/5000][365/535][41654] Loss_D: -0.028856 Loss_G: 0.017223 Loss_D_real: -0.018081 Loss_D_fake 0.010775
[406/5000][370/535][41655] Loss_D: -0.027962 Loss_G: 0.008521 Loss_D_real: -0.013030 Loss_D_fake 0.014932
[406/5000][375/535][41656] Loss_D: -0.028505 Loss_G: 0.028987 Loss_D_real: -0.028559 Loss_D_fake -0.000054
[406/5000][380/535][41657] Loss_D: -0.029028 Loss_G: 0.020110 Loss_D_real: -0.025797 Loss_D_fake 0.003231
[406/5000][385/535][41658] Loss_D: -0.028824 Loss_G: 0.000489 Loss_D_real: -0.005223 Loss_D_fake 0.023602
[406/5000][390/535][41659] Loss_D: -0.030634 Loss_G: 0.006821 Loss_D_real: -0.013906 Loss_D_fake 0.016728
[406/5000][395/535][41660] Loss_D: -0.028771 Loss_G: 0.024936 Loss_D_real: -0.029335 Loss_D_fake -0.000564
[406/5000][400/535][41661] Loss_D: -0.028855 Loss_G: 0.005397 Loss_D_real: -0.017794 Loss_D_fake 0.011060
[406/5000][405/535][41662] Loss_D: -0.028790 Loss_G: 0.024897 Loss_D_real: -0.011629 Loss_D_fake 0.017161
[406/5000][410/535][41663] Loss_D: -0.028568 Loss_G: 0.035794 Loss_D_real: -0.030848 Loss_D_fake -0.002280
[406/5000][415/535][41664] Loss_D: -0.028313 Loss_G: -0.001106 Loss_D_real: -0.000452 Loss_D_fake 0.027862
[406/5000][420/535][41665] Loss_D: -0.027391 Loss_G: 0.027886 Loss_D_real: -0.030329 Loss_D_fake -0.002937
[406/5000][425/535][41666] Loss_D: -0.028790 Loss_G: 0.030082 Loss_D_real: -0.021612 Loss_D_fake 0.007179
[406/5000][430/535][41667] Loss_D: -0.029277 Loss_G: 0.006470 Loss_D_real: -0.008608 Loss_D_fake 0.020669
[406/5000][435/535][41668] Loss_D: -0.028760 Loss_G: 0.022613 Loss_D_real: -0.025767 Loss_D_fake 0.002993
[406/5000][440/535][41669] Loss_D: -0.028977 Loss_G: 0.004483 Loss_D_real: -0.016587 Loss_D_fake 0.012390
[406/5000][445/535][41670] Loss_D: -0.027356 Loss_G: 0.025000 Loss_D_real: -0.021916 Loss_D_fake 0.005440
[406/5000][450/535][41671] Loss_D: -0.028842 Loss_G: 0.031652 Loss_D_real: -0.024838 Loss_D_fake 0.004004
[406/5000][455/535][41672] Loss_D: -0.029498 Loss_G: 0.024529 Loss_D_real: -0.030978 Loss_D_fake -0.001480
[406/5000][460/535][41673] Loss_D: -0.030420 Loss_G: 0.012152 Loss_D_real: -0.023980 Loss_D_fake 0.006439
[406/5000][465/535][41674] Loss_D: -0.027743 Loss_G: 0.033967 Loss_D_real: -0.034492 Loss_D_fake -0.006749
[406/5000][470/535][41675] Loss_D: -0.028509 Loss_G: 0.006802 Loss_D_real: -0.010994 Loss_D_fake 0.017515
[406/5000][475/535][41676] Loss_D: -0.029369 Loss_G: 0.029180 Loss_D_real: -0.022190 Loss_D_fake 0.007178
[406/5000][480/535][41677] Loss_D: -0.029227 Loss_G: -0.007814 Loss_D_real: -0.005924 Loss_D_fake 0.023302
[406/5000][485/535][41678] Loss_D: -0.028341 Loss_G: 0.029026 Loss_D_real: -0.032813 Loss_D_fake -0.004472
[406/5000][490/535][41679] Loss_D: -0.029263 Loss_G: 0.019028 Loss_D_real: -0.020399 Loss_D_fake 0.008865
[406/5000][495/535][41680] Loss_D: -0.028750 Loss_G: 0.029401 Loss_D_real: -0.033874 Loss_D_fake -0.005125
[406/5000][500/535][41681] Loss_D: -0.028235 Loss_G: -0.005861 Loss_D_real: 0.003906 Loss_D_fake 0.032141
[406/5000][505/535][41682] Loss_D: -0.030227 Loss_G: 0.007556 Loss_D_real: -0.015055 Loss_D_fake 0.015172
[406/5000][510/535][41683] Loss_D: -0.028898 Loss_G: 0.023513 Loss_D_real: -0.026740 Loss_D_fake 0.002157
[406/5000][515/535][41684] Loss_D: -0.029367 Loss_G: 0.019921 Loss_D_real: -0.033047 Loss_D_fake -0.003680
[406/5000][520/535][41685] Loss_D: -0.029383 Loss_G: 0.012971 Loss_D_real: -0.016134 Loss_D_fake 0.013250
[406/5000][525/535][41686] Loss_D: -0.028725 Loss_G: 0.008723 Loss_D_real: -0.021970 Loss_D_fake 0.006755
[406/5000][530/535][41687] Loss_D: -0.030099 Loss_G: 0.023891 Loss_D_real: -0.024946 Loss_D_fake 0.005153
[406/5000][535/535][41688] Loss_D: -0.027838 Loss_G: -0.007241 Loss_D_real: 0.000355 Loss_D_fake 0.028193
[407/5000][5/535][41689] Loss_D: -0.027529 Loss_G: -0.005723 Loss_D_real: -0.000394 Loss_D_fake 0.027136
[407/5000][10/535][41690] Loss_D: -0.026139 Loss_G: 0.027997 Loss_D_real: -0.033909 Loss_D_fake -0.007769
[407/5000][15/535][41691] Loss_D: -0.029206 Loss_G: 0.029479 Loss_D_real: -0.023336 Loss_D_fake 0.005870
[407/5000][20/535][41692] Loss_D: -0.028120 Loss_G: -0.001310 Loss_D_real: 0.002160 Loss_D_fake 0.030280
[407/5000][25/535][41693] Loss_D: -0.030285 Loss_G: 0.017449 Loss_D_real: -0.022018 Loss_D_fake 0.008266
[407/5000][30/535][41694] Loss_D: -0.028106 Loss_G: 0.030581 Loss_D_real: -0.032681 Loss_D_fake -0.004574
[407/5000][35/535][41695] Loss_D: -0.029224 Loss_G: 0.010372 Loss_D_real: -0.011670 Loss_D_fake 0.017554
[407/5000][40/535][41696] Loss_D: -0.028678 Loss_G: 0.014693 Loss_D_real: -0.020408 Loss_D_fake 0.008269
[407/5000][45/535][41697] Loss_D: -0.028304 Loss_G: 0.014276 Loss_D_real: -0.015526 Loss_D_fake 0.012778
[407/5000][50/535][41698] Loss_D: -0.029355 Loss_G: 0.009489 Loss_D_real: -0.016623 Loss_D_fake 0.012732
[407/5000][55/535][41699] Loss_D: -0.026864 Loss_G: 0.034787 Loss_D_real: -0.027923 Loss_D_fake -0.001059
[407/5000][60/535][41700] Loss_D: -0.028761 Loss_G: 0.033184 Loss_D_real: -0.028316 Loss_D_fake 0.000445
[407/5000][65/535][41701] Loss_D: -0.029889 Loss_G: 0.014597 Loss_D_real: -0.011919 Loss_D_fake 0.017970
[407/5000][70/535][41702] Loss_D: -0.029146 Loss_G: 0.022531 Loss_D_real: -0.027661 Loss_D_fake 0.001485
[407/5000][75/535][41703] Loss_D: -0.029531 Loss_G: 0.016003 Loss_D_real: -0.021321 Loss_D_fake 0.008211
[407/5000][80/535][41704] Loss_D: -0.028883 Loss_G: 0.006584 Loss_D_real: -0.017410 Loss_D_fake 0.011473
[407/5000][85/535][41705] Loss_D: -0.027942 Loss_G: -0.001382 Loss_D_real: -0.002642 Loss_D_fake 0.025300
[407/5000][90/535][41706] Loss_D: -0.027525 Loss_G: 0.034178 Loss_D_real: -0.036023 Loss_D_fake -0.008498
[407/5000][95/535][41707] Loss_D: -0.028346 Loss_G: -0.001629 Loss_D_real: -0.010457 Loss_D_fake 0.017889
[407/5000][100/535][41708] Loss_D: -0.029635 Loss_G: 0.020978 Loss_D_real: -0.023309 Loss_D_fake 0.006325
[407/5000][105/535][41709] Loss_D: -0.028086 Loss_G: 0.010019 Loss_D_real: -0.014541 Loss_D_fake 0.013545
[407/5000][110/535][41710] Loss_D: -0.024788 Loss_G: 0.029845 Loss_D_real: -0.042402 Loss_D_fake -0.017614
[407/5000][115/535][41711] Loss_D: -0.030363 Loss_G: 0.027412 Loss_D_real: -0.019788 Loss_D_fake 0.010575
[407/5000][120/535][41712] Loss_D: -0.029527 Loss_G: 0.021635 Loss_D_real: -0.019741 Loss_D_fake 0.009786
[407/5000][125/535][41713] Loss_D: -0.029414 Loss_G: 0.007992 Loss_D_real: -0.012485 Loss_D_fake 0.016929
[407/5000][130/535][41714] Loss_D: -0.026660 Loss_G: -0.000651 Loss_D_real: -0.012766 Loss_D_fake 0.013894
[407/5000][135/535][41715] Loss_D: -0.029104 Loss_G: 0.002626 Loss_D_real: -0.014563 Loss_D_fake 0.014541
[407/5000][140/535][41716] Loss_D: -0.028922 Loss_G: 0.009773 Loss_D_real: -0.016496 Loss_D_fake 0.012425
[407/5000][145/535][41717] Loss_D: -0.029380 Loss_G: 0.019567 Loss_D_real: -0.027209 Loss_D_fake 0.002170
[407/5000][150/535][41718] Loss_D: -0.028939 Loss_G: 0.014352 Loss_D_real: -0.016630 Loss_D_fake 0.012309
[407/5000][155/535][41719] Loss_D: -0.028419 Loss_G: 0.003495 Loss_D_real: -0.020451 Loss_D_fake 0.007968
[407/5000][160/535][41720] Loss_D: -0.028395 Loss_G: 0.033617 Loss_D_real: -0.032239 Loss_D_fake -0.003844
[407/5000][165/535][41721] Loss_D: -0.028758 Loss_G: 0.014062 Loss_D_real: -0.010311 Loss_D_fake 0.018447
[407/5000][170/535][41722] Loss_D: -0.028249 Loss_G: 0.031958 Loss_D_real: -0.032883 Loss_D_fake -0.004635
[407/5000][175/535][41723] Loss_D: -0.028347 Loss_G: 0.016924 Loss_D_real: -0.021148 Loss_D_fake 0.007200
[407/5000][180/535][41724] Loss_D: -0.028451 Loss_G: 0.010118 Loss_D_real: -0.021421 Loss_D_fake 0.007030
[407/5000][185/535][41725] Loss_D: -0.028569 Loss_G: 0.037101 Loss_D_real: -0.026606 Loss_D_fake 0.001963
[407/5000][190/535][41726] Loss_D: -0.028945 Loss_G: 0.019821 Loss_D_real: -0.016863 Loss_D_fake 0.012082
[407/5000][195/535][41727] Loss_D: -0.029717 Loss_G: 0.032854 Loss_D_real: -0.034806 Loss_D_fake -0.005090
[407/5000][200/535][41728] Loss_D: -0.029742 Loss_G: 0.036703 Loss_D_real: -0.026735 Loss_D_fake 0.003008
[407/5000][205/535][41729] Loss_D: -0.029663 Loss_G: 0.004138 Loss_D_real: -0.013509 Loss_D_fake 0.016155
[407/5000][210/535][41730] Loss_D: -0.028745 Loss_G: 0.030923 Loss_D_real: -0.025948 Loss_D_fake 0.002797
[407/5000][215/535][41731] Loss_D: -0.029563 Loss_G: -0.001306 Loss_D_real: -0.012747 Loss_D_fake 0.016816
[407/5000][220/535][41732] Loss_D: -0.028240 Loss_G: 0.000522 Loss_D_real: -0.010504 Loss_D_fake 0.017736
[407/5000][225/535][41733] Loss_D: -0.027387 Loss_G: 0.024725 Loss_D_real: -0.014406 Loss_D_fake 0.012981
[407/5000][230/535][41734] Loss_D: -0.029677 Loss_G: 0.004369 Loss_D_real: -0.011772 Loss_D_fake 0.017905
[407/5000][235/535][41735] Loss_D: -0.028256 Loss_G: -0.006460 Loss_D_real: -0.010709 Loss_D_fake 0.017547
[407/5000][240/535][41736] Loss_D: -0.029514 Loss_G: 0.019111 Loss_D_real: -0.013768 Loss_D_fake 0.015746
[407/5000][245/535][41737] Loss_D: -0.028334 Loss_G: 0.038795 Loss_D_real: -0.037100 Loss_D_fake -0.008766
[407/5000][250/535][41738] Loss_D: -0.027694 Loss_G: -0.010215 Loss_D_real: -0.003698 Loss_D_fake 0.023996
[407/5000][255/535][41739] Loss_D: -0.027891 Loss_G: 0.004206 Loss_D_real: -0.015383 Loss_D_fake 0.012508
[407/5000][260/535][41740] Loss_D: -0.028222 Loss_G: 0.003700 Loss_D_real: -0.012371 Loss_D_fake 0.015851
[407/5000][265/535][41741] Loss_D: -0.029870 Loss_G: 0.021646 Loss_D_real: -0.012322 Loss_D_fake 0.017549
[407/5000][270/535][41742] Loss_D: -0.027614 Loss_G: 0.003226 Loss_D_real: -0.015476 Loss_D_fake 0.012138
[407/5000][275/535][41743] Loss_D: -0.029044 Loss_G: 0.025937 Loss_D_real: -0.034820 Loss_D_fake -0.005776
[407/5000][280/535][41744] Loss_D: -0.028081 Loss_G: -0.004303 Loss_D_real: -0.007576 Loss_D_fake 0.020505
[407/5000][285/535][41745] Loss_D: -0.029458 Loss_G: 0.003521 Loss_D_real: -0.007809 Loss_D_fake 0.021649
[407/5000][290/535][41746] Loss_D: -0.029605 Loss_G: 0.011120 Loss_D_real: -0.016441 Loss_D_fake 0.013164
[407/5000][295/535][41747] Loss_D: -0.027366 Loss_G: 0.018648 Loss_D_real: -0.026695 Loss_D_fake 0.000671
[407/5000][300/535][41748] Loss_D: -0.028261 Loss_G: -0.008507 Loss_D_real: -0.003104 Loss_D_fake 0.025157
[407/5000][305/535][41749] Loss_D: -0.029678 Loss_G: 0.011844 Loss_D_real: -0.010709 Loss_D_fake 0.018969
[407/5000][310/535][41750] Loss_D: -0.027954 Loss_G: 0.000099 Loss_D_real: -0.013387 Loss_D_fake 0.014567
[407/5000][315/535][41751] Loss_D: -0.027713 Loss_G: 0.027707 Loss_D_real: -0.023754 Loss_D_fake 0.003959
[407/5000][320/535][41752] Loss_D: -0.029548 Loss_G: -0.015429 Loss_D_real: 0.007320 Loss_D_fake 0.036868
[407/5000][325/535][41753] Loss_D: -0.028395 Loss_G: 0.006221 Loss_D_real: -0.011312 Loss_D_fake 0.017083
[407/5000][330/535][41754] Loss_D: -0.028637 Loss_G: 0.002995 Loss_D_real: -0.016015 Loss_D_fake 0.012622
[407/5000][335/535][41755] Loss_D: -0.027632 Loss_G: -0.004102 Loss_D_real: -0.008667 Loss_D_fake 0.018965
[407/5000][340/535][41756] Loss_D: -0.028178 Loss_G: 0.009948 Loss_D_real: -0.008590 Loss_D_fake 0.019588
[407/5000][345/535][41757] Loss_D: -0.028890 Loss_G: 0.012714 Loss_D_real: -0.008159 Loss_D_fake 0.020731
[407/5000][350/535][41758] Loss_D: -0.027085 Loss_G: 0.020406 Loss_D_real: -0.023175 Loss_D_fake 0.003909
[407/5000][355/535][41759] Loss_D: -0.030061 Loss_G: 0.024519 Loss_D_real: -0.022195 Loss_D_fake 0.007866
[407/5000][360/535][41760] Loss_D: -0.030519 Loss_G: 0.019925 Loss_D_real: -0.021472 Loss_D_fake 0.009048
[407/5000][365/535][41761] Loss_D: -0.027398 Loss_G: 0.040290 Loss_D_real: -0.024943 Loss_D_fake 0.002455
[407/5000][370/535][41762] Loss_D: -0.028934 Loss_G: -0.004861 Loss_D_real: -0.007002 Loss_D_fake 0.021932
[407/5000][375/535][41763] Loss_D: -0.028221 Loss_G: 0.042379 Loss_D_real: -0.034432 Loss_D_fake -0.006211
[407/5000][380/535][41764] Loss_D: -0.028607 Loss_G: 0.017558 Loss_D_real: -0.023861 Loss_D_fake 0.004747
[407/5000][385/535][41765] Loss_D: -0.029135 Loss_G: 0.032075 Loss_D_real: -0.036900 Loss_D_fake -0.007765
[407/5000][390/535][41766] Loss_D: -0.030435 Loss_G: -0.011750 Loss_D_real: 0.001333 Loss_D_fake 0.031768
[407/5000][395/535][41767] Loss_D: -0.026922 Loss_G: 0.000670 Loss_D_real: -0.011132 Loss_D_fake 0.015789
[407/5000][400/535][41768] Loss_D: -0.028238 Loss_G: 0.036036 Loss_D_real: -0.029335 Loss_D_fake -0.001097
[407/5000][405/535][41769] Loss_D: -0.029680 Loss_G: 0.021525 Loss_D_real: -0.024839 Loss_D_fake 0.004841
[407/5000][410/535][41770] Loss_D: -0.026479 Loss_G: -0.009779 Loss_D_real: 0.002911 Loss_D_fake 0.029390
[407/5000][415/535][41771] Loss_D: -0.028129 Loss_G: 0.005909 Loss_D_real: -0.004845 Loss_D_fake 0.023284
[407/5000][420/535][41772] Loss_D: -0.028001 Loss_G: 0.024996 Loss_D_real: -0.022721 Loss_D_fake 0.005280
[407/5000][425/535][41773] Loss_D: -0.028625 Loss_G: 0.030706 Loss_D_real: -0.026366 Loss_D_fake 0.002260
[407/5000][430/535][41774] Loss_D: -0.028727 Loss_G: 0.010552 Loss_D_real: -0.018658 Loss_D_fake 0.010069
[407/5000][435/535][41775] Loss_D: -0.026801 Loss_G: 0.039924 Loss_D_real: -0.033309 Loss_D_fake -0.006507
[407/5000][440/535][41776] Loss_D: -0.029946 Loss_G: 0.006619 Loss_D_real: -0.012897 Loss_D_fake 0.017050
[407/5000][445/535][41777] Loss_D: -0.029543 Loss_G: 0.011169 Loss_D_real: -0.014670 Loss_D_fake 0.014873
[407/5000][450/535][41778] Loss_D: -0.030323 Loss_G: 0.021701 Loss_D_real: -0.025292 Loss_D_fake 0.005031
[407/5000][455/535][41779] Loss_D: -0.029396 Loss_G: 0.010449 Loss_D_real: -0.015758 Loss_D_fake 0.013638
[407/5000][460/535][41780] Loss_D: -0.030373 Loss_G: -0.004590 Loss_D_real: -0.010212 Loss_D_fake 0.020161
[407/5000][465/535][41781] Loss_D: -0.028720 Loss_G: 0.005717 Loss_D_real: -0.014158 Loss_D_fake 0.014562
[407/5000][470/535][41782] Loss_D: -0.029182 Loss_G: 0.013362 Loss_D_real: -0.011357 Loss_D_fake 0.017825
[407/5000][475/535][41783] Loss_D: -0.029703 Loss_G: 0.012754 Loss_D_real: -0.017362 Loss_D_fake 0.012341
[407/5000][480/535][41784] Loss_D: -0.028695 Loss_G: 0.021145 Loss_D_real: -0.019401 Loss_D_fake 0.009294
[407/5000][485/535][41785] Loss_D: -0.029816 Loss_G: 0.033513 Loss_D_real: -0.037089 Loss_D_fake -0.007273
[407/5000][490/535][41786] Loss_D: -0.027883 Loss_G: 0.017126 Loss_D_real: -0.028043 Loss_D_fake -0.000160
[407/5000][495/535][41787] Loss_D: -0.029315 Loss_G: 0.021267 Loss_D_real: -0.027860 Loss_D_fake 0.001455
[407/5000][500/535][41788] Loss_D: -0.029382 Loss_G: 0.029334 Loss_D_real: -0.029415 Loss_D_fake -0.000033
[407/5000][505/535][41789] Loss_D: -0.028449 Loss_G: 0.028844 Loss_D_real: -0.025715 Loss_D_fake 0.002734
[407/5000][510/535][41790] Loss_D: -0.028816 Loss_G: -0.003461 Loss_D_real: -0.002922 Loss_D_fake 0.025895
[407/5000][515/535][41791] Loss_D: -0.029313 Loss_G: 0.012902 Loss_D_real: -0.014339 Loss_D_fake 0.014974
[407/5000][520/535][41792] Loss_D: -0.029701 Loss_G: 0.010914 Loss_D_real: -0.010237 Loss_D_fake 0.019464
[407/5000][525/535][41793] Loss_D: -0.027775 Loss_G: 0.015688 Loss_D_real: -0.030536 Loss_D_fake -0.002761
[407/5000][530/535][41794] Loss_D: -0.029786 Loss_G: -0.003304 Loss_D_real: -0.005817 Loss_D_fake 0.023969
[407/5000][535/535][41795] Loss_D: -0.028946 Loss_G: 0.027580 Loss_D_real: -0.022834 Loss_D_fake 0.006112
[408/5000][5/535][41796] Loss_D: -0.028194 Loss_G: 0.013469 Loss_D_real: -0.027597 Loss_D_fake 0.000597
[408/5000][10/535][41797] Loss_D: -0.028110 Loss_G: 0.000789 Loss_D_real: -0.007119 Loss_D_fake 0.020991
[408/5000][15/535][41798] Loss_D: -0.029652 Loss_G: 0.026315 Loss_D_real: -0.022410 Loss_D_fake 0.007242
[408/5000][20/535][41799] Loss_D: -0.027416 Loss_G: 0.021415 Loss_D_real: -0.033471 Loss_D_fake -0.006056
[408/5000][25/535][41800] Loss_D: -0.028698 Loss_G: 0.014543 Loss_D_real: -0.024777 Loss_D_fake 0.003920
[408/5000][30/535][41801] Loss_D: -0.028971 Loss_G: 0.003796 Loss_D_real: -0.002861 Loss_D_fake 0.026110
[408/5000][35/535][41802] Loss_D: -0.028917 Loss_G: 0.011582 Loss_D_real: -0.015026 Loss_D_fake 0.013891
[408/5000][40/535][41803] Loss_D: -0.029948 Loss_G: 0.010675 Loss_D_real: -0.009760 Loss_D_fake 0.020188
[408/5000][45/535][41804] Loss_D: -0.029243 Loss_G: 0.016626 Loss_D_real: -0.019557 Loss_D_fake 0.009686
[408/5000][50/535][41805] Loss_D: -0.028574 Loss_G: 0.028279 Loss_D_real: -0.021133 Loss_D_fake 0.007441
[408/5000][55/535][41806] Loss_D: -0.026577 Loss_G: -0.010660 Loss_D_real: 0.010234 Loss_D_fake 0.036811
[408/5000][60/535][41807] Loss_D: -0.028374 Loss_G: 0.012330 Loss_D_real: -0.020665 Loss_D_fake 0.007709
[408/5000][65/535][41808] Loss_D: -0.027955 Loss_G: 0.036043 Loss_D_real: -0.026093 Loss_D_fake 0.001862
[408/5000][70/535][41809] Loss_D: -0.028067 Loss_G: -0.016155 Loss_D_real: -0.003785 Loss_D_fake 0.024282
[408/5000][75/535][41810] Loss_D: -0.028388 Loss_G: 0.012419 Loss_D_real: -0.008050 Loss_D_fake 0.020338
[408/5000][80/535][41811] Loss_D: -0.028644 Loss_G: 0.022755 Loss_D_real: -0.027678 Loss_D_fake 0.000966
[408/5000][85/535][41812] Loss_D: -0.027355 Loss_G: 0.032700 Loss_D_real: -0.032907 Loss_D_fake -0.005552
[408/5000][90/535][41813] Loss_D: -0.028496 Loss_G: -0.006681 Loss_D_real: -0.010737 Loss_D_fake 0.017759
[408/5000][95/535][41814] Loss_D: -0.027638 Loss_G: 0.012869 Loss_D_real: -0.019339 Loss_D_fake 0.008299
[408/5000][100/535][41815] Loss_D: -0.028824 Loss_G: 0.021386 Loss_D_real: -0.012598 Loss_D_fake 0.016225
[408/5000][105/535][41816] Loss_D: -0.028599 Loss_G: -0.003034 Loss_D_real: -0.000324 Loss_D_fake 0.028276
[408/5000][110/535][41817] Loss_D: -0.027548 Loss_G: 0.025956 Loss_D_real: -0.025332 Loss_D_fake 0.002216
[408/5000][115/535][41818] Loss_D: -0.028094 Loss_G: 0.025728 Loss_D_real: -0.028026 Loss_D_fake 0.000068
[408/5000][120/535][41819] Loss_D: -0.029798 Loss_G: 0.016918 Loss_D_real: -0.010841 Loss_D_fake 0.018957
[408/5000][125/535][41820] Loss_D: -0.029146 Loss_G: 0.009251 Loss_D_real: -0.018701 Loss_D_fake 0.010445
[408/5000][130/535][41821] Loss_D: -0.029368 Loss_G: 0.027209 Loss_D_real: -0.023638 Loss_D_fake 0.005730
[408/5000][135/535][41822] Loss_D: -0.029189 Loss_G: 0.019064 Loss_D_real: -0.019557 Loss_D_fake 0.009632
[408/5000][140/535][41823] Loss_D: -0.026531 Loss_G: -0.007145 Loss_D_real: 0.005655 Loss_D_fake 0.032186
[408/5000][145/535][41824] Loss_D: -0.026218 Loss_G: 0.030182 Loss_D_real: -0.030694 Loss_D_fake -0.004476
[408/5000][150/535][41825] Loss_D: -0.029198 Loss_G: 0.010749 Loss_D_real: -0.018237 Loss_D_fake 0.010961
[408/5000][155/535][41826] Loss_D: -0.030578 Loss_G: 0.022715 Loss_D_real: -0.015338 Loss_D_fake 0.015240
[408/5000][160/535][41827] Loss_D: -0.029416 Loss_G: 0.007553 Loss_D_real: -0.020820 Loss_D_fake 0.008596
[408/5000][165/535][41828] Loss_D: -0.029708 Loss_G: 0.014175 Loss_D_real: -0.018752 Loss_D_fake 0.010956
[408/5000][170/535][41829] Loss_D: -0.028082 Loss_G: -0.001346 Loss_D_real: -0.002910 Loss_D_fake 0.025172
[408/5000][175/535][41830] Loss_D: -0.028132 Loss_G: 0.023531 Loss_D_real: -0.021550 Loss_D_fake 0.006582
[408/5000][180/535][41831] Loss_D: -0.029495 Loss_G: 0.015798 Loss_D_real: -0.017457 Loss_D_fake 0.012037
[408/5000][185/535][41832] Loss_D: -0.029744 Loss_G: 0.026413 Loss_D_real: -0.028534 Loss_D_fake 0.001210
[408/5000][190/535][41833] Loss_D: -0.030000 Loss_G: 0.019983 Loss_D_real: -0.024815 Loss_D_fake 0.005185
[408/5000][195/535][41834] Loss_D: -0.030244 Loss_G: 0.027383 Loss_D_real: -0.030135 Loss_D_fake 0.000109
[408/5000][200/535][41835] Loss_D: -0.028047 Loss_G: 0.009069 Loss_D_real: -0.004511 Loss_D_fake 0.023535
[408/5000][205/535][41836] Loss_D: -0.028143 Loss_G: 0.015552 Loss_D_real: -0.027242 Loss_D_fake 0.000901
[408/5000][210/535][41837] Loss_D: -0.028724 Loss_G: 0.002894 Loss_D_real: -0.002838 Loss_D_fake 0.025886
[408/5000][215/535][41838] Loss_D: -0.027911 Loss_G: 0.020265 Loss_D_real: -0.026788 Loss_D_fake 0.001123
[408/5000][220/535][41839] Loss_D: -0.026585 Loss_G: -0.014474 Loss_D_real: -0.000634 Loss_D_fake 0.025951
[408/5000][225/535][41840] Loss_D: -0.028443 Loss_G: 0.028472 Loss_D_real: -0.026896 Loss_D_fake 0.001548
[408/5000][230/535][41841] Loss_D: -0.029785 Loss_G: 0.014526 Loss_D_real: -0.017916 Loss_D_fake 0.011870
[408/5000][235/535][41842] Loss_D: -0.030153 Loss_G: 0.034071 Loss_D_real: -0.020958 Loss_D_fake 0.009195
[408/5000][240/535][41843] Loss_D: -0.028488 Loss_G: 0.005433 Loss_D_real: -0.016438 Loss_D_fake 0.012049
[408/5000][245/535][41844] Loss_D: -0.029893 Loss_G: 0.012070 Loss_D_real: -0.016344 Loss_D_fake 0.013549
[408/5000][250/535][41845] Loss_D: -0.030033 Loss_G: 0.010659 Loss_D_real: -0.013669 Loss_D_fake 0.016365
[408/5000][255/535][41846] Loss_D: -0.027315 Loss_G: 0.026263 Loss_D_real: -0.038166 Loss_D_fake -0.010852
[408/5000][260/535][41847] Loss_D: -0.028057 Loss_G: 0.001406 Loss_D_real: -0.004446 Loss_D_fake 0.023611
[408/5000][265/535][41848] Loss_D: -0.028608 Loss_G: 0.027520 Loss_D_real: -0.025025 Loss_D_fake 0.003583
[408/5000][270/535][41849] Loss_D: -0.028577 Loss_G: 0.024065 Loss_D_real: -0.023041 Loss_D_fake 0.005536
[408/5000][275/535][41850] Loss_D: -0.029441 Loss_G: 0.031466 Loss_D_real: -0.038575 Loss_D_fake -0.009133
[408/5000][280/535][41851] Loss_D: -0.029295 Loss_G: 0.007885 Loss_D_real: -0.019792 Loss_D_fake 0.009503
[408/5000][285/535][41852] Loss_D: -0.029676 Loss_G: 0.013432 Loss_D_real: -0.025999 Loss_D_fake 0.003677
[408/5000][290/535][41853] Loss_D: -0.029034 Loss_G: 0.005346 Loss_D_real: -0.010996 Loss_D_fake 0.018038
[408/5000][295/535][41854] Loss_D: -0.029517 Loss_G: 0.019318 Loss_D_real: -0.015251 Loss_D_fake 0.014266
[408/5000][300/535][41855] Loss_D: -0.029549 Loss_G: 0.020110 Loss_D_real: -0.015042 Loss_D_fake 0.014507
[408/5000][305/535][41856] Loss_D: -0.029226 Loss_G: 0.029827 Loss_D_real: -0.023087 Loss_D_fake 0.006139
[408/5000][310/535][41857] Loss_D: -0.027781 Loss_G: -0.007819 Loss_D_real: -0.014375 Loss_D_fake 0.013405
[408/5000][315/535][41858] Loss_D: -0.028663 Loss_G: 0.028690 Loss_D_real: -0.032302 Loss_D_fake -0.003640
[408/5000][320/535][41859] Loss_D: -0.028800 Loss_G: -0.000084 Loss_D_real: 0.000159 Loss_D_fake 0.028959
[408/5000][325/535][41860] Loss_D: -0.027588 Loss_G: 0.023618 Loss_D_real: -0.026037 Loss_D_fake 0.001551
[408/5000][330/535][41861] Loss_D: -0.028739 Loss_G: 0.022745 Loss_D_real: -0.026116 Loss_D_fake 0.002623
[408/5000][335/535][41862] Loss_D: -0.027540 Loss_G: 0.000313 Loss_D_real: -0.019608 Loss_D_fake 0.007932
[408/5000][340/535][41863] Loss_D: -0.028293 Loss_G: 0.011584 Loss_D_real: -0.015383 Loss_D_fake 0.012910
[408/5000][345/535][41864] Loss_D: -0.028354 Loss_G: 0.028852 Loss_D_real: -0.025375 Loss_D_fake 0.002979
[408/5000][350/535][41865] Loss_D: -0.030475 Loss_G: -0.004420 Loss_D_real: -0.007515 Loss_D_fake 0.022960
[408/5000][355/535][41866] Loss_D: -0.026316 Loss_G: -0.018930 Loss_D_real: 0.003186 Loss_D_fake 0.029502
[408/5000][360/535][41867] Loss_D: -0.027160 Loss_G: 0.033358 Loss_D_real: -0.031444 Loss_D_fake -0.004284
[408/5000][365/535][41868] Loss_D: -0.030257 Loss_G: 0.016904 Loss_D_real: -0.008914 Loss_D_fake 0.021343
[408/5000][370/535][41869] Loss_D: -0.027857 Loss_G: 0.016237 Loss_D_real: -0.019601 Loss_D_fake 0.008256
[408/5000][375/535][41870] Loss_D: -0.028044 Loss_G: 0.010339 Loss_D_real: -0.009065 Loss_D_fake 0.018979
[408/5000][380/535][41871] Loss_D: -0.029225 Loss_G: 0.013160 Loss_D_real: -0.017871 Loss_D_fake 0.011354
[408/5000][385/535][41872] Loss_D: -0.029601 Loss_G: 0.036418 Loss_D_real: -0.030159 Loss_D_fake -0.000558
[408/5000][390/535][41873] Loss_D: -0.028497 Loss_G: -0.012945 Loss_D_real: -0.007400 Loss_D_fake 0.021097
[408/5000][395/535][41874] Loss_D: -0.030867 Loss_G: 0.018710 Loss_D_real: -0.018913 Loss_D_fake 0.011954
[408/5000][400/535][41875] Loss_D: -0.029833 Loss_G: 0.005168 Loss_D_real: -0.008901 Loss_D_fake 0.020932
[408/5000][405/535][41876] Loss_D: -0.028698 Loss_G: -0.002808 Loss_D_real: -0.007682 Loss_D_fake 0.021016
[408/5000][410/535][41877] Loss_D: -0.029974 Loss_G: 0.016980 Loss_D_real: -0.025319 Loss_D_fake 0.004654
[408/5000][415/535][41878] Loss_D: -0.029818 Loss_G: 0.009384 Loss_D_real: -0.012561 Loss_D_fake 0.017257
[408/5000][420/535][41879] Loss_D: -0.028909 Loss_G: 0.023364 Loss_D_real: -0.032656 Loss_D_fake -0.003747
[408/5000][425/535][41880] Loss_D: -0.029443 Loss_G: 0.023041 Loss_D_real: -0.017185 Loss_D_fake 0.012258
[408/5000][430/535][41881] Loss_D: -0.029043 Loss_G: 0.024983 Loss_D_real: -0.021563 Loss_D_fake 0.007480
[408/5000][435/535][41882] Loss_D: -0.029141 Loss_G: 0.020571 Loss_D_real: -0.023453 Loss_D_fake 0.005689
[408/5000][440/535][41883] Loss_D: -0.028516 Loss_G: 0.015383 Loss_D_real: -0.016694 Loss_D_fake 0.011822
[408/5000][445/535][41884] Loss_D: -0.029269 Loss_G: 0.023361 Loss_D_real: -0.027611 Loss_D_fake 0.001658
[408/5000][450/535][41885] Loss_D: -0.029456 Loss_G: 0.008216 Loss_D_real: -0.008535 Loss_D_fake 0.020921
[408/5000][455/535][41886] Loss_D: -0.026672 Loss_G: 0.025430 Loss_D_real: -0.022011 Loss_D_fake 0.004661
[408/5000][460/535][41887] Loss_D: -0.028577 Loss_G: 0.017717 Loss_D_real: -0.022382 Loss_D_fake 0.006196
[408/5000][465/535][41888] Loss_D: -0.027776 Loss_G: 0.032278 Loss_D_real: -0.036333 Loss_D_fake -0.008557
[408/5000][470/535][41889] Loss_D: -0.028978 Loss_G: 0.024282 Loss_D_real: -0.028680 Loss_D_fake 0.000298
[408/5000][475/535][41890] Loss_D: -0.029990 Loss_G: 0.006961 Loss_D_real: -0.013929 Loss_D_fake 0.016061
[408/5000][480/535][41891] Loss_D: -0.027936 Loss_G: 0.034152 Loss_D_real: -0.038813 Loss_D_fake -0.010876
[408/5000][485/535][41892] Loss_D: -0.028350 Loss_G: 0.031582 Loss_D_real: -0.023620 Loss_D_fake 0.004730
[408/5000][490/535][41893] Loss_D: -0.029106 Loss_G: 0.024027 Loss_D_real: -0.025624 Loss_D_fake 0.003482
[408/5000][495/535][41894] Loss_D: -0.029317 Loss_G: -0.002539 Loss_D_real: -0.013771 Loss_D_fake 0.015546
[408/5000][500/535][41895] Loss_D: -0.028553 Loss_G: 0.002952 Loss_D_real: -0.013885 Loss_D_fake 0.014667
[408/5000][505/535][41896] Loss_D: -0.028222 Loss_G: 0.022089 Loss_D_real: -0.013239 Loss_D_fake 0.014983
[408/5000][510/535][41897] Loss_D: -0.028721 Loss_G: 0.015721 Loss_D_real: -0.021795 Loss_D_fake 0.006926
[408/5000][515/535][41898] Loss_D: -0.028826 Loss_G: 0.027431 Loss_D_real: -0.025916 Loss_D_fake 0.002910
[408/5000][520/535][41899] Loss_D: -0.029035 Loss_G: 0.001114 Loss_D_real: -0.006141 Loss_D_fake 0.022894
[408/5000][525/535][41900] Loss_D: -0.029574 Loss_G: 0.000827 Loss_D_real: -0.015864 Loss_D_fake 0.013710
[408/5000][530/535][41901] Loss_D: -0.028173 Loss_G: 0.003599 Loss_D_real: -0.014505 Loss_D_fake 0.013668
[408/5000][535/535][41902] Loss_D: -0.029364 Loss_G: 0.009915 Loss_D_real: -0.028326 Loss_D_fake 0.001038
[409/5000][5/535][41903] Loss_D: -0.029944 Loss_G: 0.018454 Loss_D_real: -0.018348 Loss_D_fake 0.011596
[409/5000][10/535][41904] Loss_D: -0.028747 Loss_G: 0.040127 Loss_D_real: -0.034949 Loss_D_fake -0.006202
[409/5000][15/535][41905] Loss_D: -0.028766 Loss_G: 0.009615 Loss_D_real: -0.004574 Loss_D_fake 0.024191
[409/5000][20/535][41906] Loss_D: -0.028988 Loss_G: 0.040586 Loss_D_real: -0.031784 Loss_D_fake -0.002797
[409/5000][25/535][41907] Loss_D: -0.028126 Loss_G: 0.016932 Loss_D_real: -0.014738 Loss_D_fake 0.013387
[409/5000][30/535][41908] Loss_D: -0.027735 Loss_G: -0.003005 Loss_D_real: 0.005177 Loss_D_fake 0.032912
[409/5000][35/535][41909] Loss_D: -0.028595 Loss_G: 0.012168 Loss_D_real: -0.022604 Loss_D_fake 0.005990
[409/5000][40/535][41910] Loss_D: -0.028394 Loss_G: 0.014683 Loss_D_real: -0.014943 Loss_D_fake 0.013451
[409/5000][45/535][41911] Loss_D: -0.028252 Loss_G: 0.009487 Loss_D_real: -0.011373 Loss_D_fake 0.016880
[409/5000][50/535][41912] Loss_D: -0.028354 Loss_G: 0.021925 Loss_D_real: -0.034500 Loss_D_fake -0.006147
[409/5000][55/535][41913] Loss_D: -0.027376 Loss_G: 0.025633 Loss_D_real: -0.028672 Loss_D_fake -0.001296
[409/5000][60/535][41914] Loss_D: -0.029503 Loss_G: 0.017868 Loss_D_real: -0.024878 Loss_D_fake 0.004625
[409/5000][65/535][41915] Loss_D: -0.028246 Loss_G: 0.011661 Loss_D_real: -0.008857 Loss_D_fake 0.019389
[409/5000][70/535][41916] Loss_D: -0.028661 Loss_G: 0.016862 Loss_D_real: -0.013336 Loss_D_fake 0.015325
[409/5000][75/535][41917] Loss_D: -0.028081 Loss_G: 0.002219 Loss_D_real: -0.012264 Loss_D_fake 0.015817
[409/5000][80/535][41918] Loss_D: -0.027575 Loss_G: 0.022663 Loss_D_real: -0.026526 Loss_D_fake 0.001049
[409/5000][85/535][41919] Loss_D: -0.026841 Loss_G: 0.037008 Loss_D_real: -0.032040 Loss_D_fake -0.005200
[409/5000][90/535][41920] Loss_D: -0.028533 Loss_G: 0.023242 Loss_D_real: -0.020029 Loss_D_fake 0.008504
[409/5000][95/535][41921] Loss_D: -0.027123 Loss_G: -0.002951 Loss_D_real: -0.001493 Loss_D_fake 0.025630
[409/5000][100/535][41922] Loss_D: -0.029119 Loss_G: 0.008796 Loss_D_real: -0.018790 Loss_D_fake 0.010329
[409/5000][105/535][41923] Loss_D: -0.028963 Loss_G: 0.031397 Loss_D_real: -0.038311 Loss_D_fake -0.009348
[409/5000][110/535][41924] Loss_D: -0.028822 Loss_G: 0.027592 Loss_D_real: -0.024708 Loss_D_fake 0.004114
[409/5000][115/535][41925] Loss_D: -0.027827 Loss_G: -0.000361 Loss_D_real: -0.001815 Loss_D_fake 0.026012
[409/5000][120/535][41926] Loss_D: -0.027331 Loss_G: 0.023568 Loss_D_real: -0.029872 Loss_D_fake -0.002540
[409/5000][125/535][41927] Loss_D: -0.028080 Loss_G: 0.008228 Loss_D_real: -0.011470 Loss_D_fake 0.016610
[409/5000][130/535][41928] Loss_D: -0.028577 Loss_G: 0.005570 Loss_D_real: -0.020296 Loss_D_fake 0.008281
[409/5000][135/535][41929] Loss_D: -0.029431 Loss_G: 0.025618 Loss_D_real: -0.036689 Loss_D_fake -0.007258
[409/5000][140/535][41930] Loss_D: -0.029192 Loss_G: 0.003119 Loss_D_real: -0.007115 Loss_D_fake 0.022077
[409/5000][145/535][41931] Loss_D: -0.029243 Loss_G: 0.019226 Loss_D_real: -0.031856 Loss_D_fake -0.002613
[409/5000][150/535][41932] Loss_D: -0.029640 Loss_G: 0.004785 Loss_D_real: -0.015721 Loss_D_fake 0.013919
[409/5000][155/535][41933] Loss_D: -0.028980 Loss_G: 0.019881 Loss_D_real: -0.017770 Loss_D_fake 0.011210
[409/5000][160/535][41934] Loss_D: -0.028444 Loss_G: -0.000192 Loss_D_real: -0.005613 Loss_D_fake 0.022830
[409/5000][165/535][41935] Loss_D: -0.027133 Loss_G: 0.026670 Loss_D_real: -0.030879 Loss_D_fake -0.003746
[409/5000][170/535][41936] Loss_D: -0.030011 Loss_G: 0.005476 Loss_D_real: -0.012716 Loss_D_fake 0.017294
[409/5000][175/535][41937] Loss_D: -0.027784 Loss_G: 0.025059 Loss_D_real: -0.026977 Loss_D_fake 0.000806
[409/5000][180/535][41938] Loss_D: -0.029073 Loss_G: 0.026416 Loss_D_real: -0.020880 Loss_D_fake 0.008193
[409/5000][185/535][41939] Loss_D: -0.028518 Loss_G: -0.000854 Loss_D_real: -0.009088 Loss_D_fake 0.019430
[409/5000][190/535][41940] Loss_D: -0.029023 Loss_G: 0.016433 Loss_D_real: -0.012825 Loss_D_fake 0.016198
[409/5000][195/535][41941] Loss_D: -0.029693 Loss_G: 0.019271 Loss_D_real: -0.019657 Loss_D_fake 0.010036
[409/5000][200/535][41942] Loss_D: -0.027683 Loss_G: 0.018608 Loss_D_real: -0.015788 Loss_D_fake 0.011895
[409/5000][205/535][41943] Loss_D: -0.028751 Loss_G: 0.026101 Loss_D_real: -0.022924 Loss_D_fake 0.005828
[409/5000][210/535][41944] Loss_D: -0.028109 Loss_G: 0.033953 Loss_D_real: -0.030336 Loss_D_fake -0.002228
[409/5000][215/535][41945] Loss_D: -0.029886 Loss_G: -0.000281 Loss_D_real: -0.003698 Loss_D_fake 0.026188
[409/5000][220/535][41946] Loss_D: -0.027246 Loss_G: 0.029486 Loss_D_real: -0.032231 Loss_D_fake -0.004984
[409/5000][225/535][41947] Loss_D: -0.029710 Loss_G: 0.016151 Loss_D_real: -0.026269 Loss_D_fake 0.003442
[409/5000][230/535][41948] Loss_D: -0.028964 Loss_G: 0.044516 Loss_D_real: -0.036960 Loss_D_fake -0.007996
[409/5000][235/535][41949] Loss_D: -0.028994 Loss_G: 0.006827 Loss_D_real: -0.017923 Loss_D_fake 0.011071
[409/5000][240/535][41950] Loss_D: -0.027732 Loss_G: 0.031066 Loss_D_real: -0.032139 Loss_D_fake -0.004407
[409/5000][245/535][41951] Loss_D: -0.028228 Loss_G: -0.002163 Loss_D_real: -0.009758 Loss_D_fake 0.018470
[409/5000][250/535][41952] Loss_D: -0.028806 Loss_G: 0.018561 Loss_D_real: -0.023792 Loss_D_fake 0.005013
[409/5000][255/535][41953] Loss_D: -0.027873 Loss_G: 0.018458 Loss_D_real: -0.015434 Loss_D_fake 0.012439
[409/5000][260/535][41954] Loss_D: -0.030155 Loss_G: 0.016949 Loss_D_real: -0.017227 Loss_D_fake 0.012928
[409/5000][265/535][41955] Loss_D: -0.029407 Loss_G: 0.005420 Loss_D_real: -0.012139 Loss_D_fake 0.017268
[409/5000][270/535][41956] Loss_D: -0.028697 Loss_G: 0.036718 Loss_D_real: -0.033903 Loss_D_fake -0.005205
[409/5000][275/535][41957] Loss_D: -0.029139 Loss_G: 0.006393 Loss_D_real: -0.013840 Loss_D_fake 0.015299
[409/5000][280/535][41958] Loss_D: -0.027953 Loss_G: 0.023513 Loss_D_real: -0.018143 Loss_D_fake 0.009810
[409/5000][285/535][41959] Loss_D: -0.029447 Loss_G: 0.015017 Loss_D_real: -0.027092 Loss_D_fake 0.002354
[409/5000][290/535][41960] Loss_D: -0.029943 Loss_G: 0.023575 Loss_D_real: -0.023886 Loss_D_fake 0.006057
[409/5000][295/535][41961] Loss_D: -0.029238 Loss_G: 0.020855 Loss_D_real: -0.025878 Loss_D_fake 0.003359
[409/5000][300/535][41962] Loss_D: -0.029113 Loss_G: -0.004347 Loss_D_real: -0.003303 Loss_D_fake 0.025810
[409/5000][305/535][41963] Loss_D: -0.028423 Loss_G: 0.042521 Loss_D_real: -0.032831 Loss_D_fake -0.004408
[409/5000][310/535][41964] Loss_D: -0.029094 Loss_G: 0.009674 Loss_D_real: -0.011545 Loss_D_fake 0.017549
[409/5000][315/535][41965] Loss_D: -0.028275 Loss_G: -0.003164 Loss_D_real: -0.013582 Loss_D_fake 0.014693
[409/5000][320/535][41966] Loss_D: -0.026580 Loss_G: 0.011255 Loss_D_real: -0.016061 Loss_D_fake 0.010519
[409/5000][325/535][41967] Loss_D: -0.026794 Loss_G: 0.016588 Loss_D_real: -0.023917 Loss_D_fake 0.002877
[409/5000][330/535][41968] Loss_D: -0.029041 Loss_G: 0.011463 Loss_D_real: -0.018765 Loss_D_fake 0.010277
[409/5000][335/535][41969] Loss_D: -0.029996 Loss_G: 0.005179 Loss_D_real: -0.009695 Loss_D_fake 0.020301
[409/5000][340/535][41970] Loss_D: -0.028157 Loss_G: 0.029062 Loss_D_real: -0.033282 Loss_D_fake -0.005124
[409/5000][345/535][41971] Loss_D: -0.029713 Loss_G: 0.023862 Loss_D_real: -0.022060 Loss_D_fake 0.007653
[409/5000][350/535][41972] Loss_D: -0.029397 Loss_G: 0.015942 Loss_D_real: -0.015399 Loss_D_fake 0.013998
[409/5000][355/535][41973] Loss_D: -0.028543 Loss_G: -0.010330 Loss_D_real: -0.006017 Loss_D_fake 0.022526
[409/5000][360/535][41974] Loss_D: -0.027325 Loss_G: 0.013173 Loss_D_real: -0.019849 Loss_D_fake 0.007476
[409/5000][365/535][41975] Loss_D: -0.028145 Loss_G: 0.021774 Loss_D_real: -0.022937 Loss_D_fake 0.005209
[409/5000][370/535][41976] Loss_D: -0.029353 Loss_G: 0.017708 Loss_D_real: -0.014644 Loss_D_fake 0.014709
[409/5000][375/535][41977] Loss_D: -0.029074 Loss_G: 0.013709 Loss_D_real: -0.022512 Loss_D_fake 0.006562
[409/5000][380/535][41978] Loss_D: -0.027645 Loss_G: -0.011614 Loss_D_real: -0.003636 Loss_D_fake 0.024009
[409/5000][385/535][41979] Loss_D: -0.027357 Loss_G: 0.036568 Loss_D_real: -0.039677 Loss_D_fake -0.012320
[409/5000][390/535][41980] Loss_D: -0.027717 Loss_G: 0.026178 Loss_D_real: -0.023495 Loss_D_fake 0.004222
[409/5000][395/535][41981] Loss_D: -0.029250 Loss_G: 0.015485 Loss_D_real: -0.027697 Loss_D_fake 0.001553
[409/5000][400/535][41982] Loss_D: -0.028919 Loss_G: 0.026558 Loss_D_real: -0.020002 Loss_D_fake 0.008918
[409/5000][405/535][41983] Loss_D: -0.029623 Loss_G: -0.001979 Loss_D_real: -0.015014 Loss_D_fake 0.014609
[409/5000][410/535][41984] Loss_D: -0.028989 Loss_G: 0.010470 Loss_D_real: -0.014570 Loss_D_fake 0.014420
[409/5000][415/535][41985] Loss_D: -0.028407 Loss_G: 0.040621 Loss_D_real: -0.029222 Loss_D_fake -0.000815
[409/5000][420/535][41986] Loss_D: -0.028495 Loss_G: 0.005897 Loss_D_real: -0.014279 Loss_D_fake 0.014216
[409/5000][425/535][41987] Loss_D: -0.027248 Loss_G: 0.036950 Loss_D_real: -0.035996 Loss_D_fake -0.008748
[409/5000][430/535][41988] Loss_D: -0.028543 Loss_G: 0.024677 Loss_D_real: -0.017366 Loss_D_fake 0.011177
[409/5000][435/535][41989] Loss_D: -0.029057 Loss_G: 0.009343 Loss_D_real: -0.010903 Loss_D_fake 0.018154
[409/5000][440/535][41990] Loss_D: -0.028270 Loss_G: 0.008671 Loss_D_real: -0.012605 Loss_D_fake 0.015666
[409/5000][445/535][41991] Loss_D: -0.029181 Loss_G: 0.018825 Loss_D_real: -0.024198 Loss_D_fake 0.004983
[409/5000][450/535][41992] Loss_D: -0.028875 Loss_G: -0.005122 Loss_D_real: -0.002853 Loss_D_fake 0.026022
[409/5000][455/535][41993] Loss_D: -0.027133 Loss_G: 0.019756 Loss_D_real: -0.017746 Loss_D_fake 0.009388
[409/5000][460/535][41994] Loss_D: -0.029572 Loss_G: 0.011256 Loss_D_real: -0.012321 Loss_D_fake 0.017251
[409/5000][465/535][41995] Loss_D: -0.028098 Loss_G: 0.002620 Loss_D_real: -0.022093 Loss_D_fake 0.006005
[409/5000][470/535][41996] Loss_D: -0.029755 Loss_G: 0.013523 Loss_D_real: -0.018697 Loss_D_fake 0.011057
[409/5000][475/535][41997] Loss_D: -0.028215 Loss_G: 0.013829 Loss_D_real: -0.028690 Loss_D_fake -0.000475
[409/5000][480/535][41998] Loss_D: -0.030249 Loss_G: 0.017912 Loss_D_real: -0.014898 Loss_D_fake 0.015352
[409/5000][485/535][41999] Loss_D: -0.028868 Loss_G: 0.002010 Loss_D_real: -0.007751 Loss_D_fake 0.021117
[409/5000][490/535][42000] Loss_D: -0.028671 Loss_G: 0.004555 Loss_D_real: -0.007926 Loss_D_fake 0.020744
[409/5000][535/535][42001] Loss_D: -0.028336 Loss_G: 0.019595 Loss_D_real: -0.012767 Loss_D_fake 0.015569
[410/5000][5/535][42002] Loss_D: -0.030585 Loss_G: 0.030690 Loss_D_real: -0.022603 Loss_D_fake 0.007982
[410/5000][10/535][42003] Loss_D: -0.028099 Loss_G: 0.002286 Loss_D_real: -0.010505 Loss_D_fake 0.017594
[410/5000][15/535][42004] Loss_D: -0.028906 Loss_G: 0.004964 Loss_D_real: -0.011471 Loss_D_fake 0.017434
[410/5000][20/535][42005] Loss_D: -0.029394 Loss_G: 0.021635 Loss_D_real: -0.024875 Loss_D_fake 0.004518
[410/5000][25/535][42006] Loss_D: -0.029198 Loss_G: 0.027545 Loss_D_real: -0.029851 Loss_D_fake -0.000653
[410/5000][30/535][42007] Loss_D: -0.029101 Loss_G: 0.018874 Loss_D_real: -0.022955 Loss_D_fake 0.006146
[410/5000][35/535][42008] Loss_D: -0.028657 Loss_G: 0.026776 Loss_D_real: -0.018915 Loss_D_fake 0.009742
[410/5000][40/535][42009] Loss_D: -0.027722 Loss_G: -0.006514 Loss_D_real: -0.012367 Loss_D_fake 0.015355
[410/5000][45/535][42010] Loss_D: -0.027254 Loss_G: -0.006851 Loss_D_real: -0.010582 Loss_D_fake 0.016672
[410/5000][50/535][42011] Loss_D: -0.027195 Loss_G: 0.035508 Loss_D_real: -0.036946 Loss_D_fake -0.009751
[410/5000][55/535][42012] Loss_D: -0.027679 Loss_G: -0.001855 Loss_D_real: -0.008891 Loss_D_fake 0.018787
[410/5000][60/535][42013] Loss_D: -0.026022 Loss_G: 0.031412 Loss_D_real: -0.035944 Loss_D_fake -0.009922
[410/5000][65/535][42014] Loss_D: -0.030221 Loss_G: 0.025523 Loss_D_real: -0.021525 Loss_D_fake 0.008696
[410/5000][70/535][42015] Loss_D: -0.029480 Loss_G: 0.012353 Loss_D_real: -0.016925 Loss_D_fake 0.012555
[410/5000][75/535][42016] Loss_D: -0.029391 Loss_G: 0.027179 Loss_D_real: -0.031482 Loss_D_fake -0.002092
[410/5000][80/535][42017] Loss_D: -0.028252 Loss_G: 0.007542 Loss_D_real: -0.013029 Loss_D_fake 0.015223
[410/5000][85/535][42018] Loss_D: -0.028367 Loss_G: 0.008903 Loss_D_real: -0.011803 Loss_D_fake 0.016564
[410/5000][90/535][42019] Loss_D: -0.028182 Loss_G: -0.001252 Loss_D_real: -0.010572 Loss_D_fake 0.017610
[410/5000][95/535][42020] Loss_D: -0.027702 Loss_G: 0.030546 Loss_D_real: -0.028503 Loss_D_fake -0.000801
[410/5000][100/535][42021] Loss_D: -0.027765 Loss_G: 0.020553 Loss_D_real: -0.017174 Loss_D_fake 0.010591
[410/5000][105/535][42022] Loss_D: -0.028239 Loss_G: 0.029248 Loss_D_real: -0.030777 Loss_D_fake -0.002537
[410/5000][110/535][42023] Loss_D: -0.028875 Loss_G: 0.023060 Loss_D_real: -0.033835 Loss_D_fake -0.004959
[410/5000][115/535][42024] Loss_D: -0.028358 Loss_G: 0.001581 Loss_D_real: -0.008025 Loss_D_fake 0.020333
[410/5000][120/535][42025] Loss_D: -0.030170 Loss_G: 0.022497 Loss_D_real: -0.019417 Loss_D_fake 0.010753
[410/5000][125/535][42026] Loss_D: -0.029029 Loss_G: -0.002172 Loss_D_real: -0.014699 Loss_D_fake 0.014331
[410/5000][130/535][42027] Loss_D: -0.027987 Loss_G: 0.025523 Loss_D_real: -0.038144 Loss_D_fake -0.010158
[410/5000][135/535][42028] Loss_D: -0.028279 Loss_G: 0.033092 Loss_D_real: -0.024645 Loss_D_fake 0.003634
[410/5000][140/535][42029] Loss_D: -0.029373 Loss_G: 0.011838 Loss_D_real: -0.015039 Loss_D_fake 0.014334
[410/5000][145/535][42030] Loss_D: -0.028341 Loss_G: 0.036447 Loss_D_real: -0.040063 Loss_D_fake -0.011723
[410/5000][150/535][42031] Loss_D: -0.028773 Loss_G: 0.015508 Loss_D_real: -0.021793 Loss_D_fake 0.006979
[410/5000][155/535][42032] Loss_D: -0.027274 Loss_G: 0.035419 Loss_D_real: -0.036077 Loss_D_fake -0.008803
[410/5000][160/535][42033] Loss_D: -0.029135 Loss_G: 0.000960 Loss_D_real: -0.014624 Loss_D_fake 0.014510
[410/5000][165/535][42034] Loss_D: -0.030143 Loss_G: 0.027166 Loss_D_real: -0.026539 Loss_D_fake 0.003604
[410/5000][170/535][42035] Loss_D: -0.029888 Loss_G: 0.018181 Loss_D_real: -0.014929 Loss_D_fake 0.014959
[410/5000][175/535][42036] Loss_D: -0.030114 Loss_G: 0.006165 Loss_D_real: -0.009372 Loss_D_fake 0.020742
[410/5000][180/535][42037] Loss_D: -0.027777 Loss_G: 0.049599 Loss_D_real: -0.036239 Loss_D_fake -0.008462
[410/5000][185/535][42038] Loss_D: -0.028483 Loss_G: 0.025782 Loss_D_real: -0.022435 Loss_D_fake 0.006048
[410/5000][190/535][42039] Loss_D: -0.027325 Loss_G: 0.012419 Loss_D_real: -0.009615 Loss_D_fake 0.017710
[410/5000][195/535][42040] Loss_D: -0.028325 Loss_G: 0.002212 Loss_D_real: -0.014324 Loss_D_fake 0.014001
[410/5000][200/535][42041] Loss_D: -0.028491 Loss_G: 0.006734 Loss_D_real: -0.010153 Loss_D_fake 0.018338
[410/5000][205/535][42042] Loss_D: -0.028097 Loss_G: 0.011836 Loss_D_real: -0.022378 Loss_D_fake 0.005719
[410/5000][210/535][42043] Loss_D: -0.029134 Loss_G: 0.028018 Loss_D_real: -0.025358 Loss_D_fake 0.003776
[410/5000][215/535][42044] Loss_D: -0.028428 Loss_G: 0.032817 Loss_D_real: -0.022147 Loss_D_fake 0.006281
[410/5000][220/535][42045] Loss_D: -0.028301 Loss_G: -0.005137 Loss_D_real: -0.006582 Loss_D_fake 0.021719
[410/5000][225/535][42046] Loss_D: -0.028760 Loss_G: 0.017865 Loss_D_real: -0.024315 Loss_D_fake 0.004446
[410/5000][230/535][42047] Loss_D: -0.027974 Loss_G: 0.018539 Loss_D_real: -0.017394 Loss_D_fake 0.010580
[410/5000][235/535][42048] Loss_D: -0.029020 Loss_G: 0.026345 Loss_D_real: -0.021547 Loss_D_fake 0.007473
[410/5000][240/535][42049] Loss_D: -0.028046 Loss_G: 0.032171 Loss_D_real: -0.036186 Loss_D_fake -0.008140
[410/5000][245/535][42050] Loss_D: -0.028599 Loss_G: 0.017203 Loss_D_real: -0.021239 Loss_D_fake 0.007360
[410/5000][250/535][42051] Loss_D: -0.027896 Loss_G: 0.028958 Loss_D_real: -0.028741 Loss_D_fake -0.000844
[410/5000][255/535][42052] Loss_D: -0.030463 Loss_G: 0.014952 Loss_D_real: -0.020323 Loss_D_fake 0.010140
[410/5000][260/535][42053] Loss_D: -0.028422 Loss_G: -0.007183 Loss_D_real: 0.000303 Loss_D_fake 0.028725
[410/5000][265/535][42054] Loss_D: -0.028750 Loss_G: 0.019628 Loss_D_real: -0.020962 Loss_D_fake 0.007788
[410/5000][270/535][42055] Loss_D: -0.027702 Loss_G: 0.018850 Loss_D_real: -0.019263 Loss_D_fake 0.008439
[410/5000][275/535][42056] Loss_D: -0.029984 Loss_G: 0.006346 Loss_D_real: -0.021340 Loss_D_fake 0.008644
[410/5000][280/535][42057] Loss_D: -0.027603 Loss_G: 0.030090 Loss_D_real: -0.033656 Loss_D_fake -0.006053
[410/5000][285/535][42058] Loss_D: -0.030370 Loss_G: 0.009631 Loss_D_real: -0.013204 Loss_D_fake 0.017166
[410/5000][290/535][42059] Loss_D: -0.029939 Loss_G: 0.026257 Loss_D_real: -0.015447 Loss_D_fake 0.014492
[410/5000][295/535][42060] Loss_D: -0.028156 Loss_G: 0.028669 Loss_D_real: -0.043833 Loss_D_fake -0.015678
[410/5000][300/535][42061] Loss_D: -0.028653 Loss_G: 0.021072 Loss_D_real: -0.015643 Loss_D_fake 0.013010
[410/5000][305/535][42062] Loss_D: -0.029925 Loss_G: 0.004684 Loss_D_real: -0.009319 Loss_D_fake 0.020606
[410/5000][310/535][42063] Loss_D: -0.028528 Loss_G: 0.032296 Loss_D_real: -0.031877 Loss_D_fake -0.003349
[410/5000][315/535][42064] Loss_D: -0.029115 Loss_G: 0.014754 Loss_D_real: -0.021943 Loss_D_fake 0.007173
[410/5000][320/535][42065] Loss_D: -0.027382 Loss_G: 0.004811 Loss_D_real: -0.011172 Loss_D_fake 0.016211
[410/5000][325/535][42066] Loss_D: -0.028965 Loss_G: 0.035623 Loss_D_real: -0.031907 Loss_D_fake -0.002942
[410/5000][330/535][42067] Loss_D: -0.028535 Loss_G: -0.001264 Loss_D_real: -0.005721 Loss_D_fake 0.022814
[410/5000][335/535][42068] Loss_D: -0.029290 Loss_G: 0.017736 Loss_D_real: -0.029468 Loss_D_fake -0.000179
[410/5000][340/535][42069] Loss_D: -0.028681 Loss_G: 0.003146 Loss_D_real: -0.000431 Loss_D_fake 0.028249
[410/5000][345/535][42070] Loss_D: -0.027708 Loss_G: 0.023111 Loss_D_real: -0.028316 Loss_D_fake -0.000608
[410/5000][350/535][42071] Loss_D: -0.030096 Loss_G: 0.005132 Loss_D_real: -0.019382 Loss_D_fake 0.010714
[410/5000][355/535][42072] Loss_D: -0.029288 Loss_G: 0.011889 Loss_D_real: -0.018213 Loss_D_fake 0.011075
[410/5000][360/535][42073] Loss_D: -0.027722 Loss_G: 0.028300 Loss_D_real: -0.026562 Loss_D_fake 0.001160
[410/5000][365/535][42074] Loss_D: -0.028823 Loss_G: 0.017352 Loss_D_real: -0.016732 Loss_D_fake 0.012091
[410/5000][370/535][42075] Loss_D: -0.029129 Loss_G: 0.008200 Loss_D_real: -0.010292 Loss_D_fake 0.018837
[410/5000][375/535][42076] Loss_D: -0.029147 Loss_G: 0.016184 Loss_D_real: -0.015860 Loss_D_fake 0.013287
[410/5000][380/535][42077] Loss_D: -0.029042 Loss_G: 0.011372 Loss_D_real: -0.017973 Loss_D_fake 0.011069
[410/5000][385/535][42078] Loss_D: -0.028657 Loss_G: 0.002003 Loss_D_real: -0.011897 Loss_D_fake 0.016760
[410/5000][390/535][42079] Loss_D: -0.026277 Loss_G: 0.034192 Loss_D_real: -0.031427 Loss_D_fake -0.005150
[410/5000][395/535][42080] Loss_D: -0.029520 Loss_G: -0.001029 Loss_D_real: -0.009338 Loss_D_fake 0.020182
[410/5000][400/535][42081] Loss_D: -0.028573 Loss_G: 0.004325 Loss_D_real: -0.016672 Loss_D_fake 0.011901
[410/5000][405/535][42082] Loss_D: -0.027204 Loss_G: 0.030555 Loss_D_real: -0.025972 Loss_D_fake 0.001232
[410/5000][410/535][42083] Loss_D: -0.027868 Loss_G: 0.011570 Loss_D_real: -0.013368 Loss_D_fake 0.014500
[410/5000][415/535][42084] Loss_D: -0.028756 Loss_G: 0.021291 Loss_D_real: -0.024199 Loss_D_fake 0.004556
[410/5000][420/535][42085] Loss_D: -0.029574 Loss_G: 0.038611 Loss_D_real: -0.026679 Loss_D_fake 0.002894
[410/5000][425/535][42086] Loss_D: -0.028443 Loss_G: 0.000367 Loss_D_real: -0.004548 Loss_D_fake 0.023895
[410/5000][430/535][42087] Loss_D: -0.028078 Loss_G: 0.024858 Loss_D_real: -0.033840 Loss_D_fake -0.005762
[410/5000][435/535][42088] Loss_D: -0.029070 Loss_G: 0.024665 Loss_D_real: -0.026442 Loss_D_fake 0.002629
[410/5000][440/535][42089] Loss_D: -0.029033 Loss_G: -0.006033 Loss_D_real: -0.015540 Loss_D_fake 0.013493
[410/5000][445/535][42090] Loss_D: -0.027105 Loss_G: 0.010886 Loss_D_real: -0.015633 Loss_D_fake 0.011472
[410/5000][450/535][42091] Loss_D: -0.028395 Loss_G: 0.003670 Loss_D_real: -0.007477 Loss_D_fake 0.020918
[410/5000][455/535][42092] Loss_D: -0.029611 Loss_G: 0.024544 Loss_D_real: -0.024842 Loss_D_fake 0.004770
[410/5000][460/535][42093] Loss_D: -0.028527 Loss_G: 0.008182 Loss_D_real: -0.017627 Loss_D_fake 0.010901
[410/5000][465/535][42094] Loss_D: -0.028164 Loss_G: 0.026250 Loss_D_real: -0.018500 Loss_D_fake 0.009664
[410/5000][470/535][42095] Loss_D: -0.026799 Loss_G: 0.019580 Loss_D_real: -0.014780 Loss_D_fake 0.012019
[410/5000][475/535][42096] Loss_D: -0.029093 Loss_G: 0.020454 Loss_D_real: -0.024716 Loss_D_fake 0.004377
[410/5000][480/535][42097] Loss_D: -0.029635 Loss_G: 0.022008 Loss_D_real: -0.021855 Loss_D_fake 0.007780
[410/5000][485/535][42098] Loss_D: -0.028527 Loss_G: -0.008181 Loss_D_real: -0.008634 Loss_D_fake 0.019893
[410/5000][490/535][42099] Loss_D: -0.027053 Loss_G: 0.024672 Loss_D_real: -0.025983 Loss_D_fake 0.001070
[410/5000][495/535][42100] Loss_D: -0.028668 Loss_G: -0.001515 Loss_D_real: -0.009580 Loss_D_fake 0.019088
[410/5000][500/535][42101] Loss_D: -0.027795 Loss_G: 0.002837 Loss_D_real: -0.011866 Loss_D_fake 0.015929
[410/5000][505/535][42102] Loss_D: -0.027230 Loss_G: 0.041720 Loss_D_real: -0.036382 Loss_D_fake -0.009152
[410/5000][510/535][42103] Loss_D: -0.029344 Loss_G: 0.026159 Loss_D_real: -0.028616 Loss_D_fake 0.000728
[410/5000][515/535][42104] Loss_D: -0.028996 Loss_G: 0.009820 Loss_D_real: -0.016178 Loss_D_fake 0.012819
[410/5000][520/535][42105] Loss_D: -0.028212 Loss_G: 0.025649 Loss_D_real: -0.028457 Loss_D_fake -0.000245
[410/5000][525/535][42106] Loss_D: -0.030393 Loss_G: 0.016217 Loss_D_real: -0.023411 Loss_D_fake 0.006982
[410/5000][530/535][42107] Loss_D: -0.029658 Loss_G: 0.012182 Loss_D_real: -0.015870 Loss_D_fake 0.013788
[410/5000][535/535][42108] Loss_D: -0.026213 Loss_G: 0.031876 Loss_D_real: -0.033714 Loss_D_fake -0.007501
[411/5000][5/535][42109] Loss_D: -0.030203 Loss_G: 0.028321 Loss_D_real: -0.023315 Loss_D_fake 0.006889
[411/5000][10/535][42110] Loss_D: -0.031148 Loss_G: 0.003732 Loss_D_real: -0.020023 Loss_D_fake 0.011125
[411/5000][15/535][42111] Loss_D: -0.027305 Loss_G: 0.034999 Loss_D_real: -0.033903 Loss_D_fake -0.006597
[411/5000][20/535][42112] Loss_D: -0.029430 Loss_G: 0.018527 Loss_D_real: -0.019425 Loss_D_fake 0.010006
[411/5000][25/535][42113] Loss_D: -0.028005 Loss_G: 0.026244 Loss_D_real: -0.020832 Loss_D_fake 0.007173
[411/5000][30/535][42114] Loss_D: -0.026222 Loss_G: 0.035957 Loss_D_real: -0.032354 Loss_D_fake -0.006132
[411/5000][35/535][42115] Loss_D: -0.028425 Loss_G: 0.001536 Loss_D_real: -0.016375 Loss_D_fake 0.012050
[411/5000][40/535][42116] Loss_D: -0.028298 Loss_G: 0.016909 Loss_D_real: -0.015873 Loss_D_fake 0.012424
[411/5000][45/535][42117] Loss_D: -0.028636 Loss_G: 0.016840 Loss_D_real: -0.022170 Loss_D_fake 0.006465
[411/5000][50/535][42118] Loss_D: -0.029259 Loss_G: 0.007589 Loss_D_real: -0.017150 Loss_D_fake 0.012109
[411/5000][55/535][42119] Loss_D: -0.029250 Loss_G: 0.004320 Loss_D_real: -0.004631 Loss_D_fake 0.024619
[411/5000][60/535][42120] Loss_D: -0.027770 Loss_G: 0.031898 Loss_D_real: -0.036911 Loss_D_fake -0.009141
[411/5000][65/535][42121] Loss_D: -0.029489 Loss_G: 0.002557 Loss_D_real: -0.012265 Loss_D_fake 0.017224
[411/5000][70/535][42122] Loss_D: -0.027717 Loss_G: 0.028304 Loss_D_real: -0.032401 Loss_D_fake -0.004684
[411/5000][75/535][42123] Loss_D: -0.028537 Loss_G: 0.008533 Loss_D_real: -0.025475 Loss_D_fake 0.003061
[411/5000][80/535][42124] Loss_D: -0.028641 Loss_G: 0.016448 Loss_D_real: -0.026849 Loss_D_fake 0.001791
[411/5000][85/535][42125] Loss_D: -0.029075 Loss_G: 0.018789 Loss_D_real: -0.009385 Loss_D_fake 0.019690
[411/5000][90/535][42126] Loss_D: -0.028187 Loss_G: -0.006728 Loss_D_real: -0.009045 Loss_D_fake 0.019142
[411/5000][95/535][42127] Loss_D: -0.026912 Loss_G: 0.006399 Loss_D_real: -0.018677 Loss_D_fake 0.008234
[411/5000][100/535][42128] Loss_D: -0.026926 Loss_G: 0.026652 Loss_D_real: -0.024979 Loss_D_fake 0.001947
[411/5000][105/535][42129] Loss_D: -0.028723 Loss_G: 0.000799 Loss_D_real: -0.003424 Loss_D_fake 0.025299
[411/5000][110/535][42130] Loss_D: -0.029236 Loss_G: 0.014869 Loss_D_real: -0.020138 Loss_D_fake 0.009098
[411/5000][115/535][42131] Loss_D: -0.027938 Loss_G: 0.018567 Loss_D_real: -0.026130 Loss_D_fake 0.001808
[411/5000][120/535][42132] Loss_D: -0.029034 Loss_G: -0.009080 Loss_D_real: -0.006803 Loss_D_fake 0.022231
[411/5000][125/535][42133] Loss_D: -0.029253 Loss_G: 0.002942 Loss_D_real: -0.008201 Loss_D_fake 0.021053
[411/5000][130/535][42134] Loss_D: -0.030502 Loss_G: 0.018860 Loss_D_real: -0.017393 Loss_D_fake 0.013109
[411/5000][135/535][42135] Loss_D: -0.028925 Loss_G: 0.004927 Loss_D_real: -0.005013 Loss_D_fake 0.023912
[411/5000][140/535][42136] Loss_D: -0.028916 Loss_G: 0.034752 Loss_D_real: -0.023192 Loss_D_fake 0.005724
[411/5000][145/535][42137] Loss_D: -0.028177 Loss_G: 0.019739 Loss_D_real: -0.015548 Loss_D_fake 0.012629
[411/5000][150/535][42138] Loss_D: -0.029409 Loss_G: 0.002841 Loss_D_real: -0.014129 Loss_D_fake 0.015280
[411/5000][155/535][42139] Loss_D: -0.030015 Loss_G: 0.027165 Loss_D_real: -0.029609 Loss_D_fake 0.000406
[411/5000][160/535][42140] Loss_D: -0.029623 Loss_G: 0.024128 Loss_D_real: -0.032523 Loss_D_fake -0.002900
[411/5000][165/535][42141] Loss_D: -0.029259 Loss_G: -0.005368 Loss_D_real: -0.007148 Loss_D_fake 0.022111
[411/5000][170/535][42142] Loss_D: -0.028197 Loss_G: 0.024742 Loss_D_real: -0.026657 Loss_D_fake 0.001540
[411/5000][175/535][42143] Loss_D: -0.029126 Loss_G: -0.001338 Loss_D_real: -0.011062 Loss_D_fake 0.018063
[411/5000][180/535][42144] Loss_D: -0.029025 Loss_G: 0.028784 Loss_D_real: -0.022817 Loss_D_fake 0.006208
[411/5000][185/535][42145] Loss_D: -0.029651 Loss_G: -0.000553 Loss_D_real: -0.005022 Loss_D_fake 0.024629
[411/5000][190/535][42146] Loss_D: -0.028665 Loss_G: 0.043793 Loss_D_real: -0.031993 Loss_D_fake -0.003329
[411/5000][195/535][42147] Loss_D: -0.028872 Loss_G: 0.006171 Loss_D_real: -0.016855 Loss_D_fake 0.012017
[411/5000][200/535][42148] Loss_D: -0.029077 Loss_G: 0.021000 Loss_D_real: -0.013272 Loss_D_fake 0.015805
[411/5000][205/535][42149] Loss_D: -0.028530 Loss_G: -0.012796 Loss_D_real: -0.004764 Loss_D_fake 0.023766
[411/5000][210/535][42150] Loss_D: -0.028374 Loss_G: 0.002208 Loss_D_real: -0.016033 Loss_D_fake 0.012341
[411/5000][215/535][42151] Loss_D: -0.028167 Loss_G: 0.040775 Loss_D_real: -0.032512 Loss_D_fake -0.004346
[411/5000][220/535][42152] Loss_D: -0.027806 Loss_G: -0.001091 Loss_D_real: -0.002028 Loss_D_fake 0.025778
[411/5000][225/535][42153] Loss_D: -0.027370 Loss_G: -0.005935 Loss_D_real: -0.002848 Loss_D_fake 0.024521
[411/5000][230/535][42154] Loss_D: -0.027854 Loss_G: 0.022988 Loss_D_real: -0.030519 Loss_D_fake -0.002665
[411/5000][235/535][42155] Loss_D: -0.029227 Loss_G: -0.003409 Loss_D_real: -0.005415 Loss_D_fake 0.023812
[411/5000][240/535][42156] Loss_D: -0.028141 Loss_G: 0.024462 Loss_D_real: -0.033069 Loss_D_fake -0.004928
[411/5000][245/535][42157] Loss_D: -0.028931 Loss_G: 0.021535 Loss_D_real: -0.009841 Loss_D_fake 0.019091
[411/5000][250/535][42158] Loss_D: -0.029529 Loss_G: 0.011442 Loss_D_real: -0.008680 Loss_D_fake 0.020850
[411/5000][255/535][42159] Loss_D: -0.029456 Loss_G: 0.017834 Loss_D_real: -0.016419 Loss_D_fake 0.013037
[411/5000][260/535][42160] Loss_D: -0.029517 Loss_G: 0.019193 Loss_D_real: -0.011125 Loss_D_fake 0.018392
[411/5000][265/535][42161] Loss_D: -0.029228 Loss_G: 0.011026 Loss_D_real: -0.015177 Loss_D_fake 0.014051
[411/5000][270/535][42162] Loss_D: -0.028326 Loss_G: -0.008145 Loss_D_real: -0.007563 Loss_D_fake 0.020763
[411/5000][275/535][42163] Loss_D: -0.026467 Loss_G: 0.022219 Loss_D_real: -0.029675 Loss_D_fake -0.003208
[411/5000][280/535][42164] Loss_D: -0.029167 Loss_G: 0.010995 Loss_D_real: -0.007435 Loss_D_fake 0.021732
[411/5000][285/535][42165] Loss_D: -0.028778 Loss_G: 0.004305 Loss_D_real: -0.014371 Loss_D_fake 0.014407
[411/5000][290/535][42166] Loss_D: -0.027158 Loss_G: 0.039269 Loss_D_real: -0.031686 Loss_D_fake -0.004528
[411/5000][295/535][42167] Loss_D: -0.029580 Loss_G: 0.016050 Loss_D_real: -0.021656 Loss_D_fake 0.007924
[411/5000][300/535][42168] Loss_D: -0.029150 Loss_G: 0.009276 Loss_D_real: -0.017113 Loss_D_fake 0.012037
[411/5000][305/535][42169] Loss_D: -0.029616 Loss_G: 0.019458 Loss_D_real: -0.014599 Loss_D_fake 0.015017
[411/5000][310/535][42170] Loss_D: -0.027653 Loss_G: 0.022537 Loss_D_real: -0.023682 Loss_D_fake 0.003971
[411/5000][315/535][42171] Loss_D: -0.028980 Loss_G: 0.005842 Loss_D_real: -0.008932 Loss_D_fake 0.020049
[411/5000][320/535][42172] Loss_D: -0.027842 Loss_G: 0.019282 Loss_D_real: -0.023505 Loss_D_fake 0.004337
[411/5000][325/535][42173] Loss_D: -0.028303 Loss_G: 0.014481 Loss_D_real: -0.015574 Loss_D_fake 0.012729
[411/5000][330/535][42174] Loss_D: -0.029789 Loss_G: 0.024417 Loss_D_real: -0.018056 Loss_D_fake 0.011733
[411/5000][335/535][42175] Loss_D: -0.027932 Loss_G: 0.024617 Loss_D_real: -0.036456 Loss_D_fake -0.008523
[411/5000][340/535][42176] Loss_D: -0.029478 Loss_G: 0.008390 Loss_D_real: -0.014346 Loss_D_fake 0.015132
[411/5000][345/535][42177] Loss_D: -0.026438 Loss_G: -0.016862 Loss_D_real: 0.002567 Loss_D_fake 0.029005
[411/5000][350/535][42178] Loss_D: -0.028058 Loss_G: 0.026146 Loss_D_real: -0.021097 Loss_D_fake 0.006961
[411/5000][355/535][42179] Loss_D: -0.027177 Loss_G: 0.021770 Loss_D_real: -0.020933 Loss_D_fake 0.006243
[411/5000][360/535][42180] Loss_D: -0.029589 Loss_G: 0.032992 Loss_D_real: -0.027362 Loss_D_fake 0.002226
[411/5000][365/535][42181] Loss_D: -0.025742 Loss_G: -0.010716 Loss_D_real: 0.007391 Loss_D_fake 0.033133
[411/5000][370/535][42182] Loss_D: -0.028184 Loss_G: 0.002815 Loss_D_real: -0.012181 Loss_D_fake 0.016003
[411/5000][375/535][42183] Loss_D: -0.028797 Loss_G: 0.019459 Loss_D_real: -0.015701 Loss_D_fake 0.013096
[411/5000][380/535][42184] Loss_D: -0.028697 Loss_G: 0.004510 Loss_D_real: -0.007851 Loss_D_fake 0.020846
[411/5000][385/535][42185] Loss_D: -0.029938 Loss_G: 0.014068 Loss_D_real: -0.025145 Loss_D_fake 0.004793
[411/5000][390/535][42186] Loss_D: -0.029020 Loss_G: 0.014142 Loss_D_real: -0.018124 Loss_D_fake 0.010896
[411/5000][395/535][42187] Loss_D: -0.029783 Loss_G: -0.011191 Loss_D_real: -0.004301 Loss_D_fake 0.025482
[411/5000][400/535][42188] Loss_D: -0.028301 Loss_G: 0.010004 Loss_D_real: -0.021892 Loss_D_fake 0.006409
[411/5000][405/535][42189] Loss_D: -0.028689 Loss_G: 0.001344 Loss_D_real: -0.010224 Loss_D_fake 0.018465
[411/5000][410/535][42190] Loss_D: -0.028060 Loss_G: 0.031947 Loss_D_real: -0.029736 Loss_D_fake -0.001677
[411/5000][415/535][42191] Loss_D: -0.029813 Loss_G: 0.010241 Loss_D_real: -0.023728 Loss_D_fake 0.006085
[411/5000][420/535][42192] Loss_D: -0.031212 Loss_G: 0.020434 Loss_D_real: -0.030601 Loss_D_fake 0.000611
[411/5000][425/535][42193] Loss_D: -0.029100 Loss_G: 0.009358 Loss_D_real: -0.018891 Loss_D_fake 0.010208
[411/5000][430/535][42194] Loss_D: -0.027741 Loss_G: 0.029514 Loss_D_real: -0.032791 Loss_D_fake -0.005049
[411/5000][435/535][42195] Loss_D: -0.028935 Loss_G: 0.018557 Loss_D_real: -0.017797 Loss_D_fake 0.011138
[411/5000][440/535][42196] Loss_D: -0.029285 Loss_G: 0.023025 Loss_D_real: -0.028870 Loss_D_fake 0.000415
[411/5000][445/535][42197] Loss_D: -0.029633 Loss_G: 0.015834 Loss_D_real: -0.019514 Loss_D_fake 0.010119
[411/5000][450/535][42198] Loss_D: -0.028190 Loss_G: 0.011627 Loss_D_real: -0.020988 Loss_D_fake 0.007202
[411/5000][455/535][42199] Loss_D: -0.028728 Loss_G: 0.031923 Loss_D_real: -0.026669 Loss_D_fake 0.002060
[411/5000][460/535][42200] Loss_D: -0.027879 Loss_G: 0.001784 Loss_D_real: -0.013775 Loss_D_fake 0.014104
[411/5000][465/535][42201] Loss_D: -0.029090 Loss_G: 0.020432 Loss_D_real: -0.022941 Loss_D_fake 0.006149
[411/5000][470/535][42202] Loss_D: -0.026195 Loss_G: 0.047932 Loss_D_real: -0.043499 Loss_D_fake -0.017304
[411/5000][475/535][42203] Loss_D: -0.028651 Loss_G: 0.009514 Loss_D_real: -0.017505 Loss_D_fake 0.011146
[411/5000][480/535][42204] Loss_D: -0.028931 Loss_G: 0.027276 Loss_D_real: -0.027527 Loss_D_fake 0.001403
[411/5000][485/535][42205] Loss_D: -0.029273 Loss_G: -0.002008 Loss_D_real: -0.007151 Loss_D_fake 0.022122
[411/5000][490/535][42206] Loss_D: -0.027541 Loss_G: 0.023598 Loss_D_real: -0.036210 Loss_D_fake -0.008669
[411/5000][495/535][42207] Loss_D: -0.028821 Loss_G: 0.022820 Loss_D_real: -0.027287 Loss_D_fake 0.001533
[411/5000][500/535][42208] Loss_D: -0.029223 Loss_G: 0.018955 Loss_D_real: -0.029573 Loss_D_fake -0.000350
[411/5000][505/535][42209] Loss_D: -0.029939 Loss_G: -0.002055 Loss_D_real: -0.004123 Loss_D_fake 0.025817
[411/5000][510/535][42210] Loss_D: -0.028477 Loss_G: -0.007557 Loss_D_real: 0.001923 Loss_D_fake 0.030400
[411/5000][515/535][42211] Loss_D: -0.028091 Loss_G: 0.003621 Loss_D_real: -0.021848 Loss_D_fake 0.006243
[411/5000][520/535][42212] Loss_D: -0.028401 Loss_G: 0.014665 Loss_D_real: -0.026282 Loss_D_fake 0.002119
[411/5000][525/535][42213] Loss_D: -0.028625 Loss_G: 0.011249 Loss_D_real: -0.026857 Loss_D_fake 0.001769
[411/5000][530/535][42214] Loss_D: -0.029879 Loss_G: 0.004773 Loss_D_real: -0.008190 Loss_D_fake 0.021689
[411/5000][535/535][42215] Loss_D: -0.027468 Loss_G: 0.015220 Loss_D_real: -0.022163 Loss_D_fake 0.005305
[412/5000][5/535][42216] Loss_D: -0.027432 Loss_G: 0.029401 Loss_D_real: -0.031016 Loss_D_fake -0.003584
[412/5000][10/535][42217] Loss_D: -0.029104 Loss_G: -0.001242 Loss_D_real: -0.004539 Loss_D_fake 0.024565
[412/5000][15/535][42218] Loss_D: -0.028434 Loss_G: 0.023203 Loss_D_real: -0.024877 Loss_D_fake 0.003557
[412/5000][20/535][42219] Loss_D: -0.029169 Loss_G: 0.007129 Loss_D_real: -0.012378 Loss_D_fake 0.016792
[412/5000][25/535][42220] Loss_D: -0.029340 Loss_G: 0.010974 Loss_D_real: -0.023945 Loss_D_fake 0.005396
[412/5000][30/535][42221] Loss_D: -0.027396 Loss_G: 0.032414 Loss_D_real: -0.032443 Loss_D_fake -0.005048
[412/5000][35/535][42222] Loss_D: -0.029240 Loss_G: -0.004600 Loss_D_real: -0.007457 Loss_D_fake 0.021783
[412/5000][40/535][42223] Loss_D: -0.028656 Loss_G: 0.042527 Loss_D_real: -0.032281 Loss_D_fake -0.003625
[412/5000][45/535][42224] Loss_D: -0.027628 Loss_G: 0.022519 Loss_D_real: -0.028693 Loss_D_fake -0.001065
[412/5000][50/535][42225] Loss_D: -0.030115 Loss_G: 0.014072 Loss_D_real: -0.015421 Loss_D_fake 0.014694
[412/5000][55/535][42226] Loss_D: -0.029037 Loss_G: 0.006038 Loss_D_real: -0.012111 Loss_D_fake 0.016926
[412/5000][60/535][42227] Loss_D: -0.029727 Loss_G: 0.021502 Loss_D_real: -0.025031 Loss_D_fake 0.004696
[412/5000][65/535][42228] Loss_D: -0.028206 Loss_G: 0.036633 Loss_D_real: -0.038874 Loss_D_fake -0.010668
[412/5000][70/535][42229] Loss_D: -0.027975 Loss_G: 0.011583 Loss_D_real: -0.007901 Loss_D_fake 0.020074
[412/5000][75/535][42230] Loss_D: -0.029284 Loss_G: 0.007202 Loss_D_real: -0.016166 Loss_D_fake 0.013118
[412/5000][80/535][42231] Loss_D: -0.029203 Loss_G: 0.011267 Loss_D_real: -0.016371 Loss_D_fake 0.012832
[412/5000][85/535][42232] Loss_D: -0.028432 Loss_G: -0.007279 Loss_D_real: 0.005507 Loss_D_fake 0.033938
[412/5000][90/535][42233] Loss_D: -0.028443 Loss_G: 0.004737 Loss_D_real: -0.011380 Loss_D_fake 0.017064
[412/5000][95/535][42234] Loss_D: -0.026718 Loss_G: 0.012011 Loss_D_real: -0.022897 Loss_D_fake 0.003822
[412/5000][100/535][42235] Loss_D: -0.029204 Loss_G: 0.017452 Loss_D_real: -0.022275 Loss_D_fake 0.006929
[412/5000][105/535][42236] Loss_D: -0.028178 Loss_G: 0.007964 Loss_D_real: -0.008733 Loss_D_fake 0.019445
[412/5000][110/535][42237] Loss_D: -0.028056 Loss_G: 0.016220 Loss_D_real: -0.022640 Loss_D_fake 0.005417
[412/5000][115/535][42238] Loss_D: -0.028295 Loss_G: 0.011711 Loss_D_real: -0.002460 Loss_D_fake 0.025836
[412/5000][120/535][42239] Loss_D: -0.027622 Loss_G: 0.017196 Loss_D_real: -0.022742 Loss_D_fake 0.004880
[412/5000][125/535][42240] Loss_D: -0.028478 Loss_G: 0.031312 Loss_D_real: -0.031738 Loss_D_fake -0.003260
[412/5000][130/535][42241] Loss_D: -0.026841 Loss_G: -0.001381 Loss_D_real: -0.000293 Loss_D_fake 0.026548
[412/5000][135/535][42242] Loss_D: -0.028365 Loss_G: 0.024009 Loss_D_real: -0.016547 Loss_D_fake 0.011818
[412/5000][140/535][42243] Loss_D: -0.029409 Loss_G: 0.024520 Loss_D_real: -0.020006 Loss_D_fake 0.009403
[412/5000][145/535][42244] Loss_D: -0.028218 Loss_G: 0.031320 Loss_D_real: -0.035853 Loss_D_fake -0.007635
[412/5000][150/535][42245] Loss_D: -0.030052 Loss_G: 0.002877 Loss_D_real: -0.015080 Loss_D_fake 0.014971
[412/5000][155/535][42246] Loss_D: -0.028303 Loss_G: 0.020136 Loss_D_real: -0.022130 Loss_D_fake 0.006173
[412/5000][160/535][42247] Loss_D: -0.028637 Loss_G: 0.039033 Loss_D_real: -0.036464 Loss_D_fake -0.007827
[412/5000][165/535][42248] Loss_D: -0.029014 Loss_G: 0.014308 Loss_D_real: -0.019784 Loss_D_fake 0.009230
[412/5000][170/535][42249] Loss_D: -0.028890 Loss_G: 0.007087 Loss_D_real: -0.013387 Loss_D_fake 0.015503
[412/5000][175/535][42250] Loss_D: -0.028879 Loss_G: 0.021442 Loss_D_real: -0.020507 Loss_D_fake 0.008372
[412/5000][180/535][42251] Loss_D: -0.029022 Loss_G: 0.018299 Loss_D_real: -0.035000 Loss_D_fake -0.005978
[412/5000][185/535][42252] Loss_D: -0.029415 Loss_G: -0.000872 Loss_D_real: -0.014397 Loss_D_fake 0.015018
[412/5000][190/535][42253] Loss_D: -0.028211 Loss_G: 0.007207 Loss_D_real: -0.013971 Loss_D_fake 0.014240
[412/5000][195/535][42254] Loss_D: -0.028396 Loss_G: 0.014715 Loss_D_real: -0.016429 Loss_D_fake 0.011967
[412/5000][200/535][42255] Loss_D: -0.028894 Loss_G: 0.019417 Loss_D_real: -0.030432 Loss_D_fake -0.001538
[412/5000][205/535][42256] Loss_D: -0.027758 Loss_G: 0.027660 Loss_D_real: -0.011672 Loss_D_fake 0.016086
[412/5000][210/535][42257] Loss_D: -0.026897 Loss_G: -0.021080 Loss_D_real: 0.003720 Loss_D_fake 0.030617
[412/5000][215/535][42258] Loss_D: -0.028334 Loss_G: 0.027577 Loss_D_real: -0.035269 Loss_D_fake -0.006934
[412/5000][220/535][42259] Loss_D: -0.029430 Loss_G: 0.000821 Loss_D_real: -0.014826 Loss_D_fake 0.014604
[412/5000][225/535][42260] Loss_D: -0.028540 Loss_G: 0.004690 Loss_D_real: -0.012872 Loss_D_fake 0.015668
[412/5000][230/535][42261] Loss_D: -0.027353 Loss_G: 0.000222 Loss_D_real: -0.009351 Loss_D_fake 0.018002
[412/5000][235/535][42262] Loss_D: -0.026223 Loss_G: 0.035511 Loss_D_real: -0.035090 Loss_D_fake -0.008868
[412/5000][240/535][42263] Loss_D: -0.027136 Loss_G: 0.009185 Loss_D_real: -0.017306 Loss_D_fake 0.009830
[412/5000][245/535][42264] Loss_D: -0.028330 Loss_G: 0.011952 Loss_D_real: -0.007373 Loss_D_fake 0.020956
[412/5000][250/535][42265] Loss_D: -0.028063 Loss_G: 0.033436 Loss_D_real: -0.035468 Loss_D_fake -0.007405
[412/5000][255/535][42266] Loss_D: -0.029375 Loss_G: -0.004122 Loss_D_real: -0.005242 Loss_D_fake 0.024133
[412/5000][260/535][42267] Loss_D: -0.026743 Loss_G: 0.010527 Loss_D_real: -0.013362 Loss_D_fake 0.013381
[412/5000][265/535][42268] Loss_D: -0.028910 Loss_G: 0.012222 Loss_D_real: -0.020875 Loss_D_fake 0.008035
[412/5000][270/535][42269] Loss_D: -0.030235 Loss_G: 0.017273 Loss_D_real: -0.019967 Loss_D_fake 0.010268
[412/5000][275/535][42270] Loss_D: -0.029710 Loss_G: 0.011981 Loss_D_real: -0.016023 Loss_D_fake 0.013687
[412/5000][280/535][42271] Loss_D: -0.029001 Loss_G: 0.011459 Loss_D_real: -0.018250 Loss_D_fake 0.010750
[412/5000][285/535][42272] Loss_D: -0.030034 Loss_G: 0.024786 Loss_D_real: -0.027802 Loss_D_fake 0.002232
[412/5000][290/535][42273] Loss_D: -0.028970 Loss_G: 0.010666 Loss_D_real: -0.021581 Loss_D_fake 0.007389
[412/5000][295/535][42274] Loss_D: -0.028535 Loss_G: 0.014985 Loss_D_real: -0.020859 Loss_D_fake 0.007676
[412/5000][300/535][42275] Loss_D: -0.029216 Loss_G: 0.006679 Loss_D_real: -0.005194 Loss_D_fake 0.024022
[412/5000][305/535][42276] Loss_D: -0.030179 Loss_G: 0.017451 Loss_D_real: -0.006938 Loss_D_fake 0.023241
[412/5000][310/535][42277] Loss_D: -0.028542 Loss_G: 0.018033 Loss_D_real: -0.029298 Loss_D_fake -0.000756
[412/5000][315/535][42278] Loss_D: -0.029528 Loss_G: 0.025931 Loss_D_real: -0.025018 Loss_D_fake 0.004510
[412/5000][320/535][42279] Loss_D: -0.028757 Loss_G: 0.041049 Loss_D_real: -0.034447 Loss_D_fake -0.005690
[412/5000][325/535][42280] Loss_D: -0.027733 Loss_G: 0.003619 Loss_D_real: -0.006008 Loss_D_fake 0.021725
[412/5000][330/535][42281] Loss_D: -0.029472 Loss_G: 0.023012 Loss_D_real: -0.028131 Loss_D_fake 0.001341
[412/5000][335/535][42282] Loss_D: -0.027851 Loss_G: -0.015807 Loss_D_real: -0.000876 Loss_D_fake 0.026975
[412/5000][340/535][42283] Loss_D: -0.027748 Loss_G: 0.025855 Loss_D_real: -0.026125 Loss_D_fake 0.001622
[412/5000][345/535][42284] Loss_D: -0.027685 Loss_G: 0.025645 Loss_D_real: -0.029933 Loss_D_fake -0.002248
[412/5000][350/535][42285] Loss_D: -0.029497 Loss_G: 0.013374 Loss_D_real: -0.017842 Loss_D_fake 0.011655
[412/5000][355/535][42286] Loss_D: -0.027109 Loss_G: 0.032518 Loss_D_real: -0.031942 Loss_D_fake -0.004833
[412/5000][360/535][42287] Loss_D: -0.029500 Loss_G: 0.004129 Loss_D_real: -0.017252 Loss_D_fake 0.012249
[412/5000][365/535][42288] Loss_D: -0.028789 Loss_G: 0.013462 Loss_D_real: -0.028657 Loss_D_fake 0.000132
[412/5000][370/535][42289] Loss_D: -0.027805 Loss_G: 0.022131 Loss_D_real: -0.022403 Loss_D_fake 0.005402
[412/5000][375/535][42290] Loss_D: -0.028290 Loss_G: 0.023862 Loss_D_real: -0.021866 Loss_D_fake 0.006424
[412/5000][380/535][42291] Loss_D: -0.029382 Loss_G: 0.021535 Loss_D_real: -0.022696 Loss_D_fake 0.006687
[412/5000][385/535][42292] Loss_D: -0.027474 Loss_G: 0.015923 Loss_D_real: -0.017722 Loss_D_fake 0.009752
[412/5000][390/535][42293] Loss_D: -0.028853 Loss_G: 0.006546 Loss_D_real: -0.022450 Loss_D_fake 0.006403
[412/5000][395/535][42294] Loss_D: -0.027928 Loss_G: 0.031789 Loss_D_real: -0.034647 Loss_D_fake -0.006719
[412/5000][400/535][42295] Loss_D: -0.028668 Loss_G: 0.006591 Loss_D_real: -0.015298 Loss_D_fake 0.013370
[412/5000][405/535][42296] Loss_D: -0.026627 Loss_G: 0.034213 Loss_D_real: -0.021103 Loss_D_fake 0.005524
[412/5000][410/535][42297] Loss_D: -0.027522 Loss_G: 0.026024 Loss_D_real: -0.024711 Loss_D_fake 0.002811
[412/5000][415/535][42298] Loss_D: -0.029335 Loss_G: 0.001903 Loss_D_real: -0.013457 Loss_D_fake 0.015879
[412/5000][420/535][42299] Loss_D: -0.028217 Loss_G: 0.017877 Loss_D_real: -0.021549 Loss_D_fake 0.006667
[412/5000][425/535][42300] Loss_D: -0.029545 Loss_G: 0.023060 Loss_D_real: -0.020573 Loss_D_fake 0.008972
[412/5000][430/535][42301] Loss_D: -0.029128 Loss_G: 0.018045 Loss_D_real: -0.015132 Loss_D_fake 0.013996
[412/5000][435/535][42302] Loss_D: -0.028199 Loss_G: 0.039686 Loss_D_real: -0.038398 Loss_D_fake -0.010199
[412/5000][440/535][42303] Loss_D: -0.028488 Loss_G: 0.033506 Loss_D_real: -0.026040 Loss_D_fake 0.002448
[412/5000][445/535][42304] Loss_D: -0.028563 Loss_G: 0.013299 Loss_D_real: -0.012613 Loss_D_fake 0.015950
[412/5000][450/535][42305] Loss_D: -0.029652 Loss_G: -0.003450 Loss_D_real: -0.009683 Loss_D_fake 0.019969
[412/5000][455/535][42306] Loss_D: -0.028250 Loss_G: 0.022167 Loss_D_real: -0.027269 Loss_D_fake 0.000981
[412/5000][460/535][42307] Loss_D: -0.029599 Loss_G: 0.019144 Loss_D_real: -0.028034 Loss_D_fake 0.001565
[412/5000][465/535][42308] Loss_D: -0.029225 Loss_G: 0.031080 Loss_D_real: -0.025639 Loss_D_fake 0.003586
[412/5000][470/535][42309] Loss_D: -0.029936 Loss_G: 0.005956 Loss_D_real: -0.013339 Loss_D_fake 0.016597
[412/5000][475/535][42310] Loss_D: -0.029673 Loss_G: 0.028057 Loss_D_real: -0.030455 Loss_D_fake -0.000782
[412/5000][480/535][42311] Loss_D: -0.030097 Loss_G: 0.000688 Loss_D_real: -0.005431 Loss_D_fake 0.024666
[412/5000][485/535][42312] Loss_D: -0.026828 Loss_G: -0.007200 Loss_D_real: -0.004563 Loss_D_fake 0.022264
[412/5000][490/535][42313] Loss_D: -0.028293 Loss_G: 0.015675 Loss_D_real: -0.022816 Loss_D_fake 0.005477
[412/5000][495/535][42314] Loss_D: -0.027258 Loss_G: 0.005806 Loss_D_real: -0.015477 Loss_D_fake 0.011780
[412/5000][500/535][42315] Loss_D: -0.029179 Loss_G: 0.021403 Loss_D_real: -0.025960 Loss_D_fake 0.003219
[412/5000][505/535][42316] Loss_D: -0.028424 Loss_G: -0.002166 Loss_D_real: -0.006500 Loss_D_fake 0.021924
[412/5000][510/535][42317] Loss_D: -0.030417 Loss_G: 0.008410 Loss_D_real: -0.008409 Loss_D_fake 0.022008
[412/5000][515/535][42318] Loss_D: -0.027350 Loss_G: -0.009464 Loss_D_real: -0.004632 Loss_D_fake 0.022718
[412/5000][520/535][42319] Loss_D: -0.030515 Loss_G: 0.036891 Loss_D_real: -0.029925 Loss_D_fake 0.000590
[412/5000][525/535][42320] Loss_D: -0.029003 Loss_G: 0.006405 Loss_D_real: -0.015718 Loss_D_fake 0.013285
[412/5000][530/535][42321] Loss_D: -0.027864 Loss_G: 0.006278 Loss_D_real: -0.020306 Loss_D_fake 0.007558
[412/5000][535/535][42322] Loss_D: -0.026276 Loss_G: 0.040145 Loss_D_real: -0.026687 Loss_D_fake -0.000411
[413/5000][5/535][42323] Loss_D: -0.027416 Loss_G: 0.000222 Loss_D_real: -0.013887 Loss_D_fake 0.013529
[413/5000][10/535][42324] Loss_D: -0.028229 Loss_G: 0.014009 Loss_D_real: -0.021754 Loss_D_fake 0.006474
[413/5000][15/535][42325] Loss_D: -0.028657 Loss_G: 0.026842 Loss_D_real: -0.029717 Loss_D_fake -0.001060
[413/5000][20/535][42326] Loss_D: -0.028968 Loss_G: 0.023659 Loss_D_real: -0.022743 Loss_D_fake 0.006225
[413/5000][25/535][42327] Loss_D: -0.028391 Loss_G: 0.017150 Loss_D_real: -0.023180 Loss_D_fake 0.005210
[413/5000][30/535][42328] Loss_D: -0.028848 Loss_G: 0.019270 Loss_D_real: -0.013274 Loss_D_fake 0.015573
[413/5000][35/535][42329] Loss_D: -0.026594 Loss_G: 0.004362 Loss_D_real: -0.011488 Loss_D_fake 0.015105
[413/5000][40/535][42330] Loss_D: -0.028467 Loss_G: 0.008724 Loss_D_real: -0.023973 Loss_D_fake 0.004494
[413/5000][45/535][42331] Loss_D: -0.029102 Loss_G: 0.009530 Loss_D_real: -0.025873 Loss_D_fake 0.003229
[413/5000][50/535][42332] Loss_D: -0.028837 Loss_G: 0.025339 Loss_D_real: -0.024034 Loss_D_fake 0.004803
[413/5000][55/535][42333] Loss_D: -0.028186 Loss_G: -0.001354 Loss_D_real: -0.011385 Loss_D_fake 0.016801
[413/5000][60/535][42334] Loss_D: -0.027764 Loss_G: 0.037372 Loss_D_real: -0.034797 Loss_D_fake -0.007032
[413/5000][65/535][42335] Loss_D: -0.027564 Loss_G: 0.014858 Loss_D_real: -0.013709 Loss_D_fake 0.013854
[413/5000][70/535][42336] Loss_D: -0.027279 Loss_G: 0.035058 Loss_D_real: -0.036426 Loss_D_fake -0.009147
[413/5000][75/535][42337] Loss_D: -0.027336 Loss_G: -0.015608 Loss_D_real: 0.000156 Loss_D_fake 0.027491
[413/5000][80/535][42338] Loss_D: -0.027812 Loss_G: 0.027246 Loss_D_real: -0.030755 Loss_D_fake -0.002943
[413/5000][85/535][42339] Loss_D: -0.028935 Loss_G: 0.013807 Loss_D_real: -0.013372 Loss_D_fake 0.015563
[413/5000][90/535][42340] Loss_D: -0.027326 Loss_G: 0.027907 Loss_D_real: -0.026061 Loss_D_fake 0.001264
[413/5000][95/535][42341] Loss_D: -0.029106 Loss_G: 0.032421 Loss_D_real: -0.017154 Loss_D_fake 0.011952
[413/5000][100/535][42342] Loss_D: -0.029380 Loss_G: 0.010695 Loss_D_real: -0.013965 Loss_D_fake 0.015416
[413/5000][105/535][42343] Loss_D: -0.029858 Loss_G: 0.007611 Loss_D_real: -0.017424 Loss_D_fake 0.012435
[413/5000][110/535][42344] Loss_D: -0.029718 Loss_G: 0.001799 Loss_D_real: -0.007895 Loss_D_fake 0.021823
[413/5000][115/535][42345] Loss_D: -0.028558 Loss_G: 0.022733 Loss_D_real: -0.031574 Loss_D_fake -0.003016
[413/5000][120/535][42346] Loss_D: -0.029369 Loss_G: -0.020189 Loss_D_real: -0.007650 Loss_D_fake 0.021719
[413/5000][125/535][42347] Loss_D: -0.027996 Loss_G: 0.043994 Loss_D_real: -0.026939 Loss_D_fake 0.001057
[413/5000][130/535][42348] Loss_D: -0.028499 Loss_G: 0.009133 Loss_D_real: -0.010401 Loss_D_fake 0.018098
[413/5000][135/535][42349] Loss_D: -0.027935 Loss_G: 0.014280 Loss_D_real: -0.025246 Loss_D_fake 0.002690
[413/5000][140/535][42350] Loss_D: -0.028008 Loss_G: 0.011273 Loss_D_real: -0.017172 Loss_D_fake 0.010836
[413/5000][145/535][42351] Loss_D: -0.029433 Loss_G: 0.022529 Loss_D_real: -0.023288 Loss_D_fake 0.006144
[413/5000][150/535][42352] Loss_D: -0.028940 Loss_G: 0.021160 Loss_D_real: -0.023646 Loss_D_fake 0.005294
[413/5000][155/535][42353] Loss_D: -0.028043 Loss_G: 0.013550 Loss_D_real: -0.018104 Loss_D_fake 0.009938
[413/5000][160/535][42354] Loss_D: -0.030132 Loss_G: -0.006185 Loss_D_real: -0.009221 Loss_D_fake 0.020911
[413/5000][165/535][42355] Loss_D: -0.028986 Loss_G: 0.031749 Loss_D_real: -0.030902 Loss_D_fake -0.001916
[413/5000][170/535][42356] Loss_D: -0.028386 Loss_G: -0.004799 Loss_D_real: 0.003054 Loss_D_fake 0.031440
[413/5000][175/535][42357] Loss_D: -0.027794 Loss_G: -0.002857 Loss_D_real: 0.000959 Loss_D_fake 0.028753
[413/5000][180/535][42358] Loss_D: -0.028411 Loss_G: 0.014770 Loss_D_real: -0.016430 Loss_D_fake 0.011980
[413/5000][185/535][42359] Loss_D: -0.029467 Loss_G: 0.021466 Loss_D_real: -0.031648 Loss_D_fake -0.002181
[413/5000][190/535][42360] Loss_D: -0.028719 Loss_G: 0.011955 Loss_D_real: -0.011267 Loss_D_fake 0.017452
[413/5000][195/535][42361] Loss_D: -0.029263 Loss_G: 0.006737 Loss_D_real: -0.015762 Loss_D_fake 0.013502
[413/5000][200/535][42362] Loss_D: -0.027831 Loss_G: 0.032283 Loss_D_real: -0.026698 Loss_D_fake 0.001133
[413/5000][205/535][42363] Loss_D: -0.029626 Loss_G: 0.006064 Loss_D_real: -0.011593 Loss_D_fake 0.018033
[413/5000][210/535][42364] Loss_D: -0.029323 Loss_G: 0.027928 Loss_D_real: -0.031231 Loss_D_fake -0.001908
[413/5000][215/535][42365] Loss_D: -0.028727 Loss_G: -0.000756 Loss_D_real: -0.008354 Loss_D_fake 0.020373
[413/5000][220/535][42366] Loss_D: -0.029571 Loss_G: 0.020942 Loss_D_real: -0.025178 Loss_D_fake 0.004393
[413/5000][225/535][42367] Loss_D: -0.027968 Loss_G: 0.005004 Loss_D_real: -0.018631 Loss_D_fake 0.009337
[413/5000][230/535][42368] Loss_D: -0.029790 Loss_G: 0.023097 Loss_D_real: -0.016926 Loss_D_fake 0.012864
[413/5000][235/535][42369] Loss_D: -0.028892 Loss_G: 0.025757 Loss_D_real: -0.020649 Loss_D_fake 0.008243
[413/5000][240/535][42370] Loss_D: -0.029265 Loss_G: 0.012217 Loss_D_real: -0.016002 Loss_D_fake 0.013263
[413/5000][245/535][42371] Loss_D: -0.027975 Loss_G: 0.017266 Loss_D_real: -0.024967 Loss_D_fake 0.003008
[413/5000][250/535][42372] Loss_D: -0.028457 Loss_G: 0.005955 Loss_D_real: -0.010048 Loss_D_fake 0.018410
[413/5000][255/535][42373] Loss_D: -0.029309 Loss_G: 0.019084 Loss_D_real: -0.016723 Loss_D_fake 0.012586
[413/5000][260/535][42374] Loss_D: -0.027571 Loss_G: -0.006532 Loss_D_real: -0.004107 Loss_D_fake 0.023464
[413/5000][265/535][42375] Loss_D: -0.026398 Loss_G: 0.022842 Loss_D_real: -0.037623 Loss_D_fake -0.011225
[413/5000][270/535][42376] Loss_D: -0.029363 Loss_G: 0.003463 Loss_D_real: -0.000514 Loss_D_fake 0.028850
[413/5000][275/535][42377] Loss_D: -0.027207 Loss_G: 0.028698 Loss_D_real: -0.025985 Loss_D_fake 0.001221
[413/5000][280/535][42378] Loss_D: -0.028144 Loss_G: 0.015367 Loss_D_real: -0.025023 Loss_D_fake 0.003122
[413/5000][285/535][42379] Loss_D: -0.029279 Loss_G: 0.009550 Loss_D_real: -0.019915 Loss_D_fake 0.009364
[413/5000][290/535][42380] Loss_D: -0.029360 Loss_G: 0.017608 Loss_D_real: -0.021656 Loss_D_fake 0.007705
[413/5000][295/535][42381] Loss_D: -0.029480 Loss_G: 0.019146 Loss_D_real: -0.006253 Loss_D_fake 0.023227
[413/5000][300/535][42382] Loss_D: -0.028893 Loss_G: 0.022680 Loss_D_real: -0.028061 Loss_D_fake 0.000833
[413/5000][305/535][42383] Loss_D: -0.029128 Loss_G: 0.026354 Loss_D_real: -0.023159 Loss_D_fake 0.005969
[413/5000][310/535][42384] Loss_D: -0.029086 Loss_G: 0.021862 Loss_D_real: -0.033853 Loss_D_fake -0.004767
[413/5000][315/535][42385] Loss_D: -0.028547 Loss_G: 0.041859 Loss_D_real: -0.033451 Loss_D_fake -0.004904
[413/5000][320/535][42386] Loss_D: -0.029214 Loss_G: 0.013903 Loss_D_real: -0.022921 Loss_D_fake 0.006293
[413/5000][325/535][42387] Loss_D: -0.028429 Loss_G: 0.025566 Loss_D_real: -0.015636 Loss_D_fake 0.012793
[413/5000][330/535][42388] Loss_D: -0.028228 Loss_G: -0.002154 Loss_D_real: -0.007201 Loss_D_fake 0.021027
[413/5000][335/535][42389] Loss_D: -0.028078 Loss_G: 0.011995 Loss_D_real: -0.020628 Loss_D_fake 0.007450
[413/5000][340/535][42390] Loss_D: -0.029782 Loss_G: 0.024924 Loss_D_real: -0.027583 Loss_D_fake 0.002199
[413/5000][345/535][42391] Loss_D: -0.028640 Loss_G: 0.024092 Loss_D_real: -0.027186 Loss_D_fake 0.001454
[413/5000][350/535][42392] Loss_D: -0.028783 Loss_G: 0.013047 Loss_D_real: -0.018580 Loss_D_fake 0.010202
[413/5000][355/535][42393] Loss_D: -0.028328 Loss_G: -0.012434 Loss_D_real: -0.006579 Loss_D_fake 0.021750
[413/5000][360/535][42394] Loss_D: -0.029118 Loss_G: 0.025691 Loss_D_real: -0.014017 Loss_D_fake 0.015101
[413/5000][365/535][42395] Loss_D: -0.029682 Loss_G: 0.007545 Loss_D_real: -0.008761 Loss_D_fake 0.020921
[413/5000][370/535][42396] Loss_D: -0.028358 Loss_G: 0.022869 Loss_D_real: -0.023469 Loss_D_fake 0.004889
[413/5000][375/535][42397] Loss_D: -0.029017 Loss_G: 0.012887 Loss_D_real: -0.019419 Loss_D_fake 0.009598
[413/5000][380/535][42398] Loss_D: -0.029345 Loss_G: -0.009195 Loss_D_real: -0.001698 Loss_D_fake 0.027648
[413/5000][385/535][42399] Loss_D: -0.027831 Loss_G: 0.033690 Loss_D_real: -0.036350 Loss_D_fake -0.008518
[413/5000][390/535][42400] Loss_D: -0.029641 Loss_G: 0.022227 Loss_D_real: -0.010647 Loss_D_fake 0.018993
[413/5000][395/535][42401] Loss_D: -0.028455 Loss_G: 0.030497 Loss_D_real: -0.028013 Loss_D_fake 0.000442
[413/5000][400/535][42402] Loss_D: -0.029210 Loss_G: 0.008616 Loss_D_real: -0.021880 Loss_D_fake 0.007329
[413/5000][405/535][42403] Loss_D: -0.027654 Loss_G: -0.010369 Loss_D_real: -0.001656 Loss_D_fake 0.025998
[413/5000][410/535][42404] Loss_D: -0.026768 Loss_G: -0.000555 Loss_D_real: -0.008594 Loss_D_fake 0.018174
[413/5000][415/535][42405] Loss_D: -0.028260 Loss_G: 0.019929 Loss_D_real: -0.015222 Loss_D_fake 0.013038
[413/5000][420/535][42406] Loss_D: -0.028861 Loss_G: 0.021058 Loss_D_real: -0.016618 Loss_D_fake 0.012244
[413/5000][425/535][42407] Loss_D: -0.028228 Loss_G: 0.027300 Loss_D_real: -0.030857 Loss_D_fake -0.002629
[413/5000][430/535][42408] Loss_D: -0.028173 Loss_G: 0.024377 Loss_D_real: -0.032365 Loss_D_fake -0.004191
[413/5000][435/535][42409] Loss_D: -0.027875 Loss_G: 0.021546 Loss_D_real: -0.026940 Loss_D_fake 0.000935
[413/5000][440/535][42410] Loss_D: -0.028742 Loss_G: 0.016438 Loss_D_real: -0.023702 Loss_D_fake 0.005040
[413/5000][445/535][42411] Loss_D: -0.029122 Loss_G: 0.012737 Loss_D_real: -0.015974 Loss_D_fake 0.013148
[413/5000][450/535][42412] Loss_D: -0.029184 Loss_G: 0.019993 Loss_D_real: -0.023289 Loss_D_fake 0.005895
[413/5000][455/535][42413] Loss_D: -0.026538 Loss_G: 0.035211 Loss_D_real: -0.038640 Loss_D_fake -0.012102
[413/5000][460/535][42414] Loss_D: -0.028693 Loss_G: 0.007833 Loss_D_real: -0.008988 Loss_D_fake 0.019705
[413/5000][465/535][42415] Loss_D: -0.029698 Loss_G: 0.016037 Loss_D_real: -0.022414 Loss_D_fake 0.007284
[413/5000][470/535][42416] Loss_D: -0.028932 Loss_G: 0.013577 Loss_D_real: -0.018637 Loss_D_fake 0.010295
[413/5000][475/535][42417] Loss_D: -0.028027 Loss_G: 0.034397 Loss_D_real: -0.026757 Loss_D_fake 0.001270
[413/5000][480/535][42418] Loss_D: -0.028109 Loss_G: 0.015389 Loss_D_real: -0.014036 Loss_D_fake 0.014073
[413/5000][485/535][42419] Loss_D: -0.028431 Loss_G: 0.015693 Loss_D_real: -0.009875 Loss_D_fake 0.018556
[413/5000][490/535][42420] Loss_D: -0.027478 Loss_G: 0.015298 Loss_D_real: -0.023379 Loss_D_fake 0.004099
[413/5000][495/535][42421] Loss_D: -0.028292 Loss_G: 0.017759 Loss_D_real: -0.014498 Loss_D_fake 0.013795
[413/5000][500/535][42422] Loss_D: -0.027928 Loss_G: 0.021635 Loss_D_real: -0.021483 Loss_D_fake 0.006445
[413/5000][505/535][42423] Loss_D: -0.028181 Loss_G: 0.026341 Loss_D_real: -0.020285 Loss_D_fake 0.007896
[413/5000][510/535][42424] Loss_D: -0.029424 Loss_G: 0.013286 Loss_D_real: -0.024936 Loss_D_fake 0.004488
[413/5000][515/535][42425] Loss_D: -0.030554 Loss_G: 0.023485 Loss_D_real: -0.028068 Loss_D_fake 0.002486
[413/5000][520/535][42426] Loss_D: -0.027934 Loss_G: -0.000438 Loss_D_real: -0.006618 Loss_D_fake 0.021316
[413/5000][525/535][42427] Loss_D: -0.028248 Loss_G: 0.011824 Loss_D_real: -0.019421 Loss_D_fake 0.008827
[413/5000][530/535][42428] Loss_D: -0.029640 Loss_G: 0.024489 Loss_D_real: -0.019164 Loss_D_fake 0.010476
[413/5000][535/535][42429] Loss_D: -0.028500 Loss_G: 0.031297 Loss_D_real: -0.014391 Loss_D_fake 0.014108
[414/5000][5/535][42430] Loss_D: -0.029748 Loss_G: -0.006674 Loss_D_real: -0.017899 Loss_D_fake 0.011849
[414/5000][10/535][42431] Loss_D: -0.028084 Loss_G: 0.012893 Loss_D_real: -0.024456 Loss_D_fake 0.003628
[414/5000][15/535][42432] Loss_D: -0.028631 Loss_G: 0.024965 Loss_D_real: -0.027406 Loss_D_fake 0.001225
[414/5000][20/535][42433] Loss_D: -0.029155 Loss_G: 0.023296 Loss_D_real: -0.030035 Loss_D_fake -0.000880
[414/5000][25/535][42434] Loss_D: -0.027988 Loss_G: 0.020404 Loss_D_real: -0.023662 Loss_D_fake 0.004326
[414/5000][30/535][42435] Loss_D: -0.028931 Loss_G: -0.005126 Loss_D_real: -0.013033 Loss_D_fake 0.015898
[414/5000][35/535][42436] Loss_D: -0.027231 Loss_G: 0.026179 Loss_D_real: -0.025151 Loss_D_fake 0.002080
[414/5000][40/535][42437] Loss_D: -0.028107 Loss_G: 0.012741 Loss_D_real: -0.010694 Loss_D_fake 0.017413
[414/5000][45/535][42438] Loss_D: -0.028609 Loss_G: 0.024835 Loss_D_real: -0.022724 Loss_D_fake 0.005884
[414/5000][50/535][42439] Loss_D: -0.028667 Loss_G: 0.024821 Loss_D_real: -0.026802 Loss_D_fake 0.001864
[414/5000][55/535][42440] Loss_D: -0.028286 Loss_G: 0.022328 Loss_D_real: -0.018380 Loss_D_fake 0.009906
[414/5000][60/535][42441] Loss_D: -0.026857 Loss_G: 0.042529 Loss_D_real: -0.039233 Loss_D_fake -0.012376
[414/5000][65/535][42442] Loss_D: -0.029088 Loss_G: -0.006332 Loss_D_real: -0.011662 Loss_D_fake 0.017426
[414/5000][70/535][42443] Loss_D: -0.026022 Loss_G: -0.005186 Loss_D_real: -0.000530 Loss_D_fake 0.025492
[414/5000][75/535][42444] Loss_D: -0.028381 Loss_G: 0.031076 Loss_D_real: -0.029946 Loss_D_fake -0.001565
[414/5000][80/535][42445] Loss_D: -0.028420 Loss_G: -0.005880 Loss_D_real: -0.004464 Loss_D_fake 0.023956
[414/5000][85/535][42446] Loss_D: -0.028028 Loss_G: 0.027053 Loss_D_real: -0.028367 Loss_D_fake -0.000339
[414/5000][90/535][42447] Loss_D: -0.030451 Loss_G: 0.014024 Loss_D_real: -0.020909 Loss_D_fake 0.009542
[414/5000][95/535][42448] Loss_D: -0.029227 Loss_G: 0.011537 Loss_D_real: -0.010572 Loss_D_fake 0.018656
[414/5000][100/535][42449] Loss_D: -0.028272 Loss_G: 0.034383 Loss_D_real: -0.035058 Loss_D_fake -0.006786
[414/5000][105/535][42450] Loss_D: -0.027301 Loss_G: -0.007714 Loss_D_real: -0.007241 Loss_D_fake 0.020059
[414/5000][110/535][42451] Loss_D: -0.029092 Loss_G: 0.015963 Loss_D_real: -0.021817 Loss_D_fake 0.007276
[414/5000][115/535][42452] Loss_D: -0.027333 Loss_G: 0.023121 Loss_D_real: -0.026174 Loss_D_fake 0.001159
[414/5000][120/535][42453] Loss_D: -0.027121 Loss_G: 0.006567 Loss_D_real: -0.000991 Loss_D_fake 0.026130
[414/5000][125/535][42454] Loss_D: -0.028024 Loss_G: 0.005777 Loss_D_real: -0.015001 Loss_D_fake 0.013023
[414/5000][130/535][42455] Loss_D: -0.028876 Loss_G: 0.015837 Loss_D_real: -0.023745 Loss_D_fake 0.005131
[414/5000][135/535][42456] Loss_D: -0.028823 Loss_G: 0.027556 Loss_D_real: -0.033908 Loss_D_fake -0.005085
[414/5000][140/535][42457] Loss_D: -0.029635 Loss_G: 0.020728 Loss_D_real: -0.023434 Loss_D_fake 0.006201
[414/5000][145/535][42458] Loss_D: -0.029506 Loss_G: 0.026033 Loss_D_real: -0.030108 Loss_D_fake -0.000603
[414/5000][150/535][42459] Loss_D: -0.028819 Loss_G: 0.031066 Loss_D_real: -0.030907 Loss_D_fake -0.002087
[414/5000][155/535][42460] Loss_D: -0.028964 Loss_G: 0.015618 Loss_D_real: -0.013922 Loss_D_fake 0.015042
[414/5000][160/535][42461] Loss_D: -0.028401 Loss_G: 0.023151 Loss_D_real: -0.028444 Loss_D_fake -0.000043
[414/5000][165/535][42462] Loss_D: -0.026809 Loss_G: -0.009045 Loss_D_real: 0.006697 Loss_D_fake 0.033505
[414/5000][170/535][42463] Loss_D: -0.026745 Loss_G: 0.020549 Loss_D_real: -0.013451 Loss_D_fake 0.013294
[414/5000][175/535][42464] Loss_D: -0.026514 Loss_G: -0.006672 Loss_D_real: -0.006582 Loss_D_fake 0.019932
[414/5000][180/535][42465] Loss_D: -0.028785 Loss_G: 0.028430 Loss_D_real: -0.033347 Loss_D_fake -0.004562
[414/5000][185/535][42466] Loss_D: -0.029059 Loss_G: 0.028327 Loss_D_real: -0.028956 Loss_D_fake 0.000104
[414/5000][190/535][42467] Loss_D: -0.028363 Loss_G: 0.026181 Loss_D_real: -0.020257 Loss_D_fake 0.008106
[414/5000][195/535][42468] Loss_D: -0.027632 Loss_G: -0.004829 Loss_D_real: -0.005010 Loss_D_fake 0.022622
[414/5000][200/535][42469] Loss_D: -0.026798 Loss_G: 0.043247 Loss_D_real: -0.039372 Loss_D_fake -0.012574
[414/5000][205/535][42470] Loss_D: -0.028997 Loss_G: 0.003787 Loss_D_real: -0.013470 Loss_D_fake 0.015527
[414/5000][210/535][42471] Loss_D: -0.029204 Loss_G: 0.018602 Loss_D_real: -0.023835 Loss_D_fake 0.005368
[414/5000][215/535][42472] Loss_D: -0.029428 Loss_G: 0.019245 Loss_D_real: -0.029754 Loss_D_fake -0.000327
[414/5000][220/535][42473] Loss_D: -0.028895 Loss_G: 0.022938 Loss_D_real: -0.027722 Loss_D_fake 0.001173
[414/5000][225/535][42474] Loss_D: -0.029385 Loss_G: 0.006414 Loss_D_real: -0.016660 Loss_D_fake 0.012725
[414/5000][230/535][42475] Loss_D: -0.027507 Loss_G: 0.004553 Loss_D_real: -0.009706 Loss_D_fake 0.017801
[414/5000][235/535][42476] Loss_D: -0.027744 Loss_G: 0.017038 Loss_D_real: -0.022883 Loss_D_fake 0.004861
[414/5000][240/535][42477] Loss_D: -0.030766 Loss_G: 0.019253 Loss_D_real: -0.025847 Loss_D_fake 0.004920
[414/5000][245/535][42478] Loss_D: -0.029240 Loss_G: 0.033119 Loss_D_real: -0.028512 Loss_D_fake 0.000728
[414/5000][250/535][42479] Loss_D: -0.028291 Loss_G: 0.000316 Loss_D_real: -0.006749 Loss_D_fake 0.021542
[414/5000][255/535][42480] Loss_D: -0.027978 Loss_G: -0.002130 Loss_D_real: -0.008447 Loss_D_fake 0.019531
[414/5000][260/535][42481] Loss_D: -0.025951 Loss_G: 0.039855 Loss_D_real: -0.022771 Loss_D_fake 0.003180
[414/5000][265/535][42482] Loss_D: -0.028386 Loss_G: 0.011180 Loss_D_real: -0.018114 Loss_D_fake 0.010272
[414/5000][270/535][42483] Loss_D: -0.027960 Loss_G: 0.025249 Loss_D_real: -0.022447 Loss_D_fake 0.005514
[414/5000][275/535][42484] Loss_D: -0.026678 Loss_G: 0.001035 Loss_D_real: 0.005264 Loss_D_fake 0.031943
[414/5000][280/535][42485] Loss_D: -0.025213 Loss_G: 0.025910 Loss_D_real: -0.025560 Loss_D_fake -0.000347
[414/5000][285/535][42486] Loss_D: -0.027990 Loss_G: 0.024021 Loss_D_real: -0.012719 Loss_D_fake 0.015271
[414/5000][290/535][42487] Loss_D: -0.029795 Loss_G: 0.015538 Loss_D_real: -0.025418 Loss_D_fake 0.004377
[414/5000][295/535][42488] Loss_D: -0.031107 Loss_G: 0.014158 Loss_D_real: -0.013729 Loss_D_fake 0.017377
[414/5000][300/535][42489] Loss_D: -0.028885 Loss_G: 0.018891 Loss_D_real: -0.020678 Loss_D_fake 0.008208
[414/5000][305/535][42490] Loss_D: -0.029497 Loss_G: 0.028834 Loss_D_real: -0.024479 Loss_D_fake 0.005017
[414/5000][310/535][42491] Loss_D: -0.029344 Loss_G: 0.032133 Loss_D_real: -0.016272 Loss_D_fake 0.013073
[414/5000][315/535][42492] Loss_D: -0.027527 Loss_G: 0.004322 Loss_D_real: -0.015168 Loss_D_fake 0.012358
[414/5000][320/535][42493] Loss_D: -0.029251 Loss_G: -0.010364 Loss_D_real: -0.007576 Loss_D_fake 0.021674
[414/5000][325/535][42494] Loss_D: -0.028049 Loss_G: 0.014380 Loss_D_real: -0.018318 Loss_D_fake 0.009731
[414/5000][330/535][42495] Loss_D: -0.029297 Loss_G: 0.018674 Loss_D_real: -0.027233 Loss_D_fake 0.002064
[414/5000][335/535][42496] Loss_D: -0.027673 Loss_G: 0.009269 Loss_D_real: -0.011598 Loss_D_fake 0.016076
[414/5000][340/535][42497] Loss_D: -0.028350 Loss_G: 0.013341 Loss_D_real: -0.018481 Loss_D_fake 0.009869
[414/5000][345/535][42498] Loss_D: -0.028607 Loss_G: 0.000571 Loss_D_real: -0.012035 Loss_D_fake 0.016573
[414/5000][350/535][42499] Loss_D: -0.029078 Loss_G: -0.008423 Loss_D_real: -0.006935 Loss_D_fake 0.022143
[414/5000][355/535][42500] Loss_D: -0.025898 Loss_G: 0.020908 Loss_D_real: -0.027949 Loss_D_fake -0.002051
[414/5000][455/535][42501] Loss_D: -0.029810 Loss_G: 0.002538 Loss_D_real: -0.011638 Loss_D_fake 0.018172
[414/5000][460/535][42502] Loss_D: -0.027986 Loss_G: 0.000890 Loss_D_real: -0.012326 Loss_D_fake 0.015661
[414/5000][465/535][42503] Loss_D: -0.025303 Loss_G: 0.022514 Loss_D_real: -0.025377 Loss_D_fake -0.000074
[414/5000][470/535][42504] Loss_D: -0.026315 Loss_G: 0.002161 Loss_D_real: -0.014000 Loss_D_fake 0.012315
[414/5000][475/535][42505] Loss_D: -0.026510 Loss_G: -0.013477 Loss_D_real: 0.000855 Loss_D_fake 0.027366
[414/5000][480/535][42506] Loss_D: -0.026934 Loss_G: 0.022974 Loss_D_real: -0.022833 Loss_D_fake 0.004101
[414/5000][485/535][42507] Loss_D: -0.028195 Loss_G: 0.008840 Loss_D_real: -0.020884 Loss_D_fake 0.007310
[414/5000][490/535][42508] Loss_D: -0.027434 Loss_G: 0.033053 Loss_D_real: -0.025286 Loss_D_fake 0.002148
[414/5000][495/535][42509] Loss_D: -0.028275 Loss_G: 0.037478 Loss_D_real: -0.035785 Loss_D_fake -0.007510
[414/5000][500/535][42510] Loss_D: -0.027526 Loss_G: 0.017648 Loss_D_real: -0.023540 Loss_D_fake 0.003987
[414/5000][505/535][42511] Loss_D: -0.029461 Loss_G: 0.010705 Loss_D_real: -0.023199 Loss_D_fake 0.006262
[414/5000][510/535][42512] Loss_D: -0.028046 Loss_G: 0.029526 Loss_D_real: -0.030679 Loss_D_fake -0.002633
[414/5000][515/535][42513] Loss_D: -0.029307 Loss_G: 0.011247 Loss_D_real: -0.022033 Loss_D_fake 0.007275
[414/5000][520/535][42514] Loss_D: -0.027415 Loss_G: 0.026885 Loss_D_real: -0.031936 Loss_D_fake -0.004521
[414/5000][525/535][42515] Loss_D: -0.029713 Loss_G: 0.022767 Loss_D_real: -0.018758 Loss_D_fake 0.010956
[414/5000][530/535][42516] Loss_D: -0.029921 Loss_G: 0.010035 Loss_D_real: -0.021228 Loss_D_fake 0.008693
[414/5000][535/535][42517] Loss_D: -0.031865 Loss_G: 0.031640 Loss_D_real: -0.029875 Loss_D_fake 0.001990
[415/5000][5/535][42518] Loss_D: -0.028875 Loss_G: 0.005678 Loss_D_real: -0.004491 Loss_D_fake 0.024384
[415/5000][10/535][42519] Loss_D: -0.027057 Loss_G: -0.001674 Loss_D_real: -0.010028 Loss_D_fake 0.017028
[415/5000][15/535][42520] Loss_D: -0.028238 Loss_G: 0.025183 Loss_D_real: -0.025728 Loss_D_fake 0.002510
[415/5000][20/535][42521] Loss_D: -0.028669 Loss_G: 0.012655 Loss_D_real: -0.019090 Loss_D_fake 0.009579
[415/5000][25/535][42522] Loss_D: -0.029028 Loss_G: 0.023795 Loss_D_real: -0.016804 Loss_D_fake 0.012224
[415/5000][30/535][42523] Loss_D: -0.027620 Loss_G: 0.007648 Loss_D_real: -0.011909 Loss_D_fake 0.015711
[415/5000][35/535][42524] Loss_D: -0.028765 Loss_G: 0.004801 Loss_D_real: -0.005156 Loss_D_fake 0.023609
[415/5000][40/535][42525] Loss_D: -0.027376 Loss_G: 0.028813 Loss_D_real: -0.031618 Loss_D_fake -0.004243
[415/5000][45/535][42526] Loss_D: -0.029273 Loss_G: 0.005934 Loss_D_real: -0.011895 Loss_D_fake 0.017377
[415/5000][50/535][42527] Loss_D: -0.027075 Loss_G: 0.031680 Loss_D_real: -0.024900 Loss_D_fake 0.002175
[415/5000][55/535][42528] Loss_D: -0.027395 Loss_G: -0.009860 Loss_D_real: -0.000037 Loss_D_fake 0.027358
[415/5000][60/535][42529] Loss_D: -0.027652 Loss_G: 0.022815 Loss_D_real: -0.029205 Loss_D_fake -0.001553
[415/5000][65/535][42530] Loss_D: -0.029156 Loss_G: 0.014133 Loss_D_real: -0.011283 Loss_D_fake 0.017873
[415/5000][70/535][42531] Loss_D: -0.030340 Loss_G: 0.017975 Loss_D_real: -0.019834 Loss_D_fake 0.010507
[415/5000][75/535][42532] Loss_D: -0.027528 Loss_G: 0.025664 Loss_D_real: -0.024541 Loss_D_fake 0.002987
[415/5000][80/535][42533] Loss_D: -0.029412 Loss_G: 0.006948 Loss_D_real: -0.012932 Loss_D_fake 0.016480
[415/5000][85/535][42534] Loss_D: -0.026307 Loss_G: 0.030966 Loss_D_real: -0.030919 Loss_D_fake -0.004612
[415/5000][90/535][42535] Loss_D: -0.028483 Loss_G: 0.028724 Loss_D_real: -0.022163 Loss_D_fake 0.006320
[415/5000][95/535][42536] Loss_D: -0.029544 Loss_G: -0.001457 Loss_D_real: -0.000307 Loss_D_fake 0.029237
[415/5000][100/535][42537] Loss_D: -0.027792 Loss_G: 0.012310 Loss_D_real: -0.018146 Loss_D_fake 0.009646
[415/5000][105/535][42538] Loss_D: -0.029336 Loss_G: 0.011740 Loss_D_real: -0.019608 Loss_D_fake 0.009728
[415/5000][110/535][42539] Loss_D: -0.028109 Loss_G: 0.018262 Loss_D_real: -0.026890 Loss_D_fake 0.001220
[415/5000][115/535][42540] Loss_D: -0.028154 Loss_G: 0.022117 Loss_D_real: -0.023727 Loss_D_fake 0.004427
[415/5000][120/535][42541] Loss_D: -0.027752 Loss_G: 0.007382 Loss_D_real: -0.014298 Loss_D_fake 0.013454
[415/5000][125/535][42542] Loss_D: -0.027983 Loss_G: 0.019813 Loss_D_real: -0.028390 Loss_D_fake -0.000408
[415/5000][130/535][42543] Loss_D: -0.028997 Loss_G: 0.013664 Loss_D_real: -0.020776 Loss_D_fake 0.008221
[415/5000][135/535][42544] Loss_D: -0.027838 Loss_G: 0.000974 Loss_D_real: -0.011811 Loss_D_fake 0.016027
[415/5000][140/535][42545] Loss_D: -0.027349 Loss_G: 0.016689 Loss_D_real: -0.024341 Loss_D_fake 0.003008
[415/5000][145/535][42546] Loss_D: -0.029181 Loss_G: -0.002721 Loss_D_real: -0.004064 Loss_D_fake 0.025117
[415/5000][150/535][42547] Loss_D: -0.027401 Loss_G: 0.022581 Loss_D_real: -0.029538 Loss_D_fake -0.002137
[415/5000][155/535][42548] Loss_D: -0.028605 Loss_G: -0.004170 Loss_D_real: -0.019725 Loss_D_fake 0.008880
[415/5000][160/535][42549] Loss_D: -0.027178 Loss_G: 0.027188 Loss_D_real: -0.029814 Loss_D_fake -0.002635
[415/5000][165/535][42550] Loss_D: -0.028837 Loss_G: 0.005333 Loss_D_real: -0.008875 Loss_D_fake 0.019962
[415/5000][170/535][42551] Loss_D: -0.027882 Loss_G: 0.019688 Loss_D_real: -0.022061 Loss_D_fake 0.005821
[415/5000][175/535][42552] Loss_D: -0.029171 Loss_G: 0.025288 Loss_D_real: -0.027460 Loss_D_fake 0.001710
[415/5000][180/535][42553] Loss_D: -0.029194 Loss_G: 0.010748 Loss_D_real: -0.018485 Loss_D_fake 0.010709
[415/5000][185/535][42554] Loss_D: -0.028508 Loss_G: -0.002858 Loss_D_real: -0.000060 Loss_D_fake 0.028448
[415/5000][190/535][42555] Loss_D: -0.028472 Loss_G: 0.002836 Loss_D_real: -0.003401 Loss_D_fake 0.025071
[415/5000][195/535][42556] Loss_D: -0.029556 Loss_G: 0.002915 Loss_D_real: -0.016179 Loss_D_fake 0.013377
[415/5000][200/535][42557] Loss_D: -0.028849 Loss_G: -0.001232 Loss_D_real: -0.006031 Loss_D_fake 0.022818
[415/5000][205/535][42558] Loss_D: -0.027828 Loss_G: -0.004835 Loss_D_real: -0.007601 Loss_D_fake 0.020226
[415/5000][210/535][42559] Loss_D: -0.027906 Loss_G: 0.027866 Loss_D_real: -0.023654 Loss_D_fake 0.004251
[415/5000][215/535][42560] Loss_D: -0.027673 Loss_G: 0.002961 Loss_D_real: -0.003340 Loss_D_fake 0.024334
[415/5000][220/535][42561] Loss_D: -0.027283 Loss_G: 0.027814 Loss_D_real: -0.032016 Loss_D_fake -0.004733
[415/5000][225/535][42562] Loss_D: -0.029335 Loss_G: 0.008198 Loss_D_real: -0.013563 Loss_D_fake 0.015772
[415/5000][230/535][42563] Loss_D: -0.027985 Loss_G: 0.023164 Loss_D_real: -0.016503 Loss_D_fake 0.011483
[415/5000][235/535][42564] Loss_D: -0.029751 Loss_G: 0.001407 Loss_D_real: -0.016589 Loss_D_fake 0.013162
[415/5000][240/535][42565] Loss_D: -0.029023 Loss_G: 0.014353 Loss_D_real: -0.019045 Loss_D_fake 0.009977
[415/5000][245/535][42566] Loss_D: -0.029220 Loss_G: 0.029011 Loss_D_real: -0.018556 Loss_D_fake 0.010665
[415/5000][250/535][42567] Loss_D: -0.028551 Loss_G: 0.013222 Loss_D_real: -0.014571 Loss_D_fake 0.013980
[415/5000][255/535][42568] Loss_D: -0.028137 Loss_G: 0.024810 Loss_D_real: -0.030358 Loss_D_fake -0.002222
[415/5000][260/535][42569] Loss_D: -0.030103 Loss_G: 0.013876 Loss_D_real: -0.020998 Loss_D_fake 0.009105
[415/5000][265/535][42570] Loss_D: -0.029319 Loss_G: 0.008850 Loss_D_real: -0.021083 Loss_D_fake 0.008236
[415/5000][270/535][42571] Loss_D: -0.029679 Loss_G: 0.030392 Loss_D_real: -0.034179 Loss_D_fake -0.004500
[415/5000][275/535][42572] Loss_D: -0.028714 Loss_G: -0.001013 Loss_D_real: -0.007726 Loss_D_fake 0.020988
[415/5000][280/535][42573] Loss_D: -0.028605 Loss_G: 0.034855 Loss_D_real: -0.032280 Loss_D_fake -0.003676
[415/5000][285/535][42574] Loss_D: -0.027767 Loss_G: -0.006252 Loss_D_real: -0.002172 Loss_D_fake 0.025594
[415/5000][290/535][42575] Loss_D: -0.028061 Loss_G: 0.020356 Loss_D_real: -0.021699 Loss_D_fake 0.006362
[415/5000][295/535][42576] Loss_D: -0.027142 Loss_G: 0.022162 Loss_D_real: -0.036875 Loss_D_fake -0.009733
[415/5000][300/535][42577] Loss_D: -0.030198 Loss_G: 0.028587 Loss_D_real: -0.020106 Loss_D_fake 0.010092
[415/5000][305/535][42578] Loss_D: -0.029416 Loss_G: 0.011988 Loss_D_real: -0.019828 Loss_D_fake 0.009588
[415/5000][310/535][42579] Loss_D: -0.028320 Loss_G: 0.021897 Loss_D_real: -0.025372 Loss_D_fake 0.002948
[415/5000][315/535][42580] Loss_D: -0.029025 Loss_G: 0.007954 Loss_D_real: -0.007300 Loss_D_fake 0.021725
[415/5000][320/535][42581] Loss_D: -0.027227 Loss_G: -0.008455 Loss_D_real: -0.002304 Loss_D_fake 0.024923
[415/5000][325/535][42582] Loss_D: -0.028297 Loss_G: 0.031500 Loss_D_real: -0.028957 Loss_D_fake -0.000660
[415/5000][330/535][42583] Loss_D: -0.029220 Loss_G: 0.007345 Loss_D_real: -0.011642 Loss_D_fake 0.017578
[415/5000][335/535][42584] Loss_D: -0.029632 Loss_G: 0.027112 Loss_D_real: -0.035985 Loss_D_fake -0.006353
[415/5000][340/535][42585] Loss_D: -0.028901 Loss_G: 0.041781 Loss_D_real: -0.023896 Loss_D_fake 0.005004
[415/5000][345/535][42586] Loss_D: -0.027634 Loss_G: 0.017018 Loss_D_real: -0.016014 Loss_D_fake 0.011620
[415/5000][350/535][42587] Loss_D: -0.028824 Loss_G: 0.007604 Loss_D_real: -0.008652 Loss_D_fake 0.020172
[415/5000][355/535][42588] Loss_D: -0.028867 Loss_G: 0.012900 Loss_D_real: -0.025917 Loss_D_fake 0.002951
[415/5000][360/535][42589] Loss_D: -0.029387 Loss_G: 0.010714 Loss_D_real: -0.015909 Loss_D_fake 0.013477
[415/5000][365/535][42590] Loss_D: -0.027442 Loss_G: 0.036363 Loss_D_real: -0.038783 Loss_D_fake -0.011341
[415/5000][370/535][42591] Loss_D: -0.028635 Loss_G: 0.010789 Loss_D_real: -0.013457 Loss_D_fake 0.015179
[415/5000][375/535][42592] Loss_D: -0.028889 Loss_G: 0.006831 Loss_D_real: -0.014722 Loss_D_fake 0.014167
[415/5000][380/535][42593] Loss_D: -0.029675 Loss_G: 0.033598 Loss_D_real: -0.018582 Loss_D_fake 0.011092
[415/5000][385/535][42594] Loss_D: -0.027408 Loss_G: 0.009952 Loss_D_real: -0.012968 Loss_D_fake 0.014440
[415/5000][390/535][42595] Loss_D: -0.027790 Loss_G: -0.003685 Loss_D_real: 0.006734 Loss_D_fake 0.034524
[415/5000][395/535][42596] Loss_D: -0.027820 Loss_G: 0.030709 Loss_D_real: -0.038185 Loss_D_fake -0.010364
[415/5000][400/535][42597] Loss_D: -0.028624 Loss_G: 0.020207 Loss_D_real: -0.017661 Loss_D_fake 0.010963
[415/5000][405/535][42598] Loss_D: -0.029936 Loss_G: 0.012983 Loss_D_real: -0.018761 Loss_D_fake 0.011175
[415/5000][410/535][42599] Loss_D: -0.028188 Loss_G: 0.023599 Loss_D_real: -0.026845 Loss_D_fake 0.001343
[415/5000][415/535][42600] Loss_D: -0.028862 Loss_G: 0.020235 Loss_D_real: -0.027303 Loss_D_fake 0.001559
[415/5000][420/535][42601] Loss_D: -0.027857 Loss_G: 0.018560 Loss_D_real: -0.019512 Loss_D_fake 0.008345
[415/5000][425/535][42602] Loss_D: -0.028660 Loss_G: 0.002205 Loss_D_real: -0.004388 Loss_D_fake 0.024272
[415/5000][430/535][42603] Loss_D: -0.027779 Loss_G: 0.007006 Loss_D_real: -0.024463 Loss_D_fake 0.003316
[415/5000][435/535][42604] Loss_D: -0.028991 Loss_G: 0.012966 Loss_D_real: -0.017009 Loss_D_fake 0.011982
[415/5000][440/535][42605] Loss_D: -0.029821 Loss_G: 0.020324 Loss_D_real: -0.027417 Loss_D_fake 0.002404
[415/5000][445/535][42606] Loss_D: -0.029364 Loss_G: 0.025782 Loss_D_real: -0.017453 Loss_D_fake 0.011911
[415/5000][450/535][42607] Loss_D: -0.027236 Loss_G: 0.024286 Loss_D_real: -0.026375 Loss_D_fake 0.000861
[415/5000][455/535][42608] Loss_D: -0.029274 Loss_G: -0.004494 Loss_D_real: -0.014609 Loss_D_fake 0.014666
[415/5000][460/535][42609] Loss_D: -0.029214 Loss_G: 0.033740 Loss_D_real: -0.024811 Loss_D_fake 0.004403
[415/5000][465/535][42610] Loss_D: -0.028377 Loss_G: 0.011169 Loss_D_real: -0.017325 Loss_D_fake 0.011051
[415/5000][470/535][42611] Loss_D: -0.028971 Loss_G: 0.002124 Loss_D_real: -0.004237 Loss_D_fake 0.024734
[415/5000][475/535][42612] Loss_D: -0.027321 Loss_G: 0.039743 Loss_D_real: -0.037285 Loss_D_fake -0.009965
[415/5000][480/535][42613] Loss_D: -0.028054 Loss_G: -0.013038 Loss_D_real: 0.000781 Loss_D_fake 0.028835
[415/5000][485/535][42614] Loss_D: -0.028521 Loss_G: 0.013113 Loss_D_real: -0.021025 Loss_D_fake 0.007496
[415/5000][490/535][42615] Loss_D: -0.028883 Loss_G: 0.010833 Loss_D_real: -0.007178 Loss_D_fake 0.021705
[415/5000][495/535][42616] Loss_D: -0.026645 Loss_G: 0.023399 Loss_D_real: -0.024214 Loss_D_fake 0.002430
[415/5000][500/535][42617] Loss_D: -0.026750 Loss_G: -0.013286 Loss_D_real: -0.002592 Loss_D_fake 0.024158
[415/5000][505/535][42618] Loss_D: -0.028914 Loss_G: 0.001018 Loss_D_real: -0.009674 Loss_D_fake 0.019240
[415/5000][510/535][42619] Loss_D: -0.027874 Loss_G: -0.001711 Loss_D_real: -0.013055 Loss_D_fake 0.014819
[415/5000][515/535][42620] Loss_D: -0.027568 Loss_G: 0.004571 Loss_D_real: -0.012322 Loss_D_fake 0.015246
[415/5000][520/535][42621] Loss_D: -0.028626 Loss_G: 0.004059 Loss_D_real: -0.017598 Loss_D_fake 0.011029
[415/5000][525/535][42622] Loss_D: -0.027737 Loss_G: 0.030037 Loss_D_real: -0.023152 Loss_D_fake 0.004585
[415/5000][530/535][42623] Loss_D: -0.028279 Loss_G: -0.005851 Loss_D_real: -0.004614 Loss_D_fake 0.023666
[415/5000][535/535][42624] Loss_D: -0.026203 Loss_G: 0.031055 Loss_D_real: -0.030202 Loss_D_fake -0.003999
[416/5000][5/535][42625] Loss_D: -0.027557 Loss_G: 0.002980 Loss_D_real: -0.021157 Loss_D_fake 0.006400
[416/5000][10/535][42626] Loss_D: -0.029079 Loss_G: 0.018217 Loss_D_real: -0.015735 Loss_D_fake 0.013345
[416/5000][15/535][42627] Loss_D: -0.028487 Loss_G: 0.020005 Loss_D_real: -0.029509 Loss_D_fake -0.001022
[416/5000][20/535][42628] Loss_D: -0.028652 Loss_G: 0.008520 Loss_D_real: -0.020618 Loss_D_fake 0.008033
[416/5000][25/535][42629] Loss_D: -0.028512 Loss_G: 0.004755 Loss_D_real: -0.008527 Loss_D_fake 0.019985
[416/5000][30/535][42630] Loss_D: -0.027806 Loss_G: 0.003627 Loss_D_real: -0.014354 Loss_D_fake 0.013452
[416/5000][35/535][42631] Loss_D: -0.027159 Loss_G: 0.008284 Loss_D_real: -0.022583 Loss_D_fake 0.004577
[416/5000][40/535][42632] Loss_D: -0.027088 Loss_G: 0.042002 Loss_D_real: -0.041860 Loss_D_fake -0.014771
[416/5000][45/535][42633] Loss_D: -0.028818 Loss_G: -0.005293 Loss_D_real: -0.005217 Loss_D_fake 0.023601
[416/5000][50/535][42634] Loss_D: -0.028292 Loss_G: 0.017799 Loss_D_real: -0.029882 Loss_D_fake -0.001590
[416/5000][55/535][42635] Loss_D: -0.028153 Loss_G: 0.012726 Loss_D_real: -0.015675 Loss_D_fake 0.012478
[416/5000][60/535][42636] Loss_D: -0.028245 Loss_G: 0.023640 Loss_D_real: -0.021231 Loss_D_fake 0.007014
[416/5000][65/535][42637] Loss_D: -0.027721 Loss_G: 0.014638 Loss_D_real: -0.019615 Loss_D_fake 0.008106
[416/5000][70/535][42638] Loss_D: -0.028929 Loss_G: 0.029662 Loss_D_real: -0.027460 Loss_D_fake 0.001468
[416/5000][75/535][42639] Loss_D: -0.029947 Loss_G: 0.018443 Loss_D_real: -0.013978 Loss_D_fake 0.015969
[416/5000][80/535][42640] Loss_D: -0.028542 Loss_G: 0.020601 Loss_D_real: -0.020898 Loss_D_fake 0.007644
[416/5000][85/535][42641] Loss_D: -0.027613 Loss_G: -0.001384 Loss_D_real: -0.000201 Loss_D_fake 0.027412
[416/5000][90/535][42642] Loss_D: -0.027477 Loss_G: 0.023489 Loss_D_real: -0.030336 Loss_D_fake -0.002858
[416/5000][95/535][42643] Loss_D: -0.027614 Loss_G: 0.025004 Loss_D_real: -0.027866 Loss_D_fake -0.000253
[416/5000][100/535][42644] Loss_D: -0.029570 Loss_G: 0.015796 Loss_D_real: -0.024656 Loss_D_fake 0.004914
[416/5000][105/535][42645] Loss_D: -0.029154 Loss_G: 0.007379 Loss_D_real: -0.015992 Loss_D_fake 0.013162
[416/5000][110/535][42646] Loss_D: -0.027739 Loss_G: 0.027926 Loss_D_real: -0.024783 Loss_D_fake 0.002956
[416/5000][115/535][42647] Loss_D: -0.029344 Loss_G: 0.019564 Loss_D_real: -0.024562 Loss_D_fake 0.004782
[416/5000][120/535][42648] Loss_D: -0.029503 Loss_G: 0.035954 Loss_D_real: -0.036443 Loss_D_fake -0.006939
[416/5000][125/535][42649] Loss_D: -0.029229 Loss_G: -0.020154 Loss_D_real: 0.002414 Loss_D_fake 0.031643
[416/5000][130/535][42650] Loss_D: -0.028882 Loss_G: 0.016489 Loss_D_real: -0.017197 Loss_D_fake 0.011686
[416/5000][135/535][42651] Loss_D: -0.029911 Loss_G: 0.014606 Loss_D_real: -0.018911 Loss_D_fake 0.010999
[416/5000][140/535][42652] Loss_D: -0.029295 Loss_G: 0.022120 Loss_D_real: -0.028234 Loss_D_fake 0.001062
[416/5000][145/535][42653] Loss_D: -0.029732 Loss_G: 0.009012 Loss_D_real: -0.018735 Loss_D_fake 0.010998
[416/5000][150/535][42654] Loss_D: -0.027587 Loss_G: 0.023093 Loss_D_real: -0.025898 Loss_D_fake 0.001689
[416/5000][155/535][42655] Loss_D: -0.028383 Loss_G: -0.008424 Loss_D_real: -0.006345 Loss_D_fake 0.022038
[416/5000][160/535][42656] Loss_D: -0.029425 Loss_G: 0.013977 Loss_D_real: -0.022158 Loss_D_fake 0.007267
[416/5000][165/535][42657] Loss_D: -0.027562 Loss_G: 0.023776 Loss_D_real: -0.018120 Loss_D_fake 0.009442
[416/5000][170/535][42658] Loss_D: -0.027057 Loss_G: -0.017607 Loss_D_real: -0.001459 Loss_D_fake 0.025598
[416/5000][175/535][42659] Loss_D: -0.026629 Loss_G: 0.027041 Loss_D_real: -0.023111 Loss_D_fake 0.003519
[416/5000][180/535][42660] Loss_D: -0.028584 Loss_G: 0.003207 Loss_D_real: -0.004574 Loss_D_fake 0.024010
[416/5000][185/535][42661] Loss_D: -0.028254 Loss_G: 0.020312 Loss_D_real: -0.020123 Loss_D_fake 0.008130
[416/5000][190/535][42662] Loss_D: -0.028278 Loss_G: 0.032897 Loss_D_real: -0.020995 Loss_D_fake 0.007283
[416/5000][195/535][42663] Loss_D: -0.028713 Loss_G: 0.000196 Loss_D_real: -0.007846 Loss_D_fake 0.020866
[416/5000][200/535][42664] Loss_D: -0.027289 Loss_G: 0.033456 Loss_D_real: -0.031166 Loss_D_fake -0.003877
[416/5000][205/535][42665] Loss_D: -0.027813 Loss_G: 0.010994 Loss_D_real: -0.010403 Loss_D_fake 0.017410
[416/5000][210/535][42666] Loss_D: -0.028301 Loss_G: 0.028382 Loss_D_real: -0.017671 Loss_D_fake 0.010629
[416/5000][215/535][42667] Loss_D: -0.027591 Loss_G: 0.000964 Loss_D_real: -0.008162 Loss_D_fake 0.019429
[416/5000][220/535][42668] Loss_D: -0.028664 Loss_G: 0.007605 Loss_D_real: -0.020453 Loss_D_fake 0.008210
[416/5000][225/535][42669] Loss_D: -0.027080 Loss_G: 0.031687 Loss_D_real: -0.032807 Loss_D_fake -0.005727
[416/5000][230/535][42670] Loss_D: -0.028482 Loss_G: 0.001122 Loss_D_real: 0.000785 Loss_D_fake 0.029267
[416/5000][235/535][42671] Loss_D: -0.028567 Loss_G: 0.026729 Loss_D_real: -0.030080 Loss_D_fake -0.001513
[416/5000][240/535][42672] Loss_D: -0.029557 Loss_G: 0.034980 Loss_D_real: -0.026166 Loss_D_fake 0.003391
[416/5000][245/535][42673] Loss_D: -0.025320 Loss_G: 0.036076 Loss_D_real: -0.041608 Loss_D_fake -0.016288
[416/5000][250/535][42674] Loss_D: -0.028956 Loss_G: -0.005709 Loss_D_real: -0.003651 Loss_D_fake 0.025305
[416/5000][255/535][42675] Loss_D: -0.028608 Loss_G: 0.011051 Loss_D_real: -0.016801 Loss_D_fake 0.011807
[416/5000][260/535][42676] Loss_D: -0.029873 Loss_G: -0.006626 Loss_D_real: -0.004660 Loss_D_fake 0.025213
[416/5000][265/535][42677] Loss_D: -0.027718 Loss_G: 0.014017 Loss_D_real: -0.013434 Loss_D_fake 0.014284
[416/5000][270/535][42678] Loss_D: -0.029309 Loss_G: 0.004663 Loss_D_real: -0.016562 Loss_D_fake 0.012747
[416/5000][275/535][42679] Loss_D: -0.029390 Loss_G: 0.029393 Loss_D_real: -0.030600 Loss_D_fake -0.001210
[416/5000][280/535][42680] Loss_D: -0.029730 Loss_G: 0.017320 Loss_D_real: -0.016828 Loss_D_fake 0.012902
[416/5000][285/535][42681] Loss_D: -0.026256 Loss_G: -0.015356 Loss_D_real: -0.000965 Loss_D_fake 0.025291
[416/5000][290/535][42682] Loss_D: -0.027606 Loss_G: 0.009009 Loss_D_real: -0.005557 Loss_D_fake 0.022048
[416/5000][295/535][42683] Loss_D: -0.026757 Loss_G: 0.019666 Loss_D_real: -0.027400 Loss_D_fake -0.000643
[416/5000][300/535][42684] Loss_D: -0.026992 Loss_G: -0.007620 Loss_D_real: 0.005001 Loss_D_fake 0.031993
[416/5000][305/535][42685] Loss_D: -0.026877 Loss_G: 0.021742 Loss_D_real: -0.025320 Loss_D_fake 0.001557
[416/5000][310/535][42686] Loss_D: -0.026675 Loss_G: -0.010678 Loss_D_real: -0.004221 Loss_D_fake 0.022453
[416/5000][315/535][42687] Loss_D: -0.027580 Loss_G: 0.030330 Loss_D_real: -0.028270 Loss_D_fake -0.000690
[416/5000][320/535][42688] Loss_D: -0.029341 Loss_G: 0.023143 Loss_D_real: -0.026487 Loss_D_fake 0.002854
[416/5000][325/535][42689] Loss_D: -0.028535 Loss_G: 0.007746 Loss_D_real: -0.012449 Loss_D_fake 0.016086
[416/5000][330/535][42690] Loss_D: -0.028895 Loss_G: 0.007076 Loss_D_real: -0.009284 Loss_D_fake 0.019610
[416/5000][335/535][42691] Loss_D: -0.027977 Loss_G: 0.010580 Loss_D_real: -0.014615 Loss_D_fake 0.013362
[416/5000][340/535][42692] Loss_D: -0.027347 Loss_G: -0.006735 Loss_D_real: -0.004147 Loss_D_fake 0.023200
[416/5000][345/535][42693] Loss_D: -0.028875 Loss_G: 0.019774 Loss_D_real: -0.013146 Loss_D_fake 0.015729
[416/5000][350/535][42694] Loss_D: -0.027476 Loss_G: 0.006609 Loss_D_real: -0.010833 Loss_D_fake 0.016643
[416/5000][355/535][42695] Loss_D: -0.027703 Loss_G: 0.020732 Loss_D_real: -0.028264 Loss_D_fake -0.000561
[416/5000][360/535][42696] Loss_D: -0.028398 Loss_G: -0.000810 Loss_D_real: -0.006469 Loss_D_fake 0.021930
[416/5000][365/535][42697] Loss_D: -0.028875 Loss_G: 0.019123 Loss_D_real: -0.014397 Loss_D_fake 0.014478
[416/5000][370/535][42698] Loss_D: -0.027402 Loss_G: 0.011642 Loss_D_real: -0.009894 Loss_D_fake 0.017508
[416/5000][375/535][42699] Loss_D: -0.028559 Loss_G: 0.040494 Loss_D_real: -0.037556 Loss_D_fake -0.008997
[416/5000][380/535][42700] Loss_D: -0.028101 Loss_G: 0.013799 Loss_D_real: -0.014331 Loss_D_fake 0.013770
[416/5000][385/535][42701] Loss_D: -0.029196 Loss_G: 0.013225 Loss_D_real: -0.026657 Loss_D_fake 0.002540
[416/5000][390/535][42702] Loss_D: -0.028330 Loss_G: -0.004769 Loss_D_real: -0.003655 Loss_D_fake 0.024675
[416/5000][395/535][42703] Loss_D: -0.027684 Loss_G: 0.030901 Loss_D_real: -0.028260 Loss_D_fake -0.000576
[416/5000][400/535][42704] Loss_D: -0.027737 Loss_G: -0.000036 Loss_D_real: -0.014583 Loss_D_fake 0.013154
[416/5000][405/535][42705] Loss_D: -0.029859 Loss_G: 0.008481 Loss_D_real: -0.010798 Loss_D_fake 0.019061
[416/5000][410/535][42706] Loss_D: -0.027457 Loss_G: 0.022225 Loss_D_real: -0.030937 Loss_D_fake -0.003479
[416/5000][415/535][42707] Loss_D: -0.027812 Loss_G: 0.028376 Loss_D_real: -0.030916 Loss_D_fake -0.003104
[416/5000][420/535][42708] Loss_D: -0.029753 Loss_G: 0.015112 Loss_D_real: -0.011337 Loss_D_fake 0.018416
[416/5000][425/535][42709] Loss_D: -0.029017 Loss_G: -0.008457 Loss_D_real: -0.005560 Loss_D_fake 0.023457
[416/5000][430/535][42710] Loss_D: -0.028533 Loss_G: 0.024919 Loss_D_real: -0.018244 Loss_D_fake 0.010289
[416/5000][435/535][42711] Loss_D: -0.029572 Loss_G: 0.028118 Loss_D_real: -0.033397 Loss_D_fake -0.003826
[416/5000][440/535][42712] Loss_D: -0.030036 Loss_G: -0.000814 Loss_D_real: -0.009903 Loss_D_fake 0.020133
[416/5000][445/535][42713] Loss_D: -0.029234 Loss_G: 0.020680 Loss_D_real: -0.024283 Loss_D_fake 0.004951
[416/5000][450/535][42714] Loss_D: -0.028081 Loss_G: 0.027623 Loss_D_real: -0.031523 Loss_D_fake -0.003442
[416/5000][455/535][42715] Loss_D: -0.028674 Loss_G: 0.008557 Loss_D_real: -0.018182 Loss_D_fake 0.010492
[416/5000][460/535][42716] Loss_D: -0.029665 Loss_G: 0.004871 Loss_D_real: -0.013355 Loss_D_fake 0.016310
[416/5000][465/535][42717] Loss_D: -0.027005 Loss_G: 0.004878 Loss_D_real: -0.011800 Loss_D_fake 0.015205
[416/5000][470/535][42718] Loss_D: -0.027958 Loss_G: 0.009180 Loss_D_real: -0.023974 Loss_D_fake 0.003984
[416/5000][475/535][42719] Loss_D: -0.028054 Loss_G: 0.035767 Loss_D_real: -0.034262 Loss_D_fake -0.006208
[416/5000][480/535][42720] Loss_D: -0.028239 Loss_G: 0.011544 Loss_D_real: -0.017975 Loss_D_fake 0.010264
[416/5000][485/535][42721] Loss_D: -0.029211 Loss_G: 0.008437 Loss_D_real: -0.012109 Loss_D_fake 0.017102
[416/5000][490/535][42722] Loss_D: -0.027898 Loss_G: 0.030666 Loss_D_real: -0.022015 Loss_D_fake 0.005883
[416/5000][495/535][42723] Loss_D: -0.026920 Loss_G: 0.010340 Loss_D_real: -0.010326 Loss_D_fake 0.016595
[416/5000][500/535][42724] Loss_D: -0.029465 Loss_G: -0.003710 Loss_D_real: -0.006346 Loss_D_fake 0.023119
[416/5000][505/535][42725] Loss_D: -0.027929 Loss_G: 0.011754 Loss_D_real: -0.010378 Loss_D_fake 0.017551
[416/5000][510/535][42726] Loss_D: -0.029776 Loss_G: 0.018726 Loss_D_real: -0.029351 Loss_D_fake 0.000426
[416/5000][515/535][42727] Loss_D: -0.029543 Loss_G: 0.028376 Loss_D_real: -0.027870 Loss_D_fake 0.001673
[416/5000][520/535][42728] Loss_D: -0.030239 Loss_G: -0.005346 Loss_D_real: 0.002624 Loss_D_fake 0.032863
[416/5000][525/535][42729] Loss_D: -0.028162 Loss_G: 0.013795 Loss_D_real: -0.022709 Loss_D_fake 0.005453
[416/5000][530/535][42730] Loss_D: -0.028682 Loss_G: 0.015772 Loss_D_real: -0.019368 Loss_D_fake 0.009314
[416/5000][535/535][42731] Loss_D: -0.028662 Loss_G: 0.004287 Loss_D_real: -0.018810 Loss_D_fake 0.009852
[417/5000][5/535][42732] Loss_D: -0.028134 Loss_G: -0.002616 Loss_D_real: 0.003389 Loss_D_fake 0.031523
[417/5000][10/535][42733] Loss_D: -0.027898 Loss_G: 0.002080 Loss_D_real: -0.011521 Loss_D_fake 0.016377
[417/5000][15/535][42734] Loss_D: -0.028120 Loss_G: 0.001875 Loss_D_real: -0.012577 Loss_D_fake 0.015543
[417/5000][20/535][42735] Loss_D: -0.028896 Loss_G: 0.009211 Loss_D_real: -0.015387 Loss_D_fake 0.013509
[417/5000][25/535][42736] Loss_D: -0.029153 Loss_G: 0.033273 Loss_D_real: -0.026181 Loss_D_fake 0.002973
[417/5000][30/535][42737] Loss_D: -0.028951 Loss_G: 0.000628 Loss_D_real: 0.008775 Loss_D_fake 0.037726
[417/5000][35/535][42738] Loss_D: -0.027968 Loss_G: 0.014220 Loss_D_real: -0.010515 Loss_D_fake 0.017453
[417/5000][40/535][42739] Loss_D: -0.028993 Loss_G: -0.003916 Loss_D_real: -0.012255 Loss_D_fake 0.016738
[417/5000][45/535][42740] Loss_D: -0.028776 Loss_G: 0.013083 Loss_D_real: -0.024270 Loss_D_fake 0.004506
[417/5000][50/535][42741] Loss_D: -0.028440 Loss_G: 0.021642 Loss_D_real: -0.010379 Loss_D_fake 0.018061
[417/5000][55/535][42742] Loss_D: -0.029260 Loss_G: 0.025060 Loss_D_real: -0.034885 Loss_D_fake -0.005625
[417/5000][60/535][42743] Loss_D: -0.030234 Loss_G: 0.017701 Loss_D_real: -0.014989 Loss_D_fake 0.015244
[417/5000][65/535][42744] Loss_D: -0.028600 Loss_G: 0.020979 Loss_D_real: -0.016632 Loss_D_fake 0.011968
[417/5000][70/535][42745] Loss_D: -0.028494 Loss_G: 0.009737 Loss_D_real: -0.012495 Loss_D_fake 0.015998
[417/5000][75/535][42746] Loss_D: -0.027756 Loss_G: 0.004206 Loss_D_real: -0.012122 Loss_D_fake 0.015634
[417/5000][80/535][42747] Loss_D: -0.028011 Loss_G: 0.021912 Loss_D_real: -0.023098 Loss_D_fake 0.004913
[417/5000][85/535][42748] Loss_D: -0.028580 Loss_G: 0.046356 Loss_D_real: -0.031860 Loss_D_fake -0.003280
[417/5000][90/535][42749] Loss_D: -0.029726 Loss_G: 0.010747 Loss_D_real: -0.010963 Loss_D_fake 0.018764
[417/5000][95/535][42750] Loss_D: -0.028135 Loss_G: 0.033305 Loss_D_real: -0.034089 Loss_D_fake -0.005955
[417/5000][100/535][42751] Loss_D: -0.027615 Loss_G: 0.006493 Loss_D_real: -0.014116 Loss_D_fake 0.013498
[417/5000][105/535][42752] Loss_D: -0.028616 Loss_G: 0.015513 Loss_D_real: -0.016922 Loss_D_fake 0.011694
[417/5000][110/535][42753] Loss_D: -0.026253 Loss_G: -0.016837 Loss_D_real: 0.007231 Loss_D_fake 0.033483
[417/5000][115/535][42754] Loss_D: -0.027653 Loss_G: 0.006074 Loss_D_real: -0.012437 Loss_D_fake 0.015215
[417/5000][120/535][42755] Loss_D: -0.028448 Loss_G: 0.037421 Loss_D_real: -0.033405 Loss_D_fake -0.004958
[417/5000][125/535][42756] Loss_D: -0.027179 Loss_G: -0.001125 Loss_D_real: -0.010339 Loss_D_fake 0.016840
[417/5000][130/535][42757] Loss_D: -0.027641 Loss_G: 0.004515 Loss_D_real: -0.018710 Loss_D_fake 0.008930
[417/5000][135/535][42758] Loss_D: -0.027826 Loss_G: 0.011338 Loss_D_real: -0.017762 Loss_D_fake 0.010064
[417/5000][140/535][42759] Loss_D: -0.028129 Loss_G: 0.014803 Loss_D_real: -0.026807 Loss_D_fake 0.001321
[417/5000][145/535][42760] Loss_D: -0.028522 Loss_G: 0.032816 Loss_D_real: -0.029063 Loss_D_fake -0.000540
[417/5000][150/535][42761] Loss_D: -0.029375 Loss_G: 0.034423 Loss_D_real: -0.033928 Loss_D_fake -0.004553
[417/5000][155/535][42762] Loss_D: -0.030012 Loss_G: 0.019729 Loss_D_real: -0.020216 Loss_D_fake 0.009796
[417/5000][160/535][42763] Loss_D: -0.029578 Loss_G: 0.014137 Loss_D_real: -0.018743 Loss_D_fake 0.010835
[417/5000][165/535][42764] Loss_D: -0.029418 Loss_G: 0.002448 Loss_D_real: -0.007654 Loss_D_fake 0.021764
[417/5000][170/535][42765] Loss_D: -0.028988 Loss_G: -0.010785 Loss_D_real: 0.007292 Loss_D_fake 0.036279
[417/5000][175/535][42766] Loss_D: -0.027117 Loss_G: 0.028505 Loss_D_real: -0.024731 Loss_D_fake 0.002386
[417/5000][180/535][42767] Loss_D: -0.027739 Loss_G: 0.004244 Loss_D_real: -0.009719 Loss_D_fake 0.018020
[417/5000][185/535][42768] Loss_D: -0.029840 Loss_G: 0.019411 Loss_D_real: -0.020384 Loss_D_fake 0.009456
[417/5000][190/535][42769] Loss_D: -0.031276 Loss_G: 0.014090 Loss_D_real: -0.019806 Loss_D_fake 0.011470
[417/5000][195/535][42770] Loss_D: -0.026987 Loss_G: 0.008102 Loss_D_real: -0.012721 Loss_D_fake 0.014266
[417/5000][200/535][42771] Loss_D: -0.027848 Loss_G: 0.016624 Loss_D_real: -0.015772 Loss_D_fake 0.012076
[417/5000][205/535][42772] Loss_D: -0.029775 Loss_G: 0.025373 Loss_D_real: -0.015474 Loss_D_fake 0.014301
[417/5000][210/535][42773] Loss_D: -0.028377 Loss_G: 0.024106 Loss_D_real: -0.023195 Loss_D_fake 0.005181
[417/5000][215/535][42774] Loss_D: -0.028189 Loss_G: 0.021384 Loss_D_real: -0.023033 Loss_D_fake 0.005156
[417/5000][220/535][42775] Loss_D: -0.028078 Loss_G: 0.002748 Loss_D_real: -0.017957 Loss_D_fake 0.010121
[417/5000][225/535][42776] Loss_D: -0.028634 Loss_G: 0.031443 Loss_D_real: -0.023877 Loss_D_fake 0.004757
[417/5000][230/535][42777] Loss_D: -0.027963 Loss_G: 0.010942 Loss_D_real: -0.005485 Loss_D_fake 0.022478
[417/5000][235/535][42778] Loss_D: -0.027780 Loss_G: -0.009579 Loss_D_real: -0.003108 Loss_D_fake 0.024672
[417/5000][240/535][42779] Loss_D: -0.027210 Loss_G: -0.006489 Loss_D_real: -0.004621 Loss_D_fake 0.022589
[417/5000][245/535][42780] Loss_D: -0.027468 Loss_G: 0.009301 Loss_D_real: -0.014696 Loss_D_fake 0.012773
[417/5000][250/535][42781] Loss_D: -0.026498 Loss_G: 0.039828 Loss_D_real: -0.036992 Loss_D_fake -0.010494
[417/5000][255/535][42782] Loss_D: -0.028762 Loss_G: 0.024234 Loss_D_real: -0.023092 Loss_D_fake 0.005670
[417/5000][260/535][42783] Loss_D: -0.028688 Loss_G: -0.000557 Loss_D_real: -0.006457 Loss_D_fake 0.022230
[417/5000][265/535][42784] Loss_D: -0.026886 Loss_G: 0.030890 Loss_D_real: -0.036238 Loss_D_fake -0.009352
[417/5000][270/535][42785] Loss_D: -0.028426 Loss_G: 0.014527 Loss_D_real: -0.016809 Loss_D_fake 0.011617
[417/5000][275/535][42786] Loss_D: -0.027788 Loss_G: 0.028932 Loss_D_real: -0.025531 Loss_D_fake 0.002257
[417/5000][280/535][42787] Loss_D: -0.028316 Loss_G: -0.008642 Loss_D_real: -0.009107 Loss_D_fake 0.019209
[417/5000][285/535][42788] Loss_D: -0.028612 Loss_G: 0.027089 Loss_D_real: -0.024893 Loss_D_fake 0.003719
[417/5000][290/535][42789] Loss_D: -0.028191 Loss_G: 0.019789 Loss_D_real: -0.017567 Loss_D_fake 0.010624
[417/5000][295/535][42790] Loss_D: -0.027628 Loss_G: -0.001339 Loss_D_real: -0.012382 Loss_D_fake 0.015246
[417/5000][300/535][42791] Loss_D: -0.029407 Loss_G: 0.025666 Loss_D_real: -0.026790 Loss_D_fake 0.002617
[417/5000][305/535][42792] Loss_D: -0.027957 Loss_G: -0.004152 Loss_D_real: 0.002766 Loss_D_fake 0.030724
[417/5000][310/535][42793] Loss_D: -0.028210 Loss_G: -0.006137 Loss_D_real: -0.010247 Loss_D_fake 0.017963
[417/5000][315/535][42794] Loss_D: -0.027986 Loss_G: 0.031862 Loss_D_real: -0.027381 Loss_D_fake 0.000606
[417/5000][320/535][42795] Loss_D: -0.029403 Loss_G: 0.015235 Loss_D_real: -0.019101 Loss_D_fake 0.010303
[417/5000][325/535][42796] Loss_D: -0.029139 Loss_G: 0.014304 Loss_D_real: -0.013241 Loss_D_fake 0.015898
[417/5000][330/535][42797] Loss_D: -0.028671 Loss_G: 0.033420 Loss_D_real: -0.032309 Loss_D_fake -0.003637
[417/5000][335/535][42798] Loss_D: -0.028217 Loss_G: 0.007054 Loss_D_real: -0.004964 Loss_D_fake 0.023253
[417/5000][340/535][42799] Loss_D: -0.028558 Loss_G: 0.016470 Loss_D_real: -0.015702 Loss_D_fake 0.012856
[417/5000][345/535][42800] Loss_D: -0.028421 Loss_G: 0.021131 Loss_D_real: -0.030130 Loss_D_fake -0.001709
[417/5000][350/535][42801] Loss_D: -0.029070 Loss_G: 0.015724 Loss_D_real: -0.021232 Loss_D_fake 0.007838
[417/5000][355/535][42802] Loss_D: -0.027496 Loss_G: 0.031976 Loss_D_real: -0.032136 Loss_D_fake -0.004640
[417/5000][360/535][42803] Loss_D: -0.029265 Loss_G: 0.010794 Loss_D_real: -0.014636 Loss_D_fake 0.014629
[417/5000][365/535][42804] Loss_D: -0.026595 Loss_G: 0.013260 Loss_D_real: -0.014916 Loss_D_fake 0.011679
[417/5000][370/535][42805] Loss_D: -0.027932 Loss_G: 0.026859 Loss_D_real: -0.029648 Loss_D_fake -0.001716
[417/5000][375/535][42806] Loss_D: -0.027735 Loss_G: 0.021679 Loss_D_real: -0.025286 Loss_D_fake 0.002449
[417/5000][380/535][42807] Loss_D: -0.027897 Loss_G: 0.033406 Loss_D_real: -0.039927 Loss_D_fake -0.012030
[417/5000][385/535][42808] Loss_D: -0.028326 Loss_G: 0.010774 Loss_D_real: -0.017319 Loss_D_fake 0.011007
[417/5000][390/535][42809] Loss_D: -0.028583 Loss_G: 0.029368 Loss_D_real: -0.033473 Loss_D_fake -0.004889
[417/5000][395/535][42810] Loss_D: -0.028492 Loss_G: 0.003745 Loss_D_real: -0.008287 Loss_D_fake 0.020205
[417/5000][400/535][42811] Loss_D: -0.028631 Loss_G: 0.022482 Loss_D_real: -0.031818 Loss_D_fake -0.003187
[417/5000][405/535][42812] Loss_D: -0.027046 Loss_G: 0.009174 Loss_D_real: -0.010713 Loss_D_fake 0.016333
[417/5000][410/535][42813] Loss_D: -0.028180 Loss_G: 0.040931 Loss_D_real: -0.030716 Loss_D_fake -0.002536
[417/5000][415/535][42814] Loss_D: -0.027682 Loss_G: -0.010104 Loss_D_real: -0.003296 Loss_D_fake 0.024385
[417/5000][420/535][42815] Loss_D: -0.028313 Loss_G: 0.023022 Loss_D_real: -0.021747 Loss_D_fake 0.006566
[417/5000][425/535][42816] Loss_D: -0.028586 Loss_G: 0.042356 Loss_D_real: -0.033787 Loss_D_fake -0.005202
[417/5000][430/535][42817] Loss_D: -0.029689 Loss_G: -0.006064 Loss_D_real: -0.015111 Loss_D_fake 0.014577
[417/5000][435/535][42818] Loss_D: -0.027147 Loss_G: 0.005991 Loss_D_real: -0.028334 Loss_D_fake -0.001187
[417/5000][440/535][42819] Loss_D: -0.028769 Loss_G: 0.012078 Loss_D_real: -0.022932 Loss_D_fake 0.005838
[417/5000][445/535][42820] Loss_D: -0.027601 Loss_G: 0.044334 Loss_D_real: -0.030934 Loss_D_fake -0.003334
[417/5000][450/535][42821] Loss_D: -0.029047 Loss_G: -0.001921 Loss_D_real: -0.014095 Loss_D_fake 0.014952
[417/5000][455/535][42822] Loss_D: -0.028983 Loss_G: 0.013556 Loss_D_real: -0.020783 Loss_D_fake 0.008200
[417/5000][460/535][42823] Loss_D: -0.029401 Loss_G: 0.031506 Loss_D_real: -0.030595 Loss_D_fake -0.001194
[417/5000][465/535][42824] Loss_D: -0.028750 Loss_G: 0.022396 Loss_D_real: -0.016022 Loss_D_fake 0.012728
[417/5000][470/535][42825] Loss_D: -0.027909 Loss_G: -0.017385 Loss_D_real: 0.001081 Loss_D_fake 0.028990
[417/5000][475/535][42826] Loss_D: -0.027213 Loss_G: 0.014559 Loss_D_real: -0.020291 Loss_D_fake 0.006922
[417/5000][480/535][42827] Loss_D: -0.028275 Loss_G: -0.001897 Loss_D_real: -0.006475 Loss_D_fake 0.021801
[417/5000][485/535][42828] Loss_D: -0.028661 Loss_G: 0.032323 Loss_D_real: -0.025411 Loss_D_fake 0.003250
[417/5000][490/535][42829] Loss_D: -0.029288 Loss_G: 0.022690 Loss_D_real: -0.011167 Loss_D_fake 0.018121
[417/5000][495/535][42830] Loss_D: -0.028484 Loss_G: 0.025314 Loss_D_real: -0.023608 Loss_D_fake 0.004876
[417/5000][500/535][42831] Loss_D: -0.028676 Loss_G: 0.009152 Loss_D_real: -0.024146 Loss_D_fake 0.004531
[417/5000][505/535][42832] Loss_D: -0.029576 Loss_G: 0.031144 Loss_D_real: -0.031293 Loss_D_fake -0.001718
[417/5000][510/535][42833] Loss_D: -0.027317 Loss_G: -0.007773 Loss_D_real: -0.000778 Loss_D_fake 0.026538
[417/5000][515/535][42834] Loss_D: -0.026983 Loss_G: 0.035136 Loss_D_real: -0.030041 Loss_D_fake -0.003058
[417/5000][520/535][42835] Loss_D: -0.028997 Loss_G: 0.007791 Loss_D_real: -0.012954 Loss_D_fake 0.016043
[417/5000][525/535][42836] Loss_D: -0.028184 Loss_G: 0.028253 Loss_D_real: -0.020369 Loss_D_fake 0.007815
[417/5000][530/535][42837] Loss_D: -0.029322 Loss_G: 0.004633 Loss_D_real: -0.011859 Loss_D_fake 0.017463
[417/5000][535/535][42838] Loss_D: -0.028762 Loss_G: 0.028393 Loss_D_real: -0.027801 Loss_D_fake 0.000961
[418/5000][5/535][42839] Loss_D: -0.027852 Loss_G: 0.004816 Loss_D_real: -0.013981 Loss_D_fake 0.013872
[418/5000][10/535][42840] Loss_D: -0.028006 Loss_G: 0.011111 Loss_D_real: -0.016061 Loss_D_fake 0.011945
[418/5000][15/535][42841] Loss_D: -0.028980 Loss_G: 0.024503 Loss_D_real: -0.025705 Loss_D_fake 0.003275
[418/5000][20/535][42842] Loss_D: -0.028134 Loss_G: 0.015536 Loss_D_real: -0.019710 Loss_D_fake 0.008425
[418/5000][25/535][42843] Loss_D: -0.028956 Loss_G: 0.014702 Loss_D_real: -0.016699 Loss_D_fake 0.012257
[418/5000][30/535][42844] Loss_D: -0.026183 Loss_G: -0.007016 Loss_D_real: 0.004504 Loss_D_fake 0.030686
[418/5000][35/535][42845] Loss_D: -0.027754 Loss_G: 0.015235 Loss_D_real: -0.022788 Loss_D_fake 0.004966
[418/5000][40/535][42846] Loss_D: -0.026859 Loss_G: -0.001358 Loss_D_real: -0.000710 Loss_D_fake 0.026150
[418/5000][45/535][42847] Loss_D: -0.028864 Loss_G: 0.033203 Loss_D_real: -0.025852 Loss_D_fake 0.003012
[418/5000][50/535][42848] Loss_D: -0.028136 Loss_G: 0.011732 Loss_D_real: -0.015752 Loss_D_fake 0.012383
[418/5000][55/535][42849] Loss_D: -0.027956 Loss_G: 0.030319 Loss_D_real: -0.028201 Loss_D_fake -0.000245
[418/5000][60/535][42850] Loss_D: -0.027131 Loss_G: 0.014663 Loss_D_real: -0.009878 Loss_D_fake 0.017253
[418/5000][65/535][42851] Loss_D: -0.028799 Loss_G: -0.007121 Loss_D_real: -0.009632 Loss_D_fake 0.019168
[418/5000][70/535][42852] Loss_D: -0.028854 Loss_G: 0.008773 Loss_D_real: -0.026545 Loss_D_fake 0.002309
[418/5000][75/535][42853] Loss_D: -0.028973 Loss_G: 0.009010 Loss_D_real: -0.014013 Loss_D_fake 0.014959
[418/5000][80/535][42854] Loss_D: -0.027952 Loss_G: 0.022554 Loss_D_real: -0.026114 Loss_D_fake 0.001838
[418/5000][85/535][42855] Loss_D: -0.028858 Loss_G: 0.006457 Loss_D_real: -0.004594 Loss_D_fake 0.024264
[418/5000][90/535][42856] Loss_D: -0.029981 Loss_G: 0.030037 Loss_D_real: -0.022029 Loss_D_fake 0.007952
[418/5000][95/535][42857] Loss_D: -0.028161 Loss_G: -0.004226 Loss_D_real: -0.010138 Loss_D_fake 0.018023
[418/5000][100/535][42858] Loss_D: -0.028454 Loss_G: 0.023896 Loss_D_real: -0.020880 Loss_D_fake 0.007574
[418/5000][105/535][42859] Loss_D: -0.028137 Loss_G: 0.017664 Loss_D_real: -0.024309 Loss_D_fake 0.003827
[418/5000][110/535][42860] Loss_D: -0.028668 Loss_G: 0.013575 Loss_D_real: -0.016885 Loss_D_fake 0.011783
[418/5000][115/535][42861] Loss_D: -0.027785 Loss_G: 0.026995 Loss_D_real: -0.028631 Loss_D_fake -0.000846
[418/5000][120/535][42862] Loss_D: -0.026719 Loss_G: 0.029236 Loss_D_real: -0.027837 Loss_D_fake -0.001119
[418/5000][125/535][42863] Loss_D: -0.028535 Loss_G: 0.023383 Loss_D_real: -0.032154 Loss_D_fake -0.003618
[418/5000][130/535][42864] Loss_D: -0.028017 Loss_G: 0.000156 Loss_D_real: -0.013424 Loss_D_fake 0.014594
[418/5000][135/535][42865] Loss_D: -0.027120 Loss_G: 0.028948 Loss_D_real: -0.026211 Loss_D_fake 0.000909
[418/5000][140/535][42866] Loss_D: -0.029702 Loss_G: 0.010472 Loss_D_real: -0.022340 Loss_D_fake 0.007362
[418/5000][145/535][42867] Loss_D: -0.028233 Loss_G: -0.000752 Loss_D_real: -0.015450 Loss_D_fake 0.012782
[418/5000][150/535][42868] Loss_D: -0.027208 Loss_G: 0.035895 Loss_D_real: -0.039519 Loss_D_fake -0.012312
[418/5000][155/535][42869] Loss_D: -0.028760 Loss_G: 0.020264 Loss_D_real: -0.026110 Loss_D_fake 0.002649
[418/5000][160/535][42870] Loss_D: -0.028157 Loss_G: 0.023582 Loss_D_real: -0.028090 Loss_D_fake 0.000067
[418/5000][165/535][42871] Loss_D: -0.027956 Loss_G: 0.010978 Loss_D_real: -0.016332 Loss_D_fake 0.011625
[418/5000][170/535][42872] Loss_D: -0.027864 Loss_G: 0.009534 Loss_D_real: -0.013664 Loss_D_fake 0.014200
[418/5000][175/535][42873] Loss_D: -0.028924 Loss_G: 0.034601 Loss_D_real: -0.029013 Loss_D_fake -0.000089
[418/5000][180/535][42874] Loss_D: -0.027514 Loss_G: -0.004697 Loss_D_real: -0.011642 Loss_D_fake 0.015872
[418/5000][185/535][42875] Loss_D: -0.028026 Loss_G: 0.000969 Loss_D_real: -0.024344 Loss_D_fake 0.003682
[418/5000][190/535][42876] Loss_D: -0.027730 Loss_G: 0.029143 Loss_D_real: -0.036651 Loss_D_fake -0.008921
[418/5000][195/535][42877] Loss_D: -0.028048 Loss_G: 0.014754 Loss_D_real: -0.018340 Loss_D_fake 0.009707
[418/5000][200/535][42878] Loss_D: -0.028558 Loss_G: 0.031912 Loss_D_real: -0.029362 Loss_D_fake -0.000804
[418/5000][205/535][42879] Loss_D: -0.027357 Loss_G: -0.005041 Loss_D_real: -0.008175 Loss_D_fake 0.019182
[418/5000][210/535][42880] Loss_D: -0.028603 Loss_G: 0.029523 Loss_D_real: -0.020900 Loss_D_fake 0.007703
[418/5000][215/535][42881] Loss_D: -0.027973 Loss_G: -0.005364 Loss_D_real: -0.009113 Loss_D_fake 0.018860
[418/5000][220/535][42882] Loss_D: -0.026453 Loss_G: 0.022810 Loss_D_real: -0.029905 Loss_D_fake -0.003452
[418/5000][225/535][42883] Loss_D: -0.028481 Loss_G: 0.007969 Loss_D_real: -0.021242 Loss_D_fake 0.007238
[418/5000][230/535][42884] Loss_D: -0.028138 Loss_G: 0.012910 Loss_D_real: -0.021996 Loss_D_fake 0.006142
[418/5000][235/535][42885] Loss_D: -0.027396 Loss_G: 0.005653 Loss_D_real: -0.011196 Loss_D_fake 0.016200
[418/5000][240/535][42886] Loss_D: -0.029240 Loss_G: 0.019220 Loss_D_real: -0.015344 Loss_D_fake 0.013896
[418/5000][245/535][42887] Loss_D: -0.030167 Loss_G: 0.016428 Loss_D_real: -0.019521 Loss_D_fake 0.010646
[418/5000][250/535][42888] Loss_D: -0.028562 Loss_G: 0.006979 Loss_D_real: -0.019273 Loss_D_fake 0.009289
[418/5000][255/535][42889] Loss_D: -0.028600 Loss_G: 0.020204 Loss_D_real: -0.027001 Loss_D_fake 0.001599
[418/5000][260/535][42890] Loss_D: -0.029884 Loss_G: 0.023353 Loss_D_real: -0.025562 Loss_D_fake 0.004322
[418/5000][265/535][42891] Loss_D: -0.028098 Loss_G: -0.004931 Loss_D_real: -0.015166 Loss_D_fake 0.012932
[418/5000][270/535][42892] Loss_D: -0.027793 Loss_G: -0.002838 Loss_D_real: -0.001284 Loss_D_fake 0.026508
[418/5000][275/535][42893] Loss_D: -0.028154 Loss_G: 0.017021 Loss_D_real: -0.020084 Loss_D_fake 0.008069
[418/5000][280/535][42894] Loss_D: -0.028271 Loss_G: 0.016108 Loss_D_real: -0.017495 Loss_D_fake 0.010776
[418/5000][285/535][42895] Loss_D: -0.029103 Loss_G: 0.033822 Loss_D_real: -0.030595 Loss_D_fake -0.001493
[418/5000][290/535][42896] Loss_D: -0.027241 Loss_G: 0.019209 Loss_D_real: -0.030792 Loss_D_fake -0.003551
[418/5000][295/535][42897] Loss_D: -0.028501 Loss_G: 0.004630 Loss_D_real: -0.003835 Loss_D_fake 0.024666
[418/5000][300/535][42898] Loss_D: -0.028702 Loss_G: 0.025236 Loss_D_real: -0.023553 Loss_D_fake 0.005149
[418/5000][305/535][42899] Loss_D: -0.030164 Loss_G: 0.015984 Loss_D_real: -0.019808 Loss_D_fake 0.010356
[418/5000][310/535][42900] Loss_D: -0.027580 Loss_G: 0.028596 Loss_D_real: -0.022908 Loss_D_fake 0.004672
[418/5000][315/535][42901] Loss_D: -0.027948 Loss_G: 0.020566 Loss_D_real: -0.028515 Loss_D_fake -0.000568
[418/5000][320/535][42902] Loss_D: -0.028291 Loss_G: 0.037478 Loss_D_real: -0.026320 Loss_D_fake 0.001971
[418/5000][325/535][42903] Loss_D: -0.028481 Loss_G: 0.002411 Loss_D_real: -0.011899 Loss_D_fake 0.016582
[418/5000][330/535][42904] Loss_D: -0.028405 Loss_G: 0.039421 Loss_D_real: -0.028811 Loss_D_fake -0.000406
[418/5000][335/535][42905] Loss_D: -0.029268 Loss_G: 0.021196 Loss_D_real: -0.026548 Loss_D_fake 0.002720
[418/5000][340/535][42906] Loss_D: -0.029477 Loss_G: -0.014981 Loss_D_real: 0.001798 Loss_D_fake 0.031275
[418/5000][345/535][42907] Loss_D: -0.027198 Loss_G: 0.026393 Loss_D_real: -0.034036 Loss_D_fake -0.006838
[418/5000][350/535][42908] Loss_D: -0.028603 Loss_G: 0.023410 Loss_D_real: -0.033500 Loss_D_fake -0.004897
[418/5000][355/535][42909] Loss_D: -0.029954 Loss_G: -0.008759 Loss_D_real: -0.007105 Loss_D_fake 0.022850
[418/5000][360/535][42910] Loss_D: -0.028504 Loss_G: 0.019524 Loss_D_real: -0.022176 Loss_D_fake 0.006328
[418/5000][365/535][42911] Loss_D: -0.027921 Loss_G: 0.003782 Loss_D_real: -0.010598 Loss_D_fake 0.017323
[418/5000][370/535][42912] Loss_D: -0.028866 Loss_G: 0.005063 Loss_D_real: -0.009678 Loss_D_fake 0.019188
[418/5000][375/535][42913] Loss_D: -0.025703 Loss_G: 0.027953 Loss_D_real: -0.045900 Loss_D_fake -0.020197
[418/5000][380/535][42914] Loss_D: -0.029467 Loss_G: 0.019502 Loss_D_real: -0.023306 Loss_D_fake 0.006162
[418/5000][385/535][42915] Loss_D: -0.027913 Loss_G: -0.011796 Loss_D_real: -0.001475 Loss_D_fake 0.026438
[418/5000][390/535][42916] Loss_D: -0.028444 Loss_G: 0.015905 Loss_D_real: -0.014354 Loss_D_fake 0.014090
[418/5000][395/535][42917] Loss_D: -0.028310 Loss_G: -0.004151 Loss_D_real: 0.002048 Loss_D_fake 0.030358
[418/5000][400/535][42918] Loss_D: -0.027535 Loss_G: 0.027717 Loss_D_real: -0.033203 Loss_D_fake -0.005668
[418/5000][405/535][42919] Loss_D: -0.028225 Loss_G: 0.008538 Loss_D_real: -0.016650 Loss_D_fake 0.011575
[418/5000][410/535][42920] Loss_D: -0.029340 Loss_G: 0.021481 Loss_D_real: -0.007407 Loss_D_fake 0.021932
[418/5000][415/535][42921] Loss_D: -0.028099 Loss_G: 0.005424 Loss_D_real: -0.015063 Loss_D_fake 0.013036
[418/5000][420/535][42922] Loss_D: -0.028042 Loss_G: 0.027073 Loss_D_real: -0.027766 Loss_D_fake 0.000276
[418/5000][425/535][42923] Loss_D: -0.027979 Loss_G: 0.002988 Loss_D_real: -0.007136 Loss_D_fake 0.020843
[418/5000][430/535][42924] Loss_D: -0.029044 Loss_G: 0.006818 Loss_D_real: -0.014469 Loss_D_fake 0.014575
[418/5000][435/535][42925] Loss_D: -0.028985 Loss_G: 0.018556 Loss_D_real: -0.015020 Loss_D_fake 0.013966
[418/5000][440/535][42926] Loss_D: -0.027110 Loss_G: 0.024654 Loss_D_real: -0.022085 Loss_D_fake 0.005026
[418/5000][445/535][42927] Loss_D: -0.026676 Loss_G: 0.009278 Loss_D_real: -0.010163 Loss_D_fake 0.016513
[418/5000][450/535][42928] Loss_D: -0.028111 Loss_G: 0.024463 Loss_D_real: -0.024880 Loss_D_fake 0.003232
[418/5000][455/535][42929] Loss_D: -0.029357 Loss_G: 0.001823 Loss_D_real: -0.012952 Loss_D_fake 0.016406
[418/5000][460/535][42930] Loss_D: -0.028654 Loss_G: 0.030798 Loss_D_real: -0.026905 Loss_D_fake 0.001749
[418/5000][465/535][42931] Loss_D: -0.027411 Loss_G: 0.006072 Loss_D_real: -0.014904 Loss_D_fake 0.012508
[418/5000][470/535][42932] Loss_D: -0.029040 Loss_G: 0.026417 Loss_D_real: -0.024816 Loss_D_fake 0.004224
[418/5000][475/535][42933] Loss_D: -0.029336 Loss_G: 0.004697 Loss_D_real: -0.012776 Loss_D_fake 0.016560
[418/5000][480/535][42934] Loss_D: -0.028019 Loss_G: 0.023202 Loss_D_real: -0.018500 Loss_D_fake 0.009519
[418/5000][485/535][42935] Loss_D: -0.027510 Loss_G: 0.020962 Loss_D_real: -0.024044 Loss_D_fake 0.003466
[418/5000][490/535][42936] Loss_D: -0.028864 Loss_G: 0.005091 Loss_D_real: -0.015135 Loss_D_fake 0.013729
[418/5000][495/535][42937] Loss_D: -0.028275 Loss_G: 0.017996 Loss_D_real: -0.018186 Loss_D_fake 0.010089
[418/5000][500/535][42938] Loss_D: -0.027616 Loss_G: 0.011997 Loss_D_real: -0.011823 Loss_D_fake 0.015792
[418/5000][505/535][42939] Loss_D: -0.030094 Loss_G: 0.023008 Loss_D_real: -0.013042 Loss_D_fake 0.017051
[418/5000][510/535][42940] Loss_D: -0.028669 Loss_G: 0.032902 Loss_D_real: -0.028671 Loss_D_fake -0.000002
[418/5000][515/535][42941] Loss_D: -0.030149 Loss_G: 0.000912 Loss_D_real: -0.002428 Loss_D_fake 0.027721
[418/5000][520/535][42942] Loss_D: -0.028500 Loss_G: 0.016473 Loss_D_real: -0.011082 Loss_D_fake 0.017418
[418/5000][525/535][42943] Loss_D: -0.029344 Loss_G: 0.011283 Loss_D_real: -0.024377 Loss_D_fake 0.004966
[418/5000][530/535][42944] Loss_D: -0.028788 Loss_G: 0.002266 Loss_D_real: -0.020463 Loss_D_fake 0.008324
[418/5000][535/535][42945] Loss_D: -0.029414 Loss_G: -0.000159 Loss_D_real: -0.018574 Loss_D_fake 0.010840
[419/5000][5/535][42946] Loss_D: -0.026599 Loss_G: 0.027451 Loss_D_real: -0.027785 Loss_D_fake -0.001186
[419/5000][10/535][42947] Loss_D: -0.026042 Loss_G: 0.038017 Loss_D_real: -0.039076 Loss_D_fake -0.013034
[419/5000][15/535][42948] Loss_D: -0.028642 Loss_G: 0.004877 Loss_D_real: -0.017470 Loss_D_fake 0.011172
[419/5000][20/535][42949] Loss_D: -0.027739 Loss_G: 0.027316 Loss_D_real: -0.031354 Loss_D_fake -0.003616
[419/5000][25/535][42950] Loss_D: -0.028553 Loss_G: 0.009542 Loss_D_real: -0.013227 Loss_D_fake 0.015326
[419/5000][30/535][42951] Loss_D: -0.028630 Loss_G: 0.013502 Loss_D_real: -0.022270 Loss_D_fake 0.006360
[419/5000][35/535][42952] Loss_D: -0.026195 Loss_G: 0.037135 Loss_D_real: -0.032628 Loss_D_fake -0.006433
[419/5000][40/535][42953] Loss_D: -0.027830 Loss_G: 0.000181 Loss_D_real: -0.003028 Loss_D_fake 0.024802
[419/5000][45/535][42954] Loss_D: -0.028234 Loss_G: 0.004722 Loss_D_real: -0.006451 Loss_D_fake 0.021783
[419/5000][50/535][42955] Loss_D: -0.025970 Loss_G: 0.006687 Loss_D_real: -0.018319 Loss_D_fake 0.007651
[419/5000][55/535][42956] Loss_D: -0.027816 Loss_G: 0.012783 Loss_D_real: -0.019759 Loss_D_fake 0.008057
[419/5000][60/535][42957] Loss_D: -0.029201 Loss_G: 0.024586 Loss_D_real: -0.030236 Loss_D_fake -0.001036
[419/5000][65/535][42958] Loss_D: -0.028327 Loss_G: -0.000143 Loss_D_real: -0.000449 Loss_D_fake 0.027878
[419/5000][70/535][42959] Loss_D: -0.027242 Loss_G: 0.015571 Loss_D_real: -0.024494 Loss_D_fake 0.002747
[419/5000][75/535][42960] Loss_D: -0.028790 Loss_G: 0.017745 Loss_D_real: -0.017836 Loss_D_fake 0.010955
[419/5000][80/535][42961] Loss_D: -0.029552 Loss_G: 0.006452 Loss_D_real: -0.008049 Loss_D_fake 0.021503
[419/5000][85/535][42962] Loss_D: -0.028312 Loss_G: -0.000129 Loss_D_real: -0.002882 Loss_D_fake 0.025430
[419/5000][90/535][42963] Loss_D: -0.027898 Loss_G: 0.028754 Loss_D_real: -0.033325 Loss_D_fake -0.005427
[419/5000][95/535][42964] Loss_D: -0.028425 Loss_G: 0.007953 Loss_D_real: -0.015723 Loss_D_fake 0.012701
[419/5000][100/535][42965] Loss_D: -0.027521 Loss_G: -0.001344 Loss_D_real: -0.011227 Loss_D_fake 0.016294
[419/5000][105/535][42966] Loss_D: -0.028563 Loss_G: 0.020754 Loss_D_real: -0.019694 Loss_D_fake 0.008869
[419/5000][110/535][42967] Loss_D: -0.029347 Loss_G: 0.006726 Loss_D_real: -0.005139 Loss_D_fake 0.024208
[419/5000][115/535][42968] Loss_D: -0.028402 Loss_G: 0.008985 Loss_D_real: -0.007323 Loss_D_fake 0.021078
[419/5000][120/535][42969] Loss_D: -0.029261 Loss_G: 0.001238 Loss_D_real: -0.012348 Loss_D_fake 0.016914
[419/5000][125/535][42970] Loss_D: -0.028602 Loss_G: 0.031215 Loss_D_real: -0.025226 Loss_D_fake 0.003376
[419/5000][130/535][42971] Loss_D: -0.028982 Loss_G: 0.018385 Loss_D_real: -0.016103 Loss_D_fake 0.012878
[419/5000][135/535][42972] Loss_D: -0.028273 Loss_G: 0.024723 Loss_D_real: -0.031976 Loss_D_fake -0.003703
[419/5000][140/535][42973] Loss_D: -0.028730 Loss_G: 0.017688 Loss_D_real: -0.034380 Loss_D_fake -0.005650
[419/5000][145/535][42974] Loss_D: -0.027965 Loss_G: 0.031203 Loss_D_real: -0.028117 Loss_D_fake -0.000152
[419/5000][150/535][42975] Loss_D: -0.028548 Loss_G: 0.032965 Loss_D_real: -0.021232 Loss_D_fake 0.007316
[419/5000][155/535][42976] Loss_D: -0.029786 Loss_G: 0.023103 Loss_D_real: -0.022495 Loss_D_fake 0.007291
[419/5000][160/535][42977] Loss_D: -0.030134 Loss_G: 0.030947 Loss_D_real: -0.033008 Loss_D_fake -0.002874
[419/5000][165/535][42978] Loss_D: -0.029619 Loss_G: 0.012982 Loss_D_real: -0.022057 Loss_D_fake 0.007563
[419/5000][170/535][42979] Loss_D: -0.029862 Loss_G: 0.016492 Loss_D_real: -0.022047 Loss_D_fake 0.007815
[419/5000][175/535][42980] Loss_D: -0.029011 Loss_G: 0.030019 Loss_D_real: -0.020128 Loss_D_fake 0.008883
[419/5000][180/535][42981] Loss_D: -0.029185 Loss_G: -0.003642 Loss_D_real: -0.012209 Loss_D_fake 0.016976
[419/5000][185/535][42982] Loss_D: -0.028065 Loss_G: 0.008969 Loss_D_real: -0.013777 Loss_D_fake 0.014288
[419/5000][190/535][42983] Loss_D: -0.027108 Loss_G: 0.022484 Loss_D_real: -0.028605 Loss_D_fake -0.001497
[419/5000][195/535][42984] Loss_D: -0.027587 Loss_G: 0.015925 Loss_D_real: -0.022147 Loss_D_fake 0.005440
[419/5000][200/535][42985] Loss_D: -0.027912 Loss_G: 0.002674 Loss_D_real: -0.010342 Loss_D_fake 0.017570
[419/5000][205/535][42986] Loss_D: -0.027465 Loss_G: 0.006993 Loss_D_real: -0.015152 Loss_D_fake 0.012313
[419/5000][210/535][42987] Loss_D: -0.027552 Loss_G: 0.032754 Loss_D_real: -0.029469 Loss_D_fake -0.001917
[419/5000][215/535][42988] Loss_D: -0.028190 Loss_G: -0.012959 Loss_D_real: -0.004605 Loss_D_fake 0.023585
[419/5000][220/535][42989] Loss_D: -0.029236 Loss_G: 0.016126 Loss_D_real: -0.011555 Loss_D_fake 0.017680
[419/5000][225/535][42990] Loss_D: -0.027574 Loss_G: 0.018573 Loss_D_real: -0.026593 Loss_D_fake 0.000981
[419/5000][230/535][42991] Loss_D: -0.028710 Loss_G: 0.025608 Loss_D_real: -0.026254 Loss_D_fake 0.002455
[419/5000][235/535][42992] Loss_D: -0.028418 Loss_G: 0.021226 Loss_D_real: -0.021763 Loss_D_fake 0.006655
[419/5000][240/535][42993] Loss_D: -0.028365 Loss_G: -0.002934 Loss_D_real: -0.000830 Loss_D_fake 0.027535
[419/5000][245/535][42994] Loss_D: -0.028182 Loss_G: 0.011942 Loss_D_real: -0.015191 Loss_D_fake 0.012991
[419/5000][250/535][42995] Loss_D: -0.029282 Loss_G: -0.002157 Loss_D_real: -0.009477 Loss_D_fake 0.019805
[419/5000][255/535][42996] Loss_D: -0.028330 Loss_G: 0.020064 Loss_D_real: -0.020104 Loss_D_fake 0.008226
[419/5000][260/535][42997] Loss_D: -0.029178 Loss_G: 0.007695 Loss_D_real: -0.020477 Loss_D_fake 0.008702
[419/5000][265/535][42998] Loss_D: -0.024864 Loss_G: 0.038953 Loss_D_real: -0.036311 Loss_D_fake -0.011447
[419/5000][270/535][42999] Loss_D: -0.027915 Loss_G: 0.024679 Loss_D_real: -0.028301 Loss_D_fake -0.000386
[419/5000][275/535][43000] Loss_D: -0.027867 Loss_G: 0.020021 Loss_D_real: -0.018903 Loss_D_fake 0.008964
[419/5000][375/535][43001] Loss_D: -0.030212 Loss_G: 0.019216 Loss_D_real: -0.013063 Loss_D_fake 0.017149
[419/5000][380/535][43002] Loss_D: -0.028538 Loss_G: 0.009815 Loss_D_real: -0.014744 Loss_D_fake 0.013794
[419/5000][385/535][43003] Loss_D: -0.026995 Loss_G: 0.006973 Loss_D_real: -0.009862 Loss_D_fake 0.017133
[419/5000][390/535][43004] Loss_D: -0.026544 Loss_G: 0.008270 Loss_D_real: -0.008004 Loss_D_fake 0.018540
[419/5000][395/535][43005] Loss_D: -0.028464 Loss_G: 0.010233 Loss_D_real: -0.007433 Loss_D_fake 0.021031
[419/5000][400/535][43006] Loss_D: -0.028870 Loss_G: 0.029969 Loss_D_real: -0.021218 Loss_D_fake 0.007651
[419/5000][405/535][43007] Loss_D: -0.026727 Loss_G: 0.031478 Loss_D_real: -0.027728 Loss_D_fake -0.001001
[419/5000][410/535][43008] Loss_D: -0.026144 Loss_G: -0.010047 Loss_D_real: 0.008383 Loss_D_fake 0.034526
[419/5000][415/535][43009] Loss_D: -0.026867 Loss_G: 0.009129 Loss_D_real: -0.011539 Loss_D_fake 0.015328
[419/5000][420/535][43010] Loss_D: -0.029171 Loss_G: 0.017965 Loss_D_real: -0.019624 Loss_D_fake 0.009547
[419/5000][425/535][43011] Loss_D: -0.028598 Loss_G: 0.020765 Loss_D_real: -0.028912 Loss_D_fake -0.000314
[419/5000][430/535][43012] Loss_D: -0.028532 Loss_G: 0.023493 Loss_D_real: -0.015293 Loss_D_fake 0.013239
[419/5000][435/535][43013] Loss_D: -0.029154 Loss_G: 0.024364 Loss_D_real: -0.019204 Loss_D_fake 0.009950
[419/5000][440/535][43014] Loss_D: -0.027797 Loss_G: 0.029014 Loss_D_real: -0.023535 Loss_D_fake 0.004261
[419/5000][445/535][43015] Loss_D: -0.030816 Loss_G: 0.018078 Loss_D_real: -0.022215 Loss_D_fake 0.008601
[419/5000][450/535][43016] Loss_D: -0.030467 Loss_G: 0.027381 Loss_D_real: -0.030348 Loss_D_fake 0.000119
[419/5000][455/535][43017] Loss_D: -0.028920 Loss_G: 0.038745 Loss_D_real: -0.039276 Loss_D_fake -0.010356
[419/5000][460/535][43018] Loss_D: -0.028324 Loss_G: 0.011260 Loss_D_real: -0.010343 Loss_D_fake 0.017981
[419/5000][465/535][43019] Loss_D: -0.030211 Loss_G: 0.011693 Loss_D_real: -0.010563 Loss_D_fake 0.019648
[419/5000][470/535][43020] Loss_D: -0.030121 Loss_G: 0.012516 Loss_D_real: -0.022044 Loss_D_fake 0.008077
[419/5000][475/535][43021] Loss_D: -0.028359 Loss_G: 0.020382 Loss_D_real: -0.025264 Loss_D_fake 0.003094
[419/5000][480/535][43022] Loss_D: -0.029049 Loss_G: 0.032713 Loss_D_real: -0.031616 Loss_D_fake -0.002567
[419/5000][485/535][43023] Loss_D: -0.028339 Loss_G: -0.005470 Loss_D_real: 0.002331 Loss_D_fake 0.030670
[419/5000][490/535][43024] Loss_D: -0.027731 Loss_G: 0.024730 Loss_D_real: -0.031671 Loss_D_fake -0.003941
[419/5000][495/535][43025] Loss_D: -0.028533 Loss_G: 0.011239 Loss_D_real: -0.016392 Loss_D_fake 0.012141
[419/5000][500/535][43026] Loss_D: -0.027594 Loss_G: 0.014370 Loss_D_real: -0.016596 Loss_D_fake 0.010998
[419/5000][505/535][43027] Loss_D: -0.029806 Loss_G: 0.013654 Loss_D_real: -0.019558 Loss_D_fake 0.010248
[419/5000][510/535][43028] Loss_D: -0.027554 Loss_G: -0.010301 Loss_D_real: -0.000945 Loss_D_fake 0.026609
[419/5000][515/535][43029] Loss_D: -0.027989 Loss_G: 0.020974 Loss_D_real: -0.022658 Loss_D_fake 0.005331
[419/5000][520/535][43030] Loss_D: -0.027663 Loss_G: 0.022745 Loss_D_real: -0.029850 Loss_D_fake -0.002187
[419/5000][525/535][43031] Loss_D: -0.026641 Loss_G: 0.019252 Loss_D_real: -0.020844 Loss_D_fake 0.005798
[419/5000][530/535][43032] Loss_D: -0.026759 Loss_G: 0.003226 Loss_D_real: -0.004272 Loss_D_fake 0.022487
[419/5000][535/535][43033] Loss_D: -0.028974 Loss_G: 0.035734 Loss_D_real: -0.024936 Loss_D_fake 0.004038
[420/5000][5/535][43034] Loss_D: -0.028615 Loss_G: -0.010470 Loss_D_real: -0.002111 Loss_D_fake 0.026504
[420/5000][10/535][43035] Loss_D: -0.029386 Loss_G: 0.009416 Loss_D_real: -0.021319 Loss_D_fake 0.008067
[420/5000][15/535][43036] Loss_D: -0.027073 Loss_G: -0.003540 Loss_D_real: -0.004788 Loss_D_fake 0.022286
[420/5000][20/535][43037] Loss_D: -0.027572 Loss_G: 0.006007 Loss_D_real: -0.017193 Loss_D_fake 0.010379
[420/5000][25/535][43038] Loss_D: -0.029292 Loss_G: 0.035314 Loss_D_real: -0.033266 Loss_D_fake -0.003974
[420/5000][30/535][43039] Loss_D: -0.027428 Loss_G: 0.004513 Loss_D_real: -0.004486 Loss_D_fake 0.022943
[420/5000][35/535][43040] Loss_D: -0.028423 Loss_G: 0.005387 Loss_D_real: -0.010915 Loss_D_fake 0.017508
[420/5000][40/535][43041] Loss_D: -0.027083 Loss_G: 0.015478 Loss_D_real: -0.017626 Loss_D_fake 0.009457
[420/5000][45/535][43042] Loss_D: -0.029335 Loss_G: 0.021148 Loss_D_real: -0.011279 Loss_D_fake 0.018056
[420/5000][50/535][43043] Loss_D: -0.028365 Loss_G: 0.015937 Loss_D_real: -0.021820 Loss_D_fake 0.006545
[420/5000][55/535][43044] Loss_D: -0.027649 Loss_G: 0.026116 Loss_D_real: -0.029155 Loss_D_fake -0.001507
[420/5000][60/535][43045] Loss_D: -0.027562 Loss_G: -0.005563 Loss_D_real: -0.004214 Loss_D_fake 0.023348
[420/5000][65/535][43046] Loss_D: -0.027364 Loss_G: 0.024435 Loss_D_real: -0.027149 Loss_D_fake 0.000215
[420/5000][70/535][43047] Loss_D: -0.028484 Loss_G: 0.009296 Loss_D_real: -0.017940 Loss_D_fake 0.010544
[420/5000][75/535][43048] Loss_D: -0.028069 Loss_G: 0.026770 Loss_D_real: -0.029272 Loss_D_fake -0.001203
[420/5000][80/535][43049] Loss_D: -0.028847 Loss_G: 0.015528 Loss_D_real: -0.013418 Loss_D_fake 0.015429
[420/5000][85/535][43050] Loss_D: -0.029158 Loss_G: -0.000847 Loss_D_real: -0.010941 Loss_D_fake 0.018217
[420/5000][90/535][43051] Loss_D: -0.026852 Loss_G: 0.029140 Loss_D_real: -0.031433 Loss_D_fake -0.004581
[420/5000][95/535][43052] Loss_D: -0.028276 Loss_G: 0.001608 Loss_D_real: -0.009284 Loss_D_fake 0.018992
[420/5000][100/535][43053] Loss_D: -0.028019 Loss_G: -0.007846 Loss_D_real: -0.004416 Loss_D_fake 0.023603
[420/5000][105/535][43054] Loss_D: -0.028276 Loss_G: 0.002451 Loss_D_real: -0.010620 Loss_D_fake 0.017656
[420/5000][110/535][43055] Loss_D: -0.029304 Loss_G: 0.004510 Loss_D_real: -0.013936 Loss_D_fake 0.015368
[420/5000][115/535][43056] Loss_D: -0.029394 Loss_G: 0.023510 Loss_D_real: -0.019242 Loss_D_fake 0.010152
[420/5000][120/535][43057] Loss_D: -0.029972 Loss_G: -0.001901 Loss_D_real: -0.011759 Loss_D_fake 0.018214
[420/5000][125/535][43058] Loss_D: -0.028109 Loss_G: 0.023469 Loss_D_real: -0.022478 Loss_D_fake 0.005631
[420/5000][130/535][43059] Loss_D: -0.026709 Loss_G: 0.025080 Loss_D_real: -0.037463 Loss_D_fake -0.010753
[420/5000][135/535][43060] Loss_D: -0.028361 Loss_G: -0.004510 Loss_D_real: -0.007354 Loss_D_fake 0.021006
[420/5000][140/535][43061] Loss_D: -0.027305 Loss_G: -0.002997 Loss_D_real: -0.012226 Loss_D_fake 0.015079
[420/5000][145/535][43062] Loss_D: -0.026763 Loss_G: 0.001149 Loss_D_real: -0.012143 Loss_D_fake 0.014620
[420/5000][150/535][43063] Loss_D: -0.027224 Loss_G: 0.024848 Loss_D_real: -0.029959 Loss_D_fake -0.002735
[420/5000][155/535][43064] Loss_D: -0.028439 Loss_G: 0.003427 Loss_D_real: -0.007975 Loss_D_fake 0.020464
[420/5000][160/535][43065] Loss_D: -0.027800 Loss_G: 0.027641 Loss_D_real: -0.029117 Loss_D_fake -0.001316
[420/5000][165/535][43066] Loss_D: -0.028288 Loss_G: 0.005718 Loss_D_real: -0.007513 Loss_D_fake 0.020774
[420/5000][170/535][43067] Loss_D: -0.029542 Loss_G: 0.012194 Loss_D_real: -0.012324 Loss_D_fake 0.017218
[420/5000][175/535][43068] Loss_D: -0.027623 Loss_G: -0.004390 Loss_D_real: -0.003493 Loss_D_fake 0.024130
[420/5000][180/535][43069] Loss_D: -0.026559 Loss_G: 0.000106 Loss_D_real: -0.007587 Loss_D_fake 0.018972
[420/5000][185/535][43070] Loss_D: -0.028428 Loss_G: 0.026757 Loss_D_real: -0.027570 Loss_D_fake 0.000858
[420/5000][190/535][43071] Loss_D: -0.027713 Loss_G: 0.016217 Loss_D_real: -0.019525 Loss_D_fake 0.008188
[420/5000][195/535][43072] Loss_D: -0.028488 Loss_G: 0.027465 Loss_D_real: -0.013966 Loss_D_fake 0.014522
[420/5000][200/535][43073] Loss_D: -0.027586 Loss_G: 0.034546 Loss_D_real: -0.030293 Loss_D_fake -0.002707
[420/5000][205/535][43074] Loss_D: -0.028464 Loss_G: 0.010301 Loss_D_real: -0.021953 Loss_D_fake 0.006511
[420/5000][210/535][43075] Loss_D: -0.027917 Loss_G: 0.031599 Loss_D_real: -0.029135 Loss_D_fake -0.001219
[420/5000][215/535][43076] Loss_D: -0.028189 Loss_G: 0.009099 Loss_D_real: -0.014708 Loss_D_fake 0.013481
[420/5000][220/535][43077] Loss_D: -0.028122 Loss_G: 0.026695 Loss_D_real: -0.032346 Loss_D_fake -0.004224
[420/5000][225/535][43078] Loss_D: -0.028017 Loss_G: 0.010150 Loss_D_real: -0.021693 Loss_D_fake 0.006324
[420/5000][230/535][43079] Loss_D: -0.027844 Loss_G: 0.032464 Loss_D_real: -0.031909 Loss_D_fake -0.004065
[420/5000][235/535][43080] Loss_D: -0.027423 Loss_G: -0.010061 Loss_D_real: 0.004798 Loss_D_fake 0.032221
[420/5000][240/535][43081] Loss_D: -0.027884 Loss_G: 0.007888 Loss_D_real: -0.013066 Loss_D_fake 0.014818
[420/5000][245/535][43082] Loss_D: -0.029664 Loss_G: 0.012460 Loss_D_real: -0.025668 Loss_D_fake 0.003996
[420/5000][250/535][43083] Loss_D: -0.027454 Loss_G: 0.003737 Loss_D_real: -0.015321 Loss_D_fake 0.012133
[420/5000][255/535][43084] Loss_D: -0.028789 Loss_G: 0.014314 Loss_D_real: -0.019462 Loss_D_fake 0.009326
[420/5000][260/535][43085] Loss_D: -0.029822 Loss_G: 0.024437 Loss_D_real: -0.031553 Loss_D_fake -0.001731
[420/5000][265/535][43086] Loss_D: -0.029217 Loss_G: 0.003162 Loss_D_real: -0.011347 Loss_D_fake 0.017871
[420/5000][270/535][43087] Loss_D: -0.027393 Loss_G: 0.033236 Loss_D_real: -0.028141 Loss_D_fake -0.000748
[420/5000][275/535][43088] Loss_D: -0.029120 Loss_G: -0.001534 Loss_D_real: -0.009337 Loss_D_fake 0.019783
[420/5000][280/535][43089] Loss_D: -0.028130 Loss_G: 0.012394 Loss_D_real: -0.014484 Loss_D_fake 0.013646
[420/5000][285/535][43090] Loss_D: -0.027843 Loss_G: 0.034596 Loss_D_real: -0.037251 Loss_D_fake -0.009408
[420/5000][290/535][43091] Loss_D: -0.029582 Loss_G: 0.013321 Loss_D_real: -0.013999 Loss_D_fake 0.015584
[420/5000][295/535][43092] Loss_D: -0.029055 Loss_G: 0.018125 Loss_D_real: -0.016627 Loss_D_fake 0.012428
[420/5000][300/535][43093] Loss_D: -0.027733 Loss_G: -0.007419 Loss_D_real: 0.004541 Loss_D_fake 0.032275
[420/5000][305/535][43094] Loss_D: -0.027650 Loss_G: 0.011491 Loss_D_real: -0.017415 Loss_D_fake 0.010235
[420/5000][310/535][43095] Loss_D: -0.028399 Loss_G: -0.012498 Loss_D_real: -0.000812 Loss_D_fake 0.027587
[420/5000][315/535][43096] Loss_D: -0.028498 Loss_G: 0.010305 Loss_D_real: -0.019042 Loss_D_fake 0.009456
[420/5000][320/535][43097] Loss_D: -0.028691 Loss_G: -0.013578 Loss_D_real: -0.006226 Loss_D_fake 0.022465
[420/5000][325/535][43098] Loss_D: -0.028347 Loss_G: 0.008364 Loss_D_real: -0.013372 Loss_D_fake 0.014976
[420/5000][330/535][43099] Loss_D: -0.028638 Loss_G: 0.005508 Loss_D_real: -0.014056 Loss_D_fake 0.014581
[420/5000][335/535][43100] Loss_D: -0.028497 Loss_G: 0.010753 Loss_D_real: -0.018359 Loss_D_fake 0.010138
[420/5000][340/535][43101] Loss_D: -0.027865 Loss_G: 0.036873 Loss_D_real: -0.033768 Loss_D_fake -0.005904
[420/5000][345/535][43102] Loss_D: -0.027012 Loss_G: 0.010435 Loss_D_real: -0.011740 Loss_D_fake 0.015273
[420/5000][350/535][43103] Loss_D: -0.029985 Loss_G: 0.018431 Loss_D_real: -0.010038 Loss_D_fake 0.019947
[420/5000][355/535][43104] Loss_D: -0.028227 Loss_G: 0.009496 Loss_D_real: -0.020023 Loss_D_fake 0.008204
[420/5000][360/535][43105] Loss_D: -0.029385 Loss_G: 0.023349 Loss_D_real: -0.031156 Loss_D_fake -0.001771
[420/5000][365/535][43106] Loss_D: -0.030032 Loss_G: 0.014429 Loss_D_real: -0.025078 Loss_D_fake 0.004954
[420/5000][370/535][43107] Loss_D: -0.028803 Loss_G: 0.022050 Loss_D_real: -0.016046 Loss_D_fake 0.012757
[420/5000][375/535][43108] Loss_D: -0.027305 Loss_G: 0.026737 Loss_D_real: -0.035417 Loss_D_fake -0.008112
[420/5000][380/535][43109] Loss_D: -0.027345 Loss_G: 0.012810 Loss_D_real: -0.021207 Loss_D_fake 0.006137
[420/5000][385/535][43110] Loss_D: -0.026889 Loss_G: 0.000815 Loss_D_real: -0.006352 Loss_D_fake 0.020537
[420/5000][390/535][43111] Loss_D: -0.027309 Loss_G: 0.017350 Loss_D_real: -0.011504 Loss_D_fake 0.015805
[420/5000][395/535][43112] Loss_D: -0.027940 Loss_G: 0.033560 Loss_D_real: -0.026554 Loss_D_fake 0.001387
[420/5000][400/535][43113] Loss_D: -0.028128 Loss_G: 0.020594 Loss_D_real: -0.027233 Loss_D_fake 0.000895
[420/5000][405/535][43114] Loss_D: -0.028697 Loss_G: 0.005117 Loss_D_real: -0.010490 Loss_D_fake 0.018207
[420/5000][410/535][43115] Loss_D: -0.026432 Loss_G: 0.034529 Loss_D_real: -0.036515 Loss_D_fake -0.010084
[420/5000][415/535][43116] Loss_D: -0.029988 Loss_G: 0.002008 Loss_D_real: -0.009761 Loss_D_fake 0.020227
[420/5000][420/535][43117] Loss_D: -0.028477 Loss_G: 0.021124 Loss_D_real: -0.023597 Loss_D_fake 0.004880
[420/5000][425/535][43118] Loss_D: -0.028455 Loss_G: 0.013708 Loss_D_real: -0.012103 Loss_D_fake 0.016352
[420/5000][430/535][43119] Loss_D: -0.028002 Loss_G: 0.018013 Loss_D_real: -0.022619 Loss_D_fake 0.005383
[420/5000][435/535][43120] Loss_D: -0.028421 Loss_G: 0.006114 Loss_D_real: -0.021089 Loss_D_fake 0.007332
[420/5000][440/535][43121] Loss_D: -0.027943 Loss_G: 0.033412 Loss_D_real: -0.032474 Loss_D_fake -0.004531
[420/5000][445/535][43122] Loss_D: -0.027967 Loss_G: -0.004857 Loss_D_real: -0.000989 Loss_D_fake 0.026977
[420/5000][450/535][43123] Loss_D: -0.026578 Loss_G: 0.033753 Loss_D_real: -0.030236 Loss_D_fake -0.003658
[420/5000][455/535][43124] Loss_D: -0.029003 Loss_G: 0.010958 Loss_D_real: -0.018358 Loss_D_fake 0.010645
[420/5000][460/535][43125] Loss_D: -0.027752 Loss_G: 0.004673 Loss_D_real: 0.000106 Loss_D_fake 0.027858
[420/5000][465/535][43126] Loss_D: -0.029202 Loss_G: 0.015348 Loss_D_real: -0.016568 Loss_D_fake 0.012634
[420/5000][470/535][43127] Loss_D: -0.028666 Loss_G: 0.020445 Loss_D_real: -0.019508 Loss_D_fake 0.009157
[420/5000][475/535][43128] Loss_D: -0.028461 Loss_G: 0.010847 Loss_D_real: -0.014744 Loss_D_fake 0.013716
[420/5000][480/535][43129] Loss_D: -0.027347 Loss_G: -0.005139 Loss_D_real: -0.004977 Loss_D_fake 0.022370
[420/5000][485/535][43130] Loss_D: -0.027001 Loss_G: 0.021163 Loss_D_real: -0.021415 Loss_D_fake 0.005586
[420/5000][490/535][43131] Loss_D: -0.028285 Loss_G: 0.009359 Loss_D_real: -0.011765 Loss_D_fake 0.016520
[420/5000][495/535][43132] Loss_D: -0.028964 Loss_G: 0.031445 Loss_D_real: -0.026645 Loss_D_fake 0.002319
[420/5000][500/535][43133] Loss_D: -0.028886 Loss_G: 0.016302 Loss_D_real: -0.018341 Loss_D_fake 0.010544
[420/5000][505/535][43134] Loss_D: -0.027507 Loss_G: 0.000233 Loss_D_real: -0.006748 Loss_D_fake 0.020759
[420/5000][510/535][43135] Loss_D: -0.029532 Loss_G: 0.019700 Loss_D_real: -0.027579 Loss_D_fake 0.001953
[420/5000][515/535][43136] Loss_D: -0.028064 Loss_G: -0.011517 Loss_D_real: -0.005060 Loss_D_fake 0.023004
[420/5000][520/535][43137] Loss_D: -0.028140 Loss_G: 0.037715 Loss_D_real: -0.032679 Loss_D_fake -0.004540
[420/5000][525/535][43138] Loss_D: -0.028357 Loss_G: 0.021181 Loss_D_real: -0.020944 Loss_D_fake 0.007413
[420/5000][530/535][43139] Loss_D: -0.029226 Loss_G: 0.007933 Loss_D_real: -0.007267 Loss_D_fake 0.021959
[420/5000][535/535][43140] Loss_D: -0.025226 Loss_G: 0.012466 Loss_D_real: -0.007021 Loss_D_fake 0.018206
[421/5000][5/535][43141] Loss_D: -0.028765 Loss_G: 0.007113 Loss_D_real: -0.004393 Loss_D_fake 0.024372
[421/5000][10/535][43142] Loss_D: -0.028202 Loss_G: 0.022878 Loss_D_real: -0.020942 Loss_D_fake 0.007260
[421/5000][15/535][43143] Loss_D: -0.027530 Loss_G: 0.008542 Loss_D_real: -0.014839 Loss_D_fake 0.012690
[421/5000][20/535][43144] Loss_D: -0.029227 Loss_G: 0.014090 Loss_D_real: -0.014846 Loss_D_fake 0.014380
[421/5000][25/535][43145] Loss_D: -0.028468 Loss_G: 0.026442 Loss_D_real: -0.034424 Loss_D_fake -0.005956
[421/5000][30/535][43146] Loss_D: -0.027820 Loss_G: 0.020064 Loss_D_real: -0.024400 Loss_D_fake 0.003419
[421/5000][35/535][43147] Loss_D: -0.028577 Loss_G: -0.003344 Loss_D_real: -0.002915 Loss_D_fake 0.025662
[421/5000][40/535][43148] Loss_D: -0.028021 Loss_G: 0.008411 Loss_D_real: -0.016820 Loss_D_fake 0.011201
[421/5000][45/535][43149] Loss_D: -0.029523 Loss_G: 0.015473 Loss_D_real: -0.011486 Loss_D_fake 0.018037
[421/5000][50/535][43150] Loss_D: -0.027777 Loss_G: 0.023012 Loss_D_real: -0.017323 Loss_D_fake 0.010454
[421/5000][55/535][43151] Loss_D: -0.026888 Loss_G: -0.005802 Loss_D_real: -0.000989 Loss_D_fake 0.025899
[421/5000][60/535][43152] Loss_D: -0.028767 Loss_G: 0.023190 Loss_D_real: -0.021368 Loss_D_fake 0.007399
[421/5000][65/535][43153] Loss_D: -0.027706 Loss_G: 0.031390 Loss_D_real: -0.026220 Loss_D_fake 0.001486
[421/5000][70/535][43154] Loss_D: -0.028970 Loss_G: 0.021694 Loss_D_real: -0.024255 Loss_D_fake 0.004715
[421/5000][75/535][43155] Loss_D: -0.028450 Loss_G: 0.013306 Loss_D_real: -0.007809 Loss_D_fake 0.020641
[421/5000][80/535][43156] Loss_D: -0.027749 Loss_G: 0.024221 Loss_D_real: -0.033170 Loss_D_fake -0.005420
[421/5000][85/535][43157] Loss_D: -0.029847 Loss_G: 0.017708 Loss_D_real: -0.016305 Loss_D_fake 0.013542
[421/5000][90/535][43158] Loss_D: -0.028937 Loss_G: 0.007550 Loss_D_real: -0.013395 Loss_D_fake 0.015542
[421/5000][95/535][43159] Loss_D: -0.028545 Loss_G: 0.014188 Loss_D_real: -0.012601 Loss_D_fake 0.015944
[421/5000][100/535][43160] Loss_D: -0.029000 Loss_G: 0.026854 Loss_D_real: -0.028750 Loss_D_fake 0.000249
[421/5000][105/535][43161] Loss_D: -0.027782 Loss_G: 0.011025 Loss_D_real: -0.012152 Loss_D_fake 0.015630
[421/5000][110/535][43162] Loss_D: -0.028171 Loss_G: 0.036965 Loss_D_real: -0.023130 Loss_D_fake 0.005041
[421/5000][115/535][43163] Loss_D: -0.027482 Loss_G: 0.006399 Loss_D_real: -0.020648 Loss_D_fake 0.006834
[421/5000][120/535][43164] Loss_D: -0.027388 Loss_G: 0.031025 Loss_D_real: -0.025618 Loss_D_fake 0.001770
[421/5000][125/535][43165] Loss_D: -0.030061 Loss_G: 0.000185 Loss_D_real: -0.017990 Loss_D_fake 0.012072
[421/5000][130/535][43166] Loss_D: -0.028470 Loss_G: 0.023736 Loss_D_real: -0.016776 Loss_D_fake 0.011694
[421/5000][135/535][43167] Loss_D: -0.028390 Loss_G: 0.009850 Loss_D_real: -0.012254 Loss_D_fake 0.016135
[421/5000][140/535][43168] Loss_D: -0.027353 Loss_G: 0.008056 Loss_D_real: -0.009973 Loss_D_fake 0.017381
[421/5000][145/535][43169] Loss_D: -0.028452 Loss_G: 0.017406 Loss_D_real: -0.020091 Loss_D_fake 0.008360
[421/5000][150/535][43170] Loss_D: -0.027097 Loss_G: 0.035596 Loss_D_real: -0.030691 Loss_D_fake -0.003594
[421/5000][155/535][43171] Loss_D: -0.028253 Loss_G: -0.005002 Loss_D_real: -0.007870 Loss_D_fake 0.020383
[421/5000][160/535][43172] Loss_D: -0.027217 Loss_G: -0.000338 Loss_D_real: -0.003771 Loss_D_fake 0.023446
[421/5000][165/535][43173] Loss_D: -0.028486 Loss_G: 0.000077 Loss_D_real: -0.012606 Loss_D_fake 0.015879
[421/5000][170/535][43174] Loss_D: -0.027550 Loss_G: 0.026473 Loss_D_real: -0.026873 Loss_D_fake 0.000677
[421/5000][175/535][43175] Loss_D: -0.027417 Loss_G: 0.025189 Loss_D_real: -0.025895 Loss_D_fake 0.001523
[421/5000][180/535][43176] Loss_D: -0.029694 Loss_G: 0.009247 Loss_D_real: -0.021185 Loss_D_fake 0.008509
[421/5000][185/535][43177] Loss_D: -0.028551 Loss_G: 0.025604 Loss_D_real: -0.027292 Loss_D_fake 0.001259
[421/5000][190/535][43178] Loss_D: -0.028564 Loss_G: 0.006492 Loss_D_real: -0.009890 Loss_D_fake 0.018674
[421/5000][195/535][43179] Loss_D: -0.027285 Loss_G: 0.025732 Loss_D_real: -0.027836 Loss_D_fake -0.000551
[421/5000][200/535][43180] Loss_D: -0.028542 Loss_G: 0.000684 Loss_D_real: -0.014364 Loss_D_fake 0.014178
[421/5000][205/535][43181] Loss_D: -0.027456 Loss_G: -0.013025 Loss_D_real: 0.004260 Loss_D_fake 0.031716
[421/5000][210/535][43182] Loss_D: -0.026043 Loss_G: 0.032916 Loss_D_real: -0.027801 Loss_D_fake -0.001758
[421/5000][215/535][43183] Loss_D: -0.028988 Loss_G: 0.000573 Loss_D_real: -0.006226 Loss_D_fake 0.022762
[421/5000][220/535][43184] Loss_D: -0.027900 Loss_G: 0.020951 Loss_D_real: -0.031151 Loss_D_fake -0.003251
[421/5000][225/535][43185] Loss_D: -0.028125 Loss_G: 0.017122 Loss_D_real: -0.026047 Loss_D_fake 0.002078
[421/5000][230/535][43186] Loss_D: -0.029232 Loss_G: 0.010395 Loss_D_real: -0.014986 Loss_D_fake 0.014246
[421/5000][235/535][43187] Loss_D: -0.028825 Loss_G: 0.013398 Loss_D_real: -0.013393 Loss_D_fake 0.015432
[421/5000][240/535][43188] Loss_D: -0.029106 Loss_G: 0.022573 Loss_D_real: -0.019162 Loss_D_fake 0.009944
[421/5000][245/535][43189] Loss_D: -0.027674 Loss_G: 0.019157 Loss_D_real: -0.019872 Loss_D_fake 0.007802
[421/5000][250/535][43190] Loss_D: -0.028174 Loss_G: 0.005614 Loss_D_real: -0.011669 Loss_D_fake 0.016504
[421/5000][255/535][43191] Loss_D: -0.028429 Loss_G: 0.027366 Loss_D_real: -0.028449 Loss_D_fake -0.000020
[421/5000][260/535][43192] Loss_D: -0.028663 Loss_G: -0.008685 Loss_D_real: -0.005793 Loss_D_fake 0.022870
[421/5000][265/535][43193] Loss_D: -0.028049 Loss_G: 0.010044 Loss_D_real: -0.011685 Loss_D_fake 0.016364
[421/5000][270/535][43194] Loss_D: -0.027516 Loss_G: 0.037791 Loss_D_real: -0.021900 Loss_D_fake 0.005616
[421/5000][275/535][43195] Loss_D: -0.026742 Loss_G: -0.011438 Loss_D_real: 0.003674 Loss_D_fake 0.030415
[421/5000][280/535][43196] Loss_D: -0.027163 Loss_G: 0.025040 Loss_D_real: -0.021358 Loss_D_fake 0.005806
[421/5000][285/535][43197] Loss_D: -0.027634 Loss_G: 0.027643 Loss_D_real: -0.022076 Loss_D_fake 0.005557
[421/5000][290/535][43198] Loss_D: -0.026190 Loss_G: -0.006295 Loss_D_real: -0.002269 Loss_D_fake 0.023921
[421/5000][295/535][43199] Loss_D: -0.027219 Loss_G: 0.029383 Loss_D_real: -0.027754 Loss_D_fake -0.000534
[421/5000][300/535][43200] Loss_D: -0.028326 Loss_G: 0.016824 Loss_D_real: -0.022539 Loss_D_fake 0.005787
[421/5000][305/535][43201] Loss_D: -0.027797 Loss_G: 0.018394 Loss_D_real: -0.020558 Loss_D_fake 0.007239
[421/5000][310/535][43202] Loss_D: -0.027472 Loss_G: -0.009954 Loss_D_real: -0.002549 Loss_D_fake 0.024923
[421/5000][315/535][43203] Loss_D: -0.026560 Loss_G: 0.024804 Loss_D_real: -0.025787 Loss_D_fake 0.000773
[421/5000][320/535][43204] Loss_D: -0.027433 Loss_G: 0.023189 Loss_D_real: -0.022530 Loss_D_fake 0.004903
[421/5000][325/535][43205] Loss_D: -0.028124 Loss_G: 0.025461 Loss_D_real: -0.020059 Loss_D_fake 0.008064
[421/5000][330/535][43206] Loss_D: -0.028535 Loss_G: -0.000700 Loss_D_real: -0.018262 Loss_D_fake 0.010273
[421/5000][335/535][43207] Loss_D: -0.029044 Loss_G: 0.003309 Loss_D_real: -0.011649 Loss_D_fake 0.017395
[421/5000][340/535][43208] Loss_D: -0.029039 Loss_G: 0.007565 Loss_D_real: -0.014940 Loss_D_fake 0.014099
[421/5000][345/535][43209] Loss_D: -0.029781 Loss_G: 0.024256 Loss_D_real: -0.023402 Loss_D_fake 0.006380
[421/5000][350/535][43210] Loss_D: -0.030186 Loss_G: 0.024457 Loss_D_real: -0.021545 Loss_D_fake 0.008641
[421/5000][355/535][43211] Loss_D: -0.029738 Loss_G: -0.000067 Loss_D_real: -0.003911 Loss_D_fake 0.025827
[421/5000][360/535][43212] Loss_D: -0.028641 Loss_G: 0.023543 Loss_D_real: -0.029996 Loss_D_fake -0.001355
[421/5000][365/535][43213] Loss_D: -0.028754 Loss_G: 0.019310 Loss_D_real: -0.013460 Loss_D_fake 0.015294
[421/5000][370/535][43214] Loss_D: -0.029635 Loss_G: 0.016445 Loss_D_real: -0.019770 Loss_D_fake 0.009865
[421/5000][375/535][43215] Loss_D: -0.031671 Loss_G: 0.014193 Loss_D_real: -0.027043 Loss_D_fake 0.004628
[421/5000][380/535][43216] Loss_D: -0.028861 Loss_G: 0.014267 Loss_D_real: -0.029198 Loss_D_fake -0.000337
[421/5000][385/535][43217] Loss_D: -0.028319 Loss_G: 0.018450 Loss_D_real: -0.021357 Loss_D_fake 0.006962
[421/5000][390/535][43218] Loss_D: -0.029229 Loss_G: 0.022079 Loss_D_real: -0.020384 Loss_D_fake 0.008845
[421/5000][395/535][43219] Loss_D: -0.030341 Loss_G: 0.011458 Loss_D_real: -0.011269 Loss_D_fake 0.019072
[421/5000][400/535][43220] Loss_D: -0.030003 Loss_G: -0.000947 Loss_D_real: -0.012410 Loss_D_fake 0.017593
[421/5000][405/535][43221] Loss_D: -0.028241 Loss_G: 0.011110 Loss_D_real: -0.020994 Loss_D_fake 0.007247
[421/5000][410/535][43222] Loss_D: -0.027682 Loss_G: 0.006364 Loss_D_real: -0.007518 Loss_D_fake 0.020165
[421/5000][415/535][43223] Loss_D: -0.028694 Loss_G: -0.013128 Loss_D_real: 0.007137 Loss_D_fake 0.035831
[421/5000][420/535][43224] Loss_D: -0.028253 Loss_G: 0.011920 Loss_D_real: -0.016427 Loss_D_fake 0.011825
[421/5000][425/535][43225] Loss_D: -0.029545 Loss_G: 0.012856 Loss_D_real: -0.015755 Loss_D_fake 0.013790
[421/5000][430/535][43226] Loss_D: -0.028904 Loss_G: 0.012221 Loss_D_real: -0.013941 Loss_D_fake 0.014963
[421/5000][435/535][43227] Loss_D: -0.029579 Loss_G: 0.009713 Loss_D_real: -0.018868 Loss_D_fake 0.010711
[421/5000][440/535][43228] Loss_D: -0.027392 Loss_G: 0.026324 Loss_D_real: -0.026743 Loss_D_fake 0.000649
[421/5000][445/535][43229] Loss_D: -0.028473 Loss_G: 0.019087 Loss_D_real: -0.030126 Loss_D_fake -0.001652
[421/5000][450/535][43230] Loss_D: -0.028859 Loss_G: -0.003436 Loss_D_real: -0.001815 Loss_D_fake 0.027044
[421/5000][455/535][43231] Loss_D: -0.027877 Loss_G: 0.016210 Loss_D_real: -0.017788 Loss_D_fake 0.010089
[421/5000][460/535][43232] Loss_D: -0.028978 Loss_G: 0.027973 Loss_D_real: -0.032111 Loss_D_fake -0.003132
[421/5000][465/535][43233] Loss_D: -0.029708 Loss_G: -0.009720 Loss_D_real: -0.004612 Loss_D_fake 0.025096
[421/5000][470/535][43234] Loss_D: -0.028302 Loss_G: 0.016919 Loss_D_real: -0.016926 Loss_D_fake 0.011375
[421/5000][475/535][43235] Loss_D: -0.028132 Loss_G: -0.003134 Loss_D_real: -0.003585 Loss_D_fake 0.024547
[421/5000][480/535][43236] Loss_D: -0.026463 Loss_G: -0.004043 Loss_D_real: -0.002684 Loss_D_fake 0.023779
[421/5000][485/535][43237] Loss_D: -0.028063 Loss_G: 0.025484 Loss_D_real: -0.034291 Loss_D_fake -0.006228
[421/5000][490/535][43238] Loss_D: -0.027606 Loss_G: 0.020245 Loss_D_real: -0.023082 Loss_D_fake 0.004523
[421/5000][495/535][43239] Loss_D: -0.028783 Loss_G: 0.008684 Loss_D_real: -0.015017 Loss_D_fake 0.013766
[421/5000][500/535][43240] Loss_D: -0.026889 Loss_G: 0.008175 Loss_D_real: -0.017799 Loss_D_fake 0.009090
[421/5000][505/535][43241] Loss_D: -0.028916 Loss_G: 0.026873 Loss_D_real: -0.039093 Loss_D_fake -0.010176
[421/5000][510/535][43242] Loss_D: -0.028032 Loss_G: 0.024873 Loss_D_real: -0.020765 Loss_D_fake 0.007267
[421/5000][515/535][43243] Loss_D: -0.028434 Loss_G: -0.008512 Loss_D_real: -0.007387 Loss_D_fake 0.021047
[421/5000][520/535][43244] Loss_D: -0.028149 Loss_G: 0.027476 Loss_D_real: -0.028740 Loss_D_fake -0.000591
[421/5000][525/535][43245] Loss_D: -0.028178 Loss_G: 0.034939 Loss_D_real: -0.021935 Loss_D_fake 0.006243
[421/5000][530/535][43246] Loss_D: -0.028409 Loss_G: 0.003048 Loss_D_real: -0.010340 Loss_D_fake 0.018068
[421/5000][535/535][43247] Loss_D: -0.032876 Loss_G: 0.044721 Loss_D_real: -0.034345 Loss_D_fake -0.001469
[422/5000][5/535][43248] Loss_D: -0.028247 Loss_G: 0.012338 Loss_D_real: -0.007509 Loss_D_fake 0.020738
[422/5000][10/535][43249] Loss_D: -0.027291 Loss_G: 0.006496 Loss_D_real: -0.013599 Loss_D_fake 0.013692
[422/5000][15/535][43250] Loss_D: -0.028516 Loss_G: 0.004583 Loss_D_real: -0.010866 Loss_D_fake 0.017650
[422/5000][20/535][43251] Loss_D: -0.027816 Loss_G: 0.024442 Loss_D_real: -0.033956 Loss_D_fake -0.006140
[422/5000][25/535][43252] Loss_D: -0.029051 Loss_G: 0.014151 Loss_D_real: -0.018929 Loss_D_fake 0.010122
[422/5000][30/535][43253] Loss_D: -0.027537 Loss_G: 0.015318 Loss_D_real: -0.023489 Loss_D_fake 0.004047
[422/5000][35/535][43254] Loss_D: -0.029338 Loss_G: 0.038951 Loss_D_real: -0.041519 Loss_D_fake -0.012181
[422/5000][40/535][43255] Loss_D: -0.028911 Loss_G: 0.017886 Loss_D_real: -0.015313 Loss_D_fake 0.013598
[422/5000][45/535][43256] Loss_D: -0.028941 Loss_G: 0.017327 Loss_D_real: -0.019669 Loss_D_fake 0.009272
[422/5000][50/535][43257] Loss_D: -0.026403 Loss_G: 0.030101 Loss_D_real: -0.030722 Loss_D_fake -0.004319
[422/5000][55/535][43258] Loss_D: -0.028388 Loss_G: 0.026522 Loss_D_real: -0.033212 Loss_D_fake -0.004824
[422/5000][60/535][43259] Loss_D: -0.027912 Loss_G: 0.028245 Loss_D_real: -0.028533 Loss_D_fake -0.000621
[422/5000][65/535][43260] Loss_D: -0.027770 Loss_G: 0.019099 Loss_D_real: -0.017675 Loss_D_fake 0.010095
[422/5000][70/535][43261] Loss_D: -0.029362 Loss_G: 0.004178 Loss_D_real: -0.017127 Loss_D_fake 0.012236
[422/5000][75/535][43262] Loss_D: -0.026745 Loss_G: 0.028049 Loss_D_real: -0.027997 Loss_D_fake -0.001252
[422/5000][80/535][43263] Loss_D: -0.027815 Loss_G: -0.015579 Loss_D_real: 0.001735 Loss_D_fake 0.029550
[422/5000][85/535][43264] Loss_D: -0.027604 Loss_G: 0.023383 Loss_D_real: -0.025732 Loss_D_fake 0.001872
[422/5000][90/535][43265] Loss_D: -0.027479 Loss_G: 0.023815 Loss_D_real: -0.023995 Loss_D_fake 0.003484
[422/5000][95/535][43266] Loss_D: -0.028112 Loss_G: 0.020616 Loss_D_real: -0.023809 Loss_D_fake 0.004303
[422/5000][100/535][43267] Loss_D: -0.027978 Loss_G: 0.011368 Loss_D_real: -0.014329 Loss_D_fake 0.013649
[422/5000][105/535][43268] Loss_D: -0.026723 Loss_G: 0.024242 Loss_D_real: -0.018602 Loss_D_fake 0.008121
[422/5000][110/535][43269] Loss_D: -0.028227 Loss_G: 0.008295 Loss_D_real: -0.011618 Loss_D_fake 0.016608
[422/5000][115/535][43270] Loss_D: -0.028655 Loss_G: 0.025238 Loss_D_real: -0.023853 Loss_D_fake 0.004801
[422/5000][120/535][43271] Loss_D: -0.028031 Loss_G: 0.023761 Loss_D_real: -0.034911 Loss_D_fake -0.006881
[422/5000][125/535][43272] Loss_D: -0.029435 Loss_G: 0.034421 Loss_D_real: -0.038539 Loss_D_fake -0.009104
[422/5000][130/535][43273] Loss_D: -0.027828 Loss_G: 0.011831 Loss_D_real: -0.013727 Loss_D_fake 0.014101
[422/5000][135/535][43274] Loss_D: -0.028485 Loss_G: 0.003822 Loss_D_real: -0.017924 Loss_D_fake 0.010561
[422/5000][140/535][43275] Loss_D: -0.029012 Loss_G: 0.003644 Loss_D_real: -0.010489 Loss_D_fake 0.018522
[422/5000][145/535][43276] Loss_D: -0.029017 Loss_G: 0.001593 Loss_D_real: -0.019673 Loss_D_fake 0.009344
[422/5000][150/535][43277] Loss_D: -0.028350 Loss_G: 0.026685 Loss_D_real: -0.029488 Loss_D_fake -0.001138
[422/5000][155/535][43278] Loss_D: -0.028040 Loss_G: 0.032075 Loss_D_real: -0.024715 Loss_D_fake 0.003325
[422/5000][160/535][43279] Loss_D: -0.029442 Loss_G: 0.015611 Loss_D_real: -0.012924 Loss_D_fake 0.016518
[422/5000][165/535][43280] Loss_D: -0.028891 Loss_G: -0.004834 Loss_D_real: -0.009002 Loss_D_fake 0.019889
[422/5000][170/535][43281] Loss_D: -0.028309 Loss_G: 0.021009 Loss_D_real: -0.026513 Loss_D_fake 0.001796
[422/5000][175/535][43282] Loss_D: -0.029423 Loss_G: 0.010121 Loss_D_real: -0.013318 Loss_D_fake 0.016105
[422/5000][180/535][43283] Loss_D: -0.028257 Loss_G: 0.012651 Loss_D_real: -0.011628 Loss_D_fake 0.016629
[422/5000][185/535][43284] Loss_D: -0.028749 Loss_G: 0.034471 Loss_D_real: -0.024720 Loss_D_fake 0.004029
[422/5000][190/535][43285] Loss_D: -0.028687 Loss_G: 0.019319 Loss_D_real: -0.020300 Loss_D_fake 0.008387
[422/5000][195/535][43286] Loss_D: -0.028506 Loss_G: 0.005988 Loss_D_real: -0.005221 Loss_D_fake 0.023285
[422/5000][200/535][43287] Loss_D: -0.027454 Loss_G: 0.002879 Loss_D_real: -0.020728 Loss_D_fake 0.006726
[422/5000][205/535][43288] Loss_D: -0.028485 Loss_G: 0.032584 Loss_D_real: -0.027322 Loss_D_fake 0.001163
[422/5000][210/535][43289] Loss_D: -0.026776 Loss_G: -0.003046 Loss_D_real: 0.004024 Loss_D_fake 0.030800
[422/5000][215/535][43290] Loss_D: -0.027591 Loss_G: 0.021055 Loss_D_real: -0.023798 Loss_D_fake 0.003793
[422/5000][220/535][43291] Loss_D: -0.027638 Loss_G: -0.001479 Loss_D_real: -0.002687 Loss_D_fake 0.024952
[422/5000][225/535][43292] Loss_D: -0.026796 Loss_G: 0.017517 Loss_D_real: -0.011068 Loss_D_fake 0.015728
[422/5000][230/535][43293] Loss_D: -0.029404 Loss_G: 0.020246 Loss_D_real: -0.026283 Loss_D_fake 0.003120
[422/5000][235/535][43294] Loss_D: -0.028782 Loss_G: 0.027040 Loss_D_real: -0.028622 Loss_D_fake 0.000160
[422/5000][240/535][43295] Loss_D: -0.027772 Loss_G: -0.008477 Loss_D_real: 0.006035 Loss_D_fake 0.033807
[422/5000][245/535][43296] Loss_D: -0.028088 Loss_G: 0.025104 Loss_D_real: -0.022309 Loss_D_fake 0.005778
[422/5000][250/535][43297] Loss_D: -0.026419 Loss_G: -0.008513 Loss_D_real: 0.000371 Loss_D_fake 0.026789
[422/5000][255/535][43298] Loss_D: -0.027653 Loss_G: 0.004213 Loss_D_real: -0.008793 Loss_D_fake 0.018860
[422/5000][260/535][43299] Loss_D: -0.028037 Loss_G: -0.006151 Loss_D_real: -0.008651 Loss_D_fake 0.019386
[422/5000][265/535][43300] Loss_D: -0.027865 Loss_G: 0.027862 Loss_D_real: -0.036690 Loss_D_fake -0.008824
[422/5000][270/535][43301] Loss_D: -0.028200 Loss_G: 0.030744 Loss_D_real: -0.029171 Loss_D_fake -0.000972
[422/5000][275/535][43302] Loss_D: -0.027315 Loss_G: 0.025514 Loss_D_real: -0.027489 Loss_D_fake -0.000174
[422/5000][280/535][43303] Loss_D: -0.028461 Loss_G: 0.011066 Loss_D_real: -0.019071 Loss_D_fake 0.009390
[422/5000][285/535][43304] Loss_D: -0.029022 Loss_G: 0.021405 Loss_D_real: -0.015945 Loss_D_fake 0.013077
[422/5000][290/535][43305] Loss_D: -0.028359 Loss_G: 0.025800 Loss_D_real: -0.024128 Loss_D_fake 0.004232
[422/5000][295/535][43306] Loss_D: -0.027719 Loss_G: 0.016713 Loss_D_real: -0.014736 Loss_D_fake 0.012983
[422/5000][300/535][43307] Loss_D: -0.029275 Loss_G: 0.014196 Loss_D_real: -0.019261 Loss_D_fake 0.010015
[422/5000][305/535][43308] Loss_D: -0.027260 Loss_G: 0.037236 Loss_D_real: -0.031210 Loss_D_fake -0.003950
[422/5000][310/535][43309] Loss_D: -0.028371 Loss_G: 0.002791 Loss_D_real: -0.019249 Loss_D_fake 0.009122
[422/5000][315/535][43310] Loss_D: -0.029928 Loss_G: 0.001862 Loss_D_real: -0.015936 Loss_D_fake 0.013992
[422/5000][320/535][43311] Loss_D: -0.029158 Loss_G: 0.012503 Loss_D_real: -0.017160 Loss_D_fake 0.011998
[422/5000][325/535][43312] Loss_D: -0.029280 Loss_G: 0.014801 Loss_D_real: -0.016067 Loss_D_fake 0.013213
[422/5000][330/535][43313] Loss_D: -0.028888 Loss_G: 0.019754 Loss_D_real: -0.007045 Loss_D_fake 0.021843
[422/5000][335/535][43314] Loss_D: -0.027213 Loss_G: -0.011835 Loss_D_real: -0.005053 Loss_D_fake 0.022160
[422/5000][340/535][43315] Loss_D: -0.028472 Loss_G: 0.024055 Loss_D_real: -0.020570 Loss_D_fake 0.007902
[422/5000][345/535][43316] Loss_D: -0.028927 Loss_G: 0.030426 Loss_D_real: -0.018694 Loss_D_fake 0.010233
[422/5000][350/535][43317] Loss_D: -0.028790 Loss_G: 0.002782 Loss_D_real: -0.013881 Loss_D_fake 0.014909
[422/5000][355/535][43318] Loss_D: -0.028706 Loss_G: -0.004438 Loss_D_real: -0.007751 Loss_D_fake 0.020956
[422/5000][360/535][43319] Loss_D: -0.026845 Loss_G: 0.030904 Loss_D_real: -0.035889 Loss_D_fake -0.009044
[422/5000][365/535][43320] Loss_D: -0.028542 Loss_G: 0.010004 Loss_D_real: -0.022135 Loss_D_fake 0.006408
[422/5000][370/535][43321] Loss_D: -0.026642 Loss_G: 0.008031 Loss_D_real: -0.016481 Loss_D_fake 0.010160
[422/5000][375/535][43322] Loss_D: -0.028828 Loss_G: 0.022614 Loss_D_real: -0.024360 Loss_D_fake 0.004468
[422/5000][380/535][43323] Loss_D: -0.028755 Loss_G: 0.018412 Loss_D_real: -0.021040 Loss_D_fake 0.007715
[422/5000][385/535][43324] Loss_D: -0.028252 Loss_G: -0.003611 Loss_D_real: -0.005575 Loss_D_fake 0.022677
[422/5000][390/535][43325] Loss_D: -0.026638 Loss_G: 0.025564 Loss_D_real: -0.026013 Loss_D_fake 0.000625
[422/5000][395/535][43326] Loss_D: -0.028509 Loss_G: 0.027369 Loss_D_real: -0.025713 Loss_D_fake 0.002796
[422/5000][400/535][43327] Loss_D: -0.026630 Loss_G: 0.014217 Loss_D_real: -0.019802 Loss_D_fake 0.006828
[422/5000][405/535][43328] Loss_D: -0.028243 Loss_G: -0.006288 Loss_D_real: -0.000791 Loss_D_fake 0.027452
[422/5000][410/535][43329] Loss_D: -0.027158 Loss_G: 0.031175 Loss_D_real: -0.032471 Loss_D_fake -0.005313
[422/5000][415/535][43330] Loss_D: -0.028008 Loss_G: -0.006699 Loss_D_real: -0.007423 Loss_D_fake 0.020585
[422/5000][420/535][43331] Loss_D: -0.026812 Loss_G: 0.027702 Loss_D_real: -0.036627 Loss_D_fake -0.009815
[422/5000][425/535][43332] Loss_D: -0.029122 Loss_G: 0.004494 Loss_D_real: -0.006521 Loss_D_fake 0.022600
[422/5000][430/535][43333] Loss_D: -0.029002 Loss_G: 0.028761 Loss_D_real: -0.029533 Loss_D_fake -0.000532
[422/5000][435/535][43334] Loss_D: -0.028340 Loss_G: 0.015157 Loss_D_real: -0.013808 Loss_D_fake 0.014532
[422/5000][440/535][43335] Loss_D: -0.026857 Loss_G: 0.018284 Loss_D_real: -0.017527 Loss_D_fake 0.009330
[422/5000][445/535][43336] Loss_D: -0.027296 Loss_G: 0.030307 Loss_D_real: -0.031627 Loss_D_fake -0.004331
[422/5000][450/535][43337] Loss_D: -0.029148 Loss_G: 0.003142 Loss_D_real: -0.016513 Loss_D_fake 0.012635
[422/5000][455/535][43338] Loss_D: -0.028712 Loss_G: 0.024785 Loss_D_real: -0.026373 Loss_D_fake 0.002338
[422/5000][460/535][43339] Loss_D: -0.028880 Loss_G: 0.021246 Loss_D_real: -0.025115 Loss_D_fake 0.003765
[422/5000][465/535][43340] Loss_D: -0.029263 Loss_G: 0.024118 Loss_D_real: -0.023577 Loss_D_fake 0.005686
[422/5000][470/535][43341] Loss_D: -0.028736 Loss_G: 0.009580 Loss_D_real: -0.008648 Loss_D_fake 0.020088
[422/5000][475/535][43342] Loss_D: -0.028107 Loss_G: 0.019038 Loss_D_real: -0.026100 Loss_D_fake 0.002007
[422/5000][480/535][43343] Loss_D: -0.026931 Loss_G: 0.007034 Loss_D_real: -0.015361 Loss_D_fake 0.011571
[422/5000][485/535][43344] Loss_D: -0.025978 Loss_G: 0.032782 Loss_D_real: -0.037834 Loss_D_fake -0.011856
[422/5000][490/535][43345] Loss_D: -0.028640 Loss_G: -0.002760 Loss_D_real: -0.018805 Loss_D_fake 0.009835
[422/5000][495/535][43346] Loss_D: -0.028251 Loss_G: 0.015531 Loss_D_real: -0.023164 Loss_D_fake 0.005087
[422/5000][500/535][43347] Loss_D: -0.029284 Loss_G: 0.002778 Loss_D_real: -0.007291 Loss_D_fake 0.021994
[422/5000][505/535][43348] Loss_D: -0.027018 Loss_G: 0.019810 Loss_D_real: -0.023663 Loss_D_fake 0.003355
[422/5000][510/535][43349] Loss_D: -0.029050 Loss_G: 0.011729 Loss_D_real: -0.022924 Loss_D_fake 0.006126
[422/5000][515/535][43350] Loss_D: -0.029186 Loss_G: 0.014011 Loss_D_real: -0.019857 Loss_D_fake 0.009328
[422/5000][520/535][43351] Loss_D: -0.028377 Loss_G: 0.043823 Loss_D_real: -0.028921 Loss_D_fake -0.000544
[422/5000][525/535][43352] Loss_D: -0.029361 Loss_G: 0.013157 Loss_D_real: -0.018685 Loss_D_fake 0.010676
[422/5000][530/535][43353] Loss_D: -0.030270 Loss_G: 0.014553 Loss_D_real: -0.017057 Loss_D_fake 0.013213
[422/5000][535/535][43354] Loss_D: -0.027228 Loss_G: 0.025516 Loss_D_real: -0.018621 Loss_D_fake 0.008607
[423/5000][5/535][43355] Loss_D: -0.027442 Loss_G: 0.004177 Loss_D_real: -0.016899 Loss_D_fake 0.010543
[423/5000][10/535][43356] Loss_D: -0.028676 Loss_G: -0.006958 Loss_D_real: -0.006591 Loss_D_fake 0.022085
[423/5000][15/535][43357] Loss_D: -0.027886 Loss_G: 0.021390 Loss_D_real: -0.027365 Loss_D_fake 0.000521
[423/5000][20/535][43358] Loss_D: -0.028964 Loss_G: 0.023504 Loss_D_real: -0.021721 Loss_D_fake 0.007243
[423/5000][25/535][43359] Loss_D: -0.028484 Loss_G: 0.018797 Loss_D_real: -0.028869 Loss_D_fake -0.000385
[423/5000][30/535][43360] Loss_D: -0.028343 Loss_G: 0.031363 Loss_D_real: -0.031191 Loss_D_fake -0.002848
[423/5000][35/535][43361] Loss_D: -0.029399 Loss_G: 0.004942 Loss_D_real: -0.017953 Loss_D_fake 0.011446
[423/5000][40/535][43362] Loss_D: -0.028929 Loss_G: 0.020649 Loss_D_real: -0.017825 Loss_D_fake 0.011104
[423/5000][45/535][43363] Loss_D: -0.028560 Loss_G: 0.015302 Loss_D_real: -0.017164 Loss_D_fake 0.011397
[423/5000][50/535][43364] Loss_D: -0.029782 Loss_G: 0.013249 Loss_D_real: -0.021421 Loss_D_fake 0.008360
[423/5000][55/535][43365] Loss_D: -0.029375 Loss_G: 0.018910 Loss_D_real: -0.027197 Loss_D_fake 0.002177
[423/5000][60/535][43366] Loss_D: -0.028812 Loss_G: 0.021313 Loss_D_real: -0.020346 Loss_D_fake 0.008467
[423/5000][65/535][43367] Loss_D: -0.027756 Loss_G: 0.015047 Loss_D_real: -0.022114 Loss_D_fake 0.005641
[423/5000][70/535][43368] Loss_D: -0.028722 Loss_G: 0.014391 Loss_D_real: -0.021916 Loss_D_fake 0.006806
[423/5000][75/535][43369] Loss_D: -0.027920 Loss_G: -0.004593 Loss_D_real: -0.015503 Loss_D_fake 0.012417
[423/5000][80/535][43370] Loss_D: -0.027818 Loss_G: 0.028013 Loss_D_real: -0.021026 Loss_D_fake 0.006793
[423/5000][85/535][43371] Loss_D: -0.028151 Loss_G: 0.002149 Loss_D_real: -0.006241 Loss_D_fake 0.021910
[423/5000][90/535][43372] Loss_D: -0.027171 Loss_G: 0.000862 Loss_D_real: -0.000202 Loss_D_fake 0.026969
[423/5000][95/535][43373] Loss_D: -0.026891 Loss_G: 0.029274 Loss_D_real: -0.025447 Loss_D_fake 0.001444
[423/5000][100/535][43374] Loss_D: -0.028232 Loss_G: 0.002253 Loss_D_real: -0.002948 Loss_D_fake 0.025284
[423/5000][105/535][43375] Loss_D: -0.028705 Loss_G: 0.018024 Loss_D_real: -0.022039 Loss_D_fake 0.006665
[423/5000][110/535][43376] Loss_D: -0.028693 Loss_G: 0.029499 Loss_D_real: -0.029346 Loss_D_fake -0.000653
[423/5000][115/535][43377] Loss_D: -0.028258 Loss_G: 0.005271 Loss_D_real: -0.012664 Loss_D_fake 0.015594
[423/5000][120/535][43378] Loss_D: -0.028336 Loss_G: 0.004042 Loss_D_real: -0.000938 Loss_D_fake 0.027398
[423/5000][125/535][43379] Loss_D: -0.028320 Loss_G: 0.003815 Loss_D_real: -0.019065 Loss_D_fake 0.009255
[423/5000][130/535][43380] Loss_D: -0.027544 Loss_G: 0.016001 Loss_D_real: -0.029102 Loss_D_fake -0.001559
[423/5000][135/535][43381] Loss_D: -0.028491 Loss_G: 0.012876 Loss_D_real: -0.025263 Loss_D_fake 0.003228
[423/5000][140/535][43382] Loss_D: -0.028270 Loss_G: 0.002006 Loss_D_real: -0.006293 Loss_D_fake 0.021977
[423/5000][145/535][43383] Loss_D: -0.027316 Loss_G: 0.000828 Loss_D_real: -0.011668 Loss_D_fake 0.015648
[423/5000][150/535][43384] Loss_D: -0.027478 Loss_G: 0.028849 Loss_D_real: -0.020254 Loss_D_fake 0.007224
[423/5000][155/535][43385] Loss_D: -0.029516 Loss_G: 0.013960 Loss_D_real: -0.015627 Loss_D_fake 0.013888
[423/5000][160/535][43386] Loss_D: -0.029401 Loss_G: 0.007640 Loss_D_real: -0.016692 Loss_D_fake 0.012710
[423/5000][165/535][43387] Loss_D: -0.029516 Loss_G: 0.012320 Loss_D_real: -0.014161 Loss_D_fake 0.015355
[423/5000][170/535][43388] Loss_D: -0.027037 Loss_G: 0.026199 Loss_D_real: -0.040086 Loss_D_fake -0.013049
[423/5000][175/535][43389] Loss_D: -0.030002 Loss_G: -0.005163 Loss_D_real: -0.020207 Loss_D_fake 0.009795
[423/5000][180/535][43390] Loss_D: -0.026701 Loss_G: 0.029604 Loss_D_real: -0.035531 Loss_D_fake -0.008831
[423/5000][185/535][43391] Loss_D: -0.027449 Loss_G: 0.014477 Loss_D_real: -0.009800 Loss_D_fake 0.017649
[423/5000][190/535][43392] Loss_D: -0.028812 Loss_G: 0.007277 Loss_D_real: -0.018472 Loss_D_fake 0.010339
[423/5000][195/535][43393] Loss_D: -0.027265 Loss_G: 0.025722 Loss_D_real: -0.031638 Loss_D_fake -0.004372
[423/5000][200/535][43394] Loss_D: -0.029603 Loss_G: 0.005820 Loss_D_real: -0.010278 Loss_D_fake 0.019325
[423/5000][205/535][43395] Loss_D: -0.028810 Loss_G: 0.008016 Loss_D_real: -0.019704 Loss_D_fake 0.009106
[423/5000][210/535][43396] Loss_D: -0.026779 Loss_G: 0.018028 Loss_D_real: -0.019241 Loss_D_fake 0.007538
[423/5000][215/535][43397] Loss_D: -0.026733 Loss_G: -0.006069 Loss_D_real: -0.001864 Loss_D_fake 0.024870
[423/5000][220/535][43398] Loss_D: -0.027619 Loss_G: 0.010895 Loss_D_real: -0.022115 Loss_D_fake 0.005503
[423/5000][225/535][43399] Loss_D: -0.027192 Loss_G: 0.030139 Loss_D_real: -0.030393 Loss_D_fake -0.003200
[423/5000][230/535][43400] Loss_D: -0.026594 Loss_G: 0.026536 Loss_D_real: -0.024309 Loss_D_fake 0.002285
[423/5000][235/535][43401] Loss_D: -0.027905 Loss_G: 0.000501 Loss_D_real: -0.012541 Loss_D_fake 0.015364
[423/5000][240/535][43402] Loss_D: -0.028612 Loss_G: -0.003494 Loss_D_real: -0.009093 Loss_D_fake 0.019520
[423/5000][245/535][43403] Loss_D: -0.029411 Loss_G: 0.029653 Loss_D_real: -0.024439 Loss_D_fake 0.004972
[423/5000][250/535][43404] Loss_D: -0.028503 Loss_G: 0.009909 Loss_D_real: -0.013515 Loss_D_fake 0.014988
[423/5000][255/535][43405] Loss_D: -0.029580 Loss_G: 0.021317 Loss_D_real: -0.022340 Loss_D_fake 0.007240
[423/5000][260/535][43406] Loss_D: -0.028438 Loss_G: 0.008215 Loss_D_real: -0.010855 Loss_D_fake 0.017583
[423/5000][265/535][43407] Loss_D: -0.029992 Loss_G: 0.016695 Loss_D_real: -0.014912 Loss_D_fake 0.015079
[423/5000][270/535][43408] Loss_D: -0.029674 Loss_G: 0.014515 Loss_D_real: -0.014774 Loss_D_fake 0.014900
[423/5000][275/535][43409] Loss_D: -0.027816 Loss_G: -0.012179 Loss_D_real: 0.003606 Loss_D_fake 0.031422
[423/5000][280/535][43410] Loss_D: -0.027723 Loss_G: 0.028446 Loss_D_real: -0.031196 Loss_D_fake -0.003473
[423/5000][285/535][43411] Loss_D: -0.027953 Loss_G: 0.023847 Loss_D_real: -0.024769 Loss_D_fake 0.003183
[423/5000][290/535][43412] Loss_D: -0.030051 Loss_G: 0.003039 Loss_D_real: -0.013518 Loss_D_fake 0.016533
[423/5000][295/535][43413] Loss_D: -0.027754 Loss_G: 0.006627 Loss_D_real: -0.011961 Loss_D_fake 0.015793
[423/5000][300/535][43414] Loss_D: -0.028430 Loss_G: 0.015046 Loss_D_real: -0.028769 Loss_D_fake -0.000340
[423/5000][305/535][43415] Loss_D: -0.028319 Loss_G: 0.025534 Loss_D_real: -0.019387 Loss_D_fake 0.008932
[423/5000][310/535][43416] Loss_D: -0.027708 Loss_G: 0.021167 Loss_D_real: -0.024963 Loss_D_fake 0.002745
[423/5000][315/535][43417] Loss_D: -0.030076 Loss_G: 0.016956 Loss_D_real: -0.023480 Loss_D_fake 0.006596
[423/5000][320/535][43418] Loss_D: -0.029038 Loss_G: 0.025824 Loss_D_real: -0.023253 Loss_D_fake 0.005785
[423/5000][325/535][43419] Loss_D: -0.028106 Loss_G: 0.041277 Loss_D_real: -0.029250 Loss_D_fake -0.001143
[423/5000][330/535][43420] Loss_D: -0.028426 Loss_G: 0.005443 Loss_D_real: -0.003599 Loss_D_fake 0.024827
[423/5000][335/535][43421] Loss_D: -0.027165 Loss_G: 0.036669 Loss_D_real: -0.042260 Loss_D_fake -0.015095
[423/5000][340/535][43422] Loss_D: -0.030048 Loss_G: 0.010291 Loss_D_real: -0.022738 Loss_D_fake 0.007310
[423/5000][345/535][43423] Loss_D: -0.030426 Loss_G: -0.005518 Loss_D_real: -0.013988 Loss_D_fake 0.016438
[423/5000][350/535][43424] Loss_D: -0.027868 Loss_G: 0.023119 Loss_D_real: -0.019284 Loss_D_fake 0.008584
[423/5000][355/535][43425] Loss_D: -0.028556 Loss_G: 0.031848 Loss_D_real: -0.031357 Loss_D_fake -0.002802
[423/5000][360/535][43426] Loss_D: -0.028501 Loss_G: 0.028060 Loss_D_real: -0.030781 Loss_D_fake -0.002279
[423/5000][365/535][43427] Loss_D: -0.028986 Loss_G: 0.014296 Loss_D_real: -0.014824 Loss_D_fake 0.014162
[423/5000][370/535][43428] Loss_D: -0.026546 Loss_G: 0.031240 Loss_D_real: -0.035953 Loss_D_fake -0.009407
[423/5000][375/535][43429] Loss_D: -0.028267 Loss_G: 0.005620 Loss_D_real: -0.008964 Loss_D_fake 0.019302
[423/5000][380/535][43430] Loss_D: -0.028111 Loss_G: 0.010847 Loss_D_real: -0.022809 Loss_D_fake 0.005302
[423/5000][385/535][43431] Loss_D: -0.027810 Loss_G: 0.026343 Loss_D_real: -0.030242 Loss_D_fake -0.002431
[423/5000][390/535][43432] Loss_D: -0.028265 Loss_G: 0.018969 Loss_D_real: -0.025632 Loss_D_fake 0.002633
[423/5000][395/535][43433] Loss_D: -0.028502 Loss_G: 0.019394 Loss_D_real: -0.024746 Loss_D_fake 0.003756
[423/5000][400/535][43434] Loss_D: -0.028767 Loss_G: 0.014490 Loss_D_real: -0.026948 Loss_D_fake 0.001818
[423/5000][405/535][43435] Loss_D: -0.026251 Loss_G: -0.020467 Loss_D_real: 0.004256 Loss_D_fake 0.030508
[423/5000][410/535][43436] Loss_D: -0.027051 Loss_G: 0.020457 Loss_D_real: -0.015945 Loss_D_fake 0.011106
[423/5000][415/535][43437] Loss_D: -0.026366 Loss_G: -0.014374 Loss_D_real: 0.000854 Loss_D_fake 0.027220
[423/5000][420/535][43438] Loss_D: -0.026911 Loss_G: 0.017601 Loss_D_real: -0.017908 Loss_D_fake 0.009003
[423/5000][425/535][43439] Loss_D: -0.027710 Loss_G: 0.029704 Loss_D_real: -0.030167 Loss_D_fake -0.002457
[423/5000][430/535][43440] Loss_D: -0.028520 Loss_G: 0.005448 Loss_D_real: -0.017161 Loss_D_fake 0.011359
[423/5000][435/535][43441] Loss_D: -0.028242 Loss_G: 0.028536 Loss_D_real: -0.027060 Loss_D_fake 0.001183
[423/5000][440/535][43442] Loss_D: -0.028614 Loss_G: 0.018122 Loss_D_real: -0.023037 Loss_D_fake 0.005576
[423/5000][445/535][43443] Loss_D: -0.028173 Loss_G: -0.003893 Loss_D_real: -0.005435 Loss_D_fake 0.022738
[423/5000][450/535][43444] Loss_D: -0.026951 Loss_G: 0.027210 Loss_D_real: -0.027578 Loss_D_fake -0.000627
[423/5000][455/535][43445] Loss_D: -0.026880 Loss_G: -0.014600 Loss_D_real: 0.002084 Loss_D_fake 0.028965
[423/5000][460/535][43446] Loss_D: -0.027477 Loss_G: 0.004977 Loss_D_real: -0.004250 Loss_D_fake 0.023227
[423/5000][465/535][43447] Loss_D: -0.028121 Loss_G: 0.009259 Loss_D_real: -0.023946 Loss_D_fake 0.004175
[423/5000][470/535][43448] Loss_D: -0.026619 Loss_G: 0.015136 Loss_D_real: -0.029279 Loss_D_fake -0.002660
[423/5000][475/535][43449] Loss_D: -0.029347 Loss_G: 0.012813 Loss_D_real: -0.017590 Loss_D_fake 0.011757
[423/5000][480/535][43450] Loss_D: -0.028825 Loss_G: 0.026755 Loss_D_real: -0.027537 Loss_D_fake 0.001288
[423/5000][485/535][43451] Loss_D: -0.029188 Loss_G: 0.013749 Loss_D_real: -0.021067 Loss_D_fake 0.008121
[423/5000][490/535][43452] Loss_D: -0.027102 Loss_G: -0.000080 Loss_D_real: -0.011240 Loss_D_fake 0.015862
[423/5000][495/535][43453] Loss_D: -0.027103 Loss_G: -0.007554 Loss_D_real: -0.003207 Loss_D_fake 0.023896
[423/5000][500/535][43454] Loss_D: -0.027729 Loss_G: 0.022472 Loss_D_real: -0.032284 Loss_D_fake -0.004555
[423/5000][505/535][43455] Loss_D: -0.028787 Loss_G: -0.001888 Loss_D_real: -0.001441 Loss_D_fake 0.027346
[423/5000][510/535][43456] Loss_D: -0.028065 Loss_G: 0.021435 Loss_D_real: -0.019253 Loss_D_fake 0.008811
[423/5000][515/535][43457] Loss_D: -0.028229 Loss_G: 0.010551 Loss_D_real: -0.020261 Loss_D_fake 0.007967
[423/5000][520/535][43458] Loss_D: -0.027160 Loss_G: 0.026361 Loss_D_real: -0.024764 Loss_D_fake 0.002395
[423/5000][525/535][43459] Loss_D: -0.027057 Loss_G: 0.026241 Loss_D_real: -0.028593 Loss_D_fake -0.001536
[423/5000][530/535][43460] Loss_D: -0.027022 Loss_G: -0.013508 Loss_D_real: 0.002283 Loss_D_fake 0.029305
[423/5000][535/535][43461] Loss_D: -0.024926 Loss_G: 0.048504 Loss_D_real: -0.021590 Loss_D_fake 0.003336
[424/5000][5/535][43462] Loss_D: -0.027847 Loss_G: 0.012190 Loss_D_real: -0.025849 Loss_D_fake 0.001998
[424/5000][10/535][43463] Loss_D: -0.028627 Loss_G: 0.005623 Loss_D_real: -0.006990 Loss_D_fake 0.021637
[424/5000][15/535][43464] Loss_D: -0.028163 Loss_G: 0.005703 Loss_D_real: -0.007495 Loss_D_fake 0.020668
[424/5000][20/535][43465] Loss_D: -0.028352 Loss_G: 0.014238 Loss_D_real: -0.025714 Loss_D_fake 0.002638
[424/5000][25/535][43466] Loss_D: -0.028714 Loss_G: -0.003144 Loss_D_real: -0.007651 Loss_D_fake 0.021064
[424/5000][30/535][43467] Loss_D: -0.028148 Loss_G: 0.020502 Loss_D_real: -0.026638 Loss_D_fake 0.001510
[424/5000][35/535][43468] Loss_D: -0.027000 Loss_G: 0.027268 Loss_D_real: -0.024165 Loss_D_fake 0.002835
[424/5000][40/535][43469] Loss_D: -0.028370 Loss_G: 0.018527 Loss_D_real: -0.022495 Loss_D_fake 0.005875
[424/5000][45/535][43470] Loss_D: -0.029497 Loss_G: 0.025352 Loss_D_real: -0.018677 Loss_D_fake 0.010820
[424/5000][50/535][43471] Loss_D: -0.029864 Loss_G: 0.024508 Loss_D_real: -0.027435 Loss_D_fake 0.002429
[424/5000][55/535][43472] Loss_D: -0.029482 Loss_G: 0.017391 Loss_D_real: -0.011772 Loss_D_fake 0.017710
[424/5000][60/535][43473] Loss_D: -0.028505 Loss_G: 0.001612 Loss_D_real: -0.007619 Loss_D_fake 0.020887
[424/5000][65/535][43474] Loss_D: -0.028535 Loss_G: 0.010816 Loss_D_real: -0.020586 Loss_D_fake 0.007949
[424/5000][70/535][43475] Loss_D: -0.026967 Loss_G: 0.042197 Loss_D_real: -0.037348 Loss_D_fake -0.010381
[424/5000][75/535][43476] Loss_D: -0.029408 Loss_G: -0.004202 Loss_D_real: -0.000726 Loss_D_fake 0.028682
[424/5000][80/535][43477] Loss_D: -0.026776 Loss_G: 0.027152 Loss_D_real: -0.039931 Loss_D_fake -0.013154
[424/5000][85/535][43478] Loss_D: -0.029048 Loss_G: 0.022172 Loss_D_real: -0.022855 Loss_D_fake 0.006193
[424/5000][90/535][43479] Loss_D: -0.026982 Loss_G: 0.041083 Loss_D_real: -0.027038 Loss_D_fake -0.000056
[424/5000][95/535][43480] Loss_D: -0.028497 Loss_G: 0.020953 Loss_D_real: -0.021696 Loss_D_fake 0.006801
[424/5000][100/535][43481] Loss_D: -0.027511 Loss_G: 0.002805 Loss_D_real: -0.000107 Loss_D_fake 0.027404
[424/5000][105/535][43482] Loss_D: -0.028304 Loss_G: 0.009717 Loss_D_real: -0.014849 Loss_D_fake 0.013455
[424/5000][110/535][43483] Loss_D: -0.028368 Loss_G: 0.000123 Loss_D_real: -0.009459 Loss_D_fake 0.018909
[424/5000][115/535][43484] Loss_D: -0.027630 Loss_G: 0.012934 Loss_D_real: -0.011334 Loss_D_fake 0.016295
[424/5000][120/535][43485] Loss_D: -0.026893 Loss_G: 0.010762 Loss_D_real: -0.019436 Loss_D_fake 0.007457
[424/5000][125/535][43486] Loss_D: -0.028780 Loss_G: 0.023960 Loss_D_real: -0.024119 Loss_D_fake 0.004661
[424/5000][130/535][43487] Loss_D: -0.029778 Loss_G: 0.022066 Loss_D_real: -0.023098 Loss_D_fake 0.006680
[424/5000][135/535][43488] Loss_D: -0.029043 Loss_G: -0.008812 Loss_D_real: -0.004995 Loss_D_fake 0.024048
[424/5000][140/535][43489] Loss_D: -0.028339 Loss_G: -0.003398 Loss_D_real: -0.005728 Loss_D_fake 0.022611
[424/5000][145/535][43490] Loss_D: -0.026764 Loss_G: -0.013904 Loss_D_real: -0.005216 Loss_D_fake 0.021548
[424/5000][150/535][43491] Loss_D: -0.028814 Loss_G: 0.023016 Loss_D_real: -0.025005 Loss_D_fake 0.003809
[424/5000][155/535][43492] Loss_D: -0.028768 Loss_G: 0.027830 Loss_D_real: -0.026524 Loss_D_fake 0.002244
[424/5000][160/535][43493] Loss_D: -0.029865 Loss_G: -0.000252 Loss_D_real: -0.005400 Loss_D_fake 0.024465
[424/5000][165/535][43494] Loss_D: -0.029922 Loss_G: 0.020853 Loss_D_real: -0.017801 Loss_D_fake 0.012121
[424/5000][170/535][43495] Loss_D: -0.029142 Loss_G: 0.035258 Loss_D_real: -0.029405 Loss_D_fake -0.000263
[424/5000][175/535][43496] Loss_D: -0.027924 Loss_G: 0.017652 Loss_D_real: -0.020361 Loss_D_fake 0.007563
[424/5000][180/535][43497] Loss_D: -0.027852 Loss_G: -0.003532 Loss_D_real: -0.006368 Loss_D_fake 0.021484
[424/5000][185/535][43498] Loss_D: -0.029422 Loss_G: 0.010916 Loss_D_real: -0.012284 Loss_D_fake 0.017138
[424/5000][190/535][43499] Loss_D: -0.027765 Loss_G: 0.001332 Loss_D_real: -0.011421 Loss_D_fake 0.016344
[424/5000][195/535][43500] Loss_D: -0.028193 Loss_G: 0.025995 Loss_D_real: -0.024439 Loss_D_fake 0.003754
[424/5000][295/535][43501] Loss_D: -0.031967 Loss_G: 0.009786 Loss_D_real: -0.007831 Loss_D_fake 0.024136
[424/5000][300/535][43502] Loss_D: -0.026836 Loss_G: 0.031388 Loss_D_real: -0.021245 Loss_D_fake 0.005591
[424/5000][305/535][43503] Loss_D: -0.026300 Loss_G: 0.015948 Loss_D_real: -0.018380 Loss_D_fake 0.007920
[424/5000][310/535][43504] Loss_D: -0.026413 Loss_G: 0.006210 Loss_D_real: -0.010633 Loss_D_fake 0.015780
[424/5000][315/535][43505] Loss_D: -0.025517 Loss_G: 0.021758 Loss_D_real: -0.020068 Loss_D_fake 0.005449
[424/5000][320/535][43506] Loss_D: -0.027754 Loss_G: 0.002336 Loss_D_real: -0.009614 Loss_D_fake 0.018140
[424/5000][325/535][43507] Loss_D: -0.028142 Loss_G: 0.014086 Loss_D_real: -0.031796 Loss_D_fake -0.003655
[424/5000][330/535][43508] Loss_D: -0.027467 Loss_G: 0.036330 Loss_D_real: -0.035022 Loss_D_fake -0.007556
[424/5000][335/535][43509] Loss_D: -0.027756 Loss_G: 0.014933 Loss_D_real: -0.009669 Loss_D_fake 0.018087
[424/5000][340/535][43510] Loss_D: -0.027056 Loss_G: 0.025441 Loss_D_real: -0.024645 Loss_D_fake 0.002411
[424/5000][345/535][43511] Loss_D: -0.028321 Loss_G: -0.000661 Loss_D_real: -0.001428 Loss_D_fake 0.026893
[424/5000][350/535][43512] Loss_D: -0.026712 Loss_G: 0.016048 Loss_D_real: -0.014635 Loss_D_fake 0.012077
[424/5000][355/535][43513] Loss_D: -0.027156 Loss_G: 0.013870 Loss_D_real: -0.027640 Loss_D_fake -0.000485
[424/5000][360/535][43514] Loss_D: -0.028097 Loss_G: 0.010962 Loss_D_real: -0.025026 Loss_D_fake 0.003070
[424/5000][365/535][43515] Loss_D: -0.028508 Loss_G: 0.037082 Loss_D_real: -0.031935 Loss_D_fake -0.003427
[424/5000][370/535][43516] Loss_D: -0.027322 Loss_G: -0.006396 Loss_D_real: -0.007558 Loss_D_fake 0.019764
[424/5000][375/535][43517] Loss_D: -0.026677 Loss_G: 0.005776 Loss_D_real: -0.012865 Loss_D_fake 0.013812
[424/5000][380/535][43518] Loss_D: -0.028910 Loss_G: 0.008759 Loss_D_real: -0.015227 Loss_D_fake 0.013684
[424/5000][385/535][43519] Loss_D: -0.026802 Loss_G: -0.008560 Loss_D_real: -0.000855 Loss_D_fake 0.025947
[424/5000][390/535][43520] Loss_D: -0.027153 Loss_G: 0.012224 Loss_D_real: -0.018825 Loss_D_fake 0.008328
[424/5000][395/535][43521] Loss_D: -0.027076 Loss_G: 0.017191 Loss_D_real: -0.022512 Loss_D_fake 0.004565
[424/5000][400/535][43522] Loss_D: -0.029146 Loss_G: 0.018424 Loss_D_real: -0.022896 Loss_D_fake 0.006251
[424/5000][405/535][43523] Loss_D: -0.028638 Loss_G: 0.009382 Loss_D_real: -0.024038 Loss_D_fake 0.004600
[424/5000][410/535][43524] Loss_D: -0.028869 Loss_G: 0.012850 Loss_D_real: -0.022460 Loss_D_fake 0.006409
[424/5000][415/535][43525] Loss_D: -0.028108 Loss_G: -0.000585 Loss_D_real: -0.016294 Loss_D_fake 0.011815
[424/5000][420/535][43526] Loss_D: -0.027606 Loss_G: 0.037746 Loss_D_real: -0.029746 Loss_D_fake -0.002140
[424/5000][425/535][43527] Loss_D: -0.027847 Loss_G: 0.003897 Loss_D_real: -0.012375 Loss_D_fake 0.015472
[424/5000][430/535][43528] Loss_D: -0.027373 Loss_G: 0.016778 Loss_D_real: -0.020347 Loss_D_fake 0.007027
[424/5000][435/535][43529] Loss_D: -0.026651 Loss_G: 0.003061 Loss_D_real: -0.010965 Loss_D_fake 0.015686
[424/5000][440/535][43530] Loss_D: -0.027008 Loss_G: 0.032153 Loss_D_real: -0.019965 Loss_D_fake 0.007043
[424/5000][445/535][43531] Loss_D: -0.027910 Loss_G: 0.023945 Loss_D_real: -0.022128 Loss_D_fake 0.005782
[424/5000][450/535][43532] Loss_D: -0.028614 Loss_G: 0.003884 Loss_D_real: -0.013771 Loss_D_fake 0.014843
[424/5000][455/535][43533] Loss_D: -0.027508 Loss_G: -0.013165 Loss_D_real: -0.004570 Loss_D_fake 0.022938
[424/5000][460/535][43534] Loss_D: -0.027511 Loss_G: 0.009915 Loss_D_real: -0.020426 Loss_D_fake 0.007085
[424/5000][465/535][43535] Loss_D: -0.028838 Loss_G: 0.016169 Loss_D_real: -0.017110 Loss_D_fake 0.011727
[424/5000][470/535][43536] Loss_D: -0.027887 Loss_G: 0.016840 Loss_D_real: -0.024820 Loss_D_fake 0.003068
[424/5000][475/535][43537] Loss_D: -0.028715 Loss_G: 0.033193 Loss_D_real: -0.035893 Loss_D_fake -0.007178
[424/5000][480/535][43538] Loss_D: -0.027340 Loss_G: 0.008486 Loss_D_real: -0.009097 Loss_D_fake 0.018242
[424/5000][485/535][43539] Loss_D: -0.029381 Loss_G: 0.010020 Loss_D_real: -0.016855 Loss_D_fake 0.012526
[424/5000][490/535][43540] Loss_D: -0.028067 Loss_G: 0.001819 Loss_D_real: -0.008668 Loss_D_fake 0.019399
[424/5000][495/535][43541] Loss_D: -0.029012 Loss_G: 0.026360 Loss_D_real: -0.028530 Loss_D_fake 0.000482
[424/5000][500/535][43542] Loss_D: -0.028111 Loss_G: 0.009764 Loss_D_real: -0.011778 Loss_D_fake 0.016333
[424/5000][505/535][43543] Loss_D: -0.030416 Loss_G: 0.019027 Loss_D_real: -0.019718 Loss_D_fake 0.010698
[424/5000][510/535][43544] Loss_D: -0.028399 Loss_G: -0.006257 Loss_D_real: -0.011658 Loss_D_fake 0.016741
[424/5000][515/535][43545] Loss_D: -0.029024 Loss_G: 0.010748 Loss_D_real: -0.021073 Loss_D_fake 0.007951
[424/5000][520/535][43546] Loss_D: -0.027688 Loss_G: 0.020769 Loss_D_real: -0.028170 Loss_D_fake -0.000482
[424/5000][525/535][43547] Loss_D: -0.027628 Loss_G: 0.028303 Loss_D_real: -0.024167 Loss_D_fake 0.003461
[424/5000][530/535][43548] Loss_D: -0.029980 Loss_G: 0.029208 Loss_D_real: -0.021238 Loss_D_fake 0.008742
[424/5000][535/535][43549] Loss_D: -0.026841 Loss_G: 0.018330 Loss_D_real: -0.028482 Loss_D_fake -0.001642
[425/5000][5/535][43550] Loss_D: -0.030175 Loss_G: 0.025791 Loss_D_real: -0.023636 Loss_D_fake 0.006539
[425/5000][10/535][43551] Loss_D: -0.028103 Loss_G: -0.008731 Loss_D_real: -0.011332 Loss_D_fake 0.016771
[425/5000][15/535][43552] Loss_D: -0.026448 Loss_G: 0.037840 Loss_D_real: -0.034545 Loss_D_fake -0.008098
[425/5000][20/535][43553] Loss_D: -0.026365 Loss_G: -0.004595 Loss_D_real: -0.001589 Loss_D_fake 0.024776
[425/5000][25/535][43554] Loss_D: -0.027729 Loss_G: 0.020782 Loss_D_real: -0.025032 Loss_D_fake 0.002696
[425/5000][30/535][43555] Loss_D: -0.027784 Loss_G: 0.017942 Loss_D_real: -0.025779 Loss_D_fake 0.002005
[425/5000][35/535][43556] Loss_D: -0.029436 Loss_G: 0.004105 Loss_D_real: -0.010920 Loss_D_fake 0.018515
[425/5000][40/535][43557] Loss_D: -0.027431 Loss_G: 0.008442 Loss_D_real: -0.010729 Loss_D_fake 0.016702
[425/5000][45/535][43558] Loss_D: -0.028489 Loss_G: 0.008841 Loss_D_real: -0.013206 Loss_D_fake 0.015283
[425/5000][50/535][43559] Loss_D: -0.028830 Loss_G: 0.030214 Loss_D_real: -0.028766 Loss_D_fake 0.000063
[425/5000][55/535][43560] Loss_D: -0.029237 Loss_G: 0.026841 Loss_D_real: -0.036362 Loss_D_fake -0.007126
[425/5000][60/535][43561] Loss_D: -0.027714 Loss_G: 0.021069 Loss_D_real: -0.025114 Loss_D_fake 0.002600
[425/5000][65/535][43562] Loss_D: -0.028680 Loss_G: 0.034940 Loss_D_real: -0.034958 Loss_D_fake -0.006278
[425/5000][70/535][43563] Loss_D: -0.028906 Loss_G: 0.031839 Loss_D_real: -0.027044 Loss_D_fake 0.001862
[425/5000][75/535][43564] Loss_D: -0.029381 Loss_G: 0.003471 Loss_D_real: -0.017662 Loss_D_fake 0.011719
[425/5000][80/535][43565] Loss_D: -0.029147 Loss_G: 0.005395 Loss_D_real: -0.015476 Loss_D_fake 0.013670
[425/5000][85/535][43566] Loss_D: -0.027726 Loss_G: 0.006859 Loss_D_real: -0.013812 Loss_D_fake 0.013914
[425/5000][90/535][43567] Loss_D: -0.028806 Loss_G: 0.023572 Loss_D_real: -0.029253 Loss_D_fake -0.000447
[425/5000][95/535][43568] Loss_D: -0.027960 Loss_G: 0.013183 Loss_D_real: -0.027537 Loss_D_fake 0.000423
[425/5000][100/535][43569] Loss_D: -0.030249 Loss_G: 0.021373 Loss_D_real: -0.023401 Loss_D_fake 0.006848
[425/5000][105/535][43570] Loss_D: -0.027847 Loss_G: 0.031999 Loss_D_real: -0.028670 Loss_D_fake -0.000823
[425/5000][110/535][43571] Loss_D: -0.029205 Loss_G: 0.016858 Loss_D_real: -0.017300 Loss_D_fake 0.011905
[425/5000][115/535][43572] Loss_D: -0.027956 Loss_G: -0.002328 Loss_D_real: -0.015022 Loss_D_fake 0.012934
[425/5000][120/535][43573] Loss_D: -0.028699 Loss_G: -0.003425 Loss_D_real: -0.009957 Loss_D_fake 0.018742
[425/5000][125/535][43574] Loss_D: -0.026430 Loss_G: 0.023415 Loss_D_real: -0.023442 Loss_D_fake 0.002989
[425/5000][130/535][43575] Loss_D: -0.027787 Loss_G: 0.000454 Loss_D_real: -0.003933 Loss_D_fake 0.023854
[425/5000][135/535][43576] Loss_D: -0.027809 Loss_G: 0.027729 Loss_D_real: -0.026042 Loss_D_fake 0.001767
[425/5000][140/535][43577] Loss_D: -0.027944 Loss_G: -0.002580 Loss_D_real: -0.008699 Loss_D_fake 0.019245
[425/5000][145/535][43578] Loss_D: -0.027713 Loss_G: 0.011002 Loss_D_real: -0.011243 Loss_D_fake 0.016470
[425/5000][150/535][43579] Loss_D: -0.026992 Loss_G: -0.011238 Loss_D_real: -0.004918 Loss_D_fake 0.022074
[425/5000][155/535][43580] Loss_D: -0.026995 Loss_G: 0.025912 Loss_D_real: -0.030662 Loss_D_fake -0.003667
[425/5000][160/535][43581] Loss_D: -0.025626 Loss_G: 0.011071 Loss_D_real: -0.015775 Loss_D_fake 0.009851
[425/5000][165/535][43582] Loss_D: -0.026796 Loss_G: 0.010271 Loss_D_real: -0.016802 Loss_D_fake 0.009993
[425/5000][170/535][43583] Loss_D: -0.028326 Loss_G: 0.010658 Loss_D_real: -0.020344 Loss_D_fake 0.007982
[425/5000][175/535][43584] Loss_D: -0.028933 Loss_G: 0.027075 Loss_D_real: -0.018494 Loss_D_fake 0.010439
[425/5000][180/535][43585] Loss_D: -0.027483 Loss_G: 0.001963 Loss_D_real: 0.002052 Loss_D_fake 0.029535
[425/5000][185/535][43586] Loss_D: -0.028231 Loss_G: 0.008492 Loss_D_real: -0.009304 Loss_D_fake 0.018926
[425/5000][190/535][43587] Loss_D: -0.027528 Loss_G: 0.013276 Loss_D_real: -0.013302 Loss_D_fake 0.014226
[425/5000][195/535][43588] Loss_D: -0.028551 Loss_G: 0.005036 Loss_D_real: -0.011009 Loss_D_fake 0.017543
[425/5000][200/535][43589] Loss_D: -0.028827 Loss_G: 0.006380 Loss_D_real: -0.009965 Loss_D_fake 0.018862
[425/5000][205/535][43590] Loss_D: -0.029078 Loss_G: 0.026350 Loss_D_real: -0.029375 Loss_D_fake -0.000298
[425/5000][210/535][43591] Loss_D: -0.029103 Loss_G: 0.028604 Loss_D_real: -0.021502 Loss_D_fake 0.007601
[425/5000][215/535][43592] Loss_D: -0.028343 Loss_G: 0.005832 Loss_D_real: -0.014604 Loss_D_fake 0.013739
[425/5000][220/535][43593] Loss_D: -0.025479 Loss_G: 0.035934 Loss_D_real: -0.042775 Loss_D_fake -0.017296
[425/5000][225/535][43594] Loss_D: -0.026021 Loss_G: -0.020457 Loss_D_real: 0.003211 Loss_D_fake 0.029232
[425/5000][230/535][43595] Loss_D: -0.025894 Loss_G: 0.027435 Loss_D_real: -0.027463 Loss_D_fake -0.001569
[425/5000][235/535][43596] Loss_D: -0.027782 Loss_G: 0.012297 Loss_D_real: -0.019635 Loss_D_fake 0.008147
[425/5000][240/535][43597] Loss_D: -0.028444 Loss_G: 0.024168 Loss_D_real: -0.018530 Loss_D_fake 0.009914
[425/5000][245/535][43598] Loss_D: -0.026624 Loss_G: 0.013368 Loss_D_real: -0.020055 Loss_D_fake 0.006569
[425/5000][250/535][43599] Loss_D: -0.028585 Loss_G: 0.032363 Loss_D_real: -0.024789 Loss_D_fake 0.003797
[425/5000][255/535][43600] Loss_D: -0.029618 Loss_G: 0.007901 Loss_D_real: -0.013524 Loss_D_fake 0.016094
[425/5000][260/535][43601] Loss_D: -0.028371 Loss_G: 0.001895 Loss_D_real: -0.017316 Loss_D_fake 0.011055
[425/5000][265/535][43602] Loss_D: -0.027365 Loss_G: 0.029960 Loss_D_real: -0.033303 Loss_D_fake -0.005938
[425/5000][270/535][43603] Loss_D: -0.029950 Loss_G: 0.029694 Loss_D_real: -0.032733 Loss_D_fake -0.002783
[425/5000][275/535][43604] Loss_D: -0.028394 Loss_G: -0.012980 Loss_D_real: 0.000886 Loss_D_fake 0.029280
[425/5000][280/535][43605] Loss_D: -0.027940 Loss_G: 0.007312 Loss_D_real: -0.002929 Loss_D_fake 0.025011
[425/5000][285/535][43606] Loss_D: -0.027149 Loss_G: 0.021486 Loss_D_real: -0.020671 Loss_D_fake 0.006478
[425/5000][290/535][43607] Loss_D: -0.028444 Loss_G: -0.008797 Loss_D_real: -0.000662 Loss_D_fake 0.027782
[425/5000][295/535][43608] Loss_D: -0.027766 Loss_G: 0.026898 Loss_D_real: -0.028481 Loss_D_fake -0.000715
[425/5000][300/535][43609] Loss_D: -0.029543 Loss_G: 0.005439 Loss_D_real: -0.009657 Loss_D_fake 0.019886
[425/5000][305/535][43610] Loss_D: -0.028646 Loss_G: -0.007343 Loss_D_real: -0.018319 Loss_D_fake 0.010327
[425/5000][310/535][43611] Loss_D: -0.027546 Loss_G: 0.007877 Loss_D_real: -0.020825 Loss_D_fake 0.006721
[425/5000][315/535][43612] Loss_D: -0.028764 Loss_G: 0.010038 Loss_D_real: -0.013844 Loss_D_fake 0.014921
[425/5000][320/535][43613] Loss_D: -0.027664 Loss_G: 0.016193 Loss_D_real: -0.020278 Loss_D_fake 0.007387
[425/5000][325/535][43614] Loss_D: -0.027791 Loss_G: 0.024125 Loss_D_real: -0.031505 Loss_D_fake -0.003715
[425/5000][330/535][43615] Loss_D: -0.028347 Loss_G: 0.040651 Loss_D_real: -0.031801 Loss_D_fake -0.003454
[425/5000][335/535][43616] Loss_D: -0.028388 Loss_G: 0.015092 Loss_D_real: -0.020950 Loss_D_fake 0.007438
[425/5000][340/535][43617] Loss_D: -0.028751 Loss_G: 0.013802 Loss_D_real: -0.006142 Loss_D_fake 0.022610
[425/5000][345/535][43618] Loss_D: -0.028417 Loss_G: -0.001392 Loss_D_real: -0.014057 Loss_D_fake 0.014360
[425/5000][350/535][43619] Loss_D: -0.027230 Loss_G: 0.029648 Loss_D_real: -0.029865 Loss_D_fake -0.002635
[425/5000][355/535][43620] Loss_D: -0.029552 Loss_G: 0.010328 Loss_D_real: -0.023704 Loss_D_fake 0.005848
[425/5000][360/535][43621] Loss_D: -0.027756 Loss_G: 0.039010 Loss_D_real: -0.024763 Loss_D_fake 0.002993
[425/5000][365/535][43622] Loss_D: -0.027899 Loss_G: 0.005161 Loss_D_real: -0.006085 Loss_D_fake 0.021814
[425/5000][370/535][43623] Loss_D: -0.028281 Loss_G: 0.004043 Loss_D_real: -0.009659 Loss_D_fake 0.018622
[425/5000][375/535][43624] Loss_D: -0.028572 Loss_G: -0.000464 Loss_D_real: -0.019011 Loss_D_fake 0.009561
[425/5000][380/535][43625] Loss_D: -0.029179 Loss_G: 0.029630 Loss_D_real: -0.025381 Loss_D_fake 0.003799
[425/5000][385/535][43626] Loss_D: -0.028462 Loss_G: 0.007959 Loss_D_real: -0.019386 Loss_D_fake 0.009076
[425/5000][390/535][43627] Loss_D: -0.028036 Loss_G: -0.001209 Loss_D_real: -0.007538 Loss_D_fake 0.020498
[425/5000][395/535][43628] Loss_D: -0.029044 Loss_G: 0.029025 Loss_D_real: -0.019899 Loss_D_fake 0.009145
[425/5000][400/535][43629] Loss_D: -0.029599 Loss_G: 0.003912 Loss_D_real: -0.019887 Loss_D_fake 0.009712
[425/5000][405/535][43630] Loss_D: -0.028169 Loss_G: 0.009512 Loss_D_real: -0.022654 Loss_D_fake 0.005515
[425/5000][410/535][43631] Loss_D: -0.030089 Loss_G: 0.013919 Loss_D_real: -0.019650 Loss_D_fake 0.010439
[425/5000][415/535][43632] Loss_D: -0.029149 Loss_G: 0.022094 Loss_D_real: -0.034682 Loss_D_fake -0.005533
[425/5000][420/535][43633] Loss_D: -0.028245 Loss_G: 0.011636 Loss_D_real: -0.013436 Loss_D_fake 0.014809
[425/5000][425/535][43634] Loss_D: -0.030131 Loss_G: 0.033042 Loss_D_real: -0.026227 Loss_D_fake 0.003904
[425/5000][430/535][43635] Loss_D: -0.028917 Loss_G: -0.003136 Loss_D_real: -0.012688 Loss_D_fake 0.016229
[425/5000][435/535][43636] Loss_D: -0.027495 Loss_G: -0.005477 Loss_D_real: -0.003919 Loss_D_fake 0.023576
[425/5000][440/535][43637] Loss_D: -0.029424 Loss_G: 0.010681 Loss_D_real: -0.015010 Loss_D_fake 0.014414
[425/5000][445/535][43638] Loss_D: -0.028870 Loss_G: 0.013739 Loss_D_real: -0.021984 Loss_D_fake 0.006886
[425/5000][450/535][43639] Loss_D: -0.029930 Loss_G: 0.008243 Loss_D_real: -0.017650 Loss_D_fake 0.012280
[425/5000][455/535][43640] Loss_D: -0.029151 Loss_G: 0.010497 Loss_D_real: -0.016482 Loss_D_fake 0.012669
[425/5000][460/535][43641] Loss_D: -0.028018 Loss_G: -0.006164 Loss_D_real: -0.006918 Loss_D_fake 0.021100
[425/5000][465/535][43642] Loss_D: -0.028307 Loss_G: 0.032773 Loss_D_real: -0.028401 Loss_D_fake -0.000094
[425/5000][470/535][43643] Loss_D: -0.028446 Loss_G: 0.017732 Loss_D_real: -0.021062 Loss_D_fake 0.007384
[425/5000][475/535][43644] Loss_D: -0.028243 Loss_G: 0.019513 Loss_D_real: -0.003638 Loss_D_fake 0.024605
[425/5000][480/535][43645] Loss_D: -0.027282 Loss_G: 0.006950 Loss_D_real: -0.010085 Loss_D_fake 0.017197
[425/5000][485/535][43646] Loss_D: -0.026394 Loss_G: 0.027876 Loss_D_real: -0.032930 Loss_D_fake -0.006535
[425/5000][490/535][43647] Loss_D: -0.027769 Loss_G: 0.007460 Loss_D_real: -0.014579 Loss_D_fake 0.013190
[425/5000][495/535][43648] Loss_D: -0.025576 Loss_G: 0.030413 Loss_D_real: -0.034145 Loss_D_fake -0.008569
[425/5000][500/535][43649] Loss_D: -0.027271 Loss_G: 0.010385 Loss_D_real: -0.017487 Loss_D_fake 0.009784
[425/5000][505/535][43650] Loss_D: -0.027791 Loss_G: 0.019260 Loss_D_real: -0.032906 Loss_D_fake -0.005116
[425/5000][510/535][43651] Loss_D: -0.028675 Loss_G: 0.012261 Loss_D_real: -0.017448 Loss_D_fake 0.011227
[425/5000][515/535][43652] Loss_D: -0.028818 Loss_G: 0.019665 Loss_D_real: -0.020576 Loss_D_fake 0.008242
[425/5000][520/535][43653] Loss_D: -0.027490 Loss_G: 0.028294 Loss_D_real: -0.033968 Loss_D_fake -0.006477
[425/5000][525/535][43654] Loss_D: -0.028159 Loss_G: 0.003979 Loss_D_real: -0.005964 Loss_D_fake 0.022195
[425/5000][530/535][43655] Loss_D: -0.028984 Loss_G: 0.013685 Loss_D_real: -0.009469 Loss_D_fake 0.019515
[425/5000][535/535][43656] Loss_D: -0.025501 Loss_G: 0.014571 Loss_D_real: -0.013648 Loss_D_fake 0.011853
[426/5000][5/535][43657] Loss_D: -0.028077 Loss_G: -0.000460 Loss_D_real: -0.005090 Loss_D_fake 0.022987
[426/5000][10/535][43658] Loss_D: -0.028055 Loss_G: 0.019383 Loss_D_real: -0.027205 Loss_D_fake 0.000850
[426/5000][15/535][43659] Loss_D: -0.028648 Loss_G: 0.021789 Loss_D_real: -0.033430 Loss_D_fake -0.004781
[426/5000][20/535][43660] Loss_D: -0.029109 Loss_G: 0.028800 Loss_D_real: -0.027036 Loss_D_fake 0.002073
[426/5000][25/535][43661] Loss_D: -0.027672 Loss_G: 0.001959 Loss_D_real: -0.014042 Loss_D_fake 0.013630
[426/5000][30/535][43662] Loss_D: -0.028819 Loss_G: 0.028083 Loss_D_real: -0.020094 Loss_D_fake 0.008725
[426/5000][35/535][43663] Loss_D: -0.028854 Loss_G: 0.000295 Loss_D_real: -0.002134 Loss_D_fake 0.026720
[426/5000][40/535][43664] Loss_D: -0.028982 Loss_G: 0.022490 Loss_D_real: -0.020739 Loss_D_fake 0.008243
[426/5000][45/535][43665] Loss_D: -0.028950 Loss_G: 0.014258 Loss_D_real: -0.016757 Loss_D_fake 0.012193
[426/5000][50/535][43666] Loss_D: -0.028597 Loss_G: -0.015565 Loss_D_real: -0.006468 Loss_D_fake 0.022129
[426/5000][55/535][43667] Loss_D: -0.028319 Loss_G: 0.034487 Loss_D_real: -0.024516 Loss_D_fake 0.003802
[426/5000][60/535][43668] Loss_D: -0.028182 Loss_G: 0.018378 Loss_D_real: -0.020973 Loss_D_fake 0.007209
[426/5000][65/535][43669] Loss_D: -0.027651 Loss_G: 0.010527 Loss_D_real: -0.018283 Loss_D_fake 0.009369
[426/5000][70/535][43670] Loss_D: -0.028501 Loss_G: 0.000714 Loss_D_real: -0.005750 Loss_D_fake 0.022751
[426/5000][75/535][43671] Loss_D: -0.028122 Loss_G: 0.038791 Loss_D_real: -0.031307 Loss_D_fake -0.003185
[426/5000][80/535][43672] Loss_D: -0.027881 Loss_G: -0.001913 Loss_D_real: -0.005703 Loss_D_fake 0.022177
[426/5000][85/535][43673] Loss_D: -0.028907 Loss_G: 0.027588 Loss_D_real: -0.027432 Loss_D_fake 0.001475
[426/5000][90/535][43674] Loss_D: -0.025565 Loss_G: 0.036048 Loss_D_real: -0.033113 Loss_D_fake -0.007549
[426/5000][95/535][43675] Loss_D: -0.028147 Loss_G: -0.006902 Loss_D_real: -0.005280 Loss_D_fake 0.022868
[426/5000][100/535][43676] Loss_D: -0.027254 Loss_G: 0.023173 Loss_D_real: -0.021899 Loss_D_fake 0.005355
[426/5000][105/535][43677] Loss_D: -0.028093 Loss_G: -0.007645 Loss_D_real: -0.006548 Loss_D_fake 0.021544
[426/5000][110/535][43678] Loss_D: -0.025272 Loss_G: 0.029993 Loss_D_real: -0.030463 Loss_D_fake -0.005191
[426/5000][115/535][43679] Loss_D: -0.027312 Loss_G: 0.010139 Loss_D_real: -0.014898 Loss_D_fake 0.012414
[426/5000][120/535][43680] Loss_D: -0.026925 Loss_G: 0.018672 Loss_D_real: -0.023915 Loss_D_fake 0.003010
[426/5000][125/535][43681] Loss_D: -0.028240 Loss_G: 0.030458 Loss_D_real: -0.032213 Loss_D_fake -0.003972
[426/5000][130/535][43682] Loss_D: -0.029258 Loss_G: 0.022791 Loss_D_real: -0.021260 Loss_D_fake 0.007998
[426/5000][135/535][43683] Loss_D: -0.028069 Loss_G: 0.014282 Loss_D_real: -0.020124 Loss_D_fake 0.007945
[426/5000][140/535][43684] Loss_D: -0.028500 Loss_G: 0.029398 Loss_D_real: -0.015852 Loss_D_fake 0.012648
[426/5000][145/535][43685] Loss_D: -0.028030 Loss_G: 0.022812 Loss_D_real: -0.028614 Loss_D_fake -0.000584
[426/5000][150/535][43686] Loss_D: -0.027874 Loss_G: 0.030222 Loss_D_real: -0.018083 Loss_D_fake 0.009791
[426/5000][155/535][43687] Loss_D: -0.027355 Loss_G: 0.014089 Loss_D_real: -0.008541 Loss_D_fake 0.018814
[426/5000][160/535][43688] Loss_D: -0.027860 Loss_G: 0.009466 Loss_D_real: -0.011861 Loss_D_fake 0.015999
[426/5000][165/535][43689] Loss_D: -0.028038 Loss_G: -0.004094 Loss_D_real: -0.004523 Loss_D_fake 0.023515
[426/5000][170/535][43690] Loss_D: -0.027754 Loss_G: 0.017632 Loss_D_real: -0.025420 Loss_D_fake 0.002334
[426/5000][175/535][43691] Loss_D: -0.027559 Loss_G: 0.023281 Loss_D_real: -0.023721 Loss_D_fake 0.003837
[426/5000][180/535][43692] Loss_D: -0.029505 Loss_G: 0.021702 Loss_D_real: -0.017406 Loss_D_fake 0.012099
[426/5000][185/535][43693] Loss_D: -0.026838 Loss_G: 0.033499 Loss_D_real: -0.035752 Loss_D_fake -0.008914
[426/5000][190/535][43694] Loss_D: -0.028168 Loss_G: 0.001368 Loss_D_real: -0.003302 Loss_D_fake 0.024866
[426/5000][195/535][43695] Loss_D: -0.028131 Loss_G: -0.007283 Loss_D_real: -0.010038 Loss_D_fake 0.018093
[426/5000][200/535][43696] Loss_D: -0.027627 Loss_G: -0.000776 Loss_D_real: -0.009788 Loss_D_fake 0.017840
[426/5000][205/535][43697] Loss_D: -0.027505 Loss_G: 0.027634 Loss_D_real: -0.027927 Loss_D_fake -0.000422
[426/5000][210/535][43698] Loss_D: -0.028992 Loss_G: -0.016148 Loss_D_real: -0.003009 Loss_D_fake 0.025984
[426/5000][215/535][43699] Loss_D: -0.026692 Loss_G: 0.010394 Loss_D_real: -0.015952 Loss_D_fake 0.010740
[426/5000][220/535][43700] Loss_D: -0.028809 Loss_G: 0.024608 Loss_D_real: -0.013089 Loss_D_fake 0.015721
[426/5000][225/535][43701] Loss_D: -0.027431 Loss_G: 0.002294 Loss_D_real: -0.010891 Loss_D_fake 0.016541
[426/5000][230/535][43702] Loss_D: -0.028427 Loss_G: 0.009227 Loss_D_real: -0.023490 Loss_D_fake 0.004938
[426/5000][235/535][43703] Loss_D: -0.027906 Loss_G: 0.024119 Loss_D_real: -0.022445 Loss_D_fake 0.005461
[426/5000][240/535][43704] Loss_D: -0.027140 Loss_G: 0.040126 Loss_D_real: -0.038620 Loss_D_fake -0.011480
[426/5000][245/535][43705] Loss_D: -0.027680 Loss_G: 0.017067 Loss_D_real: -0.027072 Loss_D_fake 0.000608
[426/5000][250/535][43706] Loss_D: -0.027576 Loss_G: 0.012995 Loss_D_real: -0.020413 Loss_D_fake 0.007163
[426/5000][255/535][43707] Loss_D: -0.028478 Loss_G: 0.020273 Loss_D_real: -0.019887 Loss_D_fake 0.008591
[426/5000][260/535][43708] Loss_D: -0.028285 Loss_G: 0.010805 Loss_D_real: -0.014557 Loss_D_fake 0.013728
[426/5000][265/535][43709] Loss_D: -0.027705 Loss_G: -0.011892 Loss_D_real: -0.001605 Loss_D_fake 0.026100
[426/5000][270/535][43710] Loss_D: -0.027755 Loss_G: 0.025368 Loss_D_real: -0.021578 Loss_D_fake 0.006177
[426/5000][275/535][43711] Loss_D: -0.028722 Loss_G: -0.002985 Loss_D_real: -0.014287 Loss_D_fake 0.014435
[426/5000][280/535][43712] Loss_D: -0.028595 Loss_G: 0.006657 Loss_D_real: -0.007174 Loss_D_fake 0.021421
[426/5000][285/535][43713] Loss_D: -0.028434 Loss_G: 0.018354 Loss_D_real: -0.023230 Loss_D_fake 0.005204
[426/5000][290/535][43714] Loss_D: -0.027789 Loss_G: -0.009860 Loss_D_real: 0.001378 Loss_D_fake 0.029167
[426/5000][295/535][43715] Loss_D: -0.026122 Loss_G: 0.030332 Loss_D_real: -0.034518 Loss_D_fake -0.008396
[426/5000][300/535][43716] Loss_D: -0.028678 Loss_G: 0.011842 Loss_D_real: -0.016547 Loss_D_fake 0.012131
[426/5000][305/535][43717] Loss_D: -0.028702 Loss_G: 0.017026 Loss_D_real: -0.020444 Loss_D_fake 0.008258
[426/5000][310/535][43718] Loss_D: -0.028448 Loss_G: 0.002985 Loss_D_real: -0.009593 Loss_D_fake 0.018856
[426/5000][315/535][43719] Loss_D: -0.026198 Loss_G: 0.041997 Loss_D_real: -0.034934 Loss_D_fake -0.008735
[426/5000][320/535][43720] Loss_D: -0.027956 Loss_G: -0.004702 Loss_D_real: -0.010837 Loss_D_fake 0.017119
[426/5000][325/535][43721] Loss_D: -0.027491 Loss_G: 0.016418 Loss_D_real: -0.022762 Loss_D_fake 0.004730
[426/5000][330/535][43722] Loss_D: -0.029214 Loss_G: 0.017338 Loss_D_real: -0.027622 Loss_D_fake 0.001592
[426/5000][335/535][43723] Loss_D: -0.029912 Loss_G: 0.004040 Loss_D_real: -0.016259 Loss_D_fake 0.013653
[426/5000][340/535][43724] Loss_D: -0.027786 Loss_G: -0.005473 Loss_D_real: -0.013667 Loss_D_fake 0.014119
[426/5000][345/535][43725] Loss_D: -0.027459 Loss_G: 0.021213 Loss_D_real: -0.025454 Loss_D_fake 0.002004
[426/5000][350/535][43726] Loss_D: -0.027541 Loss_G: 0.012284 Loss_D_real: -0.014152 Loss_D_fake 0.013389
[426/5000][355/535][43727] Loss_D: -0.028470 Loss_G: 0.019879 Loss_D_real: -0.026022 Loss_D_fake 0.002448
[426/5000][360/535][43728] Loss_D: -0.028520 Loss_G: 0.017172 Loss_D_real: -0.017200 Loss_D_fake 0.011320
[426/5000][365/535][43729] Loss_D: -0.030276 Loss_G: 0.019938 Loss_D_real: -0.017923 Loss_D_fake 0.012352
[426/5000][370/535][43730] Loss_D: -0.028374 Loss_G: 0.015220 Loss_D_real: -0.019930 Loss_D_fake 0.008444
[426/5000][375/535][43731] Loss_D: -0.027884 Loss_G: 0.038184 Loss_D_real: -0.033436 Loss_D_fake -0.005551
[426/5000][380/535][43732] Loss_D: -0.028144 Loss_G: 0.003111 Loss_D_real: -0.010982 Loss_D_fake 0.017162
[426/5000][385/535][43733] Loss_D: -0.026950 Loss_G: 0.017039 Loss_D_real: -0.030726 Loss_D_fake -0.003775
[426/5000][390/535][43734] Loss_D: -0.028768 Loss_G: 0.007489 Loss_D_real: -0.012629 Loss_D_fake 0.016139
[426/5000][395/535][43735] Loss_D: -0.028934 Loss_G: 0.025856 Loss_D_real: -0.020388 Loss_D_fake 0.008546
[426/5000][400/535][43736] Loss_D: -0.028767 Loss_G: 0.017211 Loss_D_real: -0.014921 Loss_D_fake 0.013846
[426/5000][405/535][43737] Loss_D: -0.028428 Loss_G: 0.003688 Loss_D_real: -0.006765 Loss_D_fake 0.021662
[426/5000][410/535][43738] Loss_D: -0.027685 Loss_G: -0.008251 Loss_D_real: -0.014455 Loss_D_fake 0.013230
[426/5000][415/535][43739] Loss_D: -0.027393 Loss_G: 0.028129 Loss_D_real: -0.033561 Loss_D_fake -0.006169
[426/5000][420/535][43740] Loss_D: -0.028846 Loss_G: 0.032346 Loss_D_real: -0.025657 Loss_D_fake 0.003189
[426/5000][425/535][43741] Loss_D: -0.028116 Loss_G: -0.004731 Loss_D_real: -0.002844 Loss_D_fake 0.025272
[426/5000][430/535][43742] Loss_D: -0.026793 Loss_G: 0.031557 Loss_D_real: -0.026383 Loss_D_fake 0.000409
[426/5000][435/535][43743] Loss_D: -0.028618 Loss_G: 0.002453 Loss_D_real: -0.015553 Loss_D_fake 0.013065
[426/5000][440/535][43744] Loss_D: -0.027409 Loss_G: 0.000766 Loss_D_real: -0.013397 Loss_D_fake 0.014012
[426/5000][445/535][43745] Loss_D: -0.029995 Loss_G: 0.042711 Loss_D_real: -0.022336 Loss_D_fake 0.007659
[426/5000][450/535][43746] Loss_D: -0.029245 Loss_G: 0.028448 Loss_D_real: -0.022103 Loss_D_fake 0.007142
[426/5000][455/535][43747] Loss_D: -0.028712 Loss_G: -0.000138 Loss_D_real: -0.006741 Loss_D_fake 0.021972
[426/5000][460/535][43748] Loss_D: -0.028475 Loss_G: 0.023353 Loss_D_real: -0.027346 Loss_D_fake 0.001128
[426/5000][465/535][43749] Loss_D: -0.028516 Loss_G: 0.007798 Loss_D_real: -0.006413 Loss_D_fake 0.022103
[426/5000][470/535][43750] Loss_D: -0.029855 Loss_G: 0.005757 Loss_D_real: -0.012146 Loss_D_fake 0.017709
[426/5000][475/535][43751] Loss_D: -0.027793 Loss_G: 0.016298 Loss_D_real: -0.012276 Loss_D_fake 0.015516
[426/5000][480/535][43752] Loss_D: -0.028859 Loss_G: 0.019266 Loss_D_real: -0.024496 Loss_D_fake 0.004363
[426/5000][485/535][43753] Loss_D: -0.028861 Loss_G: 0.027958 Loss_D_real: -0.020220 Loss_D_fake 0.008640
[426/5000][490/535][43754] Loss_D: -0.028174 Loss_G: 0.004881 Loss_D_real: -0.013391 Loss_D_fake 0.014783
[426/5000][495/535][43755] Loss_D: -0.027986 Loss_G: -0.003726 Loss_D_real: -0.000941 Loss_D_fake 0.027044
[426/5000][500/535][43756] Loss_D: -0.026811 Loss_G: -0.007799 Loss_D_real: 0.004412 Loss_D_fake 0.031223
[426/5000][505/535][43757] Loss_D: -0.028862 Loss_G: 0.021958 Loss_D_real: -0.025708 Loss_D_fake 0.003155
[426/5000][510/535][43758] Loss_D: -0.029030 Loss_G: 0.023695 Loss_D_real: -0.022059 Loss_D_fake 0.006971
[426/5000][515/535][43759] Loss_D: -0.028933 Loss_G: 0.026977 Loss_D_real: -0.030161 Loss_D_fake -0.001228
[426/5000][520/535][43760] Loss_D: -0.029654 Loss_G: 0.002354 Loss_D_real: -0.013756 Loss_D_fake 0.015897
[426/5000][525/535][43761] Loss_D: -0.027675 Loss_G: 0.003430 Loss_D_real: -0.008893 Loss_D_fake 0.018782
[426/5000][530/535][43762] Loss_D: -0.028109 Loss_G: 0.031181 Loss_D_real: -0.032732 Loss_D_fake -0.004622
[426/5000][535/535][43763] Loss_D: -0.027040 Loss_G: -0.000295 Loss_D_real: -0.024084 Loss_D_fake 0.002956
[427/5000][5/535][43764] Loss_D: -0.028731 Loss_G: 0.027704 Loss_D_real: -0.027422 Loss_D_fake 0.001309
[427/5000][10/535][43765] Loss_D: -0.028899 Loss_G: 0.023508 Loss_D_real: -0.023007 Loss_D_fake 0.005892
[427/5000][15/535][43766] Loss_D: -0.027280 Loss_G: -0.000251 Loss_D_real: -0.007411 Loss_D_fake 0.019869
[427/5000][20/535][43767] Loss_D: -0.028377 Loss_G: 0.032218 Loss_D_real: -0.029620 Loss_D_fake -0.001243
[427/5000][25/535][43768] Loss_D: -0.028704 Loss_G: 0.010639 Loss_D_real: -0.007261 Loss_D_fake 0.021443
[427/5000][30/535][43769] Loss_D: -0.028585 Loss_G: 0.017027 Loss_D_real: -0.021884 Loss_D_fake 0.006701
[427/5000][35/535][43770] Loss_D: -0.030524 Loss_G: 0.010152 Loss_D_real: -0.029598 Loss_D_fake 0.000926
[427/5000][40/535][43771] Loss_D: -0.027971 Loss_G: 0.004174 Loss_D_real: -0.008021 Loss_D_fake 0.019949
[427/5000][45/535][43772] Loss_D: -0.029059 Loss_G: 0.009363 Loss_D_real: -0.009725 Loss_D_fake 0.019334
[427/5000][50/535][43773] Loss_D: -0.027741 Loss_G: 0.025464 Loss_D_real: -0.028486 Loss_D_fake -0.000744
[427/5000][55/535][43774] Loss_D: -0.027877 Loss_G: 0.021406 Loss_D_real: -0.033269 Loss_D_fake -0.005392
[427/5000][60/535][43775] Loss_D: -0.028778 Loss_G: 0.007136 Loss_D_real: -0.012858 Loss_D_fake 0.015919
[427/5000][65/535][43776] Loss_D: -0.029022 Loss_G: -0.014324 Loss_D_real: 0.000405 Loss_D_fake 0.029427
[427/5000][70/535][43777] Loss_D: -0.028200 Loss_G: 0.022228 Loss_D_real: -0.020335 Loss_D_fake 0.007864
[427/5000][75/535][43778] Loss_D: -0.028227 Loss_G: 0.027707 Loss_D_real: -0.024983 Loss_D_fake 0.003245
[427/5000][80/535][43779] Loss_D: -0.028635 Loss_G: 0.015036 Loss_D_real: -0.013374 Loss_D_fake 0.015261
[427/5000][85/535][43780] Loss_D: -0.028324 Loss_G: 0.007050 Loss_D_real: -0.013137 Loss_D_fake 0.015188
[427/5000][90/535][43781] Loss_D: -0.027989 Loss_G: 0.012683 Loss_D_real: -0.018054 Loss_D_fake 0.009935
[427/5000][95/535][43782] Loss_D: -0.027562 Loss_G: 0.020729 Loss_D_real: -0.023124 Loss_D_fake 0.004438
[427/5000][100/535][43783] Loss_D: -0.027945 Loss_G: 0.020661 Loss_D_real: -0.022923 Loss_D_fake 0.005022
[427/5000][105/535][43784] Loss_D: -0.028003 Loss_G: 0.006548 Loss_D_real: -0.011015 Loss_D_fake 0.016988
[427/5000][110/535][43785] Loss_D: -0.027267 Loss_G: 0.022868 Loss_D_real: -0.028653 Loss_D_fake -0.001385
[427/5000][115/535][43786] Loss_D: -0.028095 Loss_G: -0.000092 Loss_D_real: 0.005625 Loss_D_fake 0.033720
[427/5000][120/535][43787] Loss_D: -0.027824 Loss_G: 0.014075 Loss_D_real: -0.011839 Loss_D_fake 0.015985
[427/5000][125/535][43788] Loss_D: -0.026988 Loss_G: -0.005691 Loss_D_real: -0.006112 Loss_D_fake 0.020876
[427/5000][130/535][43789] Loss_D: -0.029198 Loss_G: 0.025061 Loss_D_real: -0.031031 Loss_D_fake -0.001833
[427/5000][135/535][43790] Loss_D: -0.029776 Loss_G: 0.016978 Loss_D_real: -0.019891 Loss_D_fake 0.009886
[427/5000][140/535][43791] Loss_D: -0.029075 Loss_G: 0.013717 Loss_D_real: -0.011888 Loss_D_fake 0.017188
[427/5000][145/535][43792] Loss_D: -0.030273 Loss_G: 0.024944 Loss_D_real: -0.021631 Loss_D_fake 0.008642
[427/5000][150/535][43793] Loss_D: -0.030880 Loss_G: 0.028239 Loss_D_real: -0.029553 Loss_D_fake 0.001327
[427/5000][155/535][43794] Loss_D: -0.027571 Loss_G: 0.036138 Loss_D_real: -0.029373 Loss_D_fake -0.001802
[427/5000][160/535][43795] Loss_D: -0.029573 Loss_G: -0.008094 Loss_D_real: -0.003586 Loss_D_fake 0.025987
[427/5000][165/535][43796] Loss_D: -0.029988 Loss_G: 0.008479 Loss_D_real: -0.019183 Loss_D_fake 0.010805
[427/5000][170/535][43797] Loss_D: -0.030491 Loss_G: 0.026229 Loss_D_real: -0.023884 Loss_D_fake 0.006607
[427/5000][175/535][43798] Loss_D: -0.028943 Loss_G: 0.026049 Loss_D_real: -0.029319 Loss_D_fake -0.000376
[427/5000][180/535][43799] Loss_D: -0.028750 Loss_G: 0.000231 Loss_D_real: -0.004571 Loss_D_fake 0.024179
[427/5000][185/535][43800] Loss_D: -0.029483 Loss_G: 0.017206 Loss_D_real: -0.013351 Loss_D_fake 0.016132
[427/5000][190/535][43801] Loss_D: -0.026909 Loss_G: 0.007988 Loss_D_real: -0.016909 Loss_D_fake 0.010000
[427/5000][195/535][43802] Loss_D: -0.028428 Loss_G: 0.032560 Loss_D_real: -0.028702 Loss_D_fake -0.000274
[427/5000][200/535][43803] Loss_D: -0.028771 Loss_G: 0.010846 Loss_D_real: -0.018191 Loss_D_fake 0.010580
[427/5000][205/535][43804] Loss_D: -0.029577 Loss_G: 0.004767 Loss_D_real: -0.016958 Loss_D_fake 0.012619
[427/5000][210/535][43805] Loss_D: -0.028130 Loss_G: 0.029158 Loss_D_real: -0.023179 Loss_D_fake 0.004951
[427/5000][215/535][43806] Loss_D: -0.028625 Loss_G: 0.022331 Loss_D_real: -0.019005 Loss_D_fake 0.009620
[427/5000][220/535][43807] Loss_D: -0.028202 Loss_G: 0.001639 Loss_D_real: -0.007626 Loss_D_fake 0.020575
[427/5000][225/535][43808] Loss_D: -0.028087 Loss_G: 0.036928 Loss_D_real: -0.029578 Loss_D_fake -0.001491
[427/5000][230/535][43809] Loss_D: -0.027643 Loss_G: -0.006972 Loss_D_real: -0.011909 Loss_D_fake 0.015734
[427/5000][235/535][43810] Loss_D: -0.027737 Loss_G: -0.003623 Loss_D_real: -0.007178 Loss_D_fake 0.020559
[427/5000][240/535][43811] Loss_D: -0.029066 Loss_G: 0.010119 Loss_D_real: -0.016651 Loss_D_fake 0.012415
[427/5000][245/535][43812] Loss_D: -0.028347 Loss_G: 0.002095 Loss_D_real: -0.006696 Loss_D_fake 0.021651
[427/5000][250/535][43813] Loss_D: -0.028377 Loss_G: 0.024216 Loss_D_real: -0.020093 Loss_D_fake 0.008284
[427/5000][255/535][43814] Loss_D: -0.028944 Loss_G: 0.017722 Loss_D_real: -0.022774 Loss_D_fake 0.006170
[427/5000][260/535][43815] Loss_D: -0.027354 Loss_G: 0.015501 Loss_D_real: -0.021574 Loss_D_fake 0.005780
[427/5000][265/535][43816] Loss_D: -0.027640 Loss_G: 0.009772 Loss_D_real: -0.028094 Loss_D_fake -0.000455
[427/5000][270/535][43817] Loss_D: -0.028904 Loss_G: 0.020511 Loss_D_real: -0.029729 Loss_D_fake -0.000825
[427/5000][275/535][43818] Loss_D: -0.028039 Loss_G: 0.008515 Loss_D_real: -0.004278 Loss_D_fake 0.023761
[427/5000][280/535][43819] Loss_D: -0.027495 Loss_G: 0.007668 Loss_D_real: -0.022355 Loss_D_fake 0.005140
[427/5000][285/535][43820] Loss_D: -0.028004 Loss_G: 0.015861 Loss_D_real: -0.016197 Loss_D_fake 0.011807
[427/5000][290/535][43821] Loss_D: -0.027770 Loss_G: 0.024143 Loss_D_real: -0.021796 Loss_D_fake 0.005974
[427/5000][295/535][43822] Loss_D: -0.025471 Loss_G: 0.036547 Loss_D_real: -0.032557 Loss_D_fake -0.007086
[427/5000][300/535][43823] Loss_D: -0.026384 Loss_G: -0.015349 Loss_D_real: 0.011530 Loss_D_fake 0.037914
[427/5000][305/535][43824] Loss_D: -0.027134 Loss_G: 0.018124 Loss_D_real: -0.021707 Loss_D_fake 0.005428
[427/5000][310/535][43825] Loss_D: -0.028441 Loss_G: 0.021128 Loss_D_real: -0.022138 Loss_D_fake 0.006303
[427/5000][315/535][43826] Loss_D: -0.028644 Loss_G: 0.014989 Loss_D_real: -0.019618 Loss_D_fake 0.009026
[427/5000][320/535][43827] Loss_D: -0.028716 Loss_G: 0.010000 Loss_D_real: -0.017559 Loss_D_fake 0.011157
[427/5000][325/535][43828] Loss_D: -0.027147 Loss_G: -0.005457 Loss_D_real: -0.005050 Loss_D_fake 0.022097
[427/5000][330/535][43829] Loss_D: -0.027844 Loss_G: 0.016197 Loss_D_real: -0.015588 Loss_D_fake 0.012255
[427/5000][335/535][43830] Loss_D: -0.028251 Loss_G: 0.016713 Loss_D_real: -0.017612 Loss_D_fake 0.010639
[427/5000][340/535][43831] Loss_D: -0.028475 Loss_G: 0.008836 Loss_D_real: -0.009017 Loss_D_fake 0.019458
[427/5000][345/535][43832] Loss_D: -0.028923 Loss_G: 0.023820 Loss_D_real: -0.026345 Loss_D_fake 0.002577
[427/5000][350/535][43833] Loss_D: -0.028316 Loss_G: 0.009756 Loss_D_real: -0.006991 Loss_D_fake 0.021325
[427/5000][355/535][43834] Loss_D: -0.028274 Loss_G: 0.021114 Loss_D_real: -0.028551 Loss_D_fake -0.000277
[427/5000][360/535][43835] Loss_D: -0.028744 Loss_G: 0.023052 Loss_D_real: -0.024905 Loss_D_fake 0.003839
[427/5000][365/535][43836] Loss_D: -0.029366 Loss_G: -0.004744 Loss_D_real: -0.003811 Loss_D_fake 0.025555
[427/5000][370/535][43837] Loss_D: -0.028201 Loss_G: 0.009085 Loss_D_real: -0.008473 Loss_D_fake 0.019729
[427/5000][375/535][43838] Loss_D: -0.027468 Loss_G: 0.035672 Loss_D_real: -0.032308 Loss_D_fake -0.004840
[427/5000][380/535][43839] Loss_D: -0.027470 Loss_G: 0.013842 Loss_D_real: -0.001474 Loss_D_fake 0.025996
[427/5000][385/535][43840] Loss_D: -0.028395 Loss_G: 0.026305 Loss_D_real: -0.022098 Loss_D_fake 0.006297
[427/5000][390/535][43841] Loss_D: -0.028296 Loss_G: 0.027605 Loss_D_real: -0.027647 Loss_D_fake 0.000649
[427/5000][395/535][43842] Loss_D: -0.027532 Loss_G: 0.021349 Loss_D_real: -0.026484 Loss_D_fake 0.001048
[427/5000][400/535][43843] Loss_D: -0.027628 Loss_G: -0.019074 Loss_D_real: -0.002540 Loss_D_fake 0.025087
[427/5000][405/535][43844] Loss_D: -0.027288 Loss_G: 0.026418 Loss_D_real: -0.028183 Loss_D_fake -0.000894
[427/5000][410/535][43845] Loss_D: -0.028133 Loss_G: -0.004677 Loss_D_real: -0.001769 Loss_D_fake 0.026364
[427/5000][415/535][43846] Loss_D: -0.027524 Loss_G: 0.021913 Loss_D_real: -0.014301 Loss_D_fake 0.013223
[427/5000][420/535][43847] Loss_D: -0.026775 Loss_G: 0.011394 Loss_D_real: -0.022023 Loss_D_fake 0.004753
[427/5000][425/535][43848] Loss_D: -0.029075 Loss_G: 0.019166 Loss_D_real: -0.029167 Loss_D_fake -0.000092
[427/5000][430/535][43849] Loss_D: -0.029143 Loss_G: 0.007742 Loss_D_real: -0.007957 Loss_D_fake 0.021186
[427/5000][435/535][43850] Loss_D: -0.028636 Loss_G: 0.011796 Loss_D_real: -0.018293 Loss_D_fake 0.010343
[427/5000][440/535][43851] Loss_D: -0.028729 Loss_G: 0.018678 Loss_D_real: -0.023683 Loss_D_fake 0.005046
[427/5000][445/535][43852] Loss_D: -0.027906 Loss_G: 0.029281 Loss_D_real: -0.029401 Loss_D_fake -0.001495
[427/5000][450/535][43853] Loss_D: -0.028714 Loss_G: -0.000030 Loss_D_real: -0.009307 Loss_D_fake 0.019407
[427/5000][455/535][43854] Loss_D: -0.026974 Loss_G: 0.036931 Loss_D_real: -0.032172 Loss_D_fake -0.005198
[427/5000][460/535][43855] Loss_D: -0.028794 Loss_G: 0.024733 Loss_D_real: -0.022996 Loss_D_fake 0.005798
[427/5000][465/535][43856] Loss_D: -0.027052 Loss_G: 0.016788 Loss_D_real: -0.014416 Loss_D_fake 0.012637
[427/5000][470/535][43857] Loss_D: -0.026414 Loss_G: -0.003372 Loss_D_real: -0.004700 Loss_D_fake 0.021714
[427/5000][475/535][43858] Loss_D: -0.026223 Loss_G: 0.036641 Loss_D_real: -0.036444 Loss_D_fake -0.010221
[427/5000][480/535][43859] Loss_D: -0.027743 Loss_G: 0.004676 Loss_D_real: -0.008139 Loss_D_fake 0.019605
[427/5000][485/535][43860] Loss_D: -0.027928 Loss_G: 0.007256 Loss_D_real: -0.005593 Loss_D_fake 0.022335
[427/5000][490/535][43861] Loss_D: -0.027849 Loss_G: 0.022372 Loss_D_real: -0.027480 Loss_D_fake 0.000369
[427/5000][495/535][43862] Loss_D: -0.028029 Loss_G: -0.001537 Loss_D_real: -0.012423 Loss_D_fake 0.015606
[427/5000][500/535][43863] Loss_D: -0.027983 Loss_G: 0.017949 Loss_D_real: -0.018432 Loss_D_fake 0.009552
[427/5000][505/535][43864] Loss_D: -0.027800 Loss_G: 0.006977 Loss_D_real: -0.009587 Loss_D_fake 0.018213
[427/5000][510/535][43865] Loss_D: -0.027406 Loss_G: 0.021282 Loss_D_real: -0.021698 Loss_D_fake 0.005708
[427/5000][515/535][43866] Loss_D: -0.027908 Loss_G: 0.020388 Loss_D_real: -0.018466 Loss_D_fake 0.009442
[427/5000][520/535][43867] Loss_D: -0.029491 Loss_G: 0.017386 Loss_D_real: -0.023831 Loss_D_fake 0.005660
[427/5000][525/535][43868] Loss_D: -0.027849 Loss_G: 0.031544 Loss_D_real: -0.029584 Loss_D_fake -0.001734
[427/5000][530/535][43869] Loss_D: -0.028127 Loss_G: 0.025004 Loss_D_real: -0.027006 Loss_D_fake 0.001121
[427/5000][535/535][43870] Loss_D: -0.029389 Loss_G: 0.004351 Loss_D_real: -0.026457 Loss_D_fake 0.002933
[428/5000][5/535][43871] Loss_D: -0.028319 Loss_G: 0.031656 Loss_D_real: -0.035941 Loss_D_fake -0.007622
[428/5000][10/535][43872] Loss_D: -0.029035 Loss_G: 0.001867 Loss_D_real: -0.015852 Loss_D_fake 0.013183
[428/5000][15/535][43873] Loss_D: -0.026240 Loss_G: 0.001192 Loss_D_real: -0.009451 Loss_D_fake 0.016789
[428/5000][20/535][43874] Loss_D: -0.026957 Loss_G: 0.017492 Loss_D_real: -0.011305 Loss_D_fake 0.015651
[428/5000][25/535][43875] Loss_D: -0.027659 Loss_G: 0.001215 Loss_D_real: -0.023509 Loss_D_fake 0.004150
[428/5000][30/535][43876] Loss_D: -0.029239 Loss_G: 0.032008 Loss_D_real: -0.035946 Loss_D_fake -0.006707
[428/5000][35/535][43877] Loss_D: -0.027800 Loss_G: -0.010150 Loss_D_real: 0.000345 Loss_D_fake 0.028145
[428/5000][40/535][43878] Loss_D: -0.028896 Loss_G: 0.020093 Loss_D_real: -0.031423 Loss_D_fake -0.002527
[428/5000][45/535][43879] Loss_D: -0.028232 Loss_G: 0.027092 Loss_D_real: -0.024153 Loss_D_fake 0.004079
[428/5000][50/535][43880] Loss_D: -0.029358 Loss_G: 0.011285 Loss_D_real: -0.014772 Loss_D_fake 0.014586
[428/5000][55/535][43881] Loss_D: -0.028991 Loss_G: 0.007698 Loss_D_real: -0.014533 Loss_D_fake 0.014458
[428/5000][60/535][43882] Loss_D: -0.028489 Loss_G: 0.005511 Loss_D_real: -0.010987 Loss_D_fake 0.017502
[428/5000][65/535][43883] Loss_D: -0.026570 Loss_G: -0.015606 Loss_D_real: 0.017895 Loss_D_fake 0.044465
[428/5000][70/535][43884] Loss_D: -0.027695 Loss_G: 0.025955 Loss_D_real: -0.024226 Loss_D_fake 0.003469
[428/5000][75/535][43885] Loss_D: -0.026602 Loss_G: 0.033785 Loss_D_real: -0.024467 Loss_D_fake 0.002135
[428/5000][80/535][43886] Loss_D: -0.027731 Loss_G: -0.007917 Loss_D_real: -0.021952 Loss_D_fake 0.005779
[428/5000][85/535][43887] Loss_D: -0.027689 Loss_G: 0.030456 Loss_D_real: -0.026837 Loss_D_fake 0.000852
[428/5000][90/535][43888] Loss_D: -0.027330 Loss_G: 0.022312 Loss_D_real: -0.019097 Loss_D_fake 0.008233
[428/5000][95/535][43889] Loss_D: -0.029801 Loss_G: 0.014477 Loss_D_real: -0.022623 Loss_D_fake 0.007178
[428/5000][100/535][43890] Loss_D: -0.026126 Loss_G: 0.033395 Loss_D_real: -0.042014 Loss_D_fake -0.015888
[428/5000][105/535][43891] Loss_D: -0.028895 Loss_G: 0.006800 Loss_D_real: -0.007264 Loss_D_fake 0.021630
[428/5000][110/535][43892] Loss_D: -0.028912 Loss_G: 0.014258 Loss_D_real: -0.020665 Loss_D_fake 0.008248
[428/5000][115/535][43893] Loss_D: -0.028537 Loss_G: 0.014431 Loss_D_real: -0.014430 Loss_D_fake 0.014108
[428/5000][120/535][43894] Loss_D: -0.027438 Loss_G: 0.035221 Loss_D_real: -0.040300 Loss_D_fake -0.012861
[428/5000][125/535][43895] Loss_D: -0.028938 Loss_G: 0.004387 Loss_D_real: -0.008514 Loss_D_fake 0.020424
[428/5000][130/535][43896] Loss_D: -0.028115 Loss_G: 0.014612 Loss_D_real: -0.021022 Loss_D_fake 0.007094
[428/5000][135/535][43897] Loss_D: -0.028736 Loss_G: 0.037637 Loss_D_real: -0.030481 Loss_D_fake -0.001745
[428/5000][140/535][43898] Loss_D: -0.028831 Loss_G: 0.010918 Loss_D_real: -0.013811 Loss_D_fake 0.015020
[428/5000][145/535][43899] Loss_D: -0.029947 Loss_G: 0.020012 Loss_D_real: -0.022081 Loss_D_fake 0.007866
[428/5000][150/535][43900] Loss_D: -0.027578 Loss_G: 0.002246 Loss_D_real: -0.012548 Loss_D_fake 0.015030
[428/5000][155/535][43901] Loss_D: -0.027971 Loss_G: 0.008275 Loss_D_real: -0.015969 Loss_D_fake 0.012002
[428/5000][160/535][43902] Loss_D: -0.029010 Loss_G: 0.014700 Loss_D_real: -0.020535 Loss_D_fake 0.008475
[428/5000][165/535][43903] Loss_D: -0.027468 Loss_G: 0.022482 Loss_D_real: -0.021573 Loss_D_fake 0.005895
[428/5000][170/535][43904] Loss_D: -0.027779 Loss_G: 0.006989 Loss_D_real: -0.011323 Loss_D_fake 0.016456
[428/5000][175/535][43905] Loss_D: -0.026536 Loss_G: 0.022452 Loss_D_real: -0.028071 Loss_D_fake -0.001535
[428/5000][180/535][43906] Loss_D: -0.029092 Loss_G: 0.012789 Loss_D_real: -0.018733 Loss_D_fake 0.010359
[428/5000][185/535][43907] Loss_D: -0.028303 Loss_G: -0.014326 Loss_D_real: -0.005210 Loss_D_fake 0.023093
[428/5000][190/535][43908] Loss_D: -0.028439 Loss_G: 0.001774 Loss_D_real: -0.008603 Loss_D_fake 0.019836
[428/5000][195/535][43909] Loss_D: -0.029148 Loss_G: 0.015084 Loss_D_real: -0.023841 Loss_D_fake 0.005307
[428/5000][200/535][43910] Loss_D: -0.028352 Loss_G: 0.008586 Loss_D_real: -0.005739 Loss_D_fake 0.022613
[428/5000][205/535][43911] Loss_D: -0.028787 Loss_G: 0.006349 Loss_D_real: -0.021830 Loss_D_fake 0.006957
[428/5000][210/535][43912] Loss_D: -0.028406 Loss_G: 0.026298 Loss_D_real: -0.028938 Loss_D_fake -0.000532
[428/5000][215/535][43913] Loss_D: -0.028281 Loss_G: 0.028626 Loss_D_real: -0.024752 Loss_D_fake 0.003529
[428/5000][220/535][43914] Loss_D: -0.028557 Loss_G: -0.002310 Loss_D_real: -0.011229 Loss_D_fake 0.017328
[428/5000][225/535][43915] Loss_D: -0.027802 Loss_G: 0.030576 Loss_D_real: -0.027307 Loss_D_fake 0.000495
[428/5000][230/535][43916] Loss_D: -0.027075 Loss_G: 0.030031 Loss_D_real: -0.028046 Loss_D_fake -0.000971
[428/5000][235/535][43917] Loss_D: -0.028252 Loss_G: 0.018557 Loss_D_real: -0.028896 Loss_D_fake -0.000645
[428/5000][240/535][43918] Loss_D: -0.029079 Loss_G: 0.006395 Loss_D_real: -0.023873 Loss_D_fake 0.005206
[428/5000][245/535][43919] Loss_D: -0.027804 Loss_G: 0.027574 Loss_D_real: -0.032278 Loss_D_fake -0.004474
[428/5000][250/535][43920] Loss_D: -0.027730 Loss_G: 0.038866 Loss_D_real: -0.028188 Loss_D_fake -0.000458
[428/5000][255/535][43921] Loss_D: -0.027826 Loss_G: -0.000228 Loss_D_real: -0.004106 Loss_D_fake 0.023720
[428/5000][260/535][43922] Loss_D: -0.027015 Loss_G: 0.024383 Loss_D_real: -0.029152 Loss_D_fake -0.002137
[428/5000][265/535][43923] Loss_D: -0.028704 Loss_G: -0.005164 Loss_D_real: -0.010988 Loss_D_fake 0.017716
[428/5000][270/535][43924] Loss_D: -0.027287 Loss_G: 0.031464 Loss_D_real: -0.024764 Loss_D_fake 0.002523
[428/5000][275/535][43925] Loss_D: -0.027854 Loss_G: 0.006251 Loss_D_real: -0.013322 Loss_D_fake 0.014532
[428/5000][280/535][43926] Loss_D: -0.028582 Loss_G: 0.016232 Loss_D_real: -0.008005 Loss_D_fake 0.020578
[428/5000][285/535][43927] Loss_D: -0.027600 Loss_G: 0.037771 Loss_D_real: -0.040190 Loss_D_fake -0.012590
[428/5000][290/535][43928] Loss_D: -0.028179 Loss_G: 0.023452 Loss_D_real: -0.025025 Loss_D_fake 0.003154
[428/5000][295/535][43929] Loss_D: -0.027995 Loss_G: 0.006513 Loss_D_real: -0.009917 Loss_D_fake 0.018079
[428/5000][300/535][43930] Loss_D: -0.027844 Loss_G: 0.016415 Loss_D_real: -0.026926 Loss_D_fake 0.000918
[428/5000][305/535][43931] Loss_D: -0.028286 Loss_G: 0.011710 Loss_D_real: -0.022810 Loss_D_fake 0.005475
[428/5000][310/535][43932] Loss_D: -0.030209 Loss_G: 0.013413 Loss_D_real: -0.015529 Loss_D_fake 0.014680
[428/5000][315/535][43933] Loss_D: -0.028380 Loss_G: 0.030215 Loss_D_real: -0.024765 Loss_D_fake 0.003615
[428/5000][320/535][43934] Loss_D: -0.027414 Loss_G: 0.035998 Loss_D_real: -0.023065 Loss_D_fake 0.004349
[428/5000][325/535][43935] Loss_D: -0.027004 Loss_G: 0.019591 Loss_D_real: -0.020286 Loss_D_fake 0.006717
[428/5000][330/535][43936] Loss_D: -0.029770 Loss_G: 0.020696 Loss_D_real: -0.018124 Loss_D_fake 0.011646
[428/5000][335/535][43937] Loss_D: -0.027491 Loss_G: 0.002958 Loss_D_real: -0.008018 Loss_D_fake 0.019474
[428/5000][340/535][43938] Loss_D: -0.027792 Loss_G: -0.004261 Loss_D_real: -0.001535 Loss_D_fake 0.026257
[428/5000][345/535][43939] Loss_D: -0.028394 Loss_G: 0.034321 Loss_D_real: -0.034407 Loss_D_fake -0.006012
[428/5000][350/535][43940] Loss_D: -0.026979 Loss_G: -0.000525 Loss_D_real: -0.004143 Loss_D_fake 0.022836
[428/5000][355/535][43941] Loss_D: -0.028111 Loss_G: 0.003007 Loss_D_real: -0.009841 Loss_D_fake 0.018270
[428/5000][360/535][43942] Loss_D: -0.029451 Loss_G: 0.008289 Loss_D_real: -0.013579 Loss_D_fake 0.015873
[428/5000][365/535][43943] Loss_D: -0.028860 Loss_G: 0.022478 Loss_D_real: -0.034115 Loss_D_fake -0.005255
[428/5000][370/535][43944] Loss_D: -0.028243 Loss_G: 0.011777 Loss_D_real: -0.006327 Loss_D_fake 0.021916
[428/5000][375/535][43945] Loss_D: -0.028037 Loss_G: 0.021344 Loss_D_real: -0.024469 Loss_D_fake 0.003568
[428/5000][380/535][43946] Loss_D: -0.028157 Loss_G: 0.020434 Loss_D_real: -0.022833 Loss_D_fake 0.005324
[428/5000][385/535][43947] Loss_D: -0.028375 Loss_G: 0.006562 Loss_D_real: -0.015053 Loss_D_fake 0.013322
[428/5000][390/535][43948] Loss_D: -0.029051 Loss_G: 0.015711 Loss_D_real: -0.021544 Loss_D_fake 0.007507
[428/5000][395/535][43949] Loss_D: -0.029178 Loss_G: 0.024392 Loss_D_real: -0.023531 Loss_D_fake 0.005647
[428/5000][400/535][43950] Loss_D: -0.028111 Loss_G: 0.017775 Loss_D_real: -0.018655 Loss_D_fake 0.009455
[428/5000][405/535][43951] Loss_D: -0.028353 Loss_G: 0.013252 Loss_D_real: -0.018279 Loss_D_fake 0.010075
[428/5000][410/535][43952] Loss_D: -0.026502 Loss_G: 0.036759 Loss_D_real: -0.041775 Loss_D_fake -0.015273
[428/5000][415/535][43953] Loss_D: -0.027935 Loss_G: -0.003809 Loss_D_real: -0.001121 Loss_D_fake 0.026815
[428/5000][420/535][43954] Loss_D: -0.029017 Loss_G: 0.018783 Loss_D_real: -0.015664 Loss_D_fake 0.013352
[428/5000][425/535][43955] Loss_D: -0.027138 Loss_G: 0.032661 Loss_D_real: -0.036394 Loss_D_fake -0.009257
[428/5000][430/535][43956] Loss_D: -0.028488 Loss_G: -0.003991 Loss_D_real: -0.010841 Loss_D_fake 0.017647
[428/5000][435/535][43957] Loss_D: -0.027144 Loss_G: 0.006581 Loss_D_real: -0.020786 Loss_D_fake 0.006358
[428/5000][440/535][43958] Loss_D: -0.028714 Loss_G: 0.006317 Loss_D_real: -0.011728 Loss_D_fake 0.016986
[428/5000][445/535][43959] Loss_D: -0.028773 Loss_G: -0.000832 Loss_D_real: -0.014343 Loss_D_fake 0.014430
[428/5000][450/535][43960] Loss_D: -0.024991 Loss_G: 0.030198 Loss_D_real: -0.035209 Loss_D_fake -0.010218
[428/5000][455/535][43961] Loss_D: -0.027801 Loss_G: -0.004404 Loss_D_real: -0.000275 Loss_D_fake 0.027526
[428/5000][460/535][43962] Loss_D: -0.026735 Loss_G: 0.028906 Loss_D_real: -0.026729 Loss_D_fake 0.000006
[428/5000][465/535][43963] Loss_D: -0.027590 Loss_G: 0.020268 Loss_D_real: -0.016446 Loss_D_fake 0.011145
[428/5000][470/535][43964] Loss_D: -0.028475 Loss_G: 0.013374 Loss_D_real: -0.019115 Loss_D_fake 0.009360
[428/5000][475/535][43965] Loss_D: -0.028186 Loss_G: 0.030180 Loss_D_real: -0.029436 Loss_D_fake -0.001251
[428/5000][480/535][43966] Loss_D: -0.029117 Loss_G: 0.015189 Loss_D_real: -0.018697 Loss_D_fake 0.010420
[428/5000][485/535][43967] Loss_D: -0.027629 Loss_G: 0.010799 Loss_D_real: -0.012840 Loss_D_fake 0.014789
[428/5000][490/535][43968] Loss_D: -0.028096 Loss_G: 0.033379 Loss_D_real: -0.028900 Loss_D_fake -0.000804
[428/5000][495/535][43969] Loss_D: -0.027455 Loss_G: -0.006045 Loss_D_real: -0.008095 Loss_D_fake 0.019361
[428/5000][500/535][43970] Loss_D: -0.027213 Loss_G: 0.010025 Loss_D_real: -0.018224 Loss_D_fake 0.008989
[428/5000][505/535][43971] Loss_D: -0.026950 Loss_G: 0.014127 Loss_D_real: -0.016357 Loss_D_fake 0.010593
[428/5000][510/535][43972] Loss_D: -0.026782 Loss_G: -0.013776 Loss_D_real: -0.004449 Loss_D_fake 0.022333
[428/5000][515/535][43973] Loss_D: -0.027441 Loss_G: 0.027185 Loss_D_real: -0.021428 Loss_D_fake 0.006013
[428/5000][520/535][43974] Loss_D: -0.028358 Loss_G: 0.008568 Loss_D_real: -0.009367 Loss_D_fake 0.018991
[428/5000][525/535][43975] Loss_D: -0.026468 Loss_G: -0.008184 Loss_D_real: -0.005510 Loss_D_fake 0.020957
[428/5000][530/535][43976] Loss_D: -0.027944 Loss_G: 0.008744 Loss_D_real: -0.017446 Loss_D_fake 0.010498
[428/5000][535/535][43977] Loss_D: -0.031888 Loss_G: 0.021478 Loss_D_real: -0.021866 Loss_D_fake 0.010022
[429/5000][5/535][43978] Loss_D: -0.028265 Loss_G: 0.016845 Loss_D_real: -0.024953 Loss_D_fake 0.003312
[429/5000][10/535][43979] Loss_D: -0.027828 Loss_G: -0.004197 Loss_D_real: -0.006387 Loss_D_fake 0.021441
[429/5000][15/535][43980] Loss_D: -0.028276 Loss_G: 0.009704 Loss_D_real: -0.011370 Loss_D_fake 0.016905
[429/5000][20/535][43981] Loss_D: -0.027902 Loss_G: -0.004719 Loss_D_real: -0.006636 Loss_D_fake 0.021267
[429/5000][25/535][43982] Loss_D: -0.027962 Loss_G: 0.020571 Loss_D_real: -0.021825 Loss_D_fake 0.006138
[429/5000][30/535][43983] Loss_D: -0.026948 Loss_G: -0.002879 Loss_D_real: 0.004412 Loss_D_fake 0.031361
[429/5000][35/535][43984] Loss_D: -0.029398 Loss_G: 0.009484 Loss_D_real: -0.026568 Loss_D_fake 0.002830
[429/5000][40/535][43985] Loss_D: -0.027960 Loss_G: 0.034782 Loss_D_real: -0.030737 Loss_D_fake -0.002778
[429/5000][45/535][43986] Loss_D: -0.028342 Loss_G: 0.002792 Loss_D_real: -0.011143 Loss_D_fake 0.017198
[429/5000][50/535][43987] Loss_D: -0.027832 Loss_G: 0.032730 Loss_D_real: -0.026638 Loss_D_fake 0.001194
[429/5000][55/535][43988] Loss_D: -0.027845 Loss_G: 0.014711 Loss_D_real: -0.019853 Loss_D_fake 0.007992
[429/5000][60/535][43989] Loss_D: -0.028124 Loss_G: 0.015815 Loss_D_real: -0.021921 Loss_D_fake 0.006203
[429/5000][65/535][43990] Loss_D: -0.028533 Loss_G: -0.004165 Loss_D_real: -0.007567 Loss_D_fake 0.020966
[429/5000][70/535][43991] Loss_D: -0.027059 Loss_G: 0.011377 Loss_D_real: -0.006115 Loss_D_fake 0.020944
[429/5000][75/535][43992] Loss_D: -0.028366 Loss_G: 0.030449 Loss_D_real: -0.021301 Loss_D_fake 0.007065
[429/5000][80/535][43993] Loss_D: -0.029564 Loss_G: 0.008408 Loss_D_real: -0.010505 Loss_D_fake 0.019059
[429/5000][85/535][43994] Loss_D: -0.027072 Loss_G: 0.002791 Loss_D_real: -0.009769 Loss_D_fake 0.017303
[429/5000][90/535][43995] Loss_D: -0.027493 Loss_G: 0.020719 Loss_D_real: -0.021172 Loss_D_fake 0.006321
[429/5000][95/535][43996] Loss_D: -0.030311 Loss_G: 0.037649 Loss_D_real: -0.024828 Loss_D_fake 0.005483
[429/5000][100/535][43997] Loss_D: -0.028243 Loss_G: -0.004215 Loss_D_real: -0.010864 Loss_D_fake 0.017379
[429/5000][105/535][43998] Loss_D: -0.028060 Loss_G: 0.028225 Loss_D_real: -0.027516 Loss_D_fake 0.000544
[429/5000][110/535][43999] Loss_D: -0.027934 Loss_G: -0.006019 Loss_D_real: 0.002659 Loss_D_fake 0.030593
[429/5000][115/535][44000] Loss_D: -0.027943 Loss_G: 0.015747 Loss_D_real: -0.015469 Loss_D_fake 0.012474
[429/5000][215/535][44001] Loss_D: -0.031092 Loss_G: 0.023443 Loss_D_real: -0.019147 Loss_D_fake 0.011945
[429/5000][220/535][44002] Loss_D: -0.027316 Loss_G: 0.001927 Loss_D_real: -0.009178 Loss_D_fake 0.018138
[429/5000][225/535][44003] Loss_D: -0.026482 Loss_G: 0.005840 Loss_D_real: -0.002328 Loss_D_fake 0.024154
[429/5000][230/535][44004] Loss_D: -0.026627 Loss_G: 0.021172 Loss_D_real: -0.010050 Loss_D_fake 0.016576
[429/5000][235/535][44005] Loss_D: -0.027941 Loss_G: 0.005845 Loss_D_real: -0.006620 Loss_D_fake 0.021320
[429/5000][240/535][44006] Loss_D: -0.028470 Loss_G: 0.025627 Loss_D_real: -0.023182 Loss_D_fake 0.005288
[429/5000][245/535][44007] Loss_D: -0.027030 Loss_G: -0.008490 Loss_D_real: -0.019212 Loss_D_fake 0.007818
[429/5000][250/535][44008] Loss_D: -0.028157 Loss_G: -0.007387 Loss_D_real: -0.013664 Loss_D_fake 0.014493
[429/5000][255/535][44009] Loss_D: -0.028229 Loss_G: 0.019156 Loss_D_real: -0.023154 Loss_D_fake 0.005075
[429/5000][260/535][44010] Loss_D: -0.029165 Loss_G: 0.012590 Loss_D_real: -0.026232 Loss_D_fake 0.002933
[429/5000][265/535][44011] Loss_D: -0.027860 Loss_G: -0.002146 Loss_D_real: -0.007215 Loss_D_fake 0.020645
[429/5000][270/535][44012] Loss_D: -0.028195 Loss_G: 0.012665 Loss_D_real: -0.012962 Loss_D_fake 0.015233
[429/5000][275/535][44013] Loss_D: -0.027735 Loss_G: 0.005808 Loss_D_real: -0.008888 Loss_D_fake 0.018847
[429/5000][280/535][44014] Loss_D: -0.029633 Loss_G: 0.013736 Loss_D_real: -0.012667 Loss_D_fake 0.016966
[429/5000][285/535][44015] Loss_D: -0.028405 Loss_G: 0.018251 Loss_D_real: -0.018622 Loss_D_fake 0.009783
[429/5000][290/535][44016] Loss_D: -0.027723 Loss_G: 0.029690 Loss_D_real: -0.023994 Loss_D_fake 0.003728
[429/5000][295/535][44017] Loss_D: -0.029957 Loss_G: 0.008868 Loss_D_real: -0.024768 Loss_D_fake 0.005189
[429/5000][300/535][44018] Loss_D: -0.028263 Loss_G: -0.006113 Loss_D_real: -0.002597 Loss_D_fake 0.025666
[429/5000][305/535][44019] Loss_D: -0.029180 Loss_G: 0.009587 Loss_D_real: -0.024049 Loss_D_fake 0.005131
[429/5000][310/535][44020] Loss_D: -0.026860 Loss_G: 0.028250 Loss_D_real: -0.026628 Loss_D_fake 0.000232
[429/5000][315/535][44021] Loss_D: -0.028080 Loss_G: 0.000792 Loss_D_real: -0.010247 Loss_D_fake 0.017834
[429/5000][320/535][44022] Loss_D: -0.027896 Loss_G: 0.014685 Loss_D_real: -0.023621 Loss_D_fake 0.004276
[429/5000][325/535][44023] Loss_D: -0.028376 Loss_G: 0.018991 Loss_D_real: -0.022395 Loss_D_fake 0.005981
[429/5000][330/535][44024] Loss_D: -0.028026 Loss_G: 0.010986 Loss_D_real: -0.016396 Loss_D_fake 0.011629
[429/5000][335/535][44025] Loss_D: -0.026486 Loss_G: 0.000288 Loss_D_real: -0.004830 Loss_D_fake 0.021656
[429/5000][340/535][44026] Loss_D: -0.028083 Loss_G: 0.013785 Loss_D_real: -0.026813 Loss_D_fake 0.001271
[429/5000][345/535][44027] Loss_D: -0.028059 Loss_G: 0.020476 Loss_D_real: -0.027540 Loss_D_fake 0.000519
[429/5000][350/535][44028] Loss_D: -0.028929 Loss_G: 0.023932 Loss_D_real: -0.024565 Loss_D_fake 0.004364
[429/5000][355/535][44029] Loss_D: -0.028641 Loss_G: -0.001855 Loss_D_real: -0.001529 Loss_D_fake 0.027113
[429/5000][360/535][44030] Loss_D: -0.028430 Loss_G: 0.029086 Loss_D_real: -0.028380 Loss_D_fake 0.000050
[429/5000][365/535][44031] Loss_D: -0.027942 Loss_G: 0.031371 Loss_D_real: -0.021826 Loss_D_fake 0.006117
[429/5000][370/535][44032] Loss_D: -0.028840 Loss_G: 0.011843 Loss_D_real: -0.026988 Loss_D_fake 0.001853
[429/5000][375/535][44033] Loss_D: -0.028455 Loss_G: 0.011162 Loss_D_real: -0.026488 Loss_D_fake 0.001968
[429/5000][380/535][44034] Loss_D: -0.027231 Loss_G: 0.002037 Loss_D_real: -0.018574 Loss_D_fake 0.008657
[429/5000][385/535][44035] Loss_D: -0.027974 Loss_G: 0.019613 Loss_D_real: -0.017936 Loss_D_fake 0.010038
[429/5000][390/535][44036] Loss_D: -0.028309 Loss_G: 0.003602 Loss_D_real: -0.009226 Loss_D_fake 0.019083
[429/5000][395/535][44037] Loss_D: -0.028449 Loss_G: 0.004557 Loss_D_real: -0.009595 Loss_D_fake 0.018854
[429/5000][400/535][44038] Loss_D: -0.028142 Loss_G: 0.003994 Loss_D_real: -0.014666 Loss_D_fake 0.013476
[429/5000][405/535][44039] Loss_D: -0.028334 Loss_G: 0.010408 Loss_D_real: -0.014834 Loss_D_fake 0.013500
[429/5000][410/535][44040] Loss_D: -0.028210 Loss_G: 0.003515 Loss_D_real: -0.013432 Loss_D_fake 0.014778
[429/5000][415/535][44041] Loss_D: -0.026889 Loss_G: 0.027035 Loss_D_real: -0.025697 Loss_D_fake 0.001192
[429/5000][420/535][44042] Loss_D: -0.029137 Loss_G: 0.001778 Loss_D_real: -0.021472 Loss_D_fake 0.007664
[429/5000][425/535][44043] Loss_D: -0.029125 Loss_G: 0.019070 Loss_D_real: -0.022765 Loss_D_fake 0.006360
[429/5000][430/535][44044] Loss_D: -0.028498 Loss_G: 0.023764 Loss_D_real: -0.028732 Loss_D_fake -0.000234
[429/5000][435/535][44045] Loss_D: -0.028502 Loss_G: 0.015880 Loss_D_real: -0.021695 Loss_D_fake 0.006807
[429/5000][440/535][44046] Loss_D: -0.029094 Loss_G: 0.018164 Loss_D_real: -0.024697 Loss_D_fake 0.004397
[429/5000][445/535][44047] Loss_D: -0.025959 Loss_G: 0.007657 Loss_D_real: -0.009710 Loss_D_fake 0.016249
[429/5000][450/535][44048] Loss_D: -0.027399 Loss_G: 0.037095 Loss_D_real: -0.032904 Loss_D_fake -0.005505
[429/5000][455/535][44049] Loss_D: -0.028189 Loss_G: 0.006156 Loss_D_real: -0.016546 Loss_D_fake 0.011643
[429/5000][460/535][44050] Loss_D: -0.028290 Loss_G: 0.036587 Loss_D_real: -0.040245 Loss_D_fake -0.011955
[429/5000][465/535][44051] Loss_D: -0.027831 Loss_G: 0.014536 Loss_D_real: -0.017416 Loss_D_fake 0.010415
[429/5000][470/535][44052] Loss_D: -0.029844 Loss_G: 0.013736 Loss_D_real: -0.024603 Loss_D_fake 0.005242
[429/5000][475/535][44053] Loss_D: -0.028168 Loss_G: 0.007746 Loss_D_real: -0.017482 Loss_D_fake 0.010686
[429/5000][480/535][44054] Loss_D: -0.028071 Loss_G: 0.016984 Loss_D_real: -0.021887 Loss_D_fake 0.006183
[429/5000][485/535][44055] Loss_D: -0.029652 Loss_G: 0.029067 Loss_D_real: -0.022761 Loss_D_fake 0.006891
[429/5000][490/535][44056] Loss_D: -0.029557 Loss_G: 0.010299 Loss_D_real: -0.013065 Loss_D_fake 0.016492
[429/5000][495/535][44057] Loss_D: -0.029069 Loss_G: 0.012518 Loss_D_real: -0.021247 Loss_D_fake 0.007822
[429/5000][500/535][44058] Loss_D: -0.029755 Loss_G: 0.036806 Loss_D_real: -0.030936 Loss_D_fake -0.001181
[429/5000][505/535][44059] Loss_D: -0.026916 Loss_G: -0.004240 Loss_D_real: -0.008331 Loss_D_fake 0.018584
[429/5000][510/535][44060] Loss_D: -0.027757 Loss_G: 0.027485 Loss_D_real: -0.033117 Loss_D_fake -0.005360
[429/5000][515/535][44061] Loss_D: -0.028931 Loss_G: 0.007700 Loss_D_real: -0.018754 Loss_D_fake 0.010177
[429/5000][520/535][44062] Loss_D: -0.028040 Loss_G: 0.001899 Loss_D_real: -0.004149 Loss_D_fake 0.023891
[429/5000][525/535][44063] Loss_D: -0.028329 Loss_G: 0.014840 Loss_D_real: -0.022465 Loss_D_fake 0.005865
[429/5000][530/535][44064] Loss_D: -0.027470 Loss_G: 0.031691 Loss_D_real: -0.026773 Loss_D_fake 0.000697
[429/5000][535/535][44065] Loss_D: -0.028183 Loss_G: -0.015236 Loss_D_real: -0.008144 Loss_D_fake 0.020040
[430/5000][5/535][44066] Loss_D: -0.026019 Loss_G: 0.007396 Loss_D_real: -0.007733 Loss_D_fake 0.018285
[430/5000][10/535][44067] Loss_D: -0.026708 Loss_G: 0.028353 Loss_D_real: -0.024585 Loss_D_fake 0.002123
[430/5000][15/535][44068] Loss_D: -0.028125 Loss_G: 0.032229 Loss_D_real: -0.022276 Loss_D_fake 0.005850
[430/5000][20/535][44069] Loss_D: -0.027842 Loss_G: 0.032787 Loss_D_real: -0.033825 Loss_D_fake -0.005983
[430/5000][25/535][44070] Loss_D: -0.028045 Loss_G: 0.017585 Loss_D_real: -0.021858 Loss_D_fake 0.006186
[430/5000][30/535][44071] Loss_D: -0.028214 Loss_G: 0.018783 Loss_D_real: -0.017777 Loss_D_fake 0.010437
[430/5000][35/535][44072] Loss_D: -0.027799 Loss_G: 0.025200 Loss_D_real: -0.030021 Loss_D_fake -0.002222
[430/5000][40/535][44073] Loss_D: -0.028793 Loss_G: 0.033551 Loss_D_real: -0.030244 Loss_D_fake -0.001451
[430/5000][45/535][44074] Loss_D: -0.029923 Loss_G: 0.004850 Loss_D_real: -0.014515 Loss_D_fake 0.015409
[430/5000][50/535][44075] Loss_D: -0.027906 Loss_G: 0.014712 Loss_D_real: -0.018817 Loss_D_fake 0.009089
[430/5000][55/535][44076] Loss_D: -0.026740 Loss_G: 0.027358 Loss_D_real: -0.033287 Loss_D_fake -0.006546
[430/5000][60/535][44077] Loss_D: -0.029843 Loss_G: 0.005212 Loss_D_real: -0.015199 Loss_D_fake 0.014644
[430/5000][65/535][44078] Loss_D: -0.027792 Loss_G: 0.016538 Loss_D_real: -0.023164 Loss_D_fake 0.004629
[430/5000][70/535][44079] Loss_D: -0.026399 Loss_G: -0.020067 Loss_D_real: 0.010058 Loss_D_fake 0.036457
[430/5000][75/535][44080] Loss_D: -0.028212 Loss_G: 0.014862 Loss_D_real: -0.020556 Loss_D_fake 0.007656
[430/5000][80/535][44081] Loss_D: -0.026633 Loss_G: 0.020883 Loss_D_real: -0.023662 Loss_D_fake 0.002971
[430/5000][85/535][44082] Loss_D: -0.028563 Loss_G: 0.001543 Loss_D_real: -0.008223 Loss_D_fake 0.020340
[430/5000][90/535][44083] Loss_D: -0.026948 Loss_G: 0.027925 Loss_D_real: -0.032711 Loss_D_fake -0.005763
[430/5000][95/535][44084] Loss_D: -0.028505 Loss_G: -0.004562 Loss_D_real: -0.007377 Loss_D_fake 0.021128
[430/5000][100/535][44085] Loss_D: -0.028657 Loss_G: 0.007879 Loss_D_real: -0.012261 Loss_D_fake 0.016396
[430/5000][105/535][44086] Loss_D: -0.026923 Loss_G: 0.028470 Loss_D_real: -0.028403 Loss_D_fake -0.001480
[430/5000][110/535][44087] Loss_D: -0.028148 Loss_G: -0.018109 Loss_D_real: 0.005953 Loss_D_fake 0.034102
[430/5000][115/535][44088] Loss_D: -0.026716 Loss_G: 0.010900 Loss_D_real: -0.016043 Loss_D_fake 0.010673
[430/5000][120/535][44089] Loss_D: -0.027651 Loss_G: 0.001299 Loss_D_real: -0.013743 Loss_D_fake 0.013908
[430/5000][125/535][44090] Loss_D: -0.029146 Loss_G: 0.018359 Loss_D_real: -0.022113 Loss_D_fake 0.007033
[430/5000][130/535][44091] Loss_D: -0.028159 Loss_G: 0.016000 Loss_D_real: -0.017052 Loss_D_fake 0.011107
[430/5000][135/535][44092] Loss_D: -0.029625 Loss_G: 0.028284 Loss_D_real: -0.022781 Loss_D_fake 0.006844
[430/5000][140/535][44093] Loss_D: -0.029372 Loss_G: 0.017265 Loss_D_real: -0.015186 Loss_D_fake 0.014186
[430/5000][145/535][44094] Loss_D: -0.029317 Loss_G: 0.018244 Loss_D_real: -0.026217 Loss_D_fake 0.003100
[430/5000][150/535][44095] Loss_D: -0.028998 Loss_G: 0.015033 Loss_D_real: -0.015377 Loss_D_fake 0.013621
[430/5000][155/535][44096] Loss_D: -0.026092 Loss_G: -0.017608 Loss_D_real: 0.002289 Loss_D_fake 0.028382
[430/5000][160/535][44097] Loss_D: -0.026758 Loss_G: 0.020695 Loss_D_real: -0.025946 Loss_D_fake 0.000812
[430/5000][165/535][44098] Loss_D: -0.028674 Loss_G: 0.009598 Loss_D_real: -0.015419 Loss_D_fake 0.013255
[430/5000][170/535][44099] Loss_D: -0.025702 Loss_G: -0.013487 Loss_D_real: 0.000146 Loss_D_fake 0.025848
[430/5000][175/535][44100] Loss_D: -0.026934 Loss_G: 0.022551 Loss_D_real: -0.024566 Loss_D_fake 0.002368
[430/5000][180/535][44101] Loss_D: -0.027190 Loss_G: 0.001088 Loss_D_real: 0.002173 Loss_D_fake 0.029363
[430/5000][185/535][44102] Loss_D: -0.025860 Loss_G: 0.031764 Loss_D_real: -0.021922 Loss_D_fake 0.003939
[430/5000][190/535][44103] Loss_D: -0.026998 Loss_G: 0.034647 Loss_D_real: -0.035315 Loss_D_fake -0.008317
[430/5000][195/535][44104] Loss_D: -0.028475 Loss_G: 0.012821 Loss_D_real: -0.016998 Loss_D_fake 0.011477
[430/5000][200/535][44105] Loss_D: -0.027072 Loss_G: 0.038287 Loss_D_real: -0.032286 Loss_D_fake -0.005214
[430/5000][205/535][44106] Loss_D: -0.028145 Loss_G: 0.010699 Loss_D_real: -0.012186 Loss_D_fake 0.015959
[430/5000][210/535][44107] Loss_D: -0.027476 Loss_G: 0.005430 Loss_D_real: -0.019009 Loss_D_fake 0.008467
[430/5000][215/535][44108] Loss_D: -0.028466 Loss_G: 0.012888 Loss_D_real: -0.020566 Loss_D_fake 0.007900
[430/5000][220/535][44109] Loss_D: -0.027826 Loss_G: -0.007708 Loss_D_real: 0.000032 Loss_D_fake 0.027858
[430/5000][225/535][44110] Loss_D: -0.028501 Loss_G: 0.024013 Loss_D_real: -0.035774 Loss_D_fake -0.007273
[430/5000][230/535][44111] Loss_D: -0.028788 Loss_G: -0.000874 Loss_D_real: -0.000265 Loss_D_fake 0.028523
[430/5000][235/535][44112] Loss_D: -0.028546 Loss_G: -0.003996 Loss_D_real: -0.006045 Loss_D_fake 0.022501
[430/5000][240/535][44113] Loss_D: -0.028213 Loss_G: 0.029020 Loss_D_real: -0.027517 Loss_D_fake 0.000696
[430/5000][245/535][44114] Loss_D: -0.028621 Loss_G: 0.000572 Loss_D_real: -0.005350 Loss_D_fake 0.023272
[430/5000][250/535][44115] Loss_D: -0.027067 Loss_G: 0.028289 Loss_D_real: -0.030056 Loss_D_fake -0.002989
[430/5000][255/535][44116] Loss_D: -0.027344 Loss_G: 0.019725 Loss_D_real: -0.025274 Loss_D_fake 0.002070
[430/5000][260/535][44117] Loss_D: -0.030195 Loss_G: 0.015178 Loss_D_real: -0.015645 Loss_D_fake 0.014550
[430/5000][265/535][44118] Loss_D: -0.027311 Loss_G: 0.021207 Loss_D_real: -0.029431 Loss_D_fake -0.002121
[430/5000][270/535][44119] Loss_D: -0.029019 Loss_G: 0.019739 Loss_D_real: -0.026259 Loss_D_fake 0.002760
[430/5000][275/535][44120] Loss_D: -0.029480 Loss_G: 0.000666 Loss_D_real: -0.010393 Loss_D_fake 0.019087
[430/5000][280/535][44121] Loss_D: -0.027855 Loss_G: 0.019049 Loss_D_real: -0.032106 Loss_D_fake -0.004251
[430/5000][285/535][44122] Loss_D: -0.028650 Loss_G: 0.006865 Loss_D_real: -0.010217 Loss_D_fake 0.018433
[430/5000][290/535][44123] Loss_D: -0.027905 Loss_G: 0.022796 Loss_D_real: -0.034698 Loss_D_fake -0.006793
[430/5000][295/535][44124] Loss_D: -0.028693 Loss_G: 0.015461 Loss_D_real: -0.012526 Loss_D_fake 0.016167
[430/5000][300/535][44125] Loss_D: -0.026609 Loss_G: 0.011259 Loss_D_real: -0.016011 Loss_D_fake 0.010598
[430/5000][305/535][44126] Loss_D: -0.029117 Loss_G: 0.012584 Loss_D_real: -0.012213 Loss_D_fake 0.016905
[430/5000][310/535][44127] Loss_D: -0.027280 Loss_G: 0.022066 Loss_D_real: -0.024501 Loss_D_fake 0.002779
[430/5000][315/535][44128] Loss_D: -0.027644 Loss_G: 0.017133 Loss_D_real: -0.025766 Loss_D_fake 0.001879
[430/5000][320/535][44129] Loss_D: -0.029336 Loss_G: 0.031075 Loss_D_real: -0.030254 Loss_D_fake -0.000918
[430/5000][325/535][44130] Loss_D: -0.027319 Loss_G: -0.012342 Loss_D_real: 0.005045 Loss_D_fake 0.032364
[430/5000][330/535][44131] Loss_D: -0.027724 Loss_G: 0.017935 Loss_D_real: -0.023547 Loss_D_fake 0.004178
[430/5000][335/535][44132] Loss_D: -0.028361 Loss_G: 0.031088 Loss_D_real: -0.030964 Loss_D_fake -0.002603
[430/5000][340/535][44133] Loss_D: -0.026809 Loss_G: 0.006882 Loss_D_real: -0.002665 Loss_D_fake 0.024144
[430/5000][345/535][44134] Loss_D: -0.027616 Loss_G: 0.027154 Loss_D_real: -0.025190 Loss_D_fake 0.002426
[430/5000][350/535][44135] Loss_D: -0.026725 Loss_G: -0.015208 Loss_D_real: 0.003052 Loss_D_fake 0.029777
[430/5000][355/535][44136] Loss_D: -0.027523 Loss_G: -0.003949 Loss_D_real: -0.005639 Loss_D_fake 0.021884
[430/5000][360/535][44137] Loss_D: -0.027649 Loss_G: 0.019914 Loss_D_real: -0.021657 Loss_D_fake 0.005992
[430/5000][365/535][44138] Loss_D: -0.029058 Loss_G: 0.022665 Loss_D_real: -0.028841 Loss_D_fake 0.000217
[430/5000][370/535][44139] Loss_D: -0.028539 Loss_G: 0.012787 Loss_D_real: -0.020498 Loss_D_fake 0.008041
[430/5000][375/535][44140] Loss_D: -0.027844 Loss_G: 0.003770 Loss_D_real: -0.012643 Loss_D_fake 0.015200
[430/5000][380/535][44141] Loss_D: -0.026781 Loss_G: 0.019839 Loss_D_real: -0.027635 Loss_D_fake -0.000853
[430/5000][385/535][44142] Loss_D: -0.028899 Loss_G: 0.025188 Loss_D_real: -0.023660 Loss_D_fake 0.005239
[430/5000][390/535][44143] Loss_D: -0.027529 Loss_G: 0.008665 Loss_D_real: -0.007357 Loss_D_fake 0.020172
[430/5000][395/535][44144] Loss_D: -0.026585 Loss_G: 0.009151 Loss_D_real: -0.014545 Loss_D_fake 0.012040
[430/5000][400/535][44145] Loss_D: -0.029054 Loss_G: 0.013788 Loss_D_real: -0.017111 Loss_D_fake 0.011943
[430/5000][405/535][44146] Loss_D: -0.028545 Loss_G: 0.010471 Loss_D_real: -0.009062 Loss_D_fake 0.019482
[430/5000][410/535][44147] Loss_D: -0.029147 Loss_G: 0.021175 Loss_D_real: -0.026861 Loss_D_fake 0.002286
[430/5000][415/535][44148] Loss_D: -0.028021 Loss_G: 0.006609 Loss_D_real: -0.012880 Loss_D_fake 0.015142
[430/5000][420/535][44149] Loss_D: -0.028234 Loss_G: 0.019879 Loss_D_real: -0.019602 Loss_D_fake 0.008632
[430/5000][425/535][44150] Loss_D: -0.028706 Loss_G: 0.022863 Loss_D_real: -0.023364 Loss_D_fake 0.005342
[430/5000][430/535][44151] Loss_D: -0.027506 Loss_G: -0.001383 Loss_D_real: -0.009057 Loss_D_fake 0.018449
[430/5000][435/535][44152] Loss_D: -0.027487 Loss_G: -0.005800 Loss_D_real: -0.008832 Loss_D_fake 0.018656
[430/5000][440/535][44153] Loss_D: -0.026813 Loss_G: 0.030981 Loss_D_real: -0.032118 Loss_D_fake -0.005305
[430/5000][445/535][44154] Loss_D: -0.029403 Loss_G: 0.002710 Loss_D_real: -0.008162 Loss_D_fake 0.021241
[430/5000][450/535][44155] Loss_D: -0.028789 Loss_G: 0.003322 Loss_D_real: -0.015138 Loss_D_fake 0.013652
[430/5000][455/535][44156] Loss_D: -0.027352 Loss_G: 0.046075 Loss_D_real: -0.037345 Loss_D_fake -0.009993
[430/5000][460/535][44157] Loss_D: -0.028591 Loss_G: 0.019401 Loss_D_real: -0.025232 Loss_D_fake 0.003359
[430/5000][465/535][44158] Loss_D: -0.026729 Loss_G: 0.040934 Loss_D_real: -0.030943 Loss_D_fake -0.004214
[430/5000][470/535][44159] Loss_D: -0.027829 Loss_G: 0.023324 Loss_D_real: -0.022729 Loss_D_fake 0.005100
[430/5000][475/535][44160] Loss_D: -0.028574 Loss_G: 0.000313 Loss_D_real: -0.009919 Loss_D_fake 0.018655
[430/5000][480/535][44161] Loss_D: -0.027840 Loss_G: 0.021161 Loss_D_real: -0.020172 Loss_D_fake 0.007668
[430/5000][485/535][44162] Loss_D: -0.029246 Loss_G: 0.016623 Loss_D_real: -0.017462 Loss_D_fake 0.011784
[430/5000][490/535][44163] Loss_D: -0.029304 Loss_G: 0.028635 Loss_D_real: -0.026021 Loss_D_fake 0.003283
[430/5000][495/535][44164] Loss_D: -0.027587 Loss_G: 0.021620 Loss_D_real: -0.023816 Loss_D_fake 0.003772
[430/5000][500/535][44165] Loss_D: -0.028479 Loss_G: 0.020771 Loss_D_real: -0.022856 Loss_D_fake 0.005624
[430/5000][505/535][44166] Loss_D: -0.027789 Loss_G: 0.020429 Loss_D_real: -0.016057 Loss_D_fake 0.011732
[430/5000][510/535][44167] Loss_D: -0.028808 Loss_G: 0.031918 Loss_D_real: -0.024738 Loss_D_fake 0.004069
[430/5000][515/535][44168] Loss_D: -0.027364 Loss_G: -0.009734 Loss_D_real: -0.000812 Loss_D_fake 0.026553
[430/5000][520/535][44169] Loss_D: -0.026736 Loss_G: 0.028392 Loss_D_real: -0.019375 Loss_D_fake 0.007362
[430/5000][525/535][44170] Loss_D: -0.028611 Loss_G: 0.012746 Loss_D_real: -0.024424 Loss_D_fake 0.004187
[430/5000][530/535][44171] Loss_D: -0.027586 Loss_G: -0.006249 Loss_D_real: -0.005769 Loss_D_fake 0.021817
[430/5000][535/535][44172] Loss_D: -0.030561 Loss_G: -0.011646 Loss_D_real: -0.028025 Loss_D_fake 0.002536
[431/5000][5/535][44173] Loss_D: -0.024926 Loss_G: 0.034362 Loss_D_real: -0.035078 Loss_D_fake -0.010152
[431/5000][10/535][44174] Loss_D: -0.027412 Loss_G: 0.011569 Loss_D_real: -0.012364 Loss_D_fake 0.015048
[431/5000][15/535][44175] Loss_D: -0.027056 Loss_G: 0.030519 Loss_D_real: -0.022817 Loss_D_fake 0.004239
[431/5000][20/535][44176] Loss_D: -0.027565 Loss_G: -0.002458 Loss_D_real: -0.004833 Loss_D_fake 0.022731
[431/5000][25/535][44177] Loss_D: -0.028144 Loss_G: 0.023165 Loss_D_real: -0.027266 Loss_D_fake 0.000878
[431/5000][30/535][44178] Loss_D: -0.027833 Loss_G: 0.015374 Loss_D_real: -0.015463 Loss_D_fake 0.012369
[431/5000][35/535][44179] Loss_D: -0.027649 Loss_G: 0.016381 Loss_D_real: -0.019807 Loss_D_fake 0.007842
[431/5000][40/535][44180] Loss_D: -0.027914 Loss_G: 0.003836 Loss_D_real: -0.015013 Loss_D_fake 0.012901
[431/5000][45/535][44181] Loss_D: -0.029299 Loss_G: 0.021234 Loss_D_real: -0.019738 Loss_D_fake 0.009561
[431/5000][50/535][44182] Loss_D: -0.028458 Loss_G: -0.004104 Loss_D_real: -0.008671 Loss_D_fake 0.019787
[431/5000][55/535][44183] Loss_D: -0.028995 Loss_G: 0.023269 Loss_D_real: -0.020313 Loss_D_fake 0.008681
[431/5000][60/535][44184] Loss_D: -0.027199 Loss_G: -0.008803 Loss_D_real: -0.010781 Loss_D_fake 0.016418
[431/5000][65/535][44185] Loss_D: -0.027767 Loss_G: 0.030390 Loss_D_real: -0.027248 Loss_D_fake 0.000519
[431/5000][70/535][44186] Loss_D: -0.026989 Loss_G: -0.000827 Loss_D_real: -0.004999 Loss_D_fake 0.021991
[431/5000][75/535][44187] Loss_D: -0.027226 Loss_G: 0.031253 Loss_D_real: -0.024533 Loss_D_fake 0.002693
[431/5000][80/535][44188] Loss_D: -0.027045 Loss_G: 0.009028 Loss_D_real: -0.009955 Loss_D_fake 0.017090
[431/5000][85/535][44189] Loss_D: -0.026507 Loss_G: 0.000413 Loss_D_real: -0.007483 Loss_D_fake 0.019024
[431/5000][90/535][44190] Loss_D: -0.027537 Loss_G: 0.001660 Loss_D_real: -0.019842 Loss_D_fake 0.007695
[431/5000][95/535][44191] Loss_D: -0.027071 Loss_G: 0.037859 Loss_D_real: -0.039721 Loss_D_fake -0.012650
[431/5000][100/535][44192] Loss_D: -0.028177 Loss_G: 0.024211 Loss_D_real: -0.021556 Loss_D_fake 0.006621
[431/5000][105/535][44193] Loss_D: -0.029950 Loss_G: 0.015488 Loss_D_real: -0.014611 Loss_D_fake 0.015339
[431/5000][110/535][44194] Loss_D: -0.027962 Loss_G: 0.045797 Loss_D_real: -0.034154 Loss_D_fake -0.006192
[431/5000][115/535][44195] Loss_D: -0.027817 Loss_G: 0.008924 Loss_D_real: -0.004131 Loss_D_fake 0.023686
[431/5000][120/535][44196] Loss_D: -0.028108 Loss_G: 0.003716 Loss_D_real: -0.011691 Loss_D_fake 0.016417
[431/5000][125/535][44197] Loss_D: -0.029138 Loss_G: 0.009397 Loss_D_real: -0.025807 Loss_D_fake 0.003331
[431/5000][130/535][44198] Loss_D: -0.028621 Loss_G: 0.034756 Loss_D_real: -0.025125 Loss_D_fake 0.003496
[431/5000][135/535][44199] Loss_D: -0.027509 Loss_G: 0.034347 Loss_D_real: -0.033865 Loss_D_fake -0.006356
[431/5000][140/535][44200] Loss_D: -0.029436 Loss_G: 0.004852 Loss_D_real: -0.007489 Loss_D_fake 0.021948
[431/5000][145/535][44201] Loss_D: -0.028141 Loss_G: 0.010280 Loss_D_real: -0.023633 Loss_D_fake 0.004507
[431/5000][150/535][44202] Loss_D: -0.028152 Loss_G: 0.027976 Loss_D_real: -0.035141 Loss_D_fake -0.006989
[431/5000][155/535][44203] Loss_D: -0.027331 Loss_G: -0.009396 Loss_D_real: -0.001542 Loss_D_fake 0.025789
[431/5000][160/535][44204] Loss_D: -0.027486 Loss_G: 0.013721 Loss_D_real: -0.020575 Loss_D_fake 0.006911
[431/5000][165/535][44205] Loss_D: -0.029174 Loss_G: 0.011019 Loss_D_real: -0.019508 Loss_D_fake 0.009666
[431/5000][170/535][44206] Loss_D: -0.028138 Loss_G: 0.014293 Loss_D_real: -0.015074 Loss_D_fake 0.013064
[431/5000][175/535][44207] Loss_D: -0.027588 Loss_G: 0.004775 Loss_D_real: -0.008687 Loss_D_fake 0.018901
[431/5000][180/535][44208] Loss_D: -0.027386 Loss_G: 0.034653 Loss_D_real: -0.032011 Loss_D_fake -0.004625
[431/5000][185/535][44209] Loss_D: -0.029160 Loss_G: -0.002911 Loss_D_real: -0.009561 Loss_D_fake 0.019598
[431/5000][190/535][44210] Loss_D: -0.027767 Loss_G: 0.018652 Loss_D_real: -0.026097 Loss_D_fake 0.001670
[431/5000][195/535][44211] Loss_D: -0.028781 Loss_G: 0.021378 Loss_D_real: -0.014368 Loss_D_fake 0.014413
[431/5000][200/535][44212] Loss_D: -0.027793 Loss_G: 0.025229 Loss_D_real: -0.023712 Loss_D_fake 0.004081
[431/5000][205/535][44213] Loss_D: -0.029033 Loss_G: 0.013219 Loss_D_real: -0.014545 Loss_D_fake 0.014488
[431/5000][210/535][44214] Loss_D: -0.028683 Loss_G: 0.019214 Loss_D_real: -0.010052 Loss_D_fake 0.018631
[431/5000][215/535][44215] Loss_D: -0.027897 Loss_G: 0.010651 Loss_D_real: -0.016934 Loss_D_fake 0.010963
[431/5000][220/535][44216] Loss_D: -0.028625 Loss_G: 0.010310 Loss_D_real: -0.012928 Loss_D_fake 0.015697
[431/5000][225/535][44217] Loss_D: -0.028163 Loss_G: 0.010105 Loss_D_real: -0.016225 Loss_D_fake 0.011938
[431/5000][230/535][44218] Loss_D: -0.027344 Loss_G: -0.011070 Loss_D_real: -0.003565 Loss_D_fake 0.023779
[431/5000][235/535][44219] Loss_D: -0.027167 Loss_G: 0.028498 Loss_D_real: -0.037429 Loss_D_fake -0.010262
[431/5000][240/535][44220] Loss_D: -0.026795 Loss_G: 0.026514 Loss_D_real: -0.021512 Loss_D_fake 0.005283
[431/5000][245/535][44221] Loss_D: -0.027890 Loss_G: 0.044509 Loss_D_real: -0.029645 Loss_D_fake -0.001754
[431/5000][250/535][44222] Loss_D: -0.028158 Loss_G: 0.014728 Loss_D_real: -0.022499 Loss_D_fake 0.005660
[431/5000][255/535][44223] Loss_D: -0.028161 Loss_G: 0.023175 Loss_D_real: -0.020293 Loss_D_fake 0.007869
[431/5000][260/535][44224] Loss_D: -0.028714 Loss_G: 0.001539 Loss_D_real: -0.011332 Loss_D_fake 0.017383
[431/5000][265/535][44225] Loss_D: -0.028346 Loss_G: 0.030084 Loss_D_real: -0.027281 Loss_D_fake 0.001065
[431/5000][270/535][44226] Loss_D: -0.027584 Loss_G: 0.014689 Loss_D_real: -0.017967 Loss_D_fake 0.009617
[431/5000][275/535][44227] Loss_D: -0.027332 Loss_G: 0.034254 Loss_D_real: -0.036118 Loss_D_fake -0.008786
[431/5000][280/535][44228] Loss_D: -0.026760 Loss_G: 0.002674 Loss_D_real: -0.010042 Loss_D_fake 0.016718
[431/5000][285/535][44229] Loss_D: -0.026865 Loss_G: 0.025421 Loss_D_real: -0.026466 Loss_D_fake 0.000399
[431/5000][290/535][44230] Loss_D: -0.028076 Loss_G: 0.016923 Loss_D_real: -0.015657 Loss_D_fake 0.012419
[431/5000][295/535][44231] Loss_D: -0.028259 Loss_G: 0.022881 Loss_D_real: -0.015857 Loss_D_fake 0.012402
[431/5000][300/535][44232] Loss_D: -0.028083 Loss_G: 0.008782 Loss_D_real: -0.010654 Loss_D_fake 0.017429
[431/5000][305/535][44233] Loss_D: -0.029441 Loss_G: 0.023421 Loss_D_real: -0.034361 Loss_D_fake -0.004919
[431/5000][310/535][44234] Loss_D: -0.028561 Loss_G: -0.001216 Loss_D_real: -0.008086 Loss_D_fake 0.020475
[431/5000][315/535][44235] Loss_D: -0.027216 Loss_G: 0.012867 Loss_D_real: -0.025584 Loss_D_fake 0.001632
[431/5000][320/535][44236] Loss_D: -0.028706 Loss_G: 0.020574 Loss_D_real: -0.028308 Loss_D_fake 0.000399
[431/5000][325/535][44237] Loss_D: -0.029874 Loss_G: 0.004558 Loss_D_real: -0.019962 Loss_D_fake 0.009912
[431/5000][330/535][44238] Loss_D: -0.028134 Loss_G: 0.030556 Loss_D_real: -0.031358 Loss_D_fake -0.003223
[431/5000][335/535][44239] Loss_D: -0.027984 Loss_G: 0.005700 Loss_D_real: -0.001029 Loss_D_fake 0.026955
[431/5000][340/535][44240] Loss_D: -0.027226 Loss_G: 0.002455 Loss_D_real: -0.007870 Loss_D_fake 0.019355
[431/5000][345/535][44241] Loss_D: -0.028852 Loss_G: 0.025241 Loss_D_real: -0.024361 Loss_D_fake 0.004491
[431/5000][350/535][44242] Loss_D: -0.028294 Loss_G: 0.021365 Loss_D_real: -0.021189 Loss_D_fake 0.007104
[431/5000][355/535][44243] Loss_D: -0.026334 Loss_G: 0.035211 Loss_D_real: -0.040473 Loss_D_fake -0.014140
[431/5000][360/535][44244] Loss_D: -0.028513 Loss_G: -0.000461 Loss_D_real: 0.001674 Loss_D_fake 0.030187
[431/5000][365/535][44245] Loss_D: -0.028431 Loss_G: 0.006402 Loss_D_real: -0.015553 Loss_D_fake 0.012878
[431/5000][370/535][44246] Loss_D: -0.029588 Loss_G: 0.021247 Loss_D_real: -0.016729 Loss_D_fake 0.012859
[431/5000][375/535][44247] Loss_D: -0.027229 Loss_G: 0.034210 Loss_D_real: -0.034409 Loss_D_fake -0.007180
[431/5000][380/535][44248] Loss_D: -0.028150 Loss_G: -0.002122 Loss_D_real: -0.002442 Loss_D_fake 0.025709
[431/5000][385/535][44249] Loss_D: -0.027640 Loss_G: 0.003935 Loss_D_real: -0.007820 Loss_D_fake 0.019820
[431/5000][390/535][44250] Loss_D: -0.029368 Loss_G: 0.019927 Loss_D_real: -0.018170 Loss_D_fake 0.011198
[431/5000][395/535][44251] Loss_D: -0.028939 Loss_G: 0.003668 Loss_D_real: -0.009899 Loss_D_fake 0.019040
[431/5000][400/535][44252] Loss_D: -0.028700 Loss_G: 0.033244 Loss_D_real: -0.030907 Loss_D_fake -0.002207
[431/5000][405/535][44253] Loss_D: -0.028193 Loss_G: -0.000094 Loss_D_real: -0.008094 Loss_D_fake 0.020099
[431/5000][410/535][44254] Loss_D: -0.028506 Loss_G: 0.015164 Loss_D_real: -0.021049 Loss_D_fake 0.007457
[431/5000][415/535][44255] Loss_D: -0.028411 Loss_G: 0.013682 Loss_D_real: -0.030187 Loss_D_fake -0.001776
[431/5000][420/535][44256] Loss_D: -0.027758 Loss_G: 0.028110 Loss_D_real: -0.029127 Loss_D_fake -0.001368
[431/5000][425/535][44257] Loss_D: -0.028073 Loss_G: 0.006122 Loss_D_real: -0.007161 Loss_D_fake 0.020912
[431/5000][430/535][44258] Loss_D: -0.028198 Loss_G: 0.020771 Loss_D_real: -0.013217 Loss_D_fake 0.014981
[431/5000][435/535][44259] Loss_D: -0.027437 Loss_G: 0.001210 Loss_D_real: -0.005881 Loss_D_fake 0.021556
[431/5000][440/535][44260] Loss_D: -0.027518 Loss_G: 0.006436 Loss_D_real: -0.026783 Loss_D_fake 0.000735
[431/5000][445/535][44261] Loss_D: -0.028559 Loss_G: 0.019928 Loss_D_real: -0.021976 Loss_D_fake 0.006584
[431/5000][450/535][44262] Loss_D: -0.027396 Loss_G: -0.004378 Loss_D_real: -0.002086 Loss_D_fake 0.025310
[431/5000][455/535][44263] Loss_D: -0.029029 Loss_G: 0.005833 Loss_D_real: -0.024284 Loss_D_fake 0.004745
[431/5000][460/535][44264] Loss_D: -0.029635 Loss_G: 0.008820 Loss_D_real: -0.010601 Loss_D_fake 0.019035
[431/5000][465/535][44265] Loss_D: -0.027808 Loss_G: 0.011200 Loss_D_real: -0.019595 Loss_D_fake 0.008214
[431/5000][470/535][44266] Loss_D: -0.028829 Loss_G: 0.018222 Loss_D_real: -0.015008 Loss_D_fake 0.013822
[431/5000][475/535][44267] Loss_D: -0.028025 Loss_G: 0.034943 Loss_D_real: -0.029017 Loss_D_fake -0.000992
[431/5000][480/535][44268] Loss_D: -0.026778 Loss_G: -0.009733 Loss_D_real: -0.001708 Loss_D_fake 0.025071
[431/5000][485/535][44269] Loss_D: -0.028419 Loss_G: 0.014587 Loss_D_real: -0.021647 Loss_D_fake 0.006772
[431/5000][490/535][44270] Loss_D: -0.026129 Loss_G: 0.024369 Loss_D_real: -0.033507 Loss_D_fake -0.007378
[431/5000][495/535][44271] Loss_D: -0.027357 Loss_G: 0.019357 Loss_D_real: -0.024217 Loss_D_fake 0.003140
[431/5000][500/535][44272] Loss_D: -0.029030 Loss_G: -0.003600 Loss_D_real: -0.014270 Loss_D_fake 0.014759
[431/5000][505/535][44273] Loss_D: -0.027831 Loss_G: 0.032623 Loss_D_real: -0.030336 Loss_D_fake -0.002504
[431/5000][510/535][44274] Loss_D: -0.029065 Loss_G: 0.014154 Loss_D_real: -0.017433 Loss_D_fake 0.011632
[431/5000][515/535][44275] Loss_D: -0.027705 Loss_G: 0.003679 Loss_D_real: -0.010282 Loss_D_fake 0.017423
[431/5000][520/535][44276] Loss_D: -0.029982 Loss_G: 0.010241 Loss_D_real: -0.016201 Loss_D_fake 0.013782
[431/5000][525/535][44277] Loss_D: -0.028407 Loss_G: 0.018568 Loss_D_real: -0.020572 Loss_D_fake 0.007835
[431/5000][530/535][44278] Loss_D: -0.028396 Loss_G: 0.001686 Loss_D_real: -0.001898 Loss_D_fake 0.026498
[431/5000][535/535][44279] Loss_D: -0.031486 Loss_G: 0.005318 Loss_D_real: -0.014283 Loss_D_fake 0.017203
[432/5000][5/535][44280] Loss_D: -0.027774 Loss_G: 0.004862 Loss_D_real: -0.010007 Loss_D_fake 0.017767
[432/5000][10/535][44281] Loss_D: -0.029990 Loss_G: 0.024715 Loss_D_real: -0.022145 Loss_D_fake 0.007845
[432/5000][15/535][44282] Loss_D: -0.026952 Loss_G: 0.021913 Loss_D_real: -0.020942 Loss_D_fake 0.006010
[432/5000][20/535][44283] Loss_D: -0.026004 Loss_G: -0.026456 Loss_D_real: 0.000725 Loss_D_fake 0.026729
[432/5000][25/535][44284] Loss_D: -0.026502 Loss_G: 0.029466 Loss_D_real: -0.032164 Loss_D_fake -0.005662
[432/5000][30/535][44285] Loss_D: -0.026483 Loss_G: 0.013463 Loss_D_real: -0.013588 Loss_D_fake 0.012895
[432/5000][35/535][44286] Loss_D: -0.027430 Loss_G: 0.028256 Loss_D_real: -0.024045 Loss_D_fake 0.003385
[432/5000][40/535][44287] Loss_D: -0.028172 Loss_G: 0.017153 Loss_D_real: -0.013180 Loss_D_fake 0.014992
[432/5000][45/535][44288] Loss_D: -0.028740 Loss_G: 0.030853 Loss_D_real: -0.021704 Loss_D_fake 0.007036
[432/5000][50/535][44289] Loss_D: -0.028426 Loss_G: 0.015983 Loss_D_real: -0.013553 Loss_D_fake 0.014873
[432/5000][55/535][44290] Loss_D: -0.028771 Loss_G: -0.000266 Loss_D_real: -0.001183 Loss_D_fake 0.027587
[432/5000][60/535][44291] Loss_D: -0.028618 Loss_G: 0.028591 Loss_D_real: -0.018585 Loss_D_fake 0.010033
[432/5000][65/535][44292] Loss_D: -0.027350 Loss_G: 0.038920 Loss_D_real: -0.037469 Loss_D_fake -0.010118
[432/5000][70/535][44293] Loss_D: -0.029635 Loss_G: 0.005339 Loss_D_real: -0.015613 Loss_D_fake 0.014022
[432/5000][75/535][44294] Loss_D: -0.028820 Loss_G: 0.019370 Loss_D_real: -0.017601 Loss_D_fake 0.011219
[432/5000][80/535][44295] Loss_D: -0.028980 Loss_G: -0.002189 Loss_D_real: -0.007629 Loss_D_fake 0.021351
[432/5000][85/535][44296] Loss_D: -0.027820 Loss_G: 0.014581 Loss_D_real: -0.016097 Loss_D_fake 0.011724
[432/5000][90/535][44297] Loss_D: -0.027989 Loss_G: 0.007742 Loss_D_real: -0.004009 Loss_D_fake 0.023980
[432/5000][95/535][44298] Loss_D: -0.027840 Loss_G: 0.008504 Loss_D_real: -0.009153 Loss_D_fake 0.018687
[432/5000][100/535][44299] Loss_D: -0.028115 Loss_G: 0.023733 Loss_D_real: -0.026979 Loss_D_fake 0.001135
[432/5000][105/535][44300] Loss_D: -0.027797 Loss_G: 0.006513 Loss_D_real: -0.013356 Loss_D_fake 0.014441
[432/5000][110/535][44301] Loss_D: -0.027482 Loss_G: 0.030179 Loss_D_real: -0.028380 Loss_D_fake -0.000898
[432/5000][115/535][44302] Loss_D: -0.026809 Loss_G: -0.005229 Loss_D_real: 0.009436 Loss_D_fake 0.036245
[432/5000][120/535][44303] Loss_D: -0.026428 Loss_G: -0.002511 Loss_D_real: -0.006079 Loss_D_fake 0.020349
[432/5000][125/535][44304] Loss_D: -0.027389 Loss_G: 0.034047 Loss_D_real: -0.031183 Loss_D_fake -0.003794
[432/5000][130/535][44305] Loss_D: -0.028640 Loss_G: 0.013239 Loss_D_real: -0.024174 Loss_D_fake 0.004466
[432/5000][135/535][44306] Loss_D: -0.028166 Loss_G: 0.002082 Loss_D_real: -0.015815 Loss_D_fake 0.012351
[432/5000][140/535][44307] Loss_D: -0.027001 Loss_G: -0.003787 Loss_D_real: -0.012757 Loss_D_fake 0.014245
[432/5000][145/535][44308] Loss_D: -0.027734 Loss_G: 0.023870 Loss_D_real: -0.024916 Loss_D_fake 0.002818
[432/5000][150/535][44309] Loss_D: -0.028135 Loss_G: 0.029219 Loss_D_real: -0.026516 Loss_D_fake 0.001619
[432/5000][155/535][44310] Loss_D: -0.027516 Loss_G: 0.003529 Loss_D_real: -0.010241 Loss_D_fake 0.017276
[432/5000][160/535][44311] Loss_D: -0.026754 Loss_G: 0.027370 Loss_D_real: -0.024297 Loss_D_fake 0.002457
[432/5000][165/535][44312] Loss_D: -0.027292 Loss_G: 0.014125 Loss_D_real: -0.013545 Loss_D_fake 0.013747
[432/5000][170/535][44313] Loss_D: -0.028571 Loss_G: 0.021504 Loss_D_real: -0.020759 Loss_D_fake 0.007812
[432/5000][175/535][44314] Loss_D: -0.029104 Loss_G: 0.004994 Loss_D_real: -0.011396 Loss_D_fake 0.017709
[432/5000][180/535][44315] Loss_D: -0.027358 Loss_G: -0.010763 Loss_D_real: -0.005794 Loss_D_fake 0.021564
[432/5000][185/535][44316] Loss_D: -0.027091 Loss_G: 0.036342 Loss_D_real: -0.036375 Loss_D_fake -0.009283
[432/5000][190/535][44317] Loss_D: -0.028944 Loss_G: 0.003453 Loss_D_real: -0.014653 Loss_D_fake 0.014291
[432/5000][195/535][44318] Loss_D: -0.027222 Loss_G: 0.024465 Loss_D_real: -0.028154 Loss_D_fake -0.000932
[432/5000][200/535][44319] Loss_D: -0.028705 Loss_G: -0.000938 Loss_D_real: -0.006662 Loss_D_fake 0.022043
[432/5000][205/535][44320] Loss_D: -0.028071 Loss_G: 0.003163 Loss_D_real: -0.005230 Loss_D_fake 0.022842
[432/5000][210/535][44321] Loss_D: -0.025655 Loss_G: 0.006154 Loss_D_real: -0.009358 Loss_D_fake 0.016298
[432/5000][215/535][44322] Loss_D: -0.028128 Loss_G: 0.022171 Loss_D_real: -0.029408 Loss_D_fake -0.001280
[432/5000][220/535][44323] Loss_D: -0.028033 Loss_G: 0.021822 Loss_D_real: -0.016295 Loss_D_fake 0.011738
[432/5000][225/535][44324] Loss_D: -0.028481 Loss_G: 0.012737 Loss_D_real: -0.018632 Loss_D_fake 0.009850
[432/5000][230/535][44325] Loss_D: -0.028357 Loss_G: 0.023329 Loss_D_real: -0.020744 Loss_D_fake 0.007613
[432/5000][235/535][44326] Loss_D: -0.027990 Loss_G: 0.007108 Loss_D_real: -0.019079 Loss_D_fake 0.008911
[432/5000][240/535][44327] Loss_D: -0.027595 Loss_G: 0.036800 Loss_D_real: -0.030227 Loss_D_fake -0.002632
[432/5000][245/535][44328] Loss_D: -0.028455 Loss_G: 0.017713 Loss_D_real: -0.021717 Loss_D_fake 0.006739
[432/5000][250/535][44329] Loss_D: -0.027775 Loss_G: 0.024161 Loss_D_real: -0.025128 Loss_D_fake 0.002647
[432/5000][255/535][44330] Loss_D: -0.029166 Loss_G: 0.020416 Loss_D_real: -0.018915 Loss_D_fake 0.010252
[432/5000][260/535][44331] Loss_D: -0.028804 Loss_G: 0.000057 Loss_D_real: -0.002470 Loss_D_fake 0.026334
[432/5000][265/535][44332] Loss_D: -0.026941 Loss_G: 0.018198 Loss_D_real: -0.016069 Loss_D_fake 0.010872
[432/5000][270/535][44333] Loss_D: -0.026679 Loss_G: 0.000399 Loss_D_real: 0.005305 Loss_D_fake 0.031984
[432/5000][275/535][44334] Loss_D: -0.027095 Loss_G: 0.008892 Loss_D_real: -0.015121 Loss_D_fake 0.011974
[432/5000][280/535][44335] Loss_D: -0.027180 Loss_G: 0.032712 Loss_D_real: -0.028360 Loss_D_fake -0.001180
[432/5000][285/535][44336] Loss_D: -0.028105 Loss_G: -0.008726 Loss_D_real: 0.000263 Loss_D_fake 0.028368
[432/5000][290/535][44337] Loss_D: -0.026308 Loss_G: 0.038870 Loss_D_real: -0.028697 Loss_D_fake -0.002388
[432/5000][295/535][44338] Loss_D: -0.026780 Loss_G: -0.005323 Loss_D_real: 0.001617 Loss_D_fake 0.028397
[432/5000][300/535][44339] Loss_D: -0.025995 Loss_G: 0.018963 Loss_D_real: -0.019038 Loss_D_fake 0.006957
[432/5000][305/535][44340] Loss_D: -0.027712 Loss_G: 0.007539 Loss_D_real: -0.013215 Loss_D_fake 0.014497
[432/5000][310/535][44341] Loss_D: -0.028497 Loss_G: 0.019204 Loss_D_real: -0.022222 Loss_D_fake 0.006276
[432/5000][315/535][44342] Loss_D: -0.027772 Loss_G: -0.006854 Loss_D_real: -0.002156 Loss_D_fake 0.025616
[432/5000][320/535][44343] Loss_D: -0.027859 Loss_G: 0.015421 Loss_D_real: -0.026268 Loss_D_fake 0.001591
[432/5000][325/535][44344] Loss_D: -0.028310 Loss_G: 0.001972 Loss_D_real: -0.015910 Loss_D_fake 0.012401
[432/5000][330/535][44345] Loss_D: -0.027119 Loss_G: 0.039312 Loss_D_real: -0.030318 Loss_D_fake -0.003199
[432/5000][335/535][44346] Loss_D: -0.027303 Loss_G: 0.004464 Loss_D_real: -0.017114 Loss_D_fake 0.010189
[432/5000][340/535][44347] Loss_D: -0.027940 Loss_G: 0.015013 Loss_D_real: -0.020688 Loss_D_fake 0.007252
[432/5000][345/535][44348] Loss_D: -0.025794 Loss_G: 0.025698 Loss_D_real: -0.021254 Loss_D_fake 0.004541
[432/5000][350/535][44349] Loss_D: -0.027098 Loss_G: -0.003927 Loss_D_real: 0.001232 Loss_D_fake 0.028329
[432/5000][355/535][44350] Loss_D: -0.027286 Loss_G: 0.004416 Loss_D_real: -0.013529 Loss_D_fake 0.013756
[432/5000][360/535][44351] Loss_D: -0.029371 Loss_G: 0.012316 Loss_D_real: -0.012775 Loss_D_fake 0.016596
[432/5000][365/535][44352] Loss_D: -0.028084 Loss_G: 0.014156 Loss_D_real: -0.010735 Loss_D_fake 0.017350
[432/5000][370/535][44353] Loss_D: -0.026898 Loss_G: 0.018393 Loss_D_real: -0.026599 Loss_D_fake 0.000299
[432/5000][375/535][44354] Loss_D: -0.028248 Loss_G: 0.019022 Loss_D_real: -0.026629 Loss_D_fake 0.001619
[432/5000][380/535][44355] Loss_D: -0.028059 Loss_G: 0.004049 Loss_D_real: -0.013983 Loss_D_fake 0.014077
[432/5000][385/535][44356] Loss_D: -0.027745 Loss_G: 0.008828 Loss_D_real: -0.015589 Loss_D_fake 0.012156
[432/5000][390/535][44357] Loss_D: -0.026241 Loss_G: 0.040950 Loss_D_real: -0.037010 Loss_D_fake -0.010770
[432/5000][395/535][44358] Loss_D: -0.028344 Loss_G: 0.021979 Loss_D_real: -0.017816 Loss_D_fake 0.010528
[432/5000][400/535][44359] Loss_D: -0.026441 Loss_G: -0.005277 Loss_D_real: -0.002305 Loss_D_fake 0.024136
[432/5000][405/535][44360] Loss_D: -0.026170 Loss_G: 0.016227 Loss_D_real: -0.010108 Loss_D_fake 0.016062
[432/5000][410/535][44361] Loss_D: -0.027405 Loss_G: 0.001646 Loss_D_real: -0.015832 Loss_D_fake 0.011573
[432/5000][415/535][44362] Loss_D: -0.026534 Loss_G: -0.008071 Loss_D_real: 0.001499 Loss_D_fake 0.028033
[432/5000][420/535][44363] Loss_D: -0.028795 Loss_G: 0.013827 Loss_D_real: -0.017761 Loss_D_fake 0.011034
[432/5000][425/535][44364] Loss_D: -0.028445 Loss_G: 0.025010 Loss_D_real: -0.011735 Loss_D_fake 0.016710
[432/5000][430/535][44365] Loss_D: -0.028838 Loss_G: 0.006852 Loss_D_real: -0.017439 Loss_D_fake 0.011399
[432/5000][435/535][44366] Loss_D: -0.027671 Loss_G: 0.006160 Loss_D_real: -0.023328 Loss_D_fake 0.004343
[432/5000][440/535][44367] Loss_D: -0.029319 Loss_G: 0.016099 Loss_D_real: -0.018841 Loss_D_fake 0.010478
[432/5000][445/535][44368] Loss_D: -0.028217 Loss_G: 0.004724 Loss_D_real: -0.020731 Loss_D_fake 0.007486
[432/5000][450/535][44369] Loss_D: -0.028436 Loss_G: 0.025752 Loss_D_real: -0.030009 Loss_D_fake -0.001573
[432/5000][455/535][44370] Loss_D: -0.028558 Loss_G: -0.010106 Loss_D_real: -0.007426 Loss_D_fake 0.021132
[432/5000][460/535][44371] Loss_D: -0.027284 Loss_G: 0.020331 Loss_D_real: -0.030819 Loss_D_fake -0.003535
[432/5000][465/535][44372] Loss_D: -0.027692 Loss_G: 0.041930 Loss_D_real: -0.036011 Loss_D_fake -0.008319
[432/5000][470/535][44373] Loss_D: -0.029272 Loss_G: 0.014429 Loss_D_real: -0.014208 Loss_D_fake 0.015065
[432/5000][475/535][44374] Loss_D: -0.028107 Loss_G: 0.025365 Loss_D_real: -0.027200 Loss_D_fake 0.000907
[432/5000][480/535][44375] Loss_D: -0.027863 Loss_G: 0.019283 Loss_D_real: -0.020819 Loss_D_fake 0.007045
[432/5000][485/535][44376] Loss_D: -0.028875 Loss_G: 0.011124 Loss_D_real: -0.016735 Loss_D_fake 0.012140
[432/5000][490/535][44377] Loss_D: -0.028292 Loss_G: 0.024108 Loss_D_real: -0.017841 Loss_D_fake 0.010451
[432/5000][495/535][44378] Loss_D: -0.027116 Loss_G: 0.026744 Loss_D_real: -0.030963 Loss_D_fake -0.003847
[432/5000][500/535][44379] Loss_D: -0.028221 Loss_G: 0.030512 Loss_D_real: -0.022797 Loss_D_fake 0.005424
[432/5000][505/535][44380] Loss_D: -0.029709 Loss_G: 0.013588 Loss_D_real: -0.006490 Loss_D_fake 0.023219
[432/5000][510/535][44381] Loss_D: -0.028403 Loss_G: 0.003460 Loss_D_real: -0.005155 Loss_D_fake 0.023248
[432/5000][515/535][44382] Loss_D: -0.030059 Loss_G: 0.013935 Loss_D_real: -0.014623 Loss_D_fake 0.015435
[432/5000][520/535][44383] Loss_D: -0.028175 Loss_G: 0.009518 Loss_D_real: -0.008218 Loss_D_fake 0.019957
[432/5000][525/535][44384] Loss_D: -0.028715 Loss_G: 0.011198 Loss_D_real: -0.020549 Loss_D_fake 0.008166
[432/5000][530/535][44385] Loss_D: -0.029094 Loss_G: 0.010299 Loss_D_real: -0.022000 Loss_D_fake 0.007094
[432/5000][535/535][44386] Loss_D: -0.025778 Loss_G: 0.014790 Loss_D_real: -0.011274 Loss_D_fake 0.014504
[433/5000][5/535][44387] Loss_D: -0.028174 Loss_G: 0.021352 Loss_D_real: -0.020283 Loss_D_fake 0.007891
[433/5000][10/535][44388] Loss_D: -0.028879 Loss_G: 0.020094 Loss_D_real: -0.022662 Loss_D_fake 0.006217
[433/5000][15/535][44389] Loss_D: -0.027799 Loss_G: -0.004203 Loss_D_real: -0.009564 Loss_D_fake 0.018236
[433/5000][20/535][44390] Loss_D: -0.029570 Loss_G: 0.022974 Loss_D_real: -0.023301 Loss_D_fake 0.006269
[433/5000][25/535][44391] Loss_D: -0.027705 Loss_G: 0.029160 Loss_D_real: -0.023994 Loss_D_fake 0.003711
[433/5000][30/535][44392] Loss_D: -0.027563 Loss_G: 0.013758 Loss_D_real: -0.023315 Loss_D_fake 0.004248
[433/5000][35/535][44393] Loss_D: -0.027959 Loss_G: 0.040508 Loss_D_real: -0.040791 Loss_D_fake -0.012833
[433/5000][40/535][44394] Loss_D: -0.027788 Loss_G: 0.038030 Loss_D_real: -0.021588 Loss_D_fake 0.006199
[433/5000][45/535][44395] Loss_D: -0.028268 Loss_G: -0.003245 Loss_D_real: -0.015866 Loss_D_fake 0.012403
[433/5000][50/535][44396] Loss_D: -0.025435 Loss_G: 0.033329 Loss_D_real: -0.046064 Loss_D_fake -0.020628
[433/5000][55/535][44397] Loss_D: -0.027248 Loss_G: -0.019282 Loss_D_real: -0.000237 Loss_D_fake 0.027012
[433/5000][60/535][44398] Loss_D: -0.027513 Loss_G: 0.005494 Loss_D_real: -0.007712 Loss_D_fake 0.019801
[433/5000][65/535][44399] Loss_D: -0.025437 Loss_G: -0.006127 Loss_D_real: -0.000250 Loss_D_fake 0.025188
[433/5000][70/535][44400] Loss_D: -0.028143 Loss_G: 0.018279 Loss_D_real: -0.027742 Loss_D_fake 0.000401
[433/5000][75/535][44401] Loss_D: -0.029931 Loss_G: 0.007489 Loss_D_real: -0.013396 Loss_D_fake 0.016535
[433/5000][80/535][44402] Loss_D: -0.028892 Loss_G: 0.026864 Loss_D_real: -0.024326 Loss_D_fake 0.004566
[433/5000][85/535][44403] Loss_D: -0.029186 Loss_G: 0.008231 Loss_D_real: -0.020454 Loss_D_fake 0.008732
[433/5000][90/535][44404] Loss_D: -0.028147 Loss_G: 0.015261 Loss_D_real: -0.022705 Loss_D_fake 0.005442
[433/5000][95/535][44405] Loss_D: -0.029693 Loss_G: 0.007940 Loss_D_real: -0.008079 Loss_D_fake 0.021613
[433/5000][100/535][44406] Loss_D: -0.027732 Loss_G: 0.039121 Loss_D_real: -0.028790 Loss_D_fake -0.001058
[433/5000][105/535][44407] Loss_D: -0.027626 Loss_G: 0.015371 Loss_D_real: -0.024152 Loss_D_fake 0.003473
[433/5000][110/535][44408] Loss_D: -0.029745 Loss_G: 0.025393 Loss_D_real: -0.025175 Loss_D_fake 0.004570
[433/5000][115/535][44409] Loss_D: -0.028130 Loss_G: 0.007265 Loss_D_real: -0.016241 Loss_D_fake 0.011889
[433/5000][120/535][44410] Loss_D: -0.026166 Loss_G: -0.005806 Loss_D_real: 0.000710 Loss_D_fake 0.026877
[433/5000][125/535][44411] Loss_D: -0.027571 Loss_G: 0.017469 Loss_D_real: -0.016370 Loss_D_fake 0.011201
[433/5000][130/535][44412] Loss_D: -0.028897 Loss_G: 0.002961 Loss_D_real: -0.000109 Loss_D_fake 0.028788
[433/5000][135/535][44413] Loss_D: -0.026557 Loss_G: 0.032639 Loss_D_real: -0.031729 Loss_D_fake -0.005172
[433/5000][140/535][44414] Loss_D: -0.027581 Loss_G: 0.012838 Loss_D_real: -0.018318 Loss_D_fake 0.009263
[433/5000][145/535][44415] Loss_D: -0.029489 Loss_G: -0.009607 Loss_D_real: -0.013831 Loss_D_fake 0.015658
[433/5000][150/535][44416] Loss_D: -0.026964 Loss_G: -0.004096 Loss_D_real: -0.005423 Loss_D_fake 0.021540
[433/5000][155/535][44417] Loss_D: -0.027348 Loss_G: 0.035902 Loss_D_real: -0.033763 Loss_D_fake -0.006416
[433/5000][160/535][44418] Loss_D: -0.028926 Loss_G: -0.003616 Loss_D_real: -0.015037 Loss_D_fake 0.013889
[433/5000][165/535][44419] Loss_D: -0.026708 Loss_G: 0.030006 Loss_D_real: -0.024934 Loss_D_fake 0.001774
[433/5000][170/535][44420] Loss_D: -0.027550 Loss_G: 0.001927 Loss_D_real: -0.005984 Loss_D_fake 0.021566
[433/5000][175/535][44421] Loss_D: -0.027645 Loss_G: 0.026862 Loss_D_real: -0.033419 Loss_D_fake -0.005773
[433/5000][180/535][44422] Loss_D: -0.027659 Loss_G: 0.005927 Loss_D_real: -0.011624 Loss_D_fake 0.016035
[433/5000][185/535][44423] Loss_D: -0.027283 Loss_G: 0.027463 Loss_D_real: -0.027434 Loss_D_fake -0.000151
[433/5000][190/535][44424] Loss_D: -0.029013 Loss_G: 0.005210 Loss_D_real: -0.008963 Loss_D_fake 0.020050
[433/5000][195/535][44425] Loss_D: -0.026733 Loss_G: 0.020029 Loss_D_real: -0.030389 Loss_D_fake -0.003656
[433/5000][200/535][44426] Loss_D: -0.027748 Loss_G: 0.029405 Loss_D_real: -0.035936 Loss_D_fake -0.008187
[433/5000][205/535][44427] Loss_D: -0.026637 Loss_G: -0.009755 Loss_D_real: -0.003077 Loss_D_fake 0.023561
[433/5000][210/535][44428] Loss_D: -0.027116 Loss_G: 0.023390 Loss_D_real: -0.024537 Loss_D_fake 0.002579
[433/5000][215/535][44429] Loss_D: -0.027275 Loss_G: 0.012431 Loss_D_real: -0.015287 Loss_D_fake 0.011988
[433/5000][220/535][44430] Loss_D: -0.028104 Loss_G: 0.019177 Loss_D_real: -0.020871 Loss_D_fake 0.007233
[433/5000][225/535][44431] Loss_D: -0.028605 Loss_G: 0.017633 Loss_D_real: -0.018986 Loss_D_fake 0.009618
[433/5000][230/535][44432] Loss_D: -0.028058 Loss_G: 0.024429 Loss_D_real: -0.038952 Loss_D_fake -0.010894
[433/5000][235/535][44433] Loss_D: -0.028436 Loss_G: 0.019422 Loss_D_real: -0.024838 Loss_D_fake 0.003597
[433/5000][240/535][44434] Loss_D: -0.027528 Loss_G: 0.021963 Loss_D_real: -0.016500 Loss_D_fake 0.011028
[433/5000][245/535][44435] Loss_D: -0.028129 Loss_G: 0.027554 Loss_D_real: -0.028238 Loss_D_fake -0.000108
[433/5000][250/535][44436] Loss_D: -0.029326 Loss_G: 0.015363 Loss_D_real: -0.022820 Loss_D_fake 0.006506
[433/5000][255/535][44437] Loss_D: -0.027464 Loss_G: 0.001144 Loss_D_real: -0.001543 Loss_D_fake 0.025921
[433/5000][260/535][44438] Loss_D: -0.027921 Loss_G: 0.020684 Loss_D_real: -0.032297 Loss_D_fake -0.004376
[433/5000][265/535][44439] Loss_D: -0.029488 Loss_G: 0.008825 Loss_D_real: -0.010502 Loss_D_fake 0.018987
[433/5000][270/535][44440] Loss_D: -0.028846 Loss_G: 0.012466 Loss_D_real: -0.019509 Loss_D_fake 0.009337
[433/5000][275/535][44441] Loss_D: -0.028037 Loss_G: 0.018136 Loss_D_real: -0.025614 Loss_D_fake 0.002424
[433/5000][280/535][44442] Loss_D: -0.028370 Loss_G: 0.007979 Loss_D_real: -0.015940 Loss_D_fake 0.012430
[433/5000][285/535][44443] Loss_D: -0.029312 Loss_G: 0.025579 Loss_D_real: -0.019405 Loss_D_fake 0.009907
[433/5000][290/535][44444] Loss_D: -0.028041 Loss_G: 0.020919 Loss_D_real: -0.018621 Loss_D_fake 0.009420
[433/5000][295/535][44445] Loss_D: -0.028107 Loss_G: 0.035100 Loss_D_real: -0.024590 Loss_D_fake 0.003517
[433/5000][300/535][44446] Loss_D: -0.028373 Loss_G: 0.005639 Loss_D_real: -0.015955 Loss_D_fake 0.012418
[433/5000][305/535][44447] Loss_D: -0.025872 Loss_G: 0.031566 Loss_D_real: -0.028926 Loss_D_fake -0.003053
[433/5000][310/535][44448] Loss_D: -0.028456 Loss_G: -0.005822 Loss_D_real: -0.005581 Loss_D_fake 0.022876
[433/5000][315/535][44449] Loss_D: -0.026700 Loss_G: 0.040414 Loss_D_real: -0.022438 Loss_D_fake 0.004262
[433/5000][320/535][44450] Loss_D: -0.027812 Loss_G: 0.010756 Loss_D_real: -0.019538 Loss_D_fake 0.008274
[433/5000][325/535][44451] Loss_D: -0.026364 Loss_G: -0.001153 Loss_D_real: -0.005247 Loss_D_fake 0.021117
[433/5000][330/535][44452] Loss_D: -0.027028 Loss_G: 0.031352 Loss_D_real: -0.032131 Loss_D_fake -0.005103
[433/5000][335/535][44453] Loss_D: -0.029239 Loss_G: 0.010503 Loss_D_real: -0.010413 Loss_D_fake 0.018826
[433/5000][340/535][44454] Loss_D: -0.027539 Loss_G: 0.010700 Loss_D_real: -0.028793 Loss_D_fake -0.001253
[433/5000][345/535][44455] Loss_D: -0.028422 Loss_G: 0.016731 Loss_D_real: -0.025803 Loss_D_fake 0.002619
[433/5000][350/535][44456] Loss_D: -0.026697 Loss_G: -0.014785 Loss_D_real: 0.001513 Loss_D_fake 0.028210
[433/5000][355/535][44457] Loss_D: -0.028159 Loss_G: 0.017774 Loss_D_real: -0.014242 Loss_D_fake 0.013917
[433/5000][360/535][44458] Loss_D: -0.026272 Loss_G: 0.024594 Loss_D_real: -0.032598 Loss_D_fake -0.006326
[433/5000][365/535][44459] Loss_D: -0.025571 Loss_G: -0.011660 Loss_D_real: 0.009991 Loss_D_fake 0.035563
[433/5000][370/535][44460] Loss_D: -0.026642 Loss_G: 0.002040 Loss_D_real: -0.007429 Loss_D_fake 0.019213
[433/5000][375/535][44461] Loss_D: -0.027858 Loss_G: -0.001604 Loss_D_real: -0.004315 Loss_D_fake 0.023544
[433/5000][380/535][44462] Loss_D: -0.028530 Loss_G: 0.022926 Loss_D_real: -0.021550 Loss_D_fake 0.006980
[433/5000][385/535][44463] Loss_D: -0.027676 Loss_G: 0.032270 Loss_D_real: -0.035310 Loss_D_fake -0.007634
[433/5000][390/535][44464] Loss_D: -0.028564 Loss_G: 0.006597 Loss_D_real: -0.014248 Loss_D_fake 0.014316
[433/5000][395/535][44465] Loss_D: -0.028114 Loss_G: 0.000461 Loss_D_real: -0.001711 Loss_D_fake 0.026403
[433/5000][400/535][44466] Loss_D: -0.027709 Loss_G: 0.034270 Loss_D_real: -0.028610 Loss_D_fake -0.000901
[433/5000][405/535][44467] Loss_D: -0.028662 Loss_G: 0.002790 Loss_D_real: -0.011649 Loss_D_fake 0.017012
[433/5000][410/535][44468] Loss_D: -0.028419 Loss_G: 0.015061 Loss_D_real: -0.015224 Loss_D_fake 0.013195
[433/5000][415/535][44469] Loss_D: -0.026690 Loss_G: 0.004411 Loss_D_real: -0.006714 Loss_D_fake 0.019976
[433/5000][420/535][44470] Loss_D: -0.027093 Loss_G: 0.019188 Loss_D_real: -0.017157 Loss_D_fake 0.009936
[433/5000][425/535][44471] Loss_D: -0.027429 Loss_G: 0.025118 Loss_D_real: -0.023884 Loss_D_fake 0.003544
[433/5000][430/535][44472] Loss_D: -0.029087 Loss_G: 0.029030 Loss_D_real: -0.016791 Loss_D_fake 0.012296
[433/5000][435/535][44473] Loss_D: -0.028944 Loss_G: 0.024359 Loss_D_real: -0.028610 Loss_D_fake 0.000335
[433/5000][440/535][44474] Loss_D: -0.028370 Loss_G: 0.022853 Loss_D_real: -0.025636 Loss_D_fake 0.002734
[433/5000][445/535][44475] Loss_D: -0.029299 Loss_G: 0.008045 Loss_D_real: -0.008560 Loss_D_fake 0.020739
[433/5000][450/535][44476] Loss_D: -0.027822 Loss_G: -0.009266 Loss_D_real: 0.004310 Loss_D_fake 0.032132
[433/5000][455/535][44477] Loss_D: -0.024022 Loss_G: 0.040143 Loss_D_real: -0.035095 Loss_D_fake -0.011073
[433/5000][460/535][44478] Loss_D: -0.028945 Loss_G: 0.005302 Loss_D_real: -0.008172 Loss_D_fake 0.020773
[433/5000][465/535][44479] Loss_D: -0.028309 Loss_G: 0.005583 Loss_D_real: -0.018274 Loss_D_fake 0.010035
[433/5000][470/535][44480] Loss_D: -0.027928 Loss_G: 0.012965 Loss_D_real: -0.012364 Loss_D_fake 0.015565
[433/5000][475/535][44481] Loss_D: -0.029126 Loss_G: 0.026750 Loss_D_real: -0.022742 Loss_D_fake 0.006384
[433/5000][480/535][44482] Loss_D: -0.028217 Loss_G: -0.001074 Loss_D_real: -0.010236 Loss_D_fake 0.017981
[433/5000][485/535][44483] Loss_D: -0.028014 Loss_G: 0.031006 Loss_D_real: -0.027862 Loss_D_fake 0.000152
[433/5000][490/535][44484] Loss_D: -0.026931 Loss_G: 0.027528 Loss_D_real: -0.028263 Loss_D_fake -0.001333
[433/5000][495/535][44485] Loss_D: -0.027158 Loss_G: 0.015598 Loss_D_real: -0.011647 Loss_D_fake 0.015511
[433/5000][500/535][44486] Loss_D: -0.029006 Loss_G: 0.013508 Loss_D_real: -0.017581 Loss_D_fake 0.011425
[433/5000][505/535][44487] Loss_D: -0.029037 Loss_G: 0.001603 Loss_D_real: -0.025690 Loss_D_fake 0.003348
[433/5000][510/535][44488] Loss_D: -0.027405 Loss_G: 0.008489 Loss_D_real: -0.015781 Loss_D_fake 0.011624
[433/5000][515/535][44489] Loss_D: -0.029222 Loss_G: 0.022710 Loss_D_real: -0.023910 Loss_D_fake 0.005311
[433/5000][520/535][44490] Loss_D: -0.029580 Loss_G: 0.025625 Loss_D_real: -0.018589 Loss_D_fake 0.010991
[433/5000][525/535][44491] Loss_D: -0.028844 Loss_G: 0.004887 Loss_D_real: -0.016651 Loss_D_fake 0.012193
[433/5000][530/535][44492] Loss_D: -0.029225 Loss_G: 0.004943 Loss_D_real: -0.003090 Loss_D_fake 0.026135
[433/5000][535/535][44493] Loss_D: -0.027071 Loss_G: 0.004183 Loss_D_real: -0.030146 Loss_D_fake -0.003074
[434/5000][5/535][44494] Loss_D: -0.028308 Loss_G: 0.007161 Loss_D_real: -0.008448 Loss_D_fake 0.019859
[434/5000][10/535][44495] Loss_D: -0.027777 Loss_G: -0.000066 Loss_D_real: 0.005511 Loss_D_fake 0.033288
[434/5000][15/535][44496] Loss_D: -0.028786 Loss_G: 0.034884 Loss_D_real: -0.031632 Loss_D_fake -0.002846
[434/5000][20/535][44497] Loss_D: -0.027687 Loss_G: 0.012841 Loss_D_real: -0.012117 Loss_D_fake 0.015570
[434/5000][25/535][44498] Loss_D: -0.029188 Loss_G: 0.005508 Loss_D_real: -0.015955 Loss_D_fake 0.013233
[434/5000][30/535][44499] Loss_D: -0.028818 Loss_G: 0.014536 Loss_D_real: -0.018383 Loss_D_fake 0.010435
[434/5000][35/535][44500] Loss_D: -0.026654 Loss_G: 0.022140 Loss_D_real: -0.022085 Loss_D_fake 0.004570
[434/5000][135/535][44501] Loss_D: -0.030889 Loss_G: 0.004047 Loss_D_real: -0.020529 Loss_D_fake 0.010360
[434/5000][140/535][44502] Loss_D: -0.028942 Loss_G: 0.020675 Loss_D_real: -0.018770 Loss_D_fake 0.010171
[434/5000][145/535][44503] Loss_D: -0.024725 Loss_G: 0.012393 Loss_D_real: -0.019640 Loss_D_fake 0.005085
[434/5000][150/535][44504] Loss_D: -0.025916 Loss_G: 0.004573 Loss_D_real: -0.013412 Loss_D_fake 0.012504
[434/5000][155/535][44505] Loss_D: -0.026318 Loss_G: -0.001459 Loss_D_real: -0.014741 Loss_D_fake 0.011578
[434/5000][160/535][44506] Loss_D: -0.026137 Loss_G: 0.038422 Loss_D_real: -0.030445 Loss_D_fake -0.004308
[434/5000][165/535][44507] Loss_D: -0.026856 Loss_G: -0.002159 Loss_D_real: -0.007121 Loss_D_fake 0.019734
[434/5000][170/535][44508] Loss_D: -0.027112 Loss_G: 0.017566 Loss_D_real: -0.007501 Loss_D_fake 0.019610
[434/5000][175/535][44509] Loss_D: -0.026753 Loss_G: 0.020876 Loss_D_real: -0.019491 Loss_D_fake 0.007262
[434/5000][180/535][44510] Loss_D: -0.029452 Loss_G: 0.004512 Loss_D_real: -0.019178 Loss_D_fake 0.010275
[434/5000][185/535][44511] Loss_D: -0.029253 Loss_G: 0.015052 Loss_D_real: -0.013463 Loss_D_fake 0.015791
[434/5000][190/535][44512] Loss_D: -0.028982 Loss_G: 0.003803 Loss_D_real: -0.006677 Loss_D_fake 0.022305
[434/5000][195/535][44513] Loss_D: -0.028566 Loss_G: 0.001472 Loss_D_real: -0.006609 Loss_D_fake 0.021958
[434/5000][200/535][44514] Loss_D: -0.028308 Loss_G: 0.026306 Loss_D_real: -0.021341 Loss_D_fake 0.006967
[434/5000][205/535][44515] Loss_D: -0.028076 Loss_G: 0.002539 Loss_D_real: -0.003575 Loss_D_fake 0.024501
[434/5000][210/535][44516] Loss_D: -0.028612 Loss_G: 0.039019 Loss_D_real: -0.028641 Loss_D_fake -0.000029
[434/5000][215/535][44517] Loss_D: -0.027639 Loss_G: 0.032241 Loss_D_real: -0.039742 Loss_D_fake -0.012103
[434/5000][220/535][44518] Loss_D: -0.029147 Loss_G: 0.029279 Loss_D_real: -0.029346 Loss_D_fake -0.000199
[434/5000][225/535][44519] Loss_D: -0.029006 Loss_G: 0.026711 Loss_D_real: -0.032527 Loss_D_fake -0.003521
[434/5000][230/535][44520] Loss_D: -0.029987 Loss_G: -0.002633 Loss_D_real: -0.010305 Loss_D_fake 0.019682
[434/5000][235/535][44521] Loss_D: -0.027762 Loss_G: 0.025303 Loss_D_real: -0.026375 Loss_D_fake 0.001386
[434/5000][240/535][44522] Loss_D: -0.027348 Loss_G: -0.007778 Loss_D_real: 0.000930 Loss_D_fake 0.028278
[434/5000][245/535][44523] Loss_D: -0.026848 Loss_G: 0.014296 Loss_D_real: -0.025419 Loss_D_fake 0.001429
[434/5000][250/535][44524] Loss_D: -0.028074 Loss_G: 0.010619 Loss_D_real: -0.022895 Loss_D_fake 0.005179
[434/5000][255/535][44525] Loss_D: -0.029947 Loss_G: 0.024144 Loss_D_real: -0.026730 Loss_D_fake 0.003216
[434/5000][260/535][44526] Loss_D: -0.027525 Loss_G: 0.030683 Loss_D_real: -0.016175 Loss_D_fake 0.011350
[434/5000][265/535][44527] Loss_D: -0.028024 Loss_G: 0.040608 Loss_D_real: -0.026873 Loss_D_fake 0.001151
[434/5000][270/535][44528] Loss_D: -0.028837 Loss_G: 0.010563 Loss_D_real: -0.017461 Loss_D_fake 0.011376
[434/5000][275/535][44529] Loss_D: -0.028428 Loss_G: 0.021436 Loss_D_real: -0.010693 Loss_D_fake 0.017736
[434/5000][280/535][44530] Loss_D: -0.028171 Loss_G: 0.023925 Loss_D_real: -0.020039 Loss_D_fake 0.008131
[434/5000][285/535][44531] Loss_D: -0.028032 Loss_G: 0.014081 Loss_D_real: -0.026674 Loss_D_fake 0.001357
[434/5000][290/535][44532] Loss_D: -0.028659 Loss_G: 0.000184 Loss_D_real: -0.014898 Loss_D_fake 0.013761
[434/5000][295/535][44533] Loss_D: -0.027555 Loss_G: 0.028197 Loss_D_real: -0.023748 Loss_D_fake 0.003807
[434/5000][300/535][44534] Loss_D: -0.027081 Loss_G: -0.005705 Loss_D_real: -0.000020 Loss_D_fake 0.027061
[434/5000][305/535][44535] Loss_D: -0.026826 Loss_G: 0.013597 Loss_D_real: -0.017804 Loss_D_fake 0.009022
[434/5000][310/535][44536] Loss_D: -0.027143 Loss_G: 0.006142 Loss_D_real: -0.008904 Loss_D_fake 0.018239
[434/5000][315/535][44537] Loss_D: -0.026930 Loss_G: 0.001804 Loss_D_real: -0.009902 Loss_D_fake 0.017028
[434/5000][320/535][44538] Loss_D: -0.025829 Loss_G: 0.003644 Loss_D_real: -0.019798 Loss_D_fake 0.006031
[434/5000][325/535][44539] Loss_D: -0.028288 Loss_G: 0.001917 Loss_D_real: 0.001441 Loss_D_fake 0.029730
[434/5000][330/535][44540] Loss_D: -0.026644 Loss_G: 0.005141 Loss_D_real: -0.028594 Loss_D_fake -0.001950
[434/5000][335/535][44541] Loss_D: -0.027203 Loss_G: 0.036727 Loss_D_real: -0.026084 Loss_D_fake 0.001119
[434/5000][340/535][44542] Loss_D: -0.026782 Loss_G: -0.017094 Loss_D_real: -0.000122 Loss_D_fake 0.026660
[434/5000][345/535][44543] Loss_D: -0.024912 Loss_G: -0.014362 Loss_D_real: 0.002897 Loss_D_fake 0.027809
[434/5000][350/535][44544] Loss_D: -0.027594 Loss_G: 0.012566 Loss_D_real: -0.021692 Loss_D_fake 0.005903
[434/5000][355/535][44545] Loss_D: -0.027960 Loss_G: 0.018736 Loss_D_real: -0.021052 Loss_D_fake 0.006908
[434/5000][360/535][44546] Loss_D: -0.028606 Loss_G: 0.001535 Loss_D_real: -0.012205 Loss_D_fake 0.016401
[434/5000][365/535][44547] Loss_D: -0.026914 Loss_G: 0.032239 Loss_D_real: -0.024484 Loss_D_fake 0.002430
[434/5000][370/535][44548] Loss_D: -0.028304 Loss_G: 0.022824 Loss_D_real: -0.023658 Loss_D_fake 0.004645
[434/5000][375/535][44549] Loss_D: -0.027498 Loss_G: 0.022211 Loss_D_real: -0.030594 Loss_D_fake -0.003096
[434/5000][380/535][44550] Loss_D: -0.028245 Loss_G: 0.019966 Loss_D_real: -0.018119 Loss_D_fake 0.010127
[434/5000][385/535][44551] Loss_D: -0.027320 Loss_G: 0.030800 Loss_D_real: -0.032173 Loss_D_fake -0.004852
[434/5000][390/535][44552] Loss_D: -0.028251 Loss_G: 0.009992 Loss_D_real: -0.016694 Loss_D_fake 0.011557
[434/5000][395/535][44553] Loss_D: -0.028083 Loss_G: 0.023542 Loss_D_real: -0.030785 Loss_D_fake -0.002702
[434/5000][400/535][44554] Loss_D: -0.026802 Loss_G: 0.016719 Loss_D_real: -0.015156 Loss_D_fake 0.011646
[434/5000][405/535][44555] Loss_D: -0.026471 Loss_G: 0.022890 Loss_D_real: -0.025437 Loss_D_fake 0.001035
[434/5000][410/535][44556] Loss_D: -0.028604 Loss_G: 0.017361 Loss_D_real: -0.024857 Loss_D_fake 0.003747
[434/5000][415/535][44557] Loss_D: -0.028223 Loss_G: 0.003878 Loss_D_real: -0.005872 Loss_D_fake 0.022351
[434/5000][420/535][44558] Loss_D: -0.026641 Loss_G: 0.029202 Loss_D_real: -0.030322 Loss_D_fake -0.003681
[434/5000][425/535][44559] Loss_D: -0.028002 Loss_G: -0.007980 Loss_D_real: 0.003547 Loss_D_fake 0.031548
[434/5000][430/535][44560] Loss_D: -0.025632 Loss_G: 0.028289 Loss_D_real: -0.037333 Loss_D_fake -0.011700
[434/5000][435/535][44561] Loss_D: -0.028503 Loss_G: 0.001784 Loss_D_real: -0.010476 Loss_D_fake 0.018028
[434/5000][440/535][44562] Loss_D: -0.027450 Loss_G: 0.018826 Loss_D_real: -0.019408 Loss_D_fake 0.008042
[434/5000][445/535][44563] Loss_D: -0.026331 Loss_G: -0.004699 Loss_D_real: -0.013281 Loss_D_fake 0.013050
[434/5000][450/535][44564] Loss_D: -0.028044 Loss_G: 0.015786 Loss_D_real: -0.009348 Loss_D_fake 0.018696
[434/5000][455/535][44565] Loss_D: -0.027890 Loss_G: 0.016746 Loss_D_real: -0.023635 Loss_D_fake 0.004255
[434/5000][460/535][44566] Loss_D: -0.027039 Loss_G: -0.016984 Loss_D_real: 0.007003 Loss_D_fake 0.034042
[434/5000][465/535][44567] Loss_D: -0.027418 Loss_G: 0.018053 Loss_D_real: -0.013102 Loss_D_fake 0.014316
[434/5000][470/535][44568] Loss_D: -0.027943 Loss_G: 0.035725 Loss_D_real: -0.037534 Loss_D_fake -0.009591
[434/5000][475/535][44569] Loss_D: -0.028680 Loss_G: 0.006820 Loss_D_real: -0.009201 Loss_D_fake 0.019478
[434/5000][480/535][44570] Loss_D: -0.029430 Loss_G: 0.016924 Loss_D_real: -0.022674 Loss_D_fake 0.006757
[434/5000][485/535][44571] Loss_D: -0.029046 Loss_G: 0.025138 Loss_D_real: -0.026604 Loss_D_fake 0.002442
[434/5000][490/535][44572] Loss_D: -0.027531 Loss_G: -0.011256 Loss_D_real: 0.003151 Loss_D_fake 0.030681
[434/5000][495/535][44573] Loss_D: -0.027052 Loss_G: 0.040811 Loss_D_real: -0.037867 Loss_D_fake -0.010815
[434/5000][500/535][44574] Loss_D: -0.028449 Loss_G: 0.020682 Loss_D_real: -0.026410 Loss_D_fake 0.002039
[434/5000][505/535][44575] Loss_D: -0.028803 Loss_G: 0.006362 Loss_D_real: -0.012252 Loss_D_fake 0.016551
[434/5000][510/535][44576] Loss_D: -0.027648 Loss_G: 0.024235 Loss_D_real: -0.032773 Loss_D_fake -0.005125
[434/5000][515/535][44577] Loss_D: -0.030320 Loss_G: 0.012440 Loss_D_real: -0.007079 Loss_D_fake 0.023241
[434/5000][520/535][44578] Loss_D: -0.029732 Loss_G: 0.020998 Loss_D_real: -0.023150 Loss_D_fake 0.006582
[434/5000][525/535][44579] Loss_D: -0.027636 Loss_G: 0.040541 Loss_D_real: -0.037900 Loss_D_fake -0.010264
[434/5000][530/535][44580] Loss_D: -0.027848 Loss_G: 0.012216 Loss_D_real: -0.016507 Loss_D_fake 0.011341
[434/5000][535/535][44581] Loss_D: -0.028392 Loss_G: 0.032856 Loss_D_real: -0.033910 Loss_D_fake -0.005517
[435/5000][5/535][44582] Loss_D: -0.028237 Loss_G: 0.015256 Loss_D_real: -0.011280 Loss_D_fake 0.016956
[435/5000][10/535][44583] Loss_D: -0.028541 Loss_G: 0.004626 Loss_D_real: -0.010353 Loss_D_fake 0.018188
[435/5000][15/535][44584] Loss_D: -0.025835 Loss_G: 0.034867 Loss_D_real: -0.033161 Loss_D_fake -0.007326
[435/5000][20/535][44585] Loss_D: -0.027472 Loss_G: -0.008501 Loss_D_real: -0.011272 Loss_D_fake 0.016200
[435/5000][25/535][44586] Loss_D: -0.028280 Loss_G: 0.015179 Loss_D_real: -0.018900 Loss_D_fake 0.009381
[435/5000][30/535][44587] Loss_D: -0.025445 Loss_G: 0.033755 Loss_D_real: -0.030689 Loss_D_fake -0.005243
[435/5000][35/535][44588] Loss_D: -0.027889 Loss_G: 0.011225 Loss_D_real: -0.021283 Loss_D_fake 0.006605
[435/5000][40/535][44589] Loss_D: -0.026376 Loss_G: 0.016215 Loss_D_real: -0.014681 Loss_D_fake 0.011695
[435/5000][45/535][44590] Loss_D: -0.028602 Loss_G: 0.014312 Loss_D_real: -0.016245 Loss_D_fake 0.012357
[435/5000][50/535][44591] Loss_D: -0.027173 Loss_G: 0.004961 Loss_D_real: -0.012110 Loss_D_fake 0.015063
[435/5000][55/535][44592] Loss_D: -0.027486 Loss_G: 0.024747 Loss_D_real: -0.027368 Loss_D_fake 0.000118
[435/5000][60/535][44593] Loss_D: -0.028051 Loss_G: 0.015909 Loss_D_real: -0.018183 Loss_D_fake 0.009868
[435/5000][65/535][44594] Loss_D: -0.029036 Loss_G: 0.006598 Loss_D_real: -0.025694 Loss_D_fake 0.003342
[435/5000][70/535][44595] Loss_D: -0.027845 Loss_G: 0.007791 Loss_D_real: -0.012495 Loss_D_fake 0.015349
[435/5000][75/535][44596] Loss_D: -0.026489 Loss_G: -0.002960 Loss_D_real: -0.009262 Loss_D_fake 0.017228
[435/5000][80/535][44597] Loss_D: -0.027762 Loss_G: 0.029131 Loss_D_real: -0.023744 Loss_D_fake 0.004018
[435/5000][85/535][44598] Loss_D: -0.027692 Loss_G: 0.012119 Loss_D_real: -0.018156 Loss_D_fake 0.009536
[435/5000][90/535][44599] Loss_D: -0.026053 Loss_G: 0.036149 Loss_D_real: -0.039582 Loss_D_fake -0.013529
[435/5000][95/535][44600] Loss_D: -0.026622 Loss_G: -0.003530 Loss_D_real: -0.004086 Loss_D_fake 0.022536
[435/5000][100/535][44601] Loss_D: -0.026350 Loss_G: 0.032388 Loss_D_real: -0.035681 Loss_D_fake -0.009331
[435/5000][105/535][44602] Loss_D: -0.027233 Loss_G: 0.003066 Loss_D_real: -0.005689 Loss_D_fake 0.021544
[435/5000][110/535][44603] Loss_D: -0.028460 Loss_G: 0.026597 Loss_D_real: -0.028148 Loss_D_fake 0.000312
[435/5000][115/535][44604] Loss_D: -0.028229 Loss_G: 0.011647 Loss_D_real: -0.013658 Loss_D_fake 0.014570
[435/5000][120/535][44605] Loss_D: -0.028662 Loss_G: 0.007049 Loss_D_real: -0.016256 Loss_D_fake 0.012406
[435/5000][125/535][44606] Loss_D: -0.029392 Loss_G: 0.004949 Loss_D_real: -0.008566 Loss_D_fake 0.020825
[435/5000][130/535][44607] Loss_D: -0.028732 Loss_G: 0.036137 Loss_D_real: -0.022961 Loss_D_fake 0.005771
[435/5000][135/535][44608] Loss_D: -0.027589 Loss_G: -0.018471 Loss_D_real: 0.002643 Loss_D_fake 0.030232
[435/5000][140/535][44609] Loss_D: -0.026135 Loss_G: 0.014508 Loss_D_real: -0.025911 Loss_D_fake 0.000224
[435/5000][145/535][44610] Loss_D: -0.026786 Loss_G: 0.001981 Loss_D_real: -0.003573 Loss_D_fake 0.023213
[435/5000][150/535][44611] Loss_D: -0.028117 Loss_G: 0.012725 Loss_D_real: -0.016047 Loss_D_fake 0.012071
[435/5000][155/535][44612] Loss_D: -0.029062 Loss_G: 0.011672 Loss_D_real: -0.019497 Loss_D_fake 0.009565
[435/5000][160/535][44613] Loss_D: -0.027902 Loss_G: 0.007110 Loss_D_real: -0.010519 Loss_D_fake 0.017383
[435/5000][165/535][44614] Loss_D: -0.028770 Loss_G: 0.021582 Loss_D_real: -0.012747 Loss_D_fake 0.016022
[435/5000][170/535][44615] Loss_D: -0.027173 Loss_G: -0.004545 Loss_D_real: -0.003983 Loss_D_fake 0.023190
[435/5000][175/535][44616] Loss_D: -0.027628 Loss_G: 0.033119 Loss_D_real: -0.026731 Loss_D_fake 0.000897
[435/5000][180/535][44617] Loss_D: -0.028325 Loss_G: 0.014203 Loss_D_real: -0.022897 Loss_D_fake 0.005428
[435/5000][185/535][44618] Loss_D: -0.029136 Loss_G: 0.021072 Loss_D_real: -0.029415 Loss_D_fake -0.000279
[435/5000][190/535][44619] Loss_D: -0.028969 Loss_G: -0.001098 Loss_D_real: -0.015022 Loss_D_fake 0.013947
[435/5000][195/535][44620] Loss_D: -0.028409 Loss_G: 0.016795 Loss_D_real: -0.016093 Loss_D_fake 0.012316
[435/5000][200/535][44621] Loss_D: -0.028887 Loss_G: 0.007870 Loss_D_real: -0.015790 Loss_D_fake 0.013097
[435/5000][205/535][44622] Loss_D: -0.027593 Loss_G: -0.001721 Loss_D_real: 0.001164 Loss_D_fake 0.028757
[435/5000][210/535][44623] Loss_D: -0.026332 Loss_G: 0.036839 Loss_D_real: -0.030891 Loss_D_fake -0.004559
[435/5000][215/535][44624] Loss_D: -0.026220 Loss_G: 0.015646 Loss_D_real: -0.025382 Loss_D_fake 0.000838
[435/5000][220/535][44625] Loss_D: -0.027633 Loss_G: 0.025703 Loss_D_real: -0.031160 Loss_D_fake -0.003527
[435/5000][225/535][44626] Loss_D: -0.028991 Loss_G: 0.003631 Loss_D_real: -0.017557 Loss_D_fake 0.011434
[435/5000][230/535][44627] Loss_D: -0.027669 Loss_G: 0.000569 Loss_D_real: -0.013296 Loss_D_fake 0.014372
[435/5000][235/535][44628] Loss_D: -0.028136 Loss_G: 0.018195 Loss_D_real: -0.016765 Loss_D_fake 0.011371
[435/5000][240/535][44629] Loss_D: -0.027119 Loss_G: 0.035156 Loss_D_real: -0.032572 Loss_D_fake -0.005453
[435/5000][245/535][44630] Loss_D: -0.028874 Loss_G: 0.031571 Loss_D_real: -0.033482 Loss_D_fake -0.004608
[435/5000][250/535][44631] Loss_D: -0.030842 Loss_G: 0.021596 Loss_D_real: -0.031082 Loss_D_fake -0.000240
[435/5000][255/535][44632] Loss_D: -0.029430 Loss_G: 0.038490 Loss_D_real: -0.027285 Loss_D_fake 0.002145
[435/5000][260/535][44633] Loss_D: -0.027446 Loss_G: 0.012146 Loss_D_real: -0.019925 Loss_D_fake 0.007520
[435/5000][265/535][44634] Loss_D: -0.028176 Loss_G: 0.031799 Loss_D_real: -0.032496 Loss_D_fake -0.004320
[435/5000][270/535][44635] Loss_D: -0.028755 Loss_G: -0.009540 Loss_D_real: -0.008720 Loss_D_fake 0.020034
[435/5000][275/535][44636] Loss_D: -0.024767 Loss_G: 0.027482 Loss_D_real: -0.042762 Loss_D_fake -0.017995
[435/5000][280/535][44637] Loss_D: -0.027454 Loss_G: 0.023050 Loss_D_real: -0.027058 Loss_D_fake 0.000396
[435/5000][285/535][44638] Loss_D: -0.027727 Loss_G: 0.014914 Loss_D_real: -0.013347 Loss_D_fake 0.014380
[435/5000][290/535][44639] Loss_D: -0.030889 Loss_G: 0.015956 Loss_D_real: -0.022820 Loss_D_fake 0.008069
[435/5000][295/535][44640] Loss_D: -0.028381 Loss_G: -0.000774 Loss_D_real: -0.009720 Loss_D_fake 0.018661
[435/5000][300/535][44641] Loss_D: -0.027933 Loss_G: 0.017288 Loss_D_real: -0.016476 Loss_D_fake 0.011456
[435/5000][305/535][44642] Loss_D: -0.028811 Loss_G: 0.010985 Loss_D_real: -0.016159 Loss_D_fake 0.012652
[435/5000][310/535][44643] Loss_D: -0.028528 Loss_G: 0.020378 Loss_D_real: -0.024357 Loss_D_fake 0.004170
[435/5000][315/535][44644] Loss_D: -0.027559 Loss_G: 0.040868 Loss_D_real: -0.034524 Loss_D_fake -0.006965
[435/5000][320/535][44645] Loss_D: -0.028128 Loss_G: -0.004305 Loss_D_real: -0.010844 Loss_D_fake 0.017284
[435/5000][325/535][44646] Loss_D: -0.026907 Loss_G: 0.018418 Loss_D_real: -0.023173 Loss_D_fake 0.003734
[435/5000][330/535][44647] Loss_D: -0.028479 Loss_G: -0.001395 Loss_D_real: -0.009338 Loss_D_fake 0.019141
[435/5000][335/535][44648] Loss_D: -0.028441 Loss_G: 0.027605 Loss_D_real: -0.023523 Loss_D_fake 0.004918
[435/5000][340/535][44649] Loss_D: -0.028885 Loss_G: 0.030885 Loss_D_real: -0.018986 Loss_D_fake 0.009900
[435/5000][345/535][44650] Loss_D: -0.026454 Loss_G: 0.002568 Loss_D_real: -0.000411 Loss_D_fake 0.026043
[435/5000][350/535][44651] Loss_D: -0.028081 Loss_G: 0.016993 Loss_D_real: -0.023344 Loss_D_fake 0.004737
[435/5000][355/535][44652] Loss_D: -0.028244 Loss_G: 0.005249 Loss_D_real: -0.004452 Loss_D_fake 0.023792
[435/5000][360/535][44653] Loss_D: -0.027821 Loss_G: 0.023377 Loss_D_real: -0.027203 Loss_D_fake 0.000619
[435/5000][365/535][44654] Loss_D: -0.029231 Loss_G: 0.018152 Loss_D_real: -0.012955 Loss_D_fake 0.016276
[435/5000][370/535][44655] Loss_D: -0.026546 Loss_G: 0.033837 Loss_D_real: -0.027251 Loss_D_fake -0.000705
[435/5000][375/535][44656] Loss_D: -0.028496 Loss_G: 0.012260 Loss_D_real: -0.022154 Loss_D_fake 0.006342
[435/5000][380/535][44657] Loss_D: -0.028226 Loss_G: 0.028509 Loss_D_real: -0.033696 Loss_D_fake -0.005470
[435/5000][385/535][44658] Loss_D: -0.029157 Loss_G: 0.003206 Loss_D_real: -0.009599 Loss_D_fake 0.019558
[435/5000][390/535][44659] Loss_D: -0.028708 Loss_G: 0.019859 Loss_D_real: -0.027810 Loss_D_fake 0.000899
[435/5000][395/535][44660] Loss_D: -0.027728 Loss_G: 0.000237 Loss_D_real: -0.009445 Loss_D_fake 0.018283
[435/5000][400/535][44661] Loss_D: -0.026736 Loss_G: 0.018990 Loss_D_real: -0.024227 Loss_D_fake 0.002509
[435/5000][405/535][44662] Loss_D: -0.027635 Loss_G: 0.021167 Loss_D_real: -0.023063 Loss_D_fake 0.004572
[435/5000][410/535][44663] Loss_D: -0.027966 Loss_G: 0.016419 Loss_D_real: -0.027612 Loss_D_fake 0.000354
[435/5000][415/535][44664] Loss_D: -0.027051 Loss_G: 0.026423 Loss_D_real: -0.028479 Loss_D_fake -0.001428
[435/5000][420/535][44665] Loss_D: -0.027731 Loss_G: -0.002532 Loss_D_real: -0.000668 Loss_D_fake 0.027063
[435/5000][425/535][44666] Loss_D: -0.028162 Loss_G: 0.000482 Loss_D_real: -0.010022 Loss_D_fake 0.018140
[435/5000][430/535][44667] Loss_D: -0.027710 Loss_G: 0.020723 Loss_D_real: -0.030755 Loss_D_fake -0.003044
[435/5000][435/535][44668] Loss_D: -0.026989 Loss_G: 0.034491 Loss_D_real: -0.032557 Loss_D_fake -0.005568
[435/5000][440/535][44669] Loss_D: -0.028747 Loss_G: 0.016649 Loss_D_real: -0.018897 Loss_D_fake 0.009850
[435/5000][445/535][44670] Loss_D: -0.028576 Loss_G: 0.019830 Loss_D_real: -0.017055 Loss_D_fake 0.011521
[435/5000][450/535][44671] Loss_D: -0.027926 Loss_G: 0.029022 Loss_D_real: -0.020639 Loss_D_fake 0.007287
[435/5000][455/535][44672] Loss_D: -0.027966 Loss_G: 0.004817 Loss_D_real: -0.000522 Loss_D_fake 0.027443
[435/5000][460/535][44673] Loss_D: -0.025389 Loss_G: 0.006277 Loss_D_real: -0.007909 Loss_D_fake 0.017480
[435/5000][465/535][44674] Loss_D: -0.027617 Loss_G: 0.010842 Loss_D_real: -0.015706 Loss_D_fake 0.011911
[435/5000][470/535][44675] Loss_D: -0.027342 Loss_G: 0.035651 Loss_D_real: -0.035414 Loss_D_fake -0.008072
[435/5000][475/535][44676] Loss_D: -0.028866 Loss_G: 0.017228 Loss_D_real: -0.015784 Loss_D_fake 0.013082
[435/5000][480/535][44677] Loss_D: -0.027212 Loss_G: 0.028484 Loss_D_real: -0.029396 Loss_D_fake -0.002184
[435/5000][485/535][44678] Loss_D: -0.029090 Loss_G: 0.009216 Loss_D_real: -0.016969 Loss_D_fake 0.012121
[435/5000][490/535][44679] Loss_D: -0.028299 Loss_G: 0.013578 Loss_D_real: -0.017419 Loss_D_fake 0.010880
[435/5000][495/535][44680] Loss_D: -0.028838 Loss_G: 0.024141 Loss_D_real: -0.033112 Loss_D_fake -0.004274
[435/5000][500/535][44681] Loss_D: -0.029127 Loss_G: 0.009386 Loss_D_real: -0.019913 Loss_D_fake 0.009214
[435/5000][505/535][44682] Loss_D: -0.029780 Loss_G: 0.019887 Loss_D_real: -0.021049 Loss_D_fake 0.008732
[435/5000][510/535][44683] Loss_D: -0.028845 Loss_G: 0.021230 Loss_D_real: -0.027359 Loss_D_fake 0.001486
[435/5000][515/535][44684] Loss_D: -0.028511 Loss_G: 0.010034 Loss_D_real: -0.023408 Loss_D_fake 0.005103
[435/5000][520/535][44685] Loss_D: -0.028033 Loss_G: 0.006089 Loss_D_real: -0.008146 Loss_D_fake 0.019886
[435/5000][525/535][44686] Loss_D: -0.027206 Loss_G: 0.030994 Loss_D_real: -0.031776 Loss_D_fake -0.004570
[435/5000][530/535][44687] Loss_D: -0.027810 Loss_G: 0.001960 Loss_D_real: -0.014985 Loss_D_fake 0.012825
[435/5000][535/535][44688] Loss_D: -0.027084 Loss_G: 0.038123 Loss_D_real: -0.041414 Loss_D_fake -0.014330
[436/5000][5/535][44689] Loss_D: -0.027713 Loss_G: 0.008828 Loss_D_real: -0.017115 Loss_D_fake 0.010598
[436/5000][10/535][44690] Loss_D: -0.026795 Loss_G: 0.011652 Loss_D_real: -0.018814 Loss_D_fake 0.007982
[436/5000][15/535][44691] Loss_D: -0.027692 Loss_G: 0.010140 Loss_D_real: -0.024273 Loss_D_fake 0.003419
[436/5000][20/535][44692] Loss_D: -0.026538 Loss_G: 0.010487 Loss_D_real: -0.016853 Loss_D_fake 0.009685
[436/5000][25/535][44693] Loss_D: -0.025519 Loss_G: -0.012814 Loss_D_real: -0.000811 Loss_D_fake 0.024709
[436/5000][30/535][44694] Loss_D: -0.026617 Loss_G: 0.015523 Loss_D_real: -0.017387 Loss_D_fake 0.009229
[436/5000][35/535][44695] Loss_D: -0.027700 Loss_G: 0.015842 Loss_D_real: -0.018331 Loss_D_fake 0.009369
[436/5000][40/535][44696] Loss_D: -0.028772 Loss_G: 0.014581 Loss_D_real: -0.020065 Loss_D_fake 0.008707
[436/5000][45/535][44697] Loss_D: -0.028245 Loss_G: 0.017628 Loss_D_real: -0.022774 Loss_D_fake 0.005471
[436/5000][50/535][44698] Loss_D: -0.027538 Loss_G: 0.021577 Loss_D_real: -0.014529 Loss_D_fake 0.013009
[436/5000][55/535][44699] Loss_D: -0.027647 Loss_G: 0.010636 Loss_D_real: -0.012176 Loss_D_fake 0.015471
[436/5000][60/535][44700] Loss_D: -0.026779 Loss_G: 0.013103 Loss_D_real: -0.017128 Loss_D_fake 0.009651
[436/5000][65/535][44701] Loss_D: -0.027082 Loss_G: 0.005526 Loss_D_real: -0.013898 Loss_D_fake 0.013185
[436/5000][70/535][44702] Loss_D: -0.027894 Loss_G: -0.003263 Loss_D_real: -0.010865 Loss_D_fake 0.017029
[436/5000][75/535][44703] Loss_D: -0.027246 Loss_G: 0.011858 Loss_D_real: -0.012172 Loss_D_fake 0.015074
[436/5000][80/535][44704] Loss_D: -0.029695 Loss_G: 0.034683 Loss_D_real: -0.026663 Loss_D_fake 0.003032
[436/5000][85/535][44705] Loss_D: -0.028732 Loss_G: 0.029767 Loss_D_real: -0.028345 Loss_D_fake 0.000388
[436/5000][90/535][44706] Loss_D: -0.029859 Loss_G: 0.011245 Loss_D_real: -0.023699 Loss_D_fake 0.006160
[436/5000][95/535][44707] Loss_D: -0.027259 Loss_G: 0.039862 Loss_D_real: -0.044058 Loss_D_fake -0.016799
[436/5000][100/535][44708] Loss_D: -0.027520 Loss_G: 0.000603 Loss_D_real: -0.008947 Loss_D_fake 0.018574
[436/5000][105/535][44709] Loss_D: -0.027401 Loss_G: 0.010597 Loss_D_real: -0.019674 Loss_D_fake 0.007727
[436/5000][110/535][44710] Loss_D: -0.028725 Loss_G: 0.026950 Loss_D_real: -0.019421 Loss_D_fake 0.009305
[436/5000][115/535][44711] Loss_D: -0.026307 Loss_G: 0.028414 Loss_D_real: -0.027355 Loss_D_fake -0.001048
[436/5000][120/535][44712] Loss_D: -0.029016 Loss_G: 0.010858 Loss_D_real: -0.013330 Loss_D_fake 0.015685
[436/5000][125/535][44713] Loss_D: -0.027832 Loss_G: 0.036579 Loss_D_real: -0.031532 Loss_D_fake -0.003699
[436/5000][130/535][44714] Loss_D: -0.027513 Loss_G: -0.002126 Loss_D_real: 0.014139 Loss_D_fake 0.041651
[436/5000][135/535][44715] Loss_D: -0.027355 Loss_G: 0.017538 Loss_D_real: -0.025212 Loss_D_fake 0.002144
[436/5000][140/535][44716] Loss_D: -0.027807 Loss_G: 0.003168 Loss_D_real: -0.004082 Loss_D_fake 0.023725
[436/5000][145/535][44717] Loss_D: -0.026626 Loss_G: -0.006836 Loss_D_real: 0.004992 Loss_D_fake 0.031618
[436/5000][150/535][44718] Loss_D: -0.028924 Loss_G: 0.027609 Loss_D_real: -0.021494 Loss_D_fake 0.007430
[436/5000][155/535][44719] Loss_D: -0.028320 Loss_G: 0.017091 Loss_D_real: -0.008782 Loss_D_fake 0.019538
[436/5000][160/535][44720] Loss_D: -0.029643 Loss_G: 0.034354 Loss_D_real: -0.025135 Loss_D_fake 0.004508
[436/5000][165/535][44721] Loss_D: -0.029510 Loss_G: 0.001730 Loss_D_real: -0.010763 Loss_D_fake 0.018747
[436/5000][170/535][44722] Loss_D: -0.029546 Loss_G: 0.004729 Loss_D_real: -0.025724 Loss_D_fake 0.003822
[436/5000][175/535][44723] Loss_D: -0.027447 Loss_G: 0.024232 Loss_D_real: -0.019827 Loss_D_fake 0.007620
[436/5000][180/535][44724] Loss_D: -0.028566 Loss_G: 0.031342 Loss_D_real: -0.020051 Loss_D_fake 0.008516
[436/5000][185/535][44725] Loss_D: -0.027339 Loss_G: 0.024891 Loss_D_real: -0.022639 Loss_D_fake 0.004700
[436/5000][190/535][44726] Loss_D: -0.027305 Loss_G: 0.026414 Loss_D_real: -0.034007 Loss_D_fake -0.006702
[436/5000][195/535][44727] Loss_D: -0.027190 Loss_G: 0.021859 Loss_D_real: -0.021348 Loss_D_fake 0.005842
[436/5000][200/535][44728] Loss_D: -0.027803 Loss_G: 0.008552 Loss_D_real: -0.007595 Loss_D_fake 0.020208
[436/5000][205/535][44729] Loss_D: -0.026362 Loss_G: 0.021655 Loss_D_real: -0.028999 Loss_D_fake -0.002637
[436/5000][210/535][44730] Loss_D: -0.027101 Loss_G: 0.027424 Loss_D_real: -0.029857 Loss_D_fake -0.002756
[436/5000][215/535][44731] Loss_D: -0.028279 Loss_G: 0.040567 Loss_D_real: -0.036102 Loss_D_fake -0.007823
[436/5000][220/535][44732] Loss_D: -0.028286 Loss_G: 0.010975 Loss_D_real: -0.012455 Loss_D_fake 0.015830
[436/5000][225/535][44733] Loss_D: -0.027510 Loss_G: 0.017354 Loss_D_real: -0.015499 Loss_D_fake 0.012012
[436/5000][230/535][44734] Loss_D: -0.028772 Loss_G: -0.000213 Loss_D_real: -0.015186 Loss_D_fake 0.013586
[436/5000][235/535][44735] Loss_D: -0.027629 Loss_G: 0.006454 Loss_D_real: -0.003269 Loss_D_fake 0.024361
[436/5000][240/535][44736] Loss_D: -0.027404 Loss_G: 0.022018 Loss_D_real: -0.026311 Loss_D_fake 0.001093
[436/5000][245/535][44737] Loss_D: -0.026908 Loss_G: 0.033202 Loss_D_real: -0.029504 Loss_D_fake -0.002595
[436/5000][250/535][44738] Loss_D: -0.028895 Loss_G: 0.006382 Loss_D_real: -0.005181 Loss_D_fake 0.023714
[436/5000][255/535][44739] Loss_D: -0.027197 Loss_G: 0.021010 Loss_D_real: -0.030522 Loss_D_fake -0.003325
[436/5000][260/535][44740] Loss_D: -0.027846 Loss_G: 0.015184 Loss_D_real: -0.023385 Loss_D_fake 0.004461
[436/5000][265/535][44741] Loss_D: -0.028512 Loss_G: 0.008657 Loss_D_real: -0.016997 Loss_D_fake 0.011515
[436/5000][270/535][44742] Loss_D: -0.028287 Loss_G: 0.018649 Loss_D_real: -0.027613 Loss_D_fake 0.000673
[436/5000][275/535][44743] Loss_D: -0.027353 Loss_G: 0.009969 Loss_D_real: -0.005312 Loss_D_fake 0.022041
[436/5000][280/535][44744] Loss_D: -0.028038 Loss_G: -0.001310 Loss_D_real: -0.007926 Loss_D_fake 0.020112
[436/5000][285/535][44745] Loss_D: -0.029035 Loss_G: 0.023808 Loss_D_real: -0.025752 Loss_D_fake 0.003283
[436/5000][290/535][44746] Loss_D: -0.029352 Loss_G: 0.012029 Loss_D_real: -0.027311 Loss_D_fake 0.002041
[436/5000][295/535][44747] Loss_D: -0.029156 Loss_G: 0.027969 Loss_D_real: -0.017594 Loss_D_fake 0.011562
[436/5000][300/535][44748] Loss_D: -0.027116 Loss_G: 0.004266 Loss_D_real: -0.005477 Loss_D_fake 0.021639
[436/5000][305/535][44749] Loss_D: -0.027678 Loss_G: 0.009010 Loss_D_real: -0.016136 Loss_D_fake 0.011542
[436/5000][310/535][44750] Loss_D: -0.028891 Loss_G: 0.032801 Loss_D_real: -0.029958 Loss_D_fake -0.001067
[436/5000][315/535][44751] Loss_D: -0.027137 Loss_G: 0.002306 Loss_D_real: -0.009774 Loss_D_fake 0.017363
[436/5000][320/535][44752] Loss_D: -0.028644 Loss_G: 0.023705 Loss_D_real: -0.025291 Loss_D_fake 0.003354
[436/5000][325/535][44753] Loss_D: -0.027983 Loss_G: 0.030269 Loss_D_real: -0.029808 Loss_D_fake -0.001825
[436/5000][330/535][44754] Loss_D: -0.028253 Loss_G: -0.010946 Loss_D_real: -0.006696 Loss_D_fake 0.021557
[436/5000][335/535][44755] Loss_D: -0.026143 Loss_G: -0.008813 Loss_D_real: -0.005929 Loss_D_fake 0.020214
[436/5000][340/535][44756] Loss_D: -0.026621 Loss_G: 0.009098 Loss_D_real: -0.021137 Loss_D_fake 0.005484
[436/5000][345/535][44757] Loss_D: -0.028871 Loss_G: 0.015387 Loss_D_real: -0.020892 Loss_D_fake 0.007978
[436/5000][350/535][44758] Loss_D: -0.027643 Loss_G: 0.026298 Loss_D_real: -0.028611 Loss_D_fake -0.000968
[436/5000][355/535][44759] Loss_D: -0.028458 Loss_G: 0.013961 Loss_D_real: -0.016021 Loss_D_fake 0.012437
[436/5000][360/535][44760] Loss_D: -0.028525 Loss_G: 0.032190 Loss_D_real: -0.028449 Loss_D_fake 0.000076
[436/5000][365/535][44761] Loss_D: -0.027508 Loss_G: -0.011219 Loss_D_real: 0.000735 Loss_D_fake 0.028244
[436/5000][370/535][44762] Loss_D: -0.026092 Loss_G: 0.015809 Loss_D_real: -0.029950 Loss_D_fake -0.003858
[436/5000][375/535][44763] Loss_D: -0.029251 Loss_G: 0.012001 Loss_D_real: -0.017264 Loss_D_fake 0.011988
[436/5000][380/535][44764] Loss_D: -0.028811 Loss_G: 0.023950 Loss_D_real: -0.027821 Loss_D_fake 0.000989
[436/5000][385/535][44765] Loss_D: -0.028842 Loss_G: 0.015319 Loss_D_real: -0.021311 Loss_D_fake 0.007531
[436/5000][390/535][44766] Loss_D: -0.028367 Loss_G: 0.004524 Loss_D_real: -0.006547 Loss_D_fake 0.021821
[436/5000][395/535][44767] Loss_D: -0.026832 Loss_G: 0.005738 Loss_D_real: -0.022327 Loss_D_fake 0.004505
[436/5000][400/535][44768] Loss_D: -0.028732 Loss_G: 0.016593 Loss_D_real: -0.014888 Loss_D_fake 0.013844
[436/5000][405/535][44769] Loss_D: -0.028355 Loss_G: 0.019151 Loss_D_real: -0.014526 Loss_D_fake 0.013829
[436/5000][410/535][44770] Loss_D: -0.029847 Loss_G: 0.005767 Loss_D_real: -0.022983 Loss_D_fake 0.006864
[436/5000][415/535][44771] Loss_D: -0.029423 Loss_G: 0.005199 Loss_D_real: -0.018233 Loss_D_fake 0.011190
[436/5000][420/535][44772] Loss_D: -0.028583 Loss_G: 0.006401 Loss_D_real: -0.010626 Loss_D_fake 0.017958
[436/5000][425/535][44773] Loss_D: -0.028501 Loss_G: 0.021520 Loss_D_real: -0.024988 Loss_D_fake 0.003513
[436/5000][430/535][44774] Loss_D: -0.026792 Loss_G: 0.032840 Loss_D_real: -0.030961 Loss_D_fake -0.004169
[436/5000][435/535][44775] Loss_D: -0.027004 Loss_G: -0.018477 Loss_D_real: 0.004673 Loss_D_fake 0.031677
[436/5000][440/535][44776] Loss_D: -0.026883 Loss_G: 0.024017 Loss_D_real: -0.025747 Loss_D_fake 0.001135
[436/5000][445/535][44777] Loss_D: -0.029185 Loss_G: 0.005316 Loss_D_real: -0.023380 Loss_D_fake 0.005806
[436/5000][450/535][44778] Loss_D: -0.027872 Loss_G: 0.021526 Loss_D_real: -0.018494 Loss_D_fake 0.009378
[436/5000][455/535][44779] Loss_D: -0.028433 Loss_G: 0.030153 Loss_D_real: -0.024502 Loss_D_fake 0.003931
[436/5000][460/535][44780] Loss_D: -0.028446 Loss_G: 0.039479 Loss_D_real: -0.028272 Loss_D_fake 0.000174
[436/5000][465/535][44781] Loss_D: -0.028966 Loss_G: 0.021271 Loss_D_real: -0.015094 Loss_D_fake 0.013872
[436/5000][470/535][44782] Loss_D: -0.029093 Loss_G: 0.011920 Loss_D_real: -0.016538 Loss_D_fake 0.012554
[436/5000][475/535][44783] Loss_D: -0.027183 Loss_G: 0.025394 Loss_D_real: -0.038619 Loss_D_fake -0.011436
[436/5000][480/535][44784] Loss_D: -0.028158 Loss_G: 0.024545 Loss_D_real: -0.024657 Loss_D_fake 0.003500
[436/5000][485/535][44785] Loss_D: -0.029790 Loss_G: 0.005310 Loss_D_real: -0.016391 Loss_D_fake 0.013399
[436/5000][490/535][44786] Loss_D: -0.027753 Loss_G: -0.009234 Loss_D_real: -0.008449 Loss_D_fake 0.019304
[436/5000][495/535][44787] Loss_D: -0.028155 Loss_G: 0.032145 Loss_D_real: -0.031679 Loss_D_fake -0.003523
[436/5000][500/535][44788] Loss_D: -0.027585 Loss_G: 0.000498 Loss_D_real: -0.010234 Loss_D_fake 0.017351
[436/5000][505/535][44789] Loss_D: -0.027350 Loss_G: 0.016978 Loss_D_real: -0.011201 Loss_D_fake 0.016148
[436/5000][510/535][44790] Loss_D: -0.027250 Loss_G: 0.009092 Loss_D_real: -0.021057 Loss_D_fake 0.006193
[436/5000][515/535][44791] Loss_D: -0.028619 Loss_G: -0.002602 Loss_D_real: -0.009448 Loss_D_fake 0.019171
[436/5000][520/535][44792] Loss_D: -0.027037 Loss_G: 0.023835 Loss_D_real: -0.021804 Loss_D_fake 0.005233
[436/5000][525/535][44793] Loss_D: -0.027767 Loss_G: 0.017547 Loss_D_real: -0.019877 Loss_D_fake 0.007891
[436/5000][530/535][44794] Loss_D: -0.028700 Loss_G: 0.028194 Loss_D_real: -0.026201 Loss_D_fake 0.002498
[436/5000][535/535][44795] Loss_D: -0.030140 Loss_G: 0.002093 Loss_D_real: -0.008894 Loss_D_fake 0.021246
[437/5000][5/535][44796] Loss_D: -0.028573 Loss_G: -0.002914 Loss_D_real: -0.015258 Loss_D_fake 0.013315
[437/5000][10/535][44797] Loss_D: -0.027382 Loss_G: 0.028811 Loss_D_real: -0.025478 Loss_D_fake 0.001904
[437/5000][15/535][44798] Loss_D: -0.027340 Loss_G: 0.007381 Loss_D_real: -0.000624 Loss_D_fake 0.026716
[437/5000][20/535][44799] Loss_D: -0.028114 Loss_G: 0.009483 Loss_D_real: -0.011770 Loss_D_fake 0.016344
[437/5000][25/535][44800] Loss_D: -0.026400 Loss_G: 0.029971 Loss_D_real: -0.041927 Loss_D_fake -0.015528
[437/5000][30/535][44801] Loss_D: -0.028518 Loss_G: 0.019528 Loss_D_real: -0.031384 Loss_D_fake -0.002866
[437/5000][35/535][44802] Loss_D: -0.028787 Loss_G: 0.032137 Loss_D_real: -0.024040 Loss_D_fake 0.004747
[437/5000][40/535][44803] Loss_D: -0.028062 Loss_G: 0.011099 Loss_D_real: -0.021140 Loss_D_fake 0.006921
[437/5000][45/535][44804] Loss_D: -0.027030 Loss_G: 0.032509 Loss_D_real: -0.028359 Loss_D_fake -0.001329
[437/5000][50/535][44805] Loss_D: -0.028391 Loss_G: -0.012559 Loss_D_real: -0.006868 Loss_D_fake 0.021523
[437/5000][55/535][44806] Loss_D: -0.028230 Loss_G: 0.028624 Loss_D_real: -0.025981 Loss_D_fake 0.002249
[437/5000][60/535][44807] Loss_D: -0.027972 Loss_G: 0.012987 Loss_D_real: -0.015866 Loss_D_fake 0.012106
[437/5000][65/535][44808] Loss_D: -0.028105 Loss_G: 0.014621 Loss_D_real: -0.017674 Loss_D_fake 0.010431
[437/5000][70/535][44809] Loss_D: -0.028543 Loss_G: 0.026339 Loss_D_real: -0.019232 Loss_D_fake 0.009311
[437/5000][75/535][44810] Loss_D: -0.028241 Loss_G: -0.011792 Loss_D_real: -0.002953 Loss_D_fake 0.025288
[437/5000][80/535][44811] Loss_D: -0.027628 Loss_G: 0.035357 Loss_D_real: -0.033898 Loss_D_fake -0.006270
[437/5000][85/535][44812] Loss_D: -0.028298 Loss_G: 0.009766 Loss_D_real: -0.004721 Loss_D_fake 0.023577
[437/5000][90/535][44813] Loss_D: -0.027746 Loss_G: 0.018830 Loss_D_real: -0.024939 Loss_D_fake 0.002808
[437/5000][95/535][44814] Loss_D: -0.028207 Loss_G: 0.009685 Loss_D_real: -0.009476 Loss_D_fake 0.018731
[437/5000][100/535][44815] Loss_D: -0.028386 Loss_G: 0.007676 Loss_D_real: -0.014629 Loss_D_fake 0.013757
[437/5000][105/535][44816] Loss_D: -0.028344 Loss_G: 0.027580 Loss_D_real: -0.038164 Loss_D_fake -0.009820
[437/5000][110/535][44817] Loss_D: -0.028340 Loss_G: -0.003243 Loss_D_real: -0.001984 Loss_D_fake 0.026355
[437/5000][115/535][44818] Loss_D: -0.026277 Loss_G: 0.029087 Loss_D_real: -0.037372 Loss_D_fake -0.011095
[437/5000][120/535][44819] Loss_D: -0.027101 Loss_G: -0.006295 Loss_D_real: 0.001599 Loss_D_fake 0.028701
[437/5000][125/535][44820] Loss_D: -0.026758 Loss_G: 0.020070 Loss_D_real: -0.018608 Loss_D_fake 0.008150
[437/5000][130/535][44821] Loss_D: -0.027464 Loss_G: 0.014935 Loss_D_real: -0.013348 Loss_D_fake 0.014117
[437/5000][135/535][44822] Loss_D: -0.028614 Loss_G: 0.015890 Loss_D_real: -0.014211 Loss_D_fake 0.014403
[437/5000][140/535][44823] Loss_D: -0.026354 Loss_G: 0.024498 Loss_D_real: -0.028163 Loss_D_fake -0.001809
[437/5000][145/535][44824] Loss_D: -0.028157 Loss_G: 0.024270 Loss_D_real: -0.027281 Loss_D_fake 0.000877
[437/5000][150/535][44825] Loss_D: -0.027363 Loss_G: 0.011116 Loss_D_real: -0.029071 Loss_D_fake -0.001708
[437/5000][155/535][44826] Loss_D: -0.027589 Loss_G: 0.017130 Loss_D_real: -0.021796 Loss_D_fake 0.005793
[437/5000][160/535][44827] Loss_D: -0.028645 Loss_G: -0.010707 Loss_D_real: 0.001867 Loss_D_fake 0.030512
[437/5000][165/535][44828] Loss_D: -0.026696 Loss_G: 0.026376 Loss_D_real: -0.020424 Loss_D_fake 0.006271
[437/5000][170/535][44829] Loss_D: -0.028038 Loss_G: 0.011162 Loss_D_real: -0.014378 Loss_D_fake 0.013660
[437/5000][175/535][44830] Loss_D: -0.026823 Loss_G: 0.037965 Loss_D_real: -0.030308 Loss_D_fake -0.003485
[437/5000][180/535][44831] Loss_D: -0.029081 Loss_G: 0.026282 Loss_D_real: -0.029427 Loss_D_fake -0.000347
[437/5000][185/535][44832] Loss_D: -0.029123 Loss_G: 0.008952 Loss_D_real: -0.016185 Loss_D_fake 0.012938
[437/5000][190/535][44833] Loss_D: -0.029616 Loss_G: 0.016513 Loss_D_real: -0.019817 Loss_D_fake 0.009798
[437/5000][195/535][44834] Loss_D: -0.027458 Loss_G: 0.028091 Loss_D_real: -0.035995 Loss_D_fake -0.008537
[437/5000][200/535][44835] Loss_D: -0.029637 Loss_G: -0.001304 Loss_D_real: -0.009734 Loss_D_fake 0.019903
[437/5000][205/535][44836] Loss_D: -0.027611 Loss_G: 0.013417 Loss_D_real: -0.019972 Loss_D_fake 0.007639
[437/5000][210/535][44837] Loss_D: -0.029113 Loss_G: 0.014740 Loss_D_real: -0.022249 Loss_D_fake 0.006864
[437/5000][215/535][44838] Loss_D: -0.029017 Loss_G: 0.000616 Loss_D_real: -0.012977 Loss_D_fake 0.016040
[437/5000][220/535][44839] Loss_D: -0.027798 Loss_G: 0.025817 Loss_D_real: -0.025183 Loss_D_fake 0.002615
[437/5000][225/535][44840] Loss_D: -0.027820 Loss_G: 0.024545 Loss_D_real: -0.022231 Loss_D_fake 0.005589
[437/5000][230/535][44841] Loss_D: -0.026615 Loss_G: 0.039656 Loss_D_real: -0.033790 Loss_D_fake -0.007174
[437/5000][235/535][44842] Loss_D: -0.027244 Loss_G: 0.025682 Loss_D_real: -0.030844 Loss_D_fake -0.003600
[437/5000][240/535][44843] Loss_D: -0.028085 Loss_G: 0.001240 Loss_D_real: -0.005050 Loss_D_fake 0.023035
[437/5000][245/535][44844] Loss_D: -0.026997 Loss_G: -0.004365 Loss_D_real: -0.001981 Loss_D_fake 0.025017
[437/5000][250/535][44845] Loss_D: -0.027814 Loss_G: 0.021495 Loss_D_real: -0.028255 Loss_D_fake -0.000441
[437/5000][255/535][44846] Loss_D: -0.029317 Loss_G: 0.005086 Loss_D_real: -0.012637 Loss_D_fake 0.016680
[437/5000][260/535][44847] Loss_D: -0.028320 Loss_G: 0.025691 Loss_D_real: -0.021763 Loss_D_fake 0.006558
[437/5000][265/535][44848] Loss_D: -0.027201 Loss_G: 0.021144 Loss_D_real: -0.017269 Loss_D_fake 0.009933
[437/5000][270/535][44849] Loss_D: -0.027854 Loss_G: 0.029604 Loss_D_real: -0.028019 Loss_D_fake -0.000165
[437/5000][275/535][44850] Loss_D: -0.028931 Loss_G: 0.004599 Loss_D_real: -0.014098 Loss_D_fake 0.014833
[437/5000][280/535][44851] Loss_D: -0.026691 Loss_G: 0.029763 Loss_D_real: -0.025520 Loss_D_fake 0.001171
[437/5000][285/535][44852] Loss_D: -0.028538 Loss_G: 0.002939 Loss_D_real: -0.003663 Loss_D_fake 0.024875
[437/5000][290/535][44853] Loss_D: -0.029302 Loss_G: 0.008592 Loss_D_real: -0.018003 Loss_D_fake 0.011299
[437/5000][295/535][44854] Loss_D: -0.027210 Loss_G: 0.041590 Loss_D_real: -0.032043 Loss_D_fake -0.004833
[437/5000][300/535][44855] Loss_D: -0.027976 Loss_G: 0.006214 Loss_D_real: 0.001006 Loss_D_fake 0.028982
[437/5000][305/535][44856] Loss_D: -0.027157 Loss_G: 0.008028 Loss_D_real: -0.010533 Loss_D_fake 0.016624
[437/5000][310/535][44857] Loss_D: -0.028225 Loss_G: 0.030153 Loss_D_real: -0.028650 Loss_D_fake -0.000426
[437/5000][315/535][44858] Loss_D: -0.027455 Loss_G: 0.012422 Loss_D_real: -0.018981 Loss_D_fake 0.008475
[437/5000][320/535][44859] Loss_D: -0.027137 Loss_G: 0.005883 Loss_D_real: -0.010099 Loss_D_fake 0.017038
[437/5000][325/535][44860] Loss_D: -0.027726 Loss_G: 0.008612 Loss_D_real: -0.014439 Loss_D_fake 0.013287
[437/5000][330/535][44861] Loss_D: -0.026864 Loss_G: 0.030695 Loss_D_real: -0.031798 Loss_D_fake -0.004934
[437/5000][335/535][44862] Loss_D: -0.028510 Loss_G: 0.020338 Loss_D_real: -0.027757 Loss_D_fake 0.000753
[437/5000][340/535][44863] Loss_D: -0.029121 Loss_G: 0.012649 Loss_D_real: -0.010304 Loss_D_fake 0.018817
[437/5000][345/535][44864] Loss_D: -0.028936 Loss_G: 0.008958 Loss_D_real: -0.014252 Loss_D_fake 0.014684
[437/5000][350/535][44865] Loss_D: -0.028375 Loss_G: 0.021904 Loss_D_real: -0.023336 Loss_D_fake 0.005039
[437/5000][355/535][44866] Loss_D: -0.027979 Loss_G: 0.019275 Loss_D_real: -0.013221 Loss_D_fake 0.014758
[437/5000][360/535][44867] Loss_D: -0.028020 Loss_G: 0.012654 Loss_D_real: -0.018126 Loss_D_fake 0.009894
[437/5000][365/535][44868] Loss_D: -0.027510 Loss_G: -0.004472 Loss_D_real: -0.005099 Loss_D_fake 0.022411
[437/5000][370/535][44869] Loss_D: -0.027683 Loss_G: 0.023688 Loss_D_real: -0.020206 Loss_D_fake 0.007476
[437/5000][375/535][44870] Loss_D: -0.026460 Loss_G: 0.025504 Loss_D_real: -0.027597 Loss_D_fake -0.001137
[437/5000][380/535][44871] Loss_D: -0.027759 Loss_G: 0.020548 Loss_D_real: -0.019626 Loss_D_fake 0.008133
[437/5000][385/535][44872] Loss_D: -0.028609 Loss_G: 0.010429 Loss_D_real: -0.016457 Loss_D_fake 0.012152
[437/5000][390/535][44873] Loss_D: -0.027597 Loss_G: 0.028634 Loss_D_real: -0.028712 Loss_D_fake -0.001115
[437/5000][395/535][44874] Loss_D: -0.028381 Loss_G: 0.001062 Loss_D_real: -0.005134 Loss_D_fake 0.023247
[437/5000][400/535][44875] Loss_D: -0.027788 Loss_G: 0.019586 Loss_D_real: -0.024640 Loss_D_fake 0.003148
[437/5000][405/535][44876] Loss_D: -0.028343 Loss_G: -0.007339 Loss_D_real: 0.001316 Loss_D_fake 0.029659
[437/5000][410/535][44877] Loss_D: -0.026751 Loss_G: 0.039956 Loss_D_real: -0.035476 Loss_D_fake -0.008725
[437/5000][415/535][44878] Loss_D: -0.026419 Loss_G: -0.011201 Loss_D_real: 0.004626 Loss_D_fake 0.031045
[437/5000][420/535][44879] Loss_D: -0.026232 Loss_G: 0.015045 Loss_D_real: -0.021805 Loss_D_fake 0.004427
[437/5000][425/535][44880] Loss_D: -0.027998 Loss_G: 0.019241 Loss_D_real: -0.020482 Loss_D_fake 0.007516
[437/5000][430/535][44881] Loss_D: -0.028400 Loss_G: 0.012935 Loss_D_real: -0.019133 Loss_D_fake 0.009267
[437/5000][435/535][44882] Loss_D: -0.028808 Loss_G: 0.023071 Loss_D_real: -0.029566 Loss_D_fake -0.000758
[437/5000][440/535][44883] Loss_D: -0.027502 Loss_G: -0.017112 Loss_D_real: 0.000113 Loss_D_fake 0.027615
[437/5000][445/535][44884] Loss_D: -0.025843 Loss_G: 0.007265 Loss_D_real: -0.020466 Loss_D_fake 0.005377
[437/5000][450/535][44885] Loss_D: -0.028006 Loss_G: 0.012159 Loss_D_real: -0.024056 Loss_D_fake 0.003950
[437/5000][455/535][44886] Loss_D: -0.027381 Loss_G: 0.023785 Loss_D_real: -0.021892 Loss_D_fake 0.005489
[437/5000][460/535][44887] Loss_D: -0.029028 Loss_G: 0.019919 Loss_D_real: -0.013714 Loss_D_fake 0.015314
[437/5000][465/535][44888] Loss_D: -0.027780 Loss_G: 0.012834 Loss_D_real: -0.004296 Loss_D_fake 0.023484
[437/5000][470/535][44889] Loss_D: -0.027787 Loss_G: -0.001488 Loss_D_real: -0.004469 Loss_D_fake 0.023318
[437/5000][475/535][44890] Loss_D: -0.026967 Loss_G: 0.026422 Loss_D_real: -0.032664 Loss_D_fake -0.005698
[437/5000][480/535][44891] Loss_D: -0.028958 Loss_G: 0.007196 Loss_D_real: -0.009748 Loss_D_fake 0.019210
[437/5000][485/535][44892] Loss_D: -0.028447 Loss_G: 0.021098 Loss_D_real: -0.019446 Loss_D_fake 0.009001
[437/5000][490/535][44893] Loss_D: -0.027888 Loss_G: 0.032330 Loss_D_real: -0.026897 Loss_D_fake 0.000991
[437/5000][495/535][44894] Loss_D: -0.026664 Loss_G: 0.014116 Loss_D_real: -0.015470 Loss_D_fake 0.011194
[437/5000][500/535][44895] Loss_D: -0.027608 Loss_G: 0.026189 Loss_D_real: -0.032009 Loss_D_fake -0.004401
[437/5000][505/535][44896] Loss_D: -0.029528 Loss_G: 0.013653 Loss_D_real: -0.017690 Loss_D_fake 0.011838
[437/5000][510/535][44897] Loss_D: -0.025988 Loss_G: -0.009772 Loss_D_real: 0.004172 Loss_D_fake 0.030159
[437/5000][515/535][44898] Loss_D: -0.026822 Loss_G: 0.020616 Loss_D_real: -0.026599 Loss_D_fake 0.000222
[437/5000][520/535][44899] Loss_D: -0.027319 Loss_G: 0.017783 Loss_D_real: -0.022725 Loss_D_fake 0.004593
[437/5000][525/535][44900] Loss_D: -0.027936 Loss_G: 0.034044 Loss_D_real: -0.031447 Loss_D_fake -0.003512
[437/5000][530/535][44901] Loss_D: -0.027744 Loss_G: -0.002918 Loss_D_real: -0.001252 Loss_D_fake 0.026493
[437/5000][535/535][44902] Loss_D: -0.026169 Loss_G: 0.007467 Loss_D_real: -0.022278 Loss_D_fake 0.003890
[438/5000][5/535][44903] Loss_D: -0.027371 Loss_G: -0.007315 Loss_D_real: -0.008253 Loss_D_fake 0.019118
[438/5000][10/535][44904] Loss_D: -0.027370 Loss_G: 0.039777 Loss_D_real: -0.036628 Loss_D_fake -0.009258
[438/5000][15/535][44905] Loss_D: -0.025976 Loss_G: -0.002088 Loss_D_real: -0.003570 Loss_D_fake 0.022407
[438/5000][20/535][44906] Loss_D: -0.027140 Loss_G: 0.017372 Loss_D_real: -0.025598 Loss_D_fake 0.001542
[438/5000][25/535][44907] Loss_D: -0.027297 Loss_G: 0.013670 Loss_D_real: -0.009561 Loss_D_fake 0.017736
[438/5000][30/535][44908] Loss_D: -0.027900 Loss_G: 0.019206 Loss_D_real: -0.014236 Loss_D_fake 0.013664
[438/5000][35/535][44909] Loss_D: -0.028083 Loss_G: 0.025545 Loss_D_real: -0.017852 Loss_D_fake 0.010232
[438/5000][40/535][44910] Loss_D: -0.027088 Loss_G: 0.001162 Loss_D_real: -0.013010 Loss_D_fake 0.014078
[438/5000][45/535][44911] Loss_D: -0.027508 Loss_G: 0.012480 Loss_D_real: -0.015437 Loss_D_fake 0.012071
[438/5000][50/535][44912] Loss_D: -0.027705 Loss_G: -0.006739 Loss_D_real: -0.001541 Loss_D_fake 0.026164
[438/5000][55/535][44913] Loss_D: -0.029021 Loss_G: 0.018219 Loss_D_real: -0.023717 Loss_D_fake 0.005304
[438/5000][60/535][44914] Loss_D: -0.028243 Loss_G: -0.001584 Loss_D_real: 0.005635 Loss_D_fake 0.033879
[438/5000][65/535][44915] Loss_D: -0.028757 Loss_G: 0.020742 Loss_D_real: -0.026110 Loss_D_fake 0.002647
[438/5000][70/535][44916] Loss_D: -0.027911 Loss_G: 0.002125 Loss_D_real: -0.005369 Loss_D_fake 0.022542
[438/5000][75/535][44917] Loss_D: -0.028331 Loss_G: 0.017551 Loss_D_real: -0.019451 Loss_D_fake 0.008880
[438/5000][80/535][44918] Loss_D: -0.027067 Loss_G: 0.024577 Loss_D_real: -0.028423 Loss_D_fake -0.001355
[438/5000][85/535][44919] Loss_D: -0.027999 Loss_G: 0.019334 Loss_D_real: -0.028048 Loss_D_fake -0.000049
[438/5000][90/535][44920] Loss_D: -0.028451 Loss_G: 0.011118 Loss_D_real: -0.017474 Loss_D_fake 0.010977
[438/5000][95/535][44921] Loss_D: -0.027819 Loss_G: 0.013508 Loss_D_real: -0.010524 Loss_D_fake 0.017295
[438/5000][100/535][44922] Loss_D: -0.028071 Loss_G: -0.003833 Loss_D_real: -0.007159 Loss_D_fake 0.020912
[438/5000][105/535][44923] Loss_D: -0.027265 Loss_G: 0.024017 Loss_D_real: -0.030952 Loss_D_fake -0.003687
[438/5000][110/535][44924] Loss_D: -0.027886 Loss_G: 0.000898 Loss_D_real: -0.004696 Loss_D_fake 0.023190
[438/5000][115/535][44925] Loss_D: -0.026293 Loss_G: -0.006241 Loss_D_real: 0.006271 Loss_D_fake 0.032564
[438/5000][120/535][44926] Loss_D: -0.024703 Loss_G: 0.031287 Loss_D_real: -0.033619 Loss_D_fake -0.008916
[438/5000][125/535][44927] Loss_D: -0.028933 Loss_G: 0.002449 Loss_D_real: -0.011760 Loss_D_fake 0.017173
[438/5000][130/535][44928] Loss_D: -0.026969 Loss_G: 0.032111 Loss_D_real: -0.033255 Loss_D_fake -0.006286
[438/5000][135/535][44929] Loss_D: -0.027951 Loss_G: 0.017853 Loss_D_real: -0.021558 Loss_D_fake 0.006392
[438/5000][140/535][44930] Loss_D: -0.028715 Loss_G: 0.030121 Loss_D_real: -0.026220 Loss_D_fake 0.002495
[438/5000][145/535][44931] Loss_D: -0.028598 Loss_G: 0.009818 Loss_D_real: -0.004474 Loss_D_fake 0.024124
[438/5000][150/535][44932] Loss_D: -0.028957 Loss_G: 0.015635 Loss_D_real: -0.028940 Loss_D_fake 0.000017
[438/5000][155/535][44933] Loss_D: -0.029003 Loss_G: 0.027769 Loss_D_real: -0.023476 Loss_D_fake 0.005526
[438/5000][160/535][44934] Loss_D: -0.029120 Loss_G: 0.006635 Loss_D_real: -0.006815 Loss_D_fake 0.022305
[438/5000][165/535][44935] Loss_D: -0.027964 Loss_G: 0.019000 Loss_D_real: -0.015891 Loss_D_fake 0.012073
[438/5000][170/535][44936] Loss_D: -0.028336 Loss_G: -0.006996 Loss_D_real: 0.007555 Loss_D_fake 0.035891
[438/5000][175/535][44937] Loss_D: -0.027242 Loss_G: 0.025398 Loss_D_real: -0.022680 Loss_D_fake 0.004561
[438/5000][180/535][44938] Loss_D: -0.026941 Loss_G: 0.000455 Loss_D_real: -0.002741 Loss_D_fake 0.024200
[438/5000][185/535][44939] Loss_D: -0.026594 Loss_G: 0.017478 Loss_D_real: -0.029546 Loss_D_fake -0.002952
[438/5000][190/535][44940] Loss_D: -0.028315 Loss_G: 0.010196 Loss_D_real: -0.006833 Loss_D_fake 0.021482
[438/5000][195/535][44941] Loss_D: -0.027229 Loss_G: 0.000273 Loss_D_real: -0.002720 Loss_D_fake 0.024509
[438/5000][200/535][44942] Loss_D: -0.027068 Loss_G: 0.008928 Loss_D_real: -0.016831 Loss_D_fake 0.010237
[438/5000][205/535][44943] Loss_D: -0.029602 Loss_G: 0.027020 Loss_D_real: -0.023619 Loss_D_fake 0.005983
[438/5000][210/535][44944] Loss_D: -0.028066 Loss_G: -0.009498 Loss_D_real: -0.013939 Loss_D_fake 0.014127
[438/5000][215/535][44945] Loss_D: -0.027857 Loss_G: 0.010784 Loss_D_real: -0.020813 Loss_D_fake 0.007044
[438/5000][220/535][44946] Loss_D: -0.027503 Loss_G: 0.011300 Loss_D_real: -0.019376 Loss_D_fake 0.008127
[438/5000][225/535][44947] Loss_D: -0.027511 Loss_G: -0.015918 Loss_D_real: 0.001831 Loss_D_fake 0.029343
[438/5000][230/535][44948] Loss_D: -0.027717 Loss_G: -0.000287 Loss_D_real: -0.014014 Loss_D_fake 0.013703
[438/5000][235/535][44949] Loss_D: -0.029077 Loss_G: 0.026597 Loss_D_real: -0.029602 Loss_D_fake -0.000525
[438/5000][240/535][44950] Loss_D: -0.029694 Loss_G: 0.023717 Loss_D_real: -0.026767 Loss_D_fake 0.002927
[438/5000][245/535][44951] Loss_D: -0.028930 Loss_G: 0.009661 Loss_D_real: -0.007744 Loss_D_fake 0.021186
[438/5000][250/535][44952] Loss_D: -0.028756 Loss_G: 0.001448 Loss_D_real: -0.004652 Loss_D_fake 0.024104
[438/5000][255/535][44953] Loss_D: -0.029183 Loss_G: 0.007241 Loss_D_real: -0.012969 Loss_D_fake 0.016214
[438/5000][260/535][44954] Loss_D: -0.029563 Loss_G: 0.010698 Loss_D_real: -0.027670 Loss_D_fake 0.001893
[438/5000][265/535][44955] Loss_D: -0.027212 Loss_G: -0.014705 Loss_D_real: 0.002152 Loss_D_fake 0.029364
[438/5000][270/535][44956] Loss_D: -0.029028 Loss_G: 0.027710 Loss_D_real: -0.017240 Loss_D_fake 0.011788
[438/5000][275/535][44957] Loss_D: -0.027407 Loss_G: -0.012742 Loss_D_real: -0.004335 Loss_D_fake 0.023072
[438/5000][280/535][44958] Loss_D: -0.028541 Loss_G: 0.022283 Loss_D_real: -0.026387 Loss_D_fake 0.002154
[438/5000][285/535][44959] Loss_D: -0.027518 Loss_G: -0.003145 Loss_D_real: -0.004306 Loss_D_fake 0.023213
[438/5000][290/535][44960] Loss_D: -0.028324 Loss_G: 0.003348 Loss_D_real: -0.003789 Loss_D_fake 0.024535
[438/5000][295/535][44961] Loss_D: -0.028577 Loss_G: 0.006929 Loss_D_real: -0.012662 Loss_D_fake 0.015916
[438/5000][300/535][44962] Loss_D: -0.026618 Loss_G: 0.029786 Loss_D_real: -0.035678 Loss_D_fake -0.009060
[438/5000][305/535][44963] Loss_D: -0.025929 Loss_G: -0.007229 Loss_D_real: 0.003988 Loss_D_fake 0.029917
[438/5000][310/535][44964] Loss_D: -0.027234 Loss_G: 0.020968 Loss_D_real: -0.024732 Loss_D_fake 0.002502
[438/5000][315/535][44965] Loss_D: -0.028562 Loss_G: 0.019414 Loss_D_real: -0.021625 Loss_D_fake 0.006937
[438/5000][320/535][44966] Loss_D: -0.026432 Loss_G: 0.002679 Loss_D_real: -0.010830 Loss_D_fake 0.015602
[438/5000][325/535][44967] Loss_D: -0.026760 Loss_G: 0.010208 Loss_D_real: -0.016693 Loss_D_fake 0.010067
[438/5000][330/535][44968] Loss_D: -0.027863 Loss_G: 0.026004 Loss_D_real: -0.013123 Loss_D_fake 0.014740
[438/5000][335/535][44969] Loss_D: -0.027160 Loss_G: 0.016691 Loss_D_real: -0.008425 Loss_D_fake 0.018735
[438/5000][340/535][44970] Loss_D: -0.028984 Loss_G: 0.012723 Loss_D_real: -0.009791 Loss_D_fake 0.019193
[438/5000][345/535][44971] Loss_D: -0.028191 Loss_G: 0.028372 Loss_D_real: -0.020224 Loss_D_fake 0.007967
[438/5000][350/535][44972] Loss_D: -0.025860 Loss_G: -0.011202 Loss_D_real: 0.000671 Loss_D_fake 0.026532
[438/5000][355/535][44973] Loss_D: -0.027792 Loss_G: 0.018658 Loss_D_real: -0.017350 Loss_D_fake 0.010441
[438/5000][360/535][44974] Loss_D: -0.027474 Loss_G: 0.031320 Loss_D_real: -0.031149 Loss_D_fake -0.003675
[438/5000][365/535][44975] Loss_D: -0.028271 Loss_G: -0.014499 Loss_D_real: 0.002161 Loss_D_fake 0.030432
[438/5000][370/535][44976] Loss_D: -0.027131 Loss_G: 0.026737 Loss_D_real: -0.020163 Loss_D_fake 0.006968
[438/5000][375/535][44977] Loss_D: -0.028466 Loss_G: 0.013932 Loss_D_real: -0.019037 Loss_D_fake 0.009429
[438/5000][380/535][44978] Loss_D: -0.028566 Loss_G: 0.012863 Loss_D_real: -0.029223 Loss_D_fake -0.000657
[438/5000][385/535][44979] Loss_D: -0.027671 Loss_G: 0.004892 Loss_D_real: -0.012475 Loss_D_fake 0.015196
[438/5000][390/535][44980] Loss_D: -0.027678 Loss_G: 0.013938 Loss_D_real: -0.016934 Loss_D_fake 0.010744
[438/5000][395/535][44981] Loss_D: -0.027872 Loss_G: 0.038021 Loss_D_real: -0.031161 Loss_D_fake -0.003289
[438/5000][400/535][44982] Loss_D: -0.027746 Loss_G: 0.006601 Loss_D_real: -0.009367 Loss_D_fake 0.018379
[438/5000][405/535][44983] Loss_D: -0.027526 Loss_G: 0.032050 Loss_D_real: -0.036385 Loss_D_fake -0.008859
[438/5000][410/535][44984] Loss_D: -0.027917 Loss_G: 0.023996 Loss_D_real: -0.027921 Loss_D_fake -0.000004
[438/5000][415/535][44985] Loss_D: -0.029234 Loss_G: 0.001250 Loss_D_real: -0.010846 Loss_D_fake 0.018388
[438/5000][420/535][44986] Loss_D: -0.026620 Loss_G: 0.018100 Loss_D_real: -0.022921 Loss_D_fake 0.003699
[438/5000][425/535][44987] Loss_D: -0.026312 Loss_G: -0.005343 Loss_D_real: -0.003160 Loss_D_fake 0.023152
[438/5000][430/535][44988] Loss_D: -0.028018 Loss_G: 0.020809 Loss_D_real: -0.022034 Loss_D_fake 0.005985
[438/5000][435/535][44989] Loss_D: -0.028035 Loss_G: 0.019904 Loss_D_real: -0.020018 Loss_D_fake 0.008017
[438/5000][440/535][44990] Loss_D: -0.027112 Loss_G: 0.021467 Loss_D_real: -0.026744 Loss_D_fake 0.000369
[438/5000][445/535][44991] Loss_D: -0.028230 Loss_G: 0.001108 Loss_D_real: -0.001444 Loss_D_fake 0.026786
[438/5000][450/535][44992] Loss_D: -0.027245 Loss_G: 0.000880 Loss_D_real: -0.000946 Loss_D_fake 0.026299
[438/5000][455/535][44993] Loss_D: -0.029186 Loss_G: 0.027576 Loss_D_real: -0.020894 Loss_D_fake 0.008292
[438/5000][460/535][44994] Loss_D: -0.028373 Loss_G: 0.002485 Loss_D_real: -0.001301 Loss_D_fake 0.027071
[438/5000][465/535][44995] Loss_D: -0.026996 Loss_G: 0.022418 Loss_D_real: -0.026509 Loss_D_fake 0.000487
[438/5000][470/535][44996] Loss_D: -0.027295 Loss_G: 0.026881 Loss_D_real: -0.028136 Loss_D_fake -0.000841
[438/5000][475/535][44997] Loss_D: -0.026698 Loss_G: -0.001291 Loss_D_real: -0.009220 Loss_D_fake 0.017478
[438/5000][480/535][44998] Loss_D: -0.027657 Loss_G: 0.008615 Loss_D_real: -0.018890 Loss_D_fake 0.008767
[438/5000][485/535][44999] Loss_D: -0.026367 Loss_G: 0.000701 Loss_D_real: -0.007152 Loss_D_fake 0.019216
[438/5000][490/535][45000] Loss_D: -0.027966 Loss_G: 0.022535 Loss_D_real: -0.024609 Loss_D_fake 0.003357
[438/5000][535/535][45001] Loss_D: -0.030359 Loss_G: -0.000233 Loss_D_real: 0.002074 Loss_D_fake 0.032433
[439/5000][5/535][45002] Loss_D: -0.029707 Loss_G: 0.009264 Loss_D_real: -0.020604 Loss_D_fake 0.009103
[439/5000][10/535][45003] Loss_D: -0.026748 Loss_G: 0.001773 Loss_D_real: -0.006038 Loss_D_fake 0.020711
[439/5000][15/535][45004] Loss_D: -0.026581 Loss_G: 0.022127 Loss_D_real: -0.016910 Loss_D_fake 0.009671
[439/5000][20/535][45005] Loss_D: -0.027616 Loss_G: 0.005451 Loss_D_real: -0.008245 Loss_D_fake 0.019370
[439/5000][25/535][45006] Loss_D: -0.027679 Loss_G: 0.003082 Loss_D_real: -0.003922 Loss_D_fake 0.023758
[439/5000][30/535][45007] Loss_D: -0.027257 Loss_G: 0.027316 Loss_D_real: -0.025963 Loss_D_fake 0.001294
[439/5000][35/535][45008] Loss_D: -0.026936 Loss_G: 0.023046 Loss_D_real: -0.033579 Loss_D_fake -0.006643
[439/5000][40/535][45009] Loss_D: -0.027840 Loss_G: 0.021220 Loss_D_real: -0.019484 Loss_D_fake 0.008356
[439/5000][45/535][45010] Loss_D: -0.027825 Loss_G: 0.009022 Loss_D_real: -0.009751 Loss_D_fake 0.018075
[439/5000][50/535][45011] Loss_D: -0.026777 Loss_G: 0.016385 Loss_D_real: -0.012469 Loss_D_fake 0.014308
[439/5000][55/535][45012] Loss_D: -0.025816 Loss_G: -0.006767 Loss_D_real: -0.001552 Loss_D_fake 0.024264
[439/5000][60/535][45013] Loss_D: -0.025967 Loss_G: 0.023235 Loss_D_real: -0.022317 Loss_D_fake 0.003650
[439/5000][65/535][45014] Loss_D: -0.027818 Loss_G: 0.013018 Loss_D_real: -0.019199 Loss_D_fake 0.008619
[439/5000][70/535][45015] Loss_D: -0.029448 Loss_G: 0.014243 Loss_D_real: -0.018124 Loss_D_fake 0.011324
[439/5000][75/535][45016] Loss_D: -0.027952 Loss_G: 0.041153 Loss_D_real: -0.032895 Loss_D_fake -0.004942
[439/5000][80/535][45017] Loss_D: -0.030034 Loss_G: 0.011584 Loss_D_real: -0.028675 Loss_D_fake 0.001359
[439/5000][85/535][45018] Loss_D: -0.027344 Loss_G: 0.010871 Loss_D_real: -0.030468 Loss_D_fake -0.003124
[439/5000][90/535][45019] Loss_D: -0.029772 Loss_G: 0.016550 Loss_D_real: -0.022413 Loss_D_fake 0.007359
[439/5000][95/535][45020] Loss_D: -0.030359 Loss_G: 0.018860 Loss_D_real: -0.013311 Loss_D_fake 0.017047
[439/5000][100/535][45021] Loss_D: -0.027951 Loss_G: 0.027445 Loss_D_real: -0.031514 Loss_D_fake -0.003563
[439/5000][105/535][45022] Loss_D: -0.027128 Loss_G: 0.020129 Loss_D_real: -0.021594 Loss_D_fake 0.005534
[439/5000][110/535][45023] Loss_D: -0.028677 Loss_G: -0.021255 Loss_D_real: -0.001158 Loss_D_fake 0.027518
[439/5000][115/535][45024] Loss_D: -0.026166 Loss_G: 0.011410 Loss_D_real: -0.010287 Loss_D_fake 0.015880
[439/5000][120/535][45025] Loss_D: -0.026554 Loss_G: 0.030117 Loss_D_real: -0.038643 Loss_D_fake -0.012089
[439/5000][125/535][45026] Loss_D: -0.028460 Loss_G: -0.016614 Loss_D_real: 0.001864 Loss_D_fake 0.030324
[439/5000][130/535][45027] Loss_D: -0.025703 Loss_G: 0.031361 Loss_D_real: -0.029826 Loss_D_fake -0.004123
[439/5000][135/535][45028] Loss_D: -0.026518 Loss_G: 0.012703 Loss_D_real: -0.019680 Loss_D_fake 0.006838
[439/5000][140/535][45029] Loss_D: -0.027145 Loss_G: 0.021544 Loss_D_real: -0.021865 Loss_D_fake 0.005280
[439/5000][145/535][45030] Loss_D: -0.027432 Loss_G: 0.028490 Loss_D_real: -0.027910 Loss_D_fake -0.000479
[439/5000][150/535][45031] Loss_D: -0.027660 Loss_G: 0.025378 Loss_D_real: -0.013504 Loss_D_fake 0.014156
[439/5000][155/535][45032] Loss_D: -0.028536 Loss_G: 0.015289 Loss_D_real: -0.025212 Loss_D_fake 0.003324
[439/5000][160/535][45033] Loss_D: -0.028817 Loss_G: 0.021219 Loss_D_real: -0.012361 Loss_D_fake 0.016455
[439/5000][165/535][45034] Loss_D: -0.028850 Loss_G: 0.021381 Loss_D_real: -0.027400 Loss_D_fake 0.001450
[439/5000][170/535][45035] Loss_D: -0.027620 Loss_G: 0.008002 Loss_D_real: -0.019439 Loss_D_fake 0.008181
[439/5000][175/535][45036] Loss_D: -0.026872 Loss_G: 0.031040 Loss_D_real: -0.031041 Loss_D_fake -0.004169
[439/5000][180/535][45037] Loss_D: -0.028301 Loss_G: 0.026037 Loss_D_real: -0.026049 Loss_D_fake 0.002252
[439/5000][185/535][45038] Loss_D: -0.028790 Loss_G: -0.010910 Loss_D_real: -0.003083 Loss_D_fake 0.025707
[439/5000][190/535][45039] Loss_D: -0.027375 Loss_G: 0.014957 Loss_D_real: -0.022633 Loss_D_fake 0.004742
[439/5000][195/535][45040] Loss_D: -0.028362 Loss_G: 0.007556 Loss_D_real: -0.008023 Loss_D_fake 0.020339
[439/5000][200/535][45041] Loss_D: -0.028575 Loss_G: 0.002126 Loss_D_real: -0.013119 Loss_D_fake 0.015455
[439/5000][205/535][45042] Loss_D: -0.027884 Loss_G: 0.005246 Loss_D_real: -0.011955 Loss_D_fake 0.015929
[439/5000][210/535][45043] Loss_D: -0.027917 Loss_G: 0.010356 Loss_D_real: -0.009583 Loss_D_fake 0.018334
[439/5000][215/535][45044] Loss_D: -0.029345 Loss_G: 0.002145 Loss_D_real: -0.010657 Loss_D_fake 0.018688
[439/5000][220/535][45045] Loss_D: -0.027896 Loss_G: -0.002279 Loss_D_real: -0.004927 Loss_D_fake 0.022969
[439/5000][225/535][45046] Loss_D: -0.028345 Loss_G: 0.031417 Loss_D_real: -0.035611 Loss_D_fake -0.007266
[439/5000][230/535][45047] Loss_D: -0.027328 Loss_G: 0.024132 Loss_D_real: -0.023849 Loss_D_fake 0.003479
[439/5000][235/535][45048] Loss_D: -0.028462 Loss_G: -0.003607 Loss_D_real: -0.004193 Loss_D_fake 0.024269
[439/5000][240/535][45049] Loss_D: -0.028252 Loss_G: 0.020776 Loss_D_real: -0.022865 Loss_D_fake 0.005387
[439/5000][245/535][45050] Loss_D: -0.027338 Loss_G: 0.030209 Loss_D_real: -0.030246 Loss_D_fake -0.002908
[439/5000][250/535][45051] Loss_D: -0.028678 Loss_G: 0.014391 Loss_D_real: -0.022131 Loss_D_fake 0.006547
[439/5000][255/535][45052] Loss_D: -0.028146 Loss_G: 0.018454 Loss_D_real: -0.019825 Loss_D_fake 0.008321
[439/5000][260/535][45053] Loss_D: -0.026909 Loss_G: 0.021083 Loss_D_real: -0.013234 Loss_D_fake 0.013675
[439/5000][265/535][45054] Loss_D: -0.026333 Loss_G: -0.006670 Loss_D_real: 0.007465 Loss_D_fake 0.033798
[439/5000][270/535][45055] Loss_D: -0.027697 Loss_G: 0.041407 Loss_D_real: -0.032169 Loss_D_fake -0.004472
[439/5000][275/535][45056] Loss_D: -0.029421 Loss_G: 0.019917 Loss_D_real: -0.025015 Loss_D_fake 0.004406
[439/5000][280/535][45057] Loss_D: -0.029444 Loss_G: 0.023595 Loss_D_real: -0.021486 Loss_D_fake 0.007957
[439/5000][285/535][45058] Loss_D: -0.025953 Loss_G: -0.013978 Loss_D_real: 0.010219 Loss_D_fake 0.036172
[439/5000][290/535][45059] Loss_D: -0.026678 Loss_G: 0.006265 Loss_D_real: -0.015848 Loss_D_fake 0.010830
[439/5000][295/535][45060] Loss_D: -0.028309 Loss_G: 0.023520 Loss_D_real: -0.030169 Loss_D_fake -0.001860
[439/5000][300/535][45061] Loss_D: -0.028072 Loss_G: 0.028639 Loss_D_real: -0.025826 Loss_D_fake 0.002246
[439/5000][305/535][45062] Loss_D: -0.027945 Loss_G: 0.017448 Loss_D_real: -0.024643 Loss_D_fake 0.003301
[439/5000][310/535][45063] Loss_D: -0.027868 Loss_G: 0.026722 Loss_D_real: -0.031714 Loss_D_fake -0.003846
[439/5000][315/535][45064] Loss_D: -0.027114 Loss_G: 0.013369 Loss_D_real: -0.015579 Loss_D_fake 0.011535
[439/5000][320/535][45065] Loss_D: -0.026204 Loss_G: 0.027734 Loss_D_real: -0.027184 Loss_D_fake -0.000980
[439/5000][325/535][45066] Loss_D: -0.028633 Loss_G: 0.012749 Loss_D_real: -0.017366 Loss_D_fake 0.011267
[439/5000][330/535][45067] Loss_D: -0.028125 Loss_G: 0.011727 Loss_D_real: -0.007740 Loss_D_fake 0.020384
[439/5000][335/535][45068] Loss_D: -0.028137 Loss_G: 0.012622 Loss_D_real: -0.017358 Loss_D_fake 0.010779
[439/5000][340/535][45069] Loss_D: -0.027993 Loss_G: 0.010648 Loss_D_real: -0.027169 Loss_D_fake 0.000823
[439/5000][345/535][45070] Loss_D: -0.025289 Loss_G: 0.036509 Loss_D_real: -0.030237 Loss_D_fake -0.004948
[439/5000][350/535][45071] Loss_D: -0.029110 Loss_G: 0.013516 Loss_D_real: -0.021224 Loss_D_fake 0.007887
[439/5000][355/535][45072] Loss_D: -0.029947 Loss_G: 0.014977 Loss_D_real: -0.020695 Loss_D_fake 0.009252
[439/5000][360/535][45073] Loss_D: -0.027034 Loss_G: 0.012415 Loss_D_real: -0.020465 Loss_D_fake 0.006568
[439/5000][365/535][45074] Loss_D: -0.027367 Loss_G: 0.029098 Loss_D_real: -0.029338 Loss_D_fake -0.001971
[439/5000][370/535][45075] Loss_D: -0.028745 Loss_G: 0.023684 Loss_D_real: -0.025607 Loss_D_fake 0.003138
[439/5000][375/535][45076] Loss_D: -0.028006 Loss_G: 0.029174 Loss_D_real: -0.036294 Loss_D_fake -0.008288
[439/5000][380/535][45077] Loss_D: -0.028264 Loss_G: 0.021901 Loss_D_real: -0.013180 Loss_D_fake 0.015084
[439/5000][385/535][45078] Loss_D: -0.028175 Loss_G: 0.009799 Loss_D_real: -0.020118 Loss_D_fake 0.008057
[439/5000][390/535][45079] Loss_D: -0.027863 Loss_G: 0.036149 Loss_D_real: -0.028071 Loss_D_fake -0.000208
[439/5000][395/535][45080] Loss_D: -0.027714 Loss_G: 0.018633 Loss_D_real: -0.005739 Loss_D_fake 0.021975
[439/5000][400/535][45081] Loss_D: -0.026939 Loss_G: 0.023987 Loss_D_real: -0.019179 Loss_D_fake 0.007760
[439/5000][405/535][45082] Loss_D: -0.027810 Loss_G: 0.011893 Loss_D_real: -0.017980 Loss_D_fake 0.009830
[439/5000][410/535][45083] Loss_D: -0.027845 Loss_G: 0.021979 Loss_D_real: -0.006154 Loss_D_fake 0.021690
[439/5000][415/535][45084] Loss_D: -0.029388 Loss_G: 0.005919 Loss_D_real: -0.015047 Loss_D_fake 0.014342
[439/5000][420/535][45085] Loss_D: -0.028565 Loss_G: 0.019107 Loss_D_real: -0.020757 Loss_D_fake 0.007809
[439/5000][425/535][45086] Loss_D: -0.027882 Loss_G: 0.031942 Loss_D_real: -0.031700 Loss_D_fake -0.003818
[439/5000][430/535][45087] Loss_D: -0.026049 Loss_G: 0.042302 Loss_D_real: -0.039610 Loss_D_fake -0.013561
[439/5000][435/535][45088] Loss_D: -0.028575 Loss_G: -0.003566 Loss_D_real: -0.007957 Loss_D_fake 0.020618
[439/5000][440/535][45089] Loss_D: -0.026665 Loss_G: 0.034683 Loss_D_real: -0.032725 Loss_D_fake -0.006060
[439/5000][445/535][45090] Loss_D: -0.027088 Loss_G: -0.004776 Loss_D_real: -0.013450 Loss_D_fake 0.013638
[439/5000][450/535][45091] Loss_D: -0.028176 Loss_G: 0.007707 Loss_D_real: -0.020073 Loss_D_fake 0.008103
[439/5000][455/535][45092] Loss_D: -0.028144 Loss_G: 0.000984 Loss_D_real: -0.006420 Loss_D_fake 0.021724
[439/5000][460/535][45093] Loss_D: -0.027150 Loss_G: 0.025245 Loss_D_real: -0.019242 Loss_D_fake 0.007908
[439/5000][465/535][45094] Loss_D: -0.027959 Loss_G: -0.003982 Loss_D_real: -0.009268 Loss_D_fake 0.018691
[439/5000][470/535][45095] Loss_D: -0.026991 Loss_G: 0.019727 Loss_D_real: -0.025014 Loss_D_fake 0.001977
[439/5000][475/535][45096] Loss_D: -0.028300 Loss_G: 0.025082 Loss_D_real: -0.019584 Loss_D_fake 0.008716
[439/5000][480/535][45097] Loss_D: -0.028132 Loss_G: -0.002941 Loss_D_real: 0.000889 Loss_D_fake 0.029021
[439/5000][485/535][45098] Loss_D: -0.027402 Loss_G: 0.037903 Loss_D_real: -0.036704 Loss_D_fake -0.009302
[439/5000][490/535][45099] Loss_D: -0.029068 Loss_G: 0.018776 Loss_D_real: -0.027137 Loss_D_fake 0.001931
[439/5000][495/535][45100] Loss_D: -0.028568 Loss_G: 0.009029 Loss_D_real: -0.008359 Loss_D_fake 0.020208
[439/5000][500/535][45101] Loss_D: -0.027697 Loss_G: 0.009136 Loss_D_real: -0.017272 Loss_D_fake 0.010425
[439/5000][505/535][45102] Loss_D: -0.028074 Loss_G: 0.023406 Loss_D_real: -0.034836 Loss_D_fake -0.006762
[439/5000][510/535][45103] Loss_D: -0.028443 Loss_G: 0.031872 Loss_D_real: -0.022110 Loss_D_fake 0.006333
[439/5000][515/535][45104] Loss_D: -0.026878 Loss_G: -0.013921 Loss_D_real: -0.001896 Loss_D_fake 0.024982
[439/5000][520/535][45105] Loss_D: -0.028102 Loss_G: 0.012452 Loss_D_real: -0.023685 Loss_D_fake 0.004417
[439/5000][525/535][45106] Loss_D: -0.027206 Loss_G: 0.015243 Loss_D_real: -0.023040 Loss_D_fake 0.004165
[439/5000][530/535][45107] Loss_D: -0.027711 Loss_G: 0.022859 Loss_D_real: -0.028178 Loss_D_fake -0.000467
[439/5000][535/535][45108] Loss_D: -0.027077 Loss_G: 0.027673 Loss_D_real: -0.013596 Loss_D_fake 0.013481
[440/5000][5/535][45109] Loss_D: -0.028059 Loss_G: 0.021358 Loss_D_real: -0.017322 Loss_D_fake 0.010737
[440/5000][10/535][45110] Loss_D: -0.027223 Loss_G: 0.006518 Loss_D_real: -0.014020 Loss_D_fake 0.013203
[440/5000][15/535][45111] Loss_D: -0.026520 Loss_G: -0.008438 Loss_D_real: -0.001174 Loss_D_fake 0.025346
[440/5000][20/535][45112] Loss_D: -0.027154 Loss_G: 0.021232 Loss_D_real: -0.020737 Loss_D_fake 0.006417
[440/5000][25/535][45113] Loss_D: -0.026982 Loss_G: 0.005816 Loss_D_real: -0.015437 Loss_D_fake 0.011545
[440/5000][30/535][45114] Loss_D: -0.026828 Loss_G: 0.017407 Loss_D_real: -0.024140 Loss_D_fake 0.002689
[440/5000][35/535][45115] Loss_D: -0.027120 Loss_G: 0.008949 Loss_D_real: -0.013271 Loss_D_fake 0.013849
[440/5000][40/535][45116] Loss_D: -0.027579 Loss_G: 0.021982 Loss_D_real: -0.025481 Loss_D_fake 0.002098
[440/5000][45/535][45117] Loss_D: -0.027894 Loss_G: 0.016895 Loss_D_real: -0.010075 Loss_D_fake 0.017819
[440/5000][50/535][45118] Loss_D: -0.027162 Loss_G: 0.017356 Loss_D_real: -0.031134 Loss_D_fake -0.003971
[440/5000][55/535][45119] Loss_D: -0.028479 Loss_G: 0.032896 Loss_D_real: -0.030923 Loss_D_fake -0.002444
[440/5000][60/535][45120] Loss_D: -0.029319 Loss_G: 0.009761 Loss_D_real: -0.015143 Loss_D_fake 0.014176
[440/5000][65/535][45121] Loss_D: -0.029620 Loss_G: 0.002641 Loss_D_real: -0.009533 Loss_D_fake 0.020087
[440/5000][70/535][45122] Loss_D: -0.029108 Loss_G: -0.001349 Loss_D_real: -0.011425 Loss_D_fake 0.017683
[440/5000][75/535][45123] Loss_D: -0.026918 Loss_G: 0.027193 Loss_D_real: -0.030672 Loss_D_fake -0.003753
[440/5000][80/535][45124] Loss_D: -0.028351 Loss_G: 0.011637 Loss_D_real: -0.018087 Loss_D_fake 0.010264
[440/5000][85/535][45125] Loss_D: -0.028862 Loss_G: 0.000126 Loss_D_real: -0.015094 Loss_D_fake 0.013768
[440/5000][90/535][45126] Loss_D: -0.027438 Loss_G: 0.003911 Loss_D_real: -0.012000 Loss_D_fake 0.015438
[440/5000][95/535][45127] Loss_D: -0.026715 Loss_G: 0.010852 Loss_D_real: -0.013004 Loss_D_fake 0.013711
[440/5000][100/535][45128] Loss_D: -0.028600 Loss_G: -0.002042 Loss_D_real: -0.008257 Loss_D_fake 0.020343
[440/5000][105/535][45129] Loss_D: -0.027563 Loss_G: 0.023167 Loss_D_real: -0.016093 Loss_D_fake 0.011470
[440/5000][110/535][45130] Loss_D: -0.028112 Loss_G: 0.033386 Loss_D_real: -0.026175 Loss_D_fake 0.001937
[440/5000][115/535][45131] Loss_D: -0.028525 Loss_G: -0.015147 Loss_D_real: -0.007680 Loss_D_fake 0.020845
[440/5000][120/535][45132] Loss_D: -0.029039 Loss_G: -0.002050 Loss_D_real: 0.000165 Loss_D_fake 0.029204
[440/5000][125/535][45133] Loss_D: -0.027872 Loss_G: 0.021573 Loss_D_real: -0.025079 Loss_D_fake 0.002792
[440/5000][130/535][45134] Loss_D: -0.028260 Loss_G: 0.020365 Loss_D_real: -0.016673 Loss_D_fake 0.011587
[440/5000][135/535][45135] Loss_D: -0.028837 Loss_G: 0.026273 Loss_D_real: -0.025522 Loss_D_fake 0.003314
[440/5000][140/535][45136] Loss_D: -0.028202 Loss_G: 0.018919 Loss_D_real: -0.022809 Loss_D_fake 0.005394
[440/5000][145/535][45137] Loss_D: -0.030570 Loss_G: 0.006268 Loss_D_real: -0.017394 Loss_D_fake 0.013177
[440/5000][150/535][45138] Loss_D: -0.026199 Loss_G: 0.034273 Loss_D_real: -0.028935 Loss_D_fake -0.002736
[440/5000][155/535][45139] Loss_D: -0.027688 Loss_G: 0.019491 Loss_D_real: -0.032279 Loss_D_fake -0.004591
[440/5000][160/535][45140] Loss_D: -0.027074 Loss_G: 0.033297 Loss_D_real: -0.028141 Loss_D_fake -0.001067
[440/5000][165/535][45141] Loss_D: -0.028128 Loss_G: 0.034970 Loss_D_real: -0.035110 Loss_D_fake -0.006981
[440/5000][170/535][45142] Loss_D: -0.027155 Loss_G: 0.026495 Loss_D_real: -0.030317 Loss_D_fake -0.003162
[440/5000][175/535][45143] Loss_D: -0.027792 Loss_G: 0.029879 Loss_D_real: -0.031511 Loss_D_fake -0.003718
[440/5000][180/535][45144] Loss_D: -0.027865 Loss_G: -0.006271 Loss_D_real: -0.001695 Loss_D_fake 0.026170
[440/5000][185/535][45145] Loss_D: -0.026229 Loss_G: 0.024328 Loss_D_real: -0.029771 Loss_D_fake -0.003542
[440/5000][190/535][45146] Loss_D: -0.028516 Loss_G: 0.009255 Loss_D_real: -0.010311 Loss_D_fake 0.018205
[440/5000][195/535][45147] Loss_D: -0.026940 Loss_G: 0.022300 Loss_D_real: -0.014090 Loss_D_fake 0.012850
[440/5000][200/535][45148] Loss_D: -0.026484 Loss_G: 0.009977 Loss_D_real: -0.035901 Loss_D_fake -0.009417
[440/5000][205/535][45149] Loss_D: -0.027250 Loss_G: 0.008103 Loss_D_real: -0.014362 Loss_D_fake 0.012889
[440/5000][210/535][45150] Loss_D: -0.027338 Loss_G: -0.001270 Loss_D_real: -0.001032 Loss_D_fake 0.026306
[440/5000][215/535][45151] Loss_D: -0.028255 Loss_G: 0.013555 Loss_D_real: -0.011340 Loss_D_fake 0.016915
[440/5000][220/535][45152] Loss_D: -0.026355 Loss_G: 0.025455 Loss_D_real: -0.031491 Loss_D_fake -0.005136
[440/5000][225/535][45153] Loss_D: -0.027741 Loss_G: -0.004096 Loss_D_real: -0.010122 Loss_D_fake 0.017618
[440/5000][230/535][45154] Loss_D: -0.027772 Loss_G: -0.007886 Loss_D_real: -0.006918 Loss_D_fake 0.020854
[440/5000][235/535][45155] Loss_D: -0.028685 Loss_G: 0.023579 Loss_D_real: -0.024722 Loss_D_fake 0.003962
[440/5000][240/535][45156] Loss_D: -0.027267 Loss_G: 0.007888 Loss_D_real: -0.008288 Loss_D_fake 0.018979
[440/5000][245/535][45157] Loss_D: -0.027779 Loss_G: 0.005710 Loss_D_real: -0.011254 Loss_D_fake 0.016526
[440/5000][250/535][45158] Loss_D: -0.029552 Loss_G: 0.005854 Loss_D_real: -0.010667 Loss_D_fake 0.018885
[440/5000][255/535][45159] Loss_D: -0.027293 Loss_G: 0.007299 Loss_D_real: -0.018658 Loss_D_fake 0.008635
[440/5000][260/535][45160] Loss_D: -0.027543 Loss_G: -0.005043 Loss_D_real: -0.009444 Loss_D_fake 0.018099
[440/5000][265/535][45161] Loss_D: -0.027264 Loss_G: 0.004602 Loss_D_real: -0.004858 Loss_D_fake 0.022406
[440/5000][270/535][45162] Loss_D: -0.027689 Loss_G: 0.006030 Loss_D_real: -0.008013 Loss_D_fake 0.019676
[440/5000][275/535][45163] Loss_D: -0.027300 Loss_G: -0.000754 Loss_D_real: -0.008260 Loss_D_fake 0.019039
[440/5000][280/535][45164] Loss_D: -0.027069 Loss_G: 0.018592 Loss_D_real: -0.019422 Loss_D_fake 0.007646
[440/5000][285/535][45165] Loss_D: -0.026645 Loss_G: 0.023925 Loss_D_real: -0.032039 Loss_D_fake -0.005394
[440/5000][290/535][45166] Loss_D: -0.027978 Loss_G: 0.025429 Loss_D_real: -0.027795 Loss_D_fake 0.000183
[440/5000][295/535][45167] Loss_D: -0.027046 Loss_G: 0.007628 Loss_D_real: -0.012511 Loss_D_fake 0.014534
[440/5000][300/535][45168] Loss_D: -0.028825 Loss_G: 0.010050 Loss_D_real: -0.014551 Loss_D_fake 0.014274
[440/5000][305/535][45169] Loss_D: -0.028442 Loss_G: 0.027213 Loss_D_real: -0.031689 Loss_D_fake -0.003247
[440/5000][310/535][45170] Loss_D: -0.028916 Loss_G: -0.006714 Loss_D_real: 0.002531 Loss_D_fake 0.031447
[440/5000][315/535][45171] Loss_D: -0.027774 Loss_G: 0.012751 Loss_D_real: -0.013998 Loss_D_fake 0.013776
[440/5000][320/535][45172] Loss_D: -0.028588 Loss_G: 0.028341 Loss_D_real: -0.030453 Loss_D_fake -0.001865
[440/5000][325/535][45173] Loss_D: -0.027161 Loss_G: 0.002980 Loss_D_real: -0.009966 Loss_D_fake 0.017195
[440/5000][330/535][45174] Loss_D: -0.028032 Loss_G: -0.001318 Loss_D_real: -0.014157 Loss_D_fake 0.013875
[440/5000][335/535][45175] Loss_D: -0.027086 Loss_G: -0.009129 Loss_D_real: 0.002207 Loss_D_fake 0.029292
[440/5000][340/535][45176] Loss_D: -0.028241 Loss_G: 0.015829 Loss_D_real: -0.017574 Loss_D_fake 0.010667
[440/5000][345/535][45177] Loss_D: -0.027044 Loss_G: 0.033747 Loss_D_real: -0.027837 Loss_D_fake -0.000793
[440/5000][350/535][45178] Loss_D: -0.025583 Loss_G: -0.017199 Loss_D_real: -0.002659 Loss_D_fake 0.022923
[440/5000][355/535][45179] Loss_D: -0.025605 Loss_G: 0.019402 Loss_D_real: -0.021962 Loss_D_fake 0.003643
[440/5000][360/535][45180] Loss_D: -0.026883 Loss_G: 0.011200 Loss_D_real: -0.016999 Loss_D_fake 0.009884
[440/5000][365/535][45181] Loss_D: -0.028779 Loss_G: 0.030740 Loss_D_real: -0.020295 Loss_D_fake 0.008484
[440/5000][370/535][45182] Loss_D: -0.028765 Loss_G: 0.011986 Loss_D_real: -0.012944 Loss_D_fake 0.015821
[440/5000][375/535][45183] Loss_D: -0.028086 Loss_G: -0.000075 Loss_D_real: -0.005066 Loss_D_fake 0.023020
[440/5000][380/535][45184] Loss_D: -0.029039 Loss_G: 0.011694 Loss_D_real: -0.014855 Loss_D_fake 0.014183
[440/5000][385/535][45185] Loss_D: -0.027803 Loss_G: 0.001597 Loss_D_real: -0.009901 Loss_D_fake 0.017902
[440/5000][390/535][45186] Loss_D: -0.024866 Loss_G: 0.044551 Loss_D_real: -0.044961 Loss_D_fake -0.020095
[440/5000][395/535][45187] Loss_D: -0.028593 Loss_G: 0.000963 Loss_D_real: -0.010736 Loss_D_fake 0.017857
[440/5000][400/535][45188] Loss_D: -0.026072 Loss_G: -0.010459 Loss_D_real: 0.004482 Loss_D_fake 0.030554
[440/5000][405/535][45189] Loss_D: -0.024776 Loss_G: 0.024545 Loss_D_real: -0.033737 Loss_D_fake -0.008960
[440/5000][410/535][45190] Loss_D: -0.028496 Loss_G: 0.030247 Loss_D_real: -0.030586 Loss_D_fake -0.002091
[440/5000][415/535][45191] Loss_D: -0.028113 Loss_G: -0.012050 Loss_D_real: -0.005533 Loss_D_fake 0.022579
[440/5000][420/535][45192] Loss_D: -0.029314 Loss_G: 0.032459 Loss_D_real: -0.020794 Loss_D_fake 0.008521
[440/5000][425/535][45193] Loss_D: -0.027631 Loss_G: 0.012533 Loss_D_real: -0.016536 Loss_D_fake 0.011095
[440/5000][430/535][45194] Loss_D: -0.028483 Loss_G: 0.028297 Loss_D_real: -0.026881 Loss_D_fake 0.001602
[440/5000][435/535][45195] Loss_D: -0.027494 Loss_G: 0.014602 Loss_D_real: -0.017706 Loss_D_fake 0.009788
[440/5000][440/535][45196] Loss_D: -0.028688 Loss_G: 0.020375 Loss_D_real: -0.015970 Loss_D_fake 0.012718
[440/5000][445/535][45197] Loss_D: -0.028137 Loss_G: 0.015929 Loss_D_real: -0.021498 Loss_D_fake 0.006639
[440/5000][450/535][45198] Loss_D: -0.028204 Loss_G: 0.008879 Loss_D_real: -0.013124 Loss_D_fake 0.015080
[440/5000][455/535][45199] Loss_D: -0.027144 Loss_G: -0.007481 Loss_D_real: -0.001227 Loss_D_fake 0.025917
[440/5000][460/535][45200] Loss_D: -0.028039 Loss_G: 0.016522 Loss_D_real: -0.017788 Loss_D_fake 0.010251
[440/5000][465/535][45201] Loss_D: -0.027196 Loss_G: 0.005509 Loss_D_real: -0.003581 Loss_D_fake 0.023615
[440/5000][470/535][45202] Loss_D: -0.026958 Loss_G: 0.011914 Loss_D_real: -0.014900 Loss_D_fake 0.012059
[440/5000][475/535][45203] Loss_D: -0.027464 Loss_G: 0.006036 Loss_D_real: -0.007353 Loss_D_fake 0.020111
[440/5000][480/535][45204] Loss_D: -0.026447 Loss_G: 0.037618 Loss_D_real: -0.029764 Loss_D_fake -0.003317
[440/5000][485/535][45205] Loss_D: -0.028277 Loss_G: 0.031863 Loss_D_real: -0.025815 Loss_D_fake 0.002462
[440/5000][490/535][45206] Loss_D: -0.028063 Loss_G: 0.035033 Loss_D_real: -0.029808 Loss_D_fake -0.001745
[440/5000][495/535][45207] Loss_D: -0.028962 Loss_G: 0.001995 Loss_D_real: -0.017822 Loss_D_fake 0.011140
[440/5000][500/535][45208] Loss_D: -0.028644 Loss_G: 0.027689 Loss_D_real: -0.023506 Loss_D_fake 0.005138
[440/5000][505/535][45209] Loss_D: -0.028879 Loss_G: 0.006709 Loss_D_real: -0.015968 Loss_D_fake 0.012911
[440/5000][510/535][45210] Loss_D: -0.025798 Loss_G: 0.032678 Loss_D_real: -0.043397 Loss_D_fake -0.017599
[440/5000][515/535][45211] Loss_D: -0.028797 Loss_G: 0.006392 Loss_D_real: -0.015063 Loss_D_fake 0.013734
[440/5000][520/535][45212] Loss_D: -0.028126 Loss_G: 0.026062 Loss_D_real: -0.023311 Loss_D_fake 0.004815
[440/5000][525/535][45213] Loss_D: -0.028419 Loss_G: 0.025951 Loss_D_real: -0.028837 Loss_D_fake -0.000418
[440/5000][530/535][45214] Loss_D: -0.028865 Loss_G: 0.027817 Loss_D_real: -0.017574 Loss_D_fake 0.011291
[440/5000][535/535][45215] Loss_D: -0.028354 Loss_G: 0.020560 Loss_D_real: -0.024928 Loss_D_fake 0.003427
[441/5000][5/535][45216] Loss_D: -0.028527 Loss_G: 0.029037 Loss_D_real: -0.028394 Loss_D_fake 0.000133
[441/5000][10/535][45217] Loss_D: -0.028037 Loss_G: 0.010354 Loss_D_real: -0.012237 Loss_D_fake 0.015800
[441/5000][15/535][45218] Loss_D: -0.027689 Loss_G: 0.021185 Loss_D_real: -0.018432 Loss_D_fake 0.009258
[441/5000][20/535][45219] Loss_D: -0.027213 Loss_G: 0.020173 Loss_D_real: -0.022548 Loss_D_fake 0.004665
[441/5000][25/535][45220] Loss_D: -0.027294 Loss_G: 0.021111 Loss_D_real: -0.014373 Loss_D_fake 0.012921
[441/5000][30/535][45221] Loss_D: -0.028526 Loss_G: 0.019155 Loss_D_real: -0.029744 Loss_D_fake -0.001218
[441/5000][35/535][45222] Loss_D: -0.027630 Loss_G: 0.023595 Loss_D_real: -0.037212 Loss_D_fake -0.009582
[441/5000][40/535][45223] Loss_D: -0.028819 Loss_G: 0.008474 Loss_D_real: -0.015322 Loss_D_fake 0.013497
[441/5000][45/535][45224] Loss_D: -0.028285 Loss_G: 0.001584 Loss_D_real: -0.009109 Loss_D_fake 0.019176
[441/5000][50/535][45225] Loss_D: -0.027188 Loss_G: 0.035021 Loss_D_real: -0.039523 Loss_D_fake -0.012335
[441/5000][55/535][45226] Loss_D: -0.029963 Loss_G: 0.012136 Loss_D_real: -0.014583 Loss_D_fake 0.015380
[441/5000][60/535][45227] Loss_D: -0.028765 Loss_G: 0.018736 Loss_D_real: -0.014264 Loss_D_fake 0.014501
[441/5000][65/535][45228] Loss_D: -0.028497 Loss_G: -0.004089 Loss_D_real: -0.006554 Loss_D_fake 0.021943
[441/5000][70/535][45229] Loss_D: -0.029050 Loss_G: 0.012761 Loss_D_real: -0.019393 Loss_D_fake 0.009657
[441/5000][75/535][45230] Loss_D: -0.027208 Loss_G: 0.001483 Loss_D_real: -0.007963 Loss_D_fake 0.019245
[441/5000][80/535][45231] Loss_D: -0.028527 Loss_G: 0.024631 Loss_D_real: -0.028726 Loss_D_fake -0.000199
[441/5000][85/535][45232] Loss_D: -0.028422 Loss_G: -0.002876 Loss_D_real: -0.005078 Loss_D_fake 0.023343
[441/5000][90/535][45233] Loss_D: -0.027663 Loss_G: 0.017005 Loss_D_real: -0.022391 Loss_D_fake 0.005272
[441/5000][95/535][45234] Loss_D: -0.028161 Loss_G: 0.029618 Loss_D_real: -0.027401 Loss_D_fake 0.000759
[441/5000][100/535][45235] Loss_D: -0.028951 Loss_G: 0.022447 Loss_D_real: -0.013627 Loss_D_fake 0.015324
[441/5000][105/535][45236] Loss_D: -0.029233 Loss_G: 0.028425 Loss_D_real: -0.035403 Loss_D_fake -0.006170
[441/5000][110/535][45237] Loss_D: -0.027799 Loss_G: -0.007173 Loss_D_real: -0.002132 Loss_D_fake 0.025667
[441/5000][115/535][45238] Loss_D: -0.026495 Loss_G: 0.014029 Loss_D_real: -0.013245 Loss_D_fake 0.013250
[441/5000][120/535][45239] Loss_D: -0.026468 Loss_G: 0.022262 Loss_D_real: -0.023793 Loss_D_fake 0.002675
[441/5000][125/535][45240] Loss_D: -0.028235 Loss_G: 0.016676 Loss_D_real: -0.009575 Loss_D_fake 0.018660
[441/5000][130/535][45241] Loss_D: -0.027326 Loss_G: -0.024250 Loss_D_real: -0.003471 Loss_D_fake 0.023855
[441/5000][135/535][45242] Loss_D: -0.028041 Loss_G: 0.013051 Loss_D_real: -0.008372 Loss_D_fake 0.019669
[441/5000][140/535][45243] Loss_D: -0.024913 Loss_G: 0.023404 Loss_D_real: -0.029138 Loss_D_fake -0.004225
[441/5000][145/535][45244] Loss_D: -0.027459 Loss_G: 0.016811 Loss_D_real: -0.014457 Loss_D_fake 0.013002
[441/5000][150/535][45245] Loss_D: -0.027013 Loss_G: 0.044281 Loss_D_real: -0.040541 Loss_D_fake -0.013528
[441/5000][155/535][45246] Loss_D: -0.028588 Loss_G: 0.004752 Loss_D_real: -0.017063 Loss_D_fake 0.011525
[441/5000][160/535][45247] Loss_D: -0.027470 Loss_G: 0.018961 Loss_D_real: -0.027864 Loss_D_fake -0.000394
[441/5000][165/535][45248] Loss_D: -0.028509 Loss_G: 0.026466 Loss_D_real: -0.031378 Loss_D_fake -0.002869
[441/5000][170/535][45249] Loss_D: -0.028249 Loss_G: -0.000262 Loss_D_real: 0.003083 Loss_D_fake 0.031332
[441/5000][175/535][45250] Loss_D: -0.028499 Loss_G: 0.014227 Loss_D_real: -0.021670 Loss_D_fake 0.006829
[441/5000][180/535][45251] Loss_D: -0.028877 Loss_G: 0.009313 Loss_D_real: -0.013596 Loss_D_fake 0.015281
[441/5000][185/535][45252] Loss_D: -0.028108 Loss_G: 0.021402 Loss_D_real: -0.023760 Loss_D_fake 0.004348
[441/5000][190/535][45253] Loss_D: -0.028749 Loss_G: 0.033657 Loss_D_real: -0.031978 Loss_D_fake -0.003228
[441/5000][195/535][45254] Loss_D: -0.027804 Loss_G: -0.007724 Loss_D_real: -0.000052 Loss_D_fake 0.027753
[441/5000][200/535][45255] Loss_D: -0.027028 Loss_G: 0.022658 Loss_D_real: -0.025618 Loss_D_fake 0.001410
[441/5000][205/535][45256] Loss_D: -0.026933 Loss_G: -0.002082 Loss_D_real: 0.003852 Loss_D_fake 0.030785
[441/5000][210/535][45257] Loss_D: -0.025773 Loss_G: 0.018433 Loss_D_real: -0.027915 Loss_D_fake -0.002142
[441/5000][215/535][45258] Loss_D: -0.025936 Loss_G: 0.003315 Loss_D_real: -0.010667 Loss_D_fake 0.015269
[441/5000][220/535][45259] Loss_D: -0.026655 Loss_G: 0.012285 Loss_D_real: -0.024590 Loss_D_fake 0.002065
[441/5000][225/535][45260] Loss_D: -0.029006 Loss_G: 0.010446 Loss_D_real: -0.014818 Loss_D_fake 0.014188
[441/5000][230/535][45261] Loss_D: -0.028218 Loss_G: -0.005872 Loss_D_real: 0.007370 Loss_D_fake 0.035588
[441/5000][235/535][45262] Loss_D: -0.026686 Loss_G: 0.004563 Loss_D_real: -0.005038 Loss_D_fake 0.021648
[441/5000][240/535][45263] Loss_D: -0.027151 Loss_G: 0.019654 Loss_D_real: -0.018346 Loss_D_fake 0.008806
[441/5000][245/535][45264] Loss_D: -0.026925 Loss_G: 0.029930 Loss_D_real: -0.024482 Loss_D_fake 0.002442
[441/5000][250/535][45265] Loss_D: -0.027597 Loss_G: 0.012023 Loss_D_real: -0.007987 Loss_D_fake 0.019610
[441/5000][255/535][45266] Loss_D: -0.028478 Loss_G: 0.027622 Loss_D_real: -0.023222 Loss_D_fake 0.005256
[441/5000][260/535][45267] Loss_D: -0.029159 Loss_G: 0.022011 Loss_D_real: -0.019435 Loss_D_fake 0.009723
[441/5000][265/535][45268] Loss_D: -0.029061 Loss_G: -0.002753 Loss_D_real: -0.013832 Loss_D_fake 0.015230
[441/5000][270/535][45269] Loss_D: -0.029192 Loss_G: 0.019479 Loss_D_real: -0.024226 Loss_D_fake 0.004966
[441/5000][275/535][45270] Loss_D: -0.029663 Loss_G: 0.027162 Loss_D_real: -0.025241 Loss_D_fake 0.004423
[441/5000][280/535][45271] Loss_D: -0.029186 Loss_G: 0.014028 Loss_D_real: -0.016331 Loss_D_fake 0.012855
[441/5000][285/535][45272] Loss_D: -0.029338 Loss_G: -0.001100 Loss_D_real: -0.007181 Loss_D_fake 0.022157
[441/5000][290/535][45273] Loss_D: -0.028227 Loss_G: -0.001956 Loss_D_real: -0.004483 Loss_D_fake 0.023744
[441/5000][295/535][45274] Loss_D: -0.028248 Loss_G: 0.023535 Loss_D_real: -0.022742 Loss_D_fake 0.005505
[441/5000][300/535][45275] Loss_D: -0.028288 Loss_G: -0.008640 Loss_D_real: -0.003500 Loss_D_fake 0.024789
[441/5000][305/535][45276] Loss_D: -0.028191 Loss_G: 0.014493 Loss_D_real: -0.020965 Loss_D_fake 0.007226
[441/5000][310/535][45277] Loss_D: -0.028885 Loss_G: 0.011484 Loss_D_real: -0.023518 Loss_D_fake 0.005368
[441/5000][315/535][45278] Loss_D: -0.027319 Loss_G: 0.032084 Loss_D_real: -0.035353 Loss_D_fake -0.008034
[441/5000][320/535][45279] Loss_D: -0.026065 Loss_G: -0.000783 Loss_D_real: -0.002590 Loss_D_fake 0.023475
[441/5000][325/535][45280] Loss_D: -0.027753 Loss_G: 0.020901 Loss_D_real: -0.021713 Loss_D_fake 0.006040
[441/5000][330/535][45281] Loss_D: -0.028564 Loss_G: 0.006263 Loss_D_real: -0.009462 Loss_D_fake 0.019102
[441/5000][335/535][45282] Loss_D: -0.026728 Loss_G: 0.029674 Loss_D_real: -0.032963 Loss_D_fake -0.006235
[441/5000][340/535][45283] Loss_D: -0.029034 Loss_G: 0.011565 Loss_D_real: -0.022483 Loss_D_fake 0.006552
[441/5000][345/535][45284] Loss_D: -0.028010 Loss_G: 0.025552 Loss_D_real: -0.021198 Loss_D_fake 0.006811
[441/5000][350/535][45285] Loss_D: -0.028281 Loss_G: 0.007332 Loss_D_real: -0.016195 Loss_D_fake 0.012086
[441/5000][355/535][45286] Loss_D: -0.027447 Loss_G: 0.035276 Loss_D_real: -0.031175 Loss_D_fake -0.003728
[441/5000][360/535][45287] Loss_D: -0.027541 Loss_G: -0.013913 Loss_D_real: -0.002577 Loss_D_fake 0.024963
[441/5000][365/535][45288] Loss_D: -0.027198 Loss_G: 0.013292 Loss_D_real: -0.021759 Loss_D_fake 0.005440
[441/5000][370/535][45289] Loss_D: -0.028024 Loss_G: 0.023593 Loss_D_real: -0.026606 Loss_D_fake 0.001418
[441/5000][375/535][45290] Loss_D: -0.027339 Loss_G: 0.016342 Loss_D_real: -0.016309 Loss_D_fake 0.011029
[441/5000][380/535][45291] Loss_D: -0.026924 Loss_G: -0.012394 Loss_D_real: 0.000181 Loss_D_fake 0.027105
[441/5000][385/535][45292] Loss_D: -0.026492 Loss_G: -0.006499 Loss_D_real: -0.006480 Loss_D_fake 0.020011
[441/5000][390/535][45293] Loss_D: -0.026756 Loss_G: 0.016061 Loss_D_real: -0.021573 Loss_D_fake 0.005182
[441/5000][395/535][45294] Loss_D: -0.027130 Loss_G: 0.024291 Loss_D_real: -0.023579 Loss_D_fake 0.003552
[441/5000][400/535][45295] Loss_D: -0.027323 Loss_G: 0.014778 Loss_D_real: -0.008674 Loss_D_fake 0.018649
[441/5000][405/535][45296] Loss_D: -0.026464 Loss_G: 0.022344 Loss_D_real: -0.026074 Loss_D_fake 0.000390
[441/5000][410/535][45297] Loss_D: -0.027475 Loss_G: 0.012303 Loss_D_real: -0.023483 Loss_D_fake 0.003992
[441/5000][415/535][45298] Loss_D: -0.027278 Loss_G: 0.013927 Loss_D_real: -0.013901 Loss_D_fake 0.013377
[441/5000][420/535][45299] Loss_D: -0.027566 Loss_G: 0.035359 Loss_D_real: -0.033151 Loss_D_fake -0.005585
[441/5000][425/535][45300] Loss_D: -0.027095 Loss_G: -0.016574 Loss_D_real: -0.000555 Loss_D_fake 0.026540
[441/5000][430/535][45301] Loss_D: -0.026459 Loss_G: 0.026766 Loss_D_real: -0.021347 Loss_D_fake 0.005112
[441/5000][435/535][45302] Loss_D: -0.027724 Loss_G: -0.002771 Loss_D_real: 0.001855 Loss_D_fake 0.029579
[441/5000][440/535][45303] Loss_D: -0.027144 Loss_G: 0.000868 Loss_D_real: -0.012096 Loss_D_fake 0.015048
[441/5000][445/535][45304] Loss_D: -0.025643 Loss_G: 0.036639 Loss_D_real: -0.031592 Loss_D_fake -0.005949
[441/5000][450/535][45305] Loss_D: -0.028684 Loss_G: 0.002576 Loss_D_real: -0.011756 Loss_D_fake 0.016927
[441/5000][455/535][45306] Loss_D: -0.028682 Loss_G: 0.006781 Loss_D_real: -0.012879 Loss_D_fake 0.015803
[441/5000][460/535][45307] Loss_D: -0.028890 Loss_G: 0.019153 Loss_D_real: -0.023550 Loss_D_fake 0.005341
[441/5000][465/535][45308] Loss_D: -0.029894 Loss_G: 0.006541 Loss_D_real: -0.017767 Loss_D_fake 0.012127
[441/5000][470/535][45309] Loss_D: -0.029746 Loss_G: 0.032561 Loss_D_real: -0.027998 Loss_D_fake 0.001748
[441/5000][475/535][45310] Loss_D: -0.028580 Loss_G: 0.021801 Loss_D_real: -0.012628 Loss_D_fake 0.015952
[441/5000][480/535][45311] Loss_D: -0.029758 Loss_G: 0.012818 Loss_D_real: -0.018687 Loss_D_fake 0.011071
[441/5000][485/535][45312] Loss_D: -0.028208 Loss_G: 0.021055 Loss_D_real: -0.011462 Loss_D_fake 0.016745
[441/5000][490/535][45313] Loss_D: -0.028687 Loss_G: -0.010175 Loss_D_real: -0.004646 Loss_D_fake 0.024041
[441/5000][495/535][45314] Loss_D: -0.027979 Loss_G: 0.006511 Loss_D_real: -0.012799 Loss_D_fake 0.015180
[441/5000][500/535][45315] Loss_D: -0.029230 Loss_G: 0.018081 Loss_D_real: -0.025452 Loss_D_fake 0.003778
[441/5000][505/535][45316] Loss_D: -0.027852 Loss_G: 0.026945 Loss_D_real: -0.020276 Loss_D_fake 0.007576
[441/5000][510/535][45317] Loss_D: -0.028362 Loss_G: 0.016306 Loss_D_real: -0.023197 Loss_D_fake 0.005165
[441/5000][515/535][45318] Loss_D: -0.027309 Loss_G: 0.029204 Loss_D_real: -0.041377 Loss_D_fake -0.014068
[441/5000][520/535][45319] Loss_D: -0.028324 Loss_G: 0.025981 Loss_D_real: -0.025242 Loss_D_fake 0.003082
[441/5000][525/535][45320] Loss_D: -0.028158 Loss_G: 0.008598 Loss_D_real: -0.012841 Loss_D_fake 0.015318
[441/5000][530/535][45321] Loss_D: -0.025687 Loss_G: 0.008748 Loss_D_real: -0.009289 Loss_D_fake 0.016399
[441/5000][535/535][45322] Loss_D: -0.025624 Loss_G: 0.034345 Loss_D_real: -0.021785 Loss_D_fake 0.003839
[442/5000][5/535][45323] Loss_D: -0.029219 Loss_G: 0.015713 Loss_D_real: -0.021032 Loss_D_fake 0.008187
[442/5000][10/535][45324] Loss_D: -0.029443 Loss_G: 0.030033 Loss_D_real: -0.030320 Loss_D_fake -0.000877
[442/5000][15/535][45325] Loss_D: -0.027093 Loss_G: 0.028203 Loss_D_real: -0.034590 Loss_D_fake -0.007498
[442/5000][20/535][45326] Loss_D: -0.028391 Loss_G: 0.001957 Loss_D_real: -0.012285 Loss_D_fake 0.016106
[442/5000][25/535][45327] Loss_D: -0.027592 Loss_G: 0.023174 Loss_D_real: -0.026425 Loss_D_fake 0.001166
[442/5000][30/535][45328] Loss_D: -0.029156 Loss_G: 0.015252 Loss_D_real: -0.011596 Loss_D_fake 0.017560
[442/5000][35/535][45329] Loss_D: -0.028571 Loss_G: 0.008039 Loss_D_real: -0.024143 Loss_D_fake 0.004428
[442/5000][40/535][45330] Loss_D: -0.028772 Loss_G: 0.005142 Loss_D_real: -0.011600 Loss_D_fake 0.017172
[442/5000][45/535][45331] Loss_D: -0.028711 Loss_G: 0.012592 Loss_D_real: -0.015297 Loss_D_fake 0.013414
[442/5000][50/535][45332] Loss_D: -0.028071 Loss_G: 0.005470 Loss_D_real: -0.009085 Loss_D_fake 0.018986
[442/5000][55/535][45333] Loss_D: -0.027571 Loss_G: 0.025359 Loss_D_real: -0.031036 Loss_D_fake -0.003466
[442/5000][60/535][45334] Loss_D: -0.027205 Loss_G: -0.011891 Loss_D_real: -0.001407 Loss_D_fake 0.025798
[442/5000][65/535][45335] Loss_D: -0.026983 Loss_G: 0.035919 Loss_D_real: -0.028461 Loss_D_fake -0.001477
[442/5000][70/535][45336] Loss_D: -0.029078 Loss_G: -0.006700 Loss_D_real: -0.007322 Loss_D_fake 0.021757
[442/5000][75/535][45337] Loss_D: -0.029121 Loss_G: 0.018022 Loss_D_real: -0.014133 Loss_D_fake 0.014987
[442/5000][80/535][45338] Loss_D: -0.026928 Loss_G: 0.024157 Loss_D_real: -0.017363 Loss_D_fake 0.009564
[442/5000][85/535][45339] Loss_D: -0.027943 Loss_G: 0.009346 Loss_D_real: -0.010235 Loss_D_fake 0.017708
[442/5000][90/535][45340] Loss_D: -0.027060 Loss_G: -0.004881 Loss_D_real: -0.007076 Loss_D_fake 0.019984
[442/5000][95/535][45341] Loss_D: -0.026888 Loss_G: 0.018133 Loss_D_real: -0.020925 Loss_D_fake 0.005963
[442/5000][100/535][45342] Loss_D: -0.026935 Loss_G: -0.007003 Loss_D_real: 0.008394 Loss_D_fake 0.035329
[442/5000][105/535][45343] Loss_D: -0.027603 Loss_G: 0.014883 Loss_D_real: -0.017194 Loss_D_fake 0.010409
[442/5000][110/535][45344] Loss_D: -0.028213 Loss_G: 0.006419 Loss_D_real: -0.006826 Loss_D_fake 0.021387
[442/5000][115/535][45345] Loss_D: -0.026402 Loss_G: -0.004718 Loss_D_real: -0.010490 Loss_D_fake 0.015912
[442/5000][120/535][45346] Loss_D: -0.026530 Loss_G: 0.028535 Loss_D_real: -0.028553 Loss_D_fake -0.002022
[442/5000][125/535][45347] Loss_D: -0.027170 Loss_G: 0.018769 Loss_D_real: -0.025234 Loss_D_fake 0.001936
[442/5000][130/535][45348] Loss_D: -0.026977 Loss_G: 0.034473 Loss_D_real: -0.035935 Loss_D_fake -0.008958
[442/5000][135/535][45349] Loss_D: -0.028013 Loss_G: 0.010520 Loss_D_real: -0.008994 Loss_D_fake 0.019019
[442/5000][140/535][45350] Loss_D: -0.027752 Loss_G: 0.021355 Loss_D_real: -0.014489 Loss_D_fake 0.013263
[442/5000][145/535][45351] Loss_D: -0.027821 Loss_G: -0.003925 Loss_D_real: -0.003764 Loss_D_fake 0.024058
[442/5000][150/535][45352] Loss_D: -0.026846 Loss_G: 0.022763 Loss_D_real: -0.024118 Loss_D_fake 0.002728
[442/5000][155/535][45353] Loss_D: -0.027330 Loss_G: 0.036702 Loss_D_real: -0.033761 Loss_D_fake -0.006431
[442/5000][160/535][45354] Loss_D: -0.028324 Loss_G: 0.000727 Loss_D_real: -0.003419 Loss_D_fake 0.024905
[442/5000][165/535][45355] Loss_D: -0.025334 Loss_G: 0.035200 Loss_D_real: -0.030022 Loss_D_fake -0.004688
[442/5000][170/535][45356] Loss_D: -0.028778 Loss_G: 0.007990 Loss_D_real: -0.016828 Loss_D_fake 0.011950
[442/5000][175/535][45357] Loss_D: -0.027965 Loss_G: 0.007475 Loss_D_real: -0.020739 Loss_D_fake 0.007226
[442/5000][180/535][45358] Loss_D: -0.028463 Loss_G: 0.019218 Loss_D_real: -0.026683 Loss_D_fake 0.001780
[442/5000][185/535][45359] Loss_D: -0.027994 Loss_G: 0.023841 Loss_D_real: -0.027391 Loss_D_fake 0.000603
[442/5000][190/535][45360] Loss_D: -0.030548 Loss_G: 0.020875 Loss_D_real: -0.025448 Loss_D_fake 0.005100
[442/5000][195/535][45361] Loss_D: -0.026358 Loss_G: 0.006280 Loss_D_real: 0.001161 Loss_D_fake 0.027519
[442/5000][200/535][45362] Loss_D: -0.026455 Loss_G: 0.003523 Loss_D_real: 0.001071 Loss_D_fake 0.027526
[442/5000][205/535][45363] Loss_D: -0.025042 Loss_G: 0.034547 Loss_D_real: -0.030720 Loss_D_fake -0.005678
[442/5000][210/535][45364] Loss_D: -0.027617 Loss_G: 0.024358 Loss_D_real: -0.023865 Loss_D_fake 0.003752
[442/5000][215/535][45365] Loss_D: -0.028166 Loss_G: 0.023720 Loss_D_real: -0.027737 Loss_D_fake 0.000429
[442/5000][220/535][45366] Loss_D: -0.027511 Loss_G: -0.004027 Loss_D_real: -0.001314 Loss_D_fake 0.026196
[442/5000][225/535][45367] Loss_D: -0.027760 Loss_G: 0.005320 Loss_D_real: -0.011452 Loss_D_fake 0.016308
[442/5000][230/535][45368] Loss_D: -0.027414 Loss_G: 0.017256 Loss_D_real: -0.024349 Loss_D_fake 0.003065
[442/5000][235/535][45369] Loss_D: -0.029209 Loss_G: 0.011841 Loss_D_real: -0.016563 Loss_D_fake 0.012646
[442/5000][240/535][45370] Loss_D: -0.028530 Loss_G: 0.023305 Loss_D_real: -0.031064 Loss_D_fake -0.002534
[442/5000][245/535][45371] Loss_D: -0.028423 Loss_G: -0.000538 Loss_D_real: 0.009202 Loss_D_fake 0.037625
[442/5000][250/535][45372] Loss_D: -0.027035 Loss_G: 0.028313 Loss_D_real: -0.037097 Loss_D_fake -0.010062
[442/5000][255/535][45373] Loss_D: -0.028581 Loss_G: 0.025664 Loss_D_real: -0.020771 Loss_D_fake 0.007810
[442/5000][260/535][45374] Loss_D: -0.027753 Loss_G: 0.032671 Loss_D_real: -0.030140 Loss_D_fake -0.002387
[442/5000][265/535][45375] Loss_D: -0.026270 Loss_G: 0.018849 Loss_D_real: -0.014744 Loss_D_fake 0.011526
[442/5000][270/535][45376] Loss_D: -0.026926 Loss_G: 0.023181 Loss_D_real: -0.028792 Loss_D_fake -0.001866
[442/5000][275/535][45377] Loss_D: -0.027195 Loss_G: 0.002249 Loss_D_real: -0.003048 Loss_D_fake 0.024147
[442/5000][280/535][45378] Loss_D: -0.026253 Loss_G: 0.017061 Loss_D_real: -0.028544 Loss_D_fake -0.002291
[442/5000][285/535][45379] Loss_D: -0.029763 Loss_G: 0.014201 Loss_D_real: -0.014510 Loss_D_fake 0.015254
[442/5000][290/535][45380] Loss_D: -0.026774 Loss_G: 0.010697 Loss_D_real: -0.018776 Loss_D_fake 0.007999
[442/5000][295/535][45381] Loss_D: -0.028273 Loss_G: 0.008737 Loss_D_real: -0.014774 Loss_D_fake 0.013499
[442/5000][300/535][45382] Loss_D: -0.027904 Loss_G: 0.030836 Loss_D_real: -0.031512 Loss_D_fake -0.003608
[442/5000][305/535][45383] Loss_D: -0.028435 Loss_G: 0.017435 Loss_D_real: -0.022459 Loss_D_fake 0.005976
[442/5000][310/535][45384] Loss_D: -0.026982 Loss_G: 0.030801 Loss_D_real: -0.028438 Loss_D_fake -0.001457
[442/5000][315/535][45385] Loss_D: -0.027908 Loss_G: 0.003250 Loss_D_real: -0.004137 Loss_D_fake 0.023771
[442/5000][320/535][45386] Loss_D: -0.027913 Loss_G: 0.009652 Loss_D_real: -0.020712 Loss_D_fake 0.007200
[442/5000][325/535][45387] Loss_D: -0.027293 Loss_G: 0.036009 Loss_D_real: -0.034529 Loss_D_fake -0.007236
[442/5000][330/535][45388] Loss_D: -0.028957 Loss_G: 0.018812 Loss_D_real: -0.020438 Loss_D_fake 0.008519
[442/5000][335/535][45389] Loss_D: -0.029059 Loss_G: 0.030138 Loss_D_real: -0.026743 Loss_D_fake 0.002316
[442/5000][340/535][45390] Loss_D: -0.029815 Loss_G: 0.011190 Loss_D_real: -0.024417 Loss_D_fake 0.005398
[442/5000][345/535][45391] Loss_D: -0.028597 Loss_G: 0.012065 Loss_D_real: -0.015783 Loss_D_fake 0.012814
[442/5000][350/535][45392] Loss_D: -0.028466 Loss_G: 0.010506 Loss_D_real: -0.022670 Loss_D_fake 0.005796
[442/5000][355/535][45393] Loss_D: -0.028002 Loss_G: -0.002078 Loss_D_real: -0.001030 Loss_D_fake 0.026972
[442/5000][360/535][45394] Loss_D: -0.027678 Loss_G: 0.005089 Loss_D_real: -0.017334 Loss_D_fake 0.010343
[442/5000][365/535][45395] Loss_D: -0.028417 Loss_G: 0.009984 Loss_D_real: -0.009636 Loss_D_fake 0.018781
[442/5000][370/535][45396] Loss_D: -0.028828 Loss_G: 0.009273 Loss_D_real: -0.016694 Loss_D_fake 0.012134
[442/5000][375/535][45397] Loss_D: -0.028105 Loss_G: 0.013824 Loss_D_real: -0.021264 Loss_D_fake 0.006840
[442/5000][380/535][45398] Loss_D: -0.028817 Loss_G: 0.016177 Loss_D_real: -0.024742 Loss_D_fake 0.004075
[442/5000][385/535][45399] Loss_D: -0.029878 Loss_G: 0.024520 Loss_D_real: -0.020413 Loss_D_fake 0.009465
[442/5000][390/535][45400] Loss_D: -0.027538 Loss_G: 0.000427 Loss_D_real: -0.009989 Loss_D_fake 0.017548
[442/5000][395/535][45401] Loss_D: -0.029531 Loss_G: 0.037186 Loss_D_real: -0.024668 Loss_D_fake 0.004863
[442/5000][400/535][45402] Loss_D: -0.028005 Loss_G: 0.004915 Loss_D_real: -0.016612 Loss_D_fake 0.011393
[442/5000][405/535][45403] Loss_D: -0.028469 Loss_G: -0.002565 Loss_D_real: -0.006900 Loss_D_fake 0.021569
[442/5000][410/535][45404] Loss_D: -0.026630 Loss_G: 0.033535 Loss_D_real: -0.028705 Loss_D_fake -0.002075
[442/5000][415/535][45405] Loss_D: -0.029341 Loss_G: 0.000333 Loss_D_real: -0.014015 Loss_D_fake 0.015325
[442/5000][420/535][45406] Loss_D: -0.026399 Loss_G: 0.026204 Loss_D_real: -0.024378 Loss_D_fake 0.002022
[442/5000][425/535][45407] Loss_D: -0.027465 Loss_G: 0.015677 Loss_D_real: -0.020382 Loss_D_fake 0.007083
[442/5000][430/535][45408] Loss_D: -0.027516 Loss_G: -0.000597 Loss_D_real: -0.014955 Loss_D_fake 0.012560
[442/5000][435/535][45409] Loss_D: -0.027017 Loss_G: 0.012100 Loss_D_real: -0.026128 Loss_D_fake 0.000889
[442/5000][440/535][45410] Loss_D: -0.028504 Loss_G: 0.011650 Loss_D_real: -0.018812 Loss_D_fake 0.009691
[442/5000][445/535][45411] Loss_D: -0.027119 Loss_G: 0.013690 Loss_D_real: -0.011571 Loss_D_fake 0.015548
[442/5000][450/535][45412] Loss_D: -0.028164 Loss_G: 0.020808 Loss_D_real: -0.023446 Loss_D_fake 0.004719
[442/5000][455/535][45413] Loss_D: -0.025800 Loss_G: 0.023497 Loss_D_real: -0.031484 Loss_D_fake -0.005684
[442/5000][460/535][45414] Loss_D: -0.027622 Loss_G: 0.008752 Loss_D_real: -0.014220 Loss_D_fake 0.013402
[442/5000][465/535][45415] Loss_D: -0.026701 Loss_G: 0.036028 Loss_D_real: -0.041217 Loss_D_fake -0.014516
[442/5000][470/535][45416] Loss_D: -0.028325 Loss_G: 0.015885 Loss_D_real: -0.022037 Loss_D_fake 0.006289
[442/5000][475/535][45417] Loss_D: -0.027945 Loss_G: 0.022723 Loss_D_real: -0.034361 Loss_D_fake -0.006416
[442/5000][480/535][45418] Loss_D: -0.027818 Loss_G: 0.018669 Loss_D_real: -0.018734 Loss_D_fake 0.009084
[442/5000][485/535][45419] Loss_D: -0.028336 Loss_G: 0.012937 Loss_D_real: -0.021107 Loss_D_fake 0.007230
[442/5000][490/535][45420] Loss_D: -0.026738 Loss_G: 0.029395 Loss_D_real: -0.040010 Loss_D_fake -0.013272
[442/5000][495/535][45421] Loss_D: -0.028142 Loss_G: 0.004212 Loss_D_real: -0.015568 Loss_D_fake 0.012574
[442/5000][500/535][45422] Loss_D: -0.027477 Loss_G: 0.021948 Loss_D_real: -0.032309 Loss_D_fake -0.004832
[442/5000][505/535][45423] Loss_D: -0.026477 Loss_G: 0.036907 Loss_D_real: -0.032495 Loss_D_fake -0.006018
[442/5000][510/535][45424] Loss_D: -0.028677 Loss_G: 0.020436 Loss_D_real: -0.020791 Loss_D_fake 0.007887
[442/5000][515/535][45425] Loss_D: -0.027769 Loss_G: -0.006048 Loss_D_real: -0.008959 Loss_D_fake 0.018810
[442/5000][520/535][45426] Loss_D: -0.027834 Loss_G: 0.021856 Loss_D_real: -0.012527 Loss_D_fake 0.015307
[442/5000][525/535][45427] Loss_D: -0.028435 Loss_G: 0.017917 Loss_D_real: -0.020336 Loss_D_fake 0.008100
[442/5000][530/535][45428] Loss_D: -0.027194 Loss_G: -0.015428 Loss_D_real: 0.007300 Loss_D_fake 0.034494
[442/5000][535/535][45429] Loss_D: -0.024104 Loss_G: 0.024563 Loss_D_real: -0.020595 Loss_D_fake 0.003509
[443/5000][5/535][45430] Loss_D: -0.028837 Loss_G: 0.023647 Loss_D_real: -0.017383 Loss_D_fake 0.011454
[443/5000][10/535][45431] Loss_D: -0.026717 Loss_G: 0.022444 Loss_D_real: -0.033717 Loss_D_fake -0.006999
[443/5000][15/535][45432] Loss_D: -0.029157 Loss_G: 0.004304 Loss_D_real: -0.014553 Loss_D_fake 0.014604
[443/5000][20/535][45433] Loss_D: -0.028958 Loss_G: 0.020204 Loss_D_real: -0.015546 Loss_D_fake 0.013411
[443/5000][25/535][45434] Loss_D: -0.027939 Loss_G: 0.026949 Loss_D_real: -0.023259 Loss_D_fake 0.004679
[443/5000][30/535][45435] Loss_D: -0.028168 Loss_G: 0.002361 Loss_D_real: -0.021732 Loss_D_fake 0.006437
[443/5000][35/535][45436] Loss_D: -0.028493 Loss_G: 0.008556 Loss_D_real: -0.015263 Loss_D_fake 0.013230
[443/5000][40/535][45437] Loss_D: -0.026534 Loss_G: 0.023549 Loss_D_real: -0.027642 Loss_D_fake -0.001108
[443/5000][45/535][45438] Loss_D: -0.027468 Loss_G: -0.001126 Loss_D_real: -0.012330 Loss_D_fake 0.015138
[443/5000][50/535][45439] Loss_D: -0.028115 Loss_G: 0.008935 Loss_D_real: -0.016952 Loss_D_fake 0.011163
[443/5000][55/535][45440] Loss_D: -0.026957 Loss_G: 0.004492 Loss_D_real: -0.017423 Loss_D_fake 0.009534
[443/5000][60/535][45441] Loss_D: -0.026885 Loss_G: 0.021130 Loss_D_real: -0.037159 Loss_D_fake -0.010274
[443/5000][65/535][45442] Loss_D: -0.029589 Loss_G: 0.014558 Loss_D_real: -0.007818 Loss_D_fake 0.021771
[443/5000][70/535][45443] Loss_D: -0.028973 Loss_G: 0.001796 Loss_D_real: -0.016926 Loss_D_fake 0.012047
[443/5000][75/535][45444] Loss_D: -0.028214 Loss_G: 0.011511 Loss_D_real: -0.020308 Loss_D_fake 0.007906
[443/5000][80/535][45445] Loss_D: -0.028411 Loss_G: -0.012990 Loss_D_real: -0.005369 Loss_D_fake 0.023042
[443/5000][85/535][45446] Loss_D: -0.028872 Loss_G: 0.035134 Loss_D_real: -0.030771 Loss_D_fake -0.001898
[443/5000][90/535][45447] Loss_D: -0.028878 Loss_G: 0.010949 Loss_D_real: -0.023225 Loss_D_fake 0.005653
[443/5000][95/535][45448] Loss_D: -0.028233 Loss_G: 0.004477 Loss_D_real: -0.011896 Loss_D_fake 0.016337
[443/5000][100/535][45449] Loss_D: -0.027957 Loss_G: 0.008347 Loss_D_real: -0.005580 Loss_D_fake 0.022377
[443/5000][105/535][45450] Loss_D: -0.027257 Loss_G: 0.016962 Loss_D_real: -0.014055 Loss_D_fake 0.013202
[443/5000][110/535][45451] Loss_D: -0.027812 Loss_G: 0.014321 Loss_D_real: -0.021072 Loss_D_fake 0.006740
[443/5000][115/535][45452] Loss_D: -0.029094 Loss_G: 0.025488 Loss_D_real: -0.020607 Loss_D_fake 0.008488
[443/5000][120/535][45453] Loss_D: -0.027827 Loss_G: 0.008708 Loss_D_real: -0.021583 Loss_D_fake 0.006244
[443/5000][125/535][45454] Loss_D: -0.027090 Loss_G: 0.000995 Loss_D_real: -0.008458 Loss_D_fake 0.018632
[443/5000][130/535][45455] Loss_D: -0.027796 Loss_G: 0.032118 Loss_D_real: -0.029511 Loss_D_fake -0.001715
[443/5000][135/535][45456] Loss_D: -0.028739 Loss_G: 0.012920 Loss_D_real: -0.026594 Loss_D_fake 0.002145
[443/5000][140/535][45457] Loss_D: -0.028212 Loss_G: 0.025947 Loss_D_real: -0.020285 Loss_D_fake 0.007927
[443/5000][145/535][45458] Loss_D: -0.029401 Loss_G: -0.000764 Loss_D_real: -0.007229 Loss_D_fake 0.022173
[443/5000][150/535][45459] Loss_D: -0.028619 Loss_G: 0.002955 Loss_D_real: -0.006247 Loss_D_fake 0.022372
[443/5000][155/535][45460] Loss_D: -0.026749 Loss_G: -0.001638 Loss_D_real: -0.005767 Loss_D_fake 0.020982
[443/5000][160/535][45461] Loss_D: -0.026755 Loss_G: 0.019138 Loss_D_real: -0.026250 Loss_D_fake 0.000505
[443/5000][165/535][45462] Loss_D: -0.027716 Loss_G: 0.008975 Loss_D_real: -0.014854 Loss_D_fake 0.012862
[443/5000][170/535][45463] Loss_D: -0.027751 Loss_G: -0.009446 Loss_D_real: 0.002563 Loss_D_fake 0.030314
[443/5000][175/535][45464] Loss_D: -0.025751 Loss_G: 0.033739 Loss_D_real: -0.035962 Loss_D_fake -0.010210
[443/5000][180/535][45465] Loss_D: -0.027847 Loss_G: 0.011111 Loss_D_real: -0.016923 Loss_D_fake 0.010924
[443/5000][185/535][45466] Loss_D: -0.027922 Loss_G: 0.005863 Loss_D_real: -0.014160 Loss_D_fake 0.013762
[443/5000][190/535][45467] Loss_D: -0.027729 Loss_G: 0.012613 Loss_D_real: -0.026073 Loss_D_fake 0.001656
[443/5000][195/535][45468] Loss_D: -0.027068 Loss_G: 0.031592 Loss_D_real: -0.029450 Loss_D_fake -0.002382
[443/5000][200/535][45469] Loss_D: -0.027939 Loss_G: 0.003575 Loss_D_real: -0.011203 Loss_D_fake 0.016736
[443/5000][205/535][45470] Loss_D: -0.027128 Loss_G: 0.003797 Loss_D_real: -0.020024 Loss_D_fake 0.007104
[443/5000][210/535][45471] Loss_D: -0.027359 Loss_G: 0.021306 Loss_D_real: -0.013317 Loss_D_fake 0.014042
[443/5000][215/535][45472] Loss_D: -0.026899 Loss_G: 0.022005 Loss_D_real: -0.025264 Loss_D_fake 0.001635
[443/5000][220/535][45473] Loss_D: -0.029130 Loss_G: 0.021753 Loss_D_real: -0.032622 Loss_D_fake -0.003492
[443/5000][225/535][45474] Loss_D: -0.028348 Loss_G: 0.028059 Loss_D_real: -0.025940 Loss_D_fake 0.002408
[443/5000][230/535][45475] Loss_D: -0.027914 Loss_G: 0.006066 Loss_D_real: -0.010411 Loss_D_fake 0.017503
[443/5000][235/535][45476] Loss_D: -0.028453 Loss_G: 0.012361 Loss_D_real: -0.015426 Loss_D_fake 0.013027
[443/5000][240/535][45477] Loss_D: -0.028399 Loss_G: 0.016712 Loss_D_real: -0.024974 Loss_D_fake 0.003425
[443/5000][245/535][45478] Loss_D: -0.028312 Loss_G: 0.018272 Loss_D_real: -0.015772 Loss_D_fake 0.012540
[443/5000][250/535][45479] Loss_D: -0.026500 Loss_G: 0.006906 Loss_D_real: -0.012643 Loss_D_fake 0.013856
[443/5000][255/535][45480] Loss_D: -0.027588 Loss_G: -0.007706 Loss_D_real: 0.001404 Loss_D_fake 0.028993
[443/5000][260/535][45481] Loss_D: -0.028617 Loss_G: 0.025821 Loss_D_real: -0.022288 Loss_D_fake 0.006329
[443/5000][265/535][45482] Loss_D: -0.027301 Loss_G: 0.018389 Loss_D_real: -0.022845 Loss_D_fake 0.004456
[443/5000][270/535][45483] Loss_D: -0.028017 Loss_G: 0.027358 Loss_D_real: -0.030117 Loss_D_fake -0.002100
[443/5000][275/535][45484] Loss_D: -0.026566 Loss_G: 0.037807 Loss_D_real: -0.038989 Loss_D_fake -0.012424
[443/5000][280/535][45485] Loss_D: -0.027147 Loss_G: 0.012714 Loss_D_real: -0.011397 Loss_D_fake 0.015750
[443/5000][285/535][45486] Loss_D: -0.028254 Loss_G: 0.018888 Loss_D_real: -0.021707 Loss_D_fake 0.006548
[443/5000][290/535][45487] Loss_D: -0.027603 Loss_G: 0.025146 Loss_D_real: -0.025353 Loss_D_fake 0.002250
[443/5000][295/535][45488] Loss_D: -0.027967 Loss_G: -0.006592 Loss_D_real: 0.005712 Loss_D_fake 0.033679
[443/5000][300/535][45489] Loss_D: -0.026943 Loss_G: 0.015819 Loss_D_real: -0.026627 Loss_D_fake 0.000316
[443/5000][305/535][45490] Loss_D: -0.029063 Loss_G: 0.017707 Loss_D_real: -0.017901 Loss_D_fake 0.011163
[443/5000][310/535][45491] Loss_D: -0.028153 Loss_G: -0.011158 Loss_D_real: 0.000006 Loss_D_fake 0.028159
[443/5000][315/535][45492] Loss_D: -0.026913 Loss_G: 0.020858 Loss_D_real: -0.022503 Loss_D_fake 0.004410
[443/5000][320/535][45493] Loss_D: -0.028452 Loss_G: 0.010269 Loss_D_real: -0.018532 Loss_D_fake 0.009920
[443/5000][325/535][45494] Loss_D: -0.028330 Loss_G: 0.012659 Loss_D_real: -0.006386 Loss_D_fake 0.021944
[443/5000][330/535][45495] Loss_D: -0.027075 Loss_G: -0.000587 Loss_D_real: 0.005032 Loss_D_fake 0.032108
[443/5000][335/535][45496] Loss_D: -0.025778 Loss_G: 0.014790 Loss_D_real: -0.023529 Loss_D_fake 0.002249
[443/5000][340/535][45497] Loss_D: -0.028592 Loss_G: 0.024689 Loss_D_real: -0.021492 Loss_D_fake 0.007100
[443/5000][345/535][45498] Loss_D: -0.027519 Loss_G: 0.021098 Loss_D_real: -0.023342 Loss_D_fake 0.004177
[443/5000][350/535][45499] Loss_D: -0.028572 Loss_G: 0.021517 Loss_D_real: -0.025235 Loss_D_fake 0.003337
[443/5000][355/535][45500] Loss_D: -0.027951 Loss_G: -0.016570 Loss_D_real: 0.009242 Loss_D_fake 0.037194
[443/5000][455/535][45501] Loss_D: -0.028010 Loss_G: 0.024919 Loss_D_real: -0.029376 Loss_D_fake -0.001366
[443/5000][460/535][45502] Loss_D: -0.030017 Loss_G: 0.007976 Loss_D_real: -0.008303 Loss_D_fake 0.021714
[443/5000][465/535][45503] Loss_D: -0.026981 Loss_G: 0.004784 Loss_D_real: -0.011349 Loss_D_fake 0.015632
[443/5000][470/535][45504] Loss_D: -0.026701 Loss_G: 0.010079 Loss_D_real: -0.016897 Loss_D_fake 0.009804
[443/5000][475/535][45505] Loss_D: -0.027840 Loss_G: 0.019733 Loss_D_real: -0.022110 Loss_D_fake 0.005731
[443/5000][480/535][45506] Loss_D: -0.027541 Loss_G: 0.007966 Loss_D_real: -0.010741 Loss_D_fake 0.016800
[443/5000][485/535][45507] Loss_D: -0.028376 Loss_G: 0.019581 Loss_D_real: -0.025344 Loss_D_fake 0.003032
[443/5000][490/535][45508] Loss_D: -0.026903 Loss_G: 0.010726 Loss_D_real: -0.014856 Loss_D_fake 0.012047
[443/5000][495/535][45509] Loss_D: -0.027050 Loss_G: 0.023183 Loss_D_real: -0.021734 Loss_D_fake 0.005316
[443/5000][500/535][45510] Loss_D: -0.027159 Loss_G: -0.006714 Loss_D_real: -0.003223 Loss_D_fake 0.023937
[443/5000][505/535][45511] Loss_D: -0.027238 Loss_G: 0.011128 Loss_D_real: -0.012626 Loss_D_fake 0.014612
[443/5000][510/535][45512] Loss_D: -0.026101 Loss_G: 0.029047 Loss_D_real: -0.026595 Loss_D_fake -0.000494
[443/5000][515/535][45513] Loss_D: -0.026848 Loss_G: 0.018759 Loss_D_real: -0.022817 Loss_D_fake 0.004030
[443/5000][520/535][45514] Loss_D: -0.027608 Loss_G: 0.017521 Loss_D_real: -0.029913 Loss_D_fake -0.002305
[443/5000][525/535][45515] Loss_D: -0.027210 Loss_G: -0.001587 Loss_D_real: -0.000901 Loss_D_fake 0.026308
[443/5000][530/535][45516] Loss_D: -0.027109 Loss_G: 0.013997 Loss_D_real: -0.023922 Loss_D_fake 0.003187
[443/5000][535/535][45517] Loss_D: -0.025605 Loss_G: 0.004690 Loss_D_real: -0.012847 Loss_D_fake 0.012758
[444/5000][5/535][45518] Loss_D: -0.028486 Loss_G: 0.015248 Loss_D_real: -0.018343 Loss_D_fake 0.010144
[444/5000][10/535][45519] Loss_D: -0.028691 Loss_G: 0.001689 Loss_D_real: -0.004352 Loss_D_fake 0.024339
[444/5000][15/535][45520] Loss_D: -0.028321 Loss_G: 0.033292 Loss_D_real: -0.027345 Loss_D_fake 0.000976
[444/5000][20/535][45521] Loss_D: -0.027639 Loss_G: 0.033196 Loss_D_real: -0.023614 Loss_D_fake 0.004025
[444/5000][25/535][45522] Loss_D: -0.026705 Loss_G: 0.027303 Loss_D_real: -0.020684 Loss_D_fake 0.006021
[444/5000][30/535][45523] Loss_D: -0.027519 Loss_G: 0.026972 Loss_D_real: -0.033797 Loss_D_fake -0.006278
[444/5000][35/535][45524] Loss_D: -0.028522 Loss_G: 0.008825 Loss_D_real: -0.023187 Loss_D_fake 0.005334
[444/5000][40/535][45525] Loss_D: -0.027397 Loss_G: 0.027066 Loss_D_real: -0.027305 Loss_D_fake 0.000093
[444/5000][45/535][45526] Loss_D: -0.028787 Loss_G: 0.004907 Loss_D_real: 0.000576 Loss_D_fake 0.029363
[444/5000][50/535][45527] Loss_D: -0.027170 Loss_G: 0.005596 Loss_D_real: -0.007495 Loss_D_fake 0.019675
[444/5000][55/535][45528] Loss_D: -0.027293 Loss_G: -0.004255 Loss_D_real: 0.000214 Loss_D_fake 0.027507
[444/5000][60/535][45529] Loss_D: -0.026087 Loss_G: 0.008543 Loss_D_real: -0.011423 Loss_D_fake 0.014664
[444/5000][65/535][45530] Loss_D: -0.026769 Loss_G: 0.021489 Loss_D_real: -0.025765 Loss_D_fake 0.001004
[444/5000][70/535][45531] Loss_D: -0.026705 Loss_G: -0.000765 Loss_D_real: -0.004924 Loss_D_fake 0.021781
[444/5000][75/535][45532] Loss_D: -0.025009 Loss_G: 0.021762 Loss_D_real: -0.027193 Loss_D_fake -0.002184
[444/5000][80/535][45533] Loss_D: -0.025974 Loss_G: -0.000411 Loss_D_real: -0.009684 Loss_D_fake 0.016290
[444/5000][85/535][45534] Loss_D: -0.027721 Loss_G: 0.006812 Loss_D_real: -0.013941 Loss_D_fake 0.013780
[444/5000][90/535][45535] Loss_D: -0.027143 Loss_G: 0.030357 Loss_D_real: -0.022014 Loss_D_fake 0.005129
[444/5000][95/535][45536] Loss_D: -0.028240 Loss_G: 0.040734 Loss_D_real: -0.032993 Loss_D_fake -0.004753
[444/5000][100/535][45537] Loss_D: -0.027616 Loss_G: -0.010567 Loss_D_real: 0.000538 Loss_D_fake 0.028154
[444/5000][105/535][45538] Loss_D: -0.027878 Loss_G: 0.002433 Loss_D_real: -0.014393 Loss_D_fake 0.013484
[444/5000][110/535][45539] Loss_D: -0.028569 Loss_G: 0.018362 Loss_D_real: -0.019077 Loss_D_fake 0.009491
[444/5000][115/535][45540] Loss_D: -0.026113 Loss_G: 0.041708 Loss_D_real: -0.035398 Loss_D_fake -0.009285
[444/5000][120/535][45541] Loss_D: -0.028449 Loss_G: -0.001280 Loss_D_real: -0.008786 Loss_D_fake 0.019663
[444/5000][125/535][45542] Loss_D: -0.028417 Loss_G: 0.006162 Loss_D_real: -0.020129 Loss_D_fake 0.008288
[444/5000][130/535][45543] Loss_D: -0.029295 Loss_G: 0.006716 Loss_D_real: -0.020592 Loss_D_fake 0.008702
[444/5000][135/535][45544] Loss_D: -0.028325 Loss_G: 0.009716 Loss_D_real: -0.010695 Loss_D_fake 0.017630
[444/5000][140/535][45545] Loss_D: -0.028248 Loss_G: 0.015985 Loss_D_real: -0.019957 Loss_D_fake 0.008291
[444/5000][145/535][45546] Loss_D: -0.028246 Loss_G: 0.018496 Loss_D_real: -0.032017 Loss_D_fake -0.003771
[444/5000][150/535][45547] Loss_D: -0.028157 Loss_G: 0.006980 Loss_D_real: -0.009548 Loss_D_fake 0.018609
[444/5000][155/535][45548] Loss_D: -0.026680 Loss_G: 0.032102 Loss_D_real: -0.042655 Loss_D_fake -0.015975
[444/5000][160/535][45549] Loss_D: -0.026700 Loss_G: -0.001000 Loss_D_real: -0.014393 Loss_D_fake 0.012306
[444/5000][165/535][45550] Loss_D: -0.027690 Loss_G: -0.000367 Loss_D_real: -0.013487 Loss_D_fake 0.014204
[444/5000][170/535][45551] Loss_D: -0.026590 Loss_G: 0.011070 Loss_D_real: -0.014657 Loss_D_fake 0.011933
[444/5000][175/535][45552] Loss_D: -0.027291 Loss_G: 0.024322 Loss_D_real: -0.029709 Loss_D_fake -0.002418
[444/5000][180/535][45553] Loss_D: -0.028093 Loss_G: 0.005805 Loss_D_real: -0.013817 Loss_D_fake 0.014276
[444/5000][185/535][45554] Loss_D: -0.028470 Loss_G: 0.020102 Loss_D_real: -0.019186 Loss_D_fake 0.009285
[444/5000][190/535][45555] Loss_D: -0.028239 Loss_G: 0.016643 Loss_D_real: -0.018644 Loss_D_fake 0.009595
[444/5000][195/535][45556] Loss_D: -0.027781 Loss_G: -0.000711 Loss_D_real: -0.000866 Loss_D_fake 0.026915
[444/5000][200/535][45557] Loss_D: -0.026814 Loss_G: 0.013392 Loss_D_real: -0.012601 Loss_D_fake 0.014213
[444/5000][205/535][45558] Loss_D: -0.029172 Loss_G: 0.007841 Loss_D_real: -0.013820 Loss_D_fake 0.015352
[444/5000][210/535][45559] Loss_D: -0.027993 Loss_G: 0.009809 Loss_D_real: -0.007586 Loss_D_fake 0.020407
[444/5000][215/535][45560] Loss_D: -0.029460 Loss_G: 0.017327 Loss_D_real: -0.018269 Loss_D_fake 0.011191
[444/5000][220/535][45561] Loss_D: -0.029354 Loss_G: 0.030218 Loss_D_real: -0.028384 Loss_D_fake 0.000970
[444/5000][225/535][45562] Loss_D: -0.026637 Loss_G: -0.009664 Loss_D_real: 0.004242 Loss_D_fake 0.030879
[444/5000][230/535][45563] Loss_D: -0.026988 Loss_G: 0.000949 Loss_D_real: -0.006456 Loss_D_fake 0.020532
[444/5000][235/535][45564] Loss_D: -0.027219 Loss_G: -0.004621 Loss_D_real: -0.013452 Loss_D_fake 0.013768
[444/5000][240/535][45565] Loss_D: -0.029015 Loss_G: 0.023826 Loss_D_real: -0.019960 Loss_D_fake 0.009055
[444/5000][245/535][45566] Loss_D: -0.028936 Loss_G: 0.023886 Loss_D_real: -0.025068 Loss_D_fake 0.003868
[444/5000][250/535][45567] Loss_D: -0.029529 Loss_G: 0.033016 Loss_D_real: -0.026903 Loss_D_fake 0.002626
[444/5000][255/535][45568] Loss_D: -0.028237 Loss_G: 0.026336 Loss_D_real: -0.026265 Loss_D_fake 0.001972
[444/5000][260/535][45569] Loss_D: -0.027902 Loss_G: 0.022549 Loss_D_real: -0.014883 Loss_D_fake 0.013019
[444/5000][265/535][45570] Loss_D: -0.027212 Loss_G: 0.007895 Loss_D_real: -0.013405 Loss_D_fake 0.013807
[444/5000][270/535][45571] Loss_D: -0.026618 Loss_G: 0.028015 Loss_D_real: -0.033649 Loss_D_fake -0.007032
[444/5000][275/535][45572] Loss_D: -0.028175 Loss_G: 0.011740 Loss_D_real: -0.010120 Loss_D_fake 0.018055
[444/5000][280/535][45573] Loss_D: -0.027102 Loss_G: 0.027361 Loss_D_real: -0.028948 Loss_D_fake -0.001847
[444/5000][285/535][45574] Loss_D: -0.027539 Loss_G: 0.023767 Loss_D_real: -0.022873 Loss_D_fake 0.004666
[444/5000][290/535][45575] Loss_D: -0.027705 Loss_G: 0.024005 Loss_D_real: -0.016962 Loss_D_fake 0.010744
[444/5000][295/535][45576] Loss_D: -0.029847 Loss_G: 0.016471 Loss_D_real: -0.022390 Loss_D_fake 0.007458
[444/5000][300/535][45577] Loss_D: -0.028388 Loss_G: 0.008757 Loss_D_real: -0.010758 Loss_D_fake 0.017630
[444/5000][305/535][45578] Loss_D: -0.027759 Loss_G: 0.009320 Loss_D_real: -0.010099 Loss_D_fake 0.017660
[444/5000][310/535][45579] Loss_D: -0.027138 Loss_G: 0.040427 Loss_D_real: -0.032333 Loss_D_fake -0.005195
[444/5000][315/535][45580] Loss_D: -0.027974 Loss_G: -0.007428 Loss_D_real: -0.003419 Loss_D_fake 0.024555
[444/5000][320/535][45581] Loss_D: -0.026708 Loss_G: 0.012246 Loss_D_real: -0.013919 Loss_D_fake 0.012789
[444/5000][325/535][45582] Loss_D: -0.026199 Loss_G: -0.002710 Loss_D_real: 0.004458 Loss_D_fake 0.030658
[444/5000][330/535][45583] Loss_D: -0.027481 Loss_G: 0.012069 Loss_D_real: -0.014466 Loss_D_fake 0.013015
[444/5000][335/535][45584] Loss_D: -0.025887 Loss_G: 0.024334 Loss_D_real: -0.038134 Loss_D_fake -0.012247
[444/5000][340/535][45585] Loss_D: -0.027345 Loss_G: 0.035334 Loss_D_real: -0.025615 Loss_D_fake 0.001730
[444/5000][345/535][45586] Loss_D: -0.026339 Loss_G: 0.010742 Loss_D_real: -0.025212 Loss_D_fake 0.001127
[444/5000][350/535][45587] Loss_D: -0.028274 Loss_G: 0.008304 Loss_D_real: -0.016817 Loss_D_fake 0.011457
[444/5000][355/535][45588] Loss_D: -0.026063 Loss_G: 0.032552 Loss_D_real: -0.030793 Loss_D_fake -0.004730
[444/5000][360/535][45589] Loss_D: -0.026534 Loss_G: 0.013687 Loss_D_real: -0.021896 Loss_D_fake 0.004638
[444/5000][365/535][45590] Loss_D: -0.028826 Loss_G: 0.008373 Loss_D_real: -0.011539 Loss_D_fake 0.017287
[444/5000][370/535][45591] Loss_D: -0.027160 Loss_G: 0.008617 Loss_D_real: -0.020813 Loss_D_fake 0.006346
[444/5000][375/535][45592] Loss_D: -0.028202 Loss_G: 0.008137 Loss_D_real: -0.008934 Loss_D_fake 0.019268
[444/5000][380/535][45593] Loss_D: -0.027700 Loss_G: 0.020554 Loss_D_real: -0.021984 Loss_D_fake 0.005716
[444/5000][385/535][45594] Loss_D: -0.027866 Loss_G: 0.001092 Loss_D_real: 0.002448 Loss_D_fake 0.030314
[444/5000][390/535][45595] Loss_D: -0.027116 Loss_G: 0.010300 Loss_D_real: -0.030882 Loss_D_fake -0.003767
[444/5000][395/535][45596] Loss_D: -0.028220 Loss_G: 0.006234 Loss_D_real: -0.012815 Loss_D_fake 0.015405
[444/5000][400/535][45597] Loss_D: -0.027226 Loss_G: -0.002565 Loss_D_real: -0.000650 Loss_D_fake 0.026576
[444/5000][405/535][45598] Loss_D: -0.027119 Loss_G: 0.016188 Loss_D_real: -0.016861 Loss_D_fake 0.010259
[444/5000][410/535][45599] Loss_D: -0.026840 Loss_G: 0.019737 Loss_D_real: -0.020595 Loss_D_fake 0.006245
[444/5000][415/535][45600] Loss_D: -0.027684 Loss_G: 0.015103 Loss_D_real: -0.017716 Loss_D_fake 0.009968
[444/5000][420/535][45601] Loss_D: -0.025772 Loss_G: 0.043217 Loss_D_real: -0.042753 Loss_D_fake -0.016981
[444/5000][425/535][45602] Loss_D: -0.027459 Loss_G: -0.008716 Loss_D_real: -0.005386 Loss_D_fake 0.022073
[444/5000][430/535][45603] Loss_D: -0.027099 Loss_G: 0.010536 Loss_D_real: -0.015650 Loss_D_fake 0.011449
[444/5000][435/535][45604] Loss_D: -0.027132 Loss_G: 0.024201 Loss_D_real: -0.028192 Loss_D_fake -0.001060
[444/5000][440/535][45605] Loss_D: -0.028005 Loss_G: 0.025776 Loss_D_real: -0.023293 Loss_D_fake 0.004712
[444/5000][445/535][45606] Loss_D: -0.027763 Loss_G: 0.014962 Loss_D_real: -0.021259 Loss_D_fake 0.006504
[444/5000][450/535][45607] Loss_D: -0.028704 Loss_G: 0.016615 Loss_D_real: -0.029805 Loss_D_fake -0.001101
[444/5000][455/535][45608] Loss_D: -0.027446 Loss_G: -0.005798 Loss_D_real: -0.000225 Loss_D_fake 0.027222
[444/5000][460/535][45609] Loss_D: -0.027635 Loss_G: 0.022096 Loss_D_real: -0.018845 Loss_D_fake 0.008790
[444/5000][465/535][45610] Loss_D: -0.026499 Loss_G: 0.021885 Loss_D_real: -0.019938 Loss_D_fake 0.006560
[444/5000][470/535][45611] Loss_D: -0.028271 Loss_G: 0.018897 Loss_D_real: -0.023912 Loss_D_fake 0.004359
[444/5000][475/535][45612] Loss_D: -0.028798 Loss_G: -0.000156 Loss_D_real: -0.006573 Loss_D_fake 0.022225
[444/5000][480/535][45613] Loss_D: -0.027260 Loss_G: 0.037777 Loss_D_real: -0.037023 Loss_D_fake -0.009762
[444/5000][485/535][45614] Loss_D: -0.028861 Loss_G: -0.002326 Loss_D_real: -0.006113 Loss_D_fake 0.022748
[444/5000][490/535][45615] Loss_D: -0.028614 Loss_G: 0.011453 Loss_D_real: -0.015068 Loss_D_fake 0.013546
[444/5000][495/535][45616] Loss_D: -0.029079 Loss_G: 0.004110 Loss_D_real: -0.008182 Loss_D_fake 0.020897
[444/5000][500/535][45617] Loss_D: -0.027488 Loss_G: 0.039886 Loss_D_real: -0.040612 Loss_D_fake -0.013124
[444/5000][505/535][45618] Loss_D: -0.028452 Loss_G: -0.006614 Loss_D_real: -0.002731 Loss_D_fake 0.025721
[444/5000][510/535][45619] Loss_D: -0.027496 Loss_G: 0.021993 Loss_D_real: -0.020810 Loss_D_fake 0.006687
[444/5000][515/535][45620] Loss_D: -0.029303 Loss_G: 0.015131 Loss_D_real: -0.016047 Loss_D_fake 0.013257
[444/5000][520/535][45621] Loss_D: -0.028051 Loss_G: 0.040652 Loss_D_real: -0.025781 Loss_D_fake 0.002270
[444/5000][525/535][45622] Loss_D: -0.026649 Loss_G: 0.011308 Loss_D_real: -0.014052 Loss_D_fake 0.012597
[444/5000][530/535][45623] Loss_D: -0.028547 Loss_G: 0.018441 Loss_D_real: -0.026779 Loss_D_fake 0.001768
[444/5000][535/535][45624] Loss_D: -0.025691 Loss_G: -0.016471 Loss_D_real: -0.009833 Loss_D_fake 0.015859
[445/5000][5/535][45625] Loss_D: -0.027803 Loss_G: 0.010855 Loss_D_real: -0.012952 Loss_D_fake 0.014852
[445/5000][10/535][45626] Loss_D: -0.028387 Loss_G: 0.027571 Loss_D_real: -0.023530 Loss_D_fake 0.004857
[445/5000][15/535][45627] Loss_D: -0.027995 Loss_G: 0.023537 Loss_D_real: -0.019725 Loss_D_fake 0.008270
[445/5000][20/535][45628] Loss_D: -0.028502 Loss_G: 0.021019 Loss_D_real: -0.017129 Loss_D_fake 0.011374
[445/5000][25/535][45629] Loss_D: -0.027324 Loss_G: 0.008795 Loss_D_real: -0.013130 Loss_D_fake 0.014194
[445/5000][30/535][45630] Loss_D: -0.027974 Loss_G: -0.007133 Loss_D_real: -0.005442 Loss_D_fake 0.022532
[445/5000][35/535][45631] Loss_D: -0.028301 Loss_G: 0.006895 Loss_D_real: -0.020322 Loss_D_fake 0.007979
[445/5000][40/535][45632] Loss_D: -0.028758 Loss_G: 0.004239 Loss_D_real: -0.012294 Loss_D_fake 0.016464
[445/5000][45/535][45633] Loss_D: -0.027541 Loss_G: 0.033412 Loss_D_real: -0.032966 Loss_D_fake -0.005425
[445/5000][50/535][45634] Loss_D: -0.027730 Loss_G: -0.004883 Loss_D_real: -0.009411 Loss_D_fake 0.018319
[445/5000][55/535][45635] Loss_D: -0.027408 Loss_G: 0.021374 Loss_D_real: -0.020141 Loss_D_fake 0.007266
[445/5000][60/535][45636] Loss_D: -0.027547 Loss_G: 0.022470 Loss_D_real: -0.030257 Loss_D_fake -0.002710
[445/5000][65/535][45637] Loss_D: -0.027543 Loss_G: 0.019930 Loss_D_real: -0.028984 Loss_D_fake -0.001441
[445/5000][70/535][45638] Loss_D: -0.028563 Loss_G: 0.026520 Loss_D_real: -0.038759 Loss_D_fake -0.010196
[445/5000][75/535][45639] Loss_D: -0.028348 Loss_G: 0.023711 Loss_D_real: -0.020464 Loss_D_fake 0.007885
[445/5000][80/535][45640] Loss_D: -0.026748 Loss_G: 0.033852 Loss_D_real: -0.020943 Loss_D_fake 0.005804
[445/5000][85/535][45641] Loss_D: -0.025690 Loss_G: 0.031048 Loss_D_real: -0.029432 Loss_D_fake -0.003743
[445/5000][90/535][45642] Loss_D: -0.028193 Loss_G: 0.000484 Loss_D_real: -0.005700 Loss_D_fake 0.022493
[445/5000][95/535][45643] Loss_D: -0.027599 Loss_G: 0.016485 Loss_D_real: -0.018356 Loss_D_fake 0.009243
[445/5000][100/535][45644] Loss_D: -0.027348 Loss_G: -0.009107 Loss_D_real: -0.001981 Loss_D_fake 0.025367
[445/5000][105/535][45645] Loss_D: -0.026634 Loss_G: -0.003892 Loss_D_real: 0.001082 Loss_D_fake 0.027716
[445/5000][110/535][45646] Loss_D: -0.026865 Loss_G: 0.019865 Loss_D_real: -0.022272 Loss_D_fake 0.004593
[445/5000][115/535][45647] Loss_D: -0.027876 Loss_G: 0.033817 Loss_D_real: -0.025916 Loss_D_fake 0.001961
[445/5000][120/535][45648] Loss_D: -0.028804 Loss_G: 0.034987 Loss_D_real: -0.026096 Loss_D_fake 0.002708
[445/5000][125/535][45649] Loss_D: -0.028979 Loss_G: 0.001134 Loss_D_real: -0.007993 Loss_D_fake 0.020986
[445/5000][130/535][45650] Loss_D: -0.028583 Loss_G: 0.008349 Loss_D_real: -0.015869 Loss_D_fake 0.012713
[445/5000][135/535][45651] Loss_D: -0.027954 Loss_G: 0.027701 Loss_D_real: -0.022806 Loss_D_fake 0.005147
[445/5000][140/535][45652] Loss_D: -0.027737 Loss_G: 0.036701 Loss_D_real: -0.030764 Loss_D_fake -0.003027
[445/5000][145/535][45653] Loss_D: -0.027427 Loss_G: 0.000209 Loss_D_real: -0.003530 Loss_D_fake 0.023897
[445/5000][150/535][45654] Loss_D: -0.026232 Loss_G: 0.030735 Loss_D_real: -0.031143 Loss_D_fake -0.004911
[445/5000][155/535][45655] Loss_D: -0.028400 Loss_G: 0.015695 Loss_D_real: -0.016947 Loss_D_fake 0.011453
[445/5000][160/535][45656] Loss_D: -0.028271 Loss_G: 0.020855 Loss_D_real: -0.029535 Loss_D_fake -0.001264
[445/5000][165/535][45657] Loss_D: -0.027359 Loss_G: 0.013910 Loss_D_real: -0.014125 Loss_D_fake 0.013234
[445/5000][170/535][45658] Loss_D: -0.027383 Loss_G: 0.006200 Loss_D_real: -0.020133 Loss_D_fake 0.007250
[445/5000][175/535][45659] Loss_D: -0.027647 Loss_G: 0.021654 Loss_D_real: -0.012363 Loss_D_fake 0.015283
[445/5000][180/535][45660] Loss_D: -0.028832 Loss_G: 0.010816 Loss_D_real: -0.019482 Loss_D_fake 0.009350
[445/5000][185/535][45661] Loss_D: -0.028372 Loss_G: -0.001599 Loss_D_real: -0.005620 Loss_D_fake 0.022752
[445/5000][190/535][45662] Loss_D: -0.027065 Loss_G: 0.042219 Loss_D_real: -0.036855 Loss_D_fake -0.009789
[445/5000][195/535][45663] Loss_D: -0.027523 Loss_G: 0.009974 Loss_D_real: -0.005956 Loss_D_fake 0.021567
[445/5000][200/535][45664] Loss_D: -0.027719 Loss_G: 0.012333 Loss_D_real: -0.025236 Loss_D_fake 0.002483
[445/5000][205/535][45665] Loss_D: -0.029180 Loss_G: 0.028348 Loss_D_real: -0.027423 Loss_D_fake 0.001757
[445/5000][210/535][45666] Loss_D: -0.028584 Loss_G: 0.015506 Loss_D_real: -0.016740 Loss_D_fake 0.011844
[445/5000][215/535][45667] Loss_D: -0.029748 Loss_G: -0.008505 Loss_D_real: -0.014315 Loss_D_fake 0.015434
[445/5000][220/535][45668] Loss_D: -0.026574 Loss_G: 0.031985 Loss_D_real: -0.035284 Loss_D_fake -0.008710
[445/5000][225/535][45669] Loss_D: -0.027364 Loss_G: -0.000499 Loss_D_real: -0.007098 Loss_D_fake 0.020265
[445/5000][230/535][45670] Loss_D: -0.027312 Loss_G: 0.032182 Loss_D_real: -0.034410 Loss_D_fake -0.007098
[445/5000][235/535][45671] Loss_D: -0.027817 Loss_G: -0.007015 Loss_D_real: -0.008781 Loss_D_fake 0.019035
[445/5000][240/535][45672] Loss_D: -0.026588 Loss_G: 0.014440 Loss_D_real: -0.033339 Loss_D_fake -0.006752
[445/5000][245/535][45673] Loss_D: -0.028348 Loss_G: 0.036477 Loss_D_real: -0.033183 Loss_D_fake -0.004835
[445/5000][250/535][45674] Loss_D: -0.029587 Loss_G: 0.002220 Loss_D_real: -0.014502 Loss_D_fake 0.015085
[445/5000][255/535][45675] Loss_D: -0.027616 Loss_G: 0.029707 Loss_D_real: -0.020663 Loss_D_fake 0.006953
[445/5000][260/535][45676] Loss_D: -0.028636 Loss_G: 0.007317 Loss_D_real: -0.021034 Loss_D_fake 0.007603
[445/5000][265/535][45677] Loss_D: -0.027083 Loss_G: 0.004727 Loss_D_real: -0.014297 Loss_D_fake 0.012786
[445/5000][270/535][45678] Loss_D: -0.027865 Loss_G: 0.005056 Loss_D_real: -0.016072 Loss_D_fake 0.011793
[445/5000][275/535][45679] Loss_D: -0.027350 Loss_G: 0.038677 Loss_D_real: -0.029080 Loss_D_fake -0.001730
[445/5000][280/535][45680] Loss_D: -0.028764 Loss_G: 0.016822 Loss_D_real: -0.027448 Loss_D_fake 0.001316
[445/5000][285/535][45681] Loss_D: -0.027181 Loss_G: 0.019499 Loss_D_real: -0.036753 Loss_D_fake -0.009572
[445/5000][290/535][45682] Loss_D: -0.027935 Loss_G: 0.005373 Loss_D_real: -0.018023 Loss_D_fake 0.009912
[445/5000][295/535][45683] Loss_D: -0.027601 Loss_G: 0.028511 Loss_D_real: -0.036515 Loss_D_fake -0.008914
[445/5000][300/535][45684] Loss_D: -0.027961 Loss_G: 0.020865 Loss_D_real: -0.027442 Loss_D_fake 0.000519
[445/5000][305/535][45685] Loss_D: -0.028327 Loss_G: 0.012887 Loss_D_real: -0.016602 Loss_D_fake 0.011726
[445/5000][310/535][45686] Loss_D: -0.026728 Loss_G: -0.002350 Loss_D_real: -0.003667 Loss_D_fake 0.023061
[445/5000][315/535][45687] Loss_D: -0.026741 Loss_G: 0.011175 Loss_D_real: -0.019066 Loss_D_fake 0.007675
[445/5000][320/535][45688] Loss_D: -0.027264 Loss_G: 0.040273 Loss_D_real: -0.039645 Loss_D_fake -0.012381
[445/5000][325/535][45689] Loss_D: -0.028079 Loss_G: 0.014387 Loss_D_real: -0.014381 Loss_D_fake 0.013698
[445/5000][330/535][45690] Loss_D: -0.026779 Loss_G: 0.035080 Loss_D_real: -0.031535 Loss_D_fake -0.004756
[445/5000][335/535][45691] Loss_D: -0.028382 Loss_G: 0.001604 Loss_D_real: -0.013552 Loss_D_fake 0.014830
[445/5000][340/535][45692] Loss_D: -0.028105 Loss_G: 0.013621 Loss_D_real: -0.021719 Loss_D_fake 0.006387
[445/5000][345/535][45693] Loss_D: -0.029129 Loss_G: 0.002804 Loss_D_real: -0.011401 Loss_D_fake 0.017727
[445/5000][350/535][45694] Loss_D: -0.028091 Loss_G: 0.010973 Loss_D_real: -0.021666 Loss_D_fake 0.006425
[445/5000][355/535][45695] Loss_D: -0.027180 Loss_G: 0.027707 Loss_D_real: -0.030189 Loss_D_fake -0.003009
[445/5000][360/535][45696] Loss_D: -0.028692 Loss_G: 0.004832 Loss_D_real: -0.004268 Loss_D_fake 0.024424
[445/5000][365/535][45697] Loss_D: -0.028301 Loss_G: 0.025817 Loss_D_real: -0.026536 Loss_D_fake 0.001765
[445/5000][370/535][45698] Loss_D: -0.028178 Loss_G: 0.023091 Loss_D_real: -0.022531 Loss_D_fake 0.005647
[445/5000][375/535][45699] Loss_D: -0.028679 Loss_G: 0.014531 Loss_D_real: -0.025560 Loss_D_fake 0.003120
[445/5000][380/535][45700] Loss_D: -0.028277 Loss_G: 0.027574 Loss_D_real: -0.032181 Loss_D_fake -0.003905
[445/5000][385/535][45701] Loss_D: -0.027929 Loss_G: 0.005450 Loss_D_real: -0.006310 Loss_D_fake 0.021619
[445/5000][390/535][45702] Loss_D: -0.025684 Loss_G: -0.015655 Loss_D_real: 0.004054 Loss_D_fake 0.029738
[445/5000][395/535][45703] Loss_D: -0.027642 Loss_G: 0.028239 Loss_D_real: -0.030021 Loss_D_fake -0.002378
[445/5000][400/535][45704] Loss_D: -0.026976 Loss_G: -0.001730 Loss_D_real: -0.012679 Loss_D_fake 0.014296
[445/5000][405/535][45705] Loss_D: -0.027608 Loss_G: 0.006391 Loss_D_real: -0.008840 Loss_D_fake 0.018768
[445/5000][410/535][45706] Loss_D: -0.026745 Loss_G: -0.008784 Loss_D_real: 0.005948 Loss_D_fake 0.032693
[445/5000][415/535][45707] Loss_D: -0.028180 Loss_G: 0.016896 Loss_D_real: -0.011963 Loss_D_fake 0.016216
[445/5000][420/535][45708] Loss_D: -0.027001 Loss_G: -0.007480 Loss_D_real: 0.000367 Loss_D_fake 0.027368
[445/5000][425/535][45709] Loss_D: -0.028897 Loss_G: 0.022969 Loss_D_real: -0.023025 Loss_D_fake 0.005872
[445/5000][430/535][45710] Loss_D: -0.026411 Loss_G: 0.031616 Loss_D_real: -0.031971 Loss_D_fake -0.005561
[445/5000][435/535][45711] Loss_D: -0.027657 Loss_G: 0.027343 Loss_D_real: -0.033353 Loss_D_fake -0.005696
[445/5000][440/535][45712] Loss_D: -0.028475 Loss_G: 0.006124 Loss_D_real: -0.009336 Loss_D_fake 0.019139
[445/5000][445/535][45713] Loss_D: -0.026552 Loss_G: 0.006790 Loss_D_real: -0.005315 Loss_D_fake 0.021238
[445/5000][450/535][45714] Loss_D: -0.026772 Loss_G: 0.021459 Loss_D_real: -0.028570 Loss_D_fake -0.001799
[445/5000][455/535][45715] Loss_D: -0.029541 Loss_G: 0.021117 Loss_D_real: -0.016935 Loss_D_fake 0.012606
[445/5000][460/535][45716] Loss_D: -0.026674 Loss_G: 0.024140 Loss_D_real: -0.038016 Loss_D_fake -0.011341
[445/5000][465/535][45717] Loss_D: -0.027477 Loss_G: -0.001690 Loss_D_real: -0.017121 Loss_D_fake 0.010356
[445/5000][470/535][45718] Loss_D: -0.028422 Loss_G: 0.018446 Loss_D_real: -0.012754 Loss_D_fake 0.015668
[445/5000][475/535][45719] Loss_D: -0.028163 Loss_G: 0.006682 Loss_D_real: -0.016161 Loss_D_fake 0.012002
[445/5000][480/535][45720] Loss_D: -0.027617 Loss_G: 0.019476 Loss_D_real: -0.022282 Loss_D_fake 0.005335
[445/5000][485/535][45721] Loss_D: -0.026778 Loss_G: 0.019476 Loss_D_real: -0.013265 Loss_D_fake 0.013512
[445/5000][490/535][45722] Loss_D: -0.028132 Loss_G: -0.005942 Loss_D_real: -0.008838 Loss_D_fake 0.019294
[445/5000][495/535][45723] Loss_D: -0.025340 Loss_G: 0.007229 Loss_D_real: -0.022129 Loss_D_fake 0.003211
[445/5000][500/535][45724] Loss_D: -0.027231 Loss_G: 0.004130 Loss_D_real: -0.007696 Loss_D_fake 0.019535
[445/5000][505/535][45725] Loss_D: -0.027740 Loss_G: 0.019210 Loss_D_real: -0.017584 Loss_D_fake 0.010156
[445/5000][510/535][45726] Loss_D: -0.028487 Loss_G: 0.023121 Loss_D_real: -0.023551 Loss_D_fake 0.004936
[445/5000][515/535][45727] Loss_D: -0.027978 Loss_G: 0.008257 Loss_D_real: -0.017771 Loss_D_fake 0.010207
[445/5000][520/535][45728] Loss_D: -0.025166 Loss_G: 0.033535 Loss_D_real: -0.032785 Loss_D_fake -0.007618
[445/5000][525/535][45729] Loss_D: -0.028572 Loss_G: -0.012313 Loss_D_real: -0.003656 Loss_D_fake 0.024916
[445/5000][530/535][45730] Loss_D: -0.028029 Loss_G: 0.032638 Loss_D_real: -0.024301 Loss_D_fake 0.003728
[445/5000][535/535][45731] Loss_D: -0.025180 Loss_G: 0.022531 Loss_D_real: -0.029474 Loss_D_fake -0.004293
[446/5000][5/535][45732] Loss_D: -0.028277 Loss_G: 0.022544 Loss_D_real: -0.018818 Loss_D_fake 0.009459
[446/5000][10/535][45733] Loss_D: -0.027338 Loss_G: 0.017739 Loss_D_real: -0.018185 Loss_D_fake 0.009153
[446/5000][15/535][45734] Loss_D: -0.028120 Loss_G: 0.008402 Loss_D_real: -0.019402 Loss_D_fake 0.008718
[446/5000][20/535][45735] Loss_D: -0.029430 Loss_G: 0.010687 Loss_D_real: -0.015593 Loss_D_fake 0.013837
[446/5000][25/535][45736] Loss_D: -0.028667 Loss_G: -0.008730 Loss_D_real: -0.004567 Loss_D_fake 0.024099
[446/5000][30/535][45737] Loss_D: -0.027768 Loss_G: 0.004256 Loss_D_real: -0.000722 Loss_D_fake 0.027045
[446/5000][35/535][45738] Loss_D: -0.027765 Loss_G: 0.026088 Loss_D_real: -0.024935 Loss_D_fake 0.002829
[446/5000][40/535][45739] Loss_D: -0.027671 Loss_G: 0.023725 Loss_D_real: -0.020235 Loss_D_fake 0.007435
[446/5000][45/535][45740] Loss_D: -0.028969 Loss_G: 0.008697 Loss_D_real: -0.008091 Loss_D_fake 0.020878
[446/5000][50/535][45741] Loss_D: -0.028478 Loss_G: 0.017238 Loss_D_real: -0.015484 Loss_D_fake 0.012994
[446/5000][55/535][45742] Loss_D: -0.028096 Loss_G: 0.010639 Loss_D_real: -0.023747 Loss_D_fake 0.004349
[446/5000][60/535][45743] Loss_D: -0.028233 Loss_G: 0.019961 Loss_D_real: -0.016371 Loss_D_fake 0.011862
[446/5000][65/535][45744] Loss_D: -0.027704 Loss_G: 0.012913 Loss_D_real: -0.006733 Loss_D_fake 0.020971
[446/5000][70/535][45745] Loss_D: -0.028701 Loss_G: 0.018012 Loss_D_real: -0.014855 Loss_D_fake 0.013846
[446/5000][75/535][45746] Loss_D: -0.029273 Loss_G: 0.021919 Loss_D_real: -0.024025 Loss_D_fake 0.005248
[446/5000][80/535][45747] Loss_D: -0.029084 Loss_G: -0.009596 Loss_D_real: 0.002511 Loss_D_fake 0.031596
[446/5000][85/535][45748] Loss_D: -0.026915 Loss_G: 0.026208 Loss_D_real: -0.035301 Loss_D_fake -0.008386
[446/5000][90/535][45749] Loss_D: -0.027207 Loss_G: 0.030892 Loss_D_real: -0.037232 Loss_D_fake -0.010025
[446/5000][95/535][45750] Loss_D: -0.028845 Loss_G: 0.004831 Loss_D_real: -0.008758 Loss_D_fake 0.020087
[446/5000][100/535][45751] Loss_D: -0.028009 Loss_G: 0.027648 Loss_D_real: -0.025552 Loss_D_fake 0.002456
[446/5000][105/535][45752] Loss_D: -0.028255 Loss_G: 0.028238 Loss_D_real: -0.028048 Loss_D_fake 0.000207
[446/5000][110/535][45753] Loss_D: -0.028517 Loss_G: 0.030743 Loss_D_real: -0.024391 Loss_D_fake 0.004126
[446/5000][115/535][45754] Loss_D: -0.027846 Loss_G: 0.024285 Loss_D_real: -0.032309 Loss_D_fake -0.004463
[446/5000][120/535][45755] Loss_D: -0.027542 Loss_G: 0.029092 Loss_D_real: -0.032315 Loss_D_fake -0.004773
[446/5000][125/535][45756] Loss_D: -0.027211 Loss_G: 0.002725 Loss_D_real: -0.014062 Loss_D_fake 0.013148
[446/5000][130/535][45757] Loss_D: -0.025700 Loss_G: 0.030460 Loss_D_real: -0.031018 Loss_D_fake -0.005318
[446/5000][135/535][45758] Loss_D: -0.028068 Loss_G: 0.007180 Loss_D_real: -0.018665 Loss_D_fake 0.009403
[446/5000][140/535][45759] Loss_D: -0.026015 Loss_G: -0.003060 Loss_D_real: -0.003558 Loss_D_fake 0.022457
[446/5000][145/535][45760] Loss_D: -0.026323 Loss_G: 0.016974 Loss_D_real: -0.007915 Loss_D_fake 0.018408
[446/5000][150/535][45761] Loss_D: -0.027137 Loss_G: 0.014794 Loss_D_real: -0.010254 Loss_D_fake 0.016884
[446/5000][155/535][45762] Loss_D: -0.026260 Loss_G: 0.023360 Loss_D_real: -0.020593 Loss_D_fake 0.005667
[446/5000][160/535][45763] Loss_D: -0.027502 Loss_G: 0.016973 Loss_D_real: -0.024204 Loss_D_fake 0.003298
[446/5000][165/535][45764] Loss_D: -0.027588 Loss_G: 0.009667 Loss_D_real: -0.012995 Loss_D_fake 0.014594
[446/5000][170/535][45765] Loss_D: -0.027541 Loss_G: -0.002143 Loss_D_real: -0.006789 Loss_D_fake 0.020752
[446/5000][175/535][45766] Loss_D: -0.028831 Loss_G: 0.019865 Loss_D_real: -0.010362 Loss_D_fake 0.018469
[446/5000][180/535][45767] Loss_D: -0.028350 Loss_G: 0.001469 Loss_D_real: -0.009163 Loss_D_fake 0.019187
[446/5000][185/535][45768] Loss_D: -0.027881 Loss_G: 0.011373 Loss_D_real: -0.022991 Loss_D_fake 0.004890
[446/5000][190/535][45769] Loss_D: -0.028014 Loss_G: 0.035462 Loss_D_real: -0.029039 Loss_D_fake -0.001025
[446/5000][195/535][45770] Loss_D: -0.026935 Loss_G: -0.006307 Loss_D_real: -0.011784 Loss_D_fake 0.015150
[446/5000][200/535][45771] Loss_D: -0.029279 Loss_G: 0.018694 Loss_D_real: -0.023378 Loss_D_fake 0.005901
[446/5000][205/535][45772] Loss_D: -0.028894 Loss_G: 0.010833 Loss_D_real: -0.005244 Loss_D_fake 0.023650
[446/5000][210/535][45773] Loss_D: -0.028015 Loss_G: 0.025488 Loss_D_real: -0.022391 Loss_D_fake 0.005624
[446/5000][215/535][45774] Loss_D: -0.026885 Loss_G: 0.036509 Loss_D_real: -0.032726 Loss_D_fake -0.005842
[446/5000][220/535][45775] Loss_D: -0.027889 Loss_G: 0.006230 Loss_D_real: -0.019275 Loss_D_fake 0.008614
[446/5000][225/535][45776] Loss_D: -0.026777 Loss_G: -0.007967 Loss_D_real: -0.016430 Loss_D_fake 0.010347
[446/5000][230/535][45777] Loss_D: -0.025546 Loss_G: 0.026181 Loss_D_real: -0.020205 Loss_D_fake 0.005341
[446/5000][235/535][45778] Loss_D: -0.026578 Loss_G: 0.014351 Loss_D_real: -0.018527 Loss_D_fake 0.008052
[446/5000][240/535][45779] Loss_D: -0.028075 Loss_G: 0.000303 Loss_D_real: -0.012753 Loss_D_fake 0.015322
[446/5000][245/535][45780] Loss_D: -0.027341 Loss_G: 0.015384 Loss_D_real: -0.007674 Loss_D_fake 0.019667
[446/5000][250/535][45781] Loss_D: -0.027920 Loss_G: 0.021827 Loss_D_real: -0.020171 Loss_D_fake 0.007749
[446/5000][255/535][45782] Loss_D: -0.028079 Loss_G: 0.007136 Loss_D_real: -0.010637 Loss_D_fake 0.017442
[446/5000][260/535][45783] Loss_D: -0.026638 Loss_G: 0.034812 Loss_D_real: -0.027676 Loss_D_fake -0.001038
[446/5000][265/535][45784] Loss_D: -0.026622 Loss_G: 0.005668 Loss_D_real: -0.015166 Loss_D_fake 0.011456
[446/5000][270/535][45785] Loss_D: -0.027202 Loss_G: -0.001785 Loss_D_real: -0.010703 Loss_D_fake 0.016499
[446/5000][275/535][45786] Loss_D: -0.027681 Loss_G: 0.016237 Loss_D_real: -0.027714 Loss_D_fake -0.000033
[446/5000][280/535][45787] Loss_D: -0.026296 Loss_G: 0.032070 Loss_D_real: -0.025305 Loss_D_fake 0.000991
[446/5000][285/535][45788] Loss_D: -0.028015 Loss_G: 0.033418 Loss_D_real: -0.018346 Loss_D_fake 0.009669
[446/5000][290/535][45789] Loss_D: -0.027201 Loss_G: 0.017389 Loss_D_real: -0.009310 Loss_D_fake 0.017891
[446/5000][295/535][45790] Loss_D: -0.027977 Loss_G: 0.024803 Loss_D_real: -0.023474 Loss_D_fake 0.004503
[446/5000][300/535][45791] Loss_D: -0.027103 Loss_G: 0.028654 Loss_D_real: -0.033712 Loss_D_fake -0.006610
[446/5000][305/535][45792] Loss_D: -0.027651 Loss_G: -0.006684 Loss_D_real: -0.001121 Loss_D_fake 0.026529
[446/5000][310/535][45793] Loss_D: -0.028068 Loss_G: 0.007751 Loss_D_real: -0.021994 Loss_D_fake 0.006074
[446/5000][315/535][45794] Loss_D: -0.029707 Loss_G: 0.015496 Loss_D_real: -0.018038 Loss_D_fake 0.011669
[446/5000][320/535][45795] Loss_D: -0.028982 Loss_G: 0.005969 Loss_D_real: -0.011244 Loss_D_fake 0.017738
[446/5000][325/535][45796] Loss_D: -0.029014 Loss_G: -0.011399 Loss_D_real: 0.001871 Loss_D_fake 0.030885
[446/5000][330/535][45797] Loss_D: -0.026218 Loss_G: 0.025378 Loss_D_real: -0.031795 Loss_D_fake -0.005576
[446/5000][335/535][45798] Loss_D: -0.029165 Loss_G: 0.012366 Loss_D_real: -0.007707 Loss_D_fake 0.021458
[446/5000][340/535][45799] Loss_D: -0.027581 Loss_G: 0.013430 Loss_D_real: -0.014451 Loss_D_fake 0.013130
[446/5000][345/535][45800] Loss_D: -0.028579 Loss_G: 0.022375 Loss_D_real: -0.017903 Loss_D_fake 0.010677
[446/5000][350/535][45801] Loss_D: -0.027546 Loss_G: 0.024671 Loss_D_real: -0.027943 Loss_D_fake -0.000397
[446/5000][355/535][45802] Loss_D: -0.027414 Loss_G: 0.011665 Loss_D_real: -0.013230 Loss_D_fake 0.014183
[446/5000][360/535][45803] Loss_D: -0.027440 Loss_G: 0.022192 Loss_D_real: -0.027047 Loss_D_fake 0.000394
[446/5000][365/535][45804] Loss_D: -0.027760 Loss_G: 0.011019 Loss_D_real: -0.013689 Loss_D_fake 0.014071
[446/5000][370/535][45805] Loss_D: -0.028983 Loss_G: 0.011475 Loss_D_real: -0.014752 Loss_D_fake 0.014230
[446/5000][375/535][45806] Loss_D: -0.028025 Loss_G: 0.026062 Loss_D_real: -0.029458 Loss_D_fake -0.001432
[446/5000][380/535][45807] Loss_D: -0.027077 Loss_G: 0.010412 Loss_D_real: -0.013409 Loss_D_fake 0.013668
[446/5000][385/535][45808] Loss_D: -0.026387 Loss_G: 0.028334 Loss_D_real: -0.032981 Loss_D_fake -0.006594
[446/5000][390/535][45809] Loss_D: -0.027775 Loss_G: 0.030916 Loss_D_real: -0.029937 Loss_D_fake -0.002162
[446/5000][395/535][45810] Loss_D: -0.027338 Loss_G: -0.003788 Loss_D_real: 0.001269 Loss_D_fake 0.028607
[446/5000][400/535][45811] Loss_D: -0.028143 Loss_G: 0.005742 Loss_D_real: -0.011593 Loss_D_fake 0.016550
[446/5000][405/535][45812] Loss_D: -0.028313 Loss_G: 0.026231 Loss_D_real: -0.021100 Loss_D_fake 0.007213
[446/5000][410/535][45813] Loss_D: -0.027939 Loss_G: 0.002247 Loss_D_real: -0.003074 Loss_D_fake 0.024864
[446/5000][415/535][45814] Loss_D: -0.028192 Loss_G: 0.003646 Loss_D_real: -0.017866 Loss_D_fake 0.010326
[446/5000][420/535][45815] Loss_D: -0.027343 Loss_G: -0.009277 Loss_D_real: -0.003969 Loss_D_fake 0.023374
[446/5000][425/535][45816] Loss_D: -0.026311 Loss_G: 0.010893 Loss_D_real: -0.012465 Loss_D_fake 0.013846
[446/5000][430/535][45817] Loss_D: -0.028685 Loss_G: 0.012967 Loss_D_real: -0.017304 Loss_D_fake 0.011381
[446/5000][435/535][45818] Loss_D: -0.026682 Loss_G: -0.009539 Loss_D_real: 0.002147 Loss_D_fake 0.028829
[446/5000][440/535][45819] Loss_D: -0.026437 Loss_G: 0.030703 Loss_D_real: -0.020380 Loss_D_fake 0.006057
[446/5000][445/535][45820] Loss_D: -0.027540 Loss_G: 0.032407 Loss_D_real: -0.028113 Loss_D_fake -0.000573
[446/5000][450/535][45821] Loss_D: -0.028936 Loss_G: 0.010962 Loss_D_real: -0.006598 Loss_D_fake 0.022338
[446/5000][455/535][45822] Loss_D: -0.026858 Loss_G: 0.031183 Loss_D_real: -0.032717 Loss_D_fake -0.005860
[446/5000][460/535][45823] Loss_D: -0.029449 Loss_G: 0.014624 Loss_D_real: -0.027011 Loss_D_fake 0.002438
[446/5000][465/535][45824] Loss_D: -0.027624 Loss_G: 0.007119 Loss_D_real: -0.007175 Loss_D_fake 0.020449
[446/5000][470/535][45825] Loss_D: -0.026954 Loss_G: -0.014447 Loss_D_real: -0.008342 Loss_D_fake 0.018612
[446/5000][475/535][45826] Loss_D: -0.026572 Loss_G: 0.032282 Loss_D_real: -0.036878 Loss_D_fake -0.010306
[446/5000][480/535][45827] Loss_D: -0.029151 Loss_G: 0.011361 Loss_D_real: -0.017528 Loss_D_fake 0.011623
[446/5000][485/535][45828] Loss_D: -0.027073 Loss_G: 0.030091 Loss_D_real: -0.022060 Loss_D_fake 0.005014
[446/5000][490/535][45829] Loss_D: -0.028676 Loss_G: 0.000611 Loss_D_real: -0.004843 Loss_D_fake 0.023833
[446/5000][495/535][45830] Loss_D: -0.027764 Loss_G: -0.003276 Loss_D_real: -0.003565 Loss_D_fake 0.024199
[446/5000][500/535][45831] Loss_D: -0.027339 Loss_G: 0.024573 Loss_D_real: -0.028483 Loss_D_fake -0.001145
[446/5000][505/535][45832] Loss_D: -0.028216 Loss_G: -0.000133 Loss_D_real: -0.005818 Loss_D_fake 0.022397
[446/5000][510/535][45833] Loss_D: -0.026799 Loss_G: 0.020239 Loss_D_real: -0.019393 Loss_D_fake 0.007406
[446/5000][515/535][45834] Loss_D: -0.028083 Loss_G: 0.024818 Loss_D_real: -0.019235 Loss_D_fake 0.008848
[446/5000][520/535][45835] Loss_D: -0.027162 Loss_G: -0.004325 Loss_D_real: -0.001786 Loss_D_fake 0.025376
[446/5000][525/535][45836] Loss_D: -0.026593 Loss_G: 0.023945 Loss_D_real: -0.033240 Loss_D_fake -0.006647
[446/5000][530/535][45837] Loss_D: -0.027898 Loss_G: 0.013471 Loss_D_real: -0.019491 Loss_D_fake 0.008407
[446/5000][535/535][45838] Loss_D: -0.030410 Loss_G: 0.012277 Loss_D_real: -0.021559 Loss_D_fake 0.008851
[447/5000][5/535][45839] Loss_D: -0.028073 Loss_G: 0.025645 Loss_D_real: -0.029960 Loss_D_fake -0.001887
[447/5000][10/535][45840] Loss_D: -0.027374 Loss_G: 0.006368 Loss_D_real: -0.008953 Loss_D_fake 0.018421
[447/5000][15/535][45841] Loss_D: -0.026437 Loss_G: 0.028123 Loss_D_real: -0.015625 Loss_D_fake 0.010813
[447/5000][20/535][45842] Loss_D: -0.026577 Loss_G: 0.026659 Loss_D_real: -0.019982 Loss_D_fake 0.006595
[447/5000][25/535][45843] Loss_D: -0.026319 Loss_G: 0.027389 Loss_D_real: -0.020619 Loss_D_fake 0.005701
[447/5000][30/535][45844] Loss_D: -0.026615 Loss_G: 0.018719 Loss_D_real: -0.020980 Loss_D_fake 0.005635
[447/5000][35/535][45845] Loss_D: -0.029204 Loss_G: 0.008484 Loss_D_real: -0.017784 Loss_D_fake 0.011420
[447/5000][40/535][45846] Loss_D: -0.027907 Loss_G: 0.035894 Loss_D_real: -0.039314 Loss_D_fake -0.011407
[447/5000][45/535][45847] Loss_D: -0.027203 Loss_G: -0.011011 Loss_D_real: 0.011138 Loss_D_fake 0.038341
[447/5000][50/535][45848] Loss_D: -0.027775 Loss_G: 0.027511 Loss_D_real: -0.024110 Loss_D_fake 0.003665
[447/5000][55/535][45849] Loss_D: -0.029797 Loss_G: 0.010033 Loss_D_real: -0.017829 Loss_D_fake 0.011968
[447/5000][60/535][45850] Loss_D: -0.028899 Loss_G: 0.002260 Loss_D_real: -0.009751 Loss_D_fake 0.019148
[447/5000][65/535][45851] Loss_D: -0.028814 Loss_G: 0.019346 Loss_D_real: -0.012100 Loss_D_fake 0.016714
[447/5000][70/535][45852] Loss_D: -0.028054 Loss_G: 0.006866 Loss_D_real: -0.010444 Loss_D_fake 0.017610
[447/5000][75/535][45853] Loss_D: -0.027810 Loss_G: 0.019020 Loss_D_real: -0.014611 Loss_D_fake 0.013199
[447/5000][80/535][45854] Loss_D: -0.029029 Loss_G: -0.009862 Loss_D_real: 0.005776 Loss_D_fake 0.034806
[447/5000][85/535][45855] Loss_D: -0.026306 Loss_G: -0.007272 Loss_D_real: -0.011050 Loss_D_fake 0.015255
[447/5000][90/535][45856] Loss_D: -0.028040 Loss_G: 0.023695 Loss_D_real: -0.018402 Loss_D_fake 0.009639
[447/5000][95/535][45857] Loss_D: -0.028114 Loss_G: 0.013382 Loss_D_real: -0.018156 Loss_D_fake 0.009958
[447/5000][100/535][45858] Loss_D: -0.027867 Loss_G: 0.010069 Loss_D_real: -0.016908 Loss_D_fake 0.010959
[447/5000][105/535][45859] Loss_D: -0.028048 Loss_G: 0.003943 Loss_D_real: -0.011145 Loss_D_fake 0.016903
[447/5000][110/535][45860] Loss_D: -0.026607 Loss_G: 0.022609 Loss_D_real: -0.012215 Loss_D_fake 0.014392
[447/5000][115/535][45861] Loss_D: -0.028018 Loss_G: -0.001091 Loss_D_real: -0.014425 Loss_D_fake 0.013593
[447/5000][120/535][45862] Loss_D: -0.029135 Loss_G: 0.016835 Loss_D_real: -0.015983 Loss_D_fake 0.013152
[447/5000][125/535][45863] Loss_D: -0.028653 Loss_G: 0.010028 Loss_D_real: -0.018685 Loss_D_fake 0.009968
[447/5000][130/535][45864] Loss_D: -0.028385 Loss_G: 0.015624 Loss_D_real: -0.017066 Loss_D_fake 0.011319
[447/5000][135/535][45865] Loss_D: -0.028340 Loss_G: 0.000682 Loss_D_real: -0.004922 Loss_D_fake 0.023418
[447/5000][140/535][45866] Loss_D: -0.027901 Loss_G: 0.032312 Loss_D_real: -0.021320 Loss_D_fake 0.006581
[447/5000][145/535][45867] Loss_D: -0.026489 Loss_G: 0.011263 Loss_D_real: -0.007850 Loss_D_fake 0.018639
[447/5000][150/535][45868] Loss_D: -0.027040 Loss_G: 0.027997 Loss_D_real: -0.020854 Loss_D_fake 0.006187
[447/5000][155/535][45869] Loss_D: -0.027859 Loss_G: -0.007571 Loss_D_real: -0.011825 Loss_D_fake 0.016034
[447/5000][160/535][45870] Loss_D: -0.027080 Loss_G: 0.031322 Loss_D_real: -0.031691 Loss_D_fake -0.004611
[447/5000][165/535][45871] Loss_D: -0.027667 Loss_G: -0.002202 Loss_D_real: -0.000962 Loss_D_fake 0.026704
[447/5000][170/535][45872] Loss_D: -0.027483 Loss_G: 0.026378 Loss_D_real: -0.026060 Loss_D_fake 0.001424
[447/5000][175/535][45873] Loss_D: -0.027636 Loss_G: -0.004149 Loss_D_real: -0.010153 Loss_D_fake 0.017483
[447/5000][180/535][45874] Loss_D: -0.026155 Loss_G: 0.028336 Loss_D_real: -0.028607 Loss_D_fake -0.002452
[447/5000][185/535][45875] Loss_D: -0.028114 Loss_G: -0.001591 Loss_D_real: 0.001336 Loss_D_fake 0.029450
[447/5000][190/535][45876] Loss_D: -0.026833 Loss_G: 0.025832 Loss_D_real: -0.032923 Loss_D_fake -0.006090
[447/5000][195/535][45877] Loss_D: -0.027502 Loss_G: 0.009683 Loss_D_real: -0.017187 Loss_D_fake 0.010314
[447/5000][200/535][45878] Loss_D: -0.028049 Loss_G: 0.023823 Loss_D_real: -0.015955 Loss_D_fake 0.012094
[447/5000][205/535][45879] Loss_D: -0.027274 Loss_G: 0.002589 Loss_D_real: -0.002805 Loss_D_fake 0.024469
[447/5000][210/535][45880] Loss_D: -0.027421 Loss_G: 0.023351 Loss_D_real: -0.031502 Loss_D_fake -0.004081
[447/5000][215/535][45881] Loss_D: -0.028315 Loss_G: 0.006470 Loss_D_real: -0.016043 Loss_D_fake 0.012272
[447/5000][220/535][45882] Loss_D: -0.028270 Loss_G: 0.021513 Loss_D_real: -0.021350 Loss_D_fake 0.006920
[447/5000][225/535][45883] Loss_D: -0.027668 Loss_G: -0.003378 Loss_D_real: -0.004414 Loss_D_fake 0.023254
[447/5000][230/535][45884] Loss_D: -0.028308 Loss_G: 0.024390 Loss_D_real: -0.019521 Loss_D_fake 0.008787
[447/5000][235/535][45885] Loss_D: -0.027435 Loss_G: 0.013424 Loss_D_real: -0.023899 Loss_D_fake 0.003536
[447/5000][240/535][45886] Loss_D: -0.026356 Loss_G: -0.008979 Loss_D_real: 0.004967 Loss_D_fake 0.031323
[447/5000][245/535][45887] Loss_D: -0.026704 Loss_G: 0.039241 Loss_D_real: -0.030275 Loss_D_fake -0.003571
[447/5000][250/535][45888] Loss_D: -0.027197 Loss_G: -0.006962 Loss_D_real: 0.000602 Loss_D_fake 0.027800
[447/5000][255/535][45889] Loss_D: -0.026838 Loss_G: 0.025509 Loss_D_real: -0.014287 Loss_D_fake 0.012551
[447/5000][260/535][45890] Loss_D: -0.027659 Loss_G: 0.012818 Loss_D_real: -0.020325 Loss_D_fake 0.007334
[447/5000][265/535][45891] Loss_D: -0.028859 Loss_G: 0.011322 Loss_D_real: -0.022941 Loss_D_fake 0.005918
[447/5000][270/535][45892] Loss_D: -0.028347 Loss_G: 0.024581 Loss_D_real: -0.020817 Loss_D_fake 0.007531
[447/5000][275/535][45893] Loss_D: -0.027856 Loss_G: -0.001979 Loss_D_real: -0.008475 Loss_D_fake 0.019381
[447/5000][280/535][45894] Loss_D: -0.027205 Loss_G: 0.028320 Loss_D_real: -0.037418 Loss_D_fake -0.010213
[447/5000][285/535][45895] Loss_D: -0.029211 Loss_G: 0.000317 Loss_D_real: -0.010670 Loss_D_fake 0.018540
[447/5000][290/535][45896] Loss_D: -0.027666 Loss_G: 0.037441 Loss_D_real: -0.034754 Loss_D_fake -0.007088
[447/5000][295/535][45897] Loss_D: -0.027236 Loss_G: -0.010705 Loss_D_real: -0.004710 Loss_D_fake 0.022525
[447/5000][300/535][45898] Loss_D: -0.027535 Loss_G: 0.001024 Loss_D_real: -0.018102 Loss_D_fake 0.009433
[447/5000][305/535][45899] Loss_D: -0.027872 Loss_G: -0.008300 Loss_D_real: 0.004465 Loss_D_fake 0.032337
[447/5000][310/535][45900] Loss_D: -0.026744 Loss_G: 0.029208 Loss_D_real: -0.028174 Loss_D_fake -0.001430
[447/5000][315/535][45901] Loss_D: -0.026958 Loss_G: 0.009536 Loss_D_real: -0.021960 Loss_D_fake 0.004998
[447/5000][320/535][45902] Loss_D: -0.028644 Loss_G: 0.017844 Loss_D_real: -0.017986 Loss_D_fake 0.010658
[447/5000][325/535][45903] Loss_D: -0.027362 Loss_G: 0.035273 Loss_D_real: -0.040992 Loss_D_fake -0.013629
[447/5000][330/535][45904] Loss_D: -0.028112 Loss_G: 0.018174 Loss_D_real: -0.012443 Loss_D_fake 0.015669
[447/5000][335/535][45905] Loss_D: -0.027749 Loss_G: 0.022216 Loss_D_real: -0.024914 Loss_D_fake 0.002835
[447/5000][340/535][45906] Loss_D: -0.028696 Loss_G: 0.027415 Loss_D_real: -0.028914 Loss_D_fake -0.000219
[447/5000][345/535][45907] Loss_D: -0.028658 Loss_G: 0.009320 Loss_D_real: -0.012711 Loss_D_fake 0.015947
[447/5000][350/535][45908] Loss_D: -0.027708 Loss_G: 0.028552 Loss_D_real: -0.023390 Loss_D_fake 0.004318
[447/5000][355/535][45909] Loss_D: -0.028651 Loss_G: 0.011502 Loss_D_real: -0.016066 Loss_D_fake 0.012585
[447/5000][360/535][45910] Loss_D: -0.026438 Loss_G: 0.032171 Loss_D_real: -0.034059 Loss_D_fake -0.007621
[447/5000][365/535][45911] Loss_D: -0.028442 Loss_G: 0.007682 Loss_D_real: -0.018533 Loss_D_fake 0.009909
[447/5000][370/535][45912] Loss_D: -0.027084 Loss_G: 0.023249 Loss_D_real: -0.022540 Loss_D_fake 0.004544
[447/5000][375/535][45913] Loss_D: -0.028254 Loss_G: -0.017111 Loss_D_real: -0.005830 Loss_D_fake 0.022424
[447/5000][380/535][45914] Loss_D: -0.026661 Loss_G: 0.001148 Loss_D_real: -0.006204 Loss_D_fake 0.020457
[447/5000][385/535][45915] Loss_D: -0.026513 Loss_G: 0.030849 Loss_D_real: -0.028334 Loss_D_fake -0.001822
[447/5000][390/535][45916] Loss_D: -0.027614 Loss_G: 0.001518 Loss_D_real: -0.016793 Loss_D_fake 0.010821
[447/5000][395/535][45917] Loss_D: -0.026838 Loss_G: 0.003979 Loss_D_real: -0.008126 Loss_D_fake 0.018711
[447/5000][400/535][45918] Loss_D: -0.027768 Loss_G: 0.009275 Loss_D_real: -0.008781 Loss_D_fake 0.018987
[447/5000][405/535][45919] Loss_D: -0.029378 Loss_G: 0.022488 Loss_D_real: -0.023020 Loss_D_fake 0.006358
[447/5000][410/535][45920] Loss_D: -0.027703 Loss_G: 0.005613 Loss_D_real: -0.016873 Loss_D_fake 0.010830
[447/5000][415/535][45921] Loss_D: -0.028033 Loss_G: 0.016191 Loss_D_real: -0.027717 Loss_D_fake 0.000316
[447/5000][420/535][45922] Loss_D: -0.027608 Loss_G: 0.015481 Loss_D_real: -0.028873 Loss_D_fake -0.001265
[447/5000][425/535][45923] Loss_D: -0.029380 Loss_G: 0.013873 Loss_D_real: -0.013686 Loss_D_fake 0.015694
[447/5000][430/535][45924] Loss_D: -0.027834 Loss_G: 0.019126 Loss_D_real: -0.022652 Loss_D_fake 0.005182
[447/5000][435/535][45925] Loss_D: -0.026245 Loss_G: -0.012430 Loss_D_real: -0.001321 Loss_D_fake 0.024924
[447/5000][440/535][45926] Loss_D: -0.027228 Loss_G: 0.013101 Loss_D_real: -0.025327 Loss_D_fake 0.001901
[447/5000][445/535][45927] Loss_D: -0.028460 Loss_G: 0.003880 Loss_D_real: -0.016725 Loss_D_fake 0.011735
[447/5000][450/535][45928] Loss_D: -0.027497 Loss_G: 0.037633 Loss_D_real: -0.040006 Loss_D_fake -0.012509
[447/5000][455/535][45929] Loss_D: -0.029189 Loss_G: 0.012547 Loss_D_real: -0.025847 Loss_D_fake 0.003342
[447/5000][460/535][45930] Loss_D: -0.028938 Loss_G: 0.022707 Loss_D_real: -0.023837 Loss_D_fake 0.005101
[447/5000][465/535][45931] Loss_D: -0.028101 Loss_G: -0.005447 Loss_D_real: -0.008301 Loss_D_fake 0.019799
[447/5000][470/535][45932] Loss_D: -0.028759 Loss_G: 0.014196 Loss_D_real: -0.009830 Loss_D_fake 0.018929
[447/5000][475/535][45933] Loss_D: -0.026660 Loss_G: 0.024385 Loss_D_real: -0.029700 Loss_D_fake -0.003039
[447/5000][480/535][45934] Loss_D: -0.028881 Loss_G: 0.029457 Loss_D_real: -0.030034 Loss_D_fake -0.001153
[447/5000][485/535][45935] Loss_D: -0.027220 Loss_G: 0.002309 Loss_D_real: 0.002123 Loss_D_fake 0.029343
[447/5000][490/535][45936] Loss_D: -0.028039 Loss_G: 0.016480 Loss_D_real: -0.018099 Loss_D_fake 0.009940
[447/5000][495/535][45937] Loss_D: -0.030051 Loss_G: 0.015919 Loss_D_real: -0.028808 Loss_D_fake 0.001243
[447/5000][500/535][45938] Loss_D: -0.027683 Loss_G: 0.000296 Loss_D_real: -0.008277 Loss_D_fake 0.019406
[447/5000][505/535][45939] Loss_D: -0.027094 Loss_G: 0.026989 Loss_D_real: -0.022810 Loss_D_fake 0.004285
[447/5000][510/535][45940] Loss_D: -0.028650 Loss_G: 0.005681 Loss_D_real: -0.010588 Loss_D_fake 0.018062
[447/5000][515/535][45941] Loss_D: -0.026200 Loss_G: 0.004642 Loss_D_real: -0.013313 Loss_D_fake 0.012888
[447/5000][520/535][45942] Loss_D: -0.028142 Loss_G: 0.013625 Loss_D_real: -0.012872 Loss_D_fake 0.015271
[447/5000][525/535][45943] Loss_D: -0.028259 Loss_G: 0.007928 Loss_D_real: -0.004666 Loss_D_fake 0.023593
[447/5000][530/535][45944] Loss_D: -0.028709 Loss_G: 0.022717 Loss_D_real: -0.030131 Loss_D_fake -0.001421
[447/5000][535/535][45945] Loss_D: -0.028044 Loss_G: 0.016798 Loss_D_real: -0.000134 Loss_D_fake 0.027911
[448/5000][5/535][45946] Loss_D: -0.027272 Loss_G: 0.010262 Loss_D_real: -0.011011 Loss_D_fake 0.016261
[448/5000][10/535][45947] Loss_D: -0.028448 Loss_G: 0.020036 Loss_D_real: -0.025156 Loss_D_fake 0.003293
[448/5000][15/535][45948] Loss_D: -0.028247 Loss_G: 0.000406 Loss_D_real: -0.010950 Loss_D_fake 0.017296
[448/5000][20/535][45949] Loss_D: -0.027419 Loss_G: 0.019816 Loss_D_real: -0.018720 Loss_D_fake 0.008699
[448/5000][25/535][45950] Loss_D: -0.027315 Loss_G: -0.000257 Loss_D_real: -0.002223 Loss_D_fake 0.025093
[448/5000][30/535][45951] Loss_D: -0.027869 Loss_G: 0.021833 Loss_D_real: -0.018457 Loss_D_fake 0.009412
[448/5000][35/535][45952] Loss_D: -0.027740 Loss_G: 0.006154 Loss_D_real: -0.007806 Loss_D_fake 0.019934
[448/5000][40/535][45953] Loss_D: -0.028062 Loss_G: 0.009060 Loss_D_real: -0.014686 Loss_D_fake 0.013377
[448/5000][45/535][45954] Loss_D: -0.027238 Loss_G: 0.024441 Loss_D_real: -0.030214 Loss_D_fake -0.002976
[448/5000][50/535][45955] Loss_D: -0.028753 Loss_G: 0.017455 Loss_D_real: -0.020479 Loss_D_fake 0.008274
[448/5000][55/535][45956] Loss_D: -0.027038 Loss_G: -0.007411 Loss_D_real: -0.007428 Loss_D_fake 0.019610
[448/5000][60/535][45957] Loss_D: -0.026846 Loss_G: 0.015788 Loss_D_real: -0.032059 Loss_D_fake -0.005213
[448/5000][65/535][45958] Loss_D: -0.028551 Loss_G: 0.012751 Loss_D_real: -0.015543 Loss_D_fake 0.013008
[448/5000][70/535][45959] Loss_D: -0.025978 Loss_G: 0.047851 Loss_D_real: -0.034852 Loss_D_fake -0.008874
[448/5000][75/535][45960] Loss_D: -0.027610 Loss_G: 0.010147 Loss_D_real: -0.011206 Loss_D_fake 0.016403
[448/5000][80/535][45961] Loss_D: -0.027875 Loss_G: 0.017040 Loss_D_real: -0.010864 Loss_D_fake 0.017011
[448/5000][85/535][45962] Loss_D: -0.025780 Loss_G: -0.026021 Loss_D_real: -0.000209 Loss_D_fake 0.025571
[448/5000][90/535][45963] Loss_D: -0.026557 Loss_G: 0.010307 Loss_D_real: -0.017091 Loss_D_fake 0.009466
[448/5000][95/535][45964] Loss_D: -0.028072 Loss_G: 0.011442 Loss_D_real: -0.018088 Loss_D_fake 0.009984
[448/5000][100/535][45965] Loss_D: -0.029310 Loss_G: 0.007475 Loss_D_real: -0.006980 Loss_D_fake 0.022330
[448/5000][105/535][45966] Loss_D: -0.026987 Loss_G: 0.028037 Loss_D_real: -0.024151 Loss_D_fake 0.002836
[448/5000][110/535][45967] Loss_D: -0.026166 Loss_G: 0.032363 Loss_D_real: -0.032176 Loss_D_fake -0.006010
[448/5000][115/535][45968] Loss_D: -0.028465 Loss_G: 0.033081 Loss_D_real: -0.023552 Loss_D_fake 0.004913
[448/5000][120/535][45969] Loss_D: -0.029146 Loss_G: 0.008512 Loss_D_real: -0.015384 Loss_D_fake 0.013762
[448/5000][125/535][45970] Loss_D: -0.027476 Loss_G: 0.016789 Loss_D_real: -0.017034 Loss_D_fake 0.010442
[448/5000][130/535][45971] Loss_D: -0.027940 Loss_G: 0.028753 Loss_D_real: -0.033475 Loss_D_fake -0.005535
[448/5000][135/535][45972] Loss_D: -0.027184 Loss_G: 0.029872 Loss_D_real: -0.028480 Loss_D_fake -0.001296
[448/5000][140/535][45973] Loss_D: -0.027714 Loss_G: 0.024125 Loss_D_real: -0.017129 Loss_D_fake 0.010585
[448/5000][145/535][45974] Loss_D: -0.027534 Loss_G: 0.011204 Loss_D_real: -0.017835 Loss_D_fake 0.009698
[448/5000][150/535][45975] Loss_D: -0.026794 Loss_G: 0.019293 Loss_D_real: -0.021840 Loss_D_fake 0.004954
[448/5000][155/535][45976] Loss_D: -0.029207 Loss_G: 0.019161 Loss_D_real: -0.020544 Loss_D_fake 0.008664
[448/5000][160/535][45977] Loss_D: -0.028242 Loss_G: 0.012257 Loss_D_real: -0.025140 Loss_D_fake 0.003102
[448/5000][165/535][45978] Loss_D: -0.026865 Loss_G: 0.016052 Loss_D_real: -0.019984 Loss_D_fake 0.006880
[448/5000][170/535][45979] Loss_D: -0.026269 Loss_G: 0.028165 Loss_D_real: -0.027065 Loss_D_fake -0.000796
[448/5000][175/535][45980] Loss_D: -0.027895 Loss_G: 0.028072 Loss_D_real: -0.026737 Loss_D_fake 0.001158
[448/5000][180/535][45981] Loss_D: -0.028477 Loss_G: 0.013127 Loss_D_real: -0.013619 Loss_D_fake 0.014858
[448/5000][185/535][45982] Loss_D: -0.028066 Loss_G: 0.015772 Loss_D_real: -0.021326 Loss_D_fake 0.006740
[448/5000][190/535][45983] Loss_D: -0.026154 Loss_G: 0.038198 Loss_D_real: -0.039443 Loss_D_fake -0.013289
[448/5000][195/535][45984] Loss_D: -0.027865 Loss_G: 0.010338 Loss_D_real: -0.006866 Loss_D_fake 0.020999
[448/5000][200/535][45985] Loss_D: -0.027022 Loss_G: 0.000231 Loss_D_real: -0.001353 Loss_D_fake 0.025669
[448/5000][205/535][45986] Loss_D: -0.028328 Loss_G: -0.004559 Loss_D_real: -0.017571 Loss_D_fake 0.010757
[448/5000][210/535][45987] Loss_D: -0.027394 Loss_G: 0.034093 Loss_D_real: -0.037415 Loss_D_fake -0.010021
[448/5000][215/535][45988] Loss_D: -0.027828 Loss_G: 0.031277 Loss_D_real: -0.027795 Loss_D_fake 0.000033
[448/5000][220/535][45989] Loss_D: -0.027876 Loss_G: 0.015968 Loss_D_real: -0.017670 Loss_D_fake 0.010206
[448/5000][225/535][45990] Loss_D: -0.026820 Loss_G: 0.002056 Loss_D_real: -0.013105 Loss_D_fake 0.013715
[448/5000][230/535][45991] Loss_D: -0.025621 Loss_G: 0.034965 Loss_D_real: -0.037477 Loss_D_fake -0.011856
[448/5000][235/535][45992] Loss_D: -0.027762 Loss_G: 0.014609 Loss_D_real: -0.019727 Loss_D_fake 0.008035
[448/5000][240/535][45993] Loss_D: -0.027378 Loss_G: 0.020788 Loss_D_real: -0.028314 Loss_D_fake -0.000936
[448/5000][245/535][45994] Loss_D: -0.026699 Loss_G: -0.013092 Loss_D_real: 0.002198 Loss_D_fake 0.028897
[448/5000][250/535][45995] Loss_D: -0.027704 Loss_G: 0.022908 Loss_D_real: -0.021642 Loss_D_fake 0.006062
[448/5000][255/535][45996] Loss_D: -0.027427 Loss_G: 0.010273 Loss_D_real: -0.020073 Loss_D_fake 0.007354
[448/5000][260/535][45997] Loss_D: -0.027272 Loss_G: 0.022245 Loss_D_real: -0.029034 Loss_D_fake -0.001762
[448/5000][265/535][45998] Loss_D: -0.027563 Loss_G: 0.009500 Loss_D_real: -0.013372 Loss_D_fake 0.014191
[448/5000][270/535][45999] Loss_D: -0.027645 Loss_G: 0.012720 Loss_D_real: -0.013196 Loss_D_fake 0.014449
[448/5000][275/535][46000] Loss_D: -0.025929 Loss_G: 0.008750 Loss_D_real: -0.014621 Loss_D_fake 0.011309
[448/5000][375/535][46001] Loss_D: -0.027108 Loss_G: 0.014331 Loss_D_real: -0.014390 Loss_D_fake 0.012718
[448/5000][380/535][46002] Loss_D: -0.025207 Loss_G: 0.023682 Loss_D_real: -0.014726 Loss_D_fake 0.010481
[448/5000][385/535][46003] Loss_D: -0.026257 Loss_G: -0.001272 Loss_D_real: -0.001975 Loss_D_fake 0.024282
[448/5000][390/535][46004] Loss_D: -0.026376 Loss_G: 0.011368 Loss_D_real: -0.017446 Loss_D_fake 0.008930
[448/5000][395/535][46005] Loss_D: -0.026609 Loss_G: 0.008596 Loss_D_real: -0.014891 Loss_D_fake 0.011717
[448/5000][400/535][46006] Loss_D: -0.027198 Loss_G: 0.043849 Loss_D_real: -0.038319 Loss_D_fake -0.011121
[448/5000][405/535][46007] Loss_D: -0.027213 Loss_G: 0.001579 Loss_D_real: -0.006645 Loss_D_fake 0.020568
[448/5000][410/535][46008] Loss_D: -0.025885 Loss_G: 0.011288 Loss_D_real: -0.026594 Loss_D_fake -0.000709
[448/5000][415/535][46009] Loss_D: -0.026787 Loss_G: -0.008519 Loss_D_real: -0.000236 Loss_D_fake 0.026551
[448/5000][420/535][46010] Loss_D: -0.026993 Loss_G: 0.012172 Loss_D_real: -0.017318 Loss_D_fake 0.009676
[448/5000][425/535][46011] Loss_D: -0.026279 Loss_G: 0.038513 Loss_D_real: -0.032232 Loss_D_fake -0.005953
[448/5000][430/535][46012] Loss_D: -0.025870 Loss_G: -0.010584 Loss_D_real: 0.000695 Loss_D_fake 0.026565
[448/5000][435/535][46013] Loss_D: -0.025756 Loss_G: 0.002983 Loss_D_real: -0.022597 Loss_D_fake 0.003159
[448/5000][440/535][46014] Loss_D: -0.027048 Loss_G: 0.017076 Loss_D_real: -0.014679 Loss_D_fake 0.012369
[448/5000][445/535][46015] Loss_D: -0.027620 Loss_G: 0.018475 Loss_D_real: -0.017052 Loss_D_fake 0.010568
[448/5000][450/535][46016] Loss_D: -0.026644 Loss_G: 0.021146 Loss_D_real: -0.027687 Loss_D_fake -0.001043
[448/5000][455/535][46017] Loss_D: -0.026747 Loss_G: 0.023584 Loss_D_real: -0.024127 Loss_D_fake 0.002620
[448/5000][460/535][46018] Loss_D: -0.029247 Loss_G: 0.002951 Loss_D_real: -0.008521 Loss_D_fake 0.020726
[448/5000][465/535][46019] Loss_D: -0.026296 Loss_G: 0.027145 Loss_D_real: -0.029479 Loss_D_fake -0.003183
[448/5000][470/535][46020] Loss_D: -0.026387 Loss_G: 0.040733 Loss_D_real: -0.035333 Loss_D_fake -0.008946
[448/5000][475/535][46021] Loss_D: -0.027873 Loss_G: 0.018474 Loss_D_real: -0.019409 Loss_D_fake 0.008464
[448/5000][480/535][46022] Loss_D: -0.028488 Loss_G: 0.037250 Loss_D_real: -0.028885 Loss_D_fake -0.000397
[448/5000][485/535][46023] Loss_D: -0.025857 Loss_G: -0.011025 Loss_D_real: 0.002520 Loss_D_fake 0.028377
[448/5000][490/535][46024] Loss_D: -0.026249 Loss_G: 0.028722 Loss_D_real: -0.025102 Loss_D_fake 0.001146
[448/5000][495/535][46025] Loss_D: -0.027767 Loss_G: 0.006186 Loss_D_real: -0.014334 Loss_D_fake 0.013433
[448/5000][500/535][46026] Loss_D: -0.025394 Loss_G: 0.019065 Loss_D_real: -0.031086 Loss_D_fake -0.005692
[448/5000][505/535][46027] Loss_D: -0.028464 Loss_G: 0.011607 Loss_D_real: -0.028505 Loss_D_fake -0.000041
[448/5000][510/535][46028] Loss_D: -0.027052 Loss_G: 0.022292 Loss_D_real: -0.021115 Loss_D_fake 0.005937
[448/5000][515/535][46029] Loss_D: -0.027474 Loss_G: 0.006821 Loss_D_real: -0.007028 Loss_D_fake 0.020446
[448/5000][520/535][46030] Loss_D: -0.028402 Loss_G: 0.029281 Loss_D_real: -0.015141 Loss_D_fake 0.013262
[448/5000][525/535][46031] Loss_D: -0.028286 Loss_G: 0.000715 Loss_D_real: -0.010971 Loss_D_fake 0.017315
[448/5000][530/535][46032] Loss_D: -0.029264 Loss_G: 0.001376 Loss_D_real: -0.008593 Loss_D_fake 0.020671
[448/5000][535/535][46033] Loss_D: -0.033200 Loss_G: 0.010256 Loss_D_real: -0.008881 Loss_D_fake 0.024319
[449/5000][5/535][46034] Loss_D: -0.029142 Loss_G: 0.023452 Loss_D_real: -0.026116 Loss_D_fake 0.003025
[449/5000][10/535][46035] Loss_D: -0.028901 Loss_G: 0.025476 Loss_D_real: -0.031354 Loss_D_fake -0.002454
[449/5000][15/535][46036] Loss_D: -0.027988 Loss_G: 0.006319 Loss_D_real: -0.006269 Loss_D_fake 0.021719
[449/5000][20/535][46037] Loss_D: -0.027823 Loss_G: 0.013446 Loss_D_real: -0.016605 Loss_D_fake 0.011218
[449/5000][25/535][46038] Loss_D: -0.027696 Loss_G: 0.031246 Loss_D_real: -0.026607 Loss_D_fake 0.001089
[449/5000][30/535][46039] Loss_D: -0.028748 Loss_G: 0.030283 Loss_D_real: -0.025909 Loss_D_fake 0.002839
[449/5000][35/535][46040] Loss_D: -0.029020 Loss_G: 0.014623 Loss_D_real: -0.026467 Loss_D_fake 0.002553
[449/5000][40/535][46041] Loss_D: -0.026617 Loss_G: 0.008976 Loss_D_real: -0.011025 Loss_D_fake 0.015592
[449/5000][45/535][46042] Loss_D: -0.027969 Loss_G: 0.011909 Loss_D_real: -0.023621 Loss_D_fake 0.004348
[449/5000][50/535][46043] Loss_D: -0.027962 Loss_G: 0.012121 Loss_D_real: -0.015205 Loss_D_fake 0.012757
[449/5000][55/535][46044] Loss_D: -0.026748 Loss_G: 0.033698 Loss_D_real: -0.036118 Loss_D_fake -0.009371
[449/5000][60/535][46045] Loss_D: -0.028889 Loss_G: 0.032412 Loss_D_real: -0.026446 Loss_D_fake 0.002442
[449/5000][65/535][46046] Loss_D: -0.027241 Loss_G: -0.007178 Loss_D_real: 0.003488 Loss_D_fake 0.030729
[449/5000][70/535][46047] Loss_D: -0.026915 Loss_G: 0.034592 Loss_D_real: -0.031171 Loss_D_fake -0.004256
[449/5000][75/535][46048] Loss_D: -0.027622 Loss_G: 0.013219 Loss_D_real: -0.030854 Loss_D_fake -0.003232
[449/5000][80/535][46049] Loss_D: -0.028389 Loss_G: -0.006051 Loss_D_real: -0.006256 Loss_D_fake 0.022133
[449/5000][85/535][46050] Loss_D: -0.025241 Loss_G: 0.018705 Loss_D_real: -0.026583 Loss_D_fake -0.001341
[449/5000][90/535][46051] Loss_D: -0.027717 Loss_G: 0.013593 Loss_D_real: -0.015754 Loss_D_fake 0.011962
[449/5000][95/535][46052] Loss_D: -0.027399 Loss_G: 0.000420 Loss_D_real: -0.001325 Loss_D_fake 0.026074
[449/5000][100/535][46053] Loss_D: -0.027886 Loss_G: 0.015480 Loss_D_real: -0.009619 Loss_D_fake 0.018267
[449/5000][105/535][46054] Loss_D: -0.027538 Loss_G: 0.003257 Loss_D_real: -0.001391 Loss_D_fake 0.026147
[449/5000][110/535][46055] Loss_D: -0.026322 Loss_G: 0.036064 Loss_D_real: -0.035895 Loss_D_fake -0.009573
[449/5000][115/535][46056] Loss_D: -0.028450 Loss_G: 0.015232 Loss_D_real: -0.022880 Loss_D_fake 0.005570
[449/5000][120/535][46057] Loss_D: -0.026920 Loss_G: 0.020040 Loss_D_real: -0.029318 Loss_D_fake -0.002398
[449/5000][125/535][46058] Loss_D: -0.026623 Loss_G: 0.035035 Loss_D_real: -0.031481 Loss_D_fake -0.004858
[449/5000][130/535][46059] Loss_D: -0.027595 Loss_G: 0.021923 Loss_D_real: -0.024683 Loss_D_fake 0.002912
[449/5000][135/535][46060] Loss_D: -0.028373 Loss_G: 0.006130 Loss_D_real: -0.008760 Loss_D_fake 0.019613
[449/5000][140/535][46061] Loss_D: -0.027402 Loss_G: 0.019588 Loss_D_real: -0.015325 Loss_D_fake 0.012077
[449/5000][145/535][46062] Loss_D: -0.026614 Loss_G: 0.038939 Loss_D_real: -0.032346 Loss_D_fake -0.005732
[449/5000][150/535][46063] Loss_D: -0.027191 Loss_G: 0.022026 Loss_D_real: -0.023565 Loss_D_fake 0.003626
[449/5000][155/535][46064] Loss_D: -0.028124 Loss_G: 0.020089 Loss_D_real: -0.020752 Loss_D_fake 0.007372
[449/5000][160/535][46065] Loss_D: -0.028933 Loss_G: 0.001573 Loss_D_real: -0.011748 Loss_D_fake 0.017185
[449/5000][165/535][46066] Loss_D: -0.027395 Loss_G: 0.019677 Loss_D_real: -0.014721 Loss_D_fake 0.012674
[449/5000][170/535][46067] Loss_D: -0.029780 Loss_G: 0.023272 Loss_D_real: -0.018442 Loss_D_fake 0.011338
[449/5000][175/535][46068] Loss_D: -0.028372 Loss_G: 0.008920 Loss_D_real: -0.015238 Loss_D_fake 0.013134
[449/5000][180/535][46069] Loss_D: -0.026930 Loss_G: 0.028069 Loss_D_real: -0.026383 Loss_D_fake 0.000546
[449/5000][185/535][46070] Loss_D: -0.028055 Loss_G: -0.009565 Loss_D_real: -0.006845 Loss_D_fake 0.021210
[449/5000][190/535][46071] Loss_D: -0.026758 Loss_G: 0.021171 Loss_D_real: -0.027196 Loss_D_fake -0.000438
[449/5000][195/535][46072] Loss_D: -0.027722 Loss_G: 0.028781 Loss_D_real: -0.030625 Loss_D_fake -0.002903
[449/5000][200/535][46073] Loss_D: -0.028971 Loss_G: 0.002014 Loss_D_real: -0.011842 Loss_D_fake 0.017129
[449/5000][205/535][46074] Loss_D: -0.029104 Loss_G: 0.020348 Loss_D_real: -0.018574 Loss_D_fake 0.010530
[449/5000][210/535][46075] Loss_D: -0.029063 Loss_G: 0.026853 Loss_D_real: -0.026648 Loss_D_fake 0.002415
[449/5000][215/535][46076] Loss_D: -0.030283 Loss_G: 0.013596 Loss_D_real: -0.019952 Loss_D_fake 0.010331
[449/5000][220/535][46077] Loss_D: -0.028643 Loss_G: 0.030929 Loss_D_real: -0.025208 Loss_D_fake 0.003435
[449/5000][225/535][46078] Loss_D: -0.028033 Loss_G: 0.016031 Loss_D_real: -0.028369 Loss_D_fake -0.000336
[449/5000][230/535][46079] Loss_D: -0.029609 Loss_G: -0.001523 Loss_D_real: -0.009769 Loss_D_fake 0.019841
[449/5000][235/535][46080] Loss_D: -0.026095 Loss_G: -0.005960 Loss_D_real: 0.004676 Loss_D_fake 0.030771
[449/5000][240/535][46081] Loss_D: -0.026371 Loss_G: 0.024211 Loss_D_real: -0.031512 Loss_D_fake -0.005141
[449/5000][245/535][46082] Loss_D: -0.028434 Loss_G: 0.004023 Loss_D_real: -0.005439 Loss_D_fake 0.022995
[449/5000][250/535][46083] Loss_D: -0.026490 Loss_G: 0.008343 Loss_D_real: -0.010489 Loss_D_fake 0.016002
[449/5000][255/535][46084] Loss_D: -0.027447 Loss_G: 0.001634 Loss_D_real: 0.001716 Loss_D_fake 0.029163
[449/5000][260/535][46085] Loss_D: -0.029397 Loss_G: 0.021293 Loss_D_real: -0.028440 Loss_D_fake 0.000956
[449/5000][265/535][46086] Loss_D: -0.027824 Loss_G: 0.022324 Loss_D_real: -0.019438 Loss_D_fake 0.008386
[449/5000][270/535][46087] Loss_D: -0.028643 Loss_G: 0.012911 Loss_D_real: -0.019324 Loss_D_fake 0.009319
[449/5000][275/535][46088] Loss_D: -0.028173 Loss_G: 0.014034 Loss_D_real: -0.021015 Loss_D_fake 0.007158
[449/5000][280/535][46089] Loss_D: -0.028785 Loss_G: 0.001689 Loss_D_real: -0.012347 Loss_D_fake 0.016437
[449/5000][285/535][46090] Loss_D: -0.029265 Loss_G: 0.002153 Loss_D_real: -0.003877 Loss_D_fake 0.025388
[449/5000][290/535][46091] Loss_D: -0.028081 Loss_G: -0.010524 Loss_D_real: 0.000760 Loss_D_fake 0.028841
[449/5000][295/535][46092] Loss_D: -0.027375 Loss_G: 0.014577 Loss_D_real: -0.015494 Loss_D_fake 0.011881
[449/5000][300/535][46093] Loss_D: -0.026963 Loss_G: 0.010420 Loss_D_real: -0.018593 Loss_D_fake 0.008371
[449/5000][305/535][46094] Loss_D: -0.028750 Loss_G: 0.030261 Loss_D_real: -0.022139 Loss_D_fake 0.006611
[449/5000][310/535][46095] Loss_D: -0.027499 Loss_G: 0.025745 Loss_D_real: -0.023873 Loss_D_fake 0.003625
[449/5000][315/535][46096] Loss_D: -0.027029 Loss_G: 0.015274 Loss_D_real: -0.020689 Loss_D_fake 0.006340
[449/5000][320/535][46097] Loss_D: -0.027213 Loss_G: 0.024156 Loss_D_real: -0.026243 Loss_D_fake 0.000970
[449/5000][325/535][46098] Loss_D: -0.028099 Loss_G: 0.019174 Loss_D_real: -0.024303 Loss_D_fake 0.003795
[449/5000][330/535][46099] Loss_D: -0.028636 Loss_G: 0.006969 Loss_D_real: -0.017976 Loss_D_fake 0.010660
[449/5000][335/535][46100] Loss_D: -0.028903 Loss_G: 0.029680 Loss_D_real: -0.027195 Loss_D_fake 0.001708
[449/5000][340/535][46101] Loss_D: -0.027363 Loss_G: 0.006363 Loss_D_real: -0.015123 Loss_D_fake 0.012240
[449/5000][345/535][46102] Loss_D: -0.027510 Loss_G: 0.006643 Loss_D_real: -0.012780 Loss_D_fake 0.014730
[449/5000][350/535][46103] Loss_D: -0.027239 Loss_G: 0.002718 Loss_D_real: -0.004431 Loss_D_fake 0.022808
[449/5000][355/535][46104] Loss_D: -0.026090 Loss_G: -0.018822 Loss_D_real: -0.000341 Loss_D_fake 0.025749
[449/5000][360/535][46105] Loss_D: -0.029014 Loss_G: 0.020726 Loss_D_real: -0.022224 Loss_D_fake 0.006790
[449/5000][365/535][46106] Loss_D: -0.028105 Loss_G: -0.010341 Loss_D_real: -0.011758 Loss_D_fake 0.016346
[449/5000][370/535][46107] Loss_D: -0.027864 Loss_G: 0.030679 Loss_D_real: -0.020789 Loss_D_fake 0.007075
[449/5000][375/535][46108] Loss_D: -0.026047 Loss_G: 0.029698 Loss_D_real: -0.031087 Loss_D_fake -0.005040
[449/5000][380/535][46109] Loss_D: -0.028626 Loss_G: -0.004034 Loss_D_real: -0.002350 Loss_D_fake 0.026277
[449/5000][385/535][46110] Loss_D: -0.027381 Loss_G: 0.027478 Loss_D_real: -0.025206 Loss_D_fake 0.002175
[449/5000][390/535][46111] Loss_D: -0.025348 Loss_G: 0.021213 Loss_D_real: -0.030702 Loss_D_fake -0.005354
[449/5000][395/535][46112] Loss_D: -0.025499 Loss_G: -0.012785 Loss_D_real: -0.008045 Loss_D_fake 0.017455
[449/5000][400/535][46113] Loss_D: -0.026407 Loss_G: 0.000734 Loss_D_real: -0.015327 Loss_D_fake 0.011080
[449/5000][405/535][46114] Loss_D: -0.026733 Loss_G: 0.033388 Loss_D_real: -0.030345 Loss_D_fake -0.003612
[449/5000][410/535][46115] Loss_D: -0.028451 Loss_G: 0.012903 Loss_D_real: -0.002516 Loss_D_fake 0.025935
[449/5000][415/535][46116] Loss_D: -0.027680 Loss_G: 0.014845 Loss_D_real: -0.020190 Loss_D_fake 0.007490
[449/5000][420/535][46117] Loss_D: -0.028293 Loss_G: 0.023904 Loss_D_real: -0.021695 Loss_D_fake 0.006598
[449/5000][425/535][46118] Loss_D: -0.026039 Loss_G: 0.034500 Loss_D_real: -0.035900 Loss_D_fake -0.009861
[449/5000][430/535][46119] Loss_D: -0.028709 Loss_G: 0.021921 Loss_D_real: -0.018930 Loss_D_fake 0.009779
[449/5000][435/535][46120] Loss_D: -0.027366 Loss_G: 0.026441 Loss_D_real: -0.022657 Loss_D_fake 0.004709
[449/5000][440/535][46121] Loss_D: -0.029310 Loss_G: -0.000978 Loss_D_real: -0.017334 Loss_D_fake 0.011976
[449/5000][445/535][46122] Loss_D: -0.026165 Loss_G: 0.019085 Loss_D_real: -0.025020 Loss_D_fake 0.001144
[449/5000][450/535][46123] Loss_D: -0.026833 Loss_G: -0.005784 Loss_D_real: -0.010491 Loss_D_fake 0.016342
[449/5000][455/535][46124] Loss_D: -0.027665 Loss_G: 0.013247 Loss_D_real: -0.010686 Loss_D_fake 0.016979
[449/5000][460/535][46125] Loss_D: -0.025247 Loss_G: 0.038846 Loss_D_real: -0.038726 Loss_D_fake -0.013479
[449/5000][465/535][46126] Loss_D: -0.027929 Loss_G: -0.006752 Loss_D_real: -0.007646 Loss_D_fake 0.020283
[449/5000][470/535][46127] Loss_D: -0.027803 Loss_G: 0.010014 Loss_D_real: -0.018191 Loss_D_fake 0.009612
[449/5000][475/535][46128] Loss_D: -0.026876 Loss_G: 0.010091 Loss_D_real: -0.009122 Loss_D_fake 0.017755
[449/5000][480/535][46129] Loss_D: -0.027370 Loss_G: -0.016601 Loss_D_real: -0.007284 Loss_D_fake 0.020086
[449/5000][485/535][46130] Loss_D: -0.028046 Loss_G: 0.014257 Loss_D_real: -0.022927 Loss_D_fake 0.005118
[449/5000][490/535][46131] Loss_D: -0.026908 Loss_G: 0.019292 Loss_D_real: -0.018926 Loss_D_fake 0.007982
[449/5000][495/535][46132] Loss_D: -0.027281 Loss_G: 0.019167 Loss_D_real: -0.027207 Loss_D_fake 0.000074
[449/5000][500/535][46133] Loss_D: -0.028580 Loss_G: 0.025469 Loss_D_real: -0.021682 Loss_D_fake 0.006897
[449/5000][505/535][46134] Loss_D: -0.028457 Loss_G: 0.031679 Loss_D_real: -0.026671 Loss_D_fake 0.001786
[449/5000][510/535][46135] Loss_D: -0.028384 Loss_G: -0.001463 Loss_D_real: -0.005217 Loss_D_fake 0.023167
[449/5000][515/535][46136] Loss_D: -0.026908 Loss_G: 0.029436 Loss_D_real: -0.025189 Loss_D_fake 0.001719
[449/5000][520/535][46137] Loss_D: -0.028267 Loss_G: 0.002101 Loss_D_real: -0.013359 Loss_D_fake 0.014908
[449/5000][525/535][46138] Loss_D: -0.027148 Loss_G: 0.036172 Loss_D_real: -0.027179 Loss_D_fake -0.000031
[449/5000][530/535][46139] Loss_D: -0.027563 Loss_G: 0.002867 Loss_D_real: -0.016600 Loss_D_fake 0.010963
[449/5000][535/535][46140] Loss_D: -0.027043 Loss_G: 0.024086 Loss_D_real: -0.011656 Loss_D_fake 0.015387
[450/5000][5/535][46141] Loss_D: -0.028944 Loss_G: 0.003100 Loss_D_real: -0.007046 Loss_D_fake 0.021897
[450/5000][10/535][46142] Loss_D: -0.027341 Loss_G: 0.016584 Loss_D_real: -0.019908 Loss_D_fake 0.007433
[450/5000][15/535][46143] Loss_D: -0.027488 Loss_G: 0.029842 Loss_D_real: -0.041924 Loss_D_fake -0.014436
[450/5000][20/535][46144] Loss_D: -0.026784 Loss_G: -0.008401 Loss_D_real: 0.004292 Loss_D_fake 0.031076
[450/5000][25/535][46145] Loss_D: -0.026328 Loss_G: 0.004497 Loss_D_real: -0.010683 Loss_D_fake 0.015644
[450/5000][30/535][46146] Loss_D: -0.026168 Loss_G: 0.008122 Loss_D_real: -0.003669 Loss_D_fake 0.022499
[450/5000][35/535][46147] Loss_D: -0.025635 Loss_G: 0.028950 Loss_D_real: -0.031980 Loss_D_fake -0.006345
[450/5000][40/535][46148] Loss_D: -0.026619 Loss_G: 0.003289 Loss_D_real: -0.018226 Loss_D_fake 0.008393
[450/5000][45/535][46149] Loss_D: -0.025758 Loss_G: 0.035565 Loss_D_real: -0.037501 Loss_D_fake -0.011743
[450/5000][50/535][46150] Loss_D: -0.026617 Loss_G: 0.001526 Loss_D_real: -0.012149 Loss_D_fake 0.014468
[450/5000][55/535][46151] Loss_D: -0.026852 Loss_G: 0.008736 Loss_D_real: -0.019922 Loss_D_fake 0.006930
[450/5000][60/535][46152] Loss_D: -0.026014 Loss_G: 0.035746 Loss_D_real: -0.027768 Loss_D_fake -0.001755
[450/5000][65/535][46153] Loss_D: -0.027547 Loss_G: 0.007977 Loss_D_real: -0.008839 Loss_D_fake 0.018708
[450/5000][70/535][46154] Loss_D: -0.026078 Loss_G: 0.022985 Loss_D_real: -0.028001 Loss_D_fake -0.001923
[450/5000][75/535][46155] Loss_D: -0.029342 Loss_G: 0.015347 Loss_D_real: -0.013181 Loss_D_fake 0.016162
[450/5000][80/535][46156] Loss_D: -0.026823 Loss_G: 0.006001 Loss_D_real: -0.009903 Loss_D_fake 0.016920
[450/5000][85/535][46157] Loss_D: -0.026736 Loss_G: -0.009021 Loss_D_real: 0.003453 Loss_D_fake 0.030189
[450/5000][90/535][46158] Loss_D: -0.027008 Loss_G: 0.036521 Loss_D_real: -0.030540 Loss_D_fake -0.003532
[450/5000][95/535][46159] Loss_D: -0.028000 Loss_G: 0.008016 Loss_D_real: -0.016915 Loss_D_fake 0.011084
[450/5000][100/535][46160] Loss_D: -0.027364 Loss_G: 0.007268 Loss_D_real: -0.017268 Loss_D_fake 0.010096
[450/5000][105/535][46161] Loss_D: -0.027074 Loss_G: 0.027691 Loss_D_real: -0.038808 Loss_D_fake -0.011734
[450/5000][110/535][46162] Loss_D: -0.026360 Loss_G: 0.021658 Loss_D_real: -0.025023 Loss_D_fake 0.001338
[450/5000][115/535][46163] Loss_D: -0.027884 Loss_G: 0.025647 Loss_D_real: -0.025651 Loss_D_fake 0.002233
[450/5000][120/535][46164] Loss_D: -0.027813 Loss_G: 0.001939 Loss_D_real: -0.013612 Loss_D_fake 0.014201
[450/5000][125/535][46165] Loss_D: -0.029052 Loss_G: 0.017936 Loss_D_real: -0.011199 Loss_D_fake 0.017853
[450/5000][130/535][46166] Loss_D: -0.028109 Loss_G: 0.002599 Loss_D_real: -0.010075 Loss_D_fake 0.018034
[450/5000][135/535][46167] Loss_D: -0.027578 Loss_G: 0.018647 Loss_D_real: -0.012599 Loss_D_fake 0.014979
[450/5000][140/535][46168] Loss_D: -0.027821 Loss_G: 0.001150 Loss_D_real: -0.001200 Loss_D_fake 0.026621
[450/5000][145/535][46169] Loss_D: -0.026403 Loss_G: 0.027265 Loss_D_real: -0.024502 Loss_D_fake 0.001900
[450/5000][150/535][46170] Loss_D: -0.029250 Loss_G: -0.006117 Loss_D_real: -0.014629 Loss_D_fake 0.014621
[450/5000][155/535][46171] Loss_D: -0.028619 Loss_G: 0.000393 Loss_D_real: -0.011483 Loss_D_fake 0.017136
[450/5000][160/535][46172] Loss_D: -0.026645 Loss_G: 0.027840 Loss_D_real: -0.024126 Loss_D_fake 0.002519
[450/5000][165/535][46173] Loss_D: -0.026715 Loss_G: 0.029404 Loss_D_real: -0.031912 Loss_D_fake -0.005197
[450/5000][170/535][46174] Loss_D: -0.027510 Loss_G: 0.002524 Loss_D_real: -0.001475 Loss_D_fake 0.026035
[450/5000][175/535][46175] Loss_D: -0.028056 Loss_G: 0.017855 Loss_D_real: -0.023065 Loss_D_fake 0.004990
[450/5000][180/535][46176] Loss_D: -0.027593 Loss_G: 0.011705 Loss_D_real: -0.015297 Loss_D_fake 0.012296
[450/5000][185/535][46177] Loss_D: -0.030101 Loss_G: 0.009214 Loss_D_real: -0.011002 Loss_D_fake 0.019099
[450/5000][190/535][46178] Loss_D: -0.030182 Loss_G: 0.008721 Loss_D_real: -0.022398 Loss_D_fake 0.007784
[450/5000][195/535][46179] Loss_D: -0.028891 Loss_G: 0.022418 Loss_D_real: -0.034848 Loss_D_fake -0.005957
[450/5000][200/535][46180] Loss_D: -0.028359 Loss_G: 0.035807 Loss_D_real: -0.033465 Loss_D_fake -0.005106
[450/5000][205/535][46181] Loss_D: -0.026967 Loss_G: 0.016082 Loss_D_real: -0.018539 Loss_D_fake 0.008428
[450/5000][210/535][46182] Loss_D: -0.027965 Loss_G: 0.007515 Loss_D_real: -0.013846 Loss_D_fake 0.014119
[450/5000][215/535][46183] Loss_D: -0.029444 Loss_G: 0.035475 Loss_D_real: -0.021565 Loss_D_fake 0.007879
[450/5000][220/535][46184] Loss_D: -0.029301 Loss_G: 0.002963 Loss_D_real: -0.012521 Loss_D_fake 0.016780
[450/5000][225/535][46185] Loss_D: -0.028720 Loss_G: 0.017000 Loss_D_real: -0.015541 Loss_D_fake 0.013179
[450/5000][230/535][46186] Loss_D: -0.028940 Loss_G: 0.026254 Loss_D_real: -0.024684 Loss_D_fake 0.004255
[450/5000][235/535][46187] Loss_D: -0.029081 Loss_G: 0.004679 Loss_D_real: -0.017462 Loss_D_fake 0.011620
[450/5000][240/535][46188] Loss_D: -0.025993 Loss_G: 0.035873 Loss_D_real: -0.020017 Loss_D_fake 0.005976
[450/5000][245/535][46189] Loss_D: -0.028101 Loss_G: 0.001695 Loss_D_real: -0.021623 Loss_D_fake 0.006478
[450/5000][250/535][46190] Loss_D: -0.026938 Loss_G: 0.027141 Loss_D_real: -0.031464 Loss_D_fake -0.004526
[450/5000][255/535][46191] Loss_D: -0.027668 Loss_G: 0.018461 Loss_D_real: -0.010733 Loss_D_fake 0.016935
[450/5000][260/535][46192] Loss_D: -0.027667 Loss_G: 0.000151 Loss_D_real: -0.007469 Loss_D_fake 0.020198
[450/5000][265/535][46193] Loss_D: -0.026677 Loss_G: 0.030244 Loss_D_real: -0.028062 Loss_D_fake -0.001385
[450/5000][270/535][46194] Loss_D: -0.030204 Loss_G: 0.008384 Loss_D_real: -0.009991 Loss_D_fake 0.020213
[450/5000][275/535][46195] Loss_D: -0.028851 Loss_G: 0.005362 Loss_D_real: -0.010610 Loss_D_fake 0.018241
[450/5000][280/535][46196] Loss_D: -0.027561 Loss_G: 0.014636 Loss_D_real: -0.016315 Loss_D_fake 0.011246
[450/5000][285/535][46197] Loss_D: -0.027979 Loss_G: 0.021675 Loss_D_real: -0.021050 Loss_D_fake 0.006929
[450/5000][290/535][46198] Loss_D: -0.026900 Loss_G: 0.012408 Loss_D_real: -0.020223 Loss_D_fake 0.006677
[450/5000][295/535][46199] Loss_D: -0.027668 Loss_G: 0.009565 Loss_D_real: -0.013872 Loss_D_fake 0.013797
[450/5000][300/535][46200] Loss_D: -0.027816 Loss_G: 0.016119 Loss_D_real: -0.021033 Loss_D_fake 0.006783
[450/5000][305/535][46201] Loss_D: -0.028506 Loss_G: 0.028524 Loss_D_real: -0.018863 Loss_D_fake 0.009643
[450/5000][310/535][46202] Loss_D: -0.027539 Loss_G: 0.006240 Loss_D_real: -0.007334 Loss_D_fake 0.020206
[450/5000][315/535][46203] Loss_D: -0.026775 Loss_G: 0.026293 Loss_D_real: -0.023217 Loss_D_fake 0.003558
[450/5000][320/535][46204] Loss_D: -0.027791 Loss_G: 0.030441 Loss_D_real: -0.031430 Loss_D_fake -0.003639
[450/5000][325/535][46205] Loss_D: -0.027772 Loss_G: 0.035717 Loss_D_real: -0.033629 Loss_D_fake -0.005856
[450/5000][330/535][46206] Loss_D: -0.026387 Loss_G: -0.008068 Loss_D_real: 0.000498 Loss_D_fake 0.026885
[450/5000][335/535][46207] Loss_D: -0.026825 Loss_G: 0.026267 Loss_D_real: -0.034146 Loss_D_fake -0.007321
[450/5000][340/535][46208] Loss_D: -0.028520 Loss_G: 0.007033 Loss_D_real: -0.006937 Loss_D_fake 0.021583
[450/5000][345/535][46209] Loss_D: -0.027079 Loss_G: 0.025383 Loss_D_real: -0.025660 Loss_D_fake 0.001419
[450/5000][350/535][46210] Loss_D: -0.027186 Loss_G: 0.027015 Loss_D_real: -0.033219 Loss_D_fake -0.006033
[450/5000][355/535][46211] Loss_D: -0.029801 Loss_G: 0.010815 Loss_D_real: -0.014326 Loss_D_fake 0.015475
[450/5000][360/535][46212] Loss_D: -0.027522 Loss_G: 0.012007 Loss_D_real: -0.021871 Loss_D_fake 0.005651
[450/5000][365/535][46213] Loss_D: -0.029383 Loss_G: 0.022113 Loss_D_real: -0.022541 Loss_D_fake 0.006842
[450/5000][370/535][46214] Loss_D: -0.028910 Loss_G: -0.008194 Loss_D_real: 0.000172 Loss_D_fake 0.029081
[450/5000][375/535][46215] Loss_D: -0.026603 Loss_G: 0.033628 Loss_D_real: -0.039002 Loss_D_fake -0.012399
[450/5000][380/535][46216] Loss_D: -0.026725 Loss_G: 0.013764 Loss_D_real: -0.026172 Loss_D_fake 0.000552
[450/5000][385/535][46217] Loss_D: -0.028522 Loss_G: 0.034632 Loss_D_real: -0.036413 Loss_D_fake -0.007891
[450/5000][390/535][46218] Loss_D: -0.029192 Loss_G: 0.005517 Loss_D_real: -0.013870 Loss_D_fake 0.015322
[450/5000][395/535][46219] Loss_D: -0.028074 Loss_G: 0.017596 Loss_D_real: -0.020063 Loss_D_fake 0.008011
[450/5000][400/535][46220] Loss_D: -0.027058 Loss_G: 0.013162 Loss_D_real: -0.016737 Loss_D_fake 0.010321
[450/5000][405/535][46221] Loss_D: -0.026267 Loss_G: 0.033505 Loss_D_real: -0.033128 Loss_D_fake -0.006861
[450/5000][410/535][46222] Loss_D: -0.027817 Loss_G: 0.012764 Loss_D_real: -0.017976 Loss_D_fake 0.009841
[450/5000][415/535][46223] Loss_D: -0.027484 Loss_G: -0.011618 Loss_D_real: 0.005199 Loss_D_fake 0.032683
[450/5000][420/535][46224] Loss_D: -0.029287 Loss_G: 0.027152 Loss_D_real: -0.016850 Loss_D_fake 0.012437
[450/5000][425/535][46225] Loss_D: -0.026642 Loss_G: -0.003023 Loss_D_real: -0.004837 Loss_D_fake 0.021805
[450/5000][430/535][46226] Loss_D: -0.028226 Loss_G: 0.002966 Loss_D_real: -0.018294 Loss_D_fake 0.009932
[450/5000][435/535][46227] Loss_D: -0.027114 Loss_G: 0.019924 Loss_D_real: -0.025931 Loss_D_fake 0.001183
[450/5000][440/535][46228] Loss_D: -0.028384 Loss_G: 0.018742 Loss_D_real: -0.030041 Loss_D_fake -0.001657
[450/5000][445/535][46229] Loss_D: -0.028588 Loss_G: 0.025382 Loss_D_real: -0.025398 Loss_D_fake 0.003189
[450/5000][450/535][46230] Loss_D: -0.028922 Loss_G: 0.002825 Loss_D_real: -0.010352 Loss_D_fake 0.018571
[450/5000][455/535][46231] Loss_D: -0.026616 Loss_G: 0.022259 Loss_D_real: -0.028719 Loss_D_fake -0.002103
[450/5000][460/535][46232] Loss_D: -0.028202 Loss_G: -0.000767 Loss_D_real: -0.002921 Loss_D_fake 0.025281
[450/5000][465/535][46233] Loss_D: -0.026052 Loss_G: 0.031374 Loss_D_real: -0.027246 Loss_D_fake -0.001194
[450/5000][470/535][46234] Loss_D: -0.027083 Loss_G: 0.024983 Loss_D_real: -0.026849 Loss_D_fake 0.000234
[450/5000][475/535][46235] Loss_D: -0.028157 Loss_G: 0.022731 Loss_D_real: -0.029899 Loss_D_fake -0.001742
[450/5000][480/535][46236] Loss_D: -0.028487 Loss_G: -0.006491 Loss_D_real: -0.011526 Loss_D_fake 0.016961
[450/5000][485/535][46237] Loss_D: -0.026422 Loss_G: 0.013274 Loss_D_real: -0.022311 Loss_D_fake 0.004111
[450/5000][490/535][46238] Loss_D: -0.026195 Loss_G: 0.017054 Loss_D_real: -0.016772 Loss_D_fake 0.009423
[450/5000][495/535][46239] Loss_D: -0.027610 Loss_G: 0.004170 Loss_D_real: -0.012708 Loss_D_fake 0.014902
[450/5000][500/535][46240] Loss_D: -0.027457 Loss_G: 0.029921 Loss_D_real: -0.033006 Loss_D_fake -0.005549
[450/5000][505/535][46241] Loss_D: -0.027601 Loss_G: 0.007877 Loss_D_real: -0.001950 Loss_D_fake 0.025651
[450/5000][510/535][46242] Loss_D: -0.026714 Loss_G: 0.029090 Loss_D_real: -0.030955 Loss_D_fake -0.004241
[450/5000][515/535][46243] Loss_D: -0.027842 Loss_G: 0.019786 Loss_D_real: -0.038078 Loss_D_fake -0.010236
[450/5000][520/535][46244] Loss_D: -0.028864 Loss_G: 0.013220 Loss_D_real: -0.011634 Loss_D_fake 0.017230
[450/5000][525/535][46245] Loss_D: -0.027734 Loss_G: 0.014676 Loss_D_real: -0.014698 Loss_D_fake 0.013036
[450/5000][530/535][46246] Loss_D: -0.027391 Loss_G: 0.009728 Loss_D_real: -0.023959 Loss_D_fake 0.003433
[450/5000][535/535][46247] Loss_D: -0.027789 Loss_G: 0.013127 Loss_D_real: -0.019066 Loss_D_fake 0.008723
[451/5000][5/535][46248] Loss_D: -0.026677 Loss_G: -0.000436 Loss_D_real: -0.003586 Loss_D_fake 0.023091
[451/5000][10/535][46249] Loss_D: -0.026273 Loss_G: 0.015719 Loss_D_real: -0.010794 Loss_D_fake 0.015479
[451/5000][15/535][46250] Loss_D: -0.027336 Loss_G: 0.022590 Loss_D_real: -0.028269 Loss_D_fake -0.000933
[451/5000][20/535][46251] Loss_D: -0.028262 Loss_G: 0.016620 Loss_D_real: -0.019916 Loss_D_fake 0.008346
[451/5000][25/535][46252] Loss_D: -0.027597 Loss_G: 0.040526 Loss_D_real: -0.035532 Loss_D_fake -0.007934
[451/5000][30/535][46253] Loss_D: -0.028358 Loss_G: -0.005199 Loss_D_real: -0.017530 Loss_D_fake 0.010828
[451/5000][35/535][46254] Loss_D: -0.028555 Loss_G: 0.037216 Loss_D_real: -0.033011 Loss_D_fake -0.004456
[451/5000][40/535][46255] Loss_D: -0.028758 Loss_G: 0.011193 Loss_D_real: -0.009006 Loss_D_fake 0.019752
[451/5000][45/535][46256] Loss_D: -0.028543 Loss_G: 0.028885 Loss_D_real: -0.026926 Loss_D_fake 0.001617
[451/5000][50/535][46257] Loss_D: -0.027850 Loss_G: 0.009277 Loss_D_real: -0.007074 Loss_D_fake 0.020776
[451/5000][55/535][46258] Loss_D: -0.028143 Loss_G: 0.027624 Loss_D_real: -0.033408 Loss_D_fake -0.005265
[451/5000][60/535][46259] Loss_D: -0.028427 Loss_G: 0.007394 Loss_D_real: -0.018070 Loss_D_fake 0.010357
[451/5000][65/535][46260] Loss_D: -0.028263 Loss_G: 0.012340 Loss_D_real: -0.020175 Loss_D_fake 0.008089
[451/5000][70/535][46261] Loss_D: -0.027946 Loss_G: 0.010666 Loss_D_real: -0.016453 Loss_D_fake 0.011493
[451/5000][75/535][46262] Loss_D: -0.027349 Loss_G: 0.020477 Loss_D_real: -0.023250 Loss_D_fake 0.004099
[451/5000][80/535][46263] Loss_D: -0.027759 Loss_G: 0.017236 Loss_D_real: -0.019548 Loss_D_fake 0.008211
[451/5000][85/535][46264] Loss_D: -0.026528 Loss_G: 0.034072 Loss_D_real: -0.032665 Loss_D_fake -0.006138
[451/5000][90/535][46265] Loss_D: -0.028057 Loss_G: 0.007010 Loss_D_real: -0.011914 Loss_D_fake 0.016143
[451/5000][95/535][46266] Loss_D: -0.026930 Loss_G: -0.001440 Loss_D_real: -0.001782 Loss_D_fake 0.025148
[451/5000][100/535][46267] Loss_D: -0.027779 Loss_G: 0.026699 Loss_D_real: -0.031392 Loss_D_fake -0.003613
[451/5000][105/535][46268] Loss_D: -0.028470 Loss_G: 0.018069 Loss_D_real: -0.027229 Loss_D_fake 0.001242
[451/5000][110/535][46269] Loss_D: -0.028166 Loss_G: 0.032870 Loss_D_real: -0.026083 Loss_D_fake 0.002083
[451/5000][115/535][46270] Loss_D: -0.026468 Loss_G: -0.015711 Loss_D_real: -0.009032 Loss_D_fake 0.017435
[451/5000][120/535][46271] Loss_D: -0.027960 Loss_G: 0.021845 Loss_D_real: -0.020920 Loss_D_fake 0.007040
[451/5000][125/535][46272] Loss_D: -0.027696 Loss_G: -0.004679 Loss_D_real: -0.001971 Loss_D_fake 0.025724
[451/5000][130/535][46273] Loss_D: -0.027666 Loss_G: 0.018184 Loss_D_real: -0.025696 Loss_D_fake 0.001970
[451/5000][135/535][46274] Loss_D: -0.025699 Loss_G: 0.031230 Loss_D_real: -0.037385 Loss_D_fake -0.011686
[451/5000][140/535][46275] Loss_D: -0.027774 Loss_G: -0.003665 Loss_D_real: -0.011785 Loss_D_fake 0.015989
[451/5000][145/535][46276] Loss_D: -0.027083 Loss_G: 0.019256 Loss_D_real: -0.009958 Loss_D_fake 0.017125
[451/5000][150/535][46277] Loss_D: -0.026412 Loss_G: 0.006769 Loss_D_real: -0.006302 Loss_D_fake 0.020109
[451/5000][155/535][46278] Loss_D: -0.027270 Loss_G: -0.001789 Loss_D_real: -0.012632 Loss_D_fake 0.014637
[451/5000][160/535][46279] Loss_D: -0.026579 Loss_G: 0.023957 Loss_D_real: -0.021805 Loss_D_fake 0.004774
[451/5000][165/535][46280] Loss_D: -0.025766 Loss_G: 0.027806 Loss_D_real: -0.030959 Loss_D_fake -0.005193
[451/5000][170/535][46281] Loss_D: -0.027350 Loss_G: 0.004953 Loss_D_real: -0.007852 Loss_D_fake 0.019498
[451/5000][175/535][46282] Loss_D: -0.026789 Loss_G: 0.020429 Loss_D_real: -0.011700 Loss_D_fake 0.015089
[451/5000][180/535][46283] Loss_D: -0.027018 Loss_G: 0.009744 Loss_D_real: -0.014373 Loss_D_fake 0.012645
[451/5000][185/535][46284] Loss_D: -0.027998 Loss_G: 0.005309 Loss_D_real: -0.020161 Loss_D_fake 0.007837
[451/5000][190/535][46285] Loss_D: -0.028521 Loss_G: 0.009717 Loss_D_real: -0.007842 Loss_D_fake 0.020678
[451/5000][195/535][46286] Loss_D: -0.027048 Loss_G: 0.032276 Loss_D_real: -0.033718 Loss_D_fake -0.006671
[451/5000][200/535][46287] Loss_D: -0.027820 Loss_G: 0.022729 Loss_D_real: -0.030002 Loss_D_fake -0.002182
[451/5000][205/535][46288] Loss_D: -0.027126 Loss_G: 0.033262 Loss_D_real: -0.026107 Loss_D_fake 0.001020
[451/5000][210/535][46289] Loss_D: -0.028459 Loss_G: 0.019362 Loss_D_real: -0.028065 Loss_D_fake 0.000394
[451/5000][215/535][46290] Loss_D: -0.028190 Loss_G: -0.011701 Loss_D_real: -0.006946 Loss_D_fake 0.021245
[451/5000][220/535][46291] Loss_D: -0.026902 Loss_G: 0.017907 Loss_D_real: -0.021114 Loss_D_fake 0.005788
[451/5000][225/535][46292] Loss_D: -0.027580 Loss_G: 0.022459 Loss_D_real: -0.015486 Loss_D_fake 0.012094
[451/5000][230/535][46293] Loss_D: -0.027941 Loss_G: 0.026170 Loss_D_real: -0.019026 Loss_D_fake 0.008914
[451/5000][235/535][46294] Loss_D: -0.028970 Loss_G: 0.018425 Loss_D_real: -0.021719 Loss_D_fake 0.007250
[451/5000][240/535][46295] Loss_D: -0.027743 Loss_G: 0.031412 Loss_D_real: -0.025256 Loss_D_fake 0.002487
[451/5000][245/535][46296] Loss_D: -0.027655 Loss_G: 0.009205 Loss_D_real: -0.007145 Loss_D_fake 0.020510
[451/5000][250/535][46297] Loss_D: -0.028343 Loss_G: 0.030939 Loss_D_real: -0.034469 Loss_D_fake -0.006126
[451/5000][255/535][46298] Loss_D: -0.027472 Loss_G: 0.024360 Loss_D_real: -0.017903 Loss_D_fake 0.009569
[451/5000][260/535][46299] Loss_D: -0.028818 Loss_G: 0.003656 Loss_D_real: -0.014320 Loss_D_fake 0.014498
[451/5000][265/535][46300] Loss_D: -0.026425 Loss_G: 0.027828 Loss_D_real: -0.022962 Loss_D_fake 0.003463
[451/5000][270/535][46301] Loss_D: -0.028505 Loss_G: -0.006064 Loss_D_real: -0.002622 Loss_D_fake 0.025883
[451/5000][275/535][46302] Loss_D: -0.028349 Loss_G: 0.038550 Loss_D_real: -0.029192 Loss_D_fake -0.000843
[451/5000][280/535][46303] Loss_D: -0.027987 Loss_G: -0.001379 Loss_D_real: -0.008511 Loss_D_fake 0.019477
[451/5000][285/535][46304] Loss_D: -0.028567 Loss_G: 0.008635 Loss_D_real: -0.014272 Loss_D_fake 0.014294
[451/5000][290/535][46305] Loss_D: -0.027897 Loss_G: 0.001046 Loss_D_real: -0.012727 Loss_D_fake 0.015170
[451/5000][295/535][46306] Loss_D: -0.027620 Loss_G: 0.002001 Loss_D_real: -0.018643 Loss_D_fake 0.008977
[451/5000][300/535][46307] Loss_D: -0.027373 Loss_G: 0.014991 Loss_D_real: -0.009408 Loss_D_fake 0.017965
[451/5000][305/535][46308] Loss_D: -0.027626 Loss_G: 0.029084 Loss_D_real: -0.029127 Loss_D_fake -0.001502
[451/5000][310/535][46309] Loss_D: -0.026903 Loss_G: 0.016167 Loss_D_real: -0.015837 Loss_D_fake 0.011066
[451/5000][315/535][46310] Loss_D: -0.028586 Loss_G: 0.028441 Loss_D_real: -0.030203 Loss_D_fake -0.001616
[451/5000][320/535][46311] Loss_D: -0.028107 Loss_G: -0.011335 Loss_D_real: -0.007069 Loss_D_fake 0.021038
[451/5000][325/535][46312] Loss_D: -0.026339 Loss_G: 0.029794 Loss_D_real: -0.027086 Loss_D_fake -0.000746
[451/5000][330/535][46313] Loss_D: -0.027296 Loss_G: 0.005695 Loss_D_real: -0.013371 Loss_D_fake 0.013925
[451/5000][335/535][46314] Loss_D: -0.027537 Loss_G: 0.014871 Loss_D_real: -0.013589 Loss_D_fake 0.013948
[451/5000][340/535][46315] Loss_D: -0.027319 Loss_G: 0.024635 Loss_D_real: -0.033072 Loss_D_fake -0.005752
[451/5000][345/535][46316] Loss_D: -0.027997 Loss_G: 0.012415 Loss_D_real: -0.021241 Loss_D_fake 0.006756
[451/5000][350/535][46317] Loss_D: -0.027954 Loss_G: 0.028346 Loss_D_real: -0.027817 Loss_D_fake 0.000137
[451/5000][355/535][46318] Loss_D: -0.027153 Loss_G: 0.010912 Loss_D_real: -0.014176 Loss_D_fake 0.012976
[451/5000][360/535][46319] Loss_D: -0.027688 Loss_G: 0.018121 Loss_D_real: -0.030914 Loss_D_fake -0.003226
[451/5000][365/535][46320] Loss_D: -0.027689 Loss_G: -0.011063 Loss_D_real: -0.004515 Loss_D_fake 0.023174
[451/5000][370/535][46321] Loss_D: -0.026704 Loss_G: 0.023652 Loss_D_real: -0.022051 Loss_D_fake 0.004652
[451/5000][375/535][46322] Loss_D: -0.027031 Loss_G: 0.005277 Loss_D_real: -0.006093 Loss_D_fake 0.020938
[451/5000][380/535][46323] Loss_D: -0.026434 Loss_G: 0.026008 Loss_D_real: -0.023023 Loss_D_fake 0.003411
[451/5000][385/535][46324] Loss_D: -0.025507 Loss_G: 0.006015 Loss_D_real: -0.007273 Loss_D_fake 0.018233
[451/5000][390/535][46325] Loss_D: -0.026792 Loss_G: 0.006834 Loss_D_real: -0.012739 Loss_D_fake 0.014054
[451/5000][395/535][46326] Loss_D: -0.028023 Loss_G: 0.022866 Loss_D_real: -0.018521 Loss_D_fake 0.009502
[451/5000][400/535][46327] Loss_D: -0.026647 Loss_G: 0.018931 Loss_D_real: -0.026689 Loss_D_fake -0.000042
[451/5000][405/535][46328] Loss_D: -0.029522 Loss_G: 0.020232 Loss_D_real: -0.020589 Loss_D_fake 0.008933
[451/5000][410/535][46329] Loss_D: -0.027850 Loss_G: 0.014746 Loss_D_real: -0.014563 Loss_D_fake 0.013287
[451/5000][415/535][46330] Loss_D: -0.026548 Loss_G: -0.006147 Loss_D_real: 0.000552 Loss_D_fake 0.027100
[451/5000][420/535][46331] Loss_D: -0.028297 Loss_G: 0.028009 Loss_D_real: -0.024759 Loss_D_fake 0.003537
[451/5000][425/535][46332] Loss_D: -0.029248 Loss_G: 0.000341 Loss_D_real: -0.001262 Loss_D_fake 0.027986
[451/5000][430/535][46333] Loss_D: -0.026988 Loss_G: 0.007602 Loss_D_real: -0.007349 Loss_D_fake 0.019639
[451/5000][435/535][46334] Loss_D: -0.025099 Loss_G: 0.031365 Loss_D_real: -0.028797 Loss_D_fake -0.003698
[451/5000][440/535][46335] Loss_D: -0.028857 Loss_G: 0.020340 Loss_D_real: -0.029531 Loss_D_fake -0.000674
[451/5000][445/535][46336] Loss_D: -0.027914 Loss_G: 0.009256 Loss_D_real: -0.011364 Loss_D_fake 0.016550
[451/5000][450/535][46337] Loss_D: -0.027836 Loss_G: 0.025145 Loss_D_real: -0.024804 Loss_D_fake 0.003032
[451/5000][455/535][46338] Loss_D: -0.027550 Loss_G: 0.038357 Loss_D_real: -0.036658 Loss_D_fake -0.009107
[451/5000][460/535][46339] Loss_D: -0.026930 Loss_G: 0.030642 Loss_D_real: -0.030326 Loss_D_fake -0.003396
[451/5000][465/535][46340] Loss_D: -0.028406 Loss_G: 0.011928 Loss_D_real: -0.019888 Loss_D_fake 0.008518
[451/5000][470/535][46341] Loss_D: -0.028281 Loss_G: 0.012901 Loss_D_real: -0.017421 Loss_D_fake 0.010859
[451/5000][475/535][46342] Loss_D: -0.028204 Loss_G: 0.013875 Loss_D_real: -0.030532 Loss_D_fake -0.002329
[451/5000][480/535][46343] Loss_D: -0.027554 Loss_G: 0.017497 Loss_D_real: -0.019947 Loss_D_fake 0.007606
[451/5000][485/535][46344] Loss_D: -0.027777 Loss_G: 0.001553 Loss_D_real: -0.008293 Loss_D_fake 0.019485
[451/5000][490/535][46345] Loss_D: -0.027340 Loss_G: 0.005189 Loss_D_real: -0.001554 Loss_D_fake 0.025786
[451/5000][495/535][46346] Loss_D: -0.026470 Loss_G: -0.000621 Loss_D_real: -0.004370 Loss_D_fake 0.022101
[451/5000][500/535][46347] Loss_D: -0.026835 Loss_G: 0.022439 Loss_D_real: -0.035099 Loss_D_fake -0.008264
[451/5000][505/535][46348] Loss_D: -0.028691 Loss_G: 0.009766 Loss_D_real: -0.018277 Loss_D_fake 0.010414
[451/5000][510/535][46349] Loss_D: -0.025694 Loss_G: 0.036484 Loss_D_real: -0.029931 Loss_D_fake -0.004237
[451/5000][515/535][46350] Loss_D: -0.026107 Loss_G: 0.015034 Loss_D_real: -0.025806 Loss_D_fake 0.000301
[451/5000][520/535][46351] Loss_D: -0.026399 Loss_G: 0.043533 Loss_D_real: -0.031796 Loss_D_fake -0.005397
[451/5000][525/535][46352] Loss_D: -0.026954 Loss_G: 0.002676 Loss_D_real: -0.012164 Loss_D_fake 0.014790
[451/5000][530/535][46353] Loss_D: -0.028018 Loss_G: 0.013524 Loss_D_real: -0.020615 Loss_D_fake 0.007404
[451/5000][535/535][46354] Loss_D: -0.027851 Loss_G: 0.014063 Loss_D_real: -0.027413 Loss_D_fake 0.000438
[452/5000][5/535][46355] Loss_D: -0.028381 Loss_G: 0.029450 Loss_D_real: -0.028127 Loss_D_fake 0.000254
[452/5000][10/535][46356] Loss_D: -0.028265 Loss_G: 0.007919 Loss_D_real: -0.015131 Loss_D_fake 0.013134
[452/5000][15/535][46357] Loss_D: -0.026382 Loss_G: 0.028713 Loss_D_real: -0.029737 Loss_D_fake -0.003355
[452/5000][20/535][46358] Loss_D: -0.026185 Loss_G: 0.019872 Loss_D_real: -0.007783 Loss_D_fake 0.018402
[452/5000][25/535][46359] Loss_D: -0.025757 Loss_G: -0.006571 Loss_D_real: -0.001466 Loss_D_fake 0.024291
[452/5000][30/535][46360] Loss_D: -0.027289 Loss_G: 0.007897 Loss_D_real: -0.013554 Loss_D_fake 0.013735
[452/5000][35/535][46361] Loss_D: -0.026320 Loss_G: 0.019841 Loss_D_real: -0.023667 Loss_D_fake 0.002653
[452/5000][40/535][46362] Loss_D: -0.029198 Loss_G: 0.025518 Loss_D_real: -0.015758 Loss_D_fake 0.013440
[452/5000][45/535][46363] Loss_D: -0.027481 Loss_G: -0.001466 Loss_D_real: -0.010356 Loss_D_fake 0.017124
[452/5000][50/535][46364] Loss_D: -0.027755 Loss_G: 0.020706 Loss_D_real: -0.027366 Loss_D_fake 0.000389
[452/5000][55/535][46365] Loss_D: -0.029045 Loss_G: -0.002166 Loss_D_real: -0.007522 Loss_D_fake 0.021524
[452/5000][60/535][46366] Loss_D: -0.027366 Loss_G: 0.017190 Loss_D_real: -0.035296 Loss_D_fake -0.007930
[452/5000][65/535][46367] Loss_D: -0.028626 Loss_G: -0.006124 Loss_D_real: -0.005031 Loss_D_fake 0.023595
[452/5000][70/535][46368] Loss_D: -0.027410 Loss_G: 0.008031 Loss_D_real: -0.007075 Loss_D_fake 0.020336
[452/5000][75/535][46369] Loss_D: -0.028640 Loss_G: 0.023176 Loss_D_real: -0.013048 Loss_D_fake 0.015592
[452/5000][80/535][46370] Loss_D: -0.027997 Loss_G: 0.005368 Loss_D_real: -0.008479 Loss_D_fake 0.019518
[452/5000][85/535][46371] Loss_D: -0.027877 Loss_G: 0.012745 Loss_D_real: -0.024991 Loss_D_fake 0.002886
[452/5000][90/535][46372] Loss_D: -0.026880 Loss_G: 0.032469 Loss_D_real: -0.033702 Loss_D_fake -0.006822
[452/5000][95/535][46373] Loss_D: -0.029428 Loss_G: 0.007882 Loss_D_real: -0.022924 Loss_D_fake 0.006503
[452/5000][100/535][46374] Loss_D: -0.028789 Loss_G: 0.005552 Loss_D_real: 0.002754 Loss_D_fake 0.031543
[452/5000][105/535][46375] Loss_D: -0.026953 Loss_G: -0.004765 Loss_D_real: -0.006100 Loss_D_fake 0.020853
[452/5000][110/535][46376] Loss_D: -0.026317 Loss_G: 0.025920 Loss_D_real: -0.023589 Loss_D_fake 0.002728
[452/5000][115/535][46377] Loss_D: -0.027207 Loss_G: -0.008722 Loss_D_real: 0.000322 Loss_D_fake 0.027529
[452/5000][120/535][46378] Loss_D: -0.028459 Loss_G: 0.027594 Loss_D_real: -0.024535 Loss_D_fake 0.003924
[452/5000][125/535][46379] Loss_D: -0.027750 Loss_G: 0.015476 Loss_D_real: -0.013958 Loss_D_fake 0.013792
[452/5000][130/535][46380] Loss_D: -0.027844 Loss_G: 0.016094 Loss_D_real: -0.017526 Loss_D_fake 0.010318
[452/5000][135/535][46381] Loss_D: -0.027782 Loss_G: 0.021636 Loss_D_real: -0.027556 Loss_D_fake 0.000226
[452/5000][140/535][46382] Loss_D: -0.026834 Loss_G: 0.022474 Loss_D_real: -0.024685 Loss_D_fake 0.002150
[452/5000][145/535][46383] Loss_D: -0.027509 Loss_G: 0.010852 Loss_D_real: -0.012095 Loss_D_fake 0.015414
[452/5000][150/535][46384] Loss_D: -0.028472 Loss_G: 0.015716 Loss_D_real: -0.008882 Loss_D_fake 0.019590
[452/5000][155/535][46385] Loss_D: -0.028629 Loss_G: 0.039502 Loss_D_real: -0.031530 Loss_D_fake -0.002901
[452/5000][160/535][46386] Loss_D: -0.025888 Loss_G: -0.007175 Loss_D_real: 0.000183 Loss_D_fake 0.026070
[452/5000][165/535][46387] Loss_D: -0.027120 Loss_G: 0.029405 Loss_D_real: -0.033584 Loss_D_fake -0.006464
[452/5000][170/535][46388] Loss_D: -0.027979 Loss_G: 0.016736 Loss_D_real: -0.022050 Loss_D_fake 0.005929
[452/5000][175/535][46389] Loss_D: -0.026923 Loss_G: 0.000410 Loss_D_real: -0.003986 Loss_D_fake 0.022936
[452/5000][180/535][46390] Loss_D: -0.028234 Loss_G: 0.020854 Loss_D_real: -0.018393 Loss_D_fake 0.009840
[452/5000][185/535][46391] Loss_D: -0.025632 Loss_G: -0.000890 Loss_D_real: -0.000556 Loss_D_fake 0.025075
[452/5000][190/535][46392] Loss_D: -0.026492 Loss_G: 0.031886 Loss_D_real: -0.025831 Loss_D_fake 0.000661
[452/5000][195/535][46393] Loss_D: -0.028349 Loss_G: 0.014911 Loss_D_real: -0.023093 Loss_D_fake 0.005256
[452/5000][200/535][46394] Loss_D: -0.027774 Loss_G: 0.027402 Loss_D_real: -0.019832 Loss_D_fake 0.007942
[452/5000][205/535][46395] Loss_D: -0.027136 Loss_G: 0.006899 Loss_D_real: -0.017230 Loss_D_fake 0.009906
[452/5000][210/535][46396] Loss_D: -0.029038 Loss_G: 0.036526 Loss_D_real: -0.031735 Loss_D_fake -0.002697
[452/5000][215/535][46397] Loss_D: -0.027372 Loss_G: 0.017675 Loss_D_real: -0.023600 Loss_D_fake 0.003772
[452/5000][220/535][46398] Loss_D: -0.029233 Loss_G: 0.014232 Loss_D_real: -0.024742 Loss_D_fake 0.004491
[452/5000][225/535][46399] Loss_D: -0.029099 Loss_G: -0.004594 Loss_D_real: -0.001112 Loss_D_fake 0.027987
[452/5000][230/535][46400] Loss_D: -0.028834 Loss_G: 0.022743 Loss_D_real: -0.028137 Loss_D_fake 0.000696
[452/5000][235/535][46401] Loss_D: -0.025574 Loss_G: 0.035121 Loss_D_real: -0.025725 Loss_D_fake -0.000151
[452/5000][240/535][46402] Loss_D: -0.027502 Loss_G: 0.000630 Loss_D_real: -0.004252 Loss_D_fake 0.023250
[452/5000][245/535][46403] Loss_D: -0.026384 Loss_G: 0.019811 Loss_D_real: -0.015266 Loss_D_fake 0.011118
[452/5000][250/535][46404] Loss_D: -0.029269 Loss_G: 0.023218 Loss_D_real: -0.016236 Loss_D_fake 0.013033
[452/5000][255/535][46405] Loss_D: -0.026800 Loss_G: 0.012165 Loss_D_real: -0.014934 Loss_D_fake 0.011866
[452/5000][260/535][46406] Loss_D: -0.026787 Loss_G: 0.027456 Loss_D_real: -0.030978 Loss_D_fake -0.004191
[452/5000][265/535][46407] Loss_D: -0.027578 Loss_G: 0.039170 Loss_D_real: -0.029344 Loss_D_fake -0.001766
[452/5000][270/535][46408] Loss_D: -0.028491 Loss_G: 0.011707 Loss_D_real: -0.013111 Loss_D_fake 0.015380
[452/5000][275/535][46409] Loss_D: -0.026886 Loss_G: 0.004138 Loss_D_real: -0.019862 Loss_D_fake 0.007024
[452/5000][280/535][46410] Loss_D: -0.028019 Loss_G: 0.023745 Loss_D_real: -0.026597 Loss_D_fake 0.001421
[452/5000][285/535][46411] Loss_D: -0.027755 Loss_G: 0.010535 Loss_D_real: -0.013873 Loss_D_fake 0.013882
[452/5000][290/535][46412] Loss_D: -0.027511 Loss_G: 0.031159 Loss_D_real: -0.022569 Loss_D_fake 0.004942
[452/5000][295/535][46413] Loss_D: -0.026138 Loss_G: 0.009197 Loss_D_real: -0.014864 Loss_D_fake 0.011274
[452/5000][300/535][46414] Loss_D: -0.026581 Loss_G: -0.008283 Loss_D_real: 0.001156 Loss_D_fake 0.027736
[452/5000][305/535][46415] Loss_D: -0.026466 Loss_G: 0.013717 Loss_D_real: -0.022889 Loss_D_fake 0.003577
[452/5000][310/535][46416] Loss_D: -0.026885 Loss_G: -0.002040 Loss_D_real: -0.020092 Loss_D_fake 0.006793
[452/5000][315/535][46417] Loss_D: -0.027114 Loss_G: 0.001082 Loss_D_real: -0.014803 Loss_D_fake 0.012311
[452/5000][320/535][46418] Loss_D: -0.028654 Loss_G: 0.028639 Loss_D_real: -0.028696 Loss_D_fake -0.000042
[452/5000][325/535][46419] Loss_D: -0.027711 Loss_G: 0.020650 Loss_D_real: -0.025247 Loss_D_fake 0.002464
[452/5000][330/535][46420] Loss_D: -0.027141 Loss_G: 0.025332 Loss_D_real: -0.023303 Loss_D_fake 0.003838
[452/5000][335/535][46421] Loss_D: -0.026134 Loss_G: 0.037932 Loss_D_real: -0.035466 Loss_D_fake -0.009332
[452/5000][340/535][46422] Loss_D: -0.028295 Loss_G: -0.007392 Loss_D_real: -0.006594 Loss_D_fake 0.021701
[452/5000][345/535][46423] Loss_D: -0.026893 Loss_G: 0.011648 Loss_D_real: -0.013959 Loss_D_fake 0.012933
[452/5000][350/535][46424] Loss_D: -0.026933 Loss_G: 0.029075 Loss_D_real: -0.037839 Loss_D_fake -0.010907
[452/5000][355/535][46425] Loss_D: -0.028266 Loss_G: 0.014958 Loss_D_real: -0.020370 Loss_D_fake 0.007896
[452/5000][360/535][46426] Loss_D: -0.027765 Loss_G: 0.022363 Loss_D_real: -0.026230 Loss_D_fake 0.001535
[452/5000][365/535][46427] Loss_D: -0.027787 Loss_G: -0.000723 Loss_D_real: -0.012648 Loss_D_fake 0.015139
[452/5000][370/535][46428] Loss_D: -0.025562 Loss_G: 0.035389 Loss_D_real: -0.036711 Loss_D_fake -0.011149
[452/5000][375/535][46429] Loss_D: -0.027954 Loss_G: 0.000645 Loss_D_real: -0.004323 Loss_D_fake 0.023631
[452/5000][380/535][46430] Loss_D: -0.026047 Loss_G: 0.003794 Loss_D_real: -0.005140 Loss_D_fake 0.020907
[452/5000][385/535][46431] Loss_D: -0.026474 Loss_G: 0.020213 Loss_D_real: -0.021811 Loss_D_fake 0.004663
[452/5000][390/535][46432] Loss_D: -0.027031 Loss_G: 0.008848 Loss_D_real: -0.020084 Loss_D_fake 0.006947
[452/5000][395/535][46433] Loss_D: -0.027817 Loss_G: 0.013487 Loss_D_real: -0.019300 Loss_D_fake 0.008517
[452/5000][400/535][46434] Loss_D: -0.027916 Loss_G: 0.036406 Loss_D_real: -0.037363 Loss_D_fake -0.009447
[452/5000][405/535][46435] Loss_D: -0.027252 Loss_G: -0.009563 Loss_D_real: 0.001050 Loss_D_fake 0.028303
[452/5000][410/535][46436] Loss_D: -0.027983 Loss_G: 0.012963 Loss_D_real: -0.018245 Loss_D_fake 0.009739
[452/5000][415/535][46437] Loss_D: -0.029350 Loss_G: 0.023228 Loss_D_real: -0.017122 Loss_D_fake 0.012228
[452/5000][420/535][46438] Loss_D: -0.027666 Loss_G: 0.031042 Loss_D_real: -0.032508 Loss_D_fake -0.004842
[452/5000][425/535][46439] Loss_D: -0.028139 Loss_G: -0.003181 Loss_D_real: 0.006335 Loss_D_fake 0.034474
[452/5000][430/535][46440] Loss_D: -0.027309 Loss_G: -0.000923 Loss_D_real: -0.014316 Loss_D_fake 0.012992
[452/5000][435/535][46441] Loss_D: -0.028232 Loss_G: 0.030384 Loss_D_real: -0.027531 Loss_D_fake 0.000701
[452/5000][440/535][46442] Loss_D: -0.028811 Loss_G: 0.014427 Loss_D_real: -0.022311 Loss_D_fake 0.006500
[452/5000][445/535][46443] Loss_D: -0.028463 Loss_G: 0.018004 Loss_D_real: -0.027265 Loss_D_fake 0.001199
[452/5000][450/535][46444] Loss_D: -0.028922 Loss_G: 0.019612 Loss_D_real: -0.027183 Loss_D_fake 0.001739
[452/5000][455/535][46445] Loss_D: -0.027097 Loss_G: 0.023691 Loss_D_real: -0.020447 Loss_D_fake 0.006650
[452/5000][460/535][46446] Loss_D: -0.028318 Loss_G: 0.005114 Loss_D_real: -0.011314 Loss_D_fake 0.017004
[452/5000][465/535][46447] Loss_D: -0.027888 Loss_G: 0.020288 Loss_D_real: -0.023656 Loss_D_fake 0.004232
[452/5000][470/535][46448] Loss_D: -0.027877 Loss_G: 0.010512 Loss_D_real: -0.008696 Loss_D_fake 0.019181
[452/5000][475/535][46449] Loss_D: -0.027502 Loss_G: 0.029852 Loss_D_real: -0.024630 Loss_D_fake 0.002873
[452/5000][480/535][46450] Loss_D: -0.028909 Loss_G: 0.013485 Loss_D_real: -0.017749 Loss_D_fake 0.011160
[452/5000][485/535][46451] Loss_D: -0.028803 Loss_G: 0.016269 Loss_D_real: -0.023994 Loss_D_fake 0.004810
[452/5000][490/535][46452] Loss_D: -0.028569 Loss_G: 0.022731 Loss_D_real: -0.020806 Loss_D_fake 0.007763
[452/5000][495/535][46453] Loss_D: -0.026991 Loss_G: 0.032291 Loss_D_real: -0.022117 Loss_D_fake 0.004874
[452/5000][500/535][46454] Loss_D: -0.026485 Loss_G: 0.011083 Loss_D_real: -0.023267 Loss_D_fake 0.003218
[452/5000][505/535][46455] Loss_D: -0.027573 Loss_G: 0.027319 Loss_D_real: -0.021220 Loss_D_fake 0.006353
[452/5000][510/535][46456] Loss_D: -0.028775 Loss_G: -0.008564 Loss_D_real: -0.008188 Loss_D_fake 0.020587
[452/5000][515/535][46457] Loss_D: -0.025854 Loss_G: 0.032383 Loss_D_real: -0.036112 Loss_D_fake -0.010258
[452/5000][520/535][46458] Loss_D: -0.027186 Loss_G: -0.002468 Loss_D_real: -0.002160 Loss_D_fake 0.025026
[452/5000][525/535][46459] Loss_D: -0.026484 Loss_G: 0.007467 Loss_D_real: -0.016176 Loss_D_fake 0.010308
[452/5000][530/535][46460] Loss_D: -0.026727 Loss_G: 0.017437 Loss_D_real: -0.021172 Loss_D_fake 0.005555
[452/5000][535/535][46461] Loss_D: -0.024480 Loss_G: 0.041999 Loss_D_real: -0.009166 Loss_D_fake 0.015314
[453/5000][5/535][46462] Loss_D: -0.028266 Loss_G: 0.006054 Loss_D_real: -0.012892 Loss_D_fake 0.015375
[453/5000][10/535][46463] Loss_D: -0.026470 Loss_G: 0.019814 Loss_D_real: -0.022696 Loss_D_fake 0.003774
[453/5000][15/535][46464] Loss_D: -0.026786 Loss_G: 0.013538 Loss_D_real: -0.023132 Loss_D_fake 0.003653
[453/5000][20/535][46465] Loss_D: -0.028020 Loss_G: 0.020398 Loss_D_real: -0.021558 Loss_D_fake 0.006463
[453/5000][25/535][46466] Loss_D: -0.027503 Loss_G: 0.035190 Loss_D_real: -0.033412 Loss_D_fake -0.005909
[453/5000][30/535][46467] Loss_D: -0.028214 Loss_G: -0.002727 Loss_D_real: -0.009144 Loss_D_fake 0.019070
[453/5000][35/535][46468] Loss_D: -0.027415 Loss_G: 0.007443 Loss_D_real: -0.018900 Loss_D_fake 0.008516
[453/5000][40/535][46469] Loss_D: -0.028386 Loss_G: 0.017671 Loss_D_real: -0.019161 Loss_D_fake 0.009224
[453/5000][45/535][46470] Loss_D: -0.026951 Loss_G: 0.028710 Loss_D_real: -0.025886 Loss_D_fake 0.001065
[453/5000][50/535][46471] Loss_D: -0.025962 Loss_G: 0.025903 Loss_D_real: -0.025467 Loss_D_fake 0.000495
[453/5000][55/535][46472] Loss_D: -0.028436 Loss_G: 0.022879 Loss_D_real: -0.025759 Loss_D_fake 0.002676
[453/5000][60/535][46473] Loss_D: -0.027952 Loss_G: 0.024587 Loss_D_real: -0.025325 Loss_D_fake 0.002626
[453/5000][65/535][46474] Loss_D: -0.027066 Loss_G: 0.031030 Loss_D_real: -0.031195 Loss_D_fake -0.004129
[453/5000][70/535][46475] Loss_D: -0.028663 Loss_G: -0.013126 Loss_D_real: 0.001278 Loss_D_fake 0.029941
[453/5000][75/535][46476] Loss_D: -0.027686 Loss_G: 0.003809 Loss_D_real: -0.003569 Loss_D_fake 0.024117
[453/5000][80/535][46477] Loss_D: -0.027502 Loss_G: 0.021430 Loss_D_real: -0.020945 Loss_D_fake 0.006558
[453/5000][85/535][46478] Loss_D: -0.028091 Loss_G: 0.012335 Loss_D_real: -0.013500 Loss_D_fake 0.014591
[453/5000][90/535][46479] Loss_D: -0.028880 Loss_G: 0.002705 Loss_D_real: -0.013909 Loss_D_fake 0.014971
[453/5000][95/535][46480] Loss_D: -0.027554 Loss_G: 0.022101 Loss_D_real: -0.030318 Loss_D_fake -0.002764
[453/5000][100/535][46481] Loss_D: -0.028204 Loss_G: 0.014377 Loss_D_real: -0.014735 Loss_D_fake 0.013469
[453/5000][105/535][46482] Loss_D: -0.028308 Loss_G: 0.018730 Loss_D_real: -0.018848 Loss_D_fake 0.009460
[453/5000][110/535][46483] Loss_D: -0.026900 Loss_G: 0.040672 Loss_D_real: -0.026248 Loss_D_fake 0.000652
[453/5000][115/535][46484] Loss_D: -0.028633 Loss_G: 0.018916 Loss_D_real: -0.008896 Loss_D_fake 0.019736
[453/5000][120/535][46485] Loss_D: -0.026910 Loss_G: 0.022201 Loss_D_real: -0.021061 Loss_D_fake 0.005849
[453/5000][125/535][46486] Loss_D: -0.026530 Loss_G: 0.015074 Loss_D_real: -0.014341 Loss_D_fake 0.012189
[453/5000][130/535][46487] Loss_D: -0.025863 Loss_G: -0.021572 Loss_D_real: 0.006875 Loss_D_fake 0.032738
[453/5000][135/535][46488] Loss_D: -0.028023 Loss_G: 0.015969 Loss_D_real: -0.021318 Loss_D_fake 0.006704
[453/5000][140/535][46489] Loss_D: -0.027515 Loss_G: 0.003470 Loss_D_real: -0.011816 Loss_D_fake 0.015699
[453/5000][145/535][46490] Loss_D: -0.027074 Loss_G: 0.013460 Loss_D_real: -0.017082 Loss_D_fake 0.009992
[453/5000][150/535][46491] Loss_D: -0.027846 Loss_G: 0.021455 Loss_D_real: -0.018213 Loss_D_fake 0.009634
[453/5000][155/535][46492] Loss_D: -0.026227 Loss_G: -0.009963 Loss_D_real: 0.004622 Loss_D_fake 0.030849
[453/5000][160/535][46493] Loss_D: -0.026211 Loss_G: 0.014675 Loss_D_real: -0.013444 Loss_D_fake 0.012767
[453/5000][165/535][46494] Loss_D: -0.026622 Loss_G: 0.011262 Loss_D_real: -0.019209 Loss_D_fake 0.007413
[453/5000][170/535][46495] Loss_D: -0.027230 Loss_G: 0.007947 Loss_D_real: -0.016656 Loss_D_fake 0.010574
[453/5000][175/535][46496] Loss_D: -0.026975 Loss_G: -0.002214 Loss_D_real: -0.004851 Loss_D_fake 0.022124
[453/5000][180/535][46497] Loss_D: -0.025456 Loss_G: 0.019206 Loss_D_real: -0.014748 Loss_D_fake 0.010708
[453/5000][185/535][46498] Loss_D: -0.028134 Loss_G: 0.041453 Loss_D_real: -0.036459 Loss_D_fake -0.008325
[453/5000][190/535][46499] Loss_D: -0.026604 Loss_G: 0.003585 Loss_D_real: -0.004913 Loss_D_fake 0.021691
[453/5000][195/535][46500] Loss_D: -0.027710 Loss_G: 0.018100 Loss_D_real: -0.024594 Loss_D_fake 0.003116
[453/5000][295/535][46501] Loss_D: -0.030787 Loss_G: 0.034105 Loss_D_real: -0.038044 Loss_D_fake -0.007256
[453/5000][300/535][46502] Loss_D: -0.028615 Loss_G: 0.011752 Loss_D_real: -0.015167 Loss_D_fake 0.013448
[453/5000][305/535][46503] Loss_D: -0.026395 Loss_G: 0.012442 Loss_D_real: -0.012221 Loss_D_fake 0.014175
[453/5000][310/535][46504] Loss_D: -0.026897 Loss_G: 0.013627 Loss_D_real: -0.012740 Loss_D_fake 0.014156
[453/5000][315/535][46505] Loss_D: -0.026978 Loss_G: 0.019454 Loss_D_real: -0.012843 Loss_D_fake 0.014136
[453/5000][320/535][46506] Loss_D: -0.025012 Loss_G: 0.008071 Loss_D_real: -0.010273 Loss_D_fake 0.014739
[453/5000][325/535][46507] Loss_D: -0.026038 Loss_G: 0.004643 Loss_D_real: -0.010203 Loss_D_fake 0.015835
[453/5000][330/535][46508] Loss_D: -0.027189 Loss_G: 0.021705 Loss_D_real: -0.027741 Loss_D_fake -0.000551
[453/5000][335/535][46509] Loss_D: -0.028735 Loss_G: 0.013808 Loss_D_real: -0.026353 Loss_D_fake 0.002382
[453/5000][340/535][46510] Loss_D: -0.026211 Loss_G: 0.033096 Loss_D_real: -0.025421 Loss_D_fake 0.000790
[453/5000][345/535][46511] Loss_D: -0.026872 Loss_G: 0.006730 Loss_D_real: -0.005576 Loss_D_fake 0.021296
[453/5000][350/535][46512] Loss_D: -0.028379 Loss_G: 0.005517 Loss_D_real: -0.014216 Loss_D_fake 0.014164
[453/5000][355/535][46513] Loss_D: -0.027796 Loss_G: 0.020145 Loss_D_real: -0.017468 Loss_D_fake 0.010327
[453/5000][360/535][46514] Loss_D: -0.028859 Loss_G: 0.009550 Loss_D_real: -0.023591 Loss_D_fake 0.005267
[453/5000][365/535][46515] Loss_D: -0.028594 Loss_G: 0.014362 Loss_D_real: -0.018684 Loss_D_fake 0.009910
[453/5000][370/535][46516] Loss_D: -0.028413 Loss_G: 0.025034 Loss_D_real: -0.025217 Loss_D_fake 0.003196
[453/5000][375/535][46517] Loss_D: -0.026718 Loss_G: 0.034074 Loss_D_real: -0.025110 Loss_D_fake 0.001607
[453/5000][380/535][46518] Loss_D: -0.028340 Loss_G: 0.016428 Loss_D_real: -0.017309 Loss_D_fake 0.011031
[453/5000][385/535][46519] Loss_D: -0.028103 Loss_G: 0.010281 Loss_D_real: -0.008260 Loss_D_fake 0.019843
[453/5000][390/535][46520] Loss_D: -0.026939 Loss_G: 0.021740 Loss_D_real: -0.021362 Loss_D_fake 0.005577
[453/5000][395/535][46521] Loss_D: -0.026893 Loss_G: 0.006573 Loss_D_real: -0.021107 Loss_D_fake 0.005786
[453/5000][400/535][46522] Loss_D: -0.026884 Loss_G: 0.027053 Loss_D_real: -0.024002 Loss_D_fake 0.002882
[453/5000][405/535][46523] Loss_D: -0.027068 Loss_G: 0.018247 Loss_D_real: -0.020491 Loss_D_fake 0.006577
[453/5000][410/535][46524] Loss_D: -0.027477 Loss_G: 0.014218 Loss_D_real: -0.021396 Loss_D_fake 0.006081
[453/5000][415/535][46525] Loss_D: -0.027334 Loss_G: 0.019952 Loss_D_real: -0.015562 Loss_D_fake 0.011772
[453/5000][420/535][46526] Loss_D: -0.027564 Loss_G: 0.006759 Loss_D_real: -0.019817 Loss_D_fake 0.007747
[453/5000][425/535][46527] Loss_D: -0.028463 Loss_G: 0.015892 Loss_D_real: -0.008953 Loss_D_fake 0.019509
[453/5000][430/535][46528] Loss_D: -0.028740 Loss_G: 0.025598 Loss_D_real: -0.024046 Loss_D_fake 0.004694
[453/5000][435/535][46529] Loss_D: -0.029087 Loss_G: 0.022666 Loss_D_real: -0.022921 Loss_D_fake 0.006166
[453/5000][440/535][46530] Loss_D: -0.027744 Loss_G: 0.003302 Loss_D_real: -0.011506 Loss_D_fake 0.016238
[453/5000][445/535][46531] Loss_D: -0.026727 Loss_G: 0.026828 Loss_D_real: -0.036249 Loss_D_fake -0.009522
[453/5000][450/535][46532] Loss_D: -0.027698 Loss_G: 0.010414 Loss_D_real: -0.014290 Loss_D_fake 0.013408
[453/5000][455/535][46533] Loss_D: -0.028566 Loss_G: 0.012076 Loss_D_real: -0.022516 Loss_D_fake 0.006051
[453/5000][460/535][46534] Loss_D: -0.028566 Loss_G: 0.004980 Loss_D_real: -0.009246 Loss_D_fake 0.019320
[453/5000][465/535][46535] Loss_D: -0.026001 Loss_G: -0.000474 Loss_D_real: 0.001854 Loss_D_fake 0.027856
[453/5000][470/535][46536] Loss_D: -0.028142 Loss_G: 0.013694 Loss_D_real: -0.014069 Loss_D_fake 0.014073
[453/5000][475/535][46537] Loss_D: -0.026661 Loss_G: 0.011108 Loss_D_real: -0.017449 Loss_D_fake 0.009212
[453/5000][480/535][46538] Loss_D: -0.026840 Loss_G: 0.001436 Loss_D_real: -0.002844 Loss_D_fake 0.023996
[453/5000][485/535][46539] Loss_D: -0.027152 Loss_G: 0.014349 Loss_D_real: -0.020154 Loss_D_fake 0.006997
[453/5000][490/535][46540] Loss_D: -0.027539 Loss_G: 0.032978 Loss_D_real: -0.032256 Loss_D_fake -0.004716
[453/5000][495/535][46541] Loss_D: -0.026449 Loss_G: 0.033370 Loss_D_real: -0.029873 Loss_D_fake -0.003424
[453/5000][500/535][46542] Loss_D: -0.026333 Loss_G: 0.017075 Loss_D_real: -0.022141 Loss_D_fake 0.004192
[453/5000][505/535][46543] Loss_D: -0.025830 Loss_G: -0.018550 Loss_D_real: -0.003984 Loss_D_fake 0.021846
[453/5000][510/535][46544] Loss_D: -0.026386 Loss_G: 0.024134 Loss_D_real: -0.030223 Loss_D_fake -0.003837
[453/5000][515/535][46545] Loss_D: -0.027945 Loss_G: 0.019443 Loss_D_real: -0.019530 Loss_D_fake 0.008415
[453/5000][520/535][46546] Loss_D: -0.027789 Loss_G: 0.024573 Loss_D_real: -0.027492 Loss_D_fake 0.000296
[453/5000][525/535][46547] Loss_D: -0.027614 Loss_G: 0.017481 Loss_D_real: -0.021605 Loss_D_fake 0.006008
[453/5000][530/535][46548] Loss_D: -0.027145 Loss_G: 0.046473 Loss_D_real: -0.033991 Loss_D_fake -0.006847
[453/5000][535/535][46549] Loss_D: -0.029318 Loss_G: 0.021352 Loss_D_real: -0.006267 Loss_D_fake 0.023052
[454/5000][5/535][46550] Loss_D: -0.027189 Loss_G: 0.018189 Loss_D_real: -0.018881 Loss_D_fake 0.008308
[454/5000][10/535][46551] Loss_D: -0.028096 Loss_G: 0.011775 Loss_D_real: -0.010502 Loss_D_fake 0.017593
[454/5000][15/535][46552] Loss_D: -0.029372 Loss_G: 0.012815 Loss_D_real: -0.020614 Loss_D_fake 0.008758
[454/5000][20/535][46553] Loss_D: -0.028194 Loss_G: 0.027452 Loss_D_real: -0.022621 Loss_D_fake 0.005573
[454/5000][25/535][46554] Loss_D: -0.028340 Loss_G: 0.009164 Loss_D_real: -0.004341 Loss_D_fake 0.023999
[454/5000][30/535][46555] Loss_D: -0.026439 Loss_G: 0.033946 Loss_D_real: -0.030781 Loss_D_fake -0.004342
[454/5000][35/535][46556] Loss_D: -0.028006 Loss_G: 0.009476 Loss_D_real: -0.012018 Loss_D_fake 0.015988
[454/5000][40/535][46557] Loss_D: -0.027200 Loss_G: 0.021075 Loss_D_real: -0.024090 Loss_D_fake 0.003110
[454/5000][45/535][46558] Loss_D: -0.027012 Loss_G: 0.037865 Loss_D_real: -0.028334 Loss_D_fake -0.001322
[454/5000][50/535][46559] Loss_D: -0.026502 Loss_G: -0.013191 Loss_D_real: -0.002896 Loss_D_fake 0.023606
[454/5000][55/535][46560] Loss_D: -0.026534 Loss_G: 0.024436 Loss_D_real: -0.015477 Loss_D_fake 0.011057
[454/5000][60/535][46561] Loss_D: -0.026630 Loss_G: 0.014256 Loss_D_real: -0.015093 Loss_D_fake 0.011537
[454/5000][65/535][46562] Loss_D: -0.027682 Loss_G: 0.018749 Loss_D_real: -0.014796 Loss_D_fake 0.012886
[454/5000][70/535][46563] Loss_D: -0.026806 Loss_G: 0.035125 Loss_D_real: -0.025306 Loss_D_fake 0.001500
[454/5000][75/535][46564] Loss_D: -0.028639 Loss_G: -0.008225 Loss_D_real: -0.008486 Loss_D_fake 0.020153
[454/5000][80/535][46565] Loss_D: -0.026623 Loss_G: 0.003942 Loss_D_real: -0.018195 Loss_D_fake 0.008428
[454/5000][85/535][46566] Loss_D: -0.026851 Loss_G: 0.005068 Loss_D_real: -0.007271 Loss_D_fake 0.019580
[454/5000][90/535][46567] Loss_D: -0.026498 Loss_G: 0.002252 Loss_D_real: -0.003859 Loss_D_fake 0.022638
[454/5000][95/535][46568] Loss_D: -0.027576 Loss_G: 0.024134 Loss_D_real: -0.019099 Loss_D_fake 0.008477
[454/5000][100/535][46569] Loss_D: -0.027372 Loss_G: 0.015239 Loss_D_real: -0.015909 Loss_D_fake 0.011463
[454/5000][105/535][46570] Loss_D: -0.026979 Loss_G: 0.022292 Loss_D_real: -0.023804 Loss_D_fake 0.003175
[454/5000][110/535][46571] Loss_D: -0.027365 Loss_G: -0.007012 Loss_D_real: 0.008129 Loss_D_fake 0.035495
[454/5000][115/535][46572] Loss_D: -0.027660 Loss_G: 0.012457 Loss_D_real: -0.019778 Loss_D_fake 0.007881
[454/5000][120/535][46573] Loss_D: -0.029057 Loss_G: 0.025316 Loss_D_real: -0.026704 Loss_D_fake 0.002352
[454/5000][125/535][46574] Loss_D: -0.027663 Loss_G: 0.000733 Loss_D_real: -0.001229 Loss_D_fake 0.026434
[454/5000][130/535][46575] Loss_D: -0.027284 Loss_G: 0.011007 Loss_D_real: -0.014907 Loss_D_fake 0.012377
[454/5000][135/535][46576] Loss_D: -0.027926 Loss_G: -0.002562 Loss_D_real: 0.002693 Loss_D_fake 0.030619
[454/5000][140/535][46577] Loss_D: -0.026133 Loss_G: 0.031511 Loss_D_real: -0.030268 Loss_D_fake -0.004136
[454/5000][145/535][46578] Loss_D: -0.028395 Loss_G: 0.012328 Loss_D_real: -0.013014 Loss_D_fake 0.015382
[454/5000][150/535][46579] Loss_D: -0.028089 Loss_G: 0.000362 Loss_D_real: -0.010855 Loss_D_fake 0.017235
[454/5000][155/535][46580] Loss_D: -0.027544 Loss_G: 0.015942 Loss_D_real: -0.010779 Loss_D_fake 0.016765
[454/5000][160/535][46581] Loss_D: -0.027921 Loss_G: 0.016359 Loss_D_real: -0.020377 Loss_D_fake 0.007544
[454/5000][165/535][46582] Loss_D: -0.024766 Loss_G: 0.033994 Loss_D_real: -0.029527 Loss_D_fake -0.004762
[454/5000][170/535][46583] Loss_D: -0.027708 Loss_G: 0.019381 Loss_D_real: -0.022207 Loss_D_fake 0.005501
[454/5000][175/535][46584] Loss_D: -0.027534 Loss_G: 0.035338 Loss_D_real: -0.029153 Loss_D_fake -0.001619
[454/5000][180/535][46585] Loss_D: -0.027192 Loss_G: 0.005442 Loss_D_real: -0.000748 Loss_D_fake 0.026444
[454/5000][185/535][46586] Loss_D: -0.029118 Loss_G: 0.000720 Loss_D_real: -0.012542 Loss_D_fake 0.016576
[454/5000][190/535][46587] Loss_D: -0.028561 Loss_G: 0.026777 Loss_D_real: -0.028927 Loss_D_fake -0.000366
[454/5000][195/535][46588] Loss_D: -0.028433 Loss_G: 0.012515 Loss_D_real: -0.009158 Loss_D_fake 0.019275
[454/5000][200/535][46589] Loss_D: -0.028404 Loss_G: 0.026073 Loss_D_real: -0.023628 Loss_D_fake 0.004776
[454/5000][205/535][46590] Loss_D: -0.028450 Loss_G: 0.000182 Loss_D_real: -0.013467 Loss_D_fake 0.014984
[454/5000][210/535][46591] Loss_D: -0.028525 Loss_G: 0.021583 Loss_D_real: -0.024481 Loss_D_fake 0.004044
[454/5000][215/535][46592] Loss_D: -0.027859 Loss_G: 0.011757 Loss_D_real: -0.023033 Loss_D_fake 0.004825
[454/5000][220/535][46593] Loss_D: -0.028534 Loss_G: 0.021334 Loss_D_real: -0.024373 Loss_D_fake 0.004161
[454/5000][225/535][46594] Loss_D: -0.028863 Loss_G: 0.013657 Loss_D_real: -0.015531 Loss_D_fake 0.013332
[454/5000][230/535][46595] Loss_D: -0.029761 Loss_G: 0.013991 Loss_D_real: -0.016524 Loss_D_fake 0.013237
[454/5000][235/535][46596] Loss_D: -0.027776 Loss_G: 0.007534 Loss_D_real: -0.001674 Loss_D_fake 0.026102
[454/5000][240/535][46597] Loss_D: -0.026866 Loss_G: 0.020301 Loss_D_real: -0.028872 Loss_D_fake -0.002006
[454/5000][245/535][46598] Loss_D: -0.028739 Loss_G: -0.003206 Loss_D_real: -0.011353 Loss_D_fake 0.017386
[454/5000][250/535][46599] Loss_D: -0.027479 Loss_G: 0.015674 Loss_D_real: -0.019716 Loss_D_fake 0.007763
[454/5000][255/535][46600] Loss_D: -0.027138 Loss_G: -0.010983 Loss_D_real: 0.003087 Loss_D_fake 0.030224
[454/5000][260/535][46601] Loss_D: -0.027083 Loss_G: 0.025530 Loss_D_real: -0.020176 Loss_D_fake 0.006907
[454/5000][265/535][46602] Loss_D: -0.026440 Loss_G: 0.028956 Loss_D_real: -0.017610 Loss_D_fake 0.008830
[454/5000][270/535][46603] Loss_D: -0.028542 Loss_G: 0.012310 Loss_D_real: -0.011110 Loss_D_fake 0.017432
[454/5000][275/535][46604] Loss_D: -0.027580 Loss_G: -0.004999 Loss_D_real: -0.002068 Loss_D_fake 0.025512
[454/5000][280/535][46605] Loss_D: -0.026206 Loss_G: 0.018708 Loss_D_real: -0.019224 Loss_D_fake 0.006982
[454/5000][285/535][46606] Loss_D: -0.027527 Loss_G: 0.001019 Loss_D_real: 0.001276 Loss_D_fake 0.028803
[454/5000][290/535][46607] Loss_D: -0.027162 Loss_G: 0.033892 Loss_D_real: -0.025134 Loss_D_fake 0.002027
[454/5000][295/535][46608] Loss_D: -0.026751 Loss_G: -0.002968 Loss_D_real: 0.001714 Loss_D_fake 0.028465
[454/5000][300/535][46609] Loss_D: -0.027313 Loss_G: 0.005351 Loss_D_real: -0.008572 Loss_D_fake 0.018741
[454/5000][305/535][46610] Loss_D: -0.027070 Loss_G: -0.002049 Loss_D_real: -0.008289 Loss_D_fake 0.018781
[454/5000][310/535][46611] Loss_D: -0.028361 Loss_G: 0.016363 Loss_D_real: -0.024757 Loss_D_fake 0.003604
[454/5000][315/535][46612] Loss_D: -0.029107 Loss_G: 0.004849 Loss_D_real: -0.012730 Loss_D_fake 0.016377
[454/5000][320/535][46613] Loss_D: -0.027877 Loss_G: 0.005664 Loss_D_real: -0.013013 Loss_D_fake 0.014863
[454/5000][325/535][46614] Loss_D: -0.024628 Loss_G: -0.006316 Loss_D_real: -0.002334 Loss_D_fake 0.022294
[454/5000][330/535][46615] Loss_D: -0.026909 Loss_G: 0.035571 Loss_D_real: -0.029336 Loss_D_fake -0.002427
[454/5000][335/535][46616] Loss_D: -0.026654 Loss_G: 0.013682 Loss_D_real: -0.012025 Loss_D_fake 0.014629
[454/5000][340/535][46617] Loss_D: -0.026262 Loss_G: 0.011826 Loss_D_real: -0.019381 Loss_D_fake 0.006880
[454/5000][345/535][46618] Loss_D: -0.025895 Loss_G: 0.023783 Loss_D_real: -0.017394 Loss_D_fake 0.008501
[454/5000][350/535][46619] Loss_D: -0.027514 Loss_G: 0.011978 Loss_D_real: -0.017161 Loss_D_fake 0.010354
[454/5000][355/535][46620] Loss_D: -0.027299 Loss_G: 0.016075 Loss_D_real: -0.025517 Loss_D_fake 0.001783
[454/5000][360/535][46621] Loss_D: -0.027371 Loss_G: 0.019843 Loss_D_real: -0.021448 Loss_D_fake 0.005923
[454/5000][365/535][46622] Loss_D: -0.027325 Loss_G: 0.006507 Loss_D_real: -0.015742 Loss_D_fake 0.011583
[454/5000][370/535][46623] Loss_D: -0.026783 Loss_G: -0.008278 Loss_D_real: -0.004924 Loss_D_fake 0.021859
[454/5000][375/535][46624] Loss_D: -0.025916 Loss_G: 0.015893 Loss_D_real: -0.023350 Loss_D_fake 0.002566
[454/5000][380/535][46625] Loss_D: -0.028234 Loss_G: 0.020279 Loss_D_real: -0.021556 Loss_D_fake 0.006677
[454/5000][385/535][46626] Loss_D: -0.025382 Loss_G: 0.046370 Loss_D_real: -0.034710 Loss_D_fake -0.009329
[454/5000][390/535][46627] Loss_D: -0.026891 Loss_G: 0.025876 Loss_D_real: -0.024348 Loss_D_fake 0.002543
[454/5000][395/535][46628] Loss_D: -0.029331 Loss_G: 0.007806 Loss_D_real: -0.019908 Loss_D_fake 0.009423
[454/5000][400/535][46629] Loss_D: -0.028914 Loss_G: 0.016085 Loss_D_real: -0.020540 Loss_D_fake 0.008374
[454/5000][405/535][46630] Loss_D: -0.027739 Loss_G: 0.044974 Loss_D_real: -0.029778 Loss_D_fake -0.002038
[454/5000][410/535][46631] Loss_D: -0.025151 Loss_G: -0.005385 Loss_D_real: 0.001779 Loss_D_fake 0.026930
[454/5000][415/535][46632] Loss_D: -0.025592 Loss_G: 0.018085 Loss_D_real: -0.012916 Loss_D_fake 0.012677
[454/5000][420/535][46633] Loss_D: -0.027650 Loss_G: 0.006041 Loss_D_real: -0.007206 Loss_D_fake 0.020444
[454/5000][425/535][46634] Loss_D: -0.027692 Loss_G: 0.009366 Loss_D_real: -0.009452 Loss_D_fake 0.018240
[454/5000][430/535][46635] Loss_D: -0.028272 Loss_G: 0.008125 Loss_D_real: -0.019749 Loss_D_fake 0.008523
[454/5000][435/535][46636] Loss_D: -0.027649 Loss_G: 0.025498 Loss_D_real: -0.026552 Loss_D_fake 0.001097
[454/5000][440/535][46637] Loss_D: -0.026192 Loss_G: -0.015368 Loss_D_real: -0.002115 Loss_D_fake 0.024077
[454/5000][445/535][46638] Loss_D: -0.026379 Loss_G: 0.031460 Loss_D_real: -0.025158 Loss_D_fake 0.001221
[454/5000][450/535][46639] Loss_D: -0.026889 Loss_G: 0.005953 Loss_D_real: -0.012322 Loss_D_fake 0.014566
[454/5000][455/535][46640] Loss_D: -0.026662 Loss_G: 0.030978 Loss_D_real: -0.016746 Loss_D_fake 0.009916
[454/5000][460/535][46641] Loss_D: -0.026454 Loss_G: 0.016710 Loss_D_real: -0.005611 Loss_D_fake 0.020843
[454/5000][465/535][46642] Loss_D: -0.027388 Loss_G: 0.014905 Loss_D_real: -0.013819 Loss_D_fake 0.013569
[454/5000][470/535][46643] Loss_D: -0.027698 Loss_G: 0.034222 Loss_D_real: -0.024808 Loss_D_fake 0.002891
[454/5000][475/535][46644] Loss_D: -0.030260 Loss_G: -0.002094 Loss_D_real: -0.013869 Loss_D_fake 0.016391
[454/5000][480/535][46645] Loss_D: -0.027724 Loss_G: 0.022184 Loss_D_real: -0.027886 Loss_D_fake -0.000162
[454/5000][485/535][46646] Loss_D: -0.029964 Loss_G: -0.011851 Loss_D_real: -0.013248 Loss_D_fake 0.016716
[454/5000][490/535][46647] Loss_D: -0.028971 Loss_G: 0.019766 Loss_D_real: -0.024100 Loss_D_fake 0.004871
[454/5000][495/535][46648] Loss_D: -0.029927 Loss_G: 0.002486 Loss_D_real: -0.015851 Loss_D_fake 0.014076
[454/5000][500/535][46649] Loss_D: -0.027331 Loss_G: -0.006894 Loss_D_real: -0.002611 Loss_D_fake 0.024721
[454/5000][505/535][46650] Loss_D: -0.028320 Loss_G: 0.025527 Loss_D_real: -0.029739 Loss_D_fake -0.001418
[454/5000][510/535][46651] Loss_D: -0.027964 Loss_G: 0.002082 Loss_D_real: -0.009163 Loss_D_fake 0.018801
[454/5000][515/535][46652] Loss_D: -0.026484 Loss_G: 0.019854 Loss_D_real: -0.029503 Loss_D_fake -0.003019
[454/5000][520/535][46653] Loss_D: -0.027670 Loss_G: -0.002829 Loss_D_real: -0.009041 Loss_D_fake 0.018629
[454/5000][525/535][46654] Loss_D: -0.027334 Loss_G: 0.029405 Loss_D_real: -0.021920 Loss_D_fake 0.005414
[454/5000][530/535][46655] Loss_D: -0.028618 Loss_G: 0.010654 Loss_D_real: -0.016214 Loss_D_fake 0.012404
[454/5000][535/535][46656] Loss_D: -0.029075 Loss_G: 0.041439 Loss_D_real: -0.028647 Loss_D_fake 0.000428
[455/5000][5/535][46657] Loss_D: -0.026838 Loss_G: 0.017051 Loss_D_real: -0.025655 Loss_D_fake 0.001183
[455/5000][10/535][46658] Loss_D: -0.026790 Loss_G: -0.006587 Loss_D_real: -0.002451 Loss_D_fake 0.024339
[455/5000][15/535][46659] Loss_D: -0.026226 Loss_G: -0.010721 Loss_D_real: -0.008011 Loss_D_fake 0.018215
[455/5000][20/535][46660] Loss_D: -0.026721 Loss_G: 0.008947 Loss_D_real: -0.001241 Loss_D_fake 0.025480
[455/5000][25/535][46661] Loss_D: -0.028681 Loss_G: 0.014038 Loss_D_real: -0.020563 Loss_D_fake 0.008119
[455/5000][30/535][46662] Loss_D: -0.028465 Loss_G: 0.012854 Loss_D_real: -0.017170 Loss_D_fake 0.011295
[455/5000][35/535][46663] Loss_D: -0.027421 Loss_G: 0.026052 Loss_D_real: -0.041655 Loss_D_fake -0.014234
[455/5000][40/535][46664] Loss_D: -0.027789 Loss_G: 0.043856 Loss_D_real: -0.028803 Loss_D_fake -0.001014
[455/5000][45/535][46665] Loss_D: -0.028032 Loss_G: 0.017199 Loss_D_real: -0.029320 Loss_D_fake -0.001288
[455/5000][50/535][46666] Loss_D: -0.028645 Loss_G: 0.026591 Loss_D_real: -0.030253 Loss_D_fake -0.001607
[455/5000][55/535][46667] Loss_D: -0.028593 Loss_G: 0.011846 Loss_D_real: -0.015288 Loss_D_fake 0.013305
[455/5000][60/535][46668] Loss_D: -0.028206 Loss_G: 0.025807 Loss_D_real: -0.026824 Loss_D_fake 0.001382
[455/5000][65/535][46669] Loss_D: -0.029318 Loss_G: 0.025726 Loss_D_real: -0.026874 Loss_D_fake 0.002444
[455/5000][70/535][46670] Loss_D: -0.028579 Loss_G: 0.022020 Loss_D_real: -0.018420 Loss_D_fake 0.010159
[455/5000][75/535][46671] Loss_D: -0.028599 Loss_G: 0.009550 Loss_D_real: -0.021670 Loss_D_fake 0.006929
[455/5000][80/535][46672] Loss_D: -0.027656 Loss_G: -0.000613 Loss_D_real: -0.015492 Loss_D_fake 0.012164
[455/5000][85/535][46673] Loss_D: -0.026788 Loss_G: 0.002991 Loss_D_real: -0.015896 Loss_D_fake 0.010892
[455/5000][90/535][46674] Loss_D: -0.026429 Loss_G: 0.025211 Loss_D_real: -0.033947 Loss_D_fake -0.007518
[455/5000][95/535][46675] Loss_D: -0.027136 Loss_G: 0.005595 Loss_D_real: -0.017600 Loss_D_fake 0.009535
[455/5000][100/535][46676] Loss_D: -0.029029 Loss_G: 0.012774 Loss_D_real: -0.018641 Loss_D_fake 0.010389
[455/5000][105/535][46677] Loss_D: -0.026658 Loss_G: -0.003934 Loss_D_real: -0.002468 Loss_D_fake 0.024191
[455/5000][110/535][46678] Loss_D: -0.027680 Loss_G: 0.025528 Loss_D_real: -0.029120 Loss_D_fake -0.001439
[455/5000][115/535][46679] Loss_D: -0.027856 Loss_G: 0.025986 Loss_D_real: -0.021687 Loss_D_fake 0.006168
[455/5000][120/535][46680] Loss_D: -0.028031 Loss_G: 0.029724 Loss_D_real: -0.026364 Loss_D_fake 0.001667
[455/5000][125/535][46681] Loss_D: -0.027027 Loss_G: -0.004614 Loss_D_real: -0.007138 Loss_D_fake 0.019888
[455/5000][130/535][46682] Loss_D: -0.024436 Loss_G: 0.038826 Loss_D_real: -0.038502 Loss_D_fake -0.014066
[455/5000][135/535][46683] Loss_D: -0.027334 Loss_G: -0.002111 Loss_D_real: -0.008022 Loss_D_fake 0.019311
[455/5000][140/535][46684] Loss_D: -0.026803 Loss_G: 0.026560 Loss_D_real: -0.029645 Loss_D_fake -0.002842
[455/5000][145/535][46685] Loss_D: -0.028446 Loss_G: 0.019358 Loss_D_real: -0.022119 Loss_D_fake 0.006327
[455/5000][150/535][46686] Loss_D: -0.027753 Loss_G: 0.016299 Loss_D_real: -0.020077 Loss_D_fake 0.007676
[455/5000][155/535][46687] Loss_D: -0.027121 Loss_G: -0.006684 Loss_D_real: -0.006583 Loss_D_fake 0.020538
[455/5000][160/535][46688] Loss_D: -0.027945 Loss_G: 0.014377 Loss_D_real: -0.014226 Loss_D_fake 0.013719
[455/5000][165/535][46689] Loss_D: -0.028784 Loss_G: 0.005273 Loss_D_real: -0.018122 Loss_D_fake 0.010662
[455/5000][170/535][46690] Loss_D: -0.027618 Loss_G: 0.018056 Loss_D_real: -0.021359 Loss_D_fake 0.006259
[455/5000][175/535][46691] Loss_D: -0.027826 Loss_G: -0.002567 Loss_D_real: -0.003391 Loss_D_fake 0.024435
[455/5000][180/535][46692] Loss_D: -0.026947 Loss_G: 0.000361 Loss_D_real: -0.012295 Loss_D_fake 0.014652
[455/5000][185/535][46693] Loss_D: -0.028104 Loss_G: 0.026973 Loss_D_real: -0.024587 Loss_D_fake 0.003517
[455/5000][190/535][46694] Loss_D: -0.027661 Loss_G: 0.014815 Loss_D_real: -0.015415 Loss_D_fake 0.012245
[455/5000][195/535][46695] Loss_D: -0.027040 Loss_G: 0.036557 Loss_D_real: -0.024499 Loss_D_fake 0.002540
[455/5000][200/535][46696] Loss_D: -0.028402 Loss_G: 0.009129 Loss_D_real: -0.004283 Loss_D_fake 0.024119
[455/5000][205/535][46697] Loss_D: -0.027751 Loss_G: 0.010746 Loss_D_real: -0.008529 Loss_D_fake 0.019221
[455/5000][210/535][46698] Loss_D: -0.027401 Loss_G: 0.019693 Loss_D_real: -0.028736 Loss_D_fake -0.001335
[455/5000][215/535][46699] Loss_D: -0.028516 Loss_G: 0.002732 Loss_D_real: -0.018177 Loss_D_fake 0.010339
[455/5000][220/535][46700] Loss_D: -0.027709 Loss_G: -0.001339 Loss_D_real: -0.015976 Loss_D_fake 0.011733
[455/5000][225/535][46701] Loss_D: -0.026544 Loss_G: 0.035451 Loss_D_real: -0.033060 Loss_D_fake -0.006516
[455/5000][230/535][46702] Loss_D: -0.029583 Loss_G: 0.011406 Loss_D_real: -0.011128 Loss_D_fake 0.018456
[455/5000][235/535][46703] Loss_D: -0.029215 Loss_G: 0.021711 Loss_D_real: -0.017161 Loss_D_fake 0.012054
[455/5000][240/535][46704] Loss_D: -0.028407 Loss_G: 0.015424 Loss_D_real: -0.023969 Loss_D_fake 0.004438
[455/5000][245/535][46705] Loss_D: -0.028036 Loss_G: 0.013315 Loss_D_real: -0.017224 Loss_D_fake 0.010812
[455/5000][250/535][46706] Loss_D: -0.026561 Loss_G: -0.014462 Loss_D_real: 0.008828 Loss_D_fake 0.035389
[455/5000][255/535][46707] Loss_D: -0.027320 Loss_G: 0.026305 Loss_D_real: -0.027178 Loss_D_fake 0.000142
[455/5000][260/535][46708] Loss_D: -0.028033 Loss_G: 0.008217 Loss_D_real: -0.017166 Loss_D_fake 0.010868
[455/5000][265/535][46709] Loss_D: -0.026984 Loss_G: 0.034421 Loss_D_real: -0.029209 Loss_D_fake -0.002225
[455/5000][270/535][46710] Loss_D: -0.025960 Loss_G: -0.014743 Loss_D_real: -0.008564 Loss_D_fake 0.017396
[455/5000][275/535][46711] Loss_D: -0.027081 Loss_G: 0.033029 Loss_D_real: -0.030909 Loss_D_fake -0.003828
[455/5000][280/535][46712] Loss_D: -0.027324 Loss_G: -0.000995 Loss_D_real: -0.004283 Loss_D_fake 0.023041
[455/5000][285/535][46713] Loss_D: -0.026895 Loss_G: 0.025034 Loss_D_real: -0.024473 Loss_D_fake 0.002422
[455/5000][290/535][46714] Loss_D: -0.029051 Loss_G: 0.006191 Loss_D_real: -0.018698 Loss_D_fake 0.010352
[455/5000][295/535][46715] Loss_D: -0.027713 Loss_G: 0.015413 Loss_D_real: -0.027932 Loss_D_fake -0.000220
[455/5000][300/535][46716] Loss_D: -0.027971 Loss_G: -0.001684 Loss_D_real: 0.000415 Loss_D_fake 0.028386
[455/5000][305/535][46717] Loss_D: -0.027961 Loss_G: 0.008578 Loss_D_real: -0.023427 Loss_D_fake 0.004534
[455/5000][310/535][46718] Loss_D: -0.027230 Loss_G: 0.031718 Loss_D_real: -0.033055 Loss_D_fake -0.005825
[455/5000][315/535][46719] Loss_D: -0.027296 Loss_G: 0.016616 Loss_D_real: -0.025639 Loss_D_fake 0.001656
[455/5000][320/535][46720] Loss_D: -0.026571 Loss_G: 0.023624 Loss_D_real: -0.031025 Loss_D_fake -0.004454
[455/5000][325/535][46721] Loss_D: -0.025067 Loss_G: 0.036242 Loss_D_real: -0.024360 Loss_D_fake 0.000707
[455/5000][330/535][46722] Loss_D: -0.027127 Loss_G: 0.003831 Loss_D_real: -0.018686 Loss_D_fake 0.008441
[455/5000][335/535][46723] Loss_D: -0.027126 Loss_G: 0.019246 Loss_D_real: -0.014877 Loss_D_fake 0.012249
[455/5000][340/535][46724] Loss_D: -0.028352 Loss_G: 0.019025 Loss_D_real: -0.024147 Loss_D_fake 0.004205
[455/5000][345/535][46725] Loss_D: -0.027765 Loss_G: 0.017632 Loss_D_real: -0.024878 Loss_D_fake 0.002887
[455/5000][350/535][46726] Loss_D: -0.029429 Loss_G: 0.014707 Loss_D_real: -0.013622 Loss_D_fake 0.015807
[455/5000][355/535][46727] Loss_D: -0.028964 Loss_G: 0.035348 Loss_D_real: -0.025177 Loss_D_fake 0.003787
[455/5000][360/535][46728] Loss_D: -0.028118 Loss_G: 0.027768 Loss_D_real: -0.026185 Loss_D_fake 0.001933
[455/5000][365/535][46729] Loss_D: -0.027496 Loss_G: 0.004685 Loss_D_real: -0.003530 Loss_D_fake 0.023966
[455/5000][370/535][46730] Loss_D: -0.027988 Loss_G: 0.020665 Loss_D_real: -0.029745 Loss_D_fake -0.001757
[455/5000][375/535][46731] Loss_D: -0.026206 Loss_G: 0.006913 Loss_D_real: -0.019050 Loss_D_fake 0.007156
[455/5000][380/535][46732] Loss_D: -0.027517 Loss_G: 0.000624 Loss_D_real: -0.000547 Loss_D_fake 0.026970
[455/5000][385/535][46733] Loss_D: -0.028841 Loss_G: 0.011496 Loss_D_real: -0.026505 Loss_D_fake 0.002336
[455/5000][390/535][46734] Loss_D: -0.026786 Loss_G: 0.021354 Loss_D_real: -0.029733 Loss_D_fake -0.002947
[455/5000][395/535][46735] Loss_D: -0.027431 Loss_G: 0.009531 Loss_D_real: -0.010374 Loss_D_fake 0.017057
[455/5000][400/535][46736] Loss_D: -0.028415 Loss_G: 0.016202 Loss_D_real: -0.018840 Loss_D_fake 0.009575
[455/5000][405/535][46737] Loss_D: -0.027456 Loss_G: 0.022437 Loss_D_real: -0.021721 Loss_D_fake 0.005735
[455/5000][410/535][46738] Loss_D: -0.029276 Loss_G: 0.014801 Loss_D_real: -0.023948 Loss_D_fake 0.005328
[455/5000][415/535][46739] Loss_D: -0.027380 Loss_G: -0.002814 Loss_D_real: 0.005367 Loss_D_fake 0.032747
[455/5000][420/535][46740] Loss_D: -0.025475 Loss_G: 0.023966 Loss_D_real: -0.016733 Loss_D_fake 0.008742
[455/5000][425/535][46741] Loss_D: -0.028345 Loss_G: -0.004522 Loss_D_real: -0.003875 Loss_D_fake 0.024469
[455/5000][430/535][46742] Loss_D: -0.027418 Loss_G: 0.017796 Loss_D_real: -0.023271 Loss_D_fake 0.004147
[455/5000][435/535][46743] Loss_D: -0.029161 Loss_G: 0.019378 Loss_D_real: -0.013725 Loss_D_fake 0.015436
[455/5000][440/535][46744] Loss_D: -0.029929 Loss_G: 0.035228 Loss_D_real: -0.037357 Loss_D_fake -0.007429
[455/5000][445/535][46745] Loss_D: -0.026728 Loss_G: 0.025777 Loss_D_real: -0.025804 Loss_D_fake 0.000924
[455/5000][450/535][46746] Loss_D: -0.026111 Loss_G: 0.031268 Loss_D_real: -0.025922 Loss_D_fake 0.000189
[455/5000][455/535][46747] Loss_D: -0.026772 Loss_G: 0.027235 Loss_D_real: -0.025414 Loss_D_fake 0.001359
[455/5000][460/535][46748] Loss_D: -0.027883 Loss_G: 0.014281 Loss_D_real: -0.022681 Loss_D_fake 0.005202
[455/5000][465/535][46749] Loss_D: -0.024606 Loss_G: -0.019537 Loss_D_real: 0.007833 Loss_D_fake 0.032439
[455/5000][470/535][46750] Loss_D: -0.025967 Loss_G: 0.024951 Loss_D_real: -0.021356 Loss_D_fake 0.004612
[455/5000][475/535][46751] Loss_D: -0.027404 Loss_G: 0.003801 Loss_D_real: -0.016565 Loss_D_fake 0.010840
[455/5000][480/535][46752] Loss_D: -0.025632 Loss_G: 0.012717 Loss_D_real: -0.015632 Loss_D_fake 0.010000
[455/5000][485/535][46753] Loss_D: -0.025515 Loss_G: 0.018873 Loss_D_real: -0.026001 Loss_D_fake -0.000487
[455/5000][490/535][46754] Loss_D: -0.027478 Loss_G: 0.023118 Loss_D_real: -0.021072 Loss_D_fake 0.006406
[455/5000][495/535][46755] Loss_D: -0.027494 Loss_G: 0.039245 Loss_D_real: -0.031976 Loss_D_fake -0.004482
[455/5000][500/535][46756] Loss_D: -0.027155 Loss_G: 0.022406 Loss_D_real: -0.018645 Loss_D_fake 0.008510
[455/5000][505/535][46757] Loss_D: -0.027544 Loss_G: 0.022827 Loss_D_real: -0.014184 Loss_D_fake 0.013360
[455/5000][510/535][46758] Loss_D: -0.028506 Loss_G: 0.010476 Loss_D_real: -0.024372 Loss_D_fake 0.004135
[455/5000][515/535][46759] Loss_D: -0.028207 Loss_G: 0.001544 Loss_D_real: -0.001067 Loss_D_fake 0.027140
[455/5000][520/535][46760] Loss_D: -0.026259 Loss_G: 0.021923 Loss_D_real: -0.025944 Loss_D_fake 0.000315
[455/5000][525/535][46761] Loss_D: -0.026995 Loss_G: 0.006128 Loss_D_real: -0.017986 Loss_D_fake 0.009009
[455/5000][530/535][46762] Loss_D: -0.026480 Loss_G: -0.000515 Loss_D_real: -0.000169 Loss_D_fake 0.026311
[455/5000][535/535][46763] Loss_D: -0.028544 Loss_G: 0.045443 Loss_D_real: -0.032707 Loss_D_fake -0.004163
[456/5000][5/535][46764] Loss_D: -0.026274 Loss_G: 0.002130 Loss_D_real: -0.009887 Loss_D_fake 0.016387
[456/5000][10/535][46765] Loss_D: -0.028019 Loss_G: 0.013253 Loss_D_real: -0.024687 Loss_D_fake 0.003332
[456/5000][15/535][46766] Loss_D: -0.027577 Loss_G: 0.018573 Loss_D_real: -0.026785 Loss_D_fake 0.000792
[456/5000][20/535][46767] Loss_D: -0.028438 Loss_G: 0.001167 Loss_D_real: -0.013879 Loss_D_fake 0.014559
[456/5000][25/535][46768] Loss_D: -0.026922 Loss_G: 0.014741 Loss_D_real: -0.012521 Loss_D_fake 0.014401
[456/5000][30/535][46769] Loss_D: -0.026183 Loss_G: -0.009613 Loss_D_real: 0.007487 Loss_D_fake 0.033670
[456/5000][35/535][46770] Loss_D: -0.027796 Loss_G: 0.003730 Loss_D_real: -0.006937 Loss_D_fake 0.020859
[456/5000][40/535][46771] Loss_D: -0.027127 Loss_G: 0.013211 Loss_D_real: -0.016599 Loss_D_fake 0.010528
[456/5000][45/535][46772] Loss_D: -0.027988 Loss_G: 0.004923 Loss_D_real: -0.013916 Loss_D_fake 0.014072
[456/5000][50/535][46773] Loss_D: -0.028306 Loss_G: 0.028765 Loss_D_real: -0.026520 Loss_D_fake 0.001786
[456/5000][55/535][46774] Loss_D: -0.028243 Loss_G: 0.008454 Loss_D_real: -0.013974 Loss_D_fake 0.014269
[456/5000][60/535][46775] Loss_D: -0.025983 Loss_G: 0.035708 Loss_D_real: -0.026498 Loss_D_fake -0.000515
[456/5000][65/535][46776] Loss_D: -0.026735 Loss_G: -0.003867 Loss_D_real: -0.008915 Loss_D_fake 0.017819
[456/5000][70/535][46777] Loss_D: -0.026119 Loss_G: -0.002247 Loss_D_real: -0.001306 Loss_D_fake 0.024813
[456/5000][75/535][46778] Loss_D: -0.027615 Loss_G: 0.020113 Loss_D_real: -0.032058 Loss_D_fake -0.004443
[456/5000][80/535][46779] Loss_D: -0.028560 Loss_G: 0.006074 Loss_D_real: -0.009994 Loss_D_fake 0.018567
[456/5000][85/535][46780] Loss_D: -0.029072 Loss_G: 0.015553 Loss_D_real: -0.012415 Loss_D_fake 0.016657
[456/5000][90/535][46781] Loss_D: -0.027412 Loss_G: 0.031227 Loss_D_real: -0.040625 Loss_D_fake -0.013212
[456/5000][95/535][46782] Loss_D: -0.028414 Loss_G: 0.008465 Loss_D_real: -0.013156 Loss_D_fake 0.015257
[456/5000][100/535][46783] Loss_D: -0.028154 Loss_G: 0.028305 Loss_D_real: -0.033892 Loss_D_fake -0.005739
[456/5000][105/535][46784] Loss_D: -0.028377 Loss_G: 0.005108 Loss_D_real: -0.008733 Loss_D_fake 0.019644
[456/5000][110/535][46785] Loss_D: -0.026422 Loss_G: 0.036622 Loss_D_real: -0.032522 Loss_D_fake -0.006100
[456/5000][115/535][46786] Loss_D: -0.028020 Loss_G: 0.015290 Loss_D_real: -0.014674 Loss_D_fake 0.013347
[456/5000][120/535][46787] Loss_D: -0.026299 Loss_G: 0.026544 Loss_D_real: -0.024798 Loss_D_fake 0.001502
[456/5000][125/535][46788] Loss_D: -0.028343 Loss_G: 0.012895 Loss_D_real: -0.012265 Loss_D_fake 0.016078
[456/5000][130/535][46789] Loss_D: -0.027351 Loss_G: -0.003169 Loss_D_real: -0.002944 Loss_D_fake 0.024407
[456/5000][135/535][46790] Loss_D: -0.027776 Loss_G: 0.004886 Loss_D_real: -0.018010 Loss_D_fake 0.009766
[456/5000][140/535][46791] Loss_D: -0.027407 Loss_G: 0.013552 Loss_D_real: -0.009240 Loss_D_fake 0.018167
[456/5000][145/535][46792] Loss_D: -0.026494 Loss_G: 0.024577 Loss_D_real: -0.024445 Loss_D_fake 0.002050
[456/5000][150/535][46793] Loss_D: -0.028376 Loss_G: 0.017605 Loss_D_real: -0.010819 Loss_D_fake 0.017557
[456/5000][155/535][46794] Loss_D: -0.028467 Loss_G: -0.001788 Loss_D_real: -0.006707 Loss_D_fake 0.021760
[456/5000][160/535][46795] Loss_D: -0.026638 Loss_G: 0.010380 Loss_D_real: -0.010336 Loss_D_fake 0.016303
[456/5000][165/535][46796] Loss_D: -0.026671 Loss_G: 0.024975 Loss_D_real: -0.027659 Loss_D_fake -0.000988
[456/5000][170/535][46797] Loss_D: -0.027930 Loss_G: -0.007543 Loss_D_real: -0.004265 Loss_D_fake 0.023665
[456/5000][175/535][46798] Loss_D: -0.026545 Loss_G: 0.018024 Loss_D_real: -0.026353 Loss_D_fake 0.000192
[456/5000][180/535][46799] Loss_D: -0.027133 Loss_G: 0.002452 Loss_D_real: -0.009300 Loss_D_fake 0.017833
[456/5000][185/535][46800] Loss_D: -0.028024 Loss_G: 0.002114 Loss_D_real: -0.016440 Loss_D_fake 0.011584
[456/5000][190/535][46801] Loss_D: -0.026754 Loss_G: 0.021768 Loss_D_real: -0.021369 Loss_D_fake 0.005384
[456/5000][195/535][46802] Loss_D: -0.028307 Loss_G: 0.015038 Loss_D_real: -0.011612 Loss_D_fake 0.016695
[456/5000][200/535][46803] Loss_D: -0.028513 Loss_G: 0.003600 Loss_D_real: 0.002061 Loss_D_fake 0.030574
[456/5000][205/535][46804] Loss_D: -0.026786 Loss_G: 0.019359 Loss_D_real: -0.023603 Loss_D_fake 0.003183
[456/5000][210/535][46805] Loss_D: -0.027471 Loss_G: 0.031224 Loss_D_real: -0.033791 Loss_D_fake -0.006320
[456/5000][215/535][46806] Loss_D: -0.026694 Loss_G: -0.003177 Loss_D_real: -0.005775 Loss_D_fake 0.020918
[456/5000][220/535][46807] Loss_D: -0.026902 Loss_G: 0.007367 Loss_D_real: -0.009586 Loss_D_fake 0.017316
[456/5000][225/535][46808] Loss_D: -0.026976 Loss_G: 0.005674 Loss_D_real: -0.015653 Loss_D_fake 0.011323
[456/5000][230/535][46809] Loss_D: -0.027869 Loss_G: 0.015078 Loss_D_real: -0.017499 Loss_D_fake 0.010370
[456/5000][235/535][46810] Loss_D: -0.028533 Loss_G: 0.023682 Loss_D_real: -0.029987 Loss_D_fake -0.001454
[456/5000][240/535][46811] Loss_D: -0.027582 Loss_G: 0.003641 Loss_D_real: -0.014677 Loss_D_fake 0.012905
[456/5000][245/535][46812] Loss_D: -0.028342 Loss_G: 0.016797 Loss_D_real: -0.021880 Loss_D_fake 0.006462
[456/5000][250/535][46813] Loss_D: -0.027680 Loss_G: 0.013257 Loss_D_real: -0.021984 Loss_D_fake 0.005696
[456/5000][255/535][46814] Loss_D: -0.027025 Loss_G: 0.032797 Loss_D_real: -0.028352 Loss_D_fake -0.001327
[456/5000][260/535][46815] Loss_D: -0.028365 Loss_G: 0.001732 Loss_D_real: -0.004070 Loss_D_fake 0.024295
[456/5000][265/535][46816] Loss_D: -0.025780 Loss_G: 0.011847 Loss_D_real: -0.009746 Loss_D_fake 0.016034
[456/5000][270/535][46817] Loss_D: -0.026172 Loss_G: 0.028990 Loss_D_real: -0.038458 Loss_D_fake -0.012286
[456/5000][275/535][46818] Loss_D: -0.026257 Loss_G: 0.005218 Loss_D_real: -0.008516 Loss_D_fake 0.017741
[456/5000][280/535][46819] Loss_D: -0.028255 Loss_G: 0.018829 Loss_D_real: -0.015222 Loss_D_fake 0.013033
[456/5000][285/535][46820] Loss_D: -0.027185 Loss_G: 0.003657 Loss_D_real: -0.012022 Loss_D_fake 0.015163
[456/5000][290/535][46821] Loss_D: -0.026580 Loss_G: 0.010454 Loss_D_real: -0.022673 Loss_D_fake 0.003907
[456/5000][295/535][46822] Loss_D: -0.027660 Loss_G: -0.002315 Loss_D_real: -0.009331 Loss_D_fake 0.018329
[456/5000][300/535][46823] Loss_D: -0.027762 Loss_G: 0.013907 Loss_D_real: -0.023018 Loss_D_fake 0.004743
[456/5000][305/535][46824] Loss_D: -0.027875 Loss_G: 0.017894 Loss_D_real: -0.026379 Loss_D_fake 0.001497
[456/5000][310/535][46825] Loss_D: -0.030079 Loss_G: 0.033553 Loss_D_real: -0.022231 Loss_D_fake 0.007848
[456/5000][315/535][46826] Loss_D: -0.029320 Loss_G: 0.007102 Loss_D_real: -0.021116 Loss_D_fake 0.008204
[456/5000][320/535][46827] Loss_D: -0.027778 Loss_G: 0.004535 Loss_D_real: -0.006063 Loss_D_fake 0.021714
[456/5000][325/535][46828] Loss_D: -0.028169 Loss_G: 0.010204 Loss_D_real: -0.015061 Loss_D_fake 0.013108
[456/5000][330/535][46829] Loss_D: -0.028895 Loss_G: 0.002859 Loss_D_real: -0.005692 Loss_D_fake 0.023203
[456/5000][335/535][46830] Loss_D: -0.028763 Loss_G: 0.013120 Loss_D_real: -0.018633 Loss_D_fake 0.010130
[456/5000][340/535][46831] Loss_D: -0.028137 Loss_G: -0.004090 Loss_D_real: -0.009702 Loss_D_fake 0.018435
[456/5000][345/535][46832] Loss_D: -0.028329 Loss_G: -0.000491 Loss_D_real: -0.003625 Loss_D_fake 0.024704
[456/5000][350/535][46833] Loss_D: -0.028742 Loss_G: 0.027512 Loss_D_real: -0.020692 Loss_D_fake 0.008049
[456/5000][355/535][46834] Loss_D: -0.028212 Loss_G: 0.033477 Loss_D_real: -0.036450 Loss_D_fake -0.008238
[456/5000][360/535][46835] Loss_D: -0.027926 Loss_G: 0.004452 Loss_D_real: -0.014602 Loss_D_fake 0.013325
[456/5000][365/535][46836] Loss_D: -0.028466 Loss_G: 0.025478 Loss_D_real: -0.023344 Loss_D_fake 0.005121
[456/5000][370/535][46837] Loss_D: -0.028225 Loss_G: 0.021783 Loss_D_real: -0.021948 Loss_D_fake 0.006277
[456/5000][375/535][46838] Loss_D: -0.027355 Loss_G: 0.002949 Loss_D_real: -0.012444 Loss_D_fake 0.014911
[456/5000][380/535][46839] Loss_D: -0.027003 Loss_G: 0.004871 Loss_D_real: -0.006014 Loss_D_fake 0.020989
[456/5000][385/535][46840] Loss_D: -0.026556 Loss_G: 0.031119 Loss_D_real: -0.033952 Loss_D_fake -0.007395
[456/5000][390/535][46841] Loss_D: -0.025831 Loss_G: -0.013388 Loss_D_real: -0.002857 Loss_D_fake 0.022974
[456/5000][395/535][46842] Loss_D: -0.027281 Loss_G: 0.025031 Loss_D_real: -0.032713 Loss_D_fake -0.005432
[456/5000][400/535][46843] Loss_D: -0.026886 Loss_G: 0.005091 Loss_D_real: -0.021738 Loss_D_fake 0.005148
[456/5000][405/535][46844] Loss_D: -0.027245 Loss_G: 0.032323 Loss_D_real: -0.023515 Loss_D_fake 0.003730
[456/5000][410/535][46845] Loss_D: -0.027403 Loss_G: 0.002882 Loss_D_real: -0.018958 Loss_D_fake 0.008445
[456/5000][415/535][46846] Loss_D: -0.026849 Loss_G: 0.033683 Loss_D_real: -0.033559 Loss_D_fake -0.006711
[456/5000][420/535][46847] Loss_D: -0.027449 Loss_G: -0.008162 Loss_D_real: 0.006931 Loss_D_fake 0.034380
[456/5000][425/535][46848] Loss_D: -0.026397 Loss_G: 0.027001 Loss_D_real: -0.027885 Loss_D_fake -0.001488
[456/5000][430/535][46849] Loss_D: -0.027683 Loss_G: 0.009443 Loss_D_real: -0.000810 Loss_D_fake 0.026874
[456/5000][435/535][46850] Loss_D: -0.028278 Loss_G: 0.031578 Loss_D_real: -0.033150 Loss_D_fake -0.004873
[456/5000][440/535][46851] Loss_D: -0.028818 Loss_G: 0.022527 Loss_D_real: -0.017950 Loss_D_fake 0.010868
[456/5000][445/535][46852] Loss_D: -0.026500 Loss_G: 0.029312 Loss_D_real: -0.027972 Loss_D_fake -0.001471
[456/5000][450/535][46853] Loss_D: -0.026208 Loss_G: -0.015937 Loss_D_real: 0.013949 Loss_D_fake 0.040157
[456/5000][455/535][46854] Loss_D: -0.026352 Loss_G: 0.015414 Loss_D_real: -0.032270 Loss_D_fake -0.005918
[456/5000][460/535][46855] Loss_D: -0.027596 Loss_G: 0.013665 Loss_D_real: -0.024481 Loss_D_fake 0.003116
[456/5000][465/535][46856] Loss_D: -0.026887 Loss_G: 0.016988 Loss_D_real: -0.013187 Loss_D_fake 0.013700
[456/5000][470/535][46857] Loss_D: -0.027932 Loss_G: 0.020408 Loss_D_real: -0.013421 Loss_D_fake 0.014512
[456/5000][475/535][46858] Loss_D: -0.025463 Loss_G: 0.034635 Loss_D_real: -0.023409 Loss_D_fake 0.002054
[456/5000][480/535][46859] Loss_D: -0.026700 Loss_G: 0.011492 Loss_D_real: -0.010454 Loss_D_fake 0.016246
[456/5000][485/535][46860] Loss_D: -0.027372 Loss_G: 0.015914 Loss_D_real: -0.017859 Loss_D_fake 0.009513
[456/5000][490/535][46861] Loss_D: -0.027418 Loss_G: 0.017095 Loss_D_real: -0.024083 Loss_D_fake 0.003334
[456/5000][495/535][46862] Loss_D: -0.027050 Loss_G: 0.010021 Loss_D_real: -0.009272 Loss_D_fake 0.017778
[456/5000][500/535][46863] Loss_D: -0.027849 Loss_G: 0.019349 Loss_D_real: -0.015276 Loss_D_fake 0.012573
[456/5000][505/535][46864] Loss_D: -0.028678 Loss_G: 0.016500 Loss_D_real: -0.014693 Loss_D_fake 0.013985
[456/5000][510/535][46865] Loss_D: -0.026457 Loss_G: 0.035448 Loss_D_real: -0.037447 Loss_D_fake -0.010990
[456/5000][515/535][46866] Loss_D: -0.027244 Loss_G: 0.022498 Loss_D_real: -0.024711 Loss_D_fake 0.002533
[456/5000][520/535][46867] Loss_D: -0.028168 Loss_G: -0.002324 Loss_D_real: -0.002513 Loss_D_fake 0.025654
[456/5000][525/535][46868] Loss_D: -0.027549 Loss_G: 0.033275 Loss_D_real: -0.022030 Loss_D_fake 0.005519
[456/5000][530/535][46869] Loss_D: -0.026102 Loss_G: 0.009208 Loss_D_real: -0.007431 Loss_D_fake 0.018671
[456/5000][535/535][46870] Loss_D: -0.026147 Loss_G: -0.019853 Loss_D_real: -0.007088 Loss_D_fake 0.019059
[457/5000][5/535][46871] Loss_D: -0.027578 Loss_G: 0.004730 Loss_D_real: -0.009705 Loss_D_fake 0.017873
[457/5000][10/535][46872] Loss_D: -0.027150 Loss_G: 0.014912 Loss_D_real: -0.021472 Loss_D_fake 0.005677
[457/5000][15/535][46873] Loss_D: -0.028858 Loss_G: -0.003116 Loss_D_real: -0.009278 Loss_D_fake 0.019581
[457/5000][20/535][46874] Loss_D: -0.028937 Loss_G: 0.013255 Loss_D_real: -0.016489 Loss_D_fake 0.012448
[457/5000][25/535][46875] Loss_D: -0.027213 Loss_G: 0.022391 Loss_D_real: -0.032404 Loss_D_fake -0.005191
[457/5000][30/535][46876] Loss_D: -0.027960 Loss_G: 0.007865 Loss_D_real: -0.011155 Loss_D_fake 0.016806
[457/5000][35/535][46877] Loss_D: -0.025414 Loss_G: 0.011978 Loss_D_real: -0.019852 Loss_D_fake 0.005562
[457/5000][40/535][46878] Loss_D: -0.027744 Loss_G: 0.011328 Loss_D_real: -0.013541 Loss_D_fake 0.014203
[457/5000][45/535][46879] Loss_D: -0.027541 Loss_G: 0.013385 Loss_D_real: -0.016455 Loss_D_fake 0.011085
[457/5000][50/535][46880] Loss_D: -0.027301 Loss_G: 0.028411 Loss_D_real: -0.031550 Loss_D_fake -0.004249
[457/5000][55/535][46881] Loss_D: -0.028448 Loss_G: 0.011440 Loss_D_real: -0.020804 Loss_D_fake 0.007644
[457/5000][60/535][46882] Loss_D: -0.028876 Loss_G: 0.040052 Loss_D_real: -0.026835 Loss_D_fake 0.002041
[457/5000][65/535][46883] Loss_D: -0.028152 Loss_G: -0.004539 Loss_D_real: -0.003914 Loss_D_fake 0.024238
[457/5000][70/535][46884] Loss_D: -0.025622 Loss_G: 0.027967 Loss_D_real: -0.034382 Loss_D_fake -0.008760
[457/5000][75/535][46885] Loss_D: -0.028575 Loss_G: 0.002083 Loss_D_real: -0.015165 Loss_D_fake 0.013409
[457/5000][80/535][46886] Loss_D: -0.027208 Loss_G: 0.025799 Loss_D_real: -0.027035 Loss_D_fake 0.000173
[457/5000][85/535][46887] Loss_D: -0.027147 Loss_G: 0.003683 Loss_D_real: -0.019444 Loss_D_fake 0.007703
[457/5000][90/535][46888] Loss_D: -0.027347 Loss_G: 0.034276 Loss_D_real: -0.032423 Loss_D_fake -0.005077
[457/5000][95/535][46889] Loss_D: -0.026590 Loss_G: -0.002461 Loss_D_real: -0.000744 Loss_D_fake 0.025846
[457/5000][100/535][46890] Loss_D: -0.026618 Loss_G: 0.024541 Loss_D_real: -0.027457 Loss_D_fake -0.000838
[457/5000][105/535][46891] Loss_D: -0.027900 Loss_G: 0.030271 Loss_D_real: -0.030858 Loss_D_fake -0.002958
[457/5000][110/535][46892] Loss_D: -0.028598 Loss_G: 0.015553 Loss_D_real: -0.024614 Loss_D_fake 0.003984
[457/5000][115/535][46893] Loss_D: -0.029614 Loss_G: 0.003805 Loss_D_real: -0.019492 Loss_D_fake 0.010121
[457/5000][120/535][46894] Loss_D: -0.026081 Loss_G: 0.030105 Loss_D_real: -0.037183 Loss_D_fake -0.011102
[457/5000][125/535][46895] Loss_D: -0.028183 Loss_G: -0.000862 Loss_D_real: -0.005014 Loss_D_fake 0.023169
[457/5000][130/535][46896] Loss_D: -0.025365 Loss_G: 0.006466 Loss_D_real: -0.014071 Loss_D_fake 0.011294
[457/5000][135/535][46897] Loss_D: -0.026401 Loss_G: 0.028657 Loss_D_real: -0.033248 Loss_D_fake -0.006847
[457/5000][140/535][46898] Loss_D: -0.028978 Loss_G: 0.022802 Loss_D_real: -0.020937 Loss_D_fake 0.008042
[457/5000][145/535][46899] Loss_D: -0.027459 Loss_G: 0.000823 Loss_D_real: 0.003941 Loss_D_fake 0.031400
[457/5000][150/535][46900] Loss_D: -0.025915 Loss_G: 0.015698 Loss_D_real: -0.023388 Loss_D_fake 0.002526
[457/5000][155/535][46901] Loss_D: -0.028442 Loss_G: 0.020234 Loss_D_real: -0.018510 Loss_D_fake 0.009932
[457/5000][160/535][46902] Loss_D: -0.027237 Loss_G: -0.000210 Loss_D_real: -0.007056 Loss_D_fake 0.020182
[457/5000][165/535][46903] Loss_D: -0.026918 Loss_G: 0.022075 Loss_D_real: -0.026728 Loss_D_fake 0.000189
[457/5000][170/535][46904] Loss_D: -0.028991 Loss_G: 0.027853 Loss_D_real: -0.025722 Loss_D_fake 0.003270
[457/5000][175/535][46905] Loss_D: -0.027831 Loss_G: 0.019694 Loss_D_real: -0.021438 Loss_D_fake 0.006394
[457/5000][180/535][46906] Loss_D: -0.028163 Loss_G: 0.004970 Loss_D_real: -0.017131 Loss_D_fake 0.011033
[457/5000][185/535][46907] Loss_D: -0.026839 Loss_G: 0.028226 Loss_D_real: -0.022325 Loss_D_fake 0.004514
[457/5000][190/535][46908] Loss_D: -0.028818 Loss_G: 0.016036 Loss_D_real: -0.021674 Loss_D_fake 0.007143
[457/5000][195/535][46909] Loss_D: -0.026108 Loss_G: -0.006262 Loss_D_real: 0.002665 Loss_D_fake 0.028773
[457/5000][200/535][46910] Loss_D: -0.026806 Loss_G: 0.013237 Loss_D_real: -0.014138 Loss_D_fake 0.012668
[457/5000][205/535][46911] Loss_D: -0.028201 Loss_G: -0.006718 Loss_D_real: -0.001775 Loss_D_fake 0.026426
[457/5000][210/535][46912] Loss_D: -0.026943 Loss_G: 0.037597 Loss_D_real: -0.027074 Loss_D_fake -0.000131
[457/5000][215/535][46913] Loss_D: -0.025567 Loss_G: 0.035217 Loss_D_real: -0.026662 Loss_D_fake -0.001095
[457/5000][220/535][46914] Loss_D: -0.029007 Loss_G: 0.024695 Loss_D_real: -0.029182 Loss_D_fake -0.000174
[457/5000][225/535][46915] Loss_D: -0.028206 Loss_G: -0.003599 Loss_D_real: -0.008022 Loss_D_fake 0.020184
[457/5000][230/535][46916] Loss_D: -0.028526 Loss_G: 0.006423 Loss_D_real: -0.020668 Loss_D_fake 0.007858
[457/5000][235/535][46917] Loss_D: -0.026554 Loss_G: 0.006506 Loss_D_real: -0.004981 Loss_D_fake 0.021573
[457/5000][240/535][46918] Loss_D: -0.028097 Loss_G: 0.022342 Loss_D_real: -0.021212 Loss_D_fake 0.006885
[457/5000][245/535][46919] Loss_D: -0.026774 Loss_G: 0.037380 Loss_D_real: -0.028716 Loss_D_fake -0.001942
[457/5000][250/535][46920] Loss_D: -0.027664 Loss_G: 0.012891 Loss_D_real: -0.006627 Loss_D_fake 0.021037
[457/5000][255/535][46921] Loss_D: -0.028344 Loss_G: 0.015840 Loss_D_real: -0.008664 Loss_D_fake 0.019680
[457/5000][260/535][46922] Loss_D: -0.027316 Loss_G: 0.033547 Loss_D_real: -0.030227 Loss_D_fake -0.002910
[457/5000][265/535][46923] Loss_D: -0.028828 Loss_G: 0.017718 Loss_D_real: -0.012243 Loss_D_fake 0.016585
[457/5000][270/535][46924] Loss_D: -0.028463 Loss_G: 0.007963 Loss_D_real: -0.011984 Loss_D_fake 0.016479
[457/5000][275/535][46925] Loss_D: -0.028415 Loss_G: 0.018051 Loss_D_real: -0.014671 Loss_D_fake 0.013744
[457/5000][280/535][46926] Loss_D: -0.027467 Loss_G: 0.029652 Loss_D_real: -0.033680 Loss_D_fake -0.006213
[457/5000][285/535][46927] Loss_D: -0.029130 Loss_G: 0.004812 Loss_D_real: -0.019063 Loss_D_fake 0.010067
[457/5000][290/535][46928] Loss_D: -0.027065 Loss_G: 0.029174 Loss_D_real: -0.030771 Loss_D_fake -0.003706
[457/5000][295/535][46929] Loss_D: -0.028756 Loss_G: 0.015497 Loss_D_real: -0.021592 Loss_D_fake 0.007163
[457/5000][300/535][46930] Loss_D: -0.027623 Loss_G: 0.011180 Loss_D_real: -0.010358 Loss_D_fake 0.017266
[457/5000][305/535][46931] Loss_D: -0.029150 Loss_G: 0.009318 Loss_D_real: -0.017429 Loss_D_fake 0.011721
[457/5000][310/535][46932] Loss_D: -0.027243 Loss_G: -0.011443 Loss_D_real: -0.001549 Loss_D_fake 0.025695
[457/5000][315/535][46933] Loss_D: -0.028165 Loss_G: 0.023196 Loss_D_real: -0.026573 Loss_D_fake 0.001593
[457/5000][320/535][46934] Loss_D: -0.028653 Loss_G: 0.030975 Loss_D_real: -0.021359 Loss_D_fake 0.007294
[457/5000][325/535][46935] Loss_D: -0.027106 Loss_G: 0.004892 Loss_D_real: -0.011275 Loss_D_fake 0.015831
[457/5000][330/535][46936] Loss_D: -0.027545 Loss_G: 0.003719 Loss_D_real: -0.002387 Loss_D_fake 0.025158
[457/5000][335/535][46937] Loss_D: -0.026579 Loss_G: 0.020017 Loss_D_real: -0.015764 Loss_D_fake 0.010815
[457/5000][340/535][46938] Loss_D: -0.026524 Loss_G: 0.014611 Loss_D_real: -0.013930 Loss_D_fake 0.012594
[457/5000][345/535][46939] Loss_D: -0.028324 Loss_G: 0.023185 Loss_D_real: -0.015318 Loss_D_fake 0.013006
[457/5000][350/535][46940] Loss_D: -0.026095 Loss_G: -0.000391 Loss_D_real: 0.000648 Loss_D_fake 0.026744
[457/5000][355/535][46941] Loss_D: -0.027291 Loss_G: 0.005627 Loss_D_real: -0.007201 Loss_D_fake 0.020090
[457/5000][360/535][46942] Loss_D: -0.027417 Loss_G: 0.009110 Loss_D_real: -0.023114 Loss_D_fake 0.004303
[457/5000][365/535][46943] Loss_D: -0.027909 Loss_G: 0.021415 Loss_D_real: -0.025216 Loss_D_fake 0.002692
[457/5000][370/535][46944] Loss_D: -0.027460 Loss_G: 0.025279 Loss_D_real: -0.022591 Loss_D_fake 0.004869
[457/5000][375/535][46945] Loss_D: -0.027721 Loss_G: 0.011382 Loss_D_real: -0.020864 Loss_D_fake 0.006858
[457/5000][380/535][46946] Loss_D: -0.026990 Loss_G: -0.021107 Loss_D_real: -0.006497 Loss_D_fake 0.020493
[457/5000][385/535][46947] Loss_D: -0.027308 Loss_G: 0.008928 Loss_D_real: -0.017432 Loss_D_fake 0.009876
[457/5000][390/535][46948] Loss_D: -0.026368 Loss_G: 0.023386 Loss_D_real: -0.030517 Loss_D_fake -0.004149
[457/5000][395/535][46949] Loss_D: -0.027672 Loss_G: 0.009572 Loss_D_real: -0.012566 Loss_D_fake 0.015106
[457/5000][400/535][46950] Loss_D: -0.028684 Loss_G: 0.011285 Loss_D_real: -0.019499 Loss_D_fake 0.009184
[457/5000][405/535][46951] Loss_D: -0.027686 Loss_G: 0.022573 Loss_D_real: -0.028355 Loss_D_fake -0.000669
[457/5000][410/535][46952] Loss_D: -0.028988 Loss_G: 0.020601 Loss_D_real: -0.018311 Loss_D_fake 0.010678
[457/5000][415/535][46953] Loss_D: -0.027303 Loss_G: -0.006389 Loss_D_real: -0.003470 Loss_D_fake 0.023833
[457/5000][420/535][46954] Loss_D: -0.028526 Loss_G: 0.030593 Loss_D_real: -0.019056 Loss_D_fake 0.009470
[457/5000][425/535][46955] Loss_D: -0.026819 Loss_G: 0.014691 Loss_D_real: -0.020638 Loss_D_fake 0.006181
[457/5000][430/535][46956] Loss_D: -0.027016 Loss_G: 0.018338 Loss_D_real: -0.021685 Loss_D_fake 0.005331
[457/5000][435/535][46957] Loss_D: -0.028187 Loss_G: 0.013926 Loss_D_real: -0.012246 Loss_D_fake 0.015941
[457/5000][440/535][46958] Loss_D: -0.027918 Loss_G: 0.010992 Loss_D_real: -0.013169 Loss_D_fake 0.014749
[457/5000][445/535][46959] Loss_D: -0.027651 Loss_G: 0.029807 Loss_D_real: -0.027966 Loss_D_fake -0.000315
[457/5000][450/535][46960] Loss_D: -0.025021 Loss_G: 0.038734 Loss_D_real: -0.038536 Loss_D_fake -0.013515
[457/5000][455/535][46961] Loss_D: -0.026492 Loss_G: 0.016805 Loss_D_real: -0.023444 Loss_D_fake 0.003048
[457/5000][460/535][46962] Loss_D: -0.026089 Loss_G: 0.030426 Loss_D_real: -0.029193 Loss_D_fake -0.003104
[457/5000][465/535][46963] Loss_D: -0.025035 Loss_G: 0.035113 Loss_D_real: -0.036815 Loss_D_fake -0.011780
[457/5000][470/535][46964] Loss_D: -0.027025 Loss_G: 0.003346 Loss_D_real: -0.014800 Loss_D_fake 0.012226
[457/5000][475/535][46965] Loss_D: -0.027038 Loss_G: 0.003991 Loss_D_real: -0.010216 Loss_D_fake 0.016822
[457/5000][480/535][46966] Loss_D: -0.026995 Loss_G: -0.007951 Loss_D_real: -0.008032 Loss_D_fake 0.018963
[457/5000][485/535][46967] Loss_D: -0.027050 Loss_G: 0.015268 Loss_D_real: -0.018332 Loss_D_fake 0.008718
[457/5000][490/535][46968] Loss_D: -0.028744 Loss_G: 0.029191 Loss_D_real: -0.022057 Loss_D_fake 0.006687
[457/5000][495/535][46969] Loss_D: -0.026934 Loss_G: -0.003975 Loss_D_real: -0.002038 Loss_D_fake 0.024897
[457/5000][500/535][46970] Loss_D: -0.027281 Loss_G: 0.004882 Loss_D_real: -0.019310 Loss_D_fake 0.007971
[457/5000][505/535][46971] Loss_D: -0.027405 Loss_G: 0.014814 Loss_D_real: -0.013609 Loss_D_fake 0.013796
[457/5000][510/535][46972] Loss_D: -0.026320 Loss_G: -0.002212 Loss_D_real: -0.012860 Loss_D_fake 0.013460
[457/5000][515/535][46973] Loss_D: -0.027336 Loss_G: 0.018982 Loss_D_real: -0.020386 Loss_D_fake 0.006950
[457/5000][520/535][46974] Loss_D: -0.026569 Loss_G: 0.031260 Loss_D_real: -0.030397 Loss_D_fake -0.003828
[457/5000][525/535][46975] Loss_D: -0.025595 Loss_G: 0.025582 Loss_D_real: -0.027089 Loss_D_fake -0.001494
[457/5000][530/535][46976] Loss_D: -0.027309 Loss_G: -0.003921 Loss_D_real: -0.004616 Loss_D_fake 0.022693
[457/5000][535/535][46977] Loss_D: -0.027304 Loss_G: 0.022579 Loss_D_real: -0.022413 Loss_D_fake 0.004891
[458/5000][5/535][46978] Loss_D: -0.025522 Loss_G: 0.034592 Loss_D_real: -0.028768 Loss_D_fake -0.003246
[458/5000][10/535][46979] Loss_D: -0.028000 Loss_G: 0.009750 Loss_D_real: -0.015780 Loss_D_fake 0.012220
[458/5000][15/535][46980] Loss_D: -0.027049 Loss_G: -0.004914 Loss_D_real: -0.004174 Loss_D_fake 0.022875
[458/5000][20/535][46981] Loss_D: -0.027576 Loss_G: 0.025546 Loss_D_real: -0.034316 Loss_D_fake -0.006740
[458/5000][25/535][46982] Loss_D: -0.027830 Loss_G: 0.008064 Loss_D_real: -0.002051 Loss_D_fake 0.025779
[458/5000][30/535][46983] Loss_D: -0.028431 Loss_G: 0.001825 Loss_D_real: -0.014427 Loss_D_fake 0.014003
[458/5000][35/535][46984] Loss_D: -0.028561 Loss_G: 0.022986 Loss_D_real: -0.022928 Loss_D_fake 0.005633
[458/5000][40/535][46985] Loss_D: -0.027055 Loss_G: 0.029398 Loss_D_real: -0.030044 Loss_D_fake -0.002989
[458/5000][45/535][46986] Loss_D: -0.027750 Loss_G: 0.026140 Loss_D_real: -0.031404 Loss_D_fake -0.003654
[458/5000][50/535][46987] Loss_D: -0.027719 Loss_G: 0.002748 Loss_D_real: -0.003221 Loss_D_fake 0.024498
[458/5000][55/535][46988] Loss_D: -0.028269 Loss_G: 0.013046 Loss_D_real: -0.010647 Loss_D_fake 0.017623
[458/5000][60/535][46989] Loss_D: -0.026507 Loss_G: 0.018868 Loss_D_real: -0.028583 Loss_D_fake -0.002075
[458/5000][65/535][46990] Loss_D: -0.027308 Loss_G: 0.002222 Loss_D_real: 0.000665 Loss_D_fake 0.027973
[458/5000][70/535][46991] Loss_D: -0.025396 Loss_G: 0.033698 Loss_D_real: -0.032960 Loss_D_fake -0.007565
[458/5000][75/535][46992] Loss_D: -0.026855 Loss_G: -0.006620 Loss_D_real: -0.006424 Loss_D_fake 0.020431
[458/5000][80/535][46993] Loss_D: -0.026713 Loss_G: 0.004116 Loss_D_real: -0.014831 Loss_D_fake 0.011882
[458/5000][85/535][46994] Loss_D: -0.026786 Loss_G: 0.011993 Loss_D_real: -0.012799 Loss_D_fake 0.013988
[458/5000][90/535][46995] Loss_D: -0.028701 Loss_G: 0.008900 Loss_D_real: -0.011142 Loss_D_fake 0.017558
[458/5000][95/535][46996] Loss_D: -0.027186 Loss_G: 0.009447 Loss_D_real: -0.015165 Loss_D_fake 0.012021
[458/5000][100/535][46997] Loss_D: -0.027149 Loss_G: 0.002787 Loss_D_real: -0.011328 Loss_D_fake 0.015821
[458/5000][105/535][46998] Loss_D: -0.028475 Loss_G: 0.029243 Loss_D_real: -0.024289 Loss_D_fake 0.004186
[458/5000][110/535][46999] Loss_D: -0.027327 Loss_G: 0.008469 Loss_D_real: -0.012814 Loss_D_fake 0.014514
[458/5000][115/535][47000] Loss_D: -0.028780 Loss_G: 0.013653 Loss_D_real: -0.015805 Loss_D_fake 0.012975
[458/5000][215/535][47001] Loss_D: -0.031038 Loss_G: 0.025518 Loss_D_real: -0.033520 Loss_D_fake -0.002482
[458/5000][220/535][47002] Loss_D: -0.028001 Loss_G: 0.018933 Loss_D_real: -0.018505 Loss_D_fake 0.009496
[458/5000][225/535][47003] Loss_D: -0.026845 Loss_G: 0.011777 Loss_D_real: -0.029316 Loss_D_fake -0.002471
[458/5000][230/535][47004] Loss_D: -0.024174 Loss_G: 0.014650 Loss_D_real: -0.020604 Loss_D_fake 0.003570
[458/5000][235/535][47005] Loss_D: -0.025925 Loss_G: 0.027882 Loss_D_real: -0.027021 Loss_D_fake -0.001096
[458/5000][240/535][47006] Loss_D: -0.026454 Loss_G: -0.002169 Loss_D_real: -0.010441 Loss_D_fake 0.016013
[458/5000][245/535][47007] Loss_D: -0.026147 Loss_G: 0.023376 Loss_D_real: -0.028424 Loss_D_fake -0.002277
[458/5000][250/535][47008] Loss_D: -0.027517 Loss_G: 0.020742 Loss_D_real: -0.013479 Loss_D_fake 0.014038
[458/5000][255/535][47009] Loss_D: -0.025114 Loss_G: 0.021939 Loss_D_real: -0.016901 Loss_D_fake 0.008213
[458/5000][260/535][47010] Loss_D: -0.025151 Loss_G: 0.009562 Loss_D_real: -0.011401 Loss_D_fake 0.013750
[458/5000][265/535][47011] Loss_D: -0.027041 Loss_G: 0.024134 Loss_D_real: -0.024322 Loss_D_fake 0.002719
[458/5000][270/535][47012] Loss_D: -0.028001 Loss_G: -0.000969 Loss_D_real: -0.000115 Loss_D_fake 0.027886
[458/5000][275/535][47013] Loss_D: -0.026276 Loss_G: 0.009314 Loss_D_real: -0.014199 Loss_D_fake 0.012076
[458/5000][280/535][47014] Loss_D: -0.024250 Loss_G: 0.036624 Loss_D_real: -0.036886 Loss_D_fake -0.012635
[458/5000][285/535][47015] Loss_D: -0.027343 Loss_G: 0.022261 Loss_D_real: -0.022821 Loss_D_fake 0.004523
[458/5000][290/535][47016] Loss_D: -0.027130 Loss_G: 0.028439 Loss_D_real: -0.026856 Loss_D_fake 0.000274
[458/5000][295/535][47017] Loss_D: -0.027776 Loss_G: 0.022297 Loss_D_real: -0.026540 Loss_D_fake 0.001236
[458/5000][300/535][47018] Loss_D: -0.028285 Loss_G: 0.015621 Loss_D_real: -0.020015 Loss_D_fake 0.008270
[458/5000][305/535][47019] Loss_D: -0.027694 Loss_G: 0.025621 Loss_D_real: -0.021653 Loss_D_fake 0.006041
[458/5000][310/535][47020] Loss_D: -0.025653 Loss_G: 0.007882 Loss_D_real: -0.014375 Loss_D_fake 0.011278
[458/5000][315/535][47021] Loss_D: -0.028762 Loss_G: 0.000807 Loss_D_real: -0.018842 Loss_D_fake 0.009919
[458/5000][320/535][47022] Loss_D: -0.026029 Loss_G: 0.020489 Loss_D_real: -0.023438 Loss_D_fake 0.002591
[458/5000][325/535][47023] Loss_D: -0.027457 Loss_G: -0.001400 Loss_D_real: -0.011948 Loss_D_fake 0.015509
[458/5000][330/535][47024] Loss_D: -0.027469 Loss_G: 0.008012 Loss_D_real: -0.006574 Loss_D_fake 0.020896
[458/5000][335/535][47025] Loss_D: -0.028746 Loss_G: 0.014979 Loss_D_real: -0.016232 Loss_D_fake 0.012514
[458/5000][340/535][47026] Loss_D: -0.028017 Loss_G: 0.009132 Loss_D_real: -0.012874 Loss_D_fake 0.015143
[458/5000][345/535][47027] Loss_D: -0.027028 Loss_G: 0.006217 Loss_D_real: -0.019557 Loss_D_fake 0.007472
[458/5000][350/535][47028] Loss_D: -0.026267 Loss_G: 0.037895 Loss_D_real: -0.027113 Loss_D_fake -0.000845
[458/5000][355/535][47029] Loss_D: -0.029184 Loss_G: 0.011113 Loss_D_real: -0.016144 Loss_D_fake 0.013040
[458/5000][360/535][47030] Loss_D: -0.028386 Loss_G: 0.016371 Loss_D_real: -0.014499 Loss_D_fake 0.013887
[458/5000][365/535][47031] Loss_D: -0.028437 Loss_G: 0.014219 Loss_D_real: -0.020668 Loss_D_fake 0.007769
[458/5000][370/535][47032] Loss_D: -0.027766 Loss_G: 0.002254 Loss_D_real: -0.011190 Loss_D_fake 0.016576
[458/5000][375/535][47033] Loss_D: -0.025678 Loss_G: 0.032603 Loss_D_real: -0.029499 Loss_D_fake -0.003822
[458/5000][380/535][47034] Loss_D: -0.028061 Loss_G: 0.019279 Loss_D_real: -0.014224 Loss_D_fake 0.013837
[458/5000][385/535][47035] Loss_D: -0.027233 Loss_G: -0.005923 Loss_D_real: -0.005676 Loss_D_fake 0.021557
[458/5000][390/535][47036] Loss_D: -0.027013 Loss_G: 0.015444 Loss_D_real: -0.022473 Loss_D_fake 0.004541
[458/5000][395/535][47037] Loss_D: -0.025137 Loss_G: 0.013955 Loss_D_real: -0.023560 Loss_D_fake 0.001576
[458/5000][400/535][47038] Loss_D: -0.026512 Loss_G: -0.009938 Loss_D_real: -0.003056 Loss_D_fake 0.023456
[458/5000][405/535][47039] Loss_D: -0.027003 Loss_G: 0.009083 Loss_D_real: -0.018373 Loss_D_fake 0.008630
[458/5000][410/535][47040] Loss_D: -0.026485 Loss_G: 0.000264 Loss_D_real: -0.008802 Loss_D_fake 0.017683
[458/5000][415/535][47041] Loss_D: -0.026055 Loss_G: 0.032354 Loss_D_real: -0.029417 Loss_D_fake -0.003362
[458/5000][420/535][47042] Loss_D: -0.026803 Loss_G: 0.000845 Loss_D_real: -0.012309 Loss_D_fake 0.014494
[458/5000][425/535][47043] Loss_D: -0.027553 Loss_G: 0.021745 Loss_D_real: -0.024248 Loss_D_fake 0.003305
[458/5000][430/535][47044] Loss_D: -0.026140 Loss_G: 0.036986 Loss_D_real: -0.032324 Loss_D_fake -0.006185
[458/5000][435/535][47045] Loss_D: -0.028303 Loss_G: -0.005730 Loss_D_real: -0.010355 Loss_D_fake 0.017948
[458/5000][440/535][47046] Loss_D: -0.026050 Loss_G: 0.023066 Loss_D_real: -0.023478 Loss_D_fake 0.002572
[458/5000][445/535][47047] Loss_D: -0.026190 Loss_G: 0.028756 Loss_D_real: -0.026250 Loss_D_fake -0.000060
[458/5000][450/535][47048] Loss_D: -0.025462 Loss_G: 0.015676 Loss_D_real: -0.026388 Loss_D_fake -0.000927
[458/5000][455/535][47049] Loss_D: -0.027601 Loss_G: 0.022141 Loss_D_real: -0.018671 Loss_D_fake 0.008930
[458/5000][460/535][47050] Loss_D: -0.025249 Loss_G: 0.006139 Loss_D_real: -0.012590 Loss_D_fake 0.012659
[458/5000][465/535][47051] Loss_D: -0.026492 Loss_G: -0.001488 Loss_D_real: -0.001648 Loss_D_fake 0.024844
[458/5000][470/535][47052] Loss_D: -0.026652 Loss_G: 0.022540 Loss_D_real: -0.034547 Loss_D_fake -0.007895
[458/5000][475/535][47053] Loss_D: -0.026942 Loss_G: 0.030852 Loss_D_real: -0.025531 Loss_D_fake 0.001411
[458/5000][480/535][47054] Loss_D: -0.027335 Loss_G: 0.021578 Loss_D_real: -0.022957 Loss_D_fake 0.004378
[458/5000][485/535][47055] Loss_D: -0.026643 Loss_G: 0.034871 Loss_D_real: -0.026292 Loss_D_fake 0.000351
[458/5000][490/535][47056] Loss_D: -0.026427 Loss_G: 0.035802 Loss_D_real: -0.030850 Loss_D_fake -0.004423
[458/5000][495/535][47057] Loss_D: -0.029459 Loss_G: 0.002202 Loss_D_real: -0.016232 Loss_D_fake 0.013227
[458/5000][500/535][47058] Loss_D: -0.026676 Loss_G: 0.014076 Loss_D_real: -0.019701 Loss_D_fake 0.006975
[458/5000][505/535][47059] Loss_D: -0.026578 Loss_G: -0.011191 Loss_D_real: 0.003016 Loss_D_fake 0.029593
[458/5000][510/535][47060] Loss_D: -0.026939 Loss_G: 0.028549 Loss_D_real: -0.021481 Loss_D_fake 0.005458
[458/5000][515/535][47061] Loss_D: -0.027291 Loss_G: 0.018309 Loss_D_real: -0.034690 Loss_D_fake -0.007400
[458/5000][520/535][47062] Loss_D: -0.029557 Loss_G: 0.005004 Loss_D_real: -0.017232 Loss_D_fake 0.012325
[458/5000][525/535][47063] Loss_D: -0.027098 Loss_G: 0.012021 Loss_D_real: -0.018112 Loss_D_fake 0.008986
[458/5000][530/535][47064] Loss_D: -0.028103 Loss_G: 0.027256 Loss_D_real: -0.026369 Loss_D_fake 0.001734
[458/5000][535/535][47065] Loss_D: -0.026119 Loss_G: -0.011183 Loss_D_real: 0.003340 Loss_D_fake 0.029459
[459/5000][5/535][47066] Loss_D: -0.029023 Loss_G: 0.022452 Loss_D_real: -0.024230 Loss_D_fake 0.004793
[459/5000][10/535][47067] Loss_D: -0.027409 Loss_G: 0.029375 Loss_D_real: -0.026744 Loss_D_fake 0.000665
[459/5000][15/535][47068] Loss_D: -0.025440 Loss_G: -0.010737 Loss_D_real: 0.002747 Loss_D_fake 0.028187
[459/5000][20/535][47069] Loss_D: -0.027768 Loss_G: 0.010204 Loss_D_real: -0.010829 Loss_D_fake 0.016939
[459/5000][25/535][47070] Loss_D: -0.027793 Loss_G: 0.002013 Loss_D_real: -0.005990 Loss_D_fake 0.021803
[459/5000][30/535][47071] Loss_D: -0.027900 Loss_G: 0.001150 Loss_D_real: -0.006328 Loss_D_fake 0.021571
[459/5000][35/535][47072] Loss_D: -0.029597 Loss_G: 0.011584 Loss_D_real: -0.022835 Loss_D_fake 0.006762
[459/5000][40/535][47073] Loss_D: -0.027547 Loss_G: 0.014594 Loss_D_real: -0.012033 Loss_D_fake 0.015514
[459/5000][45/535][47074] Loss_D: -0.027281 Loss_G: 0.003302 Loss_D_real: -0.013959 Loss_D_fake 0.013322
[459/5000][50/535][47075] Loss_D: -0.027466 Loss_G: 0.012666 Loss_D_real: -0.007516 Loss_D_fake 0.019950
[459/5000][55/535][47076] Loss_D: -0.028044 Loss_G: 0.004080 Loss_D_real: -0.011274 Loss_D_fake 0.016770
[459/5000][60/535][47077] Loss_D: -0.027334 Loss_G: 0.012283 Loss_D_real: -0.021910 Loss_D_fake 0.005424
[459/5000][65/535][47078] Loss_D: -0.026303 Loss_G: -0.008552 Loss_D_real: -0.006441 Loss_D_fake 0.019862
[459/5000][70/535][47079] Loss_D: -0.027733 Loss_G: 0.015528 Loss_D_real: -0.007786 Loss_D_fake 0.019947
[459/5000][75/535][47080] Loss_D: -0.028215 Loss_G: 0.029432 Loss_D_real: -0.024045 Loss_D_fake 0.004170
[459/5000][80/535][47081] Loss_D: -0.024866 Loss_G: 0.024087 Loss_D_real: -0.025908 Loss_D_fake -0.001041
[459/5000][85/535][47082] Loss_D: -0.026786 Loss_G: 0.009604 Loss_D_real: -0.008257 Loss_D_fake 0.018529
[459/5000][90/535][47083] Loss_D: -0.026697 Loss_G: -0.002175 Loss_D_real: 0.003002 Loss_D_fake 0.029699
[459/5000][95/535][47084] Loss_D: -0.027419 Loss_G: 0.006411 Loss_D_real: -0.002251 Loss_D_fake 0.025168
[459/5000][100/535][47085] Loss_D: -0.028084 Loss_G: 0.016473 Loss_D_real: -0.021631 Loss_D_fake 0.006452
[459/5000][105/535][47086] Loss_D: -0.024626 Loss_G: 0.025528 Loss_D_real: -0.024883 Loss_D_fake -0.000257
[459/5000][110/535][47087] Loss_D: -0.028309 Loss_G: 0.013270 Loss_D_real: -0.021256 Loss_D_fake 0.007054
[459/5000][115/535][47088] Loss_D: -0.028422 Loss_G: 0.037421 Loss_D_real: -0.030550 Loss_D_fake -0.002128
[459/5000][120/535][47089] Loss_D: -0.028664 Loss_G: 0.002280 Loss_D_real: -0.006576 Loss_D_fake 0.022088
[459/5000][125/535][47090] Loss_D: -0.028065 Loss_G: 0.024560 Loss_D_real: -0.016415 Loss_D_fake 0.011650
[459/5000][130/535][47091] Loss_D: -0.028374 Loss_G: 0.002410 Loss_D_real: 0.004163 Loss_D_fake 0.032537
[459/5000][135/535][47092] Loss_D: -0.026840 Loss_G: 0.018221 Loss_D_real: -0.022875 Loss_D_fake 0.003965
[459/5000][140/535][47093] Loss_D: -0.026026 Loss_G: 0.031914 Loss_D_real: -0.041668 Loss_D_fake -0.015642
[459/5000][145/535][47094] Loss_D: -0.028523 Loss_G: 0.007806 Loss_D_real: -0.022052 Loss_D_fake 0.006471
[459/5000][150/535][47095] Loss_D: -0.027810 Loss_G: 0.009558 Loss_D_real: -0.009522 Loss_D_fake 0.018287
[459/5000][155/535][47096] Loss_D: -0.028293 Loss_G: 0.026644 Loss_D_real: -0.029866 Loss_D_fake -0.001572
[459/5000][160/535][47097] Loss_D: -0.029416 Loss_G: 0.001853 Loss_D_real: -0.015736 Loss_D_fake 0.013680
[459/5000][165/535][47098] Loss_D: -0.028799 Loss_G: 0.024375 Loss_D_real: -0.019425 Loss_D_fake 0.009375
[459/5000][170/535][47099] Loss_D: -0.028785 Loss_G: 0.028833 Loss_D_real: -0.019989 Loss_D_fake 0.008796
[459/5000][175/535][47100] Loss_D: -0.028164 Loss_G: 0.002190 Loss_D_real: -0.013209 Loss_D_fake 0.014956
[459/5000][180/535][47101] Loss_D: -0.026101 Loss_G: 0.050081 Loss_D_real: -0.033088 Loss_D_fake -0.006986
[459/5000][185/535][47102] Loss_D: -0.027236 Loss_G: 0.012902 Loss_D_real: -0.018483 Loss_D_fake 0.008754
[459/5000][190/535][47103] Loss_D: -0.027389 Loss_G: 0.029210 Loss_D_real: -0.030588 Loss_D_fake -0.003199
[459/5000][195/535][47104] Loss_D: -0.027217 Loss_G: 0.010349 Loss_D_real: -0.004105 Loss_D_fake 0.023112
[459/5000][200/535][47105] Loss_D: -0.026685 Loss_G: 0.029610 Loss_D_real: -0.023903 Loss_D_fake 0.002781
[459/5000][205/535][47106] Loss_D: -0.027664 Loss_G: 0.000459 Loss_D_real: -0.001063 Loss_D_fake 0.026602
[459/5000][210/535][47107] Loss_D: -0.026873 Loss_G: 0.017286 Loss_D_real: -0.018532 Loss_D_fake 0.008341
[459/5000][215/535][47108] Loss_D: -0.027943 Loss_G: 0.025590 Loss_D_real: -0.018496 Loss_D_fake 0.009447
[459/5000][220/535][47109] Loss_D: -0.026726 Loss_G: 0.031907 Loss_D_real: -0.033919 Loss_D_fake -0.007193
[459/5000][225/535][47110] Loss_D: -0.027897 Loss_G: 0.008393 Loss_D_real: -0.008517 Loss_D_fake 0.019380
[459/5000][230/535][47111] Loss_D: -0.027604 Loss_G: 0.016463 Loss_D_real: -0.023047 Loss_D_fake 0.004557
[459/5000][235/535][47112] Loss_D: -0.026925 Loss_G: 0.026832 Loss_D_real: -0.026117 Loss_D_fake 0.000808
[459/5000][240/535][47113] Loss_D: -0.028051 Loss_G: 0.014970 Loss_D_real: -0.027120 Loss_D_fake 0.000931
[459/5000][245/535][47114] Loss_D: -0.028820 Loss_G: 0.013317 Loss_D_real: -0.014146 Loss_D_fake 0.014674
[459/5000][250/535][47115] Loss_D: -0.026828 Loss_G: -0.009353 Loss_D_real: 0.003607 Loss_D_fake 0.030435
[459/5000][255/535][47116] Loss_D: -0.027828 Loss_G: 0.002250 Loss_D_real: -0.009443 Loss_D_fake 0.018385
[459/5000][260/535][47117] Loss_D: -0.027403 Loss_G: 0.018020 Loss_D_real: -0.017965 Loss_D_fake 0.009439
[459/5000][265/535][47118] Loss_D: -0.026545 Loss_G: 0.029688 Loss_D_real: -0.035054 Loss_D_fake -0.008509
[459/5000][270/535][47119] Loss_D: -0.028233 Loss_G: 0.013936 Loss_D_real: -0.017293 Loss_D_fake 0.010939
[459/5000][275/535][47120] Loss_D: -0.026897 Loss_G: 0.018612 Loss_D_real: -0.019771 Loss_D_fake 0.007126
[459/5000][280/535][47121] Loss_D: -0.027562 Loss_G: -0.000922 Loss_D_real: -0.004347 Loss_D_fake 0.023215
[459/5000][285/535][47122] Loss_D: -0.027101 Loss_G: 0.004352 Loss_D_real: -0.005026 Loss_D_fake 0.022075
[459/5000][290/535][47123] Loss_D: -0.029059 Loss_G: 0.012533 Loss_D_real: -0.019702 Loss_D_fake 0.009357
[459/5000][295/535][47124] Loss_D: -0.027307 Loss_G: 0.001862 Loss_D_real: -0.009102 Loss_D_fake 0.018205
[459/5000][300/535][47125] Loss_D: -0.026257 Loss_G: 0.031965 Loss_D_real: -0.028363 Loss_D_fake -0.002106
[459/5000][305/535][47126] Loss_D: -0.027765 Loss_G: 0.018629 Loss_D_real: -0.026025 Loss_D_fake 0.001740
[459/5000][310/535][47127] Loss_D: -0.027269 Loss_G: 0.027179 Loss_D_real: -0.021653 Loss_D_fake 0.005616
[459/5000][315/535][47128] Loss_D: -0.028065 Loss_G: 0.015174 Loss_D_real: -0.024516 Loss_D_fake 0.003549
[459/5000][320/535][47129] Loss_D: -0.027601 Loss_G: 0.043672 Loss_D_real: -0.041100 Loss_D_fake -0.013499
[459/5000][325/535][47130] Loss_D: -0.028309 Loss_G: 0.009542 Loss_D_real: -0.013304 Loss_D_fake 0.015005
[459/5000][330/535][47131] Loss_D: -0.028239 Loss_G: 0.014926 Loss_D_real: -0.023723 Loss_D_fake 0.004516
[459/5000][335/535][47132] Loss_D: -0.028603 Loss_G: 0.014600 Loss_D_real: -0.024848 Loss_D_fake 0.003755
[459/5000][340/535][47133] Loss_D: -0.027889 Loss_G: 0.014691 Loss_D_real: -0.024328 Loss_D_fake 0.003561
[459/5000][345/535][47134] Loss_D: -0.027838 Loss_G: 0.036250 Loss_D_real: -0.028399 Loss_D_fake -0.000561
[459/5000][350/535][47135] Loss_D: -0.028331 Loss_G: 0.013074 Loss_D_real: -0.015670 Loss_D_fake 0.012661
[459/5000][355/535][47136] Loss_D: -0.027844 Loss_G: 0.034646 Loss_D_real: -0.034270 Loss_D_fake -0.006426
[459/5000][360/535][47137] Loss_D: -0.027679 Loss_G: -0.005487 Loss_D_real: -0.003997 Loss_D_fake 0.023682
[459/5000][365/535][47138] Loss_D: -0.027758 Loss_G: 0.031729 Loss_D_real: -0.029781 Loss_D_fake -0.002023
[459/5000][370/535][47139] Loss_D: -0.027938 Loss_G: 0.013981 Loss_D_real: -0.010274 Loss_D_fake 0.017664
[459/5000][375/535][47140] Loss_D: -0.027783 Loss_G: 0.006598 Loss_D_real: -0.007360 Loss_D_fake 0.020423
[459/5000][380/535][47141] Loss_D: -0.027195 Loss_G: 0.025497 Loss_D_real: -0.023739 Loss_D_fake 0.003456
[459/5000][385/535][47142] Loss_D: -0.027323 Loss_G: 0.031673 Loss_D_real: -0.028206 Loss_D_fake -0.000882
[459/5000][390/535][47143] Loss_D: -0.027400 Loss_G: 0.002004 Loss_D_real: -0.002812 Loss_D_fake 0.024588
[459/5000][395/535][47144] Loss_D: -0.027026 Loss_G: 0.016012 Loss_D_real: -0.019068 Loss_D_fake 0.007958
[459/5000][400/535][47145] Loss_D: -0.026072 Loss_G: 0.004115 Loss_D_real: -0.002845 Loss_D_fake 0.023227
[459/5000][405/535][47146] Loss_D: -0.026608 Loss_G: 0.035214 Loss_D_real: -0.028247 Loss_D_fake -0.001639
[459/5000][410/535][47147] Loss_D: -0.028406 Loss_G: -0.006917 Loss_D_real: -0.007751 Loss_D_fake 0.020655
[459/5000][415/535][47148] Loss_D: -0.027555 Loss_G: 0.005694 Loss_D_real: -0.008525 Loss_D_fake 0.019030
[459/5000][420/535][47149] Loss_D: -0.029371 Loss_G: 0.011160 Loss_D_real: -0.011812 Loss_D_fake 0.017559
[459/5000][425/535][47150] Loss_D: -0.026910 Loss_G: 0.028926 Loss_D_real: -0.031062 Loss_D_fake -0.004152
[459/5000][430/535][47151] Loss_D: -0.026568 Loss_G: 0.002192 Loss_D_real: -0.011217 Loss_D_fake 0.015350
[459/5000][435/535][47152] Loss_D: -0.026970 Loss_G: 0.014299 Loss_D_real: -0.015661 Loss_D_fake 0.011309
[459/5000][440/535][47153] Loss_D: -0.027587 Loss_G: 0.008244 Loss_D_real: -0.016404 Loss_D_fake 0.011183
[459/5000][445/535][47154] Loss_D: -0.028550 Loss_G: 0.033307 Loss_D_real: -0.029321 Loss_D_fake -0.000771
[459/5000][450/535][47155] Loss_D: -0.026519 Loss_G: 0.025437 Loss_D_real: -0.027548 Loss_D_fake -0.001029
[459/5000][455/535][47156] Loss_D: -0.027727 Loss_G: 0.003947 Loss_D_real: -0.013631 Loss_D_fake 0.014096
[459/5000][460/535][47157] Loss_D: -0.027312 Loss_G: 0.011704 Loss_D_real: -0.024132 Loss_D_fake 0.003180
[459/5000][465/535][47158] Loss_D: -0.027954 Loss_G: 0.015636 Loss_D_real: -0.007704 Loss_D_fake 0.020249
[459/5000][470/535][47159] Loss_D: -0.027183 Loss_G: 0.027393 Loss_D_real: -0.024426 Loss_D_fake 0.002757
[459/5000][475/535][47160] Loss_D: -0.026294 Loss_G: 0.021379 Loss_D_real: -0.026258 Loss_D_fake 0.000036
[459/5000][480/535][47161] Loss_D: -0.025939 Loss_G: -0.007399 Loss_D_real: -0.007002 Loss_D_fake 0.018937
[459/5000][485/535][47162] Loss_D: -0.028997 Loss_G: 0.018525 Loss_D_real: -0.021380 Loss_D_fake 0.007617
[459/5000][490/535][47163] Loss_D: -0.027745 Loss_G: 0.015136 Loss_D_real: -0.012824 Loss_D_fake 0.014922
[459/5000][495/535][47164] Loss_D: -0.028003 Loss_G: 0.015482 Loss_D_real: -0.010394 Loss_D_fake 0.017609
[459/5000][500/535][47165] Loss_D: -0.027160 Loss_G: 0.012280 Loss_D_real: -0.002498 Loss_D_fake 0.024662
[459/5000][505/535][47166] Loss_D: -0.027706 Loss_G: 0.014498 Loss_D_real: -0.021053 Loss_D_fake 0.006654
[459/5000][510/535][47167] Loss_D: -0.025947 Loss_G: 0.030563 Loss_D_real: -0.028901 Loss_D_fake -0.002953
[459/5000][515/535][47168] Loss_D: -0.029526 Loss_G: -0.000953 Loss_D_real: -0.014541 Loss_D_fake 0.014985
[459/5000][520/535][47169] Loss_D: -0.027396 Loss_G: 0.023196 Loss_D_real: -0.032012 Loss_D_fake -0.004616
[459/5000][525/535][47170] Loss_D: -0.026788 Loss_G: 0.034655 Loss_D_real: -0.032242 Loss_D_fake -0.005454
[459/5000][530/535][47171] Loss_D: -0.026600 Loss_G: 0.027963 Loss_D_real: -0.027100 Loss_D_fake -0.000500
[459/5000][535/535][47172] Loss_D: -0.030233 Loss_G: 0.032803 Loss_D_real: -0.027151 Loss_D_fake 0.003082
[460/5000][5/535][47173] Loss_D: -0.027767 Loss_G: 0.012555 Loss_D_real: -0.015297 Loss_D_fake 0.012470
[460/5000][10/535][47174] Loss_D: -0.026618 Loss_G: 0.041171 Loss_D_real: -0.028567 Loss_D_fake -0.001949
[460/5000][15/535][47175] Loss_D: -0.026437 Loss_G: 0.024299 Loss_D_real: -0.028492 Loss_D_fake -0.002056
[460/5000][20/535][47176] Loss_D: -0.026783 Loss_G: -0.024807 Loss_D_real: 0.007490 Loss_D_fake 0.034273
[460/5000][25/535][47177] Loss_D: -0.025720 Loss_G: 0.013050 Loss_D_real: -0.011824 Loss_D_fake 0.013896
[460/5000][30/535][47178] Loss_D: -0.026356 Loss_G: 0.014402 Loss_D_real: -0.018372 Loss_D_fake 0.007983
[460/5000][35/535][47179] Loss_D: -0.026337 Loss_G: 0.016689 Loss_D_real: -0.031432 Loss_D_fake -0.005095
[460/5000][40/535][47180] Loss_D: -0.027221 Loss_G: 0.021221 Loss_D_real: -0.019008 Loss_D_fake 0.008213
[460/5000][45/535][47181] Loss_D: -0.027296 Loss_G: 0.008214 Loss_D_real: -0.013972 Loss_D_fake 0.013324
[460/5000][50/535][47182] Loss_D: -0.024286 Loss_G: 0.030235 Loss_D_real: -0.012176 Loss_D_fake 0.012110
[460/5000][55/535][47183] Loss_D: -0.026880 Loss_G: 0.005263 Loss_D_real: -0.013594 Loss_D_fake 0.013286
[460/5000][60/535][47184] Loss_D: -0.025928 Loss_G: 0.027344 Loss_D_real: -0.017333 Loss_D_fake 0.008595
[460/5000][65/535][47185] Loss_D: -0.025734 Loss_G: 0.026136 Loss_D_real: -0.026472 Loss_D_fake -0.000739
[460/5000][70/535][47186] Loss_D: -0.027150 Loss_G: 0.004229 Loss_D_real: -0.010022 Loss_D_fake 0.017128
[460/5000][75/535][47187] Loss_D: -0.026965 Loss_G: 0.015437 Loss_D_real: -0.017981 Loss_D_fake 0.008984
[460/5000][80/535][47188] Loss_D: -0.025432 Loss_G: 0.045457 Loss_D_real: -0.042956 Loss_D_fake -0.017524
[460/5000][85/535][47189] Loss_D: -0.027041 Loss_G: -0.002118 Loss_D_real: -0.004952 Loss_D_fake 0.022089
[460/5000][90/535][47190] Loss_D: -0.026376 Loss_G: 0.027682 Loss_D_real: -0.024252 Loss_D_fake 0.002124
[460/5000][95/535][47191] Loss_D: -0.026669 Loss_G: 0.014050 Loss_D_real: -0.009181 Loss_D_fake 0.017487
[460/5000][100/535][47192] Loss_D: -0.027506 Loss_G: 0.009166 Loss_D_real: -0.015425 Loss_D_fake 0.012081
[460/5000][105/535][47193] Loss_D: -0.028609 Loss_G: 0.025508 Loss_D_real: -0.019483 Loss_D_fake 0.009126
[460/5000][110/535][47194] Loss_D: -0.027962 Loss_G: 0.032923 Loss_D_real: -0.025847 Loss_D_fake 0.002115
[460/5000][115/535][47195] Loss_D: -0.029034 Loss_G: 0.008179 Loss_D_real: -0.015288 Loss_D_fake 0.013746
[460/5000][120/535][47196] Loss_D: -0.027753 Loss_G: 0.019362 Loss_D_real: -0.013469 Loss_D_fake 0.014284
[460/5000][125/535][47197] Loss_D: -0.028670 Loss_G: 0.000713 Loss_D_real: -0.008267 Loss_D_fake 0.020403
[460/5000][130/535][47198] Loss_D: -0.027653 Loss_G: 0.020671 Loss_D_real: -0.021013 Loss_D_fake 0.006641
[460/5000][135/535][47199] Loss_D: -0.027198 Loss_G: 0.012593 Loss_D_real: -0.013230 Loss_D_fake 0.013967
[460/5000][140/535][47200] Loss_D: -0.028207 Loss_G: 0.018384 Loss_D_real: -0.028963 Loss_D_fake -0.000755
[460/5000][145/535][47201] Loss_D: -0.026788 Loss_G: 0.004047 Loss_D_real: -0.001692 Loss_D_fake 0.025096
[460/5000][150/535][47202] Loss_D: -0.027385 Loss_G: 0.012336 Loss_D_real: -0.018931 Loss_D_fake 0.008454
[460/5000][155/535][47203] Loss_D: -0.025901 Loss_G: -0.003272 Loss_D_real: -0.006093 Loss_D_fake 0.019808
[460/5000][160/535][47204] Loss_D: -0.028197 Loss_G: 0.025129 Loss_D_real: -0.029734 Loss_D_fake -0.001536
[460/5000][165/535][47205] Loss_D: -0.028538 Loss_G: 0.019172 Loss_D_real: -0.014067 Loss_D_fake 0.014472
[460/5000][170/535][47206] Loss_D: -0.026815 Loss_G: 0.038487 Loss_D_real: -0.027103 Loss_D_fake -0.000288
[460/5000][175/535][47207] Loss_D: -0.027703 Loss_G: 0.018283 Loss_D_real: -0.015895 Loss_D_fake 0.011808
[460/5000][180/535][47208] Loss_D: -0.028133 Loss_G: 0.017227 Loss_D_real: -0.017291 Loss_D_fake 0.010842
[460/5000][185/535][47209] Loss_D: -0.028868 Loss_G: 0.004316 Loss_D_real: -0.010087 Loss_D_fake 0.018781
[460/5000][190/535][47210] Loss_D: -0.028331 Loss_G: 0.012379 Loss_D_real: -0.020805 Loss_D_fake 0.007526
[460/5000][195/535][47211] Loss_D: -0.028452 Loss_G: 0.011138 Loss_D_real: -0.014776 Loss_D_fake 0.013676
[460/5000][200/535][47212] Loss_D: -0.028260 Loss_G: -0.010723 Loss_D_real: -0.003140 Loss_D_fake 0.025120
[460/5000][205/535][47213] Loss_D: -0.027362 Loss_G: 0.017068 Loss_D_real: -0.018480 Loss_D_fake 0.008882
[460/5000][210/535][47214] Loss_D: -0.027420 Loss_G: 0.031439 Loss_D_real: -0.030277 Loss_D_fake -0.002857
[460/5000][215/535][47215] Loss_D: -0.027779 Loss_G: 0.021879 Loss_D_real: -0.010426 Loss_D_fake 0.017353
[460/5000][220/535][47216] Loss_D: -0.028366 Loss_G: 0.006479 Loss_D_real: -0.006854 Loss_D_fake 0.021512
[460/5000][225/535][47217] Loss_D: -0.027570 Loss_G: 0.023912 Loss_D_real: -0.033202 Loss_D_fake -0.005632
[460/5000][230/535][47218] Loss_D: -0.027601 Loss_G: -0.011060 Loss_D_real: 0.001572 Loss_D_fake 0.029173
[460/5000][235/535][47219] Loss_D: -0.027356 Loss_G: 0.002641 Loss_D_real: -0.011306 Loss_D_fake 0.016051
[460/5000][240/535][47220] Loss_D: -0.028069 Loss_G: 0.017317 Loss_D_real: -0.020157 Loss_D_fake 0.007912
[460/5000][245/535][47221] Loss_D: -0.028540 Loss_G: 0.018069 Loss_D_real: -0.015349 Loss_D_fake 0.013191
[460/5000][250/535][47222] Loss_D: -0.027137 Loss_G: 0.011428 Loss_D_real: -0.008885 Loss_D_fake 0.018252
[460/5000][255/535][47223] Loss_D: -0.027542 Loss_G: -0.001832 Loss_D_real: -0.018266 Loss_D_fake 0.009275
[460/5000][260/535][47224] Loss_D: -0.027187 Loss_G: 0.023581 Loss_D_real: -0.029901 Loss_D_fake -0.002714
[460/5000][265/535][47225] Loss_D: -0.027820 Loss_G: 0.008000 Loss_D_real: -0.004250 Loss_D_fake 0.023570
[460/5000][270/535][47226] Loss_D: -0.027784 Loss_G: 0.011159 Loss_D_real: -0.010583 Loss_D_fake 0.017200
[460/5000][275/535][47227] Loss_D: -0.027506 Loss_G: 0.037138 Loss_D_real: -0.036220 Loss_D_fake -0.008713
[460/5000][280/535][47228] Loss_D: -0.027451 Loss_G: 0.001237 Loss_D_real: -0.018427 Loss_D_fake 0.009023
[460/5000][285/535][47229] Loss_D: -0.027339 Loss_G: 0.005408 Loss_D_real: -0.020088 Loss_D_fake 0.007251
[460/5000][290/535][47230] Loss_D: -0.026657 Loss_G: 0.040269 Loss_D_real: -0.041538 Loss_D_fake -0.014881
[460/5000][295/535][47231] Loss_D: -0.029036 Loss_G: 0.010994 Loss_D_real: -0.016964 Loss_D_fake 0.012073
[460/5000][300/535][47232] Loss_D: -0.028961 Loss_G: 0.031880 Loss_D_real: -0.038680 Loss_D_fake -0.009719
[460/5000][305/535][47233] Loss_D: -0.028573 Loss_G: 0.013618 Loss_D_real: -0.015361 Loss_D_fake 0.013212
[460/5000][310/535][47234] Loss_D: -0.027962 Loss_G: 0.019796 Loss_D_real: -0.018376 Loss_D_fake 0.009586
[460/5000][315/535][47235] Loss_D: -0.028129 Loss_G: 0.027431 Loss_D_real: -0.028734 Loss_D_fake -0.000605
[460/5000][320/535][47236] Loss_D: -0.028048 Loss_G: -0.015536 Loss_D_real: 0.000967 Loss_D_fake 0.029015
[460/5000][325/535][47237] Loss_D: -0.026408 Loss_G: 0.031621 Loss_D_real: -0.024421 Loss_D_fake 0.001987
[460/5000][330/535][47238] Loss_D: -0.027482 Loss_G: 0.013853 Loss_D_real: -0.016014 Loss_D_fake 0.011469
[460/5000][335/535][47239] Loss_D: -0.026507 Loss_G: 0.007961 Loss_D_real: -0.015275 Loss_D_fake 0.011232
[460/5000][340/535][47240] Loss_D: -0.026826 Loss_G: 0.017286 Loss_D_real: -0.029823 Loss_D_fake -0.002996
[460/5000][345/535][47241] Loss_D: -0.026794 Loss_G: 0.019047 Loss_D_real: -0.021370 Loss_D_fake 0.005424
[460/5000][350/535][47242] Loss_D: -0.027861 Loss_G: 0.011761 Loss_D_real: -0.011881 Loss_D_fake 0.015979
[460/5000][355/535][47243] Loss_D: -0.026325 Loss_G: 0.009779 Loss_D_real: -0.004028 Loss_D_fake 0.022297
[460/5000][360/535][47244] Loss_D: -0.027528 Loss_G: 0.004981 Loss_D_real: -0.012185 Loss_D_fake 0.015343
[460/5000][365/535][47245] Loss_D: -0.027980 Loss_G: 0.023441 Loss_D_real: -0.027583 Loss_D_fake 0.000397
[460/5000][370/535][47246] Loss_D: -0.026198 Loss_G: 0.023785 Loss_D_real: -0.031052 Loss_D_fake -0.004854
[460/5000][375/535][47247] Loss_D: -0.027341 Loss_G: -0.000835 Loss_D_real: -0.006567 Loss_D_fake 0.020774
[460/5000][380/535][47248] Loss_D: -0.025888 Loss_G: 0.022415 Loss_D_real: -0.029774 Loss_D_fake -0.003885
[460/5000][385/535][47249] Loss_D: -0.026501 Loss_G: -0.004569 Loss_D_real: -0.009137 Loss_D_fake 0.017363
[460/5000][390/535][47250] Loss_D: -0.026983 Loss_G: 0.009954 Loss_D_real: -0.019424 Loss_D_fake 0.007559
[460/5000][395/535][47251] Loss_D: -0.027204 Loss_G: 0.031502 Loss_D_real: -0.028483 Loss_D_fake -0.001278
[460/5000][400/535][47252] Loss_D: -0.027857 Loss_G: 0.010860 Loss_D_real: -0.021059 Loss_D_fake 0.006798
[460/5000][405/535][47253] Loss_D: -0.027735 Loss_G: 0.003788 Loss_D_real: -0.012139 Loss_D_fake 0.015597
[460/5000][410/535][47254] Loss_D: -0.026277 Loss_G: 0.025267 Loss_D_real: -0.030248 Loss_D_fake -0.003971
[460/5000][415/535][47255] Loss_D: -0.027421 Loss_G: 0.027731 Loss_D_real: -0.017686 Loss_D_fake 0.009735
[460/5000][420/535][47256] Loss_D: -0.028502 Loss_G: 0.022092 Loss_D_real: -0.022353 Loss_D_fake 0.006149
[460/5000][425/535][47257] Loss_D: -0.028126 Loss_G: 0.001776 Loss_D_real: -0.009930 Loss_D_fake 0.018196
[460/5000][430/535][47258] Loss_D: -0.027895 Loss_G: 0.000783 Loss_D_real: -0.015223 Loss_D_fake 0.012671
[460/5000][435/535][47259] Loss_D: -0.027143 Loss_G: 0.022086 Loss_D_real: -0.025563 Loss_D_fake 0.001580
[460/5000][440/535][47260] Loss_D: -0.028786 Loss_G: -0.006145 Loss_D_real: -0.009314 Loss_D_fake 0.019472
[460/5000][445/535][47261] Loss_D: -0.027882 Loss_G: 0.008637 Loss_D_real: -0.011229 Loss_D_fake 0.016653
[460/5000][450/535][47262] Loss_D: -0.027271 Loss_G: 0.001400 Loss_D_real: -0.004653 Loss_D_fake 0.022619
[460/5000][455/535][47263] Loss_D: -0.027227 Loss_G: 0.022600 Loss_D_real: -0.025067 Loss_D_fake 0.002160
[460/5000][460/535][47264] Loss_D: -0.026654 Loss_G: 0.040226 Loss_D_real: -0.028621 Loss_D_fake -0.001967
[460/5000][465/535][47265] Loss_D: -0.026731 Loss_G: 0.034923 Loss_D_real: -0.025619 Loss_D_fake 0.001111
[460/5000][470/535][47266] Loss_D: -0.025635 Loss_G: -0.014270 Loss_D_real: 0.007266 Loss_D_fake 0.032900
[460/5000][475/535][47267] Loss_D: -0.027237 Loss_G: 0.013530 Loss_D_real: -0.021684 Loss_D_fake 0.005553
[460/5000][480/535][47268] Loss_D: -0.025984 Loss_G: 0.010478 Loss_D_real: -0.016023 Loss_D_fake 0.009961
[460/5000][485/535][47269] Loss_D: -0.027438 Loss_G: -0.002582 Loss_D_real: -0.006422 Loss_D_fake 0.021016
[460/5000][490/535][47270] Loss_D: -0.027165 Loss_G: 0.021426 Loss_D_real: -0.020212 Loss_D_fake 0.006953
[460/5000][495/535][47271] Loss_D: -0.028610 Loss_G: 0.011288 Loss_D_real: -0.020715 Loss_D_fake 0.007895
[460/5000][500/535][47272] Loss_D: -0.027147 Loss_G: 0.031790 Loss_D_real: -0.032225 Loss_D_fake -0.005078
[460/5000][505/535][47273] Loss_D: -0.029226 Loss_G: 0.018761 Loss_D_real: -0.023265 Loss_D_fake 0.005961
[460/5000][510/535][47274] Loss_D: -0.027362 Loss_G: 0.032257 Loss_D_real: -0.027524 Loss_D_fake -0.000162
[460/5000][515/535][47275] Loss_D: -0.028383 Loss_G: 0.001447 Loss_D_real: -0.011021 Loss_D_fake 0.017362
[460/5000][520/535][47276] Loss_D: -0.026969 Loss_G: 0.006869 Loss_D_real: -0.012036 Loss_D_fake 0.014933
[460/5000][525/535][47277] Loss_D: -0.026446 Loss_G: 0.040537 Loss_D_real: -0.036155 Loss_D_fake -0.009708
[460/5000][530/535][47278] Loss_D: -0.028099 Loss_G: 0.028817 Loss_D_real: -0.027729 Loss_D_fake 0.000369
[460/5000][535/535][47279] Loss_D: -0.028393 Loss_G: 0.050631 Loss_D_real: -0.028758 Loss_D_fake -0.000366
[461/5000][5/535][47280] Loss_D: -0.027308 Loss_G: 0.007441 Loss_D_real: -0.008956 Loss_D_fake 0.018352
[461/5000][10/535][47281] Loss_D: -0.026633 Loss_G: 0.030969 Loss_D_real: -0.018125 Loss_D_fake 0.008508
[461/5000][15/535][47282] Loss_D: -0.026762 Loss_G: -0.007506 Loss_D_real: -0.000388 Loss_D_fake 0.026375
[461/5000][20/535][47283] Loss_D: -0.026503 Loss_G: 0.022380 Loss_D_real: -0.032299 Loss_D_fake -0.005796
[461/5000][25/535][47284] Loss_D: -0.027806 Loss_G: 0.016525 Loss_D_real: -0.025829 Loss_D_fake 0.001976
[461/5000][30/535][47285] Loss_D: -0.029357 Loss_G: 0.004436 Loss_D_real: -0.007150 Loss_D_fake 0.022207
[461/5000][35/535][47286] Loss_D: -0.027536 Loss_G: 0.004886 Loss_D_real: -0.017666 Loss_D_fake 0.009870
[461/5000][40/535][47287] Loss_D: -0.027896 Loss_G: 0.037689 Loss_D_real: -0.028846 Loss_D_fake -0.000950
[461/5000][45/535][47288] Loss_D: -0.028615 Loss_G: 0.008336 Loss_D_real: -0.011299 Loss_D_fake 0.017315
[461/5000][50/535][47289] Loss_D: -0.029581 Loss_G: 0.018972 Loss_D_real: -0.020416 Loss_D_fake 0.009165
[461/5000][55/535][47290] Loss_D: -0.025421 Loss_G: -0.007350 Loss_D_real: -0.001564 Loss_D_fake 0.023857
[461/5000][60/535][47291] Loss_D: -0.025897 Loss_G: 0.003898 Loss_D_real: -0.012656 Loss_D_fake 0.013241
[461/5000][65/535][47292] Loss_D: -0.026190 Loss_G: 0.009730 Loss_D_real: -0.015339 Loss_D_fake 0.010851
[461/5000][70/535][47293] Loss_D: -0.026921 Loss_G: 0.006881 Loss_D_real: -0.011174 Loss_D_fake 0.015747
[461/5000][75/535][47294] Loss_D: -0.027131 Loss_G: -0.000165 Loss_D_real: -0.004463 Loss_D_fake 0.022668
[461/5000][80/535][47295] Loss_D: -0.027717 Loss_G: 0.003513 Loss_D_real: -0.011996 Loss_D_fake 0.015722
[461/5000][85/535][47296] Loss_D: -0.028783 Loss_G: 0.019685 Loss_D_real: -0.010704 Loss_D_fake 0.018079
[461/5000][90/535][47297] Loss_D: -0.027644 Loss_G: -0.005865 Loss_D_real: -0.001212 Loss_D_fake 0.026432
[461/5000][95/535][47298] Loss_D: -0.028518 Loss_G: 0.006899 Loss_D_real: -0.022682 Loss_D_fake 0.005836
[461/5000][100/535][47299] Loss_D: -0.027598 Loss_G: 0.030284 Loss_D_real: -0.026235 Loss_D_fake 0.001363
[461/5000][105/535][47300] Loss_D: -0.028154 Loss_G: -0.007561 Loss_D_real: -0.000246 Loss_D_fake 0.027908
[461/5000][110/535][47301] Loss_D: -0.026620 Loss_G: 0.017359 Loss_D_real: -0.021443 Loss_D_fake 0.005177
[461/5000][115/535][47302] Loss_D: -0.027636 Loss_G: 0.006280 Loss_D_real: -0.020907 Loss_D_fake 0.006729
[461/5000][120/535][47303] Loss_D: -0.026802 Loss_G: -0.004505 Loss_D_real: 0.003123 Loss_D_fake 0.029925
[461/5000][125/535][47304] Loss_D: -0.027873 Loss_G: 0.003932 Loss_D_real: -0.009397 Loss_D_fake 0.018476
[461/5000][130/535][47305] Loss_D: -0.027213 Loss_G: 0.000244 Loss_D_real: -0.004630 Loss_D_fake 0.022582
[461/5000][135/535][47306] Loss_D: -0.025518 Loss_G: 0.033481 Loss_D_real: -0.038388 Loss_D_fake -0.012871
[461/5000][140/535][47307] Loss_D: -0.025731 Loss_G: 0.036476 Loss_D_real: -0.037228 Loss_D_fake -0.011497
[461/5000][145/535][47308] Loss_D: -0.025490 Loss_G: -0.004064 Loss_D_real: -0.006980 Loss_D_fake 0.018510
[461/5000][150/535][47309] Loss_D: -0.026689 Loss_G: 0.019192 Loss_D_real: -0.016769 Loss_D_fake 0.009920
[461/5000][155/535][47310] Loss_D: -0.027362 Loss_G: 0.012425 Loss_D_real: -0.009148 Loss_D_fake 0.018214
[461/5000][160/535][47311] Loss_D: -0.025790 Loss_G: 0.035826 Loss_D_real: -0.026713 Loss_D_fake -0.000923
[461/5000][165/535][47312] Loss_D: -0.027224 Loss_G: 0.012958 Loss_D_real: -0.014168 Loss_D_fake 0.013056
[461/5000][170/535][47313] Loss_D: -0.027784 Loss_G: 0.022085 Loss_D_real: -0.028877 Loss_D_fake -0.001093
[461/5000][175/535][47314] Loss_D: -0.025704 Loss_G: 0.036055 Loss_D_real: -0.035556 Loss_D_fake -0.009852
[461/5000][180/535][47315] Loss_D: -0.027433 Loss_G: 0.025815 Loss_D_real: -0.018624 Loss_D_fake 0.008809
[461/5000][185/535][47316] Loss_D: -0.026865 Loss_G: 0.010835 Loss_D_real: -0.010917 Loss_D_fake 0.015948
[461/5000][190/535][47317] Loss_D: -0.028482 Loss_G: 0.025896 Loss_D_real: -0.012715 Loss_D_fake 0.015767
[461/5000][195/535][47318] Loss_D: -0.026112 Loss_G: 0.035342 Loss_D_real: -0.023297 Loss_D_fake 0.002815
[461/5000][200/535][47319] Loss_D: -0.027922 Loss_G: -0.011584 Loss_D_real: -0.009180 Loss_D_fake 0.018741
[461/5000][205/535][47320] Loss_D: -0.025951 Loss_G: 0.032746 Loss_D_real: -0.035834 Loss_D_fake -0.009883
[461/5000][210/535][47321] Loss_D: -0.028020 Loss_G: 0.003643 Loss_D_real: -0.011238 Loss_D_fake 0.016781
[461/5000][215/535][47322] Loss_D: -0.027595 Loss_G: 0.026047 Loss_D_real: -0.030704 Loss_D_fake -0.003110
[461/5000][220/535][47323] Loss_D: -0.024680 Loss_G: 0.021881 Loss_D_real: -0.022564 Loss_D_fake 0.002116
[461/5000][225/535][47324] Loss_D: -0.027144 Loss_G: 0.030372 Loss_D_real: -0.029265 Loss_D_fake -0.002121
[461/5000][230/535][47325] Loss_D: -0.028091 Loss_G: -0.002832 Loss_D_real: -0.000996 Loss_D_fake 0.027095
[461/5000][235/535][47326] Loss_D: -0.026475 Loss_G: 0.020012 Loss_D_real: -0.029169 Loss_D_fake -0.002695
[461/5000][240/535][47327] Loss_D: -0.027063 Loss_G: 0.017610 Loss_D_real: -0.024134 Loss_D_fake 0.002928
[461/5000][245/535][47328] Loss_D: -0.028164 Loss_G: 0.019435 Loss_D_real: -0.016197 Loss_D_fake 0.011967
[461/5000][250/535][47329] Loss_D: -0.026768 Loss_G: 0.009999 Loss_D_real: -0.018038 Loss_D_fake 0.008730
[461/5000][255/535][47330] Loss_D: -0.027404 Loss_G: 0.011797 Loss_D_real: -0.019942 Loss_D_fake 0.007462
[461/5000][260/535][47331] Loss_D: -0.025054 Loss_G: -0.010429 Loss_D_real: 0.009105 Loss_D_fake 0.034159
[461/5000][265/535][47332] Loss_D: -0.025109 Loss_G: 0.039540 Loss_D_real: -0.031009 Loss_D_fake -0.005900
[461/5000][270/535][47333] Loss_D: -0.026943 Loss_G: 0.019194 Loss_D_real: -0.025229 Loss_D_fake 0.001714
[461/5000][275/535][47334] Loss_D: -0.027068 Loss_G: 0.016281 Loss_D_real: -0.014754 Loss_D_fake 0.012314
[461/5000][280/535][47335] Loss_D: -0.027445 Loss_G: 0.001156 Loss_D_real: -0.011801 Loss_D_fake 0.015644
[461/5000][285/535][47336] Loss_D: -0.026490 Loss_G: 0.016675 Loss_D_real: -0.024894 Loss_D_fake 0.001596
[461/5000][290/535][47337] Loss_D: -0.026143 Loss_G: 0.030238 Loss_D_real: -0.031321 Loss_D_fake -0.005177
[461/5000][295/535][47338] Loss_D: -0.025395 Loss_G: 0.036219 Loss_D_real: -0.034532 Loss_D_fake -0.009138
[461/5000][300/535][47339] Loss_D: -0.027818 Loss_G: 0.019343 Loss_D_real: -0.014584 Loss_D_fake 0.013234
[461/5000][305/535][47340] Loss_D: -0.028327 Loss_G: 0.006557 Loss_D_real: -0.000616 Loss_D_fake 0.027711
[461/5000][310/535][47341] Loss_D: -0.027440 Loss_G: 0.016231 Loss_D_real: -0.020734 Loss_D_fake 0.006706
[461/5000][315/535][47342] Loss_D: -0.027534 Loss_G: 0.034480 Loss_D_real: -0.031448 Loss_D_fake -0.003914
[461/5000][320/535][47343] Loss_D: -0.027803 Loss_G: 0.005810 Loss_D_real: -0.015245 Loss_D_fake 0.012558
[461/5000][325/535][47344] Loss_D: -0.026120 Loss_G: 0.025264 Loss_D_real: -0.025339 Loss_D_fake 0.000781
[461/5000][330/535][47345] Loss_D: -0.028176 Loss_G: 0.023088 Loss_D_real: -0.020754 Loss_D_fake 0.007422
[461/5000][335/535][47346] Loss_D: -0.027746 Loss_G: 0.002065 Loss_D_real: -0.010466 Loss_D_fake 0.017280
[461/5000][340/535][47347] Loss_D: -0.026486 Loss_G: 0.009083 Loss_D_real: -0.014425 Loss_D_fake 0.012061
[461/5000][345/535][47348] Loss_D: -0.023737 Loss_G: 0.031774 Loss_D_real: -0.027060 Loss_D_fake -0.003323
[461/5000][350/535][47349] Loss_D: -0.026399 Loss_G: -0.000988 Loss_D_real: -0.009241 Loss_D_fake 0.017158
[461/5000][355/535][47350] Loss_D: -0.027808 Loss_G: 0.013301 Loss_D_real: -0.019008 Loss_D_fake 0.008799
[461/5000][360/535][47351] Loss_D: -0.027906 Loss_G: 0.030475 Loss_D_real: -0.028183 Loss_D_fake -0.000277
[461/5000][365/535][47352] Loss_D: -0.028034 Loss_G: 0.010105 Loss_D_real: -0.014370 Loss_D_fake 0.013664
[461/5000][370/535][47353] Loss_D: -0.028302 Loss_G: 0.012591 Loss_D_real: -0.012404 Loss_D_fake 0.015898
[461/5000][375/535][47354] Loss_D: -0.025122 Loss_G: 0.045470 Loss_D_real: -0.033109 Loss_D_fake -0.007987
[461/5000][380/535][47355] Loss_D: -0.027997 Loss_G: 0.000230 Loss_D_real: 0.000566 Loss_D_fake 0.028563
[461/5000][385/535][47356] Loss_D: -0.027956 Loss_G: 0.031259 Loss_D_real: -0.028392 Loss_D_fake -0.000437
[461/5000][390/535][47357] Loss_D: -0.027411 Loss_G: 0.004236 Loss_D_real: -0.009736 Loss_D_fake 0.017675
[461/5000][395/535][47358] Loss_D: -0.027147 Loss_G: 0.001448 Loss_D_real: -0.011194 Loss_D_fake 0.015953
[461/5000][400/535][47359] Loss_D: -0.027756 Loss_G: 0.016530 Loss_D_real: -0.018281 Loss_D_fake 0.009476
[461/5000][405/535][47360] Loss_D: -0.026716 Loss_G: 0.024197 Loss_D_real: -0.015182 Loss_D_fake 0.011534
[461/5000][410/535][47361] Loss_D: -0.026891 Loss_G: 0.019697 Loss_D_real: -0.023444 Loss_D_fake 0.003446
[461/5000][415/535][47362] Loss_D: -0.027534 Loss_G: 0.014274 Loss_D_real: -0.017651 Loss_D_fake 0.009883
[461/5000][420/535][47363] Loss_D: -0.026900 Loss_G: 0.013281 Loss_D_real: -0.020398 Loss_D_fake 0.006502
[461/5000][425/535][47364] Loss_D: -0.028403 Loss_G: 0.017764 Loss_D_real: -0.029962 Loss_D_fake -0.001559
[461/5000][430/535][47365] Loss_D: -0.027056 Loss_G: 0.013465 Loss_D_real: -0.008851 Loss_D_fake 0.018205
[461/5000][435/535][47366] Loss_D: -0.028284 Loss_G: 0.013496 Loss_D_real: -0.018450 Loss_D_fake 0.009834
[461/5000][440/535][47367] Loss_D: -0.025314 Loss_G: 0.036168 Loss_D_real: -0.030313 Loss_D_fake -0.004999
[461/5000][445/535][47368] Loss_D: -0.027878 Loss_G: 0.006957 Loss_D_real: -0.016060 Loss_D_fake 0.011818
[461/5000][450/535][47369] Loss_D: -0.029208 Loss_G: 0.009597 Loss_D_real: -0.014400 Loss_D_fake 0.014807
[461/5000][455/535][47370] Loss_D: -0.027776 Loss_G: 0.008067 Loss_D_real: -0.019831 Loss_D_fake 0.007944
[461/5000][460/535][47371] Loss_D: -0.026802 Loss_G: 0.028643 Loss_D_real: -0.034565 Loss_D_fake -0.007763
[461/5000][465/535][47372] Loss_D: -0.027330 Loss_G: 0.015496 Loss_D_real: -0.020235 Loss_D_fake 0.007096
[461/5000][470/535][47373] Loss_D: -0.026002 Loss_G: 0.029904 Loss_D_real: -0.028586 Loss_D_fake -0.002585
[461/5000][475/535][47374] Loss_D: -0.027403 Loss_G: 0.040945 Loss_D_real: -0.021478 Loss_D_fake 0.005926
[461/5000][480/535][47375] Loss_D: -0.026037 Loss_G: 0.001034 Loss_D_real: -0.007025 Loss_D_fake 0.019012
[461/5000][485/535][47376] Loss_D: -0.026027 Loss_G: 0.016720 Loss_D_real: -0.027978 Loss_D_fake -0.001951
[461/5000][490/535][47377] Loss_D: -0.027215 Loss_G: 0.027913 Loss_D_real: -0.035955 Loss_D_fake -0.008740
[461/5000][495/535][47378] Loss_D: -0.028163 Loss_G: -0.015063 Loss_D_real: -0.002273 Loss_D_fake 0.025890
[461/5000][500/535][47379] Loss_D: -0.026753 Loss_G: 0.014981 Loss_D_real: -0.011282 Loss_D_fake 0.015472
[461/5000][505/535][47380] Loss_D: -0.025561 Loss_G: 0.032456 Loss_D_real: -0.030896 Loss_D_fake -0.005334
[461/5000][510/535][47381] Loss_D: -0.027075 Loss_G: 0.013883 Loss_D_real: -0.017662 Loss_D_fake 0.009413
[461/5000][515/535][47382] Loss_D: -0.027535 Loss_G: 0.030652 Loss_D_real: -0.034643 Loss_D_fake -0.007108
[461/5000][520/535][47383] Loss_D: -0.028060 Loss_G: 0.006266 Loss_D_real: -0.007750 Loss_D_fake 0.020310
[461/5000][525/535][47384] Loss_D: -0.026245 Loss_G: -0.007000 Loss_D_real: 0.002192 Loss_D_fake 0.028437
[461/5000][530/535][47385] Loss_D: -0.027594 Loss_G: 0.027194 Loss_D_real: -0.023789 Loss_D_fake 0.003805
[461/5000][535/535][47386] Loss_D: -0.027694 Loss_G: 0.006696 Loss_D_real: -0.018658 Loss_D_fake 0.009036
[462/5000][5/535][47387] Loss_D: -0.027109 Loss_G: 0.002270 Loss_D_real: -0.005060 Loss_D_fake 0.022050
[462/5000][10/535][47388] Loss_D: -0.027657 Loss_G: 0.019356 Loss_D_real: -0.012939 Loss_D_fake 0.014718
[462/5000][15/535][47389] Loss_D: -0.027020 Loss_G: 0.022900 Loss_D_real: -0.021041 Loss_D_fake 0.005979
[462/5000][20/535][47390] Loss_D: -0.027746 Loss_G: 0.017085 Loss_D_real: -0.022482 Loss_D_fake 0.005264
[462/5000][25/535][47391] Loss_D: -0.028339 Loss_G: -0.008328 Loss_D_real: -0.006946 Loss_D_fake 0.021393
[462/5000][30/535][47392] Loss_D: -0.026093 Loss_G: 0.026587 Loss_D_real: -0.024910 Loss_D_fake 0.001183
[462/5000][35/535][47393] Loss_D: -0.026565 Loss_G: 0.021132 Loss_D_real: -0.026589 Loss_D_fake -0.000025
[462/5000][40/535][47394] Loss_D: -0.026803 Loss_G: 0.024537 Loss_D_real: -0.026232 Loss_D_fake 0.000571
[462/5000][45/535][47395] Loss_D: -0.028629 Loss_G: 0.005719 Loss_D_real: -0.006936 Loss_D_fake 0.021693
[462/5000][50/535][47396] Loss_D: -0.027567 Loss_G: 0.020148 Loss_D_real: -0.015387 Loss_D_fake 0.012180
[462/5000][55/535][47397] Loss_D: -0.027272 Loss_G: -0.000541 Loss_D_real: -0.007294 Loss_D_fake 0.019978
[462/5000][60/535][47398] Loss_D: -0.026430 Loss_G: 0.019540 Loss_D_real: -0.031048 Loss_D_fake -0.004618
[462/5000][65/535][47399] Loss_D: -0.027711 Loss_G: -0.000899 Loss_D_real: -0.011773 Loss_D_fake 0.015938
[462/5000][70/535][47400] Loss_D: -0.025856 Loss_G: 0.019505 Loss_D_real: -0.032956 Loss_D_fake -0.007100
[462/5000][75/535][47401] Loss_D: -0.026359 Loss_G: 0.008660 Loss_D_real: -0.015481 Loss_D_fake 0.010878
[462/5000][80/535][47402] Loss_D: -0.027093 Loss_G: 0.032633 Loss_D_real: -0.029853 Loss_D_fake -0.002760
[462/5000][85/535][47403] Loss_D: -0.027299 Loss_G: 0.025848 Loss_D_real: -0.025282 Loss_D_fake 0.002017
[462/5000][90/535][47404] Loss_D: -0.028260 Loss_G: 0.003660 Loss_D_real: -0.011393 Loss_D_fake 0.016867
[462/5000][95/535][47405] Loss_D: -0.027307 Loss_G: -0.014102 Loss_D_real: 0.007755 Loss_D_fake 0.035062
[462/5000][100/535][47406] Loss_D: -0.024978 Loss_G: 0.020043 Loss_D_real: -0.024646 Loss_D_fake 0.000331
[462/5000][105/535][47407] Loss_D: -0.028061 Loss_G: 0.020630 Loss_D_real: -0.016229 Loss_D_fake 0.011832
[462/5000][110/535][47408] Loss_D: -0.026980 Loss_G: 0.006460 Loss_D_real: -0.009127 Loss_D_fake 0.017853
[462/5000][115/535][47409] Loss_D: -0.027949 Loss_G: -0.005403 Loss_D_real: -0.015341 Loss_D_fake 0.012608
[462/5000][120/535][47410] Loss_D: -0.027218 Loss_G: 0.010250 Loss_D_real: -0.010684 Loss_D_fake 0.016534
[462/5000][125/535][47411] Loss_D: -0.028271 Loss_G: 0.016929 Loss_D_real: -0.027618 Loss_D_fake 0.000654
[462/5000][130/535][47412] Loss_D: -0.027628 Loss_G: 0.036863 Loss_D_real: -0.027272 Loss_D_fake 0.000356
[462/5000][135/535][47413] Loss_D: -0.026238 Loss_G: -0.016915 Loss_D_real: 0.006887 Loss_D_fake 0.033125
[462/5000][140/535][47414] Loss_D: -0.027299 Loss_G: 0.021114 Loss_D_real: -0.029743 Loss_D_fake -0.002444
[462/5000][145/535][47415] Loss_D: -0.027362 Loss_G: 0.007808 Loss_D_real: -0.020307 Loss_D_fake 0.007055
[462/5000][150/535][47416] Loss_D: -0.026736 Loss_G: 0.031013 Loss_D_real: -0.023212 Loss_D_fake 0.003524
[462/5000][155/535][47417] Loss_D: -0.027206 Loss_G: 0.039038 Loss_D_real: -0.036372 Loss_D_fake -0.009167
[462/5000][160/535][47418] Loss_D: -0.026384 Loss_G: -0.004676 Loss_D_real: 0.000000 Loss_D_fake 0.026385
[462/5000][165/535][47419] Loss_D: -0.027641 Loss_G: 0.007756 Loss_D_real: -0.016755 Loss_D_fake 0.010887
[462/5000][170/535][47420] Loss_D: -0.027343 Loss_G: 0.014304 Loss_D_real: -0.026592 Loss_D_fake 0.000751
[462/5000][175/535][47421] Loss_D: -0.028135 Loss_G: 0.020235 Loss_D_real: -0.018768 Loss_D_fake 0.009366
[462/5000][180/535][47422] Loss_D: -0.025698 Loss_G: 0.041009 Loss_D_real: -0.035455 Loss_D_fake -0.009757
[462/5000][185/535][47423] Loss_D: -0.027155 Loss_G: -0.001488 Loss_D_real: -0.002833 Loss_D_fake 0.024322
[462/5000][190/535][47424] Loss_D: -0.026873 Loss_G: 0.014743 Loss_D_real: -0.024149 Loss_D_fake 0.002724
[462/5000][195/535][47425] Loss_D: -0.029218 Loss_G: 0.022959 Loss_D_real: -0.023774 Loss_D_fake 0.005443
[462/5000][200/535][47426] Loss_D: -0.028026 Loss_G: 0.016475 Loss_D_real: -0.008195 Loss_D_fake 0.019831
[462/5000][205/535][47427] Loss_D: -0.026161 Loss_G: 0.039576 Loss_D_real: -0.040807 Loss_D_fake -0.014646
[462/5000][210/535][47428] Loss_D: -0.026768 Loss_G: 0.005107 Loss_D_real: -0.013207 Loss_D_fake 0.013561
[462/5000][215/535][47429] Loss_D: -0.026986 Loss_G: 0.001802 Loss_D_real: -0.020755 Loss_D_fake 0.006231
[462/5000][220/535][47430] Loss_D: -0.028326 Loss_G: 0.019579 Loss_D_real: -0.024710 Loss_D_fake 0.003616
[462/5000][225/535][47431] Loss_D: -0.026365 Loss_G: 0.001377 Loss_D_real: -0.003697 Loss_D_fake 0.022668
[462/5000][230/535][47432] Loss_D: -0.026593 Loss_G: 0.006914 Loss_D_real: -0.012520 Loss_D_fake 0.014073
[462/5000][235/535][47433] Loss_D: -0.028822 Loss_G: 0.002865 Loss_D_real: -0.007498 Loss_D_fake 0.021323
[462/5000][240/535][47434] Loss_D: -0.026659 Loss_G: 0.000952 Loss_D_real: -0.005248 Loss_D_fake 0.021410
[462/5000][245/535][47435] Loss_D: -0.026792 Loss_G: 0.036300 Loss_D_real: -0.023935 Loss_D_fake 0.002857
[462/5000][250/535][47436] Loss_D: -0.028658 Loss_G: 0.022350 Loss_D_real: -0.025862 Loss_D_fake 0.002796
[462/5000][255/535][47437] Loss_D: -0.028691 Loss_G: 0.036243 Loss_D_real: -0.032080 Loss_D_fake -0.003389
[462/5000][260/535][47438] Loss_D: -0.028420 Loss_G: 0.011553 Loss_D_real: -0.011956 Loss_D_fake 0.016463
[462/5000][265/535][47439] Loss_D: -0.028052 Loss_G: -0.001797 Loss_D_real: -0.004242 Loss_D_fake 0.023809
[462/5000][270/535][47440] Loss_D: -0.025514 Loss_G: 0.025122 Loss_D_real: -0.021450 Loss_D_fake 0.004064
[462/5000][275/535][47441] Loss_D: -0.028231 Loss_G: 0.006280 Loss_D_real: -0.010437 Loss_D_fake 0.017793
[462/5000][280/535][47442] Loss_D: -0.027850 Loss_G: 0.014281 Loss_D_real: -0.018823 Loss_D_fake 0.009028
[462/5000][285/535][47443] Loss_D: -0.027067 Loss_G: 0.026228 Loss_D_real: -0.011590 Loss_D_fake 0.015477
[462/5000][290/535][47444] Loss_D: -0.028189 Loss_G: -0.007828 Loss_D_real: -0.001892 Loss_D_fake 0.026296
[462/5000][295/535][47445] Loss_D: -0.028087 Loss_G: 0.019654 Loss_D_real: -0.021964 Loss_D_fake 0.006124
[462/5000][300/535][47446] Loss_D: -0.029087 Loss_G: 0.028288 Loss_D_real: -0.030355 Loss_D_fake -0.001268
[462/5000][305/535][47447] Loss_D: -0.027756 Loss_G: 0.002431 Loss_D_real: -0.007483 Loss_D_fake 0.020274
[462/5000][310/535][47448] Loss_D: -0.027906 Loss_G: 0.028058 Loss_D_real: -0.018822 Loss_D_fake 0.009083
[462/5000][315/535][47449] Loss_D: -0.028372 Loss_G: 0.001331 Loss_D_real: -0.014517 Loss_D_fake 0.013856
[462/5000][320/535][47450] Loss_D: -0.027602 Loss_G: 0.024101 Loss_D_real: -0.020266 Loss_D_fake 0.007337
[462/5000][325/535][47451] Loss_D: -0.027920 Loss_G: 0.018621 Loss_D_real: -0.017053 Loss_D_fake 0.010867
[462/5000][330/535][47452] Loss_D: -0.026697 Loss_G: 0.026189 Loss_D_real: -0.026226 Loss_D_fake 0.000471
[462/5000][335/535][47453] Loss_D: -0.027742 Loss_G: 0.017620 Loss_D_real: -0.025544 Loss_D_fake 0.002198
[462/5000][340/535][47454] Loss_D: -0.027464 Loss_G: 0.024361 Loss_D_real: -0.019962 Loss_D_fake 0.007502
[462/5000][345/535][47455] Loss_D: -0.027298 Loss_G: 0.012924 Loss_D_real: -0.012900 Loss_D_fake 0.014398
[462/5000][350/535][47456] Loss_D: -0.027998 Loss_G: 0.041375 Loss_D_real: -0.037031 Loss_D_fake -0.009033
[462/5000][355/535][47457] Loss_D: -0.027719 Loss_G: 0.018539 Loss_D_real: -0.016723 Loss_D_fake 0.010996
[462/5000][360/535][47458] Loss_D: -0.027502 Loss_G: -0.002000 Loss_D_real: -0.007652 Loss_D_fake 0.019851
[462/5000][365/535][47459] Loss_D: -0.027279 Loss_G: 0.011281 Loss_D_real: -0.022838 Loss_D_fake 0.004440
[462/5000][370/535][47460] Loss_D: -0.027561 Loss_G: 0.015915 Loss_D_real: -0.022670 Loss_D_fake 0.004891
[462/5000][375/535][47461] Loss_D: -0.026407 Loss_G: -0.013679 Loss_D_real: -0.002111 Loss_D_fake 0.024296
[462/5000][380/535][47462] Loss_D: -0.027239 Loss_G: 0.021644 Loss_D_real: -0.036907 Loss_D_fake -0.009668
[462/5000][385/535][47463] Loss_D: -0.027911 Loss_G: 0.028775 Loss_D_real: -0.023042 Loss_D_fake 0.004868
[462/5000][390/535][47464] Loss_D: -0.028588 Loss_G: 0.019002 Loss_D_real: -0.023887 Loss_D_fake 0.004701
[462/5000][395/535][47465] Loss_D: -0.027919 Loss_G: 0.009215 Loss_D_real: -0.009178 Loss_D_fake 0.018742
[462/5000][400/535][47466] Loss_D: -0.027972 Loss_G: 0.022973 Loss_D_real: -0.026584 Loss_D_fake 0.001388
[462/5000][405/535][47467] Loss_D: -0.027638 Loss_G: 0.014978 Loss_D_real: -0.016608 Loss_D_fake 0.011030
[462/5000][410/535][47468] Loss_D: -0.027346 Loss_G: 0.018400 Loss_D_real: -0.023714 Loss_D_fake 0.003632
[462/5000][415/535][47469] Loss_D: -0.025382 Loss_G: 0.033674 Loss_D_real: -0.033074 Loss_D_fake -0.007692
[462/5000][420/535][47470] Loss_D: -0.027403 Loss_G: 0.022036 Loss_D_real: -0.015283 Loss_D_fake 0.012120
[462/5000][425/535][47471] Loss_D: -0.027517 Loss_G: 0.005446 Loss_D_real: -0.008771 Loss_D_fake 0.018747
[462/5000][430/535][47472] Loss_D: -0.026408 Loss_G: -0.004760 Loss_D_real: -0.000387 Loss_D_fake 0.026021
[462/5000][435/535][47473] Loss_D: -0.027230 Loss_G: 0.005163 Loss_D_real: -0.015676 Loss_D_fake 0.011554
[462/5000][440/535][47474] Loss_D: -0.028492 Loss_G: 0.024205 Loss_D_real: -0.019314 Loss_D_fake 0.009179
[462/5000][445/535][47475] Loss_D: -0.028393 Loss_G: 0.011650 Loss_D_real: -0.026272 Loss_D_fake 0.002121
[462/5000][450/535][47476] Loss_D: -0.026971 Loss_G: 0.034294 Loss_D_real: -0.023793 Loss_D_fake 0.003178
[462/5000][455/535][47477] Loss_D: -0.026619 Loss_G: -0.001354 Loss_D_real: -0.001788 Loss_D_fake 0.024831
[462/5000][460/535][47478] Loss_D: -0.026743 Loss_G: 0.024101 Loss_D_real: -0.030252 Loss_D_fake -0.003509
[462/5000][465/535][47479] Loss_D: -0.026322 Loss_G: 0.010193 Loss_D_real: -0.019650 Loss_D_fake 0.006671
[462/5000][470/535][47480] Loss_D: -0.027034 Loss_G: 0.019849 Loss_D_real: -0.025405 Loss_D_fake 0.001630
[462/5000][475/535][47481] Loss_D: -0.027374 Loss_G: 0.017848 Loss_D_real: -0.011074 Loss_D_fake 0.016300
[462/5000][480/535][47482] Loss_D: -0.026546 Loss_G: -0.000826 Loss_D_real: -0.005493 Loss_D_fake 0.021052
[462/5000][485/535][47483] Loss_D: -0.025754 Loss_G: 0.030503 Loss_D_real: -0.029328 Loss_D_fake -0.003574
[462/5000][490/535][47484] Loss_D: -0.027672 Loss_G: -0.002636 Loss_D_real: 0.001672 Loss_D_fake 0.029344
[462/5000][495/535][47485] Loss_D: -0.026520 Loss_G: 0.023454 Loss_D_real: -0.014955 Loss_D_fake 0.011565
[462/5000][500/535][47486] Loss_D: -0.027167 Loss_G: 0.035688 Loss_D_real: -0.028689 Loss_D_fake -0.001522
[462/5000][505/535][47487] Loss_D: -0.025730 Loss_G: -0.015660 Loss_D_real: -0.000966 Loss_D_fake 0.024764
[462/5000][510/535][47488] Loss_D: -0.026952 Loss_G: 0.016941 Loss_D_real: -0.010406 Loss_D_fake 0.016545
[462/5000][515/535][47489] Loss_D: -0.028480 Loss_G: 0.006705 Loss_D_real: -0.015803 Loss_D_fake 0.012677
[462/5000][520/535][47490] Loss_D: -0.026651 Loss_G: 0.022674 Loss_D_real: -0.026548 Loss_D_fake 0.000103
[462/5000][525/535][47491] Loss_D: -0.026762 Loss_G: -0.005463 Loss_D_real: -0.003168 Loss_D_fake 0.023594
[462/5000][530/535][47492] Loss_D: -0.027009 Loss_G: 0.024599 Loss_D_real: -0.021770 Loss_D_fake 0.005239
[462/5000][535/535][47493] Loss_D: -0.026102 Loss_G: -0.006052 Loss_D_real: -0.003851 Loss_D_fake 0.022251
[463/5000][5/535][47494] Loss_D: -0.026472 Loss_G: 0.019594 Loss_D_real: -0.018711 Loss_D_fake 0.007761
[463/5000][10/535][47495] Loss_D: -0.024790 Loss_G: 0.033376 Loss_D_real: -0.034034 Loss_D_fake -0.009243
[463/5000][15/535][47496] Loss_D: -0.026345 Loss_G: 0.007873 Loss_D_real: -0.016909 Loss_D_fake 0.009436
[463/5000][20/535][47497] Loss_D: -0.027833 Loss_G: 0.029576 Loss_D_real: -0.018351 Loss_D_fake 0.009481
[463/5000][25/535][47498] Loss_D: -0.026699 Loss_G: 0.009546 Loss_D_real: -0.015606 Loss_D_fake 0.011092
[463/5000][30/535][47499] Loss_D: -0.027664 Loss_G: 0.012112 Loss_D_real: -0.010964 Loss_D_fake 0.016700
[463/5000][35/535][47500] Loss_D: -0.027175 Loss_G: 0.025714 Loss_D_real: -0.022790 Loss_D_fake 0.004385
[463/5000][135/535][47501] Loss_D: -0.030168 Loss_G: 0.019564 Loss_D_real: -0.022245 Loss_D_fake 0.007923
[463/5000][140/535][47502] Loss_D: -0.028273 Loss_G: -0.000302 Loss_D_real: -0.002856 Loss_D_fake 0.025417
[463/5000][145/535][47503] Loss_D: -0.026990 Loss_G: 0.018019 Loss_D_real: -0.019028 Loss_D_fake 0.007962
[463/5000][150/535][47504] Loss_D: -0.026396 Loss_G: 0.009976 Loss_D_real: -0.011810 Loss_D_fake 0.014586
[463/5000][155/535][47505] Loss_D: -0.025244 Loss_G: 0.007048 Loss_D_real: -0.015421 Loss_D_fake 0.009823
[463/5000][160/535][47506] Loss_D: -0.025555 Loss_G: 0.022832 Loss_D_real: -0.024911 Loss_D_fake 0.000644
[463/5000][165/535][47507] Loss_D: -0.025135 Loss_G: -0.013463 Loss_D_real: 0.001012 Loss_D_fake 0.026147
[463/5000][170/535][47508] Loss_D: -0.025502 Loss_G: 0.029400 Loss_D_real: -0.026555 Loss_D_fake -0.001053
[463/5000][175/535][47509] Loss_D: -0.026945 Loss_G: 0.009194 Loss_D_real: -0.010294 Loss_D_fake 0.016652
[463/5000][180/535][47510] Loss_D: -0.027666 Loss_G: 0.028475 Loss_D_real: -0.024368 Loss_D_fake 0.003297
[463/5000][185/535][47511] Loss_D: -0.026789 Loss_G: 0.002418 Loss_D_real: -0.005317 Loss_D_fake 0.021472
[463/5000][190/535][47512] Loss_D: -0.026811 Loss_G: 0.039589 Loss_D_real: -0.029979 Loss_D_fake -0.003168
[463/5000][195/535][47513] Loss_D: -0.026122 Loss_G: 0.004365 Loss_D_real: -0.010133 Loss_D_fake 0.015989
[463/5000][200/535][47514] Loss_D: -0.028045 Loss_G: 0.021455 Loss_D_real: -0.033415 Loss_D_fake -0.005370
[463/5000][205/535][47515] Loss_D: -0.026263 Loss_G: 0.004942 Loss_D_real: -0.010062 Loss_D_fake 0.016201
[463/5000][210/535][47516] Loss_D: -0.025674 Loss_G: 0.029137 Loss_D_real: -0.026903 Loss_D_fake -0.001229
[463/5000][215/535][47517] Loss_D: -0.027741 Loss_G: 0.011795 Loss_D_real: -0.016682 Loss_D_fake 0.011059
[463/5000][220/535][47518] Loss_D: -0.028546 Loss_G: 0.035119 Loss_D_real: -0.027411 Loss_D_fake 0.001135
[463/5000][225/535][47519] Loss_D: -0.027633 Loss_G: 0.002841 Loss_D_real: -0.010735 Loss_D_fake 0.016898
[463/5000][230/535][47520] Loss_D: -0.028765 Loss_G: 0.020258 Loss_D_real: -0.026766 Loss_D_fake 0.001999
[463/5000][235/535][47521] Loss_D: -0.028770 Loss_G: 0.012494 Loss_D_real: -0.011797 Loss_D_fake 0.016973
[463/5000][240/535][47522] Loss_D: -0.027930 Loss_G: 0.021475 Loss_D_real: -0.014122 Loss_D_fake 0.013809
[463/5000][245/535][47523] Loss_D: -0.026795 Loss_G: 0.026945 Loss_D_real: -0.018026 Loss_D_fake 0.008769
[463/5000][250/535][47524] Loss_D: -0.024751 Loss_G: -0.015357 Loss_D_real: 0.013413 Loss_D_fake 0.038164
[463/5000][255/535][47525] Loss_D: -0.025233 Loss_G: 0.013979 Loss_D_real: -0.012680 Loss_D_fake 0.012553
[463/5000][260/535][47526] Loss_D: -0.027900 Loss_G: 0.008687 Loss_D_real: -0.015595 Loss_D_fake 0.012305
[463/5000][265/535][47527] Loss_D: -0.028169 Loss_G: 0.002013 Loss_D_real: -0.008067 Loss_D_fake 0.020102
[463/5000][270/535][47528] Loss_D: -0.027885 Loss_G: 0.018356 Loss_D_real: -0.013028 Loss_D_fake 0.014857
[463/5000][275/535][47529] Loss_D: -0.026710 Loss_G: 0.013330 Loss_D_real: -0.016640 Loss_D_fake 0.010071
[463/5000][280/535][47530] Loss_D: -0.027591 Loss_G: 0.033311 Loss_D_real: -0.029776 Loss_D_fake -0.002185
[463/5000][285/535][47531] Loss_D: -0.027049 Loss_G: 0.032450 Loss_D_real: -0.031409 Loss_D_fake -0.004360
[463/5000][290/535][47532] Loss_D: -0.027181 Loss_G: -0.011055 Loss_D_real: -0.002635 Loss_D_fake 0.024547
[463/5000][295/535][47533] Loss_D: -0.026932 Loss_G: 0.029319 Loss_D_real: -0.027513 Loss_D_fake -0.000581
[463/5000][300/535][47534] Loss_D: -0.028203 Loss_G: -0.002031 Loss_D_real: -0.011721 Loss_D_fake 0.016482
[463/5000][305/535][47535] Loss_D: -0.028135 Loss_G: 0.017620 Loss_D_real: -0.020487 Loss_D_fake 0.007648
[463/5000][310/535][47536] Loss_D: -0.028765 Loss_G: -0.000359 Loss_D_real: -0.003171 Loss_D_fake 0.025594
[463/5000][315/535][47537] Loss_D: -0.028029 Loss_G: 0.012398 Loss_D_real: -0.022204 Loss_D_fake 0.005825
[463/5000][320/535][47538] Loss_D: -0.028918 Loss_G: 0.030738 Loss_D_real: -0.034912 Loss_D_fake -0.005994
[463/5000][325/535][47539] Loss_D: -0.028807 Loss_G: 0.018660 Loss_D_real: -0.016575 Loss_D_fake 0.012232
[463/5000][330/535][47540] Loss_D: -0.029518 Loss_G: 0.030451 Loss_D_real: -0.023101 Loss_D_fake 0.006417
[463/5000][335/535][47541] Loss_D: -0.029225 Loss_G: 0.021403 Loss_D_real: -0.015594 Loss_D_fake 0.013631
[463/5000][340/535][47542] Loss_D: -0.028373 Loss_G: 0.012794 Loss_D_real: -0.017137 Loss_D_fake 0.011236
[463/5000][345/535][47543] Loss_D: -0.029285 Loss_G: 0.015486 Loss_D_real: -0.027201 Loss_D_fake 0.002085
[463/5000][350/535][47544] Loss_D: -0.026490 Loss_G: 0.027424 Loss_D_real: -0.028253 Loss_D_fake -0.001763
[463/5000][355/535][47545] Loss_D: -0.027383 Loss_G: -0.011171 Loss_D_real: 0.006414 Loss_D_fake 0.033797
[463/5000][360/535][47546] Loss_D: -0.026404 Loss_G: 0.013521 Loss_D_real: -0.023882 Loss_D_fake 0.002522
[463/5000][365/535][47547] Loss_D: -0.027165 Loss_G: 0.023516 Loss_D_real: -0.023706 Loss_D_fake 0.003459
[463/5000][370/535][47548] Loss_D: -0.027310 Loss_G: 0.032644 Loss_D_real: -0.035323 Loss_D_fake -0.008013
[463/5000][375/535][47549] Loss_D: -0.027462 Loss_G: 0.011660 Loss_D_real: -0.016390 Loss_D_fake 0.011071
[463/5000][380/535][47550] Loss_D: -0.026462 Loss_G: 0.003828 Loss_D_real: -0.009417 Loss_D_fake 0.017045
[463/5000][385/535][47551] Loss_D: -0.024844 Loss_G: 0.029511 Loss_D_real: -0.026182 Loss_D_fake -0.001338
[463/5000][390/535][47552] Loss_D: -0.026814 Loss_G: 0.002971 Loss_D_real: -0.007164 Loss_D_fake 0.019650
[463/5000][395/535][47553] Loss_D: -0.028123 Loss_G: 0.011624 Loss_D_real: -0.015688 Loss_D_fake 0.012435
[463/5000][400/535][47554] Loss_D: -0.026220 Loss_G: 0.001358 Loss_D_real: -0.017493 Loss_D_fake 0.008727
[463/5000][405/535][47555] Loss_D: -0.026438 Loss_G: 0.014445 Loss_D_real: -0.019582 Loss_D_fake 0.006856
[463/5000][410/535][47556] Loss_D: -0.027321 Loss_G: 0.003300 Loss_D_real: -0.009511 Loss_D_fake 0.017809
[463/5000][415/535][47557] Loss_D: -0.028500 Loss_G: 0.029319 Loss_D_real: -0.017924 Loss_D_fake 0.010576
[463/5000][420/535][47558] Loss_D: -0.026901 Loss_G: 0.036478 Loss_D_real: -0.039955 Loss_D_fake -0.013054
[463/5000][425/535][47559] Loss_D: -0.028381 Loss_G: -0.006888 Loss_D_real: -0.011145 Loss_D_fake 0.017236
[463/5000][430/535][47560] Loss_D: -0.026948 Loss_G: 0.033438 Loss_D_real: -0.032738 Loss_D_fake -0.005790
[463/5000][435/535][47561] Loss_D: -0.027010 Loss_G: 0.010355 Loss_D_real: -0.015616 Loss_D_fake 0.011394
[463/5000][440/535][47562] Loss_D: -0.027550 Loss_G: 0.026320 Loss_D_real: -0.013666 Loss_D_fake 0.013884
[463/5000][445/535][47563] Loss_D: -0.026422 Loss_G: 0.007010 Loss_D_real: -0.008685 Loss_D_fake 0.017737
[463/5000][450/535][47564] Loss_D: -0.028594 Loss_G: 0.035055 Loss_D_real: -0.035143 Loss_D_fake -0.006549
[463/5000][455/535][47565] Loss_D: -0.027705 Loss_G: 0.018748 Loss_D_real: -0.020012 Loss_D_fake 0.007693
[463/5000][460/535][47566] Loss_D: -0.028180 Loss_G: 0.028044 Loss_D_real: -0.017736 Loss_D_fake 0.010444
[463/5000][465/535][47567] Loss_D: -0.028102 Loss_G: 0.012740 Loss_D_real: -0.013948 Loss_D_fake 0.014154
[463/5000][470/535][47568] Loss_D: -0.025349 Loss_G: -0.011009 Loss_D_real: 0.007437 Loss_D_fake 0.032786
[463/5000][475/535][47569] Loss_D: -0.025653 Loss_G: -0.006458 Loss_D_real: -0.003972 Loss_D_fake 0.021681
[463/5000][480/535][47570] Loss_D: -0.026542 Loss_G: 0.039212 Loss_D_real: -0.025762 Loss_D_fake 0.000780
[463/5000][485/535][47571] Loss_D: -0.027462 Loss_G: -0.002084 Loss_D_real: -0.011224 Loss_D_fake 0.016238
[463/5000][490/535][47572] Loss_D: -0.025267 Loss_G: 0.023700 Loss_D_real: -0.020834 Loss_D_fake 0.004433
[463/5000][495/535][47573] Loss_D: -0.027281 Loss_G: 0.020800 Loss_D_real: -0.024152 Loss_D_fake 0.003128
[463/5000][500/535][47574] Loss_D: -0.027857 Loss_G: 0.009573 Loss_D_real: -0.009563 Loss_D_fake 0.018294
[463/5000][505/535][47575] Loss_D: -0.027936 Loss_G: 0.026026 Loss_D_real: -0.023875 Loss_D_fake 0.004061
[463/5000][510/535][47576] Loss_D: -0.026841 Loss_G: 0.001935 Loss_D_real: -0.004584 Loss_D_fake 0.022258
[463/5000][515/535][47577] Loss_D: -0.028145 Loss_G: 0.010931 Loss_D_real: -0.017282 Loss_D_fake 0.010863
[463/5000][520/535][47578] Loss_D: -0.026142 Loss_G: 0.029222 Loss_D_real: -0.027688 Loss_D_fake -0.001545
[463/5000][525/535][47579] Loss_D: -0.027079 Loss_G: 0.015265 Loss_D_real: -0.015673 Loss_D_fake 0.011405
[463/5000][530/535][47580] Loss_D: -0.026239 Loss_G: -0.006553 Loss_D_real: 0.002357 Loss_D_fake 0.028596
[463/5000][535/535][47581] Loss_D: -0.026833 Loss_G: -0.016025 Loss_D_real: -0.006666 Loss_D_fake 0.020167
[464/5000][5/535][47582] Loss_D: -0.027056 Loss_G: 0.015838 Loss_D_real: -0.017568 Loss_D_fake 0.009488
[464/5000][10/535][47583] Loss_D: -0.027470 Loss_G: 0.013143 Loss_D_real: -0.005875 Loss_D_fake 0.021596
[464/5000][15/535][47584] Loss_D: -0.028221 Loss_G: 0.000168 Loss_D_real: -0.002478 Loss_D_fake 0.025744
[464/5000][20/535][47585] Loss_D: -0.027891 Loss_G: 0.023374 Loss_D_real: -0.030727 Loss_D_fake -0.002836
[464/5000][25/535][47586] Loss_D: -0.027207 Loss_G: 0.035168 Loss_D_real: -0.026631 Loss_D_fake 0.000576
[464/5000][30/535][47587] Loss_D: -0.027723 Loss_G: 0.014521 Loss_D_real: -0.026103 Loss_D_fake 0.001620
[464/5000][35/535][47588] Loss_D: -0.027916 Loss_G: 0.015129 Loss_D_real: -0.017684 Loss_D_fake 0.010232
[464/5000][40/535][47589] Loss_D: -0.027845 Loss_G: 0.023047 Loss_D_real: -0.024491 Loss_D_fake 0.003354
[464/5000][45/535][47590] Loss_D: -0.027698 Loss_G: -0.002949 Loss_D_real: -0.007389 Loss_D_fake 0.020309
[464/5000][50/535][47591] Loss_D: -0.026376 Loss_G: 0.023905 Loss_D_real: -0.016952 Loss_D_fake 0.009424
[464/5000][55/535][47592] Loss_D: -0.026049 Loss_G: 0.009107 Loss_D_real: -0.018270 Loss_D_fake 0.007779
[464/5000][60/535][47593] Loss_D: -0.027530 Loss_G: 0.016144 Loss_D_real: -0.017313 Loss_D_fake 0.010217
[464/5000][65/535][47594] Loss_D: -0.027870 Loss_G: 0.018261 Loss_D_real: -0.025769 Loss_D_fake 0.002101
[464/5000][70/535][47595] Loss_D: -0.027312 Loss_G: -0.013559 Loss_D_real: -0.004541 Loss_D_fake 0.022771
[464/5000][75/535][47596] Loss_D: -0.025338 Loss_G: -0.012719 Loss_D_real: 0.000628 Loss_D_fake 0.025966
[464/5000][80/535][47597] Loss_D: -0.026719 Loss_G: 0.021474 Loss_D_real: -0.027314 Loss_D_fake -0.000596
[464/5000][85/535][47598] Loss_D: -0.029620 Loss_G: 0.013930 Loss_D_real: -0.015638 Loss_D_fake 0.013982
[464/5000][90/535][47599] Loss_D: -0.027975 Loss_G: 0.021912 Loss_D_real: -0.029656 Loss_D_fake -0.001681
[464/5000][95/535][47600] Loss_D: -0.029253 Loss_G: 0.020415 Loss_D_real: -0.026989 Loss_D_fake 0.002264
[464/5000][100/535][47601] Loss_D: -0.026789 Loss_G: 0.025476 Loss_D_real: -0.027396 Loss_D_fake -0.000606
[464/5000][105/535][47602] Loss_D: -0.026933 Loss_G: 0.038143 Loss_D_real: -0.035806 Loss_D_fake -0.008873
[464/5000][110/535][47603] Loss_D: -0.028880 Loss_G: -0.012427 Loss_D_real: -0.004229 Loss_D_fake 0.024651
[464/5000][115/535][47604] Loss_D: -0.027536 Loss_G: 0.013140 Loss_D_real: -0.010596 Loss_D_fake 0.016940
[464/5000][120/535][47605] Loss_D: -0.028495 Loss_G: 0.021610 Loss_D_real: -0.018064 Loss_D_fake 0.010431
[464/5000][125/535][47606] Loss_D: -0.027715 Loss_G: 0.006518 Loss_D_real: -0.017641 Loss_D_fake 0.010074
[464/5000][130/535][47607] Loss_D: -0.026248 Loss_G: 0.028567 Loss_D_real: -0.029675 Loss_D_fake -0.003427
[464/5000][135/535][47608] Loss_D: -0.026415 Loss_G: -0.006578 Loss_D_real: -0.000244 Loss_D_fake 0.026171
[464/5000][140/535][47609] Loss_D: -0.027496 Loss_G: 0.011040 Loss_D_real: -0.011546 Loss_D_fake 0.015950
[464/5000][145/535][47610] Loss_D: -0.027401 Loss_G: 0.023778 Loss_D_real: -0.032435 Loss_D_fake -0.005034
[464/5000][150/535][47611] Loss_D: -0.027451 Loss_G: 0.034970 Loss_D_real: -0.029674 Loss_D_fake -0.002223
[464/5000][155/535][47612] Loss_D: -0.026324 Loss_G: -0.005793 Loss_D_real: -0.001056 Loss_D_fake 0.025268
[464/5000][160/535][47613] Loss_D: -0.027633 Loss_G: 0.003734 Loss_D_real: -0.010175 Loss_D_fake 0.017458
[464/5000][165/535][47614] Loss_D: -0.027658 Loss_G: 0.014630 Loss_D_real: -0.009487 Loss_D_fake 0.018171
[464/5000][170/535][47615] Loss_D: -0.025157 Loss_G: -0.015251 Loss_D_real: 0.003778 Loss_D_fake 0.028935
[464/5000][175/535][47616] Loss_D: -0.027157 Loss_G: 0.022514 Loss_D_real: -0.026317 Loss_D_fake 0.000840
[464/5000][180/535][47617] Loss_D: -0.026907 Loss_G: 0.037610 Loss_D_real: -0.032293 Loss_D_fake -0.005386
[464/5000][185/535][47618] Loss_D: -0.028025 Loss_G: 0.020458 Loss_D_real: -0.030655 Loss_D_fake -0.002631
[464/5000][190/535][47619] Loss_D: -0.026573 Loss_G: 0.032015 Loss_D_real: -0.030070 Loss_D_fake -0.003497
[464/5000][195/535][47620] Loss_D: -0.027404 Loss_G: 0.020866 Loss_D_real: -0.029647 Loss_D_fake -0.002243
[464/5000][200/535][47621] Loss_D: -0.026816 Loss_G: -0.011495 Loss_D_real: 0.004503 Loss_D_fake 0.031319
[464/5000][205/535][47622] Loss_D: -0.026011 Loss_G: 0.016243 Loss_D_real: -0.018485 Loss_D_fake 0.007526
[464/5000][210/535][47623] Loss_D: -0.028341 Loss_G: 0.016388 Loss_D_real: -0.017472 Loss_D_fake 0.010869
[464/5000][215/535][47624] Loss_D: -0.027924 Loss_G: 0.018873 Loss_D_real: -0.028554 Loss_D_fake -0.000630
[464/5000][220/535][47625] Loss_D: -0.027131 Loss_G: 0.026150 Loss_D_real: -0.021180 Loss_D_fake 0.005951
[464/5000][225/535][47626] Loss_D: -0.028381 Loss_G: 0.019067 Loss_D_real: -0.020949 Loss_D_fake 0.007432
[464/5000][230/535][47627] Loss_D: -0.028217 Loss_G: 0.008724 Loss_D_real: -0.021306 Loss_D_fake 0.006912
[464/5000][235/535][47628] Loss_D: -0.027752 Loss_G: 0.009594 Loss_D_real: -0.017630 Loss_D_fake 0.010122
[464/5000][240/535][47629] Loss_D: -0.026457 Loss_G: -0.008133 Loss_D_real: -0.006642 Loss_D_fake 0.019816
[464/5000][245/535][47630] Loss_D: -0.025079 Loss_G: 0.040534 Loss_D_real: -0.041092 Loss_D_fake -0.016013
[464/5000][250/535][47631] Loss_D: -0.027640 Loss_G: 0.001273 Loss_D_real: -0.006664 Loss_D_fake 0.020976
[464/5000][255/535][47632] Loss_D: -0.027211 Loss_G: 0.005414 Loss_D_real: -0.012219 Loss_D_fake 0.014992
[464/5000][260/535][47633] Loss_D: -0.027886 Loss_G: 0.004966 Loss_D_real: -0.007302 Loss_D_fake 0.020584
[464/5000][265/535][47634] Loss_D: -0.027503 Loss_G: 0.029480 Loss_D_real: -0.028262 Loss_D_fake -0.000759
[464/5000][270/535][47635] Loss_D: -0.026974 Loss_G: 0.015001 Loss_D_real: -0.010491 Loss_D_fake 0.016483
[464/5000][275/535][47636] Loss_D: -0.027707 Loss_G: -0.005791 Loss_D_real: -0.010699 Loss_D_fake 0.017008
[464/5000][280/535][47637] Loss_D: -0.028471 Loss_G: 0.039098 Loss_D_real: -0.028828 Loss_D_fake -0.000358
[464/5000][285/535][47638] Loss_D: -0.027286 Loss_G: -0.000258 Loss_D_real: -0.002005 Loss_D_fake 0.025281
[464/5000][290/535][47639] Loss_D: -0.026839 Loss_G: 0.012997 Loss_D_real: -0.014472 Loss_D_fake 0.012367
[464/5000][295/535][47640] Loss_D: -0.028316 Loss_G: 0.002003 Loss_D_real: -0.006255 Loss_D_fake 0.022061
[464/5000][300/535][47641] Loss_D: -0.027562 Loss_G: 0.022724 Loss_D_real: -0.016793 Loss_D_fake 0.010769
[464/5000][305/535][47642] Loss_D: -0.028703 Loss_G: 0.009198 Loss_D_real: -0.014899 Loss_D_fake 0.013804
[464/5000][310/535][47643] Loss_D: -0.027130 Loss_G: 0.034857 Loss_D_real: -0.031673 Loss_D_fake -0.004543
[464/5000][315/535][47644] Loss_D: -0.027129 Loss_G: -0.005547 Loss_D_real: -0.002748 Loss_D_fake 0.024381
[464/5000][320/535][47645] Loss_D: -0.026385 Loss_G: -0.003761 Loss_D_real: 0.002943 Loss_D_fake 0.029329
[464/5000][325/535][47646] Loss_D: -0.027272 Loss_G: 0.015027 Loss_D_real: -0.006329 Loss_D_fake 0.020942
[464/5000][330/535][47647] Loss_D: -0.027265 Loss_G: 0.008923 Loss_D_real: -0.014589 Loss_D_fake 0.012676
[464/5000][335/535][47648] Loss_D: -0.027057 Loss_G: 0.030090 Loss_D_real: -0.037141 Loss_D_fake -0.010085
[464/5000][340/535][47649] Loss_D: -0.028731 Loss_G: 0.022241 Loss_D_real: -0.020936 Loss_D_fake 0.007795
[464/5000][345/535][47650] Loss_D: -0.028100 Loss_G: 0.012461 Loss_D_real: -0.019331 Loss_D_fake 0.008769
[464/5000][350/535][47651] Loss_D: -0.027869 Loss_G: 0.005835 Loss_D_real: -0.026621 Loss_D_fake 0.001248
[464/5000][355/535][47652] Loss_D: -0.027047 Loss_G: 0.019795 Loss_D_real: -0.015755 Loss_D_fake 0.011292
[464/5000][360/535][47653] Loss_D: -0.026206 Loss_G: 0.001003 Loss_D_real: -0.005119 Loss_D_fake 0.021086
[464/5000][365/535][47654] Loss_D: -0.027583 Loss_G: 0.007644 Loss_D_real: -0.019370 Loss_D_fake 0.008213
[464/5000][370/535][47655] Loss_D: -0.025830 Loss_G: 0.042364 Loss_D_real: -0.036932 Loss_D_fake -0.011103
[464/5000][375/535][47656] Loss_D: -0.028161 Loss_G: 0.008595 Loss_D_real: -0.014559 Loss_D_fake 0.013602
[464/5000][380/535][47657] Loss_D: -0.026665 Loss_G: -0.010437 Loss_D_real: -0.002159 Loss_D_fake 0.024506
[464/5000][385/535][47658] Loss_D: -0.027399 Loss_G: 0.031414 Loss_D_real: -0.026690 Loss_D_fake 0.000709
[464/5000][390/535][47659] Loss_D: -0.027847 Loss_G: 0.003235 Loss_D_real: -0.012253 Loss_D_fake 0.015594
[464/5000][395/535][47660] Loss_D: -0.028225 Loss_G: 0.021129 Loss_D_real: -0.040555 Loss_D_fake -0.012330
[464/5000][400/535][47661] Loss_D: -0.028392 Loss_G: 0.025644 Loss_D_real: -0.034466 Loss_D_fake -0.006074
[464/5000][405/535][47662] Loss_D: -0.027530 Loss_G: 0.018641 Loss_D_real: -0.020046 Loss_D_fake 0.007484
[464/5000][410/535][47663] Loss_D: -0.027156 Loss_G: 0.019991 Loss_D_real: -0.012537 Loss_D_fake 0.014619
[464/5000][415/535][47664] Loss_D: -0.027277 Loss_G: 0.026929 Loss_D_real: -0.030979 Loss_D_fake -0.003702
[464/5000][420/535][47665] Loss_D: -0.028881 Loss_G: 0.009690 Loss_D_real: -0.004987 Loss_D_fake 0.023893
[464/5000][425/535][47666] Loss_D: -0.026962 Loss_G: 0.028815 Loss_D_real: -0.021358 Loss_D_fake 0.005604
[464/5000][430/535][47667] Loss_D: -0.028026 Loss_G: 0.004707 Loss_D_real: -0.013677 Loss_D_fake 0.014349
[464/5000][435/535][47668] Loss_D: -0.025564 Loss_G: 0.035459 Loss_D_real: -0.038006 Loss_D_fake -0.012443
[464/5000][440/535][47669] Loss_D: -0.027325 Loss_G: 0.003529 Loss_D_real: -0.009742 Loss_D_fake 0.017584
[464/5000][445/535][47670] Loss_D: -0.027652 Loss_G: 0.022696 Loss_D_real: -0.021425 Loss_D_fake 0.006227
[464/5000][450/535][47671] Loss_D: -0.029169 Loss_G: 0.015517 Loss_D_real: -0.023785 Loss_D_fake 0.005384
[464/5000][455/535][47672] Loss_D: -0.027588 Loss_G: 0.024294 Loss_D_real: -0.027723 Loss_D_fake -0.000135
[464/5000][460/535][47673] Loss_D: -0.026505 Loss_G: 0.008688 Loss_D_real: -0.020376 Loss_D_fake 0.006129
[464/5000][465/535][47674] Loss_D: -0.026324 Loss_G: 0.024965 Loss_D_real: -0.028538 Loss_D_fake -0.002213
[464/5000][470/535][47675] Loss_D: -0.028234 Loss_G: 0.004368 Loss_D_real: -0.011044 Loss_D_fake 0.017190
[464/5000][475/535][47676] Loss_D: -0.027009 Loss_G: 0.021558 Loss_D_real: -0.017937 Loss_D_fake 0.009072
[464/5000][480/535][47677] Loss_D: -0.027471 Loss_G: 0.029861 Loss_D_real: -0.032475 Loss_D_fake -0.005003
[464/5000][485/535][47678] Loss_D: -0.026687 Loss_G: 0.000751 Loss_D_real: -0.006438 Loss_D_fake 0.020249
[464/5000][490/535][47679] Loss_D: -0.026141 Loss_G: 0.002376 Loss_D_real: -0.009844 Loss_D_fake 0.016296
[464/5000][495/535][47680] Loss_D: -0.025804 Loss_G: 0.005180 Loss_D_real: -0.015577 Loss_D_fake 0.010227
[464/5000][500/535][47681] Loss_D: -0.027269 Loss_G: 0.031308 Loss_D_real: -0.026619 Loss_D_fake 0.000650
[464/5000][505/535][47682] Loss_D: -0.027293 Loss_G: 0.000704 Loss_D_real: -0.011514 Loss_D_fake 0.015778
[464/5000][510/535][47683] Loss_D: -0.026132 Loss_G: 0.000452 Loss_D_real: -0.006508 Loss_D_fake 0.019624
[464/5000][515/535][47684] Loss_D: -0.025894 Loss_G: 0.023883 Loss_D_real: -0.019680 Loss_D_fake 0.006213
[464/5000][520/535][47685] Loss_D: -0.026599 Loss_G: -0.013437 Loss_D_real: 0.001554 Loss_D_fake 0.028153
[464/5000][525/535][47686] Loss_D: -0.027167 Loss_G: -0.003030 Loss_D_real: -0.017523 Loss_D_fake 0.009644
[464/5000][530/535][47687] Loss_D: -0.026784 Loss_G: 0.029226 Loss_D_real: -0.021918 Loss_D_fake 0.004866
[464/5000][535/535][47688] Loss_D: -0.023142 Loss_G: 0.003411 Loss_D_real: 0.001780 Loss_D_fake 0.024922
[465/5000][5/535][47689] Loss_D: -0.026213 Loss_G: 0.025092 Loss_D_real: -0.025742 Loss_D_fake 0.000471
[465/5000][10/535][47690] Loss_D: -0.027579 Loss_G: 0.038201 Loss_D_real: -0.036590 Loss_D_fake -0.009012
[465/5000][15/535][47691] Loss_D: -0.027229 Loss_G: 0.018817 Loss_D_real: -0.013610 Loss_D_fake 0.013619
[465/5000][20/535][47692] Loss_D: -0.027376 Loss_G: -0.008411 Loss_D_real: -0.004041 Loss_D_fake 0.023335
[465/5000][25/535][47693] Loss_D: -0.026450 Loss_G: 0.009350 Loss_D_real: -0.008046 Loss_D_fake 0.018404
[465/5000][30/535][47694] Loss_D: -0.025860 Loss_G: 0.026131 Loss_D_real: -0.023744 Loss_D_fake 0.002116
[465/5000][35/535][47695] Loss_D: -0.027098 Loss_G: 0.030220 Loss_D_real: -0.030815 Loss_D_fake -0.003717
[465/5000][40/535][47696] Loss_D: -0.027411 Loss_G: 0.048146 Loss_D_real: -0.035283 Loss_D_fake -0.007872
[465/5000][45/535][47697] Loss_D: -0.026649 Loss_G: -0.014473 Loss_D_real: 0.006185 Loss_D_fake 0.032834
[465/5000][50/535][47698] Loss_D: -0.026478 Loss_G: 0.011320 Loss_D_real: -0.013547 Loss_D_fake 0.012932
[465/5000][55/535][47699] Loss_D: -0.027207 Loss_G: 0.010072 Loss_D_real: -0.016948 Loss_D_fake 0.010259
[465/5000][60/535][47700] Loss_D: -0.025929 Loss_G: 0.022192 Loss_D_real: -0.028947 Loss_D_fake -0.003017
[465/5000][65/535][47701] Loss_D: -0.025104 Loss_G: 0.027742 Loss_D_real: -0.026447 Loss_D_fake -0.001343
[465/5000][70/535][47702] Loss_D: -0.027758 Loss_G: 0.003022 Loss_D_real: 0.003751 Loss_D_fake 0.031509
[465/5000][75/535][47703] Loss_D: -0.025795 Loss_G: 0.006909 Loss_D_real: -0.017928 Loss_D_fake 0.007867
[465/5000][80/535][47704] Loss_D: -0.027621 Loss_G: 0.010012 Loss_D_real: -0.016851 Loss_D_fake 0.010770
[465/5000][85/535][47705] Loss_D: -0.024758 Loss_G: 0.034352 Loss_D_real: -0.030975 Loss_D_fake -0.006217
[465/5000][90/535][47706] Loss_D: -0.026551 Loss_G: 0.023414 Loss_D_real: -0.030572 Loss_D_fake -0.004021
[465/5000][95/535][47707] Loss_D: -0.028022 Loss_G: -0.005405 Loss_D_real: -0.003561 Loss_D_fake 0.024460
[465/5000][100/535][47708] Loss_D: -0.028468 Loss_G: 0.009509 Loss_D_real: -0.011123 Loss_D_fake 0.017345
[465/5000][105/535][47709] Loss_D: -0.027391 Loss_G: 0.007760 Loss_D_real: -0.016356 Loss_D_fake 0.011035
[465/5000][110/535][47710] Loss_D: -0.026604 Loss_G: 0.029990 Loss_D_real: -0.042471 Loss_D_fake -0.015867
[465/5000][115/535][47711] Loss_D: -0.027571 Loss_G: 0.010442 Loss_D_real: -0.021008 Loss_D_fake 0.006562
[465/5000][120/535][47712] Loss_D: -0.028510 Loss_G: 0.010004 Loss_D_real: -0.014547 Loss_D_fake 0.013963
[465/5000][125/535][47713] Loss_D: -0.028467 Loss_G: 0.013275 Loss_D_real: -0.022872 Loss_D_fake 0.005595
[465/5000][130/535][47714] Loss_D: -0.027062 Loss_G: 0.035723 Loss_D_real: -0.033867 Loss_D_fake -0.006805
[465/5000][135/535][47715] Loss_D: -0.026616 Loss_G: 0.000225 Loss_D_real: -0.005139 Loss_D_fake 0.021477
[465/5000][140/535][47716] Loss_D: -0.028700 Loss_G: 0.010802 Loss_D_real: -0.013303 Loss_D_fake 0.015396
[465/5000][145/535][47717] Loss_D: -0.028722 Loss_G: 0.042558 Loss_D_real: -0.034355 Loss_D_fake -0.005634
[465/5000][150/535][47718] Loss_D: -0.026631 Loss_G: 0.007988 Loss_D_real: -0.003736 Loss_D_fake 0.022895
[465/5000][155/535][47719] Loss_D: -0.028428 Loss_G: -0.012559 Loss_D_real: -0.008036 Loss_D_fake 0.020391
[465/5000][160/535][47720] Loss_D: -0.025944 Loss_G: 0.015205 Loss_D_real: -0.018360 Loss_D_fake 0.007584
[465/5000][165/535][47721] Loss_D: -0.026311 Loss_G: 0.026435 Loss_D_real: -0.028061 Loss_D_fake -0.001750
[465/5000][170/535][47722] Loss_D: -0.026953 Loss_G: 0.005760 Loss_D_real: -0.007926 Loss_D_fake 0.019027
[465/5000][175/535][47723] Loss_D: -0.026556 Loss_G: 0.020692 Loss_D_real: -0.017990 Loss_D_fake 0.008566
[465/5000][180/535][47724] Loss_D: -0.027340 Loss_G: 0.001643 Loss_D_real: -0.007550 Loss_D_fake 0.019790
[465/5000][185/535][47725] Loss_D: -0.026737 Loss_G: -0.000842 Loss_D_real: -0.008394 Loss_D_fake 0.018343
[465/5000][190/535][47726] Loss_D: -0.027750 Loss_G: 0.026135 Loss_D_real: -0.025934 Loss_D_fake 0.001815
[465/5000][195/535][47727] Loss_D: -0.028256 Loss_G: -0.001721 Loss_D_real: -0.002531 Loss_D_fake 0.025725
[465/5000][200/535][47728] Loss_D: -0.027355 Loss_G: 0.022174 Loss_D_real: -0.017079 Loss_D_fake 0.010276
[465/5000][205/535][47729] Loss_D: -0.026851 Loss_G: 0.023740 Loss_D_real: -0.022346 Loss_D_fake 0.004505
[465/5000][210/535][47730] Loss_D: -0.026807 Loss_G: 0.023121 Loss_D_real: -0.018234 Loss_D_fake 0.008573
[465/5000][215/535][47731] Loss_D: -0.026680 Loss_G: 0.011347 Loss_D_real: -0.010329 Loss_D_fake 0.016351
[465/5000][220/535][47732] Loss_D: -0.027363 Loss_G: 0.022654 Loss_D_real: -0.031198 Loss_D_fake -0.003835
[465/5000][225/535][47733] Loss_D: -0.027900 Loss_G: 0.004549 Loss_D_real: -0.017476 Loss_D_fake 0.010424
[465/5000][230/535][47734] Loss_D: -0.026106 Loss_G: 0.034444 Loss_D_real: -0.036068 Loss_D_fake -0.009962
[465/5000][235/535][47735] Loss_D: -0.028677 Loss_G: -0.000113 Loss_D_real: -0.008786 Loss_D_fake 0.019891
[465/5000][240/535][47736] Loss_D: -0.026282 Loss_G: 0.032983 Loss_D_real: -0.027453 Loss_D_fake -0.001171
[465/5000][245/535][47737] Loss_D: -0.027182 Loss_G: 0.019211 Loss_D_real: -0.013383 Loss_D_fake 0.013799
[465/5000][250/535][47738] Loss_D: -0.027071 Loss_G: -0.008262 Loss_D_real: -0.008796 Loss_D_fake 0.018276
[465/5000][255/535][47739] Loss_D: -0.026509 Loss_G: 0.020979 Loss_D_real: -0.021791 Loss_D_fake 0.004719
[465/5000][260/535][47740] Loss_D: -0.028769 Loss_G: -0.001330 Loss_D_real: -0.003444 Loss_D_fake 0.025325
[465/5000][265/535][47741] Loss_D: -0.026828 Loss_G: 0.020891 Loss_D_real: -0.019201 Loss_D_fake 0.007627
[465/5000][270/535][47742] Loss_D: -0.026446 Loss_G: 0.003427 Loss_D_real: -0.007158 Loss_D_fake 0.019288
[465/5000][275/535][47743] Loss_D: -0.026177 Loss_G: -0.001506 Loss_D_real: -0.010761 Loss_D_fake 0.015416
[465/5000][280/535][47744] Loss_D: -0.027246 Loss_G: 0.034578 Loss_D_real: -0.023967 Loss_D_fake 0.003279
[465/5000][285/535][47745] Loss_D: -0.027880 Loss_G: 0.002921 Loss_D_real: -0.011975 Loss_D_fake 0.015905
[465/5000][290/535][47746] Loss_D: -0.027051 Loss_G: 0.017923 Loss_D_real: -0.021726 Loss_D_fake 0.005325
[465/5000][295/535][47747] Loss_D: -0.028032 Loss_G: 0.006389 Loss_D_real: -0.013841 Loss_D_fake 0.014190
[465/5000][300/535][47748] Loss_D: -0.026728 Loss_G: 0.014732 Loss_D_real: -0.015219 Loss_D_fake 0.011509
[465/5000][305/535][47749] Loss_D: -0.027557 Loss_G: 0.004300 Loss_D_real: -0.008855 Loss_D_fake 0.018702
[465/5000][310/535][47750] Loss_D: -0.026768 Loss_G: 0.035161 Loss_D_real: -0.032128 Loss_D_fake -0.005360
[465/5000][315/535][47751] Loss_D: -0.026295 Loss_G: -0.002878 Loss_D_real: 0.001425 Loss_D_fake 0.027720
[465/5000][320/535][47752] Loss_D: -0.026169 Loss_G: 0.028526 Loss_D_real: -0.023104 Loss_D_fake 0.003066
[465/5000][325/535][47753] Loss_D: -0.028170 Loss_G: 0.010291 Loss_D_real: -0.013181 Loss_D_fake 0.014989
[465/5000][330/535][47754] Loss_D: -0.028036 Loss_G: 0.041502 Loss_D_real: -0.028130 Loss_D_fake -0.000094
[465/5000][335/535][47755] Loss_D: -0.028206 Loss_G: 0.017945 Loss_D_real: -0.005399 Loss_D_fake 0.022807
[465/5000][340/535][47756] Loss_D: -0.029059 Loss_G: 0.021029 Loss_D_real: -0.017244 Loss_D_fake 0.011815
[465/5000][345/535][47757] Loss_D: -0.028340 Loss_G: 0.028035 Loss_D_real: -0.028794 Loss_D_fake -0.000455
[465/5000][350/535][47758] Loss_D: -0.025913 Loss_G: -0.005832 Loss_D_real: -0.000879 Loss_D_fake 0.025034
[465/5000][355/535][47759] Loss_D: -0.025878 Loss_G: 0.013131 Loss_D_real: -0.013825 Loss_D_fake 0.012053
[465/5000][360/535][47760] Loss_D: -0.028055 Loss_G: 0.003604 Loss_D_real: -0.012713 Loss_D_fake 0.015341
[465/5000][365/535][47761] Loss_D: -0.028376 Loss_G: 0.011855 Loss_D_real: -0.014999 Loss_D_fake 0.013377
[465/5000][370/535][47762] Loss_D: -0.027375 Loss_G: 0.022890 Loss_D_real: -0.019188 Loss_D_fake 0.008187
[465/5000][375/535][47763] Loss_D: -0.027292 Loss_G: -0.000840 Loss_D_real: -0.005979 Loss_D_fake 0.021313
[465/5000][380/535][47764] Loss_D: -0.026357 Loss_G: 0.010914 Loss_D_real: -0.019617 Loss_D_fake 0.006740
[465/5000][385/535][47765] Loss_D: -0.026645 Loss_G: 0.013305 Loss_D_real: -0.011608 Loss_D_fake 0.015037
[465/5000][390/535][47766] Loss_D: -0.026519 Loss_G: -0.003778 Loss_D_real: -0.006378 Loss_D_fake 0.020142
[465/5000][395/535][47767] Loss_D: -0.028164 Loss_G: 0.020903 Loss_D_real: -0.022107 Loss_D_fake 0.006057
[465/5000][400/535][47768] Loss_D: -0.028534 Loss_G: 0.008405 Loss_D_real: -0.011939 Loss_D_fake 0.016595
[465/5000][405/535][47769] Loss_D: -0.028864 Loss_G: 0.024676 Loss_D_real: -0.023706 Loss_D_fake 0.005157
[465/5000][410/535][47770] Loss_D: -0.028072 Loss_G: 0.031318 Loss_D_real: -0.029397 Loss_D_fake -0.001325
[465/5000][415/535][47771] Loss_D: -0.025513 Loss_G: -0.012011 Loss_D_real: 0.011401 Loss_D_fake 0.036914
[465/5000][420/535][47772] Loss_D: -0.027375 Loss_G: 0.023173 Loss_D_real: -0.021147 Loss_D_fake 0.006228
[465/5000][425/535][47773] Loss_D: -0.026996 Loss_G: 0.030388 Loss_D_real: -0.030717 Loss_D_fake -0.003720
[465/5000][430/535][47774] Loss_D: -0.027872 Loss_G: 0.020892 Loss_D_real: -0.012660 Loss_D_fake 0.015212
[465/5000][435/535][47775] Loss_D: -0.027452 Loss_G: 0.018948 Loss_D_real: -0.020959 Loss_D_fake 0.006493
[465/5000][440/535][47776] Loss_D: -0.028817 Loss_G: 0.005873 Loss_D_real: -0.015388 Loss_D_fake 0.013429
[465/5000][445/535][47777] Loss_D: -0.027072 Loss_G: 0.013640 Loss_D_real: -0.023551 Loss_D_fake 0.003521
[465/5000][450/535][47778] Loss_D: -0.028054 Loss_G: 0.033378 Loss_D_real: -0.032402 Loss_D_fake -0.004348
[465/5000][455/535][47779] Loss_D: -0.028727 Loss_G: 0.007668 Loss_D_real: -0.016709 Loss_D_fake 0.012017
[465/5000][460/535][47780] Loss_D: -0.026370 Loss_G: 0.027985 Loss_D_real: -0.029191 Loss_D_fake -0.002821
[465/5000][465/535][47781] Loss_D: -0.026775 Loss_G: 0.011908 Loss_D_real: -0.005650 Loss_D_fake 0.021126
[465/5000][470/535][47782] Loss_D: -0.028342 Loss_G: 0.017122 Loss_D_real: -0.017620 Loss_D_fake 0.010721
[465/5000][475/535][47783] Loss_D: -0.027257 Loss_G: 0.006477 Loss_D_real: -0.017268 Loss_D_fake 0.009989
[465/5000][480/535][47784] Loss_D: -0.027663 Loss_G: 0.020398 Loss_D_real: -0.027713 Loss_D_fake -0.000050
[465/5000][485/535][47785] Loss_D: -0.027587 Loss_G: 0.010157 Loss_D_real: -0.023503 Loss_D_fake 0.004085
[465/5000][490/535][47786] Loss_D: -0.026652 Loss_G: 0.028117 Loss_D_real: -0.023241 Loss_D_fake 0.003411
[465/5000][495/535][47787] Loss_D: -0.026095 Loss_G: -0.007142 Loss_D_real: -0.002921 Loss_D_fake 0.023173
[465/5000][500/535][47788] Loss_D: -0.025121 Loss_G: 0.031184 Loss_D_real: -0.025906 Loss_D_fake -0.000785
[465/5000][505/535][47789] Loss_D: -0.026486 Loss_G: 0.025996 Loss_D_real: -0.029099 Loss_D_fake -0.002613
[465/5000][510/535][47790] Loss_D: -0.027681 Loss_G: 0.023336 Loss_D_real: -0.028181 Loss_D_fake -0.000501
[465/5000][515/535][47791] Loss_D: -0.028209 Loss_G: -0.005926 Loss_D_real: -0.006417 Loss_D_fake 0.021791
[465/5000][520/535][47792] Loss_D: -0.027100 Loss_G: 0.007890 Loss_D_real: -0.013327 Loss_D_fake 0.013772
[465/5000][525/535][47793] Loss_D: -0.027491 Loss_G: 0.025316 Loss_D_real: -0.020989 Loss_D_fake 0.006503
[465/5000][530/535][47794] Loss_D: -0.024712 Loss_G: 0.035822 Loss_D_real: -0.027977 Loss_D_fake -0.003264
[465/5000][535/535][47795] Loss_D: -0.026201 Loss_G: -0.006597 Loss_D_real: -0.009001 Loss_D_fake 0.017199
[466/5000][5/535][47796] Loss_D: -0.027460 Loss_G: 0.020254 Loss_D_real: -0.019296 Loss_D_fake 0.008164
[466/5000][10/535][47797] Loss_D: -0.026867 Loss_G: -0.006399 Loss_D_real: -0.005074 Loss_D_fake 0.021793
[466/5000][15/535][47798] Loss_D: -0.027458 Loss_G: 0.028951 Loss_D_real: -0.024540 Loss_D_fake 0.002918
[466/5000][20/535][47799] Loss_D: -0.028089 Loss_G: -0.002362 Loss_D_real: -0.003348 Loss_D_fake 0.024741
[466/5000][25/535][47800] Loss_D: -0.024996 Loss_G: 0.033046 Loss_D_real: -0.031157 Loss_D_fake -0.006161
[466/5000][30/535][47801] Loss_D: -0.027993 Loss_G: 0.004285 Loss_D_real: -0.007657 Loss_D_fake 0.020336
[466/5000][35/535][47802] Loss_D: -0.027069 Loss_G: 0.005484 Loss_D_real: -0.015003 Loss_D_fake 0.012066
[466/5000][40/535][47803] Loss_D: -0.026621 Loss_G: 0.017368 Loss_D_real: -0.017181 Loss_D_fake 0.009440
[466/5000][45/535][47804] Loss_D: -0.028051 Loss_G: -0.000814 Loss_D_real: -0.014433 Loss_D_fake 0.013618
[466/5000][50/535][47805] Loss_D: -0.027024 Loss_G: 0.028591 Loss_D_real: -0.018994 Loss_D_fake 0.008030
[466/5000][55/535][47806] Loss_D: -0.025826 Loss_G: 0.012733 Loss_D_real: -0.020398 Loss_D_fake 0.005427
[466/5000][60/535][47807] Loss_D: -0.025812 Loss_G: 0.007499 Loss_D_real: 0.000636 Loss_D_fake 0.026448
[466/5000][65/535][47808] Loss_D: -0.026879 Loss_G: -0.001508 Loss_D_real: -0.010842 Loss_D_fake 0.016037
[466/5000][70/535][47809] Loss_D: -0.027373 Loss_G: 0.033723 Loss_D_real: -0.018747 Loss_D_fake 0.008627
[466/5000][75/535][47810] Loss_D: -0.026740 Loss_G: -0.012806 Loss_D_real: -0.001418 Loss_D_fake 0.025322
[466/5000][80/535][47811] Loss_D: -0.026790 Loss_G: 0.017275 Loss_D_real: -0.022499 Loss_D_fake 0.004291
[466/5000][85/535][47812] Loss_D: -0.024950 Loss_G: 0.024333 Loss_D_real: -0.011052 Loss_D_fake 0.013898
[466/5000][90/535][47813] Loss_D: -0.025681 Loss_G: -0.018691 Loss_D_real: 0.000614 Loss_D_fake 0.026295
[466/5000][95/535][47814] Loss_D: -0.025748 Loss_G: 0.035590 Loss_D_real: -0.034326 Loss_D_fake -0.008578
[466/5000][100/535][47815] Loss_D: -0.027611 Loss_G: 0.010982 Loss_D_real: -0.008506 Loss_D_fake 0.019105
[466/5000][105/535][47816] Loss_D: -0.027482 Loss_G: 0.013540 Loss_D_real: -0.018325 Loss_D_fake 0.009157
[466/5000][110/535][47817] Loss_D: -0.026448 Loss_G: 0.029280 Loss_D_real: -0.038200 Loss_D_fake -0.011752
[466/5000][115/535][47818] Loss_D: -0.028328 Loss_G: 0.002042 Loss_D_real: -0.017983 Loss_D_fake 0.010344
[466/5000][120/535][47819] Loss_D: -0.027731 Loss_G: 0.009872 Loss_D_real: -0.020421 Loss_D_fake 0.007310
[466/5000][125/535][47820] Loss_D: -0.028443 Loss_G: 0.030819 Loss_D_real: -0.027353 Loss_D_fake 0.001090
[466/5000][130/535][47821] Loss_D: -0.027805 Loss_G: 0.022254 Loss_D_real: -0.013725 Loss_D_fake 0.014080
[466/5000][135/535][47822] Loss_D: -0.026971 Loss_G: 0.018364 Loss_D_real: -0.015330 Loss_D_fake 0.011641
[466/5000][140/535][47823] Loss_D: -0.028267 Loss_G: 0.030684 Loss_D_real: -0.024428 Loss_D_fake 0.003839
[466/5000][145/535][47824] Loss_D: -0.026948 Loss_G: -0.005844 Loss_D_real: -0.005918 Loss_D_fake 0.021030
[466/5000][150/535][47825] Loss_D: -0.025898 Loss_G: 0.033276 Loss_D_real: -0.039282 Loss_D_fake -0.013384
[466/5000][155/535][47826] Loss_D: -0.027700 Loss_G: 0.004669 Loss_D_real: -0.018571 Loss_D_fake 0.009129
[466/5000][160/535][47827] Loss_D: -0.026648 Loss_G: 0.020875 Loss_D_real: -0.023221 Loss_D_fake 0.003428
[466/5000][165/535][47828] Loss_D: -0.026402 Loss_G: -0.020112 Loss_D_real: 0.001224 Loss_D_fake 0.027627
[466/5000][170/535][47829] Loss_D: -0.028120 Loss_G: 0.011181 Loss_D_real: -0.026293 Loss_D_fake 0.001827
[466/5000][175/535][47830] Loss_D: -0.027011 Loss_G: 0.035971 Loss_D_real: -0.028725 Loss_D_fake -0.001714
[466/5000][180/535][47831] Loss_D: -0.027147 Loss_G: 0.006206 Loss_D_real: 0.000515 Loss_D_fake 0.027662
[466/5000][185/535][47832] Loss_D: -0.026512 Loss_G: 0.005267 Loss_D_real: -0.012684 Loss_D_fake 0.013828
[466/5000][190/535][47833] Loss_D: -0.028192 Loss_G: 0.023505 Loss_D_real: -0.026275 Loss_D_fake 0.001917
[466/5000][195/535][47834] Loss_D: -0.025919 Loss_G: -0.018388 Loss_D_real: 0.002007 Loss_D_fake 0.027926
[466/5000][200/535][47835] Loss_D: -0.025815 Loss_G: 0.015351 Loss_D_real: -0.021643 Loss_D_fake 0.004172
[466/5000][205/535][47836] Loss_D: -0.028374 Loss_G: 0.013884 Loss_D_real: -0.018373 Loss_D_fake 0.010002
[466/5000][210/535][47837] Loss_D: -0.026613 Loss_G: 0.023981 Loss_D_real: -0.026171 Loss_D_fake 0.000442
[466/5000][215/535][47838] Loss_D: -0.027376 Loss_G: 0.011566 Loss_D_real: -0.016963 Loss_D_fake 0.010413
[466/5000][220/535][47839] Loss_D: -0.029521 Loss_G: -0.000369 Loss_D_real: -0.008978 Loss_D_fake 0.020543
[466/5000][225/535][47840] Loss_D: -0.026912 Loss_G: 0.009299 Loss_D_real: -0.016268 Loss_D_fake 0.010644
[466/5000][230/535][47841] Loss_D: -0.030029 Loss_G: 0.004406 Loss_D_real: -0.011016 Loss_D_fake 0.019014
[466/5000][235/535][47842] Loss_D: -0.028875 Loss_G: 0.017106 Loss_D_real: -0.013616 Loss_D_fake 0.015259
[466/5000][240/535][47843] Loss_D: -0.029110 Loss_G: 0.024491 Loss_D_real: -0.013582 Loss_D_fake 0.015528
[466/5000][245/535][47844] Loss_D: -0.028206 Loss_G: 0.019843 Loss_D_real: -0.023468 Loss_D_fake 0.004738
[466/5000][250/535][47845] Loss_D: -0.028612 Loss_G: 0.005536 Loss_D_real: -0.012469 Loss_D_fake 0.016143
[466/5000][255/535][47846] Loss_D: -0.026595 Loss_G: 0.015265 Loss_D_real: -0.027124 Loss_D_fake -0.000529
[466/5000][260/535][47847] Loss_D: -0.028370 Loss_G: 0.000505 Loss_D_real: -0.006555 Loss_D_fake 0.021815
[466/5000][265/535][47848] Loss_D: -0.027568 Loss_G: 0.021250 Loss_D_real: -0.027102 Loss_D_fake 0.000465
[466/5000][270/535][47849] Loss_D: -0.028605 Loss_G: 0.028775 Loss_D_real: -0.019221 Loss_D_fake 0.009384
[466/5000][275/535][47850] Loss_D: -0.027420 Loss_G: 0.012479 Loss_D_real: -0.012083 Loss_D_fake 0.015337
[466/5000][280/535][47851] Loss_D: -0.027291 Loss_G: -0.019112 Loss_D_real: -0.006291 Loss_D_fake 0.021001
[466/5000][285/535][47852] Loss_D: -0.027163 Loss_G: -0.006773 Loss_D_real: -0.012539 Loss_D_fake 0.014624
[466/5000][290/535][47853] Loss_D: -0.026085 Loss_G: 0.015453 Loss_D_real: -0.009779 Loss_D_fake 0.016306
[466/5000][295/535][47854] Loss_D: -0.026406 Loss_G: 0.019097 Loss_D_real: -0.028628 Loss_D_fake -0.002222
[466/5000][300/535][47855] Loss_D: -0.026508 Loss_G: 0.035661 Loss_D_real: -0.029199 Loss_D_fake -0.002691
[466/5000][305/535][47856] Loss_D: -0.026206 Loss_G: -0.003538 Loss_D_real: 0.001418 Loss_D_fake 0.027624
[466/5000][310/535][47857] Loss_D: -0.025687 Loss_G: 0.027152 Loss_D_real: -0.028318 Loss_D_fake -0.002630
[466/5000][315/535][47858] Loss_D: -0.026787 Loss_G: 0.022586 Loss_D_real: -0.023884 Loss_D_fake 0.002903
[466/5000][320/535][47859] Loss_D: -0.028396 Loss_G: 0.030905 Loss_D_real: -0.029432 Loss_D_fake -0.001036
[466/5000][325/535][47860] Loss_D: -0.026982 Loss_G: -0.009829 Loss_D_real: -0.005028 Loss_D_fake 0.021953
[466/5000][330/535][47861] Loss_D: -0.026194 Loss_G: 0.016352 Loss_D_real: -0.010065 Loss_D_fake 0.016128
[466/5000][335/535][47862] Loss_D: -0.027503 Loss_G: 0.028510 Loss_D_real: -0.027585 Loss_D_fake -0.000082
[466/5000][340/535][47863] Loss_D: -0.027251 Loss_G: 0.030449 Loss_D_real: -0.031171 Loss_D_fake -0.003919
[466/5000][345/535][47864] Loss_D: -0.026832 Loss_G: 0.014835 Loss_D_real: -0.015726 Loss_D_fake 0.011106
[466/5000][350/535][47865] Loss_D: -0.028011 Loss_G: 0.021256 Loss_D_real: -0.018534 Loss_D_fake 0.009478
[466/5000][355/535][47866] Loss_D: -0.026454 Loss_G: 0.041955 Loss_D_real: -0.037114 Loss_D_fake -0.010660
[466/5000][360/535][47867] Loss_D: -0.027394 Loss_G: 0.014625 Loss_D_real: -0.007998 Loss_D_fake 0.019396
[466/5000][365/535][47868] Loss_D: -0.027334 Loss_G: -0.011767 Loss_D_real: -0.006149 Loss_D_fake 0.021185
[466/5000][370/535][47869] Loss_D: -0.025634 Loss_G: 0.001020 Loss_D_real: -0.015613 Loss_D_fake 0.010021
[466/5000][375/535][47870] Loss_D: -0.027166 Loss_G: 0.015305 Loss_D_real: -0.015111 Loss_D_fake 0.012055
[466/5000][380/535][47871] Loss_D: -0.028641 Loss_G: 0.005406 Loss_D_real: -0.009596 Loss_D_fake 0.019045
[466/5000][385/535][47872] Loss_D: -0.027355 Loss_G: 0.033350 Loss_D_real: -0.026241 Loss_D_fake 0.001114
[466/5000][390/535][47873] Loss_D: -0.027959 Loss_G: 0.014148 Loss_D_real: -0.015034 Loss_D_fake 0.012925
[466/5000][395/535][47874] Loss_D: -0.027410 Loss_G: 0.032559 Loss_D_real: -0.035384 Loss_D_fake -0.007974
[466/5000][400/535][47875] Loss_D: -0.025970 Loss_G: 0.003464 Loss_D_real: -0.009517 Loss_D_fake 0.016454
[466/5000][405/535][47876] Loss_D: -0.026034 Loss_G: -0.004532 Loss_D_real: -0.015116 Loss_D_fake 0.010918
[466/5000][410/535][47877] Loss_D: -0.026536 Loss_G: 0.007213 Loss_D_real: -0.020761 Loss_D_fake 0.005775
[466/5000][415/535][47878] Loss_D: -0.027241 Loss_G: 0.019225 Loss_D_real: -0.019154 Loss_D_fake 0.008087
[466/5000][420/535][47879] Loss_D: -0.027792 Loss_G: 0.014913 Loss_D_real: -0.014058 Loss_D_fake 0.013733
[466/5000][425/535][47880] Loss_D: -0.026959 Loss_G: -0.005486 Loss_D_real: -0.007150 Loss_D_fake 0.019809
[466/5000][430/535][47881] Loss_D: -0.026800 Loss_G: 0.012006 Loss_D_real: -0.023793 Loss_D_fake 0.003007
[466/5000][435/535][47882] Loss_D: -0.027569 Loss_G: 0.033092 Loss_D_real: -0.031196 Loss_D_fake -0.003627
[466/5000][440/535][47883] Loss_D: -0.027823 Loss_G: -0.012481 Loss_D_real: -0.005095 Loss_D_fake 0.022727
[466/5000][445/535][47884] Loss_D: -0.025805 Loss_G: 0.014141 Loss_D_real: -0.021126 Loss_D_fake 0.004679
[466/5000][450/535][47885] Loss_D: -0.027283 Loss_G: 0.018757 Loss_D_real: -0.022131 Loss_D_fake 0.005151
[466/5000][455/535][47886] Loss_D: -0.027135 Loss_G: 0.012859 Loss_D_real: -0.016910 Loss_D_fake 0.010225
[466/5000][460/535][47887] Loss_D: -0.027871 Loss_G: 0.025876 Loss_D_real: -0.023752 Loss_D_fake 0.004118
[466/5000][465/535][47888] Loss_D: -0.028076 Loss_G: 0.021621 Loss_D_real: -0.019563 Loss_D_fake 0.008513
[466/5000][470/535][47889] Loss_D: -0.028774 Loss_G: 0.019851 Loss_D_real: -0.028115 Loss_D_fake 0.000659
[466/5000][475/535][47890] Loss_D: -0.027387 Loss_G: 0.022067 Loss_D_real: -0.015717 Loss_D_fake 0.011669
[466/5000][480/535][47891] Loss_D: -0.028278 Loss_G: 0.018378 Loss_D_real: -0.031607 Loss_D_fake -0.003328
[466/5000][485/535][47892] Loss_D: -0.026151 Loss_G: 0.003254 Loss_D_real: -0.010760 Loss_D_fake 0.015392
[466/5000][490/535][47893] Loss_D: -0.028254 Loss_G: 0.016701 Loss_D_real: -0.014561 Loss_D_fake 0.013692
[466/5000][495/535][47894] Loss_D: -0.027282 Loss_G: 0.008413 Loss_D_real: -0.010214 Loss_D_fake 0.017068
[466/5000][500/535][47895] Loss_D: -0.027186 Loss_G: 0.018077 Loss_D_real: -0.024451 Loss_D_fake 0.002735
[466/5000][505/535][47896] Loss_D: -0.028100 Loss_G: -0.008275 Loss_D_real: -0.010140 Loss_D_fake 0.017960
[466/5000][510/535][47897] Loss_D: -0.026844 Loss_G: 0.036524 Loss_D_real: -0.035003 Loss_D_fake -0.008158
[466/5000][515/535][47898] Loss_D: -0.027918 Loss_G: 0.026381 Loss_D_real: -0.013351 Loss_D_fake 0.014567
[466/5000][520/535][47899] Loss_D: -0.027699 Loss_G: 0.023886 Loss_D_real: -0.016736 Loss_D_fake 0.010963
[466/5000][525/535][47900] Loss_D: -0.026244 Loss_G: 0.011167 Loss_D_real: -0.014519 Loss_D_fake 0.011725
[466/5000][530/535][47901] Loss_D: -0.027065 Loss_G: 0.012923 Loss_D_real: -0.018409 Loss_D_fake 0.008656
[466/5000][535/535][47902] Loss_D: -0.026865 Loss_G: -0.002657 Loss_D_real: -0.021867 Loss_D_fake 0.004998
[467/5000][5/535][47903] Loss_D: -0.027434 Loss_G: 0.015121 Loss_D_real: -0.019442 Loss_D_fake 0.007991
[467/5000][10/535][47904] Loss_D: -0.026949 Loss_G: 0.016769 Loss_D_real: -0.019096 Loss_D_fake 0.007853
[467/5000][15/535][47905] Loss_D: -0.026182 Loss_G: 0.012206 Loss_D_real: -0.008634 Loss_D_fake 0.017547
[467/5000][20/535][47906] Loss_D: -0.029109 Loss_G: 0.017153 Loss_D_real: -0.020767 Loss_D_fake 0.008342
[467/5000][25/535][47907] Loss_D: -0.028059 Loss_G: 0.019272 Loss_D_real: -0.018822 Loss_D_fake 0.009238
[467/5000][30/535][47908] Loss_D: -0.026512 Loss_G: 0.008924 Loss_D_real: -0.007494 Loss_D_fake 0.019019
[467/5000][35/535][47909] Loss_D: -0.026070 Loss_G: -0.012189 Loss_D_real: -0.002741 Loss_D_fake 0.023329
[467/5000][40/535][47910] Loss_D: -0.027286 Loss_G: 0.015646 Loss_D_real: -0.009364 Loss_D_fake 0.017922
[467/5000][45/535][47911] Loss_D: -0.025364 Loss_G: 0.039850 Loss_D_real: -0.035505 Loss_D_fake -0.010142
[467/5000][50/535][47912] Loss_D: -0.026080 Loss_G: -0.013615 Loss_D_real: 0.002406 Loss_D_fake 0.028486
[467/5000][55/535][47913] Loss_D: -0.025296 Loss_G: 0.030896 Loss_D_real: -0.033282 Loss_D_fake -0.007985
[467/5000][60/535][47914] Loss_D: -0.027552 Loss_G: -0.001315 Loss_D_real: -0.003369 Loss_D_fake 0.024183
[467/5000][65/535][47915] Loss_D: -0.025747 Loss_G: 0.027747 Loss_D_real: -0.034913 Loss_D_fake -0.009167
[467/5000][70/535][47916] Loss_D: -0.024397 Loss_G: 0.023689 Loss_D_real: -0.025283 Loss_D_fake -0.000886
[467/5000][75/535][47917] Loss_D: -0.025841 Loss_G: -0.011517 Loss_D_real: 0.010028 Loss_D_fake 0.035869
[467/5000][80/535][47918] Loss_D: -0.025637 Loss_G: 0.010196 Loss_D_real: -0.021375 Loss_D_fake 0.004262
[467/5000][85/535][47919] Loss_D: -0.027069 Loss_G: 0.017791 Loss_D_real: -0.022891 Loss_D_fake 0.004179
[467/5000][90/535][47920] Loss_D: -0.028222 Loss_G: 0.019835 Loss_D_real: -0.015817 Loss_D_fake 0.012405
[467/5000][95/535][47921] Loss_D: -0.028152 Loss_G: 0.013985 Loss_D_real: -0.018475 Loss_D_fake 0.009677
[467/5000][100/535][47922] Loss_D: -0.027590 Loss_G: -0.010253 Loss_D_real: -0.001338 Loss_D_fake 0.026253
[467/5000][105/535][47923] Loss_D: -0.025863 Loss_G: 0.027065 Loss_D_real: -0.025142 Loss_D_fake 0.000722
[467/5000][110/535][47924] Loss_D: -0.027549 Loss_G: 0.018122 Loss_D_real: -0.017862 Loss_D_fake 0.009687
[467/5000][115/535][47925] Loss_D: -0.026861 Loss_G: -0.006612 Loss_D_real: -0.005117 Loss_D_fake 0.021744
[467/5000][120/535][47926] Loss_D: -0.026160 Loss_G: 0.023366 Loss_D_real: -0.032476 Loss_D_fake -0.006316
[467/5000][125/535][47927] Loss_D: -0.028372 Loss_G: 0.006274 Loss_D_real: -0.017000 Loss_D_fake 0.011372
[467/5000][130/535][47928] Loss_D: -0.027140 Loss_G: 0.009759 Loss_D_real: -0.018409 Loss_D_fake 0.008730
[467/5000][135/535][47929] Loss_D: -0.027705 Loss_G: 0.018288 Loss_D_real: -0.027188 Loss_D_fake 0.000517
[467/5000][140/535][47930] Loss_D: -0.026715 Loss_G: 0.033925 Loss_D_real: -0.041044 Loss_D_fake -0.014329
[467/5000][145/535][47931] Loss_D: -0.027178 Loss_G: -0.005239 Loss_D_real: -0.003608 Loss_D_fake 0.023570
[467/5000][150/535][47932] Loss_D: -0.026866 Loss_G: 0.015942 Loss_D_real: -0.022552 Loss_D_fake 0.004313
[467/5000][155/535][47933] Loss_D: -0.027562 Loss_G: 0.005487 Loss_D_real: -0.009306 Loss_D_fake 0.018256
[467/5000][160/535][47934] Loss_D: -0.026296 Loss_G: 0.024379 Loss_D_real: -0.018811 Loss_D_fake 0.007485
[467/5000][165/535][47935] Loss_D: -0.027511 Loss_G: 0.013463 Loss_D_real: -0.017798 Loss_D_fake 0.009713
[467/5000][170/535][47936] Loss_D: -0.027736 Loss_G: 0.011919 Loss_D_real: -0.013902 Loss_D_fake 0.013834
[467/5000][175/535][47937] Loss_D: -0.026687 Loss_G: 0.033813 Loss_D_real: -0.020465 Loss_D_fake 0.006221
[467/5000][180/535][47938] Loss_D: -0.027024 Loss_G: -0.012922 Loss_D_real: 0.000001 Loss_D_fake 0.027024
[467/5000][185/535][47939] Loss_D: -0.026946 Loss_G: 0.020900 Loss_D_real: -0.015855 Loss_D_fake 0.011092
[467/5000][190/535][47940] Loss_D: -0.027282 Loss_G: 0.016445 Loss_D_real: -0.025905 Loss_D_fake 0.001377
[467/5000][195/535][47941] Loss_D: -0.026538 Loss_G: 0.010713 Loss_D_real: -0.019617 Loss_D_fake 0.006920
[467/5000][200/535][47942] Loss_D: -0.026924 Loss_G: 0.032881 Loss_D_real: -0.039782 Loss_D_fake -0.012859
[467/5000][205/535][47943] Loss_D: -0.027450 Loss_G: 0.011191 Loss_D_real: -0.012605 Loss_D_fake 0.014846
[467/5000][210/535][47944] Loss_D: -0.027317 Loss_G: 0.007272 Loss_D_real: -0.012808 Loss_D_fake 0.014509
[467/5000][215/535][47945] Loss_D: -0.027973 Loss_G: 0.003892 Loss_D_real: -0.010594 Loss_D_fake 0.017379
[467/5000][220/535][47946] Loss_D: -0.027465 Loss_G: 0.024217 Loss_D_real: -0.025644 Loss_D_fake 0.001821
[467/5000][225/535][47947] Loss_D: -0.026594 Loss_G: -0.000577 Loss_D_real: 0.002696 Loss_D_fake 0.029290
[467/5000][230/535][47948] Loss_D: -0.027362 Loss_G: 0.006740 Loss_D_real: -0.003757 Loss_D_fake 0.023604
[467/5000][235/535][47949] Loss_D: -0.027662 Loss_G: 0.005197 Loss_D_real: -0.011116 Loss_D_fake 0.016547
[467/5000][240/535][47950] Loss_D: -0.027057 Loss_G: 0.008269 Loss_D_real: -0.011255 Loss_D_fake 0.015802
[467/5000][245/535][47951] Loss_D: -0.027027 Loss_G: 0.011329 Loss_D_real: -0.024511 Loss_D_fake 0.002516
[467/5000][250/535][47952] Loss_D: -0.028588 Loss_G: 0.022040 Loss_D_real: -0.017034 Loss_D_fake 0.011554
[467/5000][255/535][47953] Loss_D: -0.026293 Loss_G: -0.010806 Loss_D_real: 0.004532 Loss_D_fake 0.030825
[467/5000][260/535][47954] Loss_D: -0.027183 Loss_G: 0.026856 Loss_D_real: -0.034025 Loss_D_fake -0.006842
[467/5000][265/535][47955] Loss_D: -0.026846 Loss_G: 0.006122 Loss_D_real: -0.012140 Loss_D_fake 0.014706
[467/5000][270/535][47956] Loss_D: -0.028111 Loss_G: 0.012841 Loss_D_real: -0.014678 Loss_D_fake 0.013433
[467/5000][275/535][47957] Loss_D: -0.027607 Loss_G: 0.016649 Loss_D_real: -0.022543 Loss_D_fake 0.005064
[467/5000][280/535][47958] Loss_D: -0.028012 Loss_G: 0.004594 Loss_D_real: 0.002968 Loss_D_fake 0.030981
[467/5000][285/535][47959] Loss_D: -0.027460 Loss_G: 0.020405 Loss_D_real: -0.012899 Loss_D_fake 0.014560
[467/5000][290/535][47960] Loss_D: -0.027926 Loss_G: 0.031653 Loss_D_real: -0.027313 Loss_D_fake 0.000613
[467/5000][295/535][47961] Loss_D: -0.028768 Loss_G: 0.017983 Loss_D_real: -0.023671 Loss_D_fake 0.005097
[467/5000][300/535][47962] Loss_D: -0.029121 Loss_G: 0.010198 Loss_D_real: -0.024679 Loss_D_fake 0.004441
[467/5000][305/535][47963] Loss_D: -0.025675 Loss_G: 0.029665 Loss_D_real: -0.033274 Loss_D_fake -0.007599
[467/5000][310/535][47964] Loss_D: -0.026831 Loss_G: 0.025187 Loss_D_real: -0.023264 Loss_D_fake 0.003567
[467/5000][315/535][47965] Loss_D: -0.027816 Loss_G: 0.003402 Loss_D_real: -0.020767 Loss_D_fake 0.007049
[467/5000][320/535][47966] Loss_D: -0.027079 Loss_G: 0.004512 Loss_D_real: -0.010243 Loss_D_fake 0.016836
[467/5000][325/535][47967] Loss_D: -0.027684 Loss_G: 0.006130 Loss_D_real: -0.017062 Loss_D_fake 0.010623
[467/5000][330/535][47968] Loss_D: -0.026548 Loss_G: 0.023866 Loss_D_real: -0.031277 Loss_D_fake -0.004729
[467/5000][335/535][47969] Loss_D: -0.026670 Loss_G: 0.024646 Loss_D_real: -0.014642 Loss_D_fake 0.012028
[467/5000][340/535][47970] Loss_D: -0.026686 Loss_G: -0.010491 Loss_D_real: -0.002431 Loss_D_fake 0.024255
[467/5000][345/535][47971] Loss_D: -0.025847 Loss_G: 0.029327 Loss_D_real: -0.026042 Loss_D_fake -0.000196
[467/5000][350/535][47972] Loss_D: -0.028144 Loss_G: 0.008851 Loss_D_real: -0.018157 Loss_D_fake 0.009987
[467/5000][355/535][47973] Loss_D: -0.026656 Loss_G: 0.016048 Loss_D_real: -0.019329 Loss_D_fake 0.007328
[467/5000][360/535][47974] Loss_D: -0.027089 Loss_G: 0.026999 Loss_D_real: -0.032678 Loss_D_fake -0.005589
[467/5000][365/535][47975] Loss_D: -0.027803 Loss_G: 0.012097 Loss_D_real: -0.020859 Loss_D_fake 0.006945
[467/5000][370/535][47976] Loss_D: -0.029177 Loss_G: 0.006218 Loss_D_real: -0.014186 Loss_D_fake 0.014991
[467/5000][375/535][47977] Loss_D: -0.028094 Loss_G: 0.027930 Loss_D_real: -0.022177 Loss_D_fake 0.005917
[467/5000][380/535][47978] Loss_D: -0.026812 Loss_G: 0.004108 Loss_D_real: -0.015961 Loss_D_fake 0.010851
[467/5000][385/535][47979] Loss_D: -0.028245 Loss_G: 0.028519 Loss_D_real: -0.033926 Loss_D_fake -0.005681
[467/5000][390/535][47980] Loss_D: -0.028181 Loss_G: 0.022389 Loss_D_real: -0.022764 Loss_D_fake 0.005417
[467/5000][395/535][47981] Loss_D: -0.028220 Loss_G: 0.012056 Loss_D_real: -0.021915 Loss_D_fake 0.006305
[467/5000][400/535][47982] Loss_D: -0.026671 Loss_G: 0.035300 Loss_D_real: -0.031207 Loss_D_fake -0.004536
[467/5000][405/535][47983] Loss_D: -0.027414 Loss_G: -0.010520 Loss_D_real: -0.010479 Loss_D_fake 0.016935
[467/5000][410/535][47984] Loss_D: -0.026821 Loss_G: 0.002466 Loss_D_real: -0.018415 Loss_D_fake 0.008406
[467/5000][415/535][47985] Loss_D: -0.026188 Loss_G: 0.028492 Loss_D_real: -0.024858 Loss_D_fake 0.001330
[467/5000][420/535][47986] Loss_D: -0.026564 Loss_G: 0.022960 Loss_D_real: -0.032842 Loss_D_fake -0.006278
[467/5000][425/535][47987] Loss_D: -0.028423 Loss_G: 0.003821 Loss_D_real: -0.020175 Loss_D_fake 0.008248
[467/5000][430/535][47988] Loss_D: -0.027798 Loss_G: 0.005322 Loss_D_real: -0.005669 Loss_D_fake 0.022130
[467/5000][435/535][47989] Loss_D: -0.028175 Loss_G: 0.018776 Loss_D_real: -0.013583 Loss_D_fake 0.014592
[467/5000][440/535][47990] Loss_D: -0.025803 Loss_G: 0.015209 Loss_D_real: -0.021238 Loss_D_fake 0.004566
[467/5000][445/535][47991] Loss_D: -0.027732 Loss_G: 0.008864 Loss_D_real: -0.014840 Loss_D_fake 0.012892
[467/5000][450/535][47992] Loss_D: -0.026949 Loss_G: 0.040109 Loss_D_real: -0.038973 Loss_D_fake -0.012024
[467/5000][455/535][47993] Loss_D: -0.026883 Loss_G: 0.007592 Loss_D_real: -0.016847 Loss_D_fake 0.010035
[467/5000][460/535][47994] Loss_D: -0.027101 Loss_G: 0.022230 Loss_D_real: -0.017673 Loss_D_fake 0.009428
[467/5000][465/535][47995] Loss_D: -0.024812 Loss_G: -0.006419 Loss_D_real: -0.005222 Loss_D_fake 0.019590
[467/5000][470/535][47996] Loss_D: -0.026542 Loss_G: 0.021441 Loss_D_real: -0.029170 Loss_D_fake -0.002629
[467/5000][475/535][47997] Loss_D: -0.027844 Loss_G: 0.008124 Loss_D_real: -0.006535 Loss_D_fake 0.021308
[467/5000][480/535][47998] Loss_D: -0.026539 Loss_G: 0.003241 Loss_D_real: -0.008703 Loss_D_fake 0.017836
[467/5000][485/535][47999] Loss_D: -0.027518 Loss_G: 0.033942 Loss_D_real: -0.034127 Loss_D_fake -0.006609
[467/5000][490/535][48000] Loss_D: -0.027494 Loss_G: 0.007346 Loss_D_real: -0.015491 Loss_D_fake 0.012002
[467/5000][535/535][48001] Loss_D: -0.027744 Loss_G: 0.033769 Loss_D_real: -0.027316 Loss_D_fake 0.000429
[468/5000][5/535][48002] Loss_D: -0.028520 Loss_G: 0.009530 Loss_D_real: -0.019355 Loss_D_fake 0.009165
[468/5000][10/535][48003] Loss_D: -0.026346 Loss_G: 0.008384 Loss_D_real: -0.015885 Loss_D_fake 0.010461
[468/5000][15/535][48004] Loss_D: -0.026889 Loss_G: 0.031618 Loss_D_real: -0.029310 Loss_D_fake -0.002421
[468/5000][20/535][48005] Loss_D: -0.025584 Loss_G: 0.006681 Loss_D_real: -0.006947 Loss_D_fake 0.018637
[468/5000][25/535][48006] Loss_D: -0.027524 Loss_G: 0.015682 Loss_D_real: -0.027387 Loss_D_fake 0.000137
[468/5000][30/535][48007] Loss_D: -0.026474 Loss_G: 0.007067 Loss_D_real: -0.015259 Loss_D_fake 0.011215
[468/5000][35/535][48008] Loss_D: -0.026620 Loss_G: 0.004817 Loss_D_real: -0.010554 Loss_D_fake 0.016066
[468/5000][40/535][48009] Loss_D: -0.027513 Loss_G: 0.007333 Loss_D_real: -0.012080 Loss_D_fake 0.015433
[468/5000][45/535][48010] Loss_D: -0.027497 Loss_G: -0.008503 Loss_D_real: -0.011887 Loss_D_fake 0.015609
[468/5000][50/535][48011] Loss_D: -0.025936 Loss_G: 0.020123 Loss_D_real: -0.017217 Loss_D_fake 0.008719
[468/5000][55/535][48012] Loss_D: -0.026934 Loss_G: 0.017566 Loss_D_real: -0.020365 Loss_D_fake 0.006569
[468/5000][60/535][48013] Loss_D: -0.026059 Loss_G: 0.016199 Loss_D_real: -0.012181 Loss_D_fake 0.013879
[468/5000][65/535][48014] Loss_D: -0.026409 Loss_G: 0.025336 Loss_D_real: -0.028735 Loss_D_fake -0.002326
[468/5000][70/535][48015] Loss_D: -0.028173 Loss_G: 0.004463 Loss_D_real: -0.011346 Loss_D_fake 0.016827
[468/5000][75/535][48016] Loss_D: -0.026962 Loss_G: 0.016136 Loss_D_real: -0.015563 Loss_D_fake 0.011399
[468/5000][80/535][48017] Loss_D: -0.027122 Loss_G: 0.031501 Loss_D_real: -0.031829 Loss_D_fake -0.004706
[468/5000][85/535][48018] Loss_D: -0.027581 Loss_G: 0.020208 Loss_D_real: -0.022077 Loss_D_fake 0.005504
[468/5000][90/535][48019] Loss_D: -0.028001 Loss_G: -0.000876 Loss_D_real: 0.001998 Loss_D_fake 0.029999
[468/5000][95/535][48020] Loss_D: -0.026935 Loss_G: 0.034594 Loss_D_real: -0.026998 Loss_D_fake -0.000063
[468/5000][100/535][48021] Loss_D: -0.025197 Loss_G: -0.004157 Loss_D_real: 0.001677 Loss_D_fake 0.026874
[468/5000][105/535][48022] Loss_D: -0.026510 Loss_G: 0.014343 Loss_D_real: -0.022416 Loss_D_fake 0.004093
[468/5000][110/535][48023] Loss_D: -0.023681 Loss_G: 0.036836 Loss_D_real: -0.030435 Loss_D_fake -0.006754
[468/5000][115/535][48024] Loss_D: -0.026521 Loss_G: 0.021325 Loss_D_real: -0.017604 Loss_D_fake 0.008917
[468/5000][120/535][48025] Loss_D: -0.027697 Loss_G: 0.015090 Loss_D_real: -0.016909 Loss_D_fake 0.010787
[468/5000][125/535][48026] Loss_D: -0.028311 Loss_G: 0.023054 Loss_D_real: -0.021060 Loss_D_fake 0.007251
[468/5000][130/535][48027] Loss_D: -0.026968 Loss_G: -0.003141 Loss_D_real: -0.005029 Loss_D_fake 0.021940
[468/5000][135/535][48028] Loss_D: -0.027648 Loss_G: -0.004802 Loss_D_real: -0.011538 Loss_D_fake 0.016110
[468/5000][140/535][48029] Loss_D: -0.028052 Loss_G: 0.026067 Loss_D_real: -0.018217 Loss_D_fake 0.009835
[468/5000][145/535][48030] Loss_D: -0.026621 Loss_G: 0.002732 Loss_D_real: -0.006792 Loss_D_fake 0.019829
[468/5000][150/535][48031] Loss_D: -0.027104 Loss_G: -0.003811 Loss_D_real: -0.008262 Loss_D_fake 0.018841
[468/5000][155/535][48032] Loss_D: -0.028761 Loss_G: 0.012198 Loss_D_real: -0.010941 Loss_D_fake 0.017820
[468/5000][160/535][48033] Loss_D: -0.026289 Loss_G: 0.033634 Loss_D_real: -0.037566 Loss_D_fake -0.011276
[468/5000][165/535][48034] Loss_D: -0.027278 Loss_G: 0.007835 Loss_D_real: -0.013321 Loss_D_fake 0.013957
[468/5000][170/535][48035] Loss_D: -0.028756 Loss_G: 0.021983 Loss_D_real: -0.023703 Loss_D_fake 0.005053
[468/5000][175/535][48036] Loss_D: -0.028431 Loss_G: 0.011915 Loss_D_real: -0.018332 Loss_D_fake 0.010098
[468/5000][180/535][48037] Loss_D: -0.026469 Loss_G: 0.010703 Loss_D_real: -0.014873 Loss_D_fake 0.011595
[468/5000][185/535][48038] Loss_D: -0.026489 Loss_G: 0.018445 Loss_D_real: -0.014000 Loss_D_fake 0.012489
[468/5000][190/535][48039] Loss_D: -0.026517 Loss_G: 0.034056 Loss_D_real: -0.041424 Loss_D_fake -0.014907
[468/5000][195/535][48040] Loss_D: -0.027669 Loss_G: 0.006041 Loss_D_real: -0.016764 Loss_D_fake 0.010905
[468/5000][200/535][48041] Loss_D: -0.028773 Loss_G: 0.033226 Loss_D_real: -0.025594 Loss_D_fake 0.003179
[468/5000][205/535][48042] Loss_D: -0.027538 Loss_G: 0.018338 Loss_D_real: -0.021447 Loss_D_fake 0.006091
[468/5000][210/535][48043] Loss_D: -0.027366 Loss_G: 0.018075 Loss_D_real: -0.020103 Loss_D_fake 0.007263
[468/5000][215/535][48044] Loss_D: -0.026204 Loss_G: 0.010725 Loss_D_real: -0.014380 Loss_D_fake 0.011825
[468/5000][220/535][48045] Loss_D: -0.027554 Loss_G: 0.024769 Loss_D_real: -0.025209 Loss_D_fake 0.002345
[468/5000][225/535][48046] Loss_D: -0.025796 Loss_G: 0.003976 Loss_D_real: -0.016030 Loss_D_fake 0.009766
[468/5000][230/535][48047] Loss_D: -0.027605 Loss_G: 0.031900 Loss_D_real: -0.031101 Loss_D_fake -0.003497
[468/5000][235/535][48048] Loss_D: -0.027266 Loss_G: 0.027404 Loss_D_real: -0.037124 Loss_D_fake -0.009858
[468/5000][240/535][48049] Loss_D: -0.027875 Loss_G: -0.002517 Loss_D_real: -0.005084 Loss_D_fake 0.022791
[468/5000][245/535][48050] Loss_D: -0.026461 Loss_G: 0.027527 Loss_D_real: -0.027904 Loss_D_fake -0.001442
[468/5000][250/535][48051] Loss_D: -0.027423 Loss_G: 0.025521 Loss_D_real: -0.027486 Loss_D_fake -0.000063
[468/5000][255/535][48052] Loss_D: -0.027091 Loss_G: 0.017543 Loss_D_real: -0.023044 Loss_D_fake 0.004047
[468/5000][260/535][48053] Loss_D: -0.027586 Loss_G: 0.041145 Loss_D_real: -0.022237 Loss_D_fake 0.005350
[468/5000][265/535][48054] Loss_D: -0.026185 Loss_G: -0.018562 Loss_D_real: 0.005482 Loss_D_fake 0.031667
[468/5000][270/535][48055] Loss_D: -0.026147 Loss_G: 0.018473 Loss_D_real: -0.016701 Loss_D_fake 0.009446
[468/5000][275/535][48056] Loss_D: -0.026920 Loss_G: 0.032141 Loss_D_real: -0.016749 Loss_D_fake 0.010171
[468/5000][280/535][48057] Loss_D: -0.025871 Loss_G: 0.026363 Loss_D_real: -0.037147 Loss_D_fake -0.011276
[468/5000][285/535][48058] Loss_D: -0.027037 Loss_G: 0.015437 Loss_D_real: -0.019455 Loss_D_fake 0.007582
[468/5000][290/535][48059] Loss_D: -0.027986 Loss_G: 0.018426 Loss_D_real: -0.017722 Loss_D_fake 0.010264
[468/5000][295/535][48060] Loss_D: -0.026794 Loss_G: 0.019873 Loss_D_real: -0.014090 Loss_D_fake 0.012704
[468/5000][300/535][48061] Loss_D: -0.026455 Loss_G: -0.002590 Loss_D_real: -0.005106 Loss_D_fake 0.021349
[468/5000][305/535][48062] Loss_D: -0.026545 Loss_G: 0.012875 Loss_D_real: -0.018199 Loss_D_fake 0.008346
[468/5000][310/535][48063] Loss_D: -0.027612 Loss_G: -0.000108 Loss_D_real: -0.002989 Loss_D_fake 0.024623
[468/5000][315/535][48064] Loss_D: -0.025130 Loss_G: 0.018265 Loss_D_real: -0.016547 Loss_D_fake 0.008583
[468/5000][320/535][48065] Loss_D: -0.027363 Loss_G: 0.031801 Loss_D_real: -0.026974 Loss_D_fake 0.000389
[468/5000][325/535][48066] Loss_D: -0.028024 Loss_G: 0.018552 Loss_D_real: -0.007179 Loss_D_fake 0.020845
[468/5000][330/535][48067] Loss_D: -0.027475 Loss_G: 0.006976 Loss_D_real: -0.004989 Loss_D_fake 0.022486
[468/5000][335/535][48068] Loss_D: -0.028276 Loss_G: 0.010990 Loss_D_real: -0.020020 Loss_D_fake 0.008256
[468/5000][340/535][48069] Loss_D: -0.027636 Loss_G: 0.002810 Loss_D_real: -0.007985 Loss_D_fake 0.019651
[468/5000][345/535][48070] Loss_D: -0.029185 Loss_G: 0.015914 Loss_D_real: -0.007769 Loss_D_fake 0.021416
[468/5000][350/535][48071] Loss_D: -0.027396 Loss_G: 0.003872 Loss_D_real: -0.001883 Loss_D_fake 0.025513
[468/5000][355/535][48072] Loss_D: -0.026167 Loss_G: 0.023477 Loss_D_real: -0.029518 Loss_D_fake -0.003350
[468/5000][360/535][48073] Loss_D: -0.026024 Loss_G: 0.011285 Loss_D_real: -0.027368 Loss_D_fake -0.001344
[468/5000][365/535][48074] Loss_D: -0.027018 Loss_G: 0.010787 Loss_D_real: -0.004404 Loss_D_fake 0.022614
[468/5000][370/535][48075] Loss_D: -0.028075 Loss_G: 0.021755 Loss_D_real: -0.016523 Loss_D_fake 0.011551
[468/5000][375/535][48076] Loss_D: -0.028192 Loss_G: 0.022237 Loss_D_real: -0.014402 Loss_D_fake 0.013790
[468/5000][380/535][48077] Loss_D: -0.028961 Loss_G: 0.009975 Loss_D_real: -0.014155 Loss_D_fake 0.014806
[468/5000][385/535][48078] Loss_D: -0.028656 Loss_G: 0.006206 Loss_D_real: -0.018407 Loss_D_fake 0.010250
[468/5000][390/535][48079] Loss_D: -0.028213 Loss_G: 0.038431 Loss_D_real: -0.037815 Loss_D_fake -0.009601
[468/5000][395/535][48080] Loss_D: -0.028310 Loss_G: 0.022871 Loss_D_real: -0.015326 Loss_D_fake 0.012984
[468/5000][400/535][48081] Loss_D: -0.026524 Loss_G: -0.004861 Loss_D_real: 0.006693 Loss_D_fake 0.033217
[468/5000][405/535][48082] Loss_D: -0.027973 Loss_G: 0.006994 Loss_D_real: -0.016308 Loss_D_fake 0.011664
[468/5000][410/535][48083] Loss_D: -0.027912 Loss_G: 0.012909 Loss_D_real: -0.013755 Loss_D_fake 0.014157
[468/5000][415/535][48084] Loss_D: -0.025902 Loss_G: 0.003718 Loss_D_real: -0.017328 Loss_D_fake 0.008573
[468/5000][420/535][48085] Loss_D: -0.027910 Loss_G: 0.013998 Loss_D_real: -0.019527 Loss_D_fake 0.008383
[468/5000][425/535][48086] Loss_D: -0.027559 Loss_G: -0.001940 Loss_D_real: -0.008637 Loss_D_fake 0.018922
[468/5000][430/535][48087] Loss_D: -0.027377 Loss_G: 0.023460 Loss_D_real: -0.024953 Loss_D_fake 0.002424
[468/5000][435/535][48088] Loss_D: -0.027134 Loss_G: 0.008237 Loss_D_real: -0.014998 Loss_D_fake 0.012136
[468/5000][440/535][48089] Loss_D: -0.027725 Loss_G: 0.008293 Loss_D_real: -0.018790 Loss_D_fake 0.008935
[468/5000][445/535][48090] Loss_D: -0.026853 Loss_G: 0.029180 Loss_D_real: -0.031203 Loss_D_fake -0.004350
[468/5000][450/535][48091] Loss_D: -0.027305 Loss_G: 0.013858 Loss_D_real: -0.016396 Loss_D_fake 0.010909
[468/5000][455/535][48092] Loss_D: -0.028399 Loss_G: 0.002227 Loss_D_real: -0.002286 Loss_D_fake 0.026113
[468/5000][460/535][48093] Loss_D: -0.027753 Loss_G: 0.016799 Loss_D_real: -0.009435 Loss_D_fake 0.018318
[468/5000][465/535][48094] Loss_D: -0.028215 Loss_G: 0.035520 Loss_D_real: -0.035563 Loss_D_fake -0.007348
[468/5000][470/535][48095] Loss_D: -0.026901 Loss_G: -0.007323 Loss_D_real: 0.003918 Loss_D_fake 0.030819
[468/5000][475/535][48096] Loss_D: -0.026846 Loss_G: 0.010233 Loss_D_real: -0.020587 Loss_D_fake 0.006258
[468/5000][480/535][48097] Loss_D: -0.027206 Loss_G: 0.011751 Loss_D_real: -0.022303 Loss_D_fake 0.004903
[468/5000][485/535][48098] Loss_D: -0.027598 Loss_G: 0.005902 Loss_D_real: -0.003447 Loss_D_fake 0.024152
[468/5000][490/535][48099] Loss_D: -0.028433 Loss_G: 0.022864 Loss_D_real: -0.020125 Loss_D_fake 0.008308
[468/5000][495/535][48100] Loss_D: -0.028028 Loss_G: 0.009524 Loss_D_real: -0.014473 Loss_D_fake 0.013555
[468/5000][500/535][48101] Loss_D: -0.026393 Loss_G: 0.006939 Loss_D_real: -0.019241 Loss_D_fake 0.007152
[468/5000][505/535][48102] Loss_D: -0.026529 Loss_G: 0.019496 Loss_D_real: -0.014195 Loss_D_fake 0.012334
[468/5000][510/535][48103] Loss_D: -0.026437 Loss_G: 0.019497 Loss_D_real: -0.017271 Loss_D_fake 0.009166
[468/5000][515/535][48104] Loss_D: -0.026817 Loss_G: -0.002418 Loss_D_real: -0.009524 Loss_D_fake 0.017292
[468/5000][520/535][48105] Loss_D: -0.027554 Loss_G: 0.027610 Loss_D_real: -0.025596 Loss_D_fake 0.001958
[468/5000][525/535][48106] Loss_D: -0.027908 Loss_G: 0.019490 Loss_D_real: -0.019791 Loss_D_fake 0.008117
[468/5000][530/535][48107] Loss_D: -0.028841 Loss_G: 0.016313 Loss_D_real: -0.013102 Loss_D_fake 0.015739
[468/5000][535/535][48108] Loss_D: -0.023767 Loss_G: 0.022490 Loss_D_real: -0.015747 Loss_D_fake 0.008021
[469/5000][5/535][48109] Loss_D: -0.027373 Loss_G: 0.004645 Loss_D_real: -0.007083 Loss_D_fake 0.020289
[469/5000][10/535][48110] Loss_D: -0.025281 Loss_G: 0.035380 Loss_D_real: -0.028024 Loss_D_fake -0.002742
[469/5000][15/535][48111] Loss_D: -0.028419 Loss_G: 0.014926 Loss_D_real: -0.023172 Loss_D_fake 0.005247
[469/5000][20/535][48112] Loss_D: -0.026706 Loss_G: 0.021454 Loss_D_real: -0.031289 Loss_D_fake -0.004583
[469/5000][25/535][48113] Loss_D: -0.027380 Loss_G: 0.002174 Loss_D_real: 0.004471 Loss_D_fake 0.031851
[469/5000][30/535][48114] Loss_D: -0.028171 Loss_G: 0.010405 Loss_D_real: -0.011751 Loss_D_fake 0.016421
[469/5000][35/535][48115] Loss_D: -0.025288 Loss_G: 0.038413 Loss_D_real: -0.039120 Loss_D_fake -0.013831
[469/5000][40/535][48116] Loss_D: -0.023448 Loss_G: -0.022031 Loss_D_real: 0.012883 Loss_D_fake 0.036331
[469/5000][45/535][48117] Loss_D: -0.024980 Loss_G: 0.024580 Loss_D_real: -0.024520 Loss_D_fake 0.000460
[469/5000][50/535][48118] Loss_D: -0.026892 Loss_G: 0.023686 Loss_D_real: -0.023931 Loss_D_fake 0.002962
[469/5000][55/535][48119] Loss_D: -0.027231 Loss_G: 0.030076 Loss_D_real: -0.024080 Loss_D_fake 0.003151
[469/5000][60/535][48120] Loss_D: -0.027023 Loss_G: -0.020486 Loss_D_real: -0.001025 Loss_D_fake 0.025998
[469/5000][65/535][48121] Loss_D: -0.026947 Loss_G: 0.018544 Loss_D_real: -0.023345 Loss_D_fake 0.003602
[469/5000][70/535][48122] Loss_D: -0.025772 Loss_G: 0.000395 Loss_D_real: -0.007739 Loss_D_fake 0.018033
[469/5000][75/535][48123] Loss_D: -0.026547 Loss_G: 0.016939 Loss_D_real: -0.016785 Loss_D_fake 0.009762
[469/5000][80/535][48124] Loss_D: -0.028109 Loss_G: 0.029179 Loss_D_real: -0.017753 Loss_D_fake 0.010355
[469/5000][85/535][48125] Loss_D: -0.026208 Loss_G: 0.019192 Loss_D_real: -0.027339 Loss_D_fake -0.001131
[469/5000][90/535][48126] Loss_D: -0.026084 Loss_G: 0.016850 Loss_D_real: -0.023981 Loss_D_fake 0.002103
[469/5000][95/535][48127] Loss_D: -0.026073 Loss_G: 0.007307 Loss_D_real: -0.010032 Loss_D_fake 0.016041
[469/5000][100/535][48128] Loss_D: -0.026893 Loss_G: 0.004967 Loss_D_real: -0.013514 Loss_D_fake 0.013379
[469/5000][105/535][48129] Loss_D: -0.026748 Loss_G: 0.009032 Loss_D_real: -0.013208 Loss_D_fake 0.013539
[469/5000][110/535][48130] Loss_D: -0.026083 Loss_G: 0.019601 Loss_D_real: -0.020637 Loss_D_fake 0.005446
[469/5000][115/535][48131] Loss_D: -0.027041 Loss_G: 0.025133 Loss_D_real: -0.025777 Loss_D_fake 0.001264
[469/5000][120/535][48132] Loss_D: -0.025852 Loss_G: -0.007510 Loss_D_real: 0.001026 Loss_D_fake 0.026878
[469/5000][125/535][48133] Loss_D: -0.026484 Loss_G: 0.038826 Loss_D_real: -0.035996 Loss_D_fake -0.009512
[469/5000][130/535][48134] Loss_D: -0.027239 Loss_G: 0.020057 Loss_D_real: -0.022816 Loss_D_fake 0.004423
[469/5000][135/535][48135] Loss_D: -0.028649 Loss_G: 0.008181 Loss_D_real: -0.016840 Loss_D_fake 0.011809
[469/5000][140/535][48136] Loss_D: -0.027760 Loss_G: 0.028079 Loss_D_real: -0.028749 Loss_D_fake -0.000990
[469/5000][145/535][48137] Loss_D: -0.028882 Loss_G: 0.008878 Loss_D_real: -0.005936 Loss_D_fake 0.022947
[469/5000][150/535][48138] Loss_D: -0.027675 Loss_G: -0.002263 Loss_D_real: -0.000397 Loss_D_fake 0.027279
[469/5000][155/535][48139] Loss_D: -0.026619 Loss_G: 0.025893 Loss_D_real: -0.031540 Loss_D_fake -0.004921
[469/5000][160/535][48140] Loss_D: -0.027410 Loss_G: 0.037867 Loss_D_real: -0.030669 Loss_D_fake -0.003259
[469/5000][165/535][48141] Loss_D: -0.026332 Loss_G: 0.020476 Loss_D_real: -0.020690 Loss_D_fake 0.005642
[469/5000][170/535][48142] Loss_D: -0.028710 Loss_G: 0.004397 Loss_D_real: -0.023727 Loss_D_fake 0.004983
[469/5000][175/535][48143] Loss_D: -0.026109 Loss_G: 0.026271 Loss_D_real: -0.025351 Loss_D_fake 0.000758
[469/5000][180/535][48144] Loss_D: -0.027660 Loss_G: 0.008484 Loss_D_real: -0.020805 Loss_D_fake 0.006855
[469/5000][185/535][48145] Loss_D: -0.026919 Loss_G: -0.010665 Loss_D_real: -0.003049 Loss_D_fake 0.023870
[469/5000][190/535][48146] Loss_D: -0.027258 Loss_G: 0.026529 Loss_D_real: -0.021661 Loss_D_fake 0.005597
[469/5000][195/535][48147] Loss_D: -0.029510 Loss_G: 0.010811 Loss_D_real: -0.019278 Loss_D_fake 0.010231
[469/5000][200/535][48148] Loss_D: -0.029258 Loss_G: 0.022412 Loss_D_real: -0.019575 Loss_D_fake 0.009683
[469/5000][205/535][48149] Loss_D: -0.027792 Loss_G: 0.008474 Loss_D_real: -0.016217 Loss_D_fake 0.011575
[469/5000][210/535][48150] Loss_D: -0.027416 Loss_G: 0.024164 Loss_D_real: -0.021217 Loss_D_fake 0.006199
[469/5000][215/535][48151] Loss_D: -0.027617 Loss_G: 0.016236 Loss_D_real: -0.017905 Loss_D_fake 0.009712
[469/5000][220/535][48152] Loss_D: -0.027797 Loss_G: 0.009537 Loss_D_real: -0.014851 Loss_D_fake 0.012946
[469/5000][225/535][48153] Loss_D: -0.027650 Loss_G: 0.027622 Loss_D_real: -0.032673 Loss_D_fake -0.005023
[469/5000][230/535][48154] Loss_D: -0.029201 Loss_G: 0.011487 Loss_D_real: -0.019027 Loss_D_fake 0.010175
[469/5000][235/535][48155] Loss_D: -0.025755 Loss_G: -0.013367 Loss_D_real: 0.000383 Loss_D_fake 0.026138
[469/5000][240/535][48156] Loss_D: -0.027432 Loss_G: 0.021395 Loss_D_real: -0.017715 Loss_D_fake 0.009717
[469/5000][245/535][48157] Loss_D: -0.027152 Loss_G: 0.031757 Loss_D_real: -0.023550 Loss_D_fake 0.003602
[469/5000][250/535][48158] Loss_D: -0.027329 Loss_G: -0.007383 Loss_D_real: -0.006634 Loss_D_fake 0.020696
[469/5000][255/535][48159] Loss_D: -0.028700 Loss_G: 0.033132 Loss_D_real: -0.031252 Loss_D_fake -0.002552
[469/5000][260/535][48160] Loss_D: -0.026846 Loss_G: -0.012852 Loss_D_real: -0.004554 Loss_D_fake 0.022292
[469/5000][265/535][48161] Loss_D: -0.027801 Loss_G: 0.015596 Loss_D_real: -0.016260 Loss_D_fake 0.011541
[469/5000][270/535][48162] Loss_D: -0.029222 Loss_G: 0.005330 Loss_D_real: -0.018214 Loss_D_fake 0.011007
[469/5000][275/535][48163] Loss_D: -0.027468 Loss_G: 0.025403 Loss_D_real: -0.026167 Loss_D_fake 0.001301
[469/5000][280/535][48164] Loss_D: -0.026931 Loss_G: 0.006033 Loss_D_real: 0.003090 Loss_D_fake 0.030021
[469/5000][285/535][48165] Loss_D: -0.026120 Loss_G: -0.008664 Loss_D_real: -0.003210 Loss_D_fake 0.022910
[469/5000][290/535][48166] Loss_D: -0.026764 Loss_G: 0.001435 Loss_D_real: -0.015040 Loss_D_fake 0.011725
[469/5000][295/535][48167] Loss_D: -0.027037 Loss_G: 0.030959 Loss_D_real: -0.022584 Loss_D_fake 0.004453
[469/5000][300/535][48168] Loss_D: -0.026556 Loss_G: 0.005502 Loss_D_real: -0.014597 Loss_D_fake 0.011959
[469/5000][305/535][48169] Loss_D: -0.027949 Loss_G: 0.026949 Loss_D_real: -0.018197 Loss_D_fake 0.009752
[469/5000][310/535][48170] Loss_D: -0.026395 Loss_G: 0.032990 Loss_D_real: -0.032086 Loss_D_fake -0.005691
[469/5000][315/535][48171] Loss_D: -0.028264 Loss_G: 0.032726 Loss_D_real: -0.027105 Loss_D_fake 0.001159
[469/5000][320/535][48172] Loss_D: -0.027437 Loss_G: -0.007217 Loss_D_real: -0.007385 Loss_D_fake 0.020051
[469/5000][325/535][48173] Loss_D: -0.028044 Loss_G: 0.023595 Loss_D_real: -0.022936 Loss_D_fake 0.005108
[469/5000][330/535][48174] Loss_D: -0.027266 Loss_G: 0.010098 Loss_D_real: -0.009619 Loss_D_fake 0.017647
[469/5000][335/535][48175] Loss_D: -0.027693 Loss_G: 0.033291 Loss_D_real: -0.026953 Loss_D_fake 0.000739
[469/5000][340/535][48176] Loss_D: -0.027774 Loss_G: 0.014487 Loss_D_real: -0.025886 Loss_D_fake 0.001889
[469/5000][345/535][48177] Loss_D: -0.027088 Loss_G: 0.020094 Loss_D_real: -0.028962 Loss_D_fake -0.001874
[469/5000][350/535][48178] Loss_D: -0.026791 Loss_G: 0.021961 Loss_D_real: -0.026463 Loss_D_fake 0.000328
[469/5000][355/535][48179] Loss_D: -0.026478 Loss_G: 0.013832 Loss_D_real: -0.023449 Loss_D_fake 0.003029
[469/5000][360/535][48180] Loss_D: -0.028333 Loss_G: 0.001339 Loss_D_real: -0.018696 Loss_D_fake 0.009637
[469/5000][365/535][48181] Loss_D: -0.027139 Loss_G: 0.026592 Loss_D_real: -0.018362 Loss_D_fake 0.008777
[469/5000][370/535][48182] Loss_D: -0.027261 Loss_G: 0.006139 Loss_D_real: -0.018815 Loss_D_fake 0.008445
[469/5000][375/535][48183] Loss_D: -0.027323 Loss_G: 0.017394 Loss_D_real: -0.016518 Loss_D_fake 0.010805
[469/5000][380/535][48184] Loss_D: -0.027464 Loss_G: 0.002134 Loss_D_real: -0.018317 Loss_D_fake 0.009146
[469/5000][385/535][48185] Loss_D: -0.026221 Loss_G: 0.024497 Loss_D_real: -0.031999 Loss_D_fake -0.005779
[469/5000][390/535][48186] Loss_D: -0.026624 Loss_G: 0.006201 Loss_D_real: -0.006822 Loss_D_fake 0.019802
[469/5000][395/535][48187] Loss_D: -0.026642 Loss_G: 0.000373 Loss_D_real: -0.012121 Loss_D_fake 0.014521
[469/5000][400/535][48188] Loss_D: -0.027080 Loss_G: -0.006175 Loss_D_real: -0.005409 Loss_D_fake 0.021671
[469/5000][405/535][48189] Loss_D: -0.024461 Loss_G: 0.027824 Loss_D_real: -0.028807 Loss_D_fake -0.004346
[469/5000][410/535][48190] Loss_D: -0.028204 Loss_G: 0.006610 Loss_D_real: -0.017974 Loss_D_fake 0.010230
[469/5000][415/535][48191] Loss_D: -0.026798 Loss_G: 0.027879 Loss_D_real: -0.022073 Loss_D_fake 0.004726
[469/5000][420/535][48192] Loss_D: -0.028007 Loss_G: 0.005428 Loss_D_real: -0.017101 Loss_D_fake 0.010906
[469/5000][425/535][48193] Loss_D: -0.028221 Loss_G: -0.008943 Loss_D_real: -0.016330 Loss_D_fake 0.011891
[469/5000][430/535][48194] Loss_D: -0.026936 Loss_G: 0.029528 Loss_D_real: -0.030901 Loss_D_fake -0.003965
[469/5000][435/535][48195] Loss_D: -0.026796 Loss_G: 0.014224 Loss_D_real: -0.023020 Loss_D_fake 0.003776
[469/5000][440/535][48196] Loss_D: -0.026398 Loss_G: 0.033207 Loss_D_real: -0.035645 Loss_D_fake -0.009247
[469/5000][445/535][48197] Loss_D: -0.026872 Loss_G: -0.004753 Loss_D_real: -0.006548 Loss_D_fake 0.020324
[469/5000][450/535][48198] Loss_D: -0.025822 Loss_G: -0.002141 Loss_D_real: -0.013005 Loss_D_fake 0.012817
[469/5000][455/535][48199] Loss_D: -0.028280 Loss_G: 0.002039 Loss_D_real: -0.009914 Loss_D_fake 0.018366
[469/5000][460/535][48200] Loss_D: -0.028721 Loss_G: 0.005069 Loss_D_real: -0.011774 Loss_D_fake 0.016947
[469/5000][465/535][48201] Loss_D: -0.027087 Loss_G: 0.006522 Loss_D_real: -0.013943 Loss_D_fake 0.013144
[469/5000][470/535][48202] Loss_D: -0.027433 Loss_G: 0.023861 Loss_D_real: -0.022356 Loss_D_fake 0.005076
[469/5000][475/535][48203] Loss_D: -0.027754 Loss_G: 0.010397 Loss_D_real: -0.013973 Loss_D_fake 0.013781
[469/5000][480/535][48204] Loss_D: -0.024856 Loss_G: 0.040283 Loss_D_real: -0.033626 Loss_D_fake -0.008770
[469/5000][485/535][48205] Loss_D: -0.026856 Loss_G: 0.021763 Loss_D_real: -0.025177 Loss_D_fake 0.001679
[469/5000][490/535][48206] Loss_D: -0.026000 Loss_G: 0.014236 Loss_D_real: -0.016925 Loss_D_fake 0.009075
[469/5000][495/535][48207] Loss_D: -0.026350 Loss_G: 0.004267 Loss_D_real: -0.014273 Loss_D_fake 0.012077
[469/5000][500/535][48208] Loss_D: -0.027267 Loss_G: 0.024709 Loss_D_real: -0.025252 Loss_D_fake 0.002015
[469/5000][505/535][48209] Loss_D: -0.026110 Loss_G: 0.015556 Loss_D_real: -0.012518 Loss_D_fake 0.013592
[469/5000][510/535][48210] Loss_D: -0.026873 Loss_G: -0.000673 Loss_D_real: -0.024520 Loss_D_fake 0.002352
[469/5000][515/535][48211] Loss_D: -0.027231 Loss_G: 0.023083 Loss_D_real: -0.023917 Loss_D_fake 0.003314
[469/5000][520/535][48212] Loss_D: -0.027237 Loss_G: 0.006688 Loss_D_real: -0.018340 Loss_D_fake 0.008897
[469/5000][525/535][48213] Loss_D: -0.027228 Loss_G: 0.026133 Loss_D_real: -0.034109 Loss_D_fake -0.006882
[469/5000][530/535][48214] Loss_D: -0.028503 Loss_G: 0.011231 Loss_D_real: -0.015861 Loss_D_fake 0.012642
[469/5000][535/535][48215] Loss_D: -0.027443 Loss_G: -0.015353 Loss_D_real: -0.024250 Loss_D_fake 0.003193
[470/5000][5/535][48216] Loss_D: -0.027587 Loss_G: 0.023421 Loss_D_real: -0.017850 Loss_D_fake 0.009737
[470/5000][10/535][48217] Loss_D: -0.027921 Loss_G: 0.000150 Loss_D_real: -0.010856 Loss_D_fake 0.017065
[470/5000][15/535][48218] Loss_D: -0.029588 Loss_G: 0.040433 Loss_D_real: -0.032225 Loss_D_fake -0.002637
[470/5000][20/535][48219] Loss_D: -0.028019 Loss_G: 0.020311 Loss_D_real: -0.025053 Loss_D_fake 0.002967
[470/5000][25/535][48220] Loss_D: -0.028435 Loss_G: -0.009659 Loss_D_real: -0.009630 Loss_D_fake 0.018805
[470/5000][30/535][48221] Loss_D: -0.028204 Loss_G: 0.029139 Loss_D_real: -0.024355 Loss_D_fake 0.003849
[470/5000][35/535][48222] Loss_D: -0.025551 Loss_G: 0.038280 Loss_D_real: -0.030827 Loss_D_fake -0.005276
[470/5000][40/535][48223] Loss_D: -0.027990 Loss_G: 0.006630 Loss_D_real: -0.016186 Loss_D_fake 0.011804
[470/5000][45/535][48224] Loss_D: -0.026501 Loss_G: -0.002573 Loss_D_real: 0.000164 Loss_D_fake 0.026665
[470/5000][50/535][48225] Loss_D: -0.025131 Loss_G: 0.034642 Loss_D_real: -0.037169 Loss_D_fake -0.012037
[470/5000][55/535][48226] Loss_D: -0.027447 Loss_G: 0.011082 Loss_D_real: -0.004907 Loss_D_fake 0.022540
[470/5000][60/535][48227] Loss_D: -0.026233 Loss_G: 0.026789 Loss_D_real: -0.031276 Loss_D_fake -0.005043
[470/5000][65/535][48228] Loss_D: -0.027009 Loss_G: -0.015502 Loss_D_real: 0.004048 Loss_D_fake 0.031057
[470/5000][70/535][48229] Loss_D: -0.027400 Loss_G: 0.021669 Loss_D_real: -0.018366 Loss_D_fake 0.009034
[470/5000][75/535][48230] Loss_D: -0.026349 Loss_G: 0.006182 Loss_D_real: -0.004687 Loss_D_fake 0.021663
[470/5000][80/535][48231] Loss_D: -0.027714 Loss_G: 0.020454 Loss_D_real: -0.026685 Loss_D_fake 0.001029
[470/5000][85/535][48232] Loss_D: -0.026749 Loss_G: 0.039421 Loss_D_real: -0.032485 Loss_D_fake -0.005735
[470/5000][90/535][48233] Loss_D: -0.027499 Loss_G: 0.002892 Loss_D_real: -0.008632 Loss_D_fake 0.018866
[470/5000][95/535][48234] Loss_D: -0.026350 Loss_G: 0.006021 Loss_D_real: -0.015449 Loss_D_fake 0.010901
[470/5000][100/535][48235] Loss_D: -0.027137 Loss_G: 0.013189 Loss_D_real: -0.030123 Loss_D_fake -0.002986
[470/5000][105/535][48236] Loss_D: -0.027495 Loss_G: 0.025603 Loss_D_real: -0.019612 Loss_D_fake 0.007883
[470/5000][110/535][48237] Loss_D: -0.027614 Loss_G: 0.020073 Loss_D_real: -0.013936 Loss_D_fake 0.013678
[470/5000][115/535][48238] Loss_D: -0.028322 Loss_G: 0.000859 Loss_D_real: -0.010496 Loss_D_fake 0.017826
[470/5000][120/535][48239] Loss_D: -0.026183 Loss_G: 0.036839 Loss_D_real: -0.038778 Loss_D_fake -0.012596
[470/5000][125/535][48240] Loss_D: -0.027139 Loss_G: 0.024787 Loss_D_real: -0.023741 Loss_D_fake 0.003398
[470/5000][130/535][48241] Loss_D: -0.026514 Loss_G: 0.034707 Loss_D_real: -0.028878 Loss_D_fake -0.002363
[470/5000][135/535][48242] Loss_D: -0.026282 Loss_G: 0.002457 Loss_D_real: -0.004278 Loss_D_fake 0.022004
[470/5000][140/535][48243] Loss_D: -0.027129 Loss_G: 0.012794 Loss_D_real: -0.018431 Loss_D_fake 0.008698
[470/5000][145/535][48244] Loss_D: -0.027066 Loss_G: -0.007093 Loss_D_real: -0.006026 Loss_D_fake 0.021040
[470/5000][150/535][48245] Loss_D: -0.026497 Loss_G: 0.027071 Loss_D_real: -0.032701 Loss_D_fake -0.006204
[470/5000][155/535][48246] Loss_D: -0.026342 Loss_G: -0.000103 Loss_D_real: -0.011463 Loss_D_fake 0.014879
[470/5000][160/535][48247] Loss_D: -0.026340 Loss_G: 0.012963 Loss_D_real: -0.015922 Loss_D_fake 0.010418
[470/5000][165/535][48248] Loss_D: -0.027370 Loss_G: 0.007268 Loss_D_real: -0.009995 Loss_D_fake 0.017375
[470/5000][170/535][48249] Loss_D: -0.025936 Loss_G: 0.017140 Loss_D_real: -0.011932 Loss_D_fake 0.014004
[470/5000][175/535][48250] Loss_D: -0.025102 Loss_G: 0.034951 Loss_D_real: -0.024387 Loss_D_fake 0.000715
[470/5000][180/535][48251] Loss_D: -0.027816 Loss_G: 0.012086 Loss_D_real: -0.011800 Loss_D_fake 0.016016
[470/5000][185/535][48252] Loss_D: -0.025934 Loss_G: 0.028699 Loss_D_real: -0.030496 Loss_D_fake -0.004562
[470/5000][190/535][48253] Loss_D: -0.025842 Loss_G: 0.002106 Loss_D_real: -0.012783 Loss_D_fake 0.013059
[470/5000][195/535][48254] Loss_D: -0.027833 Loss_G: 0.016591 Loss_D_real: -0.024457 Loss_D_fake 0.003376
[470/5000][200/535][48255] Loss_D: -0.027553 Loss_G: 0.021528 Loss_D_real: -0.035574 Loss_D_fake -0.008021
[470/5000][205/535][48256] Loss_D: -0.028134 Loss_G: 0.013333 Loss_D_real: -0.014164 Loss_D_fake 0.013969
[470/5000][210/535][48257] Loss_D: -0.026756 Loss_G: -0.005890 Loss_D_real: -0.004568 Loss_D_fake 0.022187
[470/5000][215/535][48258] Loss_D: -0.027504 Loss_G: 0.017665 Loss_D_real: -0.023459 Loss_D_fake 0.004045
[470/5000][220/535][48259] Loss_D: -0.027442 Loss_G: -0.009429 Loss_D_real: 0.007425 Loss_D_fake 0.034867
[470/5000][225/535][48260] Loss_D: -0.025485 Loss_G: 0.039095 Loss_D_real: -0.031935 Loss_D_fake -0.006450
[470/5000][230/535][48261] Loss_D: -0.027054 Loss_G: 0.012823 Loss_D_real: -0.005443 Loss_D_fake 0.021610
[470/5000][235/535][48262] Loss_D: -0.028170 Loss_G: 0.022290 Loss_D_real: -0.022018 Loss_D_fake 0.006152
[470/5000][240/535][48263] Loss_D: -0.026255 Loss_G: -0.002352 Loss_D_real: -0.003751 Loss_D_fake 0.022503
[470/5000][245/535][48264] Loss_D: -0.025588 Loss_G: -0.001775 Loss_D_real: -0.004138 Loss_D_fake 0.021450
[470/5000][250/535][48265] Loss_D: -0.026006 Loss_G: 0.031240 Loss_D_real: -0.031071 Loss_D_fake -0.005065
[470/5000][255/535][48266] Loss_D: -0.027290 Loss_G: 0.017730 Loss_D_real: -0.017523 Loss_D_fake 0.009767
[470/5000][260/535][48267] Loss_D: -0.029698 Loss_G: 0.019239 Loss_D_real: -0.012519 Loss_D_fake 0.017179
[470/5000][265/535][48268] Loss_D: -0.028071 Loss_G: 0.005728 Loss_D_real: -0.012373 Loss_D_fake 0.015698
[470/5000][270/535][48269] Loss_D: -0.028740 Loss_G: 0.003080 Loss_D_real: -0.014231 Loss_D_fake 0.014509
[470/5000][275/535][48270] Loss_D: -0.026588 Loss_G: 0.009428 Loss_D_real: -0.009309 Loss_D_fake 0.017279
[470/5000][280/535][48271] Loss_D: -0.026595 Loss_G: 0.002028 Loss_D_real: 0.004289 Loss_D_fake 0.030884
[470/5000][285/535][48272] Loss_D: -0.026904 Loss_G: 0.018467 Loss_D_real: -0.024214 Loss_D_fake 0.002690
[470/5000][290/535][48273] Loss_D: -0.028390 Loss_G: -0.001963 Loss_D_real: -0.009452 Loss_D_fake 0.018938
[470/5000][295/535][48274] Loss_D: -0.027252 Loss_G: 0.028449 Loss_D_real: -0.033222 Loss_D_fake -0.005970
[470/5000][300/535][48275] Loss_D: -0.027622 Loss_G: 0.012841 Loss_D_real: -0.018731 Loss_D_fake 0.008891
[470/5000][305/535][48276] Loss_D: -0.027092 Loss_G: 0.021699 Loss_D_real: -0.018433 Loss_D_fake 0.008658
[470/5000][310/535][48277] Loss_D: -0.027763 Loss_G: 0.009923 Loss_D_real: -0.016081 Loss_D_fake 0.011682
[470/5000][315/535][48278] Loss_D: -0.027231 Loss_G: 0.008091 Loss_D_real: -0.016421 Loss_D_fake 0.010811
[470/5000][320/535][48279] Loss_D: -0.026514 Loss_G: 0.031376 Loss_D_real: -0.021617 Loss_D_fake 0.004897
[470/5000][325/535][48280] Loss_D: -0.027450 Loss_G: -0.009083 Loss_D_real: -0.000525 Loss_D_fake 0.026926
[470/5000][330/535][48281] Loss_D: -0.027752 Loss_G: 0.005550 Loss_D_real: -0.017255 Loss_D_fake 0.010497
[470/5000][335/535][48282] Loss_D: -0.026482 Loss_G: 0.045555 Loss_D_real: -0.035012 Loss_D_fake -0.008531
[470/5000][340/535][48283] Loss_D: -0.027821 Loss_G: 0.000972 Loss_D_real: -0.002865 Loss_D_fake 0.024956
[470/5000][345/535][48284] Loss_D: -0.025684 Loss_G: -0.010720 Loss_D_real: -0.000239 Loss_D_fake 0.025445
[470/5000][350/535][48285] Loss_D: -0.025659 Loss_G: 0.033268 Loss_D_real: -0.031420 Loss_D_fake -0.005761
[470/5000][355/535][48286] Loss_D: -0.026354 Loss_G: 0.016419 Loss_D_real: -0.019843 Loss_D_fake 0.006511
[470/5000][360/535][48287] Loss_D: -0.027959 Loss_G: 0.008507 Loss_D_real: -0.023667 Loss_D_fake 0.004292
[470/5000][365/535][48288] Loss_D: -0.027269 Loss_G: -0.000638 Loss_D_real: -0.003161 Loss_D_fake 0.024108
[470/5000][370/535][48289] Loss_D: -0.026126 Loss_G: 0.008512 Loss_D_real: -0.014049 Loss_D_fake 0.012076
[470/5000][375/535][48290] Loss_D: -0.026943 Loss_G: 0.033291 Loss_D_real: -0.029310 Loss_D_fake -0.002367
[470/5000][380/535][48291] Loss_D: -0.027962 Loss_G: 0.026775 Loss_D_real: -0.017648 Loss_D_fake 0.010314
[470/5000][385/535][48292] Loss_D: -0.027308 Loss_G: 0.026669 Loss_D_real: -0.019684 Loss_D_fake 0.007624
[470/5000][390/535][48293] Loss_D: -0.027167 Loss_G: 0.027842 Loss_D_real: -0.030055 Loss_D_fake -0.002888
[470/5000][395/535][48294] Loss_D: -0.027228 Loss_G: -0.008402 Loss_D_real: -0.012329 Loss_D_fake 0.014899
[470/5000][400/535][48295] Loss_D: -0.024681 Loss_G: 0.035021 Loss_D_real: -0.033820 Loss_D_fake -0.009139
[470/5000][405/535][48296] Loss_D: -0.027553 Loss_G: 0.033164 Loss_D_real: -0.036039 Loss_D_fake -0.008486
[470/5000][410/535][48297] Loss_D: -0.029405 Loss_G: -0.009022 Loss_D_real: -0.011807 Loss_D_fake 0.017598
[470/5000][415/535][48298] Loss_D: -0.025506 Loss_G: 0.016012 Loss_D_real: -0.024931 Loss_D_fake 0.000574
[470/5000][420/535][48299] Loss_D: -0.025990 Loss_G: 0.031815 Loss_D_real: -0.032008 Loss_D_fake -0.006018
[470/5000][425/535][48300] Loss_D: -0.026404 Loss_G: -0.014100 Loss_D_real: -0.001245 Loss_D_fake 0.025158
[470/5000][430/535][48301] Loss_D: -0.026225 Loss_G: 0.017974 Loss_D_real: -0.028340 Loss_D_fake -0.002115
[470/5000][435/535][48302] Loss_D: -0.026092 Loss_G: 0.022026 Loss_D_real: -0.016471 Loss_D_fake 0.009621
[470/5000][440/535][48303] Loss_D: -0.027973 Loss_G: 0.010777 Loss_D_real: -0.017888 Loss_D_fake 0.010085
[470/5000][445/535][48304] Loss_D: -0.026613 Loss_G: 0.014120 Loss_D_real: -0.014241 Loss_D_fake 0.012372
[470/5000][450/535][48305] Loss_D: -0.029347 Loss_G: 0.015817 Loss_D_real: -0.024562 Loss_D_fake 0.004785
[470/5000][455/535][48306] Loss_D: -0.027669 Loss_G: 0.010279 Loss_D_real: -0.015417 Loss_D_fake 0.012252
[470/5000][460/535][48307] Loss_D: -0.027502 Loss_G: 0.019943 Loss_D_real: -0.020468 Loss_D_fake 0.007034
[470/5000][465/535][48308] Loss_D: -0.027068 Loss_G: 0.020173 Loss_D_real: -0.016739 Loss_D_fake 0.010329
[470/5000][470/535][48309] Loss_D: -0.027850 Loss_G: 0.037076 Loss_D_real: -0.027484 Loss_D_fake 0.000366
[470/5000][475/535][48310] Loss_D: -0.028174 Loss_G: 0.007728 Loss_D_real: -0.018864 Loss_D_fake 0.009310
[470/5000][480/535][48311] Loss_D: -0.027276 Loss_G: 0.006681 Loss_D_real: -0.017311 Loss_D_fake 0.009965
[470/5000][485/535][48312] Loss_D: -0.027776 Loss_G: 0.015530 Loss_D_real: -0.012795 Loss_D_fake 0.014981
[470/5000][490/535][48313] Loss_D: -0.027085 Loss_G: 0.002104 Loss_D_real: -0.006895 Loss_D_fake 0.020191
[470/5000][495/535][48314] Loss_D: -0.027458 Loss_G: 0.003831 Loss_D_real: -0.002344 Loss_D_fake 0.025114
[470/5000][500/535][48315] Loss_D: -0.026658 Loss_G: 0.008337 Loss_D_real: -0.005711 Loss_D_fake 0.020946
[470/5000][505/535][48316] Loss_D: -0.028412 Loss_G: 0.024376 Loss_D_real: -0.019766 Loss_D_fake 0.008646
[470/5000][510/535][48317] Loss_D: -0.026466 Loss_G: -0.006163 Loss_D_real: -0.004949 Loss_D_fake 0.021517
[470/5000][515/535][48318] Loss_D: -0.028134 Loss_G: 0.012825 Loss_D_real: -0.010243 Loss_D_fake 0.017891
[470/5000][520/535][48319] Loss_D: -0.026720 Loss_G: 0.036523 Loss_D_real: -0.033831 Loss_D_fake -0.007111
[470/5000][525/535][48320] Loss_D: -0.027867 Loss_G: 0.000693 Loss_D_real: -0.001431 Loss_D_fake 0.026436
[470/5000][530/535][48321] Loss_D: -0.026658 Loss_G: 0.021243 Loss_D_real: -0.014996 Loss_D_fake 0.011661
[470/5000][535/535][48322] Loss_D: -0.025923 Loss_G: -0.013746 Loss_D_real: 0.009007 Loss_D_fake 0.034931
[471/5000][5/535][48323] Loss_D: -0.026475 Loss_G: 0.008849 Loss_D_real: -0.024316 Loss_D_fake 0.002158
[471/5000][10/535][48324] Loss_D: -0.028050 Loss_G: 0.026753 Loss_D_real: -0.021937 Loss_D_fake 0.006113
[471/5000][15/535][48325] Loss_D: -0.027208 Loss_G: 0.013594 Loss_D_real: -0.022506 Loss_D_fake 0.004702
[471/5000][20/535][48326] Loss_D: -0.027260 Loss_G: 0.017040 Loss_D_real: -0.020058 Loss_D_fake 0.007202
[471/5000][25/535][48327] Loss_D: -0.027312 Loss_G: -0.002275 Loss_D_real: -0.003994 Loss_D_fake 0.023318
[471/5000][30/535][48328] Loss_D: -0.027599 Loss_G: 0.015868 Loss_D_real: -0.017544 Loss_D_fake 0.010056
[471/5000][35/535][48329] Loss_D: -0.026642 Loss_G: 0.029884 Loss_D_real: -0.024519 Loss_D_fake 0.002124
[471/5000][40/535][48330] Loss_D: -0.028359 Loss_G: 0.023829 Loss_D_real: -0.023550 Loss_D_fake 0.004810
[471/5000][45/535][48331] Loss_D: -0.027352 Loss_G: 0.020181 Loss_D_real: -0.017274 Loss_D_fake 0.010078
[471/5000][50/535][48332] Loss_D: -0.025645 Loss_G: 0.032165 Loss_D_real: -0.029785 Loss_D_fake -0.004140
[471/5000][55/535][48333] Loss_D: -0.028015 Loss_G: 0.008454 Loss_D_real: -0.022504 Loss_D_fake 0.005511
[471/5000][60/535][48334] Loss_D: -0.028458 Loss_G: 0.027673 Loss_D_real: -0.031561 Loss_D_fake -0.003103
[471/5000][65/535][48335] Loss_D: -0.028144 Loss_G: 0.028784 Loss_D_real: -0.018899 Loss_D_fake 0.009245
[471/5000][70/535][48336] Loss_D: -0.026790 Loss_G: 0.012198 Loss_D_real: -0.014619 Loss_D_fake 0.012172
[471/5000][75/535][48337] Loss_D: -0.027977 Loss_G: 0.025350 Loss_D_real: -0.038815 Loss_D_fake -0.010838
[471/5000][80/535][48338] Loss_D: -0.028010 Loss_G: 0.000838 Loss_D_real: -0.002080 Loss_D_fake 0.025930
[471/5000][85/535][48339] Loss_D: -0.029249 Loss_G: 0.012494 Loss_D_real: -0.023529 Loss_D_fake 0.005720
[471/5000][90/535][48340] Loss_D: -0.028464 Loss_G: 0.015200 Loss_D_real: -0.017016 Loss_D_fake 0.011448
[471/5000][95/535][48341] Loss_D: -0.026238 Loss_G: 0.034897 Loss_D_real: -0.039651 Loss_D_fake -0.013413
[471/5000][100/535][48342] Loss_D: -0.028539 Loss_G: 0.017783 Loss_D_real: -0.010250 Loss_D_fake 0.018289
[471/5000][105/535][48343] Loss_D: -0.028556 Loss_G: 0.025753 Loss_D_real: -0.032203 Loss_D_fake -0.003647
[471/5000][110/535][48344] Loss_D: -0.027425 Loss_G: 0.018302 Loss_D_real: -0.013438 Loss_D_fake 0.013988
[471/5000][115/535][48345] Loss_D: -0.027751 Loss_G: 0.002513 Loss_D_real: -0.009660 Loss_D_fake 0.018091
[471/5000][120/535][48346] Loss_D: -0.026555 Loss_G: 0.016463 Loss_D_real: -0.014452 Loss_D_fake 0.012103
[471/5000][125/535][48347] Loss_D: -0.027524 Loss_G: 0.003118 Loss_D_real: -0.001711 Loss_D_fake 0.025813
[471/5000][130/535][48348] Loss_D: -0.028175 Loss_G: 0.020735 Loss_D_real: -0.021715 Loss_D_fake 0.006460
[471/5000][135/535][48349] Loss_D: -0.027081 Loss_G: 0.015797 Loss_D_real: -0.016724 Loss_D_fake 0.010357
[471/5000][140/535][48350] Loss_D: -0.028849 Loss_G: 0.010635 Loss_D_real: -0.019407 Loss_D_fake 0.009441
[471/5000][145/535][48351] Loss_D: -0.026724 Loss_G: 0.016404 Loss_D_real: -0.015341 Loss_D_fake 0.011383
[471/5000][150/535][48352] Loss_D: -0.027106 Loss_G: 0.023690 Loss_D_real: -0.019234 Loss_D_fake 0.007872
[471/5000][155/535][48353] Loss_D: -0.027414 Loss_G: 0.001521 Loss_D_real: -0.008490 Loss_D_fake 0.018924
[471/5000][160/535][48354] Loss_D: -0.026504 Loss_G: 0.007763 Loss_D_real: -0.008175 Loss_D_fake 0.018328
[471/5000][165/535][48355] Loss_D: -0.027191 Loss_G: 0.005615 Loss_D_real: -0.006803 Loss_D_fake 0.020389
[471/5000][170/535][48356] Loss_D: -0.027658 Loss_G: 0.022892 Loss_D_real: -0.015095 Loss_D_fake 0.012563
[471/5000][175/535][48357] Loss_D: -0.026816 Loss_G: 0.015899 Loss_D_real: -0.013559 Loss_D_fake 0.013258
[471/5000][180/535][48358] Loss_D: -0.026398 Loss_G: 0.019695 Loss_D_real: -0.028624 Loss_D_fake -0.002226
[471/5000][185/535][48359] Loss_D: -0.027316 Loss_G: 0.003331 Loss_D_real: -0.014984 Loss_D_fake 0.012332
[471/5000][190/535][48360] Loss_D: -0.027625 Loss_G: -0.006955 Loss_D_real: -0.001661 Loss_D_fake 0.025964
[471/5000][195/535][48361] Loss_D: -0.027089 Loss_G: 0.027623 Loss_D_real: -0.029809 Loss_D_fake -0.002720
[471/5000][200/535][48362] Loss_D: -0.028526 Loss_G: 0.015935 Loss_D_real: -0.013428 Loss_D_fake 0.015099
[471/5000][205/535][48363] Loss_D: -0.027965 Loss_G: 0.009811 Loss_D_real: -0.019725 Loss_D_fake 0.008240
[471/5000][210/535][48364] Loss_D: -0.026728 Loss_G: 0.014358 Loss_D_real: -0.013085 Loss_D_fake 0.013643
[471/5000][215/535][48365] Loss_D: -0.027611 Loss_G: 0.018394 Loss_D_real: -0.011049 Loss_D_fake 0.016562
[471/5000][220/535][48366] Loss_D: -0.028577 Loss_G: 0.012813 Loss_D_real: -0.014158 Loss_D_fake 0.014419
[471/5000][225/535][48367] Loss_D: -0.027443 Loss_G: 0.024933 Loss_D_real: -0.022384 Loss_D_fake 0.005059
[471/5000][230/535][48368] Loss_D: -0.028980 Loss_G: 0.036190 Loss_D_real: -0.033910 Loss_D_fake -0.004930
[471/5000][235/535][48369] Loss_D: -0.026524 Loss_G: 0.025966 Loss_D_real: -0.017710 Loss_D_fake 0.008814
[471/5000][240/535][48370] Loss_D: -0.028403 Loss_G: 0.006221 Loss_D_real: -0.011086 Loss_D_fake 0.017318
[471/5000][245/535][48371] Loss_D: -0.028429 Loss_G: 0.003870 Loss_D_real: -0.007793 Loss_D_fake 0.020636
[471/5000][250/535][48372] Loss_D: -0.026611 Loss_G: 0.035653 Loss_D_real: -0.020525 Loss_D_fake 0.006086
[471/5000][255/535][48373] Loss_D: -0.028013 Loss_G: -0.002747 Loss_D_real: -0.010037 Loss_D_fake 0.017977
[471/5000][260/535][48374] Loss_D: -0.027869 Loss_G: 0.012123 Loss_D_real: -0.021596 Loss_D_fake 0.006273
[471/5000][265/535][48375] Loss_D: -0.027127 Loss_G: 0.004271 Loss_D_real: -0.007775 Loss_D_fake 0.019352
[471/5000][270/535][48376] Loss_D: -0.027871 Loss_G: 0.004348 Loss_D_real: -0.006226 Loss_D_fake 0.021644
[471/5000][275/535][48377] Loss_D: -0.028540 Loss_G: 0.016516 Loss_D_real: -0.023891 Loss_D_fake 0.004650
[471/5000][280/535][48378] Loss_D: -0.029317 Loss_G: 0.010833 Loss_D_real: -0.007086 Loss_D_fake 0.022231
[471/5000][285/535][48379] Loss_D: -0.028200 Loss_G: 0.031156 Loss_D_real: -0.027982 Loss_D_fake 0.000217
[471/5000][290/535][48380] Loss_D: -0.027658 Loss_G: -0.022453 Loss_D_real: -0.000697 Loss_D_fake 0.026962
[471/5000][295/535][48381] Loss_D: -0.026242 Loss_G: 0.016846 Loss_D_real: -0.018683 Loss_D_fake 0.007559
[471/5000][300/535][48382] Loss_D: -0.028100 Loss_G: 0.007579 Loss_D_real: -0.014768 Loss_D_fake 0.013332
[471/5000][305/535][48383] Loss_D: -0.026456 Loss_G: 0.017383 Loss_D_real: -0.022716 Loss_D_fake 0.003740
[471/5000][310/535][48384] Loss_D: -0.027426 Loss_G: 0.003002 Loss_D_real: -0.003007 Loss_D_fake 0.024420
[471/5000][315/535][48385] Loss_D: -0.025573 Loss_G: 0.033399 Loss_D_real: -0.041375 Loss_D_fake -0.015803
[471/5000][320/535][48386] Loss_D: -0.024998 Loss_G: -0.008930 Loss_D_real: 0.003036 Loss_D_fake 0.028035
[471/5000][325/535][48387] Loss_D: -0.026116 Loss_G: 0.009364 Loss_D_real: -0.024577 Loss_D_fake 0.001539
[471/5000][330/535][48388] Loss_D: -0.027764 Loss_G: -0.003340 Loss_D_real: 0.001365 Loss_D_fake 0.029129
[471/5000][335/535][48389] Loss_D: -0.025457 Loss_G: 0.004903 Loss_D_real: -0.018618 Loss_D_fake 0.006838
[471/5000][340/535][48390] Loss_D: -0.026924 Loss_G: 0.035895 Loss_D_real: -0.032865 Loss_D_fake -0.005941
[471/5000][345/535][48391] Loss_D: -0.027693 Loss_G: 0.006819 Loss_D_real: -0.024335 Loss_D_fake 0.003358
[471/5000][350/535][48392] Loss_D: -0.026006 Loss_G: 0.046096 Loss_D_real: -0.038704 Loss_D_fake -0.012698
[471/5000][355/535][48393] Loss_D: -0.026250 Loss_G: 0.000807 Loss_D_real: -0.013294 Loss_D_fake 0.012956
[471/5000][360/535][48394] Loss_D: -0.026050 Loss_G: -0.014527 Loss_D_real: -0.002104 Loss_D_fake 0.023946
[471/5000][365/535][48395] Loss_D: -0.026107 Loss_G: 0.028125 Loss_D_real: -0.026858 Loss_D_fake -0.000751
[471/5000][370/535][48396] Loss_D: -0.026215 Loss_G: 0.024065 Loss_D_real: -0.022187 Loss_D_fake 0.004027
[471/5000][375/535][48397] Loss_D: -0.026160 Loss_G: -0.003122 Loss_D_real: -0.009045 Loss_D_fake 0.017115
[471/5000][380/535][48398] Loss_D: -0.026306 Loss_G: 0.021419 Loss_D_real: -0.009876 Loss_D_fake 0.016430
[471/5000][385/535][48399] Loss_D: -0.026661 Loss_G: 0.026485 Loss_D_real: -0.025646 Loss_D_fake 0.001015
[471/5000][390/535][48400] Loss_D: -0.026243 Loss_G: 0.004889 Loss_D_real: -0.009440 Loss_D_fake 0.016803
[471/5000][395/535][48401] Loss_D: -0.026998 Loss_G: 0.008936 Loss_D_real: -0.013638 Loss_D_fake 0.013360
[471/5000][400/535][48402] Loss_D: -0.026644 Loss_G: -0.019146 Loss_D_real: 0.002445 Loss_D_fake 0.029089
[471/5000][405/535][48403] Loss_D: -0.027054 Loss_G: 0.026068 Loss_D_real: -0.024764 Loss_D_fake 0.002290
[471/5000][410/535][48404] Loss_D: -0.026163 Loss_G: 0.021285 Loss_D_real: -0.018766 Loss_D_fake 0.007396
[471/5000][415/535][48405] Loss_D: -0.027346 Loss_G: 0.003710 Loss_D_real: -0.024437 Loss_D_fake 0.002909
[471/5000][420/535][48406] Loss_D: -0.027258 Loss_G: 0.005651 Loss_D_real: -0.016039 Loss_D_fake 0.011219
[471/5000][425/535][48407] Loss_D: -0.027205 Loss_G: 0.015325 Loss_D_real: -0.015315 Loss_D_fake 0.011891
[471/5000][430/535][48408] Loss_D: -0.027616 Loss_G: 0.003353 Loss_D_real: -0.008004 Loss_D_fake 0.019612
[471/5000][435/535][48409] Loss_D: -0.027853 Loss_G: 0.020674 Loss_D_real: -0.027347 Loss_D_fake 0.000506
[471/5000][440/535][48410] Loss_D: -0.025392 Loss_G: -0.013658 Loss_D_real: 0.005012 Loss_D_fake 0.030404
[471/5000][445/535][48411] Loss_D: -0.024332 Loss_G: 0.024108 Loss_D_real: -0.031420 Loss_D_fake -0.007088
[471/5000][450/535][48412] Loss_D: -0.026358 Loss_G: -0.002057 Loss_D_real: -0.001194 Loss_D_fake 0.025164
[471/5000][455/535][48413] Loss_D: -0.026752 Loss_G: 0.016131 Loss_D_real: -0.022455 Loss_D_fake 0.004298
[471/5000][460/535][48414] Loss_D: -0.026802 Loss_G: 0.005710 Loss_D_real: -0.014154 Loss_D_fake 0.012648
[471/5000][465/535][48415] Loss_D: -0.026115 Loss_G: 0.034218 Loss_D_real: -0.022056 Loss_D_fake 0.004059
[471/5000][470/535][48416] Loss_D: -0.026763 Loss_G: 0.003262 Loss_D_real: -0.013431 Loss_D_fake 0.013332
[471/5000][475/535][48417] Loss_D: -0.028132 Loss_G: 0.017691 Loss_D_real: -0.018294 Loss_D_fake 0.009838
[471/5000][480/535][48418] Loss_D: -0.026421 Loss_G: 0.024578 Loss_D_real: -0.025998 Loss_D_fake 0.000423
[471/5000][485/535][48419] Loss_D: -0.028336 Loss_G: 0.012808 Loss_D_real: -0.019323 Loss_D_fake 0.009013
[471/5000][490/535][48420] Loss_D: -0.026173 Loss_G: 0.008351 Loss_D_real: -0.010745 Loss_D_fake 0.015429
[471/5000][495/535][48421] Loss_D: -0.026649 Loss_G: 0.004038 Loss_D_real: -0.009566 Loss_D_fake 0.017083
[471/5000][500/535][48422] Loss_D: -0.029323 Loss_G: 0.022399 Loss_D_real: -0.017805 Loss_D_fake 0.011518
[471/5000][505/535][48423] Loss_D: -0.026961 Loss_G: 0.019088 Loss_D_real: -0.026436 Loss_D_fake 0.000525
[471/5000][510/535][48424] Loss_D: -0.028547 Loss_G: 0.017708 Loss_D_real: -0.023388 Loss_D_fake 0.005159
[471/5000][515/535][48425] Loss_D: -0.028142 Loss_G: 0.015955 Loss_D_real: -0.008963 Loss_D_fake 0.019178
[471/5000][520/535][48426] Loss_D: -0.028510 Loss_G: 0.019718 Loss_D_real: -0.027004 Loss_D_fake 0.001506
[471/5000][525/535][48427] Loss_D: -0.027968 Loss_G: 0.005570 Loss_D_real: -0.002152 Loss_D_fake 0.025816
[471/5000][530/535][48428] Loss_D: -0.027224 Loss_G: 0.016348 Loss_D_real: -0.016324 Loss_D_fake 0.010899
[471/5000][535/535][48429] Loss_D: -0.025484 Loss_G: 0.028164 Loss_D_real: -0.026276 Loss_D_fake -0.000792
[472/5000][5/535][48430] Loss_D: -0.027690 Loss_G: 0.023937 Loss_D_real: -0.021704 Loss_D_fake 0.005986
[472/5000][10/535][48431] Loss_D: -0.027819 Loss_G: -0.011023 Loss_D_real: -0.007277 Loss_D_fake 0.020541
[472/5000][15/535][48432] Loss_D: -0.027289 Loss_G: 0.006890 Loss_D_real: 0.000279 Loss_D_fake 0.027567
[472/5000][20/535][48433] Loss_D: -0.026762 Loss_G: 0.003742 Loss_D_real: -0.007139 Loss_D_fake 0.019623
[472/5000][25/535][48434] Loss_D: -0.027996 Loss_G: -0.001481 Loss_D_real: -0.000184 Loss_D_fake 0.027812
[472/5000][30/535][48435] Loss_D: -0.026809 Loss_G: 0.003831 Loss_D_real: -0.009897 Loss_D_fake 0.016913
[472/5000][35/535][48436] Loss_D: -0.027792 Loss_G: 0.031215 Loss_D_real: -0.024354 Loss_D_fake 0.003438
[472/5000][40/535][48437] Loss_D: -0.027762 Loss_G: 0.021842 Loss_D_real: -0.017815 Loss_D_fake 0.009947
[472/5000][45/535][48438] Loss_D: -0.027493 Loss_G: -0.011634 Loss_D_real: -0.004546 Loss_D_fake 0.022947
[472/5000][50/535][48439] Loss_D: -0.027671 Loss_G: 0.009444 Loss_D_real: -0.020002 Loss_D_fake 0.007669
[472/5000][55/535][48440] Loss_D: -0.026941 Loss_G: 0.030546 Loss_D_real: -0.030685 Loss_D_fake -0.003743
[472/5000][60/535][48441] Loss_D: -0.026945 Loss_G: -0.005942 Loss_D_real: -0.000519 Loss_D_fake 0.026426
[472/5000][65/535][48442] Loss_D: -0.027545 Loss_G: 0.016964 Loss_D_real: -0.018108 Loss_D_fake 0.009437
[472/5000][70/535][48443] Loss_D: -0.025845 Loss_G: 0.037274 Loss_D_real: -0.034786 Loss_D_fake -0.008941
[472/5000][75/535][48444] Loss_D: -0.026767 Loss_G: 0.024793 Loss_D_real: -0.030472 Loss_D_fake -0.003705
[472/5000][80/535][48445] Loss_D: -0.027038 Loss_G: 0.005930 Loss_D_real: -0.010292 Loss_D_fake 0.016747
[472/5000][85/535][48446] Loss_D: -0.026445 Loss_G: 0.026854 Loss_D_real: -0.036675 Loss_D_fake -0.010230
[472/5000][90/535][48447] Loss_D: -0.027342 Loss_G: 0.020435 Loss_D_real: -0.016159 Loss_D_fake 0.011183
[472/5000][95/535][48448] Loss_D: -0.027633 Loss_G: -0.013659 Loss_D_real: 0.000083 Loss_D_fake 0.027715
[472/5000][100/535][48449] Loss_D: -0.026159 Loss_G: 0.032755 Loss_D_real: -0.022057 Loss_D_fake 0.004103
[472/5000][105/535][48450] Loss_D: -0.026901 Loss_G: -0.003576 Loss_D_real: -0.001305 Loss_D_fake 0.025596
[472/5000][110/535][48451] Loss_D: -0.027105 Loss_G: 0.009848 Loss_D_real: -0.019327 Loss_D_fake 0.007778
[472/5000][115/535][48452] Loss_D: -0.027369 Loss_G: 0.028835 Loss_D_real: -0.033132 Loss_D_fake -0.005764
[472/5000][120/535][48453] Loss_D: -0.028090 Loss_G: 0.016484 Loss_D_real: -0.022695 Loss_D_fake 0.005395
[472/5000][125/535][48454] Loss_D: -0.027429 Loss_G: 0.020760 Loss_D_real: -0.024505 Loss_D_fake 0.002924
[472/5000][130/535][48455] Loss_D: -0.027925 Loss_G: 0.004825 Loss_D_real: -0.010692 Loss_D_fake 0.017232
[472/5000][135/535][48456] Loss_D: -0.028382 Loss_G: 0.022758 Loss_D_real: -0.014695 Loss_D_fake 0.013687
[472/5000][140/535][48457] Loss_D: -0.026716 Loss_G: 0.011809 Loss_D_real: -0.017633 Loss_D_fake 0.009082
[472/5000][145/535][48458] Loss_D: -0.027644 Loss_G: 0.042750 Loss_D_real: -0.030229 Loss_D_fake -0.002585
[472/5000][150/535][48459] Loss_D: -0.027585 Loss_G: 0.011138 Loss_D_real: -0.003777 Loss_D_fake 0.023808
[472/5000][155/535][48460] Loss_D: -0.026614 Loss_G: 0.019635 Loss_D_real: -0.023130 Loss_D_fake 0.003484
[472/5000][160/535][48461] Loss_D: -0.026651 Loss_G: 0.024294 Loss_D_real: -0.025717 Loss_D_fake 0.000933
[472/5000][165/535][48462] Loss_D: -0.027137 Loss_G: 0.030937 Loss_D_real: -0.036454 Loss_D_fake -0.009318
[472/5000][170/535][48463] Loss_D: -0.028184 Loss_G: 0.001325 Loss_D_real: -0.007043 Loss_D_fake 0.021140
[472/5000][175/535][48464] Loss_D: -0.026659 Loss_G: 0.027329 Loss_D_real: -0.036449 Loss_D_fake -0.009790
[472/5000][180/535][48465] Loss_D: -0.026803 Loss_G: 0.004635 Loss_D_real: -0.006782 Loss_D_fake 0.020021
[472/5000][185/535][48466] Loss_D: -0.026141 Loss_G: 0.021087 Loss_D_real: -0.024249 Loss_D_fake 0.001892
[472/5000][190/535][48467] Loss_D: -0.028298 Loss_G: 0.019587 Loss_D_real: -0.022320 Loss_D_fake 0.005978
[472/5000][195/535][48468] Loss_D: -0.027780 Loss_G: 0.023716 Loss_D_real: -0.027219 Loss_D_fake 0.000561
[472/5000][200/535][48469] Loss_D: -0.028481 Loss_G: 0.031454 Loss_D_real: -0.034403 Loss_D_fake -0.005922
[472/5000][205/535][48470] Loss_D: -0.027220 Loss_G: -0.006589 Loss_D_real: -0.010585 Loss_D_fake 0.016635
[472/5000][210/535][48471] Loss_D: -0.028381 Loss_G: 0.008155 Loss_D_real: -0.005061 Loss_D_fake 0.023320
[472/5000][215/535][48472] Loss_D: -0.027261 Loss_G: 0.029755 Loss_D_real: -0.027798 Loss_D_fake -0.000537
[472/5000][220/535][48473] Loss_D: -0.025153 Loss_G: -0.011207 Loss_D_real: 0.009770 Loss_D_fake 0.034923
[472/5000][225/535][48474] Loss_D: -0.025580 Loss_G: 0.031479 Loss_D_real: -0.033151 Loss_D_fake -0.007571
[472/5000][230/535][48475] Loss_D: -0.026680 Loss_G: 0.010212 Loss_D_real: -0.017172 Loss_D_fake 0.009508
[472/5000][235/535][48476] Loss_D: -0.026968 Loss_G: 0.011629 Loss_D_real: -0.011796 Loss_D_fake 0.015172
[472/5000][240/535][48477] Loss_D: -0.027818 Loss_G: 0.015903 Loss_D_real: -0.018403 Loss_D_fake 0.009415
[472/5000][245/535][48478] Loss_D: -0.027832 Loss_G: -0.009728 Loss_D_real: -0.011689 Loss_D_fake 0.016142
[472/5000][250/535][48479] Loss_D: -0.027767 Loss_G: -0.000002 Loss_D_real: -0.010931 Loss_D_fake 0.016836
[472/5000][255/535][48480] Loss_D: -0.027060 Loss_G: 0.009894 Loss_D_real: -0.012187 Loss_D_fake 0.014873
[472/5000][260/535][48481] Loss_D: -0.025946 Loss_G: 0.036276 Loss_D_real: -0.041250 Loss_D_fake -0.015304
[472/5000][265/535][48482] Loss_D: -0.027834 Loss_G: 0.014612 Loss_D_real: -0.025325 Loss_D_fake 0.002508
[472/5000][270/535][48483] Loss_D: -0.026422 Loss_G: 0.019840 Loss_D_real: -0.021430 Loss_D_fake 0.004993
[472/5000][275/535][48484] Loss_D: -0.027792 Loss_G: -0.006680 Loss_D_real: -0.012106 Loss_D_fake 0.015687
[472/5000][280/535][48485] Loss_D: -0.027637 Loss_G: 0.000674 Loss_D_real: 0.000680 Loss_D_fake 0.028317
[472/5000][285/535][48486] Loss_D: -0.026890 Loss_G: 0.028919 Loss_D_real: -0.029740 Loss_D_fake -0.002850
[472/5000][290/535][48487] Loss_D: -0.026955 Loss_G: 0.035816 Loss_D_real: -0.031157 Loss_D_fake -0.004202
[472/5000][295/535][48488] Loss_D: -0.027860 Loss_G: -0.004357 Loss_D_real: -0.000941 Loss_D_fake 0.026919
[472/5000][300/535][48489] Loss_D: -0.028801 Loss_G: 0.018277 Loss_D_real: -0.017416 Loss_D_fake 0.011385
[472/5000][305/535][48490] Loss_D: -0.027280 Loss_G: -0.013654 Loss_D_real: -0.001717 Loss_D_fake 0.025563
[472/5000][310/535][48491] Loss_D: -0.025556 Loss_G: 0.034081 Loss_D_real: -0.033391 Loss_D_fake -0.007835
[472/5000][315/535][48492] Loss_D: -0.025909 Loss_G: -0.013784 Loss_D_real: 0.000759 Loss_D_fake 0.026668
[472/5000][320/535][48493] Loss_D: -0.026465 Loss_G: 0.026564 Loss_D_real: -0.027782 Loss_D_fake -0.001317
[472/5000][325/535][48494] Loss_D: -0.026824 Loss_G: 0.000159 Loss_D_real: -0.008639 Loss_D_fake 0.018185
[472/5000][330/535][48495] Loss_D: -0.026442 Loss_G: 0.007423 Loss_D_real: -0.021138 Loss_D_fake 0.005304
[472/5000][335/535][48496] Loss_D: -0.027164 Loss_G: 0.005498 Loss_D_real: -0.007758 Loss_D_fake 0.019406
[472/5000][340/535][48497] Loss_D: -0.027531 Loss_G: 0.014454 Loss_D_real: -0.012312 Loss_D_fake 0.015219
[472/5000][345/535][48498] Loss_D: -0.026284 Loss_G: 0.003870 Loss_D_real: -0.019156 Loss_D_fake 0.007128
[472/5000][350/535][48499] Loss_D: -0.026556 Loss_G: 0.035782 Loss_D_real: -0.030530 Loss_D_fake -0.003974
[472/5000][355/535][48500] Loss_D: -0.026823 Loss_G: 0.008466 Loss_D_real: -0.015992 Loss_D_fake 0.010831
[472/5000][455/535][48501] Loss_D: -0.030883 Loss_G: 0.019233 Loss_D_real: -0.021444 Loss_D_fake 0.009439
[472/5000][460/535][48502] Loss_D: -0.029051 Loss_G: 0.012341 Loss_D_real: -0.011520 Loss_D_fake 0.017531
[472/5000][465/535][48503] Loss_D: -0.026387 Loss_G: 0.016412 Loss_D_real: -0.016272 Loss_D_fake 0.010115
[472/5000][470/535][48504] Loss_D: -0.025206 Loss_G: 0.018633 Loss_D_real: -0.022825 Loss_D_fake 0.002381
[472/5000][475/535][48505] Loss_D: -0.025997 Loss_G: 0.011155 Loss_D_real: -0.012819 Loss_D_fake 0.013178
[472/5000][480/535][48506] Loss_D: -0.026022 Loss_G: 0.017535 Loss_D_real: -0.020611 Loss_D_fake 0.005411
[472/5000][485/535][48507] Loss_D: -0.025289 Loss_G: 0.020353 Loss_D_real: -0.023649 Loss_D_fake 0.001640
[472/5000][490/535][48508] Loss_D: -0.026572 Loss_G: 0.004580 Loss_D_real: -0.011341 Loss_D_fake 0.015232
[472/5000][495/535][48509] Loss_D: -0.025102 Loss_G: 0.027207 Loss_D_real: -0.026608 Loss_D_fake -0.001505
[472/5000][500/535][48510] Loss_D: -0.026855 Loss_G: 0.001664 Loss_D_real: -0.014840 Loss_D_fake 0.012015
[472/5000][505/535][48511] Loss_D: -0.027694 Loss_G: 0.020518 Loss_D_real: -0.024294 Loss_D_fake 0.003400
[472/5000][510/535][48512] Loss_D: -0.028729 Loss_G: 0.001451 Loss_D_real: -0.013578 Loss_D_fake 0.015151
[472/5000][515/535][48513] Loss_D: -0.026410 Loss_G: 0.003915 Loss_D_real: -0.006492 Loss_D_fake 0.019918
[472/5000][520/535][48514] Loss_D: -0.027434 Loss_G: 0.016401 Loss_D_real: -0.009873 Loss_D_fake 0.017561
[472/5000][525/535][48515] Loss_D: -0.026532 Loss_G: 0.022125 Loss_D_real: -0.026717 Loss_D_fake -0.000185
[472/5000][530/535][48516] Loss_D: -0.027145 Loss_G: 0.027932 Loss_D_real: -0.038503 Loss_D_fake -0.011358
[472/5000][535/535][48517] Loss_D: -0.029675 Loss_G: -0.014592 Loss_D_real: -0.018609 Loss_D_fake 0.011067
[473/5000][5/535][48518] Loss_D: -0.026952 Loss_G: 0.004244 Loss_D_real: -0.018344 Loss_D_fake 0.008608
[473/5000][10/535][48519] Loss_D: -0.028195 Loss_G: 0.005808 Loss_D_real: -0.020139 Loss_D_fake 0.008056
[473/5000][15/535][48520] Loss_D: -0.027634 Loss_G: 0.012071 Loss_D_real: -0.011231 Loss_D_fake 0.016403
[473/5000][20/535][48521] Loss_D: -0.026427 Loss_G: 0.033157 Loss_D_real: -0.028119 Loss_D_fake -0.001692
[473/5000][25/535][48522] Loss_D: -0.027947 Loss_G: 0.017298 Loss_D_real: -0.009224 Loss_D_fake 0.018724
[473/5000][30/535][48523] Loss_D: -0.026613 Loss_G: 0.019629 Loss_D_real: -0.019162 Loss_D_fake 0.007451
[473/5000][35/535][48524] Loss_D: -0.028600 Loss_G: 0.012224 Loss_D_real: -0.009952 Loss_D_fake 0.018648
[473/5000][40/535][48525] Loss_D: -0.027361 Loss_G: -0.004761 Loss_D_real: -0.005530 Loss_D_fake 0.021832
[473/5000][45/535][48526] Loss_D: -0.028767 Loss_G: -0.000264 Loss_D_real: -0.009682 Loss_D_fake 0.019084
[473/5000][50/535][48527] Loss_D: -0.027581 Loss_G: 0.027310 Loss_D_real: -0.016856 Loss_D_fake 0.010725
[473/5000][55/535][48528] Loss_D: -0.027799 Loss_G: 0.016269 Loss_D_real: -0.025499 Loss_D_fake 0.002300
[473/5000][60/535][48529] Loss_D: -0.027757 Loss_G: 0.019356 Loss_D_real: -0.017239 Loss_D_fake 0.010518
[473/5000][65/535][48530] Loss_D: -0.028821 Loss_G: 0.001509 Loss_D_real: -0.003750 Loss_D_fake 0.025071
[473/5000][70/535][48531] Loss_D: -0.027806 Loss_G: 0.011731 Loss_D_real: -0.015643 Loss_D_fake 0.012163
[473/5000][75/535][48532] Loss_D: -0.026949 Loss_G: 0.043753 Loss_D_real: -0.042433 Loss_D_fake -0.015484
[473/5000][80/535][48533] Loss_D: -0.026667 Loss_G: 0.006306 Loss_D_real: -0.017176 Loss_D_fake 0.009491
[473/5000][85/535][48534] Loss_D: -0.028081 Loss_G: 0.010894 Loss_D_real: -0.021497 Loss_D_fake 0.006584
[473/5000][90/535][48535] Loss_D: -0.027314 Loss_G: 0.024515 Loss_D_real: -0.023493 Loss_D_fake 0.003820
[473/5000][95/535][48536] Loss_D: -0.026726 Loss_G: 0.028286 Loss_D_real: -0.031832 Loss_D_fake -0.005105
[473/5000][100/535][48537] Loss_D: -0.029038 Loss_G: 0.016561 Loss_D_real: -0.015894 Loss_D_fake 0.013144
[473/5000][105/535][48538] Loss_D: -0.028569 Loss_G: -0.016018 Loss_D_real: -0.001348 Loss_D_fake 0.027221
[473/5000][110/535][48539] Loss_D: -0.027186 Loss_G: 0.008994 Loss_D_real: -0.013153 Loss_D_fake 0.014033
[473/5000][115/535][48540] Loss_D: -0.028056 Loss_G: -0.004629 Loss_D_real: -0.007809 Loss_D_fake 0.020248
[473/5000][120/535][48541] Loss_D: -0.026141 Loss_G: -0.011709 Loss_D_real: -0.006214 Loss_D_fake 0.019927
[473/5000][125/535][48542] Loss_D: -0.025648 Loss_G: 0.034905 Loss_D_real: -0.029354 Loss_D_fake -0.003706
[473/5000][130/535][48543] Loss_D: -0.027566 Loss_G: 0.027122 Loss_D_real: -0.023644 Loss_D_fake 0.003922
[473/5000][135/535][48544] Loss_D: -0.027284 Loss_G: 0.019848 Loss_D_real: -0.020111 Loss_D_fake 0.007173
[473/5000][140/535][48545] Loss_D: -0.025853 Loss_G: 0.021768 Loss_D_real: -0.011280 Loss_D_fake 0.014573
[473/5000][145/535][48546] Loss_D: -0.025751 Loss_G: 0.028299 Loss_D_real: -0.031103 Loss_D_fake -0.005353
[473/5000][150/535][48547] Loss_D: -0.027403 Loss_G: 0.020813 Loss_D_real: -0.012442 Loss_D_fake 0.014961
[473/5000][155/535][48548] Loss_D: -0.027710 Loss_G: 0.008939 Loss_D_real: -0.017985 Loss_D_fake 0.009725
[473/5000][160/535][48549] Loss_D: -0.028126 Loss_G: 0.020312 Loss_D_real: -0.014325 Loss_D_fake 0.013801
[473/5000][165/535][48550] Loss_D: -0.027201 Loss_G: 0.009255 Loss_D_real: -0.008318 Loss_D_fake 0.018883
[473/5000][170/535][48551] Loss_D: -0.025994 Loss_G: 0.008854 Loss_D_real: -0.015345 Loss_D_fake 0.010648
[473/5000][175/535][48552] Loss_D: -0.027404 Loss_G: 0.011976 Loss_D_real: -0.015553 Loss_D_fake 0.011851
[473/5000][180/535][48553] Loss_D: -0.028230 Loss_G: 0.026624 Loss_D_real: -0.015231 Loss_D_fake 0.012999
[473/5000][185/535][48554] Loss_D: -0.027164 Loss_G: 0.005474 Loss_D_real: -0.009074 Loss_D_fake 0.018090
[473/5000][190/535][48555] Loss_D: -0.027073 Loss_G: 0.009838 Loss_D_real: -0.007019 Loss_D_fake 0.020053
[473/5000][195/535][48556] Loss_D: -0.027636 Loss_G: 0.021381 Loss_D_real: -0.030832 Loss_D_fake -0.003196
[473/5000][200/535][48557] Loss_D: -0.026854 Loss_G: 0.021433 Loss_D_real: -0.015923 Loss_D_fake 0.010931
[473/5000][205/535][48558] Loss_D: -0.027161 Loss_G: -0.000695 Loss_D_real: -0.012614 Loss_D_fake 0.014547
[473/5000][210/535][48559] Loss_D: -0.025774 Loss_G: 0.031670 Loss_D_real: -0.023247 Loss_D_fake 0.002528
[473/5000][215/535][48560] Loss_D: -0.028378 Loss_G: -0.013859 Loss_D_real: -0.002359 Loss_D_fake 0.026019
[473/5000][220/535][48561] Loss_D: -0.026341 Loss_G: 0.014766 Loss_D_real: -0.024221 Loss_D_fake 0.002120
[473/5000][225/535][48562] Loss_D: -0.027440 Loss_G: 0.019612 Loss_D_real: -0.029215 Loss_D_fake -0.001774
[473/5000][230/535][48563] Loss_D: -0.027634 Loss_G: 0.007111 Loss_D_real: -0.002801 Loss_D_fake 0.024833
[473/5000][235/535][48564] Loss_D: -0.027422 Loss_G: 0.022058 Loss_D_real: -0.021404 Loss_D_fake 0.006018
[473/5000][240/535][48565] Loss_D: -0.026672 Loss_G: 0.024065 Loss_D_real: -0.027017 Loss_D_fake -0.000346
[473/5000][245/535][48566] Loss_D: -0.027346 Loss_G: 0.011103 Loss_D_real: -0.018426 Loss_D_fake 0.008920
[473/5000][250/535][48567] Loss_D: -0.027402 Loss_G: 0.003064 Loss_D_real: -0.008593 Loss_D_fake 0.018809
[473/5000][255/535][48568] Loss_D: -0.026567 Loss_G: 0.033331 Loss_D_real: -0.031760 Loss_D_fake -0.005193
[473/5000][260/535][48569] Loss_D: -0.027878 Loss_G: 0.005655 Loss_D_real: -0.013130 Loss_D_fake 0.014748
[473/5000][265/535][48570] Loss_D: -0.025902 Loss_G: 0.028140 Loss_D_real: -0.030937 Loss_D_fake -0.005034
[473/5000][270/535][48571] Loss_D: -0.025833 Loss_G: -0.001740 Loss_D_real: -0.012397 Loss_D_fake 0.013436
[473/5000][275/535][48572] Loss_D: -0.027094 Loss_G: 0.022338 Loss_D_real: -0.015175 Loss_D_fake 0.011919
[473/5000][280/535][48573] Loss_D: -0.027558 Loss_G: 0.021520 Loss_D_real: -0.022439 Loss_D_fake 0.005119
[473/5000][285/535][48574] Loss_D: -0.028418 Loss_G: -0.003510 Loss_D_real: -0.006088 Loss_D_fake 0.022330
[473/5000][290/535][48575] Loss_D: -0.026521 Loss_G: 0.030328 Loss_D_real: -0.020963 Loss_D_fake 0.005558
[473/5000][295/535][48576] Loss_D: -0.025369 Loss_G: -0.005722 Loss_D_real: 0.009353 Loss_D_fake 0.034722
[473/5000][300/535][48577] Loss_D: -0.025978 Loss_G: 0.004453 Loss_D_real: -0.014541 Loss_D_fake 0.011437
[473/5000][305/535][48578] Loss_D: -0.024745 Loss_G: -0.010740 Loss_D_real: -0.006124 Loss_D_fake 0.018621
[473/5000][310/535][48579] Loss_D: -0.028041 Loss_G: 0.004795 Loss_D_real: -0.012254 Loss_D_fake 0.015787
[473/5000][315/535][48580] Loss_D: -0.027000 Loss_G: 0.008898 Loss_D_real: -0.014745 Loss_D_fake 0.012255
[473/5000][320/535][48581] Loss_D: -0.026432 Loss_G: -0.006560 Loss_D_real: -0.011456 Loss_D_fake 0.014977
[473/5000][325/535][48582] Loss_D: -0.024978 Loss_G: 0.019190 Loss_D_real: -0.029678 Loss_D_fake -0.004701
[473/5000][330/535][48583] Loss_D: -0.028206 Loss_G: 0.011465 Loss_D_real: -0.017917 Loss_D_fake 0.010289
[473/5000][335/535][48584] Loss_D: -0.026784 Loss_G: 0.022932 Loss_D_real: -0.011487 Loss_D_fake 0.015297
[473/5000][340/535][48585] Loss_D: -0.027813 Loss_G: 0.018135 Loss_D_real: -0.012316 Loss_D_fake 0.015496
[473/5000][345/535][48586] Loss_D: -0.028418 Loss_G: 0.008587 Loss_D_real: -0.022212 Loss_D_fake 0.006206
[473/5000][350/535][48587] Loss_D: -0.026783 Loss_G: 0.013975 Loss_D_real: -0.018429 Loss_D_fake 0.008354
[473/5000][355/535][48588] Loss_D: -0.027066 Loss_G: 0.034331 Loss_D_real: -0.029864 Loss_D_fake -0.002798
[473/5000][360/535][48589] Loss_D: -0.027682 Loss_G: -0.004378 Loss_D_real: -0.007764 Loss_D_fake 0.019918
[473/5000][365/535][48590] Loss_D: -0.027498 Loss_G: 0.011683 Loss_D_real: -0.014308 Loss_D_fake 0.013190
[473/5000][370/535][48591] Loss_D: -0.027724 Loss_G: 0.018646 Loss_D_real: -0.016326 Loss_D_fake 0.011398
[473/5000][375/535][48592] Loss_D: -0.027361 Loss_G: 0.000345 Loss_D_real: -0.013159 Loss_D_fake 0.014203
[473/5000][380/535][48593] Loss_D: -0.028620 Loss_G: 0.003665 Loss_D_real: -0.000860 Loss_D_fake 0.027760
[473/5000][385/535][48594] Loss_D: -0.025828 Loss_G: 0.031331 Loss_D_real: -0.036443 Loss_D_fake -0.010615
[473/5000][390/535][48595] Loss_D: -0.026543 Loss_G: 0.039544 Loss_D_real: -0.037739 Loss_D_fake -0.011195
[473/5000][395/535][48596] Loss_D: -0.027440 Loss_G: 0.010381 Loss_D_real: -0.016893 Loss_D_fake 0.010547
[473/5000][400/535][48597] Loss_D: -0.028308 Loss_G: 0.023425 Loss_D_real: -0.026255 Loss_D_fake 0.002053
[473/5000][405/535][48598] Loss_D: -0.027292 Loss_G: -0.001640 Loss_D_real: -0.010116 Loss_D_fake 0.017176
[473/5000][410/535][48599] Loss_D: -0.027029 Loss_G: 0.021124 Loss_D_real: -0.029814 Loss_D_fake -0.002784
[473/5000][415/535][48600] Loss_D: -0.026950 Loss_G: 0.018255 Loss_D_real: -0.028538 Loss_D_fake -0.001588
[473/5000][420/535][48601] Loss_D: -0.026237 Loss_G: -0.001509 Loss_D_real: -0.002477 Loss_D_fake 0.023760
[473/5000][425/535][48602] Loss_D: -0.027340 Loss_G: 0.017557 Loss_D_real: -0.013207 Loss_D_fake 0.014133
[473/5000][430/535][48603] Loss_D: -0.026999 Loss_G: 0.027151 Loss_D_real: -0.027807 Loss_D_fake -0.000808
[473/5000][435/535][48604] Loss_D: -0.027446 Loss_G: 0.002606 Loss_D_real: -0.010824 Loss_D_fake 0.016623
[473/5000][440/535][48605] Loss_D: -0.027194 Loss_G: 0.024533 Loss_D_real: -0.022710 Loss_D_fake 0.004484
[473/5000][445/535][48606] Loss_D: -0.026157 Loss_G: -0.002121 Loss_D_real: -0.001279 Loss_D_fake 0.024878
[473/5000][450/535][48607] Loss_D: -0.026079 Loss_G: -0.004054 Loss_D_real: -0.013529 Loss_D_fake 0.012551
[473/5000][455/535][48608] Loss_D: -0.026088 Loss_G: 0.004897 Loss_D_real: -0.017164 Loss_D_fake 0.008924
[473/5000][460/535][48609] Loss_D: -0.025657 Loss_G: 0.035587 Loss_D_real: -0.034170 Loss_D_fake -0.008513
[473/5000][465/535][48610] Loss_D: -0.026893 Loss_G: 0.016546 Loss_D_real: -0.026813 Loss_D_fake 0.000080
[473/5000][470/535][48611] Loss_D: -0.027684 Loss_G: 0.026315 Loss_D_real: -0.033956 Loss_D_fake -0.006273
[473/5000][475/535][48612] Loss_D: -0.028918 Loss_G: 0.002946 Loss_D_real: -0.009652 Loss_D_fake 0.019266
[473/5000][480/535][48613] Loss_D: -0.027198 Loss_G: 0.021473 Loss_D_real: -0.021859 Loss_D_fake 0.005340
[473/5000][485/535][48614] Loss_D: -0.027033 Loss_G: 0.006562 Loss_D_real: -0.011104 Loss_D_fake 0.015929
[473/5000][490/535][48615] Loss_D: -0.025593 Loss_G: -0.012325 Loss_D_real: 0.007107 Loss_D_fake 0.032700
[473/5000][495/535][48616] Loss_D: -0.027790 Loss_G: 0.026812 Loss_D_real: -0.022316 Loss_D_fake 0.005474
[473/5000][500/535][48617] Loss_D: -0.026625 Loss_G: 0.034177 Loss_D_real: -0.028602 Loss_D_fake -0.001977
[473/5000][505/535][48618] Loss_D: -0.027257 Loss_G: 0.000506 Loss_D_real: -0.001366 Loss_D_fake 0.025890
[473/5000][510/535][48619] Loss_D: -0.024865 Loss_G: 0.031459 Loss_D_real: -0.030425 Loss_D_fake -0.005560
[473/5000][515/535][48620] Loss_D: -0.027497 Loss_G: 0.002031 Loss_D_real: -0.011006 Loss_D_fake 0.016491
[473/5000][520/535][48621] Loss_D: -0.026051 Loss_G: -0.015238 Loss_D_real: 0.000121 Loss_D_fake 0.026171
[473/5000][525/535][48622] Loss_D: -0.026669 Loss_G: 0.023583 Loss_D_real: -0.019634 Loss_D_fake 0.007035
[473/5000][530/535][48623] Loss_D: -0.027888 Loss_G: 0.008239 Loss_D_real: -0.019519 Loss_D_fake 0.008369
[473/5000][535/535][48624] Loss_D: -0.026857 Loss_G: 0.032465 Loss_D_real: -0.023970 Loss_D_fake 0.002887
[474/5000][5/535][48625] Loss_D: -0.027418 Loss_G: 0.014257 Loss_D_real: -0.011271 Loss_D_fake 0.016148
[474/5000][10/535][48626] Loss_D: -0.027692 Loss_G: 0.025928 Loss_D_real: -0.018897 Loss_D_fake 0.008795
[474/5000][15/535][48627] Loss_D: -0.029141 Loss_G: 0.023137 Loss_D_real: -0.037362 Loss_D_fake -0.008221
[474/5000][20/535][48628] Loss_D: -0.026965 Loss_G: -0.012850 Loss_D_real: 0.003621 Loss_D_fake 0.030586
[474/5000][25/535][48629] Loss_D: -0.025720 Loss_G: 0.005622 Loss_D_real: -0.005746 Loss_D_fake 0.019975
[474/5000][30/535][48630] Loss_D: -0.027005 Loss_G: 0.016754 Loss_D_real: -0.027348 Loss_D_fake -0.000344
[474/5000][35/535][48631] Loss_D: -0.027725 Loss_G: 0.002070 Loss_D_real: -0.017798 Loss_D_fake 0.009927
[474/5000][40/535][48632] Loss_D: -0.027247 Loss_G: 0.021919 Loss_D_real: -0.019084 Loss_D_fake 0.008164
[474/5000][45/535][48633] Loss_D: -0.027047 Loss_G: 0.001494 Loss_D_real: -0.002668 Loss_D_fake 0.024378
[474/5000][50/535][48634] Loss_D: -0.026882 Loss_G: 0.011717 Loss_D_real: -0.014816 Loss_D_fake 0.012066
[474/5000][55/535][48635] Loss_D: -0.027398 Loss_G: -0.012268 Loss_D_real: -0.007895 Loss_D_fake 0.019502
[474/5000][60/535][48636] Loss_D: -0.026491 Loss_G: 0.020008 Loss_D_real: -0.025476 Loss_D_fake 0.001015
[474/5000][65/535][48637] Loss_D: -0.025974 Loss_G: 0.007451 Loss_D_real: -0.016620 Loss_D_fake 0.009354
[474/5000][70/535][48638] Loss_D: -0.027207 Loss_G: 0.021336 Loss_D_real: -0.025021 Loss_D_fake 0.002186
[474/5000][75/535][48639] Loss_D: -0.026724 Loss_G: 0.006183 Loss_D_real: -0.016146 Loss_D_fake 0.010579
[474/5000][80/535][48640] Loss_D: -0.027438 Loss_G: 0.022278 Loss_D_real: -0.020753 Loss_D_fake 0.006685
[474/5000][85/535][48641] Loss_D: -0.027615 Loss_G: 0.023859 Loss_D_real: -0.020920 Loss_D_fake 0.006695
[474/5000][90/535][48642] Loss_D: -0.026961 Loss_G: 0.022302 Loss_D_real: -0.025531 Loss_D_fake 0.001429
[474/5000][95/535][48643] Loss_D: -0.025506 Loss_G: 0.007284 Loss_D_real: -0.012841 Loss_D_fake 0.012665
[474/5000][100/535][48644] Loss_D: -0.027406 Loss_G: 0.020297 Loss_D_real: -0.023589 Loss_D_fake 0.003816
[474/5000][105/535][48645] Loss_D: -0.028384 Loss_G: 0.031135 Loss_D_real: -0.022790 Loss_D_fake 0.005594
[474/5000][110/535][48646] Loss_D: -0.027048 Loss_G: -0.005880 Loss_D_real: -0.002220 Loss_D_fake 0.024828
[474/5000][115/535][48647] Loss_D: -0.026668 Loss_G: 0.001779 Loss_D_real: -0.008494 Loss_D_fake 0.018174
[474/5000][120/535][48648] Loss_D: -0.027131 Loss_G: 0.020763 Loss_D_real: -0.031748 Loss_D_fake -0.004617
[474/5000][125/535][48649] Loss_D: -0.027559 Loss_G: 0.001506 Loss_D_real: -0.008250 Loss_D_fake 0.019309
[474/5000][130/535][48650] Loss_D: -0.026964 Loss_G: 0.006360 Loss_D_real: -0.014848 Loss_D_fake 0.012115
[474/5000][135/535][48651] Loss_D: -0.026789 Loss_G: 0.028496 Loss_D_real: -0.034049 Loss_D_fake -0.007260
[474/5000][140/535][48652] Loss_D: -0.028717 Loss_G: 0.012464 Loss_D_real: -0.023857 Loss_D_fake 0.004860
[474/5000][145/535][48653] Loss_D: -0.027971 Loss_G: 0.022620 Loss_D_real: -0.027222 Loss_D_fake 0.000749
[474/5000][150/535][48654] Loss_D: -0.026802 Loss_G: -0.011928 Loss_D_real: 0.002091 Loss_D_fake 0.028894
[474/5000][155/535][48655] Loss_D: -0.027204 Loss_G: 0.011279 Loss_D_real: -0.022899 Loss_D_fake 0.004305
[474/5000][160/535][48656] Loss_D: -0.026789 Loss_G: 0.030254 Loss_D_real: -0.030566 Loss_D_fake -0.003777
[474/5000][165/535][48657] Loss_D: -0.025856 Loss_G: 0.013933 Loss_D_real: -0.013718 Loss_D_fake 0.012138
[474/5000][170/535][48658] Loss_D: -0.026361 Loss_G: 0.011251 Loss_D_real: -0.017351 Loss_D_fake 0.009010
[474/5000][175/535][48659] Loss_D: -0.026737 Loss_G: 0.014572 Loss_D_real: -0.014955 Loss_D_fake 0.011783
[474/5000][180/535][48660] Loss_D: -0.028302 Loss_G: 0.031813 Loss_D_real: -0.028863 Loss_D_fake -0.000561
[474/5000][185/535][48661] Loss_D: -0.026366 Loss_G: 0.007001 Loss_D_real: -0.001984 Loss_D_fake 0.024382
[474/5000][190/535][48662] Loss_D: -0.026479 Loss_G: 0.018988 Loss_D_real: -0.019625 Loss_D_fake 0.006854
[474/5000][195/535][48663] Loss_D: -0.027808 Loss_G: 0.005024 Loss_D_real: 0.001783 Loss_D_fake 0.029590
[474/5000][200/535][48664] Loss_D: -0.027218 Loss_G: 0.025806 Loss_D_real: -0.027334 Loss_D_fake -0.000116
[474/5000][205/535][48665] Loss_D: -0.026234 Loss_G: 0.032424 Loss_D_real: -0.030551 Loss_D_fake -0.004316
[474/5000][210/535][48666] Loss_D: -0.028330 Loss_G: -0.000211 Loss_D_real: -0.004189 Loss_D_fake 0.024142
[474/5000][215/535][48667] Loss_D: -0.025567 Loss_G: 0.038451 Loss_D_real: -0.030077 Loss_D_fake -0.004510
[474/5000][220/535][48668] Loss_D: -0.027688 Loss_G: 0.013765 Loss_D_real: -0.015529 Loss_D_fake 0.012158
[474/5000][225/535][48669] Loss_D: -0.027301 Loss_G: 0.024222 Loss_D_real: -0.025161 Loss_D_fake 0.002140
[474/5000][230/535][48670] Loss_D: -0.026584 Loss_G: -0.010234 Loss_D_real: -0.003748 Loss_D_fake 0.022836
[474/5000][235/535][48671] Loss_D: -0.027152 Loss_G: 0.005285 Loss_D_real: -0.015197 Loss_D_fake 0.011954
[474/5000][240/535][48672] Loss_D: -0.026748 Loss_G: 0.027560 Loss_D_real: -0.018885 Loss_D_fake 0.007863
[474/5000][245/535][48673] Loss_D: -0.027170 Loss_G: 0.011727 Loss_D_real: -0.017168 Loss_D_fake 0.010002
[474/5000][250/535][48674] Loss_D: -0.026393 Loss_G: 0.023157 Loss_D_real: -0.021752 Loss_D_fake 0.004641
[474/5000][255/535][48675] Loss_D: -0.027486 Loss_G: 0.030979 Loss_D_real: -0.014382 Loss_D_fake 0.013104
[474/5000][260/535][48676] Loss_D: -0.025748 Loss_G: -0.011274 Loss_D_real: 0.004258 Loss_D_fake 0.030006
[474/5000][265/535][48677] Loss_D: -0.025568 Loss_G: 0.024455 Loss_D_real: -0.031247 Loss_D_fake -0.005678
[474/5000][270/535][48678] Loss_D: -0.026519 Loss_G: 0.021237 Loss_D_real: -0.010198 Loss_D_fake 0.016321
[474/5000][275/535][48679] Loss_D: -0.026574 Loss_G: 0.004092 Loss_D_real: -0.012774 Loss_D_fake 0.013801
[474/5000][280/535][48680] Loss_D: -0.027088 Loss_G: 0.031854 Loss_D_real: -0.024352 Loss_D_fake 0.002736
[474/5000][285/535][48681] Loss_D: -0.026574 Loss_G: 0.011959 Loss_D_real: -0.020651 Loss_D_fake 0.005923
[474/5000][290/535][48682] Loss_D: -0.028325 Loss_G: -0.002291 Loss_D_real: -0.017112 Loss_D_fake 0.011213
[474/5000][295/535][48683] Loss_D: -0.025709 Loss_G: 0.022089 Loss_D_real: -0.024724 Loss_D_fake 0.000984
[474/5000][300/535][48684] Loss_D: -0.026643 Loss_G: 0.001965 Loss_D_real: -0.012317 Loss_D_fake 0.014326
[474/5000][305/535][48685] Loss_D: -0.026313 Loss_G: 0.034161 Loss_D_real: -0.027961 Loss_D_fake -0.001648
[474/5000][310/535][48686] Loss_D: -0.027424 Loss_G: 0.017768 Loss_D_real: -0.016698 Loss_D_fake 0.010725
[474/5000][315/535][48687] Loss_D: -0.028901 Loss_G: 0.021027 Loss_D_real: -0.012434 Loss_D_fake 0.016466
[474/5000][320/535][48688] Loss_D: -0.027277 Loss_G: 0.001504 Loss_D_real: -0.001506 Loss_D_fake 0.025771
[474/5000][325/535][48689] Loss_D: -0.026326 Loss_G: 0.024479 Loss_D_real: -0.021142 Loss_D_fake 0.005184
[474/5000][330/535][48690] Loss_D: -0.026413 Loss_G: -0.005120 Loss_D_real: 0.013302 Loss_D_fake 0.039715
[474/5000][335/535][48691] Loss_D: -0.026629 Loss_G: 0.020939 Loss_D_real: -0.020285 Loss_D_fake 0.006344
[474/5000][340/535][48692] Loss_D: -0.026231 Loss_G: 0.015397 Loss_D_real: -0.013771 Loss_D_fake 0.012460
[474/5000][345/535][48693] Loss_D: -0.028156 Loss_G: 0.028385 Loss_D_real: -0.029583 Loss_D_fake -0.001426
[474/5000][350/535][48694] Loss_D: -0.028394 Loss_G: 0.023262 Loss_D_real: -0.029003 Loss_D_fake -0.000609
[474/5000][355/535][48695] Loss_D: -0.027811 Loss_G: 0.019438 Loss_D_real: -0.010685 Loss_D_fake 0.017126
[474/5000][360/535][48696] Loss_D: -0.029205 Loss_G: 0.014933 Loss_D_real: -0.008304 Loss_D_fake 0.020902
[474/5000][365/535][48697] Loss_D: -0.027406 Loss_G: 0.007043 Loss_D_real: -0.014455 Loss_D_fake 0.012951
[474/5000][370/535][48698] Loss_D: -0.024883 Loss_G: 0.035820 Loss_D_real: -0.040346 Loss_D_fake -0.015463
[474/5000][375/535][48699] Loss_D: -0.027881 Loss_G: 0.002296 Loss_D_real: -0.018245 Loss_D_fake 0.009636
[474/5000][380/535][48700] Loss_D: -0.025928 Loss_G: 0.019534 Loss_D_real: -0.021195 Loss_D_fake 0.004733
[474/5000][385/535][48701] Loss_D: -0.026629 Loss_G: 0.003863 Loss_D_real: -0.010055 Loss_D_fake 0.016574
[474/5000][390/535][48702] Loss_D: -0.027010 Loss_G: 0.014305 Loss_D_real: -0.004199 Loss_D_fake 0.022811
[474/5000][395/535][48703] Loss_D: -0.027201 Loss_G: 0.019313 Loss_D_real: -0.018179 Loss_D_fake 0.009022
[474/5000][400/535][48704] Loss_D: -0.026634 Loss_G: 0.007041 Loss_D_real: -0.017452 Loss_D_fake 0.009182
[474/5000][405/535][48705] Loss_D: -0.026957 Loss_G: 0.022640 Loss_D_real: -0.025293 Loss_D_fake 0.001664
[474/5000][410/535][48706] Loss_D: -0.026139 Loss_G: 0.029882 Loss_D_real: -0.038067 Loss_D_fake -0.011927
[474/5000][415/535][48707] Loss_D: -0.027290 Loss_G: 0.012714 Loss_D_real: -0.015163 Loss_D_fake 0.012127
[474/5000][420/535][48708] Loss_D: -0.027744 Loss_G: 0.015508 Loss_D_real: -0.015096 Loss_D_fake 0.012648
[474/5000][425/535][48709] Loss_D: -0.027303 Loss_G: 0.002435 Loss_D_real: -0.010706 Loss_D_fake 0.016597
[474/5000][430/535][48710] Loss_D: -0.026486 Loss_G: -0.004280 Loss_D_real: -0.002547 Loss_D_fake 0.023939
[474/5000][435/535][48711] Loss_D: -0.027840 Loss_G: 0.024475 Loss_D_real: -0.028669 Loss_D_fake -0.000829
[474/5000][440/535][48712] Loss_D: -0.026814 Loss_G: -0.005060 Loss_D_real: -0.005596 Loss_D_fake 0.021218
[474/5000][445/535][48713] Loss_D: -0.026849 Loss_G: -0.003587 Loss_D_real: -0.010022 Loss_D_fake 0.016827
[474/5000][450/535][48714] Loss_D: -0.026674 Loss_G: 0.011700 Loss_D_real: -0.017303 Loss_D_fake 0.009371
[474/5000][455/535][48715] Loss_D: -0.024871 Loss_G: 0.031753 Loss_D_real: -0.034428 Loss_D_fake -0.009557
[474/5000][460/535][48716] Loss_D: -0.026247 Loss_G: -0.006838 Loss_D_real: -0.002954 Loss_D_fake 0.023293
[474/5000][465/535][48717] Loss_D: -0.026667 Loss_G: 0.018124 Loss_D_real: -0.015677 Loss_D_fake 0.010989
[474/5000][470/535][48718] Loss_D: -0.026682 Loss_G: 0.018878 Loss_D_real: -0.012507 Loss_D_fake 0.014175
[474/5000][475/535][48719] Loss_D: -0.027196 Loss_G: 0.018920 Loss_D_real: -0.019386 Loss_D_fake 0.007810
[474/5000][480/535][48720] Loss_D: -0.026503 Loss_G: 0.016106 Loss_D_real: -0.014722 Loss_D_fake 0.011781
[474/5000][485/535][48721] Loss_D: -0.025340 Loss_G: -0.002511 Loss_D_real: -0.012498 Loss_D_fake 0.012842
[474/5000][490/535][48722] Loss_D: -0.026565 Loss_G: 0.027902 Loss_D_real: -0.029635 Loss_D_fake -0.003070
[474/5000][495/535][48723] Loss_D: -0.029021 Loss_G: 0.039014 Loss_D_real: -0.032202 Loss_D_fake -0.003181
[474/5000][500/535][48724] Loss_D: -0.026251 Loss_G: 0.022205 Loss_D_real: -0.027594 Loss_D_fake -0.001342
[474/5000][505/535][48725] Loss_D: -0.027043 Loss_G: 0.027692 Loss_D_real: -0.031110 Loss_D_fake -0.004067
[474/5000][510/535][48726] Loss_D: -0.027036 Loss_G: 0.003377 Loss_D_real: 0.000835 Loss_D_fake 0.027871
[474/5000][515/535][48727] Loss_D: -0.023850 Loss_G: 0.040737 Loss_D_real: -0.038971 Loss_D_fake -0.015120
[474/5000][520/535][48728] Loss_D: -0.027889 Loss_G: 0.005280 Loss_D_real: -0.022632 Loss_D_fake 0.005257
[474/5000][525/535][48729] Loss_D: -0.027219 Loss_G: 0.016543 Loss_D_real: -0.016696 Loss_D_fake 0.010524
[474/5000][530/535][48730] Loss_D: -0.027281 Loss_G: 0.001700 Loss_D_real: -0.010042 Loss_D_fake 0.017239
[474/5000][535/535][48731] Loss_D: -0.024256 Loss_G: 0.037039 Loss_D_real: -0.021905 Loss_D_fake 0.002350
[475/5000][5/535][48732] Loss_D: -0.026598 Loss_G: -0.007996 Loss_D_real: 0.000899 Loss_D_fake 0.027497
[475/5000][10/535][48733] Loss_D: -0.026710 Loss_G: 0.011781 Loss_D_real: -0.017456 Loss_D_fake 0.009254
[475/5000][15/535][48734] Loss_D: -0.027986 Loss_G: 0.024606 Loss_D_real: -0.026200 Loss_D_fake 0.001786
[475/5000][20/535][48735] Loss_D: -0.026179 Loss_G: -0.013081 Loss_D_real: 0.012631 Loss_D_fake 0.038811
[475/5000][25/535][48736] Loss_D: -0.025855 Loss_G: 0.004929 Loss_D_real: -0.018078 Loss_D_fake 0.007777
[475/5000][30/535][48737] Loss_D: -0.026142 Loss_G: 0.018614 Loss_D_real: -0.016595 Loss_D_fake 0.009547
[475/5000][35/535][48738] Loss_D: -0.026909 Loss_G: 0.026277 Loss_D_real: -0.021552 Loss_D_fake 0.005357
[475/5000][40/535][48739] Loss_D: -0.027346 Loss_G: 0.009764 Loss_D_real: -0.006384 Loss_D_fake 0.020961
[475/5000][45/535][48740] Loss_D: -0.027240 Loss_G: -0.001985 Loss_D_real: -0.005603 Loss_D_fake 0.021638
[475/5000][50/535][48741] Loss_D: -0.026570 Loss_G: 0.000210 Loss_D_real: -0.012891 Loss_D_fake 0.013678
[475/5000][55/535][48742] Loss_D: -0.028241 Loss_G: 0.013936 Loss_D_real: -0.010238 Loss_D_fake 0.018003
[475/5000][60/535][48743] Loss_D: -0.028838 Loss_G: 0.018523 Loss_D_real: -0.015519 Loss_D_fake 0.013320
[475/5000][65/535][48744] Loss_D: -0.028571 Loss_G: 0.008457 Loss_D_real: -0.017664 Loss_D_fake 0.010907
[475/5000][70/535][48745] Loss_D: -0.028827 Loss_G: 0.009652 Loss_D_real: -0.011479 Loss_D_fake 0.017347
[475/5000][75/535][48746] Loss_D: -0.028572 Loss_G: 0.025489 Loss_D_real: -0.025954 Loss_D_fake 0.002618
[475/5000][80/535][48747] Loss_D: -0.028052 Loss_G: 0.025763 Loss_D_real: -0.023511 Loss_D_fake 0.004541
[475/5000][85/535][48748] Loss_D: -0.028451 Loss_G: 0.014752 Loss_D_real: -0.009242 Loss_D_fake 0.019209
[475/5000][90/535][48749] Loss_D: -0.026805 Loss_G: 0.033492 Loss_D_real: -0.029379 Loss_D_fake -0.002574
[475/5000][95/535][48750] Loss_D: -0.027303 Loss_G: 0.006800 Loss_D_real: -0.011898 Loss_D_fake 0.015404
[475/5000][100/535][48751] Loss_D: -0.027683 Loss_G: 0.011638 Loss_D_real: -0.018985 Loss_D_fake 0.008698
[475/5000][105/535][48752] Loss_D: -0.026091 Loss_G: -0.011470 Loss_D_real: 0.005234 Loss_D_fake 0.031325
[475/5000][110/535][48753] Loss_D: -0.025413 Loss_G: 0.028311 Loss_D_real: -0.031780 Loss_D_fake -0.006367
[475/5000][115/535][48754] Loss_D: -0.026896 Loss_G: 0.013509 Loss_D_real: -0.021200 Loss_D_fake 0.005696
[475/5000][120/535][48755] Loss_D: -0.027184 Loss_G: 0.022180 Loss_D_real: -0.021839 Loss_D_fake 0.005345
[475/5000][125/535][48756] Loss_D: -0.026808 Loss_G: 0.004734 Loss_D_real: -0.015432 Loss_D_fake 0.011376
[475/5000][130/535][48757] Loss_D: -0.028787 Loss_G: 0.011660 Loss_D_real: -0.019976 Loss_D_fake 0.008812
[475/5000][135/535][48758] Loss_D: -0.026815 Loss_G: 0.015379 Loss_D_real: -0.010691 Loss_D_fake 0.016124
[475/5000][140/535][48759] Loss_D: -0.026159 Loss_G: 0.035673 Loss_D_real: -0.029423 Loss_D_fake -0.003264
[475/5000][145/535][48760] Loss_D: -0.027645 Loss_G: 0.002141 Loss_D_real: -0.007424 Loss_D_fake 0.020220
[475/5000][150/535][48761] Loss_D: -0.026334 Loss_G: 0.021404 Loss_D_real: -0.019408 Loss_D_fake 0.006925
[475/5000][155/535][48762] Loss_D: -0.025370 Loss_G: 0.001715 Loss_D_real: -0.005523 Loss_D_fake 0.019847
[475/5000][160/535][48763] Loss_D: -0.027144 Loss_G: -0.005150 Loss_D_real: -0.007330 Loss_D_fake 0.019814
[475/5000][165/535][48764] Loss_D: -0.026968 Loss_G: 0.023678 Loss_D_real: -0.021039 Loss_D_fake 0.005929
[475/5000][170/535][48765] Loss_D: -0.027869 Loss_G: 0.018048 Loss_D_real: -0.023107 Loss_D_fake 0.004762
[475/5000][175/535][48766] Loss_D: -0.028291 Loss_G: -0.000340 Loss_D_real: -0.009406 Loss_D_fake 0.018885
[475/5000][180/535][48767] Loss_D: -0.025161 Loss_G: -0.018657 Loss_D_real: -0.001583 Loss_D_fake 0.023578
[475/5000][185/535][48768] Loss_D: -0.026378 Loss_G: 0.020462 Loss_D_real: -0.034350 Loss_D_fake -0.007972
[475/5000][190/535][48769] Loss_D: -0.025387 Loss_G: -0.002370 Loss_D_real: 0.005837 Loss_D_fake 0.031224
[475/5000][195/535][48770] Loss_D: -0.026500 Loss_G: 0.011399 Loss_D_real: -0.015448 Loss_D_fake 0.011051
[475/5000][200/535][48771] Loss_D: -0.026832 Loss_G: -0.005263 Loss_D_real: -0.000507 Loss_D_fake 0.026326
[475/5000][205/535][48772] Loss_D: -0.026463 Loss_G: 0.003716 Loss_D_real: -0.014748 Loss_D_fake 0.011715
[475/5000][210/535][48773] Loss_D: -0.025549 Loss_G: 0.041657 Loss_D_real: -0.040445 Loss_D_fake -0.014897
[475/5000][215/535][48774] Loss_D: -0.027816 Loss_G: 0.010575 Loss_D_real: -0.015346 Loss_D_fake 0.012470
[475/5000][220/535][48775] Loss_D: -0.027671 Loss_G: 0.015004 Loss_D_real: -0.023438 Loss_D_fake 0.004233
[475/5000][225/535][48776] Loss_D: -0.026840 Loss_G: 0.000951 Loss_D_real: -0.001312 Loss_D_fake 0.025528
[475/5000][230/535][48777] Loss_D: -0.026199 Loss_G: 0.013422 Loss_D_real: -0.017158 Loss_D_fake 0.009042
[475/5000][235/535][48778] Loss_D: -0.027838 Loss_G: 0.028838 Loss_D_real: -0.018508 Loss_D_fake 0.009330
[475/5000][240/535][48779] Loss_D: -0.025437 Loss_G: 0.023311 Loss_D_real: -0.031136 Loss_D_fake -0.005699
[475/5000][245/535][48780] Loss_D: -0.025523 Loss_G: 0.033146 Loss_D_real: -0.030754 Loss_D_fake -0.005231
[475/5000][250/535][48781] Loss_D: -0.027304 Loss_G: 0.007301 Loss_D_real: -0.007000 Loss_D_fake 0.020304
[475/5000][255/535][48782] Loss_D: -0.026559 Loss_G: 0.023185 Loss_D_real: -0.020869 Loss_D_fake 0.005690
[475/5000][260/535][48783] Loss_D: -0.026887 Loss_G: 0.013142 Loss_D_real: -0.015918 Loss_D_fake 0.010968
[475/5000][265/535][48784] Loss_D: -0.028469 Loss_G: 0.016512 Loss_D_real: -0.019223 Loss_D_fake 0.009246
[475/5000][270/535][48785] Loss_D: -0.027976 Loss_G: -0.002199 Loss_D_real: -0.011749 Loss_D_fake 0.016227
[475/5000][275/535][48786] Loss_D: -0.026207 Loss_G: 0.032024 Loss_D_real: -0.035319 Loss_D_fake -0.009111
[475/5000][280/535][48787] Loss_D: -0.029018 Loss_G: 0.003263 Loss_D_real: -0.013970 Loss_D_fake 0.015048
[475/5000][285/535][48788] Loss_D: -0.027816 Loss_G: 0.001064 Loss_D_real: -0.010334 Loss_D_fake 0.017482
[475/5000][290/535][48789] Loss_D: -0.027345 Loss_G: 0.019328 Loss_D_real: -0.023007 Loss_D_fake 0.004339
[475/5000][295/535][48790] Loss_D: -0.028031 Loss_G: -0.012129 Loss_D_real: -0.000688 Loss_D_fake 0.027343
[475/5000][300/535][48791] Loss_D: -0.025912 Loss_G: 0.035475 Loss_D_real: -0.032772 Loss_D_fake -0.006860
[475/5000][305/535][48792] Loss_D: -0.027253 Loss_G: 0.010782 Loss_D_real: -0.020632 Loss_D_fake 0.006621
[475/5000][310/535][48793] Loss_D: -0.025811 Loss_G: 0.003436 Loss_D_real: -0.015493 Loss_D_fake 0.010319
[475/5000][315/535][48794] Loss_D: -0.027749 Loss_G: 0.019711 Loss_D_real: -0.018070 Loss_D_fake 0.009679
[475/5000][320/535][48795] Loss_D: -0.026156 Loss_G: 0.006863 Loss_D_real: -0.018588 Loss_D_fake 0.007568
[475/5000][325/535][48796] Loss_D: -0.026291 Loss_G: 0.032280 Loss_D_real: -0.033023 Loss_D_fake -0.006732
[475/5000][330/535][48797] Loss_D: -0.025872 Loss_G: 0.015778 Loss_D_real: -0.021916 Loss_D_fake 0.003956
[475/5000][335/535][48798] Loss_D: -0.025657 Loss_G: 0.031847 Loss_D_real: -0.038215 Loss_D_fake -0.012559
[475/5000][340/535][48799] Loss_D: -0.026961 Loss_G: 0.011529 Loss_D_real: -0.016908 Loss_D_fake 0.010053
[475/5000][345/535][48800] Loss_D: -0.026507 Loss_G: 0.031918 Loss_D_real: -0.024045 Loss_D_fake 0.002461
[475/5000][350/535][48801] Loss_D: -0.028353 Loss_G: 0.004104 Loss_D_real: -0.003586 Loss_D_fake 0.024767
[475/5000][355/535][48802] Loss_D: -0.026256 Loss_G: 0.001820 Loss_D_real: -0.014019 Loss_D_fake 0.012237
[475/5000][360/535][48803] Loss_D: -0.026722 Loss_G: 0.029154 Loss_D_real: -0.023789 Loss_D_fake 0.002932
[475/5000][365/535][48804] Loss_D: -0.027566 Loss_G: 0.001978 Loss_D_real: -0.010886 Loss_D_fake 0.016680
[475/5000][370/535][48805] Loss_D: -0.026643 Loss_G: -0.005513 Loss_D_real: -0.008440 Loss_D_fake 0.018203
[475/5000][375/535][48806] Loss_D: -0.026602 Loss_G: 0.031432 Loss_D_real: -0.024767 Loss_D_fake 0.001835
[475/5000][380/535][48807] Loss_D: -0.026754 Loss_G: 0.026224 Loss_D_real: -0.025899 Loss_D_fake 0.000854
[475/5000][385/535][48808] Loss_D: -0.028648 Loss_G: -0.003486 Loss_D_real: -0.008122 Loss_D_fake 0.020526
[475/5000][390/535][48809] Loss_D: -0.027732 Loss_G: 0.020438 Loss_D_real: -0.025046 Loss_D_fake 0.002686
[475/5000][395/535][48810] Loss_D: -0.027162 Loss_G: -0.003098 Loss_D_real: -0.011501 Loss_D_fake 0.015661
[475/5000][400/535][48811] Loss_D: -0.027879 Loss_G: 0.010811 Loss_D_real: -0.019877 Loss_D_fake 0.008003
[475/5000][405/535][48812] Loss_D: -0.028106 Loss_G: -0.003021 Loss_D_real: 0.002003 Loss_D_fake 0.030110
[475/5000][410/535][48813] Loss_D: -0.028240 Loss_G: 0.032982 Loss_D_real: -0.033121 Loss_D_fake -0.004881
[475/5000][415/535][48814] Loss_D: -0.027574 Loss_G: 0.001323 Loss_D_real: -0.007719 Loss_D_fake 0.019855
[475/5000][420/535][48815] Loss_D: -0.025300 Loss_G: 0.008978 Loss_D_real: -0.030916 Loss_D_fake -0.005616
[475/5000][425/535][48816] Loss_D: -0.027162 Loss_G: 0.025070 Loss_D_real: -0.025433 Loss_D_fake 0.001730
[475/5000][430/535][48817] Loss_D: -0.027883 Loss_G: 0.000948 Loss_D_real: -0.019710 Loss_D_fake 0.008172
[475/5000][435/535][48818] Loss_D: -0.027401 Loss_G: 0.030084 Loss_D_real: -0.032676 Loss_D_fake -0.005275
[475/5000][440/535][48819] Loss_D: -0.028277 Loss_G: 0.025290 Loss_D_real: -0.022046 Loss_D_fake 0.006232
[475/5000][445/535][48820] Loss_D: -0.027888 Loss_G: 0.005682 Loss_D_real: -0.007461 Loss_D_fake 0.020427
[475/5000][450/535][48821] Loss_D: -0.026680 Loss_G: 0.014822 Loss_D_real: -0.020634 Loss_D_fake 0.006046
[475/5000][455/535][48822] Loss_D: -0.026173 Loss_G: 0.018624 Loss_D_real: -0.016486 Loss_D_fake 0.009687
[475/5000][460/535][48823] Loss_D: -0.026985 Loss_G: 0.017467 Loss_D_real: -0.017699 Loss_D_fake 0.009287
[475/5000][465/535][48824] Loss_D: -0.027054 Loss_G: 0.005286 Loss_D_real: -0.005148 Loss_D_fake 0.021906
[475/5000][470/535][48825] Loss_D: -0.026400 Loss_G: 0.019873 Loss_D_real: -0.013914 Loss_D_fake 0.012486
[475/5000][475/535][48826] Loss_D: -0.026357 Loss_G: -0.002315 Loss_D_real: -0.005478 Loss_D_fake 0.020878
[475/5000][480/535][48827] Loss_D: -0.026818 Loss_G: 0.023600 Loss_D_real: -0.023557 Loss_D_fake 0.003261
[475/5000][485/535][48828] Loss_D: -0.026348 Loss_G: 0.029776 Loss_D_real: -0.025644 Loss_D_fake 0.000704
[475/5000][490/535][48829] Loss_D: -0.028244 Loss_G: 0.009627 Loss_D_real: -0.015626 Loss_D_fake 0.012619
[475/5000][495/535][48830] Loss_D: -0.027179 Loss_G: 0.013721 Loss_D_real: -0.008463 Loss_D_fake 0.018716
[475/5000][500/535][48831] Loss_D: -0.026343 Loss_G: 0.017903 Loss_D_real: -0.014569 Loss_D_fake 0.011773
[475/5000][505/535][48832] Loss_D: -0.026802 Loss_G: 0.018283 Loss_D_real: -0.005077 Loss_D_fake 0.021725
[475/5000][510/535][48833] Loss_D: -0.025963 Loss_G: 0.024123 Loss_D_real: -0.023744 Loss_D_fake 0.002219
[475/5000][515/535][48834] Loss_D: -0.028012 Loss_G: 0.012841 Loss_D_real: -0.022252 Loss_D_fake 0.005760
[475/5000][520/535][48835] Loss_D: -0.027381 Loss_G: 0.012322 Loss_D_real: -0.023479 Loss_D_fake 0.003902
[475/5000][525/535][48836] Loss_D: -0.027885 Loss_G: 0.022737 Loss_D_real: -0.014973 Loss_D_fake 0.012912
[475/5000][530/535][48837] Loss_D: -0.026119 Loss_G: 0.002737 Loss_D_real: -0.014058 Loss_D_fake 0.012060
[475/5000][535/535][48838] Loss_D: -0.027348 Loss_G: 0.015375 Loss_D_real: -0.033728 Loss_D_fake -0.006380
[476/5000][5/535][48839] Loss_D: -0.028420 Loss_G: 0.009410 Loss_D_real: 0.001925 Loss_D_fake 0.030345
[476/5000][10/535][48840] Loss_D: -0.027126 Loss_G: 0.008476 Loss_D_real: -0.012586 Loss_D_fake 0.014540
[476/5000][15/535][48841] Loss_D: -0.026605 Loss_G: 0.021719 Loss_D_real: -0.018673 Loss_D_fake 0.007931
[476/5000][20/535][48842] Loss_D: -0.026732 Loss_G: -0.003959 Loss_D_real: -0.000144 Loss_D_fake 0.026587
[476/5000][25/535][48843] Loss_D: -0.026314 Loss_G: 0.036594 Loss_D_real: -0.034810 Loss_D_fake -0.008495
[476/5000][30/535][48844] Loss_D: -0.028075 Loss_G: 0.012564 Loss_D_real: -0.011667 Loss_D_fake 0.016408
[476/5000][35/535][48845] Loss_D: -0.027472 Loss_G: 0.009630 Loss_D_real: -0.017044 Loss_D_fake 0.010428
[476/5000][40/535][48846] Loss_D: -0.027458 Loss_G: 0.001162 Loss_D_real: -0.001928 Loss_D_fake 0.025530
[476/5000][45/535][48847] Loss_D: -0.026857 Loss_G: -0.000043 Loss_D_real: -0.011422 Loss_D_fake 0.015436
[476/5000][50/535][48848] Loss_D: -0.027502 Loss_G: 0.036489 Loss_D_real: -0.042848 Loss_D_fake -0.015347
[476/5000][55/535][48849] Loss_D: -0.027654 Loss_G: 0.014116 Loss_D_real: -0.019627 Loss_D_fake 0.008027
[476/5000][60/535][48850] Loss_D: -0.026694 Loss_G: -0.000183 Loss_D_real: 0.003631 Loss_D_fake 0.030325
[476/5000][65/535][48851] Loss_D: -0.024082 Loss_G: 0.037746 Loss_D_real: -0.037961 Loss_D_fake -0.013879
[476/5000][70/535][48852] Loss_D: -0.026406 Loss_G: 0.001332 Loss_D_real: -0.013145 Loss_D_fake 0.013261
[476/5000][75/535][48853] Loss_D: -0.026861 Loss_G: 0.016942 Loss_D_real: -0.024145 Loss_D_fake 0.002716
[476/5000][80/535][48854] Loss_D: -0.025540 Loss_G: 0.002025 Loss_D_real: -0.003783 Loss_D_fake 0.021757
[476/5000][85/535][48855] Loss_D: -0.026419 Loss_G: 0.009175 Loss_D_real: -0.014776 Loss_D_fake 0.011642
[476/5000][90/535][48856] Loss_D: -0.026647 Loss_G: 0.034668 Loss_D_real: -0.029315 Loss_D_fake -0.002668
[476/5000][95/535][48857] Loss_D: -0.027959 Loss_G: 0.020949 Loss_D_real: -0.009322 Loss_D_fake 0.018636
[476/5000][100/535][48858] Loss_D: -0.027037 Loss_G: 0.002042 Loss_D_real: -0.014139 Loss_D_fake 0.012898
[476/5000][105/535][48859] Loss_D: -0.026278 Loss_G: 0.008379 Loss_D_real: -0.006972 Loss_D_fake 0.019306
[476/5000][110/535][48860] Loss_D: -0.026599 Loss_G: 0.023929 Loss_D_real: -0.036432 Loss_D_fake -0.009832
[476/5000][115/535][48861] Loss_D: -0.026959 Loss_G: -0.003114 Loss_D_real: -0.000490 Loss_D_fake 0.026468
[476/5000][120/535][48862] Loss_D: -0.026413 Loss_G: 0.039890 Loss_D_real: -0.029832 Loss_D_fake -0.003420
[476/5000][125/535][48863] Loss_D: -0.026949 Loss_G: 0.010488 Loss_D_real: -0.017546 Loss_D_fake 0.009403
[476/5000][130/535][48864] Loss_D: -0.026762 Loss_G: 0.037012 Loss_D_real: -0.031747 Loss_D_fake -0.004985
[476/5000][135/535][48865] Loss_D: -0.027691 Loss_G: 0.035615 Loss_D_real: -0.032334 Loss_D_fake -0.004643
[476/5000][140/535][48866] Loss_D: -0.027528 Loss_G: 0.011994 Loss_D_real: -0.010943 Loss_D_fake 0.016585
[476/5000][145/535][48867] Loss_D: -0.026169 Loss_G: 0.038315 Loss_D_real: -0.029626 Loss_D_fake -0.003457
[476/5000][150/535][48868] Loss_D: -0.027352 Loss_G: 0.011245 Loss_D_real: -0.017579 Loss_D_fake 0.009773
[476/5000][155/535][48869] Loss_D: -0.028605 Loss_G: -0.002724 Loss_D_real: -0.011677 Loss_D_fake 0.016928
[476/5000][160/535][48870] Loss_D: -0.026016 Loss_G: 0.012994 Loss_D_real: -0.016514 Loss_D_fake 0.009501
[476/5000][165/535][48871] Loss_D: -0.026883 Loss_G: 0.026213 Loss_D_real: -0.017135 Loss_D_fake 0.009747
[476/5000][170/535][48872] Loss_D: -0.026952 Loss_G: 0.010735 Loss_D_real: -0.016374 Loss_D_fake 0.010578
[476/5000][175/535][48873] Loss_D: -0.026432 Loss_G: 0.037602 Loss_D_real: -0.019795 Loss_D_fake 0.006637
[476/5000][180/535][48874] Loss_D: -0.026556 Loss_G: -0.014314 Loss_D_real: 0.001719 Loss_D_fake 0.028276
[476/5000][185/535][48875] Loss_D: -0.026956 Loss_G: 0.001602 Loss_D_real: -0.015931 Loss_D_fake 0.011025
[476/5000][190/535][48876] Loss_D: -0.027016 Loss_G: 0.011734 Loss_D_real: -0.018364 Loss_D_fake 0.008652
[476/5000][195/535][48877] Loss_D: -0.026010 Loss_G: 0.028853 Loss_D_real: -0.029055 Loss_D_fake -0.003045
[476/5000][200/535][48878] Loss_D: -0.027035 Loss_G: 0.011266 Loss_D_real: -0.016054 Loss_D_fake 0.010980
[476/5000][205/535][48879] Loss_D: -0.026417 Loss_G: 0.024492 Loss_D_real: -0.030468 Loss_D_fake -0.004051
[476/5000][210/535][48880] Loss_D: -0.027974 Loss_G: 0.014136 Loss_D_real: -0.015884 Loss_D_fake 0.012090
[476/5000][215/535][48881] Loss_D: -0.028137 Loss_G: 0.012766 Loss_D_real: -0.025593 Loss_D_fake 0.002545
[476/5000][220/535][48882] Loss_D: -0.027619 Loss_G: 0.019635 Loss_D_real: -0.021301 Loss_D_fake 0.006318
[476/5000][225/535][48883] Loss_D: -0.027282 Loss_G: 0.018068 Loss_D_real: -0.030101 Loss_D_fake -0.002820
[476/5000][230/535][48884] Loss_D: -0.026179 Loss_G: 0.026652 Loss_D_real: -0.023691 Loss_D_fake 0.002488
[476/5000][235/535][48885] Loss_D: -0.026859 Loss_G: 0.010769 Loss_D_real: -0.016730 Loss_D_fake 0.010129
[476/5000][240/535][48886] Loss_D: -0.027454 Loss_G: 0.010652 Loss_D_real: -0.017951 Loss_D_fake 0.009504
[476/5000][245/535][48887] Loss_D: -0.026488 Loss_G: 0.032399 Loss_D_real: -0.024655 Loss_D_fake 0.001832
[476/5000][250/535][48888] Loss_D: -0.026296 Loss_G: 0.009819 Loss_D_real: -0.011845 Loss_D_fake 0.014452
[476/5000][255/535][48889] Loss_D: -0.028270 Loss_G: 0.007244 Loss_D_real: -0.021790 Loss_D_fake 0.006480
[476/5000][260/535][48890] Loss_D: -0.025870 Loss_G: -0.009946 Loss_D_real: 0.008168 Loss_D_fake 0.034038
[476/5000][265/535][48891] Loss_D: -0.026537 Loss_G: 0.016327 Loss_D_real: -0.024090 Loss_D_fake 0.002446
[476/5000][270/535][48892] Loss_D: -0.027630 Loss_G: 0.000653 Loss_D_real: -0.012016 Loss_D_fake 0.015614
[476/5000][275/535][48893] Loss_D: -0.028645 Loss_G: 0.023109 Loss_D_real: -0.016225 Loss_D_fake 0.012420
[476/5000][280/535][48894] Loss_D: -0.027226 Loss_G: 0.007278 Loss_D_real: -0.012892 Loss_D_fake 0.014334
[476/5000][285/535][48895] Loss_D: -0.026814 Loss_G: 0.004058 Loss_D_real: -0.012926 Loss_D_fake 0.013888
[476/5000][290/535][48896] Loss_D: -0.026333 Loss_G: 0.021352 Loss_D_real: -0.022234 Loss_D_fake 0.004098
[476/5000][295/535][48897] Loss_D: -0.027766 Loss_G: 0.007528 Loss_D_real: -0.007615 Loss_D_fake 0.020151
[476/5000][300/535][48898] Loss_D: -0.026374 Loss_G: -0.005906 Loss_D_real: 0.000215 Loss_D_fake 0.026589
[476/5000][305/535][48899] Loss_D: -0.026164 Loss_G: 0.026493 Loss_D_real: -0.031078 Loss_D_fake -0.004914
[476/5000][310/535][48900] Loss_D: -0.028548 Loss_G: 0.008967 Loss_D_real: -0.021828 Loss_D_fake 0.006720
[476/5000][315/535][48901] Loss_D: -0.027094 Loss_G: 0.036968 Loss_D_real: -0.035464 Loss_D_fake -0.008369
[476/5000][320/535][48902] Loss_D: -0.028349 Loss_G: 0.017808 Loss_D_real: -0.025306 Loss_D_fake 0.003043
[476/5000][325/535][48903] Loss_D: -0.027716 Loss_G: 0.010489 Loss_D_real: -0.017850 Loss_D_fake 0.009865
[476/5000][330/535][48904] Loss_D: -0.027609 Loss_G: 0.006442 Loss_D_real: -0.012678 Loss_D_fake 0.014931
[476/5000][335/535][48905] Loss_D: -0.026738 Loss_G: 0.017937 Loss_D_real: -0.017697 Loss_D_fake 0.009041
[476/5000][340/535][48906] Loss_D: -0.026992 Loss_G: 0.020956 Loss_D_real: -0.021974 Loss_D_fake 0.005019
[476/5000][345/535][48907] Loss_D: -0.026856 Loss_G: 0.028349 Loss_D_real: -0.030397 Loss_D_fake -0.003541
[476/5000][350/535][48908] Loss_D: -0.026045 Loss_G: -0.012526 Loss_D_real: -0.001926 Loss_D_fake 0.024119
[476/5000][355/535][48909] Loss_D: -0.025975 Loss_G: 0.030530 Loss_D_real: -0.033203 Loss_D_fake -0.007228
[476/5000][360/535][48910] Loss_D: -0.025912 Loss_G: -0.002451 Loss_D_real: -0.004964 Loss_D_fake 0.020948
[476/5000][365/535][48911] Loss_D: -0.026541 Loss_G: 0.013560 Loss_D_real: -0.011215 Loss_D_fake 0.015327
[476/5000][370/535][48912] Loss_D: -0.025242 Loss_G: 0.025978 Loss_D_real: -0.016667 Loss_D_fake 0.008575
[476/5000][375/535][48913] Loss_D: -0.026784 Loss_G: -0.001187 Loss_D_real: -0.016101 Loss_D_fake 0.010683
[476/5000][380/535][48914] Loss_D: -0.027991 Loss_G: 0.004443 Loss_D_real: -0.009949 Loss_D_fake 0.018042
[476/5000][385/535][48915] Loss_D: -0.025122 Loss_G: 0.024325 Loss_D_real: -0.026285 Loss_D_fake -0.001164
[476/5000][390/535][48916] Loss_D: -0.027234 Loss_G: 0.013954 Loss_D_real: -0.008251 Loss_D_fake 0.018982
[476/5000][395/535][48917] Loss_D: -0.025925 Loss_G: 0.029690 Loss_D_real: -0.023735 Loss_D_fake 0.002190
[476/5000][400/535][48918] Loss_D: -0.027690 Loss_G: 0.023006 Loss_D_real: -0.032456 Loss_D_fake -0.004766
[476/5000][405/535][48919] Loss_D: -0.024954 Loss_G: 0.040257 Loss_D_real: -0.035653 Loss_D_fake -0.010700
[476/5000][410/535][48920] Loss_D: -0.027727 Loss_G: 0.025566 Loss_D_real: -0.029466 Loss_D_fake -0.001739
[476/5000][415/535][48921] Loss_D: -0.027324 Loss_G: 0.019186 Loss_D_real: -0.014081 Loss_D_fake 0.013244
[476/5000][420/535][48922] Loss_D: -0.026159 Loss_G: 0.015398 Loss_D_real: -0.015946 Loss_D_fake 0.010213
[476/5000][425/535][48923] Loss_D: -0.026728 Loss_G: 0.029592 Loss_D_real: -0.025119 Loss_D_fake 0.001609
[476/5000][430/535][48924] Loss_D: -0.027376 Loss_G: 0.014156 Loss_D_real: -0.016912 Loss_D_fake 0.010465
[476/5000][435/535][48925] Loss_D: -0.029843 Loss_G: 0.024738 Loss_D_real: -0.032020 Loss_D_fake -0.002177
[476/5000][440/535][48926] Loss_D: -0.026891 Loss_G: -0.000452 Loss_D_real: -0.011026 Loss_D_fake 0.015865
[476/5000][445/535][48927] Loss_D: -0.026034 Loss_G: 0.018505 Loss_D_real: -0.017709 Loss_D_fake 0.008324
[476/5000][450/535][48928] Loss_D: -0.029181 Loss_G: 0.011194 Loss_D_real: -0.012665 Loss_D_fake 0.016517
[476/5000][455/535][48929] Loss_D: -0.025333 Loss_G: 0.033309 Loss_D_real: -0.029452 Loss_D_fake -0.004119
[476/5000][460/535][48930] Loss_D: -0.027129 Loss_G: 0.003107 Loss_D_real: -0.013120 Loss_D_fake 0.014010
[476/5000][465/535][48931] Loss_D: -0.027150 Loss_G: 0.005787 Loss_D_real: -0.000674 Loss_D_fake 0.026477
[476/5000][470/535][48932] Loss_D: -0.026629 Loss_G: 0.031326 Loss_D_real: -0.031372 Loss_D_fake -0.004743
[476/5000][475/535][48933] Loss_D: -0.027083 Loss_G: 0.010545 Loss_D_real: -0.029113 Loss_D_fake -0.002030
[476/5000][480/535][48934] Loss_D: -0.028222 Loss_G: 0.020256 Loss_D_real: -0.032029 Loss_D_fake -0.003807
[476/5000][485/535][48935] Loss_D: -0.027026 Loss_G: 0.022025 Loss_D_real: -0.030644 Loss_D_fake -0.003618
[476/5000][490/535][48936] Loss_D: -0.026712 Loss_G: 0.039190 Loss_D_real: -0.034918 Loss_D_fake -0.008206
[476/5000][495/535][48937] Loss_D: -0.026834 Loss_G: 0.008424 Loss_D_real: -0.017838 Loss_D_fake 0.008996
[476/5000][500/535][48938] Loss_D: -0.025750 Loss_G: 0.028544 Loss_D_real: -0.043789 Loss_D_fake -0.018039
[476/5000][505/535][48939] Loss_D: -0.026812 Loss_G: 0.004193 Loss_D_real: -0.003492 Loss_D_fake 0.023320
[476/5000][510/535][48940] Loss_D: -0.026156 Loss_G: 0.021070 Loss_D_real: -0.025364 Loss_D_fake 0.000792
[476/5000][515/535][48941] Loss_D: -0.025598 Loss_G: -0.011053 Loss_D_real: 0.003840 Loss_D_fake 0.029438
[476/5000][520/535][48942] Loss_D: -0.024894 Loss_G: 0.021092 Loss_D_real: -0.011082 Loss_D_fake 0.013812
[476/5000][525/535][48943] Loss_D: -0.026557 Loss_G: 0.002171 Loss_D_real: -0.002779 Loss_D_fake 0.023778
[476/5000][530/535][48944] Loss_D: -0.025902 Loss_G: 0.032239 Loss_D_real: -0.029500 Loss_D_fake -0.003598
[476/5000][535/535][48945] Loss_D: -0.027575 Loss_G: -0.010775 Loss_D_real: 0.005481 Loss_D_fake 0.033056
[477/5000][5/535][48946] Loss_D: -0.028295 Loss_G: 0.012324 Loss_D_real: -0.006198 Loss_D_fake 0.022096
[477/5000][10/535][48947] Loss_D: -0.026507 Loss_G: 0.005833 Loss_D_real: -0.016943 Loss_D_fake 0.009564
[477/5000][15/535][48948] Loss_D: -0.026836 Loss_G: 0.008652 Loss_D_real: -0.008974 Loss_D_fake 0.017862
[477/5000][20/535][48949] Loss_D: -0.026686 Loss_G: 0.014728 Loss_D_real: -0.019351 Loss_D_fake 0.007335
[477/5000][25/535][48950] Loss_D: -0.027281 Loss_G: 0.026130 Loss_D_real: -0.020410 Loss_D_fake 0.006871
[477/5000][30/535][48951] Loss_D: -0.027307 Loss_G: 0.033300 Loss_D_real: -0.020602 Loss_D_fake 0.006705
[477/5000][35/535][48952] Loss_D: -0.026844 Loss_G: 0.003092 Loss_D_real: -0.013051 Loss_D_fake 0.013793
[477/5000][40/535][48953] Loss_D: -0.027103 Loss_G: 0.029394 Loss_D_real: -0.016593 Loss_D_fake 0.010510
[477/5000][45/535][48954] Loss_D: -0.027916 Loss_G: -0.000720 Loss_D_real: -0.003787 Loss_D_fake 0.024129
[477/5000][50/535][48955] Loss_D: -0.026571 Loss_G: -0.002514 Loss_D_real: -0.008078 Loss_D_fake 0.018493
[477/5000][55/535][48956] Loss_D: -0.026283 Loss_G: 0.027855 Loss_D_real: -0.023772 Loss_D_fake 0.002512
[477/5000][60/535][48957] Loss_D: -0.027967 Loss_G: 0.022436 Loss_D_real: -0.024547 Loss_D_fake 0.003421
[477/5000][65/535][48958] Loss_D: -0.027248 Loss_G: 0.000306 Loss_D_real: -0.001919 Loss_D_fake 0.025329
[477/5000][70/535][48959] Loss_D: -0.025770 Loss_G: -0.009359 Loss_D_real: 0.000648 Loss_D_fake 0.026418
[477/5000][75/535][48960] Loss_D: -0.026680 Loss_G: 0.017050 Loss_D_real: -0.020249 Loss_D_fake 0.006430
[477/5000][80/535][48961] Loss_D: -0.027799 Loss_G: -0.004919 Loss_D_real: -0.009513 Loss_D_fake 0.018286
[477/5000][85/535][48962] Loss_D: -0.025882 Loss_G: 0.023844 Loss_D_real: -0.024764 Loss_D_fake 0.001118
[477/5000][90/535][48963] Loss_D: -0.028199 Loss_G: 0.018379 Loss_D_real: -0.020794 Loss_D_fake 0.007405
[477/5000][95/535][48964] Loss_D: -0.026957 Loss_G: 0.030730 Loss_D_real: -0.025864 Loss_D_fake 0.001093
[477/5000][100/535][48965] Loss_D: -0.029514 Loss_G: 0.017152 Loss_D_real: -0.012922 Loss_D_fake 0.016592
[477/5000][105/535][48966] Loss_D: -0.027111 Loss_G: 0.018944 Loss_D_real: -0.011449 Loss_D_fake 0.015662
[477/5000][110/535][48967] Loss_D: -0.028019 Loss_G: 0.028844 Loss_D_real: -0.013729 Loss_D_fake 0.014290
[477/5000][115/535][48968] Loss_D: -0.026986 Loss_G: 0.014817 Loss_D_real: -0.014924 Loss_D_fake 0.012062
[477/5000][120/535][48969] Loss_D: -0.026295 Loss_G: 0.019677 Loss_D_real: -0.026552 Loss_D_fake -0.000257
[477/5000][125/535][48970] Loss_D: -0.028165 Loss_G: 0.021820 Loss_D_real: -0.028945 Loss_D_fake -0.000779
[477/5000][130/535][48971] Loss_D: -0.026449 Loss_G: 0.030694 Loss_D_real: -0.027721 Loss_D_fake -0.001272
[477/5000][135/535][48972] Loss_D: -0.025428 Loss_G: 0.021910 Loss_D_real: -0.038435 Loss_D_fake -0.013007
[477/5000][140/535][48973] Loss_D: -0.027045 Loss_G: 0.017974 Loss_D_real: -0.018178 Loss_D_fake 0.008867
[477/5000][145/535][48974] Loss_D: -0.026965 Loss_G: -0.002796 Loss_D_real: -0.013787 Loss_D_fake 0.013178
[477/5000][150/535][48975] Loss_D: -0.026207 Loss_G: 0.017556 Loss_D_real: -0.019681 Loss_D_fake 0.006527
[477/5000][155/535][48976] Loss_D: -0.027829 Loss_G: 0.006560 Loss_D_real: -0.014550 Loss_D_fake 0.013278
[477/5000][160/535][48977] Loss_D: -0.025980 Loss_G: 0.032312 Loss_D_real: -0.030172 Loss_D_fake -0.004192
[477/5000][165/535][48978] Loss_D: -0.026491 Loss_G: 0.019272 Loss_D_real: -0.015235 Loss_D_fake 0.011256
[477/5000][170/535][48979] Loss_D: -0.026800 Loss_G: -0.007367 Loss_D_real: 0.001685 Loss_D_fake 0.028485
[477/5000][175/535][48980] Loss_D: -0.027343 Loss_G: 0.027145 Loss_D_real: -0.014636 Loss_D_fake 0.012707
[477/5000][180/535][48981] Loss_D: -0.027085 Loss_G: 0.006862 Loss_D_real: -0.018851 Loss_D_fake 0.008233
[477/5000][185/535][48982] Loss_D: -0.027169 Loss_G: 0.009628 Loss_D_real: -0.012535 Loss_D_fake 0.014634
[477/5000][190/535][48983] Loss_D: -0.027406 Loss_G: 0.009915 Loss_D_real: -0.011147 Loss_D_fake 0.016259
[477/5000][195/535][48984] Loss_D: -0.027945 Loss_G: 0.008501 Loss_D_real: -0.001766 Loss_D_fake 0.026179
[477/5000][200/535][48985] Loss_D: -0.027429 Loss_G: -0.001033 Loss_D_real: -0.009482 Loss_D_fake 0.017947
[477/5000][205/535][48986] Loss_D: -0.027100 Loss_G: 0.026403 Loss_D_real: -0.027075 Loss_D_fake 0.000024
[477/5000][210/535][48987] Loss_D: -0.028332 Loss_G: 0.008469 Loss_D_real: -0.017547 Loss_D_fake 0.010785
[477/5000][215/535][48988] Loss_D: -0.027840 Loss_G: 0.010658 Loss_D_real: -0.010971 Loss_D_fake 0.016868
[477/5000][220/535][48989] Loss_D: -0.028572 Loss_G: 0.025391 Loss_D_real: -0.025436 Loss_D_fake 0.003136
[477/5000][225/535][48990] Loss_D: -0.027952 Loss_G: 0.006286 Loss_D_real: -0.027355 Loss_D_fake 0.000597
[477/5000][230/535][48991] Loss_D: -0.025645 Loss_G: 0.039921 Loss_D_real: -0.040419 Loss_D_fake -0.014774
[477/5000][235/535][48992] Loss_D: -0.029193 Loss_G: 0.009022 Loss_D_real: -0.018320 Loss_D_fake 0.010873
[477/5000][240/535][48993] Loss_D: -0.028207 Loss_G: 0.023097 Loss_D_real: -0.023939 Loss_D_fake 0.004268
[477/5000][245/535][48994] Loss_D: -0.028863 Loss_G: 0.004212 Loss_D_real: -0.014617 Loss_D_fake 0.014246
[477/5000][250/535][48995] Loss_D: -0.027836 Loss_G: 0.005739 Loss_D_real: -0.015768 Loss_D_fake 0.012068
[477/5000][255/535][48996] Loss_D: -0.027774 Loss_G: 0.035479 Loss_D_real: -0.035631 Loss_D_fake -0.007857
[477/5000][260/535][48997] Loss_D: -0.027104 Loss_G: -0.011290 Loss_D_real: -0.003111 Loss_D_fake 0.023993
[477/5000][265/535][48998] Loss_D: -0.027198 Loss_G: 0.017249 Loss_D_real: -0.020631 Loss_D_fake 0.006567
[477/5000][270/535][48999] Loss_D: -0.028137 Loss_G: -0.001801 Loss_D_real: -0.006531 Loss_D_fake 0.021606
[477/5000][275/535][49000] Loss_D: -0.027581 Loss_G: 0.026856 Loss_D_real: -0.022203 Loss_D_fake 0.005378
[477/5000][375/535][49001] Loss_D: -0.031654 Loss_G: 0.021534 Loss_D_real: -0.026877 Loss_D_fake 0.004777
[477/5000][380/535][49002] Loss_D: -0.028098 Loss_G: 0.004404 Loss_D_real: -0.003100 Loss_D_fake 0.024998
[477/5000][385/535][49003] Loss_D: -0.027483 Loss_G: 0.016927 Loss_D_real: -0.021090 Loss_D_fake 0.006393
[477/5000][390/535][49004] Loss_D: -0.025426 Loss_G: 0.009287 Loss_D_real: -0.010508 Loss_D_fake 0.014918
[477/5000][395/535][49005] Loss_D: -0.023910 Loss_G: 0.022411 Loss_D_real: -0.023755 Loss_D_fake 0.000156
[477/5000][400/535][49006] Loss_D: -0.025718 Loss_G: 0.003900 Loss_D_real: -0.012915 Loss_D_fake 0.012802
[477/5000][405/535][49007] Loss_D: -0.028187 Loss_G: 0.023422 Loss_D_real: -0.022548 Loss_D_fake 0.005639
[477/5000][410/535][49008] Loss_D: -0.026046 Loss_G: -0.010150 Loss_D_real: -0.014238 Loss_D_fake 0.011808
[477/5000][415/535][49009] Loss_D: -0.024916 Loss_G: 0.016633 Loss_D_real: -0.005315 Loss_D_fake 0.019601
[477/5000][420/535][49010] Loss_D: -0.025300 Loss_G: 0.006793 Loss_D_real: -0.014724 Loss_D_fake 0.010576
[477/5000][425/535][49011] Loss_D: -0.025998 Loss_G: 0.011539 Loss_D_real: -0.014293 Loss_D_fake 0.011705
[477/5000][430/535][49012] Loss_D: -0.026329 Loss_G: 0.024170 Loss_D_real: -0.031779 Loss_D_fake -0.005450
[477/5000][435/535][49013] Loss_D: -0.029168 Loss_G: 0.013070 Loss_D_real: -0.024122 Loss_D_fake 0.005046
[477/5000][440/535][49014] Loss_D: -0.028431 Loss_G: 0.014142 Loss_D_real: -0.011721 Loss_D_fake 0.016710
[477/5000][445/535][49015] Loss_D: -0.026392 Loss_G: -0.000574 Loss_D_real: -0.006837 Loss_D_fake 0.019556
[477/5000][450/535][49016] Loss_D: -0.026208 Loss_G: 0.017102 Loss_D_real: -0.009024 Loss_D_fake 0.017183
[477/5000][455/535][49017] Loss_D: -0.029165 Loss_G: 0.008348 Loss_D_real: -0.014777 Loss_D_fake 0.014388
[477/5000][460/535][49018] Loss_D: -0.026846 Loss_G: 0.026268 Loss_D_real: -0.020768 Loss_D_fake 0.006078
[477/5000][465/535][49019] Loss_D: -0.026677 Loss_G: 0.011393 Loss_D_real: -0.009058 Loss_D_fake 0.017619
[477/5000][470/535][49020] Loss_D: -0.028589 Loss_G: 0.014586 Loss_D_real: -0.014130 Loss_D_fake 0.014459
[477/5000][475/535][49021] Loss_D: -0.028107 Loss_G: 0.040027 Loss_D_real: -0.030055 Loss_D_fake -0.001948
[477/5000][480/535][49022] Loss_D: -0.028294 Loss_G: 0.017528 Loss_D_real: -0.014995 Loss_D_fake 0.013299
[477/5000][485/535][49023] Loss_D: -0.026691 Loss_G: 0.024897 Loss_D_real: -0.018887 Loss_D_fake 0.007804
[477/5000][490/535][49024] Loss_D: -0.027991 Loss_G: -0.012176 Loss_D_real: -0.008848 Loss_D_fake 0.019143
[477/5000][495/535][49025] Loss_D: -0.026978 Loss_G: 0.037155 Loss_D_real: -0.031248 Loss_D_fake -0.004269
[477/5000][500/535][49026] Loss_D: -0.027115 Loss_G: 0.012301 Loss_D_real: -0.016877 Loss_D_fake 0.010238
[477/5000][505/535][49027] Loss_D: -0.026377 Loss_G: 0.007134 Loss_D_real: -0.013208 Loss_D_fake 0.013168
[477/5000][510/535][49028] Loss_D: -0.027377 Loss_G: 0.010521 Loss_D_real: -0.016899 Loss_D_fake 0.010477
[477/5000][515/535][49029] Loss_D: -0.027112 Loss_G: 0.022746 Loss_D_real: -0.016946 Loss_D_fake 0.010166
[477/5000][520/535][49030] Loss_D: -0.027416 Loss_G: 0.003999 Loss_D_real: -0.013825 Loss_D_fake 0.013591
[477/5000][525/535][49031] Loss_D: -0.026981 Loss_G: 0.024893 Loss_D_real: -0.018113 Loss_D_fake 0.008868
[477/5000][530/535][49032] Loss_D: -0.026460 Loss_G: 0.006656 Loss_D_real: -0.014784 Loss_D_fake 0.011676
[477/5000][535/535][49033] Loss_D: -0.026471 Loss_G: 0.001886 Loss_D_real: -0.020652 Loss_D_fake 0.005819
[478/5000][5/535][49034] Loss_D: -0.026674 Loss_G: 0.029276 Loss_D_real: -0.020915 Loss_D_fake 0.005759
[478/5000][10/535][49035] Loss_D: -0.027566 Loss_G: 0.022885 Loss_D_real: -0.025256 Loss_D_fake 0.002309
[478/5000][15/535][49036] Loss_D: -0.026257 Loss_G: -0.001658 Loss_D_real: -0.001258 Loss_D_fake 0.024999
[478/5000][20/535][49037] Loss_D: -0.024740 Loss_G: 0.036306 Loss_D_real: -0.031572 Loss_D_fake -0.006832
[478/5000][25/535][49038] Loss_D: -0.025717 Loss_G: 0.016948 Loss_D_real: -0.012113 Loss_D_fake 0.013604
[478/5000][30/535][49039] Loss_D: -0.026298 Loss_G: 0.014366 Loss_D_real: -0.019207 Loss_D_fake 0.007091
[478/5000][35/535][49040] Loss_D: -0.025527 Loss_G: 0.034180 Loss_D_real: -0.030300 Loss_D_fake -0.004774
[478/5000][40/535][49041] Loss_D: -0.026058 Loss_G: -0.010371 Loss_D_real: 0.000840 Loss_D_fake 0.026898
[478/5000][45/535][49042] Loss_D: -0.024997 Loss_G: 0.026655 Loss_D_real: -0.034998 Loss_D_fake -0.010001
[478/5000][50/535][49043] Loss_D: -0.026767 Loss_G: 0.006065 Loss_D_real: -0.008232 Loss_D_fake 0.018536
[478/5000][55/535][49044] Loss_D: -0.027471 Loss_G: 0.013466 Loss_D_real: -0.016926 Loss_D_fake 0.010545
[478/5000][60/535][49045] Loss_D: -0.027922 Loss_G: 0.025498 Loss_D_real: -0.028493 Loss_D_fake -0.000571
[478/5000][65/535][49046] Loss_D: -0.027312 Loss_G: 0.030249 Loss_D_real: -0.026901 Loss_D_fake 0.000410
[478/5000][70/535][49047] Loss_D: -0.027017 Loss_G: -0.009038 Loss_D_real: -0.000924 Loss_D_fake 0.026093
[478/5000][75/535][49048] Loss_D: -0.027022 Loss_G: 0.020354 Loss_D_real: -0.023040 Loss_D_fake 0.003982
[478/5000][80/535][49049] Loss_D: -0.027502 Loss_G: 0.020670 Loss_D_real: -0.014266 Loss_D_fake 0.013236
[478/5000][85/535][49050] Loss_D: -0.026317 Loss_G: 0.006248 Loss_D_real: -0.011776 Loss_D_fake 0.014541
[478/5000][90/535][49051] Loss_D: -0.026524 Loss_G: 0.015201 Loss_D_real: -0.024259 Loss_D_fake 0.002265
[478/5000][95/535][49052] Loss_D: -0.026856 Loss_G: 0.029545 Loss_D_real: -0.022699 Loss_D_fake 0.004157
[478/5000][100/535][49053] Loss_D: -0.027523 Loss_G: 0.034431 Loss_D_real: -0.029314 Loss_D_fake -0.001791
[478/5000][105/535][49054] Loss_D: -0.025172 Loss_G: -0.012433 Loss_D_real: 0.002070 Loss_D_fake 0.027242
[478/5000][110/535][49055] Loss_D: -0.025913 Loss_G: 0.016855 Loss_D_real: -0.029608 Loss_D_fake -0.003696
[478/5000][115/535][49056] Loss_D: -0.027619 Loss_G: 0.012108 Loss_D_real: -0.015805 Loss_D_fake 0.011813
[478/5000][120/535][49057] Loss_D: -0.027564 Loss_G: 0.009801 Loss_D_real: -0.010795 Loss_D_fake 0.016769
[478/5000][125/535][49058] Loss_D: -0.026481 Loss_G: 0.019351 Loss_D_real: -0.029052 Loss_D_fake -0.002572
[478/5000][130/535][49059] Loss_D: -0.027331 Loss_G: -0.004608 Loss_D_real: 0.006679 Loss_D_fake 0.034009
[478/5000][135/535][49060] Loss_D: -0.026338 Loss_G: 0.029147 Loss_D_real: -0.026062 Loss_D_fake 0.000276
[478/5000][140/535][49061] Loss_D: -0.027510 Loss_G: 0.015313 Loss_D_real: -0.019739 Loss_D_fake 0.007771
[478/5000][145/535][49062] Loss_D: -0.026517 Loss_G: 0.014437 Loss_D_real: -0.014975 Loss_D_fake 0.011542
[478/5000][150/535][49063] Loss_D: -0.026669 Loss_G: 0.015176 Loss_D_real: -0.018198 Loss_D_fake 0.008471
[478/5000][155/535][49064] Loss_D: -0.027176 Loss_G: 0.004367 Loss_D_real: -0.021046 Loss_D_fake 0.006130
[478/5000][160/535][49065] Loss_D: -0.027186 Loss_G: 0.022010 Loss_D_real: -0.030672 Loss_D_fake -0.003486
[478/5000][165/535][49066] Loss_D: -0.028485 Loss_G: 0.018635 Loss_D_real: -0.024154 Loss_D_fake 0.004331
[478/5000][170/535][49067] Loss_D: -0.026257 Loss_G: 0.035539 Loss_D_real: -0.032337 Loss_D_fake -0.006080
[478/5000][175/535][49068] Loss_D: -0.025538 Loss_G: 0.009744 Loss_D_real: -0.011588 Loss_D_fake 0.013949
[478/5000][180/535][49069] Loss_D: -0.025914 Loss_G: 0.008575 Loss_D_real: -0.009198 Loss_D_fake 0.016716
[478/5000][185/535][49070] Loss_D: -0.026243 Loss_G: 0.022400 Loss_D_real: -0.020300 Loss_D_fake 0.005942
[478/5000][190/535][49071] Loss_D: -0.027278 Loss_G: 0.031030 Loss_D_real: -0.033764 Loss_D_fake -0.006485
[478/5000][195/535][49072] Loss_D: -0.026355 Loss_G: 0.024741 Loss_D_real: -0.023031 Loss_D_fake 0.003324
[478/5000][200/535][49073] Loss_D: -0.028786 Loss_G: 0.013539 Loss_D_real: -0.017135 Loss_D_fake 0.011651
[478/5000][205/535][49074] Loss_D: -0.029905 Loss_G: 0.022084 Loss_D_real: -0.024726 Loss_D_fake 0.005178
[478/5000][210/535][49075] Loss_D: -0.027549 Loss_G: -0.019768 Loss_D_real: -0.004611 Loss_D_fake 0.022938
[478/5000][215/535][49076] Loss_D: -0.027409 Loss_G: 0.025503 Loss_D_real: -0.019601 Loss_D_fake 0.007809
[478/5000][220/535][49077] Loss_D: -0.026412 Loss_G: 0.015040 Loss_D_real: -0.023107 Loss_D_fake 0.003305
[478/5000][225/535][49078] Loss_D: -0.028189 Loss_G: 0.005512 Loss_D_real: -0.014664 Loss_D_fake 0.013525
[478/5000][230/535][49079] Loss_D: -0.025602 Loss_G: 0.029669 Loss_D_real: -0.027338 Loss_D_fake -0.001737
[478/5000][235/535][49080] Loss_D: -0.025865 Loss_G: -0.008601 Loss_D_real: 0.002910 Loss_D_fake 0.028775
[478/5000][240/535][49081] Loss_D: -0.025364 Loss_G: 0.029646 Loss_D_real: -0.030342 Loss_D_fake -0.004978
[478/5000][245/535][49082] Loss_D: -0.027494 Loss_G: 0.027089 Loss_D_real: -0.020773 Loss_D_fake 0.006721
[478/5000][250/535][49083] Loss_D: -0.025041 Loss_G: 0.025014 Loss_D_real: -0.026854 Loss_D_fake -0.001813
[478/5000][255/535][49084] Loss_D: -0.027698 Loss_G: 0.012680 Loss_D_real: -0.020341 Loss_D_fake 0.007357
[478/5000][260/535][49085] Loss_D: -0.028203 Loss_G: 0.026254 Loss_D_real: -0.025528 Loss_D_fake 0.002675
[478/5000][265/535][49086] Loss_D: -0.026330 Loss_G: 0.013833 Loss_D_real: -0.022936 Loss_D_fake 0.003395
[478/5000][270/535][49087] Loss_D: -0.026781 Loss_G: -0.005977 Loss_D_real: -0.007173 Loss_D_fake 0.019609
[478/5000][275/535][49088] Loss_D: -0.024756 Loss_G: 0.037901 Loss_D_real: -0.035158 Loss_D_fake -0.010402
[478/5000][280/535][49089] Loss_D: -0.027392 Loss_G: 0.005998 Loss_D_real: -0.003692 Loss_D_fake 0.023700
[478/5000][285/535][49090] Loss_D: -0.025037 Loss_G: 0.040446 Loss_D_real: -0.038873 Loss_D_fake -0.013836
[478/5000][290/535][49091] Loss_D: -0.025675 Loss_G: -0.005889 Loss_D_real: -0.005053 Loss_D_fake 0.020622
[478/5000][295/535][49092] Loss_D: -0.025441 Loss_G: 0.030259 Loss_D_real: -0.027488 Loss_D_fake -0.002047
[478/5000][300/535][49093] Loss_D: -0.024952 Loss_G: 0.004359 Loss_D_real: -0.008903 Loss_D_fake 0.016049
[478/5000][305/535][49094] Loss_D: -0.026271 Loss_G: 0.016285 Loss_D_real: -0.023574 Loss_D_fake 0.002698
[478/5000][310/535][49095] Loss_D: -0.026060 Loss_G: 0.002315 Loss_D_real: -0.008059 Loss_D_fake 0.018002
[478/5000][315/535][49096] Loss_D: -0.027423 Loss_G: 0.013295 Loss_D_real: -0.007897 Loss_D_fake 0.019526
[478/5000][320/535][49097] Loss_D: -0.025301 Loss_G: 0.013263 Loss_D_real: -0.024451 Loss_D_fake 0.000850
[478/5000][325/535][49098] Loss_D: -0.027629 Loss_G: -0.006667 Loss_D_real: -0.008015 Loss_D_fake 0.019614
[478/5000][330/535][49099] Loss_D: -0.025811 Loss_G: 0.022835 Loss_D_real: -0.017120 Loss_D_fake 0.008692
[478/5000][335/535][49100] Loss_D: -0.026633 Loss_G: -0.011648 Loss_D_real: -0.012679 Loss_D_fake 0.013954
[478/5000][340/535][49101] Loss_D: -0.026736 Loss_G: 0.020484 Loss_D_real: -0.022935 Loss_D_fake 0.003801
[478/5000][345/535][49102] Loss_D: -0.027496 Loss_G: 0.032769 Loss_D_real: -0.028250 Loss_D_fake -0.000755
[478/5000][350/535][49103] Loss_D: -0.026756 Loss_G: -0.005621 Loss_D_real: -0.009526 Loss_D_fake 0.017230
[478/5000][355/535][49104] Loss_D: -0.025945 Loss_G: 0.026227 Loss_D_real: -0.033087 Loss_D_fake -0.007142
[478/5000][360/535][49105] Loss_D: -0.025331 Loss_G: -0.001756 Loss_D_real: -0.010388 Loss_D_fake 0.014944
[478/5000][365/535][49106] Loss_D: -0.027625 Loss_G: 0.009039 Loss_D_real: -0.014709 Loss_D_fake 0.012916
[478/5000][370/535][49107] Loss_D: -0.027839 Loss_G: 0.018623 Loss_D_real: -0.021329 Loss_D_fake 0.006510
[478/5000][375/535][49108] Loss_D: -0.026176 Loss_G: 0.030213 Loss_D_real: -0.032533 Loss_D_fake -0.006357
[478/5000][380/535][49109] Loss_D: -0.026892 Loss_G: 0.023539 Loss_D_real: -0.028132 Loss_D_fake -0.001240
[478/5000][385/535][49110] Loss_D: -0.025888 Loss_G: -0.002262 Loss_D_real: -0.000343 Loss_D_fake 0.025546
[478/5000][390/535][49111] Loss_D: -0.026115 Loss_G: 0.005730 Loss_D_real: -0.016548 Loss_D_fake 0.009567
[478/5000][395/535][49112] Loss_D: -0.027319 Loss_G: 0.027853 Loss_D_real: -0.030965 Loss_D_fake -0.003646
[478/5000][400/535][49113] Loss_D: -0.028758 Loss_G: 0.010985 Loss_D_real: -0.005540 Loss_D_fake 0.023218
[478/5000][405/535][49114] Loss_D: -0.026569 Loss_G: -0.001774 Loss_D_real: -0.003190 Loss_D_fake 0.023378
[478/5000][410/535][49115] Loss_D: -0.025604 Loss_G: 0.025888 Loss_D_real: -0.026663 Loss_D_fake -0.001059
[478/5000][415/535][49116] Loss_D: -0.028480 Loss_G: 0.004229 Loss_D_real: -0.002621 Loss_D_fake 0.025860
[478/5000][420/535][49117] Loss_D: -0.025207 Loss_G: 0.007387 Loss_D_real: -0.017066 Loss_D_fake 0.008141
[478/5000][425/535][49118] Loss_D: -0.027095 Loss_G: 0.001936 Loss_D_real: -0.014951 Loss_D_fake 0.012145
[478/5000][430/535][49119] Loss_D: -0.025682 Loss_G: 0.005193 Loss_D_real: -0.010898 Loss_D_fake 0.014784
[478/5000][435/535][49120] Loss_D: -0.026224 Loss_G: 0.041809 Loss_D_real: -0.032456 Loss_D_fake -0.006232
[478/5000][440/535][49121] Loss_D: -0.026222 Loss_G: -0.000616 Loss_D_real: -0.009746 Loss_D_fake 0.016475
[478/5000][445/535][49122] Loss_D: -0.027551 Loss_G: 0.018395 Loss_D_real: -0.017138 Loss_D_fake 0.010413
[478/5000][450/535][49123] Loss_D: -0.028688 Loss_G: 0.005722 Loss_D_real: -0.009118 Loss_D_fake 0.019570
[478/5000][455/535][49124] Loss_D: -0.027048 Loss_G: 0.024550 Loss_D_real: -0.027959 Loss_D_fake -0.000911
[478/5000][460/535][49125] Loss_D: -0.026376 Loss_G: -0.005916 Loss_D_real: -0.001502 Loss_D_fake 0.024874
[478/5000][465/535][49126] Loss_D: -0.025560 Loss_G: 0.006123 Loss_D_real: -0.017807 Loss_D_fake 0.007753
[478/5000][470/535][49127] Loss_D: -0.027290 Loss_G: 0.007585 Loss_D_real: -0.007521 Loss_D_fake 0.019770
[478/5000][475/535][49128] Loss_D: -0.027817 Loss_G: -0.002878 Loss_D_real: -0.005013 Loss_D_fake 0.022805
[478/5000][480/535][49129] Loss_D: -0.028338 Loss_G: 0.023637 Loss_D_real: -0.019398 Loss_D_fake 0.008940
[478/5000][485/535][49130] Loss_D: -0.027972 Loss_G: 0.020934 Loss_D_real: -0.019210 Loss_D_fake 0.008761
[478/5000][490/535][49131] Loss_D: -0.028543 Loss_G: 0.003859 Loss_D_real: -0.014519 Loss_D_fake 0.014024
[478/5000][495/535][49132] Loss_D: -0.026760 Loss_G: -0.000893 Loss_D_real: -0.010104 Loss_D_fake 0.016656
[478/5000][500/535][49133] Loss_D: -0.027395 Loss_G: 0.015684 Loss_D_real: -0.018369 Loss_D_fake 0.009026
[478/5000][505/535][49134] Loss_D: -0.027838 Loss_G: 0.001717 Loss_D_real: -0.010156 Loss_D_fake 0.017682
[478/5000][510/535][49135] Loss_D: -0.028454 Loss_G: 0.022617 Loss_D_real: -0.020435 Loss_D_fake 0.008019
[478/5000][515/535][49136] Loss_D: -0.028596 Loss_G: 0.019000 Loss_D_real: -0.023806 Loss_D_fake 0.004789
[478/5000][520/535][49137] Loss_D: -0.027840 Loss_G: 0.019065 Loss_D_real: -0.027772 Loss_D_fake 0.000068
[478/5000][525/535][49138] Loss_D: -0.024907 Loss_G: -0.013773 Loss_D_real: 0.007955 Loss_D_fake 0.032862
[478/5000][530/535][49139] Loss_D: -0.028316 Loss_G: 0.020616 Loss_D_real: -0.015766 Loss_D_fake 0.012549
[478/5000][535/535][49140] Loss_D: -0.029710 Loss_G: 0.006448 Loss_D_real: -0.016847 Loss_D_fake 0.012863
[479/5000][5/535][49141] Loss_D: -0.027889 Loss_G: 0.022642 Loss_D_real: -0.016564 Loss_D_fake 0.011325
[479/5000][10/535][49142] Loss_D: -0.026703 Loss_G: -0.008555 Loss_D_real: 0.002674 Loss_D_fake 0.029377
[479/5000][15/535][49143] Loss_D: -0.027967 Loss_G: 0.023881 Loss_D_real: -0.017953 Loss_D_fake 0.010014
[479/5000][20/535][49144] Loss_D: -0.024889 Loss_G: -0.008778 Loss_D_real: 0.005554 Loss_D_fake 0.030444
[479/5000][25/535][49145] Loss_D: -0.024727 Loss_G: 0.023285 Loss_D_real: -0.030008 Loss_D_fake -0.005281
[479/5000][30/535][49146] Loss_D: -0.025434 Loss_G: 0.009960 Loss_D_real: -0.006741 Loss_D_fake 0.018693
[479/5000][35/535][49147] Loss_D: -0.026211 Loss_G: -0.009246 Loss_D_real: -0.007806 Loss_D_fake 0.018406
[479/5000][40/535][49148] Loss_D: -0.026774 Loss_G: 0.025654 Loss_D_real: -0.019895 Loss_D_fake 0.006878
[479/5000][45/535][49149] Loss_D: -0.026739 Loss_G: 0.015145 Loss_D_real: -0.025780 Loss_D_fake 0.000960
[479/5000][50/535][49150] Loss_D: -0.027193 Loss_G: -0.002662 Loss_D_real: -0.005586 Loss_D_fake 0.021608
[479/5000][55/535][49151] Loss_D: -0.025699 Loss_G: 0.007040 Loss_D_real: -0.012579 Loss_D_fake 0.013120
[479/5000][60/535][49152] Loss_D: -0.028022 Loss_G: 0.015375 Loss_D_real: -0.022179 Loss_D_fake 0.005843
[479/5000][65/535][49153] Loss_D: -0.028551 Loss_G: 0.010762 Loss_D_real: -0.007563 Loss_D_fake 0.020987
[479/5000][70/535][49154] Loss_D: -0.026980 Loss_G: 0.010535 Loss_D_real: -0.015259 Loss_D_fake 0.011721
[479/5000][75/535][49155] Loss_D: -0.026682 Loss_G: 0.032043 Loss_D_real: -0.038997 Loss_D_fake -0.012315
[479/5000][80/535][49156] Loss_D: -0.028527 Loss_G: 0.007195 Loss_D_real: -0.009762 Loss_D_fake 0.018765
[479/5000][85/535][49157] Loss_D: -0.025669 Loss_G: 0.020763 Loss_D_real: -0.024230 Loss_D_fake 0.001438
[479/5000][90/535][49158] Loss_D: -0.026057 Loss_G: 0.029764 Loss_D_real: -0.026892 Loss_D_fake -0.000835
[479/5000][95/535][49159] Loss_D: -0.028308 Loss_G: 0.011712 Loss_D_real: -0.013245 Loss_D_fake 0.015063
[479/5000][100/535][49160] Loss_D: -0.027540 Loss_G: 0.012401 Loss_D_real: -0.018077 Loss_D_fake 0.009463
[479/5000][105/535][49161] Loss_D: -0.027958 Loss_G: 0.031718 Loss_D_real: -0.024082 Loss_D_fake 0.003876
[479/5000][110/535][49162] Loss_D: -0.025682 Loss_G: 0.015389 Loss_D_real: -0.022000 Loss_D_fake 0.003682
[479/5000][115/535][49163] Loss_D: -0.026593 Loss_G: 0.028282 Loss_D_real: -0.028391 Loss_D_fake -0.001798
[479/5000][120/535][49164] Loss_D: -0.027612 Loss_G: -0.012510 Loss_D_real: -0.007746 Loss_D_fake 0.019866
[479/5000][125/535][49165] Loss_D: -0.025213 Loss_G: 0.038652 Loss_D_real: -0.037065 Loss_D_fake -0.011852
[479/5000][130/535][49166] Loss_D: -0.025843 Loss_G: -0.009195 Loss_D_real: 0.006147 Loss_D_fake 0.031990
[479/5000][135/535][49167] Loss_D: -0.027316 Loss_G: 0.013857 Loss_D_real: -0.016722 Loss_D_fake 0.010594
[479/5000][140/535][49168] Loss_D: -0.026684 Loss_G: 0.029776 Loss_D_real: -0.027053 Loss_D_fake -0.000369
[479/5000][145/535][49169] Loss_D: -0.026394 Loss_G: 0.010814 Loss_D_real: -0.014344 Loss_D_fake 0.012050
[479/5000][150/535][49170] Loss_D: -0.028383 Loss_G: 0.039651 Loss_D_real: -0.026077 Loss_D_fake 0.002306
[479/5000][155/535][49171] Loss_D: -0.025195 Loss_G: 0.028761 Loss_D_real: -0.018792 Loss_D_fake 0.006402
[479/5000][160/535][49172] Loss_D: -0.026292 Loss_G: 0.015043 Loss_D_real: -0.024833 Loss_D_fake 0.001459
[479/5000][165/535][49173] Loss_D: -0.027126 Loss_G: -0.003802 Loss_D_real: 0.002850 Loss_D_fake 0.029976
[479/5000][170/535][49174] Loss_D: -0.027066 Loss_G: 0.013906 Loss_D_real: -0.008323 Loss_D_fake 0.018742
[479/5000][175/535][49175] Loss_D: -0.027251 Loss_G: -0.008413 Loss_D_real: -0.012631 Loss_D_fake 0.014620
[479/5000][180/535][49176] Loss_D: -0.026442 Loss_G: 0.016651 Loss_D_real: -0.027648 Loss_D_fake -0.001206
[479/5000][185/535][49177] Loss_D: -0.027047 Loss_G: 0.014723 Loss_D_real: -0.013748 Loss_D_fake 0.013300
[479/5000][190/535][49178] Loss_D: -0.027384 Loss_G: 0.006059 Loss_D_real: -0.004680 Loss_D_fake 0.022704
[479/5000][195/535][49179] Loss_D: -0.028636 Loss_G: 0.004409 Loss_D_real: -0.015633 Loss_D_fake 0.013003
[479/5000][200/535][49180] Loss_D: -0.027744 Loss_G: 0.023323 Loss_D_real: -0.023030 Loss_D_fake 0.004714
[479/5000][205/535][49181] Loss_D: -0.029118 Loss_G: -0.001553 Loss_D_real: 0.004890 Loss_D_fake 0.034008
[479/5000][210/535][49182] Loss_D: -0.028576 Loss_G: 0.018866 Loss_D_real: -0.020299 Loss_D_fake 0.008276
[479/5000][215/535][49183] Loss_D: -0.025706 Loss_G: 0.037662 Loss_D_real: -0.037970 Loss_D_fake -0.012264
[479/5000][220/535][49184] Loss_D: -0.026904 Loss_G: 0.024769 Loss_D_real: -0.020645 Loss_D_fake 0.006259
[479/5000][225/535][49185] Loss_D: -0.026793 Loss_G: 0.023285 Loss_D_real: -0.019183 Loss_D_fake 0.007610
[479/5000][230/535][49186] Loss_D: -0.028507 Loss_G: 0.008556 Loss_D_real: -0.004226 Loss_D_fake 0.024281
[479/5000][235/535][49187] Loss_D: -0.026957 Loss_G: 0.031710 Loss_D_real: -0.024673 Loss_D_fake 0.002284
[479/5000][240/535][49188] Loss_D: -0.027975 Loss_G: -0.012225 Loss_D_real: -0.001850 Loss_D_fake 0.026125
[479/5000][245/535][49189] Loss_D: -0.026194 Loss_G: 0.023601 Loss_D_real: -0.035013 Loss_D_fake -0.008819
[479/5000][250/535][49190] Loss_D: -0.026918 Loss_G: 0.018668 Loss_D_real: -0.021719 Loss_D_fake 0.005198
[479/5000][255/535][49191] Loss_D: -0.027417 Loss_G: -0.001478 Loss_D_real: -0.006310 Loss_D_fake 0.021106
[479/5000][260/535][49192] Loss_D: -0.027073 Loss_G: 0.024669 Loss_D_real: -0.029712 Loss_D_fake -0.002639
[479/5000][265/535][49193] Loss_D: -0.027889 Loss_G: -0.009522 Loss_D_real: -0.005643 Loss_D_fake 0.022246
[479/5000][270/535][49194] Loss_D: -0.027409 Loss_G: 0.000477 Loss_D_real: -0.003098 Loss_D_fake 0.024311
[479/5000][275/535][49195] Loss_D: -0.028478 Loss_G: 0.022939 Loss_D_real: -0.027497 Loss_D_fake 0.000981
[479/5000][280/535][49196] Loss_D: -0.027367 Loss_G: 0.020381 Loss_D_real: -0.010775 Loss_D_fake 0.016592
[479/5000][285/535][49197] Loss_D: -0.027868 Loss_G: 0.008210 Loss_D_real: -0.012927 Loss_D_fake 0.014942
[479/5000][290/535][49198] Loss_D: -0.026811 Loss_G: 0.011787 Loss_D_real: -0.015221 Loss_D_fake 0.011590
[479/5000][295/535][49199] Loss_D: -0.028466 Loss_G: 0.021070 Loss_D_real: -0.022028 Loss_D_fake 0.006438
[479/5000][300/535][49200] Loss_D: -0.027157 Loss_G: -0.010203 Loss_D_real: -0.000457 Loss_D_fake 0.026701
[479/5000][305/535][49201] Loss_D: -0.026537 Loss_G: 0.023094 Loss_D_real: -0.023483 Loss_D_fake 0.003054
[479/5000][310/535][49202] Loss_D: -0.027530 Loss_G: 0.001959 Loss_D_real: -0.003677 Loss_D_fake 0.023854
[479/5000][315/535][49203] Loss_D: -0.027987 Loss_G: 0.022354 Loss_D_real: -0.012518 Loss_D_fake 0.015470
[479/5000][320/535][49204] Loss_D: -0.026155 Loss_G: 0.031604 Loss_D_real: -0.023544 Loss_D_fake 0.002611
[479/5000][325/535][49205] Loss_D: -0.026638 Loss_G: -0.003410 Loss_D_real: 0.003279 Loss_D_fake 0.029917
[479/5000][330/535][49206] Loss_D: -0.025389 Loss_G: -0.004337 Loss_D_real: 0.002390 Loss_D_fake 0.027779
[479/5000][335/535][49207] Loss_D: -0.027361 Loss_G: 0.014245 Loss_D_real: -0.010872 Loss_D_fake 0.016488
[479/5000][340/535][49208] Loss_D: -0.027591 Loss_G: 0.016932 Loss_D_real: -0.023619 Loss_D_fake 0.003972
[479/5000][345/535][49209] Loss_D: -0.025790 Loss_G: -0.011431 Loss_D_real: 0.009678 Loss_D_fake 0.035468
[479/5000][350/535][49210] Loss_D: -0.024257 Loss_G: 0.035889 Loss_D_real: -0.025986 Loss_D_fake -0.001729
[479/5000][355/535][49211] Loss_D: -0.027564 Loss_G: 0.003325 Loss_D_real: -0.013140 Loss_D_fake 0.014423
[479/5000][360/535][49212] Loss_D: -0.027460 Loss_G: 0.037246 Loss_D_real: -0.023633 Loss_D_fake 0.003827
[479/5000][365/535][49213] Loss_D: -0.029429 Loss_G: 0.008261 Loss_D_real: -0.008694 Loss_D_fake 0.020735
[479/5000][370/535][49214] Loss_D: -0.026250 Loss_G: 0.034978 Loss_D_real: -0.040200 Loss_D_fake -0.013950
[479/5000][375/535][49215] Loss_D: -0.028031 Loss_G: 0.015268 Loss_D_real: -0.016104 Loss_D_fake 0.011928
[479/5000][380/535][49216] Loss_D: -0.026248 Loss_G: -0.009864 Loss_D_real: 0.003337 Loss_D_fake 0.029585
[479/5000][385/535][49217] Loss_D: -0.027357 Loss_G: 0.011903 Loss_D_real: -0.011336 Loss_D_fake 0.016021
[479/5000][390/535][49218] Loss_D: -0.027830 Loss_G: 0.034697 Loss_D_real: -0.028924 Loss_D_fake -0.001094
[479/5000][395/535][49219] Loss_D: -0.027895 Loss_G: 0.010096 Loss_D_real: -0.013931 Loss_D_fake 0.013964
[479/5000][400/535][49220] Loss_D: -0.025752 Loss_G: -0.006776 Loss_D_real: -0.001788 Loss_D_fake 0.023964
[479/5000][405/535][49221] Loss_D: -0.028096 Loss_G: 0.030751 Loss_D_real: -0.030336 Loss_D_fake -0.002241
[479/5000][410/535][49222] Loss_D: -0.028355 Loss_G: 0.001980 Loss_D_real: -0.004804 Loss_D_fake 0.023551
[479/5000][415/535][49223] Loss_D: -0.026868 Loss_G: 0.028156 Loss_D_real: -0.029324 Loss_D_fake -0.002456
[479/5000][420/535][49224] Loss_D: -0.026628 Loss_G: 0.025893 Loss_D_real: -0.021087 Loss_D_fake 0.005541
[479/5000][425/535][49225] Loss_D: -0.029007 Loss_G: 0.008281 Loss_D_real: -0.013460 Loss_D_fake 0.015547
[479/5000][430/535][49226] Loss_D: -0.026144 Loss_G: 0.017977 Loss_D_real: -0.013715 Loss_D_fake 0.012430
[479/5000][435/535][49227] Loss_D: -0.026761 Loss_G: 0.028234 Loss_D_real: -0.032063 Loss_D_fake -0.005302
[479/5000][440/535][49228] Loss_D: -0.026399 Loss_G: 0.000442 Loss_D_real: -0.003099 Loss_D_fake 0.023299
[479/5000][445/535][49229] Loss_D: -0.027132 Loss_G: 0.019675 Loss_D_real: -0.025463 Loss_D_fake 0.001669
[479/5000][450/535][49230] Loss_D: -0.027545 Loss_G: 0.020523 Loss_D_real: -0.026090 Loss_D_fake 0.001454
[479/5000][455/535][49231] Loss_D: -0.026820 Loss_G: 0.006516 Loss_D_real: -0.013903 Loss_D_fake 0.012917
[479/5000][460/535][49232] Loss_D: -0.026786 Loss_G: 0.027969 Loss_D_real: -0.028945 Loss_D_fake -0.002158
[479/5000][465/535][49233] Loss_D: -0.026631 Loss_G: 0.007906 Loss_D_real: -0.022177 Loss_D_fake 0.004454
[479/5000][470/535][49234] Loss_D: -0.027329 Loss_G: 0.008220 Loss_D_real: -0.017948 Loss_D_fake 0.009381
[479/5000][475/535][49235] Loss_D: -0.026390 Loss_G: 0.001546 Loss_D_real: -0.001934 Loss_D_fake 0.024456
[479/5000][480/535][49236] Loss_D: -0.026492 Loss_G: 0.012295 Loss_D_real: -0.015838 Loss_D_fake 0.010653
[479/5000][485/535][49237] Loss_D: -0.026805 Loss_G: 0.030620 Loss_D_real: -0.031613 Loss_D_fake -0.004808
[479/5000][490/535][49238] Loss_D: -0.028458 Loss_G: 0.001875 Loss_D_real: -0.001632 Loss_D_fake 0.026826
[479/5000][495/535][49239] Loss_D: -0.026880 Loss_G: 0.023413 Loss_D_real: -0.028070 Loss_D_fake -0.001190
[479/5000][500/535][49240] Loss_D: -0.026871 Loss_G: 0.026768 Loss_D_real: -0.025884 Loss_D_fake 0.000987
[479/5000][505/535][49241] Loss_D: -0.028602 Loss_G: 0.018705 Loss_D_real: -0.025547 Loss_D_fake 0.003055
[479/5000][510/535][49242] Loss_D: -0.027088 Loss_G: 0.028463 Loss_D_real: -0.030175 Loss_D_fake -0.003087
[479/5000][515/535][49243] Loss_D: -0.027867 Loss_G: 0.005678 Loss_D_real: -0.017300 Loss_D_fake 0.010567
[479/5000][520/535][49244] Loss_D: -0.026256 Loss_G: 0.034245 Loss_D_real: -0.031328 Loss_D_fake -0.005072
[479/5000][525/535][49245] Loss_D: -0.026900 Loss_G: 0.012977 Loss_D_real: -0.004698 Loss_D_fake 0.022202
[479/5000][530/535][49246] Loss_D: -0.027301 Loss_G: -0.001640 Loss_D_real: -0.008278 Loss_D_fake 0.019023
[479/5000][535/535][49247] Loss_D: -0.024516 Loss_G: -0.007861 Loss_D_real: -0.017864 Loss_D_fake 0.006652
[480/5000][5/535][49248] Loss_D: -0.027812 Loss_G: 0.015053 Loss_D_real: -0.021583 Loss_D_fake 0.006229
[480/5000][10/535][49249] Loss_D: -0.028110 Loss_G: 0.008478 Loss_D_real: -0.022468 Loss_D_fake 0.005642
[480/5000][15/535][49250] Loss_D: -0.026699 Loss_G: 0.021652 Loss_D_real: -0.026432 Loss_D_fake 0.000267
[480/5000][20/535][49251] Loss_D: -0.026043 Loss_G: 0.001046 Loss_D_real: -0.011185 Loss_D_fake 0.014858
[480/5000][25/535][49252] Loss_D: -0.027754 Loss_G: 0.030549 Loss_D_real: -0.023362 Loss_D_fake 0.004392
[480/5000][30/535][49253] Loss_D: -0.027261 Loss_G: 0.002059 Loss_D_real: -0.010732 Loss_D_fake 0.016529
[480/5000][35/535][49254] Loss_D: -0.027231 Loss_G: 0.011799 Loss_D_real: -0.018525 Loss_D_fake 0.008706
[480/5000][40/535][49255] Loss_D: -0.027225 Loss_G: 0.032550 Loss_D_real: -0.036632 Loss_D_fake -0.009406
[480/5000][45/535][49256] Loss_D: -0.028345 Loss_G: 0.007519 Loss_D_real: -0.013004 Loss_D_fake 0.015342
[480/5000][50/535][49257] Loss_D: -0.027398 Loss_G: 0.011664 Loss_D_real: -0.015530 Loss_D_fake 0.011868
[480/5000][55/535][49258] Loss_D: -0.025886 Loss_G: 0.027709 Loss_D_real: -0.023293 Loss_D_fake 0.002593
[480/5000][60/535][49259] Loss_D: -0.027479 Loss_G: 0.009781 Loss_D_real: -0.009604 Loss_D_fake 0.017874
[480/5000][65/535][49260] Loss_D: -0.027307 Loss_G: 0.025085 Loss_D_real: -0.023959 Loss_D_fake 0.003348
[480/5000][70/535][49261] Loss_D: -0.027006 Loss_G: 0.008378 Loss_D_real: -0.013726 Loss_D_fake 0.013280
[480/5000][75/535][49262] Loss_D: -0.027379 Loss_G: 0.023193 Loss_D_real: -0.019561 Loss_D_fake 0.007818
[480/5000][80/535][49263] Loss_D: -0.026074 Loss_G: 0.022383 Loss_D_real: -0.026959 Loss_D_fake -0.000885
[480/5000][85/535][49264] Loss_D: -0.025925 Loss_G: 0.008473 Loss_D_real: -0.002254 Loss_D_fake 0.023671
[480/5000][90/535][49265] Loss_D: -0.027440 Loss_G: 0.008014 Loss_D_real: -0.018518 Loss_D_fake 0.008921
[480/5000][95/535][49266] Loss_D: -0.027081 Loss_G: 0.026212 Loss_D_real: -0.019082 Loss_D_fake 0.007999
[480/5000][100/535][49267] Loss_D: -0.027735 Loss_G: 0.003228 Loss_D_real: -0.009952 Loss_D_fake 0.017783
[480/5000][105/535][49268] Loss_D: -0.025935 Loss_G: 0.015242 Loss_D_real: -0.035775 Loss_D_fake -0.009840
[480/5000][110/535][49269] Loss_D: -0.027820 Loss_G: 0.002562 Loss_D_real: -0.007316 Loss_D_fake 0.020504
[480/5000][115/535][49270] Loss_D: -0.027923 Loss_G: -0.000673 Loss_D_real: -0.012527 Loss_D_fake 0.015396
[480/5000][120/535][49271] Loss_D: -0.029045 Loss_G: -0.001676 Loss_D_real: -0.011437 Loss_D_fake 0.017608
[480/5000][125/535][49272] Loss_D: -0.027114 Loss_G: 0.022430 Loss_D_real: -0.032159 Loss_D_fake -0.005045
[480/5000][130/535][49273] Loss_D: -0.026902 Loss_G: 0.028347 Loss_D_real: -0.031758 Loss_D_fake -0.004856
[480/5000][135/535][49274] Loss_D: -0.029009 Loss_G: 0.003258 Loss_D_real: -0.011150 Loss_D_fake 0.017859
[480/5000][140/535][49275] Loss_D: -0.026302 Loss_G: -0.007596 Loss_D_real: -0.012092 Loss_D_fake 0.014209
[480/5000][145/535][49276] Loss_D: -0.027582 Loss_G: -0.005413 Loss_D_real: 0.000332 Loss_D_fake 0.027914
[480/5000][150/535][49277] Loss_D: -0.025434 Loss_G: -0.002610 Loss_D_real: 0.006500 Loss_D_fake 0.031933
[480/5000][155/535][49278] Loss_D: -0.027393 Loss_G: 0.012777 Loss_D_real: -0.020422 Loss_D_fake 0.006972
[480/5000][160/535][49279] Loss_D: -0.028603 Loss_G: 0.013707 Loss_D_real: -0.022903 Loss_D_fake 0.005701
[480/5000][165/535][49280] Loss_D: -0.027982 Loss_G: 0.027580 Loss_D_real: -0.031383 Loss_D_fake -0.003401
[480/5000][170/535][49281] Loss_D: -0.027727 Loss_G: 0.002165 Loss_D_real: 0.000193 Loss_D_fake 0.027920
[480/5000][175/535][49282] Loss_D: -0.026584 Loss_G: 0.012292 Loss_D_real: -0.024338 Loss_D_fake 0.002246
[480/5000][180/535][49283] Loss_D: -0.023751 Loss_G: 0.044227 Loss_D_real: -0.034206 Loss_D_fake -0.010455
[480/5000][185/535][49284] Loss_D: -0.025804 Loss_G: -0.013365 Loss_D_real: -0.010774 Loss_D_fake 0.015031
[480/5000][190/535][49285] Loss_D: -0.026680 Loss_G: 0.025322 Loss_D_real: -0.033907 Loss_D_fake -0.007226
[480/5000][195/535][49286] Loss_D: -0.026946 Loss_G: 0.021620 Loss_D_real: -0.019007 Loss_D_fake 0.007940
[480/5000][200/535][49287] Loss_D: -0.025796 Loss_G: 0.034237 Loss_D_real: -0.027117 Loss_D_fake -0.001320
[480/5000][205/535][49288] Loss_D: -0.028907 Loss_G: 0.023751 Loss_D_real: -0.013309 Loss_D_fake 0.015598
[480/5000][210/535][49289] Loss_D: -0.026353 Loss_G: 0.035117 Loss_D_real: -0.032241 Loss_D_fake -0.005889
[480/5000][215/535][49290] Loss_D: -0.026592 Loss_G: -0.015534 Loss_D_real: 0.002624 Loss_D_fake 0.029216
[480/5000][220/535][49291] Loss_D: -0.025057 Loss_G: 0.013258 Loss_D_real: -0.012222 Loss_D_fake 0.012836
[480/5000][225/535][49292] Loss_D: -0.026637 Loss_G: 0.007981 Loss_D_real: -0.015305 Loss_D_fake 0.011332
[480/5000][230/535][49293] Loss_D: -0.024872 Loss_G: 0.022499 Loss_D_real: -0.028581 Loss_D_fake -0.003708
[480/5000][235/535][49294] Loss_D: -0.026464 Loss_G: -0.003183 Loss_D_real: -0.005917 Loss_D_fake 0.020548
[480/5000][240/535][49295] Loss_D: -0.027533 Loss_G: 0.016560 Loss_D_real: -0.009480 Loss_D_fake 0.018053
[480/5000][245/535][49296] Loss_D: -0.026378 Loss_G: 0.030739 Loss_D_real: -0.027150 Loss_D_fake -0.000772
[480/5000][250/535][49297] Loss_D: -0.025119 Loss_G: -0.008513 Loss_D_real: -0.002703 Loss_D_fake 0.022416
[480/5000][255/535][49298] Loss_D: -0.026539 Loss_G: 0.017747 Loss_D_real: -0.022045 Loss_D_fake 0.004494
[480/5000][260/535][49299] Loss_D: -0.026216 Loss_G: 0.000330 Loss_D_real: -0.005309 Loss_D_fake 0.020907
[480/5000][265/535][49300] Loss_D: -0.024785 Loss_G: 0.030986 Loss_D_real: -0.037052 Loss_D_fake -0.012267
[480/5000][270/535][49301] Loss_D: -0.025428 Loss_G: 0.029413 Loss_D_real: -0.022720 Loss_D_fake 0.002708
[480/5000][275/535][49302] Loss_D: -0.028856 Loss_G: -0.002619 Loss_D_real: -0.018225 Loss_D_fake 0.010632
[480/5000][280/535][49303] Loss_D: -0.027306 Loss_G: 0.031566 Loss_D_real: -0.023421 Loss_D_fake 0.003886
[480/5000][285/535][49304] Loss_D: -0.027598 Loss_G: -0.000573 Loss_D_real: -0.010943 Loss_D_fake 0.016655
[480/5000][290/535][49305] Loss_D: -0.025583 Loss_G: 0.036932 Loss_D_real: -0.038944 Loss_D_fake -0.013361
[480/5000][295/535][49306] Loss_D: -0.026876 Loss_G: 0.015194 Loss_D_real: -0.024081 Loss_D_fake 0.002795
[480/5000][300/535][49307] Loss_D: -0.025613 Loss_G: 0.025200 Loss_D_real: -0.015502 Loss_D_fake 0.010110
[480/5000][305/535][49308] Loss_D: -0.026096 Loss_G: -0.010881 Loss_D_real: 0.000743 Loss_D_fake 0.026839
[480/5000][310/535][49309] Loss_D: -0.026921 Loss_G: 0.015514 Loss_D_real: -0.015889 Loss_D_fake 0.011032
[480/5000][315/535][49310] Loss_D: -0.025359 Loss_G: 0.007380 Loss_D_real: -0.007041 Loss_D_fake 0.018317
[480/5000][320/535][49311] Loss_D: -0.028100 Loss_G: 0.016989 Loss_D_real: -0.024415 Loss_D_fake 0.003685
[480/5000][325/535][49312] Loss_D: -0.027303 Loss_G: 0.003871 Loss_D_real: -0.010288 Loss_D_fake 0.017016
[480/5000][330/535][49313] Loss_D: -0.027334 Loss_G: -0.003235 Loss_D_real: -0.006084 Loss_D_fake 0.021250
[480/5000][335/535][49314] Loss_D: -0.026708 Loss_G: 0.029109 Loss_D_real: -0.026330 Loss_D_fake 0.000378
[480/5000][340/535][49315] Loss_D: -0.027264 Loss_G: -0.010995 Loss_D_real: 0.000810 Loss_D_fake 0.028073
[480/5000][345/535][49316] Loss_D: -0.026912 Loss_G: 0.028977 Loss_D_real: -0.023477 Loss_D_fake 0.003435
[480/5000][350/535][49317] Loss_D: -0.026903 Loss_G: 0.020175 Loss_D_real: -0.020370 Loss_D_fake 0.006533
[480/5000][355/535][49318] Loss_D: -0.027995 Loss_G: 0.005987 Loss_D_real: -0.011959 Loss_D_fake 0.016035
[480/5000][360/535][49319] Loss_D: -0.026971 Loss_G: 0.010905 Loss_D_real: -0.014000 Loss_D_fake 0.012971
[480/5000][365/535][49320] Loss_D: -0.027109 Loss_G: -0.008158 Loss_D_real: -0.003542 Loss_D_fake 0.023567
[480/5000][370/535][49321] Loss_D: -0.026797 Loss_G: 0.009714 Loss_D_real: -0.015684 Loss_D_fake 0.011113
[480/5000][375/535][49322] Loss_D: -0.025932 Loss_G: -0.000518 Loss_D_real: -0.009174 Loss_D_fake 0.016758
[480/5000][380/535][49323] Loss_D: -0.026453 Loss_G: 0.036163 Loss_D_real: -0.029197 Loss_D_fake -0.002744
[480/5000][385/535][49324] Loss_D: -0.026890 Loss_G: 0.023060 Loss_D_real: -0.029424 Loss_D_fake -0.002534
[480/5000][390/535][49325] Loss_D: -0.029023 Loss_G: 0.008416 Loss_D_real: -0.025575 Loss_D_fake 0.003449
[480/5000][395/535][49326] Loss_D: -0.028683 Loss_G: -0.016663 Loss_D_real: -0.002407 Loss_D_fake 0.026276
[480/5000][400/535][49327] Loss_D: -0.025582 Loss_G: 0.027659 Loss_D_real: -0.029185 Loss_D_fake -0.003603
[480/5000][405/535][49328] Loss_D: -0.025890 Loss_G: 0.019774 Loss_D_real: -0.017846 Loss_D_fake 0.008044
[480/5000][410/535][49329] Loss_D: -0.026293 Loss_G: 0.039256 Loss_D_real: -0.035119 Loss_D_fake -0.008826
[480/5000][415/535][49330] Loss_D: -0.025769 Loss_G: 0.001384 Loss_D_real: -0.007493 Loss_D_fake 0.018276
[480/5000][420/535][49331] Loss_D: -0.026892 Loss_G: 0.017771 Loss_D_real: -0.019279 Loss_D_fake 0.007613
[480/5000][425/535][49332] Loss_D: -0.026918 Loss_G: 0.003659 Loss_D_real: -0.015932 Loss_D_fake 0.010985
[480/5000][430/535][49333] Loss_D: -0.027844 Loss_G: 0.026526 Loss_D_real: -0.023312 Loss_D_fake 0.004533
[480/5000][435/535][49334] Loss_D: -0.028084 Loss_G: 0.004343 Loss_D_real: -0.004870 Loss_D_fake 0.023214
[480/5000][440/535][49335] Loss_D: -0.027345 Loss_G: 0.021885 Loss_D_real: -0.036633 Loss_D_fake -0.009288
[480/5000][445/535][49336] Loss_D: -0.027886 Loss_G: 0.016963 Loss_D_real: -0.017698 Loss_D_fake 0.010189
[480/5000][450/535][49337] Loss_D: -0.027708 Loss_G: 0.000815 Loss_D_real: -0.010957 Loss_D_fake 0.016752
[480/5000][455/535][49338] Loss_D: -0.028003 Loss_G: 0.019945 Loss_D_real: -0.021315 Loss_D_fake 0.006688
[480/5000][460/535][49339] Loss_D: -0.026904 Loss_G: 0.008927 Loss_D_real: -0.008745 Loss_D_fake 0.018158
[480/5000][465/535][49340] Loss_D: -0.025803 Loss_G: -0.009280 Loss_D_real: -0.004086 Loss_D_fake 0.021717
[480/5000][470/535][49341] Loss_D: -0.026936 Loss_G: 0.011205 Loss_D_real: -0.016353 Loss_D_fake 0.010584
[480/5000][475/535][49342] Loss_D: -0.027515 Loss_G: 0.011615 Loss_D_real: -0.023282 Loss_D_fake 0.004233
[480/5000][480/535][49343] Loss_D: -0.027771 Loss_G: 0.030154 Loss_D_real: -0.029533 Loss_D_fake -0.001762
[480/5000][485/535][49344] Loss_D: -0.027298 Loss_G: 0.006920 Loss_D_real: -0.015095 Loss_D_fake 0.012202
[480/5000][490/535][49345] Loss_D: -0.026910 Loss_G: 0.030767 Loss_D_real: -0.033075 Loss_D_fake -0.006165
[480/5000][495/535][49346] Loss_D: -0.026040 Loss_G: -0.010094 Loss_D_real: 0.003506 Loss_D_fake 0.029546
[480/5000][500/535][49347] Loss_D: -0.026097 Loss_G: 0.027026 Loss_D_real: -0.018520 Loss_D_fake 0.007577
[480/5000][505/535][49348] Loss_D: -0.026721 Loss_G: 0.000898 Loss_D_real: -0.003955 Loss_D_fake 0.022766
[480/5000][510/535][49349] Loss_D: -0.027486 Loss_G: 0.016451 Loss_D_real: -0.009720 Loss_D_fake 0.017766
[480/5000][515/535][49350] Loss_D: -0.027550 Loss_G: 0.019717 Loss_D_real: -0.021094 Loss_D_fake 0.006456
[480/5000][520/535][49351] Loss_D: -0.027882 Loss_G: -0.004359 Loss_D_real: -0.012945 Loss_D_fake 0.014937
[480/5000][525/535][49352] Loss_D: -0.026739 Loss_G: 0.022977 Loss_D_real: -0.030435 Loss_D_fake -0.003696
[480/5000][530/535][49353] Loss_D: -0.026305 Loss_G: 0.007080 Loss_D_real: -0.016113 Loss_D_fake 0.010192
[480/5000][535/535][49354] Loss_D: -0.022519 Loss_G: 0.004205 Loss_D_real: -0.015780 Loss_D_fake 0.006740
[481/5000][5/535][49355] Loss_D: -0.028894 Loss_G: 0.024256 Loss_D_real: -0.020267 Loss_D_fake 0.008628
[481/5000][10/535][49356] Loss_D: -0.025404 Loss_G: -0.003599 Loss_D_real: 0.000402 Loss_D_fake 0.025806
[481/5000][15/535][49357] Loss_D: -0.028957 Loss_G: 0.024612 Loss_D_real: -0.019161 Loss_D_fake 0.009796
[481/5000][20/535][49358] Loss_D: -0.026352 Loss_G: 0.010216 Loss_D_real: -0.008592 Loss_D_fake 0.017760
[481/5000][25/535][49359] Loss_D: -0.028374 Loss_G: 0.012004 Loss_D_real: -0.017043 Loss_D_fake 0.011330
[481/5000][30/535][49360] Loss_D: -0.025531 Loss_G: 0.021956 Loss_D_real: -0.028315 Loss_D_fake -0.002784
[481/5000][35/535][49361] Loss_D: -0.026827 Loss_G: 0.007881 Loss_D_real: -0.012312 Loss_D_fake 0.014515
[481/5000][40/535][49362] Loss_D: -0.026393 Loss_G: 0.030299 Loss_D_real: -0.029768 Loss_D_fake -0.003375
[481/5000][45/535][49363] Loss_D: -0.026552 Loss_G: 0.026493 Loss_D_real: -0.020392 Loss_D_fake 0.006159
[481/5000][50/535][49364] Loss_D: -0.025545 Loss_G: 0.021240 Loss_D_real: -0.025579 Loss_D_fake -0.000034
[481/5000][55/535][49365] Loss_D: -0.026423 Loss_G: 0.004171 Loss_D_real: -0.006739 Loss_D_fake 0.019684
[481/5000][60/535][49366] Loss_D: -0.026270 Loss_G: 0.011624 Loss_D_real: -0.018363 Loss_D_fake 0.007908
[481/5000][65/535][49367] Loss_D: -0.025967 Loss_G: 0.016499 Loss_D_real: -0.019159 Loss_D_fake 0.006808
[481/5000][70/535][49368] Loss_D: -0.026160 Loss_G: 0.016574 Loss_D_real: -0.021683 Loss_D_fake 0.004477
[481/5000][75/535][49369] Loss_D: -0.027247 Loss_G: 0.004616 Loss_D_real: -0.019803 Loss_D_fake 0.007444
[481/5000][80/535][49370] Loss_D: -0.027428 Loss_G: 0.003389 Loss_D_real: -0.003642 Loss_D_fake 0.023786
[481/5000][85/535][49371] Loss_D: -0.027588 Loss_G: -0.004117 Loss_D_real: -0.010710 Loss_D_fake 0.016878
[481/5000][90/535][49372] Loss_D: -0.027296 Loss_G: 0.039333 Loss_D_real: -0.028466 Loss_D_fake -0.001169
[481/5000][95/535][49373] Loss_D: -0.027020 Loss_G: 0.002229 Loss_D_real: -0.010388 Loss_D_fake 0.016632
[481/5000][100/535][49374] Loss_D: -0.027386 Loss_G: 0.008897 Loss_D_real: -0.017450 Loss_D_fake 0.009935
[481/5000][105/535][49375] Loss_D: -0.025557 Loss_G: 0.030097 Loss_D_real: -0.029915 Loss_D_fake -0.004357
[481/5000][110/535][49376] Loss_D: -0.026991 Loss_G: -0.004854 Loss_D_real: 0.003107 Loss_D_fake 0.030098
[481/5000][115/535][49377] Loss_D: -0.026266 Loss_G: 0.022831 Loss_D_real: -0.020906 Loss_D_fake 0.005361
[481/5000][120/535][49378] Loss_D: -0.027578 Loss_G: 0.022013 Loss_D_real: -0.021986 Loss_D_fake 0.005593
[481/5000][125/535][49379] Loss_D: -0.025810 Loss_G: 0.026286 Loss_D_real: -0.034004 Loss_D_fake -0.008194
[481/5000][130/535][49380] Loss_D: -0.027331 Loss_G: 0.023992 Loss_D_real: -0.022652 Loss_D_fake 0.004679
[481/5000][135/535][49381] Loss_D: -0.027667 Loss_G: 0.011158 Loss_D_real: -0.025947 Loss_D_fake 0.001719
[481/5000][140/535][49382] Loss_D: -0.026787 Loss_G: 0.007456 Loss_D_real: -0.024904 Loss_D_fake 0.001883
[481/5000][145/535][49383] Loss_D: -0.026023 Loss_G: -0.006855 Loss_D_real: -0.008777 Loss_D_fake 0.017246
[481/5000][150/535][49384] Loss_D: -0.027424 Loss_G: 0.014268 Loss_D_real: -0.016392 Loss_D_fake 0.011032
[481/5000][155/535][49385] Loss_D: -0.027408 Loss_G: 0.012520 Loss_D_real: -0.013872 Loss_D_fake 0.013535
[481/5000][160/535][49386] Loss_D: -0.026199 Loss_G: 0.029659 Loss_D_real: -0.030889 Loss_D_fake -0.004690
[481/5000][165/535][49387] Loss_D: -0.028189 Loss_G: 0.003643 Loss_D_real: -0.005764 Loss_D_fake 0.022426
[481/5000][170/535][49388] Loss_D: -0.026158 Loss_G: 0.013672 Loss_D_real: -0.019946 Loss_D_fake 0.006213
[481/5000][175/535][49389] Loss_D: -0.027120 Loss_G: 0.006209 Loss_D_real: -0.003724 Loss_D_fake 0.023396
[481/5000][180/535][49390] Loss_D: -0.025217 Loss_G: -0.012945 Loss_D_real: -0.001537 Loss_D_fake 0.023681
[481/5000][185/535][49391] Loss_D: -0.025988 Loss_G: 0.034868 Loss_D_real: -0.029323 Loss_D_fake -0.003335
[481/5000][190/535][49392] Loss_D: -0.027127 Loss_G: -0.000394 Loss_D_real: 0.000965 Loss_D_fake 0.028092
[481/5000][195/535][49393] Loss_D: -0.026793 Loss_G: 0.014994 Loss_D_real: -0.017750 Loss_D_fake 0.009043
[481/5000][200/535][49394] Loss_D: -0.025753 Loss_G: -0.010426 Loss_D_real: -0.001476 Loss_D_fake 0.024277
[481/5000][205/535][49395] Loss_D: -0.026165 Loss_G: 0.023070 Loss_D_real: -0.029141 Loss_D_fake -0.002976
[481/5000][210/535][49396] Loss_D: -0.026687 Loss_G: 0.000688 Loss_D_real: -0.002912 Loss_D_fake 0.023775
[481/5000][215/535][49397] Loss_D: -0.027176 Loss_G: 0.017018 Loss_D_real: -0.016180 Loss_D_fake 0.010996
[481/5000][220/535][49398] Loss_D: -0.026375 Loss_G: -0.005009 Loss_D_real: -0.002551 Loss_D_fake 0.023823
[481/5000][225/535][49399] Loss_D: -0.027006 Loss_G: 0.015713 Loss_D_real: -0.013211 Loss_D_fake 0.013795
[481/5000][230/535][49400] Loss_D: -0.027764 Loss_G: 0.005663 Loss_D_real: -0.006474 Loss_D_fake 0.021290
[481/5000][235/535][49401] Loss_D: -0.028173 Loss_G: 0.024057 Loss_D_real: -0.010620 Loss_D_fake 0.017553
[481/5000][240/535][49402] Loss_D: -0.026447 Loss_G: -0.007018 Loss_D_real: 0.001185 Loss_D_fake 0.027632
[481/5000][245/535][49403] Loss_D: -0.025680 Loss_G: 0.013988 Loss_D_real: -0.022882 Loss_D_fake 0.002798
[481/5000][250/535][49404] Loss_D: -0.026483 Loss_G: -0.005460 Loss_D_real: -0.009276 Loss_D_fake 0.017207
[481/5000][255/535][49405] Loss_D: -0.026243 Loss_G: 0.015439 Loss_D_real: -0.014778 Loss_D_fake 0.011465
[481/5000][260/535][49406] Loss_D: -0.025885 Loss_G: 0.000905 Loss_D_real: -0.000691 Loss_D_fake 0.025194
[481/5000][265/535][49407] Loss_D: -0.026393 Loss_G: 0.015374 Loss_D_real: -0.016289 Loss_D_fake 0.010104
[481/5000][270/535][49408] Loss_D: -0.026764 Loss_G: 0.029769 Loss_D_real: -0.023901 Loss_D_fake 0.002863
[481/5000][275/535][49409] Loss_D: -0.026094 Loss_G: 0.034147 Loss_D_real: -0.035962 Loss_D_fake -0.009867
[481/5000][280/535][49410] Loss_D: -0.027834 Loss_G: 0.021476 Loss_D_real: -0.018095 Loss_D_fake 0.009739
[481/5000][285/535][49411] Loss_D: -0.027145 Loss_G: 0.014281 Loss_D_real: -0.023009 Loss_D_fake 0.004136
[481/5000][290/535][49412] Loss_D: -0.026090 Loss_G: 0.016242 Loss_D_real: -0.014209 Loss_D_fake 0.011881
[481/5000][295/535][49413] Loss_D: -0.025425 Loss_G: 0.030383 Loss_D_real: -0.025267 Loss_D_fake 0.000158
[481/5000][300/535][49414] Loss_D: -0.026485 Loss_G: 0.030010 Loss_D_real: -0.029669 Loss_D_fake -0.003184
[481/5000][305/535][49415] Loss_D: -0.027331 Loss_G: 0.000790 Loss_D_real: -0.003900 Loss_D_fake 0.023430
[481/5000][310/535][49416] Loss_D: -0.025564 Loss_G: 0.018312 Loss_D_real: -0.015606 Loss_D_fake 0.009958
[481/5000][315/535][49417] Loss_D: -0.027192 Loss_G: 0.015160 Loss_D_real: -0.019877 Loss_D_fake 0.007315
[481/5000][320/535][49418] Loss_D: -0.025728 Loss_G: 0.019776 Loss_D_real: -0.022342 Loss_D_fake 0.003386
[481/5000][325/535][49419] Loss_D: -0.028678 Loss_G: 0.017411 Loss_D_real: -0.017053 Loss_D_fake 0.011625
[481/5000][330/535][49420] Loss_D: -0.027295 Loss_G: 0.019278 Loss_D_real: -0.020729 Loss_D_fake 0.006567
[481/5000][335/535][49421] Loss_D: -0.027242 Loss_G: 0.017945 Loss_D_real: -0.026148 Loss_D_fake 0.001094
[481/5000][340/535][49422] Loss_D: -0.027076 Loss_G: 0.031676 Loss_D_real: -0.028925 Loss_D_fake -0.001850
[481/5000][345/535][49423] Loss_D: -0.028805 Loss_G: 0.009363 Loss_D_real: -0.018547 Loss_D_fake 0.010258
[481/5000][350/535][49424] Loss_D: -0.026619 Loss_G: 0.033236 Loss_D_real: -0.024841 Loss_D_fake 0.001778
[481/5000][355/535][49425] Loss_D: -0.026981 Loss_G: -0.004865 Loss_D_real: -0.002176 Loss_D_fake 0.024805
[481/5000][360/535][49426] Loss_D: -0.024817 Loss_G: 0.032076 Loss_D_real: -0.033352 Loss_D_fake -0.008535
[481/5000][365/535][49427] Loss_D: -0.025254 Loss_G: 0.026336 Loss_D_real: -0.014417 Loss_D_fake 0.010837
[481/5000][370/535][49428] Loss_D: -0.027240 Loss_G: 0.004229 Loss_D_real: -0.016899 Loss_D_fake 0.010341
[481/5000][375/535][49429] Loss_D: -0.022664 Loss_G: 0.041074 Loss_D_real: -0.038473 Loss_D_fake -0.015809
[481/5000][380/535][49430] Loss_D: -0.027688 Loss_G: 0.001677 Loss_D_real: -0.007877 Loss_D_fake 0.019811
[481/5000][385/535][49431] Loss_D: -0.027384 Loss_G: 0.002509 Loss_D_real: -0.017060 Loss_D_fake 0.010324
[481/5000][390/535][49432] Loss_D: -0.025876 Loss_G: -0.010265 Loss_D_real: -0.001495 Loss_D_fake 0.024381
[481/5000][395/535][49433] Loss_D: -0.026938 Loss_G: 0.015506 Loss_D_real: -0.020583 Loss_D_fake 0.006355
[481/5000][400/535][49434] Loss_D: -0.028249 Loss_G: 0.017301 Loss_D_real: -0.019028 Loss_D_fake 0.009221
[481/5000][405/535][49435] Loss_D: -0.028223 Loss_G: 0.021508 Loss_D_real: -0.010766 Loss_D_fake 0.017456
[481/5000][410/535][49436] Loss_D: -0.027313 Loss_G: -0.009550 Loss_D_real: 0.005655 Loss_D_fake 0.032968
[481/5000][415/535][49437] Loss_D: -0.027983 Loss_G: -0.003908 Loss_D_real: -0.004907 Loss_D_fake 0.023076
[481/5000][420/535][49438] Loss_D: -0.029113 Loss_G: 0.029249 Loss_D_real: -0.030019 Loss_D_fake -0.000906
[481/5000][425/535][49439] Loss_D: -0.027257 Loss_G: 0.002456 Loss_D_real: -0.007188 Loss_D_fake 0.020069
[481/5000][430/535][49440] Loss_D: -0.028784 Loss_G: 0.019422 Loss_D_real: -0.016651 Loss_D_fake 0.012132
[481/5000][435/535][49441] Loss_D: -0.027932 Loss_G: 0.005651 Loss_D_real: -0.008613 Loss_D_fake 0.019319
[481/5000][440/535][49442] Loss_D: -0.028573 Loss_G: 0.012058 Loss_D_real: -0.009625 Loss_D_fake 0.018948
[481/5000][445/535][49443] Loss_D: -0.026361 Loss_G: 0.024045 Loss_D_real: -0.025788 Loss_D_fake 0.000573
[481/5000][450/535][49444] Loss_D: -0.026519 Loss_G: 0.007245 Loss_D_real: -0.010494 Loss_D_fake 0.016025
[481/5000][455/535][49445] Loss_D: -0.026616 Loss_G: -0.009972 Loss_D_real: 0.001918 Loss_D_fake 0.028535
[481/5000][460/535][49446] Loss_D: -0.026705 Loss_G: 0.027418 Loss_D_real: -0.029005 Loss_D_fake -0.002300
[481/5000][465/535][49447] Loss_D: -0.026962 Loss_G: 0.011016 Loss_D_real: -0.009089 Loss_D_fake 0.017874
[481/5000][470/535][49448] Loss_D: -0.027910 Loss_G: 0.007855 Loss_D_real: -0.006657 Loss_D_fake 0.021253
[481/5000][475/535][49449] Loss_D: -0.027087 Loss_G: 0.034052 Loss_D_real: -0.035964 Loss_D_fake -0.008877
[481/5000][480/535][49450] Loss_D: -0.025805 Loss_G: 0.028698 Loss_D_real: -0.022960 Loss_D_fake 0.002845
[481/5000][485/535][49451] Loss_D: -0.027185 Loss_G: 0.010431 Loss_D_real: -0.010297 Loss_D_fake 0.016888
[481/5000][490/535][49452] Loss_D: -0.027809 Loss_G: 0.028899 Loss_D_real: -0.024124 Loss_D_fake 0.003685
[481/5000][495/535][49453] Loss_D: -0.027602 Loss_G: 0.007301 Loss_D_real: -0.015916 Loss_D_fake 0.011686
[481/5000][500/535][49454] Loss_D: -0.026525 Loss_G: 0.028333 Loss_D_real: -0.022620 Loss_D_fake 0.003905
[481/5000][505/535][49455] Loss_D: -0.027317 Loss_G: 0.012168 Loss_D_real: -0.008474 Loss_D_fake 0.018844
[481/5000][510/535][49456] Loss_D: -0.025753 Loss_G: 0.026516 Loss_D_real: -0.026973 Loss_D_fake -0.001221
[481/5000][515/535][49457] Loss_D: -0.025507 Loss_G: 0.010023 Loss_D_real: -0.014361 Loss_D_fake 0.011146
[481/5000][520/535][49458] Loss_D: -0.024089 Loss_G: 0.007728 Loss_D_real: -0.013673 Loss_D_fake 0.010416
[481/5000][525/535][49459] Loss_D: -0.026430 Loss_G: 0.024157 Loss_D_real: -0.027978 Loss_D_fake -0.001548
[481/5000][530/535][49460] Loss_D: -0.028552 Loss_G: 0.004619 Loss_D_real: -0.019346 Loss_D_fake 0.009206
[481/5000][535/535][49461] Loss_D: -0.028092 Loss_G: -0.004759 Loss_D_real: -0.019505 Loss_D_fake 0.008587
[482/5000][5/535][49462] Loss_D: -0.027703 Loss_G: 0.012873 Loss_D_real: -0.013585 Loss_D_fake 0.014119
[482/5000][10/535][49463] Loss_D: -0.025882 Loss_G: 0.004363 Loss_D_real: -0.002678 Loss_D_fake 0.023204
[482/5000][15/535][49464] Loss_D: -0.027140 Loss_G: 0.021321 Loss_D_real: -0.025829 Loss_D_fake 0.001310
[482/5000][20/535][49465] Loss_D: -0.026565 Loss_G: -0.001628 Loss_D_real: 0.000781 Loss_D_fake 0.027346
[482/5000][25/535][49466] Loss_D: -0.026037 Loss_G: 0.026369 Loss_D_real: -0.035789 Loss_D_fake -0.009752
[482/5000][30/535][49467] Loss_D: -0.026449 Loss_G: 0.015088 Loss_D_real: -0.015177 Loss_D_fake 0.011273
[482/5000][35/535][49468] Loss_D: -0.027803 Loss_G: 0.017200 Loss_D_real: -0.019114 Loss_D_fake 0.008689
[482/5000][40/535][49469] Loss_D: -0.027262 Loss_G: -0.000348 Loss_D_real: -0.013492 Loss_D_fake 0.013769
[482/5000][45/535][49470] Loss_D: -0.027228 Loss_G: 0.013153 Loss_D_real: -0.021802 Loss_D_fake 0.005426
[482/5000][50/535][49471] Loss_D: -0.026699 Loss_G: 0.013285 Loss_D_real: -0.012075 Loss_D_fake 0.014624
[482/5000][55/535][49472] Loss_D: -0.025361 Loss_G: 0.041734 Loss_D_real: -0.036551 Loss_D_fake -0.011190
[482/5000][60/535][49473] Loss_D: -0.026277 Loss_G: 0.008864 Loss_D_real: -0.019963 Loss_D_fake 0.006314
[482/5000][65/535][49474] Loss_D: -0.025981 Loss_G: 0.026733 Loss_D_real: -0.033249 Loss_D_fake -0.007268
[482/5000][70/535][49475] Loss_D: -0.026997 Loss_G: 0.038312 Loss_D_real: -0.025857 Loss_D_fake 0.001140
[482/5000][75/535][49476] Loss_D: -0.027237 Loss_G: 0.014895 Loss_D_real: -0.004636 Loss_D_fake 0.022601
[482/5000][80/535][49477] Loss_D: -0.027914 Loss_G: 0.001865 Loss_D_real: -0.006325 Loss_D_fake 0.021589
[482/5000][85/535][49478] Loss_D: -0.025473 Loss_G: -0.000078 Loss_D_real: -0.004850 Loss_D_fake 0.020623
[482/5000][90/535][49479] Loss_D: -0.026631 Loss_G: 0.024641 Loss_D_real: -0.032658 Loss_D_fake -0.006027
[482/5000][95/535][49480] Loss_D: -0.027409 Loss_G: 0.009131 Loss_D_real: -0.017914 Loss_D_fake 0.009495
[482/5000][100/535][49481] Loss_D: -0.028505 Loss_G: 0.030264 Loss_D_real: -0.021552 Loss_D_fake 0.006953
[482/5000][105/535][49482] Loss_D: -0.027564 Loss_G: 0.021326 Loss_D_real: -0.025717 Loss_D_fake 0.001847
[482/5000][110/535][49483] Loss_D: -0.027252 Loss_G: -0.008223 Loss_D_real: 0.003982 Loss_D_fake 0.031234
[482/5000][115/535][49484] Loss_D: -0.025728 Loss_G: 0.020845 Loss_D_real: -0.017755 Loss_D_fake 0.007973
[482/5000][120/535][49485] Loss_D: -0.026959 Loss_G: 0.004750 Loss_D_real: -0.008830 Loss_D_fake 0.018129
[482/5000][125/535][49486] Loss_D: -0.026414 Loss_G: 0.001326 Loss_D_real: 0.001356 Loss_D_fake 0.027770
[482/5000][130/535][49487] Loss_D: -0.026907 Loss_G: 0.005557 Loss_D_real: -0.007809 Loss_D_fake 0.019097
[482/5000][135/535][49488] Loss_D: -0.027751 Loss_G: 0.022823 Loss_D_real: -0.023487 Loss_D_fake 0.004264
[482/5000][140/535][49489] Loss_D: -0.027087 Loss_G: 0.009473 Loss_D_real: -0.018357 Loss_D_fake 0.008730
[482/5000][145/535][49490] Loss_D: -0.027034 Loss_G: 0.038548 Loss_D_real: -0.033561 Loss_D_fake -0.006527
[482/5000][150/535][49491] Loss_D: -0.027381 Loss_G: -0.004407 Loss_D_real: -0.008706 Loss_D_fake 0.018675
[482/5000][155/535][49492] Loss_D: -0.028025 Loss_G: 0.030196 Loss_D_real: -0.032754 Loss_D_fake -0.004729
[482/5000][160/535][49493] Loss_D: -0.027674 Loss_G: 0.008215 Loss_D_real: -0.020176 Loss_D_fake 0.007498
[482/5000][165/535][49494] Loss_D: -0.027192 Loss_G: 0.015616 Loss_D_real: -0.023930 Loss_D_fake 0.003262
[482/5000][170/535][49495] Loss_D: -0.027569 Loss_G: -0.002305 Loss_D_real: -0.005375 Loss_D_fake 0.022194
[482/5000][175/535][49496] Loss_D: -0.025826 Loss_G: 0.001315 Loss_D_real: -0.015245 Loss_D_fake 0.010582
[482/5000][180/535][49497] Loss_D: -0.027244 Loss_G: 0.026761 Loss_D_real: -0.033541 Loss_D_fake -0.006298
[482/5000][185/535][49498] Loss_D: -0.026922 Loss_G: 0.028173 Loss_D_real: -0.023737 Loss_D_fake 0.003185
[482/5000][190/535][49499] Loss_D: -0.028505 Loss_G: 0.013013 Loss_D_real: -0.011844 Loss_D_fake 0.016661
[482/5000][195/535][49500] Loss_D: -0.026273 Loss_G: 0.001601 Loss_D_real: -0.010317 Loss_D_fake 0.015956
[482/5000][295/535][49501] Loss_D: -0.028484 Loss_G: 0.024699 Loss_D_real: -0.024177 Loss_D_fake 0.004307
[482/5000][300/535][49502] Loss_D: -0.028103 Loss_G: 0.008092 Loss_D_real: -0.015958 Loss_D_fake 0.012145
[482/5000][305/535][49503] Loss_D: -0.025359 Loss_G: 0.001618 Loss_D_real: -0.006459 Loss_D_fake 0.018900
[482/5000][310/535][49504] Loss_D: -0.025407 Loss_G: 0.016263 Loss_D_real: -0.019015 Loss_D_fake 0.006392
[482/5000][315/535][49505] Loss_D: -0.026883 Loss_G: 0.014858 Loss_D_real: -0.020708 Loss_D_fake 0.006174
[482/5000][320/535][49506] Loss_D: -0.026593 Loss_G: -0.004338 Loss_D_real: 0.002584 Loss_D_fake 0.029177
[482/5000][325/535][49507] Loss_D: -0.025177 Loss_G: 0.012150 Loss_D_real: -0.006243 Loss_D_fake 0.018934
[482/5000][330/535][49508] Loss_D: -0.025905 Loss_G: -0.001126 Loss_D_real: -0.003863 Loss_D_fake 0.022041
[482/5000][335/535][49509] Loss_D: -0.026607 Loss_G: 0.016492 Loss_D_real: -0.014042 Loss_D_fake 0.012565
[482/5000][340/535][49510] Loss_D: -0.027845 Loss_G: 0.004349 Loss_D_real: -0.008831 Loss_D_fake 0.019014
[482/5000][345/535][49511] Loss_D: -0.025586 Loss_G: 0.003261 Loss_D_real: -0.017412 Loss_D_fake 0.008174
[482/5000][350/535][49512] Loss_D: -0.025105 Loss_G: -0.017286 Loss_D_real: 0.004362 Loss_D_fake 0.029467
[482/5000][355/535][49513] Loss_D: -0.025745 Loss_G: 0.023306 Loss_D_real: -0.028392 Loss_D_fake -0.002646
[482/5000][360/535][49514] Loss_D: -0.026794 Loss_G: 0.002216 Loss_D_real: -0.005779 Loss_D_fake 0.021015
[482/5000][365/535][49515] Loss_D: -0.025830 Loss_G: 0.018972 Loss_D_real: -0.018867 Loss_D_fake 0.006963
[482/5000][370/535][49516] Loss_D: -0.027670 Loss_G: 0.020186 Loss_D_real: -0.018177 Loss_D_fake 0.009492
[482/5000][375/535][49517] Loss_D: -0.026689 Loss_G: 0.008696 Loss_D_real: -0.007781 Loss_D_fake 0.018908
[482/5000][380/535][49518] Loss_D: -0.027273 Loss_G: 0.007994 Loss_D_real: -0.011720 Loss_D_fake 0.015553
[482/5000][385/535][49519] Loss_D: -0.028756 Loss_G: 0.015497 Loss_D_real: -0.014868 Loss_D_fake 0.013888
[482/5000][390/535][49520] Loss_D: -0.028394 Loss_G: 0.000900 Loss_D_real: -0.011689 Loss_D_fake 0.016705
[482/5000][395/535][49521] Loss_D: -0.026219 Loss_G: 0.023460 Loss_D_real: -0.040374 Loss_D_fake -0.014154
[482/5000][400/535][49522] Loss_D: -0.027622 Loss_G: 0.023888 Loss_D_real: -0.027721 Loss_D_fake -0.000099
[482/5000][405/535][49523] Loss_D: -0.028434 Loss_G: 0.021933 Loss_D_real: -0.021833 Loss_D_fake 0.006601
[482/5000][410/535][49524] Loss_D: -0.027278 Loss_G: -0.011768 Loss_D_real: 0.003530 Loss_D_fake 0.030808
[482/5000][415/535][49525] Loss_D: -0.026423 Loss_G: 0.026261 Loss_D_real: -0.033584 Loss_D_fake -0.007161
[482/5000][420/535][49526] Loss_D: -0.025239 Loss_G: 0.021550 Loss_D_real: -0.028672 Loss_D_fake -0.003434
[482/5000][425/535][49527] Loss_D: -0.026927 Loss_G: -0.000040 Loss_D_real: -0.002443 Loss_D_fake 0.024484
[482/5000][430/535][49528] Loss_D: -0.027337 Loss_G: 0.014578 Loss_D_real: -0.016041 Loss_D_fake 0.011295
[482/5000][435/535][49529] Loss_D: -0.028051 Loss_G: 0.007857 Loss_D_real: -0.010859 Loss_D_fake 0.017192
[482/5000][440/535][49530] Loss_D: -0.025998 Loss_G: -0.009886 Loss_D_real: 0.010432 Loss_D_fake 0.036429
[482/5000][445/535][49531] Loss_D: -0.025985 Loss_G: 0.026345 Loss_D_real: -0.015929 Loss_D_fake 0.010056
[482/5000][450/535][49532] Loss_D: -0.025187 Loss_G: -0.003881 Loss_D_real: -0.010371 Loss_D_fake 0.014817
[482/5000][455/535][49533] Loss_D: -0.026984 Loss_G: 0.029694 Loss_D_real: -0.025974 Loss_D_fake 0.001011
[482/5000][460/535][49534] Loss_D: -0.026051 Loss_G: 0.002953 Loss_D_real: -0.016829 Loss_D_fake 0.009222
[482/5000][465/535][49535] Loss_D: -0.027256 Loss_G: 0.030218 Loss_D_real: -0.020833 Loss_D_fake 0.006424
[482/5000][470/535][49536] Loss_D: -0.027298 Loss_G: 0.008671 Loss_D_real: -0.014253 Loss_D_fake 0.013045
[482/5000][475/535][49537] Loss_D: -0.026802 Loss_G: 0.012649 Loss_D_real: -0.017990 Loss_D_fake 0.008812
[482/5000][480/535][49538] Loss_D: -0.027509 Loss_G: 0.006598 Loss_D_real: -0.008098 Loss_D_fake 0.019411
[482/5000][485/535][49539] Loss_D: -0.027625 Loss_G: 0.020206 Loss_D_real: -0.028114 Loss_D_fake -0.000489
[482/5000][490/535][49540] Loss_D: -0.028983 Loss_G: 0.005727 Loss_D_real: -0.012468 Loss_D_fake 0.016515
[482/5000][495/535][49541] Loss_D: -0.026579 Loss_G: 0.012403 Loss_D_real: -0.013748 Loss_D_fake 0.012831
[482/5000][500/535][49542] Loss_D: -0.027690 Loss_G: 0.010873 Loss_D_real: -0.014558 Loss_D_fake 0.013132
[482/5000][505/535][49543] Loss_D: -0.026748 Loss_G: 0.040541 Loss_D_real: -0.034708 Loss_D_fake -0.007960
[482/5000][510/535][49544] Loss_D: -0.025762 Loss_G: 0.029542 Loss_D_real: -0.030756 Loss_D_fake -0.004994
[482/5000][515/535][49545] Loss_D: -0.028091 Loss_G: -0.006256 Loss_D_real: -0.013505 Loss_D_fake 0.014586
[482/5000][520/535][49546] Loss_D: -0.025978 Loss_G: 0.035916 Loss_D_real: -0.029690 Loss_D_fake -0.003712
[482/5000][525/535][49547] Loss_D: -0.027312 Loss_G: 0.029094 Loss_D_real: -0.020013 Loss_D_fake 0.007300
[482/5000][530/535][49548] Loss_D: -0.027668 Loss_G: -0.008433 Loss_D_real: -0.001183 Loss_D_fake 0.026485
[482/5000][535/535][49549] Loss_D: -0.024771 Loss_G: 0.015860 Loss_D_real: -0.028263 Loss_D_fake -0.003492
[483/5000][5/535][49550] Loss_D: -0.026188 Loss_G: 0.019715 Loss_D_real: -0.026630 Loss_D_fake -0.000442
[483/5000][10/535][49551] Loss_D: -0.027486 Loss_G: 0.003097 Loss_D_real: -0.007286 Loss_D_fake 0.020200
[483/5000][15/535][49552] Loss_D: -0.024285 Loss_G: 0.039059 Loss_D_real: -0.036736 Loss_D_fake -0.012451
[483/5000][20/535][49553] Loss_D: -0.025629 Loss_G: -0.013001 Loss_D_real: 0.002741 Loss_D_fake 0.028370
[483/5000][25/535][49554] Loss_D: -0.026003 Loss_G: 0.012161 Loss_D_real: -0.019758 Loss_D_fake 0.006245
[483/5000][30/535][49555] Loss_D: -0.028056 Loss_G: 0.012816 Loss_D_real: -0.006357 Loss_D_fake 0.021699
[483/5000][35/535][49556] Loss_D: -0.026914 Loss_G: 0.030802 Loss_D_real: -0.024800 Loss_D_fake 0.002114
[483/5000][40/535][49557] Loss_D: -0.028898 Loss_G: 0.032148 Loss_D_real: -0.019751 Loss_D_fake 0.009147
[483/5000][45/535][49558] Loss_D: -0.025313 Loss_G: 0.028625 Loss_D_real: -0.024468 Loss_D_fake 0.000844
[483/5000][50/535][49559] Loss_D: -0.026961 Loss_G: 0.023529 Loss_D_real: -0.029539 Loss_D_fake -0.002578
[483/5000][55/535][49560] Loss_D: -0.027806 Loss_G: 0.014401 Loss_D_real: -0.019881 Loss_D_fake 0.007926
[483/5000][60/535][49561] Loss_D: -0.027880 Loss_G: 0.026171 Loss_D_real: -0.022119 Loss_D_fake 0.005761
[483/5000][65/535][49562] Loss_D: -0.027783 Loss_G: 0.006291 Loss_D_real: -0.014099 Loss_D_fake 0.013684
[483/5000][70/535][49563] Loss_D: -0.025606 Loss_G: 0.028315 Loss_D_real: -0.030472 Loss_D_fake -0.004866
[483/5000][75/535][49564] Loss_D: -0.028093 Loss_G: 0.036512 Loss_D_real: -0.035467 Loss_D_fake -0.007374
[483/5000][80/535][49565] Loss_D: -0.026121 Loss_G: 0.031164 Loss_D_real: -0.042288 Loss_D_fake -0.016167
[483/5000][85/535][49566] Loss_D: -0.028694 Loss_G: 0.007754 Loss_D_real: -0.016862 Loss_D_fake 0.011832
[483/5000][90/535][49567] Loss_D: -0.026724 Loss_G: 0.004394 Loss_D_real: -0.009841 Loss_D_fake 0.016883
[483/5000][95/535][49568] Loss_D: -0.027344 Loss_G: -0.000791 Loss_D_real: -0.018394 Loss_D_fake 0.008950
[483/5000][100/535][49569] Loss_D: -0.026570 Loss_G: 0.039642 Loss_D_real: -0.029940 Loss_D_fake -0.003370
[483/5000][105/535][49570] Loss_D: -0.026280 Loss_G: -0.000650 Loss_D_real: -0.010741 Loss_D_fake 0.015539
[483/5000][110/535][49571] Loss_D: -0.026949 Loss_G: 0.007235 Loss_D_real: -0.006061 Loss_D_fake 0.020888
[483/5000][115/535][49572] Loss_D: -0.026909 Loss_G: 0.008065 Loss_D_real: -0.001234 Loss_D_fake 0.025675
[483/5000][120/535][49573] Loss_D: -0.026945 Loss_G: 0.005629 Loss_D_real: -0.016742 Loss_D_fake 0.010203
[483/5000][125/535][49574] Loss_D: -0.027809 Loss_G: 0.028025 Loss_D_real: -0.013988 Loss_D_fake 0.013821
[483/5000][130/535][49575] Loss_D: -0.026395 Loss_G: 0.008768 Loss_D_real: -0.017534 Loss_D_fake 0.008861
[483/5000][135/535][49576] Loss_D: -0.026897 Loss_G: 0.030158 Loss_D_real: -0.030103 Loss_D_fake -0.003206
[483/5000][140/535][49577] Loss_D: -0.027246 Loss_G: 0.016405 Loss_D_real: -0.028067 Loss_D_fake -0.000821
[483/5000][145/535][49578] Loss_D: -0.027311 Loss_G: 0.006559 Loss_D_real: -0.006787 Loss_D_fake 0.020523
[483/5000][150/535][49579] Loss_D: -0.026775 Loss_G: 0.021966 Loss_D_real: -0.032755 Loss_D_fake -0.005980
[483/5000][155/535][49580] Loss_D: -0.027553 Loss_G: 0.030754 Loss_D_real: -0.027554 Loss_D_fake -0.000001
[483/5000][160/535][49581] Loss_D: -0.028159 Loss_G: 0.002725 Loss_D_real: -0.007486 Loss_D_fake 0.020673
[483/5000][165/535][49582] Loss_D: -0.026672 Loss_G: 0.021686 Loss_D_real: -0.015826 Loss_D_fake 0.010846
[483/5000][170/535][49583] Loss_D: -0.027086 Loss_G: 0.015634 Loss_D_real: -0.020513 Loss_D_fake 0.006573
[483/5000][175/535][49584] Loss_D: -0.026755 Loss_G: 0.020379 Loss_D_real: -0.022491 Loss_D_fake 0.004264
[483/5000][180/535][49585] Loss_D: -0.027316 Loss_G: 0.002489 Loss_D_real: -0.009624 Loss_D_fake 0.017692
[483/5000][185/535][49586] Loss_D: -0.025809 Loss_G: 0.021967 Loss_D_real: -0.014246 Loss_D_fake 0.011563
[483/5000][190/535][49587] Loss_D: -0.025949 Loss_G: 0.032703 Loss_D_real: -0.038373 Loss_D_fake -0.012423
[483/5000][195/535][49588] Loss_D: -0.027512 Loss_G: 0.031383 Loss_D_real: -0.021694 Loss_D_fake 0.005818
[483/5000][200/535][49589] Loss_D: -0.026704 Loss_G: -0.011597 Loss_D_real: -0.001413 Loss_D_fake 0.025291
[483/5000][205/535][49590] Loss_D: -0.025798 Loss_G: 0.004183 Loss_D_real: -0.003907 Loss_D_fake 0.021890
[483/5000][210/535][49591] Loss_D: -0.026293 Loss_G: 0.010867 Loss_D_real: -0.012884 Loss_D_fake 0.013410
[483/5000][215/535][49592] Loss_D: -0.026539 Loss_G: 0.040636 Loss_D_real: -0.033816 Loss_D_fake -0.007277
[483/5000][220/535][49593] Loss_D: -0.027700 Loss_G: 0.000901 Loss_D_real: -0.007984 Loss_D_fake 0.019715
[483/5000][225/535][49594] Loss_D: -0.024086 Loss_G: 0.029862 Loss_D_real: -0.035317 Loss_D_fake -0.011231
[483/5000][230/535][49595] Loss_D: -0.026146 Loss_G: 0.005613 Loss_D_real: -0.020833 Loss_D_fake 0.005313
[483/5000][235/535][49596] Loss_D: -0.026562 Loss_G: 0.006382 Loss_D_real: -0.014047 Loss_D_fake 0.012515
[483/5000][240/535][49597] Loss_D: -0.026791 Loss_G: -0.005622 Loss_D_real: -0.000422 Loss_D_fake 0.026369
[483/5000][245/535][49598] Loss_D: -0.027336 Loss_G: 0.022020 Loss_D_real: -0.023386 Loss_D_fake 0.003950
[483/5000][250/535][49599] Loss_D: -0.027741 Loss_G: 0.006496 Loss_D_real: -0.011112 Loss_D_fake 0.016628
[483/5000][255/535][49600] Loss_D: -0.027288 Loss_G: 0.027743 Loss_D_real: -0.028315 Loss_D_fake -0.001027
[483/5000][260/535][49601] Loss_D: -0.027649 Loss_G: -0.004805 Loss_D_real: -0.004791 Loss_D_fake 0.022858
[483/5000][265/535][49602] Loss_D: -0.026419 Loss_G: 0.016972 Loss_D_real: -0.007140 Loss_D_fake 0.019279
[483/5000][270/535][49603] Loss_D: -0.025583 Loss_G: 0.036466 Loss_D_real: -0.036209 Loss_D_fake -0.010626
[483/5000][275/535][49604] Loss_D: -0.025425 Loss_G: -0.013248 Loss_D_real: 0.006134 Loss_D_fake 0.031559
[483/5000][280/535][49605] Loss_D: -0.026764 Loss_G: 0.015169 Loss_D_real: -0.019782 Loss_D_fake 0.006982
[483/5000][285/535][49606] Loss_D: -0.026343 Loss_G: 0.015657 Loss_D_real: -0.023418 Loss_D_fake 0.002925
[483/5000][290/535][49607] Loss_D: -0.026588 Loss_G: -0.001320 Loss_D_real: -0.009919 Loss_D_fake 0.016669
[483/5000][295/535][49608] Loss_D: -0.028139 Loss_G: 0.012555 Loss_D_real: -0.010139 Loss_D_fake 0.018001
[483/5000][300/535][49609] Loss_D: -0.026907 Loss_G: 0.041311 Loss_D_real: -0.034684 Loss_D_fake -0.007777
[483/5000][305/535][49610] Loss_D: -0.026693 Loss_G: -0.003886 Loss_D_real: -0.008239 Loss_D_fake 0.018454
[483/5000][310/535][49611] Loss_D: -0.026304 Loss_G: 0.003986 Loss_D_real: -0.015071 Loss_D_fake 0.011233
[483/5000][315/535][49612] Loss_D: -0.027569 Loss_G: 0.020176 Loss_D_real: -0.026844 Loss_D_fake 0.000724
[483/5000][320/535][49613] Loss_D: -0.027992 Loss_G: 0.019208 Loss_D_real: -0.018983 Loss_D_fake 0.009009
[483/5000][325/535][49614] Loss_D: -0.028093 Loss_G: 0.003549 Loss_D_real: -0.003247 Loss_D_fake 0.024846
[483/5000][330/535][49615] Loss_D: -0.027007 Loss_G: 0.026262 Loss_D_real: -0.027679 Loss_D_fake -0.000672
[483/5000][335/535][49616] Loss_D: -0.027907 Loss_G: 0.004210 Loss_D_real: -0.022282 Loss_D_fake 0.005625
[483/5000][340/535][49617] Loss_D: -0.026198 Loss_G: 0.021541 Loss_D_real: -0.018090 Loss_D_fake 0.008108
[483/5000][345/535][49618] Loss_D: -0.026386 Loss_G: 0.011734 Loss_D_real: -0.029769 Loss_D_fake -0.003383
[483/5000][350/535][49619] Loss_D: -0.026838 Loss_G: 0.017720 Loss_D_real: -0.016468 Loss_D_fake 0.010370
[483/5000][355/535][49620] Loss_D: -0.027516 Loss_G: 0.024882 Loss_D_real: -0.012951 Loss_D_fake 0.014564
[483/5000][360/535][49621] Loss_D: -0.027306 Loss_G: 0.011518 Loss_D_real: -0.020105 Loss_D_fake 0.007202
[483/5000][365/535][49622] Loss_D: -0.026287 Loss_G: 0.037032 Loss_D_real: -0.031821 Loss_D_fake -0.005534
[483/5000][370/535][49623] Loss_D: -0.026311 Loss_G: 0.005752 Loss_D_real: -0.005892 Loss_D_fake 0.020419
[483/5000][375/535][49624] Loss_D: -0.025868 Loss_G: 0.025847 Loss_D_real: -0.032380 Loss_D_fake -0.006511
[483/5000][380/535][49625] Loss_D: -0.027332 Loss_G: -0.010759 Loss_D_real: -0.004425 Loss_D_fake 0.022906
[483/5000][385/535][49626] Loss_D: -0.026818 Loss_G: 0.024631 Loss_D_real: -0.028873 Loss_D_fake -0.002055
[483/5000][390/535][49627] Loss_D: -0.026466 Loss_G: 0.004963 Loss_D_real: -0.010932 Loss_D_fake 0.015534
[483/5000][395/535][49628] Loss_D: -0.028645 Loss_G: 0.015106 Loss_D_real: -0.018877 Loss_D_fake 0.009768
[483/5000][400/535][49629] Loss_D: -0.028943 Loss_G: 0.002434 Loss_D_real: -0.010675 Loss_D_fake 0.018268
[483/5000][405/535][49630] Loss_D: -0.027470 Loss_G: -0.000733 Loss_D_real: -0.003775 Loss_D_fake 0.023695
[483/5000][410/535][49631] Loss_D: -0.027862 Loss_G: 0.020789 Loss_D_real: -0.014253 Loss_D_fake 0.013608
[483/5000][415/535][49632] Loss_D: -0.027825 Loss_G: 0.020604 Loss_D_real: -0.022013 Loss_D_fake 0.005813
[483/5000][420/535][49633] Loss_D: -0.027579 Loss_G: 0.018438 Loss_D_real: -0.025144 Loss_D_fake 0.002435
[483/5000][425/535][49634] Loss_D: -0.027743 Loss_G: 0.023933 Loss_D_real: -0.021540 Loss_D_fake 0.006203
[483/5000][430/535][49635] Loss_D: -0.028353 Loss_G: 0.010647 Loss_D_real: -0.017504 Loss_D_fake 0.010849
[483/5000][435/535][49636] Loss_D: -0.029096 Loss_G: 0.001914 Loss_D_real: -0.012138 Loss_D_fake 0.016958
[483/5000][440/535][49637] Loss_D: -0.028911 Loss_G: 0.035324 Loss_D_real: -0.024883 Loss_D_fake 0.004028
[483/5000][445/535][49638] Loss_D: -0.027934 Loss_G: 0.026139 Loss_D_real: -0.021120 Loss_D_fake 0.006814
[483/5000][450/535][49639] Loss_D: -0.026300 Loss_G: 0.028974 Loss_D_real: -0.031960 Loss_D_fake -0.005659
[483/5000][455/535][49640] Loss_D: -0.026892 Loss_G: 0.002514 Loss_D_real: -0.007771 Loss_D_fake 0.019121
[483/5000][460/535][49641] Loss_D: -0.025683 Loss_G: 0.031362 Loss_D_real: -0.030515 Loss_D_fake -0.004831
[483/5000][465/535][49642] Loss_D: -0.027705 Loss_G: 0.008731 Loss_D_real: -0.008821 Loss_D_fake 0.018884
[483/5000][470/535][49643] Loss_D: -0.027388 Loss_G: 0.023048 Loss_D_real: -0.013423 Loss_D_fake 0.013965
[483/5000][475/535][49644] Loss_D: -0.027414 Loss_G: -0.007066 Loss_D_real: -0.006234 Loss_D_fake 0.021180
[483/5000][480/535][49645] Loss_D: -0.025951 Loss_G: -0.007732 Loss_D_real: -0.002054 Loss_D_fake 0.023896
[483/5000][485/535][49646] Loss_D: -0.026987 Loss_G: 0.031190 Loss_D_real: -0.023413 Loss_D_fake 0.003574
[483/5000][490/535][49647] Loss_D: -0.027873 Loss_G: 0.010395 Loss_D_real: -0.015876 Loss_D_fake 0.011998
[483/5000][495/535][49648] Loss_D: -0.028280 Loss_G: 0.018287 Loss_D_real: -0.012974 Loss_D_fake 0.015306
[483/5000][500/535][49649] Loss_D: -0.026212 Loss_G: 0.007598 Loss_D_real: -0.017145 Loss_D_fake 0.009067
[483/5000][505/535][49650] Loss_D: -0.027687 Loss_G: 0.022866 Loss_D_real: -0.021208 Loss_D_fake 0.006479
[483/5000][510/535][49651] Loss_D: -0.025833 Loss_G: 0.004186 Loss_D_real: -0.006972 Loss_D_fake 0.018861
[483/5000][515/535][49652] Loss_D: -0.026967 Loss_G: 0.011503 Loss_D_real: -0.023621 Loss_D_fake 0.003346
[483/5000][520/535][49653] Loss_D: -0.026846 Loss_G: 0.024359 Loss_D_real: -0.020422 Loss_D_fake 0.006424
[483/5000][525/535][49654] Loss_D: -0.025324 Loss_G: -0.006421 Loss_D_real: 0.001098 Loss_D_fake 0.026422
[483/5000][530/535][49655] Loss_D: -0.025393 Loss_G: -0.012682 Loss_D_real: -0.003526 Loss_D_fake 0.021866
[483/5000][535/535][49656] Loss_D: -0.026372 Loss_G: 0.021025 Loss_D_real: -0.014380 Loss_D_fake 0.011993
[484/5000][5/535][49657] Loss_D: -0.026620 Loss_G: -0.008339 Loss_D_real: 0.003455 Loss_D_fake 0.030075
[484/5000][10/535][49658] Loss_D: -0.026145 Loss_G: 0.016685 Loss_D_real: -0.016428 Loss_D_fake 0.009717
[484/5000][15/535][49659] Loss_D: -0.027113 Loss_G: 0.028065 Loss_D_real: -0.029280 Loss_D_fake -0.002167
[484/5000][20/535][49660] Loss_D: -0.025821 Loss_G: 0.020318 Loss_D_real: -0.018195 Loss_D_fake 0.007626
[484/5000][25/535][49661] Loss_D: -0.026630 Loss_G: 0.030401 Loss_D_real: -0.026612 Loss_D_fake 0.000018
[484/5000][30/535][49662] Loss_D: -0.027992 Loss_G: 0.001270 Loss_D_real: -0.012951 Loss_D_fake 0.015040
[484/5000][35/535][49663] Loss_D: -0.027609 Loss_G: 0.016208 Loss_D_real: -0.020496 Loss_D_fake 0.007113
[484/5000][40/535][49664] Loss_D: -0.027515 Loss_G: 0.003236 Loss_D_real: -0.007333 Loss_D_fake 0.020182
[484/5000][45/535][49665] Loss_D: -0.028784 Loss_G: 0.028369 Loss_D_real: -0.021159 Loss_D_fake 0.007625
[484/5000][50/535][49666] Loss_D: -0.026469 Loss_G: 0.002191 Loss_D_real: -0.004687 Loss_D_fake 0.021782
[484/5000][55/535][49667] Loss_D: -0.027270 Loss_G: 0.017417 Loss_D_real: -0.015875 Loss_D_fake 0.011395
[484/5000][60/535][49668] Loss_D: -0.025920 Loss_G: -0.003057 Loss_D_real: -0.001063 Loss_D_fake 0.024857
[484/5000][65/535][49669] Loss_D: -0.027701 Loss_G: 0.008406 Loss_D_real: -0.015477 Loss_D_fake 0.012223
[484/5000][70/535][49670] Loss_D: -0.028260 Loss_G: 0.014639 Loss_D_real: -0.021710 Loss_D_fake 0.006550
[484/5000][75/535][49671] Loss_D: -0.026602 Loss_G: 0.009084 Loss_D_real: -0.010541 Loss_D_fake 0.016061
[484/5000][80/535][49672] Loss_D: -0.026321 Loss_G: -0.005448 Loss_D_real: -0.008799 Loss_D_fake 0.017521
[484/5000][85/535][49673] Loss_D: -0.026513 Loss_G: 0.026815 Loss_D_real: -0.016088 Loss_D_fake 0.010426
[484/5000][90/535][49674] Loss_D: -0.026401 Loss_G: -0.004942 Loss_D_real: -0.004390 Loss_D_fake 0.022011
[484/5000][95/535][49675] Loss_D: -0.025703 Loss_G: 0.018498 Loss_D_real: -0.027440 Loss_D_fake -0.001737
[484/5000][100/535][49676] Loss_D: -0.027510 Loss_G: 0.015022 Loss_D_real: -0.017236 Loss_D_fake 0.010274
[484/5000][105/535][49677] Loss_D: -0.028696 Loss_G: 0.007745 Loss_D_real: -0.010886 Loss_D_fake 0.017811
[484/5000][110/535][49678] Loss_D: -0.026125 Loss_G: -0.001952 Loss_D_real: 0.001277 Loss_D_fake 0.027402
[484/5000][115/535][49679] Loss_D: -0.025917 Loss_G: -0.009485 Loss_D_real: -0.006115 Loss_D_fake 0.019802
[484/5000][120/535][49680] Loss_D: -0.026796 Loss_G: 0.022914 Loss_D_real: -0.021127 Loss_D_fake 0.005669
[484/5000][125/535][49681] Loss_D: -0.026636 Loss_G: 0.005770 Loss_D_real: -0.015098 Loss_D_fake 0.011538
[484/5000][130/535][49682] Loss_D: -0.025945 Loss_G: 0.000007 Loss_D_real: -0.007886 Loss_D_fake 0.018059
[484/5000][135/535][49683] Loss_D: -0.027008 Loss_G: 0.020831 Loss_D_real: -0.025872 Loss_D_fake 0.001136
[484/5000][140/535][49684] Loss_D: -0.025963 Loss_G: 0.000153 Loss_D_real: -0.002830 Loss_D_fake 0.023133
[484/5000][145/535][49685] Loss_D: -0.025245 Loss_G: 0.020878 Loss_D_real: -0.026331 Loss_D_fake -0.001086
[484/5000][150/535][49686] Loss_D: -0.026055 Loss_G: -0.000659 Loss_D_real: -0.011417 Loss_D_fake 0.014638
[484/5000][155/535][49687] Loss_D: -0.026219 Loss_G: 0.011091 Loss_D_real: -0.014039 Loss_D_fake 0.012180
[484/5000][160/535][49688] Loss_D: -0.024765 Loss_G: 0.045437 Loss_D_real: -0.038844 Loss_D_fake -0.014079
[484/5000][165/535][49689] Loss_D: -0.025997 Loss_G: 0.000304 Loss_D_real: -0.004347 Loss_D_fake 0.021650
[484/5000][170/535][49690] Loss_D: -0.026355 Loss_G: 0.004707 Loss_D_real: -0.016642 Loss_D_fake 0.009713
[484/5000][175/535][49691] Loss_D: -0.026383 Loss_G: 0.014520 Loss_D_real: -0.011633 Loss_D_fake 0.014751
[484/5000][180/535][49692] Loss_D: -0.026174 Loss_G: 0.008761 Loss_D_real: -0.019781 Loss_D_fake 0.006393
[484/5000][185/535][49693] Loss_D: -0.027647 Loss_G: 0.039103 Loss_D_real: -0.032202 Loss_D_fake -0.004556
[484/5000][190/535][49694] Loss_D: -0.027214 Loss_G: 0.007191 Loss_D_real: -0.016359 Loss_D_fake 0.010855
[484/5000][195/535][49695] Loss_D: -0.027391 Loss_G: 0.027669 Loss_D_real: -0.037709 Loss_D_fake -0.010319
[484/5000][200/535][49696] Loss_D: -0.027313 Loss_G: 0.037631 Loss_D_real: -0.020066 Loss_D_fake 0.007247
[484/5000][205/535][49697] Loss_D: -0.026528 Loss_G: -0.016327 Loss_D_real: -0.004006 Loss_D_fake 0.022522
[484/5000][210/535][49698] Loss_D: -0.025415 Loss_G: 0.027258 Loss_D_real: -0.028640 Loss_D_fake -0.003225
[484/5000][215/535][49699] Loss_D: -0.028380 Loss_G: -0.005824 Loss_D_real: -0.011961 Loss_D_fake 0.016419
[484/5000][220/535][49700] Loss_D: -0.025401 Loss_G: 0.039577 Loss_D_real: -0.025725 Loss_D_fake -0.000323
[484/5000][225/535][49701] Loss_D: -0.027763 Loss_G: -0.001343 Loss_D_real: -0.005433 Loss_D_fake 0.022330
[484/5000][230/535][49702] Loss_D: -0.027028 Loss_G: 0.004885 Loss_D_real: -0.017743 Loss_D_fake 0.009285
[484/5000][235/535][49703] Loss_D: -0.025847 Loss_G: 0.012357 Loss_D_real: -0.021887 Loss_D_fake 0.003960
[484/5000][240/535][49704] Loss_D: -0.026377 Loss_G: 0.003180 Loss_D_real: -0.009155 Loss_D_fake 0.017222
[484/5000][245/535][49705] Loss_D: -0.026879 Loss_G: 0.019377 Loss_D_real: -0.017444 Loss_D_fake 0.009435
[484/5000][250/535][49706] Loss_D: -0.025704 Loss_G: 0.034347 Loss_D_real: -0.035464 Loss_D_fake -0.009760
[484/5000][255/535][49707] Loss_D: -0.028000 Loss_G: -0.001410 Loss_D_real: 0.000373 Loss_D_fake 0.028374
[484/5000][260/535][49708] Loss_D: -0.026807 Loss_G: 0.029524 Loss_D_real: -0.025143 Loss_D_fake 0.001664
[484/5000][265/535][49709] Loss_D: -0.027136 Loss_G: 0.019888 Loss_D_real: -0.020169 Loss_D_fake 0.006966
[484/5000][270/535][49710] Loss_D: -0.026540 Loss_G: 0.010282 Loss_D_real: -0.021881 Loss_D_fake 0.004660
[484/5000][275/535][49711] Loss_D: -0.027126 Loss_G: 0.011508 Loss_D_real: -0.021345 Loss_D_fake 0.005780
[484/5000][280/535][49712] Loss_D: -0.027513 Loss_G: -0.001601 Loss_D_real: -0.010960 Loss_D_fake 0.016554
[484/5000][285/535][49713] Loss_D: -0.027436 Loss_G: 0.012506 Loss_D_real: -0.016344 Loss_D_fake 0.011092
[484/5000][290/535][49714] Loss_D: -0.026819 Loss_G: 0.008688 Loss_D_real: -0.015126 Loss_D_fake 0.011693
[484/5000][295/535][49715] Loss_D: -0.027672 Loss_G: 0.022366 Loss_D_real: -0.026983 Loss_D_fake 0.000690
[484/5000][300/535][49716] Loss_D: -0.026689 Loss_G: -0.007283 Loss_D_real: 0.005287 Loss_D_fake 0.031976
[484/5000][305/535][49717] Loss_D: -0.026205 Loss_G: 0.027217 Loss_D_real: -0.031527 Loss_D_fake -0.005322
[484/5000][310/535][49718] Loss_D: -0.027218 Loss_G: -0.000057 Loss_D_real: -0.015665 Loss_D_fake 0.011552
[484/5000][315/535][49719] Loss_D: -0.027399 Loss_G: 0.022808 Loss_D_real: -0.018280 Loss_D_fake 0.009119
[484/5000][320/535][49720] Loss_D: -0.027883 Loss_G: 0.010939 Loss_D_real: -0.011678 Loss_D_fake 0.016206
[484/5000][325/535][49721] Loss_D: -0.025315 Loss_G: 0.029152 Loss_D_real: -0.023641 Loss_D_fake 0.001675
[484/5000][330/535][49722] Loss_D: -0.026212 Loss_G: -0.006714 Loss_D_real: 0.002355 Loss_D_fake 0.028566
[484/5000][335/535][49723] Loss_D: -0.025960 Loss_G: 0.011435 Loss_D_real: -0.025221 Loss_D_fake 0.000739
[484/5000][340/535][49724] Loss_D: -0.026297 Loss_G: 0.015561 Loss_D_real: -0.017657 Loss_D_fake 0.008640
[484/5000][345/535][49725] Loss_D: -0.026502 Loss_G: 0.030819 Loss_D_real: -0.016474 Loss_D_fake 0.010027
[484/5000][350/535][49726] Loss_D: -0.025895 Loss_G: -0.000819 Loss_D_real: -0.005627 Loss_D_fake 0.020268
[484/5000][355/535][49727] Loss_D: -0.026640 Loss_G: 0.004050 Loss_D_real: -0.014229 Loss_D_fake 0.012411
[484/5000][360/535][49728] Loss_D: -0.025602 Loss_G: 0.033700 Loss_D_real: -0.030976 Loss_D_fake -0.005374
[484/5000][365/535][49729] Loss_D: -0.026416 Loss_G: 0.006046 Loss_D_real: -0.008966 Loss_D_fake 0.017449
[484/5000][370/535][49730] Loss_D: -0.025447 Loss_G: 0.034708 Loss_D_real: -0.026998 Loss_D_fake -0.001552
[484/5000][375/535][49731] Loss_D: -0.026189 Loss_G: 0.001282 Loss_D_real: 0.000258 Loss_D_fake 0.026447
[484/5000][380/535][49732] Loss_D: -0.026469 Loss_G: 0.025357 Loss_D_real: -0.023518 Loss_D_fake 0.002951
[484/5000][385/535][49733] Loss_D: -0.028203 Loss_G: -0.000191 Loss_D_real: -0.002218 Loss_D_fake 0.025985
[484/5000][390/535][49734] Loss_D: -0.026921 Loss_G: 0.017281 Loss_D_real: -0.033932 Loss_D_fake -0.007012
[484/5000][395/535][49735] Loss_D: -0.026853 Loss_G: 0.014894 Loss_D_real: -0.018156 Loss_D_fake 0.008696
[484/5000][400/535][49736] Loss_D: -0.026763 Loss_G: 0.014413 Loss_D_real: -0.013274 Loss_D_fake 0.013489
[484/5000][405/535][49737] Loss_D: -0.026768 Loss_G: 0.015207 Loss_D_real: -0.025998 Loss_D_fake 0.000770
[484/5000][410/535][49738] Loss_D: -0.027630 Loss_G: 0.010680 Loss_D_real: -0.009526 Loss_D_fake 0.018104
[484/5000][415/535][49739] Loss_D: -0.027712 Loss_G: 0.033578 Loss_D_real: -0.021575 Loss_D_fake 0.006137
[484/5000][420/535][49740] Loss_D: -0.027144 Loss_G: 0.003758 Loss_D_real: -0.002130 Loss_D_fake 0.025014
[484/5000][425/535][49741] Loss_D: -0.025066 Loss_G: 0.008102 Loss_D_real: -0.023733 Loss_D_fake 0.001333
[484/5000][430/535][49742] Loss_D: -0.026267 Loss_G: 0.036559 Loss_D_real: -0.025020 Loss_D_fake 0.001247
[484/5000][435/535][49743] Loss_D: -0.024207 Loss_G: -0.008898 Loss_D_real: 0.010520 Loss_D_fake 0.034727
[484/5000][440/535][49744] Loss_D: -0.027247 Loss_G: 0.010399 Loss_D_real: -0.019481 Loss_D_fake 0.007767
[484/5000][445/535][49745] Loss_D: -0.027409 Loss_G: 0.034246 Loss_D_real: -0.032545 Loss_D_fake -0.005136
[484/5000][450/535][49746] Loss_D: -0.027850 Loss_G: 0.009058 Loss_D_real: -0.018759 Loss_D_fake 0.009091
[484/5000][455/535][49747] Loss_D: -0.026652 Loss_G: 0.024304 Loss_D_real: -0.017048 Loss_D_fake 0.009604
[484/5000][460/535][49748] Loss_D: -0.029221 Loss_G: 0.011276 Loss_D_real: -0.002888 Loss_D_fake 0.026333
[484/5000][465/535][49749] Loss_D: -0.026991 Loss_G: 0.024534 Loss_D_real: -0.013386 Loss_D_fake 0.013605
[484/5000][470/535][49750] Loss_D: -0.026596 Loss_G: 0.037787 Loss_D_real: -0.027423 Loss_D_fake -0.000827
[484/5000][475/535][49751] Loss_D: -0.025703 Loss_G: 0.018817 Loss_D_real: -0.014828 Loss_D_fake 0.010875
[484/5000][480/535][49752] Loss_D: -0.025574 Loss_G: 0.034149 Loss_D_real: -0.038262 Loss_D_fake -0.012689
[484/5000][485/535][49753] Loss_D: -0.027471 Loss_G: 0.001636 Loss_D_real: -0.009220 Loss_D_fake 0.018251
[484/5000][490/535][49754] Loss_D: -0.026399 Loss_G: 0.033952 Loss_D_real: -0.030252 Loss_D_fake -0.003853
[484/5000][495/535][49755] Loss_D: -0.026993 Loss_G: -0.009075 Loss_D_real: -0.001034 Loss_D_fake 0.025959
[484/5000][500/535][49756] Loss_D: -0.026327 Loss_G: 0.034850 Loss_D_real: -0.031448 Loss_D_fake -0.005122
[484/5000][505/535][49757] Loss_D: -0.028735 Loss_G: 0.010082 Loss_D_real: -0.017858 Loss_D_fake 0.010878
[484/5000][510/535][49758] Loss_D: -0.028917 Loss_G: 0.020956 Loss_D_real: -0.015763 Loss_D_fake 0.013154
[484/5000][515/535][49759] Loss_D: -0.027166 Loss_G: 0.032812 Loss_D_real: -0.035198 Loss_D_fake -0.008032
[484/5000][520/535][49760] Loss_D: -0.028122 Loss_G: 0.016176 Loss_D_real: -0.026195 Loss_D_fake 0.001927
[484/5000][525/535][49761] Loss_D: -0.028914 Loss_G: 0.005687 Loss_D_real: -0.017619 Loss_D_fake 0.011295
[484/5000][530/535][49762] Loss_D: -0.027378 Loss_G: 0.016655 Loss_D_real: -0.011322 Loss_D_fake 0.016057
[484/5000][535/535][49763] Loss_D: -0.025595 Loss_G: 0.008182 Loss_D_real: -0.026502 Loss_D_fake -0.000906
[485/5000][5/535][49764] Loss_D: -0.028189 Loss_G: 0.028995 Loss_D_real: -0.020052 Loss_D_fake 0.008137
[485/5000][10/535][49765] Loss_D: -0.027773 Loss_G: 0.010064 Loss_D_real: -0.016498 Loss_D_fake 0.011275
[485/5000][15/535][49766] Loss_D: -0.026907 Loss_G: 0.036248 Loss_D_real: -0.037737 Loss_D_fake -0.010829
[485/5000][20/535][49767] Loss_D: -0.027036 Loss_G: 0.000784 Loss_D_real: -0.011426 Loss_D_fake 0.015611
[485/5000][25/535][49768] Loss_D: -0.026611 Loss_G: 0.006643 Loss_D_real: -0.018341 Loss_D_fake 0.008271
[485/5000][30/535][49769] Loss_D: -0.025950 Loss_G: 0.026763 Loss_D_real: -0.027549 Loss_D_fake -0.001599
[485/5000][35/535][49770] Loss_D: -0.027194 Loss_G: 0.018702 Loss_D_real: -0.008669 Loss_D_fake 0.018525
[485/5000][40/535][49771] Loss_D: -0.027318 Loss_G: 0.006137 Loss_D_real: -0.014099 Loss_D_fake 0.013219
[485/5000][45/535][49772] Loss_D: -0.026570 Loss_G: 0.019031 Loss_D_real: -0.025653 Loss_D_fake 0.000917
[485/5000][50/535][49773] Loss_D: -0.026025 Loss_G: -0.015291 Loss_D_real: 0.001727 Loss_D_fake 0.027752
[485/5000][55/535][49774] Loss_D: -0.026633 Loss_G: 0.029005 Loss_D_real: -0.028347 Loss_D_fake -0.001713
[485/5000][60/535][49775] Loss_D: -0.025470 Loss_G: -0.006550 Loss_D_real: -0.011709 Loss_D_fake 0.013761
[485/5000][65/535][49776] Loss_D: -0.026549 Loss_G: 0.027246 Loss_D_real: -0.021336 Loss_D_fake 0.005213
[485/5000][70/535][49777] Loss_D: -0.025187 Loss_G: 0.018234 Loss_D_real: -0.024267 Loss_D_fake 0.000920
[485/5000][75/535][49778] Loss_D: -0.027751 Loss_G: 0.020743 Loss_D_real: -0.027138 Loss_D_fake 0.000613
[485/5000][80/535][49779] Loss_D: -0.026311 Loss_G: 0.008164 Loss_D_real: -0.008831 Loss_D_fake 0.017480
[485/5000][85/535][49780] Loss_D: -0.026123 Loss_G: 0.004582 Loss_D_real: -0.015310 Loss_D_fake 0.010813
[485/5000][90/535][49781] Loss_D: -0.026074 Loss_G: -0.004835 Loss_D_real: -0.005590 Loss_D_fake 0.020483
[485/5000][95/535][49782] Loss_D: -0.026965 Loss_G: 0.022955 Loss_D_real: -0.018170 Loss_D_fake 0.008795
[485/5000][100/535][49783] Loss_D: -0.027724 Loss_G: -0.010773 Loss_D_real: 0.003057 Loss_D_fake 0.030781
[485/5000][105/535][49784] Loss_D: -0.028108 Loss_G: 0.025191 Loss_D_real: -0.025099 Loss_D_fake 0.003009
[485/5000][110/535][49785] Loss_D: -0.028079 Loss_G: 0.020587 Loss_D_real: -0.022334 Loss_D_fake 0.005746
[485/5000][115/535][49786] Loss_D: -0.027614 Loss_G: 0.034926 Loss_D_real: -0.033651 Loss_D_fake -0.006037
[485/5000][120/535][49787] Loss_D: -0.028337 Loss_G: 0.008448 Loss_D_real: -0.022339 Loss_D_fake 0.005998
[485/5000][125/535][49788] Loss_D: -0.026479 Loss_G: 0.007286 Loss_D_real: -0.012221 Loss_D_fake 0.014258
[485/5000][130/535][49789] Loss_D: -0.027778 Loss_G: -0.007309 Loss_D_real: -0.002070 Loss_D_fake 0.025708
[485/5000][135/535][49790] Loss_D: -0.027440 Loss_G: 0.006050 Loss_D_real: -0.012182 Loss_D_fake 0.015258
[485/5000][140/535][49791] Loss_D: -0.026892 Loss_G: 0.024167 Loss_D_real: -0.025585 Loss_D_fake 0.001308
[485/5000][145/535][49792] Loss_D: -0.027082 Loss_G: 0.021279 Loss_D_real: -0.019917 Loss_D_fake 0.007165
[485/5000][150/535][49793] Loss_D: -0.027604 Loss_G: -0.005869 Loss_D_real: 0.002537 Loss_D_fake 0.030141
[485/5000][155/535][49794] Loss_D: -0.026509 Loss_G: 0.018601 Loss_D_real: -0.027712 Loss_D_fake -0.001203
[485/5000][160/535][49795] Loss_D: -0.027812 Loss_G: 0.016326 Loss_D_real: -0.024302 Loss_D_fake 0.003511
[485/5000][165/535][49796] Loss_D: -0.025769 Loss_G: 0.031225 Loss_D_real: -0.027519 Loss_D_fake -0.001751
[485/5000][170/535][49797] Loss_D: -0.028959 Loss_G: 0.008916 Loss_D_real: -0.020021 Loss_D_fake 0.008938
[485/5000][175/535][49798] Loss_D: -0.026903 Loss_G: 0.005673 Loss_D_real: -0.017654 Loss_D_fake 0.009250
[485/5000][180/535][49799] Loss_D: -0.028133 Loss_G: 0.011818 Loss_D_real: -0.013373 Loss_D_fake 0.014760
[485/5000][185/535][49800] Loss_D: -0.027095 Loss_G: 0.010192 Loss_D_real: -0.006987 Loss_D_fake 0.020108
[485/5000][190/535][49801] Loss_D: -0.025814 Loss_G: 0.014800 Loss_D_real: -0.014436 Loss_D_fake 0.011378
[485/5000][195/535][49802] Loss_D: -0.025021 Loss_G: 0.039258 Loss_D_real: -0.029037 Loss_D_fake -0.004016
[485/5000][200/535][49803] Loss_D: -0.025224 Loss_G: 0.015514 Loss_D_real: -0.019918 Loss_D_fake 0.005306
[485/5000][205/535][49804] Loss_D: -0.027609 Loss_G: 0.020595 Loss_D_real: -0.022132 Loss_D_fake 0.005477
[485/5000][210/535][49805] Loss_D: -0.027416 Loss_G: 0.000465 Loss_D_real: -0.006524 Loss_D_fake 0.020891
[485/5000][215/535][49806] Loss_D: -0.025307 Loss_G: 0.038326 Loss_D_real: -0.029568 Loss_D_fake -0.004261
[485/5000][220/535][49807] Loss_D: -0.026329 Loss_G: -0.005037 Loss_D_real: -0.002384 Loss_D_fake 0.023945
[485/5000][225/535][49808] Loss_D: -0.026773 Loss_G: 0.022264 Loss_D_real: -0.024500 Loss_D_fake 0.002273
[485/5000][230/535][49809] Loss_D: -0.026496 Loss_G: 0.027364 Loss_D_real: -0.022680 Loss_D_fake 0.003816
[485/5000][235/535][49810] Loss_D: -0.027403 Loss_G: 0.005836 Loss_D_real: -0.015111 Loss_D_fake 0.012293
[485/5000][240/535][49811] Loss_D: -0.026159 Loss_G: 0.016128 Loss_D_real: -0.024649 Loss_D_fake 0.001510
[485/5000][245/535][49812] Loss_D: -0.027858 Loss_G: 0.010731 Loss_D_real: -0.009146 Loss_D_fake 0.018712
[485/5000][250/535][49813] Loss_D: -0.027005 Loss_G: 0.012754 Loss_D_real: -0.022647 Loss_D_fake 0.004358
[485/5000][255/535][49814] Loss_D: -0.027680 Loss_G: 0.011120 Loss_D_real: -0.017836 Loss_D_fake 0.009844
[485/5000][260/535][49815] Loss_D: -0.027553 Loss_G: 0.011380 Loss_D_real: -0.011010 Loss_D_fake 0.016544
[485/5000][265/535][49816] Loss_D: -0.026621 Loss_G: 0.019393 Loss_D_real: -0.014683 Loss_D_fake 0.011938
[485/5000][270/535][49817] Loss_D: -0.028767 Loss_G: 0.015151 Loss_D_real: -0.022358 Loss_D_fake 0.006408
[485/5000][275/535][49818] Loss_D: -0.025520 Loss_G: -0.007227 Loss_D_real: -0.002278 Loss_D_fake 0.023242
[485/5000][280/535][49819] Loss_D: -0.024334 Loss_G: 0.030002 Loss_D_real: -0.029096 Loss_D_fake -0.004762
[485/5000][285/535][49820] Loss_D: -0.026218 Loss_G: 0.008173 Loss_D_real: -0.014275 Loss_D_fake 0.011943
[485/5000][290/535][49821] Loss_D: -0.026604 Loss_G: -0.004067 Loss_D_real: -0.006613 Loss_D_fake 0.019991
[485/5000][295/535][49822] Loss_D: -0.026932 Loss_G: 0.011991 Loss_D_real: -0.008950 Loss_D_fake 0.017982
[485/5000][300/535][49823] Loss_D: -0.026922 Loss_G: 0.018086 Loss_D_real: -0.019015 Loss_D_fake 0.007907
[485/5000][305/535][49824] Loss_D: -0.027144 Loss_G: -0.017306 Loss_D_real: -0.006089 Loss_D_fake 0.021056
[485/5000][310/535][49825] Loss_D: -0.026016 Loss_G: 0.008774 Loss_D_real: -0.018390 Loss_D_fake 0.007626
[485/5000][315/535][49826] Loss_D: -0.026692 Loss_G: 0.021370 Loss_D_real: -0.030030 Loss_D_fake -0.003338
[485/5000][320/535][49827] Loss_D: -0.025615 Loss_G: -0.010603 Loss_D_real: 0.011522 Loss_D_fake 0.037138
[485/5000][325/535][49828] Loss_D: -0.027948 Loss_G: 0.029091 Loss_D_real: -0.019889 Loss_D_fake 0.008060
[485/5000][330/535][49829] Loss_D: -0.024943 Loss_G: -0.001714 Loss_D_real: -0.013784 Loss_D_fake 0.011159
[485/5000][335/535][49830] Loss_D: -0.025807 Loss_G: -0.007633 Loss_D_real: -0.003108 Loss_D_fake 0.022699
[485/5000][340/535][49831] Loss_D: -0.026280 Loss_G: 0.023244 Loss_D_real: -0.027035 Loss_D_fake -0.000754
[485/5000][345/535][49832] Loss_D: -0.027453 Loss_G: 0.005716 Loss_D_real: -0.017500 Loss_D_fake 0.009953
[485/5000][350/535][49833] Loss_D: -0.026748 Loss_G: 0.033727 Loss_D_real: -0.031041 Loss_D_fake -0.004293
[485/5000][355/535][49834] Loss_D: -0.022961 Loss_G: -0.014937 Loss_D_real: 0.017830 Loss_D_fake 0.040791
[485/5000][360/535][49835] Loss_D: -0.025271 Loss_G: 0.026968 Loss_D_real: -0.031236 Loss_D_fake -0.005965
[485/5000][365/535][49836] Loss_D: -0.027269 Loss_G: 0.014275 Loss_D_real: -0.016118 Loss_D_fake 0.011152
[485/5000][370/535][49837] Loss_D: -0.026616 Loss_G: 0.024125 Loss_D_real: -0.024578 Loss_D_fake 0.002037
[485/5000][375/535][49838] Loss_D: -0.027082 Loss_G: 0.003187 Loss_D_real: -0.002713 Loss_D_fake 0.024369
[485/5000][380/535][49839] Loss_D: -0.025494 Loss_G: 0.024482 Loss_D_real: -0.020271 Loss_D_fake 0.005223
[485/5000][385/535][49840] Loss_D: -0.027337 Loss_G: 0.000593 Loss_D_real: 0.000241 Loss_D_fake 0.027578
[485/5000][390/535][49841] Loss_D: -0.026327 Loss_G: 0.020492 Loss_D_real: -0.030742 Loss_D_fake -0.004416
[485/5000][395/535][49842] Loss_D: -0.026598 Loss_G: 0.010966 Loss_D_real: -0.012915 Loss_D_fake 0.013682
[485/5000][400/535][49843] Loss_D: -0.025234 Loss_G: 0.034487 Loss_D_real: -0.037420 Loss_D_fake -0.012186
[485/5000][405/535][49844] Loss_D: -0.026502 Loss_G: 0.014519 Loss_D_real: -0.018337 Loss_D_fake 0.008165
[485/5000][410/535][49845] Loss_D: -0.025915 Loss_G: 0.044513 Loss_D_real: -0.034163 Loss_D_fake -0.008249
[485/5000][415/535][49846] Loss_D: -0.027034 Loss_G: 0.014311 Loss_D_real: -0.014895 Loss_D_fake 0.012139
[485/5000][420/535][49847] Loss_D: -0.025947 Loss_G: 0.017734 Loss_D_real: -0.021991 Loss_D_fake 0.003956
[485/5000][425/535][49848] Loss_D: -0.026789 Loss_G: 0.022410 Loss_D_real: -0.028456 Loss_D_fake -0.001667
[485/5000][430/535][49849] Loss_D: -0.026961 Loss_G: 0.006692 Loss_D_real: -0.024844 Loss_D_fake 0.002117
[485/5000][435/535][49850] Loss_D: -0.027196 Loss_G: 0.019818 Loss_D_real: -0.020391 Loss_D_fake 0.006805
[485/5000][440/535][49851] Loss_D: -0.027810 Loss_G: 0.017876 Loss_D_real: -0.021297 Loss_D_fake 0.006513
[485/5000][445/535][49852] Loss_D: -0.026215 Loss_G: 0.027816 Loss_D_real: -0.027827 Loss_D_fake -0.001612
[485/5000][450/535][49853] Loss_D: -0.026761 Loss_G: 0.002652 Loss_D_real: -0.014861 Loss_D_fake 0.011901
[485/5000][455/535][49854] Loss_D: -0.027679 Loss_G: 0.006904 Loss_D_real: -0.015006 Loss_D_fake 0.012673
[485/5000][460/535][49855] Loss_D: -0.026556 Loss_G: 0.019148 Loss_D_real: -0.031693 Loss_D_fake -0.005137
[485/5000][465/535][49856] Loss_D: -0.027736 Loss_G: -0.008683 Loss_D_real: 0.002124 Loss_D_fake 0.029860
[485/5000][470/535][49857] Loss_D: -0.026607 Loss_G: 0.019034 Loss_D_real: -0.018396 Loss_D_fake 0.008210
[485/5000][475/535][49858] Loss_D: -0.026894 Loss_G: 0.023327 Loss_D_real: -0.021054 Loss_D_fake 0.005840
[485/5000][480/535][49859] Loss_D: -0.027074 Loss_G: 0.012663 Loss_D_real: -0.005595 Loss_D_fake 0.021479
[485/5000][485/535][49860] Loss_D: -0.026564 Loss_G: 0.006797 Loss_D_real: -0.009183 Loss_D_fake 0.017381
[485/5000][490/535][49861] Loss_D: -0.027505 Loss_G: 0.021372 Loss_D_real: -0.015506 Loss_D_fake 0.012000
[485/5000][495/535][49862] Loss_D: -0.027997 Loss_G: 0.028387 Loss_D_real: -0.019651 Loss_D_fake 0.008346
[485/5000][500/535][49863] Loss_D: -0.025753 Loss_G: 0.016790 Loss_D_real: -0.021262 Loss_D_fake 0.004491
[485/5000][505/535][49864] Loss_D: -0.027315 Loss_G: 0.005123 Loss_D_real: -0.010069 Loss_D_fake 0.017246
[485/5000][510/535][49865] Loss_D: -0.026814 Loss_G: 0.014058 Loss_D_real: -0.012889 Loss_D_fake 0.013925
[485/5000][515/535][49866] Loss_D: -0.026811 Loss_G: 0.026901 Loss_D_real: -0.027642 Loss_D_fake -0.000831
[485/5000][520/535][49867] Loss_D: -0.026550 Loss_G: 0.028846 Loss_D_real: -0.029295 Loss_D_fake -0.002745
[485/5000][525/535][49868] Loss_D: -0.025738 Loss_G: -0.004755 Loss_D_real: -0.001377 Loss_D_fake 0.024362
[485/5000][530/535][49869] Loss_D: -0.025181 Loss_G: 0.028909 Loss_D_real: -0.034761 Loss_D_fake -0.009580
[485/5000][535/535][49870] Loss_D: -0.031131 Loss_G: 0.013776 Loss_D_real: -0.015048 Loss_D_fake 0.016083
[486/5000][5/535][49871] Loss_D: -0.025366 Loss_G: -0.000695 Loss_D_real: -0.011503 Loss_D_fake 0.013863
[486/5000][10/535][49872] Loss_D: -0.026580 Loss_G: 0.021284 Loss_D_real: -0.024403 Loss_D_fake 0.002177
[486/5000][15/535][49873] Loss_D: -0.025414 Loss_G: 0.035722 Loss_D_real: -0.030083 Loss_D_fake -0.004669
[486/5000][20/535][49874] Loss_D: -0.026640 Loss_G: 0.028659 Loss_D_real: -0.025707 Loss_D_fake 0.000933
[486/5000][25/535][49875] Loss_D: -0.027159 Loss_G: -0.004798 Loss_D_real: -0.011840 Loss_D_fake 0.015319
[486/5000][30/535][49876] Loss_D: -0.026072 Loss_G: 0.026235 Loss_D_real: -0.029733 Loss_D_fake -0.003661
[486/5000][35/535][49877] Loss_D: -0.028177 Loss_G: 0.007691 Loss_D_real: -0.007282 Loss_D_fake 0.020895
[486/5000][40/535][49878] Loss_D: -0.025806 Loss_G: -0.008681 Loss_D_real: -0.001227 Loss_D_fake 0.024579
[486/5000][45/535][49879] Loss_D: -0.025044 Loss_G: 0.031288 Loss_D_real: -0.029604 Loss_D_fake -0.004560
[486/5000][50/535][49880] Loss_D: -0.025884 Loss_G: 0.018051 Loss_D_real: -0.009889 Loss_D_fake 0.015995
[486/5000][55/535][49881] Loss_D: -0.026282 Loss_G: 0.002373 Loss_D_real: -0.008332 Loss_D_fake 0.017950
[486/5000][60/535][49882] Loss_D: -0.024059 Loss_G: -0.011864 Loss_D_real: 0.010185 Loss_D_fake 0.034243
[486/5000][65/535][49883] Loss_D: -0.025849 Loss_G: 0.009433 Loss_D_real: -0.026364 Loss_D_fake -0.000515
[486/5000][70/535][49884] Loss_D: -0.026451 Loss_G: -0.007485 Loss_D_real: -0.005205 Loss_D_fake 0.021246
[486/5000][75/535][49885] Loss_D: -0.026267 Loss_G: 0.014244 Loss_D_real: -0.009390 Loss_D_fake 0.016877
[486/5000][80/535][49886] Loss_D: -0.027920 Loss_G: 0.007623 Loss_D_real: -0.017502 Loss_D_fake 0.010418
[486/5000][85/535][49887] Loss_D: -0.026770 Loss_G: 0.022941 Loss_D_real: -0.027366 Loss_D_fake -0.000596
[486/5000][90/535][49888] Loss_D: -0.027398 Loss_G: 0.018576 Loss_D_real: -0.015333 Loss_D_fake 0.012066
[486/5000][95/535][49889] Loss_D: -0.027237 Loss_G: 0.005235 Loss_D_real: -0.005736 Loss_D_fake 0.021500
[486/5000][100/535][49890] Loss_D: -0.027126 Loss_G: 0.010534 Loss_D_real: -0.020603 Loss_D_fake 0.006523
[486/5000][105/535][49891] Loss_D: -0.026786 Loss_G: 0.007760 Loss_D_real: -0.013594 Loss_D_fake 0.013192
[486/5000][110/535][49892] Loss_D: -0.026184 Loss_G: 0.004080 Loss_D_real: -0.009760 Loss_D_fake 0.016425
[486/5000][115/535][49893] Loss_D: -0.028692 Loss_G: 0.022917 Loss_D_real: -0.020659 Loss_D_fake 0.008033
[486/5000][120/535][49894] Loss_D: -0.026296 Loss_G: 0.004946 Loss_D_real: -0.016568 Loss_D_fake 0.009729
[486/5000][125/535][49895] Loss_D: -0.027304 Loss_G: 0.029972 Loss_D_real: -0.025443 Loss_D_fake 0.001861
[486/5000][130/535][49896] Loss_D: -0.027305 Loss_G: 0.010781 Loss_D_real: -0.011898 Loss_D_fake 0.015407
[486/5000][135/535][49897] Loss_D: -0.027059 Loss_G: 0.013063 Loss_D_real: -0.022032 Loss_D_fake 0.005027
[486/5000][140/535][49898] Loss_D: -0.026500 Loss_G: 0.011247 Loss_D_real: -0.011475 Loss_D_fake 0.015025
[486/5000][145/535][49899] Loss_D: -0.028439 Loss_G: 0.014924 Loss_D_real: -0.021000 Loss_D_fake 0.007439
[486/5000][150/535][49900] Loss_D: -0.027655 Loss_G: 0.018251 Loss_D_real: -0.017204 Loss_D_fake 0.010451
[486/5000][155/535][49901] Loss_D: -0.028033 Loss_G: 0.003126 Loss_D_real: -0.008929 Loss_D_fake 0.019104
[486/5000][160/535][49902] Loss_D: -0.026118 Loss_G: 0.023704 Loss_D_real: -0.036892 Loss_D_fake -0.010775
[486/5000][165/535][49903] Loss_D: -0.026157 Loss_G: 0.020127 Loss_D_real: -0.021328 Loss_D_fake 0.004829
[486/5000][170/535][49904] Loss_D: -0.025856 Loss_G: 0.011271 Loss_D_real: -0.010123 Loss_D_fake 0.015732
[486/5000][175/535][49905] Loss_D: -0.025449 Loss_G: 0.035498 Loss_D_real: -0.034585 Loss_D_fake -0.009136
[486/5000][180/535][49906] Loss_D: -0.028387 Loss_G: -0.001184 Loss_D_real: -0.020560 Loss_D_fake 0.007827
[486/5000][185/535][49907] Loss_D: -0.026437 Loss_G: -0.001987 Loss_D_real: -0.001207 Loss_D_fake 0.025229
[486/5000][190/535][49908] Loss_D: -0.028137 Loss_G: 0.030446 Loss_D_real: -0.027477 Loss_D_fake 0.000660
[486/5000][195/535][49909] Loss_D: -0.026263 Loss_G: 0.031242 Loss_D_real: -0.028444 Loss_D_fake -0.002181
[486/5000][200/535][49910] Loss_D: -0.026194 Loss_G: 0.002024 Loss_D_real: -0.011179 Loss_D_fake 0.015015
[486/5000][205/535][49911] Loss_D: -0.027260 Loss_G: 0.019045 Loss_D_real: -0.016432 Loss_D_fake 0.010827
[486/5000][210/535][49912] Loss_D: -0.026393 Loss_G: 0.000647 Loss_D_real: -0.004748 Loss_D_fake 0.021645
[486/5000][215/535][49913] Loss_D: -0.025785 Loss_G: 0.023106 Loss_D_real: -0.022743 Loss_D_fake 0.003042
[486/5000][220/535][49914] Loss_D: -0.026829 Loss_G: -0.007724 Loss_D_real: -0.013255 Loss_D_fake 0.013574
[486/5000][225/535][49915] Loss_D: -0.027203 Loss_G: 0.021262 Loss_D_real: -0.012809 Loss_D_fake 0.014394
[486/5000][230/535][49916] Loss_D: -0.025968 Loss_G: 0.001869 Loss_D_real: -0.010824 Loss_D_fake 0.015144
[486/5000][235/535][49917] Loss_D: -0.026417 Loss_G: 0.024883 Loss_D_real: -0.032001 Loss_D_fake -0.005584
[486/5000][240/535][49918] Loss_D: -0.028157 Loss_G: -0.001177 Loss_D_real: -0.011399 Loss_D_fake 0.016758
[486/5000][245/535][49919] Loss_D: -0.023845 Loss_G: 0.027213 Loss_D_real: -0.030433 Loss_D_fake -0.006588
[486/5000][250/535][49920] Loss_D: -0.027095 Loss_G: 0.027996 Loss_D_real: -0.027214 Loss_D_fake -0.000119
[486/5000][255/535][49921] Loss_D: -0.027457 Loss_G: 0.000882 Loss_D_real: 0.002668 Loss_D_fake 0.030125
[486/5000][260/535][49922] Loss_D: -0.028522 Loss_G: -0.002448 Loss_D_real: -0.010574 Loss_D_fake 0.017948
[486/5000][265/535][49923] Loss_D: -0.027058 Loss_G: 0.000474 Loss_D_real: -0.011930 Loss_D_fake 0.015129
[486/5000][270/535][49924] Loss_D: -0.028063 Loss_G: 0.004512 Loss_D_real: -0.014635 Loss_D_fake 0.013428
[486/5000][275/535][49925] Loss_D: -0.028305 Loss_G: 0.009720 Loss_D_real: -0.007936 Loss_D_fake 0.020369
[486/5000][280/535][49926] Loss_D: -0.026428 Loss_G: 0.015569 Loss_D_real: -0.017783 Loss_D_fake 0.008645
[486/5000][285/535][49927] Loss_D: -0.023838 Loss_G: 0.033768 Loss_D_real: -0.033834 Loss_D_fake -0.009997
[486/5000][290/535][49928] Loss_D: -0.026788 Loss_G: 0.002186 Loss_D_real: -0.004310 Loss_D_fake 0.022478
[486/5000][295/535][49929] Loss_D: -0.025649 Loss_G: 0.026710 Loss_D_real: -0.026770 Loss_D_fake -0.001121
[486/5000][300/535][49930] Loss_D: -0.027419 Loss_G: 0.014248 Loss_D_real: -0.018237 Loss_D_fake 0.009181
[486/5000][305/535][49931] Loss_D: -0.027145 Loss_G: 0.012511 Loss_D_real: -0.023210 Loss_D_fake 0.003935
[486/5000][310/535][49932] Loss_D: -0.026888 Loss_G: 0.015935 Loss_D_real: -0.030275 Loss_D_fake -0.003388
[486/5000][315/535][49933] Loss_D: -0.026450 Loss_G: 0.029830 Loss_D_real: -0.024019 Loss_D_fake 0.002431
[486/5000][320/535][49934] Loss_D: -0.027325 Loss_G: -0.003495 Loss_D_real: -0.012521 Loss_D_fake 0.014804
[486/5000][325/535][49935] Loss_D: -0.027023 Loss_G: -0.001550 Loss_D_real: -0.005187 Loss_D_fake 0.021836
[486/5000][330/535][49936] Loss_D: -0.025452 Loss_G: 0.024666 Loss_D_real: -0.026673 Loss_D_fake -0.001221
[486/5000][335/535][49937] Loss_D: -0.027070 Loss_G: 0.010533 Loss_D_real: -0.012257 Loss_D_fake 0.014813
[486/5000][340/535][49938] Loss_D: -0.026852 Loss_G: -0.014654 Loss_D_real: -0.007851 Loss_D_fake 0.019001
[486/5000][345/535][49939] Loss_D: -0.025270 Loss_G: 0.019663 Loss_D_real: -0.028169 Loss_D_fake -0.002899
[486/5000][350/535][49940] Loss_D: -0.025581 Loss_G: 0.028506 Loss_D_real: -0.034001 Loss_D_fake -0.008420
[486/5000][355/535][49941] Loss_D: -0.027528 Loss_G: 0.017589 Loss_D_real: -0.013317 Loss_D_fake 0.014211
[486/5000][360/535][49942] Loss_D: -0.026796 Loss_G: 0.019241 Loss_D_real: -0.023958 Loss_D_fake 0.002838
[486/5000][365/535][49943] Loss_D: -0.026051 Loss_G: 0.034681 Loss_D_real: -0.042485 Loss_D_fake -0.016435
[486/5000][370/535][49944] Loss_D: -0.027951 Loss_G: 0.020218 Loss_D_real: -0.023147 Loss_D_fake 0.004803
[486/5000][375/535][49945] Loss_D: -0.026925 Loss_G: -0.006855 Loss_D_real: -0.003917 Loss_D_fake 0.023008
[486/5000][380/535][49946] Loss_D: -0.027807 Loss_G: 0.005574 Loss_D_real: -0.016372 Loss_D_fake 0.011434
[486/5000][385/535][49947] Loss_D: -0.027614 Loss_G: 0.038238 Loss_D_real: -0.034393 Loss_D_fake -0.006778
[486/5000][390/535][49948] Loss_D: -0.028488 Loss_G: -0.004165 Loss_D_real: -0.007389 Loss_D_fake 0.021099
[486/5000][395/535][49949] Loss_D: -0.027542 Loss_G: 0.028553 Loss_D_real: -0.032950 Loss_D_fake -0.005408
[486/5000][400/535][49950] Loss_D: -0.029282 Loss_G: 0.019341 Loss_D_real: -0.025396 Loss_D_fake 0.003887
[486/5000][405/535][49951] Loss_D: -0.028913 Loss_G: -0.002122 Loss_D_real: -0.003586 Loss_D_fake 0.025327
[486/5000][410/535][49952] Loss_D: -0.030002 Loss_G: 0.014867 Loss_D_real: -0.019414 Loss_D_fake 0.010588
[486/5000][415/535][49953] Loss_D: -0.029611 Loss_G: 0.023681 Loss_D_real: -0.016978 Loss_D_fake 0.012632
[486/5000][420/535][49954] Loss_D: -0.026576 Loss_G: -0.001612 Loss_D_real: 0.001003 Loss_D_fake 0.027579
[486/5000][425/535][49955] Loss_D: -0.026534 Loss_G: 0.030486 Loss_D_real: -0.035061 Loss_D_fake -0.008527
[486/5000][430/535][49956] Loss_D: -0.027069 Loss_G: 0.005119 Loss_D_real: -0.013232 Loss_D_fake 0.013837
[486/5000][435/535][49957] Loss_D: -0.028573 Loss_G: 0.002477 Loss_D_real: -0.009694 Loss_D_fake 0.018879
[486/5000][440/535][49958] Loss_D: -0.028519 Loss_G: 0.001343 Loss_D_real: -0.010196 Loss_D_fake 0.018324
[486/5000][445/535][49959] Loss_D: -0.028711 Loss_G: 0.022797 Loss_D_real: -0.033192 Loss_D_fake -0.004482
[486/5000][450/535][49960] Loss_D: -0.027738 Loss_G: 0.026772 Loss_D_real: -0.018476 Loss_D_fake 0.009262
[486/5000][455/535][49961] Loss_D: -0.026384 Loss_G: 0.016995 Loss_D_real: -0.032224 Loss_D_fake -0.005840
[486/5000][460/535][49962] Loss_D: -0.026618 Loss_G: 0.029089 Loss_D_real: -0.035802 Loss_D_fake -0.009185
[486/5000][465/535][49963] Loss_D: -0.025699 Loss_G: -0.011628 Loss_D_real: 0.003136 Loss_D_fake 0.028835
[486/5000][470/535][49964] Loss_D: -0.026782 Loss_G: 0.023139 Loss_D_real: -0.024730 Loss_D_fake 0.002052
[486/5000][475/535][49965] Loss_D: -0.027449 Loss_G: 0.006348 Loss_D_real: -0.013669 Loss_D_fake 0.013780
[486/5000][480/535][49966] Loss_D: -0.026264 Loss_G: 0.003789 Loss_D_real: 0.000347 Loss_D_fake 0.026611
[486/5000][485/535][49967] Loss_D: -0.026282 Loss_G: 0.011905 Loss_D_real: -0.025408 Loss_D_fake 0.000874
[486/5000][490/535][49968] Loss_D: -0.027992 Loss_G: 0.003809 Loss_D_real: -0.013726 Loss_D_fake 0.014266
[486/5000][495/535][49969] Loss_D: -0.026338 Loss_G: 0.000033 Loss_D_real: -0.010337 Loss_D_fake 0.016001
[486/5000][500/535][49970] Loss_D: -0.026275 Loss_G: 0.015729 Loss_D_real: -0.010438 Loss_D_fake 0.015837
[486/5000][505/535][49971] Loss_D: -0.026143 Loss_G: 0.002571 Loss_D_real: -0.007158 Loss_D_fake 0.018985
[486/5000][510/535][49972] Loss_D: -0.026267 Loss_G: 0.006815 Loss_D_real: -0.005450 Loss_D_fake 0.020817
[486/5000][515/535][49973] Loss_D: -0.026000 Loss_G: 0.009866 Loss_D_real: -0.018404 Loss_D_fake 0.007596
[486/5000][520/535][49974] Loss_D: -0.026867 Loss_G: 0.012379 Loss_D_real: -0.021459 Loss_D_fake 0.005408
[486/5000][525/535][49975] Loss_D: -0.026582 Loss_G: 0.019864 Loss_D_real: -0.015448 Loss_D_fake 0.011134
[486/5000][530/535][49976] Loss_D: -0.026786 Loss_G: 0.028081 Loss_D_real: -0.031379 Loss_D_fake -0.004593
[486/5000][535/535][49977] Loss_D: -0.027308 Loss_G: 0.007386 Loss_D_real: -0.003894 Loss_D_fake 0.023414
[487/5000][5/535][49978] Loss_D: -0.027577 Loss_G: 0.032550 Loss_D_real: -0.028946 Loss_D_fake -0.001369
[487/5000][10/535][49979] Loss_D: -0.027921 Loss_G: 0.004886 Loss_D_real: -0.004278 Loss_D_fake 0.023643
[487/5000][15/535][49980] Loss_D: -0.027226 Loss_G: 0.007012 Loss_D_real: -0.020539 Loss_D_fake 0.006686
[487/5000][20/535][49981] Loss_D: -0.028232 Loss_G: 0.019040 Loss_D_real: -0.025391 Loss_D_fake 0.002841
[487/5000][25/535][49982] Loss_D: -0.026563 Loss_G: 0.012394 Loss_D_real: -0.013500 Loss_D_fake 0.013062
[487/5000][30/535][49983] Loss_D: -0.025202 Loss_G: 0.043524 Loss_D_real: -0.040979 Loss_D_fake -0.015778
[487/5000][35/535][49984] Loss_D: -0.027317 Loss_G: 0.006681 Loss_D_real: -0.022901 Loss_D_fake 0.004416
[487/5000][40/535][49985] Loss_D: -0.027333 Loss_G: 0.008696 Loss_D_real: -0.013302 Loss_D_fake 0.014032
[487/5000][45/535][49986] Loss_D: -0.025280 Loss_G: 0.010507 Loss_D_real: -0.015429 Loss_D_fake 0.009851
[487/5000][50/535][49987] Loss_D: -0.026985 Loss_G: -0.004595 Loss_D_real: -0.008423 Loss_D_fake 0.018562
[487/5000][55/535][49988] Loss_D: -0.026957 Loss_G: 0.017719 Loss_D_real: -0.010815 Loss_D_fake 0.016142
[487/5000][60/535][49989] Loss_D: -0.027427 Loss_G: 0.027777 Loss_D_real: -0.023580 Loss_D_fake 0.003847
[487/5000][65/535][49990] Loss_D: -0.026998 Loss_G: 0.015970 Loss_D_real: -0.021704 Loss_D_fake 0.005294
[487/5000][70/535][49991] Loss_D: -0.026961 Loss_G: 0.029680 Loss_D_real: -0.039253 Loss_D_fake -0.012292
[487/5000][75/535][49992] Loss_D: -0.026155 Loss_G: 0.008041 Loss_D_real: -0.019679 Loss_D_fake 0.006476
[487/5000][80/535][49993] Loss_D: -0.027742 Loss_G: -0.001131 Loss_D_real: -0.009634 Loss_D_fake 0.018109
[487/5000][85/535][49994] Loss_D: -0.027563 Loss_G: 0.024249 Loss_D_real: -0.015297 Loss_D_fake 0.012266
[487/5000][90/535][49995] Loss_D: -0.028044 Loss_G: -0.000522 Loss_D_real: -0.011930 Loss_D_fake 0.016114
[487/5000][95/535][49996] Loss_D: -0.027688 Loss_G: -0.008549 Loss_D_real: -0.005948 Loss_D_fake 0.021740
[487/5000][100/535][49997] Loss_D: -0.026499 Loss_G: 0.023600 Loss_D_real: -0.022441 Loss_D_fake 0.004058
[487/5000][105/535][49998] Loss_D: -0.026155 Loss_G: 0.028631 Loss_D_real: -0.029968 Loss_D_fake -0.003813
[487/5000][110/535][49999] Loss_D: -0.026202 Loss_G: 0.011919 Loss_D_real: -0.015434 Loss_D_fake 0.010768
[487/5000][115/535][50000] Loss_D: -0.027036 Loss_G: 0.004060 Loss_D_real: -0.018688 Loss_D_fake 0.008348
[487/5000][215/535][50001] Loss_D: -0.028969 Loss_G: -0.018070 Loss_D_real: 0.009901 Loss_D_fake 0.038870
[487/5000][220/535][50002] Loss_D: -0.026660 Loss_G: 0.015772 Loss_D_real: -0.017218 Loss_D_fake 0.009442
[487/5000][225/535][50003] Loss_D: -0.025122 Loss_G: 0.004160 Loss_D_real: -0.010697 Loss_D_fake 0.014426
[487/5000][230/535][50004] Loss_D: -0.025596 Loss_G: 0.017053 Loss_D_real: -0.021535 Loss_D_fake 0.004060
[487/5000][235/535][50005] Loss_D: -0.025961 Loss_G: 0.022579 Loss_D_real: -0.021475 Loss_D_fake 0.004486
[487/5000][240/535][50006] Loss_D: -0.025467 Loss_G: 0.007496 Loss_D_real: -0.013237 Loss_D_fake 0.012230
[487/5000][245/535][50007] Loss_D: -0.024722 Loss_G: 0.025120 Loss_D_real: -0.028218 Loss_D_fake -0.003497
[487/5000][250/535][50008] Loss_D: -0.026101 Loss_G: 0.022869 Loss_D_real: -0.022468 Loss_D_fake 0.003633
[487/5000][255/535][50009] Loss_D: -0.024976 Loss_G: 0.037798 Loss_D_real: -0.035249 Loss_D_fake -0.010273
[487/5000][260/535][50010] Loss_D: -0.025669 Loss_G: 0.002501 Loss_D_real: -0.009215 Loss_D_fake 0.016454
[487/5000][265/535][50011] Loss_D: -0.027101 Loss_G: 0.009385 Loss_D_real: -0.032380 Loss_D_fake -0.005279
[487/5000][270/535][50012] Loss_D: -0.026967 Loss_G: 0.028963 Loss_D_real: -0.019603 Loss_D_fake 0.007364
[487/5000][275/535][50013] Loss_D: -0.026095 Loss_G: 0.024558 Loss_D_real: -0.016096 Loss_D_fake 0.009999
[487/5000][280/535][50014] Loss_D: -0.027478 Loss_G: 0.014029 Loss_D_real: -0.027498 Loss_D_fake -0.000020
[487/5000][285/535][50015] Loss_D: -0.027502 Loss_G: 0.013233 Loss_D_real: -0.018857 Loss_D_fake 0.008645
[487/5000][290/535][50016] Loss_D: -0.026239 Loss_G: -0.005018 Loss_D_real: -0.002147 Loss_D_fake 0.024093
[487/5000][295/535][50017] Loss_D: -0.024931 Loss_G: 0.033105 Loss_D_real: -0.029689 Loss_D_fake -0.004758
[487/5000][300/535][50018] Loss_D: -0.027481 Loss_G: -0.008116 Loss_D_real: 0.004380 Loss_D_fake 0.031862
[487/5000][305/535][50019] Loss_D: -0.026109 Loss_G: 0.002583 Loss_D_real: -0.001161 Loss_D_fake 0.024948
[487/5000][310/535][50020] Loss_D: -0.027284 Loss_G: 0.015591 Loss_D_real: -0.015891 Loss_D_fake 0.011393
[487/5000][315/535][50021] Loss_D: -0.026570 Loss_G: 0.013550 Loss_D_real: -0.012711 Loss_D_fake 0.013859
[487/5000][320/535][50022] Loss_D: -0.025217 Loss_G: -0.001528 Loss_D_real: -0.002543 Loss_D_fake 0.022674
[487/5000][325/535][50023] Loss_D: -0.025561 Loss_G: 0.007083 Loss_D_real: -0.020156 Loss_D_fake 0.005405
[487/5000][330/535][50024] Loss_D: -0.026314 Loss_G: 0.014066 Loss_D_real: -0.015782 Loss_D_fake 0.010531
[487/5000][335/535][50025] Loss_D: -0.026300 Loss_G: 0.015349 Loss_D_real: -0.015939 Loss_D_fake 0.010362
[487/5000][340/535][50026] Loss_D: -0.023900 Loss_G: -0.014307 Loss_D_real: 0.006620 Loss_D_fake 0.030520
[487/5000][345/535][50027] Loss_D: -0.025620 Loss_G: 0.019243 Loss_D_real: -0.026090 Loss_D_fake -0.000470
[487/5000][350/535][50028] Loss_D: -0.024417 Loss_G: -0.013545 Loss_D_real: -0.004097 Loss_D_fake 0.020319
[487/5000][355/535][50029] Loss_D: -0.026788 Loss_G: 0.020068 Loss_D_real: -0.023964 Loss_D_fake 0.002825
[487/5000][360/535][50030] Loss_D: -0.027224 Loss_G: 0.009751 Loss_D_real: -0.013390 Loss_D_fake 0.013834
[487/5000][365/535][50031] Loss_D: -0.026186 Loss_G: 0.016769 Loss_D_real: -0.015412 Loss_D_fake 0.010774
[487/5000][370/535][50032] Loss_D: -0.025773 Loss_G: -0.006167 Loss_D_real: -0.001434 Loss_D_fake 0.024339
[487/5000][375/535][50033] Loss_D: -0.027566 Loss_G: 0.023710 Loss_D_real: -0.022461 Loss_D_fake 0.005105
[487/5000][380/535][50034] Loss_D: -0.027038 Loss_G: 0.012125 Loss_D_real: -0.016170 Loss_D_fake 0.010868
[487/5000][385/535][50035] Loss_D: -0.026467 Loss_G: 0.008880 Loss_D_real: -0.023832 Loss_D_fake 0.002635
[487/5000][390/535][50036] Loss_D: -0.026440 Loss_G: -0.008817 Loss_D_real: -0.010491 Loss_D_fake 0.015949
[487/5000][395/535][50037] Loss_D: -0.025827 Loss_G: 0.026585 Loss_D_real: -0.020992 Loss_D_fake 0.004834
[487/5000][400/535][50038] Loss_D: -0.026827 Loss_G: -0.001196 Loss_D_real: -0.009131 Loss_D_fake 0.017696
[487/5000][405/535][50039] Loss_D: -0.027806 Loss_G: 0.030078 Loss_D_real: -0.018788 Loss_D_fake 0.009018
[487/5000][410/535][50040] Loss_D: -0.027641 Loss_G: 0.013922 Loss_D_real: -0.013348 Loss_D_fake 0.014292
[487/5000][415/535][50041] Loss_D: -0.026545 Loss_G: 0.012856 Loss_D_real: -0.019698 Loss_D_fake 0.006847
[487/5000][420/535][50042] Loss_D: -0.026619 Loss_G: 0.023389 Loss_D_real: -0.020660 Loss_D_fake 0.005959
[487/5000][425/535][50043] Loss_D: -0.028061 Loss_G: -0.000590 Loss_D_real: -0.016318 Loss_D_fake 0.011742
[487/5000][430/535][50044] Loss_D: -0.028734 Loss_G: 0.016394 Loss_D_real: -0.030866 Loss_D_fake -0.002132
[487/5000][435/535][50045] Loss_D: -0.026377 Loss_G: 0.029845 Loss_D_real: -0.037728 Loss_D_fake -0.011351
[487/5000][440/535][50046] Loss_D: -0.026940 Loss_G: 0.007937 Loss_D_real: -0.012293 Loss_D_fake 0.014646
[487/5000][445/535][50047] Loss_D: -0.027639 Loss_G: 0.005192 Loss_D_real: -0.010690 Loss_D_fake 0.016949
[487/5000][450/535][50048] Loss_D: -0.028308 Loss_G: 0.026111 Loss_D_real: -0.018142 Loss_D_fake 0.010166
[487/5000][455/535][50049] Loss_D: -0.025919 Loss_G: 0.003272 Loss_D_real: -0.012055 Loss_D_fake 0.013864
[487/5000][460/535][50050] Loss_D: -0.026536 Loss_G: 0.022525 Loss_D_real: -0.028034 Loss_D_fake -0.001498
[487/5000][465/535][50051] Loss_D: -0.027588 Loss_G: 0.026780 Loss_D_real: -0.026813 Loss_D_fake 0.000774
[487/5000][470/535][50052] Loss_D: -0.027646 Loss_G: 0.016598 Loss_D_real: -0.012992 Loss_D_fake 0.014654
[487/5000][475/535][50053] Loss_D: -0.027217 Loss_G: 0.009134 Loss_D_real: -0.012789 Loss_D_fake 0.014428
[487/5000][480/535][50054] Loss_D: -0.026440 Loss_G: -0.003429 Loss_D_real: -0.005897 Loss_D_fake 0.020543
[487/5000][485/535][50055] Loss_D: -0.026299 Loss_G: 0.013223 Loss_D_real: -0.022349 Loss_D_fake 0.003950
[487/5000][490/535][50056] Loss_D: -0.025264 Loss_G: 0.023938 Loss_D_real: -0.027701 Loss_D_fake -0.002437
[487/5000][495/535][50057] Loss_D: -0.027097 Loss_G: 0.000891 Loss_D_real: -0.019815 Loss_D_fake 0.007282
[487/5000][500/535][50058] Loss_D: -0.026750 Loss_G: 0.029811 Loss_D_real: -0.034828 Loss_D_fake -0.008078
[487/5000][505/535][50059] Loss_D: -0.027150 Loss_G: 0.009868 Loss_D_real: -0.014862 Loss_D_fake 0.012288
[487/5000][510/535][50060] Loss_D: -0.026906 Loss_G: 0.018141 Loss_D_real: -0.024628 Loss_D_fake 0.002277
[487/5000][515/535][50061] Loss_D: -0.026593 Loss_G: 0.032964 Loss_D_real: -0.020572 Loss_D_fake 0.006021
[487/5000][520/535][50062] Loss_D: -0.028117 Loss_G: 0.012022 Loss_D_real: -0.017498 Loss_D_fake 0.010619
[487/5000][525/535][50063] Loss_D: -0.026267 Loss_G: 0.011394 Loss_D_real: -0.012354 Loss_D_fake 0.013913
[487/5000][530/535][50064] Loss_D: -0.025872 Loss_G: 0.022949 Loss_D_real: -0.024825 Loss_D_fake 0.001047
[487/5000][535/535][50065] Loss_D: -0.025686 Loss_G: 0.029486 Loss_D_real: -0.004664 Loss_D_fake 0.021022
[488/5000][5/535][50066] Loss_D: -0.027048 Loss_G: 0.031531 Loss_D_real: -0.021331 Loss_D_fake 0.005716
[488/5000][10/535][50067] Loss_D: -0.028013 Loss_G: -0.009801 Loss_D_real: 0.000910 Loss_D_fake 0.028923
[488/5000][15/535][50068] Loss_D: -0.027162 Loss_G: 0.002802 Loss_D_real: -0.008999 Loss_D_fake 0.018163
[488/5000][20/535][50069] Loss_D: -0.026694 Loss_G: 0.028235 Loss_D_real: -0.023062 Loss_D_fake 0.003633
[488/5000][25/535][50070] Loss_D: -0.028071 Loss_G: 0.011716 Loss_D_real: -0.020198 Loss_D_fake 0.007873
[488/5000][30/535][50071] Loss_D: -0.028065 Loss_G: 0.017173 Loss_D_real: -0.022271 Loss_D_fake 0.005795
[488/5000][35/535][50072] Loss_D: -0.030020 Loss_G: 0.010489 Loss_D_real: -0.012717 Loss_D_fake 0.017303
[488/5000][40/535][50073] Loss_D: -0.028555 Loss_G: 0.012568 Loss_D_real: -0.014265 Loss_D_fake 0.014291
[488/5000][45/535][50074] Loss_D: -0.028934 Loss_G: 0.028775 Loss_D_real: -0.028588 Loss_D_fake 0.000346
[488/5000][50/535][50075] Loss_D: -0.028132 Loss_G: 0.029492 Loss_D_real: -0.023475 Loss_D_fake 0.004657
[488/5000][55/535][50076] Loss_D: -0.028682 Loss_G: 0.021859 Loss_D_real: -0.024836 Loss_D_fake 0.003846
[488/5000][60/535][50077] Loss_D: -0.028894 Loss_G: 0.005350 Loss_D_real: -0.007884 Loss_D_fake 0.021010
[488/5000][65/535][50078] Loss_D: -0.027017 Loss_G: 0.002879 Loss_D_real: -0.017126 Loss_D_fake 0.009891
[488/5000][70/535][50079] Loss_D: -0.028922 Loss_G: 0.031229 Loss_D_real: -0.029342 Loss_D_fake -0.000420
[488/5000][75/535][50080] Loss_D: -0.028065 Loss_G: 0.004189 Loss_D_real: -0.018496 Loss_D_fake 0.009569
[488/5000][80/535][50081] Loss_D: -0.027467 Loss_G: 0.014782 Loss_D_real: -0.016622 Loss_D_fake 0.010844
[488/5000][85/535][50082] Loss_D: -0.028250 Loss_G: 0.035095 Loss_D_real: -0.029430 Loss_D_fake -0.001180
[488/5000][90/535][50083] Loss_D: -0.027930 Loss_G: 0.020780 Loss_D_real: -0.022503 Loss_D_fake 0.005427
[488/5000][95/535][50084] Loss_D: -0.026979 Loss_G: 0.026278 Loss_D_real: -0.033724 Loss_D_fake -0.006744
[488/5000][100/535][50085] Loss_D: -0.027228 Loss_G: 0.005518 Loss_D_real: -0.006036 Loss_D_fake 0.021192
[488/5000][105/535][50086] Loss_D: -0.028185 Loss_G: 0.014187 Loss_D_real: -0.026256 Loss_D_fake 0.001928
[488/5000][110/535][50087] Loss_D: -0.027811 Loss_G: 0.000254 Loss_D_real: -0.013878 Loss_D_fake 0.013933
[488/5000][115/535][50088] Loss_D: -0.025868 Loss_G: 0.033156 Loss_D_real: -0.027220 Loss_D_fake -0.001352
[488/5000][120/535][50089] Loss_D: -0.026930 Loss_G: 0.031779 Loss_D_real: -0.028206 Loss_D_fake -0.001276
[488/5000][125/535][50090] Loss_D: -0.026595 Loss_G: -0.016963 Loss_D_real: 0.002405 Loss_D_fake 0.029000
[488/5000][130/535][50091] Loss_D: -0.026530 Loss_G: 0.012849 Loss_D_real: -0.026178 Loss_D_fake 0.000353
[488/5000][135/535][50092] Loss_D: -0.028042 Loss_G: 0.017619 Loss_D_real: -0.019869 Loss_D_fake 0.008174
[488/5000][140/535][50093] Loss_D: -0.028821 Loss_G: 0.017830 Loss_D_real: -0.010045 Loss_D_fake 0.018776
[488/5000][145/535][50094] Loss_D: -0.027625 Loss_G: 0.019123 Loss_D_real: -0.019318 Loss_D_fake 0.008307
[488/5000][150/535][50095] Loss_D: -0.028614 Loss_G: 0.015179 Loss_D_real: -0.018992 Loss_D_fake 0.009621
[488/5000][155/535][50096] Loss_D: -0.026784 Loss_G: 0.019270 Loss_D_real: -0.022791 Loss_D_fake 0.003993
[488/5000][160/535][50097] Loss_D: -0.028463 Loss_G: 0.015544 Loss_D_real: -0.022058 Loss_D_fake 0.006404
[488/5000][165/535][50098] Loss_D: -0.026964 Loss_G: 0.024891 Loss_D_real: -0.031344 Loss_D_fake -0.004380
[488/5000][170/535][50099] Loss_D: -0.028147 Loss_G: -0.000504 Loss_D_real: -0.019048 Loss_D_fake 0.009100
[488/5000][175/535][50100] Loss_D: -0.026830 Loss_G: 0.028863 Loss_D_real: -0.031304 Loss_D_fake -0.004474
[488/5000][180/535][50101] Loss_D: -0.026257 Loss_G: -0.003992 Loss_D_real: -0.001531 Loss_D_fake 0.024726
[488/5000][185/535][50102] Loss_D: -0.026864 Loss_G: 0.011968 Loss_D_real: -0.025181 Loss_D_fake 0.001683
[488/5000][190/535][50103] Loss_D: -0.026390 Loss_G: -0.006522 Loss_D_real: -0.002913 Loss_D_fake 0.023476
[488/5000][195/535][50104] Loss_D: -0.026309 Loss_G: 0.001121 Loss_D_real: -0.008937 Loss_D_fake 0.017372
[488/5000][200/535][50105] Loss_D: -0.025985 Loss_G: 0.026607 Loss_D_real: -0.022072 Loss_D_fake 0.003912
[488/5000][205/535][50106] Loss_D: -0.026230 Loss_G: 0.009858 Loss_D_real: -0.009273 Loss_D_fake 0.016956
[488/5000][210/535][50107] Loss_D: -0.027656 Loss_G: 0.016108 Loss_D_real: -0.018874 Loss_D_fake 0.008782
[488/5000][215/535][50108] Loss_D: -0.026931 Loss_G: 0.018654 Loss_D_real: -0.002431 Loss_D_fake 0.024500
[488/5000][220/535][50109] Loss_D: -0.027630 Loss_G: 0.021400 Loss_D_real: -0.026335 Loss_D_fake 0.001295
[488/5000][225/535][50110] Loss_D: -0.028214 Loss_G: 0.007117 Loss_D_real: -0.014481 Loss_D_fake 0.013733
[488/5000][230/535][50111] Loss_D: -0.027020 Loss_G: -0.002906 Loss_D_real: -0.008692 Loss_D_fake 0.018329
[488/5000][235/535][50112] Loss_D: -0.026230 Loss_G: 0.021175 Loss_D_real: -0.020316 Loss_D_fake 0.005913
[488/5000][240/535][50113] Loss_D: -0.026441 Loss_G: 0.013447 Loss_D_real: -0.014356 Loss_D_fake 0.012085
[488/5000][245/535][50114] Loss_D: -0.027271 Loss_G: 0.009844 Loss_D_real: -0.014290 Loss_D_fake 0.012981
[488/5000][250/535][50115] Loss_D: -0.027796 Loss_G: 0.004557 Loss_D_real: -0.010333 Loss_D_fake 0.017463
[488/5000][255/535][50116] Loss_D: -0.026860 Loss_G: 0.027495 Loss_D_real: -0.024103 Loss_D_fake 0.002757
[488/5000][260/535][50117] Loss_D: -0.024541 Loss_G: 0.033557 Loss_D_real: -0.039946 Loss_D_fake -0.015404
[488/5000][265/535][50118] Loss_D: -0.027207 Loss_G: 0.016406 Loss_D_real: -0.018177 Loss_D_fake 0.009030
[488/5000][270/535][50119] Loss_D: -0.027088 Loss_G: 0.014560 Loss_D_real: -0.023577 Loss_D_fake 0.003511
[488/5000][275/535][50120] Loss_D: -0.027332 Loss_G: 0.010006 Loss_D_real: -0.010345 Loss_D_fake 0.016987
[488/5000][280/535][50121] Loss_D: -0.027801 Loss_G: 0.017095 Loss_D_real: -0.024990 Loss_D_fake 0.002811
[488/5000][285/535][50122] Loss_D: -0.026436 Loss_G: 0.037061 Loss_D_real: -0.037048 Loss_D_fake -0.010612
[488/5000][290/535][50123] Loss_D: -0.025437 Loss_G: -0.008985 Loss_D_real: -0.001009 Loss_D_fake 0.024428
[488/5000][295/535][50124] Loss_D: -0.026704 Loss_G: 0.026102 Loss_D_real: -0.021521 Loss_D_fake 0.005183
[488/5000][300/535][50125] Loss_D: -0.025630 Loss_G: 0.001015 Loss_D_real: -0.005110 Loss_D_fake 0.020520
[488/5000][305/535][50126] Loss_D: -0.026010 Loss_G: -0.011300 Loss_D_real: -0.001090 Loss_D_fake 0.024919
[488/5000][310/535][50127] Loss_D: -0.025956 Loss_G: 0.019469 Loss_D_real: -0.019936 Loss_D_fake 0.006020
[488/5000][315/535][50128] Loss_D: -0.025410 Loss_G: 0.023596 Loss_D_real: -0.027946 Loss_D_fake -0.002537
[488/5000][320/535][50129] Loss_D: -0.025906 Loss_G: 0.019581 Loss_D_real: -0.012247 Loss_D_fake 0.013660
[488/5000][325/535][50130] Loss_D: -0.026850 Loss_G: 0.006913 Loss_D_real: -0.005961 Loss_D_fake 0.020888
[488/5000][330/535][50131] Loss_D: -0.027391 Loss_G: 0.006575 Loss_D_real: -0.013255 Loss_D_fake 0.014136
[488/5000][335/535][50132] Loss_D: -0.026681 Loss_G: 0.029295 Loss_D_real: -0.024718 Loss_D_fake 0.001963
[488/5000][340/535][50133] Loss_D: -0.027063 Loss_G: 0.005918 Loss_D_real: -0.015617 Loss_D_fake 0.011446
[488/5000][345/535][50134] Loss_D: -0.026663 Loss_G: 0.036142 Loss_D_real: -0.031218 Loss_D_fake -0.004555
[488/5000][350/535][50135] Loss_D: -0.027954 Loss_G: 0.021243 Loss_D_real: -0.036426 Loss_D_fake -0.008472
[488/5000][355/535][50136] Loss_D: -0.028476 Loss_G: 0.008259 Loss_D_real: -0.011666 Loss_D_fake 0.016810
[488/5000][360/535][50137] Loss_D: -0.027276 Loss_G: -0.004467 Loss_D_real: -0.005704 Loss_D_fake 0.021571
[488/5000][365/535][50138] Loss_D: -0.026469 Loss_G: 0.029344 Loss_D_real: -0.031302 Loss_D_fake -0.004832
[488/5000][370/535][50139] Loss_D: -0.026640 Loss_G: 0.002229 Loss_D_real: -0.009048 Loss_D_fake 0.017592
[488/5000][375/535][50140] Loss_D: -0.026639 Loss_G: 0.017086 Loss_D_real: -0.013386 Loss_D_fake 0.013253
[488/5000][380/535][50141] Loss_D: -0.027336 Loss_G: 0.025825 Loss_D_real: -0.024367 Loss_D_fake 0.002969
[488/5000][385/535][50142] Loss_D: -0.027057 Loss_G: 0.001148 Loss_D_real: 0.003305 Loss_D_fake 0.030362
[488/5000][390/535][50143] Loss_D: -0.027162 Loss_G: 0.009488 Loss_D_real: -0.011734 Loss_D_fake 0.015428
[488/5000][395/535][50144] Loss_D: -0.027723 Loss_G: 0.041824 Loss_D_real: -0.032859 Loss_D_fake -0.005137
[488/5000][400/535][50145] Loss_D: -0.027349 Loss_G: 0.006832 Loss_D_real: -0.018090 Loss_D_fake 0.009259
[488/5000][405/535][50146] Loss_D: -0.027376 Loss_G: 0.020563 Loss_D_real: -0.028911 Loss_D_fake -0.001535
[488/5000][410/535][50147] Loss_D: -0.027184 Loss_G: 0.002501 Loss_D_real: -0.007600 Loss_D_fake 0.019585
[488/5000][415/535][50148] Loss_D: -0.026328 Loss_G: 0.011155 Loss_D_real: -0.009553 Loss_D_fake 0.016774
[488/5000][420/535][50149] Loss_D: -0.024729 Loss_G: 0.041022 Loss_D_real: -0.038089 Loss_D_fake -0.013360
[488/5000][425/535][50150] Loss_D: -0.027042 Loss_G: 0.022035 Loss_D_real: -0.021614 Loss_D_fake 0.005427
[488/5000][430/535][50151] Loss_D: -0.027031 Loss_G: 0.034112 Loss_D_real: -0.023510 Loss_D_fake 0.003522
[488/5000][435/535][50152] Loss_D: -0.028447 Loss_G: 0.008608 Loss_D_real: -0.011314 Loss_D_fake 0.017133
[488/5000][440/535][50153] Loss_D: -0.026754 Loss_G: 0.013231 Loss_D_real: -0.020424 Loss_D_fake 0.006330
[488/5000][445/535][50154] Loss_D: -0.027405 Loss_G: 0.018121 Loss_D_real: -0.022977 Loss_D_fake 0.004428
[488/5000][450/535][50155] Loss_D: -0.027198 Loss_G: -0.015136 Loss_D_real: -0.003750 Loss_D_fake 0.023448
[488/5000][455/535][50156] Loss_D: -0.027343 Loss_G: -0.000241 Loss_D_real: -0.017446 Loss_D_fake 0.009897
[488/5000][460/535][50157] Loss_D: -0.026446 Loss_G: 0.009453 Loss_D_real: -0.004278 Loss_D_fake 0.022168
[488/5000][465/535][50158] Loss_D: -0.025627 Loss_G: 0.030703 Loss_D_real: -0.030533 Loss_D_fake -0.004906
[488/5000][470/535][50159] Loss_D: -0.027145 Loss_G: 0.016476 Loss_D_real: -0.025981 Loss_D_fake 0.001164
[488/5000][475/535][50160] Loss_D: -0.026545 Loss_G: 0.023909 Loss_D_real: -0.029109 Loss_D_fake -0.002564
[488/5000][480/535][50161] Loss_D: -0.026472 Loss_G: 0.015765 Loss_D_real: -0.005209 Loss_D_fake 0.021263
[488/5000][485/535][50162] Loss_D: -0.027320 Loss_G: 0.008897 Loss_D_real: -0.016887 Loss_D_fake 0.010433
[488/5000][490/535][50163] Loss_D: -0.026696 Loss_G: 0.001432 Loss_D_real: -0.006875 Loss_D_fake 0.019821
[488/5000][495/535][50164] Loss_D: -0.026115 Loss_G: 0.022431 Loss_D_real: -0.017143 Loss_D_fake 0.008972
[488/5000][500/535][50165] Loss_D: -0.026123 Loss_G: 0.022794 Loss_D_real: -0.026353 Loss_D_fake -0.000230
[488/5000][505/535][50166] Loss_D: -0.028065 Loss_G: 0.007059 Loss_D_real: -0.013823 Loss_D_fake 0.014243
[488/5000][510/535][50167] Loss_D: -0.026146 Loss_G: -0.008132 Loss_D_real: -0.001195 Loss_D_fake 0.024950
[488/5000][515/535][50168] Loss_D: -0.024511 Loss_G: 0.017545 Loss_D_real: -0.009430 Loss_D_fake 0.015082
[488/5000][520/535][50169] Loss_D: -0.027411 Loss_G: 0.013551 Loss_D_real: -0.020510 Loss_D_fake 0.006901
[488/5000][525/535][50170] Loss_D: -0.025944 Loss_G: 0.030427 Loss_D_real: -0.030673 Loss_D_fake -0.004729
[488/5000][530/535][50171] Loss_D: -0.027040 Loss_G: -0.011042 Loss_D_real: -0.006210 Loss_D_fake 0.020829
[488/5000][535/535][50172] Loss_D: -0.025086 Loss_G: -0.008398 Loss_D_real: -0.025631 Loss_D_fake -0.000545
[489/5000][5/535][50173] Loss_D: -0.028074 Loss_G: 0.025916 Loss_D_real: -0.014877 Loss_D_fake 0.013197
[489/5000][10/535][50174] Loss_D: -0.026713 Loss_G: 0.021894 Loss_D_real: -0.007533 Loss_D_fake 0.019180
[489/5000][15/535][50175] Loss_D: -0.026638 Loss_G: 0.023632 Loss_D_real: -0.022309 Loss_D_fake 0.004329
[489/5000][20/535][50176] Loss_D: -0.025908 Loss_G: -0.003019 Loss_D_real: 0.001109 Loss_D_fake 0.027016
[489/5000][25/535][50177] Loss_D: -0.026422 Loss_G: -0.000925 Loss_D_real: -0.007403 Loss_D_fake 0.019019
[489/5000][30/535][50178] Loss_D: -0.025290 Loss_G: 0.021277 Loss_D_real: -0.027252 Loss_D_fake -0.001961
[489/5000][35/535][50179] Loss_D: -0.026067 Loss_G: -0.010765 Loss_D_real: -0.005528 Loss_D_fake 0.020539
[489/5000][40/535][50180] Loss_D: -0.026232 Loss_G: 0.002518 Loss_D_real: -0.012031 Loss_D_fake 0.014201
[489/5000][45/535][50181] Loss_D: -0.027777 Loss_G: 0.017489 Loss_D_real: -0.021390 Loss_D_fake 0.006387
[489/5000][50/535][50182] Loss_D: -0.027268 Loss_G: 0.020691 Loss_D_real: -0.015095 Loss_D_fake 0.012173
[489/5000][55/535][50183] Loss_D: -0.026106 Loss_G: -0.003162 Loss_D_real: -0.018634 Loss_D_fake 0.007471
[489/5000][60/535][50184] Loss_D: -0.026620 Loss_G: 0.024350 Loss_D_real: -0.017376 Loss_D_fake 0.009243
[489/5000][65/535][50185] Loss_D: -0.025889 Loss_G: 0.031458 Loss_D_real: -0.027856 Loss_D_fake -0.001967
[489/5000][70/535][50186] Loss_D: -0.025432 Loss_G: -0.013600 Loss_D_real: 0.006087 Loss_D_fake 0.031519
[489/5000][75/535][50187] Loss_D: -0.026560 Loss_G: 0.022942 Loss_D_real: -0.018769 Loss_D_fake 0.007791
[489/5000][80/535][50188] Loss_D: -0.028589 Loss_G: 0.011891 Loss_D_real: -0.020352 Loss_D_fake 0.008237
[489/5000][85/535][50189] Loss_D: -0.028525 Loss_G: 0.003372 Loss_D_real: -0.008534 Loss_D_fake 0.019991
[489/5000][90/535][50190] Loss_D: -0.026849 Loss_G: 0.020850 Loss_D_real: -0.029478 Loss_D_fake -0.002629
[489/5000][95/535][50191] Loss_D: -0.027804 Loss_G: 0.021815 Loss_D_real: -0.020729 Loss_D_fake 0.007075
[489/5000][100/535][50192] Loss_D: -0.026194 Loss_G: 0.007536 Loss_D_real: -0.006437 Loss_D_fake 0.019757
[489/5000][105/535][50193] Loss_D: -0.026477 Loss_G: 0.024832 Loss_D_real: -0.016201 Loss_D_fake 0.010276
[489/5000][110/535][50194] Loss_D: -0.028248 Loss_G: 0.018893 Loss_D_real: -0.025020 Loss_D_fake 0.003227
[489/5000][115/535][50195] Loss_D: -0.026937 Loss_G: 0.025749 Loss_D_real: -0.018330 Loss_D_fake 0.008608
[489/5000][120/535][50196] Loss_D: -0.026069 Loss_G: 0.014776 Loss_D_real: -0.017006 Loss_D_fake 0.009063
[489/5000][125/535][50197] Loss_D: -0.027742 Loss_G: 0.001046 Loss_D_real: -0.009439 Loss_D_fake 0.018303
[489/5000][130/535][50198] Loss_D: -0.026370 Loss_G: 0.006805 Loss_D_real: -0.009169 Loss_D_fake 0.017201
[489/5000][135/535][50199] Loss_D: -0.025481 Loss_G: 0.004177 Loss_D_real: -0.007999 Loss_D_fake 0.017483
[489/5000][140/535][50200] Loss_D: -0.025662 Loss_G: 0.023830 Loss_D_real: -0.026857 Loss_D_fake -0.001195
[489/5000][145/535][50201] Loss_D: -0.026927 Loss_G: 0.024346 Loss_D_real: -0.024626 Loss_D_fake 0.002301
[489/5000][150/535][50202] Loss_D: -0.026072 Loss_G: -0.004560 Loss_D_real: -0.008799 Loss_D_fake 0.017273
[489/5000][155/535][50203] Loss_D: -0.026980 Loss_G: 0.024739 Loss_D_real: -0.015373 Loss_D_fake 0.011607
[489/5000][160/535][50204] Loss_D: -0.027282 Loss_G: 0.019996 Loss_D_real: -0.015762 Loss_D_fake 0.011520
[489/5000][165/535][50205] Loss_D: -0.026517 Loss_G: 0.030980 Loss_D_real: -0.030556 Loss_D_fake -0.004039
[489/5000][170/535][50206] Loss_D: -0.026803 Loss_G: 0.033892 Loss_D_real: -0.032546 Loss_D_fake -0.005743
[489/5000][175/535][50207] Loss_D: -0.026005 Loss_G: -0.018087 Loss_D_real: 0.003879 Loss_D_fake 0.029884
[489/5000][180/535][50208] Loss_D: -0.025621 Loss_G: 0.018609 Loss_D_real: -0.017434 Loss_D_fake 0.008186
[489/5000][185/535][50209] Loss_D: -0.027112 Loss_G: 0.023588 Loss_D_real: -0.020915 Loss_D_fake 0.006196
[489/5000][190/535][50210] Loss_D: -0.027108 Loss_G: -0.009688 Loss_D_real: 0.001891 Loss_D_fake 0.028999
[489/5000][195/535][50211] Loss_D: -0.027021 Loss_G: 0.014476 Loss_D_real: -0.027548 Loss_D_fake -0.000527
[489/5000][200/535][50212] Loss_D: -0.027042 Loss_G: 0.034296 Loss_D_real: -0.030768 Loss_D_fake -0.003726
[489/5000][205/535][50213] Loss_D: -0.027979 Loss_G: 0.003734 Loss_D_real: -0.011910 Loss_D_fake 0.016069
[489/5000][210/535][50214] Loss_D: -0.027584 Loss_G: 0.043870 Loss_D_real: -0.033289 Loss_D_fake -0.005705
[489/5000][215/535][50215] Loss_D: -0.026708 Loss_G: -0.008463 Loss_D_real: 0.005919 Loss_D_fake 0.032626
[489/5000][220/535][50216] Loss_D: -0.026466 Loss_G: 0.031333 Loss_D_real: -0.025781 Loss_D_fake 0.000685
[489/5000][225/535][50217] Loss_D: -0.027527 Loss_G: 0.015533 Loss_D_real: -0.023599 Loss_D_fake 0.003928
[489/5000][230/535][50218] Loss_D: -0.028649 Loss_G: 0.020593 Loss_D_real: -0.017059 Loss_D_fake 0.011590
[489/5000][235/535][50219] Loss_D: -0.029067 Loss_G: 0.019384 Loss_D_real: -0.025700 Loss_D_fake 0.003366
[489/5000][240/535][50220] Loss_D: -0.027906 Loss_G: 0.021116 Loss_D_real: -0.014650 Loss_D_fake 0.013256
[489/5000][245/535][50221] Loss_D: -0.027129 Loss_G: -0.001588 Loss_D_real: -0.013190 Loss_D_fake 0.013939
[489/5000][250/535][50222] Loss_D: -0.026973 Loss_G: 0.008416 Loss_D_real: -0.030561 Loss_D_fake -0.003588
[489/5000][255/535][50223] Loss_D: -0.026716 Loss_G: 0.004916 Loss_D_real: -0.012824 Loss_D_fake 0.013892
[489/5000][260/535][50224] Loss_D: -0.027025 Loss_G: 0.017633 Loss_D_real: -0.021717 Loss_D_fake 0.005307
[489/5000][265/535][50225] Loss_D: -0.026885 Loss_G: 0.020251 Loss_D_real: -0.018906 Loss_D_fake 0.007978
[489/5000][270/535][50226] Loss_D: -0.027464 Loss_G: 0.018769 Loss_D_real: -0.019157 Loss_D_fake 0.008307
[489/5000][275/535][50227] Loss_D: -0.028328 Loss_G: 0.014400 Loss_D_real: -0.030369 Loss_D_fake -0.002041
[489/5000][280/535][50228] Loss_D: -0.026414 Loss_G: 0.006429 Loss_D_real: -0.010279 Loss_D_fake 0.016135
[489/5000][285/535][50229] Loss_D: -0.026670 Loss_G: 0.004763 Loss_D_real: -0.012243 Loss_D_fake 0.014427
[489/5000][290/535][50230] Loss_D: -0.027287 Loss_G: 0.002048 Loss_D_real: -0.006490 Loss_D_fake 0.020797
[489/5000][295/535][50231] Loss_D: -0.026330 Loss_G: 0.030571 Loss_D_real: -0.029684 Loss_D_fake -0.003354
[489/5000][300/535][50232] Loss_D: -0.026601 Loss_G: 0.006615 Loss_D_real: -0.014960 Loss_D_fake 0.011641
[489/5000][305/535][50233] Loss_D: -0.026680 Loss_G: 0.008771 Loss_D_real: -0.010398 Loss_D_fake 0.016282
[489/5000][310/535][50234] Loss_D: -0.025783 Loss_G: 0.024584 Loss_D_real: -0.028654 Loss_D_fake -0.002871
[489/5000][315/535][50235] Loss_D: -0.028002 Loss_G: 0.000778 Loss_D_real: -0.000570 Loss_D_fake 0.027432
[489/5000][320/535][50236] Loss_D: -0.026946 Loss_G: 0.000067 Loss_D_real: -0.008420 Loss_D_fake 0.018525
[489/5000][325/535][50237] Loss_D: -0.027215 Loss_G: 0.006662 Loss_D_real: -0.009181 Loss_D_fake 0.018034
[489/5000][330/535][50238] Loss_D: -0.024884 Loss_G: 0.031960 Loss_D_real: -0.028997 Loss_D_fake -0.004114
[489/5000][335/535][50239] Loss_D: -0.026661 Loss_G: 0.030922 Loss_D_real: -0.027497 Loss_D_fake -0.000836
[489/5000][340/535][50240] Loss_D: -0.027960 Loss_G: 0.034798 Loss_D_real: -0.021032 Loss_D_fake 0.006928
[489/5000][345/535][50241] Loss_D: -0.027003 Loss_G: 0.021902 Loss_D_real: -0.024695 Loss_D_fake 0.002308
[489/5000][350/535][50242] Loss_D: -0.027162 Loss_G: 0.011476 Loss_D_real: -0.017582 Loss_D_fake 0.009580
[489/5000][355/535][50243] Loss_D: -0.028624 Loss_G: 0.009352 Loss_D_real: -0.018282 Loss_D_fake 0.010343
[489/5000][360/535][50244] Loss_D: -0.026507 Loss_G: -0.001076 Loss_D_real: -0.010798 Loss_D_fake 0.015709
[489/5000][365/535][50245] Loss_D: -0.028768 Loss_G: 0.013138 Loss_D_real: -0.014604 Loss_D_fake 0.014164
[489/5000][370/535][50246] Loss_D: -0.027489 Loss_G: 0.020699 Loss_D_real: -0.008838 Loss_D_fake 0.018651
[489/5000][375/535][50247] Loss_D: -0.028092 Loss_G: -0.003948 Loss_D_real: -0.009041 Loss_D_fake 0.019050
[489/5000][380/535][50248] Loss_D: -0.028845 Loss_G: 0.000070 Loss_D_real: -0.007417 Loss_D_fake 0.021429
[489/5000][385/535][50249] Loss_D: -0.026538 Loss_G: 0.038968 Loss_D_real: -0.034750 Loss_D_fake -0.008212
[489/5000][390/535][50250] Loss_D: -0.028509 Loss_G: 0.009015 Loss_D_real: -0.012995 Loss_D_fake 0.015514
[489/5000][395/535][50251] Loss_D: -0.027579 Loss_G: 0.014371 Loss_D_real: -0.016600 Loss_D_fake 0.010979
[489/5000][400/535][50252] Loss_D: -0.027828 Loss_G: 0.019294 Loss_D_real: -0.025254 Loss_D_fake 0.002573
[489/5000][405/535][50253] Loss_D: -0.025646 Loss_G: -0.028890 Loss_D_real: 0.012649 Loss_D_fake 0.038295
[489/5000][410/535][50254] Loss_D: -0.025831 Loss_G: 0.025079 Loss_D_real: -0.017086 Loss_D_fake 0.008745
[489/5000][415/535][50255] Loss_D: -0.025972 Loss_G: 0.003730 Loss_D_real: -0.011509 Loss_D_fake 0.014463
[489/5000][420/535][50256] Loss_D: -0.025825 Loss_G: 0.035495 Loss_D_real: -0.034995 Loss_D_fake -0.009170
[489/5000][425/535][50257] Loss_D: -0.027053 Loss_G: 0.010249 Loss_D_real: -0.018479 Loss_D_fake 0.008574
[489/5000][430/535][50258] Loss_D: -0.025698 Loss_G: 0.019340 Loss_D_real: -0.028286 Loss_D_fake -0.002588
[489/5000][435/535][50259] Loss_D: -0.027137 Loss_G: 0.000737 Loss_D_real: -0.002857 Loss_D_fake 0.024280
[489/5000][440/535][50260] Loss_D: -0.026107 Loss_G: 0.003015 Loss_D_real: -0.007839 Loss_D_fake 0.018268
[489/5000][445/535][50261] Loss_D: -0.026544 Loss_G: 0.035027 Loss_D_real: -0.033954 Loss_D_fake -0.007410
[489/5000][450/535][50262] Loss_D: -0.025796 Loss_G: 0.017296 Loss_D_real: -0.015685 Loss_D_fake 0.010111
[489/5000][455/535][50263] Loss_D: -0.026765 Loss_G: 0.025013 Loss_D_real: -0.030967 Loss_D_fake -0.004202
[489/5000][460/535][50264] Loss_D: -0.026829 Loss_G: 0.011789 Loss_D_real: -0.016813 Loss_D_fake 0.010016
[489/5000][465/535][50265] Loss_D: -0.026265 Loss_G: 0.020866 Loss_D_real: -0.035330 Loss_D_fake -0.009064
[489/5000][470/535][50266] Loss_D: -0.027883 Loss_G: 0.004485 Loss_D_real: -0.006793 Loss_D_fake 0.021090
[489/5000][475/535][50267] Loss_D: -0.024706 Loss_G: 0.024449 Loss_D_real: -0.026500 Loss_D_fake -0.001794
[489/5000][480/535][50268] Loss_D: -0.026251 Loss_G: 0.018226 Loss_D_real: -0.024355 Loss_D_fake 0.001896
[489/5000][485/535][50269] Loss_D: -0.026297 Loss_G: 0.018576 Loss_D_real: -0.020613 Loss_D_fake 0.005685
[489/5000][490/535][50270] Loss_D: -0.025655 Loss_G: 0.021754 Loss_D_real: -0.028997 Loss_D_fake -0.003342
[489/5000][495/535][50271] Loss_D: -0.025034 Loss_G: 0.037010 Loss_D_real: -0.026320 Loss_D_fake -0.001286
[489/5000][500/535][50272] Loss_D: -0.026851 Loss_G: -0.003267 Loss_D_real: -0.006582 Loss_D_fake 0.020268
[489/5000][505/535][50273] Loss_D: -0.027949 Loss_G: 0.011436 Loss_D_real: -0.020044 Loss_D_fake 0.007905
[489/5000][510/535][50274] Loss_D: -0.027308 Loss_G: 0.028223 Loss_D_real: -0.024345 Loss_D_fake 0.002962
[489/5000][515/535][50275] Loss_D: -0.029003 Loss_G: 0.027897 Loss_D_real: -0.020434 Loss_D_fake 0.008569
[489/5000][520/535][50276] Loss_D: -0.027272 Loss_G: 0.011986 Loss_D_real: -0.016208 Loss_D_fake 0.011064
[489/5000][525/535][50277] Loss_D: -0.027321 Loss_G: 0.011330 Loss_D_real: -0.011114 Loss_D_fake 0.016207
[489/5000][530/535][50278] Loss_D: -0.025618 Loss_G: 0.015599 Loss_D_real: -0.017392 Loss_D_fake 0.008226
[489/5000][535/535][50279] Loss_D: -0.027973 Loss_G: -0.008095 Loss_D_real: -0.015983 Loss_D_fake 0.011990
[490/5000][5/535][50280] Loss_D: -0.026922 Loss_G: 0.006327 Loss_D_real: -0.018595 Loss_D_fake 0.008327
[490/5000][10/535][50281] Loss_D: -0.027544 Loss_G: 0.001978 Loss_D_real: -0.005658 Loss_D_fake 0.021886
[490/5000][15/535][50282] Loss_D: -0.024937 Loss_G: 0.017094 Loss_D_real: -0.013542 Loss_D_fake 0.011395
[490/5000][20/535][50283] Loss_D: -0.026489 Loss_G: 0.019606 Loss_D_real: -0.020502 Loss_D_fake 0.005986
[490/5000][25/535][50284] Loss_D: -0.024754 Loss_G: 0.031399 Loss_D_real: -0.026611 Loss_D_fake -0.001857
[490/5000][30/535][50285] Loss_D: -0.026252 Loss_G: -0.007058 Loss_D_real: -0.001210 Loss_D_fake 0.025042
[490/5000][35/535][50286] Loss_D: -0.026269 Loss_G: 0.037554 Loss_D_real: -0.025837 Loss_D_fake 0.000432
[490/5000][40/535][50287] Loss_D: -0.025635 Loss_G: 0.012942 Loss_D_real: -0.017613 Loss_D_fake 0.008021
[490/5000][45/535][50288] Loss_D: -0.027758 Loss_G: 0.007033 Loss_D_real: -0.008584 Loss_D_fake 0.019174
[490/5000][50/535][50289] Loss_D: -0.027402 Loss_G: 0.025476 Loss_D_real: -0.014100 Loss_D_fake 0.013302
[490/5000][55/535][50290] Loss_D: -0.026632 Loss_G: 0.029459 Loss_D_real: -0.033056 Loss_D_fake -0.006424
[490/5000][60/535][50291] Loss_D: -0.025866 Loss_G: -0.017270 Loss_D_real: 0.005381 Loss_D_fake 0.031247
[490/5000][65/535][50292] Loss_D: -0.025291 Loss_G: 0.022247 Loss_D_real: -0.024987 Loss_D_fake 0.000304
[490/5000][70/535][50293] Loss_D: -0.027324 Loss_G: 0.004922 Loss_D_real: -0.002403 Loss_D_fake 0.024921
[490/5000][75/535][50294] Loss_D: -0.026821 Loss_G: -0.009466 Loss_D_real: -0.004123 Loss_D_fake 0.022698
[490/5000][80/535][50295] Loss_D: -0.025869 Loss_G: 0.030461 Loss_D_real: -0.029626 Loss_D_fake -0.003757
[490/5000][85/535][50296] Loss_D: -0.027138 Loss_G: 0.018836 Loss_D_real: -0.021365 Loss_D_fake 0.005773
[490/5000][90/535][50297] Loss_D: -0.027151 Loss_G: 0.020215 Loss_D_real: -0.028592 Loss_D_fake -0.001440
[490/5000][95/535][50298] Loss_D: -0.026021 Loss_G: 0.031109 Loss_D_real: -0.034716 Loss_D_fake -0.008695
[490/5000][100/535][50299] Loss_D: -0.028210 Loss_G: 0.007267 Loss_D_real: -0.006665 Loss_D_fake 0.021545
[490/5000][105/535][50300] Loss_D: -0.026320 Loss_G: 0.025806 Loss_D_real: -0.028607 Loss_D_fake -0.002287
[490/5000][110/535][50301] Loss_D: -0.025585 Loss_G: 0.030366 Loss_D_real: -0.023890 Loss_D_fake 0.001695
[490/5000][115/535][50302] Loss_D: -0.026546 Loss_G: 0.005466 Loss_D_real: -0.010173 Loss_D_fake 0.016373
[490/5000][120/535][50303] Loss_D: -0.026595 Loss_G: 0.017542 Loss_D_real: -0.018724 Loss_D_fake 0.007871
[490/5000][125/535][50304] Loss_D: -0.028074 Loss_G: 0.006088 Loss_D_real: -0.032871 Loss_D_fake -0.004797
[490/5000][130/535][50305] Loss_D: -0.027963 Loss_G: 0.008194 Loss_D_real: -0.012642 Loss_D_fake 0.015321
[490/5000][135/535][50306] Loss_D: -0.027170 Loss_G: 0.021839 Loss_D_real: -0.026024 Loss_D_fake 0.001147
[490/5000][140/535][50307] Loss_D: -0.027513 Loss_G: 0.007080 Loss_D_real: -0.011340 Loss_D_fake 0.016173
[490/5000][145/535][50308] Loss_D: -0.027225 Loss_G: 0.032404 Loss_D_real: -0.032513 Loss_D_fake -0.005288
[490/5000][150/535][50309] Loss_D: -0.027103 Loss_G: -0.009690 Loss_D_real: -0.010749 Loss_D_fake 0.016354
[490/5000][155/535][50310] Loss_D: -0.025271 Loss_G: 0.006981 Loss_D_real: -0.014656 Loss_D_fake 0.010615
[490/5000][160/535][50311] Loss_D: -0.026048 Loss_G: 0.010401 Loss_D_real: -0.010121 Loss_D_fake 0.015927
[490/5000][165/535][50312] Loss_D: -0.025573 Loss_G: 0.010166 Loss_D_real: -0.018280 Loss_D_fake 0.007293
[490/5000][170/535][50313] Loss_D: -0.025906 Loss_G: 0.016771 Loss_D_real: -0.028038 Loss_D_fake -0.002132
[490/5000][175/535][50314] Loss_D: -0.026638 Loss_G: 0.020924 Loss_D_real: -0.031217 Loss_D_fake -0.004579
[490/5000][180/535][50315] Loss_D: -0.026530 Loss_G: 0.024585 Loss_D_real: -0.022136 Loss_D_fake 0.004395
[490/5000][185/535][50316] Loss_D: -0.027479 Loss_G: -0.005598 Loss_D_real: -0.003413 Loss_D_fake 0.024066
[490/5000][190/535][50317] Loss_D: -0.027129 Loss_G: 0.034300 Loss_D_real: -0.022523 Loss_D_fake 0.004606
[490/5000][195/535][50318] Loss_D: -0.026271 Loss_G: 0.028627 Loss_D_real: -0.026510 Loss_D_fake -0.000240
[490/5000][200/535][50319] Loss_D: -0.027394 Loss_G: 0.017261 Loss_D_real: -0.023830 Loss_D_fake 0.003564
[490/5000][205/535][50320] Loss_D: -0.027121 Loss_G: 0.015101 Loss_D_real: -0.009235 Loss_D_fake 0.017886
[490/5000][210/535][50321] Loss_D: -0.025218 Loss_G: 0.029525 Loss_D_real: -0.023636 Loss_D_fake 0.001582
[490/5000][215/535][50322] Loss_D: -0.025532 Loss_G: 0.020326 Loss_D_real: -0.015510 Loss_D_fake 0.010021
[490/5000][220/535][50323] Loss_D: -0.027679 Loss_G: 0.006699 Loss_D_real: -0.018809 Loss_D_fake 0.008870
[490/5000][225/535][50324] Loss_D: -0.026565 Loss_G: 0.018064 Loss_D_real: -0.007306 Loss_D_fake 0.019258
[490/5000][230/535][50325] Loss_D: -0.025910 Loss_G: 0.029798 Loss_D_real: -0.032189 Loss_D_fake -0.006280
[490/5000][235/535][50326] Loss_D: -0.026982 Loss_G: 0.024388 Loss_D_real: -0.027187 Loss_D_fake -0.000205
[490/5000][240/535][50327] Loss_D: -0.026521 Loss_G: 0.036369 Loss_D_real: -0.027968 Loss_D_fake -0.001447
[490/5000][245/535][50328] Loss_D: -0.027920 Loss_G: 0.020790 Loss_D_real: -0.022037 Loss_D_fake 0.005883
[490/5000][250/535][50329] Loss_D: -0.027658 Loss_G: 0.025166 Loss_D_real: -0.037699 Loss_D_fake -0.010041
[490/5000][255/535][50330] Loss_D: -0.026984 Loss_G: 0.021676 Loss_D_real: -0.023591 Loss_D_fake 0.003394
[490/5000][260/535][50331] Loss_D: -0.026656 Loss_G: 0.013161 Loss_D_real: -0.013978 Loss_D_fake 0.012678
[490/5000][265/535][50332] Loss_D: -0.026582 Loss_G: 0.022742 Loss_D_real: -0.030687 Loss_D_fake -0.004105
[490/5000][270/535][50333] Loss_D: -0.027456 Loss_G: 0.032823 Loss_D_real: -0.027578 Loss_D_fake -0.000122
[490/5000][275/535][50334] Loss_D: -0.024873 Loss_G: 0.037308 Loss_D_real: -0.024166 Loss_D_fake 0.000707
[490/5000][280/535][50335] Loss_D: -0.026920 Loss_G: 0.008496 Loss_D_real: -0.014401 Loss_D_fake 0.012519
[490/5000][285/535][50336] Loss_D: -0.026180 Loss_G: 0.013452 Loss_D_real: -0.022785 Loss_D_fake 0.003395
[490/5000][290/535][50337] Loss_D: -0.026937 Loss_G: 0.020563 Loss_D_real: -0.034340 Loss_D_fake -0.007403
[490/5000][295/535][50338] Loss_D: -0.025983 Loss_G: 0.020211 Loss_D_real: -0.021805 Loss_D_fake 0.004179
[490/5000][300/535][50339] Loss_D: -0.026249 Loss_G: 0.004596 Loss_D_real: 0.005952 Loss_D_fake 0.032201
[490/5000][305/535][50340] Loss_D: -0.026230 Loss_G: 0.023919 Loss_D_real: -0.025985 Loss_D_fake 0.000244
[490/5000][310/535][50341] Loss_D: -0.027333 Loss_G: 0.026518 Loss_D_real: -0.023165 Loss_D_fake 0.004168
[490/5000][315/535][50342] Loss_D: -0.027391 Loss_G: 0.007896 Loss_D_real: -0.020176 Loss_D_fake 0.007215
[490/5000][320/535][50343] Loss_D: -0.027169 Loss_G: -0.006613 Loss_D_real: -0.017899 Loss_D_fake 0.009270
[490/5000][325/535][50344] Loss_D: -0.027958 Loss_G: 0.017812 Loss_D_real: -0.032602 Loss_D_fake -0.004644
[490/5000][330/535][50345] Loss_D: -0.025736 Loss_G: 0.038639 Loss_D_real: -0.030604 Loss_D_fake -0.004869
[490/5000][335/535][50346] Loss_D: -0.027852 Loss_G: 0.016551 Loss_D_real: -0.001289 Loss_D_fake 0.026563
[490/5000][340/535][50347] Loss_D: -0.026519 Loss_G: 0.010583 Loss_D_real: -0.021936 Loss_D_fake 0.004584
[490/5000][345/535][50348] Loss_D: -0.026614 Loss_G: 0.021416 Loss_D_real: -0.018306 Loss_D_fake 0.008308
[490/5000][350/535][50349] Loss_D: -0.025558 Loss_G: 0.005046 Loss_D_real: -0.011249 Loss_D_fake 0.014309
[490/5000][355/535][50350] Loss_D: -0.026207 Loss_G: 0.031243 Loss_D_real: -0.033332 Loss_D_fake -0.007125
[490/5000][360/535][50351] Loss_D: -0.026688 Loss_G: -0.001049 Loss_D_real: -0.011188 Loss_D_fake 0.015500
[490/5000][365/535][50352] Loss_D: -0.026013 Loss_G: 0.024420 Loss_D_real: -0.038229 Loss_D_fake -0.012217
[490/5000][370/535][50353] Loss_D: -0.026708 Loss_G: -0.016108 Loss_D_real: -0.014751 Loss_D_fake 0.011956
[490/5000][375/535][50354] Loss_D: -0.024479 Loss_G: 0.021360 Loss_D_real: -0.018742 Loss_D_fake 0.005737
[490/5000][380/535][50355] Loss_D: -0.026524 Loss_G: 0.008944 Loss_D_real: -0.008732 Loss_D_fake 0.017792
[490/5000][385/535][50356] Loss_D: -0.026294 Loss_G: 0.027231 Loss_D_real: -0.031153 Loss_D_fake -0.004858
[490/5000][390/535][50357] Loss_D: -0.026161 Loss_G: 0.007021 Loss_D_real: -0.015365 Loss_D_fake 0.010796
[490/5000][395/535][50358] Loss_D: -0.026808 Loss_G: 0.007717 Loss_D_real: -0.015771 Loss_D_fake 0.011037
[490/5000][400/535][50359] Loss_D: -0.027708 Loss_G: 0.018910 Loss_D_real: -0.016044 Loss_D_fake 0.011664
[490/5000][405/535][50360] Loss_D: -0.027508 Loss_G: -0.010577 Loss_D_real: -0.007429 Loss_D_fake 0.020079
[490/5000][410/535][50361] Loss_D: -0.028693 Loss_G: 0.006463 Loss_D_real: -0.010292 Loss_D_fake 0.018401
[490/5000][415/535][50362] Loss_D: -0.027318 Loss_G: 0.020453 Loss_D_real: -0.017193 Loss_D_fake 0.010125
[490/5000][420/535][50363] Loss_D: -0.024343 Loss_G: -0.025382 Loss_D_real: 0.006203 Loss_D_fake 0.030546
[490/5000][425/535][50364] Loss_D: -0.024368 Loss_G: 0.025258 Loss_D_real: -0.032217 Loss_D_fake -0.007848
[490/5000][430/535][50365] Loss_D: -0.026054 Loss_G: 0.012193 Loss_D_real: -0.019774 Loss_D_fake 0.006280
[490/5000][435/535][50366] Loss_D: -0.026075 Loss_G: 0.018113 Loss_D_real: -0.017830 Loss_D_fake 0.008246
[490/5000][440/535][50367] Loss_D: -0.027432 Loss_G: 0.001467 Loss_D_real: -0.001838 Loss_D_fake 0.025594
[490/5000][445/535][50368] Loss_D: -0.026688 Loss_G: 0.023756 Loss_D_real: -0.012238 Loss_D_fake 0.014450
[490/5000][450/535][50369] Loss_D: -0.028049 Loss_G: 0.011392 Loss_D_real: -0.016758 Loss_D_fake 0.011291
[490/5000][455/535][50370] Loss_D: -0.025857 Loss_G: -0.007156 Loss_D_real: 0.006431 Loss_D_fake 0.032288
[490/5000][460/535][50371] Loss_D: -0.027517 Loss_G: 0.003072 Loss_D_real: -0.002825 Loss_D_fake 0.024692
[490/5000][465/535][50372] Loss_D: -0.027224 Loss_G: 0.019945 Loss_D_real: -0.015328 Loss_D_fake 0.011895
[490/5000][470/535][50373] Loss_D: -0.027020 Loss_G: 0.034661 Loss_D_real: -0.025740 Loss_D_fake 0.001280
[490/5000][475/535][50374] Loss_D: -0.028353 Loss_G: -0.001996 Loss_D_real: -0.017731 Loss_D_fake 0.010622
[490/5000][480/535][50375] Loss_D: -0.027956 Loss_G: 0.006999 Loss_D_real: -0.022012 Loss_D_fake 0.005944
[490/5000][485/535][50376] Loss_D: -0.026599 Loss_G: 0.005393 Loss_D_real: -0.008391 Loss_D_fake 0.018208
[490/5000][490/535][50377] Loss_D: -0.027553 Loss_G: 0.023526 Loss_D_real: -0.020979 Loss_D_fake 0.006574
[490/5000][495/535][50378] Loss_D: -0.027205 Loss_G: 0.027988 Loss_D_real: -0.027088 Loss_D_fake 0.000116
[490/5000][500/535][50379] Loss_D: -0.027592 Loss_G: 0.008558 Loss_D_real: -0.023511 Loss_D_fake 0.004081
[490/5000][505/535][50380] Loss_D: -0.024846 Loss_G: -0.006599 Loss_D_real: -0.000668 Loss_D_fake 0.024177
[490/5000][510/535][50381] Loss_D: -0.027219 Loss_G: 0.011565 Loss_D_real: -0.024928 Loss_D_fake 0.002291
[490/5000][515/535][50382] Loss_D: -0.027264 Loss_G: 0.014914 Loss_D_real: -0.015816 Loss_D_fake 0.011447
[490/5000][520/535][50383] Loss_D: -0.027649 Loss_G: 0.004141 Loss_D_real: 0.000346 Loss_D_fake 0.027995
[490/5000][525/535][50384] Loss_D: -0.026757 Loss_G: 0.026043 Loss_D_real: -0.026022 Loss_D_fake 0.000734
[490/5000][530/535][50385] Loss_D: -0.027078 Loss_G: 0.000940 Loss_D_real: -0.015952 Loss_D_fake 0.011126
[490/5000][535/535][50386] Loss_D: -0.027771 Loss_G: 0.018353 Loss_D_real: -0.016553 Loss_D_fake 0.011218
[491/5000][5/535][50387] Loss_D: -0.028642 Loss_G: -0.004669 Loss_D_real: -0.012137 Loss_D_fake 0.016505
[491/5000][10/535][50388] Loss_D: -0.027065 Loss_G: 0.018683 Loss_D_real: -0.028155 Loss_D_fake -0.001091
[491/5000][15/535][50389] Loss_D: -0.026821 Loss_G: 0.019419 Loss_D_real: -0.025602 Loss_D_fake 0.001218
[491/5000][20/535][50390] Loss_D: -0.028620 Loss_G: 0.008150 Loss_D_real: -0.008778 Loss_D_fake 0.019842
[491/5000][25/535][50391] Loss_D: -0.027682 Loss_G: -0.009033 Loss_D_real: 0.000953 Loss_D_fake 0.028635
[491/5000][30/535][50392] Loss_D: -0.025870 Loss_G: 0.024477 Loss_D_real: -0.036044 Loss_D_fake -0.010175
[491/5000][35/535][50393] Loss_D: -0.028373 Loss_G: 0.008218 Loss_D_real: -0.014625 Loss_D_fake 0.013748
[491/5000][40/535][50394] Loss_D: -0.028352 Loss_G: 0.025998 Loss_D_real: -0.023223 Loss_D_fake 0.005129
[491/5000][45/535][50395] Loss_D: -0.026781 Loss_G: 0.003650 Loss_D_real: -0.005029 Loss_D_fake 0.021753
[491/5000][50/535][50396] Loss_D: -0.027414 Loss_G: 0.024288 Loss_D_real: -0.018942 Loss_D_fake 0.008471
[491/5000][55/535][50397] Loss_D: -0.026027 Loss_G: 0.017484 Loss_D_real: -0.016561 Loss_D_fake 0.009466
[491/5000][60/535][50398] Loss_D: -0.027448 Loss_G: 0.005627 Loss_D_real: -0.005976 Loss_D_fake 0.021472
[491/5000][65/535][50399] Loss_D: -0.027670 Loss_G: 0.032795 Loss_D_real: -0.025836 Loss_D_fake 0.001834
[491/5000][70/535][50400] Loss_D: -0.025669 Loss_G: 0.009328 Loss_D_real: -0.024380 Loss_D_fake 0.001288
[491/5000][75/535][50401] Loss_D: -0.025993 Loss_G: 0.010673 Loss_D_real: -0.012475 Loss_D_fake 0.013519
[491/5000][80/535][50402] Loss_D: -0.026192 Loss_G: 0.030036 Loss_D_real: -0.029466 Loss_D_fake -0.003274
[491/5000][85/535][50403] Loss_D: -0.026748 Loss_G: 0.008954 Loss_D_real: -0.017262 Loss_D_fake 0.009487
[491/5000][90/535][50404] Loss_D: -0.025863 Loss_G: -0.003235 Loss_D_real: 0.001233 Loss_D_fake 0.027096
[491/5000][95/535][50405] Loss_D: -0.025108 Loss_G: 0.004765 Loss_D_real: -0.018532 Loss_D_fake 0.006576
[491/5000][100/535][50406] Loss_D: -0.026558 Loss_G: 0.003402 Loss_D_real: -0.013547 Loss_D_fake 0.013012
[491/5000][105/535][50407] Loss_D: -0.025776 Loss_G: 0.016149 Loss_D_real: -0.016672 Loss_D_fake 0.009104
[491/5000][110/535][50408] Loss_D: -0.027629 Loss_G: 0.003183 Loss_D_real: -0.015847 Loss_D_fake 0.011781
[491/5000][115/535][50409] Loss_D: -0.025548 Loss_G: -0.014086 Loss_D_real: 0.002900 Loss_D_fake 0.028447
[491/5000][120/535][50410] Loss_D: -0.027029 Loss_G: 0.016342 Loss_D_real: -0.014388 Loss_D_fake 0.012640
[491/5000][125/535][50411] Loss_D: -0.027986 Loss_G: 0.003522 Loss_D_real: -0.005620 Loss_D_fake 0.022366
[491/5000][130/535][50412] Loss_D: -0.026702 Loss_G: 0.005230 Loss_D_real: -0.013632 Loss_D_fake 0.013070
[491/5000][135/535][50413] Loss_D: -0.026253 Loss_G: 0.003620 Loss_D_real: -0.014594 Loss_D_fake 0.011659
[491/5000][140/535][50414] Loss_D: -0.028237 Loss_G: 0.025719 Loss_D_real: -0.012721 Loss_D_fake 0.015516
[491/5000][145/535][50415] Loss_D: -0.026402 Loss_G: 0.014779 Loss_D_real: -0.024857 Loss_D_fake 0.001545
[491/5000][150/535][50416] Loss_D: -0.025554 Loss_G: -0.014545 Loss_D_real: 0.004558 Loss_D_fake 0.030113
[491/5000][155/535][50417] Loss_D: -0.026719 Loss_G: 0.016109 Loss_D_real: -0.020318 Loss_D_fake 0.006401
[491/5000][160/535][50418] Loss_D: -0.026590 Loss_G: 0.001039 Loss_D_real: -0.006649 Loss_D_fake 0.019941
[491/5000][165/535][50419] Loss_D: -0.027377 Loss_G: 0.018221 Loss_D_real: -0.016508 Loss_D_fake 0.010869
[491/5000][170/535][50420] Loss_D: -0.027040 Loss_G: 0.009976 Loss_D_real: -0.005254 Loss_D_fake 0.021787
[491/5000][175/535][50421] Loss_D: -0.026820 Loss_G: 0.027956 Loss_D_real: -0.031820 Loss_D_fake -0.004999
[491/5000][180/535][50422] Loss_D: -0.025819 Loss_G: 0.022288 Loss_D_real: -0.016150 Loss_D_fake 0.009669
[491/5000][185/535][50423] Loss_D: -0.027007 Loss_G: -0.004120 Loss_D_real: -0.009399 Loss_D_fake 0.017608
[491/5000][190/535][50424] Loss_D: -0.024475 Loss_G: 0.042802 Loss_D_real: -0.033119 Loss_D_fake -0.008644
[491/5000][195/535][50425] Loss_D: -0.025605 Loss_G: -0.013868 Loss_D_real: 0.006157 Loss_D_fake 0.031762
[491/5000][200/535][50426] Loss_D: -0.023713 Loss_G: 0.004700 Loss_D_real: -0.011826 Loss_D_fake 0.011886
[491/5000][205/535][50427] Loss_D: -0.026604 Loss_G: 0.005345 Loss_D_real: -0.008784 Loss_D_fake 0.017821
[491/5000][210/535][50428] Loss_D: -0.025947 Loss_G: 0.010700 Loss_D_real: -0.017608 Loss_D_fake 0.008339
[491/5000][215/535][50429] Loss_D: -0.027780 Loss_G: 0.015879 Loss_D_real: -0.013696 Loss_D_fake 0.014084
[491/5000][220/535][50430] Loss_D: -0.027357 Loss_G: 0.019064 Loss_D_real: -0.014116 Loss_D_fake 0.013240
[491/5000][225/535][50431] Loss_D: -0.026398 Loss_G: 0.006780 Loss_D_real: -0.017935 Loss_D_fake 0.008462
[491/5000][230/535][50432] Loss_D: -0.026040 Loss_G: 0.029292 Loss_D_real: -0.019293 Loss_D_fake 0.006747
[491/5000][235/535][50433] Loss_D: -0.026012 Loss_G: -0.000750 Loss_D_real: -0.003917 Loss_D_fake 0.022095
[491/5000][240/535][50434] Loss_D: -0.025496 Loss_G: -0.005712 Loss_D_real: -0.007490 Loss_D_fake 0.018006
[491/5000][245/535][50435] Loss_D: -0.026057 Loss_G: 0.000762 Loss_D_real: -0.025261 Loss_D_fake 0.000795
[491/5000][250/535][50436] Loss_D: -0.026208 Loss_G: 0.028163 Loss_D_real: -0.027396 Loss_D_fake -0.001188
[491/5000][255/535][50437] Loss_D: -0.027270 Loss_G: 0.026618 Loss_D_real: -0.036038 Loss_D_fake -0.008767
[491/5000][260/535][50438] Loss_D: -0.027413 Loss_G: 0.033436 Loss_D_real: -0.025001 Loss_D_fake 0.002412
[491/5000][265/535][50439] Loss_D: -0.026684 Loss_G: 0.023468 Loss_D_real: -0.032917 Loss_D_fake -0.006233
[491/5000][270/535][50440] Loss_D: -0.027549 Loss_G: 0.007230 Loss_D_real: -0.017711 Loss_D_fake 0.009837
[491/5000][275/535][50441] Loss_D: -0.026940 Loss_G: 0.019035 Loss_D_real: -0.018916 Loss_D_fake 0.008024
[491/5000][280/535][50442] Loss_D: -0.027075 Loss_G: 0.034667 Loss_D_real: -0.034856 Loss_D_fake -0.007780
[491/5000][285/535][50443] Loss_D: -0.027576 Loss_G: 0.001194 Loss_D_real: -0.001505 Loss_D_fake 0.026071
[491/5000][290/535][50444] Loss_D: -0.027120 Loss_G: 0.023302 Loss_D_real: -0.025406 Loss_D_fake 0.001715
[491/5000][295/535][50445] Loss_D: -0.027780 Loss_G: 0.004306 Loss_D_real: -0.005840 Loss_D_fake 0.021940
[491/5000][300/535][50446] Loss_D: -0.024289 Loss_G: -0.005478 Loss_D_real: 0.005498 Loss_D_fake 0.029787
[491/5000][305/535][50447] Loss_D: -0.025460 Loss_G: 0.028077 Loss_D_real: -0.029085 Loss_D_fake -0.003625
[491/5000][310/535][50448] Loss_D: -0.026989 Loss_G: 0.001591 Loss_D_real: -0.011392 Loss_D_fake 0.015597
[491/5000][315/535][50449] Loss_D: -0.026410 Loss_G: 0.001485 Loss_D_real: -0.009478 Loss_D_fake 0.016932
[491/5000][320/535][50450] Loss_D: -0.026393 Loss_G: 0.009692 Loss_D_real: -0.014508 Loss_D_fake 0.011886
[491/5000][325/535][50451] Loss_D: -0.026379 Loss_G: 0.027111 Loss_D_real: -0.017326 Loss_D_fake 0.009053
[491/5000][330/535][50452] Loss_D: -0.028225 Loss_G: 0.012746 Loss_D_real: -0.016601 Loss_D_fake 0.011624
[491/5000][335/535][50453] Loss_D: -0.026932 Loss_G: 0.009820 Loss_D_real: -0.020725 Loss_D_fake 0.006207
[491/5000][340/535][50454] Loss_D: -0.026129 Loss_G: -0.001157 Loss_D_real: -0.011883 Loss_D_fake 0.014246
[491/5000][345/535][50455] Loss_D: -0.027342 Loss_G: -0.005244 Loss_D_real: -0.000316 Loss_D_fake 0.027026
[491/5000][350/535][50456] Loss_D: -0.027990 Loss_G: 0.008957 Loss_D_real: -0.003287 Loss_D_fake 0.024703
[491/5000][355/535][50457] Loss_D: -0.027008 Loss_G: -0.004417 Loss_D_real: 0.005013 Loss_D_fake 0.032021
[491/5000][360/535][50458] Loss_D: -0.026986 Loss_G: 0.019119 Loss_D_real: -0.019147 Loss_D_fake 0.007839
[491/5000][365/535][50459] Loss_D: -0.027669 Loss_G: 0.021819 Loss_D_real: -0.024437 Loss_D_fake 0.003232
[491/5000][370/535][50460] Loss_D: -0.026430 Loss_G: 0.003776 Loss_D_real: -0.013623 Loss_D_fake 0.012807
[491/5000][375/535][50461] Loss_D: -0.023553 Loss_G: 0.036082 Loss_D_real: -0.036854 Loss_D_fake -0.013301
[491/5000][380/535][50462] Loss_D: -0.025785 Loss_G: 0.012316 Loss_D_real: -0.014402 Loss_D_fake 0.011383
[491/5000][385/535][50463] Loss_D: -0.028133 Loss_G: 0.002096 Loss_D_real: -0.010245 Loss_D_fake 0.017888
[491/5000][390/535][50464] Loss_D: -0.026597 Loss_G: 0.004326 Loss_D_real: -0.006761 Loss_D_fake 0.019836
[491/5000][395/535][50465] Loss_D: -0.026877 Loss_G: 0.018450 Loss_D_real: -0.020350 Loss_D_fake 0.006527
[491/5000][400/535][50466] Loss_D: -0.026079 Loss_G: 0.009053 Loss_D_real: -0.003145 Loss_D_fake 0.022934
[491/5000][405/535][50467] Loss_D: -0.026421 Loss_G: 0.023742 Loss_D_real: -0.013975 Loss_D_fake 0.012446
[491/5000][410/535][50468] Loss_D: -0.025030 Loss_G: -0.002782 Loss_D_real: -0.001013 Loss_D_fake 0.024017
[491/5000][415/535][50469] Loss_D: -0.028047 Loss_G: 0.023860 Loss_D_real: -0.030169 Loss_D_fake -0.002123
[491/5000][420/535][50470] Loss_D: -0.026335 Loss_G: -0.002975 Loss_D_real: -0.004457 Loss_D_fake 0.021877
[491/5000][425/535][50471] Loss_D: -0.025724 Loss_G: 0.009649 Loss_D_real: 0.001765 Loss_D_fake 0.027489
[491/5000][430/535][50472] Loss_D: -0.025838 Loss_G: 0.013578 Loss_D_real: -0.024386 Loss_D_fake 0.001452
[491/5000][435/535][50473] Loss_D: -0.026619 Loss_G: 0.024552 Loss_D_real: -0.025858 Loss_D_fake 0.000761
[491/5000][440/535][50474] Loss_D: -0.027128 Loss_G: 0.000422 Loss_D_real: -0.005752 Loss_D_fake 0.021375
[491/5000][445/535][50475] Loss_D: -0.026384 Loss_G: 0.027843 Loss_D_real: -0.031875 Loss_D_fake -0.005492
[491/5000][450/535][50476] Loss_D: -0.024856 Loss_G: -0.016098 Loss_D_real: -0.000535 Loss_D_fake 0.024321
[491/5000][455/535][50477] Loss_D: -0.026539 Loss_G: 0.018348 Loss_D_real: -0.026786 Loss_D_fake -0.000247
[491/5000][460/535][50478] Loss_D: -0.026098 Loss_G: 0.006983 Loss_D_real: 0.000584 Loss_D_fake 0.026682
[491/5000][465/535][50479] Loss_D: -0.027171 Loss_G: 0.012933 Loss_D_real: -0.021121 Loss_D_fake 0.006050
[491/5000][470/535][50480] Loss_D: -0.026321 Loss_G: 0.025772 Loss_D_real: -0.031021 Loss_D_fake -0.004700
[491/5000][475/535][50481] Loss_D: -0.026516 Loss_G: 0.014783 Loss_D_real: -0.013758 Loss_D_fake 0.012759
[491/5000][480/535][50482] Loss_D: -0.027763 Loss_G: 0.006468 Loss_D_real: -0.016614 Loss_D_fake 0.011149
[491/5000][485/535][50483] Loss_D: -0.027423 Loss_G: 0.016095 Loss_D_real: -0.002265 Loss_D_fake 0.025158
[491/5000][490/535][50484] Loss_D: -0.026840 Loss_G: -0.002368 Loss_D_real: -0.005336 Loss_D_fake 0.021504
[491/5000][495/535][50485] Loss_D: -0.025778 Loss_G: 0.031634 Loss_D_real: -0.031168 Loss_D_fake -0.005391
[491/5000][500/535][50486] Loss_D: -0.026801 Loss_G: 0.016455 Loss_D_real: -0.017989 Loss_D_fake 0.008812
[491/5000][505/535][50487] Loss_D: -0.026850 Loss_G: 0.042125 Loss_D_real: -0.034202 Loss_D_fake -0.007352
[491/5000][510/535][50488] Loss_D: -0.027487 Loss_G: 0.004277 Loss_D_real: -0.017942 Loss_D_fake 0.009544
[491/5000][515/535][50489] Loss_D: -0.026645 Loss_G: 0.006757 Loss_D_real: -0.014265 Loss_D_fake 0.012380
[491/5000][520/535][50490] Loss_D: -0.025194 Loss_G: 0.018440 Loss_D_real: -0.016383 Loss_D_fake 0.008810
[491/5000][525/535][50491] Loss_D: -0.026124 Loss_G: 0.002295 Loss_D_real: -0.006765 Loss_D_fake 0.019359
[491/5000][530/535][50492] Loss_D: -0.026580 Loss_G: 0.018884 Loss_D_real: -0.016406 Loss_D_fake 0.010174
[491/5000][535/535][50493] Loss_D: -0.027542 Loss_G: 0.049807 Loss_D_real: -0.033310 Loss_D_fake -0.005768
[492/5000][5/535][50494] Loss_D: -0.026857 Loss_G: -0.008654 Loss_D_real: 0.000943 Loss_D_fake 0.027800
[492/5000][10/535][50495] Loss_D: -0.025993 Loss_G: -0.002406 Loss_D_real: -0.013306 Loss_D_fake 0.012687
[492/5000][15/535][50496] Loss_D: -0.025318 Loss_G: 0.032927 Loss_D_real: -0.021708 Loss_D_fake 0.003610
[492/5000][20/535][50497] Loss_D: -0.027372 Loss_G: -0.003420 Loss_D_real: -0.005319 Loss_D_fake 0.022053
[492/5000][25/535][50498] Loss_D: -0.027187 Loss_G: 0.004244 Loss_D_real: -0.007726 Loss_D_fake 0.019461
[492/5000][30/535][50499] Loss_D: -0.026251 Loss_G: 0.028629 Loss_D_real: -0.030796 Loss_D_fake -0.004546
[492/5000][35/535][50500] Loss_D: -0.028228 Loss_G: 0.001987 Loss_D_real: -0.008155 Loss_D_fake 0.020073
[492/5000][135/535][50501] Loss_D: -0.028539 Loss_G: -0.006337 Loss_D_real: -0.003098 Loss_D_fake 0.025442
[492/5000][140/535][50502] Loss_D: -0.029057 Loss_G: 0.004680 Loss_D_real: -0.025855 Loss_D_fake 0.003201
[492/5000][145/535][50503] Loss_D: -0.024927 Loss_G: 0.018438 Loss_D_real: -0.016399 Loss_D_fake 0.008528
[492/5000][150/535][50504] Loss_D: -0.024206 Loss_G: 0.022193 Loss_D_real: -0.023369 Loss_D_fake 0.000838
[492/5000][155/535][50505] Loss_D: -0.024359 Loss_G: 0.014253 Loss_D_real: -0.012121 Loss_D_fake 0.012238
[492/5000][160/535][50506] Loss_D: -0.025115 Loss_G: 0.010603 Loss_D_real: -0.011140 Loss_D_fake 0.013975
[492/5000][165/535][50507] Loss_D: -0.025541 Loss_G: 0.007901 Loss_D_real: -0.000672 Loss_D_fake 0.024869
[492/5000][170/535][50508] Loss_D: -0.026801 Loss_G: 0.026537 Loss_D_real: -0.018724 Loss_D_fake 0.008076
[492/5000][175/535][50509] Loss_D: -0.027137 Loss_G: 0.006167 Loss_D_real: -0.005023 Loss_D_fake 0.022115
[492/5000][180/535][50510] Loss_D: -0.026734 Loss_G: 0.022171 Loss_D_real: -0.014659 Loss_D_fake 0.012075
[492/5000][185/535][50511] Loss_D: -0.027468 Loss_G: 0.005108 Loss_D_real: -0.003472 Loss_D_fake 0.023996
[492/5000][190/535][50512] Loss_D: -0.027272 Loss_G: 0.001054 Loss_D_real: -0.010326 Loss_D_fake 0.016946
[492/5000][195/535][50513] Loss_D: -0.026671 Loss_G: 0.014504 Loss_D_real: -0.019975 Loss_D_fake 0.006696
[492/5000][200/535][50514] Loss_D: -0.027387 Loss_G: 0.018794 Loss_D_real: -0.026416 Loss_D_fake 0.000970
[492/5000][205/535][50515] Loss_D: -0.027783 Loss_G: -0.010610 Loss_D_real: -0.002661 Loss_D_fake 0.025122
[492/5000][210/535][50516] Loss_D: -0.025297 Loss_G: 0.021898 Loss_D_real: -0.023895 Loss_D_fake 0.001402
[492/5000][215/535][50517] Loss_D: -0.027829 Loss_G: 0.009224 Loss_D_real: -0.014814 Loss_D_fake 0.013015
[492/5000][220/535][50518] Loss_D: -0.027424 Loss_G: 0.028300 Loss_D_real: -0.022924 Loss_D_fake 0.004501
[492/5000][225/535][50519] Loss_D: -0.025650 Loss_G: 0.038448 Loss_D_real: -0.027461 Loss_D_fake -0.001811
[492/5000][230/535][50520] Loss_D: -0.027970 Loss_G: 0.002240 Loss_D_real: -0.006177 Loss_D_fake 0.021792
[492/5000][235/535][50521] Loss_D: -0.026810 Loss_G: 0.004735 Loss_D_real: -0.007999 Loss_D_fake 0.018811
[492/5000][240/535][50522] Loss_D: -0.026384 Loss_G: 0.024182 Loss_D_real: -0.025207 Loss_D_fake 0.001177
[492/5000][245/535][50523] Loss_D: -0.026724 Loss_G: 0.022770 Loss_D_real: -0.017659 Loss_D_fake 0.009065
[492/5000][250/535][50524] Loss_D: -0.028072 Loss_G: 0.028157 Loss_D_real: -0.025177 Loss_D_fake 0.002896
[492/5000][255/535][50525] Loss_D: -0.027748 Loss_G: 0.013668 Loss_D_real: -0.009376 Loss_D_fake 0.018372
[492/5000][260/535][50526] Loss_D: -0.026343 Loss_G: 0.011439 Loss_D_real: -0.006584 Loss_D_fake 0.019759
[492/5000][265/535][50527] Loss_D: -0.026084 Loss_G: -0.004912 Loss_D_real: 0.000311 Loss_D_fake 0.026396
[492/5000][270/535][50528] Loss_D: -0.026897 Loss_G: 0.016367 Loss_D_real: -0.021238 Loss_D_fake 0.005660
[492/5000][275/535][50529] Loss_D: -0.026525 Loss_G: 0.016613 Loss_D_real: -0.022867 Loss_D_fake 0.003659
[492/5000][280/535][50530] Loss_D: -0.027546 Loss_G: -0.002325 Loss_D_real: -0.006734 Loss_D_fake 0.020812
[492/5000][285/535][50531] Loss_D: -0.025448 Loss_G: 0.041980 Loss_D_real: -0.027593 Loss_D_fake -0.002145
[492/5000][290/535][50532] Loss_D: -0.025913 Loss_G: -0.002999 Loss_D_real: -0.010664 Loss_D_fake 0.015249
[492/5000][295/535][50533] Loss_D: -0.027034 Loss_G: 0.027195 Loss_D_real: -0.027029 Loss_D_fake 0.000005
[492/5000][300/535][50534] Loss_D: -0.026651 Loss_G: 0.022704 Loss_D_real: -0.021553 Loss_D_fake 0.005097
[492/5000][305/535][50535] Loss_D: -0.027485 Loss_G: 0.013364 Loss_D_real: -0.009618 Loss_D_fake 0.017867
[492/5000][310/535][50536] Loss_D: -0.025965 Loss_G: 0.009563 Loss_D_real: -0.016046 Loss_D_fake 0.009919
[492/5000][315/535][50537] Loss_D: -0.025878 Loss_G: 0.018843 Loss_D_real: -0.033474 Loss_D_fake -0.007596
[492/5000][320/535][50538] Loss_D: -0.026667 Loss_G: 0.018068 Loss_D_real: -0.022867 Loss_D_fake 0.003800
[492/5000][325/535][50539] Loss_D: -0.026978 Loss_G: 0.002657 Loss_D_real: -0.001586 Loss_D_fake 0.025393
[492/5000][330/535][50540] Loss_D: -0.026619 Loss_G: 0.021493 Loss_D_real: -0.013519 Loss_D_fake 0.013100
[492/5000][335/535][50541] Loss_D: -0.024056 Loss_G: 0.030444 Loss_D_real: -0.034708 Loss_D_fake -0.010651
[492/5000][340/535][50542] Loss_D: -0.027645 Loss_G: 0.012952 Loss_D_real: -0.016582 Loss_D_fake 0.011063
[492/5000][345/535][50543] Loss_D: -0.027396 Loss_G: 0.014580 Loss_D_real: -0.014221 Loss_D_fake 0.013175
[492/5000][350/535][50544] Loss_D: -0.026262 Loss_G: 0.010620 Loss_D_real: -0.023847 Loss_D_fake 0.002415
[492/5000][355/535][50545] Loss_D: -0.027749 Loss_G: -0.004137 Loss_D_real: -0.011685 Loss_D_fake 0.016064
[492/5000][360/535][50546] Loss_D: -0.025405 Loss_G: 0.022964 Loss_D_real: -0.025066 Loss_D_fake 0.000339
[492/5000][365/535][50547] Loss_D: -0.026836 Loss_G: 0.015307 Loss_D_real: -0.014423 Loss_D_fake 0.012413
[492/5000][370/535][50548] Loss_D: -0.026469 Loss_G: 0.018696 Loss_D_real: -0.022325 Loss_D_fake 0.004143
[492/5000][375/535][50549] Loss_D: -0.026034 Loss_G: 0.012823 Loss_D_real: -0.024509 Loss_D_fake 0.001525
[492/5000][380/535][50550] Loss_D: -0.027984 Loss_G: 0.006486 Loss_D_real: -0.014628 Loss_D_fake 0.013356
[492/5000][385/535][50551] Loss_D: -0.026396 Loss_G: 0.032502 Loss_D_real: -0.020390 Loss_D_fake 0.006006
[492/5000][390/535][50552] Loss_D: -0.026507 Loss_G: 0.003987 Loss_D_real: -0.013507 Loss_D_fake 0.013000
[492/5000][395/535][50553] Loss_D: -0.027577 Loss_G: 0.012001 Loss_D_real: -0.015417 Loss_D_fake 0.012159
[492/5000][400/535][50554] Loss_D: -0.026502 Loss_G: 0.027203 Loss_D_real: -0.032463 Loss_D_fake -0.005961
[492/5000][405/535][50555] Loss_D: -0.027873 Loss_G: 0.003279 Loss_D_real: -0.011175 Loss_D_fake 0.016698
[492/5000][410/535][50556] Loss_D: -0.027176 Loss_G: 0.024478 Loss_D_real: -0.024784 Loss_D_fake 0.002391
[492/5000][415/535][50557] Loss_D: -0.026346 Loss_G: 0.026530 Loss_D_real: -0.021399 Loss_D_fake 0.004947
[492/5000][420/535][50558] Loss_D: -0.026927 Loss_G: 0.006992 Loss_D_real: -0.019391 Loss_D_fake 0.007536
[492/5000][425/535][50559] Loss_D: -0.025423 Loss_G: 0.025212 Loss_D_real: -0.033577 Loss_D_fake -0.008154
[492/5000][430/535][50560] Loss_D: -0.026623 Loss_G: 0.024953 Loss_D_real: -0.018283 Loss_D_fake 0.008340
[492/5000][435/535][50561] Loss_D: -0.027671 Loss_G: 0.019303 Loss_D_real: -0.020379 Loss_D_fake 0.007292
[492/5000][440/535][50562] Loss_D: -0.027982 Loss_G: 0.005000 Loss_D_real: -0.012992 Loss_D_fake 0.014990
[492/5000][445/535][50563] Loss_D: -0.026743 Loss_G: 0.020152 Loss_D_real: -0.033031 Loss_D_fake -0.006288
[492/5000][450/535][50564] Loss_D: -0.027530 Loss_G: 0.006308 Loss_D_real: -0.016553 Loss_D_fake 0.010977
[492/5000][455/535][50565] Loss_D: -0.026862 Loss_G: -0.004501 Loss_D_real: -0.001307 Loss_D_fake 0.025555
[492/5000][460/535][50566] Loss_D: -0.025742 Loss_G: 0.022351 Loss_D_real: -0.015220 Loss_D_fake 0.010522
[492/5000][465/535][50567] Loss_D: -0.026337 Loss_G: 0.019484 Loss_D_real: -0.023044 Loss_D_fake 0.003292
[492/5000][470/535][50568] Loss_D: -0.027199 Loss_G: 0.032413 Loss_D_real: -0.028432 Loss_D_fake -0.001233
[492/5000][475/535][50569] Loss_D: -0.026771 Loss_G: 0.006496 Loss_D_real: -0.012153 Loss_D_fake 0.014618
[492/5000][480/535][50570] Loss_D: -0.027136 Loss_G: 0.025674 Loss_D_real: -0.032722 Loss_D_fake -0.005586
[492/5000][485/535][50571] Loss_D: -0.026281 Loss_G: -0.007261 Loss_D_real: 0.002633 Loss_D_fake 0.028914
[492/5000][490/535][50572] Loss_D: -0.025566 Loss_G: 0.024155 Loss_D_real: -0.019572 Loss_D_fake 0.005995
[492/5000][495/535][50573] Loss_D: -0.026000 Loss_G: 0.012826 Loss_D_real: -0.022814 Loss_D_fake 0.003186
[492/5000][500/535][50574] Loss_D: -0.026693 Loss_G: 0.014618 Loss_D_real: -0.014172 Loss_D_fake 0.012521
[492/5000][505/535][50575] Loss_D: -0.025910 Loss_G: 0.025273 Loss_D_real: -0.033694 Loss_D_fake -0.007784
[492/5000][510/535][50576] Loss_D: -0.027456 Loss_G: -0.014366 Loss_D_real: -0.003314 Loss_D_fake 0.024142
[492/5000][515/535][50577] Loss_D: -0.025378 Loss_G: 0.023221 Loss_D_real: -0.022914 Loss_D_fake 0.002463
[492/5000][520/535][50578] Loss_D: -0.024903 Loss_G: -0.012815 Loss_D_real: -0.004031 Loss_D_fake 0.020872
[492/5000][525/535][50579] Loss_D: -0.025906 Loss_G: 0.022179 Loss_D_real: -0.028809 Loss_D_fake -0.002903
[492/5000][530/535][50580] Loss_D: -0.026594 Loss_G: 0.007251 Loss_D_real: -0.021233 Loss_D_fake 0.005361
[492/5000][535/535][50581] Loss_D: -0.024869 Loss_G: 0.013390 Loss_D_real: -0.031494 Loss_D_fake -0.006625
[493/5000][5/535][50582] Loss_D: -0.025397 Loss_G: 0.041618 Loss_D_real: -0.033639 Loss_D_fake -0.008241
[493/5000][10/535][50583] Loss_D: -0.026829 Loss_G: 0.006795 Loss_D_real: -0.010427 Loss_D_fake 0.016402
[493/5000][15/535][50584] Loss_D: -0.026842 Loss_G: 0.028915 Loss_D_real: -0.028649 Loss_D_fake -0.001807
[493/5000][20/535][50585] Loss_D: -0.027725 Loss_G: 0.019987 Loss_D_real: -0.020790 Loss_D_fake 0.006935
[493/5000][25/535][50586] Loss_D: -0.027414 Loss_G: -0.003232 Loss_D_real: 0.004837 Loss_D_fake 0.032251
[493/5000][30/535][50587] Loss_D: -0.026158 Loss_G: 0.015560 Loss_D_real: -0.024164 Loss_D_fake 0.001994
[493/5000][35/535][50588] Loss_D: -0.025637 Loss_G: 0.013065 Loss_D_real: -0.024890 Loss_D_fake 0.000747
[493/5000][40/535][50589] Loss_D: -0.026109 Loss_G: 0.029908 Loss_D_real: -0.034323 Loss_D_fake -0.008215
[493/5000][45/535][50590] Loss_D: -0.026008 Loss_G: 0.004010 Loss_D_real: -0.008310 Loss_D_fake 0.017698
[493/5000][50/535][50591] Loss_D: -0.025803 Loss_G: 0.017725 Loss_D_real: -0.020911 Loss_D_fake 0.004892
[493/5000][55/535][50592] Loss_D: -0.025904 Loss_G: 0.017375 Loss_D_real: -0.027557 Loss_D_fake -0.001653
[493/5000][60/535][50593] Loss_D: -0.026369 Loss_G: 0.001396 Loss_D_real: 0.002841 Loss_D_fake 0.029210
[493/5000][65/535][50594] Loss_D: -0.025712 Loss_G: 0.008894 Loss_D_real: -0.021086 Loss_D_fake 0.004626
[493/5000][70/535][50595] Loss_D: -0.026177 Loss_G: 0.026725 Loss_D_real: -0.022667 Loss_D_fake 0.003510
[493/5000][75/535][50596] Loss_D: -0.025964 Loss_G: -0.003967 Loss_D_real: -0.004688 Loss_D_fake 0.021276
[493/5000][80/535][50597] Loss_D: -0.026221 Loss_G: 0.002696 Loss_D_real: -0.010115 Loss_D_fake 0.016106
[493/5000][85/535][50598] Loss_D: -0.027637 Loss_G: 0.020100 Loss_D_real: -0.029465 Loss_D_fake -0.001828
[493/5000][90/535][50599] Loss_D: -0.028066 Loss_G: 0.008532 Loss_D_real: -0.018919 Loss_D_fake 0.009147
[493/5000][95/535][50600] Loss_D: -0.025008 Loss_G: -0.007291 Loss_D_real: 0.002776 Loss_D_fake 0.027785
[493/5000][100/535][50601] Loss_D: -0.027225 Loss_G: 0.016067 Loss_D_real: -0.017928 Loss_D_fake 0.009296
[493/5000][105/535][50602] Loss_D: -0.026488 Loss_G: 0.018978 Loss_D_real: -0.019927 Loss_D_fake 0.006561
[493/5000][110/535][50603] Loss_D: -0.026765 Loss_G: 0.036611 Loss_D_real: -0.032900 Loss_D_fake -0.006135
[493/5000][115/535][50604] Loss_D: -0.027247 Loss_G: 0.003189 Loss_D_real: -0.013849 Loss_D_fake 0.013397
[493/5000][120/535][50605] Loss_D: -0.026749 Loss_G: 0.029431 Loss_D_real: -0.030836 Loss_D_fake -0.004088
[493/5000][125/535][50606] Loss_D: -0.026944 Loss_G: 0.025689 Loss_D_real: -0.021321 Loss_D_fake 0.005623
[493/5000][130/535][50607] Loss_D: -0.027360 Loss_G: 0.014757 Loss_D_real: -0.011936 Loss_D_fake 0.015424
[493/5000][135/535][50608] Loss_D: -0.027809 Loss_G: 0.003282 Loss_D_real: -0.009376 Loss_D_fake 0.018433
[493/5000][140/535][50609] Loss_D: -0.027594 Loss_G: -0.001474 Loss_D_real: -0.013109 Loss_D_fake 0.014485
[493/5000][145/535][50610] Loss_D: -0.026426 Loss_G: 0.029148 Loss_D_real: -0.035171 Loss_D_fake -0.008745
[493/5000][150/535][50611] Loss_D: -0.027316 Loss_G: 0.006379 Loss_D_real: -0.016798 Loss_D_fake 0.010518
[493/5000][155/535][50612] Loss_D: -0.027389 Loss_G: 0.001644 Loss_D_real: -0.013210 Loss_D_fake 0.014179
[493/5000][160/535][50613] Loss_D: -0.026820 Loss_G: 0.018856 Loss_D_real: -0.019060 Loss_D_fake 0.007760
[493/5000][165/535][50614] Loss_D: -0.026164 Loss_G: 0.004885 Loss_D_real: -0.017622 Loss_D_fake 0.008542
[493/5000][170/535][50615] Loss_D: -0.028098 Loss_G: 0.034206 Loss_D_real: -0.025207 Loss_D_fake 0.002891
[493/5000][175/535][50616] Loss_D: -0.026523 Loss_G: 0.027165 Loss_D_real: -0.032400 Loss_D_fake -0.005876
[493/5000][180/535][50617] Loss_D: -0.026869 Loss_G: 0.020030 Loss_D_real: -0.017866 Loss_D_fake 0.009003
[493/5000][185/535][50618] Loss_D: -0.026089 Loss_G: 0.011083 Loss_D_real: -0.009172 Loss_D_fake 0.016917
[493/5000][190/535][50619] Loss_D: -0.027042 Loss_G: 0.020609 Loss_D_real: -0.026095 Loss_D_fake 0.000947
[493/5000][195/535][50620] Loss_D: -0.025842 Loss_G: 0.032702 Loss_D_real: -0.030752 Loss_D_fake -0.004909
[493/5000][200/535][50621] Loss_D: -0.026765 Loss_G: 0.004361 Loss_D_real: -0.008508 Loss_D_fake 0.018258
[493/5000][205/535][50622] Loss_D: -0.025649 Loss_G: 0.039629 Loss_D_real: -0.036958 Loss_D_fake -0.011309
[493/5000][210/535][50623] Loss_D: -0.028190 Loss_G: 0.004098 Loss_D_real: -0.019389 Loss_D_fake 0.008802
[493/5000][215/535][50624] Loss_D: -0.027433 Loss_G: 0.011052 Loss_D_real: -0.012505 Loss_D_fake 0.014928
[493/5000][220/535][50625] Loss_D: -0.026898 Loss_G: 0.024079 Loss_D_real: -0.012812 Loss_D_fake 0.014086
[493/5000][225/535][50626] Loss_D: -0.026821 Loss_G: 0.012660 Loss_D_real: -0.015113 Loss_D_fake 0.011709
[493/5000][230/535][50627] Loss_D: -0.026807 Loss_G: 0.003930 Loss_D_real: 0.002462 Loss_D_fake 0.029268
[493/5000][235/535][50628] Loss_D: -0.026538 Loss_G: 0.034669 Loss_D_real: -0.026073 Loss_D_fake 0.000466
[493/5000][240/535][50629] Loss_D: -0.027266 Loss_G: -0.004661 Loss_D_real: -0.002439 Loss_D_fake 0.024827
[493/5000][245/535][50630] Loss_D: -0.025721 Loss_G: 0.026941 Loss_D_real: -0.032150 Loss_D_fake -0.006430
[493/5000][250/535][50631] Loss_D: -0.027899 Loss_G: -0.009375 Loss_D_real: -0.008851 Loss_D_fake 0.019048
[493/5000][255/535][50632] Loss_D: -0.026884 Loss_G: 0.004667 Loss_D_real: -0.009956 Loss_D_fake 0.016928
[493/5000][260/535][50633] Loss_D: -0.025704 Loss_G: -0.008951 Loss_D_real: 0.000335 Loss_D_fake 0.026039
[493/5000][265/535][50634] Loss_D: -0.027533 Loss_G: 0.028146 Loss_D_real: -0.022030 Loss_D_fake 0.005503
[493/5000][270/535][50635] Loss_D: -0.026027 Loss_G: 0.029115 Loss_D_real: -0.022832 Loss_D_fake 0.003195
[493/5000][275/535][50636] Loss_D: -0.028094 Loss_G: -0.003869 Loss_D_real: -0.006168 Loss_D_fake 0.021926
[493/5000][280/535][50637] Loss_D: -0.026017 Loss_G: 0.024102 Loss_D_real: -0.018816 Loss_D_fake 0.007201
[493/5000][285/535][50638] Loss_D: -0.027004 Loss_G: -0.007420 Loss_D_real: -0.007676 Loss_D_fake 0.019327
[493/5000][290/535][50639] Loss_D: -0.026194 Loss_G: 0.020451 Loss_D_real: -0.020974 Loss_D_fake 0.005221
[493/5000][295/535][50640] Loss_D: -0.026934 Loss_G: 0.016983 Loss_D_real: -0.018620 Loss_D_fake 0.008314
[493/5000][300/535][50641] Loss_D: -0.028334 Loss_G: 0.004317 Loss_D_real: -0.001771 Loss_D_fake 0.026563
[493/5000][305/535][50642] Loss_D: -0.025968 Loss_G: 0.020641 Loss_D_real: -0.015706 Loss_D_fake 0.010262
[493/5000][310/535][50643] Loss_D: -0.026180 Loss_G: 0.025043 Loss_D_real: -0.021750 Loss_D_fake 0.004430
[493/5000][315/535][50644] Loss_D: -0.025781 Loss_G: 0.033458 Loss_D_real: -0.022185 Loss_D_fake 0.003597
[493/5000][320/535][50645] Loss_D: -0.026922 Loss_G: -0.010633 Loss_D_real: 0.003267 Loss_D_fake 0.030189
[493/5000][325/535][50646] Loss_D: -0.025776 Loss_G: 0.028935 Loss_D_real: -0.024931 Loss_D_fake 0.000845
[493/5000][330/535][50647] Loss_D: -0.026396 Loss_G: 0.015706 Loss_D_real: -0.016735 Loss_D_fake 0.009660
[493/5000][335/535][50648] Loss_D: -0.026897 Loss_G: -0.003870 Loss_D_real: -0.011471 Loss_D_fake 0.015426
[493/5000][340/535][50649] Loss_D: -0.027395 Loss_G: 0.003992 Loss_D_real: -0.017330 Loss_D_fake 0.010065
[493/5000][345/535][50650] Loss_D: -0.026238 Loss_G: 0.021728 Loss_D_real: -0.030574 Loss_D_fake -0.004335
[493/5000][350/535][50651] Loss_D: -0.028363 Loss_G: 0.025448 Loss_D_real: -0.017291 Loss_D_fake 0.011072
[493/5000][355/535][50652] Loss_D: -0.027235 Loss_G: -0.005740 Loss_D_real: -0.010969 Loss_D_fake 0.016266
[493/5000][360/535][50653] Loss_D: -0.026109 Loss_G: 0.019010 Loss_D_real: -0.019198 Loss_D_fake 0.006911
[493/5000][365/535][50654] Loss_D: -0.028036 Loss_G: 0.013437 Loss_D_real: -0.018609 Loss_D_fake 0.009426
[493/5000][370/535][50655] Loss_D: -0.027831 Loss_G: -0.000304 Loss_D_real: -0.002538 Loss_D_fake 0.025293
[493/5000][375/535][50656] Loss_D: -0.026848 Loss_G: 0.021886 Loss_D_real: -0.020105 Loss_D_fake 0.006743
[493/5000][380/535][50657] Loss_D: -0.026381 Loss_G: 0.009613 Loss_D_real: -0.012742 Loss_D_fake 0.013639
[493/5000][385/535][50658] Loss_D: -0.024949 Loss_G: 0.026338 Loss_D_real: -0.035451 Loss_D_fake -0.010502
[493/5000][390/535][50659] Loss_D: -0.027298 Loss_G: 0.025155 Loss_D_real: -0.019021 Loss_D_fake 0.008277
[493/5000][395/535][50660] Loss_D: -0.025987 Loss_G: -0.006691 Loss_D_real: -0.001301 Loss_D_fake 0.024686
[493/5000][400/535][50661] Loss_D: -0.026963 Loss_G: 0.024460 Loss_D_real: -0.021698 Loss_D_fake 0.005265
[493/5000][405/535][50662] Loss_D: -0.026335 Loss_G: 0.028091 Loss_D_real: -0.030435 Loss_D_fake -0.004099
[493/5000][410/535][50663] Loss_D: -0.026537 Loss_G: 0.001145 Loss_D_real: -0.009852 Loss_D_fake 0.016684
[493/5000][415/535][50664] Loss_D: -0.025870 Loss_G: 0.037855 Loss_D_real: -0.028088 Loss_D_fake -0.002218
[493/5000][420/535][50665] Loss_D: -0.025911 Loss_G: 0.021954 Loss_D_real: -0.015342 Loss_D_fake 0.010569
[493/5000][425/535][50666] Loss_D: -0.026957 Loss_G: 0.022409 Loss_D_real: -0.022979 Loss_D_fake 0.003978
[493/5000][430/535][50667] Loss_D: -0.024792 Loss_G: 0.024317 Loss_D_real: -0.032525 Loss_D_fake -0.007733
[493/5000][435/535][50668] Loss_D: -0.027403 Loss_G: 0.023084 Loss_D_real: -0.016864 Loss_D_fake 0.010539
[493/5000][440/535][50669] Loss_D: -0.026923 Loss_G: 0.017626 Loss_D_real: -0.023848 Loss_D_fake 0.003075
[493/5000][445/535][50670] Loss_D: -0.027927 Loss_G: 0.033085 Loss_D_real: -0.032202 Loss_D_fake -0.004275
[493/5000][450/535][50671] Loss_D: -0.025499 Loss_G: 0.018614 Loss_D_real: -0.011463 Loss_D_fake 0.014035
[493/5000][455/535][50672] Loss_D: -0.026835 Loss_G: 0.008861 Loss_D_real: -0.013578 Loss_D_fake 0.013257
[493/5000][460/535][50673] Loss_D: -0.024635 Loss_G: 0.035475 Loss_D_real: -0.033954 Loss_D_fake -0.009319
[493/5000][465/535][50674] Loss_D: -0.026645 Loss_G: -0.011779 Loss_D_real: -0.006656 Loss_D_fake 0.019989
[493/5000][470/535][50675] Loss_D: -0.027312 Loss_G: 0.014812 Loss_D_real: -0.015246 Loss_D_fake 0.012066
[493/5000][475/535][50676] Loss_D: -0.026806 Loss_G: 0.006520 Loss_D_real: 0.002030 Loss_D_fake 0.028836
[493/5000][480/535][50677] Loss_D: -0.028228 Loss_G: 0.009987 Loss_D_real: -0.012394 Loss_D_fake 0.015834
[493/5000][485/535][50678] Loss_D: -0.027134 Loss_G: 0.022998 Loss_D_real: -0.013508 Loss_D_fake 0.013627
[493/5000][490/535][50679] Loss_D: -0.027709 Loss_G: -0.002570 Loss_D_real: -0.000454 Loss_D_fake 0.027255
[493/5000][495/535][50680] Loss_D: -0.026459 Loss_G: 0.015396 Loss_D_real: -0.012210 Loss_D_fake 0.014249
[493/5000][500/535][50681] Loss_D: -0.027942 Loss_G: 0.027393 Loss_D_real: -0.030862 Loss_D_fake -0.002920
[493/5000][505/535][50682] Loss_D: -0.028070 Loss_G: 0.010986 Loss_D_real: -0.011004 Loss_D_fake 0.017065
[493/5000][510/535][50683] Loss_D: -0.028840 Loss_G: 0.009290 Loss_D_real: -0.021691 Loss_D_fake 0.007149
[493/5000][515/535][50684] Loss_D: -0.026871 Loss_G: 0.005428 Loss_D_real: -0.017031 Loss_D_fake 0.009840
[493/5000][520/535][50685] Loss_D: -0.027484 Loss_G: 0.002273 Loss_D_real: -0.018020 Loss_D_fake 0.009465
[493/5000][525/535][50686] Loss_D: -0.027131 Loss_G: 0.013977 Loss_D_real: -0.022950 Loss_D_fake 0.004181
[493/5000][530/535][50687] Loss_D: -0.027364 Loss_G: 0.012426 Loss_D_real: -0.014235 Loss_D_fake 0.013129
[493/5000][535/535][50688] Loss_D: -0.028488 Loss_G: 0.044501 Loss_D_real: -0.033192 Loss_D_fake -0.004704
[494/5000][5/535][50689] Loss_D: -0.027271 Loss_G: -0.001738 Loss_D_real: -0.005260 Loss_D_fake 0.022010
[494/5000][10/535][50690] Loss_D: -0.025678 Loss_G: 0.032893 Loss_D_real: -0.033767 Loss_D_fake -0.008089
[494/5000][15/535][50691] Loss_D: -0.026908 Loss_G: 0.023296 Loss_D_real: -0.018409 Loss_D_fake 0.008499
[494/5000][20/535][50692] Loss_D: -0.025347 Loss_G: 0.014885 Loss_D_real: -0.013228 Loss_D_fake 0.012118
[494/5000][25/535][50693] Loss_D: -0.026154 Loss_G: -0.002095 Loss_D_real: 0.002592 Loss_D_fake 0.028747
[494/5000][30/535][50694] Loss_D: -0.026443 Loss_G: 0.026900 Loss_D_real: -0.028821 Loss_D_fake -0.002378
[494/5000][35/535][50695] Loss_D: -0.027506 Loss_G: 0.016409 Loss_D_real: -0.020764 Loss_D_fake 0.006742
[494/5000][40/535][50696] Loss_D: -0.024407 Loss_G: -0.015380 Loss_D_real: 0.000079 Loss_D_fake 0.024487
[494/5000][45/535][50697] Loss_D: -0.025507 Loss_G: -0.003201 Loss_D_real: -0.006252 Loss_D_fake 0.019255
[494/5000][50/535][50698] Loss_D: -0.027621 Loss_G: 0.009358 Loss_D_real: -0.003863 Loss_D_fake 0.023759
[494/5000][55/535][50699] Loss_D: -0.026799 Loss_G: 0.007238 Loss_D_real: -0.014053 Loss_D_fake 0.012746
[494/5000][60/535][50700] Loss_D: -0.026994 Loss_G: 0.006998 Loss_D_real: -0.009535 Loss_D_fake 0.017458
[494/5000][65/535][50701] Loss_D: -0.026525 Loss_G: 0.024146 Loss_D_real: -0.026444 Loss_D_fake 0.000081
[494/5000][70/535][50702] Loss_D: -0.026241 Loss_G: 0.040004 Loss_D_real: -0.032880 Loss_D_fake -0.006638
[494/5000][75/535][50703] Loss_D: -0.027143 Loss_G: -0.007541 Loss_D_real: -0.000667 Loss_D_fake 0.026477
[494/5000][80/535][50704] Loss_D: -0.026390 Loss_G: 0.020280 Loss_D_real: -0.020558 Loss_D_fake 0.005832
[494/5000][85/535][50705] Loss_D: -0.027447 Loss_G: 0.010774 Loss_D_real: -0.026072 Loss_D_fake 0.001376
[494/5000][90/535][50706] Loss_D: -0.027224 Loss_G: 0.011027 Loss_D_real: -0.007186 Loss_D_fake 0.020038
[494/5000][95/535][50707] Loss_D: -0.026670 Loss_G: 0.022893 Loss_D_real: -0.017817 Loss_D_fake 0.008853
[494/5000][100/535][50708] Loss_D: -0.026904 Loss_G: 0.002437 Loss_D_real: -0.009792 Loss_D_fake 0.017112
[494/5000][105/535][50709] Loss_D: -0.026267 Loss_G: 0.013863 Loss_D_real: -0.018149 Loss_D_fake 0.008118
[494/5000][110/535][50710] Loss_D: -0.025814 Loss_G: -0.002097 Loss_D_real: -0.010598 Loss_D_fake 0.015216
[494/5000][115/535][50711] Loss_D: -0.026348 Loss_G: -0.001911 Loss_D_real: -0.003707 Loss_D_fake 0.022641
[494/5000][120/535][50712] Loss_D: -0.025697 Loss_G: 0.027055 Loss_D_real: -0.033079 Loss_D_fake -0.007383
[494/5000][125/535][50713] Loss_D: -0.026455 Loss_G: 0.012306 Loss_D_real: -0.019473 Loss_D_fake 0.006983
[494/5000][130/535][50714] Loss_D: -0.027966 Loss_G: 0.029210 Loss_D_real: -0.028199 Loss_D_fake -0.000234
[494/5000][135/535][50715] Loss_D: -0.026987 Loss_G: -0.001300 Loss_D_real: -0.006282 Loss_D_fake 0.020705
[494/5000][140/535][50716] Loss_D: -0.026340 Loss_G: 0.000015 Loss_D_real: 0.000150 Loss_D_fake 0.026490
[494/5000][145/535][50717] Loss_D: -0.025594 Loss_G: 0.002827 Loss_D_real: -0.006435 Loss_D_fake 0.019158
[494/5000][150/535][50718] Loss_D: -0.026287 Loss_G: 0.031960 Loss_D_real: -0.019904 Loss_D_fake 0.006383
[494/5000][155/535][50719] Loss_D: -0.026100 Loss_G: 0.001820 Loss_D_real: -0.006741 Loss_D_fake 0.019359
[494/5000][160/535][50720] Loss_D: -0.026186 Loss_G: 0.006845 Loss_D_real: -0.013427 Loss_D_fake 0.012759
[494/5000][165/535][50721] Loss_D: -0.026892 Loss_G: 0.006482 Loss_D_real: -0.006109 Loss_D_fake 0.020783
[494/5000][170/535][50722] Loss_D: -0.025784 Loss_G: 0.020772 Loss_D_real: -0.025325 Loss_D_fake 0.000459
[494/5000][175/535][50723] Loss_D: -0.025395 Loss_G: 0.017540 Loss_D_real: -0.016415 Loss_D_fake 0.008980
[494/5000][180/535][50724] Loss_D: -0.026739 Loss_G: -0.005365 Loss_D_real: -0.007937 Loss_D_fake 0.018802
[494/5000][185/535][50725] Loss_D: -0.025204 Loss_G: 0.026277 Loss_D_real: -0.023949 Loss_D_fake 0.001255
[494/5000][190/535][50726] Loss_D: -0.026764 Loss_G: -0.011854 Loss_D_real: -0.004410 Loss_D_fake 0.022354
[494/5000][195/535][50727] Loss_D: -0.026622 Loss_G: 0.033474 Loss_D_real: -0.032003 Loss_D_fake -0.005381
[494/5000][200/535][50728] Loss_D: -0.028196 Loss_G: 0.023711 Loss_D_real: -0.017881 Loss_D_fake 0.010315
[494/5000][205/535][50729] Loss_D: -0.025920 Loss_G: -0.009903 Loss_D_real: -0.001449 Loss_D_fake 0.024471
[494/5000][210/535][50730] Loss_D: -0.025738 Loss_G: 0.016838 Loss_D_real: -0.011430 Loss_D_fake 0.014308
[494/5000][215/535][50731] Loss_D: -0.025483 Loss_G: 0.021667 Loss_D_real: -0.017714 Loss_D_fake 0.007769
[494/5000][220/535][50732] Loss_D: -0.026593 Loss_G: -0.005114 Loss_D_real: -0.005239 Loss_D_fake 0.021354
[494/5000][225/535][50733] Loss_D: -0.026815 Loss_G: 0.021850 Loss_D_real: -0.018867 Loss_D_fake 0.007948
[494/5000][230/535][50734] Loss_D: -0.027536 Loss_G: 0.036688 Loss_D_real: -0.033861 Loss_D_fake -0.006324
[494/5000][235/535][50735] Loss_D: -0.025829 Loss_G: -0.014035 Loss_D_real: 0.003185 Loss_D_fake 0.029013
[494/5000][240/535][50736] Loss_D: -0.025901 Loss_G: 0.003935 Loss_D_real: -0.014968 Loss_D_fake 0.010933
[494/5000][245/535][50737] Loss_D: -0.026467 Loss_G: 0.020745 Loss_D_real: -0.020283 Loss_D_fake 0.006183
[494/5000][250/535][50738] Loss_D: -0.027441 Loss_G: 0.027634 Loss_D_real: -0.023045 Loss_D_fake 0.004396
[494/5000][255/535][50739] Loss_D: -0.027918 Loss_G: 0.007099 Loss_D_real: -0.004305 Loss_D_fake 0.023613
[494/5000][260/535][50740] Loss_D: -0.027328 Loss_G: 0.010545 Loss_D_real: -0.016497 Loss_D_fake 0.010831
[494/5000][265/535][50741] Loss_D: -0.027709 Loss_G: 0.028716 Loss_D_real: -0.023850 Loss_D_fake 0.003859
[494/5000][270/535][50742] Loss_D: -0.028013 Loss_G: 0.005786 Loss_D_real: -0.004535 Loss_D_fake 0.023478
[494/5000][275/535][50743] Loss_D: -0.026284 Loss_G: -0.008635 Loss_D_real: -0.005467 Loss_D_fake 0.020817
[494/5000][280/535][50744] Loss_D: -0.026134 Loss_G: 0.027018 Loss_D_real: -0.018386 Loss_D_fake 0.007748
[494/5000][285/535][50745] Loss_D: -0.027700 Loss_G: 0.022445 Loss_D_real: -0.015653 Loss_D_fake 0.012046
[494/5000][290/535][50746] Loss_D: -0.027311 Loss_G: 0.023662 Loss_D_real: -0.023496 Loss_D_fake 0.003815
[494/5000][295/535][50747] Loss_D: -0.026726 Loss_G: 0.008170 Loss_D_real: -0.009824 Loss_D_fake 0.016902
[494/5000][300/535][50748] Loss_D: -0.026743 Loss_G: 0.024361 Loss_D_real: -0.025539 Loss_D_fake 0.001204
[494/5000][305/535][50749] Loss_D: -0.026743 Loss_G: 0.021745 Loss_D_real: -0.015579 Loss_D_fake 0.011164
[494/5000][310/535][50750] Loss_D: -0.026746 Loss_G: 0.031818 Loss_D_real: -0.032533 Loss_D_fake -0.005787
[494/5000][315/535][50751] Loss_D: -0.026153 Loss_G: 0.020027 Loss_D_real: -0.009815 Loss_D_fake 0.016338
[494/5000][320/535][50752] Loss_D: -0.027487 Loss_G: -0.013337 Loss_D_real: 0.003509 Loss_D_fake 0.030996
[494/5000][325/535][50753] Loss_D: -0.026454 Loss_G: 0.026477 Loss_D_real: -0.032058 Loss_D_fake -0.005604
[494/5000][330/535][50754] Loss_D: -0.026759 Loss_G: 0.001676 Loss_D_real: -0.010691 Loss_D_fake 0.016068
[494/5000][335/535][50755] Loss_D: -0.026450 Loss_G: 0.023496 Loss_D_real: -0.016999 Loss_D_fake 0.009451
[494/5000][340/535][50756] Loss_D: -0.027647 Loss_G: 0.030028 Loss_D_real: -0.037756 Loss_D_fake -0.010109
[494/5000][345/535][50757] Loss_D: -0.027602 Loss_G: 0.015021 Loss_D_real: -0.011204 Loss_D_fake 0.016398
[494/5000][350/535][50758] Loss_D: -0.027268 Loss_G: 0.009198 Loss_D_real: -0.021137 Loss_D_fake 0.006131
[494/5000][355/535][50759] Loss_D: -0.027400 Loss_G: 0.003043 Loss_D_real: -0.006986 Loss_D_fake 0.020414
[494/5000][360/535][50760] Loss_D: -0.026639 Loss_G: 0.009809 Loss_D_real: -0.015736 Loss_D_fake 0.010903
[494/5000][365/535][50761] Loss_D: -0.026809 Loss_G: 0.032833 Loss_D_real: -0.019303 Loss_D_fake 0.007506
[494/5000][370/535][50762] Loss_D: -0.028047 Loss_G: 0.010463 Loss_D_real: -0.002734 Loss_D_fake 0.025313
[494/5000][375/535][50763] Loss_D: -0.027464 Loss_G: 0.015916 Loss_D_real: -0.023372 Loss_D_fake 0.004092
[494/5000][380/535][50764] Loss_D: -0.027433 Loss_G: 0.001895 Loss_D_real: -0.005033 Loss_D_fake 0.022400
[494/5000][385/535][50765] Loss_D: -0.026662 Loss_G: 0.032693 Loss_D_real: -0.028957 Loss_D_fake -0.002295
[494/5000][390/535][50766] Loss_D: -0.026294 Loss_G: 0.026098 Loss_D_real: -0.023792 Loss_D_fake 0.002501
[494/5000][395/535][50767] Loss_D: -0.026510 Loss_G: 0.029588 Loss_D_real: -0.031573 Loss_D_fake -0.005063
[494/5000][400/535][50768] Loss_D: -0.026582 Loss_G: 0.027934 Loss_D_real: -0.027526 Loss_D_fake -0.000944
[494/5000][405/535][50769] Loss_D: -0.025577 Loss_G: -0.002539 Loss_D_real: -0.000153 Loss_D_fake 0.025424
[494/5000][410/535][50770] Loss_D: -0.026070 Loss_G: 0.034157 Loss_D_real: -0.030235 Loss_D_fake -0.004166
[494/5000][415/535][50771] Loss_D: -0.026627 Loss_G: -0.003558 Loss_D_real: -0.002271 Loss_D_fake 0.024356
[494/5000][420/535][50772] Loss_D: -0.027892 Loss_G: -0.004774 Loss_D_real: -0.006843 Loss_D_fake 0.021049
[494/5000][425/535][50773] Loss_D: -0.026936 Loss_G: 0.013618 Loss_D_real: -0.026871 Loss_D_fake 0.000065
[494/5000][430/535][50774] Loss_D: -0.027801 Loss_G: 0.020837 Loss_D_real: -0.018249 Loss_D_fake 0.009551
[494/5000][435/535][50775] Loss_D: -0.025875 Loss_G: -0.005418 Loss_D_real: -0.005123 Loss_D_fake 0.020752
[494/5000][440/535][50776] Loss_D: -0.026072 Loss_G: 0.001126 Loss_D_real: -0.007514 Loss_D_fake 0.018558
[494/5000][445/535][50777] Loss_D: -0.025392 Loss_G: 0.031573 Loss_D_real: -0.031407 Loss_D_fake -0.006015
[494/5000][450/535][50778] Loss_D: -0.025823 Loss_G: -0.012618 Loss_D_real: -0.003218 Loss_D_fake 0.022606
[494/5000][455/535][50779] Loss_D: -0.027002 Loss_G: 0.017756 Loss_D_real: -0.018311 Loss_D_fake 0.008691
[494/5000][460/535][50780] Loss_D: -0.026551 Loss_G: 0.025508 Loss_D_real: -0.022633 Loss_D_fake 0.003918
[494/5000][465/535][50781] Loss_D: -0.025785 Loss_G: 0.026503 Loss_D_real: -0.030025 Loss_D_fake -0.004239
[494/5000][470/535][50782] Loss_D: -0.027407 Loss_G: 0.015709 Loss_D_real: -0.023400 Loss_D_fake 0.004007
[494/5000][475/535][50783] Loss_D: -0.026763 Loss_G: -0.012587 Loss_D_real: 0.003477 Loss_D_fake 0.030240
[494/5000][480/535][50784] Loss_D: -0.027389 Loss_G: 0.028258 Loss_D_real: -0.023614 Loss_D_fake 0.003775
[494/5000][485/535][50785] Loss_D: -0.026881 Loss_G: 0.003820 Loss_D_real: -0.007071 Loss_D_fake 0.019810
[494/5000][490/535][50786] Loss_D: -0.028615 Loss_G: 0.017435 Loss_D_real: -0.021394 Loss_D_fake 0.007222
[494/5000][495/535][50787] Loss_D: -0.027875 Loss_G: 0.000157 Loss_D_real: -0.013177 Loss_D_fake 0.014698
[494/5000][500/535][50788] Loss_D: -0.026224 Loss_G: 0.010556 Loss_D_real: -0.013302 Loss_D_fake 0.012922
[494/5000][505/535][50789] Loss_D: -0.026904 Loss_G: 0.021461 Loss_D_real: -0.026583 Loss_D_fake 0.000321
[494/5000][510/535][50790] Loss_D: -0.028309 Loss_G: 0.004849 Loss_D_real: -0.021357 Loss_D_fake 0.006951
[494/5000][515/535][50791] Loss_D: -0.026298 Loss_G: 0.026507 Loss_D_real: -0.027044 Loss_D_fake -0.000746
[494/5000][520/535][50792] Loss_D: -0.027274 Loss_G: 0.027020 Loss_D_real: -0.033668 Loss_D_fake -0.006394
[494/5000][525/535][50793] Loss_D: -0.028077 Loss_G: 0.013669 Loss_D_real: -0.019911 Loss_D_fake 0.008166
[494/5000][530/535][50794] Loss_D: -0.025886 Loss_G: 0.027322 Loss_D_real: -0.024069 Loss_D_fake 0.001817
[494/5000][535/535][50795] Loss_D: -0.025781 Loss_G: -0.013713 Loss_D_real: -0.009830 Loss_D_fake 0.015951
[495/5000][5/535][50796] Loss_D: -0.025319 Loss_G: 0.021137 Loss_D_real: -0.022670 Loss_D_fake 0.002649
[495/5000][10/535][50797] Loss_D: -0.026901 Loss_G: 0.018807 Loss_D_real: -0.019639 Loss_D_fake 0.007262
[495/5000][15/535][50798] Loss_D: -0.026597 Loss_G: 0.041638 Loss_D_real: -0.028808 Loss_D_fake -0.002211
[495/5000][20/535][50799] Loss_D: -0.025893 Loss_G: -0.001512 Loss_D_real: -0.005910 Loss_D_fake 0.019983
[495/5000][25/535][50800] Loss_D: -0.026411 Loss_G: 0.021878 Loss_D_real: -0.016570 Loss_D_fake 0.009840
[495/5000][30/535][50801] Loss_D: -0.025149 Loss_G: 0.020333 Loss_D_real: -0.032604 Loss_D_fake -0.007455
[495/5000][35/535][50802] Loss_D: -0.026206 Loss_G: 0.039757 Loss_D_real: -0.025946 Loss_D_fake 0.000261
[495/5000][40/535][50803] Loss_D: -0.025358 Loss_G: -0.008643 Loss_D_real: 0.001816 Loss_D_fake 0.027174
[495/5000][45/535][50804] Loss_D: -0.024112 Loss_G: 0.020516 Loss_D_real: -0.025631 Loss_D_fake -0.001520
[495/5000][50/535][50805] Loss_D: -0.026591 Loss_G: 0.006534 Loss_D_real: -0.009543 Loss_D_fake 0.017048
[495/5000][55/535][50806] Loss_D: -0.025976 Loss_G: 0.022915 Loss_D_real: -0.029722 Loss_D_fake -0.003747
[495/5000][60/535][50807] Loss_D: -0.028053 Loss_G: 0.004818 Loss_D_real: -0.016228 Loss_D_fake 0.011825
[495/5000][65/535][50808] Loss_D: -0.025923 Loss_G: 0.021404 Loss_D_real: -0.022193 Loss_D_fake 0.003729
[495/5000][70/535][50809] Loss_D: -0.026573 Loss_G: 0.025334 Loss_D_real: -0.022896 Loss_D_fake 0.003677
[495/5000][75/535][50810] Loss_D: -0.026369 Loss_G: 0.005978 Loss_D_real: -0.007574 Loss_D_fake 0.018795
[495/5000][80/535][50811] Loss_D: -0.026380 Loss_G: 0.009468 Loss_D_real: -0.000786 Loss_D_fake 0.025594
[495/5000][85/535][50812] Loss_D: -0.026583 Loss_G: 0.019068 Loss_D_real: -0.013996 Loss_D_fake 0.012587
[495/5000][90/535][50813] Loss_D: -0.026252 Loss_G: 0.029074 Loss_D_real: -0.025776 Loss_D_fake 0.000476
[495/5000][95/535][50814] Loss_D: -0.026675 Loss_G: 0.027791 Loss_D_real: -0.017531 Loss_D_fake 0.009145
[495/5000][100/535][50815] Loss_D: -0.025247 Loss_G: 0.008541 Loss_D_real: -0.024119 Loss_D_fake 0.001129
[495/5000][105/535][50816] Loss_D: -0.027663 Loss_G: 0.000676 Loss_D_real: -0.015608 Loss_D_fake 0.012055
[495/5000][110/535][50817] Loss_D: -0.027478 Loss_G: 0.006083 Loss_D_real: -0.015749 Loss_D_fake 0.011729
[495/5000][115/535][50818] Loss_D: -0.028510 Loss_G: 0.024432 Loss_D_real: -0.018980 Loss_D_fake 0.009529
[495/5000][120/535][50819] Loss_D: -0.028678 Loss_G: 0.004417 Loss_D_real: -0.008334 Loss_D_fake 0.020344
[495/5000][125/535][50820] Loss_D: -0.025626 Loss_G: 0.022742 Loss_D_real: -0.034701 Loss_D_fake -0.009075
[495/5000][130/535][50821] Loss_D: -0.027216 Loss_G: 0.023799 Loss_D_real: -0.033387 Loss_D_fake -0.006171
[495/5000][135/535][50822] Loss_D: -0.026336 Loss_G: -0.026707 Loss_D_real: 0.007133 Loss_D_fake 0.033469
[495/5000][140/535][50823] Loss_D: -0.026147 Loss_G: 0.017230 Loss_D_real: -0.019545 Loss_D_fake 0.006602
[495/5000][145/535][50824] Loss_D: -0.027544 Loss_G: 0.017092 Loss_D_real: -0.013601 Loss_D_fake 0.013943
[495/5000][150/535][50825] Loss_D: -0.027616 Loss_G: 0.007327 Loss_D_real: -0.007581 Loss_D_fake 0.020035
[495/5000][155/535][50826] Loss_D: -0.025399 Loss_G: -0.012472 Loss_D_real: -0.003305 Loss_D_fake 0.022094
[495/5000][160/535][50827] Loss_D: -0.026146 Loss_G: 0.027986 Loss_D_real: -0.027323 Loss_D_fake -0.001176
[495/5000][165/535][50828] Loss_D: -0.029075 Loss_G: 0.010995 Loss_D_real: -0.022474 Loss_D_fake 0.006601
[495/5000][170/535][50829] Loss_D: -0.027360 Loss_G: 0.023386 Loss_D_real: -0.027046 Loss_D_fake 0.000313
[495/5000][175/535][50830] Loss_D: -0.025918 Loss_G: 0.002426 Loss_D_real: -0.006713 Loss_D_fake 0.019205
[495/5000][180/535][50831] Loss_D: -0.027120 Loss_G: 0.016389 Loss_D_real: -0.012393 Loss_D_fake 0.014727
[495/5000][185/535][50832] Loss_D: -0.026162 Loss_G: 0.009486 Loss_D_real: -0.012693 Loss_D_fake 0.013469
[495/5000][190/535][50833] Loss_D: -0.025933 Loss_G: 0.030509 Loss_D_real: -0.030430 Loss_D_fake -0.004498
[495/5000][195/535][50834] Loss_D: -0.025281 Loss_G: 0.025988 Loss_D_real: -0.017291 Loss_D_fake 0.007990
[495/5000][200/535][50835] Loss_D: -0.025031 Loss_G: -0.017269 Loss_D_real: 0.007394 Loss_D_fake 0.032426
[495/5000][205/535][50836] Loss_D: -0.022665 Loss_G: 0.035127 Loss_D_real: -0.033149 Loss_D_fake -0.010484
[495/5000][210/535][50837] Loss_D: -0.026371 Loss_G: 0.006180 Loss_D_real: -0.010533 Loss_D_fake 0.015838
[495/5000][215/535][50838] Loss_D: -0.026265 Loss_G: 0.023915 Loss_D_real: -0.029897 Loss_D_fake -0.003633
[495/5000][220/535][50839] Loss_D: -0.027596 Loss_G: -0.000137 Loss_D_real: -0.010715 Loss_D_fake 0.016881
[495/5000][225/535][50840] Loss_D: -0.027041 Loss_G: 0.015404 Loss_D_real: -0.004382 Loss_D_fake 0.022658
[495/5000][230/535][50841] Loss_D: -0.026775 Loss_G: -0.001030 Loss_D_real: -0.004228 Loss_D_fake 0.022547
[495/5000][235/535][50842] Loss_D: -0.028047 Loss_G: 0.019498 Loss_D_real: -0.025743 Loss_D_fake 0.002304
[495/5000][240/535][50843] Loss_D: -0.026938 Loss_G: 0.019858 Loss_D_real: -0.021333 Loss_D_fake 0.005604
[495/5000][245/535][50844] Loss_D: -0.029175 Loss_G: 0.003286 Loss_D_real: -0.016593 Loss_D_fake 0.012582
[495/5000][250/535][50845] Loss_D: -0.027814 Loss_G: 0.028043 Loss_D_real: -0.024140 Loss_D_fake 0.003674
[495/5000][255/535][50846] Loss_D: -0.026477 Loss_G: 0.018890 Loss_D_real: -0.020804 Loss_D_fake 0.005673
[495/5000][260/535][50847] Loss_D: -0.026106 Loss_G: 0.025726 Loss_D_real: -0.033484 Loss_D_fake -0.007378
[495/5000][265/535][50848] Loss_D: -0.027203 Loss_G: 0.016692 Loss_D_real: -0.019651 Loss_D_fake 0.007553
[495/5000][270/535][50849] Loss_D: -0.026622 Loss_G: 0.023471 Loss_D_real: -0.023070 Loss_D_fake 0.003552
[495/5000][275/535][50850] Loss_D: -0.025227 Loss_G: -0.016569 Loss_D_real: -0.001769 Loss_D_fake 0.023458
[495/5000][280/535][50851] Loss_D: -0.023906 Loss_G: 0.013423 Loss_D_real: -0.022844 Loss_D_fake 0.001062
[495/5000][285/535][50852] Loss_D: -0.027485 Loss_G: 0.011104 Loss_D_real: -0.016329 Loss_D_fake 0.011157
[495/5000][290/535][50853] Loss_D: -0.027410 Loss_G: 0.010274 Loss_D_real: -0.012379 Loss_D_fake 0.015031
[495/5000][295/535][50854] Loss_D: -0.028206 Loss_G: 0.021973 Loss_D_real: -0.022539 Loss_D_fake 0.005667
[495/5000][300/535][50855] Loss_D: -0.026644 Loss_G: 0.040310 Loss_D_real: -0.033368 Loss_D_fake -0.006724
[495/5000][305/535][50856] Loss_D: -0.025015 Loss_G: 0.014731 Loss_D_real: -0.013193 Loss_D_fake 0.011822
[495/5000][310/535][50857] Loss_D: -0.027157 Loss_G: 0.004937 Loss_D_real: -0.009396 Loss_D_fake 0.017761
[495/5000][315/535][50858] Loss_D: -0.025655 Loss_G: 0.011009 Loss_D_real: -0.019598 Loss_D_fake 0.006058
[495/5000][320/535][50859] Loss_D: -0.026269 Loss_G: 0.011226 Loss_D_real: -0.023940 Loss_D_fake 0.002329
[495/5000][325/535][50860] Loss_D: -0.027105 Loss_G: 0.014414 Loss_D_real: -0.020795 Loss_D_fake 0.006310
[495/5000][330/535][50861] Loss_D: -0.028559 Loss_G: 0.018705 Loss_D_real: -0.019776 Loss_D_fake 0.008783
[495/5000][335/535][50862] Loss_D: -0.023016 Loss_G: -0.022820 Loss_D_real: 0.011714 Loss_D_fake 0.034730
[495/5000][340/535][50863] Loss_D: -0.026161 Loss_G: 0.014925 Loss_D_real: -0.013713 Loss_D_fake 0.012448
[495/5000][345/535][50864] Loss_D: -0.025871 Loss_G: 0.002827 Loss_D_real: 0.006325 Loss_D_fake 0.032196
[495/5000][350/535][50865] Loss_D: -0.026413 Loss_G: 0.011634 Loss_D_real: -0.014817 Loss_D_fake 0.011595
[495/5000][355/535][50866] Loss_D: -0.024021 Loss_G: 0.032233 Loss_D_real: -0.035786 Loss_D_fake -0.011765
[495/5000][360/535][50867] Loss_D: -0.027915 Loss_G: 0.025346 Loss_D_real: -0.023999 Loss_D_fake 0.003915
[495/5000][365/535][50868] Loss_D: -0.027595 Loss_G: -0.008742 Loss_D_real: -0.001952 Loss_D_fake 0.025643
[495/5000][370/535][50869] Loss_D: -0.028054 Loss_G: 0.018081 Loss_D_real: -0.010369 Loss_D_fake 0.017685
[495/5000][375/535][50870] Loss_D: -0.026127 Loss_G: 0.018053 Loss_D_real: -0.016647 Loss_D_fake 0.009480
[495/5000][380/535][50871] Loss_D: -0.026267 Loss_G: 0.023435 Loss_D_real: -0.025520 Loss_D_fake 0.000748
[495/5000][385/535][50872] Loss_D: -0.028148 Loss_G: 0.008166 Loss_D_real: -0.013636 Loss_D_fake 0.014512
[495/5000][390/535][50873] Loss_D: -0.027039 Loss_G: 0.010281 Loss_D_real: -0.017286 Loss_D_fake 0.009753
[495/5000][395/535][50874] Loss_D: -0.027068 Loss_G: 0.002352 Loss_D_real: -0.005519 Loss_D_fake 0.021550
[495/5000][400/535][50875] Loss_D: -0.026903 Loss_G: 0.032223 Loss_D_real: -0.027307 Loss_D_fake -0.000404
[495/5000][405/535][50876] Loss_D: -0.027777 Loss_G: 0.007236 Loss_D_real: -0.004859 Loss_D_fake 0.022918
[495/5000][410/535][50877] Loss_D: -0.027647 Loss_G: 0.024893 Loss_D_real: -0.030648 Loss_D_fake -0.003001
[495/5000][415/535][50878] Loss_D: -0.027813 Loss_G: 0.020755 Loss_D_real: -0.018554 Loss_D_fake 0.009259
[495/5000][420/535][50879] Loss_D: -0.027769 Loss_G: -0.005588 Loss_D_real: -0.005496 Loss_D_fake 0.022273
[495/5000][425/535][50880] Loss_D: -0.026371 Loss_G: 0.006697 Loss_D_real: -0.006378 Loss_D_fake 0.019993
[495/5000][430/535][50881] Loss_D: -0.026897 Loss_G: -0.005526 Loss_D_real: 0.001112 Loss_D_fake 0.028009
[495/5000][435/535][50882] Loss_D: -0.026368 Loss_G: 0.014377 Loss_D_real: -0.013597 Loss_D_fake 0.012771
[495/5000][440/535][50883] Loss_D: -0.028406 Loss_G: 0.026779 Loss_D_real: -0.020348 Loss_D_fake 0.008058
[495/5000][445/535][50884] Loss_D: -0.028913 Loss_G: 0.022999 Loss_D_real: -0.018080 Loss_D_fake 0.010833
[495/5000][450/535][50885] Loss_D: -0.027745 Loss_G: 0.014554 Loss_D_real: -0.011295 Loss_D_fake 0.016449
[495/5000][455/535][50886] Loss_D: -0.027827 Loss_G: 0.004245 Loss_D_real: -0.004733 Loss_D_fake 0.023094
[495/5000][460/535][50887] Loss_D: -0.025469 Loss_G: -0.010383 Loss_D_real: -0.007456 Loss_D_fake 0.018013
[495/5000][465/535][50888] Loss_D: -0.026099 Loss_G: 0.034613 Loss_D_real: -0.028514 Loss_D_fake -0.002415
[495/5000][470/535][50889] Loss_D: -0.026837 Loss_G: 0.008121 Loss_D_real: -0.015404 Loss_D_fake 0.011432
[495/5000][475/535][50890] Loss_D: -0.026355 Loss_G: 0.028287 Loss_D_real: -0.026847 Loss_D_fake -0.000492
[495/5000][480/535][50891] Loss_D: -0.028225 Loss_G: 0.012637 Loss_D_real: -0.018020 Loss_D_fake 0.010205
[495/5000][485/535][50892] Loss_D: -0.027933 Loss_G: 0.008047 Loss_D_real: -0.024284 Loss_D_fake 0.003649
[495/5000][490/535][50893] Loss_D: -0.026250 Loss_G: 0.018305 Loss_D_real: -0.013426 Loss_D_fake 0.012825
[495/5000][495/535][50894] Loss_D: -0.028248 Loss_G: 0.001012 Loss_D_real: -0.012512 Loss_D_fake 0.015736
[495/5000][500/535][50895] Loss_D: -0.027594 Loss_G: 0.025743 Loss_D_real: -0.030269 Loss_D_fake -0.002675
[495/5000][505/535][50896] Loss_D: -0.026935 Loss_G: 0.007714 Loss_D_real: -0.013230 Loss_D_fake 0.013705
[495/5000][510/535][50897] Loss_D: -0.025999 Loss_G: -0.003926 Loss_D_real: 0.009141 Loss_D_fake 0.035140
[495/5000][515/535][50898] Loss_D: -0.027790 Loss_G: -0.008728 Loss_D_real: -0.007631 Loss_D_fake 0.020160
[495/5000][520/535][50899] Loss_D: -0.026110 Loss_G: 0.002944 Loss_D_real: -0.007384 Loss_D_fake 0.018726
[495/5000][525/535][50900] Loss_D: -0.027635 Loss_G: 0.024841 Loss_D_real: -0.013856 Loss_D_fake 0.013779
[495/5000][530/535][50901] Loss_D: -0.025350 Loss_G: 0.002895 Loss_D_real: -0.008097 Loss_D_fake 0.017253
[495/5000][535/535][50902] Loss_D: -0.028041 Loss_G: 0.017129 Loss_D_real: -0.028515 Loss_D_fake -0.000474
[496/5000][5/535][50903] Loss_D: -0.026505 Loss_G: -0.009657 Loss_D_real: -0.007729 Loss_D_fake 0.018776
[496/5000][10/535][50904] Loss_D: -0.025296 Loss_G: 0.023282 Loss_D_real: -0.023423 Loss_D_fake 0.001873
[496/5000][15/535][50905] Loss_D: -0.026478 Loss_G: -0.002461 Loss_D_real: 0.000294 Loss_D_fake 0.026772
[496/5000][20/535][50906] Loss_D: -0.025968 Loss_G: 0.018097 Loss_D_real: -0.019669 Loss_D_fake 0.006299
[496/5000][25/535][50907] Loss_D: -0.026132 Loss_G: 0.000288 Loss_D_real: -0.018009 Loss_D_fake 0.008123
[496/5000][30/535][50908] Loss_D: -0.025532 Loss_G: 0.024643 Loss_D_real: -0.028218 Loss_D_fake -0.002686
[496/5000][35/535][50909] Loss_D: -0.027080 Loss_G: 0.000821 Loss_D_real: -0.002741 Loss_D_fake 0.024339
[496/5000][40/535][50910] Loss_D: -0.027281 Loss_G: 0.015708 Loss_D_real: -0.017393 Loss_D_fake 0.009887
[496/5000][45/535][50911] Loss_D: -0.027814 Loss_G: -0.014300 Loss_D_real: 0.003868 Loss_D_fake 0.031682
[496/5000][50/535][50912] Loss_D: -0.027454 Loss_G: -0.003770 Loss_D_real: -0.007925 Loss_D_fake 0.019529
[496/5000][55/535][50913] Loss_D: -0.026374 Loss_G: 0.034051 Loss_D_real: -0.023539 Loss_D_fake 0.002835
[496/5000][60/535][50914] Loss_D: -0.027946 Loss_G: 0.004982 Loss_D_real: -0.011569 Loss_D_fake 0.016377
[496/5000][65/535][50915] Loss_D: -0.029076 Loss_G: 0.029331 Loss_D_real: -0.016854 Loss_D_fake 0.012223
[496/5000][70/535][50916] Loss_D: -0.026672 Loss_G: 0.017051 Loss_D_real: -0.012323 Loss_D_fake 0.014349
[496/5000][75/535][50917] Loss_D: -0.027259 Loss_G: 0.003084 Loss_D_real: -0.008905 Loss_D_fake 0.018354
[496/5000][80/535][50918] Loss_D: -0.027244 Loss_G: 0.017807 Loss_D_real: -0.028109 Loss_D_fake -0.000865
[496/5000][85/535][50919] Loss_D: -0.028568 Loss_G: 0.005253 Loss_D_real: -0.003852 Loss_D_fake 0.024715
[496/5000][90/535][50920] Loss_D: -0.025776 Loss_G: 0.006784 Loss_D_real: -0.014794 Loss_D_fake 0.010982
[496/5000][95/535][50921] Loss_D: -0.028015 Loss_G: 0.031325 Loss_D_real: -0.019472 Loss_D_fake 0.008543
[496/5000][100/535][50922] Loss_D: -0.026331 Loss_G: 0.024860 Loss_D_real: -0.025118 Loss_D_fake 0.001213
[496/5000][105/535][50923] Loss_D: -0.028091 Loss_G: 0.015424 Loss_D_real: -0.015258 Loss_D_fake 0.012832
[496/5000][110/535][50924] Loss_D: -0.025289 Loss_G: 0.030717 Loss_D_real: -0.036796 Loss_D_fake -0.011507
[496/5000][115/535][50925] Loss_D: -0.028068 Loss_G: 0.005602 Loss_D_real: -0.005551 Loss_D_fake 0.022517
[496/5000][120/535][50926] Loss_D: -0.027542 Loss_G: -0.011602 Loss_D_real: -0.008792 Loss_D_fake 0.018750
[496/5000][125/535][50927] Loss_D: -0.024595 Loss_G: 0.035634 Loss_D_real: -0.035892 Loss_D_fake -0.011298
[496/5000][130/535][50928] Loss_D: -0.026324 Loss_G: 0.004758 Loss_D_real: 0.000685 Loss_D_fake 0.027009
[496/5000][135/535][50929] Loss_D: -0.026478 Loss_G: 0.012624 Loss_D_real: -0.022452 Loss_D_fake 0.004026
[496/5000][140/535][50930] Loss_D: -0.024426 Loss_G: 0.039819 Loss_D_real: -0.028329 Loss_D_fake -0.003903
[496/5000][145/535][50931] Loss_D: -0.026851 Loss_G: 0.019067 Loss_D_real: -0.021749 Loss_D_fake 0.005102
[496/5000][150/535][50932] Loss_D: -0.025393 Loss_G: 0.028596 Loss_D_real: -0.036899 Loss_D_fake -0.011506
[496/5000][155/535][50933] Loss_D: -0.026218 Loss_G: 0.021783 Loss_D_real: -0.019560 Loss_D_fake 0.006658
[496/5000][160/535][50934] Loss_D: -0.027581 Loss_G: 0.008119 Loss_D_real: -0.010968 Loss_D_fake 0.016613
[496/5000][165/535][50935] Loss_D: -0.026785 Loss_G: 0.006401 Loss_D_real: -0.023809 Loss_D_fake 0.002976
[496/5000][170/535][50936] Loss_D: -0.027561 Loss_G: 0.000283 Loss_D_real: 0.000500 Loss_D_fake 0.028062
[496/5000][175/535][50937] Loss_D: -0.027742 Loss_G: 0.006237 Loss_D_real: -0.013080 Loss_D_fake 0.014663
[496/5000][180/535][50938] Loss_D: -0.028089 Loss_G: 0.011348 Loss_D_real: -0.018047 Loss_D_fake 0.010042
[496/5000][185/535][50939] Loss_D: -0.026975 Loss_G: 0.000556 Loss_D_real: -0.005021 Loss_D_fake 0.021954
[496/5000][190/535][50940] Loss_D: -0.024812 Loss_G: 0.028255 Loss_D_real: -0.038574 Loss_D_fake -0.013762
[496/5000][195/535][50941] Loss_D: -0.026893 Loss_G: 0.011646 Loss_D_real: -0.021799 Loss_D_fake 0.005093
[496/5000][200/535][50942] Loss_D: -0.026729 Loss_G: -0.002661 Loss_D_real: -0.004461 Loss_D_fake 0.022268
[496/5000][205/535][50943] Loss_D: -0.026970 Loss_G: 0.020209 Loss_D_real: -0.028653 Loss_D_fake -0.001683
[496/5000][210/535][50944] Loss_D: -0.028041 Loss_G: 0.019687 Loss_D_real: -0.015932 Loss_D_fake 0.012109
[496/5000][215/535][50945] Loss_D: -0.026463 Loss_G: 0.009663 Loss_D_real: -0.019708 Loss_D_fake 0.006755
[496/5000][220/535][50946] Loss_D: -0.025654 Loss_G: 0.032318 Loss_D_real: -0.035106 Loss_D_fake -0.009452
[496/5000][225/535][50947] Loss_D: -0.027455 Loss_G: 0.001645 Loss_D_real: -0.014159 Loss_D_fake 0.013296
[496/5000][230/535][50948] Loss_D: -0.025894 Loss_G: 0.036085 Loss_D_real: -0.038714 Loss_D_fake -0.012820
[496/5000][235/535][50949] Loss_D: -0.026453 Loss_G: 0.018497 Loss_D_real: -0.026040 Loss_D_fake 0.000413
[496/5000][240/535][50950] Loss_D: -0.026311 Loss_G: 0.028738 Loss_D_real: -0.022642 Loss_D_fake 0.003669
[496/5000][245/535][50951] Loss_D: -0.025818 Loss_G: 0.016034 Loss_D_real: -0.019853 Loss_D_fake 0.005965
[496/5000][250/535][50952] Loss_D: -0.025528 Loss_G: 0.018846 Loss_D_real: -0.011570 Loss_D_fake 0.013958
[496/5000][255/535][50953] Loss_D: -0.025501 Loss_G: -0.002333 Loss_D_real: 0.005480 Loss_D_fake 0.030980
[496/5000][260/535][50954] Loss_D: -0.025412 Loss_G: 0.028578 Loss_D_real: -0.027191 Loss_D_fake -0.001779
[496/5000][265/535][50955] Loss_D: -0.025728 Loss_G: 0.019509 Loss_D_real: -0.019942 Loss_D_fake 0.005786
[496/5000][270/535][50956] Loss_D: -0.026117 Loss_G: 0.029169 Loss_D_real: -0.028853 Loss_D_fake -0.002736
[496/5000][275/535][50957] Loss_D: -0.027029 Loss_G: 0.027003 Loss_D_real: -0.032435 Loss_D_fake -0.005406
[496/5000][280/535][50958] Loss_D: -0.026832 Loss_G: 0.022502 Loss_D_real: -0.028799 Loss_D_fake -0.001967
[496/5000][285/535][50959] Loss_D: -0.027071 Loss_G: -0.011944 Loss_D_real: 0.004010 Loss_D_fake 0.031081
[496/5000][290/535][50960] Loss_D: -0.025541 Loss_G: 0.034225 Loss_D_real: -0.035165 Loss_D_fake -0.009624
[496/5000][295/535][50961] Loss_D: -0.025016 Loss_G: 0.033471 Loss_D_real: -0.020235 Loss_D_fake 0.004781
[496/5000][300/535][50962] Loss_D: -0.026648 Loss_G: 0.018811 Loss_D_real: -0.015726 Loss_D_fake 0.010922
[496/5000][305/535][50963] Loss_D: -0.025673 Loss_G: 0.022608 Loss_D_real: -0.038013 Loss_D_fake -0.012340
[496/5000][310/535][50964] Loss_D: -0.026109 Loss_G: 0.013124 Loss_D_real: -0.014190 Loss_D_fake 0.011919
[496/5000][315/535][50965] Loss_D: -0.025456 Loss_G: 0.013426 Loss_D_real: -0.013509 Loss_D_fake 0.011947
[496/5000][320/535][50966] Loss_D: -0.025697 Loss_G: 0.020945 Loss_D_real: -0.023938 Loss_D_fake 0.001760
[496/5000][325/535][50967] Loss_D: -0.026963 Loss_G: -0.005637 Loss_D_real: -0.009796 Loss_D_fake 0.017166
[496/5000][330/535][50968] Loss_D: -0.026655 Loss_G: 0.021313 Loss_D_real: -0.018726 Loss_D_fake 0.007929
[496/5000][335/535][50969] Loss_D: -0.027253 Loss_G: 0.011280 Loss_D_real: -0.014631 Loss_D_fake 0.012623
[496/5000][340/535][50970] Loss_D: -0.026478 Loss_G: 0.018116 Loss_D_real: -0.026703 Loss_D_fake -0.000225
[496/5000][345/535][50971] Loss_D: -0.025000 Loss_G: 0.023258 Loss_D_real: -0.023999 Loss_D_fake 0.001001
[496/5000][350/535][50972] Loss_D: -0.025682 Loss_G: 0.012710 Loss_D_real: -0.016242 Loss_D_fake 0.009439
[496/5000][355/535][50973] Loss_D: -0.025656 Loss_G: 0.026992 Loss_D_real: -0.026204 Loss_D_fake -0.000548
[496/5000][360/535][50974] Loss_D: -0.025384 Loss_G: -0.006394 Loss_D_real: -0.001622 Loss_D_fake 0.023762
[496/5000][365/535][50975] Loss_D: -0.025960 Loss_G: 0.020494 Loss_D_real: -0.023979 Loss_D_fake 0.001981
[496/5000][370/535][50976] Loss_D: -0.026774 Loss_G: 0.021016 Loss_D_real: -0.030032 Loss_D_fake -0.003258
[496/5000][375/535][50977] Loss_D: -0.024816 Loss_G: 0.018807 Loss_D_real: -0.016592 Loss_D_fake 0.008224
[496/5000][380/535][50978] Loss_D: -0.025193 Loss_G: 0.036168 Loss_D_real: -0.033240 Loss_D_fake -0.008047
[496/5000][385/535][50979] Loss_D: -0.027181 Loss_G: 0.022005 Loss_D_real: -0.016638 Loss_D_fake 0.010543
[496/5000][390/535][50980] Loss_D: -0.026926 Loss_G: 0.000012 Loss_D_real: -0.004130 Loss_D_fake 0.022797
[496/5000][395/535][50981] Loss_D: -0.026261 Loss_G: 0.023212 Loss_D_real: -0.029713 Loss_D_fake -0.003452
[496/5000][400/535][50982] Loss_D: -0.027077 Loss_G: 0.006107 Loss_D_real: -0.010919 Loss_D_fake 0.016157
[496/5000][405/535][50983] Loss_D: -0.026371 Loss_G: 0.037018 Loss_D_real: -0.034178 Loss_D_fake -0.007808
[496/5000][410/535][50984] Loss_D: -0.027229 Loss_G: 0.004217 Loss_D_real: -0.005733 Loss_D_fake 0.021496
[496/5000][415/535][50985] Loss_D: -0.027427 Loss_G: 0.028469 Loss_D_real: -0.041196 Loss_D_fake -0.013769
[496/5000][420/535][50986] Loss_D: -0.025427 Loss_G: 0.025430 Loss_D_real: -0.027562 Loss_D_fake -0.002135
[496/5000][425/535][50987] Loss_D: -0.026497 Loss_G: -0.014984 Loss_D_real: 0.004818 Loss_D_fake 0.031316
[496/5000][430/535][50988] Loss_D: -0.024980 Loss_G: 0.008805 Loss_D_real: -0.015525 Loss_D_fake 0.009455
[496/5000][435/535][50989] Loss_D: -0.025715 Loss_G: -0.003793 Loss_D_real: -0.013036 Loss_D_fake 0.012679
[496/5000][440/535][50990] Loss_D: -0.025103 Loss_G: 0.017154 Loss_D_real: -0.012813 Loss_D_fake 0.012290
[496/5000][445/535][50991] Loss_D: -0.027751 Loss_G: 0.014057 Loss_D_real: -0.023404 Loss_D_fake 0.004347
[496/5000][450/535][50992] Loss_D: -0.029535 Loss_G: 0.020202 Loss_D_real: -0.019035 Loss_D_fake 0.010500
[496/5000][455/535][50993] Loss_D: -0.026011 Loss_G: 0.001917 Loss_D_real: -0.015849 Loss_D_fake 0.010162
[496/5000][460/535][50994] Loss_D: -0.027471 Loss_G: -0.003431 Loss_D_real: -0.007078 Loss_D_fake 0.020393
[496/5000][465/535][50995] Loss_D: -0.025022 Loss_G: 0.028853 Loss_D_real: -0.034414 Loss_D_fake -0.009392
[496/5000][470/535][50996] Loss_D: -0.027086 Loss_G: -0.001173 Loss_D_real: 0.002318 Loss_D_fake 0.029404
[496/5000][475/535][50997] Loss_D: -0.027321 Loss_G: 0.005438 Loss_D_real: -0.010293 Loss_D_fake 0.017028
[496/5000][480/535][50998] Loss_D: -0.026326 Loss_G: 0.029212 Loss_D_real: -0.020184 Loss_D_fake 0.006141
[496/5000][485/535][50999] Loss_D: -0.025995 Loss_G: 0.012291 Loss_D_real: -0.008858 Loss_D_fake 0.017137
[496/5000][490/535][51000] Loss_D: -0.026929 Loss_G: 0.016545 Loss_D_real: -0.025102 Loss_D_fake 0.001827
[496/5000][535/535][51001] Loss_D: -0.031324 Loss_G: 0.012121 Loss_D_real: -0.015170 Loss_D_fake 0.016153
[497/5000][5/535][51002] Loss_D: -0.029615 Loss_G: 0.000534 Loss_D_real: -0.012597 Loss_D_fake 0.017018
[497/5000][10/535][51003] Loss_D: -0.025536 Loss_G: 0.018230 Loss_D_real: -0.021423 Loss_D_fake 0.004113
[497/5000][15/535][51004] Loss_D: -0.027750 Loss_G: 0.010820 Loss_D_real: -0.013201 Loss_D_fake 0.014548
[497/5000][20/535][51005] Loss_D: -0.025955 Loss_G: 0.013852 Loss_D_real: -0.021782 Loss_D_fake 0.004173
[497/5000][25/535][51006] Loss_D: -0.027368 Loss_G: 0.022969 Loss_D_real: -0.020423 Loss_D_fake 0.006946
[497/5000][30/535][51007] Loss_D: -0.027147 Loss_G: 0.000990 Loss_D_real: -0.009039 Loss_D_fake 0.018108
[497/5000][35/535][51008] Loss_D: -0.027954 Loss_G: 0.008078 Loss_D_real: -0.009114 Loss_D_fake 0.018839
[497/5000][40/535][51009] Loss_D: -0.026431 Loss_G: 0.016322 Loss_D_real: -0.019929 Loss_D_fake 0.006501
[497/5000][45/535][51010] Loss_D: -0.026839 Loss_G: 0.019147 Loss_D_real: -0.020538 Loss_D_fake 0.006301
[497/5000][50/535][51011] Loss_D: -0.026771 Loss_G: 0.021197 Loss_D_real: -0.023647 Loss_D_fake 0.003124
[497/5000][55/535][51012] Loss_D: -0.027969 Loss_G: 0.005658 Loss_D_real: -0.022757 Loss_D_fake 0.005211
[497/5000][60/535][51013] Loss_D: -0.026017 Loss_G: 0.005061 Loss_D_real: -0.001973 Loss_D_fake 0.024043
[497/5000][65/535][51014] Loss_D: -0.026819 Loss_G: 0.024613 Loss_D_real: -0.018449 Loss_D_fake 0.008371
[497/5000][70/535][51015] Loss_D: -0.027533 Loss_G: 0.006222 Loss_D_real: -0.006210 Loss_D_fake 0.021323
[497/5000][75/535][51016] Loss_D: -0.026369 Loss_G: 0.023231 Loss_D_real: -0.011811 Loss_D_fake 0.014557
[497/5000][80/535][51017] Loss_D: -0.025932 Loss_G: 0.002688 Loss_D_real: -0.009300 Loss_D_fake 0.016631
[497/5000][85/535][51018] Loss_D: -0.026481 Loss_G: 0.034649 Loss_D_real: -0.035306 Loss_D_fake -0.008825
[497/5000][90/535][51019] Loss_D: -0.026874 Loss_G: 0.003449 Loss_D_real: -0.005000 Loss_D_fake 0.021874
[497/5000][95/535][51020] Loss_D: -0.026930 Loss_G: 0.035649 Loss_D_real: -0.021034 Loss_D_fake 0.005896
[497/5000][100/535][51021] Loss_D: -0.026805 Loss_G: 0.004303 Loss_D_real: -0.010003 Loss_D_fake 0.016802
[497/5000][105/535][51022] Loss_D: -0.026852 Loss_G: 0.002190 Loss_D_real: -0.011697 Loss_D_fake 0.015155
[497/5000][110/535][51023] Loss_D: -0.025633 Loss_G: -0.000183 Loss_D_real: -0.013501 Loss_D_fake 0.012132
[497/5000][115/535][51024] Loss_D: -0.026827 Loss_G: 0.029101 Loss_D_real: -0.034705 Loss_D_fake -0.007878
[497/5000][120/535][51025] Loss_D: -0.025517 Loss_G: 0.019492 Loss_D_real: -0.023114 Loss_D_fake 0.002403
[497/5000][125/535][51026] Loss_D: -0.027338 Loss_G: 0.017243 Loss_D_real: -0.025843 Loss_D_fake 0.001494
[497/5000][130/535][51027] Loss_D: -0.026516 Loss_G: 0.018279 Loss_D_real: -0.030577 Loss_D_fake -0.004061
[497/5000][135/535][51028] Loss_D: -0.027844 Loss_G: 0.016844 Loss_D_real: -0.012610 Loss_D_fake 0.015234
[497/5000][140/535][51029] Loss_D: -0.027165 Loss_G: 0.011518 Loss_D_real: -0.015929 Loss_D_fake 0.011236
[497/5000][145/535][51030] Loss_D: -0.026574 Loss_G: 0.029778 Loss_D_real: -0.016727 Loss_D_fake 0.009847
[497/5000][150/535][51031] Loss_D: -0.022728 Loss_G: 0.038851 Loss_D_real: -0.038066 Loss_D_fake -0.015338
[497/5000][155/535][51032] Loss_D: -0.026385 Loss_G: 0.017753 Loss_D_real: -0.022025 Loss_D_fake 0.004360
[497/5000][160/535][51033] Loss_D: -0.026086 Loss_G: 0.017504 Loss_D_real: -0.009076 Loss_D_fake 0.017011
[497/5000][165/535][51034] Loss_D: -0.026741 Loss_G: 0.015926 Loss_D_real: -0.020041 Loss_D_fake 0.006700
[497/5000][170/535][51035] Loss_D: -0.026721 Loss_G: 0.014619 Loss_D_real: -0.011734 Loss_D_fake 0.014987
[497/5000][175/535][51036] Loss_D: -0.026528 Loss_G: 0.016390 Loss_D_real: -0.025474 Loss_D_fake 0.001054
[497/5000][180/535][51037] Loss_D: -0.025901 Loss_G: 0.032221 Loss_D_real: -0.035416 Loss_D_fake -0.009515
[497/5000][185/535][51038] Loss_D: -0.026988 Loss_G: 0.013616 Loss_D_real: -0.019952 Loss_D_fake 0.007036
[497/5000][190/535][51039] Loss_D: -0.027175 Loss_G: 0.009753 Loss_D_real: -0.013397 Loss_D_fake 0.013778
[497/5000][195/535][51040] Loss_D: -0.026501 Loss_G: 0.008583 Loss_D_real: -0.023847 Loss_D_fake 0.002655
[497/5000][200/535][51041] Loss_D: -0.025795 Loss_G: 0.010971 Loss_D_real: -0.013149 Loss_D_fake 0.012646
[497/5000][205/535][51042] Loss_D: -0.026438 Loss_G: 0.027074 Loss_D_real: -0.029414 Loss_D_fake -0.002976
[497/5000][210/535][51043] Loss_D: -0.026019 Loss_G: 0.018445 Loss_D_real: -0.028761 Loss_D_fake -0.002742
[497/5000][215/535][51044] Loss_D: -0.027052 Loss_G: 0.021190 Loss_D_real: -0.028832 Loss_D_fake -0.001780
[497/5000][220/535][51045] Loss_D: -0.026430 Loss_G: 0.004161 Loss_D_real: -0.010543 Loss_D_fake 0.015887
[497/5000][225/535][51046] Loss_D: -0.025655 Loss_G: 0.009097 Loss_D_real: 0.000833 Loss_D_fake 0.026488
[497/5000][230/535][51047] Loss_D: -0.026071 Loss_G: 0.025586 Loss_D_real: -0.023056 Loss_D_fake 0.003015
[497/5000][235/535][51048] Loss_D: -0.025672 Loss_G: -0.003208 Loss_D_real: -0.005583 Loss_D_fake 0.020089
[497/5000][240/535][51049] Loss_D: -0.028162 Loss_G: 0.023595 Loss_D_real: -0.017607 Loss_D_fake 0.010555
[497/5000][245/535][51050] Loss_D: -0.027098 Loss_G: 0.009556 Loss_D_real: -0.002422 Loss_D_fake 0.024676
[497/5000][250/535][51051] Loss_D: -0.025758 Loss_G: 0.007815 Loss_D_real: -0.017870 Loss_D_fake 0.007887
[497/5000][255/535][51052] Loss_D: -0.026279 Loss_G: -0.008296 Loss_D_real: -0.000954 Loss_D_fake 0.025325
[497/5000][260/535][51053] Loss_D: -0.025721 Loss_G: -0.002574 Loss_D_real: -0.019424 Loss_D_fake 0.006298
[497/5000][265/535][51054] Loss_D: -0.027924 Loss_G: 0.008744 Loss_D_real: -0.009849 Loss_D_fake 0.018076
[497/5000][270/535][51055] Loss_D: -0.025650 Loss_G: 0.032012 Loss_D_real: -0.024270 Loss_D_fake 0.001380
[497/5000][275/535][51056] Loss_D: -0.024952 Loss_G: -0.006734 Loss_D_real: 0.005622 Loss_D_fake 0.030574
[497/5000][280/535][51057] Loss_D: -0.026692 Loss_G: 0.020653 Loss_D_real: -0.020827 Loss_D_fake 0.005864
[497/5000][285/535][51058] Loss_D: -0.025780 Loss_G: -0.002723 Loss_D_real: -0.002237 Loss_D_fake 0.023543
[497/5000][290/535][51059] Loss_D: -0.027990 Loss_G: 0.018565 Loss_D_real: -0.017016 Loss_D_fake 0.010974
[497/5000][295/535][51060] Loss_D: -0.025507 Loss_G: 0.035652 Loss_D_real: -0.036124 Loss_D_fake -0.010617
[497/5000][300/535][51061] Loss_D: -0.027237 Loss_G: -0.003751 Loss_D_real: -0.014361 Loss_D_fake 0.012876
[497/5000][305/535][51062] Loss_D: -0.027039 Loss_G: 0.023557 Loss_D_real: -0.020051 Loss_D_fake 0.006988
[497/5000][310/535][51063] Loss_D: -0.026629 Loss_G: 0.007530 Loss_D_real: -0.010344 Loss_D_fake 0.016286
[497/5000][315/535][51064] Loss_D: -0.024759 Loss_G: -0.000546 Loss_D_real: 0.000610 Loss_D_fake 0.025369
[497/5000][320/535][51065] Loss_D: -0.026628 Loss_G: 0.028550 Loss_D_real: -0.019654 Loss_D_fake 0.006974
[497/5000][325/535][51066] Loss_D: -0.027725 Loss_G: 0.002170 Loss_D_real: -0.013239 Loss_D_fake 0.014485
[497/5000][330/535][51067] Loss_D: -0.026220 Loss_G: 0.014027 Loss_D_real: -0.020876 Loss_D_fake 0.005344
[497/5000][335/535][51068] Loss_D: -0.028248 Loss_G: 0.021389 Loss_D_real: -0.018914 Loss_D_fake 0.009334
[497/5000][340/535][51069] Loss_D: -0.027094 Loss_G: 0.011927 Loss_D_real: -0.008965 Loss_D_fake 0.018128
[497/5000][345/535][51070] Loss_D: -0.028199 Loss_G: 0.012476 Loss_D_real: -0.011095 Loss_D_fake 0.017104
[497/5000][350/535][51071] Loss_D: -0.026992 Loss_G: 0.019292 Loss_D_real: -0.026166 Loss_D_fake 0.000826
[497/5000][355/535][51072] Loss_D: -0.026740 Loss_G: -0.001083 Loss_D_real: -0.006743 Loss_D_fake 0.019997
[497/5000][360/535][51073] Loss_D: -0.025513 Loss_G: 0.008385 Loss_D_real: -0.008371 Loss_D_fake 0.017142
[497/5000][365/535][51074] Loss_D: -0.025277 Loss_G: 0.021192 Loss_D_real: -0.028001 Loss_D_fake -0.002724
[497/5000][370/535][51075] Loss_D: -0.025564 Loss_G: 0.018348 Loss_D_real: -0.023537 Loss_D_fake 0.002026
[497/5000][375/535][51076] Loss_D: -0.027063 Loss_G: 0.034144 Loss_D_real: -0.029508 Loss_D_fake -0.002445
[497/5000][380/535][51077] Loss_D: -0.026771 Loss_G: -0.014001 Loss_D_real: -0.000960 Loss_D_fake 0.025811
[497/5000][385/535][51078] Loss_D: -0.026487 Loss_G: 0.031639 Loss_D_real: -0.028323 Loss_D_fake -0.001835
[497/5000][390/535][51079] Loss_D: -0.026877 Loss_G: -0.000091 Loss_D_real: -0.005273 Loss_D_fake 0.021604
[497/5000][395/535][51080] Loss_D: -0.025260 Loss_G: 0.037864 Loss_D_real: -0.030167 Loss_D_fake -0.004908
[497/5000][400/535][51081] Loss_D: -0.025733 Loss_G: -0.013852 Loss_D_real: -0.004173 Loss_D_fake 0.021560
[497/5000][405/535][51082] Loss_D: -0.026318 Loss_G: 0.001172 Loss_D_real: -0.005367 Loss_D_fake 0.020952
[497/5000][410/535][51083] Loss_D: -0.026275 Loss_G: 0.025670 Loss_D_real: -0.031528 Loss_D_fake -0.005253
[497/5000][415/535][51084] Loss_D: -0.026771 Loss_G: 0.013540 Loss_D_real: -0.007421 Loss_D_fake 0.019350
[497/5000][420/535][51085] Loss_D: -0.025175 Loss_G: -0.012082 Loss_D_real: 0.003889 Loss_D_fake 0.029064
[497/5000][425/535][51086] Loss_D: -0.026449 Loss_G: 0.024525 Loss_D_real: -0.021207 Loss_D_fake 0.005242
[497/5000][430/535][51087] Loss_D: -0.027095 Loss_G: 0.028435 Loss_D_real: -0.028783 Loss_D_fake -0.001688
[497/5000][435/535][51088] Loss_D: -0.027411 Loss_G: 0.018986 Loss_D_real: -0.014547 Loss_D_fake 0.012865
[497/5000][440/535][51089] Loss_D: -0.027728 Loss_G: 0.009783 Loss_D_real: -0.011386 Loss_D_fake 0.016342
[497/5000][445/535][51090] Loss_D: -0.027071 Loss_G: 0.003161 Loss_D_real: -0.006215 Loss_D_fake 0.020856
[497/5000][450/535][51091] Loss_D: -0.027125 Loss_G: 0.001191 Loss_D_real: -0.008102 Loss_D_fake 0.019023
[497/5000][455/535][51092] Loss_D: -0.025311 Loss_G: 0.035783 Loss_D_real: -0.039021 Loss_D_fake -0.013710
[497/5000][460/535][51093] Loss_D: -0.029446 Loss_G: 0.005805 Loss_D_real: -0.007259 Loss_D_fake 0.022187
[497/5000][465/535][51094] Loss_D: -0.026752 Loss_G: 0.021913 Loss_D_real: -0.025562 Loss_D_fake 0.001189
[497/5000][470/535][51095] Loss_D: -0.027748 Loss_G: 0.016828 Loss_D_real: -0.022224 Loss_D_fake 0.005525
[497/5000][475/535][51096] Loss_D: -0.025990 Loss_G: -0.013553 Loss_D_real: -0.005868 Loss_D_fake 0.020122
[497/5000][480/535][51097] Loss_D: -0.025994 Loss_G: 0.026085 Loss_D_real: -0.031332 Loss_D_fake -0.005338
[497/5000][485/535][51098] Loss_D: -0.026177 Loss_G: 0.015044 Loss_D_real: -0.019500 Loss_D_fake 0.006677
[497/5000][490/535][51099] Loss_D: -0.026681 Loss_G: 0.006279 Loss_D_real: -0.011939 Loss_D_fake 0.014743
[497/5000][495/535][51100] Loss_D: -0.026428 Loss_G: 0.023415 Loss_D_real: -0.024181 Loss_D_fake 0.002246
[497/5000][500/535][51101] Loss_D: -0.027102 Loss_G: -0.013325 Loss_D_real: -0.000875 Loss_D_fake 0.026227
[497/5000][505/535][51102] Loss_D: -0.025477 Loss_G: 0.022051 Loss_D_real: -0.022710 Loss_D_fake 0.002767
[497/5000][510/535][51103] Loss_D: -0.026176 Loss_G: 0.022951 Loss_D_real: -0.018635 Loss_D_fake 0.007541
[497/5000][515/535][51104] Loss_D: -0.026402 Loss_G: 0.004355 Loss_D_real: -0.013905 Loss_D_fake 0.012497
[497/5000][520/535][51105] Loss_D: -0.026157 Loss_G: 0.007979 Loss_D_real: -0.014117 Loss_D_fake 0.012040
[497/5000][525/535][51106] Loss_D: -0.027530 Loss_G: 0.009286 Loss_D_real: -0.019568 Loss_D_fake 0.007962
[497/5000][530/535][51107] Loss_D: -0.025995 Loss_G: 0.013381 Loss_D_real: -0.017762 Loss_D_fake 0.008233
[497/5000][535/535][51108] Loss_D: -0.027278 Loss_G: 0.048857 Loss_D_real: -0.029257 Loss_D_fake -0.001979
[498/5000][5/535][51109] Loss_D: -0.026002 Loss_G: -0.006849 Loss_D_real: -0.004951 Loss_D_fake 0.021051
[498/5000][10/535][51110] Loss_D: -0.026170 Loss_G: 0.020049 Loss_D_real: -0.010012 Loss_D_fake 0.016158
[498/5000][15/535][51111] Loss_D: -0.027065 Loss_G: 0.012933 Loss_D_real: -0.021668 Loss_D_fake 0.005397
[498/5000][20/535][51112] Loss_D: -0.026161 Loss_G: -0.005911 Loss_D_real: -0.009072 Loss_D_fake 0.017088
[498/5000][25/535][51113] Loss_D: -0.025936 Loss_G: 0.009961 Loss_D_real: -0.019479 Loss_D_fake 0.006456
[498/5000][30/535][51114] Loss_D: -0.025845 Loss_G: 0.006787 Loss_D_real: -0.007492 Loss_D_fake 0.018353
[498/5000][35/535][51115] Loss_D: -0.024857 Loss_G: 0.033068 Loss_D_real: -0.030870 Loss_D_fake -0.006013
[498/5000][40/535][51116] Loss_D: -0.025980 Loss_G: -0.007083 Loss_D_real: -0.015353 Loss_D_fake 0.010626
[498/5000][45/535][51117] Loss_D: -0.025995 Loss_G: 0.025053 Loss_D_real: -0.024785 Loss_D_fake 0.001209
[498/5000][50/535][51118] Loss_D: -0.027342 Loss_G: 0.023867 Loss_D_real: -0.017220 Loss_D_fake 0.010122
[498/5000][55/535][51119] Loss_D: -0.027037 Loss_G: 0.004536 Loss_D_real: -0.015210 Loss_D_fake 0.011827
[498/5000][60/535][51120] Loss_D: -0.025696 Loss_G: 0.031861 Loss_D_real: -0.034777 Loss_D_fake -0.009081
[498/5000][65/535][51121] Loss_D: -0.026563 Loss_G: -0.010908 Loss_D_real: -0.004754 Loss_D_fake 0.021809
[498/5000][70/535][51122] Loss_D: -0.026999 Loss_G: 0.022005 Loss_D_real: -0.030359 Loss_D_fake -0.003361
[498/5000][75/535][51123] Loss_D: -0.027055 Loss_G: 0.025238 Loss_D_real: -0.027663 Loss_D_fake -0.000607
[498/5000][80/535][51124] Loss_D: -0.026491 Loss_G: 0.006312 Loss_D_real: -0.009596 Loss_D_fake 0.016894
[498/5000][85/535][51125] Loss_D: -0.026388 Loss_G: 0.006460 Loss_D_real: -0.013928 Loss_D_fake 0.012460
[498/5000][90/535][51126] Loss_D: -0.026233 Loss_G: 0.009201 Loss_D_real: -0.015845 Loss_D_fake 0.010388
[498/5000][95/535][51127] Loss_D: -0.025685 Loss_G: 0.026161 Loss_D_real: -0.023197 Loss_D_fake 0.002488
[498/5000][100/535][51128] Loss_D: -0.025305 Loss_G: -0.009628 Loss_D_real: 0.003723 Loss_D_fake 0.029028
[498/5000][105/535][51129] Loss_D: -0.026406 Loss_G: 0.009064 Loss_D_real: -0.014524 Loss_D_fake 0.011882
[498/5000][110/535][51130] Loss_D: -0.024980 Loss_G: 0.000344 Loss_D_real: -0.011132 Loss_D_fake 0.013848
[498/5000][115/535][51131] Loss_D: -0.025716 Loss_G: 0.002013 Loss_D_real: -0.002633 Loss_D_fake 0.023083
[498/5000][120/535][51132] Loss_D: -0.025849 Loss_G: 0.011291 Loss_D_real: -0.014149 Loss_D_fake 0.011700
[498/5000][125/535][51133] Loss_D: -0.025825 Loss_G: 0.018654 Loss_D_real: -0.018345 Loss_D_fake 0.007481
[498/5000][130/535][51134] Loss_D: -0.026277 Loss_G: 0.002469 Loss_D_real: -0.004199 Loss_D_fake 0.022078
[498/5000][135/535][51135] Loss_D: -0.026476 Loss_G: 0.010483 Loss_D_real: -0.014813 Loss_D_fake 0.011663
[498/5000][140/535][51136] Loss_D: -0.027068 Loss_G: 0.017343 Loss_D_real: -0.015792 Loss_D_fake 0.011276
[498/5000][145/535][51137] Loss_D: -0.027222 Loss_G: 0.028633 Loss_D_real: -0.023397 Loss_D_fake 0.003824
[498/5000][150/535][51138] Loss_D: -0.025773 Loss_G: 0.031943 Loss_D_real: -0.037238 Loss_D_fake -0.011464
[498/5000][155/535][51139] Loss_D: -0.027417 Loss_G: -0.007306 Loss_D_real: 0.003129 Loss_D_fake 0.030546
[498/5000][160/535][51140] Loss_D: -0.026065 Loss_G: 0.031841 Loss_D_real: -0.028568 Loss_D_fake -0.002503
[498/5000][165/535][51141] Loss_D: -0.027323 Loss_G: 0.007669 Loss_D_real: -0.010449 Loss_D_fake 0.016874
[498/5000][170/535][51142] Loss_D: -0.028152 Loss_G: 0.004038 Loss_D_real: -0.011042 Loss_D_fake 0.017110
[498/5000][175/535][51143] Loss_D: -0.028413 Loss_G: 0.022857 Loss_D_real: -0.028069 Loss_D_fake 0.000343
[498/5000][180/535][51144] Loss_D: -0.027093 Loss_G: 0.028909 Loss_D_real: -0.025146 Loss_D_fake 0.001947
[498/5000][185/535][51145] Loss_D: -0.027586 Loss_G: 0.018346 Loss_D_real: -0.015927 Loss_D_fake 0.011660
[498/5000][190/535][51146] Loss_D: -0.026698 Loss_G: 0.039229 Loss_D_real: -0.030696 Loss_D_fake -0.003998
[498/5000][195/535][51147] Loss_D: -0.027454 Loss_G: 0.027693 Loss_D_real: -0.024898 Loss_D_fake 0.002555
[498/5000][200/535][51148] Loss_D: -0.027697 Loss_G: -0.000873 Loss_D_real: -0.006012 Loss_D_fake 0.021685
[498/5000][205/535][51149] Loss_D: -0.028077 Loss_G: 0.010627 Loss_D_real: -0.014481 Loss_D_fake 0.013595
[498/5000][210/535][51150] Loss_D: -0.026800 Loss_G: 0.029372 Loss_D_real: -0.021968 Loss_D_fake 0.004832
[498/5000][215/535][51151] Loss_D: -0.026694 Loss_G: 0.013487 Loss_D_real: -0.011656 Loss_D_fake 0.015038
[498/5000][220/535][51152] Loss_D: -0.026851 Loss_G: 0.009553 Loss_D_real: -0.006415 Loss_D_fake 0.020437
[498/5000][225/535][51153] Loss_D: -0.026863 Loss_G: 0.015921 Loss_D_real: -0.015526 Loss_D_fake 0.011336
[498/5000][230/535][51154] Loss_D: -0.027661 Loss_G: 0.023901 Loss_D_real: -0.026896 Loss_D_fake 0.000765
[498/5000][235/535][51155] Loss_D: -0.025102 Loss_G: 0.039159 Loss_D_real: -0.041547 Loss_D_fake -0.016444
[498/5000][240/535][51156] Loss_D: -0.027035 Loss_G: 0.024834 Loss_D_real: -0.026711 Loss_D_fake 0.000325
[498/5000][245/535][51157] Loss_D: -0.027529 Loss_G: 0.027592 Loss_D_real: -0.010396 Loss_D_fake 0.017134
[498/5000][250/535][51158] Loss_D: -0.025608 Loss_G: -0.000017 Loss_D_real: -0.006370 Loss_D_fake 0.019238
[498/5000][255/535][51159] Loss_D: -0.025614 Loss_G: 0.014096 Loss_D_real: -0.024287 Loss_D_fake 0.001327
[498/5000][260/535][51160] Loss_D: -0.025825 Loss_G: -0.016734 Loss_D_real: 0.005449 Loss_D_fake 0.031274
[498/5000][265/535][51161] Loss_D: -0.025004 Loss_G: 0.002673 Loss_D_real: -0.014130 Loss_D_fake 0.010874
[498/5000][270/535][51162] Loss_D: -0.026831 Loss_G: 0.012728 Loss_D_real: -0.011151 Loss_D_fake 0.015681
[498/5000][275/535][51163] Loss_D: -0.027676 Loss_G: 0.009645 Loss_D_real: -0.012474 Loss_D_fake 0.015203
[498/5000][280/535][51164] Loss_D: -0.026491 Loss_G: 0.030037 Loss_D_real: -0.024239 Loss_D_fake 0.002252
[498/5000][285/535][51165] Loss_D: -0.027734 Loss_G: 0.021978 Loss_D_real: -0.021230 Loss_D_fake 0.006504
[498/5000][290/535][51166] Loss_D: -0.025751 Loss_G: 0.043130 Loss_D_real: -0.033609 Loss_D_fake -0.007858
[498/5000][295/535][51167] Loss_D: -0.028345 Loss_G: 0.003711 Loss_D_real: -0.013604 Loss_D_fake 0.014741
[498/5000][300/535][51168] Loss_D: -0.026040 Loss_G: -0.000013 Loss_D_real: -0.014439 Loss_D_fake 0.011601
[498/5000][305/535][51169] Loss_D: -0.027465 Loss_G: -0.000407 Loss_D_real: -0.015069 Loss_D_fake 0.012396
[498/5000][310/535][51170] Loss_D: -0.026230 Loss_G: 0.029350 Loss_D_real: -0.020464 Loss_D_fake 0.005766
[498/5000][315/535][51171] Loss_D: -0.027429 Loss_G: 0.021054 Loss_D_real: -0.015868 Loss_D_fake 0.011562
[498/5000][320/535][51172] Loss_D: -0.027257 Loss_G: 0.009070 Loss_D_real: -0.001196 Loss_D_fake 0.026061
[498/5000][325/535][51173] Loss_D: -0.027713 Loss_G: 0.024343 Loss_D_real: -0.016293 Loss_D_fake 0.011420
[498/5000][330/535][51174] Loss_D: -0.026176 Loss_G: 0.019824 Loss_D_real: -0.009191 Loss_D_fake 0.016986
[498/5000][335/535][51175] Loss_D: -0.026594 Loss_G: 0.025152 Loss_D_real: -0.022101 Loss_D_fake 0.004493
[498/5000][340/535][51176] Loss_D: -0.027512 Loss_G: 0.016766 Loss_D_real: -0.016356 Loss_D_fake 0.011156
[498/5000][345/535][51177] Loss_D: -0.026041 Loss_G: 0.022704 Loss_D_real: -0.023424 Loss_D_fake 0.002618
[498/5000][350/535][51178] Loss_D: -0.026604 Loss_G: 0.019941 Loss_D_real: -0.022248 Loss_D_fake 0.004356
[498/5000][355/535][51179] Loss_D: -0.024692 Loss_G: -0.003977 Loss_D_real: 0.004498 Loss_D_fake 0.029190
[498/5000][360/535][51180] Loss_D: -0.026435 Loss_G: 0.015102 Loss_D_real: -0.024217 Loss_D_fake 0.002218
[498/5000][365/535][51181] Loss_D: -0.026448 Loss_G: 0.013958 Loss_D_real: -0.027321 Loss_D_fake -0.000873
[498/5000][370/535][51182] Loss_D: -0.026386 Loss_G: 0.020927 Loss_D_real: -0.022231 Loss_D_fake 0.004154
[498/5000][375/535][51183] Loss_D: -0.026551 Loss_G: 0.001860 Loss_D_real: -0.006578 Loss_D_fake 0.019974
[498/5000][380/535][51184] Loss_D: -0.027914 Loss_G: 0.010194 Loss_D_real: -0.014713 Loss_D_fake 0.013201
[498/5000][385/535][51185] Loss_D: -0.027904 Loss_G: 0.027781 Loss_D_real: -0.029514 Loss_D_fake -0.001610
[498/5000][390/535][51186] Loss_D: -0.026858 Loss_G: 0.040261 Loss_D_real: -0.026591 Loss_D_fake 0.000267
[498/5000][395/535][51187] Loss_D: -0.025132 Loss_G: -0.009917 Loss_D_real: 0.005042 Loss_D_fake 0.030174
[498/5000][400/535][51188] Loss_D: -0.024749 Loss_G: 0.029461 Loss_D_real: -0.023235 Loss_D_fake 0.001514
[498/5000][405/535][51189] Loss_D: -0.027542 Loss_G: 0.007041 Loss_D_real: -0.017945 Loss_D_fake 0.009597
[498/5000][410/535][51190] Loss_D: -0.025991 Loss_G: -0.005283 Loss_D_real: 0.003054 Loss_D_fake 0.029045
[498/5000][415/535][51191] Loss_D: -0.027481 Loss_G: 0.008613 Loss_D_real: -0.013941 Loss_D_fake 0.013541
[498/5000][420/535][51192] Loss_D: -0.026237 Loss_G: 0.025431 Loss_D_real: -0.030044 Loss_D_fake -0.003807
[498/5000][425/535][51193] Loss_D: -0.026460 Loss_G: 0.039192 Loss_D_real: -0.031524 Loss_D_fake -0.005064
[498/5000][430/535][51194] Loss_D: -0.026399 Loss_G: 0.014010 Loss_D_real: -0.011853 Loss_D_fake 0.014546
[498/5000][435/535][51195] Loss_D: -0.026349 Loss_G: 0.009357 Loss_D_real: -0.016464 Loss_D_fake 0.009885
[498/5000][440/535][51196] Loss_D: -0.025466 Loss_G: -0.009674 Loss_D_real: -0.002508 Loss_D_fake 0.022958
[498/5000][445/535][51197] Loss_D: -0.025304 Loss_G: 0.016325 Loss_D_real: -0.020114 Loss_D_fake 0.005189
[498/5000][450/535][51198] Loss_D: -0.024141 Loss_G: -0.004467 Loss_D_real: -0.001039 Loss_D_fake 0.023103
[498/5000][455/535][51199] Loss_D: -0.024369 Loss_G: 0.024281 Loss_D_real: -0.019508 Loss_D_fake 0.004861
[498/5000][460/535][51200] Loss_D: -0.025776 Loss_G: 0.019411 Loss_D_real: -0.020315 Loss_D_fake 0.005462
[498/5000][465/535][51201] Loss_D: -0.026480 Loss_G: 0.039605 Loss_D_real: -0.037660 Loss_D_fake -0.011180
[498/5000][470/535][51202] Loss_D: -0.027225 Loss_G: 0.020649 Loss_D_real: -0.019562 Loss_D_fake 0.007663
[498/5000][475/535][51203] Loss_D: -0.025168 Loss_G: 0.035805 Loss_D_real: -0.039842 Loss_D_fake -0.014673
[498/5000][480/535][51204] Loss_D: -0.027197 Loss_G: 0.011681 Loss_D_real: -0.011347 Loss_D_fake 0.015850
[498/5000][485/535][51205] Loss_D: -0.026001 Loss_G: 0.025723 Loss_D_real: -0.038218 Loss_D_fake -0.012217
[498/5000][490/535][51206] Loss_D: -0.026150 Loss_G: 0.039167 Loss_D_real: -0.030933 Loss_D_fake -0.004784
[498/5000][495/535][51207] Loss_D: -0.027562 Loss_G: 0.000062 Loss_D_real: -0.000632 Loss_D_fake 0.026930
[498/5000][500/535][51208] Loss_D: -0.025886 Loss_G: 0.002291 Loss_D_real: -0.014010 Loss_D_fake 0.011876
[498/5000][505/535][51209] Loss_D: -0.027139 Loss_G: 0.021215 Loss_D_real: -0.025684 Loss_D_fake 0.001455
[498/5000][510/535][51210] Loss_D: -0.026211 Loss_G: -0.008900 Loss_D_real: -0.008830 Loss_D_fake 0.017381
[498/5000][515/535][51211] Loss_D: -0.024635 Loss_G: 0.028863 Loss_D_real: -0.039391 Loss_D_fake -0.014757
[498/5000][520/535][51212] Loss_D: -0.026703 Loss_G: 0.016288 Loss_D_real: -0.007690 Loss_D_fake 0.019013
[498/5000][525/535][51213] Loss_D: -0.026159 Loss_G: 0.010433 Loss_D_real: -0.015509 Loss_D_fake 0.010650
[498/5000][530/535][51214] Loss_D: -0.028463 Loss_G: 0.037365 Loss_D_real: -0.023496 Loss_D_fake 0.004967
[498/5000][535/535][51215] Loss_D: -0.028240 Loss_G: 0.031171 Loss_D_real: -0.029275 Loss_D_fake -0.001034
[499/5000][5/535][51216] Loss_D: -0.027246 Loss_G: 0.013384 Loss_D_real: -0.016547 Loss_D_fake 0.010699
[499/5000][10/535][51217] Loss_D: -0.027247 Loss_G: 0.002175 Loss_D_real: -0.012073 Loss_D_fake 0.015174
[499/5000][15/535][51218] Loss_D: -0.027100 Loss_G: 0.014938 Loss_D_real: -0.026169 Loss_D_fake 0.000932
[499/5000][20/535][51219] Loss_D: -0.024358 Loss_G: 0.034711 Loss_D_real: -0.035139 Loss_D_fake -0.010781
[499/5000][25/535][51220] Loss_D: -0.027008 Loss_G: 0.032050 Loss_D_real: -0.022064 Loss_D_fake 0.004944
[499/5000][30/535][51221] Loss_D: -0.027530 Loss_G: 0.005014 Loss_D_real: -0.009089 Loss_D_fake 0.018441
[499/5000][35/535][51222] Loss_D: -0.026076 Loss_G: 0.023313 Loss_D_real: -0.014855 Loss_D_fake 0.011221
[499/5000][40/535][51223] Loss_D: -0.025667 Loss_G: 0.013094 Loss_D_real: -0.022506 Loss_D_fake 0.003161
[499/5000][45/535][51224] Loss_D: -0.026946 Loss_G: 0.035433 Loss_D_real: -0.030750 Loss_D_fake -0.003804
[499/5000][50/535][51225] Loss_D: -0.025909 Loss_G: 0.026021 Loss_D_real: -0.026483 Loss_D_fake -0.000574
[499/5000][55/535][51226] Loss_D: -0.028483 Loss_G: 0.015732 Loss_D_real: -0.019607 Loss_D_fake 0.008876
[499/5000][60/535][51227] Loss_D: -0.029301 Loss_G: 0.018014 Loss_D_real: -0.020344 Loss_D_fake 0.008957
[499/5000][65/535][51228] Loss_D: -0.026338 Loss_G: 0.038266 Loss_D_real: -0.033147 Loss_D_fake -0.006809
[499/5000][70/535][51229] Loss_D: -0.027693 Loss_G: 0.008828 Loss_D_real: -0.018423 Loss_D_fake 0.009270
[499/5000][75/535][51230] Loss_D: -0.027838 Loss_G: 0.017926 Loss_D_real: -0.025974 Loss_D_fake 0.001863
[499/5000][80/535][51231] Loss_D: -0.025520 Loss_G: 0.022912 Loss_D_real: -0.034714 Loss_D_fake -0.009195
[499/5000][85/535][51232] Loss_D: -0.026547 Loss_G: 0.016586 Loss_D_real: -0.025226 Loss_D_fake 0.001321
[499/5000][90/535][51233] Loss_D: -0.026296 Loss_G: 0.004961 Loss_D_real: -0.016532 Loss_D_fake 0.009764
[499/5000][95/535][51234] Loss_D: -0.026681 Loss_G: -0.006552 Loss_D_real: -0.001370 Loss_D_fake 0.025310
[499/5000][100/535][51235] Loss_D: -0.026243 Loss_G: 0.017003 Loss_D_real: -0.017044 Loss_D_fake 0.009199
[499/5000][105/535][51236] Loss_D: -0.026269 Loss_G: -0.001915 Loss_D_real: 0.000752 Loss_D_fake 0.027020
[499/5000][110/535][51237] Loss_D: -0.027141 Loss_G: 0.014258 Loss_D_real: -0.016598 Loss_D_fake 0.010543
[499/5000][115/535][51238] Loss_D: -0.026454 Loss_G: 0.009635 Loss_D_real: -0.017305 Loss_D_fake 0.009149
[499/5000][120/535][51239] Loss_D: -0.026918 Loss_G: 0.024265 Loss_D_real: -0.027428 Loss_D_fake -0.000510
[499/5000][125/535][51240] Loss_D: -0.027102 Loss_G: -0.000465 Loss_D_real: -0.008858 Loss_D_fake 0.018244
[499/5000][130/535][51241] Loss_D: -0.026533 Loss_G: 0.022182 Loss_D_real: -0.025862 Loss_D_fake 0.000671
[499/5000][135/535][51242] Loss_D: -0.027094 Loss_G: 0.007183 Loss_D_real: -0.011203 Loss_D_fake 0.015891
[499/5000][140/535][51243] Loss_D: -0.027376 Loss_G: 0.000181 Loss_D_real: -0.015229 Loss_D_fake 0.012146
[499/5000][145/535][51244] Loss_D: -0.026693 Loss_G: 0.015281 Loss_D_real: -0.016042 Loss_D_fake 0.010651
[499/5000][150/535][51245] Loss_D: -0.026695 Loss_G: 0.007768 Loss_D_real: -0.014254 Loss_D_fake 0.012441
[499/5000][155/535][51246] Loss_D: -0.027284 Loss_G: 0.025285 Loss_D_real: -0.031356 Loss_D_fake -0.004071
[499/5000][160/535][51247] Loss_D: -0.026763 Loss_G: 0.029440 Loss_D_real: -0.014792 Loss_D_fake 0.011971
[499/5000][165/535][51248] Loss_D: -0.027463 Loss_G: 0.026970 Loss_D_real: -0.027626 Loss_D_fake -0.000163
[499/5000][170/535][51249] Loss_D: -0.027815 Loss_G: 0.010596 Loss_D_real: -0.021245 Loss_D_fake 0.006570
[499/5000][175/535][51250] Loss_D: -0.029562 Loss_G: 0.005509 Loss_D_real: -0.011776 Loss_D_fake 0.017786
[499/5000][180/535][51251] Loss_D: -0.026228 Loss_G: 0.036880 Loss_D_real: -0.021846 Loss_D_fake 0.004382
[499/5000][185/535][51252] Loss_D: -0.025653 Loss_G: -0.008453 Loss_D_real: 0.004494 Loss_D_fake 0.030147
[499/5000][190/535][51253] Loss_D: -0.025959 Loss_G: 0.039608 Loss_D_real: -0.033631 Loss_D_fake -0.007671
[499/5000][195/535][51254] Loss_D: -0.026515 Loss_G: 0.011302 Loss_D_real: -0.012892 Loss_D_fake 0.013623
[499/5000][200/535][51255] Loss_D: -0.026405 Loss_G: 0.012348 Loss_D_real: -0.010751 Loss_D_fake 0.015654
[499/5000][205/535][51256] Loss_D: -0.025581 Loss_G: -0.004221 Loss_D_real: -0.001972 Loss_D_fake 0.023609
[499/5000][210/535][51257] Loss_D: -0.024740 Loss_G: 0.019255 Loss_D_real: -0.023836 Loss_D_fake 0.000904
[499/5000][215/535][51258] Loss_D: -0.026223 Loss_G: -0.003178 Loss_D_real: -0.000355 Loss_D_fake 0.025868
[499/5000][220/535][51259] Loss_D: -0.026780 Loss_G: 0.017249 Loss_D_real: -0.027579 Loss_D_fake -0.000799
[499/5000][225/535][51260] Loss_D: -0.025460 Loss_G: 0.025682 Loss_D_real: -0.021720 Loss_D_fake 0.003740
[499/5000][230/535][51261] Loss_D: -0.026515 Loss_G: -0.014227 Loss_D_real: -0.003155 Loss_D_fake 0.023360
[499/5000][235/535][51262] Loss_D: -0.025556 Loss_G: 0.018222 Loss_D_real: -0.013732 Loss_D_fake 0.011824
[499/5000][240/535][51263] Loss_D: -0.025518 Loss_G: 0.003733 Loss_D_real: -0.000646 Loss_D_fake 0.024871
[499/5000][245/535][51264] Loss_D: -0.025918 Loss_G: 0.013054 Loss_D_real: -0.012286 Loss_D_fake 0.013632
[499/5000][250/535][51265] Loss_D: -0.025688 Loss_G: 0.036233 Loss_D_real: -0.036441 Loss_D_fake -0.010752
[499/5000][255/535][51266] Loss_D: -0.026714 Loss_G: 0.004494 Loss_D_real: -0.013472 Loss_D_fake 0.013242
[499/5000][260/535][51267] Loss_D: -0.025921 Loss_G: 0.027664 Loss_D_real: -0.034767 Loss_D_fake -0.008846
[499/5000][265/535][51268] Loss_D: -0.026350 Loss_G: -0.001258 Loss_D_real: -0.013352 Loss_D_fake 0.012998
[499/5000][270/535][51269] Loss_D: -0.026968 Loss_G: 0.028048 Loss_D_real: -0.027195 Loss_D_fake -0.000227
[499/5000][275/535][51270] Loss_D: -0.026079 Loss_G: -0.002992 Loss_D_real: 0.001335 Loss_D_fake 0.027413
[499/5000][280/535][51271] Loss_D: -0.025954 Loss_G: 0.027118 Loss_D_real: -0.012117 Loss_D_fake 0.013837
[499/5000][285/535][51272] Loss_D: -0.025346 Loss_G: 0.031904 Loss_D_real: -0.026304 Loss_D_fake -0.000958
[499/5000][290/535][51273] Loss_D: -0.026351 Loss_G: -0.006402 Loss_D_real: -0.004506 Loss_D_fake 0.021844
[499/5000][295/535][51274] Loss_D: -0.025644 Loss_G: 0.009925 Loss_D_real: -0.018439 Loss_D_fake 0.007204
[499/5000][300/535][51275] Loss_D: -0.026682 Loss_G: 0.018136 Loss_D_real: -0.016726 Loss_D_fake 0.009955
[499/5000][305/535][51276] Loss_D: -0.025984 Loss_G: 0.022869 Loss_D_real: -0.027372 Loss_D_fake -0.001389
[499/5000][310/535][51277] Loss_D: -0.026698 Loss_G: 0.009110 Loss_D_real: -0.016951 Loss_D_fake 0.009747
[499/5000][315/535][51278] Loss_D: -0.026547 Loss_G: 0.010513 Loss_D_real: -0.020030 Loss_D_fake 0.006517
[499/5000][320/535][51279] Loss_D: -0.026738 Loss_G: 0.006201 Loss_D_real: -0.013599 Loss_D_fake 0.013139
[499/5000][325/535][51280] Loss_D: -0.026480 Loss_G: 0.030031 Loss_D_real: -0.020701 Loss_D_fake 0.005779
[499/5000][330/535][51281] Loss_D: -0.026073 Loss_G: -0.002669 Loss_D_real: -0.003248 Loss_D_fake 0.022825
[499/5000][335/535][51282] Loss_D: -0.028186 Loss_G: 0.029528 Loss_D_real: -0.023779 Loss_D_fake 0.004407
[499/5000][340/535][51283] Loss_D: -0.027659 Loss_G: 0.016261 Loss_D_real: -0.025799 Loss_D_fake 0.001860
[499/5000][345/535][51284] Loss_D: -0.028520 Loss_G: 0.019178 Loss_D_real: -0.013787 Loss_D_fake 0.014733
[499/5000][350/535][51285] Loss_D: -0.027127 Loss_G: 0.032581 Loss_D_real: -0.024581 Loss_D_fake 0.002546
[499/5000][355/535][51286] Loss_D: -0.026608 Loss_G: 0.000265 Loss_D_real: -0.007089 Loss_D_fake 0.019520
[499/5000][360/535][51287] Loss_D: -0.025656 Loss_G: 0.036264 Loss_D_real: -0.028912 Loss_D_fake -0.003255
[499/5000][365/535][51288] Loss_D: -0.025853 Loss_G: -0.002448 Loss_D_real: -0.013331 Loss_D_fake 0.012522
[499/5000][370/535][51289] Loss_D: -0.025688 Loss_G: 0.025699 Loss_D_real: -0.033277 Loss_D_fake -0.007589
[499/5000][375/535][51290] Loss_D: -0.026827 Loss_G: 0.015170 Loss_D_real: -0.008198 Loss_D_fake 0.018629
[499/5000][380/535][51291] Loss_D: -0.026946 Loss_G: 0.026740 Loss_D_real: -0.031942 Loss_D_fake -0.004996
[499/5000][385/535][51292] Loss_D: -0.027169 Loss_G: 0.005275 Loss_D_real: -0.009157 Loss_D_fake 0.018012
[499/5000][390/535][51293] Loss_D: -0.026281 Loss_G: 0.023083 Loss_D_real: -0.015116 Loss_D_fake 0.011165
[499/5000][395/535][51294] Loss_D: -0.025699 Loss_G: 0.006474 Loss_D_real: -0.016586 Loss_D_fake 0.009113
[499/5000][400/535][51295] Loss_D: -0.026200 Loss_G: 0.025590 Loss_D_real: -0.022550 Loss_D_fake 0.003650
[499/5000][405/535][51296] Loss_D: -0.026183 Loss_G: 0.002603 Loss_D_real: -0.012788 Loss_D_fake 0.013395
[499/5000][410/535][51297] Loss_D: -0.026759 Loss_G: 0.006699 Loss_D_real: -0.007831 Loss_D_fake 0.018928
[499/5000][415/535][51298] Loss_D: -0.025701 Loss_G: 0.016786 Loss_D_real: -0.011871 Loss_D_fake 0.013830
[499/5000][420/535][51299] Loss_D: -0.025826 Loss_G: -0.008040 Loss_D_real: -0.005398 Loss_D_fake 0.020429
[499/5000][425/535][51300] Loss_D: -0.025953 Loss_G: 0.028707 Loss_D_real: -0.032780 Loss_D_fake -0.006826
[499/5000][430/535][51301] Loss_D: -0.025835 Loss_G: -0.008049 Loss_D_real: -0.003885 Loss_D_fake 0.021949
[499/5000][435/535][51302] Loss_D: -0.028190 Loss_G: 0.029375 Loss_D_real: -0.024441 Loss_D_fake 0.003749
[499/5000][440/535][51303] Loss_D: -0.025979 Loss_G: 0.010213 Loss_D_real: -0.018239 Loss_D_fake 0.007740
[499/5000][445/535][51304] Loss_D: -0.027763 Loss_G: 0.008348 Loss_D_real: -0.008250 Loss_D_fake 0.019513
[499/5000][450/535][51305] Loss_D: -0.024694 Loss_G: 0.006531 Loss_D_real: -0.020544 Loss_D_fake 0.004150
[499/5000][455/535][51306] Loss_D: -0.028255 Loss_G: 0.009787 Loss_D_real: -0.022817 Loss_D_fake 0.005438
[499/5000][460/535][51307] Loss_D: -0.027827 Loss_G: 0.012385 Loss_D_real: -0.017695 Loss_D_fake 0.010131
[499/5000][465/535][51308] Loss_D: -0.027313 Loss_G: -0.000423 Loss_D_real: -0.011816 Loss_D_fake 0.015496
[499/5000][470/535][51309] Loss_D: -0.025815 Loss_G: 0.005536 Loss_D_real: -0.016122 Loss_D_fake 0.009693
[499/5000][475/535][51310] Loss_D: -0.027915 Loss_G: 0.006315 Loss_D_real: -0.016509 Loss_D_fake 0.011407
[499/5000][480/535][51311] Loss_D: -0.027972 Loss_G: 0.025656 Loss_D_real: -0.021019 Loss_D_fake 0.006953
[499/5000][485/535][51312] Loss_D: -0.028042 Loss_G: 0.014900 Loss_D_real: -0.017628 Loss_D_fake 0.010414
[499/5000][490/535][51313] Loss_D: -0.025508 Loss_G: -0.013293 Loss_D_real: 0.005225 Loss_D_fake 0.030734
[499/5000][495/535][51314] Loss_D: -0.025845 Loss_G: 0.027973 Loss_D_real: -0.024556 Loss_D_fake 0.001289
[499/5000][500/535][51315] Loss_D: -0.026855 Loss_G: 0.016821 Loss_D_real: -0.009272 Loss_D_fake 0.017582
[499/5000][505/535][51316] Loss_D: -0.026360 Loss_G: 0.022137 Loss_D_real: -0.022858 Loss_D_fake 0.003502
[499/5000][510/535][51317] Loss_D: -0.025613 Loss_G: -0.007653 Loss_D_real: 0.008022 Loss_D_fake 0.033635
[499/5000][515/535][51318] Loss_D: -0.024918 Loss_G: 0.036989 Loss_D_real: -0.021019 Loss_D_fake 0.003899
[499/5000][520/535][51319] Loss_D: -0.025807 Loss_G: 0.010698 Loss_D_real: -0.008320 Loss_D_fake 0.017487
[499/5000][525/535][51320] Loss_D: -0.026274 Loss_G: 0.012416 Loss_D_real: -0.024381 Loss_D_fake 0.001893
[499/5000][530/535][51321] Loss_D: -0.027121 Loss_G: 0.028559 Loss_D_real: -0.020805 Loss_D_fake 0.006316
[499/5000][535/535][51322] Loss_D: -0.027771 Loss_G: 0.029616 Loss_D_real: -0.002152 Loss_D_fake 0.025619
[500/5000][5/535][51323] Loss_D: -0.025831 Loss_G: -0.001542 Loss_D_real: 0.001902 Loss_D_fake 0.027733
[500/5000][10/535][51324] Loss_D: -0.027938 Loss_G: 0.017796 Loss_D_real: -0.022838 Loss_D_fake 0.005100
[500/5000][15/535][51325] Loss_D: -0.025621 Loss_G: 0.025263 Loss_D_real: -0.025062 Loss_D_fake 0.000559
[500/5000][20/535][51326] Loss_D: -0.026718 Loss_G: 0.005864 Loss_D_real: -0.009873 Loss_D_fake 0.016846
[500/5000][25/535][51327] Loss_D: -0.027993 Loss_G: 0.022496 Loss_D_real: -0.021086 Loss_D_fake 0.006906
[500/5000][30/535][51328] Loss_D: -0.026165 Loss_G: 0.024798 Loss_D_real: -0.025427 Loss_D_fake 0.000738
[500/5000][35/535][51329] Loss_D: -0.026900 Loss_G: 0.021713 Loss_D_real: -0.024510 Loss_D_fake 0.002390
[500/5000][40/535][51330] Loss_D: -0.027143 Loss_G: 0.021722 Loss_D_real: -0.023539 Loss_D_fake 0.003604
[500/5000][45/535][51331] Loss_D: -0.027788 Loss_G: 0.021250 Loss_D_real: -0.026582 Loss_D_fake 0.001205
[500/5000][50/535][51332] Loss_D: -0.027671 Loss_G: 0.018964 Loss_D_real: -0.025896 Loss_D_fake 0.001776
[500/5000][55/535][51333] Loss_D: -0.026248 Loss_G: -0.015794 Loss_D_real: -0.006256 Loss_D_fake 0.019991
[500/5000][60/535][51334] Loss_D: -0.025413 Loss_G: -0.005309 Loss_D_real: -0.001982 Loss_D_fake 0.023431
[500/5000][65/535][51335] Loss_D: -0.026362 Loss_G: -0.005584 Loss_D_real: -0.001476 Loss_D_fake 0.024887
[500/5000][70/535][51336] Loss_D: -0.026482 Loss_G: 0.009002 Loss_D_real: -0.022098 Loss_D_fake 0.004384
[500/5000][75/535][51337] Loss_D: -0.027061 Loss_G: 0.017109 Loss_D_real: -0.018567 Loss_D_fake 0.008493
[500/5000][80/535][51338] Loss_D: -0.027250 Loss_G: 0.016535 Loss_D_real: -0.018595 Loss_D_fake 0.008655
[500/5000][85/535][51339] Loss_D: -0.027236 Loss_G: 0.004244 Loss_D_real: -0.000480 Loss_D_fake 0.026755
[500/5000][90/535][51340] Loss_D: -0.026653 Loss_G: 0.006000 Loss_D_real: -0.003517 Loss_D_fake 0.023136
[500/5000][95/535][51341] Loss_D: -0.024765 Loss_G: 0.004505 Loss_D_real: -0.000104 Loss_D_fake 0.024661
[500/5000][100/535][51342] Loss_D: -0.024168 Loss_G: 0.029869 Loss_D_real: -0.040438 Loss_D_fake -0.016270
[500/5000][105/535][51343] Loss_D: -0.025808 Loss_G: 0.011101 Loss_D_real: -0.016569 Loss_D_fake 0.009239
[500/5000][110/535][51344] Loss_D: -0.026835 Loss_G: 0.023413 Loss_D_real: -0.016370 Loss_D_fake 0.010465
[500/5000][115/535][51345] Loss_D: -0.025635 Loss_G: 0.029144 Loss_D_real: -0.031159 Loss_D_fake -0.005524
[500/5000][120/535][51346] Loss_D: -0.024244 Loss_G: 0.025101 Loss_D_real: -0.032031 Loss_D_fake -0.007787
[500/5000][125/535][51347] Loss_D: -0.026041 Loss_G: -0.005154 Loss_D_real: -0.012582 Loss_D_fake 0.013460
[500/5000][130/535][51348] Loss_D: -0.026418 Loss_G: 0.013715 Loss_D_real: -0.019971 Loss_D_fake 0.006448
[500/5000][135/535][51349] Loss_D: -0.027711 Loss_G: 0.006065 Loss_D_real: -0.000038 Loss_D_fake 0.027673
[500/5000][140/535][51350] Loss_D: -0.027681 Loss_G: 0.022300 Loss_D_real: -0.023240 Loss_D_fake 0.004441
[500/5000][145/535][51351] Loss_D: -0.027369 Loss_G: 0.027219 Loss_D_real: -0.029596 Loss_D_fake -0.002227
[500/5000][150/535][51352] Loss_D: -0.028267 Loss_G: 0.009858 Loss_D_real: -0.014752 Loss_D_fake 0.013515
[500/5000][155/535][51353] Loss_D: -0.026579 Loss_G: 0.026270 Loss_D_real: -0.030666 Loss_D_fake -0.004087
[500/5000][160/535][51354] Loss_D: -0.027250 Loss_G: 0.032176 Loss_D_real: -0.023828 Loss_D_fake 0.003422
[500/5000][165/535][51355] Loss_D: -0.025509 Loss_G: -0.008475 Loss_D_real: 0.000114 Loss_D_fake 0.025622
[500/5000][170/535][51356] Loss_D: -0.026081 Loss_G: 0.025813 Loss_D_real: -0.026087 Loss_D_fake -0.000005
[500/5000][175/535][51357] Loss_D: -0.027107 Loss_G: 0.021280 Loss_D_real: -0.011703 Loss_D_fake 0.015404
[500/5000][180/535][51358] Loss_D: -0.026647 Loss_G: 0.033815 Loss_D_real: -0.026073 Loss_D_fake 0.000574
[500/5000][185/535][51359] Loss_D: -0.026827 Loss_G: 0.016570 Loss_D_real: -0.025266 Loss_D_fake 0.001561
[500/5000][190/535][51360] Loss_D: -0.028016 Loss_G: 0.032294 Loss_D_real: -0.028348 Loss_D_fake -0.000332
[500/5000][195/535][51361] Loss_D: -0.027186 Loss_G: 0.007598 Loss_D_real: -0.018410 Loss_D_fake 0.008775
[500/5000][200/535][51362] Loss_D: -0.028733 Loss_G: 0.029110 Loss_D_real: -0.028805 Loss_D_fake -0.000072
[500/5000][205/535][51363] Loss_D: -0.025566 Loss_G: 0.006381 Loss_D_real: -0.017144 Loss_D_fake 0.008423
[500/5000][210/535][51364] Loss_D: -0.026128 Loss_G: 0.028843 Loss_D_real: -0.040689 Loss_D_fake -0.014561
[500/5000][215/535][51365] Loss_D: -0.025530 Loss_G: 0.000155 Loss_D_real: -0.000120 Loss_D_fake 0.025410
[500/5000][220/535][51366] Loss_D: -0.026829 Loss_G: 0.010666 Loss_D_real: -0.013644 Loss_D_fake 0.013185
[500/5000][225/535][51367] Loss_D: -0.024958 Loss_G: -0.006800 Loss_D_real: -0.000073 Loss_D_fake 0.024885
[500/5000][230/535][51368] Loss_D: -0.026981 Loss_G: 0.015275 Loss_D_real: -0.015616 Loss_D_fake 0.011365
[500/5000][235/535][51369] Loss_D: -0.026146 Loss_G: -0.004403 Loss_D_real: -0.006185 Loss_D_fake 0.019961
[500/5000][240/535][51370] Loss_D: -0.026906 Loss_G: 0.008545 Loss_D_real: -0.008916 Loss_D_fake 0.017989
[500/5000][245/535][51371] Loss_D: -0.027001 Loss_G: 0.006089 Loss_D_real: -0.010451 Loss_D_fake 0.016550
[500/5000][250/535][51372] Loss_D: -0.027006 Loss_G: 0.010529 Loss_D_real: -0.021565 Loss_D_fake 0.005441
[500/5000][255/535][51373] Loss_D: -0.027754 Loss_G: -0.001494 Loss_D_real: -0.007622 Loss_D_fake 0.020132
[500/5000][260/535][51374] Loss_D: -0.026448 Loss_G: 0.031711 Loss_D_real: -0.031524 Loss_D_fake -0.005076
[500/5000][265/535][51375] Loss_D: -0.026950 Loss_G: 0.011616 Loss_D_real: -0.013750 Loss_D_fake 0.013200
[500/5000][270/535][51376] Loss_D: -0.026941 Loss_G: 0.016194 Loss_D_real: -0.017840 Loss_D_fake 0.009100
[500/5000][275/535][51377] Loss_D: -0.026400 Loss_G: -0.011879 Loss_D_real: 0.001801 Loss_D_fake 0.028201
[500/5000][280/535][51378] Loss_D: -0.025448 Loss_G: 0.032690 Loss_D_real: -0.025204 Loss_D_fake 0.000244
[500/5000][285/535][51379] Loss_D: -0.023603 Loss_G: -0.023164 Loss_D_real: 0.009032 Loss_D_fake 0.032636
[500/5000][290/535][51380] Loss_D: -0.025622 Loss_G: 0.023545 Loss_D_real: -0.022371 Loss_D_fake 0.003251
[500/5000][295/535][51381] Loss_D: -0.026051 Loss_G: 0.009239 Loss_D_real: -0.014799 Loss_D_fake 0.011252
[500/5000][300/535][51382] Loss_D: -0.025589 Loss_G: 0.009576 Loss_D_real: -0.022877 Loss_D_fake 0.002713
[500/5000][305/535][51383] Loss_D: -0.025812 Loss_G: -0.003188 Loss_D_real: 0.000128 Loss_D_fake 0.025940
[500/5000][310/535][51384] Loss_D: -0.026382 Loss_G: 0.017188 Loss_D_real: -0.017545 Loss_D_fake 0.008837
[500/5000][315/535][51385] Loss_D: -0.025160 Loss_G: 0.005122 Loss_D_real: -0.002713 Loss_D_fake 0.022446
[500/5000][320/535][51386] Loss_D: -0.025863 Loss_G: 0.026157 Loss_D_real: -0.026853 Loss_D_fake -0.000991
[500/5000][325/535][51387] Loss_D: -0.026669 Loss_G: 0.011445 Loss_D_real: 0.001227 Loss_D_fake 0.027896
[500/5000][330/535][51388] Loss_D: -0.025069 Loss_G: 0.028145 Loss_D_real: -0.028893 Loss_D_fake -0.003824
[500/5000][335/535][51389] Loss_D: -0.027067 Loss_G: -0.008245 Loss_D_real: -0.001963 Loss_D_fake 0.025104
[500/5000][340/535][51390] Loss_D: -0.025918 Loss_G: 0.023716 Loss_D_real: -0.026101 Loss_D_fake -0.000183
[500/5000][345/535][51391] Loss_D: -0.025864 Loss_G: 0.030225 Loss_D_real: -0.026978 Loss_D_fake -0.001114
[500/5000][350/535][51392] Loss_D: -0.026546 Loss_G: 0.026165 Loss_D_real: -0.028176 Loss_D_fake -0.001629
[500/5000][355/535][51393] Loss_D: -0.026551 Loss_G: 0.013663 Loss_D_real: -0.017171 Loss_D_fake 0.009380
[500/5000][360/535][51394] Loss_D: -0.028170 Loss_G: 0.019898 Loss_D_real: -0.013262 Loss_D_fake 0.014908
[500/5000][365/535][51395] Loss_D: -0.026265 Loss_G: 0.005330 Loss_D_real: -0.012165 Loss_D_fake 0.014099
[500/5000][370/535][51396] Loss_D: -0.027122 Loss_G: 0.017818 Loss_D_real: -0.020786 Loss_D_fake 0.006337
[500/5000][375/535][51397] Loss_D: -0.026604 Loss_G: -0.002662 Loss_D_real: -0.009175 Loss_D_fake 0.017429
[500/5000][380/535][51398] Loss_D: -0.026196 Loss_G: -0.002866 Loss_D_real: -0.000972 Loss_D_fake 0.025224
[500/5000][385/535][51399] Loss_D: -0.026451 Loss_G: 0.036819 Loss_D_real: -0.033140 Loss_D_fake -0.006689
[500/5000][390/535][51400] Loss_D: -0.025739 Loss_G: 0.003064 Loss_D_real: -0.006054 Loss_D_fake 0.019685
[500/5000][395/535][51401] Loss_D: -0.025523 Loss_G: 0.003922 Loss_D_real: -0.016110 Loss_D_fake 0.009413
[500/5000][400/535][51402] Loss_D: -0.025694 Loss_G: -0.009716 Loss_D_real: -0.003404 Loss_D_fake 0.022290
[500/5000][405/535][51403] Loss_D: -0.024931 Loss_G: 0.028534 Loss_D_real: -0.025760 Loss_D_fake -0.000829
[500/5000][410/535][51404] Loss_D: -0.026572 Loss_G: 0.028956 Loss_D_real: -0.016656 Loss_D_fake 0.009916
[500/5000][415/535][51405] Loss_D: -0.026597 Loss_G: 0.026360 Loss_D_real: -0.021869 Loss_D_fake 0.004728
[500/5000][420/535][51406] Loss_D: -0.026306 Loss_G: -0.002045 Loss_D_real: -0.009972 Loss_D_fake 0.016334
[500/5000][425/535][51407] Loss_D: -0.025784 Loss_G: -0.003834 Loss_D_real: 0.003841 Loss_D_fake 0.029625
[500/5000][430/535][51408] Loss_D: -0.025407 Loss_G: 0.030043 Loss_D_real: -0.034925 Loss_D_fake -0.009519
[500/5000][435/535][51409] Loss_D: -0.024251 Loss_G: 0.033540 Loss_D_real: -0.027763 Loss_D_fake -0.003513
[500/5000][440/535][51410] Loss_D: -0.027648 Loss_G: -0.012693 Loss_D_real: -0.001422 Loss_D_fake 0.026226
[500/5000][445/535][51411] Loss_D: -0.024420 Loss_G: 0.039000 Loss_D_real: -0.031184 Loss_D_fake -0.006764
[500/5000][450/535][51412] Loss_D: -0.027102 Loss_G: 0.002011 Loss_D_real: -0.002650 Loss_D_fake 0.024451
[500/5000][455/535][51413] Loss_D: -0.026511 Loss_G: 0.029206 Loss_D_real: -0.030424 Loss_D_fake -0.003913
[500/5000][460/535][51414] Loss_D: -0.026559 Loss_G: 0.025872 Loss_D_real: -0.027022 Loss_D_fake -0.000463
[500/5000][465/535][51415] Loss_D: -0.026460 Loss_G: 0.002867 Loss_D_real: 0.000406 Loss_D_fake 0.026866
[500/5000][470/535][51416] Loss_D: -0.025603 Loss_G: 0.032646 Loss_D_real: -0.027155 Loss_D_fake -0.001552
[500/5000][475/535][51417] Loss_D: -0.027147 Loss_G: 0.007328 Loss_D_real: -0.014786 Loss_D_fake 0.012362
[500/5000][480/535][51418] Loss_D: -0.027600 Loss_G: 0.000239 Loss_D_real: -0.012151 Loss_D_fake 0.015449
[500/5000][485/535][51419] Loss_D: -0.026981 Loss_G: 0.030739 Loss_D_real: -0.029070 Loss_D_fake -0.002089
[500/5000][490/535][51420] Loss_D: -0.027017 Loss_G: 0.000701 Loss_D_real: -0.000564 Loss_D_fake 0.026453
[500/5000][495/535][51421] Loss_D: -0.026772 Loss_G: 0.022664 Loss_D_real: -0.026026 Loss_D_fake 0.000746
[500/5000][500/535][51422] Loss_D: -0.027135 Loss_G: 0.031465 Loss_D_real: -0.031885 Loss_D_fake -0.004750
[500/5000][505/535][51423] Loss_D: -0.028265 Loss_G: 0.015217 Loss_D_real: -0.013827 Loss_D_fake 0.014438
[500/5000][510/535][51424] Loss_D: -0.026217 Loss_G: 0.022136 Loss_D_real: -0.022618 Loss_D_fake 0.003599
[500/5000][515/535][51425] Loss_D: -0.028565 Loss_G: 0.014986 Loss_D_real: -0.019201 Loss_D_fake 0.009364
[500/5000][520/535][51426] Loss_D: -0.028798 Loss_G: 0.011435 Loss_D_real: -0.018722 Loss_D_fake 0.010076
[500/5000][525/535][51427] Loss_D: -0.027795 Loss_G: 0.015025 Loss_D_real: -0.015963 Loss_D_fake 0.011833
[500/5000][530/535][51428] Loss_D: -0.026504 Loss_G: -0.003197 Loss_D_real: -0.001270 Loss_D_fake 0.025235
[500/5000][535/535][51429] Loss_D: -0.026821 Loss_G: 0.037401 Loss_D_real: -0.023011 Loss_D_fake 0.003810
[501/5000][5/535][51430] Loss_D: -0.024977 Loss_G: 0.008104 Loss_D_real: -0.004618 Loss_D_fake 0.020359
[501/5000][10/535][51431] Loss_D: -0.024054 Loss_G: 0.019061 Loss_D_real: -0.027072 Loss_D_fake -0.003018
[501/5000][15/535][51432] Loss_D: -0.025278 Loss_G: 0.016035 Loss_D_real: -0.020173 Loss_D_fake 0.005105
[501/5000][20/535][51433] Loss_D: -0.026536 Loss_G: 0.002529 Loss_D_real: -0.006764 Loss_D_fake 0.019771
[501/5000][25/535][51434] Loss_D: -0.025516 Loss_G: 0.016184 Loss_D_real: -0.017752 Loss_D_fake 0.007764
[501/5000][30/535][51435] Loss_D: -0.028304 Loss_G: 0.014582 Loss_D_real: -0.013965 Loss_D_fake 0.014339
[501/5000][35/535][51436] Loss_D: -0.026010 Loss_G: -0.007747 Loss_D_real: 0.004672 Loss_D_fake 0.030682
[501/5000][40/535][51437] Loss_D: -0.026416 Loss_G: 0.030425 Loss_D_real: -0.026380 Loss_D_fake 0.000036
[501/5000][45/535][51438] Loss_D: -0.026134 Loss_G: 0.006952 Loss_D_real: -0.008433 Loss_D_fake 0.017700
[501/5000][50/535][51439] Loss_D: -0.025370 Loss_G: 0.037084 Loss_D_real: -0.032716 Loss_D_fake -0.007346
[501/5000][55/535][51440] Loss_D: -0.026663 Loss_G: -0.002727 Loss_D_real: -0.006831 Loss_D_fake 0.019832
[501/5000][60/535][51441] Loss_D: -0.027667 Loss_G: -0.002135 Loss_D_real: -0.010585 Loss_D_fake 0.017082
[501/5000][65/535][51442] Loss_D: -0.026528 Loss_G: 0.019720 Loss_D_real: -0.019904 Loss_D_fake 0.006624
[501/5000][70/535][51443] Loss_D: -0.027290 Loss_G: 0.023406 Loss_D_real: -0.021679 Loss_D_fake 0.005611
[501/5000][75/535][51444] Loss_D: -0.026074 Loss_G: 0.026701 Loss_D_real: -0.014688 Loss_D_fake 0.011386
[501/5000][80/535][51445] Loss_D: -0.028023 Loss_G: 0.016115 Loss_D_real: -0.018252 Loss_D_fake 0.009770
[501/5000][85/535][51446] Loss_D: -0.025981 Loss_G: 0.017659 Loss_D_real: -0.016703 Loss_D_fake 0.009278
[501/5000][90/535][51447] Loss_D: -0.026932 Loss_G: 0.012411 Loss_D_real: -0.017138 Loss_D_fake 0.009794
[501/5000][95/535][51448] Loss_D: -0.025971 Loss_G: 0.013511 Loss_D_real: -0.029551 Loss_D_fake -0.003580
[501/5000][100/535][51449] Loss_D: -0.027039 Loss_G: 0.024019 Loss_D_real: -0.023850 Loss_D_fake 0.003189
[501/5000][105/535][51450] Loss_D: -0.026574 Loss_G: 0.034617 Loss_D_real: -0.028204 Loss_D_fake -0.001630
[501/5000][110/535][51451] Loss_D: -0.027153 Loss_G: 0.014829 Loss_D_real: -0.006960 Loss_D_fake 0.020193
[501/5000][115/535][51452] Loss_D: -0.026136 Loss_G: 0.023919 Loss_D_real: -0.020779 Loss_D_fake 0.005357
[501/5000][120/535][51453] Loss_D: -0.027340 Loss_G: 0.014991 Loss_D_real: -0.015428 Loss_D_fake 0.011912
[501/5000][125/535][51454] Loss_D: -0.026899 Loss_G: 0.030808 Loss_D_real: -0.031541 Loss_D_fake -0.004641
[501/5000][130/535][51455] Loss_D: -0.026971 Loss_G: -0.010710 Loss_D_real: -0.008433 Loss_D_fake 0.018538
[501/5000][135/535][51456] Loss_D: -0.027598 Loss_G: 0.024499 Loss_D_real: -0.024093 Loss_D_fake 0.003505
[501/5000][140/535][51457] Loss_D: -0.027132 Loss_G: -0.018143 Loss_D_real: -0.002019 Loss_D_fake 0.025114
[501/5000][145/535][51458] Loss_D: -0.025043 Loss_G: -0.006759 Loss_D_real: 0.009469 Loss_D_fake 0.034512
[501/5000][150/535][51459] Loss_D: -0.026720 Loss_G: 0.014902 Loss_D_real: -0.020427 Loss_D_fake 0.006292
[501/5000][155/535][51460] Loss_D: -0.026885 Loss_G: -0.002864 Loss_D_real: 0.001157 Loss_D_fake 0.028042
[501/5000][160/535][51461] Loss_D: -0.027192 Loss_G: 0.030351 Loss_D_real: -0.023769 Loss_D_fake 0.003423
[501/5000][165/535][51462] Loss_D: -0.027727 Loss_G: 0.010405 Loss_D_real: -0.018891 Loss_D_fake 0.008836
[501/5000][170/535][51463] Loss_D: -0.027702 Loss_G: 0.013716 Loss_D_real: -0.019461 Loss_D_fake 0.008241
[501/5000][175/535][51464] Loss_D: -0.027512 Loss_G: -0.009182 Loss_D_real: 0.001469 Loss_D_fake 0.028980
[501/5000][180/535][51465] Loss_D: -0.025023 Loss_G: 0.034968 Loss_D_real: -0.035477 Loss_D_fake -0.010453
[501/5000][185/535][51466] Loss_D: -0.025971 Loss_G: -0.003334 Loss_D_real: -0.009435 Loss_D_fake 0.016536
[501/5000][190/535][51467] Loss_D: -0.025243 Loss_G: 0.029914 Loss_D_real: -0.028647 Loss_D_fake -0.003404
[501/5000][195/535][51468] Loss_D: -0.027742 Loss_G: 0.003535 Loss_D_real: -0.007492 Loss_D_fake 0.020250
[501/5000][200/535][51469] Loss_D: -0.026956 Loss_G: 0.008069 Loss_D_real: -0.024249 Loss_D_fake 0.002707
[501/5000][205/535][51470] Loss_D: -0.027030 Loss_G: 0.000712 Loss_D_real: -0.010831 Loss_D_fake 0.016198
[501/5000][210/535][51471] Loss_D: -0.026838 Loss_G: 0.016149 Loss_D_real: -0.023457 Loss_D_fake 0.003381
[501/5000][215/535][51472] Loss_D: -0.027054 Loss_G: 0.017205 Loss_D_real: -0.022633 Loss_D_fake 0.004422
[501/5000][220/535][51473] Loss_D: -0.027174 Loss_G: 0.025780 Loss_D_real: -0.025655 Loss_D_fake 0.001519
[501/5000][225/535][51474] Loss_D: -0.026663 Loss_G: 0.010854 Loss_D_real: -0.011834 Loss_D_fake 0.014829
[501/5000][230/535][51475] Loss_D: -0.028045 Loss_G: 0.014011 Loss_D_real: -0.019758 Loss_D_fake 0.008287
[501/5000][235/535][51476] Loss_D: -0.029602 Loss_G: 0.004730 Loss_D_real: -0.015434 Loss_D_fake 0.014168
[501/5000][240/535][51477] Loss_D: -0.027645 Loss_G: 0.024158 Loss_D_real: -0.022774 Loss_D_fake 0.004871
[501/5000][245/535][51478] Loss_D: -0.027668 Loss_G: 0.010519 Loss_D_real: -0.020325 Loss_D_fake 0.007343
[501/5000][250/535][51479] Loss_D: -0.028152 Loss_G: 0.030118 Loss_D_real: -0.023311 Loss_D_fake 0.004841
[501/5000][255/535][51480] Loss_D: -0.025335 Loss_G: 0.017182 Loss_D_real: -0.022779 Loss_D_fake 0.002555
[501/5000][260/535][51481] Loss_D: -0.027245 Loss_G: 0.020568 Loss_D_real: -0.027781 Loss_D_fake -0.000535
[501/5000][265/535][51482] Loss_D: -0.025986 Loss_G: -0.012940 Loss_D_real: 0.003261 Loss_D_fake 0.029248
[501/5000][270/535][51483] Loss_D: -0.026026 Loss_G: 0.016136 Loss_D_real: -0.015954 Loss_D_fake 0.010072
[501/5000][275/535][51484] Loss_D: -0.025866 Loss_G: 0.039197 Loss_D_real: -0.026611 Loss_D_fake -0.000745
[501/5000][280/535][51485] Loss_D: -0.025380 Loss_G: 0.009991 Loss_D_real: -0.004098 Loss_D_fake 0.021282
[501/5000][285/535][51486] Loss_D: -0.027410 Loss_G: 0.005218 Loss_D_real: -0.009717 Loss_D_fake 0.017693
[501/5000][290/535][51487] Loss_D: -0.026989 Loss_G: 0.005273 Loss_D_real: -0.012822 Loss_D_fake 0.014166
[501/5000][295/535][51488] Loss_D: -0.026085 Loss_G: 0.003533 Loss_D_real: -0.008353 Loss_D_fake 0.017732
[501/5000][300/535][51489] Loss_D: -0.026804 Loss_G: 0.031341 Loss_D_real: -0.027033 Loss_D_fake -0.000229
[501/5000][305/535][51490] Loss_D: -0.026531 Loss_G: 0.027809 Loss_D_real: -0.029702 Loss_D_fake -0.003171
[501/5000][310/535][51491] Loss_D: -0.027047 Loss_G: 0.008707 Loss_D_real: -0.008346 Loss_D_fake 0.018701
[501/5000][315/535][51492] Loss_D: -0.025628 Loss_G: 0.042784 Loss_D_real: -0.027681 Loss_D_fake -0.002053
[501/5000][320/535][51493] Loss_D: -0.026201 Loss_G: -0.007178 Loss_D_real: -0.008738 Loss_D_fake 0.017462
[501/5000][325/535][51494] Loss_D: -0.025992 Loss_G: 0.016377 Loss_D_real: -0.020682 Loss_D_fake 0.005310
[501/5000][330/535][51495] Loss_D: -0.026768 Loss_G: 0.006917 Loss_D_real: -0.008297 Loss_D_fake 0.018471
[501/5000][335/535][51496] Loss_D: -0.027350 Loss_G: 0.028256 Loss_D_real: -0.025231 Loss_D_fake 0.002119
[501/5000][340/535][51497] Loss_D: -0.026448 Loss_G: -0.007931 Loss_D_real: 0.002338 Loss_D_fake 0.028786
[501/5000][345/535][51498] Loss_D: -0.024728 Loss_G: -0.013043 Loss_D_real: -0.004569 Loss_D_fake 0.020159
[501/5000][350/535][51499] Loss_D: -0.026231 Loss_G: 0.008812 Loss_D_real: -0.005885 Loss_D_fake 0.020345
[501/5000][355/535][51500] Loss_D: -0.025425 Loss_G: 0.015902 Loss_D_real: -0.020229 Loss_D_fake 0.005196
[501/5000][455/535][51501] Loss_D: -0.028691 Loss_G: 0.003684 Loss_D_real: -0.012992 Loss_D_fake 0.015699
[501/5000][460/535][51502] Loss_D: -0.027070 Loss_G: 0.031881 Loss_D_real: -0.025340 Loss_D_fake 0.001730
[501/5000][465/535][51503] Loss_D: -0.024793 Loss_G: 0.019443 Loss_D_real: -0.026218 Loss_D_fake -0.001425
[501/5000][470/535][51504] Loss_D: -0.025790 Loss_G: -0.005036 Loss_D_real: -0.011715 Loss_D_fake 0.014075
[501/5000][475/535][51505] Loss_D: -0.024906 Loss_G: 0.023700 Loss_D_real: -0.015978 Loss_D_fake 0.008928
[501/5000][480/535][51506] Loss_D: -0.025076 Loss_G: 0.005487 Loss_D_real: -0.007775 Loss_D_fake 0.017300
[501/5000][485/535][51507] Loss_D: -0.026419 Loss_G: 0.000235 Loss_D_real: -0.019192 Loss_D_fake 0.007227
[501/5000][490/535][51508] Loss_D: -0.023783 Loss_G: 0.014333 Loss_D_real: -0.018630 Loss_D_fake 0.005153
[501/5000][495/535][51509] Loss_D: -0.024635 Loss_G: -0.005889 Loss_D_real: 0.003795 Loss_D_fake 0.028430
[501/5000][500/535][51510] Loss_D: -0.026838 Loss_G: 0.017381 Loss_D_real: -0.018692 Loss_D_fake 0.008146
[501/5000][505/535][51511] Loss_D: -0.024776 Loss_G: 0.014766 Loss_D_real: -0.012872 Loss_D_fake 0.011904
[501/5000][510/535][51512] Loss_D: -0.024590 Loss_G: 0.021536 Loss_D_real: -0.026595 Loss_D_fake -0.002004
[501/5000][515/535][51513] Loss_D: -0.025885 Loss_G: 0.020743 Loss_D_real: -0.021144 Loss_D_fake 0.004741
[501/5000][520/535][51514] Loss_D: -0.027953 Loss_G: 0.005493 Loss_D_real: -0.002271 Loss_D_fake 0.025681
[501/5000][525/535][51515] Loss_D: -0.025036 Loss_G: 0.021933 Loss_D_real: -0.019877 Loss_D_fake 0.005160
[501/5000][530/535][51516] Loss_D: -0.026931 Loss_G: 0.006705 Loss_D_real: -0.008268 Loss_D_fake 0.018663
[501/5000][535/535][51517] Loss_D: -0.026851 Loss_G: -0.019482 Loss_D_real: -0.025582 Loss_D_fake 0.001269
[502/5000][5/535][51518] Loss_D: -0.027746 Loss_G: 0.010389 Loss_D_real: -0.010373 Loss_D_fake 0.017373
[502/5000][10/535][51519] Loss_D: -0.025764 Loss_G: -0.005490 Loss_D_real: -0.000832 Loss_D_fake 0.024932
[502/5000][15/535][51520] Loss_D: -0.026610 Loss_G: 0.010260 Loss_D_real: -0.004392 Loss_D_fake 0.022218
[502/5000][20/535][51521] Loss_D: -0.026381 Loss_G: 0.027890 Loss_D_real: -0.028992 Loss_D_fake -0.002611
[502/5000][25/535][51522] Loss_D: -0.026359 Loss_G: 0.016014 Loss_D_real: -0.009333 Loss_D_fake 0.017026
[502/5000][30/535][51523] Loss_D: -0.028147 Loss_G: 0.016059 Loss_D_real: -0.010751 Loss_D_fake 0.017396
[502/5000][35/535][51524] Loss_D: -0.026474 Loss_G: -0.009208 Loss_D_real: 0.000261 Loss_D_fake 0.026734
[502/5000][40/535][51525] Loss_D: -0.027202 Loss_G: 0.004284 Loss_D_real: -0.014816 Loss_D_fake 0.012386
[502/5000][45/535][51526] Loss_D: -0.026020 Loss_G: 0.023828 Loss_D_real: -0.027240 Loss_D_fake -0.001220
[502/5000][50/535][51527] Loss_D: -0.027912 Loss_G: -0.007213 Loss_D_real: -0.009075 Loss_D_fake 0.018838
[502/5000][55/535][51528] Loss_D: -0.024741 Loss_G: -0.001766 Loss_D_real: -0.001987 Loss_D_fake 0.022753
[502/5000][60/535][51529] Loss_D: -0.025109 Loss_G: 0.013019 Loss_D_real: -0.015176 Loss_D_fake 0.009933
[502/5000][65/535][51530] Loss_D: -0.026132 Loss_G: 0.001474 Loss_D_real: -0.008056 Loss_D_fake 0.018076
[502/5000][70/535][51531] Loss_D: -0.025436 Loss_G: 0.025558 Loss_D_real: -0.029757 Loss_D_fake -0.004321
[502/5000][75/535][51532] Loss_D: -0.026363 Loss_G: -0.005299 Loss_D_real: -0.001238 Loss_D_fake 0.025126
[502/5000][80/535][51533] Loss_D: -0.023437 Loss_G: 0.008473 Loss_D_real: -0.018187 Loss_D_fake 0.005250
[502/5000][85/535][51534] Loss_D: -0.026549 Loss_G: 0.025644 Loss_D_real: -0.026308 Loss_D_fake 0.000241
[502/5000][90/535][51535] Loss_D: -0.026735 Loss_G: 0.012268 Loss_D_real: -0.005190 Loss_D_fake 0.021545
[502/5000][95/535][51536] Loss_D: -0.026700 Loss_G: -0.004243 Loss_D_real: -0.001205 Loss_D_fake 0.025495
[502/5000][100/535][51537] Loss_D: -0.025198 Loss_G: 0.018901 Loss_D_real: -0.019786 Loss_D_fake 0.005412
[502/5000][105/535][51538] Loss_D: -0.026454 Loss_G: -0.005195 Loss_D_real: -0.003126 Loss_D_fake 0.023328
[502/5000][110/535][51539] Loss_D: -0.024715 Loss_G: 0.026374 Loss_D_real: -0.034778 Loss_D_fake -0.010062
[502/5000][115/535][51540] Loss_D: -0.025863 Loss_G: 0.021735 Loss_D_real: -0.027326 Loss_D_fake -0.001463
[502/5000][120/535][51541] Loss_D: -0.026266 Loss_G: 0.012470 Loss_D_real: -0.010314 Loss_D_fake 0.015952
[502/5000][125/535][51542] Loss_D: -0.027190 Loss_G: 0.014406 Loss_D_real: -0.013686 Loss_D_fake 0.013504
[502/5000][130/535][51543] Loss_D: -0.026021 Loss_G: 0.026251 Loss_D_real: -0.035875 Loss_D_fake -0.009855
[502/5000][135/535][51544] Loss_D: -0.027960 Loss_G: -0.004789 Loss_D_real: -0.010786 Loss_D_fake 0.017174
[502/5000][140/535][51545] Loss_D: -0.025737 Loss_G: 0.021133 Loss_D_real: -0.016280 Loss_D_fake 0.009457
[502/5000][145/535][51546] Loss_D: -0.026479 Loss_G: 0.015542 Loss_D_real: -0.007105 Loss_D_fake 0.019373
[502/5000][150/535][51547] Loss_D: -0.025532 Loss_G: 0.028217 Loss_D_real: -0.024097 Loss_D_fake 0.001436
[502/5000][155/535][51548] Loss_D: -0.028361 Loss_G: 0.029567 Loss_D_real: -0.025637 Loss_D_fake 0.002725
[502/5000][160/535][51549] Loss_D: -0.028970 Loss_G: 0.016871 Loss_D_real: -0.015561 Loss_D_fake 0.013409
[502/5000][165/535][51550] Loss_D: -0.026564 Loss_G: 0.029933 Loss_D_real: -0.027683 Loss_D_fake -0.001119
[502/5000][170/535][51551] Loss_D: -0.027065 Loss_G: 0.009567 Loss_D_real: -0.025705 Loss_D_fake 0.001360
[502/5000][175/535][51552] Loss_D: -0.025876 Loss_G: 0.038210 Loss_D_real: -0.034670 Loss_D_fake -0.008794
[502/5000][180/535][51553] Loss_D: -0.027262 Loss_G: 0.007294 Loss_D_real: 0.000456 Loss_D_fake 0.027718
[502/5000][185/535][51554] Loss_D: -0.026219 Loss_G: 0.012498 Loss_D_real: -0.021799 Loss_D_fake 0.004420
[502/5000][190/535][51555] Loss_D: -0.025266 Loss_G: 0.035140 Loss_D_real: -0.040081 Loss_D_fake -0.014815
[502/5000][195/535][51556] Loss_D: -0.025083 Loss_G: -0.007900 Loss_D_real: -0.009116 Loss_D_fake 0.015967
[502/5000][200/535][51557] Loss_D: -0.025591 Loss_G: 0.033090 Loss_D_real: -0.026412 Loss_D_fake -0.000821
[502/5000][205/535][51558] Loss_D: -0.026193 Loss_G: 0.022770 Loss_D_real: -0.018963 Loss_D_fake 0.007229
[502/5000][210/535][51559] Loss_D: -0.027457 Loss_G: 0.025573 Loss_D_real: -0.030236 Loss_D_fake -0.002779
[502/5000][215/535][51560] Loss_D: -0.026916 Loss_G: 0.030460 Loss_D_real: -0.026122 Loss_D_fake 0.000794
[502/5000][220/535][51561] Loss_D: -0.026112 Loss_G: -0.008543 Loss_D_real: -0.001657 Loss_D_fake 0.024455
[502/5000][225/535][51562] Loss_D: -0.026016 Loss_G: 0.016835 Loss_D_real: -0.020352 Loss_D_fake 0.005664
[502/5000][230/535][51563] Loss_D: -0.026672 Loss_G: 0.012560 Loss_D_real: -0.009472 Loss_D_fake 0.017200
[502/5000][235/535][51564] Loss_D: -0.026318 Loss_G: 0.026670 Loss_D_real: -0.013744 Loss_D_fake 0.012575
[502/5000][240/535][51565] Loss_D: -0.024954 Loss_G: 0.005586 Loss_D_real: -0.002864 Loss_D_fake 0.022090
[502/5000][245/535][51566] Loss_D: -0.025829 Loss_G: 0.006165 Loss_D_real: -0.018521 Loss_D_fake 0.007308
[502/5000][250/535][51567] Loss_D: -0.026083 Loss_G: -0.001873 Loss_D_real: -0.008049 Loss_D_fake 0.018034
[502/5000][255/535][51568] Loss_D: -0.025751 Loss_G: 0.015154 Loss_D_real: -0.023177 Loss_D_fake 0.002574
[502/5000][260/535][51569] Loss_D: -0.025225 Loss_G: 0.030496 Loss_D_real: -0.023470 Loss_D_fake 0.001755
[502/5000][265/535][51570] Loss_D: -0.026856 Loss_G: 0.013034 Loss_D_real: -0.006839 Loss_D_fake 0.020018
[502/5000][270/535][51571] Loss_D: -0.026532 Loss_G: -0.006233 Loss_D_real: -0.009477 Loss_D_fake 0.017055
[502/5000][275/535][51572] Loss_D: -0.026638 Loss_G: 0.020388 Loss_D_real: -0.029133 Loss_D_fake -0.002495
[502/5000][280/535][51573] Loss_D: -0.027097 Loss_G: 0.011585 Loss_D_real: -0.014075 Loss_D_fake 0.013021
[502/5000][285/535][51574] Loss_D: -0.027149 Loss_G: 0.023688 Loss_D_real: -0.022797 Loss_D_fake 0.004352
[502/5000][290/535][51575] Loss_D: -0.025073 Loss_G: 0.005595 Loss_D_real: -0.007995 Loss_D_fake 0.017078
[502/5000][295/535][51576] Loss_D: -0.026068 Loss_G: 0.024520 Loss_D_real: -0.019417 Loss_D_fake 0.006652
[502/5000][300/535][51577] Loss_D: -0.026094 Loss_G: 0.023519 Loss_D_real: -0.029106 Loss_D_fake -0.003012
[502/5000][305/535][51578] Loss_D: -0.027812 Loss_G: -0.001152 Loss_D_real: -0.018516 Loss_D_fake 0.009296
[502/5000][310/535][51579] Loss_D: -0.027370 Loss_G: 0.021825 Loss_D_real: -0.021151 Loss_D_fake 0.006220
[502/5000][315/535][51580] Loss_D: -0.026322 Loss_G: 0.033803 Loss_D_real: -0.032313 Loss_D_fake -0.005990
[502/5000][320/535][51581] Loss_D: -0.026948 Loss_G: 0.010898 Loss_D_real: -0.015139 Loss_D_fake 0.011809
[502/5000][325/535][51582] Loss_D: -0.027227 Loss_G: 0.004134 Loss_D_real: -0.003970 Loss_D_fake 0.023258
[502/5000][330/535][51583] Loss_D: -0.026488 Loss_G: 0.023314 Loss_D_real: -0.027722 Loss_D_fake -0.001233
[502/5000][335/535][51584] Loss_D: -0.025518 Loss_G: 0.038717 Loss_D_real: -0.027856 Loss_D_fake -0.002337
[502/5000][340/535][51585] Loss_D: -0.028043 Loss_G: 0.012642 Loss_D_real: -0.004642 Loss_D_fake 0.023401
[502/5000][345/535][51586] Loss_D: -0.027303 Loss_G: 0.030348 Loss_D_real: -0.023482 Loss_D_fake 0.003821
[502/5000][350/535][51587] Loss_D: -0.027325 Loss_G: 0.017376 Loss_D_real: -0.014197 Loss_D_fake 0.013128
[502/5000][355/535][51588] Loss_D: -0.027321 Loss_G: 0.019564 Loss_D_real: -0.017148 Loss_D_fake 0.010173
[502/5000][360/535][51589] Loss_D: -0.027638 Loss_G: 0.005923 Loss_D_real: -0.009097 Loss_D_fake 0.018541
[502/5000][365/535][51590] Loss_D: -0.027103 Loss_G: 0.010015 Loss_D_real: -0.016579 Loss_D_fake 0.010524
[502/5000][370/535][51591] Loss_D: -0.026029 Loss_G: 0.027440 Loss_D_real: -0.033802 Loss_D_fake -0.007772
[502/5000][375/535][51592] Loss_D: -0.028112 Loss_G: 0.022761 Loss_D_real: -0.018714 Loss_D_fake 0.009398
[502/5000][380/535][51593] Loss_D: -0.026547 Loss_G: 0.001975 Loss_D_real: -0.007355 Loss_D_fake 0.019191
[502/5000][385/535][51594] Loss_D: -0.026387 Loss_G: 0.005656 Loss_D_real: -0.008642 Loss_D_fake 0.017745
[502/5000][390/535][51595] Loss_D: -0.026651 Loss_G: 0.029011 Loss_D_real: -0.028560 Loss_D_fake -0.001909
[502/5000][395/535][51596] Loss_D: -0.024123 Loss_G: 0.000671 Loss_D_real: -0.008369 Loss_D_fake 0.015754
[502/5000][400/535][51597] Loss_D: -0.028139 Loss_G: -0.007182 Loss_D_real: -0.005946 Loss_D_fake 0.022193
[502/5000][405/535][51598] Loss_D: -0.026090 Loss_G: 0.011487 Loss_D_real: -0.015934 Loss_D_fake 0.010156
[502/5000][410/535][51599] Loss_D: -0.028250 Loss_G: 0.032405 Loss_D_real: -0.023884 Loss_D_fake 0.004367
[502/5000][415/535][51600] Loss_D: -0.025295 Loss_G: 0.033334 Loss_D_real: -0.030894 Loss_D_fake -0.005599
[502/5000][420/535][51601] Loss_D: -0.027181 Loss_G: 0.004962 Loss_D_real: -0.008941 Loss_D_fake 0.018240
[502/5000][425/535][51602] Loss_D: -0.024879 Loss_G: 0.031010 Loss_D_real: -0.033504 Loss_D_fake -0.008625
[502/5000][430/535][51603] Loss_D: -0.028373 Loss_G: 0.013306 Loss_D_real: -0.018256 Loss_D_fake 0.010118
[502/5000][435/535][51604] Loss_D: -0.027471 Loss_G: 0.010114 Loss_D_real: -0.005483 Loss_D_fake 0.021988
[502/5000][440/535][51605] Loss_D: -0.027383 Loss_G: -0.001059 Loss_D_real: -0.009209 Loss_D_fake 0.018174
[502/5000][445/535][51606] Loss_D: -0.026897 Loss_G: 0.018384 Loss_D_real: -0.012830 Loss_D_fake 0.014066
[502/5000][450/535][51607] Loss_D: -0.026468 Loss_G: 0.015554 Loss_D_real: -0.021480 Loss_D_fake 0.004988
[502/5000][455/535][51608] Loss_D: -0.025811 Loss_G: 0.014372 Loss_D_real: -0.016673 Loss_D_fake 0.009138
[502/5000][460/535][51609] Loss_D: -0.028047 Loss_G: 0.009931 Loss_D_real: -0.017342 Loss_D_fake 0.010705
[502/5000][465/535][51610] Loss_D: -0.026452 Loss_G: 0.018403 Loss_D_real: -0.023710 Loss_D_fake 0.002743
[502/5000][470/535][51611] Loss_D: -0.026697 Loss_G: 0.037315 Loss_D_real: -0.038086 Loss_D_fake -0.011389
[502/5000][475/535][51612] Loss_D: -0.027520 Loss_G: 0.028338 Loss_D_real: -0.018528 Loss_D_fake 0.008991
[502/5000][480/535][51613] Loss_D: -0.026928 Loss_G: 0.020774 Loss_D_real: -0.031190 Loss_D_fake -0.004262
[502/5000][485/535][51614] Loss_D: -0.027213 Loss_G: -0.005460 Loss_D_real: -0.001748 Loss_D_fake 0.025465
[502/5000][490/535][51615] Loss_D: -0.026237 Loss_G: 0.022264 Loss_D_real: -0.026408 Loss_D_fake -0.000171
[502/5000][495/535][51616] Loss_D: -0.025039 Loss_G: 0.021375 Loss_D_real: -0.021223 Loss_D_fake 0.003816
[502/5000][500/535][51617] Loss_D: -0.026416 Loss_G: 0.031029 Loss_D_real: -0.028015 Loss_D_fake -0.001599
[502/5000][505/535][51618] Loss_D: -0.026854 Loss_G: 0.026832 Loss_D_real: -0.026324 Loss_D_fake 0.000531
[502/5000][510/535][51619] Loss_D: -0.027180 Loss_G: 0.017526 Loss_D_real: -0.019447 Loss_D_fake 0.007733
[502/5000][515/535][51620] Loss_D: -0.026958 Loss_G: 0.011055 Loss_D_real: -0.021317 Loss_D_fake 0.005641
[502/5000][520/535][51621] Loss_D: -0.026814 Loss_G: 0.014824 Loss_D_real: -0.027818 Loss_D_fake -0.001004
[502/5000][525/535][51622] Loss_D: -0.027371 Loss_G: 0.036820 Loss_D_real: -0.032556 Loss_D_fake -0.005186
[502/5000][530/535][51623] Loss_D: -0.027253 Loss_G: 0.014334 Loss_D_real: -0.025861 Loss_D_fake 0.001391
[502/5000][535/535][51624] Loss_D: -0.024356 Loss_G: 0.003036 Loss_D_real: -0.018486 Loss_D_fake 0.005870
[503/5000][5/535][51625] Loss_D: -0.027113 Loss_G: 0.009723 Loss_D_real: -0.008183 Loss_D_fake 0.018929
[503/5000][10/535][51626] Loss_D: -0.026079 Loss_G: 0.013490 Loss_D_real: -0.013198 Loss_D_fake 0.012881
[503/5000][15/535][51627] Loss_D: -0.025815 Loss_G: 0.015293 Loss_D_real: -0.011019 Loss_D_fake 0.014796
[503/5000][20/535][51628] Loss_D: -0.028637 Loss_G: 0.038132 Loss_D_real: -0.024626 Loss_D_fake 0.004011
[503/5000][25/535][51629] Loss_D: -0.026076 Loss_G: 0.001796 Loss_D_real: -0.007096 Loss_D_fake 0.018980
[503/5000][30/535][51630] Loss_D: -0.026559 Loss_G: 0.018811 Loss_D_real: -0.011094 Loss_D_fake 0.015464
[503/5000][35/535][51631] Loss_D: -0.025834 Loss_G: -0.009111 Loss_D_real: 0.010081 Loss_D_fake 0.035915
[503/5000][40/535][51632] Loss_D: -0.026560 Loss_G: 0.029096 Loss_D_real: -0.032742 Loss_D_fake -0.006182
[503/5000][45/535][51633] Loss_D: -0.026962 Loss_G: 0.003617 Loss_D_real: -0.001776 Loss_D_fake 0.025185
[503/5000][50/535][51634] Loss_D: -0.025708 Loss_G: 0.023734 Loss_D_real: -0.023788 Loss_D_fake 0.001920
[503/5000][55/535][51635] Loss_D: -0.026595 Loss_G: -0.008617 Loss_D_real: -0.000260 Loss_D_fake 0.026334
[503/5000][60/535][51636] Loss_D: -0.025282 Loss_G: 0.028081 Loss_D_real: -0.031970 Loss_D_fake -0.006688
[503/5000][65/535][51637] Loss_D: -0.026370 Loss_G: 0.025451 Loss_D_real: -0.023289 Loss_D_fake 0.003081
[503/5000][70/535][51638] Loss_D: -0.026189 Loss_G: 0.008994 Loss_D_real: -0.016077 Loss_D_fake 0.010112
[503/5000][75/535][51639] Loss_D: -0.028060 Loss_G: 0.013357 Loss_D_real: -0.010081 Loss_D_fake 0.017978
[503/5000][80/535][51640] Loss_D: -0.026072 Loss_G: 0.019897 Loss_D_real: -0.022840 Loss_D_fake 0.003232
[503/5000][85/535][51641] Loss_D: -0.025636 Loss_G: 0.022746 Loss_D_real: -0.021077 Loss_D_fake 0.004559
[503/5000][90/535][51642] Loss_D: -0.027824 Loss_G: 0.021850 Loss_D_real: -0.027049 Loss_D_fake 0.000775
[503/5000][95/535][51643] Loss_D: -0.025739 Loss_G: 0.010119 Loss_D_real: -0.016113 Loss_D_fake 0.009626
[503/5000][100/535][51644] Loss_D: -0.025850 Loss_G: 0.014032 Loss_D_real: -0.024283 Loss_D_fake 0.001567
[503/5000][105/535][51645] Loss_D: -0.026975 Loss_G: 0.014529 Loss_D_real: -0.030484 Loss_D_fake -0.003508
[503/5000][110/535][51646] Loss_D: -0.026048 Loss_G: 0.034312 Loss_D_real: -0.030442 Loss_D_fake -0.004394
[503/5000][115/535][51647] Loss_D: -0.026507 Loss_G: 0.031598 Loss_D_real: -0.036552 Loss_D_fake -0.010044
[503/5000][120/535][51648] Loss_D: -0.026072 Loss_G: 0.021337 Loss_D_real: -0.017837 Loss_D_fake 0.008236
[503/5000][125/535][51649] Loss_D: -0.027552 Loss_G: 0.008837 Loss_D_real: 0.000093 Loss_D_fake 0.027644
[503/5000][130/535][51650] Loss_D: -0.026468 Loss_G: 0.015223 Loss_D_real: -0.023359 Loss_D_fake 0.003109
[503/5000][135/535][51651] Loss_D: -0.025018 Loss_G: 0.035581 Loss_D_real: -0.032995 Loss_D_fake -0.007977
[503/5000][140/535][51652] Loss_D: -0.026595 Loss_G: -0.002440 Loss_D_real: -0.007401 Loss_D_fake 0.019194
[503/5000][145/535][51653] Loss_D: -0.026407 Loss_G: 0.022037 Loss_D_real: -0.026050 Loss_D_fake 0.000357
[503/5000][150/535][51654] Loss_D: -0.027232 Loss_G: 0.016199 Loss_D_real: -0.013138 Loss_D_fake 0.014095
[503/5000][155/535][51655] Loss_D: -0.026186 Loss_G: 0.002158 Loss_D_real: -0.007590 Loss_D_fake 0.018596
[503/5000][160/535][51656] Loss_D: -0.025919 Loss_G: 0.016397 Loss_D_real: -0.017908 Loss_D_fake 0.008011
[503/5000][165/535][51657] Loss_D: -0.025299 Loss_G: 0.019525 Loss_D_real: -0.015834 Loss_D_fake 0.009465
[503/5000][170/535][51658] Loss_D: -0.024344 Loss_G: 0.003253 Loss_D_real: -0.000509 Loss_D_fake 0.023836
[503/5000][175/535][51659] Loss_D: -0.025663 Loss_G: -0.007316 Loss_D_real: -0.005461 Loss_D_fake 0.020203
[503/5000][180/535][51660] Loss_D: -0.025374 Loss_G: 0.028346 Loss_D_real: -0.025871 Loss_D_fake -0.000497
[503/5000][185/535][51661] Loss_D: -0.026517 Loss_G: 0.008251 Loss_D_real: -0.007428 Loss_D_fake 0.019089
[503/5000][190/535][51662] Loss_D: -0.025185 Loss_G: 0.024987 Loss_D_real: -0.020765 Loss_D_fake 0.004420
[503/5000][195/535][51663] Loss_D: -0.025838 Loss_G: 0.001533 Loss_D_real: -0.010251 Loss_D_fake 0.015586
[503/5000][200/535][51664] Loss_D: -0.025713 Loss_G: 0.003643 Loss_D_real: -0.023468 Loss_D_fake 0.002246
[503/5000][205/535][51665] Loss_D: -0.025725 Loss_G: 0.038280 Loss_D_real: -0.035044 Loss_D_fake -0.009319
[503/5000][210/535][51666] Loss_D: -0.027278 Loss_G: 0.003991 Loss_D_real: -0.011271 Loss_D_fake 0.016007
[503/5000][215/535][51667] Loss_D: -0.025507 Loss_G: 0.025236 Loss_D_real: -0.024116 Loss_D_fake 0.001391
[503/5000][220/535][51668] Loss_D: -0.025747 Loss_G: -0.013788 Loss_D_real: 0.000060 Loss_D_fake 0.025807
[503/5000][225/535][51669] Loss_D: -0.025502 Loss_G: 0.023374 Loss_D_real: -0.016368 Loss_D_fake 0.009133
[503/5000][230/535][51670] Loss_D: -0.026936 Loss_G: 0.018069 Loss_D_real: -0.020106 Loss_D_fake 0.006830
[503/5000][235/535][51671] Loss_D: -0.026877 Loss_G: 0.022071 Loss_D_real: -0.021019 Loss_D_fake 0.005858
[503/5000][240/535][51672] Loss_D: -0.027102 Loss_G: 0.023044 Loss_D_real: -0.023962 Loss_D_fake 0.003140
[503/5000][245/535][51673] Loss_D: -0.026202 Loss_G: -0.000103 Loss_D_real: -0.009682 Loss_D_fake 0.016520
[503/5000][250/535][51674] Loss_D: -0.026254 Loss_G: 0.018537 Loss_D_real: -0.026812 Loss_D_fake -0.000558
[503/5000][255/535][51675] Loss_D: -0.025887 Loss_G: 0.030831 Loss_D_real: -0.028443 Loss_D_fake -0.002556
[503/5000][260/535][51676] Loss_D: -0.027617 Loss_G: 0.003272 Loss_D_real: -0.004496 Loss_D_fake 0.023121
[503/5000][265/535][51677] Loss_D: -0.025741 Loss_G: 0.005895 Loss_D_real: -0.009083 Loss_D_fake 0.016658
[503/5000][270/535][51678] Loss_D: -0.025782 Loss_G: 0.013746 Loss_D_real: -0.016699 Loss_D_fake 0.009083
[503/5000][275/535][51679] Loss_D: -0.025728 Loss_G: -0.009257 Loss_D_real: 0.006768 Loss_D_fake 0.032497
[503/5000][280/535][51680] Loss_D: -0.025163 Loss_G: 0.026048 Loss_D_real: -0.030803 Loss_D_fake -0.005640
[503/5000][285/535][51681] Loss_D: -0.026999 Loss_G: 0.002788 Loss_D_real: -0.014738 Loss_D_fake 0.012261
[503/5000][290/535][51682] Loss_D: -0.025431 Loss_G: 0.034488 Loss_D_real: -0.033097 Loss_D_fake -0.007666
[503/5000][295/535][51683] Loss_D: -0.027080 Loss_G: 0.027209 Loss_D_real: -0.017478 Loss_D_fake 0.009601
[503/5000][300/535][51684] Loss_D: -0.027401 Loss_G: 0.019847 Loss_D_real: -0.029388 Loss_D_fake -0.001987
[503/5000][305/535][51685] Loss_D: -0.026750 Loss_G: 0.027515 Loss_D_real: -0.024720 Loss_D_fake 0.002030
[503/5000][310/535][51686] Loss_D: -0.026436 Loss_G: 0.003096 Loss_D_real: -0.006180 Loss_D_fake 0.020256
[503/5000][315/535][51687] Loss_D: -0.026709 Loss_G: 0.007021 Loss_D_real: -0.011980 Loss_D_fake 0.014729
[503/5000][320/535][51688] Loss_D: -0.026340 Loss_G: 0.044778 Loss_D_real: -0.034652 Loss_D_fake -0.008312
[503/5000][325/535][51689] Loss_D: -0.026409 Loss_G: 0.027765 Loss_D_real: -0.031974 Loss_D_fake -0.005565
[503/5000][330/535][51690] Loss_D: -0.025725 Loss_G: 0.019999 Loss_D_real: -0.023654 Loss_D_fake 0.002071
[503/5000][335/535][51691] Loss_D: -0.028273 Loss_G: 0.010234 Loss_D_real: -0.012226 Loss_D_fake 0.016047
[503/5000][340/535][51692] Loss_D: -0.026905 Loss_G: 0.017435 Loss_D_real: -0.015380 Loss_D_fake 0.011526
[503/5000][345/535][51693] Loss_D: -0.027632 Loss_G: 0.021275 Loss_D_real: -0.006778 Loss_D_fake 0.020854
[503/5000][350/535][51694] Loss_D: -0.027465 Loss_G: -0.001819 Loss_D_real: 0.002514 Loss_D_fake 0.029980
[503/5000][355/535][51695] Loss_D: -0.026805 Loss_G: 0.017219 Loss_D_real: -0.025016 Loss_D_fake 0.001789
[503/5000][360/535][51696] Loss_D: -0.027006 Loss_G: 0.022898 Loss_D_real: -0.025049 Loss_D_fake 0.001957
[503/5000][365/535][51697] Loss_D: -0.027008 Loss_G: 0.007611 Loss_D_real: -0.023598 Loss_D_fake 0.003410
[503/5000][370/535][51698] Loss_D: -0.026040 Loss_G: 0.008446 Loss_D_real: -0.019650 Loss_D_fake 0.006390
[503/5000][375/535][51699] Loss_D: -0.024734 Loss_G: 0.048518 Loss_D_real: -0.039681 Loss_D_fake -0.014946
[503/5000][380/535][51700] Loss_D: -0.025898 Loss_G: 0.036406 Loss_D_real: -0.031021 Loss_D_fake -0.005123
[503/5000][385/535][51701] Loss_D: -0.027740 Loss_G: 0.012400 Loss_D_real: -0.018561 Loss_D_fake 0.009179
[503/5000][390/535][51702] Loss_D: -0.026952 Loss_G: 0.018081 Loss_D_real: -0.021245 Loss_D_fake 0.005707
[503/5000][395/535][51703] Loss_D: -0.026785 Loss_G: 0.009754 Loss_D_real: -0.010445 Loss_D_fake 0.016339
[503/5000][400/535][51704] Loss_D: -0.026233 Loss_G: -0.011078 Loss_D_real: 0.002473 Loss_D_fake 0.028707
[503/5000][405/535][51705] Loss_D: -0.024760 Loss_G: 0.030419 Loss_D_real: -0.031922 Loss_D_fake -0.007162
[503/5000][410/535][51706] Loss_D: -0.026924 Loss_G: 0.015378 Loss_D_real: -0.011722 Loss_D_fake 0.015202
[503/5000][415/535][51707] Loss_D: -0.027874 Loss_G: 0.017334 Loss_D_real: -0.033825 Loss_D_fake -0.005950
[503/5000][420/535][51708] Loss_D: -0.025052 Loss_G: 0.032492 Loss_D_real: -0.027986 Loss_D_fake -0.002934
[503/5000][425/535][51709] Loss_D: -0.027559 Loss_G: 0.027358 Loss_D_real: -0.021218 Loss_D_fake 0.006341
[503/5000][430/535][51710] Loss_D: -0.026049 Loss_G: 0.031345 Loss_D_real: -0.026785 Loss_D_fake -0.000736
[503/5000][435/535][51711] Loss_D: -0.026086 Loss_G: -0.003476 Loss_D_real: -0.017298 Loss_D_fake 0.008788
[503/5000][440/535][51712] Loss_D: -0.025176 Loss_G: 0.025009 Loss_D_real: -0.016320 Loss_D_fake 0.008856
[503/5000][445/535][51713] Loss_D: -0.027507 Loss_G: -0.006334 Loss_D_real: -0.010418 Loss_D_fake 0.017089
[503/5000][450/535][51714] Loss_D: -0.027706 Loss_G: 0.033304 Loss_D_real: -0.023035 Loss_D_fake 0.004671
[503/5000][455/535][51715] Loss_D: -0.024889 Loss_G: -0.015445 Loss_D_real: 0.009054 Loss_D_fake 0.033943
[503/5000][460/535][51716] Loss_D: -0.024997 Loss_G: 0.016542 Loss_D_real: -0.030174 Loss_D_fake -0.005177
[503/5000][465/535][51717] Loss_D: -0.024875 Loss_G: 0.015305 Loss_D_real: -0.007674 Loss_D_fake 0.017201
[503/5000][470/535][51718] Loss_D: -0.026088 Loss_G: 0.024123 Loss_D_real: -0.021518 Loss_D_fake 0.004570
[503/5000][475/535][51719] Loss_D: -0.026850 Loss_G: -0.003210 Loss_D_real: -0.008183 Loss_D_fake 0.018667
[503/5000][480/535][51720] Loss_D: -0.026730 Loss_G: 0.015408 Loss_D_real: -0.012107 Loss_D_fake 0.014623
[503/5000][485/535][51721] Loss_D: -0.027148 Loss_G: 0.030401 Loss_D_real: -0.023973 Loss_D_fake 0.003175
[503/5000][490/535][51722] Loss_D: -0.027002 Loss_G: 0.000263 Loss_D_real: 0.006339 Loss_D_fake 0.033341
[503/5000][495/535][51723] Loss_D: -0.025084 Loss_G: 0.035494 Loss_D_real: -0.039200 Loss_D_fake -0.014117
[503/5000][500/535][51724] Loss_D: -0.025576 Loss_G: 0.005112 Loss_D_real: -0.001546 Loss_D_fake 0.024030
[503/5000][505/535][51725] Loss_D: -0.026635 Loss_G: 0.004793 Loss_D_real: -0.013616 Loss_D_fake 0.013019
[503/5000][510/535][51726] Loss_D: -0.027226 Loss_G: 0.006967 Loss_D_real: -0.002799 Loss_D_fake 0.024426
[503/5000][515/535][51727] Loss_D: -0.025395 Loss_G: 0.026008 Loss_D_real: -0.030925 Loss_D_fake -0.005529
[503/5000][520/535][51728] Loss_D: -0.026770 Loss_G: -0.002577 Loss_D_real: -0.000751 Loss_D_fake 0.026019
[503/5000][525/535][51729] Loss_D: -0.027064 Loss_G: 0.017545 Loss_D_real: -0.018503 Loss_D_fake 0.008562
[503/5000][530/535][51730] Loss_D: -0.026669 Loss_G: 0.004610 Loss_D_real: -0.016775 Loss_D_fake 0.009893
[503/5000][535/535][51731] Loss_D: -0.031119 Loss_G: -0.011695 Loss_D_real: -0.019673 Loss_D_fake 0.011446
[504/5000][5/535][51732] Loss_D: -0.025311 Loss_G: -0.004452 Loss_D_real: -0.006499 Loss_D_fake 0.018812
[504/5000][10/535][51733] Loss_D: -0.025428 Loss_G: 0.026608 Loss_D_real: -0.024062 Loss_D_fake 0.001366
[504/5000][15/535][51734] Loss_D: -0.026761 Loss_G: 0.015363 Loss_D_real: -0.017636 Loss_D_fake 0.009126
[504/5000][20/535][51735] Loss_D: -0.026832 Loss_G: 0.023532 Loss_D_real: -0.027536 Loss_D_fake -0.000704
[504/5000][25/535][51736] Loss_D: -0.026732 Loss_G: 0.006443 Loss_D_real: -0.010989 Loss_D_fake 0.015743
[504/5000][30/535][51737] Loss_D: -0.026270 Loss_G: 0.031406 Loss_D_real: -0.029959 Loss_D_fake -0.003689
[504/5000][35/535][51738] Loss_D: -0.028054 Loss_G: 0.015749 Loss_D_real: -0.012672 Loss_D_fake 0.015383
[504/5000][40/535][51739] Loss_D: -0.025305 Loss_G: 0.001903 Loss_D_real: -0.007690 Loss_D_fake 0.017615
[504/5000][45/535][51740] Loss_D: -0.025949 Loss_G: 0.015746 Loss_D_real: -0.015308 Loss_D_fake 0.010641
[504/5000][50/535][51741] Loss_D: -0.028318 Loss_G: 0.013699 Loss_D_real: -0.017107 Loss_D_fake 0.011211
[504/5000][55/535][51742] Loss_D: -0.026988 Loss_G: 0.020052 Loss_D_real: -0.017213 Loss_D_fake 0.009775
[504/5000][60/535][51743] Loss_D: -0.025517 Loss_G: 0.034756 Loss_D_real: -0.029959 Loss_D_fake -0.004442
[504/5000][65/535][51744] Loss_D: -0.026791 Loss_G: 0.014668 Loss_D_real: -0.016725 Loss_D_fake 0.010065
[504/5000][70/535][51745] Loss_D: -0.026085 Loss_G: 0.021603 Loss_D_real: -0.031462 Loss_D_fake -0.005376
[504/5000][75/535][51746] Loss_D: -0.025761 Loss_G: -0.004756 Loss_D_real: -0.018390 Loss_D_fake 0.007371
[504/5000][80/535][51747] Loss_D: -0.026248 Loss_G: 0.004258 Loss_D_real: 0.004058 Loss_D_fake 0.030306
[504/5000][85/535][51748] Loss_D: -0.026153 Loss_G: 0.021142 Loss_D_real: -0.014712 Loss_D_fake 0.011441
[504/5000][90/535][51749] Loss_D: -0.025212 Loss_G: 0.019194 Loss_D_real: -0.026810 Loss_D_fake -0.001599
[504/5000][95/535][51750] Loss_D: -0.025151 Loss_G: -0.011591 Loss_D_real: 0.006154 Loss_D_fake 0.031305
[504/5000][100/535][51751] Loss_D: -0.025400 Loss_G: 0.011018 Loss_D_real: -0.013631 Loss_D_fake 0.011768
[504/5000][105/535][51752] Loss_D: -0.024946 Loss_G: 0.022861 Loss_D_real: -0.028383 Loss_D_fake -0.003436
[504/5000][110/535][51753] Loss_D: -0.027149 Loss_G: 0.039497 Loss_D_real: -0.028233 Loss_D_fake -0.001084
[504/5000][115/535][51754] Loss_D: -0.027095 Loss_G: -0.008689 Loss_D_real: -0.003851 Loss_D_fake 0.023244
[504/5000][120/535][51755] Loss_D: -0.025126 Loss_G: 0.018537 Loss_D_real: -0.028105 Loss_D_fake -0.002980
[504/5000][125/535][51756] Loss_D: -0.026654 Loss_G: 0.012626 Loss_D_real: -0.012692 Loss_D_fake 0.013962
[504/5000][130/535][51757] Loss_D: -0.026331 Loss_G: 0.024835 Loss_D_real: -0.023902 Loss_D_fake 0.002429
[504/5000][135/535][51758] Loss_D: -0.027119 Loss_G: -0.001688 Loss_D_real: -0.001710 Loss_D_fake 0.025409
[504/5000][140/535][51759] Loss_D: -0.025729 Loss_G: 0.024769 Loss_D_real: -0.021863 Loss_D_fake 0.003866
[504/5000][145/535][51760] Loss_D: -0.027673 Loss_G: 0.019707 Loss_D_real: -0.017813 Loss_D_fake 0.009860
[504/5000][150/535][51761] Loss_D: -0.027024 Loss_G: -0.002522 Loss_D_real: -0.005919 Loss_D_fake 0.021105
[504/5000][155/535][51762] Loss_D: -0.026177 Loss_G: 0.015142 Loss_D_real: -0.027394 Loss_D_fake -0.001217
[504/5000][160/535][51763] Loss_D: -0.024222 Loss_G: -0.016746 Loss_D_real: -0.001117 Loss_D_fake 0.023104
[504/5000][165/535][51764] Loss_D: -0.025738 Loss_G: 0.020022 Loss_D_real: -0.026312 Loss_D_fake -0.000574
[504/5000][170/535][51765] Loss_D: -0.026431 Loss_G: 0.008405 Loss_D_real: -0.015364 Loss_D_fake 0.011068
[504/5000][175/535][51766] Loss_D: -0.028072 Loss_G: 0.008296 Loss_D_real: -0.014394 Loss_D_fake 0.013678
[504/5000][180/535][51767] Loss_D: -0.025499 Loss_G: 0.034865 Loss_D_real: -0.028907 Loss_D_fake -0.003409
[504/5000][185/535][51768] Loss_D: -0.026040 Loss_G: 0.030242 Loss_D_real: -0.030056 Loss_D_fake -0.004016
[504/5000][190/535][51769] Loss_D: -0.027818 Loss_G: 0.005552 Loss_D_real: -0.008320 Loss_D_fake 0.019498
[504/5000][195/535][51770] Loss_D: -0.025750 Loss_G: -0.001578 Loss_D_real: -0.004126 Loss_D_fake 0.021623
[504/5000][200/535][51771] Loss_D: -0.026207 Loss_G: 0.009875 Loss_D_real: -0.017275 Loss_D_fake 0.008932
[504/5000][205/535][51772] Loss_D: -0.024898 Loss_G: 0.032917 Loss_D_real: -0.024068 Loss_D_fake 0.000830
[504/5000][210/535][51773] Loss_D: -0.024237 Loss_G: 0.021268 Loss_D_real: -0.024954 Loss_D_fake -0.000718
[504/5000][215/535][51774] Loss_D: -0.024217 Loss_G: 0.030729 Loss_D_real: -0.030174 Loss_D_fake -0.005957
[504/5000][220/535][51775] Loss_D: -0.026972 Loss_G: 0.009006 Loss_D_real: -0.017363 Loss_D_fake 0.009609
[504/5000][225/535][51776] Loss_D: -0.027084 Loss_G: 0.031441 Loss_D_real: -0.029745 Loss_D_fake -0.002661
[504/5000][230/535][51777] Loss_D: -0.027017 Loss_G: 0.023617 Loss_D_real: -0.023425 Loss_D_fake 0.003592
[504/5000][235/535][51778] Loss_D: -0.026996 Loss_G: 0.000100 Loss_D_real: -0.005169 Loss_D_fake 0.021827
[504/5000][240/535][51779] Loss_D: -0.026203 Loss_G: 0.029375 Loss_D_real: -0.024568 Loss_D_fake 0.001635
[504/5000][245/535][51780] Loss_D: -0.026425 Loss_G: 0.034266 Loss_D_real: -0.035290 Loss_D_fake -0.008865
[504/5000][250/535][51781] Loss_D: -0.026029 Loss_G: 0.004020 Loss_D_real: -0.004289 Loss_D_fake 0.021740
[504/5000][255/535][51782] Loss_D: -0.026786 Loss_G: 0.014400 Loss_D_real: -0.017482 Loss_D_fake 0.009304
[504/5000][260/535][51783] Loss_D: -0.026150 Loss_G: 0.006036 Loss_D_real: -0.013755 Loss_D_fake 0.012396
[504/5000][265/535][51784] Loss_D: -0.026309 Loss_G: -0.003754 Loss_D_real: -0.006378 Loss_D_fake 0.019931
[504/5000][270/535][51785] Loss_D: -0.026058 Loss_G: 0.012224 Loss_D_real: -0.010825 Loss_D_fake 0.015233
[504/5000][275/535][51786] Loss_D: -0.025598 Loss_G: 0.027295 Loss_D_real: -0.032578 Loss_D_fake -0.006980
[504/5000][280/535][51787] Loss_D: -0.026355 Loss_G: 0.016937 Loss_D_real: -0.018759 Loss_D_fake 0.007596
[504/5000][285/535][51788] Loss_D: -0.027511 Loss_G: 0.026884 Loss_D_real: -0.030804 Loss_D_fake -0.003293
[504/5000][290/535][51789] Loss_D: -0.027785 Loss_G: -0.001815 Loss_D_real: -0.006760 Loss_D_fake 0.021024
[504/5000][295/535][51790] Loss_D: -0.026185 Loss_G: -0.005539 Loss_D_real: -0.016847 Loss_D_fake 0.009339
[504/5000][300/535][51791] Loss_D: -0.026409 Loss_G: 0.017872 Loss_D_real: -0.028182 Loss_D_fake -0.001773
[504/5000][305/535][51792] Loss_D: -0.026221 Loss_G: 0.021977 Loss_D_real: -0.021910 Loss_D_fake 0.004311
[504/5000][310/535][51793] Loss_D: -0.027776 Loss_G: 0.026902 Loss_D_real: -0.015487 Loss_D_fake 0.012289
[504/5000][315/535][51794] Loss_D: -0.026622 Loss_G: -0.007163 Loss_D_real: -0.005262 Loss_D_fake 0.021359
[504/5000][320/535][51795] Loss_D: -0.026708 Loss_G: 0.003901 Loss_D_real: -0.006306 Loss_D_fake 0.020402
[504/5000][325/535][51796] Loss_D: -0.026780 Loss_G: 0.009433 Loss_D_real: -0.007322 Loss_D_fake 0.019458
[504/5000][330/535][51797] Loss_D: -0.025236 Loss_G: 0.016594 Loss_D_real: -0.023312 Loss_D_fake 0.001924
[504/5000][335/535][51798] Loss_D: -0.026004 Loss_G: 0.003329 Loss_D_real: -0.003446 Loss_D_fake 0.022558
[504/5000][340/535][51799] Loss_D: -0.026653 Loss_G: 0.011816 Loss_D_real: -0.009752 Loss_D_fake 0.016901
[504/5000][345/535][51800] Loss_D: -0.026595 Loss_G: 0.017193 Loss_D_real: -0.019344 Loss_D_fake 0.007251
[504/5000][350/535][51801] Loss_D: -0.026280 Loss_G: 0.007305 Loss_D_real: -0.004573 Loss_D_fake 0.021708
[504/5000][355/535][51802] Loss_D: -0.026338 Loss_G: -0.010508 Loss_D_real: -0.008207 Loss_D_fake 0.018131
[504/5000][360/535][51803] Loss_D: -0.027346 Loss_G: -0.005309 Loss_D_real: -0.014300 Loss_D_fake 0.013046
[504/5000][365/535][51804] Loss_D: -0.026626 Loss_G: 0.013632 Loss_D_real: -0.021887 Loss_D_fake 0.004739
[504/5000][370/535][51805] Loss_D: -0.026863 Loss_G: 0.011944 Loss_D_real: -0.000764 Loss_D_fake 0.026100
[504/5000][375/535][51806] Loss_D: -0.025623 Loss_G: 0.008986 Loss_D_real: -0.004403 Loss_D_fake 0.021221
[504/5000][380/535][51807] Loss_D: -0.027268 Loss_G: 0.021823 Loss_D_real: -0.016462 Loss_D_fake 0.010806
[504/5000][385/535][51808] Loss_D: -0.025973 Loss_G: 0.020837 Loss_D_real: -0.038156 Loss_D_fake -0.012183
[504/5000][390/535][51809] Loss_D: -0.027263 Loss_G: 0.011419 Loss_D_real: -0.022672 Loss_D_fake 0.004591
[504/5000][395/535][51810] Loss_D: -0.027336 Loss_G: 0.026258 Loss_D_real: -0.022454 Loss_D_fake 0.004882
[504/5000][400/535][51811] Loss_D: -0.026199 Loss_G: 0.007050 Loss_D_real: -0.011887 Loss_D_fake 0.014312
[504/5000][405/535][51812] Loss_D: -0.025433 Loss_G: -0.004891 Loss_D_real: -0.000125 Loss_D_fake 0.025308
[504/5000][410/535][51813] Loss_D: -0.025634 Loss_G: 0.022382 Loss_D_real: -0.030233 Loss_D_fake -0.004599
[504/5000][415/535][51814] Loss_D: -0.024300 Loss_G: 0.037334 Loss_D_real: -0.036734 Loss_D_fake -0.012434
[504/5000][420/535][51815] Loss_D: -0.025350 Loss_G: 0.019651 Loss_D_real: -0.027284 Loss_D_fake -0.001933
[504/5000][425/535][51816] Loss_D: -0.026363 Loss_G: -0.000709 Loss_D_real: -0.017298 Loss_D_fake 0.009065
[504/5000][430/535][51817] Loss_D: -0.026533 Loss_G: 0.018935 Loss_D_real: -0.018353 Loss_D_fake 0.008180
[504/5000][435/535][51818] Loss_D: -0.028525 Loss_G: 0.028169 Loss_D_real: -0.022225 Loss_D_fake 0.006300
[504/5000][440/535][51819] Loss_D: -0.026539 Loss_G: 0.025287 Loss_D_real: -0.020556 Loss_D_fake 0.005983
[504/5000][445/535][51820] Loss_D: -0.024381 Loss_G: 0.045018 Loss_D_real: -0.037874 Loss_D_fake -0.013493
[504/5000][450/535][51821] Loss_D: -0.026038 Loss_G: 0.030264 Loss_D_real: -0.011424 Loss_D_fake 0.014614
[504/5000][455/535][51822] Loss_D: -0.029050 Loss_G: 0.008485 Loss_D_real: -0.018946 Loss_D_fake 0.010104
[504/5000][460/535][51823] Loss_D: -0.025515 Loss_G: 0.031357 Loss_D_real: -0.025152 Loss_D_fake 0.000363
[504/5000][465/535][51824] Loss_D: -0.028041 Loss_G: 0.003910 Loss_D_real: -0.006756 Loss_D_fake 0.021285
[504/5000][470/535][51825] Loss_D: -0.024298 Loss_G: -0.013604 Loss_D_real: -0.001097 Loss_D_fake 0.023201
[504/5000][475/535][51826] Loss_D: -0.026192 Loss_G: 0.000032 Loss_D_real: -0.017230 Loss_D_fake 0.008962
[504/5000][480/535][51827] Loss_D: -0.026973 Loss_G: 0.022803 Loss_D_real: -0.027151 Loss_D_fake -0.000178
[504/5000][485/535][51828] Loss_D: -0.027034 Loss_G: 0.012053 Loss_D_real: -0.010192 Loss_D_fake 0.016841
[504/5000][490/535][51829] Loss_D: -0.027719 Loss_G: 0.024533 Loss_D_real: -0.026086 Loss_D_fake 0.001634
[504/5000][495/535][51830] Loss_D: -0.024242 Loss_G: -0.011381 Loss_D_real: 0.009280 Loss_D_fake 0.033522
[504/5000][500/535][51831] Loss_D: -0.024761 Loss_G: 0.024761 Loss_D_real: -0.025210 Loss_D_fake -0.000450
[504/5000][505/535][51832] Loss_D: -0.027012 Loss_G: 0.021968 Loss_D_real: -0.027718 Loss_D_fake -0.000706
[504/5000][510/535][51833] Loss_D: -0.026813 Loss_G: 0.030563 Loss_D_real: -0.028209 Loss_D_fake -0.001396
[504/5000][515/535][51834] Loss_D: -0.025661 Loss_G: 0.022852 Loss_D_real: -0.026335 Loss_D_fake -0.000675
[504/5000][520/535][51835] Loss_D: -0.026706 Loss_G: 0.001511 Loss_D_real: -0.005134 Loss_D_fake 0.021572
[504/5000][525/535][51836] Loss_D: -0.026748 Loss_G: 0.017175 Loss_D_real: -0.016106 Loss_D_fake 0.010642
[504/5000][530/535][51837] Loss_D: -0.027107 Loss_G: 0.004837 Loss_D_real: -0.012584 Loss_D_fake 0.014524
[504/5000][535/535][51838] Loss_D: -0.031645 Loss_G: 0.018473 Loss_D_real: -0.014950 Loss_D_fake 0.016694
[505/5000][5/535][51839] Loss_D: -0.027236 Loss_G: 0.018326 Loss_D_real: -0.020634 Loss_D_fake 0.006602
[505/5000][10/535][51840] Loss_D: -0.025613 Loss_G: 0.027854 Loss_D_real: -0.023952 Loss_D_fake 0.001661
[505/5000][15/535][51841] Loss_D: -0.026464 Loss_G: 0.007374 Loss_D_real: -0.010908 Loss_D_fake 0.015557
[505/5000][20/535][51842] Loss_D: -0.026305 Loss_G: -0.000914 Loss_D_real: -0.008864 Loss_D_fake 0.017441
[505/5000][25/535][51843] Loss_D: -0.024938 Loss_G: 0.036600 Loss_D_real: -0.032849 Loss_D_fake -0.007910
[505/5000][30/535][51844] Loss_D: -0.026484 Loss_G: -0.004834 Loss_D_real: 0.004060 Loss_D_fake 0.030544
[505/5000][35/535][51845] Loss_D: -0.025304 Loss_G: 0.025363 Loss_D_real: -0.031833 Loss_D_fake -0.006528
[505/5000][40/535][51846] Loss_D: -0.026760 Loss_G: 0.028554 Loss_D_real: -0.021993 Loss_D_fake 0.004767
[505/5000][45/535][51847] Loss_D: -0.026668 Loss_G: -0.000374 Loss_D_real: 0.001282 Loss_D_fake 0.027950
[505/5000][50/535][51848] Loss_D: -0.025486 Loss_G: 0.025337 Loss_D_real: -0.017383 Loss_D_fake 0.008104
[505/5000][55/535][51849] Loss_D: -0.026719 Loss_G: -0.003456 Loss_D_real: -0.004534 Loss_D_fake 0.022185
[505/5000][60/535][51850] Loss_D: -0.026454 Loss_G: 0.029723 Loss_D_real: -0.031229 Loss_D_fake -0.004774
[505/5000][65/535][51851] Loss_D: -0.025924 Loss_G: -0.008094 Loss_D_real: -0.004388 Loss_D_fake 0.021535
[505/5000][70/535][51852] Loss_D: -0.026005 Loss_G: -0.003530 Loss_D_real: 0.004857 Loss_D_fake 0.030861
[505/5000][75/535][51853] Loss_D: -0.025057 Loss_G: 0.033429 Loss_D_real: -0.030608 Loss_D_fake -0.005551
[505/5000][80/535][51854] Loss_D: -0.025858 Loss_G: 0.010140 Loss_D_real: -0.006635 Loss_D_fake 0.019223
[505/5000][85/535][51855] Loss_D: -0.027664 Loss_G: 0.009830 Loss_D_real: -0.021600 Loss_D_fake 0.006064
[505/5000][90/535][51856] Loss_D: -0.027893 Loss_G: 0.009465 Loss_D_real: -0.005619 Loss_D_fake 0.022274
[505/5000][95/535][51857] Loss_D: -0.026368 Loss_G: 0.021360 Loss_D_real: -0.021481 Loss_D_fake 0.004887
[505/5000][100/535][51858] Loss_D: -0.027193 Loss_G: 0.004526 Loss_D_real: -0.009457 Loss_D_fake 0.017736
[505/5000][105/535][51859] Loss_D: -0.023534 Loss_G: -0.011917 Loss_D_real: 0.004034 Loss_D_fake 0.027568
[505/5000][110/535][51860] Loss_D: -0.026511 Loss_G: 0.019033 Loss_D_real: -0.023061 Loss_D_fake 0.003449
[505/5000][115/535][51861] Loss_D: -0.024827 Loss_G: 0.028525 Loss_D_real: -0.032339 Loss_D_fake -0.007512
[505/5000][120/535][51862] Loss_D: -0.026760 Loss_G: 0.014171 Loss_D_real: -0.016465 Loss_D_fake 0.010295
[505/5000][125/535][51863] Loss_D: -0.025690 Loss_G: 0.014235 Loss_D_real: -0.016912 Loss_D_fake 0.008778
[505/5000][130/535][51864] Loss_D: -0.026874 Loss_G: -0.001049 Loss_D_real: -0.011429 Loss_D_fake 0.015444
[505/5000][135/535][51865] Loss_D: -0.027932 Loss_G: 0.025450 Loss_D_real: -0.020902 Loss_D_fake 0.007030
[505/5000][140/535][51866] Loss_D: -0.024676 Loss_G: 0.039156 Loss_D_real: -0.035104 Loss_D_fake -0.010428
[505/5000][145/535][51867] Loss_D: -0.027217 Loss_G: 0.000963 Loss_D_real: -0.002485 Loss_D_fake 0.024732
[505/5000][150/535][51868] Loss_D: -0.026489 Loss_G: 0.019319 Loss_D_real: -0.017162 Loss_D_fake 0.009327
[505/5000][155/535][51869] Loss_D: -0.025879 Loss_G: -0.003676 Loss_D_real: 0.002874 Loss_D_fake 0.028753
[505/5000][160/535][51870] Loss_D: -0.025556 Loss_G: 0.029146 Loss_D_real: -0.023819 Loss_D_fake 0.001737
[505/5000][165/535][51871] Loss_D: -0.026076 Loss_G: 0.003832 Loss_D_real: -0.008194 Loss_D_fake 0.017882
[505/5000][170/535][51872] Loss_D: -0.026120 Loss_G: 0.031749 Loss_D_real: -0.028023 Loss_D_fake -0.001903
[505/5000][175/535][51873] Loss_D: -0.029176 Loss_G: -0.008632 Loss_D_real: -0.015960 Loss_D_fake 0.013216
[505/5000][180/535][51874] Loss_D: -0.027266 Loss_G: 0.008466 Loss_D_real: -0.020318 Loss_D_fake 0.006948
[505/5000][185/535][51875] Loss_D: -0.027160 Loss_G: 0.034325 Loss_D_real: -0.026009 Loss_D_fake 0.001151
[505/5000][190/535][51876] Loss_D: -0.027695 Loss_G: 0.024402 Loss_D_real: -0.030437 Loss_D_fake -0.002742
[505/5000][195/535][51877] Loss_D: -0.025883 Loss_G: 0.028373 Loss_D_real: -0.039626 Loss_D_fake -0.013744
[505/5000][200/535][51878] Loss_D: -0.026168 Loss_G: 0.016122 Loss_D_real: -0.012795 Loss_D_fake 0.013373
[505/5000][205/535][51879] Loss_D: -0.027280 Loss_G: 0.012619 Loss_D_real: -0.009467 Loss_D_fake 0.017813
[505/5000][210/535][51880] Loss_D: -0.027718 Loss_G: -0.003494 Loss_D_real: -0.011688 Loss_D_fake 0.016030
[505/5000][215/535][51881] Loss_D: -0.025054 Loss_G: 0.027961 Loss_D_real: -0.024883 Loss_D_fake 0.000171
[505/5000][220/535][51882] Loss_D: -0.027154 Loss_G: 0.018572 Loss_D_real: -0.020911 Loss_D_fake 0.006243
[505/5000][225/535][51883] Loss_D: -0.026651 Loss_G: 0.014670 Loss_D_real: -0.011292 Loss_D_fake 0.015359
[505/5000][230/535][51884] Loss_D: -0.027113 Loss_G: 0.006134 Loss_D_real: -0.014910 Loss_D_fake 0.012204
[505/5000][235/535][51885] Loss_D: -0.025823 Loss_G: -0.009883 Loss_D_real: -0.000300 Loss_D_fake 0.025522
[505/5000][240/535][51886] Loss_D: -0.027463 Loss_G: 0.022086 Loss_D_real: -0.031698 Loss_D_fake -0.004234
[505/5000][245/535][51887] Loss_D: -0.026887 Loss_G: 0.024630 Loss_D_real: -0.018590 Loss_D_fake 0.008297
[505/5000][250/535][51888] Loss_D: -0.027838 Loss_G: 0.019350 Loss_D_real: -0.019237 Loss_D_fake 0.008601
[505/5000][255/535][51889] Loss_D: -0.026009 Loss_G: -0.007853 Loss_D_real: -0.001821 Loss_D_fake 0.024187
[505/5000][260/535][51890] Loss_D: -0.026446 Loss_G: 0.005117 Loss_D_real: -0.009714 Loss_D_fake 0.016732
[505/5000][265/535][51891] Loss_D: -0.026111 Loss_G: 0.006157 Loss_D_real: -0.014595 Loss_D_fake 0.011516
[505/5000][270/535][51892] Loss_D: -0.026040 Loss_G: 0.009724 Loss_D_real: -0.014414 Loss_D_fake 0.011626
[505/5000][275/535][51893] Loss_D: -0.026989 Loss_G: -0.007332 Loss_D_real: -0.011055 Loss_D_fake 0.015934
[505/5000][280/535][51894] Loss_D: -0.026593 Loss_G: 0.029447 Loss_D_real: -0.029667 Loss_D_fake -0.003074
[505/5000][285/535][51895] Loss_D: -0.026442 Loss_G: 0.007423 Loss_D_real: 0.000203 Loss_D_fake 0.026645
[505/5000][290/535][51896] Loss_D: -0.026043 Loss_G: 0.030514 Loss_D_real: -0.034253 Loss_D_fake -0.008210
[505/5000][295/535][51897] Loss_D: -0.026667 Loss_G: 0.023735 Loss_D_real: -0.028937 Loss_D_fake -0.002271
[505/5000][300/535][51898] Loss_D: -0.028035 Loss_G: 0.027289 Loss_D_real: -0.028103 Loss_D_fake -0.000069
[505/5000][305/535][51899] Loss_D: -0.025449 Loss_G: -0.003389 Loss_D_real: 0.001008 Loss_D_fake 0.026457
[505/5000][310/535][51900] Loss_D: -0.026399 Loss_G: 0.017278 Loss_D_real: -0.025192 Loss_D_fake 0.001207
[505/5000][315/535][51901] Loss_D: -0.027167 Loss_G: 0.022900 Loss_D_real: -0.024020 Loss_D_fake 0.003147
[505/5000][320/535][51902] Loss_D: -0.028113 Loss_G: 0.012623 Loss_D_real: -0.007215 Loss_D_fake 0.020898
[505/5000][325/535][51903] Loss_D: -0.026742 Loss_G: 0.020407 Loss_D_real: -0.030418 Loss_D_fake -0.003675
[505/5000][330/535][51904] Loss_D: -0.027008 Loss_G: 0.028310 Loss_D_real: -0.028980 Loss_D_fake -0.001972
[505/5000][335/535][51905] Loss_D: -0.027476 Loss_G: 0.016032 Loss_D_real: -0.020179 Loss_D_fake 0.007296
[505/5000][340/535][51906] Loss_D: -0.026127 Loss_G: -0.003146 Loss_D_real: -0.008411 Loss_D_fake 0.017716
[505/5000][345/535][51907] Loss_D: -0.026759 Loss_G: 0.035979 Loss_D_real: -0.030303 Loss_D_fake -0.003544
[505/5000][350/535][51908] Loss_D: -0.026798 Loss_G: 0.006443 Loss_D_real: -0.010003 Loss_D_fake 0.016795
[505/5000][355/535][51909] Loss_D: -0.025452 Loss_G: 0.020578 Loss_D_real: -0.013993 Loss_D_fake 0.011459
[505/5000][360/535][51910] Loss_D: -0.025702 Loss_G: -0.002540 Loss_D_real: -0.014498 Loss_D_fake 0.011204
[505/5000][365/535][51911] Loss_D: -0.026316 Loss_G: 0.024120 Loss_D_real: -0.022780 Loss_D_fake 0.003536
[505/5000][370/535][51912] Loss_D: -0.026446 Loss_G: 0.011016 Loss_D_real: -0.001805 Loss_D_fake 0.024641
[505/5000][375/535][51913] Loss_D: -0.026135 Loss_G: 0.015412 Loss_D_real: -0.019633 Loss_D_fake 0.006501
[505/5000][380/535][51914] Loss_D: -0.026106 Loss_G: 0.011407 Loss_D_real: -0.018700 Loss_D_fake 0.007406
[505/5000][385/535][51915] Loss_D: -0.026867 Loss_G: 0.020399 Loss_D_real: -0.008580 Loss_D_fake 0.018287
[505/5000][390/535][51916] Loss_D: -0.028157 Loss_G: 0.017027 Loss_D_real: -0.026276 Loss_D_fake 0.001881
[505/5000][395/535][51917] Loss_D: -0.025453 Loss_G: 0.022387 Loss_D_real: -0.027587 Loss_D_fake -0.002134
[505/5000][400/535][51918] Loss_D: -0.027315 Loss_G: 0.013507 Loss_D_real: -0.022204 Loss_D_fake 0.005112
[505/5000][405/535][51919] Loss_D: -0.028159 Loss_G: 0.020047 Loss_D_real: -0.018692 Loss_D_fake 0.009467
[505/5000][410/535][51920] Loss_D: -0.027038 Loss_G: 0.031607 Loss_D_real: -0.029224 Loss_D_fake -0.002186
[505/5000][415/535][51921] Loss_D: -0.026951 Loss_G: -0.006301 Loss_D_real: 0.002902 Loss_D_fake 0.029853
[505/5000][420/535][51922] Loss_D: -0.026495 Loss_G: 0.007957 Loss_D_real: -0.006517 Loss_D_fake 0.019978
[505/5000][425/535][51923] Loss_D: -0.026209 Loss_G: 0.020827 Loss_D_real: -0.025086 Loss_D_fake 0.001123
[505/5000][430/535][51924] Loss_D: -0.026469 Loss_G: 0.001150 Loss_D_real: -0.005309 Loss_D_fake 0.021160
[505/5000][435/535][51925] Loss_D: -0.027220 Loss_G: 0.019063 Loss_D_real: -0.019101 Loss_D_fake 0.008119
[505/5000][440/535][51926] Loss_D: -0.026831 Loss_G: 0.016430 Loss_D_real: -0.022747 Loss_D_fake 0.004084
[505/5000][445/535][51927] Loss_D: -0.026933 Loss_G: 0.000478 Loss_D_real: 0.001525 Loss_D_fake 0.028458
[505/5000][450/535][51928] Loss_D: -0.026381 Loss_G: 0.028919 Loss_D_real: -0.029909 Loss_D_fake -0.003528
[505/5000][455/535][51929] Loss_D: -0.026733 Loss_G: 0.009357 Loss_D_real: -0.005901 Loss_D_fake 0.020832
[505/5000][460/535][51930] Loss_D: -0.026679 Loss_G: 0.005319 Loss_D_real: -0.009810 Loss_D_fake 0.016869
[505/5000][465/535][51931] Loss_D: -0.025327 Loss_G: 0.010004 Loss_D_real: -0.009371 Loss_D_fake 0.015956
[505/5000][470/535][51932] Loss_D: -0.026282 Loss_G: 0.004051 Loss_D_real: -0.007482 Loss_D_fake 0.018801
[505/5000][475/535][51933] Loss_D: -0.025626 Loss_G: 0.010939 Loss_D_real: -0.018507 Loss_D_fake 0.007120
[505/5000][480/535][51934] Loss_D: -0.024550 Loss_G: -0.005796 Loss_D_real: -0.002461 Loss_D_fake 0.022089
[505/5000][485/535][51935] Loss_D: -0.025706 Loss_G: 0.030401 Loss_D_real: -0.024346 Loss_D_fake 0.001361
[505/5000][490/535][51936] Loss_D: -0.024309 Loss_G: 0.037324 Loss_D_real: -0.032151 Loss_D_fake -0.007842
[505/5000][495/535][51937] Loss_D: -0.025746 Loss_G: -0.002806 Loss_D_real: 0.000266 Loss_D_fake 0.026012
[505/5000][500/535][51938] Loss_D: -0.026468 Loss_G: -0.000739 Loss_D_real: -0.006428 Loss_D_fake 0.020041
[505/5000][505/535][51939] Loss_D: -0.024804 Loss_G: -0.008740 Loss_D_real: 0.000360 Loss_D_fake 0.025164
[505/5000][510/535][51940] Loss_D: -0.027146 Loss_G: 0.031657 Loss_D_real: -0.032138 Loss_D_fake -0.004993
[505/5000][515/535][51941] Loss_D: -0.025693 Loss_G: 0.034975 Loss_D_real: -0.040607 Loss_D_fake -0.014914
[505/5000][520/535][51942] Loss_D: -0.026603 Loss_G: 0.021295 Loss_D_real: -0.026155 Loss_D_fake 0.000448
[505/5000][525/535][51943] Loss_D: -0.027660 Loss_G: 0.018925 Loss_D_real: -0.025200 Loss_D_fake 0.002459
[505/5000][530/535][51944] Loss_D: -0.027196 Loss_G: -0.003995 Loss_D_real: -0.003051 Loss_D_fake 0.024145
[505/5000][535/535][51945] Loss_D: -0.024435 Loss_G: 0.020567 Loss_D_real: -0.017508 Loss_D_fake 0.006927
[506/5000][5/535][51946] Loss_D: -0.026348 Loss_G: 0.000827 Loss_D_real: -0.002063 Loss_D_fake 0.024285
[506/5000][10/535][51947] Loss_D: -0.027101 Loss_G: 0.030473 Loss_D_real: -0.030228 Loss_D_fake -0.003127
[506/5000][15/535][51948] Loss_D: -0.027562 Loss_G: 0.009566 Loss_D_real: -0.007624 Loss_D_fake 0.019938
[506/5000][20/535][51949] Loss_D: -0.026533 Loss_G: 0.030466 Loss_D_real: -0.029347 Loss_D_fake -0.002814
[506/5000][25/535][51950] Loss_D: -0.026716 Loss_G: -0.018877 Loss_D_real: 0.003020 Loss_D_fake 0.029736
[506/5000][30/535][51951] Loss_D: -0.024392 Loss_G: 0.030242 Loss_D_real: -0.025033 Loss_D_fake -0.000642
[506/5000][35/535][51952] Loss_D: -0.027061 Loss_G: -0.006139 Loss_D_real: -0.012603 Loss_D_fake 0.014458
[506/5000][40/535][51953] Loss_D: -0.027105 Loss_G: 0.003871 Loss_D_real: -0.004546 Loss_D_fake 0.022558
[506/5000][45/535][51954] Loss_D: -0.026593 Loss_G: 0.002711 Loss_D_real: 0.002897 Loss_D_fake 0.029491
[506/5000][50/535][51955] Loss_D: -0.025404 Loss_G: -0.007386 Loss_D_real: -0.006492 Loss_D_fake 0.018911
[506/5000][55/535][51956] Loss_D: -0.027002 Loss_G: 0.008561 Loss_D_real: -0.002772 Loss_D_fake 0.024230
[506/5000][60/535][51957] Loss_D: -0.024181 Loss_G: -0.009851 Loss_D_real: 0.003247 Loss_D_fake 0.027428
[506/5000][65/535][51958] Loss_D: -0.025866 Loss_G: 0.017309 Loss_D_real: -0.013030 Loss_D_fake 0.012836
[506/5000][70/535][51959] Loss_D: -0.028635 Loss_G: 0.013916 Loss_D_real: -0.016534 Loss_D_fake 0.012101
[506/5000][75/535][51960] Loss_D: -0.026949 Loss_G: 0.007317 Loss_D_real: -0.008820 Loss_D_fake 0.018128
[506/5000][80/535][51961] Loss_D: -0.024975 Loss_G: 0.038477 Loss_D_real: -0.032017 Loss_D_fake -0.007042
[506/5000][85/535][51962] Loss_D: -0.026529 Loss_G: 0.009306 Loss_D_real: -0.018308 Loss_D_fake 0.008221
[506/5000][90/535][51963] Loss_D: -0.026206 Loss_G: 0.022356 Loss_D_real: -0.026431 Loss_D_fake -0.000225
[506/5000][95/535][51964] Loss_D: -0.026513 Loss_G: 0.030627 Loss_D_real: -0.027758 Loss_D_fake -0.001245
[506/5000][100/535][51965] Loss_D: -0.026125 Loss_G: 0.000691 Loss_D_real: 0.000287 Loss_D_fake 0.026412
[506/5000][105/535][51966] Loss_D: -0.027626 Loss_G: 0.010489 Loss_D_real: -0.014013 Loss_D_fake 0.013613
[506/5000][110/535][51967] Loss_D: -0.027409 Loss_G: 0.004604 Loss_D_real: -0.015031 Loss_D_fake 0.012379
[506/5000][115/535][51968] Loss_D: -0.027485 Loss_G: 0.007133 Loss_D_real: -0.018024 Loss_D_fake 0.009462
[506/5000][120/535][51969] Loss_D: -0.025541 Loss_G: 0.002718 Loss_D_real: -0.005834 Loss_D_fake 0.019707
[506/5000][125/535][51970] Loss_D: -0.025949 Loss_G: 0.020327 Loss_D_real: -0.015589 Loss_D_fake 0.010360
[506/5000][130/535][51971] Loss_D: -0.025397 Loss_G: 0.037858 Loss_D_real: -0.035255 Loss_D_fake -0.009858
[506/5000][135/535][51972] Loss_D: -0.024931 Loss_G: 0.023212 Loss_D_real: -0.024033 Loss_D_fake 0.000898
[506/5000][140/535][51973] Loss_D: -0.026369 Loss_G: 0.016240 Loss_D_real: -0.015606 Loss_D_fake 0.010763
[506/5000][145/535][51974] Loss_D: -0.025867 Loss_G: 0.035926 Loss_D_real: -0.035576 Loss_D_fake -0.009709
[506/5000][150/535][51975] Loss_D: -0.027322 Loss_G: 0.007915 Loss_D_real: -0.010847 Loss_D_fake 0.016475
[506/5000][155/535][51976] Loss_D: -0.026178 Loss_G: 0.019293 Loss_D_real: -0.010996 Loss_D_fake 0.015182
[506/5000][160/535][51977] Loss_D: -0.026874 Loss_G: 0.035859 Loss_D_real: -0.025544 Loss_D_fake 0.001330
[506/5000][165/535][51978] Loss_D: -0.026604 Loss_G: 0.002266 Loss_D_real: -0.003682 Loss_D_fake 0.022922
[506/5000][170/535][51979] Loss_D: -0.025792 Loss_G: 0.029894 Loss_D_real: -0.034195 Loss_D_fake -0.008404
[506/5000][175/535][51980] Loss_D: -0.027164 Loss_G: 0.007406 Loss_D_real: -0.015332 Loss_D_fake 0.011832
[506/5000][180/535][51981] Loss_D: -0.026111 Loss_G: 0.002800 Loss_D_real: -0.013134 Loss_D_fake 0.012977
[506/5000][185/535][51982] Loss_D: -0.026381 Loss_G: 0.023237 Loss_D_real: -0.019527 Loss_D_fake 0.006853
[506/5000][190/535][51983] Loss_D: -0.026664 Loss_G: 0.031962 Loss_D_real: -0.031194 Loss_D_fake -0.004530
[506/5000][195/535][51984] Loss_D: -0.026734 Loss_G: -0.002261 Loss_D_real: -0.004173 Loss_D_fake 0.022561
[506/5000][200/535][51985] Loss_D: -0.025679 Loss_G: 0.024205 Loss_D_real: -0.025962 Loss_D_fake -0.000283
[506/5000][205/535][51986] Loss_D: -0.023849 Loss_G: -0.018663 Loss_D_real: 0.014006 Loss_D_fake 0.037855
[506/5000][210/535][51987] Loss_D: -0.026530 Loss_G: 0.020535 Loss_D_real: -0.018884 Loss_D_fake 0.007646
[506/5000][215/535][51988] Loss_D: -0.025124 Loss_G: -0.004133 Loss_D_real: -0.001680 Loss_D_fake 0.023443
[506/5000][220/535][51989] Loss_D: -0.026895 Loss_G: 0.015526 Loss_D_real: -0.021095 Loss_D_fake 0.005801
[506/5000][225/535][51990] Loss_D: -0.026184 Loss_G: 0.000830 Loss_D_real: -0.007010 Loss_D_fake 0.019174
[506/5000][230/535][51991] Loss_D: -0.025364 Loss_G: 0.014420 Loss_D_real: -0.025417 Loss_D_fake -0.000053
[506/5000][235/535][51992] Loss_D: -0.024223 Loss_G: 0.025573 Loss_D_real: -0.015367 Loss_D_fake 0.008856
[506/5000][240/535][51993] Loss_D: -0.024450 Loss_G: 0.018656 Loss_D_real: -0.025419 Loss_D_fake -0.000969
[506/5000][245/535][51994] Loss_D: -0.026577 Loss_G: 0.033301 Loss_D_real: -0.023012 Loss_D_fake 0.003565
[506/5000][250/535][51995] Loss_D: -0.025414 Loss_G: 0.015144 Loss_D_real: -0.018146 Loss_D_fake 0.007268
[506/5000][255/535][51996] Loss_D: -0.025547 Loss_G: 0.009023 Loss_D_real: -0.024800 Loss_D_fake 0.000747
[506/5000][260/535][51997] Loss_D: -0.026505 Loss_G: 0.003524 Loss_D_real: -0.002575 Loss_D_fake 0.023930
[506/5000][265/535][51998] Loss_D: -0.026905 Loss_G: 0.032243 Loss_D_real: -0.028145 Loss_D_fake -0.001239
[506/5000][270/535][51999] Loss_D: -0.025629 Loss_G: 0.027793 Loss_D_real: -0.031303 Loss_D_fake -0.005675
[506/5000][275/535][52000] Loss_D: -0.026024 Loss_G: 0.040764 Loss_D_real: -0.033819 Loss_D_fake -0.007795
[506/5000][375/535][52001] Loss_D: -0.027048 Loss_G: 0.037931 Loss_D_real: -0.037341 Loss_D_fake -0.010293
[506/5000][380/535][52002] Loss_D: -0.028139 Loss_G: 0.026619 Loss_D_real: -0.017047 Loss_D_fake 0.011092
[506/5000][385/535][52003] Loss_D: -0.024167 Loss_G: 0.005508 Loss_D_real: -0.011597 Loss_D_fake 0.012569
[506/5000][390/535][52004] Loss_D: -0.024356 Loss_G: 0.005041 Loss_D_real: -0.004083 Loss_D_fake 0.020273
[506/5000][395/535][52005] Loss_D: -0.025117 Loss_G: 0.023305 Loss_D_real: -0.020606 Loss_D_fake 0.004511
[506/5000][400/535][52006] Loss_D: -0.025583 Loss_G: 0.009415 Loss_D_real: -0.017782 Loss_D_fake 0.007801
[506/5000][405/535][52007] Loss_D: -0.024626 Loss_G: 0.030421 Loss_D_real: -0.035742 Loss_D_fake -0.011116
[506/5000][410/535][52008] Loss_D: -0.026075 Loss_G: 0.014864 Loss_D_real: -0.017337 Loss_D_fake 0.008738
[506/5000][415/535][52009] Loss_D: -0.026302 Loss_G: 0.001274 Loss_D_real: -0.020039 Loss_D_fake 0.006262
[506/5000][420/535][52010] Loss_D: -0.025978 Loss_G: 0.004465 Loss_D_real: -0.011541 Loss_D_fake 0.014437
[506/5000][425/535][52011] Loss_D: -0.026706 Loss_G: 0.009093 Loss_D_real: -0.010224 Loss_D_fake 0.016482
[506/5000][430/535][52012] Loss_D: -0.026325 Loss_G: 0.017144 Loss_D_real: -0.022323 Loss_D_fake 0.004002
[506/5000][435/535][52013] Loss_D: -0.026826 Loss_G: -0.003386 Loss_D_real: -0.001881 Loss_D_fake 0.024945
[506/5000][440/535][52014] Loss_D: -0.025370 Loss_G: 0.026501 Loss_D_real: -0.018841 Loss_D_fake 0.006530
[506/5000][445/535][52015] Loss_D: -0.027212 Loss_G: 0.015144 Loss_D_real: -0.022330 Loss_D_fake 0.004882
[506/5000][450/535][52016] Loss_D: -0.027677 Loss_G: 0.011378 Loss_D_real: -0.025658 Loss_D_fake 0.002019
[506/5000][455/535][52017] Loss_D: -0.025935 Loss_G: 0.022555 Loss_D_real: -0.024995 Loss_D_fake 0.000940
[506/5000][460/535][52018] Loss_D: -0.026793 Loss_G: -0.002269 Loss_D_real: -0.005043 Loss_D_fake 0.021751
[506/5000][465/535][52019] Loss_D: -0.026425 Loss_G: 0.029039 Loss_D_real: -0.026412 Loss_D_fake 0.000013
[506/5000][470/535][52020] Loss_D: -0.025722 Loss_G: 0.012059 Loss_D_real: -0.016584 Loss_D_fake 0.009138
[506/5000][475/535][52021] Loss_D: -0.026961 Loss_G: 0.014850 Loss_D_real: -0.007866 Loss_D_fake 0.019095
[506/5000][480/535][52022] Loss_D: -0.028250 Loss_G: -0.003482 Loss_D_real: -0.014637 Loss_D_fake 0.013613
[506/5000][485/535][52023] Loss_D: -0.026667 Loss_G: 0.006468 Loss_D_real: -0.009515 Loss_D_fake 0.017153
[506/5000][490/535][52024] Loss_D: -0.026400 Loss_G: 0.014672 Loss_D_real: -0.011199 Loss_D_fake 0.015201
[506/5000][495/535][52025] Loss_D: -0.025475 Loss_G: 0.032977 Loss_D_real: -0.032531 Loss_D_fake -0.007056
[506/5000][500/535][52026] Loss_D: -0.026743 Loss_G: 0.019398 Loss_D_real: -0.015688 Loss_D_fake 0.011055
[506/5000][505/535][52027] Loss_D: -0.025097 Loss_G: 0.005505 Loss_D_real: -0.018714 Loss_D_fake 0.006383
[506/5000][510/535][52028] Loss_D: -0.026988 Loss_G: 0.003995 Loss_D_real: -0.005965 Loss_D_fake 0.021024
[506/5000][515/535][52029] Loss_D: -0.026103 Loss_G: 0.023852 Loss_D_real: -0.018392 Loss_D_fake 0.007711
[506/5000][520/535][52030] Loss_D: -0.027558 Loss_G: 0.000604 Loss_D_real: -0.006164 Loss_D_fake 0.021394
[506/5000][525/535][52031] Loss_D: -0.025178 Loss_G: 0.023665 Loss_D_real: -0.028045 Loss_D_fake -0.002866
[506/5000][530/535][52032] Loss_D: -0.026017 Loss_G: 0.021555 Loss_D_real: -0.021341 Loss_D_fake 0.004677
[506/5000][535/535][52033] Loss_D: -0.022263 Loss_G: 0.030575 Loss_D_real: -0.018032 Loss_D_fake 0.004231
[507/5000][5/535][52034] Loss_D: -0.025757 Loss_G: -0.003918 Loss_D_real: -0.006936 Loss_D_fake 0.018820
[507/5000][10/535][52035] Loss_D: -0.026622 Loss_G: 0.019096 Loss_D_real: -0.015251 Loss_D_fake 0.011371
[507/5000][15/535][52036] Loss_D: -0.027346 Loss_G: 0.019333 Loss_D_real: -0.021235 Loss_D_fake 0.006110
[507/5000][20/535][52037] Loss_D: -0.027763 Loss_G: 0.010689 Loss_D_real: -0.010233 Loss_D_fake 0.017530
[507/5000][25/535][52038] Loss_D: -0.026333 Loss_G: 0.021131 Loss_D_real: -0.035292 Loss_D_fake -0.008959
[507/5000][30/535][52039] Loss_D: -0.027766 Loss_G: 0.024467 Loss_D_real: -0.018458 Loss_D_fake 0.009308
[507/5000][35/535][52040] Loss_D: -0.027772 Loss_G: 0.004442 Loss_D_real: -0.013297 Loss_D_fake 0.014475
[507/5000][40/535][52041] Loss_D: -0.026651 Loss_G: -0.006423 Loss_D_real: -0.001763 Loss_D_fake 0.024888
[507/5000][45/535][52042] Loss_D: -0.026940 Loss_G: 0.016135 Loss_D_real: -0.023135 Loss_D_fake 0.003805
[507/5000][50/535][52043] Loss_D: -0.027523 Loss_G: 0.026551 Loss_D_real: -0.019949 Loss_D_fake 0.007574
[507/5000][55/535][52044] Loss_D: -0.025984 Loss_G: -0.006172 Loss_D_real: -0.003891 Loss_D_fake 0.022093
[507/5000][60/535][52045] Loss_D: -0.026391 Loss_G: 0.036053 Loss_D_real: -0.024755 Loss_D_fake 0.001636
[507/5000][65/535][52046] Loss_D: -0.027089 Loss_G: 0.001528 Loss_D_real: -0.002271 Loss_D_fake 0.024817
[507/5000][70/535][52047] Loss_D: -0.026846 Loss_G: 0.031705 Loss_D_real: -0.029100 Loss_D_fake -0.002255
[507/5000][75/535][52048] Loss_D: -0.027401 Loss_G: 0.009025 Loss_D_real: -0.017711 Loss_D_fake 0.009689
[507/5000][80/535][52049] Loss_D: -0.027346 Loss_G: 0.016671 Loss_D_real: -0.011358 Loss_D_fake 0.015988
[507/5000][85/535][52050] Loss_D: -0.027345 Loss_G: 0.023911 Loss_D_real: -0.017416 Loss_D_fake 0.009929
[507/5000][90/535][52051] Loss_D: -0.026471 Loss_G: 0.011401 Loss_D_real: -0.015002 Loss_D_fake 0.011469
[507/5000][95/535][52052] Loss_D: -0.026242 Loss_G: 0.016716 Loss_D_real: -0.018363 Loss_D_fake 0.007879
[507/5000][100/535][52053] Loss_D: -0.026650 Loss_G: 0.012330 Loss_D_real: -0.015129 Loss_D_fake 0.011521
[507/5000][105/535][52054] Loss_D: -0.025287 Loss_G: -0.013082 Loss_D_real: -0.007120 Loss_D_fake 0.018167
[507/5000][110/535][52055] Loss_D: -0.025481 Loss_G: 0.018514 Loss_D_real: -0.011845 Loss_D_fake 0.013636
[507/5000][115/535][52056] Loss_D: -0.026872 Loss_G: 0.017689 Loss_D_real: -0.029962 Loss_D_fake -0.003090
[507/5000][120/535][52057] Loss_D: -0.026958 Loss_G: -0.006514 Loss_D_real: -0.012870 Loss_D_fake 0.014088
[507/5000][125/535][52058] Loss_D: -0.025340 Loss_G: 0.026420 Loss_D_real: -0.026267 Loss_D_fake -0.000927
[507/5000][130/535][52059] Loss_D: -0.026796 Loss_G: 0.001047 Loss_D_real: -0.005886 Loss_D_fake 0.020910
[507/5000][135/535][52060] Loss_D: -0.025316 Loss_G: 0.033151 Loss_D_real: -0.026056 Loss_D_fake -0.000740
[507/5000][140/535][52061] Loss_D: -0.024789 Loss_G: 0.002129 Loss_D_real: -0.005765 Loss_D_fake 0.019024
[507/5000][145/535][52062] Loss_D: -0.024493 Loss_G: 0.006844 Loss_D_real: -0.005068 Loss_D_fake 0.019425
[507/5000][150/535][52063] Loss_D: -0.025028 Loss_G: 0.008073 Loss_D_real: -0.012936 Loss_D_fake 0.012092
[507/5000][155/535][52064] Loss_D: -0.026022 Loss_G: 0.019114 Loss_D_real: -0.029487 Loss_D_fake -0.003465
[507/5000][160/535][52065] Loss_D: -0.024214 Loss_G: 0.033358 Loss_D_real: -0.042692 Loss_D_fake -0.018478
[507/5000][165/535][52066] Loss_D: -0.026117 Loss_G: 0.015829 Loss_D_real: -0.012344 Loss_D_fake 0.013773
[507/5000][170/535][52067] Loss_D: -0.026005 Loss_G: 0.020187 Loss_D_real: -0.019271 Loss_D_fake 0.006735
[507/5000][175/535][52068] Loss_D: -0.025437 Loss_G: -0.007647 Loss_D_real: -0.001133 Loss_D_fake 0.024303
[507/5000][180/535][52069] Loss_D: -0.025351 Loss_G: 0.018594 Loss_D_real: -0.016438 Loss_D_fake 0.008913
[507/5000][185/535][52070] Loss_D: -0.025031 Loss_G: 0.029307 Loss_D_real: -0.022443 Loss_D_fake 0.002589
[507/5000][190/535][52071] Loss_D: -0.027516 Loss_G: -0.000067 Loss_D_real: -0.007926 Loss_D_fake 0.019590
[507/5000][195/535][52072] Loss_D: -0.026437 Loss_G: -0.002894 Loss_D_real: -0.014071 Loss_D_fake 0.012366
[507/5000][200/535][52073] Loss_D: -0.027118 Loss_G: 0.040173 Loss_D_real: -0.033667 Loss_D_fake -0.006549
[507/5000][205/535][52074] Loss_D: -0.026808 Loss_G: 0.023511 Loss_D_real: -0.022047 Loss_D_fake 0.004761
[507/5000][210/535][52075] Loss_D: -0.027120 Loss_G: 0.018607 Loss_D_real: -0.024334 Loss_D_fake 0.002787
[507/5000][215/535][52076] Loss_D: -0.027589 Loss_G: -0.001081 Loss_D_real: -0.016328 Loss_D_fake 0.011261
[507/5000][220/535][52077] Loss_D: -0.026901 Loss_G: 0.016697 Loss_D_real: -0.024381 Loss_D_fake 0.002520
[507/5000][225/535][52078] Loss_D: -0.026158 Loss_G: 0.034292 Loss_D_real: -0.030792 Loss_D_fake -0.004634
[507/5000][230/535][52079] Loss_D: -0.027126 Loss_G: 0.006742 Loss_D_real: 0.000368 Loss_D_fake 0.027494
[507/5000][235/535][52080] Loss_D: -0.025453 Loss_G: 0.025106 Loss_D_real: -0.021463 Loss_D_fake 0.003990
[507/5000][240/535][52081] Loss_D: -0.026731 Loss_G: 0.002760 Loss_D_real: -0.011688 Loss_D_fake 0.015043
[507/5000][245/535][52082] Loss_D: -0.025575 Loss_G: 0.023050 Loss_D_real: -0.025455 Loss_D_fake 0.000120
[507/5000][250/535][52083] Loss_D: -0.025087 Loss_G: 0.001671 Loss_D_real: -0.001759 Loss_D_fake 0.023328
[507/5000][255/535][52084] Loss_D: -0.026138 Loss_G: 0.018014 Loss_D_real: -0.019475 Loss_D_fake 0.006664
[507/5000][260/535][52085] Loss_D: -0.027845 Loss_G: 0.027221 Loss_D_real: -0.027102 Loss_D_fake 0.000743
[507/5000][265/535][52086] Loss_D: -0.027724 Loss_G: 0.018617 Loss_D_real: -0.017623 Loss_D_fake 0.010101
[507/5000][270/535][52087] Loss_D: -0.026952 Loss_G: 0.005760 Loss_D_real: -0.000938 Loss_D_fake 0.026014
[507/5000][275/535][52088] Loss_D: -0.027618 Loss_G: 0.029357 Loss_D_real: -0.029020 Loss_D_fake -0.001402
[507/5000][280/535][52089] Loss_D: -0.027594 Loss_G: 0.009793 Loss_D_real: -0.013963 Loss_D_fake 0.013631
[507/5000][285/535][52090] Loss_D: -0.025658 Loss_G: 0.010827 Loss_D_real: -0.017842 Loss_D_fake 0.007816
[507/5000][290/535][52091] Loss_D: -0.026445 Loss_G: 0.014118 Loss_D_real: -0.026794 Loss_D_fake -0.000348
[507/5000][295/535][52092] Loss_D: -0.025902 Loss_G: 0.000154 Loss_D_real: -0.005182 Loss_D_fake 0.020720
[507/5000][300/535][52093] Loss_D: -0.026192 Loss_G: 0.006238 Loss_D_real: -0.003424 Loss_D_fake 0.022769
[507/5000][305/535][52094] Loss_D: -0.026118 Loss_G: -0.005560 Loss_D_real: 0.002927 Loss_D_fake 0.029045
[507/5000][310/535][52095] Loss_D: -0.025927 Loss_G: 0.026458 Loss_D_real: -0.029666 Loss_D_fake -0.003739
[507/5000][315/535][52096] Loss_D: -0.026233 Loss_G: 0.004914 Loss_D_real: -0.011650 Loss_D_fake 0.014583
[507/5000][320/535][52097] Loss_D: -0.025494 Loss_G: 0.031410 Loss_D_real: -0.034540 Loss_D_fake -0.009045
[507/5000][325/535][52098] Loss_D: -0.025348 Loss_G: -0.012346 Loss_D_real: -0.006166 Loss_D_fake 0.019182
[507/5000][330/535][52099] Loss_D: -0.025888 Loss_G: 0.017230 Loss_D_real: -0.021216 Loss_D_fake 0.004672
[507/5000][335/535][52100] Loss_D: -0.025726 Loss_G: -0.001346 Loss_D_real: -0.009327 Loss_D_fake 0.016398
[507/5000][340/535][52101] Loss_D: -0.025180 Loss_G: 0.014446 Loss_D_real: -0.011894 Loss_D_fake 0.013286
[507/5000][345/535][52102] Loss_D: -0.026152 Loss_G: 0.012424 Loss_D_real: -0.013446 Loss_D_fake 0.012706
[507/5000][350/535][52103] Loss_D: -0.025255 Loss_G: 0.014432 Loss_D_real: -0.020279 Loss_D_fake 0.004976
[507/5000][355/535][52104] Loss_D: -0.026101 Loss_G: 0.009053 Loss_D_real: -0.010226 Loss_D_fake 0.015875
[507/5000][360/535][52105] Loss_D: -0.025755 Loss_G: 0.011949 Loss_D_real: -0.018191 Loss_D_fake 0.007565
[507/5000][365/535][52106] Loss_D: -0.026873 Loss_G: 0.035843 Loss_D_real: -0.024284 Loss_D_fake 0.002590
[507/5000][370/535][52107] Loss_D: -0.026819 Loss_G: 0.002388 Loss_D_real: -0.012395 Loss_D_fake 0.014424
[507/5000][375/535][52108] Loss_D: -0.025356 Loss_G: 0.025745 Loss_D_real: -0.024989 Loss_D_fake 0.000367
[507/5000][380/535][52109] Loss_D: -0.025701 Loss_G: -0.009611 Loss_D_real: -0.006096 Loss_D_fake 0.019605
[507/5000][385/535][52110] Loss_D: -0.025927 Loss_G: 0.025248 Loss_D_real: -0.025968 Loss_D_fake -0.000041
[507/5000][390/535][52111] Loss_D: -0.026614 Loss_G: -0.011463 Loss_D_real: 0.009899 Loss_D_fake 0.036514
[507/5000][395/535][52112] Loss_D: -0.024514 Loss_G: 0.042248 Loss_D_real: -0.028454 Loss_D_fake -0.003940
[507/5000][400/535][52113] Loss_D: -0.024304 Loss_G: -0.017698 Loss_D_real: 0.010006 Loss_D_fake 0.034310
[507/5000][405/535][52114] Loss_D: -0.027238 Loss_G: 0.025239 Loss_D_real: -0.024072 Loss_D_fake 0.003166
[507/5000][410/535][52115] Loss_D: -0.026701 Loss_G: 0.026469 Loss_D_real: -0.020504 Loss_D_fake 0.006197
[507/5000][415/535][52116] Loss_D: -0.027055 Loss_G: 0.010877 Loss_D_real: -0.010894 Loss_D_fake 0.016161
[507/5000][420/535][52117] Loss_D: -0.026668 Loss_G: 0.016276 Loss_D_real: -0.016054 Loss_D_fake 0.010614
[507/5000][425/535][52118] Loss_D: -0.026326 Loss_G: -0.010941 Loss_D_real: -0.010447 Loss_D_fake 0.015879
[507/5000][430/535][52119] Loss_D: -0.026053 Loss_G: 0.023452 Loss_D_real: -0.032528 Loss_D_fake -0.006475
[507/5000][435/535][52120] Loss_D: -0.027133 Loss_G: 0.021902 Loss_D_real: -0.016457 Loss_D_fake 0.010676
[507/5000][440/535][52121] Loss_D: -0.027818 Loss_G: 0.025956 Loss_D_real: -0.028077 Loss_D_fake -0.000260
[507/5000][445/535][52122] Loss_D: -0.025761 Loss_G: 0.023765 Loss_D_real: -0.025906 Loss_D_fake -0.000146
[507/5000][450/535][52123] Loss_D: -0.028553 Loss_G: 0.014471 Loss_D_real: -0.024987 Loss_D_fake 0.003566
[507/5000][455/535][52124] Loss_D: -0.026168 Loss_G: 0.022219 Loss_D_real: -0.020933 Loss_D_fake 0.005235
[507/5000][460/535][52125] Loss_D: -0.027911 Loss_G: 0.018363 Loss_D_real: -0.020020 Loss_D_fake 0.007891
[507/5000][465/535][52126] Loss_D: -0.025237 Loss_G: 0.025021 Loss_D_real: -0.029934 Loss_D_fake -0.004697
[507/5000][470/535][52127] Loss_D: -0.026240 Loss_G: 0.019948 Loss_D_real: -0.028308 Loss_D_fake -0.002069
[507/5000][475/535][52128] Loss_D: -0.026545 Loss_G: 0.009451 Loss_D_real: -0.022953 Loss_D_fake 0.003592
[507/5000][480/535][52129] Loss_D: -0.027245 Loss_G: 0.019361 Loss_D_real: -0.033602 Loss_D_fake -0.006357
[507/5000][485/535][52130] Loss_D: -0.026738 Loss_G: 0.014286 Loss_D_real: -0.022588 Loss_D_fake 0.004151
[507/5000][490/535][52131] Loss_D: -0.027088 Loss_G: 0.029857 Loss_D_real: -0.022867 Loss_D_fake 0.004220
[507/5000][495/535][52132] Loss_D: -0.027135 Loss_G: 0.004264 Loss_D_real: -0.008514 Loss_D_fake 0.018620
[507/5000][500/535][52133] Loss_D: -0.026321 Loss_G: 0.034242 Loss_D_real: -0.027651 Loss_D_fake -0.001330
[507/5000][505/535][52134] Loss_D: -0.027309 Loss_G: 0.019995 Loss_D_real: -0.029431 Loss_D_fake -0.002122
[507/5000][510/535][52135] Loss_D: -0.026491 Loss_G: -0.011051 Loss_D_real: -0.001090 Loss_D_fake 0.025401
[507/5000][515/535][52136] Loss_D: -0.026248 Loss_G: 0.028544 Loss_D_real: -0.035403 Loss_D_fake -0.009155
[507/5000][520/535][52137] Loss_D: -0.026330 Loss_G: 0.020359 Loss_D_real: -0.019286 Loss_D_fake 0.007044
[507/5000][525/535][52138] Loss_D: -0.026024 Loss_G: 0.011554 Loss_D_real: -0.019003 Loss_D_fake 0.007021
[507/5000][530/535][52139] Loss_D: -0.024394 Loss_G: 0.039413 Loss_D_real: -0.035073 Loss_D_fake -0.010679
[507/5000][535/535][52140] Loss_D: -0.023756 Loss_G: -0.016914 Loss_D_real: -0.008864 Loss_D_fake 0.014892
[508/5000][5/535][52141] Loss_D: -0.026687 Loss_G: 0.017016 Loss_D_real: -0.016075 Loss_D_fake 0.010612
[508/5000][10/535][52142] Loss_D: -0.026092 Loss_G: 0.022114 Loss_D_real: -0.019284 Loss_D_fake 0.006808
[508/5000][15/535][52143] Loss_D: -0.026833 Loss_G: -0.000974 Loss_D_real: -0.017640 Loss_D_fake 0.009193
[508/5000][20/535][52144] Loss_D: -0.027793 Loss_G: 0.026434 Loss_D_real: -0.021729 Loss_D_fake 0.006064
[508/5000][25/535][52145] Loss_D: -0.027384 Loss_G: 0.008339 Loss_D_real: -0.004570 Loss_D_fake 0.022814
[508/5000][30/535][52146] Loss_D: -0.026087 Loss_G: 0.027681 Loss_D_real: -0.026062 Loss_D_fake 0.000025
[508/5000][35/535][52147] Loss_D: -0.026700 Loss_G: -0.004143 Loss_D_real: -0.001685 Loss_D_fake 0.025015
[508/5000][40/535][52148] Loss_D: -0.027217 Loss_G: 0.019627 Loss_D_real: -0.017581 Loss_D_fake 0.009636
[508/5000][45/535][52149] Loss_D: -0.027458 Loss_G: -0.004558 Loss_D_real: -0.001629 Loss_D_fake 0.025829
[508/5000][50/535][52150] Loss_D: -0.027661 Loss_G: 0.026712 Loss_D_real: -0.029300 Loss_D_fake -0.001638
[508/5000][55/535][52151] Loss_D: -0.026960 Loss_G: 0.010729 Loss_D_real: -0.014700 Loss_D_fake 0.012260
[508/5000][60/535][52152] Loss_D: -0.026635 Loss_G: 0.032945 Loss_D_real: -0.026913 Loss_D_fake -0.000279
[508/5000][65/535][52153] Loss_D: -0.028404 Loss_G: 0.033869 Loss_D_real: -0.017482 Loss_D_fake 0.010923
[508/5000][70/535][52154] Loss_D: -0.025285 Loss_G: 0.032963 Loss_D_real: -0.033665 Loss_D_fake -0.008379
[508/5000][75/535][52155] Loss_D: -0.026102 Loss_G: 0.006958 Loss_D_real: -0.018999 Loss_D_fake 0.007103
[508/5000][80/535][52156] Loss_D: -0.026444 Loss_G: 0.017933 Loss_D_real: -0.018010 Loss_D_fake 0.008434
[508/5000][85/535][52157] Loss_D: -0.026520 Loss_G: 0.022874 Loss_D_real: -0.020028 Loss_D_fake 0.006492
[508/5000][90/535][52158] Loss_D: -0.026431 Loss_G: 0.006618 Loss_D_real: -0.016952 Loss_D_fake 0.009479
[508/5000][95/535][52159] Loss_D: -0.026843 Loss_G: 0.010690 Loss_D_real: -0.014387 Loss_D_fake 0.012456
[508/5000][100/535][52160] Loss_D: -0.026324 Loss_G: 0.028450 Loss_D_real: -0.033728 Loss_D_fake -0.007404
[508/5000][105/535][52161] Loss_D: -0.026465 Loss_G: 0.015063 Loss_D_real: -0.016832 Loss_D_fake 0.009633
[508/5000][110/535][52162] Loss_D: -0.027246 Loss_G: 0.008810 Loss_D_real: -0.020016 Loss_D_fake 0.007230
[508/5000][115/535][52163] Loss_D: -0.026003 Loss_G: 0.016161 Loss_D_real: -0.029292 Loss_D_fake -0.003289
[508/5000][120/535][52164] Loss_D: -0.026121 Loss_G: 0.020827 Loss_D_real: -0.015997 Loss_D_fake 0.010124
[508/5000][125/535][52165] Loss_D: -0.026614 Loss_G: 0.018125 Loss_D_real: -0.023216 Loss_D_fake 0.003398
[508/5000][130/535][52166] Loss_D: -0.027225 Loss_G: 0.002260 Loss_D_real: -0.006271 Loss_D_fake 0.020954
[508/5000][135/535][52167] Loss_D: -0.026164 Loss_G: 0.008631 Loss_D_real: -0.013401 Loss_D_fake 0.012763
[508/5000][140/535][52168] Loss_D: -0.025687 Loss_G: 0.016098 Loss_D_real: -0.012811 Loss_D_fake 0.012876
[508/5000][145/535][52169] Loss_D: -0.027796 Loss_G: -0.005427 Loss_D_real: -0.007184 Loss_D_fake 0.020613
[508/5000][150/535][52170] Loss_D: -0.026667 Loss_G: 0.015897 Loss_D_real: -0.019044 Loss_D_fake 0.007624
[508/5000][155/535][52171] Loss_D: -0.026671 Loss_G: 0.033028 Loss_D_real: -0.025357 Loss_D_fake 0.001314
[508/5000][160/535][52172] Loss_D: -0.027129 Loss_G: 0.002258 Loss_D_real: -0.009646 Loss_D_fake 0.017483
[508/5000][165/535][52173] Loss_D: -0.026388 Loss_G: 0.029562 Loss_D_real: -0.023192 Loss_D_fake 0.003196
[508/5000][170/535][52174] Loss_D: -0.025883 Loss_G: -0.001383 Loss_D_real: -0.005390 Loss_D_fake 0.020493
[508/5000][175/535][52175] Loss_D: -0.025891 Loss_G: 0.029161 Loss_D_real: -0.026116 Loss_D_fake -0.000225
[508/5000][180/535][52176] Loss_D: -0.026997 Loss_G: 0.034109 Loss_D_real: -0.023327 Loss_D_fake 0.003671
[508/5000][185/535][52177] Loss_D: -0.027149 Loss_G: 0.006471 Loss_D_real: -0.013427 Loss_D_fake 0.013722
[508/5000][190/535][52178] Loss_D: -0.025794 Loss_G: 0.010654 Loss_D_real: -0.018438 Loss_D_fake 0.007357
[508/5000][195/535][52179] Loss_D: -0.026641 Loss_G: -0.000250 Loss_D_real: -0.019326 Loss_D_fake 0.007315
[508/5000][200/535][52180] Loss_D: -0.025552 Loss_G: 0.038292 Loss_D_real: -0.035993 Loss_D_fake -0.010441
[508/5000][205/535][52181] Loss_D: -0.026868 Loss_G: 0.008221 Loss_D_real: -0.002411 Loss_D_fake 0.024457
[508/5000][210/535][52182] Loss_D: -0.026368 Loss_G: 0.006392 Loss_D_real: -0.005359 Loss_D_fake 0.021009
[508/5000][215/535][52183] Loss_D: -0.025700 Loss_G: 0.030724 Loss_D_real: -0.031072 Loss_D_fake -0.005372
[508/5000][220/535][52184] Loss_D: -0.025310 Loss_G: -0.012604 Loss_D_real: -0.002451 Loss_D_fake 0.022859
[508/5000][225/535][52185] Loss_D: -0.025601 Loss_G: 0.030922 Loss_D_real: -0.027217 Loss_D_fake -0.001616
[508/5000][230/535][52186] Loss_D: -0.026339 Loss_G: -0.006688 Loss_D_real: 0.005029 Loss_D_fake 0.031367
[508/5000][235/535][52187] Loss_D: -0.024393 Loss_G: 0.022281 Loss_D_real: -0.024736 Loss_D_fake -0.000343
[508/5000][240/535][52188] Loss_D: -0.024992 Loss_G: -0.001519 Loss_D_real: -0.006922 Loss_D_fake 0.018070
[508/5000][245/535][52189] Loss_D: -0.024989 Loss_G: 0.025188 Loss_D_real: -0.030723 Loss_D_fake -0.005734
[508/5000][250/535][52190] Loss_D: -0.025591 Loss_G: 0.011600 Loss_D_real: -0.016677 Loss_D_fake 0.008914
[508/5000][255/535][52191] Loss_D: -0.027214 Loss_G: 0.026030 Loss_D_real: -0.011763 Loss_D_fake 0.015452
[508/5000][260/535][52192] Loss_D: -0.025229 Loss_G: 0.013109 Loss_D_real: -0.010302 Loss_D_fake 0.014927
[508/5000][265/535][52193] Loss_D: -0.027101 Loss_G: 0.022941 Loss_D_real: -0.016504 Loss_D_fake 0.010596
[508/5000][270/535][52194] Loss_D: -0.026486 Loss_G: 0.017182 Loss_D_real: -0.023626 Loss_D_fake 0.002860
[508/5000][275/535][52195] Loss_D: -0.026972 Loss_G: 0.010902 Loss_D_real: -0.013661 Loss_D_fake 0.013311
[508/5000][280/535][52196] Loss_D: -0.027929 Loss_G: 0.006076 Loss_D_real: -0.010769 Loss_D_fake 0.017160
[508/5000][285/535][52197] Loss_D: -0.026439 Loss_G: 0.011870 Loss_D_real: -0.011687 Loss_D_fake 0.014752
[508/5000][290/535][52198] Loss_D: -0.026058 Loss_G: 0.017212 Loss_D_real: -0.017905 Loss_D_fake 0.008154
[508/5000][295/535][52199] Loss_D: -0.026683 Loss_G: 0.026943 Loss_D_real: -0.030107 Loss_D_fake -0.003424
[508/5000][300/535][52200] Loss_D: -0.026810 Loss_G: -0.006951 Loss_D_real: -0.001334 Loss_D_fake 0.025476
[508/5000][305/535][52201] Loss_D: -0.025457 Loss_G: 0.021433 Loss_D_real: -0.018926 Loss_D_fake 0.006531
[508/5000][310/535][52202] Loss_D: -0.026406 Loss_G: -0.005595 Loss_D_real: 0.000633 Loss_D_fake 0.027039
[508/5000][315/535][52203] Loss_D: -0.024493 Loss_G: 0.010403 Loss_D_real: -0.022089 Loss_D_fake 0.002405
[508/5000][320/535][52204] Loss_D: -0.025916 Loss_G: 0.034547 Loss_D_real: -0.031932 Loss_D_fake -0.006016
[508/5000][325/535][52205] Loss_D: -0.025514 Loss_G: -0.012560 Loss_D_real: -0.003828 Loss_D_fake 0.021686
[508/5000][330/535][52206] Loss_D: -0.027179 Loss_G: 0.014509 Loss_D_real: -0.008574 Loss_D_fake 0.018605
[508/5000][335/535][52207] Loss_D: -0.027781 Loss_G: 0.026632 Loss_D_real: -0.028943 Loss_D_fake -0.001163
[508/5000][340/535][52208] Loss_D: -0.026506 Loss_G: -0.008302 Loss_D_real: -0.005251 Loss_D_fake 0.021255
[508/5000][345/535][52209] Loss_D: -0.026392 Loss_G: 0.014724 Loss_D_real: -0.023528 Loss_D_fake 0.002864
[508/5000][350/535][52210] Loss_D: -0.025688 Loss_G: 0.018975 Loss_D_real: -0.019272 Loss_D_fake 0.006416
[508/5000][355/535][52211] Loss_D: -0.026413 Loss_G: 0.025271 Loss_D_real: -0.032725 Loss_D_fake -0.006311
[508/5000][360/535][52212] Loss_D: -0.027985 Loss_G: 0.014281 Loss_D_real: -0.022386 Loss_D_fake 0.005599
[508/5000][365/535][52213] Loss_D: -0.027363 Loss_G: 0.004683 Loss_D_real: -0.014334 Loss_D_fake 0.013028
[508/5000][370/535][52214] Loss_D: -0.025135 Loss_G: 0.032203 Loss_D_real: -0.027639 Loss_D_fake -0.002504
[508/5000][375/535][52215] Loss_D: -0.027572 Loss_G: 0.025063 Loss_D_real: -0.023165 Loss_D_fake 0.004408
[508/5000][380/535][52216] Loss_D: -0.027228 Loss_G: 0.026126 Loss_D_real: -0.024654 Loss_D_fake 0.002573
[508/5000][385/535][52217] Loss_D: -0.026166 Loss_G: 0.017249 Loss_D_real: -0.020972 Loss_D_fake 0.005193
[508/5000][390/535][52218] Loss_D: -0.026911 Loss_G: -0.007534 Loss_D_real: -0.000730 Loss_D_fake 0.026182
[508/5000][395/535][52219] Loss_D: -0.025933 Loss_G: 0.016788 Loss_D_real: -0.025386 Loss_D_fake 0.000547
[508/5000][400/535][52220] Loss_D: -0.025708 Loss_G: 0.011083 Loss_D_real: -0.011149 Loss_D_fake 0.014559
[508/5000][405/535][52221] Loss_D: -0.026786 Loss_G: 0.014107 Loss_D_real: -0.017284 Loss_D_fake 0.009502
[508/5000][410/535][52222] Loss_D: -0.026968 Loss_G: 0.003539 Loss_D_real: -0.022774 Loss_D_fake 0.004195
[508/5000][415/535][52223] Loss_D: -0.027703 Loss_G: 0.002205 Loss_D_real: -0.017143 Loss_D_fake 0.010560
[508/5000][420/535][52224] Loss_D: -0.026188 Loss_G: 0.020714 Loss_D_real: -0.022787 Loss_D_fake 0.003401
[508/5000][425/535][52225] Loss_D: -0.026186 Loss_G: 0.019243 Loss_D_real: -0.015213 Loss_D_fake 0.010974
[508/5000][430/535][52226] Loss_D: -0.028170 Loss_G: 0.018012 Loss_D_real: -0.019807 Loss_D_fake 0.008363
[508/5000][435/535][52227] Loss_D: -0.027773 Loss_G: 0.013783 Loss_D_real: -0.019437 Loss_D_fake 0.008336
[508/5000][440/535][52228] Loss_D: -0.023888 Loss_G: -0.015296 Loss_D_real: 0.004044 Loss_D_fake 0.027931
[508/5000][445/535][52229] Loss_D: -0.026549 Loss_G: 0.023187 Loss_D_real: -0.020910 Loss_D_fake 0.005639
[508/5000][450/535][52230] Loss_D: -0.026035 Loss_G: 0.003192 Loss_D_real: -0.009676 Loss_D_fake 0.016359
[508/5000][455/535][52231] Loss_D: -0.027211 Loss_G: 0.022046 Loss_D_real: -0.025332 Loss_D_fake 0.001879
[508/5000][460/535][52232] Loss_D: -0.026885 Loss_G: -0.005043 Loss_D_real: -0.016563 Loss_D_fake 0.010322
[508/5000][465/535][52233] Loss_D: -0.026033 Loss_G: 0.007473 Loss_D_real: -0.017364 Loss_D_fake 0.008668
[508/5000][470/535][52234] Loss_D: -0.024779 Loss_G: 0.029458 Loss_D_real: -0.032883 Loss_D_fake -0.008104
[508/5000][475/535][52235] Loss_D: -0.027731 Loss_G: 0.029254 Loss_D_real: -0.023182 Loss_D_fake 0.004549
[508/5000][480/535][52236] Loss_D: -0.026824 Loss_G: 0.012775 Loss_D_real: -0.014433 Loss_D_fake 0.012391
[508/5000][485/535][52237] Loss_D: -0.027397 Loss_G: 0.034416 Loss_D_real: -0.032177 Loss_D_fake -0.004780
[508/5000][490/535][52238] Loss_D: -0.028824 Loss_G: 0.017170 Loss_D_real: -0.010951 Loss_D_fake 0.017873
[508/5000][495/535][52239] Loss_D: -0.025256 Loss_G: 0.002352 Loss_D_real: -0.016270 Loss_D_fake 0.008985
[508/5000][500/535][52240] Loss_D: -0.026651 Loss_G: 0.022867 Loss_D_real: -0.020125 Loss_D_fake 0.006526
[508/5000][505/535][52241] Loss_D: -0.025319 Loss_G: 0.000817 Loss_D_real: 0.000901 Loss_D_fake 0.026220
[508/5000][510/535][52242] Loss_D: -0.024830 Loss_G: -0.012033 Loss_D_real: -0.005385 Loss_D_fake 0.019445
[508/5000][515/535][52243] Loss_D: -0.025499 Loss_G: 0.012252 Loss_D_real: -0.019227 Loss_D_fake 0.006273
[508/5000][520/535][52244] Loss_D: -0.025870 Loss_G: 0.008884 Loss_D_real: -0.025622 Loss_D_fake 0.000248
[508/5000][525/535][52245] Loss_D: -0.026075 Loss_G: 0.014529 Loss_D_real: -0.012538 Loss_D_fake 0.013536
[508/5000][530/535][52246] Loss_D: -0.025982 Loss_G: 0.019584 Loss_D_real: -0.019102 Loss_D_fake 0.006880
[508/5000][535/535][52247] Loss_D: -0.030161 Loss_G: -0.000985 Loss_D_real: -0.010735 Loss_D_fake 0.019427
[509/5000][5/535][52248] Loss_D: -0.027283 Loss_G: 0.002101 Loss_D_real: -0.015308 Loss_D_fake 0.011975
[509/5000][10/535][52249] Loss_D: -0.027435 Loss_G: 0.022893 Loss_D_real: -0.027555 Loss_D_fake -0.000120
[509/5000][15/535][52250] Loss_D: -0.025078 Loss_G: -0.001193 Loss_D_real: -0.003953 Loss_D_fake 0.021124
[509/5000][20/535][52251] Loss_D: -0.026763 Loss_G: 0.018761 Loss_D_real: -0.018791 Loss_D_fake 0.007971
[509/5000][25/535][52252] Loss_D: -0.026726 Loss_G: 0.014555 Loss_D_real: -0.017817 Loss_D_fake 0.008908
[509/5000][30/535][52253] Loss_D: -0.027063 Loss_G: 0.026632 Loss_D_real: -0.016255 Loss_D_fake 0.010808
[509/5000][35/535][52254] Loss_D: -0.025969 Loss_G: 0.010937 Loss_D_real: -0.010228 Loss_D_fake 0.015741
[509/5000][40/535][52255] Loss_D: -0.026224 Loss_G: 0.012609 Loss_D_real: -0.014375 Loss_D_fake 0.011849
[509/5000][45/535][52256] Loss_D: -0.026882 Loss_G: -0.007163 Loss_D_real: -0.003390 Loss_D_fake 0.023493
[509/5000][50/535][52257] Loss_D: -0.024839 Loss_G: 0.029880 Loss_D_real: -0.031066 Loss_D_fake -0.006227
[509/5000][55/535][52258] Loss_D: -0.024481 Loss_G: 0.039952 Loss_D_real: -0.039978 Loss_D_fake -0.015496
[509/5000][60/535][52259] Loss_D: -0.026976 Loss_G: 0.025171 Loss_D_real: -0.029888 Loss_D_fake -0.002913
[509/5000][65/535][52260] Loss_D: -0.025329 Loss_G: -0.011623 Loss_D_real: 0.004762 Loss_D_fake 0.030091
[509/5000][70/535][52261] Loss_D: -0.025331 Loss_G: 0.024276 Loss_D_real: -0.027329 Loss_D_fake -0.001998
[509/5000][75/535][52262] Loss_D: -0.025888 Loss_G: 0.016419 Loss_D_real: -0.019848 Loss_D_fake 0.006040
[509/5000][80/535][52263] Loss_D: -0.025288 Loss_G: -0.000521 Loss_D_real: -0.012876 Loss_D_fake 0.012412
[509/5000][85/535][52264] Loss_D: -0.025290 Loss_G: 0.003317 Loss_D_real: -0.009610 Loss_D_fake 0.015680
[509/5000][90/535][52265] Loss_D: -0.025266 Loss_G: -0.004934 Loss_D_real: -0.005552 Loss_D_fake 0.019714
[509/5000][95/535][52266] Loss_D: -0.025321 Loss_G: 0.017836 Loss_D_real: -0.014403 Loss_D_fake 0.010918
[509/5000][100/535][52267] Loss_D: -0.026720 Loss_G: 0.026025 Loss_D_real: -0.019561 Loss_D_fake 0.007160
[509/5000][105/535][52268] Loss_D: -0.027235 Loss_G: 0.026296 Loss_D_real: -0.023301 Loss_D_fake 0.003934
[509/5000][110/535][52269] Loss_D: -0.025423 Loss_G: 0.004028 Loss_D_real: 0.001502 Loss_D_fake 0.026925
[509/5000][115/535][52270] Loss_D: -0.025745 Loss_G: 0.033996 Loss_D_real: -0.036027 Loss_D_fake -0.010281
[509/5000][120/535][52271] Loss_D: -0.025653 Loss_G: 0.005523 Loss_D_real: -0.010704 Loss_D_fake 0.014950
[509/5000][125/535][52272] Loss_D: -0.025947 Loss_G: 0.014380 Loss_D_real: -0.023250 Loss_D_fake 0.002697
[509/5000][130/535][52273] Loss_D: -0.025927 Loss_G: 0.009381 Loss_D_real: -0.013113 Loss_D_fake 0.012814
[509/5000][135/535][52274] Loss_D: -0.028712 Loss_G: 0.011153 Loss_D_real: -0.014403 Loss_D_fake 0.014309
[509/5000][140/535][52275] Loss_D: -0.026850 Loss_G: -0.002285 Loss_D_real: 0.000424 Loss_D_fake 0.027274
[509/5000][145/535][52276] Loss_D: -0.024481 Loss_G: -0.004397 Loss_D_real: -0.004611 Loss_D_fake 0.019870
[509/5000][150/535][52277] Loss_D: -0.024982 Loss_G: 0.024750 Loss_D_real: -0.024504 Loss_D_fake 0.000478
[509/5000][155/535][52278] Loss_D: -0.026719 Loss_G: 0.017581 Loss_D_real: -0.019052 Loss_D_fake 0.007668
[509/5000][160/535][52279] Loss_D: -0.027535 Loss_G: 0.016136 Loss_D_real: -0.019199 Loss_D_fake 0.008336
[509/5000][165/535][52280] Loss_D: -0.025789 Loss_G: -0.017050 Loss_D_real: 0.004449 Loss_D_fake 0.030239
[509/5000][170/535][52281] Loss_D: -0.026971 Loss_G: 0.010064 Loss_D_real: -0.015777 Loss_D_fake 0.011194
[509/5000][175/535][52282] Loss_D: -0.024657 Loss_G: 0.035061 Loss_D_real: -0.033998 Loss_D_fake -0.009341
[509/5000][180/535][52283] Loss_D: -0.026804 Loss_G: 0.015823 Loss_D_real: -0.008311 Loss_D_fake 0.018493
[509/5000][185/535][52284] Loss_D: -0.026108 Loss_G: 0.013984 Loss_D_real: -0.020676 Loss_D_fake 0.005432
[509/5000][190/535][52285] Loss_D: -0.026882 Loss_G: 0.008232 Loss_D_real: -0.023615 Loss_D_fake 0.003267
[509/5000][195/535][52286] Loss_D: -0.025535 Loss_G: 0.038900 Loss_D_real: -0.030044 Loss_D_fake -0.004509
[509/5000][200/535][52287] Loss_D: -0.026786 Loss_G: 0.002282 Loss_D_real: -0.005993 Loss_D_fake 0.020793
[509/5000][205/535][52288] Loss_D: -0.026476 Loss_G: 0.015232 Loss_D_real: -0.010352 Loss_D_fake 0.016124
[509/5000][210/535][52289] Loss_D: -0.026760 Loss_G: 0.013012 Loss_D_real: -0.008426 Loss_D_fake 0.018334
[509/5000][215/535][52290] Loss_D: -0.026983 Loss_G: -0.013235 Loss_D_real: -0.000648 Loss_D_fake 0.026335
[509/5000][220/535][52291] Loss_D: -0.024636 Loss_G: 0.036213 Loss_D_real: -0.027762 Loss_D_fake -0.003127
[509/5000][225/535][52292] Loss_D: -0.025552 Loss_G: -0.003207 Loss_D_real: -0.006069 Loss_D_fake 0.019483
[509/5000][230/535][52293] Loss_D: -0.026355 Loss_G: 0.020275 Loss_D_real: -0.014543 Loss_D_fake 0.011812
[509/5000][235/535][52294] Loss_D: -0.027194 Loss_G: 0.009058 Loss_D_real: -0.000817 Loss_D_fake 0.026377
[509/5000][240/535][52295] Loss_D: -0.023980 Loss_G: 0.000182 Loss_D_real: 0.001739 Loss_D_fake 0.025719
[509/5000][245/535][52296] Loss_D: -0.025784 Loss_G: 0.002302 Loss_D_real: -0.008490 Loss_D_fake 0.017293
[509/5000][250/535][52297] Loss_D: -0.024758 Loss_G: 0.037764 Loss_D_real: -0.036366 Loss_D_fake -0.011608
[509/5000][255/535][52298] Loss_D: -0.026138 Loss_G: 0.023523 Loss_D_real: -0.018613 Loss_D_fake 0.007525
[509/5000][260/535][52299] Loss_D: -0.025708 Loss_G: 0.031103 Loss_D_real: -0.025934 Loss_D_fake -0.000226
[509/5000][265/535][52300] Loss_D: -0.025092 Loss_G: -0.000859 Loss_D_real: 0.001536 Loss_D_fake 0.026628
[509/5000][270/535][52301] Loss_D: -0.024127 Loss_G: 0.033953 Loss_D_real: -0.031200 Loss_D_fake -0.007073
[509/5000][275/535][52302] Loss_D: -0.026907 Loss_G: 0.010141 Loss_D_real: -0.014634 Loss_D_fake 0.012273
[509/5000][280/535][52303] Loss_D: -0.025656 Loss_G: 0.014774 Loss_D_real: -0.013677 Loss_D_fake 0.011979
[509/5000][285/535][52304] Loss_D: -0.026722 Loss_G: 0.012541 Loss_D_real: -0.014383 Loss_D_fake 0.012339
[509/5000][290/535][52305] Loss_D: -0.028064 Loss_G: 0.031613 Loss_D_real: -0.031389 Loss_D_fake -0.003325
[509/5000][295/535][52306] Loss_D: -0.026886 Loss_G: -0.007274 Loss_D_real: -0.005374 Loss_D_fake 0.021512
[509/5000][300/535][52307] Loss_D: -0.026187 Loss_G: 0.012211 Loss_D_real: -0.022712 Loss_D_fake 0.003476
[509/5000][305/535][52308] Loss_D: -0.026087 Loss_G: 0.008017 Loss_D_real: -0.019056 Loss_D_fake 0.007031
[509/5000][310/535][52309] Loss_D: -0.028021 Loss_G: 0.016078 Loss_D_real: -0.016073 Loss_D_fake 0.011948
[509/5000][315/535][52310] Loss_D: -0.026960 Loss_G: 0.021867 Loss_D_real: -0.024932 Loss_D_fake 0.002028
[509/5000][320/535][52311] Loss_D: -0.027204 Loss_G: -0.003163 Loss_D_real: 0.001175 Loss_D_fake 0.028379
[509/5000][325/535][52312] Loss_D: -0.025335 Loss_G: 0.016912 Loss_D_real: -0.022654 Loss_D_fake 0.002682
[509/5000][330/535][52313] Loss_D: -0.027303 Loss_G: 0.034510 Loss_D_real: -0.029682 Loss_D_fake -0.002379
[509/5000][335/535][52314] Loss_D: -0.026135 Loss_G: -0.003255 Loss_D_real: -0.007202 Loss_D_fake 0.018933
[509/5000][340/535][52315] Loss_D: -0.025643 Loss_G: 0.009542 Loss_D_real: -0.007755 Loss_D_fake 0.017888
[509/5000][345/535][52316] Loss_D: -0.026609 Loss_G: 0.015782 Loss_D_real: -0.012127 Loss_D_fake 0.014481
[509/5000][350/535][52317] Loss_D: -0.024381 Loss_G: 0.027224 Loss_D_real: -0.037945 Loss_D_fake -0.013565
[509/5000][355/535][52318] Loss_D: -0.026515 Loss_G: -0.002744 Loss_D_real: 0.001308 Loss_D_fake 0.027823
[509/5000][360/535][52319] Loss_D: -0.026952 Loss_G: 0.016083 Loss_D_real: -0.015473 Loss_D_fake 0.011479
[509/5000][365/535][52320] Loss_D: -0.027441 Loss_G: 0.013501 Loss_D_real: -0.023209 Loss_D_fake 0.004233
[509/5000][370/535][52321] Loss_D: -0.027636 Loss_G: 0.019937 Loss_D_real: -0.024775 Loss_D_fake 0.002861
[509/5000][375/535][52322] Loss_D: -0.026729 Loss_G: 0.025547 Loss_D_real: -0.024835 Loss_D_fake 0.001895
[509/5000][380/535][52323] Loss_D: -0.027542 Loss_G: 0.022945 Loss_D_real: -0.016331 Loss_D_fake 0.011212
[509/5000][385/535][52324] Loss_D: -0.027741 Loss_G: -0.008508 Loss_D_real: -0.013160 Loss_D_fake 0.014581
[509/5000][390/535][52325] Loss_D: -0.024761 Loss_G: -0.008601 Loss_D_real: -0.003352 Loss_D_fake 0.021409
[509/5000][395/535][52326] Loss_D: -0.026168 Loss_G: 0.025682 Loss_D_real: -0.022600 Loss_D_fake 0.003568
[509/5000][400/535][52327] Loss_D: -0.025916 Loss_G: 0.040548 Loss_D_real: -0.032313 Loss_D_fake -0.006397
[509/5000][405/535][52328] Loss_D: -0.027062 Loss_G: -0.006805 Loss_D_real: -0.000705 Loss_D_fake 0.026356
[509/5000][410/535][52329] Loss_D: -0.026180 Loss_G: 0.005627 Loss_D_real: -0.010587 Loss_D_fake 0.015593
[509/5000][415/535][52330] Loss_D: -0.026552 Loss_G: 0.008899 Loss_D_real: -0.012765 Loss_D_fake 0.013787
[509/5000][420/535][52331] Loss_D: -0.026426 Loss_G: 0.017476 Loss_D_real: -0.015149 Loss_D_fake 0.011277
[509/5000][425/535][52332] Loss_D: -0.026685 Loss_G: 0.027267 Loss_D_real: -0.026956 Loss_D_fake -0.000271
[509/5000][430/535][52333] Loss_D: -0.027692 Loss_G: 0.017030 Loss_D_real: -0.016260 Loss_D_fake 0.011433
[509/5000][435/535][52334] Loss_D: -0.027226 Loss_G: 0.000176 Loss_D_real: -0.003176 Loss_D_fake 0.024050
[509/5000][440/535][52335] Loss_D: -0.026529 Loss_G: -0.008061 Loss_D_real: 0.001930 Loss_D_fake 0.028459
[509/5000][445/535][52336] Loss_D: -0.027307 Loss_G: 0.024993 Loss_D_real: -0.025641 Loss_D_fake 0.001666
[509/5000][450/535][52337] Loss_D: -0.027687 Loss_G: 0.004233 Loss_D_real: -0.010753 Loss_D_fake 0.016934
[509/5000][455/535][52338] Loss_D: -0.025763 Loss_G: 0.021529 Loss_D_real: -0.025626 Loss_D_fake 0.000137
[509/5000][460/535][52339] Loss_D: -0.027288 Loss_G: 0.009295 Loss_D_real: -0.016485 Loss_D_fake 0.010803
[509/5000][465/535][52340] Loss_D: -0.027615 Loss_G: 0.005819 Loss_D_real: -0.011807 Loss_D_fake 0.015808
[509/5000][470/535][52341] Loss_D: -0.026491 Loss_G: 0.025602 Loss_D_real: -0.017325 Loss_D_fake 0.009166
[509/5000][475/535][52342] Loss_D: -0.025013 Loss_G: -0.008668 Loss_D_real: 0.009804 Loss_D_fake 0.034816
[509/5000][480/535][52343] Loss_D: -0.025323 Loss_G: 0.027159 Loss_D_real: -0.034983 Loss_D_fake -0.009660
[509/5000][485/535][52344] Loss_D: -0.026868 Loss_G: 0.003063 Loss_D_real: -0.010876 Loss_D_fake 0.015992
[509/5000][490/535][52345] Loss_D: -0.026185 Loss_G: 0.007772 Loss_D_real: -0.015481 Loss_D_fake 0.010705
[509/5000][495/535][52346] Loss_D: -0.026701 Loss_G: 0.000120 Loss_D_real: -0.009960 Loss_D_fake 0.016740
[509/5000][500/535][52347] Loss_D: -0.026810 Loss_G: 0.030167 Loss_D_real: -0.025655 Loss_D_fake 0.001154
[509/5000][505/535][52348] Loss_D: -0.026736 Loss_G: -0.004467 Loss_D_real: -0.002105 Loss_D_fake 0.024631
[509/5000][510/535][52349] Loss_D: -0.026026 Loss_G: 0.000654 Loss_D_real: -0.019302 Loss_D_fake 0.006725
[509/5000][515/535][52350] Loss_D: -0.027763 Loss_G: 0.012539 Loss_D_real: -0.016880 Loss_D_fake 0.010884
[509/5000][520/535][52351] Loss_D: -0.026751 Loss_G: 0.011538 Loss_D_real: -0.022434 Loss_D_fake 0.004317
[509/5000][525/535][52352] Loss_D: -0.026924 Loss_G: 0.026888 Loss_D_real: -0.028770 Loss_D_fake -0.001846
[509/5000][530/535][52353] Loss_D: -0.026610 Loss_G: 0.020847 Loss_D_real: -0.023261 Loss_D_fake 0.003350
[509/5000][535/535][52354] Loss_D: -0.022565 Loss_G: -0.002973 Loss_D_real: 0.006863 Loss_D_fake 0.029428
[510/5000][5/535][52355] Loss_D: -0.025454 Loss_G: 0.002561 Loss_D_real: -0.014470 Loss_D_fake 0.010984
[510/5000][10/535][52356] Loss_D: -0.026127 Loss_G: 0.034061 Loss_D_real: -0.026571 Loss_D_fake -0.000444
[510/5000][15/535][52357] Loss_D: -0.026956 Loss_G: 0.014448 Loss_D_real: -0.016551 Loss_D_fake 0.010405
[510/5000][20/535][52358] Loss_D: -0.026606 Loss_G: 0.031547 Loss_D_real: -0.022797 Loss_D_fake 0.003809
[510/5000][25/535][52359] Loss_D: -0.025720 Loss_G: 0.033216 Loss_D_real: -0.040923 Loss_D_fake -0.015203
[510/5000][30/535][52360] Loss_D: -0.025711 Loss_G: 0.010976 Loss_D_real: -0.010248 Loss_D_fake 0.015463
[510/5000][35/535][52361] Loss_D: -0.025331 Loss_G: 0.030101 Loss_D_real: -0.023808 Loss_D_fake 0.001523
[510/5000][40/535][52362] Loss_D: -0.028060 Loss_G: 0.003035 Loss_D_real: -0.007804 Loss_D_fake 0.020256
[510/5000][45/535][52363] Loss_D: -0.026681 Loss_G: 0.001852 Loss_D_real: -0.010815 Loss_D_fake 0.015867
[510/5000][50/535][52364] Loss_D: -0.027164 Loss_G: 0.022605 Loss_D_real: -0.023547 Loss_D_fake 0.003617
[510/5000][55/535][52365] Loss_D: -0.028156 Loss_G: 0.013150 Loss_D_real: -0.025458 Loss_D_fake 0.002698
[510/5000][60/535][52366] Loss_D: -0.027130 Loss_G: 0.007584 Loss_D_real: -0.014494 Loss_D_fake 0.012636
[510/5000][65/535][52367] Loss_D: -0.026236 Loss_G: 0.005628 Loss_D_real: 0.000154 Loss_D_fake 0.026390
[510/5000][70/535][52368] Loss_D: -0.026926 Loss_G: 0.018313 Loss_D_real: -0.027109 Loss_D_fake -0.000183
[510/5000][75/535][52369] Loss_D: -0.025786 Loss_G: 0.018331 Loss_D_real: -0.012435 Loss_D_fake 0.013351
[510/5000][80/535][52370] Loss_D: -0.026307 Loss_G: 0.023057 Loss_D_real: -0.027829 Loss_D_fake -0.001522
[510/5000][85/535][52371] Loss_D: -0.026567 Loss_G: 0.024338 Loss_D_real: -0.024823 Loss_D_fake 0.001744
[510/5000][90/535][52372] Loss_D: -0.027249 Loss_G: 0.006870 Loss_D_real: -0.010449 Loss_D_fake 0.016801
[510/5000][95/535][52373] Loss_D: -0.026459 Loss_G: 0.008559 Loss_D_real: -0.025121 Loss_D_fake 0.001338
[510/5000][100/535][52374] Loss_D: -0.027204 Loss_G: -0.005693 Loss_D_real: -0.003708 Loss_D_fake 0.023496
[510/5000][105/535][52375] Loss_D: -0.024810 Loss_G: 0.018929 Loss_D_real: -0.024752 Loss_D_fake 0.000058
[510/5000][110/535][52376] Loss_D: -0.026242 Loss_G: 0.002375 Loss_D_real: -0.005584 Loss_D_fake 0.020658
[510/5000][115/535][52377] Loss_D: -0.025667 Loss_G: 0.011544 Loss_D_real: -0.011174 Loss_D_fake 0.014494
[510/5000][120/535][52378] Loss_D: -0.024820 Loss_G: 0.026414 Loss_D_real: -0.036251 Loss_D_fake -0.011431
[510/5000][125/535][52379] Loss_D: -0.027188 Loss_G: 0.003905 Loss_D_real: -0.013885 Loss_D_fake 0.013303
[510/5000][130/535][52380] Loss_D: -0.025284 Loss_G: 0.027197 Loss_D_real: -0.029542 Loss_D_fake -0.004258
[510/5000][135/535][52381] Loss_D: -0.028608 Loss_G: 0.009095 Loss_D_real: -0.022142 Loss_D_fake 0.006466
[510/5000][140/535][52382] Loss_D: -0.028176 Loss_G: 0.005667 Loss_D_real: -0.004525 Loss_D_fake 0.023652
[510/5000][145/535][52383] Loss_D: -0.026265 Loss_G: 0.015283 Loss_D_real: -0.018796 Loss_D_fake 0.007469
[510/5000][150/535][52384] Loss_D: -0.024520 Loss_G: 0.028611 Loss_D_real: -0.033983 Loss_D_fake -0.009463
[510/5000][155/535][52385] Loss_D: -0.028020 Loss_G: -0.002754 Loss_D_real: -0.009373 Loss_D_fake 0.018646
[510/5000][160/535][52386] Loss_D: -0.025990 Loss_G: 0.026895 Loss_D_real: -0.027607 Loss_D_fake -0.001618
[510/5000][165/535][52387] Loss_D: -0.027377 Loss_G: 0.018988 Loss_D_real: -0.024742 Loss_D_fake 0.002635
[510/5000][170/535][52388] Loss_D: -0.028181 Loss_G: -0.005619 Loss_D_real: -0.005709 Loss_D_fake 0.022471
[510/5000][175/535][52389] Loss_D: -0.027363 Loss_G: 0.002503 Loss_D_real: -0.016119 Loss_D_fake 0.011243
[510/5000][180/535][52390] Loss_D: -0.026085 Loss_G: 0.024955 Loss_D_real: -0.028918 Loss_D_fake -0.002834
[510/5000][185/535][52391] Loss_D: -0.027478 Loss_G: 0.014073 Loss_D_real: -0.012530 Loss_D_fake 0.014948
[510/5000][190/535][52392] Loss_D: -0.027215 Loss_G: 0.001478 Loss_D_real: -0.012588 Loss_D_fake 0.014626
[510/5000][195/535][52393] Loss_D: -0.027129 Loss_G: 0.019732 Loss_D_real: -0.029945 Loss_D_fake -0.002816
[510/5000][200/535][52394] Loss_D: -0.026764 Loss_G: 0.011660 Loss_D_real: -0.012362 Loss_D_fake 0.014403
[510/5000][205/535][52395] Loss_D: -0.027441 Loss_G: 0.024676 Loss_D_real: -0.025047 Loss_D_fake 0.002394
[510/5000][210/535][52396] Loss_D: -0.024993 Loss_G: 0.025992 Loss_D_real: -0.025356 Loss_D_fake -0.000363
[510/5000][215/535][52397] Loss_D: -0.026512 Loss_G: 0.006787 Loss_D_real: -0.012756 Loss_D_fake 0.013756
[510/5000][220/535][52398] Loss_D: -0.025216 Loss_G: 0.010057 Loss_D_real: -0.028285 Loss_D_fake -0.003069
[510/5000][225/535][52399] Loss_D: -0.026804 Loss_G: 0.015592 Loss_D_real: -0.021472 Loss_D_fake 0.005333
[510/5000][230/535][52400] Loss_D: -0.026451 Loss_G: 0.020909 Loss_D_real: -0.021900 Loss_D_fake 0.004551
[510/5000][235/535][52401] Loss_D: -0.026218 Loss_G: 0.016541 Loss_D_real: -0.019068 Loss_D_fake 0.007150
[510/5000][240/535][52402] Loss_D: -0.025889 Loss_G: -0.000064 Loss_D_real: -0.009346 Loss_D_fake 0.016544
[510/5000][245/535][52403] Loss_D: -0.024873 Loss_G: 0.032248 Loss_D_real: -0.036016 Loss_D_fake -0.011143
[510/5000][250/535][52404] Loss_D: -0.026333 Loss_G: 0.012772 Loss_D_real: -0.013387 Loss_D_fake 0.012946
[510/5000][255/535][52405] Loss_D: -0.026887 Loss_G: 0.006101 Loss_D_real: -0.015638 Loss_D_fake 0.011249
[510/5000][260/535][52406] Loss_D: -0.025950 Loss_G: 0.010497 Loss_D_real: -0.020280 Loss_D_fake 0.005670
[510/5000][265/535][52407] Loss_D: -0.026202 Loss_G: 0.012424 Loss_D_real: -0.012719 Loss_D_fake 0.013482
[510/5000][270/535][52408] Loss_D: -0.026443 Loss_G: 0.029505 Loss_D_real: -0.018911 Loss_D_fake 0.007532
[510/5000][275/535][52409] Loss_D: -0.026536 Loss_G: -0.010472 Loss_D_real: 0.000797 Loss_D_fake 0.027333
[510/5000][280/535][52410] Loss_D: -0.025522 Loss_G: 0.030111 Loss_D_real: -0.033493 Loss_D_fake -0.007971
[510/5000][285/535][52411] Loss_D: -0.027345 Loss_G: 0.012018 Loss_D_real: -0.007819 Loss_D_fake 0.019526
[510/5000][290/535][52412] Loss_D: -0.027184 Loss_G: 0.004862 Loss_D_real: -0.009253 Loss_D_fake 0.017931
[510/5000][295/535][52413] Loss_D: -0.026174 Loss_G: 0.010440 Loss_D_real: -0.021821 Loss_D_fake 0.004353
[510/5000][300/535][52414] Loss_D: -0.025095 Loss_G: 0.033492 Loss_D_real: -0.032935 Loss_D_fake -0.007840
[510/5000][305/535][52415] Loss_D: -0.027271 Loss_G: 0.014935 Loss_D_real: -0.017121 Loss_D_fake 0.010150
[510/5000][310/535][52416] Loss_D: -0.025712 Loss_G: 0.025231 Loss_D_real: -0.027872 Loss_D_fake -0.002160
[510/5000][315/535][52417] Loss_D: -0.024698 Loss_G: 0.034161 Loss_D_real: -0.033644 Loss_D_fake -0.008946
[510/5000][320/535][52418] Loss_D: -0.026861 Loss_G: 0.007905 Loss_D_real: -0.009415 Loss_D_fake 0.017446
[510/5000][325/535][52419] Loss_D: -0.026731 Loss_G: 0.023819 Loss_D_real: -0.029167 Loss_D_fake -0.002436
[510/5000][330/535][52420] Loss_D: -0.026343 Loss_G: 0.016019 Loss_D_real: -0.021186 Loss_D_fake 0.005157
[510/5000][335/535][52421] Loss_D: -0.026112 Loss_G: 0.010883 Loss_D_real: -0.019092 Loss_D_fake 0.007020
[510/5000][340/535][52422] Loss_D: -0.026299 Loss_G: 0.018670 Loss_D_real: -0.018318 Loss_D_fake 0.007981
[510/5000][345/535][52423] Loss_D: -0.025215 Loss_G: -0.019446 Loss_D_real: 0.000245 Loss_D_fake 0.025460
[510/5000][350/535][52424] Loss_D: -0.025185 Loss_G: 0.021437 Loss_D_real: -0.027068 Loss_D_fake -0.001883
[510/5000][355/535][52425] Loss_D: -0.026901 Loss_G: 0.001943 Loss_D_real: -0.002320 Loss_D_fake 0.024582
[510/5000][360/535][52426] Loss_D: -0.025555 Loss_G: 0.005659 Loss_D_real: -0.004688 Loss_D_fake 0.020867
[510/5000][365/535][52427] Loss_D: -0.026110 Loss_G: 0.035460 Loss_D_real: -0.031142 Loss_D_fake -0.005032
[510/5000][370/535][52428] Loss_D: -0.025961 Loss_G: -0.009220 Loss_D_real: -0.008033 Loss_D_fake 0.017928
[510/5000][375/535][52429] Loss_D: -0.024904 Loss_G: 0.024117 Loss_D_real: -0.035878 Loss_D_fake -0.010974
[510/5000][380/535][52430] Loss_D: -0.027681 Loss_G: 0.008452 Loss_D_real: -0.011971 Loss_D_fake 0.015710
[510/5000][385/535][52431] Loss_D: -0.026610 Loss_G: 0.014213 Loss_D_real: -0.019548 Loss_D_fake 0.007061
[510/5000][390/535][52432] Loss_D: -0.025485 Loss_G: 0.028319 Loss_D_real: -0.017396 Loss_D_fake 0.008089
[510/5000][395/535][52433] Loss_D: -0.026676 Loss_G: 0.007945 Loss_D_real: -0.015554 Loss_D_fake 0.011122
[510/5000][400/535][52434] Loss_D: -0.024631 Loss_G: 0.039080 Loss_D_real: -0.032333 Loss_D_fake -0.007702
[510/5000][405/535][52435] Loss_D: -0.026983 Loss_G: 0.019494 Loss_D_real: -0.025582 Loss_D_fake 0.001401
[510/5000][410/535][52436] Loss_D: -0.027478 Loss_G: 0.011422 Loss_D_real: -0.012764 Loss_D_fake 0.014714
[510/5000][415/535][52437] Loss_D: -0.027903 Loss_G: 0.006975 Loss_D_real: -0.017820 Loss_D_fake 0.010083
[510/5000][420/535][52438] Loss_D: -0.025447 Loss_G: -0.002905 Loss_D_real: -0.012774 Loss_D_fake 0.012673
[510/5000][425/535][52439] Loss_D: -0.026016 Loss_G: -0.005003 Loss_D_real: -0.001701 Loss_D_fake 0.024314
[510/5000][430/535][52440] Loss_D: -0.025371 Loss_G: 0.019783 Loss_D_real: -0.026834 Loss_D_fake -0.001463
[510/5000][435/535][52441] Loss_D: -0.027302 Loss_G: 0.016454 Loss_D_real: -0.016423 Loss_D_fake 0.010879
[510/5000][440/535][52442] Loss_D: -0.027147 Loss_G: 0.020088 Loss_D_real: -0.019226 Loss_D_fake 0.007922
[510/5000][445/535][52443] Loss_D: -0.026403 Loss_G: 0.016583 Loss_D_real: -0.025603 Loss_D_fake 0.000800
[510/5000][450/535][52444] Loss_D: -0.026188 Loss_G: 0.003990 Loss_D_real: -0.004652 Loss_D_fake 0.021536
[510/5000][455/535][52445] Loss_D: -0.026032 Loss_G: 0.020998 Loss_D_real: -0.026734 Loss_D_fake -0.000702
[510/5000][460/535][52446] Loss_D: -0.026230 Loss_G: -0.006434 Loss_D_real: 0.003490 Loss_D_fake 0.029720
[510/5000][465/535][52447] Loss_D: -0.026812 Loss_G: 0.023869 Loss_D_real: -0.023470 Loss_D_fake 0.003342
[510/5000][470/535][52448] Loss_D: -0.026249 Loss_G: 0.012874 Loss_D_real: -0.014441 Loss_D_fake 0.011808
[510/5000][475/535][52449] Loss_D: -0.026285 Loss_G: 0.026295 Loss_D_real: -0.015845 Loss_D_fake 0.010440
[510/5000][480/535][52450] Loss_D: -0.025414 Loss_G: -0.010471 Loss_D_real: 0.001534 Loss_D_fake 0.026948
[510/5000][485/535][52451] Loss_D: -0.027233 Loss_G: 0.012982 Loss_D_real: -0.017924 Loss_D_fake 0.009309
[510/5000][490/535][52452] Loss_D: -0.024495 Loss_G: 0.024139 Loss_D_real: -0.026127 Loss_D_fake -0.001632
[510/5000][495/535][52453] Loss_D: -0.027010 Loss_G: 0.006500 Loss_D_real: -0.005884 Loss_D_fake 0.021126
[510/5000][500/535][52454] Loss_D: -0.025518 Loss_G: 0.028009 Loss_D_real: -0.025811 Loss_D_fake -0.000293
[510/5000][505/535][52455] Loss_D: -0.027266 Loss_G: 0.008684 Loss_D_real: -0.015495 Loss_D_fake 0.011771
[510/5000][510/535][52456] Loss_D: -0.024739 Loss_G: 0.022310 Loss_D_real: -0.018746 Loss_D_fake 0.005993
[510/5000][515/535][52457] Loss_D: -0.026766 Loss_G: 0.030944 Loss_D_real: -0.017603 Loss_D_fake 0.009163
[510/5000][520/535][52458] Loss_D: -0.027091 Loss_G: -0.000883 Loss_D_real: -0.012559 Loss_D_fake 0.014533
[510/5000][525/535][52459] Loss_D: -0.025877 Loss_G: 0.028996 Loss_D_real: -0.021687 Loss_D_fake 0.004190
[510/5000][530/535][52460] Loss_D: -0.026362 Loss_G: 0.006497 Loss_D_real: -0.013675 Loss_D_fake 0.012687
[510/5000][535/535][52461] Loss_D: -0.024360 Loss_G: 0.009906 Loss_D_real: -0.031981 Loss_D_fake -0.007621
[511/5000][5/535][52462] Loss_D: -0.025680 Loss_G: 0.001245 Loss_D_real: -0.003658 Loss_D_fake 0.022022
[511/5000][10/535][52463] Loss_D: -0.025735 Loss_G: 0.013807 Loss_D_real: -0.029361 Loss_D_fake -0.003626
[511/5000][15/535][52464] Loss_D: -0.027670 Loss_G: 0.009919 Loss_D_real: -0.013884 Loss_D_fake 0.013786
[511/5000][20/535][52465] Loss_D: -0.026848 Loss_G: 0.014810 Loss_D_real: -0.013947 Loss_D_fake 0.012901
[511/5000][25/535][52466] Loss_D: -0.025845 Loss_G: 0.034199 Loss_D_real: -0.029070 Loss_D_fake -0.003225
[511/5000][30/535][52467] Loss_D: -0.027527 Loss_G: 0.012410 Loss_D_real: -0.011825 Loss_D_fake 0.015703
[511/5000][35/535][52468] Loss_D: -0.025167 Loss_G: 0.029800 Loss_D_real: -0.027439 Loss_D_fake -0.002272
[511/5000][40/535][52469] Loss_D: -0.026397 Loss_G: 0.022705 Loss_D_real: -0.028015 Loss_D_fake -0.001618
[511/5000][45/535][52470] Loss_D: -0.025545 Loss_G: -0.006090 Loss_D_real: -0.007656 Loss_D_fake 0.017889
[511/5000][50/535][52471] Loss_D: -0.027365 Loss_G: 0.007585 Loss_D_real: -0.006825 Loss_D_fake 0.020540
[511/5000][55/535][52472] Loss_D: -0.025848 Loss_G: 0.016120 Loss_D_real: -0.021380 Loss_D_fake 0.004468
[511/5000][60/535][52473] Loss_D: -0.027466 Loss_G: 0.031859 Loss_D_real: -0.030396 Loss_D_fake -0.002929
[511/5000][65/535][52474] Loss_D: -0.025938 Loss_G: 0.005407 Loss_D_real: -0.002813 Loss_D_fake 0.023125
[511/5000][70/535][52475] Loss_D: -0.027201 Loss_G: 0.026159 Loss_D_real: -0.021231 Loss_D_fake 0.005970
[511/5000][75/535][52476] Loss_D: -0.027039 Loss_G: 0.014741 Loss_D_real: -0.010062 Loss_D_fake 0.016976
[511/5000][80/535][52477] Loss_D: -0.024553 Loss_G: 0.030438 Loss_D_real: -0.035550 Loss_D_fake -0.010997
[511/5000][85/535][52478] Loss_D: -0.026705 Loss_G: 0.001120 Loss_D_real: -0.012829 Loss_D_fake 0.013876
[511/5000][90/535][52479] Loss_D: -0.027293 Loss_G: 0.018763 Loss_D_real: -0.023793 Loss_D_fake 0.003500
[511/5000][95/535][52480] Loss_D: -0.025029 Loss_G: 0.040892 Loss_D_real: -0.035698 Loss_D_fake -0.010669
[511/5000][100/535][52481] Loss_D: -0.026676 Loss_G: 0.002815 Loss_D_real: -0.006328 Loss_D_fake 0.020348
[511/5000][105/535][52482] Loss_D: -0.026495 Loss_G: 0.029181 Loss_D_real: -0.032900 Loss_D_fake -0.006405
[511/5000][110/535][52483] Loss_D: -0.027543 Loss_G: -0.001900 Loss_D_real: -0.001290 Loss_D_fake 0.026254
[511/5000][115/535][52484] Loss_D: -0.027245 Loss_G: 0.008724 Loss_D_real: -0.012525 Loss_D_fake 0.014720
[511/5000][120/535][52485] Loss_D: -0.026519 Loss_G: 0.029302 Loss_D_real: -0.025403 Loss_D_fake 0.001116
[511/5000][125/535][52486] Loss_D: -0.026879 Loss_G: -0.013519 Loss_D_real: -0.007289 Loss_D_fake 0.019591
[511/5000][130/535][52487] Loss_D: -0.026463 Loss_G: -0.003689 Loss_D_real: -0.013186 Loss_D_fake 0.013277
[511/5000][135/535][52488] Loss_D: -0.026406 Loss_G: 0.021841 Loss_D_real: -0.024118 Loss_D_fake 0.002287
[511/5000][140/535][52489] Loss_D: -0.026656 Loss_G: 0.022427 Loss_D_real: -0.022491 Loss_D_fake 0.004165
[511/5000][145/535][52490] Loss_D: -0.026635 Loss_G: 0.013285 Loss_D_real: -0.016815 Loss_D_fake 0.009820
[511/5000][150/535][52491] Loss_D: -0.026843 Loss_G: 0.019037 Loss_D_real: -0.022028 Loss_D_fake 0.004815
[511/5000][155/535][52492] Loss_D: -0.027050 Loss_G: 0.026007 Loss_D_real: -0.020143 Loss_D_fake 0.006907
[511/5000][160/535][52493] Loss_D: -0.026529 Loss_G: 0.028073 Loss_D_real: -0.027579 Loss_D_fake -0.001050
[511/5000][165/535][52494] Loss_D: -0.027137 Loss_G: 0.001811 Loss_D_real: -0.007455 Loss_D_fake 0.019682
[511/5000][170/535][52495] Loss_D: -0.026050 Loss_G: 0.020428 Loss_D_real: -0.027605 Loss_D_fake -0.001554
[511/5000][175/535][52496] Loss_D: -0.027022 Loss_G: 0.000760 Loss_D_real: -0.000240 Loss_D_fake 0.026782
[511/5000][180/535][52497] Loss_D: -0.024940 Loss_G: 0.033055 Loss_D_real: -0.037979 Loss_D_fake -0.013039
[511/5000][185/535][52498] Loss_D: -0.025631 Loss_G: -0.005910 Loss_D_real: -0.002017 Loss_D_fake 0.023614
[511/5000][190/535][52499] Loss_D: -0.026740 Loss_G: 0.007552 Loss_D_real: -0.021242 Loss_D_fake 0.005498
[511/5000][195/535][52500] Loss_D: -0.025665 Loss_G: 0.002900 Loss_D_real: -0.008696 Loss_D_fake 0.016970
[511/5000][295/535][52501] Loss_D: -0.031287 Loss_G: 0.012353 Loss_D_real: -0.010476 Loss_D_fake 0.020811
[511/5000][300/535][52502] Loss_D: -0.026645 Loss_G: 0.018401 Loss_D_real: -0.020914 Loss_D_fake 0.005731
[511/5000][305/535][52503] Loss_D: -0.025974 Loss_G: 0.021633 Loss_D_real: -0.018252 Loss_D_fake 0.007721
[511/5000][310/535][52504] Loss_D: -0.023020 Loss_G: -0.014302 Loss_D_real: -0.001396 Loss_D_fake 0.021624
[511/5000][315/535][52505] Loss_D: -0.022981 Loss_G: 0.013625 Loss_D_real: -0.018915 Loss_D_fake 0.004066
[511/5000][320/535][52506] Loss_D: -0.025314 Loss_G: 0.009616 Loss_D_real: -0.006227 Loss_D_fake 0.019087
[511/5000][325/535][52507] Loss_D: -0.024878 Loss_G: 0.004006 Loss_D_real: -0.018485 Loss_D_fake 0.006393
[511/5000][330/535][52508] Loss_D: -0.025040 Loss_G: -0.004579 Loss_D_real: -0.015484 Loss_D_fake 0.009556
[511/5000][335/535][52509] Loss_D: -0.025647 Loss_G: 0.024783 Loss_D_real: -0.020834 Loss_D_fake 0.004813
[511/5000][340/535][52510] Loss_D: -0.026254 Loss_G: -0.004906 Loss_D_real: -0.000246 Loss_D_fake 0.026008
[511/5000][345/535][52511] Loss_D: -0.025666 Loss_G: -0.008863 Loss_D_real: -0.023674 Loss_D_fake 0.001992
[511/5000][350/535][52512] Loss_D: -0.025169 Loss_G: 0.015540 Loss_D_real: -0.025041 Loss_D_fake 0.000128
[511/5000][355/535][52513] Loss_D: -0.025980 Loss_G: 0.008277 Loss_D_real: -0.014866 Loss_D_fake 0.011114
[511/5000][360/535][52514] Loss_D: -0.026614 Loss_G: 0.020767 Loss_D_real: -0.025780 Loss_D_fake 0.000833
[511/5000][365/535][52515] Loss_D: -0.026556 Loss_G: 0.029667 Loss_D_real: -0.018782 Loss_D_fake 0.007774
[511/5000][370/535][52516] Loss_D: -0.025510 Loss_G: -0.005866 Loss_D_real: -0.007633 Loss_D_fake 0.017877
[511/5000][375/535][52517] Loss_D: -0.026204 Loss_G: 0.030913 Loss_D_real: -0.031631 Loss_D_fake -0.005427
[511/5000][380/535][52518] Loss_D: -0.026469 Loss_G: 0.003694 Loss_D_real: -0.022773 Loss_D_fake 0.003696
[511/5000][385/535][52519] Loss_D: -0.025757 Loss_G: 0.012999 Loss_D_real: -0.012759 Loss_D_fake 0.012998
[511/5000][390/535][52520] Loss_D: -0.025553 Loss_G: 0.011937 Loss_D_real: -0.015418 Loss_D_fake 0.010135
[511/5000][395/535][52521] Loss_D: -0.027300 Loss_G: -0.000363 Loss_D_real: -0.013494 Loss_D_fake 0.013806
[511/5000][400/535][52522] Loss_D: -0.023345 Loss_G: 0.041363 Loss_D_real: -0.040203 Loss_D_fake -0.016858
[511/5000][405/535][52523] Loss_D: -0.026565 Loss_G: 0.009109 Loss_D_real: -0.013095 Loss_D_fake 0.013470
[511/5000][410/535][52524] Loss_D: -0.026783 Loss_G: 0.002640 Loss_D_real: -0.015304 Loss_D_fake 0.011479
[511/5000][415/535][52525] Loss_D: -0.024788 Loss_G: 0.032778 Loss_D_real: -0.029540 Loss_D_fake -0.004752
[511/5000][420/535][52526] Loss_D: -0.027497 Loss_G: 0.028257 Loss_D_real: -0.020868 Loss_D_fake 0.006629
[511/5000][425/535][52527] Loss_D: -0.025462 Loss_G: 0.029837 Loss_D_real: -0.022411 Loss_D_fake 0.003051
[511/5000][430/535][52528] Loss_D: -0.025565 Loss_G: 0.022967 Loss_D_real: -0.029258 Loss_D_fake -0.003692
[511/5000][435/535][52529] Loss_D: -0.027689 Loss_G: 0.010705 Loss_D_real: -0.015081 Loss_D_fake 0.012608
[511/5000][440/535][52530] Loss_D: -0.027226 Loss_G: 0.022059 Loss_D_real: -0.030757 Loss_D_fake -0.003531
[511/5000][445/535][52531] Loss_D: -0.027764 Loss_G: 0.017924 Loss_D_real: -0.014583 Loss_D_fake 0.013181
[511/5000][450/535][52532] Loss_D: -0.026116 Loss_G: 0.021166 Loss_D_real: -0.025829 Loss_D_fake 0.000287
[511/5000][455/535][52533] Loss_D: -0.027082 Loss_G: 0.023531 Loss_D_real: -0.026964 Loss_D_fake 0.000118
[511/5000][460/535][52534] Loss_D: -0.026758 Loss_G: 0.015729 Loss_D_real: -0.019188 Loss_D_fake 0.007570
[511/5000][465/535][52535] Loss_D: -0.027280 Loss_G: -0.004766 Loss_D_real: -0.002136 Loss_D_fake 0.025143
[511/5000][470/535][52536] Loss_D: -0.027763 Loss_G: 0.003687 Loss_D_real: -0.017006 Loss_D_fake 0.010758
[511/5000][475/535][52537] Loss_D: -0.026128 Loss_G: -0.001306 Loss_D_real: 0.000925 Loss_D_fake 0.027053
[511/5000][480/535][52538] Loss_D: -0.026192 Loss_G: 0.016993 Loss_D_real: -0.031518 Loss_D_fake -0.005326
[511/5000][485/535][52539] Loss_D: -0.026698 Loss_G: 0.008520 Loss_D_real: -0.021158 Loss_D_fake 0.005540
[511/5000][490/535][52540] Loss_D: -0.026245 Loss_G: 0.025111 Loss_D_real: -0.019152 Loss_D_fake 0.007092
[511/5000][495/535][52541] Loss_D: -0.026785 Loss_G: 0.019469 Loss_D_real: -0.021680 Loss_D_fake 0.005105
[511/5000][500/535][52542] Loss_D: -0.025868 Loss_G: -0.005388 Loss_D_real: -0.005790 Loss_D_fake 0.020078
[511/5000][505/535][52543] Loss_D: -0.025930 Loss_G: 0.026887 Loss_D_real: -0.026426 Loss_D_fake -0.000496
[511/5000][510/535][52544] Loss_D: -0.025294 Loss_G: -0.014803 Loss_D_real: 0.001062 Loss_D_fake 0.026356
[511/5000][515/535][52545] Loss_D: -0.025224 Loss_G: 0.007554 Loss_D_real: -0.018062 Loss_D_fake 0.007162
[511/5000][520/535][52546] Loss_D: -0.027684 Loss_G: 0.014843 Loss_D_real: -0.010631 Loss_D_fake 0.017053
[511/5000][525/535][52547] Loss_D: -0.027468 Loss_G: 0.015928 Loss_D_real: -0.014746 Loss_D_fake 0.012722
[511/5000][530/535][52548] Loss_D: -0.028037 Loss_G: 0.010041 Loss_D_real: -0.016517 Loss_D_fake 0.011520
[511/5000][535/535][52549] Loss_D: -0.025993 Loss_G: 0.058194 Loss_D_real: -0.016061 Loss_D_fake 0.009932
[512/5000][5/535][52550] Loss_D: -0.023801 Loss_G: -0.003583 Loss_D_real: -0.007671 Loss_D_fake 0.016129
[512/5000][10/535][52551] Loss_D: -0.025740 Loss_G: 0.021711 Loss_D_real: -0.023952 Loss_D_fake 0.001788
[512/5000][15/535][52552] Loss_D: -0.025194 Loss_G: 0.031942 Loss_D_real: -0.034403 Loss_D_fake -0.009209
[512/5000][20/535][52553] Loss_D: -0.026443 Loss_G: 0.017889 Loss_D_real: -0.023649 Loss_D_fake 0.002795
[512/5000][25/535][52554] Loss_D: -0.024745 Loss_G: 0.020515 Loss_D_real: -0.026851 Loss_D_fake -0.002106
[512/5000][30/535][52555] Loss_D: -0.026413 Loss_G: 0.021413 Loss_D_real: -0.016999 Loss_D_fake 0.009414
[512/5000][35/535][52556] Loss_D: -0.027158 Loss_G: -0.008359 Loss_D_real: -0.004691 Loss_D_fake 0.022468
[512/5000][40/535][52557] Loss_D: -0.025379 Loss_G: 0.028539 Loss_D_real: -0.022732 Loss_D_fake 0.002647
[512/5000][45/535][52558] Loss_D: -0.026750 Loss_G: -0.002956 Loss_D_real: -0.008357 Loss_D_fake 0.018394
[512/5000][50/535][52559] Loss_D: -0.025907 Loss_G: 0.026567 Loss_D_real: -0.023453 Loss_D_fake 0.002454
[512/5000][55/535][52560] Loss_D: -0.026696 Loss_G: -0.008735 Loss_D_real: -0.002172 Loss_D_fake 0.024524
[512/5000][60/535][52561] Loss_D: -0.025451 Loss_G: -0.004805 Loss_D_real: -0.007086 Loss_D_fake 0.018365
[512/5000][65/535][52562] Loss_D: -0.025590 Loss_G: 0.029214 Loss_D_real: -0.028813 Loss_D_fake -0.003223
[512/5000][70/535][52563] Loss_D: -0.026641 Loss_G: 0.024344 Loss_D_real: -0.028890 Loss_D_fake -0.002249
[512/5000][75/535][52564] Loss_D: -0.025711 Loss_G: 0.037456 Loss_D_real: -0.034255 Loss_D_fake -0.008543
[512/5000][80/535][52565] Loss_D: -0.026600 Loss_G: 0.017946 Loss_D_real: -0.015209 Loss_D_fake 0.011391
[512/5000][85/535][52566] Loss_D: -0.025114 Loss_G: -0.003951 Loss_D_real: -0.004581 Loss_D_fake 0.020533
[512/5000][90/535][52567] Loss_D: -0.025386 Loss_G: 0.026874 Loss_D_real: -0.018202 Loss_D_fake 0.007184
[512/5000][95/535][52568] Loss_D: -0.024632 Loss_G: -0.006387 Loss_D_real: -0.008369 Loss_D_fake 0.016263
[512/5000][100/535][52569] Loss_D: -0.025279 Loss_G: 0.025657 Loss_D_real: -0.026790 Loss_D_fake -0.001511
[512/5000][105/535][52570] Loss_D: -0.023987 Loss_G: 0.026551 Loss_D_real: -0.039362 Loss_D_fake -0.015375
[512/5000][110/535][52571] Loss_D: -0.025102 Loss_G: 0.024526 Loss_D_real: -0.017623 Loss_D_fake 0.007479
[512/5000][115/535][52572] Loss_D: -0.026696 Loss_G: 0.007512 Loss_D_real: -0.011695 Loss_D_fake 0.015001
[512/5000][120/535][52573] Loss_D: -0.027372 Loss_G: -0.003681 Loss_D_real: -0.010438 Loss_D_fake 0.016934
[512/5000][125/535][52574] Loss_D: -0.026585 Loss_G: 0.004681 Loss_D_real: -0.007284 Loss_D_fake 0.019301
[512/5000][130/535][52575] Loss_D: -0.026166 Loss_G: 0.024911 Loss_D_real: -0.021323 Loss_D_fake 0.004843
[512/5000][135/535][52576] Loss_D: -0.026237 Loss_G: 0.014128 Loss_D_real: -0.019801 Loss_D_fake 0.006436
[512/5000][140/535][52577] Loss_D: -0.026250 Loss_G: 0.015701 Loss_D_real: -0.026725 Loss_D_fake -0.000475
[512/5000][145/535][52578] Loss_D: -0.025709 Loss_G: 0.015966 Loss_D_real: -0.025815 Loss_D_fake -0.000107
[512/5000][150/535][52579] Loss_D: -0.028087 Loss_G: 0.009240 Loss_D_real: -0.022611 Loss_D_fake 0.005477
[512/5000][155/535][52580] Loss_D: -0.026286 Loss_G: 0.000864 Loss_D_real: -0.009452 Loss_D_fake 0.016834
[512/5000][160/535][52581] Loss_D: -0.024130 Loss_G: 0.042425 Loss_D_real: -0.034419 Loss_D_fake -0.010289
[512/5000][165/535][52582] Loss_D: -0.023933 Loss_G: 0.000577 Loss_D_real: 0.000025 Loss_D_fake 0.023958
[512/5000][170/535][52583] Loss_D: -0.027300 Loss_G: 0.026203 Loss_D_real: -0.019043 Loss_D_fake 0.008256
[512/5000][175/535][52584] Loss_D: -0.025508 Loss_G: -0.007369 Loss_D_real: -0.004929 Loss_D_fake 0.020579
[512/5000][180/535][52585] Loss_D: -0.026343 Loss_G: 0.004777 Loss_D_real: -0.003151 Loss_D_fake 0.023192
[512/5000][185/535][52586] Loss_D: -0.026827 Loss_G: 0.014768 Loss_D_real: -0.025642 Loss_D_fake 0.001185
[512/5000][190/535][52587] Loss_D: -0.028275 Loss_G: 0.006117 Loss_D_real: -0.009110 Loss_D_fake 0.019165
[512/5000][195/535][52588] Loss_D: -0.026898 Loss_G: 0.035542 Loss_D_real: -0.030125 Loss_D_fake -0.003226
[512/5000][200/535][52589] Loss_D: -0.026651 Loss_G: -0.001003 Loss_D_real: -0.001574 Loss_D_fake 0.025078
[512/5000][205/535][52590] Loss_D: -0.024125 Loss_G: 0.024435 Loss_D_real: -0.028618 Loss_D_fake -0.004493
[512/5000][210/535][52591] Loss_D: -0.027428 Loss_G: 0.012959 Loss_D_real: -0.019372 Loss_D_fake 0.008055
[512/5000][215/535][52592] Loss_D: -0.027107 Loss_G: 0.008370 Loss_D_real: -0.015389 Loss_D_fake 0.011718
[512/5000][220/535][52593] Loss_D: -0.025832 Loss_G: 0.013111 Loss_D_real: -0.012098 Loss_D_fake 0.013735
[512/5000][225/535][52594] Loss_D: -0.025949 Loss_G: 0.001177 Loss_D_real: -0.002521 Loss_D_fake 0.023429
[512/5000][230/535][52595] Loss_D: -0.027460 Loss_G: 0.002183 Loss_D_real: -0.006938 Loss_D_fake 0.020523
[512/5000][235/535][52596] Loss_D: -0.025816 Loss_G: 0.028426 Loss_D_real: -0.033838 Loss_D_fake -0.008023
[512/5000][240/535][52597] Loss_D: -0.027118 Loss_G: -0.003212 Loss_D_real: -0.006370 Loss_D_fake 0.020749
[512/5000][245/535][52598] Loss_D: -0.026595 Loss_G: 0.007767 Loss_D_real: -0.016163 Loss_D_fake 0.010432
[512/5000][250/535][52599] Loss_D: -0.026000 Loss_G: 0.009421 Loss_D_real: -0.015290 Loss_D_fake 0.010710
[512/5000][255/535][52600] Loss_D: -0.026561 Loss_G: 0.014847 Loss_D_real: -0.012479 Loss_D_fake 0.014082
[512/5000][260/535][52601] Loss_D: -0.026529 Loss_G: 0.027974 Loss_D_real: -0.023135 Loss_D_fake 0.003394
[512/5000][265/535][52602] Loss_D: -0.026401 Loss_G: 0.019862 Loss_D_real: -0.026573 Loss_D_fake -0.000173
[512/5000][270/535][52603] Loss_D: -0.025111 Loss_G: 0.040256 Loss_D_real: -0.037597 Loss_D_fake -0.012486
[512/5000][275/535][52604] Loss_D: -0.026410 Loss_G: 0.001128 Loss_D_real: -0.013566 Loss_D_fake 0.012843
[512/5000][280/535][52605] Loss_D: -0.024778 Loss_G: 0.018441 Loss_D_real: -0.016820 Loss_D_fake 0.007959
[512/5000][285/535][52606] Loss_D: -0.026896 Loss_G: 0.033035 Loss_D_real: -0.031049 Loss_D_fake -0.004153
[512/5000][290/535][52607] Loss_D: -0.025952 Loss_G: 0.031878 Loss_D_real: -0.024349 Loss_D_fake 0.001603
[512/5000][295/535][52608] Loss_D: -0.025824 Loss_G: 0.029660 Loss_D_real: -0.024774 Loss_D_fake 0.001050
[512/5000][300/535][52609] Loss_D: -0.026488 Loss_G: 0.013172 Loss_D_real: -0.019747 Loss_D_fake 0.006740
[512/5000][305/535][52610] Loss_D: -0.025481 Loss_G: 0.025858 Loss_D_real: -0.031668 Loss_D_fake -0.006187
[512/5000][310/535][52611] Loss_D: -0.027010 Loss_G: 0.022871 Loss_D_real: -0.018657 Loss_D_fake 0.008352
[512/5000][315/535][52612] Loss_D: -0.025427 Loss_G: -0.010992 Loss_D_real: 0.007886 Loss_D_fake 0.033313
[512/5000][320/535][52613] Loss_D: -0.025313 Loss_G: 0.016557 Loss_D_real: -0.035682 Loss_D_fake -0.010369
[512/5000][325/535][52614] Loss_D: -0.026932 Loss_G: 0.022780 Loss_D_real: -0.024179 Loss_D_fake 0.002753
[512/5000][330/535][52615] Loss_D: -0.027065 Loss_G: -0.010564 Loss_D_real: -0.005384 Loss_D_fake 0.021681
[512/5000][335/535][52616] Loss_D: -0.026826 Loss_G: 0.023175 Loss_D_real: -0.028754 Loss_D_fake -0.001928
[512/5000][340/535][52617] Loss_D: -0.027486 Loss_G: 0.011306 Loss_D_real: -0.021012 Loss_D_fake 0.006474
[512/5000][345/535][52618] Loss_D: -0.027302 Loss_G: 0.002070 Loss_D_real: -0.010307 Loss_D_fake 0.016995
[512/5000][350/535][52619] Loss_D: -0.027882 Loss_G: 0.009938 Loss_D_real: -0.014375 Loss_D_fake 0.013507
[512/5000][355/535][52620] Loss_D: -0.025661 Loss_G: 0.002356 Loss_D_real: -0.008232 Loss_D_fake 0.017429
[512/5000][360/535][52621] Loss_D: -0.026660 Loss_G: 0.031626 Loss_D_real: -0.026904 Loss_D_fake -0.000244
[512/5000][365/535][52622] Loss_D: -0.026322 Loss_G: -0.002711 Loss_D_real: -0.004988 Loss_D_fake 0.021334
[512/5000][370/535][52623] Loss_D: -0.026785 Loss_G: 0.019858 Loss_D_real: -0.027122 Loss_D_fake -0.000337
[512/5000][375/535][52624] Loss_D: -0.027513 Loss_G: 0.005228 Loss_D_real: 0.001025 Loss_D_fake 0.028539
[512/5000][380/535][52625] Loss_D: -0.025209 Loss_G: 0.029116 Loss_D_real: -0.024441 Loss_D_fake 0.000768
[512/5000][385/535][52626] Loss_D: -0.025297 Loss_G: 0.031077 Loss_D_real: -0.028554 Loss_D_fake -0.003257
[512/5000][390/535][52627] Loss_D: -0.026909 Loss_G: 0.016386 Loss_D_real: -0.022214 Loss_D_fake 0.004696
[512/5000][395/535][52628] Loss_D: -0.026563 Loss_G: -0.003355 Loss_D_real: -0.006212 Loss_D_fake 0.020352
[512/5000][400/535][52629] Loss_D: -0.026256 Loss_G: 0.016220 Loss_D_real: -0.019937 Loss_D_fake 0.006319
[512/5000][405/535][52630] Loss_D: -0.023963 Loss_G: 0.032635 Loss_D_real: -0.032977 Loss_D_fake -0.009014
[512/5000][410/535][52631] Loss_D: -0.026665 Loss_G: 0.013194 Loss_D_real: -0.008706 Loss_D_fake 0.017959
[512/5000][415/535][52632] Loss_D: -0.026997 Loss_G: 0.022944 Loss_D_real: -0.018639 Loss_D_fake 0.008358
[512/5000][420/535][52633] Loss_D: -0.026313 Loss_G: 0.027151 Loss_D_real: -0.024753 Loss_D_fake 0.001560
[512/5000][425/535][52634] Loss_D: -0.027119 Loss_G: 0.007162 Loss_D_real: -0.024765 Loss_D_fake 0.002354
[512/5000][430/535][52635] Loss_D: -0.026754 Loss_G: 0.013387 Loss_D_real: -0.023687 Loss_D_fake 0.003066
[512/5000][435/535][52636] Loss_D: -0.024374 Loss_G: 0.030881 Loss_D_real: -0.029530 Loss_D_fake -0.005156
[512/5000][440/535][52637] Loss_D: -0.026772 Loss_G: -0.014651 Loss_D_real: -0.012600 Loss_D_fake 0.014172
[512/5000][445/535][52638] Loss_D: -0.025550 Loss_G: 0.015166 Loss_D_real: -0.017889 Loss_D_fake 0.007661
[512/5000][450/535][52639] Loss_D: -0.025759 Loss_G: 0.018297 Loss_D_real: -0.020333 Loss_D_fake 0.005426
[512/5000][455/535][52640] Loss_D: -0.025653 Loss_G: 0.012075 Loss_D_real: -0.018748 Loss_D_fake 0.006905
[512/5000][460/535][52641] Loss_D: -0.026664 Loss_G: 0.025234 Loss_D_real: -0.031692 Loss_D_fake -0.005028
[512/5000][465/535][52642] Loss_D: -0.027409 Loss_G: -0.007063 Loss_D_real: -0.016534 Loss_D_fake 0.010876
[512/5000][470/535][52643] Loss_D: -0.025862 Loss_G: 0.025977 Loss_D_real: -0.017263 Loss_D_fake 0.008600
[512/5000][475/535][52644] Loss_D: -0.027082 Loss_G: 0.020258 Loss_D_real: -0.025737 Loss_D_fake 0.001345
[512/5000][480/535][52645] Loss_D: -0.026121 Loss_G: -0.007257 Loss_D_real: -0.001267 Loss_D_fake 0.024854
[512/5000][485/535][52646] Loss_D: -0.023659 Loss_G: -0.026189 Loss_D_real: 0.004721 Loss_D_fake 0.028380
[512/5000][490/535][52647] Loss_D: -0.025513 Loss_G: 0.028070 Loss_D_real: -0.022835 Loss_D_fake 0.002678
[512/5000][495/535][52648] Loss_D: -0.026403 Loss_G: 0.013182 Loss_D_real: -0.006330 Loss_D_fake 0.020073
[512/5000][500/535][52649] Loss_D: -0.024626 Loss_G: 0.018143 Loss_D_real: -0.030985 Loss_D_fake -0.006359
[512/5000][505/535][52650] Loss_D: -0.026025 Loss_G: 0.011433 Loss_D_real: -0.019170 Loss_D_fake 0.006855
[512/5000][510/535][52651] Loss_D: -0.026358 Loss_G: 0.021252 Loss_D_real: -0.031295 Loss_D_fake -0.004937
[512/5000][515/535][52652] Loss_D: -0.025567 Loss_G: -0.010084 Loss_D_real: 0.000603 Loss_D_fake 0.026170
[512/5000][520/535][52653] Loss_D: -0.025922 Loss_G: 0.024638 Loss_D_real: -0.030009 Loss_D_fake -0.004088
[512/5000][525/535][52654] Loss_D: -0.024262 Loss_G: 0.021635 Loss_D_real: -0.022980 Loss_D_fake 0.001282
[512/5000][530/535][52655] Loss_D: -0.028894 Loss_G: 0.014143 Loss_D_real: -0.018826 Loss_D_fake 0.010067
[512/5000][535/535][52656] Loss_D: -0.024998 Loss_G: 0.027920 Loss_D_real: -0.028461 Loss_D_fake -0.003463
[513/5000][5/535][52657] Loss_D: -0.026442 Loss_G: -0.002754 Loss_D_real: -0.004062 Loss_D_fake 0.022380
[513/5000][10/535][52658] Loss_D: -0.027452 Loss_G: 0.018067 Loss_D_real: -0.014068 Loss_D_fake 0.013383
[513/5000][15/535][52659] Loss_D: -0.025885 Loss_G: -0.000889 Loss_D_real: -0.001052 Loss_D_fake 0.024834
[513/5000][20/535][52660] Loss_D: -0.026151 Loss_G: 0.011106 Loss_D_real: -0.015412 Loss_D_fake 0.010738
[513/5000][25/535][52661] Loss_D: -0.026898 Loss_G: 0.001750 Loss_D_real: -0.013405 Loss_D_fake 0.013493
[513/5000][30/535][52662] Loss_D: -0.026395 Loss_G: 0.029141 Loss_D_real: -0.032475 Loss_D_fake -0.006079
[513/5000][35/535][52663] Loss_D: -0.026098 Loss_G: 0.035296 Loss_D_real: -0.024434 Loss_D_fake 0.001663
[513/5000][40/535][52664] Loss_D: -0.026095 Loss_G: 0.003923 Loss_D_real: -0.012299 Loss_D_fake 0.013796
[513/5000][45/535][52665] Loss_D: -0.027661 Loss_G: 0.029941 Loss_D_real: -0.024184 Loss_D_fake 0.003476
[513/5000][50/535][52666] Loss_D: -0.026375 Loss_G: -0.001539 Loss_D_real: -0.008887 Loss_D_fake 0.017488
[513/5000][55/535][52667] Loss_D: -0.026059 Loss_G: 0.019313 Loss_D_real: -0.021919 Loss_D_fake 0.004140
[513/5000][60/535][52668] Loss_D: -0.026029 Loss_G: 0.000361 Loss_D_real: -0.003317 Loss_D_fake 0.022712
[513/5000][65/535][52669] Loss_D: -0.026025 Loss_G: 0.006543 Loss_D_real: -0.019467 Loss_D_fake 0.006558
[513/5000][70/535][52670] Loss_D: -0.026197 Loss_G: -0.002279 Loss_D_real: 0.002923 Loss_D_fake 0.029120
[513/5000][75/535][52671] Loss_D: -0.025866 Loss_G: 0.035314 Loss_D_real: -0.024547 Loss_D_fake 0.001318
[513/5000][80/535][52672] Loss_D: -0.026267 Loss_G: 0.018327 Loss_D_real: -0.023799 Loss_D_fake 0.002468
[513/5000][85/535][52673] Loss_D: -0.026428 Loss_G: 0.020255 Loss_D_real: -0.022874 Loss_D_fake 0.003554
[513/5000][90/535][52674] Loss_D: -0.024922 Loss_G: -0.003285 Loss_D_real: -0.004124 Loss_D_fake 0.020799
[513/5000][95/535][52675] Loss_D: -0.025413 Loss_G: -0.012169 Loss_D_real: -0.005218 Loss_D_fake 0.020195
[513/5000][100/535][52676] Loss_D: -0.024664 Loss_G: 0.027645 Loss_D_real: -0.034823 Loss_D_fake -0.010159
[513/5000][105/535][52677] Loss_D: -0.025706 Loss_G: -0.013303 Loss_D_real: -0.004894 Loss_D_fake 0.020812
[513/5000][110/535][52678] Loss_D: -0.024908 Loss_G: 0.021322 Loss_D_real: -0.024075 Loss_D_fake 0.000833
[513/5000][115/535][52679] Loss_D: -0.025661 Loss_G: 0.004870 Loss_D_real: 0.002356 Loss_D_fake 0.028017
[513/5000][120/535][52680] Loss_D: -0.026791 Loss_G: 0.015611 Loss_D_real: -0.008520 Loss_D_fake 0.018271
[513/5000][125/535][52681] Loss_D: -0.026638 Loss_G: 0.005407 Loss_D_real: -0.017211 Loss_D_fake 0.009427
[513/5000][130/535][52682] Loss_D: -0.026304 Loss_G: -0.004178 Loss_D_real: 0.003309 Loss_D_fake 0.029613
[513/5000][135/535][52683] Loss_D: -0.027231 Loss_G: 0.009115 Loss_D_real: -0.011284 Loss_D_fake 0.015948
[513/5000][140/535][52684] Loss_D: -0.027921 Loss_G: 0.019319 Loss_D_real: -0.018006 Loss_D_fake 0.009915
[513/5000][145/535][52685] Loss_D: -0.027213 Loss_G: 0.017029 Loss_D_real: -0.022227 Loss_D_fake 0.004986
[513/5000][150/535][52686] Loss_D: -0.026840 Loss_G: 0.020415 Loss_D_real: -0.020812 Loss_D_fake 0.006028
[513/5000][155/535][52687] Loss_D: -0.027726 Loss_G: 0.012663 Loss_D_real: -0.012312 Loss_D_fake 0.015414
[513/5000][160/535][52688] Loss_D: -0.026603 Loss_G: 0.017005 Loss_D_real: -0.014312 Loss_D_fake 0.012291
[513/5000][165/535][52689] Loss_D: -0.027311 Loss_G: 0.034068 Loss_D_real: -0.029938 Loss_D_fake -0.002627
[513/5000][170/535][52690] Loss_D: -0.025985 Loss_G: 0.001090 Loss_D_real: -0.009619 Loss_D_fake 0.016366
[513/5000][175/535][52691] Loss_D: -0.027243 Loss_G: 0.027908 Loss_D_real: -0.025335 Loss_D_fake 0.001908
[513/5000][180/535][52692] Loss_D: -0.026403 Loss_G: 0.004075 Loss_D_real: -0.016588 Loss_D_fake 0.009815
[513/5000][185/535][52693] Loss_D: -0.024307 Loss_G: 0.006394 Loss_D_real: -0.004085 Loss_D_fake 0.020222
[513/5000][190/535][52694] Loss_D: -0.026346 Loss_G: 0.009644 Loss_D_real: -0.010573 Loss_D_fake 0.015774
[513/5000][195/535][52695] Loss_D: -0.026576 Loss_G: 0.026375 Loss_D_real: -0.025596 Loss_D_fake 0.000981
[513/5000][200/535][52696] Loss_D: -0.026902 Loss_G: 0.001791 Loss_D_real: -0.016295 Loss_D_fake 0.010607
[513/5000][205/535][52697] Loss_D: -0.026345 Loss_G: 0.000945 Loss_D_real: -0.013470 Loss_D_fake 0.012875
[513/5000][210/535][52698] Loss_D: -0.025052 Loss_G: 0.015809 Loss_D_real: -0.034323 Loss_D_fake -0.009272
[513/5000][215/535][52699] Loss_D: -0.026445 Loss_G: 0.008128 Loss_D_real: -0.019380 Loss_D_fake 0.007065
[513/5000][220/535][52700] Loss_D: -0.025986 Loss_G: 0.008329 Loss_D_real: -0.020028 Loss_D_fake 0.005958
[513/5000][225/535][52701] Loss_D: -0.026895 Loss_G: 0.027091 Loss_D_real: -0.039581 Loss_D_fake -0.012685
[513/5000][230/535][52702] Loss_D: -0.026990 Loss_G: 0.019042 Loss_D_real: -0.019638 Loss_D_fake 0.007351
[513/5000][235/535][52703] Loss_D: -0.027250 Loss_G: 0.017048 Loss_D_real: -0.017641 Loss_D_fake 0.009609
[513/5000][240/535][52704] Loss_D: -0.026780 Loss_G: 0.007592 Loss_D_real: -0.020382 Loss_D_fake 0.006398
[513/5000][245/535][52705] Loss_D: -0.025523 Loss_G: 0.022979 Loss_D_real: -0.031195 Loss_D_fake -0.005672
[513/5000][250/535][52706] Loss_D: -0.024864 Loss_G: 0.026136 Loss_D_real: -0.027601 Loss_D_fake -0.002736
[513/5000][255/535][52707] Loss_D: -0.026209 Loss_G: 0.025400 Loss_D_real: -0.025638 Loss_D_fake 0.000571
[513/5000][260/535][52708] Loss_D: -0.025595 Loss_G: -0.013231 Loss_D_real: -0.001481 Loss_D_fake 0.024114
[513/5000][265/535][52709] Loss_D: -0.024987 Loss_G: 0.019411 Loss_D_real: -0.027558 Loss_D_fake -0.002571
[513/5000][270/535][52710] Loss_D: -0.026005 Loss_G: 0.017239 Loss_D_real: -0.021823 Loss_D_fake 0.004182
[513/5000][275/535][52711] Loss_D: -0.026729 Loss_G: -0.008979 Loss_D_real: -0.005483 Loss_D_fake 0.021246
[513/5000][280/535][52712] Loss_D: -0.026046 Loss_G: 0.028250 Loss_D_real: -0.021751 Loss_D_fake 0.004295
[513/5000][285/535][52713] Loss_D: -0.025577 Loss_G: -0.012781 Loss_D_real: -0.003402 Loss_D_fake 0.022175
[513/5000][290/535][52714] Loss_D: -0.026310 Loss_G: 0.013397 Loss_D_real: -0.018993 Loss_D_fake 0.007316
[513/5000][295/535][52715] Loss_D: -0.024879 Loss_G: 0.011591 Loss_D_real: -0.004706 Loss_D_fake 0.020172
[513/5000][300/535][52716] Loss_D: -0.027074 Loss_G: 0.023685 Loss_D_real: -0.019592 Loss_D_fake 0.007482
[513/5000][305/535][52717] Loss_D: -0.026022 Loss_G: 0.025288 Loss_D_real: -0.030806 Loss_D_fake -0.004784
[513/5000][310/535][52718] Loss_D: -0.026348 Loss_G: 0.028774 Loss_D_real: -0.023493 Loss_D_fake 0.002855
[513/5000][315/535][52719] Loss_D: -0.026993 Loss_G: 0.020006 Loss_D_real: -0.025886 Loss_D_fake 0.001107
[513/5000][320/535][52720] Loss_D: -0.025878 Loss_G: 0.015981 Loss_D_real: -0.010908 Loss_D_fake 0.014970
[513/5000][325/535][52721] Loss_D: -0.024960 Loss_G: 0.033508 Loss_D_real: -0.029960 Loss_D_fake -0.005000
[513/5000][330/535][52722] Loss_D: -0.026755 Loss_G: 0.017749 Loss_D_real: -0.010462 Loss_D_fake 0.016292
[513/5000][335/535][52723] Loss_D: -0.025820 Loss_G: 0.020031 Loss_D_real: -0.027920 Loss_D_fake -0.002100
[513/5000][340/535][52724] Loss_D: -0.026842 Loss_G: 0.010250 Loss_D_real: -0.019649 Loss_D_fake 0.007194
[513/5000][345/535][52725] Loss_D: -0.026995 Loss_G: 0.003965 Loss_D_real: -0.013655 Loss_D_fake 0.013340
[513/5000][350/535][52726] Loss_D: -0.027359 Loss_G: 0.015602 Loss_D_real: -0.020440 Loss_D_fake 0.006919
[513/5000][355/535][52727] Loss_D: -0.026238 Loss_G: 0.031542 Loss_D_real: -0.025517 Loss_D_fake 0.000721
[513/5000][360/535][52728] Loss_D: -0.025719 Loss_G: 0.017027 Loss_D_real: -0.020082 Loss_D_fake 0.005637
[513/5000][365/535][52729] Loss_D: -0.026414 Loss_G: 0.004689 Loss_D_real: -0.007419 Loss_D_fake 0.018995
[513/5000][370/535][52730] Loss_D: -0.026416 Loss_G: 0.013429 Loss_D_real: -0.021001 Loss_D_fake 0.005416
[513/5000][375/535][52731] Loss_D: -0.026596 Loss_G: 0.019089 Loss_D_real: -0.023726 Loss_D_fake 0.002871
[513/5000][380/535][52732] Loss_D: -0.026407 Loss_G: 0.011091 Loss_D_real: -0.013844 Loss_D_fake 0.012563
[513/5000][385/535][52733] Loss_D: -0.026596 Loss_G: 0.013250 Loss_D_real: -0.015806 Loss_D_fake 0.010790
[513/5000][390/535][52734] Loss_D: -0.025545 Loss_G: 0.035289 Loss_D_real: -0.022386 Loss_D_fake 0.003160
[513/5000][395/535][52735] Loss_D: -0.026784 Loss_G: 0.028861 Loss_D_real: -0.034142 Loss_D_fake -0.007358
[513/5000][400/535][52736] Loss_D: -0.026242 Loss_G: 0.030031 Loss_D_real: -0.027015 Loss_D_fake -0.000772
[513/5000][405/535][52737] Loss_D: -0.026063 Loss_G: -0.010342 Loss_D_real: -0.003778 Loss_D_fake 0.022285
[513/5000][410/535][52738] Loss_D: -0.025602 Loss_G: 0.026559 Loss_D_real: -0.023658 Loss_D_fake 0.001944
[513/5000][415/535][52739] Loss_D: -0.026024 Loss_G: 0.019897 Loss_D_real: -0.019732 Loss_D_fake 0.006292
[513/5000][420/535][52740] Loss_D: -0.026974 Loss_G: 0.012859 Loss_D_real: -0.023850 Loss_D_fake 0.003125
[513/5000][425/535][52741] Loss_D: -0.027349 Loss_G: 0.016537 Loss_D_real: -0.019237 Loss_D_fake 0.008112
[513/5000][430/535][52742] Loss_D: -0.026603 Loss_G: 0.007524 Loss_D_real: -0.010137 Loss_D_fake 0.016467
[513/5000][435/535][52743] Loss_D: -0.027299 Loss_G: 0.003647 Loss_D_real: -0.003287 Loss_D_fake 0.024012
[513/5000][440/535][52744] Loss_D: -0.025628 Loss_G: 0.019698 Loss_D_real: -0.022882 Loss_D_fake 0.002745
[513/5000][445/535][52745] Loss_D: -0.025119 Loss_G: -0.004165 Loss_D_real: -0.008435 Loss_D_fake 0.016684
[513/5000][450/535][52746] Loss_D: -0.026551 Loss_G: 0.010045 Loss_D_real: -0.022419 Loss_D_fake 0.004132
[513/5000][455/535][52747] Loss_D: -0.025499 Loss_G: 0.036181 Loss_D_real: -0.041856 Loss_D_fake -0.016357
[513/5000][460/535][52748] Loss_D: -0.026381 Loss_G: -0.003925 Loss_D_real: 0.001026 Loss_D_fake 0.027407
[513/5000][465/535][52749] Loss_D: -0.026027 Loss_G: 0.023305 Loss_D_real: -0.024833 Loss_D_fake 0.001194
[513/5000][470/535][52750] Loss_D: -0.026370 Loss_G: 0.030162 Loss_D_real: -0.018375 Loss_D_fake 0.007995
[513/5000][475/535][52751] Loss_D: -0.025787 Loss_G: 0.024954 Loss_D_real: -0.038303 Loss_D_fake -0.012515
[513/5000][480/535][52752] Loss_D: -0.025765 Loss_G: 0.006999 Loss_D_real: -0.004518 Loss_D_fake 0.021247
[513/5000][485/535][52753] Loss_D: -0.027049 Loss_G: 0.005470 Loss_D_real: -0.016874 Loss_D_fake 0.010175
[513/5000][490/535][52754] Loss_D: -0.026585 Loss_G: 0.025751 Loss_D_real: -0.023664 Loss_D_fake 0.002920
[513/5000][495/535][52755] Loss_D: -0.026088 Loss_G: -0.007380 Loss_D_real: -0.015350 Loss_D_fake 0.010738
[513/5000][500/535][52756] Loss_D: -0.025199 Loss_G: 0.026794 Loss_D_real: -0.031514 Loss_D_fake -0.006315
[513/5000][505/535][52757] Loss_D: -0.025148 Loss_G: 0.002140 Loss_D_real: -0.000077 Loss_D_fake 0.025070
[513/5000][510/535][52758] Loss_D: -0.027121 Loss_G: 0.013299 Loss_D_real: -0.017054 Loss_D_fake 0.010067
[513/5000][515/535][52759] Loss_D: -0.026365 Loss_G: -0.001450 Loss_D_real: -0.005030 Loss_D_fake 0.021335
[513/5000][520/535][52760] Loss_D: -0.025827 Loss_G: 0.022880 Loss_D_real: -0.025005 Loss_D_fake 0.000821
[513/5000][525/535][52761] Loss_D: -0.025693 Loss_G: 0.021200 Loss_D_real: -0.029928 Loss_D_fake -0.004236
[513/5000][530/535][52762] Loss_D: -0.024469 Loss_G: 0.036016 Loss_D_real: -0.031325 Loss_D_fake -0.006856
[513/5000][535/535][52763] Loss_D: -0.025741 Loss_G: -0.022477 Loss_D_real: -0.013668 Loss_D_fake 0.012073
[514/5000][5/535][52764] Loss_D: -0.025078 Loss_G: 0.018203 Loss_D_real: -0.024310 Loss_D_fake 0.000768
[514/5000][10/535][52765] Loss_D: -0.026150 Loss_G: 0.022701 Loss_D_real: -0.024068 Loss_D_fake 0.002082
[514/5000][15/535][52766] Loss_D: -0.027377 Loss_G: 0.002463 Loss_D_real: -0.021142 Loss_D_fake 0.006236
[514/5000][20/535][52767] Loss_D: -0.025196 Loss_G: 0.006502 Loss_D_real: -0.014821 Loss_D_fake 0.010375
[514/5000][25/535][52768] Loss_D: -0.026592 Loss_G: 0.020254 Loss_D_real: -0.019710 Loss_D_fake 0.006882
[514/5000][30/535][52769] Loss_D: -0.027240 Loss_G: 0.006804 Loss_D_real: -0.009750 Loss_D_fake 0.017490
[514/5000][35/535][52770] Loss_D: -0.026351 Loss_G: 0.017762 Loss_D_real: -0.017348 Loss_D_fake 0.009002
[514/5000][40/535][52771] Loss_D: -0.025281 Loss_G: 0.020193 Loss_D_real: -0.012889 Loss_D_fake 0.012392
[514/5000][45/535][52772] Loss_D: -0.027838 Loss_G: 0.012734 Loss_D_real: -0.016219 Loss_D_fake 0.011619
[514/5000][50/535][52773] Loss_D: -0.027433 Loss_G: 0.023858 Loss_D_real: -0.016008 Loss_D_fake 0.011425
[514/5000][55/535][52774] Loss_D: -0.027520 Loss_G: 0.006077 Loss_D_real: -0.009990 Loss_D_fake 0.017530
[514/5000][60/535][52775] Loss_D: -0.027054 Loss_G: 0.033777 Loss_D_real: -0.031205 Loss_D_fake -0.004152
[514/5000][65/535][52776] Loss_D: -0.026837 Loss_G: 0.033850 Loss_D_real: -0.029554 Loss_D_fake -0.002717
[514/5000][70/535][52777] Loss_D: -0.026226 Loss_G: 0.029155 Loss_D_real: -0.032400 Loss_D_fake -0.006174
[514/5000][75/535][52778] Loss_D: -0.023827 Loss_G: -0.019122 Loss_D_real: 0.011884 Loss_D_fake 0.035711
[514/5000][80/535][52779] Loss_D: -0.025312 Loss_G: 0.003074 Loss_D_real: -0.012583 Loss_D_fake 0.012729
[514/5000][85/535][52780] Loss_D: -0.025082 Loss_G: 0.027596 Loss_D_real: -0.024672 Loss_D_fake 0.000409
[514/5000][90/535][52781] Loss_D: -0.024984 Loss_G: 0.006211 Loss_D_real: -0.010982 Loss_D_fake 0.014002
[514/5000][95/535][52782] Loss_D: -0.026235 Loss_G: 0.012071 Loss_D_real: -0.006902 Loss_D_fake 0.019333
[514/5000][100/535][52783] Loss_D: -0.026163 Loss_G: 0.027108 Loss_D_real: -0.021980 Loss_D_fake 0.004183
[514/5000][105/535][52784] Loss_D: -0.025384 Loss_G: 0.034270 Loss_D_real: -0.034882 Loss_D_fake -0.009499
[514/5000][110/535][52785] Loss_D: -0.025866 Loss_G: 0.001627 Loss_D_real: -0.002088 Loss_D_fake 0.023779
[514/5000][115/535][52786] Loss_D: -0.026868 Loss_G: 0.007040 Loss_D_real: -0.011276 Loss_D_fake 0.015592
[514/5000][120/535][52787] Loss_D: -0.027789 Loss_G: 0.014983 Loss_D_real: -0.021301 Loss_D_fake 0.006488
[514/5000][125/535][52788] Loss_D: -0.028271 Loss_G: 0.008739 Loss_D_real: -0.010182 Loss_D_fake 0.018089
[514/5000][130/535][52789] Loss_D: -0.027003 Loss_G: 0.025312 Loss_D_real: -0.024348 Loss_D_fake 0.002655
[514/5000][135/535][52790] Loss_D: -0.027081 Loss_G: 0.000175 Loss_D_real: -0.011030 Loss_D_fake 0.016051
[514/5000][140/535][52791] Loss_D: -0.024844 Loss_G: 0.015480 Loss_D_real: -0.020459 Loss_D_fake 0.004385
[514/5000][145/535][52792] Loss_D: -0.026041 Loss_G: 0.028027 Loss_D_real: -0.029879 Loss_D_fake -0.003837
[514/5000][150/535][52793] Loss_D: -0.027763 Loss_G: 0.011216 Loss_D_real: -0.016936 Loss_D_fake 0.010827
[514/5000][155/535][52794] Loss_D: -0.026022 Loss_G: 0.014004 Loss_D_real: -0.022307 Loss_D_fake 0.003714
[514/5000][160/535][52795] Loss_D: -0.026647 Loss_G: 0.019848 Loss_D_real: -0.015302 Loss_D_fake 0.011345
[514/5000][165/535][52796] Loss_D: -0.027962 Loss_G: 0.016949 Loss_D_real: -0.016819 Loss_D_fake 0.011143
[514/5000][170/535][52797] Loss_D: -0.025166 Loss_G: -0.009466 Loss_D_real: 0.005758 Loss_D_fake 0.030924
[514/5000][175/535][52798] Loss_D: -0.024766 Loss_G: 0.010038 Loss_D_real: -0.028880 Loss_D_fake -0.004114
[514/5000][180/535][52799] Loss_D: -0.026352 Loss_G: 0.016993 Loss_D_real: -0.013849 Loss_D_fake 0.012503
[514/5000][185/535][52800] Loss_D: -0.025572 Loss_G: -0.008830 Loss_D_real: 0.000853 Loss_D_fake 0.026425
[514/5000][190/535][52801] Loss_D: -0.025859 Loss_G: 0.026130 Loss_D_real: -0.024027 Loss_D_fake 0.001832
[514/5000][195/535][52802] Loss_D: -0.025670 Loss_G: 0.008523 Loss_D_real: -0.013340 Loss_D_fake 0.012330
[514/5000][200/535][52803] Loss_D: -0.026415 Loss_G: -0.005434 Loss_D_real: -0.006987 Loss_D_fake 0.019428
[514/5000][205/535][52804] Loss_D: -0.026645 Loss_G: 0.017179 Loss_D_real: -0.023534 Loss_D_fake 0.003111
[514/5000][210/535][52805] Loss_D: -0.025850 Loss_G: -0.020424 Loss_D_real: 0.001819 Loss_D_fake 0.027668
[514/5000][215/535][52806] Loss_D: -0.025940 Loss_G: 0.018443 Loss_D_real: -0.014089 Loss_D_fake 0.011852
[514/5000][220/535][52807] Loss_D: -0.026488 Loss_G: 0.007804 Loss_D_real: -0.002084 Loss_D_fake 0.024404
[514/5000][225/535][52808] Loss_D: -0.026892 Loss_G: 0.023591 Loss_D_real: -0.017620 Loss_D_fake 0.009272
[514/5000][230/535][52809] Loss_D: -0.026105 Loss_G: 0.027866 Loss_D_real: -0.025642 Loss_D_fake 0.000463
[514/5000][235/535][52810] Loss_D: -0.026456 Loss_G: 0.012767 Loss_D_real: -0.018800 Loss_D_fake 0.007657
[514/5000][240/535][52811] Loss_D: -0.025794 Loss_G: 0.017459 Loss_D_real: -0.014852 Loss_D_fake 0.010942
[514/5000][245/535][52812] Loss_D: -0.026255 Loss_G: 0.035338 Loss_D_real: -0.029487 Loss_D_fake -0.003232
[514/5000][250/535][52813] Loss_D: -0.027756 Loss_G: 0.007581 Loss_D_real: -0.008124 Loss_D_fake 0.019632
[514/5000][255/535][52814] Loss_D: -0.027648 Loss_G: 0.019497 Loss_D_real: -0.026359 Loss_D_fake 0.001289
[514/5000][260/535][52815] Loss_D: -0.026776 Loss_G: 0.029823 Loss_D_real: -0.035579 Loss_D_fake -0.008802
[514/5000][265/535][52816] Loss_D: -0.027231 Loss_G: 0.006034 Loss_D_real: -0.017941 Loss_D_fake 0.009290
[514/5000][270/535][52817] Loss_D: -0.026895 Loss_G: 0.011529 Loss_D_real: -0.008630 Loss_D_fake 0.018265
[514/5000][275/535][52818] Loss_D: -0.026590 Loss_G: 0.007825 Loss_D_real: -0.015311 Loss_D_fake 0.011279
[514/5000][280/535][52819] Loss_D: -0.024324 Loss_G: 0.026971 Loss_D_real: -0.029779 Loss_D_fake -0.005455
[514/5000][285/535][52820] Loss_D: -0.025080 Loss_G: -0.014062 Loss_D_real: -0.000148 Loss_D_fake 0.024932
[514/5000][290/535][52821] Loss_D: -0.023989 Loss_G: 0.035866 Loss_D_real: -0.033522 Loss_D_fake -0.009533
[514/5000][295/535][52822] Loss_D: -0.026265 Loss_G: 0.027722 Loss_D_real: -0.026383 Loss_D_fake -0.000118
[514/5000][300/535][52823] Loss_D: -0.026906 Loss_G: 0.028865 Loss_D_real: -0.022848 Loss_D_fake 0.004058
[514/5000][305/535][52824] Loss_D: -0.026799 Loss_G: 0.016938 Loss_D_real: -0.024704 Loss_D_fake 0.002094
[514/5000][310/535][52825] Loss_D: -0.026103 Loss_G: -0.012483 Loss_D_real: -0.006965 Loss_D_fake 0.019138
[514/5000][315/535][52826] Loss_D: -0.026968 Loss_G: 0.005478 Loss_D_real: -0.011117 Loss_D_fake 0.015850
[514/5000][320/535][52827] Loss_D: -0.024515 Loss_G: 0.036199 Loss_D_real: -0.036545 Loss_D_fake -0.012031
[514/5000][325/535][52828] Loss_D: -0.025976 Loss_G: -0.011175 Loss_D_real: -0.003951 Loss_D_fake 0.022024
[514/5000][330/535][52829] Loss_D: -0.025734 Loss_G: 0.022207 Loss_D_real: -0.023121 Loss_D_fake 0.002614
[514/5000][335/535][52830] Loss_D: -0.024571 Loss_G: 0.024474 Loss_D_real: -0.027407 Loss_D_fake -0.002836
[514/5000][340/535][52831] Loss_D: -0.025070 Loss_G: 0.026234 Loss_D_real: -0.024108 Loss_D_fake 0.000962
[514/5000][345/535][52832] Loss_D: -0.025778 Loss_G: 0.022873 Loss_D_real: -0.023683 Loss_D_fake 0.002094
[514/5000][350/535][52833] Loss_D: -0.026749 Loss_G: -0.000264 Loss_D_real: -0.008163 Loss_D_fake 0.018586
[514/5000][355/535][52834] Loss_D: -0.025634 Loss_G: 0.011999 Loss_D_real: -0.021954 Loss_D_fake 0.003680
[514/5000][360/535][52835] Loss_D: -0.024412 Loss_G: 0.006088 Loss_D_real: -0.005584 Loss_D_fake 0.018828
[514/5000][365/535][52836] Loss_D: -0.025311 Loss_G: -0.013602 Loss_D_real: 0.000189 Loss_D_fake 0.025500
[514/5000][370/535][52837] Loss_D: -0.026928 Loss_G: 0.016206 Loss_D_real: -0.015532 Loss_D_fake 0.011396
[514/5000][375/535][52838] Loss_D: -0.026376 Loss_G: 0.016125 Loss_D_real: -0.019980 Loss_D_fake 0.006395
[514/5000][380/535][52839] Loss_D: -0.026448 Loss_G: -0.001328 Loss_D_real: -0.005643 Loss_D_fake 0.020805
[514/5000][385/535][52840] Loss_D: -0.028160 Loss_G: -0.009089 Loss_D_real: -0.009678 Loss_D_fake 0.018482
[514/5000][390/535][52841] Loss_D: -0.026203 Loss_G: 0.020045 Loss_D_real: -0.021217 Loss_D_fake 0.004986
[514/5000][395/535][52842] Loss_D: -0.027910 Loss_G: 0.020250 Loss_D_real: -0.024935 Loss_D_fake 0.002975
[514/5000][400/535][52843] Loss_D: -0.026887 Loss_G: 0.007621 Loss_D_real: -0.010196 Loss_D_fake 0.016691
[514/5000][405/535][52844] Loss_D: -0.025788 Loss_G: 0.010728 Loss_D_real: -0.005825 Loss_D_fake 0.019964
[514/5000][410/535][52845] Loss_D: -0.025561 Loss_G: 0.005770 Loss_D_real: -0.017995 Loss_D_fake 0.007566
[514/5000][415/535][52846] Loss_D: -0.026165 Loss_G: -0.003547 Loss_D_real: -0.008307 Loss_D_fake 0.017859
[514/5000][420/535][52847] Loss_D: -0.025048 Loss_G: 0.026965 Loss_D_real: -0.029366 Loss_D_fake -0.004318
[514/5000][425/535][52848] Loss_D: -0.025869 Loss_G: 0.022693 Loss_D_real: -0.022864 Loss_D_fake 0.003005
[514/5000][430/535][52849] Loss_D: -0.025641 Loss_G: 0.011742 Loss_D_real: -0.019684 Loss_D_fake 0.005958
[514/5000][435/535][52850] Loss_D: -0.026885 Loss_G: -0.005394 Loss_D_real: -0.005213 Loss_D_fake 0.021672
[514/5000][440/535][52851] Loss_D: -0.026579 Loss_G: 0.024243 Loss_D_real: -0.017995 Loss_D_fake 0.008584
[514/5000][445/535][52852] Loss_D: -0.024612 Loss_G: 0.001549 Loss_D_real: 0.007364 Loss_D_fake 0.031976
[514/5000][450/535][52853] Loss_D: -0.026086 Loss_G: 0.012307 Loss_D_real: -0.016447 Loss_D_fake 0.009639
[514/5000][455/535][52854] Loss_D: -0.024650 Loss_G: 0.009330 Loss_D_real: -0.006339 Loss_D_fake 0.018310
[514/5000][460/535][52855] Loss_D: -0.025187 Loss_G: 0.026277 Loss_D_real: -0.025593 Loss_D_fake -0.000406
[514/5000][465/535][52856] Loss_D: -0.024697 Loss_G: 0.022374 Loss_D_real: -0.021387 Loss_D_fake 0.003311
[514/5000][470/535][52857] Loss_D: -0.024858 Loss_G: 0.009009 Loss_D_real: -0.023311 Loss_D_fake 0.001547
[514/5000][475/535][52858] Loss_D: -0.026074 Loss_G: 0.034139 Loss_D_real: -0.024275 Loss_D_fake 0.001800
[514/5000][480/535][52859] Loss_D: -0.026998 Loss_G: 0.023579 Loss_D_real: -0.020768 Loss_D_fake 0.006230
[514/5000][485/535][52860] Loss_D: -0.026313 Loss_G: 0.022039 Loss_D_real: -0.030000 Loss_D_fake -0.003687
[514/5000][490/535][52861] Loss_D: -0.027081 Loss_G: 0.012862 Loss_D_real: -0.018175 Loss_D_fake 0.008906
[514/5000][495/535][52862] Loss_D: -0.027533 Loss_G: 0.003240 Loss_D_real: -0.013245 Loss_D_fake 0.014289
[514/5000][500/535][52863] Loss_D: -0.027151 Loss_G: 0.022465 Loss_D_real: -0.011351 Loss_D_fake 0.015800
[514/5000][505/535][52864] Loss_D: -0.027473 Loss_G: -0.012665 Loss_D_real: -0.010890 Loss_D_fake 0.016583
[514/5000][510/535][52865] Loss_D: -0.027225 Loss_G: 0.021431 Loss_D_real: -0.031095 Loss_D_fake -0.003870
[514/5000][515/535][52866] Loss_D: -0.026159 Loss_G: -0.004578 Loss_D_real: -0.001661 Loss_D_fake 0.024497
[514/5000][520/535][52867] Loss_D: -0.025400 Loss_G: 0.022988 Loss_D_real: -0.033654 Loss_D_fake -0.008254
[514/5000][525/535][52868] Loss_D: -0.024169 Loss_G: -0.012766 Loss_D_real: 0.003937 Loss_D_fake 0.028106
[514/5000][530/535][52869] Loss_D: -0.024848 Loss_G: -0.003118 Loss_D_real: -0.009578 Loss_D_fake 0.015271
[514/5000][535/535][52870] Loss_D: -0.022142 Loss_G: -0.014681 Loss_D_real: 0.009856 Loss_D_fake 0.031998
[515/5000][5/535][52871] Loss_D: -0.026680 Loss_G: 0.023016 Loss_D_real: -0.016932 Loss_D_fake 0.009748
[515/5000][10/535][52872] Loss_D: -0.025679 Loss_G: 0.015484 Loss_D_real: -0.022464 Loss_D_fake 0.003215
[515/5000][15/535][52873] Loss_D: -0.027555 Loss_G: 0.020639 Loss_D_real: -0.009654 Loss_D_fake 0.017901
[515/5000][20/535][52874] Loss_D: -0.027647 Loss_G: 0.021914 Loss_D_real: -0.019948 Loss_D_fake 0.007699
[515/5000][25/535][52875] Loss_D: -0.026521 Loss_G: 0.028601 Loss_D_real: -0.029539 Loss_D_fake -0.003018
[515/5000][30/535][52876] Loss_D: -0.027320 Loss_G: 0.026091 Loss_D_real: -0.031433 Loss_D_fake -0.004113
[515/5000][35/535][52877] Loss_D: -0.025871 Loss_G: -0.007021 Loss_D_real: 0.002138 Loss_D_fake 0.028009
[515/5000][40/535][52878] Loss_D: -0.026905 Loss_G: 0.030842 Loss_D_real: -0.029520 Loss_D_fake -0.002615
[515/5000][45/535][52879] Loss_D: -0.025946 Loss_G: -0.003255 Loss_D_real: -0.006112 Loss_D_fake 0.019834
[515/5000][50/535][52880] Loss_D: -0.027647 Loss_G: 0.021323 Loss_D_real: -0.024757 Loss_D_fake 0.002890
[515/5000][55/535][52881] Loss_D: -0.026877 Loss_G: 0.023196 Loss_D_real: -0.033413 Loss_D_fake -0.006536
[515/5000][60/535][52882] Loss_D: -0.026094 Loss_G: 0.006443 Loss_D_real: -0.009937 Loss_D_fake 0.016157
[515/5000][65/535][52883] Loss_D: -0.026194 Loss_G: 0.021150 Loss_D_real: -0.021369 Loss_D_fake 0.004824
[515/5000][70/535][52884] Loss_D: -0.026421 Loss_G: 0.008197 Loss_D_real: -0.009860 Loss_D_fake 0.016561
[515/5000][75/535][52885] Loss_D: -0.027036 Loss_G: 0.014159 Loss_D_real: -0.016249 Loss_D_fake 0.010787
[515/5000][80/535][52886] Loss_D: -0.026894 Loss_G: 0.036663 Loss_D_real: -0.036492 Loss_D_fake -0.009598
[515/5000][85/535][52887] Loss_D: -0.026331 Loss_G: 0.020995 Loss_D_real: -0.017226 Loss_D_fake 0.009105
[515/5000][90/535][52888] Loss_D: -0.027581 Loss_G: 0.015967 Loss_D_real: -0.012596 Loss_D_fake 0.014985
[515/5000][95/535][52889] Loss_D: -0.026515 Loss_G: -0.006279 Loss_D_real: -0.010144 Loss_D_fake 0.016371
[515/5000][100/535][52890] Loss_D: -0.026260 Loss_G: 0.013803 Loss_D_real: -0.023507 Loss_D_fake 0.002753
[515/5000][105/535][52891] Loss_D: -0.025873 Loss_G: 0.018974 Loss_D_real: -0.028653 Loss_D_fake -0.002780
[515/5000][110/535][52892] Loss_D: -0.025980 Loss_G: 0.014264 Loss_D_real: -0.019230 Loss_D_fake 0.006751
[515/5000][115/535][52893] Loss_D: -0.027154 Loss_G: 0.021051 Loss_D_real: -0.028170 Loss_D_fake -0.001016
[515/5000][120/535][52894] Loss_D: -0.026184 Loss_G: -0.000573 Loss_D_real: -0.006672 Loss_D_fake 0.019512
[515/5000][125/535][52895] Loss_D: -0.023668 Loss_G: 0.033640 Loss_D_real: -0.034326 Loss_D_fake -0.010657
[515/5000][130/535][52896] Loss_D: -0.025532 Loss_G: 0.005674 Loss_D_real: -0.010763 Loss_D_fake 0.014769
[515/5000][135/535][52897] Loss_D: -0.027364 Loss_G: 0.011712 Loss_D_real: -0.015390 Loss_D_fake 0.011974
[515/5000][140/535][52898] Loss_D: -0.026594 Loss_G: -0.010587 Loss_D_real: -0.006949 Loss_D_fake 0.019645
[515/5000][145/535][52899] Loss_D: -0.025400 Loss_G: 0.014612 Loss_D_real: -0.021543 Loss_D_fake 0.003857
[515/5000][150/535][52900] Loss_D: -0.025600 Loss_G: -0.002610 Loss_D_real: -0.011141 Loss_D_fake 0.014459
[515/5000][155/535][52901] Loss_D: -0.026138 Loss_G: 0.014884 Loss_D_real: -0.024791 Loss_D_fake 0.001347
[515/5000][160/535][52902] Loss_D: -0.025841 Loss_G: 0.020805 Loss_D_real: -0.023055 Loss_D_fake 0.002786
[515/5000][165/535][52903] Loss_D: -0.028328 Loss_G: 0.007128 Loss_D_real: -0.013287 Loss_D_fake 0.015040
[515/5000][170/535][52904] Loss_D: -0.026465 Loss_G: 0.023737 Loss_D_real: -0.021031 Loss_D_fake 0.005435
[515/5000][175/535][52905] Loss_D: -0.027664 Loss_G: 0.027091 Loss_D_real: -0.027581 Loss_D_fake 0.000083
[515/5000][180/535][52906] Loss_D: -0.027152 Loss_G: 0.003946 Loss_D_real: -0.006759 Loss_D_fake 0.020393
[515/5000][185/535][52907] Loss_D: -0.026291 Loss_G: 0.027257 Loss_D_real: -0.030096 Loss_D_fake -0.003804
[515/5000][190/535][52908] Loss_D: -0.026078 Loss_G: 0.008463 Loss_D_real: -0.020764 Loss_D_fake 0.005314
[515/5000][195/535][52909] Loss_D: -0.026234 Loss_G: 0.020153 Loss_D_real: -0.018147 Loss_D_fake 0.008086
[515/5000][200/535][52910] Loss_D: -0.026160 Loss_G: -0.003225 Loss_D_real: -0.002561 Loss_D_fake 0.023599
[515/5000][205/535][52911] Loss_D: -0.026072 Loss_G: 0.017805 Loss_D_real: -0.010590 Loss_D_fake 0.015482
[515/5000][210/535][52912] Loss_D: -0.025928 Loss_G: 0.005092 Loss_D_real: -0.016515 Loss_D_fake 0.009412
[515/5000][215/535][52913] Loss_D: -0.024275 Loss_G: 0.026826 Loss_D_real: -0.029310 Loss_D_fake -0.005034
[515/5000][220/535][52914] Loss_D: -0.025841 Loss_G: -0.008014 Loss_D_real: 0.000028 Loss_D_fake 0.025869
[515/5000][225/535][52915] Loss_D: -0.026762 Loss_G: 0.001944 Loss_D_real: -0.002772 Loss_D_fake 0.023990
[515/5000][230/535][52916] Loss_D: -0.025725 Loss_G: 0.027613 Loss_D_real: -0.025525 Loss_D_fake 0.000200
[515/5000][235/535][52917] Loss_D: -0.026555 Loss_G: 0.001098 Loss_D_real: -0.013723 Loss_D_fake 0.012832
[515/5000][240/535][52918] Loss_D: -0.027497 Loss_G: 0.015415 Loss_D_real: -0.022640 Loss_D_fake 0.004857
[515/5000][245/535][52919] Loss_D: -0.026353 Loss_G: -0.009110 Loss_D_real: 0.003160 Loss_D_fake 0.029514
[515/5000][250/535][52920] Loss_D: -0.024459 Loss_G: 0.028409 Loss_D_real: -0.032786 Loss_D_fake -0.008327
[515/5000][255/535][52921] Loss_D: -0.025806 Loss_G: 0.007348 Loss_D_real: -0.006664 Loss_D_fake 0.019142
[515/5000][260/535][52922] Loss_D: -0.028423 Loss_G: 0.001070 Loss_D_real: -0.009385 Loss_D_fake 0.019038
[515/5000][265/535][52923] Loss_D: -0.027660 Loss_G: 0.006560 Loss_D_real: -0.022488 Loss_D_fake 0.005172
[515/5000][270/535][52924] Loss_D: -0.025934 Loss_G: 0.018826 Loss_D_real: -0.021073 Loss_D_fake 0.004861
[515/5000][275/535][52925] Loss_D: -0.026017 Loss_G: 0.010582 Loss_D_real: -0.016348 Loss_D_fake 0.009669
[515/5000][280/535][52926] Loss_D: -0.026508 Loss_G: 0.025851 Loss_D_real: -0.027684 Loss_D_fake -0.001176
[515/5000][285/535][52927] Loss_D: -0.025831 Loss_G: 0.021674 Loss_D_real: -0.014933 Loss_D_fake 0.010898
[515/5000][290/535][52928] Loss_D: -0.027812 Loss_G: 0.007444 Loss_D_real: -0.021147 Loss_D_fake 0.006665
[515/5000][295/535][52929] Loss_D: -0.027053 Loss_G: 0.022908 Loss_D_real: -0.034482 Loss_D_fake -0.007430
[515/5000][300/535][52930] Loss_D: -0.026911 Loss_G: -0.005693 Loss_D_real: -0.001921 Loss_D_fake 0.024989
[515/5000][305/535][52931] Loss_D: -0.026155 Loss_G: -0.003452 Loss_D_real: -0.002827 Loss_D_fake 0.023328
[515/5000][310/535][52932] Loss_D: -0.027319 Loss_G: 0.035056 Loss_D_real: -0.020972 Loss_D_fake 0.006347
[515/5000][315/535][52933] Loss_D: -0.025339 Loss_G: -0.006363 Loss_D_real: 0.001942 Loss_D_fake 0.027282
[515/5000][320/535][52934] Loss_D: -0.026525 Loss_G: -0.002235 Loss_D_real: -0.011975 Loss_D_fake 0.014549
[515/5000][325/535][52935] Loss_D: -0.025198 Loss_G: -0.012975 Loss_D_real: 0.005649 Loss_D_fake 0.030848
[515/5000][330/535][52936] Loss_D: -0.025752 Loss_G: 0.007903 Loss_D_real: -0.014661 Loss_D_fake 0.011092
[515/5000][335/535][52937] Loss_D: -0.025268 Loss_G: 0.022803 Loss_D_real: -0.016567 Loss_D_fake 0.008701
[515/5000][340/535][52938] Loss_D: -0.026778 Loss_G: 0.024046 Loss_D_real: -0.018170 Loss_D_fake 0.008607
[515/5000][345/535][52939] Loss_D: -0.024500 Loss_G: 0.030456 Loss_D_real: -0.030509 Loss_D_fake -0.006009
[515/5000][350/535][52940] Loss_D: -0.027761 Loss_G: -0.003634 Loss_D_real: -0.009153 Loss_D_fake 0.018608
[515/5000][355/535][52941] Loss_D: -0.027119 Loss_G: 0.011737 Loss_D_real: -0.022200 Loss_D_fake 0.004919
[515/5000][360/535][52942] Loss_D: -0.024373 Loss_G: 0.032584 Loss_D_real: -0.030900 Loss_D_fake -0.006527
[515/5000][365/535][52943] Loss_D: -0.026244 Loss_G: 0.015596 Loss_D_real: -0.011129 Loss_D_fake 0.015115
[515/5000][370/535][52944] Loss_D: -0.025519 Loss_G: -0.001665 Loss_D_real: -0.004221 Loss_D_fake 0.021298
[515/5000][375/535][52945] Loss_D: -0.026577 Loss_G: 0.018790 Loss_D_real: -0.018964 Loss_D_fake 0.007613
[515/5000][380/535][52946] Loss_D: -0.026951 Loss_G: 0.020618 Loss_D_real: -0.027206 Loss_D_fake -0.000255
[515/5000][385/535][52947] Loss_D: -0.026354 Loss_G: -0.001734 Loss_D_real: -0.000365 Loss_D_fake 0.025989
[515/5000][390/535][52948] Loss_D: -0.024947 Loss_G: -0.000300 Loss_D_real: -0.013521 Loss_D_fake 0.011426
[515/5000][395/535][52949] Loss_D: -0.026489 Loss_G: 0.007289 Loss_D_real: -0.008241 Loss_D_fake 0.018249
[515/5000][400/535][52950] Loss_D: -0.025803 Loss_G: 0.033530 Loss_D_real: -0.026498 Loss_D_fake -0.000696
[515/5000][405/535][52951] Loss_D: -0.025552 Loss_G: -0.000641 Loss_D_real: -0.002755 Loss_D_fake 0.022797
[515/5000][410/535][52952] Loss_D: -0.027133 Loss_G: -0.003580 Loss_D_real: -0.010122 Loss_D_fake 0.017011
[515/5000][415/535][52953] Loss_D: -0.024579 Loss_G: 0.025549 Loss_D_real: -0.025918 Loss_D_fake -0.001339
[515/5000][420/535][52954] Loss_D: -0.027582 Loss_G: 0.007774 Loss_D_real: -0.010660 Loss_D_fake 0.016922
[515/5000][425/535][52955] Loss_D: -0.026997 Loss_G: 0.032441 Loss_D_real: -0.032417 Loss_D_fake -0.005421
[515/5000][430/535][52956] Loss_D: -0.025346 Loss_G: -0.008783 Loss_D_real: 0.008617 Loss_D_fake 0.033963
[515/5000][435/535][52957] Loss_D: -0.026132 Loss_G: 0.006017 Loss_D_real: -0.007002 Loss_D_fake 0.019130
[515/5000][440/535][52958] Loss_D: -0.024630 Loss_G: 0.006654 Loss_D_real: -0.016241 Loss_D_fake 0.008389
[515/5000][445/535][52959] Loss_D: -0.026220 Loss_G: 0.034052 Loss_D_real: -0.035685 Loss_D_fake -0.009466
[515/5000][450/535][52960] Loss_D: -0.027233 Loss_G: 0.003337 Loss_D_real: -0.019802 Loss_D_fake 0.007431
[515/5000][455/535][52961] Loss_D: -0.027400 Loss_G: 0.016155 Loss_D_real: -0.006438 Loss_D_fake 0.020962
[515/5000][460/535][52962] Loss_D: -0.024678 Loss_G: 0.005656 Loss_D_real: -0.017235 Loss_D_fake 0.007443
[515/5000][465/535][52963] Loss_D: -0.027094 Loss_G: 0.010881 Loss_D_real: -0.016234 Loss_D_fake 0.010859
[515/5000][470/535][52964] Loss_D: -0.026663 Loss_G: 0.027778 Loss_D_real: -0.022006 Loss_D_fake 0.004658
[515/5000][475/535][52965] Loss_D: -0.024972 Loss_G: 0.004585 Loss_D_real: -0.001734 Loss_D_fake 0.023238
[515/5000][480/535][52966] Loss_D: -0.024922 Loss_G: 0.039135 Loss_D_real: -0.033693 Loss_D_fake -0.008771
[515/5000][485/535][52967] Loss_D: -0.027016 Loss_G: 0.004439 Loss_D_real: -0.019034 Loss_D_fake 0.007982
[515/5000][490/535][52968] Loss_D: -0.027045 Loss_G: 0.004640 Loss_D_real: -0.019251 Loss_D_fake 0.007794
[515/5000][495/535][52969] Loss_D: -0.026243 Loss_G: 0.021062 Loss_D_real: -0.019356 Loss_D_fake 0.006887
[515/5000][500/535][52970] Loss_D: -0.025587 Loss_G: 0.004631 Loss_D_real: -0.010950 Loss_D_fake 0.014637
[515/5000][505/535][52971] Loss_D: -0.025872 Loss_G: 0.031981 Loss_D_real: -0.026278 Loss_D_fake -0.000406
[515/5000][510/535][52972] Loss_D: -0.026103 Loss_G: -0.000537 Loss_D_real: -0.014095 Loss_D_fake 0.012008
[515/5000][515/535][52973] Loss_D: -0.027062 Loss_G: 0.031858 Loss_D_real: -0.035239 Loss_D_fake -0.008176
[515/5000][520/535][52974] Loss_D: -0.026677 Loss_G: 0.020537 Loss_D_real: -0.020912 Loss_D_fake 0.005765
[515/5000][525/535][52975] Loss_D: -0.027864 Loss_G: 0.028257 Loss_D_real: -0.025093 Loss_D_fake 0.002771
[515/5000][530/535][52976] Loss_D: -0.025120 Loss_G: 0.035818 Loss_D_real: -0.037624 Loss_D_fake -0.012504
[515/5000][535/535][52977] Loss_D: -0.025368 Loss_G: 0.008389 Loss_D_real: -0.009480 Loss_D_fake 0.015888
[516/5000][5/535][52978] Loss_D: -0.026596 Loss_G: 0.027172 Loss_D_real: -0.036395 Loss_D_fake -0.009800
[516/5000][10/535][52979] Loss_D: -0.026745 Loss_G: 0.014086 Loss_D_real: -0.022270 Loss_D_fake 0.004475
[516/5000][15/535][52980] Loss_D: -0.026604 Loss_G: 0.025790 Loss_D_real: -0.026883 Loss_D_fake -0.000280
[516/5000][20/535][52981] Loss_D: -0.026709 Loss_G: -0.005179 Loss_D_real: -0.009676 Loss_D_fake 0.017033
[516/5000][25/535][52982] Loss_D: -0.024336 Loss_G: -0.006108 Loss_D_real: 0.002781 Loss_D_fake 0.027117
[516/5000][30/535][52983] Loss_D: -0.024815 Loss_G: -0.003279 Loss_D_real: -0.014199 Loss_D_fake 0.010616
[516/5000][35/535][52984] Loss_D: -0.024450 Loss_G: 0.039483 Loss_D_real: -0.029318 Loss_D_fake -0.004868
[516/5000][40/535][52985] Loss_D: -0.024842 Loss_G: -0.002746 Loss_D_real: -0.002098 Loss_D_fake 0.022745
[516/5000][45/535][52986] Loss_D: -0.024837 Loss_G: 0.029081 Loss_D_real: -0.024344 Loss_D_fake 0.000493
[516/5000][50/535][52987] Loss_D: -0.026870 Loss_G: 0.014003 Loss_D_real: -0.016625 Loss_D_fake 0.010245
[516/5000][55/535][52988] Loss_D: -0.026654 Loss_G: 0.003329 Loss_D_real: -0.006218 Loss_D_fake 0.020436
[516/5000][60/535][52989] Loss_D: -0.026201 Loss_G: 0.011123 Loss_D_real: -0.020784 Loss_D_fake 0.005417
[516/5000][65/535][52990] Loss_D: -0.026911 Loss_G: 0.012928 Loss_D_real: -0.018614 Loss_D_fake 0.008297
[516/5000][70/535][52991] Loss_D: -0.026136 Loss_G: 0.010046 Loss_D_real: -0.020787 Loss_D_fake 0.005349
[516/5000][75/535][52992] Loss_D: -0.025950 Loss_G: 0.034213 Loss_D_real: -0.029244 Loss_D_fake -0.003294
[516/5000][80/535][52993] Loss_D: -0.026708 Loss_G: 0.021992 Loss_D_real: -0.025133 Loss_D_fake 0.001575
[516/5000][85/535][52994] Loss_D: -0.026823 Loss_G: 0.002932 Loss_D_real: -0.005225 Loss_D_fake 0.021597
[516/5000][90/535][52995] Loss_D: -0.026463 Loss_G: 0.017823 Loss_D_real: -0.024933 Loss_D_fake 0.001530
[516/5000][95/535][52996] Loss_D: -0.027006 Loss_G: 0.015554 Loss_D_real: -0.022525 Loss_D_fake 0.004481
[516/5000][100/535][52997] Loss_D: -0.026814 Loss_G: 0.007954 Loss_D_real: -0.019767 Loss_D_fake 0.007048
[516/5000][105/535][52998] Loss_D: -0.026368 Loss_G: 0.016985 Loss_D_real: -0.008852 Loss_D_fake 0.017516
[516/5000][110/535][52999] Loss_D: -0.027722 Loss_G: 0.015006 Loss_D_real: -0.021278 Loss_D_fake 0.006444
[516/5000][115/535][53000] Loss_D: -0.027506 Loss_G: 0.010855 Loss_D_real: -0.013256 Loss_D_fake 0.014250
[516/5000][215/535][53001] Loss_D: -0.027264 Loss_G: -0.024276 Loss_D_real: 0.013963 Loss_D_fake 0.041226
[516/5000][220/535][53002] Loss_D: -0.026080 Loss_G: 0.022887 Loss_D_real: -0.021754 Loss_D_fake 0.004326
[516/5000][225/535][53003] Loss_D: -0.023601 Loss_G: 0.014376 Loss_D_real: -0.014138 Loss_D_fake 0.009463
[516/5000][230/535][53004] Loss_D: -0.024343 Loss_G: 0.015584 Loss_D_real: -0.017409 Loss_D_fake 0.006934
[516/5000][235/535][53005] Loss_D: -0.023307 Loss_G: 0.022761 Loss_D_real: -0.032372 Loss_D_fake -0.009064
[516/5000][240/535][53006] Loss_D: -0.025450 Loss_G: 0.007773 Loss_D_real: -0.013959 Loss_D_fake 0.011491
[516/5000][245/535][53007] Loss_D: -0.025058 Loss_G: 0.008464 Loss_D_real: -0.020374 Loss_D_fake 0.004684
[516/5000][250/535][53008] Loss_D: -0.025467 Loss_G: 0.020956 Loss_D_real: -0.025074 Loss_D_fake 0.000394
[516/5000][255/535][53009] Loss_D: -0.025620 Loss_G: 0.019666 Loss_D_real: -0.023589 Loss_D_fake 0.002031
[516/5000][260/535][53010] Loss_D: -0.025152 Loss_G: 0.015783 Loss_D_real: -0.019122 Loss_D_fake 0.006030
[516/5000][265/535][53011] Loss_D: -0.025875 Loss_G: 0.009854 Loss_D_real: -0.006832 Loss_D_fake 0.019044
[516/5000][270/535][53012] Loss_D: -0.024924 Loss_G: 0.003818 Loss_D_real: -0.014186 Loss_D_fake 0.010738
[516/5000][275/535][53013] Loss_D: -0.026052 Loss_G: 0.029743 Loss_D_real: -0.020427 Loss_D_fake 0.005626
[516/5000][280/535][53014] Loss_D: -0.025954 Loss_G: 0.001442 Loss_D_real: -0.013438 Loss_D_fake 0.012516
[516/5000][285/535][53015] Loss_D: -0.025871 Loss_G: 0.015836 Loss_D_real: -0.024453 Loss_D_fake 0.001418
[516/5000][290/535][53016] Loss_D: -0.023974 Loss_G: 0.012470 Loss_D_real: -0.033891 Loss_D_fake -0.009917
[516/5000][295/535][53017] Loss_D: -0.027539 Loss_G: 0.010757 Loss_D_real: -0.019238 Loss_D_fake 0.008301
[516/5000][300/535][53018] Loss_D: -0.025716 Loss_G: -0.001968 Loss_D_real: -0.004131 Loss_D_fake 0.021584
[516/5000][305/535][53019] Loss_D: -0.025863 Loss_G: 0.007872 Loss_D_real: -0.017580 Loss_D_fake 0.008283
[516/5000][310/535][53020] Loss_D: -0.026240 Loss_G: 0.033244 Loss_D_real: -0.042427 Loss_D_fake -0.016187
[516/5000][315/535][53021] Loss_D: -0.025768 Loss_G: -0.004789 Loss_D_real: -0.000650 Loss_D_fake 0.025117
[516/5000][320/535][53022] Loss_D: -0.026049 Loss_G: 0.001553 Loss_D_real: -0.008892 Loss_D_fake 0.017157
[516/5000][325/535][53023] Loss_D: -0.025358 Loss_G: 0.009393 Loss_D_real: -0.017021 Loss_D_fake 0.008337
[516/5000][330/535][53024] Loss_D: -0.026026 Loss_G: -0.012317 Loss_D_real: -0.006261 Loss_D_fake 0.019765
[516/5000][335/535][53025] Loss_D: -0.026615 Loss_G: 0.020193 Loss_D_real: -0.023707 Loss_D_fake 0.002907
[516/5000][340/535][53026] Loss_D: -0.026277 Loss_G: 0.017742 Loss_D_real: -0.012956 Loss_D_fake 0.013322
[516/5000][345/535][53027] Loss_D: -0.027008 Loss_G: 0.009214 Loss_D_real: -0.004637 Loss_D_fake 0.022371
[516/5000][350/535][53028] Loss_D: -0.028519 Loss_G: 0.008171 Loss_D_real: -0.019324 Loss_D_fake 0.009195
[516/5000][355/535][53029] Loss_D: -0.027883 Loss_G: 0.016294 Loss_D_real: -0.027290 Loss_D_fake 0.000593
[516/5000][360/535][53030] Loss_D: -0.025522 Loss_G: 0.022547 Loss_D_real: -0.019243 Loss_D_fake 0.006279
[516/5000][365/535][53031] Loss_D: -0.025682 Loss_G: 0.026605 Loss_D_real: -0.015552 Loss_D_fake 0.010130
[516/5000][370/535][53032] Loss_D: -0.025817 Loss_G: 0.020198 Loss_D_real: -0.021547 Loss_D_fake 0.004269
[516/5000][375/535][53033] Loss_D: -0.025852 Loss_G: -0.008524 Loss_D_real: -0.007592 Loss_D_fake 0.018260
[516/5000][380/535][53034] Loss_D: -0.023821 Loss_G: -0.005219 Loss_D_real: -0.006533 Loss_D_fake 0.017288
[516/5000][385/535][53035] Loss_D: -0.026111 Loss_G: 0.024016 Loss_D_real: -0.023990 Loss_D_fake 0.002121
[516/5000][390/535][53036] Loss_D: -0.027014 Loss_G: 0.001919 Loss_D_real: -0.011432 Loss_D_fake 0.015582
[516/5000][395/535][53037] Loss_D: -0.027540 Loss_G: 0.019256 Loss_D_real: -0.012238 Loss_D_fake 0.015302
[516/5000][400/535][53038] Loss_D: -0.025961 Loss_G: 0.011856 Loss_D_real: -0.017913 Loss_D_fake 0.008049
[516/5000][405/535][53039] Loss_D: -0.027536 Loss_G: 0.001550 Loss_D_real: -0.006268 Loss_D_fake 0.021268
[516/5000][410/535][53040] Loss_D: -0.026061 Loss_G: 0.027518 Loss_D_real: -0.030983 Loss_D_fake -0.004922
[516/5000][415/535][53041] Loss_D: -0.026962 Loss_G: 0.009594 Loss_D_real: -0.019369 Loss_D_fake 0.007592
[516/5000][420/535][53042] Loss_D: -0.026458 Loss_G: 0.010702 Loss_D_real: -0.024514 Loss_D_fake 0.001944
[516/5000][425/535][53043] Loss_D: -0.027231 Loss_G: 0.015860 Loss_D_real: -0.005197 Loss_D_fake 0.022033
[516/5000][430/535][53044] Loss_D: -0.026373 Loss_G: 0.025736 Loss_D_real: -0.022708 Loss_D_fake 0.003664
[516/5000][435/535][53045] Loss_D: -0.025942 Loss_G: 0.029851 Loss_D_real: -0.024579 Loss_D_fake 0.001362
[516/5000][440/535][53046] Loss_D: -0.026787 Loss_G: -0.004504 Loss_D_real: 0.001234 Loss_D_fake 0.028021
[516/5000][445/535][53047] Loss_D: -0.026770 Loss_G: 0.025193 Loss_D_real: -0.026615 Loss_D_fake 0.000155
[516/5000][450/535][53048] Loss_D: -0.027675 Loss_G: 0.004181 Loss_D_real: 0.004251 Loss_D_fake 0.031926
[516/5000][455/535][53049] Loss_D: -0.025205 Loss_G: 0.000851 Loss_D_real: -0.015590 Loss_D_fake 0.009616
[516/5000][460/535][53050] Loss_D: -0.024348 Loss_G: 0.025954 Loss_D_real: -0.030070 Loss_D_fake -0.005722
[516/5000][465/535][53051] Loss_D: -0.025793 Loss_G: 0.008380 Loss_D_real: -0.014496 Loss_D_fake 0.011297
[516/5000][470/535][53052] Loss_D: -0.025577 Loss_G: 0.022929 Loss_D_real: -0.012769 Loss_D_fake 0.012808
[516/5000][475/535][53053] Loss_D: -0.025797 Loss_G: 0.028462 Loss_D_real: -0.026809 Loss_D_fake -0.001012
[516/5000][480/535][53054] Loss_D: -0.025764 Loss_G: -0.007370 Loss_D_real: -0.009759 Loss_D_fake 0.016005
[516/5000][485/535][53055] Loss_D: -0.025014 Loss_G: 0.034994 Loss_D_real: -0.036128 Loss_D_fake -0.011114
[516/5000][490/535][53056] Loss_D: -0.025209 Loss_G: 0.030723 Loss_D_real: -0.032135 Loss_D_fake -0.006926
[516/5000][495/535][53057] Loss_D: -0.027295 Loss_G: 0.012484 Loss_D_real: -0.022367 Loss_D_fake 0.004928
[516/5000][500/535][53058] Loss_D: -0.026104 Loss_G: 0.020380 Loss_D_real: -0.021442 Loss_D_fake 0.004663
[516/5000][505/535][53059] Loss_D: -0.025786 Loss_G: 0.024386 Loss_D_real: -0.019423 Loss_D_fake 0.006363
[516/5000][510/535][53060] Loss_D: -0.027441 Loss_G: 0.012294 Loss_D_real: -0.015114 Loss_D_fake 0.012326
[516/5000][515/535][53061] Loss_D: -0.026733 Loss_G: 0.027235 Loss_D_real: -0.035330 Loss_D_fake -0.008597
[516/5000][520/535][53062] Loss_D: -0.026740 Loss_G: 0.016663 Loss_D_real: -0.025048 Loss_D_fake 0.001692
[516/5000][525/535][53063] Loss_D: -0.025150 Loss_G: -0.010671 Loss_D_real: -0.003770 Loss_D_fake 0.021380
[516/5000][530/535][53064] Loss_D: -0.024995 Loss_G: 0.027499 Loss_D_real: -0.032123 Loss_D_fake -0.007128
[516/5000][535/535][53065] Loss_D: -0.027575 Loss_G: 0.029491 Loss_D_real: -0.035388 Loss_D_fake -0.007813
[517/5000][5/535][53066] Loss_D: -0.028082 Loss_G: 0.018349 Loss_D_real: -0.007595 Loss_D_fake 0.020487
[517/5000][10/535][53067] Loss_D: -0.026209 Loss_G: -0.009568 Loss_D_real: -0.004383 Loss_D_fake 0.021826
[517/5000][15/535][53068] Loss_D: -0.026968 Loss_G: 0.012569 Loss_D_real: -0.025190 Loss_D_fake 0.001777
[517/5000][20/535][53069] Loss_D: -0.026337 Loss_G: 0.029987 Loss_D_real: -0.033288 Loss_D_fake -0.006951
[517/5000][25/535][53070] Loss_D: -0.026062 Loss_G: 0.025032 Loss_D_real: -0.033958 Loss_D_fake -0.007896
[517/5000][30/535][53071] Loss_D: -0.027747 Loss_G: 0.012344 Loss_D_real: -0.026478 Loss_D_fake 0.001268
[517/5000][35/535][53072] Loss_D: -0.026299 Loss_G: 0.019411 Loss_D_real: -0.027257 Loss_D_fake -0.000957
[517/5000][40/535][53073] Loss_D: -0.025729 Loss_G: 0.002309 Loss_D_real: -0.010353 Loss_D_fake 0.015376
[517/5000][45/535][53074] Loss_D: -0.025771 Loss_G: -0.011181 Loss_D_real: -0.002839 Loss_D_fake 0.022932
[517/5000][50/535][53075] Loss_D: -0.026145 Loss_G: 0.029954 Loss_D_real: -0.031075 Loss_D_fake -0.004930
[517/5000][55/535][53076] Loss_D: -0.027391 Loss_G: -0.003765 Loss_D_real: -0.016012 Loss_D_fake 0.011379
[517/5000][60/535][53077] Loss_D: -0.024918 Loss_G: 0.030965 Loss_D_real: -0.029678 Loss_D_fake -0.004761
[517/5000][65/535][53078] Loss_D: -0.027209 Loss_G: 0.009219 Loss_D_real: -0.018577 Loss_D_fake 0.008632
[517/5000][70/535][53079] Loss_D: -0.026674 Loss_G: 0.020176 Loss_D_real: -0.029190 Loss_D_fake -0.002516
[517/5000][75/535][53080] Loss_D: -0.026075 Loss_G: 0.011691 Loss_D_real: -0.019931 Loss_D_fake 0.006143
[517/5000][80/535][53081] Loss_D: -0.026177 Loss_G: -0.001015 Loss_D_real: -0.012045 Loss_D_fake 0.014132
[517/5000][85/535][53082] Loss_D: -0.026637 Loss_G: 0.023100 Loss_D_real: -0.022081 Loss_D_fake 0.004557
[517/5000][90/535][53083] Loss_D: -0.026493 Loss_G: 0.031251 Loss_D_real: -0.034622 Loss_D_fake -0.008129
[517/5000][95/535][53084] Loss_D: -0.023617 Loss_G: -0.019648 Loss_D_real: 0.010870 Loss_D_fake 0.034487
[517/5000][100/535][53085] Loss_D: -0.025051 Loss_G: 0.022470 Loss_D_real: -0.020915 Loss_D_fake 0.004136
[517/5000][105/535][53086] Loss_D: -0.024652 Loss_G: 0.021885 Loss_D_real: -0.016073 Loss_D_fake 0.008579
[517/5000][110/535][53087] Loss_D: -0.026059 Loss_G: 0.016347 Loss_D_real: -0.025793 Loss_D_fake 0.000266
[517/5000][115/535][53088] Loss_D: -0.026590 Loss_G: 0.013100 Loss_D_real: -0.019907 Loss_D_fake 0.006683
[517/5000][120/535][53089] Loss_D: -0.027003 Loss_G: -0.007049 Loss_D_real: -0.006428 Loss_D_fake 0.020575
[517/5000][125/535][53090] Loss_D: -0.025260 Loss_G: 0.017292 Loss_D_real: -0.024458 Loss_D_fake 0.000802
[517/5000][130/535][53091] Loss_D: -0.026881 Loss_G: 0.016747 Loss_D_real: -0.024155 Loss_D_fake 0.002726
[517/5000][135/535][53092] Loss_D: -0.024485 Loss_G: 0.031884 Loss_D_real: -0.026265 Loss_D_fake -0.001779
[517/5000][140/535][53093] Loss_D: -0.027698 Loss_G: 0.007135 Loss_D_real: -0.005592 Loss_D_fake 0.022106
[517/5000][145/535][53094] Loss_D: -0.025448 Loss_G: 0.029209 Loss_D_real: -0.031373 Loss_D_fake -0.005925
[517/5000][150/535][53095] Loss_D: -0.027505 Loss_G: 0.006534 Loss_D_real: -0.006373 Loss_D_fake 0.021132
[517/5000][155/535][53096] Loss_D: -0.026588 Loss_G: 0.009133 Loss_D_real: -0.013773 Loss_D_fake 0.012815
[517/5000][160/535][53097] Loss_D: -0.026180 Loss_G: 0.014902 Loss_D_real: -0.022773 Loss_D_fake 0.003407
[517/5000][165/535][53098] Loss_D: -0.025560 Loss_G: 0.025876 Loss_D_real: -0.031159 Loss_D_fake -0.005599
[517/5000][170/535][53099] Loss_D: -0.026214 Loss_G: 0.012193 Loss_D_real: -0.022679 Loss_D_fake 0.003536
[517/5000][175/535][53100] Loss_D: -0.025968 Loss_G: 0.030941 Loss_D_real: -0.018555 Loss_D_fake 0.007413
[517/5000][180/535][53101] Loss_D: -0.025284 Loss_G: 0.028803 Loss_D_real: -0.038480 Loss_D_fake -0.013197
[517/5000][185/535][53102] Loss_D: -0.026983 Loss_G: 0.024008 Loss_D_real: -0.019332 Loss_D_fake 0.007651
[517/5000][190/535][53103] Loss_D: -0.026111 Loss_G: -0.011635 Loss_D_real: -0.005465 Loss_D_fake 0.020647
[517/5000][195/535][53104] Loss_D: -0.024707 Loss_G: 0.027956 Loss_D_real: -0.021376 Loss_D_fake 0.003330
[517/5000][200/535][53105] Loss_D: -0.026882 Loss_G: 0.018493 Loss_D_real: -0.018835 Loss_D_fake 0.008047
[517/5000][205/535][53106] Loss_D: -0.027041 Loss_G: 0.017989 Loss_D_real: -0.029965 Loss_D_fake -0.002924
[517/5000][210/535][53107] Loss_D: -0.025515 Loss_G: 0.034812 Loss_D_real: -0.038077 Loss_D_fake -0.012563
[517/5000][215/535][53108] Loss_D: -0.027485 Loss_G: 0.006952 Loss_D_real: -0.011952 Loss_D_fake 0.015533
[517/5000][220/535][53109] Loss_D: -0.027850 Loss_G: -0.002704 Loss_D_real: -0.016022 Loss_D_fake 0.011828
[517/5000][225/535][53110] Loss_D: -0.025405 Loss_G: 0.034017 Loss_D_real: -0.036372 Loss_D_fake -0.010967
[517/5000][230/535][53111] Loss_D: -0.026786 Loss_G: 0.021993 Loss_D_real: -0.016763 Loss_D_fake 0.010024
[517/5000][235/535][53112] Loss_D: -0.025631 Loss_G: -0.008092 Loss_D_real: 0.004572 Loss_D_fake 0.030203
[517/5000][240/535][53113] Loss_D: -0.026712 Loss_G: 0.013762 Loss_D_real: -0.013334 Loss_D_fake 0.013377
[517/5000][245/535][53114] Loss_D: -0.025645 Loss_G: 0.006327 Loss_D_real: -0.016253 Loss_D_fake 0.009392
[517/5000][250/535][53115] Loss_D: -0.026097 Loss_G: 0.006539 Loss_D_real: -0.011868 Loss_D_fake 0.014228
[517/5000][255/535][53116] Loss_D: -0.027429 Loss_G: 0.018423 Loss_D_real: -0.019531 Loss_D_fake 0.007899
[517/5000][260/535][53117] Loss_D: -0.026413 Loss_G: 0.024870 Loss_D_real: -0.024283 Loss_D_fake 0.002131
[517/5000][265/535][53118] Loss_D: -0.027698 Loss_G: 0.024224 Loss_D_real: -0.022531 Loss_D_fake 0.005167
[517/5000][270/535][53119] Loss_D: -0.026092 Loss_G: -0.003218 Loss_D_real: 0.004676 Loss_D_fake 0.030768
[517/5000][275/535][53120] Loss_D: -0.025468 Loss_G: 0.012558 Loss_D_real: -0.017396 Loss_D_fake 0.008071
[517/5000][280/535][53121] Loss_D: -0.026617 Loss_G: 0.036069 Loss_D_real: -0.032245 Loss_D_fake -0.005628
[517/5000][285/535][53122] Loss_D: -0.027212 Loss_G: -0.002759 Loss_D_real: -0.010980 Loss_D_fake 0.016232
[517/5000][290/535][53123] Loss_D: -0.025295 Loss_G: 0.016999 Loss_D_real: -0.035543 Loss_D_fake -0.010248
[517/5000][295/535][53124] Loss_D: -0.025465 Loss_G: 0.025955 Loss_D_real: -0.027010 Loss_D_fake -0.001545
[517/5000][300/535][53125] Loss_D: -0.026967 Loss_G: 0.017436 Loss_D_real: -0.018464 Loss_D_fake 0.008502
[517/5000][305/535][53126] Loss_D: -0.027410 Loss_G: 0.008553 Loss_D_real: -0.006790 Loss_D_fake 0.020620
[517/5000][310/535][53127] Loss_D: -0.026825 Loss_G: 0.009890 Loss_D_real: -0.011269 Loss_D_fake 0.015557
[517/5000][315/535][53128] Loss_D: -0.027243 Loss_G: 0.030076 Loss_D_real: -0.017099 Loss_D_fake 0.010145
[517/5000][320/535][53129] Loss_D: -0.026445 Loss_G: 0.000788 Loss_D_real: -0.010553 Loss_D_fake 0.015891
[517/5000][325/535][53130] Loss_D: -0.025737 Loss_G: 0.027955 Loss_D_real: -0.024302 Loss_D_fake 0.001435
[517/5000][330/535][53131] Loss_D: -0.026916 Loss_G: 0.001602 Loss_D_real: -0.004444 Loss_D_fake 0.022472
[517/5000][335/535][53132] Loss_D: -0.026825 Loss_G: 0.006580 Loss_D_real: -0.012296 Loss_D_fake 0.014528
[517/5000][340/535][53133] Loss_D: -0.027001 Loss_G: 0.027080 Loss_D_real: -0.018113 Loss_D_fake 0.008888
[517/5000][345/535][53134] Loss_D: -0.025507 Loss_G: -0.003103 Loss_D_real: -0.001695 Loss_D_fake 0.023812
[517/5000][350/535][53135] Loss_D: -0.025885 Loss_G: 0.024859 Loss_D_real: -0.035670 Loss_D_fake -0.009785
[517/5000][355/535][53136] Loss_D: -0.024097 Loss_G: 0.030411 Loss_D_real: -0.036748 Loss_D_fake -0.012650
[517/5000][360/535][53137] Loss_D: -0.027058 Loss_G: 0.004457 Loss_D_real: -0.016797 Loss_D_fake 0.010261
[517/5000][365/535][53138] Loss_D: -0.026909 Loss_G: 0.017695 Loss_D_real: -0.021176 Loss_D_fake 0.005733
[517/5000][370/535][53139] Loss_D: -0.026411 Loss_G: -0.011346 Loss_D_real: -0.005946 Loss_D_fake 0.020464
[517/5000][375/535][53140] Loss_D: -0.025475 Loss_G: 0.018316 Loss_D_real: -0.022248 Loss_D_fake 0.003227
[517/5000][380/535][53141] Loss_D: -0.025854 Loss_G: 0.001845 Loss_D_real: -0.002587 Loss_D_fake 0.023267
[517/5000][385/535][53142] Loss_D: -0.024410 Loss_G: -0.003701 Loss_D_real: -0.006221 Loss_D_fake 0.018189
[517/5000][390/535][53143] Loss_D: -0.024941 Loss_G: 0.024725 Loss_D_real: -0.029964 Loss_D_fake -0.005023
[517/5000][395/535][53144] Loss_D: -0.025654 Loss_G: 0.032031 Loss_D_real: -0.029674 Loss_D_fake -0.004020
[517/5000][400/535][53145] Loss_D: -0.026450 Loss_G: 0.013119 Loss_D_real: -0.021650 Loss_D_fake 0.004800
[517/5000][405/535][53146] Loss_D: -0.025182 Loss_G: 0.029657 Loss_D_real: -0.033412 Loss_D_fake -0.008230
[517/5000][410/535][53147] Loss_D: -0.025569 Loss_G: 0.031029 Loss_D_real: -0.027182 Loss_D_fake -0.001614
[517/5000][415/535][53148] Loss_D: -0.026035 Loss_G: 0.020557 Loss_D_real: -0.020513 Loss_D_fake 0.005522
[517/5000][420/535][53149] Loss_D: -0.025743 Loss_G: 0.011445 Loss_D_real: -0.015069 Loss_D_fake 0.010674
[517/5000][425/535][53150] Loss_D: -0.027236 Loss_G: 0.001463 Loss_D_real: -0.014006 Loss_D_fake 0.013230
[517/5000][430/535][53151] Loss_D: -0.025411 Loss_G: 0.017865 Loss_D_real: -0.026078 Loss_D_fake -0.000667
[517/5000][435/535][53152] Loss_D: -0.026847 Loss_G: -0.003754 Loss_D_real: -0.006915 Loss_D_fake 0.019933
[517/5000][440/535][53153] Loss_D: -0.025238 Loss_G: 0.022933 Loss_D_real: -0.029598 Loss_D_fake -0.004360
[517/5000][445/535][53154] Loss_D: -0.026132 Loss_G: -0.000899 Loss_D_real: -0.004808 Loss_D_fake 0.021324
[517/5000][450/535][53155] Loss_D: -0.027274 Loss_G: 0.019055 Loss_D_real: -0.020022 Loss_D_fake 0.007252
[517/5000][455/535][53156] Loss_D: -0.026810 Loss_G: 0.018080 Loss_D_real: -0.008559 Loss_D_fake 0.018251
[517/5000][460/535][53157] Loss_D: -0.024650 Loss_G: 0.007653 Loss_D_real: -0.021011 Loss_D_fake 0.003639
[517/5000][465/535][53158] Loss_D: -0.024852 Loss_G: 0.000776 Loss_D_real: -0.004007 Loss_D_fake 0.020845
[517/5000][470/535][53159] Loss_D: -0.025415 Loss_G: 0.027531 Loss_D_real: -0.031162 Loss_D_fake -0.005747
[517/5000][475/535][53160] Loss_D: -0.026611 Loss_G: 0.030313 Loss_D_real: -0.028138 Loss_D_fake -0.001526
[517/5000][480/535][53161] Loss_D: -0.026222 Loss_G: 0.006635 Loss_D_real: -0.020551 Loss_D_fake 0.005671
[517/5000][485/535][53162] Loss_D: -0.024003 Loss_G: -0.009069 Loss_D_real: 0.005608 Loss_D_fake 0.029612
[517/5000][490/535][53163] Loss_D: -0.024292 Loss_G: 0.017936 Loss_D_real: -0.023626 Loss_D_fake 0.000666
[517/5000][495/535][53164] Loss_D: -0.026443 Loss_G: 0.005261 Loss_D_real: -0.013214 Loss_D_fake 0.013228
[517/5000][500/535][53165] Loss_D: -0.026649 Loss_G: 0.016167 Loss_D_real: -0.020240 Loss_D_fake 0.006409
[517/5000][505/535][53166] Loss_D: -0.027694 Loss_G: 0.004900 Loss_D_real: -0.010500 Loss_D_fake 0.017194
[517/5000][510/535][53167] Loss_D: -0.027255 Loss_G: 0.030714 Loss_D_real: -0.031229 Loss_D_fake -0.003973
[517/5000][515/535][53168] Loss_D: -0.027811 Loss_G: 0.023467 Loss_D_real: -0.013248 Loss_D_fake 0.014563
[517/5000][520/535][53169] Loss_D: -0.026712 Loss_G: 0.022839 Loss_D_real: -0.023487 Loss_D_fake 0.003225
[517/5000][525/535][53170] Loss_D: -0.025495 Loss_G: 0.008093 Loss_D_real: -0.016644 Loss_D_fake 0.008851
[517/5000][530/535][53171] Loss_D: -0.025538 Loss_G: 0.024719 Loss_D_real: -0.030414 Loss_D_fake -0.004875
[517/5000][535/535][53172] Loss_D: -0.027051 Loss_G: 0.009663 Loss_D_real: -0.016035 Loss_D_fake 0.011016
[518/5000][5/535][53173] Loss_D: -0.029022 Loss_G: 0.023200 Loss_D_real: -0.020807 Loss_D_fake 0.008214
[518/5000][10/535][53174] Loss_D: -0.026165 Loss_G: 0.012421 Loss_D_real: -0.023808 Loss_D_fake 0.002357
[518/5000][15/535][53175] Loss_D: -0.026693 Loss_G: 0.005295 Loss_D_real: -0.017923 Loss_D_fake 0.008770
[518/5000][20/535][53176] Loss_D: -0.024598 Loss_G: 0.030126 Loss_D_real: -0.034591 Loss_D_fake -0.009992
[518/5000][25/535][53177] Loss_D: -0.026367 Loss_G: 0.014327 Loss_D_real: -0.027446 Loss_D_fake -0.001079
[518/5000][30/535][53178] Loss_D: -0.024861 Loss_G: -0.006659 Loss_D_real: -0.000200 Loss_D_fake 0.024661
[518/5000][35/535][53179] Loss_D: -0.027513 Loss_G: 0.012972 Loss_D_real: -0.017128 Loss_D_fake 0.010385
[518/5000][40/535][53180] Loss_D: -0.026346 Loss_G: 0.021763 Loss_D_real: -0.014743 Loss_D_fake 0.011603
[518/5000][45/535][53181] Loss_D: -0.025565 Loss_G: 0.021972 Loss_D_real: -0.029608 Loss_D_fake -0.004043
[518/5000][50/535][53182] Loss_D: -0.026835 Loss_G: 0.009507 Loss_D_real: -0.011632 Loss_D_fake 0.015202
[518/5000][55/535][53183] Loss_D: -0.026380 Loss_G: 0.029754 Loss_D_real: -0.031865 Loss_D_fake -0.005485
[518/5000][60/535][53184] Loss_D: -0.024755 Loss_G: 0.044858 Loss_D_real: -0.032950 Loss_D_fake -0.008195
[518/5000][65/535][53185] Loss_D: -0.026831 Loss_G: 0.003019 Loss_D_real: -0.015710 Loss_D_fake 0.011121
[518/5000][70/535][53186] Loss_D: -0.026119 Loss_G: 0.017650 Loss_D_real: -0.013860 Loss_D_fake 0.012259
[518/5000][75/535][53187] Loss_D: -0.025879 Loss_G: 0.007590 Loss_D_real: -0.014104 Loss_D_fake 0.011776
[518/5000][80/535][53188] Loss_D: -0.025543 Loss_G: 0.001712 Loss_D_real: -0.008441 Loss_D_fake 0.017102
[518/5000][85/535][53189] Loss_D: -0.027225 Loss_G: 0.023154 Loss_D_real: -0.026792 Loss_D_fake 0.000433
[518/5000][90/535][53190] Loss_D: -0.026993 Loss_G: -0.010193 Loss_D_real: -0.000133 Loss_D_fake 0.026860
[518/5000][95/535][53191] Loss_D: -0.025447 Loss_G: 0.035141 Loss_D_real: -0.028339 Loss_D_fake -0.002892
[518/5000][100/535][53192] Loss_D: -0.025252 Loss_G: 0.028101 Loss_D_real: -0.027300 Loss_D_fake -0.002047
[518/5000][105/535][53193] Loss_D: -0.027286 Loss_G: 0.017650 Loss_D_real: -0.021784 Loss_D_fake 0.005502
[518/5000][110/535][53194] Loss_D: -0.027310 Loss_G: 0.004916 Loss_D_real: -0.004720 Loss_D_fake 0.022590
[518/5000][115/535][53195] Loss_D: -0.027239 Loss_G: 0.000149 Loss_D_real: -0.012818 Loss_D_fake 0.014420
[518/5000][120/535][53196] Loss_D: -0.027354 Loss_G: 0.027208 Loss_D_real: -0.023993 Loss_D_fake 0.003361
[518/5000][125/535][53197] Loss_D: -0.025249 Loss_G: 0.001102 Loss_D_real: -0.011520 Loss_D_fake 0.013729
[518/5000][130/535][53198] Loss_D: -0.026994 Loss_G: 0.006906 Loss_D_real: -0.009138 Loss_D_fake 0.017856
[518/5000][135/535][53199] Loss_D: -0.027350 Loss_G: 0.001468 Loss_D_real: -0.006751 Loss_D_fake 0.020599
[518/5000][140/535][53200] Loss_D: -0.026581 Loss_G: 0.001436 Loss_D_real: -0.013947 Loss_D_fake 0.012633
[518/5000][145/535][53201] Loss_D: -0.025381 Loss_G: 0.040861 Loss_D_real: -0.035304 Loss_D_fake -0.009923
[518/5000][150/535][53202] Loss_D: -0.025977 Loss_G: 0.003391 Loss_D_real: -0.007121 Loss_D_fake 0.018856
[518/5000][155/535][53203] Loss_D: -0.025485 Loss_G: 0.014130 Loss_D_real: -0.020026 Loss_D_fake 0.005460
[518/5000][160/535][53204] Loss_D: -0.024460 Loss_G: 0.034332 Loss_D_real: -0.040729 Loss_D_fake -0.016269
[518/5000][165/535][53205] Loss_D: -0.027094 Loss_G: 0.016697 Loss_D_real: -0.017044 Loss_D_fake 0.010050
[518/5000][170/535][53206] Loss_D: -0.025916 Loss_G: 0.013829 Loss_D_real: -0.018791 Loss_D_fake 0.007126
[518/5000][175/535][53207] Loss_D: -0.025238 Loss_G: 0.022987 Loss_D_real: -0.024438 Loss_D_fake 0.000801
[518/5000][180/535][53208] Loss_D: -0.024968 Loss_G: -0.016376 Loss_D_real: -0.000136 Loss_D_fake 0.024832
[518/5000][185/535][53209] Loss_D: -0.026810 Loss_G: 0.022607 Loss_D_real: -0.021357 Loss_D_fake 0.005453
[518/5000][190/535][53210] Loss_D: -0.024080 Loss_G: -0.015686 Loss_D_real: 0.004136 Loss_D_fake 0.028216
[518/5000][195/535][53211] Loss_D: -0.025916 Loss_G: 0.016885 Loss_D_real: -0.020994 Loss_D_fake 0.004922
[518/5000][200/535][53212] Loss_D: -0.025267 Loss_G: 0.019554 Loss_D_real: -0.022713 Loss_D_fake 0.002555
[518/5000][205/535][53213] Loss_D: -0.025133 Loss_G: 0.004817 Loss_D_real: -0.018625 Loss_D_fake 0.006508
[518/5000][210/535][53214] Loss_D: -0.026046 Loss_G: 0.010616 Loss_D_real: -0.023244 Loss_D_fake 0.002802
[518/5000][215/535][53215] Loss_D: -0.026148 Loss_G: 0.017221 Loss_D_real: -0.022839 Loss_D_fake 0.003309
[518/5000][220/535][53216] Loss_D: -0.025607 Loss_G: -0.003843 Loss_D_real: -0.006018 Loss_D_fake 0.019588
[518/5000][225/535][53217] Loss_D: -0.025102 Loss_G: 0.005858 Loss_D_real: -0.004861 Loss_D_fake 0.020240
[518/5000][230/535][53218] Loss_D: -0.025914 Loss_G: 0.019843 Loss_D_real: -0.019198 Loss_D_fake 0.006716
[518/5000][235/535][53219] Loss_D: -0.025567 Loss_G: 0.030339 Loss_D_real: -0.024435 Loss_D_fake 0.001132
[518/5000][240/535][53220] Loss_D: -0.024769 Loss_G: 0.033986 Loss_D_real: -0.030744 Loss_D_fake -0.005975
[518/5000][245/535][53221] Loss_D: -0.026587 Loss_G: -0.005681 Loss_D_real: -0.007094 Loss_D_fake 0.019493
[518/5000][250/535][53222] Loss_D: -0.025766 Loss_G: 0.020606 Loss_D_real: -0.023248 Loss_D_fake 0.002518
[518/5000][255/535][53223] Loss_D: -0.025856 Loss_G: 0.011735 Loss_D_real: -0.014096 Loss_D_fake 0.011760
[518/5000][260/535][53224] Loss_D: -0.025188 Loss_G: 0.024285 Loss_D_real: -0.022219 Loss_D_fake 0.002969
[518/5000][265/535][53225] Loss_D: -0.026840 Loss_G: 0.034312 Loss_D_real: -0.025591 Loss_D_fake 0.001249
[518/5000][270/535][53226] Loss_D: -0.027078 Loss_G: 0.003527 Loss_D_real: -0.011945 Loss_D_fake 0.015133
[518/5000][275/535][53227] Loss_D: -0.026394 Loss_G: -0.004465 Loss_D_real: -0.008247 Loss_D_fake 0.018147
[518/5000][280/535][53228] Loss_D: -0.026060 Loss_G: 0.026428 Loss_D_real: -0.032425 Loss_D_fake -0.006366
[518/5000][285/535][53229] Loss_D: -0.027198 Loss_G: 0.031314 Loss_D_real: -0.026929 Loss_D_fake 0.000269
[518/5000][290/535][53230] Loss_D: -0.026982 Loss_G: 0.015517 Loss_D_real: -0.021325 Loss_D_fake 0.005657
[518/5000][295/535][53231] Loss_D: -0.026769 Loss_G: 0.015266 Loss_D_real: -0.011582 Loss_D_fake 0.015188
[518/5000][300/535][53232] Loss_D: -0.025717 Loss_G: 0.022614 Loss_D_real: -0.017854 Loss_D_fake 0.007863
[518/5000][305/535][53233] Loss_D: -0.025535 Loss_G: 0.030503 Loss_D_real: -0.027740 Loss_D_fake -0.002205
[518/5000][310/535][53234] Loss_D: -0.026437 Loss_G: -0.000186 Loss_D_real: -0.003042 Loss_D_fake 0.023394
[518/5000][315/535][53235] Loss_D: -0.025379 Loss_G: 0.001884 Loss_D_real: -0.015123 Loss_D_fake 0.010256
[518/5000][320/535][53236] Loss_D: -0.026995 Loss_G: 0.005089 Loss_D_real: -0.014395 Loss_D_fake 0.012600
[518/5000][325/535][53237] Loss_D: -0.026073 Loss_G: 0.020187 Loss_D_real: -0.032222 Loss_D_fake -0.006149
[518/5000][330/535][53238] Loss_D: -0.026490 Loss_G: 0.001450 Loss_D_real: -0.009159 Loss_D_fake 0.017330
[518/5000][335/535][53239] Loss_D: -0.025534 Loss_G: 0.016618 Loss_D_real: -0.017263 Loss_D_fake 0.008271
[518/5000][340/535][53240] Loss_D: -0.026125 Loss_G: 0.027335 Loss_D_real: -0.027020 Loss_D_fake -0.000895
[518/5000][345/535][53241] Loss_D: -0.026737 Loss_G: 0.017519 Loss_D_real: -0.015485 Loss_D_fake 0.011252
[518/5000][350/535][53242] Loss_D: -0.024762 Loss_G: 0.007797 Loss_D_real: -0.003235 Loss_D_fake 0.021528
[518/5000][355/535][53243] Loss_D: -0.024672 Loss_G: 0.013203 Loss_D_real: -0.020513 Loss_D_fake 0.004159
[518/5000][360/535][53244] Loss_D: -0.026543 Loss_G: 0.016026 Loss_D_real: -0.014415 Loss_D_fake 0.012127
[518/5000][365/535][53245] Loss_D: -0.026283 Loss_G: 0.006240 Loss_D_real: -0.017043 Loss_D_fake 0.009240
[518/5000][370/535][53246] Loss_D: -0.026457 Loss_G: -0.012638 Loss_D_real: 0.001083 Loss_D_fake 0.027540
[518/5000][375/535][53247] Loss_D: -0.026595 Loss_G: 0.009077 Loss_D_real: -0.016839 Loss_D_fake 0.009756
[518/5000][380/535][53248] Loss_D: -0.026016 Loss_G: 0.023741 Loss_D_real: -0.022319 Loss_D_fake 0.003698
[518/5000][385/535][53249] Loss_D: -0.028254 Loss_G: 0.006016 Loss_D_real: -0.000320 Loss_D_fake 0.027934
[518/5000][390/535][53250] Loss_D: -0.027102 Loss_G: 0.016166 Loss_D_real: -0.016220 Loss_D_fake 0.010882
[518/5000][395/535][53251] Loss_D: -0.026492 Loss_G: -0.003530 Loss_D_real: -0.006725 Loss_D_fake 0.019768
[518/5000][400/535][53252] Loss_D: -0.025195 Loss_G: 0.042964 Loss_D_real: -0.029554 Loss_D_fake -0.004359
[518/5000][405/535][53253] Loss_D: -0.025437 Loss_G: 0.004950 Loss_D_real: -0.007610 Loss_D_fake 0.017827
[518/5000][410/535][53254] Loss_D: -0.025596 Loss_G: 0.019704 Loss_D_real: -0.023761 Loss_D_fake 0.001834
[518/5000][415/535][53255] Loss_D: -0.026737 Loss_G: -0.009965 Loss_D_real: -0.010630 Loss_D_fake 0.016107
[518/5000][420/535][53256] Loss_D: -0.025392 Loss_G: 0.022697 Loss_D_real: -0.017964 Loss_D_fake 0.007429
[518/5000][425/535][53257] Loss_D: -0.025241 Loss_G: 0.040098 Loss_D_real: -0.035992 Loss_D_fake -0.010751
[518/5000][430/535][53258] Loss_D: -0.026862 Loss_G: 0.002844 Loss_D_real: -0.006867 Loss_D_fake 0.019995
[518/5000][435/535][53259] Loss_D: -0.025634 Loss_G: -0.003032 Loss_D_real: -0.016407 Loss_D_fake 0.009227
[518/5000][440/535][53260] Loss_D: -0.026140 Loss_G: -0.006630 Loss_D_real: -0.010795 Loss_D_fake 0.015345
[518/5000][445/535][53261] Loss_D: -0.026723 Loss_G: 0.020347 Loss_D_real: -0.027152 Loss_D_fake -0.000430
[518/5000][450/535][53262] Loss_D: -0.027453 Loss_G: 0.010278 Loss_D_real: -0.015846 Loss_D_fake 0.011607
[518/5000][455/535][53263] Loss_D: -0.025918 Loss_G: 0.030533 Loss_D_real: -0.022516 Loss_D_fake 0.003402
[518/5000][460/535][53264] Loss_D: -0.027013 Loss_G: -0.003945 Loss_D_real: -0.004478 Loss_D_fake 0.022535
[518/5000][465/535][53265] Loss_D: -0.026653 Loss_G: 0.009523 Loss_D_real: -0.007895 Loss_D_fake 0.018757
[518/5000][470/535][53266] Loss_D: -0.025485 Loss_G: 0.025099 Loss_D_real: -0.026378 Loss_D_fake -0.000893
[518/5000][475/535][53267] Loss_D: -0.025728 Loss_G: 0.027495 Loss_D_real: -0.032245 Loss_D_fake -0.006517
[518/5000][480/535][53268] Loss_D: -0.028565 Loss_G: 0.015698 Loss_D_real: -0.015820 Loss_D_fake 0.012745
[518/5000][485/535][53269] Loss_D: -0.023342 Loss_G: 0.040029 Loss_D_real: -0.036193 Loss_D_fake -0.012851
[518/5000][490/535][53270] Loss_D: -0.027277 Loss_G: 0.010098 Loss_D_real: -0.015355 Loss_D_fake 0.011923
[518/5000][495/535][53271] Loss_D: -0.026842 Loss_G: 0.001298 Loss_D_real: -0.001239 Loss_D_fake 0.025603
[518/5000][500/535][53272] Loss_D: -0.025105 Loss_G: 0.012943 Loss_D_real: -0.002021 Loss_D_fake 0.023084
[518/5000][505/535][53273] Loss_D: -0.025861 Loss_G: -0.004940 Loss_D_real: -0.004760 Loss_D_fake 0.021101
[518/5000][510/535][53274] Loss_D: -0.025392 Loss_G: 0.030012 Loss_D_real: -0.023457 Loss_D_fake 0.001935
[518/5000][515/535][53275] Loss_D: -0.025932 Loss_G: 0.022498 Loss_D_real: -0.025346 Loss_D_fake 0.000586
[518/5000][520/535][53276] Loss_D: -0.025218 Loss_G: -0.006429 Loss_D_real: -0.005048 Loss_D_fake 0.020170
[518/5000][525/535][53277] Loss_D: -0.023717 Loss_G: 0.031119 Loss_D_real: -0.031515 Loss_D_fake -0.007798
[518/5000][530/535][53278] Loss_D: -0.025744 Loss_G: 0.006989 Loss_D_real: -0.013303 Loss_D_fake 0.012441
[518/5000][535/535][53279] Loss_D: -0.027573 Loss_G: 0.027316 Loss_D_real: -0.024280 Loss_D_fake 0.003293
[519/5000][5/535][53280] Loss_D: -0.025821 Loss_G: 0.001791 Loss_D_real: -0.019014 Loss_D_fake 0.006807
[519/5000][10/535][53281] Loss_D: -0.025028 Loss_G: 0.019647 Loss_D_real: -0.022542 Loss_D_fake 0.002485
[519/5000][15/535][53282] Loss_D: -0.027391 Loss_G: 0.017120 Loss_D_real: -0.014122 Loss_D_fake 0.013269
[519/5000][20/535][53283] Loss_D: -0.025675 Loss_G: 0.028784 Loss_D_real: -0.026638 Loss_D_fake -0.000963
[519/5000][25/535][53284] Loss_D: -0.026337 Loss_G: -0.004196 Loss_D_real: -0.010394 Loss_D_fake 0.015943
[519/5000][30/535][53285] Loss_D: -0.025655 Loss_G: 0.007889 Loss_D_real: -0.018271 Loss_D_fake 0.007385
[519/5000][35/535][53286] Loss_D: -0.027093 Loss_G: 0.002757 Loss_D_real: -0.011956 Loss_D_fake 0.015137
[519/5000][40/535][53287] Loss_D: -0.027116 Loss_G: 0.001603 Loss_D_real: -0.008379 Loss_D_fake 0.018737
[519/5000][45/535][53288] Loss_D: -0.025762 Loss_G: 0.011604 Loss_D_real: -0.017876 Loss_D_fake 0.007885
[519/5000][50/535][53289] Loss_D: -0.025672 Loss_G: 0.018279 Loss_D_real: -0.026755 Loss_D_fake -0.001083
[519/5000][55/535][53290] Loss_D: -0.026261 Loss_G: 0.037177 Loss_D_real: -0.031744 Loss_D_fake -0.005483
[519/5000][60/535][53291] Loss_D: -0.025398 Loss_G: 0.007705 Loss_D_real: -0.005935 Loss_D_fake 0.019462
[519/5000][65/535][53292] Loss_D: -0.026375 Loss_G: -0.003872 Loss_D_real: -0.004659 Loss_D_fake 0.021715
[519/5000][70/535][53293] Loss_D: -0.024880 Loss_G: 0.004707 Loss_D_real: -0.011679 Loss_D_fake 0.013200
[519/5000][75/535][53294] Loss_D: -0.027162 Loss_G: 0.008406 Loss_D_real: -0.016486 Loss_D_fake 0.010676
[519/5000][80/535][53295] Loss_D: -0.026740 Loss_G: 0.001356 Loss_D_real: 0.002652 Loss_D_fake 0.029392
[519/5000][85/535][53296] Loss_D: -0.026014 Loss_G: 0.003535 Loss_D_real: -0.007140 Loss_D_fake 0.018874
[519/5000][90/535][53297] Loss_D: -0.026642 Loss_G: -0.000744 Loss_D_real: -0.007996 Loss_D_fake 0.018646
[519/5000][95/535][53298] Loss_D: -0.025055 Loss_G: 0.013027 Loss_D_real: -0.020162 Loss_D_fake 0.004893
[519/5000][100/535][53299] Loss_D: -0.026862 Loss_G: 0.012223 Loss_D_real: -0.018559 Loss_D_fake 0.008303
[519/5000][105/535][53300] Loss_D: -0.026804 Loss_G: 0.020566 Loss_D_real: -0.022245 Loss_D_fake 0.004559
[519/5000][110/535][53301] Loss_D: -0.025896 Loss_G: -0.011215 Loss_D_real: -0.005587 Loss_D_fake 0.020309
[519/5000][115/535][53302] Loss_D: -0.025768 Loss_G: 0.020397 Loss_D_real: -0.016517 Loss_D_fake 0.009251
[519/5000][120/535][53303] Loss_D: -0.026194 Loss_G: -0.009814 Loss_D_real: -0.006407 Loss_D_fake 0.019786
[519/5000][125/535][53304] Loss_D: -0.026541 Loss_G: 0.021491 Loss_D_real: -0.027375 Loss_D_fake -0.000834
[519/5000][130/535][53305] Loss_D: -0.026104 Loss_G: -0.002343 Loss_D_real: -0.007742 Loss_D_fake 0.018362
[519/5000][135/535][53306] Loss_D: -0.025899 Loss_G: 0.027580 Loss_D_real: -0.023286 Loss_D_fake 0.002613
[519/5000][140/535][53307] Loss_D: -0.026618 Loss_G: 0.009382 Loss_D_real: -0.012040 Loss_D_fake 0.014578
[519/5000][145/535][53308] Loss_D: -0.026203 Loss_G: 0.032298 Loss_D_real: -0.021324 Loss_D_fake 0.004879
[519/5000][150/535][53309] Loss_D: -0.024553 Loss_G: 0.034902 Loss_D_real: -0.035714 Loss_D_fake -0.011161
[519/5000][155/535][53310] Loss_D: -0.026041 Loss_G: 0.022744 Loss_D_real: -0.032775 Loss_D_fake -0.006734
[519/5000][160/535][53311] Loss_D: -0.027463 Loss_G: 0.011633 Loss_D_real: -0.012724 Loss_D_fake 0.014739
[519/5000][165/535][53312] Loss_D: -0.025223 Loss_G: 0.016276 Loss_D_real: -0.019126 Loss_D_fake 0.006097
[519/5000][170/535][53313] Loss_D: -0.026214 Loss_G: 0.026397 Loss_D_real: -0.029328 Loss_D_fake -0.003114
[519/5000][175/535][53314] Loss_D: -0.027321 Loss_G: 0.001550 Loss_D_real: -0.015982 Loss_D_fake 0.011339
[519/5000][180/535][53315] Loss_D: -0.027118 Loss_G: 0.013104 Loss_D_real: -0.011963 Loss_D_fake 0.015155
[519/5000][185/535][53316] Loss_D: -0.027904 Loss_G: 0.024540 Loss_D_real: -0.018695 Loss_D_fake 0.009209
[519/5000][190/535][53317] Loss_D: -0.026647 Loss_G: 0.008753 Loss_D_real: -0.005300 Loss_D_fake 0.021347
[519/5000][195/535][53318] Loss_D: -0.026945 Loss_G: 0.019873 Loss_D_real: -0.018820 Loss_D_fake 0.008124
[519/5000][200/535][53319] Loss_D: -0.023428 Loss_G: -0.023460 Loss_D_real: 0.010042 Loss_D_fake 0.033470
[519/5000][205/535][53320] Loss_D: -0.025424 Loss_G: 0.001117 Loss_D_real: -0.013424 Loss_D_fake 0.011999
[519/5000][210/535][53321] Loss_D: -0.025645 Loss_G: 0.025893 Loss_D_real: -0.026883 Loss_D_fake -0.001238
[519/5000][215/535][53322] Loss_D: -0.025922 Loss_G: -0.001755 Loss_D_real: -0.004057 Loss_D_fake 0.021865
[519/5000][220/535][53323] Loss_D: -0.026015 Loss_G: 0.030572 Loss_D_real: -0.030983 Loss_D_fake -0.004969
[519/5000][225/535][53324] Loss_D: -0.024953 Loss_G: -0.011864 Loss_D_real: 0.003986 Loss_D_fake 0.028939
[519/5000][230/535][53325] Loss_D: -0.026316 Loss_G: 0.021686 Loss_D_real: -0.034171 Loss_D_fake -0.007855
[519/5000][235/535][53326] Loss_D: -0.025488 Loss_G: 0.013863 Loss_D_real: -0.011987 Loss_D_fake 0.013501
[519/5000][240/535][53327] Loss_D: -0.026299 Loss_G: 0.013745 Loss_D_real: -0.013661 Loss_D_fake 0.012638
[519/5000][245/535][53328] Loss_D: -0.028285 Loss_G: -0.000177 Loss_D_real: -0.007015 Loss_D_fake 0.021270
[519/5000][250/535][53329] Loss_D: -0.026155 Loss_G: 0.010344 Loss_D_real: -0.018913 Loss_D_fake 0.007242
[519/5000][255/535][53330] Loss_D: -0.027876 Loss_G: 0.025349 Loss_D_real: -0.016345 Loss_D_fake 0.011531
[519/5000][260/535][53331] Loss_D: -0.024916 Loss_G: 0.025918 Loss_D_real: -0.028761 Loss_D_fake -0.003845
[519/5000][265/535][53332] Loss_D: -0.027095 Loss_G: 0.034329 Loss_D_real: -0.021558 Loss_D_fake 0.005537
[519/5000][270/535][53333] Loss_D: -0.026116 Loss_G: 0.008485 Loss_D_real: -0.010182 Loss_D_fake 0.015934
[519/5000][275/535][53334] Loss_D: -0.026526 Loss_G: 0.014994 Loss_D_real: -0.022266 Loss_D_fake 0.004260
[519/5000][280/535][53335] Loss_D: -0.025467 Loss_G: 0.021942 Loss_D_real: -0.019356 Loss_D_fake 0.006111
[519/5000][285/535][53336] Loss_D: -0.024471 Loss_G: 0.016660 Loss_D_real: -0.010153 Loss_D_fake 0.014318
[519/5000][290/535][53337] Loss_D: -0.025459 Loss_G: -0.000233 Loss_D_real: -0.011411 Loss_D_fake 0.014048
[519/5000][295/535][53338] Loss_D: -0.025631 Loss_G: -0.003334 Loss_D_real: -0.001376 Loss_D_fake 0.024255
[519/5000][300/535][53339] Loss_D: -0.026417 Loss_G: 0.016735 Loss_D_real: -0.033804 Loss_D_fake -0.007388
[519/5000][305/535][53340] Loss_D: -0.027438 Loss_G: 0.023350 Loss_D_real: -0.020353 Loss_D_fake 0.007085
[519/5000][310/535][53341] Loss_D: -0.026283 Loss_G: 0.017924 Loss_D_real: -0.019429 Loss_D_fake 0.006853
[519/5000][315/535][53342] Loss_D: -0.025889 Loss_G: 0.022834 Loss_D_real: -0.023966 Loss_D_fake 0.001923
[519/5000][320/535][53343] Loss_D: -0.026685 Loss_G: 0.023677 Loss_D_real: -0.034241 Loss_D_fake -0.007556
[519/5000][325/535][53344] Loss_D: -0.027131 Loss_G: 0.005762 Loss_D_real: -0.035369 Loss_D_fake -0.008238
[519/5000][330/535][53345] Loss_D: -0.025378 Loss_G: 0.026283 Loss_D_real: -0.030297 Loss_D_fake -0.004919
[519/5000][335/535][53346] Loss_D: -0.025324 Loss_G: 0.027660 Loss_D_real: -0.024060 Loss_D_fake 0.001264
[519/5000][340/535][53347] Loss_D: -0.026101 Loss_G: -0.003323 Loss_D_real: 0.001093 Loss_D_fake 0.027194
[519/5000][345/535][53348] Loss_D: -0.024273 Loss_G: 0.030900 Loss_D_real: -0.038133 Loss_D_fake -0.013860
[519/5000][350/535][53349] Loss_D: -0.027630 Loss_G: 0.014424 Loss_D_real: -0.011347 Loss_D_fake 0.016283
[519/5000][355/535][53350] Loss_D: -0.027234 Loss_G: -0.020243 Loss_D_real: -0.001423 Loss_D_fake 0.025811
[519/5000][360/535][53351] Loss_D: -0.027286 Loss_G: 0.011990 Loss_D_real: -0.015978 Loss_D_fake 0.011308
[519/5000][365/535][53352] Loss_D: -0.025266 Loss_G: 0.006348 Loss_D_real: -0.012949 Loss_D_fake 0.012317
[519/5000][370/535][53353] Loss_D: -0.026503 Loss_G: 0.023811 Loss_D_real: -0.025214 Loss_D_fake 0.001288
[519/5000][375/535][53354] Loss_D: -0.026714 Loss_G: 0.019799 Loss_D_real: -0.008488 Loss_D_fake 0.018225
[519/5000][380/535][53355] Loss_D: -0.025126 Loss_G: -0.004415 Loss_D_real: -0.002003 Loss_D_fake 0.023122
[519/5000][385/535][53356] Loss_D: -0.024905 Loss_G: 0.003351 Loss_D_real: -0.007905 Loss_D_fake 0.017001
[519/5000][390/535][53357] Loss_D: -0.026240 Loss_G: 0.015925 Loss_D_real: -0.013898 Loss_D_fake 0.012342
[519/5000][395/535][53358] Loss_D: -0.027465 Loss_G: -0.000460 Loss_D_real: -0.005946 Loss_D_fake 0.021519
[519/5000][400/535][53359] Loss_D: -0.025961 Loss_G: 0.023706 Loss_D_real: -0.022582 Loss_D_fake 0.003379
[519/5000][405/535][53360] Loss_D: -0.026076 Loss_G: 0.021898 Loss_D_real: -0.024011 Loss_D_fake 0.002065
[519/5000][410/535][53361] Loss_D: -0.025341 Loss_G: -0.002920 Loss_D_real: 0.001183 Loss_D_fake 0.026524
[519/5000][415/535][53362] Loss_D: -0.026360 Loss_G: 0.014890 Loss_D_real: -0.022157 Loss_D_fake 0.004203
[519/5000][420/535][53363] Loss_D: -0.027328 Loss_G: 0.016847 Loss_D_real: -0.015275 Loss_D_fake 0.012053
[519/5000][425/535][53364] Loss_D: -0.026600 Loss_G: -0.003130 Loss_D_real: 0.004075 Loss_D_fake 0.030675
[519/5000][430/535][53365] Loss_D: -0.026360 Loss_G: 0.024974 Loss_D_real: -0.023926 Loss_D_fake 0.002435
[519/5000][435/535][53366] Loss_D: -0.026573 Loss_G: -0.001269 Loss_D_real: -0.007643 Loss_D_fake 0.018930
[519/5000][440/535][53367] Loss_D: -0.024723 Loss_G: -0.018870 Loss_D_real: 0.003226 Loss_D_fake 0.027948
[519/5000][445/535][53368] Loss_D: -0.026558 Loss_G: 0.019462 Loss_D_real: -0.019953 Loss_D_fake 0.006605
[519/5000][450/535][53369] Loss_D: -0.025581 Loss_G: 0.002180 Loss_D_real: -0.008204 Loss_D_fake 0.017377
[519/5000][455/535][53370] Loss_D: -0.026052 Loss_G: 0.015087 Loss_D_real: -0.012822 Loss_D_fake 0.013230
[519/5000][460/535][53371] Loss_D: -0.026245 Loss_G: 0.011098 Loss_D_real: -0.005013 Loss_D_fake 0.021232
[519/5000][465/535][53372] Loss_D: -0.026668 Loss_G: -0.000981 Loss_D_real: 0.000342 Loss_D_fake 0.027010
[519/5000][470/535][53373] Loss_D: -0.027063 Loss_G: 0.009992 Loss_D_real: -0.010971 Loss_D_fake 0.016092
[519/5000][475/535][53374] Loss_D: -0.025503 Loss_G: 0.035253 Loss_D_real: -0.031950 Loss_D_fake -0.006447
[519/5000][480/535][53375] Loss_D: -0.026823 Loss_G: 0.011948 Loss_D_real: -0.010724 Loss_D_fake 0.016099
[519/5000][485/535][53376] Loss_D: -0.024190 Loss_G: 0.039958 Loss_D_real: -0.033454 Loss_D_fake -0.009264
[519/5000][490/535][53377] Loss_D: -0.025938 Loss_G: 0.036889 Loss_D_real: -0.028046 Loss_D_fake -0.002108
[519/5000][495/535][53378] Loss_D: -0.026589 Loss_G: -0.001339 Loss_D_real: -0.004113 Loss_D_fake 0.022475
[519/5000][500/535][53379] Loss_D: -0.025444 Loss_G: 0.006464 Loss_D_real: -0.014467 Loss_D_fake 0.010977
[519/5000][505/535][53380] Loss_D: -0.026746 Loss_G: 0.010295 Loss_D_real: -0.016932 Loss_D_fake 0.009814
[519/5000][510/535][53381] Loss_D: -0.026242 Loss_G: 0.002469 Loss_D_real: -0.015417 Loss_D_fake 0.010825
[519/5000][515/535][53382] Loss_D: -0.026073 Loss_G: 0.028633 Loss_D_real: -0.022603 Loss_D_fake 0.003470
[519/5000][520/535][53383] Loss_D: -0.026071 Loss_G: 0.000533 Loss_D_real: -0.004397 Loss_D_fake 0.021674
[519/5000][525/535][53384] Loss_D: -0.026118 Loss_G: 0.007177 Loss_D_real: -0.017581 Loss_D_fake 0.008537
[519/5000][530/535][53385] Loss_D: -0.025660 Loss_G: 0.018088 Loss_D_real: -0.010683 Loss_D_fake 0.014977
[519/5000][535/535][53386] Loss_D: -0.026724 Loss_G: -0.001847 Loss_D_real: -0.014729 Loss_D_fake 0.011996
[520/5000][5/535][53387] Loss_D: -0.027043 Loss_G: 0.018377 Loss_D_real: -0.025618 Loss_D_fake 0.001425
[520/5000][10/535][53388] Loss_D: -0.027192 Loss_G: 0.025679 Loss_D_real: -0.015157 Loss_D_fake 0.012035
[520/5000][15/535][53389] Loss_D: -0.026686 Loss_G: 0.012149 Loss_D_real: -0.020155 Loss_D_fake 0.006532
[520/5000][20/535][53390] Loss_D: -0.024859 Loss_G: 0.004527 Loss_D_real: -0.013608 Loss_D_fake 0.011251
[520/5000][25/535][53391] Loss_D: -0.026625 Loss_G: 0.024445 Loss_D_real: -0.020899 Loss_D_fake 0.005726
[520/5000][30/535][53392] Loss_D: -0.026707 Loss_G: 0.008520 Loss_D_real: -0.012849 Loss_D_fake 0.013858
[520/5000][35/535][53393] Loss_D: -0.026852 Loss_G: 0.019504 Loss_D_real: -0.024633 Loss_D_fake 0.002219
[520/5000][40/535][53394] Loss_D: -0.025925 Loss_G: -0.012130 Loss_D_real: -0.007069 Loss_D_fake 0.018856
[520/5000][45/535][53395] Loss_D: -0.024510 Loss_G: 0.031140 Loss_D_real: -0.029285 Loss_D_fake -0.004775
[520/5000][50/535][53396] Loss_D: -0.025537 Loss_G: 0.000833 Loss_D_real: -0.009926 Loss_D_fake 0.015611
[520/5000][55/535][53397] Loss_D: -0.025942 Loss_G: 0.008173 Loss_D_real: -0.017310 Loss_D_fake 0.008632
[520/5000][60/535][53398] Loss_D: -0.024638 Loss_G: 0.020962 Loss_D_real: -0.018704 Loss_D_fake 0.005934
[520/5000][65/535][53399] Loss_D: -0.025910 Loss_G: -0.002688 Loss_D_real: -0.014067 Loss_D_fake 0.011843
[520/5000][70/535][53400] Loss_D: -0.023577 Loss_G: 0.041914 Loss_D_real: -0.045075 Loss_D_fake -0.021498
[520/5000][75/535][53401] Loss_D: -0.025340 Loss_G: 0.010520 Loss_D_real: -0.008990 Loss_D_fake 0.016350
[520/5000][80/535][53402] Loss_D: -0.025885 Loss_G: 0.018206 Loss_D_real: -0.023923 Loss_D_fake 0.001962
[520/5000][85/535][53403] Loss_D: -0.026684 Loss_G: 0.021577 Loss_D_real: -0.026758 Loss_D_fake -0.000074
[520/5000][90/535][53404] Loss_D: -0.026723 Loss_G: -0.003111 Loss_D_real: -0.002204 Loss_D_fake 0.024518
[520/5000][95/535][53405] Loss_D: -0.027122 Loss_G: 0.015769 Loss_D_real: -0.025996 Loss_D_fake 0.001127
[520/5000][100/535][53406] Loss_D: -0.027147 Loss_G: 0.037191 Loss_D_real: -0.037890 Loss_D_fake -0.010744
[520/5000][105/535][53407] Loss_D: -0.028118 Loss_G: -0.003828 Loss_D_real: 0.011412 Loss_D_fake 0.039530
[520/5000][110/535][53408] Loss_D: -0.025254 Loss_G: 0.024793 Loss_D_real: -0.018680 Loss_D_fake 0.006575
[520/5000][115/535][53409] Loss_D: -0.026209 Loss_G: 0.008940 Loss_D_real: -0.021220 Loss_D_fake 0.004989
[520/5000][120/535][53410] Loss_D: -0.027195 Loss_G: 0.001004 Loss_D_real: -0.006021 Loss_D_fake 0.021174
[520/5000][125/535][53411] Loss_D: -0.026047 Loss_G: 0.006428 Loss_D_real: -0.019553 Loss_D_fake 0.006494
[520/5000][130/535][53412] Loss_D: -0.026095 Loss_G: 0.011475 Loss_D_real: -0.007020 Loss_D_fake 0.019076
[520/5000][135/535][53413] Loss_D: -0.025218 Loss_G: 0.015402 Loss_D_real: -0.015566 Loss_D_fake 0.009652
[520/5000][140/535][53414] Loss_D: -0.024855 Loss_G: -0.019080 Loss_D_real: 0.000682 Loss_D_fake 0.025537
[520/5000][145/535][53415] Loss_D: -0.023302 Loss_G: 0.026548 Loss_D_real: -0.028364 Loss_D_fake -0.005062
[520/5000][150/535][53416] Loss_D: -0.026003 Loss_G: 0.023356 Loss_D_real: -0.017407 Loss_D_fake 0.008596
[520/5000][155/535][53417] Loss_D: -0.026793 Loss_G: 0.027050 Loss_D_real: -0.014389 Loss_D_fake 0.012404
[520/5000][160/535][53418] Loss_D: -0.025709 Loss_G: -0.005747 Loss_D_real: -0.002732 Loss_D_fake 0.022976
[520/5000][165/535][53419] Loss_D: -0.026016 Loss_G: 0.027605 Loss_D_real: -0.035766 Loss_D_fake -0.009751
[520/5000][170/535][53420] Loss_D: -0.026933 Loss_G: -0.001815 Loss_D_real: 0.005254 Loss_D_fake 0.032187
[520/5000][175/535][53421] Loss_D: -0.025993 Loss_G: 0.021897 Loss_D_real: -0.023392 Loss_D_fake 0.002602
[520/5000][180/535][53422] Loss_D: -0.025210 Loss_G: -0.006066 Loss_D_real: -0.000721 Loss_D_fake 0.024489
[520/5000][185/535][53423] Loss_D: -0.024976 Loss_G: 0.025050 Loss_D_real: -0.025886 Loss_D_fake -0.000910
[520/5000][190/535][53424] Loss_D: -0.026868 Loss_G: 0.014834 Loss_D_real: -0.014967 Loss_D_fake 0.011901
[520/5000][195/535][53425] Loss_D: -0.026170 Loss_G: 0.017644 Loss_D_real: -0.019813 Loss_D_fake 0.006357
[520/5000][200/535][53426] Loss_D: -0.026615 Loss_G: 0.010842 Loss_D_real: -0.015003 Loss_D_fake 0.011612
[520/5000][205/535][53427] Loss_D: -0.026371 Loss_G: 0.000171 Loss_D_real: -0.012139 Loss_D_fake 0.014232
[520/5000][210/535][53428] Loss_D: -0.027626 Loss_G: 0.022229 Loss_D_real: -0.020331 Loss_D_fake 0.007294
[520/5000][215/535][53429] Loss_D: -0.026209 Loss_G: -0.003176 Loss_D_real: -0.004492 Loss_D_fake 0.021717
[520/5000][220/535][53430] Loss_D: -0.026576 Loss_G: 0.028266 Loss_D_real: -0.017029 Loss_D_fake 0.009547
[520/5000][225/535][53431] Loss_D: -0.026902 Loss_G: 0.010646 Loss_D_real: -0.016024 Loss_D_fake 0.010878
[520/5000][230/535][53432] Loss_D: -0.024812 Loss_G: 0.006674 Loss_D_real: -0.012320 Loss_D_fake 0.012492
[520/5000][235/535][53433] Loss_D: -0.027160 Loss_G: 0.007770 Loss_D_real: -0.010789 Loss_D_fake 0.016371
[520/5000][240/535][53434] Loss_D: -0.027032 Loss_G: -0.007875 Loss_D_real: -0.008069 Loss_D_fake 0.018963
[520/5000][245/535][53435] Loss_D: -0.025710 Loss_G: -0.009982 Loss_D_real: -0.009030 Loss_D_fake 0.016680
[520/5000][250/535][53436] Loss_D: -0.027661 Loss_G: 0.034935 Loss_D_real: -0.022514 Loss_D_fake 0.005147
[520/5000][255/535][53437] Loss_D: -0.027106 Loss_G: 0.029512 Loss_D_real: -0.022431 Loss_D_fake 0.004675
[520/5000][260/535][53438] Loss_D: -0.025960 Loss_G: 0.018497 Loss_D_real: -0.014788 Loss_D_fake 0.011172
[520/5000][265/535][53439] Loss_D: -0.024910 Loss_G: -0.004999 Loss_D_real: -0.012852 Loss_D_fake 0.012058
[520/5000][270/535][53440] Loss_D: -0.025424 Loss_G: -0.005965 Loss_D_real: -0.003362 Loss_D_fake 0.022062
[520/5000][275/535][53441] Loss_D: -0.026681 Loss_G: 0.020676 Loss_D_real: -0.033075 Loss_D_fake -0.006393
[520/5000][280/535][53442] Loss_D: -0.025819 Loss_G: 0.012887 Loss_D_real: -0.004167 Loss_D_fake 0.021652
[520/5000][285/535][53443] Loss_D: -0.026264 Loss_G: 0.009580 Loss_D_real: -0.014157 Loss_D_fake 0.012106
[520/5000][290/535][53444] Loss_D: -0.027090 Loss_G: 0.013186 Loss_D_real: -0.020303 Loss_D_fake 0.006787
[520/5000][295/535][53445] Loss_D: -0.024869 Loss_G: 0.031972 Loss_D_real: -0.038705 Loss_D_fake -0.013835
[520/5000][300/535][53446] Loss_D: -0.025467 Loss_G: -0.008403 Loss_D_real: 0.000206 Loss_D_fake 0.025673
[520/5000][305/535][53447] Loss_D: -0.023932 Loss_G: 0.016018 Loss_D_real: -0.026407 Loss_D_fake -0.002475
[520/5000][310/535][53448] Loss_D: -0.025638 Loss_G: 0.005500 Loss_D_real: -0.018536 Loss_D_fake 0.007102
[520/5000][315/535][53449] Loss_D: -0.024616 Loss_G: 0.013815 Loss_D_real: -0.015438 Loss_D_fake 0.009178
[520/5000][320/535][53450] Loss_D: -0.024374 Loss_G: 0.029778 Loss_D_real: -0.029774 Loss_D_fake -0.005400
[520/5000][325/535][53451] Loss_D: -0.026636 Loss_G: 0.020714 Loss_D_real: -0.017916 Loss_D_fake 0.008720
[520/5000][330/535][53452] Loss_D: -0.026309 Loss_G: 0.023411 Loss_D_real: -0.016537 Loss_D_fake 0.009772
[520/5000][335/535][53453] Loss_D: -0.027202 Loss_G: 0.027382 Loss_D_real: -0.016474 Loss_D_fake 0.010728
[520/5000][340/535][53454] Loss_D: -0.025127 Loss_G: -0.003611 Loss_D_real: -0.001254 Loss_D_fake 0.023873
[520/5000][345/535][53455] Loss_D: -0.027437 Loss_G: 0.030058 Loss_D_real: -0.016985 Loss_D_fake 0.010452
[520/5000][350/535][53456] Loss_D: -0.028344 Loss_G: 0.027466 Loss_D_real: -0.025616 Loss_D_fake 0.002727
[520/5000][355/535][53457] Loss_D: -0.027293 Loss_G: -0.007687 Loss_D_real: 0.004389 Loss_D_fake 0.031681
[520/5000][360/535][53458] Loss_D: -0.026864 Loss_G: 0.019966 Loss_D_real: -0.019631 Loss_D_fake 0.007233
[520/5000][365/535][53459] Loss_D: -0.026569 Loss_G: 0.000405 Loss_D_real: -0.004683 Loss_D_fake 0.021886
[520/5000][370/535][53460] Loss_D: -0.026760 Loss_G: 0.012653 Loss_D_real: -0.015664 Loss_D_fake 0.011096
[520/5000][375/535][53461] Loss_D: -0.026774 Loss_G: 0.014629 Loss_D_real: -0.017976 Loss_D_fake 0.008798
[520/5000][380/535][53462] Loss_D: -0.027118 Loss_G: 0.024938 Loss_D_real: -0.022788 Loss_D_fake 0.004330
[520/5000][385/535][53463] Loss_D: -0.025950 Loss_G: -0.000939 Loss_D_real: -0.002123 Loss_D_fake 0.023828
[520/5000][390/535][53464] Loss_D: -0.027511 Loss_G: 0.017257 Loss_D_real: -0.020678 Loss_D_fake 0.006833
[520/5000][395/535][53465] Loss_D: -0.026592 Loss_G: 0.015782 Loss_D_real: -0.005114 Loss_D_fake 0.021478
[520/5000][400/535][53466] Loss_D: -0.026002 Loss_G: 0.025320 Loss_D_real: -0.025799 Loss_D_fake 0.000203
[520/5000][405/535][53467] Loss_D: -0.026180 Loss_G: -0.001242 Loss_D_real: -0.008911 Loss_D_fake 0.017269
[520/5000][410/535][53468] Loss_D: -0.026526 Loss_G: 0.015829 Loss_D_real: -0.020501 Loss_D_fake 0.006025
[520/5000][415/535][53469] Loss_D: -0.025712 Loss_G: 0.003410 Loss_D_real: -0.007495 Loss_D_fake 0.018217
[520/5000][420/535][53470] Loss_D: -0.026260 Loss_G: 0.041834 Loss_D_real: -0.021578 Loss_D_fake 0.004682
[520/5000][425/535][53471] Loss_D: -0.026425 Loss_G: -0.002157 Loss_D_real: -0.006513 Loss_D_fake 0.019913
[520/5000][430/535][53472] Loss_D: -0.026644 Loss_G: 0.011385 Loss_D_real: -0.001260 Loss_D_fake 0.025384
[520/5000][435/535][53473] Loss_D: -0.025464 Loss_G: -0.003204 Loss_D_real: -0.010159 Loss_D_fake 0.015305
[520/5000][440/535][53474] Loss_D: -0.027821 Loss_G: 0.013460 Loss_D_real: -0.015675 Loss_D_fake 0.012145
[520/5000][445/535][53475] Loss_D: -0.026101 Loss_G: 0.034778 Loss_D_real: -0.026504 Loss_D_fake -0.000403
[520/5000][450/535][53476] Loss_D: -0.025867 Loss_G: 0.024188 Loss_D_real: -0.027012 Loss_D_fake -0.001145
[520/5000][455/535][53477] Loss_D: -0.025926 Loss_G: 0.030378 Loss_D_real: -0.019439 Loss_D_fake 0.006488
[520/5000][460/535][53478] Loss_D: -0.027191 Loss_G: -0.002413 Loss_D_real: -0.010135 Loss_D_fake 0.017056
[520/5000][465/535][53479] Loss_D: -0.025425 Loss_G: 0.025434 Loss_D_real: -0.026553 Loss_D_fake -0.001128
[520/5000][470/535][53480] Loss_D: -0.026671 Loss_G: 0.009228 Loss_D_real: -0.008926 Loss_D_fake 0.017745
[520/5000][475/535][53481] Loss_D: -0.026090 Loss_G: 0.021401 Loss_D_real: -0.023318 Loss_D_fake 0.002773
[520/5000][480/535][53482] Loss_D: -0.025950 Loss_G: 0.033964 Loss_D_real: -0.031460 Loss_D_fake -0.005510
[520/5000][485/535][53483] Loss_D: -0.026244 Loss_G: -0.001601 Loss_D_real: -0.003330 Loss_D_fake 0.022914
[520/5000][490/535][53484] Loss_D: -0.025142 Loss_G: 0.014137 Loss_D_real: -0.017202 Loss_D_fake 0.007940
[520/5000][495/535][53485] Loss_D: -0.025379 Loss_G: -0.001814 Loss_D_real: -0.016194 Loss_D_fake 0.009185
[520/5000][500/535][53486] Loss_D: -0.026076 Loss_G: -0.009575 Loss_D_real: -0.001043 Loss_D_fake 0.025033
[520/5000][505/535][53487] Loss_D: -0.025131 Loss_G: 0.001334 Loss_D_real: -0.009807 Loss_D_fake 0.015324
[520/5000][510/535][53488] Loss_D: -0.024618 Loss_G: -0.011321 Loss_D_real: 0.005821 Loss_D_fake 0.030439
[520/5000][515/535][53489] Loss_D: -0.025762 Loss_G: 0.007279 Loss_D_real: -0.016449 Loss_D_fake 0.009313
[520/5000][520/535][53490] Loss_D: -0.026169 Loss_G: 0.028973 Loss_D_real: -0.023721 Loss_D_fake 0.002447
[520/5000][525/535][53491] Loss_D: -0.026794 Loss_G: 0.006075 Loss_D_real: -0.010068 Loss_D_fake 0.016726
[520/5000][530/535][53492] Loss_D: -0.026342 Loss_G: 0.031709 Loss_D_real: -0.030663 Loss_D_fake -0.004321
[520/5000][535/535][53493] Loss_D: -0.023745 Loss_G: -0.005178 Loss_D_real: -0.006710 Loss_D_fake 0.017035
[521/5000][5/535][53494] Loss_D: -0.025791 Loss_G: 0.013027 Loss_D_real: -0.020409 Loss_D_fake 0.005382
[521/5000][10/535][53495] Loss_D: -0.026446 Loss_G: 0.021096 Loss_D_real: -0.011707 Loss_D_fake 0.014739
[521/5000][15/535][53496] Loss_D: -0.026410 Loss_G: 0.031508 Loss_D_real: -0.029293 Loss_D_fake -0.002883
[521/5000][20/535][53497] Loss_D: -0.026428 Loss_G: 0.008046 Loss_D_real: -0.016947 Loss_D_fake 0.009481
[521/5000][25/535][53498] Loss_D: -0.025002 Loss_G: -0.005018 Loss_D_real: -0.002203 Loss_D_fake 0.022799
[521/5000][30/535][53499] Loss_D: -0.025393 Loss_G: 0.020116 Loss_D_real: -0.033819 Loss_D_fake -0.008427
[521/5000][35/535][53500] Loss_D: -0.026857 Loss_G: -0.004293 Loss_D_real: -0.003904 Loss_D_fake 0.022952
[521/5000][135/535][53501] Loss_D: -0.026915 Loss_G: 0.021359 Loss_D_real: -0.017647 Loss_D_fake 0.009268
[521/5000][140/535][53502] Loss_D: -0.026952 Loss_G: 0.012056 Loss_D_real: -0.004800 Loss_D_fake 0.022152
[521/5000][145/535][53503] Loss_D: -0.024822 Loss_G: 0.020436 Loss_D_real: -0.010036 Loss_D_fake 0.014786
[521/5000][150/535][53504] Loss_D: -0.024183 Loss_G: 0.004222 Loss_D_real: -0.017412 Loss_D_fake 0.006772
[521/5000][155/535][53505] Loss_D: -0.024496 Loss_G: 0.009653 Loss_D_real: -0.021088 Loss_D_fake 0.003408
[521/5000][160/535][53506] Loss_D: -0.025553 Loss_G: -0.004877 Loss_D_real: -0.016663 Loss_D_fake 0.008889
[521/5000][165/535][53507] Loss_D: -0.026402 Loss_G: 0.022911 Loss_D_real: -0.021671 Loss_D_fake 0.004731
[521/5000][170/535][53508] Loss_D: -0.024336 Loss_G: 0.007273 Loss_D_real: -0.003643 Loss_D_fake 0.020692
[521/5000][175/535][53509] Loss_D: -0.024959 Loss_G: 0.027038 Loss_D_real: -0.026828 Loss_D_fake -0.001869
[521/5000][180/535][53510] Loss_D: -0.026212 Loss_G: 0.015330 Loss_D_real: -0.023819 Loss_D_fake 0.002393
[521/5000][185/535][53511] Loss_D: -0.026242 Loss_G: -0.003896 Loss_D_real: -0.015194 Loss_D_fake 0.011048
[521/5000][190/535][53512] Loss_D: -0.024774 Loss_G: -0.002903 Loss_D_real: -0.006017 Loss_D_fake 0.018757
[521/5000][195/535][53513] Loss_D: -0.024378 Loss_G: 0.018571 Loss_D_real: -0.021608 Loss_D_fake 0.002770
[521/5000][200/535][53514] Loss_D: -0.025076 Loss_G: 0.003122 Loss_D_real: -0.011682 Loss_D_fake 0.013394
[521/5000][205/535][53515] Loss_D: -0.025137 Loss_G: 0.036114 Loss_D_real: -0.031904 Loss_D_fake -0.006767
[521/5000][210/535][53516] Loss_D: -0.025729 Loss_G: 0.017874 Loss_D_real: -0.020847 Loss_D_fake 0.004882
[521/5000][215/535][53517] Loss_D: -0.027346 Loss_G: 0.024401 Loss_D_real: -0.027556 Loss_D_fake -0.000209
[521/5000][220/535][53518] Loss_D: -0.025905 Loss_G: 0.004375 Loss_D_real: -0.009324 Loss_D_fake 0.016581
[521/5000][225/535][53519] Loss_D: -0.025843 Loss_G: 0.017807 Loss_D_real: -0.010228 Loss_D_fake 0.015616
[521/5000][230/535][53520] Loss_D: -0.026572 Loss_G: 0.006747 Loss_D_real: -0.014396 Loss_D_fake 0.012176
[521/5000][235/535][53521] Loss_D: -0.026449 Loss_G: 0.007697 Loss_D_real: -0.017336 Loss_D_fake 0.009113
[521/5000][240/535][53522] Loss_D: -0.025049 Loss_G: -0.009955 Loss_D_real: 0.000284 Loss_D_fake 0.025332
[521/5000][245/535][53523] Loss_D: -0.023999 Loss_G: 0.021867 Loss_D_real: -0.008190 Loss_D_fake 0.015809
[521/5000][250/535][53524] Loss_D: -0.026368 Loss_G: 0.000490 Loss_D_real: -0.014380 Loss_D_fake 0.011987
[521/5000][255/535][53525] Loss_D: -0.025227 Loss_G: -0.001425 Loss_D_real: -0.011164 Loss_D_fake 0.014064
[521/5000][260/535][53526] Loss_D: -0.027570 Loss_G: 0.034012 Loss_D_real: -0.030291 Loss_D_fake -0.002721
[521/5000][265/535][53527] Loss_D: -0.027921 Loss_G: 0.001626 Loss_D_real: -0.000635 Loss_D_fake 0.027286
[521/5000][270/535][53528] Loss_D: -0.025873 Loss_G: 0.005253 Loss_D_real: -0.002945 Loss_D_fake 0.022928
[521/5000][275/535][53529] Loss_D: -0.025798 Loss_G: 0.013126 Loss_D_real: -0.016039 Loss_D_fake 0.009760
[521/5000][280/535][53530] Loss_D: -0.026606 Loss_G: 0.016654 Loss_D_real: -0.014556 Loss_D_fake 0.012050
[521/5000][285/535][53531] Loss_D: -0.025936 Loss_G: -0.003399 Loss_D_real: -0.001505 Loss_D_fake 0.024431
[521/5000][290/535][53532] Loss_D: -0.025297 Loss_G: 0.014687 Loss_D_real: -0.017975 Loss_D_fake 0.007322
[521/5000][295/535][53533] Loss_D: -0.024795 Loss_G: 0.009411 Loss_D_real: -0.017293 Loss_D_fake 0.007502
[521/5000][300/535][53534] Loss_D: -0.026404 Loss_G: 0.011863 Loss_D_real: -0.021870 Loss_D_fake 0.004535
[521/5000][305/535][53535] Loss_D: -0.026605 Loss_G: 0.023714 Loss_D_real: -0.021109 Loss_D_fake 0.005496
[521/5000][310/535][53536] Loss_D: -0.026379 Loss_G: 0.004872 Loss_D_real: -0.005487 Loss_D_fake 0.020893
[521/5000][315/535][53537] Loss_D: -0.025602 Loss_G: -0.004180 Loss_D_real: 0.001775 Loss_D_fake 0.027377
[521/5000][320/535][53538] Loss_D: -0.025468 Loss_G: 0.035302 Loss_D_real: -0.034118 Loss_D_fake -0.008650
[521/5000][325/535][53539] Loss_D: -0.026324 Loss_G: -0.001009 Loss_D_real: -0.007535 Loss_D_fake 0.018789
[521/5000][330/535][53540] Loss_D: -0.025792 Loss_G: 0.032995 Loss_D_real: -0.024153 Loss_D_fake 0.001639
[521/5000][335/535][53541] Loss_D: -0.025529 Loss_G: 0.019588 Loss_D_real: -0.026983 Loss_D_fake -0.001454
[521/5000][340/535][53542] Loss_D: -0.027654 Loss_G: 0.001146 Loss_D_real: -0.011280 Loss_D_fake 0.016373
[521/5000][345/535][53543] Loss_D: -0.027228 Loss_G: 0.002745 Loss_D_real: -0.020041 Loss_D_fake 0.007187
[521/5000][350/535][53544] Loss_D: -0.027074 Loss_G: 0.023268 Loss_D_real: -0.026157 Loss_D_fake 0.000916
[521/5000][355/535][53545] Loss_D: -0.025603 Loss_G: 0.033984 Loss_D_real: -0.035512 Loss_D_fake -0.009909
[521/5000][360/535][53546] Loss_D: -0.026381 Loss_G: -0.004815 Loss_D_real: -0.005997 Loss_D_fake 0.020383
[521/5000][365/535][53547] Loss_D: -0.026134 Loss_G: 0.011905 Loss_D_real: -0.014482 Loss_D_fake 0.011652
[521/5000][370/535][53548] Loss_D: -0.026424 Loss_G: 0.017450 Loss_D_real: -0.016848 Loss_D_fake 0.009577
[521/5000][375/535][53549] Loss_D: -0.024748 Loss_G: 0.026135 Loss_D_real: -0.022729 Loss_D_fake 0.002018
[521/5000][380/535][53550] Loss_D: -0.026910 Loss_G: 0.017231 Loss_D_real: -0.023452 Loss_D_fake 0.003457
[521/5000][385/535][53551] Loss_D: -0.026327 Loss_G: -0.000872 Loss_D_real: -0.015720 Loss_D_fake 0.010608
[521/5000][390/535][53552] Loss_D: -0.026360 Loss_G: 0.028193 Loss_D_real: -0.025788 Loss_D_fake 0.000572
[521/5000][395/535][53553] Loss_D: -0.025909 Loss_G: -0.002490 Loss_D_real: -0.001877 Loss_D_fake 0.024032
[521/5000][400/535][53554] Loss_D: -0.025796 Loss_G: -0.000535 Loss_D_real: -0.003660 Loss_D_fake 0.022137
[521/5000][405/535][53555] Loss_D: -0.024160 Loss_G: 0.014780 Loss_D_real: -0.019968 Loss_D_fake 0.004192
[521/5000][410/535][53556] Loss_D: -0.025030 Loss_G: 0.019516 Loss_D_real: -0.023912 Loss_D_fake 0.001118
[521/5000][415/535][53557] Loss_D: -0.027137 Loss_G: 0.016590 Loss_D_real: -0.023053 Loss_D_fake 0.004084
[521/5000][420/535][53558] Loss_D: -0.027528 Loss_G: 0.017044 Loss_D_real: -0.023548 Loss_D_fake 0.003981
[521/5000][425/535][53559] Loss_D: -0.025496 Loss_G: 0.007779 Loss_D_real: -0.010345 Loss_D_fake 0.015151
[521/5000][430/535][53560] Loss_D: -0.025989 Loss_G: 0.005714 Loss_D_real: -0.011684 Loss_D_fake 0.014305
[521/5000][435/535][53561] Loss_D: -0.024972 Loss_G: -0.012677 Loss_D_real: 0.007525 Loss_D_fake 0.032498
[521/5000][440/535][53562] Loss_D: -0.025352 Loss_G: 0.009891 Loss_D_real: -0.020802 Loss_D_fake 0.004550
[521/5000][445/535][53563] Loss_D: -0.025600 Loss_G: 0.026159 Loss_D_real: -0.022138 Loss_D_fake 0.003462
[521/5000][450/535][53564] Loss_D: -0.025148 Loss_G: 0.004350 Loss_D_real: -0.004851 Loss_D_fake 0.020297
[521/5000][455/535][53565] Loss_D: -0.027247 Loss_G: 0.000563 Loss_D_real: -0.016113 Loss_D_fake 0.011134
[521/5000][460/535][53566] Loss_D: -0.024729 Loss_G: 0.032248 Loss_D_real: -0.024054 Loss_D_fake 0.000676
[521/5000][465/535][53567] Loss_D: -0.025556 Loss_G: -0.003830 Loss_D_real: -0.004714 Loss_D_fake 0.020842
[521/5000][470/535][53568] Loss_D: -0.024343 Loss_G: 0.008574 Loss_D_real: -0.013730 Loss_D_fake 0.010613
[521/5000][475/535][53569] Loss_D: -0.026031 Loss_G: 0.008578 Loss_D_real: -0.022298 Loss_D_fake 0.003732
[521/5000][480/535][53570] Loss_D: -0.026542 Loss_G: 0.025879 Loss_D_real: -0.024521 Loss_D_fake 0.002022
[521/5000][485/535][53571] Loss_D: -0.025927 Loss_G: 0.028147 Loss_D_real: -0.024699 Loss_D_fake 0.001228
[521/5000][490/535][53572] Loss_D: -0.024814 Loss_G: -0.013436 Loss_D_real: -0.000142 Loss_D_fake 0.024673
[521/5000][495/535][53573] Loss_D: -0.025921 Loss_G: 0.009014 Loss_D_real: -0.013835 Loss_D_fake 0.012085
[521/5000][500/535][53574] Loss_D: -0.027203 Loss_G: 0.021227 Loss_D_real: -0.015025 Loss_D_fake 0.012178
[521/5000][505/535][53575] Loss_D: -0.027574 Loss_G: 0.001146 Loss_D_real: -0.007737 Loss_D_fake 0.019837
[521/5000][510/535][53576] Loss_D: -0.025205 Loss_G: -0.010782 Loss_D_real: 0.012088 Loss_D_fake 0.037293
[521/5000][515/535][53577] Loss_D: -0.027229 Loss_G: 0.019252 Loss_D_real: -0.021060 Loss_D_fake 0.006169
[521/5000][520/535][53578] Loss_D: -0.026959 Loss_G: 0.000026 Loss_D_real: -0.014809 Loss_D_fake 0.012150
[521/5000][525/535][53579] Loss_D: -0.026269 Loss_G: 0.025703 Loss_D_real: -0.024188 Loss_D_fake 0.002081
[521/5000][530/535][53580] Loss_D: -0.027495 Loss_G: 0.020082 Loss_D_real: -0.021084 Loss_D_fake 0.006410
[521/5000][535/535][53581] Loss_D: -0.031053 Loss_G: 0.018885 Loss_D_real: -0.025864 Loss_D_fake 0.005188
[522/5000][5/535][53582] Loss_D: -0.026532 Loss_G: -0.000922 Loss_D_real: -0.016588 Loss_D_fake 0.009944
[522/5000][10/535][53583] Loss_D: -0.027122 Loss_G: 0.026484 Loss_D_real: -0.031081 Loss_D_fake -0.003960
[522/5000][15/535][53584] Loss_D: -0.026195 Loss_G: 0.015714 Loss_D_real: -0.024086 Loss_D_fake 0.002108
[522/5000][20/535][53585] Loss_D: -0.027690 Loss_G: 0.024609 Loss_D_real: -0.025661 Loss_D_fake 0.002030
[522/5000][25/535][53586] Loss_D: -0.026127 Loss_G: -0.009344 Loss_D_real: -0.005762 Loss_D_fake 0.020364
[522/5000][30/535][53587] Loss_D: -0.025680 Loss_G: 0.041089 Loss_D_real: -0.035150 Loss_D_fake -0.009470
[522/5000][35/535][53588] Loss_D: -0.026436 Loss_G: -0.012126 Loss_D_real: -0.001852 Loss_D_fake 0.024584
[522/5000][40/535][53589] Loss_D: -0.025994 Loss_G: 0.001987 Loss_D_real: -0.014639 Loss_D_fake 0.011355
[522/5000][45/535][53590] Loss_D: -0.024931 Loss_G: 0.029133 Loss_D_real: -0.027484 Loss_D_fake -0.002554
[522/5000][50/535][53591] Loss_D: -0.027055 Loss_G: 0.024915 Loss_D_real: -0.021715 Loss_D_fake 0.005341
[522/5000][55/535][53592] Loss_D: -0.026316 Loss_G: 0.014271 Loss_D_real: -0.016026 Loss_D_fake 0.010290
[522/5000][60/535][53593] Loss_D: -0.028230 Loss_G: 0.014481 Loss_D_real: -0.014538 Loss_D_fake 0.013692
[522/5000][65/535][53594] Loss_D: -0.027438 Loss_G: 0.006795 Loss_D_real: -0.010782 Loss_D_fake 0.016656
[522/5000][70/535][53595] Loss_D: -0.026492 Loss_G: 0.020087 Loss_D_real: -0.033883 Loss_D_fake -0.007391
[522/5000][75/535][53596] Loss_D: -0.026843 Loss_G: 0.004607 Loss_D_real: -0.017548 Loss_D_fake 0.009295
[522/5000][80/535][53597] Loss_D: -0.027198 Loss_G: 0.013975 Loss_D_real: -0.016389 Loss_D_fake 0.010809
[522/5000][85/535][53598] Loss_D: -0.027867 Loss_G: 0.021786 Loss_D_real: -0.029546 Loss_D_fake -0.001679
[522/5000][90/535][53599] Loss_D: -0.027085 Loss_G: 0.018236 Loss_D_real: -0.019561 Loss_D_fake 0.007524
[522/5000][95/535][53600] Loss_D: -0.025798 Loss_G: -0.003726 Loss_D_real: -0.002284 Loss_D_fake 0.023514
[522/5000][100/535][53601] Loss_D: -0.024522 Loss_G: -0.016278 Loss_D_real: 0.009141 Loss_D_fake 0.033663
[522/5000][105/535][53602] Loss_D: -0.024653 Loss_G: 0.035451 Loss_D_real: -0.027493 Loss_D_fake -0.002840
[522/5000][110/535][53603] Loss_D: -0.025988 Loss_G: 0.019173 Loss_D_real: -0.018828 Loss_D_fake 0.007160
[522/5000][115/535][53604] Loss_D: -0.025951 Loss_G: 0.009501 Loss_D_real: -0.018992 Loss_D_fake 0.006959
[522/5000][120/535][53605] Loss_D: -0.026342 Loss_G: 0.001617 Loss_D_real: -0.009359 Loss_D_fake 0.016983
[522/5000][125/535][53606] Loss_D: -0.025486 Loss_G: 0.009642 Loss_D_real: -0.012464 Loss_D_fake 0.013022
[522/5000][130/535][53607] Loss_D: -0.026672 Loss_G: 0.009481 Loss_D_real: -0.017422 Loss_D_fake 0.009251
[522/5000][135/535][53608] Loss_D: -0.025823 Loss_G: 0.029866 Loss_D_real: -0.035566 Loss_D_fake -0.009743
[522/5000][140/535][53609] Loss_D: -0.025644 Loss_G: 0.005807 Loss_D_real: -0.015221 Loss_D_fake 0.010423
[522/5000][145/535][53610] Loss_D: -0.024492 Loss_G: -0.005358 Loss_D_real: -0.006643 Loss_D_fake 0.017849
[522/5000][150/535][53611] Loss_D: -0.025431 Loss_G: -0.001785 Loss_D_real: -0.007909 Loss_D_fake 0.017522
[522/5000][155/535][53612] Loss_D: -0.026550 Loss_G: 0.020559 Loss_D_real: -0.025647 Loss_D_fake 0.000902
[522/5000][160/535][53613] Loss_D: -0.027393 Loss_G: 0.029067 Loss_D_real: -0.034283 Loss_D_fake -0.006890
[522/5000][165/535][53614] Loss_D: -0.025258 Loss_G: 0.035035 Loss_D_real: -0.027769 Loss_D_fake -0.002510
[522/5000][170/535][53615] Loss_D: -0.026028 Loss_G: 0.037006 Loss_D_real: -0.024940 Loss_D_fake 0.001088
[522/5000][175/535][53616] Loss_D: -0.026964 Loss_G: -0.009687 Loss_D_real: -0.011358 Loss_D_fake 0.015606
[522/5000][180/535][53617] Loss_D: -0.025802 Loss_G: 0.030017 Loss_D_real: -0.021174 Loss_D_fake 0.004628
[522/5000][185/535][53618] Loss_D: -0.026339 Loss_G: 0.007932 Loss_D_real: -0.026231 Loss_D_fake 0.000109
[522/5000][190/535][53619] Loss_D: -0.026346 Loss_G: 0.008679 Loss_D_real: -0.011979 Loss_D_fake 0.014367
[522/5000][195/535][53620] Loss_D: -0.025855 Loss_G: 0.033983 Loss_D_real: -0.024117 Loss_D_fake 0.001737
[522/5000][200/535][53621] Loss_D: -0.027027 Loss_G: -0.008665 Loss_D_real: -0.001263 Loss_D_fake 0.025764
[522/5000][205/535][53622] Loss_D: -0.024456 Loss_G: 0.025434 Loss_D_real: -0.028866 Loss_D_fake -0.004410
[522/5000][210/535][53623] Loss_D: -0.026319 Loss_G: 0.019392 Loss_D_real: -0.028136 Loss_D_fake -0.001818
[522/5000][215/535][53624] Loss_D: -0.026991 Loss_G: 0.016636 Loss_D_real: -0.026915 Loss_D_fake 0.000077
[522/5000][220/535][53625] Loss_D: -0.025903 Loss_G: 0.021113 Loss_D_real: -0.026825 Loss_D_fake -0.000922
[522/5000][225/535][53626] Loss_D: -0.026871 Loss_G: -0.003898 Loss_D_real: -0.007537 Loss_D_fake 0.019334
[522/5000][230/535][53627] Loss_D: -0.026189 Loss_G: 0.006319 Loss_D_real: -0.008995 Loss_D_fake 0.017195
[522/5000][235/535][53628] Loss_D: -0.027283 Loss_G: 0.013695 Loss_D_real: -0.020028 Loss_D_fake 0.007255
[522/5000][240/535][53629] Loss_D: -0.026811 Loss_G: 0.029224 Loss_D_real: -0.022434 Loss_D_fake 0.004377
[522/5000][245/535][53630] Loss_D: -0.026793 Loss_G: 0.001804 Loss_D_real: -0.006423 Loss_D_fake 0.020371
[522/5000][250/535][53631] Loss_D: -0.025852 Loss_G: 0.001788 Loss_D_real: -0.015350 Loss_D_fake 0.010502
[522/5000][255/535][53632] Loss_D: -0.026225 Loss_G: 0.007339 Loss_D_real: -0.009425 Loss_D_fake 0.016800
[522/5000][260/535][53633] Loss_D: -0.026809 Loss_G: 0.010607 Loss_D_real: -0.008798 Loss_D_fake 0.018011
[522/5000][265/535][53634] Loss_D: -0.025923 Loss_G: 0.011947 Loss_D_real: -0.021734 Loss_D_fake 0.004189
[522/5000][270/535][53635] Loss_D: -0.025953 Loss_G: -0.011515 Loss_D_real: -0.003473 Loss_D_fake 0.022481
[522/5000][275/535][53636] Loss_D: -0.025604 Loss_G: 0.021896 Loss_D_real: -0.017018 Loss_D_fake 0.008586
[522/5000][280/535][53637] Loss_D: -0.025119 Loss_G: 0.011878 Loss_D_real: -0.017188 Loss_D_fake 0.007931
[522/5000][285/535][53638] Loss_D: -0.026229 Loss_G: 0.010687 Loss_D_real: -0.017536 Loss_D_fake 0.008692
[522/5000][290/535][53639] Loss_D: -0.025085 Loss_G: -0.013710 Loss_D_real: -0.000839 Loss_D_fake 0.024246
[522/5000][295/535][53640] Loss_D: -0.026217 Loss_G: 0.005910 Loss_D_real: -0.019628 Loss_D_fake 0.006590
[522/5000][300/535][53641] Loss_D: -0.025658 Loss_G: 0.016825 Loss_D_real: -0.025694 Loss_D_fake -0.000036
[522/5000][305/535][53642] Loss_D: -0.026419 Loss_G: 0.010093 Loss_D_real: -0.011140 Loss_D_fake 0.015279
[522/5000][310/535][53643] Loss_D: -0.025796 Loss_G: 0.010259 Loss_D_real: -0.019937 Loss_D_fake 0.005859
[522/5000][315/535][53644] Loss_D: -0.026885 Loss_G: 0.011312 Loss_D_real: -0.009689 Loss_D_fake 0.017196
[522/5000][320/535][53645] Loss_D: -0.027097 Loss_G: 0.011309 Loss_D_real: -0.013445 Loss_D_fake 0.013653
[522/5000][325/535][53646] Loss_D: -0.026269 Loss_G: 0.024570 Loss_D_real: -0.022327 Loss_D_fake 0.003942
[522/5000][330/535][53647] Loss_D: -0.026041 Loss_G: 0.033690 Loss_D_real: -0.036598 Loss_D_fake -0.010557
[522/5000][335/535][53648] Loss_D: -0.027153 Loss_G: -0.007883 Loss_D_real: -0.013176 Loss_D_fake 0.013977
[522/5000][340/535][53649] Loss_D: -0.025610 Loss_G: 0.026568 Loss_D_real: -0.022822 Loss_D_fake 0.002787
[522/5000][345/535][53650] Loss_D: -0.026534 Loss_G: -0.001591 Loss_D_real: -0.012610 Loss_D_fake 0.013924
[522/5000][350/535][53651] Loss_D: -0.024706 Loss_G: 0.024925 Loss_D_real: -0.031030 Loss_D_fake -0.006325
[522/5000][355/535][53652] Loss_D: -0.027160 Loss_G: 0.007074 Loss_D_real: -0.026769 Loss_D_fake 0.000391
[522/5000][360/535][53653] Loss_D: -0.027272 Loss_G: 0.007699 Loss_D_real: -0.007127 Loss_D_fake 0.020145
[522/5000][365/535][53654] Loss_D: -0.026489 Loss_G: 0.031683 Loss_D_real: -0.029717 Loss_D_fake -0.003228
[522/5000][370/535][53655] Loss_D: -0.026858 Loss_G: -0.007521 Loss_D_real: -0.003307 Loss_D_fake 0.023551
[522/5000][375/535][53656] Loss_D: -0.026322 Loss_G: 0.025006 Loss_D_real: -0.025995 Loss_D_fake 0.000327
[522/5000][380/535][53657] Loss_D: -0.025262 Loss_G: 0.003372 Loss_D_real: -0.007591 Loss_D_fake 0.017671
[522/5000][385/535][53658] Loss_D: -0.026636 Loss_G: 0.003873 Loss_D_real: -0.024199 Loss_D_fake 0.002437
[522/5000][390/535][53659] Loss_D: -0.026438 Loss_G: 0.007929 Loss_D_real: -0.008150 Loss_D_fake 0.018288
[522/5000][395/535][53660] Loss_D: -0.026056 Loss_G: 0.016629 Loss_D_real: -0.017175 Loss_D_fake 0.008881
[522/5000][400/535][53661] Loss_D: -0.024281 Loss_G: -0.011779 Loss_D_real: 0.000152 Loss_D_fake 0.024433
[522/5000][405/535][53662] Loss_D: -0.025518 Loss_G: 0.007350 Loss_D_real: -0.006190 Loss_D_fake 0.019328
[522/5000][410/535][53663] Loss_D: -0.026542 Loss_G: 0.013280 Loss_D_real: -0.008857 Loss_D_fake 0.017685
[522/5000][415/535][53664] Loss_D: -0.027084 Loss_G: 0.010093 Loss_D_real: -0.009763 Loss_D_fake 0.017321
[522/5000][420/535][53665] Loss_D: -0.026546 Loss_G: 0.021400 Loss_D_real: -0.023744 Loss_D_fake 0.002801
[522/5000][425/535][53666] Loss_D: -0.026598 Loss_G: 0.004073 Loss_D_real: -0.001995 Loss_D_fake 0.024603
[522/5000][430/535][53667] Loss_D: -0.026035 Loss_G: 0.035832 Loss_D_real: -0.024806 Loss_D_fake 0.001229
[522/5000][435/535][53668] Loss_D: -0.026639 Loss_G: 0.010564 Loss_D_real: -0.017104 Loss_D_fake 0.009534
[522/5000][440/535][53669] Loss_D: -0.025331 Loss_G: 0.028652 Loss_D_real: -0.039723 Loss_D_fake -0.014391
[522/5000][445/535][53670] Loss_D: -0.027510 Loss_G: 0.014133 Loss_D_real: -0.014218 Loss_D_fake 0.013292
[522/5000][450/535][53671] Loss_D: -0.027926 Loss_G: 0.006695 Loss_D_real: -0.016889 Loss_D_fake 0.011037
[522/5000][455/535][53672] Loss_D: -0.026327 Loss_G: -0.000528 Loss_D_real: -0.010042 Loss_D_fake 0.016285
[522/5000][460/535][53673] Loss_D: -0.025517 Loss_G: 0.028249 Loss_D_real: -0.028652 Loss_D_fake -0.003135
[522/5000][465/535][53674] Loss_D: -0.026010 Loss_G: 0.021085 Loss_D_real: -0.019089 Loss_D_fake 0.006920
[522/5000][470/535][53675] Loss_D: -0.026238 Loss_G: -0.002026 Loss_D_real: -0.014997 Loss_D_fake 0.011241
[522/5000][475/535][53676] Loss_D: -0.026150 Loss_G: -0.007205 Loss_D_real: -0.002581 Loss_D_fake 0.023569
[522/5000][480/535][53677] Loss_D: -0.026582 Loss_G: 0.022446 Loss_D_real: -0.021869 Loss_D_fake 0.004713
[522/5000][485/535][53678] Loss_D: -0.025431 Loss_G: 0.030078 Loss_D_real: -0.035918 Loss_D_fake -0.010487
[522/5000][490/535][53679] Loss_D: -0.026138 Loss_G: -0.000341 Loss_D_real: -0.009697 Loss_D_fake 0.016441
[522/5000][495/535][53680] Loss_D: -0.025652 Loss_G: 0.027006 Loss_D_real: -0.020211 Loss_D_fake 0.005441
[522/5000][500/535][53681] Loss_D: -0.025789 Loss_G: 0.006637 Loss_D_real: -0.018568 Loss_D_fake 0.007221
[522/5000][505/535][53682] Loss_D: -0.027246 Loss_G: -0.001464 Loss_D_real: -0.010760 Loss_D_fake 0.016486
[522/5000][510/535][53683] Loss_D: -0.024528 Loss_G: 0.032596 Loss_D_real: -0.025783 Loss_D_fake -0.001255
[522/5000][515/535][53684] Loss_D: -0.025999 Loss_G: 0.000632 Loss_D_real: 0.002912 Loss_D_fake 0.028911
[522/5000][520/535][53685] Loss_D: -0.026103 Loss_G: 0.011936 Loss_D_real: -0.021493 Loss_D_fake 0.004610
[522/5000][525/535][53686] Loss_D: -0.025821 Loss_G: 0.013917 Loss_D_real: -0.018224 Loss_D_fake 0.007597
[522/5000][530/535][53687] Loss_D: -0.025502 Loss_G: 0.030483 Loss_D_real: -0.041826 Loss_D_fake -0.016324
[522/5000][535/535][53688] Loss_D: -0.026538 Loss_G: 0.031101 Loss_D_real: -0.009285 Loss_D_fake 0.017253
[523/5000][5/535][53689] Loss_D: -0.027018 Loss_G: 0.010288 Loss_D_real: -0.014741 Loss_D_fake 0.012277
[523/5000][10/535][53690] Loss_D: -0.027233 Loss_G: 0.007841 Loss_D_real: -0.011697 Loss_D_fake 0.015536
[523/5000][15/535][53691] Loss_D: -0.027159 Loss_G: 0.018639 Loss_D_real: -0.023715 Loss_D_fake 0.003444
[523/5000][20/535][53692] Loss_D: -0.026061 Loss_G: -0.012332 Loss_D_real: -0.000870 Loss_D_fake 0.025191
[523/5000][25/535][53693] Loss_D: -0.026268 Loss_G: 0.022494 Loss_D_real: -0.026747 Loss_D_fake -0.000479
[523/5000][30/535][53694] Loss_D: -0.025843 Loss_G: -0.001582 Loss_D_real: -0.002434 Loss_D_fake 0.023409
[523/5000][35/535][53695] Loss_D: -0.024124 Loss_G: 0.005809 Loss_D_real: -0.022035 Loss_D_fake 0.002088
[523/5000][40/535][53696] Loss_D: -0.027615 Loss_G: 0.017637 Loss_D_real: -0.015110 Loss_D_fake 0.012505
[523/5000][45/535][53697] Loss_D: -0.026271 Loss_G: 0.029966 Loss_D_real: -0.033794 Loss_D_fake -0.007522
[523/5000][50/535][53698] Loss_D: -0.027115 Loss_G: 0.024971 Loss_D_real: -0.017126 Loss_D_fake 0.009988
[523/5000][55/535][53699] Loss_D: -0.026254 Loss_G: -0.003060 Loss_D_real: -0.011368 Loss_D_fake 0.014886
[523/5000][60/535][53700] Loss_D: -0.026806 Loss_G: 0.010273 Loss_D_real: -0.023282 Loss_D_fake 0.003524
[523/5000][65/535][53701] Loss_D: -0.025355 Loss_G: 0.012700 Loss_D_real: -0.017926 Loss_D_fake 0.007429
[523/5000][70/535][53702] Loss_D: -0.025712 Loss_G: 0.027537 Loss_D_real: -0.029648 Loss_D_fake -0.003936
[523/5000][75/535][53703] Loss_D: -0.026154 Loss_G: 0.011837 Loss_D_real: -0.017793 Loss_D_fake 0.008361
[523/5000][80/535][53704] Loss_D: -0.026220 Loss_G: -0.003969 Loss_D_real: -0.005380 Loss_D_fake 0.020839
[523/5000][85/535][53705] Loss_D: -0.026270 Loss_G: 0.029721 Loss_D_real: -0.016692 Loss_D_fake 0.009578
[523/5000][90/535][53706] Loss_D: -0.024626 Loss_G: -0.012539 Loss_D_real: -0.004752 Loss_D_fake 0.019875
[523/5000][95/535][53707] Loss_D: -0.025106 Loss_G: 0.029217 Loss_D_real: -0.033623 Loss_D_fake -0.008517
[523/5000][100/535][53708] Loss_D: -0.027472 Loss_G: 0.008082 Loss_D_real: -0.001372 Loss_D_fake 0.026100
[523/5000][105/535][53709] Loss_D: -0.026393 Loss_G: 0.008988 Loss_D_real: -0.015931 Loss_D_fake 0.010463
[523/5000][110/535][53710] Loss_D: -0.025977 Loss_G: 0.028563 Loss_D_real: -0.034678 Loss_D_fake -0.008700
[523/5000][115/535][53711] Loss_D: -0.025370 Loss_G: 0.026271 Loss_D_real: -0.015008 Loss_D_fake 0.010362
[523/5000][120/535][53712] Loss_D: -0.025468 Loss_G: -0.008669 Loss_D_real: 0.001125 Loss_D_fake 0.026593
[523/5000][125/535][53713] Loss_D: -0.025609 Loss_G: 0.020211 Loss_D_real: -0.023161 Loss_D_fake 0.002448
[523/5000][130/535][53714] Loss_D: -0.024138 Loss_G: -0.015743 Loss_D_real: 0.003577 Loss_D_fake 0.027715
[523/5000][135/535][53715] Loss_D: -0.026494 Loss_G: 0.017057 Loss_D_real: -0.010064 Loss_D_fake 0.016430
[523/5000][140/535][53716] Loss_D: -0.024506 Loss_G: -0.012686 Loss_D_real: 0.003122 Loss_D_fake 0.027628
[523/5000][145/535][53717] Loss_D: -0.024817 Loss_G: 0.010075 Loss_D_real: -0.017437 Loss_D_fake 0.007380
[523/5000][150/535][53718] Loss_D: -0.025880 Loss_G: -0.008435 Loss_D_real: -0.015284 Loss_D_fake 0.010596
[523/5000][155/535][53719] Loss_D: -0.026372 Loss_G: 0.025349 Loss_D_real: -0.025168 Loss_D_fake 0.001204
[523/5000][160/535][53720] Loss_D: -0.025956 Loss_G: 0.024927 Loss_D_real: -0.023018 Loss_D_fake 0.002938
[523/5000][165/535][53721] Loss_D: -0.025649 Loss_G: 0.012662 Loss_D_real: -0.019131 Loss_D_fake 0.006518
[523/5000][170/535][53722] Loss_D: -0.026199 Loss_G: 0.014674 Loss_D_real: -0.013248 Loss_D_fake 0.012951
[523/5000][175/535][53723] Loss_D: -0.027103 Loss_G: 0.005566 Loss_D_real: -0.012024 Loss_D_fake 0.015080
[523/5000][180/535][53724] Loss_D: -0.027485 Loss_G: 0.013913 Loss_D_real: -0.019861 Loss_D_fake 0.007624
[523/5000][185/535][53725] Loss_D: -0.026837 Loss_G: 0.014136 Loss_D_real: -0.018936 Loss_D_fake 0.007902
[523/5000][190/535][53726] Loss_D: -0.026000 Loss_G: -0.000580 Loss_D_real: -0.008127 Loss_D_fake 0.017873
[523/5000][195/535][53727] Loss_D: -0.026611 Loss_G: 0.034550 Loss_D_real: -0.035464 Loss_D_fake -0.008853
[523/5000][200/535][53728] Loss_D: -0.026967 Loss_G: 0.019820 Loss_D_real: -0.024035 Loss_D_fake 0.002932
[523/5000][205/535][53729] Loss_D: -0.025425 Loss_G: -0.006342 Loss_D_real: -0.002119 Loss_D_fake 0.023306
[523/5000][210/535][53730] Loss_D: -0.025747 Loss_G: 0.026224 Loss_D_real: -0.022702 Loss_D_fake 0.003046
[523/5000][215/535][53731] Loss_D: -0.025768 Loss_G: 0.004702 Loss_D_real: -0.014421 Loss_D_fake 0.011347
[523/5000][220/535][53732] Loss_D: -0.029021 Loss_G: 0.023551 Loss_D_real: -0.020846 Loss_D_fake 0.008175
[523/5000][225/535][53733] Loss_D: -0.025823 Loss_G: 0.045764 Loss_D_real: -0.038533 Loss_D_fake -0.012710
[523/5000][230/535][53734] Loss_D: -0.026487 Loss_G: 0.014020 Loss_D_real: -0.024216 Loss_D_fake 0.002272
[523/5000][235/535][53735] Loss_D: -0.025992 Loss_G: -0.004078 Loss_D_real: -0.005795 Loss_D_fake 0.020197
[523/5000][240/535][53736] Loss_D: -0.025814 Loss_G: 0.014851 Loss_D_real: -0.026687 Loss_D_fake -0.000873
[523/5000][245/535][53737] Loss_D: -0.025272 Loss_G: 0.015410 Loss_D_real: -0.033725 Loss_D_fake -0.008453
[523/5000][250/535][53738] Loss_D: -0.026384 Loss_G: 0.023078 Loss_D_real: -0.022217 Loss_D_fake 0.004167
[523/5000][255/535][53739] Loss_D: -0.026392 Loss_G: 0.027425 Loss_D_real: -0.029242 Loss_D_fake -0.002850
[523/5000][260/535][53740] Loss_D: -0.027302 Loss_G: 0.021529 Loss_D_real: -0.026409 Loss_D_fake 0.000893
[523/5000][265/535][53741] Loss_D: -0.026709 Loss_G: 0.004968 Loss_D_real: -0.018977 Loss_D_fake 0.007732
[523/5000][270/535][53742] Loss_D: -0.027780 Loss_G: 0.020592 Loss_D_real: -0.014191 Loss_D_fake 0.013589
[523/5000][275/535][53743] Loss_D: -0.025722 Loss_G: 0.012084 Loss_D_real: -0.014133 Loss_D_fake 0.011589
[523/5000][280/535][53744] Loss_D: -0.025796 Loss_G: 0.003208 Loss_D_real: -0.008477 Loss_D_fake 0.017319
[523/5000][285/535][53745] Loss_D: -0.026747 Loss_G: 0.016067 Loss_D_real: -0.021888 Loss_D_fake 0.004859
[523/5000][290/535][53746] Loss_D: -0.025393 Loss_G: -0.005794 Loss_D_real: 0.005217 Loss_D_fake 0.030610
[523/5000][295/535][53747] Loss_D: -0.024211 Loss_G: 0.029131 Loss_D_real: -0.028430 Loss_D_fake -0.004219
[523/5000][300/535][53748] Loss_D: -0.026135 Loss_G: 0.012181 Loss_D_real: -0.010994 Loss_D_fake 0.015141
[523/5000][305/535][53749] Loss_D: -0.025859 Loss_G: -0.001290 Loss_D_real: -0.016098 Loss_D_fake 0.009762
[523/5000][310/535][53750] Loss_D: -0.024443 Loss_G: 0.031761 Loss_D_real: -0.027110 Loss_D_fake -0.002667
[523/5000][315/535][53751] Loss_D: -0.027131 Loss_G: 0.006648 Loss_D_real: -0.012048 Loss_D_fake 0.015083
[523/5000][320/535][53752] Loss_D: -0.026452 Loss_G: 0.025983 Loss_D_real: -0.025131 Loss_D_fake 0.001322
[523/5000][325/535][53753] Loss_D: -0.026599 Loss_G: 0.006343 Loss_D_real: -0.005685 Loss_D_fake 0.020913
[523/5000][330/535][53754] Loss_D: -0.026204 Loss_G: 0.021950 Loss_D_real: -0.031732 Loss_D_fake -0.005528
[523/5000][335/535][53755] Loss_D: -0.025260 Loss_G: 0.014888 Loss_D_real: -0.018323 Loss_D_fake 0.006937
[523/5000][340/535][53756] Loss_D: -0.027266 Loss_G: 0.025960 Loss_D_real: -0.019543 Loss_D_fake 0.007723
[523/5000][345/535][53757] Loss_D: -0.026670 Loss_G: -0.004887 Loss_D_real: -0.015417 Loss_D_fake 0.011252
[523/5000][350/535][53758] Loss_D: -0.026307 Loss_G: 0.019425 Loss_D_real: -0.018420 Loss_D_fake 0.007887
[523/5000][355/535][53759] Loss_D: -0.025834 Loss_G: 0.004659 Loss_D_real: -0.012612 Loss_D_fake 0.013222
[523/5000][360/535][53760] Loss_D: -0.026672 Loss_G: 0.007070 Loss_D_real: -0.005543 Loss_D_fake 0.021130
[523/5000][365/535][53761] Loss_D: -0.025126 Loss_G: 0.007142 Loss_D_real: -0.011975 Loss_D_fake 0.013151
[523/5000][370/535][53762] Loss_D: -0.025883 Loss_G: 0.042302 Loss_D_real: -0.036730 Loss_D_fake -0.010847
[523/5000][375/535][53763] Loss_D: -0.025395 Loss_G: -0.008803 Loss_D_real: 0.000905 Loss_D_fake 0.026300
[523/5000][380/535][53764] Loss_D: -0.025155 Loss_G: 0.015750 Loss_D_real: -0.017102 Loss_D_fake 0.008053
[523/5000][385/535][53765] Loss_D: -0.025353 Loss_G: 0.018925 Loss_D_real: -0.021120 Loss_D_fake 0.004233
[523/5000][390/535][53766] Loss_D: -0.026332 Loss_G: 0.008912 Loss_D_real: -0.011383 Loss_D_fake 0.014950
[523/5000][395/535][53767] Loss_D: -0.024332 Loss_G: 0.023304 Loss_D_real: -0.022062 Loss_D_fake 0.002270
[523/5000][400/535][53768] Loss_D: -0.026162 Loss_G: 0.000495 Loss_D_real: -0.008135 Loss_D_fake 0.018027
[523/5000][405/535][53769] Loss_D: -0.024377 Loss_G: -0.013508 Loss_D_real: -0.000745 Loss_D_fake 0.023631
[523/5000][410/535][53770] Loss_D: -0.024151 Loss_G: -0.000912 Loss_D_real: 0.002835 Loss_D_fake 0.026986
[523/5000][415/535][53771] Loss_D: -0.025300 Loss_G: -0.006221 Loss_D_real: -0.007998 Loss_D_fake 0.017302
[523/5000][420/535][53772] Loss_D: -0.025859 Loss_G: 0.028189 Loss_D_real: -0.026314 Loss_D_fake -0.000456
[523/5000][425/535][53773] Loss_D: -0.026428 Loss_G: 0.012002 Loss_D_real: -0.008336 Loss_D_fake 0.018092
[523/5000][430/535][53774] Loss_D: -0.024801 Loss_G: 0.012962 Loss_D_real: -0.021627 Loss_D_fake 0.003174
[523/5000][435/535][53775] Loss_D: -0.023923 Loss_G: 0.029077 Loss_D_real: -0.026520 Loss_D_fake -0.002597
[523/5000][440/535][53776] Loss_D: -0.025948 Loss_G: -0.000380 Loss_D_real: -0.012366 Loss_D_fake 0.013582
[523/5000][445/535][53777] Loss_D: -0.025630 Loss_G: 0.003961 Loss_D_real: -0.006953 Loss_D_fake 0.018677
[523/5000][450/535][53778] Loss_D: -0.027313 Loss_G: 0.015621 Loss_D_real: -0.014446 Loss_D_fake 0.012867
[523/5000][455/535][53779] Loss_D: -0.025551 Loss_G: 0.012333 Loss_D_real: -0.012224 Loss_D_fake 0.013326
[523/5000][460/535][53780] Loss_D: -0.025598 Loss_G: -0.019266 Loss_D_real: -0.001263 Loss_D_fake 0.024335
[523/5000][465/535][53781] Loss_D: -0.024543 Loss_G: -0.003658 Loss_D_real: 0.005872 Loss_D_fake 0.030415
[523/5000][470/535][53782] Loss_D: -0.025848 Loss_G: 0.032731 Loss_D_real: -0.035715 Loss_D_fake -0.009867
[523/5000][475/535][53783] Loss_D: -0.025764 Loss_G: 0.014126 Loss_D_real: -0.022131 Loss_D_fake 0.003633
[523/5000][480/535][53784] Loss_D: -0.027791 Loss_G: 0.001285 Loss_D_real: -0.008904 Loss_D_fake 0.018887
[523/5000][485/535][53785] Loss_D: -0.026408 Loss_G: 0.032524 Loss_D_real: -0.025216 Loss_D_fake 0.001191
[523/5000][490/535][53786] Loss_D: -0.026046 Loss_G: 0.027389 Loss_D_real: -0.033589 Loss_D_fake -0.007543
[523/5000][495/535][53787] Loss_D: -0.026434 Loss_G: 0.010634 Loss_D_real: -0.015445 Loss_D_fake 0.010989
[523/5000][500/535][53788] Loss_D: -0.023507 Loss_G: 0.040765 Loss_D_real: -0.038074 Loss_D_fake -0.014567
[523/5000][505/535][53789] Loss_D: -0.027733 Loss_G: 0.002259 Loss_D_real: -0.013533 Loss_D_fake 0.014200
[523/5000][510/535][53790] Loss_D: -0.026761 Loss_G: 0.010599 Loss_D_real: -0.019537 Loss_D_fake 0.007224
[523/5000][515/535][53791] Loss_D: -0.026558 Loss_G: 0.007052 Loss_D_real: -0.010789 Loss_D_fake 0.015768
[523/5000][520/535][53792] Loss_D: -0.027226 Loss_G: 0.020210 Loss_D_real: -0.013463 Loss_D_fake 0.013763
[523/5000][525/535][53793] Loss_D: -0.026608 Loss_G: 0.006896 Loss_D_real: -0.011973 Loss_D_fake 0.014635
[523/5000][530/535][53794] Loss_D: -0.025184 Loss_G: 0.012995 Loss_D_real: -0.020080 Loss_D_fake 0.005104
[523/5000][535/535][53795] Loss_D: -0.027256 Loss_G: -0.001471 Loss_D_real: -0.006728 Loss_D_fake 0.020528
[524/5000][5/535][53796] Loss_D: -0.026651 Loss_G: 0.016214 Loss_D_real: -0.013024 Loss_D_fake 0.013628
[524/5000][10/535][53797] Loss_D: -0.025944 Loss_G: 0.015021 Loss_D_real: -0.017725 Loss_D_fake 0.008219
[524/5000][15/535][53798] Loss_D: -0.026781 Loss_G: -0.011532 Loss_D_real: -0.007972 Loss_D_fake 0.018808
[524/5000][20/535][53799] Loss_D: -0.024640 Loss_G: 0.022981 Loss_D_real: -0.024055 Loss_D_fake 0.000585
[524/5000][25/535][53800] Loss_D: -0.025401 Loss_G: 0.014723 Loss_D_real: -0.016783 Loss_D_fake 0.008618
[524/5000][30/535][53801] Loss_D: -0.026281 Loss_G: 0.001964 Loss_D_real: -0.011561 Loss_D_fake 0.014720
[524/5000][35/535][53802] Loss_D: -0.024688 Loss_G: -0.004010 Loss_D_real: -0.004307 Loss_D_fake 0.020381
[524/5000][40/535][53803] Loss_D: -0.025027 Loss_G: 0.013864 Loss_D_real: -0.020611 Loss_D_fake 0.004416
[524/5000][45/535][53804] Loss_D: -0.025538 Loss_G: -0.002666 Loss_D_real: 0.000643 Loss_D_fake 0.026181
[524/5000][50/535][53805] Loss_D: -0.025538 Loss_G: 0.006372 Loss_D_real: -0.015016 Loss_D_fake 0.010522
[524/5000][55/535][53806] Loss_D: -0.026189 Loss_G: 0.014129 Loss_D_real: -0.021154 Loss_D_fake 0.005035
[524/5000][60/535][53807] Loss_D: -0.026349 Loss_G: 0.018372 Loss_D_real: -0.007706 Loss_D_fake 0.018644
[524/5000][65/535][53808] Loss_D: -0.025956 Loss_G: 0.008969 Loss_D_real: -0.019193 Loss_D_fake 0.006763
[524/5000][70/535][53809] Loss_D: -0.025814 Loss_G: 0.030560 Loss_D_real: -0.031172 Loss_D_fake -0.005358
[524/5000][75/535][53810] Loss_D: -0.025022 Loss_G: 0.000133 Loss_D_real: -0.008734 Loss_D_fake 0.016288
[524/5000][80/535][53811] Loss_D: -0.025990 Loss_G: 0.005046 Loss_D_real: -0.014085 Loss_D_fake 0.011905
[524/5000][85/535][53812] Loss_D: -0.026570 Loss_G: 0.023561 Loss_D_real: -0.020380 Loss_D_fake 0.006191
[524/5000][90/535][53813] Loss_D: -0.024824 Loss_G: 0.000306 Loss_D_real: 0.012516 Loss_D_fake 0.037340
[524/5000][95/535][53814] Loss_D: -0.024378 Loss_G: -0.007327 Loss_D_real: -0.001091 Loss_D_fake 0.023286
[524/5000][100/535][53815] Loss_D: -0.025460 Loss_G: -0.002127 Loss_D_real: -0.004138 Loss_D_fake 0.021322
[524/5000][105/535][53816] Loss_D: -0.025101 Loss_G: -0.014425 Loss_D_real: -0.009494 Loss_D_fake 0.015607
[524/5000][110/535][53817] Loss_D: -0.026337 Loss_G: 0.015364 Loss_D_real: -0.003529 Loss_D_fake 0.022808
[524/5000][115/535][53818] Loss_D: -0.026142 Loss_G: -0.000341 Loss_D_real: -0.015833 Loss_D_fake 0.010309
[524/5000][120/535][53819] Loss_D: -0.024994 Loss_G: 0.018184 Loss_D_real: -0.027966 Loss_D_fake -0.002972
[524/5000][125/535][53820] Loss_D: -0.026397 Loss_G: -0.008774 Loss_D_real: -0.005872 Loss_D_fake 0.020525
[524/5000][130/535][53821] Loss_D: -0.025950 Loss_G: -0.002930 Loss_D_real: -0.006896 Loss_D_fake 0.019054
[524/5000][135/535][53822] Loss_D: -0.027017 Loss_G: 0.016493 Loss_D_real: -0.018857 Loss_D_fake 0.008160
[524/5000][140/535][53823] Loss_D: -0.027054 Loss_G: 0.002901 Loss_D_real: -0.019172 Loss_D_fake 0.007882
[524/5000][145/535][53824] Loss_D: -0.026129 Loss_G: 0.023407 Loss_D_real: -0.018680 Loss_D_fake 0.007449
[524/5000][150/535][53825] Loss_D: -0.025451 Loss_G: 0.023912 Loss_D_real: -0.032937 Loss_D_fake -0.007486
[524/5000][155/535][53826] Loss_D: -0.024793 Loss_G: 0.010650 Loss_D_real: -0.017295 Loss_D_fake 0.007498
[524/5000][160/535][53827] Loss_D: -0.024061 Loss_G: 0.032673 Loss_D_real: -0.032748 Loss_D_fake -0.008686
[524/5000][165/535][53828] Loss_D: -0.026296 Loss_G: 0.006339 Loss_D_real: 0.007717 Loss_D_fake 0.034013
[524/5000][170/535][53829] Loss_D: -0.024410 Loss_G: 0.012961 Loss_D_real: -0.016269 Loss_D_fake 0.008140
[524/5000][175/535][53830] Loss_D: -0.025442 Loss_G: -0.009896 Loss_D_real: 0.001202 Loss_D_fake 0.026643
[524/5000][180/535][53831] Loss_D: -0.025279 Loss_G: 0.023419 Loss_D_real: -0.023526 Loss_D_fake 0.001753
[524/5000][185/535][53832] Loss_D: -0.026011 Loss_G: 0.025538 Loss_D_real: -0.029748 Loss_D_fake -0.003738
[524/5000][190/535][53833] Loss_D: -0.026659 Loss_G: -0.004778 Loss_D_real: -0.002662 Loss_D_fake 0.023997
[524/5000][195/535][53834] Loss_D: -0.027385 Loss_G: 0.016263 Loss_D_real: -0.017356 Loss_D_fake 0.010029
[524/5000][200/535][53835] Loss_D: -0.027296 Loss_G: 0.023548 Loss_D_real: -0.022829 Loss_D_fake 0.004467
[524/5000][205/535][53836] Loss_D: -0.027083 Loss_G: 0.021229 Loss_D_real: -0.023153 Loss_D_fake 0.003931
[524/5000][210/535][53837] Loss_D: -0.027110 Loss_G: -0.011418 Loss_D_real: 0.000634 Loss_D_fake 0.027744
[524/5000][215/535][53838] Loss_D: -0.025916 Loss_G: 0.024897 Loss_D_real: -0.024166 Loss_D_fake 0.001749
[524/5000][220/535][53839] Loss_D: -0.025874 Loss_G: -0.002936 Loss_D_real: 0.003411 Loss_D_fake 0.029285
[524/5000][225/535][53840] Loss_D: -0.026013 Loss_G: 0.014014 Loss_D_real: -0.020332 Loss_D_fake 0.005681
[524/5000][230/535][53841] Loss_D: -0.026780 Loss_G: -0.010192 Loss_D_real: -0.002102 Loss_D_fake 0.024678
[524/5000][235/535][53842] Loss_D: -0.025538 Loss_G: 0.019077 Loss_D_real: -0.016203 Loss_D_fake 0.009336
[524/5000][240/535][53843] Loss_D: -0.026399 Loss_G: 0.001795 Loss_D_real: -0.013769 Loss_D_fake 0.012630
[524/5000][245/535][53844] Loss_D: -0.026707 Loss_G: 0.017089 Loss_D_real: -0.031798 Loss_D_fake -0.005092
[524/5000][250/535][53845] Loss_D: -0.027191 Loss_G: 0.020934 Loss_D_real: -0.009718 Loss_D_fake 0.017472
[524/5000][255/535][53846] Loss_D: -0.025702 Loss_G: 0.016506 Loss_D_real: -0.016023 Loss_D_fake 0.009679
[524/5000][260/535][53847] Loss_D: -0.027790 Loss_G: 0.016015 Loss_D_real: -0.014853 Loss_D_fake 0.012937
[524/5000][265/535][53848] Loss_D: -0.026050 Loss_G: 0.027316 Loss_D_real: -0.020909 Loss_D_fake 0.005141
[524/5000][270/535][53849] Loss_D: -0.026418 Loss_G: -0.002806 Loss_D_real: -0.005481 Loss_D_fake 0.020937
[524/5000][275/535][53850] Loss_D: -0.025392 Loss_G: 0.024392 Loss_D_real: -0.023571 Loss_D_fake 0.001822
[524/5000][280/535][53851] Loss_D: -0.026554 Loss_G: 0.011527 Loss_D_real: -0.018659 Loss_D_fake 0.007895
[524/5000][285/535][53852] Loss_D: -0.025880 Loss_G: -0.002172 Loss_D_real: 0.000699 Loss_D_fake 0.026579
[524/5000][290/535][53853] Loss_D: -0.027109 Loss_G: 0.008889 Loss_D_real: -0.019190 Loss_D_fake 0.007919
[524/5000][295/535][53854] Loss_D: -0.026586 Loss_G: 0.020158 Loss_D_real: -0.029069 Loss_D_fake -0.002483
[524/5000][300/535][53855] Loss_D: -0.025741 Loss_G: 0.018688 Loss_D_real: -0.024783 Loss_D_fake 0.000959
[524/5000][305/535][53856] Loss_D: -0.027416 Loss_G: 0.026706 Loss_D_real: -0.018604 Loss_D_fake 0.008813
[524/5000][310/535][53857] Loss_D: -0.026166 Loss_G: -0.009554 Loss_D_real: 0.001036 Loss_D_fake 0.027203
[524/5000][315/535][53858] Loss_D: -0.025960 Loss_G: 0.023736 Loss_D_real: -0.025009 Loss_D_fake 0.000952
[524/5000][320/535][53859] Loss_D: -0.024567 Loss_G: -0.001542 Loss_D_real: -0.001624 Loss_D_fake 0.022944
[524/5000][325/535][53860] Loss_D: -0.026891 Loss_G: 0.008784 Loss_D_real: -0.020802 Loss_D_fake 0.006089
[524/5000][330/535][53861] Loss_D: -0.025256 Loss_G: 0.026726 Loss_D_real: -0.036997 Loss_D_fake -0.011741
[524/5000][335/535][53862] Loss_D: -0.026029 Loss_G: -0.002136 Loss_D_real: -0.006890 Loss_D_fake 0.019139
[524/5000][340/535][53863] Loss_D: -0.025819 Loss_G: 0.014139 Loss_D_real: -0.015139 Loss_D_fake 0.010680
[524/5000][345/535][53864] Loss_D: -0.027239 Loss_G: 0.023753 Loss_D_real: -0.023473 Loss_D_fake 0.003766
[524/5000][350/535][53865] Loss_D: -0.027024 Loss_G: -0.001261 Loss_D_real: 0.004663 Loss_D_fake 0.031687
[524/5000][355/535][53866] Loss_D: -0.025982 Loss_G: 0.037687 Loss_D_real: -0.032786 Loss_D_fake -0.006804
[524/5000][360/535][53867] Loss_D: -0.027260 Loss_G: 0.004423 Loss_D_real: -0.012642 Loss_D_fake 0.014618
[524/5000][365/535][53868] Loss_D: -0.025507 Loss_G: 0.017321 Loss_D_real: -0.028876 Loss_D_fake -0.003369
[524/5000][370/535][53869] Loss_D: -0.026560 Loss_G: 0.007241 Loss_D_real: -0.011540 Loss_D_fake 0.015020
[524/5000][375/535][53870] Loss_D: -0.026652 Loss_G: 0.002008 Loss_D_real: -0.015504 Loss_D_fake 0.011148
[524/5000][380/535][53871] Loss_D: -0.026242 Loss_G: 0.021918 Loss_D_real: -0.026009 Loss_D_fake 0.000234
[524/5000][385/535][53872] Loss_D: -0.026769 Loss_G: 0.001760 Loss_D_real: -0.002094 Loss_D_fake 0.024676
[524/5000][390/535][53873] Loss_D: -0.027030 Loss_G: 0.000414 Loss_D_real: -0.002191 Loss_D_fake 0.024839
[524/5000][395/535][53874] Loss_D: -0.024720 Loss_G: 0.029262 Loss_D_real: -0.031591 Loss_D_fake -0.006870
[524/5000][400/535][53875] Loss_D: -0.025259 Loss_G: 0.023328 Loss_D_real: -0.028447 Loss_D_fake -0.003189
[524/5000][405/535][53876] Loss_D: -0.027617 Loss_G: 0.008624 Loss_D_real: -0.016350 Loss_D_fake 0.011267
[524/5000][410/535][53877] Loss_D: -0.028078 Loss_G: 0.021343 Loss_D_real: -0.018746 Loss_D_fake 0.009331
[524/5000][415/535][53878] Loss_D: -0.026010 Loss_G: 0.007400 Loss_D_real: -0.011491 Loss_D_fake 0.014519
[524/5000][420/535][53879] Loss_D: -0.025723 Loss_G: 0.013885 Loss_D_real: -0.017636 Loss_D_fake 0.008086
[524/5000][425/535][53880] Loss_D: -0.025029 Loss_G: -0.008121 Loss_D_real: -0.005487 Loss_D_fake 0.019541
[524/5000][430/535][53881] Loss_D: -0.026566 Loss_G: 0.024836 Loss_D_real: -0.014805 Loss_D_fake 0.011761
[524/5000][435/535][53882] Loss_D: -0.029000 Loss_G: 0.022727 Loss_D_real: -0.031759 Loss_D_fake -0.002760
[524/5000][440/535][53883] Loss_D: -0.026690 Loss_G: -0.002741 Loss_D_real: -0.010809 Loss_D_fake 0.015881
[524/5000][445/535][53884] Loss_D: -0.025860 Loss_G: 0.034340 Loss_D_real: -0.033031 Loss_D_fake -0.007171
[524/5000][450/535][53885] Loss_D: -0.028253 Loss_G: 0.015214 Loss_D_real: -0.018599 Loss_D_fake 0.009653
[524/5000][455/535][53886] Loss_D: -0.027365 Loss_G: 0.021420 Loss_D_real: -0.024022 Loss_D_fake 0.003343
[524/5000][460/535][53887] Loss_D: -0.027523 Loss_G: 0.008219 Loss_D_real: -0.019574 Loss_D_fake 0.007950
[524/5000][465/535][53888] Loss_D: -0.026155 Loss_G: 0.004071 Loss_D_real: -0.017476 Loss_D_fake 0.008679
[524/5000][470/535][53889] Loss_D: -0.028012 Loss_G: 0.017280 Loss_D_real: -0.013202 Loss_D_fake 0.014810
[524/5000][475/535][53890] Loss_D: -0.027645 Loss_G: 0.011800 Loss_D_real: -0.018497 Loss_D_fake 0.009149
[524/5000][480/535][53891] Loss_D: -0.026351 Loss_G: 0.023032 Loss_D_real: -0.027298 Loss_D_fake -0.000947
[524/5000][485/535][53892] Loss_D: -0.025828 Loss_G: 0.036661 Loss_D_real: -0.042305 Loss_D_fake -0.016477
[524/5000][490/535][53893] Loss_D: -0.026810 Loss_G: 0.005436 Loss_D_real: -0.019210 Loss_D_fake 0.007600
[524/5000][495/535][53894] Loss_D: -0.026034 Loss_G: 0.008922 Loss_D_real: -0.017804 Loss_D_fake 0.008229
[524/5000][500/535][53895] Loss_D: -0.026042 Loss_G: 0.028189 Loss_D_real: -0.025672 Loss_D_fake 0.000370
[524/5000][505/535][53896] Loss_D: -0.025795 Loss_G: 0.025440 Loss_D_real: -0.031459 Loss_D_fake -0.005664
[524/5000][510/535][53897] Loss_D: -0.025967 Loss_G: 0.020796 Loss_D_real: -0.024741 Loss_D_fake 0.001226
[524/5000][515/535][53898] Loss_D: -0.025616 Loss_G: 0.013522 Loss_D_real: -0.016049 Loss_D_fake 0.009566
[524/5000][520/535][53899] Loss_D: -0.024814 Loss_G: 0.016605 Loss_D_real: -0.025068 Loss_D_fake -0.000254
[524/5000][525/535][53900] Loss_D: -0.026754 Loss_G: 0.021160 Loss_D_real: -0.032007 Loss_D_fake -0.005253
[524/5000][530/535][53901] Loss_D: -0.026644 Loss_G: 0.016477 Loss_D_real: -0.016639 Loss_D_fake 0.010004
[524/5000][535/535][53902] Loss_D: -0.030199 Loss_G: 0.024177 Loss_D_real: -0.017250 Loss_D_fake 0.012949
[525/5000][5/535][53903] Loss_D: -0.026339 Loss_G: -0.005848 Loss_D_real: -0.003206 Loss_D_fake 0.023133
[525/5000][10/535][53904] Loss_D: -0.025485 Loss_G: 0.031336 Loss_D_real: -0.033472 Loss_D_fake -0.007987
[525/5000][15/535][53905] Loss_D: -0.027169 Loss_G: 0.010859 Loss_D_real: -0.026683 Loss_D_fake 0.000486
[525/5000][20/535][53906] Loss_D: -0.025636 Loss_G: 0.010361 Loss_D_real: -0.015738 Loss_D_fake 0.009898
[525/5000][25/535][53907] Loss_D: -0.025275 Loss_G: 0.009981 Loss_D_real: -0.010982 Loss_D_fake 0.014294
[525/5000][30/535][53908] Loss_D: -0.024422 Loss_G: 0.002602 Loss_D_real: -0.012685 Loss_D_fake 0.011737
[525/5000][35/535][53909] Loss_D: -0.025261 Loss_G: -0.000819 Loss_D_real: -0.005059 Loss_D_fake 0.020202
[525/5000][40/535][53910] Loss_D: -0.025119 Loss_G: 0.009590 Loss_D_real: -0.026894 Loss_D_fake -0.001775
[525/5000][45/535][53911] Loss_D: -0.025968 Loss_G: 0.018317 Loss_D_real: -0.024993 Loss_D_fake 0.000974
[525/5000][50/535][53912] Loss_D: -0.026412 Loss_G: 0.003419 Loss_D_real: -0.017304 Loss_D_fake 0.009108
[525/5000][55/535][53913] Loss_D: -0.025600 Loss_G: 0.040765 Loss_D_real: -0.023596 Loss_D_fake 0.002004
[525/5000][60/535][53914] Loss_D: -0.026517 Loss_G: 0.021013 Loss_D_real: -0.026268 Loss_D_fake 0.000249
[525/5000][65/535][53915] Loss_D: -0.026660 Loss_G: 0.027651 Loss_D_real: -0.030175 Loss_D_fake -0.003515
[525/5000][70/535][53916] Loss_D: -0.026415 Loss_G: 0.010768 Loss_D_real: -0.007453 Loss_D_fake 0.018963
[525/5000][75/535][53917] Loss_D: -0.025796 Loss_G: 0.012717 Loss_D_real: -0.024827 Loss_D_fake 0.000969
[525/5000][80/535][53918] Loss_D: -0.027278 Loss_G: 0.013093 Loss_D_real: -0.016277 Loss_D_fake 0.011002
[525/5000][85/535][53919] Loss_D: -0.025900 Loss_G: 0.031241 Loss_D_real: -0.034889 Loss_D_fake -0.008989
[525/5000][90/535][53920] Loss_D: -0.026990 Loss_G: 0.000108 Loss_D_real: -0.006873 Loss_D_fake 0.020118
[525/5000][95/535][53921] Loss_D: -0.025697 Loss_G: -0.003531 Loss_D_real: 0.002807 Loss_D_fake 0.028505
[525/5000][100/535][53922] Loss_D: -0.025309 Loss_G: 0.009888 Loss_D_real: -0.019490 Loss_D_fake 0.005819
[525/5000][105/535][53923] Loss_D: -0.026666 Loss_G: 0.001302 Loss_D_real: -0.004882 Loss_D_fake 0.021785
[525/5000][110/535][53924] Loss_D: -0.025157 Loss_G: 0.004962 Loss_D_real: -0.013612 Loss_D_fake 0.011545
[525/5000][115/535][53925] Loss_D: -0.025993 Loss_G: -0.006095 Loss_D_real: -0.005464 Loss_D_fake 0.020530
[525/5000][120/535][53926] Loss_D: -0.027632 Loss_G: 0.017991 Loss_D_real: -0.020713 Loss_D_fake 0.006918
[525/5000][125/535][53927] Loss_D: -0.025970 Loss_G: -0.006370 Loss_D_real: -0.005321 Loss_D_fake 0.020650
[525/5000][130/535][53928] Loss_D: -0.026604 Loss_G: 0.031184 Loss_D_real: -0.028198 Loss_D_fake -0.001594
[525/5000][135/535][53929] Loss_D: -0.025018 Loss_G: 0.003575 Loss_D_real: -0.011934 Loss_D_fake 0.013083
[525/5000][140/535][53930] Loss_D: -0.026548 Loss_G: 0.008914 Loss_D_real: -0.027024 Loss_D_fake -0.000475
[525/5000][145/535][53931] Loss_D: -0.026944 Loss_G: 0.016158 Loss_D_real: -0.021218 Loss_D_fake 0.005726
[525/5000][150/535][53932] Loss_D: -0.026698 Loss_G: 0.015989 Loss_D_real: -0.025366 Loss_D_fake 0.001332
[525/5000][155/535][53933] Loss_D: -0.024837 Loss_G: -0.007237 Loss_D_real: 0.001132 Loss_D_fake 0.025970
[525/5000][160/535][53934] Loss_D: -0.024237 Loss_G: 0.028446 Loss_D_real: -0.023626 Loss_D_fake 0.000611
[525/5000][165/535][53935] Loss_D: -0.025930 Loss_G: 0.021832 Loss_D_real: -0.023804 Loss_D_fake 0.002127
[525/5000][170/535][53936] Loss_D: -0.026623 Loss_G: 0.020196 Loss_D_real: -0.015623 Loss_D_fake 0.011000
[525/5000][175/535][53937] Loss_D: -0.025323 Loss_G: 0.006678 Loss_D_real: -0.017687 Loss_D_fake 0.007636
[525/5000][180/535][53938] Loss_D: -0.026656 Loss_G: 0.025344 Loss_D_real: -0.033153 Loss_D_fake -0.006497
[525/5000][185/535][53939] Loss_D: -0.026619 Loss_G: 0.012488 Loss_D_real: -0.004637 Loss_D_fake 0.021982
[525/5000][190/535][53940] Loss_D: -0.026543 Loss_G: 0.002401 Loss_D_real: -0.010173 Loss_D_fake 0.016370
[525/5000][195/535][53941] Loss_D: -0.025708 Loss_G: 0.024070 Loss_D_real: -0.026498 Loss_D_fake -0.000791
[525/5000][200/535][53942] Loss_D: -0.025711 Loss_G: -0.004608 Loss_D_real: -0.000331 Loss_D_fake 0.025380
[525/5000][205/535][53943] Loss_D: -0.025808 Loss_G: 0.026497 Loss_D_real: -0.025355 Loss_D_fake 0.000454
[525/5000][210/535][53944] Loss_D: -0.026967 Loss_G: 0.020526 Loss_D_real: -0.016608 Loss_D_fake 0.010359
[525/5000][215/535][53945] Loss_D: -0.025806 Loss_G: 0.008431 Loss_D_real: -0.020723 Loss_D_fake 0.005082
[525/5000][220/535][53946] Loss_D: -0.026229 Loss_G: 0.025645 Loss_D_real: -0.031577 Loss_D_fake -0.005347
[525/5000][225/535][53947] Loss_D: -0.026740 Loss_G: 0.013192 Loss_D_real: -0.025589 Loss_D_fake 0.001151
[525/5000][230/535][53948] Loss_D: -0.026402 Loss_G: 0.015487 Loss_D_real: -0.016716 Loss_D_fake 0.009686
[525/5000][235/535][53949] Loss_D: -0.026450 Loss_G: 0.009945 Loss_D_real: -0.010091 Loss_D_fake 0.016359
[525/5000][240/535][53950] Loss_D: -0.024523 Loss_G: 0.024114 Loss_D_real: -0.034397 Loss_D_fake -0.009874
[525/5000][245/535][53951] Loss_D: -0.025410 Loss_G: -0.000014 Loss_D_real: -0.008572 Loss_D_fake 0.016838
[525/5000][250/535][53952] Loss_D: -0.026733 Loss_G: 0.011600 Loss_D_real: -0.014534 Loss_D_fake 0.012199
[525/5000][255/535][53953] Loss_D: -0.026184 Loss_G: 0.021699 Loss_D_real: -0.016002 Loss_D_fake 0.010182
[525/5000][260/535][53954] Loss_D: -0.026012 Loss_G: 0.007410 Loss_D_real: -0.013940 Loss_D_fake 0.012072
[525/5000][265/535][53955] Loss_D: -0.024835 Loss_G: 0.023302 Loss_D_real: -0.024259 Loss_D_fake 0.000576
[525/5000][270/535][53956] Loss_D: -0.026488 Loss_G: 0.015967 Loss_D_real: -0.020557 Loss_D_fake 0.005931
[525/5000][275/535][53957] Loss_D: -0.025664 Loss_G: 0.019867 Loss_D_real: -0.024323 Loss_D_fake 0.001341
[525/5000][280/535][53958] Loss_D: -0.026596 Loss_G: 0.016202 Loss_D_real: -0.020904 Loss_D_fake 0.005692
[525/5000][285/535][53959] Loss_D: -0.026759 Loss_G: 0.038676 Loss_D_real: -0.031484 Loss_D_fake -0.004725
[525/5000][290/535][53960] Loss_D: -0.026687 Loss_G: -0.000832 Loss_D_real: 0.001105 Loss_D_fake 0.027792
[525/5000][295/535][53961] Loss_D: -0.025317 Loss_G: 0.010352 Loss_D_real: -0.012569 Loss_D_fake 0.012748
[525/5000][300/535][53962] Loss_D: -0.025683 Loss_G: 0.012654 Loss_D_real: -0.014105 Loss_D_fake 0.011577
[525/5000][305/535][53963] Loss_D: -0.026180 Loss_G: 0.019409 Loss_D_real: -0.024247 Loss_D_fake 0.001933
[525/5000][310/535][53964] Loss_D: -0.025860 Loss_G: 0.026186 Loss_D_real: -0.039290 Loss_D_fake -0.013430
[525/5000][315/535][53965] Loss_D: -0.026794 Loss_G: 0.009080 Loss_D_real: -0.013113 Loss_D_fake 0.013682
[525/5000][320/535][53966] Loss_D: -0.026273 Loss_G: 0.025852 Loss_D_real: -0.021458 Loss_D_fake 0.004816
[525/5000][325/535][53967] Loss_D: -0.026716 Loss_G: -0.009082 Loss_D_real: -0.010539 Loss_D_fake 0.016177
[525/5000][330/535][53968] Loss_D: -0.025577 Loss_G: 0.009188 Loss_D_real: -0.015443 Loss_D_fake 0.010134
[525/5000][335/535][53969] Loss_D: -0.026068 Loss_G: 0.012764 Loss_D_real: -0.015509 Loss_D_fake 0.010560
[525/5000][340/535][53970] Loss_D: -0.025494 Loss_G: 0.033638 Loss_D_real: -0.036396 Loss_D_fake -0.010902
[525/5000][345/535][53971] Loss_D: -0.026051 Loss_G: -0.001113 Loss_D_real: -0.008603 Loss_D_fake 0.017448
[525/5000][350/535][53972] Loss_D: -0.025951 Loss_G: -0.012828 Loss_D_real: -0.003673 Loss_D_fake 0.022279
[525/5000][355/535][53973] Loss_D: -0.025246 Loss_G: 0.023238 Loss_D_real: -0.039073 Loss_D_fake -0.013828
[525/5000][360/535][53974] Loss_D: -0.025458 Loss_G: 0.000916 Loss_D_real: -0.004642 Loss_D_fake 0.020817
[525/5000][365/535][53975] Loss_D: -0.025678 Loss_G: 0.013702 Loss_D_real: -0.011246 Loss_D_fake 0.014432
[525/5000][370/535][53976] Loss_D: -0.025099 Loss_G: 0.011110 Loss_D_real: -0.017279 Loss_D_fake 0.007819
[525/5000][375/535][53977] Loss_D: -0.023906 Loss_G: 0.028558 Loss_D_real: -0.024551 Loss_D_fake -0.000645
[525/5000][380/535][53978] Loss_D: -0.024970 Loss_G: -0.000973 Loss_D_real: 0.001862 Loss_D_fake 0.026832
[525/5000][385/535][53979] Loss_D: -0.027248 Loss_G: 0.009306 Loss_D_real: -0.008861 Loss_D_fake 0.018387
[525/5000][390/535][53980] Loss_D: -0.025662 Loss_G: 0.019026 Loss_D_real: -0.026200 Loss_D_fake -0.000539
[525/5000][395/535][53981] Loss_D: -0.025567 Loss_G: 0.029337 Loss_D_real: -0.024448 Loss_D_fake 0.001119
[525/5000][400/535][53982] Loss_D: -0.026490 Loss_G: -0.004995 Loss_D_real: -0.005926 Loss_D_fake 0.020564
[525/5000][405/535][53983] Loss_D: -0.025958 Loss_G: 0.006531 Loss_D_real: -0.016276 Loss_D_fake 0.009682
[525/5000][410/535][53984] Loss_D: -0.026438 Loss_G: 0.015734 Loss_D_real: -0.022699 Loss_D_fake 0.003739
[525/5000][415/535][53985] Loss_D: -0.025965 Loss_G: -0.002650 Loss_D_real: 0.000823 Loss_D_fake 0.026788
[525/5000][420/535][53986] Loss_D: -0.026594 Loss_G: 0.013032 Loss_D_real: -0.012634 Loss_D_fake 0.013960
[525/5000][425/535][53987] Loss_D: -0.027594 Loss_G: 0.012494 Loss_D_real: -0.019159 Loss_D_fake 0.008435
[525/5000][430/535][53988] Loss_D: -0.027363 Loss_G: 0.000334 Loss_D_real: -0.002065 Loss_D_fake 0.025298
[525/5000][435/535][53989] Loss_D: -0.026018 Loss_G: 0.011959 Loss_D_real: -0.022998 Loss_D_fake 0.003020
[525/5000][440/535][53990] Loss_D: -0.025920 Loss_G: 0.006812 Loss_D_real: -0.019155 Loss_D_fake 0.006766
[525/5000][445/535][53991] Loss_D: -0.027186 Loss_G: 0.014902 Loss_D_real: -0.013644 Loss_D_fake 0.013542
[525/5000][450/535][53992] Loss_D: -0.026456 Loss_G: 0.005079 Loss_D_real: -0.022380 Loss_D_fake 0.004075
[525/5000][455/535][53993] Loss_D: -0.024824 Loss_G: 0.010274 Loss_D_real: -0.007400 Loss_D_fake 0.017424
[525/5000][460/535][53994] Loss_D: -0.027158 Loss_G: 0.015813 Loss_D_real: -0.023349 Loss_D_fake 0.003809
[525/5000][465/535][53995] Loss_D: -0.026498 Loss_G: 0.017218 Loss_D_real: -0.025104 Loss_D_fake 0.001394
[525/5000][470/535][53996] Loss_D: -0.026500 Loss_G: 0.018096 Loss_D_real: -0.025852 Loss_D_fake 0.000648
[525/5000][475/535][53997] Loss_D: -0.026880 Loss_G: 0.018367 Loss_D_real: -0.024577 Loss_D_fake 0.002303
[525/5000][480/535][53998] Loss_D: -0.026660 Loss_G: 0.006944 Loss_D_real: -0.021866 Loss_D_fake 0.004794
[525/5000][485/535][53999] Loss_D: -0.025574 Loss_G: 0.017776 Loss_D_real: -0.014893 Loss_D_fake 0.010681
[525/5000][490/535][54000] Loss_D: -0.026082 Loss_G: -0.001807 Loss_D_real: -0.001201 Loss_D_fake 0.024881
[525/5000][535/535][54001] Loss_D: -0.029644 Loss_G: 0.008036 Loss_D_real: 0.000237 Loss_D_fake 0.029881
[526/5000][5/535][54002] Loss_D: -0.027732 Loss_G: 0.032252 Loss_D_real: -0.021010 Loss_D_fake 0.006723
[526/5000][10/535][54003] Loss_D: -0.025358 Loss_G: 0.011754 Loss_D_real: -0.016505 Loss_D_fake 0.008853
[526/5000][15/535][54004] Loss_D: -0.026092 Loss_G: 0.013338 Loss_D_real: -0.021146 Loss_D_fake 0.004946
[526/5000][20/535][54005] Loss_D: -0.026070 Loss_G: -0.000790 Loss_D_real: -0.003115 Loss_D_fake 0.022955
[526/5000][25/535][54006] Loss_D: -0.024398 Loss_G: 0.021114 Loss_D_real: -0.034500 Loss_D_fake -0.010103
[526/5000][30/535][54007] Loss_D: -0.027191 Loss_G: 0.028410 Loss_D_real: -0.016719 Loss_D_fake 0.010472
[526/5000][35/535][54008] Loss_D: -0.026636 Loss_G: 0.001112 Loss_D_real: -0.011802 Loss_D_fake 0.014834
[526/5000][40/535][54009] Loss_D: -0.026446 Loss_G: 0.009885 Loss_D_real: -0.012269 Loss_D_fake 0.014177
[526/5000][45/535][54010] Loss_D: -0.025785 Loss_G: 0.022515 Loss_D_real: -0.031964 Loss_D_fake -0.006179
[526/5000][50/535][54011] Loss_D: -0.027746 Loss_G: 0.015787 Loss_D_real: -0.022066 Loss_D_fake 0.005680
[526/5000][55/535][54012] Loss_D: -0.027164 Loss_G: 0.004332 Loss_D_real: -0.003017 Loss_D_fake 0.024147
[526/5000][60/535][54013] Loss_D: -0.026023 Loss_G: 0.014008 Loss_D_real: -0.014886 Loss_D_fake 0.011137
[526/5000][65/535][54014] Loss_D: -0.024599 Loss_G: 0.024610 Loss_D_real: -0.036065 Loss_D_fake -0.011466
[526/5000][70/535][54015] Loss_D: -0.025405 Loss_G: 0.010711 Loss_D_real: -0.012391 Loss_D_fake 0.013015
[526/5000][75/535][54016] Loss_D: -0.025677 Loss_G: -0.002555 Loss_D_real: 0.011619 Loss_D_fake 0.037296
[526/5000][80/535][54017] Loss_D: -0.024460 Loss_G: 0.035082 Loss_D_real: -0.025899 Loss_D_fake -0.001439
[526/5000][85/535][54018] Loss_D: -0.026103 Loss_G: -0.013296 Loss_D_real: 0.004228 Loss_D_fake 0.030330
[526/5000][90/535][54019] Loss_D: -0.024944 Loss_G: 0.023737 Loss_D_real: -0.022953 Loss_D_fake 0.001991
[526/5000][95/535][54020] Loss_D: -0.026140 Loss_G: 0.017031 Loss_D_real: -0.011105 Loss_D_fake 0.015035
[526/5000][100/535][54021] Loss_D: -0.025708 Loss_G: 0.026864 Loss_D_real: -0.025340 Loss_D_fake 0.000368
[526/5000][105/535][54022] Loss_D: -0.026838 Loss_G: 0.017363 Loss_D_real: -0.017275 Loss_D_fake 0.009564
[526/5000][110/535][54023] Loss_D: -0.025789 Loss_G: 0.028313 Loss_D_real: -0.025536 Loss_D_fake 0.000252
[526/5000][115/535][54024] Loss_D: -0.026656 Loss_G: 0.026355 Loss_D_real: -0.035036 Loss_D_fake -0.008380
[526/5000][120/535][54025] Loss_D: -0.026390 Loss_G: -0.016845 Loss_D_real: -0.002204 Loss_D_fake 0.024185
[526/5000][125/535][54026] Loss_D: -0.025410 Loss_G: 0.000983 Loss_D_real: -0.010707 Loss_D_fake 0.014703
[526/5000][130/535][54027] Loss_D: -0.026378 Loss_G: 0.011592 Loss_D_real: -0.022553 Loss_D_fake 0.003825
[526/5000][135/535][54028] Loss_D: -0.026143 Loss_G: 0.011556 Loss_D_real: -0.007144 Loss_D_fake 0.018998
[526/5000][140/535][54029] Loss_D: -0.024843 Loss_G: 0.025384 Loss_D_real: -0.019988 Loss_D_fake 0.004855
[526/5000][145/535][54030] Loss_D: -0.026657 Loss_G: 0.013261 Loss_D_real: -0.019885 Loss_D_fake 0.006772
[526/5000][150/535][54031] Loss_D: -0.026450 Loss_G: -0.008461 Loss_D_real: -0.004546 Loss_D_fake 0.021904
[526/5000][155/535][54032] Loss_D: -0.026014 Loss_G: 0.012820 Loss_D_real: -0.015148 Loss_D_fake 0.010866
[526/5000][160/535][54033] Loss_D: -0.025822 Loss_G: 0.025694 Loss_D_real: -0.023282 Loss_D_fake 0.002541
[526/5000][165/535][54034] Loss_D: -0.024926 Loss_G: -0.004493 Loss_D_real: -0.010775 Loss_D_fake 0.014151
[526/5000][170/535][54035] Loss_D: -0.024629 Loss_G: 0.005688 Loss_D_real: -0.013894 Loss_D_fake 0.010734
[526/5000][175/535][54036] Loss_D: -0.025288 Loss_G: 0.020855 Loss_D_real: -0.026269 Loss_D_fake -0.000981
[526/5000][180/535][54037] Loss_D: -0.025432 Loss_G: 0.012455 Loss_D_real: -0.016831 Loss_D_fake 0.008601
[526/5000][185/535][54038] Loss_D: -0.025691 Loss_G: 0.024929 Loss_D_real: -0.032921 Loss_D_fake -0.007230
[526/5000][190/535][54039] Loss_D: -0.025722 Loss_G: 0.020522 Loss_D_real: -0.008667 Loss_D_fake 0.017054
[526/5000][195/535][54040] Loss_D: -0.028237 Loss_G: -0.004079 Loss_D_real: -0.001871 Loss_D_fake 0.026367
[526/5000][200/535][54041] Loss_D: -0.026164 Loss_G: -0.006266 Loss_D_real: -0.008692 Loss_D_fake 0.017472
[526/5000][205/535][54042] Loss_D: -0.025337 Loss_G: 0.016452 Loss_D_real: -0.023272 Loss_D_fake 0.002065
[526/5000][210/535][54043] Loss_D: -0.024989 Loss_G: 0.024085 Loss_D_real: -0.023287 Loss_D_fake 0.001703
[526/5000][215/535][54044] Loss_D: -0.026135 Loss_G: 0.007582 Loss_D_real: -0.009458 Loss_D_fake 0.016677
[526/5000][220/535][54045] Loss_D: -0.026578 Loss_G: -0.006426 Loss_D_real: -0.008973 Loss_D_fake 0.017605
[526/5000][225/535][54046] Loss_D: -0.026398 Loss_G: 0.017717 Loss_D_real: -0.026742 Loss_D_fake -0.000343
[526/5000][230/535][54047] Loss_D: -0.026999 Loss_G: 0.034460 Loss_D_real: -0.029009 Loss_D_fake -0.002010
[526/5000][235/535][54048] Loss_D: -0.026299 Loss_G: 0.018150 Loss_D_real: -0.018535 Loss_D_fake 0.007765
[526/5000][240/535][54049] Loss_D: -0.026257 Loss_G: 0.031093 Loss_D_real: -0.032994 Loss_D_fake -0.006737
[526/5000][245/535][54050] Loss_D: -0.027463 Loss_G: -0.001526 Loss_D_real: -0.006920 Loss_D_fake 0.020543
[526/5000][250/535][54051] Loss_D: -0.026976 Loss_G: 0.015871 Loss_D_real: -0.021792 Loss_D_fake 0.005185
[526/5000][255/535][54052] Loss_D: -0.027680 Loss_G: 0.016601 Loss_D_real: -0.026546 Loss_D_fake 0.001134
[526/5000][260/535][54053] Loss_D: -0.026487 Loss_G: 0.026035 Loss_D_real: -0.020099 Loss_D_fake 0.006387
[526/5000][265/535][54054] Loss_D: -0.025399 Loss_G: 0.023066 Loss_D_real: -0.027579 Loss_D_fake -0.002179
[526/5000][270/535][54055] Loss_D: -0.026844 Loss_G: 0.001284 Loss_D_real: -0.008826 Loss_D_fake 0.018018
[526/5000][275/535][54056] Loss_D: -0.024931 Loss_G: 0.000184 Loss_D_real: -0.005168 Loss_D_fake 0.019763
[526/5000][280/535][54057] Loss_D: -0.026035 Loss_G: 0.017526 Loss_D_real: -0.017555 Loss_D_fake 0.008479
[526/5000][285/535][54058] Loss_D: -0.028410 Loss_G: 0.020404 Loss_D_real: -0.024584 Loss_D_fake 0.003827
[526/5000][290/535][54059] Loss_D: -0.026108 Loss_G: 0.004351 Loss_D_real: -0.005904 Loss_D_fake 0.020203
[526/5000][295/535][54060] Loss_D: -0.026792 Loss_G: 0.011205 Loss_D_real: -0.019014 Loss_D_fake 0.007778
[526/5000][300/535][54061] Loss_D: -0.025965 Loss_G: 0.025052 Loss_D_real: -0.026408 Loss_D_fake -0.000443
[526/5000][305/535][54062] Loss_D: -0.028452 Loss_G: -0.010969 Loss_D_real: -0.000973 Loss_D_fake 0.027479
[526/5000][310/535][54063] Loss_D: -0.024985 Loss_G: 0.026412 Loss_D_real: -0.020055 Loss_D_fake 0.004930
[526/5000][315/535][54064] Loss_D: -0.026680 Loss_G: 0.007670 Loss_D_real: -0.007598 Loss_D_fake 0.019081
[526/5000][320/535][54065] Loss_D: -0.025983 Loss_G: 0.019826 Loss_D_real: -0.017688 Loss_D_fake 0.008295
[526/5000][325/535][54066] Loss_D: -0.026880 Loss_G: 0.008358 Loss_D_real: -0.008438 Loss_D_fake 0.018442
[526/5000][330/535][54067] Loss_D: -0.026476 Loss_G: 0.024163 Loss_D_real: -0.027061 Loss_D_fake -0.000585
[526/5000][335/535][54068] Loss_D: -0.026784 Loss_G: 0.017713 Loss_D_real: -0.017756 Loss_D_fake 0.009028
[526/5000][340/535][54069] Loss_D: -0.024694 Loss_G: 0.019528 Loss_D_real: -0.024159 Loss_D_fake 0.000536
[526/5000][345/535][54070] Loss_D: -0.025043 Loss_G: -0.016778 Loss_D_real: -0.001629 Loss_D_fake 0.023413
[526/5000][350/535][54071] Loss_D: -0.027165 Loss_G: 0.031845 Loss_D_real: -0.025902 Loss_D_fake 0.001262
[526/5000][355/535][54072] Loss_D: -0.025216 Loss_G: -0.010396 Loss_D_real: 0.000538 Loss_D_fake 0.025754
[526/5000][360/535][54073] Loss_D: -0.026541 Loss_G: 0.023219 Loss_D_real: -0.033701 Loss_D_fake -0.007161
[526/5000][365/535][54074] Loss_D: -0.026930 Loss_G: 0.021663 Loss_D_real: -0.022578 Loss_D_fake 0.004351
[526/5000][370/535][54075] Loss_D: -0.025754 Loss_G: 0.034650 Loss_D_real: -0.017986 Loss_D_fake 0.007768
[526/5000][375/535][54076] Loss_D: -0.025153 Loss_G: 0.015197 Loss_D_real: -0.007898 Loss_D_fake 0.017256
[526/5000][380/535][54077] Loss_D: -0.025834 Loss_G: 0.000829 Loss_D_real: -0.004142 Loss_D_fake 0.021692
[526/5000][385/535][54078] Loss_D: -0.025789 Loss_G: 0.015885 Loss_D_real: -0.024785 Loss_D_fake 0.001004
[526/5000][390/535][54079] Loss_D: -0.026264 Loss_G: 0.005600 Loss_D_real: -0.004749 Loss_D_fake 0.021515
[526/5000][395/535][54080] Loss_D: -0.025027 Loss_G: 0.021934 Loss_D_real: -0.031766 Loss_D_fake -0.006739
[526/5000][400/535][54081] Loss_D: -0.025379 Loss_G: 0.026871 Loss_D_real: -0.015548 Loss_D_fake 0.009831
[526/5000][405/535][54082] Loss_D: -0.025782 Loss_G: 0.022535 Loss_D_real: -0.024581 Loss_D_fake 0.001201
[526/5000][410/535][54083] Loss_D: -0.025358 Loss_G: 0.026396 Loss_D_real: -0.028238 Loss_D_fake -0.002880
[526/5000][415/535][54084] Loss_D: -0.026112 Loss_G: 0.007978 Loss_D_real: -0.011574 Loss_D_fake 0.014537
[526/5000][420/535][54085] Loss_D: -0.024978 Loss_G: 0.020132 Loss_D_real: -0.019981 Loss_D_fake 0.004997
[526/5000][425/535][54086] Loss_D: -0.026125 Loss_G: -0.008093 Loss_D_real: 0.003958 Loss_D_fake 0.030084
[526/5000][430/535][54087] Loss_D: -0.024565 Loss_G: 0.029786 Loss_D_real: -0.029337 Loss_D_fake -0.004771
[526/5000][435/535][54088] Loss_D: -0.025245 Loss_G: 0.009322 Loss_D_real: -0.020296 Loss_D_fake 0.004950
[526/5000][440/535][54089] Loss_D: -0.025465 Loss_G: 0.023272 Loss_D_real: -0.019391 Loss_D_fake 0.006074
[526/5000][445/535][54090] Loss_D: -0.026273 Loss_G: -0.000150 Loss_D_real: -0.007735 Loss_D_fake 0.018538
[526/5000][450/535][54091] Loss_D: -0.024644 Loss_G: 0.001127 Loss_D_real: -0.010390 Loss_D_fake 0.014254
[526/5000][455/535][54092] Loss_D: -0.025580 Loss_G: 0.000208 Loss_D_real: -0.010239 Loss_D_fake 0.015342
[526/5000][460/535][54093] Loss_D: -0.025452 Loss_G: 0.013388 Loss_D_real: -0.020503 Loss_D_fake 0.004949
[526/5000][465/535][54094] Loss_D: -0.024268 Loss_G: 0.031797 Loss_D_real: -0.034532 Loss_D_fake -0.010264
[526/5000][470/535][54095] Loss_D: -0.026808 Loss_G: 0.011905 Loss_D_real: -0.018348 Loss_D_fake 0.008460
[526/5000][475/535][54096] Loss_D: -0.025606 Loss_G: 0.007772 Loss_D_real: -0.007443 Loss_D_fake 0.018163
[526/5000][480/535][54097] Loss_D: -0.026386 Loss_G: 0.010367 Loss_D_real: -0.017055 Loss_D_fake 0.009330
[526/5000][485/535][54098] Loss_D: -0.025699 Loss_G: 0.038035 Loss_D_real: -0.025672 Loss_D_fake 0.000027
[526/5000][490/535][54099] Loss_D: -0.025886 Loss_G: -0.001285 Loss_D_real: -0.006671 Loss_D_fake 0.019215
[526/5000][495/535][54100] Loss_D: -0.025631 Loss_G: 0.032557 Loss_D_real: -0.032377 Loss_D_fake -0.006746
[526/5000][500/535][54101] Loss_D: -0.027606 Loss_G: 0.001967 Loss_D_real: -0.012774 Loss_D_fake 0.014832
[526/5000][505/535][54102] Loss_D: -0.026430 Loss_G: 0.017928 Loss_D_real: -0.023333 Loss_D_fake 0.003097
[526/5000][510/535][54103] Loss_D: -0.026905 Loss_G: 0.000919 Loss_D_real: -0.003006 Loss_D_fake 0.023899
[526/5000][515/535][54104] Loss_D: -0.027274 Loss_G: -0.001471 Loss_D_real: -0.007341 Loss_D_fake 0.019933
[526/5000][520/535][54105] Loss_D: -0.026683 Loss_G: 0.013882 Loss_D_real: -0.021121 Loss_D_fake 0.005562
[526/5000][525/535][54106] Loss_D: -0.025354 Loss_G: 0.015352 Loss_D_real: -0.020095 Loss_D_fake 0.005259
[526/5000][530/535][54107] Loss_D: -0.025604 Loss_G: 0.044663 Loss_D_real: -0.031489 Loss_D_fake -0.005885
[526/5000][535/535][54108] Loss_D: -0.025492 Loss_G: 0.031469 Loss_D_real: -0.025107 Loss_D_fake 0.000385
[527/5000][5/535][54109] Loss_D: -0.026513 Loss_G: 0.019409 Loss_D_real: -0.025521 Loss_D_fake 0.000992
[527/5000][10/535][54110] Loss_D: -0.027054 Loss_G: 0.015312 Loss_D_real: -0.021651 Loss_D_fake 0.005403
[527/5000][15/535][54111] Loss_D: -0.026632 Loss_G: 0.013038 Loss_D_real: -0.015265 Loss_D_fake 0.011367
[527/5000][20/535][54112] Loss_D: -0.026663 Loss_G: 0.023938 Loss_D_real: -0.028310 Loss_D_fake -0.001647
[527/5000][25/535][54113] Loss_D: -0.026446 Loss_G: -0.001993 Loss_D_real: -0.016942 Loss_D_fake 0.009504
[527/5000][30/535][54114] Loss_D: -0.026624 Loss_G: 0.012131 Loss_D_real: -0.013123 Loss_D_fake 0.013501
[527/5000][35/535][54115] Loss_D: -0.026299 Loss_G: 0.019920 Loss_D_real: -0.021683 Loss_D_fake 0.004616
[527/5000][40/535][54116] Loss_D: -0.027081 Loss_G: 0.017541 Loss_D_real: -0.016186 Loss_D_fake 0.010895
[527/5000][45/535][54117] Loss_D: -0.027039 Loss_G: 0.025218 Loss_D_real: -0.027089 Loss_D_fake -0.000050
[527/5000][50/535][54118] Loss_D: -0.025731 Loss_G: -0.007669 Loss_D_real: 0.000723 Loss_D_fake 0.026454
[527/5000][55/535][54119] Loss_D: -0.026912 Loss_G: 0.011767 Loss_D_real: -0.021018 Loss_D_fake 0.005894
[527/5000][60/535][54120] Loss_D: -0.026024 Loss_G: 0.018443 Loss_D_real: -0.021933 Loss_D_fake 0.004091
[527/5000][65/535][54121] Loss_D: -0.027200 Loss_G: -0.002378 Loss_D_real: -0.009778 Loss_D_fake 0.017422
[527/5000][70/535][54122] Loss_D: -0.027676 Loss_G: 0.006214 Loss_D_real: -0.010350 Loss_D_fake 0.017326
[527/5000][75/535][54123] Loss_D: -0.027413 Loss_G: 0.006699 Loss_D_real: -0.015296 Loss_D_fake 0.012117
[527/5000][80/535][54124] Loss_D: -0.026948 Loss_G: 0.018371 Loss_D_real: -0.026575 Loss_D_fake 0.000372
[527/5000][85/535][54125] Loss_D: -0.026119 Loss_G: 0.001580 Loss_D_real: -0.009781 Loss_D_fake 0.016338
[527/5000][90/535][54126] Loss_D: -0.026192 Loss_G: 0.012157 Loss_D_real: -0.013465 Loss_D_fake 0.012727
[527/5000][95/535][54127] Loss_D: -0.024717 Loss_G: 0.035102 Loss_D_real: -0.038341 Loss_D_fake -0.013624
[527/5000][100/535][54128] Loss_D: -0.026315 Loss_G: 0.019213 Loss_D_real: -0.025733 Loss_D_fake 0.000582
[527/5000][105/535][54129] Loss_D: -0.025473 Loss_G: -0.001704 Loss_D_real: -0.000910 Loss_D_fake 0.024563
[527/5000][110/535][54130] Loss_D: -0.024293 Loss_G: 0.024797 Loss_D_real: -0.022118 Loss_D_fake 0.002176
[527/5000][115/535][54131] Loss_D: -0.024836 Loss_G: 0.022008 Loss_D_real: -0.032876 Loss_D_fake -0.008040
[527/5000][120/535][54132] Loss_D: -0.027621 Loss_G: 0.011973 Loss_D_real: -0.012588 Loss_D_fake 0.015033
[527/5000][125/535][54133] Loss_D: -0.026792 Loss_G: 0.009926 Loss_D_real: -0.013729 Loss_D_fake 0.013063
[527/5000][130/535][54134] Loss_D: -0.026871 Loss_G: 0.004465 Loss_D_real: -0.003960 Loss_D_fake 0.022911
[527/5000][135/535][54135] Loss_D: -0.026474 Loss_G: 0.001497 Loss_D_real: -0.006565 Loss_D_fake 0.019909
[527/5000][140/535][54136] Loss_D: -0.024961 Loss_G: -0.010869 Loss_D_real: 0.000909 Loss_D_fake 0.025870
[527/5000][145/535][54137] Loss_D: -0.024590 Loss_G: 0.004892 Loss_D_real: -0.015374 Loss_D_fake 0.009216
[527/5000][150/535][54138] Loss_D: -0.025818 Loss_G: -0.000885 Loss_D_real: -0.020578 Loss_D_fake 0.005240
[527/5000][155/535][54139] Loss_D: -0.026042 Loss_G: 0.020392 Loss_D_real: -0.019825 Loss_D_fake 0.006217
[527/5000][160/535][54140] Loss_D: -0.028650 Loss_G: 0.017182 Loss_D_real: -0.014793 Loss_D_fake 0.013857
[527/5000][165/535][54141] Loss_D: -0.026709 Loss_G: 0.016405 Loss_D_real: -0.019791 Loss_D_fake 0.006918
[527/5000][170/535][54142] Loss_D: -0.028374 Loss_G: 0.013395 Loss_D_real: -0.024834 Loss_D_fake 0.003540
[527/5000][175/535][54143] Loss_D: -0.026213 Loss_G: 0.026094 Loss_D_real: -0.023301 Loss_D_fake 0.002913
[527/5000][180/535][54144] Loss_D: -0.026712 Loss_G: 0.036861 Loss_D_real: -0.040008 Loss_D_fake -0.013296
[527/5000][185/535][54145] Loss_D: -0.027002 Loss_G: 0.020128 Loss_D_real: -0.014675 Loss_D_fake 0.012327
[527/5000][190/535][54146] Loss_D: -0.026017 Loss_G: 0.031295 Loss_D_real: -0.029599 Loss_D_fake -0.003583
[527/5000][195/535][54147] Loss_D: -0.025409 Loss_G: -0.014866 Loss_D_real: -0.008608 Loss_D_fake 0.016801
[527/5000][200/535][54148] Loss_D: -0.026775 Loss_G: 0.008221 Loss_D_real: -0.019172 Loss_D_fake 0.007602
[527/5000][205/535][54149] Loss_D: -0.026366 Loss_G: 0.025622 Loss_D_real: -0.027769 Loss_D_fake -0.001403
[527/5000][210/535][54150] Loss_D: -0.026643 Loss_G: -0.009776 Loss_D_real: -0.010328 Loss_D_fake 0.016315
[527/5000][215/535][54151] Loss_D: -0.027091 Loss_G: -0.000352 Loss_D_real: -0.006930 Loss_D_fake 0.020161
[527/5000][220/535][54152] Loss_D: -0.025353 Loss_G: 0.021797 Loss_D_real: -0.024236 Loss_D_fake 0.001117
[527/5000][225/535][54153] Loss_D: -0.026125 Loss_G: -0.012163 Loss_D_real: -0.003357 Loss_D_fake 0.022768
[527/5000][230/535][54154] Loss_D: -0.024878 Loss_G: 0.017644 Loss_D_real: -0.027328 Loss_D_fake -0.002450
[527/5000][235/535][54155] Loss_D: -0.026910 Loss_G: 0.019942 Loss_D_real: -0.012224 Loss_D_fake 0.014685
[527/5000][240/535][54156] Loss_D: -0.024453 Loss_G: 0.010884 Loss_D_real: -0.023406 Loss_D_fake 0.001047
[527/5000][245/535][54157] Loss_D: -0.025854 Loss_G: 0.034062 Loss_D_real: -0.036295 Loss_D_fake -0.010441
[527/5000][250/535][54158] Loss_D: -0.027419 Loss_G: 0.018096 Loss_D_real: -0.020318 Loss_D_fake 0.007101
[527/5000][255/535][54159] Loss_D: -0.026434 Loss_G: 0.005921 Loss_D_real: -0.015729 Loss_D_fake 0.010705
[527/5000][260/535][54160] Loss_D: -0.026798 Loss_G: 0.006284 Loss_D_real: -0.006834 Loss_D_fake 0.019964
[527/5000][265/535][54161] Loss_D: -0.025822 Loss_G: 0.003722 Loss_D_real: -0.012360 Loss_D_fake 0.013462
[527/5000][270/535][54162] Loss_D: -0.026573 Loss_G: 0.011700 Loss_D_real: -0.010959 Loss_D_fake 0.015614
[527/5000][275/535][54163] Loss_D: -0.026411 Loss_G: 0.027300 Loss_D_real: -0.012215 Loss_D_fake 0.014196
[527/5000][280/535][54164] Loss_D: -0.024871 Loss_G: 0.004549 Loss_D_real: -0.013005 Loss_D_fake 0.011866
[527/5000][285/535][54165] Loss_D: -0.025601 Loss_G: 0.014595 Loss_D_real: -0.012871 Loss_D_fake 0.012730
[527/5000][290/535][54166] Loss_D: -0.027031 Loss_G: 0.033145 Loss_D_real: -0.026068 Loss_D_fake 0.000963
[527/5000][295/535][54167] Loss_D: -0.025290 Loss_G: -0.006348 Loss_D_real: -0.010549 Loss_D_fake 0.014741
[527/5000][300/535][54168] Loss_D: -0.025310 Loss_G: 0.008027 Loss_D_real: -0.017960 Loss_D_fake 0.007350
[527/5000][305/535][54169] Loss_D: -0.026640 Loss_G: 0.024906 Loss_D_real: -0.027571 Loss_D_fake -0.000930
[527/5000][310/535][54170] Loss_D: -0.026998 Loss_G: 0.017313 Loss_D_real: -0.017692 Loss_D_fake 0.009306
[527/5000][315/535][54171] Loss_D: -0.025770 Loss_G: 0.039745 Loss_D_real: -0.028627 Loss_D_fake -0.002857
[527/5000][320/535][54172] Loss_D: -0.026212 Loss_G: 0.009009 Loss_D_real: -0.007967 Loss_D_fake 0.018245
[527/5000][325/535][54173] Loss_D: -0.027130 Loss_G: 0.005831 Loss_D_real: -0.027498 Loss_D_fake -0.000368
[527/5000][330/535][54174] Loss_D: -0.025802 Loss_G: 0.021623 Loss_D_real: -0.032109 Loss_D_fake -0.006307
[527/5000][335/535][54175] Loss_D: -0.027174 Loss_G: 0.000022 Loss_D_real: -0.003966 Loss_D_fake 0.023208
[527/5000][340/535][54176] Loss_D: -0.024852 Loss_G: 0.036489 Loss_D_real: -0.034595 Loss_D_fake -0.009743
[527/5000][345/535][54177] Loss_D: -0.025695 Loss_G: 0.028627 Loss_D_real: -0.036946 Loss_D_fake -0.011251
[527/5000][350/535][54178] Loss_D: -0.026144 Loss_G: -0.006048 Loss_D_real: 0.007687 Loss_D_fake 0.033831
[527/5000][355/535][54179] Loss_D: -0.025396 Loss_G: 0.011291 Loss_D_real: -0.024216 Loss_D_fake 0.001180
[527/5000][360/535][54180] Loss_D: -0.026084 Loss_G: 0.003008 Loss_D_real: -0.019626 Loss_D_fake 0.006459
[527/5000][365/535][54181] Loss_D: -0.025579 Loss_G: 0.005405 Loss_D_real: -0.004935 Loss_D_fake 0.020644
[527/5000][370/535][54182] Loss_D: -0.026053 Loss_G: 0.017444 Loss_D_real: -0.016568 Loss_D_fake 0.009484
[527/5000][375/535][54183] Loss_D: -0.025513 Loss_G: -0.001699 Loss_D_real: -0.008860 Loss_D_fake 0.016653
[527/5000][380/535][54184] Loss_D: -0.026458 Loss_G: 0.021311 Loss_D_real: -0.017534 Loss_D_fake 0.008924
[527/5000][385/535][54185] Loss_D: -0.024683 Loss_G: 0.023143 Loss_D_real: -0.024892 Loss_D_fake -0.000209
[527/5000][390/535][54186] Loss_D: -0.026647 Loss_G: -0.003634 Loss_D_real: -0.013486 Loss_D_fake 0.013161
[527/5000][395/535][54187] Loss_D: -0.025275 Loss_G: 0.018886 Loss_D_real: -0.020368 Loss_D_fake 0.004908
[527/5000][400/535][54188] Loss_D: -0.026321 Loss_G: 0.010512 Loss_D_real: -0.007387 Loss_D_fake 0.018934
[527/5000][405/535][54189] Loss_D: -0.024920 Loss_G: -0.005577 Loss_D_real: 0.005515 Loss_D_fake 0.030435
[527/5000][410/535][54190] Loss_D: -0.024293 Loss_G: 0.005702 Loss_D_real: -0.010420 Loss_D_fake 0.013873
[527/5000][415/535][54191] Loss_D: -0.025996 Loss_G: 0.033993 Loss_D_real: -0.034402 Loss_D_fake -0.008406
[527/5000][420/535][54192] Loss_D: -0.026576 Loss_G: 0.005741 Loss_D_real: -0.026316 Loss_D_fake 0.000261
[527/5000][425/535][54193] Loss_D: -0.025940 Loss_G: 0.016374 Loss_D_real: -0.027605 Loss_D_fake -0.001665
[527/5000][430/535][54194] Loss_D: -0.025486 Loss_G: 0.018915 Loss_D_real: -0.016789 Loss_D_fake 0.008697
[527/5000][435/535][54195] Loss_D: -0.026387 Loss_G: 0.017825 Loss_D_real: -0.025383 Loss_D_fake 0.001005
[527/5000][440/535][54196] Loss_D: -0.026523 Loss_G: 0.011321 Loss_D_real: -0.010384 Loss_D_fake 0.016139
[527/5000][445/535][54197] Loss_D: -0.025775 Loss_G: 0.022328 Loss_D_real: -0.038333 Loss_D_fake -0.012558
[527/5000][450/535][54198] Loss_D: -0.026520 Loss_G: 0.004369 Loss_D_real: -0.020207 Loss_D_fake 0.006313
[527/5000][455/535][54199] Loss_D: -0.027335 Loss_G: -0.001013 Loss_D_real: -0.018460 Loss_D_fake 0.008875
[527/5000][460/535][54200] Loss_D: -0.025229 Loss_G: -0.006770 Loss_D_real: 0.000109 Loss_D_fake 0.025338
[527/5000][465/535][54201] Loss_D: -0.024831 Loss_G: 0.036845 Loss_D_real: -0.026479 Loss_D_fake -0.001648
[527/5000][470/535][54202] Loss_D: -0.027867 Loss_G: 0.010455 Loss_D_real: -0.018497 Loss_D_fake 0.009369
[527/5000][475/535][54203] Loss_D: -0.027066 Loss_G: 0.027626 Loss_D_real: -0.023597 Loss_D_fake 0.003469
[527/5000][480/535][54204] Loss_D: -0.025553 Loss_G: 0.025676 Loss_D_real: -0.025662 Loss_D_fake -0.000109
[527/5000][485/535][54205] Loss_D: -0.026801 Loss_G: 0.001755 Loss_D_real: -0.003637 Loss_D_fake 0.023164
[527/5000][490/535][54206] Loss_D: -0.027561 Loss_G: -0.016208 Loss_D_real: -0.010103 Loss_D_fake 0.017458
[527/5000][495/535][54207] Loss_D: -0.027440 Loss_G: 0.007413 Loss_D_real: -0.009919 Loss_D_fake 0.017521
[527/5000][500/535][54208] Loss_D: -0.026267 Loss_G: 0.011736 Loss_D_real: -0.010403 Loss_D_fake 0.015864
[527/5000][505/535][54209] Loss_D: -0.025858 Loss_G: 0.015624 Loss_D_real: -0.022448 Loss_D_fake 0.003410
[527/5000][510/535][54210] Loss_D: -0.027459 Loss_G: -0.003505 Loss_D_real: -0.007607 Loss_D_fake 0.019852
[527/5000][515/535][54211] Loss_D: -0.026727 Loss_G: 0.006422 Loss_D_real: -0.005493 Loss_D_fake 0.021234
[527/5000][520/535][54212] Loss_D: -0.023708 Loss_G: 0.035024 Loss_D_real: -0.040270 Loss_D_fake -0.016562
[527/5000][525/535][54213] Loss_D: -0.025769 Loss_G: 0.030269 Loss_D_real: -0.030966 Loss_D_fake -0.005196
[527/5000][530/535][54214] Loss_D: -0.025895 Loss_G: 0.012371 Loss_D_real: -0.016578 Loss_D_fake 0.009316
[527/5000][535/535][54215] Loss_D: -0.023936 Loss_G: 0.002348 Loss_D_real: -0.004873 Loss_D_fake 0.019062
[528/5000][5/535][54216] Loss_D: -0.026996 Loss_G: 0.026214 Loss_D_real: -0.026825 Loss_D_fake 0.000171
[528/5000][10/535][54217] Loss_D: -0.026214 Loss_G: 0.029149 Loss_D_real: -0.027672 Loss_D_fake -0.001458
[528/5000][15/535][54218] Loss_D: -0.025962 Loss_G: 0.000709 Loss_D_real: -0.013785 Loss_D_fake 0.012177
[528/5000][20/535][54219] Loss_D: -0.025521 Loss_G: 0.008872 Loss_D_real: -0.021207 Loss_D_fake 0.004315
[528/5000][25/535][54220] Loss_D: -0.026264 Loss_G: -0.012664 Loss_D_real: -0.009303 Loss_D_fake 0.016961
[528/5000][30/535][54221] Loss_D: -0.025145 Loss_G: 0.026207 Loss_D_real: -0.032175 Loss_D_fake -0.007030
[528/5000][35/535][54222] Loss_D: -0.025675 Loss_G: 0.011410 Loss_D_real: -0.005329 Loss_D_fake 0.020346
[528/5000][40/535][54223] Loss_D: -0.025391 Loss_G: 0.017825 Loss_D_real: -0.019432 Loss_D_fake 0.005959
[528/5000][45/535][54224] Loss_D: -0.026074 Loss_G: 0.015071 Loss_D_real: -0.005443 Loss_D_fake 0.020631
[528/5000][50/535][54225] Loss_D: -0.026963 Loss_G: 0.014660 Loss_D_real: -0.019147 Loss_D_fake 0.007816
[528/5000][55/535][54226] Loss_D: -0.027100 Loss_G: 0.004001 Loss_D_real: -0.011517 Loss_D_fake 0.015583
[528/5000][60/535][54227] Loss_D: -0.025984 Loss_G: -0.001447 Loss_D_real: -0.009715 Loss_D_fake 0.016269
[528/5000][65/535][54228] Loss_D: -0.025253 Loss_G: 0.018694 Loss_D_real: -0.027276 Loss_D_fake -0.002023
[528/5000][70/535][54229] Loss_D: -0.025210 Loss_G: 0.005967 Loss_D_real: -0.016164 Loss_D_fake 0.009046
[528/5000][75/535][54230] Loss_D: -0.027780 Loss_G: 0.015922 Loss_D_real: -0.019524 Loss_D_fake 0.008256
[528/5000][80/535][54231] Loss_D: -0.028141 Loss_G: 0.017947 Loss_D_real: -0.012614 Loss_D_fake 0.015527
[528/5000][85/535][54232] Loss_D: -0.027985 Loss_G: 0.013482 Loss_D_real: -0.013788 Loss_D_fake 0.014196
[528/5000][90/535][54233] Loss_D: -0.026046 Loss_G: -0.000981 Loss_D_real: -0.025708 Loss_D_fake 0.000339
[528/5000][95/535][54234] Loss_D: -0.025857 Loss_G: -0.019782 Loss_D_real: 0.004036 Loss_D_fake 0.029893
[528/5000][100/535][54235] Loss_D: -0.025206 Loss_G: 0.023140 Loss_D_real: -0.020142 Loss_D_fake 0.005064
[528/5000][105/535][54236] Loss_D: -0.024705 Loss_G: 0.009018 Loss_D_real: -0.021647 Loss_D_fake 0.003058
[528/5000][110/535][54237] Loss_D: -0.025263 Loss_G: 0.001849 Loss_D_real: -0.007620 Loss_D_fake 0.017643
[528/5000][115/535][54238] Loss_D: -0.025768 Loss_G: 0.037697 Loss_D_real: -0.036803 Loss_D_fake -0.011035
[528/5000][120/535][54239] Loss_D: -0.024987 Loss_G: -0.002754 Loss_D_real: -0.001612 Loss_D_fake 0.023374
[528/5000][125/535][54240] Loss_D: -0.024567 Loss_G: 0.010184 Loss_D_real: -0.016488 Loss_D_fake 0.008079
[528/5000][130/535][54241] Loss_D: -0.025252 Loss_G: 0.023786 Loss_D_real: -0.032373 Loss_D_fake -0.007121
[528/5000][135/535][54242] Loss_D: -0.024442 Loss_G: -0.011395 Loss_D_real: -0.000373 Loss_D_fake 0.024068
[528/5000][140/535][54243] Loss_D: -0.027055 Loss_G: 0.010209 Loss_D_real: -0.026739 Loss_D_fake 0.000316
[528/5000][145/535][54244] Loss_D: -0.025734 Loss_G: 0.025868 Loss_D_real: -0.022221 Loss_D_fake 0.003513
[528/5000][150/535][54245] Loss_D: -0.025422 Loss_G: 0.002362 Loss_D_real: -0.005003 Loss_D_fake 0.020419
[528/5000][155/535][54246] Loss_D: -0.025067 Loss_G: 0.010366 Loss_D_real: -0.025697 Loss_D_fake -0.000629
[528/5000][160/535][54247] Loss_D: -0.026694 Loss_G: 0.025300 Loss_D_real: -0.023062 Loss_D_fake 0.003632
[528/5000][165/535][54248] Loss_D: -0.026210 Loss_G: -0.003127 Loss_D_real: 0.000075 Loss_D_fake 0.026284
[528/5000][170/535][54249] Loss_D: -0.025738 Loss_G: 0.016132 Loss_D_real: -0.034613 Loss_D_fake -0.008876
[528/5000][175/535][54250] Loss_D: -0.027729 Loss_G: 0.003446 Loss_D_real: -0.013169 Loss_D_fake 0.014560
[528/5000][180/535][54251] Loss_D: -0.026244 Loss_G: 0.021221 Loss_D_real: -0.022506 Loss_D_fake 0.003738
[528/5000][185/535][54252] Loss_D: -0.026372 Loss_G: 0.025403 Loss_D_real: -0.037654 Loss_D_fake -0.011283
[528/5000][190/535][54253] Loss_D: -0.027581 Loss_G: -0.002105 Loss_D_real: -0.004618 Loss_D_fake 0.022963
[528/5000][195/535][54254] Loss_D: -0.026643 Loss_G: 0.001212 Loss_D_real: 0.004012 Loss_D_fake 0.030654
[528/5000][200/535][54255] Loss_D: -0.024999 Loss_G: -0.001454 Loss_D_real: -0.003847 Loss_D_fake 0.021153
[528/5000][205/535][54256] Loss_D: -0.025985 Loss_G: 0.015583 Loss_D_real: -0.018292 Loss_D_fake 0.007693
[528/5000][210/535][54257] Loss_D: -0.025151 Loss_G: 0.020483 Loss_D_real: -0.023289 Loss_D_fake 0.001862
[528/5000][215/535][54258] Loss_D: -0.026109 Loss_G: -0.006497 Loss_D_real: -0.003233 Loss_D_fake 0.022876
[528/5000][220/535][54259] Loss_D: -0.024745 Loss_G: 0.022240 Loss_D_real: -0.022040 Loss_D_fake 0.002705
[528/5000][225/535][54260] Loss_D: -0.025477 Loss_G: 0.034825 Loss_D_real: -0.038572 Loss_D_fake -0.013096
[528/5000][230/535][54261] Loss_D: -0.026616 Loss_G: 0.004426 Loss_D_real: -0.016689 Loss_D_fake 0.009927
[528/5000][235/535][54262] Loss_D: -0.025521 Loss_G: -0.000451 Loss_D_real: -0.013602 Loss_D_fake 0.011919
[528/5000][240/535][54263] Loss_D: -0.026614 Loss_G: 0.025777 Loss_D_real: -0.022942 Loss_D_fake 0.003673
[528/5000][245/535][54264] Loss_D: -0.026622 Loss_G: -0.004227 Loss_D_real: -0.006181 Loss_D_fake 0.020441
[528/5000][250/535][54265] Loss_D: -0.026594 Loss_G: 0.031034 Loss_D_real: -0.023625 Loss_D_fake 0.002969
[528/5000][255/535][54266] Loss_D: -0.025953 Loss_G: 0.003151 Loss_D_real: -0.005804 Loss_D_fake 0.020149
[528/5000][260/535][54267] Loss_D: -0.026834 Loss_G: 0.033420 Loss_D_real: -0.023811 Loss_D_fake 0.003023
[528/5000][265/535][54268] Loss_D: -0.025521 Loss_G: 0.005680 Loss_D_real: -0.012584 Loss_D_fake 0.012937
[528/5000][270/535][54269] Loss_D: -0.027603 Loss_G: -0.000585 Loss_D_real: -0.003675 Loss_D_fake 0.023929
[528/5000][275/535][54270] Loss_D: -0.027173 Loss_G: 0.006408 Loss_D_real: -0.009570 Loss_D_fake 0.017603
[528/5000][280/535][54271] Loss_D: -0.026775 Loss_G: 0.023877 Loss_D_real: -0.026307 Loss_D_fake 0.000468
[528/5000][285/535][54272] Loss_D: -0.026312 Loss_G: -0.001682 Loss_D_real: -0.008080 Loss_D_fake 0.018232
[528/5000][290/535][54273] Loss_D: -0.026866 Loss_G: 0.012503 Loss_D_real: -0.015078 Loss_D_fake 0.011788
[528/5000][295/535][54274] Loss_D: -0.026299 Loss_G: -0.002586 Loss_D_real: -0.007471 Loss_D_fake 0.018827
[528/5000][300/535][54275] Loss_D: -0.025568 Loss_G: 0.029174 Loss_D_real: -0.029113 Loss_D_fake -0.003544
[528/5000][305/535][54276] Loss_D: -0.026107 Loss_G: -0.004143 Loss_D_real: -0.002680 Loss_D_fake 0.023428
[528/5000][310/535][54277] Loss_D: -0.024593 Loss_G: 0.021932 Loss_D_real: -0.027342 Loss_D_fake -0.002750
[528/5000][315/535][54278] Loss_D: -0.025016 Loss_G: 0.016728 Loss_D_real: -0.016916 Loss_D_fake 0.008100
[528/5000][320/535][54279] Loss_D: -0.025385 Loss_G: -0.011961 Loss_D_real: -0.004042 Loss_D_fake 0.021343
[528/5000][325/535][54280] Loss_D: -0.025933 Loss_G: 0.011103 Loss_D_real: -0.006876 Loss_D_fake 0.019057
[528/5000][330/535][54281] Loss_D: -0.025123 Loss_G: 0.038293 Loss_D_real: -0.032268 Loss_D_fake -0.007144
[528/5000][335/535][54282] Loss_D: -0.026016 Loss_G: -0.012069 Loss_D_real: -0.009050 Loss_D_fake 0.016966
[528/5000][340/535][54283] Loss_D: -0.026216 Loss_G: 0.002209 Loss_D_real: -0.016349 Loss_D_fake 0.009867
[528/5000][345/535][54284] Loss_D: -0.022119 Loss_G: 0.040376 Loss_D_real: -0.029777 Loss_D_fake -0.007658
[528/5000][350/535][54285] Loss_D: -0.025735 Loss_G: 0.011237 Loss_D_real: -0.013367 Loss_D_fake 0.012369
[528/5000][355/535][54286] Loss_D: -0.025489 Loss_G: 0.025095 Loss_D_real: -0.029203 Loss_D_fake -0.003714
[528/5000][360/535][54287] Loss_D: -0.026209 Loss_G: -0.001372 Loss_D_real: -0.006708 Loss_D_fake 0.019501
[528/5000][365/535][54288] Loss_D: -0.025251 Loss_G: 0.004580 Loss_D_real: -0.022528 Loss_D_fake 0.002723
[528/5000][370/535][54289] Loss_D: -0.024980 Loss_G: 0.011434 Loss_D_real: -0.011063 Loss_D_fake 0.013916
[528/5000][375/535][54290] Loss_D: -0.027219 Loss_G: 0.022944 Loss_D_real: -0.023073 Loss_D_fake 0.004146
[528/5000][380/535][54291] Loss_D: -0.023800 Loss_G: 0.024621 Loss_D_real: -0.029584 Loss_D_fake -0.005784
[528/5000][385/535][54292] Loss_D: -0.024687 Loss_G: 0.020179 Loss_D_real: -0.018877 Loss_D_fake 0.005810
[528/5000][390/535][54293] Loss_D: -0.026972 Loss_G: 0.034258 Loss_D_real: -0.023430 Loss_D_fake 0.003542
[528/5000][395/535][54294] Loss_D: -0.026883 Loss_G: 0.016273 Loss_D_real: -0.029518 Loss_D_fake -0.002635
[528/5000][400/535][54295] Loss_D: -0.026767 Loss_G: 0.023071 Loss_D_real: -0.020080 Loss_D_fake 0.006687
[528/5000][405/535][54296] Loss_D: -0.027681 Loss_G: 0.017188 Loss_D_real: -0.023969 Loss_D_fake 0.003711
[528/5000][410/535][54297] Loss_D: -0.024248 Loss_G: -0.000304 Loss_D_real: -0.017471 Loss_D_fake 0.006777
[528/5000][415/535][54298] Loss_D: -0.024660 Loss_G: 0.038148 Loss_D_real: -0.031848 Loss_D_fake -0.007188
[528/5000][420/535][54299] Loss_D: -0.026506 Loss_G: 0.017846 Loss_D_real: -0.031273 Loss_D_fake -0.004766
[528/5000][425/535][54300] Loss_D: -0.026441 Loss_G: 0.009761 Loss_D_real: -0.016148 Loss_D_fake 0.010292
[528/5000][430/535][54301] Loss_D: -0.025874 Loss_G: 0.019926 Loss_D_real: -0.026020 Loss_D_fake -0.000145
[528/5000][435/535][54302] Loss_D: -0.026964 Loss_G: 0.003685 Loss_D_real: -0.011575 Loss_D_fake 0.015389
[528/5000][440/535][54303] Loss_D: -0.025442 Loss_G: 0.014407 Loss_D_real: -0.028248 Loss_D_fake -0.002806
[528/5000][445/535][54304] Loss_D: -0.028006 Loss_G: 0.006096 Loss_D_real: -0.010110 Loss_D_fake 0.017895
[528/5000][450/535][54305] Loss_D: -0.026210 Loss_G: 0.018185 Loss_D_real: -0.022435 Loss_D_fake 0.003775
[528/5000][455/535][54306] Loss_D: -0.026246 Loss_G: 0.034680 Loss_D_real: -0.028652 Loss_D_fake -0.002406
[528/5000][460/535][54307] Loss_D: -0.024509 Loss_G: -0.000896 Loss_D_real: 0.000229 Loss_D_fake 0.024738
[528/5000][465/535][54308] Loss_D: -0.024847 Loss_G: 0.027223 Loss_D_real: -0.026787 Loss_D_fake -0.001940
[528/5000][470/535][54309] Loss_D: -0.025927 Loss_G: 0.015855 Loss_D_real: -0.012963 Loss_D_fake 0.012964
[528/5000][475/535][54310] Loss_D: -0.026564 Loss_G: 0.006272 Loss_D_real: -0.018726 Loss_D_fake 0.007837
[528/5000][480/535][54311] Loss_D: -0.026161 Loss_G: 0.026659 Loss_D_real: -0.027054 Loss_D_fake -0.000892
[528/5000][485/535][54312] Loss_D: -0.028221 Loss_G: 0.021958 Loss_D_real: -0.027568 Loss_D_fake 0.000653
[528/5000][490/535][54313] Loss_D: -0.027100 Loss_G: 0.011542 Loss_D_real: -0.007253 Loss_D_fake 0.019846
[528/5000][495/535][54314] Loss_D: -0.026077 Loss_G: 0.013808 Loss_D_real: -0.015805 Loss_D_fake 0.010272
[528/5000][500/535][54315] Loss_D: -0.026044 Loss_G: 0.009264 Loss_D_real: -0.018588 Loss_D_fake 0.007456
[528/5000][505/535][54316] Loss_D: -0.025977 Loss_G: 0.025332 Loss_D_real: -0.029436 Loss_D_fake -0.003459
[528/5000][510/535][54317] Loss_D: -0.026675 Loss_G: 0.008277 Loss_D_real: -0.019774 Loss_D_fake 0.006901
[528/5000][515/535][54318] Loss_D: -0.025212 Loss_G: 0.032598 Loss_D_real: -0.037033 Loss_D_fake -0.011821
[528/5000][520/535][54319] Loss_D: -0.026754 Loss_G: 0.017221 Loss_D_real: -0.013332 Loss_D_fake 0.013422
[528/5000][525/535][54320] Loss_D: -0.026639 Loss_G: 0.032858 Loss_D_real: -0.029216 Loss_D_fake -0.002577
[528/5000][530/535][54321] Loss_D: -0.025427 Loss_G: -0.019017 Loss_D_real: -0.003939 Loss_D_fake 0.021488
[528/5000][535/535][54322] Loss_D: -0.023794 Loss_G: 0.019555 Loss_D_real: -0.013917 Loss_D_fake 0.009878
[529/5000][5/535][54323] Loss_D: -0.025303 Loss_G: 0.005012 Loss_D_real: -0.024554 Loss_D_fake 0.000749
[529/5000][10/535][54324] Loss_D: -0.026417 Loss_G: 0.017177 Loss_D_real: -0.030454 Loss_D_fake -0.004038
[529/5000][15/535][54325] Loss_D: -0.025241 Loss_G: 0.005131 Loss_D_real: -0.001824 Loss_D_fake 0.023416
[529/5000][20/535][54326] Loss_D: -0.027204 Loss_G: 0.006185 Loss_D_real: -0.011471 Loss_D_fake 0.015733
[529/5000][25/535][54327] Loss_D: -0.025732 Loss_G: 0.005569 Loss_D_real: -0.000203 Loss_D_fake 0.025529
[529/5000][30/535][54328] Loss_D: -0.026500 Loss_G: -0.001994 Loss_D_real: -0.006178 Loss_D_fake 0.020321
[529/5000][35/535][54329] Loss_D: -0.026081 Loss_G: -0.004024 Loss_D_real: -0.006562 Loss_D_fake 0.019520
[529/5000][40/535][54330] Loss_D: -0.026063 Loss_G: 0.043472 Loss_D_real: -0.036244 Loss_D_fake -0.010181
[529/5000][45/535][54331] Loss_D: -0.026442 Loss_G: 0.016653 Loss_D_real: -0.016395 Loss_D_fake 0.010047
[529/5000][50/535][54332] Loss_D: -0.026731 Loss_G: 0.000852 Loss_D_real: -0.021085 Loss_D_fake 0.005646
[529/5000][55/535][54333] Loss_D: -0.028046 Loss_G: 0.023901 Loss_D_real: -0.029624 Loss_D_fake -0.001578
[529/5000][60/535][54334] Loss_D: -0.025699 Loss_G: -0.007431 Loss_D_real: 0.004004 Loss_D_fake 0.029703
[529/5000][65/535][54335] Loss_D: -0.026420 Loss_G: 0.010843 Loss_D_real: -0.019021 Loss_D_fake 0.007399
[529/5000][70/535][54336] Loss_D: -0.025616 Loss_G: -0.004218 Loss_D_real: -0.011393 Loss_D_fake 0.014223
[529/5000][75/535][54337] Loss_D: -0.025222 Loss_G: 0.005929 Loss_D_real: -0.016993 Loss_D_fake 0.008228
[529/5000][80/535][54338] Loss_D: -0.026280 Loss_G: 0.028006 Loss_D_real: -0.021044 Loss_D_fake 0.005237
[529/5000][85/535][54339] Loss_D: -0.027591 Loss_G: 0.018549 Loss_D_real: -0.025996 Loss_D_fake 0.001595
[529/5000][90/535][54340] Loss_D: -0.026540 Loss_G: -0.010144 Loss_D_real: -0.005498 Loss_D_fake 0.021041
[529/5000][95/535][54341] Loss_D: -0.026267 Loss_G: 0.033834 Loss_D_real: -0.036586 Loss_D_fake -0.010319
[529/5000][100/535][54342] Loss_D: -0.025141 Loss_G: -0.013769 Loss_D_real: 0.003947 Loss_D_fake 0.029088
[529/5000][105/535][54343] Loss_D: -0.026355 Loss_G: 0.012396 Loss_D_real: -0.013415 Loss_D_fake 0.012940
[529/5000][110/535][54344] Loss_D: -0.025117 Loss_G: 0.034507 Loss_D_real: -0.030420 Loss_D_fake -0.005303
[529/5000][115/535][54345] Loss_D: -0.027025 Loss_G: 0.002860 Loss_D_real: -0.012298 Loss_D_fake 0.014727
[529/5000][120/535][54346] Loss_D: -0.024397 Loss_G: 0.041138 Loss_D_real: -0.039119 Loss_D_fake -0.014721
[529/5000][125/535][54347] Loss_D: -0.025718 Loss_G: 0.027049 Loss_D_real: -0.012995 Loss_D_fake 0.012723
[529/5000][130/535][54348] Loss_D: -0.026240 Loss_G: 0.018959 Loss_D_real: -0.016357 Loss_D_fake 0.009883
[529/5000][135/535][54349] Loss_D: -0.023497 Loss_G: 0.037182 Loss_D_real: -0.039697 Loss_D_fake -0.016201
[529/5000][140/535][54350] Loss_D: -0.026906 Loss_G: -0.000729 Loss_D_real: -0.021080 Loss_D_fake 0.005826
[529/5000][145/535][54351] Loss_D: -0.023817 Loss_G: 0.012995 Loss_D_real: -0.013064 Loss_D_fake 0.010754
[529/5000][150/535][54352] Loss_D: -0.025949 Loss_G: 0.022999 Loss_D_real: -0.015187 Loss_D_fake 0.010763
[529/5000][155/535][54353] Loss_D: -0.027007 Loss_G: 0.012130 Loss_D_real: -0.020289 Loss_D_fake 0.006717
[529/5000][160/535][54354] Loss_D: -0.026526 Loss_G: 0.011063 Loss_D_real: 0.002240 Loss_D_fake 0.028766
[529/5000][165/535][54355] Loss_D: -0.026420 Loss_G: 0.020638 Loss_D_real: -0.022840 Loss_D_fake 0.003580
[529/5000][170/535][54356] Loss_D: -0.026437 Loss_G: 0.004895 Loss_D_real: -0.009975 Loss_D_fake 0.016462
[529/5000][175/535][54357] Loss_D: -0.025460 Loss_G: 0.028773 Loss_D_real: -0.031846 Loss_D_fake -0.006385
[529/5000][180/535][54358] Loss_D: -0.026331 Loss_G: 0.027263 Loss_D_real: -0.026966 Loss_D_fake -0.000635
[529/5000][185/535][54359] Loss_D: -0.025822 Loss_G: 0.009336 Loss_D_real: -0.010530 Loss_D_fake 0.015292
[529/5000][190/535][54360] Loss_D: -0.025141 Loss_G: 0.035037 Loss_D_real: -0.029156 Loss_D_fake -0.004015
[529/5000][195/535][54361] Loss_D: -0.026306 Loss_G: 0.009468 Loss_D_real: -0.001642 Loss_D_fake 0.024663
[529/5000][200/535][54362] Loss_D: -0.026168 Loss_G: 0.011805 Loss_D_real: -0.025744 Loss_D_fake 0.000424
[529/5000][205/535][54363] Loss_D: -0.027233 Loss_G: 0.012077 Loss_D_real: -0.014672 Loss_D_fake 0.012561
[529/5000][210/535][54364] Loss_D: -0.027280 Loss_G: -0.005486 Loss_D_real: -0.014667 Loss_D_fake 0.012614
[529/5000][215/535][54365] Loss_D: -0.026778 Loss_G: 0.024140 Loss_D_real: -0.028053 Loss_D_fake -0.001275
[529/5000][220/535][54366] Loss_D: -0.027197 Loss_G: 0.000704 Loss_D_real: -0.013050 Loss_D_fake 0.014147
[529/5000][225/535][54367] Loss_D: -0.026450 Loss_G: 0.025294 Loss_D_real: -0.016940 Loss_D_fake 0.009510
[529/5000][230/535][54368] Loss_D: -0.025271 Loss_G: 0.018896 Loss_D_real: -0.018666 Loss_D_fake 0.006605
[529/5000][235/535][54369] Loss_D: -0.025439 Loss_G: 0.000589 Loss_D_real: -0.006768 Loss_D_fake 0.018672
[529/5000][240/535][54370] Loss_D: -0.025062 Loss_G: 0.023949 Loss_D_real: -0.027717 Loss_D_fake -0.002656
[529/5000][245/535][54371] Loss_D: -0.024578 Loss_G: 0.010743 Loss_D_real: -0.007280 Loss_D_fake 0.017297
[529/5000][250/535][54372] Loss_D: -0.025448 Loss_G: 0.017046 Loss_D_real: -0.020262 Loss_D_fake 0.005186
[529/5000][255/535][54373] Loss_D: -0.025831 Loss_G: 0.002013 Loss_D_real: -0.012851 Loss_D_fake 0.012980
[529/5000][260/535][54374] Loss_D: -0.024458 Loss_G: 0.019547 Loss_D_real: -0.035874 Loss_D_fake -0.011416
[529/5000][265/535][54375] Loss_D: -0.025000 Loss_G: -0.012549 Loss_D_real: 0.005043 Loss_D_fake 0.030043
[529/5000][270/535][54376] Loss_D: -0.024677 Loss_G: 0.023163 Loss_D_real: -0.024349 Loss_D_fake 0.000328
[529/5000][275/535][54377] Loss_D: -0.024621 Loss_G: 0.026363 Loss_D_real: -0.019612 Loss_D_fake 0.005009
[529/5000][280/535][54378] Loss_D: -0.024833 Loss_G: -0.000055 Loss_D_real: -0.006891 Loss_D_fake 0.017942
[529/5000][285/535][54379] Loss_D: -0.024822 Loss_G: 0.021707 Loss_D_real: -0.029039 Loss_D_fake -0.004217
[529/5000][290/535][54380] Loss_D: -0.025644 Loss_G: 0.033351 Loss_D_real: -0.028454 Loss_D_fake -0.002810
[529/5000][295/535][54381] Loss_D: -0.025500 Loss_G: 0.022279 Loss_D_real: -0.028361 Loss_D_fake -0.002861
[529/5000][300/535][54382] Loss_D: -0.026851 Loss_G: 0.009309 Loss_D_real: -0.005611 Loss_D_fake 0.021240
[529/5000][305/535][54383] Loss_D: -0.026191 Loss_G: -0.008463 Loss_D_real: -0.005043 Loss_D_fake 0.021148
[529/5000][310/535][54384] Loss_D: -0.025853 Loss_G: -0.001289 Loss_D_real: -0.000844 Loss_D_fake 0.025009
[529/5000][315/535][54385] Loss_D: -0.025575 Loss_G: 0.005198 Loss_D_real: -0.009168 Loss_D_fake 0.016408
[529/5000][320/535][54386] Loss_D: -0.025177 Loss_G: 0.033984 Loss_D_real: -0.026453 Loss_D_fake -0.001276
[529/5000][325/535][54387] Loss_D: -0.025857 Loss_G: 0.013120 Loss_D_real: -0.011335 Loss_D_fake 0.014522
[529/5000][330/535][54388] Loss_D: -0.026266 Loss_G: -0.004467 Loss_D_real: -0.002975 Loss_D_fake 0.023291
[529/5000][335/535][54389] Loss_D: -0.024972 Loss_G: 0.019117 Loss_D_real: -0.028117 Loss_D_fake -0.003145
[529/5000][340/535][54390] Loss_D: -0.025723 Loss_G: 0.016043 Loss_D_real: -0.020727 Loss_D_fake 0.004996
[529/5000][345/535][54391] Loss_D: -0.027079 Loss_G: 0.033179 Loss_D_real: -0.029243 Loss_D_fake -0.002164
[529/5000][350/535][54392] Loss_D: -0.025539 Loss_G: -0.005758 Loss_D_real: 0.001307 Loss_D_fake 0.026846
[529/5000][355/535][54393] Loss_D: -0.024594 Loss_G: 0.000740 Loss_D_real: -0.015426 Loss_D_fake 0.009168
[529/5000][360/535][54394] Loss_D: -0.025435 Loss_G: 0.010237 Loss_D_real: -0.009653 Loss_D_fake 0.015782
[529/5000][365/535][54395] Loss_D: -0.025596 Loss_G: 0.039645 Loss_D_real: -0.032782 Loss_D_fake -0.007186
[529/5000][370/535][54396] Loss_D: -0.025384 Loss_G: 0.021699 Loss_D_real: -0.018822 Loss_D_fake 0.006562
[529/5000][375/535][54397] Loss_D: -0.026201 Loss_G: 0.031835 Loss_D_real: -0.036395 Loss_D_fake -0.010194
[529/5000][380/535][54398] Loss_D: -0.025610 Loss_G: -0.018346 Loss_D_real: -0.002563 Loss_D_fake 0.023046
[529/5000][385/535][54399] Loss_D: -0.024844 Loss_G: 0.031129 Loss_D_real: -0.033626 Loss_D_fake -0.008783
[529/5000][390/535][54400] Loss_D: -0.026520 Loss_G: 0.018390 Loss_D_real: -0.022025 Loss_D_fake 0.004496
[529/5000][395/535][54401] Loss_D: -0.025398 Loss_G: 0.016253 Loss_D_real: -0.018049 Loss_D_fake 0.007348
[529/5000][400/535][54402] Loss_D: -0.025754 Loss_G: 0.027943 Loss_D_real: -0.023196 Loss_D_fake 0.002558
[529/5000][405/535][54403] Loss_D: -0.024944 Loss_G: 0.010001 Loss_D_real: -0.021431 Loss_D_fake 0.003513
[529/5000][410/535][54404] Loss_D: -0.025101 Loss_G: 0.019998 Loss_D_real: -0.027119 Loss_D_fake -0.002018
[529/5000][415/535][54405] Loss_D: -0.026515 Loss_G: 0.006271 Loss_D_real: -0.015179 Loss_D_fake 0.011335
[529/5000][420/535][54406] Loss_D: -0.026113 Loss_G: 0.015858 Loss_D_real: -0.020683 Loss_D_fake 0.005431
[529/5000][425/535][54407] Loss_D: -0.023226 Loss_G: 0.037749 Loss_D_real: -0.039116 Loss_D_fake -0.015890
[529/5000][430/535][54408] Loss_D: -0.027827 Loss_G: 0.018238 Loss_D_real: -0.024627 Loss_D_fake 0.003201
[529/5000][435/535][54409] Loss_D: -0.027371 Loss_G: 0.011578 Loss_D_real: -0.007225 Loss_D_fake 0.020146
[529/5000][440/535][54410] Loss_D: -0.024340 Loss_G: -0.009821 Loss_D_real: -0.013858 Loss_D_fake 0.010482
[529/5000][445/535][54411] Loss_D: -0.025241 Loss_G: 0.035399 Loss_D_real: -0.027173 Loss_D_fake -0.001932
[529/5000][450/535][54412] Loss_D: -0.025940 Loss_G: 0.013852 Loss_D_real: -0.021185 Loss_D_fake 0.004755
[529/5000][455/535][54413] Loss_D: -0.026152 Loss_G: 0.026138 Loss_D_real: -0.025152 Loss_D_fake 0.001001
[529/5000][460/535][54414] Loss_D: -0.025913 Loss_G: 0.019978 Loss_D_real: -0.024597 Loss_D_fake 0.001316
[529/5000][465/535][54415] Loss_D: -0.026021 Loss_G: 0.021367 Loss_D_real: -0.032701 Loss_D_fake -0.006680
[529/5000][470/535][54416] Loss_D: -0.026216 Loss_G: 0.023222 Loss_D_real: -0.031963 Loss_D_fake -0.005747
[529/5000][475/535][54417] Loss_D: -0.026124 Loss_G: 0.027026 Loss_D_real: -0.023417 Loss_D_fake 0.002707
[529/5000][480/535][54418] Loss_D: -0.026782 Loss_G: -0.007675 Loss_D_real: -0.007652 Loss_D_fake 0.019130
[529/5000][485/535][54419] Loss_D: -0.026543 Loss_G: 0.029813 Loss_D_real: -0.020922 Loss_D_fake 0.005621
[529/5000][490/535][54420] Loss_D: -0.025196 Loss_G: 0.005962 Loss_D_real: -0.007660 Loss_D_fake 0.017536
[529/5000][495/535][54421] Loss_D: -0.025913 Loss_G: 0.014096 Loss_D_real: -0.020144 Loss_D_fake 0.005769
[529/5000][500/535][54422] Loss_D: -0.025591 Loss_G: 0.013320 Loss_D_real: -0.019450 Loss_D_fake 0.006141
[529/5000][505/535][54423] Loss_D: -0.025965 Loss_G: 0.006333 Loss_D_real: -0.016028 Loss_D_fake 0.009938
[529/5000][510/535][54424] Loss_D: -0.025327 Loss_G: -0.000319 Loss_D_real: -0.010254 Loss_D_fake 0.015073
[529/5000][515/535][54425] Loss_D: -0.024995 Loss_G: -0.007504 Loss_D_real: 0.007797 Loss_D_fake 0.032792
[529/5000][520/535][54426] Loss_D: -0.025757 Loss_G: -0.000269 Loss_D_real: -0.009090 Loss_D_fake 0.016667
[529/5000][525/535][54427] Loss_D: -0.025821 Loss_G: 0.014148 Loss_D_real: -0.011296 Loss_D_fake 0.014525
[529/5000][530/535][54428] Loss_D: -0.026266 Loss_G: 0.022138 Loss_D_real: -0.022002 Loss_D_fake 0.004264
[529/5000][535/535][54429] Loss_D: -0.025257 Loss_G: 0.005192 Loss_D_real: -0.035691 Loss_D_fake -0.010435
[530/5000][5/535][54430] Loss_D: -0.025588 Loss_G: 0.023641 Loss_D_real: -0.018609 Loss_D_fake 0.006979
[530/5000][10/535][54431] Loss_D: -0.027167 Loss_G: 0.029876 Loss_D_real: -0.027889 Loss_D_fake -0.000723
[530/5000][15/535][54432] Loss_D: -0.027572 Loss_G: 0.006434 Loss_D_real: -0.015719 Loss_D_fake 0.011853
[530/5000][20/535][54433] Loss_D: -0.026569 Loss_G: 0.010623 Loss_D_real: -0.013886 Loss_D_fake 0.012683
[530/5000][25/535][54434] Loss_D: -0.024951 Loss_G: -0.005362 Loss_D_real: -0.002586 Loss_D_fake 0.022365
[530/5000][30/535][54435] Loss_D: -0.026563 Loss_G: 0.029165 Loss_D_real: -0.027152 Loss_D_fake -0.000589
[530/5000][35/535][54436] Loss_D: -0.026836 Loss_G: 0.001697 Loss_D_real: -0.015291 Loss_D_fake 0.011545
[530/5000][40/535][54437] Loss_D: -0.025232 Loss_G: 0.019540 Loss_D_real: -0.028284 Loss_D_fake -0.003052
[530/5000][45/535][54438] Loss_D: -0.026020 Loss_G: 0.002243 Loss_D_real: -0.010462 Loss_D_fake 0.015558
[530/5000][50/535][54439] Loss_D: -0.027102 Loss_G: 0.022125 Loss_D_real: -0.010149 Loss_D_fake 0.016953
[530/5000][55/535][54440] Loss_D: -0.025916 Loss_G: 0.004552 Loss_D_real: -0.010463 Loss_D_fake 0.015454
[530/5000][60/535][54441] Loss_D: -0.026487 Loss_G: 0.012927 Loss_D_real: -0.020242 Loss_D_fake 0.006246
[530/5000][65/535][54442] Loss_D: -0.026246 Loss_G: 0.011638 Loss_D_real: -0.019917 Loss_D_fake 0.006329
[530/5000][70/535][54443] Loss_D: -0.024858 Loss_G: 0.021727 Loss_D_real: -0.030297 Loss_D_fake -0.005439
[530/5000][75/535][54444] Loss_D: -0.026970 Loss_G: 0.013738 Loss_D_real: -0.016052 Loss_D_fake 0.010917
[530/5000][80/535][54445] Loss_D: -0.026204 Loss_G: 0.032776 Loss_D_real: -0.034344 Loss_D_fake -0.008140
[530/5000][85/535][54446] Loss_D: -0.026042 Loss_G: 0.014511 Loss_D_real: -0.031457 Loss_D_fake -0.005414
[530/5000][90/535][54447] Loss_D: -0.026996 Loss_G: 0.012340 Loss_D_real: -0.028142 Loss_D_fake -0.001146
[530/5000][95/535][54448] Loss_D: -0.027726 Loss_G: 0.010483 Loss_D_real: -0.015820 Loss_D_fake 0.011906
[530/5000][100/535][54449] Loss_D: -0.026460 Loss_G: 0.025202 Loss_D_real: -0.023202 Loss_D_fake 0.003258
[530/5000][105/535][54450] Loss_D: -0.024372 Loss_G: 0.026130 Loss_D_real: -0.019535 Loss_D_fake 0.004837
[530/5000][110/535][54451] Loss_D: -0.026829 Loss_G: 0.004768 Loss_D_real: -0.009400 Loss_D_fake 0.017430
[530/5000][115/535][54452] Loss_D: -0.025517 Loss_G: 0.023662 Loss_D_real: -0.022275 Loss_D_fake 0.003243
[530/5000][120/535][54453] Loss_D: -0.025355 Loss_G: 0.020118 Loss_D_real: -0.018908 Loss_D_fake 0.006447
[530/5000][125/535][54454] Loss_D: -0.024790 Loss_G: 0.008573 Loss_D_real: -0.014071 Loss_D_fake 0.010719
[530/5000][130/535][54455] Loss_D: -0.025618 Loss_G: 0.022892 Loss_D_real: -0.024423 Loss_D_fake 0.001195
[530/5000][135/535][54456] Loss_D: -0.026139 Loss_G: 0.021901 Loss_D_real: -0.017477 Loss_D_fake 0.008662
[530/5000][140/535][54457] Loss_D: -0.025639 Loss_G: 0.028647 Loss_D_real: -0.031204 Loss_D_fake -0.005565
[530/5000][145/535][54458] Loss_D: -0.026072 Loss_G: -0.005846 Loss_D_real: -0.006035 Loss_D_fake 0.020037
[530/5000][150/535][54459] Loss_D: -0.026266 Loss_G: 0.030737 Loss_D_real: -0.022868 Loss_D_fake 0.003398
[530/5000][155/535][54460] Loss_D: -0.026506 Loss_G: 0.020674 Loss_D_real: -0.019621 Loss_D_fake 0.006886
[530/5000][160/535][54461] Loss_D: -0.025712 Loss_G: 0.025082 Loss_D_real: -0.028219 Loss_D_fake -0.002507
[530/5000][165/535][54462] Loss_D: -0.026630 Loss_G: 0.012166 Loss_D_real: -0.007235 Loss_D_fake 0.019395
[530/5000][170/535][54463] Loss_D: -0.027712 Loss_G: 0.014404 Loss_D_real: -0.019781 Loss_D_fake 0.007931
[530/5000][175/535][54464] Loss_D: -0.026496 Loss_G: -0.000414 Loss_D_real: -0.004319 Loss_D_fake 0.022177
[530/5000][180/535][54465] Loss_D: -0.028052 Loss_G: 0.015184 Loss_D_real: -0.028319 Loss_D_fake -0.000267
[530/5000][185/535][54466] Loss_D: -0.027300 Loss_G: 0.007353 Loss_D_real: -0.004569 Loss_D_fake 0.022731
[530/5000][190/535][54467] Loss_D: -0.027247 Loss_G: 0.021995 Loss_D_real: -0.017573 Loss_D_fake 0.009673
[530/5000][195/535][54468] Loss_D: -0.026237 Loss_G: 0.010553 Loss_D_real: -0.018510 Loss_D_fake 0.007728
[530/5000][200/535][54469] Loss_D: -0.026258 Loss_G: 0.014044 Loss_D_real: -0.016026 Loss_D_fake 0.010231
[530/5000][205/535][54470] Loss_D: -0.025275 Loss_G: 0.006605 Loss_D_real: 0.000906 Loss_D_fake 0.026182
[530/5000][210/535][54471] Loss_D: -0.026161 Loss_G: 0.033644 Loss_D_real: -0.027197 Loss_D_fake -0.001037
[530/5000][215/535][54472] Loss_D: -0.025942 Loss_G: 0.002572 Loss_D_real: -0.009361 Loss_D_fake 0.016581
[530/5000][220/535][54473] Loss_D: -0.025646 Loss_G: 0.021305 Loss_D_real: -0.033319 Loss_D_fake -0.007673
[530/5000][225/535][54474] Loss_D: -0.025501 Loss_G: 0.026994 Loss_D_real: -0.025798 Loss_D_fake -0.000297
[530/5000][230/535][54475] Loss_D: -0.025244 Loss_G: 0.019749 Loss_D_real: -0.034471 Loss_D_fake -0.009226
[530/5000][235/535][54476] Loss_D: -0.026554 Loss_G: -0.000961 Loss_D_real: -0.001359 Loss_D_fake 0.025195
[530/5000][240/535][54477] Loss_D: -0.025418 Loss_G: 0.014663 Loss_D_real: -0.023823 Loss_D_fake 0.001596
[530/5000][245/535][54478] Loss_D: -0.025516 Loss_G: 0.008376 Loss_D_real: -0.010237 Loss_D_fake 0.015279
[530/5000][250/535][54479] Loss_D: -0.026034 Loss_G: -0.006494 Loss_D_real: -0.002880 Loss_D_fake 0.023154
[530/5000][255/535][54480] Loss_D: -0.026872 Loss_G: 0.010243 Loss_D_real: -0.015543 Loss_D_fake 0.011329
[530/5000][260/535][54481] Loss_D: -0.025541 Loss_G: -0.009491 Loss_D_real: 0.004768 Loss_D_fake 0.030309
[530/5000][265/535][54482] Loss_D: -0.025113 Loss_G: 0.023340 Loss_D_real: -0.037268 Loss_D_fake -0.012155
[530/5000][270/535][54483] Loss_D: -0.025290 Loss_G: 0.008862 Loss_D_real: -0.003880 Loss_D_fake 0.021410
[530/5000][275/535][54484] Loss_D: -0.026724 Loss_G: 0.024725 Loss_D_real: -0.030748 Loss_D_fake -0.004024
[530/5000][280/535][54485] Loss_D: -0.026958 Loss_G: 0.007673 Loss_D_real: -0.009358 Loss_D_fake 0.017600
[530/5000][285/535][54486] Loss_D: -0.026499 Loss_G: 0.010762 Loss_D_real: -0.010884 Loss_D_fake 0.015616
[530/5000][290/535][54487] Loss_D: -0.026179 Loss_G: 0.022504 Loss_D_real: -0.016249 Loss_D_fake 0.009930
[530/5000][295/535][54488] Loss_D: -0.026823 Loss_G: -0.007243 Loss_D_real: -0.002865 Loss_D_fake 0.023958
[530/5000][300/535][54489] Loss_D: -0.025784 Loss_G: 0.022575 Loss_D_real: -0.026717 Loss_D_fake -0.000933
[530/5000][305/535][54490] Loss_D: -0.025547 Loss_G: 0.021736 Loss_D_real: -0.023796 Loss_D_fake 0.001751
[530/5000][310/535][54491] Loss_D: -0.025728 Loss_G: 0.023885 Loss_D_real: -0.017193 Loss_D_fake 0.008534
[530/5000][315/535][54492] Loss_D: -0.025831 Loss_G: 0.012468 Loss_D_real: -0.018573 Loss_D_fake 0.007258
[530/5000][320/535][54493] Loss_D: -0.027264 Loss_G: 0.003232 Loss_D_real: -0.017139 Loss_D_fake 0.010125
[530/5000][325/535][54494] Loss_D: -0.026744 Loss_G: 0.034861 Loss_D_real: -0.030079 Loss_D_fake -0.003335
[530/5000][330/535][54495] Loss_D: -0.026845 Loss_G: 0.006916 Loss_D_real: -0.015857 Loss_D_fake 0.010988
[530/5000][335/535][54496] Loss_D: -0.026097 Loss_G: 0.021838 Loss_D_real: -0.023077 Loss_D_fake 0.003020
[530/5000][340/535][54497] Loss_D: -0.026157 Loss_G: 0.007290 Loss_D_real: -0.012327 Loss_D_fake 0.013830
[530/5000][345/535][54498] Loss_D: -0.025915 Loss_G: 0.000086 Loss_D_real: -0.002719 Loss_D_fake 0.023196
[530/5000][350/535][54499] Loss_D: -0.026941 Loss_G: 0.006097 Loss_D_real: -0.006348 Loss_D_fake 0.020593
[530/5000][355/535][54500] Loss_D: -0.025299 Loss_G: -0.012568 Loss_D_real: 0.008157 Loss_D_fake 0.033455
[530/5000][455/535][54501] Loss_D: -0.029591 Loss_G: 0.006069 Loss_D_real: -0.017655 Loss_D_fake 0.011935
[530/5000][460/535][54502] Loss_D: -0.027809 Loss_G: 0.017739 Loss_D_real: -0.019946 Loss_D_fake 0.007863
[530/5000][465/535][54503] Loss_D: -0.024425 Loss_G: 0.018656 Loss_D_real: -0.022965 Loss_D_fake 0.001460
[530/5000][470/535][54504] Loss_D: -0.025054 Loss_G: 0.012360 Loss_D_real: -0.021861 Loss_D_fake 0.003193
[530/5000][475/535][54505] Loss_D: -0.025009 Loss_G: 0.006899 Loss_D_real: -0.020877 Loss_D_fake 0.004132
[530/5000][480/535][54506] Loss_D: -0.025648 Loss_G: 0.020691 Loss_D_real: -0.016881 Loss_D_fake 0.008767
[530/5000][485/535][54507] Loss_D: -0.024483 Loss_G: 0.006358 Loss_D_real: -0.007730 Loss_D_fake 0.016753
[530/5000][490/535][54508] Loss_D: -0.024941 Loss_G: 0.017715 Loss_D_real: -0.022894 Loss_D_fake 0.002047
[530/5000][495/535][54509] Loss_D: -0.025107 Loss_G: -0.005874 Loss_D_real: 0.001644 Loss_D_fake 0.026751
[530/5000][500/535][54510] Loss_D: -0.025495 Loss_G: 0.012561 Loss_D_real: -0.012576 Loss_D_fake 0.012920
[530/5000][505/535][54511] Loss_D: -0.024192 Loss_G: -0.009192 Loss_D_real: -0.011414 Loss_D_fake 0.012778
[530/5000][510/535][54512] Loss_D: -0.025644 Loss_G: 0.000827 Loss_D_real: -0.009895 Loss_D_fake 0.015750
[530/5000][515/535][54513] Loss_D: -0.025407 Loss_G: 0.018299 Loss_D_real: -0.024587 Loss_D_fake 0.000820
[530/5000][520/535][54514] Loss_D: -0.025779 Loss_G: 0.009333 Loss_D_real: -0.012309 Loss_D_fake 0.013470
[530/5000][525/535][54515] Loss_D: -0.025669 Loss_G: 0.017336 Loss_D_real: -0.020850 Loss_D_fake 0.004819
[530/5000][530/535][54516] Loss_D: -0.025709 Loss_G: 0.010312 Loss_D_real: -0.016332 Loss_D_fake 0.009377
[530/5000][535/535][54517] Loss_D: -0.025184 Loss_G: 0.011119 Loss_D_real: -0.017585 Loss_D_fake 0.007599
[531/5000][5/535][54518] Loss_D: -0.026990 Loss_G: 0.029373 Loss_D_real: -0.020078 Loss_D_fake 0.006912
[531/5000][10/535][54519] Loss_D: -0.025868 Loss_G: 0.037811 Loss_D_real: -0.020754 Loss_D_fake 0.005114
[531/5000][15/535][54520] Loss_D: -0.025922 Loss_G: 0.003104 Loss_D_real: -0.007000 Loss_D_fake 0.018922
[531/5000][20/535][54521] Loss_D: -0.025025 Loss_G: 0.018933 Loss_D_real: -0.014048 Loss_D_fake 0.010977
[531/5000][25/535][54522] Loss_D: -0.025663 Loss_G: 0.007246 Loss_D_real: -0.015666 Loss_D_fake 0.009997
[531/5000][30/535][54523] Loss_D: -0.026327 Loss_G: 0.009325 Loss_D_real: -0.020600 Loss_D_fake 0.005726
[531/5000][35/535][54524] Loss_D: -0.023493 Loss_G: -0.007134 Loss_D_real: 0.011128 Loss_D_fake 0.034621
[531/5000][40/535][54525] Loss_D: -0.024636 Loss_G: 0.019497 Loss_D_real: -0.029425 Loss_D_fake -0.004789
[531/5000][45/535][54526] Loss_D: -0.025131 Loss_G: 0.006218 Loss_D_real: -0.005408 Loss_D_fake 0.019723
[531/5000][50/535][54527] Loss_D: -0.023881 Loss_G: -0.016744 Loss_D_real: -0.000216 Loss_D_fake 0.023665
[531/5000][55/535][54528] Loss_D: -0.025483 Loss_G: 0.020337 Loss_D_real: -0.026096 Loss_D_fake -0.000613
[531/5000][60/535][54529] Loss_D: -0.025581 Loss_G: 0.019740 Loss_D_real: -0.015606 Loss_D_fake 0.009975
[531/5000][65/535][54530] Loss_D: -0.024577 Loss_G: 0.015724 Loss_D_real: -0.024454 Loss_D_fake 0.000123
[531/5000][70/535][54531] Loss_D: -0.024807 Loss_G: 0.003012 Loss_D_real: -0.007121 Loss_D_fake 0.017687
[531/5000][75/535][54532] Loss_D: -0.024013 Loss_G: 0.027103 Loss_D_real: -0.019356 Loss_D_fake 0.004657
[531/5000][80/535][54533] Loss_D: -0.025263 Loss_G: 0.004221 Loss_D_real: -0.014548 Loss_D_fake 0.010714
[531/5000][85/535][54534] Loss_D: -0.024543 Loss_G: 0.029203 Loss_D_real: -0.023840 Loss_D_fake 0.000703
[531/5000][90/535][54535] Loss_D: -0.025885 Loss_G: -0.005840 Loss_D_real: -0.006659 Loss_D_fake 0.019226
[531/5000][95/535][54536] Loss_D: -0.026381 Loss_G: 0.014504 Loss_D_real: -0.025475 Loss_D_fake 0.000906
[531/5000][100/535][54537] Loss_D: -0.025664 Loss_G: 0.012522 Loss_D_real: -0.014999 Loss_D_fake 0.010664
[531/5000][105/535][54538] Loss_D: -0.026333 Loss_G: 0.021742 Loss_D_real: -0.022911 Loss_D_fake 0.003422
[531/5000][110/535][54539] Loss_D: -0.026462 Loss_G: -0.002785 Loss_D_real: -0.008437 Loss_D_fake 0.018025
[531/5000][115/535][54540] Loss_D: -0.026291 Loss_G: 0.021389 Loss_D_real: -0.016417 Loss_D_fake 0.009875
[531/5000][120/535][54541] Loss_D: -0.026934 Loss_G: 0.019860 Loss_D_real: -0.021317 Loss_D_fake 0.005617
[531/5000][125/535][54542] Loss_D: -0.025311 Loss_G: -0.010095 Loss_D_real: -0.002426 Loss_D_fake 0.022885
[531/5000][130/535][54543] Loss_D: -0.025974 Loss_G: 0.003673 Loss_D_real: -0.017782 Loss_D_fake 0.008192
[531/5000][135/535][54544] Loss_D: -0.026515 Loss_G: 0.016958 Loss_D_real: -0.019908 Loss_D_fake 0.006607
[531/5000][140/535][54545] Loss_D: -0.026748 Loss_G: 0.032063 Loss_D_real: -0.037601 Loss_D_fake -0.010853
[531/5000][145/535][54546] Loss_D: -0.026871 Loss_G: -0.003458 Loss_D_real: -0.011719 Loss_D_fake 0.015152
[531/5000][150/535][54547] Loss_D: -0.025557 Loss_G: 0.023343 Loss_D_real: -0.030027 Loss_D_fake -0.004470
[531/5000][155/535][54548] Loss_D: -0.025320 Loss_G: 0.019951 Loss_D_real: -0.021189 Loss_D_fake 0.004132
[531/5000][160/535][54549] Loss_D: -0.027224 Loss_G: 0.027657 Loss_D_real: -0.024553 Loss_D_fake 0.002671
[531/5000][165/535][54550] Loss_D: -0.027096 Loss_G: 0.004625 Loss_D_real: -0.016390 Loss_D_fake 0.010707
[531/5000][170/535][54551] Loss_D: -0.025436 Loss_G: 0.028262 Loss_D_real: -0.029715 Loss_D_fake -0.004279
[531/5000][175/535][54552] Loss_D: -0.026655 Loss_G: 0.014291 Loss_D_real: -0.010045 Loss_D_fake 0.016610
[531/5000][180/535][54553] Loss_D: -0.026595 Loss_G: 0.018720 Loss_D_real: -0.021661 Loss_D_fake 0.004934
[531/5000][185/535][54554] Loss_D: -0.024699 Loss_G: 0.027621 Loss_D_real: -0.028866 Loss_D_fake -0.004167
[531/5000][190/535][54555] Loss_D: -0.027292 Loss_G: 0.023366 Loss_D_real: -0.021283 Loss_D_fake 0.006009
[531/5000][195/535][54556] Loss_D: -0.026111 Loss_G: 0.029886 Loss_D_real: -0.026796 Loss_D_fake -0.000686
[531/5000][200/535][54557] Loss_D: -0.026166 Loss_G: 0.005709 Loss_D_real: -0.013463 Loss_D_fake 0.012703
[531/5000][205/535][54558] Loss_D: -0.026314 Loss_G: 0.013780 Loss_D_real: -0.020705 Loss_D_fake 0.005610
[531/5000][210/535][54559] Loss_D: -0.026533 Loss_G: 0.009000 Loss_D_real: -0.007848 Loss_D_fake 0.018685
[531/5000][215/535][54560] Loss_D: -0.024638 Loss_G: 0.032158 Loss_D_real: -0.031171 Loss_D_fake -0.006533
[531/5000][220/535][54561] Loss_D: -0.027353 Loss_G: -0.001415 Loss_D_real: -0.003792 Loss_D_fake 0.023562
[531/5000][225/535][54562] Loss_D: -0.025532 Loss_G: 0.008700 Loss_D_real: -0.010331 Loss_D_fake 0.015201
[531/5000][230/535][54563] Loss_D: -0.026033 Loss_G: 0.010661 Loss_D_real: -0.022751 Loss_D_fake 0.003282
[531/5000][235/535][54564] Loss_D: -0.024970 Loss_G: 0.013917 Loss_D_real: -0.029962 Loss_D_fake -0.004992
[531/5000][240/535][54565] Loss_D: -0.025284 Loss_G: -0.004888 Loss_D_real: -0.005711 Loss_D_fake 0.019573
[531/5000][245/535][54566] Loss_D: -0.026009 Loss_G: 0.022004 Loss_D_real: -0.030455 Loss_D_fake -0.004446
[531/5000][250/535][54567] Loss_D: -0.025916 Loss_G: 0.015592 Loss_D_real: -0.009847 Loss_D_fake 0.016068
[531/5000][255/535][54568] Loss_D: -0.025155 Loss_G: 0.022289 Loss_D_real: -0.022570 Loss_D_fake 0.002585
[531/5000][260/535][54569] Loss_D: -0.026419 Loss_G: 0.002575 Loss_D_real: -0.003221 Loss_D_fake 0.023199
[531/5000][265/535][54570] Loss_D: -0.026180 Loss_G: 0.018159 Loss_D_real: -0.014329 Loss_D_fake 0.011851
[531/5000][270/535][54571] Loss_D: -0.025184 Loss_G: 0.020602 Loss_D_real: -0.023707 Loss_D_fake 0.001477
[531/5000][275/535][54572] Loss_D: -0.024446 Loss_G: 0.018098 Loss_D_real: -0.023175 Loss_D_fake 0.001270
[531/5000][280/535][54573] Loss_D: -0.025720 Loss_G: 0.026422 Loss_D_real: -0.037454 Loss_D_fake -0.011734
[531/5000][285/535][54574] Loss_D: -0.026216 Loss_G: 0.008269 Loss_D_real: -0.007754 Loss_D_fake 0.018462
[531/5000][290/535][54575] Loss_D: -0.025901 Loss_G: -0.004232 Loss_D_real: -0.012946 Loss_D_fake 0.012955
[531/5000][295/535][54576] Loss_D: -0.024207 Loss_G: -0.011436 Loss_D_real: 0.008021 Loss_D_fake 0.032228
[531/5000][300/535][54577] Loss_D: -0.026025 Loss_G: 0.007779 Loss_D_real: -0.009627 Loss_D_fake 0.016397
[531/5000][305/535][54578] Loss_D: -0.025920 Loss_G: 0.004428 Loss_D_real: -0.006113 Loss_D_fake 0.019807
[531/5000][310/535][54579] Loss_D: -0.026152 Loss_G: 0.020844 Loss_D_real: -0.025881 Loss_D_fake 0.000271
[531/5000][315/535][54580] Loss_D: -0.025552 Loss_G: 0.021909 Loss_D_real: -0.019138 Loss_D_fake 0.006414
[531/5000][320/535][54581] Loss_D: -0.025267 Loss_G: 0.023050 Loss_D_real: -0.024424 Loss_D_fake 0.000843
[531/5000][325/535][54582] Loss_D: -0.026211 Loss_G: -0.000654 Loss_D_real: -0.002505 Loss_D_fake 0.023706
[531/5000][330/535][54583] Loss_D: -0.026370 Loss_G: 0.002033 Loss_D_real: -0.001252 Loss_D_fake 0.025117
[531/5000][335/535][54584] Loss_D: -0.025403 Loss_G: 0.015668 Loss_D_real: -0.026869 Loss_D_fake -0.001465
[531/5000][340/535][54585] Loss_D: -0.026484 Loss_G: 0.005615 Loss_D_real: -0.004053 Loss_D_fake 0.022431
[531/5000][345/535][54586] Loss_D: -0.026703 Loss_G: 0.002465 Loss_D_real: -0.006661 Loss_D_fake 0.020042
[531/5000][350/535][54587] Loss_D: -0.025695 Loss_G: -0.001322 Loss_D_real: -0.019604 Loss_D_fake 0.006091
[531/5000][355/535][54588] Loss_D: -0.027728 Loss_G: -0.004986 Loss_D_real: -0.006594 Loss_D_fake 0.021134
[531/5000][360/535][54589] Loss_D: -0.025109 Loss_G: 0.023420 Loss_D_real: -0.025616 Loss_D_fake -0.000508
[531/5000][365/535][54590] Loss_D: -0.026364 Loss_G: 0.009779 Loss_D_real: -0.011514 Loss_D_fake 0.014851
[531/5000][370/535][54591] Loss_D: -0.024832 Loss_G: -0.008958 Loss_D_real: 0.002109 Loss_D_fake 0.026941
[531/5000][375/535][54592] Loss_D: -0.027217 Loss_G: 0.012343 Loss_D_real: -0.007570 Loss_D_fake 0.019648
[531/5000][380/535][54593] Loss_D: -0.025509 Loss_G: 0.027846 Loss_D_real: -0.022887 Loss_D_fake 0.002622
[531/5000][385/535][54594] Loss_D: -0.025639 Loss_G: 0.024589 Loss_D_real: -0.030813 Loss_D_fake -0.005174
[531/5000][390/535][54595] Loss_D: -0.026466 Loss_G: 0.011146 Loss_D_real: -0.026234 Loss_D_fake 0.000233
[531/5000][395/535][54596] Loss_D: -0.026413 Loss_G: 0.010585 Loss_D_real: -0.009368 Loss_D_fake 0.017045
[531/5000][400/535][54597] Loss_D: -0.026449 Loss_G: 0.013862 Loss_D_real: -0.017585 Loss_D_fake 0.008864
[531/5000][405/535][54598] Loss_D: -0.027113 Loss_G: -0.006633 Loss_D_real: -0.005534 Loss_D_fake 0.021579
[531/5000][410/535][54599] Loss_D: -0.024240 Loss_G: 0.022249 Loss_D_real: -0.028496 Loss_D_fake -0.004257
[531/5000][415/535][54600] Loss_D: -0.024703 Loss_G: 0.029500 Loss_D_real: -0.016902 Loss_D_fake 0.007801
[531/5000][420/535][54601] Loss_D: -0.025549 Loss_G: 0.014643 Loss_D_real: -0.018072 Loss_D_fake 0.007477
[531/5000][425/535][54602] Loss_D: -0.025096 Loss_G: 0.019601 Loss_D_real: -0.027964 Loss_D_fake -0.002868
[531/5000][430/535][54603] Loss_D: -0.026547 Loss_G: 0.010148 Loss_D_real: -0.019078 Loss_D_fake 0.007469
[531/5000][435/535][54604] Loss_D: -0.026461 Loss_G: 0.020384 Loss_D_real: -0.020789 Loss_D_fake 0.005672
[531/5000][440/535][54605] Loss_D: -0.025658 Loss_G: 0.015910 Loss_D_real: -0.012429 Loss_D_fake 0.013228
[531/5000][445/535][54606] Loss_D: -0.026628 Loss_G: 0.002629 Loss_D_real: -0.009199 Loss_D_fake 0.017429
[531/5000][450/535][54607] Loss_D: -0.026835 Loss_G: -0.013153 Loss_D_real: 0.006282 Loss_D_fake 0.033117
[531/5000][455/535][54608] Loss_D: -0.024731 Loss_G: 0.010406 Loss_D_real: -0.006385 Loss_D_fake 0.018346
[531/5000][460/535][54609] Loss_D: -0.026870 Loss_G: 0.018024 Loss_D_real: -0.023369 Loss_D_fake 0.003501
[531/5000][465/535][54610] Loss_D: -0.027199 Loss_G: 0.002789 Loss_D_real: -0.003687 Loss_D_fake 0.023512
[531/5000][470/535][54611] Loss_D: -0.027640 Loss_G: 0.008497 Loss_D_real: -0.012457 Loss_D_fake 0.015183
[531/5000][475/535][54612] Loss_D: -0.025780 Loss_G: 0.030350 Loss_D_real: -0.031367 Loss_D_fake -0.005588
[531/5000][480/535][54613] Loss_D: -0.027011 Loss_G: 0.016200 Loss_D_real: -0.015955 Loss_D_fake 0.011056
[531/5000][485/535][54614] Loss_D: -0.026382 Loss_G: -0.008821 Loss_D_real: 0.001410 Loss_D_fake 0.027792
[531/5000][490/535][54615] Loss_D: -0.026792 Loss_G: 0.022551 Loss_D_real: -0.030303 Loss_D_fake -0.003511
[531/5000][495/535][54616] Loss_D: -0.027198 Loss_G: 0.014692 Loss_D_real: -0.005366 Loss_D_fake 0.021832
[531/5000][500/535][54617] Loss_D: -0.026538 Loss_G: -0.010236 Loss_D_real: -0.008199 Loss_D_fake 0.018338
[531/5000][505/535][54618] Loss_D: -0.024216 Loss_G: 0.033917 Loss_D_real: -0.028239 Loss_D_fake -0.004023
[531/5000][510/535][54619] Loss_D: -0.025957 Loss_G: -0.007797 Loss_D_real: -0.009277 Loss_D_fake 0.016680
[531/5000][515/535][54620] Loss_D: -0.025793 Loss_G: 0.031112 Loss_D_real: -0.020958 Loss_D_fake 0.004834
[531/5000][520/535][54621] Loss_D: -0.026319 Loss_G: 0.021156 Loss_D_real: -0.023998 Loss_D_fake 0.002321
[531/5000][525/535][54622] Loss_D: -0.027333 Loss_G: -0.004302 Loss_D_real: -0.011822 Loss_D_fake 0.015511
[531/5000][530/535][54623] Loss_D: -0.024757 Loss_G: -0.008102 Loss_D_real: -0.006851 Loss_D_fake 0.017906
[531/5000][535/535][54624] Loss_D: -0.028142 Loss_G: 0.036330 Loss_D_real: -0.016111 Loss_D_fake 0.012031
[532/5000][5/535][54625] Loss_D: -0.025456 Loss_G: 0.015270 Loss_D_real: -0.023439 Loss_D_fake 0.002017
[532/5000][10/535][54626] Loss_D: -0.026689 Loss_G: 0.010006 Loss_D_real: -0.015655 Loss_D_fake 0.011034
[532/5000][15/535][54627] Loss_D: -0.026648 Loss_G: 0.002179 Loss_D_real: -0.015895 Loss_D_fake 0.010754
[532/5000][20/535][54628] Loss_D: -0.025545 Loss_G: 0.018392 Loss_D_real: -0.011587 Loss_D_fake 0.013958
[532/5000][25/535][54629] Loss_D: -0.026280 Loss_G: 0.001517 Loss_D_real: -0.001787 Loss_D_fake 0.024492
[532/5000][30/535][54630] Loss_D: -0.025393 Loss_G: 0.024321 Loss_D_real: -0.021637 Loss_D_fake 0.003755
[532/5000][35/535][54631] Loss_D: -0.026038 Loss_G: 0.007027 Loss_D_real: -0.010750 Loss_D_fake 0.015289
[532/5000][40/535][54632] Loss_D: -0.026720 Loss_G: 0.008753 Loss_D_real: -0.011740 Loss_D_fake 0.014980
[532/5000][45/535][54633] Loss_D: -0.026272 Loss_G: 0.011166 Loss_D_real: -0.017566 Loss_D_fake 0.008706
[532/5000][50/535][54634] Loss_D: -0.025671 Loss_G: 0.019634 Loss_D_real: -0.028790 Loss_D_fake -0.003119
[532/5000][55/535][54635] Loss_D: -0.026668 Loss_G: 0.016537 Loss_D_real: -0.017139 Loss_D_fake 0.009528
[532/5000][60/535][54636] Loss_D: -0.026718 Loss_G: 0.005368 Loss_D_real: -0.020145 Loss_D_fake 0.006572
[532/5000][65/535][54637] Loss_D: -0.025049 Loss_G: 0.021985 Loss_D_real: -0.023454 Loss_D_fake 0.001595
[532/5000][70/535][54638] Loss_D: -0.025802 Loss_G: -0.005889 Loss_D_real: -0.002438 Loss_D_fake 0.023364
[532/5000][75/535][54639] Loss_D: -0.025843 Loss_G: 0.013371 Loss_D_real: -0.020893 Loss_D_fake 0.004950
[532/5000][80/535][54640] Loss_D: -0.026150 Loss_G: 0.015024 Loss_D_real: -0.018362 Loss_D_fake 0.007788
[532/5000][85/535][54641] Loss_D: -0.026121 Loss_G: 0.028763 Loss_D_real: -0.021907 Loss_D_fake 0.004214
[532/5000][90/535][54642] Loss_D: -0.026042 Loss_G: 0.014469 Loss_D_real: -0.021856 Loss_D_fake 0.004187
[532/5000][95/535][54643] Loss_D: -0.025542 Loss_G: 0.003208 Loss_D_real: -0.006072 Loss_D_fake 0.019470
[532/5000][100/535][54644] Loss_D: -0.027034 Loss_G: 0.011343 Loss_D_real: -0.007924 Loss_D_fake 0.019110
[532/5000][105/535][54645] Loss_D: -0.024784 Loss_G: 0.022337 Loss_D_real: -0.036178 Loss_D_fake -0.011394
[532/5000][110/535][54646] Loss_D: -0.024985 Loss_G: 0.027819 Loss_D_real: -0.027001 Loss_D_fake -0.002016
[532/5000][115/535][54647] Loss_D: -0.026482 Loss_G: 0.028444 Loss_D_real: -0.023409 Loss_D_fake 0.003073
[532/5000][120/535][54648] Loss_D: -0.025079 Loss_G: 0.021775 Loss_D_real: -0.026208 Loss_D_fake -0.001129
[532/5000][125/535][54649] Loss_D: -0.025045 Loss_G: 0.030627 Loss_D_real: -0.028018 Loss_D_fake -0.002973
[532/5000][130/535][54650] Loss_D: -0.026365 Loss_G: -0.000930 Loss_D_real: -0.017172 Loss_D_fake 0.009193
[532/5000][135/535][54651] Loss_D: -0.025932 Loss_G: 0.009296 Loss_D_real: -0.017977 Loss_D_fake 0.007954
[532/5000][140/535][54652] Loss_D: -0.026556 Loss_G: 0.014464 Loss_D_real: -0.023827 Loss_D_fake 0.002729
[532/5000][145/535][54653] Loss_D: -0.025222 Loss_G: 0.004872 Loss_D_real: -0.008597 Loss_D_fake 0.016625
[532/5000][150/535][54654] Loss_D: -0.025887 Loss_G: -0.000698 Loss_D_real: 0.002671 Loss_D_fake 0.028558
[532/5000][155/535][54655] Loss_D: -0.026868 Loss_G: 0.007226 Loss_D_real: -0.017347 Loss_D_fake 0.009520
[532/5000][160/535][54656] Loss_D: -0.025988 Loss_G: 0.010087 Loss_D_real: -0.008732 Loss_D_fake 0.017256
[532/5000][165/535][54657] Loss_D: -0.024929 Loss_G: 0.024885 Loss_D_real: -0.013866 Loss_D_fake 0.011063
[532/5000][170/535][54658] Loss_D: -0.025659 Loss_G: 0.005866 Loss_D_real: -0.013625 Loss_D_fake 0.012034
[532/5000][175/535][54659] Loss_D: -0.025713 Loss_G: 0.027722 Loss_D_real: -0.023180 Loss_D_fake 0.002533
[532/5000][180/535][54660] Loss_D: -0.026833 Loss_G: 0.011268 Loss_D_real: -0.011854 Loss_D_fake 0.014979
[532/5000][185/535][54661] Loss_D: -0.026268 Loss_G: 0.020317 Loss_D_real: -0.022805 Loss_D_fake 0.003462
[532/5000][190/535][54662] Loss_D: -0.025668 Loss_G: 0.004678 Loss_D_real: -0.017217 Loss_D_fake 0.008450
[532/5000][195/535][54663] Loss_D: -0.027285 Loss_G: 0.026917 Loss_D_real: -0.032349 Loss_D_fake -0.005064
[532/5000][200/535][54664] Loss_D: -0.025893 Loss_G: 0.029017 Loss_D_real: -0.022106 Loss_D_fake 0.003787
[532/5000][205/535][54665] Loss_D: -0.026057 Loss_G: 0.000318 Loss_D_real: -0.013368 Loss_D_fake 0.012689
[532/5000][210/535][54666] Loss_D: -0.025786 Loss_G: 0.008051 Loss_D_real: -0.022713 Loss_D_fake 0.003073
[532/5000][215/535][54667] Loss_D: -0.023847 Loss_G: 0.040698 Loss_D_real: -0.027838 Loss_D_fake -0.003991
[532/5000][220/535][54668] Loss_D: -0.025412 Loss_G: 0.009002 Loss_D_real: -0.008566 Loss_D_fake 0.016846
[532/5000][225/535][54669] Loss_D: -0.025715 Loss_G: -0.000743 Loss_D_real: -0.007156 Loss_D_fake 0.018559
[532/5000][230/535][54670] Loss_D: -0.024669 Loss_G: 0.037264 Loss_D_real: -0.024238 Loss_D_fake 0.000431
[532/5000][235/535][54671] Loss_D: -0.025069 Loss_G: -0.001587 Loss_D_real: 0.002076 Loss_D_fake 0.027145
[532/5000][240/535][54672] Loss_D: -0.024780 Loss_G: 0.016565 Loss_D_real: -0.019166 Loss_D_fake 0.005615
[532/5000][245/535][54673] Loss_D: -0.025096 Loss_G: 0.012472 Loss_D_real: -0.011402 Loss_D_fake 0.013694
[532/5000][250/535][54674] Loss_D: -0.027803 Loss_G: 0.014374 Loss_D_real: -0.022409 Loss_D_fake 0.005394
[532/5000][255/535][54675] Loss_D: -0.027017 Loss_G: 0.028362 Loss_D_real: -0.025536 Loss_D_fake 0.001482
[532/5000][260/535][54676] Loss_D: -0.026168 Loss_G: 0.000550 Loss_D_real: -0.003718 Loss_D_fake 0.022451
[532/5000][265/535][54677] Loss_D: -0.026649 Loss_G: 0.015488 Loss_D_real: -0.023030 Loss_D_fake 0.003620
[532/5000][270/535][54678] Loss_D: -0.026244 Loss_G: 0.012597 Loss_D_real: -0.010827 Loss_D_fake 0.015417
[532/5000][275/535][54679] Loss_D: -0.027263 Loss_G: 0.012857 Loss_D_real: -0.015461 Loss_D_fake 0.011802
[532/5000][280/535][54680] Loss_D: -0.025577 Loss_G: 0.021368 Loss_D_real: -0.023709 Loss_D_fake 0.001868
[532/5000][285/535][54681] Loss_D: -0.025123 Loss_G: 0.014140 Loss_D_real: -0.010076 Loss_D_fake 0.015047
[532/5000][290/535][54682] Loss_D: -0.024648 Loss_G: 0.013960 Loss_D_real: -0.010633 Loss_D_fake 0.014015
[532/5000][295/535][54683] Loss_D: -0.026260 Loss_G: 0.036884 Loss_D_real: -0.030370 Loss_D_fake -0.004110
[532/5000][300/535][54684] Loss_D: -0.025663 Loss_G: 0.023690 Loss_D_real: -0.032360 Loss_D_fake -0.006696
[532/5000][305/535][54685] Loss_D: -0.025923 Loss_G: 0.005639 Loss_D_real: -0.012912 Loss_D_fake 0.013011
[532/5000][310/535][54686] Loss_D: -0.026875 Loss_G: 0.000914 Loss_D_real: -0.009273 Loss_D_fake 0.017602
[532/5000][315/535][54687] Loss_D: -0.025633 Loss_G: 0.015824 Loss_D_real: -0.031801 Loss_D_fake -0.006168
[532/5000][320/535][54688] Loss_D: -0.025977 Loss_G: -0.013254 Loss_D_real: 0.004887 Loss_D_fake 0.030864
[532/5000][325/535][54689] Loss_D: -0.026042 Loss_G: 0.001842 Loss_D_real: -0.013149 Loss_D_fake 0.012893
[532/5000][330/535][54690] Loss_D: -0.026514 Loss_G: 0.008289 Loss_D_real: -0.006927 Loss_D_fake 0.019587
[532/5000][335/535][54691] Loss_D: -0.028458 Loss_G: 0.023303 Loss_D_real: -0.006580 Loss_D_fake 0.021879
[532/5000][340/535][54692] Loss_D: -0.027761 Loss_G: 0.023645 Loss_D_real: -0.014368 Loss_D_fake 0.013393
[532/5000][345/535][54693] Loss_D: -0.025645 Loss_G: -0.003777 Loss_D_real: -0.009685 Loss_D_fake 0.015960
[532/5000][350/535][54694] Loss_D: -0.026666 Loss_G: 0.026172 Loss_D_real: -0.021900 Loss_D_fake 0.004766
[532/5000][355/535][54695] Loss_D: -0.024068 Loss_G: -0.018402 Loss_D_real: 0.000107 Loss_D_fake 0.024175
[532/5000][360/535][54696] Loss_D: -0.025536 Loss_G: 0.001766 Loss_D_real: -0.001223 Loss_D_fake 0.024313
[532/5000][365/535][54697] Loss_D: -0.025659 Loss_G: 0.000535 Loss_D_real: -0.004473 Loss_D_fake 0.021186
[532/5000][370/535][54698] Loss_D: -0.026302 Loss_G: 0.023845 Loss_D_real: -0.015231 Loss_D_fake 0.011072
[532/5000][375/535][54699] Loss_D: -0.025228 Loss_G: 0.036760 Loss_D_real: -0.029107 Loss_D_fake -0.003878
[532/5000][380/535][54700] Loss_D: -0.026699 Loss_G: 0.015560 Loss_D_real: -0.014803 Loss_D_fake 0.011896
[532/5000][385/535][54701] Loss_D: -0.026159 Loss_G: 0.023251 Loss_D_real: -0.019344 Loss_D_fake 0.006815
[532/5000][390/535][54702] Loss_D: -0.026693 Loss_G: 0.014156 Loss_D_real: -0.016739 Loss_D_fake 0.009953
[532/5000][395/535][54703] Loss_D: -0.026658 Loss_G: 0.004157 Loss_D_real: -0.017790 Loss_D_fake 0.008868
[532/5000][400/535][54704] Loss_D: -0.025710 Loss_G: 0.025473 Loss_D_real: -0.028493 Loss_D_fake -0.002782
[532/5000][405/535][54705] Loss_D: -0.025770 Loss_G: -0.000082 Loss_D_real: -0.015118 Loss_D_fake 0.010652
[532/5000][410/535][54706] Loss_D: -0.025713 Loss_G: 0.015615 Loss_D_real: -0.025717 Loss_D_fake -0.000004
[532/5000][415/535][54707] Loss_D: -0.026011 Loss_G: 0.025583 Loss_D_real: -0.026413 Loss_D_fake -0.000402
[532/5000][420/535][54708] Loss_D: -0.026591 Loss_G: 0.001355 Loss_D_real: 0.000108 Loss_D_fake 0.026699
[532/5000][425/535][54709] Loss_D: -0.024668 Loss_G: 0.022860 Loss_D_real: -0.036000 Loss_D_fake -0.011332
[532/5000][430/535][54710] Loss_D: -0.025185 Loss_G: -0.001522 Loss_D_real: 0.005322 Loss_D_fake 0.030506
[532/5000][435/535][54711] Loss_D: -0.026470 Loss_G: 0.009651 Loss_D_real: -0.024824 Loss_D_fake 0.001646
[532/5000][440/535][54712] Loss_D: -0.024619 Loss_G: 0.028165 Loss_D_real: -0.027535 Loss_D_fake -0.002916
[532/5000][445/535][54713] Loss_D: -0.026767 Loss_G: -0.007334 Loss_D_real: -0.002202 Loss_D_fake 0.024565
[532/5000][450/535][54714] Loss_D: -0.025165 Loss_G: -0.003488 Loss_D_real: -0.003899 Loss_D_fake 0.021266
[532/5000][455/535][54715] Loss_D: -0.025406 Loss_G: 0.016640 Loss_D_real: -0.024375 Loss_D_fake 0.001031
[532/5000][460/535][54716] Loss_D: -0.024166 Loss_G: 0.006796 Loss_D_real: -0.011598 Loss_D_fake 0.012569
[532/5000][465/535][54717] Loss_D: -0.024935 Loss_G: 0.007574 Loss_D_real: -0.005937 Loss_D_fake 0.018999
[532/5000][470/535][54718] Loss_D: -0.024964 Loss_G: 0.030659 Loss_D_real: -0.025754 Loss_D_fake -0.000790
[532/5000][475/535][54719] Loss_D: -0.024399 Loss_G: 0.024907 Loss_D_real: -0.023985 Loss_D_fake 0.000414
[532/5000][480/535][54720] Loss_D: -0.025027 Loss_G: -0.004275 Loss_D_real: -0.000731 Loss_D_fake 0.024296
[532/5000][485/535][54721] Loss_D: -0.025304 Loss_G: 0.010712 Loss_D_real: -0.018000 Loss_D_fake 0.007304
[532/5000][490/535][54722] Loss_D: -0.028353 Loss_G: 0.004043 Loss_D_real: -0.023351 Loss_D_fake 0.005002
[532/5000][495/535][54723] Loss_D: -0.026795 Loss_G: -0.015287 Loss_D_real: 0.002015 Loss_D_fake 0.028810
[532/5000][500/535][54724] Loss_D: -0.024973 Loss_G: 0.008372 Loss_D_real: -0.013079 Loss_D_fake 0.011894
[532/5000][505/535][54725] Loss_D: -0.025946 Loss_G: 0.002566 Loss_D_real: -0.009248 Loss_D_fake 0.016698
[532/5000][510/535][54726] Loss_D: -0.025063 Loss_G: 0.004814 Loss_D_real: -0.008674 Loss_D_fake 0.016389
[532/5000][515/535][54727] Loss_D: -0.026621 Loss_G: 0.011792 Loss_D_real: -0.017129 Loss_D_fake 0.009492
[532/5000][520/535][54728] Loss_D: -0.027566 Loss_G: 0.013714 Loss_D_real: -0.004565 Loss_D_fake 0.023001
[532/5000][525/535][54729] Loss_D: -0.025545 Loss_G: -0.000149 Loss_D_real: 0.002160 Loss_D_fake 0.027705
[532/5000][530/535][54730] Loss_D: -0.023134 Loss_G: 0.014684 Loss_D_real: -0.019180 Loss_D_fake 0.003954
[532/5000][535/535][54731] Loss_D: -0.020955 Loss_G: 0.001942 Loss_D_real: -0.012765 Loss_D_fake 0.008190
[533/5000][5/535][54732] Loss_D: -0.025210 Loss_G: 0.015403 Loss_D_real: -0.018173 Loss_D_fake 0.007038
[533/5000][10/535][54733] Loss_D: -0.024068 Loss_G: 0.001289 Loss_D_real: -0.017471 Loss_D_fake 0.006597
[533/5000][15/535][54734] Loss_D: -0.024552 Loss_G: 0.010370 Loss_D_real: -0.029145 Loss_D_fake -0.004593
[533/5000][20/535][54735] Loss_D: -0.025327 Loss_G: 0.027826 Loss_D_real: -0.023710 Loss_D_fake 0.001617
[533/5000][25/535][54736] Loss_D: -0.025562 Loss_G: -0.008286 Loss_D_real: -0.011215 Loss_D_fake 0.014347
[533/5000][30/535][54737] Loss_D: -0.023226 Loss_G: 0.026090 Loss_D_real: -0.031156 Loss_D_fake -0.007930
[533/5000][35/535][54738] Loss_D: -0.024648 Loss_G: 0.016395 Loss_D_real: -0.012850 Loss_D_fake 0.011798
[533/5000][40/535][54739] Loss_D: -0.027814 Loss_G: 0.023444 Loss_D_real: -0.020387 Loss_D_fake 0.007428
[533/5000][45/535][54740] Loss_D: -0.026786 Loss_G: 0.029130 Loss_D_real: -0.024419 Loss_D_fake 0.002367
[533/5000][50/535][54741] Loss_D: -0.025493 Loss_G: 0.008486 Loss_D_real: -0.020583 Loss_D_fake 0.004911
[533/5000][55/535][54742] Loss_D: -0.026110 Loss_G: 0.014889 Loss_D_real: -0.029235 Loss_D_fake -0.003125
[533/5000][60/535][54743] Loss_D: -0.027213 Loss_G: 0.019329 Loss_D_real: -0.025838 Loss_D_fake 0.001375
[533/5000][65/535][54744] Loss_D: -0.026059 Loss_G: 0.022793 Loss_D_real: -0.019871 Loss_D_fake 0.006188
[533/5000][70/535][54745] Loss_D: -0.025568 Loss_G: 0.020614 Loss_D_real: -0.024323 Loss_D_fake 0.001246
[533/5000][75/535][54746] Loss_D: -0.026444 Loss_G: 0.013831 Loss_D_real: -0.018835 Loss_D_fake 0.007609
[533/5000][80/535][54747] Loss_D: -0.025053 Loss_G: 0.036784 Loss_D_real: -0.034514 Loss_D_fake -0.009461
[533/5000][85/535][54748] Loss_D: -0.025735 Loss_G: 0.015350 Loss_D_real: -0.019354 Loss_D_fake 0.006381
[533/5000][90/535][54749] Loss_D: -0.027330 Loss_G: -0.008951 Loss_D_real: -0.008054 Loss_D_fake 0.019277
[533/5000][95/535][54750] Loss_D: -0.023965 Loss_G: 0.009049 Loss_D_real: -0.017126 Loss_D_fake 0.006839
[533/5000][100/535][54751] Loss_D: -0.026615 Loss_G: 0.007418 Loss_D_real: -0.005142 Loss_D_fake 0.021472
[533/5000][105/535][54752] Loss_D: -0.024608 Loss_G: 0.030650 Loss_D_real: -0.030333 Loss_D_fake -0.005726
[533/5000][110/535][54753] Loss_D: -0.025173 Loss_G: 0.016235 Loss_D_real: -0.014775 Loss_D_fake 0.010398
[533/5000][115/535][54754] Loss_D: -0.027057 Loss_G: 0.020318 Loss_D_real: -0.030946 Loss_D_fake -0.003890
[533/5000][120/535][54755] Loss_D: -0.025886 Loss_G: 0.004453 Loss_D_real: -0.020989 Loss_D_fake 0.004896
[533/5000][125/535][54756] Loss_D: -0.026711 Loss_G: -0.002199 Loss_D_real: -0.006672 Loss_D_fake 0.020040
[533/5000][130/535][54757] Loss_D: -0.025915 Loss_G: 0.003039 Loss_D_real: -0.009436 Loss_D_fake 0.016479
[533/5000][135/535][54758] Loss_D: -0.025507 Loss_G: 0.021417 Loss_D_real: -0.026088 Loss_D_fake -0.000581
[533/5000][140/535][54759] Loss_D: -0.025083 Loss_G: -0.004323 Loss_D_real: -0.004758 Loss_D_fake 0.020324
[533/5000][145/535][54760] Loss_D: -0.026340 Loss_G: 0.000598 Loss_D_real: -0.002023 Loss_D_fake 0.024317
[533/5000][150/535][54761] Loss_D: -0.026935 Loss_G: 0.033321 Loss_D_real: -0.028190 Loss_D_fake -0.001255
[533/5000][155/535][54762] Loss_D: -0.027603 Loss_G: 0.020600 Loss_D_real: -0.028680 Loss_D_fake -0.001077
[533/5000][160/535][54763] Loss_D: -0.027198 Loss_G: 0.036477 Loss_D_real: -0.026025 Loss_D_fake 0.001173
[533/5000][165/535][54764] Loss_D: -0.026358 Loss_G: -0.012057 Loss_D_real: -0.005311 Loss_D_fake 0.021048
[533/5000][170/535][54765] Loss_D: -0.026347 Loss_G: 0.012411 Loss_D_real: -0.014030 Loss_D_fake 0.012317
[533/5000][175/535][54766] Loss_D: -0.025200 Loss_G: -0.000222 Loss_D_real: -0.006216 Loss_D_fake 0.018984
[533/5000][180/535][54767] Loss_D: -0.025406 Loss_G: 0.013254 Loss_D_real: -0.018806 Loss_D_fake 0.006599
[533/5000][185/535][54768] Loss_D: -0.023873 Loss_G: 0.031359 Loss_D_real: -0.034182 Loss_D_fake -0.010309
[533/5000][190/535][54769] Loss_D: -0.025483 Loss_G: 0.017374 Loss_D_real: -0.022127 Loss_D_fake 0.003355
[533/5000][195/535][54770] Loss_D: -0.026215 Loss_G: 0.036992 Loss_D_real: -0.027308 Loss_D_fake -0.001094
[533/5000][200/535][54771] Loss_D: -0.025417 Loss_G: 0.008270 Loss_D_real: -0.008677 Loss_D_fake 0.016740
[533/5000][205/535][54772] Loss_D: -0.023188 Loss_G: 0.030611 Loss_D_real: -0.034457 Loss_D_fake -0.011270
[533/5000][210/535][54773] Loss_D: -0.026320 Loss_G: -0.005800 Loss_D_real: -0.000844 Loss_D_fake 0.025476
[533/5000][215/535][54774] Loss_D: -0.025378 Loss_G: 0.019157 Loss_D_real: -0.034971 Loss_D_fake -0.009593
[533/5000][220/535][54775] Loss_D: -0.025968 Loss_G: 0.020146 Loss_D_real: -0.026503 Loss_D_fake -0.000535
[533/5000][225/535][54776] Loss_D: -0.026516 Loss_G: 0.031001 Loss_D_real: -0.030149 Loss_D_fake -0.003633
[533/5000][230/535][54777] Loss_D: -0.025775 Loss_G: 0.017452 Loss_D_real: -0.013663 Loss_D_fake 0.012112
[533/5000][235/535][54778] Loss_D: -0.026619 Loss_G: 0.007703 Loss_D_real: -0.009700 Loss_D_fake 0.016919
[533/5000][240/535][54779] Loss_D: -0.024822 Loss_G: 0.020334 Loss_D_real: -0.014431 Loss_D_fake 0.010391
[533/5000][245/535][54780] Loss_D: -0.026083 Loss_G: 0.029977 Loss_D_real: -0.021364 Loss_D_fake 0.004719
[533/5000][250/535][54781] Loss_D: -0.026030 Loss_G: 0.006056 Loss_D_real: -0.014847 Loss_D_fake 0.011183
[533/5000][255/535][54782] Loss_D: -0.025055 Loss_G: 0.028658 Loss_D_real: -0.024588 Loss_D_fake 0.000467
[533/5000][260/535][54783] Loss_D: -0.025912 Loss_G: -0.002503 Loss_D_real: 0.000165 Loss_D_fake 0.026077
[533/5000][265/535][54784] Loss_D: -0.026565 Loss_G: 0.004680 Loss_D_real: -0.013311 Loss_D_fake 0.013254
[533/5000][270/535][54785] Loss_D: -0.025283 Loss_G: 0.031715 Loss_D_real: -0.025257 Loss_D_fake 0.000026
[533/5000][275/535][54786] Loss_D: -0.026449 Loss_G: -0.013597 Loss_D_real: -0.007430 Loss_D_fake 0.019020
[533/5000][280/535][54787] Loss_D: -0.026879 Loss_G: 0.018428 Loss_D_real: -0.018746 Loss_D_fake 0.008134
[533/5000][285/535][54788] Loss_D: -0.027538 Loss_G: -0.002519 Loss_D_real: 0.003344 Loss_D_fake 0.030882
[533/5000][290/535][54789] Loss_D: -0.026286 Loss_G: 0.007459 Loss_D_real: -0.009454 Loss_D_fake 0.016832
[533/5000][295/535][54790] Loss_D: -0.026050 Loss_G: 0.004695 Loss_D_real: -0.010945 Loss_D_fake 0.015104
[533/5000][300/535][54791] Loss_D: -0.028504 Loss_G: 0.022673 Loss_D_real: -0.017758 Loss_D_fake 0.010746
[533/5000][305/535][54792] Loss_D: -0.027362 Loss_G: 0.003543 Loss_D_real: -0.007781 Loss_D_fake 0.019581
[533/5000][310/535][54793] Loss_D: -0.025533 Loss_G: 0.018286 Loss_D_real: -0.030947 Loss_D_fake -0.005414
[533/5000][315/535][54794] Loss_D: -0.025982 Loss_G: 0.014170 Loss_D_real: -0.014247 Loss_D_fake 0.011736
[533/5000][320/535][54795] Loss_D: -0.026528 Loss_G: 0.019524 Loss_D_real: -0.017483 Loss_D_fake 0.009045
[533/5000][325/535][54796] Loss_D: -0.026138 Loss_G: 0.009961 Loss_D_real: -0.019715 Loss_D_fake 0.006423
[533/5000][330/535][54797] Loss_D: -0.027234 Loss_G: 0.013442 Loss_D_real: -0.027905 Loss_D_fake -0.000672
[533/5000][335/535][54798] Loss_D: -0.026171 Loss_G: 0.025956 Loss_D_real: -0.031331 Loss_D_fake -0.005161
[533/5000][340/535][54799] Loss_D: -0.023584 Loss_G: 0.032640 Loss_D_real: -0.031704 Loss_D_fake -0.008119
[533/5000][345/535][54800] Loss_D: -0.026794 Loss_G: 0.006910 Loss_D_real: -0.014647 Loss_D_fake 0.012147
[533/5000][350/535][54801] Loss_D: -0.026793 Loss_G: -0.008979 Loss_D_real: 0.000105 Loss_D_fake 0.026898
[533/5000][355/535][54802] Loss_D: -0.025887 Loss_G: 0.024116 Loss_D_real: -0.025297 Loss_D_fake 0.000590
[533/5000][360/535][54803] Loss_D: -0.024904 Loss_G: 0.029622 Loss_D_real: -0.030920 Loss_D_fake -0.006016
[533/5000][365/535][54804] Loss_D: -0.026492 Loss_G: 0.016937 Loss_D_real: -0.015019 Loss_D_fake 0.011473
[533/5000][370/535][54805] Loss_D: -0.025201 Loss_G: 0.019964 Loss_D_real: -0.023155 Loss_D_fake 0.002047
[533/5000][375/535][54806] Loss_D: -0.027102 Loss_G: 0.003178 Loss_D_real: -0.012836 Loss_D_fake 0.014266
[533/5000][380/535][54807] Loss_D: -0.026136 Loss_G: 0.025044 Loss_D_real: -0.032365 Loss_D_fake -0.006229
[533/5000][385/535][54808] Loss_D: -0.027557 Loss_G: 0.030844 Loss_D_real: -0.020858 Loss_D_fake 0.006700
[533/5000][390/535][54809] Loss_D: -0.026910 Loss_G: -0.001510 Loss_D_real: -0.004912 Loss_D_fake 0.021998
[533/5000][395/535][54810] Loss_D: -0.027262 Loss_G: 0.017166 Loss_D_real: -0.032247 Loss_D_fake -0.004985
[533/5000][400/535][54811] Loss_D: -0.027225 Loss_G: -0.001554 Loss_D_real: -0.005490 Loss_D_fake 0.021735
[533/5000][405/535][54812] Loss_D: -0.024627 Loss_G: -0.009142 Loss_D_real: -0.003145 Loss_D_fake 0.021482
[533/5000][410/535][54813] Loss_D: -0.026019 Loss_G: 0.031784 Loss_D_real: -0.023952 Loss_D_fake 0.002068
[533/5000][415/535][54814] Loss_D: -0.025204 Loss_G: 0.001389 Loss_D_real: -0.010270 Loss_D_fake 0.014933
[533/5000][420/535][54815] Loss_D: -0.025222 Loss_G: 0.004500 Loss_D_real: -0.018723 Loss_D_fake 0.006499
[533/5000][425/535][54816] Loss_D: -0.026941 Loss_G: 0.020390 Loss_D_real: -0.017258 Loss_D_fake 0.009683
[533/5000][430/535][54817] Loss_D: -0.026124 Loss_G: 0.027295 Loss_D_real: -0.027720 Loss_D_fake -0.001597
[533/5000][435/535][54818] Loss_D: -0.024784 Loss_G: 0.033369 Loss_D_real: -0.029407 Loss_D_fake -0.004623
[533/5000][440/535][54819] Loss_D: -0.025651 Loss_G: 0.014208 Loss_D_real: -0.012728 Loss_D_fake 0.012923
[533/5000][445/535][54820] Loss_D: -0.025876 Loss_G: 0.015021 Loss_D_real: -0.012807 Loss_D_fake 0.013070
[533/5000][450/535][54821] Loss_D: -0.026029 Loss_G: 0.019301 Loss_D_real: -0.014888 Loss_D_fake 0.011141
[533/5000][455/535][54822] Loss_D: -0.025070 Loss_G: 0.023335 Loss_D_real: -0.015296 Loss_D_fake 0.009774
[533/5000][460/535][54823] Loss_D: -0.025693 Loss_G: 0.034650 Loss_D_real: -0.024253 Loss_D_fake 0.001440
[533/5000][465/535][54824] Loss_D: -0.025349 Loss_G: 0.013679 Loss_D_real: -0.024979 Loss_D_fake 0.000370
[533/5000][470/535][54825] Loss_D: -0.026125 Loss_G: -0.001053 Loss_D_real: -0.014128 Loss_D_fake 0.011996
[533/5000][475/535][54826] Loss_D: -0.024942 Loss_G: 0.021548 Loss_D_real: -0.026736 Loss_D_fake -0.001794
[533/5000][480/535][54827] Loss_D: -0.024909 Loss_G: 0.000268 Loss_D_real: -0.003171 Loss_D_fake 0.021738
[533/5000][485/535][54828] Loss_D: -0.024726 Loss_G: -0.000100 Loss_D_real: -0.008996 Loss_D_fake 0.015730
[533/5000][490/535][54829] Loss_D: -0.026119 Loss_G: 0.006110 Loss_D_real: -0.019337 Loss_D_fake 0.006781
[533/5000][495/535][54830] Loss_D: -0.025441 Loss_G: 0.041823 Loss_D_real: -0.025421 Loss_D_fake 0.000020
[533/5000][500/535][54831] Loss_D: -0.025637 Loss_G: -0.005702 Loss_D_real: 0.000173 Loss_D_fake 0.025810
[533/5000][505/535][54832] Loss_D: -0.025437 Loss_G: 0.014278 Loss_D_real: -0.016333 Loss_D_fake 0.009104
[533/5000][510/535][54833] Loss_D: -0.025864 Loss_G: -0.000735 Loss_D_real: -0.010040 Loss_D_fake 0.015824
[533/5000][515/535][54834] Loss_D: -0.027103 Loss_G: -0.000974 Loss_D_real: -0.013005 Loss_D_fake 0.014098
[533/5000][520/535][54835] Loss_D: -0.025330 Loss_G: -0.003684 Loss_D_real: -0.005512 Loss_D_fake 0.019818
[533/5000][525/535][54836] Loss_D: -0.024953 Loss_G: 0.024078 Loss_D_real: -0.031880 Loss_D_fake -0.006927
[533/5000][530/535][54837] Loss_D: -0.026537 Loss_G: 0.015648 Loss_D_real: -0.017649 Loss_D_fake 0.008888
[533/5000][535/535][54838] Loss_D: -0.025937 Loss_G: 0.037897 Loss_D_real: -0.017718 Loss_D_fake 0.008219
[534/5000][5/535][54839] Loss_D: -0.025386 Loss_G: 0.006859 Loss_D_real: -0.002215 Loss_D_fake 0.023171
[534/5000][10/535][54840] Loss_D: -0.025928 Loss_G: 0.031032 Loss_D_real: -0.027064 Loss_D_fake -0.001137
[534/5000][15/535][54841] Loss_D: -0.025912 Loss_G: 0.008075 Loss_D_real: -0.032663 Loss_D_fake -0.006750
[534/5000][20/535][54842] Loss_D: -0.025061 Loss_G: 0.025115 Loss_D_real: -0.024049 Loss_D_fake 0.001013
[534/5000][25/535][54843] Loss_D: -0.026951 Loss_G: 0.023659 Loss_D_real: -0.032374 Loss_D_fake -0.005423
[534/5000][30/535][54844] Loss_D: -0.025658 Loss_G: -0.014083 Loss_D_real: -0.000154 Loss_D_fake 0.025504
[534/5000][35/535][54845] Loss_D: -0.026081 Loss_G: 0.021131 Loss_D_real: -0.019526 Loss_D_fake 0.006555
[534/5000][40/535][54846] Loss_D: -0.025938 Loss_G: 0.019218 Loss_D_real: -0.021801 Loss_D_fake 0.004136
[534/5000][45/535][54847] Loss_D: -0.026377 Loss_G: 0.019745 Loss_D_real: -0.024789 Loss_D_fake 0.001588
[534/5000][50/535][54848] Loss_D: -0.025502 Loss_G: 0.012278 Loss_D_real: -0.013004 Loss_D_fake 0.012499
[534/5000][55/535][54849] Loss_D: -0.024912 Loss_G: 0.029205 Loss_D_real: -0.030631 Loss_D_fake -0.005719
[534/5000][60/535][54850] Loss_D: -0.026592 Loss_G: 0.005039 Loss_D_real: -0.011171 Loss_D_fake 0.015421
[534/5000][65/535][54851] Loss_D: -0.026229 Loss_G: 0.000470 Loss_D_real: -0.009440 Loss_D_fake 0.016790
[534/5000][70/535][54852] Loss_D: -0.025665 Loss_G: 0.026584 Loss_D_real: -0.029380 Loss_D_fake -0.003715
[534/5000][75/535][54853] Loss_D: -0.025074 Loss_G: 0.006813 Loss_D_real: -0.009318 Loss_D_fake 0.015756
[534/5000][80/535][54854] Loss_D: -0.025189 Loss_G: 0.004199 Loss_D_real: -0.003323 Loss_D_fake 0.021866
[534/5000][85/535][54855] Loss_D: -0.024616 Loss_G: 0.006163 Loss_D_real: -0.003107 Loss_D_fake 0.021509
[534/5000][90/535][54856] Loss_D: -0.026404 Loss_G: 0.003369 Loss_D_real: -0.007263 Loss_D_fake 0.019141
[534/5000][95/535][54857] Loss_D: -0.025302 Loss_G: -0.002518 Loss_D_real: -0.006083 Loss_D_fake 0.019219
[534/5000][100/535][54858] Loss_D: -0.025322 Loss_G: 0.026350 Loss_D_real: -0.028127 Loss_D_fake -0.002804
[534/5000][105/535][54859] Loss_D: -0.024764 Loss_G: -0.003980 Loss_D_real: -0.006635 Loss_D_fake 0.018129
[534/5000][110/535][54860] Loss_D: -0.026617 Loss_G: 0.011427 Loss_D_real: -0.016920 Loss_D_fake 0.009697
[534/5000][115/535][54861] Loss_D: -0.025171 Loss_G: 0.019233 Loss_D_real: -0.027327 Loss_D_fake -0.002156
[534/5000][120/535][54862] Loss_D: -0.025999 Loss_G: 0.014357 Loss_D_real: -0.005373 Loss_D_fake 0.020626
[534/5000][125/535][54863] Loss_D: -0.026834 Loss_G: 0.025522 Loss_D_real: -0.022727 Loss_D_fake 0.004107
[534/5000][130/535][54864] Loss_D: -0.026876 Loss_G: 0.000217 Loss_D_real: -0.003293 Loss_D_fake 0.023584
[534/5000][135/535][54865] Loss_D: -0.026028 Loss_G: 0.011966 Loss_D_real: -0.018850 Loss_D_fake 0.007178
[534/5000][140/535][54866] Loss_D: -0.026745 Loss_G: 0.011404 Loss_D_real: -0.011097 Loss_D_fake 0.015648
[534/5000][145/535][54867] Loss_D: -0.025833 Loss_G: 0.020169 Loss_D_real: -0.014556 Loss_D_fake 0.011277
[534/5000][150/535][54868] Loss_D: -0.025560 Loss_G: 0.000465 Loss_D_real: -0.003996 Loss_D_fake 0.021564
[534/5000][155/535][54869] Loss_D: -0.026746 Loss_G: 0.022128 Loss_D_real: -0.018506 Loss_D_fake 0.008239
[534/5000][160/535][54870] Loss_D: -0.025575 Loss_G: -0.003718 Loss_D_real: 0.003274 Loss_D_fake 0.028850
[534/5000][165/535][54871] Loss_D: -0.025613 Loss_G: 0.015776 Loss_D_real: -0.019757 Loss_D_fake 0.005856
[534/5000][170/535][54872] Loss_D: -0.025448 Loss_G: 0.015703 Loss_D_real: -0.018525 Loss_D_fake 0.006923
[534/5000][175/535][54873] Loss_D: -0.025462 Loss_G: 0.023061 Loss_D_real: -0.022096 Loss_D_fake 0.003366
[534/5000][180/535][54874] Loss_D: -0.025118 Loss_G: 0.024327 Loss_D_real: -0.019828 Loss_D_fake 0.005290
[534/5000][185/535][54875] Loss_D: -0.024723 Loss_G: 0.040492 Loss_D_real: -0.028410 Loss_D_fake -0.003687
[534/5000][190/535][54876] Loss_D: -0.026491 Loss_G: 0.024156 Loss_D_real: -0.019995 Loss_D_fake 0.006496
[534/5000][195/535][54877] Loss_D: -0.027553 Loss_G: 0.018205 Loss_D_real: -0.008605 Loss_D_fake 0.018948
[534/5000][200/535][54878] Loss_D: -0.026430 Loss_G: -0.008906 Loss_D_real: -0.011845 Loss_D_fake 0.014585
[534/5000][205/535][54879] Loss_D: -0.025445 Loss_G: 0.023721 Loss_D_real: -0.028175 Loss_D_fake -0.002730
[534/5000][210/535][54880] Loss_D: -0.026548 Loss_G: 0.010336 Loss_D_real: -0.021381 Loss_D_fake 0.005167
[534/5000][215/535][54881] Loss_D: -0.026875 Loss_G: 0.017711 Loss_D_real: -0.016895 Loss_D_fake 0.009980
[534/5000][220/535][54882] Loss_D: -0.026993 Loss_G: 0.016771 Loss_D_real: -0.019319 Loss_D_fake 0.007674
[534/5000][225/535][54883] Loss_D: -0.026180 Loss_G: -0.006354 Loss_D_real: 0.004611 Loss_D_fake 0.030791
[534/5000][230/535][54884] Loss_D: -0.026291 Loss_G: 0.017148 Loss_D_real: -0.025074 Loss_D_fake 0.001217
[534/5000][235/535][54885] Loss_D: -0.025302 Loss_G: 0.030830 Loss_D_real: -0.019281 Loss_D_fake 0.006021
[534/5000][240/535][54886] Loss_D: -0.025856 Loss_G: 0.001007 Loss_D_real: -0.007478 Loss_D_fake 0.018379
[534/5000][245/535][54887] Loss_D: -0.025219 Loss_G: 0.028705 Loss_D_real: -0.026236 Loss_D_fake -0.001017
[534/5000][250/535][54888] Loss_D: -0.026620 Loss_G: 0.027872 Loss_D_real: -0.019311 Loss_D_fake 0.007309
[534/5000][255/535][54889] Loss_D: -0.027836 Loss_G: 0.015136 Loss_D_real: -0.020454 Loss_D_fake 0.007382
[534/5000][260/535][54890] Loss_D: -0.025296 Loss_G: 0.032007 Loss_D_real: -0.031976 Loss_D_fake -0.006681
[534/5000][265/535][54891] Loss_D: -0.026823 Loss_G: 0.006397 Loss_D_real: -0.014305 Loss_D_fake 0.012518
[534/5000][270/535][54892] Loss_D: -0.026571 Loss_G: 0.014446 Loss_D_real: -0.017296 Loss_D_fake 0.009275
[534/5000][275/535][54893] Loss_D: -0.026125 Loss_G: -0.009297 Loss_D_real: -0.010873 Loss_D_fake 0.015252
[534/5000][280/535][54894] Loss_D: -0.026528 Loss_G: 0.026289 Loss_D_real: -0.015358 Loss_D_fake 0.011170
[534/5000][285/535][54895] Loss_D: -0.024937 Loss_G: 0.008395 Loss_D_real: -0.007167 Loss_D_fake 0.017770
[534/5000][290/535][54896] Loss_D: -0.025515 Loss_G: 0.027771 Loss_D_real: -0.038261 Loss_D_fake -0.012746
[534/5000][295/535][54897] Loss_D: -0.025501 Loss_G: 0.022123 Loss_D_real: -0.020434 Loss_D_fake 0.005067
[534/5000][300/535][54898] Loss_D: -0.026930 Loss_G: -0.005835 Loss_D_real: 0.002091 Loss_D_fake 0.029021
[534/5000][305/535][54899] Loss_D: -0.026186 Loss_G: 0.006857 Loss_D_real: -0.018356 Loss_D_fake 0.007830
[534/5000][310/535][54900] Loss_D: -0.026976 Loss_G: -0.001696 Loss_D_real: -0.006190 Loss_D_fake 0.020787
[534/5000][315/535][54901] Loss_D: -0.026549 Loss_G: 0.023546 Loss_D_real: -0.024538 Loss_D_fake 0.002011
[534/5000][320/535][54902] Loss_D: -0.027150 Loss_G: 0.007669 Loss_D_real: -0.012793 Loss_D_fake 0.014357
[534/5000][325/535][54903] Loss_D: -0.025693 Loss_G: 0.008809 Loss_D_real: -0.015024 Loss_D_fake 0.010669
[534/5000][330/535][54904] Loss_D: -0.027465 Loss_G: 0.038140 Loss_D_real: -0.027736 Loss_D_fake -0.000270
[534/5000][335/535][54905] Loss_D: -0.025859 Loss_G: 0.004185 Loss_D_real: -0.011636 Loss_D_fake 0.014223
[534/5000][340/535][54906] Loss_D: -0.026145 Loss_G: 0.005978 Loss_D_real: -0.024934 Loss_D_fake 0.001211
[534/5000][345/535][54907] Loss_D: -0.024512 Loss_G: 0.044826 Loss_D_real: -0.031152 Loss_D_fake -0.006640
[534/5000][350/535][54908] Loss_D: -0.025284 Loss_G: 0.008221 Loss_D_real: -0.004849 Loss_D_fake 0.020435
[534/5000][355/535][54909] Loss_D: -0.026553 Loss_G: 0.000342 Loss_D_real: -0.011761 Loss_D_fake 0.014793
[534/5000][360/535][54910] Loss_D: -0.025009 Loss_G: -0.002193 Loss_D_real: -0.010525 Loss_D_fake 0.014484
[534/5000][365/535][54911] Loss_D: -0.024450 Loss_G: -0.018286 Loss_D_real: -0.000996 Loss_D_fake 0.023454
[534/5000][370/535][54912] Loss_D: -0.025173 Loss_G: 0.018041 Loss_D_real: -0.030415 Loss_D_fake -0.005241
[534/5000][375/535][54913] Loss_D: -0.025508 Loss_G: -0.003974 Loss_D_real: 0.005380 Loss_D_fake 0.030887
[534/5000][380/535][54914] Loss_D: -0.024813 Loss_G: -0.004464 Loss_D_real: -0.003394 Loss_D_fake 0.021419
[534/5000][385/535][54915] Loss_D: -0.024889 Loss_G: 0.008488 Loss_D_real: -0.014304 Loss_D_fake 0.010586
[534/5000][390/535][54916] Loss_D: -0.025508 Loss_G: 0.033271 Loss_D_real: -0.029406 Loss_D_fake -0.003898
[534/5000][395/535][54917] Loss_D: -0.028022 Loss_G: 0.023880 Loss_D_real: -0.025935 Loss_D_fake 0.002087
[534/5000][400/535][54918] Loss_D: -0.025836 Loss_G: 0.018169 Loss_D_real: -0.030319 Loss_D_fake -0.004483
[534/5000][405/535][54919] Loss_D: -0.026548 Loss_G: 0.022968 Loss_D_real: -0.028467 Loss_D_fake -0.001919
[534/5000][410/535][54920] Loss_D: -0.026628 Loss_G: 0.016893 Loss_D_real: -0.014773 Loss_D_fake 0.011856
[534/5000][415/535][54921] Loss_D: -0.027838 Loss_G: -0.001458 Loss_D_real: -0.010162 Loss_D_fake 0.017677
[534/5000][420/535][54922] Loss_D: -0.026084 Loss_G: 0.006500 Loss_D_real: -0.016000 Loss_D_fake 0.010085
[534/5000][425/535][54923] Loss_D: -0.025714 Loss_G: 0.005291 Loss_D_real: -0.016126 Loss_D_fake 0.009588
[534/5000][430/535][54924] Loss_D: -0.027271 Loss_G: 0.034191 Loss_D_real: -0.027702 Loss_D_fake -0.000431
[534/5000][435/535][54925] Loss_D: -0.026032 Loss_G: 0.022294 Loss_D_real: -0.014625 Loss_D_fake 0.011408
[534/5000][440/535][54926] Loss_D: -0.025696 Loss_G: 0.004780 Loss_D_real: -0.009182 Loss_D_fake 0.016514
[534/5000][445/535][54927] Loss_D: -0.024543 Loss_G: 0.018728 Loss_D_real: -0.020591 Loss_D_fake 0.003951
[534/5000][450/535][54928] Loss_D: -0.024605 Loss_G: -0.004877 Loss_D_real: 0.001606 Loss_D_fake 0.026211
[534/5000][455/535][54929] Loss_D: -0.023607 Loss_G: 0.013173 Loss_D_real: -0.014215 Loss_D_fake 0.009392
[534/5000][460/535][54930] Loss_D: -0.025266 Loss_G: 0.019292 Loss_D_real: -0.025030 Loss_D_fake 0.000236
[534/5000][465/535][54931] Loss_D: -0.025924 Loss_G: 0.012676 Loss_D_real: -0.022198 Loss_D_fake 0.003726
[534/5000][470/535][54932] Loss_D: -0.024773 Loss_G: 0.034388 Loss_D_real: -0.028098 Loss_D_fake -0.003326
[534/5000][475/535][54933] Loss_D: -0.026064 Loss_G: -0.000884 Loss_D_real: 0.007022 Loss_D_fake 0.033086
[534/5000][480/535][54934] Loss_D: -0.025344 Loss_G: 0.032181 Loss_D_real: -0.033308 Loss_D_fake -0.007964
[534/5000][485/535][54935] Loss_D: -0.026386 Loss_G: 0.007818 Loss_D_real: -0.016755 Loss_D_fake 0.009630
[534/5000][490/535][54936] Loss_D: -0.027016 Loss_G: 0.025751 Loss_D_real: -0.020188 Loss_D_fake 0.006828
[534/5000][495/535][54937] Loss_D: -0.026714 Loss_G: 0.017498 Loss_D_real: -0.023862 Loss_D_fake 0.002853
[534/5000][500/535][54938] Loss_D: -0.026646 Loss_G: -0.000035 Loss_D_real: -0.018368 Loss_D_fake 0.008278
[534/5000][505/535][54939] Loss_D: -0.025804 Loss_G: 0.007479 Loss_D_real: -0.015672 Loss_D_fake 0.010132
[534/5000][510/535][54940] Loss_D: -0.026648 Loss_G: 0.029900 Loss_D_real: -0.023727 Loss_D_fake 0.002921
[534/5000][515/535][54941] Loss_D: -0.025541 Loss_G: -0.015904 Loss_D_real: -0.005130 Loss_D_fake 0.020411
[534/5000][520/535][54942] Loss_D: -0.025488 Loss_G: 0.027930 Loss_D_real: -0.026099 Loss_D_fake -0.000611
[534/5000][525/535][54943] Loss_D: -0.024777 Loss_G: -0.000603 Loss_D_real: 0.000189 Loss_D_fake 0.024966
[534/5000][530/535][54944] Loss_D: -0.024324 Loss_G: 0.025934 Loss_D_real: -0.030778 Loss_D_fake -0.006453
[534/5000][535/535][54945] Loss_D: -0.025864 Loss_G: 0.037480 Loss_D_real: -0.029901 Loss_D_fake -0.004037
[535/5000][5/535][54946] Loss_D: -0.025693 Loss_G: 0.021498 Loss_D_real: -0.020213 Loss_D_fake 0.005480
[535/5000][10/535][54947] Loss_D: -0.025462 Loss_G: 0.001860 Loss_D_real: -0.006475 Loss_D_fake 0.018987
[535/5000][15/535][54948] Loss_D: -0.027535 Loss_G: 0.013700 Loss_D_real: -0.027396 Loss_D_fake 0.000139
[535/5000][20/535][54949] Loss_D: -0.027826 Loss_G: 0.013364 Loss_D_real: -0.018110 Loss_D_fake 0.009716
[535/5000][25/535][54950] Loss_D: -0.026168 Loss_G: 0.018688 Loss_D_real: -0.021528 Loss_D_fake 0.004639
[535/5000][30/535][54951] Loss_D: -0.026952 Loss_G: 0.038149 Loss_D_real: -0.041741 Loss_D_fake -0.014788
[535/5000][35/535][54952] Loss_D: -0.026673 Loss_G: -0.003655 Loss_D_real: -0.002461 Loss_D_fake 0.024211
[535/5000][40/535][54953] Loss_D: -0.023981 Loss_G: 0.027047 Loss_D_real: -0.025181 Loss_D_fake -0.001200
[535/5000][45/535][54954] Loss_D: -0.026056 Loss_G: 0.013915 Loss_D_real: -0.018856 Loss_D_fake 0.007200
[535/5000][50/535][54955] Loss_D: -0.024628 Loss_G: 0.004890 Loss_D_real: -0.008282 Loss_D_fake 0.016346
[535/5000][55/535][54956] Loss_D: -0.024830 Loss_G: -0.010332 Loss_D_real: 0.004650 Loss_D_fake 0.029479
[535/5000][60/535][54957] Loss_D: -0.022645 Loss_G: 0.032691 Loss_D_real: -0.038773 Loss_D_fake -0.016129
[535/5000][65/535][54958] Loss_D: -0.025459 Loss_G: 0.013962 Loss_D_real: -0.014941 Loss_D_fake 0.010518
[535/5000][70/535][54959] Loss_D: -0.026929 Loss_G: 0.019376 Loss_D_real: -0.027872 Loss_D_fake -0.000944
[535/5000][75/535][54960] Loss_D: -0.025633 Loss_G: 0.002732 Loss_D_real: -0.010161 Loss_D_fake 0.015472
[535/5000][80/535][54961] Loss_D: -0.024433 Loss_G: 0.042543 Loss_D_real: -0.028373 Loss_D_fake -0.003941
[535/5000][85/535][54962] Loss_D: -0.026947 Loss_G: 0.002399 Loss_D_real: -0.013292 Loss_D_fake 0.013655
[535/5000][90/535][54963] Loss_D: -0.025005 Loss_G: 0.036379 Loss_D_real: -0.040404 Loss_D_fake -0.015400
[535/5000][95/535][54964] Loss_D: -0.025950 Loss_G: -0.001355 Loss_D_real: -0.008323 Loss_D_fake 0.017627
[535/5000][100/535][54965] Loss_D: -0.025883 Loss_G: 0.013514 Loss_D_real: -0.009667 Loss_D_fake 0.016216
[535/5000][105/535][54966] Loss_D: -0.025220 Loss_G: 0.012704 Loss_D_real: -0.004390 Loss_D_fake 0.020830
[535/5000][110/535][54967] Loss_D: -0.025787 Loss_G: 0.025489 Loss_D_real: -0.023088 Loss_D_fake 0.002699
[535/5000][115/535][54968] Loss_D: -0.026178 Loss_G: -0.000192 Loss_D_real: -0.009654 Loss_D_fake 0.016523
[535/5000][120/535][54969] Loss_D: -0.025637 Loss_G: 0.009417 Loss_D_real: -0.019392 Loss_D_fake 0.006245
[535/5000][125/535][54970] Loss_D: -0.025480 Loss_G: 0.029807 Loss_D_real: -0.019753 Loss_D_fake 0.005727
[535/5000][130/535][54971] Loss_D: -0.028856 Loss_G: -0.000768 Loss_D_real: -0.006800 Loss_D_fake 0.022056
[535/5000][135/535][54972] Loss_D: -0.026574 Loss_G: 0.017598 Loss_D_real: -0.017869 Loss_D_fake 0.008705
[535/5000][140/535][54973] Loss_D: -0.024843 Loss_G: -0.001506 Loss_D_real: -0.007771 Loss_D_fake 0.017073
[535/5000][145/535][54974] Loss_D: -0.026984 Loss_G: 0.021890 Loss_D_real: -0.013847 Loss_D_fake 0.013137
[535/5000][150/535][54975] Loss_D: -0.024234 Loss_G: 0.032447 Loss_D_real: -0.024703 Loss_D_fake -0.000469
[535/5000][155/535][54976] Loss_D: -0.025352 Loss_G: 0.022751 Loss_D_real: -0.016550 Loss_D_fake 0.008802
[535/5000][160/535][54977] Loss_D: -0.028379 Loss_G: 0.018623 Loss_D_real: -0.023425 Loss_D_fake 0.004954
[535/5000][165/535][54978] Loss_D: -0.027288 Loss_G: -0.002377 Loss_D_real: -0.018986 Loss_D_fake 0.008302
[535/5000][170/535][54979] Loss_D: -0.025879 Loss_G: 0.018110 Loss_D_real: -0.020442 Loss_D_fake 0.005437
[535/5000][175/535][54980] Loss_D: -0.025713 Loss_G: 0.030363 Loss_D_real: -0.022486 Loss_D_fake 0.003227
[535/5000][180/535][54981] Loss_D: -0.025797 Loss_G: -0.008495 Loss_D_real: 0.004476 Loss_D_fake 0.030273
[535/5000][185/535][54982] Loss_D: -0.026420 Loss_G: 0.011793 Loss_D_real: -0.015885 Loss_D_fake 0.010535
[535/5000][190/535][54983] Loss_D: -0.026042 Loss_G: 0.021250 Loss_D_real: -0.018402 Loss_D_fake 0.007640
[535/5000][195/535][54984] Loss_D: -0.024856 Loss_G: 0.028114 Loss_D_real: -0.025481 Loss_D_fake -0.000625
[535/5000][200/535][54985] Loss_D: -0.026440 Loss_G: 0.006952 Loss_D_real: -0.011324 Loss_D_fake 0.015117
[535/5000][205/535][54986] Loss_D: -0.026875 Loss_G: 0.006095 Loss_D_real: -0.015422 Loss_D_fake 0.011453
[535/5000][210/535][54987] Loss_D: -0.026414 Loss_G: 0.008045 Loss_D_real: -0.014780 Loss_D_fake 0.011634
[535/5000][215/535][54988] Loss_D: -0.023931 Loss_G: 0.032113 Loss_D_real: -0.035589 Loss_D_fake -0.011658
[535/5000][220/535][54989] Loss_D: -0.025789 Loss_G: 0.020262 Loss_D_real: -0.010005 Loss_D_fake 0.015784
[535/5000][225/535][54990] Loss_D: -0.024709 Loss_G: 0.001919 Loss_D_real: -0.017103 Loss_D_fake 0.007606
[535/5000][230/535][54991] Loss_D: -0.025576 Loss_G: 0.035397 Loss_D_real: -0.030767 Loss_D_fake -0.005191
[535/5000][235/535][54992] Loss_D: -0.025828 Loss_G: -0.007102 Loss_D_real: -0.007789 Loss_D_fake 0.018039
[535/5000][240/535][54993] Loss_D: -0.023946 Loss_G: -0.012089 Loss_D_real: 0.000710 Loss_D_fake 0.024656
[535/5000][245/535][54994] Loss_D: -0.025617 Loss_G: 0.011707 Loss_D_real: -0.013147 Loss_D_fake 0.012469
[535/5000][250/535][54995] Loss_D: -0.026460 Loss_G: 0.000116 Loss_D_real: -0.003651 Loss_D_fake 0.022810
[535/5000][255/535][54996] Loss_D: -0.026024 Loss_G: 0.025720 Loss_D_real: -0.016041 Loss_D_fake 0.009983
[535/5000][260/535][54997] Loss_D: -0.027010 Loss_G: 0.010475 Loss_D_real: -0.014936 Loss_D_fake 0.012074
[535/5000][265/535][54998] Loss_D: -0.026145 Loss_G: 0.015005 Loss_D_real: -0.018771 Loss_D_fake 0.007373
[535/5000][270/535][54999] Loss_D: -0.027150 Loss_G: 0.026933 Loss_D_real: -0.014808 Loss_D_fake 0.012342
[535/5000][275/535][55000] Loss_D: -0.028022 Loss_G: 0.007109 Loss_D_real: -0.017353 Loss_D_fake 0.010669
[535/5000][375/535][55001] Loss_D: -0.028815 Loss_G: 0.016939 Loss_D_real: -0.022126 Loss_D_fake 0.006689
[535/5000][380/535][55002] Loss_D: -0.026636 Loss_G: 0.028877 Loss_D_real: -0.027702 Loss_D_fake -0.001065
[535/5000][385/535][55003] Loss_D: -0.023741 Loss_G: 0.025585 Loss_D_real: -0.028943 Loss_D_fake -0.005203
[535/5000][390/535][55004] Loss_D: -0.024658 Loss_G: -0.000241 Loss_D_real: -0.002436 Loss_D_fake 0.022222
[535/5000][395/535][55005] Loss_D: -0.022797 Loss_G: 0.013530 Loss_D_real: -0.026306 Loss_D_fake -0.003509
[535/5000][400/535][55006] Loss_D: -0.024744 Loss_G: 0.015269 Loss_D_real: -0.014399 Loss_D_fake 0.010345
[535/5000][405/535][55007] Loss_D: -0.023467 Loss_G: 0.003162 Loss_D_real: -0.012549 Loss_D_fake 0.010918
[535/5000][410/535][55008] Loss_D: -0.024980 Loss_G: 0.003761 Loss_D_real: -0.006611 Loss_D_fake 0.018369
[535/5000][415/535][55009] Loss_D: -0.024135 Loss_G: -0.003223 Loss_D_real: -0.003253 Loss_D_fake 0.020882
[535/5000][420/535][55010] Loss_D: -0.025237 Loss_G: 0.003788 Loss_D_real: -0.024274 Loss_D_fake 0.000963
[535/5000][425/535][55011] Loss_D: -0.024935 Loss_G: 0.026063 Loss_D_real: -0.024105 Loss_D_fake 0.000831
[535/5000][430/535][55012] Loss_D: -0.025528 Loss_G: 0.010106 Loss_D_real: -0.015613 Loss_D_fake 0.009915
[535/5000][435/535][55013] Loss_D: -0.025863 Loss_G: 0.022368 Loss_D_real: -0.018241 Loss_D_fake 0.007622
[535/5000][440/535][55014] Loss_D: -0.025854 Loss_G: 0.015547 Loss_D_real: -0.014426 Loss_D_fake 0.011428
[535/5000][445/535][55015] Loss_D: -0.026257 Loss_G: 0.020806 Loss_D_real: -0.018297 Loss_D_fake 0.007960
[535/5000][450/535][55016] Loss_D: -0.026309 Loss_G: 0.016216 Loss_D_real: -0.024900 Loss_D_fake 0.001409
[535/5000][455/535][55017] Loss_D: -0.022888 Loss_G: 0.040338 Loss_D_real: -0.029211 Loss_D_fake -0.006323
[535/5000][460/535][55018] Loss_D: -0.026980 Loss_G: -0.002985 Loss_D_real: -0.007410 Loss_D_fake 0.019570
[535/5000][465/535][55019] Loss_D: -0.024758 Loss_G: 0.028397 Loss_D_real: -0.024726 Loss_D_fake 0.000032
[535/5000][470/535][55020] Loss_D: -0.025535 Loss_G: 0.017907 Loss_D_real: -0.022697 Loss_D_fake 0.002838
[535/5000][475/535][55021] Loss_D: -0.026887 Loss_G: 0.013911 Loss_D_real: -0.014491 Loss_D_fake 0.012396
[535/5000][480/535][55022] Loss_D: -0.026143 Loss_G: 0.008910 Loss_D_real: -0.011911 Loss_D_fake 0.014231
[535/5000][485/535][55023] Loss_D: -0.027334 Loss_G: 0.005797 Loss_D_real: -0.012614 Loss_D_fake 0.014720
[535/5000][490/535][55024] Loss_D: -0.027794 Loss_G: 0.014909 Loss_D_real: -0.005511 Loss_D_fake 0.022282
[535/5000][495/535][55025] Loss_D: -0.025569 Loss_G: -0.009030 Loss_D_real: -0.014574 Loss_D_fake 0.010995
[535/5000][500/535][55026] Loss_D: -0.026107 Loss_G: 0.000922 Loss_D_real: -0.018421 Loss_D_fake 0.007686
[535/5000][505/535][55027] Loss_D: -0.025418 Loss_G: 0.021644 Loss_D_real: -0.022312 Loss_D_fake 0.003106
[535/5000][510/535][55028] Loss_D: -0.025602 Loss_G: 0.025523 Loss_D_real: -0.019054 Loss_D_fake 0.006548
[535/5000][515/535][55029] Loss_D: -0.025624 Loss_G: 0.027853 Loss_D_real: -0.019536 Loss_D_fake 0.006088
[535/5000][520/535][55030] Loss_D: -0.026531 Loss_G: 0.008265 Loss_D_real: -0.012046 Loss_D_fake 0.014486
[535/5000][525/535][55031] Loss_D: -0.024622 Loss_G: 0.015856 Loss_D_real: -0.006236 Loss_D_fake 0.018386
[535/5000][530/535][55032] Loss_D: -0.024471 Loss_G: -0.023802 Loss_D_real: 0.003009 Loss_D_fake 0.027480
[535/5000][535/535][55033] Loss_D: -0.023572 Loss_G: 0.017518 Loss_D_real: -0.014123 Loss_D_fake 0.009448
[536/5000][5/535][55034] Loss_D: -0.026983 Loss_G: -0.002058 Loss_D_real: -0.016598 Loss_D_fake 0.010385
[536/5000][10/535][55035] Loss_D: -0.025252 Loss_G: 0.016790 Loss_D_real: -0.017957 Loss_D_fake 0.007296
[536/5000][15/535][55036] Loss_D: -0.024764 Loss_G: 0.017241 Loss_D_real: -0.021804 Loss_D_fake 0.002960
[536/5000][20/535][55037] Loss_D: -0.023395 Loss_G: 0.002942 Loss_D_real: -0.010218 Loss_D_fake 0.013177
[536/5000][25/535][55038] Loss_D: -0.025862 Loss_G: 0.000540 Loss_D_real: -0.008376 Loss_D_fake 0.017486
[536/5000][30/535][55039] Loss_D: -0.026135 Loss_G: 0.029399 Loss_D_real: -0.024219 Loss_D_fake 0.001916
[536/5000][35/535][55040] Loss_D: -0.026212 Loss_G: 0.017753 Loss_D_real: -0.014721 Loss_D_fake 0.011491
[536/5000][40/535][55041] Loss_D: -0.026406 Loss_G: 0.008457 Loss_D_real: -0.009182 Loss_D_fake 0.017223
[536/5000][45/535][55042] Loss_D: -0.024776 Loss_G: 0.029181 Loss_D_real: -0.034091 Loss_D_fake -0.009314
[536/5000][50/535][55043] Loss_D: -0.026107 Loss_G: 0.015401 Loss_D_real: -0.018765 Loss_D_fake 0.007341
[536/5000][55/535][55044] Loss_D: -0.026718 Loss_G: -0.011446 Loss_D_real: -0.005154 Loss_D_fake 0.021564
[536/5000][60/535][55045] Loss_D: -0.023617 Loss_G: 0.037375 Loss_D_real: -0.030809 Loss_D_fake -0.007192
[536/5000][65/535][55046] Loss_D: -0.025893 Loss_G: 0.032645 Loss_D_real: -0.029858 Loss_D_fake -0.003966
[536/5000][70/535][55047] Loss_D: -0.025909 Loss_G: -0.005191 Loss_D_real: -0.011612 Loss_D_fake 0.014297
[536/5000][75/535][55048] Loss_D: -0.026738 Loss_G: 0.010225 Loss_D_real: -0.019769 Loss_D_fake 0.006969
[536/5000][80/535][55049] Loss_D: -0.026626 Loss_G: -0.006545 Loss_D_real: -0.007747 Loss_D_fake 0.018879
[536/5000][85/535][55050] Loss_D: -0.026455 Loss_G: 0.016685 Loss_D_real: -0.014644 Loss_D_fake 0.011811
[536/5000][90/535][55051] Loss_D: -0.027221 Loss_G: 0.011068 Loss_D_real: -0.017535 Loss_D_fake 0.009687
[536/5000][95/535][55052] Loss_D: -0.025917 Loss_G: -0.010693 Loss_D_real: 0.010359 Loss_D_fake 0.036276
[536/5000][100/535][55053] Loss_D: -0.025569 Loss_G: 0.010482 Loss_D_real: -0.026230 Loss_D_fake -0.000662
[536/5000][105/535][55054] Loss_D: -0.026290 Loss_G: 0.017491 Loss_D_real: -0.018740 Loss_D_fake 0.007550
[536/5000][110/535][55055] Loss_D: -0.026047 Loss_G: 0.007463 Loss_D_real: -0.017555 Loss_D_fake 0.008491
[536/5000][115/535][55056] Loss_D: -0.024501 Loss_G: 0.040848 Loss_D_real: -0.031921 Loss_D_fake -0.007420
[536/5000][120/535][55057] Loss_D: -0.025638 Loss_G: 0.005476 Loss_D_real: -0.010421 Loss_D_fake 0.015217
[536/5000][125/535][55058] Loss_D: -0.027485 Loss_G: -0.000507 Loss_D_real: -0.017417 Loss_D_fake 0.010068
[536/5000][130/535][55059] Loss_D: -0.026062 Loss_G: 0.000111 Loss_D_real: -0.004073 Loss_D_fake 0.021989
[536/5000][135/535][55060] Loss_D: -0.024926 Loss_G: 0.020922 Loss_D_real: -0.020074 Loss_D_fake 0.004851
[536/5000][140/535][55061] Loss_D: -0.026438 Loss_G: 0.012421 Loss_D_real: -0.027633 Loss_D_fake -0.001195
[536/5000][145/535][55062] Loss_D: -0.025424 Loss_G: 0.039418 Loss_D_real: -0.023325 Loss_D_fake 0.002100
[536/5000][150/535][55063] Loss_D: -0.025913 Loss_G: 0.002919 Loss_D_real: -0.020416 Loss_D_fake 0.005497
[536/5000][155/535][55064] Loss_D: -0.026655 Loss_G: 0.010230 Loss_D_real: -0.010291 Loss_D_fake 0.016364
[536/5000][160/535][55065] Loss_D: -0.025365 Loss_G: 0.031365 Loss_D_real: -0.034900 Loss_D_fake -0.009535
[536/5000][165/535][55066] Loss_D: -0.025557 Loss_G: 0.010774 Loss_D_real: -0.006248 Loss_D_fake 0.019309
[536/5000][170/535][55067] Loss_D: -0.024144 Loss_G: 0.039968 Loss_D_real: -0.026916 Loss_D_fake -0.002772
[536/5000][175/535][55068] Loss_D: -0.026599 Loss_G: 0.012692 Loss_D_real: -0.017869 Loss_D_fake 0.008730
[536/5000][180/535][55069] Loss_D: -0.023953 Loss_G: 0.023962 Loss_D_real: -0.030881 Loss_D_fake -0.006929
[536/5000][185/535][55070] Loss_D: -0.025470 Loss_G: 0.011322 Loss_D_real: -0.011026 Loss_D_fake 0.014443
[536/5000][190/535][55071] Loss_D: -0.025548 Loss_G: -0.003380 Loss_D_real: -0.007334 Loss_D_fake 0.018214
[536/5000][195/535][55072] Loss_D: -0.025347 Loss_G: 0.001989 Loss_D_real: -0.002791 Loss_D_fake 0.022556
[536/5000][200/535][55073] Loss_D: -0.026400 Loss_G: 0.033273 Loss_D_real: -0.032424 Loss_D_fake -0.006024
[536/5000][205/535][55074] Loss_D: -0.026165 Loss_G: 0.014267 Loss_D_real: -0.020378 Loss_D_fake 0.005787
[536/5000][210/535][55075] Loss_D: -0.026695 Loss_G: 0.005605 Loss_D_real: -0.011875 Loss_D_fake 0.014820
[536/5000][215/535][55076] Loss_D: -0.025738 Loss_G: 0.031115 Loss_D_real: -0.025692 Loss_D_fake 0.000047
[536/5000][220/535][55077] Loss_D: -0.025370 Loss_G: 0.002568 Loss_D_real: -0.008394 Loss_D_fake 0.016976
[536/5000][225/535][55078] Loss_D: -0.027036 Loss_G: 0.030781 Loss_D_real: -0.031085 Loss_D_fake -0.004049
[536/5000][230/535][55079] Loss_D: -0.026163 Loss_G: 0.025112 Loss_D_real: -0.017793 Loss_D_fake 0.008370
[536/5000][235/535][55080] Loss_D: -0.027561 Loss_G: 0.009268 Loss_D_real: -0.007428 Loss_D_fake 0.020134
[536/5000][240/535][55081] Loss_D: -0.025215 Loss_G: 0.011058 Loss_D_real: -0.016807 Loss_D_fake 0.008408
[536/5000][245/535][55082] Loss_D: -0.025186 Loss_G: 0.001193 Loss_D_real: -0.004546 Loss_D_fake 0.020640
[536/5000][250/535][55083] Loss_D: -0.026295 Loss_G: 0.019901 Loss_D_real: -0.020673 Loss_D_fake 0.005623
[536/5000][255/535][55084] Loss_D: -0.026140 Loss_G: 0.022329 Loss_D_real: -0.020581 Loss_D_fake 0.005559
[536/5000][260/535][55085] Loss_D: -0.026581 Loss_G: 0.005812 Loss_D_real: -0.020983 Loss_D_fake 0.005598
[536/5000][265/535][55086] Loss_D: -0.026003 Loss_G: 0.023435 Loss_D_real: -0.028117 Loss_D_fake -0.002114
[536/5000][270/535][55087] Loss_D: -0.025565 Loss_G: 0.030761 Loss_D_real: -0.024778 Loss_D_fake 0.000787
[536/5000][275/535][55088] Loss_D: -0.026637 Loss_G: 0.022968 Loss_D_real: -0.017494 Loss_D_fake 0.009143
[536/5000][280/535][55089] Loss_D: -0.026363 Loss_G: 0.012042 Loss_D_real: -0.015310 Loss_D_fake 0.011052
[536/5000][285/535][55090] Loss_D: -0.025987 Loss_G: 0.002625 Loss_D_real: -0.000121 Loss_D_fake 0.025866
[536/5000][290/535][55091] Loss_D: -0.026307 Loss_G: 0.023597 Loss_D_real: -0.027889 Loss_D_fake -0.001581
[536/5000][295/535][55092] Loss_D: -0.025632 Loss_G: 0.037157 Loss_D_real: -0.030423 Loss_D_fake -0.004791
[536/5000][300/535][55093] Loss_D: -0.025621 Loss_G: 0.006472 Loss_D_real: -0.007784 Loss_D_fake 0.017837
[536/5000][305/535][55094] Loss_D: -0.028236 Loss_G: 0.006917 Loss_D_real: -0.018140 Loss_D_fake 0.010097
[536/5000][310/535][55095] Loss_D: -0.025499 Loss_G: 0.016846 Loss_D_real: -0.016020 Loss_D_fake 0.009479
[536/5000][315/535][55096] Loss_D: -0.025737 Loss_G: 0.016079 Loss_D_real: -0.018495 Loss_D_fake 0.007242
[536/5000][320/535][55097] Loss_D: -0.025663 Loss_G: -0.002349 Loss_D_real: 0.001241 Loss_D_fake 0.026904
[536/5000][325/535][55098] Loss_D: -0.025682 Loss_G: 0.016309 Loss_D_real: -0.019085 Loss_D_fake 0.006597
[536/5000][330/535][55099] Loss_D: -0.027057 Loss_G: 0.007917 Loss_D_real: -0.008381 Loss_D_fake 0.018676
[536/5000][335/535][55100] Loss_D: -0.025515 Loss_G: -0.014858 Loss_D_real: 0.003724 Loss_D_fake 0.029239
[536/5000][340/535][55101] Loss_D: -0.025940 Loss_G: 0.020835 Loss_D_real: -0.018430 Loss_D_fake 0.007511
[536/5000][345/535][55102] Loss_D: -0.026473 Loss_G: -0.008519 Loss_D_real: 0.003983 Loss_D_fake 0.030456
[536/5000][350/535][55103] Loss_D: -0.026604 Loss_G: 0.029129 Loss_D_real: -0.034724 Loss_D_fake -0.008120
[536/5000][355/535][55104] Loss_D: -0.025370 Loss_G: 0.023249 Loss_D_real: -0.026429 Loss_D_fake -0.001059
[536/5000][360/535][55105] Loss_D: -0.027320 Loss_G: 0.011638 Loss_D_real: -0.005838 Loss_D_fake 0.021481
[536/5000][365/535][55106] Loss_D: -0.025388 Loss_G: 0.019481 Loss_D_real: -0.012393 Loss_D_fake 0.012996
[536/5000][370/535][55107] Loss_D: -0.026122 Loss_G: 0.005449 Loss_D_real: -0.015086 Loss_D_fake 0.011036
[536/5000][375/535][55108] Loss_D: -0.026693 Loss_G: 0.012095 Loss_D_real: -0.019482 Loss_D_fake 0.007210
[536/5000][380/535][55109] Loss_D: -0.025729 Loss_G: 0.024034 Loss_D_real: -0.031734 Loss_D_fake -0.006005
[536/5000][385/535][55110] Loss_D: -0.027530 Loss_G: 0.020240 Loss_D_real: -0.015885 Loss_D_fake 0.011645
[536/5000][390/535][55111] Loss_D: -0.025985 Loss_G: 0.026098 Loss_D_real: -0.025712 Loss_D_fake 0.000273
[536/5000][395/535][55112] Loss_D: -0.025580 Loss_G: 0.021141 Loss_D_real: -0.023766 Loss_D_fake 0.001814
[536/5000][400/535][55113] Loss_D: -0.026504 Loss_G: 0.023254 Loss_D_real: -0.013996 Loss_D_fake 0.012508
[536/5000][405/535][55114] Loss_D: -0.026301 Loss_G: -0.000963 Loss_D_real: -0.012558 Loss_D_fake 0.013743
[536/5000][410/535][55115] Loss_D: -0.024853 Loss_G: 0.036001 Loss_D_real: -0.040939 Loss_D_fake -0.016086
[536/5000][415/535][55116] Loss_D: -0.026131 Loss_G: 0.025762 Loss_D_real: -0.020107 Loss_D_fake 0.006024
[536/5000][420/535][55117] Loss_D: -0.025303 Loss_G: 0.021440 Loss_D_real: -0.017592 Loss_D_fake 0.007710
[536/5000][425/535][55118] Loss_D: -0.026244 Loss_G: 0.005929 Loss_D_real: -0.015360 Loss_D_fake 0.010884
[536/5000][430/535][55119] Loss_D: -0.025435 Loss_G: 0.020365 Loss_D_real: -0.034360 Loss_D_fake -0.008925
[536/5000][435/535][55120] Loss_D: -0.025649 Loss_G: 0.022237 Loss_D_real: -0.031743 Loss_D_fake -0.006093
[536/5000][440/535][55121] Loss_D: -0.026774 Loss_G: -0.005718 Loss_D_real: -0.004735 Loss_D_fake 0.022040
[536/5000][445/535][55122] Loss_D: -0.027111 Loss_G: 0.015495 Loss_D_real: -0.009396 Loss_D_fake 0.017715
[536/5000][450/535][55123] Loss_D: -0.024522 Loss_G: 0.009682 Loss_D_real: -0.015001 Loss_D_fake 0.009520
[536/5000][455/535][55124] Loss_D: -0.025100 Loss_G: -0.011459 Loss_D_real: 0.006070 Loss_D_fake 0.031171
[536/5000][460/535][55125] Loss_D: -0.025120 Loss_G: 0.025547 Loss_D_real: -0.022991 Loss_D_fake 0.002129
[536/5000][465/535][55126] Loss_D: -0.025741 Loss_G: 0.020507 Loss_D_real: -0.016435 Loss_D_fake 0.009307
[536/5000][470/535][55127] Loss_D: -0.026684 Loss_G: 0.015127 Loss_D_real: -0.013612 Loss_D_fake 0.013073
[536/5000][475/535][55128] Loss_D: -0.027086 Loss_G: 0.012274 Loss_D_real: -0.012720 Loss_D_fake 0.014365
[536/5000][480/535][55129] Loss_D: -0.026089 Loss_G: -0.000814 Loss_D_real: -0.007819 Loss_D_fake 0.018269
[536/5000][485/535][55130] Loss_D: -0.024662 Loss_G: 0.006470 Loss_D_real: -0.009290 Loss_D_fake 0.015373
[536/5000][490/535][55131] Loss_D: -0.026023 Loss_G: 0.019379 Loss_D_real: -0.029597 Loss_D_fake -0.003574
[536/5000][495/535][55132] Loss_D: -0.024443 Loss_G: 0.020075 Loss_D_real: -0.028711 Loss_D_fake -0.004268
[536/5000][500/535][55133] Loss_D: -0.025863 Loss_G: -0.001221 Loss_D_real: -0.010785 Loss_D_fake 0.015078
[536/5000][505/535][55134] Loss_D: -0.025167 Loss_G: 0.020418 Loss_D_real: -0.037702 Loss_D_fake -0.012535
[536/5000][510/535][55135] Loss_D: -0.024265 Loss_G: 0.029811 Loss_D_real: -0.037415 Loss_D_fake -0.013150
[536/5000][515/535][55136] Loss_D: -0.025491 Loss_G: -0.001423 Loss_D_real: -0.010708 Loss_D_fake 0.014783
[536/5000][520/535][55137] Loss_D: -0.026813 Loss_G: 0.030602 Loss_D_real: -0.025418 Loss_D_fake 0.001395
[536/5000][525/535][55138] Loss_D: -0.025736 Loss_G: -0.013105 Loss_D_real: -0.001979 Loss_D_fake 0.023757
[536/5000][530/535][55139] Loss_D: -0.024716 Loss_G: 0.013934 Loss_D_real: -0.018982 Loss_D_fake 0.005734
[536/5000][535/535][55140] Loss_D: -0.026563 Loss_G: 0.017072 Loss_D_real: -0.004419 Loss_D_fake 0.022145
[537/5000][5/535][55141] Loss_D: -0.026391 Loss_G: 0.020021 Loss_D_real: -0.020958 Loss_D_fake 0.005433
[537/5000][10/535][55142] Loss_D: -0.026660 Loss_G: 0.010851 Loss_D_real: -0.007730 Loss_D_fake 0.018930
[537/5000][15/535][55143] Loss_D: -0.025023 Loss_G: -0.001372 Loss_D_real: 0.000668 Loss_D_fake 0.025691
[537/5000][20/535][55144] Loss_D: -0.024396 Loss_G: 0.014740 Loss_D_real: -0.016473 Loss_D_fake 0.007923
[537/5000][25/535][55145] Loss_D: -0.025114 Loss_G: 0.010802 Loss_D_real: -0.025716 Loss_D_fake -0.000602
[537/5000][30/535][55146] Loss_D: -0.027316 Loss_G: 0.029730 Loss_D_real: -0.022977 Loss_D_fake 0.004339
[537/5000][35/535][55147] Loss_D: -0.027555 Loss_G: -0.004013 Loss_D_real: -0.006566 Loss_D_fake 0.020988
[537/5000][40/535][55148] Loss_D: -0.025457 Loss_G: 0.029939 Loss_D_real: -0.033106 Loss_D_fake -0.007650
[537/5000][45/535][55149] Loss_D: -0.026550 Loss_G: 0.000295 Loss_D_real: -0.004261 Loss_D_fake 0.022289
[537/5000][50/535][55150] Loss_D: -0.025272 Loss_G: 0.034300 Loss_D_real: -0.027076 Loss_D_fake -0.001803
[537/5000][55/535][55151] Loss_D: -0.025525 Loss_G: 0.023312 Loss_D_real: -0.008972 Loss_D_fake 0.016553
[537/5000][60/535][55152] Loss_D: -0.025156 Loss_G: 0.006843 Loss_D_real: -0.016864 Loss_D_fake 0.008291
[537/5000][65/535][55153] Loss_D: -0.025089 Loss_G: 0.028867 Loss_D_real: -0.028773 Loss_D_fake -0.003684
[537/5000][70/535][55154] Loss_D: -0.025622 Loss_G: -0.001430 Loss_D_real: -0.011851 Loss_D_fake 0.013772
[537/5000][75/535][55155] Loss_D: -0.023959 Loss_G: -0.011431 Loss_D_real: 0.004299 Loss_D_fake 0.028258
[537/5000][80/535][55156] Loss_D: -0.026261 Loss_G: 0.014451 Loss_D_real: -0.020504 Loss_D_fake 0.005756
[537/5000][85/535][55157] Loss_D: -0.024790 Loss_G: -0.006069 Loss_D_real: -0.000943 Loss_D_fake 0.023847
[537/5000][90/535][55158] Loss_D: -0.025975 Loss_G: 0.005768 Loss_D_real: -0.016625 Loss_D_fake 0.009350
[537/5000][95/535][55159] Loss_D: -0.027061 Loss_G: 0.003951 Loss_D_real: -0.017292 Loss_D_fake 0.009769
[537/5000][100/535][55160] Loss_D: -0.025199 Loss_G: 0.008605 Loss_D_real: -0.014129 Loss_D_fake 0.011069
[537/5000][105/535][55161] Loss_D: -0.026408 Loss_G: 0.015819 Loss_D_real: -0.012714 Loss_D_fake 0.013694
[537/5000][110/535][55162] Loss_D: -0.026927 Loss_G: 0.014743 Loss_D_real: -0.014075 Loss_D_fake 0.012852
[537/5000][115/535][55163] Loss_D: -0.026805 Loss_G: 0.019995 Loss_D_real: -0.029464 Loss_D_fake -0.002659
[537/5000][120/535][55164] Loss_D: -0.027627 Loss_G: 0.006573 Loss_D_real: -0.006975 Loss_D_fake 0.020652
[537/5000][125/535][55165] Loss_D: -0.026231 Loss_G: 0.027122 Loss_D_real: -0.016391 Loss_D_fake 0.009841
[537/5000][130/535][55166] Loss_D: -0.026103 Loss_G: 0.026702 Loss_D_real: -0.027993 Loss_D_fake -0.001890
[537/5000][135/535][55167] Loss_D: -0.024293 Loss_G: -0.003350 Loss_D_real: 0.010379 Loss_D_fake 0.034673
[537/5000][140/535][55168] Loss_D: -0.026424 Loss_G: 0.009011 Loss_D_real: -0.016804 Loss_D_fake 0.009620
[537/5000][145/535][55169] Loss_D: -0.027311 Loss_G: 0.025888 Loss_D_real: -0.031028 Loss_D_fake -0.003717
[537/5000][150/535][55170] Loss_D: -0.026522 Loss_G: 0.016895 Loss_D_real: -0.020821 Loss_D_fake 0.005701
[537/5000][155/535][55171] Loss_D: -0.026633 Loss_G: 0.013529 Loss_D_real: -0.017349 Loss_D_fake 0.009284
[537/5000][160/535][55172] Loss_D: -0.025386 Loss_G: 0.009217 Loss_D_real: -0.013411 Loss_D_fake 0.011974
[537/5000][165/535][55173] Loss_D: -0.027746 Loss_G: 0.020068 Loss_D_real: -0.019958 Loss_D_fake 0.007788
[537/5000][170/535][55174] Loss_D: -0.025370 Loss_G: -0.005215 Loss_D_real: -0.003899 Loss_D_fake 0.021471
[537/5000][175/535][55175] Loss_D: -0.025068 Loss_G: 0.024529 Loss_D_real: -0.022837 Loss_D_fake 0.002231
[537/5000][180/535][55176] Loss_D: -0.027094 Loss_G: 0.008554 Loss_D_real: -0.018490 Loss_D_fake 0.008604
[537/5000][185/535][55177] Loss_D: -0.026158 Loss_G: 0.011512 Loss_D_real: -0.015735 Loss_D_fake 0.010424
[537/5000][190/535][55178] Loss_D: -0.027931 Loss_G: 0.015286 Loss_D_real: -0.024264 Loss_D_fake 0.003668
[537/5000][195/535][55179] Loss_D: -0.026920 Loss_G: 0.030162 Loss_D_real: -0.024263 Loss_D_fake 0.002657
[537/5000][200/535][55180] Loss_D: -0.025965 Loss_G: -0.004255 Loss_D_real: 0.000904 Loss_D_fake 0.026869
[537/5000][205/535][55181] Loss_D: -0.025374 Loss_G: 0.016161 Loss_D_real: -0.009997 Loss_D_fake 0.015377
[537/5000][210/535][55182] Loss_D: -0.025654 Loss_G: 0.020282 Loss_D_real: -0.023296 Loss_D_fake 0.002357
[537/5000][215/535][55183] Loss_D: -0.024357 Loss_G: 0.007520 Loss_D_real: -0.018998 Loss_D_fake 0.005358
[537/5000][220/535][55184] Loss_D: -0.026040 Loss_G: 0.014085 Loss_D_real: -0.017257 Loss_D_fake 0.008783
[537/5000][225/535][55185] Loss_D: -0.024818 Loss_G: -0.014130 Loss_D_real: -0.003255 Loss_D_fake 0.021563
[537/5000][230/535][55186] Loss_D: -0.026863 Loss_G: 0.030504 Loss_D_real: -0.021584 Loss_D_fake 0.005278
[537/5000][235/535][55187] Loss_D: -0.025257 Loss_G: 0.009347 Loss_D_real: -0.023738 Loss_D_fake 0.001519
[537/5000][240/535][55188] Loss_D: -0.025325 Loss_G: 0.002615 Loss_D_real: -0.002815 Loss_D_fake 0.022510
[537/5000][245/535][55189] Loss_D: -0.026853 Loss_G: 0.009413 Loss_D_real: -0.011370 Loss_D_fake 0.015483
[537/5000][250/535][55190] Loss_D: -0.025961 Loss_G: 0.021038 Loss_D_real: -0.025530 Loss_D_fake 0.000431
[537/5000][255/535][55191] Loss_D: -0.026878 Loss_G: 0.010471 Loss_D_real: -0.011014 Loss_D_fake 0.015864
[537/5000][260/535][55192] Loss_D: -0.026213 Loss_G: -0.000763 Loss_D_real: -0.009226 Loss_D_fake 0.016987
[537/5000][265/535][55193] Loss_D: -0.025414 Loss_G: 0.022497 Loss_D_real: -0.020969 Loss_D_fake 0.004445
[537/5000][270/535][55194] Loss_D: -0.026635 Loss_G: 0.026614 Loss_D_real: -0.020739 Loss_D_fake 0.005896
[537/5000][275/535][55195] Loss_D: -0.025028 Loss_G: 0.021137 Loss_D_real: -0.029003 Loss_D_fake -0.003975
[537/5000][280/535][55196] Loss_D: -0.024501 Loss_G: 0.036813 Loss_D_real: -0.033821 Loss_D_fake -0.009320
[537/5000][285/535][55197] Loss_D: -0.025466 Loss_G: 0.012897 Loss_D_real: -0.029939 Loss_D_fake -0.004473
[537/5000][290/535][55198] Loss_D: -0.026430 Loss_G: 0.004986 Loss_D_real: -0.015772 Loss_D_fake 0.010658
[537/5000][295/535][55199] Loss_D: -0.025607 Loss_G: -0.001971 Loss_D_real: -0.006112 Loss_D_fake 0.019495
[537/5000][300/535][55200] Loss_D: -0.025995 Loss_G: 0.018287 Loss_D_real: -0.013109 Loss_D_fake 0.012885
[537/5000][305/535][55201] Loss_D: -0.024387 Loss_G: -0.014155 Loss_D_real: 0.005860 Loss_D_fake 0.030246
[537/5000][310/535][55202] Loss_D: -0.025032 Loss_G: 0.027045 Loss_D_real: -0.036961 Loss_D_fake -0.011929
[537/5000][315/535][55203] Loss_D: -0.025749 Loss_G: -0.015419 Loss_D_real: 0.006317 Loss_D_fake 0.032066
[537/5000][320/535][55204] Loss_D: -0.025513 Loss_G: 0.005546 Loss_D_real: -0.009804 Loss_D_fake 0.015709
[537/5000][325/535][55205] Loss_D: -0.025465 Loss_G: 0.024078 Loss_D_real: -0.035499 Loss_D_fake -0.010035
[537/5000][330/535][55206] Loss_D: -0.026375 Loss_G: 0.001879 Loss_D_real: -0.009223 Loss_D_fake 0.017152
[537/5000][335/535][55207] Loss_D: -0.028452 Loss_G: 0.009530 Loss_D_real: -0.007185 Loss_D_fake 0.021267
[537/5000][340/535][55208] Loss_D: -0.025866 Loss_G: 0.020418 Loss_D_real: -0.018427 Loss_D_fake 0.007439
[537/5000][345/535][55209] Loss_D: -0.025078 Loss_G: -0.004984 Loss_D_real: 0.000156 Loss_D_fake 0.025234
[537/5000][350/535][55210] Loss_D: -0.026519 Loss_G: 0.002145 Loss_D_real: -0.006708 Loss_D_fake 0.019811
[537/5000][355/535][55211] Loss_D: -0.025608 Loss_G: 0.016056 Loss_D_real: -0.017515 Loss_D_fake 0.008093
[537/5000][360/535][55212] Loss_D: -0.024881 Loss_G: 0.020469 Loss_D_real: -0.028316 Loss_D_fake -0.003436
[537/5000][365/535][55213] Loss_D: -0.026293 Loss_G: 0.014111 Loss_D_real: -0.015698 Loss_D_fake 0.010595
[537/5000][370/535][55214] Loss_D: -0.026059 Loss_G: 0.016147 Loss_D_real: -0.014957 Loss_D_fake 0.011101
[537/5000][375/535][55215] Loss_D: -0.024900 Loss_G: 0.022421 Loss_D_real: -0.022094 Loss_D_fake 0.002805
[537/5000][380/535][55216] Loss_D: -0.026582 Loss_G: -0.012733 Loss_D_real: -0.003952 Loss_D_fake 0.022630
[537/5000][385/535][55217] Loss_D: -0.025994 Loss_G: 0.014786 Loss_D_real: -0.014135 Loss_D_fake 0.011859
[537/5000][390/535][55218] Loss_D: -0.025874 Loss_G: 0.022706 Loss_D_real: -0.023404 Loss_D_fake 0.002469
[537/5000][395/535][55219] Loss_D: -0.025657 Loss_G: 0.027335 Loss_D_real: -0.024184 Loss_D_fake 0.001472
[537/5000][400/535][55220] Loss_D: -0.026902 Loss_G: 0.015908 Loss_D_real: -0.023842 Loss_D_fake 0.003060
[537/5000][405/535][55221] Loss_D: -0.026775 Loss_G: 0.039637 Loss_D_real: -0.029530 Loss_D_fake -0.002755
[537/5000][410/535][55222] Loss_D: -0.025652 Loss_G: 0.004353 Loss_D_real: -0.010480 Loss_D_fake 0.015172
[537/5000][415/535][55223] Loss_D: -0.026762 Loss_G: 0.028532 Loss_D_real: -0.038824 Loss_D_fake -0.012062
[537/5000][420/535][55224] Loss_D: -0.026842 Loss_G: 0.020899 Loss_D_real: -0.026290 Loss_D_fake 0.000552
[537/5000][425/535][55225] Loss_D: -0.027439 Loss_G: 0.029000 Loss_D_real: -0.042493 Loss_D_fake -0.015055
[537/5000][430/535][55226] Loss_D: -0.027691 Loss_G: -0.002143 Loss_D_real: -0.012853 Loss_D_fake 0.014837
[537/5000][435/535][55227] Loss_D: -0.025933 Loss_G: 0.019576 Loss_D_real: -0.029346 Loss_D_fake -0.003413
[537/5000][440/535][55228] Loss_D: -0.025810 Loss_G: 0.019500 Loss_D_real: -0.023290 Loss_D_fake 0.002520
[537/5000][445/535][55229] Loss_D: -0.026565 Loss_G: -0.004362 Loss_D_real: 0.001913 Loss_D_fake 0.028478
[537/5000][450/535][55230] Loss_D: -0.025819 Loss_G: 0.018741 Loss_D_real: -0.016970 Loss_D_fake 0.008849
[537/5000][455/535][55231] Loss_D: -0.026520 Loss_G: 0.012860 Loss_D_real: -0.020669 Loss_D_fake 0.005851
[537/5000][460/535][55232] Loss_D: -0.025898 Loss_G: 0.012126 Loss_D_real: -0.018716 Loss_D_fake 0.007182
[537/5000][465/535][55233] Loss_D: -0.025670 Loss_G: 0.024134 Loss_D_real: -0.029886 Loss_D_fake -0.004217
[537/5000][470/535][55234] Loss_D: -0.025555 Loss_G: 0.004992 Loss_D_real: -0.013644 Loss_D_fake 0.011911
[537/5000][475/535][55235] Loss_D: -0.025554 Loss_G: -0.003194 Loss_D_real: 0.000145 Loss_D_fake 0.025699
[537/5000][480/535][55236] Loss_D: -0.025818 Loss_G: 0.013432 Loss_D_real: -0.010598 Loss_D_fake 0.015221
[537/5000][485/535][55237] Loss_D: -0.023765 Loss_G: 0.013510 Loss_D_real: -0.018423 Loss_D_fake 0.005342
[537/5000][490/535][55238] Loss_D: -0.027290 Loss_G: 0.020280 Loss_D_real: -0.014947 Loss_D_fake 0.012343
[537/5000][495/535][55239] Loss_D: -0.027531 Loss_G: 0.008842 Loss_D_real: -0.005416 Loss_D_fake 0.022115
[537/5000][500/535][55240] Loss_D: -0.026227 Loss_G: 0.024869 Loss_D_real: -0.023619 Loss_D_fake 0.002608
[537/5000][505/535][55241] Loss_D: -0.024611 Loss_G: 0.026175 Loss_D_real: -0.031921 Loss_D_fake -0.007309
[537/5000][510/535][55242] Loss_D: -0.026161 Loss_G: -0.000368 Loss_D_real: -0.001925 Loss_D_fake 0.024237
[537/5000][515/535][55243] Loss_D: -0.025607 Loss_G: 0.017516 Loss_D_real: -0.024330 Loss_D_fake 0.001277
[537/5000][520/535][55244] Loss_D: -0.027216 Loss_G: 0.011420 Loss_D_real: -0.022544 Loss_D_fake 0.004672
[537/5000][525/535][55245] Loss_D: -0.024970 Loss_G: 0.038128 Loss_D_real: -0.035292 Loss_D_fake -0.010322
[537/5000][530/535][55246] Loss_D: -0.027145 Loss_G: 0.008830 Loss_D_real: -0.015941 Loss_D_fake 0.011204
[537/5000][535/535][55247] Loss_D: -0.023201 Loss_G: 0.044072 Loss_D_real: -0.026865 Loss_D_fake -0.003664
[538/5000][5/535][55248] Loss_D: -0.026750 Loss_G: 0.012013 Loss_D_real: -0.019081 Loss_D_fake 0.007670
[538/5000][10/535][55249] Loss_D: -0.026724 Loss_G: 0.007488 Loss_D_real: -0.010589 Loss_D_fake 0.016135
[538/5000][15/535][55250] Loss_D: -0.026029 Loss_G: 0.025583 Loss_D_real: -0.028901 Loss_D_fake -0.002872
[538/5000][20/535][55251] Loss_D: -0.025150 Loss_G: 0.003296 Loss_D_real: -0.008472 Loss_D_fake 0.016678
[538/5000][25/535][55252] Loss_D: -0.025844 Loss_G: 0.014102 Loss_D_real: -0.019154 Loss_D_fake 0.006691
[538/5000][30/535][55253] Loss_D: -0.024347 Loss_G: -0.002038 Loss_D_real: -0.003046 Loss_D_fake 0.021301
[538/5000][35/535][55254] Loss_D: -0.025707 Loss_G: 0.006499 Loss_D_real: -0.012329 Loss_D_fake 0.013377
[538/5000][40/535][55255] Loss_D: -0.025758 Loss_G: 0.024429 Loss_D_real: -0.030065 Loss_D_fake -0.004307
[538/5000][45/535][55256] Loss_D: -0.024588 Loss_G: -0.000320 Loss_D_real: -0.010810 Loss_D_fake 0.013778
[538/5000][50/535][55257] Loss_D: -0.025002 Loss_G: 0.002021 Loss_D_real: -0.021628 Loss_D_fake 0.003374
[538/5000][55/535][55258] Loss_D: -0.026537 Loss_G: 0.009141 Loss_D_real: -0.013677 Loss_D_fake 0.012860
[538/5000][60/535][55259] Loss_D: -0.026498 Loss_G: 0.024859 Loss_D_real: -0.033235 Loss_D_fake -0.006736
[538/5000][65/535][55260] Loss_D: -0.026175 Loss_G: 0.023861 Loss_D_real: -0.033983 Loss_D_fake -0.007808
[538/5000][70/535][55261] Loss_D: -0.025336 Loss_G: -0.000265 Loss_D_real: -0.004884 Loss_D_fake 0.020452
[538/5000][75/535][55262] Loss_D: -0.025278 Loss_G: 0.011077 Loss_D_real: -0.015076 Loss_D_fake 0.010202
[538/5000][80/535][55263] Loss_D: -0.025508 Loss_G: 0.013174 Loss_D_real: -0.022157 Loss_D_fake 0.003351
[538/5000][85/535][55264] Loss_D: -0.025685 Loss_G: 0.023685 Loss_D_real: -0.020602 Loss_D_fake 0.005084
[538/5000][90/535][55265] Loss_D: -0.025738 Loss_G: 0.005822 Loss_D_real: -0.009435 Loss_D_fake 0.016303
[538/5000][95/535][55266] Loss_D: -0.024880 Loss_G: 0.033456 Loss_D_real: -0.033419 Loss_D_fake -0.008540
[538/5000][100/535][55267] Loss_D: -0.026340 Loss_G: 0.009185 Loss_D_real: -0.018823 Loss_D_fake 0.007517
[538/5000][105/535][55268] Loss_D: -0.026441 Loss_G: 0.011631 Loss_D_real: -0.022901 Loss_D_fake 0.003539
[538/5000][110/535][55269] Loss_D: -0.026088 Loss_G: -0.017436 Loss_D_real: -0.010318 Loss_D_fake 0.015770
[538/5000][115/535][55270] Loss_D: -0.025581 Loss_G: 0.010036 Loss_D_real: -0.015673 Loss_D_fake 0.009908
[538/5000][120/535][55271] Loss_D: -0.025551 Loss_G: 0.021028 Loss_D_real: -0.021777 Loss_D_fake 0.003774
[538/5000][125/535][55272] Loss_D: -0.026779 Loss_G: 0.015918 Loss_D_real: -0.013701 Loss_D_fake 0.013078
[538/5000][130/535][55273] Loss_D: -0.027046 Loss_G: -0.002138 Loss_D_real: -0.004793 Loss_D_fake 0.022253
[538/5000][135/535][55274] Loss_D: -0.026180 Loss_G: 0.026986 Loss_D_real: -0.028343 Loss_D_fake -0.002163
[538/5000][140/535][55275] Loss_D: -0.025166 Loss_G: 0.027339 Loss_D_real: -0.032551 Loss_D_fake -0.007385
[538/5000][145/535][55276] Loss_D: -0.025641 Loss_G: -0.009965 Loss_D_real: 0.001702 Loss_D_fake 0.027343
[538/5000][150/535][55277] Loss_D: -0.026361 Loss_G: 0.017890 Loss_D_real: -0.018123 Loss_D_fake 0.008237
[538/5000][155/535][55278] Loss_D: -0.025476 Loss_G: -0.007595 Loss_D_real: -0.003048 Loss_D_fake 0.022428
[538/5000][160/535][55279] Loss_D: -0.026710 Loss_G: 0.022044 Loss_D_real: -0.020895 Loss_D_fake 0.005815
[538/5000][165/535][55280] Loss_D: -0.026595 Loss_G: -0.005639 Loss_D_real: -0.011745 Loss_D_fake 0.014849
[538/5000][170/535][55281] Loss_D: -0.026064 Loss_G: 0.006646 Loss_D_real: -0.015857 Loss_D_fake 0.010206
[538/5000][175/535][55282] Loss_D: -0.026254 Loss_G: 0.020125 Loss_D_real: -0.023853 Loss_D_fake 0.002401
[538/5000][180/535][55283] Loss_D: -0.026623 Loss_G: 0.019665 Loss_D_real: -0.019651 Loss_D_fake 0.006972
[538/5000][185/535][55284] Loss_D: -0.024863 Loss_G: 0.007701 Loss_D_real: -0.013055 Loss_D_fake 0.011807
[538/5000][190/535][55285] Loss_D: -0.026503 Loss_G: 0.003802 Loss_D_real: -0.008469 Loss_D_fake 0.018034
[538/5000][195/535][55286] Loss_D: -0.026953 Loss_G: 0.023334 Loss_D_real: -0.028059 Loss_D_fake -0.001107
[538/5000][200/535][55287] Loss_D: -0.026865 Loss_G: 0.013647 Loss_D_real: -0.016698 Loss_D_fake 0.010167
[538/5000][205/535][55288] Loss_D: -0.026065 Loss_G: 0.011024 Loss_D_real: -0.023454 Loss_D_fake 0.002611
[538/5000][210/535][55289] Loss_D: -0.026409 Loss_G: 0.002053 Loss_D_real: -0.007891 Loss_D_fake 0.018518
[538/5000][215/535][55290] Loss_D: -0.025928 Loss_G: 0.031167 Loss_D_real: -0.028408 Loss_D_fake -0.002479
[538/5000][220/535][55291] Loss_D: -0.026523 Loss_G: -0.004742 Loss_D_real: -0.006295 Loss_D_fake 0.020228
[538/5000][225/535][55292] Loss_D: -0.025407 Loss_G: 0.021538 Loss_D_real: -0.020185 Loss_D_fake 0.005222
[538/5000][230/535][55293] Loss_D: -0.025247 Loss_G: 0.011233 Loss_D_real: -0.011552 Loss_D_fake 0.013694
[538/5000][235/535][55294] Loss_D: -0.025449 Loss_G: 0.005080 Loss_D_real: -0.008815 Loss_D_fake 0.016635
[538/5000][240/535][55295] Loss_D: -0.025465 Loss_G: 0.029419 Loss_D_real: -0.029621 Loss_D_fake -0.004156
[538/5000][245/535][55296] Loss_D: -0.025233 Loss_G: -0.003342 Loss_D_real: -0.008766 Loss_D_fake 0.016467
[538/5000][250/535][55297] Loss_D: -0.026211 Loss_G: -0.003548 Loss_D_real: -0.015727 Loss_D_fake 0.010484
[538/5000][255/535][55298] Loss_D: -0.024368 Loss_G: 0.028541 Loss_D_real: -0.037749 Loss_D_fake -0.013382
[538/5000][260/535][55299] Loss_D: -0.024999 Loss_G: 0.012609 Loss_D_real: -0.013611 Loss_D_fake 0.011388
[538/5000][265/535][55300] Loss_D: -0.024012 Loss_G: 0.030190 Loss_D_real: -0.037685 Loss_D_fake -0.013673
[538/5000][270/535][55301] Loss_D: -0.025726 Loss_G: 0.010616 Loss_D_real: -0.016708 Loss_D_fake 0.009018
[538/5000][275/535][55302] Loss_D: -0.024628 Loss_G: 0.033037 Loss_D_real: -0.032691 Loss_D_fake -0.008063
[538/5000][280/535][55303] Loss_D: -0.025590 Loss_G: -0.001433 Loss_D_real: -0.006112 Loss_D_fake 0.019478
[538/5000][285/535][55304] Loss_D: -0.025627 Loss_G: 0.013700 Loss_D_real: -0.021560 Loss_D_fake 0.004067
[538/5000][290/535][55305] Loss_D: -0.024796 Loss_G: 0.029809 Loss_D_real: -0.027836 Loss_D_fake -0.003040
[538/5000][295/535][55306] Loss_D: -0.025328 Loss_G: 0.034831 Loss_D_real: -0.035117 Loss_D_fake -0.009790
[538/5000][300/535][55307] Loss_D: -0.023653 Loss_G: 0.028895 Loss_D_real: -0.031846 Loss_D_fake -0.008193
[538/5000][305/535][55308] Loss_D: -0.024490 Loss_G: -0.021078 Loss_D_real: 0.008511 Loss_D_fake 0.033001
[538/5000][310/535][55309] Loss_D: -0.025427 Loss_G: 0.013516 Loss_D_real: -0.022936 Loss_D_fake 0.002492
[538/5000][315/535][55310] Loss_D: -0.029442 Loss_G: 0.012442 Loss_D_real: -0.021208 Loss_D_fake 0.008234
[538/5000][320/535][55311] Loss_D: -0.027606 Loss_G: 0.004614 Loss_D_real: -0.014257 Loss_D_fake 0.013349
[538/5000][325/535][55312] Loss_D: -0.026079 Loss_G: 0.000006 Loss_D_real: -0.016223 Loss_D_fake 0.009856
[538/5000][330/535][55313] Loss_D: -0.027042 Loss_G: 0.022193 Loss_D_real: -0.014882 Loss_D_fake 0.012161
[538/5000][335/535][55314] Loss_D: -0.026458 Loss_G: 0.012173 Loss_D_real: -0.018235 Loss_D_fake 0.008223
[538/5000][340/535][55315] Loss_D: -0.027352 Loss_G: 0.000958 Loss_D_real: -0.002133 Loss_D_fake 0.025219
[538/5000][345/535][55316] Loss_D: -0.024629 Loss_G: 0.039496 Loss_D_real: -0.034178 Loss_D_fake -0.009549
[538/5000][350/535][55317] Loss_D: -0.026617 Loss_G: 0.013790 Loss_D_real: -0.018021 Loss_D_fake 0.008596
[538/5000][355/535][55318] Loss_D: -0.026319 Loss_G: -0.000509 Loss_D_real: -0.010017 Loss_D_fake 0.016303
[538/5000][360/535][55319] Loss_D: -0.027356 Loss_G: 0.009700 Loss_D_real: -0.006227 Loss_D_fake 0.021129
[538/5000][365/535][55320] Loss_D: -0.025185 Loss_G: 0.037278 Loss_D_real: -0.038080 Loss_D_fake -0.012895
[538/5000][370/535][55321] Loss_D: -0.026156 Loss_G: 0.017395 Loss_D_real: -0.024682 Loss_D_fake 0.001474
[538/5000][375/535][55322] Loss_D: -0.026942 Loss_G: 0.002048 Loss_D_real: -0.003743 Loss_D_fake 0.023199
[538/5000][380/535][55323] Loss_D: -0.024777 Loss_G: 0.029846 Loss_D_real: -0.030002 Loss_D_fake -0.005225
[538/5000][385/535][55324] Loss_D: -0.026447 Loss_G: 0.008119 Loss_D_real: -0.020336 Loss_D_fake 0.006111
[538/5000][390/535][55325] Loss_D: -0.026012 Loss_G: 0.011936 Loss_D_real: -0.025306 Loss_D_fake 0.000706
[538/5000][395/535][55326] Loss_D: -0.026248 Loss_G: 0.027093 Loss_D_real: -0.035702 Loss_D_fake -0.009453
[538/5000][400/535][55327] Loss_D: -0.027455 Loss_G: 0.020953 Loss_D_real: -0.018418 Loss_D_fake 0.009037
[538/5000][405/535][55328] Loss_D: -0.026103 Loss_G: 0.012942 Loss_D_real: -0.012504 Loss_D_fake 0.013599
[538/5000][410/535][55329] Loss_D: -0.025494 Loss_G: -0.018684 Loss_D_real: 0.002003 Loss_D_fake 0.027498
[538/5000][415/535][55330] Loss_D: -0.025353 Loss_G: 0.026345 Loss_D_real: -0.022662 Loss_D_fake 0.002690
[538/5000][420/535][55331] Loss_D: -0.026159 Loss_G: 0.004969 Loss_D_real: -0.009449 Loss_D_fake 0.016709
[538/5000][425/535][55332] Loss_D: -0.026199 Loss_G: 0.012078 Loss_D_real: -0.029894 Loss_D_fake -0.003695
[538/5000][430/535][55333] Loss_D: -0.025440 Loss_G: 0.015918 Loss_D_real: -0.023119 Loss_D_fake 0.002321
[538/5000][435/535][55334] Loss_D: -0.024169 Loss_G: 0.033500 Loss_D_real: -0.037268 Loss_D_fake -0.013100
[538/5000][440/535][55335] Loss_D: -0.024219 Loss_G: 0.031001 Loss_D_real: -0.025408 Loss_D_fake -0.001189
[538/5000][445/535][55336] Loss_D: -0.024468 Loss_G: -0.003614 Loss_D_real: -0.007584 Loss_D_fake 0.016884
[538/5000][450/535][55337] Loss_D: -0.024895 Loss_G: 0.005050 Loss_D_real: -0.018493 Loss_D_fake 0.006402
[538/5000][455/535][55338] Loss_D: -0.024398 Loss_G: -0.004023 Loss_D_real: -0.000462 Loss_D_fake 0.023936
[538/5000][460/535][55339] Loss_D: -0.026321 Loss_G: 0.020064 Loss_D_real: -0.011578 Loss_D_fake 0.014743
[538/5000][465/535][55340] Loss_D: -0.026791 Loss_G: 0.027741 Loss_D_real: -0.018529 Loss_D_fake 0.008262
[538/5000][470/535][55341] Loss_D: -0.026549 Loss_G: 0.018515 Loss_D_real: -0.018818 Loss_D_fake 0.007731
[538/5000][475/535][55342] Loss_D: -0.024217 Loss_G: 0.007614 Loss_D_real: -0.007843 Loss_D_fake 0.016374
[538/5000][480/535][55343] Loss_D: -0.026416 Loss_G: 0.010053 Loss_D_real: -0.027200 Loss_D_fake -0.000784
[538/5000][485/535][55344] Loss_D: -0.026301 Loss_G: 0.023767 Loss_D_real: -0.017027 Loss_D_fake 0.009274
[538/5000][490/535][55345] Loss_D: -0.026191 Loss_G: 0.001706 Loss_D_real: -0.007492 Loss_D_fake 0.018699
[538/5000][495/535][55346] Loss_D: -0.027405 Loss_G: 0.016861 Loss_D_real: -0.018149 Loss_D_fake 0.009256
[538/5000][500/535][55347] Loss_D: -0.025445 Loss_G: 0.032205 Loss_D_real: -0.026530 Loss_D_fake -0.001086
[538/5000][505/535][55348] Loss_D: -0.025666 Loss_G: -0.003272 Loss_D_real: -0.000375 Loss_D_fake 0.025291
[538/5000][510/535][55349] Loss_D: -0.025115 Loss_G: 0.027856 Loss_D_real: -0.032181 Loss_D_fake -0.007067
[538/5000][515/535][55350] Loss_D: -0.026040 Loss_G: 0.027437 Loss_D_real: -0.026289 Loss_D_fake -0.000249
[538/5000][520/535][55351] Loss_D: -0.027690 Loss_G: 0.012105 Loss_D_real: -0.030096 Loss_D_fake -0.002407
[538/5000][525/535][55352] Loss_D: -0.025180 Loss_G: 0.018490 Loss_D_real: -0.025071 Loss_D_fake 0.000109
[538/5000][530/535][55353] Loss_D: -0.024246 Loss_G: 0.009171 Loss_D_real: -0.016487 Loss_D_fake 0.007758
[538/5000][535/535][55354] Loss_D: -0.024255 Loss_G: -0.016372 Loss_D_real: -0.017548 Loss_D_fake 0.006708
[539/5000][5/535][55355] Loss_D: -0.025864 Loss_G: 0.012353 Loss_D_real: -0.011587 Loss_D_fake 0.014277
[539/5000][10/535][55356] Loss_D: -0.025848 Loss_G: -0.003417 Loss_D_real: -0.008955 Loss_D_fake 0.016893
[539/5000][15/535][55357] Loss_D: -0.026314 Loss_G: 0.007529 Loss_D_real: -0.010691 Loss_D_fake 0.015623
[539/5000][20/535][55358] Loss_D: -0.025157 Loss_G: 0.031674 Loss_D_real: -0.035943 Loss_D_fake -0.010786
[539/5000][25/535][55359] Loss_D: -0.025510 Loss_G: -0.005113 Loss_D_real: 0.003408 Loss_D_fake 0.028918
[539/5000][30/535][55360] Loss_D: -0.025048 Loss_G: 0.029495 Loss_D_real: -0.037440 Loss_D_fake -0.012392
[539/5000][35/535][55361] Loss_D: -0.026892 Loss_G: 0.027066 Loss_D_real: -0.019028 Loss_D_fake 0.007864
[539/5000][40/535][55362] Loss_D: -0.025994 Loss_G: 0.021345 Loss_D_real: -0.023026 Loss_D_fake 0.002968
[539/5000][45/535][55363] Loss_D: -0.026219 Loss_G: -0.010012 Loss_D_real: 0.007806 Loss_D_fake 0.034025
[539/5000][50/535][55364] Loss_D: -0.025248 Loss_G: 0.014483 Loss_D_real: -0.020486 Loss_D_fake 0.004762
[539/5000][55/535][55365] Loss_D: -0.025706 Loss_G: 0.012036 Loss_D_real: -0.024927 Loss_D_fake 0.000779
[539/5000][60/535][55366] Loss_D: -0.027773 Loss_G: 0.023835 Loss_D_real: -0.024941 Loss_D_fake 0.002832
[539/5000][65/535][55367] Loss_D: -0.025513 Loss_G: 0.016473 Loss_D_real: -0.018030 Loss_D_fake 0.007483
[539/5000][70/535][55368] Loss_D: -0.025705 Loss_G: -0.004243 Loss_D_real: -0.003456 Loss_D_fake 0.022250
[539/5000][75/535][55369] Loss_D: -0.027959 Loss_G: 0.010944 Loss_D_real: -0.017382 Loss_D_fake 0.010577
[539/5000][80/535][55370] Loss_D: -0.026856 Loss_G: 0.006642 Loss_D_real: -0.014799 Loss_D_fake 0.012057
[539/5000][85/535][55371] Loss_D: -0.025154 Loss_G: 0.025083 Loss_D_real: -0.029464 Loss_D_fake -0.004310
[539/5000][90/535][55372] Loss_D: -0.027732 Loss_G: 0.011195 Loss_D_real: -0.018478 Loss_D_fake 0.009254
[539/5000][95/535][55373] Loss_D: -0.027119 Loss_G: 0.022158 Loss_D_real: -0.021787 Loss_D_fake 0.005332
[539/5000][100/535][55374] Loss_D: -0.024961 Loss_G: -0.009308 Loss_D_real: 0.006958 Loss_D_fake 0.031919
[539/5000][105/535][55375] Loss_D: -0.026400 Loss_G: 0.027272 Loss_D_real: -0.024755 Loss_D_fake 0.001645
[539/5000][110/535][55376] Loss_D: -0.025984 Loss_G: 0.001382 Loss_D_real: -0.005681 Loss_D_fake 0.020303
[539/5000][115/535][55377] Loss_D: -0.025354 Loss_G: 0.026007 Loss_D_real: -0.030778 Loss_D_fake -0.005424
[539/5000][120/535][55378] Loss_D: -0.026260 Loss_G: 0.003033 Loss_D_real: -0.007028 Loss_D_fake 0.019232
[539/5000][125/535][55379] Loss_D: -0.026859 Loss_G: 0.017630 Loss_D_real: -0.021535 Loss_D_fake 0.005324
[539/5000][130/535][55380] Loss_D: -0.025794 Loss_G: 0.016509 Loss_D_real: -0.021012 Loss_D_fake 0.004782
[539/5000][135/535][55381] Loss_D: -0.026085 Loss_G: -0.007888 Loss_D_real: -0.003388 Loss_D_fake 0.022698
[539/5000][140/535][55382] Loss_D: -0.026110 Loss_G: 0.031111 Loss_D_real: -0.030067 Loss_D_fake -0.003957
[539/5000][145/535][55383] Loss_D: -0.025882 Loss_G: 0.016618 Loss_D_real: -0.026639 Loss_D_fake -0.000757
[539/5000][150/535][55384] Loss_D: -0.026652 Loss_G: 0.009542 Loss_D_real: -0.021633 Loss_D_fake 0.005019
[539/5000][155/535][55385] Loss_D: -0.027160 Loss_G: 0.006870 Loss_D_real: -0.007657 Loss_D_fake 0.019502
[539/5000][160/535][55386] Loss_D: -0.026340 Loss_G: -0.006208 Loss_D_real: -0.002176 Loss_D_fake 0.024164
[539/5000][165/535][55387] Loss_D: -0.026829 Loss_G: 0.024465 Loss_D_real: -0.026504 Loss_D_fake 0.000325
[539/5000][170/535][55388] Loss_D: -0.025981 Loss_G: 0.019139 Loss_D_real: -0.025865 Loss_D_fake 0.000115
[539/5000][175/535][55389] Loss_D: -0.027207 Loss_G: -0.004268 Loss_D_real: -0.014898 Loss_D_fake 0.012309
[539/5000][180/535][55390] Loss_D: -0.026984 Loss_G: 0.004610 Loss_D_real: -0.002253 Loss_D_fake 0.024731
[539/5000][185/535][55391] Loss_D: -0.026538 Loss_G: -0.002545 Loss_D_real: -0.007271 Loss_D_fake 0.019266
[539/5000][190/535][55392] Loss_D: -0.025713 Loss_G: 0.001608 Loss_D_real: 0.000261 Loss_D_fake 0.025974
[539/5000][195/535][55393] Loss_D: -0.024621 Loss_G: 0.012790 Loss_D_real: -0.021169 Loss_D_fake 0.003452
[539/5000][200/535][55394] Loss_D: -0.025922 Loss_G: -0.006659 Loss_D_real: -0.004249 Loss_D_fake 0.021673
[539/5000][205/535][55395] Loss_D: -0.025969 Loss_G: 0.017657 Loss_D_real: -0.017263 Loss_D_fake 0.008706
[539/5000][210/535][55396] Loss_D: -0.025938 Loss_G: 0.022961 Loss_D_real: -0.028957 Loss_D_fake -0.003019
[539/5000][215/535][55397] Loss_D: -0.025980 Loss_G: 0.035999 Loss_D_real: -0.023469 Loss_D_fake 0.002511
[539/5000][220/535][55398] Loss_D: -0.025494 Loss_G: 0.009213 Loss_D_real: -0.011828 Loss_D_fake 0.013666
[539/5000][225/535][55399] Loss_D: -0.026042 Loss_G: -0.000747 Loss_D_real: -0.010713 Loss_D_fake 0.015329
[539/5000][230/535][55400] Loss_D: -0.025740 Loss_G: 0.018748 Loss_D_real: -0.020384 Loss_D_fake 0.005356
[539/5000][235/535][55401] Loss_D: -0.025140 Loss_G: 0.014742 Loss_D_real: -0.013832 Loss_D_fake 0.011308
[539/5000][240/535][55402] Loss_D: -0.025609 Loss_G: -0.010392 Loss_D_real: 0.005182 Loss_D_fake 0.030791
[539/5000][245/535][55403] Loss_D: -0.025360 Loss_G: 0.004688 Loss_D_real: -0.000156 Loss_D_fake 0.025205
[539/5000][250/535][55404] Loss_D: -0.026137 Loss_G: 0.017848 Loss_D_real: -0.022193 Loss_D_fake 0.003944
[539/5000][255/535][55405] Loss_D: -0.025656 Loss_G: -0.010141 Loss_D_real: 0.001924 Loss_D_fake 0.027580
[539/5000][260/535][55406] Loss_D: -0.026313 Loss_G: 0.025142 Loss_D_real: -0.016615 Loss_D_fake 0.009698
[539/5000][265/535][55407] Loss_D: -0.025313 Loss_G: -0.010421 Loss_D_real: -0.003170 Loss_D_fake 0.022143
[539/5000][270/535][55408] Loss_D: -0.023846 Loss_G: 0.023865 Loss_D_real: -0.031995 Loss_D_fake -0.008149
[539/5000][275/535][55409] Loss_D: -0.024604 Loss_G: -0.004650 Loss_D_real: -0.000753 Loss_D_fake 0.023851
[539/5000][280/535][55410] Loss_D: -0.024857 Loss_G: 0.018336 Loss_D_real: -0.019814 Loss_D_fake 0.005042
[539/5000][285/535][55411] Loss_D: -0.025761 Loss_G: 0.022523 Loss_D_real: -0.023655 Loss_D_fake 0.002106
[539/5000][290/535][55412] Loss_D: -0.026603 Loss_G: -0.006245 Loss_D_real: -0.004614 Loss_D_fake 0.021989
[539/5000][295/535][55413] Loss_D: -0.023873 Loss_G: 0.017922 Loss_D_real: -0.018994 Loss_D_fake 0.004879
[539/5000][300/535][55414] Loss_D: -0.027291 Loss_G: 0.016185 Loss_D_real: -0.015531 Loss_D_fake 0.011760
[539/5000][305/535][55415] Loss_D: -0.027219 Loss_G: 0.028905 Loss_D_real: -0.026716 Loss_D_fake 0.000503
[539/5000][310/535][55416] Loss_D: -0.026250 Loss_G: 0.022332 Loss_D_real: -0.022593 Loss_D_fake 0.003658
[539/5000][315/535][55417] Loss_D: -0.025593 Loss_G: -0.007926 Loss_D_real: -0.008362 Loss_D_fake 0.017230
[539/5000][320/535][55418] Loss_D: -0.025392 Loss_G: 0.003695 Loss_D_real: -0.001732 Loss_D_fake 0.023660
[539/5000][325/535][55419] Loss_D: -0.026055 Loss_G: 0.013024 Loss_D_real: -0.019510 Loss_D_fake 0.006545
[539/5000][330/535][55420] Loss_D: -0.026190 Loss_G: 0.026641 Loss_D_real: -0.036238 Loss_D_fake -0.010048
[539/5000][335/535][55421] Loss_D: -0.026252 Loss_G: 0.030480 Loss_D_real: -0.027056 Loss_D_fake -0.000804
[539/5000][340/535][55422] Loss_D: -0.025549 Loss_G: 0.012939 Loss_D_real: -0.021998 Loss_D_fake 0.003550
[539/5000][345/535][55423] Loss_D: -0.027394 Loss_G: 0.002300 Loss_D_real: -0.014288 Loss_D_fake 0.013106
[539/5000][350/535][55424] Loss_D: -0.024650 Loss_G: -0.011055 Loss_D_real: 0.002271 Loss_D_fake 0.026921
[539/5000][355/535][55425] Loss_D: -0.025371 Loss_G: 0.019867 Loss_D_real: -0.002463 Loss_D_fake 0.022908
[539/5000][360/535][55426] Loss_D: -0.026440 Loss_G: 0.014965 Loss_D_real: -0.018712 Loss_D_fake 0.007727
[539/5000][365/535][55427] Loss_D: -0.025780 Loss_G: 0.015863 Loss_D_real: -0.012874 Loss_D_fake 0.012906
[539/5000][370/535][55428] Loss_D: -0.025235 Loss_G: 0.017440 Loss_D_real: -0.027670 Loss_D_fake -0.002435
[539/5000][375/535][55429] Loss_D: -0.025919 Loss_G: 0.027396 Loss_D_real: -0.023647 Loss_D_fake 0.002272
[539/5000][380/535][55430] Loss_D: -0.026651 Loss_G: 0.023595 Loss_D_real: -0.018922 Loss_D_fake 0.007729
[539/5000][385/535][55431] Loss_D: -0.025913 Loss_G: 0.029288 Loss_D_real: -0.036732 Loss_D_fake -0.010819
[539/5000][390/535][55432] Loss_D: -0.026144 Loss_G: 0.027633 Loss_D_real: -0.024847 Loss_D_fake 0.001297
[539/5000][395/535][55433] Loss_D: -0.027995 Loss_G: 0.004208 Loss_D_real: -0.011812 Loss_D_fake 0.016183
[539/5000][400/535][55434] Loss_D: -0.025974 Loss_G: -0.009880 Loss_D_real: -0.011841 Loss_D_fake 0.014132
[539/5000][405/535][55435] Loss_D: -0.025787 Loss_G: 0.015877 Loss_D_real: -0.020652 Loss_D_fake 0.005134
[539/5000][410/535][55436] Loss_D: -0.026464 Loss_G: 0.007502 Loss_D_real: -0.009906 Loss_D_fake 0.016558
[539/5000][415/535][55437] Loss_D: -0.024429 Loss_G: 0.004583 Loss_D_real: -0.013529 Loss_D_fake 0.010901
[539/5000][420/535][55438] Loss_D: -0.026173 Loss_G: 0.005117 Loss_D_real: -0.026767 Loss_D_fake -0.000594
[539/5000][425/535][55439] Loss_D: -0.025100 Loss_G: -0.010857 Loss_D_real: 0.001545 Loss_D_fake 0.026645
[539/5000][430/535][55440] Loss_D: -0.025538 Loss_G: 0.030983 Loss_D_real: -0.025303 Loss_D_fake 0.000234
[539/5000][435/535][55441] Loss_D: -0.025619 Loss_G: -0.006583 Loss_D_real: -0.007079 Loss_D_fake 0.018539
[539/5000][440/535][55442] Loss_D: -0.023250 Loss_G: 0.008810 Loss_D_real: -0.013671 Loss_D_fake 0.009580
[539/5000][445/535][55443] Loss_D: -0.023909 Loss_G: -0.000048 Loss_D_real: 0.003558 Loss_D_fake 0.027466
[539/5000][450/535][55444] Loss_D: -0.024708 Loss_G: 0.019095 Loss_D_real: -0.022453 Loss_D_fake 0.002255
[539/5000][455/535][55445] Loss_D: -0.024583 Loss_G: 0.031907 Loss_D_real: -0.034066 Loss_D_fake -0.009483
[539/5000][460/535][55446] Loss_D: -0.026661 Loss_G: 0.004347 Loss_D_real: -0.004642 Loss_D_fake 0.022020
[539/5000][465/535][55447] Loss_D: -0.024588 Loss_G: -0.015446 Loss_D_real: 0.001336 Loss_D_fake 0.025925
[539/5000][470/535][55448] Loss_D: -0.025714 Loss_G: 0.023041 Loss_D_real: -0.027224 Loss_D_fake -0.001511
[539/5000][475/535][55449] Loss_D: -0.026302 Loss_G: 0.027267 Loss_D_real: -0.028259 Loss_D_fake -0.001958
[539/5000][480/535][55450] Loss_D: -0.025940 Loss_G: 0.003948 Loss_D_real: -0.006330 Loss_D_fake 0.019610
[539/5000][485/535][55451] Loss_D: -0.025907 Loss_G: 0.021835 Loss_D_real: -0.025992 Loss_D_fake -0.000085
[539/5000][490/535][55452] Loss_D: -0.026107 Loss_G: -0.006910 Loss_D_real: 0.003805 Loss_D_fake 0.029912
[539/5000][495/535][55453] Loss_D: -0.026554 Loss_G: 0.009679 Loss_D_real: -0.020159 Loss_D_fake 0.006394
[539/5000][500/535][55454] Loss_D: -0.025727 Loss_G: 0.015243 Loss_D_real: -0.010443 Loss_D_fake 0.015285
[539/5000][505/535][55455] Loss_D: -0.025522 Loss_G: 0.021352 Loss_D_real: -0.024901 Loss_D_fake 0.000621
[539/5000][510/535][55456] Loss_D: -0.026330 Loss_G: 0.015489 Loss_D_real: -0.011097 Loss_D_fake 0.015232
[539/5000][515/535][55457] Loss_D: -0.025822 Loss_G: 0.004318 Loss_D_real: -0.017242 Loss_D_fake 0.008580
[539/5000][520/535][55458] Loss_D: -0.026588 Loss_G: 0.005020 Loss_D_real: -0.008325 Loss_D_fake 0.018263
[539/5000][525/535][55459] Loss_D: -0.025156 Loss_G: 0.009702 Loss_D_real: -0.028097 Loss_D_fake -0.002941
[539/5000][530/535][55460] Loss_D: -0.024569 Loss_G: 0.032238 Loss_D_real: -0.035098 Loss_D_fake -0.010529
[539/5000][535/535][55461] Loss_D: -0.026239 Loss_G: -0.003705 Loss_D_real: 0.001713 Loss_D_fake 0.027952
[540/5000][5/535][55462] Loss_D: -0.025300 Loss_G: 0.012815 Loss_D_real: -0.008121 Loss_D_fake 0.017179
[540/5000][10/535][55463] Loss_D: -0.024775 Loss_G: -0.008953 Loss_D_real: 0.003574 Loss_D_fake 0.028349
[540/5000][15/535][55464] Loss_D: -0.025633 Loss_G: 0.000464 Loss_D_real: -0.012192 Loss_D_fake 0.013441
[540/5000][20/535][55465] Loss_D: -0.025298 Loss_G: 0.021466 Loss_D_real: -0.011341 Loss_D_fake 0.013957
[540/5000][25/535][55466] Loss_D: -0.026875 Loss_G: 0.020260 Loss_D_real: -0.020804 Loss_D_fake 0.006071
[540/5000][30/535][55467] Loss_D: -0.026118 Loss_G: 0.002980 Loss_D_real: -0.003808 Loss_D_fake 0.022310
[540/5000][35/535][55468] Loss_D: -0.025952 Loss_G: 0.017948 Loss_D_real: -0.013090 Loss_D_fake 0.012862
[540/5000][40/535][55469] Loss_D: -0.024331 Loss_G: -0.000040 Loss_D_real: -0.012761 Loss_D_fake 0.011570
[540/5000][45/535][55470] Loss_D: -0.024704 Loss_G: 0.027492 Loss_D_real: -0.029455 Loss_D_fake -0.004751
[540/5000][50/535][55471] Loss_D: -0.026012 Loss_G: -0.008107 Loss_D_real: -0.003016 Loss_D_fake 0.022996
[540/5000][55/535][55472] Loss_D: -0.026656 Loss_G: 0.003691 Loss_D_real: -0.006787 Loss_D_fake 0.019869
[540/5000][60/535][55473] Loss_D: -0.025935 Loss_G: 0.019790 Loss_D_real: -0.012829 Loss_D_fake 0.013106
[540/5000][65/535][55474] Loss_D: -0.026107 Loss_G: -0.009307 Loss_D_real: -0.004777 Loss_D_fake 0.021330
[540/5000][70/535][55475] Loss_D: -0.027153 Loss_G: 0.027324 Loss_D_real: -0.024070 Loss_D_fake 0.003083
[540/5000][75/535][55476] Loss_D: -0.027619 Loss_G: 0.022363 Loss_D_real: -0.016667 Loss_D_fake 0.010952
[540/5000][80/535][55477] Loss_D: -0.025419 Loss_G: 0.024137 Loss_D_real: -0.029675 Loss_D_fake -0.004256
[540/5000][85/535][55478] Loss_D: -0.026930 Loss_G: 0.017770 Loss_D_real: -0.017612 Loss_D_fake 0.009318
[540/5000][90/535][55479] Loss_D: -0.026149 Loss_G: -0.006024 Loss_D_real: -0.010586 Loss_D_fake 0.015563
[540/5000][95/535][55480] Loss_D: -0.024820 Loss_G: 0.017479 Loss_D_real: -0.016780 Loss_D_fake 0.008039
[540/5000][100/535][55481] Loss_D: -0.026052 Loss_G: -0.005874 Loss_D_real: -0.003663 Loss_D_fake 0.022389
[540/5000][105/535][55482] Loss_D: -0.026423 Loss_G: 0.002808 Loss_D_real: -0.003595 Loss_D_fake 0.022828
[540/5000][110/535][55483] Loss_D: -0.026431 Loss_G: 0.028399 Loss_D_real: -0.030811 Loss_D_fake -0.004379
[540/5000][115/535][55484] Loss_D: -0.025906 Loss_G: -0.005520 Loss_D_real: -0.003880 Loss_D_fake 0.022027
[540/5000][120/535][55485] Loss_D: -0.025475 Loss_G: 0.023540 Loss_D_real: -0.020345 Loss_D_fake 0.005129
[540/5000][125/535][55486] Loss_D: -0.026369 Loss_G: 0.021241 Loss_D_real: -0.024111 Loss_D_fake 0.002257
[540/5000][130/535][55487] Loss_D: -0.024471 Loss_G: -0.000615 Loss_D_real: -0.012378 Loss_D_fake 0.012093
[540/5000][135/535][55488] Loss_D: -0.027056 Loss_G: -0.006071 Loss_D_real: 0.000418 Loss_D_fake 0.027474
[540/5000][140/535][55489] Loss_D: -0.026395 Loss_G: 0.014510 Loss_D_real: -0.019750 Loss_D_fake 0.006645
[540/5000][145/535][55490] Loss_D: -0.026981 Loss_G: 0.027785 Loss_D_real: -0.032118 Loss_D_fake -0.005138
[540/5000][150/535][55491] Loss_D: -0.025719 Loss_G: 0.021912 Loss_D_real: -0.022112 Loss_D_fake 0.003608
[540/5000][155/535][55492] Loss_D: -0.026291 Loss_G: 0.027014 Loss_D_real: -0.029680 Loss_D_fake -0.003389
[540/5000][160/535][55493] Loss_D: -0.025813 Loss_G: -0.010697 Loss_D_real: -0.004027 Loss_D_fake 0.021785
[540/5000][165/535][55494] Loss_D: -0.024925 Loss_G: 0.007964 Loss_D_real: -0.011219 Loss_D_fake 0.013706
[540/5000][170/535][55495] Loss_D: -0.025681 Loss_G: 0.032176 Loss_D_real: -0.029253 Loss_D_fake -0.003572
[540/5000][175/535][55496] Loss_D: -0.026695 Loss_G: 0.007287 Loss_D_real: -0.017296 Loss_D_fake 0.009399
[540/5000][180/535][55497] Loss_D: -0.026126 Loss_G: 0.017351 Loss_D_real: -0.023454 Loss_D_fake 0.002672
[540/5000][185/535][55498] Loss_D: -0.025840 Loss_G: 0.022339 Loss_D_real: -0.029040 Loss_D_fake -0.003200
[540/5000][190/535][55499] Loss_D: -0.025964 Loss_G: 0.003755 Loss_D_real: -0.006097 Loss_D_fake 0.019867
[540/5000][195/535][55500] Loss_D: -0.024497 Loss_G: 0.014888 Loss_D_real: -0.025019 Loss_D_fake -0.000522
[540/5000][295/535][55501] Loss_D: -0.028329 Loss_G: 0.010189 Loss_D_real: -0.014333 Loss_D_fake 0.013996
[540/5000][300/535][55502] Loss_D: -0.027560 Loss_G: 0.016031 Loss_D_real: -0.014329 Loss_D_fake 0.013231
[540/5000][305/535][55503] Loss_D: -0.024962 Loss_G: 0.010126 Loss_D_real: -0.018101 Loss_D_fake 0.006861
[540/5000][310/535][55504] Loss_D: -0.024408 Loss_G: 0.003132 Loss_D_real: 0.000590 Loss_D_fake 0.024998
[540/5000][315/535][55505] Loss_D: -0.024312 Loss_G: 0.010059 Loss_D_real: -0.008578 Loss_D_fake 0.015734
[540/5000][320/535][55506] Loss_D: -0.026011 Loss_G: 0.016282 Loss_D_real: -0.014117 Loss_D_fake 0.011893
[540/5000][325/535][55507] Loss_D: -0.025965 Loss_G: 0.030517 Loss_D_real: -0.024347 Loss_D_fake 0.001618
[540/5000][330/535][55508] Loss_D: -0.027095 Loss_G: -0.008669 Loss_D_real: -0.010419 Loss_D_fake 0.016676
[540/5000][335/535][55509] Loss_D: -0.025443 Loss_G: 0.028171 Loss_D_real: -0.027069 Loss_D_fake -0.001626
[540/5000][340/535][55510] Loss_D: -0.024591 Loss_G: 0.013136 Loss_D_real: -0.007186 Loss_D_fake 0.017405
[540/5000][345/535][55511] Loss_D: -0.024234 Loss_G: 0.020339 Loss_D_real: -0.016396 Loss_D_fake 0.007838
[540/5000][350/535][55512] Loss_D: -0.024764 Loss_G: 0.007797 Loss_D_real: -0.012565 Loss_D_fake 0.012199
[540/5000][355/535][55513] Loss_D: -0.026360 Loss_G: 0.013463 Loss_D_real: -0.015947 Loss_D_fake 0.010413
[540/5000][360/535][55514] Loss_D: -0.026340 Loss_G: 0.019245 Loss_D_real: -0.017233 Loss_D_fake 0.009107
[540/5000][365/535][55515] Loss_D: -0.025718 Loss_G: 0.025811 Loss_D_real: -0.028991 Loss_D_fake -0.003273
[540/5000][370/535][55516] Loss_D: -0.024913 Loss_G: 0.020572 Loss_D_real: -0.024336 Loss_D_fake 0.000577
[540/5000][375/535][55517] Loss_D: -0.025306 Loss_G: 0.028516 Loss_D_real: -0.024534 Loss_D_fake 0.000772
[540/5000][380/535][55518] Loss_D: -0.025766 Loss_G: -0.005196 Loss_D_real: 0.001490 Loss_D_fake 0.027256
[540/5000][385/535][55519] Loss_D: -0.024373 Loss_G: 0.023846 Loss_D_real: -0.020061 Loss_D_fake 0.004312
[540/5000][390/535][55520] Loss_D: -0.026168 Loss_G: 0.012057 Loss_D_real: -0.012540 Loss_D_fake 0.013629
[540/5000][395/535][55521] Loss_D: -0.025861 Loss_G: -0.005712 Loss_D_real: -0.013361 Loss_D_fake 0.012500
[540/5000][400/535][55522] Loss_D: -0.027049 Loss_G: 0.003057 Loss_D_real: -0.012430 Loss_D_fake 0.014620
[540/5000][405/535][55523] Loss_D: -0.027844 Loss_G: 0.011790 Loss_D_real: -0.009231 Loss_D_fake 0.018612
[540/5000][410/535][55524] Loss_D: -0.024342 Loss_G: 0.007160 Loss_D_real: -0.006676 Loss_D_fake 0.017666
[540/5000][415/535][55525] Loss_D: -0.025178 Loss_G: 0.009273 Loss_D_real: -0.016038 Loss_D_fake 0.009141
[540/5000][420/535][55526] Loss_D: -0.024200 Loss_G: 0.029547 Loss_D_real: -0.035961 Loss_D_fake -0.011761
[540/5000][425/535][55527] Loss_D: -0.025884 Loss_G: -0.002169 Loss_D_real: -0.010191 Loss_D_fake 0.015693
[540/5000][430/535][55528] Loss_D: -0.024316 Loss_G: 0.032204 Loss_D_real: -0.029650 Loss_D_fake -0.005335
[540/5000][435/535][55529] Loss_D: -0.025642 Loss_G: -0.002473 Loss_D_real: -0.007525 Loss_D_fake 0.018117
[540/5000][440/535][55530] Loss_D: -0.024871 Loss_G: 0.017413 Loss_D_real: -0.024015 Loss_D_fake 0.000856
[540/5000][445/535][55531] Loss_D: -0.025466 Loss_G: 0.018241 Loss_D_real: -0.024913 Loss_D_fake 0.000553
[540/5000][450/535][55532] Loss_D: -0.027186 Loss_G: 0.009623 Loss_D_real: -0.016917 Loss_D_fake 0.010269
[540/5000][455/535][55533] Loss_D: -0.025332 Loss_G: 0.015327 Loss_D_real: -0.026411 Loss_D_fake -0.001079
[540/5000][460/535][55534] Loss_D: -0.027163 Loss_G: -0.001823 Loss_D_real: -0.014420 Loss_D_fake 0.012743
[540/5000][465/535][55535] Loss_D: -0.025369 Loss_G: 0.030278 Loss_D_real: -0.037318 Loss_D_fake -0.011949
[540/5000][470/535][55536] Loss_D: -0.025650 Loss_G: 0.005569 Loss_D_real: -0.017699 Loss_D_fake 0.007950
[540/5000][475/535][55537] Loss_D: -0.023692 Loss_G: 0.031541 Loss_D_real: -0.036924 Loss_D_fake -0.013232
[540/5000][480/535][55538] Loss_D: -0.024919 Loss_G: 0.004195 Loss_D_real: -0.004596 Loss_D_fake 0.020323
[540/5000][485/535][55539] Loss_D: -0.025505 Loss_G: 0.008746 Loss_D_real: -0.020179 Loss_D_fake 0.005326
[540/5000][490/535][55540] Loss_D: -0.025873 Loss_G: 0.038652 Loss_D_real: -0.031995 Loss_D_fake -0.006122
[540/5000][495/535][55541] Loss_D: -0.026012 Loss_G: 0.009325 Loss_D_real: -0.010003 Loss_D_fake 0.016009
[540/5000][500/535][55542] Loss_D: -0.025697 Loss_G: 0.030674 Loss_D_real: -0.027576 Loss_D_fake -0.001879
[540/5000][505/535][55543] Loss_D: -0.026479 Loss_G: 0.006926 Loss_D_real: -0.019650 Loss_D_fake 0.006829
[540/5000][510/535][55544] Loss_D: -0.026484 Loss_G: 0.011287 Loss_D_real: -0.016391 Loss_D_fake 0.010093
[540/5000][515/535][55545] Loss_D: -0.026401 Loss_G: 0.012246 Loss_D_real: -0.018460 Loss_D_fake 0.007941
[540/5000][520/535][55546] Loss_D: -0.027052 Loss_G: 0.006711 Loss_D_real: -0.016601 Loss_D_fake 0.010451
[540/5000][525/535][55547] Loss_D: -0.024487 Loss_G: 0.029774 Loss_D_real: -0.028165 Loss_D_fake -0.003678
[540/5000][530/535][55548] Loss_D: -0.026590 Loss_G: -0.002554 Loss_D_real: 0.000422 Loss_D_fake 0.027012
[540/5000][535/535][55549] Loss_D: -0.022240 Loss_G: 0.035543 Loss_D_real: -0.031810 Loss_D_fake -0.009570
[541/5000][5/535][55550] Loss_D: -0.026355 Loss_G: 0.003838 Loss_D_real: -0.019709 Loss_D_fake 0.006646
[541/5000][10/535][55551] Loss_D: -0.024475 Loss_G: 0.037161 Loss_D_real: -0.035370 Loss_D_fake -0.010895
[541/5000][15/535][55552] Loss_D: -0.025334 Loss_G: 0.003621 Loss_D_real: -0.006904 Loss_D_fake 0.018430
[541/5000][20/535][55553] Loss_D: -0.027004 Loss_G: 0.012488 Loss_D_real: -0.021379 Loss_D_fake 0.005625
[541/5000][25/535][55554] Loss_D: -0.025156 Loss_G: -0.003403 Loss_D_real: 0.003095 Loss_D_fake 0.028250
[541/5000][30/535][55555] Loss_D: -0.027873 Loss_G: 0.016859 Loss_D_real: -0.017070 Loss_D_fake 0.010803
[541/5000][35/535][55556] Loss_D: -0.026790 Loss_G: 0.031405 Loss_D_real: -0.027104 Loss_D_fake -0.000314
[541/5000][40/535][55557] Loss_D: -0.026779 Loss_G: 0.015075 Loss_D_real: -0.026153 Loss_D_fake 0.000625
[541/5000][45/535][55558] Loss_D: -0.026230 Loss_G: 0.011432 Loss_D_real: -0.011993 Loss_D_fake 0.014236
[541/5000][50/535][55559] Loss_D: -0.027402 Loss_G: 0.010169 Loss_D_real: -0.017322 Loss_D_fake 0.010080
[541/5000][55/535][55560] Loss_D: -0.026253 Loss_G: 0.012571 Loss_D_real: -0.013597 Loss_D_fake 0.012655
[541/5000][60/535][55561] Loss_D: -0.027490 Loss_G: 0.015483 Loss_D_real: -0.015609 Loss_D_fake 0.011881
[541/5000][65/535][55562] Loss_D: -0.026016 Loss_G: 0.015224 Loss_D_real: -0.022482 Loss_D_fake 0.003535
[541/5000][70/535][55563] Loss_D: -0.026268 Loss_G: 0.001247 Loss_D_real: -0.012072 Loss_D_fake 0.014196
[541/5000][75/535][55564] Loss_D: -0.027007 Loss_G: 0.018858 Loss_D_real: -0.024710 Loss_D_fake 0.002297
[541/5000][80/535][55565] Loss_D: -0.026011 Loss_G: 0.001037 Loss_D_real: 0.004068 Loss_D_fake 0.030079
[541/5000][85/535][55566] Loss_D: -0.026350 Loss_G: 0.006344 Loss_D_real: -0.007196 Loss_D_fake 0.019154
[541/5000][90/535][55567] Loss_D: -0.025468 Loss_G: 0.026529 Loss_D_real: -0.011540 Loss_D_fake 0.013928
[541/5000][95/535][55568] Loss_D: -0.025471 Loss_G: -0.003194 Loss_D_real: 0.003419 Loss_D_fake 0.028890
[541/5000][100/535][55569] Loss_D: -0.024111 Loss_G: 0.005011 Loss_D_real: -0.017575 Loss_D_fake 0.006536
[541/5000][105/535][55570] Loss_D: -0.024675 Loss_G: -0.005136 Loss_D_real: 0.003612 Loss_D_fake 0.028287
[541/5000][110/535][55571] Loss_D: -0.024297 Loss_G: 0.023416 Loss_D_real: -0.020922 Loss_D_fake 0.003375
[541/5000][115/535][55572] Loss_D: -0.025899 Loss_G: 0.018250 Loss_D_real: -0.023694 Loss_D_fake 0.002205
[541/5000][120/535][55573] Loss_D: -0.026667 Loss_G: 0.012745 Loss_D_real: -0.007531 Loss_D_fake 0.019136
[541/5000][125/535][55574] Loss_D: -0.026993 Loss_G: -0.000081 Loss_D_real: -0.009681 Loss_D_fake 0.017312
[541/5000][130/535][55575] Loss_D: -0.026145 Loss_G: 0.011059 Loss_D_real: -0.016749 Loss_D_fake 0.009397
[541/5000][135/535][55576] Loss_D: -0.025107 Loss_G: -0.005068 Loss_D_real: -0.001858 Loss_D_fake 0.023249
[541/5000][140/535][55577] Loss_D: -0.025951 Loss_G: 0.010654 Loss_D_real: -0.017839 Loss_D_fake 0.008112
[541/5000][145/535][55578] Loss_D: -0.025088 Loss_G: 0.028048 Loss_D_real: -0.022976 Loss_D_fake 0.002112
[541/5000][150/535][55579] Loss_D: -0.023626 Loss_G: 0.033201 Loss_D_real: -0.032076 Loss_D_fake -0.008450
[541/5000][155/535][55580] Loss_D: -0.024788 Loss_G: 0.029414 Loss_D_real: -0.023920 Loss_D_fake 0.000868
[541/5000][160/535][55581] Loss_D: -0.025813 Loss_G: 0.019876 Loss_D_real: -0.019737 Loss_D_fake 0.006076
[541/5000][165/535][55582] Loss_D: -0.025595 Loss_G: 0.017884 Loss_D_real: -0.021968 Loss_D_fake 0.003627
[541/5000][170/535][55583] Loss_D: -0.025576 Loss_G: -0.013996 Loss_D_real: 0.003705 Loss_D_fake 0.029281
[541/5000][175/535][55584] Loss_D: -0.025016 Loss_G: 0.010063 Loss_D_real: -0.019796 Loss_D_fake 0.005220
[541/5000][180/535][55585] Loss_D: -0.025789 Loss_G: 0.025869 Loss_D_real: -0.026245 Loss_D_fake -0.000456
[541/5000][185/535][55586] Loss_D: -0.026576 Loss_G: -0.002379 Loss_D_real: -0.002904 Loss_D_fake 0.023673
[541/5000][190/535][55587] Loss_D: -0.026402 Loss_G: 0.019701 Loss_D_real: -0.031070 Loss_D_fake -0.004667
[541/5000][195/535][55588] Loss_D: -0.025481 Loss_G: 0.028193 Loss_D_real: -0.033863 Loss_D_fake -0.008382
[541/5000][200/535][55589] Loss_D: -0.026977 Loss_G: -0.012286 Loss_D_real: -0.004060 Loss_D_fake 0.022917
[541/5000][205/535][55590] Loss_D: -0.025692 Loss_G: 0.016330 Loss_D_real: -0.020446 Loss_D_fake 0.005246
[541/5000][210/535][55591] Loss_D: -0.026941 Loss_G: 0.026768 Loss_D_real: -0.030045 Loss_D_fake -0.003104
[541/5000][215/535][55592] Loss_D: -0.026907 Loss_G: 0.001198 Loss_D_real: -0.012534 Loss_D_fake 0.014373
[541/5000][220/535][55593] Loss_D: -0.026108 Loss_G: 0.027879 Loss_D_real: -0.028812 Loss_D_fake -0.002704
[541/5000][225/535][55594] Loss_D: -0.026350 Loss_G: -0.020474 Loss_D_real: 0.002756 Loss_D_fake 0.029106
[541/5000][230/535][55595] Loss_D: -0.026891 Loss_G: 0.004921 Loss_D_real: -0.014813 Loss_D_fake 0.012078
[541/5000][235/535][55596] Loss_D: -0.026225 Loss_G: 0.032069 Loss_D_real: -0.025173 Loss_D_fake 0.001052
[541/5000][240/535][55597] Loss_D: -0.025612 Loss_G: 0.023435 Loss_D_real: -0.024185 Loss_D_fake 0.001426
[541/5000][245/535][55598] Loss_D: -0.026257 Loss_G: 0.019575 Loss_D_real: -0.010102 Loss_D_fake 0.016155
[541/5000][250/535][55599] Loss_D: -0.025958 Loss_G: 0.020922 Loss_D_real: -0.021096 Loss_D_fake 0.004861
[541/5000][255/535][55600] Loss_D: -0.024404 Loss_G: 0.014545 Loss_D_real: -0.031730 Loss_D_fake -0.007326
[541/5000][260/535][55601] Loss_D: -0.026249 Loss_G: 0.021021 Loss_D_real: -0.028032 Loss_D_fake -0.001783
[541/5000][265/535][55602] Loss_D: -0.027355 Loss_G: 0.012052 Loss_D_real: -0.019041 Loss_D_fake 0.008314
[541/5000][270/535][55603] Loss_D: -0.025987 Loss_G: 0.014627 Loss_D_real: -0.024366 Loss_D_fake 0.001620
[541/5000][275/535][55604] Loss_D: -0.026280 Loss_G: 0.022699 Loss_D_real: -0.030732 Loss_D_fake -0.004453
[541/5000][280/535][55605] Loss_D: -0.028014 Loss_G: 0.000866 Loss_D_real: -0.011923 Loss_D_fake 0.016091
[541/5000][285/535][55606] Loss_D: -0.026945 Loss_G: 0.030746 Loss_D_real: -0.024538 Loss_D_fake 0.002407
[541/5000][290/535][55607] Loss_D: -0.026041 Loss_G: 0.000161 Loss_D_real: -0.008762 Loss_D_fake 0.017278
[541/5000][295/535][55608] Loss_D: -0.025674 Loss_G: 0.005017 Loss_D_real: -0.013261 Loss_D_fake 0.012413
[541/5000][300/535][55609] Loss_D: -0.025604 Loss_G: 0.028329 Loss_D_real: -0.026580 Loss_D_fake -0.000976
[541/5000][305/535][55610] Loss_D: -0.025943 Loss_G: 0.027639 Loss_D_real: -0.027495 Loss_D_fake -0.001552
[541/5000][310/535][55611] Loss_D: -0.025760 Loss_G: -0.008765 Loss_D_real: 0.003337 Loss_D_fake 0.029097
[541/5000][315/535][55612] Loss_D: -0.025622 Loss_G: 0.017920 Loss_D_real: -0.021371 Loss_D_fake 0.004251
[541/5000][320/535][55613] Loss_D: -0.026491 Loss_G: 0.014463 Loss_D_real: -0.016445 Loss_D_fake 0.010046
[541/5000][325/535][55614] Loss_D: -0.025456 Loss_G: -0.004704 Loss_D_real: -0.009654 Loss_D_fake 0.015801
[541/5000][330/535][55615] Loss_D: -0.025063 Loss_G: 0.022369 Loss_D_real: -0.024488 Loss_D_fake 0.000575
[541/5000][335/535][55616] Loss_D: -0.026105 Loss_G: 0.005400 Loss_D_real: -0.001624 Loss_D_fake 0.024481
[541/5000][340/535][55617] Loss_D: -0.026235 Loss_G: 0.019986 Loss_D_real: -0.013722 Loss_D_fake 0.012513
[541/5000][345/535][55618] Loss_D: -0.025422 Loss_G: 0.006390 Loss_D_real: -0.012602 Loss_D_fake 0.012820
[541/5000][350/535][55619] Loss_D: -0.024744 Loss_G: 0.027224 Loss_D_real: -0.026948 Loss_D_fake -0.002204
[541/5000][355/535][55620] Loss_D: -0.026811 Loss_G: 0.013416 Loss_D_real: -0.013271 Loss_D_fake 0.013540
[541/5000][360/535][55621] Loss_D: -0.026209 Loss_G: 0.028530 Loss_D_real: -0.032151 Loss_D_fake -0.005943
[541/5000][365/535][55622] Loss_D: -0.026877 Loss_G: 0.020419 Loss_D_real: -0.027778 Loss_D_fake -0.000901
[541/5000][370/535][55623] Loss_D: -0.025932 Loss_G: 0.027043 Loss_D_real: -0.014803 Loss_D_fake 0.011129
[541/5000][375/535][55624] Loss_D: -0.026829 Loss_G: 0.008875 Loss_D_real: -0.026562 Loss_D_fake 0.000267
[541/5000][380/535][55625] Loss_D: -0.025897 Loss_G: 0.010755 Loss_D_real: -0.008548 Loss_D_fake 0.017349
[541/5000][385/535][55626] Loss_D: -0.025547 Loss_G: 0.002244 Loss_D_real: -0.010897 Loss_D_fake 0.014650
[541/5000][390/535][55627] Loss_D: -0.024778 Loss_G: 0.022024 Loss_D_real: -0.026436 Loss_D_fake -0.001659
[541/5000][395/535][55628] Loss_D: -0.026446 Loss_G: -0.005671 Loss_D_real: -0.009726 Loss_D_fake 0.016720
[541/5000][400/535][55629] Loss_D: -0.025371 Loss_G: 0.021229 Loss_D_real: -0.022696 Loss_D_fake 0.002674
[541/5000][405/535][55630] Loss_D: -0.025392 Loss_G: 0.004253 Loss_D_real: -0.005560 Loss_D_fake 0.019831
[541/5000][410/535][55631] Loss_D: -0.026153 Loss_G: 0.028439 Loss_D_real: -0.023632 Loss_D_fake 0.002522
[541/5000][415/535][55632] Loss_D: -0.026035 Loss_G: 0.000171 Loss_D_real: -0.006805 Loss_D_fake 0.019230
[541/5000][420/535][55633] Loss_D: -0.026319 Loss_G: 0.017903 Loss_D_real: -0.020308 Loss_D_fake 0.006012
[541/5000][425/535][55634] Loss_D: -0.025175 Loss_G: 0.034325 Loss_D_real: -0.033764 Loss_D_fake -0.008589
[541/5000][430/535][55635] Loss_D: -0.026760 Loss_G: 0.005822 Loss_D_real: -0.005458 Loss_D_fake 0.021302
[541/5000][435/535][55636] Loss_D: -0.027235 Loss_G: -0.007318 Loss_D_real: -0.008823 Loss_D_fake 0.018412
[541/5000][440/535][55637] Loss_D: -0.025052 Loss_G: 0.025298 Loss_D_real: -0.025699 Loss_D_fake -0.000647
[541/5000][445/535][55638] Loss_D: -0.025110 Loss_G: 0.018800 Loss_D_real: -0.017052 Loss_D_fake 0.008058
[541/5000][450/535][55639] Loss_D: -0.025627 Loss_G: 0.002180 Loss_D_real: -0.006693 Loss_D_fake 0.018933
[541/5000][455/535][55640] Loss_D: -0.026626 Loss_G: 0.004204 Loss_D_real: -0.008807 Loss_D_fake 0.017819
[541/5000][460/535][55641] Loss_D: -0.025353 Loss_G: 0.027332 Loss_D_real: -0.022139 Loss_D_fake 0.003214
[541/5000][465/535][55642] Loss_D: -0.024324 Loss_G: 0.000137 Loss_D_real: -0.000873 Loss_D_fake 0.023452
[541/5000][470/535][55643] Loss_D: -0.026557 Loss_G: 0.008442 Loss_D_real: -0.017751 Loss_D_fake 0.008806
[541/5000][475/535][55644] Loss_D: -0.025805 Loss_G: 0.022366 Loss_D_real: -0.029182 Loss_D_fake -0.003377
[541/5000][480/535][55645] Loss_D: -0.026741 Loss_G: 0.018395 Loss_D_real: -0.014577 Loss_D_fake 0.012164
[541/5000][485/535][55646] Loss_D: -0.026203 Loss_G: 0.021270 Loss_D_real: -0.029707 Loss_D_fake -0.003504
[541/5000][490/535][55647] Loss_D: -0.027185 Loss_G: -0.001541 Loss_D_real: -0.020994 Loss_D_fake 0.006191
[541/5000][495/535][55648] Loss_D: -0.025920 Loss_G: 0.012384 Loss_D_real: -0.024027 Loss_D_fake 0.001894
[541/5000][500/535][55649] Loss_D: -0.026556 Loss_G: 0.013297 Loss_D_real: -0.017077 Loss_D_fake 0.009478
[541/5000][505/535][55650] Loss_D: -0.026210 Loss_G: 0.023287 Loss_D_real: -0.025291 Loss_D_fake 0.000919
[541/5000][510/535][55651] Loss_D: -0.025947 Loss_G: 0.013719 Loss_D_real: -0.020940 Loss_D_fake 0.005007
[541/5000][515/535][55652] Loss_D: -0.026076 Loss_G: -0.007883 Loss_D_real: -0.002323 Loss_D_fake 0.023753
[541/5000][520/535][55653] Loss_D: -0.026248 Loss_G: 0.022231 Loss_D_real: -0.026057 Loss_D_fake 0.000191
[541/5000][525/535][55654] Loss_D: -0.026786 Loss_G: 0.018071 Loss_D_real: -0.017851 Loss_D_fake 0.008935
[541/5000][530/535][55655] Loss_D: -0.026451 Loss_G: 0.002656 Loss_D_real: -0.015776 Loss_D_fake 0.010675
[541/5000][535/535][55656] Loss_D: -0.028975 Loss_G: 0.043317 Loss_D_real: -0.037507 Loss_D_fake -0.008532
[542/5000][5/535][55657] Loss_D: -0.026996 Loss_G: -0.002044 Loss_D_real: -0.007563 Loss_D_fake 0.019433
[542/5000][10/535][55658] Loss_D: -0.024937 Loss_G: 0.015935 Loss_D_real: -0.021428 Loss_D_fake 0.003509
[542/5000][15/535][55659] Loss_D: -0.025681 Loss_G: 0.014788 Loss_D_real: -0.025185 Loss_D_fake 0.000496
[542/5000][20/535][55660] Loss_D: -0.026513 Loss_G: 0.021846 Loss_D_real: -0.031710 Loss_D_fake -0.005198
[542/5000][25/535][55661] Loss_D: -0.026571 Loss_G: 0.024712 Loss_D_real: -0.024537 Loss_D_fake 0.002034
[542/5000][30/535][55662] Loss_D: -0.024389 Loss_G: 0.029585 Loss_D_real: -0.025342 Loss_D_fake -0.000953
[542/5000][35/535][55663] Loss_D: -0.025678 Loss_G: 0.016317 Loss_D_real: -0.016923 Loss_D_fake 0.008755
[542/5000][40/535][55664] Loss_D: -0.026368 Loss_G: 0.002556 Loss_D_real: -0.020409 Loss_D_fake 0.005960
[542/5000][45/535][55665] Loss_D: -0.025542 Loss_G: 0.013001 Loss_D_real: -0.007933 Loss_D_fake 0.017608
[542/5000][50/535][55666] Loss_D: -0.025951 Loss_G: 0.005465 Loss_D_real: -0.015019 Loss_D_fake 0.010932
[542/5000][55/535][55667] Loss_D: -0.025563 Loss_G: -0.002812 Loss_D_real: -0.005759 Loss_D_fake 0.019804
[542/5000][60/535][55668] Loss_D: -0.027102 Loss_G: 0.026344 Loss_D_real: -0.023176 Loss_D_fake 0.003926
[542/5000][65/535][55669] Loss_D: -0.024733 Loss_G: 0.032080 Loss_D_real: -0.022721 Loss_D_fake 0.002012
[542/5000][70/535][55670] Loss_D: -0.026458 Loss_G: 0.016740 Loss_D_real: -0.015810 Loss_D_fake 0.010648
[542/5000][75/535][55671] Loss_D: -0.024885 Loss_G: 0.034281 Loss_D_real: -0.037009 Loss_D_fake -0.012124
[542/5000][80/535][55672] Loss_D: -0.026702 Loss_G: 0.009602 Loss_D_real: -0.014540 Loss_D_fake 0.012163
[542/5000][85/535][55673] Loss_D: -0.025586 Loss_G: 0.002803 Loss_D_real: -0.000460 Loss_D_fake 0.025126
[542/5000][90/535][55674] Loss_D: -0.026097 Loss_G: -0.000027 Loss_D_real: -0.012906 Loss_D_fake 0.013191
[542/5000][95/535][55675] Loss_D: -0.025680 Loss_G: 0.015307 Loss_D_real: -0.018829 Loss_D_fake 0.006851
[542/5000][100/535][55676] Loss_D: -0.024300 Loss_G: -0.011392 Loss_D_real: 0.001988 Loss_D_fake 0.026288
[542/5000][105/535][55677] Loss_D: -0.026569 Loss_G: 0.011507 Loss_D_real: -0.009635 Loss_D_fake 0.016934
[542/5000][110/535][55678] Loss_D: -0.025490 Loss_G: 0.008120 Loss_D_real: -0.018572 Loss_D_fake 0.006918
[542/5000][115/535][55679] Loss_D: -0.026278 Loss_G: 0.025362 Loss_D_real: -0.025381 Loss_D_fake 0.000897
[542/5000][120/535][55680] Loss_D: -0.025800 Loss_G: 0.009534 Loss_D_real: -0.017914 Loss_D_fake 0.007886
[542/5000][125/535][55681] Loss_D: -0.023670 Loss_G: 0.033909 Loss_D_real: -0.031565 Loss_D_fake -0.007895
[542/5000][130/535][55682] Loss_D: -0.026129 Loss_G: -0.002900 Loss_D_real: -0.003821 Loss_D_fake 0.022308
[542/5000][135/535][55683] Loss_D: -0.025324 Loss_G: 0.017839 Loss_D_real: -0.017031 Loss_D_fake 0.008293
[542/5000][140/535][55684] Loss_D: -0.027493 Loss_G: 0.001221 Loss_D_real: -0.005853 Loss_D_fake 0.021639
[542/5000][145/535][55685] Loss_D: -0.025914 Loss_G: 0.036853 Loss_D_real: -0.021956 Loss_D_fake 0.003958
[542/5000][150/535][55686] Loss_D: -0.025098 Loss_G: 0.033109 Loss_D_real: -0.022984 Loss_D_fake 0.002114
[542/5000][155/535][55687] Loss_D: -0.025960 Loss_G: 0.013770 Loss_D_real: -0.009399 Loss_D_fake 0.016560
[542/5000][160/535][55688] Loss_D: -0.024018 Loss_G: 0.026912 Loss_D_real: -0.029357 Loss_D_fake -0.005339
[542/5000][165/535][55689] Loss_D: -0.026199 Loss_G: 0.011997 Loss_D_real: -0.022300 Loss_D_fake 0.003899
[542/5000][170/535][55690] Loss_D: -0.025499 Loss_G: -0.001548 Loss_D_real: -0.003363 Loss_D_fake 0.022137
[542/5000][175/535][55691] Loss_D: -0.024552 Loss_G: 0.015252 Loss_D_real: -0.021377 Loss_D_fake 0.003175
[542/5000][180/535][55692] Loss_D: -0.025817 Loss_G: 0.012651 Loss_D_real: -0.012315 Loss_D_fake 0.013502
[542/5000][185/535][55693] Loss_D: -0.023890 Loss_G: 0.024961 Loss_D_real: -0.024733 Loss_D_fake -0.000843
[542/5000][190/535][55694] Loss_D: -0.025140 Loss_G: 0.029399 Loss_D_real: -0.029278 Loss_D_fake -0.004139
[542/5000][195/535][55695] Loss_D: -0.026611 Loss_G: 0.009219 Loss_D_real: -0.017141 Loss_D_fake 0.009469
[542/5000][200/535][55696] Loss_D: -0.024146 Loss_G: 0.038299 Loss_D_real: -0.035877 Loss_D_fake -0.011731
[542/5000][205/535][55697] Loss_D: -0.026602 Loss_G: 0.017314 Loss_D_real: -0.026432 Loss_D_fake 0.000170
[542/5000][210/535][55698] Loss_D: -0.026997 Loss_G: 0.005463 Loss_D_real: -0.018235 Loss_D_fake 0.008762
[542/5000][215/535][55699] Loss_D: -0.025131 Loss_G: 0.026092 Loss_D_real: -0.023058 Loss_D_fake 0.002073
[542/5000][220/535][55700] Loss_D: -0.027624 Loss_G: 0.014440 Loss_D_real: -0.012784 Loss_D_fake 0.014840
[542/5000][225/535][55701] Loss_D: -0.027105 Loss_G: 0.014115 Loss_D_real: -0.016021 Loss_D_fake 0.011084
[542/5000][230/535][55702] Loss_D: -0.025877 Loss_G: 0.032631 Loss_D_real: -0.025159 Loss_D_fake 0.000718
[542/5000][235/535][55703] Loss_D: -0.027106 Loss_G: 0.020336 Loss_D_real: -0.032983 Loss_D_fake -0.005877
[542/5000][240/535][55704] Loss_D: -0.025594 Loss_G: -0.006160 Loss_D_real: -0.006280 Loss_D_fake 0.019314
[542/5000][245/535][55705] Loss_D: -0.025016 Loss_G: 0.013526 Loss_D_real: -0.014545 Loss_D_fake 0.010470
[542/5000][250/535][55706] Loss_D: -0.025876 Loss_G: 0.000953 Loss_D_real: -0.005777 Loss_D_fake 0.020099
[542/5000][255/535][55707] Loss_D: -0.025216 Loss_G: -0.002844 Loss_D_real: -0.006406 Loss_D_fake 0.018810
[542/5000][260/535][55708] Loss_D: -0.025918 Loss_G: 0.030429 Loss_D_real: -0.021483 Loss_D_fake 0.004435
[542/5000][265/535][55709] Loss_D: -0.027524 Loss_G: 0.029038 Loss_D_real: -0.028553 Loss_D_fake -0.001029
[542/5000][270/535][55710] Loss_D: -0.026360 Loss_G: 0.027150 Loss_D_real: -0.034165 Loss_D_fake -0.007804
[542/5000][275/535][55711] Loss_D: -0.025914 Loss_G: -0.006556 Loss_D_real: -0.006971 Loss_D_fake 0.018943
[542/5000][280/535][55712] Loss_D: -0.025295 Loss_G: 0.001409 Loss_D_real: -0.009918 Loss_D_fake 0.015377
[542/5000][285/535][55713] Loss_D: -0.025422 Loss_G: 0.022766 Loss_D_real: -0.031184 Loss_D_fake -0.005762
[542/5000][290/535][55714] Loss_D: -0.026552 Loss_G: 0.021940 Loss_D_real: -0.017124 Loss_D_fake 0.009428
[542/5000][295/535][55715] Loss_D: -0.026658 Loss_G: 0.021801 Loss_D_real: -0.024994 Loss_D_fake 0.001664
[542/5000][300/535][55716] Loss_D: -0.026105 Loss_G: 0.020497 Loss_D_real: -0.019274 Loss_D_fake 0.006831
[542/5000][305/535][55717] Loss_D: -0.027219 Loss_G: 0.002366 Loss_D_real: -0.004627 Loss_D_fake 0.022592
[542/5000][310/535][55718] Loss_D: -0.025167 Loss_G: -0.004844 Loss_D_real: -0.010169 Loss_D_fake 0.014998
[542/5000][315/535][55719] Loss_D: -0.025533 Loss_G: 0.009169 Loss_D_real: -0.013783 Loss_D_fake 0.011750
[542/5000][320/535][55720] Loss_D: -0.025735 Loss_G: -0.004532 Loss_D_real: -0.007423 Loss_D_fake 0.018312
[542/5000][325/535][55721] Loss_D: -0.023141 Loss_G: 0.032515 Loss_D_real: -0.033112 Loss_D_fake -0.009971
[542/5000][330/535][55722] Loss_D: -0.026768 Loss_G: 0.008184 Loss_D_real: -0.015240 Loss_D_fake 0.011528
[542/5000][335/535][55723] Loss_D: -0.026219 Loss_G: -0.001792 Loss_D_real: -0.008704 Loss_D_fake 0.017516
[542/5000][340/535][55724] Loss_D: -0.026080 Loss_G: 0.025158 Loss_D_real: -0.024665 Loss_D_fake 0.001415
[542/5000][345/535][55725] Loss_D: -0.026099 Loss_G: 0.002845 Loss_D_real: -0.007281 Loss_D_fake 0.018819
[542/5000][350/535][55726] Loss_D: -0.024774 Loss_G: 0.002891 Loss_D_real: -0.007259 Loss_D_fake 0.017515
[542/5000][355/535][55727] Loss_D: -0.025722 Loss_G: 0.008908 Loss_D_real: -0.013668 Loss_D_fake 0.012054
[542/5000][360/535][55728] Loss_D: -0.026199 Loss_G: 0.021927 Loss_D_real: -0.022773 Loss_D_fake 0.003426
[542/5000][365/535][55729] Loss_D: -0.026783 Loss_G: -0.002677 Loss_D_real: 0.005342 Loss_D_fake 0.032125
[542/5000][370/535][55730] Loss_D: -0.024510 Loss_G: -0.004900 Loss_D_real: 0.000733 Loss_D_fake 0.025243
[542/5000][375/535][55731] Loss_D: -0.026423 Loss_G: 0.020997 Loss_D_real: -0.023344 Loss_D_fake 0.003079
[542/5000][380/535][55732] Loss_D: -0.026511 Loss_G: 0.013619 Loss_D_real: -0.018483 Loss_D_fake 0.008027
[542/5000][385/535][55733] Loss_D: -0.027061 Loss_G: 0.026605 Loss_D_real: -0.031601 Loss_D_fake -0.004541
[542/5000][390/535][55734] Loss_D: -0.025267 Loss_G: -0.000730 Loss_D_real: -0.012858 Loss_D_fake 0.012409
[542/5000][395/535][55735] Loss_D: -0.024753 Loss_G: 0.009256 Loss_D_real: -0.021711 Loss_D_fake 0.003042
[542/5000][400/535][55736] Loss_D: -0.025524 Loss_G: 0.010789 Loss_D_real: -0.011875 Loss_D_fake 0.013649
[542/5000][405/535][55737] Loss_D: -0.025211 Loss_G: 0.020903 Loss_D_real: -0.023881 Loss_D_fake 0.001331
[542/5000][410/535][55738] Loss_D: -0.025165 Loss_G: 0.000746 Loss_D_real: -0.002606 Loss_D_fake 0.022558
[542/5000][415/535][55739] Loss_D: -0.025902 Loss_G: 0.012502 Loss_D_real: -0.012406 Loss_D_fake 0.013496
[542/5000][420/535][55740] Loss_D: -0.025436 Loss_G: 0.002604 Loss_D_real: -0.013448 Loss_D_fake 0.011988
[542/5000][425/535][55741] Loss_D: -0.025331 Loss_G: 0.012547 Loss_D_real: -0.018886 Loss_D_fake 0.006445
[542/5000][430/535][55742] Loss_D: -0.027287 Loss_G: 0.008632 Loss_D_real: -0.003592 Loss_D_fake 0.023695
[542/5000][435/535][55743] Loss_D: -0.026526 Loss_G: 0.015304 Loss_D_real: -0.018393 Loss_D_fake 0.008134
[542/5000][440/535][55744] Loss_D: -0.025699 Loss_G: 0.001792 Loss_D_real: -0.005475 Loss_D_fake 0.020224
[542/5000][445/535][55745] Loss_D: -0.025725 Loss_G: -0.009671 Loss_D_real: -0.010189 Loss_D_fake 0.015536
[542/5000][450/535][55746] Loss_D: -0.025063 Loss_G: -0.000927 Loss_D_real: -0.000497 Loss_D_fake 0.024566
[542/5000][455/535][55747] Loss_D: -0.025212 Loss_G: 0.012710 Loss_D_real: -0.023277 Loss_D_fake 0.001936
[542/5000][460/535][55748] Loss_D: -0.025302 Loss_G: 0.021440 Loss_D_real: -0.033903 Loss_D_fake -0.008601
[542/5000][465/535][55749] Loss_D: -0.025214 Loss_G: 0.015440 Loss_D_real: -0.014858 Loss_D_fake 0.010355
[542/5000][470/535][55750] Loss_D: -0.025878 Loss_G: 0.016963 Loss_D_real: -0.020441 Loss_D_fake 0.005437
[542/5000][475/535][55751] Loss_D: -0.026825 Loss_G: 0.012470 Loss_D_real: -0.018834 Loss_D_fake 0.007991
[542/5000][480/535][55752] Loss_D: -0.026122 Loss_G: 0.005952 Loss_D_real: -0.021576 Loss_D_fake 0.004545
[542/5000][485/535][55753] Loss_D: -0.025962 Loss_G: 0.025956 Loss_D_real: -0.028868 Loss_D_fake -0.002906
[542/5000][490/535][55754] Loss_D: -0.024383 Loss_G: 0.018677 Loss_D_real: -0.018604 Loss_D_fake 0.005779
[542/5000][495/535][55755] Loss_D: -0.025649 Loss_G: -0.015449 Loss_D_real: 0.003809 Loss_D_fake 0.029458
[542/5000][500/535][55756] Loss_D: -0.024714 Loss_G: 0.020348 Loss_D_real: -0.028788 Loss_D_fake -0.004073
[542/5000][505/535][55757] Loss_D: -0.025082 Loss_G: 0.007591 Loss_D_real: -0.011653 Loss_D_fake 0.013429
[542/5000][510/535][55758] Loss_D: -0.024828 Loss_G: -0.015578 Loss_D_real: -0.000597 Loss_D_fake 0.024230
[542/5000][515/535][55759] Loss_D: -0.024846 Loss_G: 0.019255 Loss_D_real: -0.020923 Loss_D_fake 0.003923
[542/5000][520/535][55760] Loss_D: -0.024626 Loss_G: 0.006229 Loss_D_real: -0.009762 Loss_D_fake 0.014864
[542/5000][525/535][55761] Loss_D: -0.025541 Loss_G: 0.017659 Loss_D_real: -0.024462 Loss_D_fake 0.001079
[542/5000][530/535][55762] Loss_D: -0.025613 Loss_G: 0.017181 Loss_D_real: -0.025957 Loss_D_fake -0.000344
[542/5000][535/535][55763] Loss_D: -0.027409 Loss_G: -0.013201 Loss_D_real: -0.001812 Loss_D_fake 0.025597
[543/5000][5/535][55764] Loss_D: -0.025414 Loss_G: 0.016727 Loss_D_real: -0.021111 Loss_D_fake 0.004303
[543/5000][10/535][55765] Loss_D: -0.026014 Loss_G: 0.019775 Loss_D_real: -0.024869 Loss_D_fake 0.001145
[543/5000][15/535][55766] Loss_D: -0.026181 Loss_G: 0.027847 Loss_D_real: -0.023160 Loss_D_fake 0.003021
[543/5000][20/535][55767] Loss_D: -0.026061 Loss_G: -0.012644 Loss_D_real: -0.004966 Loss_D_fake 0.021095
[543/5000][25/535][55768] Loss_D: -0.025020 Loss_G: 0.027133 Loss_D_real: -0.031953 Loss_D_fake -0.006932
[543/5000][30/535][55769] Loss_D: -0.026120 Loss_G: -0.006991 Loss_D_real: -0.007354 Loss_D_fake 0.018767
[543/5000][35/535][55770] Loss_D: -0.027516 Loss_G: 0.008210 Loss_D_real: -0.016518 Loss_D_fake 0.010997
[543/5000][40/535][55771] Loss_D: -0.026557 Loss_G: -0.004582 Loss_D_real: -0.004901 Loss_D_fake 0.021655
[543/5000][45/535][55772] Loss_D: -0.025077 Loss_G: 0.040724 Loss_D_real: -0.029394 Loss_D_fake -0.004317
[543/5000][50/535][55773] Loss_D: -0.025423 Loss_G: 0.002641 Loss_D_real: -0.009679 Loss_D_fake 0.015743
[543/5000][55/535][55774] Loss_D: -0.027028 Loss_G: 0.003368 Loss_D_real: -0.006775 Loss_D_fake 0.020253
[543/5000][60/535][55775] Loss_D: -0.024565 Loss_G: 0.032879 Loss_D_real: -0.024828 Loss_D_fake -0.000263
[543/5000][65/535][55776] Loss_D: -0.025664 Loss_G: 0.005758 Loss_D_real: -0.012293 Loss_D_fake 0.013371
[543/5000][70/535][55777] Loss_D: -0.024675 Loss_G: 0.031907 Loss_D_real: -0.032067 Loss_D_fake -0.007393
[543/5000][75/535][55778] Loss_D: -0.026543 Loss_G: 0.006060 Loss_D_real: -0.012659 Loss_D_fake 0.013884
[543/5000][80/535][55779] Loss_D: -0.024822 Loss_G: 0.011238 Loss_D_real: -0.007952 Loss_D_fake 0.016869
[543/5000][85/535][55780] Loss_D: -0.026489 Loss_G: 0.021822 Loss_D_real: -0.029981 Loss_D_fake -0.003492
[543/5000][90/535][55781] Loss_D: -0.025855 Loss_G: 0.022751 Loss_D_real: -0.017050 Loss_D_fake 0.008806
[543/5000][95/535][55782] Loss_D: -0.026064 Loss_G: 0.023485 Loss_D_real: -0.022902 Loss_D_fake 0.003162
[543/5000][100/535][55783] Loss_D: -0.025387 Loss_G: 0.004896 Loss_D_real: -0.008492 Loss_D_fake 0.016895
[543/5000][105/535][55784] Loss_D: -0.025799 Loss_G: 0.002238 Loss_D_real: -0.006840 Loss_D_fake 0.018959
[543/5000][110/535][55785] Loss_D: -0.024255 Loss_G: 0.012226 Loss_D_real: -0.015546 Loss_D_fake 0.008709
[543/5000][115/535][55786] Loss_D: -0.025495 Loss_G: -0.000286 Loss_D_real: -0.014920 Loss_D_fake 0.010575
[543/5000][120/535][55787] Loss_D: -0.024094 Loss_G: 0.025942 Loss_D_real: -0.026972 Loss_D_fake -0.002877
[543/5000][125/535][55788] Loss_D: -0.025351 Loss_G: -0.002944 Loss_D_real: -0.005881 Loss_D_fake 0.019470
[543/5000][130/535][55789] Loss_D: -0.025133 Loss_G: -0.001272 Loss_D_real: -0.010477 Loss_D_fake 0.014657
[543/5000][135/535][55790] Loss_D: -0.023575 Loss_G: 0.024482 Loss_D_real: -0.029061 Loss_D_fake -0.005486
[543/5000][140/535][55791] Loss_D: -0.026466 Loss_G: -0.000030 Loss_D_real: -0.010454 Loss_D_fake 0.016012
[543/5000][145/535][55792] Loss_D: -0.026013 Loss_G: 0.036201 Loss_D_real: -0.028048 Loss_D_fake -0.002035
[543/5000][150/535][55793] Loss_D: -0.024805 Loss_G: -0.020776 Loss_D_real: 0.004057 Loss_D_fake 0.028862
[543/5000][155/535][55794] Loss_D: -0.024963 Loss_G: 0.015253 Loss_D_real: -0.026879 Loss_D_fake -0.001917
[543/5000][160/535][55795] Loss_D: -0.025498 Loss_G: 0.016198 Loss_D_real: -0.017365 Loss_D_fake 0.008133
[543/5000][165/535][55796] Loss_D: -0.024382 Loss_G: 0.026138 Loss_D_real: -0.025738 Loss_D_fake -0.001356
[543/5000][170/535][55797] Loss_D: -0.025578 Loss_G: 0.015555 Loss_D_real: -0.019887 Loss_D_fake 0.005691
[543/5000][175/535][55798] Loss_D: -0.026805 Loss_G: 0.031727 Loss_D_real: -0.027129 Loss_D_fake -0.000325
[543/5000][180/535][55799] Loss_D: -0.026808 Loss_G: 0.007594 Loss_D_real: -0.026218 Loss_D_fake 0.000590
[543/5000][185/535][55800] Loss_D: -0.026084 Loss_G: 0.018596 Loss_D_real: -0.020522 Loss_D_fake 0.005563
[543/5000][190/535][55801] Loss_D: -0.026332 Loss_G: 0.007142 Loss_D_real: -0.011600 Loss_D_fake 0.014733
[543/5000][195/535][55802] Loss_D: -0.024952 Loss_G: 0.020961 Loss_D_real: -0.018857 Loss_D_fake 0.006095
[543/5000][200/535][55803] Loss_D: -0.025392 Loss_G: -0.004097 Loss_D_real: -0.007511 Loss_D_fake 0.017882
[543/5000][205/535][55804] Loss_D: -0.023724 Loss_G: 0.016130 Loss_D_real: -0.016862 Loss_D_fake 0.006862
[543/5000][210/535][55805] Loss_D: -0.023055 Loss_G: 0.030690 Loss_D_real: -0.037428 Loss_D_fake -0.014373
[543/5000][215/535][55806] Loss_D: -0.026204 Loss_G: 0.018259 Loss_D_real: -0.024149 Loss_D_fake 0.002055
[543/5000][220/535][55807] Loss_D: -0.027119 Loss_G: 0.024083 Loss_D_real: -0.023105 Loss_D_fake 0.004014
[543/5000][225/535][55808] Loss_D: -0.026500 Loss_G: -0.012847 Loss_D_real: -0.006353 Loss_D_fake 0.020147
[543/5000][230/535][55809] Loss_D: -0.023516 Loss_G: 0.029922 Loss_D_real: -0.032766 Loss_D_fake -0.009250
[543/5000][235/535][55810] Loss_D: -0.025817 Loss_G: 0.023684 Loss_D_real: -0.024230 Loss_D_fake 0.001588
[543/5000][240/535][55811] Loss_D: -0.027405 Loss_G: -0.005584 Loss_D_real: -0.006551 Loss_D_fake 0.020854
[543/5000][245/535][55812] Loss_D: -0.026514 Loss_G: 0.025419 Loss_D_real: -0.034150 Loss_D_fake -0.007636
[543/5000][250/535][55813] Loss_D: -0.025858 Loss_G: 0.010311 Loss_D_real: -0.018651 Loss_D_fake 0.007206
[543/5000][255/535][55814] Loss_D: -0.025744 Loss_G: 0.021189 Loss_D_real: -0.017292 Loss_D_fake 0.008452
[543/5000][260/535][55815] Loss_D: -0.026560 Loss_G: 0.023980 Loss_D_real: -0.024924 Loss_D_fake 0.001637
[543/5000][265/535][55816] Loss_D: -0.027658 Loss_G: 0.012924 Loss_D_real: -0.019115 Loss_D_fake 0.008543
[543/5000][270/535][55817] Loss_D: -0.026631 Loss_G: 0.007617 Loss_D_real: -0.011046 Loss_D_fake 0.015585
[543/5000][275/535][55818] Loss_D: -0.025673 Loss_G: 0.018832 Loss_D_real: -0.023320 Loss_D_fake 0.002353
[543/5000][280/535][55819] Loss_D: -0.026961 Loss_G: 0.009539 Loss_D_real: -0.017307 Loss_D_fake 0.009654
[543/5000][285/535][55820] Loss_D: -0.025781 Loss_G: 0.011054 Loss_D_real: -0.016555 Loss_D_fake 0.009226
[543/5000][290/535][55821] Loss_D: -0.028491 Loss_G: 0.028292 Loss_D_real: -0.017721 Loss_D_fake 0.010770
[543/5000][295/535][55822] Loss_D: -0.026909 Loss_G: 0.021835 Loss_D_real: -0.022230 Loss_D_fake 0.004679
[543/5000][300/535][55823] Loss_D: -0.025477 Loss_G: -0.001810 Loss_D_real: -0.011197 Loss_D_fake 0.014280
[543/5000][305/535][55824] Loss_D: -0.026247 Loss_G: 0.015520 Loss_D_real: -0.023573 Loss_D_fake 0.002674
[543/5000][310/535][55825] Loss_D: -0.025989 Loss_G: 0.020712 Loss_D_real: -0.017239 Loss_D_fake 0.008751
[543/5000][315/535][55826] Loss_D: -0.027926 Loss_G: 0.003293 Loss_D_real: -0.019225 Loss_D_fake 0.008701
[543/5000][320/535][55827] Loss_D: -0.025301 Loss_G: 0.029926 Loss_D_real: -0.036852 Loss_D_fake -0.011551
[543/5000][325/535][55828] Loss_D: -0.025011 Loss_G: 0.006057 Loss_D_real: -0.004774 Loss_D_fake 0.020237
[543/5000][330/535][55829] Loss_D: -0.027445 Loss_G: 0.004097 Loss_D_real: -0.007032 Loss_D_fake 0.020412
[543/5000][335/535][55830] Loss_D: -0.025839 Loss_G: 0.004401 Loss_D_real: -0.013620 Loss_D_fake 0.012220
[543/5000][340/535][55831] Loss_D: -0.026495 Loss_G: -0.003403 Loss_D_real: -0.003556 Loss_D_fake 0.022939
[543/5000][345/535][55832] Loss_D: -0.024479 Loss_G: 0.026937 Loss_D_real: -0.026255 Loss_D_fake -0.001776
[543/5000][350/535][55833] Loss_D: -0.025995 Loss_G: 0.018713 Loss_D_real: -0.022554 Loss_D_fake 0.003440
[543/5000][355/535][55834] Loss_D: -0.026005 Loss_G: 0.019856 Loss_D_real: -0.014936 Loss_D_fake 0.011069
[543/5000][360/535][55835] Loss_D: -0.025470 Loss_G: 0.013129 Loss_D_real: -0.022648 Loss_D_fake 0.002822
[543/5000][365/535][55836] Loss_D: -0.026516 Loss_G: 0.004687 Loss_D_real: -0.009698 Loss_D_fake 0.016818
[543/5000][370/535][55837] Loss_D: -0.024536 Loss_G: 0.034776 Loss_D_real: -0.028376 Loss_D_fake -0.003841
[543/5000][375/535][55838] Loss_D: -0.025220 Loss_G: 0.000521 Loss_D_real: -0.000346 Loss_D_fake 0.024873
[543/5000][380/535][55839] Loss_D: -0.024886 Loss_G: -0.012889 Loss_D_real: -0.001305 Loss_D_fake 0.023581
[543/5000][385/535][55840] Loss_D: -0.024552 Loss_G: -0.018255 Loss_D_real: -0.002022 Loss_D_fake 0.022530
[543/5000][390/535][55841] Loss_D: -0.026059 Loss_G: 0.015195 Loss_D_real: -0.020268 Loss_D_fake 0.005791
[543/5000][395/535][55842] Loss_D: -0.024027 Loss_G: 0.030859 Loss_D_real: -0.032522 Loss_D_fake -0.008495
[543/5000][400/535][55843] Loss_D: -0.025998 Loss_G: -0.001585 Loss_D_real: -0.012032 Loss_D_fake 0.013966
[543/5000][405/535][55844] Loss_D: -0.025442 Loss_G: 0.016624 Loss_D_real: -0.030967 Loss_D_fake -0.005525
[543/5000][410/535][55845] Loss_D: -0.026188 Loss_G: 0.012912 Loss_D_real: -0.023550 Loss_D_fake 0.002638
[543/5000][415/535][55846] Loss_D: -0.025394 Loss_G: 0.032700 Loss_D_real: -0.022459 Loss_D_fake 0.002935
[543/5000][420/535][55847] Loss_D: -0.025570 Loss_G: 0.004449 Loss_D_real: -0.012787 Loss_D_fake 0.012782
[543/5000][425/535][55848] Loss_D: -0.025419 Loss_G: 0.012638 Loss_D_real: -0.019515 Loss_D_fake 0.005904
[543/5000][430/535][55849] Loss_D: -0.026093 Loss_G: 0.020433 Loss_D_real: -0.018815 Loss_D_fake 0.007278
[543/5000][435/535][55850] Loss_D: -0.026930 Loss_G: 0.016877 Loss_D_real: -0.019133 Loss_D_fake 0.007797
[543/5000][440/535][55851] Loss_D: -0.026802 Loss_G: -0.003449 Loss_D_real: -0.012704 Loss_D_fake 0.014098
[543/5000][445/535][55852] Loss_D: -0.025015 Loss_G: 0.030187 Loss_D_real: -0.030748 Loss_D_fake -0.005733
[543/5000][450/535][55853] Loss_D: -0.026336 Loss_G: -0.006464 Loss_D_real: -0.007038 Loss_D_fake 0.019299
[543/5000][455/535][55854] Loss_D: -0.025306 Loss_G: 0.027221 Loss_D_real: -0.031550 Loss_D_fake -0.006244
[543/5000][460/535][55855] Loss_D: -0.028876 Loss_G: 0.002958 Loss_D_real: -0.022851 Loss_D_fake 0.006025
[543/5000][465/535][55856] Loss_D: -0.025668 Loss_G: 0.005017 Loss_D_real: -0.020069 Loss_D_fake 0.005599
[543/5000][470/535][55857] Loss_D: -0.025801 Loss_G: 0.022095 Loss_D_real: -0.013806 Loss_D_fake 0.011995
[543/5000][475/535][55858] Loss_D: -0.025232 Loss_G: 0.013634 Loss_D_real: -0.010607 Loss_D_fake 0.014625
[543/5000][480/535][55859] Loss_D: -0.026488 Loss_G: -0.003536 Loss_D_real: -0.008057 Loss_D_fake 0.018431
[543/5000][485/535][55860] Loss_D: -0.026563 Loss_G: 0.027815 Loss_D_real: -0.019916 Loss_D_fake 0.006646
[543/5000][490/535][55861] Loss_D: -0.025464 Loss_G: -0.004664 Loss_D_real: 0.002107 Loss_D_fake 0.027571
[543/5000][495/535][55862] Loss_D: -0.024991 Loss_G: 0.008720 Loss_D_real: -0.015665 Loss_D_fake 0.009325
[543/5000][500/535][55863] Loss_D: -0.026284 Loss_G: 0.003794 Loss_D_real: -0.013949 Loss_D_fake 0.012336
[543/5000][505/535][55864] Loss_D: -0.025786 Loss_G: -0.007872 Loss_D_real: -0.011963 Loss_D_fake 0.013823
[543/5000][510/535][55865] Loss_D: -0.025599 Loss_G: 0.005458 Loss_D_real: -0.020003 Loss_D_fake 0.005596
[543/5000][515/535][55866] Loss_D: -0.025653 Loss_G: 0.020522 Loss_D_real: -0.017971 Loss_D_fake 0.007681
[543/5000][520/535][55867] Loss_D: -0.024842 Loss_G: 0.019077 Loss_D_real: -0.026645 Loss_D_fake -0.001803
[543/5000][525/535][55868] Loss_D: -0.026251 Loss_G: 0.009364 Loss_D_real: -0.010225 Loss_D_fake 0.016025
[543/5000][530/535][55869] Loss_D: -0.026510 Loss_G: 0.019227 Loss_D_real: -0.028696 Loss_D_fake -0.002186
[543/5000][535/535][55870] Loss_D: -0.027361 Loss_G: 0.013652 Loss_D_real: -0.001958 Loss_D_fake 0.025404
[544/5000][5/535][55871] Loss_D: -0.026889 Loss_G: 0.000324 Loss_D_real: -0.013806 Loss_D_fake 0.013082
[544/5000][10/535][55872] Loss_D: -0.025257 Loss_G: 0.027311 Loss_D_real: -0.023639 Loss_D_fake 0.001617
[544/5000][15/535][55873] Loss_D: -0.024525 Loss_G: 0.017100 Loss_D_real: -0.022812 Loss_D_fake 0.001713
[544/5000][20/535][55874] Loss_D: -0.025689 Loss_G: -0.011846 Loss_D_real: -0.001970 Loss_D_fake 0.023719
[544/5000][25/535][55875] Loss_D: -0.023951 Loss_G: 0.028329 Loss_D_real: -0.025820 Loss_D_fake -0.001869
[544/5000][30/535][55876] Loss_D: -0.024762 Loss_G: 0.005717 Loss_D_real: -0.008861 Loss_D_fake 0.015902
[544/5000][35/535][55877] Loss_D: -0.025664 Loss_G: 0.003744 Loss_D_real: -0.009514 Loss_D_fake 0.016150
[544/5000][40/535][55878] Loss_D: -0.025762 Loss_G: 0.011662 Loss_D_real: -0.021564 Loss_D_fake 0.004198
[544/5000][45/535][55879] Loss_D: -0.023897 Loss_G: -0.010480 Loss_D_real: -0.010623 Loss_D_fake 0.013274
[544/5000][50/535][55880] Loss_D: -0.026066 Loss_G: 0.003741 Loss_D_real: -0.009735 Loss_D_fake 0.016331
[544/5000][55/535][55881] Loss_D: -0.024093 Loss_G: -0.003588 Loss_D_real: -0.008849 Loss_D_fake 0.015244
[544/5000][60/535][55882] Loss_D: -0.025345 Loss_G: 0.019346 Loss_D_real: -0.023422 Loss_D_fake 0.001923
[544/5000][65/535][55883] Loss_D: -0.026524 Loss_G: -0.002289 Loss_D_real: -0.011776 Loss_D_fake 0.014748
[544/5000][70/535][55884] Loss_D: -0.024902 Loss_G: 0.014234 Loss_D_real: -0.011670 Loss_D_fake 0.013233
[544/5000][75/535][55885] Loss_D: -0.026148 Loss_G: 0.030697 Loss_D_real: -0.034483 Loss_D_fake -0.008335
[544/5000][80/535][55886] Loss_D: -0.026789 Loss_G: -0.005440 Loss_D_real: -0.002415 Loss_D_fake 0.024374
[544/5000][85/535][55887] Loss_D: -0.025635 Loss_G: 0.000955 Loss_D_real: -0.004978 Loss_D_fake 0.020657
[544/5000][90/535][55888] Loss_D: -0.026378 Loss_G: 0.028804 Loss_D_real: -0.023082 Loss_D_fake 0.003296
[544/5000][95/535][55889] Loss_D: -0.025864 Loss_G: 0.009759 Loss_D_real: -0.015502 Loss_D_fake 0.010362
[544/5000][100/535][55890] Loss_D: -0.025421 Loss_G: 0.016163 Loss_D_real: -0.023190 Loss_D_fake 0.002231
[544/5000][105/535][55891] Loss_D: -0.025824 Loss_G: 0.031333 Loss_D_real: -0.023691 Loss_D_fake 0.002134
[544/5000][110/535][55892] Loss_D: -0.025050 Loss_G: 0.023466 Loss_D_real: -0.009520 Loss_D_fake 0.015530
[544/5000][115/535][55893] Loss_D: -0.026257 Loss_G: -0.011319 Loss_D_real: -0.003437 Loss_D_fake 0.022820
[544/5000][120/535][55894] Loss_D: -0.024596 Loss_G: 0.029942 Loss_D_real: -0.032084 Loss_D_fake -0.007488
[544/5000][125/535][55895] Loss_D: -0.026073 Loss_G: 0.015178 Loss_D_real: -0.021490 Loss_D_fake 0.004583
[544/5000][130/535][55896] Loss_D: -0.026550 Loss_G: -0.005551 Loss_D_real: 0.000288 Loss_D_fake 0.026838
[544/5000][135/535][55897] Loss_D: -0.024645 Loss_G: 0.022161 Loss_D_real: -0.017896 Loss_D_fake 0.006749
[544/5000][140/535][55898] Loss_D: -0.025928 Loss_G: -0.002928 Loss_D_real: -0.009380 Loss_D_fake 0.016548
[544/5000][145/535][55899] Loss_D: -0.024757 Loss_G: 0.017810 Loss_D_real: -0.024173 Loss_D_fake 0.000583
[544/5000][150/535][55900] Loss_D: -0.026057 Loss_G: -0.001001 Loss_D_real: -0.009996 Loss_D_fake 0.016061
[544/5000][155/535][55901] Loss_D: -0.025685 Loss_G: 0.015626 Loss_D_real: -0.017005 Loss_D_fake 0.008680
[544/5000][160/535][55902] Loss_D: -0.026221 Loss_G: 0.011675 Loss_D_real: -0.021315 Loss_D_fake 0.004906
[544/5000][165/535][55903] Loss_D: -0.028224 Loss_G: 0.009275 Loss_D_real: -0.009578 Loss_D_fake 0.018646
[544/5000][170/535][55904] Loss_D: -0.025722 Loss_G: 0.021324 Loss_D_real: -0.026513 Loss_D_fake -0.000791
[544/5000][175/535][55905] Loss_D: -0.026168 Loss_G: 0.025444 Loss_D_real: -0.021183 Loss_D_fake 0.004985
[544/5000][180/535][55906] Loss_D: -0.026041 Loss_G: 0.012615 Loss_D_real: -0.010531 Loss_D_fake 0.015510
[544/5000][185/535][55907] Loss_D: -0.024866 Loss_G: -0.009566 Loss_D_real: -0.006345 Loss_D_fake 0.018522
[544/5000][190/535][55908] Loss_D: -0.024088 Loss_G: -0.002634 Loss_D_real: -0.015336 Loss_D_fake 0.008752
[544/5000][195/535][55909] Loss_D: -0.023340 Loss_G: 0.030335 Loss_D_real: -0.034077 Loss_D_fake -0.010738
[544/5000][200/535][55910] Loss_D: -0.024466 Loss_G: 0.015187 Loss_D_real: -0.017755 Loss_D_fake 0.006711
[544/5000][205/535][55911] Loss_D: -0.027794 Loss_G: 0.034095 Loss_D_real: -0.026525 Loss_D_fake 0.001269
[544/5000][210/535][55912] Loss_D: -0.026369 Loss_G: 0.016834 Loss_D_real: -0.011820 Loss_D_fake 0.014549
[544/5000][215/535][55913] Loss_D: -0.025480 Loss_G: 0.000072 Loss_D_real: -0.003302 Loss_D_fake 0.022178
[544/5000][220/535][55914] Loss_D: -0.026507 Loss_G: 0.001122 Loss_D_real: -0.012845 Loss_D_fake 0.013662
[544/5000][225/535][55915] Loss_D: -0.024150 Loss_G: 0.017388 Loss_D_real: -0.015406 Loss_D_fake 0.008743
[544/5000][230/535][55916] Loss_D: -0.027177 Loss_G: -0.003231 Loss_D_real: -0.007005 Loss_D_fake 0.020172
[544/5000][235/535][55917] Loss_D: -0.025985 Loss_G: 0.013571 Loss_D_real: -0.024465 Loss_D_fake 0.001520
[544/5000][240/535][55918] Loss_D: -0.026083 Loss_G: 0.000321 Loss_D_real: -0.009776 Loss_D_fake 0.016308
[544/5000][245/535][55919] Loss_D: -0.025883 Loss_G: 0.010250 Loss_D_real: -0.010683 Loss_D_fake 0.015200
[544/5000][250/535][55920] Loss_D: -0.024020 Loss_G: 0.036540 Loss_D_real: -0.040248 Loss_D_fake -0.016228
[544/5000][255/535][55921] Loss_D: -0.024757 Loss_G: -0.010890 Loss_D_real: -0.003509 Loss_D_fake 0.021247
[544/5000][260/535][55922] Loss_D: -0.025565 Loss_G: 0.015911 Loss_D_real: -0.022201 Loss_D_fake 0.003364
[544/5000][265/535][55923] Loss_D: -0.026921 Loss_G: 0.019531 Loss_D_real: -0.012842 Loss_D_fake 0.014079
[544/5000][270/535][55924] Loss_D: -0.027339 Loss_G: 0.021982 Loss_D_real: -0.026895 Loss_D_fake 0.000444
[544/5000][275/535][55925] Loss_D: -0.025384 Loss_G: 0.026461 Loss_D_real: -0.029216 Loss_D_fake -0.003832
[544/5000][280/535][55926] Loss_D: -0.024956 Loss_G: -0.007746 Loss_D_real: 0.000409 Loss_D_fake 0.025365
[544/5000][285/535][55927] Loss_D: -0.023837 Loss_G: 0.007333 Loss_D_real: -0.017148 Loss_D_fake 0.006689
[544/5000][290/535][55928] Loss_D: -0.025002 Loss_G: 0.008506 Loss_D_real: -0.011649 Loss_D_fake 0.013353
[544/5000][295/535][55929] Loss_D: -0.024909 Loss_G: -0.000308 Loss_D_real: -0.014486 Loss_D_fake 0.010423
[544/5000][300/535][55930] Loss_D: -0.026558 Loss_G: 0.026878 Loss_D_real: -0.026780 Loss_D_fake -0.000222
[544/5000][305/535][55931] Loss_D: -0.026862 Loss_G: 0.020478 Loss_D_real: -0.016465 Loss_D_fake 0.010397
[544/5000][310/535][55932] Loss_D: -0.027582 Loss_G: 0.022815 Loss_D_real: -0.024965 Loss_D_fake 0.002617
[544/5000][315/535][55933] Loss_D: -0.025454 Loss_G: 0.024903 Loss_D_real: -0.023176 Loss_D_fake 0.002278
[544/5000][320/535][55934] Loss_D: -0.025073 Loss_G: 0.012214 Loss_D_real: -0.023268 Loss_D_fake 0.001805
[544/5000][325/535][55935] Loss_D: -0.024712 Loss_G: 0.032323 Loss_D_real: -0.032223 Loss_D_fake -0.007511
[544/5000][330/535][55936] Loss_D: -0.028232 Loss_G: 0.003489 Loss_D_real: -0.011603 Loss_D_fake 0.016629
[544/5000][335/535][55937] Loss_D: -0.027149 Loss_G: 0.021360 Loss_D_real: -0.022359 Loss_D_fake 0.004790
[544/5000][340/535][55938] Loss_D: -0.027072 Loss_G: 0.009686 Loss_D_real: -0.010978 Loss_D_fake 0.016094
[544/5000][345/535][55939] Loss_D: -0.026985 Loss_G: 0.000298 Loss_D_real: 0.001157 Loss_D_fake 0.028142
[544/5000][350/535][55940] Loss_D: -0.025398 Loss_G: 0.016937 Loss_D_real: -0.027248 Loss_D_fake -0.001850
[544/5000][355/535][55941] Loss_D: -0.025833 Loss_G: 0.026280 Loss_D_real: -0.031959 Loss_D_fake -0.006126
[544/5000][360/535][55942] Loss_D: -0.027157 Loss_G: 0.014626 Loss_D_real: -0.023401 Loss_D_fake 0.003757
[544/5000][365/535][55943] Loss_D: -0.025287 Loss_G: -0.020269 Loss_D_real: 0.002043 Loss_D_fake 0.027330
[544/5000][370/535][55944] Loss_D: -0.025531 Loss_G: 0.010915 Loss_D_real: -0.007764 Loss_D_fake 0.017767
[544/5000][375/535][55945] Loss_D: -0.026401 Loss_G: -0.004497 Loss_D_real: -0.003757 Loss_D_fake 0.022643
[544/5000][380/535][55946] Loss_D: -0.026610 Loss_G: 0.020216 Loss_D_real: -0.022550 Loss_D_fake 0.004060
[544/5000][385/535][55947] Loss_D: -0.025440 Loss_G: 0.012456 Loss_D_real: -0.010983 Loss_D_fake 0.014457
[544/5000][390/535][55948] Loss_D: -0.025118 Loss_G: 0.023611 Loss_D_real: -0.019556 Loss_D_fake 0.005562
[544/5000][395/535][55949] Loss_D: -0.026312 Loss_G: 0.011025 Loss_D_real: -0.015133 Loss_D_fake 0.011179
[544/5000][400/535][55950] Loss_D: -0.025645 Loss_G: 0.028169 Loss_D_real: -0.036152 Loss_D_fake -0.010507
[544/5000][405/535][55951] Loss_D: -0.026632 Loss_G: 0.017657 Loss_D_real: -0.021200 Loss_D_fake 0.005432
[544/5000][410/535][55952] Loss_D: -0.027000 Loss_G: 0.003290 Loss_D_real: -0.013022 Loss_D_fake 0.013978
[544/5000][415/535][55953] Loss_D: -0.025934 Loss_G: 0.020991 Loss_D_real: -0.029605 Loss_D_fake -0.003670
[544/5000][420/535][55954] Loss_D: -0.026602 Loss_G: 0.004882 Loss_D_real: -0.011274 Loss_D_fake 0.015327
[544/5000][425/535][55955] Loss_D: -0.025734 Loss_G: 0.014820 Loss_D_real: -0.019805 Loss_D_fake 0.005929
[544/5000][430/535][55956] Loss_D: -0.025391 Loss_G: 0.024816 Loss_D_real: -0.024435 Loss_D_fake 0.000957
[544/5000][435/535][55957] Loss_D: -0.026469 Loss_G: 0.016722 Loss_D_real: -0.020040 Loss_D_fake 0.006430
[544/5000][440/535][55958] Loss_D: -0.026542 Loss_G: 0.022672 Loss_D_real: -0.018338 Loss_D_fake 0.008205
[544/5000][445/535][55959] Loss_D: -0.027073 Loss_G: 0.004629 Loss_D_real: -0.012390 Loss_D_fake 0.014683
[544/5000][450/535][55960] Loss_D: -0.024889 Loss_G: 0.015826 Loss_D_real: -0.026663 Loss_D_fake -0.001774
[544/5000][455/535][55961] Loss_D: -0.025988 Loss_G: 0.026981 Loss_D_real: -0.020035 Loss_D_fake 0.005953
[544/5000][460/535][55962] Loss_D: -0.027400 Loss_G: 0.005374 Loss_D_real: -0.004999 Loss_D_fake 0.022401
[544/5000][465/535][55963] Loss_D: -0.024861 Loss_G: 0.017772 Loss_D_real: -0.021929 Loss_D_fake 0.002933
[544/5000][470/535][55964] Loss_D: -0.028221 Loss_G: 0.005943 Loss_D_real: -0.019032 Loss_D_fake 0.009190
[544/5000][475/535][55965] Loss_D: -0.024704 Loss_G: -0.012105 Loss_D_real: 0.003954 Loss_D_fake 0.028658
[544/5000][480/535][55966] Loss_D: -0.025732 Loss_G: 0.027135 Loss_D_real: -0.023320 Loss_D_fake 0.002412
[544/5000][485/535][55967] Loss_D: -0.024548 Loss_G: -0.014073 Loss_D_real: 0.000108 Loss_D_fake 0.024656
[544/5000][490/535][55968] Loss_D: -0.025897 Loss_G: 0.027037 Loss_D_real: -0.034836 Loss_D_fake -0.008940
[544/5000][495/535][55969] Loss_D: -0.023374 Loss_G: -0.022442 Loss_D_real: 0.005750 Loss_D_fake 0.029124
[544/5000][500/535][55970] Loss_D: -0.025189 Loss_G: 0.042935 Loss_D_real: -0.027512 Loss_D_fake -0.002322
[544/5000][505/535][55971] Loss_D: -0.024468 Loss_G: 0.005389 Loss_D_real: -0.021161 Loss_D_fake 0.003307
[544/5000][510/535][55972] Loss_D: -0.025487 Loss_G: 0.023293 Loss_D_real: -0.025191 Loss_D_fake 0.000296
[544/5000][515/535][55973] Loss_D: -0.026304 Loss_G: 0.023542 Loss_D_real: -0.023203 Loss_D_fake 0.003101
[544/5000][520/535][55974] Loss_D: -0.027248 Loss_G: 0.028837 Loss_D_real: -0.027126 Loss_D_fake 0.000122
[544/5000][525/535][55975] Loss_D: -0.026391 Loss_G: 0.008615 Loss_D_real: -0.005619 Loss_D_fake 0.020772
[544/5000][530/535][55976] Loss_D: -0.025766 Loss_G: 0.010651 Loss_D_real: -0.011682 Loss_D_fake 0.014084
[544/5000][535/535][55977] Loss_D: -0.027510 Loss_G: 0.026025 Loss_D_real: -0.009327 Loss_D_fake 0.018183
[545/5000][5/535][55978] Loss_D: -0.025510 Loss_G: -0.004975 Loss_D_real: -0.004392 Loss_D_fake 0.021117
[545/5000][10/535][55979] Loss_D: -0.026040 Loss_G: 0.017784 Loss_D_real: -0.031136 Loss_D_fake -0.005096
[545/5000][15/535][55980] Loss_D: -0.026833 Loss_G: -0.009713 Loss_D_real: -0.004061 Loss_D_fake 0.022772
[545/5000][20/535][55981] Loss_D: -0.026350 Loss_G: 0.026800 Loss_D_real: -0.031477 Loss_D_fake -0.005126
[545/5000][25/535][55982] Loss_D: -0.026298 Loss_G: 0.012689 Loss_D_real: -0.024296 Loss_D_fake 0.002001
[545/5000][30/535][55983] Loss_D: -0.026045 Loss_G: 0.001950 Loss_D_real: 0.001222 Loss_D_fake 0.027267
[545/5000][35/535][55984] Loss_D: -0.025166 Loss_G: 0.024760 Loss_D_real: -0.022940 Loss_D_fake 0.002226
[545/5000][40/535][55985] Loss_D: -0.025953 Loss_G: 0.001681 Loss_D_real: -0.008638 Loss_D_fake 0.017315
[545/5000][45/535][55986] Loss_D: -0.024890 Loss_G: 0.023180 Loss_D_real: -0.024302 Loss_D_fake 0.000588
[545/5000][50/535][55987] Loss_D: -0.025857 Loss_G: 0.017313 Loss_D_real: -0.016089 Loss_D_fake 0.009768
[545/5000][55/535][55988] Loss_D: -0.025332 Loss_G: 0.001757 Loss_D_real: -0.007897 Loss_D_fake 0.017435
[545/5000][60/535][55989] Loss_D: -0.024899 Loss_G: 0.020214 Loss_D_real: -0.025353 Loss_D_fake -0.000454
[545/5000][65/535][55990] Loss_D: -0.025081 Loss_G: 0.013121 Loss_D_real: -0.020024 Loss_D_fake 0.005057
[545/5000][70/535][55991] Loss_D: -0.025394 Loss_G: 0.017426 Loss_D_real: -0.020571 Loss_D_fake 0.004823
[545/5000][75/535][55992] Loss_D: -0.026193 Loss_G: 0.001886 Loss_D_real: -0.017558 Loss_D_fake 0.008635
[545/5000][80/535][55993] Loss_D: -0.027712 Loss_G: 0.017714 Loss_D_real: -0.015403 Loss_D_fake 0.012309
[545/5000][85/535][55994] Loss_D: -0.027837 Loss_G: 0.009656 Loss_D_real: -0.016304 Loss_D_fake 0.011533
[545/5000][90/535][55995] Loss_D: -0.026464 Loss_G: 0.017278 Loss_D_real: -0.017252 Loss_D_fake 0.009212
[545/5000][95/535][55996] Loss_D: -0.027758 Loss_G: 0.018871 Loss_D_real: -0.007664 Loss_D_fake 0.020095
[545/5000][100/535][55997] Loss_D: -0.026876 Loss_G: -0.008430 Loss_D_real: 0.001139 Loss_D_fake 0.028015
[545/5000][105/535][55998] Loss_D: -0.027773 Loss_G: 0.017594 Loss_D_real: -0.023489 Loss_D_fake 0.004284
[545/5000][110/535][55999] Loss_D: -0.026096 Loss_G: 0.029633 Loss_D_real: -0.030066 Loss_D_fake -0.003970
[545/5000][115/535][56000] Loss_D: -0.025767 Loss_G: 0.000414 Loss_D_real: -0.010056 Loss_D_fake 0.015711
[545/5000][215/535][56001] Loss_D: -0.028622 Loss_G: 0.016685 Loss_D_real: -0.035740 Loss_D_fake -0.007118
[545/5000][220/535][56002] Loss_D: -0.026083 Loss_G: 0.030463 Loss_D_real: -0.018403 Loss_D_fake 0.007680
[545/5000][225/535][56003] Loss_D: -0.024732 Loss_G: 0.019753 Loss_D_real: -0.024420 Loss_D_fake 0.000311
[545/5000][230/535][56004] Loss_D: -0.025255 Loss_G: 0.019807 Loss_D_real: -0.026215 Loss_D_fake -0.000960
[545/5000][235/535][56005] Loss_D: -0.023963 Loss_G: 0.001818 Loss_D_real: -0.004473 Loss_D_fake 0.019490
[545/5000][240/535][56006] Loss_D: -0.024364 Loss_G: 0.003231 Loss_D_real: -0.010175 Loss_D_fake 0.014189
[545/5000][245/535][56007] Loss_D: -0.023569 Loss_G: 0.028707 Loss_D_real: -0.021244 Loss_D_fake 0.002325
[545/5000][250/535][56008] Loss_D: -0.024294 Loss_G: -0.005199 Loss_D_real: -0.013725 Loss_D_fake 0.010570
[545/5000][255/535][56009] Loss_D: -0.024008 Loss_G: 0.012550 Loss_D_real: -0.005152 Loss_D_fake 0.018857
[545/5000][260/535][56010] Loss_D: -0.025461 Loss_G: 0.018470 Loss_D_real: -0.022033 Loss_D_fake 0.003428
[545/5000][265/535][56011] Loss_D: -0.026111 Loss_G: -0.003910 Loss_D_real: -0.012659 Loss_D_fake 0.013452
[545/5000][270/535][56012] Loss_D: -0.025735 Loss_G: 0.005881 Loss_D_real: -0.017271 Loss_D_fake 0.008463
[545/5000][275/535][56013] Loss_D: -0.024086 Loss_G: 0.009074 Loss_D_real: -0.012201 Loss_D_fake 0.011885
[545/5000][280/535][56014] Loss_D: -0.024702 Loss_G: -0.003956 Loss_D_real: -0.010611 Loss_D_fake 0.014091
[545/5000][285/535][56015] Loss_D: -0.024713 Loss_G: 0.019877 Loss_D_real: -0.025860 Loss_D_fake -0.001147
[545/5000][290/535][56016] Loss_D: -0.026458 Loss_G: 0.010663 Loss_D_real: -0.019331 Loss_D_fake 0.007127
[545/5000][295/535][56017] Loss_D: -0.025367 Loss_G: 0.006250 Loss_D_real: -0.010210 Loss_D_fake 0.015157
[545/5000][300/535][56018] Loss_D: -0.026372 Loss_G: 0.001415 Loss_D_real: -0.006303 Loss_D_fake 0.020069
[545/5000][305/535][56019] Loss_D: -0.026030 Loss_G: -0.002430 Loss_D_real: -0.009713 Loss_D_fake 0.016317
[545/5000][310/535][56020] Loss_D: -0.027033 Loss_G: 0.018407 Loss_D_real: -0.018428 Loss_D_fake 0.008605
[545/5000][315/535][56021] Loss_D: -0.024438 Loss_G: 0.018062 Loss_D_real: -0.025150 Loss_D_fake -0.000711
[545/5000][320/535][56022] Loss_D: -0.026035 Loss_G: -0.005560 Loss_D_real: -0.007092 Loss_D_fake 0.018943
[545/5000][325/535][56023] Loss_D: -0.024397 Loss_G: 0.005645 Loss_D_real: -0.021595 Loss_D_fake 0.002802
[545/5000][330/535][56024] Loss_D: -0.025278 Loss_G: 0.024922 Loss_D_real: -0.042429 Loss_D_fake -0.017150
[545/5000][335/535][56025] Loss_D: -0.025388 Loss_G: 0.027132 Loss_D_real: -0.033601 Loss_D_fake -0.008213
[545/5000][340/535][56026] Loss_D: -0.025572 Loss_G: 0.006851 Loss_D_real: -0.007382 Loss_D_fake 0.018190
[545/5000][345/535][56027] Loss_D: -0.027112 Loss_G: 0.032159 Loss_D_real: -0.026166 Loss_D_fake 0.000946
[545/5000][350/535][56028] Loss_D: -0.025132 Loss_G: 0.000069 Loss_D_real: -0.001817 Loss_D_fake 0.023315
[545/5000][355/535][56029] Loss_D: -0.024850 Loss_G: 0.019310 Loss_D_real: -0.018313 Loss_D_fake 0.006537
[545/5000][360/535][56030] Loss_D: -0.025447 Loss_G: 0.005109 Loss_D_real: -0.005464 Loss_D_fake 0.019984
[545/5000][365/535][56031] Loss_D: -0.024380 Loss_G: 0.020488 Loss_D_real: -0.026390 Loss_D_fake -0.002011
[545/5000][370/535][56032] Loss_D: -0.025690 Loss_G: 0.014103 Loss_D_real: -0.009028 Loss_D_fake 0.016662
[545/5000][375/535][56033] Loss_D: -0.025650 Loss_G: 0.035356 Loss_D_real: -0.032555 Loss_D_fake -0.006905
[545/5000][380/535][56034] Loss_D: -0.024615 Loss_G: 0.007370 Loss_D_real: -0.009908 Loss_D_fake 0.014708
[545/5000][385/535][56035] Loss_D: -0.024950 Loss_G: 0.016572 Loss_D_real: -0.027858 Loss_D_fake -0.002909
[545/5000][390/535][56036] Loss_D: -0.024533 Loss_G: 0.007351 Loss_D_real: -0.022079 Loss_D_fake 0.002454
[545/5000][395/535][56037] Loss_D: -0.025456 Loss_G: 0.022914 Loss_D_real: -0.018138 Loss_D_fake 0.007318
[545/5000][400/535][56038] Loss_D: -0.026513 Loss_G: 0.028846 Loss_D_real: -0.023566 Loss_D_fake 0.002947
[545/5000][405/535][56039] Loss_D: -0.026428 Loss_G: 0.018399 Loss_D_real: -0.012107 Loss_D_fake 0.014321
[545/5000][410/535][56040] Loss_D: -0.025934 Loss_G: -0.006611 Loss_D_real: -0.011296 Loss_D_fake 0.014638
[545/5000][415/535][56041] Loss_D: -0.025932 Loss_G: 0.025711 Loss_D_real: -0.027826 Loss_D_fake -0.001894
[545/5000][420/535][56042] Loss_D: -0.026465 Loss_G: 0.019302 Loss_D_real: -0.019109 Loss_D_fake 0.007357
[545/5000][425/535][56043] Loss_D: -0.026751 Loss_G: -0.006686 Loss_D_real: -0.011909 Loss_D_fake 0.014842
[545/5000][430/535][56044] Loss_D: -0.026249 Loss_G: 0.015508 Loss_D_real: -0.015593 Loss_D_fake 0.010656
[545/5000][435/535][56045] Loss_D: -0.025421 Loss_G: 0.026924 Loss_D_real: -0.028010 Loss_D_fake -0.002589
[545/5000][440/535][56046] Loss_D: -0.026336 Loss_G: 0.001308 Loss_D_real: -0.017473 Loss_D_fake 0.008864
[545/5000][445/535][56047] Loss_D: -0.025982 Loss_G: 0.000927 Loss_D_real: -0.003734 Loss_D_fake 0.022248
[545/5000][450/535][56048] Loss_D: -0.025603 Loss_G: 0.003912 Loss_D_real: -0.008535 Loss_D_fake 0.017068
[545/5000][455/535][56049] Loss_D: -0.025565 Loss_G: 0.027557 Loss_D_real: -0.026707 Loss_D_fake -0.001142
[545/5000][460/535][56050] Loss_D: -0.024920 Loss_G: -0.000847 Loss_D_real: -0.007553 Loss_D_fake 0.017367
[545/5000][465/535][56051] Loss_D: -0.025706 Loss_G: 0.029064 Loss_D_real: -0.032266 Loss_D_fake -0.006559
[545/5000][470/535][56052] Loss_D: -0.025209 Loss_G: 0.010594 Loss_D_real: -0.017864 Loss_D_fake 0.007345
[545/5000][475/535][56053] Loss_D: -0.025720 Loss_G: 0.001341 Loss_D_real: 0.003020 Loss_D_fake 0.028740
[545/5000][480/535][56054] Loss_D: -0.025050 Loss_G: 0.025627 Loss_D_real: -0.028870 Loss_D_fake -0.003821
[545/5000][485/535][56055] Loss_D: -0.027887 Loss_G: 0.013080 Loss_D_real: -0.010919 Loss_D_fake 0.016968
[545/5000][490/535][56056] Loss_D: -0.024704 Loss_G: 0.024342 Loss_D_real: -0.024292 Loss_D_fake 0.000411
[545/5000][495/535][56057] Loss_D: -0.026642 Loss_G: 0.003905 Loss_D_real: -0.017634 Loss_D_fake 0.009008
[545/5000][500/535][56058] Loss_D: -0.025985 Loss_G: 0.010970 Loss_D_real: -0.015390 Loss_D_fake 0.010595
[545/5000][505/535][56059] Loss_D: -0.027455 Loss_G: 0.029802 Loss_D_real: -0.019894 Loss_D_fake 0.007561
[545/5000][510/535][56060] Loss_D: -0.025695 Loss_G: 0.001154 Loss_D_real: -0.012810 Loss_D_fake 0.012885
[545/5000][515/535][56061] Loss_D: -0.024307 Loss_G: 0.023716 Loss_D_real: -0.024284 Loss_D_fake 0.000024
[545/5000][520/535][56062] Loss_D: -0.025225 Loss_G: -0.002278 Loss_D_real: -0.000292 Loss_D_fake 0.024933
[545/5000][525/535][56063] Loss_D: -0.024187 Loss_G: 0.023211 Loss_D_real: -0.033303 Loss_D_fake -0.009116
[545/5000][530/535][56064] Loss_D: -0.025545 Loss_G: 0.016394 Loss_D_real: -0.027842 Loss_D_fake -0.002297
[545/5000][535/535][56065] Loss_D: -0.026909 Loss_G: 0.008117 Loss_D_real: -0.033632 Loss_D_fake -0.006723
[546/5000][5/535][56066] Loss_D: -0.026419 Loss_G: 0.004743 Loss_D_real: -0.017503 Loss_D_fake 0.008915
[546/5000][10/535][56067] Loss_D: -0.024815 Loss_G: 0.036577 Loss_D_real: -0.028450 Loss_D_fake -0.003635
[546/5000][15/535][56068] Loss_D: -0.024530 Loss_G: 0.027100 Loss_D_real: -0.037298 Loss_D_fake -0.012769
[546/5000][20/535][56069] Loss_D: -0.027429 Loss_G: 0.014684 Loss_D_real: -0.017643 Loss_D_fake 0.009786
[546/5000][25/535][56070] Loss_D: -0.027169 Loss_G: 0.006149 Loss_D_real: -0.006603 Loss_D_fake 0.020566
[546/5000][30/535][56071] Loss_D: -0.025572 Loss_G: 0.024579 Loss_D_real: -0.021782 Loss_D_fake 0.003790
[546/5000][35/535][56072] Loss_D: -0.025219 Loss_G: -0.006664 Loss_D_real: 0.005016 Loss_D_fake 0.030235
[546/5000][40/535][56073] Loss_D: -0.024701 Loss_G: 0.025569 Loss_D_real: -0.030271 Loss_D_fake -0.005569
[546/5000][45/535][56074] Loss_D: -0.028214 Loss_G: 0.008073 Loss_D_real: -0.017608 Loss_D_fake 0.010606
[546/5000][50/535][56075] Loss_D: -0.026695 Loss_G: 0.010891 Loss_D_real: -0.026960 Loss_D_fake -0.000266
[546/5000][55/535][56076] Loss_D: -0.025798 Loss_G: 0.023899 Loss_D_real: -0.020879 Loss_D_fake 0.004919
[546/5000][60/535][56077] Loss_D: -0.025359 Loss_G: 0.027251 Loss_D_real: -0.035175 Loss_D_fake -0.009816
[546/5000][65/535][56078] Loss_D: -0.026201 Loss_G: -0.016320 Loss_D_real: -0.006315 Loss_D_fake 0.019886
[546/5000][70/535][56079] Loss_D: -0.024882 Loss_G: 0.007888 Loss_D_real: -0.021505 Loss_D_fake 0.003377
[546/5000][75/535][56080] Loss_D: -0.026105 Loss_G: 0.027052 Loss_D_real: -0.026453 Loss_D_fake -0.000348
[546/5000][80/535][56081] Loss_D: -0.026638 Loss_G: 0.009005 Loss_D_real: -0.019668 Loss_D_fake 0.006970
[546/5000][85/535][56082] Loss_D: -0.025843 Loss_G: 0.008845 Loss_D_real: -0.014608 Loss_D_fake 0.011235
[546/5000][90/535][56083] Loss_D: -0.026327 Loss_G: 0.026616 Loss_D_real: -0.027531 Loss_D_fake -0.001203
[546/5000][95/535][56084] Loss_D: -0.024831 Loss_G: 0.020617 Loss_D_real: -0.030615 Loss_D_fake -0.005784
[546/5000][100/535][56085] Loss_D: -0.026306 Loss_G: 0.004318 Loss_D_real: -0.021014 Loss_D_fake 0.005292
[546/5000][105/535][56086] Loss_D: -0.024855 Loss_G: 0.015299 Loss_D_real: -0.021198 Loss_D_fake 0.003657
[546/5000][110/535][56087] Loss_D: -0.026463 Loss_G: 0.004109 Loss_D_real: -0.011514 Loss_D_fake 0.014949
[546/5000][115/535][56088] Loss_D: -0.026827 Loss_G: 0.005411 Loss_D_real: -0.016152 Loss_D_fake 0.010675
[546/5000][120/535][56089] Loss_D: -0.026227 Loss_G: 0.009694 Loss_D_real: -0.014491 Loss_D_fake 0.011736
[546/5000][125/535][56090] Loss_D: -0.025825 Loss_G: 0.008446 Loss_D_real: -0.011749 Loss_D_fake 0.014076
[546/5000][130/535][56091] Loss_D: -0.027301 Loss_G: 0.028460 Loss_D_real: -0.029785 Loss_D_fake -0.002485
[546/5000][135/535][56092] Loss_D: -0.023841 Loss_G: -0.012968 Loss_D_real: 0.005189 Loss_D_fake 0.029030
[546/5000][140/535][56093] Loss_D: -0.024853 Loss_G: 0.025793 Loss_D_real: -0.028094 Loss_D_fake -0.003241
[546/5000][145/535][56094] Loss_D: -0.025327 Loss_G: 0.013212 Loss_D_real: -0.002529 Loss_D_fake 0.022798
[546/5000][150/535][56095] Loss_D: -0.026005 Loss_G: 0.014283 Loss_D_real: -0.019569 Loss_D_fake 0.006437
[546/5000][155/535][56096] Loss_D: -0.023876 Loss_G: 0.031197 Loss_D_real: -0.031518 Loss_D_fake -0.007642
[546/5000][160/535][56097] Loss_D: -0.025584 Loss_G: 0.002349 Loss_D_real: -0.001921 Loss_D_fake 0.023663
[546/5000][165/535][56098] Loss_D: -0.024619 Loss_G: 0.004666 Loss_D_real: -0.006298 Loss_D_fake 0.018321
[546/5000][170/535][56099] Loss_D: -0.026698 Loss_G: 0.011230 Loss_D_real: -0.015555 Loss_D_fake 0.011143
[546/5000][175/535][56100] Loss_D: -0.024800 Loss_G: 0.018888 Loss_D_real: -0.018109 Loss_D_fake 0.006691
[546/5000][180/535][56101] Loss_D: -0.027379 Loss_G: -0.003942 Loss_D_real: -0.001375 Loss_D_fake 0.026004
[546/5000][185/535][56102] Loss_D: -0.024347 Loss_G: 0.008581 Loss_D_real: -0.015067 Loss_D_fake 0.009279
[546/5000][190/535][56103] Loss_D: -0.027187 Loss_G: 0.031876 Loss_D_real: -0.027483 Loss_D_fake -0.000296
[546/5000][195/535][56104] Loss_D: -0.027454 Loss_G: 0.030336 Loss_D_real: -0.023211 Loss_D_fake 0.004244
[546/5000][200/535][56105] Loss_D: -0.025255 Loss_G: -0.010033 Loss_D_real: -0.007362 Loss_D_fake 0.017893
[546/5000][205/535][56106] Loss_D: -0.025087 Loss_G: 0.024316 Loss_D_real: -0.035175 Loss_D_fake -0.010088
[546/5000][210/535][56107] Loss_D: -0.026233 Loss_G: 0.034914 Loss_D_real: -0.030441 Loss_D_fake -0.004207
[546/5000][215/535][56108] Loss_D: -0.026574 Loss_G: 0.000969 Loss_D_real: -0.011309 Loss_D_fake 0.015265
[546/5000][220/535][56109] Loss_D: -0.026358 Loss_G: -0.004332 Loss_D_real: -0.002678 Loss_D_fake 0.023681
[546/5000][225/535][56110] Loss_D: -0.026862 Loss_G: 0.013602 Loss_D_real: -0.015572 Loss_D_fake 0.011290
[546/5000][230/535][56111] Loss_D: -0.025562 Loss_G: 0.029839 Loss_D_real: -0.034770 Loss_D_fake -0.009208
[546/5000][235/535][56112] Loss_D: -0.028290 Loss_G: 0.013136 Loss_D_real: -0.010164 Loss_D_fake 0.018126
[546/5000][240/535][56113] Loss_D: -0.025041 Loss_G: -0.001695 Loss_D_real: -0.013552 Loss_D_fake 0.011489
[546/5000][245/535][56114] Loss_D: -0.027149 Loss_G: -0.003848 Loss_D_real: -0.010569 Loss_D_fake 0.016580
[546/5000][250/535][56115] Loss_D: -0.025993 Loss_G: 0.003013 Loss_D_real: -0.013924 Loss_D_fake 0.012069
[546/5000][255/535][56116] Loss_D: -0.027131 Loss_G: 0.019737 Loss_D_real: -0.017336 Loss_D_fake 0.009795
[546/5000][260/535][56117] Loss_D: -0.026217 Loss_G: 0.002894 Loss_D_real: -0.021268 Loss_D_fake 0.004950
[546/5000][265/535][56118] Loss_D: -0.025451 Loss_G: 0.019367 Loss_D_real: -0.028043 Loss_D_fake -0.002592
[546/5000][270/535][56119] Loss_D: -0.024238 Loss_G: 0.037566 Loss_D_real: -0.033167 Loss_D_fake -0.008929
[546/5000][275/535][56120] Loss_D: -0.025033 Loss_G: 0.020977 Loss_D_real: -0.023031 Loss_D_fake 0.002002
[546/5000][280/535][56121] Loss_D: -0.025657 Loss_G: 0.012767 Loss_D_real: -0.012713 Loss_D_fake 0.012944
[546/5000][285/535][56122] Loss_D: -0.024586 Loss_G: -0.005435 Loss_D_real: -0.009318 Loss_D_fake 0.015268
[546/5000][290/535][56123] Loss_D: -0.025835 Loss_G: 0.014884 Loss_D_real: -0.015876 Loss_D_fake 0.009958
[546/5000][295/535][56124] Loss_D: -0.025948 Loss_G: 0.016154 Loss_D_real: -0.026070 Loss_D_fake -0.000122
[546/5000][300/535][56125] Loss_D: -0.023544 Loss_G: -0.004625 Loss_D_real: 0.009229 Loss_D_fake 0.032772
[546/5000][305/535][56126] Loss_D: -0.025133 Loss_G: 0.037062 Loss_D_real: -0.022398 Loss_D_fake 0.002736
[546/5000][310/535][56127] Loss_D: -0.025999 Loss_G: -0.007269 Loss_D_real: -0.002610 Loss_D_fake 0.023389
[546/5000][315/535][56128] Loss_D: -0.026873 Loss_G: 0.014899 Loss_D_real: -0.023961 Loss_D_fake 0.002913
[546/5000][320/535][56129] Loss_D: -0.026927 Loss_G: 0.021493 Loss_D_real: -0.029434 Loss_D_fake -0.002506
[546/5000][325/535][56130] Loss_D: -0.025954 Loss_G: 0.021619 Loss_D_real: -0.022468 Loss_D_fake 0.003486
[546/5000][330/535][56131] Loss_D: -0.026218 Loss_G: 0.023324 Loss_D_real: -0.033497 Loss_D_fake -0.007280
[546/5000][335/535][56132] Loss_D: -0.025745 Loss_G: 0.013548 Loss_D_real: -0.014965 Loss_D_fake 0.010780
[546/5000][340/535][56133] Loss_D: -0.024674 Loss_G: 0.032951 Loss_D_real: -0.037386 Loss_D_fake -0.012712
[546/5000][345/535][56134] Loss_D: -0.027084 Loss_G: 0.016441 Loss_D_real: -0.012221 Loss_D_fake 0.014863
[546/5000][350/535][56135] Loss_D: -0.025876 Loss_G: -0.001820 Loss_D_real: -0.006040 Loss_D_fake 0.019837
[546/5000][355/535][56136] Loss_D: -0.025899 Loss_G: 0.021996 Loss_D_real: -0.018966 Loss_D_fake 0.006933
[546/5000][360/535][56137] Loss_D: -0.026816 Loss_G: 0.016941 Loss_D_real: -0.011523 Loss_D_fake 0.015293
[546/5000][365/535][56138] Loss_D: -0.024667 Loss_G: 0.035581 Loss_D_real: -0.031258 Loss_D_fake -0.006591
[546/5000][370/535][56139] Loss_D: -0.026394 Loss_G: 0.028922 Loss_D_real: -0.017245 Loss_D_fake 0.009148
[546/5000][375/535][56140] Loss_D: -0.025270 Loss_G: 0.006587 Loss_D_real: -0.015812 Loss_D_fake 0.009459
[546/5000][380/535][56141] Loss_D: -0.024931 Loss_G: 0.017615 Loss_D_real: -0.027368 Loss_D_fake -0.002437
[546/5000][385/535][56142] Loss_D: -0.025764 Loss_G: -0.000137 Loss_D_real: -0.007578 Loss_D_fake 0.018185
[546/5000][390/535][56143] Loss_D: -0.026007 Loss_G: 0.012516 Loss_D_real: -0.016562 Loss_D_fake 0.009445
[546/5000][395/535][56144] Loss_D: -0.024953 Loss_G: 0.032914 Loss_D_real: -0.031974 Loss_D_fake -0.007021
[546/5000][400/535][56145] Loss_D: -0.025450 Loss_G: 0.004034 Loss_D_real: -0.014887 Loss_D_fake 0.010563
[546/5000][405/535][56146] Loss_D: -0.025659 Loss_G: 0.027993 Loss_D_real: -0.022693 Loss_D_fake 0.002965
[546/5000][410/535][56147] Loss_D: -0.024941 Loss_G: 0.022034 Loss_D_real: -0.032906 Loss_D_fake -0.007964
[546/5000][415/535][56148] Loss_D: -0.026499 Loss_G: 0.018077 Loss_D_real: -0.018140 Loss_D_fake 0.008360
[546/5000][420/535][56149] Loss_D: -0.026919 Loss_G: 0.016489 Loss_D_real: -0.013418 Loss_D_fake 0.013501
[546/5000][425/535][56150] Loss_D: -0.026491 Loss_G: 0.026839 Loss_D_real: -0.022530 Loss_D_fake 0.003962
[546/5000][430/535][56151] Loss_D: -0.025442 Loss_G: 0.005793 Loss_D_real: -0.016147 Loss_D_fake 0.009294
[546/5000][435/535][56152] Loss_D: -0.025366 Loss_G: 0.018471 Loss_D_real: -0.020923 Loss_D_fake 0.004443
[546/5000][440/535][56153] Loss_D: -0.025039 Loss_G: -0.004931 Loss_D_real: -0.004699 Loss_D_fake 0.020339
[546/5000][445/535][56154] Loss_D: -0.026210 Loss_G: 0.018451 Loss_D_real: -0.023879 Loss_D_fake 0.002330
[546/5000][450/535][56155] Loss_D: -0.024913 Loss_G: 0.033891 Loss_D_real: -0.025029 Loss_D_fake -0.000116
[546/5000][455/535][56156] Loss_D: -0.027048 Loss_G: 0.009685 Loss_D_real: -0.012581 Loss_D_fake 0.014466
[546/5000][460/535][56157] Loss_D: -0.024809 Loss_G: 0.026365 Loss_D_real: -0.019184 Loss_D_fake 0.005624
[546/5000][465/535][56158] Loss_D: -0.024816 Loss_G: 0.015883 Loss_D_real: -0.023030 Loss_D_fake 0.001786
[546/5000][470/535][56159] Loss_D: -0.026082 Loss_G: 0.009891 Loss_D_real: -0.018569 Loss_D_fake 0.007513
[546/5000][475/535][56160] Loss_D: -0.025471 Loss_G: 0.018196 Loss_D_real: -0.026557 Loss_D_fake -0.001085
[546/5000][480/535][56161] Loss_D: -0.025206 Loss_G: 0.012157 Loss_D_real: -0.014997 Loss_D_fake 0.010209
[546/5000][485/535][56162] Loss_D: -0.024981 Loss_G: 0.037993 Loss_D_real: -0.031569 Loss_D_fake -0.006587
[546/5000][490/535][56163] Loss_D: -0.024927 Loss_G: -0.011332 Loss_D_real: 0.002376 Loss_D_fake 0.027303
[546/5000][495/535][56164] Loss_D: -0.023269 Loss_G: 0.028604 Loss_D_real: -0.027136 Loss_D_fake -0.003867
[546/5000][500/535][56165] Loss_D: -0.024407 Loss_G: 0.009553 Loss_D_real: -0.018556 Loss_D_fake 0.005851
[546/5000][505/535][56166] Loss_D: -0.024744 Loss_G: 0.018723 Loss_D_real: -0.018984 Loss_D_fake 0.005760
[546/5000][510/535][56167] Loss_D: -0.025541 Loss_G: 0.007008 Loss_D_real: -0.017973 Loss_D_fake 0.007569
[546/5000][515/535][56168] Loss_D: -0.026040 Loss_G: 0.013617 Loss_D_real: -0.013640 Loss_D_fake 0.012400
[546/5000][520/535][56169] Loss_D: -0.026125 Loss_G: -0.001594 Loss_D_real: -0.012473 Loss_D_fake 0.013652
[546/5000][525/535][56170] Loss_D: -0.026312 Loss_G: 0.024120 Loss_D_real: -0.030922 Loss_D_fake -0.004610
[546/5000][530/535][56171] Loss_D: -0.026250 Loss_G: -0.001833 Loss_D_real: 0.001605 Loss_D_fake 0.027856
[546/5000][535/535][56172] Loss_D: -0.025767 Loss_G: 0.016236 Loss_D_real: -0.012960 Loss_D_fake 0.012806
[547/5000][5/535][56173] Loss_D: -0.025613 Loss_G: -0.005832 Loss_D_real: -0.002337 Loss_D_fake 0.023276
[547/5000][10/535][56174] Loss_D: -0.024436 Loss_G: 0.027143 Loss_D_real: -0.031286 Loss_D_fake -0.006850
[547/5000][15/535][56175] Loss_D: -0.024456 Loss_G: 0.008503 Loss_D_real: -0.017630 Loss_D_fake 0.006826
[547/5000][20/535][56176] Loss_D: -0.026065 Loss_G: 0.026700 Loss_D_real: -0.019191 Loss_D_fake 0.006874
[547/5000][25/535][56177] Loss_D: -0.027063 Loss_G: 0.020849 Loss_D_real: -0.021356 Loss_D_fake 0.005707
[547/5000][30/535][56178] Loss_D: -0.025509 Loss_G: -0.003973 Loss_D_real: -0.006880 Loss_D_fake 0.018629
[547/5000][35/535][56179] Loss_D: -0.025487 Loss_G: 0.013078 Loss_D_real: -0.015550 Loss_D_fake 0.009937
[547/5000][40/535][56180] Loss_D: -0.027240 Loss_G: 0.003747 Loss_D_real: -0.007340 Loss_D_fake 0.019900
[547/5000][45/535][56181] Loss_D: -0.027080 Loss_G: 0.014430 Loss_D_real: -0.016992 Loss_D_fake 0.010088
[547/5000][50/535][56182] Loss_D: -0.024087 Loss_G: 0.001477 Loss_D_real: -0.004753 Loss_D_fake 0.019333
[547/5000][55/535][56183] Loss_D: -0.026064 Loss_G: 0.013080 Loss_D_real: -0.016928 Loss_D_fake 0.009136
[547/5000][60/535][56184] Loss_D: -0.025959 Loss_G: 0.002998 Loss_D_real: 0.001157 Loss_D_fake 0.027116
[547/5000][65/535][56185] Loss_D: -0.025227 Loss_G: 0.023848 Loss_D_real: -0.019656 Loss_D_fake 0.005571
[547/5000][70/535][56186] Loss_D: -0.025736 Loss_G: 0.006959 Loss_D_real: -0.019709 Loss_D_fake 0.006027
[547/5000][75/535][56187] Loss_D: -0.024902 Loss_G: 0.021880 Loss_D_real: -0.021243 Loss_D_fake 0.003659
[547/5000][80/535][56188] Loss_D: -0.025511 Loss_G: 0.030511 Loss_D_real: -0.016023 Loss_D_fake 0.009488
[547/5000][85/535][56189] Loss_D: -0.025893 Loss_G: 0.015956 Loss_D_real: -0.021780 Loss_D_fake 0.004113
[547/5000][90/535][56190] Loss_D: -0.025906 Loss_G: 0.003050 Loss_D_real: -0.006053 Loss_D_fake 0.019853
[547/5000][95/535][56191] Loss_D: -0.026882 Loss_G: 0.011542 Loss_D_real: -0.012147 Loss_D_fake 0.014736
[547/5000][100/535][56192] Loss_D: -0.026136 Loss_G: 0.029259 Loss_D_real: -0.032121 Loss_D_fake -0.005985
[547/5000][105/535][56193] Loss_D: -0.026270 Loss_G: 0.000665 Loss_D_real: -0.009971 Loss_D_fake 0.016299
[547/5000][110/535][56194] Loss_D: -0.025930 Loss_G: 0.015865 Loss_D_real: -0.015531 Loss_D_fake 0.010399
[547/5000][115/535][56195] Loss_D: -0.025675 Loss_G: 0.018248 Loss_D_real: -0.008512 Loss_D_fake 0.017162
[547/5000][120/535][56196] Loss_D: -0.025938 Loss_G: -0.008612 Loss_D_real: -0.008486 Loss_D_fake 0.017452
[547/5000][125/535][56197] Loss_D: -0.025832 Loss_G: 0.027950 Loss_D_real: -0.032801 Loss_D_fake -0.006968
[547/5000][130/535][56198] Loss_D: -0.027605 Loss_G: 0.014786 Loss_D_real: -0.022552 Loss_D_fake 0.005053
[547/5000][135/535][56199] Loss_D: -0.025873 Loss_G: 0.015745 Loss_D_real: -0.014885 Loss_D_fake 0.010988
[547/5000][140/535][56200] Loss_D: -0.025705 Loss_G: 0.005226 Loss_D_real: -0.006313 Loss_D_fake 0.019393
[547/5000][145/535][56201] Loss_D: -0.026033 Loss_G: 0.027941 Loss_D_real: -0.024952 Loss_D_fake 0.001080
[547/5000][150/535][56202] Loss_D: -0.026249 Loss_G: -0.000444 Loss_D_real: -0.009783 Loss_D_fake 0.016466
[547/5000][155/535][56203] Loss_D: -0.024986 Loss_G: 0.024726 Loss_D_real: -0.030299 Loss_D_fake -0.005312
[547/5000][160/535][56204] Loss_D: -0.026545 Loss_G: 0.025168 Loss_D_real: -0.031124 Loss_D_fake -0.004579
[547/5000][165/535][56205] Loss_D: -0.025251 Loss_G: -0.004947 Loss_D_real: -0.005447 Loss_D_fake 0.019805
[547/5000][170/535][56206] Loss_D: -0.025751 Loss_G: 0.025099 Loss_D_real: -0.028035 Loss_D_fake -0.002284
[547/5000][175/535][56207] Loss_D: -0.025692 Loss_G: 0.002555 Loss_D_real: -0.006953 Loss_D_fake 0.018739
[547/5000][180/535][56208] Loss_D: -0.027736 Loss_G: 0.010650 Loss_D_real: -0.007522 Loss_D_fake 0.020214
[547/5000][185/535][56209] Loss_D: -0.026758 Loss_G: 0.025514 Loss_D_real: -0.017986 Loss_D_fake 0.008772
[547/5000][190/535][56210] Loss_D: -0.025500 Loss_G: 0.004338 Loss_D_real: -0.008776 Loss_D_fake 0.016724
[547/5000][195/535][56211] Loss_D: -0.026198 Loss_G: 0.017569 Loss_D_real: -0.017612 Loss_D_fake 0.008587
[547/5000][200/535][56212] Loss_D: -0.026452 Loss_G: 0.026818 Loss_D_real: -0.017173 Loss_D_fake 0.009279
[547/5000][205/535][56213] Loss_D: -0.024820 Loss_G: 0.032173 Loss_D_real: -0.029684 Loss_D_fake -0.004865
[547/5000][210/535][56214] Loss_D: -0.024399 Loss_G: 0.016873 Loss_D_real: -0.024401 Loss_D_fake -0.000002
[547/5000][215/535][56215] Loss_D: -0.025624 Loss_G: -0.008052 Loss_D_real: -0.005575 Loss_D_fake 0.020048
[547/5000][220/535][56216] Loss_D: -0.026440 Loss_G: 0.015075 Loss_D_real: -0.020523 Loss_D_fake 0.005918
[547/5000][225/535][56217] Loss_D: -0.026147 Loss_G: 0.021705 Loss_D_real: -0.026142 Loss_D_fake 0.000006
[547/5000][230/535][56218] Loss_D: -0.026113 Loss_G: 0.001707 Loss_D_real: -0.006533 Loss_D_fake 0.019580
[547/5000][235/535][56219] Loss_D: -0.025007 Loss_G: -0.004287 Loss_D_real: -0.019380 Loss_D_fake 0.005627
[547/5000][240/535][56220] Loss_D: -0.024489 Loss_G: 0.031060 Loss_D_real: -0.024770 Loss_D_fake -0.000281
[547/5000][245/535][56221] Loss_D: -0.024074 Loss_G: 0.028299 Loss_D_real: -0.029031 Loss_D_fake -0.004957
[547/5000][250/535][56222] Loss_D: -0.025190 Loss_G: 0.024343 Loss_D_real: -0.024235 Loss_D_fake 0.000955
[547/5000][255/535][56223] Loss_D: -0.025850 Loss_G: 0.010928 Loss_D_real: -0.016250 Loss_D_fake 0.009600
[547/5000][260/535][56224] Loss_D: -0.026182 Loss_G: 0.024554 Loss_D_real: -0.021324 Loss_D_fake 0.004858
[547/5000][265/535][56225] Loss_D: -0.026433 Loss_G: 0.014000 Loss_D_real: -0.018301 Loss_D_fake 0.008132
[547/5000][270/535][56226] Loss_D: -0.024965 Loss_G: 0.019776 Loss_D_real: -0.016862 Loss_D_fake 0.008102
[547/5000][275/535][56227] Loss_D: -0.025877 Loss_G: -0.001546 Loss_D_real: -0.008752 Loss_D_fake 0.017124
[547/5000][280/535][56228] Loss_D: -0.025513 Loss_G: 0.030909 Loss_D_real: -0.023669 Loss_D_fake 0.001843
[547/5000][285/535][56229] Loss_D: -0.025318 Loss_G: 0.023067 Loss_D_real: -0.025435 Loss_D_fake -0.000117
[547/5000][290/535][56230] Loss_D: -0.026905 Loss_G: 0.023922 Loss_D_real: -0.032639 Loss_D_fake -0.005734
[547/5000][295/535][56231] Loss_D: -0.026649 Loss_G: -0.000608 Loss_D_real: -0.012375 Loss_D_fake 0.014274
[547/5000][300/535][56232] Loss_D: -0.025778 Loss_G: 0.015335 Loss_D_real: -0.012928 Loss_D_fake 0.012851
[547/5000][305/535][56233] Loss_D: -0.025693 Loss_G: 0.009978 Loss_D_real: -0.012846 Loss_D_fake 0.012846
[547/5000][310/535][56234] Loss_D: -0.024933 Loss_G: 0.039037 Loss_D_real: -0.032401 Loss_D_fake -0.007468
[547/5000][315/535][56235] Loss_D: -0.026622 Loss_G: 0.005556 Loss_D_real: -0.017381 Loss_D_fake 0.009241
[547/5000][320/535][56236] Loss_D: -0.025206 Loss_G: 0.021505 Loss_D_real: -0.027385 Loss_D_fake -0.002179
[547/5000][325/535][56237] Loss_D: -0.025184 Loss_G: -0.003468 Loss_D_real: -0.005569 Loss_D_fake 0.019615
[547/5000][330/535][56238] Loss_D: -0.025082 Loss_G: 0.025342 Loss_D_real: -0.034235 Loss_D_fake -0.009153
[547/5000][335/535][56239] Loss_D: -0.025318 Loss_G: 0.026976 Loss_D_real: -0.023152 Loss_D_fake 0.002166
[547/5000][340/535][56240] Loss_D: -0.026555 Loss_G: -0.014735 Loss_D_real: -0.000218 Loss_D_fake 0.026337
[547/5000][345/535][56241] Loss_D: -0.026132 Loss_G: 0.019570 Loss_D_real: -0.026833 Loss_D_fake -0.000702
[547/5000][350/535][56242] Loss_D: -0.025168 Loss_G: 0.003603 Loss_D_real: -0.006478 Loss_D_fake 0.018690
[547/5000][355/535][56243] Loss_D: -0.027520 Loss_G: 0.025485 Loss_D_real: -0.019085 Loss_D_fake 0.008435
[547/5000][360/535][56244] Loss_D: -0.024785 Loss_G: 0.008941 Loss_D_real: -0.001593 Loss_D_fake 0.023193
[547/5000][365/535][56245] Loss_D: -0.025224 Loss_G: 0.029118 Loss_D_real: -0.024630 Loss_D_fake 0.000594
[547/5000][370/535][56246] Loss_D: -0.026900 Loss_G: 0.013113 Loss_D_real: -0.018988 Loss_D_fake 0.007912
[547/5000][375/535][56247] Loss_D: -0.025176 Loss_G: 0.017105 Loss_D_real: -0.021845 Loss_D_fake 0.003331
[547/5000][380/535][56248] Loss_D: -0.026412 Loss_G: 0.027298 Loss_D_real: -0.021159 Loss_D_fake 0.005254
[547/5000][385/535][56249] Loss_D: -0.026817 Loss_G: -0.003967 Loss_D_real: -0.007674 Loss_D_fake 0.019143
[547/5000][390/535][56250] Loss_D: -0.026814 Loss_G: 0.014666 Loss_D_real: -0.026325 Loss_D_fake 0.000490
[547/5000][395/535][56251] Loss_D: -0.025343 Loss_G: 0.011419 Loss_D_real: -0.022679 Loss_D_fake 0.002663
[547/5000][400/535][56252] Loss_D: -0.025959 Loss_G: 0.028948 Loss_D_real: -0.020521 Loss_D_fake 0.005438
[547/5000][405/535][56253] Loss_D: -0.024986 Loss_G: -0.003343 Loss_D_real: -0.010381 Loss_D_fake 0.014605
[547/5000][410/535][56254] Loss_D: -0.026061 Loss_G: 0.020009 Loss_D_real: -0.015697 Loss_D_fake 0.010364
[547/5000][415/535][56255] Loss_D: -0.025348 Loss_G: -0.007310 Loss_D_real: -0.005307 Loss_D_fake 0.020040
[547/5000][420/535][56256] Loss_D: -0.025188 Loss_G: 0.005249 Loss_D_real: -0.015091 Loss_D_fake 0.010098
[547/5000][425/535][56257] Loss_D: -0.023200 Loss_G: 0.028882 Loss_D_real: -0.032672 Loss_D_fake -0.009472
[547/5000][430/535][56258] Loss_D: -0.024722 Loss_G: 0.009005 Loss_D_real: -0.011167 Loss_D_fake 0.013556
[547/5000][435/535][56259] Loss_D: -0.025720 Loss_G: -0.001743 Loss_D_real: -0.001406 Loss_D_fake 0.024314
[547/5000][440/535][56260] Loss_D: -0.025386 Loss_G: 0.010003 Loss_D_real: -0.006918 Loss_D_fake 0.018468
[547/5000][445/535][56261] Loss_D: -0.026486 Loss_G: 0.030375 Loss_D_real: -0.026782 Loss_D_fake -0.000296
[547/5000][450/535][56262] Loss_D: -0.026977 Loss_G: 0.019724 Loss_D_real: -0.018711 Loss_D_fake 0.008266
[547/5000][455/535][56263] Loss_D: -0.025181 Loss_G: 0.012226 Loss_D_real: -0.021039 Loss_D_fake 0.004142
[547/5000][460/535][56264] Loss_D: -0.025781 Loss_G: 0.028628 Loss_D_real: -0.021246 Loss_D_fake 0.004535
[547/5000][465/535][56265] Loss_D: -0.025991 Loss_G: 0.029447 Loss_D_real: -0.028353 Loss_D_fake -0.002362
[547/5000][470/535][56266] Loss_D: -0.025229 Loss_G: -0.008803 Loss_D_real: -0.010759 Loss_D_fake 0.014471
[547/5000][475/535][56267] Loss_D: -0.026837 Loss_G: 0.011094 Loss_D_real: -0.022359 Loss_D_fake 0.004479
[547/5000][480/535][56268] Loss_D: -0.025837 Loss_G: 0.021675 Loss_D_real: -0.013076 Loss_D_fake 0.012761
[547/5000][485/535][56269] Loss_D: -0.027047 Loss_G: 0.019198 Loss_D_real: -0.030323 Loss_D_fake -0.003276
[547/5000][490/535][56270] Loss_D: -0.026361 Loss_G: 0.029998 Loss_D_real: -0.025418 Loss_D_fake 0.000943
[547/5000][495/535][56271] Loss_D: -0.026975 Loss_G: -0.015382 Loss_D_real: -0.012311 Loss_D_fake 0.014664
[547/5000][500/535][56272] Loss_D: -0.025211 Loss_G: 0.006378 Loss_D_real: -0.016341 Loss_D_fake 0.008871
[547/5000][505/535][56273] Loss_D: -0.026029 Loss_G: 0.011724 Loss_D_real: -0.009363 Loss_D_fake 0.016666
[547/5000][510/535][56274] Loss_D: -0.025187 Loss_G: 0.003634 Loss_D_real: -0.014308 Loss_D_fake 0.010879
[547/5000][515/535][56275] Loss_D: -0.024816 Loss_G: -0.002057 Loss_D_real: -0.007266 Loss_D_fake 0.017550
[547/5000][520/535][56276] Loss_D: -0.024732 Loss_G: 0.031932 Loss_D_real: -0.026493 Loss_D_fake -0.001760
[547/5000][525/535][56277] Loss_D: -0.025358 Loss_G: 0.020765 Loss_D_real: -0.021505 Loss_D_fake 0.003853
[547/5000][530/535][56278] Loss_D: -0.027191 Loss_G: 0.000059 Loss_D_real: -0.013509 Loss_D_fake 0.013682
[547/5000][535/535][56279] Loss_D: -0.025984 Loss_G: -0.005189 Loss_D_real: -0.005361 Loss_D_fake 0.020623
[548/5000][5/535][56280] Loss_D: -0.025268 Loss_G: 0.018524 Loss_D_real: -0.025525 Loss_D_fake -0.000257
[548/5000][10/535][56281] Loss_D: -0.027331 Loss_G: 0.014902 Loss_D_real: -0.020306 Loss_D_fake 0.007025
[548/5000][15/535][56282] Loss_D: -0.027424 Loss_G: 0.021847 Loss_D_real: -0.021542 Loss_D_fake 0.005882
[548/5000][20/535][56283] Loss_D: -0.026076 Loss_G: -0.005010 Loss_D_real: 0.005013 Loss_D_fake 0.031089
[548/5000][25/535][56284] Loss_D: -0.025211 Loss_G: 0.009215 Loss_D_real: -0.017113 Loss_D_fake 0.008098
[548/5000][30/535][56285] Loss_D: -0.026474 Loss_G: 0.015242 Loss_D_real: -0.020964 Loss_D_fake 0.005510
[548/5000][35/535][56286] Loss_D: -0.025425 Loss_G: 0.022164 Loss_D_real: -0.017497 Loss_D_fake 0.007928
[548/5000][40/535][56287] Loss_D: -0.025279 Loss_G: 0.006894 Loss_D_real: -0.006561 Loss_D_fake 0.018717
[548/5000][45/535][56288] Loss_D: -0.026548 Loss_G: 0.004892 Loss_D_real: -0.013132 Loss_D_fake 0.013416
[548/5000][50/535][56289] Loss_D: -0.026519 Loss_G: 0.015237 Loss_D_real: -0.025632 Loss_D_fake 0.000887
[548/5000][55/535][56290] Loss_D: -0.026612 Loss_G: -0.001589 Loss_D_real: -0.011084 Loss_D_fake 0.015528
[548/5000][60/535][56291] Loss_D: -0.026822 Loss_G: 0.017422 Loss_D_real: -0.022060 Loss_D_fake 0.004762
[548/5000][65/535][56292] Loss_D: -0.025928 Loss_G: -0.009250 Loss_D_real: -0.004302 Loss_D_fake 0.021626
[548/5000][70/535][56293] Loss_D: -0.025259 Loss_G: 0.029770 Loss_D_real: -0.037203 Loss_D_fake -0.011944
[548/5000][75/535][56294] Loss_D: -0.025721 Loss_G: 0.006822 Loss_D_real: -0.022819 Loss_D_fake 0.002903
[548/5000][80/535][56295] Loss_D: -0.025511 Loss_G: 0.018294 Loss_D_real: -0.013482 Loss_D_fake 0.012030
[548/5000][85/535][56296] Loss_D: -0.025554 Loss_G: -0.005837 Loss_D_real: -0.006041 Loss_D_fake 0.019513
[548/5000][90/535][56297] Loss_D: -0.025987 Loss_G: 0.026415 Loss_D_real: -0.019826 Loss_D_fake 0.006161
[548/5000][95/535][56298] Loss_D: -0.027158 Loss_G: 0.010127 Loss_D_real: -0.022581 Loss_D_fake 0.004577
[548/5000][100/535][56299] Loss_D: -0.024566 Loss_G: -0.000363 Loss_D_real: -0.001308 Loss_D_fake 0.023258
[548/5000][105/535][56300] Loss_D: -0.024699 Loss_G: 0.035669 Loss_D_real: -0.043104 Loss_D_fake -0.018404
[548/5000][110/535][56301] Loss_D: -0.026308 Loss_G: 0.010229 Loss_D_real: -0.002845 Loss_D_fake 0.023463
[548/5000][115/535][56302] Loss_D: -0.025837 Loss_G: -0.000897 Loss_D_real: -0.011008 Loss_D_fake 0.014830
[548/5000][120/535][56303] Loss_D: -0.025491 Loss_G: 0.026189 Loss_D_real: -0.031537 Loss_D_fake -0.006046
[548/5000][125/535][56304] Loss_D: -0.026949 Loss_G: -0.014711 Loss_D_real: -0.014839 Loss_D_fake 0.012110
[548/5000][130/535][56305] Loss_D: -0.024891 Loss_G: 0.018477 Loss_D_real: -0.018154 Loss_D_fake 0.006737
[548/5000][135/535][56306] Loss_D: -0.025216 Loss_G: 0.010576 Loss_D_real: -0.016210 Loss_D_fake 0.009005
[548/5000][140/535][56307] Loss_D: -0.024101 Loss_G: 0.020312 Loss_D_real: -0.009650 Loss_D_fake 0.014451
[548/5000][145/535][56308] Loss_D: -0.025259 Loss_G: 0.014555 Loss_D_real: -0.026810 Loss_D_fake -0.001551
[548/5000][150/535][56309] Loss_D: -0.026438 Loss_G: 0.003630 Loss_D_real: -0.006923 Loss_D_fake 0.019515
[548/5000][155/535][56310] Loss_D: -0.027423 Loss_G: 0.009893 Loss_D_real: -0.008459 Loss_D_fake 0.018964
[548/5000][160/535][56311] Loss_D: -0.027648 Loss_G: 0.018686 Loss_D_real: -0.017290 Loss_D_fake 0.010358
[548/5000][165/535][56312] Loss_D: -0.023901 Loss_G: 0.034567 Loss_D_real: -0.038939 Loss_D_fake -0.015037
[548/5000][170/535][56313] Loss_D: -0.026501 Loss_G: -0.015191 Loss_D_real: -0.002019 Loss_D_fake 0.024482
[548/5000][175/535][56314] Loss_D: -0.026615 Loss_G: 0.003657 Loss_D_real: -0.015051 Loss_D_fake 0.011565
[548/5000][180/535][56315] Loss_D: -0.024286 Loss_G: 0.025975 Loss_D_real: -0.024958 Loss_D_fake -0.000672
[548/5000][185/535][56316] Loss_D: -0.025763 Loss_G: -0.006536 Loss_D_real: -0.004032 Loss_D_fake 0.021731
[548/5000][190/535][56317] Loss_D: -0.027185 Loss_G: 0.016475 Loss_D_real: -0.008278 Loss_D_fake 0.018907
[548/5000][195/535][56318] Loss_D: -0.026750 Loss_G: 0.016711 Loss_D_real: -0.020133 Loss_D_fake 0.006617
[548/5000][200/535][56319] Loss_D: -0.026330 Loss_G: 0.038245 Loss_D_real: -0.031115 Loss_D_fake -0.004785
[548/5000][205/535][56320] Loss_D: -0.026066 Loss_G: -0.013910 Loss_D_real: -0.003589 Loss_D_fake 0.022478
[548/5000][210/535][56321] Loss_D: -0.025640 Loss_G: 0.023771 Loss_D_real: -0.027301 Loss_D_fake -0.001661
[548/5000][215/535][56322] Loss_D: -0.025771 Loss_G: 0.022487 Loss_D_real: -0.021440 Loss_D_fake 0.004331
[548/5000][220/535][56323] Loss_D: -0.028232 Loss_G: 0.011287 Loss_D_real: -0.019087 Loss_D_fake 0.009145
[548/5000][225/535][56324] Loss_D: -0.026857 Loss_G: 0.010385 Loss_D_real: -0.019922 Loss_D_fake 0.006936
[548/5000][230/535][56325] Loss_D: -0.027082 Loss_G: -0.002706 Loss_D_real: -0.005269 Loss_D_fake 0.021813
[548/5000][235/535][56326] Loss_D: -0.024947 Loss_G: 0.015695 Loss_D_real: -0.030903 Loss_D_fake -0.005956
[548/5000][240/535][56327] Loss_D: -0.024940 Loss_G: 0.036975 Loss_D_real: -0.036961 Loss_D_fake -0.012021
[548/5000][245/535][56328] Loss_D: -0.025620 Loss_G: 0.011087 Loss_D_real: -0.014958 Loss_D_fake 0.010662
[548/5000][250/535][56329] Loss_D: -0.025192 Loss_G: 0.023083 Loss_D_real: -0.014099 Loss_D_fake 0.011092
[548/5000][255/535][56330] Loss_D: -0.025911 Loss_G: 0.012486 Loss_D_real: -0.010915 Loss_D_fake 0.014996
[548/5000][260/535][56331] Loss_D: -0.025590 Loss_G: 0.008539 Loss_D_real: -0.011353 Loss_D_fake 0.014237
[548/5000][265/535][56332] Loss_D: -0.025751 Loss_G: 0.012682 Loss_D_real: -0.007512 Loss_D_fake 0.018238
[548/5000][270/535][56333] Loss_D: -0.024728 Loss_G: 0.005782 Loss_D_real: -0.009703 Loss_D_fake 0.015025
[548/5000][275/535][56334] Loss_D: -0.025639 Loss_G: 0.010692 Loss_D_real: -0.006753 Loss_D_fake 0.018886
[548/5000][280/535][56335] Loss_D: -0.025136 Loss_G: 0.018376 Loss_D_real: -0.032482 Loss_D_fake -0.007346
[548/5000][285/535][56336] Loss_D: -0.026515 Loss_G: 0.003688 Loss_D_real: -0.011819 Loss_D_fake 0.014696
[548/5000][290/535][56337] Loss_D: -0.025921 Loss_G: 0.011437 Loss_D_real: -0.025045 Loss_D_fake 0.000875
[548/5000][295/535][56338] Loss_D: -0.025319 Loss_G: 0.040857 Loss_D_real: -0.029918 Loss_D_fake -0.004598
[548/5000][300/535][56339] Loss_D: -0.026232 Loss_G: 0.014404 Loss_D_real: -0.021537 Loss_D_fake 0.004695
[548/5000][305/535][56340] Loss_D: -0.026276 Loss_G: 0.026222 Loss_D_real: -0.024667 Loss_D_fake 0.001609
[548/5000][310/535][56341] Loss_D: -0.024433 Loss_G: 0.032461 Loss_D_real: -0.031289 Loss_D_fake -0.006856
[548/5000][315/535][56342] Loss_D: -0.025412 Loss_G: 0.013178 Loss_D_real: -0.011257 Loss_D_fake 0.014155
[548/5000][320/535][56343] Loss_D: -0.024995 Loss_G: 0.001566 Loss_D_real: -0.008773 Loss_D_fake 0.016222
[548/5000][325/535][56344] Loss_D: -0.025189 Loss_G: 0.029178 Loss_D_real: -0.037734 Loss_D_fake -0.012544
[548/5000][330/535][56345] Loss_D: -0.025786 Loss_G: 0.013900 Loss_D_real: -0.013695 Loss_D_fake 0.012091
[548/5000][335/535][56346] Loss_D: -0.025009 Loss_G: 0.016410 Loss_D_real: -0.008828 Loss_D_fake 0.016181
[548/5000][340/535][56347] Loss_D: -0.027263 Loss_G: 0.006719 Loss_D_real: -0.013466 Loss_D_fake 0.013797
[548/5000][345/535][56348] Loss_D: -0.025948 Loss_G: 0.007525 Loss_D_real: -0.024550 Loss_D_fake 0.001398
[548/5000][350/535][56349] Loss_D: -0.025694 Loss_G: 0.033945 Loss_D_real: -0.028411 Loss_D_fake -0.002717
[548/5000][355/535][56350] Loss_D: -0.024768 Loss_G: 0.000460 Loss_D_real: -0.006651 Loss_D_fake 0.018117
[548/5000][360/535][56351] Loss_D: -0.027847 Loss_G: 0.018470 Loss_D_real: -0.018194 Loss_D_fake 0.009653
[548/5000][365/535][56352] Loss_D: -0.024522 Loss_G: 0.007192 Loss_D_real: -0.012358 Loss_D_fake 0.012164
[548/5000][370/535][56353] Loss_D: -0.024495 Loss_G: 0.024098 Loss_D_real: -0.031154 Loss_D_fake -0.006659
[548/5000][375/535][56354] Loss_D: -0.025050 Loss_G: -0.010863 Loss_D_real: 0.002151 Loss_D_fake 0.027200
[548/5000][380/535][56355] Loss_D: -0.025932 Loss_G: 0.023922 Loss_D_real: -0.021205 Loss_D_fake 0.004727
[548/5000][385/535][56356] Loss_D: -0.024735 Loss_G: 0.010524 Loss_D_real: -0.015828 Loss_D_fake 0.008907
[548/5000][390/535][56357] Loss_D: -0.027075 Loss_G: 0.004399 Loss_D_real: -0.008166 Loss_D_fake 0.018909
[548/5000][395/535][56358] Loss_D: -0.026247 Loss_G: 0.024526 Loss_D_real: -0.020682 Loss_D_fake 0.005565
[548/5000][400/535][56359] Loss_D: -0.024782 Loss_G: 0.009812 Loss_D_real: -0.013670 Loss_D_fake 0.011112
[548/5000][405/535][56360] Loss_D: -0.026199 Loss_G: 0.002353 Loss_D_real: -0.018536 Loss_D_fake 0.007663
[548/5000][410/535][56361] Loss_D: -0.025506 Loss_G: 0.015627 Loss_D_real: -0.008186 Loss_D_fake 0.017320
[548/5000][415/535][56362] Loss_D: -0.025776 Loss_G: -0.017890 Loss_D_real: -0.000367 Loss_D_fake 0.025408
[548/5000][420/535][56363] Loss_D: -0.025128 Loss_G: 0.009664 Loss_D_real: -0.016598 Loss_D_fake 0.008531
[548/5000][425/535][56364] Loss_D: -0.025597 Loss_G: 0.020556 Loss_D_real: -0.018080 Loss_D_fake 0.007516
[548/5000][430/535][56365] Loss_D: -0.025954 Loss_G: 0.005230 Loss_D_real: -0.014521 Loss_D_fake 0.011433
[548/5000][435/535][56366] Loss_D: -0.026495 Loss_G: 0.020869 Loss_D_real: -0.021697 Loss_D_fake 0.004798
[548/5000][440/535][56367] Loss_D: -0.026667 Loss_G: 0.009000 Loss_D_real: -0.011234 Loss_D_fake 0.015432
[548/5000][445/535][56368] Loss_D: -0.026452 Loss_G: 0.016170 Loss_D_real: -0.022817 Loss_D_fake 0.003635
[548/5000][450/535][56369] Loss_D: -0.025493 Loss_G: 0.020154 Loss_D_real: -0.019753 Loss_D_fake 0.005740
[548/5000][455/535][56370] Loss_D: -0.026221 Loss_G: 0.023222 Loss_D_real: -0.027622 Loss_D_fake -0.001401
[548/5000][460/535][56371] Loss_D: -0.023775 Loss_G: 0.029662 Loss_D_real: -0.030220 Loss_D_fake -0.006445
[548/5000][465/535][56372] Loss_D: -0.025752 Loss_G: 0.035091 Loss_D_real: -0.028600 Loss_D_fake -0.002848
[548/5000][470/535][56373] Loss_D: -0.025598 Loss_G: 0.033615 Loss_D_real: -0.032215 Loss_D_fake -0.006618
[548/5000][475/535][56374] Loss_D: -0.026265 Loss_G: 0.018245 Loss_D_real: -0.017647 Loss_D_fake 0.008618
[548/5000][480/535][56375] Loss_D: -0.026719 Loss_G: 0.006448 Loss_D_real: -0.008050 Loss_D_fake 0.018669
[548/5000][485/535][56376] Loss_D: -0.025635 Loss_G: 0.001743 Loss_D_real: -0.014903 Loss_D_fake 0.010732
[548/5000][490/535][56377] Loss_D: -0.025010 Loss_G: 0.023129 Loss_D_real: -0.033926 Loss_D_fake -0.008916
[548/5000][495/535][56378] Loss_D: -0.025803 Loss_G: 0.022884 Loss_D_real: -0.017846 Loss_D_fake 0.007957
[548/5000][500/535][56379] Loss_D: -0.024688 Loss_G: 0.015792 Loss_D_real: -0.021039 Loss_D_fake 0.003649
[548/5000][505/535][56380] Loss_D: -0.024723 Loss_G: 0.023935 Loss_D_real: -0.027623 Loss_D_fake -0.002900
[548/5000][510/535][56381] Loss_D: -0.025998 Loss_G: -0.011408 Loss_D_real: -0.002935 Loss_D_fake 0.023063
[548/5000][515/535][56382] Loss_D: -0.025759 Loss_G: 0.028304 Loss_D_real: -0.028960 Loss_D_fake -0.003202
[548/5000][520/535][56383] Loss_D: -0.024891 Loss_G: 0.005738 Loss_D_real: -0.015603 Loss_D_fake 0.009289
[548/5000][525/535][56384] Loss_D: -0.025167 Loss_G: -0.018858 Loss_D_real: -0.000679 Loss_D_fake 0.024488
[548/5000][530/535][56385] Loss_D: -0.024877 Loss_G: 0.021723 Loss_D_real: -0.024137 Loss_D_fake 0.000740
[548/5000][535/535][56386] Loss_D: -0.023850 Loss_G: 0.011902 Loss_D_real: -0.007695 Loss_D_fake 0.016155
[549/5000][5/535][56387] Loss_D: -0.025140 Loss_G: 0.004638 Loss_D_real: -0.002149 Loss_D_fake 0.022991
[549/5000][10/535][56388] Loss_D: -0.024751 Loss_G: 0.009393 Loss_D_real: -0.022246 Loss_D_fake 0.002505
[549/5000][15/535][56389] Loss_D: -0.025430 Loss_G: -0.002616 Loss_D_real: -0.004687 Loss_D_fake 0.020743
[549/5000][20/535][56390] Loss_D: -0.024362 Loss_G: 0.033339 Loss_D_real: -0.030048 Loss_D_fake -0.005685
[549/5000][25/535][56391] Loss_D: -0.025317 Loss_G: 0.003709 Loss_D_real: -0.016453 Loss_D_fake 0.008864
[549/5000][30/535][56392] Loss_D: -0.024831 Loss_G: -0.006070 Loss_D_real: -0.002882 Loss_D_fake 0.021948
[549/5000][35/535][56393] Loss_D: -0.024007 Loss_G: -0.004181 Loss_D_real: -0.002089 Loss_D_fake 0.021919
[549/5000][40/535][56394] Loss_D: -0.025720 Loss_G: 0.022541 Loss_D_real: -0.023322 Loss_D_fake 0.002398
[549/5000][45/535][56395] Loss_D: -0.025610 Loss_G: 0.010267 Loss_D_real: -0.012409 Loss_D_fake 0.013202
[549/5000][50/535][56396] Loss_D: -0.026887 Loss_G: 0.019634 Loss_D_real: -0.003725 Loss_D_fake 0.023162
[549/5000][55/535][56397] Loss_D: -0.025158 Loss_G: -0.016696 Loss_D_real: -0.004126 Loss_D_fake 0.021033
[549/5000][60/535][56398] Loss_D: -0.025294 Loss_G: 0.027269 Loss_D_real: -0.022834 Loss_D_fake 0.002460
[549/5000][65/535][56399] Loss_D: -0.025111 Loss_G: 0.005092 Loss_D_real: -0.014245 Loss_D_fake 0.010866
[549/5000][70/535][56400] Loss_D: -0.027257 Loss_G: 0.001798 Loss_D_real: -0.013328 Loss_D_fake 0.013929
[549/5000][75/535][56401] Loss_D: -0.025031 Loss_G: 0.027128 Loss_D_real: -0.008700 Loss_D_fake 0.016332
[549/5000][80/535][56402] Loss_D: -0.025256 Loss_G: 0.026758 Loss_D_real: -0.022335 Loss_D_fake 0.002921
[549/5000][85/535][56403] Loss_D: -0.025896 Loss_G: 0.020914 Loss_D_real: -0.009051 Loss_D_fake 0.016845
[549/5000][90/535][56404] Loss_D: -0.026047 Loss_G: 0.004513 Loss_D_real: -0.014834 Loss_D_fake 0.011213
[549/5000][95/535][56405] Loss_D: -0.027176 Loss_G: 0.017936 Loss_D_real: -0.016978 Loss_D_fake 0.010198
[549/5000][100/535][56406] Loss_D: -0.026447 Loss_G: 0.015303 Loss_D_real: -0.013845 Loss_D_fake 0.012602
[549/5000][105/535][56407] Loss_D: -0.026472 Loss_G: 0.025886 Loss_D_real: -0.022084 Loss_D_fake 0.004388
[549/5000][110/535][56408] Loss_D: -0.025473 Loss_G: 0.035244 Loss_D_real: -0.026265 Loss_D_fake -0.000792
[549/5000][115/535][56409] Loss_D: -0.026858 Loss_G: 0.001979 Loss_D_real: -0.009135 Loss_D_fake 0.017723
[549/5000][120/535][56410] Loss_D: -0.024816 Loss_G: 0.020621 Loss_D_real: -0.029718 Loss_D_fake -0.004902
[549/5000][125/535][56411] Loss_D: -0.027538 Loss_G: 0.016690 Loss_D_real: -0.014770 Loss_D_fake 0.012768
[549/5000][130/535][56412] Loss_D: -0.025848 Loss_G: -0.010713 Loss_D_real: 0.001708 Loss_D_fake 0.027557
[549/5000][135/535][56413] Loss_D: -0.025966 Loss_G: -0.007196 Loss_D_real: -0.002855 Loss_D_fake 0.023110
[549/5000][140/535][56414] Loss_D: -0.025777 Loss_G: 0.022475 Loss_D_real: -0.015841 Loss_D_fake 0.009936
[549/5000][145/535][56415] Loss_D: -0.027524 Loss_G: 0.030130 Loss_D_real: -0.027424 Loss_D_fake 0.000099
[549/5000][150/535][56416] Loss_D: -0.026750 Loss_G: 0.000459 Loss_D_real: -0.017115 Loss_D_fake 0.009635
[549/5000][155/535][56417] Loss_D: -0.026022 Loss_G: 0.007080 Loss_D_real: -0.009831 Loss_D_fake 0.016190
[549/5000][160/535][56418] Loss_D: -0.027092 Loss_G: -0.004681 Loss_D_real: 0.003597 Loss_D_fake 0.030690
[549/5000][165/535][56419] Loss_D: -0.026774 Loss_G: 0.014709 Loss_D_real: -0.026079 Loss_D_fake 0.000695
[549/5000][170/535][56420] Loss_D: -0.025420 Loss_G: 0.026488 Loss_D_real: -0.016200 Loss_D_fake 0.009221
[549/5000][175/535][56421] Loss_D: -0.026397 Loss_G: 0.011865 Loss_D_real: -0.011884 Loss_D_fake 0.014513
[549/5000][180/535][56422] Loss_D: -0.026566 Loss_G: 0.019681 Loss_D_real: -0.010010 Loss_D_fake 0.016556
[549/5000][185/535][56423] Loss_D: -0.025962 Loss_G: -0.011475 Loss_D_real: -0.004005 Loss_D_fake 0.021957
[549/5000][190/535][56424] Loss_D: -0.026168 Loss_G: 0.030709 Loss_D_real: -0.025219 Loss_D_fake 0.000949
[549/5000][195/535][56425] Loss_D: -0.024383 Loss_G: -0.016251 Loss_D_real: 0.005479 Loss_D_fake 0.029861
[549/5000][200/535][56426] Loss_D: -0.025259 Loss_G: -0.002454 Loss_D_real: -0.007620 Loss_D_fake 0.017638
[549/5000][205/535][56427] Loss_D: -0.026155 Loss_G: 0.014330 Loss_D_real: -0.016795 Loss_D_fake 0.009360
[549/5000][210/535][56428] Loss_D: -0.025450 Loss_G: 0.030430 Loss_D_real: -0.031072 Loss_D_fake -0.005622
[549/5000][215/535][56429] Loss_D: -0.026102 Loss_G: 0.007039 Loss_D_real: -0.016664 Loss_D_fake 0.009438
[549/5000][220/535][56430] Loss_D: -0.024931 Loss_G: 0.022733 Loss_D_real: -0.027969 Loss_D_fake -0.003038
[549/5000][225/535][56431] Loss_D: -0.025520 Loss_G: 0.013386 Loss_D_real: -0.014418 Loss_D_fake 0.011102
[549/5000][230/535][56432] Loss_D: -0.024864 Loss_G: 0.007426 Loss_D_real: -0.016107 Loss_D_fake 0.008758
[549/5000][235/535][56433] Loss_D: -0.024279 Loss_G: 0.041631 Loss_D_real: -0.031082 Loss_D_fake -0.006803
[549/5000][240/535][56434] Loss_D: -0.025422 Loss_G: -0.006533 Loss_D_real: -0.006196 Loss_D_fake 0.019225
[549/5000][245/535][56435] Loss_D: -0.024397 Loss_G: 0.018724 Loss_D_real: -0.020638 Loss_D_fake 0.003759
[549/5000][250/535][56436] Loss_D: -0.028426 Loss_G: -0.005028 Loss_D_real: 0.002739 Loss_D_fake 0.031164
[549/5000][255/535][56437] Loss_D: -0.025166 Loss_G: 0.009601 Loss_D_real: -0.019059 Loss_D_fake 0.006107
[549/5000][260/535][56438] Loss_D: -0.026237 Loss_G: 0.006464 Loss_D_real: -0.011890 Loss_D_fake 0.014347
[549/5000][265/535][56439] Loss_D: -0.025028 Loss_G: 0.026118 Loss_D_real: -0.023158 Loss_D_fake 0.001871
[549/5000][270/535][56440] Loss_D: -0.025156 Loss_G: -0.006157 Loss_D_real: 0.003291 Loss_D_fake 0.028447
[549/5000][275/535][56441] Loss_D: -0.025089 Loss_G: -0.004526 Loss_D_real: -0.000036 Loss_D_fake 0.025053
[549/5000][280/535][56442] Loss_D: -0.027019 Loss_G: 0.009756 Loss_D_real: -0.011303 Loss_D_fake 0.015716
[549/5000][285/535][56443] Loss_D: -0.026421 Loss_G: -0.008228 Loss_D_real: -0.003979 Loss_D_fake 0.022443
[549/5000][290/535][56444] Loss_D: -0.024895 Loss_G: 0.024788 Loss_D_real: -0.030558 Loss_D_fake -0.005663
[549/5000][295/535][56445] Loss_D: -0.026483 Loss_G: 0.019088 Loss_D_real: -0.026850 Loss_D_fake -0.000367
[549/5000][300/535][56446] Loss_D: -0.026131 Loss_G: 0.002611 Loss_D_real: -0.016604 Loss_D_fake 0.009527
[549/5000][305/535][56447] Loss_D: -0.026090 Loss_G: 0.031493 Loss_D_real: -0.031300 Loss_D_fake -0.005210
[549/5000][310/535][56448] Loss_D: -0.024978 Loss_G: 0.001471 Loss_D_real: 0.000650 Loss_D_fake 0.025628
[549/5000][315/535][56449] Loss_D: -0.026670 Loss_G: 0.002668 Loss_D_real: -0.004220 Loss_D_fake 0.022450
[549/5000][320/535][56450] Loss_D: -0.025689 Loss_G: 0.004385 Loss_D_real: -0.005756 Loss_D_fake 0.019933
[549/5000][325/535][56451] Loss_D: -0.024442 Loss_G: 0.003388 Loss_D_real: -0.019705 Loss_D_fake 0.004736
[549/5000][330/535][56452] Loss_D: -0.027838 Loss_G: 0.015771 Loss_D_real: -0.020556 Loss_D_fake 0.007282
[549/5000][335/535][56453] Loss_D: -0.026863 Loss_G: 0.012900 Loss_D_real: -0.011313 Loss_D_fake 0.015550
[549/5000][340/535][56454] Loss_D: -0.025649 Loss_G: 0.013126 Loss_D_real: -0.015312 Loss_D_fake 0.010337
[549/5000][345/535][56455] Loss_D: -0.026325 Loss_G: -0.008444 Loss_D_real: 0.002373 Loss_D_fake 0.028698
[549/5000][350/535][56456] Loss_D: -0.025168 Loss_G: 0.024308 Loss_D_real: -0.028511 Loss_D_fake -0.003343
[549/5000][355/535][56457] Loss_D: -0.025502 Loss_G: 0.001937 Loss_D_real: -0.012472 Loss_D_fake 0.013031
[549/5000][360/535][56458] Loss_D: -0.024955 Loss_G: 0.027872 Loss_D_real: -0.025056 Loss_D_fake -0.000101
[549/5000][365/535][56459] Loss_D: -0.025842 Loss_G: 0.010130 Loss_D_real: -0.010123 Loss_D_fake 0.015719
[549/5000][370/535][56460] Loss_D: -0.025655 Loss_G: 0.018577 Loss_D_real: -0.024650 Loss_D_fake 0.001005
[549/5000][375/535][56461] Loss_D: -0.026686 Loss_G: 0.033055 Loss_D_real: -0.028990 Loss_D_fake -0.002303
[549/5000][380/535][56462] Loss_D: -0.027122 Loss_G: 0.002426 Loss_D_real: -0.010139 Loss_D_fake 0.016982
[549/5000][385/535][56463] Loss_D: -0.025596 Loss_G: 0.013499 Loss_D_real: -0.008980 Loss_D_fake 0.016616
[549/5000][390/535][56464] Loss_D: -0.025417 Loss_G: 0.018702 Loss_D_real: -0.023790 Loss_D_fake 0.001627
[549/5000][395/535][56465] Loss_D: -0.024967 Loss_G: 0.016635 Loss_D_real: -0.023687 Loss_D_fake 0.001280
[549/5000][400/535][56466] Loss_D: -0.025424 Loss_G: 0.006345 Loss_D_real: -0.008091 Loss_D_fake 0.017333
[549/5000][405/535][56467] Loss_D: -0.025572 Loss_G: 0.011741 Loss_D_real: -0.017535 Loss_D_fake 0.008036
[549/5000][410/535][56468] Loss_D: -0.025768 Loss_G: 0.020273 Loss_D_real: -0.026989 Loss_D_fake -0.001221
[549/5000][415/535][56469] Loss_D: -0.024533 Loss_G: 0.030084 Loss_D_real: -0.034336 Loss_D_fake -0.009802
[549/5000][420/535][56470] Loss_D: -0.025724 Loss_G: 0.027751 Loss_D_real: -0.029751 Loss_D_fake -0.004026
[549/5000][425/535][56471] Loss_D: -0.023715 Loss_G: 0.042358 Loss_D_real: -0.044978 Loss_D_fake -0.021263
[549/5000][430/535][56472] Loss_D: -0.025036 Loss_G: 0.004778 Loss_D_real: -0.008197 Loss_D_fake 0.016839
[549/5000][435/535][56473] Loss_D: -0.024394 Loss_G: -0.003148 Loss_D_real: -0.015147 Loss_D_fake 0.009247
[549/5000][440/535][56474] Loss_D: -0.025139 Loss_G: 0.007576 Loss_D_real: -0.013095 Loss_D_fake 0.012044
[549/5000][445/535][56475] Loss_D: -0.024719 Loss_G: 0.017115 Loss_D_real: -0.022764 Loss_D_fake 0.001954
[549/5000][450/535][56476] Loss_D: -0.024399 Loss_G: 0.010334 Loss_D_real: -0.010177 Loss_D_fake 0.014222
[549/5000][455/535][56477] Loss_D: -0.025716 Loss_G: -0.012642 Loss_D_real: 0.006255 Loss_D_fake 0.031971
[549/5000][460/535][56478] Loss_D: -0.025352 Loss_G: 0.018983 Loss_D_real: -0.025492 Loss_D_fake -0.000140
[549/5000][465/535][56479] Loss_D: -0.024759 Loss_G: 0.005460 Loss_D_real: -0.019878 Loss_D_fake 0.004881
[549/5000][470/535][56480] Loss_D: -0.024833 Loss_G: 0.028431 Loss_D_real: -0.032528 Loss_D_fake -0.007695
[549/5000][475/535][56481] Loss_D: -0.025050 Loss_G: 0.027408 Loss_D_real: -0.024555 Loss_D_fake 0.000495
[549/5000][480/535][56482] Loss_D: -0.025670 Loss_G: -0.007023 Loss_D_real: -0.011390 Loss_D_fake 0.014281
[549/5000][485/535][56483] Loss_D: -0.025107 Loss_G: 0.019963 Loss_D_real: -0.014641 Loss_D_fake 0.010466
[549/5000][490/535][56484] Loss_D: -0.025660 Loss_G: 0.016642 Loss_D_real: -0.013834 Loss_D_fake 0.011826
[549/5000][495/535][56485] Loss_D: -0.025100 Loss_G: 0.028308 Loss_D_real: -0.022548 Loss_D_fake 0.002552
[549/5000][500/535][56486] Loss_D: -0.025732 Loss_G: 0.018902 Loss_D_real: -0.017507 Loss_D_fake 0.008225
[549/5000][505/535][56487] Loss_D: -0.026916 Loss_G: 0.017074 Loss_D_real: -0.030986 Loss_D_fake -0.004070
[549/5000][510/535][56488] Loss_D: -0.026425 Loss_G: 0.011775 Loss_D_real: -0.017404 Loss_D_fake 0.009021
[549/5000][515/535][56489] Loss_D: -0.027378 Loss_G: 0.022214 Loss_D_real: -0.017942 Loss_D_fake 0.009436
[549/5000][520/535][56490] Loss_D: -0.026700 Loss_G: 0.023298 Loss_D_real: -0.020980 Loss_D_fake 0.005720
[549/5000][525/535][56491] Loss_D: -0.025501 Loss_G: 0.030437 Loss_D_real: -0.033799 Loss_D_fake -0.008298
[549/5000][530/535][56492] Loss_D: -0.027131 Loss_G: 0.028818 Loss_D_real: -0.024964 Loss_D_fake 0.002167
[549/5000][535/535][56493] Loss_D: -0.026107 Loss_G: 0.004940 Loss_D_real: -0.007933 Loss_D_fake 0.018174
[550/5000][5/535][56494] Loss_D: -0.026530 Loss_G: 0.023516 Loss_D_real: -0.027636 Loss_D_fake -0.001106
[550/5000][10/535][56495] Loss_D: -0.026307 Loss_G: 0.010628 Loss_D_real: -0.016431 Loss_D_fake 0.009876
[550/5000][15/535][56496] Loss_D: -0.025236 Loss_G: 0.027021 Loss_D_real: -0.027761 Loss_D_fake -0.002525
[550/5000][20/535][56497] Loss_D: -0.026822 Loss_G: 0.009202 Loss_D_real: -0.013973 Loss_D_fake 0.012849
[550/5000][25/535][56498] Loss_D: -0.024593 Loss_G: 0.036012 Loss_D_real: -0.035964 Loss_D_fake -0.011371
[550/5000][30/535][56499] Loss_D: -0.026680 Loss_G: 0.012840 Loss_D_real: -0.008174 Loss_D_fake 0.018506
[550/5000][35/535][56500] Loss_D: -0.026150 Loss_G: -0.007283 Loss_D_real: -0.006002 Loss_D_fake 0.020148
[550/5000][135/535][56501] Loss_D: -0.028726 Loss_G: -0.007466 Loss_D_real: -0.014564 Loss_D_fake 0.014162
[550/5000][140/535][56502] Loss_D: -0.024540 Loss_G: 0.003569 Loss_D_real: -0.006245 Loss_D_fake 0.018294
[550/5000][145/535][56503] Loss_D: -0.025554 Loss_G: 0.006979 Loss_D_real: -0.022106 Loss_D_fake 0.003448
[550/5000][150/535][56504] Loss_D: -0.024871 Loss_G: 0.009920 Loss_D_real: -0.015634 Loss_D_fake 0.009237
[550/5000][155/535][56505] Loss_D: -0.026545 Loss_G: 0.009926 Loss_D_real: -0.002741 Loss_D_fake 0.023804
[550/5000][160/535][56506] Loss_D: -0.024703 Loss_G: 0.001368 Loss_D_real: -0.010881 Loss_D_fake 0.013822
[550/5000][165/535][56507] Loss_D: -0.024942 Loss_G: 0.019057 Loss_D_real: -0.030568 Loss_D_fake -0.005626
[550/5000][170/535][56508] Loss_D: -0.025470 Loss_G: 0.022977 Loss_D_real: -0.033407 Loss_D_fake -0.007937
[550/5000][175/535][56509] Loss_D: -0.026621 Loss_G: 0.029599 Loss_D_real: -0.023205 Loss_D_fake 0.003416
[550/5000][180/535][56510] Loss_D: -0.025275 Loss_G: -0.004841 Loss_D_real: -0.004614 Loss_D_fake 0.020660
[550/5000][185/535][56511] Loss_D: -0.025221 Loss_G: 0.007595 Loss_D_real: -0.020266 Loss_D_fake 0.004954
[550/5000][190/535][56512] Loss_D: -0.024441 Loss_G: -0.000263 Loss_D_real: -0.009485 Loss_D_fake 0.014956
[550/5000][195/535][56513] Loss_D: -0.025306 Loss_G: 0.012850 Loss_D_real: -0.020089 Loss_D_fake 0.005217
[550/5000][200/535][56514] Loss_D: -0.025604 Loss_G: 0.008772 Loss_D_real: -0.012026 Loss_D_fake 0.013579
[550/5000][205/535][56515] Loss_D: -0.026276 Loss_G: 0.013208 Loss_D_real: -0.021320 Loss_D_fake 0.004955
[550/5000][210/535][56516] Loss_D: -0.025975 Loss_G: 0.010503 Loss_D_real: -0.010875 Loss_D_fake 0.015100
[550/5000][215/535][56517] Loss_D: -0.024766 Loss_G: 0.035951 Loss_D_real: -0.036047 Loss_D_fake -0.011281
[550/5000][220/535][56518] Loss_D: -0.024765 Loss_G: -0.007242 Loss_D_real: -0.004916 Loss_D_fake 0.019849
[550/5000][225/535][56519] Loss_D: -0.026584 Loss_G: 0.013048 Loss_D_real: -0.018843 Loss_D_fake 0.007741
[550/5000][230/535][56520] Loss_D: -0.025740 Loss_G: 0.020872 Loss_D_real: -0.021881 Loss_D_fake 0.003859
[550/5000][235/535][56521] Loss_D: -0.024210 Loss_G: 0.020471 Loss_D_real: -0.021994 Loss_D_fake 0.002216
[550/5000][240/535][56522] Loss_D: -0.026522 Loss_G: 0.011713 Loss_D_real: -0.020376 Loss_D_fake 0.006146
[550/5000][245/535][56523] Loss_D: -0.025307 Loss_G: -0.010205 Loss_D_real: 0.002287 Loss_D_fake 0.027594
[550/5000][250/535][56524] Loss_D: -0.026359 Loss_G: 0.010340 Loss_D_real: -0.018467 Loss_D_fake 0.007892
[550/5000][255/535][56525] Loss_D: -0.025476 Loss_G: -0.000667 Loss_D_real: -0.004120 Loss_D_fake 0.021357
[550/5000][260/535][56526] Loss_D: -0.026798 Loss_G: 0.013534 Loss_D_real: -0.013239 Loss_D_fake 0.013559
[550/5000][265/535][56527] Loss_D: -0.025576 Loss_G: 0.031817 Loss_D_real: -0.026409 Loss_D_fake -0.000832
[550/5000][270/535][56528] Loss_D: -0.026661 Loss_G: 0.007852 Loss_D_real: -0.008418 Loss_D_fake 0.018243
[550/5000][275/535][56529] Loss_D: -0.024499 Loss_G: 0.022737 Loss_D_real: -0.031673 Loss_D_fake -0.007173
[550/5000][280/535][56530] Loss_D: -0.026334 Loss_G: 0.016399 Loss_D_real: -0.021344 Loss_D_fake 0.004989
[550/5000][285/535][56531] Loss_D: -0.026360 Loss_G: 0.018300 Loss_D_real: -0.025415 Loss_D_fake 0.000945
[550/5000][290/535][56532] Loss_D: -0.026788 Loss_G: 0.010511 Loss_D_real: -0.017667 Loss_D_fake 0.009120
[550/5000][295/535][56533] Loss_D: -0.026343 Loss_G: 0.008551 Loss_D_real: -0.016504 Loss_D_fake 0.009839
[550/5000][300/535][56534] Loss_D: -0.025965 Loss_G: -0.002040 Loss_D_real: 0.002027 Loss_D_fake 0.027992
[550/5000][305/535][56535] Loss_D: -0.025614 Loss_G: 0.014592 Loss_D_real: -0.020299 Loss_D_fake 0.005315
[550/5000][310/535][56536] Loss_D: -0.024935 Loss_G: -0.018421 Loss_D_real: -0.004916 Loss_D_fake 0.020020
[550/5000][315/535][56537] Loss_D: -0.025482 Loss_G: 0.022974 Loss_D_real: -0.018786 Loss_D_fake 0.006697
[550/5000][320/535][56538] Loss_D: -0.025169 Loss_G: 0.017922 Loss_D_real: -0.016674 Loss_D_fake 0.008494
[550/5000][325/535][56539] Loss_D: -0.025967 Loss_G: 0.022047 Loss_D_real: -0.024568 Loss_D_fake 0.001399
[550/5000][330/535][56540] Loss_D: -0.026087 Loss_G: -0.001285 Loss_D_real: -0.014281 Loss_D_fake 0.011806
[550/5000][335/535][56541] Loss_D: -0.026128 Loss_G: 0.023868 Loss_D_real: -0.023185 Loss_D_fake 0.002943
[550/5000][340/535][56542] Loss_D: -0.025551 Loss_G: -0.009289 Loss_D_real: -0.005122 Loss_D_fake 0.020430
[550/5000][345/535][56543] Loss_D: -0.025462 Loss_G: 0.006924 Loss_D_real: -0.011403 Loss_D_fake 0.014059
[550/5000][350/535][56544] Loss_D: -0.026238 Loss_G: 0.023446 Loss_D_real: -0.020348 Loss_D_fake 0.005890
[550/5000][355/535][56545] Loss_D: -0.024286 Loss_G: 0.008622 Loss_D_real: -0.020542 Loss_D_fake 0.003745
[550/5000][360/535][56546] Loss_D: -0.026339 Loss_G: 0.010244 Loss_D_real: -0.021162 Loss_D_fake 0.005177
[550/5000][365/535][56547] Loss_D: -0.024043 Loss_G: 0.032628 Loss_D_real: -0.036308 Loss_D_fake -0.012265
[550/5000][370/535][56548] Loss_D: -0.025062 Loss_G: -0.009441 Loss_D_real: -0.000293 Loss_D_fake 0.024769
[550/5000][375/535][56549] Loss_D: -0.024531 Loss_G: 0.025442 Loss_D_real: -0.023592 Loss_D_fake 0.000939
[550/5000][380/535][56550] Loss_D: -0.026105 Loss_G: 0.006321 Loss_D_real: -0.012430 Loss_D_fake 0.013675
[550/5000][385/535][56551] Loss_D: -0.026353 Loss_G: 0.033180 Loss_D_real: -0.019478 Loss_D_fake 0.006875
[550/5000][390/535][56552] Loss_D: -0.024276 Loss_G: -0.011984 Loss_D_real: 0.014636 Loss_D_fake 0.038912
[550/5000][395/535][56553] Loss_D: -0.024441 Loss_G: 0.020428 Loss_D_real: -0.030197 Loss_D_fake -0.005756
[550/5000][400/535][56554] Loss_D: -0.024424 Loss_G: 0.010817 Loss_D_real: -0.008101 Loss_D_fake 0.016324
[550/5000][405/535][56555] Loss_D: -0.025083 Loss_G: 0.003089 Loss_D_real: -0.005232 Loss_D_fake 0.019852
[550/5000][410/535][56556] Loss_D: -0.025929 Loss_G: 0.010854 Loss_D_real: -0.014937 Loss_D_fake 0.010992
[550/5000][415/535][56557] Loss_D: -0.024971 Loss_G: 0.001853 Loss_D_real: -0.011921 Loss_D_fake 0.013050
[550/5000][420/535][56558] Loss_D: -0.025221 Loss_G: 0.015478 Loss_D_real: -0.016536 Loss_D_fake 0.008685
[550/5000][425/535][56559] Loss_D: -0.026065 Loss_G: 0.003283 Loss_D_real: -0.012251 Loss_D_fake 0.013814
[550/5000][430/535][56560] Loss_D: -0.026554 Loss_G: 0.027078 Loss_D_real: -0.023499 Loss_D_fake 0.003055
[550/5000][435/535][56561] Loss_D: -0.026958 Loss_G: 0.011467 Loss_D_real: -0.015489 Loss_D_fake 0.011469
[550/5000][440/535][56562] Loss_D: -0.027072 Loss_G: 0.019563 Loss_D_real: -0.019558 Loss_D_fake 0.007515
[550/5000][445/535][56563] Loss_D: -0.025677 Loss_G: 0.000169 Loss_D_real: -0.000461 Loss_D_fake 0.025216
[550/5000][450/535][56564] Loss_D: -0.025121 Loss_G: 0.028248 Loss_D_real: -0.033000 Loss_D_fake -0.007879
[550/5000][455/535][56565] Loss_D: -0.025579 Loss_G: -0.006809 Loss_D_real: -0.001679 Loss_D_fake 0.023900
[550/5000][460/535][56566] Loss_D: -0.026244 Loss_G: 0.020737 Loss_D_real: -0.017054 Loss_D_fake 0.009190
[550/5000][465/535][56567] Loss_D: -0.025882 Loss_G: 0.026529 Loss_D_real: -0.033343 Loss_D_fake -0.007461
[550/5000][470/535][56568] Loss_D: -0.024831 Loss_G: -0.000505 Loss_D_real: -0.016587 Loss_D_fake 0.008244
[550/5000][475/535][56569] Loss_D: -0.025296 Loss_G: 0.003398 Loss_D_real: -0.000186 Loss_D_fake 0.025111
[550/5000][480/535][56570] Loss_D: -0.023026 Loss_G: 0.032718 Loss_D_real: -0.033359 Loss_D_fake -0.010333
[550/5000][485/535][56571] Loss_D: -0.026310 Loss_G: -0.000485 Loss_D_real: -0.004770 Loss_D_fake 0.021540
[550/5000][490/535][56572] Loss_D: -0.025561 Loss_G: 0.014345 Loss_D_real: -0.012527 Loss_D_fake 0.013035
[550/5000][495/535][56573] Loss_D: -0.025438 Loss_G: 0.025553 Loss_D_real: -0.023479 Loss_D_fake 0.001959
[550/5000][500/535][56574] Loss_D: -0.026142 Loss_G: 0.001604 Loss_D_real: -0.010218 Loss_D_fake 0.015925
[550/5000][505/535][56575] Loss_D: -0.025793 Loss_G: 0.006471 Loss_D_real: -0.010508 Loss_D_fake 0.015285
[550/5000][510/535][56576] Loss_D: -0.026796 Loss_G: 0.016999 Loss_D_real: -0.014111 Loss_D_fake 0.012685
[550/5000][515/535][56577] Loss_D: -0.025501 Loss_G: 0.023670 Loss_D_real: -0.025962 Loss_D_fake -0.000461
[550/5000][520/535][56578] Loss_D: -0.028736 Loss_G: 0.012071 Loss_D_real: -0.009727 Loss_D_fake 0.019009
[550/5000][525/535][56579] Loss_D: -0.024013 Loss_G: 0.029922 Loss_D_real: -0.042690 Loss_D_fake -0.018678
[550/5000][530/535][56580] Loss_D: -0.025389 Loss_G: 0.005483 Loss_D_real: -0.011327 Loss_D_fake 0.014062
[550/5000][535/535][56581] Loss_D: -0.029742 Loss_G: 0.003968 Loss_D_real: -0.045888 Loss_D_fake -0.016147
[551/5000][5/535][56582] Loss_D: -0.027865 Loss_G: 0.013777 Loss_D_real: -0.010376 Loss_D_fake 0.017489
[551/5000][10/535][56583] Loss_D: -0.025672 Loss_G: 0.021862 Loss_D_real: -0.027684 Loss_D_fake -0.002012
[551/5000][15/535][56584] Loss_D: -0.025167 Loss_G: 0.012639 Loss_D_real: -0.022705 Loss_D_fake 0.002462
[551/5000][20/535][56585] Loss_D: -0.025593 Loss_G: 0.026243 Loss_D_real: -0.026702 Loss_D_fake -0.001109
[551/5000][25/535][56586] Loss_D: -0.026418 Loss_G: 0.014874 Loss_D_real: -0.015566 Loss_D_fake 0.010851
[551/5000][30/535][56587] Loss_D: -0.026427 Loss_G: 0.001767 Loss_D_real: -0.004740 Loss_D_fake 0.021687
[551/5000][35/535][56588] Loss_D: -0.024443 Loss_G: -0.018877 Loss_D_real: 0.005377 Loss_D_fake 0.029820
[551/5000][40/535][56589] Loss_D: -0.024833 Loss_G: 0.005011 Loss_D_real: -0.022888 Loss_D_fake 0.001946
[551/5000][45/535][56590] Loss_D: -0.024989 Loss_G: 0.008960 Loss_D_real: -0.006949 Loss_D_fake 0.018039
[551/5000][50/535][56591] Loss_D: -0.024721 Loss_G: 0.012757 Loss_D_real: -0.012674 Loss_D_fake 0.012048
[551/5000][55/535][56592] Loss_D: -0.025406 Loss_G: 0.021179 Loss_D_real: -0.018956 Loss_D_fake 0.006450
[551/5000][60/535][56593] Loss_D: -0.026648 Loss_G: 0.015565 Loss_D_real: -0.017064 Loss_D_fake 0.009584
[551/5000][65/535][56594] Loss_D: -0.025756 Loss_G: -0.006600 Loss_D_real: 0.002342 Loss_D_fake 0.028098
[551/5000][70/535][56595] Loss_D: -0.026465 Loss_G: 0.017648 Loss_D_real: -0.020968 Loss_D_fake 0.005496
[551/5000][75/535][56596] Loss_D: -0.024613 Loss_G: 0.021693 Loss_D_real: -0.023443 Loss_D_fake 0.001169
[551/5000][80/535][56597] Loss_D: -0.026499 Loss_G: 0.019227 Loss_D_real: -0.017184 Loss_D_fake 0.009315
[551/5000][85/535][56598] Loss_D: -0.025312 Loss_G: -0.006556 Loss_D_real: -0.008607 Loss_D_fake 0.016705
[551/5000][90/535][56599] Loss_D: -0.025870 Loss_G: -0.001793 Loss_D_real: -0.006588 Loss_D_fake 0.019283
[551/5000][95/535][56600] Loss_D: -0.025193 Loss_G: 0.019506 Loss_D_real: -0.018024 Loss_D_fake 0.007168
[551/5000][100/535][56601] Loss_D: -0.026238 Loss_G: 0.007441 Loss_D_real: -0.015684 Loss_D_fake 0.010553
[551/5000][105/535][56602] Loss_D: -0.024774 Loss_G: 0.017947 Loss_D_real: -0.032664 Loss_D_fake -0.007890
[551/5000][110/535][56603] Loss_D: -0.025474 Loss_G: 0.029317 Loss_D_real: -0.025923 Loss_D_fake -0.000450
[551/5000][115/535][56604] Loss_D: -0.024420 Loss_G: 0.021330 Loss_D_real: -0.013950 Loss_D_fake 0.010470
[551/5000][120/535][56605] Loss_D: -0.026132 Loss_G: 0.022277 Loss_D_real: -0.022957 Loss_D_fake 0.003174
[551/5000][125/535][56606] Loss_D: -0.024721 Loss_G: 0.023053 Loss_D_real: -0.010237 Loss_D_fake 0.014484
[551/5000][130/535][56607] Loss_D: -0.025705 Loss_G: 0.016756 Loss_D_real: -0.009044 Loss_D_fake 0.016661
[551/5000][135/535][56608] Loss_D: -0.025574 Loss_G: -0.001318 Loss_D_real: -0.008449 Loss_D_fake 0.017125
[551/5000][140/535][56609] Loss_D: -0.025048 Loss_G: 0.017735 Loss_D_real: -0.027388 Loss_D_fake -0.002340
[551/5000][145/535][56610] Loss_D: -0.026153 Loss_G: -0.013507 Loss_D_real: 0.000778 Loss_D_fake 0.026931
[551/5000][150/535][56611] Loss_D: -0.026264 Loss_G: 0.012010 Loss_D_real: -0.011268 Loss_D_fake 0.014997
[551/5000][155/535][56612] Loss_D: -0.026161 Loss_G: 0.033689 Loss_D_real: -0.027394 Loss_D_fake -0.001233
[551/5000][160/535][56613] Loss_D: -0.025214 Loss_G: 0.020959 Loss_D_real: -0.020883 Loss_D_fake 0.004332
[551/5000][165/535][56614] Loss_D: -0.025472 Loss_G: 0.009569 Loss_D_real: -0.011682 Loss_D_fake 0.013790
[551/5000][170/535][56615] Loss_D: -0.026079 Loss_G: 0.007900 Loss_D_real: -0.009519 Loss_D_fake 0.016559
[551/5000][175/535][56616] Loss_D: -0.026255 Loss_G: 0.024051 Loss_D_real: -0.023810 Loss_D_fake 0.002445
[551/5000][180/535][56617] Loss_D: -0.026234 Loss_G: 0.011941 Loss_D_real: -0.022792 Loss_D_fake 0.003442
[551/5000][185/535][56618] Loss_D: -0.025537 Loss_G: 0.026575 Loss_D_real: -0.022294 Loss_D_fake 0.003243
[551/5000][190/535][56619] Loss_D: -0.026165 Loss_G: 0.034507 Loss_D_real: -0.019495 Loss_D_fake 0.006670
[551/5000][195/535][56620] Loss_D: -0.026232 Loss_G: 0.002663 Loss_D_real: -0.011276 Loss_D_fake 0.014956
[551/5000][200/535][56621] Loss_D: -0.025994 Loss_G: 0.030211 Loss_D_real: -0.029631 Loss_D_fake -0.003637
[551/5000][205/535][56622] Loss_D: -0.026869 Loss_G: 0.003335 Loss_D_real: -0.015710 Loss_D_fake 0.011158
[551/5000][210/535][56623] Loss_D: -0.025725 Loss_G: 0.027361 Loss_D_real: -0.016160 Loss_D_fake 0.009564
[551/5000][215/535][56624] Loss_D: -0.026230 Loss_G: 0.010033 Loss_D_real: -0.006120 Loss_D_fake 0.020111
[551/5000][220/535][56625] Loss_D: -0.026921 Loss_G: 0.006451 Loss_D_real: -0.006225 Loss_D_fake 0.020696
[551/5000][225/535][56626] Loss_D: -0.025321 Loss_G: 0.030272 Loss_D_real: -0.024392 Loss_D_fake 0.000928
[551/5000][230/535][56627] Loss_D: -0.025796 Loss_G: 0.002684 Loss_D_real: -0.004489 Loss_D_fake 0.021307
[551/5000][235/535][56628] Loss_D: -0.023343 Loss_G: 0.035288 Loss_D_real: -0.034027 Loss_D_fake -0.010684
[551/5000][240/535][56629] Loss_D: -0.026231 Loss_G: -0.008187 Loss_D_real: -0.006190 Loss_D_fake 0.020040
[551/5000][245/535][56630] Loss_D: -0.024899 Loss_G: 0.015441 Loss_D_real: -0.023851 Loss_D_fake 0.001048
[551/5000][250/535][56631] Loss_D: -0.027002 Loss_G: 0.004444 Loss_D_real: -0.016402 Loss_D_fake 0.010600
[551/5000][255/535][56632] Loss_D: -0.026468 Loss_G: 0.014131 Loss_D_real: -0.012844 Loss_D_fake 0.013624
[551/5000][260/535][56633] Loss_D: -0.027866 Loss_G: 0.025616 Loss_D_real: -0.025205 Loss_D_fake 0.002661
[551/5000][265/535][56634] Loss_D: -0.026725 Loss_G: 0.012952 Loss_D_real: -0.023119 Loss_D_fake 0.003606
[551/5000][270/535][56635] Loss_D: -0.024607 Loss_G: 0.022496 Loss_D_real: -0.031122 Loss_D_fake -0.006515
[551/5000][275/535][56636] Loss_D: -0.025162 Loss_G: 0.028627 Loss_D_real: -0.029601 Loss_D_fake -0.004438
[551/5000][280/535][56637] Loss_D: -0.027197 Loss_G: 0.010138 Loss_D_real: -0.015699 Loss_D_fake 0.011498
[551/5000][285/535][56638] Loss_D: -0.025205 Loss_G: 0.020200 Loss_D_real: -0.028451 Loss_D_fake -0.003246
[551/5000][290/535][56639] Loss_D: -0.025439 Loss_G: 0.016841 Loss_D_real: -0.009996 Loss_D_fake 0.015442
[551/5000][295/535][56640] Loss_D: -0.025500 Loss_G: 0.006019 Loss_D_real: -0.023489 Loss_D_fake 0.002011
[551/5000][300/535][56641] Loss_D: -0.026759 Loss_G: 0.024162 Loss_D_real: -0.032593 Loss_D_fake -0.005834
[551/5000][305/535][56642] Loss_D: -0.026415 Loss_G: -0.009298 Loss_D_real: -0.003728 Loss_D_fake 0.022686
[551/5000][310/535][56643] Loss_D: -0.024589 Loss_G: 0.027798 Loss_D_real: -0.021406 Loss_D_fake 0.003183
[551/5000][315/535][56644] Loss_D: -0.024700 Loss_G: -0.004991 Loss_D_real: -0.011339 Loss_D_fake 0.013361
[551/5000][320/535][56645] Loss_D: -0.026145 Loss_G: 0.011489 Loss_D_real: -0.011941 Loss_D_fake 0.014204
[551/5000][325/535][56646] Loss_D: -0.024492 Loss_G: 0.020079 Loss_D_real: -0.029743 Loss_D_fake -0.005251
[551/5000][330/535][56647] Loss_D: -0.025738 Loss_G: 0.021208 Loss_D_real: -0.025557 Loss_D_fake 0.000180
[551/5000][335/535][56648] Loss_D: -0.025990 Loss_G: 0.004475 Loss_D_real: -0.015303 Loss_D_fake 0.010687
[551/5000][340/535][56649] Loss_D: -0.026105 Loss_G: 0.009324 Loss_D_real: -0.009891 Loss_D_fake 0.016214
[551/5000][345/535][56650] Loss_D: -0.025580 Loss_G: 0.018728 Loss_D_real: -0.006377 Loss_D_fake 0.019202
[551/5000][350/535][56651] Loss_D: -0.025061 Loss_G: 0.024738 Loss_D_real: -0.027001 Loss_D_fake -0.001940
[551/5000][355/535][56652] Loss_D: -0.026672 Loss_G: -0.003199 Loss_D_real: -0.006566 Loss_D_fake 0.020106
[551/5000][360/535][56653] Loss_D: -0.026652 Loss_G: 0.020988 Loss_D_real: -0.021486 Loss_D_fake 0.005167
[551/5000][365/535][56654] Loss_D: -0.027079 Loss_G: -0.001273 Loss_D_real: -0.015921 Loss_D_fake 0.011157
[551/5000][370/535][56655] Loss_D: -0.024757 Loss_G: -0.003438 Loss_D_real: -0.001684 Loss_D_fake 0.023073
[551/5000][375/535][56656] Loss_D: -0.024882 Loss_G: 0.015249 Loss_D_real: -0.019903 Loss_D_fake 0.004979
[551/5000][380/535][56657] Loss_D: -0.026814 Loss_G: 0.017260 Loss_D_real: -0.021165 Loss_D_fake 0.005649
[551/5000][385/535][56658] Loss_D: -0.025084 Loss_G: 0.027357 Loss_D_real: -0.033890 Loss_D_fake -0.008805
[551/5000][390/535][56659] Loss_D: -0.025101 Loss_G: 0.017738 Loss_D_real: -0.017956 Loss_D_fake 0.007146
[551/5000][395/535][56660] Loss_D: -0.026523 Loss_G: 0.013123 Loss_D_real: -0.020207 Loss_D_fake 0.006316
[551/5000][400/535][56661] Loss_D: -0.025825 Loss_G: 0.023723 Loss_D_real: -0.033995 Loss_D_fake -0.008170
[551/5000][405/535][56662] Loss_D: -0.026422 Loss_G: -0.004980 Loss_D_real: -0.007645 Loss_D_fake 0.018776
[551/5000][410/535][56663] Loss_D: -0.025844 Loss_G: -0.015967 Loss_D_real: -0.000680 Loss_D_fake 0.025164
[551/5000][415/535][56664] Loss_D: -0.025995 Loss_G: 0.004779 Loss_D_real: -0.010270 Loss_D_fake 0.015725
[551/5000][420/535][56665] Loss_D: -0.023401 Loss_G: -0.011873 Loss_D_real: -0.002023 Loss_D_fake 0.021378
[551/5000][425/535][56666] Loss_D: -0.025266 Loss_G: 0.022815 Loss_D_real: -0.014841 Loss_D_fake 0.010425
[551/5000][430/535][56667] Loss_D: -0.026317 Loss_G: -0.003961 Loss_D_real: -0.004789 Loss_D_fake 0.021528
[551/5000][435/535][56668] Loss_D: -0.026825 Loss_G: 0.022631 Loss_D_real: -0.020830 Loss_D_fake 0.005995
[551/5000][440/535][56669] Loss_D: -0.024593 Loss_G: -0.003904 Loss_D_real: -0.000358 Loss_D_fake 0.024235
[551/5000][445/535][56670] Loss_D: -0.027039 Loss_G: 0.015285 Loss_D_real: -0.017997 Loss_D_fake 0.009041
[551/5000][450/535][56671] Loss_D: -0.025982 Loss_G: 0.016446 Loss_D_real: -0.024245 Loss_D_fake 0.001737
[551/5000][455/535][56672] Loss_D: -0.026845 Loss_G: 0.022964 Loss_D_real: -0.018393 Loss_D_fake 0.008451
[551/5000][460/535][56673] Loss_D: -0.025575 Loss_G: -0.004100 Loss_D_real: -0.006217 Loss_D_fake 0.019357
[551/5000][465/535][56674] Loss_D: -0.025874 Loss_G: 0.013838 Loss_D_real: -0.015271 Loss_D_fake 0.010603
[551/5000][470/535][56675] Loss_D: -0.026324 Loss_G: 0.012661 Loss_D_real: -0.022644 Loss_D_fake 0.003680
[551/5000][475/535][56676] Loss_D: -0.027047 Loss_G: 0.003266 Loss_D_real: -0.016876 Loss_D_fake 0.010171
[551/5000][480/535][56677] Loss_D: -0.025390 Loss_G: -0.005043 Loss_D_real: 0.004595 Loss_D_fake 0.029985
[551/5000][485/535][56678] Loss_D: -0.024079 Loss_G: 0.029618 Loss_D_real: -0.027440 Loss_D_fake -0.003362
[551/5000][490/535][56679] Loss_D: -0.024811 Loss_G: -0.002402 Loss_D_real: -0.009138 Loss_D_fake 0.015674
[551/5000][495/535][56680] Loss_D: -0.024066 Loss_G: 0.014719 Loss_D_real: -0.011510 Loss_D_fake 0.012556
[551/5000][500/535][56681] Loss_D: -0.027354 Loss_G: 0.025704 Loss_D_real: -0.022258 Loss_D_fake 0.005096
[551/5000][505/535][56682] Loss_D: -0.025229 Loss_G: -0.001771 Loss_D_real: -0.011694 Loss_D_fake 0.013534
[551/5000][510/535][56683] Loss_D: -0.026103 Loss_G: 0.019466 Loss_D_real: -0.017280 Loss_D_fake 0.008824
[551/5000][515/535][56684] Loss_D: -0.026931 Loss_G: 0.018563 Loss_D_real: -0.019619 Loss_D_fake 0.007313
[551/5000][520/535][56685] Loss_D: -0.026685 Loss_G: 0.001466 Loss_D_real: -0.006415 Loss_D_fake 0.020269
[551/5000][525/535][56686] Loss_D: -0.024887 Loss_G: 0.019258 Loss_D_real: -0.021845 Loss_D_fake 0.003042
[551/5000][530/535][56687] Loss_D: -0.025862 Loss_G: 0.014661 Loss_D_real: -0.014144 Loss_D_fake 0.011719
[551/5000][535/535][56688] Loss_D: -0.027136 Loss_G: 0.043454 Loss_D_real: -0.017769 Loss_D_fake 0.009367
[552/5000][5/535][56689] Loss_D: -0.026740 Loss_G: 0.009227 Loss_D_real: -0.019925 Loss_D_fake 0.006814
[552/5000][10/535][56690] Loss_D: -0.026021 Loss_G: 0.008556 Loss_D_real: -0.012801 Loss_D_fake 0.013220
[552/5000][15/535][56691] Loss_D: -0.025739 Loss_G: 0.024108 Loss_D_real: -0.022451 Loss_D_fake 0.003288
[552/5000][20/535][56692] Loss_D: -0.025326 Loss_G: -0.002978 Loss_D_real: -0.003487 Loss_D_fake 0.021840
[552/5000][25/535][56693] Loss_D: -0.024776 Loss_G: 0.009858 Loss_D_real: -0.015231 Loss_D_fake 0.009546
[552/5000][30/535][56694] Loss_D: -0.024359 Loss_G: 0.038369 Loss_D_real: -0.029470 Loss_D_fake -0.005112
[552/5000][35/535][56695] Loss_D: -0.025058 Loss_G: 0.001078 Loss_D_real: -0.001248 Loss_D_fake 0.023810
[552/5000][40/535][56696] Loss_D: -0.024112 Loss_G: 0.029031 Loss_D_real: -0.030143 Loss_D_fake -0.006031
[552/5000][45/535][56697] Loss_D: -0.025236 Loss_G: -0.003132 Loss_D_real: -0.001341 Loss_D_fake 0.023896
[552/5000][50/535][56698] Loss_D: -0.024413 Loss_G: 0.030684 Loss_D_real: -0.028180 Loss_D_fake -0.003767
[552/5000][55/535][56699] Loss_D: -0.022882 Loss_G: 0.030486 Loss_D_real: -0.030642 Loss_D_fake -0.007760
[552/5000][60/535][56700] Loss_D: -0.024445 Loss_G: -0.013410 Loss_D_real: 0.007941 Loss_D_fake 0.032386
[552/5000][65/535][56701] Loss_D: -0.025210 Loss_G: 0.015755 Loss_D_real: -0.024203 Loss_D_fake 0.001007
[552/5000][70/535][56702] Loss_D: -0.026062 Loss_G: 0.012857 Loss_D_real: -0.024991 Loss_D_fake 0.001070
[552/5000][75/535][56703] Loss_D: -0.026201 Loss_G: 0.012163 Loss_D_real: -0.021741 Loss_D_fake 0.004460
[552/5000][80/535][56704] Loss_D: -0.026053 Loss_G: 0.028834 Loss_D_real: -0.032622 Loss_D_fake -0.006569
[552/5000][85/535][56705] Loss_D: -0.025741 Loss_G: 0.009860 Loss_D_real: -0.009685 Loss_D_fake 0.016056
[552/5000][90/535][56706] Loss_D: -0.024476 Loss_G: 0.004138 Loss_D_real: -0.006568 Loss_D_fake 0.017908
[552/5000][95/535][56707] Loss_D: -0.025528 Loss_G: 0.009067 Loss_D_real: -0.016240 Loss_D_fake 0.009288
[552/5000][100/535][56708] Loss_D: -0.025783 Loss_G: 0.020039 Loss_D_real: -0.024793 Loss_D_fake 0.000990
[552/5000][105/535][56709] Loss_D: -0.024421 Loss_G: 0.016420 Loss_D_real: -0.018796 Loss_D_fake 0.005625
[552/5000][110/535][56710] Loss_D: -0.025306 Loss_G: 0.016271 Loss_D_real: -0.012511 Loss_D_fake 0.012795
[552/5000][115/535][56711] Loss_D: -0.023633 Loss_G: 0.009919 Loss_D_real: -0.006743 Loss_D_fake 0.016890
[552/5000][120/535][56712] Loss_D: -0.024808 Loss_G: 0.019322 Loss_D_real: -0.017314 Loss_D_fake 0.007494
[552/5000][125/535][56713] Loss_D: -0.025158 Loss_G: 0.022755 Loss_D_real: -0.023472 Loss_D_fake 0.001686
[552/5000][130/535][56714] Loss_D: -0.025942 Loss_G: 0.008151 Loss_D_real: -0.010535 Loss_D_fake 0.015407
[552/5000][135/535][56715] Loss_D: -0.025508 Loss_G: 0.010350 Loss_D_real: -0.011368 Loss_D_fake 0.014140
[552/5000][140/535][56716] Loss_D: -0.025673 Loss_G: 0.015186 Loss_D_real: -0.012788 Loss_D_fake 0.012885
[552/5000][145/535][56717] Loss_D: -0.027310 Loss_G: 0.015429 Loss_D_real: -0.026316 Loss_D_fake 0.000994
[552/5000][150/535][56718] Loss_D: -0.026711 Loss_G: 0.019408 Loss_D_real: -0.011979 Loss_D_fake 0.014732
[552/5000][155/535][56719] Loss_D: -0.025555 Loss_G: -0.009009 Loss_D_real: 0.007199 Loss_D_fake 0.032754
[552/5000][160/535][56720] Loss_D: -0.026180 Loss_G: 0.020552 Loss_D_real: -0.026521 Loss_D_fake -0.000341
[552/5000][165/535][56721] Loss_D: -0.027749 Loss_G: -0.002318 Loss_D_real: -0.020974 Loss_D_fake 0.006774
[552/5000][170/535][56722] Loss_D: -0.025894 Loss_G: -0.005620 Loss_D_real: -0.003198 Loss_D_fake 0.022696
[552/5000][175/535][56723] Loss_D: -0.025160 Loss_G: 0.009147 Loss_D_real: -0.002236 Loss_D_fake 0.022924
[552/5000][180/535][56724] Loss_D: -0.025980 Loss_G: 0.023413 Loss_D_real: -0.032421 Loss_D_fake -0.006442
[552/5000][185/535][56725] Loss_D: -0.026489 Loss_G: 0.014586 Loss_D_real: -0.011729 Loss_D_fake 0.014760
[552/5000][190/535][56726] Loss_D: -0.025904 Loss_G: 0.011958 Loss_D_real: -0.023231 Loss_D_fake 0.002673
[552/5000][195/535][56727] Loss_D: -0.026418 Loss_G: 0.014386 Loss_D_real: -0.026826 Loss_D_fake -0.000408
[552/5000][200/535][56728] Loss_D: -0.024760 Loss_G: -0.014571 Loss_D_real: -0.002538 Loss_D_fake 0.022222
[552/5000][205/535][56729] Loss_D: -0.024314 Loss_G: 0.020270 Loss_D_real: -0.032864 Loss_D_fake -0.008550
[552/5000][210/535][56730] Loss_D: -0.023853 Loss_G: 0.031136 Loss_D_real: -0.021801 Loss_D_fake 0.002052
[552/5000][215/535][56731] Loss_D: -0.026477 Loss_G: 0.003481 Loss_D_real: -0.003859 Loss_D_fake 0.022619
[552/5000][220/535][56732] Loss_D: -0.026530 Loss_G: 0.015605 Loss_D_real: -0.019629 Loss_D_fake 0.006901
[552/5000][225/535][56733] Loss_D: -0.025338 Loss_G: -0.000409 Loss_D_real: -0.017377 Loss_D_fake 0.007961
[552/5000][230/535][56734] Loss_D: -0.026759 Loss_G: 0.014763 Loss_D_real: -0.017725 Loss_D_fake 0.009034
[552/5000][235/535][56735] Loss_D: -0.026712 Loss_G: 0.012246 Loss_D_real: -0.018249 Loss_D_fake 0.008464
[552/5000][240/535][56736] Loss_D: -0.025201 Loss_G: 0.002700 Loss_D_real: -0.004665 Loss_D_fake 0.020536
[552/5000][245/535][56737] Loss_D: -0.026296 Loss_G: 0.005701 Loss_D_real: -0.005955 Loss_D_fake 0.020340
[552/5000][250/535][56738] Loss_D: -0.025412 Loss_G: 0.019380 Loss_D_real: -0.014530 Loss_D_fake 0.010882
[552/5000][255/535][56739] Loss_D: -0.025382 Loss_G: 0.024071 Loss_D_real: -0.032118 Loss_D_fake -0.006736
[552/5000][260/535][56740] Loss_D: -0.024800 Loss_G: -0.004543 Loss_D_real: -0.003705 Loss_D_fake 0.021095
[552/5000][265/535][56741] Loss_D: -0.025568 Loss_G: 0.029103 Loss_D_real: -0.027648 Loss_D_fake -0.002080
[552/5000][270/535][56742] Loss_D: -0.027000 Loss_G: 0.013170 Loss_D_real: -0.024255 Loss_D_fake 0.002746
[552/5000][275/535][56743] Loss_D: -0.025098 Loss_G: -0.007717 Loss_D_real: 0.010601 Loss_D_fake 0.035699
[552/5000][280/535][56744] Loss_D: -0.023504 Loss_G: 0.030987 Loss_D_real: -0.031426 Loss_D_fake -0.007922
[552/5000][285/535][56745] Loss_D: -0.025014 Loss_G: -0.017533 Loss_D_real: 0.003935 Loss_D_fake 0.028949
[552/5000][290/535][56746] Loss_D: -0.026708 Loss_G: 0.021033 Loss_D_real: -0.029206 Loss_D_fake -0.002498
[552/5000][295/535][56747] Loss_D: -0.026858 Loss_G: 0.003523 Loss_D_real: -0.008117 Loss_D_fake 0.018741
[552/5000][300/535][56748] Loss_D: -0.027595 Loss_G: 0.016266 Loss_D_real: -0.006080 Loss_D_fake 0.021515
[552/5000][305/535][56749] Loss_D: -0.026815 Loss_G: 0.018239 Loss_D_real: -0.013345 Loss_D_fake 0.013471
[552/5000][310/535][56750] Loss_D: -0.027665 Loss_G: 0.010802 Loss_D_real: -0.006860 Loss_D_fake 0.020806
[552/5000][315/535][56751] Loss_D: -0.026489 Loss_G: 0.003380 Loss_D_real: -0.003695 Loss_D_fake 0.022794
[552/5000][320/535][56752] Loss_D: -0.027461 Loss_G: 0.015005 Loss_D_real: -0.024167 Loss_D_fake 0.003294
[552/5000][325/535][56753] Loss_D: -0.026576 Loss_G: 0.023902 Loss_D_real: -0.022388 Loss_D_fake 0.004188
[552/5000][330/535][56754] Loss_D: -0.025487 Loss_G: 0.020181 Loss_D_real: -0.022113 Loss_D_fake 0.003374
[552/5000][335/535][56755] Loss_D: -0.026635 Loss_G: 0.000332 Loss_D_real: -0.004084 Loss_D_fake 0.022551
[552/5000][340/535][56756] Loss_D: -0.025437 Loss_G: 0.016858 Loss_D_real: -0.019502 Loss_D_fake 0.005936
[552/5000][345/535][56757] Loss_D: -0.024903 Loss_G: 0.015052 Loss_D_real: -0.013077 Loss_D_fake 0.011826
[552/5000][350/535][56758] Loss_D: -0.025802 Loss_G: 0.022763 Loss_D_real: -0.023258 Loss_D_fake 0.002544
[552/5000][355/535][56759] Loss_D: -0.025142 Loss_G: 0.016399 Loss_D_real: -0.010948 Loss_D_fake 0.014194
[552/5000][360/535][56760] Loss_D: -0.023637 Loss_G: 0.029707 Loss_D_real: -0.036668 Loss_D_fake -0.013031
[552/5000][365/535][56761] Loss_D: -0.026728 Loss_G: 0.005084 Loss_D_real: -0.014810 Loss_D_fake 0.011918
[552/5000][370/535][56762] Loss_D: -0.026662 Loss_G: 0.013443 Loss_D_real: -0.017722 Loss_D_fake 0.008940
[552/5000][375/535][56763] Loss_D: -0.025193 Loss_G: 0.013102 Loss_D_real: -0.008847 Loss_D_fake 0.016346
[552/5000][380/535][56764] Loss_D: -0.027253 Loss_G: 0.026847 Loss_D_real: -0.025586 Loss_D_fake 0.001667
[552/5000][385/535][56765] Loss_D: -0.025391 Loss_G: 0.020108 Loss_D_real: -0.026706 Loss_D_fake -0.001315
[552/5000][390/535][56766] Loss_D: -0.024716 Loss_G: 0.014992 Loss_D_real: -0.017146 Loss_D_fake 0.007569
[552/5000][395/535][56767] Loss_D: -0.025468 Loss_G: 0.009825 Loss_D_real: -0.009901 Loss_D_fake 0.015566
[552/5000][400/535][56768] Loss_D: -0.024557 Loss_G: 0.017816 Loss_D_real: -0.021870 Loss_D_fake 0.002687
[552/5000][405/535][56769] Loss_D: -0.025007 Loss_G: 0.029935 Loss_D_real: -0.030640 Loss_D_fake -0.005632
[552/5000][410/535][56770] Loss_D: -0.025328 Loss_G: -0.011818 Loss_D_real: -0.001279 Loss_D_fake 0.024049
[552/5000][415/535][56771] Loss_D: -0.025914 Loss_G: 0.004401 Loss_D_real: -0.010618 Loss_D_fake 0.015295
[552/5000][420/535][56772] Loss_D: -0.025922 Loss_G: 0.003052 Loss_D_real: -0.016392 Loss_D_fake 0.009530
[552/5000][425/535][56773] Loss_D: -0.025647 Loss_G: 0.014901 Loss_D_real: -0.023362 Loss_D_fake 0.002285
[552/5000][430/535][56774] Loss_D: -0.025231 Loss_G: 0.016112 Loss_D_real: -0.011737 Loss_D_fake 0.013494
[552/5000][435/535][56775] Loss_D: -0.026951 Loss_G: 0.013427 Loss_D_real: -0.009379 Loss_D_fake 0.017572
[552/5000][440/535][56776] Loss_D: -0.026578 Loss_G: 0.007224 Loss_D_real: -0.019236 Loss_D_fake 0.007342
[552/5000][445/535][56777] Loss_D: -0.025359 Loss_G: -0.002405 Loss_D_real: -0.008372 Loss_D_fake 0.016987
[552/5000][450/535][56778] Loss_D: -0.026514 Loss_G: 0.015147 Loss_D_real: -0.024578 Loss_D_fake 0.001937
[552/5000][455/535][56779] Loss_D: -0.025560 Loss_G: 0.028882 Loss_D_real: -0.025017 Loss_D_fake 0.000543
[552/5000][460/535][56780] Loss_D: -0.025579 Loss_G: 0.021153 Loss_D_real: -0.031987 Loss_D_fake -0.006408
[552/5000][465/535][56781] Loss_D: -0.028114 Loss_G: 0.019448 Loss_D_real: -0.020429 Loss_D_fake 0.007685
[552/5000][470/535][56782] Loss_D: -0.025668 Loss_G: -0.023089 Loss_D_real: -0.010487 Loss_D_fake 0.015182
[552/5000][475/535][56783] Loss_D: -0.025662 Loss_G: 0.024533 Loss_D_real: -0.025961 Loss_D_fake -0.000298
[552/5000][480/535][56784] Loss_D: -0.025945 Loss_G: -0.000074 Loss_D_real: -0.009357 Loss_D_fake 0.016588
[552/5000][485/535][56785] Loss_D: -0.023933 Loss_G: 0.029193 Loss_D_real: -0.029936 Loss_D_fake -0.006003
[552/5000][490/535][56786] Loss_D: -0.026660 Loss_G: 0.018559 Loss_D_real: -0.013852 Loss_D_fake 0.012808
[552/5000][495/535][56787] Loss_D: -0.026462 Loss_G: 0.008859 Loss_D_real: -0.019178 Loss_D_fake 0.007284
[552/5000][500/535][56788] Loss_D: -0.026128 Loss_G: 0.009028 Loss_D_real: -0.011112 Loss_D_fake 0.015017
[552/5000][505/535][56789] Loss_D: -0.026684 Loss_G: 0.011290 Loss_D_real: -0.021625 Loss_D_fake 0.005059
[552/5000][510/535][56790] Loss_D: -0.024898 Loss_G: 0.029830 Loss_D_real: -0.034419 Loss_D_fake -0.009521
[552/5000][515/535][56791] Loss_D: -0.025795 Loss_G: -0.003764 Loss_D_real: -0.009839 Loss_D_fake 0.015956
[552/5000][520/535][56792] Loss_D: -0.026060 Loss_G: 0.018541 Loss_D_real: -0.021142 Loss_D_fake 0.004918
[552/5000][525/535][56793] Loss_D: -0.026725 Loss_G: 0.020104 Loss_D_real: -0.018112 Loss_D_fake 0.008612
[552/5000][530/535][56794] Loss_D: -0.024724 Loss_G: 0.033832 Loss_D_real: -0.026295 Loss_D_fake -0.001570
[552/5000][535/535][56795] Loss_D: -0.026040 Loss_G: -0.003652 Loss_D_real: -0.008619 Loss_D_fake 0.017421
[553/5000][5/535][56796] Loss_D: -0.025029 Loss_G: 0.027757 Loss_D_real: -0.027056 Loss_D_fake -0.002027
[553/5000][10/535][56797] Loss_D: -0.022899 Loss_G: -0.017105 Loss_D_real: 0.007297 Loss_D_fake 0.030196
[553/5000][15/535][56798] Loss_D: -0.025442 Loss_G: 0.010193 Loss_D_real: -0.013973 Loss_D_fake 0.011469
[553/5000][20/535][56799] Loss_D: -0.026038 Loss_G: 0.019396 Loss_D_real: -0.016063 Loss_D_fake 0.009975
[553/5000][25/535][56800] Loss_D: -0.024952 Loss_G: 0.028737 Loss_D_real: -0.026866 Loss_D_fake -0.001914
[553/5000][30/535][56801] Loss_D: -0.025820 Loss_G: -0.008260 Loss_D_real: -0.011125 Loss_D_fake 0.014695
[553/5000][35/535][56802] Loss_D: -0.024639 Loss_G: 0.016724 Loss_D_real: -0.022131 Loss_D_fake 0.002508
[553/5000][40/535][56803] Loss_D: -0.024542 Loss_G: -0.011920 Loss_D_real: -0.011169 Loss_D_fake 0.013372
[553/5000][45/535][56804] Loss_D: -0.026834 Loss_G: 0.018224 Loss_D_real: -0.020205 Loss_D_fake 0.006629
[553/5000][50/535][56805] Loss_D: -0.024185 Loss_G: 0.023598 Loss_D_real: -0.028994 Loss_D_fake -0.004809
[553/5000][55/535][56806] Loss_D: -0.026030 Loss_G: 0.007060 Loss_D_real: -0.007026 Loss_D_fake 0.019004
[553/5000][60/535][56807] Loss_D: -0.025395 Loss_G: 0.002828 Loss_D_real: -0.004334 Loss_D_fake 0.021062
[553/5000][65/535][56808] Loss_D: -0.027500 Loss_G: 0.023867 Loss_D_real: -0.028481 Loss_D_fake -0.000981
[553/5000][70/535][56809] Loss_D: -0.027241 Loss_G: 0.021040 Loss_D_real: -0.017433 Loss_D_fake 0.009808
[553/5000][75/535][56810] Loss_D: -0.026252 Loss_G: -0.009562 Loss_D_real: -0.002620 Loss_D_fake 0.023632
[553/5000][80/535][56811] Loss_D: -0.025583 Loss_G: 0.033110 Loss_D_real: -0.028119 Loss_D_fake -0.002535
[553/5000][85/535][56812] Loss_D: -0.024524 Loss_G: 0.025341 Loss_D_real: -0.026156 Loss_D_fake -0.001632
[553/5000][90/535][56813] Loss_D: -0.027297 Loss_G: 0.006110 Loss_D_real: -0.022237 Loss_D_fake 0.005060
[553/5000][95/535][56814] Loss_D: -0.025073 Loss_G: 0.012892 Loss_D_real: -0.012271 Loss_D_fake 0.012802
[553/5000][100/535][56815] Loss_D: -0.025450 Loss_G: 0.011838 Loss_D_real: -0.023771 Loss_D_fake 0.001678
[553/5000][105/535][56816] Loss_D: -0.026248 Loss_G: 0.011692 Loss_D_real: -0.003634 Loss_D_fake 0.022614
[553/5000][110/535][56817] Loss_D: -0.023570 Loss_G: -0.012887 Loss_D_real: 0.002450 Loss_D_fake 0.026020
[553/5000][115/535][56818] Loss_D: -0.024529 Loss_G: 0.038456 Loss_D_real: -0.031302 Loss_D_fake -0.006773
[553/5000][120/535][56819] Loss_D: -0.026436 Loss_G: 0.013993 Loss_D_real: -0.012039 Loss_D_fake 0.014396
[553/5000][125/535][56820] Loss_D: -0.023857 Loss_G: 0.030917 Loss_D_real: -0.027709 Loss_D_fake -0.003852
[553/5000][130/535][56821] Loss_D: -0.026340 Loss_G: -0.000828 Loss_D_real: -0.002333 Loss_D_fake 0.024006
[553/5000][135/535][56822] Loss_D: -0.025356 Loss_G: 0.027891 Loss_D_real: -0.035777 Loss_D_fake -0.010422
[553/5000][140/535][56823] Loss_D: -0.026098 Loss_G: 0.020192 Loss_D_real: -0.024752 Loss_D_fake 0.001346
[553/5000][145/535][56824] Loss_D: -0.027404 Loss_G: 0.019201 Loss_D_real: -0.023365 Loss_D_fake 0.004039
[553/5000][150/535][56825] Loss_D: -0.027133 Loss_G: 0.021593 Loss_D_real: -0.023542 Loss_D_fake 0.003591
[553/5000][155/535][56826] Loss_D: -0.024301 Loss_G: 0.032938 Loss_D_real: -0.025489 Loss_D_fake -0.001189
[553/5000][160/535][56827] Loss_D: -0.026588 Loss_G: 0.011263 Loss_D_real: -0.013093 Loss_D_fake 0.013495
[553/5000][165/535][56828] Loss_D: -0.027093 Loss_G: 0.020848 Loss_D_real: -0.020219 Loss_D_fake 0.006874
[553/5000][170/535][56829] Loss_D: -0.025891 Loss_G: -0.008148 Loss_D_real: -0.010585 Loss_D_fake 0.015305
[553/5000][175/535][56830] Loss_D: -0.024750 Loss_G: 0.008916 Loss_D_real: -0.011779 Loss_D_fake 0.012971
[553/5000][180/535][56831] Loss_D: -0.025841 Loss_G: 0.023831 Loss_D_real: -0.020696 Loss_D_fake 0.005145
[553/5000][185/535][56832] Loss_D: -0.025835 Loss_G: 0.006920 Loss_D_real: -0.019072 Loss_D_fake 0.006763
[553/5000][190/535][56833] Loss_D: -0.026442 Loss_G: -0.007178 Loss_D_real: -0.001504 Loss_D_fake 0.024938
[553/5000][195/535][56834] Loss_D: -0.024633 Loss_G: 0.031847 Loss_D_real: -0.030786 Loss_D_fake -0.006153
[553/5000][200/535][56835] Loss_D: -0.025784 Loss_G: -0.000545 Loss_D_real: -0.001981 Loss_D_fake 0.023803
[553/5000][205/535][56836] Loss_D: -0.023329 Loss_G: -0.000999 Loss_D_real: 0.011368 Loss_D_fake 0.034697
[553/5000][210/535][56837] Loss_D: -0.026354 Loss_G: 0.017015 Loss_D_real: -0.017875 Loss_D_fake 0.008478
[553/5000][215/535][56838] Loss_D: -0.025465 Loss_G: 0.017478 Loss_D_real: -0.019413 Loss_D_fake 0.006052
[553/5000][220/535][56839] Loss_D: -0.025499 Loss_G: 0.013157 Loss_D_real: -0.017604 Loss_D_fake 0.007895
[553/5000][225/535][56840] Loss_D: -0.024628 Loss_G: 0.001379 Loss_D_real: -0.013089 Loss_D_fake 0.011539
[553/5000][230/535][56841] Loss_D: -0.025878 Loss_G: 0.025939 Loss_D_real: -0.023276 Loss_D_fake 0.002602
[553/5000][235/535][56842] Loss_D: -0.026898 Loss_G: 0.018666 Loss_D_real: -0.011869 Loss_D_fake 0.015029
[553/5000][240/535][56843] Loss_D: -0.026015 Loss_G: 0.004169 Loss_D_real: -0.012588 Loss_D_fake 0.013427
[553/5000][245/535][56844] Loss_D: -0.026015 Loss_G: 0.003948 Loss_D_real: 0.001995 Loss_D_fake 0.028010
[553/5000][250/535][56845] Loss_D: -0.025552 Loss_G: 0.031427 Loss_D_real: -0.027135 Loss_D_fake -0.001583
[553/5000][255/535][56846] Loss_D: -0.026996 Loss_G: 0.014476 Loss_D_real: -0.015349 Loss_D_fake 0.011647
[553/5000][260/535][56847] Loss_D: -0.027081 Loss_G: 0.014232 Loss_D_real: -0.020070 Loss_D_fake 0.007011
[553/5000][265/535][56848] Loss_D: -0.026151 Loss_G: 0.019280 Loss_D_real: -0.023325 Loss_D_fake 0.002826
[553/5000][270/535][56849] Loss_D: -0.026442 Loss_G: 0.017000 Loss_D_real: -0.021362 Loss_D_fake 0.005080
[553/5000][275/535][56850] Loss_D: -0.026405 Loss_G: 0.014030 Loss_D_real: -0.026198 Loss_D_fake 0.000207
[553/5000][280/535][56851] Loss_D: -0.025991 Loss_G: 0.024535 Loss_D_real: -0.028496 Loss_D_fake -0.002505
[553/5000][285/535][56852] Loss_D: -0.024357 Loss_G: 0.034815 Loss_D_real: -0.033730 Loss_D_fake -0.009374
[553/5000][290/535][56853] Loss_D: -0.025232 Loss_G: 0.029072 Loss_D_real: -0.027918 Loss_D_fake -0.002687
[553/5000][295/535][56854] Loss_D: -0.025154 Loss_G: 0.001679 Loss_D_real: -0.008800 Loss_D_fake 0.016354
[553/5000][300/535][56855] Loss_D: -0.025683 Loss_G: 0.021157 Loss_D_real: -0.033067 Loss_D_fake -0.007384
[553/5000][305/535][56856] Loss_D: -0.025694 Loss_G: 0.015896 Loss_D_real: -0.021328 Loss_D_fake 0.004366
[553/5000][310/535][56857] Loss_D: -0.026153 Loss_G: 0.031065 Loss_D_real: -0.018800 Loss_D_fake 0.007353
[553/5000][315/535][56858] Loss_D: -0.024984 Loss_G: 0.006902 Loss_D_real: -0.018429 Loss_D_fake 0.006555
[553/5000][320/535][56859] Loss_D: -0.025785 Loss_G: 0.029809 Loss_D_real: -0.036784 Loss_D_fake -0.010999
[553/5000][325/535][56860] Loss_D: -0.025075 Loss_G: 0.035868 Loss_D_real: -0.031360 Loss_D_fake -0.006286
[553/5000][330/535][56861] Loss_D: -0.025701 Loss_G: 0.011635 Loss_D_real: -0.014861 Loss_D_fake 0.010840
[553/5000][335/535][56862] Loss_D: -0.027963 Loss_G: 0.017843 Loss_D_real: -0.012130 Loss_D_fake 0.015833
[553/5000][340/535][56863] Loss_D: -0.027011 Loss_G: 0.020081 Loss_D_real: -0.029341 Loss_D_fake -0.002330
[553/5000][345/535][56864] Loss_D: -0.025310 Loss_G: 0.022200 Loss_D_real: -0.033066 Loss_D_fake -0.007756
[553/5000][350/535][56865] Loss_D: -0.026065 Loss_G: 0.010686 Loss_D_real: -0.016206 Loss_D_fake 0.009859
[553/5000][355/535][56866] Loss_D: -0.025436 Loss_G: 0.033256 Loss_D_real: -0.034899 Loss_D_fake -0.009463
[553/5000][360/535][56867] Loss_D: -0.025968 Loss_G: 0.017227 Loss_D_real: -0.030112 Loss_D_fake -0.004144
[553/5000][365/535][56868] Loss_D: -0.026537 Loss_G: -0.001852 Loss_D_real: -0.011290 Loss_D_fake 0.015247
[553/5000][370/535][56869] Loss_D: -0.025763 Loss_G: 0.006048 Loss_D_real: -0.004065 Loss_D_fake 0.021698
[553/5000][375/535][56870] Loss_D: -0.026677 Loss_G: -0.000135 Loss_D_real: -0.011902 Loss_D_fake 0.014774
[553/5000][380/535][56871] Loss_D: -0.026877 Loss_G: 0.002191 Loss_D_real: -0.006038 Loss_D_fake 0.020839
[553/5000][385/535][56872] Loss_D: -0.025745 Loss_G: 0.014484 Loss_D_real: -0.024350 Loss_D_fake 0.001395
[553/5000][390/535][56873] Loss_D: -0.026359 Loss_G: 0.005773 Loss_D_real: -0.006162 Loss_D_fake 0.020198
[553/5000][395/535][56874] Loss_D: -0.026024 Loss_G: 0.013897 Loss_D_real: -0.006568 Loss_D_fake 0.019456
[553/5000][400/535][56875] Loss_D: -0.026945 Loss_G: 0.020940 Loss_D_real: -0.021271 Loss_D_fake 0.005674
[553/5000][405/535][56876] Loss_D: -0.026039 Loss_G: 0.014990 Loss_D_real: -0.013400 Loss_D_fake 0.012639
[553/5000][410/535][56877] Loss_D: -0.024981 Loss_G: 0.023026 Loss_D_real: -0.022144 Loss_D_fake 0.002837
[553/5000][415/535][56878] Loss_D: -0.025323 Loss_G: -0.007744 Loss_D_real: 0.000835 Loss_D_fake 0.026158
[553/5000][420/535][56879] Loss_D: -0.024757 Loss_G: 0.020450 Loss_D_real: -0.030261 Loss_D_fake -0.005503
[553/5000][425/535][56880] Loss_D: -0.026076 Loss_G: 0.023404 Loss_D_real: -0.030800 Loss_D_fake -0.004724
[553/5000][430/535][56881] Loss_D: -0.025153 Loss_G: 0.016777 Loss_D_real: -0.026512 Loss_D_fake -0.001359
[553/5000][435/535][56882] Loss_D: -0.026642 Loss_G: -0.007467 Loss_D_real: -0.011816 Loss_D_fake 0.014826
[553/5000][440/535][56883] Loss_D: -0.026469 Loss_G: 0.017331 Loss_D_real: -0.019812 Loss_D_fake 0.006657
[553/5000][445/535][56884] Loss_D: -0.025846 Loss_G: -0.000043 Loss_D_real: -0.003599 Loss_D_fake 0.022247
[553/5000][450/535][56885] Loss_D: -0.025614 Loss_G: -0.001325 Loss_D_real: -0.009259 Loss_D_fake 0.016355
[553/5000][455/535][56886] Loss_D: -0.026040 Loss_G: 0.008823 Loss_D_real: -0.016062 Loss_D_fake 0.009978
[553/5000][460/535][56887] Loss_D: -0.025602 Loss_G: 0.020683 Loss_D_real: -0.017729 Loss_D_fake 0.007873
[553/5000][465/535][56888] Loss_D: -0.026547 Loss_G: 0.010029 Loss_D_real: -0.012176 Loss_D_fake 0.014371
[553/5000][470/535][56889] Loss_D: -0.026609 Loss_G: 0.019979 Loss_D_real: -0.023863 Loss_D_fake 0.002746
[553/5000][475/535][56890] Loss_D: -0.026414 Loss_G: 0.025457 Loss_D_real: -0.020336 Loss_D_fake 0.006078
[553/5000][480/535][56891] Loss_D: -0.023341 Loss_G: 0.034018 Loss_D_real: -0.027326 Loss_D_fake -0.003985
[553/5000][485/535][56892] Loss_D: -0.026118 Loss_G: 0.018325 Loss_D_real: -0.025801 Loss_D_fake 0.000317
[553/5000][490/535][56893] Loss_D: -0.025245 Loss_G: 0.012298 Loss_D_real: -0.010695 Loss_D_fake 0.014551
[553/5000][495/535][56894] Loss_D: -0.025224 Loss_G: 0.028809 Loss_D_real: -0.031898 Loss_D_fake -0.006674
[553/5000][500/535][56895] Loss_D: -0.026964 Loss_G: 0.012479 Loss_D_real: -0.018126 Loss_D_fake 0.008838
[553/5000][505/535][56896] Loss_D: -0.023340 Loss_G: 0.034613 Loss_D_real: -0.039084 Loss_D_fake -0.015744
[553/5000][510/535][56897] Loss_D: -0.026343 Loss_G: 0.009513 Loss_D_real: -0.013942 Loss_D_fake 0.012401
[553/5000][515/535][56898] Loss_D: -0.024470 Loss_G: 0.018994 Loss_D_real: -0.017251 Loss_D_fake 0.007219
[553/5000][520/535][56899] Loss_D: -0.024898 Loss_G: 0.005989 Loss_D_real: -0.009975 Loss_D_fake 0.014923
[553/5000][525/535][56900] Loss_D: -0.024787 Loss_G: -0.004544 Loss_D_real: -0.000456 Loss_D_fake 0.024331
[553/5000][530/535][56901] Loss_D: -0.026260 Loss_G: 0.010765 Loss_D_real: -0.010071 Loss_D_fake 0.016189
[553/5000][535/535][56902] Loss_D: -0.023554 Loss_G: -0.009366 Loss_D_real: -0.005101 Loss_D_fake 0.018453
[554/5000][5/535][56903] Loss_D: -0.025878 Loss_G: 0.011682 Loss_D_real: -0.015592 Loss_D_fake 0.010286
[554/5000][10/535][56904] Loss_D: -0.026719 Loss_G: 0.013396 Loss_D_real: -0.016571 Loss_D_fake 0.010148
[554/5000][15/535][56905] Loss_D: -0.024754 Loss_G: 0.034179 Loss_D_real: -0.024525 Loss_D_fake 0.000229
[554/5000][20/535][56906] Loss_D: -0.026342 Loss_G: 0.005467 Loss_D_real: -0.021056 Loss_D_fake 0.005286
[554/5000][25/535][56907] Loss_D: -0.025416 Loss_G: 0.017100 Loss_D_real: -0.018704 Loss_D_fake 0.006712
[554/5000][30/535][56908] Loss_D: -0.023866 Loss_G: -0.007240 Loss_D_real: 0.010720 Loss_D_fake 0.034586
[554/5000][35/535][56909] Loss_D: -0.025532 Loss_G: 0.018115 Loss_D_real: -0.016405 Loss_D_fake 0.009128
[554/5000][40/535][56910] Loss_D: -0.024311 Loss_G: 0.012984 Loss_D_real: -0.008929 Loss_D_fake 0.015381
[554/5000][45/535][56911] Loss_D: -0.025020 Loss_G: 0.019860 Loss_D_real: -0.020658 Loss_D_fake 0.004362
[554/5000][50/535][56912] Loss_D: -0.025639 Loss_G: -0.009106 Loss_D_real: -0.005117 Loss_D_fake 0.020523
[554/5000][55/535][56913] Loss_D: -0.027491 Loss_G: 0.018959 Loss_D_real: -0.017626 Loss_D_fake 0.009865
[554/5000][60/535][56914] Loss_D: -0.026268 Loss_G: 0.010971 Loss_D_real: -0.017655 Loss_D_fake 0.008613
[554/5000][65/535][56915] Loss_D: -0.025978 Loss_G: 0.008609 Loss_D_real: -0.009116 Loss_D_fake 0.016862
[554/5000][70/535][56916] Loss_D: -0.026511 Loss_G: 0.018202 Loss_D_real: -0.022772 Loss_D_fake 0.003739
[554/5000][75/535][56917] Loss_D: -0.026720 Loss_G: -0.000392 Loss_D_real: -0.007879 Loss_D_fake 0.018841
[554/5000][80/535][56918] Loss_D: -0.026224 Loss_G: 0.013819 Loss_D_real: -0.015215 Loss_D_fake 0.011008
[554/5000][85/535][56919] Loss_D: -0.026797 Loss_G: 0.025919 Loss_D_real: -0.021065 Loss_D_fake 0.005732
[554/5000][90/535][56920] Loss_D: -0.023746 Loss_G: 0.020173 Loss_D_real: -0.012154 Loss_D_fake 0.011592
[554/5000][95/535][56921] Loss_D: -0.026905 Loss_G: 0.003203 Loss_D_real: -0.012279 Loss_D_fake 0.014626
[554/5000][100/535][56922] Loss_D: -0.026283 Loss_G: 0.014588 Loss_D_real: -0.019417 Loss_D_fake 0.006866
[554/5000][105/535][56923] Loss_D: -0.026876 Loss_G: 0.008768 Loss_D_real: -0.013253 Loss_D_fake 0.013623
[554/5000][110/535][56924] Loss_D: -0.026256 Loss_G: 0.030183 Loss_D_real: -0.029021 Loss_D_fake -0.002765
[554/5000][115/535][56925] Loss_D: -0.027140 Loss_G: 0.008989 Loss_D_real: -0.010100 Loss_D_fake 0.017040
[554/5000][120/535][56926] Loss_D: -0.025236 Loss_G: -0.006217 Loss_D_real: -0.011880 Loss_D_fake 0.013356
[554/5000][125/535][56927] Loss_D: -0.024440 Loss_G: 0.008991 Loss_D_real: -0.017090 Loss_D_fake 0.007350
[554/5000][130/535][56928] Loss_D: -0.025201 Loss_G: 0.013469 Loss_D_real: -0.009931 Loss_D_fake 0.015270
[554/5000][135/535][56929] Loss_D: -0.027050 Loss_G: 0.025954 Loss_D_real: -0.014617 Loss_D_fake 0.012434
[554/5000][140/535][56930] Loss_D: -0.025743 Loss_G: 0.020745 Loss_D_real: -0.035650 Loss_D_fake -0.009908
[554/5000][145/535][56931] Loss_D: -0.027186 Loss_G: 0.014245 Loss_D_real: -0.018275 Loss_D_fake 0.008912
[554/5000][150/535][56932] Loss_D: -0.025408 Loss_G: 0.002170 Loss_D_real: -0.019871 Loss_D_fake 0.005537
[554/5000][155/535][56933] Loss_D: -0.025602 Loss_G: 0.012195 Loss_D_real: -0.014675 Loss_D_fake 0.010926
[554/5000][160/535][56934] Loss_D: -0.025587 Loss_G: 0.013577 Loss_D_real: -0.021906 Loss_D_fake 0.003682
[554/5000][165/535][56935] Loss_D: -0.023952 Loss_G: -0.019603 Loss_D_real: 0.002468 Loss_D_fake 0.026420
[554/5000][170/535][56936] Loss_D: -0.024656 Loss_G: 0.013514 Loss_D_real: -0.020444 Loss_D_fake 0.004213
[554/5000][175/535][56937] Loss_D: -0.025348 Loss_G: 0.028703 Loss_D_real: -0.029214 Loss_D_fake -0.003865
[554/5000][180/535][56938] Loss_D: -0.025260 Loss_G: 0.010148 Loss_D_real: -0.013297 Loss_D_fake 0.011963
[554/5000][185/535][56939] Loss_D: -0.025940 Loss_G: 0.016030 Loss_D_real: -0.026418 Loss_D_fake -0.000478
[554/5000][190/535][56940] Loss_D: -0.024983 Loss_G: 0.032732 Loss_D_real: -0.024367 Loss_D_fake 0.000616
[554/5000][195/535][56941] Loss_D: -0.026941 Loss_G: 0.002088 Loss_D_real: -0.015846 Loss_D_fake 0.011096
[554/5000][200/535][56942] Loss_D: -0.024799 Loss_G: 0.016315 Loss_D_real: -0.025789 Loss_D_fake -0.000990
[554/5000][205/535][56943] Loss_D: -0.025676 Loss_G: 0.030572 Loss_D_real: -0.023277 Loss_D_fake 0.002399
[554/5000][210/535][56944] Loss_D: -0.024729 Loss_G: -0.006718 Loss_D_real: -0.008801 Loss_D_fake 0.015928
[554/5000][215/535][56945] Loss_D: -0.024726 Loss_G: 0.036987 Loss_D_real: -0.029859 Loss_D_fake -0.005134
[554/5000][220/535][56946] Loss_D: -0.025370 Loss_G: 0.013348 Loss_D_real: -0.014717 Loss_D_fake 0.010654
[554/5000][225/535][56947] Loss_D: -0.026111 Loss_G: 0.010463 Loss_D_real: -0.012528 Loss_D_fake 0.013584
[554/5000][230/535][56948] Loss_D: -0.026232 Loss_G: 0.021075 Loss_D_real: -0.022792 Loss_D_fake 0.003440
[554/5000][235/535][56949] Loss_D: -0.026410 Loss_G: 0.011526 Loss_D_real: -0.018218 Loss_D_fake 0.008192
[554/5000][240/535][56950] Loss_D: -0.025088 Loss_G: 0.019290 Loss_D_real: -0.018009 Loss_D_fake 0.007079
[554/5000][245/535][56951] Loss_D: -0.026294 Loss_G: 0.001625 Loss_D_real: -0.002859 Loss_D_fake 0.023435
[554/5000][250/535][56952] Loss_D: -0.026220 Loss_G: -0.004297 Loss_D_real: -0.010594 Loss_D_fake 0.015625
[554/5000][255/535][56953] Loss_D: -0.024137 Loss_G: 0.028885 Loss_D_real: -0.041758 Loss_D_fake -0.017620
[554/5000][260/535][56954] Loss_D: -0.025644 Loss_G: 0.030865 Loss_D_real: -0.023097 Loss_D_fake 0.002547
[554/5000][265/535][56955] Loss_D: -0.026613 Loss_G: 0.011494 Loss_D_real: -0.010274 Loss_D_fake 0.016340
[554/5000][270/535][56956] Loss_D: -0.025422 Loss_G: 0.003376 Loss_D_real: -0.016663 Loss_D_fake 0.008760
[554/5000][275/535][56957] Loss_D: -0.025549 Loss_G: 0.034281 Loss_D_real: -0.026134 Loss_D_fake -0.000585
[554/5000][280/535][56958] Loss_D: -0.025751 Loss_G: 0.028634 Loss_D_real: -0.029639 Loss_D_fake -0.003888
[554/5000][285/535][56959] Loss_D: -0.025841 Loss_G: -0.000401 Loss_D_real: -0.014434 Loss_D_fake 0.011407
[554/5000][290/535][56960] Loss_D: -0.025052 Loss_G: 0.018099 Loss_D_real: -0.023623 Loss_D_fake 0.001429
[554/5000][295/535][56961] Loss_D: -0.026672 Loss_G: 0.003462 Loss_D_real: -0.010405 Loss_D_fake 0.016267
[554/5000][300/535][56962] Loss_D: -0.025772 Loss_G: 0.022136 Loss_D_real: -0.028329 Loss_D_fake -0.002556
[554/5000][305/535][56963] Loss_D: -0.024874 Loss_G: -0.026296 Loss_D_real: 0.001905 Loss_D_fake 0.026778
[554/5000][310/535][56964] Loss_D: -0.025556 Loss_G: 0.011872 Loss_D_real: -0.014914 Loss_D_fake 0.010642
[554/5000][315/535][56965] Loss_D: -0.025023 Loss_G: 0.034166 Loss_D_real: -0.032453 Loss_D_fake -0.007430
[554/5000][320/535][56966] Loss_D: -0.026920 Loss_G: 0.023391 Loss_D_real: -0.014333 Loss_D_fake 0.012587
[554/5000][325/535][56967] Loss_D: -0.024488 Loss_G: -0.009962 Loss_D_real: -0.000764 Loss_D_fake 0.023724
[554/5000][330/535][56968] Loss_D: -0.027784 Loss_G: 0.024977 Loss_D_real: -0.016835 Loss_D_fake 0.010949
[554/5000][335/535][56969] Loss_D: -0.025387 Loss_G: 0.023333 Loss_D_real: -0.022025 Loss_D_fake 0.003362
[554/5000][340/535][56970] Loss_D: -0.027015 Loss_G: -0.000062 Loss_D_real: -0.009719 Loss_D_fake 0.017297
[554/5000][345/535][56971] Loss_D: -0.025403 Loss_G: 0.034322 Loss_D_real: -0.029844 Loss_D_fake -0.004441
[554/5000][350/535][56972] Loss_D: -0.024974 Loss_G: -0.012726 Loss_D_real: 0.002996 Loss_D_fake 0.027969
[554/5000][355/535][56973] Loss_D: -0.026179 Loss_G: -0.009823 Loss_D_real: -0.008121 Loss_D_fake 0.018058
[554/5000][360/535][56974] Loss_D: -0.025330 Loss_G: 0.029641 Loss_D_real: -0.026273 Loss_D_fake -0.000944
[554/5000][365/535][56975] Loss_D: -0.025178 Loss_G: 0.026111 Loss_D_real: -0.018931 Loss_D_fake 0.006247
[554/5000][370/535][56976] Loss_D: -0.026940 Loss_G: 0.007550 Loss_D_real: -0.017910 Loss_D_fake 0.009030
[554/5000][375/535][56977] Loss_D: -0.026341 Loss_G: 0.009421 Loss_D_real: -0.012668 Loss_D_fake 0.013674
[554/5000][380/535][56978] Loss_D: -0.026129 Loss_G: 0.032141 Loss_D_real: -0.029226 Loss_D_fake -0.003098
[554/5000][385/535][56979] Loss_D: -0.024493 Loss_G: 0.033171 Loss_D_real: -0.029778 Loss_D_fake -0.005285
[554/5000][390/535][56980] Loss_D: -0.026843 Loss_G: 0.005897 Loss_D_real: -0.017350 Loss_D_fake 0.009493
[554/5000][395/535][56981] Loss_D: -0.025728 Loss_G: 0.014501 Loss_D_real: -0.009672 Loss_D_fake 0.016056
[554/5000][400/535][56982] Loss_D: -0.025750 Loss_G: 0.007574 Loss_D_real: -0.017915 Loss_D_fake 0.007835
[554/5000][405/535][56983] Loss_D: -0.025373 Loss_G: 0.005516 Loss_D_real: -0.011984 Loss_D_fake 0.013389
[554/5000][410/535][56984] Loss_D: -0.023965 Loss_G: 0.039588 Loss_D_real: -0.029989 Loss_D_fake -0.006024
[554/5000][415/535][56985] Loss_D: -0.024821 Loss_G: 0.011009 Loss_D_real: -0.005912 Loss_D_fake 0.018909
[554/5000][420/535][56986] Loss_D: -0.025619 Loss_G: -0.002911 Loss_D_real: -0.004379 Loss_D_fake 0.021240
[554/5000][425/535][56987] Loss_D: -0.026547 Loss_G: -0.000792 Loss_D_real: -0.016266 Loss_D_fake 0.010281
[554/5000][430/535][56988] Loss_D: -0.025709 Loss_G: 0.018174 Loss_D_real: -0.027689 Loss_D_fake -0.001980
[554/5000][435/535][56989] Loss_D: -0.025420 Loss_G: 0.002279 Loss_D_real: -0.011467 Loss_D_fake 0.013953
[554/5000][440/535][56990] Loss_D: -0.026641 Loss_G: 0.028702 Loss_D_real: -0.022733 Loss_D_fake 0.003907
[554/5000][445/535][56991] Loss_D: -0.026785 Loss_G: 0.004702 Loss_D_real: -0.002251 Loss_D_fake 0.024534
[554/5000][450/535][56992] Loss_D: -0.026395 Loss_G: 0.002349 Loss_D_real: -0.015231 Loss_D_fake 0.011164
[554/5000][455/535][56993] Loss_D: -0.024658 Loss_G: 0.002294 Loss_D_real: -0.001200 Loss_D_fake 0.023458
[554/5000][460/535][56994] Loss_D: -0.025963 Loss_G: 0.024273 Loss_D_real: -0.017252 Loss_D_fake 0.008711
[554/5000][465/535][56995] Loss_D: -0.026753 Loss_G: 0.013137 Loss_D_real: -0.029956 Loss_D_fake -0.003203
[554/5000][470/535][56996] Loss_D: -0.027352 Loss_G: 0.013226 Loss_D_real: -0.028413 Loss_D_fake -0.001061
[554/5000][475/535][56997] Loss_D: -0.026061 Loss_G: 0.012653 Loss_D_real: -0.016821 Loss_D_fake 0.009240
[554/5000][480/535][56998] Loss_D: -0.025948 Loss_G: 0.027593 Loss_D_real: -0.027110 Loss_D_fake -0.001162
[554/5000][485/535][56999] Loss_D: -0.025770 Loss_G: 0.007537 Loss_D_real: -0.019691 Loss_D_fake 0.006079
[554/5000][490/535][57000] Loss_D: -0.024757 Loss_G: 0.023249 Loss_D_real: -0.027577 Loss_D_fake -0.002820
[554/5000][535/535][57001] Loss_D: -0.030684 Loss_G: 0.018425 Loss_D_real: -0.012603 Loss_D_fake 0.018081
[555/5000][5/535][57002] Loss_D: -0.026694 Loss_G: 0.013591 Loss_D_real: -0.022921 Loss_D_fake 0.003773
[555/5000][10/535][57003] Loss_D: -0.024085 Loss_G: 0.023227 Loss_D_real: -0.024938 Loss_D_fake -0.000854
[555/5000][15/535][57004] Loss_D: -0.024686 Loss_G: -0.006072 Loss_D_real: 0.002403 Loss_D_fake 0.027089
[555/5000][20/535][57005] Loss_D: -0.024514 Loss_G: 0.019613 Loss_D_real: -0.021607 Loss_D_fake 0.002906
[555/5000][25/535][57006] Loss_D: -0.025325 Loss_G: 0.000493 Loss_D_real: -0.006383 Loss_D_fake 0.018942
[555/5000][30/535][57007] Loss_D: -0.024290 Loss_G: 0.029441 Loss_D_real: -0.026181 Loss_D_fake -0.001891
[555/5000][35/535][57008] Loss_D: -0.025104 Loss_G: 0.028831 Loss_D_real: -0.027626 Loss_D_fake -0.002523
[555/5000][40/535][57009] Loss_D: -0.026984 Loss_G: 0.007597 Loss_D_real: -0.019280 Loss_D_fake 0.007704
[555/5000][45/535][57010] Loss_D: -0.026766 Loss_G: 0.020016 Loss_D_real: -0.012000 Loss_D_fake 0.014766
[555/5000][50/535][57011] Loss_D: -0.024921 Loss_G: 0.012155 Loss_D_real: -0.021973 Loss_D_fake 0.002948
[555/5000][55/535][57012] Loss_D: -0.025526 Loss_G: -0.005595 Loss_D_real: -0.002073 Loss_D_fake 0.023453
[555/5000][60/535][57013] Loss_D: -0.025454 Loss_G: 0.022792 Loss_D_real: -0.024588 Loss_D_fake 0.000866
[555/5000][65/535][57014] Loss_D: -0.026952 Loss_G: 0.008204 Loss_D_real: -0.033508 Loss_D_fake -0.006556
[555/5000][70/535][57015] Loss_D: -0.026681 Loss_G: 0.009601 Loss_D_real: -0.024031 Loss_D_fake 0.002650
[555/5000][75/535][57016] Loss_D: -0.025032 Loss_G: -0.005088 Loss_D_real: -0.004002 Loss_D_fake 0.021030
[555/5000][80/535][57017] Loss_D: -0.025427 Loss_G: 0.007826 Loss_D_real: -0.019032 Loss_D_fake 0.006395
[555/5000][85/535][57018] Loss_D: -0.026019 Loss_G: 0.027733 Loss_D_real: -0.034733 Loss_D_fake -0.008714
[555/5000][90/535][57019] Loss_D: -0.026673 Loss_G: 0.001779 Loss_D_real: -0.012004 Loss_D_fake 0.014670
[555/5000][95/535][57020] Loss_D: -0.025126 Loss_G: 0.002244 Loss_D_real: -0.007297 Loss_D_fake 0.017829
[555/5000][100/535][57021] Loss_D: -0.024930 Loss_G: 0.014717 Loss_D_real: -0.019619 Loss_D_fake 0.005311
[555/5000][105/535][57022] Loss_D: -0.026141 Loss_G: -0.002959 Loss_D_real: -0.003269 Loss_D_fake 0.022873
[555/5000][110/535][57023] Loss_D: -0.024984 Loss_G: 0.007842 Loss_D_real: -0.013993 Loss_D_fake 0.010991
[555/5000][115/535][57024] Loss_D: -0.025863 Loss_G: -0.004695 Loss_D_real: -0.005163 Loss_D_fake 0.020700
[555/5000][120/535][57025] Loss_D: -0.024443 Loss_G: 0.016088 Loss_D_real: -0.024868 Loss_D_fake -0.000425
[555/5000][125/535][57026] Loss_D: -0.023765 Loss_G: -0.019888 Loss_D_real: 0.002861 Loss_D_fake 0.026626
[555/5000][130/535][57027] Loss_D: -0.024095 Loss_G: 0.024652 Loss_D_real: -0.026220 Loss_D_fake -0.002125
[555/5000][135/535][57028] Loss_D: -0.025219 Loss_G: 0.022740 Loss_D_real: -0.020782 Loss_D_fake 0.004437
[555/5000][140/535][57029] Loss_D: -0.025808 Loss_G: -0.009082 Loss_D_real: -0.002791 Loss_D_fake 0.023017
[555/5000][145/535][57030] Loss_D: -0.025351 Loss_G: 0.033074 Loss_D_real: -0.024736 Loss_D_fake 0.000615
[555/5000][150/535][57031] Loss_D: -0.024604 Loss_G: 0.012591 Loss_D_real: -0.016190 Loss_D_fake 0.008415
[555/5000][155/535][57032] Loss_D: -0.025457 Loss_G: 0.004714 Loss_D_real: -0.010357 Loss_D_fake 0.015101
[555/5000][160/535][57033] Loss_D: -0.025008 Loss_G: 0.028037 Loss_D_real: -0.034487 Loss_D_fake -0.009479
[555/5000][165/535][57034] Loss_D: -0.024988 Loss_G: -0.004941 Loss_D_real: -0.014581 Loss_D_fake 0.010407
[555/5000][170/535][57035] Loss_D: -0.024982 Loss_G: 0.006490 Loss_D_real: -0.020617 Loss_D_fake 0.004365
[555/5000][175/535][57036] Loss_D: -0.025200 Loss_G: 0.016188 Loss_D_real: -0.017267 Loss_D_fake 0.007932
[555/5000][180/535][57037] Loss_D: -0.024688 Loss_G: 0.021661 Loss_D_real: -0.022490 Loss_D_fake 0.002198
[555/5000][185/535][57038] Loss_D: -0.024840 Loss_G: 0.014461 Loss_D_real: -0.014161 Loss_D_fake 0.010679
[555/5000][190/535][57039] Loss_D: -0.025843 Loss_G: -0.008297 Loss_D_real: 0.005558 Loss_D_fake 0.031402
[555/5000][195/535][57040] Loss_D: -0.024504 Loss_G: 0.000685 Loss_D_real: -0.003069 Loss_D_fake 0.021435
[555/5000][200/535][57041] Loss_D: -0.027508 Loss_G: 0.024260 Loss_D_real: -0.019784 Loss_D_fake 0.007724
[555/5000][205/535][57042] Loss_D: -0.026635 Loss_G: -0.001969 Loss_D_real: -0.008571 Loss_D_fake 0.018064
[555/5000][210/535][57043] Loss_D: -0.023714 Loss_G: -0.007350 Loss_D_real: 0.001702 Loss_D_fake 0.025416
[555/5000][215/535][57044] Loss_D: -0.025197 Loss_G: 0.007184 Loss_D_real: -0.015775 Loss_D_fake 0.009422
[555/5000][220/535][57045] Loss_D: -0.023733 Loss_G: -0.019584 Loss_D_real: 0.007328 Loss_D_fake 0.031060
[555/5000][225/535][57046] Loss_D: -0.025018 Loss_G: 0.019629 Loss_D_real: -0.019308 Loss_D_fake 0.005710
[555/5000][230/535][57047] Loss_D: -0.025499 Loss_G: 0.017873 Loss_D_real: -0.014004 Loss_D_fake 0.011494
[555/5000][235/535][57048] Loss_D: -0.024525 Loss_G: -0.010848 Loss_D_real: 0.001095 Loss_D_fake 0.025620
[555/5000][240/535][57049] Loss_D: -0.025657 Loss_G: 0.024736 Loss_D_real: -0.025133 Loss_D_fake 0.000524
[555/5000][245/535][57050] Loss_D: -0.025550 Loss_G: 0.024511 Loss_D_real: -0.021086 Loss_D_fake 0.004464
[555/5000][250/535][57051] Loss_D: -0.025080 Loss_G: 0.005459 Loss_D_real: -0.016289 Loss_D_fake 0.008791
[555/5000][255/535][57052] Loss_D: -0.025390 Loss_G: -0.002321 Loss_D_real: -0.008126 Loss_D_fake 0.017264
[555/5000][260/535][57053] Loss_D: -0.025078 Loss_G: 0.015783 Loss_D_real: -0.030922 Loss_D_fake -0.005843
[555/5000][265/535][57054] Loss_D: -0.025842 Loss_G: 0.017532 Loss_D_real: -0.020176 Loss_D_fake 0.005666
[555/5000][270/535][57055] Loss_D: -0.024891 Loss_G: 0.017161 Loss_D_real: -0.016262 Loss_D_fake 0.008629
[555/5000][275/535][57056] Loss_D: -0.024796 Loss_G: 0.016132 Loss_D_real: -0.013677 Loss_D_fake 0.011119
[555/5000][280/535][57057] Loss_D: -0.025280 Loss_G: 0.038177 Loss_D_real: -0.031425 Loss_D_fake -0.006146
[555/5000][285/535][57058] Loss_D: -0.026570 Loss_G: 0.005173 Loss_D_real: -0.006658 Loss_D_fake 0.019912
[555/5000][290/535][57059] Loss_D: -0.025595 Loss_G: 0.011626 Loss_D_real: -0.016576 Loss_D_fake 0.009019
[555/5000][295/535][57060] Loss_D: -0.026166 Loss_G: 0.018121 Loss_D_real: -0.027234 Loss_D_fake -0.001068
[555/5000][300/535][57061] Loss_D: -0.026691 Loss_G: 0.028623 Loss_D_real: -0.025395 Loss_D_fake 0.001296
[555/5000][305/535][57062] Loss_D: -0.026274 Loss_G: 0.025662 Loss_D_real: -0.027519 Loss_D_fake -0.001245
[555/5000][310/535][57063] Loss_D: -0.026394 Loss_G: 0.003561 Loss_D_real: -0.006502 Loss_D_fake 0.019892
[555/5000][315/535][57064] Loss_D: -0.024414 Loss_G: 0.027361 Loss_D_real: -0.022832 Loss_D_fake 0.001582
[555/5000][320/535][57065] Loss_D: -0.025446 Loss_G: 0.012156 Loss_D_real: -0.016198 Loss_D_fake 0.009248
[555/5000][325/535][57066] Loss_D: -0.026125 Loss_G: 0.027312 Loss_D_real: -0.019123 Loss_D_fake 0.007003
[555/5000][330/535][57067] Loss_D: -0.026531 Loss_G: 0.018325 Loss_D_real: -0.027246 Loss_D_fake -0.000715
[555/5000][335/535][57068] Loss_D: -0.025311 Loss_G: 0.034172 Loss_D_real: -0.030002 Loss_D_fake -0.004691
[555/5000][340/535][57069] Loss_D: -0.026162 Loss_G: -0.008598 Loss_D_real: 0.007903 Loss_D_fake 0.034065
[555/5000][345/535][57070] Loss_D: -0.025591 Loss_G: 0.015539 Loss_D_real: -0.016771 Loss_D_fake 0.008820
[555/5000][350/535][57071] Loss_D: -0.026128 Loss_G: 0.007760 Loss_D_real: -0.021222 Loss_D_fake 0.004905
[555/5000][355/535][57072] Loss_D: -0.026336 Loss_G: 0.011433 Loss_D_real: -0.021382 Loss_D_fake 0.004954
[555/5000][360/535][57073] Loss_D: -0.025408 Loss_G: 0.023373 Loss_D_real: -0.020729 Loss_D_fake 0.004679
[555/5000][365/535][57074] Loss_D: -0.026685 Loss_G: 0.007966 Loss_D_real: -0.008884 Loss_D_fake 0.017801
[555/5000][370/535][57075] Loss_D: -0.025862 Loss_G: 0.012986 Loss_D_real: -0.027818 Loss_D_fake -0.001956
[555/5000][375/535][57076] Loss_D: -0.025614 Loss_G: 0.016347 Loss_D_real: -0.034140 Loss_D_fake -0.008526
[555/5000][380/535][57077] Loss_D: -0.025077 Loss_G: 0.003840 Loss_D_real: -0.013074 Loss_D_fake 0.012003
[555/5000][385/535][57078] Loss_D: -0.025498 Loss_G: 0.016480 Loss_D_real: -0.025509 Loss_D_fake -0.000011
[555/5000][390/535][57079] Loss_D: -0.025253 Loss_G: 0.031957 Loss_D_real: -0.026571 Loss_D_fake -0.001318
[555/5000][395/535][57080] Loss_D: -0.024928 Loss_G: 0.013138 Loss_D_real: -0.016186 Loss_D_fake 0.008742
[555/5000][400/535][57081] Loss_D: -0.026192 Loss_G: 0.002481 Loss_D_real: -0.006511 Loss_D_fake 0.019680
[555/5000][405/535][57082] Loss_D: -0.026371 Loss_G: 0.017849 Loss_D_real: -0.016735 Loss_D_fake 0.009636
[555/5000][410/535][57083] Loss_D: -0.025745 Loss_G: 0.013815 Loss_D_real: -0.024954 Loss_D_fake 0.000792
[555/5000][415/535][57084] Loss_D: -0.025676 Loss_G: -0.011100 Loss_D_real: 0.007162 Loss_D_fake 0.032838
[555/5000][420/535][57085] Loss_D: -0.024744 Loss_G: 0.026472 Loss_D_real: -0.018471 Loss_D_fake 0.006274
[555/5000][425/535][57086] Loss_D: -0.024429 Loss_G: -0.012197 Loss_D_real: 0.005236 Loss_D_fake 0.029665
[555/5000][430/535][57087] Loss_D: -0.024272 Loss_G: 0.023520 Loss_D_real: -0.021514 Loss_D_fake 0.002758
[555/5000][435/535][57088] Loss_D: -0.025688 Loss_G: 0.011337 Loss_D_real: -0.013549 Loss_D_fake 0.012139
[555/5000][440/535][57089] Loss_D: -0.025271 Loss_G: 0.016095 Loss_D_real: -0.021007 Loss_D_fake 0.004264
[555/5000][445/535][57090] Loss_D: -0.025634 Loss_G: 0.014674 Loss_D_real: -0.017046 Loss_D_fake 0.008588
[555/5000][450/535][57091] Loss_D: -0.026014 Loss_G: -0.000373 Loss_D_real: -0.004333 Loss_D_fake 0.021682
[555/5000][455/535][57092] Loss_D: -0.025814 Loss_G: -0.007969 Loss_D_real: -0.011523 Loss_D_fake 0.014291
[555/5000][460/535][57093] Loss_D: -0.025468 Loss_G: 0.026508 Loss_D_real: -0.026059 Loss_D_fake -0.000591
[555/5000][465/535][57094] Loss_D: -0.025070 Loss_G: 0.012584 Loss_D_real: -0.012312 Loss_D_fake 0.012759
[555/5000][470/535][57095] Loss_D: -0.025112 Loss_G: 0.021915 Loss_D_real: -0.022685 Loss_D_fake 0.002426
[555/5000][475/535][57096] Loss_D: -0.025770 Loss_G: 0.015039 Loss_D_real: -0.017125 Loss_D_fake 0.008646
[555/5000][480/535][57097] Loss_D: -0.024873 Loss_G: 0.029424 Loss_D_real: -0.019917 Loss_D_fake 0.004956
[555/5000][485/535][57098] Loss_D: -0.026760 Loss_G: 0.009626 Loss_D_real: -0.012878 Loss_D_fake 0.013882
[555/5000][490/535][57099] Loss_D: -0.025629 Loss_G: 0.007882 Loss_D_real: -0.022693 Loss_D_fake 0.002936
[555/5000][495/535][57100] Loss_D: -0.025800 Loss_G: 0.003673 Loss_D_real: -0.017528 Loss_D_fake 0.008272
[555/5000][500/535][57101] Loss_D: -0.025898 Loss_G: 0.034994 Loss_D_real: -0.036430 Loss_D_fake -0.010532
[555/5000][505/535][57102] Loss_D: -0.026413 Loss_G: 0.020709 Loss_D_real: -0.018969 Loss_D_fake 0.007444
[555/5000][510/535][57103] Loss_D: -0.025735 Loss_G: 0.003210 Loss_D_real: -0.015612 Loss_D_fake 0.010123
[555/5000][515/535][57104] Loss_D: -0.026712 Loss_G: 0.023702 Loss_D_real: -0.022404 Loss_D_fake 0.004308
[555/5000][520/535][57105] Loss_D: -0.025858 Loss_G: 0.014515 Loss_D_real: -0.020292 Loss_D_fake 0.005567
[555/5000][525/535][57106] Loss_D: -0.026143 Loss_G: -0.000370 Loss_D_real: -0.012921 Loss_D_fake 0.013222
[555/5000][530/535][57107] Loss_D: -0.024032 Loss_G: 0.031381 Loss_D_real: -0.016494 Loss_D_fake 0.007538
[555/5000][535/535][57108] Loss_D: -0.025618 Loss_G: 0.001256 Loss_D_real: -0.027929 Loss_D_fake -0.002311
[556/5000][5/535][57109] Loss_D: -0.027263 Loss_G: 0.009345 Loss_D_real: -0.016516 Loss_D_fake 0.010747
[556/5000][10/535][57110] Loss_D: -0.025112 Loss_G: 0.013461 Loss_D_real: -0.025376 Loss_D_fake -0.000264
[556/5000][15/535][57111] Loss_D: -0.026262 Loss_G: 0.032406 Loss_D_real: -0.016220 Loss_D_fake 0.010041
[556/5000][20/535][57112] Loss_D: -0.025838 Loss_G: 0.012229 Loss_D_real: -0.016712 Loss_D_fake 0.009126
[556/5000][25/535][57113] Loss_D: -0.025719 Loss_G: 0.019435 Loss_D_real: -0.029638 Loss_D_fake -0.003920
[556/5000][30/535][57114] Loss_D: -0.022856 Loss_G: -0.019479 Loss_D_real: 0.010831 Loss_D_fake 0.033687
[556/5000][35/535][57115] Loss_D: -0.025407 Loss_G: 0.024561 Loss_D_real: -0.020037 Loss_D_fake 0.005370
[556/5000][40/535][57116] Loss_D: -0.025693 Loss_G: 0.002796 Loss_D_real: -0.016854 Loss_D_fake 0.008839
[556/5000][45/535][57117] Loss_D: -0.026702 Loss_G: 0.014386 Loss_D_real: -0.019456 Loss_D_fake 0.007246
[556/5000][50/535][57118] Loss_D: -0.026322 Loss_G: 0.014933 Loss_D_real: -0.008467 Loss_D_fake 0.017856
[556/5000][55/535][57119] Loss_D: -0.026684 Loss_G: 0.009117 Loss_D_real: -0.015736 Loss_D_fake 0.010948
[556/5000][60/535][57120] Loss_D: -0.025853 Loss_G: 0.024814 Loss_D_real: -0.032197 Loss_D_fake -0.006344
[556/5000][65/535][57121] Loss_D: -0.026931 Loss_G: 0.006483 Loss_D_real: -0.015157 Loss_D_fake 0.011774
[556/5000][70/535][57122] Loss_D: -0.026721 Loss_G: 0.028169 Loss_D_real: -0.019955 Loss_D_fake 0.006767
[556/5000][75/535][57123] Loss_D: -0.025535 Loss_G: -0.005222 Loss_D_real: -0.003759 Loss_D_fake 0.021777
[556/5000][80/535][57124] Loss_D: -0.024226 Loss_G: 0.001081 Loss_D_real: -0.015313 Loss_D_fake 0.008913
[556/5000][85/535][57125] Loss_D: -0.024277 Loss_G: 0.046384 Loss_D_real: -0.029308 Loss_D_fake -0.005031
[556/5000][90/535][57126] Loss_D: -0.024982 Loss_G: 0.022742 Loss_D_real: -0.027253 Loss_D_fake -0.002271
[556/5000][95/535][57127] Loss_D: -0.026206 Loss_G: 0.027247 Loss_D_real: -0.020915 Loss_D_fake 0.005291
[556/5000][100/535][57128] Loss_D: -0.026203 Loss_G: 0.015012 Loss_D_real: -0.022823 Loss_D_fake 0.003380
[556/5000][105/535][57129] Loss_D: -0.025033 Loss_G: 0.008559 Loss_D_real: -0.011529 Loss_D_fake 0.013505
[556/5000][110/535][57130] Loss_D: -0.026017 Loss_G: 0.016419 Loss_D_real: -0.019853 Loss_D_fake 0.006165
[556/5000][115/535][57131] Loss_D: -0.024511 Loss_G: 0.022395 Loss_D_real: -0.027764 Loss_D_fake -0.003253
[556/5000][120/535][57132] Loss_D: -0.025198 Loss_G: -0.008396 Loss_D_real: -0.001491 Loss_D_fake 0.023707
[556/5000][125/535][57133] Loss_D: -0.024193 Loss_G: 0.009731 Loss_D_real: -0.016159 Loss_D_fake 0.008035
[556/5000][130/535][57134] Loss_D: -0.026706 Loss_G: 0.018634 Loss_D_real: -0.017122 Loss_D_fake 0.009584
[556/5000][135/535][57135] Loss_D: -0.024767 Loss_G: 0.006215 Loss_D_real: -0.008650 Loss_D_fake 0.016118
[556/5000][140/535][57136] Loss_D: -0.025577 Loss_G: 0.005787 Loss_D_real: -0.005890 Loss_D_fake 0.019686
[556/5000][145/535][57137] Loss_D: -0.026034 Loss_G: 0.022750 Loss_D_real: -0.034533 Loss_D_fake -0.008499
[556/5000][150/535][57138] Loss_D: -0.023582 Loss_G: 0.032131 Loss_D_real: -0.038491 Loss_D_fake -0.014909
[556/5000][155/535][57139] Loss_D: -0.026273 Loss_G: 0.005189 Loss_D_real: -0.001897 Loss_D_fake 0.024376
[556/5000][160/535][57140] Loss_D: -0.023944 Loss_G: 0.031345 Loss_D_real: -0.035419 Loss_D_fake -0.011475
[556/5000][165/535][57141] Loss_D: -0.025180 Loss_G: 0.028760 Loss_D_real: -0.030210 Loss_D_fake -0.005030
[556/5000][170/535][57142] Loss_D: -0.025702 Loss_G: 0.000004 Loss_D_real: -0.006543 Loss_D_fake 0.019159
[556/5000][175/535][57143] Loss_D: -0.024766 Loss_G: 0.010161 Loss_D_real: -0.021842 Loss_D_fake 0.002924
[556/5000][180/535][57144] Loss_D: -0.025590 Loss_G: 0.012369 Loss_D_real: -0.018629 Loss_D_fake 0.006961
[556/5000][185/535][57145] Loss_D: -0.025787 Loss_G: 0.022362 Loss_D_real: -0.020908 Loss_D_fake 0.004879
[556/5000][190/535][57146] Loss_D: -0.025682 Loss_G: 0.014393 Loss_D_real: -0.013327 Loss_D_fake 0.012355
[556/5000][195/535][57147] Loss_D: -0.025561 Loss_G: 0.035003 Loss_D_real: -0.031527 Loss_D_fake -0.005966
[556/5000][200/535][57148] Loss_D: -0.025569 Loss_G: -0.010955 Loss_D_real: -0.000260 Loss_D_fake 0.025309
[556/5000][205/535][57149] Loss_D: -0.025612 Loss_G: 0.009712 Loss_D_real: -0.016416 Loss_D_fake 0.009197
[556/5000][210/535][57150] Loss_D: -0.025672 Loss_G: 0.008589 Loss_D_real: -0.002631 Loss_D_fake 0.023041
[556/5000][215/535][57151] Loss_D: -0.025795 Loss_G: 0.012194 Loss_D_real: -0.014024 Loss_D_fake 0.011771
[556/5000][220/535][57152] Loss_D: -0.024890 Loss_G: -0.010549 Loss_D_real: 0.003101 Loss_D_fake 0.027991
[556/5000][225/535][57153] Loss_D: -0.025053 Loss_G: 0.013404 Loss_D_real: -0.020758 Loss_D_fake 0.004295
[556/5000][230/535][57154] Loss_D: -0.026731 Loss_G: 0.012029 Loss_D_real: -0.017039 Loss_D_fake 0.009692
[556/5000][235/535][57155] Loss_D: -0.025989 Loss_G: 0.010161 Loss_D_real: -0.007879 Loss_D_fake 0.018110
[556/5000][240/535][57156] Loss_D: -0.024477 Loss_G: 0.002834 Loss_D_real: 0.000747 Loss_D_fake 0.025224
[556/5000][245/535][57157] Loss_D: -0.025769 Loss_G: 0.018214 Loss_D_real: -0.022127 Loss_D_fake 0.003642
[556/5000][250/535][57158] Loss_D: -0.027699 Loss_G: 0.009037 Loss_D_real: -0.022792 Loss_D_fake 0.004907
[556/5000][255/535][57159] Loss_D: -0.026516 Loss_G: -0.008549 Loss_D_real: 0.003323 Loss_D_fake 0.029839
[556/5000][260/535][57160] Loss_D: -0.025204 Loss_G: 0.013961 Loss_D_real: -0.022727 Loss_D_fake 0.002478
[556/5000][265/535][57161] Loss_D: -0.025069 Loss_G: 0.028281 Loss_D_real: -0.030403 Loss_D_fake -0.005334
[556/5000][270/535][57162] Loss_D: -0.025617 Loss_G: -0.005883 Loss_D_real: -0.012164 Loss_D_fake 0.013453
[556/5000][275/535][57163] Loss_D: -0.025363 Loss_G: 0.028319 Loss_D_real: -0.011123 Loss_D_fake 0.014240
[556/5000][280/535][57164] Loss_D: -0.025291 Loss_G: 0.030541 Loss_D_real: -0.024469 Loss_D_fake 0.000823
[556/5000][285/535][57165] Loss_D: -0.024571 Loss_G: 0.036955 Loss_D_real: -0.029946 Loss_D_fake -0.005376
[556/5000][290/535][57166] Loss_D: -0.025743 Loss_G: 0.022308 Loss_D_real: -0.034184 Loss_D_fake -0.008441
[556/5000][295/535][57167] Loss_D: -0.026485 Loss_G: -0.003016 Loss_D_real: -0.013983 Loss_D_fake 0.012502
[556/5000][300/535][57168] Loss_D: -0.024821 Loss_G: 0.020621 Loss_D_real: -0.028762 Loss_D_fake -0.003941
[556/5000][305/535][57169] Loss_D: -0.024819 Loss_G: 0.013382 Loss_D_real: -0.015752 Loss_D_fake 0.009067
[556/5000][310/535][57170] Loss_D: -0.024111 Loss_G: -0.004522 Loss_D_real: 0.011212 Loss_D_fake 0.035323
[556/5000][315/535][57171] Loss_D: -0.023267 Loss_G: 0.034563 Loss_D_real: -0.027577 Loss_D_fake -0.004310
[556/5000][320/535][57172] Loss_D: -0.024341 Loss_G: 0.015135 Loss_D_real: -0.019817 Loss_D_fake 0.004524
[556/5000][325/535][57173] Loss_D: -0.027108 Loss_G: 0.011727 Loss_D_real: -0.021261 Loss_D_fake 0.005846
[556/5000][330/535][57174] Loss_D: -0.027467 Loss_G: 0.013336 Loss_D_real: -0.010060 Loss_D_fake 0.017407
[556/5000][335/535][57175] Loss_D: -0.026666 Loss_G: 0.014954 Loss_D_real: -0.010502 Loss_D_fake 0.016164
[556/5000][340/535][57176] Loss_D: -0.025428 Loss_G: 0.009928 Loss_D_real: -0.021873 Loss_D_fake 0.003556
[556/5000][345/535][57177] Loss_D: -0.024145 Loss_G: -0.014453 Loss_D_real: 0.003651 Loss_D_fake 0.027795
[556/5000][350/535][57178] Loss_D: -0.024503 Loss_G: -0.001655 Loss_D_real: -0.003044 Loss_D_fake 0.021459
[556/5000][355/535][57179] Loss_D: -0.025562 Loss_G: 0.011745 Loss_D_real: -0.016841 Loss_D_fake 0.008721
[556/5000][360/535][57180] Loss_D: -0.024371 Loss_G: 0.004754 Loss_D_real: -0.005949 Loss_D_fake 0.018422
[556/5000][365/535][57181] Loss_D: -0.026766 Loss_G: 0.020698 Loss_D_real: -0.015496 Loss_D_fake 0.011270
[556/5000][370/535][57182] Loss_D: -0.026421 Loss_G: 0.011726 Loss_D_real: -0.009242 Loss_D_fake 0.017179
[556/5000][375/535][57183] Loss_D: -0.026516 Loss_G: 0.010680 Loss_D_real: -0.021507 Loss_D_fake 0.005009
[556/5000][380/535][57184] Loss_D: -0.026813 Loss_G: 0.014760 Loss_D_real: -0.017612 Loss_D_fake 0.009201
[556/5000][385/535][57185] Loss_D: -0.025192 Loss_G: 0.028497 Loss_D_real: -0.026104 Loss_D_fake -0.000912
[556/5000][390/535][57186] Loss_D: -0.026914 Loss_G: 0.002254 Loss_D_real: -0.009105 Loss_D_fake 0.017808
[556/5000][395/535][57187] Loss_D: -0.024217 Loss_G: 0.031407 Loss_D_real: -0.032461 Loss_D_fake -0.008244
[556/5000][400/535][57188] Loss_D: -0.025452 Loss_G: -0.002671 Loss_D_real: -0.012368 Loss_D_fake 0.013084
[556/5000][405/535][57189] Loss_D: -0.024869 Loss_G: 0.005608 Loss_D_real: -0.020945 Loss_D_fake 0.003924
[556/5000][410/535][57190] Loss_D: -0.025575 Loss_G: 0.016874 Loss_D_real: -0.021080 Loss_D_fake 0.004494
[556/5000][415/535][57191] Loss_D: -0.023796 Loss_G: -0.008545 Loss_D_real: 0.008117 Loss_D_fake 0.031913
[556/5000][420/535][57192] Loss_D: -0.022528 Loss_G: 0.032514 Loss_D_real: -0.029269 Loss_D_fake -0.006741
[556/5000][425/535][57193] Loss_D: -0.025246 Loss_G: -0.001814 Loss_D_real: -0.002676 Loss_D_fake 0.022570
[556/5000][430/535][57194] Loss_D: -0.024927 Loss_G: 0.019020 Loss_D_real: -0.030397 Loss_D_fake -0.005470
[556/5000][435/535][57195] Loss_D: -0.025224 Loss_G: -0.002074 Loss_D_real: -0.009288 Loss_D_fake 0.015936
[556/5000][440/535][57196] Loss_D: -0.025590 Loss_G: 0.029718 Loss_D_real: -0.026520 Loss_D_fake -0.000930
[556/5000][445/535][57197] Loss_D: -0.026876 Loss_G: 0.017332 Loss_D_real: -0.018027 Loss_D_fake 0.008849
[556/5000][450/535][57198] Loss_D: -0.024308 Loss_G: -0.007634 Loss_D_real: -0.004754 Loss_D_fake 0.019554
[556/5000][455/535][57199] Loss_D: -0.027107 Loss_G: 0.018893 Loss_D_real: -0.018202 Loss_D_fake 0.008904
[556/5000][460/535][57200] Loss_D: -0.025001 Loss_G: 0.001808 Loss_D_real: -0.006202 Loss_D_fake 0.018799
[556/5000][465/535][57201] Loss_D: -0.026767 Loss_G: 0.015159 Loss_D_real: -0.019239 Loss_D_fake 0.007528
[556/5000][470/535][57202] Loss_D: -0.025906 Loss_G: 0.019714 Loss_D_real: -0.015601 Loss_D_fake 0.010305
[556/5000][475/535][57203] Loss_D: -0.024166 Loss_G: 0.017867 Loss_D_real: -0.011568 Loss_D_fake 0.012598
[556/5000][480/535][57204] Loss_D: -0.025700 Loss_G: 0.014241 Loss_D_real: -0.020304 Loss_D_fake 0.005396
[556/5000][485/535][57205] Loss_D: -0.025097 Loss_G: 0.026861 Loss_D_real: -0.026983 Loss_D_fake -0.001885
[556/5000][490/535][57206] Loss_D: -0.025852 Loss_G: -0.015650 Loss_D_real: -0.010236 Loss_D_fake 0.015616
[556/5000][495/535][57207] Loss_D: -0.025140 Loss_G: 0.030275 Loss_D_real: -0.027744 Loss_D_fake -0.002603
[556/5000][500/535][57208] Loss_D: -0.026145 Loss_G: 0.006134 Loss_D_real: -0.017720 Loss_D_fake 0.008425
[556/5000][505/535][57209] Loss_D: -0.026026 Loss_G: -0.007013 Loss_D_real: -0.014804 Loss_D_fake 0.011222
[556/5000][510/535][57210] Loss_D: -0.024283 Loss_G: 0.016402 Loss_D_real: -0.018510 Loss_D_fake 0.005774
[556/5000][515/535][57211] Loss_D: -0.026100 Loss_G: 0.011623 Loss_D_real: -0.012158 Loss_D_fake 0.013941
[556/5000][520/535][57212] Loss_D: -0.026301 Loss_G: 0.021608 Loss_D_real: -0.018039 Loss_D_fake 0.008262
[556/5000][525/535][57213] Loss_D: -0.024561 Loss_G: 0.029635 Loss_D_real: -0.024898 Loss_D_fake -0.000337
[556/5000][530/535][57214] Loss_D: -0.027193 Loss_G: 0.001959 Loss_D_real: -0.010758 Loss_D_fake 0.016435
[556/5000][535/535][57215] Loss_D: -0.024380 Loss_G: -0.013606 Loss_D_real: -0.027160 Loss_D_fake -0.002780
[557/5000][5/535][57216] Loss_D: -0.027239 Loss_G: 0.015933 Loss_D_real: -0.015938 Loss_D_fake 0.011301
[557/5000][10/535][57217] Loss_D: -0.026324 Loss_G: 0.004546 Loss_D_real: -0.015756 Loss_D_fake 0.010568
[557/5000][15/535][57218] Loss_D: -0.024823 Loss_G: 0.034796 Loss_D_real: -0.027567 Loss_D_fake -0.002744
[557/5000][20/535][57219] Loss_D: -0.024747 Loss_G: 0.001965 Loss_D_real: -0.010864 Loss_D_fake 0.013883
[557/5000][25/535][57220] Loss_D: -0.025873 Loss_G: 0.005543 Loss_D_real: -0.008630 Loss_D_fake 0.017243
[557/5000][30/535][57221] Loss_D: -0.025259 Loss_G: 0.013394 Loss_D_real: -0.017545 Loss_D_fake 0.007714
[557/5000][35/535][57222] Loss_D: -0.025757 Loss_G: 0.012085 Loss_D_real: -0.008742 Loss_D_fake 0.017015
[557/5000][40/535][57223] Loss_D: -0.025336 Loss_G: 0.005527 Loss_D_real: -0.009957 Loss_D_fake 0.015379
[557/5000][45/535][57224] Loss_D: -0.024987 Loss_G: 0.019220 Loss_D_real: -0.016892 Loss_D_fake 0.008094
[557/5000][50/535][57225] Loss_D: -0.024582 Loss_G: 0.026149 Loss_D_real: -0.016485 Loss_D_fake 0.008098
[557/5000][55/535][57226] Loss_D: -0.025889 Loss_G: 0.022491 Loss_D_real: -0.023755 Loss_D_fake 0.002134
[557/5000][60/535][57227] Loss_D: -0.025978 Loss_G: 0.007098 Loss_D_real: -0.004401 Loss_D_fake 0.021576
[557/5000][65/535][57228] Loss_D: -0.026575 Loss_G: 0.002086 Loss_D_real: -0.011109 Loss_D_fake 0.015467
[557/5000][70/535][57229] Loss_D: -0.023550 Loss_G: 0.036674 Loss_D_real: -0.028191 Loss_D_fake -0.004640
[557/5000][75/535][57230] Loss_D: -0.025365 Loss_G: -0.009775 Loss_D_real: -0.006708 Loss_D_fake 0.018657
[557/5000][80/535][57231] Loss_D: -0.023565 Loss_G: 0.025064 Loss_D_real: -0.032686 Loss_D_fake -0.009120
[557/5000][85/535][57232] Loss_D: -0.025501 Loss_G: 0.034763 Loss_D_real: -0.029021 Loss_D_fake -0.003519
[557/5000][90/535][57233] Loss_D: -0.025639 Loss_G: 0.019172 Loss_D_real: -0.022057 Loss_D_fake 0.003582
[557/5000][95/535][57234] Loss_D: -0.025960 Loss_G: 0.022721 Loss_D_real: -0.030035 Loss_D_fake -0.004075
[557/5000][100/535][57235] Loss_D: -0.024572 Loss_G: 0.020406 Loss_D_real: -0.013470 Loss_D_fake 0.011102
[557/5000][105/535][57236] Loss_D: -0.026375 Loss_G: 0.024194 Loss_D_real: -0.022878 Loss_D_fake 0.003497
[557/5000][110/535][57237] Loss_D: -0.025123 Loss_G: 0.004607 Loss_D_real: 0.000943 Loss_D_fake 0.026066
[557/5000][115/535][57238] Loss_D: -0.024134 Loss_G: 0.031710 Loss_D_real: -0.031403 Loss_D_fake -0.007270
[557/5000][120/535][57239] Loss_D: -0.026697 Loss_G: 0.009739 Loss_D_real: -0.013456 Loss_D_fake 0.013241
[557/5000][125/535][57240] Loss_D: -0.025365 Loss_G: -0.003958 Loss_D_real: 0.001220 Loss_D_fake 0.026585
[557/5000][130/535][57241] Loss_D: -0.025091 Loss_G: 0.008934 Loss_D_real: -0.009302 Loss_D_fake 0.015790
[557/5000][135/535][57242] Loss_D: -0.025422 Loss_G: 0.014000 Loss_D_real: -0.025148 Loss_D_fake 0.000275
[557/5000][140/535][57243] Loss_D: -0.024799 Loss_G: 0.004462 Loss_D_real: 0.000625 Loss_D_fake 0.025424
[557/5000][145/535][57244] Loss_D: -0.026978 Loss_G: 0.016441 Loss_D_real: -0.018857 Loss_D_fake 0.008122
[557/5000][150/535][57245] Loss_D: -0.026551 Loss_G: 0.035069 Loss_D_real: -0.031055 Loss_D_fake -0.004503
[557/5000][155/535][57246] Loss_D: -0.025856 Loss_G: 0.005986 Loss_D_real: -0.011985 Loss_D_fake 0.013871
[557/5000][160/535][57247] Loss_D: -0.024066 Loss_G: 0.032712 Loss_D_real: -0.033309 Loss_D_fake -0.009243
[557/5000][165/535][57248] Loss_D: -0.024608 Loss_G: 0.036394 Loss_D_real: -0.034068 Loss_D_fake -0.009460
[557/5000][170/535][57249] Loss_D: -0.025618 Loss_G: 0.000320 Loss_D_real: -0.010067 Loss_D_fake 0.015551
[557/5000][175/535][57250] Loss_D: -0.026167 Loss_G: 0.027383 Loss_D_real: -0.028363 Loss_D_fake -0.002196
[557/5000][180/535][57251] Loss_D: -0.025046 Loss_G: -0.002881 Loss_D_real: -0.009983 Loss_D_fake 0.015063
[557/5000][185/535][57252] Loss_D: -0.026674 Loss_G: 0.007477 Loss_D_real: -0.020566 Loss_D_fake 0.006108
[557/5000][190/535][57253] Loss_D: -0.024966 Loss_G: 0.026629 Loss_D_real: -0.026579 Loss_D_fake -0.001613
[557/5000][195/535][57254] Loss_D: -0.026677 Loss_G: -0.000592 Loss_D_real: -0.012696 Loss_D_fake 0.013980
[557/5000][200/535][57255] Loss_D: -0.026632 Loss_G: 0.031994 Loss_D_real: -0.025721 Loss_D_fake 0.000911
[557/5000][205/535][57256] Loss_D: -0.025121 Loss_G: 0.003526 Loss_D_real: -0.013217 Loss_D_fake 0.011904
[557/5000][210/535][57257] Loss_D: -0.026245 Loss_G: 0.025585 Loss_D_real: -0.035547 Loss_D_fake -0.009302
[557/5000][215/535][57258] Loss_D: -0.027059 Loss_G: 0.016305 Loss_D_real: -0.018850 Loss_D_fake 0.008209
[557/5000][220/535][57259] Loss_D: -0.026441 Loss_G: 0.020388 Loss_D_real: -0.025136 Loss_D_fake 0.001304
[557/5000][225/535][57260] Loss_D: -0.027160 Loss_G: 0.021757 Loss_D_real: -0.018814 Loss_D_fake 0.008346
[557/5000][230/535][57261] Loss_D: -0.024590 Loss_G: 0.019414 Loss_D_real: -0.015930 Loss_D_fake 0.008660
[557/5000][235/535][57262] Loss_D: -0.026164 Loss_G: 0.000679 Loss_D_real: -0.007541 Loss_D_fake 0.018623
[557/5000][240/535][57263] Loss_D: -0.024519 Loss_G: -0.016827 Loss_D_real: -0.001316 Loss_D_fake 0.023203
[557/5000][245/535][57264] Loss_D: -0.024652 Loss_G: 0.031524 Loss_D_real: -0.028597 Loss_D_fake -0.003945
[557/5000][250/535][57265] Loss_D: -0.025665 Loss_G: -0.003368 Loss_D_real: 0.004514 Loss_D_fake 0.030179
[557/5000][255/535][57266] Loss_D: -0.024257 Loss_G: 0.008456 Loss_D_real: -0.016946 Loss_D_fake 0.007311
[557/5000][260/535][57267] Loss_D: -0.026158 Loss_G: 0.008531 Loss_D_real: -0.015372 Loss_D_fake 0.010787
[557/5000][265/535][57268] Loss_D: -0.024312 Loss_G: 0.009202 Loss_D_real: -0.010325 Loss_D_fake 0.013987
[557/5000][270/535][57269] Loss_D: -0.025021 Loss_G: 0.029187 Loss_D_real: -0.034030 Loss_D_fake -0.009009
[557/5000][275/535][57270] Loss_D: -0.025561 Loss_G: -0.008890 Loss_D_real: -0.008669 Loss_D_fake 0.016892
[557/5000][280/535][57271] Loss_D: -0.025645 Loss_G: 0.031631 Loss_D_real: -0.024198 Loss_D_fake 0.001446
[557/5000][285/535][57272] Loss_D: -0.025619 Loss_G: 0.022350 Loss_D_real: -0.022763 Loss_D_fake 0.002856
[557/5000][290/535][57273] Loss_D: -0.025791 Loss_G: 0.013512 Loss_D_real: -0.022997 Loss_D_fake 0.002794
[557/5000][295/535][57274] Loss_D: -0.025618 Loss_G: 0.017851 Loss_D_real: -0.024680 Loss_D_fake 0.000939
[557/5000][300/535][57275] Loss_D: -0.026627 Loss_G: 0.006688 Loss_D_real: -0.017286 Loss_D_fake 0.009341
[557/5000][305/535][57276] Loss_D: -0.025703 Loss_G: 0.021752 Loss_D_real: -0.029191 Loss_D_fake -0.003488
[557/5000][310/535][57277] Loss_D: -0.026204 Loss_G: 0.011619 Loss_D_real: -0.006403 Loss_D_fake 0.019802
[557/5000][315/535][57278] Loss_D: -0.026055 Loss_G: 0.008340 Loss_D_real: -0.011679 Loss_D_fake 0.014375
[557/5000][320/535][57279] Loss_D: -0.025658 Loss_G: 0.025326 Loss_D_real: -0.018718 Loss_D_fake 0.006940
[557/5000][325/535][57280] Loss_D: -0.024850 Loss_G: 0.032185 Loss_D_real: -0.031068 Loss_D_fake -0.006218
[557/5000][330/535][57281] Loss_D: -0.026102 Loss_G: -0.007117 Loss_D_real: -0.008009 Loss_D_fake 0.018094
[557/5000][335/535][57282] Loss_D: -0.024958 Loss_G: 0.003458 Loss_D_real: -0.007978 Loss_D_fake 0.016980
[557/5000][340/535][57283] Loss_D: -0.025800 Loss_G: 0.023265 Loss_D_real: -0.018338 Loss_D_fake 0.007462
[557/5000][345/535][57284] Loss_D: -0.027866 Loss_G: 0.009705 Loss_D_real: -0.010125 Loss_D_fake 0.017741
[557/5000][350/535][57285] Loss_D: -0.025529 Loss_G: 0.028770 Loss_D_real: -0.021988 Loss_D_fake 0.003540
[557/5000][355/535][57286] Loss_D: -0.024956 Loss_G: 0.000635 Loss_D_real: -0.016997 Loss_D_fake 0.007959
[557/5000][360/535][57287] Loss_D: -0.024616 Loss_G: 0.030621 Loss_D_real: -0.034908 Loss_D_fake -0.010291
[557/5000][365/535][57288] Loss_D: -0.024864 Loss_G: -0.005394 Loss_D_real: -0.014487 Loss_D_fake 0.010377
[557/5000][370/535][57289] Loss_D: -0.024233 Loss_G: 0.018089 Loss_D_real: -0.021483 Loss_D_fake 0.002750
[557/5000][375/535][57290] Loss_D: -0.026390 Loss_G: 0.014851 Loss_D_real: -0.017480 Loss_D_fake 0.008910
[557/5000][380/535][57291] Loss_D: -0.025683 Loss_G: 0.029303 Loss_D_real: -0.029320 Loss_D_fake -0.003637
[557/5000][385/535][57292] Loss_D: -0.025692 Loss_G: 0.006293 Loss_D_real: -0.012240 Loss_D_fake 0.013452
[557/5000][390/535][57293] Loss_D: -0.025112 Loss_G: 0.024838 Loss_D_real: -0.025138 Loss_D_fake -0.000026
[557/5000][395/535][57294] Loss_D: -0.024699 Loss_G: 0.013864 Loss_D_real: -0.025006 Loss_D_fake -0.000307
[557/5000][400/535][57295] Loss_D: -0.025599 Loss_G: 0.019007 Loss_D_real: -0.028953 Loss_D_fake -0.003354
[557/5000][405/535][57296] Loss_D: -0.026744 Loss_G: 0.000614 Loss_D_real: -0.001486 Loss_D_fake 0.025258
[557/5000][410/535][57297] Loss_D: -0.024864 Loss_G: -0.003193 Loss_D_real: -0.006359 Loss_D_fake 0.018504
[557/5000][415/535][57298] Loss_D: -0.026795 Loss_G: 0.006861 Loss_D_real: -0.006955 Loss_D_fake 0.019841
[557/5000][420/535][57299] Loss_D: -0.024629 Loss_G: -0.013387 Loss_D_real: 0.006122 Loss_D_fake 0.030750
[557/5000][425/535][57300] Loss_D: -0.024820 Loss_G: 0.020317 Loss_D_real: -0.023711 Loss_D_fake 0.001109
[557/5000][430/535][57301] Loss_D: -0.025842 Loss_G: 0.026373 Loss_D_real: -0.022474 Loss_D_fake 0.003368
[557/5000][435/535][57302] Loss_D: -0.024260 Loss_G: -0.007717 Loss_D_real: 0.006362 Loss_D_fake 0.030622
[557/5000][440/535][57303] Loss_D: -0.024725 Loss_G: -0.002676 Loss_D_real: -0.006254 Loss_D_fake 0.018471
[557/5000][445/535][57304] Loss_D: -0.024530 Loss_G: 0.009386 Loss_D_real: -0.007958 Loss_D_fake 0.016573
[557/5000][450/535][57305] Loss_D: -0.024972 Loss_G: -0.007283 Loss_D_real: -0.005834 Loss_D_fake 0.019138
[557/5000][455/535][57306] Loss_D: -0.024752 Loss_G: 0.014578 Loss_D_real: -0.018898 Loss_D_fake 0.005854
[557/5000][460/535][57307] Loss_D: -0.025104 Loss_G: -0.011123 Loss_D_real: -0.000190 Loss_D_fake 0.024915
[557/5000][465/535][57308] Loss_D: -0.024799 Loss_G: 0.013051 Loss_D_real: -0.016173 Loss_D_fake 0.008626
[557/5000][470/535][57309] Loss_D: -0.024355 Loss_G: -0.010829 Loss_D_real: 0.001359 Loss_D_fake 0.025715
[557/5000][475/535][57310] Loss_D: -0.024947 Loss_G: 0.022861 Loss_D_real: -0.026267 Loss_D_fake -0.001320
[557/5000][480/535][57311] Loss_D: -0.024315 Loss_G: 0.035320 Loss_D_real: -0.032642 Loss_D_fake -0.008328
[557/5000][485/535][57312] Loss_D: -0.026446 Loss_G: 0.014973 Loss_D_real: -0.016944 Loss_D_fake 0.009501
[557/5000][490/535][57313] Loss_D: -0.026321 Loss_G: 0.019781 Loss_D_real: -0.016785 Loss_D_fake 0.009536
[557/5000][495/535][57314] Loss_D: -0.026062 Loss_G: -0.005125 Loss_D_real: -0.003028 Loss_D_fake 0.023035
[557/5000][500/535][57315] Loss_D: -0.027740 Loss_G: 0.008558 Loss_D_real: -0.014910 Loss_D_fake 0.012831
[557/5000][505/535][57316] Loss_D: -0.025635 Loss_G: -0.009450 Loss_D_real: 0.001300 Loss_D_fake 0.026935
[557/5000][510/535][57317] Loss_D: -0.026171 Loss_G: 0.031813 Loss_D_real: -0.020342 Loss_D_fake 0.005829
[557/5000][515/535][57318] Loss_D: -0.024695 Loss_G: -0.012702 Loss_D_real: 0.004002 Loss_D_fake 0.028697
[557/5000][520/535][57319] Loss_D: -0.025795 Loss_G: 0.010948 Loss_D_real: -0.018219 Loss_D_fake 0.007577
[557/5000][525/535][57320] Loss_D: -0.026164 Loss_G: 0.030880 Loss_D_real: -0.030880 Loss_D_fake -0.004716
[557/5000][530/535][57321] Loss_D: -0.026537 Loss_G: 0.005398 Loss_D_real: -0.014265 Loss_D_fake 0.012272
[557/5000][535/535][57322] Loss_D: -0.025459 Loss_G: 0.006452 Loss_D_real: -0.004477 Loss_D_fake 0.020983
[558/5000][5/535][57323] Loss_D: -0.024900 Loss_G: 0.019490 Loss_D_real: -0.021810 Loss_D_fake 0.003091
[558/5000][10/535][57324] Loss_D: -0.024767 Loss_G: 0.024613 Loss_D_real: -0.024730 Loss_D_fake 0.000037
[558/5000][15/535][57325] Loss_D: -0.026480 Loss_G: 0.010193 Loss_D_real: -0.016344 Loss_D_fake 0.010136
[558/5000][20/535][57326] Loss_D: -0.027518 Loss_G: 0.002680 Loss_D_real: -0.008166 Loss_D_fake 0.019352
[558/5000][25/535][57327] Loss_D: -0.025547 Loss_G: 0.027476 Loss_D_real: -0.024752 Loss_D_fake 0.000796
[558/5000][30/535][57328] Loss_D: -0.025023 Loss_G: 0.021293 Loss_D_real: -0.042571 Loss_D_fake -0.017547
[558/5000][35/535][57329] Loss_D: -0.026169 Loss_G: 0.006169 Loss_D_real: -0.012199 Loss_D_fake 0.013969
[558/5000][40/535][57330] Loss_D: -0.025443 Loss_G: 0.012880 Loss_D_real: -0.021196 Loss_D_fake 0.004246
[558/5000][45/535][57331] Loss_D: -0.024935 Loss_G: 0.007503 Loss_D_real: -0.017420 Loss_D_fake 0.007515
[558/5000][50/535][57332] Loss_D: -0.024879 Loss_G: -0.003827 Loss_D_real: -0.007270 Loss_D_fake 0.017608
[558/5000][55/535][57333] Loss_D: -0.023908 Loss_G: 0.020586 Loss_D_real: -0.029209 Loss_D_fake -0.005301
[558/5000][60/535][57334] Loss_D: -0.025740 Loss_G: 0.026359 Loss_D_real: -0.021640 Loss_D_fake 0.004100
[558/5000][65/535][57335] Loss_D: -0.023783 Loss_G: 0.014947 Loss_D_real: -0.020113 Loss_D_fake 0.003670
[558/5000][70/535][57336] Loss_D: -0.025128 Loss_G: 0.010367 Loss_D_real: -0.008357 Loss_D_fake 0.016771
[558/5000][75/535][57337] Loss_D: -0.025140 Loss_G: 0.024269 Loss_D_real: -0.025193 Loss_D_fake -0.000053
[558/5000][80/535][57338] Loss_D: -0.026224 Loss_G: 0.009786 Loss_D_real: -0.023696 Loss_D_fake 0.002529
[558/5000][85/535][57339] Loss_D: -0.026137 Loss_G: 0.012085 Loss_D_real: -0.015669 Loss_D_fake 0.010468
[558/5000][90/535][57340] Loss_D: -0.025501 Loss_G: 0.005551 Loss_D_real: -0.020288 Loss_D_fake 0.005213
[558/5000][95/535][57341] Loss_D: -0.025790 Loss_G: 0.000840 Loss_D_real: -0.018282 Loss_D_fake 0.007508
[558/5000][100/535][57342] Loss_D: -0.027271 Loss_G: 0.007396 Loss_D_real: -0.009519 Loss_D_fake 0.017751
[558/5000][105/535][57343] Loss_D: -0.024751 Loss_G: -0.002703 Loss_D_real: -0.015408 Loss_D_fake 0.009344
[558/5000][110/535][57344] Loss_D: -0.025657 Loss_G: 0.033547 Loss_D_real: -0.032605 Loss_D_fake -0.006948
[558/5000][115/535][57345] Loss_D: -0.025770 Loss_G: 0.010931 Loss_D_real: -0.017956 Loss_D_fake 0.007814
[558/5000][120/535][57346] Loss_D: -0.025861 Loss_G: 0.013828 Loss_D_real: -0.015248 Loss_D_fake 0.010613
[558/5000][125/535][57347] Loss_D: -0.025221 Loss_G: 0.011938 Loss_D_real: -0.014527 Loss_D_fake 0.010694
[558/5000][130/535][57348] Loss_D: -0.024188 Loss_G: -0.014945 Loss_D_real: 0.011344 Loss_D_fake 0.035533
[558/5000][135/535][57349] Loss_D: -0.025912 Loss_G: 0.020064 Loss_D_real: -0.021058 Loss_D_fake 0.004855
[558/5000][140/535][57350] Loss_D: -0.029097 Loss_G: 0.009614 Loss_D_real: -0.019057 Loss_D_fake 0.010039
[558/5000][145/535][57351] Loss_D: -0.026345 Loss_G: 0.012900 Loss_D_real: -0.017410 Loss_D_fake 0.008936
[558/5000][150/535][57352] Loss_D: -0.027238 Loss_G: 0.015725 Loss_D_real: -0.019174 Loss_D_fake 0.008064
[558/5000][155/535][57353] Loss_D: -0.025729 Loss_G: -0.006397 Loss_D_real: -0.001135 Loss_D_fake 0.024594
[558/5000][160/535][57354] Loss_D: -0.025647 Loss_G: 0.021439 Loss_D_real: -0.019515 Loss_D_fake 0.006132
[558/5000][165/535][57355] Loss_D: -0.026073 Loss_G: 0.010894 Loss_D_real: -0.012701 Loss_D_fake 0.013372
[558/5000][170/535][57356] Loss_D: -0.025301 Loss_G: 0.001339 Loss_D_real: -0.012037 Loss_D_fake 0.013264
[558/5000][175/535][57357] Loss_D: -0.027056 Loss_G: 0.020014 Loss_D_real: -0.029965 Loss_D_fake -0.002910
[558/5000][180/535][57358] Loss_D: -0.025006 Loss_G: 0.032948 Loss_D_real: -0.038756 Loss_D_fake -0.013751
[558/5000][185/535][57359] Loss_D: -0.025766 Loss_G: -0.002063 Loss_D_real: -0.011879 Loss_D_fake 0.013887
[558/5000][190/535][57360] Loss_D: -0.026219 Loss_G: -0.004897 Loss_D_real: -0.006768 Loss_D_fake 0.019450
[558/5000][195/535][57361] Loss_D: -0.024772 Loss_G: 0.004671 Loss_D_real: -0.024129 Loss_D_fake 0.000642
[558/5000][200/535][57362] Loss_D: -0.025237 Loss_G: -0.007432 Loss_D_real: 0.001274 Loss_D_fake 0.026511
[558/5000][205/535][57363] Loss_D: -0.024994 Loss_G: 0.010007 Loss_D_real: -0.012997 Loss_D_fake 0.011997
[558/5000][210/535][57364] Loss_D: -0.023810 Loss_G: 0.028128 Loss_D_real: -0.027239 Loss_D_fake -0.003429
[558/5000][215/535][57365] Loss_D: -0.027067 Loss_G: 0.000257 Loss_D_real: -0.002356 Loss_D_fake 0.024711
[558/5000][220/535][57366] Loss_D: -0.025412 Loss_G: 0.012857 Loss_D_real: -0.021968 Loss_D_fake 0.003444
[558/5000][225/535][57367] Loss_D: -0.024065 Loss_G: 0.019496 Loss_D_real: -0.028030 Loss_D_fake -0.003966
[558/5000][230/535][57368] Loss_D: -0.026129 Loss_G: 0.013103 Loss_D_real: -0.020854 Loss_D_fake 0.005275
[558/5000][235/535][57369] Loss_D: -0.024162 Loss_G: -0.014548 Loss_D_real: -0.001465 Loss_D_fake 0.022697
[558/5000][240/535][57370] Loss_D: -0.024214 Loss_G: 0.017334 Loss_D_real: -0.028135 Loss_D_fake -0.003921
[558/5000][245/535][57371] Loss_D: -0.024388 Loss_G: 0.010774 Loss_D_real: -0.008886 Loss_D_fake 0.015502
[558/5000][250/535][57372] Loss_D: -0.025038 Loss_G: 0.030261 Loss_D_real: -0.023191 Loss_D_fake 0.001847
[558/5000][255/535][57373] Loss_D: -0.025524 Loss_G: 0.003331 Loss_D_real: -0.012240 Loss_D_fake 0.013284
[558/5000][260/535][57374] Loss_D: -0.024824 Loss_G: 0.029616 Loss_D_real: -0.024457 Loss_D_fake 0.000367
[558/5000][265/535][57375] Loss_D: -0.024306 Loss_G: 0.013790 Loss_D_real: -0.019300 Loss_D_fake 0.005007
[558/5000][270/535][57376] Loss_D: -0.025557 Loss_G: 0.012847 Loss_D_real: -0.018284 Loss_D_fake 0.007274
[558/5000][275/535][57377] Loss_D: -0.025668 Loss_G: -0.001847 Loss_D_real: -0.006696 Loss_D_fake 0.018972
[558/5000][280/535][57378] Loss_D: -0.025190 Loss_G: 0.016125 Loss_D_real: -0.019962 Loss_D_fake 0.005229
[558/5000][285/535][57379] Loss_D: -0.025641 Loss_G: 0.026726 Loss_D_real: -0.027380 Loss_D_fake -0.001738
[558/5000][290/535][57380] Loss_D: -0.025539 Loss_G: 0.006516 Loss_D_real: -0.012230 Loss_D_fake 0.013309
[558/5000][295/535][57381] Loss_D: -0.024133 Loss_G: -0.007597 Loss_D_real: -0.006485 Loss_D_fake 0.017648
[558/5000][300/535][57382] Loss_D: -0.024247 Loss_G: 0.022308 Loss_D_real: -0.021790 Loss_D_fake 0.002456
[558/5000][305/535][57383] Loss_D: -0.025915 Loss_G: 0.000678 Loss_D_real: 0.000143 Loss_D_fake 0.026057
[558/5000][310/535][57384] Loss_D: -0.026643 Loss_G: 0.014729 Loss_D_real: -0.010806 Loss_D_fake 0.015837
[558/5000][315/535][57385] Loss_D: -0.026226 Loss_G: 0.008381 Loss_D_real: -0.006516 Loss_D_fake 0.019710
[558/5000][320/535][57386] Loss_D: -0.026052 Loss_G: 0.007056 Loss_D_real: -0.016313 Loss_D_fake 0.009738
[558/5000][325/535][57387] Loss_D: -0.026886 Loss_G: 0.000653 Loss_D_real: -0.004388 Loss_D_fake 0.022497
[558/5000][330/535][57388] Loss_D: -0.027849 Loss_G: 0.033628 Loss_D_real: -0.025823 Loss_D_fake 0.002026
[558/5000][335/535][57389] Loss_D: -0.026227 Loss_G: 0.012890 Loss_D_real: -0.015636 Loss_D_fake 0.010591
[558/5000][340/535][57390] Loss_D: -0.025608 Loss_G: 0.021423 Loss_D_real: -0.025577 Loss_D_fake 0.000030
[558/5000][345/535][57391] Loss_D: -0.025471 Loss_G: -0.001256 Loss_D_real: -0.002770 Loss_D_fake 0.022701
[558/5000][350/535][57392] Loss_D: -0.025721 Loss_G: 0.020289 Loss_D_real: -0.023300 Loss_D_fake 0.002421
[558/5000][355/535][57393] Loss_D: -0.024988 Loss_G: 0.021181 Loss_D_real: -0.023569 Loss_D_fake 0.001419
[558/5000][360/535][57394] Loss_D: -0.027146 Loss_G: 0.017153 Loss_D_real: -0.019308 Loss_D_fake 0.007837
[558/5000][365/535][57395] Loss_D: -0.025277 Loss_G: 0.009022 Loss_D_real: -0.014246 Loss_D_fake 0.011032
[558/5000][370/535][57396] Loss_D: -0.024813 Loss_G: 0.001609 Loss_D_real: -0.015515 Loss_D_fake 0.009297
[558/5000][375/535][57397] Loss_D: -0.025170 Loss_G: -0.002803 Loss_D_real: -0.008220 Loss_D_fake 0.016951
[558/5000][380/535][57398] Loss_D: -0.025989 Loss_G: 0.003102 Loss_D_real: -0.000785 Loss_D_fake 0.025204
[558/5000][385/535][57399] Loss_D: -0.023760 Loss_G: 0.026874 Loss_D_real: -0.034770 Loss_D_fake -0.011010
[558/5000][390/535][57400] Loss_D: -0.024702 Loss_G: 0.046219 Loss_D_real: -0.035368 Loss_D_fake -0.010666
[558/5000][395/535][57401] Loss_D: -0.024496 Loss_G: 0.029924 Loss_D_real: -0.032517 Loss_D_fake -0.008021
[558/5000][400/535][57402] Loss_D: -0.023674 Loss_G: -0.019162 Loss_D_real: 0.012425 Loss_D_fake 0.036099
[558/5000][405/535][57403] Loss_D: -0.024116 Loss_G: 0.024748 Loss_D_real: -0.021440 Loss_D_fake 0.002676
[558/5000][410/535][57404] Loss_D: -0.025957 Loss_G: 0.011154 Loss_D_real: -0.025193 Loss_D_fake 0.000763
[558/5000][415/535][57405] Loss_D: -0.024450 Loss_G: 0.018078 Loss_D_real: -0.024971 Loss_D_fake -0.000521
[558/5000][420/535][57406] Loss_D: -0.024717 Loss_G: 0.032658 Loss_D_real: -0.020021 Loss_D_fake 0.004696
[558/5000][425/535][57407] Loss_D: -0.026625 Loss_G: -0.000767 Loss_D_real: -0.008703 Loss_D_fake 0.017922
[558/5000][430/535][57408] Loss_D: -0.027005 Loss_G: 0.021378 Loss_D_real: -0.026087 Loss_D_fake 0.000918
[558/5000][435/535][57409] Loss_D: -0.023839 Loss_G: -0.016488 Loss_D_real: 0.012474 Loss_D_fake 0.036312
[558/5000][440/535][57410] Loss_D: -0.025027 Loss_G: 0.015796 Loss_D_real: -0.033645 Loss_D_fake -0.008618
[558/5000][445/535][57411] Loss_D: -0.024905 Loss_G: 0.019076 Loss_D_real: -0.020855 Loss_D_fake 0.004050
[558/5000][450/535][57412] Loss_D: -0.023122 Loss_G: 0.000627 Loss_D_real: -0.000254 Loss_D_fake 0.022869
[558/5000][455/535][57413] Loss_D: -0.025249 Loss_G: 0.012620 Loss_D_real: -0.008748 Loss_D_fake 0.016501
[558/5000][460/535][57414] Loss_D: -0.025592 Loss_G: 0.029282 Loss_D_real: -0.029466 Loss_D_fake -0.003874
[558/5000][465/535][57415] Loss_D: -0.025825 Loss_G: 0.026937 Loss_D_real: -0.026688 Loss_D_fake -0.000863
[558/5000][470/535][57416] Loss_D: -0.025172 Loss_G: 0.012976 Loss_D_real: -0.016614 Loss_D_fake 0.008558
[558/5000][475/535][57417] Loss_D: -0.026447 Loss_G: 0.003512 Loss_D_real: -0.006964 Loss_D_fake 0.019483
[558/5000][480/535][57418] Loss_D: -0.026691 Loss_G: -0.000674 Loss_D_real: -0.019840 Loss_D_fake 0.006851
[558/5000][485/535][57419] Loss_D: -0.024514 Loss_G: 0.013164 Loss_D_real: -0.010865 Loss_D_fake 0.013649
[558/5000][490/535][57420] Loss_D: -0.025600 Loss_G: 0.014605 Loss_D_real: -0.021730 Loss_D_fake 0.003870
[558/5000][495/535][57421] Loss_D: -0.027625 Loss_G: 0.031469 Loss_D_real: -0.026044 Loss_D_fake 0.001581
[558/5000][500/535][57422] Loss_D: -0.025634 Loss_G: 0.011425 Loss_D_real: -0.023008 Loss_D_fake 0.002625
[558/5000][505/535][57423] Loss_D: -0.027153 Loss_G: 0.029345 Loss_D_real: -0.018298 Loss_D_fake 0.008856
[558/5000][510/535][57424] Loss_D: -0.025841 Loss_G: 0.001607 Loss_D_real: -0.012304 Loss_D_fake 0.013537
[558/5000][515/535][57425] Loss_D: -0.027401 Loss_G: 0.018815 Loss_D_real: -0.018372 Loss_D_fake 0.009028
[558/5000][520/535][57426] Loss_D: -0.025112 Loss_G: 0.026569 Loss_D_real: -0.032724 Loss_D_fake -0.007613
[558/5000][525/535][57427] Loss_D: -0.026060 Loss_G: -0.006295 Loss_D_real: -0.003912 Loss_D_fake 0.022148
[558/5000][530/535][57428] Loss_D: -0.025575 Loss_G: 0.029461 Loss_D_real: -0.019835 Loss_D_fake 0.005741
[558/5000][535/535][57429] Loss_D: -0.030011 Loss_G: 0.002033 Loss_D_real: -0.028671 Loss_D_fake 0.001339
[559/5000][5/535][57430] Loss_D: -0.026273 Loss_G: 0.017220 Loss_D_real: -0.021335 Loss_D_fake 0.004938
[559/5000][10/535][57431] Loss_D: -0.026380 Loss_G: 0.017015 Loss_D_real: -0.020710 Loss_D_fake 0.005669
[559/5000][15/535][57432] Loss_D: -0.027186 Loss_G: 0.010514 Loss_D_real: -0.023370 Loss_D_fake 0.003815
[559/5000][20/535][57433] Loss_D: -0.027015 Loss_G: 0.029253 Loss_D_real: -0.016278 Loss_D_fake 0.010737
[559/5000][25/535][57434] Loss_D: -0.025948 Loss_G: 0.004076 Loss_D_real: -0.005723 Loss_D_fake 0.020225
[559/5000][30/535][57435] Loss_D: -0.025574 Loss_G: 0.028279 Loss_D_real: -0.027480 Loss_D_fake -0.001905
[559/5000][35/535][57436] Loss_D: -0.025563 Loss_G: 0.016752 Loss_D_real: -0.024073 Loss_D_fake 0.001490
[559/5000][40/535][57437] Loss_D: -0.025869 Loss_G: 0.014382 Loss_D_real: -0.025375 Loss_D_fake 0.000494
[559/5000][45/535][57438] Loss_D: -0.025307 Loss_G: 0.028938 Loss_D_real: -0.030204 Loss_D_fake -0.004897
[559/5000][50/535][57439] Loss_D: -0.025179 Loss_G: -0.011707 Loss_D_real: -0.003636 Loss_D_fake 0.021542
[559/5000][55/535][57440] Loss_D: -0.024245 Loss_G: 0.028137 Loss_D_real: -0.028913 Loss_D_fake -0.004668
[559/5000][60/535][57441] Loss_D: -0.025104 Loss_G: -0.008722 Loss_D_real: -0.004174 Loss_D_fake 0.020930
[559/5000][65/535][57442] Loss_D: -0.025803 Loss_G: 0.005862 Loss_D_real: -0.014965 Loss_D_fake 0.010838
[559/5000][70/535][57443] Loss_D: -0.024611 Loss_G: 0.004420 Loss_D_real: -0.012375 Loss_D_fake 0.012236
[559/5000][75/535][57444] Loss_D: -0.026059 Loss_G: 0.000425 Loss_D_real: -0.022222 Loss_D_fake 0.003837
[559/5000][80/535][57445] Loss_D: -0.026147 Loss_G: 0.016442 Loss_D_real: -0.009952 Loss_D_fake 0.016194
[559/5000][85/535][57446] Loss_D: -0.024456 Loss_G: 0.025842 Loss_D_real: -0.040013 Loss_D_fake -0.015556
[559/5000][90/535][57447] Loss_D: -0.025229 Loss_G: 0.032635 Loss_D_real: -0.027708 Loss_D_fake -0.002479
[559/5000][95/535][57448] Loss_D: -0.026451 Loss_G: -0.008196 Loss_D_real: 0.004127 Loss_D_fake 0.030578
[559/5000][100/535][57449] Loss_D: -0.025047 Loss_G: 0.025613 Loss_D_real: -0.026039 Loss_D_fake -0.000992
[559/5000][105/535][57450] Loss_D: -0.026756 Loss_G: 0.015651 Loss_D_real: -0.026756 Loss_D_fake 0.000000
[559/5000][110/535][57451] Loss_D: -0.025752 Loss_G: 0.023112 Loss_D_real: -0.027169 Loss_D_fake -0.001417
[559/5000][115/535][57452] Loss_D: -0.025852 Loss_G: 0.004666 Loss_D_real: -0.013759 Loss_D_fake 0.012093
[559/5000][120/535][57453] Loss_D: -0.025472 Loss_G: 0.010613 Loss_D_real: -0.007214 Loss_D_fake 0.018258
[559/5000][125/535][57454] Loss_D: -0.025039 Loss_G: -0.006417 Loss_D_real: -0.003463 Loss_D_fake 0.021576
[559/5000][130/535][57455] Loss_D: -0.024537 Loss_G: 0.029252 Loss_D_real: -0.034829 Loss_D_fake -0.010292
[559/5000][135/535][57456] Loss_D: -0.024268 Loss_G: 0.009360 Loss_D_real: -0.010615 Loss_D_fake 0.013653
[559/5000][140/535][57457] Loss_D: -0.025732 Loss_G: 0.010653 Loss_D_real: -0.014501 Loss_D_fake 0.011231
[559/5000][145/535][57458] Loss_D: -0.025472 Loss_G: -0.001902 Loss_D_real: -0.002164 Loss_D_fake 0.023308
[559/5000][150/535][57459] Loss_D: -0.025842 Loss_G: 0.023598 Loss_D_real: -0.024995 Loss_D_fake 0.000847
[559/5000][155/535][57460] Loss_D: -0.026413 Loss_G: 0.000409 Loss_D_real: -0.005770 Loss_D_fake 0.020643
[559/5000][160/535][57461] Loss_D: -0.025681 Loss_G: 0.017547 Loss_D_real: -0.026821 Loss_D_fake -0.001140
[559/5000][165/535][57462] Loss_D: -0.026576 Loss_G: -0.006345 Loss_D_real: -0.006439 Loss_D_fake 0.020137
[559/5000][170/535][57463] Loss_D: -0.026129 Loss_G: 0.022082 Loss_D_real: -0.020435 Loss_D_fake 0.005694
[559/5000][175/535][57464] Loss_D: -0.025528 Loss_G: 0.017458 Loss_D_real: -0.023163 Loss_D_fake 0.002366
[559/5000][180/535][57465] Loss_D: -0.026455 Loss_G: 0.002171 Loss_D_real: -0.012448 Loss_D_fake 0.014007
[559/5000][185/535][57466] Loss_D: -0.025313 Loss_G: 0.008483 Loss_D_real: -0.008012 Loss_D_fake 0.017301
[559/5000][190/535][57467] Loss_D: -0.025933 Loss_G: 0.005368 Loss_D_real: -0.011412 Loss_D_fake 0.014521
[559/5000][195/535][57468] Loss_D: -0.026111 Loss_G: 0.017633 Loss_D_real: -0.016740 Loss_D_fake 0.009371
[559/5000][200/535][57469] Loss_D: -0.026677 Loss_G: 0.016834 Loss_D_real: -0.014248 Loss_D_fake 0.012429
[559/5000][205/535][57470] Loss_D: -0.025555 Loss_G: 0.010109 Loss_D_real: -0.011423 Loss_D_fake 0.014132
[559/5000][210/535][57471] Loss_D: -0.026059 Loss_G: -0.002028 Loss_D_real: -0.014630 Loss_D_fake 0.011429
[559/5000][215/535][57472] Loss_D: -0.024630 Loss_G: 0.032641 Loss_D_real: -0.023377 Loss_D_fake 0.001253
[559/5000][220/535][57473] Loss_D: -0.024853 Loss_G: 0.006538 Loss_D_real: -0.009490 Loss_D_fake 0.015363
[559/5000][225/535][57474] Loss_D: -0.024610 Loss_G: 0.024142 Loss_D_real: -0.020989 Loss_D_fake 0.003621
[559/5000][230/535][57475] Loss_D: -0.027280 Loss_G: 0.029775 Loss_D_real: -0.024149 Loss_D_fake 0.003131
[559/5000][235/535][57476] Loss_D: -0.025818 Loss_G: 0.020979 Loss_D_real: -0.019761 Loss_D_fake 0.006057
[559/5000][240/535][57477] Loss_D: -0.025177 Loss_G: 0.008160 Loss_D_real: -0.009840 Loss_D_fake 0.015337
[559/5000][245/535][57478] Loss_D: -0.025974 Loss_G: 0.009880 Loss_D_real: -0.017271 Loss_D_fake 0.008703
[559/5000][250/535][57479] Loss_D: -0.025112 Loss_G: -0.004075 Loss_D_real: -0.003334 Loss_D_fake 0.021778
[559/5000][255/535][57480] Loss_D: -0.024186 Loss_G: 0.030727 Loss_D_real: -0.030959 Loss_D_fake -0.006773
[559/5000][260/535][57481] Loss_D: -0.024664 Loss_G: -0.009744 Loss_D_real: -0.006782 Loss_D_fake 0.017883
[559/5000][265/535][57482] Loss_D: -0.025330 Loss_G: 0.016695 Loss_D_real: -0.010171 Loss_D_fake 0.015159
[559/5000][270/535][57483] Loss_D: -0.025949 Loss_G: 0.009994 Loss_D_real: -0.016075 Loss_D_fake 0.009874
[559/5000][275/535][57484] Loss_D: -0.026098 Loss_G: 0.017656 Loss_D_real: -0.022700 Loss_D_fake 0.003398
[559/5000][280/535][57485] Loss_D: -0.025340 Loss_G: 0.004066 Loss_D_real: -0.014880 Loss_D_fake 0.010459
[559/5000][285/535][57486] Loss_D: -0.027850 Loss_G: 0.019297 Loss_D_real: -0.028417 Loss_D_fake -0.000567
[559/5000][290/535][57487] Loss_D: -0.023840 Loss_G: 0.016058 Loss_D_real: -0.023664 Loss_D_fake 0.000176
[559/5000][295/535][57488] Loss_D: -0.025120 Loss_G: 0.043113 Loss_D_real: -0.030495 Loss_D_fake -0.005376
[559/5000][300/535][57489] Loss_D: -0.026849 Loss_G: 0.000002 Loss_D_real: -0.010043 Loss_D_fake 0.016807
[559/5000][305/535][57490] Loss_D: -0.024237 Loss_G: 0.023622 Loss_D_real: -0.022084 Loss_D_fake 0.002152
[559/5000][310/535][57491] Loss_D: -0.025625 Loss_G: 0.013830 Loss_D_real: -0.014005 Loss_D_fake 0.011620
[559/5000][315/535][57492] Loss_D: -0.025261 Loss_G: 0.030404 Loss_D_real: -0.032935 Loss_D_fake -0.007674
[559/5000][320/535][57493] Loss_D: -0.025016 Loss_G: 0.007426 Loss_D_real: -0.013980 Loss_D_fake 0.011036
[559/5000][325/535][57494] Loss_D: -0.026039 Loss_G: 0.010303 Loss_D_real: -0.014792 Loss_D_fake 0.011247
[559/5000][330/535][57495] Loss_D: -0.024579 Loss_G: 0.015397 Loss_D_real: -0.019453 Loss_D_fake 0.005126
[559/5000][335/535][57496] Loss_D: -0.025698 Loss_G: -0.010017 Loss_D_real: -0.004323 Loss_D_fake 0.021375
[559/5000][340/535][57497] Loss_D: -0.025599 Loss_G: 0.018899 Loss_D_real: -0.022437 Loss_D_fake 0.003163
[559/5000][345/535][57498] Loss_D: -0.025655 Loss_G: 0.011103 Loss_D_real: -0.015725 Loss_D_fake 0.009930
[559/5000][350/535][57499] Loss_D: -0.026746 Loss_G: 0.005527 Loss_D_real: -0.006370 Loss_D_fake 0.020376
[559/5000][355/535][57500] Loss_D: -0.025991 Loss_G: 0.024256 Loss_D_real: -0.032296 Loss_D_fake -0.006305
[559/5000][455/535][57501] Loss_D: -0.026643 Loss_G: -0.024359 Loss_D_real: -0.000893 Loss_D_fake 0.025750
[559/5000][460/535][57502] Loss_D: -0.022987 Loss_G: 0.023510 Loss_D_real: -0.020560 Loss_D_fake 0.002427
[559/5000][465/535][57503] Loss_D: -0.023082 Loss_G: 0.014563 Loss_D_real: -0.010365 Loss_D_fake 0.012717
[559/5000][470/535][57504] Loss_D: -0.023312 Loss_G: 0.007654 Loss_D_real: -0.006269 Loss_D_fake 0.017043
[559/5000][475/535][57505] Loss_D: -0.023474 Loss_G: 0.004443 Loss_D_real: -0.018309 Loss_D_fake 0.005166
[559/5000][480/535][57506] Loss_D: -0.024932 Loss_G: 0.017387 Loss_D_real: -0.020648 Loss_D_fake 0.004284
[559/5000][485/535][57507] Loss_D: -0.025097 Loss_G: 0.002482 Loss_D_real: -0.014223 Loss_D_fake 0.010874
[559/5000][490/535][57508] Loss_D: -0.023814 Loss_G: 0.024083 Loss_D_real: -0.015335 Loss_D_fake 0.008479
[559/5000][495/535][57509] Loss_D: -0.023763 Loss_G: 0.019357 Loss_D_real: -0.031601 Loss_D_fake -0.007837
[559/5000][500/535][57510] Loss_D: -0.026507 Loss_G: 0.009976 Loss_D_real: -0.021576 Loss_D_fake 0.004931
[559/5000][505/535][57511] Loss_D: -0.026020 Loss_G: 0.013989 Loss_D_real: -0.019886 Loss_D_fake 0.006133
[559/5000][510/535][57512] Loss_D: -0.025716 Loss_G: 0.007785 Loss_D_real: -0.018901 Loss_D_fake 0.006814
[559/5000][515/535][57513] Loss_D: -0.026219 Loss_G: 0.011929 Loss_D_real: -0.013024 Loss_D_fake 0.013195
[559/5000][520/535][57514] Loss_D: -0.026084 Loss_G: 0.025682 Loss_D_real: -0.024676 Loss_D_fake 0.001408
[559/5000][525/535][57515] Loss_D: -0.025436 Loss_G: 0.006006 Loss_D_real: -0.006359 Loss_D_fake 0.019076
[559/5000][530/535][57516] Loss_D: -0.024832 Loss_G: 0.011649 Loss_D_real: -0.017545 Loss_D_fake 0.007287
[559/5000][535/535][57517] Loss_D: -0.026112 Loss_G: 0.015269 Loss_D_real: -0.000787 Loss_D_fake 0.025325
[560/5000][5/535][57518] Loss_D: -0.023254 Loss_G: 0.007869 Loss_D_real: -0.009942 Loss_D_fake 0.013313
[560/5000][10/535][57519] Loss_D: -0.024393 Loss_G: -0.005175 Loss_D_real: -0.007879 Loss_D_fake 0.016514
[560/5000][15/535][57520] Loss_D: -0.024649 Loss_G: 0.017997 Loss_D_real: -0.024687 Loss_D_fake -0.000038
[560/5000][20/535][57521] Loss_D: -0.025492 Loss_G: 0.015037 Loss_D_real: -0.021154 Loss_D_fake 0.004339
[560/5000][25/535][57522] Loss_D: -0.024049 Loss_G: 0.018039 Loss_D_real: -0.023987 Loss_D_fake 0.000062
[560/5000][30/535][57523] Loss_D: -0.025940 Loss_G: 0.014303 Loss_D_real: -0.027187 Loss_D_fake -0.001247
[560/5000][35/535][57524] Loss_D: -0.025910 Loss_G: 0.001608 Loss_D_real: -0.008632 Loss_D_fake 0.017278
[560/5000][40/535][57525] Loss_D: -0.023930 Loss_G: 0.020308 Loss_D_real: -0.023560 Loss_D_fake 0.000370
[560/5000][45/535][57526] Loss_D: -0.024763 Loss_G: -0.007407 Loss_D_real: -0.014307 Loss_D_fake 0.010456
[560/5000][50/535][57527] Loss_D: -0.024636 Loss_G: 0.031252 Loss_D_real: -0.028376 Loss_D_fake -0.003740
[560/5000][55/535][57528] Loss_D: -0.025394 Loss_G: -0.009075 Loss_D_real: -0.004908 Loss_D_fake 0.020486
[560/5000][60/535][57529] Loss_D: -0.025507 Loss_G: 0.024827 Loss_D_real: -0.028442 Loss_D_fake -0.002935
[560/5000][65/535][57530] Loss_D: -0.024854 Loss_G: 0.031138 Loss_D_real: -0.027846 Loss_D_fake -0.002993
[560/5000][70/535][57531] Loss_D: -0.025776 Loss_G: 0.001070 Loss_D_real: -0.008507 Loss_D_fake 0.017269
[560/5000][75/535][57532] Loss_D: -0.024884 Loss_G: 0.016691 Loss_D_real: -0.025794 Loss_D_fake -0.000910
[560/5000][80/535][57533] Loss_D: -0.026325 Loss_G: 0.013362 Loss_D_real: -0.018345 Loss_D_fake 0.007980
[560/5000][85/535][57534] Loss_D: -0.027207 Loss_G: 0.009730 Loss_D_real: -0.018355 Loss_D_fake 0.008852
[560/5000][90/535][57535] Loss_D: -0.025572 Loss_G: 0.024614 Loss_D_real: -0.023844 Loss_D_fake 0.001728
[560/5000][95/535][57536] Loss_D: -0.024024 Loss_G: -0.005383 Loss_D_real: -0.000467 Loss_D_fake 0.023557
[560/5000][100/535][57537] Loss_D: -0.024945 Loss_G: 0.038520 Loss_D_real: -0.027402 Loss_D_fake -0.002457
[560/5000][105/535][57538] Loss_D: -0.024410 Loss_G: -0.003192 Loss_D_real: -0.000583 Loss_D_fake 0.023827
[560/5000][110/535][57539] Loss_D: -0.024398 Loss_G: 0.006479 Loss_D_real: -0.023349 Loss_D_fake 0.001049
[560/5000][115/535][57540] Loss_D: -0.024814 Loss_G: 0.006950 Loss_D_real: -0.016895 Loss_D_fake 0.007919
[560/5000][120/535][57541] Loss_D: -0.024390 Loss_G: 0.020215 Loss_D_real: -0.024212 Loss_D_fake 0.000179
[560/5000][125/535][57542] Loss_D: -0.024127 Loss_G: -0.001324 Loss_D_real: -0.008346 Loss_D_fake 0.015781
[560/5000][130/535][57543] Loss_D: -0.025275 Loss_G: 0.027835 Loss_D_real: -0.036239 Loss_D_fake -0.010963
[560/5000][135/535][57544] Loss_D: -0.024770 Loss_G: 0.019915 Loss_D_real: -0.034011 Loss_D_fake -0.009241
[560/5000][140/535][57545] Loss_D: -0.024815 Loss_G: 0.021693 Loss_D_real: -0.027497 Loss_D_fake -0.002683
[560/5000][145/535][57546] Loss_D: -0.026746 Loss_G: -0.001000 Loss_D_real: -0.014655 Loss_D_fake 0.012091
[560/5000][150/535][57547] Loss_D: -0.025280 Loss_G: -0.007471 Loss_D_real: -0.002104 Loss_D_fake 0.023176
[560/5000][155/535][57548] Loss_D: -0.025506 Loss_G: 0.008118 Loss_D_real: -0.010601 Loss_D_fake 0.014905
[560/5000][160/535][57549] Loss_D: -0.026645 Loss_G: 0.015486 Loss_D_real: -0.008663 Loss_D_fake 0.017983
[560/5000][165/535][57550] Loss_D: -0.024967 Loss_G: -0.002311 Loss_D_real: -0.014667 Loss_D_fake 0.010300
[560/5000][170/535][57551] Loss_D: -0.025511 Loss_G: 0.019142 Loss_D_real: -0.015184 Loss_D_fake 0.010327
[560/5000][175/535][57552] Loss_D: -0.025561 Loss_G: 0.006590 Loss_D_real: -0.008920 Loss_D_fake 0.016641
[560/5000][180/535][57553] Loss_D: -0.025928 Loss_G: 0.013128 Loss_D_real: -0.016103 Loss_D_fake 0.009825
[560/5000][185/535][57554] Loss_D: -0.025889 Loss_G: 0.015538 Loss_D_real: -0.017917 Loss_D_fake 0.007972
[560/5000][190/535][57555] Loss_D: -0.026594 Loss_G: 0.033943 Loss_D_real: -0.030196 Loss_D_fake -0.003602
[560/5000][195/535][57556] Loss_D: -0.025212 Loss_G: 0.023104 Loss_D_real: -0.024228 Loss_D_fake 0.000985
[560/5000][200/535][57557] Loss_D: -0.023364 Loss_G: -0.016987 Loss_D_real: 0.016992 Loss_D_fake 0.040356
[560/5000][205/535][57558] Loss_D: -0.024820 Loss_G: 0.009682 Loss_D_real: -0.015309 Loss_D_fake 0.009511
[560/5000][210/535][57559] Loss_D: -0.024443 Loss_G: 0.009973 Loss_D_real: -0.022018 Loss_D_fake 0.002425
[560/5000][215/535][57560] Loss_D: -0.025814 Loss_G: 0.011824 Loss_D_real: -0.010711 Loss_D_fake 0.015103
[560/5000][220/535][57561] Loss_D: -0.025109 Loss_G: 0.015821 Loss_D_real: -0.029240 Loss_D_fake -0.004130
[560/5000][225/535][57562] Loss_D: -0.024500 Loss_G: -0.005684 Loss_D_real: 0.000352 Loss_D_fake 0.024852
[560/5000][230/535][57563] Loss_D: -0.024370 Loss_G: 0.016520 Loss_D_real: -0.029576 Loss_D_fake -0.005207
[560/5000][235/535][57564] Loss_D: -0.024796 Loss_G: -0.004720 Loss_D_real: -0.018094 Loss_D_fake 0.006702
[560/5000][240/535][57565] Loss_D: -0.024761 Loss_G: 0.023223 Loss_D_real: -0.033572 Loss_D_fake -0.008811
[560/5000][245/535][57566] Loss_D: -0.025266 Loss_G: 0.022779 Loss_D_real: -0.018325 Loss_D_fake 0.006941
[560/5000][250/535][57567] Loss_D: -0.025588 Loss_G: 0.024740 Loss_D_real: -0.019820 Loss_D_fake 0.005768
[560/5000][255/535][57568] Loss_D: -0.025853 Loss_G: 0.017749 Loss_D_real: -0.019932 Loss_D_fake 0.005921
[560/5000][260/535][57569] Loss_D: -0.026222 Loss_G: 0.019377 Loss_D_real: -0.009455 Loss_D_fake 0.016767
[560/5000][265/535][57570] Loss_D: -0.026900 Loss_G: 0.005940 Loss_D_real: -0.006519 Loss_D_fake 0.020381
[560/5000][270/535][57571] Loss_D: -0.025293 Loss_G: -0.009698 Loss_D_real: -0.007328 Loss_D_fake 0.017965
[560/5000][275/535][57572] Loss_D: -0.026411 Loss_G: 0.012714 Loss_D_real: -0.008487 Loss_D_fake 0.017924
[560/5000][280/535][57573] Loss_D: -0.027162 Loss_G: 0.011761 Loss_D_real: -0.013715 Loss_D_fake 0.013447
[560/5000][285/535][57574] Loss_D: -0.025319 Loss_G: 0.007709 Loss_D_real: -0.025689 Loss_D_fake -0.000370
[560/5000][290/535][57575] Loss_D: -0.025482 Loss_G: -0.010354 Loss_D_real: -0.004191 Loss_D_fake 0.021291
[560/5000][295/535][57576] Loss_D: -0.023473 Loss_G: 0.014104 Loss_D_real: -0.018453 Loss_D_fake 0.005020
[560/5000][300/535][57577] Loss_D: -0.026270 Loss_G: 0.024761 Loss_D_real: -0.018624 Loss_D_fake 0.007646
[560/5000][305/535][57578] Loss_D: -0.023250 Loss_G: -0.019441 Loss_D_real: 0.005125 Loss_D_fake 0.028374
[560/5000][310/535][57579] Loss_D: -0.025025 Loss_G: 0.014003 Loss_D_real: -0.017581 Loss_D_fake 0.007444
[560/5000][315/535][57580] Loss_D: -0.027951 Loss_G: 0.020224 Loss_D_real: -0.015431 Loss_D_fake 0.012520
[560/5000][320/535][57581] Loss_D: -0.025151 Loss_G: 0.013955 Loss_D_real: -0.014971 Loss_D_fake 0.010180
[560/5000][325/535][57582] Loss_D: -0.026260 Loss_G: 0.000037 Loss_D_real: -0.017939 Loss_D_fake 0.008321
[560/5000][330/535][57583] Loss_D: -0.026553 Loss_G: 0.026785 Loss_D_real: -0.032482 Loss_D_fake -0.005930
[560/5000][335/535][57584] Loss_D: -0.026762 Loss_G: 0.008710 Loss_D_real: -0.014091 Loss_D_fake 0.012672
[560/5000][340/535][57585] Loss_D: -0.025470 Loss_G: -0.009617 Loss_D_real: -0.003722 Loss_D_fake 0.021748
[560/5000][345/535][57586] Loss_D: -0.025775 Loss_G: -0.003838 Loss_D_real: -0.016932 Loss_D_fake 0.008842
[560/5000][350/535][57587] Loss_D: -0.026206 Loss_G: -0.000691 Loss_D_real: -0.009215 Loss_D_fake 0.016991
[560/5000][355/535][57588] Loss_D: -0.025043 Loss_G: 0.022434 Loss_D_real: -0.029687 Loss_D_fake -0.004644
[560/5000][360/535][57589] Loss_D: -0.027996 Loss_G: 0.027213 Loss_D_real: -0.016602 Loss_D_fake 0.011394
[560/5000][365/535][57590] Loss_D: -0.027073 Loss_G: 0.022468 Loss_D_real: -0.017803 Loss_D_fake 0.009270
[560/5000][370/535][57591] Loss_D: -0.025529 Loss_G: 0.027028 Loss_D_real: -0.020668 Loss_D_fake 0.004861
[560/5000][375/535][57592] Loss_D: -0.026552 Loss_G: 0.003813 Loss_D_real: -0.008516 Loss_D_fake 0.018036
[560/5000][380/535][57593] Loss_D: -0.025794 Loss_G: 0.013334 Loss_D_real: -0.021790 Loss_D_fake 0.004004
[560/5000][385/535][57594] Loss_D: -0.026653 Loss_G: 0.017226 Loss_D_real: -0.020818 Loss_D_fake 0.005834
[560/5000][390/535][57595] Loss_D: -0.026848 Loss_G: 0.009749 Loss_D_real: -0.013459 Loss_D_fake 0.013389
[560/5000][395/535][57596] Loss_D: -0.026775 Loss_G: 0.008352 Loss_D_real: -0.006455 Loss_D_fake 0.020320
[560/5000][400/535][57597] Loss_D: -0.024800 Loss_G: 0.030625 Loss_D_real: -0.035395 Loss_D_fake -0.010595
[560/5000][405/535][57598] Loss_D: -0.025075 Loss_G: 0.014826 Loss_D_real: -0.029925 Loss_D_fake -0.004850
[560/5000][410/535][57599] Loss_D: -0.026280 Loss_G: 0.002056 Loss_D_real: -0.012829 Loss_D_fake 0.013450
[560/5000][415/535][57600] Loss_D: -0.025001 Loss_G: -0.005214 Loss_D_real: -0.003392 Loss_D_fake 0.021608
[560/5000][420/535][57601] Loss_D: -0.023860 Loss_G: 0.025462 Loss_D_real: -0.037694 Loss_D_fake -0.013834
[560/5000][425/535][57602] Loss_D: -0.026586 Loss_G: 0.024822 Loss_D_real: -0.022549 Loss_D_fake 0.004037
[560/5000][430/535][57603] Loss_D: -0.025162 Loss_G: -0.013530 Loss_D_real: 0.001915 Loss_D_fake 0.027076
[560/5000][435/535][57604] Loss_D: -0.024787 Loss_G: 0.018849 Loss_D_real: -0.023046 Loss_D_fake 0.001742
[560/5000][440/535][57605] Loss_D: -0.024448 Loss_G: 0.006900 Loss_D_real: -0.013009 Loss_D_fake 0.011439
[560/5000][445/535][57606] Loss_D: -0.025839 Loss_G: 0.012906 Loss_D_real: -0.023992 Loss_D_fake 0.001847
[560/5000][450/535][57607] Loss_D: -0.026156 Loss_G: -0.001662 Loss_D_real: -0.004016 Loss_D_fake 0.022140
[560/5000][455/535][57608] Loss_D: -0.024972 Loss_G: 0.020162 Loss_D_real: -0.023738 Loss_D_fake 0.001234
[560/5000][460/535][57609] Loss_D: -0.025231 Loss_G: 0.021336 Loss_D_real: -0.031197 Loss_D_fake -0.005966
[560/5000][465/535][57610] Loss_D: -0.026560 Loss_G: 0.010514 Loss_D_real: -0.012395 Loss_D_fake 0.014166
[560/5000][470/535][57611] Loss_D: -0.024678 Loss_G: 0.026841 Loss_D_real: -0.039624 Loss_D_fake -0.014946
[560/5000][475/535][57612] Loss_D: -0.023132 Loss_G: 0.039415 Loss_D_real: -0.025950 Loss_D_fake -0.002819
[560/5000][480/535][57613] Loss_D: -0.026473 Loss_G: 0.007218 Loss_D_real: -0.014354 Loss_D_fake 0.012119
[560/5000][485/535][57614] Loss_D: -0.025872 Loss_G: 0.018307 Loss_D_real: -0.019202 Loss_D_fake 0.006670
[560/5000][490/535][57615] Loss_D: -0.025480 Loss_G: 0.019501 Loss_D_real: -0.018862 Loss_D_fake 0.006618
[560/5000][495/535][57616] Loss_D: -0.026703 Loss_G: -0.008391 Loss_D_real: -0.009411 Loss_D_fake 0.017292
[560/5000][500/535][57617] Loss_D: -0.025543 Loss_G: 0.010177 Loss_D_real: -0.020839 Loss_D_fake 0.004704
[560/5000][505/535][57618] Loss_D: -0.023821 Loss_G: 0.031722 Loss_D_real: -0.030258 Loss_D_fake -0.006437
[560/5000][510/535][57619] Loss_D: -0.025885 Loss_G: 0.004149 Loss_D_real: -0.005286 Loss_D_fake 0.020599
[560/5000][515/535][57620] Loss_D: -0.025723 Loss_G: 0.011355 Loss_D_real: -0.010340 Loss_D_fake 0.015383
[560/5000][520/535][57621] Loss_D: -0.025170 Loss_G: 0.016848 Loss_D_real: -0.015850 Loss_D_fake 0.009320
[560/5000][525/535][57622] Loss_D: -0.025874 Loss_G: 0.011443 Loss_D_real: -0.014526 Loss_D_fake 0.011349
[560/5000][530/535][57623] Loss_D: -0.025822 Loss_G: 0.023132 Loss_D_real: -0.015023 Loss_D_fake 0.010799
[560/5000][535/535][57624] Loss_D: -0.026309 Loss_G: 0.027899 Loss_D_real: -0.011292 Loss_D_fake 0.015017
[561/5000][5/535][57625] Loss_D: -0.026134 Loss_G: 0.006660 Loss_D_real: -0.015617 Loss_D_fake 0.010517
[561/5000][10/535][57626] Loss_D: -0.023430 Loss_G: 0.028087 Loss_D_real: -0.024304 Loss_D_fake -0.000874
[561/5000][15/535][57627] Loss_D: -0.025277 Loss_G: 0.012409 Loss_D_real: -0.014539 Loss_D_fake 0.010738
[561/5000][20/535][57628] Loss_D: -0.024952 Loss_G: -0.001115 Loss_D_real: -0.013249 Loss_D_fake 0.011703
[561/5000][25/535][57629] Loss_D: -0.025548 Loss_G: 0.022161 Loss_D_real: -0.027895 Loss_D_fake -0.002346
[561/5000][30/535][57630] Loss_D: -0.025030 Loss_G: 0.021308 Loss_D_real: -0.035208 Loss_D_fake -0.010178
[561/5000][35/535][57631] Loss_D: -0.026845 Loss_G: 0.019007 Loss_D_real: -0.022316 Loss_D_fake 0.004529
[561/5000][40/535][57632] Loss_D: -0.025689 Loss_G: 0.012617 Loss_D_real: -0.027029 Loss_D_fake -0.001340
[561/5000][45/535][57633] Loss_D: -0.026014 Loss_G: 0.013154 Loss_D_real: -0.017852 Loss_D_fake 0.008162
[561/5000][50/535][57634] Loss_D: -0.025039 Loss_G: -0.005133 Loss_D_real: 0.005817 Loss_D_fake 0.030856
[561/5000][55/535][57635] Loss_D: -0.025724 Loss_G: 0.014396 Loss_D_real: -0.013039 Loss_D_fake 0.012685
[561/5000][60/535][57636] Loss_D: -0.026193 Loss_G: -0.006782 Loss_D_real: -0.000981 Loss_D_fake 0.025212
[561/5000][65/535][57637] Loss_D: -0.026946 Loss_G: 0.013693 Loss_D_real: -0.015307 Loss_D_fake 0.011639
[561/5000][70/535][57638] Loss_D: -0.025567 Loss_G: 0.010483 Loss_D_real: -0.008772 Loss_D_fake 0.016795
[561/5000][75/535][57639] Loss_D: -0.025471 Loss_G: 0.007477 Loss_D_real: -0.011036 Loss_D_fake 0.014435
[561/5000][80/535][57640] Loss_D: -0.023505 Loss_G: 0.037461 Loss_D_real: -0.028877 Loss_D_fake -0.005372
[561/5000][85/535][57641] Loss_D: -0.025438 Loss_G: 0.029514 Loss_D_real: -0.023227 Loss_D_fake 0.002210
[561/5000][90/535][57642] Loss_D: -0.025751 Loss_G: -0.000088 Loss_D_real: -0.010245 Loss_D_fake 0.015506
[561/5000][95/535][57643] Loss_D: -0.024227 Loss_G: 0.026530 Loss_D_real: -0.020043 Loss_D_fake 0.004184
[561/5000][100/535][57644] Loss_D: -0.025680 Loss_G: 0.017814 Loss_D_real: -0.011280 Loss_D_fake 0.014401
[561/5000][105/535][57645] Loss_D: -0.025521 Loss_G: 0.014228 Loss_D_real: -0.019446 Loss_D_fake 0.006076
[561/5000][110/535][57646] Loss_D: -0.024870 Loss_G: 0.014734 Loss_D_real: -0.019130 Loss_D_fake 0.005741
[561/5000][115/535][57647] Loss_D: -0.024944 Loss_G: 0.001416 Loss_D_real: -0.010287 Loss_D_fake 0.014657
[561/5000][120/535][57648] Loss_D: -0.025628 Loss_G: 0.021613 Loss_D_real: -0.033646 Loss_D_fake -0.008018
[561/5000][125/535][57649] Loss_D: -0.025634 Loss_G: -0.007477 Loss_D_real: -0.022076 Loss_D_fake 0.003559
[561/5000][130/535][57650] Loss_D: -0.024220 Loss_G: 0.004747 Loss_D_real: -0.004206 Loss_D_fake 0.020014
[561/5000][135/535][57651] Loss_D: -0.024889 Loss_G: -0.020806 Loss_D_real: -0.005867 Loss_D_fake 0.019022
[561/5000][140/535][57652] Loss_D: -0.024352 Loss_G: -0.006224 Loss_D_real: -0.005704 Loss_D_fake 0.018648
[561/5000][145/535][57653] Loss_D: -0.024156 Loss_G: 0.031560 Loss_D_real: -0.038514 Loss_D_fake -0.014357
[561/5000][150/535][57654] Loss_D: -0.025097 Loss_G: 0.032615 Loss_D_real: -0.035220 Loss_D_fake -0.010123
[561/5000][155/535][57655] Loss_D: -0.026963 Loss_G: 0.011844 Loss_D_real: -0.019401 Loss_D_fake 0.007562
[561/5000][160/535][57656] Loss_D: -0.025974 Loss_G: 0.011624 Loss_D_real: -0.019456 Loss_D_fake 0.006518
[561/5000][165/535][57657] Loss_D: -0.024273 Loss_G: 0.032252 Loss_D_real: -0.032953 Loss_D_fake -0.008680
[561/5000][170/535][57658] Loss_D: -0.026811 Loss_G: 0.004701 Loss_D_real: -0.010616 Loss_D_fake 0.016196
[561/5000][175/535][57659] Loss_D: -0.025932 Loss_G: 0.014005 Loss_D_real: -0.014314 Loss_D_fake 0.011618
[561/5000][180/535][57660] Loss_D: -0.024965 Loss_G: -0.006833 Loss_D_real: -0.003275 Loss_D_fake 0.021691
[561/5000][185/535][57661] Loss_D: -0.026172 Loss_G: 0.008183 Loss_D_real: -0.016893 Loss_D_fake 0.009279
[561/5000][190/535][57662] Loss_D: -0.025554 Loss_G: 0.006643 Loss_D_real: -0.000626 Loss_D_fake 0.024928
[561/5000][195/535][57663] Loss_D: -0.027299 Loss_G: 0.010904 Loss_D_real: -0.006157 Loss_D_fake 0.021142
[561/5000][200/535][57664] Loss_D: -0.025844 Loss_G: 0.003334 Loss_D_real: -0.015852 Loss_D_fake 0.009992
[561/5000][205/535][57665] Loss_D: -0.023976 Loss_G: 0.032719 Loss_D_real: -0.033836 Loss_D_fake -0.009860
[561/5000][210/535][57666] Loss_D: -0.025781 Loss_G: -0.002750 Loss_D_real: -0.007157 Loss_D_fake 0.018625
[561/5000][215/535][57667] Loss_D: -0.024889 Loss_G: 0.016618 Loss_D_real: -0.024145 Loss_D_fake 0.000744
[561/5000][220/535][57668] Loss_D: -0.027839 Loss_G: 0.021188 Loss_D_real: -0.020079 Loss_D_fake 0.007759
[561/5000][225/535][57669] Loss_D: -0.025761 Loss_G: 0.009661 Loss_D_real: -0.010798 Loss_D_fake 0.014964
[561/5000][230/535][57670] Loss_D: -0.026221 Loss_G: 0.023293 Loss_D_real: -0.032616 Loss_D_fake -0.006395
[561/5000][235/535][57671] Loss_D: -0.026325 Loss_G: 0.006493 Loss_D_real: -0.018466 Loss_D_fake 0.007859
[561/5000][240/535][57672] Loss_D: -0.025368 Loss_G: 0.016347 Loss_D_real: -0.023063 Loss_D_fake 0.002305
[561/5000][245/535][57673] Loss_D: -0.026738 Loss_G: 0.021301 Loss_D_real: -0.021797 Loss_D_fake 0.004940
[561/5000][250/535][57674] Loss_D: -0.026301 Loss_G: 0.034859 Loss_D_real: -0.022056 Loss_D_fake 0.004245
[561/5000][255/535][57675] Loss_D: -0.024934 Loss_G: 0.013495 Loss_D_real: -0.014727 Loss_D_fake 0.010207
[561/5000][260/535][57676] Loss_D: -0.025078 Loss_G: -0.000122 Loss_D_real: -0.006062 Loss_D_fake 0.019016
[561/5000][265/535][57677] Loss_D: -0.025372 Loss_G: 0.010518 Loss_D_real: -0.023558 Loss_D_fake 0.001815
[561/5000][270/535][57678] Loss_D: -0.025234 Loss_G: 0.006651 Loss_D_real: -0.015138 Loss_D_fake 0.010097
[561/5000][275/535][57679] Loss_D: -0.025486 Loss_G: 0.007648 Loss_D_real: -0.008134 Loss_D_fake 0.017352
[561/5000][280/535][57680] Loss_D: -0.025671 Loss_G: 0.015416 Loss_D_real: -0.021015 Loss_D_fake 0.004656
[561/5000][285/535][57681] Loss_D: -0.024799 Loss_G: 0.008330 Loss_D_real: -0.014107 Loss_D_fake 0.010692
[561/5000][290/535][57682] Loss_D: -0.023926 Loss_G: 0.025039 Loss_D_real: -0.030907 Loss_D_fake -0.006981
[561/5000][295/535][57683] Loss_D: -0.024948 Loss_G: 0.032145 Loss_D_real: -0.019515 Loss_D_fake 0.005433
[561/5000][300/535][57684] Loss_D: -0.025238 Loss_G: -0.014839 Loss_D_real: 0.006790 Loss_D_fake 0.032029
[561/5000][305/535][57685] Loss_D: -0.023295 Loss_G: 0.021944 Loss_D_real: -0.031923 Loss_D_fake -0.008628
[561/5000][310/535][57686] Loss_D: -0.024987 Loss_G: 0.010177 Loss_D_real: -0.012748 Loss_D_fake 0.012239
[561/5000][315/535][57687] Loss_D: -0.024976 Loss_G: -0.003060 Loss_D_real: -0.003693 Loss_D_fake 0.021283
[561/5000][320/535][57688] Loss_D: -0.024981 Loss_G: 0.025403 Loss_D_real: -0.031801 Loss_D_fake -0.006819
[561/5000][325/535][57689] Loss_D: -0.025317 Loss_G: -0.003668 Loss_D_real: 0.000276 Loss_D_fake 0.025594
[561/5000][330/535][57690] Loss_D: -0.023938 Loss_G: 0.019619 Loss_D_real: -0.020093 Loss_D_fake 0.003845
[561/5000][335/535][57691] Loss_D: -0.025605 Loss_G: 0.008531 Loss_D_real: -0.014575 Loss_D_fake 0.011030
[561/5000][340/535][57692] Loss_D: -0.025374 Loss_G: 0.028754 Loss_D_real: -0.028689 Loss_D_fake -0.003315
[561/5000][345/535][57693] Loss_D: -0.025742 Loss_G: 0.017227 Loss_D_real: -0.013040 Loss_D_fake 0.012702
[561/5000][350/535][57694] Loss_D: -0.025067 Loss_G: -0.012909 Loss_D_real: -0.002275 Loss_D_fake 0.022792
[561/5000][355/535][57695] Loss_D: -0.025572 Loss_G: 0.015215 Loss_D_real: -0.027651 Loss_D_fake -0.002079
[561/5000][360/535][57696] Loss_D: -0.026420 Loss_G: 0.014179 Loss_D_real: -0.019556 Loss_D_fake 0.006864
[561/5000][365/535][57697] Loss_D: -0.024784 Loss_G: 0.027759 Loss_D_real: -0.036666 Loss_D_fake -0.011882
[561/5000][370/535][57698] Loss_D: -0.025909 Loss_G: 0.003194 Loss_D_real: -0.009189 Loss_D_fake 0.016721
[561/5000][375/535][57699] Loss_D: -0.025135 Loss_G: 0.015461 Loss_D_real: -0.021749 Loss_D_fake 0.003385
[561/5000][380/535][57700] Loss_D: -0.026420 Loss_G: -0.001298 Loss_D_real: -0.004867 Loss_D_fake 0.021553
[561/5000][385/535][57701] Loss_D: -0.025590 Loss_G: 0.017231 Loss_D_real: -0.021268 Loss_D_fake 0.004321
[561/5000][390/535][57702] Loss_D: -0.026055 Loss_G: 0.016737 Loss_D_real: -0.019997 Loss_D_fake 0.006059
[561/5000][395/535][57703] Loss_D: -0.025995 Loss_G: 0.011553 Loss_D_real: -0.017165 Loss_D_fake 0.008831
[561/5000][400/535][57704] Loss_D: -0.024602 Loss_G: 0.002167 Loss_D_real: -0.011828 Loss_D_fake 0.012774
[561/5000][405/535][57705] Loss_D: -0.025317 Loss_G: 0.018537 Loss_D_real: -0.023402 Loss_D_fake 0.001915
[561/5000][410/535][57706] Loss_D: -0.024179 Loss_G: 0.010440 Loss_D_real: -0.022404 Loss_D_fake 0.001775
[561/5000][415/535][57707] Loss_D: -0.026362 Loss_G: 0.011945 Loss_D_real: -0.003028 Loss_D_fake 0.023333
[561/5000][420/535][57708] Loss_D: -0.026206 Loss_G: 0.014679 Loss_D_real: -0.022358 Loss_D_fake 0.003849
[561/5000][425/535][57709] Loss_D: -0.026588 Loss_G: 0.010824 Loss_D_real: -0.022850 Loss_D_fake 0.003738
[561/5000][430/535][57710] Loss_D: -0.025068 Loss_G: 0.009560 Loss_D_real: -0.014593 Loss_D_fake 0.010475
[561/5000][435/535][57711] Loss_D: -0.025164 Loss_G: 0.008822 Loss_D_real: -0.018864 Loss_D_fake 0.006300
[561/5000][440/535][57712] Loss_D: -0.025108 Loss_G: 0.032724 Loss_D_real: -0.027563 Loss_D_fake -0.002455
[561/5000][445/535][57713] Loss_D: -0.024818 Loss_G: 0.013533 Loss_D_real: -0.009311 Loss_D_fake 0.015507
[561/5000][450/535][57714] Loss_D: -0.024784 Loss_G: 0.031344 Loss_D_real: -0.030997 Loss_D_fake -0.006213
[561/5000][455/535][57715] Loss_D: -0.025361 Loss_G: 0.010167 Loss_D_real: -0.017230 Loss_D_fake 0.008131
[561/5000][460/535][57716] Loss_D: -0.024586 Loss_G: 0.013375 Loss_D_real: -0.024735 Loss_D_fake -0.000149
[561/5000][465/535][57717] Loss_D: -0.025929 Loss_G: 0.011904 Loss_D_real: -0.018553 Loss_D_fake 0.007377
[561/5000][470/535][57718] Loss_D: -0.025749 Loss_G: 0.014737 Loss_D_real: -0.012762 Loss_D_fake 0.012987
[561/5000][475/535][57719] Loss_D: -0.026380 Loss_G: 0.005421 Loss_D_real: -0.011497 Loss_D_fake 0.014883
[561/5000][480/535][57720] Loss_D: -0.024175 Loss_G: 0.001431 Loss_D_real: -0.006999 Loss_D_fake 0.017176
[561/5000][485/535][57721] Loss_D: -0.024445 Loss_G: 0.005020 Loss_D_real: -0.017326 Loss_D_fake 0.007119
[561/5000][490/535][57722] Loss_D: -0.027679 Loss_G: 0.007178 Loss_D_real: -0.012519 Loss_D_fake 0.015160
[561/5000][495/535][57723] Loss_D: -0.026241 Loss_G: 0.011093 Loss_D_real: -0.015288 Loss_D_fake 0.010953
[561/5000][500/535][57724] Loss_D: -0.027468 Loss_G: 0.005865 Loss_D_real: -0.002612 Loss_D_fake 0.024856
[561/5000][505/535][57725] Loss_D: -0.026431 Loss_G: 0.003906 Loss_D_real: -0.011557 Loss_D_fake 0.014874
[561/5000][510/535][57726] Loss_D: -0.027289 Loss_G: -0.013620 Loss_D_real: 0.001858 Loss_D_fake 0.029147
[561/5000][515/535][57727] Loss_D: -0.025793 Loss_G: 0.005440 Loss_D_real: -0.003015 Loss_D_fake 0.022778
[561/5000][520/535][57728] Loss_D: -0.026091 Loss_G: 0.018157 Loss_D_real: -0.015419 Loss_D_fake 0.010673
[561/5000][525/535][57729] Loss_D: -0.026283 Loss_G: 0.010952 Loss_D_real: -0.010361 Loss_D_fake 0.015922
[561/5000][530/535][57730] Loss_D: -0.027638 Loss_G: 0.008328 Loss_D_real: -0.004031 Loss_D_fake 0.023607
[561/5000][535/535][57731] Loss_D: -0.028468 Loss_G: 0.015141 Loss_D_real: -0.002609 Loss_D_fake 0.025859
[562/5000][5/535][57732] Loss_D: -0.026639 Loss_G: 0.005754 Loss_D_real: -0.023355 Loss_D_fake 0.003284
[562/5000][10/535][57733] Loss_D: -0.027155 Loss_G: 0.008560 Loss_D_real: -0.016150 Loss_D_fake 0.011005
[562/5000][15/535][57734] Loss_D: -0.024939 Loss_G: 0.013739 Loss_D_real: -0.020948 Loss_D_fake 0.003991
[562/5000][20/535][57735] Loss_D: -0.025769 Loss_G: 0.023425 Loss_D_real: -0.030546 Loss_D_fake -0.004778
[562/5000][25/535][57736] Loss_D: -0.026617 Loss_G: 0.011464 Loss_D_real: -0.017340 Loss_D_fake 0.009277
[562/5000][30/535][57737] Loss_D: -0.025763 Loss_G: -0.001762 Loss_D_real: -0.000374 Loss_D_fake 0.025389
[562/5000][35/535][57738] Loss_D: -0.025031 Loss_G: 0.023603 Loss_D_real: -0.020920 Loss_D_fake 0.004112
[562/5000][40/535][57739] Loss_D: -0.025906 Loss_G: 0.011154 Loss_D_real: -0.004641 Loss_D_fake 0.021265
[562/5000][45/535][57740] Loss_D: -0.024716 Loss_G: 0.012542 Loss_D_real: -0.020614 Loss_D_fake 0.004103
[562/5000][50/535][57741] Loss_D: -0.025116 Loss_G: 0.020549 Loss_D_real: -0.023978 Loss_D_fake 0.001137
[562/5000][55/535][57742] Loss_D: -0.025349 Loss_G: 0.024482 Loss_D_real: -0.031923 Loss_D_fake -0.006574
[562/5000][60/535][57743] Loss_D: -0.025114 Loss_G: -0.017989 Loss_D_real: -0.007703 Loss_D_fake 0.017411
[562/5000][65/535][57744] Loss_D: -0.025704 Loss_G: 0.003634 Loss_D_real: -0.005668 Loss_D_fake 0.020036
[562/5000][70/535][57745] Loss_D: -0.026507 Loss_G: 0.013854 Loss_D_real: -0.020171 Loss_D_fake 0.006336
[562/5000][75/535][57746] Loss_D: -0.025857 Loss_G: 0.020172 Loss_D_real: -0.018471 Loss_D_fake 0.007386
[562/5000][80/535][57747] Loss_D: -0.024416 Loss_G: 0.026779 Loss_D_real: -0.028216 Loss_D_fake -0.003800
[562/5000][85/535][57748] Loss_D: -0.024427 Loss_G: 0.013109 Loss_D_real: -0.015666 Loss_D_fake 0.008762
[562/5000][90/535][57749] Loss_D: -0.024759 Loss_G: 0.023242 Loss_D_real: -0.015964 Loss_D_fake 0.008795
[562/5000][95/535][57750] Loss_D: -0.025286 Loss_G: -0.003489 Loss_D_real: 0.000853 Loss_D_fake 0.026139
[562/5000][100/535][57751] Loss_D: -0.025045 Loss_G: 0.016955 Loss_D_real: -0.018425 Loss_D_fake 0.006621
[562/5000][105/535][57752] Loss_D: -0.026301 Loss_G: 0.012681 Loss_D_real: -0.017038 Loss_D_fake 0.009263
[562/5000][110/535][57753] Loss_D: -0.026435 Loss_G: -0.007644 Loss_D_real: -0.009190 Loss_D_fake 0.017245
[562/5000][115/535][57754] Loss_D: -0.025721 Loss_G: 0.002051 Loss_D_real: -0.002463 Loss_D_fake 0.023258
[562/5000][120/535][57755] Loss_D: -0.025404 Loss_G: -0.003764 Loss_D_real: -0.016021 Loss_D_fake 0.009383
[562/5000][125/535][57756] Loss_D: -0.025136 Loss_G: 0.023064 Loss_D_real: -0.026217 Loss_D_fake -0.001081
[562/5000][130/535][57757] Loss_D: -0.026197 Loss_G: 0.026515 Loss_D_real: -0.026745 Loss_D_fake -0.000548
[562/5000][135/535][57758] Loss_D: -0.025269 Loss_G: 0.024833 Loss_D_real: -0.030532 Loss_D_fake -0.005263
[562/5000][140/535][57759] Loss_D: -0.025673 Loss_G: 0.001551 Loss_D_real: -0.001171 Loss_D_fake 0.024502
[562/5000][145/535][57760] Loss_D: -0.024599 Loss_G: -0.003678 Loss_D_real: -0.005386 Loss_D_fake 0.019213
[562/5000][150/535][57761] Loss_D: -0.024953 Loss_G: 0.026385 Loss_D_real: -0.026859 Loss_D_fake -0.001906
[562/5000][155/535][57762] Loss_D: -0.025831 Loss_G: 0.008260 Loss_D_real: -0.013991 Loss_D_fake 0.011841
[562/5000][160/535][57763] Loss_D: -0.025004 Loss_G: 0.022973 Loss_D_real: -0.024990 Loss_D_fake 0.000014
[562/5000][165/535][57764] Loss_D: -0.026235 Loss_G: 0.010146 Loss_D_real: -0.008129 Loss_D_fake 0.018106
[562/5000][170/535][57765] Loss_D: -0.025014 Loss_G: -0.000477 Loss_D_real: -0.004466 Loss_D_fake 0.020548
[562/5000][175/535][57766] Loss_D: -0.026657 Loss_G: 0.016315 Loss_D_real: -0.018750 Loss_D_fake 0.007907
[562/5000][180/535][57767] Loss_D: -0.024712 Loss_G: 0.017223 Loss_D_real: -0.011456 Loss_D_fake 0.013256
[562/5000][185/535][57768] Loss_D: -0.025596 Loss_G: -0.006136 Loss_D_real: -0.005779 Loss_D_fake 0.019817
[562/5000][190/535][57769] Loss_D: -0.026089 Loss_G: 0.015993 Loss_D_real: -0.012503 Loss_D_fake 0.013586
[562/5000][195/535][57770] Loss_D: -0.024406 Loss_G: -0.013217 Loss_D_real: 0.002736 Loss_D_fake 0.027142
[562/5000][200/535][57771] Loss_D: -0.025114 Loss_G: 0.007422 Loss_D_real: -0.013231 Loss_D_fake 0.011883
[562/5000][205/535][57772] Loss_D: -0.025810 Loss_G: 0.010492 Loss_D_real: -0.018550 Loss_D_fake 0.007260
[562/5000][210/535][57773] Loss_D: -0.026418 Loss_G: 0.021004 Loss_D_real: -0.024662 Loss_D_fake 0.001756
[562/5000][215/535][57774] Loss_D: -0.025624 Loss_G: 0.030367 Loss_D_real: -0.031464 Loss_D_fake -0.005840
[562/5000][220/535][57775] Loss_D: -0.025106 Loss_G: -0.020937 Loss_D_real: 0.001168 Loss_D_fake 0.026274
[562/5000][225/535][57776] Loss_D: -0.024575 Loss_G: 0.003001 Loss_D_real: 0.001899 Loss_D_fake 0.026474
[562/5000][230/535][57777] Loss_D: -0.023786 Loss_G: 0.014527 Loss_D_real: -0.026652 Loss_D_fake -0.002866
[562/5000][235/535][57778] Loss_D: -0.023589 Loss_G: -0.002601 Loss_D_real: -0.000854 Loss_D_fake 0.022735
[562/5000][240/535][57779] Loss_D: -0.025211 Loss_G: 0.031142 Loss_D_real: -0.026187 Loss_D_fake -0.000976
[562/5000][245/535][57780] Loss_D: -0.025158 Loss_G: 0.003786 Loss_D_real: -0.017718 Loss_D_fake 0.007440
[562/5000][250/535][57781] Loss_D: -0.024907 Loss_G: 0.004882 Loss_D_real: 0.001383 Loss_D_fake 0.026291
[562/5000][255/535][57782] Loss_D: -0.025390 Loss_G: 0.022095 Loss_D_real: -0.016526 Loss_D_fake 0.008865
[562/5000][260/535][57783] Loss_D: -0.026888 Loss_G: -0.005004 Loss_D_real: -0.000753 Loss_D_fake 0.026135
[562/5000][265/535][57784] Loss_D: -0.025209 Loss_G: -0.009473 Loss_D_real: -0.000772 Loss_D_fake 0.024436
[562/5000][270/535][57785] Loss_D: -0.025488 Loss_G: 0.011463 Loss_D_real: -0.013517 Loss_D_fake 0.011972
[562/5000][275/535][57786] Loss_D: -0.024339 Loss_G: 0.032649 Loss_D_real: -0.031498 Loss_D_fake -0.007159
[562/5000][280/535][57787] Loss_D: -0.026629 Loss_G: 0.020991 Loss_D_real: -0.024193 Loss_D_fake 0.002436
[562/5000][285/535][57788] Loss_D: -0.026506 Loss_G: 0.028361 Loss_D_real: -0.020959 Loss_D_fake 0.005546
[562/5000][290/535][57789] Loss_D: -0.025821 Loss_G: 0.023028 Loss_D_real: -0.024506 Loss_D_fake 0.001315
[562/5000][295/535][57790] Loss_D: -0.027433 Loss_G: 0.003880 Loss_D_real: -0.020055 Loss_D_fake 0.007378
[562/5000][300/535][57791] Loss_D: -0.026486 Loss_G: 0.007517 Loss_D_real: -0.011589 Loss_D_fake 0.014897
[562/5000][305/535][57792] Loss_D: -0.026623 Loss_G: -0.002277 Loss_D_real: -0.010929 Loss_D_fake 0.015694
[562/5000][310/535][57793] Loss_D: -0.023720 Loss_G: 0.025045 Loss_D_real: -0.033139 Loss_D_fake -0.009419
[562/5000][315/535][57794] Loss_D: -0.024375 Loss_G: 0.028531 Loss_D_real: -0.032238 Loss_D_fake -0.007863
[562/5000][320/535][57795] Loss_D: -0.025327 Loss_G: 0.030315 Loss_D_real: -0.027499 Loss_D_fake -0.002172
[562/5000][325/535][57796] Loss_D: -0.025017 Loss_G: 0.005256 Loss_D_real: -0.011207 Loss_D_fake 0.013810
[562/5000][330/535][57797] Loss_D: -0.025578 Loss_G: 0.011363 Loss_D_real: -0.014772 Loss_D_fake 0.010807
[562/5000][335/535][57798] Loss_D: -0.024748 Loss_G: 0.026053 Loss_D_real: -0.033095 Loss_D_fake -0.008347
[562/5000][340/535][57799] Loss_D: -0.027000 Loss_G: 0.003264 Loss_D_real: -0.001304 Loss_D_fake 0.025696
[562/5000][345/535][57800] Loss_D: -0.024394 Loss_G: 0.026974 Loss_D_real: -0.029488 Loss_D_fake -0.005094
[562/5000][350/535][57801] Loss_D: -0.025637 Loss_G: -0.012996 Loss_D_real: -0.002640 Loss_D_fake 0.022997
[562/5000][355/535][57802] Loss_D: -0.026347 Loss_G: 0.028921 Loss_D_real: -0.020714 Loss_D_fake 0.005633
[562/5000][360/535][57803] Loss_D: -0.025005 Loss_G: 0.010480 Loss_D_real: -0.017084 Loss_D_fake 0.007922
[562/5000][365/535][57804] Loss_D: -0.025095 Loss_G: 0.006267 Loss_D_real: -0.013274 Loss_D_fake 0.011821
[562/5000][370/535][57805] Loss_D: -0.024830 Loss_G: -0.001375 Loss_D_real: 0.003228 Loss_D_fake 0.028058
[562/5000][375/535][57806] Loss_D: -0.026229 Loss_G: 0.006749 Loss_D_real: -0.013902 Loss_D_fake 0.012327
[562/5000][380/535][57807] Loss_D: -0.025737 Loss_G: 0.026840 Loss_D_real: -0.027243 Loss_D_fake -0.001507
[562/5000][385/535][57808] Loss_D: -0.025631 Loss_G: -0.000384 Loss_D_real: -0.001754 Loss_D_fake 0.023877
[562/5000][390/535][57809] Loss_D: -0.025324 Loss_G: 0.029133 Loss_D_real: -0.030767 Loss_D_fake -0.005443
[562/5000][395/535][57810] Loss_D: -0.026155 Loss_G: -0.003085 Loss_D_real: -0.004366 Loss_D_fake 0.021789
[562/5000][400/535][57811] Loss_D: -0.024740 Loss_G: 0.029213 Loss_D_real: -0.018203 Loss_D_fake 0.006538
[562/5000][405/535][57812] Loss_D: -0.026567 Loss_G: 0.014266 Loss_D_real: -0.021073 Loss_D_fake 0.005494
[562/5000][410/535][57813] Loss_D: -0.026258 Loss_G: 0.010977 Loss_D_real: -0.016733 Loss_D_fake 0.009525
[562/5000][415/535][57814] Loss_D: -0.026592 Loss_G: 0.011783 Loss_D_real: -0.030991 Loss_D_fake -0.004399
[562/5000][420/535][57815] Loss_D: -0.026759 Loss_G: 0.019411 Loss_D_real: -0.024056 Loss_D_fake 0.002703
[562/5000][425/535][57816] Loss_D: -0.026653 Loss_G: 0.016259 Loss_D_real: -0.025545 Loss_D_fake 0.001108
[562/5000][430/535][57817] Loss_D: -0.024697 Loss_G: 0.002165 Loss_D_real: 0.002472 Loss_D_fake 0.027169
[562/5000][435/535][57818] Loss_D: -0.026077 Loss_G: 0.020887 Loss_D_real: -0.017369 Loss_D_fake 0.008708
[562/5000][440/535][57819] Loss_D: -0.026460 Loss_G: 0.011008 Loss_D_real: -0.019170 Loss_D_fake 0.007290
[562/5000][445/535][57820] Loss_D: -0.026024 Loss_G: 0.010512 Loss_D_real: -0.009975 Loss_D_fake 0.016049
[562/5000][450/535][57821] Loss_D: -0.024861 Loss_G: 0.017555 Loss_D_real: -0.022558 Loss_D_fake 0.002303
[562/5000][455/535][57822] Loss_D: -0.025940 Loss_G: -0.011793 Loss_D_real: -0.002121 Loss_D_fake 0.023819
[562/5000][460/535][57823] Loss_D: -0.024608 Loss_G: 0.021334 Loss_D_real: -0.021789 Loss_D_fake 0.002819
[562/5000][465/535][57824] Loss_D: -0.026439 Loss_G: 0.020842 Loss_D_real: -0.021982 Loss_D_fake 0.004458
[562/5000][470/535][57825] Loss_D: -0.025095 Loss_G: 0.009127 Loss_D_real: -0.032978 Loss_D_fake -0.007883
[562/5000][475/535][57826] Loss_D: -0.026622 Loss_G: 0.012312 Loss_D_real: -0.018524 Loss_D_fake 0.008098
[562/5000][480/535][57827] Loss_D: -0.026227 Loss_G: 0.001898 Loss_D_real: -0.004001 Loss_D_fake 0.022226
[562/5000][485/535][57828] Loss_D: -0.025042 Loss_G: -0.014143 Loss_D_real: -0.002891 Loss_D_fake 0.022152
[562/5000][490/535][57829] Loss_D: -0.024695 Loss_G: 0.015945 Loss_D_real: -0.012897 Loss_D_fake 0.011798
[562/5000][495/535][57830] Loss_D: -0.025867 Loss_G: 0.011631 Loss_D_real: -0.019027 Loss_D_fake 0.006840
[562/5000][500/535][57831] Loss_D: -0.026506 Loss_G: 0.024136 Loss_D_real: -0.024639 Loss_D_fake 0.001868
[562/5000][505/535][57832] Loss_D: -0.024941 Loss_G: 0.011680 Loss_D_real: -0.005774 Loss_D_fake 0.019166
[562/5000][510/535][57833] Loss_D: -0.025192 Loss_G: 0.019221 Loss_D_real: -0.019892 Loss_D_fake 0.005299
[562/5000][515/535][57834] Loss_D: -0.025046 Loss_G: 0.028228 Loss_D_real: -0.026597 Loss_D_fake -0.001550
[562/5000][520/535][57835] Loss_D: -0.026714 Loss_G: -0.006340 Loss_D_real: -0.006070 Loss_D_fake 0.020644
[562/5000][525/535][57836] Loss_D: -0.025685 Loss_G: 0.004116 Loss_D_real: -0.006356 Loss_D_fake 0.019330
[562/5000][530/535][57837] Loss_D: -0.024205 Loss_G: -0.004725 Loss_D_real: 0.001836 Loss_D_fake 0.026041
[562/5000][535/535][57838] Loss_D: -0.025023 Loss_G: 0.044117 Loss_D_real: -0.027768 Loss_D_fake -0.002744
[563/5000][5/535][57839] Loss_D: -0.024712 Loss_G: 0.015020 Loss_D_real: -0.021220 Loss_D_fake 0.003492
[563/5000][10/535][57840] Loss_D: -0.026211 Loss_G: 0.015189 Loss_D_real: -0.018818 Loss_D_fake 0.007393
[563/5000][15/535][57841] Loss_D: -0.025159 Loss_G: -0.005680 Loss_D_real: -0.004859 Loss_D_fake 0.020300
[563/5000][20/535][57842] Loss_D: -0.024787 Loss_G: -0.003192 Loss_D_real: -0.004394 Loss_D_fake 0.020393
[563/5000][25/535][57843] Loss_D: -0.023826 Loss_G: 0.025720 Loss_D_real: -0.014511 Loss_D_fake 0.009315
[563/5000][30/535][57844] Loss_D: -0.026375 Loss_G: 0.013803 Loss_D_real: -0.014210 Loss_D_fake 0.012165
[563/5000][35/535][57845] Loss_D: -0.025366 Loss_G: 0.021195 Loss_D_real: -0.034861 Loss_D_fake -0.009495
[563/5000][40/535][57846] Loss_D: -0.025826 Loss_G: -0.001254 Loss_D_real: -0.006183 Loss_D_fake 0.019643
[563/5000][45/535][57847] Loss_D: -0.026971 Loss_G: 0.016746 Loss_D_real: -0.010161 Loss_D_fake 0.016811
[563/5000][50/535][57848] Loss_D: -0.025074 Loss_G: -0.010743 Loss_D_real: 0.012130 Loss_D_fake 0.037204
[563/5000][55/535][57849] Loss_D: -0.025510 Loss_G: 0.011091 Loss_D_real: -0.017542 Loss_D_fake 0.007968
[563/5000][60/535][57850] Loss_D: -0.024216 Loss_G: 0.003896 Loss_D_real: -0.010463 Loss_D_fake 0.013753
[563/5000][65/535][57851] Loss_D: -0.025192 Loss_G: 0.007543 Loss_D_real: -0.003296 Loss_D_fake 0.021895
[563/5000][70/535][57852] Loss_D: -0.025690 Loss_G: 0.026064 Loss_D_real: -0.025871 Loss_D_fake -0.000182
[563/5000][75/535][57853] Loss_D: -0.025647 Loss_G: 0.027836 Loss_D_real: -0.034718 Loss_D_fake -0.009071
[563/5000][80/535][57854] Loss_D: -0.026793 Loss_G: 0.004737 Loss_D_real: -0.017637 Loss_D_fake 0.009155
[563/5000][85/535][57855] Loss_D: -0.026152 Loss_G: -0.002957 Loss_D_real: -0.005007 Loss_D_fake 0.021145
[563/5000][90/535][57856] Loss_D: -0.025037 Loss_G: 0.015223 Loss_D_real: -0.018548 Loss_D_fake 0.006489
[563/5000][95/535][57857] Loss_D: -0.026329 Loss_G: 0.017701 Loss_D_real: -0.021319 Loss_D_fake 0.005010
[563/5000][100/535][57858] Loss_D: -0.025575 Loss_G: 0.016124 Loss_D_real: -0.022078 Loss_D_fake 0.003497
[563/5000][105/535][57859] Loss_D: -0.025412 Loss_G: 0.029838 Loss_D_real: -0.031577 Loss_D_fake -0.006165
[563/5000][110/535][57860] Loss_D: -0.026230 Loss_G: 0.022875 Loss_D_real: -0.027915 Loss_D_fake -0.001685
[563/5000][115/535][57861] Loss_D: -0.025973 Loss_G: 0.014966 Loss_D_real: -0.020366 Loss_D_fake 0.005607
[563/5000][120/535][57862] Loss_D: -0.025146 Loss_G: 0.018237 Loss_D_real: -0.032909 Loss_D_fake -0.007763
[563/5000][125/535][57863] Loss_D: -0.025987 Loss_G: 0.019729 Loss_D_real: -0.014380 Loss_D_fake 0.011607
[563/5000][130/535][57864] Loss_D: -0.026688 Loss_G: 0.029570 Loss_D_real: -0.027802 Loss_D_fake -0.001113
[563/5000][135/535][57865] Loss_D: -0.026558 Loss_G: 0.021498 Loss_D_real: -0.020317 Loss_D_fake 0.006242
[563/5000][140/535][57866] Loss_D: -0.024101 Loss_G: 0.030951 Loss_D_real: -0.034429 Loss_D_fake -0.010329
[563/5000][145/535][57867] Loss_D: -0.024800 Loss_G: 0.026437 Loss_D_real: -0.031903 Loss_D_fake -0.007103
[563/5000][150/535][57868] Loss_D: -0.024561 Loss_G: 0.009593 Loss_D_real: -0.012885 Loss_D_fake 0.011676
[563/5000][155/535][57869] Loss_D: -0.026023 Loss_G: 0.002621 Loss_D_real: -0.009144 Loss_D_fake 0.016878
[563/5000][160/535][57870] Loss_D: -0.025193 Loss_G: -0.000234 Loss_D_real: -0.012017 Loss_D_fake 0.013176
[563/5000][165/535][57871] Loss_D: -0.025112 Loss_G: 0.004403 Loss_D_real: -0.012415 Loss_D_fake 0.012697
[563/5000][170/535][57872] Loss_D: -0.024041 Loss_G: 0.008641 Loss_D_real: -0.012688 Loss_D_fake 0.011353
[563/5000][175/535][57873] Loss_D: -0.025623 Loss_G: 0.028418 Loss_D_real: -0.030715 Loss_D_fake -0.005091
[563/5000][180/535][57874] Loss_D: -0.026690 Loss_G: 0.018749 Loss_D_real: -0.028711 Loss_D_fake -0.002020
[563/5000][185/535][57875] Loss_D: -0.026098 Loss_G: 0.026154 Loss_D_real: -0.022033 Loss_D_fake 0.004064
[563/5000][190/535][57876] Loss_D: -0.026792 Loss_G: 0.018388 Loss_D_real: -0.018380 Loss_D_fake 0.008412
[563/5000][195/535][57877] Loss_D: -0.025665 Loss_G: 0.019766 Loss_D_real: -0.028647 Loss_D_fake -0.002982
[563/5000][200/535][57878] Loss_D: -0.025853 Loss_G: 0.022766 Loss_D_real: -0.019736 Loss_D_fake 0.006117
[563/5000][205/535][57879] Loss_D: -0.025502 Loss_G: 0.003629 Loss_D_real: -0.013610 Loss_D_fake 0.011892
[563/5000][210/535][57880] Loss_D: -0.025506 Loss_G: 0.026949 Loss_D_real: -0.035956 Loss_D_fake -0.010450
[563/5000][215/535][57881] Loss_D: -0.024723 Loss_G: 0.029319 Loss_D_real: -0.038228 Loss_D_fake -0.013505
[563/5000][220/535][57882] Loss_D: -0.023227 Loss_G: 0.035390 Loss_D_real: -0.035869 Loss_D_fake -0.012642
[563/5000][225/535][57883] Loss_D: -0.026167 Loss_G: -0.005249 Loss_D_real: -0.010723 Loss_D_fake 0.015443
[563/5000][230/535][57884] Loss_D: -0.024351 Loss_G: 0.013029 Loss_D_real: -0.021221 Loss_D_fake 0.003130
[563/5000][235/535][57885] Loss_D: -0.025062 Loss_G: -0.002909 Loss_D_real: -0.005742 Loss_D_fake 0.019320
[563/5000][240/535][57886] Loss_D: -0.025436 Loss_G: 0.014892 Loss_D_real: -0.014387 Loss_D_fake 0.011049
[563/5000][245/535][57887] Loss_D: -0.026838 Loss_G: 0.015458 Loss_D_real: -0.013763 Loss_D_fake 0.013075
[563/5000][250/535][57888] Loss_D: -0.025307 Loss_G: -0.006627 Loss_D_real: -0.004040 Loss_D_fake 0.021267
[563/5000][255/535][57889] Loss_D: -0.024153 Loss_G: 0.026844 Loss_D_real: -0.022065 Loss_D_fake 0.002088
[563/5000][260/535][57890] Loss_D: -0.025924 Loss_G: -0.010690 Loss_D_real: -0.008738 Loss_D_fake 0.017185
[563/5000][265/535][57891] Loss_D: -0.023959 Loss_G: 0.018265 Loss_D_real: -0.029673 Loss_D_fake -0.005714
[563/5000][270/535][57892] Loss_D: -0.025647 Loss_G: 0.005696 Loss_D_real: -0.013898 Loss_D_fake 0.011750
[563/5000][275/535][57893] Loss_D: -0.027121 Loss_G: 0.022826 Loss_D_real: -0.025590 Loss_D_fake 0.001531
[563/5000][280/535][57894] Loss_D: -0.026452 Loss_G: 0.025177 Loss_D_real: -0.024709 Loss_D_fake 0.001743
[563/5000][285/535][57895] Loss_D: -0.027138 Loss_G: -0.001979 Loss_D_real: -0.001217 Loss_D_fake 0.025922
[563/5000][290/535][57896] Loss_D: -0.025670 Loss_G: 0.020433 Loss_D_real: -0.019611 Loss_D_fake 0.006059
[563/5000][295/535][57897] Loss_D: -0.026614 Loss_G: 0.003838 Loss_D_real: -0.009853 Loss_D_fake 0.016761
[563/5000][300/535][57898] Loss_D: -0.026546 Loss_G: 0.027429 Loss_D_real: -0.028360 Loss_D_fake -0.001814
[563/5000][305/535][57899] Loss_D: -0.027454 Loss_G: 0.005981 Loss_D_real: -0.012125 Loss_D_fake 0.015329
[563/5000][310/535][57900] Loss_D: -0.026393 Loss_G: 0.019785 Loss_D_real: -0.018709 Loss_D_fake 0.007684
[563/5000][315/535][57901] Loss_D: -0.024923 Loss_G: 0.031571 Loss_D_real: -0.029031 Loss_D_fake -0.004108
[563/5000][320/535][57902] Loss_D: -0.025875 Loss_G: 0.016624 Loss_D_real: -0.031315 Loss_D_fake -0.005440
[563/5000][325/535][57903] Loss_D: -0.023387 Loss_G: 0.035949 Loss_D_real: -0.040203 Loss_D_fake -0.016816
[563/5000][330/535][57904] Loss_D: -0.025027 Loss_G: 0.029474 Loss_D_real: -0.027696 Loss_D_fake -0.002669
[563/5000][335/535][57905] Loss_D: -0.026467 Loss_G: 0.020413 Loss_D_real: -0.026428 Loss_D_fake 0.000039
[563/5000][340/535][57906] Loss_D: -0.025163 Loss_G: 0.002505 Loss_D_real: -0.010532 Loss_D_fake 0.014631
[563/5000][345/535][57907] Loss_D: -0.025609 Loss_G: 0.007924 Loss_D_real: -0.014357 Loss_D_fake 0.011253
[563/5000][350/535][57908] Loss_D: -0.026550 Loss_G: 0.025435 Loss_D_real: -0.019710 Loss_D_fake 0.006839
[563/5000][355/535][57909] Loss_D: -0.026057 Loss_G: 0.021876 Loss_D_real: -0.018808 Loss_D_fake 0.007250
[563/5000][360/535][57910] Loss_D: -0.026398 Loss_G: -0.002940 Loss_D_real: -0.005055 Loss_D_fake 0.021343
[563/5000][365/535][57911] Loss_D: -0.025225 Loss_G: 0.000417 Loss_D_real: 0.002509 Loss_D_fake 0.027734
[563/5000][370/535][57912] Loss_D: -0.026196 Loss_G: 0.008225 Loss_D_real: -0.010479 Loss_D_fake 0.015717
[563/5000][375/535][57913] Loss_D: -0.024019 Loss_G: -0.004315 Loss_D_real: -0.010535 Loss_D_fake 0.013484
[563/5000][380/535][57914] Loss_D: -0.025008 Loss_G: 0.012233 Loss_D_real: -0.009690 Loss_D_fake 0.015318
[563/5000][385/535][57915] Loss_D: -0.023025 Loss_G: 0.024228 Loss_D_real: -0.024627 Loss_D_fake -0.001602
[563/5000][390/535][57916] Loss_D: -0.025087 Loss_G: 0.002233 Loss_D_real: -0.008821 Loss_D_fake 0.016267
[563/5000][395/535][57917] Loss_D: -0.024081 Loss_G: 0.018296 Loss_D_real: -0.029771 Loss_D_fake -0.005691
[563/5000][400/535][57918] Loss_D: -0.026186 Loss_G: 0.022551 Loss_D_real: -0.027930 Loss_D_fake -0.001743
[563/5000][405/535][57919] Loss_D: -0.024187 Loss_G: 0.010411 Loss_D_real: -0.015450 Loss_D_fake 0.008737
[563/5000][410/535][57920] Loss_D: -0.025072 Loss_G: 0.014520 Loss_D_real: -0.020430 Loss_D_fake 0.004642
[563/5000][415/535][57921] Loss_D: -0.026358 Loss_G: 0.022153 Loss_D_real: -0.018367 Loss_D_fake 0.007991
[563/5000][420/535][57922] Loss_D: -0.025694 Loss_G: 0.014864 Loss_D_real: -0.009286 Loss_D_fake 0.016408
[563/5000][425/535][57923] Loss_D: -0.024923 Loss_G: 0.024639 Loss_D_real: -0.035820 Loss_D_fake -0.010897
[563/5000][430/535][57924] Loss_D: -0.024716 Loss_G: 0.017577 Loss_D_real: -0.018369 Loss_D_fake 0.006346
[563/5000][435/535][57925] Loss_D: -0.026533 Loss_G: 0.023273 Loss_D_real: -0.013784 Loss_D_fake 0.012749
[563/5000][440/535][57926] Loss_D: -0.025957 Loss_G: 0.003716 Loss_D_real: -0.007019 Loss_D_fake 0.018938
[563/5000][445/535][57927] Loss_D: -0.024967 Loss_G: -0.000674 Loss_D_real: 0.002906 Loss_D_fake 0.027874
[563/5000][450/535][57928] Loss_D: -0.024881 Loss_G: 0.018176 Loss_D_real: -0.020282 Loss_D_fake 0.004599
[563/5000][455/535][57929] Loss_D: -0.025664 Loss_G: 0.003725 Loss_D_real: -0.004245 Loss_D_fake 0.021419
[563/5000][460/535][57930] Loss_D: -0.024145 Loss_G: 0.034294 Loss_D_real: -0.032338 Loss_D_fake -0.008193
[563/5000][465/535][57931] Loss_D: -0.025684 Loss_G: 0.008371 Loss_D_real: -0.012691 Loss_D_fake 0.012993
[563/5000][470/535][57932] Loss_D: -0.024818 Loss_G: -0.000157 Loss_D_real: -0.003341 Loss_D_fake 0.021478
[563/5000][475/535][57933] Loss_D: -0.022991 Loss_G: 0.022937 Loss_D_real: -0.024185 Loss_D_fake -0.001194
[563/5000][480/535][57934] Loss_D: -0.025281 Loss_G: 0.007267 Loss_D_real: -0.012092 Loss_D_fake 0.013189
[563/5000][485/535][57935] Loss_D: -0.024540 Loss_G: -0.011516 Loss_D_real: 0.000274 Loss_D_fake 0.024814
[563/5000][490/535][57936] Loss_D: -0.023924 Loss_G: 0.012146 Loss_D_real: -0.021208 Loss_D_fake 0.002716
[563/5000][495/535][57937] Loss_D: -0.024542 Loss_G: 0.018300 Loss_D_real: -0.019466 Loss_D_fake 0.005076
[563/5000][500/535][57938] Loss_D: -0.023736 Loss_G: 0.014436 Loss_D_real: -0.020312 Loss_D_fake 0.003423
[563/5000][505/535][57939] Loss_D: -0.024937 Loss_G: 0.019246 Loss_D_real: -0.019769 Loss_D_fake 0.005169
[563/5000][510/535][57940] Loss_D: -0.026514 Loss_G: 0.019164 Loss_D_real: -0.018490 Loss_D_fake 0.008023
[563/5000][515/535][57941] Loss_D: -0.026086 Loss_G: 0.008937 Loss_D_real: -0.016861 Loss_D_fake 0.009224
[563/5000][520/535][57942] Loss_D: -0.025041 Loss_G: -0.006295 Loss_D_real: -0.009252 Loss_D_fake 0.015789
[563/5000][525/535][57943] Loss_D: -0.025498 Loss_G: 0.012098 Loss_D_real: -0.012327 Loss_D_fake 0.013171
[563/5000][530/535][57944] Loss_D: -0.024708 Loss_G: -0.006610 Loss_D_real: 0.004917 Loss_D_fake 0.029625
[563/5000][535/535][57945] Loss_D: -0.025995 Loss_G: 0.020784 Loss_D_real: -0.003940 Loss_D_fake 0.022054
[564/5000][5/535][57946] Loss_D: -0.025284 Loss_G: -0.004781 Loss_D_real: -0.013319 Loss_D_fake 0.011965
[564/5000][10/535][57947] Loss_D: -0.025082 Loss_G: 0.020379 Loss_D_real: -0.010971 Loss_D_fake 0.014111
[564/5000][15/535][57948] Loss_D: -0.026032 Loss_G: 0.011402 Loss_D_real: -0.008487 Loss_D_fake 0.017545
[564/5000][20/535][57949] Loss_D: -0.025619 Loss_G: -0.016276 Loss_D_real: 0.001811 Loss_D_fake 0.027430
[564/5000][25/535][57950] Loss_D: -0.025582 Loss_G: 0.021702 Loss_D_real: -0.020817 Loss_D_fake 0.004765
[564/5000][30/535][57951] Loss_D: -0.026370 Loss_G: 0.031768 Loss_D_real: -0.030450 Loss_D_fake -0.004080
[564/5000][35/535][57952] Loss_D: -0.024830 Loss_G: 0.019164 Loss_D_real: -0.018195 Loss_D_fake 0.006635
[564/5000][40/535][57953] Loss_D: -0.025556 Loss_G: 0.017192 Loss_D_real: -0.020296 Loss_D_fake 0.005259
[564/5000][45/535][57954] Loss_D: -0.024550 Loss_G: 0.025375 Loss_D_real: -0.026222 Loss_D_fake -0.001672
[564/5000][50/535][57955] Loss_D: -0.025724 Loss_G: 0.000428 Loss_D_real: -0.003996 Loss_D_fake 0.021728
[564/5000][55/535][57956] Loss_D: -0.025815 Loss_G: 0.024810 Loss_D_real: -0.024454 Loss_D_fake 0.001361
[564/5000][60/535][57957] Loss_D: -0.024716 Loss_G: 0.015181 Loss_D_real: -0.012257 Loss_D_fake 0.012459
[564/5000][65/535][57958] Loss_D: -0.025871 Loss_G: 0.006558 Loss_D_real: -0.018354 Loss_D_fake 0.007517
[564/5000][70/535][57959] Loss_D: -0.025678 Loss_G: 0.013718 Loss_D_real: -0.018183 Loss_D_fake 0.007495
[564/5000][75/535][57960] Loss_D: -0.026123 Loss_G: 0.031186 Loss_D_real: -0.032968 Loss_D_fake -0.006844
[564/5000][80/535][57961] Loss_D: -0.026464 Loss_G: 0.004010 Loss_D_real: -0.013926 Loss_D_fake 0.012538
[564/5000][85/535][57962] Loss_D: -0.023848 Loss_G: 0.036242 Loss_D_real: -0.039359 Loss_D_fake -0.015511
[564/5000][90/535][57963] Loss_D: -0.025917 Loss_G: -0.006206 Loss_D_real: -0.001779 Loss_D_fake 0.024138
[564/5000][95/535][57964] Loss_D: -0.024996 Loss_G: 0.019454 Loss_D_real: -0.023846 Loss_D_fake 0.001150
[564/5000][100/535][57965] Loss_D: -0.024416 Loss_G: -0.014736 Loss_D_real: -0.004546 Loss_D_fake 0.019870
[564/5000][105/535][57966] Loss_D: -0.024478 Loss_G: 0.006703 Loss_D_real: -0.007747 Loss_D_fake 0.016731
[564/5000][110/535][57967] Loss_D: -0.024797 Loss_G: 0.007414 Loss_D_real: -0.015959 Loss_D_fake 0.008838
[564/5000][115/535][57968] Loss_D: -0.024787 Loss_G: 0.030185 Loss_D_real: -0.027259 Loss_D_fake -0.002472
[564/5000][120/535][57969] Loss_D: -0.026731 Loss_G: 0.026899 Loss_D_real: -0.031830 Loss_D_fake -0.005099
[564/5000][125/535][57970] Loss_D: -0.026423 Loss_G: 0.006273 Loss_D_real: -0.014200 Loss_D_fake 0.012223
[564/5000][130/535][57971] Loss_D: -0.026472 Loss_G: 0.012142 Loss_D_real: -0.011390 Loss_D_fake 0.015082
[564/5000][135/535][57972] Loss_D: -0.025637 Loss_G: -0.008455 Loss_D_real: -0.007866 Loss_D_fake 0.017772
[564/5000][140/535][57973] Loss_D: -0.025648 Loss_G: 0.012670 Loss_D_real: -0.026431 Loss_D_fake -0.000783
[564/5000][145/535][57974] Loss_D: -0.024695 Loss_G: 0.005997 Loss_D_real: -0.024327 Loss_D_fake 0.000368
[564/5000][150/535][57975] Loss_D: -0.025353 Loss_G: 0.016502 Loss_D_real: -0.018803 Loss_D_fake 0.006550
[564/5000][155/535][57976] Loss_D: -0.025497 Loss_G: 0.013341 Loss_D_real: -0.026330 Loss_D_fake -0.000833
[564/5000][160/535][57977] Loss_D: -0.025925 Loss_G: 0.018852 Loss_D_real: -0.015995 Loss_D_fake 0.009930
[564/5000][165/535][57978] Loss_D: -0.025448 Loss_G: 0.015222 Loss_D_real: -0.019152 Loss_D_fake 0.006296
[564/5000][170/535][57979] Loss_D: -0.026437 Loss_G: -0.001140 Loss_D_real: -0.008868 Loss_D_fake 0.017569
[564/5000][175/535][57980] Loss_D: -0.025943 Loss_G: 0.022225 Loss_D_real: -0.015968 Loss_D_fake 0.009975
[564/5000][180/535][57981] Loss_D: -0.026347 Loss_G: 0.013002 Loss_D_real: -0.015361 Loss_D_fake 0.010986
[564/5000][185/535][57982] Loss_D: -0.023413 Loss_G: 0.004875 Loss_D_real: -0.020514 Loss_D_fake 0.002899
[564/5000][190/535][57983] Loss_D: -0.025622 Loss_G: -0.006550 Loss_D_real: 0.000909 Loss_D_fake 0.026531
[564/5000][195/535][57984] Loss_D: -0.024864 Loss_G: -0.001080 Loss_D_real: -0.008641 Loss_D_fake 0.016223
[564/5000][200/535][57985] Loss_D: -0.024928 Loss_G: 0.028065 Loss_D_real: -0.030504 Loss_D_fake -0.005576
[564/5000][205/535][57986] Loss_D: -0.025664 Loss_G: 0.002918 Loss_D_real: -0.008131 Loss_D_fake 0.017533
[564/5000][210/535][57987] Loss_D: -0.026018 Loss_G: -0.004476 Loss_D_real: -0.009585 Loss_D_fake 0.016433
[564/5000][215/535][57988] Loss_D: -0.025254 Loss_G: 0.024377 Loss_D_real: -0.028131 Loss_D_fake -0.002877
[564/5000][220/535][57989] Loss_D: -0.025775 Loss_G: 0.005409 Loss_D_real: -0.006662 Loss_D_fake 0.019113
[564/5000][225/535][57990] Loss_D: -0.024327 Loss_G: 0.025410 Loss_D_real: -0.028074 Loss_D_fake -0.003746
[564/5000][230/535][57991] Loss_D: -0.025227 Loss_G: 0.019539 Loss_D_real: -0.014919 Loss_D_fake 0.010308
[564/5000][235/535][57992] Loss_D: -0.025687 Loss_G: 0.023495 Loss_D_real: -0.017632 Loss_D_fake 0.008054
[564/5000][240/535][57993] Loss_D: -0.026613 Loss_G: 0.018781 Loss_D_real: -0.018251 Loss_D_fake 0.008362
[564/5000][245/535][57994] Loss_D: -0.026518 Loss_G: 0.014450 Loss_D_real: -0.017551 Loss_D_fake 0.008967
[564/5000][250/535][57995] Loss_D: -0.025773 Loss_G: 0.023718 Loss_D_real: -0.023835 Loss_D_fake 0.001938
[564/5000][255/535][57996] Loss_D: -0.027249 Loss_G: 0.013806 Loss_D_real: -0.014330 Loss_D_fake 0.012919
[564/5000][260/535][57997] Loss_D: -0.026956 Loss_G: -0.000035 Loss_D_real: -0.001960 Loss_D_fake 0.024995
[564/5000][265/535][57998] Loss_D: -0.026059 Loss_G: 0.001133 Loss_D_real: -0.007611 Loss_D_fake 0.018449
[564/5000][270/535][57999] Loss_D: -0.024996 Loss_G: 0.026062 Loss_D_real: -0.029697 Loss_D_fake -0.004702
[564/5000][275/535][58000] Loss_D: -0.025488 Loss_G: -0.008063 Loss_D_real: 0.003477 Loss_D_fake 0.028965
[564/5000][375/535][58001] Loss_D: -0.029185 Loss_G: -0.007792 Loss_D_real: 0.005170 Loss_D_fake 0.034355
[564/5000][380/535][58002] Loss_D: -0.025457 Loss_G: 0.017982 Loss_D_real: -0.018311 Loss_D_fake 0.007146
[564/5000][385/535][58003] Loss_D: -0.026222 Loss_G: 0.010336 Loss_D_real: -0.011917 Loss_D_fake 0.014305
[564/5000][390/535][58004] Loss_D: -0.022783 Loss_G: 0.004577 Loss_D_real: -0.011303 Loss_D_fake 0.011479
[564/5000][395/535][58005] Loss_D: -0.023833 Loss_G: -0.004075 Loss_D_real: -0.017687 Loss_D_fake 0.006146
[564/5000][400/535][58006] Loss_D: -0.023701 Loss_G: 0.014365 Loss_D_real: -0.009881 Loss_D_fake 0.013819
[564/5000][405/535][58007] Loss_D: -0.024274 Loss_G: 0.018231 Loss_D_real: -0.016900 Loss_D_fake 0.007374
[564/5000][410/535][58008] Loss_D: -0.024204 Loss_G: 0.004158 Loss_D_real: -0.013537 Loss_D_fake 0.010667
[564/5000][415/535][58009] Loss_D: -0.024016 Loss_G: 0.009481 Loss_D_real: -0.021966 Loss_D_fake 0.002050
[564/5000][420/535][58010] Loss_D: -0.024929 Loss_G: 0.008707 Loss_D_real: -0.007716 Loss_D_fake 0.017213
[564/5000][425/535][58011] Loss_D: -0.023869 Loss_G: 0.009708 Loss_D_real: -0.016927 Loss_D_fake 0.006942
[564/5000][430/535][58012] Loss_D: -0.025397 Loss_G: 0.002022 Loss_D_real: -0.015979 Loss_D_fake 0.009418
[564/5000][435/535][58013] Loss_D: -0.024424 Loss_G: 0.011681 Loss_D_real: -0.012453 Loss_D_fake 0.011971
[564/5000][440/535][58014] Loss_D: -0.023811 Loss_G: 0.011415 Loss_D_real: -0.029760 Loss_D_fake -0.005948
[564/5000][445/535][58015] Loss_D: -0.024101 Loss_G: 0.011210 Loss_D_real: -0.017874 Loss_D_fake 0.006227
[564/5000][450/535][58016] Loss_D: -0.024692 Loss_G: 0.010615 Loss_D_real: -0.015114 Loss_D_fake 0.009579
[564/5000][455/535][58017] Loss_D: -0.024494 Loss_G: 0.027170 Loss_D_real: -0.026196 Loss_D_fake -0.001702
[564/5000][460/535][58018] Loss_D: -0.025293 Loss_G: 0.011580 Loss_D_real: -0.017058 Loss_D_fake 0.008235
[564/5000][465/535][58019] Loss_D: -0.024865 Loss_G: 0.025948 Loss_D_real: -0.032953 Loss_D_fake -0.008088
[564/5000][470/535][58020] Loss_D: -0.025174 Loss_G: 0.021421 Loss_D_real: -0.020263 Loss_D_fake 0.004910
[564/5000][475/535][58021] Loss_D: -0.025951 Loss_G: 0.022006 Loss_D_real: -0.029234 Loss_D_fake -0.003283
[564/5000][480/535][58022] Loss_D: -0.026217 Loss_G: 0.026604 Loss_D_real: -0.025702 Loss_D_fake 0.000515
[564/5000][485/535][58023] Loss_D: -0.026365 Loss_G: 0.011250 Loss_D_real: -0.020122 Loss_D_fake 0.006243
[564/5000][490/535][58024] Loss_D: -0.024558 Loss_G: 0.017917 Loss_D_real: -0.022487 Loss_D_fake 0.002071
[564/5000][495/535][58025] Loss_D: -0.026619 Loss_G: 0.019362 Loss_D_real: -0.009459 Loss_D_fake 0.017160
[564/5000][500/535][58026] Loss_D: -0.025315 Loss_G: 0.024306 Loss_D_real: -0.028393 Loss_D_fake -0.003078
[564/5000][505/535][58027] Loss_D: -0.025639 Loss_G: 0.022750 Loss_D_real: -0.016226 Loss_D_fake 0.009413
[564/5000][510/535][58028] Loss_D: -0.025327 Loss_G: 0.018726 Loss_D_real: -0.013648 Loss_D_fake 0.011679
[564/5000][515/535][58029] Loss_D: -0.025727 Loss_G: 0.022784 Loss_D_real: -0.020994 Loss_D_fake 0.004733
[564/5000][520/535][58030] Loss_D: -0.024733 Loss_G: 0.012960 Loss_D_real: -0.022839 Loss_D_fake 0.001895
[564/5000][525/535][58031] Loss_D: -0.025098 Loss_G: 0.001689 Loss_D_real: -0.008453 Loss_D_fake 0.016644
[564/5000][530/535][58032] Loss_D: -0.025753 Loss_G: -0.004169 Loss_D_real: 0.000108 Loss_D_fake 0.025860
[564/5000][535/535][58033] Loss_D: -0.025498 Loss_G: 0.038343 Loss_D_real: -0.025198 Loss_D_fake 0.000300
[565/5000][5/535][58034] Loss_D: -0.024749 Loss_G: -0.001468 Loss_D_real: -0.009257 Loss_D_fake 0.015492
[565/5000][10/535][58035] Loss_D: -0.024457 Loss_G: -0.007520 Loss_D_real: -0.013656 Loss_D_fake 0.010800
[565/5000][15/535][58036] Loss_D: -0.026808 Loss_G: 0.015080 Loss_D_real: -0.022770 Loss_D_fake 0.004038
[565/5000][20/535][58037] Loss_D: -0.024434 Loss_G: 0.026279 Loss_D_real: -0.028137 Loss_D_fake -0.003703
[565/5000][25/535][58038] Loss_D: -0.025564 Loss_G: -0.003404 Loss_D_real: -0.009798 Loss_D_fake 0.015766
[565/5000][30/535][58039] Loss_D: -0.026231 Loss_G: 0.021351 Loss_D_real: -0.023157 Loss_D_fake 0.003074
[565/5000][35/535][58040] Loss_D: -0.024633 Loss_G: 0.036807 Loss_D_real: -0.029952 Loss_D_fake -0.005319
[565/5000][40/535][58041] Loss_D: -0.026221 Loss_G: 0.006034 Loss_D_real: -0.006294 Loss_D_fake 0.019927
[565/5000][45/535][58042] Loss_D: -0.026307 Loss_G: -0.000737 Loss_D_real: -0.009785 Loss_D_fake 0.016523
[565/5000][50/535][58043] Loss_D: -0.025232 Loss_G: 0.010939 Loss_D_real: -0.018922 Loss_D_fake 0.006310
[565/5000][55/535][58044] Loss_D: -0.027488 Loss_G: 0.014558 Loss_D_real: -0.013211 Loss_D_fake 0.014277
[565/5000][60/535][58045] Loss_D: -0.026373 Loss_G: 0.006899 Loss_D_real: -0.021630 Loss_D_fake 0.004743
[565/5000][65/535][58046] Loss_D: -0.025040 Loss_G: 0.023533 Loss_D_real: -0.027790 Loss_D_fake -0.002749
[565/5000][70/535][58047] Loss_D: -0.025580 Loss_G: 0.001408 Loss_D_real: -0.016184 Loss_D_fake 0.009396
[565/5000][75/535][58048] Loss_D: -0.024822 Loss_G: 0.015716 Loss_D_real: -0.021963 Loss_D_fake 0.002858
[565/5000][80/535][58049] Loss_D: -0.026197 Loss_G: 0.009459 Loss_D_real: -0.018923 Loss_D_fake 0.007274
[565/5000][85/535][58050] Loss_D: -0.025546 Loss_G: 0.025100 Loss_D_real: -0.015412 Loss_D_fake 0.010134
[565/5000][90/535][58051] Loss_D: -0.024338 Loss_G: 0.006276 Loss_D_real: -0.010617 Loss_D_fake 0.013721
[565/5000][95/535][58052] Loss_D: -0.024076 Loss_G: -0.006559 Loss_D_real: 0.006347 Loss_D_fake 0.030423
[565/5000][100/535][58053] Loss_D: -0.025026 Loss_G: 0.028539 Loss_D_real: -0.021985 Loss_D_fake 0.003042
[565/5000][105/535][58054] Loss_D: -0.023747 Loss_G: 0.012700 Loss_D_real: -0.009157 Loss_D_fake 0.014590
[565/5000][110/535][58055] Loss_D: -0.025064 Loss_G: 0.015296 Loss_D_real: -0.019478 Loss_D_fake 0.005586
[565/5000][115/535][58056] Loss_D: -0.026374 Loss_G: 0.002723 Loss_D_real: 0.000052 Loss_D_fake 0.026426
[565/5000][120/535][58057] Loss_D: -0.025108 Loss_G: 0.003211 Loss_D_real: -0.014895 Loss_D_fake 0.010213
[565/5000][125/535][58058] Loss_D: -0.026195 Loss_G: 0.004362 Loss_D_real: -0.003573 Loss_D_fake 0.022621
[565/5000][130/535][58059] Loss_D: -0.026678 Loss_G: 0.013733 Loss_D_real: -0.015615 Loss_D_fake 0.011063
[565/5000][135/535][58060] Loss_D: -0.025781 Loss_G: 0.012195 Loss_D_real: -0.027819 Loss_D_fake -0.002038
[565/5000][140/535][58061] Loss_D: -0.023549 Loss_G: 0.041644 Loss_D_real: -0.032059 Loss_D_fake -0.008510
[565/5000][145/535][58062] Loss_D: -0.026768 Loss_G: 0.019512 Loss_D_real: -0.027137 Loss_D_fake -0.000369
[565/5000][150/535][58063] Loss_D: -0.025574 Loss_G: -0.000531 Loss_D_real: -0.007107 Loss_D_fake 0.018467
[565/5000][155/535][58064] Loss_D: -0.025624 Loss_G: 0.020227 Loss_D_real: -0.026962 Loss_D_fake -0.001338
[565/5000][160/535][58065] Loss_D: -0.026001 Loss_G: 0.030332 Loss_D_real: -0.030976 Loss_D_fake -0.004975
[565/5000][165/535][58066] Loss_D: -0.024387 Loss_G: -0.012184 Loss_D_real: -0.004892 Loss_D_fake 0.019496
[565/5000][170/535][58067] Loss_D: -0.025503 Loss_G: 0.022059 Loss_D_real: -0.026050 Loss_D_fake -0.000547
[565/5000][175/535][58068] Loss_D: -0.025637 Loss_G: 0.013144 Loss_D_real: -0.020201 Loss_D_fake 0.005436
[565/5000][180/535][58069] Loss_D: -0.026048 Loss_G: 0.002253 Loss_D_real: -0.008288 Loss_D_fake 0.017759
[565/5000][185/535][58070] Loss_D: -0.025029 Loss_G: 0.005591 Loss_D_real: -0.020699 Loss_D_fake 0.004330
[565/5000][190/535][58071] Loss_D: -0.025743 Loss_G: -0.009648 Loss_D_real: -0.006681 Loss_D_fake 0.019062
[565/5000][195/535][58072] Loss_D: -0.024179 Loss_G: 0.032675 Loss_D_real: -0.022341 Loss_D_fake 0.001838
[565/5000][200/535][58073] Loss_D: -0.024922 Loss_G: 0.029315 Loss_D_real: -0.025569 Loss_D_fake -0.000648
[565/5000][205/535][58074] Loss_D: -0.025785 Loss_G: 0.024230 Loss_D_real: -0.027447 Loss_D_fake -0.001662
[565/5000][210/535][58075] Loss_D: -0.026156 Loss_G: 0.033138 Loss_D_real: -0.023522 Loss_D_fake 0.002634
[565/5000][215/535][58076] Loss_D: -0.026641 Loss_G: 0.013493 Loss_D_real: -0.019757 Loss_D_fake 0.006884
[565/5000][220/535][58077] Loss_D: -0.025925 Loss_G: 0.014191 Loss_D_real: -0.020691 Loss_D_fake 0.005234
[565/5000][225/535][58078] Loss_D: -0.024452 Loss_G: 0.002897 Loss_D_real: -0.004730 Loss_D_fake 0.019721
[565/5000][230/535][58079] Loss_D: -0.026162 Loss_G: 0.014320 Loss_D_real: -0.015494 Loss_D_fake 0.010668
[565/5000][235/535][58080] Loss_D: -0.026068 Loss_G: 0.016497 Loss_D_real: -0.027313 Loss_D_fake -0.001245
[565/5000][240/535][58081] Loss_D: -0.026707 Loss_G: 0.007701 Loss_D_real: -0.007421 Loss_D_fake 0.019286
[565/5000][245/535][58082] Loss_D: -0.025262 Loss_G: 0.030994 Loss_D_real: -0.022491 Loss_D_fake 0.002770
[565/5000][250/535][58083] Loss_D: -0.026464 Loss_G: 0.007926 Loss_D_real: -0.016056 Loss_D_fake 0.010408
[565/5000][255/535][58084] Loss_D: -0.025674 Loss_G: 0.034843 Loss_D_real: -0.022618 Loss_D_fake 0.003056
[565/5000][260/535][58085] Loss_D: -0.025367 Loss_G: -0.003461 Loss_D_real: -0.010676 Loss_D_fake 0.014690
[565/5000][265/535][58086] Loss_D: -0.025124 Loss_G: 0.017945 Loss_D_real: -0.024725 Loss_D_fake 0.000399
[565/5000][270/535][58087] Loss_D: -0.025851 Loss_G: -0.004706 Loss_D_real: -0.008640 Loss_D_fake 0.017211
[565/5000][275/535][58088] Loss_D: -0.025144 Loss_G: 0.008969 Loss_D_real: -0.003717 Loss_D_fake 0.021427
[565/5000][280/535][58089] Loss_D: -0.026135 Loss_G: -0.004464 Loss_D_real: -0.009689 Loss_D_fake 0.016446
[565/5000][285/535][58090] Loss_D: -0.025129 Loss_G: 0.016094 Loss_D_real: -0.023689 Loss_D_fake 0.001440
[565/5000][290/535][58091] Loss_D: -0.025730 Loss_G: 0.024107 Loss_D_real: -0.017239 Loss_D_fake 0.008491
[565/5000][295/535][58092] Loss_D: -0.025104 Loss_G: 0.014621 Loss_D_real: -0.014993 Loss_D_fake 0.010111
[565/5000][300/535][58093] Loss_D: -0.025964 Loss_G: 0.025522 Loss_D_real: -0.031049 Loss_D_fake -0.005085
[565/5000][305/535][58094] Loss_D: -0.025945 Loss_G: 0.021496 Loss_D_real: -0.019555 Loss_D_fake 0.006390
[565/5000][310/535][58095] Loss_D: -0.024774 Loss_G: 0.024187 Loss_D_real: -0.019523 Loss_D_fake 0.005250
[565/5000][315/535][58096] Loss_D: -0.024662 Loss_G: -0.003494 Loss_D_real: -0.003927 Loss_D_fake 0.020735
[565/5000][320/535][58097] Loss_D: -0.023963 Loss_G: 0.026343 Loss_D_real: -0.026149 Loss_D_fake -0.002186
[565/5000][325/535][58098] Loss_D: -0.024924 Loss_G: 0.018097 Loss_D_real: -0.026109 Loss_D_fake -0.001186
[565/5000][330/535][58099] Loss_D: -0.025756 Loss_G: 0.016656 Loss_D_real: -0.018621 Loss_D_fake 0.007135
[565/5000][335/535][58100] Loss_D: -0.025270 Loss_G: 0.019635 Loss_D_real: -0.025911 Loss_D_fake -0.000642
[565/5000][340/535][58101] Loss_D: -0.025507 Loss_G: 0.000836 Loss_D_real: -0.002337 Loss_D_fake 0.023171
[565/5000][345/535][58102] Loss_D: -0.023422 Loss_G: 0.031817 Loss_D_real: -0.030226 Loss_D_fake -0.006804
[565/5000][350/535][58103] Loss_D: -0.025392 Loss_G: 0.001671 Loss_D_real: -0.011423 Loss_D_fake 0.013969
[565/5000][355/535][58104] Loss_D: -0.025328 Loss_G: 0.020391 Loss_D_real: -0.024304 Loss_D_fake 0.001024
[565/5000][360/535][58105] Loss_D: -0.024674 Loss_G: 0.029082 Loss_D_real: -0.033315 Loss_D_fake -0.008641
[565/5000][365/535][58106] Loss_D: -0.025119 Loss_G: 0.027326 Loss_D_real: -0.036791 Loss_D_fake -0.011672
[565/5000][370/535][58107] Loss_D: -0.026999 Loss_G: 0.010724 Loss_D_real: -0.016883 Loss_D_fake 0.010117
[565/5000][375/535][58108] Loss_D: -0.027336 Loss_G: 0.012139 Loss_D_real: -0.016115 Loss_D_fake 0.011222
[565/5000][380/535][58109] Loss_D: -0.025381 Loss_G: 0.003663 Loss_D_real: -0.004057 Loss_D_fake 0.021324
[565/5000][385/535][58110] Loss_D: -0.024816 Loss_G: 0.026764 Loss_D_real: -0.031090 Loss_D_fake -0.006274
[565/5000][390/535][58111] Loss_D: -0.025578 Loss_G: 0.004583 Loss_D_real: -0.007503 Loss_D_fake 0.018075
[565/5000][395/535][58112] Loss_D: -0.024677 Loss_G: 0.015211 Loss_D_real: -0.022225 Loss_D_fake 0.002452
[565/5000][400/535][58113] Loss_D: -0.024393 Loss_G: -0.000749 Loss_D_real: -0.004092 Loss_D_fake 0.020301
[565/5000][405/535][58114] Loss_D: -0.025453 Loss_G: 0.011404 Loss_D_real: -0.007797 Loss_D_fake 0.017656
[565/5000][410/535][58115] Loss_D: -0.025323 Loss_G: 0.008253 Loss_D_real: -0.006668 Loss_D_fake 0.018654
[565/5000][415/535][58116] Loss_D: -0.024938 Loss_G: 0.007980 Loss_D_real: -0.013317 Loss_D_fake 0.011620
[565/5000][420/535][58117] Loss_D: -0.024885 Loss_G: 0.015203 Loss_D_real: -0.017312 Loss_D_fake 0.007573
[565/5000][425/535][58118] Loss_D: -0.026072 Loss_G: 0.014253 Loss_D_real: -0.015766 Loss_D_fake 0.010306
[565/5000][430/535][58119] Loss_D: -0.024433 Loss_G: 0.021339 Loss_D_real: -0.025164 Loss_D_fake -0.000731
[565/5000][435/535][58120] Loss_D: -0.024669 Loss_G: 0.001062 Loss_D_real: -0.019988 Loss_D_fake 0.004681
[565/5000][440/535][58121] Loss_D: -0.024950 Loss_G: 0.014365 Loss_D_real: -0.026893 Loss_D_fake -0.001943
[565/5000][445/535][58122] Loss_D: -0.025539 Loss_G: 0.000195 Loss_D_real: -0.012562 Loss_D_fake 0.012978
[565/5000][450/535][58123] Loss_D: -0.024451 Loss_G: 0.026322 Loss_D_real: -0.027616 Loss_D_fake -0.003165
[565/5000][455/535][58124] Loss_D: -0.023903 Loss_G: 0.027136 Loss_D_real: -0.039508 Loss_D_fake -0.015605
[565/5000][460/535][58125] Loss_D: -0.025794 Loss_G: 0.019327 Loss_D_real: -0.033491 Loss_D_fake -0.007697
[565/5000][465/535][58126] Loss_D: -0.026062 Loss_G: 0.024189 Loss_D_real: -0.019941 Loss_D_fake 0.006121
[565/5000][470/535][58127] Loss_D: -0.024966 Loss_G: 0.007289 Loss_D_real: -0.007556 Loss_D_fake 0.017410
[565/5000][475/535][58128] Loss_D: -0.026600 Loss_G: 0.018377 Loss_D_real: -0.011227 Loss_D_fake 0.015372
[565/5000][480/535][58129] Loss_D: -0.025570 Loss_G: 0.017810 Loss_D_real: -0.014969 Loss_D_fake 0.010601
[565/5000][485/535][58130] Loss_D: -0.026248 Loss_G: 0.005968 Loss_D_real: -0.019135 Loss_D_fake 0.007113
[565/5000][490/535][58131] Loss_D: -0.027234 Loss_G: 0.001838 Loss_D_real: -0.010792 Loss_D_fake 0.016442
[565/5000][495/535][58132] Loss_D: -0.026710 Loss_G: 0.011946 Loss_D_real: -0.022131 Loss_D_fake 0.004579
[565/5000][500/535][58133] Loss_D: -0.024352 Loss_G: 0.034339 Loss_D_real: -0.036196 Loss_D_fake -0.011844
[565/5000][505/535][58134] Loss_D: -0.025767 Loss_G: 0.012491 Loss_D_real: -0.020480 Loss_D_fake 0.005287
[565/5000][510/535][58135] Loss_D: -0.023959 Loss_G: 0.026444 Loss_D_real: -0.039964 Loss_D_fake -0.016005
[565/5000][515/535][58136] Loss_D: -0.026606 Loss_G: 0.001389 Loss_D_real: -0.003048 Loss_D_fake 0.023559
[565/5000][520/535][58137] Loss_D: -0.023898 Loss_G: 0.005894 Loss_D_real: -0.023386 Loss_D_fake 0.000512
[565/5000][525/535][58138] Loss_D: -0.025340 Loss_G: 0.022623 Loss_D_real: -0.027460 Loss_D_fake -0.002120
[565/5000][530/535][58139] Loss_D: -0.026228 Loss_G: 0.019392 Loss_D_real: -0.018151 Loss_D_fake 0.008076
[565/5000][535/535][58140] Loss_D: -0.023422 Loss_G: 0.043635 Loss_D_real: -0.025974 Loss_D_fake -0.002552
[566/5000][5/535][58141] Loss_D: -0.026382 Loss_G: -0.013001 Loss_D_real: -0.012195 Loss_D_fake 0.014187
[566/5000][10/535][58142] Loss_D: -0.024719 Loss_G: 0.028141 Loss_D_real: -0.031564 Loss_D_fake -0.006845
[566/5000][15/535][58143] Loss_D: -0.024861 Loss_G: 0.022455 Loss_D_real: -0.020835 Loss_D_fake 0.004026
[566/5000][20/535][58144] Loss_D: -0.026697 Loss_G: 0.017144 Loss_D_real: -0.018918 Loss_D_fake 0.007779
[566/5000][25/535][58145] Loss_D: -0.024928 Loss_G: 0.017409 Loss_D_real: -0.008479 Loss_D_fake 0.016450
[566/5000][30/535][58146] Loss_D: -0.024989 Loss_G: 0.007611 Loss_D_real: -0.001370 Loss_D_fake 0.023619
[566/5000][35/535][58147] Loss_D: -0.026873 Loss_G: 0.006212 Loss_D_real: -0.010983 Loss_D_fake 0.015890
[566/5000][40/535][58148] Loss_D: -0.023844 Loss_G: -0.011254 Loss_D_real: -0.001270 Loss_D_fake 0.022575
[566/5000][45/535][58149] Loss_D: -0.026030 Loss_G: 0.016192 Loss_D_real: -0.026816 Loss_D_fake -0.000785
[566/5000][50/535][58150] Loss_D: -0.025383 Loss_G: 0.021315 Loss_D_real: -0.026228 Loss_D_fake -0.000845
[566/5000][55/535][58151] Loss_D: -0.026450 Loss_G: 0.030063 Loss_D_real: -0.018862 Loss_D_fake 0.007588
[566/5000][60/535][58152] Loss_D: -0.025454 Loss_G: 0.002733 Loss_D_real: -0.001029 Loss_D_fake 0.024425
[566/5000][65/535][58153] Loss_D: -0.026785 Loss_G: 0.013604 Loss_D_real: -0.013910 Loss_D_fake 0.012876
[566/5000][70/535][58154] Loss_D: -0.025429 Loss_G: -0.000104 Loss_D_real: -0.004670 Loss_D_fake 0.020759
[566/5000][75/535][58155] Loss_D: -0.024767 Loss_G: 0.008363 Loss_D_real: -0.018145 Loss_D_fake 0.006622
[566/5000][80/535][58156] Loss_D: -0.025444 Loss_G: 0.023540 Loss_D_real: -0.026497 Loss_D_fake -0.001053
[566/5000][85/535][58157] Loss_D: -0.026324 Loss_G: -0.000480 Loss_D_real: -0.005864 Loss_D_fake 0.020460
[566/5000][90/535][58158] Loss_D: -0.024640 Loss_G: 0.021842 Loss_D_real: -0.011157 Loss_D_fake 0.013483
[566/5000][95/535][58159] Loss_D: -0.026787 Loss_G: 0.013534 Loss_D_real: -0.009291 Loss_D_fake 0.017496
[566/5000][100/535][58160] Loss_D: -0.025475 Loss_G: 0.029806 Loss_D_real: -0.028247 Loss_D_fake -0.002772
[566/5000][105/535][58161] Loss_D: -0.025879 Loss_G: 0.013467 Loss_D_real: -0.014441 Loss_D_fake 0.011438
[566/5000][110/535][58162] Loss_D: -0.026988 Loss_G: 0.006019 Loss_D_real: -0.017992 Loss_D_fake 0.008996
[566/5000][115/535][58163] Loss_D: -0.025432 Loss_G: 0.003518 Loss_D_real: -0.014131 Loss_D_fake 0.011301
[566/5000][120/535][58164] Loss_D: -0.026245 Loss_G: 0.001109 Loss_D_real: -0.011310 Loss_D_fake 0.014935
[566/5000][125/535][58165] Loss_D: -0.024882 Loss_G: -0.009170 Loss_D_real: -0.003998 Loss_D_fake 0.020884
[566/5000][130/535][58166] Loss_D: -0.025227 Loss_G: 0.006377 Loss_D_real: -0.015812 Loss_D_fake 0.009415
[566/5000][135/535][58167] Loss_D: -0.024760 Loss_G: 0.026345 Loss_D_real: -0.029707 Loss_D_fake -0.004947
[566/5000][140/535][58168] Loss_D: -0.023911 Loss_G: 0.025615 Loss_D_real: -0.031109 Loss_D_fake -0.007198
[566/5000][145/535][58169] Loss_D: -0.025518 Loss_G: -0.005274 Loss_D_real: -0.007280 Loss_D_fake 0.018238
[566/5000][150/535][58170] Loss_D: -0.025707 Loss_G: 0.026429 Loss_D_real: -0.022710 Loss_D_fake 0.002997
[566/5000][155/535][58171] Loss_D: -0.025258 Loss_G: 0.002151 Loss_D_real: -0.002225 Loss_D_fake 0.023033
[566/5000][160/535][58172] Loss_D: -0.024895 Loss_G: 0.021378 Loss_D_real: -0.014961 Loss_D_fake 0.009934
[566/5000][165/535][58173] Loss_D: -0.025409 Loss_G: 0.011801 Loss_D_real: -0.018940 Loss_D_fake 0.006469
[566/5000][170/535][58174] Loss_D: -0.025146 Loss_G: 0.020822 Loss_D_real: -0.015323 Loss_D_fake 0.009823
[566/5000][175/535][58175] Loss_D: -0.024978 Loss_G: 0.003952 Loss_D_real: -0.005768 Loss_D_fake 0.019209
[566/5000][180/535][58176] Loss_D: -0.023863 Loss_G: 0.033130 Loss_D_real: -0.033789 Loss_D_fake -0.009927
[566/5000][185/535][58177] Loss_D: -0.025843 Loss_G: 0.029565 Loss_D_real: -0.031759 Loss_D_fake -0.005916
[566/5000][190/535][58178] Loss_D: -0.024853 Loss_G: 0.016843 Loss_D_real: -0.025843 Loss_D_fake -0.000989
[566/5000][195/535][58179] Loss_D: -0.025540 Loss_G: 0.010841 Loss_D_real: -0.020740 Loss_D_fake 0.004800
[566/5000][200/535][58180] Loss_D: -0.026939 Loss_G: 0.024762 Loss_D_real: -0.023872 Loss_D_fake 0.003067
[566/5000][205/535][58181] Loss_D: -0.026180 Loss_G: 0.027910 Loss_D_real: -0.015752 Loss_D_fake 0.010427
[566/5000][210/535][58182] Loss_D: -0.025567 Loss_G: 0.010738 Loss_D_real: -0.017644 Loss_D_fake 0.007923
[566/5000][215/535][58183] Loss_D: -0.026109 Loss_G: 0.004684 Loss_D_real: -0.012097 Loss_D_fake 0.014011
[566/5000][220/535][58184] Loss_D: -0.025452 Loss_G: 0.013126 Loss_D_real: -0.008406 Loss_D_fake 0.017046
[566/5000][225/535][58185] Loss_D: -0.025657 Loss_G: 0.017097 Loss_D_real: -0.012942 Loss_D_fake 0.012715
[566/5000][230/535][58186] Loss_D: -0.025635 Loss_G: 0.028828 Loss_D_real: -0.036020 Loss_D_fake -0.010385
[566/5000][235/535][58187] Loss_D: -0.027828 Loss_G: 0.010297 Loss_D_real: -0.016996 Loss_D_fake 0.010832
[566/5000][240/535][58188] Loss_D: -0.026729 Loss_G: 0.013996 Loss_D_real: -0.017286 Loss_D_fake 0.009443
[566/5000][245/535][58189] Loss_D: -0.026105 Loss_G: 0.003967 Loss_D_real: -0.019395 Loss_D_fake 0.006709
[566/5000][250/535][58190] Loss_D: -0.025315 Loss_G: 0.002232 Loss_D_real: -0.011484 Loss_D_fake 0.013831
[566/5000][255/535][58191] Loss_D: -0.025977 Loss_G: 0.032043 Loss_D_real: -0.029696 Loss_D_fake -0.003719
[566/5000][260/535][58192] Loss_D: -0.023308 Loss_G: 0.032846 Loss_D_real: -0.027506 Loss_D_fake -0.004198
[566/5000][265/535][58193] Loss_D: -0.024688 Loss_G: 0.016329 Loss_D_real: -0.011110 Loss_D_fake 0.013578
[566/5000][270/535][58194] Loss_D: -0.024555 Loss_G: 0.029813 Loss_D_real: -0.033364 Loss_D_fake -0.008808
[566/5000][275/535][58195] Loss_D: -0.026071 Loss_G: 0.006896 Loss_D_real: -0.011311 Loss_D_fake 0.014760
[566/5000][280/535][58196] Loss_D: -0.025141 Loss_G: 0.021776 Loss_D_real: -0.027566 Loss_D_fake -0.002425
[566/5000][285/535][58197] Loss_D: -0.027252 Loss_G: 0.036887 Loss_D_real: -0.032284 Loss_D_fake -0.005031
[566/5000][290/535][58198] Loss_D: -0.026950 Loss_G: 0.008098 Loss_D_real: -0.007550 Loss_D_fake 0.019400
[566/5000][295/535][58199] Loss_D: -0.024073 Loss_G: 0.019470 Loss_D_real: -0.026294 Loss_D_fake -0.002221
[566/5000][300/535][58200] Loss_D: -0.025560 Loss_G: 0.018631 Loss_D_real: -0.016596 Loss_D_fake 0.008964
[566/5000][305/535][58201] Loss_D: -0.026403 Loss_G: 0.001514 Loss_D_real: -0.009968 Loss_D_fake 0.016434
[566/5000][310/535][58202] Loss_D: -0.025161 Loss_G: 0.011541 Loss_D_real: -0.017874 Loss_D_fake 0.007288
[566/5000][315/535][58203] Loss_D: -0.024100 Loss_G: 0.031795 Loss_D_real: -0.028109 Loss_D_fake -0.004008
[566/5000][320/535][58204] Loss_D: -0.026540 Loss_G: 0.020075 Loss_D_real: -0.020200 Loss_D_fake 0.006340
[566/5000][325/535][58205] Loss_D: -0.024045 Loss_G: 0.008435 Loss_D_real: 0.001455 Loss_D_fake 0.025500
[566/5000][330/535][58206] Loss_D: -0.024921 Loss_G: 0.020657 Loss_D_real: -0.033563 Loss_D_fake -0.008643
[566/5000][335/535][58207] Loss_D: -0.027113 Loss_G: 0.016008 Loss_D_real: -0.021894 Loss_D_fake 0.005219
[566/5000][340/535][58208] Loss_D: -0.026189 Loss_G: 0.010582 Loss_D_real: -0.007841 Loss_D_fake 0.018348
[566/5000][345/535][58209] Loss_D: -0.025098 Loss_G: 0.029252 Loss_D_real: -0.022771 Loss_D_fake 0.002327
[566/5000][350/535][58210] Loss_D: -0.024535 Loss_G: 0.003275 Loss_D_real: -0.009806 Loss_D_fake 0.014729
[566/5000][355/535][58211] Loss_D: -0.023686 Loss_G: 0.020538 Loss_D_real: -0.030518 Loss_D_fake -0.006833
[566/5000][360/535][58212] Loss_D: -0.023979 Loss_G: 0.023759 Loss_D_real: -0.019905 Loss_D_fake 0.004074
[566/5000][365/535][58213] Loss_D: -0.025829 Loss_G: 0.005003 Loss_D_real: -0.004859 Loss_D_fake 0.020971
[566/5000][370/535][58214] Loss_D: -0.025801 Loss_G: -0.005967 Loss_D_real: -0.007944 Loss_D_fake 0.017857
[566/5000][375/535][58215] Loss_D: -0.025536 Loss_G: 0.029106 Loss_D_real: -0.019685 Loss_D_fake 0.005851
[566/5000][380/535][58216] Loss_D: -0.025655 Loss_G: 0.002881 Loss_D_real: -0.004217 Loss_D_fake 0.021438
[566/5000][385/535][58217] Loss_D: -0.025124 Loss_G: 0.012137 Loss_D_real: -0.016271 Loss_D_fake 0.008853
[566/5000][390/535][58218] Loss_D: -0.024029 Loss_G: 0.013091 Loss_D_real: -0.020202 Loss_D_fake 0.003827
[566/5000][395/535][58219] Loss_D: -0.026072 Loss_G: 0.003443 Loss_D_real: -0.008460 Loss_D_fake 0.017612
[566/5000][400/535][58220] Loss_D: -0.025997 Loss_G: 0.003030 Loss_D_real: -0.003536 Loss_D_fake 0.022461
[566/5000][405/535][58221] Loss_D: -0.024196 Loss_G: -0.003147 Loss_D_real: -0.013789 Loss_D_fake 0.010407
[566/5000][410/535][58222] Loss_D: -0.025902 Loss_G: 0.029978 Loss_D_real: -0.017619 Loss_D_fake 0.008283
[566/5000][415/535][58223] Loss_D: -0.026132 Loss_G: -0.003182 Loss_D_real: -0.008294 Loss_D_fake 0.017838
[566/5000][420/535][58224] Loss_D: -0.024956 Loss_G: 0.010660 Loss_D_real: -0.019804 Loss_D_fake 0.005152
[566/5000][425/535][58225] Loss_D: -0.025851 Loss_G: 0.014350 Loss_D_real: -0.019502 Loss_D_fake 0.006349
[566/5000][430/535][58226] Loss_D: -0.026502 Loss_G: 0.017608 Loss_D_real: -0.019376 Loss_D_fake 0.007126
[566/5000][435/535][58227] Loss_D: -0.026185 Loss_G: -0.009046 Loss_D_real: -0.009530 Loss_D_fake 0.016655
[566/5000][440/535][58228] Loss_D: -0.024765 Loss_G: 0.029569 Loss_D_real: -0.019802 Loss_D_fake 0.004963
[566/5000][445/535][58229] Loss_D: -0.025799 Loss_G: 0.015003 Loss_D_real: -0.018386 Loss_D_fake 0.007413
[566/5000][450/535][58230] Loss_D: -0.025192 Loss_G: 0.013921 Loss_D_real: -0.017280 Loss_D_fake 0.007912
[566/5000][455/535][58231] Loss_D: -0.023684 Loss_G: 0.031634 Loss_D_real: -0.022567 Loss_D_fake 0.001118
[566/5000][460/535][58232] Loss_D: -0.026001 Loss_G: 0.013440 Loss_D_real: -0.018855 Loss_D_fake 0.007145
[566/5000][465/535][58233] Loss_D: -0.025559 Loss_G: 0.010534 Loss_D_real: -0.015800 Loss_D_fake 0.009758
[566/5000][470/535][58234] Loss_D: -0.025497 Loss_G: 0.005755 Loss_D_real: -0.011677 Loss_D_fake 0.013819
[566/5000][475/535][58235] Loss_D: -0.026165 Loss_G: 0.013373 Loss_D_real: -0.008864 Loss_D_fake 0.017302
[566/5000][480/535][58236] Loss_D: -0.025993 Loss_G: 0.006190 Loss_D_real: -0.015074 Loss_D_fake 0.010919
[566/5000][485/535][58237] Loss_D: -0.024750 Loss_G: 0.020088 Loss_D_real: -0.020402 Loss_D_fake 0.004349
[566/5000][490/535][58238] Loss_D: -0.024778 Loss_G: 0.038989 Loss_D_real: -0.025103 Loss_D_fake -0.000325
[566/5000][495/535][58239] Loss_D: -0.024117 Loss_G: -0.017383 Loss_D_real: 0.000844 Loss_D_fake 0.024961
[566/5000][500/535][58240] Loss_D: -0.026244 Loss_G: 0.018776 Loss_D_real: -0.027812 Loss_D_fake -0.001568
[566/5000][505/535][58241] Loss_D: -0.026491 Loss_G: 0.018392 Loss_D_real: -0.021776 Loss_D_fake 0.004714
[566/5000][510/535][58242] Loss_D: -0.025373 Loss_G: 0.028190 Loss_D_real: -0.025703 Loss_D_fake -0.000330
[566/5000][515/535][58243] Loss_D: -0.024791 Loss_G: -0.015028 Loss_D_real: 0.001069 Loss_D_fake 0.025860
[566/5000][520/535][58244] Loss_D: -0.023591 Loss_G: 0.015067 Loss_D_real: -0.029669 Loss_D_fake -0.006078
[566/5000][525/535][58245] Loss_D: -0.024361 Loss_G: 0.004173 Loss_D_real: -0.014957 Loss_D_fake 0.009404
[566/5000][530/535][58246] Loss_D: -0.025630 Loss_G: 0.001814 Loss_D_real: -0.005562 Loss_D_fake 0.020068
[566/5000][535/535][58247] Loss_D: -0.027505 Loss_G: 0.003586 Loss_D_real: -0.018266 Loss_D_fake 0.009238
[567/5000][5/535][58248] Loss_D: -0.026870 Loss_G: 0.016573 Loss_D_real: -0.023353 Loss_D_fake 0.003517
[567/5000][10/535][58249] Loss_D: -0.026123 Loss_G: 0.008392 Loss_D_real: -0.014419 Loss_D_fake 0.011704
[567/5000][15/535][58250] Loss_D: -0.025003 Loss_G: -0.000741 Loss_D_real: 0.005969 Loss_D_fake 0.030972
[567/5000][20/535][58251] Loss_D: -0.026701 Loss_G: 0.003502 Loss_D_real: -0.013534 Loss_D_fake 0.013167
[567/5000][25/535][58252] Loss_D: -0.024572 Loss_G: 0.018724 Loss_D_real: -0.013312 Loss_D_fake 0.011260
[567/5000][30/535][58253] Loss_D: -0.022643 Loss_G: 0.041599 Loss_D_real: -0.036576 Loss_D_fake -0.013933
[567/5000][35/535][58254] Loss_D: -0.025534 Loss_G: 0.016998 Loss_D_real: -0.016023 Loss_D_fake 0.009511
[567/5000][40/535][58255] Loss_D: -0.025203 Loss_G: 0.012175 Loss_D_real: -0.021280 Loss_D_fake 0.003923
[567/5000][45/535][58256] Loss_D: -0.026003 Loss_G: -0.004337 Loss_D_real: -0.012182 Loss_D_fake 0.013820
[567/5000][50/535][58257] Loss_D: -0.025737 Loss_G: 0.006334 Loss_D_real: -0.006599 Loss_D_fake 0.019137
[567/5000][55/535][58258] Loss_D: -0.024161 Loss_G: 0.010565 Loss_D_real: -0.021018 Loss_D_fake 0.003143
[567/5000][60/535][58259] Loss_D: -0.027168 Loss_G: -0.001139 Loss_D_real: -0.005395 Loss_D_fake 0.021774
[567/5000][65/535][58260] Loss_D: -0.025819 Loss_G: 0.022909 Loss_D_real: -0.033011 Loss_D_fake -0.007193
[567/5000][70/535][58261] Loss_D: -0.025744 Loss_G: 0.010434 Loss_D_real: -0.021042 Loss_D_fake 0.004703
[567/5000][75/535][58262] Loss_D: -0.025030 Loss_G: 0.014930 Loss_D_real: -0.013040 Loss_D_fake 0.011990
[567/5000][80/535][58263] Loss_D: -0.026155 Loss_G: 0.013004 Loss_D_real: -0.022502 Loss_D_fake 0.003653
[567/5000][85/535][58264] Loss_D: -0.025741 Loss_G: 0.014418 Loss_D_real: -0.024277 Loss_D_fake 0.001464
[567/5000][90/535][58265] Loss_D: -0.023426 Loss_G: 0.036092 Loss_D_real: -0.038177 Loss_D_fake -0.014751
[567/5000][95/535][58266] Loss_D: -0.025587 Loss_G: -0.003729 Loss_D_real: -0.006119 Loss_D_fake 0.019468
[567/5000][100/535][58267] Loss_D: -0.025330 Loss_G: 0.022757 Loss_D_real: -0.015555 Loss_D_fake 0.009775
[567/5000][105/535][58268] Loss_D: -0.026930 Loss_G: 0.008443 Loss_D_real: -0.006230 Loss_D_fake 0.020700
[567/5000][110/535][58269] Loss_D: -0.025989 Loss_G: 0.008327 Loss_D_real: -0.015694 Loss_D_fake 0.010294
[567/5000][115/535][58270] Loss_D: -0.027147 Loss_G: 0.004036 Loss_D_real: -0.018996 Loss_D_fake 0.008151
[567/5000][120/535][58271] Loss_D: -0.025156 Loss_G: 0.024908 Loss_D_real: -0.027193 Loss_D_fake -0.002037
[567/5000][125/535][58272] Loss_D: -0.025987 Loss_G: 0.013929 Loss_D_real: -0.027725 Loss_D_fake -0.001738
[567/5000][130/535][58273] Loss_D: -0.025408 Loss_G: 0.021865 Loss_D_real: -0.033308 Loss_D_fake -0.007900
[567/5000][135/535][58274] Loss_D: -0.025740 Loss_G: -0.001522 Loss_D_real: -0.005548 Loss_D_fake 0.020192
[567/5000][140/535][58275] Loss_D: -0.025200 Loss_G: 0.004551 Loss_D_real: -0.010542 Loss_D_fake 0.014659
[567/5000][145/535][58276] Loss_D: -0.025945 Loss_G: 0.016670 Loss_D_real: -0.025749 Loss_D_fake 0.000196
[567/5000][150/535][58277] Loss_D: -0.024560 Loss_G: -0.009080 Loss_D_real: -0.001214 Loss_D_fake 0.023346
[567/5000][155/535][58278] Loss_D: -0.024536 Loss_G: 0.028144 Loss_D_real: -0.028654 Loss_D_fake -0.004118
[567/5000][160/535][58279] Loss_D: -0.025872 Loss_G: -0.001314 Loss_D_real: -0.000319 Loss_D_fake 0.025554
[567/5000][165/535][58280] Loss_D: -0.024152 Loss_G: -0.012517 Loss_D_real: -0.004070 Loss_D_fake 0.020082
[567/5000][170/535][58281] Loss_D: -0.024929 Loss_G: 0.023620 Loss_D_real: -0.022228 Loss_D_fake 0.002701
[567/5000][175/535][58282] Loss_D: -0.027413 Loss_G: 0.016286 Loss_D_real: -0.017634 Loss_D_fake 0.009779
[567/5000][180/535][58283] Loss_D: -0.024438 Loss_G: 0.032590 Loss_D_real: -0.029773 Loss_D_fake -0.005335
[567/5000][185/535][58284] Loss_D: -0.025924 Loss_G: 0.024510 Loss_D_real: -0.026038 Loss_D_fake -0.000114
[567/5000][190/535][58285] Loss_D: -0.026192 Loss_G: -0.009379 Loss_D_real: -0.005375 Loss_D_fake 0.020817
[567/5000][195/535][58286] Loss_D: -0.024696 Loss_G: 0.007153 Loss_D_real: -0.017172 Loss_D_fake 0.007523
[567/5000][200/535][58287] Loss_D: -0.024911 Loss_G: 0.010855 Loss_D_real: -0.009547 Loss_D_fake 0.015364
[567/5000][205/535][58288] Loss_D: -0.024656 Loss_G: 0.031331 Loss_D_real: -0.029524 Loss_D_fake -0.004868
[567/5000][210/535][58289] Loss_D: -0.026763 Loss_G: 0.000434 Loss_D_real: -0.006176 Loss_D_fake 0.020587
[567/5000][215/535][58290] Loss_D: -0.025171 Loss_G: 0.011286 Loss_D_real: -0.024658 Loss_D_fake 0.000513
[567/5000][220/535][58291] Loss_D: -0.027500 Loss_G: 0.018040 Loss_D_real: -0.023913 Loss_D_fake 0.003587
[567/5000][225/535][58292] Loss_D: -0.026415 Loss_G: 0.012500 Loss_D_real: -0.009275 Loss_D_fake 0.017140
[567/5000][230/535][58293] Loss_D: -0.026915 Loss_G: 0.014804 Loss_D_real: -0.020085 Loss_D_fake 0.006830
[567/5000][235/535][58294] Loss_D: -0.027396 Loss_G: -0.000950 Loss_D_real: -0.006753 Loss_D_fake 0.020644
[567/5000][240/535][58295] Loss_D: -0.026290 Loss_G: 0.018930 Loss_D_real: -0.012455 Loss_D_fake 0.013835
[567/5000][245/535][58296] Loss_D: -0.027573 Loss_G: 0.015650 Loss_D_real: -0.020876 Loss_D_fake 0.006697
[567/5000][250/535][58297] Loss_D: -0.023884 Loss_G: 0.033826 Loss_D_real: -0.034962 Loss_D_fake -0.011079
[567/5000][255/535][58298] Loss_D: -0.025697 Loss_G: -0.003362 Loss_D_real: -0.001541 Loss_D_fake 0.024156
[567/5000][260/535][58299] Loss_D: -0.025896 Loss_G: 0.015260 Loss_D_real: -0.019480 Loss_D_fake 0.006416
[567/5000][265/535][58300] Loss_D: -0.025211 Loss_G: 0.008701 Loss_D_real: -0.011740 Loss_D_fake 0.013470
[567/5000][270/535][58301] Loss_D: -0.024063 Loss_G: 0.017831 Loss_D_real: -0.013128 Loss_D_fake 0.010935
[567/5000][275/535][58302] Loss_D: -0.023965 Loss_G: -0.011529 Loss_D_real: -0.005733 Loss_D_fake 0.018232
[567/5000][280/535][58303] Loss_D: -0.024923 Loss_G: 0.032309 Loss_D_real: -0.024977 Loss_D_fake -0.000054
[567/5000][285/535][58304] Loss_D: -0.024458 Loss_G: 0.009747 Loss_D_real: -0.016435 Loss_D_fake 0.008023
[567/5000][290/535][58305] Loss_D: -0.025304 Loss_G: 0.027246 Loss_D_real: -0.028558 Loss_D_fake -0.003254
[567/5000][295/535][58306] Loss_D: -0.025126 Loss_G: -0.006917 Loss_D_real: -0.008827 Loss_D_fake 0.016299
[567/5000][300/535][58307] Loss_D: -0.026131 Loss_G: 0.013184 Loss_D_real: -0.019839 Loss_D_fake 0.006291
[567/5000][305/535][58308] Loss_D: -0.024307 Loss_G: 0.034912 Loss_D_real: -0.031328 Loss_D_fake -0.007021
[567/5000][310/535][58309] Loss_D: -0.026732 Loss_G: 0.012099 Loss_D_real: -0.017054 Loss_D_fake 0.009678
[567/5000][315/535][58310] Loss_D: -0.026247 Loss_G: 0.024892 Loss_D_real: -0.021753 Loss_D_fake 0.004494
[567/5000][320/535][58311] Loss_D: -0.025844 Loss_G: 0.012804 Loss_D_real: -0.012155 Loss_D_fake 0.013689
[567/5000][325/535][58312] Loss_D: -0.026025 Loss_G: 0.022884 Loss_D_real: -0.025141 Loss_D_fake 0.000885
[567/5000][330/535][58313] Loss_D: -0.025324 Loss_G: 0.013874 Loss_D_real: -0.018426 Loss_D_fake 0.006898
[567/5000][335/535][58314] Loss_D: -0.025170 Loss_G: 0.020847 Loss_D_real: -0.025976 Loss_D_fake -0.000806
[567/5000][340/535][58315] Loss_D: -0.025729 Loss_G: 0.003179 Loss_D_real: -0.000187 Loss_D_fake 0.025543
[567/5000][345/535][58316] Loss_D: -0.025200 Loss_G: 0.014055 Loss_D_real: -0.016205 Loss_D_fake 0.008995
[567/5000][350/535][58317] Loss_D: -0.027075 Loss_G: -0.007013 Loss_D_real: -0.001075 Loss_D_fake 0.026001
[567/5000][355/535][58318] Loss_D: -0.025527 Loss_G: 0.016986 Loss_D_real: -0.014745 Loss_D_fake 0.010782
[567/5000][360/535][58319] Loss_D: -0.024303 Loss_G: 0.029142 Loss_D_real: -0.024317 Loss_D_fake -0.000014
[567/5000][365/535][58320] Loss_D: -0.025888 Loss_G: 0.000312 Loss_D_real: 0.001845 Loss_D_fake 0.027733
[567/5000][370/535][58321] Loss_D: -0.023995 Loss_G: 0.014090 Loss_D_real: -0.020514 Loss_D_fake 0.003482
[567/5000][375/535][58322] Loss_D: -0.025146 Loss_G: 0.017579 Loss_D_real: -0.016334 Loss_D_fake 0.008812
[567/5000][380/535][58323] Loss_D: -0.026844 Loss_G: 0.023677 Loss_D_real: -0.026469 Loss_D_fake 0.000375
[567/5000][385/535][58324] Loss_D: -0.025991 Loss_G: 0.003701 Loss_D_real: -0.018772 Loss_D_fake 0.007220
[567/5000][390/535][58325] Loss_D: -0.026377 Loss_G: 0.017069 Loss_D_real: -0.022845 Loss_D_fake 0.003533
[567/5000][395/535][58326] Loss_D: -0.024476 Loss_G: 0.003109 Loss_D_real: -0.015458 Loss_D_fake 0.009018
[567/5000][400/535][58327] Loss_D: -0.026790 Loss_G: 0.034756 Loss_D_real: -0.029935 Loss_D_fake -0.003144
[567/5000][405/535][58328] Loss_D: -0.025791 Loss_G: -0.000946 Loss_D_real: -0.012597 Loss_D_fake 0.013194
[567/5000][410/535][58329] Loss_D: -0.026016 Loss_G: 0.023276 Loss_D_real: -0.024250 Loss_D_fake 0.001765
[567/5000][415/535][58330] Loss_D: -0.025643 Loss_G: 0.002242 Loss_D_real: 0.000021 Loss_D_fake 0.025663
[567/5000][420/535][58331] Loss_D: -0.025366 Loss_G: 0.011421 Loss_D_real: -0.014766 Loss_D_fake 0.010600
[567/5000][425/535][58332] Loss_D: -0.025096 Loss_G: 0.006934 Loss_D_real: -0.020345 Loss_D_fake 0.004751
[567/5000][430/535][58333] Loss_D: -0.025589 Loss_G: 0.030178 Loss_D_real: -0.029782 Loss_D_fake -0.004193
[567/5000][435/535][58334] Loss_D: -0.027701 Loss_G: 0.010448 Loss_D_real: -0.024391 Loss_D_fake 0.003310
[567/5000][440/535][58335] Loss_D: -0.026119 Loss_G: 0.020063 Loss_D_real: -0.019007 Loss_D_fake 0.007112
[567/5000][445/535][58336] Loss_D: -0.024362 Loss_G: 0.031534 Loss_D_real: -0.032710 Loss_D_fake -0.008348
[567/5000][450/535][58337] Loss_D: -0.026356 Loss_G: 0.001597 Loss_D_real: -0.001241 Loss_D_fake 0.025114
[567/5000][455/535][58338] Loss_D: -0.024483 Loss_G: 0.026685 Loss_D_real: -0.032738 Loss_D_fake -0.008255
[567/5000][460/535][58339] Loss_D: -0.027146 Loss_G: -0.010561 Loss_D_real: -0.002883 Loss_D_fake 0.024264
[567/5000][465/535][58340] Loss_D: -0.024074 Loss_G: 0.027935 Loss_D_real: -0.022897 Loss_D_fake 0.001177
[567/5000][470/535][58341] Loss_D: -0.025609 Loss_G: -0.007292 Loss_D_real: -0.005169 Loss_D_fake 0.020440
[567/5000][475/535][58342] Loss_D: -0.025956 Loss_G: 0.008120 Loss_D_real: -0.007234 Loss_D_fake 0.018721
[567/5000][480/535][58343] Loss_D: -0.025563 Loss_G: 0.014671 Loss_D_real: -0.023569 Loss_D_fake 0.001994
[567/5000][485/535][58344] Loss_D: -0.025096 Loss_G: 0.005207 Loss_D_real: -0.016881 Loss_D_fake 0.008214
[567/5000][490/535][58345] Loss_D: -0.025160 Loss_G: 0.026668 Loss_D_real: -0.031690 Loss_D_fake -0.006530
[567/5000][495/535][58346] Loss_D: -0.026276 Loss_G: 0.023684 Loss_D_real: -0.030108 Loss_D_fake -0.003832
[567/5000][500/535][58347] Loss_D: -0.025091 Loss_G: 0.012575 Loss_D_real: -0.020447 Loss_D_fake 0.004644
[567/5000][505/535][58348] Loss_D: -0.023123 Loss_G: -0.012547 Loss_D_real: -0.000642 Loss_D_fake 0.022481
[567/5000][510/535][58349] Loss_D: -0.024708 Loss_G: 0.012468 Loss_D_real: -0.022706 Loss_D_fake 0.002002
[567/5000][515/535][58350] Loss_D: -0.027184 Loss_G: 0.009745 Loss_D_real: -0.022242 Loss_D_fake 0.004942
[567/5000][520/535][58351] Loss_D: -0.023923 Loss_G: -0.002403 Loss_D_real: 0.001671 Loss_D_fake 0.025593
[567/5000][525/535][58352] Loss_D: -0.024901 Loss_G: -0.002446 Loss_D_real: -0.015328 Loss_D_fake 0.009573
[567/5000][530/535][58353] Loss_D: -0.025434 Loss_G: 0.007370 Loss_D_real: -0.017091 Loss_D_fake 0.008343
[567/5000][535/535][58354] Loss_D: -0.022511 Loss_G: -0.019030 Loss_D_real: -0.016828 Loss_D_fake 0.005683
[568/5000][5/535][58355] Loss_D: -0.024243 Loss_G: 0.029826 Loss_D_real: -0.027121 Loss_D_fake -0.002878
[568/5000][10/535][58356] Loss_D: -0.026726 Loss_G: -0.003059 Loss_D_real: -0.011633 Loss_D_fake 0.015092
[568/5000][15/535][58357] Loss_D: -0.026288 Loss_G: 0.019534 Loss_D_real: -0.019300 Loss_D_fake 0.006988
[568/5000][20/535][58358] Loss_D: -0.024345 Loss_G: 0.009613 Loss_D_real: -0.025687 Loss_D_fake -0.001342
[568/5000][25/535][58359] Loss_D: -0.025564 Loss_G: 0.017391 Loss_D_real: -0.030417 Loss_D_fake -0.004853
[568/5000][30/535][58360] Loss_D: -0.025327 Loss_G: 0.010762 Loss_D_real: -0.013186 Loss_D_fake 0.012141
[568/5000][35/535][58361] Loss_D: -0.024323 Loss_G: 0.004592 Loss_D_real: -0.015486 Loss_D_fake 0.008837
[568/5000][40/535][58362] Loss_D: -0.024816 Loss_G: 0.024321 Loss_D_real: -0.030122 Loss_D_fake -0.005306
[568/5000][45/535][58363] Loss_D: -0.025252 Loss_G: 0.006461 Loss_D_real: -0.012597 Loss_D_fake 0.012655
[568/5000][50/535][58364] Loss_D: -0.024918 Loss_G: 0.001808 Loss_D_real: -0.007544 Loss_D_fake 0.017375
[568/5000][55/535][58365] Loss_D: -0.025948 Loss_G: -0.004006 Loss_D_real: -0.008836 Loss_D_fake 0.017111
[568/5000][60/535][58366] Loss_D: -0.022771 Loss_G: 0.021347 Loss_D_real: -0.034714 Loss_D_fake -0.011943
[568/5000][65/535][58367] Loss_D: -0.025508 Loss_G: 0.038459 Loss_D_real: -0.029837 Loss_D_fake -0.004329
[568/5000][70/535][58368] Loss_D: -0.025143 Loss_G: 0.006133 Loss_D_real: -0.008855 Loss_D_fake 0.016288
[568/5000][75/535][58369] Loss_D: -0.025414 Loss_G: 0.010354 Loss_D_real: -0.019908 Loss_D_fake 0.005506
[568/5000][80/535][58370] Loss_D: -0.025104 Loss_G: 0.018405 Loss_D_real: -0.022638 Loss_D_fake 0.002467
[568/5000][85/535][58371] Loss_D: -0.025747 Loss_G: -0.003226 Loss_D_real: -0.014174 Loss_D_fake 0.011573
[568/5000][90/535][58372] Loss_D: -0.024770 Loss_G: 0.012437 Loss_D_real: -0.018817 Loss_D_fake 0.005953
[568/5000][95/535][58373] Loss_D: -0.024121 Loss_G: 0.027263 Loss_D_real: -0.029694 Loss_D_fake -0.005573
[568/5000][100/535][58374] Loss_D: -0.024963 Loss_G: 0.006292 Loss_D_real: -0.008618 Loss_D_fake 0.016345
[568/5000][105/535][58375] Loss_D: -0.024492 Loss_G: 0.020387 Loss_D_real: -0.020437 Loss_D_fake 0.004055
[568/5000][110/535][58376] Loss_D: -0.024288 Loss_G: 0.012022 Loss_D_real: -0.018241 Loss_D_fake 0.006047
[568/5000][115/535][58377] Loss_D: -0.024914 Loss_G: 0.017743 Loss_D_real: -0.023996 Loss_D_fake 0.000918
[568/5000][120/535][58378] Loss_D: -0.025293 Loss_G: 0.012596 Loss_D_real: -0.009015 Loss_D_fake 0.016278
[568/5000][125/535][58379] Loss_D: -0.026366 Loss_G: 0.007109 Loss_D_real: -0.005250 Loss_D_fake 0.021117
[568/5000][130/535][58380] Loss_D: -0.023342 Loss_G: 0.030524 Loss_D_real: -0.034696 Loss_D_fake -0.011354
[568/5000][135/535][58381] Loss_D: -0.024445 Loss_G: 0.033947 Loss_D_real: -0.029094 Loss_D_fake -0.004648
[568/5000][140/535][58382] Loss_D: -0.026263 Loss_G: -0.008213 Loss_D_real: -0.002827 Loss_D_fake 0.023436
[568/5000][145/535][58383] Loss_D: -0.025695 Loss_G: 0.010297 Loss_D_real: -0.023677 Loss_D_fake 0.002018
[568/5000][150/535][58384] Loss_D: -0.025145 Loss_G: 0.005617 Loss_D_real: -0.017509 Loss_D_fake 0.007636
[568/5000][155/535][58385] Loss_D: -0.025262 Loss_G: -0.007704 Loss_D_real: -0.005369 Loss_D_fake 0.019893
[568/5000][160/535][58386] Loss_D: -0.024964 Loss_G: -0.003530 Loss_D_real: 0.000039 Loss_D_fake 0.025003
[568/5000][165/535][58387] Loss_D: -0.024680 Loss_G: 0.031728 Loss_D_real: -0.023085 Loss_D_fake 0.001595
[568/5000][170/535][58388] Loss_D: -0.026362 Loss_G: 0.002979 Loss_D_real: -0.009360 Loss_D_fake 0.017002
[568/5000][175/535][58389] Loss_D: -0.026655 Loss_G: 0.002781 Loss_D_real: -0.005912 Loss_D_fake 0.020743
[568/5000][180/535][58390] Loss_D: -0.025141 Loss_G: 0.019635 Loss_D_real: -0.029450 Loss_D_fake -0.004309
[568/5000][185/535][58391] Loss_D: -0.025866 Loss_G: 0.032113 Loss_D_real: -0.033778 Loss_D_fake -0.007912
[568/5000][190/535][58392] Loss_D: -0.025604 Loss_G: -0.008584 Loss_D_real: 0.003072 Loss_D_fake 0.028676
[568/5000][195/535][58393] Loss_D: -0.026582 Loss_G: 0.020551 Loss_D_real: -0.018037 Loss_D_fake 0.008545
[568/5000][200/535][58394] Loss_D: -0.024996 Loss_G: -0.007244 Loss_D_real: 0.003472 Loss_D_fake 0.028467
[568/5000][205/535][58395] Loss_D: -0.026399 Loss_G: 0.032071 Loss_D_real: -0.032741 Loss_D_fake -0.006342
[568/5000][210/535][58396] Loss_D: -0.025286 Loss_G: -0.002729 Loss_D_real: -0.003655 Loss_D_fake 0.021631
[568/5000][215/535][58397] Loss_D: -0.025490 Loss_G: 0.022309 Loss_D_real: -0.018860 Loss_D_fake 0.006630
[568/5000][220/535][58398] Loss_D: -0.026398 Loss_G: 0.016149 Loss_D_real: -0.012307 Loss_D_fake 0.014091
[568/5000][225/535][58399] Loss_D: -0.025374 Loss_G: 0.010874 Loss_D_real: -0.019729 Loss_D_fake 0.005645
[568/5000][230/535][58400] Loss_D: -0.023064 Loss_G: 0.030079 Loss_D_real: -0.027269 Loss_D_fake -0.004205
[568/5000][235/535][58401] Loss_D: -0.025347 Loss_G: -0.003457 Loss_D_real: -0.005604 Loss_D_fake 0.019743
[568/5000][240/535][58402] Loss_D: -0.026259 Loss_G: 0.015864 Loss_D_real: -0.018790 Loss_D_fake 0.007469
[568/5000][245/535][58403] Loss_D: -0.026206 Loss_G: 0.003572 Loss_D_real: -0.007083 Loss_D_fake 0.019123
[568/5000][250/535][58404] Loss_D: -0.025774 Loss_G: 0.012079 Loss_D_real: -0.005224 Loss_D_fake 0.020550
[568/5000][255/535][58405] Loss_D: -0.026159 Loss_G: 0.015761 Loss_D_real: -0.020440 Loss_D_fake 0.005719
[568/5000][260/535][58406] Loss_D: -0.026287 Loss_G: 0.011434 Loss_D_real: -0.019832 Loss_D_fake 0.006454
[568/5000][265/535][58407] Loss_D: -0.026188 Loss_G: 0.011099 Loss_D_real: -0.021495 Loss_D_fake 0.004693
[568/5000][270/535][58408] Loss_D: -0.026824 Loss_G: 0.015972 Loss_D_real: -0.020600 Loss_D_fake 0.006224
[568/5000][275/535][58409] Loss_D: -0.028068 Loss_G: 0.005802 Loss_D_real: -0.006053 Loss_D_fake 0.022015
[568/5000][280/535][58410] Loss_D: -0.025461 Loss_G: -0.000253 Loss_D_real: -0.010580 Loss_D_fake 0.014880
[568/5000][285/535][58411] Loss_D: -0.025072 Loss_G: 0.006885 Loss_D_real: -0.017166 Loss_D_fake 0.007906
[568/5000][290/535][58412] Loss_D: -0.024075 Loss_G: 0.032800 Loss_D_real: -0.036284 Loss_D_fake -0.012210
[568/5000][295/535][58413] Loss_D: -0.026379 Loss_G: 0.006760 Loss_D_real: -0.005392 Loss_D_fake 0.020987
[568/5000][300/535][58414] Loss_D: -0.026244 Loss_G: 0.004017 Loss_D_real: -0.015296 Loss_D_fake 0.010948
[568/5000][305/535][58415] Loss_D: -0.026698 Loss_G: 0.037769 Loss_D_real: -0.031752 Loss_D_fake -0.005055
[568/5000][310/535][58416] Loss_D: -0.025122 Loss_G: 0.004827 Loss_D_real: -0.015033 Loss_D_fake 0.010089
[568/5000][315/535][58417] Loss_D: -0.025383 Loss_G: 0.018229 Loss_D_real: -0.020448 Loss_D_fake 0.004934
[568/5000][320/535][58418] Loss_D: -0.026040 Loss_G: 0.020124 Loss_D_real: -0.019321 Loss_D_fake 0.006720
[568/5000][325/535][58419] Loss_D: -0.026181 Loss_G: 0.019751 Loss_D_real: -0.020330 Loss_D_fake 0.005851
[568/5000][330/535][58420] Loss_D: -0.024587 Loss_G: 0.029343 Loss_D_real: -0.040345 Loss_D_fake -0.015758
[568/5000][335/535][58421] Loss_D: -0.025250 Loss_G: 0.024046 Loss_D_real: -0.021069 Loss_D_fake 0.004180
[568/5000][340/535][58422] Loss_D: -0.025692 Loss_G: 0.028834 Loss_D_real: -0.033436 Loss_D_fake -0.007743
[568/5000][345/535][58423] Loss_D: -0.025912 Loss_G: -0.003448 Loss_D_real: -0.002654 Loss_D_fake 0.023258
[568/5000][350/535][58424] Loss_D: -0.025689 Loss_G: 0.002151 Loss_D_real: -0.002522 Loss_D_fake 0.023167
[568/5000][355/535][58425] Loss_D: -0.024741 Loss_G: 0.015118 Loss_D_real: -0.024118 Loss_D_fake 0.000623
[568/5000][360/535][58426] Loss_D: -0.024670 Loss_G: 0.012982 Loss_D_real: -0.017275 Loss_D_fake 0.007395
[568/5000][365/535][58427] Loss_D: -0.025694 Loss_G: 0.017725 Loss_D_real: -0.027234 Loss_D_fake -0.001540
[568/5000][370/535][58428] Loss_D: -0.025044 Loss_G: 0.023816 Loss_D_real: -0.016682 Loss_D_fake 0.008362
[568/5000][375/535][58429] Loss_D: -0.024561 Loss_G: 0.025494 Loss_D_real: -0.027218 Loss_D_fake -0.002657
[568/5000][380/535][58430] Loss_D: -0.025326 Loss_G: 0.004886 Loss_D_real: -0.009318 Loss_D_fake 0.016008
[568/5000][385/535][58431] Loss_D: -0.024657 Loss_G: -0.008192 Loss_D_real: -0.005470 Loss_D_fake 0.019188
[568/5000][390/535][58432] Loss_D: -0.025599 Loss_G: 0.003383 Loss_D_real: -0.007081 Loss_D_fake 0.018518
[568/5000][395/535][58433] Loss_D: -0.025901 Loss_G: -0.009209 Loss_D_real: -0.006908 Loss_D_fake 0.018994
[568/5000][400/535][58434] Loss_D: -0.024607 Loss_G: 0.008538 Loss_D_real: -0.020087 Loss_D_fake 0.004519
[568/5000][405/535][58435] Loss_D: -0.027312 Loss_G: 0.003186 Loss_D_real: -0.006061 Loss_D_fake 0.021251
[568/5000][410/535][58436] Loss_D: -0.025614 Loss_G: 0.026857 Loss_D_real: -0.030644 Loss_D_fake -0.005030
[568/5000][415/535][58437] Loss_D: -0.025131 Loss_G: -0.013585 Loss_D_real: -0.000232 Loss_D_fake 0.024898
[568/5000][420/535][58438] Loss_D: -0.024612 Loss_G: 0.006647 Loss_D_real: -0.018122 Loss_D_fake 0.006490
[568/5000][425/535][58439] Loss_D: -0.024255 Loss_G: -0.020710 Loss_D_real: -0.000484 Loss_D_fake 0.023771
[568/5000][430/535][58440] Loss_D: -0.023674 Loss_G: 0.030476 Loss_D_real: -0.026990 Loss_D_fake -0.003316
[568/5000][435/535][58441] Loss_D: -0.025206 Loss_G: 0.017757 Loss_D_real: -0.021302 Loss_D_fake 0.003904
[568/5000][440/535][58442] Loss_D: -0.026075 Loss_G: 0.014974 Loss_D_real: -0.018517 Loss_D_fake 0.007558
[568/5000][445/535][58443] Loss_D: -0.025779 Loss_G: 0.000911 Loss_D_real: 0.000440 Loss_D_fake 0.026219
[568/5000][450/535][58444] Loss_D: -0.024666 Loss_G: 0.021025 Loss_D_real: -0.019304 Loss_D_fake 0.005362
[568/5000][455/535][58445] Loss_D: -0.024843 Loss_G: 0.002910 Loss_D_real: -0.003712 Loss_D_fake 0.021131
[568/5000][460/535][58446] Loss_D: -0.026252 Loss_G: 0.034462 Loss_D_real: -0.019968 Loss_D_fake 0.006284
[568/5000][465/535][58447] Loss_D: -0.023960 Loss_G: 0.000023 Loss_D_real: -0.003185 Loss_D_fake 0.020775
[568/5000][470/535][58448] Loss_D: -0.024849 Loss_G: 0.027558 Loss_D_real: -0.022252 Loss_D_fake 0.002597
[568/5000][475/535][58449] Loss_D: -0.026142 Loss_G: 0.013995 Loss_D_real: -0.018051 Loss_D_fake 0.008091
[568/5000][480/535][58450] Loss_D: -0.026149 Loss_G: 0.004513 Loss_D_real: -0.006508 Loss_D_fake 0.019641
[568/5000][485/535][58451] Loss_D: -0.024873 Loss_G: 0.007386 Loss_D_real: -0.010809 Loss_D_fake 0.014064
[568/5000][490/535][58452] Loss_D: -0.027437 Loss_G: 0.016443 Loss_D_real: -0.024044 Loss_D_fake 0.003393
[568/5000][495/535][58453] Loss_D: -0.025688 Loss_G: 0.041784 Loss_D_real: -0.035431 Loss_D_fake -0.009743
[568/5000][500/535][58454] Loss_D: -0.026316 Loss_G: -0.000046 Loss_D_real: -0.008335 Loss_D_fake 0.017981
[568/5000][505/535][58455] Loss_D: -0.026118 Loss_G: 0.017776 Loss_D_real: -0.021193 Loss_D_fake 0.004924
[568/5000][510/535][58456] Loss_D: -0.026153 Loss_G: 0.015591 Loss_D_real: -0.021081 Loss_D_fake 0.005072
[568/5000][515/535][58457] Loss_D: -0.026936 Loss_G: 0.032446 Loss_D_real: -0.027151 Loss_D_fake -0.000215
[568/5000][520/535][58458] Loss_D: -0.024988 Loss_G: -0.011719 Loss_D_real: 0.007594 Loss_D_fake 0.032582
[568/5000][525/535][58459] Loss_D: -0.024315 Loss_G: 0.007001 Loss_D_real: -0.019349 Loss_D_fake 0.004967
[568/5000][530/535][58460] Loss_D: -0.026640 Loss_G: 0.016090 Loss_D_real: -0.034843 Loss_D_fake -0.008203
[568/5000][535/535][58461] Loss_D: -0.025979 Loss_G: 0.015789 Loss_D_real: -0.023032 Loss_D_fake 0.002947
[569/5000][5/535][58462] Loss_D: -0.025960 Loss_G: 0.033312 Loss_D_real: -0.023100 Loss_D_fake 0.002860
[569/5000][10/535][58463] Loss_D: -0.025926 Loss_G: 0.018904 Loss_D_real: -0.018764 Loss_D_fake 0.007162
[569/5000][15/535][58464] Loss_D: -0.025549 Loss_G: -0.010574 Loss_D_real: 0.003804 Loss_D_fake 0.029354
[569/5000][20/535][58465] Loss_D: -0.024809 Loss_G: 0.026653 Loss_D_real: -0.027101 Loss_D_fake -0.002293
[569/5000][25/535][58466] Loss_D: -0.025423 Loss_G: 0.008171 Loss_D_real: -0.014429 Loss_D_fake 0.010994
[569/5000][30/535][58467] Loss_D: -0.025537 Loss_G: 0.023974 Loss_D_real: -0.025266 Loss_D_fake 0.000271
[569/5000][35/535][58468] Loss_D: -0.025730 Loss_G: 0.010680 Loss_D_real: -0.013379 Loss_D_fake 0.012351
[569/5000][40/535][58469] Loss_D: -0.025235 Loss_G: -0.005102 Loss_D_real: -0.027270 Loss_D_fake -0.002035
[569/5000][45/535][58470] Loss_D: -0.024149 Loss_G: 0.023094 Loss_D_real: -0.023188 Loss_D_fake 0.000962
[569/5000][50/535][58471] Loss_D: -0.024118 Loss_G: -0.001042 Loss_D_real: -0.000101 Loss_D_fake 0.024017
[569/5000][55/535][58472] Loss_D: -0.025376 Loss_G: 0.022843 Loss_D_real: -0.024600 Loss_D_fake 0.000777
[569/5000][60/535][58473] Loss_D: -0.025273 Loss_G: 0.002358 Loss_D_real: -0.006129 Loss_D_fake 0.019144
[569/5000][65/535][58474] Loss_D: -0.024826 Loss_G: 0.017726 Loss_D_real: -0.023174 Loss_D_fake 0.001652
[569/5000][70/535][58475] Loss_D: -0.026771 Loss_G: -0.005688 Loss_D_real: -0.020679 Loss_D_fake 0.006093
[569/5000][75/535][58476] Loss_D: -0.026141 Loss_G: 0.001825 Loss_D_real: -0.017741 Loss_D_fake 0.008399
[569/5000][80/535][58477] Loss_D: -0.024339 Loss_G: 0.029077 Loss_D_real: -0.028100 Loss_D_fake -0.003761
[569/5000][85/535][58478] Loss_D: -0.025334 Loss_G: 0.030910 Loss_D_real: -0.021224 Loss_D_fake 0.004110
[569/5000][90/535][58479] Loss_D: -0.024194 Loss_G: 0.031504 Loss_D_real: -0.028075 Loss_D_fake -0.003881
[569/5000][95/535][58480] Loss_D: -0.025791 Loss_G: -0.011402 Loss_D_real: 0.003496 Loss_D_fake 0.029287
[569/5000][100/535][58481] Loss_D: -0.024041 Loss_G: 0.001104 Loss_D_real: 0.000508 Loss_D_fake 0.024549
[569/5000][105/535][58482] Loss_D: -0.024204 Loss_G: -0.006034 Loss_D_real: 0.000653 Loss_D_fake 0.024857
[569/5000][110/535][58483] Loss_D: -0.024928 Loss_G: 0.015326 Loss_D_real: -0.015626 Loss_D_fake 0.009302
[569/5000][115/535][58484] Loss_D: -0.024323 Loss_G: 0.021532 Loss_D_real: -0.032703 Loss_D_fake -0.008379
[569/5000][120/535][58485] Loss_D: -0.025148 Loss_G: -0.004896 Loss_D_real: -0.003126 Loss_D_fake 0.022022
[569/5000][125/535][58486] Loss_D: -0.025881 Loss_G: 0.007129 Loss_D_real: -0.014703 Loss_D_fake 0.011178
[569/5000][130/535][58487] Loss_D: -0.025461 Loss_G: 0.018928 Loss_D_real: -0.017374 Loss_D_fake 0.008088
[569/5000][135/535][58488] Loss_D: -0.025060 Loss_G: 0.001941 Loss_D_real: -0.014997 Loss_D_fake 0.010063
[569/5000][140/535][58489] Loss_D: -0.025772 Loss_G: 0.026380 Loss_D_real: -0.027344 Loss_D_fake -0.001572
[569/5000][145/535][58490] Loss_D: -0.026082 Loss_G: -0.015836 Loss_D_real: -0.004033 Loss_D_fake 0.022049
[569/5000][150/535][58491] Loss_D: -0.025161 Loss_G: 0.017664 Loss_D_real: -0.020458 Loss_D_fake 0.004704
[569/5000][155/535][58492] Loss_D: -0.025147 Loss_G: 0.027382 Loss_D_real: -0.024664 Loss_D_fake 0.000483
[569/5000][160/535][58493] Loss_D: -0.025709 Loss_G: 0.007350 Loss_D_real: -0.023400 Loss_D_fake 0.002309
[569/5000][165/535][58494] Loss_D: -0.024384 Loss_G: 0.022960 Loss_D_real: -0.017911 Loss_D_fake 0.006472
[569/5000][170/535][58495] Loss_D: -0.025396 Loss_G: -0.007929 Loss_D_real: -0.001902 Loss_D_fake 0.023494
[569/5000][175/535][58496] Loss_D: -0.025649 Loss_G: -0.008880 Loss_D_real: -0.009373 Loss_D_fake 0.016276
[569/5000][180/535][58497] Loss_D: -0.025582 Loss_G: 0.021238 Loss_D_real: -0.016579 Loss_D_fake 0.009003
[569/5000][185/535][58498] Loss_D: -0.026504 Loss_G: 0.024376 Loss_D_real: -0.021528 Loss_D_fake 0.004976
[569/5000][190/535][58499] Loss_D: -0.026391 Loss_G: 0.005844 Loss_D_real: -0.004027 Loss_D_fake 0.022364
[569/5000][195/535][58500] Loss_D: -0.024581 Loss_G: 0.032857 Loss_D_real: -0.024205 Loss_D_fake 0.000376
[569/5000][295/535][58501] Loss_D: -0.031852 Loss_G: -0.018827 Loss_D_real: -0.005329 Loss_D_fake 0.026523
[569/5000][300/535][58502] Loss_D: -0.024457 Loss_G: 0.013558 Loss_D_real: -0.012406 Loss_D_fake 0.012051
[569/5000][305/535][58503] Loss_D: -0.025405 Loss_G: 0.011763 Loss_D_real: -0.016096 Loss_D_fake 0.009310
[569/5000][310/535][58504] Loss_D: -0.022506 Loss_G: 0.018031 Loss_D_real: -0.017059 Loss_D_fake 0.005447
[569/5000][315/535][58505] Loss_D: -0.023187 Loss_G: 0.014605 Loss_D_real: -0.018502 Loss_D_fake 0.004685
[569/5000][320/535][58506] Loss_D: -0.022734 Loss_G: 0.003072 Loss_D_real: -0.007366 Loss_D_fake 0.015368
[569/5000][325/535][58507] Loss_D: -0.024647 Loss_G: 0.012641 Loss_D_real: -0.011481 Loss_D_fake 0.013166
[569/5000][330/535][58508] Loss_D: -0.023171 Loss_G: 0.000219 Loss_D_real: -0.011632 Loss_D_fake 0.011539
[569/5000][335/535][58509] Loss_D: -0.023413 Loss_G: 0.007513 Loss_D_real: -0.013255 Loss_D_fake 0.010159
[569/5000][340/535][58510] Loss_D: -0.024577 Loss_G: 0.011252 Loss_D_real: -0.007761 Loss_D_fake 0.016817
[569/5000][345/535][58511] Loss_D: -0.023770 Loss_G: -0.000919 Loss_D_real: -0.005409 Loss_D_fake 0.018361
[569/5000][350/535][58512] Loss_D: -0.025145 Loss_G: 0.008327 Loss_D_real: -0.019767 Loss_D_fake 0.005378
[569/5000][355/535][58513] Loss_D: -0.023912 Loss_G: 0.031658 Loss_D_real: -0.032582 Loss_D_fake -0.008670
[569/5000][360/535][58514] Loss_D: -0.025731 Loss_G: 0.017791 Loss_D_real: -0.023931 Loss_D_fake 0.001799
[569/5000][365/535][58515] Loss_D: -0.023768 Loss_G: 0.010150 Loss_D_real: -0.020410 Loss_D_fake 0.003358
[569/5000][370/535][58516] Loss_D: -0.025165 Loss_G: 0.009182 Loss_D_real: -0.019746 Loss_D_fake 0.005418
[569/5000][375/535][58517] Loss_D: -0.024244 Loss_G: -0.006130 Loss_D_real: -0.006172 Loss_D_fake 0.018072
[569/5000][380/535][58518] Loss_D: -0.023630 Loss_G: 0.012796 Loss_D_real: -0.005567 Loss_D_fake 0.018062
[569/5000][385/535][58519] Loss_D: -0.026178 Loss_G: 0.003847 Loss_D_real: -0.004480 Loss_D_fake 0.021698
[569/5000][390/535][58520] Loss_D: -0.025845 Loss_G: 0.010846 Loss_D_real: -0.024835 Loss_D_fake 0.001009
[569/5000][395/535][58521] Loss_D: -0.024496 Loss_G: 0.031807 Loss_D_real: -0.034086 Loss_D_fake -0.009590
[569/5000][400/535][58522] Loss_D: -0.024701 Loss_G: 0.030350 Loss_D_real: -0.026196 Loss_D_fake -0.001495
[569/5000][405/535][58523] Loss_D: -0.025492 Loss_G: 0.010969 Loss_D_real: -0.025670 Loss_D_fake -0.000178
[569/5000][410/535][58524] Loss_D: -0.025151 Loss_G: 0.028598 Loss_D_real: -0.016929 Loss_D_fake 0.008222
[569/5000][415/535][58525] Loss_D: -0.024908 Loss_G: 0.032443 Loss_D_real: -0.028801 Loss_D_fake -0.003893
[569/5000][420/535][58526] Loss_D: -0.026818 Loss_G: 0.002781 Loss_D_real: -0.019691 Loss_D_fake 0.007126
[569/5000][425/535][58527] Loss_D: -0.024147 Loss_G: 0.019631 Loss_D_real: -0.027501 Loss_D_fake -0.003355
[569/5000][430/535][58528] Loss_D: -0.025142 Loss_G: 0.012198 Loss_D_real: -0.025174 Loss_D_fake -0.000032
[569/5000][435/535][58529] Loss_D: -0.025561 Loss_G: 0.010300 Loss_D_real: -0.011291 Loss_D_fake 0.014270
[569/5000][440/535][58530] Loss_D: -0.025311 Loss_G: 0.017266 Loss_D_real: -0.014326 Loss_D_fake 0.010985
[569/5000][445/535][58531] Loss_D: -0.025097 Loss_G: 0.027835 Loss_D_real: -0.027969 Loss_D_fake -0.002871
[569/5000][450/535][58532] Loss_D: -0.026212 Loss_G: 0.009553 Loss_D_real: -0.015045 Loss_D_fake 0.011167
[569/5000][455/535][58533] Loss_D: -0.026620 Loss_G: 0.018040 Loss_D_real: -0.009858 Loss_D_fake 0.016761
[569/5000][460/535][58534] Loss_D: -0.024679 Loss_G: 0.029789 Loss_D_real: -0.031040 Loss_D_fake -0.006361
[569/5000][465/535][58535] Loss_D: -0.025993 Loss_G: 0.008905 Loss_D_real: -0.015526 Loss_D_fake 0.010467
[569/5000][470/535][58536] Loss_D: -0.023994 Loss_G: 0.021498 Loss_D_real: -0.025843 Loss_D_fake -0.001849
[569/5000][475/535][58537] Loss_D: -0.025291 Loss_G: 0.017653 Loss_D_real: -0.015844 Loss_D_fake 0.009447
[569/5000][480/535][58538] Loss_D: -0.025556 Loss_G: -0.004199 Loss_D_real: -0.004233 Loss_D_fake 0.021323
[569/5000][485/535][58539] Loss_D: -0.024985 Loss_G: 0.023562 Loss_D_real: -0.025160 Loss_D_fake -0.000175
[569/5000][490/535][58540] Loss_D: -0.025185 Loss_G: -0.004564 Loss_D_real: -0.015065 Loss_D_fake 0.010119
[569/5000][495/535][58541] Loss_D: -0.025327 Loss_G: 0.010549 Loss_D_real: -0.022211 Loss_D_fake 0.003117
[569/5000][500/535][58542] Loss_D: -0.025576 Loss_G: 0.005471 Loss_D_real: -0.017926 Loss_D_fake 0.007650
[569/5000][505/535][58543] Loss_D: -0.026034 Loss_G: 0.023668 Loss_D_real: -0.017353 Loss_D_fake 0.008681
[569/5000][510/535][58544] Loss_D: -0.025126 Loss_G: 0.024293 Loss_D_real: -0.016983 Loss_D_fake 0.008143
[569/5000][515/535][58545] Loss_D: -0.025531 Loss_G: 0.019694 Loss_D_real: -0.025979 Loss_D_fake -0.000448
[569/5000][520/535][58546] Loss_D: -0.025690 Loss_G: 0.027376 Loss_D_real: -0.029862 Loss_D_fake -0.004172
[569/5000][525/535][58547] Loss_D: -0.025219 Loss_G: 0.019959 Loss_D_real: -0.015083 Loss_D_fake 0.010137
[569/5000][530/535][58548] Loss_D: -0.024914 Loss_G: 0.014116 Loss_D_real: -0.017561 Loss_D_fake 0.007353
[569/5000][535/535][58549] Loss_D: -0.024132 Loss_G: 0.016560 Loss_D_real: -0.007244 Loss_D_fake 0.016888
[570/5000][5/535][58550] Loss_D: -0.024852 Loss_G: 0.016539 Loss_D_real: -0.019962 Loss_D_fake 0.004890
[570/5000][10/535][58551] Loss_D: -0.025052 Loss_G: 0.025214 Loss_D_real: -0.035733 Loss_D_fake -0.010681
[570/5000][15/535][58552] Loss_D: -0.025137 Loss_G: 0.012192 Loss_D_real: -0.021736 Loss_D_fake 0.003401
[570/5000][20/535][58553] Loss_D: -0.025942 Loss_G: 0.007500 Loss_D_real: -0.026986 Loss_D_fake -0.001044
[570/5000][25/535][58554] Loss_D: -0.025909 Loss_G: 0.014409 Loss_D_real: -0.025121 Loss_D_fake 0.000789
[570/5000][30/535][58555] Loss_D: -0.025625 Loss_G: 0.005914 Loss_D_real: -0.007079 Loss_D_fake 0.018546
[570/5000][35/535][58556] Loss_D: -0.026103 Loss_G: 0.000230 Loss_D_real: -0.016288 Loss_D_fake 0.009816
[570/5000][40/535][58557] Loss_D: -0.023841 Loss_G: 0.030715 Loss_D_real: -0.038420 Loss_D_fake -0.014580
[570/5000][45/535][58558] Loss_D: -0.025651 Loss_G: 0.013123 Loss_D_real: -0.027434 Loss_D_fake -0.001783
[570/5000][50/535][58559] Loss_D: -0.024961 Loss_G: 0.031757 Loss_D_real: -0.024934 Loss_D_fake 0.000027
[570/5000][55/535][58560] Loss_D: -0.025018 Loss_G: 0.015036 Loss_D_real: -0.018250 Loss_D_fake 0.006767
[570/5000][60/535][58561] Loss_D: -0.025212 Loss_G: 0.001513 Loss_D_real: -0.008483 Loss_D_fake 0.016729
[570/5000][65/535][58562] Loss_D: -0.026319 Loss_G: -0.006254 Loss_D_real: -0.013492 Loss_D_fake 0.012828
[570/5000][70/535][58563] Loss_D: -0.025334 Loss_G: 0.016265 Loss_D_real: -0.020266 Loss_D_fake 0.005068
[570/5000][75/535][58564] Loss_D: -0.024754 Loss_G: 0.021201 Loss_D_real: -0.017292 Loss_D_fake 0.007462
[570/5000][80/535][58565] Loss_D: -0.026256 Loss_G: 0.007439 Loss_D_real: -0.018473 Loss_D_fake 0.007783
[570/5000][85/535][58566] Loss_D: -0.025207 Loss_G: 0.027648 Loss_D_real: -0.029771 Loss_D_fake -0.004564
[570/5000][90/535][58567] Loss_D: -0.026401 Loss_G: 0.004121 Loss_D_real: -0.013465 Loss_D_fake 0.012936
[570/5000][95/535][58568] Loss_D: -0.025145 Loss_G: 0.014803 Loss_D_real: -0.025693 Loss_D_fake -0.000548
[570/5000][100/535][58569] Loss_D: -0.026582 Loss_G: 0.018605 Loss_D_real: -0.016054 Loss_D_fake 0.010528
[570/5000][105/535][58570] Loss_D: -0.025206 Loss_G: 0.024315 Loss_D_real: -0.030021 Loss_D_fake -0.004814
[570/5000][110/535][58571] Loss_D: -0.024903 Loss_G: -0.007562 Loss_D_real: 0.001932 Loss_D_fake 0.026835
[570/5000][115/535][58572] Loss_D: -0.025140 Loss_G: 0.019362 Loss_D_real: -0.022379 Loss_D_fake 0.002761
[570/5000][120/535][58573] Loss_D: -0.025362 Loss_G: -0.001300 Loss_D_real: -0.006380 Loss_D_fake 0.018982
[570/5000][125/535][58574] Loss_D: -0.024196 Loss_G: 0.022357 Loss_D_real: -0.029204 Loss_D_fake -0.005008
[570/5000][130/535][58575] Loss_D: -0.025625 Loss_G: -0.000623 Loss_D_real: -0.004317 Loss_D_fake 0.021308
[570/5000][135/535][58576] Loss_D: -0.024569 Loss_G: 0.009709 Loss_D_real: -0.008240 Loss_D_fake 0.016330
[570/5000][140/535][58577] Loss_D: -0.024085 Loss_G: 0.031071 Loss_D_real: -0.034585 Loss_D_fake -0.010500
[570/5000][145/535][58578] Loss_D: -0.024719 Loss_G: 0.026147 Loss_D_real: -0.026620 Loss_D_fake -0.001901
[570/5000][150/535][58579] Loss_D: -0.025278 Loss_G: 0.012761 Loss_D_real: -0.027652 Loss_D_fake -0.002374
[570/5000][155/535][58580] Loss_D: -0.023478 Loss_G: 0.031946 Loss_D_real: -0.025811 Loss_D_fake -0.002333
[570/5000][160/535][58581] Loss_D: -0.025664 Loss_G: -0.000894 Loss_D_real: -0.005183 Loss_D_fake 0.020480
[570/5000][165/535][58582] Loss_D: -0.025050 Loss_G: 0.025470 Loss_D_real: -0.026825 Loss_D_fake -0.001775
[570/5000][170/535][58583] Loss_D: -0.025991 Loss_G: 0.029331 Loss_D_real: -0.020977 Loss_D_fake 0.005014
[570/5000][175/535][58584] Loss_D: -0.025195 Loss_G: -0.008626 Loss_D_real: 0.002155 Loss_D_fake 0.027350
[570/5000][180/535][58585] Loss_D: -0.024256 Loss_G: 0.012576 Loss_D_real: -0.018019 Loss_D_fake 0.006237
[570/5000][185/535][58586] Loss_D: -0.025722 Loss_G: 0.012202 Loss_D_real: -0.021676 Loss_D_fake 0.004046
[570/5000][190/535][58587] Loss_D: -0.024409 Loss_G: 0.023578 Loss_D_real: -0.030363 Loss_D_fake -0.005953
[570/5000][195/535][58588] Loss_D: -0.024372 Loss_G: 0.026851 Loss_D_real: -0.020077 Loss_D_fake 0.004296
[570/5000][200/535][58589] Loss_D: -0.026412 Loss_G: 0.019779 Loss_D_real: -0.013488 Loss_D_fake 0.012925
[570/5000][205/535][58590] Loss_D: -0.025237 Loss_G: 0.022056 Loss_D_real: -0.026113 Loss_D_fake -0.000876
[570/5000][210/535][58591] Loss_D: -0.025016 Loss_G: 0.017887 Loss_D_real: -0.021741 Loss_D_fake 0.003274
[570/5000][215/535][58592] Loss_D: -0.026009 Loss_G: 0.028883 Loss_D_real: -0.020330 Loss_D_fake 0.005679
[570/5000][220/535][58593] Loss_D: -0.025157 Loss_G: 0.008201 Loss_D_real: -0.027333 Loss_D_fake -0.002176
[570/5000][225/535][58594] Loss_D: -0.027154 Loss_G: 0.011054 Loss_D_real: -0.016985 Loss_D_fake 0.010169
[570/5000][230/535][58595] Loss_D: -0.026662 Loss_G: 0.010556 Loss_D_real: -0.013294 Loss_D_fake 0.013367
[570/5000][235/535][58596] Loss_D: -0.026258 Loss_G: 0.021366 Loss_D_real: -0.021738 Loss_D_fake 0.004521
[570/5000][240/535][58597] Loss_D: -0.025942 Loss_G: -0.016345 Loss_D_real: -0.002787 Loss_D_fake 0.023154
[570/5000][245/535][58598] Loss_D: -0.025223 Loss_G: 0.003096 Loss_D_real: -0.017280 Loss_D_fake 0.007944
[570/5000][250/535][58599] Loss_D: -0.025749 Loss_G: 0.004576 Loss_D_real: -0.013727 Loss_D_fake 0.012022
[570/5000][255/535][58600] Loss_D: -0.025430 Loss_G: -0.000337 Loss_D_real: -0.007303 Loss_D_fake 0.018127
[570/5000][260/535][58601] Loss_D: -0.025995 Loss_G: 0.012566 Loss_D_real: -0.012399 Loss_D_fake 0.013596
[570/5000][265/535][58602] Loss_D: -0.025285 Loss_G: 0.007038 Loss_D_real: -0.007460 Loss_D_fake 0.017826
[570/5000][270/535][58603] Loss_D: -0.025476 Loss_G: 0.004405 Loss_D_real: -0.005071 Loss_D_fake 0.020406
[570/5000][275/535][58604] Loss_D: -0.023610 Loss_G: -0.012030 Loss_D_real: 0.003314 Loss_D_fake 0.026925
[570/5000][280/535][58605] Loss_D: -0.023940 Loss_G: 0.034632 Loss_D_real: -0.027937 Loss_D_fake -0.003997
[570/5000][285/535][58606] Loss_D: -0.026657 Loss_G: 0.019918 Loss_D_real: -0.013328 Loss_D_fake 0.013328
[570/5000][290/535][58607] Loss_D: -0.025975 Loss_G: 0.006200 Loss_D_real: -0.013737 Loss_D_fake 0.012239
[570/5000][295/535][58608] Loss_D: -0.025189 Loss_G: 0.025422 Loss_D_real: -0.030199 Loss_D_fake -0.005010
[570/5000][300/535][58609] Loss_D: -0.025030 Loss_G: 0.027222 Loss_D_real: -0.027512 Loss_D_fake -0.002482
[570/5000][305/535][58610] Loss_D: -0.025678 Loss_G: 0.001586 Loss_D_real: -0.007637 Loss_D_fake 0.018041
[570/5000][310/535][58611] Loss_D: -0.024619 Loss_G: 0.004730 Loss_D_real: -0.015171 Loss_D_fake 0.009448
[570/5000][315/535][58612] Loss_D: -0.024670 Loss_G: 0.012053 Loss_D_real: -0.020244 Loss_D_fake 0.004427
[570/5000][320/535][58613] Loss_D: -0.025101 Loss_G: 0.027751 Loss_D_real: -0.031311 Loss_D_fake -0.006210
[570/5000][325/535][58614] Loss_D: -0.025007 Loss_G: 0.010285 Loss_D_real: -0.011245 Loss_D_fake 0.013762
[570/5000][330/535][58615] Loss_D: -0.025267 Loss_G: 0.019561 Loss_D_real: -0.023673 Loss_D_fake 0.001594
[570/5000][335/535][58616] Loss_D: -0.025262 Loss_G: 0.009468 Loss_D_real: -0.006581 Loss_D_fake 0.018681
[570/5000][340/535][58617] Loss_D: -0.025826 Loss_G: 0.012150 Loss_D_real: -0.013660 Loss_D_fake 0.012166
[570/5000][345/535][58618] Loss_D: -0.025972 Loss_G: 0.029112 Loss_D_real: -0.032340 Loss_D_fake -0.006368
[570/5000][350/535][58619] Loss_D: -0.025231 Loss_G: -0.024694 Loss_D_real: 0.005569 Loss_D_fake 0.030800
[570/5000][355/535][58620] Loss_D: -0.023683 Loss_G: 0.025727 Loss_D_real: -0.026930 Loss_D_fake -0.003246
[570/5000][360/535][58621] Loss_D: -0.022948 Loss_G: -0.013032 Loss_D_real: -0.002217 Loss_D_fake 0.020731
[570/5000][365/535][58622] Loss_D: -0.025840 Loss_G: 0.021111 Loss_D_real: -0.012473 Loss_D_fake 0.013367
[570/5000][370/535][58623] Loss_D: -0.024732 Loss_G: 0.011000 Loss_D_real: -0.012898 Loss_D_fake 0.011834
[570/5000][375/535][58624] Loss_D: -0.025504 Loss_G: 0.011419 Loss_D_real: -0.019480 Loss_D_fake 0.006023
[570/5000][380/535][58625] Loss_D: -0.025385 Loss_G: 0.016253 Loss_D_real: -0.021545 Loss_D_fake 0.003841
[570/5000][385/535][58626] Loss_D: -0.025653 Loss_G: 0.012835 Loss_D_real: -0.021411 Loss_D_fake 0.004243
[570/5000][390/535][58627] Loss_D: -0.025721 Loss_G: 0.016916 Loss_D_real: -0.018646 Loss_D_fake 0.007075
[570/5000][395/535][58628] Loss_D: -0.026863 Loss_G: 0.007091 Loss_D_real: -0.021559 Loss_D_fake 0.005304
[570/5000][400/535][58629] Loss_D: -0.026153 Loss_G: -0.002563 Loss_D_real: -0.010688 Loss_D_fake 0.015465
[570/5000][405/535][58630] Loss_D: -0.024581 Loss_G: 0.023469 Loss_D_real: -0.031699 Loss_D_fake -0.007119
[570/5000][410/535][58631] Loss_D: -0.025224 Loss_G: 0.025882 Loss_D_real: -0.031290 Loss_D_fake -0.006066
[570/5000][415/535][58632] Loss_D: -0.025231 Loss_G: 0.021340 Loss_D_real: -0.022694 Loss_D_fake 0.002537
[570/5000][420/535][58633] Loss_D: -0.026091 Loss_G: 0.009094 Loss_D_real: -0.015697 Loss_D_fake 0.010394
[570/5000][425/535][58634] Loss_D: -0.025696 Loss_G: 0.017118 Loss_D_real: -0.026365 Loss_D_fake -0.000669
[570/5000][430/535][58635] Loss_D: -0.025567 Loss_G: 0.024096 Loss_D_real: -0.026477 Loss_D_fake -0.000910
[570/5000][435/535][58636] Loss_D: -0.026057 Loss_G: 0.002364 Loss_D_real: -0.021573 Loss_D_fake 0.004484
[570/5000][440/535][58637] Loss_D: -0.025393 Loss_G: 0.018841 Loss_D_real: -0.021498 Loss_D_fake 0.003896
[570/5000][445/535][58638] Loss_D: -0.026025 Loss_G: 0.024610 Loss_D_real: -0.022214 Loss_D_fake 0.003810
[570/5000][450/535][58639] Loss_D: -0.025918 Loss_G: 0.003116 Loss_D_real: -0.014087 Loss_D_fake 0.011832
[570/5000][455/535][58640] Loss_D: -0.025115 Loss_G: 0.016952 Loss_D_real: -0.021796 Loss_D_fake 0.003319
[570/5000][460/535][58641] Loss_D: -0.025425 Loss_G: 0.017216 Loss_D_real: -0.025586 Loss_D_fake -0.000161
[570/5000][465/535][58642] Loss_D: -0.024454 Loss_G: 0.030639 Loss_D_real: -0.032687 Loss_D_fake -0.008233
[570/5000][470/535][58643] Loss_D: -0.026812 Loss_G: 0.014394 Loss_D_real: -0.019089 Loss_D_fake 0.007723
[570/5000][475/535][58644] Loss_D: -0.025508 Loss_G: 0.023383 Loss_D_real: -0.029668 Loss_D_fake -0.004160
[570/5000][480/535][58645] Loss_D: -0.026501 Loss_G: -0.010037 Loss_D_real: -0.011058 Loss_D_fake 0.015443
[570/5000][485/535][58646] Loss_D: -0.024930 Loss_G: 0.010060 Loss_D_real: -0.019578 Loss_D_fake 0.005353
[570/5000][490/535][58647] Loss_D: -0.025082 Loss_G: -0.001020 Loss_D_real: 0.000800 Loss_D_fake 0.025883
[570/5000][495/535][58648] Loss_D: -0.025108 Loss_G: 0.015185 Loss_D_real: -0.019367 Loss_D_fake 0.005741
[570/5000][500/535][58649] Loss_D: -0.024150 Loss_G: 0.013529 Loss_D_real: -0.025161 Loss_D_fake -0.001011
[570/5000][505/535][58650] Loss_D: -0.024970 Loss_G: 0.022130 Loss_D_real: -0.018840 Loss_D_fake 0.006130
[570/5000][510/535][58651] Loss_D: -0.023949 Loss_G: -0.010336 Loss_D_real: -0.010308 Loss_D_fake 0.013641
[570/5000][515/535][58652] Loss_D: -0.024279 Loss_G: 0.014656 Loss_D_real: -0.019452 Loss_D_fake 0.004827
[570/5000][520/535][58653] Loss_D: -0.025885 Loss_G: 0.011404 Loss_D_real: -0.010776 Loss_D_fake 0.015109
[570/5000][525/535][58654] Loss_D: -0.026320 Loss_G: 0.021597 Loss_D_real: -0.018739 Loss_D_fake 0.007582
[570/5000][530/535][58655] Loss_D: -0.026037 Loss_G: 0.018934 Loss_D_real: -0.014125 Loss_D_fake 0.011912
[570/5000][535/535][58656] Loss_D: -0.026657 Loss_G: 0.011972 Loss_D_real: -0.019068 Loss_D_fake 0.007589
[571/5000][5/535][58657] Loss_D: -0.026253 Loss_G: 0.022455 Loss_D_real: -0.023042 Loss_D_fake 0.003211
[571/5000][10/535][58658] Loss_D: -0.024981 Loss_G: 0.004134 Loss_D_real: -0.011001 Loss_D_fake 0.013980
[571/5000][15/535][58659] Loss_D: -0.027115 Loss_G: 0.013727 Loss_D_real: -0.019761 Loss_D_fake 0.007354
[571/5000][20/535][58660] Loss_D: -0.026333 Loss_G: 0.008698 Loss_D_real: -0.003928 Loss_D_fake 0.022405
[571/5000][25/535][58661] Loss_D: -0.025478 Loss_G: 0.011849 Loss_D_real: -0.019672 Loss_D_fake 0.005806
[571/5000][30/535][58662] Loss_D: -0.025667 Loss_G: 0.008516 Loss_D_real: -0.004183 Loss_D_fake 0.021483
[571/5000][35/535][58663] Loss_D: -0.026404 Loss_G: 0.024557 Loss_D_real: -0.014107 Loss_D_fake 0.012297
[571/5000][40/535][58664] Loss_D: -0.026595 Loss_G: 0.011258 Loss_D_real: -0.014183 Loss_D_fake 0.012412
[571/5000][45/535][58665] Loss_D: -0.025890 Loss_G: 0.028060 Loss_D_real: -0.020927 Loss_D_fake 0.004964
[571/5000][50/535][58666] Loss_D: -0.026412 Loss_G: 0.001032 Loss_D_real: -0.013346 Loss_D_fake 0.013066
[571/5000][55/535][58667] Loss_D: -0.024248 Loss_G: 0.022098 Loss_D_real: -0.023732 Loss_D_fake 0.000517
[571/5000][60/535][58668] Loss_D: -0.024983 Loss_G: -0.005301 Loss_D_real: -0.010035 Loss_D_fake 0.014948
[571/5000][65/535][58669] Loss_D: -0.025790 Loss_G: 0.015833 Loss_D_real: -0.014466 Loss_D_fake 0.011324
[571/5000][70/535][58670] Loss_D: -0.026265 Loss_G: 0.012612 Loss_D_real: -0.008796 Loss_D_fake 0.017468
[571/5000][75/535][58671] Loss_D: -0.024481 Loss_G: 0.029391 Loss_D_real: -0.016623 Loss_D_fake 0.007858
[571/5000][80/535][58672] Loss_D: -0.025761 Loss_G: 0.024263 Loss_D_real: -0.030986 Loss_D_fake -0.005225
[571/5000][85/535][58673] Loss_D: -0.026881 Loss_G: 0.005045 Loss_D_real: -0.023160 Loss_D_fake 0.003721
[571/5000][90/535][58674] Loss_D: -0.026069 Loss_G: -0.012752 Loss_D_real: -0.004284 Loss_D_fake 0.021785
[571/5000][95/535][58675] Loss_D: -0.025163 Loss_G: -0.002321 Loss_D_real: -0.006425 Loss_D_fake 0.018738
[571/5000][100/535][58676] Loss_D: -0.024537 Loss_G: 0.035245 Loss_D_real: -0.028244 Loss_D_fake -0.003707
[571/5000][105/535][58677] Loss_D: -0.025369 Loss_G: 0.006261 Loss_D_real: -0.012442 Loss_D_fake 0.012926
[571/5000][110/535][58678] Loss_D: -0.025038 Loss_G: 0.015045 Loss_D_real: -0.024998 Loss_D_fake 0.000039
[571/5000][115/535][58679] Loss_D: -0.025278 Loss_G: 0.030364 Loss_D_real: -0.028042 Loss_D_fake -0.002764
[571/5000][120/535][58680] Loss_D: -0.025194 Loss_G: -0.008820 Loss_D_real: -0.005729 Loss_D_fake 0.019465
[571/5000][125/535][58681] Loss_D: -0.025480 Loss_G: 0.005000 Loss_D_real: -0.009145 Loss_D_fake 0.016335
[571/5000][130/535][58682] Loss_D: -0.026226 Loss_G: 0.003504 Loss_D_real: 0.002873 Loss_D_fake 0.029099
[571/5000][135/535][58683] Loss_D: -0.024647 Loss_G: 0.033632 Loss_D_real: -0.038075 Loss_D_fake -0.013428
[571/5000][140/535][58684] Loss_D: -0.025254 Loss_G: -0.002375 Loss_D_real: -0.003232 Loss_D_fake 0.022023
[571/5000][145/535][58685] Loss_D: -0.024218 Loss_G: 0.018391 Loss_D_real: -0.018939 Loss_D_fake 0.005279
[571/5000][150/535][58686] Loss_D: -0.025601 Loss_G: 0.015578 Loss_D_real: -0.019779 Loss_D_fake 0.005821
[571/5000][155/535][58687] Loss_D: -0.026571 Loss_G: 0.003576 Loss_D_real: -0.012927 Loss_D_fake 0.013644
[571/5000][160/535][58688] Loss_D: -0.025325 Loss_G: 0.014705 Loss_D_real: -0.014578 Loss_D_fake 0.010747
[571/5000][165/535][58689] Loss_D: -0.024290 Loss_G: 0.029160 Loss_D_real: -0.019368 Loss_D_fake 0.004922
[571/5000][170/535][58690] Loss_D: -0.025876 Loss_G: 0.015720 Loss_D_real: -0.007056 Loss_D_fake 0.018820
[571/5000][175/535][58691] Loss_D: -0.025748 Loss_G: 0.030472 Loss_D_real: -0.026778 Loss_D_fake -0.001030
[571/5000][180/535][58692] Loss_D: -0.025642 Loss_G: 0.023891 Loss_D_real: -0.024255 Loss_D_fake 0.001387
[571/5000][185/535][58693] Loss_D: -0.025699 Loss_G: 0.019778 Loss_D_real: -0.027771 Loss_D_fake -0.002073
[571/5000][190/535][58694] Loss_D: -0.026516 Loss_G: 0.017798 Loss_D_real: -0.018762 Loss_D_fake 0.007754
[571/5000][195/535][58695] Loss_D: -0.024015 Loss_G: -0.010212 Loss_D_real: 0.002287 Loss_D_fake 0.026302
[571/5000][200/535][58696] Loss_D: -0.025376 Loss_G: -0.001234 Loss_D_real: -0.009112 Loss_D_fake 0.016264
[571/5000][205/535][58697] Loss_D: -0.024875 Loss_G: 0.019571 Loss_D_real: -0.017001 Loss_D_fake 0.007874
[571/5000][210/535][58698] Loss_D: -0.024842 Loss_G: -0.013080 Loss_D_real: -0.009382 Loss_D_fake 0.015461
[571/5000][215/535][58699] Loss_D: -0.025811 Loss_G: 0.001629 Loss_D_real: -0.014543 Loss_D_fake 0.011268
[571/5000][220/535][58700] Loss_D: -0.024330 Loss_G: 0.030067 Loss_D_real: -0.028250 Loss_D_fake -0.003919
[571/5000][225/535][58701] Loss_D: -0.025898 Loss_G: 0.005608 Loss_D_real: -0.011056 Loss_D_fake 0.014842
[571/5000][230/535][58702] Loss_D: -0.024690 Loss_G: 0.027063 Loss_D_real: -0.039974 Loss_D_fake -0.015284
[571/5000][235/535][58703] Loss_D: -0.026964 Loss_G: 0.002933 Loss_D_real: -0.021041 Loss_D_fake 0.005923
[571/5000][240/535][58704] Loss_D: -0.024797 Loss_G: 0.007007 Loss_D_real: -0.006963 Loss_D_fake 0.017834
[571/5000][245/535][58705] Loss_D: -0.024188 Loss_G: 0.017975 Loss_D_real: -0.026724 Loss_D_fake -0.002536
[571/5000][250/535][58706] Loss_D: -0.025533 Loss_G: 0.023761 Loss_D_real: -0.023938 Loss_D_fake 0.001596
[571/5000][255/535][58707] Loss_D: -0.024889 Loss_G: -0.005212 Loss_D_real: -0.007335 Loss_D_fake 0.017553
[571/5000][260/535][58708] Loss_D: -0.025266 Loss_G: -0.001020 Loss_D_real: -0.002268 Loss_D_fake 0.022998
[571/5000][265/535][58709] Loss_D: -0.024589 Loss_G: 0.018966 Loss_D_real: -0.020874 Loss_D_fake 0.003716
[571/5000][270/535][58710] Loss_D: -0.024213 Loss_G: -0.012608 Loss_D_real: 0.003621 Loss_D_fake 0.027834
[571/5000][275/535][58711] Loss_D: -0.025398 Loss_G: 0.013391 Loss_D_real: -0.020784 Loss_D_fake 0.004614
[571/5000][280/535][58712] Loss_D: -0.026758 Loss_G: 0.008348 Loss_D_real: -0.008683 Loss_D_fake 0.018075
[571/5000][285/535][58713] Loss_D: -0.024504 Loss_G: -0.010398 Loss_D_real: 0.000698 Loss_D_fake 0.025203
[571/5000][290/535][58714] Loss_D: -0.025608 Loss_G: 0.017210 Loss_D_real: -0.021339 Loss_D_fake 0.004269
[571/5000][295/535][58715] Loss_D: -0.026109 Loss_G: 0.033724 Loss_D_real: -0.025442 Loss_D_fake 0.000668
[571/5000][300/535][58716] Loss_D: -0.025852 Loss_G: 0.014880 Loss_D_real: -0.017152 Loss_D_fake 0.008700
[571/5000][305/535][58717] Loss_D: -0.026610 Loss_G: 0.009607 Loss_D_real: -0.012647 Loss_D_fake 0.013963
[571/5000][310/535][58718] Loss_D: -0.025638 Loss_G: -0.005700 Loss_D_real: -0.001641 Loss_D_fake 0.023996
[571/5000][315/535][58719] Loss_D: -0.025728 Loss_G: 0.027482 Loss_D_real: -0.027432 Loss_D_fake -0.001704
[571/5000][320/535][58720] Loss_D: -0.026070 Loss_G: 0.026339 Loss_D_real: -0.032930 Loss_D_fake -0.006860
[571/5000][325/535][58721] Loss_D: -0.025646 Loss_G: 0.010437 Loss_D_real: -0.012332 Loss_D_fake 0.013314
[571/5000][330/535][58722] Loss_D: -0.024832 Loss_G: 0.020570 Loss_D_real: -0.027833 Loss_D_fake -0.003001
[571/5000][335/535][58723] Loss_D: -0.026665 Loss_G: 0.006709 Loss_D_real: -0.018556 Loss_D_fake 0.008109
[571/5000][340/535][58724] Loss_D: -0.026759 Loss_G: 0.016956 Loss_D_real: -0.022991 Loss_D_fake 0.003768
[571/5000][345/535][58725] Loss_D: -0.024041 Loss_G: 0.026533 Loss_D_real: -0.031755 Loss_D_fake -0.007714
[571/5000][350/535][58726] Loss_D: -0.026238 Loss_G: 0.003308 Loss_D_real: -0.010079 Loss_D_fake 0.016159
[571/5000][355/535][58727] Loss_D: -0.025907 Loss_G: 0.003361 Loss_D_real: -0.008792 Loss_D_fake 0.017115
[571/5000][360/535][58728] Loss_D: -0.025173 Loss_G: 0.004246 Loss_D_real: -0.008711 Loss_D_fake 0.016463
[571/5000][365/535][58729] Loss_D: -0.024888 Loss_G: 0.014243 Loss_D_real: -0.026157 Loss_D_fake -0.001269
[571/5000][370/535][58730] Loss_D: -0.026586 Loss_G: 0.016241 Loss_D_real: -0.021787 Loss_D_fake 0.004799
[571/5000][375/535][58731] Loss_D: -0.025373 Loss_G: 0.009171 Loss_D_real: -0.021967 Loss_D_fake 0.003406
[571/5000][380/535][58732] Loss_D: -0.025177 Loss_G: 0.029724 Loss_D_real: -0.026274 Loss_D_fake -0.001097
[571/5000][385/535][58733] Loss_D: -0.025545 Loss_G: -0.003656 Loss_D_real: 0.003403 Loss_D_fake 0.028948
[571/5000][390/535][58734] Loss_D: -0.024335 Loss_G: -0.003415 Loss_D_real: -0.011047 Loss_D_fake 0.013288
[571/5000][395/535][58735] Loss_D: -0.024473 Loss_G: 0.008133 Loss_D_real: -0.017066 Loss_D_fake 0.007407
[571/5000][400/535][58736] Loss_D: -0.024100 Loss_G: -0.007186 Loss_D_real: -0.010483 Loss_D_fake 0.013617
[571/5000][405/535][58737] Loss_D: -0.024416 Loss_G: 0.026691 Loss_D_real: -0.029176 Loss_D_fake -0.004760
[571/5000][410/535][58738] Loss_D: -0.024019 Loss_G: 0.014959 Loss_D_real: -0.018224 Loss_D_fake 0.005795
[571/5000][415/535][58739] Loss_D: -0.025635 Loss_G: -0.002063 Loss_D_real: 0.001834 Loss_D_fake 0.027468
[571/5000][420/535][58740] Loss_D: -0.025805 Loss_G: 0.006049 Loss_D_real: -0.022897 Loss_D_fake 0.002909
[571/5000][425/535][58741] Loss_D: -0.026302 Loss_G: 0.008200 Loss_D_real: -0.026344 Loss_D_fake -0.000041
[571/5000][430/535][58742] Loss_D: -0.025251 Loss_G: 0.017047 Loss_D_real: -0.016895 Loss_D_fake 0.008355
[571/5000][435/535][58743] Loss_D: -0.024870 Loss_G: -0.002068 Loss_D_real: -0.004871 Loss_D_fake 0.019998
[571/5000][440/535][58744] Loss_D: -0.025008 Loss_G: -0.004105 Loss_D_real: -0.008118 Loss_D_fake 0.016889
[571/5000][445/535][58745] Loss_D: -0.025912 Loss_G: 0.027082 Loss_D_real: -0.021598 Loss_D_fake 0.004315
[571/5000][450/535][58746] Loss_D: -0.025312 Loss_G: 0.014788 Loss_D_real: -0.017168 Loss_D_fake 0.008145
[571/5000][455/535][58747] Loss_D: -0.024967 Loss_G: 0.021127 Loss_D_real: -0.026631 Loss_D_fake -0.001663
[571/5000][460/535][58748] Loss_D: -0.024352 Loss_G: 0.019543 Loss_D_real: -0.025998 Loss_D_fake -0.001646
[571/5000][465/535][58749] Loss_D: -0.024122 Loss_G: 0.029547 Loss_D_real: -0.034277 Loss_D_fake -0.010155
[571/5000][470/535][58750] Loss_D: -0.024828 Loss_G: 0.019108 Loss_D_real: -0.025858 Loss_D_fake -0.001030
[571/5000][475/535][58751] Loss_D: -0.026388 Loss_G: 0.020176 Loss_D_real: -0.023253 Loss_D_fake 0.003136
[571/5000][480/535][58752] Loss_D: -0.026615 Loss_G: 0.007243 Loss_D_real: -0.013485 Loss_D_fake 0.013130
[571/5000][485/535][58753] Loss_D: -0.024929 Loss_G: 0.022048 Loss_D_real: -0.014597 Loss_D_fake 0.010333
[571/5000][490/535][58754] Loss_D: -0.025106 Loss_G: 0.004814 Loss_D_real: -0.007278 Loss_D_fake 0.017828
[571/5000][495/535][58755] Loss_D: -0.024814 Loss_G: 0.035867 Loss_D_real: -0.023292 Loss_D_fake 0.001522
[571/5000][500/535][58756] Loss_D: -0.024939 Loss_G: 0.011600 Loss_D_real: -0.031729 Loss_D_fake -0.006791
[571/5000][505/535][58757] Loss_D: -0.026409 Loss_G: 0.012253 Loss_D_real: -0.020758 Loss_D_fake 0.005651
[571/5000][510/535][58758] Loss_D: -0.024380 Loss_G: 0.026235 Loss_D_real: -0.026755 Loss_D_fake -0.002375
[571/5000][515/535][58759] Loss_D: -0.024433 Loss_G: 0.003283 Loss_D_real: -0.009908 Loss_D_fake 0.014525
[571/5000][520/535][58760] Loss_D: -0.024761 Loss_G: 0.026583 Loss_D_real: -0.024743 Loss_D_fake 0.000019
[571/5000][525/535][58761] Loss_D: -0.024563 Loss_G: 0.010975 Loss_D_real: -0.015988 Loss_D_fake 0.008575
[571/5000][530/535][58762] Loss_D: -0.025169 Loss_G: 0.020276 Loss_D_real: -0.031451 Loss_D_fake -0.006282
[571/5000][535/535][58763] Loss_D: -0.027098 Loss_G: 0.018916 Loss_D_real: -0.033020 Loss_D_fake -0.005922
[572/5000][5/535][58764] Loss_D: -0.025664 Loss_G: 0.031596 Loss_D_real: -0.031726 Loss_D_fake -0.006062
[572/5000][10/535][58765] Loss_D: -0.024505 Loss_G: 0.015497 Loss_D_real: -0.010999 Loss_D_fake 0.013506
[572/5000][15/535][58766] Loss_D: -0.026010 Loss_G: 0.006228 Loss_D_real: -0.007423 Loss_D_fake 0.018587
[572/5000][20/535][58767] Loss_D: -0.024523 Loss_G: 0.025149 Loss_D_real: -0.025150 Loss_D_fake -0.000627
[572/5000][25/535][58768] Loss_D: -0.024510 Loss_G: -0.005876 Loss_D_real: -0.004214 Loss_D_fake 0.020296
[572/5000][30/535][58769] Loss_D: -0.025909 Loss_G: 0.014390 Loss_D_real: -0.021517 Loss_D_fake 0.004392
[572/5000][35/535][58770] Loss_D: -0.023947 Loss_G: -0.007595 Loss_D_real: -0.000544 Loss_D_fake 0.023402
[572/5000][40/535][58771] Loss_D: -0.024820 Loss_G: 0.024316 Loss_D_real: -0.028523 Loss_D_fake -0.003703
[572/5000][45/535][58772] Loss_D: -0.024582 Loss_G: -0.007044 Loss_D_real: -0.003626 Loss_D_fake 0.020956
[572/5000][50/535][58773] Loss_D: -0.025670 Loss_G: 0.004770 Loss_D_real: -0.014998 Loss_D_fake 0.010672
[572/5000][55/535][58774] Loss_D: -0.026592 Loss_G: 0.021211 Loss_D_real: -0.022874 Loss_D_fake 0.003718
[572/5000][60/535][58775] Loss_D: -0.026096 Loss_G: 0.001729 Loss_D_real: -0.015196 Loss_D_fake 0.010900
[572/5000][65/535][58776] Loss_D: -0.026386 Loss_G: 0.015774 Loss_D_real: -0.025986 Loss_D_fake 0.000400
[572/5000][70/535][58777] Loss_D: -0.024820 Loss_G: -0.003497 Loss_D_real: 0.002393 Loss_D_fake 0.027213
[572/5000][75/535][58778] Loss_D: -0.026503 Loss_G: 0.007464 Loss_D_real: -0.021407 Loss_D_fake 0.005096
[572/5000][80/535][58779] Loss_D: -0.026193 Loss_G: 0.017674 Loss_D_real: -0.015291 Loss_D_fake 0.010902
[572/5000][85/535][58780] Loss_D: -0.025790 Loss_G: 0.017132 Loss_D_real: -0.017470 Loss_D_fake 0.008321
[572/5000][90/535][58781] Loss_D: -0.026353 Loss_G: 0.022900 Loss_D_real: -0.017707 Loss_D_fake 0.008646
[572/5000][95/535][58782] Loss_D: -0.026195 Loss_G: 0.012388 Loss_D_real: -0.012113 Loss_D_fake 0.014082
[572/5000][100/535][58783] Loss_D: -0.025030 Loss_G: 0.021742 Loss_D_real: -0.032237 Loss_D_fake -0.007207
[572/5000][105/535][58784] Loss_D: -0.025177 Loss_G: 0.008537 Loss_D_real: -0.010124 Loss_D_fake 0.015053
[572/5000][110/535][58785] Loss_D: -0.025399 Loss_G: 0.022573 Loss_D_real: -0.035290 Loss_D_fake -0.009892
[572/5000][115/535][58786] Loss_D: -0.025561 Loss_G: 0.019936 Loss_D_real: -0.017537 Loss_D_fake 0.008024
[572/5000][120/535][58787] Loss_D: -0.026056 Loss_G: -0.000156 Loss_D_real: -0.011639 Loss_D_fake 0.014416
[572/5000][125/535][58788] Loss_D: -0.024866 Loss_G: 0.037185 Loss_D_real: -0.030229 Loss_D_fake -0.005363
[572/5000][130/535][58789] Loss_D: -0.025578 Loss_G: 0.010844 Loss_D_real: -0.012933 Loss_D_fake 0.012644
[572/5000][135/535][58790] Loss_D: -0.026828 Loss_G: 0.009098 Loss_D_real: -0.014265 Loss_D_fake 0.012563
[572/5000][140/535][58791] Loss_D: -0.024923 Loss_G: 0.021319 Loss_D_real: -0.025440 Loss_D_fake -0.000517
[572/5000][145/535][58792] Loss_D: -0.025512 Loss_G: 0.014448 Loss_D_real: -0.015661 Loss_D_fake 0.009851
[572/5000][150/535][58793] Loss_D: -0.025707 Loss_G: -0.008564 Loss_D_real: -0.000093 Loss_D_fake 0.025613
[572/5000][155/535][58794] Loss_D: -0.024808 Loss_G: 0.011842 Loss_D_real: -0.018635 Loss_D_fake 0.006173
[572/5000][160/535][58795] Loss_D: -0.025929 Loss_G: 0.030475 Loss_D_real: -0.025141 Loss_D_fake 0.000788
[572/5000][165/535][58796] Loss_D: -0.025950 Loss_G: 0.009729 Loss_D_real: -0.018532 Loss_D_fake 0.007418
[572/5000][170/535][58797] Loss_D: -0.026373 Loss_G: 0.012412 Loss_D_real: -0.023278 Loss_D_fake 0.003096
[572/5000][175/535][58798] Loss_D: -0.024913 Loss_G: -0.016040 Loss_D_real: -0.000483 Loss_D_fake 0.024430
[572/5000][180/535][58799] Loss_D: -0.023420 Loss_G: 0.032426 Loss_D_real: -0.028217 Loss_D_fake -0.004797
[572/5000][185/535][58800] Loss_D: -0.026546 Loss_G: 0.016555 Loss_D_real: -0.024121 Loss_D_fake 0.002425
[572/5000][190/535][58801] Loss_D: -0.025316 Loss_G: 0.011717 Loss_D_real: -0.011980 Loss_D_fake 0.013336
[572/5000][195/535][58802] Loss_D: -0.025444 Loss_G: 0.032482 Loss_D_real: -0.030912 Loss_D_fake -0.005468
[572/5000][200/535][58803] Loss_D: -0.025362 Loss_G: -0.003154 Loss_D_real: -0.002694 Loss_D_fake 0.022668
[572/5000][205/535][58804] Loss_D: -0.026228 Loss_G: 0.019288 Loss_D_real: -0.025934 Loss_D_fake 0.000294
[572/5000][210/535][58805] Loss_D: -0.025533 Loss_G: 0.028580 Loss_D_real: -0.033295 Loss_D_fake -0.007762
[572/5000][215/535][58806] Loss_D: -0.025315 Loss_G: 0.028655 Loss_D_real: -0.033603 Loss_D_fake -0.008289
[572/5000][220/535][58807] Loss_D: -0.024853 Loss_G: 0.028819 Loss_D_real: -0.033388 Loss_D_fake -0.008535
[572/5000][225/535][58808] Loss_D: -0.026744 Loss_G: 0.012802 Loss_D_real: -0.018493 Loss_D_fake 0.008251
[572/5000][230/535][58809] Loss_D: -0.025849 Loss_G: 0.021561 Loss_D_real: -0.024854 Loss_D_fake 0.000995
[572/5000][235/535][58810] Loss_D: -0.026977 Loss_G: -0.004313 Loss_D_real: -0.007614 Loss_D_fake 0.019363
[572/5000][240/535][58811] Loss_D: -0.026448 Loss_G: 0.010713 Loss_D_real: -0.020395 Loss_D_fake 0.006053
[572/5000][245/535][58812] Loss_D: -0.025381 Loss_G: 0.005932 Loss_D_real: -0.004122 Loss_D_fake 0.021259
[572/5000][250/535][58813] Loss_D: -0.025277 Loss_G: 0.003336 Loss_D_real: -0.014389 Loss_D_fake 0.010888
[572/5000][255/535][58814] Loss_D: -0.024725 Loss_G: 0.026763 Loss_D_real: -0.032476 Loss_D_fake -0.007750
[572/5000][260/535][58815] Loss_D: -0.025147 Loss_G: 0.012737 Loss_D_real: -0.019784 Loss_D_fake 0.005363
[572/5000][265/535][58816] Loss_D: -0.024032 Loss_G: 0.021628 Loss_D_real: -0.015396 Loss_D_fake 0.008636
[572/5000][270/535][58817] Loss_D: -0.026050 Loss_G: 0.021208 Loss_D_real: -0.018827 Loss_D_fake 0.007223
[572/5000][275/535][58818] Loss_D: -0.025658 Loss_G: 0.015315 Loss_D_real: -0.015491 Loss_D_fake 0.010167
[572/5000][280/535][58819] Loss_D: -0.025738 Loss_G: 0.012690 Loss_D_real: -0.017805 Loss_D_fake 0.007934
[572/5000][285/535][58820] Loss_D: -0.025208 Loss_G: 0.011799 Loss_D_real: -0.025378 Loss_D_fake -0.000170
[572/5000][290/535][58821] Loss_D: -0.024834 Loss_G: 0.012990 Loss_D_real: -0.006884 Loss_D_fake 0.017950
[572/5000][295/535][58822] Loss_D: -0.024040 Loss_G: -0.007667 Loss_D_real: -0.000155 Loss_D_fake 0.023885
[572/5000][300/535][58823] Loss_D: -0.026461 Loss_G: 0.013586 Loss_D_real: -0.018442 Loss_D_fake 0.008019
[572/5000][305/535][58824] Loss_D: -0.024148 Loss_G: 0.017205 Loss_D_real: -0.017042 Loss_D_fake 0.007107
[572/5000][310/535][58825] Loss_D: -0.025931 Loss_G: 0.007382 Loss_D_real: -0.014558 Loss_D_fake 0.011373
[572/5000][315/535][58826] Loss_D: -0.024739 Loss_G: 0.024304 Loss_D_real: -0.031159 Loss_D_fake -0.006420
[572/5000][320/535][58827] Loss_D: -0.027140 Loss_G: 0.014671 Loss_D_real: -0.006476 Loss_D_fake 0.020665
[572/5000][325/535][58828] Loss_D: -0.025310 Loss_G: 0.024501 Loss_D_real: -0.015526 Loss_D_fake 0.009784
[572/5000][330/535][58829] Loss_D: -0.025436 Loss_G: 0.017934 Loss_D_real: -0.012991 Loss_D_fake 0.012445
[572/5000][335/535][58830] Loss_D: -0.025474 Loss_G: -0.004001 Loss_D_real: 0.002713 Loss_D_fake 0.028187
[572/5000][340/535][58831] Loss_D: -0.025578 Loss_G: 0.019799 Loss_D_real: -0.026041 Loss_D_fake -0.000464
[572/5000][345/535][58832] Loss_D: -0.026035 Loss_G: 0.007915 Loss_D_real: -0.022321 Loss_D_fake 0.003714
[572/5000][350/535][58833] Loss_D: -0.026326 Loss_G: 0.020550 Loss_D_real: -0.030196 Loss_D_fake -0.003870
[572/5000][355/535][58834] Loss_D: -0.025740 Loss_G: 0.013202 Loss_D_real: -0.022316 Loss_D_fake 0.003423
[572/5000][360/535][58835] Loss_D: -0.025270 Loss_G: -0.005203 Loss_D_real: -0.001551 Loss_D_fake 0.023719
[572/5000][365/535][58836] Loss_D: -0.025607 Loss_G: 0.001996 Loss_D_real: 0.000923 Loss_D_fake 0.026530
[572/5000][370/535][58837] Loss_D: -0.025249 Loss_G: 0.027362 Loss_D_real: -0.025150 Loss_D_fake 0.000099
[572/5000][375/535][58838] Loss_D: -0.025625 Loss_G: 0.019834 Loss_D_real: -0.021416 Loss_D_fake 0.004209
[572/5000][380/535][58839] Loss_D: -0.025697 Loss_G: 0.009365 Loss_D_real: -0.012000 Loss_D_fake 0.013696
[572/5000][385/535][58840] Loss_D: -0.025379 Loss_G: 0.019903 Loss_D_real: -0.023096 Loss_D_fake 0.002283
[572/5000][390/535][58841] Loss_D: -0.025851 Loss_G: 0.018441 Loss_D_real: -0.021295 Loss_D_fake 0.004556
[572/5000][395/535][58842] Loss_D: -0.024292 Loss_G: -0.010804 Loss_D_real: 0.000911 Loss_D_fake 0.025203
[572/5000][400/535][58843] Loss_D: -0.023850 Loss_G: 0.004112 Loss_D_real: -0.019521 Loss_D_fake 0.004329
[572/5000][405/535][58844] Loss_D: -0.024357 Loss_G: 0.011285 Loss_D_real: -0.020208 Loss_D_fake 0.004149
[572/5000][410/535][58845] Loss_D: -0.024291 Loss_G: -0.009566 Loss_D_real: -0.000371 Loss_D_fake 0.023920
[572/5000][415/535][58846] Loss_D: -0.024715 Loss_G: 0.020714 Loss_D_real: -0.023559 Loss_D_fake 0.001156
[572/5000][420/535][58847] Loss_D: -0.025596 Loss_G: -0.000583 Loss_D_real: -0.004216 Loss_D_fake 0.021380
[572/5000][425/535][58848] Loss_D: -0.025126 Loss_G: 0.009556 Loss_D_real: -0.008078 Loss_D_fake 0.017048
[572/5000][430/535][58849] Loss_D: -0.024980 Loss_G: 0.007730 Loss_D_real: -0.007664 Loss_D_fake 0.017316
[572/5000][435/535][58850] Loss_D: -0.025084 Loss_G: 0.033033 Loss_D_real: -0.035253 Loss_D_fake -0.010169
[572/5000][440/535][58851] Loss_D: -0.025415 Loss_G: 0.001017 Loss_D_real: -0.005636 Loss_D_fake 0.019779
[572/5000][445/535][58852] Loss_D: -0.024481 Loss_G: 0.027220 Loss_D_real: -0.023290 Loss_D_fake 0.001190
[572/5000][450/535][58853] Loss_D: -0.024400 Loss_G: 0.013176 Loss_D_real: -0.008961 Loss_D_fake 0.015438
[572/5000][455/535][58854] Loss_D: -0.025654 Loss_G: 0.005585 Loss_D_real: -0.012604 Loss_D_fake 0.013050
[572/5000][460/535][58855] Loss_D: -0.023900 Loss_G: 0.018153 Loss_D_real: -0.026068 Loss_D_fake -0.002168
[572/5000][465/535][58856] Loss_D: -0.025898 Loss_G: -0.000161 Loss_D_real: -0.015480 Loss_D_fake 0.010418
[572/5000][470/535][58857] Loss_D: -0.026291 Loss_G: 0.014994 Loss_D_real: -0.034831 Loss_D_fake -0.008540
[572/5000][475/535][58858] Loss_D: -0.024037 Loss_G: 0.025462 Loss_D_real: -0.021119 Loss_D_fake 0.002918
[572/5000][480/535][58859] Loss_D: -0.024235 Loss_G: -0.014661 Loss_D_real: -0.000878 Loss_D_fake 0.023357
[572/5000][485/535][58860] Loss_D: -0.024263 Loss_G: 0.003424 Loss_D_real: -0.000994 Loss_D_fake 0.023270
[572/5000][490/535][58861] Loss_D: -0.025254 Loss_G: 0.020944 Loss_D_real: -0.030849 Loss_D_fake -0.005594
[572/5000][495/535][58862] Loss_D: -0.024419 Loss_G: 0.006136 Loss_D_real: -0.009552 Loss_D_fake 0.014867
[572/5000][500/535][58863] Loss_D: -0.025762 Loss_G: 0.012827 Loss_D_real: -0.017490 Loss_D_fake 0.008271
[572/5000][505/535][58864] Loss_D: -0.025806 Loss_G: 0.005371 Loss_D_real: -0.009141 Loss_D_fake 0.016665
[572/5000][510/535][58865] Loss_D: -0.025252 Loss_G: 0.009656 Loss_D_real: -0.017254 Loss_D_fake 0.007998
[572/5000][515/535][58866] Loss_D: -0.025255 Loss_G: -0.007655 Loss_D_real: -0.013135 Loss_D_fake 0.012120
[572/5000][520/535][58867] Loss_D: -0.025578 Loss_G: 0.014686 Loss_D_real: -0.017488 Loss_D_fake 0.008090
[572/5000][525/535][58868] Loss_D: -0.025553 Loss_G: 0.007571 Loss_D_real: -0.020524 Loss_D_fake 0.005029
[572/5000][530/535][58869] Loss_D: -0.025894 Loss_G: 0.028597 Loss_D_real: -0.024583 Loss_D_fake 0.001311
[572/5000][535/535][58870] Loss_D: -0.028401 Loss_G: 0.034356 Loss_D_real: -0.003837 Loss_D_fake 0.024564
[573/5000][5/535][58871] Loss_D: -0.024482 Loss_G: -0.005591 Loss_D_real: -0.002870 Loss_D_fake 0.021612
[573/5000][10/535][58872] Loss_D: -0.024424 Loss_G: 0.021442 Loss_D_real: -0.028539 Loss_D_fake -0.004115
[573/5000][15/535][58873] Loss_D: -0.024932 Loss_G: 0.004826 Loss_D_real: -0.009253 Loss_D_fake 0.015679
[573/5000][20/535][58874] Loss_D: -0.025560 Loss_G: 0.001242 Loss_D_real: -0.010324 Loss_D_fake 0.015236
[573/5000][25/535][58875] Loss_D: -0.026036 Loss_G: 0.010877 Loss_D_real: -0.016067 Loss_D_fake 0.009969
[573/5000][30/535][58876] Loss_D: -0.026514 Loss_G: 0.014772 Loss_D_real: -0.020452 Loss_D_fake 0.006061
[573/5000][35/535][58877] Loss_D: -0.026346 Loss_G: 0.004765 Loss_D_real: -0.012098 Loss_D_fake 0.014248
[573/5000][40/535][58878] Loss_D: -0.024144 Loss_G: 0.028434 Loss_D_real: -0.025020 Loss_D_fake -0.000876
[573/5000][45/535][58879] Loss_D: -0.025617 Loss_G: 0.006125 Loss_D_real: -0.013779 Loss_D_fake 0.011838
[573/5000][50/535][58880] Loss_D: -0.025270 Loss_G: 0.023675 Loss_D_real: -0.024661 Loss_D_fake 0.000608
[573/5000][55/535][58881] Loss_D: -0.026098 Loss_G: 0.018791 Loss_D_real: -0.020089 Loss_D_fake 0.006010
[573/5000][60/535][58882] Loss_D: -0.026614 Loss_G: 0.018602 Loss_D_real: -0.023276 Loss_D_fake 0.003338
[573/5000][65/535][58883] Loss_D: -0.024549 Loss_G: 0.040526 Loss_D_real: -0.037850 Loss_D_fake -0.013301
[573/5000][70/535][58884] Loss_D: -0.026026 Loss_G: -0.004987 Loss_D_real: -0.010053 Loss_D_fake 0.015973
[573/5000][75/535][58885] Loss_D: -0.025071 Loss_G: 0.015105 Loss_D_real: -0.020321 Loss_D_fake 0.004750
[573/5000][80/535][58886] Loss_D: -0.026599 Loss_G: 0.007059 Loss_D_real: -0.024829 Loss_D_fake 0.001769
[573/5000][85/535][58887] Loss_D: -0.026002 Loss_G: 0.000898 Loss_D_real: -0.009903 Loss_D_fake 0.016098
[573/5000][90/535][58888] Loss_D: -0.024157 Loss_G: -0.002523 Loss_D_real: -0.001612 Loss_D_fake 0.022545
[573/5000][95/535][58889] Loss_D: -0.024704 Loss_G: 0.003452 Loss_D_real: -0.026711 Loss_D_fake -0.002007
[573/5000][100/535][58890] Loss_D: -0.024102 Loss_G: 0.009051 Loss_D_real: -0.013220 Loss_D_fake 0.010883
[573/5000][105/535][58891] Loss_D: -0.021654 Loss_G: 0.035574 Loss_D_real: -0.040482 Loss_D_fake -0.018828
[573/5000][110/535][58892] Loss_D: -0.025378 Loss_G: -0.004747 Loss_D_real: -0.003483 Loss_D_fake 0.021895
[573/5000][115/535][58893] Loss_D: -0.025408 Loss_G: 0.019049 Loss_D_real: -0.006152 Loss_D_fake 0.019257
[573/5000][120/535][58894] Loss_D: -0.024358 Loss_G: 0.030234 Loss_D_real: -0.025199 Loss_D_fake -0.000840
[573/5000][125/535][58895] Loss_D: -0.024613 Loss_G: 0.020444 Loss_D_real: -0.018676 Loss_D_fake 0.005937
[573/5000][130/535][58896] Loss_D: -0.024532 Loss_G: 0.008546 Loss_D_real: -0.016188 Loss_D_fake 0.008345
[573/5000][135/535][58897] Loss_D: -0.023985 Loss_G: 0.020055 Loss_D_real: -0.029976 Loss_D_fake -0.005992
[573/5000][140/535][58898] Loss_D: -0.027295 Loss_G: 0.008711 Loss_D_real: -0.018667 Loss_D_fake 0.008628
[573/5000][145/535][58899] Loss_D: -0.026184 Loss_G: 0.018300 Loss_D_real: -0.028994 Loss_D_fake -0.002810
[573/5000][150/535][58900] Loss_D: -0.026307 Loss_G: 0.016424 Loss_D_real: -0.021802 Loss_D_fake 0.004505
[573/5000][155/535][58901] Loss_D: -0.026265 Loss_G: 0.029282 Loss_D_real: -0.030531 Loss_D_fake -0.004266
[573/5000][160/535][58902] Loss_D: -0.025745 Loss_G: -0.004331 Loss_D_real: -0.005175 Loss_D_fake 0.020570
[573/5000][165/535][58903] Loss_D: -0.024712 Loss_G: 0.028689 Loss_D_real: -0.030421 Loss_D_fake -0.005709
[573/5000][170/535][58904] Loss_D: -0.022991 Loss_G: -0.006052 Loss_D_real: 0.003102 Loss_D_fake 0.026093
[573/5000][175/535][58905] Loss_D: -0.024715 Loss_G: 0.000075 Loss_D_real: -0.014130 Loss_D_fake 0.010585
[573/5000][180/535][58906] Loss_D: -0.026031 Loss_G: 0.012994 Loss_D_real: -0.014885 Loss_D_fake 0.011147
[573/5000][185/535][58907] Loss_D: -0.025738 Loss_G: 0.009489 Loss_D_real: -0.015108 Loss_D_fake 0.010630
[573/5000][190/535][58908] Loss_D: -0.026307 Loss_G: -0.000572 Loss_D_real: -0.012126 Loss_D_fake 0.014181
[573/5000][195/535][58909] Loss_D: -0.024951 Loss_G: 0.026649 Loss_D_real: -0.027028 Loss_D_fake -0.002077
[573/5000][200/535][58910] Loss_D: -0.027641 Loss_G: 0.018027 Loss_D_real: -0.014040 Loss_D_fake 0.013600
[573/5000][205/535][58911] Loss_D: -0.025142 Loss_G: 0.032766 Loss_D_real: -0.028414 Loss_D_fake -0.003272
[573/5000][210/535][58912] Loss_D: -0.024728 Loss_G: 0.036535 Loss_D_real: -0.039062 Loss_D_fake -0.014334
[573/5000][215/535][58913] Loss_D: -0.027238 Loss_G: 0.007799 Loss_D_real: -0.015244 Loss_D_fake 0.011994
[573/5000][220/535][58914] Loss_D: -0.026215 Loss_G: 0.018494 Loss_D_real: -0.027864 Loss_D_fake -0.001649
[573/5000][225/535][58915] Loss_D: -0.027815 Loss_G: 0.005915 Loss_D_real: -0.019078 Loss_D_fake 0.008736
[573/5000][230/535][58916] Loss_D: -0.025851 Loss_G: 0.013276 Loss_D_real: -0.016221 Loss_D_fake 0.009630
[573/5000][235/535][58917] Loss_D: -0.025668 Loss_G: -0.015076 Loss_D_real: -0.005731 Loss_D_fake 0.019938
[573/5000][240/535][58918] Loss_D: -0.025120 Loss_G: 0.023492 Loss_D_real: -0.025106 Loss_D_fake 0.000014
[573/5000][245/535][58919] Loss_D: -0.024875 Loss_G: 0.004828 Loss_D_real: -0.007474 Loss_D_fake 0.017401
[573/5000][250/535][58920] Loss_D: -0.025575 Loss_G: 0.014605 Loss_D_real: -0.023410 Loss_D_fake 0.002165
[573/5000][255/535][58921] Loss_D: -0.025227 Loss_G: 0.009395 Loss_D_real: -0.019434 Loss_D_fake 0.005793
[573/5000][260/535][58922] Loss_D: -0.026761 Loss_G: 0.026136 Loss_D_real: -0.030608 Loss_D_fake -0.003848
[573/5000][265/535][58923] Loss_D: -0.025700 Loss_G: 0.017811 Loss_D_real: -0.025111 Loss_D_fake 0.000589
[573/5000][270/535][58924] Loss_D: -0.025774 Loss_G: 0.004864 Loss_D_real: -0.007063 Loss_D_fake 0.018711
[573/5000][275/535][58925] Loss_D: -0.024683 Loss_G: 0.012908 Loss_D_real: -0.016995 Loss_D_fake 0.007688
[573/5000][280/535][58926] Loss_D: -0.027322 Loss_G: 0.032162 Loss_D_real: -0.023341 Loss_D_fake 0.003981
[573/5000][285/535][58927] Loss_D: -0.025190 Loss_G: -0.005942 Loss_D_real: -0.006632 Loss_D_fake 0.018558
[573/5000][290/535][58928] Loss_D: -0.025574 Loss_G: 0.009728 Loss_D_real: -0.025579 Loss_D_fake -0.000005
[573/5000][295/535][58929] Loss_D: -0.026971 Loss_G: 0.020466 Loss_D_real: -0.015179 Loss_D_fake 0.011793
[573/5000][300/535][58930] Loss_D: -0.026020 Loss_G: 0.013042 Loss_D_real: -0.022517 Loss_D_fake 0.003502
[573/5000][305/535][58931] Loss_D: -0.026124 Loss_G: 0.017401 Loss_D_real: -0.024064 Loss_D_fake 0.002059
[573/5000][310/535][58932] Loss_D: -0.027327 Loss_G: -0.002527 Loss_D_real: -0.000798 Loss_D_fake 0.026529
[573/5000][315/535][58933] Loss_D: -0.024903 Loss_G: 0.031203 Loss_D_real: -0.032761 Loss_D_fake -0.007859
[573/5000][320/535][58934] Loss_D: -0.027115 Loss_G: 0.016063 Loss_D_real: -0.020027 Loss_D_fake 0.007088
[573/5000][325/535][58935] Loss_D: -0.026191 Loss_G: -0.014873 Loss_D_real: -0.004166 Loss_D_fake 0.022025
[573/5000][330/535][58936] Loss_D: -0.024651 Loss_G: 0.016384 Loss_D_real: -0.016768 Loss_D_fake 0.007882
[573/5000][335/535][58937] Loss_D: -0.024513 Loss_G: 0.023755 Loss_D_real: -0.021155 Loss_D_fake 0.003358
[573/5000][340/535][58938] Loss_D: -0.025112 Loss_G: 0.023673 Loss_D_real: -0.015652 Loss_D_fake 0.009460
[573/5000][345/535][58939] Loss_D: -0.025447 Loss_G: 0.013235 Loss_D_real: -0.012902 Loss_D_fake 0.012544
[573/5000][350/535][58940] Loss_D: -0.023914 Loss_G: 0.030685 Loss_D_real: -0.033065 Loss_D_fake -0.009151
[573/5000][355/535][58941] Loss_D: -0.026384 Loss_G: 0.008905 Loss_D_real: -0.015618 Loss_D_fake 0.010767
[573/5000][360/535][58942] Loss_D: -0.024473 Loss_G: -0.008601 Loss_D_real: -0.000291 Loss_D_fake 0.024182
[573/5000][365/535][58943] Loss_D: -0.025165 Loss_G: 0.029610 Loss_D_real: -0.029033 Loss_D_fake -0.003868
[573/5000][370/535][58944] Loss_D: -0.026544 Loss_G: 0.005427 Loss_D_real: -0.019058 Loss_D_fake 0.007486
[573/5000][375/535][58945] Loss_D: -0.024755 Loss_G: -0.004548 Loss_D_real: -0.003896 Loss_D_fake 0.020860
[573/5000][380/535][58946] Loss_D: -0.023941 Loss_G: 0.023152 Loss_D_real: -0.036130 Loss_D_fake -0.012190
[573/5000][385/535][58947] Loss_D: -0.024486 Loss_G: 0.025312 Loss_D_real: -0.027323 Loss_D_fake -0.002837
[573/5000][390/535][58948] Loss_D: -0.025590 Loss_G: -0.002396 Loss_D_real: -0.010123 Loss_D_fake 0.015467
[573/5000][395/535][58949] Loss_D: -0.025454 Loss_G: 0.014059 Loss_D_real: -0.023373 Loss_D_fake 0.002082
[573/5000][400/535][58950] Loss_D: -0.025060 Loss_G: 0.026021 Loss_D_real: -0.018720 Loss_D_fake 0.006340
[573/5000][405/535][58951] Loss_D: -0.026385 Loss_G: 0.010431 Loss_D_real: -0.017695 Loss_D_fake 0.008690
[573/5000][410/535][58952] Loss_D: -0.026175 Loss_G: 0.007555 Loss_D_real: -0.005598 Loss_D_fake 0.020577
[573/5000][415/535][58953] Loss_D: -0.025707 Loss_G: 0.006822 Loss_D_real: -0.016114 Loss_D_fake 0.009593
[573/5000][420/535][58954] Loss_D: -0.024599 Loss_G: 0.025451 Loss_D_real: -0.021492 Loss_D_fake 0.003108
[573/5000][425/535][58955] Loss_D: -0.025832 Loss_G: 0.004673 Loss_D_real: -0.019627 Loss_D_fake 0.006205
[573/5000][430/535][58956] Loss_D: -0.025426 Loss_G: 0.009448 Loss_D_real: -0.020386 Loss_D_fake 0.005039
[573/5000][435/535][58957] Loss_D: -0.025176 Loss_G: 0.013253 Loss_D_real: -0.019998 Loss_D_fake 0.005178
[573/5000][440/535][58958] Loss_D: -0.025011 Loss_G: -0.013713 Loss_D_real: 0.001263 Loss_D_fake 0.026274
[573/5000][445/535][58959] Loss_D: -0.024443 Loss_G: 0.017427 Loss_D_real: -0.018866 Loss_D_fake 0.005578
[573/5000][450/535][58960] Loss_D: -0.025188 Loss_G: 0.002979 Loss_D_real: -0.006095 Loss_D_fake 0.019093
[573/5000][455/535][58961] Loss_D: -0.025654 Loss_G: 0.008974 Loss_D_real: -0.023025 Loss_D_fake 0.002630
[573/5000][460/535][58962] Loss_D: -0.026190 Loss_G: 0.002996 Loss_D_real: -0.013661 Loss_D_fake 0.012529
[573/5000][465/535][58963] Loss_D: -0.027559 Loss_G: 0.003061 Loss_D_real: -0.002666 Loss_D_fake 0.024893
[573/5000][470/535][58964] Loss_D: -0.024377 Loss_G: 0.041746 Loss_D_real: -0.037101 Loss_D_fake -0.012724
[573/5000][475/535][58965] Loss_D: -0.025817 Loss_G: 0.012039 Loss_D_real: -0.017482 Loss_D_fake 0.008336
[573/5000][480/535][58966] Loss_D: -0.025153 Loss_G: 0.028463 Loss_D_real: -0.039165 Loss_D_fake -0.014013
[573/5000][485/535][58967] Loss_D: -0.026367 Loss_G: 0.019285 Loss_D_real: -0.009426 Loss_D_fake 0.016941
[573/5000][490/535][58968] Loss_D: -0.026933 Loss_G: -0.000051 Loss_D_real: -0.019533 Loss_D_fake 0.007400
[573/5000][495/535][58969] Loss_D: -0.025258 Loss_G: -0.001025 Loss_D_real: 0.001457 Loss_D_fake 0.026714
[573/5000][500/535][58970] Loss_D: -0.026127 Loss_G: 0.022864 Loss_D_real: -0.024036 Loss_D_fake 0.002091
[573/5000][505/535][58971] Loss_D: -0.025701 Loss_G: 0.025326 Loss_D_real: -0.020393 Loss_D_fake 0.005307
[573/5000][510/535][58972] Loss_D: -0.024631 Loss_G: -0.002779 Loss_D_real: 0.001944 Loss_D_fake 0.026575
[573/5000][515/535][58973] Loss_D: -0.024971 Loss_G: 0.026732 Loss_D_real: -0.030588 Loss_D_fake -0.005617
[573/5000][520/535][58974] Loss_D: -0.025842 Loss_G: 0.000162 Loss_D_real: -0.013725 Loss_D_fake 0.012118
[573/5000][525/535][58975] Loss_D: -0.024487 Loss_G: 0.022868 Loss_D_real: -0.022893 Loss_D_fake 0.001594
[573/5000][530/535][58976] Loss_D: -0.025922 Loss_G: -0.006608 Loss_D_real: -0.008658 Loss_D_fake 0.017265
[573/5000][535/535][58977] Loss_D: -0.025482 Loss_G: -0.001382 Loss_D_real: -0.004231 Loss_D_fake 0.021251
[574/5000][5/535][58978] Loss_D: -0.026193 Loss_G: 0.011972 Loss_D_real: -0.016844 Loss_D_fake 0.009349
[574/5000][10/535][58979] Loss_D: -0.024790 Loss_G: 0.028557 Loss_D_real: -0.015177 Loss_D_fake 0.009613
[574/5000][15/535][58980] Loss_D: -0.025840 Loss_G: 0.020603 Loss_D_real: -0.029436 Loss_D_fake -0.003596
[574/5000][20/535][58981] Loss_D: -0.025756 Loss_G: 0.024276 Loss_D_real: -0.019771 Loss_D_fake 0.005985
[574/5000][25/535][58982] Loss_D: -0.026404 Loss_G: 0.029540 Loss_D_real: -0.017423 Loss_D_fake 0.008981
[574/5000][30/535][58983] Loss_D: -0.025422 Loss_G: 0.002181 Loss_D_real: -0.005004 Loss_D_fake 0.020417
[574/5000][35/535][58984] Loss_D: -0.025731 Loss_G: 0.021998 Loss_D_real: -0.029234 Loss_D_fake -0.003503
[574/5000][40/535][58985] Loss_D: -0.026196 Loss_G: 0.004039 Loss_D_real: -0.015345 Loss_D_fake 0.010852
[574/5000][45/535][58986] Loss_D: -0.025082 Loss_G: 0.021159 Loss_D_real: -0.026564 Loss_D_fake -0.001482
[574/5000][50/535][58987] Loss_D: -0.025534 Loss_G: 0.015659 Loss_D_real: -0.023513 Loss_D_fake 0.002021
[574/5000][55/535][58988] Loss_D: -0.027114 Loss_G: -0.003783 Loss_D_real: -0.008182 Loss_D_fake 0.018933
[574/5000][60/535][58989] Loss_D: -0.025228 Loss_G: 0.020116 Loss_D_real: -0.032838 Loss_D_fake -0.007609
[574/5000][65/535][58990] Loss_D: -0.026385 Loss_G: 0.036328 Loss_D_real: -0.022744 Loss_D_fake 0.003641
[574/5000][70/535][58991] Loss_D: -0.024863 Loss_G: -0.002288 Loss_D_real: -0.008759 Loss_D_fake 0.016104
[574/5000][75/535][58992] Loss_D: -0.025215 Loss_G: 0.008801 Loss_D_real: -0.020870 Loss_D_fake 0.004344
[574/5000][80/535][58993] Loss_D: -0.024922 Loss_G: 0.001515 Loss_D_real: -0.011561 Loss_D_fake 0.013361
[574/5000][85/535][58994] Loss_D: -0.025750 Loss_G: 0.005351 Loss_D_real: -0.015457 Loss_D_fake 0.010293
[574/5000][90/535][58995] Loss_D: -0.026201 Loss_G: 0.024192 Loss_D_real: -0.029613 Loss_D_fake -0.003412
[574/5000][95/535][58996] Loss_D: -0.025901 Loss_G: 0.001023 Loss_D_real: -0.014484 Loss_D_fake 0.011417
[574/5000][100/535][58997] Loss_D: -0.024504 Loss_G: 0.029146 Loss_D_real: -0.019348 Loss_D_fake 0.005157
[574/5000][105/535][58998] Loss_D: -0.023907 Loss_G: 0.012993 Loss_D_real: -0.022335 Loss_D_fake 0.001572
[574/5000][110/535][58999] Loss_D: -0.025825 Loss_G: 0.013179 Loss_D_real: -0.016708 Loss_D_fake 0.009117
[574/5000][115/535][59000] Loss_D: -0.026818 Loss_G: 0.009685 Loss_D_real: -0.006183 Loss_D_fake 0.020635
[574/5000][215/535][59001] Loss_D: -0.030129 Loss_G: 0.004582 Loss_D_real: -0.019405 Loss_D_fake 0.010724
[574/5000][220/535][59002] Loss_D: -0.027430 Loss_G: 0.009233 Loss_D_real: -0.013279 Loss_D_fake 0.014151
[574/5000][225/535][59003] Loss_D: -0.023306 Loss_G: 0.011809 Loss_D_real: -0.012950 Loss_D_fake 0.010356
[574/5000][230/535][59004] Loss_D: -0.022856 Loss_G: 0.001605 Loss_D_real: -0.009195 Loss_D_fake 0.013660
[574/5000][235/535][59005] Loss_D: -0.024614 Loss_G: 0.014949 Loss_D_real: -0.016857 Loss_D_fake 0.007757
[574/5000][240/535][59006] Loss_D: -0.022897 Loss_G: -0.009542 Loss_D_real: -0.009140 Loss_D_fake 0.013757
[574/5000][245/535][59007] Loss_D: -0.024928 Loss_G: 0.005648 Loss_D_real: -0.020758 Loss_D_fake 0.004170
[574/5000][250/535][59008] Loss_D: -0.025311 Loss_G: 0.009197 Loss_D_real: -0.026333 Loss_D_fake -0.001022
[574/5000][255/535][59009] Loss_D: -0.024493 Loss_G: 0.006375 Loss_D_real: -0.012545 Loss_D_fake 0.011948
[574/5000][260/535][59010] Loss_D: -0.023712 Loss_G: 0.012787 Loss_D_real: -0.027466 Loss_D_fake -0.003754
[574/5000][265/535][59011] Loss_D: -0.026160 Loss_G: 0.001713 Loss_D_real: -0.011457 Loss_D_fake 0.014703
[574/5000][270/535][59012] Loss_D: -0.024154 Loss_G: 0.024518 Loss_D_real: -0.023331 Loss_D_fake 0.000823
[574/5000][275/535][59013] Loss_D: -0.025124 Loss_G: 0.019514 Loss_D_real: -0.023258 Loss_D_fake 0.001866
[574/5000][280/535][59014] Loss_D: -0.026406 Loss_G: -0.000758 Loss_D_real: -0.011284 Loss_D_fake 0.015122
[574/5000][285/535][59015] Loss_D: -0.026211 Loss_G: 0.018378 Loss_D_real: -0.019801 Loss_D_fake 0.006410
[574/5000][290/535][59016] Loss_D: -0.025340 Loss_G: 0.032679 Loss_D_real: -0.022732 Loss_D_fake 0.002608
[574/5000][295/535][59017] Loss_D: -0.024693 Loss_G: -0.009415 Loss_D_real: 0.004324 Loss_D_fake 0.029017
[574/5000][300/535][59018] Loss_D: -0.024609 Loss_G: 0.018327 Loss_D_real: -0.026963 Loss_D_fake -0.002354
[574/5000][305/535][59019] Loss_D: -0.025648 Loss_G: 0.028033 Loss_D_real: -0.026558 Loss_D_fake -0.000910
[574/5000][310/535][59020] Loss_D: -0.024566 Loss_G: 0.022093 Loss_D_real: -0.021876 Loss_D_fake 0.002691
[574/5000][315/535][59021] Loss_D: -0.024085 Loss_G: 0.031611 Loss_D_real: -0.035073 Loss_D_fake -0.010988
[574/5000][320/535][59022] Loss_D: -0.025017 Loss_G: -0.009172 Loss_D_real: -0.006077 Loss_D_fake 0.018940
[574/5000][325/535][59023] Loss_D: -0.025141 Loss_G: 0.018110 Loss_D_real: -0.024646 Loss_D_fake 0.000495
[574/5000][330/535][59024] Loss_D: -0.024422 Loss_G: -0.006136 Loss_D_real: -0.001036 Loss_D_fake 0.023386
[574/5000][335/535][59025] Loss_D: -0.023634 Loss_G: 0.021341 Loss_D_real: -0.021135 Loss_D_fake 0.002499
[574/5000][340/535][59026] Loss_D: -0.024175 Loss_G: 0.001925 Loss_D_real: -0.006329 Loss_D_fake 0.017846
[574/5000][345/535][59027] Loss_D: -0.024760 Loss_G: 0.001356 Loss_D_real: -0.007569 Loss_D_fake 0.017192
[574/5000][350/535][59028] Loss_D: -0.024679 Loss_G: -0.001872 Loss_D_real: -0.019039 Loss_D_fake 0.005639
[574/5000][355/535][59029] Loss_D: -0.024147 Loss_G: 0.016869 Loss_D_real: -0.013238 Loss_D_fake 0.010909
[574/5000][360/535][59030] Loss_D: -0.024129 Loss_G: 0.031143 Loss_D_real: -0.027171 Loss_D_fake -0.003042
[574/5000][365/535][59031] Loss_D: -0.024918 Loss_G: 0.003209 Loss_D_real: -0.004814 Loss_D_fake 0.020104
[574/5000][370/535][59032] Loss_D: -0.024154 Loss_G: 0.020970 Loss_D_real: -0.028214 Loss_D_fake -0.004060
[574/5000][375/535][59033] Loss_D: -0.025021 Loss_G: -0.011706 Loss_D_real: 0.002956 Loss_D_fake 0.027977
[574/5000][380/535][59034] Loss_D: -0.024350 Loss_G: 0.005685 Loss_D_real: -0.015099 Loss_D_fake 0.009251
[574/5000][385/535][59035] Loss_D: -0.024427 Loss_G: 0.013747 Loss_D_real: -0.018696 Loss_D_fake 0.005731
[574/5000][390/535][59036] Loss_D: -0.024671 Loss_G: 0.016499 Loss_D_real: -0.020044 Loss_D_fake 0.004626
[574/5000][395/535][59037] Loss_D: -0.023855 Loss_G: -0.003345 Loss_D_real: -0.003701 Loss_D_fake 0.020154
[574/5000][400/535][59038] Loss_D: -0.025123 Loss_G: 0.015318 Loss_D_real: -0.022050 Loss_D_fake 0.003074
[574/5000][405/535][59039] Loss_D: -0.025292 Loss_G: 0.022964 Loss_D_real: -0.023570 Loss_D_fake 0.001721
[574/5000][410/535][59040] Loss_D: -0.025848 Loss_G: 0.015142 Loss_D_real: -0.012372 Loss_D_fake 0.013477
[574/5000][415/535][59041] Loss_D: -0.025233 Loss_G: 0.018607 Loss_D_real: -0.028072 Loss_D_fake -0.002839
[574/5000][420/535][59042] Loss_D: -0.025901 Loss_G: 0.027024 Loss_D_real: -0.015612 Loss_D_fake 0.010288
[574/5000][425/535][59043] Loss_D: -0.025750 Loss_G: 0.006035 Loss_D_real: -0.014539 Loss_D_fake 0.011211
[574/5000][430/535][59044] Loss_D: -0.025411 Loss_G: 0.014257 Loss_D_real: -0.026064 Loss_D_fake -0.000653
[574/5000][435/535][59045] Loss_D: -0.025892 Loss_G: -0.011799 Loss_D_real: -0.005275 Loss_D_fake 0.020617
[574/5000][440/535][59046] Loss_D: -0.026897 Loss_G: 0.027800 Loss_D_real: -0.032475 Loss_D_fake -0.005578
[574/5000][445/535][59047] Loss_D: -0.026602 Loss_G: 0.020184 Loss_D_real: -0.017992 Loss_D_fake 0.008610
[574/5000][450/535][59048] Loss_D: -0.025095 Loss_G: -0.011112 Loss_D_real: 0.004725 Loss_D_fake 0.029819
[574/5000][455/535][59049] Loss_D: -0.024826 Loss_G: 0.019248 Loss_D_real: -0.011158 Loss_D_fake 0.013668
[574/5000][460/535][59050] Loss_D: -0.025701 Loss_G: -0.004512 Loss_D_real: -0.010050 Loss_D_fake 0.015652
[574/5000][465/535][59051] Loss_D: -0.025310 Loss_G: 0.022884 Loss_D_real: -0.018012 Loss_D_fake 0.007298
[574/5000][470/535][59052] Loss_D: -0.024210 Loss_G: 0.024478 Loss_D_real: -0.025646 Loss_D_fake -0.001436
[574/5000][475/535][59053] Loss_D: -0.025981 Loss_G: 0.019002 Loss_D_real: -0.017015 Loss_D_fake 0.008966
[574/5000][480/535][59054] Loss_D: -0.025801 Loss_G: 0.008581 Loss_D_real: -0.004454 Loss_D_fake 0.021347
[574/5000][485/535][59055] Loss_D: -0.026949 Loss_G: 0.006951 Loss_D_real: -0.011694 Loss_D_fake 0.015255
[574/5000][490/535][59056] Loss_D: -0.025431 Loss_G: 0.017750 Loss_D_real: -0.023786 Loss_D_fake 0.001645
[574/5000][495/535][59057] Loss_D: -0.025412 Loss_G: 0.020315 Loss_D_real: -0.015957 Loss_D_fake 0.009456
[574/5000][500/535][59058] Loss_D: -0.025553 Loss_G: 0.032802 Loss_D_real: -0.028196 Loss_D_fake -0.002643
[574/5000][505/535][59059] Loss_D: -0.027188 Loss_G: 0.004941 Loss_D_real: -0.012699 Loss_D_fake 0.014489
[574/5000][510/535][59060] Loss_D: -0.024693 Loss_G: 0.018234 Loss_D_real: -0.020353 Loss_D_fake 0.004340
[574/5000][515/535][59061] Loss_D: -0.026065 Loss_G: 0.028777 Loss_D_real: -0.023608 Loss_D_fake 0.002457
[574/5000][520/535][59062] Loss_D: -0.024920 Loss_G: -0.001880 Loss_D_real: -0.015106 Loss_D_fake 0.009814
[574/5000][525/535][59063] Loss_D: -0.024014 Loss_G: 0.013424 Loss_D_real: -0.013953 Loss_D_fake 0.010062
[574/5000][530/535][59064] Loss_D: -0.024242 Loss_G: 0.025758 Loss_D_real: -0.029719 Loss_D_fake -0.005477
[574/5000][535/535][59065] Loss_D: -0.023565 Loss_G: -0.018492 Loss_D_real: -0.000754 Loss_D_fake 0.022811
[575/5000][5/535][59066] Loss_D: -0.024272 Loss_G: 0.020869 Loss_D_real: -0.019524 Loss_D_fake 0.004748
[575/5000][10/535][59067] Loss_D: -0.024676 Loss_G: 0.002305 Loss_D_real: -0.012083 Loss_D_fake 0.012592
[575/5000][15/535][59068] Loss_D: -0.024462 Loss_G: 0.013801 Loss_D_real: -0.014277 Loss_D_fake 0.010185
[575/5000][20/535][59069] Loss_D: -0.023916 Loss_G: 0.027760 Loss_D_real: -0.025597 Loss_D_fake -0.001681
[575/5000][25/535][59070] Loss_D: -0.026666 Loss_G: 0.016527 Loss_D_real: -0.022933 Loss_D_fake 0.003733
[575/5000][30/535][59071] Loss_D: -0.025139 Loss_G: 0.034141 Loss_D_real: -0.018726 Loss_D_fake 0.006413
[575/5000][35/535][59072] Loss_D: -0.025695 Loss_G: 0.015918 Loss_D_real: -0.011069 Loss_D_fake 0.014626
[575/5000][40/535][59073] Loss_D: -0.025871 Loss_G: 0.025627 Loss_D_real: -0.026111 Loss_D_fake -0.000240
[575/5000][45/535][59074] Loss_D: -0.024561 Loss_G: 0.022044 Loss_D_real: -0.019366 Loss_D_fake 0.005195
[575/5000][50/535][59075] Loss_D: -0.025423 Loss_G: 0.028110 Loss_D_real: -0.036562 Loss_D_fake -0.011139
[575/5000][55/535][59076] Loss_D: -0.025952 Loss_G: -0.008060 Loss_D_real: -0.012132 Loss_D_fake 0.013820
[575/5000][60/535][59077] Loss_D: -0.024509 Loss_G: 0.031921 Loss_D_real: -0.033345 Loss_D_fake -0.008835
[575/5000][65/535][59078] Loss_D: -0.026095 Loss_G: 0.004457 Loss_D_real: -0.019087 Loss_D_fake 0.007008
[575/5000][70/535][59079] Loss_D: -0.023823 Loss_G: 0.030415 Loss_D_real: -0.031535 Loss_D_fake -0.007712
[575/5000][75/535][59080] Loss_D: -0.025231 Loss_G: 0.013639 Loss_D_real: -0.020315 Loss_D_fake 0.004916
[575/5000][80/535][59081] Loss_D: -0.025847 Loss_G: -0.003236 Loss_D_real: -0.007940 Loss_D_fake 0.017907
[575/5000][85/535][59082] Loss_D: -0.026361 Loss_G: 0.007183 Loss_D_real: -0.007905 Loss_D_fake 0.018456
[575/5000][90/535][59083] Loss_D: -0.025720 Loss_G: 0.009626 Loss_D_real: -0.025976 Loss_D_fake -0.000256
[575/5000][95/535][59084] Loss_D: -0.025487 Loss_G: -0.005372 Loss_D_real: 0.006817 Loss_D_fake 0.032304
[575/5000][100/535][59085] Loss_D: -0.024289 Loss_G: 0.000352 Loss_D_real: -0.003052 Loss_D_fake 0.021237
[575/5000][105/535][59086] Loss_D: -0.024240 Loss_G: 0.019458 Loss_D_real: -0.022664 Loss_D_fake 0.001576
[575/5000][110/535][59087] Loss_D: -0.025747 Loss_G: 0.013745 Loss_D_real: -0.009697 Loss_D_fake 0.016051
[575/5000][115/535][59088] Loss_D: -0.025939 Loss_G: -0.006285 Loss_D_real: -0.001765 Loss_D_fake 0.024175
[575/5000][120/535][59089] Loss_D: -0.025584 Loss_G: 0.006998 Loss_D_real: -0.019892 Loss_D_fake 0.005692
[575/5000][125/535][59090] Loss_D: -0.026919 Loss_G: 0.016798 Loss_D_real: -0.015171 Loss_D_fake 0.011748
[575/5000][130/535][59091] Loss_D: -0.025473 Loss_G: -0.002571 Loss_D_real: 0.001029 Loss_D_fake 0.026502
[575/5000][135/535][59092] Loss_D: -0.023877 Loss_G: 0.031051 Loss_D_real: -0.033225 Loss_D_fake -0.009348
[575/5000][140/535][59093] Loss_D: -0.025215 Loss_G: 0.018907 Loss_D_real: -0.018713 Loss_D_fake 0.006503
[575/5000][145/535][59094] Loss_D: -0.025314 Loss_G: 0.014504 Loss_D_real: -0.009179 Loss_D_fake 0.016135
[575/5000][150/535][59095] Loss_D: -0.025994 Loss_G: 0.003833 Loss_D_real: -0.004546 Loss_D_fake 0.021447
[575/5000][155/535][59096] Loss_D: -0.024944 Loss_G: 0.024461 Loss_D_real: -0.018303 Loss_D_fake 0.006641
[575/5000][160/535][59097] Loss_D: -0.024994 Loss_G: 0.004633 Loss_D_real: 0.001033 Loss_D_fake 0.026027
[575/5000][165/535][59098] Loss_D: -0.024992 Loss_G: -0.004702 Loss_D_real: 0.001001 Loss_D_fake 0.025992
[575/5000][170/535][59099] Loss_D: -0.025316 Loss_G: 0.026900 Loss_D_real: -0.028309 Loss_D_fake -0.002993
[575/5000][175/535][59100] Loss_D: -0.025621 Loss_G: 0.014917 Loss_D_real: -0.009529 Loss_D_fake 0.016092
[575/5000][180/535][59101] Loss_D: -0.025997 Loss_G: 0.039339 Loss_D_real: -0.029823 Loss_D_fake -0.003826
[575/5000][185/535][59102] Loss_D: -0.026183 Loss_G: 0.005967 Loss_D_real: -0.013718 Loss_D_fake 0.012465
[575/5000][190/535][59103] Loss_D: -0.024882 Loss_G: 0.025648 Loss_D_real: -0.023896 Loss_D_fake 0.000986
[575/5000][195/535][59104] Loss_D: -0.026066 Loss_G: -0.002200 Loss_D_real: -0.013673 Loss_D_fake 0.012393
[575/5000][200/535][59105] Loss_D: -0.024406 Loss_G: 0.030319 Loss_D_real: -0.027819 Loss_D_fake -0.003413
[575/5000][205/535][59106] Loss_D: -0.025943 Loss_G: 0.028658 Loss_D_real: -0.019977 Loss_D_fake 0.005966
[575/5000][210/535][59107] Loss_D: -0.025243 Loss_G: 0.019115 Loss_D_real: -0.024268 Loss_D_fake 0.000975
[575/5000][215/535][59108] Loss_D: -0.025883 Loss_G: -0.002001 Loss_D_real: -0.015491 Loss_D_fake 0.010392
[575/5000][220/535][59109] Loss_D: -0.023601 Loss_G: 0.025202 Loss_D_real: -0.026598 Loss_D_fake -0.002997
[575/5000][225/535][59110] Loss_D: -0.026230 Loss_G: 0.018748 Loss_D_real: -0.016400 Loss_D_fake 0.009830
[575/5000][230/535][59111] Loss_D: -0.026803 Loss_G: 0.001139 Loss_D_real: -0.013579 Loss_D_fake 0.013225
[575/5000][235/535][59112] Loss_D: -0.025018 Loss_G: 0.036056 Loss_D_real: -0.027413 Loss_D_fake -0.002394
[575/5000][240/535][59113] Loss_D: -0.025197 Loss_G: 0.006725 Loss_D_real: -0.007847 Loss_D_fake 0.017350
[575/5000][245/535][59114] Loss_D: -0.025036 Loss_G: 0.021410 Loss_D_real: -0.027893 Loss_D_fake -0.002857
[575/5000][250/535][59115] Loss_D: -0.024782 Loss_G: -0.011643 Loss_D_real: -0.005795 Loss_D_fake 0.018987
[575/5000][255/535][59116] Loss_D: -0.023869 Loss_G: 0.025436 Loss_D_real: -0.018268 Loss_D_fake 0.005601
[575/5000][260/535][59117] Loss_D: -0.025796 Loss_G: 0.019992 Loss_D_real: -0.028336 Loss_D_fake -0.002540
[575/5000][265/535][59118] Loss_D: -0.025279 Loss_G: 0.013083 Loss_D_real: -0.012703 Loss_D_fake 0.012576
[575/5000][270/535][59119] Loss_D: -0.027711 Loss_G: 0.008432 Loss_D_real: -0.027610 Loss_D_fake 0.000101
[575/5000][275/535][59120] Loss_D: -0.025575 Loss_G: 0.018469 Loss_D_real: -0.016450 Loss_D_fake 0.009125
[575/5000][280/535][59121] Loss_D: -0.025714 Loss_G: -0.003215 Loss_D_real: -0.004331 Loss_D_fake 0.021382
[575/5000][285/535][59122] Loss_D: -0.024848 Loss_G: 0.022048 Loss_D_real: -0.021469 Loss_D_fake 0.003379
[575/5000][290/535][59123] Loss_D: -0.024954 Loss_G: 0.010830 Loss_D_real: -0.013990 Loss_D_fake 0.010964
[575/5000][295/535][59124] Loss_D: -0.024838 Loss_G: 0.002892 Loss_D_real: -0.016422 Loss_D_fake 0.008415
[575/5000][300/535][59125] Loss_D: -0.026560 Loss_G: 0.032256 Loss_D_real: -0.029872 Loss_D_fake -0.003312
[575/5000][305/535][59126] Loss_D: -0.024632 Loss_G: 0.013799 Loss_D_real: -0.020045 Loss_D_fake 0.004587
[575/5000][310/535][59127] Loss_D: -0.025544 Loss_G: 0.000889 Loss_D_real: -0.005079 Loss_D_fake 0.020466
[575/5000][315/535][59128] Loss_D: -0.024597 Loss_G: 0.006637 Loss_D_real: -0.009348 Loss_D_fake 0.015249
[575/5000][320/535][59129] Loss_D: -0.024973 Loss_G: 0.012695 Loss_D_real: -0.013966 Loss_D_fake 0.011008
[575/5000][325/535][59130] Loss_D: -0.024914 Loss_G: -0.002419 Loss_D_real: -0.002584 Loss_D_fake 0.022331
[575/5000][330/535][59131] Loss_D: -0.024524 Loss_G: 0.017885 Loss_D_real: -0.023722 Loss_D_fake 0.000802
[575/5000][335/535][59132] Loss_D: -0.026483 Loss_G: -0.004652 Loss_D_real: -0.005631 Loss_D_fake 0.020852
[575/5000][340/535][59133] Loss_D: -0.024577 Loss_G: 0.020005 Loss_D_real: -0.009313 Loss_D_fake 0.015264
[575/5000][345/535][59134] Loss_D: -0.025289 Loss_G: 0.018687 Loss_D_real: -0.022979 Loss_D_fake 0.002310
[575/5000][350/535][59135] Loss_D: -0.025873 Loss_G: 0.011747 Loss_D_real: -0.013750 Loss_D_fake 0.012124
[575/5000][355/535][59136] Loss_D: -0.025858 Loss_G: 0.014301 Loss_D_real: -0.014450 Loss_D_fake 0.011408
[575/5000][360/535][59137] Loss_D: -0.025883 Loss_G: 0.018503 Loss_D_real: -0.021846 Loss_D_fake 0.004038
[575/5000][365/535][59138] Loss_D: -0.024450 Loss_G: 0.001602 Loss_D_real: -0.014053 Loss_D_fake 0.010398
[575/5000][370/535][59139] Loss_D: -0.024761 Loss_G: 0.017476 Loss_D_real: -0.027948 Loss_D_fake -0.003187
[575/5000][375/535][59140] Loss_D: -0.025650 Loss_G: 0.018258 Loss_D_real: -0.016240 Loss_D_fake 0.009411
[575/5000][380/535][59141] Loss_D: -0.025258 Loss_G: 0.011001 Loss_D_real: -0.017445 Loss_D_fake 0.007814
[575/5000][385/535][59142] Loss_D: -0.025810 Loss_G: 0.004059 Loss_D_real: -0.001830 Loss_D_fake 0.023980
[575/5000][390/535][59143] Loss_D: -0.024091 Loss_G: 0.038876 Loss_D_real: -0.036087 Loss_D_fake -0.011996
[575/5000][395/535][59144] Loss_D: -0.023690 Loss_G: 0.037637 Loss_D_real: -0.036124 Loss_D_fake -0.012435
[575/5000][400/535][59145] Loss_D: -0.025938 Loss_G: 0.004374 Loss_D_real: -0.016158 Loss_D_fake 0.009779
[575/5000][405/535][59146] Loss_D: -0.025374 Loss_G: 0.012200 Loss_D_real: -0.016151 Loss_D_fake 0.009223
[575/5000][410/535][59147] Loss_D: -0.026148 Loss_G: 0.020169 Loss_D_real: -0.028765 Loss_D_fake -0.002617
[575/5000][415/535][59148] Loss_D: -0.024651 Loss_G: -0.020378 Loss_D_real: 0.007687 Loss_D_fake 0.032338
[575/5000][420/535][59149] Loss_D: -0.024186 Loss_G: 0.018664 Loss_D_real: -0.022468 Loss_D_fake 0.001718
[575/5000][425/535][59150] Loss_D: -0.025536 Loss_G: -0.005507 Loss_D_real: -0.001487 Loss_D_fake 0.024049
[575/5000][430/535][59151] Loss_D: -0.025043 Loss_G: 0.019754 Loss_D_real: -0.020796 Loss_D_fake 0.004246
[575/5000][435/535][59152] Loss_D: -0.025666 Loss_G: -0.008450 Loss_D_real: -0.000463 Loss_D_fake 0.025203
[575/5000][440/535][59153] Loss_D: -0.024279 Loss_G: 0.024074 Loss_D_real: -0.031742 Loss_D_fake -0.007463
[575/5000][445/535][59154] Loss_D: -0.027046 Loss_G: -0.003358 Loss_D_real: -0.010527 Loss_D_fake 0.016519
[575/5000][450/535][59155] Loss_D: -0.025311 Loss_G: 0.022819 Loss_D_real: -0.019520 Loss_D_fake 0.005791
[575/5000][455/535][59156] Loss_D: -0.025200 Loss_G: 0.025103 Loss_D_real: -0.025336 Loss_D_fake -0.000136
[575/5000][460/535][59157] Loss_D: -0.025855 Loss_G: 0.012582 Loss_D_real: -0.013163 Loss_D_fake 0.012691
[575/5000][465/535][59158] Loss_D: -0.025315 Loss_G: 0.024941 Loss_D_real: -0.027450 Loss_D_fake -0.002135
[575/5000][470/535][59159] Loss_D: -0.025784 Loss_G: 0.019052 Loss_D_real: -0.021339 Loss_D_fake 0.004444
[575/5000][475/535][59160] Loss_D: -0.026850 Loss_G: 0.001684 Loss_D_real: -0.013614 Loss_D_fake 0.013237
[575/5000][480/535][59161] Loss_D: -0.025490 Loss_G: 0.022743 Loss_D_real: -0.027157 Loss_D_fake -0.001667
[575/5000][485/535][59162] Loss_D: -0.025086 Loss_G: -0.003916 Loss_D_real: -0.000375 Loss_D_fake 0.024711
[575/5000][490/535][59163] Loss_D: -0.026125 Loss_G: 0.029105 Loss_D_real: -0.022338 Loss_D_fake 0.003787
[575/5000][495/535][59164] Loss_D: -0.025362 Loss_G: -0.000769 Loss_D_real: -0.018043 Loss_D_fake 0.007319
[575/5000][500/535][59165] Loss_D: -0.026564 Loss_G: 0.020079 Loss_D_real: -0.019100 Loss_D_fake 0.007464
[575/5000][505/535][59166] Loss_D: -0.025284 Loss_G: 0.005940 Loss_D_real: -0.001650 Loss_D_fake 0.023633
[575/5000][510/535][59167] Loss_D: -0.025847 Loss_G: 0.017091 Loss_D_real: -0.026085 Loss_D_fake -0.000239
[575/5000][515/535][59168] Loss_D: -0.025182 Loss_G: 0.018571 Loss_D_real: -0.015850 Loss_D_fake 0.009331
[575/5000][520/535][59169] Loss_D: -0.026514 Loss_G: -0.002362 Loss_D_real: -0.006316 Loss_D_fake 0.020198
[575/5000][525/535][59170] Loss_D: -0.022970 Loss_G: 0.029094 Loss_D_real: -0.026865 Loss_D_fake -0.003895
[575/5000][530/535][59171] Loss_D: -0.025960 Loss_G: 0.005361 Loss_D_real: -0.015239 Loss_D_fake 0.010721
[575/5000][535/535][59172] Loss_D: -0.023046 Loss_G: 0.022303 Loss_D_real: -0.012947 Loss_D_fake 0.010099
[576/5000][5/535][59173] Loss_D: -0.024468 Loss_G: 0.001122 Loss_D_real: 0.001982 Loss_D_fake 0.026450
[576/5000][10/535][59174] Loss_D: -0.023811 Loss_G: 0.028631 Loss_D_real: -0.034982 Loss_D_fake -0.011172
[576/5000][15/535][59175] Loss_D: -0.024773 Loss_G: 0.008463 Loss_D_real: -0.016894 Loss_D_fake 0.007880
[576/5000][20/535][59176] Loss_D: -0.023317 Loss_G: -0.006244 Loss_D_real: -0.003948 Loss_D_fake 0.019369
[576/5000][25/535][59177] Loss_D: -0.026300 Loss_G: -0.004853 Loss_D_real: -0.007352 Loss_D_fake 0.018948
[576/5000][30/535][59178] Loss_D: -0.026510 Loss_G: 0.016938 Loss_D_real: -0.024931 Loss_D_fake 0.001579
[576/5000][35/535][59179] Loss_D: -0.025264 Loss_G: 0.029335 Loss_D_real: -0.030007 Loss_D_fake -0.004743
[576/5000][40/535][59180] Loss_D: -0.027120 Loss_G: -0.000476 Loss_D_real: -0.008192 Loss_D_fake 0.018928
[576/5000][45/535][59181] Loss_D: -0.025186 Loss_G: 0.029707 Loss_D_real: -0.029842 Loss_D_fake -0.004656
[576/5000][50/535][59182] Loss_D: -0.025330 Loss_G: -0.003935 Loss_D_real: -0.001713 Loss_D_fake 0.023617
[576/5000][55/535][59183] Loss_D: -0.024347 Loss_G: 0.017294 Loss_D_real: -0.029097 Loss_D_fake -0.004750
[576/5000][60/535][59184] Loss_D: -0.024729 Loss_G: 0.003667 Loss_D_real: -0.006681 Loss_D_fake 0.018048
[576/5000][65/535][59185] Loss_D: -0.024855 Loss_G: 0.017834 Loss_D_real: -0.021188 Loss_D_fake 0.003666
[576/5000][70/535][59186] Loss_D: -0.025874 Loss_G: 0.007033 Loss_D_real: -0.018184 Loss_D_fake 0.007691
[576/5000][75/535][59187] Loss_D: -0.026323 Loss_G: 0.027575 Loss_D_real: -0.015146 Loss_D_fake 0.011177
[576/5000][80/535][59188] Loss_D: -0.024980 Loss_G: -0.003651 Loss_D_real: -0.001202 Loss_D_fake 0.023778
[576/5000][85/535][59189] Loss_D: -0.025347 Loss_G: 0.024586 Loss_D_real: -0.024800 Loss_D_fake 0.000547
[576/5000][90/535][59190] Loss_D: -0.026602 Loss_G: 0.017001 Loss_D_real: -0.025827 Loss_D_fake 0.000774
[576/5000][95/535][59191] Loss_D: -0.025543 Loss_G: 0.006560 Loss_D_real: -0.007613 Loss_D_fake 0.017929
[576/5000][100/535][59192] Loss_D: -0.024418 Loss_G: -0.003726 Loss_D_real: 0.002190 Loss_D_fake 0.026608
[576/5000][105/535][59193] Loss_D: -0.026152 Loss_G: 0.010304 Loss_D_real: -0.009597 Loss_D_fake 0.016555
[576/5000][110/535][59194] Loss_D: -0.026619 Loss_G: 0.005036 Loss_D_real: -0.015119 Loss_D_fake 0.011500
[576/5000][115/535][59195] Loss_D: -0.025158 Loss_G: 0.006773 Loss_D_real: -0.012679 Loss_D_fake 0.012479
[576/5000][120/535][59196] Loss_D: -0.025652 Loss_G: 0.000604 Loss_D_real: -0.002927 Loss_D_fake 0.022725
[576/5000][125/535][59197] Loss_D: -0.026086 Loss_G: 0.013254 Loss_D_real: -0.020119 Loss_D_fake 0.005967
[576/5000][130/535][59198] Loss_D: -0.026526 Loss_G: 0.013490 Loss_D_real: -0.023710 Loss_D_fake 0.002816
[576/5000][135/535][59199] Loss_D: -0.024237 Loss_G: 0.037545 Loss_D_real: -0.040332 Loss_D_fake -0.016095
[576/5000][140/535][59200] Loss_D: -0.023829 Loss_G: -0.007309 Loss_D_real: -0.002891 Loss_D_fake 0.020938
[576/5000][145/535][59201] Loss_D: -0.025433 Loss_G: 0.021509 Loss_D_real: -0.016985 Loss_D_fake 0.008449
[576/5000][150/535][59202] Loss_D: -0.026049 Loss_G: 0.013373 Loss_D_real: -0.020733 Loss_D_fake 0.005316
[576/5000][155/535][59203] Loss_D: -0.024497 Loss_G: 0.009159 Loss_D_real: -0.015796 Loss_D_fake 0.008702
[576/5000][160/535][59204] Loss_D: -0.023996 Loss_G: -0.004245 Loss_D_real: 0.004296 Loss_D_fake 0.028292
[576/5000][165/535][59205] Loss_D: -0.023589 Loss_G: 0.032827 Loss_D_real: -0.034421 Loss_D_fake -0.010831
[576/5000][170/535][59206] Loss_D: -0.027020 Loss_G: -0.000431 Loss_D_real: -0.014505 Loss_D_fake 0.012515
[576/5000][175/535][59207] Loss_D: -0.025329 Loss_G: 0.013350 Loss_D_real: -0.018383 Loss_D_fake 0.006945
[576/5000][180/535][59208] Loss_D: -0.024871 Loss_G: 0.013924 Loss_D_real: -0.016720 Loss_D_fake 0.008151
[576/5000][185/535][59209] Loss_D: -0.025432 Loss_G: 0.005475 Loss_D_real: -0.024312 Loss_D_fake 0.001120
[576/5000][190/535][59210] Loss_D: -0.027125 Loss_G: 0.023044 Loss_D_real: -0.027733 Loss_D_fake -0.000608
[576/5000][195/535][59211] Loss_D: -0.026334 Loss_G: -0.007020 Loss_D_real: -0.004282 Loss_D_fake 0.022052
[576/5000][200/535][59212] Loss_D: -0.025792 Loss_G: -0.005122 Loss_D_real: -0.014005 Loss_D_fake 0.011788
[576/5000][205/535][59213] Loss_D: -0.026330 Loss_G: 0.031984 Loss_D_real: -0.027774 Loss_D_fake -0.001444
[576/5000][210/535][59214] Loss_D: -0.024510 Loss_G: 0.004938 Loss_D_real: -0.004785 Loss_D_fake 0.019726
[576/5000][215/535][59215] Loss_D: -0.024974 Loss_G: 0.017394 Loss_D_real: -0.014660 Loss_D_fake 0.010314
[576/5000][220/535][59216] Loss_D: -0.024610 Loss_G: 0.007971 Loss_D_real: -0.011926 Loss_D_fake 0.012683
[576/5000][225/535][59217] Loss_D: -0.025573 Loss_G: -0.011839 Loss_D_real: -0.005341 Loss_D_fake 0.020232
[576/5000][230/535][59218] Loss_D: -0.024593 Loss_G: 0.010125 Loss_D_real: -0.013066 Loss_D_fake 0.011527
[576/5000][235/535][59219] Loss_D: -0.025874 Loss_G: 0.002587 Loss_D_real: -0.015011 Loss_D_fake 0.010863
[576/5000][240/535][59220] Loss_D: -0.025240 Loss_G: 0.008028 Loss_D_real: -0.009679 Loss_D_fake 0.015560
[576/5000][245/535][59221] Loss_D: -0.027617 Loss_G: 0.016223 Loss_D_real: -0.013564 Loss_D_fake 0.014054
[576/5000][250/535][59222] Loss_D: -0.025303 Loss_G: 0.027195 Loss_D_real: -0.026701 Loss_D_fake -0.001397
[576/5000][255/535][59223] Loss_D: -0.025967 Loss_G: 0.035503 Loss_D_real: -0.019752 Loss_D_fake 0.006216
[576/5000][260/535][59224] Loss_D: -0.025880 Loss_G: 0.022883 Loss_D_real: -0.022512 Loss_D_fake 0.003368
[576/5000][265/535][59225] Loss_D: -0.027018 Loss_G: 0.020788 Loss_D_real: -0.018039 Loss_D_fake 0.008979
[576/5000][270/535][59226] Loss_D: -0.024682 Loss_G: 0.016952 Loss_D_real: -0.016717 Loss_D_fake 0.007965
[576/5000][275/535][59227] Loss_D: -0.026066 Loss_G: -0.004076 Loss_D_real: -0.006077 Loss_D_fake 0.019989
[576/5000][280/535][59228] Loss_D: -0.024336 Loss_G: 0.014376 Loss_D_real: -0.024208 Loss_D_fake 0.000128
[576/5000][285/535][59229] Loss_D: -0.025878 Loss_G: -0.000046 Loss_D_real: -0.009503 Loss_D_fake 0.016376
[576/5000][290/535][59230] Loss_D: -0.025172 Loss_G: 0.033383 Loss_D_real: -0.030856 Loss_D_fake -0.005684
[576/5000][295/535][59231] Loss_D: -0.026034 Loss_G: 0.025686 Loss_D_real: -0.024798 Loss_D_fake 0.001235
[576/5000][300/535][59232] Loss_D: -0.024895 Loss_G: 0.017603 Loss_D_real: -0.025626 Loss_D_fake -0.000730
[576/5000][305/535][59233] Loss_D: -0.026632 Loss_G: 0.029085 Loss_D_real: -0.033997 Loss_D_fake -0.007364
[576/5000][310/535][59234] Loss_D: -0.023917 Loss_G: 0.033259 Loss_D_real: -0.026404 Loss_D_fake -0.002487
[576/5000][315/535][59235] Loss_D: -0.022410 Loss_G: -0.009253 Loss_D_real: 0.009490 Loss_D_fake 0.031900
[576/5000][320/535][59236] Loss_D: -0.024382 Loss_G: 0.014534 Loss_D_real: -0.026647 Loss_D_fake -0.002265
[576/5000][325/535][59237] Loss_D: -0.024956 Loss_G: 0.006126 Loss_D_real: -0.016368 Loss_D_fake 0.008588
[576/5000][330/535][59238] Loss_D: -0.025916 Loss_G: 0.015167 Loss_D_real: -0.028964 Loss_D_fake -0.003048
[576/5000][335/535][59239] Loss_D: -0.024705 Loss_G: 0.032914 Loss_D_real: -0.040870 Loss_D_fake -0.016165
[576/5000][340/535][59240] Loss_D: -0.026618 Loss_G: 0.018374 Loss_D_real: -0.031712 Loss_D_fake -0.005093
[576/5000][345/535][59241] Loss_D: -0.024374 Loss_G: 0.031791 Loss_D_real: -0.035334 Loss_D_fake -0.010960
[576/5000][350/535][59242] Loss_D: -0.024792 Loss_G: 0.026408 Loss_D_real: -0.025480 Loss_D_fake -0.000689
[576/5000][355/535][59243] Loss_D: -0.027244 Loss_G: 0.006268 Loss_D_real: -0.010059 Loss_D_fake 0.017185
[576/5000][360/535][59244] Loss_D: -0.025701 Loss_G: 0.008669 Loss_D_real: -0.016733 Loss_D_fake 0.008969
[576/5000][365/535][59245] Loss_D: -0.025860 Loss_G: 0.000512 Loss_D_real: -0.018789 Loss_D_fake 0.007071
[576/5000][370/535][59246] Loss_D: -0.026028 Loss_G: 0.000787 Loss_D_real: -0.008038 Loss_D_fake 0.017990
[576/5000][375/535][59247] Loss_D: -0.024951 Loss_G: 0.007465 Loss_D_real: -0.010364 Loss_D_fake 0.014588
[576/5000][380/535][59248] Loss_D: -0.024920 Loss_G: 0.015889 Loss_D_real: -0.020406 Loss_D_fake 0.004514
[576/5000][385/535][59249] Loss_D: -0.024767 Loss_G: 0.009835 Loss_D_real: -0.003334 Loss_D_fake 0.021433
[576/5000][390/535][59250] Loss_D: -0.023152 Loss_G: 0.034063 Loss_D_real: -0.035647 Loss_D_fake -0.012496
[576/5000][395/535][59251] Loss_D: -0.026938 Loss_G: 0.000533 Loss_D_real: -0.020941 Loss_D_fake 0.005997
[576/5000][400/535][59252] Loss_D: -0.024917 Loss_G: 0.032842 Loss_D_real: -0.027353 Loss_D_fake -0.002436
[576/5000][405/535][59253] Loss_D: -0.026097 Loss_G: 0.018782 Loss_D_real: -0.023719 Loss_D_fake 0.002378
[576/5000][410/535][59254] Loss_D: -0.025041 Loss_G: 0.006641 Loss_D_real: -0.014192 Loss_D_fake 0.010850
[576/5000][415/535][59255] Loss_D: -0.026329 Loss_G: 0.022342 Loss_D_real: -0.024482 Loss_D_fake 0.001847
[576/5000][420/535][59256] Loss_D: -0.026099 Loss_G: 0.007042 Loss_D_real: -0.014061 Loss_D_fake 0.012037
[576/5000][425/535][59257] Loss_D: -0.027036 Loss_G: 0.019678 Loss_D_real: -0.021946 Loss_D_fake 0.005090
[576/5000][430/535][59258] Loss_D: -0.025085 Loss_G: 0.002819 Loss_D_real: -0.010335 Loss_D_fake 0.014751
[576/5000][435/535][59259] Loss_D: -0.024850 Loss_G: 0.011058 Loss_D_real: -0.020388 Loss_D_fake 0.004462
[576/5000][440/535][59260] Loss_D: -0.024638 Loss_G: 0.029779 Loss_D_real: -0.028283 Loss_D_fake -0.003645
[576/5000][445/535][59261] Loss_D: -0.025637 Loss_G: -0.007849 Loss_D_real: -0.000176 Loss_D_fake 0.025461
[576/5000][450/535][59262] Loss_D: -0.025934 Loss_G: 0.023001 Loss_D_real: -0.017556 Loss_D_fake 0.008378
[576/5000][455/535][59263] Loss_D: -0.026629 Loss_G: 0.006577 Loss_D_real: -0.009413 Loss_D_fake 0.017216
[576/5000][460/535][59264] Loss_D: -0.026341 Loss_G: 0.019247 Loss_D_real: -0.021241 Loss_D_fake 0.005099
[576/5000][465/535][59265] Loss_D: -0.025263 Loss_G: 0.024715 Loss_D_real: -0.017841 Loss_D_fake 0.007422
[576/5000][470/535][59266] Loss_D: -0.025043 Loss_G: 0.004648 Loss_D_real: -0.016498 Loss_D_fake 0.008545
[576/5000][475/535][59267] Loss_D: -0.026246 Loss_G: 0.010512 Loss_D_real: -0.014863 Loss_D_fake 0.011383
[576/5000][480/535][59268] Loss_D: -0.026575 Loss_G: 0.006959 Loss_D_real: -0.006907 Loss_D_fake 0.019668
[576/5000][485/535][59269] Loss_D: -0.026092 Loss_G: 0.007461 Loss_D_real: -0.010443 Loss_D_fake 0.015649
[576/5000][490/535][59270] Loss_D: -0.024546 Loss_G: 0.025337 Loss_D_real: -0.024165 Loss_D_fake 0.000381
[576/5000][495/535][59271] Loss_D: -0.024720 Loss_G: 0.016309 Loss_D_real: -0.016687 Loss_D_fake 0.008032
[576/5000][500/535][59272] Loss_D: -0.026767 Loss_G: 0.002685 Loss_D_real: -0.012399 Loss_D_fake 0.014368
[576/5000][505/535][59273] Loss_D: -0.026344 Loss_G: 0.006180 Loss_D_real: -0.010032 Loss_D_fake 0.016312
[576/5000][510/535][59274] Loss_D: -0.023947 Loss_G: 0.027200 Loss_D_real: -0.030771 Loss_D_fake -0.006824
[576/5000][515/535][59275] Loss_D: -0.025489 Loss_G: 0.009427 Loss_D_real: -0.005145 Loss_D_fake 0.020343
[576/5000][520/535][59276] Loss_D: -0.026075 Loss_G: 0.014972 Loss_D_real: -0.021245 Loss_D_fake 0.004830
[576/5000][525/535][59277] Loss_D: -0.025130 Loss_G: 0.018906 Loss_D_real: -0.017141 Loss_D_fake 0.007988
[576/5000][530/535][59278] Loss_D: -0.024344 Loss_G: 0.009957 Loss_D_real: -0.021313 Loss_D_fake 0.003031
[576/5000][535/535][59279] Loss_D: -0.020280 Loss_G: 0.049492 Loss_D_real: -0.013143 Loss_D_fake 0.007137
[577/5000][5/535][59280] Loss_D: -0.025649 Loss_G: 0.003457 Loss_D_real: -0.018777 Loss_D_fake 0.006872
[577/5000][10/535][59281] Loss_D: -0.024695 Loss_G: 0.000381 Loss_D_real: -0.013431 Loss_D_fake 0.011264
[577/5000][15/535][59282] Loss_D: -0.025381 Loss_G: 0.004520 Loss_D_real: -0.019230 Loss_D_fake 0.006151
[577/5000][20/535][59283] Loss_D: -0.025475 Loss_G: 0.018304 Loss_D_real: -0.023421 Loss_D_fake 0.002054
[577/5000][25/535][59284] Loss_D: -0.024830 Loss_G: -0.006897 Loss_D_real: 0.001878 Loss_D_fake 0.026708
[577/5000][30/535][59285] Loss_D: -0.025149 Loss_G: 0.018882 Loss_D_real: -0.009518 Loss_D_fake 0.015630
[577/5000][35/535][59286] Loss_D: -0.024822 Loss_G: 0.019682 Loss_D_real: -0.023194 Loss_D_fake 0.001628
[577/5000][40/535][59287] Loss_D: -0.025345 Loss_G: -0.000837 Loss_D_real: -0.010054 Loss_D_fake 0.015291
[577/5000][45/535][59288] Loss_D: -0.024826 Loss_G: 0.023745 Loss_D_real: -0.020730 Loss_D_fake 0.004096
[577/5000][50/535][59289] Loss_D: -0.026032 Loss_G: -0.004225 Loss_D_real: -0.004296 Loss_D_fake 0.021736
[577/5000][55/535][59290] Loss_D: -0.025947 Loss_G: 0.005637 Loss_D_real: -0.012830 Loss_D_fake 0.013117
[577/5000][60/535][59291] Loss_D: -0.024621 Loss_G: 0.038348 Loss_D_real: -0.035315 Loss_D_fake -0.010693
[577/5000][65/535][59292] Loss_D: -0.024527 Loss_G: 0.012682 Loss_D_real: -0.021788 Loss_D_fake 0.002740
[577/5000][70/535][59293] Loss_D: -0.024266 Loss_G: 0.027142 Loss_D_real: -0.023933 Loss_D_fake 0.000333
[577/5000][75/535][59294] Loss_D: -0.025533 Loss_G: 0.019975 Loss_D_real: -0.015330 Loss_D_fake 0.010203
[577/5000][80/535][59295] Loss_D: -0.025918 Loss_G: 0.009069 Loss_D_real: -0.015311 Loss_D_fake 0.010607
[577/5000][85/535][59296] Loss_D: -0.023991 Loss_G: 0.034912 Loss_D_real: -0.029386 Loss_D_fake -0.005395
[577/5000][90/535][59297] Loss_D: -0.026679 Loss_G: -0.001311 Loss_D_real: -0.007495 Loss_D_fake 0.019184
[577/5000][95/535][59298] Loss_D: -0.026442 Loss_G: 0.012221 Loss_D_real: -0.024598 Loss_D_fake 0.001844
[577/5000][100/535][59299] Loss_D: -0.025901 Loss_G: 0.004352 Loss_D_real: -0.021169 Loss_D_fake 0.004732
[577/5000][105/535][59300] Loss_D: -0.026550 Loss_G: 0.001710 Loss_D_real: -0.007690 Loss_D_fake 0.018860
[577/5000][110/535][59301] Loss_D: -0.025483 Loss_G: 0.006722 Loss_D_real: -0.013533 Loss_D_fake 0.011950
[577/5000][115/535][59302] Loss_D: -0.025302 Loss_G: 0.018615 Loss_D_real: -0.025602 Loss_D_fake -0.000299
[577/5000][120/535][59303] Loss_D: -0.026394 Loss_G: 0.022638 Loss_D_real: -0.028140 Loss_D_fake -0.001747
[577/5000][125/535][59304] Loss_D: -0.025009 Loss_G: 0.013808 Loss_D_real: -0.017237 Loss_D_fake 0.007772
[577/5000][130/535][59305] Loss_D: -0.026080 Loss_G: 0.013539 Loss_D_real: -0.021505 Loss_D_fake 0.004574
[577/5000][135/535][59306] Loss_D: -0.025439 Loss_G: 0.000383 Loss_D_real: -0.014486 Loss_D_fake 0.010952
[577/5000][140/535][59307] Loss_D: -0.025759 Loss_G: 0.010422 Loss_D_real: -0.022160 Loss_D_fake 0.003599
[577/5000][145/535][59308] Loss_D: -0.025054 Loss_G: 0.024448 Loss_D_real: -0.021564 Loss_D_fake 0.003490
[577/5000][150/535][59309] Loss_D: -0.025311 Loss_G: 0.002689 Loss_D_real: -0.013623 Loss_D_fake 0.011688
[577/5000][155/535][59310] Loss_D: -0.023730 Loss_G: -0.000222 Loss_D_real: -0.003471 Loss_D_fake 0.020259
[577/5000][160/535][59311] Loss_D: -0.024693 Loss_G: 0.027820 Loss_D_real: -0.019122 Loss_D_fake 0.005572
[577/5000][165/535][59312] Loss_D: -0.025346 Loss_G: 0.011986 Loss_D_real: -0.017291 Loss_D_fake 0.008055
[577/5000][170/535][59313] Loss_D: -0.024533 Loss_G: 0.030206 Loss_D_real: -0.032397 Loss_D_fake -0.007865
[577/5000][175/535][59314] Loss_D: -0.025010 Loss_G: 0.013804 Loss_D_real: -0.019203 Loss_D_fake 0.005808
[577/5000][180/535][59315] Loss_D: -0.025644 Loss_G: 0.008205 Loss_D_real: -0.008779 Loss_D_fake 0.016865
[577/5000][185/535][59316] Loss_D: -0.024609 Loss_G: 0.013903 Loss_D_real: -0.021464 Loss_D_fake 0.003144
[577/5000][190/535][59317] Loss_D: -0.025306 Loss_G: 0.021315 Loss_D_real: -0.027331 Loss_D_fake -0.002026
[577/5000][195/535][59318] Loss_D: -0.025226 Loss_G: 0.014535 Loss_D_real: -0.012151 Loss_D_fake 0.013075
[577/5000][200/535][59319] Loss_D: -0.025544 Loss_G: 0.017991 Loss_D_real: -0.024729 Loss_D_fake 0.000816
[577/5000][205/535][59320] Loss_D: -0.024327 Loss_G: -0.013982 Loss_D_real: 0.005255 Loss_D_fake 0.029582
[577/5000][210/535][59321] Loss_D: -0.025432 Loss_G: 0.024817 Loss_D_real: -0.020968 Loss_D_fake 0.004465
[577/5000][215/535][59322] Loss_D: -0.025639 Loss_G: 0.026594 Loss_D_real: -0.032424 Loss_D_fake -0.006785
[577/5000][220/535][59323] Loss_D: -0.024191 Loss_G: -0.002296 Loss_D_real: 0.000537 Loss_D_fake 0.024728
[577/5000][225/535][59324] Loss_D: -0.026257 Loss_G: 0.014110 Loss_D_real: -0.014652 Loss_D_fake 0.011605
[577/5000][230/535][59325] Loss_D: -0.026275 Loss_G: 0.007583 Loss_D_real: -0.008377 Loss_D_fake 0.017898
[577/5000][235/535][59326] Loss_D: -0.025421 Loss_G: 0.023552 Loss_D_real: -0.031216 Loss_D_fake -0.005795
[577/5000][240/535][59327] Loss_D: -0.027357 Loss_G: 0.021951 Loss_D_real: -0.026880 Loss_D_fake 0.000477
[577/5000][245/535][59328] Loss_D: -0.027074 Loss_G: 0.004515 Loss_D_real: -0.006597 Loss_D_fake 0.020477
[577/5000][250/535][59329] Loss_D: -0.025598 Loss_G: 0.016762 Loss_D_real: -0.025126 Loss_D_fake 0.000471
[577/5000][255/535][59330] Loss_D: -0.024679 Loss_G: 0.033208 Loss_D_real: -0.025697 Loss_D_fake -0.001018
[577/5000][260/535][59331] Loss_D: -0.025725 Loss_G: 0.019314 Loss_D_real: -0.014357 Loss_D_fake 0.011368
[577/5000][265/535][59332] Loss_D: -0.026654 Loss_G: 0.016906 Loss_D_real: -0.026696 Loss_D_fake -0.000042
[577/5000][270/535][59333] Loss_D: -0.024725 Loss_G: 0.006376 Loss_D_real: -0.020734 Loss_D_fake 0.003990
[577/5000][275/535][59334] Loss_D: -0.023723 Loss_G: 0.023252 Loss_D_real: -0.031064 Loss_D_fake -0.007341
[577/5000][280/535][59335] Loss_D: -0.025431 Loss_G: 0.007759 Loss_D_real: -0.006020 Loss_D_fake 0.019411
[577/5000][285/535][59336] Loss_D: -0.023448 Loss_G: 0.022075 Loss_D_real: -0.035345 Loss_D_fake -0.011897
[577/5000][290/535][59337] Loss_D: -0.023772 Loss_G: 0.029462 Loss_D_real: -0.029169 Loss_D_fake -0.005396
[577/5000][295/535][59338] Loss_D: -0.024811 Loss_G: -0.005722 Loss_D_real: -0.007612 Loss_D_fake 0.017198
[577/5000][300/535][59339] Loss_D: -0.025775 Loss_G: 0.023049 Loss_D_real: -0.019481 Loss_D_fake 0.006294
[577/5000][305/535][59340] Loss_D: -0.024429 Loss_G: -0.013595 Loss_D_real: -0.002280 Loss_D_fake 0.022149
[577/5000][310/535][59341] Loss_D: -0.025243 Loss_G: 0.005670 Loss_D_real: -0.009232 Loss_D_fake 0.016012
[577/5000][315/535][59342] Loss_D: -0.023482 Loss_G: 0.023962 Loss_D_real: -0.021664 Loss_D_fake 0.001818
[577/5000][320/535][59343] Loss_D: -0.024285 Loss_G: 0.003997 Loss_D_real: -0.011068 Loss_D_fake 0.013216
[577/5000][325/535][59344] Loss_D: -0.025784 Loss_G: 0.017521 Loss_D_real: -0.029417 Loss_D_fake -0.003633
[577/5000][330/535][59345] Loss_D: -0.025357 Loss_G: 0.006688 Loss_D_real: -0.012333 Loss_D_fake 0.013024
[577/5000][335/535][59346] Loss_D: -0.025835 Loss_G: -0.001997 Loss_D_real: -0.002792 Loss_D_fake 0.023042
[577/5000][340/535][59347] Loss_D: -0.025716 Loss_G: 0.001315 Loss_D_real: -0.006956 Loss_D_fake 0.018760
[577/5000][345/535][59348] Loss_D: -0.025513 Loss_G: 0.015595 Loss_D_real: -0.015102 Loss_D_fake 0.010411
[577/5000][350/535][59349] Loss_D: -0.023701 Loss_G: -0.002816 Loss_D_real: -0.008875 Loss_D_fake 0.014826
[577/5000][355/535][59350] Loss_D: -0.025614 Loss_G: -0.003570 Loss_D_real: -0.003320 Loss_D_fake 0.022294
[577/5000][360/535][59351] Loss_D: -0.025916 Loss_G: 0.012843 Loss_D_real: -0.014608 Loss_D_fake 0.011308
[577/5000][365/535][59352] Loss_D: -0.025619 Loss_G: 0.003271 Loss_D_real: -0.010938 Loss_D_fake 0.014681
[577/5000][370/535][59353] Loss_D: -0.024886 Loss_G: 0.027365 Loss_D_real: -0.021006 Loss_D_fake 0.003880
[577/5000][375/535][59354] Loss_D: -0.025940 Loss_G: 0.002494 Loss_D_real: -0.007027 Loss_D_fake 0.018913
[577/5000][380/535][59355] Loss_D: -0.024988 Loss_G: 0.028110 Loss_D_real: -0.029363 Loss_D_fake -0.004375
[577/5000][385/535][59356] Loss_D: -0.025946 Loss_G: 0.024472 Loss_D_real: -0.019143 Loss_D_fake 0.006803
[577/5000][390/535][59357] Loss_D: -0.025656 Loss_G: 0.011263 Loss_D_real: -0.022580 Loss_D_fake 0.003076
[577/5000][395/535][59358] Loss_D: -0.026311 Loss_G: 0.022742 Loss_D_real: -0.015744 Loss_D_fake 0.010567
[577/5000][400/535][59359] Loss_D: -0.026459 Loss_G: -0.003471 Loss_D_real: -0.011213 Loss_D_fake 0.015246
[577/5000][405/535][59360] Loss_D: -0.023727 Loss_G: 0.031197 Loss_D_real: -0.037193 Loss_D_fake -0.013467
[577/5000][410/535][59361] Loss_D: -0.024502 Loss_G: -0.008656 Loss_D_real: -0.007604 Loss_D_fake 0.016898
[577/5000][415/535][59362] Loss_D: -0.025303 Loss_G: 0.017430 Loss_D_real: -0.025268 Loss_D_fake 0.000036
[577/5000][420/535][59363] Loss_D: -0.025603 Loss_G: 0.024726 Loss_D_real: -0.024471 Loss_D_fake 0.001132
[577/5000][425/535][59364] Loss_D: -0.025381 Loss_G: 0.018667 Loss_D_real: -0.027360 Loss_D_fake -0.001978
[577/5000][430/535][59365] Loss_D: -0.025708 Loss_G: 0.018467 Loss_D_real: -0.019300 Loss_D_fake 0.006407
[577/5000][435/535][59366] Loss_D: -0.026288 Loss_G: 0.022294 Loss_D_real: -0.029996 Loss_D_fake -0.003708
[577/5000][440/535][59367] Loss_D: -0.026551 Loss_G: -0.003183 Loss_D_real: 0.001351 Loss_D_fake 0.027902
[577/5000][445/535][59368] Loss_D: -0.025719 Loss_G: 0.013498 Loss_D_real: -0.014596 Loss_D_fake 0.011123
[577/5000][450/535][59369] Loss_D: -0.023455 Loss_G: -0.011988 Loss_D_real: -0.001350 Loss_D_fake 0.022105
[577/5000][455/535][59370] Loss_D: -0.023913 Loss_G: 0.007610 Loss_D_real: -0.021400 Loss_D_fake 0.002514
[577/5000][460/535][59371] Loss_D: -0.025833 Loss_G: 0.014941 Loss_D_real: -0.014069 Loss_D_fake 0.011764
[577/5000][465/535][59372] Loss_D: -0.025178 Loss_G: -0.009141 Loss_D_real: 0.002438 Loss_D_fake 0.027616
[577/5000][470/535][59373] Loss_D: -0.024261 Loss_G: 0.017273 Loss_D_real: -0.026555 Loss_D_fake -0.002294
[577/5000][475/535][59374] Loss_D: -0.025964 Loss_G: 0.014895 Loss_D_real: -0.008695 Loss_D_fake 0.017269
[577/5000][480/535][59375] Loss_D: -0.024779 Loss_G: 0.006326 Loss_D_real: -0.017672 Loss_D_fake 0.007107
[577/5000][485/535][59376] Loss_D: -0.025112 Loss_G: -0.020681 Loss_D_real: 0.003542 Loss_D_fake 0.028654
[577/5000][490/535][59377] Loss_D: -0.025750 Loss_G: 0.020034 Loss_D_real: -0.012338 Loss_D_fake 0.013413
[577/5000][495/535][59378] Loss_D: -0.025264 Loss_G: 0.027564 Loss_D_real: -0.029922 Loss_D_fake -0.004658
[577/5000][500/535][59379] Loss_D: -0.024289 Loss_G: -0.011437 Loss_D_real: -0.000766 Loss_D_fake 0.023523
[577/5000][505/535][59380] Loss_D: -0.025373 Loss_G: 0.025513 Loss_D_real: -0.021652 Loss_D_fake 0.003721
[577/5000][510/535][59381] Loss_D: -0.024699 Loss_G: 0.009475 Loss_D_real: -0.017065 Loss_D_fake 0.007634
[577/5000][515/535][59382] Loss_D: -0.024485 Loss_G: 0.008011 Loss_D_real: -0.002375 Loss_D_fake 0.022111
[577/5000][520/535][59383] Loss_D: -0.024774 Loss_G: 0.003932 Loss_D_real: -0.016318 Loss_D_fake 0.008456
[577/5000][525/535][59384] Loss_D: -0.024763 Loss_G: 0.007565 Loss_D_real: -0.005065 Loss_D_fake 0.019698
[577/5000][530/535][59385] Loss_D: -0.026042 Loss_G: 0.006634 Loss_D_real: -0.005372 Loss_D_fake 0.020671
[577/5000][535/535][59386] Loss_D: -0.025033 Loss_G: 0.001954 Loss_D_real: -0.022923 Loss_D_fake 0.002110
[578/5000][5/535][59387] Loss_D: -0.025834 Loss_G: 0.013613 Loss_D_real: -0.007845 Loss_D_fake 0.017989
[578/5000][10/535][59388] Loss_D: -0.024991 Loss_G: 0.015633 Loss_D_real: -0.020313 Loss_D_fake 0.004678
[578/5000][15/535][59389] Loss_D: -0.025981 Loss_G: 0.033500 Loss_D_real: -0.022322 Loss_D_fake 0.003659
[578/5000][20/535][59390] Loss_D: -0.026984 Loss_G: 0.010134 Loss_D_real: -0.007088 Loss_D_fake 0.019896
[578/5000][25/535][59391] Loss_D: -0.026005 Loss_G: 0.009649 Loss_D_real: -0.012126 Loss_D_fake 0.013878
[578/5000][30/535][59392] Loss_D: -0.025300 Loss_G: 0.006037 Loss_D_real: -0.020462 Loss_D_fake 0.004838
[578/5000][35/535][59393] Loss_D: -0.025464 Loss_G: 0.024826 Loss_D_real: -0.028107 Loss_D_fake -0.002643
[578/5000][40/535][59394] Loss_D: -0.025677 Loss_G: 0.016187 Loss_D_real: -0.030382 Loss_D_fake -0.004705
[578/5000][45/535][59395] Loss_D: -0.026945 Loss_G: 0.022797 Loss_D_real: -0.027384 Loss_D_fake -0.000439
[578/5000][50/535][59396] Loss_D: -0.027325 Loss_G: 0.023979 Loss_D_real: -0.024147 Loss_D_fake 0.003178
[578/5000][55/535][59397] Loss_D: -0.025117 Loss_G: 0.015346 Loss_D_real: -0.022956 Loss_D_fake 0.002161
[578/5000][60/535][59398] Loss_D: -0.026676 Loss_G: 0.020387 Loss_D_real: -0.019262 Loss_D_fake 0.007414
[578/5000][65/535][59399] Loss_D: -0.025720 Loss_G: 0.009214 Loss_D_real: -0.016518 Loss_D_fake 0.009202
[578/5000][70/535][59400] Loss_D: -0.024010 Loss_G: 0.042876 Loss_D_real: -0.034304 Loss_D_fake -0.010294
[578/5000][75/535][59401] Loss_D: -0.025182 Loss_G: 0.016871 Loss_D_real: -0.016069 Loss_D_fake 0.009113
[578/5000][80/535][59402] Loss_D: -0.025855 Loss_G: 0.016199 Loss_D_real: -0.024840 Loss_D_fake 0.001015
[578/5000][85/535][59403] Loss_D: -0.024787 Loss_G: 0.004823 Loss_D_real: -0.007328 Loss_D_fake 0.017459
[578/5000][90/535][59404] Loss_D: -0.025093 Loss_G: 0.024513 Loss_D_real: -0.019981 Loss_D_fake 0.005112
[578/5000][95/535][59405] Loss_D: -0.025362 Loss_G: 0.011724 Loss_D_real: -0.018430 Loss_D_fake 0.006932
[578/5000][100/535][59406] Loss_D: -0.024737 Loss_G: 0.010001 Loss_D_real: -0.013702 Loss_D_fake 0.011035
[578/5000][105/535][59407] Loss_D: -0.024904 Loss_G: 0.027302 Loss_D_real: -0.028109 Loss_D_fake -0.003205
[578/5000][110/535][59408] Loss_D: -0.026300 Loss_G: 0.000108 Loss_D_real: -0.008368 Loss_D_fake 0.017932
[578/5000][115/535][59409] Loss_D: -0.025263 Loss_G: 0.019064 Loss_D_real: -0.015179 Loss_D_fake 0.010084
[578/5000][120/535][59410] Loss_D: -0.026577 Loss_G: 0.001935 Loss_D_real: -0.012305 Loss_D_fake 0.014272
[578/5000][125/535][59411] Loss_D: -0.027484 Loss_G: 0.001201 Loss_D_real: -0.010496 Loss_D_fake 0.016987
[578/5000][130/535][59412] Loss_D: -0.025851 Loss_G: -0.001388 Loss_D_real: -0.009673 Loss_D_fake 0.016178
[578/5000][135/535][59413] Loss_D: -0.026039 Loss_G: 0.002598 Loss_D_real: -0.012460 Loss_D_fake 0.013579
[578/5000][140/535][59414] Loss_D: -0.024809 Loss_G: -0.008017 Loss_D_real: -0.005299 Loss_D_fake 0.019510
[578/5000][145/535][59415] Loss_D: -0.025450 Loss_G: 0.003834 Loss_D_real: -0.011602 Loss_D_fake 0.013848
[578/5000][150/535][59416] Loss_D: -0.025858 Loss_G: 0.002142 Loss_D_real: -0.013089 Loss_D_fake 0.012769
[578/5000][155/535][59417] Loss_D: -0.023348 Loss_G: 0.028864 Loss_D_real: -0.033317 Loss_D_fake -0.009970
[578/5000][160/535][59418] Loss_D: -0.024189 Loss_G: -0.005800 Loss_D_real: -0.000067 Loss_D_fake 0.024123
[578/5000][165/535][59419] Loss_D: -0.025036 Loss_G: -0.009740 Loss_D_real: -0.006437 Loss_D_fake 0.018599
[578/5000][170/535][59420] Loss_D: -0.024241 Loss_G: 0.032447 Loss_D_real: -0.026591 Loss_D_fake -0.002350
[578/5000][175/535][59421] Loss_D: -0.024790 Loss_G: 0.039765 Loss_D_real: -0.030384 Loss_D_fake -0.005594
[578/5000][180/535][59422] Loss_D: -0.024810 Loss_G: 0.013898 Loss_D_real: -0.008713 Loss_D_fake 0.016097
[578/5000][185/535][59423] Loss_D: -0.023878 Loss_G: 0.033742 Loss_D_real: -0.033745 Loss_D_fake -0.009866
[578/5000][190/535][59424] Loss_D: -0.026349 Loss_G: 0.018217 Loss_D_real: -0.018395 Loss_D_fake 0.007955
[578/5000][195/535][59425] Loss_D: -0.025268 Loss_G: 0.013675 Loss_D_real: -0.031643 Loss_D_fake -0.006375
[578/5000][200/535][59426] Loss_D: -0.026115 Loss_G: 0.012182 Loss_D_real: 0.000338 Loss_D_fake 0.026454
[578/5000][205/535][59427] Loss_D: -0.025504 Loss_G: 0.000096 Loss_D_real: -0.005556 Loss_D_fake 0.019949
[578/5000][210/535][59428] Loss_D: -0.024296 Loss_G: 0.025376 Loss_D_real: -0.033179 Loss_D_fake -0.008882
[578/5000][215/535][59429] Loss_D: -0.026723 Loss_G: 0.000847 Loss_D_real: 0.000581 Loss_D_fake 0.027305
[578/5000][220/535][59430] Loss_D: -0.025589 Loss_G: 0.018017 Loss_D_real: -0.016322 Loss_D_fake 0.009267
[578/5000][225/535][59431] Loss_D: -0.025135 Loss_G: 0.007885 Loss_D_real: -0.008106 Loss_D_fake 0.017029
[578/5000][230/535][59432] Loss_D: -0.024408 Loss_G: 0.016439 Loss_D_real: -0.031267 Loss_D_fake -0.006860
[578/5000][235/535][59433] Loss_D: -0.025876 Loss_G: 0.012534 Loss_D_real: -0.017063 Loss_D_fake 0.008812
[578/5000][240/535][59434] Loss_D: -0.024995 Loss_G: 0.007182 Loss_D_real: -0.019308 Loss_D_fake 0.005687
[578/5000][245/535][59435] Loss_D: -0.024915 Loss_G: 0.031068 Loss_D_real: -0.017765 Loss_D_fake 0.007150
[578/5000][250/535][59436] Loss_D: -0.024445 Loss_G: 0.011379 Loss_D_real: -0.015570 Loss_D_fake 0.008876
[578/5000][255/535][59437] Loss_D: -0.026444 Loss_G: 0.017830 Loss_D_real: -0.022464 Loss_D_fake 0.003981
[578/5000][260/535][59438] Loss_D: -0.026567 Loss_G: 0.001511 Loss_D_real: -0.007869 Loss_D_fake 0.018698
[578/5000][265/535][59439] Loss_D: -0.024576 Loss_G: 0.024714 Loss_D_real: -0.028050 Loss_D_fake -0.003474
[578/5000][270/535][59440] Loss_D: -0.024351 Loss_G: 0.005983 Loss_D_real: -0.012466 Loss_D_fake 0.011885
[578/5000][275/535][59441] Loss_D: -0.025539 Loss_G: 0.017960 Loss_D_real: -0.019802 Loss_D_fake 0.005737
[578/5000][280/535][59442] Loss_D: -0.025473 Loss_G: 0.014809 Loss_D_real: -0.025601 Loss_D_fake -0.000128
[578/5000][285/535][59443] Loss_D: -0.024174 Loss_G: 0.003453 Loss_D_real: -0.014017 Loss_D_fake 0.010158
[578/5000][290/535][59444] Loss_D: -0.024338 Loss_G: 0.027152 Loss_D_real: -0.029021 Loss_D_fake -0.004683
[578/5000][295/535][59445] Loss_D: -0.025996 Loss_G: 0.012320 Loss_D_real: -0.017080 Loss_D_fake 0.008915
[578/5000][300/535][59446] Loss_D: -0.024291 Loss_G: 0.019878 Loss_D_real: -0.031542 Loss_D_fake -0.007251
[578/5000][305/535][59447] Loss_D: -0.024525 Loss_G: 0.040757 Loss_D_real: -0.037514 Loss_D_fake -0.012989
[578/5000][310/535][59448] Loss_D: -0.024104 Loss_G: 0.030707 Loss_D_real: -0.028649 Loss_D_fake -0.004545
[578/5000][315/535][59449] Loss_D: -0.025959 Loss_G: 0.009911 Loss_D_real: -0.025115 Loss_D_fake 0.000844
[578/5000][320/535][59450] Loss_D: -0.025865 Loss_G: 0.007112 Loss_D_real: -0.013397 Loss_D_fake 0.012467
[578/5000][325/535][59451] Loss_D: -0.024138 Loss_G: 0.014338 Loss_D_real: -0.022154 Loss_D_fake 0.001984
[578/5000][330/535][59452] Loss_D: -0.025402 Loss_G: 0.002230 Loss_D_real: -0.015166 Loss_D_fake 0.010236
[578/5000][335/535][59453] Loss_D: -0.025040 Loss_G: 0.012656 Loss_D_real: -0.020066 Loss_D_fake 0.004974
[578/5000][340/535][59454] Loss_D: -0.023508 Loss_G: 0.030241 Loss_D_real: -0.026123 Loss_D_fake -0.002615
[578/5000][345/535][59455] Loss_D: -0.025363 Loss_G: -0.001218 Loss_D_real: -0.008419 Loss_D_fake 0.016944
[578/5000][350/535][59456] Loss_D: -0.024099 Loss_G: 0.028811 Loss_D_real: -0.033458 Loss_D_fake -0.009359
[578/5000][355/535][59457] Loss_D: -0.025572 Loss_G: -0.006046 Loss_D_real: -0.003973 Loss_D_fake 0.021600
[578/5000][360/535][59458] Loss_D: -0.026132 Loss_G: 0.015617 Loss_D_real: -0.018143 Loss_D_fake 0.007988
[578/5000][365/535][59459] Loss_D: -0.023815 Loss_G: 0.006469 Loss_D_real: -0.015487 Loss_D_fake 0.008328
[578/5000][370/535][59460] Loss_D: -0.024498 Loss_G: 0.024245 Loss_D_real: -0.033040 Loss_D_fake -0.008542
[578/5000][375/535][59461] Loss_D: -0.025347 Loss_G: 0.018577 Loss_D_real: -0.022317 Loss_D_fake 0.003030
[578/5000][380/535][59462] Loss_D: -0.025486 Loss_G: 0.005626 Loss_D_real: -0.005710 Loss_D_fake 0.019776
[578/5000][385/535][59463] Loss_D: -0.025636 Loss_G: 0.015561 Loss_D_real: -0.014153 Loss_D_fake 0.011483
[578/5000][390/535][59464] Loss_D: -0.026398 Loss_G: 0.016124 Loss_D_real: -0.020431 Loss_D_fake 0.005967
[578/5000][395/535][59465] Loss_D: -0.025647 Loss_G: 0.021369 Loss_D_real: -0.022763 Loss_D_fake 0.002884
[578/5000][400/535][59466] Loss_D: -0.025110 Loss_G: -0.008548 Loss_D_real: -0.004584 Loss_D_fake 0.020526
[578/5000][405/535][59467] Loss_D: -0.024524 Loss_G: 0.024097 Loss_D_real: -0.027574 Loss_D_fake -0.003050
[578/5000][410/535][59468] Loss_D: -0.024512 Loss_G: -0.006802 Loss_D_real: 0.001897 Loss_D_fake 0.026409
[578/5000][415/535][59469] Loss_D: -0.024179 Loss_G: 0.018736 Loss_D_real: -0.025768 Loss_D_fake -0.001589
[578/5000][420/535][59470] Loss_D: -0.026744 Loss_G: 0.004541 Loss_D_real: -0.014397 Loss_D_fake 0.012347
[578/5000][425/535][59471] Loss_D: -0.025406 Loss_G: 0.013629 Loss_D_real: -0.018155 Loss_D_fake 0.007251
[578/5000][430/535][59472] Loss_D: -0.025738 Loss_G: -0.004456 Loss_D_real: -0.010658 Loss_D_fake 0.015079
[578/5000][435/535][59473] Loss_D: -0.027338 Loss_G: 0.018215 Loss_D_real: -0.023205 Loss_D_fake 0.004133
[578/5000][440/535][59474] Loss_D: -0.024726 Loss_G: 0.003617 Loss_D_real: -0.005832 Loss_D_fake 0.018894
[578/5000][445/535][59475] Loss_D: -0.025564 Loss_G: 0.013321 Loss_D_real: -0.022103 Loss_D_fake 0.003460
[578/5000][450/535][59476] Loss_D: -0.025154 Loss_G: 0.001073 Loss_D_real: -0.010862 Loss_D_fake 0.014292
[578/5000][455/535][59477] Loss_D: -0.025060 Loss_G: 0.022482 Loss_D_real: -0.028840 Loss_D_fake -0.003780
[578/5000][460/535][59478] Loss_D: -0.025844 Loss_G: -0.000434 Loss_D_real: -0.004274 Loss_D_fake 0.021570
[578/5000][465/535][59479] Loss_D: -0.024627 Loss_G: 0.026292 Loss_D_real: -0.013184 Loss_D_fake 0.011443
[578/5000][470/535][59480] Loss_D: -0.024711 Loss_G: 0.019177 Loss_D_real: -0.015690 Loss_D_fake 0.009021
[578/5000][475/535][59481] Loss_D: -0.023778 Loss_G: -0.011058 Loss_D_real: 0.000676 Loss_D_fake 0.024454
[578/5000][480/535][59482] Loss_D: -0.024062 Loss_G: 0.015502 Loss_D_real: -0.015543 Loss_D_fake 0.008519
[578/5000][485/535][59483] Loss_D: -0.023244 Loss_G: -0.018435 Loss_D_real: -0.002446 Loss_D_fake 0.020797
[578/5000][490/535][59484] Loss_D: -0.023952 Loss_G: 0.024876 Loss_D_real: -0.018549 Loss_D_fake 0.005403
[578/5000][495/535][59485] Loss_D: -0.025888 Loss_G: 0.006762 Loss_D_real: -0.006448 Loss_D_fake 0.019440
[578/5000][500/535][59486] Loss_D: -0.023334 Loss_G: -0.015841 Loss_D_real: 0.000772 Loss_D_fake 0.024107
[578/5000][505/535][59487] Loss_D: -0.024672 Loss_G: -0.002422 Loss_D_real: -0.010545 Loss_D_fake 0.014128
[578/5000][510/535][59488] Loss_D: -0.024335 Loss_G: 0.019813 Loss_D_real: -0.026322 Loss_D_fake -0.001986
[578/5000][515/535][59489] Loss_D: -0.025021 Loss_G: -0.001106 Loss_D_real: -0.007900 Loss_D_fake 0.017122
[578/5000][520/535][59490] Loss_D: -0.023495 Loss_G: 0.026951 Loss_D_real: -0.034678 Loss_D_fake -0.011183
[578/5000][525/535][59491] Loss_D: -0.024764 Loss_G: 0.016243 Loss_D_real: -0.012029 Loss_D_fake 0.012735
[578/5000][530/535][59492] Loss_D: -0.024917 Loss_G: 0.005714 Loss_D_real: -0.015743 Loss_D_fake 0.009175
[578/5000][535/535][59493] Loss_D: -0.021617 Loss_G: 0.050299 Loss_D_real: -0.021542 Loss_D_fake 0.000075
[579/5000][5/535][59494] Loss_D: -0.025428 Loss_G: 0.009471 Loss_D_real: -0.021218 Loss_D_fake 0.004211
[579/5000][10/535][59495] Loss_D: -0.025156 Loss_G: 0.014729 Loss_D_real: -0.023488 Loss_D_fake 0.001668
[579/5000][15/535][59496] Loss_D: -0.026131 Loss_G: 0.017820 Loss_D_real: -0.015658 Loss_D_fake 0.010473
[579/5000][20/535][59497] Loss_D: -0.025984 Loss_G: 0.004519 Loss_D_real: -0.017245 Loss_D_fake 0.008739
[579/5000][25/535][59498] Loss_D: -0.025338 Loss_G: 0.015866 Loss_D_real: -0.022294 Loss_D_fake 0.003044
[579/5000][30/535][59499] Loss_D: -0.025512 Loss_G: 0.001171 Loss_D_real: -0.013158 Loss_D_fake 0.012354
[579/5000][35/535][59500] Loss_D: -0.025049 Loss_G: 0.029406 Loss_D_real: -0.017672 Loss_D_fake 0.007377
[579/5000][135/535][59501] Loss_D: -0.028585 Loss_G: 0.040036 Loss_D_real: -0.037686 Loss_D_fake -0.009100
[579/5000][140/535][59502] Loss_D: -0.025700 Loss_G: 0.019527 Loss_D_real: -0.017471 Loss_D_fake 0.008230
[579/5000][145/535][59503] Loss_D: -0.024064 Loss_G: 0.016923 Loss_D_real: -0.009482 Loss_D_fake 0.014582
[579/5000][150/535][59504] Loss_D: -0.023413 Loss_G: 0.005082 Loss_D_real: -0.011020 Loss_D_fake 0.012393
[579/5000][155/535][59505] Loss_D: -0.022536 Loss_G: 0.011317 Loss_D_real: -0.019913 Loss_D_fake 0.002623
[579/5000][160/535][59506] Loss_D: -0.023038 Loss_G: 0.007855 Loss_D_real: -0.019526 Loss_D_fake 0.003513
[579/5000][165/535][59507] Loss_D: -0.024130 Loss_G: 0.018488 Loss_D_real: -0.019389 Loss_D_fake 0.004742
[579/5000][170/535][59508] Loss_D: -0.025037 Loss_G: 0.010592 Loss_D_real: -0.014227 Loss_D_fake 0.010810
[579/5000][175/535][59509] Loss_D: -0.024657 Loss_G: 0.003077 Loss_D_real: -0.018514 Loss_D_fake 0.006143
[579/5000][180/535][59510] Loss_D: -0.023412 Loss_G: 0.022158 Loss_D_real: -0.020287 Loss_D_fake 0.003125
[579/5000][185/535][59511] Loss_D: -0.023855 Loss_G: 0.015354 Loss_D_real: -0.017667 Loss_D_fake 0.006188
[579/5000][190/535][59512] Loss_D: -0.024546 Loss_G: 0.000299 Loss_D_real: -0.017020 Loss_D_fake 0.007526
[579/5000][195/535][59513] Loss_D: -0.023963 Loss_G: 0.026073 Loss_D_real: -0.034642 Loss_D_fake -0.010679
[579/5000][200/535][59514] Loss_D: -0.024557 Loss_G: -0.003998 Loss_D_real: -0.000642 Loss_D_fake 0.023915
[579/5000][205/535][59515] Loss_D: -0.022741 Loss_G: 0.020409 Loss_D_real: -0.016273 Loss_D_fake 0.006469
[579/5000][210/535][59516] Loss_D: -0.024033 Loss_G: -0.006722 Loss_D_real: -0.004497 Loss_D_fake 0.019536
[579/5000][215/535][59517] Loss_D: -0.023825 Loss_G: 0.005571 Loss_D_real: 0.000218 Loss_D_fake 0.024043
[579/5000][220/535][59518] Loss_D: -0.023736 Loss_G: -0.003554 Loss_D_real: -0.000900 Loss_D_fake 0.022837
[579/5000][225/535][59519] Loss_D: -0.023733 Loss_G: 0.017865 Loss_D_real: -0.013232 Loss_D_fake 0.010501
[579/5000][230/535][59520] Loss_D: -0.025437 Loss_G: 0.011681 Loss_D_real: -0.013550 Loss_D_fake 0.011886
[579/5000][235/535][59521] Loss_D: -0.024656 Loss_G: 0.009105 Loss_D_real: -0.014831 Loss_D_fake 0.009825
[579/5000][240/535][59522] Loss_D: -0.024998 Loss_G: -0.001163 Loss_D_real: -0.006777 Loss_D_fake 0.018221
[579/5000][245/535][59523] Loss_D: -0.026695 Loss_G: 0.014315 Loss_D_real: -0.016864 Loss_D_fake 0.009831
[579/5000][250/535][59524] Loss_D: -0.025476 Loss_G: 0.017512 Loss_D_real: -0.021074 Loss_D_fake 0.004401
[579/5000][255/535][59525] Loss_D: -0.024527 Loss_G: 0.012660 Loss_D_real: -0.018907 Loss_D_fake 0.005620
[579/5000][260/535][59526] Loss_D: -0.026622 Loss_G: 0.008815 Loss_D_real: -0.021038 Loss_D_fake 0.005584
[579/5000][265/535][59527] Loss_D: -0.025211 Loss_G: 0.007112 Loss_D_real: -0.011730 Loss_D_fake 0.013481
[579/5000][270/535][59528] Loss_D: -0.024700 Loss_G: 0.021846 Loss_D_real: -0.022645 Loss_D_fake 0.002055
[579/5000][275/535][59529] Loss_D: -0.025408 Loss_G: 0.003092 Loss_D_real: -0.008990 Loss_D_fake 0.016419
[579/5000][280/535][59530] Loss_D: -0.026665 Loss_G: 0.014574 Loss_D_real: -0.029656 Loss_D_fake -0.002991
[579/5000][285/535][59531] Loss_D: -0.024635 Loss_G: 0.036370 Loss_D_real: -0.034133 Loss_D_fake -0.009498
[579/5000][290/535][59532] Loss_D: -0.025754 Loss_G: 0.001539 Loss_D_real: -0.009899 Loss_D_fake 0.015855
[579/5000][295/535][59533] Loss_D: -0.025448 Loss_G: 0.015576 Loss_D_real: -0.032350 Loss_D_fake -0.006902
[579/5000][300/535][59534] Loss_D: -0.026588 Loss_G: 0.017282 Loss_D_real: -0.008824 Loss_D_fake 0.017764
[579/5000][305/535][59535] Loss_D: -0.025410 Loss_G: 0.016936 Loss_D_real: -0.024939 Loss_D_fake 0.000471
[579/5000][310/535][59536] Loss_D: -0.025658 Loss_G: 0.002230 Loss_D_real: -0.005220 Loss_D_fake 0.020438
[579/5000][315/535][59537] Loss_D: -0.025877 Loss_G: 0.008655 Loss_D_real: -0.017367 Loss_D_fake 0.008510
[579/5000][320/535][59538] Loss_D: -0.028111 Loss_G: 0.015283 Loss_D_real: -0.028559 Loss_D_fake -0.000448
[579/5000][325/535][59539] Loss_D: -0.026878 Loss_G: 0.023889 Loss_D_real: -0.016274 Loss_D_fake 0.010604
[579/5000][330/535][59540] Loss_D: -0.025768 Loss_G: 0.015376 Loss_D_real: -0.023721 Loss_D_fake 0.002047
[579/5000][335/535][59541] Loss_D: -0.025021 Loss_G: 0.013604 Loss_D_real: -0.012251 Loss_D_fake 0.012770
[579/5000][340/535][59542] Loss_D: -0.025711 Loss_G: 0.003474 Loss_D_real: -0.011427 Loss_D_fake 0.014284
[579/5000][345/535][59543] Loss_D: -0.026099 Loss_G: 0.018469 Loss_D_real: -0.027752 Loss_D_fake -0.001654
[579/5000][350/535][59544] Loss_D: -0.025562 Loss_G: 0.006812 Loss_D_real: -0.007773 Loss_D_fake 0.017790
[579/5000][355/535][59545] Loss_D: -0.025592 Loss_G: 0.001380 Loss_D_real: -0.014786 Loss_D_fake 0.010805
[579/5000][360/535][59546] Loss_D: -0.026104 Loss_G: 0.026873 Loss_D_real: -0.022738 Loss_D_fake 0.003366
[579/5000][365/535][59547] Loss_D: -0.024579 Loss_G: 0.021067 Loss_D_real: -0.029890 Loss_D_fake -0.005311
[579/5000][370/535][59548] Loss_D: -0.026053 Loss_G: 0.021142 Loss_D_real: -0.013994 Loss_D_fake 0.012060
[579/5000][375/535][59549] Loss_D: -0.026157 Loss_G: 0.022403 Loss_D_real: -0.025345 Loss_D_fake 0.000813
[579/5000][380/535][59550] Loss_D: -0.024572 Loss_G: 0.011434 Loss_D_real: -0.024415 Loss_D_fake 0.000158
[579/5000][385/535][59551] Loss_D: -0.025056 Loss_G: 0.033184 Loss_D_real: -0.033461 Loss_D_fake -0.008405
[579/5000][390/535][59552] Loss_D: -0.023837 Loss_G: 0.040752 Loss_D_real: -0.030009 Loss_D_fake -0.006171
[579/5000][395/535][59553] Loss_D: -0.025280 Loss_G: 0.013682 Loss_D_real: -0.019948 Loss_D_fake 0.005332
[579/5000][400/535][59554] Loss_D: -0.024253 Loss_G: 0.033175 Loss_D_real: -0.027757 Loss_D_fake -0.003504
[579/5000][405/535][59555] Loss_D: -0.026051 Loss_G: 0.013975 Loss_D_real: -0.012966 Loss_D_fake 0.013084
[579/5000][410/535][59556] Loss_D: -0.025624 Loss_G: 0.014549 Loss_D_real: -0.019997 Loss_D_fake 0.005627
[579/5000][415/535][59557] Loss_D: -0.025191 Loss_G: -0.002031 Loss_D_real: -0.014455 Loss_D_fake 0.010736
[579/5000][420/535][59558] Loss_D: -0.025904 Loss_G: 0.023900 Loss_D_real: -0.026491 Loss_D_fake -0.000587
[579/5000][425/535][59559] Loss_D: -0.025681 Loss_G: 0.013340 Loss_D_real: -0.005722 Loss_D_fake 0.019959
[579/5000][430/535][59560] Loss_D: -0.024906 Loss_G: 0.003772 Loss_D_real: 0.000373 Loss_D_fake 0.025279
[579/5000][435/535][59561] Loss_D: -0.023357 Loss_G: -0.008296 Loss_D_real: -0.001607 Loss_D_fake 0.021751
[579/5000][440/535][59562] Loss_D: -0.025581 Loss_G: 0.023895 Loss_D_real: -0.016956 Loss_D_fake 0.008625
[579/5000][445/535][59563] Loss_D: -0.024555 Loss_G: 0.012984 Loss_D_real: -0.004624 Loss_D_fake 0.019931
[579/5000][450/535][59564] Loss_D: -0.023630 Loss_G: -0.014706 Loss_D_real: -0.000775 Loss_D_fake 0.022855
[579/5000][455/535][59565] Loss_D: -0.023553 Loss_G: 0.025500 Loss_D_real: -0.029773 Loss_D_fake -0.006220
[579/5000][460/535][59566] Loss_D: -0.025079 Loss_G: 0.009399 Loss_D_real: -0.017894 Loss_D_fake 0.007185
[579/5000][465/535][59567] Loss_D: -0.024993 Loss_G: -0.003509 Loss_D_real: -0.000098 Loss_D_fake 0.024895
[579/5000][470/535][59568] Loss_D: -0.025406 Loss_G: 0.013055 Loss_D_real: -0.026539 Loss_D_fake -0.001134
[579/5000][475/535][59569] Loss_D: -0.024408 Loss_G: 0.017336 Loss_D_real: -0.019612 Loss_D_fake 0.004797
[579/5000][480/535][59570] Loss_D: -0.024089 Loss_G: 0.008128 Loss_D_real: -0.011206 Loss_D_fake 0.012883
[579/5000][485/535][59571] Loss_D: -0.025363 Loss_G: -0.003124 Loss_D_real: -0.013603 Loss_D_fake 0.011760
[579/5000][490/535][59572] Loss_D: -0.025352 Loss_G: 0.011940 Loss_D_real: -0.023244 Loss_D_fake 0.002108
[579/5000][495/535][59573] Loss_D: -0.024405 Loss_G: 0.003560 Loss_D_real: -0.002932 Loss_D_fake 0.021473
[579/5000][500/535][59574] Loss_D: -0.026024 Loss_G: 0.028266 Loss_D_real: -0.027527 Loss_D_fake -0.001504
[579/5000][505/535][59575] Loss_D: -0.025978 Loss_G: -0.003035 Loss_D_real: -0.009214 Loss_D_fake 0.016764
[579/5000][510/535][59576] Loss_D: -0.025501 Loss_G: 0.004781 Loss_D_real: -0.020513 Loss_D_fake 0.004988
[579/5000][515/535][59577] Loss_D: -0.026549 Loss_G: 0.030271 Loss_D_real: -0.024484 Loss_D_fake 0.002065
[579/5000][520/535][59578] Loss_D: -0.026206 Loss_G: 0.018619 Loss_D_real: -0.019696 Loss_D_fake 0.006510
[579/5000][525/535][59579] Loss_D: -0.027193 Loss_G: 0.014493 Loss_D_real: -0.014749 Loss_D_fake 0.012444
[579/5000][530/535][59580] Loss_D: -0.025905 Loss_G: -0.002931 Loss_D_real: -0.005831 Loss_D_fake 0.020074
[579/5000][535/535][59581] Loss_D: -0.026041 Loss_G: 0.019165 Loss_D_real: -0.022134 Loss_D_fake 0.003907
[580/5000][5/535][59582] Loss_D: -0.025350 Loss_G: 0.012404 Loss_D_real: -0.015359 Loss_D_fake 0.009991
[580/5000][10/535][59583] Loss_D: -0.024894 Loss_G: 0.018262 Loss_D_real: -0.026315 Loss_D_fake -0.001420
[580/5000][15/535][59584] Loss_D: -0.026638 Loss_G: 0.002764 Loss_D_real: -0.011143 Loss_D_fake 0.015495
[580/5000][20/535][59585] Loss_D: -0.024873 Loss_G: 0.000504 Loss_D_real: -0.011908 Loss_D_fake 0.012965
[580/5000][25/535][59586] Loss_D: -0.025251 Loss_G: 0.026836 Loss_D_real: -0.025130 Loss_D_fake 0.000120
[580/5000][30/535][59587] Loss_D: -0.025564 Loss_G: -0.005785 Loss_D_real: -0.001167 Loss_D_fake 0.024397
[580/5000][35/535][59588] Loss_D: -0.025602 Loss_G: 0.035774 Loss_D_real: -0.023458 Loss_D_fake 0.002144
[580/5000][40/535][59589] Loss_D: -0.026405 Loss_G: 0.006124 Loss_D_real: -0.018716 Loss_D_fake 0.007689
[580/5000][45/535][59590] Loss_D: -0.025183 Loss_G: 0.020746 Loss_D_real: -0.021535 Loss_D_fake 0.003648
[580/5000][50/535][59591] Loss_D: -0.023810 Loss_G: 0.029709 Loss_D_real: -0.037165 Loss_D_fake -0.013355
[580/5000][55/535][59592] Loss_D: -0.026046 Loss_G: 0.022315 Loss_D_real: -0.014835 Loss_D_fake 0.011211
[580/5000][60/535][59593] Loss_D: -0.025154 Loss_G: -0.002923 Loss_D_real: -0.012723 Loss_D_fake 0.012431
[580/5000][65/535][59594] Loss_D: -0.025416 Loss_G: 0.025195 Loss_D_real: -0.026266 Loss_D_fake -0.000850
[580/5000][70/535][59595] Loss_D: -0.026605 Loss_G: -0.000139 Loss_D_real: -0.011804 Loss_D_fake 0.014801
[580/5000][75/535][59596] Loss_D: -0.023246 Loss_G: 0.028173 Loss_D_real: -0.029702 Loss_D_fake -0.006457
[580/5000][80/535][59597] Loss_D: -0.024871 Loss_G: 0.001884 Loss_D_real: -0.005746 Loss_D_fake 0.019125
[580/5000][85/535][59598] Loss_D: -0.024439 Loss_G: 0.008487 Loss_D_real: -0.011687 Loss_D_fake 0.012752
[580/5000][90/535][59599] Loss_D: -0.023953 Loss_G: 0.037037 Loss_D_real: -0.028925 Loss_D_fake -0.004973
[580/5000][95/535][59600] Loss_D: -0.026260 Loss_G: -0.000308 Loss_D_real: -0.005762 Loss_D_fake 0.020498
[580/5000][100/535][59601] Loss_D: -0.025068 Loss_G: -0.000662 Loss_D_real: -0.013635 Loss_D_fake 0.011433
[580/5000][105/535][59602] Loss_D: -0.026462 Loss_G: 0.014501 Loss_D_real: -0.005318 Loss_D_fake 0.021144
[580/5000][110/535][59603] Loss_D: -0.025368 Loss_G: 0.015983 Loss_D_real: -0.019547 Loss_D_fake 0.005821
[580/5000][115/535][59604] Loss_D: -0.025009 Loss_G: 0.018541 Loss_D_real: -0.017451 Loss_D_fake 0.007558
[580/5000][120/535][59605] Loss_D: -0.024785 Loss_G: 0.017423 Loss_D_real: -0.013489 Loss_D_fake 0.011296
[580/5000][125/535][59606] Loss_D: -0.025129 Loss_G: 0.018713 Loss_D_real: -0.022819 Loss_D_fake 0.002310
[580/5000][130/535][59607] Loss_D: -0.026357 Loss_G: 0.013100 Loss_D_real: -0.014187 Loss_D_fake 0.012171
[580/5000][135/535][59608] Loss_D: -0.025345 Loss_G: 0.010784 Loss_D_real: -0.023151 Loss_D_fake 0.002194
[580/5000][140/535][59609] Loss_D: -0.025991 Loss_G: -0.003661 Loss_D_real: -0.007612 Loss_D_fake 0.018379
[580/5000][145/535][59610] Loss_D: -0.024317 Loss_G: 0.005498 Loss_D_real: -0.018146 Loss_D_fake 0.006171
[580/5000][150/535][59611] Loss_D: -0.025103 Loss_G: 0.012284 Loss_D_real: -0.016567 Loss_D_fake 0.008536
[580/5000][155/535][59612] Loss_D: -0.026466 Loss_G: 0.016499 Loss_D_real: -0.017232 Loss_D_fake 0.009234
[580/5000][160/535][59613] Loss_D: -0.025892 Loss_G: 0.003604 Loss_D_real: -0.014647 Loss_D_fake 0.011245
[580/5000][165/535][59614] Loss_D: -0.026001 Loss_G: -0.000444 Loss_D_real: -0.004388 Loss_D_fake 0.021613
[580/5000][170/535][59615] Loss_D: -0.025597 Loss_G: 0.024722 Loss_D_real: -0.030546 Loss_D_fake -0.004950
[580/5000][175/535][59616] Loss_D: -0.024841 Loss_G: 0.014211 Loss_D_real: -0.017563 Loss_D_fake 0.007278
[580/5000][180/535][59617] Loss_D: -0.025048 Loss_G: -0.008078 Loss_D_real: 0.003659 Loss_D_fake 0.028708
[580/5000][185/535][59618] Loss_D: -0.025240 Loss_G: 0.024021 Loss_D_real: -0.030774 Loss_D_fake -0.005534
[580/5000][190/535][59619] Loss_D: -0.025325 Loss_G: 0.004832 Loss_D_real: -0.002373 Loss_D_fake 0.022953
[580/5000][195/535][59620] Loss_D: -0.023325 Loss_G: 0.025233 Loss_D_real: -0.031083 Loss_D_fake -0.007758
[580/5000][200/535][59621] Loss_D: -0.026564 Loss_G: 0.006439 Loss_D_real: -0.012441 Loss_D_fake 0.014123
[580/5000][205/535][59622] Loss_D: -0.025630 Loss_G: 0.017136 Loss_D_real: -0.016990 Loss_D_fake 0.008640
[580/5000][210/535][59623] Loss_D: -0.025735 Loss_G: 0.018605 Loss_D_real: -0.015356 Loss_D_fake 0.010379
[580/5000][215/535][59624] Loss_D: -0.025205 Loss_G: -0.005661 Loss_D_real: -0.003231 Loss_D_fake 0.021973
[580/5000][220/535][59625] Loss_D: -0.024701 Loss_G: 0.022687 Loss_D_real: -0.022178 Loss_D_fake 0.002522
[580/5000][225/535][59626] Loss_D: -0.025961 Loss_G: 0.002994 Loss_D_real: -0.012645 Loss_D_fake 0.013316
[580/5000][230/535][59627] Loss_D: -0.026125 Loss_G: 0.012118 Loss_D_real: -0.011143 Loss_D_fake 0.014982
[580/5000][235/535][59628] Loss_D: -0.026301 Loss_G: -0.003610 Loss_D_real: -0.005437 Loss_D_fake 0.020864
[580/5000][240/535][59629] Loss_D: -0.024973 Loss_G: 0.006754 Loss_D_real: -0.023266 Loss_D_fake 0.001707
[580/5000][245/535][59630] Loss_D: -0.025475 Loss_G: 0.005929 Loss_D_real: -0.014653 Loss_D_fake 0.010822
[580/5000][250/535][59631] Loss_D: -0.024661 Loss_G: 0.026752 Loss_D_real: -0.037008 Loss_D_fake -0.012347
[580/5000][255/535][59632] Loss_D: -0.024112 Loss_G: 0.015529 Loss_D_real: -0.018353 Loss_D_fake 0.005759
[580/5000][260/535][59633] Loss_D: -0.025803 Loss_G: -0.009854 Loss_D_real: -0.004331 Loss_D_fake 0.021472
[580/5000][265/535][59634] Loss_D: -0.023794 Loss_G: 0.017825 Loss_D_real: -0.008656 Loss_D_fake 0.015138
[580/5000][270/535][59635] Loss_D: -0.023197 Loss_G: 0.022925 Loss_D_real: -0.016585 Loss_D_fake 0.006612
[580/5000][275/535][59636] Loss_D: -0.024968 Loss_G: -0.006072 Loss_D_real: 0.001889 Loss_D_fake 0.026858
[580/5000][280/535][59637] Loss_D: -0.024340 Loss_G: 0.013142 Loss_D_real: -0.020255 Loss_D_fake 0.004085
[580/5000][285/535][59638] Loss_D: -0.026253 Loss_G: -0.003935 Loss_D_real: -0.007117 Loss_D_fake 0.019137
[580/5000][290/535][59639] Loss_D: -0.024361 Loss_G: 0.011733 Loss_D_real: -0.020453 Loss_D_fake 0.003908
[580/5000][295/535][59640] Loss_D: -0.026051 Loss_G: 0.030159 Loss_D_real: -0.026400 Loss_D_fake -0.000349
[580/5000][300/535][59641] Loss_D: -0.026226 Loss_G: 0.010015 Loss_D_real: -0.018438 Loss_D_fake 0.007788
[580/5000][305/535][59642] Loss_D: -0.026718 Loss_G: 0.021480 Loss_D_real: -0.020592 Loss_D_fake 0.006126
[580/5000][310/535][59643] Loss_D: -0.026089 Loss_G: 0.030700 Loss_D_real: -0.029735 Loss_D_fake -0.003646
[580/5000][315/535][59644] Loss_D: -0.024605 Loss_G: -0.011694 Loss_D_real: 0.009617 Loss_D_fake 0.034222
[580/5000][320/535][59645] Loss_D: -0.026316 Loss_G: 0.007020 Loss_D_real: -0.016338 Loss_D_fake 0.009979
[580/5000][325/535][59646] Loss_D: -0.024251 Loss_G: 0.010940 Loss_D_real: -0.015784 Loss_D_fake 0.008466
[580/5000][330/535][59647] Loss_D: -0.026792 Loss_G: 0.013781 Loss_D_real: -0.024326 Loss_D_fake 0.002466
[580/5000][335/535][59648] Loss_D: -0.025456 Loss_G: 0.012009 Loss_D_real: -0.029524 Loss_D_fake -0.004068
[580/5000][340/535][59649] Loss_D: -0.025112 Loss_G: 0.005960 Loss_D_real: -0.019189 Loss_D_fake 0.005923
[580/5000][345/535][59650] Loss_D: -0.025968 Loss_G: 0.022233 Loss_D_real: -0.024521 Loss_D_fake 0.001447
[580/5000][350/535][59651] Loss_D: -0.026773 Loss_G: 0.000693 Loss_D_real: -0.015143 Loss_D_fake 0.011631
[580/5000][355/535][59652] Loss_D: -0.025690 Loss_G: 0.023048 Loss_D_real: -0.023400 Loss_D_fake 0.002290
[580/5000][360/535][59653] Loss_D: -0.025969 Loss_G: 0.020668 Loss_D_real: -0.020383 Loss_D_fake 0.005586
[580/5000][365/535][59654] Loss_D: -0.024845 Loss_G: 0.020559 Loss_D_real: -0.014352 Loss_D_fake 0.010493
[580/5000][370/535][59655] Loss_D: -0.025013 Loss_G: 0.023350 Loss_D_real: -0.027257 Loss_D_fake -0.002244
[580/5000][375/535][59656] Loss_D: -0.025313 Loss_G: -0.008964 Loss_D_real: -0.002889 Loss_D_fake 0.022424
[580/5000][380/535][59657] Loss_D: -0.025530 Loss_G: 0.020341 Loss_D_real: -0.017103 Loss_D_fake 0.008426
[580/5000][385/535][59658] Loss_D: -0.024946 Loss_G: 0.021093 Loss_D_real: -0.020355 Loss_D_fake 0.004591
[580/5000][390/535][59659] Loss_D: -0.024253 Loss_G: 0.031445 Loss_D_real: -0.032608 Loss_D_fake -0.008355
[580/5000][395/535][59660] Loss_D: -0.025548 Loss_G: 0.004542 Loss_D_real: -0.010517 Loss_D_fake 0.015031
[580/5000][400/535][59661] Loss_D: -0.024474 Loss_G: -0.002606 Loss_D_real: -0.009662 Loss_D_fake 0.014812
[580/5000][405/535][59662] Loss_D: -0.024890 Loss_G: 0.020498 Loss_D_real: -0.029969 Loss_D_fake -0.005079
[580/5000][410/535][59663] Loss_D: -0.026060 Loss_G: 0.022896 Loss_D_real: -0.020982 Loss_D_fake 0.005078
[580/5000][415/535][59664] Loss_D: -0.024689 Loss_G: -0.004243 Loss_D_real: 0.008224 Loss_D_fake 0.032912
[580/5000][420/535][59665] Loss_D: -0.024444 Loss_G: 0.035175 Loss_D_real: -0.029381 Loss_D_fake -0.004937
[580/5000][425/535][59666] Loss_D: -0.025210 Loss_G: 0.010035 Loss_D_real: -0.011706 Loss_D_fake 0.013504
[580/5000][430/535][59667] Loss_D: -0.026063 Loss_G: 0.007508 Loss_D_real: -0.008689 Loss_D_fake 0.017374
[580/5000][435/535][59668] Loss_D: -0.025789 Loss_G: 0.012319 Loss_D_real: -0.021131 Loss_D_fake 0.004658
[580/5000][440/535][59669] Loss_D: -0.024981 Loss_G: 0.020583 Loss_D_real: -0.027827 Loss_D_fake -0.002846
[580/5000][445/535][59670] Loss_D: -0.024486 Loss_G: -0.011012 Loss_D_real: 0.000972 Loss_D_fake 0.025458
[580/5000][450/535][59671] Loss_D: -0.025150 Loss_G: 0.012434 Loss_D_real: -0.019228 Loss_D_fake 0.005922
[580/5000][455/535][59672] Loss_D: -0.026105 Loss_G: 0.022545 Loss_D_real: -0.012113 Loss_D_fake 0.013991
[580/5000][460/535][59673] Loss_D: -0.026039 Loss_G: 0.002038 Loss_D_real: -0.013112 Loss_D_fake 0.012927
[580/5000][465/535][59674] Loss_D: -0.024034 Loss_G: -0.018428 Loss_D_real: -0.004158 Loss_D_fake 0.019876
[580/5000][470/535][59675] Loss_D: -0.024337 Loss_G: 0.016859 Loss_D_real: -0.018703 Loss_D_fake 0.005634
[580/5000][475/535][59676] Loss_D: -0.024849 Loss_G: -0.005175 Loss_D_real: -0.001094 Loss_D_fake 0.023754
[580/5000][480/535][59677] Loss_D: -0.024338 Loss_G: 0.007587 Loss_D_real: 0.001071 Loss_D_fake 0.025409
[580/5000][485/535][59678] Loss_D: -0.025733 Loss_G: 0.011095 Loss_D_real: -0.019168 Loss_D_fake 0.006565
[580/5000][490/535][59679] Loss_D: -0.025948 Loss_G: 0.013663 Loss_D_real: -0.022897 Loss_D_fake 0.003051
[580/5000][495/535][59680] Loss_D: -0.026059 Loss_G: 0.007998 Loss_D_real: -0.015669 Loss_D_fake 0.010390
[580/5000][500/535][59681] Loss_D: -0.026808 Loss_G: 0.009565 Loss_D_real: -0.013447 Loss_D_fake 0.013361
[580/5000][505/535][59682] Loss_D: -0.025106 Loss_G: 0.007608 Loss_D_real: -0.005021 Loss_D_fake 0.020086
[580/5000][510/535][59683] Loss_D: -0.025050 Loss_G: 0.027680 Loss_D_real: -0.030198 Loss_D_fake -0.005148
[580/5000][515/535][59684] Loss_D: -0.025160 Loss_G: 0.034483 Loss_D_real: -0.033706 Loss_D_fake -0.008545
[580/5000][520/535][59685] Loss_D: -0.024801 Loss_G: 0.016986 Loss_D_real: -0.012392 Loss_D_fake 0.012409
[580/5000][525/535][59686] Loss_D: -0.026192 Loss_G: 0.006944 Loss_D_real: -0.014206 Loss_D_fake 0.011986
[580/5000][530/535][59687] Loss_D: -0.025467 Loss_G: 0.010913 Loss_D_real: -0.028794 Loss_D_fake -0.003327
[580/5000][535/535][59688] Loss_D: -0.028727 Loss_G: -0.009625 Loss_D_real: -0.034503 Loss_D_fake -0.005776
[581/5000][5/535][59689] Loss_D: -0.025238 Loss_G: 0.025918 Loss_D_real: -0.024534 Loss_D_fake 0.000705
[581/5000][10/535][59690] Loss_D: -0.025479 Loss_G: 0.006313 Loss_D_real: -0.009431 Loss_D_fake 0.016048
[581/5000][15/535][59691] Loss_D: -0.024434 Loss_G: 0.039419 Loss_D_real: -0.035954 Loss_D_fake -0.011520
[581/5000][20/535][59692] Loss_D: -0.023315 Loss_G: 0.033085 Loss_D_real: -0.025019 Loss_D_fake -0.001704
[581/5000][25/535][59693] Loss_D: -0.025780 Loss_G: 0.001797 Loss_D_real: -0.011626 Loss_D_fake 0.014154
[581/5000][30/535][59694] Loss_D: -0.024989 Loss_G: 0.027471 Loss_D_real: -0.020242 Loss_D_fake 0.004747
[581/5000][35/535][59695] Loss_D: -0.025317 Loss_G: 0.019157 Loss_D_real: -0.013381 Loss_D_fake 0.011936
[581/5000][40/535][59696] Loss_D: -0.026190 Loss_G: 0.000786 Loss_D_real: -0.003802 Loss_D_fake 0.022388
[581/5000][45/535][59697] Loss_D: -0.024259 Loss_G: 0.024249 Loss_D_real: -0.033397 Loss_D_fake -0.009137
[581/5000][50/535][59698] Loss_D: -0.025927 Loss_G: 0.016149 Loss_D_real: -0.004452 Loss_D_fake 0.021475
[581/5000][55/535][59699] Loss_D: -0.024957 Loss_G: 0.000310 Loss_D_real: -0.005811 Loss_D_fake 0.019145
[581/5000][60/535][59700] Loss_D: -0.024701 Loss_G: 0.023475 Loss_D_real: -0.025114 Loss_D_fake -0.000414
[581/5000][65/535][59701] Loss_D: -0.025213 Loss_G: 0.021844 Loss_D_real: -0.023810 Loss_D_fake 0.001403
[581/5000][70/535][59702] Loss_D: -0.024728 Loss_G: 0.012719 Loss_D_real: -0.016845 Loss_D_fake 0.007883
[581/5000][75/535][59703] Loss_D: -0.026269 Loss_G: 0.012750 Loss_D_real: -0.015298 Loss_D_fake 0.010971
[581/5000][80/535][59704] Loss_D: -0.025602 Loss_G: 0.008383 Loss_D_real: -0.010947 Loss_D_fake 0.014654
[581/5000][85/535][59705] Loss_D: -0.024344 Loss_G: 0.009775 Loss_D_real: -0.013533 Loss_D_fake 0.010811
[581/5000][90/535][59706] Loss_D: -0.024814 Loss_G: 0.033350 Loss_D_real: -0.034844 Loss_D_fake -0.010029
[581/5000][95/535][59707] Loss_D: -0.025749 Loss_G: 0.015468 Loss_D_real: -0.016064 Loss_D_fake 0.009685
[581/5000][100/535][59708] Loss_D: -0.025036 Loss_G: 0.016269 Loss_D_real: -0.014893 Loss_D_fake 0.010142
[581/5000][105/535][59709] Loss_D: -0.023851 Loss_G: 0.041119 Loss_D_real: -0.032662 Loss_D_fake -0.008812
[581/5000][110/535][59710] Loss_D: -0.026124 Loss_G: 0.002380 Loss_D_real: -0.006862 Loss_D_fake 0.019262
[581/5000][115/535][59711] Loss_D: -0.025528 Loss_G: -0.004473 Loss_D_real: -0.011688 Loss_D_fake 0.013839
[581/5000][120/535][59712] Loss_D: -0.024306 Loss_G: 0.030290 Loss_D_real: -0.025307 Loss_D_fake -0.001002
[581/5000][125/535][59713] Loss_D: -0.025989 Loss_G: -0.006986 Loss_D_real: -0.011364 Loss_D_fake 0.014625
[581/5000][130/535][59714] Loss_D: -0.025197 Loss_G: 0.002854 Loss_D_real: -0.003469 Loss_D_fake 0.021728
[581/5000][135/535][59715] Loss_D: -0.025540 Loss_G: 0.005692 Loss_D_real: -0.006603 Loss_D_fake 0.018938
[581/5000][140/535][59716] Loss_D: -0.024639 Loss_G: 0.008017 Loss_D_real: -0.018636 Loss_D_fake 0.006003
[581/5000][145/535][59717] Loss_D: -0.025129 Loss_G: 0.008268 Loss_D_real: -0.004940 Loss_D_fake 0.020189
[581/5000][150/535][59718] Loss_D: -0.021987 Loss_G: 0.032265 Loss_D_real: -0.036215 Loss_D_fake -0.014228
[581/5000][155/535][59719] Loss_D: -0.025071 Loss_G: -0.008555 Loss_D_real: 0.002414 Loss_D_fake 0.027485
[581/5000][160/535][59720] Loss_D: -0.024709 Loss_G: 0.003023 Loss_D_real: -0.010564 Loss_D_fake 0.014144
[581/5000][165/535][59721] Loss_D: -0.025464 Loss_G: 0.014111 Loss_D_real: -0.026964 Loss_D_fake -0.001500
[581/5000][170/535][59722] Loss_D: -0.024459 Loss_G: 0.015978 Loss_D_real: -0.018795 Loss_D_fake 0.005664
[581/5000][175/535][59723] Loss_D: -0.024720 Loss_G: 0.020692 Loss_D_real: -0.027032 Loss_D_fake -0.002312
[581/5000][180/535][59724] Loss_D: -0.025906 Loss_G: 0.020790 Loss_D_real: -0.013061 Loss_D_fake 0.012845
[581/5000][185/535][59725] Loss_D: -0.025723 Loss_G: 0.012113 Loss_D_real: -0.019930 Loss_D_fake 0.005793
[581/5000][190/535][59726] Loss_D: -0.025607 Loss_G: 0.010060 Loss_D_real: -0.010037 Loss_D_fake 0.015570
[581/5000][195/535][59727] Loss_D: -0.022970 Loss_G: 0.025612 Loss_D_real: -0.037501 Loss_D_fake -0.014531
[581/5000][200/535][59728] Loss_D: -0.025578 Loss_G: 0.011792 Loss_D_real: -0.018884 Loss_D_fake 0.006693
[581/5000][205/535][59729] Loss_D: -0.026136 Loss_G: 0.004891 Loss_D_real: -0.015367 Loss_D_fake 0.010770
[581/5000][210/535][59730] Loss_D: -0.024570 Loss_G: 0.022993 Loss_D_real: -0.027132 Loss_D_fake -0.002561
[581/5000][215/535][59731] Loss_D: -0.023677 Loss_G: 0.027949 Loss_D_real: -0.030945 Loss_D_fake -0.007268
[581/5000][220/535][59732] Loss_D: -0.025049 Loss_G: 0.014462 Loss_D_real: -0.021024 Loss_D_fake 0.004025
[581/5000][225/535][59733] Loss_D: -0.025215 Loss_G: 0.013261 Loss_D_real: -0.024765 Loss_D_fake 0.000450
[581/5000][230/535][59734] Loss_D: -0.025776 Loss_G: 0.017159 Loss_D_real: -0.013309 Loss_D_fake 0.012468
[581/5000][235/535][59735] Loss_D: -0.025550 Loss_G: 0.023069 Loss_D_real: -0.019322 Loss_D_fake 0.006228
[581/5000][240/535][59736] Loss_D: -0.025391 Loss_G: 0.006309 Loss_D_real: -0.009513 Loss_D_fake 0.015879
[581/5000][245/535][59737] Loss_D: -0.025281 Loss_G: 0.030699 Loss_D_real: -0.027994 Loss_D_fake -0.002713
[581/5000][250/535][59738] Loss_D: -0.023655 Loss_G: 0.011181 Loss_D_real: -0.006732 Loss_D_fake 0.016923
[581/5000][255/535][59739] Loss_D: -0.024495 Loss_G: 0.036127 Loss_D_real: -0.025673 Loss_D_fake -0.001178
[581/5000][260/535][59740] Loss_D: -0.026254 Loss_G: 0.016581 Loss_D_real: -0.017317 Loss_D_fake 0.008937
[581/5000][265/535][59741] Loss_D: -0.024008 Loss_G: 0.027657 Loss_D_real: -0.037762 Loss_D_fake -0.013754
[581/5000][270/535][59742] Loss_D: -0.024555 Loss_G: 0.039031 Loss_D_real: -0.032716 Loss_D_fake -0.008161
[581/5000][275/535][59743] Loss_D: -0.025558 Loss_G: -0.006708 Loss_D_real: -0.002945 Loss_D_fake 0.022613
[581/5000][280/535][59744] Loss_D: -0.024673 Loss_G: 0.003843 Loss_D_real: -0.024510 Loss_D_fake 0.000163
[581/5000][285/535][59745] Loss_D: -0.023643 Loss_G: -0.007828 Loss_D_real: 0.004451 Loss_D_fake 0.028095
[581/5000][290/535][59746] Loss_D: -0.024021 Loss_G: 0.025602 Loss_D_real: -0.019042 Loss_D_fake 0.004979
[581/5000][295/535][59747] Loss_D: -0.024561 Loss_G: 0.001682 Loss_D_real: -0.011111 Loss_D_fake 0.013449
[581/5000][300/535][59748] Loss_D: -0.024505 Loss_G: 0.009435 Loss_D_real: -0.018230 Loss_D_fake 0.006275
[581/5000][305/535][59749] Loss_D: -0.024240 Loss_G: -0.001144 Loss_D_real: 0.000273 Loss_D_fake 0.024513
[581/5000][310/535][59750] Loss_D: -0.024312 Loss_G: 0.000563 Loss_D_real: -0.009760 Loss_D_fake 0.014552
[581/5000][315/535][59751] Loss_D: -0.026577 Loss_G: 0.007736 Loss_D_real: -0.011118 Loss_D_fake 0.015458
[581/5000][320/535][59752] Loss_D: -0.024943 Loss_G: 0.024662 Loss_D_real: -0.024072 Loss_D_fake 0.000871
[581/5000][325/535][59753] Loss_D: -0.025722 Loss_G: 0.007799 Loss_D_real: -0.008353 Loss_D_fake 0.017369
[581/5000][330/535][59754] Loss_D: -0.024982 Loss_G: 0.021556 Loss_D_real: -0.020704 Loss_D_fake 0.004278
[581/5000][335/535][59755] Loss_D: -0.026588 Loss_G: 0.006572 Loss_D_real: -0.013887 Loss_D_fake 0.012700
[581/5000][340/535][59756] Loss_D: -0.024845 Loss_G: 0.012285 Loss_D_real: -0.024025 Loss_D_fake 0.000820
[581/5000][345/535][59757] Loss_D: -0.024862 Loss_G: 0.032501 Loss_D_real: -0.026494 Loss_D_fake -0.001631
[581/5000][350/535][59758] Loss_D: -0.026075 Loss_G: 0.002841 Loss_D_real: -0.011565 Loss_D_fake 0.014510
[581/5000][355/535][59759] Loss_D: -0.024845 Loss_G: 0.021543 Loss_D_real: -0.023431 Loss_D_fake 0.001414
[581/5000][360/535][59760] Loss_D: -0.025576 Loss_G: 0.009716 Loss_D_real: -0.015682 Loss_D_fake 0.009894
[581/5000][365/535][59761] Loss_D: -0.025244 Loss_G: 0.001974 Loss_D_real: -0.013231 Loss_D_fake 0.012013
[581/5000][370/535][59762] Loss_D: -0.024501 Loss_G: 0.005702 Loss_D_real: -0.017099 Loss_D_fake 0.007402
[581/5000][375/535][59763] Loss_D: -0.025100 Loss_G: -0.007377 Loss_D_real: 0.002432 Loss_D_fake 0.027532
[581/5000][380/535][59764] Loss_D: -0.024586 Loss_G: 0.011793 Loss_D_real: -0.018094 Loss_D_fake 0.006492
[581/5000][385/535][59765] Loss_D: -0.025515 Loss_G: 0.010692 Loss_D_real: -0.019236 Loss_D_fake 0.006279
[581/5000][390/535][59766] Loss_D: -0.024550 Loss_G: 0.007636 Loss_D_real: -0.011254 Loss_D_fake 0.013296
[581/5000][395/535][59767] Loss_D: -0.026844 Loss_G: 0.005009 Loss_D_real: -0.011962 Loss_D_fake 0.014882
[581/5000][400/535][59768] Loss_D: -0.025972 Loss_G: 0.011378 Loss_D_real: -0.010834 Loss_D_fake 0.015138
[581/5000][405/535][59769] Loss_D: -0.025054 Loss_G: 0.035685 Loss_D_real: -0.033782 Loss_D_fake -0.008728
[581/5000][410/535][59770] Loss_D: -0.025318 Loss_G: -0.011097 Loss_D_real: -0.001002 Loss_D_fake 0.024316
[581/5000][415/535][59771] Loss_D: -0.024029 Loss_G: 0.013009 Loss_D_real: -0.023904 Loss_D_fake 0.000125
[581/5000][420/535][59772] Loss_D: -0.025086 Loss_G: 0.011630 Loss_D_real: -0.019340 Loss_D_fake 0.005746
[581/5000][425/535][59773] Loss_D: -0.025907 Loss_G: -0.005202 Loss_D_real: -0.011676 Loss_D_fake 0.014231
[581/5000][430/535][59774] Loss_D: -0.026353 Loss_G: 0.007229 Loss_D_real: -0.010661 Loss_D_fake 0.015692
[581/5000][435/535][59775] Loss_D: -0.026814 Loss_G: 0.024182 Loss_D_real: -0.019973 Loss_D_fake 0.006841
[581/5000][440/535][59776] Loss_D: -0.027253 Loss_G: 0.001590 Loss_D_real: -0.012370 Loss_D_fake 0.014883
[581/5000][445/535][59777] Loss_D: -0.025269 Loss_G: -0.010213 Loss_D_real: 0.002391 Loss_D_fake 0.027660
[581/5000][450/535][59778] Loss_D: -0.023333 Loss_G: -0.003409 Loss_D_real: 0.007448 Loss_D_fake 0.030781
[581/5000][455/535][59779] Loss_D: -0.025798 Loss_G: 0.021364 Loss_D_real: -0.025914 Loss_D_fake -0.000116
[581/5000][460/535][59780] Loss_D: -0.026156 Loss_G: 0.020286 Loss_D_real: -0.017239 Loss_D_fake 0.008917
[581/5000][465/535][59781] Loss_D: -0.026860 Loss_G: 0.005747 Loss_D_real: -0.008456 Loss_D_fake 0.018404
[581/5000][470/535][59782] Loss_D: -0.025289 Loss_G: 0.021296 Loss_D_real: -0.037055 Loss_D_fake -0.011766
[581/5000][475/535][59783] Loss_D: -0.026953 Loss_G: 0.012151 Loss_D_real: -0.015436 Loss_D_fake 0.011517
[581/5000][480/535][59784] Loss_D: -0.026827 Loss_G: -0.002285 Loss_D_real: -0.000360 Loss_D_fake 0.026468
[581/5000][485/535][59785] Loss_D: -0.025064 Loss_G: 0.024222 Loss_D_real: -0.013679 Loss_D_fake 0.011385
[581/5000][490/535][59786] Loss_D: -0.023321 Loss_G: 0.035435 Loss_D_real: -0.036627 Loss_D_fake -0.013306
[581/5000][495/535][59787] Loss_D: -0.024378 Loss_G: 0.030130 Loss_D_real: -0.029141 Loss_D_fake -0.004763
[581/5000][500/535][59788] Loss_D: -0.025639 Loss_G: -0.010663 Loss_D_real: 0.002130 Loss_D_fake 0.027769
[581/5000][505/535][59789] Loss_D: -0.023732 Loss_G: 0.013466 Loss_D_real: -0.016661 Loss_D_fake 0.007071
[581/5000][510/535][59790] Loss_D: -0.023794 Loss_G: 0.017715 Loss_D_real: -0.018333 Loss_D_fake 0.005461
[581/5000][515/535][59791] Loss_D: -0.024839 Loss_G: -0.004943 Loss_D_real: -0.012180 Loss_D_fake 0.012658
[581/5000][520/535][59792] Loss_D: -0.024451 Loss_G: 0.005368 Loss_D_real: -0.011453 Loss_D_fake 0.012999
[581/5000][525/535][59793] Loss_D: -0.025671 Loss_G: 0.018889 Loss_D_real: -0.019168 Loss_D_fake 0.006503
[581/5000][530/535][59794] Loss_D: -0.024643 Loss_G: 0.018906 Loss_D_real: -0.019638 Loss_D_fake 0.005005
[581/5000][535/535][59795] Loss_D: -0.024949 Loss_G: 0.022209 Loss_D_real: -0.023483 Loss_D_fake 0.001465
[582/5000][5/535][59796] Loss_D: -0.026991 Loss_G: 0.018640 Loss_D_real: -0.028011 Loss_D_fake -0.001020
[582/5000][10/535][59797] Loss_D: -0.025313 Loss_G: 0.020698 Loss_D_real: -0.018625 Loss_D_fake 0.006689
[582/5000][15/535][59798] Loss_D: -0.025490 Loss_G: 0.027707 Loss_D_real: -0.024954 Loss_D_fake 0.000536
[582/5000][20/535][59799] Loss_D: -0.026040 Loss_G: 0.027372 Loss_D_real: -0.023262 Loss_D_fake 0.002778
[582/5000][25/535][59800] Loss_D: -0.026549 Loss_G: -0.000740 Loss_D_real: -0.011690 Loss_D_fake 0.014859
[582/5000][30/535][59801] Loss_D: -0.023855 Loss_G: 0.022794 Loss_D_real: -0.024500 Loss_D_fake -0.000645
[582/5000][35/535][59802] Loss_D: -0.026148 Loss_G: 0.028544 Loss_D_real: -0.039244 Loss_D_fake -0.013096
[582/5000][40/535][59803] Loss_D: -0.024733 Loss_G: -0.011128 Loss_D_real: 0.003114 Loss_D_fake 0.027847
[582/5000][45/535][59804] Loss_D: -0.023943 Loss_G: 0.024852 Loss_D_real: -0.028752 Loss_D_fake -0.004809
[582/5000][50/535][59805] Loss_D: -0.026230 Loss_G: 0.006548 Loss_D_real: -0.001643 Loss_D_fake 0.024587
[582/5000][55/535][59806] Loss_D: -0.026132 Loss_G: 0.012950 Loss_D_real: -0.009370 Loss_D_fake 0.016762
[582/5000][60/535][59807] Loss_D: -0.024565 Loss_G: 0.007199 Loss_D_real: -0.014536 Loss_D_fake 0.010029
[582/5000][65/535][59808] Loss_D: -0.023280 Loss_G: 0.024917 Loss_D_real: -0.019657 Loss_D_fake 0.003622
[582/5000][70/535][59809] Loss_D: -0.024409 Loss_G: 0.026068 Loss_D_real: -0.014944 Loss_D_fake 0.009464
[582/5000][75/535][59810] Loss_D: -0.026068 Loss_G: 0.008852 Loss_D_real: -0.015685 Loss_D_fake 0.010383
[582/5000][80/535][59811] Loss_D: -0.025984 Loss_G: 0.017684 Loss_D_real: -0.017640 Loss_D_fake 0.008345
[582/5000][85/535][59812] Loss_D: -0.025597 Loss_G: 0.017648 Loss_D_real: -0.014969 Loss_D_fake 0.010628
[582/5000][90/535][59813] Loss_D: -0.024874 Loss_G: 0.022902 Loss_D_real: -0.024135 Loss_D_fake 0.000739
[582/5000][95/535][59814] Loss_D: -0.025726 Loss_G: 0.022117 Loss_D_real: -0.030318 Loss_D_fake -0.004592
[582/5000][100/535][59815] Loss_D: -0.024985 Loss_G: -0.013543 Loss_D_real: -0.000950 Loss_D_fake 0.024035
[582/5000][105/535][59816] Loss_D: -0.024907 Loss_G: 0.027833 Loss_D_real: -0.017398 Loss_D_fake 0.007509
[582/5000][110/535][59817] Loss_D: -0.025698 Loss_G: 0.040273 Loss_D_real: -0.021401 Loss_D_fake 0.004297
[582/5000][115/535][59818] Loss_D: -0.026293 Loss_G: -0.005320 Loss_D_real: -0.007549 Loss_D_fake 0.018744
[582/5000][120/535][59819] Loss_D: -0.023536 Loss_G: 0.018929 Loss_D_real: -0.018955 Loss_D_fake 0.004580
[582/5000][125/535][59820] Loss_D: -0.024266 Loss_G: 0.000131 Loss_D_real: -0.000540 Loss_D_fake 0.023727
[582/5000][130/535][59821] Loss_D: -0.025200 Loss_G: 0.012642 Loss_D_real: -0.013733 Loss_D_fake 0.011467
[582/5000][135/535][59822] Loss_D: -0.025555 Loss_G: 0.006520 Loss_D_real: -0.024196 Loss_D_fake 0.001359
[582/5000][140/535][59823] Loss_D: -0.024298 Loss_G: 0.020300 Loss_D_real: -0.022225 Loss_D_fake 0.002073
[582/5000][145/535][59824] Loss_D: -0.025294 Loss_G: 0.009898 Loss_D_real: -0.010450 Loss_D_fake 0.014844
[582/5000][150/535][59825] Loss_D: -0.024474 Loss_G: 0.003402 Loss_D_real: -0.008253 Loss_D_fake 0.016221
[582/5000][155/535][59826] Loss_D: -0.024636 Loss_G: 0.038409 Loss_D_real: -0.027900 Loss_D_fake -0.003264
[582/5000][160/535][59827] Loss_D: -0.026553 Loss_G: 0.027664 Loss_D_real: -0.019029 Loss_D_fake 0.007524
[582/5000][165/535][59828] Loss_D: -0.026728 Loss_G: 0.014953 Loss_D_real: -0.016373 Loss_D_fake 0.010355
[582/5000][170/535][59829] Loss_D: -0.025287 Loss_G: 0.029179 Loss_D_real: -0.020344 Loss_D_fake 0.004942
[582/5000][175/535][59830] Loss_D: -0.025740 Loss_G: 0.003447 Loss_D_real: -0.010579 Loss_D_fake 0.015161
[582/5000][180/535][59831] Loss_D: -0.026677 Loss_G: 0.009983 Loss_D_real: -0.013351 Loss_D_fake 0.013326
[582/5000][185/535][59832] Loss_D: -0.024862 Loss_G: 0.024895 Loss_D_real: -0.029271 Loss_D_fake -0.004409
[582/5000][190/535][59833] Loss_D: -0.026534 Loss_G: 0.014361 Loss_D_real: -0.009603 Loss_D_fake 0.016931
[582/5000][195/535][59834] Loss_D: -0.025316 Loss_G: 0.033584 Loss_D_real: -0.023848 Loss_D_fake 0.001468
[582/5000][200/535][59835] Loss_D: -0.025048 Loss_G: 0.011942 Loss_D_real: -0.011311 Loss_D_fake 0.013737
[582/5000][205/535][59836] Loss_D: -0.025350 Loss_G: -0.000828 Loss_D_real: -0.008518 Loss_D_fake 0.016831
[582/5000][210/535][59837] Loss_D: -0.025710 Loss_G: 0.009432 Loss_D_real: -0.001727 Loss_D_fake 0.023984
[582/5000][215/535][59838] Loss_D: -0.024529 Loss_G: 0.029219 Loss_D_real: -0.020822 Loss_D_fake 0.003707
[582/5000][220/535][59839] Loss_D: -0.025471 Loss_G: -0.009164 Loss_D_real: -0.003389 Loss_D_fake 0.022081
[582/5000][225/535][59840] Loss_D: -0.025562 Loss_G: 0.024520 Loss_D_real: -0.023955 Loss_D_fake 0.001607
[582/5000][230/535][59841] Loss_D: -0.026804 Loss_G: -0.009016 Loss_D_real: 0.002447 Loss_D_fake 0.029251
[582/5000][235/535][59842] Loss_D: -0.023614 Loss_G: 0.024328 Loss_D_real: -0.029210 Loss_D_fake -0.005596
[582/5000][240/535][59843] Loss_D: -0.025312 Loss_G: 0.020813 Loss_D_real: -0.024398 Loss_D_fake 0.000914
[582/5000][245/535][59844] Loss_D: -0.025249 Loss_G: 0.001633 Loss_D_real: -0.011047 Loss_D_fake 0.014203
[582/5000][250/535][59845] Loss_D: -0.025509 Loss_G: 0.016929 Loss_D_real: -0.028818 Loss_D_fake -0.003309
[582/5000][255/535][59846] Loss_D: -0.024544 Loss_G: 0.028545 Loss_D_real: -0.033860 Loss_D_fake -0.009316
[582/5000][260/535][59847] Loss_D: -0.026786 Loss_G: 0.001655 Loss_D_real: -0.006681 Loss_D_fake 0.020104
[582/5000][265/535][59848] Loss_D: -0.025350 Loss_G: 0.002817 Loss_D_real: -0.006697 Loss_D_fake 0.018653
[582/5000][270/535][59849] Loss_D: -0.023616 Loss_G: 0.030262 Loss_D_real: -0.014178 Loss_D_fake 0.009438
[582/5000][275/535][59850] Loss_D: -0.026801 Loss_G: 0.021395 Loss_D_real: -0.014443 Loss_D_fake 0.012358
[582/5000][280/535][59851] Loss_D: -0.025970 Loss_G: 0.009468 Loss_D_real: -0.025109 Loss_D_fake 0.000860
[582/5000][285/535][59852] Loss_D: -0.024605 Loss_G: -0.004921 Loss_D_real: 0.002726 Loss_D_fake 0.027331
[582/5000][290/535][59853] Loss_D: -0.025561 Loss_G: 0.020069 Loss_D_real: -0.019715 Loss_D_fake 0.005846
[582/5000][295/535][59854] Loss_D: -0.026159 Loss_G: 0.002065 Loss_D_real: 0.000044 Loss_D_fake 0.026203
[582/5000][300/535][59855] Loss_D: -0.024185 Loss_G: 0.028680 Loss_D_real: -0.014297 Loss_D_fake 0.009888
[582/5000][305/535][59856] Loss_D: -0.026814 Loss_G: 0.011993 Loss_D_real: -0.016871 Loss_D_fake 0.009943
[582/5000][310/535][59857] Loss_D: -0.026612 Loss_G: 0.012939 Loss_D_real: -0.006065 Loss_D_fake 0.020548
[582/5000][315/535][59858] Loss_D: -0.025219 Loss_G: 0.032259 Loss_D_real: -0.038521 Loss_D_fake -0.013302
[582/5000][320/535][59859] Loss_D: -0.024341 Loss_G: -0.005613 Loss_D_real: 0.001377 Loss_D_fake 0.025718
[582/5000][325/535][59860] Loss_D: -0.024275 Loss_G: 0.029484 Loss_D_real: -0.027414 Loss_D_fake -0.003139
[582/5000][330/535][59861] Loss_D: -0.025994 Loss_G: 0.010182 Loss_D_real: -0.017143 Loss_D_fake 0.008851
[582/5000][335/535][59862] Loss_D: -0.025203 Loss_G: 0.000649 Loss_D_real: -0.000650 Loss_D_fake 0.024553
[582/5000][340/535][59863] Loss_D: -0.024182 Loss_G: 0.023394 Loss_D_real: -0.027325 Loss_D_fake -0.003143
[582/5000][345/535][59864] Loss_D: -0.024099 Loss_G: 0.014964 Loss_D_real: -0.024116 Loss_D_fake -0.000017
[582/5000][350/535][59865] Loss_D: -0.024989 Loss_G: 0.019569 Loss_D_real: -0.022707 Loss_D_fake 0.002282
[582/5000][355/535][59866] Loss_D: -0.025240 Loss_G: 0.005065 Loss_D_real: -0.004023 Loss_D_fake 0.021218
[582/5000][360/535][59867] Loss_D: -0.024527 Loss_G: 0.023470 Loss_D_real: -0.031017 Loss_D_fake -0.006489
[582/5000][365/535][59868] Loss_D: -0.026028 Loss_G: 0.017946 Loss_D_real: -0.009926 Loss_D_fake 0.016102
[582/5000][370/535][59869] Loss_D: -0.024230 Loss_G: 0.010200 Loss_D_real: -0.008173 Loss_D_fake 0.016057
[582/5000][375/535][59870] Loss_D: -0.025961 Loss_G: 0.006315 Loss_D_real: -0.003098 Loss_D_fake 0.022863
[582/5000][380/535][59871] Loss_D: -0.026352 Loss_G: 0.005534 Loss_D_real: -0.009837 Loss_D_fake 0.016516
[582/5000][385/535][59872] Loss_D: -0.025450 Loss_G: 0.025183 Loss_D_real: -0.021028 Loss_D_fake 0.004423
[582/5000][390/535][59873] Loss_D: -0.025269 Loss_G: 0.023365 Loss_D_real: -0.018625 Loss_D_fake 0.006644
[582/5000][395/535][59874] Loss_D: -0.024961 Loss_G: 0.014333 Loss_D_real: -0.022179 Loss_D_fake 0.002782
[582/5000][400/535][59875] Loss_D: -0.023794 Loss_G: 0.036008 Loss_D_real: -0.029233 Loss_D_fake -0.005438
[582/5000][405/535][59876] Loss_D: -0.024657 Loss_G: -0.000304 Loss_D_real: -0.007321 Loss_D_fake 0.017336
[582/5000][410/535][59877] Loss_D: -0.024406 Loss_G: 0.011834 Loss_D_real: -0.001955 Loss_D_fake 0.022451
[582/5000][415/535][59878] Loss_D: -0.025922 Loss_G: 0.013132 Loss_D_real: -0.012018 Loss_D_fake 0.013904
[582/5000][420/535][59879] Loss_D: -0.024265 Loss_G: -0.003949 Loss_D_real: -0.001293 Loss_D_fake 0.022972
[582/5000][425/535][59880] Loss_D: -0.025742 Loss_G: 0.017893 Loss_D_real: -0.025982 Loss_D_fake -0.000241
[582/5000][430/535][59881] Loss_D: -0.025243 Loss_G: 0.014911 Loss_D_real: 0.000119 Loss_D_fake 0.025362
[582/5000][435/535][59882] Loss_D: -0.025431 Loss_G: 0.018789 Loss_D_real: -0.017837 Loss_D_fake 0.007595
[582/5000][440/535][59883] Loss_D: -0.026248 Loss_G: 0.021240 Loss_D_real: -0.013042 Loss_D_fake 0.013206
[582/5000][445/535][59884] Loss_D: -0.026330 Loss_G: 0.014959 Loss_D_real: -0.017469 Loss_D_fake 0.008861
[582/5000][450/535][59885] Loss_D: -0.024477 Loss_G: 0.017611 Loss_D_real: -0.021039 Loss_D_fake 0.003438
[582/5000][455/535][59886] Loss_D: -0.024639 Loss_G: 0.033037 Loss_D_real: -0.025643 Loss_D_fake -0.001004
[582/5000][460/535][59887] Loss_D: -0.025590 Loss_G: 0.011397 Loss_D_real: -0.006789 Loss_D_fake 0.018800
[582/5000][465/535][59888] Loss_D: -0.025196 Loss_G: 0.011116 Loss_D_real: -0.012933 Loss_D_fake 0.012263
[582/5000][470/535][59889] Loss_D: -0.026236 Loss_G: 0.025818 Loss_D_real: -0.024671 Loss_D_fake 0.001565
[582/5000][475/535][59890] Loss_D: -0.026685 Loss_G: 0.011638 Loss_D_real: -0.013236 Loss_D_fake 0.013449
[582/5000][480/535][59891] Loss_D: -0.026383 Loss_G: 0.026864 Loss_D_real: -0.026048 Loss_D_fake 0.000336
[582/5000][485/535][59892] Loss_D: -0.025478 Loss_G: 0.022082 Loss_D_real: -0.022604 Loss_D_fake 0.002873
[582/5000][490/535][59893] Loss_D: -0.024391 Loss_G: -0.016582 Loss_D_real: -0.001396 Loss_D_fake 0.022994
[582/5000][495/535][59894] Loss_D: -0.025384 Loss_G: 0.018295 Loss_D_real: -0.017065 Loss_D_fake 0.008319
[582/5000][500/535][59895] Loss_D: -0.026004 Loss_G: 0.031657 Loss_D_real: -0.023952 Loss_D_fake 0.002052
[582/5000][505/535][59896] Loss_D: -0.025292 Loss_G: -0.002089 Loss_D_real: -0.010667 Loss_D_fake 0.014625
[582/5000][510/535][59897] Loss_D: -0.024507 Loss_G: 0.013654 Loss_D_real: -0.012732 Loss_D_fake 0.011775
[582/5000][515/535][59898] Loss_D: -0.026059 Loss_G: 0.026899 Loss_D_real: -0.013282 Loss_D_fake 0.012777
[582/5000][520/535][59899] Loss_D: -0.025413 Loss_G: 0.005200 Loss_D_real: -0.010503 Loss_D_fake 0.014910
[582/5000][525/535][59900] Loss_D: -0.025068 Loss_G: 0.009879 Loss_D_real: -0.014956 Loss_D_fake 0.010112
[582/5000][530/535][59901] Loss_D: -0.025655 Loss_G: 0.015643 Loss_D_real: -0.017504 Loss_D_fake 0.008151
[582/5000][535/535][59902] Loss_D: -0.026951 Loss_G: -0.005807 Loss_D_real: -0.015145 Loss_D_fake 0.011805
[583/5000][5/535][59903] Loss_D: -0.025033 Loss_G: 0.001743 Loss_D_real: -0.010147 Loss_D_fake 0.014886
[583/5000][10/535][59904] Loss_D: -0.024663 Loss_G: 0.017759 Loss_D_real: -0.010139 Loss_D_fake 0.014524
[583/5000][15/535][59905] Loss_D: -0.025295 Loss_G: 0.020770 Loss_D_real: -0.019189 Loss_D_fake 0.006106
[583/5000][20/535][59906] Loss_D: -0.025886 Loss_G: 0.015728 Loss_D_real: -0.016814 Loss_D_fake 0.009072
[583/5000][25/535][59907] Loss_D: -0.026553 Loss_G: 0.020723 Loss_D_real: -0.029078 Loss_D_fake -0.002525
[583/5000][30/535][59908] Loss_D: -0.026986 Loss_G: 0.022162 Loss_D_real: -0.014123 Loss_D_fake 0.012863
[583/5000][35/535][59909] Loss_D: -0.024471 Loss_G: 0.037577 Loss_D_real: -0.028692 Loss_D_fake -0.004220
[583/5000][40/535][59910] Loss_D: -0.026137 Loss_G: 0.009904 Loss_D_real: -0.019299 Loss_D_fake 0.006838
[583/5000][45/535][59911] Loss_D: -0.024319 Loss_G: 0.028662 Loss_D_real: -0.029240 Loss_D_fake -0.004922
[583/5000][50/535][59912] Loss_D: -0.024698 Loss_G: 0.015810 Loss_D_real: -0.011464 Loss_D_fake 0.013234
[583/5000][55/535][59913] Loss_D: -0.024314 Loss_G: 0.041851 Loss_D_real: -0.035374 Loss_D_fake -0.011060
[583/5000][60/535][59914] Loss_D: -0.023512 Loss_G: -0.003227 Loss_D_real: 0.001430 Loss_D_fake 0.024942
[583/5000][65/535][59915] Loss_D: -0.024687 Loss_G: 0.009227 Loss_D_real: -0.013457 Loss_D_fake 0.011230
[583/5000][70/535][59916] Loss_D: -0.025372 Loss_G: 0.022582 Loss_D_real: -0.013140 Loss_D_fake 0.012232
[583/5000][75/535][59917] Loss_D: -0.024727 Loss_G: 0.033443 Loss_D_real: -0.024105 Loss_D_fake 0.000622
[583/5000][80/535][59918] Loss_D: -0.024000 Loss_G: 0.039683 Loss_D_real: -0.035158 Loss_D_fake -0.011158
[583/5000][85/535][59919] Loss_D: -0.025010 Loss_G: -0.006868 Loss_D_real: 0.000134 Loss_D_fake 0.025144
[583/5000][90/535][59920] Loss_D: -0.023671 Loss_G: 0.014222 Loss_D_real: -0.020376 Loss_D_fake 0.003295
[583/5000][95/535][59921] Loss_D: -0.025112 Loss_G: 0.028731 Loss_D_real: -0.027133 Loss_D_fake -0.002020
[583/5000][100/535][59922] Loss_D: -0.026307 Loss_G: 0.015443 Loss_D_real: -0.024780 Loss_D_fake 0.001527
[583/5000][105/535][59923] Loss_D: -0.026763 Loss_G: 0.009194 Loss_D_real: -0.024088 Loss_D_fake 0.002675
[583/5000][110/535][59924] Loss_D: -0.024505 Loss_G: 0.000397 Loss_D_real: 0.007306 Loss_D_fake 0.031811
[583/5000][115/535][59925] Loss_D: -0.026422 Loss_G: 0.026976 Loss_D_real: -0.022370 Loss_D_fake 0.004052
[583/5000][120/535][59926] Loss_D: -0.025102 Loss_G: -0.008760 Loss_D_real: 0.002328 Loss_D_fake 0.027430
[583/5000][125/535][59927] Loss_D: -0.024635 Loss_G: 0.015760 Loss_D_real: -0.016361 Loss_D_fake 0.008274
[583/5000][130/535][59928] Loss_D: -0.025059 Loss_G: -0.007187 Loss_D_real: -0.001026 Loss_D_fake 0.024033
[583/5000][135/535][59929] Loss_D: -0.025235 Loss_G: 0.008594 Loss_D_real: -0.010548 Loss_D_fake 0.014687
[583/5000][140/535][59930] Loss_D: -0.024686 Loss_G: 0.038959 Loss_D_real: -0.029999 Loss_D_fake -0.005313
[583/5000][145/535][59931] Loss_D: -0.025388 Loss_G: 0.000564 Loss_D_real: -0.006623 Loss_D_fake 0.018766
[583/5000][150/535][59932] Loss_D: -0.024271 Loss_G: 0.016092 Loss_D_real: -0.018978 Loss_D_fake 0.005293
[583/5000][155/535][59933] Loss_D: -0.026813 Loss_G: 0.014774 Loss_D_real: -0.020551 Loss_D_fake 0.006262
[583/5000][160/535][59934] Loss_D: -0.024984 Loss_G: -0.006440 Loss_D_real: -0.002827 Loss_D_fake 0.022157
[583/5000][165/535][59935] Loss_D: -0.024748 Loss_G: 0.004918 Loss_D_real: -0.007693 Loss_D_fake 0.017056
[583/5000][170/535][59936] Loss_D: -0.026001 Loss_G: 0.017927 Loss_D_real: -0.014082 Loss_D_fake 0.011919
[583/5000][175/535][59937] Loss_D: -0.025023 Loss_G: 0.024749 Loss_D_real: -0.021541 Loss_D_fake 0.003482
[583/5000][180/535][59938] Loss_D: -0.026312 Loss_G: 0.007735 Loss_D_real: -0.013747 Loss_D_fake 0.012564
[583/5000][185/535][59939] Loss_D: -0.023895 Loss_G: 0.029847 Loss_D_real: -0.026007 Loss_D_fake -0.002112
[583/5000][190/535][59940] Loss_D: -0.025242 Loss_G: 0.001536 Loss_D_real: -0.004187 Loss_D_fake 0.021055
[583/5000][195/535][59941] Loss_D: -0.023920 Loss_G: 0.022809 Loss_D_real: -0.020912 Loss_D_fake 0.003008
[583/5000][200/535][59942] Loss_D: -0.026008 Loss_G: 0.018207 Loss_D_real: -0.008705 Loss_D_fake 0.017303
[583/5000][205/535][59943] Loss_D: -0.025047 Loss_G: 0.023788 Loss_D_real: -0.030249 Loss_D_fake -0.005202
[583/5000][210/535][59944] Loss_D: -0.027044 Loss_G: 0.008815 Loss_D_real: -0.014510 Loss_D_fake 0.012534
[583/5000][215/535][59945] Loss_D: -0.026051 Loss_G: -0.000574 Loss_D_real: -0.009138 Loss_D_fake 0.016913
[583/5000][220/535][59946] Loss_D: -0.023716 Loss_G: 0.003907 Loss_D_real: 0.001415 Loss_D_fake 0.025131
[583/5000][225/535][59947] Loss_D: -0.025454 Loss_G: 0.001048 Loss_D_real: -0.007767 Loss_D_fake 0.017687
[583/5000][230/535][59948] Loss_D: -0.023182 Loss_G: -0.006380 Loss_D_real: -0.005723 Loss_D_fake 0.017459
[583/5000][235/535][59949] Loss_D: -0.025768 Loss_G: 0.021198 Loss_D_real: -0.024868 Loss_D_fake 0.000901
[583/5000][240/535][59950] Loss_D: -0.024734 Loss_G: 0.006812 Loss_D_real: -0.007379 Loss_D_fake 0.017354
[583/5000][245/535][59951] Loss_D: -0.025810 Loss_G: 0.025615 Loss_D_real: -0.026826 Loss_D_fake -0.001017
[583/5000][250/535][59952] Loss_D: -0.026682 Loss_G: 0.017061 Loss_D_real: -0.025862 Loss_D_fake 0.000820
[583/5000][255/535][59953] Loss_D: -0.025758 Loss_G: 0.013696 Loss_D_real: -0.013239 Loss_D_fake 0.012518
[583/5000][260/535][59954] Loss_D: -0.025960 Loss_G: 0.020071 Loss_D_real: -0.015837 Loss_D_fake 0.010123
[583/5000][265/535][59955] Loss_D: -0.027091 Loss_G: 0.003682 Loss_D_real: -0.005202 Loss_D_fake 0.021890
[583/5000][270/535][59956] Loss_D: -0.025035 Loss_G: -0.000344 Loss_D_real: -0.015190 Loss_D_fake 0.009845
[583/5000][275/535][59957] Loss_D: -0.025035 Loss_G: 0.000869 Loss_D_real: -0.004330 Loss_D_fake 0.020706
[583/5000][280/535][59958] Loss_D: -0.024654 Loss_G: 0.022493 Loss_D_real: -0.017254 Loss_D_fake 0.007400
[583/5000][285/535][59959] Loss_D: -0.025896 Loss_G: 0.017102 Loss_D_real: -0.015883 Loss_D_fake 0.010013
[583/5000][290/535][59960] Loss_D: -0.024968 Loss_G: 0.001554 Loss_D_real: -0.009544 Loss_D_fake 0.015424
[583/5000][295/535][59961] Loss_D: -0.025728 Loss_G: 0.015460 Loss_D_real: -0.025958 Loss_D_fake -0.000230
[583/5000][300/535][59962] Loss_D: -0.024472 Loss_G: -0.011000 Loss_D_real: 0.000754 Loss_D_fake 0.025226
[583/5000][305/535][59963] Loss_D: -0.023670 Loss_G: 0.028361 Loss_D_real: -0.029495 Loss_D_fake -0.005825
[583/5000][310/535][59964] Loss_D: -0.024743 Loss_G: -0.003277 Loss_D_real: 0.004632 Loss_D_fake 0.029375
[583/5000][315/535][59965] Loss_D: -0.024256 Loss_G: 0.030894 Loss_D_real: -0.019059 Loss_D_fake 0.005198
[583/5000][320/535][59966] Loss_D: -0.025579 Loss_G: 0.014837 Loss_D_real: -0.014600 Loss_D_fake 0.010979
[583/5000][325/535][59967] Loss_D: -0.025948 Loss_G: 0.008427 Loss_D_real: -0.009730 Loss_D_fake 0.016219
[583/5000][330/535][59968] Loss_D: -0.024855 Loss_G: 0.013755 Loss_D_real: -0.005673 Loss_D_fake 0.019182
[583/5000][335/535][59969] Loss_D: -0.023976 Loss_G: 0.004114 Loss_D_real: -0.009950 Loss_D_fake 0.014026
[583/5000][340/535][59970] Loss_D: -0.024730 Loss_G: 0.003839 Loss_D_real: -0.004978 Loss_D_fake 0.019752
[583/5000][345/535][59971] Loss_D: -0.024668 Loss_G: 0.011836 Loss_D_real: -0.019623 Loss_D_fake 0.005045
[583/5000][350/535][59972] Loss_D: -0.024676 Loss_G: 0.015771 Loss_D_real: -0.014764 Loss_D_fake 0.009912
[583/5000][355/535][59973] Loss_D: -0.024300 Loss_G: 0.000068 Loss_D_real: -0.011410 Loss_D_fake 0.012890
[583/5000][360/535][59974] Loss_D: -0.024352 Loss_G: 0.021807 Loss_D_real: -0.023610 Loss_D_fake 0.000742
[583/5000][365/535][59975] Loss_D: -0.025837 Loss_G: -0.001826 Loss_D_real: -0.008377 Loss_D_fake 0.017461
[583/5000][370/535][59976] Loss_D: -0.026198 Loss_G: -0.005639 Loss_D_real: 0.001520 Loss_D_fake 0.027718
[583/5000][375/535][59977] Loss_D: -0.024671 Loss_G: 0.014893 Loss_D_real: -0.013025 Loss_D_fake 0.011646
[583/5000][380/535][59978] Loss_D: -0.025799 Loss_G: 0.003001 Loss_D_real: -0.010012 Loss_D_fake 0.015787
[583/5000][385/535][59979] Loss_D: -0.025693 Loss_G: 0.016454 Loss_D_real: -0.009187 Loss_D_fake 0.016505
[583/5000][390/535][59980] Loss_D: -0.024141 Loss_G: 0.042307 Loss_D_real: -0.026729 Loss_D_fake -0.002588
[583/5000][395/535][59981] Loss_D: -0.026476 Loss_G: 0.010441 Loss_D_real: -0.014810 Loss_D_fake 0.011666
[583/5000][400/535][59982] Loss_D: -0.025066 Loss_G: 0.033192 Loss_D_real: -0.028457 Loss_D_fake -0.003391
[583/5000][405/535][59983] Loss_D: -0.024462 Loss_G: 0.021921 Loss_D_real: -0.026986 Loss_D_fake -0.002525
[583/5000][410/535][59984] Loss_D: -0.024264 Loss_G: 0.039590 Loss_D_real: -0.034680 Loss_D_fake -0.010416
[583/5000][415/535][59985] Loss_D: -0.026105 Loss_G: -0.004843 Loss_D_real: -0.014405 Loss_D_fake 0.011700
[583/5000][420/535][59986] Loss_D: -0.025276 Loss_G: 0.008973 Loss_D_real: -0.017096 Loss_D_fake 0.008180
[583/5000][425/535][59987] Loss_D: -0.025967 Loss_G: 0.013158 Loss_D_real: -0.008407 Loss_D_fake 0.017560
[583/5000][430/535][59988] Loss_D: -0.026453 Loss_G: 0.029335 Loss_D_real: -0.017683 Loss_D_fake 0.008770
[583/5000][435/535][59989] Loss_D: -0.024390 Loss_G: 0.007342 Loss_D_real: -0.017663 Loss_D_fake 0.006727
[583/5000][440/535][59990] Loss_D: -0.026384 Loss_G: 0.009110 Loss_D_real: -0.018323 Loss_D_fake 0.008061
[583/5000][445/535][59991] Loss_D: -0.024294 Loss_G: 0.031289 Loss_D_real: -0.021608 Loss_D_fake 0.002685
[583/5000][450/535][59992] Loss_D: -0.025473 Loss_G: 0.020736 Loss_D_real: -0.022957 Loss_D_fake 0.002516
[583/5000][455/535][59993] Loss_D: -0.025192 Loss_G: -0.012289 Loss_D_real: 0.003868 Loss_D_fake 0.029060
[583/5000][460/535][59994] Loss_D: -0.025436 Loss_G: 0.019507 Loss_D_real: -0.018611 Loss_D_fake 0.006825
[583/5000][465/535][59995] Loss_D: -0.024332 Loss_G: 0.025182 Loss_D_real: -0.022174 Loss_D_fake 0.002158
[583/5000][470/535][59996] Loss_D: -0.025680 Loss_G: 0.011773 Loss_D_real: -0.015741 Loss_D_fake 0.009939
[583/5000][475/535][59997] Loss_D: -0.024836 Loss_G: 0.010082 Loss_D_real: -0.008407 Loss_D_fake 0.016429
[583/5000][480/535][59998] Loss_D: -0.025766 Loss_G: 0.035035 Loss_D_real: -0.021044 Loss_D_fake 0.004722
[583/5000][485/535][59999] Loss_D: -0.024355 Loss_G: 0.022743 Loss_D_real: -0.025196 Loss_D_fake -0.000841
[583/5000][490/535][60000] Loss_D: -0.025099 Loss_G: 0.010482 Loss_D_real: -0.016747 Loss_D_fake 0.008353
[583/5000][535/535][60001] Loss_D: -0.028386 Loss_G: -0.006317 Loss_D_real: -0.009812 Loss_D_fake 0.018574
[584/5000][5/535][60002] Loss_D: -0.026557 Loss_G: 0.000162 Loss_D_real: -0.003701 Loss_D_fake 0.022856
[584/5000][10/535][60003] Loss_D: -0.025023 Loss_G: 0.016720 Loss_D_real: -0.010620 Loss_D_fake 0.014403
[584/5000][15/535][60004] Loss_D: -0.024878 Loss_G: 0.022566 Loss_D_real: -0.008524 Loss_D_fake 0.016354
[584/5000][20/535][60005] Loss_D: -0.025534 Loss_G: 0.013951 Loss_D_real: -0.021339 Loss_D_fake 0.004195
[584/5000][25/535][60006] Loss_D: -0.024588 Loss_G: 0.018404 Loss_D_real: -0.010477 Loss_D_fake 0.014111
[584/5000][30/535][60007] Loss_D: -0.024790 Loss_G: 0.003958 Loss_D_real: -0.000574 Loss_D_fake 0.024216
[584/5000][35/535][60008] Loss_D: -0.024441 Loss_G: 0.017939 Loss_D_real: -0.011266 Loss_D_fake 0.013175
[584/5000][40/535][60009] Loss_D: -0.025835 Loss_G: 0.012707 Loss_D_real: -0.009483 Loss_D_fake 0.016352
[584/5000][45/535][60010] Loss_D: -0.024517 Loss_G: 0.020088 Loss_D_real: -0.018867 Loss_D_fake 0.005650
[584/5000][50/535][60011] Loss_D: -0.025798 Loss_G: 0.042609 Loss_D_real: -0.019711 Loss_D_fake 0.006086
[584/5000][55/535][60012] Loss_D: -0.026370 Loss_G: -0.002255 Loss_D_real: -0.005454 Loss_D_fake 0.020916
[584/5000][60/535][60013] Loss_D: -0.025071 Loss_G: 0.021611 Loss_D_real: -0.030858 Loss_D_fake -0.005787
[584/5000][65/535][60014] Loss_D: -0.026480 Loss_G: 0.013876 Loss_D_real: -0.011548 Loss_D_fake 0.014932
[584/5000][70/535][60015] Loss_D: -0.025674 Loss_G: 0.016061 Loss_D_real: -0.010559 Loss_D_fake 0.015115
[584/5000][75/535][60016] Loss_D: -0.024666 Loss_G: 0.014913 Loss_D_real: -0.020148 Loss_D_fake 0.004518
[584/5000][80/535][60017] Loss_D: -0.024730 Loss_G: 0.012012 Loss_D_real: -0.014178 Loss_D_fake 0.010553
[584/5000][85/535][60018] Loss_D: -0.025988 Loss_G: -0.007868 Loss_D_real: -0.006999 Loss_D_fake 0.018989
[584/5000][90/535][60019] Loss_D: -0.024594 Loss_G: 0.019726 Loss_D_real: -0.019011 Loss_D_fake 0.005583
[584/5000][95/535][60020] Loss_D: -0.026789 Loss_G: 0.019527 Loss_D_real: -0.012716 Loss_D_fake 0.014073
[584/5000][100/535][60021] Loss_D: -0.025642 Loss_G: -0.002986 Loss_D_real: -0.001286 Loss_D_fake 0.024356
[584/5000][105/535][60022] Loss_D: -0.024751 Loss_G: 0.010964 Loss_D_real: -0.017731 Loss_D_fake 0.007019
[584/5000][110/535][60023] Loss_D: -0.025768 Loss_G: -0.009963 Loss_D_real: -0.007300 Loss_D_fake 0.018469
[584/5000][115/535][60024] Loss_D: -0.023617 Loss_G: 0.033789 Loss_D_real: -0.029855 Loss_D_fake -0.006238
[584/5000][120/535][60025] Loss_D: -0.024941 Loss_G: 0.004430 Loss_D_real: -0.000784 Loss_D_fake 0.024156
[584/5000][125/535][60026] Loss_D: -0.025643 Loss_G: 0.004077 Loss_D_real: -0.013908 Loss_D_fake 0.011734
[584/5000][130/535][60027] Loss_D: -0.023071 Loss_G: 0.028926 Loss_D_real: -0.028524 Loss_D_fake -0.005453
[584/5000][135/535][60028] Loss_D: -0.025950 Loss_G: 0.005027 Loss_D_real: 0.002187 Loss_D_fake 0.028137
[584/5000][140/535][60029] Loss_D: -0.022759 Loss_G: 0.038770 Loss_D_real: -0.032220 Loss_D_fake -0.009461
[584/5000][145/535][60030] Loss_D: -0.024873 Loss_G: 0.006873 Loss_D_real: -0.010238 Loss_D_fake 0.014635
[584/5000][150/535][60031] Loss_D: -0.025447 Loss_G: 0.008927 Loss_D_real: -0.020172 Loss_D_fake 0.005275
[584/5000][155/535][60032] Loss_D: -0.023481 Loss_G: 0.035595 Loss_D_real: -0.029466 Loss_D_fake -0.005986
[584/5000][160/535][60033] Loss_D: -0.025511 Loss_G: 0.000569 Loss_D_real: -0.005054 Loss_D_fake 0.020457
[584/5000][165/535][60034] Loss_D: -0.025290 Loss_G: 0.022381 Loss_D_real: -0.022429 Loss_D_fake 0.002860
[584/5000][170/535][60035] Loss_D: -0.024252 Loss_G: 0.031327 Loss_D_real: -0.028824 Loss_D_fake -0.004573
[584/5000][175/535][60036] Loss_D: -0.025175 Loss_G: 0.007596 Loss_D_real: -0.007118 Loss_D_fake 0.018057
[584/5000][180/535][60037] Loss_D: -0.025395 Loss_G: 0.008122 Loss_D_real: -0.006849 Loss_D_fake 0.018546
[584/5000][185/535][60038] Loss_D: -0.025526 Loss_G: 0.030997 Loss_D_real: -0.026404 Loss_D_fake -0.000879
[584/5000][190/535][60039] Loss_D: -0.025529 Loss_G: 0.015954 Loss_D_real: -0.018954 Loss_D_fake 0.006575
[584/5000][195/535][60040] Loss_D: -0.027496 Loss_G: -0.008822 Loss_D_real: -0.006351 Loss_D_fake 0.021146
[584/5000][200/535][60041] Loss_D: -0.024214 Loss_G: 0.010530 Loss_D_real: -0.016296 Loss_D_fake 0.007919
[584/5000][205/535][60042] Loss_D: -0.026385 Loss_G: 0.011270 Loss_D_real: -0.008319 Loss_D_fake 0.018067
[584/5000][210/535][60043] Loss_D: -0.025991 Loss_G: 0.010722 Loss_D_real: -0.009862 Loss_D_fake 0.016129
[584/5000][215/535][60044] Loss_D: -0.025898 Loss_G: 0.032292 Loss_D_real: -0.020479 Loss_D_fake 0.005418
[584/5000][220/535][60045] Loss_D: -0.025070 Loss_G: 0.008718 Loss_D_real: -0.017957 Loss_D_fake 0.007114
[584/5000][225/535][60046] Loss_D: -0.025892 Loss_G: 0.022997 Loss_D_real: -0.023090 Loss_D_fake 0.002802
[584/5000][230/535][60047] Loss_D: -0.025582 Loss_G: 0.001094 Loss_D_real: -0.008550 Loss_D_fake 0.017032
[584/5000][235/535][60048] Loss_D: -0.026122 Loss_G: 0.017802 Loss_D_real: -0.020781 Loss_D_fake 0.005341
[584/5000][240/535][60049] Loss_D: -0.026351 Loss_G: 0.017545 Loss_D_real: -0.016646 Loss_D_fake 0.009705
[584/5000][245/535][60050] Loss_D: -0.026664 Loss_G: 0.002170 Loss_D_real: -0.004943 Loss_D_fake 0.021721
[584/5000][250/535][60051] Loss_D: -0.025007 Loss_G: 0.034000 Loss_D_real: -0.026473 Loss_D_fake -0.001466
[584/5000][255/535][60052] Loss_D: -0.025477 Loss_G: 0.028829 Loss_D_real: -0.029610 Loss_D_fake -0.004133
[584/5000][260/535][60053] Loss_D: -0.026402 Loss_G: 0.011449 Loss_D_real: -0.013340 Loss_D_fake 0.013062
[584/5000][265/535][60054] Loss_D: -0.025195 Loss_G: 0.004609 Loss_D_real: 0.002147 Loss_D_fake 0.027342
[584/5000][270/535][60055] Loss_D: -0.023515 Loss_G: 0.027570 Loss_D_real: -0.026257 Loss_D_fake -0.002742
[584/5000][275/535][60056] Loss_D: -0.025907 Loss_G: 0.016168 Loss_D_real: -0.024369 Loss_D_fake 0.001538
[584/5000][280/535][60057] Loss_D: -0.027299 Loss_G: 0.016391 Loss_D_real: -0.013791 Loss_D_fake 0.013508
[584/5000][285/535][60058] Loss_D: -0.025799 Loss_G: -0.006830 Loss_D_real: -0.001393 Loss_D_fake 0.024406
[584/5000][290/535][60059] Loss_D: -0.024177 Loss_G: 0.040210 Loss_D_real: -0.036041 Loss_D_fake -0.011865
[584/5000][295/535][60060] Loss_D: -0.025151 Loss_G: -0.003190 Loss_D_real: -0.001954 Loss_D_fake 0.023197
[584/5000][300/535][60061] Loss_D: -0.025135 Loss_G: 0.014563 Loss_D_real: -0.021139 Loss_D_fake 0.003996
[584/5000][305/535][60062] Loss_D: -0.025727 Loss_G: 0.016188 Loss_D_real: -0.020123 Loss_D_fake 0.005604
[584/5000][310/535][60063] Loss_D: -0.024129 Loss_G: 0.036741 Loss_D_real: -0.032295 Loss_D_fake -0.008166
[584/5000][315/535][60064] Loss_D: -0.025476 Loss_G: -0.003441 Loss_D_real: -0.003677 Loss_D_fake 0.021799
[584/5000][320/535][60065] Loss_D: -0.024540 Loss_G: 0.031262 Loss_D_real: -0.026063 Loss_D_fake -0.001523
[584/5000][325/535][60066] Loss_D: -0.025635 Loss_G: 0.022941 Loss_D_real: -0.012459 Loss_D_fake 0.013176
[584/5000][330/535][60067] Loss_D: -0.026281 Loss_G: 0.015765 Loss_D_real: -0.014020 Loss_D_fake 0.012260
[584/5000][335/535][60068] Loss_D: -0.025764 Loss_G: -0.007310 Loss_D_real: -0.003157 Loss_D_fake 0.022607
[584/5000][340/535][60069] Loss_D: -0.024873 Loss_G: 0.023286 Loss_D_real: -0.025338 Loss_D_fake -0.000465
[584/5000][345/535][60070] Loss_D: -0.025703 Loss_G: 0.014994 Loss_D_real: -0.008570 Loss_D_fake 0.017133
[584/5000][350/535][60071] Loss_D: -0.026021 Loss_G: 0.018189 Loss_D_real: -0.004311 Loss_D_fake 0.021710
[584/5000][355/535][60072] Loss_D: -0.025216 Loss_G: 0.008989 Loss_D_real: -0.026661 Loss_D_fake -0.001445
[584/5000][360/535][60073] Loss_D: -0.027025 Loss_G: 0.013892 Loss_D_real: -0.031566 Loss_D_fake -0.004541
[584/5000][365/535][60074] Loss_D: -0.025254 Loss_G: 0.003681 Loss_D_real: -0.013863 Loss_D_fake 0.011390
[584/5000][370/535][60075] Loss_D: -0.026297 Loss_G: 0.021173 Loss_D_real: -0.017452 Loss_D_fake 0.008844
[584/5000][375/535][60076] Loss_D: -0.025709 Loss_G: 0.030901 Loss_D_real: -0.028953 Loss_D_fake -0.003244
[584/5000][380/535][60077] Loss_D: -0.025344 Loss_G: 0.015419 Loss_D_real: -0.016737 Loss_D_fake 0.008607
[584/5000][385/535][60078] Loss_D: -0.024434 Loss_G: 0.023734 Loss_D_real: -0.032063 Loss_D_fake -0.007629
[584/5000][390/535][60079] Loss_D: -0.024159 Loss_G: -0.008717 Loss_D_real: 0.008629 Loss_D_fake 0.032788
[584/5000][395/535][60080] Loss_D: -0.025098 Loss_G: 0.019825 Loss_D_real: -0.019742 Loss_D_fake 0.005356
[584/5000][400/535][60081] Loss_D: -0.024754 Loss_G: 0.014438 Loss_D_real: -0.011104 Loss_D_fake 0.013650
[584/5000][405/535][60082] Loss_D: -0.025416 Loss_G: 0.006909 Loss_D_real: -0.006198 Loss_D_fake 0.019217
[584/5000][410/535][60083] Loss_D: -0.025228 Loss_G: 0.026089 Loss_D_real: -0.030580 Loss_D_fake -0.005352
[584/5000][415/535][60084] Loss_D: -0.025575 Loss_G: 0.011508 Loss_D_real: -0.007270 Loss_D_fake 0.018305
[584/5000][420/535][60085] Loss_D: -0.025123 Loss_G: 0.027172 Loss_D_real: -0.019935 Loss_D_fake 0.005188
[584/5000][425/535][60086] Loss_D: -0.024442 Loss_G: 0.017945 Loss_D_real: -0.008660 Loss_D_fake 0.015782
[584/5000][430/535][60087] Loss_D: -0.026327 Loss_G: 0.002030 Loss_D_real: -0.023443 Loss_D_fake 0.002884
[584/5000][435/535][60088] Loss_D: -0.026436 Loss_G: 0.015625 Loss_D_real: -0.023819 Loss_D_fake 0.002617
[584/5000][440/535][60089] Loss_D: -0.023078 Loss_G: 0.027121 Loss_D_real: -0.032042 Loss_D_fake -0.008964
[584/5000][445/535][60090] Loss_D: -0.025630 Loss_G: 0.011349 Loss_D_real: -0.008882 Loss_D_fake 0.016748
[584/5000][450/535][60091] Loss_D: -0.025628 Loss_G: 0.006772 Loss_D_real: 0.001459 Loss_D_fake 0.027087
[584/5000][455/535][60092] Loss_D: -0.025309 Loss_G: 0.018384 Loss_D_real: -0.018934 Loss_D_fake 0.006375
[584/5000][460/535][60093] Loss_D: -0.023779 Loss_G: -0.005797 Loss_D_real: 0.001819 Loss_D_fake 0.025599
[584/5000][465/535][60094] Loss_D: -0.025798 Loss_G: 0.004468 Loss_D_real: -0.020145 Loss_D_fake 0.005653
[584/5000][470/535][60095] Loss_D: -0.023735 Loss_G: 0.037166 Loss_D_real: -0.020210 Loss_D_fake 0.003525
[584/5000][475/535][60096] Loss_D: -0.026512 Loss_G: -0.000199 Loss_D_real: 0.002664 Loss_D_fake 0.029176
[584/5000][480/535][60097] Loss_D: -0.025752 Loss_G: 0.023594 Loss_D_real: -0.018664 Loss_D_fake 0.007088
[584/5000][485/535][60098] Loss_D: -0.024145 Loss_G: 0.022916 Loss_D_real: -0.017626 Loss_D_fake 0.006520
[584/5000][490/535][60099] Loss_D: -0.026140 Loss_G: 0.004391 Loss_D_real: -0.001739 Loss_D_fake 0.024402
[584/5000][495/535][60100] Loss_D: -0.026130 Loss_G: 0.006952 Loss_D_real: -0.012253 Loss_D_fake 0.013877
[584/5000][500/535][60101] Loss_D: -0.025290 Loss_G: 0.022839 Loss_D_real: -0.016742 Loss_D_fake 0.008549
[584/5000][505/535][60102] Loss_D: -0.025366 Loss_G: 0.008284 Loss_D_real: -0.020752 Loss_D_fake 0.004614
[584/5000][510/535][60103] Loss_D: -0.024369 Loss_G: 0.004426 Loss_D_real: -0.001242 Loss_D_fake 0.023126
[584/5000][515/535][60104] Loss_D: -0.024072 Loss_G: 0.019725 Loss_D_real: -0.017859 Loss_D_fake 0.006213
[584/5000][520/535][60105] Loss_D: -0.025601 Loss_G: 0.026071 Loss_D_real: -0.026839 Loss_D_fake -0.001238
[584/5000][525/535][60106] Loss_D: -0.024929 Loss_G: 0.030344 Loss_D_real: -0.023660 Loss_D_fake 0.001269
[584/5000][530/535][60107] Loss_D: -0.025329 Loss_G: 0.014638 Loss_D_real: -0.013154 Loss_D_fake 0.012175
[584/5000][535/535][60108] Loss_D: -0.026234 Loss_G: 0.039446 Loss_D_real: -0.017367 Loss_D_fake 0.008867
[585/5000][5/535][60109] Loss_D: -0.024937 Loss_G: -0.000684 Loss_D_real: -0.014302 Loss_D_fake 0.010635
[585/5000][10/535][60110] Loss_D: -0.024173 Loss_G: -0.005213 Loss_D_real: -0.007506 Loss_D_fake 0.016667
[585/5000][15/535][60111] Loss_D: -0.025310 Loss_G: 0.019458 Loss_D_real: -0.024247 Loss_D_fake 0.001063
[585/5000][20/535][60112] Loss_D: -0.026004 Loss_G: 0.018438 Loss_D_real: -0.015349 Loss_D_fake 0.010654
[585/5000][25/535][60113] Loss_D: -0.024853 Loss_G: 0.020457 Loss_D_real: -0.016540 Loss_D_fake 0.008313
[585/5000][30/535][60114] Loss_D: -0.023744 Loss_G: 0.029588 Loss_D_real: -0.021184 Loss_D_fake 0.002560
[585/5000][35/535][60115] Loss_D: -0.026268 Loss_G: 0.006353 Loss_D_real: -0.014163 Loss_D_fake 0.012105
[585/5000][40/535][60116] Loss_D: -0.024243 Loss_G: 0.022146 Loss_D_real: -0.024268 Loss_D_fake -0.000025
[585/5000][45/535][60117] Loss_D: -0.024204 Loss_G: 0.033913 Loss_D_real: -0.035141 Loss_D_fake -0.010938
[585/5000][50/535][60118] Loss_D: -0.024602 Loss_G: 0.001360 Loss_D_real: 0.004545 Loss_D_fake 0.029148
[585/5000][55/535][60119] Loss_D: -0.023915 Loss_G: 0.016511 Loss_D_real: -0.020989 Loss_D_fake 0.002926
[585/5000][60/535][60120] Loss_D: -0.023806 Loss_G: 0.029637 Loss_D_real: -0.027163 Loss_D_fake -0.003358
[585/5000][65/535][60121] Loss_D: -0.023837 Loss_G: -0.000377 Loss_D_real: -0.008308 Loss_D_fake 0.015529
[585/5000][70/535][60122] Loss_D: -0.025712 Loss_G: 0.012297 Loss_D_real: -0.016721 Loss_D_fake 0.008992
[585/5000][75/535][60123] Loss_D: -0.024889 Loss_G: 0.019989 Loss_D_real: -0.009765 Loss_D_fake 0.015124
[585/5000][80/535][60124] Loss_D: -0.023237 Loss_G: 0.036199 Loss_D_real: -0.023150 Loss_D_fake 0.000087
[585/5000][85/535][60125] Loss_D: -0.025048 Loss_G: -0.012107 Loss_D_real: -0.005641 Loss_D_fake 0.019407
[585/5000][90/535][60126] Loss_D: -0.025423 Loss_G: 0.027026 Loss_D_real: -0.020617 Loss_D_fake 0.004806
[585/5000][95/535][60127] Loss_D: -0.025287 Loss_G: 0.000338 Loss_D_real: -0.001307 Loss_D_fake 0.023980
[585/5000][100/535][60128] Loss_D: -0.024721 Loss_G: 0.021767 Loss_D_real: -0.033284 Loss_D_fake -0.008563
[585/5000][105/535][60129] Loss_D: -0.025362 Loss_G: 0.008277 Loss_D_real: -0.011076 Loss_D_fake 0.014285
[585/5000][110/535][60130] Loss_D: -0.025764 Loss_G: 0.018254 Loss_D_real: -0.026959 Loss_D_fake -0.001196
[585/5000][115/535][60131] Loss_D: -0.026838 Loss_G: 0.023773 Loss_D_real: -0.016879 Loss_D_fake 0.009958
[585/5000][120/535][60132] Loss_D: -0.025246 Loss_G: 0.008770 Loss_D_real: -0.002272 Loss_D_fake 0.022974
[585/5000][125/535][60133] Loss_D: -0.026302 Loss_G: 0.023405 Loss_D_real: -0.017831 Loss_D_fake 0.008472
[585/5000][130/535][60134] Loss_D: -0.024843 Loss_G: 0.027936 Loss_D_real: -0.028847 Loss_D_fake -0.004004
[585/5000][135/535][60135] Loss_D: -0.024685 Loss_G: -0.004159 Loss_D_real: 0.001581 Loss_D_fake 0.026266
[585/5000][140/535][60136] Loss_D: -0.023542 Loss_G: 0.019509 Loss_D_real: -0.007900 Loss_D_fake 0.015643
[585/5000][145/535][60137] Loss_D: -0.024296 Loss_G: 0.031726 Loss_D_real: -0.021855 Loss_D_fake 0.002441
[585/5000][150/535][60138] Loss_D: -0.024852 Loss_G: 0.013769 Loss_D_real: -0.007848 Loss_D_fake 0.017005
[585/5000][155/535][60139] Loss_D: -0.024772 Loss_G: 0.005509 Loss_D_real: -0.009741 Loss_D_fake 0.015031
[585/5000][160/535][60140] Loss_D: -0.025653 Loss_G: 0.019427 Loss_D_real: -0.018567 Loss_D_fake 0.007086
[585/5000][165/535][60141] Loss_D: -0.025361 Loss_G: 0.022418 Loss_D_real: -0.017944 Loss_D_fake 0.007417
[585/5000][170/535][60142] Loss_D: -0.025992 Loss_G: 0.006237 Loss_D_real: -0.006860 Loss_D_fake 0.019132
[585/5000][175/535][60143] Loss_D: -0.024947 Loss_G: 0.025188 Loss_D_real: -0.018348 Loss_D_fake 0.006599
[585/5000][180/535][60144] Loss_D: -0.024779 Loss_G: -0.002288 Loss_D_real: -0.012133 Loss_D_fake 0.012646
[585/5000][185/535][60145] Loss_D: -0.024710 Loss_G: 0.029412 Loss_D_real: -0.020600 Loss_D_fake 0.004110
[585/5000][190/535][60146] Loss_D: -0.027033 Loss_G: 0.028095 Loss_D_real: -0.022894 Loss_D_fake 0.004139
[585/5000][195/535][60147] Loss_D: -0.024425 Loss_G: 0.015882 Loss_D_real: -0.015028 Loss_D_fake 0.009397
[585/5000][200/535][60148] Loss_D: -0.024010 Loss_G: -0.020677 Loss_D_real: 0.003213 Loss_D_fake 0.027223
[585/5000][205/535][60149] Loss_D: -0.025044 Loss_G: 0.014932 Loss_D_real: -0.010946 Loss_D_fake 0.014098
[585/5000][210/535][60150] Loss_D: -0.023836 Loss_G: 0.024241 Loss_D_real: -0.030606 Loss_D_fake -0.006770
[585/5000][215/535][60151] Loss_D: -0.025565 Loss_G: 0.028779 Loss_D_real: -0.015115 Loss_D_fake 0.010450
[585/5000][220/535][60152] Loss_D: -0.025988 Loss_G: 0.010404 Loss_D_real: -0.003890 Loss_D_fake 0.022098
[585/5000][225/535][60153] Loss_D: -0.024301 Loss_G: 0.010410 Loss_D_real: -0.008866 Loss_D_fake 0.015435
[585/5000][230/535][60154] Loss_D: -0.024974 Loss_G: 0.020984 Loss_D_real: -0.027722 Loss_D_fake -0.002748
[585/5000][235/535][60155] Loss_D: -0.025475 Loss_G: 0.002204 Loss_D_real: -0.004090 Loss_D_fake 0.021385
[585/5000][240/535][60156] Loss_D: -0.023994 Loss_G: -0.008093 Loss_D_real: 0.008924 Loss_D_fake 0.032918
[585/5000][245/535][60157] Loss_D: -0.024665 Loss_G: 0.003756 Loss_D_real: -0.021933 Loss_D_fake 0.002732
[585/5000][250/535][60158] Loss_D: -0.025125 Loss_G: 0.023563 Loss_D_real: -0.016730 Loss_D_fake 0.008396
[585/5000][255/535][60159] Loss_D: -0.026112 Loss_G: 0.009728 Loss_D_real: -0.016652 Loss_D_fake 0.009460
[585/5000][260/535][60160] Loss_D: -0.026598 Loss_G: 0.033504 Loss_D_real: -0.016969 Loss_D_fake 0.009629
[585/5000][265/535][60161] Loss_D: -0.026142 Loss_G: 0.027614 Loss_D_real: -0.024273 Loss_D_fake 0.001870
[585/5000][270/535][60162] Loss_D: -0.025974 Loss_G: 0.001332 Loss_D_real: -0.005531 Loss_D_fake 0.020443
[585/5000][275/535][60163] Loss_D: -0.025439 Loss_G: 0.033624 Loss_D_real: -0.024869 Loss_D_fake 0.000570
[585/5000][280/535][60164] Loss_D: -0.028043 Loss_G: 0.009499 Loss_D_real: -0.012215 Loss_D_fake 0.015828
[585/5000][285/535][60165] Loss_D: -0.025197 Loss_G: 0.020311 Loss_D_real: -0.015046 Loss_D_fake 0.010151
[585/5000][290/535][60166] Loss_D: -0.023985 Loss_G: 0.031996 Loss_D_real: -0.021888 Loss_D_fake 0.002097
[585/5000][295/535][60167] Loss_D: -0.026630 Loss_G: 0.019907 Loss_D_real: -0.011101 Loss_D_fake 0.015529
[585/5000][300/535][60168] Loss_D: -0.026075 Loss_G: 0.019301 Loss_D_real: -0.015140 Loss_D_fake 0.010935
[585/5000][305/535][60169] Loss_D: -0.023224 Loss_G: 0.033310 Loss_D_real: -0.033234 Loss_D_fake -0.010010
[585/5000][310/535][60170] Loss_D: -0.025923 Loss_G: -0.002576 Loss_D_real: -0.002574 Loss_D_fake 0.023349
[585/5000][315/535][60171] Loss_D: -0.023783 Loss_G: 0.009784 Loss_D_real: -0.014803 Loss_D_fake 0.008980
[585/5000][320/535][60172] Loss_D: -0.024138 Loss_G: 0.019012 Loss_D_real: -0.013110 Loss_D_fake 0.011028
[585/5000][325/535][60173] Loss_D: -0.024457 Loss_G: 0.035047 Loss_D_real: -0.021785 Loss_D_fake 0.002672
[585/5000][330/535][60174] Loss_D: -0.025446 Loss_G: -0.005756 Loss_D_real: -0.000431 Loss_D_fake 0.025015
[585/5000][335/535][60175] Loss_D: -0.024307 Loss_G: 0.023139 Loss_D_real: -0.023200 Loss_D_fake 0.001107
[585/5000][340/535][60176] Loss_D: -0.024088 Loss_G: 0.023353 Loss_D_real: -0.018560 Loss_D_fake 0.005529
[585/5000][345/535][60177] Loss_D: -0.024568 Loss_G: 0.035252 Loss_D_real: -0.032906 Loss_D_fake -0.008338
[585/5000][350/535][60178] Loss_D: -0.026497 Loss_G: 0.007724 Loss_D_real: -0.014834 Loss_D_fake 0.011663
[585/5000][355/535][60179] Loss_D: -0.023952 Loss_G: 0.032508 Loss_D_real: -0.022054 Loss_D_fake 0.001899
[585/5000][360/535][60180] Loss_D: -0.024340 Loss_G: 0.021813 Loss_D_real: -0.024970 Loss_D_fake -0.000629
[585/5000][365/535][60181] Loss_D: -0.026123 Loss_G: 0.022943 Loss_D_real: -0.021172 Loss_D_fake 0.004951
[585/5000][370/535][60182] Loss_D: -0.024957 Loss_G: 0.000759 Loss_D_real: -0.005362 Loss_D_fake 0.019595
[585/5000][375/535][60183] Loss_D: -0.024894 Loss_G: 0.014701 Loss_D_real: -0.017966 Loss_D_fake 0.006928
[585/5000][380/535][60184] Loss_D: -0.025562 Loss_G: 0.001889 Loss_D_real: -0.011511 Loss_D_fake 0.014051
[585/5000][385/535][60185] Loss_D: -0.025103 Loss_G: 0.032460 Loss_D_real: -0.023780 Loss_D_fake 0.001322
[585/5000][390/535][60186] Loss_D: -0.025380 Loss_G: 0.019603 Loss_D_real: -0.022874 Loss_D_fake 0.002506
[585/5000][395/535][60187] Loss_D: -0.025399 Loss_G: -0.006743 Loss_D_real: 0.003228 Loss_D_fake 0.028627
[585/5000][400/535][60188] Loss_D: -0.022969 Loss_G: 0.025005 Loss_D_real: -0.032496 Loss_D_fake -0.009527
[585/5000][405/535][60189] Loss_D: -0.024958 Loss_G: 0.035460 Loss_D_real: -0.024310 Loss_D_fake 0.000649
[585/5000][410/535][60190] Loss_D: -0.026108 Loss_G: 0.008316 Loss_D_real: -0.010628 Loss_D_fake 0.015480
[585/5000][415/535][60191] Loss_D: -0.024376 Loss_G: 0.016020 Loss_D_real: -0.012484 Loss_D_fake 0.011892
[585/5000][420/535][60192] Loss_D: -0.024740 Loss_G: 0.033286 Loss_D_real: -0.020022 Loss_D_fake 0.004718
[585/5000][425/535][60193] Loss_D: -0.024238 Loss_G: 0.002775 Loss_D_real: -0.001811 Loss_D_fake 0.022427
[585/5000][430/535][60194] Loss_D: -0.023242 Loss_G: 0.032631 Loss_D_real: -0.029435 Loss_D_fake -0.006193
[585/5000][435/535][60195] Loss_D: -0.024788 Loss_G: 0.020184 Loss_D_real: -0.015617 Loss_D_fake 0.009171
[585/5000][440/535][60196] Loss_D: -0.024786 Loss_G: 0.013308 Loss_D_real: -0.016845 Loss_D_fake 0.007941
[585/5000][445/535][60197] Loss_D: -0.025655 Loss_G: 0.015787 Loss_D_real: -0.012694 Loss_D_fake 0.012961
[585/5000][450/535][60198] Loss_D: -0.024080 Loss_G: 0.024667 Loss_D_real: -0.026497 Loss_D_fake -0.002417
[585/5000][455/535][60199] Loss_D: -0.024206 Loss_G: 0.002183 Loss_D_real: -0.001353 Loss_D_fake 0.022852
[585/5000][460/535][60200] Loss_D: -0.025898 Loss_G: 0.013027 Loss_D_real: -0.013166 Loss_D_fake 0.012733
[585/5000][465/535][60201] Loss_D: -0.025602 Loss_G: 0.033757 Loss_D_real: -0.029778 Loss_D_fake -0.004175
[585/5000][470/535][60202] Loss_D: -0.024292 Loss_G: -0.010591 Loss_D_real: 0.012688 Loss_D_fake 0.036981
[585/5000][475/535][60203] Loss_D: -0.026541 Loss_G: 0.019303 Loss_D_real: -0.018425 Loss_D_fake 0.008116
[585/5000][480/535][60204] Loss_D: -0.026178 Loss_G: 0.029082 Loss_D_real: -0.028847 Loss_D_fake -0.002669
[585/5000][485/535][60205] Loss_D: -0.026506 Loss_G: 0.030344 Loss_D_real: -0.025447 Loss_D_fake 0.001058
[585/5000][490/535][60206] Loss_D: -0.024764 Loss_G: 0.012495 Loss_D_real: -0.019386 Loss_D_fake 0.005377
[585/5000][495/535][60207] Loss_D: -0.026800 Loss_G: 0.025026 Loss_D_real: -0.026681 Loss_D_fake 0.000119
[585/5000][500/535][60208] Loss_D: -0.025521 Loss_G: -0.000522 Loss_D_real: -0.003617 Loss_D_fake 0.021903
[585/5000][505/535][60209] Loss_D: -0.025392 Loss_G: 0.021136 Loss_D_real: -0.018484 Loss_D_fake 0.006908
[585/5000][510/535][60210] Loss_D: -0.025881 Loss_G: -0.001271 Loss_D_real: -0.005572 Loss_D_fake 0.020309
[585/5000][515/535][60211] Loss_D: -0.024372 Loss_G: 0.023633 Loss_D_real: -0.019737 Loss_D_fake 0.004635
[585/5000][520/535][60212] Loss_D: -0.025657 Loss_G: -0.004045 Loss_D_real: -0.006831 Loss_D_fake 0.018826
[585/5000][525/535][60213] Loss_D: -0.025063 Loss_G: 0.004272 Loss_D_real: -0.004403 Loss_D_fake 0.020660
[585/5000][530/535][60214] Loss_D: -0.025137 Loss_G: 0.007730 Loss_D_real: -0.001178 Loss_D_fake 0.023959
[585/5000][535/535][60215] Loss_D: -0.025179 Loss_G: 0.027077 Loss_D_real: -0.009003 Loss_D_fake 0.016176
[586/5000][5/535][60216] Loss_D: -0.023496 Loss_G: 0.022840 Loss_D_real: -0.021647 Loss_D_fake 0.001849
[586/5000][10/535][60217] Loss_D: -0.025082 Loss_G: -0.001544 Loss_D_real: 0.006807 Loss_D_fake 0.031890
[586/5000][15/535][60218] Loss_D: -0.024226 Loss_G: 0.024762 Loss_D_real: -0.020100 Loss_D_fake 0.004126
[586/5000][20/535][60219] Loss_D: -0.026996 Loss_G: -0.001326 Loss_D_real: -0.004294 Loss_D_fake 0.022702
[586/5000][25/535][60220] Loss_D: -0.025849 Loss_G: -0.007042 Loss_D_real: 0.000727 Loss_D_fake 0.026575
[586/5000][30/535][60221] Loss_D: -0.025730 Loss_G: 0.019586 Loss_D_real: -0.023900 Loss_D_fake 0.001830
[586/5000][35/535][60222] Loss_D: -0.026867 Loss_G: 0.008365 Loss_D_real: -0.013060 Loss_D_fake 0.013808
[586/5000][40/535][60223] Loss_D: -0.025599 Loss_G: 0.035290 Loss_D_real: -0.022118 Loss_D_fake 0.003481
[586/5000][45/535][60224] Loss_D: -0.024946 Loss_G: 0.020263 Loss_D_real: -0.017170 Loss_D_fake 0.007776
[586/5000][50/535][60225] Loss_D: -0.025755 Loss_G: 0.024176 Loss_D_real: -0.016143 Loss_D_fake 0.009612
[586/5000][55/535][60226] Loss_D: -0.025266 Loss_G: 0.028970 Loss_D_real: -0.033915 Loss_D_fake -0.008649
[586/5000][60/535][60227] Loss_D: -0.024939 Loss_G: 0.014954 Loss_D_real: -0.013809 Loss_D_fake 0.011131
[586/5000][65/535][60228] Loss_D: -0.025037 Loss_G: 0.027682 Loss_D_real: -0.025515 Loss_D_fake -0.000478
[586/5000][70/535][60229] Loss_D: -0.024569 Loss_G: 0.029788 Loss_D_real: -0.027221 Loss_D_fake -0.002652
[586/5000][75/535][60230] Loss_D: -0.025770 Loss_G: 0.024864 Loss_D_real: -0.028063 Loss_D_fake -0.002292
[586/5000][80/535][60231] Loss_D: -0.025194 Loss_G: 0.011595 Loss_D_real: -0.019919 Loss_D_fake 0.005275
[586/5000][85/535][60232] Loss_D: -0.025392 Loss_G: 0.025183 Loss_D_real: -0.029595 Loss_D_fake -0.004202
[586/5000][90/535][60233] Loss_D: -0.026063 Loss_G: 0.016583 Loss_D_real: -0.012713 Loss_D_fake 0.013350
[586/5000][95/535][60234] Loss_D: -0.023552 Loss_G: 0.029511 Loss_D_real: -0.019664 Loss_D_fake 0.003888
[586/5000][100/535][60235] Loss_D: -0.024495 Loss_G: 0.025046 Loss_D_real: -0.032405 Loss_D_fake -0.007910
[586/5000][105/535][60236] Loss_D: -0.024421 Loss_G: 0.018206 Loss_D_real: -0.015388 Loss_D_fake 0.009033
[586/5000][110/535][60237] Loss_D: -0.024751 Loss_G: -0.006587 Loss_D_real: 0.002244 Loss_D_fake 0.026995
[586/5000][115/535][60238] Loss_D: -0.023612 Loss_G: 0.020139 Loss_D_real: -0.023678 Loss_D_fake -0.000065
[586/5000][120/535][60239] Loss_D: -0.025415 Loss_G: 0.007977 Loss_D_real: -0.016935 Loss_D_fake 0.008480
[586/5000][125/535][60240] Loss_D: -0.026002 Loss_G: 0.018272 Loss_D_real: -0.018876 Loss_D_fake 0.007126
[586/5000][130/535][60241] Loss_D: -0.025118 Loss_G: 0.002229 Loss_D_real: -0.001103 Loss_D_fake 0.024015
[586/5000][135/535][60242] Loss_D: -0.024564 Loss_G: 0.027616 Loss_D_real: -0.020882 Loss_D_fake 0.003682
[586/5000][140/535][60243] Loss_D: -0.025285 Loss_G: 0.014422 Loss_D_real: -0.019803 Loss_D_fake 0.005482
[586/5000][145/535][60244] Loss_D: -0.025491 Loss_G: 0.001695 Loss_D_real: -0.000164 Loss_D_fake 0.025327
[586/5000][150/535][60245] Loss_D: -0.024977 Loss_G: 0.029122 Loss_D_real: -0.027020 Loss_D_fake -0.002043
[586/5000][155/535][60246] Loss_D: -0.024860 Loss_G: 0.017280 Loss_D_real: -0.017801 Loss_D_fake 0.007059
[586/5000][160/535][60247] Loss_D: -0.025487 Loss_G: 0.004595 Loss_D_real: -0.014045 Loss_D_fake 0.011442
[586/5000][165/535][60248] Loss_D: -0.026613 Loss_G: 0.018440 Loss_D_real: -0.023018 Loss_D_fake 0.003595
[586/5000][170/535][60249] Loss_D: -0.024380 Loss_G: 0.032272 Loss_D_real: -0.021627 Loss_D_fake 0.002753
[586/5000][175/535][60250] Loss_D: -0.026320 Loss_G: 0.015601 Loss_D_real: -0.017584 Loss_D_fake 0.008737
[586/5000][180/535][60251] Loss_D: -0.025131 Loss_G: 0.018468 Loss_D_real: -0.009027 Loss_D_fake 0.016104
[586/5000][185/535][60252] Loss_D: -0.024355 Loss_G: 0.007062 Loss_D_real: -0.001110 Loss_D_fake 0.023245
[586/5000][190/535][60253] Loss_D: -0.024895 Loss_G: 0.016320 Loss_D_real: -0.021276 Loss_D_fake 0.003618
[586/5000][195/535][60254] Loss_D: -0.023666 Loss_G: 0.027818 Loss_D_real: -0.023520 Loss_D_fake 0.000146
[586/5000][200/535][60255] Loss_D: -0.025494 Loss_G: 0.010219 Loss_D_real: -0.013037 Loss_D_fake 0.012457
[586/5000][205/535][60256] Loss_D: -0.025562 Loss_G: 0.023384 Loss_D_real: -0.023524 Loss_D_fake 0.002038
[586/5000][210/535][60257] Loss_D: -0.025029 Loss_G: -0.004193 Loss_D_real: -0.011414 Loss_D_fake 0.013615
[586/5000][215/535][60258] Loss_D: -0.023084 Loss_G: 0.039316 Loss_D_real: -0.032190 Loss_D_fake -0.009106
[586/5000][220/535][60259] Loss_D: -0.025734 Loss_G: 0.011660 Loss_D_real: -0.001147 Loss_D_fake 0.024588
[586/5000][225/535][60260] Loss_D: -0.024618 Loss_G: 0.022316 Loss_D_real: -0.028442 Loss_D_fake -0.003823
[586/5000][230/535][60261] Loss_D: -0.025887 Loss_G: 0.012747 Loss_D_real: -0.014511 Loss_D_fake 0.011376
[586/5000][235/535][60262] Loss_D: -0.024133 Loss_G: 0.033782 Loss_D_real: -0.018113 Loss_D_fake 0.006020
[586/5000][240/535][60263] Loss_D: -0.025221 Loss_G: -0.002931 Loss_D_real: -0.002335 Loss_D_fake 0.022886
[586/5000][245/535][60264] Loss_D: -0.023434 Loss_G: -0.002853 Loss_D_real: -0.010088 Loss_D_fake 0.013346
[586/5000][250/535][60265] Loss_D: -0.025887 Loss_G: -0.010734 Loss_D_real: -0.000729 Loss_D_fake 0.025159
[586/5000][255/535][60266] Loss_D: -0.025044 Loss_G: 0.023587 Loss_D_real: -0.017065 Loss_D_fake 0.007979
[586/5000][260/535][60267] Loss_D: -0.024880 Loss_G: 0.008450 Loss_D_real: 0.009031 Loss_D_fake 0.033911
[586/5000][265/535][60268] Loss_D: -0.024561 Loss_G: 0.006302 Loss_D_real: -0.014663 Loss_D_fake 0.009899
[586/5000][270/535][60269] Loss_D: -0.027256 Loss_G: 0.020760 Loss_D_real: -0.019117 Loss_D_fake 0.008139
[586/5000][275/535][60270] Loss_D: -0.025638 Loss_G: 0.021961 Loss_D_real: -0.003685 Loss_D_fake 0.021953
[586/5000][280/535][60271] Loss_D: -0.025350 Loss_G: 0.014872 Loss_D_real: -0.007934 Loss_D_fake 0.017416
[586/5000][285/535][60272] Loss_D: -0.024104 Loss_G: 0.007352 Loss_D_real: -0.013852 Loss_D_fake 0.010252
[586/5000][290/535][60273] Loss_D: -0.026463 Loss_G: 0.012933 Loss_D_real: -0.016635 Loss_D_fake 0.009828
[586/5000][295/535][60274] Loss_D: -0.026098 Loss_G: 0.010640 Loss_D_real: -0.015814 Loss_D_fake 0.010284
[586/5000][300/535][60275] Loss_D: -0.027114 Loss_G: 0.015975 Loss_D_real: -0.002705 Loss_D_fake 0.024409
[586/5000][305/535][60276] Loss_D: -0.025266 Loss_G: 0.010483 Loss_D_real: -0.023327 Loss_D_fake 0.001939
[586/5000][310/535][60277] Loss_D: -0.025313 Loss_G: 0.022579 Loss_D_real: -0.018045 Loss_D_fake 0.007268
[586/5000][315/535][60278] Loss_D: -0.025458 Loss_G: 0.017387 Loss_D_real: -0.014698 Loss_D_fake 0.010760
[586/5000][320/535][60279] Loss_D: -0.024612 Loss_G: 0.020722 Loss_D_real: -0.019612 Loss_D_fake 0.005000
[586/5000][325/535][60280] Loss_D: -0.025164 Loss_G: -0.013912 Loss_D_real: -0.001336 Loss_D_fake 0.023828
[586/5000][330/535][60281] Loss_D: -0.025004 Loss_G: 0.026567 Loss_D_real: -0.020320 Loss_D_fake 0.004684
[586/5000][335/535][60282] Loss_D: -0.022095 Loss_G: -0.023590 Loss_D_real: 0.013644 Loss_D_fake 0.035739
[586/5000][340/535][60283] Loss_D: -0.024168 Loss_G: 0.010754 Loss_D_real: -0.014617 Loss_D_fake 0.009550
[586/5000][345/535][60284] Loss_D: -0.024477 Loss_G: 0.016431 Loss_D_real: -0.020328 Loss_D_fake 0.004149
[586/5000][350/535][60285] Loss_D: -0.025843 Loss_G: 0.021088 Loss_D_real: -0.010111 Loss_D_fake 0.015731
[586/5000][355/535][60286] Loss_D: -0.026209 Loss_G: 0.027909 Loss_D_real: -0.022403 Loss_D_fake 0.003806
[586/5000][360/535][60287] Loss_D: -0.025379 Loss_G: 0.006175 Loss_D_real: -0.015443 Loss_D_fake 0.009935
[586/5000][365/535][60288] Loss_D: -0.024996 Loss_G: 0.024192 Loss_D_real: -0.021911 Loss_D_fake 0.003085
[586/5000][370/535][60289] Loss_D: -0.024497 Loss_G: 0.027583 Loss_D_real: -0.029521 Loss_D_fake -0.005025
[586/5000][375/535][60290] Loss_D: -0.025436 Loss_G: 0.002688 Loss_D_real: -0.005723 Loss_D_fake 0.019713
[586/5000][380/535][60291] Loss_D: -0.024465 Loss_G: 0.030874 Loss_D_real: -0.025357 Loss_D_fake -0.000892
[586/5000][385/535][60292] Loss_D: -0.025731 Loss_G: 0.018358 Loss_D_real: -0.012470 Loss_D_fake 0.013261
[586/5000][390/535][60293] Loss_D: -0.025431 Loss_G: 0.020778 Loss_D_real: -0.017894 Loss_D_fake 0.007537
[586/5000][395/535][60294] Loss_D: -0.025914 Loss_G: 0.021873 Loss_D_real: -0.026054 Loss_D_fake -0.000140
[586/5000][400/535][60295] Loss_D: -0.026989 Loss_G: -0.003582 Loss_D_real: -0.003175 Loss_D_fake 0.023814
[586/5000][405/535][60296] Loss_D: -0.025500 Loss_G: 0.013003 Loss_D_real: -0.012963 Loss_D_fake 0.012537
[586/5000][410/535][60297] Loss_D: -0.026139 Loss_G: 0.012740 Loss_D_real: -0.022974 Loss_D_fake 0.003164
[586/5000][415/535][60298] Loss_D: -0.025598 Loss_G: -0.002047 Loss_D_real: -0.002649 Loss_D_fake 0.022949
[586/5000][420/535][60299] Loss_D: -0.026272 Loss_G: 0.025290 Loss_D_real: -0.013728 Loss_D_fake 0.012544
[586/5000][425/535][60300] Loss_D: -0.025350 Loss_G: -0.003740 Loss_D_real: -0.008180 Loss_D_fake 0.017170
[586/5000][430/535][60301] Loss_D: -0.026810 Loss_G: 0.032999 Loss_D_real: -0.016296 Loss_D_fake 0.010514
[586/5000][435/535][60302] Loss_D: -0.026486 Loss_G: 0.009302 Loss_D_real: -0.007689 Loss_D_fake 0.018797
[586/5000][440/535][60303] Loss_D: -0.023846 Loss_G: 0.030696 Loss_D_real: -0.017461 Loss_D_fake 0.006385
[586/5000][445/535][60304] Loss_D: -0.025196 Loss_G: 0.016815 Loss_D_real: -0.016178 Loss_D_fake 0.009018
[586/5000][450/535][60305] Loss_D: -0.022831 Loss_G: 0.027438 Loss_D_real: -0.040337 Loss_D_fake -0.017506
[586/5000][455/535][60306] Loss_D: -0.025288 Loss_G: -0.011379 Loss_D_real: 0.001320 Loss_D_fake 0.026608
[586/5000][460/535][60307] Loss_D: -0.024395 Loss_G: 0.010121 Loss_D_real: -0.015135 Loss_D_fake 0.009260
[586/5000][465/535][60308] Loss_D: -0.022959 Loss_G: 0.031973 Loss_D_real: -0.031400 Loss_D_fake -0.008441
[586/5000][470/535][60309] Loss_D: -0.025287 Loss_G: 0.008567 Loss_D_real: -0.016197 Loss_D_fake 0.009090
[586/5000][475/535][60310] Loss_D: -0.023305 Loss_G: -0.005296 Loss_D_real: 0.005165 Loss_D_fake 0.028470
[586/5000][480/535][60311] Loss_D: -0.025416 Loss_G: 0.011354 Loss_D_real: -0.021176 Loss_D_fake 0.004240
[586/5000][485/535][60312] Loss_D: -0.024308 Loss_G: 0.006560 Loss_D_real: -0.014190 Loss_D_fake 0.010118
[586/5000][490/535][60313] Loss_D: -0.024720 Loss_G: 0.017476 Loss_D_real: -0.018737 Loss_D_fake 0.005983
[586/5000][495/535][60314] Loss_D: -0.026081 Loss_G: 0.016432 Loss_D_real: -0.002777 Loss_D_fake 0.023304
[586/5000][500/535][60315] Loss_D: -0.025576 Loss_G: 0.020704 Loss_D_real: -0.022936 Loss_D_fake 0.002640
[586/5000][505/535][60316] Loss_D: -0.024997 Loss_G: 0.018175 Loss_D_real: -0.030144 Loss_D_fake -0.005147
[586/5000][510/535][60317] Loss_D: -0.025905 Loss_G: 0.016902 Loss_D_real: -0.015868 Loss_D_fake 0.010037
[586/5000][515/535][60318] Loss_D: -0.026282 Loss_G: 0.027804 Loss_D_real: -0.022772 Loss_D_fake 0.003509
[586/5000][520/535][60319] Loss_D: -0.026017 Loss_G: -0.014349 Loss_D_real: 0.003853 Loss_D_fake 0.029870
[586/5000][525/535][60320] Loss_D: -0.024987 Loss_G: 0.015131 Loss_D_real: -0.021370 Loss_D_fake 0.003618
[586/5000][530/535][60321] Loss_D: -0.023862 Loss_G: 0.040200 Loss_D_real: -0.030644 Loss_D_fake -0.006782
[586/5000][535/535][60322] Loss_D: -0.021647 Loss_G: 0.024662 Loss_D_real: -0.018339 Loss_D_fake 0.003309
[587/5000][5/535][60323] Loss_D: -0.025713 Loss_G: 0.004759 Loss_D_real: -0.015127 Loss_D_fake 0.010586
[587/5000][10/535][60324] Loss_D: -0.025075 Loss_G: 0.007380 Loss_D_real: -0.015529 Loss_D_fake 0.009547
[587/5000][15/535][60325] Loss_D: -0.025569 Loss_G: 0.013455 Loss_D_real: -0.009151 Loss_D_fake 0.016419
[587/5000][20/535][60326] Loss_D: -0.026986 Loss_G: 0.012969 Loss_D_real: -0.009520 Loss_D_fake 0.017466
[587/5000][25/535][60327] Loss_D: -0.024067 Loss_G: -0.000744 Loss_D_real: 0.005659 Loss_D_fake 0.029726
[587/5000][30/535][60328] Loss_D: -0.024123 Loss_G: 0.020312 Loss_D_real: -0.023593 Loss_D_fake 0.000531
[587/5000][35/535][60329] Loss_D: -0.025185 Loss_G: 0.028492 Loss_D_real: -0.027119 Loss_D_fake -0.001934
[587/5000][40/535][60330] Loss_D: -0.026096 Loss_G: 0.012574 Loss_D_real: -0.008408 Loss_D_fake 0.017687
[587/5000][45/535][60331] Loss_D: -0.025756 Loss_G: 0.006433 Loss_D_real: -0.016812 Loss_D_fake 0.008944
[587/5000][50/535][60332] Loss_D: -0.025085 Loss_G: 0.021291 Loss_D_real: -0.021692 Loss_D_fake 0.003393
[587/5000][55/535][60333] Loss_D: -0.024604 Loss_G: 0.027937 Loss_D_real: -0.022827 Loss_D_fake 0.001777
[587/5000][60/535][60334] Loss_D: -0.026556 Loss_G: 0.002753 Loss_D_real: -0.006511 Loss_D_fake 0.020045
[587/5000][65/535][60335] Loss_D: -0.024684 Loss_G: 0.017873 Loss_D_real: -0.019941 Loss_D_fake 0.004743
[587/5000][70/535][60336] Loss_D: -0.025046 Loss_G: 0.020785 Loss_D_real: -0.016359 Loss_D_fake 0.008687
[587/5000][75/535][60337] Loss_D: -0.025503 Loss_G: 0.016016 Loss_D_real: -0.017086 Loss_D_fake 0.008417
[587/5000][80/535][60338] Loss_D: -0.026876 Loss_G: 0.017426 Loss_D_real: -0.021972 Loss_D_fake 0.004904
[587/5000][85/535][60339] Loss_D: -0.025338 Loss_G: 0.012180 Loss_D_real: 0.003717 Loss_D_fake 0.029055
[587/5000][90/535][60340] Loss_D: -0.024942 Loss_G: 0.015325 Loss_D_real: -0.013805 Loss_D_fake 0.011137
[587/5000][95/535][60341] Loss_D: -0.024135 Loss_G: 0.022231 Loss_D_real: -0.027124 Loss_D_fake -0.002989
[587/5000][100/535][60342] Loss_D: -0.025801 Loss_G: 0.023036 Loss_D_real: -0.024191 Loss_D_fake 0.001609
[587/5000][105/535][60343] Loss_D: -0.025452 Loss_G: 0.009515 Loss_D_real: -0.008103 Loss_D_fake 0.017350
[587/5000][110/535][60344] Loss_D: -0.023823 Loss_G: 0.043943 Loss_D_real: -0.027107 Loss_D_fake -0.003284
[587/5000][115/535][60345] Loss_D: -0.025534 Loss_G: 0.007212 Loss_D_real: -0.013181 Loss_D_fake 0.012353
[587/5000][120/535][60346] Loss_D: -0.025036 Loss_G: 0.026682 Loss_D_real: -0.019224 Loss_D_fake 0.005812
[587/5000][125/535][60347] Loss_D: -0.024783 Loss_G: -0.013408 Loss_D_real: -0.002211 Loss_D_fake 0.022572
[587/5000][130/535][60348] Loss_D: -0.023252 Loss_G: 0.034472 Loss_D_real: -0.029023 Loss_D_fake -0.005771
[587/5000][135/535][60349] Loss_D: -0.025464 Loss_G: 0.006139 Loss_D_real: -0.012832 Loss_D_fake 0.012632
[587/5000][140/535][60350] Loss_D: -0.025198 Loss_G: -0.000345 Loss_D_real: -0.009468 Loss_D_fake 0.015730
[587/5000][145/535][60351] Loss_D: -0.025338 Loss_G: 0.016679 Loss_D_real: -0.013325 Loss_D_fake 0.012014
[587/5000][150/535][60352] Loss_D: -0.024646 Loss_G: 0.002603 Loss_D_real: 0.001004 Loss_D_fake 0.025650
[587/5000][155/535][60353] Loss_D: -0.024471 Loss_G: 0.020203 Loss_D_real: -0.025479 Loss_D_fake -0.001008
[587/5000][160/535][60354] Loss_D: -0.025940 Loss_G: 0.019483 Loss_D_real: -0.017132 Loss_D_fake 0.008808
[587/5000][165/535][60355] Loss_D: -0.025946 Loss_G: -0.003039 Loss_D_real: -0.008054 Loss_D_fake 0.017892
[587/5000][170/535][60356] Loss_D: -0.024509 Loss_G: 0.029644 Loss_D_real: -0.027557 Loss_D_fake -0.003048
[587/5000][175/535][60357] Loss_D: -0.024618 Loss_G: 0.028941 Loss_D_real: -0.017101 Loss_D_fake 0.007517
[587/5000][180/535][60358] Loss_D: -0.024665 Loss_G: -0.003289 Loss_D_real: -0.001259 Loss_D_fake 0.023406
[587/5000][185/535][60359] Loss_D: -0.025323 Loss_G: 0.018318 Loss_D_real: -0.013849 Loss_D_fake 0.011474
[587/5000][190/535][60360] Loss_D: -0.025500 Loss_G: 0.005739 Loss_D_real: -0.000661 Loss_D_fake 0.024840
[587/5000][195/535][60361] Loss_D: -0.026267 Loss_G: 0.008696 Loss_D_real: -0.015498 Loss_D_fake 0.010770
[587/5000][200/535][60362] Loss_D: -0.024736 Loss_G: 0.014704 Loss_D_real: -0.008455 Loss_D_fake 0.016281
[587/5000][205/535][60363] Loss_D: -0.026127 Loss_G: 0.009732 Loss_D_real: -0.006856 Loss_D_fake 0.019272
[587/5000][210/535][60364] Loss_D: -0.023499 Loss_G: 0.037442 Loss_D_real: -0.031025 Loss_D_fake -0.007526
[587/5000][215/535][60365] Loss_D: -0.023831 Loss_G: -0.012044 Loss_D_real: 0.004484 Loss_D_fake 0.028315
[587/5000][220/535][60366] Loss_D: -0.023915 Loss_G: 0.026501 Loss_D_real: -0.024940 Loss_D_fake -0.001025
[587/5000][225/535][60367] Loss_D: -0.025514 Loss_G: 0.010940 Loss_D_real: -0.009149 Loss_D_fake 0.016365
[587/5000][230/535][60368] Loss_D: -0.026389 Loss_G: 0.018000 Loss_D_real: -0.011348 Loss_D_fake 0.015041
[587/5000][235/535][60369] Loss_D: -0.023959 Loss_G: 0.001497 Loss_D_real: 0.002410 Loss_D_fake 0.026369
[587/5000][240/535][60370] Loss_D: -0.025206 Loss_G: 0.013447 Loss_D_real: -0.010321 Loss_D_fake 0.014886
[587/5000][245/535][60371] Loss_D: -0.024783 Loss_G: 0.025144 Loss_D_real: -0.022308 Loss_D_fake 0.002474
[587/5000][250/535][60372] Loss_D: -0.025034 Loss_G: 0.007839 Loss_D_real: -0.010589 Loss_D_fake 0.014445
[587/5000][255/535][60373] Loss_D: -0.025058 Loss_G: 0.026723 Loss_D_real: -0.024006 Loss_D_fake 0.001053
[587/5000][260/535][60374] Loss_D: -0.022927 Loss_G: 0.035120 Loss_D_real: -0.017958 Loss_D_fake 0.004969
[587/5000][265/535][60375] Loss_D: -0.025989 Loss_G: 0.006563 Loss_D_real: -0.013040 Loss_D_fake 0.012949
[587/5000][270/535][60376] Loss_D: -0.026816 Loss_G: 0.024964 Loss_D_real: -0.027474 Loss_D_fake -0.000657
[587/5000][275/535][60377] Loss_D: -0.024547 Loss_G: 0.012535 Loss_D_real: -0.015233 Loss_D_fake 0.009314
[587/5000][280/535][60378] Loss_D: -0.025940 Loss_G: 0.019609 Loss_D_real: -0.020317 Loss_D_fake 0.005623
[587/5000][285/535][60379] Loss_D: -0.024001 Loss_G: 0.023047 Loss_D_real: -0.016120 Loss_D_fake 0.007881
[587/5000][290/535][60380] Loss_D: -0.024794 Loss_G: 0.015152 Loss_D_real: -0.018366 Loss_D_fake 0.006428
[587/5000][295/535][60381] Loss_D: -0.024067 Loss_G: -0.006180 Loss_D_real: -0.004332 Loss_D_fake 0.019736
[587/5000][300/535][60382] Loss_D: -0.022963 Loss_G: 0.015986 Loss_D_real: -0.018601 Loss_D_fake 0.004362
[587/5000][305/535][60383] Loss_D: -0.024139 Loss_G: 0.015260 Loss_D_real: -0.010751 Loss_D_fake 0.013388
[587/5000][310/535][60384] Loss_D: -0.025426 Loss_G: 0.021468 Loss_D_real: -0.012474 Loss_D_fake 0.012952
[587/5000][315/535][60385] Loss_D: -0.025090 Loss_G: 0.011039 Loss_D_real: -0.014436 Loss_D_fake 0.010654
[587/5000][320/535][60386] Loss_D: -0.025619 Loss_G: 0.004523 Loss_D_real: -0.000829 Loss_D_fake 0.024790
[587/5000][325/535][60387] Loss_D: -0.023888 Loss_G: 0.044388 Loss_D_real: -0.029255 Loss_D_fake -0.005367
[587/5000][330/535][60388] Loss_D: -0.025321 Loss_G: 0.021280 Loss_D_real: -0.024782 Loss_D_fake 0.000539
[587/5000][335/535][60389] Loss_D: -0.025045 Loss_G: 0.007758 Loss_D_real: -0.015821 Loss_D_fake 0.009224
[587/5000][340/535][60390] Loss_D: -0.025687 Loss_G: 0.008484 Loss_D_real: -0.001185 Loss_D_fake 0.024502
[587/5000][345/535][60391] Loss_D: -0.024820 Loss_G: 0.013220 Loss_D_real: -0.013957 Loss_D_fake 0.010864
[587/5000][350/535][60392] Loss_D: -0.025538 Loss_G: 0.021394 Loss_D_real: -0.017858 Loss_D_fake 0.007679
[587/5000][355/535][60393] Loss_D: -0.026935 Loss_G: 0.015765 Loss_D_real: -0.020999 Loss_D_fake 0.005936
[587/5000][360/535][60394] Loss_D: -0.025241 Loss_G: 0.016865 Loss_D_real: -0.022833 Loss_D_fake 0.002408
[587/5000][365/535][60395] Loss_D: -0.026514 Loss_G: -0.001831 Loss_D_real: -0.009612 Loss_D_fake 0.016902
[587/5000][370/535][60396] Loss_D: -0.026566 Loss_G: 0.013460 Loss_D_real: -0.009231 Loss_D_fake 0.017334
[587/5000][375/535][60397] Loss_D: -0.026401 Loss_G: 0.045278 Loss_D_real: -0.028960 Loss_D_fake -0.002559
[587/5000][380/535][60398] Loss_D: -0.025022 Loss_G: 0.024178 Loss_D_real: -0.025530 Loss_D_fake -0.000508
[587/5000][385/535][60399] Loss_D: -0.024778 Loss_G: 0.020975 Loss_D_real: -0.022654 Loss_D_fake 0.002124
[587/5000][390/535][60400] Loss_D: -0.026063 Loss_G: 0.016785 Loss_D_real: -0.019306 Loss_D_fake 0.006757
[587/5000][395/535][60401] Loss_D: -0.025813 Loss_G: 0.004233 Loss_D_real: -0.014179 Loss_D_fake 0.011634
[587/5000][400/535][60402] Loss_D: -0.024170 Loss_G: 0.034514 Loss_D_real: -0.030121 Loss_D_fake -0.005951
[587/5000][405/535][60403] Loss_D: -0.026444 Loss_G: 0.041706 Loss_D_real: -0.027106 Loss_D_fake -0.000661
[587/5000][410/535][60404] Loss_D: -0.025119 Loss_G: -0.007379 Loss_D_real: 0.000482 Loss_D_fake 0.025602
[587/5000][415/535][60405] Loss_D: -0.025748 Loss_G: 0.008846 Loss_D_real: -0.014237 Loss_D_fake 0.011511
[587/5000][420/535][60406] Loss_D: -0.025151 Loss_G: 0.021820 Loss_D_real: -0.025799 Loss_D_fake -0.000649
[587/5000][425/535][60407] Loss_D: -0.023763 Loss_G: 0.031003 Loss_D_real: -0.037635 Loss_D_fake -0.013872
[587/5000][430/535][60408] Loss_D: -0.026350 Loss_G: 0.016247 Loss_D_real: -0.014049 Loss_D_fake 0.012301
[587/5000][435/535][60409] Loss_D: -0.025341 Loss_G: 0.015471 Loss_D_real: -0.017961 Loss_D_fake 0.007380
[587/5000][440/535][60410] Loss_D: -0.025972 Loss_G: -0.006163 Loss_D_real: -0.003405 Loss_D_fake 0.022566
[587/5000][445/535][60411] Loss_D: -0.024592 Loss_G: 0.023282 Loss_D_real: -0.015509 Loss_D_fake 0.009083
[587/5000][450/535][60412] Loss_D: -0.026085 Loss_G: 0.008640 Loss_D_real: -0.020812 Loss_D_fake 0.005273
[587/5000][455/535][60413] Loss_D: -0.025984 Loss_G: 0.002684 Loss_D_real: -0.007959 Loss_D_fake 0.018024
[587/5000][460/535][60414] Loss_D: -0.025632 Loss_G: 0.037910 Loss_D_real: -0.023665 Loss_D_fake 0.001967
[587/5000][465/535][60415] Loss_D: -0.024067 Loss_G: 0.037792 Loss_D_real: -0.037750 Loss_D_fake -0.013683
[587/5000][470/535][60416] Loss_D: -0.024391 Loss_G: 0.012272 Loss_D_real: -0.014740 Loss_D_fake 0.009650
[587/5000][475/535][60417] Loss_D: -0.026172 Loss_G: 0.007397 Loss_D_real: -0.019182 Loss_D_fake 0.006989
[587/5000][480/535][60418] Loss_D: -0.025467 Loss_G: 0.007178 Loss_D_real: -0.009976 Loss_D_fake 0.015491
[587/5000][485/535][60419] Loss_D: -0.025153 Loss_G: 0.005816 Loss_D_real: -0.006028 Loss_D_fake 0.019125
[587/5000][490/535][60420] Loss_D: -0.026661 Loss_G: 0.006651 Loss_D_real: -0.016358 Loss_D_fake 0.010303
[587/5000][495/535][60421] Loss_D: -0.024735 Loss_G: 0.029964 Loss_D_real: -0.018583 Loss_D_fake 0.006152
[587/5000][500/535][60422] Loss_D: -0.026138 Loss_G: 0.000435 Loss_D_real: -0.010410 Loss_D_fake 0.015728
[587/5000][505/535][60423] Loss_D: -0.026038 Loss_G: 0.029184 Loss_D_real: -0.029041 Loss_D_fake -0.003003
[587/5000][510/535][60424] Loss_D: -0.025218 Loss_G: 0.004548 Loss_D_real: -0.002419 Loss_D_fake 0.022799
[587/5000][515/535][60425] Loss_D: -0.026208 Loss_G: 0.035377 Loss_D_real: -0.022709 Loss_D_fake 0.003499
[587/5000][520/535][60426] Loss_D: -0.025509 Loss_G: -0.008074 Loss_D_real: -0.001979 Loss_D_fake 0.023530
[587/5000][525/535][60427] Loss_D: -0.025408 Loss_G: 0.029613 Loss_D_real: -0.014616 Loss_D_fake 0.010792
[587/5000][530/535][60428] Loss_D: -0.026080 Loss_G: 0.000564 Loss_D_real: -0.014203 Loss_D_fake 0.011877
[587/5000][535/535][60429] Loss_D: -0.024589 Loss_G: 0.016948 Loss_D_real: -0.012861 Loss_D_fake 0.011728
[588/5000][5/535][60430] Loss_D: -0.025344 Loss_G: 0.007886 Loss_D_real: -0.014115 Loss_D_fake 0.011229
[588/5000][10/535][60431] Loss_D: -0.024882 Loss_G: 0.010075 Loss_D_real: -0.014851 Loss_D_fake 0.010031
[588/5000][15/535][60432] Loss_D: -0.025042 Loss_G: -0.003626 Loss_D_real: -0.005003 Loss_D_fake 0.020039
[588/5000][20/535][60433] Loss_D: -0.024816 Loss_G: -0.001312 Loss_D_real: -0.014561 Loss_D_fake 0.010255
[588/5000][25/535][60434] Loss_D: -0.025022 Loss_G: 0.025712 Loss_D_real: -0.018691 Loss_D_fake 0.006330
[588/5000][30/535][60435] Loss_D: -0.024344 Loss_G: 0.000445 Loss_D_real: 0.002170 Loss_D_fake 0.026513
[588/5000][35/535][60436] Loss_D: -0.024909 Loss_G: 0.020033 Loss_D_real: -0.032029 Loss_D_fake -0.007120
[588/5000][40/535][60437] Loss_D: -0.026381 Loss_G: 0.013554 Loss_D_real: -0.014092 Loss_D_fake 0.012289
[588/5000][45/535][60438] Loss_D: -0.025090 Loss_G: 0.021703 Loss_D_real: -0.014942 Loss_D_fake 0.010148
[588/5000][50/535][60439] Loss_D: -0.025108 Loss_G: -0.003490 Loss_D_real: -0.007194 Loss_D_fake 0.017914
[588/5000][55/535][60440] Loss_D: -0.024769 Loss_G: -0.000996 Loss_D_real: -0.007564 Loss_D_fake 0.017205
[588/5000][60/535][60441] Loss_D: -0.024463 Loss_G: 0.029444 Loss_D_real: -0.022423 Loss_D_fake 0.002039
[588/5000][65/535][60442] Loss_D: -0.026034 Loss_G: 0.016839 Loss_D_real: -0.009123 Loss_D_fake 0.016911
[588/5000][70/535][60443] Loss_D: -0.025620 Loss_G: 0.028770 Loss_D_real: -0.026257 Loss_D_fake -0.000637
[588/5000][75/535][60444] Loss_D: -0.025779 Loss_G: 0.028978 Loss_D_real: -0.017969 Loss_D_fake 0.007810
[588/5000][80/535][60445] Loss_D: -0.025689 Loss_G: -0.001184 Loss_D_real: -0.004308 Loss_D_fake 0.021381
[588/5000][85/535][60446] Loss_D: -0.025098 Loss_G: 0.002772 Loss_D_real: -0.007873 Loss_D_fake 0.017225
[588/5000][90/535][60447] Loss_D: -0.024591 Loss_G: 0.023007 Loss_D_real: -0.021706 Loss_D_fake 0.002885
[588/5000][95/535][60448] Loss_D: -0.023959 Loss_G: -0.009680 Loss_D_real: 0.013373 Loss_D_fake 0.037332
[588/5000][100/535][60449] Loss_D: -0.023821 Loss_G: 0.024771 Loss_D_real: -0.025992 Loss_D_fake -0.002171
[588/5000][105/535][60450] Loss_D: -0.023836 Loss_G: 0.030196 Loss_D_real: -0.025846 Loss_D_fake -0.002011
[588/5000][110/535][60451] Loss_D: -0.025187 Loss_G: 0.017593 Loss_D_real: -0.011324 Loss_D_fake 0.013864
[588/5000][115/535][60452] Loss_D: -0.025342 Loss_G: 0.006497 Loss_D_real: -0.009830 Loss_D_fake 0.015512
[588/5000][120/535][60453] Loss_D: -0.025512 Loss_G: 0.012366 Loss_D_real: -0.006005 Loss_D_fake 0.019508
[588/5000][125/535][60454] Loss_D: -0.025867 Loss_G: -0.006161 Loss_D_real: 0.001861 Loss_D_fake 0.027728
[588/5000][130/535][60455] Loss_D: -0.023947 Loss_G: 0.023728 Loss_D_real: -0.027234 Loss_D_fake -0.003286
[588/5000][135/535][60456] Loss_D: -0.024400 Loss_G: 0.016773 Loss_D_real: -0.017019 Loss_D_fake 0.007381
[588/5000][140/535][60457] Loss_D: -0.025255 Loss_G: 0.012983 Loss_D_real: -0.017110 Loss_D_fake 0.008146
[588/5000][145/535][60458] Loss_D: -0.023097 Loss_G: 0.026429 Loss_D_real: -0.037486 Loss_D_fake -0.014390
[588/5000][150/535][60459] Loss_D: -0.025839 Loss_G: 0.003803 Loss_D_real: -0.001234 Loss_D_fake 0.024605
[588/5000][155/535][60460] Loss_D: -0.025615 Loss_G: 0.027042 Loss_D_real: -0.015434 Loss_D_fake 0.010181
[588/5000][160/535][60461] Loss_D: -0.024630 Loss_G: -0.001317 Loss_D_real: -0.012062 Loss_D_fake 0.012568
[588/5000][165/535][60462] Loss_D: -0.022657 Loss_G: 0.034108 Loss_D_real: -0.022639 Loss_D_fake 0.000018
[588/5000][170/535][60463] Loss_D: -0.024776 Loss_G: -0.008066 Loss_D_real: 0.005420 Loss_D_fake 0.030196
[588/5000][175/535][60464] Loss_D: -0.023441 Loss_G: 0.026671 Loss_D_real: -0.020204 Loss_D_fake 0.003237
[588/5000][180/535][60465] Loss_D: -0.025078 Loss_G: 0.002932 Loss_D_real: -0.000325 Loss_D_fake 0.024753
[588/5000][185/535][60466] Loss_D: -0.024910 Loss_G: 0.019504 Loss_D_real: -0.010274 Loss_D_fake 0.014636
[588/5000][190/535][60467] Loss_D: -0.026158 Loss_G: 0.007543 Loss_D_real: -0.000993 Loss_D_fake 0.025165
[588/5000][195/535][60468] Loss_D: -0.024872 Loss_G: 0.004240 Loss_D_real: -0.007878 Loss_D_fake 0.016993
[588/5000][200/535][60469] Loss_D: -0.025379 Loss_G: 0.011384 Loss_D_real: -0.011336 Loss_D_fake 0.014043
[588/5000][205/535][60470] Loss_D: -0.026901 Loss_G: 0.003749 Loss_D_real: -0.015776 Loss_D_fake 0.011124
[588/5000][210/535][60471] Loss_D: -0.024517 Loss_G: -0.002909 Loss_D_real: 0.007314 Loss_D_fake 0.031832
[588/5000][215/535][60472] Loss_D: -0.025641 Loss_G: 0.008448 Loss_D_real: -0.020826 Loss_D_fake 0.004815
[588/5000][220/535][60473] Loss_D: -0.025407 Loss_G: 0.006346 Loss_D_real: -0.015112 Loss_D_fake 0.010295
[588/5000][225/535][60474] Loss_D: -0.023227 Loss_G: -0.006054 Loss_D_real: 0.001139 Loss_D_fake 0.024366
[588/5000][230/535][60475] Loss_D: -0.025179 Loss_G: 0.004895 Loss_D_real: 0.006954 Loss_D_fake 0.032133
[588/5000][235/535][60476] Loss_D: -0.026507 Loss_G: 0.015655 Loss_D_real: -0.007774 Loss_D_fake 0.018733
[588/5000][240/535][60477] Loss_D: -0.026532 Loss_G: 0.011141 Loss_D_real: -0.013343 Loss_D_fake 0.013189
[588/5000][245/535][60478] Loss_D: -0.026752 Loss_G: 0.024209 Loss_D_real: -0.008616 Loss_D_fake 0.018135
[588/5000][250/535][60479] Loss_D: -0.023949 Loss_G: -0.015425 Loss_D_real: 0.009153 Loss_D_fake 0.033102
[588/5000][255/535][60480] Loss_D: -0.025976 Loss_G: 0.015774 Loss_D_real: -0.005565 Loss_D_fake 0.020411
[588/5000][260/535][60481] Loss_D: -0.023998 Loss_G: 0.018877 Loss_D_real: -0.006964 Loss_D_fake 0.017034
[588/5000][265/535][60482] Loss_D: -0.024450 Loss_G: -0.006576 Loss_D_real: 0.005855 Loss_D_fake 0.030304
[588/5000][270/535][60483] Loss_D: -0.024906 Loss_G: 0.016043 Loss_D_real: -0.017698 Loss_D_fake 0.007208
[588/5000][275/535][60484] Loss_D: -0.025093 Loss_G: 0.004895 Loss_D_real: -0.008700 Loss_D_fake 0.016393
[588/5000][280/535][60485] Loss_D: -0.025004 Loss_G: 0.015860 Loss_D_real: -0.016798 Loss_D_fake 0.008206
[588/5000][285/535][60486] Loss_D: -0.025612 Loss_G: 0.018348 Loss_D_real: -0.019835 Loss_D_fake 0.005777
[588/5000][290/535][60487] Loss_D: -0.023922 Loss_G: -0.004987 Loss_D_real: 0.000083 Loss_D_fake 0.024005
[588/5000][295/535][60488] Loss_D: -0.025148 Loss_G: 0.025488 Loss_D_real: -0.024204 Loss_D_fake 0.000943
[588/5000][300/535][60489] Loss_D: -0.024786 Loss_G: 0.018500 Loss_D_real: 0.000656 Loss_D_fake 0.025442
[588/5000][305/535][60490] Loss_D: -0.026205 Loss_G: 0.007928 Loss_D_real: -0.013608 Loss_D_fake 0.012598
[588/5000][310/535][60491] Loss_D: -0.025394 Loss_G: 0.013190 Loss_D_real: -0.011410 Loss_D_fake 0.013984
[588/5000][315/535][60492] Loss_D: -0.025722 Loss_G: 0.032836 Loss_D_real: -0.033943 Loss_D_fake -0.008221
[588/5000][320/535][60493] Loss_D: -0.025708 Loss_G: 0.013992 Loss_D_real: -0.007942 Loss_D_fake 0.017766
[588/5000][325/535][60494] Loss_D: -0.024660 Loss_G: 0.005888 Loss_D_real: -0.009245 Loss_D_fake 0.015415
[588/5000][330/535][60495] Loss_D: -0.023875 Loss_G: 0.023146 Loss_D_real: -0.017786 Loss_D_fake 0.006089
[588/5000][335/535][60496] Loss_D: -0.023148 Loss_G: 0.031559 Loss_D_real: -0.026266 Loss_D_fake -0.003118
[588/5000][340/535][60497] Loss_D: -0.023383 Loss_G: -0.013250 Loss_D_real: 0.007374 Loss_D_fake 0.030757
[588/5000][345/535][60498] Loss_D: -0.025449 Loss_G: 0.002354 Loss_D_real: -0.006437 Loss_D_fake 0.019012
[588/5000][350/535][60499] Loss_D: -0.025110 Loss_G: 0.028677 Loss_D_real: -0.027033 Loss_D_fake -0.001923
[588/5000][355/535][60500] Loss_D: -0.024879 Loss_G: 0.011919 Loss_D_real: -0.007347 Loss_D_fake 0.017532
[588/5000][455/535][60501] Loss_D: -0.028160 Loss_G: 0.000359 Loss_D_real: -0.010932 Loss_D_fake 0.017229
[588/5000][460/535][60502] Loss_D: -0.023849 Loss_G: 0.015756 Loss_D_real: -0.005980 Loss_D_fake 0.017869
[588/5000][465/535][60503] Loss_D: -0.022449 Loss_G: -0.004148 Loss_D_real: 0.002807 Loss_D_fake 0.025256
[588/5000][470/535][60504] Loss_D: -0.023774 Loss_G: 0.001667 Loss_D_real: -0.003134 Loss_D_fake 0.020640
[588/5000][475/535][60505] Loss_D: -0.024297 Loss_G: 0.023902 Loss_D_real: -0.016893 Loss_D_fake 0.007404
[588/5000][480/535][60506] Loss_D: -0.023012 Loss_G: 0.013996 Loss_D_real: -0.017311 Loss_D_fake 0.005701
[588/5000][485/535][60507] Loss_D: -0.024575 Loss_G: 0.002133 Loss_D_real: -0.011454 Loss_D_fake 0.013121
[588/5000][490/535][60508] Loss_D: -0.023314 Loss_G: 0.020875 Loss_D_real: -0.031470 Loss_D_fake -0.008156
[588/5000][495/535][60509] Loss_D: -0.024336 Loss_G: 0.012636 Loss_D_real: -0.010492 Loss_D_fake 0.013844
[588/5000][500/535][60510] Loss_D: -0.025079 Loss_G: 0.014136 Loss_D_real: -0.019663 Loss_D_fake 0.005416
[588/5000][505/535][60511] Loss_D: -0.022832 Loss_G: 0.027761 Loss_D_real: -0.031178 Loss_D_fake -0.008345
[588/5000][510/535][60512] Loss_D: -0.025763 Loss_G: 0.002090 Loss_D_real: -0.003021 Loss_D_fake 0.022741
[588/5000][515/535][60513] Loss_D: -0.024596 Loss_G: 0.002769 Loss_D_real: -0.011060 Loss_D_fake 0.013535
[588/5000][520/535][60514] Loss_D: -0.024639 Loss_G: 0.027647 Loss_D_real: -0.027646 Loss_D_fake -0.003007
[588/5000][525/535][60515] Loss_D: -0.027314 Loss_G: 0.010884 Loss_D_real: -0.012104 Loss_D_fake 0.015210
[588/5000][530/535][60516] Loss_D: -0.026119 Loss_G: 0.013027 Loss_D_real: -0.005895 Loss_D_fake 0.020224
[588/5000][535/535][60517] Loss_D: -0.023427 Loss_G: 0.023592 Loss_D_real: -0.023935 Loss_D_fake -0.000508
[589/5000][5/535][60518] Loss_D: -0.024988 Loss_G: 0.013471 Loss_D_real: -0.006634 Loss_D_fake 0.018354
[589/5000][10/535][60519] Loss_D: -0.023098 Loss_G: -0.013997 Loss_D_real: 0.012569 Loss_D_fake 0.035668
[589/5000][15/535][60520] Loss_D: -0.023007 Loss_G: 0.006489 Loss_D_real: -0.004138 Loss_D_fake 0.018869
[589/5000][20/535][60521] Loss_D: -0.025079 Loss_G: 0.016276 Loss_D_real: -0.023563 Loss_D_fake 0.001516
[589/5000][25/535][60522] Loss_D: -0.023348 Loss_G: -0.000415 Loss_D_real: -0.007045 Loss_D_fake 0.016303
[589/5000][30/535][60523] Loss_D: -0.024872 Loss_G: 0.007708 Loss_D_real: -0.005558 Loss_D_fake 0.019314
[589/5000][35/535][60524] Loss_D: -0.025050 Loss_G: 0.006272 Loss_D_real: -0.015150 Loss_D_fake 0.009900
[589/5000][40/535][60525] Loss_D: -0.027307 Loss_G: 0.019270 Loss_D_real: -0.011818 Loss_D_fake 0.015488
[589/5000][45/535][60526] Loss_D: -0.025045 Loss_G: 0.011432 Loss_D_real: -0.015971 Loss_D_fake 0.009074
[589/5000][50/535][60527] Loss_D: -0.025159 Loss_G: -0.001620 Loss_D_real: -0.000257 Loss_D_fake 0.024902
[589/5000][55/535][60528] Loss_D: -0.025244 Loss_G: 0.028186 Loss_D_real: -0.018909 Loss_D_fake 0.006335
[589/5000][60/535][60529] Loss_D: -0.025991 Loss_G: 0.008549 Loss_D_real: -0.013321 Loss_D_fake 0.012669
[589/5000][65/535][60530] Loss_D: -0.025712 Loss_G: 0.018700 Loss_D_real: -0.015393 Loss_D_fake 0.010319
[589/5000][70/535][60531] Loss_D: -0.025952 Loss_G: 0.017346 Loss_D_real: -0.017654 Loss_D_fake 0.008298
[589/5000][75/535][60532] Loss_D: -0.025288 Loss_G: -0.004037 Loss_D_real: -0.019710 Loss_D_fake 0.005578
[589/5000][80/535][60533] Loss_D: -0.024838 Loss_G: 0.027043 Loss_D_real: -0.030544 Loss_D_fake -0.005706
[589/5000][85/535][60534] Loss_D: -0.025717 Loss_G: 0.029786 Loss_D_real: -0.018087 Loss_D_fake 0.007630
[589/5000][90/535][60535] Loss_D: -0.025396 Loss_G: 0.006209 Loss_D_real: -0.007553 Loss_D_fake 0.017843
[589/5000][95/535][60536] Loss_D: -0.025114 Loss_G: 0.024523 Loss_D_real: -0.030419 Loss_D_fake -0.005305
[589/5000][100/535][60537] Loss_D: -0.025236 Loss_G: 0.014705 Loss_D_real: -0.016845 Loss_D_fake 0.008391
[589/5000][105/535][60538] Loss_D: -0.025588 Loss_G: 0.006569 Loss_D_real: -0.012633 Loss_D_fake 0.012955
[589/5000][110/535][60539] Loss_D: -0.025644 Loss_G: 0.012921 Loss_D_real: -0.020952 Loss_D_fake 0.004691
[589/5000][115/535][60540] Loss_D: -0.025059 Loss_G: 0.010888 Loss_D_real: -0.017390 Loss_D_fake 0.007669
[589/5000][120/535][60541] Loss_D: -0.025453 Loss_G: 0.029414 Loss_D_real: -0.015159 Loss_D_fake 0.010294
[589/5000][125/535][60542] Loss_D: -0.025075 Loss_G: 0.009100 Loss_D_real: -0.013336 Loss_D_fake 0.011739
[589/5000][130/535][60543] Loss_D: -0.023838 Loss_G: 0.039934 Loss_D_real: -0.029990 Loss_D_fake -0.006152
[589/5000][135/535][60544] Loss_D: -0.024315 Loss_G: -0.011722 Loss_D_real: -0.000519 Loss_D_fake 0.023796
[589/5000][140/535][60545] Loss_D: -0.024746 Loss_G: 0.021879 Loss_D_real: -0.020163 Loss_D_fake 0.004583
[589/5000][145/535][60546] Loss_D: -0.024212 Loss_G: 0.002212 Loss_D_real: -0.000713 Loss_D_fake 0.023499
[589/5000][150/535][60547] Loss_D: -0.024159 Loss_G: -0.005185 Loss_D_real: -0.011148 Loss_D_fake 0.013012
[589/5000][155/535][60548] Loss_D: -0.025303 Loss_G: 0.024698 Loss_D_real: -0.012254 Loss_D_fake 0.013049
[589/5000][160/535][60549] Loss_D: -0.024584 Loss_G: 0.026766 Loss_D_real: -0.014991 Loss_D_fake 0.009593
[589/5000][165/535][60550] Loss_D: -0.024674 Loss_G: -0.002503 Loss_D_real: -0.003142 Loss_D_fake 0.021531
[589/5000][170/535][60551] Loss_D: -0.024504 Loss_G: 0.009995 Loss_D_real: -0.012031 Loss_D_fake 0.012473
[589/5000][175/535][60552] Loss_D: -0.023441 Loss_G: 0.034230 Loss_D_real: -0.032802 Loss_D_fake -0.009361
[589/5000][180/535][60553] Loss_D: -0.025539 Loss_G: 0.010097 Loss_D_real: -0.010874 Loss_D_fake 0.014665
[589/5000][185/535][60554] Loss_D: -0.023694 Loss_G: 0.026728 Loss_D_real: -0.032462 Loss_D_fake -0.008767
[589/5000][190/535][60555] Loss_D: -0.027378 Loss_G: 0.023167 Loss_D_real: -0.024712 Loss_D_fake 0.002666
[589/5000][195/535][60556] Loss_D: -0.025236 Loss_G: 0.024028 Loss_D_real: -0.019448 Loss_D_fake 0.005789
[589/5000][200/535][60557] Loss_D: -0.024475 Loss_G: 0.022425 Loss_D_real: -0.028512 Loss_D_fake -0.004038
[589/5000][205/535][60558] Loss_D: -0.025939 Loss_G: 0.024123 Loss_D_real: -0.018794 Loss_D_fake 0.007145
[589/5000][210/535][60559] Loss_D: -0.024359 Loss_G: 0.023257 Loss_D_real: -0.023400 Loss_D_fake 0.000959
[589/5000][215/535][60560] Loss_D: -0.025222 Loss_G: 0.024963 Loss_D_real: -0.034578 Loss_D_fake -0.009356
[589/5000][220/535][60561] Loss_D: -0.026192 Loss_G: 0.018105 Loss_D_real: -0.023243 Loss_D_fake 0.002949
[589/5000][225/535][60562] Loss_D: -0.026129 Loss_G: 0.020632 Loss_D_real: -0.022733 Loss_D_fake 0.003396
[589/5000][230/535][60563] Loss_D: -0.024598 Loss_G: 0.023338 Loss_D_real: -0.023285 Loss_D_fake 0.001314
[589/5000][235/535][60564] Loss_D: -0.023708 Loss_G: -0.020014 Loss_D_real: 0.013412 Loss_D_fake 0.037120
[589/5000][240/535][60565] Loss_D: -0.023553 Loss_G: 0.014818 Loss_D_real: -0.007476 Loss_D_fake 0.016077
[589/5000][245/535][60566] Loss_D: -0.025804 Loss_G: 0.003686 Loss_D_real: -0.009452 Loss_D_fake 0.016352
[589/5000][250/535][60567] Loss_D: -0.024354 Loss_G: 0.017786 Loss_D_real: -0.018895 Loss_D_fake 0.005459
[589/5000][255/535][60568] Loss_D: -0.025032 Loss_G: 0.014649 Loss_D_real: -0.001868 Loss_D_fake 0.023165
[589/5000][260/535][60569] Loss_D: -0.026364 Loss_G: 0.016986 Loss_D_real: -0.020170 Loss_D_fake 0.006194
[589/5000][265/535][60570] Loss_D: -0.025809 Loss_G: -0.005994 Loss_D_real: -0.007788 Loss_D_fake 0.018021
[589/5000][270/535][60571] Loss_D: -0.024840 Loss_G: -0.006432 Loss_D_real: -0.008866 Loss_D_fake 0.015973
[589/5000][275/535][60572] Loss_D: -0.026003 Loss_G: 0.018067 Loss_D_real: -0.023142 Loss_D_fake 0.002861
[589/5000][280/535][60573] Loss_D: -0.026316 Loss_G: 0.029209 Loss_D_real: -0.022887 Loss_D_fake 0.003429
[589/5000][285/535][60574] Loss_D: -0.024790 Loss_G: -0.000262 Loss_D_real: -0.004394 Loss_D_fake 0.020397
[589/5000][290/535][60575] Loss_D: -0.024778 Loss_G: 0.022014 Loss_D_real: -0.018195 Loss_D_fake 0.006583
[589/5000][295/535][60576] Loss_D: -0.024779 Loss_G: 0.007675 Loss_D_real: -0.022823 Loss_D_fake 0.001957
[589/5000][300/535][60577] Loss_D: -0.025121 Loss_G: 0.004889 Loss_D_real: -0.018088 Loss_D_fake 0.007034
[589/5000][305/535][60578] Loss_D: -0.025487 Loss_G: 0.012889 Loss_D_real: -0.002875 Loss_D_fake 0.022612
[589/5000][310/535][60579] Loss_D: -0.025048 Loss_G: 0.026380 Loss_D_real: -0.018828 Loss_D_fake 0.006220
[589/5000][315/535][60580] Loss_D: -0.025700 Loss_G: 0.003996 Loss_D_real: -0.013483 Loss_D_fake 0.012216
[589/5000][320/535][60581] Loss_D: -0.024352 Loss_G: 0.014669 Loss_D_real: -0.027415 Loss_D_fake -0.003063
[589/5000][325/535][60582] Loss_D: -0.025786 Loss_G: 0.013090 Loss_D_real: -0.005894 Loss_D_fake 0.019891
[589/5000][330/535][60583] Loss_D: -0.023203 Loss_G: 0.029971 Loss_D_real: -0.033796 Loss_D_fake -0.010593
[589/5000][335/535][60584] Loss_D: -0.024263 Loss_G: 0.012774 Loss_D_real: -0.005677 Loss_D_fake 0.018586
[589/5000][340/535][60585] Loss_D: -0.025600 Loss_G: 0.007113 Loss_D_real: -0.009468 Loss_D_fake 0.016132
[589/5000][345/535][60586] Loss_D: -0.025376 Loss_G: 0.026589 Loss_D_real: -0.025624 Loss_D_fake -0.000247
[589/5000][350/535][60587] Loss_D: -0.025743 Loss_G: 0.001826 Loss_D_real: -0.016136 Loss_D_fake 0.009607
[589/5000][355/535][60588] Loss_D: -0.026430 Loss_G: 0.015247 Loss_D_real: -0.007675 Loss_D_fake 0.018755
[589/5000][360/535][60589] Loss_D: -0.026043 Loss_G: 0.019521 Loss_D_real: -0.009004 Loss_D_fake 0.017039
[589/5000][365/535][60590] Loss_D: -0.025669 Loss_G: 0.014516 Loss_D_real: -0.010910 Loss_D_fake 0.014758
[589/5000][370/535][60591] Loss_D: -0.024582 Loss_G: -0.002956 Loss_D_real: 0.002699 Loss_D_fake 0.027281
[589/5000][375/535][60592] Loss_D: -0.026810 Loss_G: 0.015123 Loss_D_real: -0.020945 Loss_D_fake 0.005865
[589/5000][380/535][60593] Loss_D: -0.025352 Loss_G: 0.037197 Loss_D_real: -0.029907 Loss_D_fake -0.004555
[589/5000][385/535][60594] Loss_D: -0.024625 Loss_G: 0.012388 Loss_D_real: -0.017433 Loss_D_fake 0.007192
[589/5000][390/535][60595] Loss_D: -0.025665 Loss_G: -0.017188 Loss_D_real: 0.004808 Loss_D_fake 0.030474
[589/5000][395/535][60596] Loss_D: -0.025880 Loss_G: 0.029199 Loss_D_real: -0.022343 Loss_D_fake 0.003537
[589/5000][400/535][60597] Loss_D: -0.024941 Loss_G: 0.011319 Loss_D_real: -0.013792 Loss_D_fake 0.011149
[589/5000][405/535][60598] Loss_D: -0.026018 Loss_G: -0.001091 Loss_D_real: -0.012692 Loss_D_fake 0.013325
[589/5000][410/535][60599] Loss_D: -0.023059 Loss_G: 0.021400 Loss_D_real: -0.023509 Loss_D_fake -0.000450
[589/5000][415/535][60600] Loss_D: -0.024407 Loss_G: -0.000437 Loss_D_real: 0.006547 Loss_D_fake 0.030953
[589/5000][420/535][60601] Loss_D: -0.025065 Loss_G: 0.018204 Loss_D_real: -0.017384 Loss_D_fake 0.007681
[589/5000][425/535][60602] Loss_D: -0.023287 Loss_G: -0.004570 Loss_D_real: 0.002402 Loss_D_fake 0.025689
[589/5000][430/535][60603] Loss_D: -0.023666 Loss_G: 0.012900 Loss_D_real: -0.014765 Loss_D_fake 0.008901
[589/5000][435/535][60604] Loss_D: -0.024178 Loss_G: -0.007013 Loss_D_real: 0.006242 Loss_D_fake 0.030420
[589/5000][440/535][60605] Loss_D: -0.023756 Loss_G: 0.025933 Loss_D_real: -0.020302 Loss_D_fake 0.003455
[589/5000][445/535][60606] Loss_D: -0.026105 Loss_G: 0.010714 Loss_D_real: -0.003498 Loss_D_fake 0.022607
[589/5000][450/535][60607] Loss_D: -0.024185 Loss_G: 0.019397 Loss_D_real: -0.029810 Loss_D_fake -0.005625
[589/5000][455/535][60608] Loss_D: -0.025342 Loss_G: 0.001957 Loss_D_real: -0.006978 Loss_D_fake 0.018363
[589/5000][460/535][60609] Loss_D: -0.025648 Loss_G: 0.018842 Loss_D_real: -0.020917 Loss_D_fake 0.004731
[589/5000][465/535][60610] Loss_D: -0.024070 Loss_G: -0.002773 Loss_D_real: -0.007652 Loss_D_fake 0.016418
[589/5000][470/535][60611] Loss_D: -0.024533 Loss_G: 0.016243 Loss_D_real: -0.015478 Loss_D_fake 0.009055
[589/5000][475/535][60612] Loss_D: -0.023881 Loss_G: 0.032695 Loss_D_real: -0.020567 Loss_D_fake 0.003314
[589/5000][480/535][60613] Loss_D: -0.024342 Loss_G: 0.029434 Loss_D_real: -0.031276 Loss_D_fake -0.006935
[589/5000][485/535][60614] Loss_D: -0.025051 Loss_G: 0.012637 Loss_D_real: -0.015915 Loss_D_fake 0.009136
[589/5000][490/535][60615] Loss_D: -0.024534 Loss_G: 0.038917 Loss_D_real: -0.031965 Loss_D_fake -0.007431
[589/5000][495/535][60616] Loss_D: -0.025943 Loss_G: 0.003993 Loss_D_real: -0.008693 Loss_D_fake 0.017250
[589/5000][500/535][60617] Loss_D: -0.024052 Loss_G: 0.037048 Loss_D_real: -0.026028 Loss_D_fake -0.001976
[589/5000][505/535][60618] Loss_D: -0.025530 Loss_G: -0.003593 Loss_D_real: -0.005649 Loss_D_fake 0.019882
[589/5000][510/535][60619] Loss_D: -0.025321 Loss_G: 0.016402 Loss_D_real: -0.017311 Loss_D_fake 0.008010
[589/5000][515/535][60620] Loss_D: -0.025537 Loss_G: 0.015467 Loss_D_real: -0.014585 Loss_D_fake 0.010952
[589/5000][520/535][60621] Loss_D: -0.026029 Loss_G: 0.009060 Loss_D_real: -0.009090 Loss_D_fake 0.016939
[589/5000][525/535][60622] Loss_D: -0.026923 Loss_G: 0.012437 Loss_D_real: -0.026400 Loss_D_fake 0.000523
[589/5000][530/535][60623] Loss_D: -0.025459 Loss_G: 0.023475 Loss_D_real: -0.030153 Loss_D_fake -0.004694
[589/5000][535/535][60624] Loss_D: -0.029381 Loss_G: 0.049937 Loss_D_real: -0.029528 Loss_D_fake -0.000146
[590/5000][5/535][60625] Loss_D: -0.025078 Loss_G: 0.022492 Loss_D_real: -0.009181 Loss_D_fake 0.015897
[590/5000][10/535][60626] Loss_D: -0.024198 Loss_G: 0.012722 Loss_D_real: -0.027365 Loss_D_fake -0.003167
[590/5000][15/535][60627] Loss_D: -0.025799 Loss_G: -0.008861 Loss_D_real: -0.003478 Loss_D_fake 0.022321
[590/5000][20/535][60628] Loss_D: -0.024389 Loss_G: 0.016535 Loss_D_real: -0.018257 Loss_D_fake 0.006132
[590/5000][25/535][60629] Loss_D: -0.025806 Loss_G: 0.016542 Loss_D_real: -0.020132 Loss_D_fake 0.005675
[590/5000][30/535][60630] Loss_D: -0.025957 Loss_G: -0.000400 Loss_D_real: 0.000482 Loss_D_fake 0.026439
[590/5000][35/535][60631] Loss_D: -0.024253 Loss_G: 0.028657 Loss_D_real: -0.023374 Loss_D_fake 0.000879
[590/5000][40/535][60632] Loss_D: -0.025456 Loss_G: 0.032107 Loss_D_real: -0.025019 Loss_D_fake 0.000438
[590/5000][45/535][60633] Loss_D: -0.026127 Loss_G: 0.016301 Loss_D_real: -0.001164 Loss_D_fake 0.024963
[590/5000][50/535][60634] Loss_D: -0.025578 Loss_G: 0.009105 Loss_D_real: -0.002354 Loss_D_fake 0.023225
[590/5000][55/535][60635] Loss_D: -0.026903 Loss_G: 0.024434 Loss_D_real: -0.024627 Loss_D_fake 0.002276
[590/5000][60/535][60636] Loss_D: -0.025164 Loss_G: -0.001069 Loss_D_real: 0.007854 Loss_D_fake 0.033019
[590/5000][65/535][60637] Loss_D: -0.025103 Loss_G: 0.028559 Loss_D_real: -0.023348 Loss_D_fake 0.001755
[590/5000][70/535][60638] Loss_D: -0.025428 Loss_G: 0.018572 Loss_D_real: -0.015690 Loss_D_fake 0.009738
[590/5000][75/535][60639] Loss_D: -0.026310 Loss_G: 0.013375 Loss_D_real: -0.028708 Loss_D_fake -0.002398
[590/5000][80/535][60640] Loss_D: -0.026370 Loss_G: 0.018525 Loss_D_real: -0.017121 Loss_D_fake 0.009249
[590/5000][85/535][60641] Loss_D: -0.023979 Loss_G: 0.034327 Loss_D_real: -0.027452 Loss_D_fake -0.003473
[590/5000][90/535][60642] Loss_D: -0.024888 Loss_G: -0.015635 Loss_D_real: -0.001836 Loss_D_fake 0.023052
[590/5000][95/535][60643] Loss_D: -0.024462 Loss_G: 0.035844 Loss_D_real: -0.028014 Loss_D_fake -0.003553
[590/5000][100/535][60644] Loss_D: -0.026571 Loss_G: 0.017663 Loss_D_real: -0.014090 Loss_D_fake 0.012481
[590/5000][105/535][60645] Loss_D: -0.025459 Loss_G: 0.016239 Loss_D_real: -0.022820 Loss_D_fake 0.002639
[590/5000][110/535][60646] Loss_D: -0.024882 Loss_G: 0.025174 Loss_D_real: -0.018222 Loss_D_fake 0.006660
[590/5000][115/535][60647] Loss_D: -0.026233 Loss_G: 0.015302 Loss_D_real: -0.015739 Loss_D_fake 0.010494
[590/5000][120/535][60648] Loss_D: -0.025157 Loss_G: 0.016186 Loss_D_real: -0.013780 Loss_D_fake 0.011377
[590/5000][125/535][60649] Loss_D: -0.023938 Loss_G: -0.001008 Loss_D_real: -0.001583 Loss_D_fake 0.022355
[590/5000][130/535][60650] Loss_D: -0.025700 Loss_G: 0.025816 Loss_D_real: -0.020716 Loss_D_fake 0.004984
[590/5000][135/535][60651] Loss_D: -0.024953 Loss_G: -0.006782 Loss_D_real: -0.003403 Loss_D_fake 0.021550
[590/5000][140/535][60652] Loss_D: -0.024884 Loss_G: 0.022223 Loss_D_real: -0.029030 Loss_D_fake -0.004146
[590/5000][145/535][60653] Loss_D: -0.024643 Loss_G: 0.020223 Loss_D_real: -0.016638 Loss_D_fake 0.008005
[590/5000][150/535][60654] Loss_D: -0.024440 Loss_G: -0.004719 Loss_D_real: 0.001513 Loss_D_fake 0.025954
[590/5000][155/535][60655] Loss_D: -0.024942 Loss_G: 0.023627 Loss_D_real: -0.023489 Loss_D_fake 0.001452
[590/5000][160/535][60656] Loss_D: -0.023681 Loss_G: 0.029531 Loss_D_real: -0.026827 Loss_D_fake -0.003146
[590/5000][165/535][60657] Loss_D: -0.024361 Loss_G: 0.021480 Loss_D_real: -0.017888 Loss_D_fake 0.006473
[590/5000][170/535][60658] Loss_D: -0.025257 Loss_G: 0.004729 Loss_D_real: 0.000142 Loss_D_fake 0.025399
[590/5000][175/535][60659] Loss_D: -0.024508 Loss_G: 0.028006 Loss_D_real: -0.032591 Loss_D_fake -0.008083
[590/5000][180/535][60660] Loss_D: -0.025226 Loss_G: -0.006068 Loss_D_real: 0.007909 Loss_D_fake 0.033136
[590/5000][185/535][60661] Loss_D: -0.025311 Loss_G: 0.009325 Loss_D_real: -0.013136 Loss_D_fake 0.012175
[590/5000][190/535][60662] Loss_D: -0.025182 Loss_G: 0.018647 Loss_D_real: -0.010965 Loss_D_fake 0.014217
[590/5000][195/535][60663] Loss_D: -0.025814 Loss_G: 0.012038 Loss_D_real: -0.011368 Loss_D_fake 0.014446
[590/5000][200/535][60664] Loss_D: -0.026552 Loss_G: 0.013172 Loss_D_real: -0.001052 Loss_D_fake 0.025500
[590/5000][205/535][60665] Loss_D: -0.026741 Loss_G: -0.005800 Loss_D_real: -0.002518 Loss_D_fake 0.024223
[590/5000][210/535][60666] Loss_D: -0.025741 Loss_G: 0.004731 Loss_D_real: -0.003182 Loss_D_fake 0.022559
[590/5000][215/535][60667] Loss_D: -0.025432 Loss_G: 0.026267 Loss_D_real: -0.015956 Loss_D_fake 0.009476
[590/5000][220/535][60668] Loss_D: -0.025445 Loss_G: 0.012303 Loss_D_real: -0.012199 Loss_D_fake 0.013247
[590/5000][225/535][60669] Loss_D: -0.025953 Loss_G: 0.023985 Loss_D_real: -0.015613 Loss_D_fake 0.010340
[590/5000][230/535][60670] Loss_D: -0.024815 Loss_G: 0.024122 Loss_D_real: -0.020833 Loss_D_fake 0.003983
[590/5000][235/535][60671] Loss_D: -0.025543 Loss_G: 0.007024 Loss_D_real: -0.015919 Loss_D_fake 0.009625
[590/5000][240/535][60672] Loss_D: -0.027271 Loss_G: 0.037940 Loss_D_real: -0.019581 Loss_D_fake 0.007690
[590/5000][245/535][60673] Loss_D: -0.026023 Loss_G: 0.014984 Loss_D_real: -0.028625 Loss_D_fake -0.002601
[590/5000][250/535][60674] Loss_D: -0.025565 Loss_G: 0.010882 Loss_D_real: -0.019648 Loss_D_fake 0.005917
[590/5000][255/535][60675] Loss_D: -0.023459 Loss_G: 0.032619 Loss_D_real: -0.024280 Loss_D_fake -0.000820
[590/5000][260/535][60676] Loss_D: -0.024490 Loss_G: 0.024960 Loss_D_real: -0.028020 Loss_D_fake -0.003531
[590/5000][265/535][60677] Loss_D: -0.023760 Loss_G: 0.007889 Loss_D_real: -0.002264 Loss_D_fake 0.021495
[590/5000][270/535][60678] Loss_D: -0.023823 Loss_G: 0.020496 Loss_D_real: -0.028434 Loss_D_fake -0.004610
[590/5000][275/535][60679] Loss_D: -0.024915 Loss_G: 0.021098 Loss_D_real: -0.030496 Loss_D_fake -0.005581
[590/5000][280/535][60680] Loss_D: -0.024687 Loss_G: 0.006931 Loss_D_real: -0.008111 Loss_D_fake 0.016576
[590/5000][285/535][60681] Loss_D: -0.024353 Loss_G: 0.000553 Loss_D_real: -0.002546 Loss_D_fake 0.021807
[590/5000][290/535][60682] Loss_D: -0.025670 Loss_G: 0.005474 Loss_D_real: -0.015374 Loss_D_fake 0.010296
[590/5000][295/535][60683] Loss_D: -0.023743 Loss_G: -0.009523 Loss_D_real: 0.004376 Loss_D_fake 0.028118
[590/5000][300/535][60684] Loss_D: -0.025240 Loss_G: 0.031517 Loss_D_real: -0.025127 Loss_D_fake 0.000113
[590/5000][305/535][60685] Loss_D: -0.023930 Loss_G: -0.000635 Loss_D_real: 0.002799 Loss_D_fake 0.026729
[590/5000][310/535][60686] Loss_D: -0.024698 Loss_G: 0.014903 Loss_D_real: -0.022253 Loss_D_fake 0.002446
[590/5000][315/535][60687] Loss_D: -0.025208 Loss_G: 0.010572 Loss_D_real: -0.013392 Loss_D_fake 0.011816
[590/5000][320/535][60688] Loss_D: -0.024708 Loss_G: 0.022904 Loss_D_real: -0.023047 Loss_D_fake 0.001660
[590/5000][325/535][60689] Loss_D: -0.024706 Loss_G: 0.033446 Loss_D_real: -0.029276 Loss_D_fake -0.004570
[590/5000][330/535][60690] Loss_D: -0.025469 Loss_G: 0.002708 Loss_D_real: -0.013390 Loss_D_fake 0.012079
[590/5000][335/535][60691] Loss_D: -0.025638 Loss_G: 0.007210 Loss_D_real: 0.000372 Loss_D_fake 0.026009
[590/5000][340/535][60692] Loss_D: -0.024877 Loss_G: 0.010411 Loss_D_real: -0.014138 Loss_D_fake 0.010739
[590/5000][345/535][60693] Loss_D: -0.024023 Loss_G: 0.007725 Loss_D_real: -0.011728 Loss_D_fake 0.012296
[590/5000][350/535][60694] Loss_D: -0.023658 Loss_G: 0.017025 Loss_D_real: -0.028146 Loss_D_fake -0.004488
[590/5000][355/535][60695] Loss_D: -0.024396 Loss_G: 0.027191 Loss_D_real: -0.030800 Loss_D_fake -0.006403
[590/5000][360/535][60696] Loss_D: -0.024687 Loss_G: 0.017083 Loss_D_real: -0.019880 Loss_D_fake 0.004807
[590/5000][365/535][60697] Loss_D: -0.026049 Loss_G: 0.003816 Loss_D_real: -0.007850 Loss_D_fake 0.018199
[590/5000][370/535][60698] Loss_D: -0.024565 Loss_G: 0.015526 Loss_D_real: -0.013542 Loss_D_fake 0.011023
[590/5000][375/535][60699] Loss_D: -0.024305 Loss_G: 0.030152 Loss_D_real: -0.028709 Loss_D_fake -0.004405
[590/5000][380/535][60700] Loss_D: -0.025427 Loss_G: 0.022012 Loss_D_real: -0.021310 Loss_D_fake 0.004117
[590/5000][385/535][60701] Loss_D: -0.025312 Loss_G: 0.013548 Loss_D_real: -0.011497 Loss_D_fake 0.013815
[590/5000][390/535][60702] Loss_D: -0.025559 Loss_G: 0.001419 Loss_D_real: -0.007640 Loss_D_fake 0.017919
[590/5000][395/535][60703] Loss_D: -0.024798 Loss_G: 0.024985 Loss_D_real: -0.029786 Loss_D_fake -0.004988
[590/5000][400/535][60704] Loss_D: -0.025289 Loss_G: 0.035817 Loss_D_real: -0.028786 Loss_D_fake -0.003497
[590/5000][405/535][60705] Loss_D: -0.024947 Loss_G: 0.016084 Loss_D_real: -0.004185 Loss_D_fake 0.020761
[590/5000][410/535][60706] Loss_D: -0.025217 Loss_G: 0.001933 Loss_D_real: -0.015918 Loss_D_fake 0.009299
[590/5000][415/535][60707] Loss_D: -0.026100 Loss_G: 0.014494 Loss_D_real: -0.019715 Loss_D_fake 0.006386
[590/5000][420/535][60708] Loss_D: -0.025191 Loss_G: 0.010896 Loss_D_real: -0.012555 Loss_D_fake 0.012636
[590/5000][425/535][60709] Loss_D: -0.025430 Loss_G: 0.016859 Loss_D_real: -0.012987 Loss_D_fake 0.012443
[590/5000][430/535][60710] Loss_D: -0.023929 Loss_G: 0.002400 Loss_D_real: -0.002987 Loss_D_fake 0.020942
[590/5000][435/535][60711] Loss_D: -0.025480 Loss_G: 0.020317 Loss_D_real: -0.029991 Loss_D_fake -0.004511
[590/5000][440/535][60712] Loss_D: -0.025532 Loss_G: 0.010223 Loss_D_real: 0.002822 Loss_D_fake 0.028354
[590/5000][445/535][60713] Loss_D: -0.024707 Loss_G: 0.029927 Loss_D_real: -0.028075 Loss_D_fake -0.003368
[590/5000][450/535][60714] Loss_D: -0.026529 Loss_G: 0.000681 Loss_D_real: -0.005872 Loss_D_fake 0.020657
[590/5000][455/535][60715] Loss_D: -0.024435 Loss_G: 0.018025 Loss_D_real: -0.018658 Loss_D_fake 0.005777
[590/5000][460/535][60716] Loss_D: -0.024288 Loss_G: 0.038510 Loss_D_real: -0.036314 Loss_D_fake -0.012026
[590/5000][465/535][60717] Loss_D: -0.025092 Loss_G: 0.003507 Loss_D_real: -0.016697 Loss_D_fake 0.008395
[590/5000][470/535][60718] Loss_D: -0.024433 Loss_G: 0.017452 Loss_D_real: -0.013326 Loss_D_fake 0.011107
[590/5000][475/535][60719] Loss_D: -0.025968 Loss_G: -0.005797 Loss_D_real: -0.000020 Loss_D_fake 0.025948
[590/5000][480/535][60720] Loss_D: -0.023976 Loss_G: 0.026481 Loss_D_real: -0.028111 Loss_D_fake -0.004135
[590/5000][485/535][60721] Loss_D: -0.025413 Loss_G: -0.008875 Loss_D_real: -0.009977 Loss_D_fake 0.015436
[590/5000][490/535][60722] Loss_D: -0.025895 Loss_G: 0.020935 Loss_D_real: -0.025775 Loss_D_fake 0.000120
[590/5000][495/535][60723] Loss_D: -0.025801 Loss_G: 0.014997 Loss_D_real: -0.009890 Loss_D_fake 0.015911
[590/5000][500/535][60724] Loss_D: -0.024946 Loss_G: 0.011614 Loss_D_real: -0.018544 Loss_D_fake 0.006402
[590/5000][505/535][60725] Loss_D: -0.025022 Loss_G: 0.019617 Loss_D_real: -0.032250 Loss_D_fake -0.007228
[590/5000][510/535][60726] Loss_D: -0.025206 Loss_G: 0.039326 Loss_D_real: -0.034868 Loss_D_fake -0.009662
[590/5000][515/535][60727] Loss_D: -0.024763 Loss_G: 0.024639 Loss_D_real: -0.017112 Loss_D_fake 0.007652
[590/5000][520/535][60728] Loss_D: -0.024470 Loss_G: 0.030397 Loss_D_real: -0.030391 Loss_D_fake -0.005921
[590/5000][525/535][60729] Loss_D: -0.026949 Loss_G: 0.016290 Loss_D_real: -0.018843 Loss_D_fake 0.008106
[590/5000][530/535][60730] Loss_D: -0.026359 Loss_G: 0.014399 Loss_D_real: -0.029747 Loss_D_fake -0.003388
[590/5000][535/535][60731] Loss_D: -0.023355 Loss_G: 0.041994 Loss_D_real: -0.020576 Loss_D_fake 0.002778
[591/5000][5/535][60732] Loss_D: -0.023942 Loss_G: 0.001666 Loss_D_real: -0.007643 Loss_D_fake 0.016299
[591/5000][10/535][60733] Loss_D: -0.024905 Loss_G: 0.024534 Loss_D_real: -0.030609 Loss_D_fake -0.005704
[591/5000][15/535][60734] Loss_D: -0.025938 Loss_G: 0.005507 Loss_D_real: -0.004833 Loss_D_fake 0.021104
[591/5000][20/535][60735] Loss_D: -0.025088 Loss_G: 0.022045 Loss_D_real: -0.017388 Loss_D_fake 0.007699
[591/5000][25/535][60736] Loss_D: -0.026443 Loss_G: 0.027613 Loss_D_real: -0.013640 Loss_D_fake 0.012803
[591/5000][30/535][60737] Loss_D: -0.026182 Loss_G: 0.017971 Loss_D_real: -0.025675 Loss_D_fake 0.000506
[591/5000][35/535][60738] Loss_D: -0.025563 Loss_G: 0.000113 Loss_D_real: -0.008767 Loss_D_fake 0.016796
[591/5000][40/535][60739] Loss_D: -0.025185 Loss_G: 0.028316 Loss_D_real: -0.023863 Loss_D_fake 0.001322
[591/5000][45/535][60740] Loss_D: -0.025993 Loss_G: 0.006120 Loss_D_real: -0.008303 Loss_D_fake 0.017690
[591/5000][50/535][60741] Loss_D: -0.025948 Loss_G: 0.014983 Loss_D_real: -0.017565 Loss_D_fake 0.008384
[591/5000][55/535][60742] Loss_D: -0.025842 Loss_G: 0.003512 Loss_D_real: -0.005413 Loss_D_fake 0.020429
[591/5000][60/535][60743] Loss_D: -0.026217 Loss_G: 0.013358 Loss_D_real: -0.013738 Loss_D_fake 0.012479
[591/5000][65/535][60744] Loss_D: -0.025385 Loss_G: 0.030120 Loss_D_real: -0.017003 Loss_D_fake 0.008382
[591/5000][70/535][60745] Loss_D: -0.024731 Loss_G: 0.010117 Loss_D_real: -0.008914 Loss_D_fake 0.015817
[591/5000][75/535][60746] Loss_D: -0.024690 Loss_G: 0.023962 Loss_D_real: -0.014262 Loss_D_fake 0.010428
[591/5000][80/535][60747] Loss_D: -0.025752 Loss_G: 0.020113 Loss_D_real: -0.032034 Loss_D_fake -0.006283
[591/5000][85/535][60748] Loss_D: -0.025098 Loss_G: 0.003162 Loss_D_real: -0.004249 Loss_D_fake 0.020849
[591/5000][90/535][60749] Loss_D: -0.025342 Loss_G: 0.006271 Loss_D_real: -0.017471 Loss_D_fake 0.007871
[591/5000][95/535][60750] Loss_D: -0.024624 Loss_G: 0.013230 Loss_D_real: -0.014890 Loss_D_fake 0.009734
[591/5000][100/535][60751] Loss_D: -0.024974 Loss_G: 0.016599 Loss_D_real: -0.026127 Loss_D_fake -0.001152
[591/5000][105/535][60752] Loss_D: -0.023817 Loss_G: 0.012247 Loss_D_real: -0.019602 Loss_D_fake 0.004216
[591/5000][110/535][60753] Loss_D: -0.025643 Loss_G: 0.013174 Loss_D_real: -0.014783 Loss_D_fake 0.010860
[591/5000][115/535][60754] Loss_D: -0.023945 Loss_G: 0.036803 Loss_D_real: -0.026664 Loss_D_fake -0.002719
[591/5000][120/535][60755] Loss_D: -0.025070 Loss_G: 0.025184 Loss_D_real: -0.013871 Loss_D_fake 0.011199
[591/5000][125/535][60756] Loss_D: -0.025068 Loss_G: 0.027574 Loss_D_real: -0.022832 Loss_D_fake 0.002236
[591/5000][130/535][60757] Loss_D: -0.025830 Loss_G: 0.001409 Loss_D_real: -0.017095 Loss_D_fake 0.008735
[591/5000][135/535][60758] Loss_D: -0.024002 Loss_G: 0.024153 Loss_D_real: -0.025175 Loss_D_fake -0.001173
[591/5000][140/535][60759] Loss_D: -0.024012 Loss_G: 0.026682 Loss_D_real: -0.024637 Loss_D_fake -0.000625
[591/5000][145/535][60760] Loss_D: -0.024508 Loss_G: 0.009353 Loss_D_real: -0.002203 Loss_D_fake 0.022305
[591/5000][150/535][60761] Loss_D: -0.024185 Loss_G: -0.000420 Loss_D_real: -0.010243 Loss_D_fake 0.013942
[591/5000][155/535][60762] Loss_D: -0.025249 Loss_G: 0.024868 Loss_D_real: -0.019270 Loss_D_fake 0.005979
[591/5000][160/535][60763] Loss_D: -0.024640 Loss_G: 0.022358 Loss_D_real: -0.022756 Loss_D_fake 0.001884
[591/5000][165/535][60764] Loss_D: -0.024115 Loss_G: -0.009068 Loss_D_real: -0.001544 Loss_D_fake 0.022571
[591/5000][170/535][60765] Loss_D: -0.022873 Loss_G: 0.035522 Loss_D_real: -0.032396 Loss_D_fake -0.009523
[591/5000][175/535][60766] Loss_D: -0.025030 Loss_G: 0.019156 Loss_D_real: -0.016663 Loss_D_fake 0.008367
[591/5000][180/535][60767] Loss_D: -0.025423 Loss_G: 0.028761 Loss_D_real: -0.027141 Loss_D_fake -0.001718
[591/5000][185/535][60768] Loss_D: -0.026241 Loss_G: 0.010903 Loss_D_real: -0.008476 Loss_D_fake 0.017765
[591/5000][190/535][60769] Loss_D: -0.025821 Loss_G: -0.006417 Loss_D_real: -0.012701 Loss_D_fake 0.013120
[591/5000][195/535][60770] Loss_D: -0.027009 Loss_G: 0.018121 Loss_D_real: -0.011019 Loss_D_fake 0.015990
[591/5000][200/535][60771] Loss_D: -0.025287 Loss_G: 0.028176 Loss_D_real: -0.021064 Loss_D_fake 0.004224
[591/5000][205/535][60772] Loss_D: -0.025232 Loss_G: 0.025793 Loss_D_real: -0.013232 Loss_D_fake 0.012000
[591/5000][210/535][60773] Loss_D: -0.025189 Loss_G: 0.017646 Loss_D_real: -0.016450 Loss_D_fake 0.008738
[591/5000][215/535][60774] Loss_D: -0.025243 Loss_G: -0.001692 Loss_D_real: -0.011063 Loss_D_fake 0.014180
[591/5000][220/535][60775] Loss_D: -0.025690 Loss_G: 0.024783 Loss_D_real: -0.014293 Loss_D_fake 0.011398
[591/5000][225/535][60776] Loss_D: -0.025005 Loss_G: 0.013237 Loss_D_real: -0.007377 Loss_D_fake 0.017628
[591/5000][230/535][60777] Loss_D: -0.023419 Loss_G: 0.023856 Loss_D_real: -0.030678 Loss_D_fake -0.007259
[591/5000][235/535][60778] Loss_D: -0.025682 Loss_G: 0.009704 Loss_D_real: 0.000216 Loss_D_fake 0.025898
[591/5000][240/535][60779] Loss_D: -0.025151 Loss_G: 0.019605 Loss_D_real: -0.017879 Loss_D_fake 0.007272
[591/5000][245/535][60780] Loss_D: -0.026074 Loss_G: 0.006612 Loss_D_real: -0.007628 Loss_D_fake 0.018446
[591/5000][250/535][60781] Loss_D: -0.025714 Loss_G: 0.011101 Loss_D_real: -0.013577 Loss_D_fake 0.012137
[591/5000][255/535][60782] Loss_D: -0.024298 Loss_G: -0.007224 Loss_D_real: -0.004952 Loss_D_fake 0.019346
[591/5000][260/535][60783] Loss_D: -0.025077 Loss_G: 0.031064 Loss_D_real: -0.025583 Loss_D_fake -0.000506
[591/5000][265/535][60784] Loss_D: -0.025569 Loss_G: 0.010465 Loss_D_real: -0.015564 Loss_D_fake 0.010005
[591/5000][270/535][60785] Loss_D: -0.025425 Loss_G: 0.041250 Loss_D_real: -0.039045 Loss_D_fake -0.013620
[591/5000][275/535][60786] Loss_D: -0.026950 Loss_G: -0.003393 Loss_D_real: -0.007990 Loss_D_fake 0.018959
[591/5000][280/535][60787] Loss_D: -0.022395 Loss_G: 0.032439 Loss_D_real: -0.035207 Loss_D_fake -0.012813
[591/5000][285/535][60788] Loss_D: -0.024723 Loss_G: 0.009052 Loss_D_real: -0.009928 Loss_D_fake 0.014795
[591/5000][290/535][60789] Loss_D: -0.025924 Loss_G: 0.016710 Loss_D_real: -0.002499 Loss_D_fake 0.023425
[591/5000][295/535][60790] Loss_D: -0.023544 Loss_G: 0.009694 Loss_D_real: -0.009102 Loss_D_fake 0.014442
[591/5000][300/535][60791] Loss_D: -0.023857 Loss_G: 0.030357 Loss_D_real: -0.017492 Loss_D_fake 0.006365
[591/5000][305/535][60792] Loss_D: -0.024035 Loss_G: 0.016613 Loss_D_real: -0.019322 Loss_D_fake 0.004714
[591/5000][310/535][60793] Loss_D: -0.027028 Loss_G: 0.010506 Loss_D_real: -0.007994 Loss_D_fake 0.019034
[591/5000][315/535][60794] Loss_D: -0.024826 Loss_G: 0.005187 Loss_D_real: -0.017756 Loss_D_fake 0.007070
[591/5000][320/535][60795] Loss_D: -0.025753 Loss_G: 0.026561 Loss_D_real: -0.021234 Loss_D_fake 0.004518
[591/5000][325/535][60796] Loss_D: -0.025203 Loss_G: 0.006824 Loss_D_real: -0.012966 Loss_D_fake 0.012237
[591/5000][330/535][60797] Loss_D: -0.024941 Loss_G: 0.023485 Loss_D_real: -0.024511 Loss_D_fake 0.000430
[591/5000][335/535][60798] Loss_D: -0.025285 Loss_G: 0.012044 Loss_D_real: -0.013882 Loss_D_fake 0.011403
[591/5000][340/535][60799] Loss_D: -0.027160 Loss_G: 0.016820 Loss_D_real: -0.010027 Loss_D_fake 0.017133
[591/5000][345/535][60800] Loss_D: -0.024063 Loss_G: 0.005814 Loss_D_real: -0.016107 Loss_D_fake 0.007956
[591/5000][350/535][60801] Loss_D: -0.026017 Loss_G: 0.005763 Loss_D_real: -0.005605 Loss_D_fake 0.020412
[591/5000][355/535][60802] Loss_D: -0.025417 Loss_G: 0.032230 Loss_D_real: -0.028107 Loss_D_fake -0.002690
[591/5000][360/535][60803] Loss_D: -0.026882 Loss_G: 0.006852 Loss_D_real: -0.020219 Loss_D_fake 0.006663
[591/5000][365/535][60804] Loss_D: -0.025851 Loss_G: 0.029144 Loss_D_real: -0.022470 Loss_D_fake 0.003381
[591/5000][370/535][60805] Loss_D: -0.025446 Loss_G: 0.023414 Loss_D_real: -0.017354 Loss_D_fake 0.008092
[591/5000][375/535][60806] Loss_D: -0.024657 Loss_G: 0.020261 Loss_D_real: -0.020830 Loss_D_fake 0.003827
[591/5000][380/535][60807] Loss_D: -0.024637 Loss_G: 0.010134 Loss_D_real: -0.011545 Loss_D_fake 0.013092
[591/5000][385/535][60808] Loss_D: -0.025523 Loss_G: 0.018227 Loss_D_real: -0.022866 Loss_D_fake 0.002656
[591/5000][390/535][60809] Loss_D: -0.025719 Loss_G: 0.012117 Loss_D_real: -0.011656 Loss_D_fake 0.014062
[591/5000][395/535][60810] Loss_D: -0.023413 Loss_G: -0.013555 Loss_D_real: -0.005119 Loss_D_fake 0.018293
[591/5000][400/535][60811] Loss_D: -0.023597 Loss_G: 0.033636 Loss_D_real: -0.027382 Loss_D_fake -0.003785
[591/5000][405/535][60812] Loss_D: -0.026014 Loss_G: 0.027083 Loss_D_real: -0.032446 Loss_D_fake -0.006432
[591/5000][410/535][60813] Loss_D: -0.025350 Loss_G: -0.001682 Loss_D_real: -0.013898 Loss_D_fake 0.011452
[591/5000][415/535][60814] Loss_D: -0.025278 Loss_G: -0.011836 Loss_D_real: -0.001317 Loss_D_fake 0.023961
[591/5000][420/535][60815] Loss_D: -0.025888 Loss_G: 0.018843 Loss_D_real: -0.012352 Loss_D_fake 0.013536
[591/5000][425/535][60816] Loss_D: -0.026336 Loss_G: 0.027540 Loss_D_real: -0.025840 Loss_D_fake 0.000496
[591/5000][430/535][60817] Loss_D: -0.024273 Loss_G: 0.020480 Loss_D_real: -0.021020 Loss_D_fake 0.003253
[591/5000][435/535][60818] Loss_D: -0.025300 Loss_G: 0.016823 Loss_D_real: -0.010313 Loss_D_fake 0.014988
[591/5000][440/535][60819] Loss_D: -0.024281 Loss_G: 0.018358 Loss_D_real: -0.018397 Loss_D_fake 0.005884
[591/5000][445/535][60820] Loss_D: -0.026481 Loss_G: 0.018171 Loss_D_real: -0.010613 Loss_D_fake 0.015868
[591/5000][450/535][60821] Loss_D: -0.026393 Loss_G: 0.018813 Loss_D_real: -0.011213 Loss_D_fake 0.015180
[591/5000][455/535][60822] Loss_D: -0.024342 Loss_G: -0.012344 Loss_D_real: 0.001798 Loss_D_fake 0.026141
[591/5000][460/535][60823] Loss_D: -0.025789 Loss_G: 0.020258 Loss_D_real: -0.020565 Loss_D_fake 0.005224
[591/5000][465/535][60824] Loss_D: -0.025373 Loss_G: 0.018901 Loss_D_real: -0.015636 Loss_D_fake 0.009738
[591/5000][470/535][60825] Loss_D: -0.025206 Loss_G: 0.012922 Loss_D_real: -0.008693 Loss_D_fake 0.016513
[591/5000][475/535][60826] Loss_D: -0.023478 Loss_G: 0.010730 Loss_D_real: -0.017901 Loss_D_fake 0.005576
[591/5000][480/535][60827] Loss_D: -0.024991 Loss_G: 0.015134 Loss_D_real: -0.015770 Loss_D_fake 0.009221
[591/5000][485/535][60828] Loss_D: -0.024790 Loss_G: -0.007276 Loss_D_real: -0.003898 Loss_D_fake 0.020892
[591/5000][490/535][60829] Loss_D: -0.023710 Loss_G: 0.017557 Loss_D_real: -0.025293 Loss_D_fake -0.001584
[591/5000][495/535][60830] Loss_D: -0.024965 Loss_G: 0.003748 Loss_D_real: -0.000401 Loss_D_fake 0.024564
[591/5000][500/535][60831] Loss_D: -0.024975 Loss_G: 0.041266 Loss_D_real: -0.030717 Loss_D_fake -0.005742
[591/5000][505/535][60832] Loss_D: -0.027134 Loss_G: 0.006672 Loss_D_real: -0.005482 Loss_D_fake 0.021651
[591/5000][510/535][60833] Loss_D: -0.025941 Loss_G: 0.021448 Loss_D_real: -0.024621 Loss_D_fake 0.001320
[591/5000][515/535][60834] Loss_D: -0.025600 Loss_G: 0.024839 Loss_D_real: -0.024776 Loss_D_fake 0.000825
[591/5000][520/535][60835] Loss_D: -0.026668 Loss_G: 0.015632 Loss_D_real: -0.020576 Loss_D_fake 0.006092
[591/5000][525/535][60836] Loss_D: -0.023757 Loss_G: 0.033346 Loss_D_real: -0.025141 Loss_D_fake -0.001384
[591/5000][530/535][60837] Loss_D: -0.024673 Loss_G: -0.001204 Loss_D_real: -0.017834 Loss_D_fake 0.006839
[591/5000][535/535][60838] Loss_D: -0.024657 Loss_G: 0.017505 Loss_D_real: -0.018158 Loss_D_fake 0.006499
[592/5000][5/535][60839] Loss_D: -0.024957 Loss_G: 0.031682 Loss_D_real: -0.022914 Loss_D_fake 0.002043
[592/5000][10/535][60840] Loss_D: -0.025614 Loss_G: 0.007719 Loss_D_real: -0.014311 Loss_D_fake 0.011303
[592/5000][15/535][60841] Loss_D: -0.024867 Loss_G: 0.022087 Loss_D_real: -0.012156 Loss_D_fake 0.012710
[592/5000][20/535][60842] Loss_D: -0.025702 Loss_G: 0.011984 Loss_D_real: -0.015167 Loss_D_fake 0.010535
[592/5000][25/535][60843] Loss_D: -0.025902 Loss_G: 0.009275 Loss_D_real: -0.013270 Loss_D_fake 0.012632
[592/5000][30/535][60844] Loss_D: -0.026122 Loss_G: 0.012671 Loss_D_real: -0.011959 Loss_D_fake 0.014164
[592/5000][35/535][60845] Loss_D: -0.025590 Loss_G: 0.005526 Loss_D_real: -0.007309 Loss_D_fake 0.018281
[592/5000][40/535][60846] Loss_D: -0.026148 Loss_G: 0.016756 Loss_D_real: -0.018992 Loss_D_fake 0.007157
[592/5000][45/535][60847] Loss_D: -0.025026 Loss_G: 0.031467 Loss_D_real: -0.028695 Loss_D_fake -0.003669
[592/5000][50/535][60848] Loss_D: -0.026044 Loss_G: 0.020234 Loss_D_real: -0.017587 Loss_D_fake 0.008457
[592/5000][55/535][60849] Loss_D: -0.025997 Loss_G: 0.032370 Loss_D_real: -0.030065 Loss_D_fake -0.004068
[592/5000][60/535][60850] Loss_D: -0.025565 Loss_G: -0.005701 Loss_D_real: -0.009364 Loss_D_fake 0.016201
[592/5000][65/535][60851] Loss_D: -0.025047 Loss_G: 0.027520 Loss_D_real: -0.019159 Loss_D_fake 0.005888
[592/5000][70/535][60852] Loss_D: -0.025158 Loss_G: 0.013371 Loss_D_real: -0.015977 Loss_D_fake 0.009182
[592/5000][75/535][60853] Loss_D: -0.026254 Loss_G: 0.008271 Loss_D_real: -0.009408 Loss_D_fake 0.016847
[592/5000][80/535][60854] Loss_D: -0.025638 Loss_G: 0.017924 Loss_D_real: -0.018676 Loss_D_fake 0.006962
[592/5000][85/535][60855] Loss_D: -0.025224 Loss_G: 0.006866 Loss_D_real: -0.011734 Loss_D_fake 0.013490
[592/5000][90/535][60856] Loss_D: -0.024460 Loss_G: 0.025576 Loss_D_real: -0.023008 Loss_D_fake 0.001452
[592/5000][95/535][60857] Loss_D: -0.025529 Loss_G: 0.008685 Loss_D_real: -0.019429 Loss_D_fake 0.006100
[592/5000][100/535][60858] Loss_D: -0.024766 Loss_G: 0.021820 Loss_D_real: -0.039814 Loss_D_fake -0.015048
[592/5000][105/535][60859] Loss_D: -0.025277 Loss_G: -0.008257 Loss_D_real: -0.005649 Loss_D_fake 0.019628
[592/5000][110/535][60860] Loss_D: -0.025613 Loss_G: 0.015288 Loss_D_real: -0.022628 Loss_D_fake 0.002985
[592/5000][115/535][60861] Loss_D: -0.025247 Loss_G: 0.028901 Loss_D_real: -0.029222 Loss_D_fake -0.003975
[592/5000][120/535][60862] Loss_D: -0.025497 Loss_G: 0.020312 Loss_D_real: -0.021166 Loss_D_fake 0.004331
[592/5000][125/535][60863] Loss_D: -0.024161 Loss_G: 0.035013 Loss_D_real: -0.032987 Loss_D_fake -0.008826
[592/5000][130/535][60864] Loss_D: -0.026243 Loss_G: 0.004728 Loss_D_real: 0.005780 Loss_D_fake 0.032024
[592/5000][135/535][60865] Loss_D: -0.024529 Loss_G: 0.017563 Loss_D_real: -0.018959 Loss_D_fake 0.005570
[592/5000][140/535][60866] Loss_D: -0.026376 Loss_G: 0.010978 Loss_D_real: -0.009626 Loss_D_fake 0.016750
[592/5000][145/535][60867] Loss_D: -0.025057 Loss_G: 0.021616 Loss_D_real: -0.020242 Loss_D_fake 0.004815
[592/5000][150/535][60868] Loss_D: -0.024403 Loss_G: 0.020073 Loss_D_real: -0.026964 Loss_D_fake -0.002561
[592/5000][155/535][60869] Loss_D: -0.024469 Loss_G: -0.009317 Loss_D_real: 0.013000 Loss_D_fake 0.037469
[592/5000][160/535][60870] Loss_D: -0.025015 Loss_G: 0.021357 Loss_D_real: -0.024573 Loss_D_fake 0.000442
[592/5000][165/535][60871] Loss_D: -0.025091 Loss_G: 0.025813 Loss_D_real: -0.023302 Loss_D_fake 0.001789
[592/5000][170/535][60872] Loss_D: -0.025731 Loss_G: 0.005043 Loss_D_real: -0.009403 Loss_D_fake 0.016328
[592/5000][175/535][60873] Loss_D: -0.024597 Loss_G: 0.020135 Loss_D_real: -0.018472 Loss_D_fake 0.006125
[592/5000][180/535][60874] Loss_D: -0.025080 Loss_G: 0.016392 Loss_D_real: -0.015196 Loss_D_fake 0.009884
[592/5000][185/535][60875] Loss_D: -0.025400 Loss_G: 0.036463 Loss_D_real: -0.030156 Loss_D_fake -0.004757
[592/5000][190/535][60876] Loss_D: -0.025169 Loss_G: 0.017855 Loss_D_real: -0.016003 Loss_D_fake 0.009166
[592/5000][195/535][60877] Loss_D: -0.025244 Loss_G: 0.008136 Loss_D_real: -0.011266 Loss_D_fake 0.013978
[592/5000][200/535][60878] Loss_D: -0.024647 Loss_G: 0.028397 Loss_D_real: -0.036319 Loss_D_fake -0.011672
[592/5000][205/535][60879] Loss_D: -0.024987 Loss_G: 0.019392 Loss_D_real: -0.019265 Loss_D_fake 0.005722
[592/5000][210/535][60880] Loss_D: -0.026457 Loss_G: 0.007294 Loss_D_real: -0.019995 Loss_D_fake 0.006462
[592/5000][215/535][60881] Loss_D: -0.024422 Loss_G: 0.009513 Loss_D_real: -0.008839 Loss_D_fake 0.015582
[592/5000][220/535][60882] Loss_D: -0.024104 Loss_G: 0.028998 Loss_D_real: -0.023145 Loss_D_fake 0.000959
[592/5000][225/535][60883] Loss_D: -0.025456 Loss_G: 0.008863 Loss_D_real: -0.017326 Loss_D_fake 0.008130
[592/5000][230/535][60884] Loss_D: -0.023953 Loss_G: 0.024468 Loss_D_real: -0.006071 Loss_D_fake 0.017881
[592/5000][235/535][60885] Loss_D: -0.025022 Loss_G: 0.015729 Loss_D_real: -0.008398 Loss_D_fake 0.016625
[592/5000][240/535][60886] Loss_D: -0.024987 Loss_G: 0.015124 Loss_D_real: -0.025993 Loss_D_fake -0.001006
[592/5000][245/535][60887] Loss_D: -0.026063 Loss_G: 0.018132 Loss_D_real: -0.012495 Loss_D_fake 0.013568
[592/5000][250/535][60888] Loss_D: -0.025022 Loss_G: 0.022286 Loss_D_real: -0.027116 Loss_D_fake -0.002094
[592/5000][255/535][60889] Loss_D: -0.026318 Loss_G: 0.011641 Loss_D_real: -0.017117 Loss_D_fake 0.009200
[592/5000][260/535][60890] Loss_D: -0.024636 Loss_G: 0.025500 Loss_D_real: -0.034736 Loss_D_fake -0.010100
[592/5000][265/535][60891] Loss_D: -0.023602 Loss_G: 0.000486 Loss_D_real: -0.002095 Loss_D_fake 0.021507
[592/5000][270/535][60892] Loss_D: -0.024562 Loss_G: 0.015681 Loss_D_real: -0.015377 Loss_D_fake 0.009185
[592/5000][275/535][60893] Loss_D: -0.024087 Loss_G: 0.029120 Loss_D_real: -0.032032 Loss_D_fake -0.007946
[592/5000][280/535][60894] Loss_D: -0.025140 Loss_G: 0.005956 Loss_D_real: -0.014897 Loss_D_fake 0.010243
[592/5000][285/535][60895] Loss_D: -0.026230 Loss_G: -0.000223 Loss_D_real: -0.007837 Loss_D_fake 0.018393
[592/5000][290/535][60896] Loss_D: -0.024168 Loss_G: 0.000322 Loss_D_real: -0.008564 Loss_D_fake 0.015604
[592/5000][295/535][60897] Loss_D: -0.021074 Loss_G: 0.039828 Loss_D_real: -0.032557 Loss_D_fake -0.011483
[592/5000][300/535][60898] Loss_D: -0.025954 Loss_G: 0.010415 Loss_D_real: -0.008155 Loss_D_fake 0.017798
[592/5000][305/535][60899] Loss_D: -0.024846 Loss_G: 0.031548 Loss_D_real: -0.025935 Loss_D_fake -0.001089
[592/5000][310/535][60900] Loss_D: -0.027291 Loss_G: 0.011337 Loss_D_real: -0.009766 Loss_D_fake 0.017525
[592/5000][315/535][60901] Loss_D: -0.025174 Loss_G: 0.033496 Loss_D_real: -0.036861 Loss_D_fake -0.011687
[592/5000][320/535][60902] Loss_D: -0.025258 Loss_G: 0.017716 Loss_D_real: -0.015985 Loss_D_fake 0.009274
[592/5000][325/535][60903] Loss_D: -0.026216 Loss_G: 0.006528 Loss_D_real: -0.012023 Loss_D_fake 0.014193
[592/5000][330/535][60904] Loss_D: -0.025483 Loss_G: 0.025502 Loss_D_real: -0.016573 Loss_D_fake 0.008910
[592/5000][335/535][60905] Loss_D: -0.025992 Loss_G: 0.009739 Loss_D_real: -0.020835 Loss_D_fake 0.005156
[592/5000][340/535][60906] Loss_D: -0.024511 Loss_G: -0.001132 Loss_D_real: -0.003382 Loss_D_fake 0.021129
[592/5000][345/535][60907] Loss_D: -0.023493 Loss_G: 0.024382 Loss_D_real: -0.027105 Loss_D_fake -0.003612
[592/5000][350/535][60908] Loss_D: -0.024837 Loss_G: 0.008505 Loss_D_real: -0.007658 Loss_D_fake 0.017179
[592/5000][355/535][60909] Loss_D: -0.026439 Loss_G: 0.002842 Loss_D_real: -0.011634 Loss_D_fake 0.014805
[592/5000][360/535][60910] Loss_D: -0.026648 Loss_G: 0.010349 Loss_D_real: -0.018161 Loss_D_fake 0.008488
[592/5000][365/535][60911] Loss_D: -0.026435 Loss_G: 0.013234 Loss_D_real: -0.003192 Loss_D_fake 0.023243
[592/5000][370/535][60912] Loss_D: -0.024997 Loss_G: 0.020890 Loss_D_real: -0.015024 Loss_D_fake 0.009974
[592/5000][375/535][60913] Loss_D: -0.025092 Loss_G: 0.009424 Loss_D_real: -0.007921 Loss_D_fake 0.017172
[592/5000][380/535][60914] Loss_D: -0.025819 Loss_G: 0.023155 Loss_D_real: -0.028399 Loss_D_fake -0.002580
[592/5000][385/535][60915] Loss_D: -0.023717 Loss_G: -0.015894 Loss_D_real: 0.000217 Loss_D_fake 0.023934
[592/5000][390/535][60916] Loss_D: -0.024199 Loss_G: 0.029878 Loss_D_real: -0.028600 Loss_D_fake -0.004401
[592/5000][395/535][60917] Loss_D: -0.024681 Loss_G: 0.006750 Loss_D_real: -0.006912 Loss_D_fake 0.017769
[592/5000][400/535][60918] Loss_D: -0.024365 Loss_G: 0.011972 Loss_D_real: -0.017857 Loss_D_fake 0.006508
[592/5000][405/535][60919] Loss_D: -0.024310 Loss_G: 0.005171 Loss_D_real: 0.002024 Loss_D_fake 0.026334
[592/5000][410/535][60920] Loss_D: -0.025012 Loss_G: 0.003321 Loss_D_real: -0.007427 Loss_D_fake 0.017585
[592/5000][415/535][60921] Loss_D: -0.023869 Loss_G: 0.033884 Loss_D_real: -0.021115 Loss_D_fake 0.002754
[592/5000][420/535][60922] Loss_D: -0.025695 Loss_G: 0.003685 Loss_D_real: -0.012382 Loss_D_fake 0.013313
[592/5000][425/535][60923] Loss_D: -0.024726 Loss_G: 0.014331 Loss_D_real: -0.026230 Loss_D_fake -0.001503
[592/5000][430/535][60924] Loss_D: -0.025164 Loss_G: 0.015546 Loss_D_real: -0.024883 Loss_D_fake 0.000282
[592/5000][435/535][60925] Loss_D: -0.024949 Loss_G: -0.000485 Loss_D_real: -0.002587 Loss_D_fake 0.022362
[592/5000][440/535][60926] Loss_D: -0.026188 Loss_G: 0.010843 Loss_D_real: -0.012035 Loss_D_fake 0.014153
[592/5000][445/535][60927] Loss_D: -0.026196 Loss_G: 0.020102 Loss_D_real: -0.017185 Loss_D_fake 0.009012
[592/5000][450/535][60928] Loss_D: -0.025186 Loss_G: 0.021819 Loss_D_real: -0.024134 Loss_D_fake 0.001052
[592/5000][455/535][60929] Loss_D: -0.025805 Loss_G: 0.002525 Loss_D_real: -0.012104 Loss_D_fake 0.013700
[592/5000][460/535][60930] Loss_D: -0.024565 Loss_G: 0.032286 Loss_D_real: -0.031241 Loss_D_fake -0.006677
[592/5000][465/535][60931] Loss_D: -0.024425 Loss_G: 0.013601 Loss_D_real: -0.017642 Loss_D_fake 0.006784
[592/5000][470/535][60932] Loss_D: -0.026264 Loss_G: 0.025573 Loss_D_real: -0.021969 Loss_D_fake 0.004295
[592/5000][475/535][60933] Loss_D: -0.024575 Loss_G: -0.008052 Loss_D_real: 0.006173 Loss_D_fake 0.030748
[592/5000][480/535][60934] Loss_D: -0.025565 Loss_G: 0.025919 Loss_D_real: -0.026454 Loss_D_fake -0.000888
[592/5000][485/535][60935] Loss_D: -0.025248 Loss_G: 0.025869 Loss_D_real: -0.025004 Loss_D_fake 0.000244
[592/5000][490/535][60936] Loss_D: -0.024824 Loss_G: 0.034405 Loss_D_real: -0.026996 Loss_D_fake -0.002172
[592/5000][495/535][60937] Loss_D: -0.024745 Loss_G: -0.000997 Loss_D_real: 0.000660 Loss_D_fake 0.025406
[592/5000][500/535][60938] Loss_D: -0.023787 Loss_G: 0.028029 Loss_D_real: -0.017736 Loss_D_fake 0.006051
[592/5000][505/535][60939] Loss_D: -0.025223 Loss_G: 0.010337 Loss_D_real: -0.018533 Loss_D_fake 0.006689
[592/5000][510/535][60940] Loss_D: -0.024798 Loss_G: 0.026900 Loss_D_real: -0.032292 Loss_D_fake -0.007494
[592/5000][515/535][60941] Loss_D: -0.025414 Loss_G: 0.017005 Loss_D_real: -0.023277 Loss_D_fake 0.002136
[592/5000][520/535][60942] Loss_D: -0.024377 Loss_G: 0.026043 Loss_D_real: -0.019789 Loss_D_fake 0.004588
[592/5000][525/535][60943] Loss_D: -0.023826 Loss_G: 0.016452 Loss_D_real: -0.023798 Loss_D_fake 0.000028
[592/5000][530/535][60944] Loss_D: -0.023384 Loss_G: -0.023475 Loss_D_real: 0.009082 Loss_D_fake 0.032466
[592/5000][535/535][60945] Loss_D: -0.022731 Loss_G: 0.009360 Loss_D_real: -0.007549 Loss_D_fake 0.015182
[593/5000][5/535][60946] Loss_D: -0.025338 Loss_G: 0.025947 Loss_D_real: -0.020618 Loss_D_fake 0.004721
[593/5000][10/535][60947] Loss_D: -0.025746 Loss_G: 0.011700 Loss_D_real: -0.016727 Loss_D_fake 0.009019
[593/5000][15/535][60948] Loss_D: -0.026918 Loss_G: 0.012710 Loss_D_real: -0.008997 Loss_D_fake 0.017921
[593/5000][20/535][60949] Loss_D: -0.024525 Loss_G: 0.034722 Loss_D_real: -0.031150 Loss_D_fake -0.006626
[593/5000][25/535][60950] Loss_D: -0.025362 Loss_G: 0.004573 Loss_D_real: -0.000307 Loss_D_fake 0.025055
[593/5000][30/535][60951] Loss_D: -0.024971 Loss_G: 0.010886 Loss_D_real: -0.013575 Loss_D_fake 0.011396
[593/5000][35/535][60952] Loss_D: -0.025354 Loss_G: 0.017307 Loss_D_real: -0.023627 Loss_D_fake 0.001727
[593/5000][40/535][60953] Loss_D: -0.025717 Loss_G: -0.002839 Loss_D_real: 0.001663 Loss_D_fake 0.027380
[593/5000][45/535][60954] Loss_D: -0.024413 Loss_G: 0.010163 Loss_D_real: -0.011604 Loss_D_fake 0.012809
[593/5000][50/535][60955] Loss_D: -0.022919 Loss_G: 0.036909 Loss_D_real: -0.038757 Loss_D_fake -0.015838
[593/5000][55/535][60956] Loss_D: -0.026189 Loss_G: 0.022491 Loss_D_real: -0.023790 Loss_D_fake 0.002399
[593/5000][60/535][60957] Loss_D: -0.025492 Loss_G: 0.018285 Loss_D_real: -0.026698 Loss_D_fake -0.001205
[593/5000][65/535][60958] Loss_D: -0.024160 Loss_G: 0.007954 Loss_D_real: -0.001429 Loss_D_fake 0.022731
[593/5000][70/535][60959] Loss_D: -0.024924 Loss_G: 0.022449 Loss_D_real: -0.024059 Loss_D_fake 0.000865
[593/5000][75/535][60960] Loss_D: -0.025089 Loss_G: 0.004905 Loss_D_real: -0.007918 Loss_D_fake 0.017171
[593/5000][80/535][60961] Loss_D: -0.026767 Loss_G: 0.018413 Loss_D_real: -0.011218 Loss_D_fake 0.015549
[593/5000][85/535][60962] Loss_D: -0.024230 Loss_G: 0.025019 Loss_D_real: -0.016007 Loss_D_fake 0.008223
[593/5000][90/535][60963] Loss_D: -0.026596 Loss_G: 0.020399 Loss_D_real: -0.026477 Loss_D_fake 0.000119
[593/5000][95/535][60964] Loss_D: -0.023803 Loss_G: 0.022929 Loss_D_real: -0.021356 Loss_D_fake 0.002446
[593/5000][100/535][60965] Loss_D: -0.024899 Loss_G: 0.013115 Loss_D_real: -0.012895 Loss_D_fake 0.012004
[593/5000][105/535][60966] Loss_D: -0.025841 Loss_G: 0.014333 Loss_D_real: -0.008283 Loss_D_fake 0.017558
[593/5000][110/535][60967] Loss_D: -0.024908 Loss_G: 0.023468 Loss_D_real: -0.026744 Loss_D_fake -0.001836
[593/5000][115/535][60968] Loss_D: -0.024671 Loss_G: 0.012506 Loss_D_real: -0.010887 Loss_D_fake 0.013784
[593/5000][120/535][60969] Loss_D: -0.025280 Loss_G: 0.020768 Loss_D_real: -0.023266 Loss_D_fake 0.002013
[593/5000][125/535][60970] Loss_D: -0.025229 Loss_G: 0.014595 Loss_D_real: -0.014153 Loss_D_fake 0.011076
[593/5000][130/535][60971] Loss_D: -0.026233 Loss_G: 0.014487 Loss_D_real: -0.029724 Loss_D_fake -0.003491
[593/5000][135/535][60972] Loss_D: -0.023528 Loss_G: -0.009309 Loss_D_real: 0.003618 Loss_D_fake 0.027147
[593/5000][140/535][60973] Loss_D: -0.023551 Loss_G: 0.026764 Loss_D_real: -0.029820 Loss_D_fake -0.006269
[593/5000][145/535][60974] Loss_D: -0.025514 Loss_G: 0.019120 Loss_D_real: -0.018206 Loss_D_fake 0.007308
[593/5000][150/535][60975] Loss_D: -0.025951 Loss_G: 0.018269 Loss_D_real: -0.023886 Loss_D_fake 0.002065
[593/5000][155/535][60976] Loss_D: -0.025403 Loss_G: 0.016092 Loss_D_real: -0.012561 Loss_D_fake 0.012842
[593/5000][160/535][60977] Loss_D: -0.024910 Loss_G: 0.013389 Loss_D_real: -0.024093 Loss_D_fake 0.000817
[593/5000][165/535][60978] Loss_D: -0.025461 Loss_G: 0.018203 Loss_D_real: -0.021542 Loss_D_fake 0.003919
[593/5000][170/535][60979] Loss_D: -0.024768 Loss_G: 0.010376 Loss_D_real: -0.017429 Loss_D_fake 0.007339
[593/5000][175/535][60980] Loss_D: -0.025756 Loss_G: 0.021479 Loss_D_real: -0.024692 Loss_D_fake 0.001064
[593/5000][180/535][60981] Loss_D: -0.025353 Loss_G: 0.006762 Loss_D_real: -0.001518 Loss_D_fake 0.023834
[593/5000][185/535][60982] Loss_D: -0.024513 Loss_G: 0.024670 Loss_D_real: -0.033230 Loss_D_fake -0.008717
[593/5000][190/535][60983] Loss_D: -0.025615 Loss_G: -0.005432 Loss_D_real: 0.006203 Loss_D_fake 0.031818
[593/5000][195/535][60984] Loss_D: -0.024004 Loss_G: 0.024299 Loss_D_real: -0.017582 Loss_D_fake 0.006421
[593/5000][200/535][60985] Loss_D: -0.025026 Loss_G: 0.015482 Loss_D_real: -0.026581 Loss_D_fake -0.001555
[593/5000][205/535][60986] Loss_D: -0.026231 Loss_G: 0.008406 Loss_D_real: -0.003027 Loss_D_fake 0.023203
[593/5000][210/535][60987] Loss_D: -0.022971 Loss_G: 0.033663 Loss_D_real: -0.036936 Loss_D_fake -0.013965
[593/5000][215/535][60988] Loss_D: -0.026266 Loss_G: 0.014011 Loss_D_real: -0.013000 Loss_D_fake 0.013266
[593/5000][220/535][60989] Loss_D: -0.026679 Loss_G: 0.005930 Loss_D_real: -0.016587 Loss_D_fake 0.010091
[593/5000][225/535][60990] Loss_D: -0.027351 Loss_G: 0.010246 Loss_D_real: -0.012488 Loss_D_fake 0.014863
[593/5000][230/535][60991] Loss_D: -0.025619 Loss_G: 0.004922 Loss_D_real: -0.009654 Loss_D_fake 0.015965
[593/5000][235/535][60992] Loss_D: -0.025425 Loss_G: 0.003568 Loss_D_real: -0.015810 Loss_D_fake 0.009616
[593/5000][240/535][60993] Loss_D: -0.024277 Loss_G: 0.034511 Loss_D_real: -0.032739 Loss_D_fake -0.008462
[593/5000][245/535][60994] Loss_D: -0.023350 Loss_G: 0.014167 Loss_D_real: -0.012914 Loss_D_fake 0.010437
[593/5000][250/535][60995] Loss_D: -0.025004 Loss_G: 0.011460 Loss_D_real: -0.015886 Loss_D_fake 0.009117
[593/5000][255/535][60996] Loss_D: -0.025691 Loss_G: 0.014824 Loss_D_real: -0.023935 Loss_D_fake 0.001756
[593/5000][260/535][60997] Loss_D: -0.026580 Loss_G: 0.019454 Loss_D_real: -0.019917 Loss_D_fake 0.006663
[593/5000][265/535][60998] Loss_D: -0.025648 Loss_G: 0.023576 Loss_D_real: -0.025338 Loss_D_fake 0.000310
[593/5000][270/535][60999] Loss_D: -0.025635 Loss_G: 0.021152 Loss_D_real: -0.016297 Loss_D_fake 0.009338
[593/5000][275/535][61000] Loss_D: -0.024798 Loss_G: 0.001180 Loss_D_real: -0.002109 Loss_D_fake 0.022689
[593/5000][375/535][61001] Loss_D: -0.027183 Loss_G: 0.001598 Loss_D_real: -0.003041 Loss_D_fake 0.024142
[593/5000][380/535][61002] Loss_D: -0.026024 Loss_G: 0.014496 Loss_D_real: -0.009113 Loss_D_fake 0.016911
[593/5000][385/535][61003] Loss_D: -0.024814 Loss_G: 0.004982 Loss_D_real: -0.008901 Loss_D_fake 0.015913
[593/5000][390/535][61004] Loss_D: -0.023921 Loss_G: 0.021954 Loss_D_real: -0.020142 Loss_D_fake 0.003779
[593/5000][395/535][61005] Loss_D: -0.023014 Loss_G: -0.008121 Loss_D_real: 0.005528 Loss_D_fake 0.028543
[593/5000][400/535][61006] Loss_D: -0.022967 Loss_G: 0.027122 Loss_D_real: -0.030968 Loss_D_fake -0.008001
[593/5000][405/535][61007] Loss_D: -0.024253 Loss_G: 0.001354 Loss_D_real: -0.007641 Loss_D_fake 0.016612
[593/5000][410/535][61008] Loss_D: -0.024973 Loss_G: 0.006965 Loss_D_real: -0.009956 Loss_D_fake 0.015017
[593/5000][415/535][61009] Loss_D: -0.025663 Loss_G: 0.020051 Loss_D_real: -0.016918 Loss_D_fake 0.008744
[593/5000][420/535][61010] Loss_D: -0.023750 Loss_G: 0.021385 Loss_D_real: -0.024436 Loss_D_fake -0.000686
[593/5000][425/535][61011] Loss_D: -0.024538 Loss_G: 0.013306 Loss_D_real: -0.021441 Loss_D_fake 0.003096
[593/5000][430/535][61012] Loss_D: -0.024006 Loss_G: 0.026777 Loss_D_real: -0.020479 Loss_D_fake 0.003527
[593/5000][435/535][61013] Loss_D: -0.022962 Loss_G: -0.012970 Loss_D_real: 0.002186 Loss_D_fake 0.025149
[593/5000][440/535][61014] Loss_D: -0.024352 Loss_G: 0.018217 Loss_D_real: -0.018609 Loss_D_fake 0.005743
[593/5000][445/535][61015] Loss_D: -0.023850 Loss_G: 0.016057 Loss_D_real: -0.023332 Loss_D_fake 0.000518
[593/5000][450/535][61016] Loss_D: -0.025652 Loss_G: 0.010048 Loss_D_real: -0.012338 Loss_D_fake 0.013315
[593/5000][455/535][61017] Loss_D: -0.024449 Loss_G: 0.030796 Loss_D_real: -0.024577 Loss_D_fake -0.000129
[593/5000][460/535][61018] Loss_D: -0.024919 Loss_G: 0.024306 Loss_D_real: -0.029989 Loss_D_fake -0.005070
[593/5000][465/535][61019] Loss_D: -0.024194 Loss_G: -0.004513 Loss_D_real: -0.005197 Loss_D_fake 0.018997
[593/5000][470/535][61020] Loss_D: -0.024065 Loss_G: 0.018200 Loss_D_real: -0.020483 Loss_D_fake 0.003582
[593/5000][475/535][61021] Loss_D: -0.024709 Loss_G: 0.025574 Loss_D_real: -0.029602 Loss_D_fake -0.004893
[593/5000][480/535][61022] Loss_D: -0.025220 Loss_G: 0.009326 Loss_D_real: -0.009565 Loss_D_fake 0.015655
[593/5000][485/535][61023] Loss_D: -0.023059 Loss_G: 0.006349 Loss_D_real: -0.015801 Loss_D_fake 0.007257
[593/5000][490/535][61024] Loss_D: -0.024071 Loss_G: 0.034758 Loss_D_real: -0.024426 Loss_D_fake -0.000355
[593/5000][495/535][61025] Loss_D: -0.025383 Loss_G: 0.014180 Loss_D_real: -0.025511 Loss_D_fake -0.000128
[593/5000][500/535][61026] Loss_D: -0.023684 Loss_G: -0.015739 Loss_D_real: 0.005690 Loss_D_fake 0.029373
[593/5000][505/535][61027] Loss_D: -0.024511 Loss_G: 0.020742 Loss_D_real: -0.022542 Loss_D_fake 0.001968
[593/5000][510/535][61028] Loss_D: -0.024889 Loss_G: 0.011806 Loss_D_real: -0.012637 Loss_D_fake 0.012252
[593/5000][515/535][61029] Loss_D: -0.025554 Loss_G: 0.016080 Loss_D_real: -0.027148 Loss_D_fake -0.001595
[593/5000][520/535][61030] Loss_D: -0.025000 Loss_G: 0.017342 Loss_D_real: -0.018563 Loss_D_fake 0.006437
[593/5000][525/535][61031] Loss_D: -0.023890 Loss_G: 0.006450 Loss_D_real: -0.002735 Loss_D_fake 0.021155
[593/5000][530/535][61032] Loss_D: -0.024754 Loss_G: 0.030145 Loss_D_real: -0.031662 Loss_D_fake -0.006908
[593/5000][535/535][61033] Loss_D: -0.021618 Loss_G: -0.024423 Loss_D_real: 0.000926 Loss_D_fake 0.022544
[594/5000][5/535][61034] Loss_D: -0.025114 Loss_G: 0.020155 Loss_D_real: -0.011413 Loss_D_fake 0.013701
[594/5000][10/535][61035] Loss_D: -0.024362 Loss_G: 0.004574 Loss_D_real: -0.009207 Loss_D_fake 0.015154
[594/5000][15/535][61036] Loss_D: -0.025471 Loss_G: 0.024465 Loss_D_real: -0.016336 Loss_D_fake 0.009135
[594/5000][20/535][61037] Loss_D: -0.024921 Loss_G: 0.023546 Loss_D_real: -0.024304 Loss_D_fake 0.000617
[594/5000][25/535][61038] Loss_D: -0.027106 Loss_G: 0.014179 Loss_D_real: -0.003324 Loss_D_fake 0.023783
[594/5000][30/535][61039] Loss_D: -0.024849 Loss_G: 0.022073 Loss_D_real: -0.018676 Loss_D_fake 0.006173
[594/5000][35/535][61040] Loss_D: -0.024958 Loss_G: -0.006221 Loss_D_real: -0.003850 Loss_D_fake 0.021107
[594/5000][40/535][61041] Loss_D: -0.023333 Loss_G: 0.033446 Loss_D_real: -0.032923 Loss_D_fake -0.009591
[594/5000][45/535][61042] Loss_D: -0.025254 Loss_G: 0.000321 Loss_D_real: 0.000376 Loss_D_fake 0.025630
[594/5000][50/535][61043] Loss_D: -0.025117 Loss_G: 0.022808 Loss_D_real: -0.015703 Loss_D_fake 0.009414
[594/5000][55/535][61044] Loss_D: -0.025039 Loss_G: 0.004118 Loss_D_real: -0.008625 Loss_D_fake 0.016414
[594/5000][60/535][61045] Loss_D: -0.026261 Loss_G: 0.011395 Loss_D_real: -0.024670 Loss_D_fake 0.001591
[594/5000][65/535][61046] Loss_D: -0.025716 Loss_G: 0.009702 Loss_D_real: -0.015040 Loss_D_fake 0.010676
[594/5000][70/535][61047] Loss_D: -0.025984 Loss_G: 0.012131 Loss_D_real: -0.015937 Loss_D_fake 0.010047
[594/5000][75/535][61048] Loss_D: -0.025041 Loss_G: 0.020498 Loss_D_real: -0.026153 Loss_D_fake -0.001112
[594/5000][80/535][61049] Loss_D: -0.025845 Loss_G: 0.030147 Loss_D_real: -0.026487 Loss_D_fake -0.000642
[594/5000][85/535][61050] Loss_D: -0.023610 Loss_G: 0.023846 Loss_D_real: -0.010632 Loss_D_fake 0.012978
[594/5000][90/535][61051] Loss_D: -0.024289 Loss_G: 0.019779 Loss_D_real: -0.015913 Loss_D_fake 0.008376
[594/5000][95/535][61052] Loss_D: -0.023793 Loss_G: 0.005919 Loss_D_real: 0.002983 Loss_D_fake 0.026775
[594/5000][100/535][61053] Loss_D: -0.024415 Loss_G: 0.024596 Loss_D_real: -0.022495 Loss_D_fake 0.001919
[594/5000][105/535][61054] Loss_D: -0.025903 Loss_G: 0.004862 Loss_D_real: -0.012275 Loss_D_fake 0.013628
[594/5000][110/535][61055] Loss_D: -0.024887 Loss_G: 0.002251 Loss_D_real: -0.012783 Loss_D_fake 0.012104
[594/5000][115/535][61056] Loss_D: -0.024519 Loss_G: 0.022998 Loss_D_real: -0.032038 Loss_D_fake -0.007519
[594/5000][120/535][61057] Loss_D: -0.026258 Loss_G: 0.006408 Loss_D_real: -0.004734 Loss_D_fake 0.021524
[594/5000][125/535][61058] Loss_D: -0.025093 Loss_G: 0.026324 Loss_D_real: -0.022317 Loss_D_fake 0.002776
[594/5000][130/535][61059] Loss_D: -0.024614 Loss_G: 0.022271 Loss_D_real: -0.019406 Loss_D_fake 0.005208
[594/5000][135/535][61060] Loss_D: -0.024972 Loss_G: 0.005473 Loss_D_real: 0.000729 Loss_D_fake 0.025702
[594/5000][140/535][61061] Loss_D: -0.023859 Loss_G: 0.032960 Loss_D_real: -0.025011 Loss_D_fake -0.001152
[594/5000][145/535][61062] Loss_D: -0.025389 Loss_G: 0.013127 Loss_D_real: -0.009433 Loss_D_fake 0.015957
[594/5000][150/535][61063] Loss_D: -0.024621 Loss_G: 0.022079 Loss_D_real: -0.019877 Loss_D_fake 0.004744
[594/5000][155/535][61064] Loss_D: -0.024877 Loss_G: -0.005500 Loss_D_real: -0.003313 Loss_D_fake 0.021565
[594/5000][160/535][61065] Loss_D: -0.025558 Loss_G: 0.010990 Loss_D_real: -0.009923 Loss_D_fake 0.015634
[594/5000][165/535][61066] Loss_D: -0.026068 Loss_G: 0.009825 Loss_D_real: -0.022901 Loss_D_fake 0.003167
[594/5000][170/535][61067] Loss_D: -0.024938 Loss_G: 0.008340 Loss_D_real: -0.018276 Loss_D_fake 0.006662
[594/5000][175/535][61068] Loss_D: -0.025908 Loss_G: 0.014048 Loss_D_real: -0.007434 Loss_D_fake 0.018474
[594/5000][180/535][61069] Loss_D: -0.026404 Loss_G: 0.017081 Loss_D_real: -0.017249 Loss_D_fake 0.009155
[594/5000][185/535][61070] Loss_D: -0.023819 Loss_G: -0.007052 Loss_D_real: 0.003176 Loss_D_fake 0.026995
[594/5000][190/535][61071] Loss_D: -0.024209 Loss_G: 0.020466 Loss_D_real: -0.022709 Loss_D_fake 0.001500
[594/5000][195/535][61072] Loss_D: -0.025743 Loss_G: 0.005745 Loss_D_real: -0.005628 Loss_D_fake 0.020115
[594/5000][200/535][61073] Loss_D: -0.023650 Loss_G: 0.036967 Loss_D_real: -0.027855 Loss_D_fake -0.004205
[594/5000][205/535][61074] Loss_D: -0.025541 Loss_G: 0.007229 Loss_D_real: -0.007274 Loss_D_fake 0.018268
[594/5000][210/535][61075] Loss_D: -0.025039 Loss_G: 0.016845 Loss_D_real: -0.024553 Loss_D_fake 0.000487
[594/5000][215/535][61076] Loss_D: -0.026167 Loss_G: 0.014894 Loss_D_real: -0.011414 Loss_D_fake 0.014753
[594/5000][220/535][61077] Loss_D: -0.025188 Loss_G: 0.029449 Loss_D_real: -0.021763 Loss_D_fake 0.003425
[594/5000][225/535][61078] Loss_D: -0.024228 Loss_G: 0.002460 Loss_D_real: -0.006840 Loss_D_fake 0.017387
[594/5000][230/535][61079] Loss_D: -0.025015 Loss_G: 0.007935 Loss_D_real: -0.004527 Loss_D_fake 0.020488
[594/5000][235/535][61080] Loss_D: -0.023922 Loss_G: 0.029145 Loss_D_real: -0.035061 Loss_D_fake -0.011139
[594/5000][240/535][61081] Loss_D: -0.025486 Loss_G: 0.019362 Loss_D_real: -0.019893 Loss_D_fake 0.005593
[594/5000][245/535][61082] Loss_D: -0.024291 Loss_G: 0.030701 Loss_D_real: -0.029841 Loss_D_fake -0.005550
[594/5000][250/535][61083] Loss_D: -0.025256 Loss_G: 0.028179 Loss_D_real: -0.023627 Loss_D_fake 0.001628
[594/5000][255/535][61084] Loss_D: -0.025152 Loss_G: 0.027234 Loss_D_real: -0.029579 Loss_D_fake -0.004428
[594/5000][260/535][61085] Loss_D: -0.025541 Loss_G: 0.013031 Loss_D_real: -0.010762 Loss_D_fake 0.014779
[594/5000][265/535][61086] Loss_D: -0.023409 Loss_G: 0.024789 Loss_D_real: -0.016136 Loss_D_fake 0.007273
[594/5000][270/535][61087] Loss_D: -0.024769 Loss_G: 0.006563 Loss_D_real: -0.012466 Loss_D_fake 0.012304
[594/5000][275/535][61088] Loss_D: -0.025415 Loss_G: 0.015537 Loss_D_real: -0.015110 Loss_D_fake 0.010306
[594/5000][280/535][61089] Loss_D: -0.023477 Loss_G: -0.020136 Loss_D_real: 0.002779 Loss_D_fake 0.026257
[594/5000][285/535][61090] Loss_D: -0.024774 Loss_G: 0.015403 Loss_D_real: -0.025804 Loss_D_fake -0.001030
[594/5000][290/535][61091] Loss_D: -0.024259 Loss_G: 0.013694 Loss_D_real: -0.008712 Loss_D_fake 0.015547
[594/5000][295/535][61092] Loss_D: -0.024546 Loss_G: 0.018062 Loss_D_real: -0.020647 Loss_D_fake 0.003899
[594/5000][300/535][61093] Loss_D: -0.024581 Loss_G: 0.024899 Loss_D_real: -0.018557 Loss_D_fake 0.006024
[594/5000][305/535][61094] Loss_D: -0.025354 Loss_G: 0.008340 Loss_D_real: -0.014903 Loss_D_fake 0.010452
[594/5000][310/535][61095] Loss_D: -0.025246 Loss_G: 0.019499 Loss_D_real: -0.026868 Loss_D_fake -0.001622
[594/5000][315/535][61096] Loss_D: -0.025498 Loss_G: -0.000503 Loss_D_real: -0.001440 Loss_D_fake 0.024058
[594/5000][320/535][61097] Loss_D: -0.024796 Loss_G: 0.024597 Loss_D_real: -0.021317 Loss_D_fake 0.003480
[594/5000][325/535][61098] Loss_D: -0.025661 Loss_G: -0.002800 Loss_D_real: -0.004677 Loss_D_fake 0.020985
[594/5000][330/535][61099] Loss_D: -0.026487 Loss_G: 0.019944 Loss_D_real: -0.029590 Loss_D_fake -0.003103
[594/5000][335/535][61100] Loss_D: -0.026043 Loss_G: 0.020213 Loss_D_real: -0.009724 Loss_D_fake 0.016318
[594/5000][340/535][61101] Loss_D: -0.026565 Loss_G: 0.024767 Loss_D_real: -0.021910 Loss_D_fake 0.004655
[594/5000][345/535][61102] Loss_D: -0.025994 Loss_G: 0.001084 Loss_D_real: -0.011187 Loss_D_fake 0.014806
[594/5000][350/535][61103] Loss_D: -0.025222 Loss_G: 0.013788 Loss_D_real: -0.020069 Loss_D_fake 0.005153
[594/5000][355/535][61104] Loss_D: -0.026398 Loss_G: -0.004261 Loss_D_real: -0.011707 Loss_D_fake 0.014691
[594/5000][360/535][61105] Loss_D: -0.023727 Loss_G: -0.007088 Loss_D_real: 0.001467 Loss_D_fake 0.025194
[594/5000][365/535][61106] Loss_D: -0.024423 Loss_G: 0.019026 Loss_D_real: -0.026285 Loss_D_fake -0.001862
[594/5000][370/535][61107] Loss_D: -0.025382 Loss_G: 0.015941 Loss_D_real: -0.009476 Loss_D_fake 0.015906
[594/5000][375/535][61108] Loss_D: -0.025157 Loss_G: 0.009847 Loss_D_real: -0.007158 Loss_D_fake 0.017999
[594/5000][380/535][61109] Loss_D: -0.025335 Loss_G: 0.011566 Loss_D_real: -0.021451 Loss_D_fake 0.003884
[594/5000][385/535][61110] Loss_D: -0.027745 Loss_G: 0.019566 Loss_D_real: -0.009866 Loss_D_fake 0.017879
[594/5000][390/535][61111] Loss_D: -0.024529 Loss_G: 0.013729 Loss_D_real: -0.015143 Loss_D_fake 0.009386
[594/5000][395/535][61112] Loss_D: -0.024555 Loss_G: 0.015400 Loss_D_real: -0.008099 Loss_D_fake 0.016455
[594/5000][400/535][61113] Loss_D: -0.025292 Loss_G: -0.002366 Loss_D_real: 0.001722 Loss_D_fake 0.027014
[594/5000][405/535][61114] Loss_D: -0.024642 Loss_G: 0.034313 Loss_D_real: -0.027525 Loss_D_fake -0.002883
[594/5000][410/535][61115] Loss_D: -0.025345 Loss_G: 0.006919 Loss_D_real: -0.000758 Loss_D_fake 0.024587
[594/5000][415/535][61116] Loss_D: -0.025769 Loss_G: 0.008530 Loss_D_real: -0.004210 Loss_D_fake 0.021559
[594/5000][420/535][61117] Loss_D: -0.026135 Loss_G: 0.009932 Loss_D_real: -0.011993 Loss_D_fake 0.014142
[594/5000][425/535][61118] Loss_D: -0.026291 Loss_G: 0.015115 Loss_D_real: -0.010658 Loss_D_fake 0.015633
[594/5000][430/535][61119] Loss_D: -0.025247 Loss_G: 0.023983 Loss_D_real: -0.020181 Loss_D_fake 0.005066
[594/5000][435/535][61120] Loss_D: -0.025737 Loss_G: -0.013217 Loss_D_real: 0.003320 Loss_D_fake 0.029057
[594/5000][440/535][61121] Loss_D: -0.024282 Loss_G: 0.004100 Loss_D_real: -0.011341 Loss_D_fake 0.012941
[594/5000][445/535][61122] Loss_D: -0.024066 Loss_G: 0.009537 Loss_D_real: -0.015349 Loss_D_fake 0.008718
[594/5000][450/535][61123] Loss_D: -0.024737 Loss_G: 0.031918 Loss_D_real: -0.031704 Loss_D_fake -0.006968
[594/5000][455/535][61124] Loss_D: -0.026305 Loss_G: 0.012427 Loss_D_real: -0.012286 Loss_D_fake 0.014019
[594/5000][460/535][61125] Loss_D: -0.026020 Loss_G: 0.018122 Loss_D_real: -0.014159 Loss_D_fake 0.011862
[594/5000][465/535][61126] Loss_D: -0.024489 Loss_G: 0.022724 Loss_D_real: -0.018005 Loss_D_fake 0.006484
[594/5000][470/535][61127] Loss_D: -0.025562 Loss_G: 0.012204 Loss_D_real: -0.013541 Loss_D_fake 0.012021
[594/5000][475/535][61128] Loss_D: -0.026699 Loss_G: 0.013912 Loss_D_real: -0.005895 Loss_D_fake 0.020804
[594/5000][480/535][61129] Loss_D: -0.025260 Loss_G: 0.015530 Loss_D_real: -0.023579 Loss_D_fake 0.001682
[594/5000][485/535][61130] Loss_D: -0.026754 Loss_G: 0.002111 Loss_D_real: -0.005355 Loss_D_fake 0.021399
[594/5000][490/535][61131] Loss_D: -0.023145 Loss_G: 0.028718 Loss_D_real: -0.031430 Loss_D_fake -0.008285
[594/5000][495/535][61132] Loss_D: -0.025146 Loss_G: 0.015393 Loss_D_real: -0.017587 Loss_D_fake 0.007559
[594/5000][500/535][61133] Loss_D: -0.024938 Loss_G: 0.008599 Loss_D_real: -0.016249 Loss_D_fake 0.008688
[594/5000][505/535][61134] Loss_D: -0.025240 Loss_G: 0.002488 Loss_D_real: -0.019803 Loss_D_fake 0.005437
[594/5000][510/535][61135] Loss_D: -0.023846 Loss_G: 0.018179 Loss_D_real: -0.017122 Loss_D_fake 0.006725
[594/5000][515/535][61136] Loss_D: -0.025013 Loss_G: 0.015066 Loss_D_real: -0.026299 Loss_D_fake -0.001285
[594/5000][520/535][61137] Loss_D: -0.026300 Loss_G: 0.022536 Loss_D_real: -0.015565 Loss_D_fake 0.010735
[594/5000][525/535][61138] Loss_D: -0.025449 Loss_G: 0.008779 Loss_D_real: -0.017049 Loss_D_fake 0.008400
[594/5000][530/535][61139] Loss_D: -0.024199 Loss_G: 0.032896 Loss_D_real: -0.024913 Loss_D_fake -0.000713
[594/5000][535/535][61140] Loss_D: -0.026209 Loss_G: 0.015818 Loss_D_real: -0.004943 Loss_D_fake 0.021266
[595/5000][5/535][61141] Loss_D: -0.024815 Loss_G: 0.014000 Loss_D_real: -0.012199 Loss_D_fake 0.012615
[595/5000][10/535][61142] Loss_D: -0.025633 Loss_G: 0.029891 Loss_D_real: -0.027375 Loss_D_fake -0.001742
[595/5000][15/535][61143] Loss_D: -0.025561 Loss_G: -0.008341 Loss_D_real: 0.000843 Loss_D_fake 0.026404
[595/5000][20/535][61144] Loss_D: -0.023193 Loss_G: 0.025559 Loss_D_real: -0.031552 Loss_D_fake -0.008359
[595/5000][25/535][61145] Loss_D: -0.024627 Loss_G: 0.012145 Loss_D_real: -0.015392 Loss_D_fake 0.009235
[595/5000][30/535][61146] Loss_D: -0.024426 Loss_G: -0.003691 Loss_D_real: -0.015389 Loss_D_fake 0.009037
[595/5000][35/535][61147] Loss_D: -0.025626 Loss_G: -0.000299 Loss_D_real: -0.004626 Loss_D_fake 0.021001
[595/5000][40/535][61148] Loss_D: -0.026092 Loss_G: 0.011204 Loss_D_real: -0.013625 Loss_D_fake 0.012467
[595/5000][45/535][61149] Loss_D: -0.025112 Loss_G: 0.035086 Loss_D_real: -0.032912 Loss_D_fake -0.007799
[595/5000][50/535][61150] Loss_D: -0.025451 Loss_G: 0.017048 Loss_D_real: -0.009580 Loss_D_fake 0.015870
[595/5000][55/535][61151] Loss_D: -0.025413 Loss_G: 0.027286 Loss_D_real: -0.028932 Loss_D_fake -0.003520
[595/5000][60/535][61152] Loss_D: -0.025687 Loss_G: 0.012863 Loss_D_real: -0.019029 Loss_D_fake 0.006658
[595/5000][65/535][61153] Loss_D: -0.024831 Loss_G: 0.019606 Loss_D_real: -0.008669 Loss_D_fake 0.016162
[595/5000][70/535][61154] Loss_D: -0.025328 Loss_G: 0.005474 Loss_D_real: -0.012745 Loss_D_fake 0.012584
[595/5000][75/535][61155] Loss_D: -0.025614 Loss_G: -0.000219 Loss_D_real: -0.006573 Loss_D_fake 0.019041
[595/5000][80/535][61156] Loss_D: -0.026271 Loss_G: 0.018840 Loss_D_real: -0.017874 Loss_D_fake 0.008398
[595/5000][85/535][61157] Loss_D: -0.023991 Loss_G: -0.009098 Loss_D_real: 0.009196 Loss_D_fake 0.033187
[595/5000][90/535][61158] Loss_D: -0.023824 Loss_G: 0.034505 Loss_D_real: -0.028670 Loss_D_fake -0.004846
[595/5000][95/535][61159] Loss_D: -0.025942 Loss_G: 0.007927 Loss_D_real: -0.013024 Loss_D_fake 0.012918
[595/5000][100/535][61160] Loss_D: -0.024613 Loss_G: 0.026523 Loss_D_real: -0.027566 Loss_D_fake -0.002953
[595/5000][105/535][61161] Loss_D: -0.026419 Loss_G: 0.000837 Loss_D_real: -0.008318 Loss_D_fake 0.018101
[595/5000][110/535][61162] Loss_D: -0.025356 Loss_G: 0.032961 Loss_D_real: -0.025489 Loss_D_fake -0.000133
[595/5000][115/535][61163] Loss_D: -0.025013 Loss_G: 0.001329 Loss_D_real: -0.007888 Loss_D_fake 0.017126
[595/5000][120/535][61164] Loss_D: -0.021304 Loss_G: 0.033486 Loss_D_real: -0.035229 Loss_D_fake -0.013925
[595/5000][125/535][61165] Loss_D: -0.024961 Loss_G: 0.015883 Loss_D_real: -0.027026 Loss_D_fake -0.002065
[595/5000][130/535][61166] Loss_D: -0.024413 Loss_G: 0.018623 Loss_D_real: -0.017867 Loss_D_fake 0.006546
[595/5000][135/535][61167] Loss_D: -0.025102 Loss_G: 0.020244 Loss_D_real: -0.017262 Loss_D_fake 0.007839
[595/5000][140/535][61168] Loss_D: -0.026182 Loss_G: 0.007232 Loss_D_real: -0.011774 Loss_D_fake 0.014408
[595/5000][145/535][61169] Loss_D: -0.024837 Loss_G: -0.019204 Loss_D_real: 0.006914 Loss_D_fake 0.031750
[595/5000][150/535][61170] Loss_D: -0.021323 Loss_G: 0.026598 Loss_D_real: -0.025062 Loss_D_fake -0.003739
[595/5000][155/535][61171] Loss_D: -0.024359 Loss_G: 0.000022 Loss_D_real: -0.000568 Loss_D_fake 0.023791
[595/5000][160/535][61172] Loss_D: -0.023299 Loss_G: 0.024422 Loss_D_real: -0.019427 Loss_D_fake 0.003873
[595/5000][165/535][61173] Loss_D: -0.023486 Loss_G: 0.023381 Loss_D_real: -0.020385 Loss_D_fake 0.003101
[595/5000][170/535][61174] Loss_D: -0.025796 Loss_G: 0.004201 Loss_D_real: -0.010189 Loss_D_fake 0.015607
[595/5000][175/535][61175] Loss_D: -0.025287 Loss_G: 0.023713 Loss_D_real: -0.018611 Loss_D_fake 0.006676
[595/5000][180/535][61176] Loss_D: -0.027302 Loss_G: 0.013040 Loss_D_real: -0.018064 Loss_D_fake 0.009238
[595/5000][185/535][61177] Loss_D: -0.025223 Loss_G: -0.005576 Loss_D_real: -0.006769 Loss_D_fake 0.018455
[595/5000][190/535][61178] Loss_D: -0.026095 Loss_G: 0.023782 Loss_D_real: -0.021641 Loss_D_fake 0.004454
[595/5000][195/535][61179] Loss_D: -0.025120 Loss_G: 0.005503 Loss_D_real: -0.009729 Loss_D_fake 0.015391
[595/5000][200/535][61180] Loss_D: -0.025173 Loss_G: -0.002627 Loss_D_real: 0.000590 Loss_D_fake 0.025763
[595/5000][205/535][61181] Loss_D: -0.024554 Loss_G: 0.026399 Loss_D_real: -0.022281 Loss_D_fake 0.002273
[595/5000][210/535][61182] Loss_D: -0.026340 Loss_G: 0.011712 Loss_D_real: -0.007913 Loss_D_fake 0.018426
[595/5000][215/535][61183] Loss_D: -0.025759 Loss_G: -0.003688 Loss_D_real: -0.006165 Loss_D_fake 0.019593
[595/5000][220/535][61184] Loss_D: -0.024379 Loss_G: 0.038785 Loss_D_real: -0.030715 Loss_D_fake -0.006336
[595/5000][225/535][61185] Loss_D: -0.024733 Loss_G: -0.004422 Loss_D_real: 0.001814 Loss_D_fake 0.026547
[595/5000][230/535][61186] Loss_D: -0.024521 Loss_G: 0.013393 Loss_D_real: -0.016350 Loss_D_fake 0.008171
[595/5000][235/535][61187] Loss_D: -0.024427 Loss_G: 0.025926 Loss_D_real: -0.032710 Loss_D_fake -0.008283
[595/5000][240/535][61188] Loss_D: -0.025777 Loss_G: 0.015668 Loss_D_real: -0.009667 Loss_D_fake 0.016110
[595/5000][245/535][61189] Loss_D: -0.023311 Loss_G: 0.027231 Loss_D_real: -0.032373 Loss_D_fake -0.009062
[595/5000][250/535][61190] Loss_D: -0.026616 Loss_G: -0.009483 Loss_D_real: -0.001572 Loss_D_fake 0.025044
[595/5000][255/535][61191] Loss_D: -0.024689 Loss_G: 0.020548 Loss_D_real: -0.014081 Loss_D_fake 0.010608
[595/5000][260/535][61192] Loss_D: -0.026508 Loss_G: 0.026303 Loss_D_real: -0.020383 Loss_D_fake 0.006125
[595/5000][265/535][61193] Loss_D: -0.024975 Loss_G: 0.012869 Loss_D_real: -0.021746 Loss_D_fake 0.003229
[595/5000][270/535][61194] Loss_D: -0.025870 Loss_G: 0.009719 Loss_D_real: -0.009924 Loss_D_fake 0.015945
[595/5000][275/535][61195] Loss_D: -0.025319 Loss_G: 0.018254 Loss_D_real: -0.016849 Loss_D_fake 0.008469
[595/5000][280/535][61196] Loss_D: -0.025238 Loss_G: 0.019770 Loss_D_real: -0.019304 Loss_D_fake 0.005934
[595/5000][285/535][61197] Loss_D: -0.025784 Loss_G: 0.017630 Loss_D_real: -0.008011 Loss_D_fake 0.017773
[595/5000][290/535][61198] Loss_D: -0.024475 Loss_G: 0.036155 Loss_D_real: -0.028104 Loss_D_fake -0.003628
[595/5000][295/535][61199] Loss_D: -0.025185 Loss_G: 0.007279 Loss_D_real: -0.007067 Loss_D_fake 0.018117
[595/5000][300/535][61200] Loss_D: -0.023184 Loss_G: 0.039817 Loss_D_real: -0.035362 Loss_D_fake -0.012178
[595/5000][305/535][61201] Loss_D: -0.024483 Loss_G: -0.001483 Loss_D_real: -0.003574 Loss_D_fake 0.020909
[595/5000][310/535][61202] Loss_D: -0.023382 Loss_G: 0.023264 Loss_D_real: -0.025323 Loss_D_fake -0.001941
[595/5000][315/535][61203] Loss_D: -0.025544 Loss_G: 0.012783 Loss_D_real: -0.014432 Loss_D_fake 0.011112
[595/5000][320/535][61204] Loss_D: -0.025416 Loss_G: 0.000574 Loss_D_real: -0.012682 Loss_D_fake 0.012735
[595/5000][325/535][61205] Loss_D: -0.023914 Loss_G: 0.024178 Loss_D_real: -0.017143 Loss_D_fake 0.006771
[595/5000][330/535][61206] Loss_D: -0.025012 Loss_G: 0.012058 Loss_D_real: -0.012977 Loss_D_fake 0.012035
[595/5000][335/535][61207] Loss_D: -0.024844 Loss_G: 0.018693 Loss_D_real: -0.023467 Loss_D_fake 0.001377
[595/5000][340/535][61208] Loss_D: -0.024588 Loss_G: 0.016812 Loss_D_real: -0.025459 Loss_D_fake -0.000872
[595/5000][345/535][61209] Loss_D: -0.025053 Loss_G: 0.024426 Loss_D_real: -0.016171 Loss_D_fake 0.008882
[595/5000][350/535][61210] Loss_D: -0.025329 Loss_G: 0.017934 Loss_D_real: -0.013020 Loss_D_fake 0.012310
[595/5000][355/535][61211] Loss_D: -0.025870 Loss_G: 0.010528 Loss_D_real: -0.018907 Loss_D_fake 0.006964
[595/5000][360/535][61212] Loss_D: -0.025546 Loss_G: 0.007065 Loss_D_real: -0.020713 Loss_D_fake 0.004833
[595/5000][365/535][61213] Loss_D: -0.025948 Loss_G: 0.007059 Loss_D_real: -0.008046 Loss_D_fake 0.017902
[595/5000][370/535][61214] Loss_D: -0.025762 Loss_G: 0.013378 Loss_D_real: -0.010081 Loss_D_fake 0.015680
[595/5000][375/535][61215] Loss_D: -0.026346 Loss_G: 0.004200 Loss_D_real: -0.008068 Loss_D_fake 0.018277
[595/5000][380/535][61216] Loss_D: -0.025166 Loss_G: 0.014269 Loss_D_real: -0.007510 Loss_D_fake 0.017656
[595/5000][385/535][61217] Loss_D: -0.025351 Loss_G: 0.018982 Loss_D_real: -0.020882 Loss_D_fake 0.004469
[595/5000][390/535][61218] Loss_D: -0.025790 Loss_G: 0.000706 Loss_D_real: -0.004492 Loss_D_fake 0.021298
[595/5000][395/535][61219] Loss_D: -0.026605 Loss_G: 0.020304 Loss_D_real: -0.011386 Loss_D_fake 0.015219
[595/5000][400/535][61220] Loss_D: -0.025237 Loss_G: 0.018206 Loss_D_real: -0.019550 Loss_D_fake 0.005687
[595/5000][405/535][61221] Loss_D: -0.025413 Loss_G: 0.034547 Loss_D_real: -0.033821 Loss_D_fake -0.008408
[595/5000][410/535][61222] Loss_D: -0.025127 Loss_G: -0.013815 Loss_D_real: -0.001746 Loss_D_fake 0.023382
[595/5000][415/535][61223] Loss_D: -0.024508 Loss_G: 0.029516 Loss_D_real: -0.024502 Loss_D_fake 0.000006
[595/5000][420/535][61224] Loss_D: -0.025749 Loss_G: -0.000669 Loss_D_real: -0.012998 Loss_D_fake 0.012751
[595/5000][425/535][61225] Loss_D: -0.023510 Loss_G: 0.011893 Loss_D_real: -0.014672 Loss_D_fake 0.008838
[595/5000][430/535][61226] Loss_D: -0.025238 Loss_G: 0.013757 Loss_D_real: -0.011514 Loss_D_fake 0.013724
[595/5000][435/535][61227] Loss_D: -0.024508 Loss_G: 0.001300 Loss_D_real: -0.005718 Loss_D_fake 0.018790
[595/5000][440/535][61228] Loss_D: -0.025413 Loss_G: 0.007668 Loss_D_real: -0.015960 Loss_D_fake 0.009453
[595/5000][445/535][61229] Loss_D: -0.025093 Loss_G: 0.030834 Loss_D_real: -0.022504 Loss_D_fake 0.002589
[595/5000][450/535][61230] Loss_D: -0.025070 Loss_G: 0.009476 Loss_D_real: -0.008900 Loss_D_fake 0.016170
[595/5000][455/535][61231] Loss_D: -0.024167 Loss_G: 0.013317 Loss_D_real: -0.019382 Loss_D_fake 0.004784
[595/5000][460/535][61232] Loss_D: -0.024538 Loss_G: 0.018740 Loss_D_real: -0.010298 Loss_D_fake 0.014240
[595/5000][465/535][61233] Loss_D: -0.024051 Loss_G: -0.004262 Loss_D_real: 0.002509 Loss_D_fake 0.026560
[595/5000][470/535][61234] Loss_D: -0.023603 Loss_G: 0.036503 Loss_D_real: -0.024510 Loss_D_fake -0.000907
[595/5000][475/535][61235] Loss_D: -0.025061 Loss_G: 0.007774 Loss_D_real: -0.012984 Loss_D_fake 0.012077
[595/5000][480/535][61236] Loss_D: -0.023326 Loss_G: 0.011819 Loss_D_real: -0.023860 Loss_D_fake -0.000534
[595/5000][485/535][61237] Loss_D: -0.023890 Loss_G: -0.004696 Loss_D_real: -0.008364 Loss_D_fake 0.015526
[595/5000][490/535][61238] Loss_D: -0.024431 Loss_G: 0.012662 Loss_D_real: -0.020575 Loss_D_fake 0.003856
[595/5000][495/535][61239] Loss_D: -0.025452 Loss_G: 0.021500 Loss_D_real: -0.027061 Loss_D_fake -0.001609
[595/5000][500/535][61240] Loss_D: -0.026069 Loss_G: 0.016196 Loss_D_real: -0.007503 Loss_D_fake 0.018566
[595/5000][505/535][61241] Loss_D: -0.023853 Loss_G: -0.011090 Loss_D_real: 0.009968 Loss_D_fake 0.033821
[595/5000][510/535][61242] Loss_D: -0.025552 Loss_G: 0.006163 Loss_D_real: -0.015865 Loss_D_fake 0.009687
[595/5000][515/535][61243] Loss_D: -0.026911 Loss_G: 0.017103 Loss_D_real: -0.012745 Loss_D_fake 0.014166
[595/5000][520/535][61244] Loss_D: -0.025477 Loss_G: 0.019893 Loss_D_real: -0.021312 Loss_D_fake 0.004164
[595/5000][525/535][61245] Loss_D: -0.024185 Loss_G: 0.012410 Loss_D_real: -0.011763 Loss_D_fake 0.012422
[595/5000][530/535][61246] Loss_D: -0.025967 Loss_G: 0.007700 Loss_D_real: 0.000476 Loss_D_fake 0.026443
[595/5000][535/535][61247] Loss_D: -0.022239 Loss_G: -0.003758 Loss_D_real: -0.008638 Loss_D_fake 0.013602
[596/5000][5/535][61248] Loss_D: -0.024347 Loss_G: 0.006895 Loss_D_real: -0.008232 Loss_D_fake 0.016115
[596/5000][10/535][61249] Loss_D: -0.026696 Loss_G: 0.031398 Loss_D_real: -0.024009 Loss_D_fake 0.002687
[596/5000][15/535][61250] Loss_D: -0.025954 Loss_G: 0.014348 Loss_D_real: -0.014485 Loss_D_fake 0.011469
[596/5000][20/535][61251] Loss_D: -0.026676 Loss_G: 0.032070 Loss_D_real: -0.022145 Loss_D_fake 0.004531
[596/5000][25/535][61252] Loss_D: -0.024360 Loss_G: 0.012786 Loss_D_real: -0.013529 Loss_D_fake 0.010831
[596/5000][30/535][61253] Loss_D: -0.024534 Loss_G: 0.013230 Loss_D_real: -0.015756 Loss_D_fake 0.008778
[596/5000][35/535][61254] Loss_D: -0.026775 Loss_G: 0.027839 Loss_D_real: -0.031532 Loss_D_fake -0.004757
[596/5000][40/535][61255] Loss_D: -0.026619 Loss_G: -0.008183 Loss_D_real: -0.004166 Loss_D_fake 0.022453
[596/5000][45/535][61256] Loss_D: -0.024369 Loss_G: 0.027520 Loss_D_real: -0.031780 Loss_D_fake -0.007411
[596/5000][50/535][61257] Loss_D: -0.026583 Loss_G: 0.020512 Loss_D_real: -0.011675 Loss_D_fake 0.014908
[596/5000][55/535][61258] Loss_D: -0.024554 Loss_G: -0.008554 Loss_D_real: 0.000603 Loss_D_fake 0.025157
[596/5000][60/535][61259] Loss_D: -0.024540 Loss_G: 0.015262 Loss_D_real: -0.017447 Loss_D_fake 0.007092
[596/5000][65/535][61260] Loss_D: -0.026575 Loss_G: 0.026304 Loss_D_real: -0.021709 Loss_D_fake 0.004866
[596/5000][70/535][61261] Loss_D: -0.025266 Loss_G: 0.016256 Loss_D_real: -0.010450 Loss_D_fake 0.014816
[596/5000][75/535][61262] Loss_D: -0.025968 Loss_G: 0.012634 Loss_D_real: -0.017741 Loss_D_fake 0.008227
[596/5000][80/535][61263] Loss_D: -0.024902 Loss_G: 0.020502 Loss_D_real: -0.017111 Loss_D_fake 0.007791
[596/5000][85/535][61264] Loss_D: -0.024442 Loss_G: 0.019772 Loss_D_real: -0.022060 Loss_D_fake 0.002382
[596/5000][90/535][61265] Loss_D: -0.024272 Loss_G: 0.001787 Loss_D_real: -0.012649 Loss_D_fake 0.011623
[596/5000][95/535][61266] Loss_D: -0.025499 Loss_G: 0.014776 Loss_D_real: -0.014874 Loss_D_fake 0.010625
[596/5000][100/535][61267] Loss_D: -0.024706 Loss_G: 0.013660 Loss_D_real: -0.019861 Loss_D_fake 0.004845
[596/5000][105/535][61268] Loss_D: -0.023030 Loss_G: 0.029480 Loss_D_real: -0.030762 Loss_D_fake -0.007732
[596/5000][110/535][61269] Loss_D: -0.024882 Loss_G: 0.025832 Loss_D_real: -0.022878 Loss_D_fake 0.002004
[596/5000][115/535][61270] Loss_D: -0.025841 Loss_G: 0.011455 Loss_D_real: -0.008469 Loss_D_fake 0.017373
[596/5000][120/535][61271] Loss_D: -0.025880 Loss_G: 0.017460 Loss_D_real: -0.013406 Loss_D_fake 0.012474
[596/5000][125/535][61272] Loss_D: -0.025924 Loss_G: 0.016929 Loss_D_real: -0.010541 Loss_D_fake 0.015383
[596/5000][130/535][61273] Loss_D: -0.023887 Loss_G: 0.031982 Loss_D_real: -0.023715 Loss_D_fake 0.000172
[596/5000][135/535][61274] Loss_D: -0.025233 Loss_G: 0.011753 Loss_D_real: -0.016641 Loss_D_fake 0.008592
[596/5000][140/535][61275] Loss_D: -0.025267 Loss_G: 0.015972 Loss_D_real: -0.008517 Loss_D_fake 0.016750
[596/5000][145/535][61276] Loss_D: -0.025349 Loss_G: 0.021540 Loss_D_real: -0.023919 Loss_D_fake 0.001430
[596/5000][150/535][61277] Loss_D: -0.025073 Loss_G: 0.012408 Loss_D_real: -0.005231 Loss_D_fake 0.019842
[596/5000][155/535][61278] Loss_D: -0.023454 Loss_G: 0.030436 Loss_D_real: -0.036695 Loss_D_fake -0.013240
[596/5000][160/535][61279] Loss_D: -0.025057 Loss_G: 0.031030 Loss_D_real: -0.019345 Loss_D_fake 0.005712
[596/5000][165/535][61280] Loss_D: -0.027438 Loss_G: -0.012373 Loss_D_real: -0.006443 Loss_D_fake 0.020995
[596/5000][170/535][61281] Loss_D: -0.023475 Loss_G: 0.031211 Loss_D_real: -0.039461 Loss_D_fake -0.015986
[596/5000][175/535][61282] Loss_D: -0.025922 Loss_G: 0.018057 Loss_D_real: -0.013795 Loss_D_fake 0.012127
[596/5000][180/535][61283] Loss_D: -0.026212 Loss_G: 0.010239 Loss_D_real: -0.004912 Loss_D_fake 0.021300
[596/5000][185/535][61284] Loss_D: -0.025450 Loss_G: 0.021232 Loss_D_real: -0.018494 Loss_D_fake 0.006956
[596/5000][190/535][61285] Loss_D: -0.023495 Loss_G: 0.031295 Loss_D_real: -0.031680 Loss_D_fake -0.008185
[596/5000][195/535][61286] Loss_D: -0.025280 Loss_G: 0.003896 Loss_D_real: -0.014788 Loss_D_fake 0.010492
[596/5000][200/535][61287] Loss_D: -0.025022 Loss_G: 0.001571 Loss_D_real: -0.023042 Loss_D_fake 0.001980
[596/5000][205/535][61288] Loss_D: -0.026557 Loss_G: 0.010942 Loss_D_real: -0.009851 Loss_D_fake 0.016706
[596/5000][210/535][61289] Loss_D: -0.027027 Loss_G: 0.016268 Loss_D_real: -0.020798 Loss_D_fake 0.006229
[596/5000][215/535][61290] Loss_D: -0.024277 Loss_G: 0.028553 Loss_D_real: -0.022444 Loss_D_fake 0.001833
[596/5000][220/535][61291] Loss_D: -0.025370 Loss_G: 0.029776 Loss_D_real: -0.020343 Loss_D_fake 0.005027
[596/5000][225/535][61292] Loss_D: -0.025809 Loss_G: -0.006099 Loss_D_real: 0.005258 Loss_D_fake 0.031067
[596/5000][230/535][61293] Loss_D: -0.023912 Loss_G: 0.004640 Loss_D_real: -0.017492 Loss_D_fake 0.006420
[596/5000][235/535][61294] Loss_D: -0.025784 Loss_G: 0.027447 Loss_D_real: -0.014534 Loss_D_fake 0.011250
[596/5000][240/535][61295] Loss_D: -0.024744 Loss_G: -0.003049 Loss_D_real: -0.000185 Loss_D_fake 0.024559
[596/5000][245/535][61296] Loss_D: -0.025366 Loss_G: 0.017418 Loss_D_real: -0.021753 Loss_D_fake 0.003612
[596/5000][250/535][61297] Loss_D: -0.024111 Loss_G: 0.007876 Loss_D_real: -0.008451 Loss_D_fake 0.015660
[596/5000][255/535][61298] Loss_D: -0.025179 Loss_G: 0.011047 Loss_D_real: -0.019461 Loss_D_fake 0.005718
[596/5000][260/535][61299] Loss_D: -0.026663 Loss_G: 0.005853 Loss_D_real: -0.009720 Loss_D_fake 0.016943
[596/5000][265/535][61300] Loss_D: -0.025413 Loss_G: 0.019315 Loss_D_real: -0.026445 Loss_D_fake -0.001032
[596/5000][270/535][61301] Loss_D: -0.025944 Loss_G: -0.000932 Loss_D_real: -0.008920 Loss_D_fake 0.017024
[596/5000][275/535][61302] Loss_D: -0.026158 Loss_G: 0.016540 Loss_D_real: -0.012536 Loss_D_fake 0.013622
[596/5000][280/535][61303] Loss_D: -0.024332 Loss_G: 0.022676 Loss_D_real: -0.024754 Loss_D_fake -0.000422
[596/5000][285/535][61304] Loss_D: -0.024530 Loss_G: 0.027368 Loss_D_real: -0.030816 Loss_D_fake -0.006286
[596/5000][290/535][61305] Loss_D: -0.024575 Loss_G: 0.033910 Loss_D_real: -0.030126 Loss_D_fake -0.005551
[596/5000][295/535][61306] Loss_D: -0.025283 Loss_G: 0.017052 Loss_D_real: -0.028775 Loss_D_fake -0.003492
[596/5000][300/535][61307] Loss_D: -0.025637 Loss_G: 0.011401 Loss_D_real: -0.013243 Loss_D_fake 0.012395
[596/5000][305/535][61308] Loss_D: -0.023795 Loss_G: 0.007653 Loss_D_real: -0.016999 Loss_D_fake 0.006796
[596/5000][310/535][61309] Loss_D: -0.023760 Loss_G: 0.030299 Loss_D_real: -0.035238 Loss_D_fake -0.011478
[596/5000][315/535][61310] Loss_D: -0.025240 Loss_G: 0.029746 Loss_D_real: -0.021774 Loss_D_fake 0.003466
[596/5000][320/535][61311] Loss_D: -0.023736 Loss_G: -0.008755 Loss_D_real: 0.008206 Loss_D_fake 0.031941
[596/5000][325/535][61312] Loss_D: -0.025023 Loss_G: 0.016338 Loss_D_real: -0.021103 Loss_D_fake 0.003920
[596/5000][330/535][61313] Loss_D: -0.024789 Loss_G: 0.018177 Loss_D_real: -0.014092 Loss_D_fake 0.010698
[596/5000][335/535][61314] Loss_D: -0.025733 Loss_G: -0.009218 Loss_D_real: -0.004597 Loss_D_fake 0.021136
[596/5000][340/535][61315] Loss_D: -0.025318 Loss_G: 0.025312 Loss_D_real: -0.027187 Loss_D_fake -0.001870
[596/5000][345/535][61316] Loss_D: -0.026822 Loss_G: 0.027588 Loss_D_real: -0.016589 Loss_D_fake 0.010233
[596/5000][350/535][61317] Loss_D: -0.024298 Loss_G: -0.008718 Loss_D_real: 0.003519 Loss_D_fake 0.027817
[596/5000][355/535][61318] Loss_D: -0.025848 Loss_G: 0.031003 Loss_D_real: -0.020325 Loss_D_fake 0.005523
[596/5000][360/535][61319] Loss_D: -0.025821 Loss_G: 0.008025 Loss_D_real: -0.009429 Loss_D_fake 0.016393
[596/5000][365/535][61320] Loss_D: -0.025942 Loss_G: 0.018847 Loss_D_real: -0.023418 Loss_D_fake 0.002524
[596/5000][370/535][61321] Loss_D: -0.024475 Loss_G: 0.020574 Loss_D_real: -0.020970 Loss_D_fake 0.003505
[596/5000][375/535][61322] Loss_D: -0.025066 Loss_G: 0.006113 Loss_D_real: -0.009385 Loss_D_fake 0.015681
[596/5000][380/535][61323] Loss_D: -0.025941 Loss_G: 0.024785 Loss_D_real: -0.022765 Loss_D_fake 0.003176
[596/5000][385/535][61324] Loss_D: -0.024979 Loss_G: -0.007416 Loss_D_real: -0.002208 Loss_D_fake 0.022770
[596/5000][390/535][61325] Loss_D: -0.024219 Loss_G: 0.011477 Loss_D_real: -0.010013 Loss_D_fake 0.014206
[596/5000][395/535][61326] Loss_D: -0.025660 Loss_G: 0.005997 Loss_D_real: -0.018941 Loss_D_fake 0.006719
[596/5000][400/535][61327] Loss_D: -0.023695 Loss_G: 0.011055 Loss_D_real: -0.003084 Loss_D_fake 0.020612
[596/5000][405/535][61328] Loss_D: -0.026004 Loss_G: 0.020865 Loss_D_real: -0.021128 Loss_D_fake 0.004876
[596/5000][410/535][61329] Loss_D: -0.025125 Loss_G: 0.023172 Loss_D_real: -0.017362 Loss_D_fake 0.007762
[596/5000][415/535][61330] Loss_D: -0.023065 Loss_G: -0.009799 Loss_D_real: 0.005196 Loss_D_fake 0.028261
[596/5000][420/535][61331] Loss_D: -0.023821 Loss_G: 0.013805 Loss_D_real: -0.019390 Loss_D_fake 0.004431
[596/5000][425/535][61332] Loss_D: -0.024316 Loss_G: 0.034571 Loss_D_real: -0.029956 Loss_D_fake -0.005641
[596/5000][430/535][61333] Loss_D: -0.025590 Loss_G: 0.026126 Loss_D_real: -0.020735 Loss_D_fake 0.004855
[596/5000][435/535][61334] Loss_D: -0.025995 Loss_G: 0.010353 Loss_D_real: -0.009574 Loss_D_fake 0.016422
[596/5000][440/535][61335] Loss_D: -0.025797 Loss_G: 0.017789 Loss_D_real: -0.020746 Loss_D_fake 0.005051
[596/5000][445/535][61336] Loss_D: -0.025590 Loss_G: 0.003705 Loss_D_real: -0.010807 Loss_D_fake 0.014784
[596/5000][450/535][61337] Loss_D: -0.025216 Loss_G: 0.020601 Loss_D_real: -0.024514 Loss_D_fake 0.000702
[596/5000][455/535][61338] Loss_D: -0.024055 Loss_G: 0.035225 Loss_D_real: -0.028767 Loss_D_fake -0.004713
[596/5000][460/535][61339] Loss_D: -0.025932 Loss_G: 0.020076 Loss_D_real: -0.014329 Loss_D_fake 0.011603
[596/5000][465/535][61340] Loss_D: -0.025793 Loss_G: 0.004849 Loss_D_real: -0.002216 Loss_D_fake 0.023576
[596/5000][470/535][61341] Loss_D: -0.024484 Loss_G: 0.000033 Loss_D_real: -0.014893 Loss_D_fake 0.009591
[596/5000][475/535][61342] Loss_D: -0.025226 Loss_G: 0.026686 Loss_D_real: -0.015518 Loss_D_fake 0.009708
[596/5000][480/535][61343] Loss_D: -0.025618 Loss_G: 0.029847 Loss_D_real: -0.030888 Loss_D_fake -0.005270
[596/5000][485/535][61344] Loss_D: -0.025916 Loss_G: 0.022412 Loss_D_real: -0.029214 Loss_D_fake -0.003299
[596/5000][490/535][61345] Loss_D: -0.026095 Loss_G: 0.000756 Loss_D_real: -0.017106 Loss_D_fake 0.008988
[596/5000][495/535][61346] Loss_D: -0.024882 Loss_G: 0.009391 Loss_D_real: -0.004492 Loss_D_fake 0.020390
[596/5000][500/535][61347] Loss_D: -0.024968 Loss_G: 0.012500 Loss_D_real: -0.022492 Loss_D_fake 0.002476
[596/5000][505/535][61348] Loss_D: -0.025949 Loss_G: 0.034125 Loss_D_real: -0.025448 Loss_D_fake 0.000500
[596/5000][510/535][61349] Loss_D: -0.024382 Loss_G: -0.015817 Loss_D_real: 0.004607 Loss_D_fake 0.028990
[596/5000][515/535][61350] Loss_D: -0.025311 Loss_G: 0.028304 Loss_D_real: -0.035589 Loss_D_fake -0.010278
[596/5000][520/535][61351] Loss_D: -0.026185 Loss_G: 0.022756 Loss_D_real: -0.017934 Loss_D_fake 0.008252
[596/5000][525/535][61352] Loss_D: -0.024585 Loss_G: -0.000199 Loss_D_real: 0.001779 Loss_D_fake 0.026364
[596/5000][530/535][61353] Loss_D: -0.025554 Loss_G: 0.019906 Loss_D_real: -0.012332 Loss_D_fake 0.013223
[596/5000][535/535][61354] Loss_D: -0.024210 Loss_G: 0.044022 Loss_D_real: -0.014953 Loss_D_fake 0.009257
[597/5000][5/535][61355] Loss_D: -0.024967 Loss_G: 0.006565 Loss_D_real: -0.013707 Loss_D_fake 0.011260
[597/5000][10/535][61356] Loss_D: -0.025452 Loss_G: 0.033302 Loss_D_real: -0.020362 Loss_D_fake 0.005090
[597/5000][15/535][61357] Loss_D: -0.025449 Loss_G: 0.000814 Loss_D_real: -0.009587 Loss_D_fake 0.015861
[597/5000][20/535][61358] Loss_D: -0.024077 Loss_G: 0.025513 Loss_D_real: -0.028879 Loss_D_fake -0.004803
[597/5000][25/535][61359] Loss_D: -0.026601 Loss_G: 0.015383 Loss_D_real: -0.009045 Loss_D_fake 0.017556
[597/5000][30/535][61360] Loss_D: -0.024876 Loss_G: 0.020719 Loss_D_real: -0.017933 Loss_D_fake 0.006943
[597/5000][35/535][61361] Loss_D: -0.025122 Loss_G: -0.008230 Loss_D_real: -0.002883 Loss_D_fake 0.022239
[597/5000][40/535][61362] Loss_D: -0.024453 Loss_G: 0.019705 Loss_D_real: -0.017315 Loss_D_fake 0.007137
[597/5000][45/535][61363] Loss_D: -0.025984 Loss_G: 0.015827 Loss_D_real: -0.013122 Loss_D_fake 0.012861
[597/5000][50/535][61364] Loss_D: -0.025860 Loss_G: 0.018596 Loss_D_real: -0.015655 Loss_D_fake 0.010205
[597/5000][55/535][61365] Loss_D: -0.025230 Loss_G: -0.013218 Loss_D_real: -0.006852 Loss_D_fake 0.018378
[597/5000][60/535][61366] Loss_D: -0.024660 Loss_G: 0.024431 Loss_D_real: -0.014805 Loss_D_fake 0.009855
[597/5000][65/535][61367] Loss_D: -0.024846 Loss_G: 0.032066 Loss_D_real: -0.029330 Loss_D_fake -0.004484
[597/5000][70/535][61368] Loss_D: -0.025957 Loss_G: -0.007462 Loss_D_real: -0.014660 Loss_D_fake 0.011297
[597/5000][75/535][61369] Loss_D: -0.023951 Loss_G: 0.023169 Loss_D_real: -0.021187 Loss_D_fake 0.002763
[597/5000][80/535][61370] Loss_D: -0.024695 Loss_G: 0.027658 Loss_D_real: -0.020566 Loss_D_fake 0.004129
[597/5000][85/535][61371] Loss_D: -0.024435 Loss_G: 0.029424 Loss_D_real: -0.027677 Loss_D_fake -0.003242
[597/5000][90/535][61372] Loss_D: -0.026257 Loss_G: -0.005326 Loss_D_real: -0.005608 Loss_D_fake 0.020649
[597/5000][95/535][61373] Loss_D: -0.024205 Loss_G: 0.016170 Loss_D_real: -0.019470 Loss_D_fake 0.004735
[597/5000][100/535][61374] Loss_D: -0.024636 Loss_G: -0.003381 Loss_D_real: -0.005023 Loss_D_fake 0.019612
[597/5000][105/535][61375] Loss_D: -0.024655 Loss_G: 0.022462 Loss_D_real: -0.014400 Loss_D_fake 0.010255
[597/5000][110/535][61376] Loss_D: -0.023839 Loss_G: -0.001294 Loss_D_real: -0.002603 Loss_D_fake 0.021236
[597/5000][115/535][61377] Loss_D: -0.025786 Loss_G: 0.029076 Loss_D_real: -0.012391 Loss_D_fake 0.013394
[597/5000][120/535][61378] Loss_D: -0.023915 Loss_G: 0.030641 Loss_D_real: -0.024038 Loss_D_fake -0.000123
[597/5000][125/535][61379] Loss_D: -0.022630 Loss_G: 0.029777 Loss_D_real: -0.033029 Loss_D_fake -0.010399
[597/5000][130/535][61380] Loss_D: -0.025734 Loss_G: -0.004990 Loss_D_real: -0.000210 Loss_D_fake 0.025524
[597/5000][135/535][61381] Loss_D: -0.025090 Loss_G: 0.008247 Loss_D_real: -0.009895 Loss_D_fake 0.015196
[597/5000][140/535][61382] Loss_D: -0.024530 Loss_G: 0.034423 Loss_D_real: -0.022905 Loss_D_fake 0.001625
[597/5000][145/535][61383] Loss_D: -0.025309 Loss_G: 0.008311 Loss_D_real: -0.004192 Loss_D_fake 0.021117
[597/5000][150/535][61384] Loss_D: -0.024899 Loss_G: 0.011327 Loss_D_real: -0.008608 Loss_D_fake 0.016290
[597/5000][155/535][61385] Loss_D: -0.025806 Loss_G: 0.006856 Loss_D_real: -0.021150 Loss_D_fake 0.004656
[597/5000][160/535][61386] Loss_D: -0.026062 Loss_G: 0.023413 Loss_D_real: -0.026802 Loss_D_fake -0.000740
[597/5000][165/535][61387] Loss_D: -0.026905 Loss_G: 0.004032 Loss_D_real: -0.000346 Loss_D_fake 0.026559
[597/5000][170/535][61388] Loss_D: -0.026026 Loss_G: 0.007370 Loss_D_real: -0.008464 Loss_D_fake 0.017562
[597/5000][175/535][61389] Loss_D: -0.025119 Loss_G: -0.000374 Loss_D_real: 0.000939 Loss_D_fake 0.026059
[597/5000][180/535][61390] Loss_D: -0.025042 Loss_G: 0.004952 Loss_D_real: -0.003589 Loss_D_fake 0.021453
[597/5000][185/535][61391] Loss_D: -0.025327 Loss_G: 0.020170 Loss_D_real: -0.024466 Loss_D_fake 0.000861
[597/5000][190/535][61392] Loss_D: -0.024183 Loss_G: -0.003349 Loss_D_real: -0.007964 Loss_D_fake 0.016218
[597/5000][195/535][61393] Loss_D: -0.024267 Loss_G: 0.038710 Loss_D_real: -0.029165 Loss_D_fake -0.004897
[597/5000][200/535][61394] Loss_D: -0.025086 Loss_G: 0.000166 Loss_D_real: 0.000848 Loss_D_fake 0.025934
[597/5000][205/535][61395] Loss_D: -0.022866 Loss_G: 0.032564 Loss_D_real: -0.030442 Loss_D_fake -0.007576
[597/5000][210/535][61396] Loss_D: -0.024438 Loss_G: -0.007537 Loss_D_real: 0.001743 Loss_D_fake 0.026181
[597/5000][215/535][61397] Loss_D: -0.025840 Loss_G: 0.010542 Loss_D_real: -0.015311 Loss_D_fake 0.010528
[597/5000][220/535][61398] Loss_D: -0.024388 Loss_G: -0.000080 Loss_D_real: -0.000303 Loss_D_fake 0.024085
[597/5000][225/535][61399] Loss_D: -0.023704 Loss_G: 0.027722 Loss_D_real: -0.026024 Loss_D_fake -0.002321
[597/5000][230/535][61400] Loss_D: -0.024826 Loss_G: 0.011151 Loss_D_real: -0.013901 Loss_D_fake 0.010925
[597/5000][235/535][61401] Loss_D: -0.024145 Loss_G: 0.018742 Loss_D_real: -0.015184 Loss_D_fake 0.008961
[597/5000][240/535][61402] Loss_D: -0.025539 Loss_G: 0.022144 Loss_D_real: -0.013671 Loss_D_fake 0.011868
[597/5000][245/535][61403] Loss_D: -0.025369 Loss_G: -0.001153 Loss_D_real: -0.009526 Loss_D_fake 0.015843
[597/5000][250/535][61404] Loss_D: -0.023016 Loss_G: 0.031703 Loss_D_real: -0.022949 Loss_D_fake 0.000067
[597/5000][255/535][61405] Loss_D: -0.024308 Loss_G: 0.004320 Loss_D_real: -0.004532 Loss_D_fake 0.019776
[597/5000][260/535][61406] Loss_D: -0.024639 Loss_G: 0.005905 Loss_D_real: -0.009008 Loss_D_fake 0.015631
[597/5000][265/535][61407] Loss_D: -0.024933 Loss_G: 0.009995 Loss_D_real: -0.001876 Loss_D_fake 0.023056
[597/5000][270/535][61408] Loss_D: -0.025485 Loss_G: 0.015161 Loss_D_real: -0.021715 Loss_D_fake 0.003770
[597/5000][275/535][61409] Loss_D: -0.026007 Loss_G: 0.024876 Loss_D_real: -0.021337 Loss_D_fake 0.004671
[597/5000][280/535][61410] Loss_D: -0.025462 Loss_G: -0.005339 Loss_D_real: -0.003205 Loss_D_fake 0.022258
[597/5000][285/535][61411] Loss_D: -0.024474 Loss_G: 0.023503 Loss_D_real: -0.026682 Loss_D_fake -0.002208
[597/5000][290/535][61412] Loss_D: -0.025140 Loss_G: 0.023703 Loss_D_real: -0.016807 Loss_D_fake 0.008333
[597/5000][295/535][61413] Loss_D: -0.024751 Loss_G: 0.017955 Loss_D_real: -0.020984 Loss_D_fake 0.003767
[597/5000][300/535][61414] Loss_D: -0.025369 Loss_G: 0.027814 Loss_D_real: -0.029678 Loss_D_fake -0.004309
[597/5000][305/535][61415] Loss_D: -0.024902 Loss_G: 0.026143 Loss_D_real: -0.020684 Loss_D_fake 0.004218
[597/5000][310/535][61416] Loss_D: -0.026042 Loss_G: 0.013357 Loss_D_real: -0.008619 Loss_D_fake 0.017422
[597/5000][315/535][61417] Loss_D: -0.025664 Loss_G: 0.011523 Loss_D_real: -0.013411 Loss_D_fake 0.012253
[597/5000][320/535][61418] Loss_D: -0.025408 Loss_G: 0.024903 Loss_D_real: -0.018007 Loss_D_fake 0.007401
[597/5000][325/535][61419] Loss_D: -0.025466 Loss_G: -0.006822 Loss_D_real: -0.003886 Loss_D_fake 0.021580
[597/5000][330/535][61420] Loss_D: -0.025048 Loss_G: -0.001342 Loss_D_real: 0.002661 Loss_D_fake 0.027710
[597/5000][335/535][61421] Loss_D: -0.024613 Loss_G: 0.023363 Loss_D_real: -0.016818 Loss_D_fake 0.007795
[597/5000][340/535][61422] Loss_D: -0.025155 Loss_G: 0.012743 Loss_D_real: -0.009726 Loss_D_fake 0.015429
[597/5000][345/535][61423] Loss_D: -0.025700 Loss_G: 0.013255 Loss_D_real: -0.013927 Loss_D_fake 0.011772
[597/5000][350/535][61424] Loss_D: -0.024417 Loss_G: 0.032026 Loss_D_real: -0.021779 Loss_D_fake 0.002639
[597/5000][355/535][61425] Loss_D: -0.026703 Loss_G: 0.008648 Loss_D_real: -0.001686 Loss_D_fake 0.025017
[597/5000][360/535][61426] Loss_D: -0.025310 Loss_G: 0.025561 Loss_D_real: -0.021843 Loss_D_fake 0.003468
[597/5000][365/535][61427] Loss_D: -0.026162 Loss_G: 0.037859 Loss_D_real: -0.030301 Loss_D_fake -0.004138
[597/5000][370/535][61428] Loss_D: -0.025540 Loss_G: 0.022418 Loss_D_real: -0.011159 Loss_D_fake 0.014381
[597/5000][375/535][61429] Loss_D: -0.023201 Loss_G: 0.038711 Loss_D_real: -0.029402 Loss_D_fake -0.006201
[597/5000][380/535][61430] Loss_D: -0.024127 Loss_G: 0.008810 Loss_D_real: -0.008553 Loss_D_fake 0.015574
[597/5000][385/535][61431] Loss_D: -0.025051 Loss_G: -0.000774 Loss_D_real: -0.006673 Loss_D_fake 0.018378
[597/5000][390/535][61432] Loss_D: -0.025503 Loss_G: 0.010857 Loss_D_real: -0.012073 Loss_D_fake 0.013430
[597/5000][395/535][61433] Loss_D: -0.023578 Loss_G: -0.001408 Loss_D_real: -0.003705 Loss_D_fake 0.019873
[597/5000][400/535][61434] Loss_D: -0.023832 Loss_G: 0.012304 Loss_D_real: -0.015948 Loss_D_fake 0.007884
[597/5000][405/535][61435] Loss_D: -0.026091 Loss_G: 0.017398 Loss_D_real: -0.012169 Loss_D_fake 0.013922
[597/5000][410/535][61436] Loss_D: -0.026065 Loss_G: 0.014016 Loss_D_real: -0.003352 Loss_D_fake 0.022713
[597/5000][415/535][61437] Loss_D: -0.025419 Loss_G: 0.025340 Loss_D_real: -0.021556 Loss_D_fake 0.003863
[597/5000][420/535][61438] Loss_D: -0.025409 Loss_G: -0.010722 Loss_D_real: -0.000357 Loss_D_fake 0.025052
[597/5000][425/535][61439] Loss_D: -0.024976 Loss_G: 0.020231 Loss_D_real: -0.021139 Loss_D_fake 0.003837
[597/5000][430/535][61440] Loss_D: -0.025904 Loss_G: -0.005442 Loss_D_real: -0.003885 Loss_D_fake 0.022018
[597/5000][435/535][61441] Loss_D: -0.025306 Loss_G: 0.030603 Loss_D_real: -0.022266 Loss_D_fake 0.003039
[597/5000][440/535][61442] Loss_D: -0.025821 Loss_G: 0.003954 Loss_D_real: 0.004216 Loss_D_fake 0.030037
[597/5000][445/535][61443] Loss_D: -0.025512 Loss_G: -0.005853 Loss_D_real: 0.000596 Loss_D_fake 0.026108
[597/5000][450/535][61444] Loss_D: -0.024414 Loss_G: 0.036062 Loss_D_real: -0.033142 Loss_D_fake -0.008728
[597/5000][455/535][61445] Loss_D: -0.025504 Loss_G: 0.019175 Loss_D_real: -0.013132 Loss_D_fake 0.012372
[597/5000][460/535][61446] Loss_D: -0.024121 Loss_G: -0.003114 Loss_D_real: -0.003936 Loss_D_fake 0.020185
[597/5000][465/535][61447] Loss_D: -0.024807 Loss_G: 0.008170 Loss_D_real: -0.010287 Loss_D_fake 0.014520
[597/5000][470/535][61448] Loss_D: -0.025406 Loss_G: 0.006281 Loss_D_real: -0.018155 Loss_D_fake 0.007251
[597/5000][475/535][61449] Loss_D: -0.024800 Loss_G: 0.015728 Loss_D_real: -0.021496 Loss_D_fake 0.003305
[597/5000][480/535][61450] Loss_D: -0.025628 Loss_G: 0.022469 Loss_D_real: -0.024506 Loss_D_fake 0.001121
[597/5000][485/535][61451] Loss_D: -0.025290 Loss_G: 0.027614 Loss_D_real: -0.028073 Loss_D_fake -0.002783
[597/5000][490/535][61452] Loss_D: -0.024934 Loss_G: 0.001179 Loss_D_real: 0.002194 Loss_D_fake 0.027128
[597/5000][495/535][61453] Loss_D: -0.025995 Loss_G: 0.007051 Loss_D_real: -0.023641 Loss_D_fake 0.002353
[597/5000][500/535][61454] Loss_D: -0.024051 Loss_G: 0.028508 Loss_D_real: -0.026967 Loss_D_fake -0.002916
[597/5000][505/535][61455] Loss_D: -0.022353 Loss_G: -0.016602 Loss_D_real: 0.014757 Loss_D_fake 0.037110
[597/5000][510/535][61456] Loss_D: -0.023775 Loss_G: 0.001988 Loss_D_real: -0.021286 Loss_D_fake 0.002489
[597/5000][515/535][61457] Loss_D: -0.025680 Loss_G: 0.012736 Loss_D_real: -0.012481 Loss_D_fake 0.013200
[597/5000][520/535][61458] Loss_D: -0.023330 Loss_G: 0.013803 Loss_D_real: -0.019908 Loss_D_fake 0.003422
[597/5000][525/535][61459] Loss_D: -0.025860 Loss_G: 0.016260 Loss_D_real: -0.007390 Loss_D_fake 0.018470
[597/5000][530/535][61460] Loss_D: -0.025134 Loss_G: 0.030724 Loss_D_real: -0.031517 Loss_D_fake -0.006384
[597/5000][535/535][61461] Loss_D: -0.026090 Loss_G: 0.001860 Loss_D_real: -0.012612 Loss_D_fake 0.013478
[598/5000][5/535][61462] Loss_D: -0.024183 Loss_G: 0.024500 Loss_D_real: -0.030205 Loss_D_fake -0.006021
[598/5000][10/535][61463] Loss_D: -0.024996 Loss_G: 0.017720 Loss_D_real: -0.017823 Loss_D_fake 0.007174
[598/5000][15/535][61464] Loss_D: -0.024581 Loss_G: 0.032231 Loss_D_real: -0.022353 Loss_D_fake 0.002228
[598/5000][20/535][61465] Loss_D: -0.024458 Loss_G: 0.005249 Loss_D_real: 0.001317 Loss_D_fake 0.025775
[598/5000][25/535][61466] Loss_D: -0.023796 Loss_G: -0.003390 Loss_D_real: -0.008260 Loss_D_fake 0.015536
[598/5000][30/535][61467] Loss_D: -0.024159 Loss_G: 0.020619 Loss_D_real: -0.017948 Loss_D_fake 0.006211
[598/5000][35/535][61468] Loss_D: -0.023503 Loss_G: -0.004830 Loss_D_real: -0.007723 Loss_D_fake 0.015780
[598/5000][40/535][61469] Loss_D: -0.025361 Loss_G: 0.011581 Loss_D_real: -0.013311 Loss_D_fake 0.012050
[598/5000][45/535][61470] Loss_D: -0.026459 Loss_G: 0.025304 Loss_D_real: -0.014580 Loss_D_fake 0.011879
[598/5000][50/535][61471] Loss_D: -0.025064 Loss_G: 0.029311 Loss_D_real: -0.021563 Loss_D_fake 0.003501
[598/5000][55/535][61472] Loss_D: -0.023984 Loss_G: 0.028532 Loss_D_real: -0.021777 Loss_D_fake 0.002207
[598/5000][60/535][61473] Loss_D: -0.025196 Loss_G: 0.005499 Loss_D_real: -0.015866 Loss_D_fake 0.009330
[598/5000][65/535][61474] Loss_D: -0.025340 Loss_G: -0.000912 Loss_D_real: -0.001390 Loss_D_fake 0.023950
[598/5000][70/535][61475] Loss_D: -0.024574 Loss_G: 0.015493 Loss_D_real: -0.028338 Loss_D_fake -0.003764
[598/5000][75/535][61476] Loss_D: -0.026678 Loss_G: 0.030370 Loss_D_real: -0.026753 Loss_D_fake -0.000075
[598/5000][80/535][61477] Loss_D: -0.025341 Loss_G: -0.008892 Loss_D_real: 0.003570 Loss_D_fake 0.028912
[598/5000][85/535][61478] Loss_D: -0.022516 Loss_G: 0.026036 Loss_D_real: -0.018983 Loss_D_fake 0.003533
[598/5000][90/535][61479] Loss_D: -0.024619 Loss_G: 0.010511 Loss_D_real: -0.004070 Loss_D_fake 0.020549
[598/5000][95/535][61480] Loss_D: -0.024816 Loss_G: 0.016832 Loss_D_real: -0.017590 Loss_D_fake 0.007226
[598/5000][100/535][61481] Loss_D: -0.024785 Loss_G: 0.010468 Loss_D_real: -0.013301 Loss_D_fake 0.011484
[598/5000][105/535][61482] Loss_D: -0.025490 Loss_G: 0.014581 Loss_D_real: -0.015708 Loss_D_fake 0.009782
[598/5000][110/535][61483] Loss_D: -0.025938 Loss_G: 0.027742 Loss_D_real: -0.020140 Loss_D_fake 0.005798
[598/5000][115/535][61484] Loss_D: -0.025040 Loss_G: 0.007427 Loss_D_real: -0.018773 Loss_D_fake 0.006267
[598/5000][120/535][61485] Loss_D: -0.024588 Loss_G: 0.023073 Loss_D_real: -0.014540 Loss_D_fake 0.010048
[598/5000][125/535][61486] Loss_D: -0.024351 Loss_G: 0.013669 Loss_D_real: -0.010441 Loss_D_fake 0.013910
[598/5000][130/535][61487] Loss_D: -0.025965 Loss_G: 0.014207 Loss_D_real: -0.012366 Loss_D_fake 0.013599
[598/5000][135/535][61488] Loss_D: -0.024634 Loss_G: 0.001078 Loss_D_real: 0.004456 Loss_D_fake 0.029090
[598/5000][140/535][61489] Loss_D: -0.025098 Loss_G: 0.006516 Loss_D_real: -0.022325 Loss_D_fake 0.002774
[598/5000][145/535][61490] Loss_D: -0.026415 Loss_G: 0.023447 Loss_D_real: -0.028158 Loss_D_fake -0.001743
[598/5000][150/535][61491] Loss_D: -0.024260 Loss_G: -0.009928 Loss_D_real: 0.013873 Loss_D_fake 0.038133
[598/5000][155/535][61492] Loss_D: -0.024099 Loss_G: 0.003090 Loss_D_real: -0.012951 Loss_D_fake 0.011148
[598/5000][160/535][61493] Loss_D: -0.025498 Loss_G: 0.022347 Loss_D_real: -0.006983 Loss_D_fake 0.018515
[598/5000][165/535][61494] Loss_D: -0.025629 Loss_G: 0.016319 Loss_D_real: -0.013931 Loss_D_fake 0.011698
[598/5000][170/535][61495] Loss_D: -0.024652 Loss_G: 0.028560 Loss_D_real: -0.031287 Loss_D_fake -0.006635
[598/5000][175/535][61496] Loss_D: -0.025390 Loss_G: 0.010315 Loss_D_real: -0.012512 Loss_D_fake 0.012878
[598/5000][180/535][61497] Loss_D: -0.026456 Loss_G: 0.012887 Loss_D_real: -0.012381 Loss_D_fake 0.014075
[598/5000][185/535][61498] Loss_D: -0.025026 Loss_G: 0.026692 Loss_D_real: -0.028661 Loss_D_fake -0.003636
[598/5000][190/535][61499] Loss_D: -0.024935 Loss_G: 0.028724 Loss_D_real: -0.026648 Loss_D_fake -0.001713
[598/5000][195/535][61500] Loss_D: -0.026419 Loss_G: 0.014471 Loss_D_real: -0.020838 Loss_D_fake 0.005581
[598/5000][295/535][61501] Loss_D: -0.023298 Loss_G: 0.044945 Loss_D_real: -0.044516 Loss_D_fake -0.021218
[598/5000][300/535][61502] Loss_D: -0.024241 Loss_G: 0.015049 Loss_D_real: -0.018075 Loss_D_fake 0.006166
[598/5000][305/535][61503] Loss_D: -0.023074 Loss_G: 0.008801 Loss_D_real: -0.009568 Loss_D_fake 0.013505
[598/5000][310/535][61504] Loss_D: -0.023261 Loss_G: 0.004680 Loss_D_real: -0.003868 Loss_D_fake 0.019394
[598/5000][315/535][61505] Loss_D: -0.023039 Loss_G: 0.018003 Loss_D_real: -0.025811 Loss_D_fake -0.002771
[598/5000][320/535][61506] Loss_D: -0.023620 Loss_G: 0.017016 Loss_D_real: -0.018592 Loss_D_fake 0.005027
[598/5000][325/535][61507] Loss_D: -0.023212 Loss_G: -0.001240 Loss_D_real: -0.008740 Loss_D_fake 0.014472
[598/5000][330/535][61508] Loss_D: -0.024604 Loss_G: 0.021356 Loss_D_real: -0.023666 Loss_D_fake 0.000938
[598/5000][335/535][61509] Loss_D: -0.024219 Loss_G: 0.003306 Loss_D_real: -0.004601 Loss_D_fake 0.019618
[598/5000][340/535][61510] Loss_D: -0.024991 Loss_G: 0.009622 Loss_D_real: -0.012251 Loss_D_fake 0.012740
[598/5000][345/535][61511] Loss_D: -0.023964 Loss_G: 0.017499 Loss_D_real: -0.015781 Loss_D_fake 0.008183
[598/5000][350/535][61512] Loss_D: -0.024261 Loss_G: 0.018808 Loss_D_real: -0.014975 Loss_D_fake 0.009286
[598/5000][355/535][61513] Loss_D: -0.025451 Loss_G: 0.015814 Loss_D_real: -0.016575 Loss_D_fake 0.008876
[598/5000][360/535][61514] Loss_D: -0.024994 Loss_G: 0.018260 Loss_D_real: -0.018940 Loss_D_fake 0.006054
[598/5000][365/535][61515] Loss_D: -0.024646 Loss_G: 0.015242 Loss_D_real: -0.014924 Loss_D_fake 0.009723
[598/5000][370/535][61516] Loss_D: -0.024777 Loss_G: 0.019409 Loss_D_real: -0.021241 Loss_D_fake 0.003536
[598/5000][375/535][61517] Loss_D: -0.024589 Loss_G: 0.004579 Loss_D_real: -0.007443 Loss_D_fake 0.017146
[598/5000][380/535][61518] Loss_D: -0.025178 Loss_G: 0.006044 Loss_D_real: -0.011239 Loss_D_fake 0.013938
[598/5000][385/535][61519] Loss_D: -0.024778 Loss_G: 0.026947 Loss_D_real: -0.024326 Loss_D_fake 0.000451
[598/5000][390/535][61520] Loss_D: -0.024998 Loss_G: 0.015972 Loss_D_real: -0.023035 Loss_D_fake 0.001963
[598/5000][395/535][61521] Loss_D: -0.024704 Loss_G: -0.003676 Loss_D_real: -0.002014 Loss_D_fake 0.022690
[598/5000][400/535][61522] Loss_D: -0.023503 Loss_G: 0.017745 Loss_D_real: -0.021248 Loss_D_fake 0.002255
[598/5000][405/535][61523] Loss_D: -0.025063 Loss_G: 0.005968 Loss_D_real: -0.004948 Loss_D_fake 0.020115
[598/5000][410/535][61524] Loss_D: -0.024523 Loss_G: 0.005364 Loss_D_real: -0.021006 Loss_D_fake 0.003517
[598/5000][415/535][61525] Loss_D: -0.025999 Loss_G: -0.000336 Loss_D_real: -0.005277 Loss_D_fake 0.020722
[598/5000][420/535][61526] Loss_D: -0.024844 Loss_G: 0.012118 Loss_D_real: -0.008725 Loss_D_fake 0.016119
[598/5000][425/535][61527] Loss_D: -0.024609 Loss_G: 0.028683 Loss_D_real: -0.023555 Loss_D_fake 0.001054
[598/5000][430/535][61528] Loss_D: -0.025663 Loss_G: 0.018007 Loss_D_real: -0.020785 Loss_D_fake 0.004878
[598/5000][435/535][61529] Loss_D: -0.026014 Loss_G: 0.025927 Loss_D_real: -0.024321 Loss_D_fake 0.001693
[598/5000][440/535][61530] Loss_D: -0.025240 Loss_G: 0.020586 Loss_D_real: -0.013636 Loss_D_fake 0.011605
[598/5000][445/535][61531] Loss_D: -0.024083 Loss_G: -0.012525 Loss_D_real: 0.000735 Loss_D_fake 0.024819
[598/5000][450/535][61532] Loss_D: -0.023932 Loss_G: -0.000883 Loss_D_real: -0.006145 Loss_D_fake 0.017788
[598/5000][455/535][61533] Loss_D: -0.024373 Loss_G: 0.008301 Loss_D_real: -0.009241 Loss_D_fake 0.015132
[598/5000][460/535][61534] Loss_D: -0.026067 Loss_G: 0.009847 Loss_D_real: -0.007060 Loss_D_fake 0.019007
[598/5000][465/535][61535] Loss_D: -0.024429 Loss_G: 0.027798 Loss_D_real: -0.028161 Loss_D_fake -0.003732
[598/5000][470/535][61536] Loss_D: -0.025601 Loss_G: 0.008057 Loss_D_real: -0.004040 Loss_D_fake 0.021562
[598/5000][475/535][61537] Loss_D: -0.025174 Loss_G: 0.031333 Loss_D_real: -0.014601 Loss_D_fake 0.010573
[598/5000][480/535][61538] Loss_D: -0.025971 Loss_G: 0.010063 Loss_D_real: -0.010426 Loss_D_fake 0.015545
[598/5000][485/535][61539] Loss_D: -0.024707 Loss_G: 0.005459 Loss_D_real: -0.005084 Loss_D_fake 0.019623
[598/5000][490/535][61540] Loss_D: -0.024240 Loss_G: 0.036465 Loss_D_real: -0.029680 Loss_D_fake -0.005440
[598/5000][495/535][61541] Loss_D: -0.024500 Loss_G: 0.002256 Loss_D_real: -0.012635 Loss_D_fake 0.011864
[598/5000][500/535][61542] Loss_D: -0.025263 Loss_G: 0.022850 Loss_D_real: -0.016964 Loss_D_fake 0.008299
[598/5000][505/535][61543] Loss_D: -0.024519 Loss_G: 0.003880 Loss_D_real: -0.008629 Loss_D_fake 0.015889
[598/5000][510/535][61544] Loss_D: -0.024833 Loss_G: 0.027403 Loss_D_real: -0.023903 Loss_D_fake 0.000930
[598/5000][515/535][61545] Loss_D: -0.024851 Loss_G: -0.018922 Loss_D_real: 0.006798 Loss_D_fake 0.031649
[598/5000][520/535][61546] Loss_D: -0.024992 Loss_G: 0.015529 Loss_D_real: -0.006237 Loss_D_fake 0.018755
[598/5000][525/535][61547] Loss_D: -0.024395 Loss_G: 0.023627 Loss_D_real: -0.027074 Loss_D_fake -0.002679
[598/5000][530/535][61548] Loss_D: -0.024805 Loss_G: 0.029612 Loss_D_real: -0.028887 Loss_D_fake -0.004081
[598/5000][535/535][61549] Loss_D: -0.025870 Loss_G: 0.045858 Loss_D_real: -0.026388 Loss_D_fake -0.000518
[599/5000][5/535][61550] Loss_D: -0.024311 Loss_G: -0.010796 Loss_D_real: 0.002059 Loss_D_fake 0.026371
[599/5000][10/535][61551] Loss_D: -0.023987 Loss_G: 0.017394 Loss_D_real: -0.021160 Loss_D_fake 0.002827
[599/5000][15/535][61552] Loss_D: -0.024746 Loss_G: 0.000432 Loss_D_real: -0.002810 Loss_D_fake 0.021936
[599/5000][20/535][61553] Loss_D: -0.023929 Loss_G: 0.011421 Loss_D_real: -0.023654 Loss_D_fake 0.000276
[599/5000][25/535][61554] Loss_D: -0.025236 Loss_G: 0.028603 Loss_D_real: -0.022923 Loss_D_fake 0.002313
[599/5000][30/535][61555] Loss_D: -0.027333 Loss_G: 0.011209 Loss_D_real: -0.006153 Loss_D_fake 0.021180
[599/5000][35/535][61556] Loss_D: -0.024090 Loss_G: 0.040635 Loss_D_real: -0.025649 Loss_D_fake -0.001559
[599/5000][40/535][61557] Loss_D: -0.024888 Loss_G: 0.017754 Loss_D_real: -0.015416 Loss_D_fake 0.009472
[599/5000][45/535][61558] Loss_D: -0.025748 Loss_G: 0.003317 Loss_D_real: -0.019273 Loss_D_fake 0.006475
[599/5000][50/535][61559] Loss_D: -0.024785 Loss_G: 0.003328 Loss_D_real: -0.014757 Loss_D_fake 0.010028
[599/5000][55/535][61560] Loss_D: -0.024080 Loss_G: 0.021984 Loss_D_real: -0.024946 Loss_D_fake -0.000867
[599/5000][60/535][61561] Loss_D: -0.023868 Loss_G: -0.002722 Loss_D_real: 0.000303 Loss_D_fake 0.024171
[599/5000][65/535][61562] Loss_D: -0.024858 Loss_G: 0.017272 Loss_D_real: -0.033557 Loss_D_fake -0.008698
[599/5000][70/535][61563] Loss_D: -0.025421 Loss_G: -0.004880 Loss_D_real: -0.011783 Loss_D_fake 0.013637
[599/5000][75/535][61564] Loss_D: -0.024496 Loss_G: -0.001525 Loss_D_real: -0.011346 Loss_D_fake 0.013149
[599/5000][80/535][61565] Loss_D: -0.024058 Loss_G: 0.036153 Loss_D_real: -0.027494 Loss_D_fake -0.003436
[599/5000][85/535][61566] Loss_D: -0.025117 Loss_G: 0.012404 Loss_D_real: -0.016732 Loss_D_fake 0.008384
[599/5000][90/535][61567] Loss_D: -0.023750 Loss_G: 0.030713 Loss_D_real: -0.029085 Loss_D_fake -0.005335
[599/5000][95/535][61568] Loss_D: -0.025456 Loss_G: 0.009835 Loss_D_real: -0.008618 Loss_D_fake 0.016838
[599/5000][100/535][61569] Loss_D: -0.024538 Loss_G: 0.026421 Loss_D_real: -0.023113 Loss_D_fake 0.001425
[599/5000][105/535][61570] Loss_D: -0.024561 Loss_G: 0.010418 Loss_D_real: -0.007556 Loss_D_fake 0.017005
[599/5000][110/535][61571] Loss_D: -0.025323 Loss_G: 0.026457 Loss_D_real: -0.025645 Loss_D_fake -0.000322
[599/5000][115/535][61572] Loss_D: -0.025705 Loss_G: 0.004219 Loss_D_real: -0.015820 Loss_D_fake 0.009884
[599/5000][120/535][61573] Loss_D: -0.022863 Loss_G: -0.018713 Loss_D_real: 0.004980 Loss_D_fake 0.027843
[599/5000][125/535][61574] Loss_D: -0.024221 Loss_G: 0.019381 Loss_D_real: -0.022038 Loss_D_fake 0.002183
[599/5000][130/535][61575] Loss_D: -0.026684 Loss_G: 0.018345 Loss_D_real: -0.008063 Loss_D_fake 0.018622
[599/5000][135/535][61576] Loss_D: -0.025073 Loss_G: 0.021301 Loss_D_real: -0.006379 Loss_D_fake 0.018695
[599/5000][140/535][61577] Loss_D: -0.023635 Loss_G: 0.022970 Loss_D_real: -0.019162 Loss_D_fake 0.004474
[599/5000][145/535][61578] Loss_D: -0.025433 Loss_G: 0.023814 Loss_D_real: -0.021126 Loss_D_fake 0.004307
[599/5000][150/535][61579] Loss_D: -0.027159 Loss_G: 0.004690 Loss_D_real: -0.018999 Loss_D_fake 0.008160
[599/5000][155/535][61580] Loss_D: -0.024083 Loss_G: 0.031085 Loss_D_real: -0.035389 Loss_D_fake -0.011307
[599/5000][160/535][61581] Loss_D: -0.025540 Loss_G: 0.011383 Loss_D_real: -0.011067 Loss_D_fake 0.014472
[599/5000][165/535][61582] Loss_D: -0.025059 Loss_G: 0.026265 Loss_D_real: -0.020479 Loss_D_fake 0.004580
[599/5000][170/535][61583] Loss_D: -0.025108 Loss_G: 0.006538 Loss_D_real: -0.008893 Loss_D_fake 0.016215
[599/5000][175/535][61584] Loss_D: -0.025279 Loss_G: 0.001880 Loss_D_real: -0.014798 Loss_D_fake 0.010482
[599/5000][180/535][61585] Loss_D: -0.024508 Loss_G: 0.008050 Loss_D_real: -0.014644 Loss_D_fake 0.009864
[599/5000][185/535][61586] Loss_D: -0.025019 Loss_G: 0.017109 Loss_D_real: -0.019491 Loss_D_fake 0.005527
[599/5000][190/535][61587] Loss_D: -0.026884 Loss_G: 0.002021 Loss_D_real: -0.002814 Loss_D_fake 0.024070
[599/5000][195/535][61588] Loss_D: -0.023526 Loss_G: -0.006207 Loss_D_real: 0.004276 Loss_D_fake 0.027803
[599/5000][200/535][61589] Loss_D: -0.025971 Loss_G: 0.016873 Loss_D_real: -0.016996 Loss_D_fake 0.008975
[599/5000][205/535][61590] Loss_D: -0.025311 Loss_G: 0.027765 Loss_D_real: -0.013618 Loss_D_fake 0.011693
[599/5000][210/535][61591] Loss_D: -0.024598 Loss_G: 0.023523 Loss_D_real: -0.018760 Loss_D_fake 0.005838
[599/5000][215/535][61592] Loss_D: -0.024576 Loss_G: 0.036442 Loss_D_real: -0.022333 Loss_D_fake 0.002243
[599/5000][220/535][61593] Loss_D: -0.023793 Loss_G: -0.006509 Loss_D_real: 0.000934 Loss_D_fake 0.024727
[599/5000][225/535][61594] Loss_D: -0.023669 Loss_G: 0.039186 Loss_D_real: -0.018894 Loss_D_fake 0.004775
[599/5000][230/535][61595] Loss_D: -0.023415 Loss_G: -0.019436 Loss_D_real: 0.003471 Loss_D_fake 0.026886
[599/5000][235/535][61596] Loss_D: -0.025394 Loss_G: -0.001689 Loss_D_real: -0.012376 Loss_D_fake 0.013018
[599/5000][240/535][61597] Loss_D: -0.024961 Loss_G: 0.014085 Loss_D_real: -0.012208 Loss_D_fake 0.012753
[599/5000][245/535][61598] Loss_D: -0.024757 Loss_G: 0.002808 Loss_D_real: 0.001205 Loss_D_fake 0.025962
[599/5000][250/535][61599] Loss_D: -0.022879 Loss_G: 0.023340 Loss_D_real: -0.031358 Loss_D_fake -0.008479
[599/5000][255/535][61600] Loss_D: -0.025159 Loss_G: 0.020574 Loss_D_real: -0.012730 Loss_D_fake 0.012429
[599/5000][260/535][61601] Loss_D: -0.024588 Loss_G: 0.025984 Loss_D_real: -0.018108 Loss_D_fake 0.006481
[599/5000][265/535][61602] Loss_D: -0.026357 Loss_G: 0.000914 Loss_D_real: -0.003486 Loss_D_fake 0.022871
[599/5000][270/535][61603] Loss_D: -0.024416 Loss_G: 0.018790 Loss_D_real: -0.011993 Loss_D_fake 0.012424
[599/5000][275/535][61604] Loss_D: -0.024608 Loss_G: 0.026039 Loss_D_real: -0.022977 Loss_D_fake 0.001631
[599/5000][280/535][61605] Loss_D: -0.025923 Loss_G: 0.025858 Loss_D_real: -0.019701 Loss_D_fake 0.006222
[599/5000][285/535][61606] Loss_D: -0.023202 Loss_G: 0.026163 Loss_D_real: -0.031520 Loss_D_fake -0.008318
[599/5000][290/535][61607] Loss_D: -0.023161 Loss_G: 0.027399 Loss_D_real: -0.028881 Loss_D_fake -0.005720
[599/5000][295/535][61608] Loss_D: -0.025701 Loss_G: 0.002537 Loss_D_real: -0.010608 Loss_D_fake 0.015094
[599/5000][300/535][61609] Loss_D: -0.026739 Loss_G: 0.004827 Loss_D_real: -0.014916 Loss_D_fake 0.011823
[599/5000][305/535][61610] Loss_D: -0.025682 Loss_G: 0.016809 Loss_D_real: -0.016518 Loss_D_fake 0.009164
[599/5000][310/535][61611] Loss_D: -0.022456 Loss_G: -0.013264 Loss_D_real: 0.006522 Loss_D_fake 0.028978
[599/5000][315/535][61612] Loss_D: -0.022825 Loss_G: -0.000805 Loss_D_real: -0.007698 Loss_D_fake 0.015127
[599/5000][320/535][61613] Loss_D: -0.024143 Loss_G: 0.016531 Loss_D_real: -0.010713 Loss_D_fake 0.013430
[599/5000][325/535][61614] Loss_D: -0.025551 Loss_G: 0.006303 Loss_D_real: -0.006440 Loss_D_fake 0.019111
[599/5000][330/535][61615] Loss_D: -0.024944 Loss_G: 0.030021 Loss_D_real: -0.021376 Loss_D_fake 0.003568
[599/5000][335/535][61616] Loss_D: -0.026152 Loss_G: 0.013665 Loss_D_real: -0.032937 Loss_D_fake -0.006785
[599/5000][340/535][61617] Loss_D: -0.025154 Loss_G: 0.018640 Loss_D_real: -0.022666 Loss_D_fake 0.002489
[599/5000][345/535][61618] Loss_D: -0.026595 Loss_G: 0.014024 Loss_D_real: -0.013811 Loss_D_fake 0.012784
[599/5000][350/535][61619] Loss_D: -0.026601 Loss_G: 0.021502 Loss_D_real: -0.017082 Loss_D_fake 0.009518
[599/5000][355/535][61620] Loss_D: -0.025710 Loss_G: -0.016458 Loss_D_real: -0.001784 Loss_D_fake 0.023926
[599/5000][360/535][61621] Loss_D: -0.024518 Loss_G: 0.033516 Loss_D_real: -0.021477 Loss_D_fake 0.003042
[599/5000][365/535][61622] Loss_D: -0.024666 Loss_G: 0.000084 Loss_D_real: -0.000199 Loss_D_fake 0.024467
[599/5000][370/535][61623] Loss_D: -0.025333 Loss_G: 0.020890 Loss_D_real: -0.009972 Loss_D_fake 0.015361
[599/5000][375/535][61624] Loss_D: -0.025433 Loss_G: 0.020345 Loss_D_real: -0.018814 Loss_D_fake 0.006620
[599/5000][380/535][61625] Loss_D: -0.027117 Loss_G: 0.004121 Loss_D_real: -0.006962 Loss_D_fake 0.020155
[599/5000][385/535][61626] Loss_D: -0.025980 Loss_G: 0.004493 Loss_D_real: -0.012507 Loss_D_fake 0.013473
[599/5000][390/535][61627] Loss_D: -0.026093 Loss_G: 0.018103 Loss_D_real: -0.009687 Loss_D_fake 0.016406
[599/5000][395/535][61628] Loss_D: -0.024423 Loss_G: 0.024189 Loss_D_real: -0.015977 Loss_D_fake 0.008446
[599/5000][400/535][61629] Loss_D: -0.027617 Loss_G: 0.026336 Loss_D_real: -0.013511 Loss_D_fake 0.014106
[599/5000][405/535][61630] Loss_D: -0.024496 Loss_G: -0.006555 Loss_D_real: -0.006923 Loss_D_fake 0.017573
[599/5000][410/535][61631] Loss_D: -0.024050 Loss_G: 0.026022 Loss_D_real: -0.029875 Loss_D_fake -0.005825
[599/5000][415/535][61632] Loss_D: -0.023991 Loss_G: 0.045980 Loss_D_real: -0.019838 Loss_D_fake 0.004154
[599/5000][420/535][61633] Loss_D: -0.024871 Loss_G: 0.005401 Loss_D_real: -0.004109 Loss_D_fake 0.020762
[599/5000][425/535][61634] Loss_D: -0.024581 Loss_G: 0.019138 Loss_D_real: -0.017870 Loss_D_fake 0.006711
[599/5000][430/535][61635] Loss_D: -0.025674 Loss_G: 0.013599 Loss_D_real: -0.017028 Loss_D_fake 0.008646
[599/5000][435/535][61636] Loss_D: -0.025056 Loss_G: 0.016857 Loss_D_real: -0.015544 Loss_D_fake 0.009512
[599/5000][440/535][61637] Loss_D: -0.025505 Loss_G: 0.030168 Loss_D_real: -0.026878 Loss_D_fake -0.001373
[599/5000][445/535][61638] Loss_D: -0.025037 Loss_G: 0.009186 Loss_D_real: -0.004089 Loss_D_fake 0.020948
[599/5000][450/535][61639] Loss_D: -0.025197 Loss_G: 0.000582 Loss_D_real: 0.000482 Loss_D_fake 0.025679
[599/5000][455/535][61640] Loss_D: -0.024726 Loss_G: 0.018080 Loss_D_real: -0.016556 Loss_D_fake 0.008170
[599/5000][460/535][61641] Loss_D: -0.025863 Loss_G: -0.004582 Loss_D_real: -0.006037 Loss_D_fake 0.019827
[599/5000][465/535][61642] Loss_D: -0.023262 Loss_G: 0.036196 Loss_D_real: -0.027308 Loss_D_fake -0.004046
[599/5000][470/535][61643] Loss_D: -0.024949 Loss_G: -0.001441 Loss_D_real: -0.002942 Loss_D_fake 0.022007
[599/5000][475/535][61644] Loss_D: -0.023403 Loss_G: -0.003434 Loss_D_real: -0.001547 Loss_D_fake 0.021856
[599/5000][480/535][61645] Loss_D: -0.025664 Loss_G: -0.005547 Loss_D_real: -0.015252 Loss_D_fake 0.010412
[599/5000][485/535][61646] Loss_D: -0.025020 Loss_G: 0.018257 Loss_D_real: -0.007642 Loss_D_fake 0.017378
[599/5000][490/535][61647] Loss_D: -0.024780 Loss_G: 0.002060 Loss_D_real: 0.001384 Loss_D_fake 0.026164
[599/5000][495/535][61648] Loss_D: -0.025184 Loss_G: 0.006834 Loss_D_real: -0.002151 Loss_D_fake 0.023033
[599/5000][500/535][61649] Loss_D: -0.027218 Loss_G: 0.005820 Loss_D_real: -0.006447 Loss_D_fake 0.020772
[599/5000][505/535][61650] Loss_D: -0.025974 Loss_G: 0.014188 Loss_D_real: -0.010153 Loss_D_fake 0.015822
[599/5000][510/535][61651] Loss_D: -0.026397 Loss_G: 0.027771 Loss_D_real: -0.016713 Loss_D_fake 0.009684
[599/5000][515/535][61652] Loss_D: -0.025894 Loss_G: 0.006596 Loss_D_real: -0.001684 Loss_D_fake 0.024209
[599/5000][520/535][61653] Loss_D: -0.023977 Loss_G: 0.037269 Loss_D_real: -0.029600 Loss_D_fake -0.005623
[599/5000][525/535][61654] Loss_D: -0.023780 Loss_G: -0.001622 Loss_D_real: 0.004082 Loss_D_fake 0.027863
[599/5000][530/535][61655] Loss_D: -0.024832 Loss_G: 0.021411 Loss_D_real: -0.020178 Loss_D_fake 0.004654
[599/5000][535/535][61656] Loss_D: -0.021140 Loss_G: -0.026042 Loss_D_real: -0.001872 Loss_D_fake 0.019268
[600/5000][5/535][61657] Loss_D: -0.024790 Loss_G: 0.008054 Loss_D_real: -0.008265 Loss_D_fake 0.016525
[600/5000][10/535][61658] Loss_D: -0.023548 Loss_G: 0.014441 Loss_D_real: -0.018933 Loss_D_fake 0.004615
[600/5000][15/535][61659] Loss_D: -0.024765 Loss_G: 0.006305 Loss_D_real: -0.018298 Loss_D_fake 0.006467
[600/5000][20/535][61660] Loss_D: -0.025378 Loss_G: 0.005173 Loss_D_real: -0.013210 Loss_D_fake 0.012168
[600/5000][25/535][61661] Loss_D: -0.025194 Loss_G: 0.014349 Loss_D_real: -0.021080 Loss_D_fake 0.004114
[600/5000][30/535][61662] Loss_D: -0.024762 Loss_G: 0.003992 Loss_D_real: -0.011359 Loss_D_fake 0.013403
[600/5000][35/535][61663] Loss_D: -0.026555 Loss_G: 0.027186 Loss_D_real: -0.017014 Loss_D_fake 0.009541
[600/5000][40/535][61664] Loss_D: -0.024459 Loss_G: 0.015254 Loss_D_real: -0.008608 Loss_D_fake 0.015851
[600/5000][45/535][61665] Loss_D: -0.024994 Loss_G: 0.004754 Loss_D_real: -0.014326 Loss_D_fake 0.010668
[600/5000][50/535][61666] Loss_D: -0.024445 Loss_G: 0.020746 Loss_D_real: -0.017185 Loss_D_fake 0.007261
[600/5000][55/535][61667] Loss_D: -0.024951 Loss_G: -0.017500 Loss_D_real: 0.010216 Loss_D_fake 0.035166
[600/5000][60/535][61668] Loss_D: -0.024326 Loss_G: 0.022793 Loss_D_real: -0.023185 Loss_D_fake 0.001141
[600/5000][65/535][61669] Loss_D: -0.024367 Loss_G: 0.005021 Loss_D_real: -0.010107 Loss_D_fake 0.014260
[600/5000][70/535][61670] Loss_D: -0.024377 Loss_G: 0.023188 Loss_D_real: -0.023221 Loss_D_fake 0.001155
[600/5000][75/535][61671] Loss_D: -0.024689 Loss_G: 0.025802 Loss_D_real: -0.026276 Loss_D_fake -0.001587
[600/5000][80/535][61672] Loss_D: -0.024732 Loss_G: 0.029281 Loss_D_real: -0.020126 Loss_D_fake 0.004605
[600/5000][85/535][61673] Loss_D: -0.025249 Loss_G: 0.008787 Loss_D_real: -0.012414 Loss_D_fake 0.012835
[600/5000][90/535][61674] Loss_D: -0.025634 Loss_G: 0.003169 Loss_D_real: -0.007261 Loss_D_fake 0.018372
[600/5000][95/535][61675] Loss_D: -0.026011 Loss_G: 0.013011 Loss_D_real: -0.006021 Loss_D_fake 0.019990
[600/5000][100/535][61676] Loss_D: -0.025932 Loss_G: 0.006313 Loss_D_real: -0.006982 Loss_D_fake 0.018950
[600/5000][105/535][61677] Loss_D: -0.023668 Loss_G: -0.003917 Loss_D_real: -0.010516 Loss_D_fake 0.013152
[600/5000][110/535][61678] Loss_D: -0.025276 Loss_G: 0.022237 Loss_D_real: -0.028804 Loss_D_fake -0.003528
[600/5000][115/535][61679] Loss_D: -0.024736 Loss_G: 0.031093 Loss_D_real: -0.026956 Loss_D_fake -0.002220
[600/5000][120/535][61680] Loss_D: -0.025529 Loss_G: 0.010524 Loss_D_real: -0.000932 Loss_D_fake 0.024597
[600/5000][125/535][61681] Loss_D: -0.025373 Loss_G: 0.023505 Loss_D_real: -0.009971 Loss_D_fake 0.015402
[600/5000][130/535][61682] Loss_D: -0.024343 Loss_G: 0.007630 Loss_D_real: -0.011250 Loss_D_fake 0.013093
[600/5000][135/535][61683] Loss_D: -0.023459 Loss_G: 0.036977 Loss_D_real: -0.033333 Loss_D_fake -0.009874
[600/5000][140/535][61684] Loss_D: -0.026984 Loss_G: 0.005162 Loss_D_real: -0.011869 Loss_D_fake 0.015115
[600/5000][145/535][61685] Loss_D: -0.024843 Loss_G: 0.021311 Loss_D_real: -0.021262 Loss_D_fake 0.003581
[600/5000][150/535][61686] Loss_D: -0.024224 Loss_G: 0.032064 Loss_D_real: -0.028319 Loss_D_fake -0.004095
[600/5000][155/535][61687] Loss_D: -0.026231 Loss_G: 0.018483 Loss_D_real: -0.015392 Loss_D_fake 0.010839
[600/5000][160/535][61688] Loss_D: -0.025173 Loss_G: 0.022329 Loss_D_real: -0.022807 Loss_D_fake 0.002367
[600/5000][165/535][61689] Loss_D: -0.025149 Loss_G: 0.007317 Loss_D_real: -0.006915 Loss_D_fake 0.018235
[600/5000][170/535][61690] Loss_D: -0.025010 Loss_G: 0.022320 Loss_D_real: -0.022558 Loss_D_fake 0.002452
[600/5000][175/535][61691] Loss_D: -0.024460 Loss_G: 0.023345 Loss_D_real: -0.021365 Loss_D_fake 0.003095
[600/5000][180/535][61692] Loss_D: -0.026320 Loss_G: 0.001772 Loss_D_real: -0.011544 Loss_D_fake 0.014776
[600/5000][185/535][61693] Loss_D: -0.025082 Loss_G: 0.007999 Loss_D_real: -0.016287 Loss_D_fake 0.008795
[600/5000][190/535][61694] Loss_D: -0.025889 Loss_G: -0.002555 Loss_D_real: 0.001184 Loss_D_fake 0.027074
[600/5000][195/535][61695] Loss_D: -0.025304 Loss_G: 0.034811 Loss_D_real: -0.028352 Loss_D_fake -0.003049
[600/5000][200/535][61696] Loss_D: -0.024726 Loss_G: -0.000369 Loss_D_real: 0.002490 Loss_D_fake 0.027215
[600/5000][205/535][61697] Loss_D: -0.025304 Loss_G: 0.028388 Loss_D_real: -0.021176 Loss_D_fake 0.004128
[600/5000][210/535][61698] Loss_D: -0.025523 Loss_G: -0.000285 Loss_D_real: -0.005558 Loss_D_fake 0.019965
[600/5000][215/535][61699] Loss_D: -0.024317 Loss_G: 0.030242 Loss_D_real: -0.027224 Loss_D_fake -0.002907
[600/5000][220/535][61700] Loss_D: -0.025303 Loss_G: 0.014309 Loss_D_real: -0.014375 Loss_D_fake 0.010928
[600/5000][225/535][61701] Loss_D: -0.023515 Loss_G: 0.015026 Loss_D_real: -0.023047 Loss_D_fake 0.000468
[600/5000][230/535][61702] Loss_D: -0.024998 Loss_G: -0.008670 Loss_D_real: 0.001008 Loss_D_fake 0.026006
[600/5000][235/535][61703] Loss_D: -0.024816 Loss_G: 0.013145 Loss_D_real: -0.021147 Loss_D_fake 0.003669
[600/5000][240/535][61704] Loss_D: -0.024721 Loss_G: 0.017269 Loss_D_real: -0.025680 Loss_D_fake -0.000959
[600/5000][245/535][61705] Loss_D: -0.024576 Loss_G: 0.024178 Loss_D_real: -0.012123 Loss_D_fake 0.012452
[600/5000][250/535][61706] Loss_D: -0.026165 Loss_G: 0.025729 Loss_D_real: -0.020593 Loss_D_fake 0.005571
[600/5000][255/535][61707] Loss_D: -0.025916 Loss_G: 0.022892 Loss_D_real: -0.012387 Loss_D_fake 0.013530
[600/5000][260/535][61708] Loss_D: -0.025210 Loss_G: 0.034223 Loss_D_real: -0.017072 Loss_D_fake 0.008138
[600/5000][265/535][61709] Loss_D: -0.024924 Loss_G: 0.023139 Loss_D_real: -0.024631 Loss_D_fake 0.000293
[600/5000][270/535][61710] Loss_D: -0.025151 Loss_G: 0.018244 Loss_D_real: -0.017145 Loss_D_fake 0.008006
[600/5000][275/535][61711] Loss_D: -0.024895 Loss_G: 0.022586 Loss_D_real: -0.026643 Loss_D_fake -0.001749
[600/5000][280/535][61712] Loss_D: -0.025790 Loss_G: -0.001146 Loss_D_real: -0.000158 Loss_D_fake 0.025632
[600/5000][285/535][61713] Loss_D: -0.024757 Loss_G: -0.002982 Loss_D_real: -0.001746 Loss_D_fake 0.023012
[600/5000][290/535][61714] Loss_D: -0.024323 Loss_G: 0.001555 Loss_D_real: -0.018452 Loss_D_fake 0.005871
[600/5000][295/535][61715] Loss_D: -0.024477 Loss_G: 0.028598 Loss_D_real: -0.024734 Loss_D_fake -0.000257
[600/5000][300/535][61716] Loss_D: -0.025448 Loss_G: 0.006167 Loss_D_real: -0.002602 Loss_D_fake 0.022846
[600/5000][305/535][61717] Loss_D: -0.024034 Loss_G: 0.020062 Loss_D_real: -0.017262 Loss_D_fake 0.006772
[600/5000][310/535][61718] Loss_D: -0.024709 Loss_G: -0.008413 Loss_D_real: -0.007977 Loss_D_fake 0.016732
[600/5000][315/535][61719] Loss_D: -0.024508 Loss_G: -0.001447 Loss_D_real: -0.011680 Loss_D_fake 0.012827
[600/5000][320/535][61720] Loss_D: -0.025522 Loss_G: 0.016637 Loss_D_real: -0.022210 Loss_D_fake 0.003313
[600/5000][325/535][61721] Loss_D: -0.025695 Loss_G: 0.010240 Loss_D_real: -0.019492 Loss_D_fake 0.006204
[600/5000][330/535][61722] Loss_D: -0.024764 Loss_G: 0.034473 Loss_D_real: -0.028609 Loss_D_fake -0.003845
[600/5000][335/535][61723] Loss_D: -0.024062 Loss_G: -0.006693 Loss_D_real: 0.002307 Loss_D_fake 0.026369
[600/5000][340/535][61724] Loss_D: -0.025541 Loss_G: 0.029333 Loss_D_real: -0.027664 Loss_D_fake -0.002123
[600/5000][345/535][61725] Loss_D: -0.025071 Loss_G: 0.015882 Loss_D_real: -0.017120 Loss_D_fake 0.007952
[600/5000][350/535][61726] Loss_D: -0.024987 Loss_G: 0.017491 Loss_D_real: -0.015034 Loss_D_fake 0.009953
[600/5000][355/535][61727] Loss_D: -0.023337 Loss_G: 0.032747 Loss_D_real: -0.027589 Loss_D_fake -0.004253
[600/5000][360/535][61728] Loss_D: -0.025086 Loss_G: -0.002693 Loss_D_real: -0.010236 Loss_D_fake 0.014850
[600/5000][365/535][61729] Loss_D: -0.024783 Loss_G: 0.032409 Loss_D_real: -0.025352 Loss_D_fake -0.000569
[600/5000][370/535][61730] Loss_D: -0.024772 Loss_G: 0.002494 Loss_D_real: -0.011434 Loss_D_fake 0.013337
[600/5000][375/535][61731] Loss_D: -0.024666 Loss_G: 0.034264 Loss_D_real: -0.025155 Loss_D_fake -0.000489
[600/5000][380/535][61732] Loss_D: -0.026346 Loss_G: 0.009888 Loss_D_real: -0.008663 Loss_D_fake 0.017683
[600/5000][385/535][61733] Loss_D: -0.025678 Loss_G: 0.013206 Loss_D_real: -0.014794 Loss_D_fake 0.010883
[600/5000][390/535][61734] Loss_D: -0.026009 Loss_G: 0.000135 Loss_D_real: -0.008390 Loss_D_fake 0.017620
[600/5000][395/535][61735] Loss_D: -0.024093 Loss_G: -0.000604 Loss_D_real: -0.001279 Loss_D_fake 0.022815
[600/5000][400/535][61736] Loss_D: -0.026164 Loss_G: 0.017082 Loss_D_real: -0.010693 Loss_D_fake 0.015471
[600/5000][405/535][61737] Loss_D: -0.026498 Loss_G: 0.027427 Loss_D_real: -0.010334 Loss_D_fake 0.016164
[600/5000][410/535][61738] Loss_D: -0.025472 Loss_G: 0.016756 Loss_D_real: -0.012485 Loss_D_fake 0.012987
[600/5000][415/535][61739] Loss_D: -0.025010 Loss_G: -0.002166 Loss_D_real: -0.012461 Loss_D_fake 0.012548
[600/5000][420/535][61740] Loss_D: -0.026219 Loss_G: 0.016604 Loss_D_real: -0.019121 Loss_D_fake 0.007098
[600/5000][425/535][61741] Loss_D: -0.026850 Loss_G: 0.028215 Loss_D_real: -0.018926 Loss_D_fake 0.007924
[600/5000][430/535][61742] Loss_D: -0.025193 Loss_G: -0.008099 Loss_D_real: -0.000690 Loss_D_fake 0.024504
[600/5000][435/535][61743] Loss_D: -0.025728 Loss_G: 0.017031 Loss_D_real: -0.015232 Loss_D_fake 0.010496
[600/5000][440/535][61744] Loss_D: -0.025791 Loss_G: 0.027142 Loss_D_real: -0.015659 Loss_D_fake 0.010132
[600/5000][445/535][61745] Loss_D: -0.025039 Loss_G: 0.016779 Loss_D_real: -0.008176 Loss_D_fake 0.016863
[600/5000][450/535][61746] Loss_D: -0.024704 Loss_G: 0.035914 Loss_D_real: -0.028658 Loss_D_fake -0.003954
[600/5000][455/535][61747] Loss_D: -0.026038 Loss_G: 0.014146 Loss_D_real: -0.006166 Loss_D_fake 0.019872
[600/5000][460/535][61748] Loss_D: -0.024947 Loss_G: 0.028248 Loss_D_real: -0.020149 Loss_D_fake 0.004799
[600/5000][465/535][61749] Loss_D: -0.025219 Loss_G: 0.007472 Loss_D_real: -0.012166 Loss_D_fake 0.013053
[600/5000][470/535][61750] Loss_D: -0.024803 Loss_G: -0.008002 Loss_D_real: -0.009805 Loss_D_fake 0.014998
[600/5000][475/535][61751] Loss_D: -0.024208 Loss_G: 0.023519 Loss_D_real: -0.029299 Loss_D_fake -0.005091
[600/5000][480/535][61752] Loss_D: -0.024958 Loss_G: 0.026818 Loss_D_real: -0.016903 Loss_D_fake 0.008055
[600/5000][485/535][61753] Loss_D: -0.024461 Loss_G: 0.004289 Loss_D_real: -0.010286 Loss_D_fake 0.014175
[600/5000][490/535][61754] Loss_D: -0.022196 Loss_G: 0.035268 Loss_D_real: -0.026218 Loss_D_fake -0.004022
[600/5000][495/535][61755] Loss_D: -0.024164 Loss_G: -0.001957 Loss_D_real: -0.006763 Loss_D_fake 0.017401
[600/5000][500/535][61756] Loss_D: -0.023570 Loss_G: 0.014388 Loss_D_real: -0.009223 Loss_D_fake 0.014347
[600/5000][505/535][61757] Loss_D: -0.026583 Loss_G: 0.010966 Loss_D_real: -0.014505 Loss_D_fake 0.012078
[600/5000][510/535][61758] Loss_D: -0.026260 Loss_G: -0.007712 Loss_D_real: -0.002486 Loss_D_fake 0.023773
[600/5000][515/535][61759] Loss_D: -0.024868 Loss_G: 0.035823 Loss_D_real: -0.028422 Loss_D_fake -0.003554
[600/5000][520/535][61760] Loss_D: -0.025563 Loss_G: 0.000102 Loss_D_real: -0.009325 Loss_D_fake 0.016238
[600/5000][525/535][61761] Loss_D: -0.025140 Loss_G: 0.018701 Loss_D_real: -0.017452 Loss_D_fake 0.007688
[600/5000][530/535][61762] Loss_D: -0.024790 Loss_G: 0.027034 Loss_D_real: -0.019598 Loss_D_fake 0.005191
[600/5000][535/535][61763] Loss_D: -0.030584 Loss_G: 0.036071 Loss_D_real: -0.002607 Loss_D_fake 0.027977
[601/5000][5/535][61764] Loss_D: -0.024583 Loss_G: 0.012919 Loss_D_real: -0.019202 Loss_D_fake 0.005381
[601/5000][10/535][61765] Loss_D: -0.024570 Loss_G: 0.027235 Loss_D_real: -0.033296 Loss_D_fake -0.008726
[601/5000][15/535][61766] Loss_D: -0.025054 Loss_G: 0.028234 Loss_D_real: -0.017162 Loss_D_fake 0.007892
[601/5000][20/535][61767] Loss_D: -0.024934 Loss_G: -0.008320 Loss_D_real: -0.009218 Loss_D_fake 0.015716
[601/5000][25/535][61768] Loss_D: -0.024556 Loss_G: 0.006368 Loss_D_real: -0.014565 Loss_D_fake 0.009991
[601/5000][30/535][61769] Loss_D: -0.025229 Loss_G: 0.026251 Loss_D_real: -0.019093 Loss_D_fake 0.006136
[601/5000][35/535][61770] Loss_D: -0.025239 Loss_G: 0.023395 Loss_D_real: -0.019117 Loss_D_fake 0.006121
[601/5000][40/535][61771] Loss_D: -0.024975 Loss_G: 0.030011 Loss_D_real: -0.033764 Loss_D_fake -0.008789
[601/5000][45/535][61772] Loss_D: -0.026388 Loss_G: 0.017950 Loss_D_real: -0.013860 Loss_D_fake 0.012528
[601/5000][50/535][61773] Loss_D: -0.024872 Loss_G: 0.002560 Loss_D_real: -0.006193 Loss_D_fake 0.018679
[601/5000][55/535][61774] Loss_D: -0.023963 Loss_G: 0.021965 Loss_D_real: -0.018155 Loss_D_fake 0.005809
[601/5000][60/535][61775] Loss_D: -0.025113 Loss_G: -0.001900 Loss_D_real: -0.006558 Loss_D_fake 0.018556
[601/5000][65/535][61776] Loss_D: -0.024357 Loss_G: 0.038446 Loss_D_real: -0.025615 Loss_D_fake -0.001258
[601/5000][70/535][61777] Loss_D: -0.025672 Loss_G: 0.003917 Loss_D_real: -0.001837 Loss_D_fake 0.023834
[601/5000][75/535][61778] Loss_D: -0.024913 Loss_G: 0.011837 Loss_D_real: -0.020634 Loss_D_fake 0.004280
[601/5000][80/535][61779] Loss_D: -0.025246 Loss_G: -0.011061 Loss_D_real: 0.001290 Loss_D_fake 0.026535
[601/5000][85/535][61780] Loss_D: -0.022845 Loss_G: 0.015475 Loss_D_real: -0.017805 Loss_D_fake 0.005040
[601/5000][90/535][61781] Loss_D: -0.024153 Loss_G: 0.039028 Loss_D_real: -0.034799 Loss_D_fake -0.010646
[601/5000][95/535][61782] Loss_D: -0.023394 Loss_G: 0.035328 Loss_D_real: -0.027938 Loss_D_fake -0.004544
[601/5000][100/535][61783] Loss_D: -0.022977 Loss_G: 0.034557 Loss_D_real: -0.026291 Loss_D_fake -0.003314
[601/5000][105/535][61784] Loss_D: -0.025781 Loss_G: 0.003396 Loss_D_real: 0.004432 Loss_D_fake 0.030212
[601/5000][110/535][61785] Loss_D: -0.024431 Loss_G: 0.027967 Loss_D_real: -0.020299 Loss_D_fake 0.004131
[601/5000][115/535][61786] Loss_D: -0.024893 Loss_G: 0.002887 Loss_D_real: -0.008817 Loss_D_fake 0.016077
[601/5000][120/535][61787] Loss_D: -0.025052 Loss_G: 0.013975 Loss_D_real: -0.016042 Loss_D_fake 0.009010
[601/5000][125/535][61788] Loss_D: -0.025182 Loss_G: 0.029029 Loss_D_real: -0.020284 Loss_D_fake 0.004899
[601/5000][130/535][61789] Loss_D: -0.025027 Loss_G: 0.023025 Loss_D_real: -0.031696 Loss_D_fake -0.006669
[601/5000][135/535][61790] Loss_D: -0.025715 Loss_G: -0.004132 Loss_D_real: -0.008823 Loss_D_fake 0.016892
[601/5000][140/535][61791] Loss_D: -0.025810 Loss_G: 0.013901 Loss_D_real: -0.012821 Loss_D_fake 0.012989
[601/5000][145/535][61792] Loss_D: -0.025770 Loss_G: 0.017473 Loss_D_real: -0.021834 Loss_D_fake 0.003936
[601/5000][150/535][61793] Loss_D: -0.026441 Loss_G: 0.018186 Loss_D_real: -0.014084 Loss_D_fake 0.012357
[601/5000][155/535][61794] Loss_D: -0.024691 Loss_G: 0.023796 Loss_D_real: -0.013139 Loss_D_fake 0.011553
[601/5000][160/535][61795] Loss_D: -0.024872 Loss_G: 0.021036 Loss_D_real: -0.012728 Loss_D_fake 0.012144
[601/5000][165/535][61796] Loss_D: -0.025641 Loss_G: 0.027880 Loss_D_real: -0.024775 Loss_D_fake 0.000867
[601/5000][170/535][61797] Loss_D: -0.026605 Loss_G: 0.008007 Loss_D_real: -0.016368 Loss_D_fake 0.010236
[601/5000][175/535][61798] Loss_D: -0.025714 Loss_G: 0.006397 Loss_D_real: -0.001539 Loss_D_fake 0.024175
[601/5000][180/535][61799] Loss_D: -0.024277 Loss_G: 0.008053 Loss_D_real: -0.012299 Loss_D_fake 0.011978
[601/5000][185/535][61800] Loss_D: -0.023595 Loss_G: 0.018929 Loss_D_real: -0.026969 Loss_D_fake -0.003374
[601/5000][190/535][61801] Loss_D: -0.024300 Loss_G: 0.030016 Loss_D_real: -0.027312 Loss_D_fake -0.003012
[601/5000][195/535][61802] Loss_D: -0.025033 Loss_G: 0.030447 Loss_D_real: -0.024353 Loss_D_fake 0.000680
[601/5000][200/535][61803] Loss_D: -0.023746 Loss_G: 0.030649 Loss_D_real: -0.026884 Loss_D_fake -0.003138
[601/5000][205/535][61804] Loss_D: -0.025931 Loss_G: 0.021262 Loss_D_real: -0.023905 Loss_D_fake 0.002026
[601/5000][210/535][61805] Loss_D: -0.024701 Loss_G: -0.003359 Loss_D_real: -0.016047 Loss_D_fake 0.008654
[601/5000][215/535][61806] Loss_D: -0.023769 Loss_G: 0.006069 Loss_D_real: -0.005325 Loss_D_fake 0.018444
[601/5000][220/535][61807] Loss_D: -0.023895 Loss_G: 0.011447 Loss_D_real: -0.010928 Loss_D_fake 0.012967
[601/5000][225/535][61808] Loss_D: -0.022874 Loss_G: 0.029694 Loss_D_real: -0.020617 Loss_D_fake 0.002257
[601/5000][230/535][61809] Loss_D: -0.024965 Loss_G: 0.010449 Loss_D_real: -0.011679 Loss_D_fake 0.013286
[601/5000][235/535][61810] Loss_D: -0.024863 Loss_G: -0.009637 Loss_D_real: -0.000856 Loss_D_fake 0.024007
[601/5000][240/535][61811] Loss_D: -0.026011 Loss_G: -0.001524 Loss_D_real: -0.008895 Loss_D_fake 0.017116
[601/5000][245/535][61812] Loss_D: -0.023442 Loss_G: 0.037925 Loss_D_real: -0.028167 Loss_D_fake -0.004726
[601/5000][250/535][61813] Loss_D: -0.024764 Loss_G: 0.018703 Loss_D_real: -0.021511 Loss_D_fake 0.003252
[601/5000][255/535][61814] Loss_D: -0.025307 Loss_G: -0.006395 Loss_D_real: -0.000928 Loss_D_fake 0.024379
[601/5000][260/535][61815] Loss_D: -0.024437 Loss_G: 0.007407 Loss_D_real: -0.019547 Loss_D_fake 0.004889
[601/5000][265/535][61816] Loss_D: -0.024655 Loss_G: -0.003949 Loss_D_real: -0.007447 Loss_D_fake 0.017208
[601/5000][270/535][61817] Loss_D: -0.025626 Loss_G: 0.001882 Loss_D_real: -0.006079 Loss_D_fake 0.019546
[601/5000][275/535][61818] Loss_D: -0.024180 Loss_G: 0.034495 Loss_D_real: -0.030589 Loss_D_fake -0.006408
[601/5000][280/535][61819] Loss_D: -0.024988 Loss_G: 0.015803 Loss_D_real: -0.010558 Loss_D_fake 0.014430
[601/5000][285/535][61820] Loss_D: -0.024319 Loss_G: 0.018344 Loss_D_real: -0.022580 Loss_D_fake 0.001739
[601/5000][290/535][61821] Loss_D: -0.025237 Loss_G: 0.007620 Loss_D_real: -0.023113 Loss_D_fake 0.002124
[601/5000][295/535][61822] Loss_D: -0.025933 Loss_G: 0.009460 Loss_D_real: -0.011808 Loss_D_fake 0.014126
[601/5000][300/535][61823] Loss_D: -0.025120 Loss_G: 0.012663 Loss_D_real: -0.019067 Loss_D_fake 0.006053
[601/5000][305/535][61824] Loss_D: -0.024719 Loss_G: 0.005193 Loss_D_real: -0.012316 Loss_D_fake 0.012403
[601/5000][310/535][61825] Loss_D: -0.023881 Loss_G: 0.031378 Loss_D_real: -0.028899 Loss_D_fake -0.005017
[601/5000][315/535][61826] Loss_D: -0.024349 Loss_G: 0.011008 Loss_D_real: -0.012895 Loss_D_fake 0.011454
[601/5000][320/535][61827] Loss_D: -0.026225 Loss_G: 0.013323 Loss_D_real: -0.008130 Loss_D_fake 0.018095
[601/5000][325/535][61828] Loss_D: -0.024385 Loss_G: -0.012991 Loss_D_real: -0.002792 Loss_D_fake 0.021593
[601/5000][330/535][61829] Loss_D: -0.025524 Loss_G: 0.033979 Loss_D_real: -0.026539 Loss_D_fake -0.001015
[601/5000][335/535][61830] Loss_D: -0.026379 Loss_G: 0.022094 Loss_D_real: -0.019795 Loss_D_fake 0.006584
[601/5000][340/535][61831] Loss_D: -0.025471 Loss_G: 0.009749 Loss_D_real: -0.013022 Loss_D_fake 0.012449
[601/5000][345/535][61832] Loss_D: -0.025254 Loss_G: 0.033733 Loss_D_real: -0.032234 Loss_D_fake -0.006980
[601/5000][350/535][61833] Loss_D: -0.024250 Loss_G: -0.004586 Loss_D_real: 0.005989 Loss_D_fake 0.030239
[601/5000][355/535][61834] Loss_D: -0.025707 Loss_G: 0.023453 Loss_D_real: -0.019583 Loss_D_fake 0.006124
[601/5000][360/535][61835] Loss_D: -0.022220 Loss_G: -0.020161 Loss_D_real: 0.000429 Loss_D_fake 0.022650
[601/5000][365/535][61836] Loss_D: -0.024761 Loss_G: 0.017884 Loss_D_real: -0.010904 Loss_D_fake 0.013857
[601/5000][370/535][61837] Loss_D: -0.023727 Loss_G: -0.009346 Loss_D_real: 0.003647 Loss_D_fake 0.027374
[601/5000][375/535][61838] Loss_D: -0.024743 Loss_G: 0.023651 Loss_D_real: -0.021818 Loss_D_fake 0.002925
[601/5000][380/535][61839] Loss_D: -0.024278 Loss_G: 0.018826 Loss_D_real: -0.020377 Loss_D_fake 0.003902
[601/5000][385/535][61840] Loss_D: -0.025512 Loss_G: 0.020987 Loss_D_real: -0.025939 Loss_D_fake -0.000427
[601/5000][390/535][61841] Loss_D: -0.024319 Loss_G: -0.002333 Loss_D_real: -0.001970 Loss_D_fake 0.022349
[601/5000][395/535][61842] Loss_D: -0.023987 Loss_G: 0.018197 Loss_D_real: -0.027123 Loss_D_fake -0.003136
[601/5000][400/535][61843] Loss_D: -0.025484 Loss_G: -0.004996 Loss_D_real: 0.009330 Loss_D_fake 0.034815
[601/5000][405/535][61844] Loss_D: -0.025862 Loss_G: 0.017971 Loss_D_real: -0.006810 Loss_D_fake 0.019052
[601/5000][410/535][61845] Loss_D: -0.025344 Loss_G: 0.017706 Loss_D_real: -0.025276 Loss_D_fake 0.000068
[601/5000][415/535][61846] Loss_D: -0.025375 Loss_G: 0.026240 Loss_D_real: -0.017237 Loss_D_fake 0.008138
[601/5000][420/535][61847] Loss_D: -0.024430 Loss_G: 0.019766 Loss_D_real: -0.018797 Loss_D_fake 0.005633
[601/5000][425/535][61848] Loss_D: -0.024324 Loss_G: 0.002945 Loss_D_real: -0.017884 Loss_D_fake 0.006439
[601/5000][430/535][61849] Loss_D: -0.026304 Loss_G: 0.005546 Loss_D_real: -0.004982 Loss_D_fake 0.021322
[601/5000][435/535][61850] Loss_D: -0.025556 Loss_G: 0.004889 Loss_D_real: -0.004168 Loss_D_fake 0.021388
[601/5000][440/535][61851] Loss_D: -0.023451 Loss_G: -0.013154 Loss_D_real: -0.003546 Loss_D_fake 0.019905
[601/5000][445/535][61852] Loss_D: -0.025164 Loss_G: 0.025868 Loss_D_real: -0.023420 Loss_D_fake 0.001744
[601/5000][450/535][61853] Loss_D: -0.024898 Loss_G: 0.007653 Loss_D_real: -0.000962 Loss_D_fake 0.023936
[601/5000][455/535][61854] Loss_D: -0.024082 Loss_G: 0.005510 Loss_D_real: -0.006572 Loss_D_fake 0.017510
[601/5000][460/535][61855] Loss_D: -0.025516 Loss_G: 0.009608 Loss_D_real: -0.006640 Loss_D_fake 0.018876
[601/5000][465/535][61856] Loss_D: -0.025294 Loss_G: 0.028390 Loss_D_real: -0.022628 Loss_D_fake 0.002666
[601/5000][470/535][61857] Loss_D: -0.024663 Loss_G: 0.023879 Loss_D_real: -0.027213 Loss_D_fake -0.002549
[601/5000][475/535][61858] Loss_D: -0.026446 Loss_G: 0.003433 Loss_D_real: -0.012247 Loss_D_fake 0.014199
[601/5000][480/535][61859] Loss_D: -0.024641 Loss_G: -0.005522 Loss_D_real: -0.009417 Loss_D_fake 0.015224
[601/5000][485/535][61860] Loss_D: -0.025217 Loss_G: 0.026890 Loss_D_real: -0.027173 Loss_D_fake -0.001957
[601/5000][490/535][61861] Loss_D: -0.024988 Loss_G: 0.020494 Loss_D_real: -0.026510 Loss_D_fake -0.001522
[601/5000][495/535][61862] Loss_D: -0.026010 Loss_G: 0.021959 Loss_D_real: -0.017429 Loss_D_fake 0.008581
[601/5000][500/535][61863] Loss_D: -0.023365 Loss_G: 0.036907 Loss_D_real: -0.034927 Loss_D_fake -0.011562
[601/5000][505/535][61864] Loss_D: -0.026402 Loss_G: 0.004745 Loss_D_real: -0.008501 Loss_D_fake 0.017901
[601/5000][510/535][61865] Loss_D: -0.024282 Loss_G: 0.012652 Loss_D_real: -0.016761 Loss_D_fake 0.007521
[601/5000][515/535][61866] Loss_D: -0.024260 Loss_G: -0.004515 Loss_D_real: 0.000970 Loss_D_fake 0.025230
[601/5000][520/535][61867] Loss_D: -0.023958 Loss_G: 0.025411 Loss_D_real: -0.015229 Loss_D_fake 0.008729
[601/5000][525/535][61868] Loss_D: -0.024680 Loss_G: 0.005006 Loss_D_real: -0.008741 Loss_D_fake 0.015940
[601/5000][530/535][61869] Loss_D: -0.024305 Loss_G: 0.025380 Loss_D_real: -0.028133 Loss_D_fake -0.003828
[601/5000][535/535][61870] Loss_D: -0.027536 Loss_G: 0.008186 Loss_D_real: -0.004519 Loss_D_fake 0.023017
[602/5000][5/535][61871] Loss_D: -0.025954 Loss_G: 0.015135 Loss_D_real: -0.023215 Loss_D_fake 0.002739
[602/5000][10/535][61872] Loss_D: -0.024468 Loss_G: 0.011984 Loss_D_real: -0.016993 Loss_D_fake 0.007474
[602/5000][15/535][61873] Loss_D: -0.023930 Loss_G: 0.014102 Loss_D_real: -0.015108 Loss_D_fake 0.008822
[602/5000][20/535][61874] Loss_D: -0.024258 Loss_G: 0.017790 Loss_D_real: -0.017157 Loss_D_fake 0.007101
[602/5000][25/535][61875] Loss_D: -0.025618 Loss_G: 0.015590 Loss_D_real: -0.009076 Loss_D_fake 0.016541
[602/5000][30/535][61876] Loss_D: -0.022839 Loss_G: 0.038952 Loss_D_real: -0.022647 Loss_D_fake 0.000192
[602/5000][35/535][61877] Loss_D: -0.024419 Loss_G: 0.007998 Loss_D_real: -0.018228 Loss_D_fake 0.006191
[602/5000][40/535][61878] Loss_D: -0.025389 Loss_G: 0.008870 Loss_D_real: -0.014232 Loss_D_fake 0.011157
[602/5000][45/535][61879] Loss_D: -0.026101 Loss_G: 0.019055 Loss_D_real: -0.017572 Loss_D_fake 0.008529
[602/5000][50/535][61880] Loss_D: -0.024719 Loss_G: -0.004828 Loss_D_real: 0.003857 Loss_D_fake 0.028576
[602/5000][55/535][61881] Loss_D: -0.024242 Loss_G: 0.006326 Loss_D_real: -0.029332 Loss_D_fake -0.005091
[602/5000][60/535][61882] Loss_D: -0.024500 Loss_G: 0.025554 Loss_D_real: -0.027580 Loss_D_fake -0.003079
[602/5000][65/535][61883] Loss_D: -0.024699 Loss_G: 0.008379 Loss_D_real: -0.009521 Loss_D_fake 0.015178
[602/5000][70/535][61884] Loss_D: -0.023353 Loss_G: -0.009111 Loss_D_real: 0.007382 Loss_D_fake 0.030735
[602/5000][75/535][61885] Loss_D: -0.023365 Loss_G: 0.017010 Loss_D_real: -0.025550 Loss_D_fake -0.002185
[602/5000][80/535][61886] Loss_D: -0.024884 Loss_G: 0.002267 Loss_D_real: -0.010249 Loss_D_fake 0.014635
[602/5000][85/535][61887] Loss_D: -0.024104 Loss_G: 0.020226 Loss_D_real: -0.024514 Loss_D_fake -0.000410
[602/5000][90/535][61888] Loss_D: -0.024423 Loss_G: -0.004445 Loss_D_real: -0.000087 Loss_D_fake 0.024336
[602/5000][95/535][61889] Loss_D: -0.024626 Loss_G: 0.018898 Loss_D_real: -0.020638 Loss_D_fake 0.003987
[602/5000][100/535][61890] Loss_D: -0.025191 Loss_G: 0.007391 Loss_D_real: -0.013161 Loss_D_fake 0.012030
[602/5000][105/535][61891] Loss_D: -0.025133 Loss_G: 0.006982 Loss_D_real: -0.007311 Loss_D_fake 0.017822
[602/5000][110/535][61892] Loss_D: -0.025172 Loss_G: -0.015472 Loss_D_real: 0.002532 Loss_D_fake 0.027704
[602/5000][115/535][61893] Loss_D: -0.024329 Loss_G: 0.017646 Loss_D_real: -0.017826 Loss_D_fake 0.006503
[602/5000][120/535][61894] Loss_D: -0.023968 Loss_G: 0.006299 Loss_D_real: -0.004261 Loss_D_fake 0.019707
[602/5000][125/535][61895] Loss_D: -0.024890 Loss_G: 0.013358 Loss_D_real: -0.014865 Loss_D_fake 0.010025
[602/5000][130/535][61896] Loss_D: -0.022923 Loss_G: -0.000490 Loss_D_real: 0.001012 Loss_D_fake 0.023935
[602/5000][135/535][61897] Loss_D: -0.026185 Loss_G: 0.023299 Loss_D_real: -0.020380 Loss_D_fake 0.005805
[602/5000][140/535][61898] Loss_D: -0.026643 Loss_G: 0.012634 Loss_D_real: -0.013065 Loss_D_fake 0.013577
[602/5000][145/535][61899] Loss_D: -0.025551 Loss_G: -0.004420 Loss_D_real: -0.004033 Loss_D_fake 0.021518
[602/5000][150/535][61900] Loss_D: -0.024313 Loss_G: 0.025068 Loss_D_real: -0.024136 Loss_D_fake 0.000177
[602/5000][155/535][61901] Loss_D: -0.025654 Loss_G: 0.005418 Loss_D_real: -0.001249 Loss_D_fake 0.024405
[602/5000][160/535][61902] Loss_D: -0.026058 Loss_G: 0.039915 Loss_D_real: -0.028529 Loss_D_fake -0.002471
[602/5000][165/535][61903] Loss_D: -0.024283 Loss_G: -0.003788 Loss_D_real: -0.011398 Loss_D_fake 0.012885
[602/5000][170/535][61904] Loss_D: -0.024774 Loss_G: 0.003397 Loss_D_real: -0.003928 Loss_D_fake 0.020846
[602/5000][175/535][61905] Loss_D: -0.025756 Loss_G: 0.018515 Loss_D_real: -0.014433 Loss_D_fake 0.011323
[602/5000][180/535][61906] Loss_D: -0.025620 Loss_G: -0.005072 Loss_D_real: -0.003561 Loss_D_fake 0.022059
[602/5000][185/535][61907] Loss_D: -0.026113 Loss_G: -0.000711 Loss_D_real: -0.002535 Loss_D_fake 0.023578
[602/5000][190/535][61908] Loss_D: -0.025080 Loss_G: 0.019001 Loss_D_real: -0.017766 Loss_D_fake 0.007314
[602/5000][195/535][61909] Loss_D: -0.023908 Loss_G: 0.036301 Loss_D_real: -0.034816 Loss_D_fake -0.010908
[602/5000][200/535][61910] Loss_D: -0.025988 Loss_G: 0.021019 Loss_D_real: -0.019747 Loss_D_fake 0.006241
[602/5000][205/535][61911] Loss_D: -0.025450 Loss_G: 0.017405 Loss_D_real: -0.027230 Loss_D_fake -0.001780
[602/5000][210/535][61912] Loss_D: -0.023368 Loss_G: 0.026042 Loss_D_real: -0.016875 Loss_D_fake 0.006493
[602/5000][215/535][61913] Loss_D: -0.024297 Loss_G: 0.025344 Loss_D_real: -0.032081 Loss_D_fake -0.007785
[602/5000][220/535][61914] Loss_D: -0.025601 Loss_G: -0.000722 Loss_D_real: 0.003366 Loss_D_fake 0.028967
[602/5000][225/535][61915] Loss_D: -0.023593 Loss_G: 0.011014 Loss_D_real: -0.014077 Loss_D_fake 0.009516
[602/5000][230/535][61916] Loss_D: -0.025196 Loss_G: 0.016179 Loss_D_real: -0.016815 Loss_D_fake 0.008381
[602/5000][235/535][61917] Loss_D: -0.024937 Loss_G: -0.002697 Loss_D_real: 0.001559 Loss_D_fake 0.026495
[602/5000][240/535][61918] Loss_D: -0.024430 Loss_G: 0.026338 Loss_D_real: -0.023138 Loss_D_fake 0.001292
[602/5000][245/535][61919] Loss_D: -0.024622 Loss_G: 0.009064 Loss_D_real: -0.012732 Loss_D_fake 0.011889
[602/5000][250/535][61920] Loss_D: -0.023999 Loss_G: 0.011312 Loss_D_real: -0.018718 Loss_D_fake 0.005280
[602/5000][255/535][61921] Loss_D: -0.026814 Loss_G: 0.033034 Loss_D_real: -0.028697 Loss_D_fake -0.001883
[602/5000][260/535][61922] Loss_D: -0.024400 Loss_G: 0.018712 Loss_D_real: -0.012075 Loss_D_fake 0.012325
[602/5000][265/535][61923] Loss_D: -0.023134 Loss_G: 0.009561 Loss_D_real: -0.014944 Loss_D_fake 0.008189
[602/5000][270/535][61924] Loss_D: -0.025104 Loss_G: -0.002928 Loss_D_real: -0.004308 Loss_D_fake 0.020796
[602/5000][275/535][61925] Loss_D: -0.023796 Loss_G: 0.005455 Loss_D_real: -0.002874 Loss_D_fake 0.020921
[602/5000][280/535][61926] Loss_D: -0.024788 Loss_G: 0.008632 Loss_D_real: -0.015510 Loss_D_fake 0.009278
[602/5000][285/535][61927] Loss_D: -0.023908 Loss_G: 0.019741 Loss_D_real: -0.018979 Loss_D_fake 0.004928
[602/5000][290/535][61928] Loss_D: -0.024801 Loss_G: -0.003508 Loss_D_real: -0.011011 Loss_D_fake 0.013789
[602/5000][295/535][61929] Loss_D: -0.023770 Loss_G: 0.025448 Loss_D_real: -0.021045 Loss_D_fake 0.002725
[602/5000][300/535][61930] Loss_D: -0.025857 Loss_G: 0.028218 Loss_D_real: -0.021557 Loss_D_fake 0.004299
[602/5000][305/535][61931] Loss_D: -0.025555 Loss_G: 0.019156 Loss_D_real: -0.024765 Loss_D_fake 0.000791
[602/5000][310/535][61932] Loss_D: -0.025984 Loss_G: -0.004781 Loss_D_real: -0.002444 Loss_D_fake 0.023540
[602/5000][315/535][61933] Loss_D: -0.024005 Loss_G: 0.034780 Loss_D_real: -0.025097 Loss_D_fake -0.001092
[602/5000][320/535][61934] Loss_D: -0.024839 Loss_G: 0.013388 Loss_D_real: -0.019794 Loss_D_fake 0.005045
[602/5000][325/535][61935] Loss_D: -0.023931 Loss_G: 0.034737 Loss_D_real: -0.032098 Loss_D_fake -0.008166
[602/5000][330/535][61936] Loss_D: -0.025969 Loss_G: 0.019595 Loss_D_real: -0.013912 Loss_D_fake 0.012057
[602/5000][335/535][61937] Loss_D: -0.024925 Loss_G: 0.010977 Loss_D_real: -0.012283 Loss_D_fake 0.012642
[602/5000][340/535][61938] Loss_D: -0.024569 Loss_G: 0.003896 Loss_D_real: -0.007277 Loss_D_fake 0.017291
[602/5000][345/535][61939] Loss_D: -0.025705 Loss_G: 0.008544 Loss_D_real: -0.014741 Loss_D_fake 0.010964
[602/5000][350/535][61940] Loss_D: -0.026683 Loss_G: 0.019484 Loss_D_real: -0.004324 Loss_D_fake 0.022359
[602/5000][355/535][61941] Loss_D: -0.025262 Loss_G: 0.022803 Loss_D_real: -0.023962 Loss_D_fake 0.001300
[602/5000][360/535][61942] Loss_D: -0.025057 Loss_G: -0.003357 Loss_D_real: -0.012479 Loss_D_fake 0.012579
[602/5000][365/535][61943] Loss_D: -0.026082 Loss_G: 0.028785 Loss_D_real: -0.021803 Loss_D_fake 0.004279
[602/5000][370/535][61944] Loss_D: -0.025776 Loss_G: -0.001412 Loss_D_real: -0.009730 Loss_D_fake 0.016045
[602/5000][375/535][61945] Loss_D: -0.024820 Loss_G: 0.031880 Loss_D_real: -0.030585 Loss_D_fake -0.005765
[602/5000][380/535][61946] Loss_D: -0.023998 Loss_G: -0.004449 Loss_D_real: 0.001989 Loss_D_fake 0.025988
[602/5000][385/535][61947] Loss_D: -0.025705 Loss_G: 0.024984 Loss_D_real: -0.010093 Loss_D_fake 0.015612
[602/5000][390/535][61948] Loss_D: -0.025005 Loss_G: 0.009251 Loss_D_real: -0.011539 Loss_D_fake 0.013466
[602/5000][395/535][61949] Loss_D: -0.024405 Loss_G: 0.002077 Loss_D_real: -0.009881 Loss_D_fake 0.014523
[602/5000][400/535][61950] Loss_D: -0.024065 Loss_G: 0.025611 Loss_D_real: -0.022945 Loss_D_fake 0.001120
[602/5000][405/535][61951] Loss_D: -0.024416 Loss_G: 0.002418 Loss_D_real: -0.008244 Loss_D_fake 0.016172
[602/5000][410/535][61952] Loss_D: -0.024594 Loss_G: -0.003726 Loss_D_real: -0.011034 Loss_D_fake 0.013560
[602/5000][415/535][61953] Loss_D: -0.024890 Loss_G: 0.018674 Loss_D_real: -0.029826 Loss_D_fake -0.004936
[602/5000][420/535][61954] Loss_D: -0.023490 Loss_G: 0.032043 Loss_D_real: -0.022007 Loss_D_fake 0.001483
[602/5000][425/535][61955] Loss_D: -0.024506 Loss_G: 0.003679 Loss_D_real: -0.010718 Loss_D_fake 0.013789
[602/5000][430/535][61956] Loss_D: -0.023743 Loss_G: 0.035204 Loss_D_real: -0.030520 Loss_D_fake -0.006777
[602/5000][435/535][61957] Loss_D: -0.025470 Loss_G: 0.026482 Loss_D_real: -0.020474 Loss_D_fake 0.004996
[602/5000][440/535][61958] Loss_D: -0.024353 Loss_G: 0.026772 Loss_D_real: -0.020509 Loss_D_fake 0.003844
[602/5000][445/535][61959] Loss_D: -0.025001 Loss_G: 0.009789 Loss_D_real: -0.010935 Loss_D_fake 0.014066
[602/5000][450/535][61960] Loss_D: -0.025428 Loss_G: 0.004315 Loss_D_real: -0.002996 Loss_D_fake 0.022432
[602/5000][455/535][61961] Loss_D: -0.025844 Loss_G: 0.015908 Loss_D_real: -0.013680 Loss_D_fake 0.012164
[602/5000][460/535][61962] Loss_D: -0.026309 Loss_G: 0.015480 Loss_D_real: -0.009929 Loss_D_fake 0.016380
[602/5000][465/535][61963] Loss_D: -0.026090 Loss_G: 0.013363 Loss_D_real: -0.013542 Loss_D_fake 0.012548
[602/5000][470/535][61964] Loss_D: -0.024966 Loss_G: 0.016880 Loss_D_real: -0.019778 Loss_D_fake 0.005188
[602/5000][475/535][61965] Loss_D: -0.025697 Loss_G: 0.035885 Loss_D_real: -0.031533 Loss_D_fake -0.005836
[602/5000][480/535][61966] Loss_D: -0.025987 Loss_G: 0.019123 Loss_D_real: -0.018558 Loss_D_fake 0.007429
[602/5000][485/535][61967] Loss_D: -0.026256 Loss_G: 0.032343 Loss_D_real: -0.024190 Loss_D_fake 0.002067
[602/5000][490/535][61968] Loss_D: -0.024765 Loss_G: -0.004019 Loss_D_real: -0.007800 Loss_D_fake 0.016966
[602/5000][495/535][61969] Loss_D: -0.022270 Loss_G: 0.036559 Loss_D_real: -0.034233 Loss_D_fake -0.011964
[602/5000][500/535][61970] Loss_D: -0.025062 Loss_G: -0.006353 Loss_D_real: -0.005847 Loss_D_fake 0.019215
[602/5000][505/535][61971] Loss_D: -0.023456 Loss_G: 0.005390 Loss_D_real: -0.006324 Loss_D_fake 0.017132
[602/5000][510/535][61972] Loss_D: -0.023839 Loss_G: 0.031119 Loss_D_real: -0.022522 Loss_D_fake 0.001317
[602/5000][515/535][61973] Loss_D: -0.024903 Loss_G: 0.004921 Loss_D_real: -0.005597 Loss_D_fake 0.019306
[602/5000][520/535][61974] Loss_D: -0.023324 Loss_G: 0.014667 Loss_D_real: -0.008787 Loss_D_fake 0.014537
[602/5000][525/535][61975] Loss_D: -0.025347 Loss_G: 0.017940 Loss_D_real: -0.027211 Loss_D_fake -0.001864
[602/5000][530/535][61976] Loss_D: -0.026535 Loss_G: 0.023914 Loss_D_real: -0.026425 Loss_D_fake 0.000109
[602/5000][535/535][61977] Loss_D: -0.021234 Loss_G: 0.052237 Loss_D_real: -0.032786 Loss_D_fake -0.011552
[603/5000][5/535][61978] Loss_D: -0.024741 Loss_G: 0.020502 Loss_D_real: -0.018413 Loss_D_fake 0.006329
[603/5000][10/535][61979] Loss_D: -0.024585 Loss_G: 0.006010 Loss_D_real: -0.007994 Loss_D_fake 0.016591
[603/5000][15/535][61980] Loss_D: -0.023613 Loss_G: 0.011449 Loss_D_real: -0.016062 Loss_D_fake 0.007551
[603/5000][20/535][61981] Loss_D: -0.024120 Loss_G: 0.038242 Loss_D_real: -0.034680 Loss_D_fake -0.010560
[603/5000][25/535][61982] Loss_D: -0.024981 Loss_G: 0.011934 Loss_D_real: -0.021713 Loss_D_fake 0.003268
[603/5000][30/535][61983] Loss_D: -0.024745 Loss_G: -0.001841 Loss_D_real: -0.010323 Loss_D_fake 0.014422
[603/5000][35/535][61984] Loss_D: -0.025422 Loss_G: 0.015010 Loss_D_real: -0.010021 Loss_D_fake 0.015401
[603/5000][40/535][61985] Loss_D: -0.024252 Loss_G: 0.011975 Loss_D_real: -0.011347 Loss_D_fake 0.012905
[603/5000][45/535][61986] Loss_D: -0.025363 Loss_G: 0.004433 Loss_D_real: -0.005687 Loss_D_fake 0.019676
[603/5000][50/535][61987] Loss_D: -0.024914 Loss_G: 0.008793 Loss_D_real: -0.016015 Loss_D_fake 0.008899
[603/5000][55/535][61988] Loss_D: -0.024572 Loss_G: 0.032907 Loss_D_real: -0.033056 Loss_D_fake -0.008484
[603/5000][60/535][61989] Loss_D: -0.024224 Loss_G: 0.028395 Loss_D_real: -0.023816 Loss_D_fake 0.000409
[603/5000][65/535][61990] Loss_D: -0.024596 Loss_G: 0.012898 Loss_D_real: -0.015234 Loss_D_fake 0.009363
[603/5000][70/535][61991] Loss_D: -0.025338 Loss_G: 0.020652 Loss_D_real: -0.014710 Loss_D_fake 0.010629
[603/5000][75/535][61992] Loss_D: -0.025056 Loss_G: 0.018694 Loss_D_real: -0.015601 Loss_D_fake 0.009455
[603/5000][80/535][61993] Loss_D: -0.026171 Loss_G: 0.019443 Loss_D_real: -0.021052 Loss_D_fake 0.005118
[603/5000][85/535][61994] Loss_D: -0.024665 Loss_G: 0.030744 Loss_D_real: -0.024167 Loss_D_fake 0.000498
[603/5000][90/535][61995] Loss_D: -0.025496 Loss_G: 0.013236 Loss_D_real: -0.013727 Loss_D_fake 0.011769
[603/5000][95/535][61996] Loss_D: -0.024791 Loss_G: -0.004641 Loss_D_real: -0.003497 Loss_D_fake 0.021294
[603/5000][100/535][61997] Loss_D: -0.024776 Loss_G: 0.001328 Loss_D_real: 0.000589 Loss_D_fake 0.025365
[603/5000][105/535][61998] Loss_D: -0.024914 Loss_G: 0.025730 Loss_D_real: -0.028067 Loss_D_fake -0.003152
[603/5000][110/535][61999] Loss_D: -0.024711 Loss_G: 0.000771 Loss_D_real: 0.011690 Loss_D_fake 0.036401
[603/5000][115/535][62000] Loss_D: -0.022688 Loss_G: 0.027607 Loss_D_real: -0.027740 Loss_D_fake -0.005052
[603/5000][215/535][62001] Loss_D: -0.024189 Loss_G: -0.008233 Loss_D_real: 0.008071 Loss_D_fake 0.032260
[603/5000][220/535][62002] Loss_D: -0.026018 Loss_G: 0.028707 Loss_D_real: -0.014031 Loss_D_fake 0.011987
[603/5000][225/535][62003] Loss_D: -0.022992 Loss_G: -0.003107 Loss_D_real: -0.005221 Loss_D_fake 0.017771
[603/5000][230/535][62004] Loss_D: -0.022415 Loss_G: 0.020405 Loss_D_real: -0.021440 Loss_D_fake 0.000976
[603/5000][235/535][62005] Loss_D: -0.023047 Loss_G: 0.019000 Loss_D_real: -0.013534 Loss_D_fake 0.009513
[603/5000][240/535][62006] Loss_D: -0.024042 Loss_G: 0.023348 Loss_D_real: -0.018415 Loss_D_fake 0.005627
[603/5000][245/535][62007] Loss_D: -0.023450 Loss_G: 0.011840 Loss_D_real: -0.007389 Loss_D_fake 0.016061
[603/5000][250/535][62008] Loss_D: -0.023473 Loss_G: 0.018136 Loss_D_real: -0.019588 Loss_D_fake 0.003885
[603/5000][255/535][62009] Loss_D: -0.025261 Loss_G: -0.004416 Loss_D_real: 0.005664 Loss_D_fake 0.030925
[603/5000][260/535][62010] Loss_D: -0.025805 Loss_G: 0.008712 Loss_D_real: -0.011851 Loss_D_fake 0.013954
[603/5000][265/535][62011] Loss_D: -0.024148 Loss_G: 0.015334 Loss_D_real: -0.008128 Loss_D_fake 0.016021
[603/5000][270/535][62012] Loss_D: -0.024241 Loss_G: 0.018986 Loss_D_real: -0.015945 Loss_D_fake 0.008296
[603/5000][275/535][62013] Loss_D: -0.024256 Loss_G: 0.025896 Loss_D_real: -0.029013 Loss_D_fake -0.004757
[603/5000][280/535][62014] Loss_D: -0.025896 Loss_G: 0.019195 Loss_D_real: -0.015351 Loss_D_fake 0.010545
[603/5000][285/535][62015] Loss_D: -0.023532 Loss_G: -0.015787 Loss_D_real: 0.012287 Loss_D_fake 0.035820
[603/5000][290/535][62016] Loss_D: -0.022607 Loss_G: 0.006168 Loss_D_real: -0.016919 Loss_D_fake 0.005688
[603/5000][295/535][62017] Loss_D: -0.024548 Loss_G: 0.007536 Loss_D_real: -0.021965 Loss_D_fake 0.002583
[603/5000][300/535][62018] Loss_D: -0.025124 Loss_G: -0.005196 Loss_D_real: 0.002814 Loss_D_fake 0.027938
[603/5000][305/535][62019] Loss_D: -0.024510 Loss_G: 0.021073 Loss_D_real: -0.017103 Loss_D_fake 0.007408
[603/5000][310/535][62020] Loss_D: -0.025471 Loss_G: 0.018965 Loss_D_real: -0.020940 Loss_D_fake 0.004532
[603/5000][315/535][62021] Loss_D: -0.024547 Loss_G: 0.027165 Loss_D_real: -0.012518 Loss_D_fake 0.012030
[603/5000][320/535][62022] Loss_D: -0.025220 Loss_G: 0.016644 Loss_D_real: -0.033630 Loss_D_fake -0.008410
[603/5000][325/535][62023] Loss_D: -0.026153 Loss_G: 0.013300 Loss_D_real: -0.019892 Loss_D_fake 0.006261
[603/5000][330/535][62024] Loss_D: -0.027395 Loss_G: 0.006514 Loss_D_real: -0.007981 Loss_D_fake 0.019414
[603/5000][335/535][62025] Loss_D: -0.024642 Loss_G: 0.027947 Loss_D_real: -0.023333 Loss_D_fake 0.001309
[603/5000][340/535][62026] Loss_D: -0.024554 Loss_G: 0.020278 Loss_D_real: -0.017585 Loss_D_fake 0.006969
[603/5000][345/535][62027] Loss_D: -0.025476 Loss_G: 0.008849 Loss_D_real: -0.012753 Loss_D_fake 0.012723
[603/5000][350/535][62028] Loss_D: -0.024915 Loss_G: 0.021940 Loss_D_real: -0.027358 Loss_D_fake -0.002443
[603/5000][355/535][62029] Loss_D: -0.024127 Loss_G: 0.016359 Loss_D_real: -0.022761 Loss_D_fake 0.001367
[603/5000][360/535][62030] Loss_D: -0.025737 Loss_G: 0.010142 Loss_D_real: -0.010543 Loss_D_fake 0.015193
[603/5000][365/535][62031] Loss_D: -0.023755 Loss_G: 0.029328 Loss_D_real: -0.029611 Loss_D_fake -0.005856
[603/5000][370/535][62032] Loss_D: -0.024981 Loss_G: 0.003715 Loss_D_real: -0.015553 Loss_D_fake 0.009428
[603/5000][375/535][62033] Loss_D: -0.024717 Loss_G: 0.005907 Loss_D_real: -0.017178 Loss_D_fake 0.007538
[603/5000][380/535][62034] Loss_D: -0.024838 Loss_G: 0.023497 Loss_D_real: -0.034988 Loss_D_fake -0.010150
[603/5000][385/535][62035] Loss_D: -0.025623 Loss_G: 0.030144 Loss_D_real: -0.022093 Loss_D_fake 0.003530
[603/5000][390/535][62036] Loss_D: -0.025277 Loss_G: 0.027544 Loss_D_real: -0.025902 Loss_D_fake -0.000625
[603/5000][395/535][62037] Loss_D: -0.025178 Loss_G: 0.004313 Loss_D_real: -0.006805 Loss_D_fake 0.018373
[603/5000][400/535][62038] Loss_D: -0.024193 Loss_G: 0.003138 Loss_D_real: -0.006307 Loss_D_fake 0.017885
[603/5000][405/535][62039] Loss_D: -0.023894 Loss_G: 0.033423 Loss_D_real: -0.023111 Loss_D_fake 0.000783
[603/5000][410/535][62040] Loss_D: -0.024354 Loss_G: 0.026933 Loss_D_real: -0.024814 Loss_D_fake -0.000460
[603/5000][415/535][62041] Loss_D: -0.025170 Loss_G: 0.005729 Loss_D_real: -0.010245 Loss_D_fake 0.014925
[603/5000][420/535][62042] Loss_D: -0.025367 Loss_G: 0.017874 Loss_D_real: -0.020647 Loss_D_fake 0.004720
[603/5000][425/535][62043] Loss_D: -0.024873 Loss_G: 0.020421 Loss_D_real: -0.022754 Loss_D_fake 0.002119
[603/5000][430/535][62044] Loss_D: -0.025772 Loss_G: 0.010671 Loss_D_real: -0.009771 Loss_D_fake 0.016002
[603/5000][435/535][62045] Loss_D: -0.024024 Loss_G: 0.026365 Loss_D_real: -0.029584 Loss_D_fake -0.005560
[603/5000][440/535][62046] Loss_D: -0.025354 Loss_G: -0.009800 Loss_D_real: -0.001029 Loss_D_fake 0.024325
[603/5000][445/535][62047] Loss_D: -0.023506 Loss_G: 0.018672 Loss_D_real: -0.019597 Loss_D_fake 0.003909
[603/5000][450/535][62048] Loss_D: -0.025034 Loss_G: -0.005832 Loss_D_real: -0.000974 Loss_D_fake 0.024060
[603/5000][455/535][62049] Loss_D: -0.023454 Loss_G: 0.026411 Loss_D_real: -0.019050 Loss_D_fake 0.004405
[603/5000][460/535][62050] Loss_D: -0.024199 Loss_G: 0.003506 Loss_D_real: -0.002297 Loss_D_fake 0.021902
[603/5000][465/535][62051] Loss_D: -0.024452 Loss_G: 0.026477 Loss_D_real: -0.025108 Loss_D_fake -0.000656
[603/5000][470/535][62052] Loss_D: -0.025189 Loss_G: 0.019887 Loss_D_real: -0.023842 Loss_D_fake 0.001348
[603/5000][475/535][62053] Loss_D: -0.024353 Loss_G: -0.005761 Loss_D_real: -0.004295 Loss_D_fake 0.020058
[603/5000][480/535][62054] Loss_D: -0.024496 Loss_G: 0.012237 Loss_D_real: -0.011661 Loss_D_fake 0.012835
[603/5000][485/535][62055] Loss_D: -0.025043 Loss_G: 0.022215 Loss_D_real: -0.025134 Loss_D_fake -0.000091
[603/5000][490/535][62056] Loss_D: -0.023872 Loss_G: -0.015916 Loss_D_real: -0.000440 Loss_D_fake 0.023432
[603/5000][495/535][62057] Loss_D: -0.024492 Loss_G: 0.010945 Loss_D_real: -0.011420 Loss_D_fake 0.013071
[603/5000][500/535][62058] Loss_D: -0.023220 Loss_G: -0.007197 Loss_D_real: 0.006469 Loss_D_fake 0.029688
[603/5000][505/535][62059] Loss_D: -0.024050 Loss_G: 0.012126 Loss_D_real: -0.019924 Loss_D_fake 0.004126
[603/5000][510/535][62060] Loss_D: -0.024092 Loss_G: 0.030910 Loss_D_real: -0.019474 Loss_D_fake 0.004619
[603/5000][515/535][62061] Loss_D: -0.023408 Loss_G: -0.013631 Loss_D_real: 0.009611 Loss_D_fake 0.033018
[603/5000][520/535][62062] Loss_D: -0.025170 Loss_G: 0.025593 Loss_D_real: -0.014495 Loss_D_fake 0.010675
[603/5000][525/535][62063] Loss_D: -0.023546 Loss_G: 0.007757 Loss_D_real: -0.009738 Loss_D_fake 0.013808
[603/5000][530/535][62064] Loss_D: -0.023562 Loss_G: 0.024785 Loss_D_real: -0.017702 Loss_D_fake 0.005860
[603/5000][535/535][62065] Loss_D: -0.027066 Loss_G: 0.015493 Loss_D_real: -0.014861 Loss_D_fake 0.012205
[604/5000][5/535][62066] Loss_D: -0.025154 Loss_G: 0.005395 Loss_D_real: -0.016744 Loss_D_fake 0.008410
[604/5000][10/535][62067] Loss_D: -0.024225 Loss_G: 0.011026 Loss_D_real: -0.018765 Loss_D_fake 0.005460
[604/5000][15/535][62068] Loss_D: -0.024133 Loss_G: 0.017928 Loss_D_real: -0.012470 Loss_D_fake 0.011663
[604/5000][20/535][62069] Loss_D: -0.026454 Loss_G: 0.018731 Loss_D_real: -0.014791 Loss_D_fake 0.011663
[604/5000][25/535][62070] Loss_D: -0.023559 Loss_G: 0.019660 Loss_D_real: -0.017662 Loss_D_fake 0.005897
[604/5000][30/535][62071] Loss_D: -0.025946 Loss_G: 0.017625 Loss_D_real: -0.009390 Loss_D_fake 0.016556
[604/5000][35/535][62072] Loss_D: -0.025797 Loss_G: 0.012706 Loss_D_real: -0.019290 Loss_D_fake 0.006507
[604/5000][40/535][62073] Loss_D: -0.024826 Loss_G: 0.027366 Loss_D_real: -0.015466 Loss_D_fake 0.009360
[604/5000][45/535][62074] Loss_D: -0.025292 Loss_G: 0.027374 Loss_D_real: -0.021853 Loss_D_fake 0.003439
[604/5000][50/535][62075] Loss_D: -0.024355 Loss_G: -0.014436 Loss_D_real: 0.006284 Loss_D_fake 0.030639
[604/5000][55/535][62076] Loss_D: -0.024701 Loss_G: 0.012096 Loss_D_real: -0.015647 Loss_D_fake 0.009054
[604/5000][60/535][62077] Loss_D: -0.026153 Loss_G: 0.007686 Loss_D_real: -0.015275 Loss_D_fake 0.010878
[604/5000][65/535][62078] Loss_D: -0.025033 Loss_G: 0.002063 Loss_D_real: -0.007080 Loss_D_fake 0.017953
[604/5000][70/535][62079] Loss_D: -0.024035 Loss_G: 0.013448 Loss_D_real: -0.013916 Loss_D_fake 0.010119
[604/5000][75/535][62080] Loss_D: -0.024762 Loss_G: 0.000715 Loss_D_real: -0.007472 Loss_D_fake 0.017290
[604/5000][80/535][62081] Loss_D: -0.023855 Loss_G: 0.005402 Loss_D_real: -0.012295 Loss_D_fake 0.011560
[604/5000][85/535][62082] Loss_D: -0.024738 Loss_G: 0.016103 Loss_D_real: -0.018867 Loss_D_fake 0.005871
[604/5000][90/535][62083] Loss_D: -0.024463 Loss_G: 0.009984 Loss_D_real: -0.001191 Loss_D_fake 0.023272
[604/5000][95/535][62084] Loss_D: -0.025865 Loss_G: 0.033342 Loss_D_real: -0.024603 Loss_D_fake 0.001261
[604/5000][100/535][62085] Loss_D: -0.024948 Loss_G: 0.016674 Loss_D_real: -0.000732 Loss_D_fake 0.024216
[604/5000][105/535][62086] Loss_D: -0.025372 Loss_G: 0.014067 Loss_D_real: -0.011339 Loss_D_fake 0.014033
[604/5000][110/535][62087] Loss_D: -0.025828 Loss_G: 0.011141 Loss_D_real: -0.006476 Loss_D_fake 0.019352
[604/5000][115/535][62088] Loss_D: -0.025549 Loss_G: 0.009991 Loss_D_real: -0.012020 Loss_D_fake 0.013529
[604/5000][120/535][62089] Loss_D: -0.025585 Loss_G: 0.024915 Loss_D_real: -0.019102 Loss_D_fake 0.006482
[604/5000][125/535][62090] Loss_D: -0.025336 Loss_G: 0.000131 Loss_D_real: -0.008437 Loss_D_fake 0.016899
[604/5000][130/535][62091] Loss_D: -0.024130 Loss_G: 0.015263 Loss_D_real: -0.019690 Loss_D_fake 0.004441
[604/5000][135/535][62092] Loss_D: -0.025915 Loss_G: 0.008813 Loss_D_real: -0.012017 Loss_D_fake 0.013897
[604/5000][140/535][62093] Loss_D: -0.024577 Loss_G: 0.025112 Loss_D_real: -0.021166 Loss_D_fake 0.003411
[604/5000][145/535][62094] Loss_D: -0.024001 Loss_G: -0.017789 Loss_D_real: 0.003248 Loss_D_fake 0.027249
[604/5000][150/535][62095] Loss_D: -0.024802 Loss_G: 0.017994 Loss_D_real: -0.013879 Loss_D_fake 0.010923
[604/5000][155/535][62096] Loss_D: -0.024486 Loss_G: 0.007259 Loss_D_real: -0.005956 Loss_D_fake 0.018530
[604/5000][160/535][62097] Loss_D: -0.024383 Loss_G: 0.006432 Loss_D_real: -0.010160 Loss_D_fake 0.014223
[604/5000][165/535][62098] Loss_D: -0.024222 Loss_G: 0.005901 Loss_D_real: -0.003857 Loss_D_fake 0.020365
[604/5000][170/535][62099] Loss_D: -0.026228 Loss_G: 0.037590 Loss_D_real: -0.030031 Loss_D_fake -0.003803
[604/5000][175/535][62100] Loss_D: -0.024419 Loss_G: 0.029452 Loss_D_real: -0.027338 Loss_D_fake -0.002919
[604/5000][180/535][62101] Loss_D: -0.025686 Loss_G: 0.013562 Loss_D_real: -0.015081 Loss_D_fake 0.010605
[604/5000][185/535][62102] Loss_D: -0.026016 Loss_G: 0.021733 Loss_D_real: -0.011287 Loss_D_fake 0.014730
[604/5000][190/535][62103] Loss_D: -0.025558 Loss_G: 0.025949 Loss_D_real: -0.023453 Loss_D_fake 0.002105
[604/5000][195/535][62104] Loss_D: -0.024602 Loss_G: -0.001773 Loss_D_real: 0.000519 Loss_D_fake 0.025121
[604/5000][200/535][62105] Loss_D: -0.025324 Loss_G: 0.030280 Loss_D_real: -0.018313 Loss_D_fake 0.007011
[604/5000][205/535][62106] Loss_D: -0.026655 Loss_G: 0.007285 Loss_D_real: -0.018363 Loss_D_fake 0.008291
[604/5000][210/535][62107] Loss_D: -0.024709 Loss_G: -0.003266 Loss_D_real: 0.003575 Loss_D_fake 0.028284
[604/5000][215/535][62108] Loss_D: -0.023465 Loss_G: 0.028683 Loss_D_real: -0.023951 Loss_D_fake -0.000486
[604/5000][220/535][62109] Loss_D: -0.026997 Loss_G: 0.022149 Loss_D_real: -0.023637 Loss_D_fake 0.003360
[604/5000][225/535][62110] Loss_D: -0.023965 Loss_G: 0.027674 Loss_D_real: -0.027753 Loss_D_fake -0.003788
[604/5000][230/535][62111] Loss_D: -0.024639 Loss_G: 0.013948 Loss_D_real: -0.022613 Loss_D_fake 0.002026
[604/5000][235/535][62112] Loss_D: -0.024425 Loss_G: 0.019548 Loss_D_real: -0.017742 Loss_D_fake 0.006683
[604/5000][240/535][62113] Loss_D: -0.023263 Loss_G: 0.015286 Loss_D_real: -0.008428 Loss_D_fake 0.014835
[604/5000][245/535][62114] Loss_D: -0.024435 Loss_G: 0.020657 Loss_D_real: -0.030325 Loss_D_fake -0.005890
[604/5000][250/535][62115] Loss_D: -0.023593 Loss_G: 0.003337 Loss_D_real: -0.002732 Loss_D_fake 0.020861
[604/5000][255/535][62116] Loss_D: -0.023386 Loss_G: 0.024102 Loss_D_real: -0.014704 Loss_D_fake 0.008682
[604/5000][260/535][62117] Loss_D: -0.023999 Loss_G: 0.031634 Loss_D_real: -0.033501 Loss_D_fake -0.009502
[604/5000][265/535][62118] Loss_D: -0.025216 Loss_G: -0.005884 Loss_D_real: 0.000803 Loss_D_fake 0.026019
[604/5000][270/535][62119] Loss_D: -0.023324 Loss_G: 0.010147 Loss_D_real: -0.013159 Loss_D_fake 0.010165
[604/5000][275/535][62120] Loss_D: -0.023707 Loss_G: 0.029152 Loss_D_real: -0.033087 Loss_D_fake -0.009380
[604/5000][280/535][62121] Loss_D: -0.025698 Loss_G: -0.006946 Loss_D_real: -0.007834 Loss_D_fake 0.017864
[604/5000][285/535][62122] Loss_D: -0.023456 Loss_G: 0.030748 Loss_D_real: -0.023567 Loss_D_fake -0.000112
[604/5000][290/535][62123] Loss_D: -0.023700 Loss_G: 0.024839 Loss_D_real: -0.026059 Loss_D_fake -0.002359
[604/5000][295/535][62124] Loss_D: -0.025283 Loss_G: 0.021154 Loss_D_real: -0.022802 Loss_D_fake 0.002481
[604/5000][300/535][62125] Loss_D: -0.024254 Loss_G: 0.029989 Loss_D_real: -0.022978 Loss_D_fake 0.001276
[604/5000][305/535][62126] Loss_D: -0.025512 Loss_G: 0.017922 Loss_D_real: -0.009163 Loss_D_fake 0.016349
[604/5000][310/535][62127] Loss_D: -0.024981 Loss_G: 0.017295 Loss_D_real: -0.017464 Loss_D_fake 0.007518
[604/5000][315/535][62128] Loss_D: -0.026207 Loss_G: 0.007910 Loss_D_real: -0.005666 Loss_D_fake 0.020541
[604/5000][320/535][62129] Loss_D: -0.026025 Loss_G: 0.015158 Loss_D_real: -0.015213 Loss_D_fake 0.010812
[604/5000][325/535][62130] Loss_D: -0.025005 Loss_G: 0.016477 Loss_D_real: -0.012557 Loss_D_fake 0.012448
[604/5000][330/535][62131] Loss_D: -0.025779 Loss_G: 0.017067 Loss_D_real: -0.008933 Loss_D_fake 0.016846
[604/5000][335/535][62132] Loss_D: -0.024847 Loss_G: 0.023041 Loss_D_real: -0.011599 Loss_D_fake 0.013248
[604/5000][340/535][62133] Loss_D: -0.024772 Loss_G: 0.028378 Loss_D_real: -0.020760 Loss_D_fake 0.004012
[604/5000][345/535][62134] Loss_D: -0.025128 Loss_G: 0.002967 Loss_D_real: -0.007267 Loss_D_fake 0.017861
[604/5000][350/535][62135] Loss_D: -0.024879 Loss_G: 0.021682 Loss_D_real: -0.024583 Loss_D_fake 0.000297
[604/5000][355/535][62136] Loss_D: -0.024837 Loss_G: 0.003839 Loss_D_real: -0.012666 Loss_D_fake 0.012171
[604/5000][360/535][62137] Loss_D: -0.024893 Loss_G: -0.000814 Loss_D_real: 0.004689 Loss_D_fake 0.029583
[604/5000][365/535][62138] Loss_D: -0.025918 Loss_G: 0.028997 Loss_D_real: -0.026256 Loss_D_fake -0.000337
[604/5000][370/535][62139] Loss_D: -0.024719 Loss_G: 0.000252 Loss_D_real: -0.006767 Loss_D_fake 0.017952
[604/5000][375/535][62140] Loss_D: -0.026048 Loss_G: 0.027416 Loss_D_real: -0.019359 Loss_D_fake 0.006688
[604/5000][380/535][62141] Loss_D: -0.024828 Loss_G: 0.017363 Loss_D_real: -0.028431 Loss_D_fake -0.003604
[604/5000][385/535][62142] Loss_D: -0.026392 Loss_G: 0.021447 Loss_D_real: -0.014048 Loss_D_fake 0.012344
[604/5000][390/535][62143] Loss_D: -0.024680 Loss_G: 0.017623 Loss_D_real: -0.012263 Loss_D_fake 0.012418
[604/5000][395/535][62144] Loss_D: -0.024867 Loss_G: 0.011402 Loss_D_real: -0.010036 Loss_D_fake 0.014831
[604/5000][400/535][62145] Loss_D: -0.025820 Loss_G: 0.013270 Loss_D_real: -0.012957 Loss_D_fake 0.012863
[604/5000][405/535][62146] Loss_D: -0.024436 Loss_G: 0.002293 Loss_D_real: -0.007165 Loss_D_fake 0.017272
[604/5000][410/535][62147] Loss_D: -0.025462 Loss_G: 0.008620 Loss_D_real: -0.015660 Loss_D_fake 0.009803
[604/5000][415/535][62148] Loss_D: -0.025383 Loss_G: 0.014250 Loss_D_real: -0.012395 Loss_D_fake 0.012988
[604/5000][420/535][62149] Loss_D: -0.024700 Loss_G: 0.015742 Loss_D_real: -0.025141 Loss_D_fake -0.000441
[604/5000][425/535][62150] Loss_D: -0.025605 Loss_G: 0.024130 Loss_D_real: -0.020427 Loss_D_fake 0.005178
[604/5000][430/535][62151] Loss_D: -0.025010 Loss_G: -0.000890 Loss_D_real: -0.010527 Loss_D_fake 0.014483
[604/5000][435/535][62152] Loss_D: -0.024717 Loss_G: 0.002412 Loss_D_real: -0.009491 Loss_D_fake 0.015226
[604/5000][440/535][62153] Loss_D: -0.024817 Loss_G: 0.019382 Loss_D_real: -0.022038 Loss_D_fake 0.002779
[604/5000][445/535][62154] Loss_D: -0.024851 Loss_G: 0.011037 Loss_D_real: -0.000608 Loss_D_fake 0.024243
[604/5000][450/535][62155] Loss_D: -0.024957 Loss_G: 0.005335 Loss_D_real: -0.017414 Loss_D_fake 0.007542
[604/5000][455/535][62156] Loss_D: -0.024005 Loss_G: -0.011839 Loss_D_real: 0.010935 Loss_D_fake 0.034940
[604/5000][460/535][62157] Loss_D: -0.024764 Loss_G: 0.017220 Loss_D_real: -0.020719 Loss_D_fake 0.004045
[604/5000][465/535][62158] Loss_D: -0.023805 Loss_G: 0.026439 Loss_D_real: -0.022946 Loss_D_fake 0.000859
[604/5000][470/535][62159] Loss_D: -0.024955 Loss_G: 0.009813 Loss_D_real: -0.014187 Loss_D_fake 0.010767
[604/5000][475/535][62160] Loss_D: -0.025438 Loss_G: 0.000048 Loss_D_real: 0.001786 Loss_D_fake 0.027224
[604/5000][480/535][62161] Loss_D: -0.025263 Loss_G: 0.011561 Loss_D_real: -0.022251 Loss_D_fake 0.003013
[604/5000][485/535][62162] Loss_D: -0.024004 Loss_G: -0.011992 Loss_D_real: -0.009023 Loss_D_fake 0.014981
[604/5000][490/535][62163] Loss_D: -0.024933 Loss_G: 0.029031 Loss_D_real: -0.027769 Loss_D_fake -0.002835
[604/5000][495/535][62164] Loss_D: -0.025374 Loss_G: -0.003280 Loss_D_real: -0.015493 Loss_D_fake 0.009881
[604/5000][500/535][62165] Loss_D: -0.027255 Loss_G: 0.023227 Loss_D_real: -0.016023 Loss_D_fake 0.011232
[604/5000][505/535][62166] Loss_D: -0.026190 Loss_G: 0.000228 Loss_D_real: -0.013793 Loss_D_fake 0.012397
[604/5000][510/535][62167] Loss_D: -0.025006 Loss_G: 0.031548 Loss_D_real: -0.018487 Loss_D_fake 0.006520
[604/5000][515/535][62168] Loss_D: -0.025553 Loss_G: 0.018878 Loss_D_real: -0.006863 Loss_D_fake 0.018690
[604/5000][520/535][62169] Loss_D: -0.024037 Loss_G: 0.014358 Loss_D_real: -0.013484 Loss_D_fake 0.010553
[604/5000][525/535][62170] Loss_D: -0.025268 Loss_G: 0.008248 Loss_D_real: -0.019402 Loss_D_fake 0.005866
[604/5000][530/535][62171] Loss_D: -0.026231 Loss_G: 0.019077 Loss_D_real: -0.016929 Loss_D_fake 0.009302
[604/5000][535/535][62172] Loss_D: -0.021563 Loss_G: -0.023168 Loss_D_real: 0.002639 Loss_D_fake 0.024202
[605/5000][5/535][62173] Loss_D: -0.024412 Loss_G: 0.007604 Loss_D_real: -0.009531 Loss_D_fake 0.014881
[605/5000][10/535][62174] Loss_D: -0.024925 Loss_G: 0.032118 Loss_D_real: -0.032032 Loss_D_fake -0.007107
[605/5000][15/535][62175] Loss_D: -0.026089 Loss_G: 0.003892 Loss_D_real: 0.004532 Loss_D_fake 0.030621
[605/5000][20/535][62176] Loss_D: -0.025135 Loss_G: 0.020756 Loss_D_real: -0.021563 Loss_D_fake 0.003572
[605/5000][25/535][62177] Loss_D: -0.027030 Loss_G: 0.004475 Loss_D_real: -0.006949 Loss_D_fake 0.020081
[605/5000][30/535][62178] Loss_D: -0.025002 Loss_G: -0.000350 Loss_D_real: -0.004729 Loss_D_fake 0.020273
[605/5000][35/535][62179] Loss_D: -0.025972 Loss_G: 0.022395 Loss_D_real: -0.019195 Loss_D_fake 0.006778
[605/5000][40/535][62180] Loss_D: -0.026086 Loss_G: 0.007824 Loss_D_real: -0.002520 Loss_D_fake 0.023566
[605/5000][45/535][62181] Loss_D: -0.024991 Loss_G: 0.002075 Loss_D_real: -0.017689 Loss_D_fake 0.007302
[605/5000][50/535][62182] Loss_D: -0.025350 Loss_G: 0.025566 Loss_D_real: -0.014999 Loss_D_fake 0.010351
[605/5000][55/535][62183] Loss_D: -0.026206 Loss_G: 0.007757 Loss_D_real: -0.016691 Loss_D_fake 0.009515
[605/5000][60/535][62184] Loss_D: -0.025301 Loss_G: 0.027598 Loss_D_real: -0.023336 Loss_D_fake 0.001964
[605/5000][65/535][62185] Loss_D: -0.025449 Loss_G: 0.021346 Loss_D_real: -0.018747 Loss_D_fake 0.006702
[605/5000][70/535][62186] Loss_D: -0.026477 Loss_G: 0.015114 Loss_D_real: -0.022107 Loss_D_fake 0.004370
[605/5000][75/535][62187] Loss_D: -0.026288 Loss_G: -0.003066 Loss_D_real: -0.015228 Loss_D_fake 0.011060
[605/5000][80/535][62188] Loss_D: -0.024490 Loss_G: -0.005338 Loss_D_real: -0.004077 Loss_D_fake 0.020413
[605/5000][85/535][62189] Loss_D: -0.024458 Loss_G: 0.016610 Loss_D_real: -0.014156 Loss_D_fake 0.010302
[605/5000][90/535][62190] Loss_D: -0.026162 Loss_G: 0.021742 Loss_D_real: -0.017383 Loss_D_fake 0.008778
[605/5000][95/535][62191] Loss_D: -0.024852 Loss_G: 0.016807 Loss_D_real: -0.021710 Loss_D_fake 0.003142
[605/5000][100/535][62192] Loss_D: -0.026434 Loss_G: 0.010835 Loss_D_real: -0.007310 Loss_D_fake 0.019124
[605/5000][105/535][62193] Loss_D: -0.024924 Loss_G: 0.025819 Loss_D_real: -0.020411 Loss_D_fake 0.004512
[605/5000][110/535][62194] Loss_D: -0.024620 Loss_G: 0.028025 Loss_D_real: -0.023265 Loss_D_fake 0.001355
[605/5000][115/535][62195] Loss_D: -0.025576 Loss_G: 0.005406 Loss_D_real: -0.016279 Loss_D_fake 0.009298
[605/5000][120/535][62196] Loss_D: -0.024003 Loss_G: -0.006897 Loss_D_real: -0.002981 Loss_D_fake 0.021022
[605/5000][125/535][62197] Loss_D: -0.022119 Loss_G: 0.039662 Loss_D_real: -0.037090 Loss_D_fake -0.014972
[605/5000][130/535][62198] Loss_D: -0.024525 Loss_G: 0.021027 Loss_D_real: -0.019941 Loss_D_fake 0.004583
[605/5000][135/535][62199] Loss_D: -0.023893 Loss_G: -0.009014 Loss_D_real: -0.007215 Loss_D_fake 0.016678
[605/5000][140/535][62200] Loss_D: -0.025383 Loss_G: 0.006728 Loss_D_real: -0.011937 Loss_D_fake 0.013446
[605/5000][145/535][62201] Loss_D: -0.023968 Loss_G: 0.021536 Loss_D_real: -0.011732 Loss_D_fake 0.012236
[605/5000][150/535][62202] Loss_D: -0.024741 Loss_G: -0.009974 Loss_D_real: -0.004106 Loss_D_fake 0.020635
[605/5000][155/535][62203] Loss_D: -0.023962 Loss_G: 0.006548 Loss_D_real: -0.013102 Loss_D_fake 0.010860
[605/5000][160/535][62204] Loss_D: -0.023767 Loss_G: 0.000585 Loss_D_real: -0.005720 Loss_D_fake 0.018047
[605/5000][165/535][62205] Loss_D: -0.025456 Loss_G: 0.019949 Loss_D_real: -0.017166 Loss_D_fake 0.008290
[605/5000][170/535][62206] Loss_D: -0.024657 Loss_G: 0.000847 Loss_D_real: 0.000166 Loss_D_fake 0.024823
[605/5000][175/535][62207] Loss_D: -0.023969 Loss_G: -0.000563 Loss_D_real: 0.002099 Loss_D_fake 0.026068
[605/5000][180/535][62208] Loss_D: -0.025069 Loss_G: 0.009603 Loss_D_real: -0.016254 Loss_D_fake 0.008816
[605/5000][185/535][62209] Loss_D: -0.024278 Loss_G: 0.020358 Loss_D_real: -0.017869 Loss_D_fake 0.006409
[605/5000][190/535][62210] Loss_D: -0.026920 Loss_G: 0.007450 Loss_D_real: -0.021653 Loss_D_fake 0.005267
[605/5000][195/535][62211] Loss_D: -0.027381 Loss_G: 0.017396 Loss_D_real: -0.016121 Loss_D_fake 0.011260
[605/5000][200/535][62212] Loss_D: -0.025643 Loss_G: 0.028638 Loss_D_real: -0.025434 Loss_D_fake 0.000209
[605/5000][205/535][62213] Loss_D: -0.024383 Loss_G: -0.003801 Loss_D_real: -0.010114 Loss_D_fake 0.014269
[605/5000][210/535][62214] Loss_D: -0.025455 Loss_G: 0.028652 Loss_D_real: -0.025239 Loss_D_fake 0.000216
[605/5000][215/535][62215] Loss_D: -0.025650 Loss_G: 0.002983 Loss_D_real: 0.004405 Loss_D_fake 0.030054
[605/5000][220/535][62216] Loss_D: -0.024452 Loss_G: 0.010016 Loss_D_real: -0.012478 Loss_D_fake 0.011974
[605/5000][225/535][62217] Loss_D: -0.025488 Loss_G: 0.025129 Loss_D_real: -0.021617 Loss_D_fake 0.003871
[605/5000][230/535][62218] Loss_D: -0.024281 Loss_G: -0.005256 Loss_D_real: 0.001086 Loss_D_fake 0.025367
[605/5000][235/535][62219] Loss_D: -0.024965 Loss_G: -0.000102 Loss_D_real: -0.008274 Loss_D_fake 0.016691
[605/5000][240/535][62220] Loss_D: -0.025025 Loss_G: 0.020792 Loss_D_real: -0.019740 Loss_D_fake 0.005285
[605/5000][245/535][62221] Loss_D: -0.025757 Loss_G: 0.013256 Loss_D_real: -0.014524 Loss_D_fake 0.011233
[605/5000][250/535][62222] Loss_D: -0.023425 Loss_G: 0.015762 Loss_D_real: -0.017318 Loss_D_fake 0.006106
[605/5000][255/535][62223] Loss_D: -0.024118 Loss_G: 0.036768 Loss_D_real: -0.028536 Loss_D_fake -0.004418
[605/5000][260/535][62224] Loss_D: -0.023743 Loss_G: 0.009613 Loss_D_real: -0.017209 Loss_D_fake 0.006533
[605/5000][265/535][62225] Loss_D: -0.024688 Loss_G: -0.003929 Loss_D_real: -0.012511 Loss_D_fake 0.012177
[605/5000][270/535][62226] Loss_D: -0.025199 Loss_G: 0.028934 Loss_D_real: -0.034626 Loss_D_fake -0.009427
[605/5000][275/535][62227] Loss_D: -0.024074 Loss_G: 0.020964 Loss_D_real: -0.006656 Loss_D_fake 0.017417
[605/5000][280/535][62228] Loss_D: -0.024525 Loss_G: 0.018375 Loss_D_real: -0.013049 Loss_D_fake 0.011476
[605/5000][285/535][62229] Loss_D: -0.024510 Loss_G: 0.002108 Loss_D_real: 0.006391 Loss_D_fake 0.030901
[605/5000][290/535][62230] Loss_D: -0.024071 Loss_G: 0.019472 Loss_D_real: -0.019136 Loss_D_fake 0.004935
[605/5000][295/535][62231] Loss_D: -0.024928 Loss_G: 0.001921 Loss_D_real: -0.007904 Loss_D_fake 0.017025
[605/5000][300/535][62232] Loss_D: -0.023958 Loss_G: 0.024105 Loss_D_real: -0.018047 Loss_D_fake 0.005911
[605/5000][305/535][62233] Loss_D: -0.024040 Loss_G: 0.025158 Loss_D_real: -0.026889 Loss_D_fake -0.002849
[605/5000][310/535][62234] Loss_D: -0.025323 Loss_G: 0.006203 Loss_D_real: -0.014133 Loss_D_fake 0.011190
[605/5000][315/535][62235] Loss_D: -0.025834 Loss_G: 0.012636 Loss_D_real: -0.013759 Loss_D_fake 0.012075
[605/5000][320/535][62236] Loss_D: -0.023900 Loss_G: 0.007268 Loss_D_real: -0.001449 Loss_D_fake 0.022451
[605/5000][325/535][62237] Loss_D: -0.025144 Loss_G: 0.003493 Loss_D_real: 0.000381 Loss_D_fake 0.025525
[605/5000][330/535][62238] Loss_D: -0.025860 Loss_G: 0.013081 Loss_D_real: -0.020893 Loss_D_fake 0.004967
[605/5000][335/535][62239] Loss_D: -0.023728 Loss_G: 0.000095 Loss_D_real: 0.000751 Loss_D_fake 0.024479
[605/5000][340/535][62240] Loss_D: -0.023993 Loss_G: 0.024129 Loss_D_real: -0.026265 Loss_D_fake -0.002272
[605/5000][345/535][62241] Loss_D: -0.024420 Loss_G: -0.014401 Loss_D_real: -0.012604 Loss_D_fake 0.011816
[605/5000][350/535][62242] Loss_D: -0.024858 Loss_G: 0.012078 Loss_D_real: -0.012226 Loss_D_fake 0.012633
[605/5000][355/535][62243] Loss_D: -0.024733 Loss_G: 0.029829 Loss_D_real: -0.029669 Loss_D_fake -0.004937
[605/5000][360/535][62244] Loss_D: -0.024581 Loss_G: -0.001259 Loss_D_real: 0.000424 Loss_D_fake 0.025005
[605/5000][365/535][62245] Loss_D: -0.024351 Loss_G: 0.023276 Loss_D_real: -0.022272 Loss_D_fake 0.002079
[605/5000][370/535][62246] Loss_D: -0.025909 Loss_G: 0.020818 Loss_D_real: -0.018741 Loss_D_fake 0.007168
[605/5000][375/535][62247] Loss_D: -0.024452 Loss_G: 0.018790 Loss_D_real: -0.017687 Loss_D_fake 0.006764
[605/5000][380/535][62248] Loss_D: -0.025025 Loss_G: 0.031748 Loss_D_real: -0.022156 Loss_D_fake 0.002869
[605/5000][385/535][62249] Loss_D: -0.023367 Loss_G: 0.008077 Loss_D_real: 0.006758 Loss_D_fake 0.030125
[605/5000][390/535][62250] Loss_D: -0.024293 Loss_G: 0.003912 Loss_D_real: -0.010020 Loss_D_fake 0.014274
[605/5000][395/535][62251] Loss_D: -0.023575 Loss_G: 0.011352 Loss_D_real: -0.022083 Loss_D_fake 0.001492
[605/5000][400/535][62252] Loss_D: -0.023821 Loss_G: 0.025450 Loss_D_real: -0.024394 Loss_D_fake -0.000573
[605/5000][405/535][62253] Loss_D: -0.024485 Loss_G: -0.005194 Loss_D_real: -0.002936 Loss_D_fake 0.021549
[605/5000][410/535][62254] Loss_D: -0.023747 Loss_G: 0.001815 Loss_D_real: 0.005885 Loss_D_fake 0.029632
[605/5000][415/535][62255] Loss_D: -0.022445 Loss_G: 0.020269 Loss_D_real: -0.008764 Loss_D_fake 0.013682
[605/5000][420/535][62256] Loss_D: -0.024065 Loss_G: 0.021493 Loss_D_real: -0.015201 Loss_D_fake 0.008863
[605/5000][425/535][62257] Loss_D: -0.025233 Loss_G: 0.004072 Loss_D_real: -0.007092 Loss_D_fake 0.018141
[605/5000][430/535][62258] Loss_D: -0.025609 Loss_G: -0.000611 Loss_D_real: -0.018411 Loss_D_fake 0.007198
[605/5000][435/535][62259] Loss_D: -0.025252 Loss_G: 0.005286 Loss_D_real: -0.007516 Loss_D_fake 0.017736
[605/5000][440/535][62260] Loss_D: -0.024954 Loss_G: 0.038249 Loss_D_real: -0.022522 Loss_D_fake 0.002432
[605/5000][445/535][62261] Loss_D: -0.024200 Loss_G: -0.006337 Loss_D_real: 0.004854 Loss_D_fake 0.029054
[605/5000][450/535][62262] Loss_D: -0.023954 Loss_G: 0.023837 Loss_D_real: -0.020209 Loss_D_fake 0.003745
[605/5000][455/535][62263] Loss_D: -0.026100 Loss_G: 0.018472 Loss_D_real: -0.016739 Loss_D_fake 0.009361
[605/5000][460/535][62264] Loss_D: -0.026020 Loss_G: 0.019870 Loss_D_real: -0.011287 Loss_D_fake 0.014732
[605/5000][465/535][62265] Loss_D: -0.024563 Loss_G: 0.026643 Loss_D_real: -0.026251 Loss_D_fake -0.001687
[605/5000][470/535][62266] Loss_D: -0.024561 Loss_G: -0.013208 Loss_D_real: 0.007902 Loss_D_fake 0.032463
[605/5000][475/535][62267] Loss_D: -0.025747 Loss_G: 0.003331 Loss_D_real: -0.014705 Loss_D_fake 0.011042
[605/5000][480/535][62268] Loss_D: -0.025879 Loss_G: 0.029229 Loss_D_real: -0.025258 Loss_D_fake 0.000620
[605/5000][485/535][62269] Loss_D: -0.025593 Loss_G: -0.008693 Loss_D_real: -0.000534 Loss_D_fake 0.025059
[605/5000][490/535][62270] Loss_D: -0.025403 Loss_G: 0.008117 Loss_D_real: -0.003947 Loss_D_fake 0.021456
[605/5000][495/535][62271] Loss_D: -0.026607 Loss_G: 0.013337 Loss_D_real: -0.005233 Loss_D_fake 0.021374
[605/5000][500/535][62272] Loss_D: -0.026794 Loss_G: 0.016530 Loss_D_real: -0.011282 Loss_D_fake 0.015512
[605/5000][505/535][62273] Loss_D: -0.025585 Loss_G: 0.028281 Loss_D_real: -0.031913 Loss_D_fake -0.006328
[605/5000][510/535][62274] Loss_D: -0.025506 Loss_G: 0.006802 Loss_D_real: -0.004180 Loss_D_fake 0.021326
[605/5000][515/535][62275] Loss_D: -0.025441 Loss_G: 0.021016 Loss_D_real: -0.005846 Loss_D_fake 0.019595
[605/5000][520/535][62276] Loss_D: -0.023949 Loss_G: -0.010052 Loss_D_real: -0.006035 Loss_D_fake 0.017915
[605/5000][525/535][62277] Loss_D: -0.024739 Loss_G: 0.035394 Loss_D_real: -0.031140 Loss_D_fake -0.006400
[605/5000][530/535][62278] Loss_D: -0.024990 Loss_G: 0.001605 Loss_D_real: -0.008356 Loss_D_fake 0.016633
[605/5000][535/535][62279] Loss_D: -0.025197 Loss_G: 0.017965 Loss_D_real: -0.025897 Loss_D_fake -0.000700
[606/5000][5/535][62280] Loss_D: -0.024871 Loss_G: 0.006102 Loss_D_real: -0.009940 Loss_D_fake 0.014931
[606/5000][10/535][62281] Loss_D: -0.025696 Loss_G: 0.002429 Loss_D_real: -0.013748 Loss_D_fake 0.011949
[606/5000][15/535][62282] Loss_D: -0.023946 Loss_G: 0.023627 Loss_D_real: -0.017070 Loss_D_fake 0.006876
[606/5000][20/535][62283] Loss_D: -0.024875 Loss_G: 0.012499 Loss_D_real: -0.011238 Loss_D_fake 0.013637
[606/5000][25/535][62284] Loss_D: -0.025713 Loss_G: 0.032418 Loss_D_real: -0.025331 Loss_D_fake 0.000382
[606/5000][30/535][62285] Loss_D: -0.025538 Loss_G: 0.004691 Loss_D_real: -0.008017 Loss_D_fake 0.017521
[606/5000][35/535][62286] Loss_D: -0.024489 Loss_G: 0.047257 Loss_D_real: -0.031206 Loss_D_fake -0.006717
[606/5000][40/535][62287] Loss_D: -0.024386 Loss_G: 0.017491 Loss_D_real: -0.015787 Loss_D_fake 0.008599
[606/5000][45/535][62288] Loss_D: -0.024518 Loss_G: 0.016004 Loss_D_real: -0.025745 Loss_D_fake -0.001226
[606/5000][50/535][62289] Loss_D: -0.026078 Loss_G: 0.013288 Loss_D_real: -0.011852 Loss_D_fake 0.014225
[606/5000][55/535][62290] Loss_D: -0.026368 Loss_G: 0.021292 Loss_D_real: -0.016993 Loss_D_fake 0.009374
[606/5000][60/535][62291] Loss_D: -0.025714 Loss_G: 0.012241 Loss_D_real: -0.017895 Loss_D_fake 0.007818
[606/5000][65/535][62292] Loss_D: -0.024365 Loss_G: -0.000273 Loss_D_real: -0.005368 Loss_D_fake 0.018996
[606/5000][70/535][62293] Loss_D: -0.025894 Loss_G: 0.017240 Loss_D_real: -0.018906 Loss_D_fake 0.006988
[606/5000][75/535][62294] Loss_D: -0.024834 Loss_G: -0.002483 Loss_D_real: -0.004678 Loss_D_fake 0.020156
[606/5000][80/535][62295] Loss_D: -0.023822 Loss_G: 0.001195 Loss_D_real: -0.000772 Loss_D_fake 0.023050
[606/5000][85/535][62296] Loss_D: -0.023107 Loss_G: 0.035904 Loss_D_real: -0.020202 Loss_D_fake 0.002906
[606/5000][90/535][62297] Loss_D: -0.024330 Loss_G: 0.006542 Loss_D_real: -0.007709 Loss_D_fake 0.016621
[606/5000][95/535][62298] Loss_D: -0.024529 Loss_G: 0.031447 Loss_D_real: -0.017987 Loss_D_fake 0.006542
[606/5000][100/535][62299] Loss_D: -0.024975 Loss_G: 0.024352 Loss_D_real: -0.020633 Loss_D_fake 0.004342
[606/5000][105/535][62300] Loss_D: -0.025021 Loss_G: 0.003790 Loss_D_real: -0.014667 Loss_D_fake 0.010354
[606/5000][110/535][62301] Loss_D: -0.024783 Loss_G: 0.010202 Loss_D_real: -0.012335 Loss_D_fake 0.012448
[606/5000][115/535][62302] Loss_D: -0.022949 Loss_G: 0.022659 Loss_D_real: -0.028222 Loss_D_fake -0.005273
[606/5000][120/535][62303] Loss_D: -0.026030 Loss_G: 0.002884 Loss_D_real: -0.018808 Loss_D_fake 0.007222
[606/5000][125/535][62304] Loss_D: -0.026098 Loss_G: 0.015793 Loss_D_real: -0.014497 Loss_D_fake 0.011600
[606/5000][130/535][62305] Loss_D: -0.022556 Loss_G: 0.030115 Loss_D_real: -0.024798 Loss_D_fake -0.002242
[606/5000][135/535][62306] Loss_D: -0.026678 Loss_G: -0.001182 Loss_D_real: -0.009400 Loss_D_fake 0.017278
[606/5000][140/535][62307] Loss_D: -0.024140 Loss_G: 0.010213 Loss_D_real: -0.012502 Loss_D_fake 0.011637
[606/5000][145/535][62308] Loss_D: -0.024205 Loss_G: 0.018317 Loss_D_real: -0.020100 Loss_D_fake 0.004104
[606/5000][150/535][62309] Loss_D: -0.024789 Loss_G: 0.005946 Loss_D_real: -0.009859 Loss_D_fake 0.014930
[606/5000][155/535][62310] Loss_D: -0.025015 Loss_G: -0.008057 Loss_D_real: -0.006540 Loss_D_fake 0.018475
[606/5000][160/535][62311] Loss_D: -0.022525 Loss_G: 0.038278 Loss_D_real: -0.031715 Loss_D_fake -0.009190
[606/5000][165/535][62312] Loss_D: -0.024853 Loss_G: 0.005386 Loss_D_real: -0.010356 Loss_D_fake 0.014497
[606/5000][170/535][62313] Loss_D: -0.025340 Loss_G: 0.025905 Loss_D_real: -0.026322 Loss_D_fake -0.000982
[606/5000][175/535][62314] Loss_D: -0.026503 Loss_G: 0.015143 Loss_D_real: -0.022960 Loss_D_fake 0.003543
[606/5000][180/535][62315] Loss_D: -0.023933 Loss_G: 0.019110 Loss_D_real: -0.020000 Loss_D_fake 0.003933
[606/5000][185/535][62316] Loss_D: -0.021845 Loss_G: 0.035430 Loss_D_real: -0.036418 Loss_D_fake -0.014573
[606/5000][190/535][62317] Loss_D: -0.024863 Loss_G: 0.019418 Loss_D_real: -0.016569 Loss_D_fake 0.008294
[606/5000][195/535][62318] Loss_D: -0.024116 Loss_G: 0.019605 Loss_D_real: -0.006601 Loss_D_fake 0.017515
[606/5000][200/535][62319] Loss_D: -0.024366 Loss_G: 0.020276 Loss_D_real: -0.020711 Loss_D_fake 0.003656
[606/5000][205/535][62320] Loss_D: -0.026740 Loss_G: 0.023400 Loss_D_real: -0.015565 Loss_D_fake 0.011175
[606/5000][210/535][62321] Loss_D: -0.024024 Loss_G: 0.031382 Loss_D_real: -0.023659 Loss_D_fake 0.000365
[606/5000][215/535][62322] Loss_D: -0.025396 Loss_G: 0.019810 Loss_D_real: -0.021064 Loss_D_fake 0.004331
[606/5000][220/535][62323] Loss_D: -0.024910 Loss_G: 0.022735 Loss_D_real: -0.017753 Loss_D_fake 0.007156
[606/5000][225/535][62324] Loss_D: -0.024736 Loss_G: -0.005625 Loss_D_real: -0.015994 Loss_D_fake 0.008742
[606/5000][230/535][62325] Loss_D: -0.022947 Loss_G: 0.028526 Loss_D_real: -0.030592 Loss_D_fake -0.007646
[606/5000][235/535][62326] Loss_D: -0.025114 Loss_G: 0.033158 Loss_D_real: -0.031228 Loss_D_fake -0.006115
[606/5000][240/535][62327] Loss_D: -0.023612 Loss_G: 0.034082 Loss_D_real: -0.033891 Loss_D_fake -0.010279
[606/5000][245/535][62328] Loss_D: -0.026877 Loss_G: 0.012273 Loss_D_real: -0.016458 Loss_D_fake 0.010419
[606/5000][250/535][62329] Loss_D: -0.025032 Loss_G: 0.021491 Loss_D_real: -0.025847 Loss_D_fake -0.000815
[606/5000][255/535][62330] Loss_D: -0.024378 Loss_G: 0.001857 Loss_D_real: -0.010629 Loss_D_fake 0.013749
[606/5000][260/535][62331] Loss_D: -0.024629 Loss_G: 0.008189 Loss_D_real: -0.014466 Loss_D_fake 0.010163
[606/5000][265/535][62332] Loss_D: -0.024805 Loss_G: 0.027438 Loss_D_real: -0.019942 Loss_D_fake 0.004862
[606/5000][270/535][62333] Loss_D: -0.024699 Loss_G: 0.007205 Loss_D_real: -0.000466 Loss_D_fake 0.024234
[606/5000][275/535][62334] Loss_D: -0.025319 Loss_G: 0.020221 Loss_D_real: -0.008910 Loss_D_fake 0.016409
[606/5000][280/535][62335] Loss_D: -0.025692 Loss_G: 0.008231 Loss_D_real: -0.005215 Loss_D_fake 0.020476
[606/5000][285/535][62336] Loss_D: -0.025945 Loss_G: 0.025445 Loss_D_real: -0.033825 Loss_D_fake -0.007880
[606/5000][290/535][62337] Loss_D: -0.024113 Loss_G: -0.004951 Loss_D_real: -0.000883 Loss_D_fake 0.023230
[606/5000][295/535][62338] Loss_D: -0.024913 Loss_G: 0.008340 Loss_D_real: -0.010293 Loss_D_fake 0.014620
[606/5000][300/535][62339] Loss_D: -0.025359 Loss_G: 0.020543 Loss_D_real: -0.015120 Loss_D_fake 0.010239
[606/5000][305/535][62340] Loss_D: -0.024996 Loss_G: 0.005547 Loss_D_real: -0.007731 Loss_D_fake 0.017264
[606/5000][310/535][62341] Loss_D: -0.024320 Loss_G: 0.001373 Loss_D_real: -0.001040 Loss_D_fake 0.023280
[606/5000][315/535][62342] Loss_D: -0.024784 Loss_G: 0.020372 Loss_D_real: -0.024511 Loss_D_fake 0.000273
[606/5000][320/535][62343] Loss_D: -0.025169 Loss_G: -0.001896 Loss_D_real: 0.001970 Loss_D_fake 0.027139
[606/5000][325/535][62344] Loss_D: -0.025312 Loss_G: 0.019580 Loss_D_real: -0.015301 Loss_D_fake 0.010011
[606/5000][330/535][62345] Loss_D: -0.025867 Loss_G: 0.000146 Loss_D_real: -0.009846 Loss_D_fake 0.016021
[606/5000][335/535][62346] Loss_D: -0.023800 Loss_G: 0.002450 Loss_D_real: -0.013040 Loss_D_fake 0.010761
[606/5000][340/535][62347] Loss_D: -0.023682 Loss_G: 0.036185 Loss_D_real: -0.032478 Loss_D_fake -0.008796
[606/5000][345/535][62348] Loss_D: -0.025068 Loss_G: 0.005601 Loss_D_real: -0.013997 Loss_D_fake 0.011071
[606/5000][350/535][62349] Loss_D: -0.023903 Loss_G: 0.018627 Loss_D_real: -0.018903 Loss_D_fake 0.005001
[606/5000][355/535][62350] Loss_D: -0.024754 Loss_G: 0.014298 Loss_D_real: -0.002831 Loss_D_fake 0.021922
[606/5000][360/535][62351] Loss_D: -0.022299 Loss_G: 0.029749 Loss_D_real: -0.027308 Loss_D_fake -0.005010
[606/5000][365/535][62352] Loss_D: -0.024908 Loss_G: 0.017661 Loss_D_real: -0.022929 Loss_D_fake 0.001979
[606/5000][370/535][62353] Loss_D: -0.025674 Loss_G: 0.020979 Loss_D_real: -0.028237 Loss_D_fake -0.002562
[606/5000][375/535][62354] Loss_D: -0.024449 Loss_G: -0.008902 Loss_D_real: 0.001865 Loss_D_fake 0.026313
[606/5000][380/535][62355] Loss_D: -0.024177 Loss_G: 0.004770 Loss_D_real: -0.004942 Loss_D_fake 0.019235
[606/5000][385/535][62356] Loss_D: -0.023709 Loss_G: 0.005096 Loss_D_real: -0.000511 Loss_D_fake 0.023198
[606/5000][390/535][62357] Loss_D: -0.023213 Loss_G: 0.021509 Loss_D_real: -0.020938 Loss_D_fake 0.002275
[606/5000][395/535][62358] Loss_D: -0.024407 Loss_G: 0.003565 Loss_D_real: 0.001536 Loss_D_fake 0.025942
[606/5000][400/535][62359] Loss_D: -0.025782 Loss_G: 0.005124 Loss_D_real: -0.011977 Loss_D_fake 0.013805
[606/5000][405/535][62360] Loss_D: -0.022781 Loss_G: 0.030200 Loss_D_real: -0.033325 Loss_D_fake -0.010544
[606/5000][410/535][62361] Loss_D: -0.025289 Loss_G: 0.011314 Loss_D_real: -0.010481 Loss_D_fake 0.014808
[606/5000][415/535][62362] Loss_D: -0.024892 Loss_G: 0.019266 Loss_D_real: -0.023886 Loss_D_fake 0.001006
[606/5000][420/535][62363] Loss_D: -0.026400 Loss_G: 0.018062 Loss_D_real: -0.018807 Loss_D_fake 0.007593
[606/5000][425/535][62364] Loss_D: -0.024958 Loss_G: 0.021852 Loss_D_real: -0.023832 Loss_D_fake 0.001126
[606/5000][430/535][62365] Loss_D: -0.026397 Loss_G: 0.029599 Loss_D_real: -0.033730 Loss_D_fake -0.007334
[606/5000][435/535][62366] Loss_D: -0.027440 Loss_G: 0.002183 Loss_D_real: -0.009795 Loss_D_fake 0.017645
[606/5000][440/535][62367] Loss_D: -0.024876 Loss_G: 0.023001 Loss_D_real: -0.022510 Loss_D_fake 0.002366
[606/5000][445/535][62368] Loss_D: -0.025215 Loss_G: -0.002002 Loss_D_real: 0.006214 Loss_D_fake 0.031429
[606/5000][450/535][62369] Loss_D: -0.024327 Loss_G: 0.021124 Loss_D_real: -0.014802 Loss_D_fake 0.009525
[606/5000][455/535][62370] Loss_D: -0.023597 Loss_G: 0.017318 Loss_D_real: -0.014335 Loss_D_fake 0.009263
[606/5000][460/535][62371] Loss_D: -0.024931 Loss_G: 0.003014 Loss_D_real: -0.016537 Loss_D_fake 0.008394
[606/5000][465/535][62372] Loss_D: -0.024623 Loss_G: 0.022445 Loss_D_real: -0.020817 Loss_D_fake 0.003806
[606/5000][470/535][62373] Loss_D: -0.025278 Loss_G: 0.018033 Loss_D_real: -0.020562 Loss_D_fake 0.004716
[606/5000][475/535][62374] Loss_D: -0.024729 Loss_G: 0.033286 Loss_D_real: -0.034914 Loss_D_fake -0.010185
[606/5000][480/535][62375] Loss_D: -0.024967 Loss_G: 0.027289 Loss_D_real: -0.025117 Loss_D_fake -0.000150
[606/5000][485/535][62376] Loss_D: -0.025670 Loss_G: 0.005053 Loss_D_real: -0.010497 Loss_D_fake 0.015173
[606/5000][490/535][62377] Loss_D: -0.024930 Loss_G: 0.023691 Loss_D_real: -0.020568 Loss_D_fake 0.004362
[606/5000][495/535][62378] Loss_D: -0.024236 Loss_G: -0.004055 Loss_D_real: -0.008015 Loss_D_fake 0.016220
[606/5000][500/535][62379] Loss_D: -0.024498 Loss_G: 0.017901 Loss_D_real: -0.023220 Loss_D_fake 0.001279
[606/5000][505/535][62380] Loss_D: -0.025568 Loss_G: 0.001079 Loss_D_real: -0.009872 Loss_D_fake 0.015696
[606/5000][510/535][62381] Loss_D: -0.025113 Loss_G: 0.004725 Loss_D_real: -0.019049 Loss_D_fake 0.006064
[606/5000][515/535][62382] Loss_D: -0.023177 Loss_G: 0.041521 Loss_D_real: -0.025603 Loss_D_fake -0.002426
[606/5000][520/535][62383] Loss_D: -0.024250 Loss_G: 0.024514 Loss_D_real: -0.018858 Loss_D_fake 0.005392
[606/5000][525/535][62384] Loss_D: -0.024406 Loss_G: 0.017342 Loss_D_real: -0.027900 Loss_D_fake -0.003494
[606/5000][530/535][62385] Loss_D: -0.024877 Loss_G: 0.019294 Loss_D_real: -0.013451 Loss_D_fake 0.011426
[606/5000][535/535][62386] Loss_D: -0.026853 Loss_G: 0.043477 Loss_D_real: -0.019563 Loss_D_fake 0.007290
[607/5000][5/535][62387] Loss_D: -0.025902 Loss_G: 0.003194 Loss_D_real: -0.011851 Loss_D_fake 0.014051
[607/5000][10/535][62388] Loss_D: -0.024659 Loss_G: 0.006980 Loss_D_real: -0.015586 Loss_D_fake 0.009073
[607/5000][15/535][62389] Loss_D: -0.024440 Loss_G: 0.001348 Loss_D_real: -0.007607 Loss_D_fake 0.016833
[607/5000][20/535][62390] Loss_D: -0.023811 Loss_G: 0.033984 Loss_D_real: -0.022795 Loss_D_fake 0.001016
[607/5000][25/535][62391] Loss_D: -0.025310 Loss_G: 0.014697 Loss_D_real: -0.012026 Loss_D_fake 0.013284
[607/5000][30/535][62392] Loss_D: -0.023570 Loss_G: 0.023402 Loss_D_real: -0.030698 Loss_D_fake -0.007127
[607/5000][35/535][62393] Loss_D: -0.025245 Loss_G: 0.027982 Loss_D_real: -0.016363 Loss_D_fake 0.008882
[607/5000][40/535][62394] Loss_D: -0.025016 Loss_G: 0.027478 Loss_D_real: -0.016926 Loss_D_fake 0.008090
[607/5000][45/535][62395] Loss_D: -0.023868 Loss_G: 0.027479 Loss_D_real: -0.028049 Loss_D_fake -0.004180
[607/5000][50/535][62396] Loss_D: -0.026389 Loss_G: 0.022847 Loss_D_real: -0.022643 Loss_D_fake 0.003746
[607/5000][55/535][62397] Loss_D: -0.025610 Loss_G: 0.020815 Loss_D_real: -0.012319 Loss_D_fake 0.013291
[607/5000][60/535][62398] Loss_D: -0.024956 Loss_G: 0.012988 Loss_D_real: -0.021166 Loss_D_fake 0.003790
[607/5000][65/535][62399] Loss_D: -0.023188 Loss_G: 0.034242 Loss_D_real: -0.035629 Loss_D_fake -0.012441
[607/5000][70/535][62400] Loss_D: -0.025502 Loss_G: 0.008807 Loss_D_real: -0.009880 Loss_D_fake 0.015622
[607/5000][75/535][62401] Loss_D: -0.024937 Loss_G: 0.000620 Loss_D_real: -0.003212 Loss_D_fake 0.021724
[607/5000][80/535][62402] Loss_D: -0.025630 Loss_G: 0.015943 Loss_D_real: -0.030043 Loss_D_fake -0.004413
[607/5000][85/535][62403] Loss_D: -0.025173 Loss_G: 0.003647 Loss_D_real: -0.004711 Loss_D_fake 0.020462
[607/5000][90/535][62404] Loss_D: -0.025552 Loss_G: 0.006543 Loss_D_real: -0.016364 Loss_D_fake 0.009188
[607/5000][95/535][62405] Loss_D: -0.024228 Loss_G: 0.030201 Loss_D_real: -0.022200 Loss_D_fake 0.002027
[607/5000][100/535][62406] Loss_D: -0.026025 Loss_G: 0.022226 Loss_D_real: -0.020622 Loss_D_fake 0.005404
[607/5000][105/535][62407] Loss_D: -0.026084 Loss_G: 0.015158 Loss_D_real: -0.011599 Loss_D_fake 0.014485
[607/5000][110/535][62408] Loss_D: -0.025278 Loss_G: 0.015143 Loss_D_real: -0.013614 Loss_D_fake 0.011664
[607/5000][115/535][62409] Loss_D: -0.025802 Loss_G: 0.015897 Loss_D_real: -0.021461 Loss_D_fake 0.004341
[607/5000][120/535][62410] Loss_D: -0.027080 Loss_G: 0.017732 Loss_D_real: -0.017551 Loss_D_fake 0.009529
[607/5000][125/535][62411] Loss_D: -0.026984 Loss_G: 0.020829 Loss_D_real: -0.022058 Loss_D_fake 0.004925
[607/5000][130/535][62412] Loss_D: -0.026149 Loss_G: 0.015137 Loss_D_real: -0.011186 Loss_D_fake 0.014963
[607/5000][135/535][62413] Loss_D: -0.026500 Loss_G: 0.013488 Loss_D_real: -0.011094 Loss_D_fake 0.015406
[607/5000][140/535][62414] Loss_D: -0.023945 Loss_G: 0.026273 Loss_D_real: -0.026755 Loss_D_fake -0.002811
[607/5000][145/535][62415] Loss_D: -0.024733 Loss_G: -0.006226 Loss_D_real: -0.002927 Loss_D_fake 0.021805
[607/5000][150/535][62416] Loss_D: -0.024826 Loss_G: 0.020794 Loss_D_real: -0.026794 Loss_D_fake -0.001969
[607/5000][155/535][62417] Loss_D: -0.024325 Loss_G: 0.007289 Loss_D_real: -0.003543 Loss_D_fake 0.020782
[607/5000][160/535][62418] Loss_D: -0.025457 Loss_G: -0.000420 Loss_D_real: -0.003171 Loss_D_fake 0.022286
[607/5000][165/535][62419] Loss_D: -0.023299 Loss_G: 0.034853 Loss_D_real: -0.024926 Loss_D_fake -0.001627
[607/5000][170/535][62420] Loss_D: -0.024667 Loss_G: 0.003775 Loss_D_real: 0.000459 Loss_D_fake 0.025126
[607/5000][175/535][62421] Loss_D: -0.023933 Loss_G: -0.000682 Loss_D_real: -0.012034 Loss_D_fake 0.011899
[607/5000][180/535][62422] Loss_D: -0.024718 Loss_G: 0.008925 Loss_D_real: -0.018905 Loss_D_fake 0.005813
[607/5000][185/535][62423] Loss_D: -0.024700 Loss_G: 0.016205 Loss_D_real: -0.016365 Loss_D_fake 0.008335
[607/5000][190/535][62424] Loss_D: -0.025022 Loss_G: 0.008475 Loss_D_real: -0.017574 Loss_D_fake 0.007447
[607/5000][195/535][62425] Loss_D: -0.024937 Loss_G: 0.020249 Loss_D_real: -0.023353 Loss_D_fake 0.001583
[607/5000][200/535][62426] Loss_D: -0.025077 Loss_G: 0.019640 Loss_D_real: -0.007367 Loss_D_fake 0.017710
[607/5000][205/535][62427] Loss_D: -0.024151 Loss_G: -0.000486 Loss_D_real: -0.008953 Loss_D_fake 0.015198
[607/5000][210/535][62428] Loss_D: -0.023667 Loss_G: 0.022008 Loss_D_real: -0.024492 Loss_D_fake -0.000824
[607/5000][215/535][62429] Loss_D: -0.026327 Loss_G: 0.012236 Loss_D_real: -0.015427 Loss_D_fake 0.010900
[607/5000][220/535][62430] Loss_D: -0.025463 Loss_G: 0.013249 Loss_D_real: -0.005585 Loss_D_fake 0.019878
[607/5000][225/535][62431] Loss_D: -0.026006 Loss_G: 0.012297 Loss_D_real: -0.003780 Loss_D_fake 0.022226
[607/5000][230/535][62432] Loss_D: -0.024457 Loss_G: 0.021371 Loss_D_real: -0.022513 Loss_D_fake 0.001944
[607/5000][235/535][62433] Loss_D: -0.024099 Loss_G: -0.000801 Loss_D_real: -0.002759 Loss_D_fake 0.021339
[607/5000][240/535][62434] Loss_D: -0.023337 Loss_G: 0.014969 Loss_D_real: -0.008462 Loss_D_fake 0.014875
[607/5000][245/535][62435] Loss_D: -0.024209 Loss_G: 0.024159 Loss_D_real: -0.029273 Loss_D_fake -0.005063
[607/5000][250/535][62436] Loss_D: -0.025661 Loss_G: -0.007052 Loss_D_real: -0.005879 Loss_D_fake 0.019781
[607/5000][255/535][62437] Loss_D: -0.024472 Loss_G: 0.009831 Loss_D_real: -0.014233 Loss_D_fake 0.010239
[607/5000][260/535][62438] Loss_D: -0.025792 Loss_G: 0.027697 Loss_D_real: -0.015249 Loss_D_fake 0.010543
[607/5000][265/535][62439] Loss_D: -0.024488 Loss_G: 0.009733 Loss_D_real: -0.006766 Loss_D_fake 0.017722
[607/5000][270/535][62440] Loss_D: -0.024582 Loss_G: 0.018166 Loss_D_real: -0.022805 Loss_D_fake 0.001777
[607/5000][275/535][62441] Loss_D: -0.024835 Loss_G: 0.010611 Loss_D_real: 0.002478 Loss_D_fake 0.027313
[607/5000][280/535][62442] Loss_D: -0.024325 Loss_G: 0.009365 Loss_D_real: -0.012217 Loss_D_fake 0.012108
[607/5000][285/535][62443] Loss_D: -0.023841 Loss_G: -0.019775 Loss_D_real: 0.007165 Loss_D_fake 0.031005
[607/5000][290/535][62444] Loss_D: -0.024114 Loss_G: 0.011208 Loss_D_real: -0.015105 Loss_D_fake 0.009009
[607/5000][295/535][62445] Loss_D: -0.023306 Loss_G: 0.019474 Loss_D_real: -0.013151 Loss_D_fake 0.010156
[607/5000][300/535][62446] Loss_D: -0.023757 Loss_G: 0.005497 Loss_D_real: -0.006683 Loss_D_fake 0.017074
[607/5000][305/535][62447] Loss_D: -0.024620 Loss_G: 0.023142 Loss_D_real: -0.018106 Loss_D_fake 0.006515
[607/5000][310/535][62448] Loss_D: -0.024876 Loss_G: 0.012669 Loss_D_real: -0.020192 Loss_D_fake 0.004684
[607/5000][315/535][62449] Loss_D: -0.024991 Loss_G: 0.022686 Loss_D_real: -0.014987 Loss_D_fake 0.010004
[607/5000][320/535][62450] Loss_D: -0.022239 Loss_G: 0.033916 Loss_D_real: -0.034314 Loss_D_fake -0.012074
[607/5000][325/535][62451] Loss_D: -0.025437 Loss_G: 0.019650 Loss_D_real: -0.014210 Loss_D_fake 0.011227
[607/5000][330/535][62452] Loss_D: -0.022619 Loss_G: 0.006997 Loss_D_real: -0.006292 Loss_D_fake 0.016327
[607/5000][335/535][62453] Loss_D: -0.023868 Loss_G: 0.025103 Loss_D_real: -0.027063 Loss_D_fake -0.003195
[607/5000][340/535][62454] Loss_D: -0.027265 Loss_G: 0.024116 Loss_D_real: -0.013998 Loss_D_fake 0.013267
[607/5000][345/535][62455] Loss_D: -0.025615 Loss_G: 0.009075 Loss_D_real: -0.005787 Loss_D_fake 0.019828
[607/5000][350/535][62456] Loss_D: -0.025396 Loss_G: 0.026811 Loss_D_real: -0.022221 Loss_D_fake 0.003175
[607/5000][355/535][62457] Loss_D: -0.025800 Loss_G: -0.000622 Loss_D_real: -0.005721 Loss_D_fake 0.020080
[607/5000][360/535][62458] Loss_D: -0.023208 Loss_G: 0.000810 Loss_D_real: -0.005463 Loss_D_fake 0.017746
[607/5000][365/535][62459] Loss_D: -0.025155 Loss_G: 0.021462 Loss_D_real: -0.028959 Loss_D_fake -0.003804
[607/5000][370/535][62460] Loss_D: -0.025037 Loss_G: 0.006159 Loss_D_real: -0.017452 Loss_D_fake 0.007585
[607/5000][375/535][62461] Loss_D: -0.024524 Loss_G: 0.010646 Loss_D_real: -0.000189 Loss_D_fake 0.024335
[607/5000][380/535][62462] Loss_D: -0.024256 Loss_G: 0.017742 Loss_D_real: -0.013335 Loss_D_fake 0.010920
[607/5000][385/535][62463] Loss_D: -0.025208 Loss_G: 0.017705 Loss_D_real: -0.010054 Loss_D_fake 0.015154
[607/5000][390/535][62464] Loss_D: -0.024562 Loss_G: 0.000618 Loss_D_real: -0.009746 Loss_D_fake 0.014816
[607/5000][395/535][62465] Loss_D: -0.024745 Loss_G: 0.005439 Loss_D_real: -0.012016 Loss_D_fake 0.012729
[607/5000][400/535][62466] Loss_D: -0.025816 Loss_G: 0.022433 Loss_D_real: -0.023180 Loss_D_fake 0.002635
[607/5000][405/535][62467] Loss_D: -0.025199 Loss_G: -0.002361 Loss_D_real: -0.000864 Loss_D_fake 0.024335
[607/5000][410/535][62468] Loss_D: -0.024381 Loss_G: 0.003379 Loss_D_real: -0.016994 Loss_D_fake 0.007387
[607/5000][415/535][62469] Loss_D: -0.024982 Loss_G: 0.033117 Loss_D_real: -0.018319 Loss_D_fake 0.006663
[607/5000][420/535][62470] Loss_D: -0.024803 Loss_G: 0.025811 Loss_D_real: -0.029350 Loss_D_fake -0.004547
[607/5000][425/535][62471] Loss_D: -0.024879 Loss_G: 0.015777 Loss_D_real: -0.015520 Loss_D_fake 0.009358
[607/5000][430/535][62472] Loss_D: -0.024314 Loss_G: -0.004176 Loss_D_real: -0.006592 Loss_D_fake 0.017723
[607/5000][435/535][62473] Loss_D: -0.024799 Loss_G: 0.012032 Loss_D_real: -0.014614 Loss_D_fake 0.010186
[607/5000][440/535][62474] Loss_D: -0.025258 Loss_G: 0.018209 Loss_D_real: -0.020121 Loss_D_fake 0.005136
[607/5000][445/535][62475] Loss_D: -0.024570 Loss_G: 0.006993 Loss_D_real: -0.006214 Loss_D_fake 0.018356
[607/5000][450/535][62476] Loss_D: -0.025237 Loss_G: 0.028484 Loss_D_real: -0.014251 Loss_D_fake 0.010986
[607/5000][455/535][62477] Loss_D: -0.026519 Loss_G: 0.009559 Loss_D_real: -0.013428 Loss_D_fake 0.013092
[607/5000][460/535][62478] Loss_D: -0.025607 Loss_G: -0.004353 Loss_D_real: 0.002780 Loss_D_fake 0.028387
[607/5000][465/535][62479] Loss_D: -0.025406 Loss_G: 0.011241 Loss_D_real: -0.010275 Loss_D_fake 0.015131
[607/5000][470/535][62480] Loss_D: -0.023636 Loss_G: 0.038753 Loss_D_real: -0.017938 Loss_D_fake 0.005698
[607/5000][475/535][62481] Loss_D: -0.025018 Loss_G: 0.013129 Loss_D_real: -0.018046 Loss_D_fake 0.006972
[607/5000][480/535][62482] Loss_D: -0.025238 Loss_G: 0.004881 Loss_D_real: -0.008779 Loss_D_fake 0.016459
[607/5000][485/535][62483] Loss_D: -0.024530 Loss_G: 0.010586 Loss_D_real: -0.006813 Loss_D_fake 0.017717
[607/5000][490/535][62484] Loss_D: -0.025351 Loss_G: 0.016649 Loss_D_real: -0.015547 Loss_D_fake 0.009804
[607/5000][495/535][62485] Loss_D: -0.025783 Loss_G: 0.012808 Loss_D_real: -0.007320 Loss_D_fake 0.018462
[607/5000][500/535][62486] Loss_D: -0.024368 Loss_G: -0.000054 Loss_D_real: 0.006720 Loss_D_fake 0.031087
[607/5000][505/535][62487] Loss_D: -0.025766 Loss_G: 0.024370 Loss_D_real: -0.023363 Loss_D_fake 0.002403
[607/5000][510/535][62488] Loss_D: -0.024202 Loss_G: -0.002601 Loss_D_real: -0.005903 Loss_D_fake 0.018299
[607/5000][515/535][62489] Loss_D: -0.023416 Loss_G: 0.028155 Loss_D_real: -0.031234 Loss_D_fake -0.007818
[607/5000][520/535][62490] Loss_D: -0.024414 Loss_G: -0.007643 Loss_D_real: -0.000022 Loss_D_fake 0.024392
[607/5000][525/535][62491] Loss_D: -0.024437 Loss_G: 0.038797 Loss_D_real: -0.028916 Loss_D_fake -0.004479
[607/5000][530/535][62492] Loss_D: -0.024549 Loss_G: 0.009309 Loss_D_real: -0.007031 Loss_D_fake 0.017519
[607/5000][535/535][62493] Loss_D: -0.024274 Loss_G: -0.005474 Loss_D_real: -0.018981 Loss_D_fake 0.005293
[608/5000][5/535][62494] Loss_D: -0.024553 Loss_G: 0.021711 Loss_D_real: -0.012422 Loss_D_fake 0.012132
[608/5000][10/535][62495] Loss_D: -0.024737 Loss_G: -0.003022 Loss_D_real: 0.010553 Loss_D_fake 0.035290
[608/5000][15/535][62496] Loss_D: -0.024297 Loss_G: 0.005601 Loss_D_real: -0.008724 Loss_D_fake 0.015573
[608/5000][20/535][62497] Loss_D: -0.023809 Loss_G: 0.015290 Loss_D_real: -0.011538 Loss_D_fake 0.012271
[608/5000][25/535][62498] Loss_D: -0.023540 Loss_G: -0.009621 Loss_D_real: 0.005029 Loss_D_fake 0.028569
[608/5000][30/535][62499] Loss_D: -0.024938 Loss_G: 0.010652 Loss_D_real: -0.017778 Loss_D_fake 0.007160
[608/5000][35/535][62500] Loss_D: -0.024833 Loss_G: 0.016081 Loss_D_real: -0.014566 Loss_D_fake 0.010267
[608/5000][135/535][62501] Loss_D: -0.025059 Loss_G: 0.036083 Loss_D_real: -0.034170 Loss_D_fake -0.009111
[608/5000][140/535][62502] Loss_D: -0.025146 Loss_G: 0.016307 Loss_D_real: -0.016553 Loss_D_fake 0.008593
[608/5000][145/535][62503] Loss_D: -0.022643 Loss_G: -0.001669 Loss_D_real: -0.006573 Loss_D_fake 0.016069
[608/5000][150/535][62504] Loss_D: -0.023422 Loss_G: 0.007611 Loss_D_real: -0.011044 Loss_D_fake 0.012378
[608/5000][155/535][62505] Loss_D: -0.023870 Loss_G: 0.009738 Loss_D_real: -0.018030 Loss_D_fake 0.005840
[608/5000][160/535][62506] Loss_D: -0.024449 Loss_G: 0.003897 Loss_D_real: -0.003554 Loss_D_fake 0.020895
[608/5000][165/535][62507] Loss_D: -0.022953 Loss_G: 0.005196 Loss_D_real: -0.006111 Loss_D_fake 0.016842
[608/5000][170/535][62508] Loss_D: -0.024574 Loss_G: 0.015721 Loss_D_real: -0.013425 Loss_D_fake 0.011149
[608/5000][175/535][62509] Loss_D: -0.024946 Loss_G: 0.015935 Loss_D_real: -0.019882 Loss_D_fake 0.005064
[608/5000][180/535][62510] Loss_D: -0.025638 Loss_G: 0.013131 Loss_D_real: -0.018001 Loss_D_fake 0.007638
[608/5000][185/535][62511] Loss_D: -0.024644 Loss_G: 0.013829 Loss_D_real: -0.011295 Loss_D_fake 0.013349
[608/5000][190/535][62512] Loss_D: -0.024664 Loss_G: 0.027679 Loss_D_real: -0.022132 Loss_D_fake 0.002532
[608/5000][195/535][62513] Loss_D: -0.025531 Loss_G: -0.002161 Loss_D_real: -0.008171 Loss_D_fake 0.017361
[608/5000][200/535][62514] Loss_D: -0.024674 Loss_G: 0.001219 Loss_D_real: -0.006634 Loss_D_fake 0.018039
[608/5000][205/535][62515] Loss_D: -0.024079 Loss_G: 0.011550 Loss_D_real: -0.020797 Loss_D_fake 0.003282
[608/5000][210/535][62516] Loss_D: -0.024855 Loss_G: 0.009414 Loss_D_real: -0.018656 Loss_D_fake 0.006199
[608/5000][215/535][62517] Loss_D: -0.025370 Loss_G: 0.022347 Loss_D_real: -0.017484 Loss_D_fake 0.007886
[608/5000][220/535][62518] Loss_D: -0.025003 Loss_G: 0.010714 Loss_D_real: -0.001809 Loss_D_fake 0.023194
[608/5000][225/535][62519] Loss_D: -0.025375 Loss_G: 0.004914 Loss_D_real: 0.000193 Loss_D_fake 0.025568
[608/5000][230/535][62520] Loss_D: -0.021681 Loss_G: 0.031838 Loss_D_real: -0.028972 Loss_D_fake -0.007291
[608/5000][235/535][62521] Loss_D: -0.025193 Loss_G: 0.007447 Loss_D_real: -0.008838 Loss_D_fake 0.016355
[608/5000][240/535][62522] Loss_D: -0.024613 Loss_G: 0.030814 Loss_D_real: -0.020572 Loss_D_fake 0.004042
[608/5000][245/535][62523] Loss_D: -0.024729 Loss_G: -0.008071 Loss_D_real: -0.001166 Loss_D_fake 0.023563
[608/5000][250/535][62524] Loss_D: -0.024253 Loss_G: 0.021345 Loss_D_real: -0.029593 Loss_D_fake -0.005339
[608/5000][255/535][62525] Loss_D: -0.024399 Loss_G: 0.008309 Loss_D_real: -0.008530 Loss_D_fake 0.015869
[608/5000][260/535][62526] Loss_D: -0.024692 Loss_G: 0.016269 Loss_D_real: -0.022633 Loss_D_fake 0.002059
[608/5000][265/535][62527] Loss_D: -0.025024 Loss_G: 0.000581 Loss_D_real: -0.002874 Loss_D_fake 0.022150
[608/5000][270/535][62528] Loss_D: -0.025911 Loss_G: 0.013230 Loss_D_real: -0.023164 Loss_D_fake 0.002747
[608/5000][275/535][62529] Loss_D: -0.024062 Loss_G: 0.035594 Loss_D_real: -0.027633 Loss_D_fake -0.003571
[608/5000][280/535][62530] Loss_D: -0.024950 Loss_G: 0.006743 Loss_D_real: -0.034394 Loss_D_fake -0.009444
[608/5000][285/535][62531] Loss_D: -0.024992 Loss_G: 0.025645 Loss_D_real: -0.027456 Loss_D_fake -0.002465
[608/5000][290/535][62532] Loss_D: -0.025678 Loss_G: 0.005301 Loss_D_real: -0.004691 Loss_D_fake 0.020987
[608/5000][295/535][62533] Loss_D: -0.022781 Loss_G: 0.027877 Loss_D_real: -0.025440 Loss_D_fake -0.002658
[608/5000][300/535][62534] Loss_D: -0.024270 Loss_G: 0.030539 Loss_D_real: -0.021553 Loss_D_fake 0.002716
[608/5000][305/535][62535] Loss_D: -0.025283 Loss_G: 0.006730 Loss_D_real: -0.009522 Loss_D_fake 0.015760
[608/5000][310/535][62536] Loss_D: -0.023429 Loss_G: -0.002213 Loss_D_real: -0.004203 Loss_D_fake 0.019226
[608/5000][315/535][62537] Loss_D: -0.024982 Loss_G: 0.006602 Loss_D_real: -0.011823 Loss_D_fake 0.013159
[608/5000][320/535][62538] Loss_D: -0.024486 Loss_G: 0.024507 Loss_D_real: -0.025355 Loss_D_fake -0.000869
[608/5000][325/535][62539] Loss_D: -0.024960 Loss_G: 0.005681 Loss_D_real: -0.008953 Loss_D_fake 0.016008
[608/5000][330/535][62540] Loss_D: -0.025938 Loss_G: 0.003065 Loss_D_real: -0.011228 Loss_D_fake 0.014710
[608/5000][335/535][62541] Loss_D: -0.025705 Loss_G: 0.023860 Loss_D_real: -0.026612 Loss_D_fake -0.000907
[608/5000][340/535][62542] Loss_D: -0.025679 Loss_G: 0.030687 Loss_D_real: -0.023836 Loss_D_fake 0.001843
[608/5000][345/535][62543] Loss_D: -0.025969 Loss_G: 0.019188 Loss_D_real: -0.025946 Loss_D_fake 0.000023
[608/5000][350/535][62544] Loss_D: -0.026155 Loss_G: -0.001685 Loss_D_real: -0.001521 Loss_D_fake 0.024634
[608/5000][355/535][62545] Loss_D: -0.024749 Loss_G: 0.010539 Loss_D_real: -0.007998 Loss_D_fake 0.016751
[608/5000][360/535][62546] Loss_D: -0.026049 Loss_G: 0.001341 Loss_D_real: -0.012092 Loss_D_fake 0.013957
[608/5000][365/535][62547] Loss_D: -0.026185 Loss_G: 0.011473 Loss_D_real: -0.003978 Loss_D_fake 0.022207
[608/5000][370/535][62548] Loss_D: -0.022443 Loss_G: 0.039215 Loss_D_real: -0.033533 Loss_D_fake -0.011090
[608/5000][375/535][62549] Loss_D: -0.023414 Loss_G: 0.038742 Loss_D_real: -0.026133 Loss_D_fake -0.002719
[608/5000][380/535][62550] Loss_D: -0.022603 Loss_G: -0.009947 Loss_D_real: -0.000420 Loss_D_fake 0.022183
[608/5000][385/535][62551] Loss_D: -0.024844 Loss_G: 0.020716 Loss_D_real: -0.015716 Loss_D_fake 0.009128
[608/5000][390/535][62552] Loss_D: -0.026393 Loss_G: 0.008117 Loss_D_real: -0.013977 Loss_D_fake 0.012417
[608/5000][395/535][62553] Loss_D: -0.024710 Loss_G: 0.029808 Loss_D_real: -0.030286 Loss_D_fake -0.005576
[608/5000][400/535][62554] Loss_D: -0.024463 Loss_G: 0.024133 Loss_D_real: -0.015746 Loss_D_fake 0.008717
[608/5000][405/535][62555] Loss_D: -0.024567 Loss_G: 0.033293 Loss_D_real: -0.027622 Loss_D_fake -0.003054
[608/5000][410/535][62556] Loss_D: -0.023810 Loss_G: 0.026349 Loss_D_real: -0.036325 Loss_D_fake -0.012515
[608/5000][415/535][62557] Loss_D: -0.024295 Loss_G: 0.009140 Loss_D_real: -0.013363 Loss_D_fake 0.010932
[608/5000][420/535][62558] Loss_D: -0.024142 Loss_G: -0.002426 Loss_D_real: -0.003445 Loss_D_fake 0.020698
[608/5000][425/535][62559] Loss_D: -0.023851 Loss_G: 0.010598 Loss_D_real: -0.004429 Loss_D_fake 0.019423
[608/5000][430/535][62560] Loss_D: -0.024726 Loss_G: 0.010721 Loss_D_real: -0.004365 Loss_D_fake 0.020361
[608/5000][435/535][62561] Loss_D: -0.026074 Loss_G: 0.016886 Loss_D_real: -0.024818 Loss_D_fake 0.001256
[608/5000][440/535][62562] Loss_D: -0.025193 Loss_G: 0.023917 Loss_D_real: -0.015811 Loss_D_fake 0.009382
[608/5000][445/535][62563] Loss_D: -0.024905 Loss_G: 0.018703 Loss_D_real: -0.019040 Loss_D_fake 0.005865
[608/5000][450/535][62564] Loss_D: -0.025111 Loss_G: -0.016155 Loss_D_real: 0.004336 Loss_D_fake 0.029446
[608/5000][455/535][62565] Loss_D: -0.023278 Loss_G: 0.012102 Loss_D_real: -0.010387 Loss_D_fake 0.012892
[608/5000][460/535][62566] Loss_D: -0.023360 Loss_G: 0.034282 Loss_D_real: -0.028087 Loss_D_fake -0.004727
[608/5000][465/535][62567] Loss_D: -0.024656 Loss_G: 0.023932 Loss_D_real: -0.014871 Loss_D_fake 0.009785
[608/5000][470/535][62568] Loss_D: -0.025946 Loss_G: 0.011395 Loss_D_real: -0.019476 Loss_D_fake 0.006470
[608/5000][475/535][62569] Loss_D: -0.022158 Loss_G: 0.025734 Loss_D_real: -0.026536 Loss_D_fake -0.004379
[608/5000][480/535][62570] Loss_D: -0.024916 Loss_G: 0.008209 Loss_D_real: -0.011109 Loss_D_fake 0.013807
[608/5000][485/535][62571] Loss_D: -0.024142 Loss_G: 0.016186 Loss_D_real: -0.034790 Loss_D_fake -0.010648
[608/5000][490/535][62572] Loss_D: -0.025164 Loss_G: 0.016976 Loss_D_real: -0.018569 Loss_D_fake 0.006594
[608/5000][495/535][62573] Loss_D: -0.026134 Loss_G: 0.021491 Loss_D_real: -0.010277 Loss_D_fake 0.015856
[608/5000][500/535][62574] Loss_D: -0.024218 Loss_G: -0.002096 Loss_D_real: -0.001866 Loss_D_fake 0.022352
[608/5000][505/535][62575] Loss_D: -0.023072 Loss_G: -0.008453 Loss_D_real: -0.003924 Loss_D_fake 0.019148
[608/5000][510/535][62576] Loss_D: -0.025038 Loss_G: 0.010590 Loss_D_real: -0.017310 Loss_D_fake 0.007728
[608/5000][515/535][62577] Loss_D: -0.026208 Loss_G: 0.015820 Loss_D_real: -0.015031 Loss_D_fake 0.011178
[608/5000][520/535][62578] Loss_D: -0.024475 Loss_G: 0.023178 Loss_D_real: -0.026086 Loss_D_fake -0.001611
[608/5000][525/535][62579] Loss_D: -0.026440 Loss_G: 0.004499 Loss_D_real: -0.013608 Loss_D_fake 0.012832
[608/5000][530/535][62580] Loss_D: -0.023650 Loss_G: 0.029499 Loss_D_real: -0.029263 Loss_D_fake -0.005613
[608/5000][535/535][62581] Loss_D: -0.020168 Loss_G: 0.014082 Loss_D_real: -0.024371 Loss_D_fake -0.004203
[609/5000][5/535][62582] Loss_D: -0.025380 Loss_G: -0.002930 Loss_D_real: -0.004321 Loss_D_fake 0.021059
[609/5000][10/535][62583] Loss_D: -0.024945 Loss_G: 0.020480 Loss_D_real: -0.024245 Loss_D_fake 0.000699
[609/5000][15/535][62584] Loss_D: -0.024589 Loss_G: 0.004326 Loss_D_real: -0.005278 Loss_D_fake 0.019311
[609/5000][20/535][62585] Loss_D: -0.024331 Loss_G: 0.017987 Loss_D_real: -0.009082 Loss_D_fake 0.015248
[609/5000][25/535][62586] Loss_D: -0.024854 Loss_G: 0.026232 Loss_D_real: -0.015257 Loss_D_fake 0.009597
[609/5000][30/535][62587] Loss_D: -0.025246 Loss_G: 0.021561 Loss_D_real: -0.010910 Loss_D_fake 0.014336
[609/5000][35/535][62588] Loss_D: -0.023358 Loss_G: 0.035524 Loss_D_real: -0.036892 Loss_D_fake -0.013533
[609/5000][40/535][62589] Loss_D: -0.025648 Loss_G: 0.015951 Loss_D_real: -0.024873 Loss_D_fake 0.000775
[609/5000][45/535][62590] Loss_D: -0.024444 Loss_G: 0.026045 Loss_D_real: -0.020100 Loss_D_fake 0.004344
[609/5000][50/535][62591] Loss_D: -0.024203 Loss_G: 0.009484 Loss_D_real: -0.009849 Loss_D_fake 0.014354
[609/5000][55/535][62592] Loss_D: -0.024483 Loss_G: 0.006279 Loss_D_real: -0.017379 Loss_D_fake 0.007104
[609/5000][60/535][62593] Loss_D: -0.023479 Loss_G: 0.022934 Loss_D_real: -0.006451 Loss_D_fake 0.017028
[609/5000][65/535][62594] Loss_D: -0.023554 Loss_G: 0.004991 Loss_D_real: -0.009543 Loss_D_fake 0.014011
[609/5000][70/535][62595] Loss_D: -0.023671 Loss_G: 0.024653 Loss_D_real: -0.022902 Loss_D_fake 0.000769
[609/5000][75/535][62596] Loss_D: -0.024065 Loss_G: 0.006702 Loss_D_real: -0.004952 Loss_D_fake 0.019113
[609/5000][80/535][62597] Loss_D: -0.024389 Loss_G: 0.021515 Loss_D_real: -0.029157 Loss_D_fake -0.004768
[609/5000][85/535][62598] Loss_D: -0.025224 Loss_G: -0.002229 Loss_D_real: -0.001352 Loss_D_fake 0.023873
[609/5000][90/535][62599] Loss_D: -0.024285 Loss_G: 0.013050 Loss_D_real: -0.010840 Loss_D_fake 0.013445
[609/5000][95/535][62600] Loss_D: -0.024422 Loss_G: 0.034946 Loss_D_real: -0.028188 Loss_D_fake -0.003766
[609/5000][100/535][62601] Loss_D: -0.025608 Loss_G: 0.010517 Loss_D_real: -0.004134 Loss_D_fake 0.021474
[609/5000][105/535][62602] Loss_D: -0.025533 Loss_G: 0.026076 Loss_D_real: -0.021964 Loss_D_fake 0.003569
[609/5000][110/535][62603] Loss_D: -0.025797 Loss_G: 0.021425 Loss_D_real: -0.014852 Loss_D_fake 0.010946
[609/5000][115/535][62604] Loss_D: -0.025630 Loss_G: 0.002117 Loss_D_real: -0.011813 Loss_D_fake 0.013817
[609/5000][120/535][62605] Loss_D: -0.024060 Loss_G: 0.024868 Loss_D_real: -0.030822 Loss_D_fake -0.006762
[609/5000][125/535][62606] Loss_D: -0.025649 Loss_G: 0.018951 Loss_D_real: -0.013890 Loss_D_fake 0.011758
[609/5000][130/535][62607] Loss_D: -0.025517 Loss_G: 0.017785 Loss_D_real: -0.025543 Loss_D_fake -0.000026
[609/5000][135/535][62608] Loss_D: -0.024850 Loss_G: 0.011755 Loss_D_real: -0.010761 Loss_D_fake 0.014090
[609/5000][140/535][62609] Loss_D: -0.024792 Loss_G: 0.014407 Loss_D_real: -0.021175 Loss_D_fake 0.003617
[609/5000][145/535][62610] Loss_D: -0.025039 Loss_G: 0.018473 Loss_D_real: -0.023375 Loss_D_fake 0.001664
[609/5000][150/535][62611] Loss_D: -0.026223 Loss_G: 0.014979 Loss_D_real: -0.011737 Loss_D_fake 0.014486
[609/5000][155/535][62612] Loss_D: -0.025301 Loss_G: 0.026572 Loss_D_real: -0.020290 Loss_D_fake 0.005011
[609/5000][160/535][62613] Loss_D: -0.024442 Loss_G: 0.013712 Loss_D_real: -0.007483 Loss_D_fake 0.016960
[609/5000][165/535][62614] Loss_D: -0.025726 Loss_G: 0.022473 Loss_D_real: -0.015984 Loss_D_fake 0.009743
[609/5000][170/535][62615] Loss_D: -0.025324 Loss_G: -0.002021 Loss_D_real: -0.000814 Loss_D_fake 0.024510
[609/5000][175/535][62616] Loss_D: -0.024155 Loss_G: 0.024134 Loss_D_real: -0.015344 Loss_D_fake 0.008811
[609/5000][180/535][62617] Loss_D: -0.026495 Loss_G: 0.021128 Loss_D_real: -0.020457 Loss_D_fake 0.006038
[609/5000][185/535][62618] Loss_D: -0.025906 Loss_G: 0.013902 Loss_D_real: -0.017107 Loss_D_fake 0.008798
[609/5000][190/535][62619] Loss_D: -0.024640 Loss_G: 0.004168 Loss_D_real: -0.014694 Loss_D_fake 0.009946
[609/5000][195/535][62620] Loss_D: -0.022793 Loss_G: 0.035899 Loss_D_real: -0.034900 Loss_D_fake -0.012106
[609/5000][200/535][62621] Loss_D: -0.024228 Loss_G: 0.002659 Loss_D_real: -0.007633 Loss_D_fake 0.016596
[609/5000][205/535][62622] Loss_D: -0.024113 Loss_G: 0.017012 Loss_D_real: -0.021462 Loss_D_fake 0.002651
[609/5000][210/535][62623] Loss_D: -0.025165 Loss_G: 0.014859 Loss_D_real: -0.006606 Loss_D_fake 0.018559
[609/5000][215/535][62624] Loss_D: -0.024292 Loss_G: 0.024660 Loss_D_real: -0.014815 Loss_D_fake 0.009477
[609/5000][220/535][62625] Loss_D: -0.025127 Loss_G: 0.022598 Loss_D_real: -0.022952 Loss_D_fake 0.002175
[609/5000][225/535][62626] Loss_D: -0.025661 Loss_G: 0.013217 Loss_D_real: -0.018281 Loss_D_fake 0.007381
[609/5000][230/535][62627] Loss_D: -0.026199 Loss_G: 0.000483 Loss_D_real: -0.008434 Loss_D_fake 0.017765
[609/5000][235/535][62628] Loss_D: -0.024762 Loss_G: -0.006255 Loss_D_real: -0.003145 Loss_D_fake 0.021617
[609/5000][240/535][62629] Loss_D: -0.023972 Loss_G: 0.019870 Loss_D_real: -0.016190 Loss_D_fake 0.007782
[609/5000][245/535][62630] Loss_D: -0.023942 Loss_G: 0.026524 Loss_D_real: -0.015971 Loss_D_fake 0.007970
[609/5000][250/535][62631] Loss_D: -0.023983 Loss_G: 0.009361 Loss_D_real: -0.010709 Loss_D_fake 0.013274
[609/5000][255/535][62632] Loss_D: -0.023065 Loss_G: 0.043626 Loss_D_real: -0.032955 Loss_D_fake -0.009890
[609/5000][260/535][62633] Loss_D: -0.024304 Loss_G: 0.017663 Loss_D_real: -0.021225 Loss_D_fake 0.003079
[609/5000][265/535][62634] Loss_D: -0.026460 Loss_G: 0.014202 Loss_D_real: -0.016017 Loss_D_fake 0.010443
[609/5000][270/535][62635] Loss_D: -0.025061 Loss_G: 0.039120 Loss_D_real: -0.029336 Loss_D_fake -0.004275
[609/5000][275/535][62636] Loss_D: -0.026524 Loss_G: -0.008564 Loss_D_real: -0.004942 Loss_D_fake 0.021583
[609/5000][280/535][62637] Loss_D: -0.023378 Loss_G: 0.033029 Loss_D_real: -0.025924 Loss_D_fake -0.002546
[609/5000][285/535][62638] Loss_D: -0.024597 Loss_G: 0.024160 Loss_D_real: -0.022725 Loss_D_fake 0.001872
[609/5000][290/535][62639] Loss_D: -0.024310 Loss_G: -0.012036 Loss_D_real: 0.008478 Loss_D_fake 0.032789
[609/5000][295/535][62640] Loss_D: -0.023525 Loss_G: 0.032394 Loss_D_real: -0.022770 Loss_D_fake 0.000755
[609/5000][300/535][62641] Loss_D: -0.023162 Loss_G: -0.008163 Loss_D_real: 0.001783 Loss_D_fake 0.024945
[609/5000][305/535][62642] Loss_D: -0.023001 Loss_G: 0.026015 Loss_D_real: -0.020735 Loss_D_fake 0.002265
[609/5000][310/535][62643] Loss_D: -0.024477 Loss_G: 0.015077 Loss_D_real: -0.012843 Loss_D_fake 0.011635
[609/5000][315/535][62644] Loss_D: -0.024303 Loss_G: -0.009910 Loss_D_real: -0.004919 Loss_D_fake 0.019385
[609/5000][320/535][62645] Loss_D: -0.025424 Loss_G: 0.017836 Loss_D_real: -0.017532 Loss_D_fake 0.007892
[609/5000][325/535][62646] Loss_D: -0.024170 Loss_G: 0.010937 Loss_D_real: -0.015073 Loss_D_fake 0.009096
[609/5000][330/535][62647] Loss_D: -0.023869 Loss_G: 0.020927 Loss_D_real: -0.029523 Loss_D_fake -0.005654
[609/5000][335/535][62648] Loss_D: -0.025760 Loss_G: 0.012783 Loss_D_real: -0.012990 Loss_D_fake 0.012770
[609/5000][340/535][62649] Loss_D: -0.025100 Loss_G: 0.022841 Loss_D_real: -0.014376 Loss_D_fake 0.010724
[609/5000][345/535][62650] Loss_D: -0.024028 Loss_G: 0.001788 Loss_D_real: -0.005762 Loss_D_fake 0.018266
[609/5000][350/535][62651] Loss_D: -0.024048 Loss_G: 0.015791 Loss_D_real: -0.022478 Loss_D_fake 0.001569
[609/5000][355/535][62652] Loss_D: -0.024094 Loss_G: 0.014280 Loss_D_real: -0.008322 Loss_D_fake 0.015771
[609/5000][360/535][62653] Loss_D: -0.024728 Loss_G: 0.020300 Loss_D_real: -0.019114 Loss_D_fake 0.005614
[609/5000][365/535][62654] Loss_D: -0.025249 Loss_G: 0.018453 Loss_D_real: -0.013308 Loss_D_fake 0.011941
[609/5000][370/535][62655] Loss_D: -0.025260 Loss_G: 0.004647 Loss_D_real: -0.016879 Loss_D_fake 0.008381
[609/5000][375/535][62656] Loss_D: -0.026060 Loss_G: 0.010173 Loss_D_real: -0.015338 Loss_D_fake 0.010722
[609/5000][380/535][62657] Loss_D: -0.025208 Loss_G: 0.037148 Loss_D_real: -0.020943 Loss_D_fake 0.004265
[609/5000][385/535][62658] Loss_D: -0.025034 Loss_G: -0.001147 Loss_D_real: -0.002931 Loss_D_fake 0.022103
[609/5000][390/535][62659] Loss_D: -0.025589 Loss_G: 0.014226 Loss_D_real: -0.017804 Loss_D_fake 0.007785
[609/5000][395/535][62660] Loss_D: -0.026056 Loss_G: 0.017185 Loss_D_real: -0.023051 Loss_D_fake 0.003004
[609/5000][400/535][62661] Loss_D: -0.025236 Loss_G: 0.010979 Loss_D_real: -0.005320 Loss_D_fake 0.019916
[609/5000][405/535][62662] Loss_D: -0.025022 Loss_G: 0.022955 Loss_D_real: -0.020073 Loss_D_fake 0.004949
[609/5000][410/535][62663] Loss_D: -0.024689 Loss_G: 0.028306 Loss_D_real: -0.025912 Loss_D_fake -0.001223
[609/5000][415/535][62664] Loss_D: -0.024236 Loss_G: 0.041927 Loss_D_real: -0.023715 Loss_D_fake 0.000521
[609/5000][420/535][62665] Loss_D: -0.024568 Loss_G: -0.001396 Loss_D_real: -0.003922 Loss_D_fake 0.020646
[609/5000][425/535][62666] Loss_D: -0.023965 Loss_G: -0.000712 Loss_D_real: -0.009269 Loss_D_fake 0.014696
[609/5000][430/535][62667] Loss_D: -0.024767 Loss_G: 0.010842 Loss_D_real: -0.018269 Loss_D_fake 0.006499
[609/5000][435/535][62668] Loss_D: -0.025803 Loss_G: 0.027394 Loss_D_real: -0.020022 Loss_D_fake 0.005781
[609/5000][440/535][62669] Loss_D: -0.026245 Loss_G: 0.023079 Loss_D_real: -0.023317 Loss_D_fake 0.002929
[609/5000][445/535][62670] Loss_D: -0.024067 Loss_G: -0.000597 Loss_D_real: 0.000748 Loss_D_fake 0.024815
[609/5000][450/535][62671] Loss_D: -0.024216 Loss_G: 0.023431 Loss_D_real: -0.025694 Loss_D_fake -0.001478
[609/5000][455/535][62672] Loss_D: -0.025215 Loss_G: 0.007296 Loss_D_real: -0.004555 Loss_D_fake 0.020660
[609/5000][460/535][62673] Loss_D: -0.023769 Loss_G: 0.006813 Loss_D_real: 0.005366 Loss_D_fake 0.029135
[609/5000][465/535][62674] Loss_D: -0.023301 Loss_G: 0.037503 Loss_D_real: -0.035365 Loss_D_fake -0.012064
[609/5000][470/535][62675] Loss_D: -0.026539 Loss_G: 0.009917 Loss_D_real: -0.016755 Loss_D_fake 0.009783
[609/5000][475/535][62676] Loss_D: -0.026050 Loss_G: 0.018826 Loss_D_real: -0.023338 Loss_D_fake 0.002712
[609/5000][480/535][62677] Loss_D: -0.025866 Loss_G: 0.016403 Loss_D_real: -0.012467 Loss_D_fake 0.013399
[609/5000][485/535][62678] Loss_D: -0.025729 Loss_G: 0.012974 Loss_D_real: -0.018756 Loss_D_fake 0.006973
[609/5000][490/535][62679] Loss_D: -0.026032 Loss_G: 0.004183 Loss_D_real: -0.007089 Loss_D_fake 0.018943
[609/5000][495/535][62680] Loss_D: -0.024545 Loss_G: 0.034603 Loss_D_real: -0.025304 Loss_D_fake -0.000760
[609/5000][500/535][62681] Loss_D: -0.024062 Loss_G: -0.012043 Loss_D_real: 0.007711 Loss_D_fake 0.031772
[609/5000][505/535][62682] Loss_D: -0.023252 Loss_G: 0.007983 Loss_D_real: -0.003197 Loss_D_fake 0.020055
[609/5000][510/535][62683] Loss_D: -0.024760 Loss_G: 0.035510 Loss_D_real: -0.027329 Loss_D_fake -0.002569
[609/5000][515/535][62684] Loss_D: -0.025588 Loss_G: 0.020218 Loss_D_real: -0.029720 Loss_D_fake -0.004132
[609/5000][520/535][62685] Loss_D: -0.026760 Loss_G: 0.008315 Loss_D_real: -0.012097 Loss_D_fake 0.014663
[609/5000][525/535][62686] Loss_D: -0.024915 Loss_G: 0.009774 Loss_D_real: -0.014782 Loss_D_fake 0.010133
[609/5000][530/535][62687] Loss_D: -0.025275 Loss_G: -0.001116 Loss_D_real: -0.005290 Loss_D_fake 0.019985
[609/5000][535/535][62688] Loss_D: -0.025904 Loss_G: 0.015727 Loss_D_real: -0.013771 Loss_D_fake 0.012133
[610/5000][5/535][62689] Loss_D: -0.025707 Loss_G: 0.025055 Loss_D_real: -0.008389 Loss_D_fake 0.017318
[610/5000][10/535][62690] Loss_D: -0.024925 Loss_G: -0.012078 Loss_D_real: -0.004080 Loss_D_fake 0.020845
[610/5000][15/535][62691] Loss_D: -0.024963 Loss_G: -0.003405 Loss_D_real: 0.002207 Loss_D_fake 0.027170
[610/5000][20/535][62692] Loss_D: -0.025273 Loss_G: 0.023900 Loss_D_real: -0.026606 Loss_D_fake -0.001334
[610/5000][25/535][62693] Loss_D: -0.023934 Loss_G: 0.026661 Loss_D_real: -0.014433 Loss_D_fake 0.009501
[610/5000][30/535][62694] Loss_D: -0.025840 Loss_G: 0.003875 Loss_D_real: -0.006056 Loss_D_fake 0.019784
[610/5000][35/535][62695] Loss_D: -0.024756 Loss_G: 0.043804 Loss_D_real: -0.029669 Loss_D_fake -0.004913
[610/5000][40/535][62696] Loss_D: -0.024969 Loss_G: -0.008182 Loss_D_real: -0.014039 Loss_D_fake 0.010930
[610/5000][45/535][62697] Loss_D: -0.025092 Loss_G: 0.024674 Loss_D_real: -0.021037 Loss_D_fake 0.004056
[610/5000][50/535][62698] Loss_D: -0.023489 Loss_G: 0.022930 Loss_D_real: -0.003753 Loss_D_fake 0.019736
[610/5000][55/535][62699] Loss_D: -0.024410 Loss_G: 0.004622 Loss_D_real: -0.003733 Loss_D_fake 0.020676
[610/5000][60/535][62700] Loss_D: -0.024550 Loss_G: 0.009892 Loss_D_real: -0.013986 Loss_D_fake 0.010564
[610/5000][65/535][62701] Loss_D: -0.025369 Loss_G: 0.028545 Loss_D_real: -0.031516 Loss_D_fake -0.006147
[610/5000][70/535][62702] Loss_D: -0.026108 Loss_G: 0.013593 Loss_D_real: -0.019384 Loss_D_fake 0.006725
[610/5000][75/535][62703] Loss_D: -0.024607 Loss_G: 0.035914 Loss_D_real: -0.025195 Loss_D_fake -0.000588
[610/5000][80/535][62704] Loss_D: -0.025570 Loss_G: 0.009639 Loss_D_real: -0.024524 Loss_D_fake 0.001046
[610/5000][85/535][62705] Loss_D: -0.025433 Loss_G: 0.033750 Loss_D_real: -0.020175 Loss_D_fake 0.005259
[610/5000][90/535][62706] Loss_D: -0.024392 Loss_G: 0.013269 Loss_D_real: -0.012767 Loss_D_fake 0.011625
[610/5000][95/535][62707] Loss_D: -0.023864 Loss_G: 0.020705 Loss_D_real: -0.030231 Loss_D_fake -0.006367
[610/5000][100/535][62708] Loss_D: -0.025337 Loss_G: 0.019168 Loss_D_real: -0.014903 Loss_D_fake 0.010434
[610/5000][105/535][62709] Loss_D: -0.025934 Loss_G: 0.014015 Loss_D_real: -0.005173 Loss_D_fake 0.020761
[610/5000][110/535][62710] Loss_D: -0.025518 Loss_G: 0.006009 Loss_D_real: -0.015637 Loss_D_fake 0.009882
[610/5000][115/535][62711] Loss_D: -0.024251 Loss_G: 0.005535 Loss_D_real: -0.017531 Loss_D_fake 0.006720
[610/5000][120/535][62712] Loss_D: -0.023703 Loss_G: 0.031826 Loss_D_real: -0.025331 Loss_D_fake -0.001627
[610/5000][125/535][62713] Loss_D: -0.023805 Loss_G: 0.038710 Loss_D_real: -0.029236 Loss_D_fake -0.005432
[610/5000][130/535][62714] Loss_D: -0.023766 Loss_G: 0.030267 Loss_D_real: -0.031999 Loss_D_fake -0.008233
[610/5000][135/535][62715] Loss_D: -0.025762 Loss_G: 0.004067 Loss_D_real: -0.016277 Loss_D_fake 0.009485
[610/5000][140/535][62716] Loss_D: -0.025479 Loss_G: 0.020531 Loss_D_real: -0.020529 Loss_D_fake 0.004950
[610/5000][145/535][62717] Loss_D: -0.025751 Loss_G: 0.025530 Loss_D_real: -0.018712 Loss_D_fake 0.007039
[610/5000][150/535][62718] Loss_D: -0.024726 Loss_G: 0.030411 Loss_D_real: -0.022256 Loss_D_fake 0.002471
[610/5000][155/535][62719] Loss_D: -0.023822 Loss_G: 0.035639 Loss_D_real: -0.033092 Loss_D_fake -0.009270
[610/5000][160/535][62720] Loss_D: -0.026455 Loss_G: 0.007886 Loss_D_real: -0.017898 Loss_D_fake 0.008557
[610/5000][165/535][62721] Loss_D: -0.023531 Loss_G: -0.009017 Loss_D_real: 0.000186 Loss_D_fake 0.023718
[610/5000][170/535][62722] Loss_D: -0.024310 Loss_G: -0.005297 Loss_D_real: -0.014597 Loss_D_fake 0.009712
[610/5000][175/535][62723] Loss_D: -0.022570 Loss_G: 0.042129 Loss_D_real: -0.030635 Loss_D_fake -0.008065
[610/5000][180/535][62724] Loss_D: -0.025431 Loss_G: 0.018645 Loss_D_real: -0.018009 Loss_D_fake 0.007422
[610/5000][185/535][62725] Loss_D: -0.024028 Loss_G: 0.012247 Loss_D_real: -0.012037 Loss_D_fake 0.011990
[610/5000][190/535][62726] Loss_D: -0.024415 Loss_G: 0.006672 Loss_D_real: -0.008674 Loss_D_fake 0.015741
[610/5000][195/535][62727] Loss_D: -0.024382 Loss_G: 0.005116 Loss_D_real: -0.012186 Loss_D_fake 0.012196
[610/5000][200/535][62728] Loss_D: -0.024750 Loss_G: 0.019738 Loss_D_real: -0.022132 Loss_D_fake 0.002618
[610/5000][205/535][62729] Loss_D: -0.025147 Loss_G: 0.033007 Loss_D_real: -0.018429 Loss_D_fake 0.006718
[610/5000][210/535][62730] Loss_D: -0.024352 Loss_G: 0.002243 Loss_D_real: 0.003168 Loss_D_fake 0.027519
[610/5000][215/535][62731] Loss_D: -0.024988 Loss_G: 0.005911 Loss_D_real: -0.011470 Loss_D_fake 0.013518
[610/5000][220/535][62732] Loss_D: -0.025303 Loss_G: 0.023869 Loss_D_real: -0.023546 Loss_D_fake 0.001757
[610/5000][225/535][62733] Loss_D: -0.027686 Loss_G: 0.032775 Loss_D_real: -0.020105 Loss_D_fake 0.007581
[610/5000][230/535][62734] Loss_D: -0.025646 Loss_G: 0.017585 Loss_D_real: -0.018303 Loss_D_fake 0.007342
[610/5000][235/535][62735] Loss_D: -0.025209 Loss_G: 0.015130 Loss_D_real: -0.023788 Loss_D_fake 0.001422
[610/5000][240/535][62736] Loss_D: -0.023760 Loss_G: 0.026867 Loss_D_real: -0.026567 Loss_D_fake -0.002807
[610/5000][245/535][62737] Loss_D: -0.022608 Loss_G: -0.005466 Loss_D_real: 0.009826 Loss_D_fake 0.032434
[610/5000][250/535][62738] Loss_D: -0.023928 Loss_G: 0.023615 Loss_D_real: -0.027417 Loss_D_fake -0.003489
[610/5000][255/535][62739] Loss_D: -0.024619 Loss_G: 0.005829 Loss_D_real: -0.012900 Loss_D_fake 0.011719
[610/5000][260/535][62740] Loss_D: -0.025049 Loss_G: 0.011805 Loss_D_real: -0.004047 Loss_D_fake 0.021002
[610/5000][265/535][62741] Loss_D: -0.025881 Loss_G: 0.005389 Loss_D_real: -0.007034 Loss_D_fake 0.018847
[610/5000][270/535][62742] Loss_D: -0.025482 Loss_G: 0.005749 Loss_D_real: -0.012236 Loss_D_fake 0.013246
[610/5000][275/535][62743] Loss_D: -0.025353 Loss_G: 0.015497 Loss_D_real: -0.005470 Loss_D_fake 0.019883
[610/5000][280/535][62744] Loss_D: -0.024835 Loss_G: 0.026929 Loss_D_real: -0.020784 Loss_D_fake 0.004051
[610/5000][285/535][62745] Loss_D: -0.024779 Loss_G: 0.031665 Loss_D_real: -0.022533 Loss_D_fake 0.002246
[610/5000][290/535][62746] Loss_D: -0.024857 Loss_G: 0.014280 Loss_D_real: -0.018108 Loss_D_fake 0.006749
[610/5000][295/535][62747] Loss_D: -0.025303 Loss_G: 0.003886 Loss_D_real: -0.010218 Loss_D_fake 0.015085
[610/5000][300/535][62748] Loss_D: -0.025412 Loss_G: 0.014510 Loss_D_real: -0.015799 Loss_D_fake 0.009613
[610/5000][305/535][62749] Loss_D: -0.023664 Loss_G: 0.003746 Loss_D_real: -0.005713 Loss_D_fake 0.017951
[610/5000][310/535][62750] Loss_D: -0.025472 Loss_G: -0.000352 Loss_D_real: -0.006168 Loss_D_fake 0.019304
[610/5000][315/535][62751] Loss_D: -0.023988 Loss_G: -0.000454 Loss_D_real: -0.007847 Loss_D_fake 0.016141
[610/5000][320/535][62752] Loss_D: -0.024041 Loss_G: 0.032574 Loss_D_real: -0.023549 Loss_D_fake 0.000492
[610/5000][325/535][62753] Loss_D: -0.023442 Loss_G: 0.031157 Loss_D_real: -0.021016 Loss_D_fake 0.002426
[610/5000][330/535][62754] Loss_D: -0.026953 Loss_G: 0.005422 Loss_D_real: -0.013125 Loss_D_fake 0.013828
[610/5000][335/535][62755] Loss_D: -0.024970 Loss_G: 0.000124 Loss_D_real: 0.001218 Loss_D_fake 0.026189
[610/5000][340/535][62756] Loss_D: -0.024234 Loss_G: 0.017326 Loss_D_real: -0.024328 Loss_D_fake -0.000094
[610/5000][345/535][62757] Loss_D: -0.025568 Loss_G: 0.014781 Loss_D_real: -0.012500 Loss_D_fake 0.013068
[610/5000][350/535][62758] Loss_D: -0.023696 Loss_G: 0.019979 Loss_D_real: -0.017647 Loss_D_fake 0.006049
[610/5000][355/535][62759] Loss_D: -0.023577 Loss_G: 0.017470 Loss_D_real: -0.031156 Loss_D_fake -0.007579
[610/5000][360/535][62760] Loss_D: -0.025826 Loss_G: 0.009251 Loss_D_real: -0.014512 Loss_D_fake 0.011314
[610/5000][365/535][62761] Loss_D: -0.025463 Loss_G: 0.011063 Loss_D_real: -0.013255 Loss_D_fake 0.012208
[610/5000][370/535][62762] Loss_D: -0.025235 Loss_G: -0.002268 Loss_D_real: -0.000441 Loss_D_fake 0.024793
[610/5000][375/535][62763] Loss_D: -0.023727 Loss_G: 0.014871 Loss_D_real: -0.014090 Loss_D_fake 0.009637
[610/5000][380/535][62764] Loss_D: -0.023627 Loss_G: 0.005600 Loss_D_real: 0.004378 Loss_D_fake 0.028006
[610/5000][385/535][62765] Loss_D: -0.024519 Loss_G: 0.012993 Loss_D_real: -0.016377 Loss_D_fake 0.008141
[610/5000][390/535][62766] Loss_D: -0.026292 Loss_G: 0.024967 Loss_D_real: -0.016346 Loss_D_fake 0.009947
[610/5000][395/535][62767] Loss_D: -0.025536 Loss_G: 0.023811 Loss_D_real: -0.023133 Loss_D_fake 0.002403
[610/5000][400/535][62768] Loss_D: -0.025023 Loss_G: 0.004804 Loss_D_real: -0.009167 Loss_D_fake 0.015856
[610/5000][405/535][62769] Loss_D: -0.025823 Loss_G: 0.012852 Loss_D_real: -0.010263 Loss_D_fake 0.015560
[610/5000][410/535][62770] Loss_D: -0.025328 Loss_G: 0.004899 Loss_D_real: -0.006267 Loss_D_fake 0.019061
[610/5000][415/535][62771] Loss_D: -0.023935 Loss_G: 0.008273 Loss_D_real: -0.012427 Loss_D_fake 0.011508
[610/5000][420/535][62772] Loss_D: -0.022453 Loss_G: 0.043944 Loss_D_real: -0.034201 Loss_D_fake -0.011747
[610/5000][425/535][62773] Loss_D: -0.024206 Loss_G: 0.018516 Loss_D_real: -0.022131 Loss_D_fake 0.002075
[610/5000][430/535][62774] Loss_D: -0.023613 Loss_G: 0.010758 Loss_D_real: -0.018952 Loss_D_fake 0.004661
[610/5000][435/535][62775] Loss_D: -0.025240 Loss_G: 0.014040 Loss_D_real: -0.021913 Loss_D_fake 0.003328
[610/5000][440/535][62776] Loss_D: -0.023941 Loss_G: 0.014594 Loss_D_real: -0.001798 Loss_D_fake 0.022143
[610/5000][445/535][62777] Loss_D: -0.024992 Loss_G: 0.014315 Loss_D_real: -0.019292 Loss_D_fake 0.005700
[610/5000][450/535][62778] Loss_D: -0.025274 Loss_G: -0.008579 Loss_D_real: -0.006620 Loss_D_fake 0.018655
[610/5000][455/535][62779] Loss_D: -0.026084 Loss_G: 0.029407 Loss_D_real: -0.021582 Loss_D_fake 0.004502
[610/5000][460/535][62780] Loss_D: -0.024618 Loss_G: 0.018401 Loss_D_real: -0.020974 Loss_D_fake 0.003645
[610/5000][465/535][62781] Loss_D: -0.025575 Loss_G: 0.012169 Loss_D_real: -0.008787 Loss_D_fake 0.016788
[610/5000][470/535][62782] Loss_D: -0.025802 Loss_G: -0.004733 Loss_D_real: -0.012870 Loss_D_fake 0.012932
[610/5000][475/535][62783] Loss_D: -0.026526 Loss_G: 0.027443 Loss_D_real: -0.025855 Loss_D_fake 0.000671
[610/5000][480/535][62784] Loss_D: -0.025351 Loss_G: 0.026894 Loss_D_real: -0.016435 Loss_D_fake 0.008916
[610/5000][485/535][62785] Loss_D: -0.024725 Loss_G: -0.011412 Loss_D_real: 0.003088 Loss_D_fake 0.027813
[610/5000][490/535][62786] Loss_D: -0.024206 Loss_G: 0.006514 Loss_D_real: -0.011001 Loss_D_fake 0.013204
[610/5000][495/535][62787] Loss_D: -0.024299 Loss_G: 0.011576 Loss_D_real: -0.008596 Loss_D_fake 0.015704
[610/5000][500/535][62788] Loss_D: -0.023226 Loss_G: 0.019426 Loss_D_real: -0.014062 Loss_D_fake 0.009164
[610/5000][505/535][62789] Loss_D: -0.023635 Loss_G: 0.015165 Loss_D_real: -0.006935 Loss_D_fake 0.016700
[610/5000][510/535][62790] Loss_D: -0.024939 Loss_G: 0.008364 Loss_D_real: -0.004094 Loss_D_fake 0.020845
[610/5000][515/535][62791] Loss_D: -0.023895 Loss_G: 0.015105 Loss_D_real: -0.021105 Loss_D_fake 0.002790
[610/5000][520/535][62792] Loss_D: -0.024678 Loss_G: 0.018277 Loss_D_real: -0.025138 Loss_D_fake -0.000460
[610/5000][525/535][62793] Loss_D: -0.025291 Loss_G: -0.004073 Loss_D_real: 0.006802 Loss_D_fake 0.032093
[610/5000][530/535][62794] Loss_D: -0.025156 Loss_G: 0.002766 Loss_D_real: -0.005493 Loss_D_fake 0.019663
[610/5000][535/535][62795] Loss_D: -0.023422 Loss_G: 0.035693 Loss_D_real: -0.027522 Loss_D_fake -0.004101
[611/5000][5/535][62796] Loss_D: -0.025559 Loss_G: 0.028137 Loss_D_real: -0.018679 Loss_D_fake 0.006880
[611/5000][10/535][62797] Loss_D: -0.025723 Loss_G: 0.018296 Loss_D_real: -0.025263 Loss_D_fake 0.000460
[611/5000][15/535][62798] Loss_D: -0.025656 Loss_G: 0.009263 Loss_D_real: -0.010265 Loss_D_fake 0.015392
[611/5000][20/535][62799] Loss_D: -0.023823 Loss_G: 0.030151 Loss_D_real: -0.027254 Loss_D_fake -0.003432
[611/5000][25/535][62800] Loss_D: -0.025905 Loss_G: 0.008889 Loss_D_real: -0.014642 Loss_D_fake 0.011263
[611/5000][30/535][62801] Loss_D: -0.024880 Loss_G: 0.001644 Loss_D_real: -0.003266 Loss_D_fake 0.021614
[611/5000][35/535][62802] Loss_D: -0.024356 Loss_G: 0.005869 Loss_D_real: -0.014033 Loss_D_fake 0.010323
[611/5000][40/535][62803] Loss_D: -0.025051 Loss_G: 0.010203 Loss_D_real: -0.013174 Loss_D_fake 0.011878
[611/5000][45/535][62804] Loss_D: -0.024793 Loss_G: 0.012632 Loss_D_real: -0.012282 Loss_D_fake 0.012511
[611/5000][50/535][62805] Loss_D: -0.025238 Loss_G: -0.007780 Loss_D_real: 0.000345 Loss_D_fake 0.025582
[611/5000][55/535][62806] Loss_D: -0.023725 Loss_G: -0.011976 Loss_D_real: -0.007535 Loss_D_fake 0.016189
[611/5000][60/535][62807] Loss_D: -0.024609 Loss_G: 0.022837 Loss_D_real: -0.010839 Loss_D_fake 0.013770
[611/5000][65/535][62808] Loss_D: -0.025654 Loss_G: 0.013899 Loss_D_real: -0.014292 Loss_D_fake 0.011362
[611/5000][70/535][62809] Loss_D: -0.024785 Loss_G: 0.023106 Loss_D_real: -0.024435 Loss_D_fake 0.000349
[611/5000][75/535][62810] Loss_D: -0.024077 Loss_G: -0.010839 Loss_D_real: 0.007500 Loss_D_fake 0.031577
[611/5000][80/535][62811] Loss_D: -0.023133 Loss_G: 0.031983 Loss_D_real: -0.033717 Loss_D_fake -0.010584
[611/5000][85/535][62812] Loss_D: -0.025833 Loss_G: 0.007562 Loss_D_real: -0.005705 Loss_D_fake 0.020129
[611/5000][90/535][62813] Loss_D: -0.023862 Loss_G: 0.039435 Loss_D_real: -0.027376 Loss_D_fake -0.003514
[611/5000][95/535][62814] Loss_D: -0.024683 Loss_G: 0.020495 Loss_D_real: -0.020749 Loss_D_fake 0.003934
[611/5000][100/535][62815] Loss_D: -0.026182 Loss_G: 0.028617 Loss_D_real: -0.021359 Loss_D_fake 0.004823
[611/5000][105/535][62816] Loss_D: -0.024017 Loss_G: 0.006608 Loss_D_real: -0.002898 Loss_D_fake 0.021119
[611/5000][110/535][62817] Loss_D: -0.024691 Loss_G: 0.019353 Loss_D_real: -0.022449 Loss_D_fake 0.002242
[611/5000][115/535][62818] Loss_D: -0.025125 Loss_G: 0.024926 Loss_D_real: -0.024601 Loss_D_fake 0.000524
[611/5000][120/535][62819] Loss_D: -0.024932 Loss_G: 0.017752 Loss_D_real: -0.014208 Loss_D_fake 0.010724
[611/5000][125/535][62820] Loss_D: -0.024047 Loss_G: 0.024008 Loss_D_real: -0.036208 Loss_D_fake -0.012161
[611/5000][130/535][62821] Loss_D: -0.026001 Loss_G: 0.021735 Loss_D_real: -0.018363 Loss_D_fake 0.007638
[611/5000][135/535][62822] Loss_D: -0.024278 Loss_G: -0.011849 Loss_D_real: 0.002486 Loss_D_fake 0.026764
[611/5000][140/535][62823] Loss_D: -0.024911 Loss_G: 0.000170 Loss_D_real: -0.014440 Loss_D_fake 0.010470
[611/5000][145/535][62824] Loss_D: -0.024095 Loss_G: 0.007145 Loss_D_real: -0.015836 Loss_D_fake 0.008259
[611/5000][150/535][62825] Loss_D: -0.024570 Loss_G: 0.013667 Loss_D_real: -0.024070 Loss_D_fake 0.000499
[611/5000][155/535][62826] Loss_D: -0.024492 Loss_G: 0.028965 Loss_D_real: -0.014286 Loss_D_fake 0.010206
[611/5000][160/535][62827] Loss_D: -0.025427 Loss_G: 0.008377 Loss_D_real: -0.010955 Loss_D_fake 0.014473
[611/5000][165/535][62828] Loss_D: -0.025589 Loss_G: 0.008959 Loss_D_real: -0.015988 Loss_D_fake 0.009601
[611/5000][170/535][62829] Loss_D: -0.025318 Loss_G: -0.001184 Loss_D_real: -0.010780 Loss_D_fake 0.014538
[611/5000][175/535][62830] Loss_D: -0.024353 Loss_G: 0.031013 Loss_D_real: -0.034556 Loss_D_fake -0.010203
[611/5000][180/535][62831] Loss_D: -0.025122 Loss_G: 0.030333 Loss_D_real: -0.024422 Loss_D_fake 0.000701
[611/5000][185/535][62832] Loss_D: -0.025336 Loss_G: 0.030624 Loss_D_real: -0.026523 Loss_D_fake -0.001187
[611/5000][190/535][62833] Loss_D: -0.025208 Loss_G: 0.004811 Loss_D_real: -0.010621 Loss_D_fake 0.014587
[611/5000][195/535][62834] Loss_D: -0.023580 Loss_G: 0.028840 Loss_D_real: -0.028980 Loss_D_fake -0.005400
[611/5000][200/535][62835] Loss_D: -0.024839 Loss_G: 0.028348 Loss_D_real: -0.023308 Loss_D_fake 0.001531
[611/5000][205/535][62836] Loss_D: -0.025367 Loss_G: -0.006096 Loss_D_real: -0.017451 Loss_D_fake 0.007916
[611/5000][210/535][62837] Loss_D: -0.024629 Loss_G: 0.006513 Loss_D_real: -0.010484 Loss_D_fake 0.014145
[611/5000][215/535][62838] Loss_D: -0.023947 Loss_G: 0.027203 Loss_D_real: -0.015499 Loss_D_fake 0.008448
[611/5000][220/535][62839] Loss_D: -0.023731 Loss_G: -0.004056 Loss_D_real: 0.002825 Loss_D_fake 0.026556
[611/5000][225/535][62840] Loss_D: -0.024882 Loss_G: 0.021490 Loss_D_real: -0.012545 Loss_D_fake 0.012337
[611/5000][230/535][62841] Loss_D: -0.023612 Loss_G: 0.014027 Loss_D_real: -0.013260 Loss_D_fake 0.010353
[611/5000][235/535][62842] Loss_D: -0.024708 Loss_G: 0.016693 Loss_D_real: -0.018100 Loss_D_fake 0.006608
[611/5000][240/535][62843] Loss_D: -0.024765 Loss_G: 0.009432 Loss_D_real: -0.012028 Loss_D_fake 0.012737
[611/5000][245/535][62844] Loss_D: -0.025214 Loss_G: 0.011722 Loss_D_real: -0.010691 Loss_D_fake 0.014523
[611/5000][250/535][62845] Loss_D: -0.023905 Loss_G: 0.038592 Loss_D_real: -0.037433 Loss_D_fake -0.013529
[611/5000][255/535][62846] Loss_D: -0.025079 Loss_G: 0.016164 Loss_D_real: -0.020104 Loss_D_fake 0.004974
[611/5000][260/535][62847] Loss_D: -0.024982 Loss_G: 0.017058 Loss_D_real: -0.019613 Loss_D_fake 0.005369
[611/5000][265/535][62848] Loss_D: -0.026459 Loss_G: 0.015066 Loss_D_real: -0.006075 Loss_D_fake 0.020384
[611/5000][270/535][62849] Loss_D: -0.024865 Loss_G: 0.006150 Loss_D_real: 0.000026 Loss_D_fake 0.024890
[611/5000][275/535][62850] Loss_D: -0.024614 Loss_G: 0.027323 Loss_D_real: -0.022306 Loss_D_fake 0.002308
[611/5000][280/535][62851] Loss_D: -0.026673 Loss_G: 0.016418 Loss_D_real: -0.008935 Loss_D_fake 0.017738
[611/5000][285/535][62852] Loss_D: -0.025834 Loss_G: 0.022750 Loss_D_real: -0.026110 Loss_D_fake -0.000276
[611/5000][290/535][62853] Loss_D: -0.025870 Loss_G: 0.021860 Loss_D_real: -0.028670 Loss_D_fake -0.002800
[611/5000][295/535][62854] Loss_D: -0.025834 Loss_G: 0.018748 Loss_D_real: -0.021321 Loss_D_fake 0.004512
[611/5000][300/535][62855] Loss_D: -0.025104 Loss_G: 0.003570 Loss_D_real: -0.008220 Loss_D_fake 0.016885
[611/5000][305/535][62856] Loss_D: -0.023596 Loss_G: 0.038636 Loss_D_real: -0.026644 Loss_D_fake -0.003049
[611/5000][310/535][62857] Loss_D: -0.025654 Loss_G: 0.008415 Loss_D_real: -0.016444 Loss_D_fake 0.009210
[611/5000][315/535][62858] Loss_D: -0.023749 Loss_G: 0.031023 Loss_D_real: -0.029213 Loss_D_fake -0.005464
[611/5000][320/535][62859] Loss_D: -0.025584 Loss_G: 0.010436 Loss_D_real: -0.018166 Loss_D_fake 0.007418
[611/5000][325/535][62860] Loss_D: -0.023918 Loss_G: 0.024998 Loss_D_real: -0.029361 Loss_D_fake -0.005443
[611/5000][330/535][62861] Loss_D: -0.024629 Loss_G: -0.016540 Loss_D_real: -0.004193 Loss_D_fake 0.020436
[611/5000][335/535][62862] Loss_D: -0.024919 Loss_G: 0.022317 Loss_D_real: -0.014308 Loss_D_fake 0.010610
[611/5000][340/535][62863] Loss_D: -0.024848 Loss_G: 0.009897 Loss_D_real: -0.013265 Loss_D_fake 0.011584
[611/5000][345/535][62864] Loss_D: -0.023995 Loss_G: 0.009515 Loss_D_real: -0.002816 Loss_D_fake 0.021179
[611/5000][350/535][62865] Loss_D: -0.021859 Loss_G: 0.040180 Loss_D_real: -0.021096 Loss_D_fake 0.000763
[611/5000][355/535][62866] Loss_D: -0.024602 Loss_G: 0.001310 Loss_D_real: -0.011453 Loss_D_fake 0.013149
[611/5000][360/535][62867] Loss_D: -0.022925 Loss_G: 0.015529 Loss_D_real: -0.023104 Loss_D_fake -0.000179
[611/5000][365/535][62868] Loss_D: -0.025369 Loss_G: 0.028914 Loss_D_real: -0.021182 Loss_D_fake 0.004187
[611/5000][370/535][62869] Loss_D: -0.025550 Loss_G: 0.016539 Loss_D_real: -0.014374 Loss_D_fake 0.011176
[611/5000][375/535][62870] Loss_D: -0.023792 Loss_G: 0.016017 Loss_D_real: -0.018438 Loss_D_fake 0.005354
[611/5000][380/535][62871] Loss_D: -0.025550 Loss_G: 0.016039 Loss_D_real: -0.014425 Loss_D_fake 0.011126
[611/5000][385/535][62872] Loss_D: -0.025483 Loss_G: 0.011129 Loss_D_real: -0.015068 Loss_D_fake 0.010415
[611/5000][390/535][62873] Loss_D: -0.025462 Loss_G: 0.014464 Loss_D_real: -0.020321 Loss_D_fake 0.005142
[611/5000][395/535][62874] Loss_D: -0.024111 Loss_G: 0.017504 Loss_D_real: -0.016397 Loss_D_fake 0.007714
[611/5000][400/535][62875] Loss_D: -0.025312 Loss_G: 0.006358 Loss_D_real: -0.015032 Loss_D_fake 0.010280
[611/5000][405/535][62876] Loss_D: -0.025827 Loss_G: 0.010272 Loss_D_real: -0.016884 Loss_D_fake 0.008943
[611/5000][410/535][62877] Loss_D: -0.023102 Loss_G: 0.009673 Loss_D_real: -0.007634 Loss_D_fake 0.015468
[611/5000][415/535][62878] Loss_D: -0.025259 Loss_G: 0.034261 Loss_D_real: -0.029696 Loss_D_fake -0.004438
[611/5000][420/535][62879] Loss_D: -0.024888 Loss_G: 0.041398 Loss_D_real: -0.026709 Loss_D_fake -0.001820
[611/5000][425/535][62880] Loss_D: -0.023973 Loss_G: -0.005844 Loss_D_real: 0.007632 Loss_D_fake 0.031605
[611/5000][430/535][62881] Loss_D: -0.023716 Loss_G: 0.032654 Loss_D_real: -0.023736 Loss_D_fake -0.000020
[611/5000][435/535][62882] Loss_D: -0.024639 Loss_G: 0.028135 Loss_D_real: -0.026045 Loss_D_fake -0.001406
[611/5000][440/535][62883] Loss_D: -0.024488 Loss_G: 0.012097 Loss_D_real: -0.011182 Loss_D_fake 0.013306
[611/5000][445/535][62884] Loss_D: -0.025151 Loss_G: 0.002380 Loss_D_real: -0.007171 Loss_D_fake 0.017981
[611/5000][450/535][62885] Loss_D: -0.024912 Loss_G: 0.033496 Loss_D_real: -0.016730 Loss_D_fake 0.008182
[611/5000][455/535][62886] Loss_D: -0.025286 Loss_G: 0.023962 Loss_D_real: -0.017754 Loss_D_fake 0.007531
[611/5000][460/535][62887] Loss_D: -0.024973 Loss_G: 0.008556 Loss_D_real: -0.004388 Loss_D_fake 0.020585
[611/5000][465/535][62888] Loss_D: -0.025414 Loss_G: 0.016337 Loss_D_real: -0.015667 Loss_D_fake 0.009747
[611/5000][470/535][62889] Loss_D: -0.024924 Loss_G: 0.029916 Loss_D_real: -0.024114 Loss_D_fake 0.000810
[611/5000][475/535][62890] Loss_D: -0.023421 Loss_G: 0.016071 Loss_D_real: -0.007200 Loss_D_fake 0.016220
[611/5000][480/535][62891] Loss_D: -0.025535 Loss_G: 0.012958 Loss_D_real: -0.010099 Loss_D_fake 0.015435
[611/5000][485/535][62892] Loss_D: -0.024188 Loss_G: 0.021567 Loss_D_real: -0.013878 Loss_D_fake 0.010310
[611/5000][490/535][62893] Loss_D: -0.024982 Loss_G: -0.006554 Loss_D_real: -0.000179 Loss_D_fake 0.024803
[611/5000][495/535][62894] Loss_D: -0.023423 Loss_G: 0.025170 Loss_D_real: -0.024188 Loss_D_fake -0.000766
[611/5000][500/535][62895] Loss_D: -0.024337 Loss_G: -0.003640 Loss_D_real: -0.002377 Loss_D_fake 0.021960
[611/5000][505/535][62896] Loss_D: -0.024025 Loss_G: 0.019691 Loss_D_real: -0.010961 Loss_D_fake 0.013064
[611/5000][510/535][62897] Loss_D: -0.024090 Loss_G: 0.030680 Loss_D_real: -0.015477 Loss_D_fake 0.008613
[611/5000][515/535][62898] Loss_D: -0.025356 Loss_G: 0.006652 Loss_D_real: -0.012775 Loss_D_fake 0.012580
[611/5000][520/535][62899] Loss_D: -0.024892 Loss_G: 0.003760 Loss_D_real: -0.001414 Loss_D_fake 0.023478
[611/5000][525/535][62900] Loss_D: -0.023245 Loss_G: 0.037051 Loss_D_real: -0.025734 Loss_D_fake -0.002490
[611/5000][530/535][62901] Loss_D: -0.025095 Loss_G: 0.010550 Loss_D_real: -0.003240 Loss_D_fake 0.021856
[611/5000][535/535][62902] Loss_D: -0.026485 Loss_G: 0.015038 Loss_D_real: -0.017309 Loss_D_fake 0.009176
[612/5000][5/535][62903] Loss_D: -0.025618 Loss_G: 0.002541 Loss_D_real: -0.005642 Loss_D_fake 0.019976
[612/5000][10/535][62904] Loss_D: -0.026988 Loss_G: 0.025567 Loss_D_real: -0.023916 Loss_D_fake 0.003072
[612/5000][15/535][62905] Loss_D: -0.024790 Loss_G: -0.007031 Loss_D_real: 0.001613 Loss_D_fake 0.026402
[612/5000][20/535][62906] Loss_D: -0.025107 Loss_G: 0.012795 Loss_D_real: -0.017197 Loss_D_fake 0.007910
[612/5000][25/535][62907] Loss_D: -0.025326 Loss_G: 0.013820 Loss_D_real: -0.018770 Loss_D_fake 0.006555
[612/5000][30/535][62908] Loss_D: -0.025821 Loss_G: 0.003271 Loss_D_real: -0.007671 Loss_D_fake 0.018150
[612/5000][35/535][62909] Loss_D: -0.024991 Loss_G: 0.000989 Loss_D_real: -0.006064 Loss_D_fake 0.018927
[612/5000][40/535][62910] Loss_D: -0.024534 Loss_G: 0.007964 Loss_D_real: -0.013938 Loss_D_fake 0.010596
[612/5000][45/535][62911] Loss_D: -0.024807 Loss_G: 0.027641 Loss_D_real: -0.026641 Loss_D_fake -0.001834
[612/5000][50/535][62912] Loss_D: -0.025071 Loss_G: 0.012491 Loss_D_real: 0.001465 Loss_D_fake 0.026537
[612/5000][55/535][62913] Loss_D: -0.022978 Loss_G: 0.026946 Loss_D_real: -0.027181 Loss_D_fake -0.004203
[612/5000][60/535][62914] Loss_D: -0.024175 Loss_G: 0.002235 Loss_D_real: -0.005959 Loss_D_fake 0.018216
[612/5000][65/535][62915] Loss_D: -0.024681 Loss_G: 0.023095 Loss_D_real: -0.017632 Loss_D_fake 0.007049
[612/5000][70/535][62916] Loss_D: -0.025072 Loss_G: 0.000576 Loss_D_real: -0.005298 Loss_D_fake 0.019775
[612/5000][75/535][62917] Loss_D: -0.024520 Loss_G: 0.012010 Loss_D_real: -0.029228 Loss_D_fake -0.004708
[612/5000][80/535][62918] Loss_D: -0.024027 Loss_G: 0.012758 Loss_D_real: -0.015183 Loss_D_fake 0.008843
[612/5000][85/535][62919] Loss_D: -0.024294 Loss_G: -0.010058 Loss_D_real: 0.006876 Loss_D_fake 0.031169
[612/5000][90/535][62920] Loss_D: -0.023931 Loss_G: 0.014935 Loss_D_real: -0.016045 Loss_D_fake 0.007887
[612/5000][95/535][62921] Loss_D: -0.023483 Loss_G: 0.023130 Loss_D_real: -0.023372 Loss_D_fake 0.000110
[612/5000][100/535][62922] Loss_D: -0.027859 Loss_G: 0.015948 Loss_D_real: -0.004702 Loss_D_fake 0.023156
[612/5000][105/535][62923] Loss_D: -0.025153 Loss_G: 0.005925 Loss_D_real: -0.004259 Loss_D_fake 0.020894
[612/5000][110/535][62924] Loss_D: -0.025080 Loss_G: 0.031506 Loss_D_real: -0.030019 Loss_D_fake -0.004939
[612/5000][115/535][62925] Loss_D: -0.024739 Loss_G: -0.001106 Loss_D_real: -0.005415 Loss_D_fake 0.019324
[612/5000][120/535][62926] Loss_D: -0.024531 Loss_G: 0.021115 Loss_D_real: -0.015967 Loss_D_fake 0.008564
[612/5000][125/535][62927] Loss_D: -0.024310 Loss_G: 0.019037 Loss_D_real: -0.024404 Loss_D_fake -0.000093
[612/5000][130/535][62928] Loss_D: -0.024665 Loss_G: 0.017333 Loss_D_real: -0.025450 Loss_D_fake -0.000784
[612/5000][135/535][62929] Loss_D: -0.025353 Loss_G: 0.012344 Loss_D_real: -0.008454 Loss_D_fake 0.016899
[612/5000][140/535][62930] Loss_D: -0.024051 Loss_G: 0.001771 Loss_D_real: -0.009790 Loss_D_fake 0.014260
[612/5000][145/535][62931] Loss_D: -0.024456 Loss_G: 0.016649 Loss_D_real: -0.009462 Loss_D_fake 0.014995
[612/5000][150/535][62932] Loss_D: -0.024783 Loss_G: 0.029189 Loss_D_real: -0.030510 Loss_D_fake -0.005726
[612/5000][155/535][62933] Loss_D: -0.025578 Loss_G: 0.024754 Loss_D_real: -0.028729 Loss_D_fake -0.003150
[612/5000][160/535][62934] Loss_D: -0.025504 Loss_G: 0.019468 Loss_D_real: -0.027610 Loss_D_fake -0.002106
[612/5000][165/535][62935] Loss_D: -0.025193 Loss_G: 0.026519 Loss_D_real: -0.023762 Loss_D_fake 0.001430
[612/5000][170/535][62936] Loss_D: -0.024592 Loss_G: -0.001662 Loss_D_real: 0.000277 Loss_D_fake 0.024869
[612/5000][175/535][62937] Loss_D: -0.025123 Loss_G: 0.012264 Loss_D_real: -0.020576 Loss_D_fake 0.004547
[612/5000][180/535][62938] Loss_D: -0.024398 Loss_G: 0.011846 Loss_D_real: -0.011270 Loss_D_fake 0.013128
[612/5000][185/535][62939] Loss_D: -0.025047 Loss_G: 0.028975 Loss_D_real: -0.022460 Loss_D_fake 0.002588
[612/5000][190/535][62940] Loss_D: -0.025578 Loss_G: 0.006255 Loss_D_real: -0.003875 Loss_D_fake 0.021703
[612/5000][195/535][62941] Loss_D: -0.024162 Loss_G: 0.017593 Loss_D_real: -0.016125 Loss_D_fake 0.008037
[612/5000][200/535][62942] Loss_D: -0.024865 Loss_G: 0.018887 Loss_D_real: -0.034350 Loss_D_fake -0.009485
[612/5000][205/535][62943] Loss_D: -0.024895 Loss_G: -0.004885 Loss_D_real: -0.004197 Loss_D_fake 0.020698
[612/5000][210/535][62944] Loss_D: -0.021570 Loss_G: -0.012795 Loss_D_real: 0.008661 Loss_D_fake 0.030231
[612/5000][215/535][62945] Loss_D: -0.024438 Loss_G: 0.021098 Loss_D_real: -0.017234 Loss_D_fake 0.007205
[612/5000][220/535][62946] Loss_D: -0.025255 Loss_G: 0.029822 Loss_D_real: -0.020135 Loss_D_fake 0.005119
[612/5000][225/535][62947] Loss_D: -0.024611 Loss_G: 0.027127 Loss_D_real: -0.029867 Loss_D_fake -0.005256
[612/5000][230/535][62948] Loss_D: -0.024575 Loss_G: 0.004991 Loss_D_real: -0.009044 Loss_D_fake 0.015531
[612/5000][235/535][62949] Loss_D: -0.023825 Loss_G: 0.017651 Loss_D_real: -0.011959 Loss_D_fake 0.011866
[612/5000][240/535][62950] Loss_D: -0.024633 Loss_G: 0.001886 Loss_D_real: -0.008720 Loss_D_fake 0.015913
[612/5000][245/535][62951] Loss_D: -0.024511 Loss_G: 0.023611 Loss_D_real: -0.026061 Loss_D_fake -0.001550
[612/5000][250/535][62952] Loss_D: -0.025017 Loss_G: 0.002382 Loss_D_real: 0.001276 Loss_D_fake 0.026293
[612/5000][255/535][62953] Loss_D: -0.024345 Loss_G: 0.029680 Loss_D_real: -0.016655 Loss_D_fake 0.007690
[612/5000][260/535][62954] Loss_D: -0.024868 Loss_G: -0.002975 Loss_D_real: 0.001445 Loss_D_fake 0.026313
[612/5000][265/535][62955] Loss_D: -0.024729 Loss_G: -0.003026 Loss_D_real: -0.007904 Loss_D_fake 0.016825
[612/5000][270/535][62956] Loss_D: -0.023448 Loss_G: 0.016153 Loss_D_real: -0.012242 Loss_D_fake 0.011206
[612/5000][275/535][62957] Loss_D: -0.025541 Loss_G: 0.018708 Loss_D_real: -0.012481 Loss_D_fake 0.013060
[612/5000][280/535][62958] Loss_D: -0.026235 Loss_G: 0.007493 Loss_D_real: -0.017427 Loss_D_fake 0.008808
[612/5000][285/535][62959] Loss_D: -0.027442 Loss_G: 0.011963 Loss_D_real: -0.010043 Loss_D_fake 0.017399
[612/5000][290/535][62960] Loss_D: -0.025282 Loss_G: 0.023652 Loss_D_real: -0.022305 Loss_D_fake 0.002977
[612/5000][295/535][62961] Loss_D: -0.024820 Loss_G: 0.019329 Loss_D_real: -0.010309 Loss_D_fake 0.014511
[612/5000][300/535][62962] Loss_D: -0.026609 Loss_G: 0.021233 Loss_D_real: -0.015336 Loss_D_fake 0.011273
[612/5000][305/535][62963] Loss_D: -0.024575 Loss_G: 0.005769 Loss_D_real: -0.001585 Loss_D_fake 0.022990
[612/5000][310/535][62964] Loss_D: -0.024802 Loss_G: 0.022513 Loss_D_real: -0.017911 Loss_D_fake 0.006891
[612/5000][315/535][62965] Loss_D: -0.023787 Loss_G: 0.023621 Loss_D_real: -0.026992 Loss_D_fake -0.003205
[612/5000][320/535][62966] Loss_D: -0.025086 Loss_G: -0.000472 Loss_D_real: -0.007575 Loss_D_fake 0.017511
[612/5000][325/535][62967] Loss_D: -0.024548 Loss_G: 0.017074 Loss_D_real: -0.020541 Loss_D_fake 0.004007
[612/5000][330/535][62968] Loss_D: -0.023928 Loss_G: 0.028837 Loss_D_real: -0.013642 Loss_D_fake 0.010286
[612/5000][335/535][62969] Loss_D: -0.025077 Loss_G: 0.003691 Loss_D_real: 0.005484 Loss_D_fake 0.030560
[612/5000][340/535][62970] Loss_D: -0.024874 Loss_G: 0.002251 Loss_D_real: -0.012142 Loss_D_fake 0.012732
[612/5000][345/535][62971] Loss_D: -0.025605 Loss_G: 0.007860 Loss_D_real: -0.012086 Loss_D_fake 0.013519
[612/5000][350/535][62972] Loss_D: -0.025351 Loss_G: -0.009880 Loss_D_real: -0.001929 Loss_D_fake 0.023422
[612/5000][355/535][62973] Loss_D: -0.024689 Loss_G: 0.001192 Loss_D_real: -0.004614 Loss_D_fake 0.020075
[612/5000][360/535][62974] Loss_D: -0.025836 Loss_G: 0.004620 Loss_D_real: -0.003840 Loss_D_fake 0.021995
[612/5000][365/535][62975] Loss_D: -0.023607 Loss_G: 0.004774 Loss_D_real: -0.015822 Loss_D_fake 0.007786
[612/5000][370/535][62976] Loss_D: -0.024450 Loss_G: 0.010715 Loss_D_real: -0.012056 Loss_D_fake 0.012394
[612/5000][375/535][62977] Loss_D: -0.025014 Loss_G: -0.000658 Loss_D_real: -0.005211 Loss_D_fake 0.019803
[612/5000][380/535][62978] Loss_D: -0.024590 Loss_G: 0.005520 Loss_D_real: -0.010860 Loss_D_fake 0.013729
[612/5000][385/535][62979] Loss_D: -0.026180 Loss_G: 0.027415 Loss_D_real: -0.017464 Loss_D_fake 0.008716
[612/5000][390/535][62980] Loss_D: -0.024088 Loss_G: 0.011145 Loss_D_real: -0.010927 Loss_D_fake 0.013161
[612/5000][395/535][62981] Loss_D: -0.024335 Loss_G: 0.002436 Loss_D_real: -0.001676 Loss_D_fake 0.022659
[612/5000][400/535][62982] Loss_D: -0.023749 Loss_G: 0.012273 Loss_D_real: -0.023822 Loss_D_fake -0.000073
[612/5000][405/535][62983] Loss_D: -0.025333 Loss_G: 0.012981 Loss_D_real: -0.016364 Loss_D_fake 0.008969
[612/5000][410/535][62984] Loss_D: -0.024763 Loss_G: 0.025929 Loss_D_real: -0.019086 Loss_D_fake 0.005678
[612/5000][415/535][62985] Loss_D: -0.025131 Loss_G: 0.002869 Loss_D_real: -0.009749 Loss_D_fake 0.015382
[612/5000][420/535][62986] Loss_D: -0.026441 Loss_G: 0.013844 Loss_D_real: -0.017252 Loss_D_fake 0.009188
[612/5000][425/535][62987] Loss_D: -0.024717 Loss_G: 0.013442 Loss_D_real: -0.017339 Loss_D_fake 0.007378
[612/5000][430/535][62988] Loss_D: -0.024592 Loss_G: 0.033488 Loss_D_real: -0.033157 Loss_D_fake -0.008565
[612/5000][435/535][62989] Loss_D: -0.023190 Loss_G: -0.017422 Loss_D_real: 0.002075 Loss_D_fake 0.025265
[612/5000][440/535][62990] Loss_D: -0.024550 Loss_G: 0.022888 Loss_D_real: -0.017868 Loss_D_fake 0.006682
[612/5000][445/535][62991] Loss_D: -0.024141 Loss_G: 0.019843 Loss_D_real: -0.011543 Loss_D_fake 0.012598
[612/5000][450/535][62992] Loss_D: -0.026011 Loss_G: 0.023037 Loss_D_real: -0.009584 Loss_D_fake 0.016426
[612/5000][455/535][62993] Loss_D: -0.025677 Loss_G: 0.011371 Loss_D_real: -0.023646 Loss_D_fake 0.002031
[612/5000][460/535][62994] Loss_D: -0.024490 Loss_G: 0.014637 Loss_D_real: -0.010158 Loss_D_fake 0.014332
[612/5000][465/535][62995] Loss_D: -0.023740 Loss_G: 0.040170 Loss_D_real: -0.032237 Loss_D_fake -0.008497
[612/5000][470/535][62996] Loss_D: -0.025314 Loss_G: 0.019181 Loss_D_real: -0.012005 Loss_D_fake 0.013309
[612/5000][475/535][62997] Loss_D: -0.024617 Loss_G: 0.024176 Loss_D_real: -0.025828 Loss_D_fake -0.001211
[612/5000][480/535][62998] Loss_D: -0.025459 Loss_G: 0.009479 Loss_D_real: -0.006262 Loss_D_fake 0.019197
[612/5000][485/535][62999] Loss_D: -0.023865 Loss_G: -0.013151 Loss_D_real: 0.013980 Loss_D_fake 0.037845
[612/5000][490/535][63000] Loss_D: -0.023206 Loss_G: 0.023455 Loss_D_real: -0.022863 Loss_D_fake 0.000342
[612/5000][535/535][63001] Loss_D: -0.024930 Loss_G: 0.021180 Loss_D_real: -0.023122 Loss_D_fake 0.001809
[613/5000][5/535][63002] Loss_D: -0.026389 Loss_G: 0.005170 Loss_D_real: -0.006642 Loss_D_fake 0.019747
[613/5000][10/535][63003] Loss_D: -0.023260 Loss_G: 0.018150 Loss_D_real: -0.012517 Loss_D_fake 0.010744
[613/5000][15/535][63004] Loss_D: -0.024343 Loss_G: 0.019044 Loss_D_real: -0.023287 Loss_D_fake 0.001056
[613/5000][20/535][63005] Loss_D: -0.025419 Loss_G: 0.014989 Loss_D_real: -0.021677 Loss_D_fake 0.003742
[613/5000][25/535][63006] Loss_D: -0.025038 Loss_G: 0.015369 Loss_D_real: -0.007025 Loss_D_fake 0.018013
[613/5000][30/535][63007] Loss_D: -0.024605 Loss_G: -0.002508 Loss_D_real: -0.012421 Loss_D_fake 0.012183
[613/5000][35/535][63008] Loss_D: -0.025012 Loss_G: 0.020745 Loss_D_real: -0.017382 Loss_D_fake 0.007630
[613/5000][40/535][63009] Loss_D: -0.025841 Loss_G: 0.016769 Loss_D_real: -0.016902 Loss_D_fake 0.008939
[613/5000][45/535][63010] Loss_D: -0.026060 Loss_G: 0.018515 Loss_D_real: -0.009490 Loss_D_fake 0.016570
[613/5000][50/535][63011] Loss_D: -0.024515 Loss_G: 0.011680 Loss_D_real: -0.025088 Loss_D_fake -0.000573
[613/5000][55/535][63012] Loss_D: -0.024083 Loss_G: 0.018466 Loss_D_real: -0.020826 Loss_D_fake 0.003257
[613/5000][60/535][63013] Loss_D: -0.026036 Loss_G: -0.001765 Loss_D_real: -0.008095 Loss_D_fake 0.017941
[613/5000][65/535][63014] Loss_D: -0.024385 Loss_G: 0.028783 Loss_D_real: -0.026272 Loss_D_fake -0.001887
[613/5000][70/535][63015] Loss_D: -0.024892 Loss_G: 0.011710 Loss_D_real: -0.018519 Loss_D_fake 0.006373
[613/5000][75/535][63016] Loss_D: -0.025280 Loss_G: 0.003013 Loss_D_real: -0.018658 Loss_D_fake 0.006622
[613/5000][80/535][63017] Loss_D: -0.025550 Loss_G: 0.005042 Loss_D_real: -0.011278 Loss_D_fake 0.014272
[613/5000][85/535][63018] Loss_D: -0.023915 Loss_G: 0.024793 Loss_D_real: -0.024201 Loss_D_fake -0.000286
[613/5000][90/535][63019] Loss_D: -0.023821 Loss_G: -0.000169 Loss_D_real: -0.005320 Loss_D_fake 0.018502
[613/5000][95/535][63020] Loss_D: -0.024747 Loss_G: 0.017377 Loss_D_real: -0.019733 Loss_D_fake 0.005014
[613/5000][100/535][63021] Loss_D: -0.025744 Loss_G: 0.004259 Loss_D_real: -0.003558 Loss_D_fake 0.022186
[613/5000][105/535][63022] Loss_D: -0.024943 Loss_G: 0.002165 Loss_D_real: -0.000494 Loss_D_fake 0.024450
[613/5000][110/535][63023] Loss_D: -0.024814 Loss_G: 0.004998 Loss_D_real: -0.001893 Loss_D_fake 0.022921
[613/5000][115/535][63024] Loss_D: -0.025220 Loss_G: 0.034448 Loss_D_real: -0.022724 Loss_D_fake 0.002496
[613/5000][120/535][63025] Loss_D: -0.022922 Loss_G: 0.040887 Loss_D_real: -0.028016 Loss_D_fake -0.005094
[613/5000][125/535][63026] Loss_D: -0.025328 Loss_G: -0.002734 Loss_D_real: -0.017727 Loss_D_fake 0.007601
[613/5000][130/535][63027] Loss_D: -0.024208 Loss_G: 0.033616 Loss_D_real: -0.020818 Loss_D_fake 0.003391
[613/5000][135/535][63028] Loss_D: -0.024299 Loss_G: 0.005454 Loss_D_real: -0.014405 Loss_D_fake 0.009894
[613/5000][140/535][63029] Loss_D: -0.025148 Loss_G: 0.011900 Loss_D_real: -0.007107 Loss_D_fake 0.018041
[613/5000][145/535][63030] Loss_D: -0.023738 Loss_G: 0.027802 Loss_D_real: -0.024956 Loss_D_fake -0.001218
[613/5000][150/535][63031] Loss_D: -0.025891 Loss_G: 0.016597 Loss_D_real: -0.020926 Loss_D_fake 0.004965
[613/5000][155/535][63032] Loss_D: -0.024935 Loss_G: -0.006337 Loss_D_real: 0.002421 Loss_D_fake 0.027356
[613/5000][160/535][63033] Loss_D: -0.023185 Loss_G: 0.026878 Loss_D_real: -0.021262 Loss_D_fake 0.001923
[613/5000][165/535][63034] Loss_D: -0.024323 Loss_G: 0.032157 Loss_D_real: -0.034370 Loss_D_fake -0.010047
[613/5000][170/535][63035] Loss_D: -0.025346 Loss_G: 0.013077 Loss_D_real: -0.009826 Loss_D_fake 0.015520
[613/5000][175/535][63036] Loss_D: -0.023939 Loss_G: 0.023349 Loss_D_real: -0.022751 Loss_D_fake 0.001188
[613/5000][180/535][63037] Loss_D: -0.026271 Loss_G: 0.010901 Loss_D_real: -0.016521 Loss_D_fake 0.009750
[613/5000][185/535][63038] Loss_D: -0.025981 Loss_G: 0.021565 Loss_D_real: -0.023283 Loss_D_fake 0.002698
[613/5000][190/535][63039] Loss_D: -0.024494 Loss_G: 0.019809 Loss_D_real: -0.019024 Loss_D_fake 0.005470
[613/5000][195/535][63040] Loss_D: -0.024172 Loss_G: 0.037591 Loss_D_real: -0.028707 Loss_D_fake -0.004535
[613/5000][200/535][63041] Loss_D: -0.024073 Loss_G: 0.001153 Loss_D_real: -0.000582 Loss_D_fake 0.023491
[613/5000][205/535][63042] Loss_D: -0.023031 Loss_G: 0.013145 Loss_D_real: -0.014183 Loss_D_fake 0.008848
[613/5000][210/535][63043] Loss_D: -0.025075 Loss_G: 0.016905 Loss_D_real: -0.017183 Loss_D_fake 0.007892
[613/5000][215/535][63044] Loss_D: -0.025049 Loss_G: 0.014203 Loss_D_real: -0.021268 Loss_D_fake 0.003782
[613/5000][220/535][63045] Loss_D: -0.024534 Loss_G: 0.003349 Loss_D_real: -0.016688 Loss_D_fake 0.007846
[613/5000][225/535][63046] Loss_D: -0.024525 Loss_G: 0.020963 Loss_D_real: -0.018509 Loss_D_fake 0.006016
[613/5000][230/535][63047] Loss_D: -0.023756 Loss_G: 0.021759 Loss_D_real: -0.015269 Loss_D_fake 0.008487
[613/5000][235/535][63048] Loss_D: -0.025291 Loss_G: 0.005094 Loss_D_real: -0.013721 Loss_D_fake 0.011570
[613/5000][240/535][63049] Loss_D: -0.022963 Loss_G: 0.020344 Loss_D_real: -0.025541 Loss_D_fake -0.002577
[613/5000][245/535][63050] Loss_D: -0.025074 Loss_G: 0.017617 Loss_D_real: -0.018024 Loss_D_fake 0.007051
[613/5000][250/535][63051] Loss_D: -0.023606 Loss_G: 0.023203 Loss_D_real: -0.012550 Loss_D_fake 0.011056
[613/5000][255/535][63052] Loss_D: -0.025246 Loss_G: 0.001183 Loss_D_real: -0.002225 Loss_D_fake 0.023021
[613/5000][260/535][63053] Loss_D: -0.024675 Loss_G: 0.021224 Loss_D_real: -0.017717 Loss_D_fake 0.006958
[613/5000][265/535][63054] Loss_D: -0.024351 Loss_G: -0.000352 Loss_D_real: -0.006735 Loss_D_fake 0.017616
[613/5000][270/535][63055] Loss_D: -0.024844 Loss_G: 0.018239 Loss_D_real: -0.017845 Loss_D_fake 0.006999
[613/5000][275/535][63056] Loss_D: -0.025466 Loss_G: -0.005298 Loss_D_real: -0.004074 Loss_D_fake 0.021391
[613/5000][280/535][63057] Loss_D: -0.025418 Loss_G: 0.020203 Loss_D_real: -0.024059 Loss_D_fake 0.001358
[613/5000][285/535][63058] Loss_D: -0.023972 Loss_G: 0.016943 Loss_D_real: -0.022640 Loss_D_fake 0.001332
[613/5000][290/535][63059] Loss_D: -0.024341 Loss_G: 0.018272 Loss_D_real: -0.020747 Loss_D_fake 0.003594
[613/5000][295/535][63060] Loss_D: -0.025208 Loss_G: -0.001947 Loss_D_real: -0.008079 Loss_D_fake 0.017129
[613/5000][300/535][63061] Loss_D: -0.025675 Loss_G: 0.011739 Loss_D_real: -0.014030 Loss_D_fake 0.011645
[613/5000][305/535][63062] Loss_D: -0.024483 Loss_G: 0.008844 Loss_D_real: -0.020636 Loss_D_fake 0.003847
[613/5000][310/535][63063] Loss_D: -0.024690 Loss_G: 0.016175 Loss_D_real: 0.000226 Loss_D_fake 0.024916
[613/5000][315/535][63064] Loss_D: -0.025567 Loss_G: 0.031555 Loss_D_real: -0.024874 Loss_D_fake 0.000693
[613/5000][320/535][63065] Loss_D: -0.025312 Loss_G: 0.015638 Loss_D_real: -0.016965 Loss_D_fake 0.008347
[613/5000][325/535][63066] Loss_D: -0.026006 Loss_G: 0.011929 Loss_D_real: -0.019283 Loss_D_fake 0.006724
[613/5000][330/535][63067] Loss_D: -0.026949 Loss_G: 0.009659 Loss_D_real: -0.011320 Loss_D_fake 0.015629
[613/5000][335/535][63068] Loss_D: -0.024068 Loss_G: 0.036122 Loss_D_real: -0.031740 Loss_D_fake -0.007671
[613/5000][340/535][63069] Loss_D: -0.025418 Loss_G: 0.016208 Loss_D_real: -0.011053 Loss_D_fake 0.014365
[613/5000][345/535][63070] Loss_D: -0.023723 Loss_G: 0.008031 Loss_D_real: -0.010447 Loss_D_fake 0.013276
[613/5000][350/535][63071] Loss_D: -0.023544 Loss_G: 0.017083 Loss_D_real: -0.020463 Loss_D_fake 0.003081
[613/5000][355/535][63072] Loss_D: -0.024272 Loss_G: 0.004263 Loss_D_real: -0.015004 Loss_D_fake 0.009268
[613/5000][360/535][63073] Loss_D: -0.024272 Loss_G: 0.008900 Loss_D_real: -0.004078 Loss_D_fake 0.020195
[613/5000][365/535][63074] Loss_D: -0.024475 Loss_G: 0.025321 Loss_D_real: -0.029672 Loss_D_fake -0.005197
[613/5000][370/535][63075] Loss_D: -0.023677 Loss_G: 0.034314 Loss_D_real: -0.032491 Loss_D_fake -0.008814
[613/5000][375/535][63076] Loss_D: -0.023479 Loss_G: -0.010355 Loss_D_real: 0.010871 Loss_D_fake 0.034349
[613/5000][380/535][63077] Loss_D: -0.024951 Loss_G: 0.009002 Loss_D_real: -0.019951 Loss_D_fake 0.005000
[613/5000][385/535][63078] Loss_D: -0.024772 Loss_G: 0.008797 Loss_D_real: -0.000335 Loss_D_fake 0.024437
[613/5000][390/535][63079] Loss_D: -0.023987 Loss_G: 0.009427 Loss_D_real: -0.008068 Loss_D_fake 0.015919
[613/5000][395/535][63080] Loss_D: -0.024893 Loss_G: 0.019703 Loss_D_real: -0.019614 Loss_D_fake 0.005279
[613/5000][400/535][63081] Loss_D: -0.026279 Loss_G: 0.001016 Loss_D_real: -0.002727 Loss_D_fake 0.023552
[613/5000][405/535][63082] Loss_D: -0.025346 Loss_G: 0.027104 Loss_D_real: -0.025568 Loss_D_fake -0.000222
[613/5000][410/535][63083] Loss_D: -0.026175 Loss_G: 0.021563 Loss_D_real: -0.016096 Loss_D_fake 0.010079
[613/5000][415/535][63084] Loss_D: -0.025342 Loss_G: -0.000256 Loss_D_real: -0.010639 Loss_D_fake 0.014703
[613/5000][420/535][63085] Loss_D: -0.025860 Loss_G: 0.026571 Loss_D_real: -0.019084 Loss_D_fake 0.006775
[613/5000][425/535][63086] Loss_D: -0.024205 Loss_G: 0.006678 Loss_D_real: -0.016405 Loss_D_fake 0.007800
[613/5000][430/535][63087] Loss_D: -0.023697 Loss_G: 0.037810 Loss_D_real: -0.025006 Loss_D_fake -0.001309
[613/5000][435/535][63088] Loss_D: -0.024740 Loss_G: 0.007103 Loss_D_real: -0.008216 Loss_D_fake 0.016524
[613/5000][440/535][63089] Loss_D: -0.024091 Loss_G: 0.004669 Loss_D_real: -0.009289 Loss_D_fake 0.014802
[613/5000][445/535][63090] Loss_D: -0.023999 Loss_G: 0.026206 Loss_D_real: -0.026945 Loss_D_fake -0.002947
[613/5000][450/535][63091] Loss_D: -0.025681 Loss_G: 0.017175 Loss_D_real: -0.031594 Loss_D_fake -0.005913
[613/5000][455/535][63092] Loss_D: -0.025097 Loss_G: 0.014648 Loss_D_real: -0.017248 Loss_D_fake 0.007849
[613/5000][460/535][63093] Loss_D: -0.025078 Loss_G: -0.002152 Loss_D_real: -0.000322 Loss_D_fake 0.024755
[613/5000][465/535][63094] Loss_D: -0.023610 Loss_G: -0.008727 Loss_D_real: 0.004761 Loss_D_fake 0.028371
[613/5000][470/535][63095] Loss_D: -0.023840 Loss_G: 0.008912 Loss_D_real: -0.001429 Loss_D_fake 0.022411
[613/5000][475/535][63096] Loss_D: -0.024879 Loss_G: -0.007671 Loss_D_real: 0.000974 Loss_D_fake 0.025853
[613/5000][480/535][63097] Loss_D: -0.024476 Loss_G: 0.018950 Loss_D_real: -0.008102 Loss_D_fake 0.016373
[613/5000][485/535][63098] Loss_D: -0.024553 Loss_G: 0.006652 Loss_D_real: -0.014561 Loss_D_fake 0.009991
[613/5000][490/535][63099] Loss_D: -0.024268 Loss_G: 0.008070 Loss_D_real: -0.009183 Loss_D_fake 0.015084
[613/5000][495/535][63100] Loss_D: -0.026500 Loss_G: 0.000062 Loss_D_real: -0.004052 Loss_D_fake 0.022447
[613/5000][500/535][63101] Loss_D: -0.022600 Loss_G: 0.043209 Loss_D_real: -0.025233 Loss_D_fake -0.002633
[613/5000][505/535][63102] Loss_D: -0.024773 Loss_G: 0.017414 Loss_D_real: -0.017150 Loss_D_fake 0.007623
[613/5000][510/535][63103] Loss_D: -0.025598 Loss_G: 0.026910 Loss_D_real: -0.020810 Loss_D_fake 0.004788
[613/5000][515/535][63104] Loss_D: -0.024456 Loss_G: 0.017474 Loss_D_real: -0.015008 Loss_D_fake 0.009448
[613/5000][520/535][63105] Loss_D: -0.023416 Loss_G: 0.036696 Loss_D_real: -0.038923 Loss_D_fake -0.015507
[613/5000][525/535][63106] Loss_D: -0.024793 Loss_G: 0.003495 Loss_D_real: 0.000985 Loss_D_fake 0.025778
[613/5000][530/535][63107] Loss_D: -0.024417 Loss_G: 0.005871 Loss_D_real: -0.009826 Loss_D_fake 0.014591
[613/5000][535/535][63108] Loss_D: -0.026221 Loss_G: 0.021815 Loss_D_real: -0.017389 Loss_D_fake 0.008832
[614/5000][5/535][63109] Loss_D: -0.024687 Loss_G: 0.016454 Loss_D_real: -0.022622 Loss_D_fake 0.002065
[614/5000][10/535][63110] Loss_D: -0.024331 Loss_G: 0.014522 Loss_D_real: -0.012338 Loss_D_fake 0.011994
[614/5000][15/535][63111] Loss_D: -0.025881 Loss_G: 0.020615 Loss_D_real: -0.016119 Loss_D_fake 0.009762
[614/5000][20/535][63112] Loss_D: -0.023842 Loss_G: 0.018103 Loss_D_real: -0.008810 Loss_D_fake 0.015033
[614/5000][25/535][63113] Loss_D: -0.025781 Loss_G: 0.010978 Loss_D_real: -0.010460 Loss_D_fake 0.015321
[614/5000][30/535][63114] Loss_D: -0.025107 Loss_G: 0.015203 Loss_D_real: -0.025750 Loss_D_fake -0.000642
[614/5000][35/535][63115] Loss_D: -0.026702 Loss_G: 0.005354 Loss_D_real: -0.020017 Loss_D_fake 0.006685
[614/5000][40/535][63116] Loss_D: -0.026543 Loss_G: 0.003541 Loss_D_real: -0.008303 Loss_D_fake 0.018240
[614/5000][45/535][63117] Loss_D: -0.025327 Loss_G: 0.007528 Loss_D_real: -0.005449 Loss_D_fake 0.019877
[614/5000][50/535][63118] Loss_D: -0.025103 Loss_G: 0.033209 Loss_D_real: -0.029152 Loss_D_fake -0.004048
[614/5000][55/535][63119] Loss_D: -0.024245 Loss_G: 0.026476 Loss_D_real: -0.030645 Loss_D_fake -0.006399
[614/5000][60/535][63120] Loss_D: -0.026266 Loss_G: 0.016342 Loss_D_real: -0.010171 Loss_D_fake 0.016095
[614/5000][65/535][63121] Loss_D: -0.023748 Loss_G: 0.015696 Loss_D_real: -0.014818 Loss_D_fake 0.008930
[614/5000][70/535][63122] Loss_D: -0.023860 Loss_G: 0.018577 Loss_D_real: -0.025781 Loss_D_fake -0.001921
[614/5000][75/535][63123] Loss_D: -0.026272 Loss_G: 0.020600 Loss_D_real: -0.013438 Loss_D_fake 0.012833
[614/5000][80/535][63124] Loss_D: -0.023903 Loss_G: 0.009915 Loss_D_real: -0.001080 Loss_D_fake 0.022822
[614/5000][85/535][63125] Loss_D: -0.025908 Loss_G: 0.010252 Loss_D_real: -0.015299 Loss_D_fake 0.010609
[614/5000][90/535][63126] Loss_D: -0.025168 Loss_G: 0.000327 Loss_D_real: -0.005865 Loss_D_fake 0.019303
[614/5000][95/535][63127] Loss_D: -0.023943 Loss_G: 0.022838 Loss_D_real: -0.030874 Loss_D_fake -0.006931
[614/5000][100/535][63128] Loss_D: -0.025612 Loss_G: -0.002881 Loss_D_real: 0.000033 Loss_D_fake 0.025646
[614/5000][105/535][63129] Loss_D: -0.023811 Loss_G: 0.015653 Loss_D_real: -0.020186 Loss_D_fake 0.003625
[614/5000][110/535][63130] Loss_D: -0.023881 Loss_G: 0.028361 Loss_D_real: -0.022899 Loss_D_fake 0.000982
[614/5000][115/535][63131] Loss_D: -0.024713 Loss_G: 0.007218 Loss_D_real: -0.000037 Loss_D_fake 0.024676
[614/5000][120/535][63132] Loss_D: -0.024627 Loss_G: 0.023427 Loss_D_real: -0.030812 Loss_D_fake -0.006185
[614/5000][125/535][63133] Loss_D: -0.023822 Loss_G: 0.002894 Loss_D_real: -0.006423 Loss_D_fake 0.017399
[614/5000][130/535][63134] Loss_D: -0.023947 Loss_G: 0.002638 Loss_D_real: -0.012451 Loss_D_fake 0.011496
[614/5000][135/535][63135] Loss_D: -0.024356 Loss_G: -0.000335 Loss_D_real: -0.008983 Loss_D_fake 0.015373
[614/5000][140/535][63136] Loss_D: -0.024115 Loss_G: 0.002645 Loss_D_real: 0.000155 Loss_D_fake 0.024270
[614/5000][145/535][63137] Loss_D: -0.023305 Loss_G: 0.029326 Loss_D_real: -0.010187 Loss_D_fake 0.013118
[614/5000][150/535][63138] Loss_D: -0.025137 Loss_G: 0.004004 Loss_D_real: 0.004221 Loss_D_fake 0.029358
[614/5000][155/535][63139] Loss_D: -0.025069 Loss_G: 0.015073 Loss_D_real: -0.011709 Loss_D_fake 0.013360
[614/5000][160/535][63140] Loss_D: -0.025940 Loss_G: 0.020739 Loss_D_real: -0.012731 Loss_D_fake 0.013209
[614/5000][165/535][63141] Loss_D: -0.023956 Loss_G: 0.007555 Loss_D_real: -0.010333 Loss_D_fake 0.013623
[614/5000][170/535][63142] Loss_D: -0.025803 Loss_G: 0.012699 Loss_D_real: -0.011109 Loss_D_fake 0.014694
[614/5000][175/535][63143] Loss_D: -0.026095 Loss_G: 0.001029 Loss_D_real: -0.010153 Loss_D_fake 0.015943
[614/5000][180/535][63144] Loss_D: -0.025594 Loss_G: 0.031015 Loss_D_real: -0.021238 Loss_D_fake 0.004356
[614/5000][185/535][63145] Loss_D: -0.026154 Loss_G: 0.013531 Loss_D_real: -0.015037 Loss_D_fake 0.011117
[614/5000][190/535][63146] Loss_D: -0.025916 Loss_G: 0.032049 Loss_D_real: -0.019120 Loss_D_fake 0.006796
[614/5000][195/535][63147] Loss_D: -0.025037 Loss_G: 0.013697 Loss_D_real: -0.011338 Loss_D_fake 0.013699
[614/5000][200/535][63148] Loss_D: -0.025960 Loss_G: 0.007940 Loss_D_real: -0.012019 Loss_D_fake 0.013941
[614/5000][205/535][63149] Loss_D: -0.024963 Loss_G: 0.037337 Loss_D_real: -0.022628 Loss_D_fake 0.002336
[614/5000][210/535][63150] Loss_D: -0.024594 Loss_G: -0.005984 Loss_D_real: 0.001382 Loss_D_fake 0.025975
[614/5000][215/535][63151] Loss_D: -0.024580 Loss_G: 0.027808 Loss_D_real: -0.023426 Loss_D_fake 0.001153
[614/5000][220/535][63152] Loss_D: -0.025477 Loss_G: 0.009490 Loss_D_real: -0.009331 Loss_D_fake 0.016146
[614/5000][225/535][63153] Loss_D: -0.025256 Loss_G: 0.020573 Loss_D_real: -0.014611 Loss_D_fake 0.010645
[614/5000][230/535][63154] Loss_D: -0.025158 Loss_G: 0.013588 Loss_D_real: -0.011305 Loss_D_fake 0.013853
[614/5000][235/535][63155] Loss_D: -0.026894 Loss_G: 0.021393 Loss_D_real: -0.018143 Loss_D_fake 0.008750
[614/5000][240/535][63156] Loss_D: -0.024748 Loss_G: -0.007215 Loss_D_real: 0.006024 Loss_D_fake 0.030772
[614/5000][245/535][63157] Loss_D: -0.024110 Loss_G: 0.012799 Loss_D_real: -0.013338 Loss_D_fake 0.010772
[614/5000][250/535][63158] Loss_D: -0.024531 Loss_G: 0.004820 Loss_D_real: -0.005871 Loss_D_fake 0.018660
[614/5000][255/535][63159] Loss_D: -0.024745 Loss_G: -0.009784 Loss_D_real: -0.005838 Loss_D_fake 0.018907
[614/5000][260/535][63160] Loss_D: -0.024632 Loss_G: 0.024470 Loss_D_real: -0.020886 Loss_D_fake 0.003747
[614/5000][265/535][63161] Loss_D: -0.024885 Loss_G: 0.000091 Loss_D_real: -0.003686 Loss_D_fake 0.021200
[614/5000][270/535][63162] Loss_D: -0.023972 Loss_G: 0.025161 Loss_D_real: -0.025205 Loss_D_fake -0.001233
[614/5000][275/535][63163] Loss_D: -0.025651 Loss_G: 0.013660 Loss_D_real: -0.014361 Loss_D_fake 0.011290
[614/5000][280/535][63164] Loss_D: -0.023407 Loss_G: 0.013545 Loss_D_real: -0.019264 Loss_D_fake 0.004144
[614/5000][285/535][63165] Loss_D: -0.023883 Loss_G: 0.024012 Loss_D_real: -0.017485 Loss_D_fake 0.006398
[614/5000][290/535][63166] Loss_D: -0.024817 Loss_G: 0.016835 Loss_D_real: -0.018155 Loss_D_fake 0.006661
[614/5000][295/535][63167] Loss_D: -0.024941 Loss_G: 0.024539 Loss_D_real: -0.018313 Loss_D_fake 0.006628
[614/5000][300/535][63168] Loss_D: -0.026510 Loss_G: 0.025391 Loss_D_real: -0.014214 Loss_D_fake 0.012296
[614/5000][305/535][63169] Loss_D: -0.024713 Loss_G: 0.033275 Loss_D_real: -0.026618 Loss_D_fake -0.001904
[614/5000][310/535][63170] Loss_D: -0.025270 Loss_G: 0.000815 Loss_D_real: 0.002331 Loss_D_fake 0.027600
[614/5000][315/535][63171] Loss_D: -0.024089 Loss_G: 0.025447 Loss_D_real: -0.021348 Loss_D_fake 0.002741
[614/5000][320/535][63172] Loss_D: -0.023838 Loss_G: 0.026882 Loss_D_real: -0.021371 Loss_D_fake 0.002467
[614/5000][325/535][63173] Loss_D: -0.025554 Loss_G: 0.024052 Loss_D_real: -0.024354 Loss_D_fake 0.001200
[614/5000][330/535][63174] Loss_D: -0.022397 Loss_G: 0.000827 Loss_D_real: 0.003537 Loss_D_fake 0.025934
[614/5000][335/535][63175] Loss_D: -0.025638 Loss_G: 0.013077 Loss_D_real: -0.009616 Loss_D_fake 0.016022
[614/5000][340/535][63176] Loss_D: -0.024090 Loss_G: 0.033302 Loss_D_real: -0.035509 Loss_D_fake -0.011418
[614/5000][345/535][63177] Loss_D: -0.025052 Loss_G: 0.023930 Loss_D_real: -0.027079 Loss_D_fake -0.002027
[614/5000][350/535][63178] Loss_D: -0.024013 Loss_G: 0.018007 Loss_D_real: -0.023721 Loss_D_fake 0.000292
[614/5000][355/535][63179] Loss_D: -0.025237 Loss_G: 0.006768 Loss_D_real: -0.007474 Loss_D_fake 0.017763
[614/5000][360/535][63180] Loss_D: -0.025083 Loss_G: 0.004290 Loss_D_real: -0.004081 Loss_D_fake 0.021002
[614/5000][365/535][63181] Loss_D: -0.023895 Loss_G: 0.020939 Loss_D_real: -0.027640 Loss_D_fake -0.003745
[614/5000][370/535][63182] Loss_D: -0.024192 Loss_G: 0.023904 Loss_D_real: -0.026648 Loss_D_fake -0.002456
[614/5000][375/535][63183] Loss_D: -0.024981 Loss_G: -0.001305 Loss_D_real: -0.002590 Loss_D_fake 0.022390
[614/5000][380/535][63184] Loss_D: -0.024950 Loss_G: 0.025612 Loss_D_real: -0.022920 Loss_D_fake 0.002030
[614/5000][385/535][63185] Loss_D: -0.023658 Loss_G: 0.009284 Loss_D_real: -0.003481 Loss_D_fake 0.020177
[614/5000][390/535][63186] Loss_D: -0.024444 Loss_G: 0.011484 Loss_D_real: -0.014957 Loss_D_fake 0.009486
[614/5000][395/535][63187] Loss_D: -0.025377 Loss_G: 0.031543 Loss_D_real: -0.016811 Loss_D_fake 0.008566
[614/5000][400/535][63188] Loss_D: -0.025237 Loss_G: 0.002744 Loss_D_real: -0.015833 Loss_D_fake 0.009404
[614/5000][405/535][63189] Loss_D: -0.024254 Loss_G: 0.031935 Loss_D_real: -0.035860 Loss_D_fake -0.011606
[614/5000][410/535][63190] Loss_D: -0.024877 Loss_G: -0.002348 Loss_D_real: -0.006777 Loss_D_fake 0.018101
[614/5000][415/535][63191] Loss_D: -0.023611 Loss_G: 0.025985 Loss_D_real: -0.028149 Loss_D_fake -0.004538
[614/5000][420/535][63192] Loss_D: -0.024402 Loss_G: 0.002909 Loss_D_real: -0.003174 Loss_D_fake 0.021228
[614/5000][425/535][63193] Loss_D: -0.024783 Loss_G: 0.021321 Loss_D_real: -0.016824 Loss_D_fake 0.007959
[614/5000][430/535][63194] Loss_D: -0.024299 Loss_G: 0.026077 Loss_D_real: -0.019284 Loss_D_fake 0.005015
[614/5000][435/535][63195] Loss_D: -0.023932 Loss_G: 0.008086 Loss_D_real: -0.004338 Loss_D_fake 0.019595
[614/5000][440/535][63196] Loss_D: -0.025212 Loss_G: 0.030839 Loss_D_real: -0.023580 Loss_D_fake 0.001632
[614/5000][445/535][63197] Loss_D: -0.025371 Loss_G: 0.018406 Loss_D_real: -0.030880 Loss_D_fake -0.005508
[614/5000][450/535][63198] Loss_D: -0.025974 Loss_G: 0.001339 Loss_D_real: -0.008870 Loss_D_fake 0.017104
[614/5000][455/535][63199] Loss_D: -0.025412 Loss_G: 0.015822 Loss_D_real: -0.013625 Loss_D_fake 0.011787
[614/5000][460/535][63200] Loss_D: -0.025338 Loss_G: 0.024382 Loss_D_real: -0.022093 Loss_D_fake 0.003245
[614/5000][465/535][63201] Loss_D: -0.025624 Loss_G: 0.022207 Loss_D_real: -0.016330 Loss_D_fake 0.009294
[614/5000][470/535][63202] Loss_D: -0.025623 Loss_G: 0.001094 Loss_D_real: -0.014589 Loss_D_fake 0.011034
[614/5000][475/535][63203] Loss_D: -0.024877 Loss_G: 0.025185 Loss_D_real: -0.025278 Loss_D_fake -0.000401
[614/5000][480/535][63204] Loss_D: -0.025923 Loss_G: 0.027070 Loss_D_real: -0.023585 Loss_D_fake 0.002338
[614/5000][485/535][63205] Loss_D: -0.024985 Loss_G: -0.002364 Loss_D_real: 0.000144 Loss_D_fake 0.025129
[614/5000][490/535][63206] Loss_D: -0.024928 Loss_G: 0.017172 Loss_D_real: -0.020539 Loss_D_fake 0.004389
[614/5000][495/535][63207] Loss_D: -0.025663 Loss_G: 0.027438 Loss_D_real: -0.026834 Loss_D_fake -0.001170
[614/5000][500/535][63208] Loss_D: -0.024678 Loss_G: -0.001865 Loss_D_real: -0.011568 Loss_D_fake 0.013110
[614/5000][505/535][63209] Loss_D: -0.025604 Loss_G: 0.011332 Loss_D_real: -0.010974 Loss_D_fake 0.014630
[614/5000][510/535][63210] Loss_D: -0.026412 Loss_G: 0.034020 Loss_D_real: -0.025286 Loss_D_fake 0.001126
[614/5000][515/535][63211] Loss_D: -0.023743 Loss_G: 0.001229 Loss_D_real: -0.005298 Loss_D_fake 0.018446
[614/5000][520/535][63212] Loss_D: -0.022905 Loss_G: 0.030211 Loss_D_real: -0.018914 Loss_D_fake 0.003990
[614/5000][525/535][63213] Loss_D: -0.024992 Loss_G: 0.006905 Loss_D_real: -0.010934 Loss_D_fake 0.014058
[614/5000][530/535][63214] Loss_D: -0.023658 Loss_G: 0.029835 Loss_D_real: -0.024684 Loss_D_fake -0.001027
[614/5000][535/535][63215] Loss_D: -0.025610 Loss_G: 0.003425 Loss_D_real: -0.007132 Loss_D_fake 0.018477
[615/5000][5/535][63216] Loss_D: -0.025235 Loss_G: 0.028282 Loss_D_real: -0.024124 Loss_D_fake 0.001111
[615/5000][10/535][63217] Loss_D: -0.023547 Loss_G: 0.021153 Loss_D_real: -0.025738 Loss_D_fake -0.002191
[615/5000][15/535][63218] Loss_D: -0.025375 Loss_G: 0.006960 Loss_D_real: -0.008911 Loss_D_fake 0.016463
[615/5000][20/535][63219] Loss_D: -0.024793 Loss_G: 0.015868 Loss_D_real: -0.023803 Loss_D_fake 0.000990
[615/5000][25/535][63220] Loss_D: -0.024912 Loss_G: 0.022301 Loss_D_real: -0.024485 Loss_D_fake 0.000426
[615/5000][30/535][63221] Loss_D: -0.023569 Loss_G: 0.033559 Loss_D_real: -0.035780 Loss_D_fake -0.012211
[615/5000][35/535][63222] Loss_D: -0.024673 Loss_G: 0.003006 Loss_D_real: -0.019568 Loss_D_fake 0.005105
[615/5000][40/535][63223] Loss_D: -0.023702 Loss_G: 0.005821 Loss_D_real: -0.010714 Loss_D_fake 0.012988
[615/5000][45/535][63224] Loss_D: -0.024344 Loss_G: -0.003120 Loss_D_real: 0.001045 Loss_D_fake 0.025388
[615/5000][50/535][63225] Loss_D: -0.022399 Loss_G: 0.022520 Loss_D_real: -0.025105 Loss_D_fake -0.002707
[615/5000][55/535][63226] Loss_D: -0.023992 Loss_G: 0.020829 Loss_D_real: -0.014422 Loss_D_fake 0.009571
[615/5000][60/535][63227] Loss_D: -0.023814 Loss_G: 0.010710 Loss_D_real: -0.013399 Loss_D_fake 0.010416
[615/5000][65/535][63228] Loss_D: -0.025125 Loss_G: 0.027437 Loss_D_real: -0.025282 Loss_D_fake -0.000158
[615/5000][70/535][63229] Loss_D: -0.025511 Loss_G: 0.008945 Loss_D_real: -0.009973 Loss_D_fake 0.015538
[615/5000][75/535][63230] Loss_D: -0.026608 Loss_G: 0.017918 Loss_D_real: -0.016977 Loss_D_fake 0.009630
[615/5000][80/535][63231] Loss_D: -0.024997 Loss_G: -0.002798 Loss_D_real: -0.001003 Loss_D_fake 0.023994
[615/5000][85/535][63232] Loss_D: -0.025002 Loss_G: 0.026786 Loss_D_real: -0.025507 Loss_D_fake -0.000505
[615/5000][90/535][63233] Loss_D: -0.025349 Loss_G: 0.018336 Loss_D_real: -0.017694 Loss_D_fake 0.007655
[615/5000][95/535][63234] Loss_D: -0.024997 Loss_G: 0.026312 Loss_D_real: -0.024172 Loss_D_fake 0.000825
[615/5000][100/535][63235] Loss_D: -0.024900 Loss_G: -0.000659 Loss_D_real: -0.005459 Loss_D_fake 0.019440
[615/5000][105/535][63236] Loss_D: -0.024988 Loss_G: 0.025368 Loss_D_real: -0.026680 Loss_D_fake -0.001691
[615/5000][110/535][63237] Loss_D: -0.023147 Loss_G: -0.016976 Loss_D_real: 0.007414 Loss_D_fake 0.030560
[615/5000][115/535][63238] Loss_D: -0.024180 Loss_G: 0.004532 Loss_D_real: -0.004819 Loss_D_fake 0.019361
[615/5000][120/535][63239] Loss_D: -0.024100 Loss_G: 0.013019 Loss_D_real: -0.014710 Loss_D_fake 0.009390
[615/5000][125/535][63240] Loss_D: -0.023725 Loss_G: 0.020735 Loss_D_real: -0.007390 Loss_D_fake 0.016335
[615/5000][130/535][63241] Loss_D: -0.024983 Loss_G: 0.005608 Loss_D_real: -0.002019 Loss_D_fake 0.022964
[615/5000][135/535][63242] Loss_D: -0.023155 Loss_G: -0.011079 Loss_D_real: -0.012214 Loss_D_fake 0.010940
[615/5000][140/535][63243] Loss_D: -0.022966 Loss_G: 0.035546 Loss_D_real: -0.028684 Loss_D_fake -0.005718
[615/5000][145/535][63244] Loss_D: -0.023261 Loss_G: -0.013625 Loss_D_real: 0.008444 Loss_D_fake 0.031705
[615/5000][150/535][63245] Loss_D: -0.025286 Loss_G: 0.022141 Loss_D_real: -0.017719 Loss_D_fake 0.007568
[615/5000][155/535][63246] Loss_D: -0.024006 Loss_G: 0.021104 Loss_D_real: -0.014835 Loss_D_fake 0.009171
[615/5000][160/535][63247] Loss_D: -0.024113 Loss_G: 0.032939 Loss_D_real: -0.026964 Loss_D_fake -0.002851
[615/5000][165/535][63248] Loss_D: -0.025055 Loss_G: 0.020855 Loss_D_real: -0.021421 Loss_D_fake 0.003634
[615/5000][170/535][63249] Loss_D: -0.025986 Loss_G: 0.023512 Loss_D_real: -0.023469 Loss_D_fake 0.002517
[615/5000][175/535][63250] Loss_D: -0.025749 Loss_G: 0.020854 Loss_D_real: -0.018571 Loss_D_fake 0.007178
[615/5000][180/535][63251] Loss_D: -0.027086 Loss_G: 0.004425 Loss_D_real: -0.006673 Loss_D_fake 0.020413
[615/5000][185/535][63252] Loss_D: -0.024287 Loss_G: 0.011086 Loss_D_real: -0.014043 Loss_D_fake 0.010244
[615/5000][190/535][63253] Loss_D: -0.025035 Loss_G: 0.003598 Loss_D_real: -0.013502 Loss_D_fake 0.011533
[615/5000][195/535][63254] Loss_D: -0.025991 Loss_G: 0.030750 Loss_D_real: -0.018163 Loss_D_fake 0.007828
[615/5000][200/535][63255] Loss_D: -0.025013 Loss_G: 0.013351 Loss_D_real: -0.014003 Loss_D_fake 0.011010
[615/5000][205/535][63256] Loss_D: -0.024063 Loss_G: 0.010887 Loss_D_real: -0.012050 Loss_D_fake 0.012013
[615/5000][210/535][63257] Loss_D: -0.023875 Loss_G: 0.012620 Loss_D_real: -0.007991 Loss_D_fake 0.015883
[615/5000][215/535][63258] Loss_D: -0.024990 Loss_G: 0.005107 Loss_D_real: -0.016686 Loss_D_fake 0.008304
[615/5000][220/535][63259] Loss_D: -0.025847 Loss_G: 0.025061 Loss_D_real: -0.012571 Loss_D_fake 0.013277
[615/5000][225/535][63260] Loss_D: -0.025774 Loss_G: 0.011554 Loss_D_real: -0.014715 Loss_D_fake 0.011059
[615/5000][230/535][63261] Loss_D: -0.023777 Loss_G: 0.029285 Loss_D_real: -0.023085 Loss_D_fake 0.000692
[615/5000][235/535][63262] Loss_D: -0.024909 Loss_G: -0.002165 Loss_D_real: -0.005960 Loss_D_fake 0.018950
[615/5000][240/535][63263] Loss_D: -0.025680 Loss_G: 0.011657 Loss_D_real: -0.007884 Loss_D_fake 0.017795
[615/5000][245/535][63264] Loss_D: -0.024711 Loss_G: 0.015163 Loss_D_real: -0.027317 Loss_D_fake -0.002606
[615/5000][250/535][63265] Loss_D: -0.023685 Loss_G: -0.004805 Loss_D_real: 0.012224 Loss_D_fake 0.035909
[615/5000][255/535][63266] Loss_D: -0.023983 Loss_G: 0.005893 Loss_D_real: -0.012918 Loss_D_fake 0.011065
[615/5000][260/535][63267] Loss_D: -0.024835 Loss_G: 0.018337 Loss_D_real: -0.012409 Loss_D_fake 0.012426
[615/5000][265/535][63268] Loss_D: -0.025344 Loss_G: 0.027664 Loss_D_real: -0.014279 Loss_D_fake 0.011065
[615/5000][270/535][63269] Loss_D: -0.025373 Loss_G: 0.013132 Loss_D_real: -0.020440 Loss_D_fake 0.004934
[615/5000][275/535][63270] Loss_D: -0.025834 Loss_G: 0.015839 Loss_D_real: -0.021982 Loss_D_fake 0.003852
[615/5000][280/535][63271] Loss_D: -0.025880 Loss_G: 0.021026 Loss_D_real: -0.015795 Loss_D_fake 0.010084
[615/5000][285/535][63272] Loss_D: -0.025994 Loss_G: 0.024907 Loss_D_real: -0.015776 Loss_D_fake 0.010218
[615/5000][290/535][63273] Loss_D: -0.024331 Loss_G: -0.008948 Loss_D_real: -0.012140 Loss_D_fake 0.012191
[615/5000][295/535][63274] Loss_D: -0.024105 Loss_G: 0.013110 Loss_D_real: -0.021720 Loss_D_fake 0.002385
[615/5000][300/535][63275] Loss_D: -0.024136 Loss_G: 0.027725 Loss_D_real: -0.021271 Loss_D_fake 0.002866
[615/5000][305/535][63276] Loss_D: -0.025790 Loss_G: 0.030982 Loss_D_real: -0.028394 Loss_D_fake -0.002605
[615/5000][310/535][63277] Loss_D: -0.025162 Loss_G: 0.030922 Loss_D_real: -0.022443 Loss_D_fake 0.002720
[615/5000][315/535][63278] Loss_D: -0.025754 Loss_G: 0.024103 Loss_D_real: -0.024023 Loss_D_fake 0.001731
[615/5000][320/535][63279] Loss_D: -0.025186 Loss_G: 0.005356 Loss_D_real: -0.010204 Loss_D_fake 0.014982
[615/5000][325/535][63280] Loss_D: -0.024407 Loss_G: 0.027936 Loss_D_real: -0.027668 Loss_D_fake -0.003261
[615/5000][330/535][63281] Loss_D: -0.023978 Loss_G: -0.008775 Loss_D_real: 0.000044 Loss_D_fake 0.024022
[615/5000][335/535][63282] Loss_D: -0.023753 Loss_G: 0.025592 Loss_D_real: -0.020476 Loss_D_fake 0.003276
[615/5000][340/535][63283] Loss_D: -0.024514 Loss_G: -0.003860 Loss_D_real: 0.000807 Loss_D_fake 0.025322
[615/5000][345/535][63284] Loss_D: -0.023336 Loss_G: 0.017705 Loss_D_real: -0.010769 Loss_D_fake 0.012567
[615/5000][350/535][63285] Loss_D: -0.023689 Loss_G: 0.011311 Loss_D_real: -0.005699 Loss_D_fake 0.017990
[615/5000][355/535][63286] Loss_D: -0.025382 Loss_G: 0.000019 Loss_D_real: 0.001570 Loss_D_fake 0.026952
[615/5000][360/535][63287] Loss_D: -0.023443 Loss_G: 0.007697 Loss_D_real: -0.006288 Loss_D_fake 0.017155
[615/5000][365/535][63288] Loss_D: -0.022690 Loss_G: -0.013767 Loss_D_real: 0.004225 Loss_D_fake 0.026915
[615/5000][370/535][63289] Loss_D: -0.025135 Loss_G: 0.013321 Loss_D_real: -0.013314 Loss_D_fake 0.011821
[615/5000][375/535][63290] Loss_D: -0.023194 Loss_G: -0.010828 Loss_D_real: 0.006004 Loss_D_fake 0.029198
[615/5000][380/535][63291] Loss_D: -0.024371 Loss_G: 0.001735 Loss_D_real: -0.014781 Loss_D_fake 0.009591
[615/5000][385/535][63292] Loss_D: -0.025087 Loss_G: 0.001882 Loss_D_real: -0.006229 Loss_D_fake 0.018858
[615/5000][390/535][63293] Loss_D: -0.023797 Loss_G: 0.026948 Loss_D_real: -0.029491 Loss_D_fake -0.005694
[615/5000][395/535][63294] Loss_D: -0.024274 Loss_G: 0.019000 Loss_D_real: -0.022808 Loss_D_fake 0.001466
[615/5000][400/535][63295] Loss_D: -0.026712 Loss_G: 0.015003 Loss_D_real: -0.015829 Loss_D_fake 0.010883
[615/5000][405/535][63296] Loss_D: -0.024492 Loss_G: -0.000126 Loss_D_real: 0.006987 Loss_D_fake 0.031479
[615/5000][410/535][63297] Loss_D: -0.024087 Loss_G: -0.000967 Loss_D_real: -0.005919 Loss_D_fake 0.018168
[615/5000][415/535][63298] Loss_D: -0.023918 Loss_G: 0.012639 Loss_D_real: -0.016269 Loss_D_fake 0.007648
[615/5000][420/535][63299] Loss_D: -0.025725 Loss_G: 0.023473 Loss_D_real: -0.018418 Loss_D_fake 0.007307
[615/5000][425/535][63300] Loss_D: -0.025130 Loss_G: 0.014083 Loss_D_real: -0.020111 Loss_D_fake 0.005019
[615/5000][430/535][63301] Loss_D: -0.025925 Loss_G: 0.025396 Loss_D_real: -0.021834 Loss_D_fake 0.004091
[615/5000][435/535][63302] Loss_D: -0.024330 Loss_G: -0.019087 Loss_D_real: 0.000895 Loss_D_fake 0.025226
[615/5000][440/535][63303] Loss_D: -0.023130 Loss_G: 0.027352 Loss_D_real: -0.021823 Loss_D_fake 0.001307
[615/5000][445/535][63304] Loss_D: -0.024101 Loss_G: 0.016892 Loss_D_real: -0.023035 Loss_D_fake 0.001066
[615/5000][450/535][63305] Loss_D: -0.026234 Loss_G: 0.003944 Loss_D_real: 0.000470 Loss_D_fake 0.026705
[615/5000][455/535][63306] Loss_D: -0.025207 Loss_G: 0.019233 Loss_D_real: -0.028716 Loss_D_fake -0.003509
[615/5000][460/535][63307] Loss_D: -0.024003 Loss_G: 0.026865 Loss_D_real: -0.020736 Loss_D_fake 0.003268
[615/5000][465/535][63308] Loss_D: -0.026493 Loss_G: -0.004250 Loss_D_real: -0.006316 Loss_D_fake 0.020177
[615/5000][470/535][63309] Loss_D: -0.023212 Loss_G: 0.028236 Loss_D_real: -0.025432 Loss_D_fake -0.002220
[615/5000][475/535][63310] Loss_D: -0.025606 Loss_G: -0.000058 Loss_D_real: -0.012042 Loss_D_fake 0.013564
[615/5000][480/535][63311] Loss_D: -0.026305 Loss_G: 0.035027 Loss_D_real: -0.023289 Loss_D_fake 0.003015
[615/5000][485/535][63312] Loss_D: -0.025128 Loss_G: -0.005530 Loss_D_real: -0.001317 Loss_D_fake 0.023811
[615/5000][490/535][63313] Loss_D: -0.025007 Loss_G: 0.011786 Loss_D_real: -0.011551 Loss_D_fake 0.013456
[615/5000][495/535][63314] Loss_D: -0.023974 Loss_G: 0.030635 Loss_D_real: -0.026933 Loss_D_fake -0.002959
[615/5000][500/535][63315] Loss_D: -0.024512 Loss_G: 0.031601 Loss_D_real: -0.019123 Loss_D_fake 0.005389
[615/5000][505/535][63316] Loss_D: -0.025144 Loss_G: 0.002279 Loss_D_real: -0.006941 Loss_D_fake 0.018203
[615/5000][510/535][63317] Loss_D: -0.024098 Loss_G: 0.026882 Loss_D_real: -0.020834 Loss_D_fake 0.003264
[615/5000][515/535][63318] Loss_D: -0.024693 Loss_G: -0.005706 Loss_D_real: -0.003746 Loss_D_fake 0.020947
[615/5000][520/535][63319] Loss_D: -0.023419 Loss_G: 0.034185 Loss_D_real: -0.016892 Loss_D_fake 0.006527
[615/5000][525/535][63320] Loss_D: -0.024572 Loss_G: 0.006785 Loss_D_real: -0.021260 Loss_D_fake 0.003312
[615/5000][530/535][63321] Loss_D: -0.024730 Loss_G: 0.003073 Loss_D_real: -0.002826 Loss_D_fake 0.021904
[615/5000][535/535][63322] Loss_D: -0.023861 Loss_G: 0.027260 Loss_D_real: -0.023518 Loss_D_fake 0.000343
[616/5000][5/535][63323] Loss_D: -0.024575 Loss_G: 0.011698 Loss_D_real: -0.016485 Loss_D_fake 0.008089
[616/5000][10/535][63324] Loss_D: -0.024651 Loss_G: 0.012364 Loss_D_real: -0.019045 Loss_D_fake 0.005606
[616/5000][15/535][63325] Loss_D: -0.025589 Loss_G: -0.001265 Loss_D_real: -0.014372 Loss_D_fake 0.011216
[616/5000][20/535][63326] Loss_D: -0.025622 Loss_G: 0.008260 Loss_D_real: -0.011049 Loss_D_fake 0.014573
[616/5000][25/535][63327] Loss_D: -0.024387 Loss_G: 0.017160 Loss_D_real: -0.013891 Loss_D_fake 0.010496
[616/5000][30/535][63328] Loss_D: -0.024363 Loss_G: -0.008300 Loss_D_real: -0.009761 Loss_D_fake 0.014602
[616/5000][35/535][63329] Loss_D: -0.024984 Loss_G: 0.013959 Loss_D_real: -0.002374 Loss_D_fake 0.022609
[616/5000][40/535][63330] Loss_D: -0.022948 Loss_G: 0.035502 Loss_D_real: -0.027015 Loss_D_fake -0.004067
[616/5000][45/535][63331] Loss_D: -0.024426 Loss_G: 0.014781 Loss_D_real: -0.010304 Loss_D_fake 0.014122
[616/5000][50/535][63332] Loss_D: -0.024871 Loss_G: 0.005674 Loss_D_real: -0.009673 Loss_D_fake 0.015198
[616/5000][55/535][63333] Loss_D: -0.025006 Loss_G: 0.018975 Loss_D_real: -0.011913 Loss_D_fake 0.013094
[616/5000][60/535][63334] Loss_D: -0.025582 Loss_G: 0.013559 Loss_D_real: -0.018376 Loss_D_fake 0.007207
[616/5000][65/535][63335] Loss_D: -0.025484 Loss_G: 0.000511 Loss_D_real: -0.007527 Loss_D_fake 0.017957
[616/5000][70/535][63336] Loss_D: -0.024613 Loss_G: 0.010367 Loss_D_real: -0.014919 Loss_D_fake 0.009694
[616/5000][75/535][63337] Loss_D: -0.026247 Loss_G: 0.021211 Loss_D_real: -0.017177 Loss_D_fake 0.009070
[616/5000][80/535][63338] Loss_D: -0.024584 Loss_G: 0.040295 Loss_D_real: -0.038285 Loss_D_fake -0.013701
[616/5000][85/535][63339] Loss_D: -0.024903 Loss_G: 0.004857 Loss_D_real: -0.006038 Loss_D_fake 0.018864
[616/5000][90/535][63340] Loss_D: -0.025004 Loss_G: 0.003284 Loss_D_real: -0.008816 Loss_D_fake 0.016188
[616/5000][95/535][63341] Loss_D: -0.024028 Loss_G: 0.016948 Loss_D_real: -0.011364 Loss_D_fake 0.012664
[616/5000][100/535][63342] Loss_D: -0.025907 Loss_G: 0.018134 Loss_D_real: -0.016392 Loss_D_fake 0.009515
[616/5000][105/535][63343] Loss_D: -0.022913 Loss_G: -0.010405 Loss_D_real: 0.012922 Loss_D_fake 0.035834
[616/5000][110/535][63344] Loss_D: -0.024020 Loss_G: 0.025734 Loss_D_real: -0.020972 Loss_D_fake 0.003048
[616/5000][115/535][63345] Loss_D: -0.022455 Loss_G: 0.032853 Loss_D_real: -0.032759 Loss_D_fake -0.010304
[616/5000][120/535][63346] Loss_D: -0.023801 Loss_G: 0.005253 Loss_D_real: -0.012220 Loss_D_fake 0.011581
[616/5000][125/535][63347] Loss_D: -0.022415 Loss_G: 0.034284 Loss_D_real: -0.029216 Loss_D_fake -0.006802
[616/5000][130/535][63348] Loss_D: -0.024182 Loss_G: -0.004903 Loss_D_real: 0.004365 Loss_D_fake 0.028547
[616/5000][135/535][63349] Loss_D: -0.024386 Loss_G: 0.033762 Loss_D_real: -0.027876 Loss_D_fake -0.003490
[616/5000][140/535][63350] Loss_D: -0.025131 Loss_G: 0.020733 Loss_D_real: -0.018866 Loss_D_fake 0.006265
[616/5000][145/535][63351] Loss_D: -0.025709 Loss_G: 0.005372 Loss_D_real: -0.012548 Loss_D_fake 0.013160
[616/5000][150/535][63352] Loss_D: -0.025079 Loss_G: -0.000047 Loss_D_real: -0.015028 Loss_D_fake 0.010051
[616/5000][155/535][63353] Loss_D: -0.025243 Loss_G: 0.028629 Loss_D_real: -0.026406 Loss_D_fake -0.001164
[616/5000][160/535][63354] Loss_D: -0.025616 Loss_G: 0.016811 Loss_D_real: -0.015539 Loss_D_fake 0.010077
[616/5000][165/535][63355] Loss_D: -0.025628 Loss_G: 0.024969 Loss_D_real: -0.016412 Loss_D_fake 0.009217
[616/5000][170/535][63356] Loss_D: -0.026889 Loss_G: 0.009517 Loss_D_real: -0.015455 Loss_D_fake 0.011435
[616/5000][175/535][63357] Loss_D: -0.025304 Loss_G: 0.000827 Loss_D_real: -0.007337 Loss_D_fake 0.017967
[616/5000][180/535][63358] Loss_D: -0.025364 Loss_G: 0.002478 Loss_D_real: -0.002253 Loss_D_fake 0.023111
[616/5000][185/535][63359] Loss_D: -0.024212 Loss_G: 0.031907 Loss_D_real: -0.024703 Loss_D_fake -0.000491
[616/5000][190/535][63360] Loss_D: -0.024826 Loss_G: 0.005080 Loss_D_real: -0.006297 Loss_D_fake 0.018528
[616/5000][195/535][63361] Loss_D: -0.024059 Loss_G: 0.033794 Loss_D_real: -0.028414 Loss_D_fake -0.004354
[616/5000][200/535][63362] Loss_D: -0.024533 Loss_G: -0.013834 Loss_D_real: 0.004270 Loss_D_fake 0.028803
[616/5000][205/535][63363] Loss_D: -0.023662 Loss_G: 0.020670 Loss_D_real: -0.027424 Loss_D_fake -0.003761
[616/5000][210/535][63364] Loss_D: -0.023679 Loss_G: 0.022698 Loss_D_real: -0.029424 Loss_D_fake -0.005745
[616/5000][215/535][63365] Loss_D: -0.023117 Loss_G: 0.024734 Loss_D_real: -0.023737 Loss_D_fake -0.000620
[616/5000][220/535][63366] Loss_D: -0.025651 Loss_G: 0.019504 Loss_D_real: -0.018239 Loss_D_fake 0.007412
[616/5000][225/535][63367] Loss_D: -0.025466 Loss_G: -0.004690 Loss_D_real: -0.003338 Loss_D_fake 0.022128
[616/5000][230/535][63368] Loss_D: -0.023713 Loss_G: 0.023776 Loss_D_real: -0.022657 Loss_D_fake 0.001055
[616/5000][235/535][63369] Loss_D: -0.024298 Loss_G: 0.003022 Loss_D_real: -0.005177 Loss_D_fake 0.019121
[616/5000][240/535][63370] Loss_D: -0.023375 Loss_G: 0.023049 Loss_D_real: -0.023210 Loss_D_fake 0.000165
[616/5000][245/535][63371] Loss_D: -0.024799 Loss_G: 0.021360 Loss_D_real: -0.019412 Loss_D_fake 0.005387
[616/5000][250/535][63372] Loss_D: -0.026766 Loss_G: 0.010306 Loss_D_real: -0.011609 Loss_D_fake 0.015156
[616/5000][255/535][63373] Loss_D: -0.024814 Loss_G: 0.030011 Loss_D_real: -0.025484 Loss_D_fake -0.000670
[616/5000][260/535][63374] Loss_D: -0.025609 Loss_G: -0.008636 Loss_D_real: -0.008200 Loss_D_fake 0.017409
[616/5000][265/535][63375] Loss_D: -0.024185 Loss_G: 0.015495 Loss_D_real: -0.005689 Loss_D_fake 0.018496
[616/5000][270/535][63376] Loss_D: -0.025318 Loss_G: 0.022709 Loss_D_real: -0.025841 Loss_D_fake -0.000523
[616/5000][275/535][63377] Loss_D: -0.024644 Loss_G: 0.016794 Loss_D_real: -0.019945 Loss_D_fake 0.004698
[616/5000][280/535][63378] Loss_D: -0.024986 Loss_G: 0.003651 Loss_D_real: -0.006855 Loss_D_fake 0.018131
[616/5000][285/535][63379] Loss_D: -0.024120 Loss_G: -0.003775 Loss_D_real: -0.009119 Loss_D_fake 0.015001
[616/5000][290/535][63380] Loss_D: -0.025237 Loss_G: 0.012251 Loss_D_real: -0.012730 Loss_D_fake 0.012507
[616/5000][295/535][63381] Loss_D: -0.023452 Loss_G: 0.038067 Loss_D_real: -0.032954 Loss_D_fake -0.009501
[616/5000][300/535][63382] Loss_D: -0.024297 Loss_G: 0.021142 Loss_D_real: -0.015622 Loss_D_fake 0.008675
[616/5000][305/535][63383] Loss_D: -0.025037 Loss_G: 0.008185 Loss_D_real: -0.011584 Loss_D_fake 0.013453
[616/5000][310/535][63384] Loss_D: -0.024459 Loss_G: 0.031827 Loss_D_real: -0.019283 Loss_D_fake 0.005176
[616/5000][315/535][63385] Loss_D: -0.024536 Loss_G: 0.030985 Loss_D_real: -0.033651 Loss_D_fake -0.009115
[616/5000][320/535][63386] Loss_D: -0.025465 Loss_G: 0.000051 Loss_D_real: -0.004274 Loss_D_fake 0.021191
[616/5000][325/535][63387] Loss_D: -0.024210 Loss_G: 0.020617 Loss_D_real: -0.014715 Loss_D_fake 0.009495
[616/5000][330/535][63388] Loss_D: -0.024710 Loss_G: 0.005292 Loss_D_real: -0.009810 Loss_D_fake 0.014900
[616/5000][335/535][63389] Loss_D: -0.023923 Loss_G: 0.028105 Loss_D_real: -0.019683 Loss_D_fake 0.004240
[616/5000][340/535][63390] Loss_D: -0.025367 Loss_G: 0.008213 Loss_D_real: -0.002808 Loss_D_fake 0.022558
[616/5000][345/535][63391] Loss_D: -0.025425 Loss_G: 0.022591 Loss_D_real: -0.020134 Loss_D_fake 0.005290
[616/5000][350/535][63392] Loss_D: -0.023298 Loss_G: 0.031844 Loss_D_real: -0.026541 Loss_D_fake -0.003243
[616/5000][355/535][63393] Loss_D: -0.025350 Loss_G: 0.023182 Loss_D_real: -0.013299 Loss_D_fake 0.012051
[616/5000][360/535][63394] Loss_D: -0.025540 Loss_G: 0.029441 Loss_D_real: -0.020436 Loss_D_fake 0.005104
[616/5000][365/535][63395] Loss_D: -0.024306 Loss_G: 0.005008 Loss_D_real: -0.003414 Loss_D_fake 0.020891
[616/5000][370/535][63396] Loss_D: -0.025846 Loss_G: 0.012372 Loss_D_real: -0.025941 Loss_D_fake -0.000095
[616/5000][375/535][63397] Loss_D: -0.025248 Loss_G: 0.004484 Loss_D_real: -0.011017 Loss_D_fake 0.014231
[616/5000][380/535][63398] Loss_D: -0.025129 Loss_G: 0.012533 Loss_D_real: -0.009428 Loss_D_fake 0.015701
[616/5000][385/535][63399] Loss_D: -0.025528 Loss_G: 0.020522 Loss_D_real: -0.022485 Loss_D_fake 0.003043
[616/5000][390/535][63400] Loss_D: -0.025889 Loss_G: 0.026059 Loss_D_real: -0.028721 Loss_D_fake -0.002832
[616/5000][395/535][63401] Loss_D: -0.024811 Loss_G: -0.009568 Loss_D_real: 0.000347 Loss_D_fake 0.025158
[616/5000][400/535][63402] Loss_D: -0.023242 Loss_G: 0.031302 Loss_D_real: -0.023410 Loss_D_fake -0.000168
[616/5000][405/535][63403] Loss_D: -0.025229 Loss_G: 0.025993 Loss_D_real: -0.026168 Loss_D_fake -0.000939
[616/5000][410/535][63404] Loss_D: -0.024919 Loss_G: 0.009706 Loss_D_real: -0.012818 Loss_D_fake 0.012101
[616/5000][415/535][63405] Loss_D: -0.024400 Loss_G: -0.005570 Loss_D_real: -0.003537 Loss_D_fake 0.020863
[616/5000][420/535][63406] Loss_D: -0.025302 Loss_G: 0.011166 Loss_D_real: -0.014807 Loss_D_fake 0.010496
[616/5000][425/535][63407] Loss_D: -0.024518 Loss_G: 0.023723 Loss_D_real: -0.015512 Loss_D_fake 0.009006
[616/5000][430/535][63408] Loss_D: -0.025414 Loss_G: -0.007579 Loss_D_real: -0.002226 Loss_D_fake 0.023188
[616/5000][435/535][63409] Loss_D: -0.025026 Loss_G: 0.021326 Loss_D_real: -0.009159 Loss_D_fake 0.015867
[616/5000][440/535][63410] Loss_D: -0.024408 Loss_G: 0.029208 Loss_D_real: -0.023419 Loss_D_fake 0.000989
[616/5000][445/535][63411] Loss_D: -0.024202 Loss_G: 0.029230 Loss_D_real: -0.027244 Loss_D_fake -0.003042
[616/5000][450/535][63412] Loss_D: -0.024593 Loss_G: 0.038581 Loss_D_real: -0.033498 Loss_D_fake -0.008905
[616/5000][455/535][63413] Loss_D: -0.024824 Loss_G: -0.006729 Loss_D_real: -0.003195 Loss_D_fake 0.021630
[616/5000][460/535][63414] Loss_D: -0.022869 Loss_G: 0.015798 Loss_D_real: -0.014772 Loss_D_fake 0.008097
[616/5000][465/535][63415] Loss_D: -0.023901 Loss_G: 0.008444 Loss_D_real: -0.009936 Loss_D_fake 0.013964
[616/5000][470/535][63416] Loss_D: -0.025581 Loss_G: 0.002630 Loss_D_real: -0.018080 Loss_D_fake 0.007501
[616/5000][475/535][63417] Loss_D: -0.023715 Loss_G: 0.024395 Loss_D_real: -0.023093 Loss_D_fake 0.000622
[616/5000][480/535][63418] Loss_D: -0.024005 Loss_G: 0.011167 Loss_D_real: -0.016579 Loss_D_fake 0.007425
[616/5000][485/535][63419] Loss_D: -0.025691 Loss_G: 0.017647 Loss_D_real: -0.017049 Loss_D_fake 0.008643
[616/5000][490/535][63420] Loss_D: -0.024194 Loss_G: -0.006991 Loss_D_real: -0.002642 Loss_D_fake 0.021551
[616/5000][495/535][63421] Loss_D: -0.024219 Loss_G: 0.027824 Loss_D_real: -0.027554 Loss_D_fake -0.003336
[616/5000][500/535][63422] Loss_D: -0.024337 Loss_G: 0.013417 Loss_D_real: -0.010551 Loss_D_fake 0.013786
[616/5000][505/535][63423] Loss_D: -0.024380 Loss_G: -0.003734 Loss_D_real: 0.002265 Loss_D_fake 0.026645
[616/5000][510/535][63424] Loss_D: -0.024220 Loss_G: 0.020672 Loss_D_real: -0.021006 Loss_D_fake 0.003215
[616/5000][515/535][63425] Loss_D: -0.025701 Loss_G: -0.002014 Loss_D_real: 0.000882 Loss_D_fake 0.026582
[616/5000][520/535][63426] Loss_D: -0.024778 Loss_G: 0.031110 Loss_D_real: -0.022651 Loss_D_fake 0.002128
[616/5000][525/535][63427] Loss_D: -0.024970 Loss_G: -0.005925 Loss_D_real: -0.000455 Loss_D_fake 0.024515
[616/5000][530/535][63428] Loss_D: -0.022600 Loss_G: 0.038549 Loss_D_real: -0.037971 Loss_D_fake -0.015370
[616/5000][535/535][63429] Loss_D: -0.025509 Loss_G: 0.029785 Loss_D_real: -0.013531 Loss_D_fake 0.011978
[617/5000][5/535][63430] Loss_D: -0.025446 Loss_G: 0.012317 Loss_D_real: -0.014813 Loss_D_fake 0.010633
[617/5000][10/535][63431] Loss_D: -0.024304 Loss_G: 0.018326 Loss_D_real: -0.013885 Loss_D_fake 0.010419
[617/5000][15/535][63432] Loss_D: -0.025036 Loss_G: 0.022491 Loss_D_real: -0.027000 Loss_D_fake -0.001963
[617/5000][20/535][63433] Loss_D: -0.026181 Loss_G: 0.022481 Loss_D_real: -0.021104 Loss_D_fake 0.005077
[617/5000][25/535][63434] Loss_D: -0.024436 Loss_G: 0.017871 Loss_D_real: -0.014346 Loss_D_fake 0.010090
[617/5000][30/535][63435] Loss_D: -0.025446 Loss_G: 0.022169 Loss_D_real: -0.018708 Loss_D_fake 0.006738
[617/5000][35/535][63436] Loss_D: -0.024913 Loss_G: 0.012627 Loss_D_real: -0.017630 Loss_D_fake 0.007283
[617/5000][40/535][63437] Loss_D: -0.025161 Loss_G: -0.004305 Loss_D_real: -0.002252 Loss_D_fake 0.022910
[617/5000][45/535][63438] Loss_D: -0.025097 Loss_G: 0.014958 Loss_D_real: -0.008623 Loss_D_fake 0.016474
[617/5000][50/535][63439] Loss_D: -0.024369 Loss_G: 0.035411 Loss_D_real: -0.026656 Loss_D_fake -0.002287
[617/5000][55/535][63440] Loss_D: -0.026210 Loss_G: 0.021473 Loss_D_real: -0.008589 Loss_D_fake 0.017621
[617/5000][60/535][63441] Loss_D: -0.025160 Loss_G: 0.021839 Loss_D_real: -0.023105 Loss_D_fake 0.002055
[617/5000][65/535][63442] Loss_D: -0.025829 Loss_G: 0.019372 Loss_D_real: -0.014788 Loss_D_fake 0.011041
[617/5000][70/535][63443] Loss_D: -0.022790 Loss_G: 0.021324 Loss_D_real: -0.023652 Loss_D_fake -0.000862
[617/5000][75/535][63444] Loss_D: -0.025015 Loss_G: 0.033985 Loss_D_real: -0.030238 Loss_D_fake -0.005223
[617/5000][80/535][63445] Loss_D: -0.025531 Loss_G: 0.013472 Loss_D_real: -0.014541 Loss_D_fake 0.010990
[617/5000][85/535][63446] Loss_D: -0.024966 Loss_G: 0.032388 Loss_D_real: -0.013121 Loss_D_fake 0.011845
[617/5000][90/535][63447] Loss_D: -0.024879 Loss_G: -0.001327 Loss_D_real: -0.008151 Loss_D_fake 0.016729
[617/5000][95/535][63448] Loss_D: -0.024155 Loss_G: -0.006190 Loss_D_real: -0.013378 Loss_D_fake 0.010777
[617/5000][100/535][63449] Loss_D: -0.024280 Loss_G: 0.011215 Loss_D_real: -0.017787 Loss_D_fake 0.006493
[617/5000][105/535][63450] Loss_D: -0.025303 Loss_G: 0.012968 Loss_D_real: -0.015661 Loss_D_fake 0.009642
[617/5000][110/535][63451] Loss_D: -0.026279 Loss_G: -0.003632 Loss_D_real: -0.013948 Loss_D_fake 0.012331
[617/5000][115/535][63452] Loss_D: -0.024211 Loss_G: 0.027024 Loss_D_real: -0.028261 Loss_D_fake -0.004051
[617/5000][120/535][63453] Loss_D: -0.023546 Loss_G: -0.009651 Loss_D_real: 0.000145 Loss_D_fake 0.023691
[617/5000][125/535][63454] Loss_D: -0.023581 Loss_G: -0.001475 Loss_D_real: -0.012541 Loss_D_fake 0.011039
[617/5000][130/535][63455] Loss_D: -0.024704 Loss_G: 0.003530 Loss_D_real: -0.000863 Loss_D_fake 0.023840
[617/5000][135/535][63456] Loss_D: -0.023856 Loss_G: -0.004315 Loss_D_real: -0.004176 Loss_D_fake 0.019681
[617/5000][140/535][63457] Loss_D: -0.024218 Loss_G: -0.004448 Loss_D_real: 0.001534 Loss_D_fake 0.025752
[617/5000][145/535][63458] Loss_D: -0.023769 Loss_G: 0.016613 Loss_D_real: -0.019374 Loss_D_fake 0.004395
[617/5000][150/535][63459] Loss_D: -0.023752 Loss_G: -0.006914 Loss_D_real: -0.002436 Loss_D_fake 0.021316
[617/5000][155/535][63460] Loss_D: -0.023633 Loss_G: -0.005992 Loss_D_real: -0.002405 Loss_D_fake 0.021228
[617/5000][160/535][63461] Loss_D: -0.023112 Loss_G: -0.016636 Loss_D_real: 0.003151 Loss_D_fake 0.026263
[617/5000][165/535][63462] Loss_D: -0.023266 Loss_G: 0.001959 Loss_D_real: -0.006802 Loss_D_fake 0.016464
[617/5000][170/535][63463] Loss_D: -0.024031 Loss_G: 0.014201 Loss_D_real: -0.015433 Loss_D_fake 0.008599
[617/5000][175/535][63464] Loss_D: -0.025018 Loss_G: 0.012672 Loss_D_real: -0.019626 Loss_D_fake 0.005392
[617/5000][180/535][63465] Loss_D: -0.025215 Loss_G: 0.031571 Loss_D_real: -0.020876 Loss_D_fake 0.004338
[617/5000][185/535][63466] Loss_D: -0.025177 Loss_G: 0.019986 Loss_D_real: -0.018346 Loss_D_fake 0.006831
[617/5000][190/535][63467] Loss_D: -0.023812 Loss_G: -0.005365 Loss_D_real: 0.001467 Loss_D_fake 0.025279
[617/5000][195/535][63468] Loss_D: -0.025122 Loss_G: 0.029265 Loss_D_real: -0.022875 Loss_D_fake 0.002247
[617/5000][200/535][63469] Loss_D: -0.024971 Loss_G: -0.000391 Loss_D_real: -0.000952 Loss_D_fake 0.024019
[617/5000][205/535][63470] Loss_D: -0.025035 Loss_G: 0.023817 Loss_D_real: -0.020125 Loss_D_fake 0.004910
[617/5000][210/535][63471] Loss_D: -0.025299 Loss_G: 0.017939 Loss_D_real: -0.015338 Loss_D_fake 0.009960
[617/5000][215/535][63472] Loss_D: -0.024003 Loss_G: -0.009942 Loss_D_real: 0.004571 Loss_D_fake 0.028575
[617/5000][220/535][63473] Loss_D: -0.021994 Loss_G: 0.025996 Loss_D_real: -0.031708 Loss_D_fake -0.009715
[617/5000][225/535][63474] Loss_D: -0.025464 Loss_G: -0.000638 Loss_D_real: -0.014061 Loss_D_fake 0.011403
[617/5000][230/535][63475] Loss_D: -0.025444 Loss_G: 0.010409 Loss_D_real: -0.008841 Loss_D_fake 0.016603
[617/5000][235/535][63476] Loss_D: -0.023624 Loss_G: -0.009836 Loss_D_real: -0.004818 Loss_D_fake 0.018806
[617/5000][240/535][63477] Loss_D: -0.024282 Loss_G: 0.024846 Loss_D_real: -0.024203 Loss_D_fake 0.000078
[617/5000][245/535][63478] Loss_D: -0.025367 Loss_G: 0.015902 Loss_D_real: -0.010105 Loss_D_fake 0.015262
[617/5000][250/535][63479] Loss_D: -0.025957 Loss_G: 0.000724 Loss_D_real: -0.009250 Loss_D_fake 0.016707
[617/5000][255/535][63480] Loss_D: -0.025100 Loss_G: 0.022507 Loss_D_real: -0.017655 Loss_D_fake 0.007444
[617/5000][260/535][63481] Loss_D: -0.026318 Loss_G: 0.002985 Loss_D_real: -0.014593 Loss_D_fake 0.011724
[617/5000][265/535][63482] Loss_D: -0.023516 Loss_G: 0.031900 Loss_D_real: -0.032245 Loss_D_fake -0.008728
[617/5000][270/535][63483] Loss_D: -0.026273 Loss_G: 0.013838 Loss_D_real: -0.015344 Loss_D_fake 0.010929
[617/5000][275/535][63484] Loss_D: -0.023998 Loss_G: 0.031290 Loss_D_real: -0.033725 Loss_D_fake -0.009727
[617/5000][280/535][63485] Loss_D: -0.023755 Loss_G: 0.017117 Loss_D_real: -0.021953 Loss_D_fake 0.001802
[617/5000][285/535][63486] Loss_D: -0.022962 Loss_G: 0.029926 Loss_D_real: -0.026939 Loss_D_fake -0.003976
[617/5000][290/535][63487] Loss_D: -0.025341 Loss_G: 0.009460 Loss_D_real: -0.007593 Loss_D_fake 0.017748
[617/5000][295/535][63488] Loss_D: -0.024246 Loss_G: -0.004218 Loss_D_real: -0.009958 Loss_D_fake 0.014289
[617/5000][300/535][63489] Loss_D: -0.023974 Loss_G: 0.019531 Loss_D_real: -0.026023 Loss_D_fake -0.002049
[617/5000][305/535][63490] Loss_D: -0.024810 Loss_G: 0.018851 Loss_D_real: -0.024446 Loss_D_fake 0.000364
[617/5000][310/535][63491] Loss_D: -0.024091 Loss_G: -0.008348 Loss_D_real: 0.007419 Loss_D_fake 0.031510
[617/5000][315/535][63492] Loss_D: -0.025213 Loss_G: 0.018705 Loss_D_real: -0.020831 Loss_D_fake 0.004381
[617/5000][320/535][63493] Loss_D: -0.024943 Loss_G: 0.004903 Loss_D_real: -0.009086 Loss_D_fake 0.015857
[617/5000][325/535][63494] Loss_D: -0.024628 Loss_G: 0.016826 Loss_D_real: -0.016476 Loss_D_fake 0.008152
[617/5000][330/535][63495] Loss_D: -0.024171 Loss_G: 0.000335 Loss_D_real: 0.002747 Loss_D_fake 0.026918
[617/5000][335/535][63496] Loss_D: -0.025092 Loss_G: 0.017676 Loss_D_real: -0.024635 Loss_D_fake 0.000457
[617/5000][340/535][63497] Loss_D: -0.025504 Loss_G: 0.019235 Loss_D_real: -0.013397 Loss_D_fake 0.012107
[617/5000][345/535][63498] Loss_D: -0.028133 Loss_G: 0.016242 Loss_D_real: -0.012137 Loss_D_fake 0.015996
[617/5000][350/535][63499] Loss_D: -0.025982 Loss_G: 0.017578 Loss_D_real: -0.013076 Loss_D_fake 0.012906
[617/5000][355/535][63500] Loss_D: -0.025808 Loss_G: 0.011180 Loss_D_real: -0.016240 Loss_D_fake 0.009568
[617/5000][455/535][63501] Loss_D: -0.029446 Loss_G: -0.007404 Loss_D_real: 0.004730 Loss_D_fake 0.034176
[617/5000][460/535][63502] Loss_D: -0.022812 Loss_G: 0.014196 Loss_D_real: -0.012056 Loss_D_fake 0.010756
[617/5000][465/535][63503] Loss_D: -0.022165 Loss_G: 0.019255 Loss_D_real: -0.020966 Loss_D_fake 0.001199
[617/5000][470/535][63504] Loss_D: -0.022813 Loss_G: 0.026389 Loss_D_real: -0.017995 Loss_D_fake 0.004819
[617/5000][475/535][63505] Loss_D: -0.023392 Loss_G: 0.001898 Loss_D_real: -0.013257 Loss_D_fake 0.010135
[617/5000][480/535][63506] Loss_D: -0.022608 Loss_G: 0.005311 Loss_D_real: -0.001386 Loss_D_fake 0.021222
[617/5000][485/535][63507] Loss_D: -0.023419 Loss_G: 0.014994 Loss_D_real: -0.006455 Loss_D_fake 0.016964
[617/5000][490/535][63508] Loss_D: -0.022817 Loss_G: 0.026846 Loss_D_real: -0.018436 Loss_D_fake 0.004381
[617/5000][495/535][63509] Loss_D: -0.024853 Loss_G: 0.002121 Loss_D_real: -0.007033 Loss_D_fake 0.017820
[617/5000][500/535][63510] Loss_D: -0.023515 Loss_G: 0.001323 Loss_D_real: -0.011756 Loss_D_fake 0.011758
[617/5000][505/535][63511] Loss_D: -0.022930 Loss_G: 0.013206 Loss_D_real: -0.014289 Loss_D_fake 0.008641
[617/5000][510/535][63512] Loss_D: -0.024355 Loss_G: 0.018765 Loss_D_real: -0.014230 Loss_D_fake 0.010125
[617/5000][515/535][63513] Loss_D: -0.023965 Loss_G: 0.004972 Loss_D_real: -0.010940 Loss_D_fake 0.013025
[617/5000][520/535][63514] Loss_D: -0.025293 Loss_G: 0.025064 Loss_D_real: -0.020292 Loss_D_fake 0.005001
[617/5000][525/535][63515] Loss_D: -0.025409 Loss_G: -0.000731 Loss_D_real: -0.010926 Loss_D_fake 0.014483
[617/5000][530/535][63516] Loss_D: -0.024774 Loss_G: 0.005790 Loss_D_real: -0.007473 Loss_D_fake 0.017301
[617/5000][535/535][63517] Loss_D: -0.022441 Loss_G: 0.017481 Loss_D_real: -0.014401 Loss_D_fake 0.008039
[618/5000][5/535][63518] Loss_D: -0.025571 Loss_G: 0.013489 Loss_D_real: -0.014013 Loss_D_fake 0.011557
[618/5000][10/535][63519] Loss_D: -0.023270 Loss_G: 0.030747 Loss_D_real: -0.027164 Loss_D_fake -0.003895
[618/5000][15/535][63520] Loss_D: -0.026312 Loss_G: 0.007003 Loss_D_real: -0.012330 Loss_D_fake 0.013983
[618/5000][20/535][63521] Loss_D: -0.025103 Loss_G: 0.010695 Loss_D_real: -0.019854 Loss_D_fake 0.005250
[618/5000][25/535][63522] Loss_D: -0.024653 Loss_G: 0.021574 Loss_D_real: -0.032708 Loss_D_fake -0.008054
[618/5000][30/535][63523] Loss_D: -0.025012 Loss_G: -0.002117 Loss_D_real: 0.000953 Loss_D_fake 0.025965
[618/5000][35/535][63524] Loss_D: -0.025436 Loss_G: 0.021955 Loss_D_real: -0.019891 Loss_D_fake 0.005545
[618/5000][40/535][63525] Loss_D: -0.025328 Loss_G: 0.002415 Loss_D_real: -0.014790 Loss_D_fake 0.010538
[618/5000][45/535][63526] Loss_D: -0.023441 Loss_G: 0.033355 Loss_D_real: -0.027668 Loss_D_fake -0.004227
[618/5000][50/535][63527] Loss_D: -0.024619 Loss_G: 0.008523 Loss_D_real: -0.008206 Loss_D_fake 0.016413
[618/5000][55/535][63528] Loss_D: -0.024724 Loss_G: -0.003333 Loss_D_real: -0.013034 Loss_D_fake 0.011690
[618/5000][60/535][63529] Loss_D: -0.023833 Loss_G: 0.018196 Loss_D_real: -0.021421 Loss_D_fake 0.002413
[618/5000][65/535][63530] Loss_D: -0.025130 Loss_G: 0.012487 Loss_D_real: -0.020659 Loss_D_fake 0.004471
[618/5000][70/535][63531] Loss_D: -0.023862 Loss_G: 0.026140 Loss_D_real: -0.025979 Loss_D_fake -0.002117
[618/5000][75/535][63532] Loss_D: -0.023457 Loss_G: 0.020417 Loss_D_real: -0.013474 Loss_D_fake 0.009983
[618/5000][80/535][63533] Loss_D: -0.026001 Loss_G: 0.006001 Loss_D_real: -0.010883 Loss_D_fake 0.015118
[618/5000][85/535][63534] Loss_D: -0.024435 Loss_G: 0.011896 Loss_D_real: -0.012348 Loss_D_fake 0.012087
[618/5000][90/535][63535] Loss_D: -0.023628 Loss_G: 0.003299 Loss_D_real: -0.023319 Loss_D_fake 0.000309
[618/5000][95/535][63536] Loss_D: -0.025670 Loss_G: -0.000448 Loss_D_real: -0.011072 Loss_D_fake 0.014598
[618/5000][100/535][63537] Loss_D: -0.024007 Loss_G: 0.035814 Loss_D_real: -0.017175 Loss_D_fake 0.006832
[618/5000][105/535][63538] Loss_D: -0.025077 Loss_G: 0.017202 Loss_D_real: -0.013637 Loss_D_fake 0.011440
[618/5000][110/535][63539] Loss_D: -0.023669 Loss_G: 0.031081 Loss_D_real: -0.019701 Loss_D_fake 0.003968
[618/5000][115/535][63540] Loss_D: -0.023413 Loss_G: 0.000812 Loss_D_real: -0.007967 Loss_D_fake 0.015446
[618/5000][120/535][63541] Loss_D: -0.023266 Loss_G: 0.024979 Loss_D_real: -0.032503 Loss_D_fake -0.009237
[618/5000][125/535][63542] Loss_D: -0.023837 Loss_G: 0.004501 Loss_D_real: -0.006244 Loss_D_fake 0.017593
[618/5000][130/535][63543] Loss_D: -0.024248 Loss_G: 0.017874 Loss_D_real: -0.019601 Loss_D_fake 0.004647
[618/5000][135/535][63544] Loss_D: -0.024980 Loss_G: -0.000738 Loss_D_real: -0.008437 Loss_D_fake 0.016543
[618/5000][140/535][63545] Loss_D: -0.023485 Loss_G: 0.008378 Loss_D_real: -0.007655 Loss_D_fake 0.015830
[618/5000][145/535][63546] Loss_D: -0.024259 Loss_G: 0.031728 Loss_D_real: -0.025652 Loss_D_fake -0.001393
[618/5000][150/535][63547] Loss_D: -0.023412 Loss_G: 0.027292 Loss_D_real: -0.019669 Loss_D_fake 0.003743
[618/5000][155/535][63548] Loss_D: -0.024585 Loss_G: 0.006820 Loss_D_real: -0.004186 Loss_D_fake 0.020399
[618/5000][160/535][63549] Loss_D: -0.023848 Loss_G: 0.026089 Loss_D_real: -0.037653 Loss_D_fake -0.013805
[618/5000][165/535][63550] Loss_D: -0.024832 Loss_G: 0.005948 Loss_D_real: -0.012087 Loss_D_fake 0.012745
[618/5000][170/535][63551] Loss_D: -0.024947 Loss_G: 0.019364 Loss_D_real: -0.023161 Loss_D_fake 0.001787
[618/5000][175/535][63552] Loss_D: -0.025637 Loss_G: 0.012003 Loss_D_real: -0.007994 Loss_D_fake 0.017643
[618/5000][180/535][63553] Loss_D: -0.026090 Loss_G: 0.021483 Loss_D_real: -0.016368 Loss_D_fake 0.009722
[618/5000][185/535][63554] Loss_D: -0.025815 Loss_G: 0.021623 Loss_D_real: -0.012319 Loss_D_fake 0.013496
[618/5000][190/535][63555] Loss_D: -0.024830 Loss_G: 0.025211 Loss_D_real: -0.023221 Loss_D_fake 0.001609
[618/5000][195/535][63556] Loss_D: -0.024875 Loss_G: 0.014788 Loss_D_real: -0.024748 Loss_D_fake 0.000127
[618/5000][200/535][63557] Loss_D: -0.025940 Loss_G: 0.007138 Loss_D_real: -0.017948 Loss_D_fake 0.007992
[618/5000][205/535][63558] Loss_D: -0.024376 Loss_G: 0.005686 Loss_D_real: -0.000843 Loss_D_fake 0.023533
[618/5000][210/535][63559] Loss_D: -0.024217 Loss_G: 0.017933 Loss_D_real: -0.018357 Loss_D_fake 0.005860
[618/5000][215/535][63560] Loss_D: -0.023387 Loss_G: 0.036742 Loss_D_real: -0.024264 Loss_D_fake -0.000877
[618/5000][220/535][63561] Loss_D: -0.023933 Loss_G: 0.003449 Loss_D_real: -0.000705 Loss_D_fake 0.023228
[618/5000][225/535][63562] Loss_D: -0.025020 Loss_G: 0.016044 Loss_D_real: -0.009720 Loss_D_fake 0.015300
[618/5000][230/535][63563] Loss_D: -0.024082 Loss_G: 0.034300 Loss_D_real: -0.029045 Loss_D_fake -0.004963
[618/5000][235/535][63564] Loss_D: -0.024136 Loss_G: 0.031133 Loss_D_real: -0.029672 Loss_D_fake -0.005536
[618/5000][240/535][63565] Loss_D: -0.025610 Loss_G: 0.004894 Loss_D_real: -0.015395 Loss_D_fake 0.010215
[618/5000][245/535][63566] Loss_D: -0.024892 Loss_G: 0.010115 Loss_D_real: -0.013431 Loss_D_fake 0.011462
[618/5000][250/535][63567] Loss_D: -0.026869 Loss_G: 0.027819 Loss_D_real: -0.019839 Loss_D_fake 0.007030
[618/5000][255/535][63568] Loss_D: -0.023808 Loss_G: 0.031336 Loss_D_real: -0.023373 Loss_D_fake 0.000436
[618/5000][260/535][63569] Loss_D: -0.025610 Loss_G: 0.015231 Loss_D_real: -0.007010 Loss_D_fake 0.018600
[618/5000][265/535][63570] Loss_D: -0.024525 Loss_G: 0.012466 Loss_D_real: -0.010924 Loss_D_fake 0.013600
[618/5000][270/535][63571] Loss_D: -0.024655 Loss_G: 0.012909 Loss_D_real: -0.012514 Loss_D_fake 0.012141
[618/5000][275/535][63572] Loss_D: -0.025070 Loss_G: 0.021837 Loss_D_real: -0.016620 Loss_D_fake 0.008449
[618/5000][280/535][63573] Loss_D: -0.025769 Loss_G: -0.007920 Loss_D_real: -0.007542 Loss_D_fake 0.018227
[618/5000][285/535][63574] Loss_D: -0.022608 Loss_G: 0.016863 Loss_D_real: -0.026997 Loss_D_fake -0.004389
[618/5000][290/535][63575] Loss_D: -0.024929 Loss_G: 0.031607 Loss_D_real: -0.025292 Loss_D_fake -0.000363
[618/5000][295/535][63576] Loss_D: -0.025114 Loss_G: 0.023864 Loss_D_real: -0.015026 Loss_D_fake 0.010088
[618/5000][300/535][63577] Loss_D: -0.024275 Loss_G: -0.005109 Loss_D_real: 0.009864 Loss_D_fake 0.034138
[618/5000][305/535][63578] Loss_D: -0.024148 Loss_G: 0.022353 Loss_D_real: -0.021240 Loss_D_fake 0.002908
[618/5000][310/535][63579] Loss_D: -0.024417 Loss_G: 0.033619 Loss_D_real: -0.023300 Loss_D_fake 0.001117
[618/5000][315/535][63580] Loss_D: -0.025450 Loss_G: 0.005165 Loss_D_real: -0.010619 Loss_D_fake 0.014831
[618/5000][320/535][63581] Loss_D: -0.024859 Loss_G: 0.036718 Loss_D_real: -0.028051 Loss_D_fake -0.003192
[618/5000][325/535][63582] Loss_D: -0.024950 Loss_G: 0.012290 Loss_D_real: -0.020507 Loss_D_fake 0.004443
[618/5000][330/535][63583] Loss_D: -0.025337 Loss_G: 0.021729 Loss_D_real: -0.019621 Loss_D_fake 0.005716
[618/5000][335/535][63584] Loss_D: -0.024207 Loss_G: 0.011421 Loss_D_real: -0.020563 Loss_D_fake 0.003644
[618/5000][340/535][63585] Loss_D: -0.024893 Loss_G: 0.019967 Loss_D_real: -0.020865 Loss_D_fake 0.004028
[618/5000][345/535][63586] Loss_D: -0.024565 Loss_G: 0.027389 Loss_D_real: -0.023456 Loss_D_fake 0.001109
[618/5000][350/535][63587] Loss_D: -0.025332 Loss_G: 0.025223 Loss_D_real: -0.023362 Loss_D_fake 0.001970
[618/5000][355/535][63588] Loss_D: -0.026697 Loss_G: 0.008496 Loss_D_real: -0.018053 Loss_D_fake 0.008644
[618/5000][360/535][63589] Loss_D: -0.024452 Loss_G: 0.032959 Loss_D_real: -0.022698 Loss_D_fake 0.001754
[618/5000][365/535][63590] Loss_D: -0.023318 Loss_G: 0.024583 Loss_D_real: -0.018836 Loss_D_fake 0.004481
[618/5000][370/535][63591] Loss_D: -0.023360 Loss_G: 0.013889 Loss_D_real: -0.011792 Loss_D_fake 0.011568
[618/5000][375/535][63592] Loss_D: -0.026070 Loss_G: 0.011077 Loss_D_real: -0.014833 Loss_D_fake 0.011238
[618/5000][380/535][63593] Loss_D: -0.024111 Loss_G: 0.018266 Loss_D_real: -0.009932 Loss_D_fake 0.014179
[618/5000][385/535][63594] Loss_D: -0.024667 Loss_G: 0.025520 Loss_D_real: -0.021826 Loss_D_fake 0.002841
[618/5000][390/535][63595] Loss_D: -0.024252 Loss_G: 0.022340 Loss_D_real: -0.026640 Loss_D_fake -0.002388
[618/5000][395/535][63596] Loss_D: -0.024694 Loss_G: 0.017341 Loss_D_real: -0.016970 Loss_D_fake 0.007725
[618/5000][400/535][63597] Loss_D: -0.023837 Loss_G: 0.017067 Loss_D_real: -0.018829 Loss_D_fake 0.005007
[618/5000][405/535][63598] Loss_D: -0.026187 Loss_G: 0.021397 Loss_D_real: -0.023420 Loss_D_fake 0.002767
[618/5000][410/535][63599] Loss_D: -0.025153 Loss_G: -0.003068 Loss_D_real: -0.006766 Loss_D_fake 0.018387
[618/5000][415/535][63600] Loss_D: -0.024411 Loss_G: -0.002588 Loss_D_real: -0.020602 Loss_D_fake 0.003809
[618/5000][420/535][63601] Loss_D: -0.024771 Loss_G: 0.023014 Loss_D_real: -0.014436 Loss_D_fake 0.010335
[618/5000][425/535][63602] Loss_D: -0.023586 Loss_G: 0.011556 Loss_D_real: -0.012875 Loss_D_fake 0.010711
[618/5000][430/535][63603] Loss_D: -0.022921 Loss_G: 0.040474 Loss_D_real: -0.035301 Loss_D_fake -0.012379
[618/5000][435/535][63604] Loss_D: -0.025851 Loss_G: 0.009224 Loss_D_real: -0.005170 Loss_D_fake 0.020681
[618/5000][440/535][63605] Loss_D: -0.024355 Loss_G: 0.033821 Loss_D_real: -0.034180 Loss_D_fake -0.009824
[618/5000][445/535][63606] Loss_D: -0.024814 Loss_G: -0.002524 Loss_D_real: -0.002012 Loss_D_fake 0.022802
[618/5000][450/535][63607] Loss_D: -0.024200 Loss_G: 0.010020 Loss_D_real: -0.018728 Loss_D_fake 0.005472
[618/5000][455/535][63608] Loss_D: -0.026094 Loss_G: 0.015568 Loss_D_real: -0.014398 Loss_D_fake 0.011696
[618/5000][460/535][63609] Loss_D: -0.024486 Loss_G: 0.012098 Loss_D_real: -0.022188 Loss_D_fake 0.002298
[618/5000][465/535][63610] Loss_D: -0.025952 Loss_G: 0.001510 Loss_D_real: -0.012231 Loss_D_fake 0.013721
[618/5000][470/535][63611] Loss_D: -0.023993 Loss_G: -0.005027 Loss_D_real: 0.010341 Loss_D_fake 0.034334
[618/5000][475/535][63612] Loss_D: -0.024817 Loss_G: 0.028445 Loss_D_real: -0.026328 Loss_D_fake -0.001511
[618/5000][480/535][63613] Loss_D: -0.024493 Loss_G: 0.017463 Loss_D_real: -0.014322 Loss_D_fake 0.010171
[618/5000][485/535][63614] Loss_D: -0.024199 Loss_G: 0.011077 Loss_D_real: -0.014040 Loss_D_fake 0.010159
[618/5000][490/535][63615] Loss_D: -0.024213 Loss_G: 0.038568 Loss_D_real: -0.032899 Loss_D_fake -0.008686
[618/5000][495/535][63616] Loss_D: -0.024028 Loss_G: 0.012929 Loss_D_real: -0.027494 Loss_D_fake -0.003466
[618/5000][500/535][63617] Loss_D: -0.023993 Loss_G: 0.025532 Loss_D_real: -0.019165 Loss_D_fake 0.004828
[618/5000][505/535][63618] Loss_D: -0.024350 Loss_G: 0.004531 Loss_D_real: -0.011511 Loss_D_fake 0.012840
[618/5000][510/535][63619] Loss_D: -0.024014 Loss_G: 0.030054 Loss_D_real: -0.029788 Loss_D_fake -0.005774
[618/5000][515/535][63620] Loss_D: -0.025903 Loss_G: 0.002923 Loss_D_real: -0.006391 Loss_D_fake 0.019511
[618/5000][520/535][63621] Loss_D: -0.022926 Loss_G: 0.011078 Loss_D_real: -0.009290 Loss_D_fake 0.013636
[618/5000][525/535][63622] Loss_D: -0.024796 Loss_G: 0.029124 Loss_D_real: -0.019124 Loss_D_fake 0.005673
[618/5000][530/535][63623] Loss_D: -0.024093 Loss_G: 0.015968 Loss_D_real: -0.016359 Loss_D_fake 0.007734
[618/5000][535/535][63624] Loss_D: -0.027468 Loss_G: 0.029166 Loss_D_real: -0.011557 Loss_D_fake 0.015911
[619/5000][5/535][63625] Loss_D: -0.024440 Loss_G: 0.013443 Loss_D_real: -0.017417 Loss_D_fake 0.007023
[619/5000][10/535][63626] Loss_D: -0.023890 Loss_G: 0.012079 Loss_D_real: -0.011186 Loss_D_fake 0.012703
[619/5000][15/535][63627] Loss_D: -0.025294 Loss_G: 0.028307 Loss_D_real: -0.025344 Loss_D_fake -0.000050
[619/5000][20/535][63628] Loss_D: -0.025338 Loss_G: 0.011937 Loss_D_real: -0.014417 Loss_D_fake 0.010921
[619/5000][25/535][63629] Loss_D: -0.024963 Loss_G: 0.000393 Loss_D_real: -0.011243 Loss_D_fake 0.013720
[619/5000][30/535][63630] Loss_D: -0.023839 Loss_G: 0.029128 Loss_D_real: -0.027335 Loss_D_fake -0.003495
[619/5000][35/535][63631] Loss_D: -0.026040 Loss_G: 0.007882 Loss_D_real: -0.005081 Loss_D_fake 0.020959
[619/5000][40/535][63632] Loss_D: -0.023911 Loss_G: 0.011927 Loss_D_real: -0.020145 Loss_D_fake 0.003766
[619/5000][45/535][63633] Loss_D: -0.024958 Loss_G: 0.030036 Loss_D_real: -0.017667 Loss_D_fake 0.007292
[619/5000][50/535][63634] Loss_D: -0.024536 Loss_G: 0.017794 Loss_D_real: -0.024790 Loss_D_fake -0.000254
[619/5000][55/535][63635] Loss_D: -0.025402 Loss_G: 0.033035 Loss_D_real: -0.018537 Loss_D_fake 0.006865
[619/5000][60/535][63636] Loss_D: -0.025839 Loss_G: 0.011593 Loss_D_real: -0.017340 Loss_D_fake 0.008499
[619/5000][65/535][63637] Loss_D: -0.025333 Loss_G: 0.016613 Loss_D_real: -0.027287 Loss_D_fake -0.001954
[619/5000][70/535][63638] Loss_D: -0.024303 Loss_G: 0.025828 Loss_D_real: -0.025333 Loss_D_fake -0.001030
[619/5000][75/535][63639] Loss_D: -0.025359 Loss_G: 0.005668 Loss_D_real: 0.004608 Loss_D_fake 0.029968
[619/5000][80/535][63640] Loss_D: -0.023889 Loss_G: -0.004111 Loss_D_real: 0.007951 Loss_D_fake 0.031840
[619/5000][85/535][63641] Loss_D: -0.025158 Loss_G: 0.012681 Loss_D_real: -0.025283 Loss_D_fake -0.000126
[619/5000][90/535][63642] Loss_D: -0.026245 Loss_G: -0.002739 Loss_D_real: -0.002848 Loss_D_fake 0.023397
[619/5000][95/535][63643] Loss_D: -0.025483 Loss_G: 0.006391 Loss_D_real: 0.000540 Loss_D_fake 0.026023
[619/5000][100/535][63644] Loss_D: -0.024661 Loss_G: 0.029216 Loss_D_real: -0.017347 Loss_D_fake 0.007315
[619/5000][105/535][63645] Loss_D: -0.023321 Loss_G: -0.005310 Loss_D_real: 0.007143 Loss_D_fake 0.030464
[619/5000][110/535][63646] Loss_D: -0.024065 Loss_G: 0.023988 Loss_D_real: -0.031652 Loss_D_fake -0.007587
[619/5000][115/535][63647] Loss_D: -0.024462 Loss_G: 0.010654 Loss_D_real: -0.009174 Loss_D_fake 0.015288
[619/5000][120/535][63648] Loss_D: -0.024693 Loss_G: 0.011405 Loss_D_real: -0.015801 Loss_D_fake 0.008891
[619/5000][125/535][63649] Loss_D: -0.024045 Loss_G: 0.020115 Loss_D_real: -0.007897 Loss_D_fake 0.016148
[619/5000][130/535][63650] Loss_D: -0.025259 Loss_G: 0.013279 Loss_D_real: -0.020838 Loss_D_fake 0.004422
[619/5000][135/535][63651] Loss_D: -0.024466 Loss_G: 0.020952 Loss_D_real: -0.011569 Loss_D_fake 0.012897
[619/5000][140/535][63652] Loss_D: -0.025338 Loss_G: 0.026116 Loss_D_real: -0.021104 Loss_D_fake 0.004234
[619/5000][145/535][63653] Loss_D: -0.025207 Loss_G: 0.029691 Loss_D_real: -0.018950 Loss_D_fake 0.006257
[619/5000][150/535][63654] Loss_D: -0.024771 Loss_G: -0.000367 Loss_D_real: 0.001943 Loss_D_fake 0.026714
[619/5000][155/535][63655] Loss_D: -0.024923 Loss_G: 0.020261 Loss_D_real: -0.016857 Loss_D_fake 0.008066
[619/5000][160/535][63656] Loss_D: -0.026042 Loss_G: 0.013227 Loss_D_real: -0.005955 Loss_D_fake 0.020087
[619/5000][165/535][63657] Loss_D: -0.025230 Loss_G: 0.016480 Loss_D_real: -0.017514 Loss_D_fake 0.007716
[619/5000][170/535][63658] Loss_D: -0.025468 Loss_G: 0.020137 Loss_D_real: -0.018073 Loss_D_fake 0.007394
[619/5000][175/535][63659] Loss_D: -0.023513 Loss_G: 0.040138 Loss_D_real: -0.038758 Loss_D_fake -0.015244
[619/5000][180/535][63660] Loss_D: -0.024362 Loss_G: 0.016628 Loss_D_real: -0.019334 Loss_D_fake 0.005029
[619/5000][185/535][63661] Loss_D: -0.022991 Loss_G: 0.034375 Loss_D_real: -0.017224 Loss_D_fake 0.005767
[619/5000][190/535][63662] Loss_D: -0.022417 Loss_G: -0.010539 Loss_D_real: 0.006271 Loss_D_fake 0.028688
[619/5000][195/535][63663] Loss_D: -0.025009 Loss_G: 0.018654 Loss_D_real: -0.015511 Loss_D_fake 0.009498
[619/5000][200/535][63664] Loss_D: -0.023154 Loss_G: 0.015595 Loss_D_real: -0.011396 Loss_D_fake 0.011759
[619/5000][205/535][63665] Loss_D: -0.023568 Loss_G: 0.027501 Loss_D_real: -0.024174 Loss_D_fake -0.000606
[619/5000][210/535][63666] Loss_D: -0.025214 Loss_G: 0.009230 Loss_D_real: -0.006909 Loss_D_fake 0.018305
[619/5000][215/535][63667] Loss_D: -0.024895 Loss_G: 0.023404 Loss_D_real: -0.016520 Loss_D_fake 0.008375
[619/5000][220/535][63668] Loss_D: -0.025372 Loss_G: 0.004559 Loss_D_real: -0.009367 Loss_D_fake 0.016005
[619/5000][225/535][63669] Loss_D: -0.023416 Loss_G: 0.026277 Loss_D_real: -0.016692 Loss_D_fake 0.006723
[619/5000][230/535][63670] Loss_D: -0.024231 Loss_G: 0.003348 Loss_D_real: -0.005192 Loss_D_fake 0.019040
[619/5000][235/535][63671] Loss_D: -0.025043 Loss_G: 0.021905 Loss_D_real: -0.023970 Loss_D_fake 0.001072
[619/5000][240/535][63672] Loss_D: -0.023711 Loss_G: 0.003575 Loss_D_real: -0.001077 Loss_D_fake 0.022634
[619/5000][245/535][63673] Loss_D: -0.024162 Loss_G: 0.019707 Loss_D_real: -0.024540 Loss_D_fake -0.000378
[619/5000][250/535][63674] Loss_D: -0.025919 Loss_G: 0.032385 Loss_D_real: -0.014649 Loss_D_fake 0.011270
[619/5000][255/535][63675] Loss_D: -0.023625 Loss_G: -0.017380 Loss_D_real: -0.001302 Loss_D_fake 0.022323
[619/5000][260/535][63676] Loss_D: -0.025173 Loss_G: 0.013000 Loss_D_real: -0.010068 Loss_D_fake 0.015105
[619/5000][265/535][63677] Loss_D: -0.023600 Loss_G: -0.007467 Loss_D_real: -0.010840 Loss_D_fake 0.012760
[619/5000][270/535][63678] Loss_D: -0.023897 Loss_G: 0.005469 Loss_D_real: -0.015057 Loss_D_fake 0.008840
[619/5000][275/535][63679] Loss_D: -0.024781 Loss_G: 0.010318 Loss_D_real: -0.009508 Loss_D_fake 0.015273
[619/5000][280/535][63680] Loss_D: -0.024081 Loss_G: 0.027675 Loss_D_real: -0.015330 Loss_D_fake 0.008751
[619/5000][285/535][63681] Loss_D: -0.026475 Loss_G: 0.017823 Loss_D_real: -0.018602 Loss_D_fake 0.007873
[619/5000][290/535][63682] Loss_D: -0.024827 Loss_G: 0.011906 Loss_D_real: -0.014967 Loss_D_fake 0.009860
[619/5000][295/535][63683] Loss_D: -0.023738 Loss_G: -0.011350 Loss_D_real: 0.004465 Loss_D_fake 0.028203
[619/5000][300/535][63684] Loss_D: -0.023842 Loss_G: 0.007159 Loss_D_real: -0.005055 Loss_D_fake 0.018787
[619/5000][305/535][63685] Loss_D: -0.025123 Loss_G: 0.025017 Loss_D_real: -0.006791 Loss_D_fake 0.018332
[619/5000][310/535][63686] Loss_D: -0.023520 Loss_G: 0.006134 Loss_D_real: -0.003825 Loss_D_fake 0.019695
[619/5000][315/535][63687] Loss_D: -0.023760 Loss_G: 0.022541 Loss_D_real: -0.018246 Loss_D_fake 0.005514
[619/5000][320/535][63688] Loss_D: -0.024060 Loss_G: -0.005310 Loss_D_real: 0.000869 Loss_D_fake 0.024929
[619/5000][325/535][63689] Loss_D: -0.023607 Loss_G: 0.014670 Loss_D_real: -0.011610 Loss_D_fake 0.011998
[619/5000][330/535][63690] Loss_D: -0.024831 Loss_G: 0.019813 Loss_D_real: -0.024825 Loss_D_fake 0.000006
[619/5000][335/535][63691] Loss_D: -0.022833 Loss_G: 0.029095 Loss_D_real: -0.029383 Loss_D_fake -0.006549
[619/5000][340/535][63692] Loss_D: -0.025760 Loss_G: 0.010173 Loss_D_real: -0.009317 Loss_D_fake 0.016444
[619/5000][345/535][63693] Loss_D: -0.023864 Loss_G: 0.042639 Loss_D_real: -0.030336 Loss_D_fake -0.006472
[619/5000][350/535][63694] Loss_D: -0.025285 Loss_G: 0.007028 Loss_D_real: -0.006059 Loss_D_fake 0.019226
[619/5000][355/535][63695] Loss_D: -0.024657 Loss_G: 0.001784 Loss_D_real: -0.000453 Loss_D_fake 0.024204
[619/5000][360/535][63696] Loss_D: -0.024570 Loss_G: 0.019474 Loss_D_real: -0.026267 Loss_D_fake -0.001696
[619/5000][365/535][63697] Loss_D: -0.023128 Loss_G: 0.021788 Loss_D_real: -0.018166 Loss_D_fake 0.004962
[619/5000][370/535][63698] Loss_D: -0.024559 Loss_G: 0.002642 Loss_D_real: -0.008742 Loss_D_fake 0.015817
[619/5000][375/535][63699] Loss_D: -0.025734 Loss_G: 0.038043 Loss_D_real: -0.019961 Loss_D_fake 0.005773
[619/5000][380/535][63700] Loss_D: -0.024561 Loss_G: 0.018775 Loss_D_real: -0.022698 Loss_D_fake 0.001863
[619/5000][385/535][63701] Loss_D: -0.025143 Loss_G: 0.013663 Loss_D_real: -0.020402 Loss_D_fake 0.004740
[619/5000][390/535][63702] Loss_D: -0.024874 Loss_G: 0.023048 Loss_D_real: -0.025359 Loss_D_fake -0.000485
[619/5000][395/535][63703] Loss_D: -0.023874 Loss_G: 0.005042 Loss_D_real: -0.012098 Loss_D_fake 0.011776
[619/5000][400/535][63704] Loss_D: -0.024148 Loss_G: 0.013074 Loss_D_real: -0.007438 Loss_D_fake 0.016710
[619/5000][405/535][63705] Loss_D: -0.025008 Loss_G: 0.002383 Loss_D_real: -0.002950 Loss_D_fake 0.022058
[619/5000][410/535][63706] Loss_D: -0.023678 Loss_G: 0.017253 Loss_D_real: -0.018133 Loss_D_fake 0.005545
[619/5000][415/535][63707] Loss_D: -0.024049 Loss_G: 0.031890 Loss_D_real: -0.025610 Loss_D_fake -0.001561
[619/5000][420/535][63708] Loss_D: -0.025400 Loss_G: -0.003423 Loss_D_real: -0.007280 Loss_D_fake 0.018119
[619/5000][425/535][63709] Loss_D: -0.022702 Loss_G: 0.021747 Loss_D_real: -0.023547 Loss_D_fake -0.000846
[619/5000][430/535][63710] Loss_D: -0.025302 Loss_G: 0.027038 Loss_D_real: -0.029910 Loss_D_fake -0.004607
[619/5000][435/535][63711] Loss_D: -0.025715 Loss_G: 0.020807 Loss_D_real: -0.020248 Loss_D_fake 0.005467
[619/5000][440/535][63712] Loss_D: -0.024971 Loss_G: 0.025829 Loss_D_real: -0.034324 Loss_D_fake -0.009353
[619/5000][445/535][63713] Loss_D: -0.025222 Loss_G: 0.036466 Loss_D_real: -0.023703 Loss_D_fake 0.001519
[619/5000][450/535][63714] Loss_D: -0.025298 Loss_G: 0.009495 Loss_D_real: -0.010581 Loss_D_fake 0.014718
[619/5000][455/535][63715] Loss_D: -0.024056 Loss_G: 0.029101 Loss_D_real: -0.023808 Loss_D_fake 0.000248
[619/5000][460/535][63716] Loss_D: -0.025053 Loss_G: -0.008351 Loss_D_real: 0.000165 Loss_D_fake 0.025218
[619/5000][465/535][63717] Loss_D: -0.023220 Loss_G: 0.020699 Loss_D_real: -0.011874 Loss_D_fake 0.011347
[619/5000][470/535][63718] Loss_D: -0.025019 Loss_G: 0.009129 Loss_D_real: -0.016405 Loss_D_fake 0.008614
[619/5000][475/535][63719] Loss_D: -0.024817 Loss_G: -0.002776 Loss_D_real: -0.000330 Loss_D_fake 0.024487
[619/5000][480/535][63720] Loss_D: -0.024421 Loss_G: 0.019762 Loss_D_real: -0.021462 Loss_D_fake 0.002959
[619/5000][485/535][63721] Loss_D: -0.023902 Loss_G: 0.031001 Loss_D_real: -0.020981 Loss_D_fake 0.002921
[619/5000][490/535][63722] Loss_D: -0.024608 Loss_G: 0.033245 Loss_D_real: -0.025931 Loss_D_fake -0.001323
[619/5000][495/535][63723] Loss_D: -0.022380 Loss_G: 0.026397 Loss_D_real: -0.037535 Loss_D_fake -0.015155
[619/5000][500/535][63724] Loss_D: -0.025559 Loss_G: 0.027075 Loss_D_real: -0.028387 Loss_D_fake -0.002828
[619/5000][505/535][63725] Loss_D: -0.026224 Loss_G: 0.015824 Loss_D_real: -0.018967 Loss_D_fake 0.007256
[619/5000][510/535][63726] Loss_D: -0.024928 Loss_G: 0.020098 Loss_D_real: -0.023452 Loss_D_fake 0.001476
[619/5000][515/535][63727] Loss_D: -0.026284 Loss_G: 0.001211 Loss_D_real: -0.004358 Loss_D_fake 0.021926
[619/5000][520/535][63728] Loss_D: -0.024860 Loss_G: 0.010067 Loss_D_real: 0.004208 Loss_D_fake 0.029067
[619/5000][525/535][63729] Loss_D: -0.024935 Loss_G: 0.018721 Loss_D_real: -0.025450 Loss_D_fake -0.000515
[619/5000][530/535][63730] Loss_D: -0.025056 Loss_G: 0.022161 Loss_D_real: -0.016478 Loss_D_fake 0.008579
[619/5000][535/535][63731] Loss_D: -0.021635 Loss_G: 0.023951 Loss_D_real: -0.015393 Loss_D_fake 0.006242
[620/5000][5/535][63732] Loss_D: -0.023670 Loss_G: 0.007918 Loss_D_real: -0.014424 Loss_D_fake 0.009246
[620/5000][10/535][63733] Loss_D: -0.024680 Loss_G: 0.000767 Loss_D_real: -0.008066 Loss_D_fake 0.016613
[620/5000][15/535][63734] Loss_D: -0.025388 Loss_G: 0.004062 Loss_D_real: -0.013430 Loss_D_fake 0.011958
[620/5000][20/535][63735] Loss_D: -0.023778 Loss_G: 0.022718 Loss_D_real: -0.018149 Loss_D_fake 0.005629
[620/5000][25/535][63736] Loss_D: -0.024225 Loss_G: 0.007949 Loss_D_real: -0.006808 Loss_D_fake 0.017416
[620/5000][30/535][63737] Loss_D: -0.024278 Loss_G: 0.025350 Loss_D_real: -0.024529 Loss_D_fake -0.000250
[620/5000][35/535][63738] Loss_D: -0.023966 Loss_G: 0.005056 Loss_D_real: -0.011869 Loss_D_fake 0.012096
[620/5000][40/535][63739] Loss_D: -0.025709 Loss_G: 0.017390 Loss_D_real: -0.023024 Loss_D_fake 0.002686
[620/5000][45/535][63740] Loss_D: -0.026623 Loss_G: 0.024133 Loss_D_real: -0.020273 Loss_D_fake 0.006350
[620/5000][50/535][63741] Loss_D: -0.025995 Loss_G: 0.013328 Loss_D_real: -0.015593 Loss_D_fake 0.010402
[620/5000][55/535][63742] Loss_D: -0.026799 Loss_G: 0.014724 Loss_D_real: -0.020591 Loss_D_fake 0.006209
[620/5000][60/535][63743] Loss_D: -0.025261 Loss_G: -0.005213 Loss_D_real: -0.000007 Loss_D_fake 0.025254
[620/5000][65/535][63744] Loss_D: -0.024116 Loss_G: 0.033547 Loss_D_real: -0.024685 Loss_D_fake -0.000568
[620/5000][70/535][63745] Loss_D: -0.024177 Loss_G: -0.001260 Loss_D_real: 0.000680 Loss_D_fake 0.024857
[620/5000][75/535][63746] Loss_D: -0.025946 Loss_G: 0.013259 Loss_D_real: -0.015628 Loss_D_fake 0.010319
[620/5000][80/535][63747] Loss_D: -0.026321 Loss_G: 0.001303 Loss_D_real: -0.011606 Loss_D_fake 0.014715
[620/5000][85/535][63748] Loss_D: -0.024503 Loss_G: 0.030089 Loss_D_real: -0.022894 Loss_D_fake 0.001609
[620/5000][90/535][63749] Loss_D: -0.025507 Loss_G: 0.007683 Loss_D_real: -0.002510 Loss_D_fake 0.022998
[620/5000][95/535][63750] Loss_D: -0.023651 Loss_G: -0.005100 Loss_D_real: 0.005145 Loss_D_fake 0.028796
[620/5000][100/535][63751] Loss_D: -0.024779 Loss_G: 0.025738 Loss_D_real: -0.020775 Loss_D_fake 0.004004
[620/5000][105/535][63752] Loss_D: -0.024687 Loss_G: 0.009672 Loss_D_real: -0.007602 Loss_D_fake 0.017084
[620/5000][110/535][63753] Loss_D: -0.025821 Loss_G: 0.021963 Loss_D_real: -0.022826 Loss_D_fake 0.002995
[620/5000][115/535][63754] Loss_D: -0.024211 Loss_G: 0.015002 Loss_D_real: -0.025957 Loss_D_fake -0.001746
[620/5000][120/535][63755] Loss_D: -0.026362 Loss_G: 0.014075 Loss_D_real: -0.013736 Loss_D_fake 0.012626
[620/5000][125/535][63756] Loss_D: -0.023092 Loss_G: 0.013087 Loss_D_real: -0.009740 Loss_D_fake 0.013352
[620/5000][130/535][63757] Loss_D: -0.023944 Loss_G: 0.011055 Loss_D_real: -0.004056 Loss_D_fake 0.019888
[620/5000][135/535][63758] Loss_D: -0.024046 Loss_G: -0.002167 Loss_D_real: -0.000581 Loss_D_fake 0.023466
[620/5000][140/535][63759] Loss_D: -0.023349 Loss_G: 0.024352 Loss_D_real: -0.019540 Loss_D_fake 0.003809
[620/5000][145/535][63760] Loss_D: -0.026012 Loss_G: 0.021168 Loss_D_real: -0.022593 Loss_D_fake 0.003419
[620/5000][150/535][63761] Loss_D: -0.023694 Loss_G: 0.037843 Loss_D_real: -0.025185 Loss_D_fake -0.001490
[620/5000][155/535][63762] Loss_D: -0.024228 Loss_G: 0.008596 Loss_D_real: -0.003746 Loss_D_fake 0.020482
[620/5000][160/535][63763] Loss_D: -0.024703 Loss_G: 0.004253 Loss_D_real: -0.011722 Loss_D_fake 0.012981
[620/5000][165/535][63764] Loss_D: -0.021768 Loss_G: 0.039503 Loss_D_real: -0.030212 Loss_D_fake -0.008444
[620/5000][170/535][63765] Loss_D: -0.025170 Loss_G: 0.005351 Loss_D_real: -0.012054 Loss_D_fake 0.013117
[620/5000][175/535][63766] Loss_D: -0.024624 Loss_G: 0.025800 Loss_D_real: -0.020935 Loss_D_fake 0.003689
[620/5000][180/535][63767] Loss_D: -0.024232 Loss_G: 0.034700 Loss_D_real: -0.020698 Loss_D_fake 0.003534
[620/5000][185/535][63768] Loss_D: -0.023940 Loss_G: 0.007245 Loss_D_real: -0.012827 Loss_D_fake 0.011113
[620/5000][190/535][63769] Loss_D: -0.024034 Loss_G: -0.000150 Loss_D_real: -0.004332 Loss_D_fake 0.019703
[620/5000][195/535][63770] Loss_D: -0.023286 Loss_G: 0.023885 Loss_D_real: -0.021321 Loss_D_fake 0.001965
[620/5000][200/535][63771] Loss_D: -0.025206 Loss_G: 0.009644 Loss_D_real: -0.014583 Loss_D_fake 0.010622
[620/5000][205/535][63772] Loss_D: -0.023118 Loss_G: 0.027376 Loss_D_real: -0.020044 Loss_D_fake 0.003073
[620/5000][210/535][63773] Loss_D: -0.025207 Loss_G: 0.008201 Loss_D_real: -0.003569 Loss_D_fake 0.021639
[620/5000][215/535][63774] Loss_D: -0.024249 Loss_G: 0.020042 Loss_D_real: -0.022994 Loss_D_fake 0.001255
[620/5000][220/535][63775] Loss_D: -0.025831 Loss_G: 0.011410 Loss_D_real: -0.011699 Loss_D_fake 0.014132
[620/5000][225/535][63776] Loss_D: -0.023994 Loss_G: 0.021721 Loss_D_real: -0.025127 Loss_D_fake -0.001133
[620/5000][230/535][63777] Loss_D: -0.025617 Loss_G: 0.018326 Loss_D_real: -0.009099 Loss_D_fake 0.016518
[620/5000][235/535][63778] Loss_D: -0.025050 Loss_G: 0.003337 Loss_D_real: -0.011963 Loss_D_fake 0.013088
[620/5000][240/535][63779] Loss_D: -0.024177 Loss_G: 0.028572 Loss_D_real: -0.027279 Loss_D_fake -0.003102
[620/5000][245/535][63780] Loss_D: -0.024309 Loss_G: 0.005351 Loss_D_real: 0.001202 Loss_D_fake 0.025511
[620/5000][250/535][63781] Loss_D: -0.025344 Loss_G: 0.023770 Loss_D_real: -0.026257 Loss_D_fake -0.000912
[620/5000][255/535][63782] Loss_D: -0.025759 Loss_G: -0.003582 Loss_D_real: 0.003737 Loss_D_fake 0.029496
[620/5000][260/535][63783] Loss_D: -0.025640 Loss_G: -0.008223 Loss_D_real: -0.008786 Loss_D_fake 0.016854
[620/5000][265/535][63784] Loss_D: -0.025025 Loss_G: 0.015577 Loss_D_real: -0.019569 Loss_D_fake 0.005456
[620/5000][270/535][63785] Loss_D: -0.026871 Loss_G: 0.029076 Loss_D_real: -0.015307 Loss_D_fake 0.011564
[620/5000][275/535][63786] Loss_D: -0.025590 Loss_G: 0.020663 Loss_D_real: -0.014857 Loss_D_fake 0.010733
[620/5000][280/535][63787] Loss_D: -0.023267 Loss_G: -0.015240 Loss_D_real: 0.003496 Loss_D_fake 0.026762
[620/5000][285/535][63788] Loss_D: -0.023676 Loss_G: 0.028949 Loss_D_real: -0.022112 Loss_D_fake 0.001564
[620/5000][290/535][63789] Loss_D: -0.024814 Loss_G: 0.021514 Loss_D_real: -0.024712 Loss_D_fake 0.000102
[620/5000][295/535][63790] Loss_D: -0.023916 Loss_G: 0.032481 Loss_D_real: -0.026188 Loss_D_fake -0.002272
[620/5000][300/535][63791] Loss_D: -0.024614 Loss_G: 0.020460 Loss_D_real: -0.009817 Loss_D_fake 0.014797
[620/5000][305/535][63792] Loss_D: -0.024266 Loss_G: 0.013458 Loss_D_real: -0.013632 Loss_D_fake 0.010634
[620/5000][310/535][63793] Loss_D: -0.023858 Loss_G: 0.020185 Loss_D_real: -0.021431 Loss_D_fake 0.002427
[620/5000][315/535][63794] Loss_D: -0.023182 Loss_G: 0.011427 Loss_D_real: -0.016307 Loss_D_fake 0.006875
[620/5000][320/535][63795] Loss_D: -0.023952 Loss_G: 0.014049 Loss_D_real: -0.012660 Loss_D_fake 0.011292
[620/5000][325/535][63796] Loss_D: -0.025336 Loss_G: 0.019704 Loss_D_real: -0.018914 Loss_D_fake 0.006422
[620/5000][330/535][63797] Loss_D: -0.023795 Loss_G: 0.024353 Loss_D_real: -0.024001 Loss_D_fake -0.000206
[620/5000][335/535][63798] Loss_D: -0.023127 Loss_G: -0.004235 Loss_D_real: 0.004924 Loss_D_fake 0.028052
[620/5000][340/535][63799] Loss_D: -0.023988 Loss_G: 0.027711 Loss_D_real: -0.022497 Loss_D_fake 0.001491
[620/5000][345/535][63800] Loss_D: -0.024379 Loss_G: 0.015565 Loss_D_real: -0.020777 Loss_D_fake 0.003601
[620/5000][350/535][63801] Loss_D: -0.024995 Loss_G: 0.015794 Loss_D_real: -0.019895 Loss_D_fake 0.005101
[620/5000][355/535][63802] Loss_D: -0.023628 Loss_G: -0.013460 Loss_D_real: 0.006171 Loss_D_fake 0.029799
[620/5000][360/535][63803] Loss_D: -0.024925 Loss_G: 0.022453 Loss_D_real: -0.020302 Loss_D_fake 0.004624
[620/5000][365/535][63804] Loss_D: -0.023755 Loss_G: 0.036844 Loss_D_real: -0.027038 Loss_D_fake -0.003283
[620/5000][370/535][63805] Loss_D: -0.025489 Loss_G: 0.030433 Loss_D_real: -0.020342 Loss_D_fake 0.005147
[620/5000][375/535][63806] Loss_D: -0.025123 Loss_G: 0.017332 Loss_D_real: -0.027222 Loss_D_fake -0.002098
[620/5000][380/535][63807] Loss_D: -0.026317 Loss_G: 0.006041 Loss_D_real: -0.006187 Loss_D_fake 0.020131
[620/5000][385/535][63808] Loss_D: -0.024286 Loss_G: 0.014490 Loss_D_real: -0.017767 Loss_D_fake 0.006519
[620/5000][390/535][63809] Loss_D: -0.024533 Loss_G: 0.016762 Loss_D_real: -0.014436 Loss_D_fake 0.010097
[620/5000][395/535][63810] Loss_D: -0.024837 Loss_G: 0.022154 Loss_D_real: -0.022221 Loss_D_fake 0.002615
[620/5000][400/535][63811] Loss_D: -0.025201 Loss_G: 0.015098 Loss_D_real: -0.020669 Loss_D_fake 0.004532
[620/5000][405/535][63812] Loss_D: -0.024894 Loss_G: 0.014406 Loss_D_real: -0.011351 Loss_D_fake 0.013543
[620/5000][410/535][63813] Loss_D: -0.024839 Loss_G: 0.021432 Loss_D_real: -0.022715 Loss_D_fake 0.002124
[620/5000][415/535][63814] Loss_D: -0.024304 Loss_G: -0.008400 Loss_D_real: -0.007088 Loss_D_fake 0.017216
[620/5000][420/535][63815] Loss_D: -0.022463 Loss_G: 0.028218 Loss_D_real: -0.033524 Loss_D_fake -0.011061
[620/5000][425/535][63816] Loss_D: -0.023428 Loss_G: 0.034082 Loss_D_real: -0.027705 Loss_D_fake -0.004276
[620/5000][430/535][63817] Loss_D: -0.025202 Loss_G: 0.010216 Loss_D_real: -0.015998 Loss_D_fake 0.009204
[620/5000][435/535][63818] Loss_D: -0.024977 Loss_G: 0.018375 Loss_D_real: -0.017580 Loss_D_fake 0.007396
[620/5000][440/535][63819] Loss_D: -0.025314 Loss_G: -0.002640 Loss_D_real: -0.001206 Loss_D_fake 0.024108
[620/5000][445/535][63820] Loss_D: -0.023478 Loss_G: 0.037815 Loss_D_real: -0.025939 Loss_D_fake -0.002461
[620/5000][450/535][63821] Loss_D: -0.025100 Loss_G: 0.011205 Loss_D_real: -0.012788 Loss_D_fake 0.012313
[620/5000][455/535][63822] Loss_D: -0.022551 Loss_G: 0.029100 Loss_D_real: -0.025462 Loss_D_fake -0.002911
[620/5000][460/535][63823] Loss_D: -0.024068 Loss_G: 0.028407 Loss_D_real: -0.024663 Loss_D_fake -0.000595
[620/5000][465/535][63824] Loss_D: -0.024861 Loss_G: 0.032601 Loss_D_real: -0.016475 Loss_D_fake 0.008386
[620/5000][470/535][63825] Loss_D: -0.024435 Loss_G: 0.017793 Loss_D_real: -0.019002 Loss_D_fake 0.005433
[620/5000][475/535][63826] Loss_D: -0.024917 Loss_G: 0.007712 Loss_D_real: -0.009665 Loss_D_fake 0.015252
[620/5000][480/535][63827] Loss_D: -0.024491 Loss_G: 0.031559 Loss_D_real: -0.025884 Loss_D_fake -0.001393
[620/5000][485/535][63828] Loss_D: -0.024065 Loss_G: -0.006439 Loss_D_real: 0.008363 Loss_D_fake 0.032428
[620/5000][490/535][63829] Loss_D: -0.024875 Loss_G: 0.020358 Loss_D_real: -0.017167 Loss_D_fake 0.007708
[620/5000][495/535][63830] Loss_D: -0.023355 Loss_G: 0.006384 Loss_D_real: -0.018045 Loss_D_fake 0.005310
[620/5000][500/535][63831] Loss_D: -0.025036 Loss_G: 0.018047 Loss_D_real: -0.023375 Loss_D_fake 0.001660
[620/5000][505/535][63832] Loss_D: -0.025881 Loss_G: 0.012209 Loss_D_real: -0.013217 Loss_D_fake 0.012663
[620/5000][510/535][63833] Loss_D: -0.027131 Loss_G: 0.019467 Loss_D_real: -0.017696 Loss_D_fake 0.009435
[620/5000][515/535][63834] Loss_D: -0.027844 Loss_G: 0.021198 Loss_D_real: -0.010575 Loss_D_fake 0.017269
[620/5000][520/535][63835] Loss_D: -0.025261 Loss_G: -0.003610 Loss_D_real: 0.000547 Loss_D_fake 0.025809
[620/5000][525/535][63836] Loss_D: -0.025210 Loss_G: -0.001206 Loss_D_real: -0.002203 Loss_D_fake 0.023007
[620/5000][530/535][63837] Loss_D: -0.023274 Loss_G: 0.036158 Loss_D_real: -0.026356 Loss_D_fake -0.003082
[620/5000][535/535][63838] Loss_D: -0.026806 Loss_G: 0.029417 Loss_D_real: -0.015997 Loss_D_fake 0.010809
[621/5000][5/535][63839] Loss_D: -0.024913 Loss_G: 0.011485 Loss_D_real: -0.013688 Loss_D_fake 0.011224
[621/5000][10/535][63840] Loss_D: -0.025385 Loss_G: 0.005074 Loss_D_real: -0.015611 Loss_D_fake 0.009774
[621/5000][15/535][63841] Loss_D: -0.025177 Loss_G: 0.007846 Loss_D_real: -0.005589 Loss_D_fake 0.019588
[621/5000][20/535][63842] Loss_D: -0.025077 Loss_G: 0.023897 Loss_D_real: -0.017122 Loss_D_fake 0.007955
[621/5000][25/535][63843] Loss_D: -0.023557 Loss_G: 0.031221 Loss_D_real: -0.038596 Loss_D_fake -0.015039
[621/5000][30/535][63844] Loss_D: -0.024559 Loss_G: 0.007020 Loss_D_real: -0.005972 Loss_D_fake 0.018587
[621/5000][35/535][63845] Loss_D: -0.023124 Loss_G: 0.018524 Loss_D_real: -0.024328 Loss_D_fake -0.001204
[621/5000][40/535][63846] Loss_D: -0.023612 Loss_G: 0.018272 Loss_D_real: -0.027574 Loss_D_fake -0.003962
[621/5000][45/535][63847] Loss_D: -0.025287 Loss_G: 0.020242 Loss_D_real: -0.014889 Loss_D_fake 0.010398
[621/5000][50/535][63848] Loss_D: -0.024501 Loss_G: 0.034618 Loss_D_real: -0.030652 Loss_D_fake -0.006152
[621/5000][55/535][63849] Loss_D: -0.026434 Loss_G: 0.009641 Loss_D_real: -0.014213 Loss_D_fake 0.012221
[621/5000][60/535][63850] Loss_D: -0.024647 Loss_G: 0.024380 Loss_D_real: -0.035352 Loss_D_fake -0.010705
[621/5000][65/535][63851] Loss_D: -0.025213 Loss_G: 0.016384 Loss_D_real: -0.013474 Loss_D_fake 0.011739
[621/5000][70/535][63852] Loss_D: -0.025014 Loss_G: 0.033176 Loss_D_real: -0.027599 Loss_D_fake -0.002585
[621/5000][75/535][63853] Loss_D: -0.024938 Loss_G: -0.003247 Loss_D_real: -0.010485 Loss_D_fake 0.014453
[621/5000][80/535][63854] Loss_D: -0.024471 Loss_G: 0.004347 Loss_D_real: -0.011598 Loss_D_fake 0.012873
[621/5000][85/535][63855] Loss_D: -0.023938 Loss_G: 0.014439 Loss_D_real: -0.024900 Loss_D_fake -0.000963
[621/5000][90/535][63856] Loss_D: -0.023985 Loss_G: 0.023030 Loss_D_real: -0.028527 Loss_D_fake -0.004542
[621/5000][95/535][63857] Loss_D: -0.024821 Loss_G: 0.001260 Loss_D_real: -0.003045 Loss_D_fake 0.021775
[621/5000][100/535][63858] Loss_D: -0.023782 Loss_G: 0.028645 Loss_D_real: -0.022757 Loss_D_fake 0.001025
[621/5000][105/535][63859] Loss_D: -0.024570 Loss_G: 0.012586 Loss_D_real: -0.016224 Loss_D_fake 0.008347
[621/5000][110/535][63860] Loss_D: -0.024840 Loss_G: 0.013983 Loss_D_real: -0.015737 Loss_D_fake 0.009103
[621/5000][115/535][63861] Loss_D: -0.023351 Loss_G: 0.009903 Loss_D_real: -0.022334 Loss_D_fake 0.001017
[621/5000][120/535][63862] Loss_D: -0.025249 Loss_G: 0.006098 Loss_D_real: -0.000220 Loss_D_fake 0.025029
[621/5000][125/535][63863] Loss_D: -0.024215 Loss_G: 0.024859 Loss_D_real: -0.023290 Loss_D_fake 0.000925
[621/5000][130/535][63864] Loss_D: -0.025062 Loss_G: 0.026102 Loss_D_real: -0.026209 Loss_D_fake -0.001147
[621/5000][135/535][63865] Loss_D: -0.024159 Loss_G: 0.027832 Loss_D_real: -0.018175 Loss_D_fake 0.005983
[621/5000][140/535][63866] Loss_D: -0.025332 Loss_G: 0.001090 Loss_D_real: -0.009856 Loss_D_fake 0.015475
[621/5000][145/535][63867] Loss_D: -0.024952 Loss_G: 0.004686 Loss_D_real: -0.009490 Loss_D_fake 0.015462
[621/5000][150/535][63868] Loss_D: -0.023269 Loss_G: 0.027896 Loss_D_real: -0.031646 Loss_D_fake -0.008377
[621/5000][155/535][63869] Loss_D: -0.024240 Loss_G: 0.006271 Loss_D_real: -0.011444 Loss_D_fake 0.012796
[621/5000][160/535][63870] Loss_D: -0.025833 Loss_G: 0.014162 Loss_D_real: -0.022469 Loss_D_fake 0.003364
[621/5000][165/535][63871] Loss_D: -0.025670 Loss_G: 0.019814 Loss_D_real: -0.022359 Loss_D_fake 0.003311
[621/5000][170/535][63872] Loss_D: -0.025058 Loss_G: 0.026995 Loss_D_real: -0.015049 Loss_D_fake 0.010008
[621/5000][175/535][63873] Loss_D: -0.022683 Loss_G: 0.032931 Loss_D_real: -0.032552 Loss_D_fake -0.009869
[621/5000][180/535][63874] Loss_D: -0.025935 Loss_G: 0.005519 Loss_D_real: -0.019935 Loss_D_fake 0.006000
[621/5000][185/535][63875] Loss_D: -0.023891 Loss_G: 0.023616 Loss_D_real: -0.020122 Loss_D_fake 0.003769
[621/5000][190/535][63876] Loss_D: -0.025045 Loss_G: -0.005207 Loss_D_real: -0.006789 Loss_D_fake 0.018256
[621/5000][195/535][63877] Loss_D: -0.022838 Loss_G: 0.027633 Loss_D_real: -0.032997 Loss_D_fake -0.010159
[621/5000][200/535][63878] Loss_D: -0.025286 Loss_G: 0.003782 Loss_D_real: -0.006232 Loss_D_fake 0.019054
[621/5000][205/535][63879] Loss_D: -0.025282 Loss_G: 0.030253 Loss_D_real: -0.011979 Loss_D_fake 0.013302
[621/5000][210/535][63880] Loss_D: -0.024804 Loss_G: 0.026058 Loss_D_real: -0.019283 Loss_D_fake 0.005521
[621/5000][215/535][63881] Loss_D: -0.023608 Loss_G: 0.022491 Loss_D_real: -0.021114 Loss_D_fake 0.002494
[621/5000][220/535][63882] Loss_D: -0.025968 Loss_G: 0.021006 Loss_D_real: -0.018514 Loss_D_fake 0.007455
[621/5000][225/535][63883] Loss_D: -0.026215 Loss_G: 0.009558 Loss_D_real: -0.008355 Loss_D_fake 0.017860
[621/5000][230/535][63884] Loss_D: -0.023953 Loss_G: 0.022156 Loss_D_real: -0.026082 Loss_D_fake -0.002129
[621/5000][235/535][63885] Loss_D: -0.024842 Loss_G: 0.020827 Loss_D_real: -0.013217 Loss_D_fake 0.011625
[621/5000][240/535][63886] Loss_D: -0.024867 Loss_G: 0.013434 Loss_D_real: -0.006668 Loss_D_fake 0.018199
[621/5000][245/535][63887] Loss_D: -0.023953 Loss_G: 0.007035 Loss_D_real: -0.015847 Loss_D_fake 0.008106
[621/5000][250/535][63888] Loss_D: -0.025031 Loss_G: 0.015819 Loss_D_real: -0.013458 Loss_D_fake 0.011573
[621/5000][255/535][63889] Loss_D: -0.025088 Loss_G: 0.004883 Loss_D_real: 0.004344 Loss_D_fake 0.029432
[621/5000][260/535][63890] Loss_D: -0.025257 Loss_G: 0.008837 Loss_D_real: -0.010405 Loss_D_fake 0.014852
[621/5000][265/535][63891] Loss_D: -0.024734 Loss_G: 0.027589 Loss_D_real: -0.023821 Loss_D_fake 0.000913
[621/5000][270/535][63892] Loss_D: -0.024329 Loss_G: -0.007161 Loss_D_real: -0.007619 Loss_D_fake 0.016710
[621/5000][275/535][63893] Loss_D: -0.024202 Loss_G: 0.006655 Loss_D_real: -0.013231 Loss_D_fake 0.010971
[621/5000][280/535][63894] Loss_D: -0.024681 Loss_G: 0.013210 Loss_D_real: -0.023426 Loss_D_fake 0.001255
[621/5000][285/535][63895] Loss_D: -0.024840 Loss_G: 0.030730 Loss_D_real: -0.027634 Loss_D_fake -0.002794
[621/5000][290/535][63896] Loss_D: -0.025390 Loss_G: 0.007071 Loss_D_real: -0.013983 Loss_D_fake 0.011407
[621/5000][295/535][63897] Loss_D: -0.024275 Loss_G: 0.032639 Loss_D_real: -0.024892 Loss_D_fake -0.000617
[621/5000][300/535][63898] Loss_D: -0.024445 Loss_G: 0.012420 Loss_D_real: -0.016832 Loss_D_fake 0.007613
[621/5000][305/535][63899] Loss_D: -0.024512 Loss_G: 0.034132 Loss_D_real: -0.025708 Loss_D_fake -0.001196
[621/5000][310/535][63900] Loss_D: -0.024570 Loss_G: -0.006715 Loss_D_real: 0.003657 Loss_D_fake 0.028228
[621/5000][315/535][63901] Loss_D: -0.023429 Loss_G: 0.021111 Loss_D_real: -0.022641 Loss_D_fake 0.000788
[621/5000][320/535][63902] Loss_D: -0.024963 Loss_G: 0.013662 Loss_D_real: 0.001740 Loss_D_fake 0.026704
[621/5000][325/535][63903] Loss_D: -0.024512 Loss_G: 0.013490 Loss_D_real: -0.024673 Loss_D_fake -0.000161
[621/5000][330/535][63904] Loss_D: -0.024081 Loss_G: 0.008439 Loss_D_real: -0.013508 Loss_D_fake 0.010573
[621/5000][335/535][63905] Loss_D: -0.025315 Loss_G: 0.012531 Loss_D_real: -0.013606 Loss_D_fake 0.011710
[621/5000][340/535][63906] Loss_D: -0.024623 Loss_G: -0.009489 Loss_D_real: -0.004214 Loss_D_fake 0.020409
[621/5000][345/535][63907] Loss_D: -0.024373 Loss_G: 0.024046 Loss_D_real: -0.032177 Loss_D_fake -0.007805
[621/5000][350/535][63908] Loss_D: -0.023789 Loss_G: 0.010721 Loss_D_real: 0.001698 Loss_D_fake 0.025488
[621/5000][355/535][63909] Loss_D: -0.024727 Loss_G: -0.004390 Loss_D_real: -0.000426 Loss_D_fake 0.024301
[621/5000][360/535][63910] Loss_D: -0.024259 Loss_G: 0.018329 Loss_D_real: -0.016529 Loss_D_fake 0.007730
[621/5000][365/535][63911] Loss_D: -0.024401 Loss_G: 0.025683 Loss_D_real: -0.023496 Loss_D_fake 0.000905
[621/5000][370/535][63912] Loss_D: -0.026408 Loss_G: 0.020587 Loss_D_real: -0.018409 Loss_D_fake 0.007999
[621/5000][375/535][63913] Loss_D: -0.024794 Loss_G: 0.017763 Loss_D_real: -0.027184 Loss_D_fake -0.002390
[621/5000][380/535][63914] Loss_D: -0.026028 Loss_G: 0.012600 Loss_D_real: -0.011044 Loss_D_fake 0.014983
[621/5000][385/535][63915] Loss_D: -0.025870 Loss_G: 0.019475 Loss_D_real: -0.025020 Loss_D_fake 0.000850
[621/5000][390/535][63916] Loss_D: -0.022920 Loss_G: 0.028308 Loss_D_real: -0.014741 Loss_D_fake 0.008179
[621/5000][395/535][63917] Loss_D: -0.025063 Loss_G: 0.014064 Loss_D_real: -0.018330 Loss_D_fake 0.006733
[621/5000][400/535][63918] Loss_D: -0.023412 Loss_G: 0.022620 Loss_D_real: -0.029868 Loss_D_fake -0.006456
[621/5000][405/535][63919] Loss_D: -0.024400 Loss_G: 0.009477 Loss_D_real: -0.008364 Loss_D_fake 0.016036
[621/5000][410/535][63920] Loss_D: -0.024650 Loss_G: 0.021720 Loss_D_real: -0.016338 Loss_D_fake 0.008313
[621/5000][415/535][63921] Loss_D: -0.025167 Loss_G: 0.003121 Loss_D_real: -0.002449 Loss_D_fake 0.022718
[621/5000][420/535][63922] Loss_D: -0.025407 Loss_G: 0.021601 Loss_D_real: -0.019413 Loss_D_fake 0.005994
[621/5000][425/535][63923] Loss_D: -0.024863 Loss_G: -0.002463 Loss_D_real: -0.000899 Loss_D_fake 0.023964
[621/5000][430/535][63924] Loss_D: -0.023061 Loss_G: 0.033398 Loss_D_real: -0.028408 Loss_D_fake -0.005347
[621/5000][435/535][63925] Loss_D: -0.024704 Loss_G: 0.005991 Loss_D_real: -0.007454 Loss_D_fake 0.017250
[621/5000][440/535][63926] Loss_D: -0.021166 Loss_G: 0.025425 Loss_D_real: -0.034989 Loss_D_fake -0.013824
[621/5000][445/535][63927] Loss_D: -0.024225 Loss_G: 0.007302 Loss_D_real: -0.006696 Loss_D_fake 0.017529
[621/5000][450/535][63928] Loss_D: -0.023522 Loss_G: 0.018449 Loss_D_real: -0.011580 Loss_D_fake 0.011942
[621/5000][455/535][63929] Loss_D: -0.024879 Loss_G: 0.005058 Loss_D_real: -0.001269 Loss_D_fake 0.023610
[621/5000][460/535][63930] Loss_D: -0.023890 Loss_G: 0.022255 Loss_D_real: -0.028294 Loss_D_fake -0.004404
[621/5000][465/535][63931] Loss_D: -0.024761 Loss_G: 0.018397 Loss_D_real: -0.020665 Loss_D_fake 0.004096
[621/5000][470/535][63932] Loss_D: -0.024362 Loss_G: 0.017686 Loss_D_real: -0.022220 Loss_D_fake 0.002142
[621/5000][475/535][63933] Loss_D: -0.024704 Loss_G: 0.020885 Loss_D_real: -0.020208 Loss_D_fake 0.004496
[621/5000][480/535][63934] Loss_D: -0.023149 Loss_G: 0.030556 Loss_D_real: -0.013313 Loss_D_fake 0.009836
[621/5000][485/535][63935] Loss_D: -0.024977 Loss_G: 0.006453 Loss_D_real: -0.016559 Loss_D_fake 0.008418
[621/5000][490/535][63936] Loss_D: -0.025229 Loss_G: 0.017029 Loss_D_real: -0.016010 Loss_D_fake 0.009219
[621/5000][495/535][63937] Loss_D: -0.025278 Loss_G: 0.017951 Loss_D_real: -0.014923 Loss_D_fake 0.010355
[621/5000][500/535][63938] Loss_D: -0.025683 Loss_G: 0.008983 Loss_D_real: -0.009604 Loss_D_fake 0.016079
[621/5000][505/535][63939] Loss_D: -0.025118 Loss_G: 0.024962 Loss_D_real: -0.019174 Loss_D_fake 0.005944
[621/5000][510/535][63940] Loss_D: -0.025159 Loss_G: 0.013468 Loss_D_real: -0.013436 Loss_D_fake 0.011724
[621/5000][515/535][63941] Loss_D: -0.024650 Loss_G: 0.013470 Loss_D_real: -0.020196 Loss_D_fake 0.004454
[621/5000][520/535][63942] Loss_D: -0.023965 Loss_G: 0.012200 Loss_D_real: -0.014771 Loss_D_fake 0.009194
[621/5000][525/535][63943] Loss_D: -0.024189 Loss_G: 0.012407 Loss_D_real: -0.012981 Loss_D_fake 0.011208
[621/5000][530/535][63944] Loss_D: -0.024118 Loss_G: 0.027932 Loss_D_real: -0.024565 Loss_D_fake -0.000447
[621/5000][535/535][63945] Loss_D: -0.024950 Loss_G: 0.027859 Loss_D_real: -0.026615 Loss_D_fake -0.001665
[622/5000][5/535][63946] Loss_D: -0.024364 Loss_G: 0.032796 Loss_D_real: -0.023738 Loss_D_fake 0.000626
[622/5000][10/535][63947] Loss_D: -0.024706 Loss_G: 0.009142 Loss_D_real: -0.004951 Loss_D_fake 0.019755
[622/5000][15/535][63948] Loss_D: -0.023996 Loss_G: 0.017128 Loss_D_real: -0.017557 Loss_D_fake 0.006439
[622/5000][20/535][63949] Loss_D: -0.025912 Loss_G: 0.003932 Loss_D_real: -0.005518 Loss_D_fake 0.020394
[622/5000][25/535][63950] Loss_D: -0.025746 Loss_G: 0.022911 Loss_D_real: -0.022090 Loss_D_fake 0.003657
[622/5000][30/535][63951] Loss_D: -0.024454 Loss_G: -0.006469 Loss_D_real: -0.000163 Loss_D_fake 0.024292
[622/5000][35/535][63952] Loss_D: -0.024868 Loss_G: 0.019259 Loss_D_real: -0.017397 Loss_D_fake 0.007470
[622/5000][40/535][63953] Loss_D: -0.023863 Loss_G: 0.007263 Loss_D_real: -0.009030 Loss_D_fake 0.014833
[622/5000][45/535][63954] Loss_D: -0.025770 Loss_G: 0.005835 Loss_D_real: -0.009120 Loss_D_fake 0.016650
[622/5000][50/535][63955] Loss_D: -0.024555 Loss_G: 0.001495 Loss_D_real: -0.010820 Loss_D_fake 0.013735
[622/5000][55/535][63956] Loss_D: -0.024336 Loss_G: 0.009800 Loss_D_real: -0.019063 Loss_D_fake 0.005272
[622/5000][60/535][63957] Loss_D: -0.024587 Loss_G: 0.018645 Loss_D_real: -0.014998 Loss_D_fake 0.009590
[622/5000][65/535][63958] Loss_D: -0.025321 Loss_G: 0.021805 Loss_D_real: -0.017965 Loss_D_fake 0.007356
[622/5000][70/535][63959] Loss_D: -0.023449 Loss_G: 0.036858 Loss_D_real: -0.023978 Loss_D_fake -0.000529
[622/5000][75/535][63960] Loss_D: -0.025580 Loss_G: -0.015264 Loss_D_real: -0.003911 Loss_D_fake 0.021669
[622/5000][80/535][63961] Loss_D: -0.023156 Loss_G: 0.023166 Loss_D_real: -0.025227 Loss_D_fake -0.002071
[622/5000][85/535][63962] Loss_D: -0.024664 Loss_G: 0.028498 Loss_D_real: -0.026540 Loss_D_fake -0.001875
[622/5000][90/535][63963] Loss_D: -0.024809 Loss_G: 0.018978 Loss_D_real: -0.013287 Loss_D_fake 0.011522
[622/5000][95/535][63964] Loss_D: -0.025328 Loss_G: 0.009790 Loss_D_real: -0.003486 Loss_D_fake 0.021842
[622/5000][100/535][63965] Loss_D: -0.024719 Loss_G: 0.031664 Loss_D_real: -0.028734 Loss_D_fake -0.004015
[622/5000][105/535][63966] Loss_D: -0.024352 Loss_G: 0.020166 Loss_D_real: -0.021226 Loss_D_fake 0.003125
[622/5000][110/535][63967] Loss_D: -0.024949 Loss_G: 0.024122 Loss_D_real: -0.021121 Loss_D_fake 0.003828
[622/5000][115/535][63968] Loss_D: -0.026627 Loss_G: 0.020909 Loss_D_real: -0.021396 Loss_D_fake 0.005231
[622/5000][120/535][63969] Loss_D: -0.025519 Loss_G: 0.015439 Loss_D_real: -0.021310 Loss_D_fake 0.004209
[622/5000][125/535][63970] Loss_D: -0.026501 Loss_G: 0.017951 Loss_D_real: -0.018040 Loss_D_fake 0.008461
[622/5000][130/535][63971] Loss_D: -0.025150 Loss_G: -0.013233 Loss_D_real: -0.005967 Loss_D_fake 0.019183
[622/5000][135/535][63972] Loss_D: -0.023349 Loss_G: 0.023623 Loss_D_real: -0.016860 Loss_D_fake 0.006489
[622/5000][140/535][63973] Loss_D: -0.024166 Loss_G: 0.029492 Loss_D_real: -0.024339 Loss_D_fake -0.000173
[622/5000][145/535][63974] Loss_D: -0.024573 Loss_G: -0.003266 Loss_D_real: -0.004484 Loss_D_fake 0.020089
[622/5000][150/535][63975] Loss_D: -0.024274 Loss_G: 0.028368 Loss_D_real: -0.029481 Loss_D_fake -0.005207
[622/5000][155/535][63976] Loss_D: -0.025826 Loss_G: 0.013126 Loss_D_real: -0.000578 Loss_D_fake 0.025249
[622/5000][160/535][63977] Loss_D: -0.025600 Loss_G: 0.008416 Loss_D_real: -0.012149 Loss_D_fake 0.013451
[622/5000][165/535][63978] Loss_D: -0.024799 Loss_G: 0.022680 Loss_D_real: -0.021907 Loss_D_fake 0.002892
[622/5000][170/535][63979] Loss_D: -0.025515 Loss_G: 0.002555 Loss_D_real: -0.002965 Loss_D_fake 0.022551
[622/5000][175/535][63980] Loss_D: -0.023980 Loss_G: 0.031940 Loss_D_real: -0.025312 Loss_D_fake -0.001332
[622/5000][180/535][63981] Loss_D: -0.023602 Loss_G: 0.009946 Loss_D_real: -0.013610 Loss_D_fake 0.009993
[622/5000][185/535][63982] Loss_D: -0.024122 Loss_G: -0.008262 Loss_D_real: 0.006074 Loss_D_fake 0.030196
[622/5000][190/535][63983] Loss_D: -0.024921 Loss_G: 0.025074 Loss_D_real: -0.016988 Loss_D_fake 0.007933
[622/5000][195/535][63984] Loss_D: -0.024833 Loss_G: 0.031193 Loss_D_real: -0.015249 Loss_D_fake 0.009584
[622/5000][200/535][63985] Loss_D: -0.024537 Loss_G: -0.009472 Loss_D_real: 0.006303 Loss_D_fake 0.030840
[622/5000][205/535][63986] Loss_D: -0.024741 Loss_G: 0.022786 Loss_D_real: -0.022235 Loss_D_fake 0.002506
[622/5000][210/535][63987] Loss_D: -0.024162 Loss_G: 0.007882 Loss_D_real: -0.002199 Loss_D_fake 0.021963
[622/5000][215/535][63988] Loss_D: -0.024039 Loss_G: 0.021979 Loss_D_real: -0.011946 Loss_D_fake 0.012092
[622/5000][220/535][63989] Loss_D: -0.025452 Loss_G: 0.000993 Loss_D_real: -0.002863 Loss_D_fake 0.022590
[622/5000][225/535][63990] Loss_D: -0.024233 Loss_G: 0.019858 Loss_D_real: -0.028862 Loss_D_fake -0.004629
[622/5000][230/535][63991] Loss_D: -0.024667 Loss_G: 0.035340 Loss_D_real: -0.024111 Loss_D_fake 0.000557
[622/5000][235/535][63992] Loss_D: -0.025271 Loss_G: 0.015091 Loss_D_real: -0.004098 Loss_D_fake 0.021174
[622/5000][240/535][63993] Loss_D: -0.024437 Loss_G: 0.007721 Loss_D_real: -0.012073 Loss_D_fake 0.012364
[622/5000][245/535][63994] Loss_D: -0.024731 Loss_G: 0.015099 Loss_D_real: -0.014665 Loss_D_fake 0.010066
[622/5000][250/535][63995] Loss_D: -0.023880 Loss_G: 0.027927 Loss_D_real: -0.030643 Loss_D_fake -0.006763
[622/5000][255/535][63996] Loss_D: -0.025321 Loss_G: 0.008232 Loss_D_real: -0.009919 Loss_D_fake 0.015403
[622/5000][260/535][63997] Loss_D: -0.024159 Loss_G: 0.013514 Loss_D_real: -0.015717 Loss_D_fake 0.008442
[622/5000][265/535][63998] Loss_D: -0.025065 Loss_G: 0.002834 Loss_D_real: -0.018876 Loss_D_fake 0.006189
[622/5000][270/535][63999] Loss_D: -0.024724 Loss_G: 0.013180 Loss_D_real: -0.016923 Loss_D_fake 0.007801
[622/5000][275/535][64000] Loss_D: -0.025262 Loss_G: 0.022115 Loss_D_real: -0.022603 Loss_D_fake 0.002659
[622/5000][375/535][64001] Loss_D: -0.027044 Loss_G: -0.005881 Loss_D_real: 0.009059 Loss_D_fake 0.036103
[622/5000][380/535][64002] Loss_D: -0.024917 Loss_G: 0.020588 Loss_D_real: -0.017896 Loss_D_fake 0.007022
[622/5000][385/535][64003] Loss_D: -0.022467 Loss_G: 0.023199 Loss_D_real: -0.010553 Loss_D_fake 0.011914
[622/5000][390/535][64004] Loss_D: -0.023194 Loss_G: 0.014427 Loss_D_real: -0.015404 Loss_D_fake 0.007789
[622/5000][395/535][64005] Loss_D: -0.023499 Loss_G: -0.002791 Loss_D_real: 0.002732 Loss_D_fake 0.026231
[622/5000][400/535][64006] Loss_D: -0.023904 Loss_G: 0.022386 Loss_D_real: -0.021774 Loss_D_fake 0.002130
[622/5000][405/535][64007] Loss_D: -0.024062 Loss_G: 0.006258 Loss_D_real: -0.002425 Loss_D_fake 0.021637
[622/5000][410/535][64008] Loss_D: -0.023458 Loss_G: 0.018469 Loss_D_real: -0.017722 Loss_D_fake 0.005736
[622/5000][415/535][64009] Loss_D: -0.023883 Loss_G: 0.029798 Loss_D_real: -0.011725 Loss_D_fake 0.012158
[622/5000][420/535][64010] Loss_D: -0.026223 Loss_G: 0.015378 Loss_D_real: -0.016891 Loss_D_fake 0.009332
[622/5000][425/535][64011] Loss_D: -0.024094 Loss_G: 0.029346 Loss_D_real: -0.026737 Loss_D_fake -0.002643
[622/5000][430/535][64012] Loss_D: -0.025360 Loss_G: -0.000344 Loss_D_real: -0.018483 Loss_D_fake 0.006877
[622/5000][435/535][64013] Loss_D: -0.023754 Loss_G: 0.027873 Loss_D_real: -0.022071 Loss_D_fake 0.001683
[622/5000][440/535][64014] Loss_D: -0.023659 Loss_G: 0.023881 Loss_D_real: -0.021842 Loss_D_fake 0.001817
[622/5000][445/535][64015] Loss_D: -0.023993 Loss_G: 0.014866 Loss_D_real: -0.025453 Loss_D_fake -0.001461
[622/5000][450/535][64016] Loss_D: -0.023638 Loss_G: 0.022415 Loss_D_real: -0.019353 Loss_D_fake 0.004284
[622/5000][455/535][64017] Loss_D: -0.023845 Loss_G: 0.018259 Loss_D_real: -0.019452 Loss_D_fake 0.004393
[622/5000][460/535][64018] Loss_D: -0.024463 Loss_G: 0.000395 Loss_D_real: -0.004122 Loss_D_fake 0.020341
[622/5000][465/535][64019] Loss_D: -0.023684 Loss_G: 0.029189 Loss_D_real: -0.019018 Loss_D_fake 0.004666
[622/5000][470/535][64020] Loss_D: -0.023988 Loss_G: 0.027246 Loss_D_real: -0.023904 Loss_D_fake 0.000084
[622/5000][475/535][64021] Loss_D: -0.024896 Loss_G: 0.031990 Loss_D_real: -0.027546 Loss_D_fake -0.002650
[622/5000][480/535][64022] Loss_D: -0.025801 Loss_G: 0.001841 Loss_D_real: -0.009798 Loss_D_fake 0.016004
[622/5000][485/535][64023] Loss_D: -0.023403 Loss_G: 0.031798 Loss_D_real: -0.029487 Loss_D_fake -0.006085
[622/5000][490/535][64024] Loss_D: -0.023817 Loss_G: 0.008045 Loss_D_real: -0.007419 Loss_D_fake 0.016398
[622/5000][495/535][64025] Loss_D: -0.024326 Loss_G: 0.006373 Loss_D_real: -0.012633 Loss_D_fake 0.011694
[622/5000][500/535][64026] Loss_D: -0.024969 Loss_G: 0.005007 Loss_D_real: -0.007022 Loss_D_fake 0.017947
[622/5000][505/535][64027] Loss_D: -0.024481 Loss_G: 0.018147 Loss_D_real: -0.009768 Loss_D_fake 0.014713
[622/5000][510/535][64028] Loss_D: -0.024433 Loss_G: 0.012405 Loss_D_real: -0.014569 Loss_D_fake 0.009864
[622/5000][515/535][64029] Loss_D: -0.024632 Loss_G: -0.017731 Loss_D_real: -0.006068 Loss_D_fake 0.018564
[622/5000][520/535][64030] Loss_D: -0.024687 Loss_G: 0.021110 Loss_D_real: -0.020084 Loss_D_fake 0.004604
[622/5000][525/535][64031] Loss_D: -0.024229 Loss_G: -0.000158 Loss_D_real: -0.005357 Loss_D_fake 0.018872
[622/5000][530/535][64032] Loss_D: -0.023305 Loss_G: 0.008979 Loss_D_real: -0.009192 Loss_D_fake 0.014112
[622/5000][535/535][64033] Loss_D: -0.024107 Loss_G: 0.040332 Loss_D_real: -0.029019 Loss_D_fake -0.004912
[623/5000][5/535][64034] Loss_D: -0.025521 Loss_G: 0.016302 Loss_D_real: -0.008421 Loss_D_fake 0.017101
[623/5000][10/535][64035] Loss_D: -0.024107 Loss_G: 0.024754 Loss_D_real: -0.024056 Loss_D_fake 0.000051
[623/5000][15/535][64036] Loss_D: -0.026471 Loss_G: 0.022979 Loss_D_real: -0.019860 Loss_D_fake 0.006611
[623/5000][20/535][64037] Loss_D: -0.024559 Loss_G: 0.027247 Loss_D_real: -0.015743 Loss_D_fake 0.008816
[623/5000][25/535][64038] Loss_D: -0.025497 Loss_G: -0.000147 Loss_D_real: -0.005486 Loss_D_fake 0.020010
[623/5000][30/535][64039] Loss_D: -0.022384 Loss_G: 0.020060 Loss_D_real: -0.020943 Loss_D_fake 0.001440
[623/5000][35/535][64040] Loss_D: -0.022873 Loss_G: 0.021625 Loss_D_real: -0.028096 Loss_D_fake -0.005224
[623/5000][40/535][64041] Loss_D: -0.024624 Loss_G: 0.018268 Loss_D_real: -0.018765 Loss_D_fake 0.005859
[623/5000][45/535][64042] Loss_D: -0.024506 Loss_G: 0.018026 Loss_D_real: -0.018848 Loss_D_fake 0.005658
[623/5000][50/535][64043] Loss_D: -0.024654 Loss_G: 0.032848 Loss_D_real: -0.029011 Loss_D_fake -0.004357
[623/5000][55/535][64044] Loss_D: -0.025664 Loss_G: 0.017643 Loss_D_real: -0.019812 Loss_D_fake 0.005852
[623/5000][60/535][64045] Loss_D: -0.024638 Loss_G: 0.027705 Loss_D_real: -0.018310 Loss_D_fake 0.006328
[623/5000][65/535][64046] Loss_D: -0.023418 Loss_G: -0.020994 Loss_D_real: 0.002694 Loss_D_fake 0.026112
[623/5000][70/535][64047] Loss_D: -0.023249 Loss_G: 0.001917 Loss_D_real: -0.013532 Loss_D_fake 0.009717
[623/5000][75/535][64048] Loss_D: -0.023570 Loss_G: 0.004697 Loss_D_real: -0.016801 Loss_D_fake 0.006769
[623/5000][80/535][64049] Loss_D: -0.023645 Loss_G: 0.015531 Loss_D_real: -0.015951 Loss_D_fake 0.007693
[623/5000][85/535][64050] Loss_D: -0.025780 Loss_G: -0.002219 Loss_D_real: 0.002630 Loss_D_fake 0.028410
[623/5000][90/535][64051] Loss_D: -0.026488 Loss_G: 0.027261 Loss_D_real: -0.012989 Loss_D_fake 0.013500
[623/5000][95/535][64052] Loss_D: -0.024783 Loss_G: 0.000594 Loss_D_real: -0.002909 Loss_D_fake 0.021874
[623/5000][100/535][64053] Loss_D: -0.024823 Loss_G: 0.019449 Loss_D_real: -0.019900 Loss_D_fake 0.004922
[623/5000][105/535][64054] Loss_D: -0.024493 Loss_G: 0.016013 Loss_D_real: -0.022461 Loss_D_fake 0.002031
[623/5000][110/535][64055] Loss_D: -0.025085 Loss_G: 0.008244 Loss_D_real: -0.012286 Loss_D_fake 0.012799
[623/5000][115/535][64056] Loss_D: -0.024524 Loss_G: 0.008264 Loss_D_real: -0.009454 Loss_D_fake 0.015070
[623/5000][120/535][64057] Loss_D: -0.025157 Loss_G: 0.033076 Loss_D_real: -0.020930 Loss_D_fake 0.004227
[623/5000][125/535][64058] Loss_D: -0.024113 Loss_G: 0.027197 Loss_D_real: -0.012476 Loss_D_fake 0.011637
[623/5000][130/535][64059] Loss_D: -0.024882 Loss_G: 0.018513 Loss_D_real: -0.017490 Loss_D_fake 0.007392
[623/5000][135/535][64060] Loss_D: -0.024673 Loss_G: 0.000526 Loss_D_real: -0.014248 Loss_D_fake 0.010424
[623/5000][140/535][64061] Loss_D: -0.025458 Loss_G: 0.006246 Loss_D_real: -0.006308 Loss_D_fake 0.019151
[623/5000][145/535][64062] Loss_D: -0.024474 Loss_G: 0.002715 Loss_D_real: -0.010821 Loss_D_fake 0.013653
[623/5000][150/535][64063] Loss_D: -0.026419 Loss_G: 0.007553 Loss_D_real: -0.006345 Loss_D_fake 0.020074
[623/5000][155/535][64064] Loss_D: -0.024111 Loss_G: 0.020979 Loss_D_real: -0.020626 Loss_D_fake 0.003485
[623/5000][160/535][64065] Loss_D: -0.024540 Loss_G: 0.020965 Loss_D_real: -0.026223 Loss_D_fake -0.001684
[623/5000][165/535][64066] Loss_D: -0.023727 Loss_G: 0.031598 Loss_D_real: -0.029796 Loss_D_fake -0.006068
[623/5000][170/535][64067] Loss_D: -0.024492 Loss_G: -0.009106 Loss_D_real: 0.003690 Loss_D_fake 0.028182
[623/5000][175/535][64068] Loss_D: -0.023386 Loss_G: 0.025895 Loss_D_real: -0.017634 Loss_D_fake 0.005752
[623/5000][180/535][64069] Loss_D: -0.024864 Loss_G: 0.020017 Loss_D_real: -0.019856 Loss_D_fake 0.005008
[623/5000][185/535][64070] Loss_D: -0.024784 Loss_G: 0.016352 Loss_D_real: -0.016844 Loss_D_fake 0.007940
[623/5000][190/535][64071] Loss_D: -0.023990 Loss_G: 0.030550 Loss_D_real: -0.024466 Loss_D_fake -0.000476
[623/5000][195/535][64072] Loss_D: -0.023981 Loss_G: -0.001259 Loss_D_real: -0.000090 Loss_D_fake 0.023891
[623/5000][200/535][64073] Loss_D: -0.023442 Loss_G: 0.015015 Loss_D_real: -0.017922 Loss_D_fake 0.005521
[623/5000][205/535][64074] Loss_D: -0.025330 Loss_G: 0.001133 Loss_D_real: -0.005559 Loss_D_fake 0.019770
[623/5000][210/535][64075] Loss_D: -0.023938 Loss_G: 0.025749 Loss_D_real: -0.025086 Loss_D_fake -0.001148
[623/5000][215/535][64076] Loss_D: -0.024756 Loss_G: 0.024460 Loss_D_real: -0.030613 Loss_D_fake -0.005857
[623/5000][220/535][64077] Loss_D: -0.024356 Loss_G: 0.026884 Loss_D_real: -0.027835 Loss_D_fake -0.003478
[623/5000][225/535][64078] Loss_D: -0.026082 Loss_G: 0.024476 Loss_D_real: -0.026987 Loss_D_fake -0.000905
[623/5000][230/535][64079] Loss_D: -0.025570 Loss_G: 0.003769 Loss_D_real: -0.014168 Loss_D_fake 0.011402
[623/5000][235/535][64080] Loss_D: -0.023758 Loss_G: 0.030739 Loss_D_real: -0.022984 Loss_D_fake 0.000774
[623/5000][240/535][64081] Loss_D: -0.024541 Loss_G: 0.027961 Loss_D_real: -0.026135 Loss_D_fake -0.001594
[623/5000][245/535][64082] Loss_D: -0.023542 Loss_G: 0.034482 Loss_D_real: -0.028001 Loss_D_fake -0.004459
[623/5000][250/535][64083] Loss_D: -0.023478 Loss_G: -0.005673 Loss_D_real: -0.006447 Loss_D_fake 0.017031
[623/5000][255/535][64084] Loss_D: -0.023778 Loss_G: -0.005248 Loss_D_real: 0.003179 Loss_D_fake 0.026957
[623/5000][260/535][64085] Loss_D: -0.022723 Loss_G: 0.030334 Loss_D_real: -0.026006 Loss_D_fake -0.003283
[623/5000][265/535][64086] Loss_D: -0.024740 Loss_G: 0.009213 Loss_D_real: -0.013821 Loss_D_fake 0.010918
[623/5000][270/535][64087] Loss_D: -0.025649 Loss_G: 0.033920 Loss_D_real: -0.021372 Loss_D_fake 0.004277
[623/5000][275/535][64088] Loss_D: -0.024887 Loss_G: 0.014000 Loss_D_real: -0.013920 Loss_D_fake 0.010967
[623/5000][280/535][64089] Loss_D: -0.026209 Loss_G: 0.014692 Loss_D_real: -0.016770 Loss_D_fake 0.009439
[623/5000][285/535][64090] Loss_D: -0.022758 Loss_G: 0.026150 Loss_D_real: -0.025266 Loss_D_fake -0.002508
[623/5000][290/535][64091] Loss_D: -0.024363 Loss_G: 0.032101 Loss_D_real: -0.026627 Loss_D_fake -0.002265
[623/5000][295/535][64092] Loss_D: -0.024197 Loss_G: -0.012486 Loss_D_real: 0.001421 Loss_D_fake 0.025617
[623/5000][300/535][64093] Loss_D: -0.022999 Loss_G: 0.013172 Loss_D_real: -0.002277 Loss_D_fake 0.020722
[623/5000][305/535][64094] Loss_D: -0.024808 Loss_G: 0.022987 Loss_D_real: -0.023830 Loss_D_fake 0.000978
[623/5000][310/535][64095] Loss_D: -0.024494 Loss_G: 0.021506 Loss_D_real: -0.012406 Loss_D_fake 0.012088
[623/5000][315/535][64096] Loss_D: -0.025458 Loss_G: 0.025573 Loss_D_real: -0.021918 Loss_D_fake 0.003540
[623/5000][320/535][64097] Loss_D: -0.024640 Loss_G: -0.001772 Loss_D_real: -0.001867 Loss_D_fake 0.022773
[623/5000][325/535][64098] Loss_D: -0.023867 Loss_G: -0.002227 Loss_D_real: 0.004549 Loss_D_fake 0.028416
[623/5000][330/535][64099] Loss_D: -0.024644 Loss_G: 0.005110 Loss_D_real: -0.017420 Loss_D_fake 0.007225
[623/5000][335/535][64100] Loss_D: -0.024369 Loss_G: 0.028398 Loss_D_real: -0.013841 Loss_D_fake 0.010527
[623/5000][340/535][64101] Loss_D: -0.024728 Loss_G: 0.028062 Loss_D_real: -0.014179 Loss_D_fake 0.010550
[623/5000][345/535][64102] Loss_D: -0.024073 Loss_G: 0.004911 Loss_D_real: -0.002858 Loss_D_fake 0.021215
[623/5000][350/535][64103] Loss_D: -0.025789 Loss_G: 0.014588 Loss_D_real: -0.014329 Loss_D_fake 0.011460
[623/5000][355/535][64104] Loss_D: -0.024955 Loss_G: 0.011047 Loss_D_real: -0.014269 Loss_D_fake 0.010687
[623/5000][360/535][64105] Loss_D: -0.023878 Loss_G: 0.014457 Loss_D_real: -0.008532 Loss_D_fake 0.015346
[623/5000][365/535][64106] Loss_D: -0.024581 Loss_G: 0.017613 Loss_D_real: -0.015666 Loss_D_fake 0.008915
[623/5000][370/535][64107] Loss_D: -0.026000 Loss_G: 0.002086 Loss_D_real: -0.010481 Loss_D_fake 0.015519
[623/5000][375/535][64108] Loss_D: -0.025594 Loss_G: 0.001260 Loss_D_real: -0.007470 Loss_D_fake 0.018125
[623/5000][380/535][64109] Loss_D: -0.024518 Loss_G: 0.010587 Loss_D_real: -0.018615 Loss_D_fake 0.005903
[623/5000][385/535][64110] Loss_D: -0.023967 Loss_G: 0.016864 Loss_D_real: -0.024484 Loss_D_fake -0.000517
[623/5000][390/535][64111] Loss_D: -0.024636 Loss_G: 0.024084 Loss_D_real: -0.020254 Loss_D_fake 0.004383
[623/5000][395/535][64112] Loss_D: -0.024859 Loss_G: 0.003476 Loss_D_real: 0.001706 Loss_D_fake 0.026565
[623/5000][400/535][64113] Loss_D: -0.024094 Loss_G: -0.008659 Loss_D_real: -0.000881 Loss_D_fake 0.023213
[623/5000][405/535][64114] Loss_D: -0.023815 Loss_G: 0.014774 Loss_D_real: -0.010845 Loss_D_fake 0.012970
[623/5000][410/535][64115] Loss_D: -0.025811 Loss_G: 0.028067 Loss_D_real: -0.020819 Loss_D_fake 0.004991
[623/5000][415/535][64116] Loss_D: -0.025103 Loss_G: 0.014870 Loss_D_real: -0.020447 Loss_D_fake 0.004655
[623/5000][420/535][64117] Loss_D: -0.025300 Loss_G: 0.000455 Loss_D_real: -0.006893 Loss_D_fake 0.018406
[623/5000][425/535][64118] Loss_D: -0.025668 Loss_G: 0.022271 Loss_D_real: -0.021729 Loss_D_fake 0.003939
[623/5000][430/535][64119] Loss_D: -0.025665 Loss_G: 0.023865 Loss_D_real: -0.020642 Loss_D_fake 0.005023
[623/5000][435/535][64120] Loss_D: -0.024923 Loss_G: -0.003584 Loss_D_real: -0.009795 Loss_D_fake 0.015127
[623/5000][440/535][64121] Loss_D: -0.024678 Loss_G: 0.019008 Loss_D_real: -0.028207 Loss_D_fake -0.003529
[623/5000][445/535][64122] Loss_D: -0.024269 Loss_G: 0.039014 Loss_D_real: -0.031499 Loss_D_fake -0.007231
[623/5000][450/535][64123] Loss_D: -0.023342 Loss_G: 0.015205 Loss_D_real: -0.012646 Loss_D_fake 0.010696
[623/5000][455/535][64124] Loss_D: -0.024242 Loss_G: 0.016459 Loss_D_real: -0.029768 Loss_D_fake -0.005526
[623/5000][460/535][64125] Loss_D: -0.023005 Loss_G: -0.005832 Loss_D_real: 0.018631 Loss_D_fake 0.041636
[623/5000][465/535][64126] Loss_D: -0.025296 Loss_G: 0.024043 Loss_D_real: -0.023825 Loss_D_fake 0.001470
[623/5000][470/535][64127] Loss_D: -0.025209 Loss_G: 0.010202 Loss_D_real: -0.008778 Loss_D_fake 0.016431
[623/5000][475/535][64128] Loss_D: -0.023822 Loss_G: 0.024205 Loss_D_real: -0.024024 Loss_D_fake -0.000202
[623/5000][480/535][64129] Loss_D: -0.025503 Loss_G: 0.002478 Loss_D_real: -0.009123 Loss_D_fake 0.016380
[623/5000][485/535][64130] Loss_D: -0.023847 Loss_G: 0.024526 Loss_D_real: -0.017636 Loss_D_fake 0.006212
[623/5000][490/535][64131] Loss_D: -0.024834 Loss_G: 0.015226 Loss_D_real: -0.019272 Loss_D_fake 0.005563
[623/5000][495/535][64132] Loss_D: -0.023637 Loss_G: 0.022836 Loss_D_real: -0.021393 Loss_D_fake 0.002244
[623/5000][500/535][64133] Loss_D: -0.025902 Loss_G: 0.018430 Loss_D_real: -0.009752 Loss_D_fake 0.016150
[623/5000][505/535][64134] Loss_D: -0.023999 Loss_G: 0.032401 Loss_D_real: -0.031426 Loss_D_fake -0.007427
[623/5000][510/535][64135] Loss_D: -0.024570 Loss_G: 0.019020 Loss_D_real: -0.020224 Loss_D_fake 0.004346
[623/5000][515/535][64136] Loss_D: -0.025001 Loss_G: 0.006788 Loss_D_real: -0.019740 Loss_D_fake 0.005261
[623/5000][520/535][64137] Loss_D: -0.023157 Loss_G: 0.023709 Loss_D_real: -0.023421 Loss_D_fake -0.000264
[623/5000][525/535][64138] Loss_D: -0.023793 Loss_G: -0.004824 Loss_D_real: -0.004588 Loss_D_fake 0.019205
[623/5000][530/535][64139] Loss_D: -0.025360 Loss_G: 0.009686 Loss_D_real: -0.019488 Loss_D_fake 0.005872
[623/5000][535/535][64140] Loss_D: -0.023607 Loss_G: 0.027221 Loss_D_real: -0.008962 Loss_D_fake 0.014645
[624/5000][5/535][64141] Loss_D: -0.024835 Loss_G: 0.013104 Loss_D_real: -0.016805 Loss_D_fake 0.008030
[624/5000][10/535][64142] Loss_D: -0.024641 Loss_G: 0.027591 Loss_D_real: -0.021798 Loss_D_fake 0.002843
[624/5000][15/535][64143] Loss_D: -0.025103 Loss_G: -0.004560 Loss_D_real: 0.004277 Loss_D_fake 0.029380
[624/5000][20/535][64144] Loss_D: -0.024194 Loss_G: 0.024432 Loss_D_real: -0.028023 Loss_D_fake -0.003829
[624/5000][25/535][64145] Loss_D: -0.024418 Loss_G: 0.010619 Loss_D_real: -0.008758 Loss_D_fake 0.015660
[624/5000][30/535][64146] Loss_D: -0.023125 Loss_G: 0.003236 Loss_D_real: -0.005668 Loss_D_fake 0.017457
[624/5000][35/535][64147] Loss_D: -0.023582 Loss_G: 0.028046 Loss_D_real: -0.025313 Loss_D_fake -0.001731
[624/5000][40/535][64148] Loss_D: -0.024090 Loss_G: 0.038288 Loss_D_real: -0.025034 Loss_D_fake -0.000944
[624/5000][45/535][64149] Loss_D: -0.024138 Loss_G: 0.000098 Loss_D_real: -0.007150 Loss_D_fake 0.016987
[624/5000][50/535][64150] Loss_D: -0.024672 Loss_G: 0.014841 Loss_D_real: -0.029117 Loss_D_fake -0.004445
[624/5000][55/535][64151] Loss_D: -0.024740 Loss_G: 0.006442 Loss_D_real: -0.013582 Loss_D_fake 0.011159
[624/5000][60/535][64152] Loss_D: -0.024668 Loss_G: 0.028932 Loss_D_real: -0.018517 Loss_D_fake 0.006151
[624/5000][65/535][64153] Loss_D: -0.025076 Loss_G: 0.028268 Loss_D_real: -0.029251 Loss_D_fake -0.004174
[624/5000][70/535][64154] Loss_D: -0.025694 Loss_G: -0.004554 Loss_D_real: -0.014029 Loss_D_fake 0.011665
[624/5000][75/535][64155] Loss_D: -0.025463 Loss_G: 0.001894 Loss_D_real: -0.005017 Loss_D_fake 0.020446
[624/5000][80/535][64156] Loss_D: -0.023402 Loss_G: 0.021977 Loss_D_real: -0.021559 Loss_D_fake 0.001843
[624/5000][85/535][64157] Loss_D: -0.024702 Loss_G: 0.006824 Loss_D_real: -0.016167 Loss_D_fake 0.008535
[624/5000][90/535][64158] Loss_D: -0.023683 Loss_G: 0.029124 Loss_D_real: -0.022948 Loss_D_fake 0.000735
[624/5000][95/535][64159] Loss_D: -0.025191 Loss_G: 0.037950 Loss_D_real: -0.028400 Loss_D_fake -0.003209
[624/5000][100/535][64160] Loss_D: -0.025093 Loss_G: -0.008311 Loss_D_real: -0.005976 Loss_D_fake 0.019117
[624/5000][105/535][64161] Loss_D: -0.024434 Loss_G: 0.026994 Loss_D_real: -0.020985 Loss_D_fake 0.003449
[624/5000][110/535][64162] Loss_D: -0.023552 Loss_G: 0.005007 Loss_D_real: 0.004575 Loss_D_fake 0.028126
[624/5000][115/535][64163] Loss_D: -0.024215 Loss_G: 0.019149 Loss_D_real: -0.028570 Loss_D_fake -0.004355
[624/5000][120/535][64164] Loss_D: -0.023869 Loss_G: 0.025239 Loss_D_real: -0.024077 Loss_D_fake -0.000208
[624/5000][125/535][64165] Loss_D: -0.025559 Loss_G: -0.002813 Loss_D_real: -0.009999 Loss_D_fake 0.015559
[624/5000][130/535][64166] Loss_D: -0.024381 Loss_G: 0.006650 Loss_D_real: -0.019162 Loss_D_fake 0.005220
[624/5000][135/535][64167] Loss_D: -0.023921 Loss_G: 0.023573 Loss_D_real: -0.024322 Loss_D_fake -0.000401
[624/5000][140/535][64168] Loss_D: -0.025763 Loss_G: 0.013039 Loss_D_real: -0.007287 Loss_D_fake 0.018475
[624/5000][145/535][64169] Loss_D: -0.025204 Loss_G: 0.024908 Loss_D_real: -0.021783 Loss_D_fake 0.003422
[624/5000][150/535][64170] Loss_D: -0.026335 Loss_G: 0.007908 Loss_D_real: -0.012690 Loss_D_fake 0.013645
[624/5000][155/535][64171] Loss_D: -0.024263 Loss_G: 0.001075 Loss_D_real: -0.014164 Loss_D_fake 0.010100
[624/5000][160/535][64172] Loss_D: -0.023901 Loss_G: 0.005529 Loss_D_real: -0.001143 Loss_D_fake 0.022758
[624/5000][165/535][64173] Loss_D: -0.025243 Loss_G: 0.017235 Loss_D_real: -0.026344 Loss_D_fake -0.001101
[624/5000][170/535][64174] Loss_D: -0.023323 Loss_G: -0.012647 Loss_D_real: 0.003551 Loss_D_fake 0.026874
[624/5000][175/535][64175] Loss_D: -0.024202 Loss_G: 0.004281 Loss_D_real: -0.014084 Loss_D_fake 0.010118
[624/5000][180/535][64176] Loss_D: -0.024146 Loss_G: 0.032628 Loss_D_real: -0.022255 Loss_D_fake 0.001891
[624/5000][185/535][64177] Loss_D: -0.023517 Loss_G: 0.016973 Loss_D_real: -0.020707 Loss_D_fake 0.002811
[624/5000][190/535][64178] Loss_D: -0.024118 Loss_G: 0.016916 Loss_D_real: -0.008120 Loss_D_fake 0.015998
[624/5000][195/535][64179] Loss_D: -0.024868 Loss_G: 0.022033 Loss_D_real: -0.023680 Loss_D_fake 0.001188
[624/5000][200/535][64180] Loss_D: -0.024293 Loss_G: -0.013014 Loss_D_real: 0.002144 Loss_D_fake 0.026437
[624/5000][205/535][64181] Loss_D: -0.025094 Loss_G: 0.018960 Loss_D_real: -0.025063 Loss_D_fake 0.000031
[624/5000][210/535][64182] Loss_D: -0.025248 Loss_G: 0.013857 Loss_D_real: -0.021146 Loss_D_fake 0.004103
[624/5000][215/535][64183] Loss_D: -0.025682 Loss_G: 0.032942 Loss_D_real: -0.025473 Loss_D_fake 0.000209
[624/5000][220/535][64184] Loss_D: -0.025444 Loss_G: 0.009357 Loss_D_real: -0.009166 Loss_D_fake 0.016277
[624/5000][225/535][64185] Loss_D: -0.023355 Loss_G: 0.021048 Loss_D_real: -0.024420 Loss_D_fake -0.001065
[624/5000][230/535][64186] Loss_D: -0.024470 Loss_G: 0.022742 Loss_D_real: -0.021834 Loss_D_fake 0.002636
[624/5000][235/535][64187] Loss_D: -0.025725 Loss_G: 0.012231 Loss_D_real: -0.006139 Loss_D_fake 0.019587
[624/5000][240/535][64188] Loss_D: -0.024168 Loss_G: 0.011093 Loss_D_real: -0.014043 Loss_D_fake 0.010124
[624/5000][245/535][64189] Loss_D: -0.025297 Loss_G: 0.022589 Loss_D_real: -0.014390 Loss_D_fake 0.010907
[624/5000][250/535][64190] Loss_D: -0.023871 Loss_G: 0.030870 Loss_D_real: -0.025551 Loss_D_fake -0.001680
[624/5000][255/535][64191] Loss_D: -0.023324 Loss_G: 0.027008 Loss_D_real: -0.019287 Loss_D_fake 0.004036
[624/5000][260/535][64192] Loss_D: -0.023303 Loss_G: 0.015161 Loss_D_real: -0.009857 Loss_D_fake 0.013446
[624/5000][265/535][64193] Loss_D: -0.024515 Loss_G: -0.004675 Loss_D_real: -0.012003 Loss_D_fake 0.012512
[624/5000][270/535][64194] Loss_D: -0.023261 Loss_G: 0.009195 Loss_D_real: -0.019730 Loss_D_fake 0.003531
[624/5000][275/535][64195] Loss_D: -0.024405 Loss_G: 0.023556 Loss_D_real: -0.021438 Loss_D_fake 0.002967
[624/5000][280/535][64196] Loss_D: -0.024439 Loss_G: 0.007491 Loss_D_real: -0.007285 Loss_D_fake 0.017155
[624/5000][285/535][64197] Loss_D: -0.025844 Loss_G: 0.006235 Loss_D_real: -0.013236 Loss_D_fake 0.012607
[624/5000][290/535][64198] Loss_D: -0.024127 Loss_G: 0.030039 Loss_D_real: -0.028319 Loss_D_fake -0.004192
[624/5000][295/535][64199] Loss_D: -0.025718 Loss_G: 0.013775 Loss_D_real: -0.012114 Loss_D_fake 0.013604
[624/5000][300/535][64200] Loss_D: -0.024874 Loss_G: 0.025476 Loss_D_real: -0.027637 Loss_D_fake -0.002763
[624/5000][305/535][64201] Loss_D: -0.025553 Loss_G: 0.006045 Loss_D_real: -0.001080 Loss_D_fake 0.024473
[624/5000][310/535][64202] Loss_D: -0.023647 Loss_G: 0.036209 Loss_D_real: -0.035678 Loss_D_fake -0.012031
[624/5000][315/535][64203] Loss_D: -0.025026 Loss_G: 0.035705 Loss_D_real: -0.028377 Loss_D_fake -0.003351
[624/5000][320/535][64204] Loss_D: -0.025563 Loss_G: 0.008584 Loss_D_real: 0.001657 Loss_D_fake 0.027220
[624/5000][325/535][64205] Loss_D: -0.025130 Loss_G: 0.007631 Loss_D_real: -0.006823 Loss_D_fake 0.018307
[624/5000][330/535][64206] Loss_D: -0.022745 Loss_G: 0.029826 Loss_D_real: -0.022475 Loss_D_fake 0.000270
[624/5000][335/535][64207] Loss_D: -0.024999 Loss_G: 0.005313 Loss_D_real: -0.003388 Loss_D_fake 0.021611
[624/5000][340/535][64208] Loss_D: -0.024798 Loss_G: 0.021336 Loss_D_real: -0.019747 Loss_D_fake 0.005050
[624/5000][345/535][64209] Loss_D: -0.024494 Loss_G: 0.009842 Loss_D_real: -0.017360 Loss_D_fake 0.007134
[624/5000][350/535][64210] Loss_D: -0.024906 Loss_G: 0.013745 Loss_D_real: -0.017003 Loss_D_fake 0.007904
[624/5000][355/535][64211] Loss_D: -0.024231 Loss_G: 0.022480 Loss_D_real: -0.019651 Loss_D_fake 0.004580
[624/5000][360/535][64212] Loss_D: -0.025574 Loss_G: 0.009006 Loss_D_real: -0.004033 Loss_D_fake 0.021542
[624/5000][365/535][64213] Loss_D: -0.023321 Loss_G: 0.033424 Loss_D_real: -0.033811 Loss_D_fake -0.010489
[624/5000][370/535][64214] Loss_D: -0.024962 Loss_G: -0.004849 Loss_D_real: -0.005675 Loss_D_fake 0.019287
[624/5000][375/535][64215] Loss_D: -0.023781 Loss_G: 0.019047 Loss_D_real: -0.019384 Loss_D_fake 0.004397
[624/5000][380/535][64216] Loss_D: -0.023468 Loss_G: 0.031004 Loss_D_real: -0.029196 Loss_D_fake -0.005728
[624/5000][385/535][64217] Loss_D: -0.025245 Loss_G: 0.001101 Loss_D_real: -0.009918 Loss_D_fake 0.015327
[624/5000][390/535][64218] Loss_D: -0.024430 Loss_G: 0.012018 Loss_D_real: -0.010507 Loss_D_fake 0.013923
[624/5000][395/535][64219] Loss_D: -0.024910 Loss_G: 0.015135 Loss_D_real: -0.017842 Loss_D_fake 0.007068
[624/5000][400/535][64220] Loss_D: -0.025586 Loss_G: 0.014419 Loss_D_real: -0.016456 Loss_D_fake 0.009130
[624/5000][405/535][64221] Loss_D: -0.024549 Loss_G: -0.011531 Loss_D_real: 0.011684 Loss_D_fake 0.036233
[624/5000][410/535][64222] Loss_D: -0.025733 Loss_G: 0.020358 Loss_D_real: -0.019299 Loss_D_fake 0.006434
[624/5000][415/535][64223] Loss_D: -0.024591 Loss_G: -0.004627 Loss_D_real: -0.005593 Loss_D_fake 0.018998
[624/5000][420/535][64224] Loss_D: -0.024177 Loss_G: 0.014139 Loss_D_real: -0.011452 Loss_D_fake 0.012725
[624/5000][425/535][64225] Loss_D: -0.024192 Loss_G: 0.006110 Loss_D_real: -0.012150 Loss_D_fake 0.012043
[624/5000][430/535][64226] Loss_D: -0.023923 Loss_G: 0.023581 Loss_D_real: -0.021691 Loss_D_fake 0.002232
[624/5000][435/535][64227] Loss_D: -0.023924 Loss_G: 0.006027 Loss_D_real: -0.006914 Loss_D_fake 0.017010
[624/5000][440/535][64228] Loss_D: -0.025641 Loss_G: 0.017324 Loss_D_real: -0.013586 Loss_D_fake 0.012054
[624/5000][445/535][64229] Loss_D: -0.025632 Loss_G: 0.010556 Loss_D_real: -0.010238 Loss_D_fake 0.015394
[624/5000][450/535][64230] Loss_D: -0.024600 Loss_G: 0.001148 Loss_D_real: -0.016357 Loss_D_fake 0.008244
[624/5000][455/535][64231] Loss_D: -0.024930 Loss_G: 0.007982 Loss_D_real: -0.006346 Loss_D_fake 0.018585
[624/5000][460/535][64232] Loss_D: -0.023205 Loss_G: -0.003624 Loss_D_real: -0.018509 Loss_D_fake 0.004696
[624/5000][465/535][64233] Loss_D: -0.025076 Loss_G: 0.018524 Loss_D_real: -0.015463 Loss_D_fake 0.009613
[624/5000][470/535][64234] Loss_D: -0.025251 Loss_G: 0.003648 Loss_D_real: -0.008428 Loss_D_fake 0.016823
[624/5000][475/535][64235] Loss_D: -0.025164 Loss_G: 0.027986 Loss_D_real: -0.013693 Loss_D_fake 0.011471
[624/5000][480/535][64236] Loss_D: -0.023180 Loss_G: 0.015599 Loss_D_real: -0.016963 Loss_D_fake 0.006217
[624/5000][485/535][64237] Loss_D: -0.026700 Loss_G: 0.005240 Loss_D_real: -0.006851 Loss_D_fake 0.019849
[624/5000][490/535][64238] Loss_D: -0.024708 Loss_G: 0.022443 Loss_D_real: -0.022823 Loss_D_fake 0.001885
[624/5000][495/535][64239] Loss_D: -0.024151 Loss_G: 0.009494 Loss_D_real: -0.005495 Loss_D_fake 0.018656
[624/5000][500/535][64240] Loss_D: -0.026012 Loss_G: 0.013815 Loss_D_real: -0.022747 Loss_D_fake 0.003265
[624/5000][505/535][64241] Loss_D: -0.024965 Loss_G: 0.021202 Loss_D_real: -0.027149 Loss_D_fake -0.002184
[624/5000][510/535][64242] Loss_D: -0.025781 Loss_G: 0.007433 Loss_D_real: -0.002304 Loss_D_fake 0.023477
[624/5000][515/535][64243] Loss_D: -0.022333 Loss_G: 0.025590 Loss_D_real: -0.027999 Loss_D_fake -0.005666
[624/5000][520/535][64244] Loss_D: -0.024768 Loss_G: 0.003615 Loss_D_real: -0.009669 Loss_D_fake 0.015099
[624/5000][525/535][64245] Loss_D: -0.024663 Loss_G: -0.000265 Loss_D_real: -0.015175 Loss_D_fake 0.009488
[624/5000][530/535][64246] Loss_D: -0.024348 Loss_G: 0.025589 Loss_D_real: -0.022045 Loss_D_fake 0.002303
[624/5000][535/535][64247] Loss_D: -0.024270 Loss_G: 0.017643 Loss_D_real: -0.017783 Loss_D_fake 0.006487
[625/5000][5/535][64248] Loss_D: -0.024289 Loss_G: 0.007132 Loss_D_real: 0.003836 Loss_D_fake 0.028124
[625/5000][10/535][64249] Loss_D: -0.022801 Loss_G: 0.035285 Loss_D_real: -0.027665 Loss_D_fake -0.004864
[625/5000][15/535][64250] Loss_D: -0.024772 Loss_G: 0.012922 Loss_D_real: -0.005400 Loss_D_fake 0.019372
[625/5000][20/535][64251] Loss_D: -0.023090 Loss_G: 0.019631 Loss_D_real: -0.022887 Loss_D_fake 0.000203
[625/5000][25/535][64252] Loss_D: -0.024187 Loss_G: 0.027926 Loss_D_real: -0.023052 Loss_D_fake 0.001135
[625/5000][30/535][64253] Loss_D: -0.025671 Loss_G: 0.005997 Loss_D_real: -0.014526 Loss_D_fake 0.011145
[625/5000][35/535][64254] Loss_D: -0.023627 Loss_G: 0.022931 Loss_D_real: -0.024678 Loss_D_fake -0.001051
[625/5000][40/535][64255] Loss_D: -0.024870 Loss_G: 0.001850 Loss_D_real: -0.005503 Loss_D_fake 0.019367
[625/5000][45/535][64256] Loss_D: -0.025051 Loss_G: 0.019504 Loss_D_real: -0.022756 Loss_D_fake 0.002295
[625/5000][50/535][64257] Loss_D: -0.025329 Loss_G: 0.006552 Loss_D_real: -0.012021 Loss_D_fake 0.013308
[625/5000][55/535][64258] Loss_D: -0.023836 Loss_G: -0.013418 Loss_D_real: 0.008718 Loss_D_fake 0.032555
[625/5000][60/535][64259] Loss_D: -0.025349 Loss_G: 0.020110 Loss_D_real: -0.024755 Loss_D_fake 0.000594
[625/5000][65/535][64260] Loss_D: -0.025145 Loss_G: 0.003089 Loss_D_real: -0.003121 Loss_D_fake 0.022024
[625/5000][70/535][64261] Loss_D: -0.023479 Loss_G: 0.000828 Loss_D_real: -0.003587 Loss_D_fake 0.019892
[625/5000][75/535][64262] Loss_D: -0.026191 Loss_G: 0.014462 Loss_D_real: -0.017691 Loss_D_fake 0.008500
[625/5000][80/535][64263] Loss_D: -0.025418 Loss_G: 0.008332 Loss_D_real: -0.002600 Loss_D_fake 0.022819
[625/5000][85/535][64264] Loss_D: -0.022083 Loss_G: 0.038164 Loss_D_real: -0.036709 Loss_D_fake -0.014626
[625/5000][90/535][64265] Loss_D: -0.024449 Loss_G: 0.006487 Loss_D_real: -0.005028 Loss_D_fake 0.019422
[625/5000][95/535][64266] Loss_D: -0.025208 Loss_G: 0.010951 Loss_D_real: -0.022632 Loss_D_fake 0.002576
[625/5000][100/535][64267] Loss_D: -0.025181 Loss_G: 0.007441 Loss_D_real: -0.015124 Loss_D_fake 0.010058
[625/5000][105/535][64268] Loss_D: -0.023763 Loss_G: 0.026211 Loss_D_real: -0.020220 Loss_D_fake 0.003543
[625/5000][110/535][64269] Loss_D: -0.023889 Loss_G: 0.011380 Loss_D_real: -0.017825 Loss_D_fake 0.006063
[625/5000][115/535][64270] Loss_D: -0.024985 Loss_G: 0.008362 Loss_D_real: -0.007248 Loss_D_fake 0.017738
[625/5000][120/535][64271] Loss_D: -0.025239 Loss_G: 0.012643 Loss_D_real: -0.017287 Loss_D_fake 0.007953
[625/5000][125/535][64272] Loss_D: -0.024219 Loss_G: -0.001885 Loss_D_real: -0.000604 Loss_D_fake 0.023615
[625/5000][130/535][64273] Loss_D: -0.024027 Loss_G: 0.008799 Loss_D_real: -0.004975 Loss_D_fake 0.019052
[625/5000][135/535][64274] Loss_D: -0.023768 Loss_G: 0.003640 Loss_D_real: -0.010766 Loss_D_fake 0.013002
[625/5000][140/535][64275] Loss_D: -0.024363 Loss_G: 0.021568 Loss_D_real: -0.023879 Loss_D_fake 0.000484
[625/5000][145/535][64276] Loss_D: -0.023801 Loss_G: -0.007858 Loss_D_real: -0.005411 Loss_D_fake 0.018390
[625/5000][150/535][64277] Loss_D: -0.025286 Loss_G: 0.017317 Loss_D_real: -0.013880 Loss_D_fake 0.011406
[625/5000][155/535][64278] Loss_D: -0.024505 Loss_G: 0.030264 Loss_D_real: -0.028226 Loss_D_fake -0.003721
[625/5000][160/535][64279] Loss_D: -0.024550 Loss_G: 0.007423 Loss_D_real: -0.002058 Loss_D_fake 0.022493
[625/5000][165/535][64280] Loss_D: -0.025447 Loss_G: 0.011236 Loss_D_real: -0.009706 Loss_D_fake 0.015741
[625/5000][170/535][64281] Loss_D: -0.024847 Loss_G: 0.017306 Loss_D_real: -0.022706 Loss_D_fake 0.002141
[625/5000][175/535][64282] Loss_D: -0.023850 Loss_G: 0.027014 Loss_D_real: -0.010877 Loss_D_fake 0.012973
[625/5000][180/535][64283] Loss_D: -0.021996 Loss_G: -0.005994 Loss_D_real: 0.004615 Loss_D_fake 0.026610
[625/5000][185/535][64284] Loss_D: -0.024625 Loss_G: 0.006702 Loss_D_real: -0.011746 Loss_D_fake 0.012879
[625/5000][190/535][64285] Loss_D: -0.024818 Loss_G: 0.019000 Loss_D_real: -0.020504 Loss_D_fake 0.004314
[625/5000][195/535][64286] Loss_D: -0.023525 Loss_G: -0.000631 Loss_D_real: -0.013203 Loss_D_fake 0.010321
[625/5000][200/535][64287] Loss_D: -0.021867 Loss_G: 0.026053 Loss_D_real: -0.034954 Loss_D_fake -0.013087
[625/5000][205/535][64288] Loss_D: -0.023687 Loss_G: 0.025142 Loss_D_real: -0.013750 Loss_D_fake 0.009937
[625/5000][210/535][64289] Loss_D: -0.024285 Loss_G: 0.023300 Loss_D_real: -0.019983 Loss_D_fake 0.004303
[625/5000][215/535][64290] Loss_D: -0.024751 Loss_G: -0.002462 Loss_D_real: -0.001737 Loss_D_fake 0.023014
[625/5000][220/535][64291] Loss_D: -0.025075 Loss_G: 0.003115 Loss_D_real: -0.005918 Loss_D_fake 0.019157
[625/5000][225/535][64292] Loss_D: -0.023517 Loss_G: 0.021809 Loss_D_real: -0.023852 Loss_D_fake -0.000335
[625/5000][230/535][64293] Loss_D: -0.024910 Loss_G: 0.029028 Loss_D_real: -0.017511 Loss_D_fake 0.007399
[625/5000][235/535][64294] Loss_D: -0.024985 Loss_G: 0.018863 Loss_D_real: -0.014580 Loss_D_fake 0.010405
[625/5000][240/535][64295] Loss_D: -0.023573 Loss_G: 0.009277 Loss_D_real: -0.011974 Loss_D_fake 0.011599
[625/5000][245/535][64296] Loss_D: -0.024388 Loss_G: 0.005655 Loss_D_real: -0.005248 Loss_D_fake 0.019139
[625/5000][250/535][64297] Loss_D: -0.023400 Loss_G: 0.036676 Loss_D_real: -0.023205 Loss_D_fake 0.000195
[625/5000][255/535][64298] Loss_D: -0.023763 Loss_G: 0.006659 Loss_D_real: -0.008218 Loss_D_fake 0.015546
[625/5000][260/535][64299] Loss_D: -0.025009 Loss_G: 0.033883 Loss_D_real: -0.025404 Loss_D_fake -0.000395
[625/5000][265/535][64300] Loss_D: -0.025007 Loss_G: 0.006606 Loss_D_real: -0.015710 Loss_D_fake 0.009297
[625/5000][270/535][64301] Loss_D: -0.025297 Loss_G: -0.006152 Loss_D_real: 0.000786 Loss_D_fake 0.026083
[625/5000][275/535][64302] Loss_D: -0.023670 Loss_G: 0.029041 Loss_D_real: -0.024621 Loss_D_fake -0.000951
[625/5000][280/535][64303] Loss_D: -0.026155 Loss_G: 0.011948 Loss_D_real: -0.013046 Loss_D_fake 0.013109
[625/5000][285/535][64304] Loss_D: -0.026147 Loss_G: 0.002771 Loss_D_real: -0.004351 Loss_D_fake 0.021796
[625/5000][290/535][64305] Loss_D: -0.024170 Loss_G: 0.006733 Loss_D_real: -0.006656 Loss_D_fake 0.017513
[625/5000][295/535][64306] Loss_D: -0.023839 Loss_G: 0.029615 Loss_D_real: -0.025262 Loss_D_fake -0.001423
[625/5000][300/535][64307] Loss_D: -0.026871 Loss_G: 0.012353 Loss_D_real: -0.015650 Loss_D_fake 0.011221
[625/5000][305/535][64308] Loss_D: -0.024380 Loss_G: -0.000339 Loss_D_real: -0.015048 Loss_D_fake 0.009332
[625/5000][310/535][64309] Loss_D: -0.023613 Loss_G: 0.002188 Loss_D_real: -0.004073 Loss_D_fake 0.019540
[625/5000][315/535][64310] Loss_D: -0.026152 Loss_G: 0.011998 Loss_D_real: 0.002730 Loss_D_fake 0.028881
[625/5000][320/535][64311] Loss_D: -0.023561 Loss_G: 0.009599 Loss_D_real: -0.015872 Loss_D_fake 0.007689
[625/5000][325/535][64312] Loss_D: -0.024313 Loss_G: 0.006759 Loss_D_real: -0.007740 Loss_D_fake 0.016573
[625/5000][330/535][64313] Loss_D: -0.024405 Loss_G: 0.020189 Loss_D_real: -0.026119 Loss_D_fake -0.001714
[625/5000][335/535][64314] Loss_D: -0.023343 Loss_G: 0.036722 Loss_D_real: -0.034824 Loss_D_fake -0.011481
[625/5000][340/535][64315] Loss_D: -0.024337 Loss_G: 0.031709 Loss_D_real: -0.017009 Loss_D_fake 0.007328
[625/5000][345/535][64316] Loss_D: -0.024692 Loss_G: 0.013012 Loss_D_real: -0.017022 Loss_D_fake 0.007670
[625/5000][350/535][64317] Loss_D: -0.024237 Loss_G: 0.021998 Loss_D_real: -0.020622 Loss_D_fake 0.003615
[625/5000][355/535][64318] Loss_D: -0.024029 Loss_G: 0.017425 Loss_D_real: -0.022603 Loss_D_fake 0.001426
[625/5000][360/535][64319] Loss_D: -0.024786 Loss_G: -0.004590 Loss_D_real: 0.004551 Loss_D_fake 0.029337
[625/5000][365/535][64320] Loss_D: -0.023924 Loss_G: 0.015236 Loss_D_real: -0.013424 Loss_D_fake 0.010500
[625/5000][370/535][64321] Loss_D: -0.022729 Loss_G: 0.022500 Loss_D_real: -0.028905 Loss_D_fake -0.006177
[625/5000][375/535][64322] Loss_D: -0.024661 Loss_G: 0.007804 Loss_D_real: -0.010133 Loss_D_fake 0.014528
[625/5000][380/535][64323] Loss_D: -0.024126 Loss_G: 0.023255 Loss_D_real: -0.012556 Loss_D_fake 0.011570
[625/5000][385/535][64324] Loss_D: -0.024324 Loss_G: 0.037574 Loss_D_real: -0.023008 Loss_D_fake 0.001315
[625/5000][390/535][64325] Loss_D: -0.023775 Loss_G: -0.006031 Loss_D_real: -0.001016 Loss_D_fake 0.022759
[625/5000][395/535][64326] Loss_D: -0.024520 Loss_G: 0.004130 Loss_D_real: -0.015702 Loss_D_fake 0.008818
[625/5000][400/535][64327] Loss_D: -0.022853 Loss_G: 0.036599 Loss_D_real: -0.034420 Loss_D_fake -0.011567
[625/5000][405/535][64328] Loss_D: -0.024535 Loss_G: 0.008108 Loss_D_real: -0.009629 Loss_D_fake 0.014906
[625/5000][410/535][64329] Loss_D: -0.023857 Loss_G: 0.009823 Loss_D_real: -0.026639 Loss_D_fake -0.002782
[625/5000][415/535][64330] Loss_D: -0.023776 Loss_G: 0.024809 Loss_D_real: -0.024699 Loss_D_fake -0.000923
[625/5000][420/535][64331] Loss_D: -0.023816 Loss_G: 0.020578 Loss_D_real: -0.023897 Loss_D_fake -0.000081
[625/5000][425/535][64332] Loss_D: -0.023145 Loss_G: 0.028064 Loss_D_real: -0.032218 Loss_D_fake -0.009073
[625/5000][430/535][64333] Loss_D: -0.025438 Loss_G: 0.019088 Loss_D_real: -0.018012 Loss_D_fake 0.007426
[625/5000][435/535][64334] Loss_D: -0.023278 Loss_G: 0.028024 Loss_D_real: -0.034750 Loss_D_fake -0.011473
[625/5000][440/535][64335] Loss_D: -0.024564 Loss_G: 0.012303 Loss_D_real: -0.014165 Loss_D_fake 0.010399
[625/5000][445/535][64336] Loss_D: -0.024336 Loss_G: 0.010408 Loss_D_real: -0.013874 Loss_D_fake 0.010462
[625/5000][450/535][64337] Loss_D: -0.025002 Loss_G: 0.009761 Loss_D_real: -0.008220 Loss_D_fake 0.016782
[625/5000][455/535][64338] Loss_D: -0.024477 Loss_G: 0.006977 Loss_D_real: -0.009568 Loss_D_fake 0.014910
[625/5000][460/535][64339] Loss_D: -0.024680 Loss_G: 0.026015 Loss_D_real: -0.026091 Loss_D_fake -0.001411
[625/5000][465/535][64340] Loss_D: -0.024961 Loss_G: 0.008089 Loss_D_real: 0.001066 Loss_D_fake 0.026028
[625/5000][470/535][64341] Loss_D: -0.024137 Loss_G: 0.014634 Loss_D_real: -0.028171 Loss_D_fake -0.004034
[625/5000][475/535][64342] Loss_D: -0.024967 Loss_G: 0.022175 Loss_D_real: -0.027158 Loss_D_fake -0.002191
[625/5000][480/535][64343] Loss_D: -0.025538 Loss_G: 0.007101 Loss_D_real: -0.008046 Loss_D_fake 0.017493
[625/5000][485/535][64344] Loss_D: -0.022642 Loss_G: 0.001638 Loss_D_real: -0.016866 Loss_D_fake 0.005776
[625/5000][490/535][64345] Loss_D: -0.023873 Loss_G: 0.021469 Loss_D_real: -0.022907 Loss_D_fake 0.000967
[625/5000][495/535][64346] Loss_D: -0.023619 Loss_G: 0.012029 Loss_D_real: -0.010031 Loss_D_fake 0.013588
[625/5000][500/535][64347] Loss_D: -0.025597 Loss_G: 0.020332 Loss_D_real: -0.018415 Loss_D_fake 0.007183
[625/5000][505/535][64348] Loss_D: -0.024267 Loss_G: 0.014227 Loss_D_real: -0.016607 Loss_D_fake 0.007661
[625/5000][510/535][64349] Loss_D: -0.023988 Loss_G: 0.027062 Loss_D_real: -0.017297 Loss_D_fake 0.006691
[625/5000][515/535][64350] Loss_D: -0.023350 Loss_G: 0.017080 Loss_D_real: -0.014453 Loss_D_fake 0.008897
[625/5000][520/535][64351] Loss_D: -0.024943 Loss_G: 0.016290 Loss_D_real: -0.013951 Loss_D_fake 0.010993
[625/5000][525/535][64352] Loss_D: -0.025539 Loss_G: 0.010991 Loss_D_real: -0.005039 Loss_D_fake 0.020501
[625/5000][530/535][64353] Loss_D: -0.023660 Loss_G: 0.007848 Loss_D_real: -0.002079 Loss_D_fake 0.021581
[625/5000][535/535][64354] Loss_D: -0.023730 Loss_G: 0.022087 Loss_D_real: -0.037426 Loss_D_fake -0.013697
[626/5000][5/535][64355] Loss_D: -0.025555 Loss_G: 0.000464 Loss_D_real: -0.001698 Loss_D_fake 0.023858
[626/5000][10/535][64356] Loss_D: -0.024243 Loss_G: 0.028731 Loss_D_real: -0.022701 Loss_D_fake 0.001542
[626/5000][15/535][64357] Loss_D: -0.024907 Loss_G: 0.001548 Loss_D_real: -0.002951 Loss_D_fake 0.021956
[626/5000][20/535][64358] Loss_D: -0.024125 Loss_G: 0.035616 Loss_D_real: -0.027864 Loss_D_fake -0.003739
[626/5000][25/535][64359] Loss_D: -0.024627 Loss_G: -0.000360 Loss_D_real: 0.000036 Loss_D_fake 0.024663
[626/5000][30/535][64360] Loss_D: -0.023577 Loss_G: 0.016100 Loss_D_real: -0.019801 Loss_D_fake 0.003776
[626/5000][35/535][64361] Loss_D: -0.024549 Loss_G: 0.001860 Loss_D_real: -0.010028 Loss_D_fake 0.014521
[626/5000][40/535][64362] Loss_D: -0.024455 Loss_G: 0.029207 Loss_D_real: -0.034965 Loss_D_fake -0.010509
[626/5000][45/535][64363] Loss_D: -0.023777 Loss_G: 0.032816 Loss_D_real: -0.032399 Loss_D_fake -0.008622
[626/5000][50/535][64364] Loss_D: -0.024866 Loss_G: 0.000918 Loss_D_real: -0.012265 Loss_D_fake 0.012601
[626/5000][55/535][64365] Loss_D: -0.024820 Loss_G: 0.020230 Loss_D_real: -0.014147 Loss_D_fake 0.010673
[626/5000][60/535][64366] Loss_D: -0.025143 Loss_G: 0.032067 Loss_D_real: -0.026876 Loss_D_fake -0.001732
[626/5000][65/535][64367] Loss_D: -0.024070 Loss_G: -0.000203 Loss_D_real: -0.011960 Loss_D_fake 0.012109
[626/5000][70/535][64368] Loss_D: -0.023072 Loss_G: 0.020381 Loss_D_real: -0.018059 Loss_D_fake 0.005013
[626/5000][75/535][64369] Loss_D: -0.025492 Loss_G: -0.006301 Loss_D_real: 0.000251 Loss_D_fake 0.025743
[626/5000][80/535][64370] Loss_D: -0.023960 Loss_G: 0.037433 Loss_D_real: -0.028043 Loss_D_fake -0.004083
[626/5000][85/535][64371] Loss_D: -0.022650 Loss_G: -0.010266 Loss_D_real: 0.005256 Loss_D_fake 0.027906
[626/5000][90/535][64372] Loss_D: -0.023388 Loss_G: 0.020442 Loss_D_real: -0.017337 Loss_D_fake 0.006051
[626/5000][95/535][64373] Loss_D: -0.025091 Loss_G: 0.000502 Loss_D_real: -0.006554 Loss_D_fake 0.018538
[626/5000][100/535][64374] Loss_D: -0.025314 Loss_G: 0.018820 Loss_D_real: -0.019706 Loss_D_fake 0.005609
[626/5000][105/535][64375] Loss_D: -0.025298 Loss_G: -0.005985 Loss_D_real: -0.004003 Loss_D_fake 0.021295
[626/5000][110/535][64376] Loss_D: -0.024626 Loss_G: 0.015242 Loss_D_real: -0.010632 Loss_D_fake 0.013994
[626/5000][115/535][64377] Loss_D: -0.023814 Loss_G: 0.022861 Loss_D_real: -0.013688 Loss_D_fake 0.010126
[626/5000][120/535][64378] Loss_D: -0.024501 Loss_G: 0.015917 Loss_D_real: -0.014112 Loss_D_fake 0.010389
[626/5000][125/535][64379] Loss_D: -0.024979 Loss_G: 0.004086 Loss_D_real: -0.005624 Loss_D_fake 0.019355
[626/5000][130/535][64380] Loss_D: -0.023077 Loss_G: -0.006717 Loss_D_real: -0.002439 Loss_D_fake 0.020638
[626/5000][135/535][64381] Loss_D: -0.023835 Loss_G: 0.035543 Loss_D_real: -0.028737 Loss_D_fake -0.004901
[626/5000][140/535][64382] Loss_D: -0.024661 Loss_G: 0.021667 Loss_D_real: -0.017326 Loss_D_fake 0.007334
[626/5000][145/535][64383] Loss_D: -0.024270 Loss_G: 0.022513 Loss_D_real: -0.023338 Loss_D_fake 0.000932
[626/5000][150/535][64384] Loss_D: -0.024058 Loss_G: 0.010206 Loss_D_real: -0.014666 Loss_D_fake 0.009392
[626/5000][155/535][64385] Loss_D: -0.023186 Loss_G: 0.016886 Loss_D_real: -0.020219 Loss_D_fake 0.002967
[626/5000][160/535][64386] Loss_D: -0.024982 Loss_G: 0.012112 Loss_D_real: -0.014853 Loss_D_fake 0.010129
[626/5000][165/535][64387] Loss_D: -0.023245 Loss_G: 0.035202 Loss_D_real: -0.029640 Loss_D_fake -0.006395
[626/5000][170/535][64388] Loss_D: -0.024790 Loss_G: 0.005845 Loss_D_real: -0.012162 Loss_D_fake 0.012629
[626/5000][175/535][64389] Loss_D: -0.024482 Loss_G: 0.018021 Loss_D_real: -0.014832 Loss_D_fake 0.009651
[626/5000][180/535][64390] Loss_D: -0.025799 Loss_G: 0.020185 Loss_D_real: -0.017576 Loss_D_fake 0.008223
[626/5000][185/535][64391] Loss_D: -0.025631 Loss_G: 0.020376 Loss_D_real: -0.020953 Loss_D_fake 0.004678
[626/5000][190/535][64392] Loss_D: -0.024964 Loss_G: 0.014860 Loss_D_real: -0.015727 Loss_D_fake 0.009237
[626/5000][195/535][64393] Loss_D: -0.025207 Loss_G: 0.012664 Loss_D_real: -0.013918 Loss_D_fake 0.011288
[626/5000][200/535][64394] Loss_D: -0.024754 Loss_G: 0.017705 Loss_D_real: -0.017017 Loss_D_fake 0.007737
[626/5000][205/535][64395] Loss_D: -0.025042 Loss_G: 0.005688 Loss_D_real: -0.009365 Loss_D_fake 0.015678
[626/5000][210/535][64396] Loss_D: -0.025161 Loss_G: 0.004498 Loss_D_real: 0.001020 Loss_D_fake 0.026181
[626/5000][215/535][64397] Loss_D: -0.025661 Loss_G: 0.013477 Loss_D_real: -0.028576 Loss_D_fake -0.002914
[626/5000][220/535][64398] Loss_D: -0.025207 Loss_G: 0.033884 Loss_D_real: -0.019816 Loss_D_fake 0.005391
[626/5000][225/535][64399] Loss_D: -0.024898 Loss_G: -0.010366 Loss_D_real: 0.006409 Loss_D_fake 0.031306
[626/5000][230/535][64400] Loss_D: -0.023301 Loss_G: 0.029259 Loss_D_real: -0.029322 Loss_D_fake -0.006022
[626/5000][235/535][64401] Loss_D: -0.024144 Loss_G: 0.016395 Loss_D_real: -0.007402 Loss_D_fake 0.016742
[626/5000][240/535][64402] Loss_D: -0.024921 Loss_G: 0.026629 Loss_D_real: -0.016165 Loss_D_fake 0.008756
[626/5000][245/535][64403] Loss_D: -0.023988 Loss_G: -0.005391 Loss_D_real: 0.003957 Loss_D_fake 0.027945
[626/5000][250/535][64404] Loss_D: -0.024034 Loss_G: 0.019397 Loss_D_real: -0.028601 Loss_D_fake -0.004567
[626/5000][255/535][64405] Loss_D: -0.024035 Loss_G: 0.008918 Loss_D_real: -0.007420 Loss_D_fake 0.016615
[626/5000][260/535][64406] Loss_D: -0.025656 Loss_G: 0.004814 Loss_D_real: -0.003625 Loss_D_fake 0.022031
[626/5000][265/535][64407] Loss_D: -0.025709 Loss_G: 0.017166 Loss_D_real: -0.022130 Loss_D_fake 0.003579
[626/5000][270/535][64408] Loss_D: -0.026327 Loss_G: 0.003191 Loss_D_real: -0.004026 Loss_D_fake 0.022301
[626/5000][275/535][64409] Loss_D: -0.024426 Loss_G: 0.025242 Loss_D_real: -0.021077 Loss_D_fake 0.003349
[626/5000][280/535][64410] Loss_D: -0.025674 Loss_G: 0.025273 Loss_D_real: -0.014526 Loss_D_fake 0.011148
[626/5000][285/535][64411] Loss_D: -0.023013 Loss_G: 0.035072 Loss_D_real: -0.026853 Loss_D_fake -0.003839
[626/5000][290/535][64412] Loss_D: -0.024228 Loss_G: 0.015802 Loss_D_real: -0.019923 Loss_D_fake 0.004305
[626/5000][295/535][64413] Loss_D: -0.025655 Loss_G: 0.024885 Loss_D_real: -0.026672 Loss_D_fake -0.001017
[626/5000][300/535][64414] Loss_D: -0.024473 Loss_G: 0.030082 Loss_D_real: -0.019916 Loss_D_fake 0.004558
[626/5000][305/535][64415] Loss_D: -0.023569 Loss_G: -0.018041 Loss_D_real: 0.000608 Loss_D_fake 0.024178
[626/5000][310/535][64416] Loss_D: -0.023233 Loss_G: -0.001739 Loss_D_real: -0.004939 Loss_D_fake 0.018294
[626/5000][315/535][64417] Loss_D: -0.023075 Loss_G: 0.007429 Loss_D_real: -0.016267 Loss_D_fake 0.006808
[626/5000][320/535][64418] Loss_D: -0.022928 Loss_G: 0.041466 Loss_D_real: -0.023736 Loss_D_fake -0.000808
[626/5000][325/535][64419] Loss_D: -0.025275 Loss_G: 0.008837 Loss_D_real: -0.008474 Loss_D_fake 0.016801
[626/5000][330/535][64420] Loss_D: -0.024297 Loss_G: 0.015745 Loss_D_real: -0.013878 Loss_D_fake 0.010419
[626/5000][335/535][64421] Loss_D: -0.024301 Loss_G: 0.012614 Loss_D_real: -0.017668 Loss_D_fake 0.006633
[626/5000][340/535][64422] Loss_D: -0.024008 Loss_G: 0.017317 Loss_D_real: -0.014012 Loss_D_fake 0.009995
[626/5000][345/535][64423] Loss_D: -0.025141 Loss_G: 0.012113 Loss_D_real: -0.015973 Loss_D_fake 0.009167
[626/5000][350/535][64424] Loss_D: -0.024586 Loss_G: 0.037220 Loss_D_real: -0.012564 Loss_D_fake 0.012022
[626/5000][355/535][64425] Loss_D: -0.024642 Loss_G: 0.026473 Loss_D_real: -0.013841 Loss_D_fake 0.010801
[626/5000][360/535][64426] Loss_D: -0.026361 Loss_G: 0.011979 Loss_D_real: -0.012010 Loss_D_fake 0.014351
[626/5000][365/535][64427] Loss_D: -0.024264 Loss_G: -0.006613 Loss_D_real: -0.002216 Loss_D_fake 0.022047
[626/5000][370/535][64428] Loss_D: -0.022244 Loss_G: 0.008244 Loss_D_real: -0.004822 Loss_D_fake 0.017422
[626/5000][375/535][64429] Loss_D: -0.025599 Loss_G: 0.028076 Loss_D_real: -0.013478 Loss_D_fake 0.012121
[626/5000][380/535][64430] Loss_D: -0.024767 Loss_G: -0.002424 Loss_D_real: -0.014511 Loss_D_fake 0.010256
[626/5000][385/535][64431] Loss_D: -0.025146 Loss_G: 0.018195 Loss_D_real: -0.030225 Loss_D_fake -0.005079
[626/5000][390/535][64432] Loss_D: -0.024553 Loss_G: 0.015362 Loss_D_real: -0.017637 Loss_D_fake 0.006916
[626/5000][395/535][64433] Loss_D: -0.023231 Loss_G: -0.004169 Loss_D_real: -0.002975 Loss_D_fake 0.020256
[626/5000][400/535][64434] Loss_D: -0.022815 Loss_G: 0.031102 Loss_D_real: -0.023238 Loss_D_fake -0.000424
[626/5000][405/535][64435] Loss_D: -0.023408 Loss_G: -0.016700 Loss_D_real: -0.003552 Loss_D_fake 0.019856
[626/5000][410/535][64436] Loss_D: -0.023725 Loss_G: 0.012476 Loss_D_real: -0.013354 Loss_D_fake 0.010372
[626/5000][415/535][64437] Loss_D: -0.023328 Loss_G: 0.006994 Loss_D_real: -0.012594 Loss_D_fake 0.010734
[626/5000][420/535][64438] Loss_D: -0.024233 Loss_G: 0.006560 Loss_D_real: -0.012056 Loss_D_fake 0.012177
[626/5000][425/535][64439] Loss_D: -0.026113 Loss_G: 0.001847 Loss_D_real: -0.012182 Loss_D_fake 0.013931
[626/5000][430/535][64440] Loss_D: -0.024352 Loss_G: 0.018718 Loss_D_real: -0.015120 Loss_D_fake 0.009232
[626/5000][435/535][64441] Loss_D: -0.025955 Loss_G: 0.018090 Loss_D_real: -0.017510 Loss_D_fake 0.008446
[626/5000][440/535][64442] Loss_D: -0.026701 Loss_G: 0.031154 Loss_D_real: -0.027915 Loss_D_fake -0.001214
[626/5000][445/535][64443] Loss_D: -0.023597 Loss_G: 0.003610 Loss_D_real: -0.006598 Loss_D_fake 0.016999
[626/5000][450/535][64444] Loss_D: -0.024727 Loss_G: 0.021163 Loss_D_real: -0.017696 Loss_D_fake 0.007030
[626/5000][455/535][64445] Loss_D: -0.025022 Loss_G: 0.017979 Loss_D_real: -0.022520 Loss_D_fake 0.002502
[626/5000][460/535][64446] Loss_D: -0.022353 Loss_G: 0.014341 Loss_D_real: -0.017260 Loss_D_fake 0.005093
[626/5000][465/535][64447] Loss_D: -0.023709 Loss_G: 0.001684 Loss_D_real: -0.007769 Loss_D_fake 0.015940
[626/5000][470/535][64448] Loss_D: -0.024470 Loss_G: 0.010775 Loss_D_real: -0.013263 Loss_D_fake 0.011207
[626/5000][475/535][64449] Loss_D: -0.024733 Loss_G: 0.000161 Loss_D_real: -0.007503 Loss_D_fake 0.017230
[626/5000][480/535][64450] Loss_D: -0.023488 Loss_G: 0.040072 Loss_D_real: -0.026747 Loss_D_fake -0.003259
[626/5000][485/535][64451] Loss_D: -0.024364 Loss_G: 0.038277 Loss_D_real: -0.025877 Loss_D_fake -0.001513
[626/5000][490/535][64452] Loss_D: -0.022319 Loss_G: 0.036938 Loss_D_real: -0.035197 Loss_D_fake -0.012878
[626/5000][495/535][64453] Loss_D: -0.025235 Loss_G: 0.018296 Loss_D_real: -0.014528 Loss_D_fake 0.010707
[626/5000][500/535][64454] Loss_D: -0.025178 Loss_G: 0.012931 Loss_D_real: -0.011057 Loss_D_fake 0.014121
[626/5000][505/535][64455] Loss_D: -0.023114 Loss_G: 0.032519 Loss_D_real: -0.020076 Loss_D_fake 0.003038
[626/5000][510/535][64456] Loss_D: -0.024045 Loss_G: 0.021602 Loss_D_real: -0.034419 Loss_D_fake -0.010374
[626/5000][515/535][64457] Loss_D: -0.024583 Loss_G: 0.013926 Loss_D_real: -0.016172 Loss_D_fake 0.008411
[626/5000][520/535][64458] Loss_D: -0.025038 Loss_G: 0.000038 Loss_D_real: -0.003477 Loss_D_fake 0.021561
[626/5000][525/535][64459] Loss_D: -0.023060 Loss_G: 0.004523 Loss_D_real: -0.015402 Loss_D_fake 0.007658
[626/5000][530/535][64460] Loss_D: -0.024479 Loss_G: 0.013412 Loss_D_real: -0.007390 Loss_D_fake 0.017089
[626/5000][535/535][64461] Loss_D: -0.027335 Loss_G: -0.015804 Loss_D_real: -0.015638 Loss_D_fake 0.011696
[627/5000][5/535][64462] Loss_D: -0.024085 Loss_G: -0.000067 Loss_D_real: 0.001637 Loss_D_fake 0.025722
[627/5000][10/535][64463] Loss_D: -0.025313 Loss_G: 0.016825 Loss_D_real: -0.010127 Loss_D_fake 0.015185
[627/5000][15/535][64464] Loss_D: -0.023894 Loss_G: 0.021502 Loss_D_real: -0.027818 Loss_D_fake -0.003923
[627/5000][20/535][64465] Loss_D: -0.024322 Loss_G: 0.005426 Loss_D_real: -0.003814 Loss_D_fake 0.020507
[627/5000][25/535][64466] Loss_D: -0.024825 Loss_G: 0.034660 Loss_D_real: -0.026633 Loss_D_fake -0.001808
[627/5000][30/535][64467] Loss_D: -0.025353 Loss_G: 0.024606 Loss_D_real: -0.015838 Loss_D_fake 0.009515
[627/5000][35/535][64468] Loss_D: -0.024086 Loss_G: 0.022253 Loss_D_real: -0.024631 Loss_D_fake -0.000545
[627/5000][40/535][64469] Loss_D: -0.024795 Loss_G: 0.013359 Loss_D_real: -0.022737 Loss_D_fake 0.002058
[627/5000][45/535][64470] Loss_D: -0.024157 Loss_G: 0.021415 Loss_D_real: -0.033238 Loss_D_fake -0.009081
[627/5000][50/535][64471] Loss_D: -0.022299 Loss_G: 0.039087 Loss_D_real: -0.028028 Loss_D_fake -0.005729
[627/5000][55/535][64472] Loss_D: -0.025348 Loss_G: -0.010034 Loss_D_real: -0.005674 Loss_D_fake 0.019674
[627/5000][60/535][64473] Loss_D: -0.024743 Loss_G: 0.014042 Loss_D_real: -0.018695 Loss_D_fake 0.006048
[627/5000][65/535][64474] Loss_D: -0.024980 Loss_G: 0.003896 Loss_D_real: -0.021652 Loss_D_fake 0.003328
[627/5000][70/535][64475] Loss_D: -0.022505 Loss_G: 0.015773 Loss_D_real: -0.028517 Loss_D_fake -0.006012
[627/5000][75/535][64476] Loss_D: -0.024425 Loss_G: 0.005578 Loss_D_real: -0.004190 Loss_D_fake 0.020235
[627/5000][80/535][64477] Loss_D: -0.024052 Loss_G: 0.027535 Loss_D_real: -0.026316 Loss_D_fake -0.002264
[627/5000][85/535][64478] Loss_D: -0.024248 Loss_G: -0.003380 Loss_D_real: -0.002902 Loss_D_fake 0.021347
[627/5000][90/535][64479] Loss_D: -0.023057 Loss_G: 0.024695 Loss_D_real: -0.025230 Loss_D_fake -0.002173
[627/5000][95/535][64480] Loss_D: -0.025052 Loss_G: 0.032826 Loss_D_real: -0.020814 Loss_D_fake 0.004238
[627/5000][100/535][64481] Loss_D: -0.024778 Loss_G: 0.014390 Loss_D_real: -0.015358 Loss_D_fake 0.009420
[627/5000][105/535][64482] Loss_D: -0.024541 Loss_G: 0.016993 Loss_D_real: -0.017402 Loss_D_fake 0.007139
[627/5000][110/535][64483] Loss_D: -0.023899 Loss_G: 0.006519 Loss_D_real: -0.014123 Loss_D_fake 0.009777
[627/5000][115/535][64484] Loss_D: -0.023680 Loss_G: -0.000157 Loss_D_real: -0.006776 Loss_D_fake 0.016904
[627/5000][120/535][64485] Loss_D: -0.024572 Loss_G: 0.025103 Loss_D_real: -0.020680 Loss_D_fake 0.003892
[627/5000][125/535][64486] Loss_D: -0.023333 Loss_G: -0.001202 Loss_D_real: 0.007765 Loss_D_fake 0.031098
[627/5000][130/535][64487] Loss_D: -0.024668 Loss_G: 0.003176 Loss_D_real: -0.013703 Loss_D_fake 0.010965
[627/5000][135/535][64488] Loss_D: -0.024555 Loss_G: 0.014297 Loss_D_real: -0.025487 Loss_D_fake -0.000932
[627/5000][140/535][64489] Loss_D: -0.025427 Loss_G: 0.013603 Loss_D_real: -0.020526 Loss_D_fake 0.004901
[627/5000][145/535][64490] Loss_D: -0.025173 Loss_G: 0.021701 Loss_D_real: -0.022000 Loss_D_fake 0.003173
[627/5000][150/535][64491] Loss_D: -0.024719 Loss_G: 0.021571 Loss_D_real: -0.012257 Loss_D_fake 0.012462
[627/5000][155/535][64492] Loss_D: -0.024707 Loss_G: 0.031746 Loss_D_real: -0.020537 Loss_D_fake 0.004170
[627/5000][160/535][64493] Loss_D: -0.024234 Loss_G: 0.017051 Loss_D_real: -0.015617 Loss_D_fake 0.008617
[627/5000][165/535][64494] Loss_D: -0.024094 Loss_G: 0.018183 Loss_D_real: -0.012428 Loss_D_fake 0.011666
[627/5000][170/535][64495] Loss_D: -0.024639 Loss_G: 0.010959 Loss_D_real: -0.020138 Loss_D_fake 0.004501
[627/5000][175/535][64496] Loss_D: -0.024837 Loss_G: 0.016201 Loss_D_real: -0.015567 Loss_D_fake 0.009270
[627/5000][180/535][64497] Loss_D: -0.025619 Loss_G: 0.026887 Loss_D_real: -0.028590 Loss_D_fake -0.002971
[627/5000][185/535][64498] Loss_D: -0.025418 Loss_G: 0.026189 Loss_D_real: -0.022002 Loss_D_fake 0.003416
[627/5000][190/535][64499] Loss_D: -0.025295 Loss_G: 0.002260 Loss_D_real: -0.008257 Loss_D_fake 0.017038
[627/5000][195/535][64500] Loss_D: -0.025860 Loss_G: 0.026998 Loss_D_real: -0.029324 Loss_D_fake -0.003464
[627/5000][295/535][64501] Loss_D: -0.026927 Loss_G: -0.001585 Loss_D_real: 0.002607 Loss_D_fake 0.029534
[627/5000][300/535][64502] Loss_D: -0.025831 Loss_G: 0.020750 Loss_D_real: -0.014781 Loss_D_fake 0.011050
[627/5000][305/535][64503] Loss_D: -0.023133 Loss_G: 0.016714 Loss_D_real: -0.014799 Loss_D_fake 0.008333
[627/5000][310/535][64504] Loss_D: -0.023941 Loss_G: 0.011056 Loss_D_real: -0.014149 Loss_D_fake 0.009792
[627/5000][315/535][64505] Loss_D: -0.022869 Loss_G: 0.011719 Loss_D_real: -0.010819 Loss_D_fake 0.012050
[627/5000][320/535][64506] Loss_D: -0.023743 Loss_G: 0.012301 Loss_D_real: -0.018684 Loss_D_fake 0.005059
[627/5000][325/535][64507] Loss_D: -0.025242 Loss_G: 0.021115 Loss_D_real: -0.015878 Loss_D_fake 0.009364
[627/5000][330/535][64508] Loss_D: -0.024889 Loss_G: 0.019903 Loss_D_real: -0.016987 Loss_D_fake 0.007902
[627/5000][335/535][64509] Loss_D: -0.022918 Loss_G: 0.027176 Loss_D_real: -0.021370 Loss_D_fake 0.001549
[627/5000][340/535][64510] Loss_D: -0.024886 Loss_G: 0.000250 Loss_D_real: -0.004541 Loss_D_fake 0.020345
[627/5000][345/535][64511] Loss_D: -0.024387 Loss_G: -0.003521 Loss_D_real: -0.002280 Loss_D_fake 0.022107
[627/5000][350/535][64512] Loss_D: -0.023096 Loss_G: 0.013084 Loss_D_real: -0.015132 Loss_D_fake 0.007963
[627/5000][355/535][64513] Loss_D: -0.024279 Loss_G: 0.000582 Loss_D_real: -0.002347 Loss_D_fake 0.021932
[627/5000][360/535][64514] Loss_D: -0.023556 Loss_G: 0.016439 Loss_D_real: -0.023204 Loss_D_fake 0.000351
[627/5000][365/535][64515] Loss_D: -0.023263 Loss_G: 0.006481 Loss_D_real: -0.016788 Loss_D_fake 0.006475
[627/5000][370/535][64516] Loss_D: -0.023104 Loss_G: 0.011217 Loss_D_real: -0.004524 Loss_D_fake 0.018581
[627/5000][375/535][64517] Loss_D: -0.025905 Loss_G: 0.016579 Loss_D_real: -0.020708 Loss_D_fake 0.005197
[627/5000][380/535][64518] Loss_D: -0.023452 Loss_G: -0.000514 Loss_D_real: -0.009183 Loss_D_fake 0.014268
[627/5000][385/535][64519] Loss_D: -0.023713 Loss_G: 0.012925 Loss_D_real: -0.026535 Loss_D_fake -0.002822
[627/5000][390/535][64520] Loss_D: -0.023634 Loss_G: 0.029794 Loss_D_real: -0.022970 Loss_D_fake 0.000664
[627/5000][395/535][64521] Loss_D: -0.023904 Loss_G: 0.015947 Loss_D_real: -0.014479 Loss_D_fake 0.009425
[627/5000][400/535][64522] Loss_D: -0.025606 Loss_G: 0.027860 Loss_D_real: -0.022214 Loss_D_fake 0.003392
[627/5000][405/535][64523] Loss_D: -0.025058 Loss_G: -0.004994 Loss_D_real: 0.007104 Loss_D_fake 0.032162
[627/5000][410/535][64524] Loss_D: -0.024861 Loss_G: 0.016354 Loss_D_real: -0.016770 Loss_D_fake 0.008090
[627/5000][415/535][64525] Loss_D: -0.024674 Loss_G: 0.025501 Loss_D_real: -0.028389 Loss_D_fake -0.003715
[627/5000][420/535][64526] Loss_D: -0.027360 Loss_G: 0.009245 Loss_D_real: -0.016498 Loss_D_fake 0.010862
[627/5000][425/535][64527] Loss_D: -0.022535 Loss_G: 0.031300 Loss_D_real: -0.026597 Loss_D_fake -0.004063
[627/5000][430/535][64528] Loss_D: -0.025015 Loss_G: -0.002973 Loss_D_real: 0.000437 Loss_D_fake 0.025452
[627/5000][435/535][64529] Loss_D: -0.024528 Loss_G: 0.012087 Loss_D_real: -0.015308 Loss_D_fake 0.009220
[627/5000][440/535][64530] Loss_D: -0.025134 Loss_G: 0.024285 Loss_D_real: -0.019217 Loss_D_fake 0.005917
[627/5000][445/535][64531] Loss_D: -0.024401 Loss_G: 0.003231 Loss_D_real: -0.001169 Loss_D_fake 0.023232
[627/5000][450/535][64532] Loss_D: -0.025402 Loss_G: 0.013299 Loss_D_real: -0.021582 Loss_D_fake 0.003820
[627/5000][455/535][64533] Loss_D: -0.024505 Loss_G: 0.014677 Loss_D_real: -0.009336 Loss_D_fake 0.015169
[627/5000][460/535][64534] Loss_D: -0.023592 Loss_G: 0.041735 Loss_D_real: -0.022049 Loss_D_fake 0.001543
[627/5000][465/535][64535] Loss_D: -0.023923 Loss_G: 0.022896 Loss_D_real: -0.023917 Loss_D_fake 0.000007
[627/5000][470/535][64536] Loss_D: -0.025492 Loss_G: -0.009039 Loss_D_real: -0.007235 Loss_D_fake 0.018258
[627/5000][475/535][64537] Loss_D: -0.023340 Loss_G: -0.003493 Loss_D_real: -0.007119 Loss_D_fake 0.016221
[627/5000][480/535][64538] Loss_D: -0.024346 Loss_G: 0.024785 Loss_D_real: -0.019817 Loss_D_fake 0.004529
[627/5000][485/535][64539] Loss_D: -0.025113 Loss_G: 0.020601 Loss_D_real: -0.015688 Loss_D_fake 0.009425
[627/5000][490/535][64540] Loss_D: -0.024770 Loss_G: 0.034741 Loss_D_real: -0.027097 Loss_D_fake -0.002328
[627/5000][495/535][64541] Loss_D: -0.023594 Loss_G: 0.014478 Loss_D_real: -0.025374 Loss_D_fake -0.001779
[627/5000][500/535][64542] Loss_D: -0.024612 Loss_G: 0.019904 Loss_D_real: -0.009754 Loss_D_fake 0.014858
[627/5000][505/535][64543] Loss_D: -0.024424 Loss_G: 0.029954 Loss_D_real: -0.023067 Loss_D_fake 0.001358
[627/5000][510/535][64544] Loss_D: -0.025475 Loss_G: -0.000181 Loss_D_real: -0.016785 Loss_D_fake 0.008690
[627/5000][515/535][64545] Loss_D: -0.023141 Loss_G: 0.018197 Loss_D_real: -0.023764 Loss_D_fake -0.000623
[627/5000][520/535][64546] Loss_D: -0.023455 Loss_G: 0.015297 Loss_D_real: -0.012085 Loss_D_fake 0.011370
[627/5000][525/535][64547] Loss_D: -0.025476 Loss_G: 0.008372 Loss_D_real: -0.001993 Loss_D_fake 0.023483
[627/5000][530/535][64548] Loss_D: -0.024664 Loss_G: 0.014657 Loss_D_real: -0.016246 Loss_D_fake 0.008418
[627/5000][535/535][64549] Loss_D: -0.021455 Loss_G: 0.036093 Loss_D_real: -0.036915 Loss_D_fake -0.015460
[628/5000][5/535][64550] Loss_D: -0.024623 Loss_G: 0.008584 Loss_D_real: -0.011694 Loss_D_fake 0.012929
[628/5000][10/535][64551] Loss_D: -0.023448 Loss_G: 0.013433 Loss_D_real: -0.015903 Loss_D_fake 0.007545
[628/5000][15/535][64552] Loss_D: -0.025138 Loss_G: 0.020952 Loss_D_real: -0.015284 Loss_D_fake 0.009854
[628/5000][20/535][64553] Loss_D: -0.023120 Loss_G: -0.011528 Loss_D_real: -0.003766 Loss_D_fake 0.019354
[628/5000][25/535][64554] Loss_D: -0.025603 Loss_G: 0.027249 Loss_D_real: -0.022669 Loss_D_fake 0.002934
[628/5000][30/535][64555] Loss_D: -0.023984 Loss_G: 0.003087 Loss_D_real: 0.000667 Loss_D_fake 0.024650
[628/5000][35/535][64556] Loss_D: -0.023112 Loss_G: 0.020880 Loss_D_real: -0.023223 Loss_D_fake -0.000111
[628/5000][40/535][64557] Loss_D: -0.023934 Loss_G: 0.019748 Loss_D_real: -0.008555 Loss_D_fake 0.015380
[628/5000][45/535][64558] Loss_D: -0.023974 Loss_G: 0.006936 Loss_D_real: -0.009331 Loss_D_fake 0.014643
[628/5000][50/535][64559] Loss_D: -0.023840 Loss_G: 0.032158 Loss_D_real: -0.028081 Loss_D_fake -0.004241
[628/5000][55/535][64560] Loss_D: -0.025338 Loss_G: 0.002091 Loss_D_real: -0.013427 Loss_D_fake 0.011911
[628/5000][60/535][64561] Loss_D: -0.024057 Loss_G: -0.002325 Loss_D_real: -0.001860 Loss_D_fake 0.022196
[628/5000][65/535][64562] Loss_D: -0.025841 Loss_G: 0.018238 Loss_D_real: -0.012240 Loss_D_fake 0.013601
[628/5000][70/535][64563] Loss_D: -0.024087 Loss_G: -0.012648 Loss_D_real: -0.012255 Loss_D_fake 0.011833
[628/5000][75/535][64564] Loss_D: -0.023298 Loss_G: 0.037670 Loss_D_real: -0.026838 Loss_D_fake -0.003540
[628/5000][80/535][64565] Loss_D: -0.026326 Loss_G: 0.020422 Loss_D_real: -0.017242 Loss_D_fake 0.009084
[628/5000][85/535][64566] Loss_D: -0.024171 Loss_G: 0.026036 Loss_D_real: -0.025590 Loss_D_fake -0.001419
[628/5000][90/535][64567] Loss_D: -0.024057 Loss_G: 0.025808 Loss_D_real: -0.017220 Loss_D_fake 0.006837
[628/5000][95/535][64568] Loss_D: -0.024552 Loss_G: 0.022494 Loss_D_real: -0.021938 Loss_D_fake 0.002613
[628/5000][100/535][64569] Loss_D: -0.024163 Loss_G: 0.011210 Loss_D_real: -0.013740 Loss_D_fake 0.010423
[628/5000][105/535][64570] Loss_D: -0.024623 Loss_G: 0.019393 Loss_D_real: -0.003515 Loss_D_fake 0.021108
[628/5000][110/535][64571] Loss_D: -0.026160 Loss_G: 0.016492 Loss_D_real: -0.019670 Loss_D_fake 0.006490
[628/5000][115/535][64572] Loss_D: -0.023600 Loss_G: 0.026666 Loss_D_real: -0.019459 Loss_D_fake 0.004141
[628/5000][120/535][64573] Loss_D: -0.025419 Loss_G: 0.009550 Loss_D_real: -0.003094 Loss_D_fake 0.022325
[628/5000][125/535][64574] Loss_D: -0.025316 Loss_G: 0.012004 Loss_D_real: -0.012311 Loss_D_fake 0.013006
[628/5000][130/535][64575] Loss_D: -0.023948 Loss_G: 0.034298 Loss_D_real: -0.027100 Loss_D_fake -0.003152
[628/5000][135/535][64576] Loss_D: -0.024060 Loss_G: 0.026609 Loss_D_real: -0.023018 Loss_D_fake 0.001042
[628/5000][140/535][64577] Loss_D: -0.024346 Loss_G: -0.000076 Loss_D_real: -0.009625 Loss_D_fake 0.014721
[628/5000][145/535][64578] Loss_D: -0.025064 Loss_G: -0.000148 Loss_D_real: -0.011865 Loss_D_fake 0.013199
[628/5000][150/535][64579] Loss_D: -0.024210 Loss_G: 0.019453 Loss_D_real: -0.020475 Loss_D_fake 0.003734
[628/5000][155/535][64580] Loss_D: -0.023904 Loss_G: 0.030579 Loss_D_real: -0.031289 Loss_D_fake -0.007385
[628/5000][160/535][64581] Loss_D: -0.024723 Loss_G: 0.016895 Loss_D_real: -0.010906 Loss_D_fake 0.013817
[628/5000][165/535][64582] Loss_D: -0.023671 Loss_G: 0.024803 Loss_D_real: -0.022749 Loss_D_fake 0.000922
[628/5000][170/535][64583] Loss_D: -0.024235 Loss_G: 0.010887 Loss_D_real: -0.010764 Loss_D_fake 0.013471
[628/5000][175/535][64584] Loss_D: -0.023660 Loss_G: 0.017699 Loss_D_real: -0.014149 Loss_D_fake 0.009512
[628/5000][180/535][64585] Loss_D: -0.025936 Loss_G: 0.014922 Loss_D_real: -0.020086 Loss_D_fake 0.005850
[628/5000][185/535][64586] Loss_D: -0.023210 Loss_G: 0.003805 Loss_D_real: -0.005299 Loss_D_fake 0.017911
[628/5000][190/535][64587] Loss_D: -0.024297 Loss_G: 0.030330 Loss_D_real: -0.024183 Loss_D_fake 0.000114
[628/5000][195/535][64588] Loss_D: -0.024257 Loss_G: 0.018909 Loss_D_real: -0.004221 Loss_D_fake 0.020036
[628/5000][200/535][64589] Loss_D: -0.025139 Loss_G: 0.022574 Loss_D_real: -0.017300 Loss_D_fake 0.007839
[628/5000][205/535][64590] Loss_D: -0.025540 Loss_G: -0.003497 Loss_D_real: -0.009230 Loss_D_fake 0.016310
[628/5000][210/535][64591] Loss_D: -0.024298 Loss_G: 0.011046 Loss_D_real: -0.006422 Loss_D_fake 0.017876
[628/5000][215/535][64592] Loss_D: -0.024178 Loss_G: 0.010264 Loss_D_real: -0.003913 Loss_D_fake 0.020266
[628/5000][220/535][64593] Loss_D: -0.025396 Loss_G: 0.024201 Loss_D_real: -0.012151 Loss_D_fake 0.013245
[628/5000][225/535][64594] Loss_D: -0.024434 Loss_G: 0.006103 Loss_D_real: -0.005433 Loss_D_fake 0.019000
[628/5000][230/535][64595] Loss_D: -0.025088 Loss_G: 0.027993 Loss_D_real: -0.021745 Loss_D_fake 0.003343
[628/5000][235/535][64596] Loss_D: -0.024848 Loss_G: 0.009230 Loss_D_real: -0.017785 Loss_D_fake 0.007063
[628/5000][240/535][64597] Loss_D: -0.023560 Loss_G: 0.004522 Loss_D_real: -0.007655 Loss_D_fake 0.015905
[628/5000][245/535][64598] Loss_D: -0.024320 Loss_G: 0.012506 Loss_D_real: -0.014315 Loss_D_fake 0.010005
[628/5000][250/535][64599] Loss_D: -0.025059 Loss_G: 0.008549 Loss_D_real: -0.022063 Loss_D_fake 0.002996
[628/5000][255/535][64600] Loss_D: -0.025093 Loss_G: 0.020172 Loss_D_real: -0.021670 Loss_D_fake 0.003423
[628/5000][260/535][64601] Loss_D: -0.024745 Loss_G: -0.000977 Loss_D_real: -0.000580 Loss_D_fake 0.024166
[628/5000][265/535][64602] Loss_D: -0.023798 Loss_G: 0.026119 Loss_D_real: -0.022595 Loss_D_fake 0.001203
[628/5000][270/535][64603] Loss_D: -0.024961 Loss_G: 0.017872 Loss_D_real: -0.023934 Loss_D_fake 0.001027
[628/5000][275/535][64604] Loss_D: -0.025390 Loss_G: 0.021878 Loss_D_real: -0.021455 Loss_D_fake 0.003935
[628/5000][280/535][64605] Loss_D: -0.025766 Loss_G: 0.013740 Loss_D_real: -0.017573 Loss_D_fake 0.008194
[628/5000][285/535][64606] Loss_D: -0.024575 Loss_G: 0.030931 Loss_D_real: -0.028581 Loss_D_fake -0.004006
[628/5000][290/535][64607] Loss_D: -0.025879 Loss_G: 0.001510 Loss_D_real: -0.018933 Loss_D_fake 0.006946
[628/5000][295/535][64608] Loss_D: -0.024824 Loss_G: 0.027719 Loss_D_real: -0.024349 Loss_D_fake 0.000475
[628/5000][300/535][64609] Loss_D: -0.023940 Loss_G: -0.009194 Loss_D_real: 0.009320 Loss_D_fake 0.033260
[628/5000][305/535][64610] Loss_D: -0.022967 Loss_G: 0.033294 Loss_D_real: -0.021202 Loss_D_fake 0.001765
[628/5000][310/535][64611] Loss_D: -0.023584 Loss_G: 0.003967 Loss_D_real: -0.020453 Loss_D_fake 0.003131
[628/5000][315/535][64612] Loss_D: -0.024027 Loss_G: 0.018221 Loss_D_real: -0.010835 Loss_D_fake 0.013192
[628/5000][320/535][64613] Loss_D: -0.024523 Loss_G: 0.015116 Loss_D_real: -0.015216 Loss_D_fake 0.009308
[628/5000][325/535][64614] Loss_D: -0.025002 Loss_G: 0.016564 Loss_D_real: -0.018283 Loss_D_fake 0.006719
[628/5000][330/535][64615] Loss_D: -0.024550 Loss_G: 0.005647 Loss_D_real: -0.006327 Loss_D_fake 0.018223
[628/5000][335/535][64616] Loss_D: -0.025067 Loss_G: 0.014057 Loss_D_real: -0.017744 Loss_D_fake 0.007323
[628/5000][340/535][64617] Loss_D: -0.023306 Loss_G: 0.024509 Loss_D_real: -0.026703 Loss_D_fake -0.003397
[628/5000][345/535][64618] Loss_D: -0.023356 Loss_G: 0.018565 Loss_D_real: -0.017725 Loss_D_fake 0.005630
[628/5000][350/535][64619] Loss_D: -0.024585 Loss_G: -0.003516 Loss_D_real: -0.001085 Loss_D_fake 0.023499
[628/5000][355/535][64620] Loss_D: -0.024596 Loss_G: 0.023269 Loss_D_real: -0.009353 Loss_D_fake 0.015243
[628/5000][360/535][64621] Loss_D: -0.023794 Loss_G: 0.016616 Loss_D_real: -0.004996 Loss_D_fake 0.018798
[628/5000][365/535][64622] Loss_D: -0.024236 Loss_G: 0.021367 Loss_D_real: -0.020962 Loss_D_fake 0.003273
[628/5000][370/535][64623] Loss_D: -0.025095 Loss_G: 0.025639 Loss_D_real: -0.024286 Loss_D_fake 0.000809
[628/5000][375/535][64624] Loss_D: -0.025143 Loss_G: 0.019646 Loss_D_real: -0.021485 Loss_D_fake 0.003658
[628/5000][380/535][64625] Loss_D: -0.024153 Loss_G: 0.009262 Loss_D_real: -0.002818 Loss_D_fake 0.021336
[628/5000][385/535][64626] Loss_D: -0.023556 Loss_G: 0.026042 Loss_D_real: -0.026687 Loss_D_fake -0.003131
[628/5000][390/535][64627] Loss_D: -0.023765 Loss_G: 0.000746 Loss_D_real: -0.005854 Loss_D_fake 0.017911
[628/5000][395/535][64628] Loss_D: -0.024787 Loss_G: 0.014096 Loss_D_real: -0.014346 Loss_D_fake 0.010441
[628/5000][400/535][64629] Loss_D: -0.024027 Loss_G: 0.026269 Loss_D_real: -0.011140 Loss_D_fake 0.012886
[628/5000][405/535][64630] Loss_D: -0.025116 Loss_G: 0.001903 Loss_D_real: -0.006595 Loss_D_fake 0.018521
[628/5000][410/535][64631] Loss_D: -0.024755 Loss_G: 0.010563 Loss_D_real: -0.009607 Loss_D_fake 0.015148
[628/5000][415/535][64632] Loss_D: -0.025837 Loss_G: 0.034148 Loss_D_real: -0.026277 Loss_D_fake -0.000440
[628/5000][420/535][64633] Loss_D: -0.024480 Loss_G: 0.032962 Loss_D_real: -0.020233 Loss_D_fake 0.004248
[628/5000][425/535][64634] Loss_D: -0.025145 Loss_G: 0.023377 Loss_D_real: -0.019980 Loss_D_fake 0.005165
[628/5000][430/535][64635] Loss_D: -0.024704 Loss_G: -0.010486 Loss_D_real: 0.002046 Loss_D_fake 0.026750
[628/5000][435/535][64636] Loss_D: -0.023818 Loss_G: 0.013484 Loss_D_real: -0.011131 Loss_D_fake 0.012688
[628/5000][440/535][64637] Loss_D: -0.025588 Loss_G: -0.005694 Loss_D_real: -0.005985 Loss_D_fake 0.019603
[628/5000][445/535][64638] Loss_D: -0.024310 Loss_G: 0.026286 Loss_D_real: -0.023732 Loss_D_fake 0.000578
[628/5000][450/535][64639] Loss_D: -0.024906 Loss_G: 0.017704 Loss_D_real: -0.004184 Loss_D_fake 0.020722
[628/5000][455/535][64640] Loss_D: -0.023380 Loss_G: 0.018588 Loss_D_real: -0.023059 Loss_D_fake 0.000321
[628/5000][460/535][64641] Loss_D: -0.025040 Loss_G: 0.017392 Loss_D_real: -0.011869 Loss_D_fake 0.013171
[628/5000][465/535][64642] Loss_D: -0.026236 Loss_G: 0.011147 Loss_D_real: -0.012206 Loss_D_fake 0.014030
[628/5000][470/535][64643] Loss_D: -0.024282 Loss_G: 0.006306 Loss_D_real: -0.015850 Loss_D_fake 0.008432
[628/5000][475/535][64644] Loss_D: -0.024198 Loss_G: 0.011235 Loss_D_real: -0.018468 Loss_D_fake 0.005729
[628/5000][480/535][64645] Loss_D: -0.023625 Loss_G: -0.004248 Loss_D_real: -0.005381 Loss_D_fake 0.018244
[628/5000][485/535][64646] Loss_D: -0.024982 Loss_G: 0.004704 Loss_D_real: -0.008234 Loss_D_fake 0.016749
[628/5000][490/535][64647] Loss_D: -0.023518 Loss_G: 0.020137 Loss_D_real: -0.016888 Loss_D_fake 0.006629
[628/5000][495/535][64648] Loss_D: -0.024218 Loss_G: 0.022321 Loss_D_real: -0.014746 Loss_D_fake 0.009471
[628/5000][500/535][64649] Loss_D: -0.023230 Loss_G: -0.015666 Loss_D_real: 0.007237 Loss_D_fake 0.030467
[628/5000][505/535][64650] Loss_D: -0.023597 Loss_G: 0.023362 Loss_D_real: -0.022993 Loss_D_fake 0.000604
[628/5000][510/535][64651] Loss_D: -0.025440 Loss_G: -0.006583 Loss_D_real: -0.003029 Loss_D_fake 0.022412
[628/5000][515/535][64652] Loss_D: -0.023222 Loss_G: 0.025641 Loss_D_real: -0.018725 Loss_D_fake 0.004497
[628/5000][520/535][64653] Loss_D: -0.023760 Loss_G: 0.026943 Loss_D_real: -0.028452 Loss_D_fake -0.004692
[628/5000][525/535][64654] Loss_D: -0.024680 Loss_G: 0.008084 Loss_D_real: -0.006381 Loss_D_fake 0.018299
[628/5000][530/535][64655] Loss_D: -0.024347 Loss_G: 0.016529 Loss_D_real: -0.002396 Loss_D_fake 0.021951
[628/5000][535/535][64656] Loss_D: -0.023797 Loss_G: 0.030956 Loss_D_real: -0.030143 Loss_D_fake -0.006346
[629/5000][5/535][64657] Loss_D: -0.023886 Loss_G: 0.035762 Loss_D_real: -0.025472 Loss_D_fake -0.001586
[629/5000][10/535][64658] Loss_D: -0.024606 Loss_G: 0.024336 Loss_D_real: -0.019418 Loss_D_fake 0.005188
[629/5000][15/535][64659] Loss_D: -0.025971 Loss_G: 0.017036 Loss_D_real: -0.025203 Loss_D_fake 0.000769
[629/5000][20/535][64660] Loss_D: -0.024026 Loss_G: 0.009682 Loss_D_real: -0.008150 Loss_D_fake 0.015876
[629/5000][25/535][64661] Loss_D: -0.025130 Loss_G: 0.013867 Loss_D_real: -0.011515 Loss_D_fake 0.013615
[629/5000][30/535][64662] Loss_D: -0.024725 Loss_G: 0.008907 Loss_D_real: -0.018136 Loss_D_fake 0.006589
[629/5000][35/535][64663] Loss_D: -0.025225 Loss_G: 0.023725 Loss_D_real: -0.026330 Loss_D_fake -0.001105
[629/5000][40/535][64664] Loss_D: -0.026447 Loss_G: 0.015656 Loss_D_real: -0.016857 Loss_D_fake 0.009589
[629/5000][45/535][64665] Loss_D: -0.024995 Loss_G: 0.020816 Loss_D_real: -0.021351 Loss_D_fake 0.003644
[629/5000][50/535][64666] Loss_D: -0.024151 Loss_G: 0.026696 Loss_D_real: -0.026083 Loss_D_fake -0.001932
[629/5000][55/535][64667] Loss_D: -0.024720 Loss_G: 0.021431 Loss_D_real: -0.026996 Loss_D_fake -0.002277
[629/5000][60/535][64668] Loss_D: -0.025561 Loss_G: 0.004984 Loss_D_real: -0.014144 Loss_D_fake 0.011417
[629/5000][65/535][64669] Loss_D: -0.024279 Loss_G: 0.024322 Loss_D_real: -0.015030 Loss_D_fake 0.009250
[629/5000][70/535][64670] Loss_D: -0.022791 Loss_G: -0.003194 Loss_D_real: 0.001739 Loss_D_fake 0.024530
[629/5000][75/535][64671] Loss_D: -0.024937 Loss_G: 0.010907 Loss_D_real: -0.014674 Loss_D_fake 0.010263
[629/5000][80/535][64672] Loss_D: -0.023975 Loss_G: 0.010384 Loss_D_real: -0.006821 Loss_D_fake 0.017154
[629/5000][85/535][64673] Loss_D: -0.025042 Loss_G: 0.036325 Loss_D_real: -0.030168 Loss_D_fake -0.005126
[629/5000][90/535][64674] Loss_D: -0.024052 Loss_G: 0.011788 Loss_D_real: -0.012163 Loss_D_fake 0.011889
[629/5000][95/535][64675] Loss_D: -0.025145 Loss_G: -0.006092 Loss_D_real: 0.003431 Loss_D_fake 0.028576
[629/5000][100/535][64676] Loss_D: -0.023267 Loss_G: 0.017239 Loss_D_real: -0.015449 Loss_D_fake 0.007817
[629/5000][105/535][64677] Loss_D: -0.022673 Loss_G: 0.025767 Loss_D_real: -0.025690 Loss_D_fake -0.003018
[629/5000][110/535][64678] Loss_D: -0.023381 Loss_G: 0.036299 Loss_D_real: -0.031341 Loss_D_fake -0.007959
[629/5000][115/535][64679] Loss_D: -0.023480 Loss_G: 0.034642 Loss_D_real: -0.026381 Loss_D_fake -0.002901
[629/5000][120/535][64680] Loss_D: -0.025691 Loss_G: 0.013639 Loss_D_real: -0.011656 Loss_D_fake 0.014035
[629/5000][125/535][64681] Loss_D: -0.025034 Loss_G: 0.016403 Loss_D_real: -0.018249 Loss_D_fake 0.006785
[629/5000][130/535][64682] Loss_D: -0.024032 Loss_G: 0.000740 Loss_D_real: -0.008597 Loss_D_fake 0.015435
[629/5000][135/535][64683] Loss_D: -0.024438 Loss_G: 0.031269 Loss_D_real: -0.019178 Loss_D_fake 0.005260
[629/5000][140/535][64684] Loss_D: -0.024549 Loss_G: -0.003910 Loss_D_real: -0.010930 Loss_D_fake 0.013620
[629/5000][145/535][64685] Loss_D: -0.023881 Loss_G: -0.001324 Loss_D_real: -0.000648 Loss_D_fake 0.023233
[629/5000][150/535][64686] Loss_D: -0.023834 Loss_G: -0.001621 Loss_D_real: 0.000224 Loss_D_fake 0.024058
[629/5000][155/535][64687] Loss_D: -0.023887 Loss_G: 0.022913 Loss_D_real: -0.017173 Loss_D_fake 0.006715
[629/5000][160/535][64688] Loss_D: -0.024174 Loss_G: 0.006174 Loss_D_real: -0.011834 Loss_D_fake 0.012339
[629/5000][165/535][64689] Loss_D: -0.024456 Loss_G: -0.001207 Loss_D_real: -0.012644 Loss_D_fake 0.011812
[629/5000][170/535][64690] Loss_D: -0.024693 Loss_G: -0.001661 Loss_D_real: -0.003850 Loss_D_fake 0.020843
[629/5000][175/535][64691] Loss_D: -0.022363 Loss_G: 0.027531 Loss_D_real: -0.020855 Loss_D_fake 0.001508
[629/5000][180/535][64692] Loss_D: -0.024713 Loss_G: -0.000893 Loss_D_real: 0.006100 Loss_D_fake 0.030813
[629/5000][185/535][64693] Loss_D: -0.023423 Loss_G: 0.021349 Loss_D_real: -0.025050 Loss_D_fake -0.001627
[629/5000][190/535][64694] Loss_D: -0.024075 Loss_G: -0.004119 Loss_D_real: -0.000466 Loss_D_fake 0.023609
[629/5000][195/535][64695] Loss_D: -0.024701 Loss_G: 0.032636 Loss_D_real: -0.017446 Loss_D_fake 0.007255
[629/5000][200/535][64696] Loss_D: -0.024571 Loss_G: 0.015877 Loss_D_real: -0.010458 Loss_D_fake 0.014113
[629/5000][205/535][64697] Loss_D: -0.025773 Loss_G: 0.018860 Loss_D_real: -0.024037 Loss_D_fake 0.001736
[629/5000][210/535][64698] Loss_D: -0.025885 Loss_G: 0.011796 Loss_D_real: -0.020932 Loss_D_fake 0.004953
[629/5000][215/535][64699] Loss_D: -0.024723 Loss_G: 0.018154 Loss_D_real: -0.015604 Loss_D_fake 0.009119
[629/5000][220/535][64700] Loss_D: -0.024997 Loss_G: 0.029240 Loss_D_real: -0.016571 Loss_D_fake 0.008427
[629/5000][225/535][64701] Loss_D: -0.024010 Loss_G: 0.016981 Loss_D_real: -0.015805 Loss_D_fake 0.008206
[629/5000][230/535][64702] Loss_D: -0.025394 Loss_G: 0.015302 Loss_D_real: -0.011367 Loss_D_fake 0.014027
[629/5000][235/535][64703] Loss_D: -0.022550 Loss_G: 0.019712 Loss_D_real: -0.028364 Loss_D_fake -0.005814
[629/5000][240/535][64704] Loss_D: -0.025030 Loss_G: 0.019258 Loss_D_real: -0.012598 Loss_D_fake 0.012432
[629/5000][245/535][64705] Loss_D: -0.025336 Loss_G: 0.032345 Loss_D_real: -0.024657 Loss_D_fake 0.000679
[629/5000][250/535][64706] Loss_D: -0.024239 Loss_G: 0.002629 Loss_D_real: -0.009700 Loss_D_fake 0.014538
[629/5000][255/535][64707] Loss_D: -0.025243 Loss_G: 0.019187 Loss_D_real: -0.018512 Loss_D_fake 0.006731
[629/5000][260/535][64708] Loss_D: -0.026304 Loss_G: 0.022816 Loss_D_real: -0.016116 Loss_D_fake 0.010188
[629/5000][265/535][64709] Loss_D: -0.026104 Loss_G: 0.003581 Loss_D_real: -0.007295 Loss_D_fake 0.018809
[629/5000][270/535][64710] Loss_D: -0.024427 Loss_G: 0.030262 Loss_D_real: -0.024851 Loss_D_fake -0.000424
[629/5000][275/535][64711] Loss_D: -0.024173 Loss_G: -0.000709 Loss_D_real: -0.007222 Loss_D_fake 0.016952
[629/5000][280/535][64712] Loss_D: -0.023727 Loss_G: 0.011025 Loss_D_real: -0.012331 Loss_D_fake 0.011395
[629/5000][285/535][64713] Loss_D: -0.025022 Loss_G: 0.020382 Loss_D_real: -0.020726 Loss_D_fake 0.004296
[629/5000][290/535][64714] Loss_D: -0.025636 Loss_G: 0.008789 Loss_D_real: -0.005224 Loss_D_fake 0.020412
[629/5000][295/535][64715] Loss_D: -0.024051 Loss_G: 0.018304 Loss_D_real: -0.013963 Loss_D_fake 0.010089
[629/5000][300/535][64716] Loss_D: -0.023903 Loss_G: 0.018792 Loss_D_real: -0.023139 Loss_D_fake 0.000764
[629/5000][305/535][64717] Loss_D: -0.024988 Loss_G: 0.016331 Loss_D_real: -0.020178 Loss_D_fake 0.004810
[629/5000][310/535][64718] Loss_D: -0.023132 Loss_G: 0.032026 Loss_D_real: -0.032251 Loss_D_fake -0.009118
[629/5000][315/535][64719] Loss_D: -0.023934 Loss_G: 0.012885 Loss_D_real: -0.005243 Loss_D_fake 0.018692
[629/5000][320/535][64720] Loss_D: -0.025439 Loss_G: 0.004283 Loss_D_real: -0.021183 Loss_D_fake 0.004256
[629/5000][325/535][64721] Loss_D: -0.022087 Loss_G: 0.027663 Loss_D_real: -0.018576 Loss_D_fake 0.003511
[629/5000][330/535][64722] Loss_D: -0.024227 Loss_G: 0.011682 Loss_D_real: -0.012503 Loss_D_fake 0.011724
[629/5000][335/535][64723] Loss_D: -0.024564 Loss_G: -0.005318 Loss_D_real: -0.010082 Loss_D_fake 0.014482
[629/5000][340/535][64724] Loss_D: -0.020293 Loss_G: 0.032542 Loss_D_real: -0.024753 Loss_D_fake -0.004460
[629/5000][345/535][64725] Loss_D: -0.025346 Loss_G: 0.020702 Loss_D_real: -0.022593 Loss_D_fake 0.002753
[629/5000][350/535][64726] Loss_D: -0.024286 Loss_G: 0.021704 Loss_D_real: -0.015027 Loss_D_fake 0.009259
[629/5000][355/535][64727] Loss_D: -0.025735 Loss_G: 0.025673 Loss_D_real: -0.024247 Loss_D_fake 0.001488
[629/5000][360/535][64728] Loss_D: -0.024833 Loss_G: 0.015184 Loss_D_real: -0.020767 Loss_D_fake 0.004066
[629/5000][365/535][64729] Loss_D: -0.024530 Loss_G: -0.004262 Loss_D_real: 0.012917 Loss_D_fake 0.037447
[629/5000][370/535][64730] Loss_D: -0.024767 Loss_G: 0.009736 Loss_D_real: -0.013108 Loss_D_fake 0.011659
[629/5000][375/535][64731] Loss_D: -0.024153 Loss_G: 0.008412 Loss_D_real: -0.013454 Loss_D_fake 0.010699
[629/5000][380/535][64732] Loss_D: -0.025174 Loss_G: 0.012796 Loss_D_real: -0.004209 Loss_D_fake 0.020965
[629/5000][385/535][64733] Loss_D: -0.021710 Loss_G: -0.013784 Loss_D_real: 0.006600 Loss_D_fake 0.028309
[629/5000][390/535][64734] Loss_D: -0.023954 Loss_G: 0.029856 Loss_D_real: -0.022760 Loss_D_fake 0.001193
[629/5000][395/535][64735] Loss_D: -0.024664 Loss_G: 0.013504 Loss_D_real: -0.015337 Loss_D_fake 0.009327
[629/5000][400/535][64736] Loss_D: -0.024831 Loss_G: 0.016349 Loss_D_real: -0.020108 Loss_D_fake 0.004722
[629/5000][405/535][64737] Loss_D: -0.025316 Loss_G: 0.023867 Loss_D_real: -0.014918 Loss_D_fake 0.010398
[629/5000][410/535][64738] Loss_D: -0.024678 Loss_G: 0.038614 Loss_D_real: -0.031252 Loss_D_fake -0.006574
[629/5000][415/535][64739] Loss_D: -0.025275 Loss_G: 0.003893 Loss_D_real: -0.012870 Loss_D_fake 0.012405
[629/5000][420/535][64740] Loss_D: -0.024385 Loss_G: 0.017859 Loss_D_real: -0.007235 Loss_D_fake 0.017150
[629/5000][425/535][64741] Loss_D: -0.025254 Loss_G: 0.015257 Loss_D_real: -0.011224 Loss_D_fake 0.014030
[629/5000][430/535][64742] Loss_D: -0.025154 Loss_G: 0.004609 Loss_D_real: -0.014425 Loss_D_fake 0.010729
[629/5000][435/535][64743] Loss_D: -0.024101 Loss_G: 0.010654 Loss_D_real: -0.017091 Loss_D_fake 0.007010
[629/5000][440/535][64744] Loss_D: -0.023556 Loss_G: 0.018745 Loss_D_real: -0.023654 Loss_D_fake -0.000098
[629/5000][445/535][64745] Loss_D: -0.023986 Loss_G: 0.004010 Loss_D_real: -0.012794 Loss_D_fake 0.011192
[629/5000][450/535][64746] Loss_D: -0.024032 Loss_G: 0.007386 Loss_D_real: -0.012782 Loss_D_fake 0.011249
[629/5000][455/535][64747] Loss_D: -0.024561 Loss_G: 0.009478 Loss_D_real: -0.014375 Loss_D_fake 0.010186
[629/5000][460/535][64748] Loss_D: -0.025278 Loss_G: 0.018008 Loss_D_real: -0.013712 Loss_D_fake 0.011566
[629/5000][465/535][64749] Loss_D: -0.024536 Loss_G: 0.032852 Loss_D_real: -0.020751 Loss_D_fake 0.003785
[629/5000][470/535][64750] Loss_D: -0.024112 Loss_G: 0.001181 Loss_D_real: 0.006785 Loss_D_fake 0.030897
[629/5000][475/535][64751] Loss_D: -0.025917 Loss_G: 0.020877 Loss_D_real: -0.017414 Loss_D_fake 0.008502
[629/5000][480/535][64752] Loss_D: -0.025723 Loss_G: 0.000882 Loss_D_real: -0.010446 Loss_D_fake 0.015277
[629/5000][485/535][64753] Loss_D: -0.024264 Loss_G: 0.012656 Loss_D_real: -0.013323 Loss_D_fake 0.010941
[629/5000][490/535][64754] Loss_D: -0.024090 Loss_G: 0.020390 Loss_D_real: -0.027299 Loss_D_fake -0.003209
[629/5000][495/535][64755] Loss_D: -0.024205 Loss_G: 0.033974 Loss_D_real: -0.024822 Loss_D_fake -0.000618
[629/5000][500/535][64756] Loss_D: -0.026132 Loss_G: 0.016231 Loss_D_real: -0.025023 Loss_D_fake 0.001109
[629/5000][505/535][64757] Loss_D: -0.023321 Loss_G: 0.027292 Loss_D_real: -0.024514 Loss_D_fake -0.001193
[629/5000][510/535][64758] Loss_D: -0.023944 Loss_G: 0.013025 Loss_D_real: -0.020550 Loss_D_fake 0.003394
[629/5000][515/535][64759] Loss_D: -0.023983 Loss_G: 0.000098 Loss_D_real: -0.006482 Loss_D_fake 0.017501
[629/5000][520/535][64760] Loss_D: -0.024196 Loss_G: 0.019428 Loss_D_real: -0.014903 Loss_D_fake 0.009293
[629/5000][525/535][64761] Loss_D: -0.024827 Loss_G: 0.015897 Loss_D_real: -0.012729 Loss_D_fake 0.012098
[629/5000][530/535][64762] Loss_D: -0.024209 Loss_G: -0.011724 Loss_D_real: -0.004670 Loss_D_fake 0.019539
[629/5000][535/535][64763] Loss_D: -0.024891 Loss_G: -0.013615 Loss_D_real: -0.016406 Loss_D_fake 0.008485
[630/5000][5/535][64764] Loss_D: -0.024189 Loss_G: 0.026227 Loss_D_real: -0.021138 Loss_D_fake 0.003051
[630/5000][10/535][64765] Loss_D: -0.024580 Loss_G: 0.011421 Loss_D_real: -0.018082 Loss_D_fake 0.006497
[630/5000][15/535][64766] Loss_D: -0.024404 Loss_G: 0.042388 Loss_D_real: -0.033406 Loss_D_fake -0.009001
[630/5000][20/535][64767] Loss_D: -0.025525 Loss_G: 0.013456 Loss_D_real: -0.007909 Loss_D_fake 0.017616
[630/5000][25/535][64768] Loss_D: -0.025467 Loss_G: 0.005481 Loss_D_real: -0.004078 Loss_D_fake 0.021388
[630/5000][30/535][64769] Loss_D: -0.024399 Loss_G: 0.024087 Loss_D_real: -0.009018 Loss_D_fake 0.015381
[630/5000][35/535][64770] Loss_D: -0.024970 Loss_G: 0.017436 Loss_D_real: -0.024147 Loss_D_fake 0.000823
[630/5000][40/535][64771] Loss_D: -0.023270 Loss_G: 0.012700 Loss_D_real: -0.012550 Loss_D_fake 0.010721
[630/5000][45/535][64772] Loss_D: -0.024482 Loss_G: 0.010009 Loss_D_real: -0.015833 Loss_D_fake 0.008649
[630/5000][50/535][64773] Loss_D: -0.024383 Loss_G: 0.028756 Loss_D_real: -0.026060 Loss_D_fake -0.001677
[630/5000][55/535][64774] Loss_D: -0.025143 Loss_G: -0.007110 Loss_D_real: -0.004788 Loss_D_fake 0.020355
[630/5000][60/535][64775] Loss_D: -0.025724 Loss_G: 0.020842 Loss_D_real: -0.020613 Loss_D_fake 0.005110
[630/5000][65/535][64776] Loss_D: -0.024837 Loss_G: 0.026851 Loss_D_real: -0.021893 Loss_D_fake 0.002944
[630/5000][70/535][64777] Loss_D: -0.022287 Loss_G: 0.019847 Loss_D_real: -0.022572 Loss_D_fake -0.000286
[630/5000][75/535][64778] Loss_D: -0.025800 Loss_G: 0.023754 Loss_D_real: -0.021482 Loss_D_fake 0.004317
[630/5000][80/535][64779] Loss_D: -0.024080 Loss_G: 0.018887 Loss_D_real: -0.003321 Loss_D_fake 0.020759
[630/5000][85/535][64780] Loss_D: -0.024116 Loss_G: 0.015877 Loss_D_real: -0.022375 Loss_D_fake 0.001740
[630/5000][90/535][64781] Loss_D: -0.023929 Loss_G: 0.018940 Loss_D_real: -0.016287 Loss_D_fake 0.007642
[630/5000][95/535][64782] Loss_D: -0.025492 Loss_G: 0.033286 Loss_D_real: -0.024325 Loss_D_fake 0.001167
[630/5000][100/535][64783] Loss_D: -0.024633 Loss_G: 0.001561 Loss_D_real: -0.005124 Loss_D_fake 0.019509
[630/5000][105/535][64784] Loss_D: -0.024600 Loss_G: 0.021208 Loss_D_real: -0.012848 Loss_D_fake 0.011752
[630/5000][110/535][64785] Loss_D: -0.025987 Loss_G: 0.008514 Loss_D_real: -0.011627 Loss_D_fake 0.014360
[630/5000][115/535][64786] Loss_D: -0.022690 Loss_G: 0.031394 Loss_D_real: -0.023573 Loss_D_fake -0.000883
[630/5000][120/535][64787] Loss_D: -0.023766 Loss_G: 0.008181 Loss_D_real: -0.007144 Loss_D_fake 0.016622
[630/5000][125/535][64788] Loss_D: -0.025245 Loss_G: 0.003150 Loss_D_real: -0.012347 Loss_D_fake 0.012898
[630/5000][130/535][64789] Loss_D: -0.024519 Loss_G: 0.003196 Loss_D_real: -0.005593 Loss_D_fake 0.018926
[630/5000][135/535][64790] Loss_D: -0.022072 Loss_G: -0.007395 Loss_D_real: 0.002364 Loss_D_fake 0.024436
[630/5000][140/535][64791] Loss_D: -0.023559 Loss_G: -0.000671 Loss_D_real: -0.016599 Loss_D_fake 0.006960
[630/5000][145/535][64792] Loss_D: -0.024348 Loss_G: 0.034851 Loss_D_real: -0.023549 Loss_D_fake 0.000800
[630/5000][150/535][64793] Loss_D: -0.024139 Loss_G: 0.007874 Loss_D_real: -0.011499 Loss_D_fake 0.012640
[630/5000][155/535][64794] Loss_D: -0.024410 Loss_G: 0.011562 Loss_D_real: -0.018661 Loss_D_fake 0.005749
[630/5000][160/535][64795] Loss_D: -0.024668 Loss_G: 0.021602 Loss_D_real: -0.013914 Loss_D_fake 0.010754
[630/5000][165/535][64796] Loss_D: -0.024446 Loss_G: -0.003459 Loss_D_real: 0.000421 Loss_D_fake 0.024867
[630/5000][170/535][64797] Loss_D: -0.023319 Loss_G: 0.017413 Loss_D_real: -0.027592 Loss_D_fake -0.004273
[630/5000][175/535][64798] Loss_D: -0.023893 Loss_G: 0.031089 Loss_D_real: -0.026428 Loss_D_fake -0.002535
[630/5000][180/535][64799] Loss_D: -0.024940 Loss_G: 0.014500 Loss_D_real: -0.023923 Loss_D_fake 0.001017
[630/5000][185/535][64800] Loss_D: -0.024459 Loss_G: 0.016423 Loss_D_real: -0.015678 Loss_D_fake 0.008781
[630/5000][190/535][64801] Loss_D: -0.024821 Loss_G: 0.002009 Loss_D_real: -0.014428 Loss_D_fake 0.010394
[630/5000][195/535][64802] Loss_D: -0.025279 Loss_G: 0.001641 Loss_D_real: -0.021638 Loss_D_fake 0.003642
[630/5000][200/535][64803] Loss_D: -0.025729 Loss_G: 0.016173 Loss_D_real: -0.017394 Loss_D_fake 0.008335
[630/5000][205/535][64804] Loss_D: -0.024335 Loss_G: -0.010469 Loss_D_real: 0.002262 Loss_D_fake 0.026597
[630/5000][210/535][64805] Loss_D: -0.023038 Loss_G: 0.012344 Loss_D_real: -0.008779 Loss_D_fake 0.014258
[630/5000][215/535][64806] Loss_D: -0.025078 Loss_G: 0.010025 Loss_D_real: -0.006905 Loss_D_fake 0.018173
[630/5000][220/535][64807] Loss_D: -0.026166 Loss_G: 0.011889 Loss_D_real: -0.013650 Loss_D_fake 0.012517
[630/5000][225/535][64808] Loss_D: -0.022685 Loss_G: 0.028398 Loss_D_real: -0.027046 Loss_D_fake -0.004361
[630/5000][230/535][64809] Loss_D: -0.025213 Loss_G: -0.004872 Loss_D_real: -0.002913 Loss_D_fake 0.022300
[630/5000][235/535][64810] Loss_D: -0.024126 Loss_G: 0.017880 Loss_D_real: -0.022848 Loss_D_fake 0.001278
[630/5000][240/535][64811] Loss_D: -0.024752 Loss_G: 0.014238 Loss_D_real: -0.020754 Loss_D_fake 0.003998
[630/5000][245/535][64812] Loss_D: -0.024418 Loss_G: -0.009367 Loss_D_real: -0.007393 Loss_D_fake 0.017024
[630/5000][250/535][64813] Loss_D: -0.024800 Loss_G: 0.025237 Loss_D_real: -0.021238 Loss_D_fake 0.003562
[630/5000][255/535][64814] Loss_D: -0.023495 Loss_G: 0.007508 Loss_D_real: -0.002536 Loss_D_fake 0.020958
[630/5000][260/535][64815] Loss_D: -0.023923 Loss_G: 0.009706 Loss_D_real: -0.004264 Loss_D_fake 0.019659
[630/5000][265/535][64816] Loss_D: -0.024293 Loss_G: 0.011457 Loss_D_real: -0.003963 Loss_D_fake 0.020330
[630/5000][270/535][64817] Loss_D: -0.023588 Loss_G: 0.017352 Loss_D_real: -0.023474 Loss_D_fake 0.000114
[630/5000][275/535][64818] Loss_D: -0.025330 Loss_G: 0.023220 Loss_D_real: -0.013935 Loss_D_fake 0.011395
[630/5000][280/535][64819] Loss_D: -0.024655 Loss_G: -0.003882 Loss_D_real: -0.003412 Loss_D_fake 0.021243
[630/5000][285/535][64820] Loss_D: -0.024255 Loss_G: 0.019087 Loss_D_real: -0.020309 Loss_D_fake 0.003946
[630/5000][290/535][64821] Loss_D: -0.023928 Loss_G: 0.009208 Loss_D_real: 0.003267 Loss_D_fake 0.027195
[630/5000][295/535][64822] Loss_D: -0.023885 Loss_G: 0.009956 Loss_D_real: -0.013009 Loss_D_fake 0.010876
[630/5000][300/535][64823] Loss_D: -0.025014 Loss_G: 0.002747 Loss_D_real: -0.010285 Loss_D_fake 0.014729
[630/5000][305/535][64824] Loss_D: -0.023985 Loss_G: 0.023865 Loss_D_real: -0.019852 Loss_D_fake 0.004132
[630/5000][310/535][64825] Loss_D: -0.025212 Loss_G: 0.013483 Loss_D_real: -0.022301 Loss_D_fake 0.002911
[630/5000][315/535][64826] Loss_D: -0.024306 Loss_G: 0.018430 Loss_D_real: -0.016277 Loss_D_fake 0.008028
[630/5000][320/535][64827] Loss_D: -0.023538 Loss_G: 0.032911 Loss_D_real: -0.039315 Loss_D_fake -0.015777
[630/5000][325/535][64828] Loss_D: -0.023977 Loss_G: 0.020173 Loss_D_real: -0.020509 Loss_D_fake 0.003468
[630/5000][330/535][64829] Loss_D: -0.024515 Loss_G: -0.009708 Loss_D_real: 0.006289 Loss_D_fake 0.030804
[630/5000][335/535][64830] Loss_D: -0.023942 Loss_G: 0.000048 Loss_D_real: -0.002419 Loss_D_fake 0.021523
[630/5000][340/535][64831] Loss_D: -0.024440 Loss_G: 0.005256 Loss_D_real: -0.016651 Loss_D_fake 0.007789
[630/5000][345/535][64832] Loss_D: -0.023347 Loss_G: 0.025343 Loss_D_real: -0.026005 Loss_D_fake -0.002658
[630/5000][350/535][64833] Loss_D: -0.024156 Loss_G: 0.000909 Loss_D_real: -0.002467 Loss_D_fake 0.021689
[630/5000][355/535][64834] Loss_D: -0.022571 Loss_G: 0.006723 Loss_D_real: -0.011892 Loss_D_fake 0.010680
[630/5000][360/535][64835] Loss_D: -0.024411 Loss_G: 0.013176 Loss_D_real: -0.014853 Loss_D_fake 0.009558
[630/5000][365/535][64836] Loss_D: -0.025441 Loss_G: 0.011111 Loss_D_real: -0.012429 Loss_D_fake 0.013012
[630/5000][370/535][64837] Loss_D: -0.025271 Loss_G: 0.023574 Loss_D_real: -0.026658 Loss_D_fake -0.001387
[630/5000][375/535][64838] Loss_D: -0.024219 Loss_G: 0.022639 Loss_D_real: -0.020574 Loss_D_fake 0.003645
[630/5000][380/535][64839] Loss_D: -0.024568 Loss_G: 0.006830 Loss_D_real: -0.018402 Loss_D_fake 0.006166
[630/5000][385/535][64840] Loss_D: -0.025146 Loss_G: 0.029527 Loss_D_real: -0.028212 Loss_D_fake -0.003066
[630/5000][390/535][64841] Loss_D: -0.024754 Loss_G: 0.015768 Loss_D_real: -0.026625 Loss_D_fake -0.001871
[630/5000][395/535][64842] Loss_D: -0.024384 Loss_G: 0.025396 Loss_D_real: -0.023468 Loss_D_fake 0.000915
[630/5000][400/535][64843] Loss_D: -0.024753 Loss_G: 0.002739 Loss_D_real: -0.004442 Loss_D_fake 0.020310
[630/5000][405/535][64844] Loss_D: -0.024747 Loss_G: 0.005767 Loss_D_real: -0.018721 Loss_D_fake 0.006025
[630/5000][410/535][64845] Loss_D: -0.023160 Loss_G: 0.023253 Loss_D_real: -0.026531 Loss_D_fake -0.003370
[630/5000][415/535][64846] Loss_D: -0.025783 Loss_G: 0.007397 Loss_D_real: -0.011757 Loss_D_fake 0.014026
[630/5000][420/535][64847] Loss_D: -0.025318 Loss_G: 0.011935 Loss_D_real: -0.014281 Loss_D_fake 0.011037
[630/5000][425/535][64848] Loss_D: -0.025424 Loss_G: 0.016044 Loss_D_real: -0.023359 Loss_D_fake 0.002065
[630/5000][430/535][64849] Loss_D: -0.024819 Loss_G: 0.024126 Loss_D_real: -0.023584 Loss_D_fake 0.001235
[630/5000][435/535][64850] Loss_D: -0.025822 Loss_G: 0.014711 Loss_D_real: -0.012990 Loss_D_fake 0.012832
[630/5000][440/535][64851] Loss_D: -0.025260 Loss_G: 0.020583 Loss_D_real: -0.010060 Loss_D_fake 0.015200
[630/5000][445/535][64852] Loss_D: -0.025041 Loss_G: 0.016016 Loss_D_real: -0.019160 Loss_D_fake 0.005881
[630/5000][450/535][64853] Loss_D: -0.025365 Loss_G: 0.011811 Loss_D_real: -0.014502 Loss_D_fake 0.010862
[630/5000][455/535][64854] Loss_D: -0.025286 Loss_G: -0.004610 Loss_D_real: 0.002025 Loss_D_fake 0.027311
[630/5000][460/535][64855] Loss_D: -0.025502 Loss_G: 0.014339 Loss_D_real: -0.022977 Loss_D_fake 0.002525
[630/5000][465/535][64856] Loss_D: -0.024153 Loss_G: 0.027624 Loss_D_real: -0.025703 Loss_D_fake -0.001550
[630/5000][470/535][64857] Loss_D: -0.023673 Loss_G: 0.022982 Loss_D_real: -0.024719 Loss_D_fake -0.001046
[630/5000][475/535][64858] Loss_D: -0.023862 Loss_G: 0.030884 Loss_D_real: -0.025798 Loss_D_fake -0.001935
[630/5000][480/535][64859] Loss_D: -0.024113 Loss_G: 0.001810 Loss_D_real: -0.001866 Loss_D_fake 0.022247
[630/5000][485/535][64860] Loss_D: -0.023692 Loss_G: -0.000157 Loss_D_real: 0.000100 Loss_D_fake 0.023792
[630/5000][490/535][64861] Loss_D: -0.024540 Loss_G: 0.035670 Loss_D_real: -0.027140 Loss_D_fake -0.002600
[630/5000][495/535][64862] Loss_D: -0.024064 Loss_G: -0.005017 Loss_D_real: -0.007020 Loss_D_fake 0.017044
[630/5000][500/535][64863] Loss_D: -0.024639 Loss_G: -0.003801 Loss_D_real: -0.007502 Loss_D_fake 0.017137
[630/5000][505/535][64864] Loss_D: -0.024915 Loss_G: 0.028600 Loss_D_real: -0.023663 Loss_D_fake 0.001252
[630/5000][510/535][64865] Loss_D: -0.024093 Loss_G: 0.020936 Loss_D_real: -0.023722 Loss_D_fake 0.000371
[630/5000][515/535][64866] Loss_D: -0.024705 Loss_G: 0.026826 Loss_D_real: -0.024875 Loss_D_fake -0.000170
[630/5000][520/535][64867] Loss_D: -0.024242 Loss_G: 0.022027 Loss_D_real: -0.021050 Loss_D_fake 0.003192
[630/5000][525/535][64868] Loss_D: -0.024224 Loss_G: 0.030056 Loss_D_real: -0.028772 Loss_D_fake -0.004548
[630/5000][530/535][64869] Loss_D: -0.024094 Loss_G: 0.035980 Loss_D_real: -0.032448 Loss_D_fake -0.008354
[630/5000][535/535][64870] Loss_D: -0.025251 Loss_G: -0.015907 Loss_D_real: -0.012235 Loss_D_fake 0.013017
[631/5000][5/535][64871] Loss_D: -0.023716 Loss_G: 0.023242 Loss_D_real: -0.021227 Loss_D_fake 0.002489
[631/5000][10/535][64872] Loss_D: -0.024193 Loss_G: 0.016295 Loss_D_real: -0.013523 Loss_D_fake 0.010670
[631/5000][15/535][64873] Loss_D: -0.024667 Loss_G: 0.007485 Loss_D_real: -0.021853 Loss_D_fake 0.002814
[631/5000][20/535][64874] Loss_D: -0.024640 Loss_G: 0.005748 Loss_D_real: -0.011386 Loss_D_fake 0.013254
[631/5000][25/535][64875] Loss_D: -0.023454 Loss_G: 0.025182 Loss_D_real: -0.012957 Loss_D_fake 0.010497
[631/5000][30/535][64876] Loss_D: -0.024996 Loss_G: 0.015555 Loss_D_real: -0.019301 Loss_D_fake 0.005695
[631/5000][35/535][64877] Loss_D: -0.024778 Loss_G: 0.005970 Loss_D_real: -0.013337 Loss_D_fake 0.011441
[631/5000][40/535][64878] Loss_D: -0.023010 Loss_G: 0.025829 Loss_D_real: -0.031146 Loss_D_fake -0.008136
[631/5000][45/535][64879] Loss_D: -0.025933 Loss_G: 0.017515 Loss_D_real: -0.019396 Loss_D_fake 0.006537
[631/5000][50/535][64880] Loss_D: -0.024910 Loss_G: 0.003553 Loss_D_real: -0.012362 Loss_D_fake 0.012548
[631/5000][55/535][64881] Loss_D: -0.024389 Loss_G: 0.009016 Loss_D_real: -0.012825 Loss_D_fake 0.011564
[631/5000][60/535][64882] Loss_D: -0.023581 Loss_G: 0.014482 Loss_D_real: -0.024220 Loss_D_fake -0.000639
[631/5000][65/535][64883] Loss_D: -0.022573 Loss_G: 0.035326 Loss_D_real: -0.029805 Loss_D_fake -0.007232
[631/5000][70/535][64884] Loss_D: -0.025661 Loss_G: 0.003269 Loss_D_real: -0.013239 Loss_D_fake 0.012422
[631/5000][75/535][64885] Loss_D: -0.023439 Loss_G: 0.009977 Loss_D_real: -0.012004 Loss_D_fake 0.011434
[631/5000][80/535][64886] Loss_D: -0.024261 Loss_G: 0.013078 Loss_D_real: -0.009883 Loss_D_fake 0.014378
[631/5000][85/535][64887] Loss_D: -0.023911 Loss_G: 0.018406 Loss_D_real: -0.017373 Loss_D_fake 0.006538
[631/5000][90/535][64888] Loss_D: -0.024918 Loss_G: -0.007626 Loss_D_real: -0.002716 Loss_D_fake 0.022202
[631/5000][95/535][64889] Loss_D: -0.023804 Loss_G: 0.023332 Loss_D_real: -0.018102 Loss_D_fake 0.005701
[631/5000][100/535][64890] Loss_D: -0.023833 Loss_G: 0.002191 Loss_D_real: -0.011211 Loss_D_fake 0.012622
[631/5000][105/535][64891] Loss_D: -0.022884 Loss_G: 0.002466 Loss_D_real: -0.010396 Loss_D_fake 0.012488
[631/5000][110/535][64892] Loss_D: -0.024253 Loss_G: 0.010175 Loss_D_real: -0.016519 Loss_D_fake 0.007734
[631/5000][115/535][64893] Loss_D: -0.024037 Loss_G: 0.023140 Loss_D_real: -0.021308 Loss_D_fake 0.002729
[631/5000][120/535][64894] Loss_D: -0.024186 Loss_G: 0.009427 Loss_D_real: -0.004915 Loss_D_fake 0.019271
[631/5000][125/535][64895] Loss_D: -0.025313 Loss_G: 0.021470 Loss_D_real: -0.024437 Loss_D_fake 0.000876
[631/5000][130/535][64896] Loss_D: -0.023619 Loss_G: 0.044879 Loss_D_real: -0.029287 Loss_D_fake -0.005668
[631/5000][135/535][64897] Loss_D: -0.025038 Loss_G: 0.012065 Loss_D_real: -0.018968 Loss_D_fake 0.006070
[631/5000][140/535][64898] Loss_D: -0.025508 Loss_G: 0.022383 Loss_D_real: -0.020805 Loss_D_fake 0.004703
[631/5000][145/535][64899] Loss_D: -0.025697 Loss_G: -0.002681 Loss_D_real: -0.005553 Loss_D_fake 0.020144
[631/5000][150/535][64900] Loss_D: -0.023451 Loss_G: 0.006013 Loss_D_real: -0.018125 Loss_D_fake 0.005326
[631/5000][155/535][64901] Loss_D: -0.023223 Loss_G: 0.010008 Loss_D_real: -0.016424 Loss_D_fake 0.006800
[631/5000][160/535][64902] Loss_D: -0.023147 Loss_G: 0.030578 Loss_D_real: -0.023908 Loss_D_fake -0.000760
[631/5000][165/535][64903] Loss_D: -0.025021 Loss_G: 0.016290 Loss_D_real: -0.010079 Loss_D_fake 0.014942
[631/5000][170/535][64904] Loss_D: -0.024749 Loss_G: 0.017246 Loss_D_real: -0.023690 Loss_D_fake 0.001059
[631/5000][175/535][64905] Loss_D: -0.025131 Loss_G: 0.040039 Loss_D_real: -0.030086 Loss_D_fake -0.004955
[631/5000][180/535][64906] Loss_D: -0.024816 Loss_G: 0.019354 Loss_D_real: -0.024596 Loss_D_fake 0.000220
[631/5000][185/535][64907] Loss_D: -0.024092 Loss_G: 0.026865 Loss_D_real: -0.023162 Loss_D_fake 0.000930
[631/5000][190/535][64908] Loss_D: -0.023999 Loss_G: -0.006289 Loss_D_real: -0.003135 Loss_D_fake 0.020864
[631/5000][195/535][64909] Loss_D: -0.025150 Loss_G: 0.017979 Loss_D_real: -0.007664 Loss_D_fake 0.017486
[631/5000][200/535][64910] Loss_D: -0.024533 Loss_G: -0.005298 Loss_D_real: -0.004049 Loss_D_fake 0.020484
[631/5000][205/535][64911] Loss_D: -0.025716 Loss_G: 0.025815 Loss_D_real: -0.025704 Loss_D_fake 0.000012
[631/5000][210/535][64912] Loss_D: -0.025011 Loss_G: 0.020676 Loss_D_real: -0.020960 Loss_D_fake 0.004051
[631/5000][215/535][64913] Loss_D: -0.024243 Loss_G: 0.003198 Loss_D_real: 0.001492 Loss_D_fake 0.025736
[631/5000][220/535][64914] Loss_D: -0.025121 Loss_G: 0.019893 Loss_D_real: -0.017081 Loss_D_fake 0.008040
[631/5000][225/535][64915] Loss_D: -0.024553 Loss_G: 0.032391 Loss_D_real: -0.030363 Loss_D_fake -0.005810
[631/5000][230/535][64916] Loss_D: -0.024451 Loss_G: 0.003467 Loss_D_real: -0.003393 Loss_D_fake 0.021058
[631/5000][235/535][64917] Loss_D: -0.023931 Loss_G: 0.026539 Loss_D_real: -0.017621 Loss_D_fake 0.006309
[631/5000][240/535][64918] Loss_D: -0.024443 Loss_G: 0.023994 Loss_D_real: -0.020587 Loss_D_fake 0.003856
[631/5000][245/535][64919] Loss_D: -0.025164 Loss_G: -0.001941 Loss_D_real: -0.006123 Loss_D_fake 0.019040
[631/5000][250/535][64920] Loss_D: -0.022890 Loss_G: 0.028309 Loss_D_real: -0.032300 Loss_D_fake -0.009411
[631/5000][255/535][64921] Loss_D: -0.025036 Loss_G: 0.010856 Loss_D_real: -0.010639 Loss_D_fake 0.014397
[631/5000][260/535][64922] Loss_D: -0.023536 Loss_G: 0.023806 Loss_D_real: -0.024167 Loss_D_fake -0.000630
[631/5000][265/535][64923] Loss_D: -0.024670 Loss_G: 0.018200 Loss_D_real: -0.015046 Loss_D_fake 0.009624
[631/5000][270/535][64924] Loss_D: -0.025144 Loss_G: 0.015392 Loss_D_real: -0.015972 Loss_D_fake 0.009172
[631/5000][275/535][64925] Loss_D: -0.025282 Loss_G: 0.030040 Loss_D_real: -0.025798 Loss_D_fake -0.000516
[631/5000][280/535][64926] Loss_D: -0.023384 Loss_G: 0.017278 Loss_D_real: -0.009788 Loss_D_fake 0.013596
[631/5000][285/535][64927] Loss_D: -0.025076 Loss_G: 0.009031 Loss_D_real: -0.010928 Loss_D_fake 0.014148
[631/5000][290/535][64928] Loss_D: -0.024326 Loss_G: 0.007315 Loss_D_real: -0.004772 Loss_D_fake 0.019554
[631/5000][295/535][64929] Loss_D: -0.024138 Loss_G: 0.015306 Loss_D_real: -0.024857 Loss_D_fake -0.000719
[631/5000][300/535][64930] Loss_D: -0.024337 Loss_G: -0.001302 Loss_D_real: -0.007240 Loss_D_fake 0.017098
[631/5000][305/535][64931] Loss_D: -0.023409 Loss_G: -0.000763 Loss_D_real: 0.004983 Loss_D_fake 0.028392
[631/5000][310/535][64932] Loss_D: -0.024785 Loss_G: 0.027425 Loss_D_real: -0.015787 Loss_D_fake 0.008999
[631/5000][315/535][64933] Loss_D: -0.024076 Loss_G: -0.003191 Loss_D_real: -0.000579 Loss_D_fake 0.023497
[631/5000][320/535][64934] Loss_D: -0.023511 Loss_G: 0.016138 Loss_D_real: -0.016005 Loss_D_fake 0.007505
[631/5000][325/535][64935] Loss_D: -0.024218 Loss_G: -0.000542 Loss_D_real: 0.003794 Loss_D_fake 0.028012
[631/5000][330/535][64936] Loss_D: -0.024214 Loss_G: 0.022403 Loss_D_real: -0.020394 Loss_D_fake 0.003820
[631/5000][335/535][64937] Loss_D: -0.023599 Loss_G: 0.013325 Loss_D_real: -0.009952 Loss_D_fake 0.013647
[631/5000][340/535][64938] Loss_D: -0.024459 Loss_G: -0.006063 Loss_D_real: -0.001544 Loss_D_fake 0.022915
[631/5000][345/535][64939] Loss_D: -0.022977 Loss_G: 0.029318 Loss_D_real: -0.029345 Loss_D_fake -0.006368
[631/5000][350/535][64940] Loss_D: -0.024652 Loss_G: 0.001255 Loss_D_real: -0.007156 Loss_D_fake 0.017496
[631/5000][355/535][64941] Loss_D: -0.024545 Loss_G: 0.015933 Loss_D_real: -0.013923 Loss_D_fake 0.010622
[631/5000][360/535][64942] Loss_D: -0.023365 Loss_G: 0.008542 Loss_D_real: -0.005456 Loss_D_fake 0.017910
[631/5000][365/535][64943] Loss_D: -0.024154 Loss_G: 0.006153 Loss_D_real: -0.012484 Loss_D_fake 0.011670
[631/5000][370/535][64944] Loss_D: -0.023551 Loss_G: 0.016268 Loss_D_real: -0.020148 Loss_D_fake 0.003403
[631/5000][375/535][64945] Loss_D: -0.024808 Loss_G: 0.026682 Loss_D_real: -0.008869 Loss_D_fake 0.015939
[631/5000][380/535][64946] Loss_D: -0.024393 Loss_G: 0.022712 Loss_D_real: -0.020334 Loss_D_fake 0.004059
[631/5000][385/535][64947] Loss_D: -0.025026 Loss_G: 0.028948 Loss_D_real: -0.022014 Loss_D_fake 0.003012
[631/5000][390/535][64948] Loss_D: -0.024253 Loss_G: 0.013292 Loss_D_real: -0.020554 Loss_D_fake 0.003699
[631/5000][395/535][64949] Loss_D: -0.023434 Loss_G: 0.029782 Loss_D_real: -0.020798 Loss_D_fake 0.002635
[631/5000][400/535][64950] Loss_D: -0.025986 Loss_G: 0.003111 Loss_D_real: -0.006905 Loss_D_fake 0.019081
[631/5000][405/535][64951] Loss_D: -0.024388 Loss_G: 0.016922 Loss_D_real: -0.026685 Loss_D_fake -0.002297
[631/5000][410/535][64952] Loss_D: -0.025486 Loss_G: 0.017629 Loss_D_real: -0.008279 Loss_D_fake 0.017207
[631/5000][415/535][64953] Loss_D: -0.025157 Loss_G: 0.001173 Loss_D_real: -0.006297 Loss_D_fake 0.018861
[631/5000][420/535][64954] Loss_D: -0.024936 Loss_G: 0.016391 Loss_D_real: -0.026066 Loss_D_fake -0.001130
[631/5000][425/535][64955] Loss_D: -0.023850 Loss_G: 0.030799 Loss_D_real: -0.025696 Loss_D_fake -0.001846
[631/5000][430/535][64956] Loss_D: -0.026245 Loss_G: 0.028305 Loss_D_real: -0.012068 Loss_D_fake 0.014177
[631/5000][435/535][64957] Loss_D: -0.023514 Loss_G: 0.037059 Loss_D_real: -0.029479 Loss_D_fake -0.005965
[631/5000][440/535][64958] Loss_D: -0.024512 Loss_G: 0.008470 Loss_D_real: -0.018343 Loss_D_fake 0.006169
[631/5000][445/535][64959] Loss_D: -0.023598 Loss_G: 0.010965 Loss_D_real: -0.018366 Loss_D_fake 0.005232
[631/5000][450/535][64960] Loss_D: -0.024387 Loss_G: 0.018274 Loss_D_real: -0.020283 Loss_D_fake 0.004104
[631/5000][455/535][64961] Loss_D: -0.025531 Loss_G: 0.021206 Loss_D_real: -0.020914 Loss_D_fake 0.004618
[631/5000][460/535][64962] Loss_D: -0.024334 Loss_G: 0.016684 Loss_D_real: -0.024687 Loss_D_fake -0.000353
[631/5000][465/535][64963] Loss_D: -0.024970 Loss_G: 0.017496 Loss_D_real: -0.019046 Loss_D_fake 0.005924
[631/5000][470/535][64964] Loss_D: -0.023903 Loss_G: 0.001239 Loss_D_real: 0.001578 Loss_D_fake 0.025481
[631/5000][475/535][64965] Loss_D: -0.025602 Loss_G: 0.023806 Loss_D_real: -0.021106 Loss_D_fake 0.004497
[631/5000][480/535][64966] Loss_D: -0.023774 Loss_G: -0.005834 Loss_D_real: 0.003093 Loss_D_fake 0.026868
[631/5000][485/535][64967] Loss_D: -0.024060 Loss_G: 0.018414 Loss_D_real: -0.015729 Loss_D_fake 0.008331
[631/5000][490/535][64968] Loss_D: -0.025352 Loss_G: 0.012326 Loss_D_real: -0.010852 Loss_D_fake 0.014499
[631/5000][495/535][64969] Loss_D: -0.023288 Loss_G: 0.015890 Loss_D_real: -0.011214 Loss_D_fake 0.012074
[631/5000][500/535][64970] Loss_D: -0.025334 Loss_G: 0.025814 Loss_D_real: -0.021252 Loss_D_fake 0.004082
[631/5000][505/535][64971] Loss_D: -0.025867 Loss_G: -0.003183 Loss_D_real: -0.009012 Loss_D_fake 0.016855
[631/5000][510/535][64972] Loss_D: -0.025360 Loss_G: 0.026213 Loss_D_real: -0.013731 Loss_D_fake 0.011629
[631/5000][515/535][64973] Loss_D: -0.024559 Loss_G: -0.001271 Loss_D_real: 0.000669 Loss_D_fake 0.025228
[631/5000][520/535][64974] Loss_D: -0.023326 Loss_G: 0.022008 Loss_D_real: -0.017385 Loss_D_fake 0.005940
[631/5000][525/535][64975] Loss_D: -0.024623 Loss_G: 0.013289 Loss_D_real: -0.015379 Loss_D_fake 0.009244
[631/5000][530/535][64976] Loss_D: -0.024911 Loss_G: 0.024814 Loss_D_real: -0.028073 Loss_D_fake -0.003162
[631/5000][535/535][64977] Loss_D: -0.022194 Loss_G: 0.022151 Loss_D_real: -0.014211 Loss_D_fake 0.007983
[632/5000][5/535][64978] Loss_D: -0.024193 Loss_G: 0.008196 Loss_D_real: -0.013501 Loss_D_fake 0.010692
[632/5000][10/535][64979] Loss_D: -0.023495 Loss_G: -0.014670 Loss_D_real: 0.001465 Loss_D_fake 0.024960
[632/5000][15/535][64980] Loss_D: -0.024073 Loss_G: 0.029513 Loss_D_real: -0.017077 Loss_D_fake 0.006995
[632/5000][20/535][64981] Loss_D: -0.024214 Loss_G: 0.025080 Loss_D_real: -0.024978 Loss_D_fake -0.000764
[632/5000][25/535][64982] Loss_D: -0.024022 Loss_G: 0.000605 Loss_D_real: -0.006434 Loss_D_fake 0.017588
[632/5000][30/535][64983] Loss_D: -0.022284 Loss_G: 0.033425 Loss_D_real: -0.034517 Loss_D_fake -0.012232
[632/5000][35/535][64984] Loss_D: -0.024090 Loss_G: 0.015157 Loss_D_real: -0.010865 Loss_D_fake 0.013225
[632/5000][40/535][64985] Loss_D: -0.024639 Loss_G: 0.021768 Loss_D_real: -0.019459 Loss_D_fake 0.005181
[632/5000][45/535][64986] Loss_D: -0.025186 Loss_G: 0.018031 Loss_D_real: -0.015657 Loss_D_fake 0.009529
[632/5000][50/535][64987] Loss_D: -0.024163 Loss_G: 0.025523 Loss_D_real: -0.027570 Loss_D_fake -0.003407
[632/5000][55/535][64988] Loss_D: -0.024423 Loss_G: -0.001590 Loss_D_real: -0.001190 Loss_D_fake 0.023233
[632/5000][60/535][64989] Loss_D: -0.023574 Loss_G: 0.018691 Loss_D_real: -0.023569 Loss_D_fake 0.000005
[632/5000][65/535][64990] Loss_D: -0.023360 Loss_G: 0.029432 Loss_D_real: -0.022332 Loss_D_fake 0.001028
[632/5000][70/535][64991] Loss_D: -0.024654 Loss_G: 0.011740 Loss_D_real: -0.014060 Loss_D_fake 0.010594
[632/5000][75/535][64992] Loss_D: -0.024619 Loss_G: 0.018138 Loss_D_real: -0.015946 Loss_D_fake 0.008673
[632/5000][80/535][64993] Loss_D: -0.024075 Loss_G: 0.025212 Loss_D_real: -0.023631 Loss_D_fake 0.000444
[632/5000][85/535][64994] Loss_D: -0.024175 Loss_G: 0.030686 Loss_D_real: -0.024942 Loss_D_fake -0.000767
[632/5000][90/535][64995] Loss_D: -0.025173 Loss_G: 0.030373 Loss_D_real: -0.024995 Loss_D_fake 0.000177
[632/5000][95/535][64996] Loss_D: -0.024279 Loss_G: -0.002985 Loss_D_real: 0.002203 Loss_D_fake 0.026481
[632/5000][100/535][64997] Loss_D: -0.024357 Loss_G: 0.006989 Loss_D_real: -0.012701 Loss_D_fake 0.011656
[632/5000][105/535][64998] Loss_D: -0.024112 Loss_G: 0.001066 Loss_D_real: -0.007755 Loss_D_fake 0.016356
[632/5000][110/535][64999] Loss_D: -0.023927 Loss_G: -0.000021 Loss_D_real: -0.003819 Loss_D_fake 0.020108
[632/5000][115/535][65000] Loss_D: -0.025224 Loss_G: 0.035055 Loss_D_real: -0.023738 Loss_D_fake 0.001485
[632/5000][215/535][65001] Loss_D: -0.026421 Loss_G: -0.006482 Loss_D_real: -0.002073 Loss_D_fake 0.024348
[632/5000][220/535][65002] Loss_D: -0.023715 Loss_G: 0.005642 Loss_D_real: -0.010397 Loss_D_fake 0.013319
[632/5000][225/535][65003] Loss_D: -0.022894 Loss_G: 0.012402 Loss_D_real: -0.015162 Loss_D_fake 0.007733
[632/5000][230/535][65004] Loss_D: -0.022751 Loss_G: 0.025051 Loss_D_real: -0.026203 Loss_D_fake -0.003453
[632/5000][235/535][65005] Loss_D: -0.022503 Loss_G: 0.006690 Loss_D_real: -0.010901 Loss_D_fake 0.011601
[632/5000][240/535][65006] Loss_D: -0.024715 Loss_G: 0.016679 Loss_D_real: -0.011987 Loss_D_fake 0.012728
[632/5000][245/535][65007] Loss_D: -0.024519 Loss_G: 0.015712 Loss_D_real: -0.020285 Loss_D_fake 0.004234
[632/5000][250/535][65008] Loss_D: -0.023981 Loss_G: -0.000901 Loss_D_real: -0.005227 Loss_D_fake 0.018755
[632/5000][255/535][65009] Loss_D: -0.024731 Loss_G: 0.008463 Loss_D_real: -0.011021 Loss_D_fake 0.013710
[632/5000][260/535][65010] Loss_D: -0.022770 Loss_G: 0.036392 Loss_D_real: -0.039442 Loss_D_fake -0.016672
[632/5000][265/535][65011] Loss_D: -0.023755 Loss_G: 0.005340 Loss_D_real: -0.010963 Loss_D_fake 0.012792
[632/5000][270/535][65012] Loss_D: -0.022592 Loss_G: 0.029366 Loss_D_real: -0.028544 Loss_D_fake -0.005952
[632/5000][275/535][65013] Loss_D: -0.023779 Loss_G: -0.002713 Loss_D_real: 0.000888 Loss_D_fake 0.024666
[632/5000][280/535][65014] Loss_D: -0.023470 Loss_G: 0.035126 Loss_D_real: -0.019666 Loss_D_fake 0.003804
[632/5000][285/535][65015] Loss_D: -0.023097 Loss_G: 0.023183 Loss_D_real: -0.027107 Loss_D_fake -0.004010
[632/5000][290/535][65016] Loss_D: -0.023619 Loss_G: 0.018289 Loss_D_real: -0.015719 Loss_D_fake 0.007900
[632/5000][295/535][65017] Loss_D: -0.024821 Loss_G: 0.010981 Loss_D_real: -0.012484 Loss_D_fake 0.012338
[632/5000][300/535][65018] Loss_D: -0.023941 Loss_G: 0.023400 Loss_D_real: -0.025486 Loss_D_fake -0.001545
[632/5000][305/535][65019] Loss_D: -0.024952 Loss_G: 0.013894 Loss_D_real: -0.013112 Loss_D_fake 0.011840
[632/5000][310/535][65020] Loss_D: -0.024448 Loss_G: 0.007205 Loss_D_real: -0.004556 Loss_D_fake 0.019892
[632/5000][315/535][65021] Loss_D: -0.025070 Loss_G: 0.022107 Loss_D_real: -0.013995 Loss_D_fake 0.011075
[632/5000][320/535][65022] Loss_D: -0.024489 Loss_G: 0.017178 Loss_D_real: -0.016484 Loss_D_fake 0.008005
[632/5000][325/535][65023] Loss_D: -0.025209 Loss_G: 0.025198 Loss_D_real: -0.027930 Loss_D_fake -0.002720
[632/5000][330/535][65024] Loss_D: -0.025081 Loss_G: 0.000348 Loss_D_real: -0.003449 Loss_D_fake 0.021632
[632/5000][335/535][65025] Loss_D: -0.025469 Loss_G: 0.009809 Loss_D_real: -0.012225 Loss_D_fake 0.013244
[632/5000][340/535][65026] Loss_D: -0.024282 Loss_G: 0.019063 Loss_D_real: -0.019264 Loss_D_fake 0.005018
[632/5000][345/535][65027] Loss_D: -0.026737 Loss_G: 0.017035 Loss_D_real: -0.028628 Loss_D_fake -0.001891
[632/5000][350/535][65028] Loss_D: -0.025441 Loss_G: 0.015444 Loss_D_real: -0.028149 Loss_D_fake -0.002708
[632/5000][355/535][65029] Loss_D: -0.023282 Loss_G: 0.020594 Loss_D_real: -0.022717 Loss_D_fake 0.000565
[632/5000][360/535][65030] Loss_D: -0.025854 Loss_G: 0.005946 Loss_D_real: -0.014698 Loss_D_fake 0.011155
[632/5000][365/535][65031] Loss_D: -0.024538 Loss_G: 0.016723 Loss_D_real: -0.022395 Loss_D_fake 0.002143
[632/5000][370/535][65032] Loss_D: -0.024087 Loss_G: 0.011911 Loss_D_real: -0.014479 Loss_D_fake 0.009608
[632/5000][375/535][65033] Loss_D: -0.025129 Loss_G: 0.003704 Loss_D_real: -0.019152 Loss_D_fake 0.005977
[632/5000][380/535][65034] Loss_D: -0.024497 Loss_G: 0.007700 Loss_D_real: -0.014998 Loss_D_fake 0.009499
[632/5000][385/535][65035] Loss_D: -0.023016 Loss_G: 0.016284 Loss_D_real: -0.010842 Loss_D_fake 0.012175
[632/5000][390/535][65036] Loss_D: -0.024678 Loss_G: 0.024576 Loss_D_real: -0.015053 Loss_D_fake 0.009625
[632/5000][395/535][65037] Loss_D: -0.024687 Loss_G: 0.009832 Loss_D_real: -0.013873 Loss_D_fake 0.010815
[632/5000][400/535][65038] Loss_D: -0.023961 Loss_G: -0.001540 Loss_D_real: -0.003605 Loss_D_fake 0.020356
[632/5000][405/535][65039] Loss_D: -0.024052 Loss_G: 0.017095 Loss_D_real: -0.015004 Loss_D_fake 0.009048
[632/5000][410/535][65040] Loss_D: -0.023550 Loss_G: 0.012093 Loss_D_real: -0.015471 Loss_D_fake 0.008080
[632/5000][415/535][65041] Loss_D: -0.023656 Loss_G: 0.017358 Loss_D_real: -0.015241 Loss_D_fake 0.008415
[632/5000][420/535][65042] Loss_D: -0.023893 Loss_G: -0.003754 Loss_D_real: -0.003334 Loss_D_fake 0.020559
[632/5000][425/535][65043] Loss_D: -0.023923 Loss_G: 0.034402 Loss_D_real: -0.031734 Loss_D_fake -0.007811
[632/5000][430/535][65044] Loss_D: -0.023687 Loss_G: -0.008596 Loss_D_real: -0.008079 Loss_D_fake 0.015608
[632/5000][435/535][65045] Loss_D: -0.025039 Loss_G: 0.018363 Loss_D_real: -0.016044 Loss_D_fake 0.008995
[632/5000][440/535][65046] Loss_D: -0.024009 Loss_G: 0.008831 Loss_D_real: -0.014142 Loss_D_fake 0.009866
[632/5000][445/535][65047] Loss_D: -0.024075 Loss_G: 0.010032 Loss_D_real: -0.007817 Loss_D_fake 0.016258
[632/5000][450/535][65048] Loss_D: -0.022761 Loss_G: 0.032162 Loss_D_real: -0.021545 Loss_D_fake 0.001216
[632/5000][455/535][65049] Loss_D: -0.024388 Loss_G: 0.018893 Loss_D_real: -0.019125 Loss_D_fake 0.005263
[632/5000][460/535][65050] Loss_D: -0.024957 Loss_G: 0.018885 Loss_D_real: -0.022928 Loss_D_fake 0.002028
[632/5000][465/535][65051] Loss_D: -0.025136 Loss_G: 0.012588 Loss_D_real: -0.013673 Loss_D_fake 0.011463
[632/5000][470/535][65052] Loss_D: -0.025749 Loss_G: -0.001670 Loss_D_real: -0.003215 Loss_D_fake 0.022534
[632/5000][475/535][65053] Loss_D: -0.024857 Loss_G: 0.018221 Loss_D_real: -0.020066 Loss_D_fake 0.004791
[632/5000][480/535][65054] Loss_D: -0.024362 Loss_G: 0.011711 Loss_D_real: -0.015801 Loss_D_fake 0.008560
[632/5000][485/535][65055] Loss_D: -0.024165 Loss_G: 0.022873 Loss_D_real: -0.017933 Loss_D_fake 0.006232
[632/5000][490/535][65056] Loss_D: -0.024027 Loss_G: -0.009359 Loss_D_real: 0.001511 Loss_D_fake 0.025538
[632/5000][495/535][65057] Loss_D: -0.023467 Loss_G: 0.027493 Loss_D_real: -0.023573 Loss_D_fake -0.000105
[632/5000][500/535][65058] Loss_D: -0.024633 Loss_G: 0.009834 Loss_D_real: -0.025855 Loss_D_fake -0.001223
[632/5000][505/535][65059] Loss_D: -0.025803 Loss_G: 0.023143 Loss_D_real: -0.026069 Loss_D_fake -0.000266
[632/5000][510/535][65060] Loss_D: -0.023854 Loss_G: 0.011134 Loss_D_real: -0.009865 Loss_D_fake 0.013989
[632/5000][515/535][65061] Loss_D: -0.025048 Loss_G: 0.032541 Loss_D_real: -0.022717 Loss_D_fake 0.002331
[632/5000][520/535][65062] Loss_D: -0.023560 Loss_G: 0.022268 Loss_D_real: -0.012505 Loss_D_fake 0.011055
[632/5000][525/535][65063] Loss_D: -0.025589 Loss_G: 0.024805 Loss_D_real: -0.002596 Loss_D_fake 0.022993
[632/5000][530/535][65064] Loss_D: -0.024477 Loss_G: 0.019306 Loss_D_real: -0.012677 Loss_D_fake 0.011800
[632/5000][535/535][65065] Loss_D: -0.026860 Loss_G: -0.001208 Loss_D_real: -0.011577 Loss_D_fake 0.015283
[633/5000][5/535][65066] Loss_D: -0.023279 Loss_G: 0.017261 Loss_D_real: -0.017100 Loss_D_fake 0.006178
[633/5000][10/535][65067] Loss_D: -0.024911 Loss_G: 0.030406 Loss_D_real: -0.015145 Loss_D_fake 0.009765
[633/5000][15/535][65068] Loss_D: -0.024399 Loss_G: -0.004721 Loss_D_real: -0.007670 Loss_D_fake 0.016728
[633/5000][20/535][65069] Loss_D: -0.024718 Loss_G: 0.015912 Loss_D_real: -0.018609 Loss_D_fake 0.006109
[633/5000][25/535][65070] Loss_D: -0.025227 Loss_G: 0.015501 Loss_D_real: -0.019139 Loss_D_fake 0.006088
[633/5000][30/535][65071] Loss_D: -0.024887 Loss_G: 0.031876 Loss_D_real: -0.013992 Loss_D_fake 0.010895
[633/5000][35/535][65072] Loss_D: -0.023689 Loss_G: 0.014581 Loss_D_real: -0.021870 Loss_D_fake 0.001819
[633/5000][40/535][65073] Loss_D: -0.024304 Loss_G: 0.009341 Loss_D_real: -0.009701 Loss_D_fake 0.014603
[633/5000][45/535][65074] Loss_D: -0.023447 Loss_G: 0.014914 Loss_D_real: -0.006310 Loss_D_fake 0.017137
[633/5000][50/535][65075] Loss_D: -0.025245 Loss_G: 0.018857 Loss_D_real: -0.026314 Loss_D_fake -0.001069
[633/5000][55/535][65076] Loss_D: -0.024355 Loss_G: 0.027696 Loss_D_real: -0.028507 Loss_D_fake -0.004152
[633/5000][60/535][65077] Loss_D: -0.024059 Loss_G: -0.004502 Loss_D_real: -0.002230 Loss_D_fake 0.021829
[633/5000][65/535][65078] Loss_D: -0.024346 Loss_G: -0.006053 Loss_D_real: 0.002745 Loss_D_fake 0.027091
[633/5000][70/535][65079] Loss_D: -0.024696 Loss_G: -0.002939 Loss_D_real: -0.009881 Loss_D_fake 0.014814
[633/5000][75/535][65080] Loss_D: -0.023919 Loss_G: -0.009757 Loss_D_real: 0.000932 Loss_D_fake 0.024851
[633/5000][80/535][65081] Loss_D: -0.025059 Loss_G: 0.033286 Loss_D_real: -0.024817 Loss_D_fake 0.000242
[633/5000][85/535][65082] Loss_D: -0.023268 Loss_G: -0.001801 Loss_D_real: -0.000423 Loss_D_fake 0.022845
[633/5000][90/535][65083] Loss_D: -0.023514 Loss_G: 0.005169 Loss_D_real: -0.012295 Loss_D_fake 0.011219
[633/5000][95/535][65084] Loss_D: -0.022762 Loss_G: 0.025154 Loss_D_real: -0.016068 Loss_D_fake 0.006693
[633/5000][100/535][65085] Loss_D: -0.024216 Loss_G: 0.023337 Loss_D_real: -0.022230 Loss_D_fake 0.001986
[633/5000][105/535][65086] Loss_D: -0.025989 Loss_G: 0.006192 Loss_D_real: -0.010562 Loss_D_fake 0.015427
[633/5000][110/535][65087] Loss_D: -0.025664 Loss_G: 0.005022 Loss_D_real: -0.003879 Loss_D_fake 0.021785
[633/5000][115/535][65088] Loss_D: -0.024070 Loss_G: 0.018541 Loss_D_real: -0.023500 Loss_D_fake 0.000569
[633/5000][120/535][65089] Loss_D: -0.024288 Loss_G: 0.037549 Loss_D_real: -0.022422 Loss_D_fake 0.001865
[633/5000][125/535][65090] Loss_D: -0.024347 Loss_G: -0.012081 Loss_D_real: 0.004866 Loss_D_fake 0.029213
[633/5000][130/535][65091] Loss_D: -0.024248 Loss_G: 0.009606 Loss_D_real: -0.012342 Loss_D_fake 0.011906
[633/5000][135/535][65092] Loss_D: -0.023671 Loss_G: -0.007904 Loss_D_real: 0.003615 Loss_D_fake 0.027286
[633/5000][140/535][65093] Loss_D: -0.024088 Loss_G: 0.003946 Loss_D_real: 0.004843 Loss_D_fake 0.028931
[633/5000][145/535][65094] Loss_D: -0.023678 Loss_G: 0.023979 Loss_D_real: -0.018743 Loss_D_fake 0.004936
[633/5000][150/535][65095] Loss_D: -0.023829 Loss_G: 0.020535 Loss_D_real: -0.016533 Loss_D_fake 0.007296
[633/5000][155/535][65096] Loss_D: -0.025281 Loss_G: 0.015786 Loss_D_real: -0.008197 Loss_D_fake 0.017085
[633/5000][160/535][65097] Loss_D: -0.025007 Loss_G: -0.000820 Loss_D_real: -0.004468 Loss_D_fake 0.020539
[633/5000][165/535][65098] Loss_D: -0.023460 Loss_G: 0.001139 Loss_D_real: -0.005723 Loss_D_fake 0.017738
[633/5000][170/535][65099] Loss_D: -0.026207 Loss_G: 0.012793 Loss_D_real: -0.020313 Loss_D_fake 0.005894
[633/5000][175/535][65100] Loss_D: -0.024846 Loss_G: 0.024613 Loss_D_real: -0.020299 Loss_D_fake 0.004547
[633/5000][180/535][65101] Loss_D: -0.025635 Loss_G: 0.025661 Loss_D_real: -0.017141 Loss_D_fake 0.008494
[633/5000][185/535][65102] Loss_D: -0.025659 Loss_G: 0.020968 Loss_D_real: -0.021766 Loss_D_fake 0.003893
[633/5000][190/535][65103] Loss_D: -0.026148 Loss_G: 0.005571 Loss_D_real: -0.011278 Loss_D_fake 0.014870
[633/5000][195/535][65104] Loss_D: -0.022199 Loss_G: 0.028434 Loss_D_real: -0.027770 Loss_D_fake -0.005571
[633/5000][200/535][65105] Loss_D: -0.023647 Loss_G: 0.022051 Loss_D_real: -0.026303 Loss_D_fake -0.002656
[633/5000][205/535][65106] Loss_D: -0.023537 Loss_G: 0.019815 Loss_D_real: -0.019685 Loss_D_fake 0.003852
[633/5000][210/535][65107] Loss_D: -0.025263 Loss_G: 0.001404 Loss_D_real: -0.006641 Loss_D_fake 0.018622
[633/5000][215/535][65108] Loss_D: -0.023547 Loss_G: 0.018238 Loss_D_real: -0.020714 Loss_D_fake 0.002833
[633/5000][220/535][65109] Loss_D: -0.022707 Loss_G: 0.030675 Loss_D_real: -0.035549 Loss_D_fake -0.012842
[633/5000][225/535][65110] Loss_D: -0.025077 Loss_G: -0.007092 Loss_D_real: -0.006166 Loss_D_fake 0.018912
[633/5000][230/535][65111] Loss_D: -0.023911 Loss_G: 0.029863 Loss_D_real: -0.025529 Loss_D_fake -0.001618
[633/5000][235/535][65112] Loss_D: -0.025358 Loss_G: 0.006902 Loss_D_real: -0.016035 Loss_D_fake 0.009323
[633/5000][240/535][65113] Loss_D: -0.024185 Loss_G: 0.028170 Loss_D_real: -0.024039 Loss_D_fake 0.000146
[633/5000][245/535][65114] Loss_D: -0.023447 Loss_G: -0.006832 Loss_D_real: -0.002222 Loss_D_fake 0.021225
[633/5000][250/535][65115] Loss_D: -0.023304 Loss_G: 0.010182 Loss_D_real: -0.006376 Loss_D_fake 0.016928
[633/5000][255/535][65116] Loss_D: -0.023748 Loss_G: 0.023037 Loss_D_real: -0.019798 Loss_D_fake 0.003950
[633/5000][260/535][65117] Loss_D: -0.024394 Loss_G: 0.003972 Loss_D_real: 0.000849 Loss_D_fake 0.025243
[633/5000][265/535][65118] Loss_D: -0.023600 Loss_G: 0.024475 Loss_D_real: -0.026059 Loss_D_fake -0.002459
[633/5000][270/535][65119] Loss_D: -0.023744 Loss_G: 0.027471 Loss_D_real: -0.018505 Loss_D_fake 0.005239
[633/5000][275/535][65120] Loss_D: -0.023592 Loss_G: 0.019472 Loss_D_real: -0.026139 Loss_D_fake -0.002547
[633/5000][280/535][65121] Loss_D: -0.024888 Loss_G: 0.026197 Loss_D_real: -0.024080 Loss_D_fake 0.000808
[633/5000][285/535][65122] Loss_D: -0.024778 Loss_G: 0.008942 Loss_D_real: -0.014417 Loss_D_fake 0.010361
[633/5000][290/535][65123] Loss_D: -0.024012 Loss_G: 0.023457 Loss_D_real: -0.021165 Loss_D_fake 0.002847
[633/5000][295/535][65124] Loss_D: -0.024975 Loss_G: 0.008844 Loss_D_real: -0.011821 Loss_D_fake 0.013154
[633/5000][300/535][65125] Loss_D: -0.023478 Loss_G: -0.006370 Loss_D_real: -0.012148 Loss_D_fake 0.011330
[633/5000][305/535][65126] Loss_D: -0.024136 Loss_G: 0.021001 Loss_D_real: -0.021866 Loss_D_fake 0.002270
[633/5000][310/535][65127] Loss_D: -0.024451 Loss_G: 0.009534 Loss_D_real: -0.011221 Loss_D_fake 0.013230
[633/5000][315/535][65128] Loss_D: -0.024307 Loss_G: 0.004898 Loss_D_real: -0.003496 Loss_D_fake 0.020812
[633/5000][320/535][65129] Loss_D: -0.024540 Loss_G: 0.024067 Loss_D_real: -0.013927 Loss_D_fake 0.010613
[633/5000][325/535][65130] Loss_D: -0.025399 Loss_G: 0.018108 Loss_D_real: -0.012753 Loss_D_fake 0.012647
[633/5000][330/535][65131] Loss_D: -0.024858 Loss_G: 0.022549 Loss_D_real: -0.018693 Loss_D_fake 0.006165
[633/5000][335/535][65132] Loss_D: -0.024077 Loss_G: 0.024897 Loss_D_real: -0.025204 Loss_D_fake -0.001128
[633/5000][340/535][65133] Loss_D: -0.023739 Loss_G: 0.018713 Loss_D_real: -0.012459 Loss_D_fake 0.011280
[633/5000][345/535][65134] Loss_D: -0.024163 Loss_G: 0.013589 Loss_D_real: -0.019827 Loss_D_fake 0.004335
[633/5000][350/535][65135] Loss_D: -0.024456 Loss_G: 0.031412 Loss_D_real: -0.025238 Loss_D_fake -0.000782
[633/5000][355/535][65136] Loss_D: -0.021907 Loss_G: 0.043044 Loss_D_real: -0.026644 Loss_D_fake -0.004737
[633/5000][360/535][65137] Loss_D: -0.025314 Loss_G: 0.022719 Loss_D_real: -0.025747 Loss_D_fake -0.000433
[633/5000][365/535][65138] Loss_D: -0.024515 Loss_G: 0.010538 Loss_D_real: -0.018461 Loss_D_fake 0.006054
[633/5000][370/535][65139] Loss_D: -0.023725 Loss_G: -0.003371 Loss_D_real: -0.000175 Loss_D_fake 0.023550
[633/5000][375/535][65140] Loss_D: -0.024311 Loss_G: 0.011305 Loss_D_real: -0.019321 Loss_D_fake 0.004991
[633/5000][380/535][65141] Loss_D: -0.023949 Loss_G: 0.023573 Loss_D_real: -0.018325 Loss_D_fake 0.005624
[633/5000][385/535][65142] Loss_D: -0.022660 Loss_G: -0.000087 Loss_D_real: 0.000667 Loss_D_fake 0.023327
[633/5000][390/535][65143] Loss_D: -0.023670 Loss_G: 0.005440 Loss_D_real: -0.019156 Loss_D_fake 0.004514
[633/5000][395/535][65144] Loss_D: -0.024499 Loss_G: 0.020294 Loss_D_real: -0.017512 Loss_D_fake 0.006987
[633/5000][400/535][65145] Loss_D: -0.024113 Loss_G: -0.001567 Loss_D_real: -0.005453 Loss_D_fake 0.018660
[633/5000][405/535][65146] Loss_D: -0.024378 Loss_G: 0.019097 Loss_D_real: -0.015662 Loss_D_fake 0.008716
[633/5000][410/535][65147] Loss_D: -0.025240 Loss_G: 0.003601 Loss_D_real: -0.009016 Loss_D_fake 0.016224
[633/5000][415/535][65148] Loss_D: -0.024151 Loss_G: 0.007331 Loss_D_real: -0.003928 Loss_D_fake 0.020223
[633/5000][420/535][65149] Loss_D: -0.023731 Loss_G: 0.036362 Loss_D_real: -0.019142 Loss_D_fake 0.004589
[633/5000][425/535][65150] Loss_D: -0.024828 Loss_G: 0.022241 Loss_D_real: -0.016584 Loss_D_fake 0.008244
[633/5000][430/535][65151] Loss_D: -0.023972 Loss_G: -0.000808 Loss_D_real: -0.011080 Loss_D_fake 0.012892
[633/5000][435/535][65152] Loss_D: -0.024035 Loss_G: 0.037133 Loss_D_real: -0.039771 Loss_D_fake -0.015736
[633/5000][440/535][65153] Loss_D: -0.024037 Loss_G: -0.006060 Loss_D_real: -0.001075 Loss_D_fake 0.022962
[633/5000][445/535][65154] Loss_D: -0.022262 Loss_G: 0.018034 Loss_D_real: -0.021235 Loss_D_fake 0.001026
[633/5000][450/535][65155] Loss_D: -0.024621 Loss_G: 0.022471 Loss_D_real: -0.015654 Loss_D_fake 0.008967
[633/5000][455/535][65156] Loss_D: -0.023636 Loss_G: -0.003630 Loss_D_real: -0.009274 Loss_D_fake 0.014362
[633/5000][460/535][65157] Loss_D: -0.024441 Loss_G: 0.016135 Loss_D_real: -0.008468 Loss_D_fake 0.015973
[633/5000][465/535][65158] Loss_D: -0.025323 Loss_G: 0.001676 Loss_D_real: -0.008246 Loss_D_fake 0.017077
[633/5000][470/535][65159] Loss_D: -0.023967 Loss_G: -0.003380 Loss_D_real: -0.003176 Loss_D_fake 0.020790
[633/5000][475/535][65160] Loss_D: -0.024063 Loss_G: 0.028639 Loss_D_real: -0.022783 Loss_D_fake 0.001281
[633/5000][480/535][65161] Loss_D: -0.025527 Loss_G: 0.016112 Loss_D_real: -0.017116 Loss_D_fake 0.008411
[633/5000][485/535][65162] Loss_D: -0.024911 Loss_G: 0.022624 Loss_D_real: -0.014422 Loss_D_fake 0.010489
[633/5000][490/535][65163] Loss_D: -0.024582 Loss_G: -0.001230 Loss_D_real: -0.011473 Loss_D_fake 0.013109
[633/5000][495/535][65164] Loss_D: -0.025345 Loss_G: 0.005766 Loss_D_real: -0.014332 Loss_D_fake 0.011012
[633/5000][500/535][65165] Loss_D: -0.024822 Loss_G: 0.014768 Loss_D_real: -0.015331 Loss_D_fake 0.009491
[633/5000][505/535][65166] Loss_D: -0.025478 Loss_G: 0.017077 Loss_D_real: -0.014102 Loss_D_fake 0.011376
[633/5000][510/535][65167] Loss_D: -0.025782 Loss_G: 0.030109 Loss_D_real: -0.027328 Loss_D_fake -0.001546
[633/5000][515/535][65168] Loss_D: -0.025384 Loss_G: 0.007003 Loss_D_real: -0.003182 Loss_D_fake 0.022202
[633/5000][520/535][65169] Loss_D: -0.024910 Loss_G: -0.004587 Loss_D_real: -0.006637 Loss_D_fake 0.018273
[633/5000][525/535][65170] Loss_D: -0.024574 Loss_G: 0.014600 Loss_D_real: -0.017495 Loss_D_fake 0.007080
[633/5000][530/535][65171] Loss_D: -0.024858 Loss_G: 0.009811 Loss_D_real: -0.012150 Loss_D_fake 0.012708
[633/5000][535/535][65172] Loss_D: -0.025837 Loss_G: 0.019824 Loss_D_real: -0.017207 Loss_D_fake 0.008630
[634/5000][5/535][65173] Loss_D: -0.025710 Loss_G: 0.015132 Loss_D_real: -0.013593 Loss_D_fake 0.012117
[634/5000][10/535][65174] Loss_D: -0.023827 Loss_G: 0.039670 Loss_D_real: -0.030439 Loss_D_fake -0.006612
[634/5000][15/535][65175] Loss_D: -0.025622 Loss_G: 0.006192 Loss_D_real: -0.015172 Loss_D_fake 0.010450
[634/5000][20/535][65176] Loss_D: -0.024614 Loss_G: 0.007287 Loss_D_real: -0.007711 Loss_D_fake 0.016903
[634/5000][25/535][65177] Loss_D: -0.025699 Loss_G: 0.008282 Loss_D_real: -0.007255 Loss_D_fake 0.018445
[634/5000][30/535][65178] Loss_D: -0.025368 Loss_G: 0.017731 Loss_D_real: -0.007344 Loss_D_fake 0.018024
[634/5000][35/535][65179] Loss_D: -0.024618 Loss_G: -0.000642 Loss_D_real: 0.002482 Loss_D_fake 0.027100
[634/5000][40/535][65180] Loss_D: -0.024452 Loss_G: 0.010670 Loss_D_real: -0.017907 Loss_D_fake 0.006545
[634/5000][45/535][65181] Loss_D: -0.022986 Loss_G: 0.023687 Loss_D_real: -0.023795 Loss_D_fake -0.000810
[634/5000][50/535][65182] Loss_D: -0.025482 Loss_G: 0.016593 Loss_D_real: -0.023359 Loss_D_fake 0.002123
[634/5000][55/535][65183] Loss_D: -0.024333 Loss_G: -0.002776 Loss_D_real: 0.002883 Loss_D_fake 0.027216
[634/5000][60/535][65184] Loss_D: -0.024957 Loss_G: 0.024233 Loss_D_real: -0.034499 Loss_D_fake -0.009542
[634/5000][65/535][65185] Loss_D: -0.024914 Loss_G: 0.005191 Loss_D_real: -0.007675 Loss_D_fake 0.017240
[634/5000][70/535][65186] Loss_D: -0.022583 Loss_G: 0.033060 Loss_D_real: -0.032953 Loss_D_fake -0.010371
[634/5000][75/535][65187] Loss_D: -0.023385 Loss_G: 0.012672 Loss_D_real: -0.009528 Loss_D_fake 0.013858
[634/5000][80/535][65188] Loss_D: -0.024359 Loss_G: 0.011292 Loss_D_real: -0.006909 Loss_D_fake 0.017450
[634/5000][85/535][65189] Loss_D: -0.023826 Loss_G: 0.013094 Loss_D_real: -0.019252 Loss_D_fake 0.004574
[634/5000][90/535][65190] Loss_D: -0.024768 Loss_G: 0.009746 Loss_D_real: -0.013439 Loss_D_fake 0.011329
[634/5000][95/535][65191] Loss_D: -0.024657 Loss_G: 0.017866 Loss_D_real: -0.025495 Loss_D_fake -0.000838
[634/5000][100/535][65192] Loss_D: -0.023993 Loss_G: 0.012019 Loss_D_real: -0.015720 Loss_D_fake 0.008273
[634/5000][105/535][65193] Loss_D: -0.024101 Loss_G: 0.020364 Loss_D_real: -0.021689 Loss_D_fake 0.002412
[634/5000][110/535][65194] Loss_D: -0.025460 Loss_G: 0.011882 Loss_D_real: -0.006835 Loss_D_fake 0.018626
[634/5000][115/535][65195] Loss_D: -0.023011 Loss_G: 0.017020 Loss_D_real: -0.024466 Loss_D_fake -0.001455
[634/5000][120/535][65196] Loss_D: -0.024887 Loss_G: 0.009586 Loss_D_real: -0.011832 Loss_D_fake 0.013055
[634/5000][125/535][65197] Loss_D: -0.024894 Loss_G: 0.015743 Loss_D_real: -0.011420 Loss_D_fake 0.013474
[634/5000][130/535][65198] Loss_D: -0.024174 Loss_G: -0.010022 Loss_D_real: -0.001615 Loss_D_fake 0.022559
[634/5000][135/535][65199] Loss_D: -0.023478 Loss_G: 0.014291 Loss_D_real: -0.022090 Loss_D_fake 0.001388
[634/5000][140/535][65200] Loss_D: -0.024847 Loss_G: 0.010448 Loss_D_real: -0.017145 Loss_D_fake 0.007702
[634/5000][145/535][65201] Loss_D: -0.023894 Loss_G: 0.009770 Loss_D_real: -0.005814 Loss_D_fake 0.018080
[634/5000][150/535][65202] Loss_D: -0.024868 Loss_G: -0.001463 Loss_D_real: -0.007183 Loss_D_fake 0.017685
[634/5000][155/535][65203] Loss_D: -0.023797 Loss_G: 0.022173 Loss_D_real: -0.028476 Loss_D_fake -0.004680
[634/5000][160/535][65204] Loss_D: -0.025553 Loss_G: 0.018607 Loss_D_real: -0.021769 Loss_D_fake 0.003784
[634/5000][165/535][65205] Loss_D: -0.025413 Loss_G: 0.016392 Loss_D_real: -0.010333 Loss_D_fake 0.015080
[634/5000][170/535][65206] Loss_D: -0.024987 Loss_G: 0.024823 Loss_D_real: -0.020349 Loss_D_fake 0.004638
[634/5000][175/535][65207] Loss_D: -0.025780 Loss_G: 0.009339 Loss_D_real: -0.014780 Loss_D_fake 0.011000
[634/5000][180/535][65208] Loss_D: -0.023901 Loss_G: -0.003977 Loss_D_real: 0.005355 Loss_D_fake 0.029256
[634/5000][185/535][65209] Loss_D: -0.023904 Loss_G: 0.013425 Loss_D_real: -0.016224 Loss_D_fake 0.007681
[634/5000][190/535][65210] Loss_D: -0.024607 Loss_G: 0.014206 Loss_D_real: -0.013221 Loss_D_fake 0.011386
[634/5000][195/535][65211] Loss_D: -0.024138 Loss_G: 0.023029 Loss_D_real: -0.024081 Loss_D_fake 0.000057
[634/5000][200/535][65212] Loss_D: -0.025371 Loss_G: 0.002284 Loss_D_real: -0.007537 Loss_D_fake 0.017834
[634/5000][205/535][65213] Loss_D: -0.023602 Loss_G: 0.013065 Loss_D_real: -0.010703 Loss_D_fake 0.012899
[634/5000][210/535][65214] Loss_D: -0.023565 Loss_G: -0.005980 Loss_D_real: -0.006677 Loss_D_fake 0.016889
[634/5000][215/535][65215] Loss_D: -0.025098 Loss_G: 0.032859 Loss_D_real: -0.020956 Loss_D_fake 0.004142
[634/5000][220/535][65216] Loss_D: -0.025356 Loss_G: 0.018966 Loss_D_real: -0.020356 Loss_D_fake 0.004999
[634/5000][225/535][65217] Loss_D: -0.026122 Loss_G: 0.027276 Loss_D_real: -0.031331 Loss_D_fake -0.005209
[634/5000][230/535][65218] Loss_D: -0.025946 Loss_G: 0.009325 Loss_D_real: -0.008074 Loss_D_fake 0.017871
[634/5000][235/535][65219] Loss_D: -0.024356 Loss_G: 0.009196 Loss_D_real: -0.014623 Loss_D_fake 0.009734
[634/5000][240/535][65220] Loss_D: -0.025581 Loss_G: 0.019201 Loss_D_real: -0.022243 Loss_D_fake 0.003338
[634/5000][245/535][65221] Loss_D: -0.024611 Loss_G: 0.027613 Loss_D_real: -0.028071 Loss_D_fake -0.003461
[634/5000][250/535][65222] Loss_D: -0.024941 Loss_G: 0.014767 Loss_D_real: -0.022211 Loss_D_fake 0.002730
[634/5000][255/535][65223] Loss_D: -0.025473 Loss_G: 0.023202 Loss_D_real: -0.021269 Loss_D_fake 0.004204
[634/5000][260/535][65224] Loss_D: -0.025333 Loss_G: 0.018495 Loss_D_real: -0.007369 Loss_D_fake 0.017964
[634/5000][265/535][65225] Loss_D: -0.024713 Loss_G: -0.006544 Loss_D_real: -0.002554 Loss_D_fake 0.022159
[634/5000][270/535][65226] Loss_D: -0.023770 Loss_G: -0.006153 Loss_D_real: -0.004720 Loss_D_fake 0.019050
[634/5000][275/535][65227] Loss_D: -0.023737 Loss_G: 0.009903 Loss_D_real: -0.006106 Loss_D_fake 0.017631
[634/5000][280/535][65228] Loss_D: -0.023478 Loss_G: 0.019986 Loss_D_real: -0.024493 Loss_D_fake -0.001015
[634/5000][285/535][65229] Loss_D: -0.024706 Loss_G: 0.012898 Loss_D_real: -0.025780 Loss_D_fake -0.001074
[634/5000][290/535][65230] Loss_D: -0.024611 Loss_G: 0.013778 Loss_D_real: -0.015668 Loss_D_fake 0.008943
[634/5000][295/535][65231] Loss_D: -0.024323 Loss_G: 0.022155 Loss_D_real: -0.026800 Loss_D_fake -0.002477
[634/5000][300/535][65232] Loss_D: -0.025762 Loss_G: 0.010259 Loss_D_real: -0.009837 Loss_D_fake 0.015925
[634/5000][305/535][65233] Loss_D: -0.025950 Loss_G: 0.012351 Loss_D_real: -0.014935 Loss_D_fake 0.011015
[634/5000][310/535][65234] Loss_D: -0.025944 Loss_G: 0.028783 Loss_D_real: -0.023738 Loss_D_fake 0.002206
[634/5000][315/535][65235] Loss_D: -0.023195 Loss_G: 0.033940 Loss_D_real: -0.029092 Loss_D_fake -0.005897
[634/5000][320/535][65236] Loss_D: -0.024705 Loss_G: -0.006021 Loss_D_real: 0.001318 Loss_D_fake 0.026024
[634/5000][325/535][65237] Loss_D: -0.024649 Loss_G: -0.004117 Loss_D_real: -0.009016 Loss_D_fake 0.015633
[634/5000][330/535][65238] Loss_D: -0.023121 Loss_G: 0.038361 Loss_D_real: -0.028600 Loss_D_fake -0.005479
[634/5000][335/535][65239] Loss_D: -0.023286 Loss_G: 0.010574 Loss_D_real: -0.002733 Loss_D_fake 0.020554
[634/5000][340/535][65240] Loss_D: -0.023557 Loss_G: 0.016242 Loss_D_real: -0.021950 Loss_D_fake 0.001608
[634/5000][345/535][65241] Loss_D: -0.024202 Loss_G: 0.015282 Loss_D_real: -0.026056 Loss_D_fake -0.001854
[634/5000][350/535][65242] Loss_D: -0.025179 Loss_G: 0.003995 Loss_D_real: 0.000612 Loss_D_fake 0.025791
[634/5000][355/535][65243] Loss_D: -0.023684 Loss_G: 0.039366 Loss_D_real: -0.022151 Loss_D_fake 0.001533
[634/5000][360/535][65244] Loss_D: -0.024291 Loss_G: 0.009030 Loss_D_real: -0.014836 Loss_D_fake 0.009455
[634/5000][365/535][65245] Loss_D: -0.023709 Loss_G: 0.020838 Loss_D_real: -0.019253 Loss_D_fake 0.004455
[634/5000][370/535][65246] Loss_D: -0.024510 Loss_G: 0.003551 Loss_D_real: 0.007514 Loss_D_fake 0.032024
[634/5000][375/535][65247] Loss_D: -0.023826 Loss_G: 0.024057 Loss_D_real: -0.020157 Loss_D_fake 0.003669
[634/5000][380/535][65248] Loss_D: -0.024275 Loss_G: 0.001629 Loss_D_real: -0.016997 Loss_D_fake 0.007278
[634/5000][385/535][65249] Loss_D: -0.024094 Loss_G: 0.028556 Loss_D_real: -0.026033 Loss_D_fake -0.001939
[634/5000][390/535][65250] Loss_D: -0.023248 Loss_G: 0.018836 Loss_D_real: -0.028101 Loss_D_fake -0.004853
[634/5000][395/535][65251] Loss_D: -0.024293 Loss_G: 0.006505 Loss_D_real: -0.009843 Loss_D_fake 0.014450
[634/5000][400/535][65252] Loss_D: -0.024326 Loss_G: 0.031421 Loss_D_real: -0.023483 Loss_D_fake 0.000843
[634/5000][405/535][65253] Loss_D: -0.024292 Loss_G: -0.006032 Loss_D_real: -0.011963 Loss_D_fake 0.012329
[634/5000][410/535][65254] Loss_D: -0.023694 Loss_G: 0.003301 Loss_D_real: -0.001321 Loss_D_fake 0.022374
[634/5000][415/535][65255] Loss_D: -0.023865 Loss_G: 0.016492 Loss_D_real: -0.019380 Loss_D_fake 0.004485
[634/5000][420/535][65256] Loss_D: -0.025221 Loss_G: 0.035515 Loss_D_real: -0.018356 Loss_D_fake 0.006865
[634/5000][425/535][65257] Loss_D: -0.024385 Loss_G: 0.013129 Loss_D_real: -0.009498 Loss_D_fake 0.014887
[634/5000][430/535][65258] Loss_D: -0.024183 Loss_G: 0.019610 Loss_D_real: -0.023323 Loss_D_fake 0.000860
[634/5000][435/535][65259] Loss_D: -0.025826 Loss_G: 0.012384 Loss_D_real: -0.020124 Loss_D_fake 0.005702
[634/5000][440/535][65260] Loss_D: -0.023093 Loss_G: 0.032990 Loss_D_real: -0.014299 Loss_D_fake 0.008794
[634/5000][445/535][65261] Loss_D: -0.024620 Loss_G: 0.020158 Loss_D_real: -0.029592 Loss_D_fake -0.004971
[634/5000][450/535][65262] Loss_D: -0.024686 Loss_G: 0.015506 Loss_D_real: -0.005527 Loss_D_fake 0.019159
[634/5000][455/535][65263] Loss_D: -0.024633 Loss_G: 0.017766 Loss_D_real: -0.019816 Loss_D_fake 0.004817
[634/5000][460/535][65264] Loss_D: -0.024360 Loss_G: -0.007795 Loss_D_real: -0.002810 Loss_D_fake 0.021550
[634/5000][465/535][65265] Loss_D: -0.023162 Loss_G: 0.005182 Loss_D_real: -0.002600 Loss_D_fake 0.020562
[634/5000][470/535][65266] Loss_D: -0.024585 Loss_G: 0.001941 Loss_D_real: -0.002679 Loss_D_fake 0.021906
[634/5000][475/535][65267] Loss_D: -0.024225 Loss_G: 0.010107 Loss_D_real: -0.007910 Loss_D_fake 0.016315
[634/5000][480/535][65268] Loss_D: -0.025984 Loss_G: 0.009117 Loss_D_real: -0.011720 Loss_D_fake 0.014264
[634/5000][485/535][65269] Loss_D: -0.025983 Loss_G: 0.005247 Loss_D_real: -0.015935 Loss_D_fake 0.010048
[634/5000][490/535][65270] Loss_D: -0.024485 Loss_G: 0.033816 Loss_D_real: -0.023206 Loss_D_fake 0.001278
[634/5000][495/535][65271] Loss_D: -0.024368 Loss_G: 0.009990 Loss_D_real: -0.009923 Loss_D_fake 0.014445
[634/5000][500/535][65272] Loss_D: -0.024967 Loss_G: 0.021468 Loss_D_real: -0.018149 Loss_D_fake 0.006818
[634/5000][505/535][65273] Loss_D: -0.024489 Loss_G: 0.036463 Loss_D_real: -0.029430 Loss_D_fake -0.004941
[634/5000][510/535][65274] Loss_D: -0.024810 Loss_G: 0.017619 Loss_D_real: -0.019177 Loss_D_fake 0.005634
[634/5000][515/535][65275] Loss_D: -0.024057 Loss_G: -0.003707 Loss_D_real: 0.007590 Loss_D_fake 0.031648
[634/5000][520/535][65276] Loss_D: -0.023350 Loss_G: 0.027814 Loss_D_real: -0.024279 Loss_D_fake -0.000929
[634/5000][525/535][65277] Loss_D: -0.024300 Loss_G: 0.010893 Loss_D_real: -0.018412 Loss_D_fake 0.005888
[634/5000][530/535][65278] Loss_D: -0.024153 Loss_G: 0.032882 Loss_D_real: -0.028317 Loss_D_fake -0.004164
[634/5000][535/535][65279] Loss_D: -0.022516 Loss_G: -0.033725 Loss_D_real: -0.004750 Loss_D_fake 0.017767
[635/5000][5/535][65280] Loss_D: -0.023394 Loss_G: -0.001545 Loss_D_real: -0.004727 Loss_D_fake 0.018667
[635/5000][10/535][65281] Loss_D: -0.022986 Loss_G: 0.023250 Loss_D_real: -0.018304 Loss_D_fake 0.004682
[635/5000][15/535][65282] Loss_D: -0.024546 Loss_G: 0.007635 Loss_D_real: -0.015803 Loss_D_fake 0.008743
[635/5000][20/535][65283] Loss_D: -0.024470 Loss_G: 0.036199 Loss_D_real: -0.022684 Loss_D_fake 0.001787
[635/5000][25/535][65284] Loss_D: -0.025100 Loss_G: 0.014385 Loss_D_real: -0.014893 Loss_D_fake 0.010207
[635/5000][30/535][65285] Loss_D: -0.024530 Loss_G: 0.017381 Loss_D_real: -0.019399 Loss_D_fake 0.005131
[635/5000][35/535][65286] Loss_D: -0.024758 Loss_G: 0.028233 Loss_D_real: -0.028323 Loss_D_fake -0.003566
[635/5000][40/535][65287] Loss_D: -0.024547 Loss_G: 0.031347 Loss_D_real: -0.024317 Loss_D_fake 0.000230
[635/5000][45/535][65288] Loss_D: -0.025079 Loss_G: 0.022592 Loss_D_real: -0.016528 Loss_D_fake 0.008551
[635/5000][50/535][65289] Loss_D: -0.023868 Loss_G: 0.022414 Loss_D_real: -0.024888 Loss_D_fake -0.001019
[635/5000][55/535][65290] Loss_D: -0.025085 Loss_G: -0.006312 Loss_D_real: 0.004498 Loss_D_fake 0.029583
[635/5000][60/535][65291] Loss_D: -0.024918 Loss_G: 0.022471 Loss_D_real: -0.019790 Loss_D_fake 0.005128
[635/5000][65/535][65292] Loss_D: -0.023850 Loss_G: -0.007756 Loss_D_real: -0.005664 Loss_D_fake 0.018186
[635/5000][70/535][65293] Loss_D: -0.023964 Loss_G: 0.008610 Loss_D_real: -0.012415 Loss_D_fake 0.011549
[635/5000][75/535][65294] Loss_D: -0.024509 Loss_G: 0.019728 Loss_D_real: -0.022998 Loss_D_fake 0.001511
[635/5000][80/535][65295] Loss_D: -0.022401 Loss_G: 0.014624 Loss_D_real: -0.015848 Loss_D_fake 0.006553
[635/5000][85/535][65296] Loss_D: -0.023990 Loss_G: 0.015926 Loss_D_real: -0.015753 Loss_D_fake 0.008237
[635/5000][90/535][65297] Loss_D: -0.024203 Loss_G: 0.024130 Loss_D_real: -0.024398 Loss_D_fake -0.000194
[635/5000][95/535][65298] Loss_D: -0.026040 Loss_G: 0.017010 Loss_D_real: -0.025021 Loss_D_fake 0.001019
[635/5000][100/535][65299] Loss_D: -0.023406 Loss_G: 0.031645 Loss_D_real: -0.024560 Loss_D_fake -0.001154
[635/5000][105/535][65300] Loss_D: -0.024356 Loss_G: -0.006097 Loss_D_real: 0.008566 Loss_D_fake 0.032923
[635/5000][110/535][65301] Loss_D: -0.023025 Loss_G: 0.002857 Loss_D_real: -0.011046 Loss_D_fake 0.011979
[635/5000][115/535][65302] Loss_D: -0.022804 Loss_G: -0.008309 Loss_D_real: -0.007993 Loss_D_fake 0.014811
[635/5000][120/535][65303] Loss_D: -0.022843 Loss_G: -0.000531 Loss_D_real: -0.003108 Loss_D_fake 0.019735
[635/5000][125/535][65304] Loss_D: -0.023886 Loss_G: 0.002282 Loss_D_real: -0.009578 Loss_D_fake 0.014308
[635/5000][130/535][65305] Loss_D: -0.024727 Loss_G: 0.015053 Loss_D_real: -0.013472 Loss_D_fake 0.011255
[635/5000][135/535][65306] Loss_D: -0.024852 Loss_G: 0.029769 Loss_D_real: -0.020039 Loss_D_fake 0.004813
[635/5000][140/535][65307] Loss_D: -0.025133 Loss_G: 0.007645 Loss_D_real: -0.006984 Loss_D_fake 0.018149
[635/5000][145/535][65308] Loss_D: -0.024983 Loss_G: 0.012695 Loss_D_real: -0.017406 Loss_D_fake 0.007578
[635/5000][150/535][65309] Loss_D: -0.023470 Loss_G: -0.006541 Loss_D_real: 0.006444 Loss_D_fake 0.029915
[635/5000][155/535][65310] Loss_D: -0.024108 Loss_G: 0.020307 Loss_D_real: -0.019441 Loss_D_fake 0.004667
[635/5000][160/535][65311] Loss_D: -0.023360 Loss_G: 0.028156 Loss_D_real: -0.027457 Loss_D_fake -0.004098
[635/5000][165/535][65312] Loss_D: -0.025631 Loss_G: 0.011154 Loss_D_real: -0.003821 Loss_D_fake 0.021811
[635/5000][170/535][65313] Loss_D: -0.024887 Loss_G: -0.002131 Loss_D_real: -0.010748 Loss_D_fake 0.014139
[635/5000][175/535][65314] Loss_D: -0.024174 Loss_G: 0.033115 Loss_D_real: -0.024730 Loss_D_fake -0.000556
[635/5000][180/535][65315] Loss_D: -0.026691 Loss_G: 0.003811 Loss_D_real: -0.007638 Loss_D_fake 0.019052
[635/5000][185/535][65316] Loss_D: -0.024769 Loss_G: 0.015519 Loss_D_real: -0.011160 Loss_D_fake 0.013609
[635/5000][190/535][65317] Loss_D: -0.023972 Loss_G: -0.008072 Loss_D_real: 0.003534 Loss_D_fake 0.027506
[635/5000][195/535][65318] Loss_D: -0.023568 Loss_G: 0.017656 Loss_D_real: -0.010375 Loss_D_fake 0.013193
[635/5000][200/535][65319] Loss_D: -0.024572 Loss_G: 0.036507 Loss_D_real: -0.026363 Loss_D_fake -0.001791
[635/5000][205/535][65320] Loss_D: -0.025915 Loss_G: 0.015928 Loss_D_real: -0.004294 Loss_D_fake 0.021621
[635/5000][210/535][65321] Loss_D: -0.025248 Loss_G: 0.024673 Loss_D_real: -0.008668 Loss_D_fake 0.016580
[635/5000][215/535][65322] Loss_D: -0.026247 Loss_G: 0.013429 Loss_D_real: -0.016094 Loss_D_fake 0.010154
[635/5000][220/535][65323] Loss_D: -0.024253 Loss_G: -0.004590 Loss_D_real: -0.007576 Loss_D_fake 0.016677
[635/5000][225/535][65324] Loss_D: -0.025129 Loss_G: 0.034382 Loss_D_real: -0.025332 Loss_D_fake -0.000202
[635/5000][230/535][65325] Loss_D: -0.025458 Loss_G: 0.003258 Loss_D_real: -0.007835 Loss_D_fake 0.017624
[635/5000][235/535][65326] Loss_D: -0.024343 Loss_G: 0.025087 Loss_D_real: -0.018687 Loss_D_fake 0.005655
[635/5000][240/535][65327] Loss_D: -0.023984 Loss_G: 0.030519 Loss_D_real: -0.027041 Loss_D_fake -0.003058
[635/5000][245/535][65328] Loss_D: -0.024254 Loss_G: 0.005966 Loss_D_real: -0.021416 Loss_D_fake 0.002838
[635/5000][250/535][65329] Loss_D: -0.025696 Loss_G: 0.022671 Loss_D_real: -0.015038 Loss_D_fake 0.010659
[635/5000][255/535][65330] Loss_D: -0.025101 Loss_G: 0.004461 Loss_D_real: -0.013652 Loss_D_fake 0.011448
[635/5000][260/535][65331] Loss_D: -0.023946 Loss_G: 0.019271 Loss_D_real: -0.024924 Loss_D_fake -0.000977
[635/5000][265/535][65332] Loss_D: -0.024358 Loss_G: 0.002090 Loss_D_real: -0.006120 Loss_D_fake 0.018238
[635/5000][270/535][65333] Loss_D: -0.023586 Loss_G: 0.022690 Loss_D_real: -0.030158 Loss_D_fake -0.006572
[635/5000][275/535][65334] Loss_D: -0.023889 Loss_G: 0.020036 Loss_D_real: -0.015967 Loss_D_fake 0.007923
[635/5000][280/535][65335] Loss_D: -0.024159 Loss_G: 0.010405 Loss_D_real: -0.010050 Loss_D_fake 0.014109
[635/5000][285/535][65336] Loss_D: -0.023004 Loss_G: 0.032188 Loss_D_real: -0.035697 Loss_D_fake -0.012693
[635/5000][290/535][65337] Loss_D: -0.024541 Loss_G: 0.017230 Loss_D_real: -0.015032 Loss_D_fake 0.009509
[635/5000][295/535][65338] Loss_D: -0.023839 Loss_G: -0.003538 Loss_D_real: -0.002758 Loss_D_fake 0.021081
[635/5000][300/535][65339] Loss_D: -0.024152 Loss_G: -0.001113 Loss_D_real: -0.012472 Loss_D_fake 0.011680
[635/5000][305/535][65340] Loss_D: -0.023632 Loss_G: 0.022138 Loss_D_real: -0.038589 Loss_D_fake -0.014958
[635/5000][310/535][65341] Loss_D: -0.025445 Loss_G: 0.026682 Loss_D_real: -0.025205 Loss_D_fake 0.000240
[635/5000][315/535][65342] Loss_D: -0.025435 Loss_G: 0.014730 Loss_D_real: -0.002410 Loss_D_fake 0.023024
[635/5000][320/535][65343] Loss_D: -0.024139 Loss_G: 0.000791 Loss_D_real: -0.008120 Loss_D_fake 0.016019
[635/5000][325/535][65344] Loss_D: -0.023347 Loss_G: 0.023029 Loss_D_real: -0.023133 Loss_D_fake 0.000213
[635/5000][330/535][65345] Loss_D: -0.023457 Loss_G: 0.024389 Loss_D_real: -0.023129 Loss_D_fake 0.000329
[635/5000][335/535][65346] Loss_D: -0.025096 Loss_G: 0.010700 Loss_D_real: -0.016643 Loss_D_fake 0.008453
[635/5000][340/535][65347] Loss_D: -0.023876 Loss_G: 0.009952 Loss_D_real: -0.018598 Loss_D_fake 0.005278
[635/5000][345/535][65348] Loss_D: -0.024125 Loss_G: 0.030453 Loss_D_real: -0.021783 Loss_D_fake 0.002342
[635/5000][350/535][65349] Loss_D: -0.024991 Loss_G: 0.011973 Loss_D_real: -0.006438 Loss_D_fake 0.018553
[635/5000][355/535][65350] Loss_D: -0.025831 Loss_G: 0.009993 Loss_D_real: -0.004377 Loss_D_fake 0.021454
[635/5000][360/535][65351] Loss_D: -0.024450 Loss_G: 0.036638 Loss_D_real: -0.026645 Loss_D_fake -0.002195
[635/5000][365/535][65352] Loss_D: -0.025240 Loss_G: 0.027092 Loss_D_real: -0.024295 Loss_D_fake 0.000945
[635/5000][370/535][65353] Loss_D: -0.024251 Loss_G: -0.003247 Loss_D_real: -0.007494 Loss_D_fake 0.016757
[635/5000][375/535][65354] Loss_D: -0.020458 Loss_G: 0.034599 Loss_D_real: -0.023493 Loss_D_fake -0.003035
[635/5000][380/535][65355] Loss_D: -0.023287 Loss_G: -0.018803 Loss_D_real: 0.007503 Loss_D_fake 0.030790
[635/5000][385/535][65356] Loss_D: -0.022348 Loss_G: 0.033330 Loss_D_real: -0.022398 Loss_D_fake -0.000051
[635/5000][390/535][65357] Loss_D: -0.023775 Loss_G: 0.010400 Loss_D_real: -0.025679 Loss_D_fake -0.001904
[635/5000][395/535][65358] Loss_D: -0.023785 Loss_G: 0.020921 Loss_D_real: -0.031578 Loss_D_fake -0.007793
[635/5000][400/535][65359] Loss_D: -0.024247 Loss_G: 0.005017 Loss_D_real: -0.014812 Loss_D_fake 0.009436
[635/5000][405/535][65360] Loss_D: -0.023980 Loss_G: 0.024256 Loss_D_real: -0.021965 Loss_D_fake 0.002015
[635/5000][410/535][65361] Loss_D: -0.024582 Loss_G: 0.004064 Loss_D_real: -0.009770 Loss_D_fake 0.014813
[635/5000][415/535][65362] Loss_D: -0.023308 Loss_G: -0.001156 Loss_D_real: -0.008458 Loss_D_fake 0.014850
[635/5000][420/535][65363] Loss_D: -0.025003 Loss_G: 0.022355 Loss_D_real: -0.017636 Loss_D_fake 0.007366
[635/5000][425/535][65364] Loss_D: -0.024957 Loss_G: 0.010581 Loss_D_real: -0.017965 Loss_D_fake 0.006992
[635/5000][430/535][65365] Loss_D: -0.023655 Loss_G: 0.031207 Loss_D_real: -0.024927 Loss_D_fake -0.001271
[635/5000][435/535][65366] Loss_D: -0.024120 Loss_G: 0.016950 Loss_D_real: -0.025583 Loss_D_fake -0.001463
[635/5000][440/535][65367] Loss_D: -0.025004 Loss_G: 0.019146 Loss_D_real: -0.005991 Loss_D_fake 0.019013
[635/5000][445/535][65368] Loss_D: -0.025171 Loss_G: -0.011313 Loss_D_real: -0.003081 Loss_D_fake 0.022090
[635/5000][450/535][65369] Loss_D: -0.023531 Loss_G: -0.001416 Loss_D_real: -0.006074 Loss_D_fake 0.017457
[635/5000][455/535][65370] Loss_D: -0.023376 Loss_G: 0.008958 Loss_D_real: -0.001520 Loss_D_fake 0.021856
[635/5000][460/535][65371] Loss_D: -0.024628 Loss_G: 0.035484 Loss_D_real: -0.027152 Loss_D_fake -0.002524
[635/5000][465/535][65372] Loss_D: -0.025273 Loss_G: 0.004202 Loss_D_real: -0.004347 Loss_D_fake 0.020927
[635/5000][470/535][65373] Loss_D: -0.022851 Loss_G: 0.011428 Loss_D_real: -0.009158 Loss_D_fake 0.013693
[635/5000][475/535][65374] Loss_D: -0.024002 Loss_G: -0.004397 Loss_D_real: -0.011695 Loss_D_fake 0.012306
[635/5000][480/535][65375] Loss_D: -0.024812 Loss_G: 0.013491 Loss_D_real: -0.017251 Loss_D_fake 0.007561
[635/5000][485/535][65376] Loss_D: -0.023055 Loss_G: 0.019630 Loss_D_real: -0.021029 Loss_D_fake 0.002026
[635/5000][490/535][65377] Loss_D: -0.024808 Loss_G: 0.011202 Loss_D_real: -0.017591 Loss_D_fake 0.007218
[635/5000][495/535][65378] Loss_D: -0.024797 Loss_G: 0.015490 Loss_D_real: -0.012969 Loss_D_fake 0.011828
[635/5000][500/535][65379] Loss_D: -0.023973 Loss_G: 0.009039 Loss_D_real: -0.007475 Loss_D_fake 0.016499
[635/5000][505/535][65380] Loss_D: -0.023691 Loss_G: 0.005805 Loss_D_real: -0.003091 Loss_D_fake 0.020601
[635/5000][510/535][65381] Loss_D: -0.025169 Loss_G: 0.022199 Loss_D_real: -0.023206 Loss_D_fake 0.001963
[635/5000][515/535][65382] Loss_D: -0.024080 Loss_G: 0.026840 Loss_D_real: -0.017343 Loss_D_fake 0.006737
[635/5000][520/535][65383] Loss_D: -0.023572 Loss_G: 0.016538 Loss_D_real: -0.004357 Loss_D_fake 0.019215
[635/5000][525/535][65384] Loss_D: -0.023963 Loss_G: 0.023640 Loss_D_real: -0.026644 Loss_D_fake -0.002681
[635/5000][530/535][65385] Loss_D: -0.024069 Loss_G: 0.023318 Loss_D_real: -0.023404 Loss_D_fake 0.000665
[635/5000][535/535][65386] Loss_D: -0.024446 Loss_G: 0.036281 Loss_D_real: -0.030162 Loss_D_fake -0.005715
[636/5000][5/535][65387] Loss_D: -0.024199 Loss_G: 0.003922 Loss_D_real: -0.005006 Loss_D_fake 0.019193
[636/5000][10/535][65388] Loss_D: -0.023211 Loss_G: 0.013038 Loss_D_real: -0.011493 Loss_D_fake 0.011718
[636/5000][15/535][65389] Loss_D: -0.023902 Loss_G: -0.003532 Loss_D_real: -0.001601 Loss_D_fake 0.022301
[636/5000][20/535][65390] Loss_D: -0.023447 Loss_G: 0.025910 Loss_D_real: -0.018188 Loss_D_fake 0.005259
[636/5000][25/535][65391] Loss_D: -0.023462 Loss_G: 0.016014 Loss_D_real: -0.026506 Loss_D_fake -0.003044
[636/5000][30/535][65392] Loss_D: -0.024043 Loss_G: 0.000426 Loss_D_real: -0.001141 Loss_D_fake 0.022902
[636/5000][35/535][65393] Loss_D: -0.023571 Loss_G: 0.003935 Loss_D_real: -0.011711 Loss_D_fake 0.011860
[636/5000][40/535][65394] Loss_D: -0.023484 Loss_G: 0.029687 Loss_D_real: -0.027504 Loss_D_fake -0.004020
[636/5000][45/535][65395] Loss_D: -0.024603 Loss_G: 0.027939 Loss_D_real: -0.013742 Loss_D_fake 0.010861
[636/5000][50/535][65396] Loss_D: -0.026711 Loss_G: 0.023685 Loss_D_real: -0.013025 Loss_D_fake 0.013686
[636/5000][55/535][65397] Loss_D: -0.024057 Loss_G: 0.017849 Loss_D_real: -0.012675 Loss_D_fake 0.011381
[636/5000][60/535][65398] Loss_D: -0.024997 Loss_G: 0.008363 Loss_D_real: -0.011376 Loss_D_fake 0.013620
[636/5000][65/535][65399] Loss_D: -0.024770 Loss_G: 0.003521 Loss_D_real: -0.015284 Loss_D_fake 0.009486
[636/5000][70/535][65400] Loss_D: -0.024741 Loss_G: 0.009934 Loss_D_real: -0.018931 Loss_D_fake 0.005811
[636/5000][75/535][65401] Loss_D: -0.023708 Loss_G: 0.021830 Loss_D_real: -0.016528 Loss_D_fake 0.007180
[636/5000][80/535][65402] Loss_D: -0.024387 Loss_G: -0.007195 Loss_D_real: 0.002464 Loss_D_fake 0.026850
[636/5000][85/535][65403] Loss_D: -0.024164 Loss_G: 0.024102 Loss_D_real: -0.021724 Loss_D_fake 0.002440
[636/5000][90/535][65404] Loss_D: -0.024646 Loss_G: -0.007073 Loss_D_real: -0.006031 Loss_D_fake 0.018614
[636/5000][95/535][65405] Loss_D: -0.024360 Loss_G: 0.026025 Loss_D_real: -0.014676 Loss_D_fake 0.009684
[636/5000][100/535][65406] Loss_D: -0.024358 Loss_G: 0.015713 Loss_D_real: -0.011057 Loss_D_fake 0.013301
[636/5000][105/535][65407] Loss_D: -0.024319 Loss_G: 0.017466 Loss_D_real: -0.017035 Loss_D_fake 0.007284
[636/5000][110/535][65408] Loss_D: -0.023806 Loss_G: 0.035905 Loss_D_real: -0.020129 Loss_D_fake 0.003677
[636/5000][115/535][65409] Loss_D: -0.023691 Loss_G: 0.013183 Loss_D_real: -0.020032 Loss_D_fake 0.003659
[636/5000][120/535][65410] Loss_D: -0.025538 Loss_G: 0.020112 Loss_D_real: -0.020755 Loss_D_fake 0.004783
[636/5000][125/535][65411] Loss_D: -0.026183 Loss_G: 0.004580 Loss_D_real: -0.014854 Loss_D_fake 0.011329
[636/5000][130/535][65412] Loss_D: -0.024553 Loss_G: 0.032094 Loss_D_real: -0.030644 Loss_D_fake -0.006091
[636/5000][135/535][65413] Loss_D: -0.024412 Loss_G: 0.007831 Loss_D_real: -0.002952 Loss_D_fake 0.021459
[636/5000][140/535][65414] Loss_D: -0.023474 Loss_G: 0.022565 Loss_D_real: -0.022639 Loss_D_fake 0.000835
[636/5000][145/535][65415] Loss_D: -0.024322 Loss_G: 0.021204 Loss_D_real: -0.015792 Loss_D_fake 0.008530
[636/5000][150/535][65416] Loss_D: -0.025238 Loss_G: 0.022415 Loss_D_real: -0.014346 Loss_D_fake 0.010891
[636/5000][155/535][65417] Loss_D: -0.024187 Loss_G: -0.003006 Loss_D_real: 0.001299 Loss_D_fake 0.025486
[636/5000][160/535][65418] Loss_D: -0.023105 Loss_G: 0.018511 Loss_D_real: -0.025240 Loss_D_fake -0.002135
[636/5000][165/535][65419] Loss_D: -0.023735 Loss_G: 0.001494 Loss_D_real: -0.008721 Loss_D_fake 0.015014
[636/5000][170/535][65420] Loss_D: -0.023137 Loss_G: 0.017133 Loss_D_real: -0.020031 Loss_D_fake 0.003106
[636/5000][175/535][65421] Loss_D: -0.024591 Loss_G: 0.005189 Loss_D_real: -0.014880 Loss_D_fake 0.009712
[636/5000][180/535][65422] Loss_D: -0.024263 Loss_G: -0.001511 Loss_D_real: -0.006457 Loss_D_fake 0.017807
[636/5000][185/535][65423] Loss_D: -0.024376 Loss_G: 0.026816 Loss_D_real: -0.019011 Loss_D_fake 0.005365
[636/5000][190/535][65424] Loss_D: -0.024744 Loss_G: 0.001111 Loss_D_real: -0.011617 Loss_D_fake 0.013126
[636/5000][195/535][65425] Loss_D: -0.024859 Loss_G: 0.032034 Loss_D_real: -0.023341 Loss_D_fake 0.001518
[636/5000][200/535][65426] Loss_D: -0.024599 Loss_G: -0.000551 Loss_D_real: -0.011689 Loss_D_fake 0.012910
[636/5000][205/535][65427] Loss_D: -0.024941 Loss_G: -0.001698 Loss_D_real: -0.002360 Loss_D_fake 0.022582
[636/5000][210/535][65428] Loss_D: -0.025192 Loss_G: 0.024503 Loss_D_real: -0.018991 Loss_D_fake 0.006202
[636/5000][215/535][65429] Loss_D: -0.025051 Loss_G: 0.023213 Loss_D_real: -0.012904 Loss_D_fake 0.012147
[636/5000][220/535][65430] Loss_D: -0.025052 Loss_G: 0.002102 Loss_D_real: 0.002977 Loss_D_fake 0.028029
[636/5000][225/535][65431] Loss_D: -0.024161 Loss_G: 0.032877 Loss_D_real: -0.022649 Loss_D_fake 0.001513
[636/5000][230/535][65432] Loss_D: -0.024897 Loss_G: -0.001567 Loss_D_real: -0.007009 Loss_D_fake 0.017888
[636/5000][235/535][65433] Loss_D: -0.024381 Loss_G: -0.001948 Loss_D_real: -0.012374 Loss_D_fake 0.012007
[636/5000][240/535][65434] Loss_D: -0.023258 Loss_G: 0.021558 Loss_D_real: -0.019045 Loss_D_fake 0.004213
[636/5000][245/535][65435] Loss_D: -0.023809 Loss_G: 0.027159 Loss_D_real: -0.025499 Loss_D_fake -0.001690
[636/5000][250/535][65436] Loss_D: -0.023603 Loss_G: -0.001998 Loss_D_real: 0.007878 Loss_D_fake 0.031481
[636/5000][255/535][65437] Loss_D: -0.023931 Loss_G: 0.025430 Loss_D_real: -0.023361 Loss_D_fake 0.000570
[636/5000][260/535][65438] Loss_D: -0.024107 Loss_G: 0.004651 Loss_D_real: -0.014399 Loss_D_fake 0.009708
[636/5000][265/535][65439] Loss_D: -0.023716 Loss_G: -0.001662 Loss_D_real: -0.016711 Loss_D_fake 0.007005
[636/5000][270/535][65440] Loss_D: -0.025596 Loss_G: 0.022382 Loss_D_real: -0.012865 Loss_D_fake 0.012731
[636/5000][275/535][65441] Loss_D: -0.023679 Loss_G: 0.000148 Loss_D_real: -0.002564 Loss_D_fake 0.021115
[636/5000][280/535][65442] Loss_D: -0.023395 Loss_G: 0.019639 Loss_D_real: -0.020687 Loss_D_fake 0.002708
[636/5000][285/535][65443] Loss_D: -0.024088 Loss_G: 0.005371 Loss_D_real: -0.003269 Loss_D_fake 0.020819
[636/5000][290/535][65444] Loss_D: -0.023769 Loss_G: 0.001833 Loss_D_real: -0.009714 Loss_D_fake 0.014055
[636/5000][295/535][65445] Loss_D: -0.025122 Loss_G: 0.026238 Loss_D_real: -0.027992 Loss_D_fake -0.002871
[636/5000][300/535][65446] Loss_D: -0.024418 Loss_G: -0.000405 Loss_D_real: -0.003202 Loss_D_fake 0.021216
[636/5000][305/535][65447] Loss_D: -0.024176 Loss_G: 0.009335 Loss_D_real: -0.019314 Loss_D_fake 0.004861
[636/5000][310/535][65448] Loss_D: -0.024317 Loss_G: 0.009522 Loss_D_real: -0.004163 Loss_D_fake 0.020154
[636/5000][315/535][65449] Loss_D: -0.023799 Loss_G: 0.009435 Loss_D_real: -0.006107 Loss_D_fake 0.017692
[636/5000][320/535][65450] Loss_D: -0.023539 Loss_G: 0.007677 Loss_D_real: -0.008600 Loss_D_fake 0.014938
[636/5000][325/535][65451] Loss_D: -0.024469 Loss_G: 0.011615 Loss_D_real: -0.013538 Loss_D_fake 0.010931
[636/5000][330/535][65452] Loss_D: -0.024790 Loss_G: 0.024140 Loss_D_real: -0.017205 Loss_D_fake 0.007585
[636/5000][335/535][65453] Loss_D: -0.024160 Loss_G: -0.006042 Loss_D_real: -0.006838 Loss_D_fake 0.017322
[636/5000][340/535][65454] Loss_D: -0.024612 Loss_G: 0.013607 Loss_D_real: -0.003431 Loss_D_fake 0.021180
[636/5000][345/535][65455] Loss_D: -0.023442 Loss_G: -0.007188 Loss_D_real: -0.009523 Loss_D_fake 0.013918
[636/5000][350/535][65456] Loss_D: -0.024409 Loss_G: 0.019081 Loss_D_real: -0.028008 Loss_D_fake -0.003599
[636/5000][355/535][65457] Loss_D: -0.024426 Loss_G: 0.016355 Loss_D_real: -0.010440 Loss_D_fake 0.013986
[636/5000][360/535][65458] Loss_D: -0.024760 Loss_G: -0.007317 Loss_D_real: -0.005124 Loss_D_fake 0.019637
[636/5000][365/535][65459] Loss_D: -0.024501 Loss_G: 0.003701 Loss_D_real: -0.006704 Loss_D_fake 0.017797
[636/5000][370/535][65460] Loss_D: -0.024529 Loss_G: 0.006757 Loss_D_real: -0.013279 Loss_D_fake 0.011250
[636/5000][375/535][65461] Loss_D: -0.023342 Loss_G: 0.018785 Loss_D_real: -0.009856 Loss_D_fake 0.013486
[636/5000][380/535][65462] Loss_D: -0.025160 Loss_G: 0.037500 Loss_D_real: -0.023278 Loss_D_fake 0.001882
[636/5000][385/535][65463] Loss_D: -0.024469 Loss_G: 0.008670 Loss_D_real: -0.010722 Loss_D_fake 0.013747
[636/5000][390/535][65464] Loss_D: -0.023340 Loss_G: 0.011898 Loss_D_real: -0.023247 Loss_D_fake 0.000092
[636/5000][395/535][65465] Loss_D: -0.024668 Loss_G: 0.002115 Loss_D_real: -0.007296 Loss_D_fake 0.017372
[636/5000][400/535][65466] Loss_D: -0.024340 Loss_G: 0.028233 Loss_D_real: -0.035702 Loss_D_fake -0.011362
[636/5000][405/535][65467] Loss_D: -0.025758 Loss_G: 0.017873 Loss_D_real: -0.016575 Loss_D_fake 0.009182
[636/5000][410/535][65468] Loss_D: -0.024078 Loss_G: 0.036539 Loss_D_real: -0.028276 Loss_D_fake -0.004198
[636/5000][415/535][65469] Loss_D: -0.024153 Loss_G: -0.009365 Loss_D_real: 0.004708 Loss_D_fake 0.028860
[636/5000][420/535][65470] Loss_D: -0.024007 Loss_G: 0.016386 Loss_D_real: -0.016394 Loss_D_fake 0.007613
[636/5000][425/535][65471] Loss_D: -0.024055 Loss_G: 0.019672 Loss_D_real: -0.026324 Loss_D_fake -0.002269
[636/5000][430/535][65472] Loss_D: -0.024692 Loss_G: 0.007884 Loss_D_real: -0.000511 Loss_D_fake 0.024181
[636/5000][435/535][65473] Loss_D: -0.023996 Loss_G: 0.031357 Loss_D_real: -0.034234 Loss_D_fake -0.010238
[636/5000][440/535][65474] Loss_D: -0.024555 Loss_G: 0.004564 Loss_D_real: -0.011783 Loss_D_fake 0.012772
[636/5000][445/535][65475] Loss_D: -0.023879 Loss_G: 0.022116 Loss_D_real: -0.019185 Loss_D_fake 0.004694
[636/5000][450/535][65476] Loss_D: -0.024043 Loss_G: -0.006035 Loss_D_real: -0.010647 Loss_D_fake 0.013396
[636/5000][455/535][65477] Loss_D: -0.023784 Loss_G: 0.018241 Loss_D_real: -0.013591 Loss_D_fake 0.010193
[636/5000][460/535][65478] Loss_D: -0.024687 Loss_G: 0.012409 Loss_D_real: -0.011800 Loss_D_fake 0.012886
[636/5000][465/535][65479] Loss_D: -0.023739 Loss_G: 0.014022 Loss_D_real: -0.010093 Loss_D_fake 0.013646
[636/5000][470/535][65480] Loss_D: -0.024769 Loss_G: -0.001083 Loss_D_real: 0.003110 Loss_D_fake 0.027879
[636/5000][475/535][65481] Loss_D: -0.024084 Loss_G: 0.018604 Loss_D_real: -0.017613 Loss_D_fake 0.006470
[636/5000][480/535][65482] Loss_D: -0.024698 Loss_G: 0.019206 Loss_D_real: -0.015278 Loss_D_fake 0.009420
[636/5000][485/535][65483] Loss_D: -0.024405 Loss_G: 0.012386 Loss_D_real: -0.012732 Loss_D_fake 0.011673
[636/5000][490/535][65484] Loss_D: -0.025471 Loss_G: 0.021701 Loss_D_real: -0.014768 Loss_D_fake 0.010703
[636/5000][495/535][65485] Loss_D: -0.024162 Loss_G: 0.040247 Loss_D_real: -0.024684 Loss_D_fake -0.000522
[636/5000][500/535][65486] Loss_D: -0.025006 Loss_G: 0.008760 Loss_D_real: -0.011443 Loss_D_fake 0.013563
[636/5000][505/535][65487] Loss_D: -0.024899 Loss_G: 0.006020 Loss_D_real: -0.017344 Loss_D_fake 0.007556
[636/5000][510/535][65488] Loss_D: -0.023861 Loss_G: 0.032918 Loss_D_real: -0.029590 Loss_D_fake -0.005729
[636/5000][515/535][65489] Loss_D: -0.022582 Loss_G: -0.011664 Loss_D_real: 0.012495 Loss_D_fake 0.035077
[636/5000][520/535][65490] Loss_D: -0.023331 Loss_G: 0.010225 Loss_D_real: -0.021950 Loss_D_fake 0.001381
[636/5000][525/535][65491] Loss_D: -0.025525 Loss_G: 0.001703 Loss_D_real: -0.009266 Loss_D_fake 0.016259
[636/5000][530/535][65492] Loss_D: -0.023716 Loss_G: 0.014724 Loss_D_real: -0.006622 Loss_D_fake 0.017093
[636/5000][535/535][65493] Loss_D: -0.021933 Loss_G: 0.043124 Loss_D_real: -0.017605 Loss_D_fake 0.004328
[637/5000][5/535][65494] Loss_D: -0.024685 Loss_G: 0.023125 Loss_D_real: -0.020900 Loss_D_fake 0.003785
[637/5000][10/535][65495] Loss_D: -0.024373 Loss_G: 0.024799 Loss_D_real: -0.021199 Loss_D_fake 0.003174
[637/5000][15/535][65496] Loss_D: -0.025400 Loss_G: 0.004629 Loss_D_real: -0.022351 Loss_D_fake 0.003049
[637/5000][20/535][65497] Loss_D: -0.024570 Loss_G: 0.028378 Loss_D_real: -0.026947 Loss_D_fake -0.002378
[637/5000][25/535][65498] Loss_D: -0.025235 Loss_G: 0.010820 Loss_D_real: -0.014519 Loss_D_fake 0.010716
[637/5000][30/535][65499] Loss_D: -0.024388 Loss_G: -0.007470 Loss_D_real: -0.007671 Loss_D_fake 0.016717
[637/5000][35/535][65500] Loss_D: -0.022539 Loss_G: 0.009267 Loss_D_real: -0.018144 Loss_D_fake 0.004395
[637/5000][135/535][65501] Loss_D: -0.026769 Loss_G: 0.039066 Loss_D_real: -0.031403 Loss_D_fake -0.004634
[637/5000][140/535][65502] Loss_D: -0.025599 Loss_G: 0.019242 Loss_D_real: -0.020301 Loss_D_fake 0.005298
[637/5000][145/535][65503] Loss_D: -0.021600 Loss_G: 0.007375 Loss_D_real: -0.011919 Loss_D_fake 0.009681
[637/5000][150/535][65504] Loss_D: -0.021972 Loss_G: 0.016476 Loss_D_real: -0.017696 Loss_D_fake 0.004276
[637/5000][155/535][65505] Loss_D: -0.023231 Loss_G: 0.024832 Loss_D_real: -0.018803 Loss_D_fake 0.004428
[637/5000][160/535][65506] Loss_D: -0.023550 Loss_G: 0.012733 Loss_D_real: -0.019724 Loss_D_fake 0.003825
[637/5000][165/535][65507] Loss_D: -0.023186 Loss_G: 0.014838 Loss_D_real: -0.022593 Loss_D_fake 0.000593
[637/5000][170/535][65508] Loss_D: -0.025130 Loss_G: 0.007359 Loss_D_real: -0.013121 Loss_D_fake 0.012009
[637/5000][175/535][65509] Loss_D: -0.024734 Loss_G: 0.024644 Loss_D_real: -0.033233 Loss_D_fake -0.008499
[637/5000][180/535][65510] Loss_D: -0.025338 Loss_G: 0.023100 Loss_D_real: -0.023201 Loss_D_fake 0.002137
[637/5000][185/535][65511] Loss_D: -0.025969 Loss_G: 0.001212 Loss_D_real: 0.002606 Loss_D_fake 0.028575
[637/5000][190/535][65512] Loss_D: -0.022718 Loss_G: -0.001471 Loss_D_real: -0.001790 Loss_D_fake 0.020928
[637/5000][195/535][65513] Loss_D: -0.023590 Loss_G: -0.000243 Loss_D_real: -0.005273 Loss_D_fake 0.018317
[637/5000][200/535][65514] Loss_D: -0.024144 Loss_G: 0.025817 Loss_D_real: -0.029585 Loss_D_fake -0.005441
[637/5000][205/535][65515] Loss_D: -0.024731 Loss_G: -0.014431 Loss_D_real: -0.003456 Loss_D_fake 0.021275
[637/5000][210/535][65516] Loss_D: -0.023353 Loss_G: 0.024292 Loss_D_real: -0.025322 Loss_D_fake -0.001970
[637/5000][215/535][65517] Loss_D: -0.023754 Loss_G: -0.007390 Loss_D_real: -0.009380 Loss_D_fake 0.014374
[637/5000][220/535][65518] Loss_D: -0.023866 Loss_G: 0.035985 Loss_D_real: -0.016935 Loss_D_fake 0.006931
[637/5000][225/535][65519] Loss_D: -0.025594 Loss_G: 0.015993 Loss_D_real: -0.014014 Loss_D_fake 0.011580
[637/5000][230/535][65520] Loss_D: -0.024875 Loss_G: 0.005992 Loss_D_real: -0.017641 Loss_D_fake 0.007234
[637/5000][235/535][65521] Loss_D: -0.024524 Loss_G: 0.016974 Loss_D_real: -0.021569 Loss_D_fake 0.002955
[637/5000][240/535][65522] Loss_D: -0.024853 Loss_G: 0.012538 Loss_D_real: -0.005922 Loss_D_fake 0.018931
[637/5000][245/535][65523] Loss_D: -0.024562 Loss_G: 0.021470 Loss_D_real: -0.014230 Loss_D_fake 0.010332
[637/5000][250/535][65524] Loss_D: -0.025049 Loss_G: 0.009774 Loss_D_real: -0.013554 Loss_D_fake 0.011495
[637/5000][255/535][65525] Loss_D: -0.026035 Loss_G: 0.015510 Loss_D_real: -0.016464 Loss_D_fake 0.009570
[637/5000][260/535][65526] Loss_D: -0.024650 Loss_G: 0.002603 Loss_D_real: 0.000830 Loss_D_fake 0.025480
[637/5000][265/535][65527] Loss_D: -0.021969 Loss_G: 0.016258 Loss_D_real: -0.021738 Loss_D_fake 0.000231
[637/5000][270/535][65528] Loss_D: -0.023057 Loss_G: 0.021463 Loss_D_real: -0.024172 Loss_D_fake -0.001115
[637/5000][275/535][65529] Loss_D: -0.024045 Loss_G: 0.007447 Loss_D_real: -0.003732 Loss_D_fake 0.020314
[637/5000][280/535][65530] Loss_D: -0.024667 Loss_G: 0.013032 Loss_D_real: -0.011061 Loss_D_fake 0.013605
[637/5000][285/535][65531] Loss_D: -0.023194 Loss_G: 0.028110 Loss_D_real: -0.023940 Loss_D_fake -0.000746
[637/5000][290/535][65532] Loss_D: -0.023953 Loss_G: 0.007464 Loss_D_real: -0.006903 Loss_D_fake 0.017050
[637/5000][295/535][65533] Loss_D: -0.023234 Loss_G: 0.013799 Loss_D_real: -0.016865 Loss_D_fake 0.006370
[637/5000][300/535][65534] Loss_D: -0.023902 Loss_G: 0.005509 Loss_D_real: -0.002055 Loss_D_fake 0.021847
[637/5000][305/535][65535] Loss_D: -0.023632 Loss_G: 0.026121 Loss_D_real: -0.020751 Loss_D_fake 0.002881
[637/5000][310/535][65536] Loss_D: -0.024664 Loss_G: 0.000572 Loss_D_real: -0.012664 Loss_D_fake 0.011999
[637/5000][315/535][65537] Loss_D: -0.021028 Loss_G: 0.035981 Loss_D_real: -0.032500 Loss_D_fake -0.011472
[637/5000][320/535][65538] Loss_D: -0.022930 Loss_G: 0.005911 Loss_D_real: -0.008886 Loss_D_fake 0.014045
[637/5000][325/535][65539] Loss_D: -0.024583 Loss_G: 0.018255 Loss_D_real: -0.009970 Loss_D_fake 0.014613
[637/5000][330/535][65540] Loss_D: -0.024719 Loss_G: 0.013835 Loss_D_real: -0.020319 Loss_D_fake 0.004400
[637/5000][335/535][65541] Loss_D: -0.023977 Loss_G: 0.006086 Loss_D_real: -0.015952 Loss_D_fake 0.008025
[637/5000][340/535][65542] Loss_D: -0.023553 Loss_G: -0.001937 Loss_D_real: -0.000779 Loss_D_fake 0.022774
[637/5000][345/535][65543] Loss_D: -0.023209 Loss_G: 0.016827 Loss_D_real: -0.016440 Loss_D_fake 0.006769
[637/5000][350/535][65544] Loss_D: -0.022760 Loss_G: -0.005422 Loss_D_real: -0.006142 Loss_D_fake 0.016618
[637/5000][355/535][65545] Loss_D: -0.025375 Loss_G: 0.024901 Loss_D_real: -0.009889 Loss_D_fake 0.015485
[637/5000][360/535][65546] Loss_D: -0.024348 Loss_G: 0.014426 Loss_D_real: -0.014103 Loss_D_fake 0.010245
[637/5000][365/535][65547] Loss_D: -0.024954 Loss_G: 0.009839 Loss_D_real: -0.011967 Loss_D_fake 0.012987
[637/5000][370/535][65548] Loss_D: -0.025137 Loss_G: 0.014085 Loss_D_real: -0.018584 Loss_D_fake 0.006553
[637/5000][375/535][65549] Loss_D: -0.024926 Loss_G: 0.001276 Loss_D_real: -0.011527 Loss_D_fake 0.013399
[637/5000][380/535][65550] Loss_D: -0.025290 Loss_G: 0.025492 Loss_D_real: -0.020750 Loss_D_fake 0.004541
[637/5000][385/535][65551] Loss_D: -0.025482 Loss_G: 0.013743 Loss_D_real: -0.019450 Loss_D_fake 0.006031
[637/5000][390/535][65552] Loss_D: -0.025281 Loss_G: 0.014529 Loss_D_real: -0.016681 Loss_D_fake 0.008600
[637/5000][395/535][65553] Loss_D: -0.024192 Loss_G: 0.030423 Loss_D_real: -0.027160 Loss_D_fake -0.002968
[637/5000][400/535][65554] Loss_D: -0.026452 Loss_G: 0.009398 Loss_D_real: -0.002291 Loss_D_fake 0.024161
[637/5000][405/535][65555] Loss_D: -0.024516 Loss_G: -0.005030 Loss_D_real: -0.005955 Loss_D_fake 0.018560
[637/5000][410/535][65556] Loss_D: -0.025005 Loss_G: 0.014196 Loss_D_real: -0.013099 Loss_D_fake 0.011906
[637/5000][415/535][65557] Loss_D: -0.024596 Loss_G: 0.020388 Loss_D_real: -0.016783 Loss_D_fake 0.007812
[637/5000][420/535][65558] Loss_D: -0.024570 Loss_G: 0.008645 Loss_D_real: -0.015922 Loss_D_fake 0.008648
[637/5000][425/535][65559] Loss_D: -0.024296 Loss_G: 0.018554 Loss_D_real: -0.017999 Loss_D_fake 0.006297
[637/5000][430/535][65560] Loss_D: -0.023806 Loss_G: 0.031643 Loss_D_real: -0.026141 Loss_D_fake -0.002335
[637/5000][435/535][65561] Loss_D: -0.023666 Loss_G: -0.011530 Loss_D_real: 0.006940 Loss_D_fake 0.030606
[637/5000][440/535][65562] Loss_D: -0.022960 Loss_G: 0.024138 Loss_D_real: -0.017856 Loss_D_fake 0.005104
[637/5000][445/535][65563] Loss_D: -0.021964 Loss_G: 0.045258 Loss_D_real: -0.030146 Loss_D_fake -0.008183
[637/5000][450/535][65564] Loss_D: -0.024343 Loss_G: -0.004925 Loss_D_real: -0.004622 Loss_D_fake 0.019722
[637/5000][455/535][65565] Loss_D: -0.024783 Loss_G: 0.012464 Loss_D_real: -0.022311 Loss_D_fake 0.002472
[637/5000][460/535][65566] Loss_D: -0.023950 Loss_G: 0.016029 Loss_D_real: -0.008929 Loss_D_fake 0.015021
[637/5000][465/535][65567] Loss_D: -0.023723 Loss_G: 0.017409 Loss_D_real: -0.014285 Loss_D_fake 0.009438
[637/5000][470/535][65568] Loss_D: -0.023056 Loss_G: 0.032702 Loss_D_real: -0.030879 Loss_D_fake -0.007822
[637/5000][475/535][65569] Loss_D: -0.025589 Loss_G: 0.015711 Loss_D_real: -0.015577 Loss_D_fake 0.010012
[637/5000][480/535][65570] Loss_D: -0.025059 Loss_G: 0.010346 Loss_D_real: -0.018605 Loss_D_fake 0.006454
[637/5000][485/535][65571] Loss_D: -0.024867 Loss_G: 0.010676 Loss_D_real: -0.015603 Loss_D_fake 0.009264
[637/5000][490/535][65572] Loss_D: -0.026217 Loss_G: 0.000717 Loss_D_real: -0.020175 Loss_D_fake 0.006042
[637/5000][495/535][65573] Loss_D: -0.022927 Loss_G: 0.030112 Loss_D_real: -0.021288 Loss_D_fake 0.001640
[637/5000][500/535][65574] Loss_D: -0.024695 Loss_G: 0.000088 Loss_D_real: -0.005403 Loss_D_fake 0.019292
[637/5000][505/535][65575] Loss_D: -0.024755 Loss_G: 0.016018 Loss_D_real: -0.019108 Loss_D_fake 0.005647
[637/5000][510/535][65576] Loss_D: -0.024489 Loss_G: 0.002116 Loss_D_real: -0.002672 Loss_D_fake 0.021817
[637/5000][515/535][65577] Loss_D: -0.024716 Loss_G: -0.004871 Loss_D_real: -0.005956 Loss_D_fake 0.018759
[637/5000][520/535][65578] Loss_D: -0.023414 Loss_G: 0.017511 Loss_D_real: -0.023420 Loss_D_fake -0.000006
[637/5000][525/535][65579] Loss_D: -0.025743 Loss_G: 0.005756 Loss_D_real: -0.006685 Loss_D_fake 0.019059
[637/5000][530/535][65580] Loss_D: -0.023748 Loss_G: 0.021280 Loss_D_real: -0.021492 Loss_D_fake 0.002256
[637/5000][535/535][65581] Loss_D: -0.023542 Loss_G: 0.041114 Loss_D_real: -0.007466 Loss_D_fake 0.016076
[638/5000][5/535][65582] Loss_D: -0.025243 Loss_G: 0.005008 Loss_D_real: -0.010835 Loss_D_fake 0.014408
[638/5000][10/535][65583] Loss_D: -0.024988 Loss_G: 0.002462 Loss_D_real: -0.014879 Loss_D_fake 0.010109
[638/5000][15/535][65584] Loss_D: -0.026029 Loss_G: 0.018569 Loss_D_real: -0.020363 Loss_D_fake 0.005666
[638/5000][20/535][65585] Loss_D: -0.025088 Loss_G: 0.017128 Loss_D_real: -0.018953 Loss_D_fake 0.006135
[638/5000][25/535][65586] Loss_D: -0.024631 Loss_G: 0.001769 Loss_D_real: -0.008062 Loss_D_fake 0.016569
[638/5000][30/535][65587] Loss_D: -0.025197 Loss_G: 0.028542 Loss_D_real: -0.022854 Loss_D_fake 0.002343
[638/5000][35/535][65588] Loss_D: -0.024468 Loss_G: 0.022751 Loss_D_real: -0.007868 Loss_D_fake 0.016600
[638/5000][40/535][65589] Loss_D: -0.024323 Loss_G: 0.000257 Loss_D_real: -0.012359 Loss_D_fake 0.011964
[638/5000][45/535][65590] Loss_D: -0.023372 Loss_G: 0.024817 Loss_D_real: -0.018430 Loss_D_fake 0.004942
[638/5000][50/535][65591] Loss_D: -0.024710 Loss_G: 0.005010 Loss_D_real: -0.002568 Loss_D_fake 0.022142
[638/5000][55/535][65592] Loss_D: -0.024166 Loss_G: 0.013910 Loss_D_real: -0.015524 Loss_D_fake 0.008641
[638/5000][60/535][65593] Loss_D: -0.024105 Loss_G: 0.027357 Loss_D_real: -0.021769 Loss_D_fake 0.002337
[638/5000][65/535][65594] Loss_D: -0.024459 Loss_G: 0.006029 Loss_D_real: -0.008187 Loss_D_fake 0.016271
[638/5000][70/535][65595] Loss_D: -0.022117 Loss_G: 0.036353 Loss_D_real: -0.027604 Loss_D_fake -0.005487
[638/5000][75/535][65596] Loss_D: -0.024129 Loss_G: 0.001162 Loss_D_real: -0.009624 Loss_D_fake 0.014505
[638/5000][80/535][65597] Loss_D: -0.024297 Loss_G: 0.022872 Loss_D_real: -0.021382 Loss_D_fake 0.002915
[638/5000][85/535][65598] Loss_D: -0.024270 Loss_G: 0.018502 Loss_D_real: -0.014256 Loss_D_fake 0.010014
[638/5000][90/535][65599] Loss_D: -0.024959 Loss_G: 0.014561 Loss_D_real: -0.020601 Loss_D_fake 0.004359
[638/5000][95/535][65600] Loss_D: -0.023770 Loss_G: 0.007506 Loss_D_real: -0.011779 Loss_D_fake 0.011991
[638/5000][100/535][65601] Loss_D: -0.024217 Loss_G: 0.003097 Loss_D_real: -0.002640 Loss_D_fake 0.021577
[638/5000][105/535][65602] Loss_D: -0.024308 Loss_G: -0.001356 Loss_D_real: -0.005555 Loss_D_fake 0.018752
[638/5000][110/535][65603] Loss_D: -0.023810 Loss_G: 0.016899 Loss_D_real: -0.028859 Loss_D_fake -0.005049
[638/5000][115/535][65604] Loss_D: -0.024260 Loss_G: 0.025184 Loss_D_real: -0.019713 Loss_D_fake 0.004547
[638/5000][120/535][65605] Loss_D: -0.024348 Loss_G: -0.001526 Loss_D_real: -0.006565 Loss_D_fake 0.017783
[638/5000][125/535][65606] Loss_D: -0.022790 Loss_G: 0.038011 Loss_D_real: -0.032520 Loss_D_fake -0.009730
[638/5000][130/535][65607] Loss_D: -0.025427 Loss_G: -0.005454 Loss_D_real: -0.004515 Loss_D_fake 0.020912
[638/5000][135/535][65608] Loss_D: -0.024659 Loss_G: 0.010575 Loss_D_real: -0.017308 Loss_D_fake 0.007350
[638/5000][140/535][65609] Loss_D: -0.024938 Loss_G: 0.006573 Loss_D_real: -0.008700 Loss_D_fake 0.016238
[638/5000][145/535][65610] Loss_D: -0.024158 Loss_G: 0.015759 Loss_D_real: -0.018809 Loss_D_fake 0.005349
[638/5000][150/535][65611] Loss_D: -0.025304 Loss_G: 0.005790 Loss_D_real: -0.006778 Loss_D_fake 0.018526
[638/5000][155/535][65612] Loss_D: -0.023799 Loss_G: 0.002584 Loss_D_real: -0.012625 Loss_D_fake 0.011174
[638/5000][160/535][65613] Loss_D: -0.024072 Loss_G: 0.022830 Loss_D_real: -0.026584 Loss_D_fake -0.002512
[638/5000][165/535][65614] Loss_D: -0.021668 Loss_G: 0.032338 Loss_D_real: -0.027158 Loss_D_fake -0.005490
[638/5000][170/535][65615] Loss_D: -0.025422 Loss_G: 0.007843 Loss_D_real: -0.008220 Loss_D_fake 0.017202
[638/5000][175/535][65616] Loss_D: -0.025123 Loss_G: 0.011694 Loss_D_real: -0.002665 Loss_D_fake 0.022459
[638/5000][180/535][65617] Loss_D: -0.024207 Loss_G: 0.000159 Loss_D_real: -0.010250 Loss_D_fake 0.013957
[638/5000][185/535][65618] Loss_D: -0.023499 Loss_G: -0.003521 Loss_D_real: -0.003097 Loss_D_fake 0.020402
[638/5000][190/535][65619] Loss_D: -0.022512 Loss_G: 0.016159 Loss_D_real: -0.017000 Loss_D_fake 0.005512
[638/5000][195/535][65620] Loss_D: -0.023427 Loss_G: 0.030473 Loss_D_real: -0.033142 Loss_D_fake -0.009714
[638/5000][200/535][65621] Loss_D: -0.023243 Loss_G: -0.005202 Loss_D_real: 0.010917 Loss_D_fake 0.034160
[638/5000][205/535][65622] Loss_D: -0.022755 Loss_G: 0.016597 Loss_D_real: -0.021543 Loss_D_fake 0.001212
[638/5000][210/535][65623] Loss_D: -0.023339 Loss_G: 0.006089 Loss_D_real: -0.005890 Loss_D_fake 0.017449
[638/5000][215/535][65624] Loss_D: -0.024706 Loss_G: 0.002003 Loss_D_real: -0.011200 Loss_D_fake 0.013505
[638/5000][220/535][65625] Loss_D: -0.024320 Loss_G: 0.022221 Loss_D_real: -0.020001 Loss_D_fake 0.004319
[638/5000][225/535][65626] Loss_D: -0.025308 Loss_G: 0.001781 Loss_D_real: -0.008511 Loss_D_fake 0.016797
[638/5000][230/535][65627] Loss_D: -0.025198 Loss_G: 0.020659 Loss_D_real: -0.016200 Loss_D_fake 0.008998
[638/5000][235/535][65628] Loss_D: -0.025577 Loss_G: 0.019859 Loss_D_real: -0.019813 Loss_D_fake 0.005764
[638/5000][240/535][65629] Loss_D: -0.025080 Loss_G: 0.020299 Loss_D_real: -0.012838 Loss_D_fake 0.012242
[638/5000][245/535][65630] Loss_D: -0.025596 Loss_G: 0.018575 Loss_D_real: -0.015306 Loss_D_fake 0.010290
[638/5000][250/535][65631] Loss_D: -0.024884 Loss_G: 0.009591 Loss_D_real: -0.008525 Loss_D_fake 0.016359
[638/5000][255/535][65632] Loss_D: -0.024932 Loss_G: 0.004635 Loss_D_real: -0.006347 Loss_D_fake 0.018585
[638/5000][260/535][65633] Loss_D: -0.024097 Loss_G: 0.023934 Loss_D_real: -0.027738 Loss_D_fake -0.003640
[638/5000][265/535][65634] Loss_D: -0.024522 Loss_G: -0.006110 Loss_D_real: -0.002687 Loss_D_fake 0.021835
[638/5000][270/535][65635] Loss_D: -0.024550 Loss_G: 0.031215 Loss_D_real: -0.026947 Loss_D_fake -0.002397
[638/5000][275/535][65636] Loss_D: -0.023650 Loss_G: 0.023384 Loss_D_real: -0.027982 Loss_D_fake -0.004332
[638/5000][280/535][65637] Loss_D: -0.024744 Loss_G: 0.012618 Loss_D_real: -0.010102 Loss_D_fake 0.014641
[638/5000][285/535][65638] Loss_D: -0.025317 Loss_G: 0.016482 Loss_D_real: -0.021870 Loss_D_fake 0.003447
[638/5000][290/535][65639] Loss_D: -0.023775 Loss_G: -0.005636 Loss_D_real: 0.010469 Loss_D_fake 0.034244
[638/5000][295/535][65640] Loss_D: -0.023547 Loss_G: 0.021219 Loss_D_real: -0.027620 Loss_D_fake -0.004072
[638/5000][300/535][65641] Loss_D: -0.024173 Loss_G: 0.022074 Loss_D_real: -0.016630 Loss_D_fake 0.007543
[638/5000][305/535][65642] Loss_D: -0.022810 Loss_G: 0.021706 Loss_D_real: -0.026853 Loss_D_fake -0.004043
[638/5000][310/535][65643] Loss_D: -0.024662 Loss_G: -0.001475 Loss_D_real: -0.003449 Loss_D_fake 0.021213
[638/5000][315/535][65644] Loss_D: -0.022633 Loss_G: 0.018712 Loss_D_real: -0.017393 Loss_D_fake 0.005240
[638/5000][320/535][65645] Loss_D: -0.025310 Loss_G: 0.012655 Loss_D_real: -0.025195 Loss_D_fake 0.000115
[638/5000][325/535][65646] Loss_D: -0.024354 Loss_G: 0.020097 Loss_D_real: -0.012646 Loss_D_fake 0.011709
[638/5000][330/535][65647] Loss_D: -0.025215 Loss_G: 0.029137 Loss_D_real: -0.020865 Loss_D_fake 0.004351
[638/5000][335/535][65648] Loss_D: -0.025020 Loss_G: 0.010341 Loss_D_real: -0.017601 Loss_D_fake 0.007419
[638/5000][340/535][65649] Loss_D: -0.023427 Loss_G: 0.034729 Loss_D_real: -0.027671 Loss_D_fake -0.004244
[638/5000][345/535][65650] Loss_D: -0.024641 Loss_G: 0.013328 Loss_D_real: -0.012813 Loss_D_fake 0.011829
[638/5000][350/535][65651] Loss_D: -0.024943 Loss_G: 0.010529 Loss_D_real: -0.011723 Loss_D_fake 0.013220
[638/5000][355/535][65652] Loss_D: -0.023667 Loss_G: 0.035496 Loss_D_real: -0.027548 Loss_D_fake -0.003880
[638/5000][360/535][65653] Loss_D: -0.024753 Loss_G: 0.002718 Loss_D_real: 0.000251 Loss_D_fake 0.025004
[638/5000][365/535][65654] Loss_D: -0.024400 Loss_G: 0.002710 Loss_D_real: -0.009190 Loss_D_fake 0.015209
[638/5000][370/535][65655] Loss_D: -0.024483 Loss_G: 0.009200 Loss_D_real: -0.031706 Loss_D_fake -0.007223
[638/5000][375/535][65656] Loss_D: -0.024488 Loss_G: 0.007340 Loss_D_real: -0.015919 Loss_D_fake 0.008569
[638/5000][380/535][65657] Loss_D: -0.024761 Loss_G: 0.020597 Loss_D_real: -0.029168 Loss_D_fake -0.004408
[638/5000][385/535][65658] Loss_D: -0.023512 Loss_G: 0.008110 Loss_D_real: -0.014694 Loss_D_fake 0.008819
[638/5000][390/535][65659] Loss_D: -0.023585 Loss_G: -0.006596 Loss_D_real: -0.016523 Loss_D_fake 0.007062
[638/5000][395/535][65660] Loss_D: -0.023834 Loss_G: 0.012133 Loss_D_real: -0.012434 Loss_D_fake 0.011400
[638/5000][400/535][65661] Loss_D: -0.024965 Loss_G: 0.007303 Loss_D_real: -0.011009 Loss_D_fake 0.013956
[638/5000][405/535][65662] Loss_D: -0.024878 Loss_G: 0.008679 Loss_D_real: -0.011219 Loss_D_fake 0.013659
[638/5000][410/535][65663] Loss_D: -0.024412 Loss_G: 0.015063 Loss_D_real: -0.014688 Loss_D_fake 0.009724
[638/5000][415/535][65664] Loss_D: -0.024255 Loss_G: 0.021405 Loss_D_real: -0.022241 Loss_D_fake 0.002014
[638/5000][420/535][65665] Loss_D: -0.024455 Loss_G: 0.030327 Loss_D_real: -0.031333 Loss_D_fake -0.006878
[638/5000][425/535][65666] Loss_D: -0.026243 Loss_G: 0.005298 Loss_D_real: -0.016350 Loss_D_fake 0.009893
[638/5000][430/535][65667] Loss_D: -0.025332 Loss_G: 0.014578 Loss_D_real: -0.028628 Loss_D_fake -0.003296
[638/5000][435/535][65668] Loss_D: -0.024427 Loss_G: 0.023704 Loss_D_real: -0.010127 Loss_D_fake 0.014300
[638/5000][440/535][65669] Loss_D: -0.025514 Loss_G: -0.006374 Loss_D_real: -0.011494 Loss_D_fake 0.014020
[638/5000][445/535][65670] Loss_D: -0.023367 Loss_G: -0.007282 Loss_D_real: -0.001937 Loss_D_fake 0.021429
[638/5000][450/535][65671] Loss_D: -0.024113 Loss_G: 0.026770 Loss_D_real: -0.026256 Loss_D_fake -0.002144
[638/5000][455/535][65672] Loss_D: -0.025161 Loss_G: 0.013334 Loss_D_real: -0.007586 Loss_D_fake 0.017574
[638/5000][460/535][65673] Loss_D: -0.022227 Loss_G: -0.012540 Loss_D_real: -0.000267 Loss_D_fake 0.021960
[638/5000][465/535][65674] Loss_D: -0.023024 Loss_G: 0.026180 Loss_D_real: -0.024231 Loss_D_fake -0.001207
[638/5000][470/535][65675] Loss_D: -0.024050 Loss_G: -0.000652 Loss_D_real: 0.003289 Loss_D_fake 0.027339
[638/5000][475/535][65676] Loss_D: -0.024655 Loss_G: 0.009504 Loss_D_real: -0.013677 Loss_D_fake 0.010977
[638/5000][480/535][65677] Loss_D: -0.024640 Loss_G: 0.007914 Loss_D_real: -0.010649 Loss_D_fake 0.013990
[638/5000][485/535][65678] Loss_D: -0.024337 Loss_G: 0.001758 Loss_D_real: 0.001011 Loss_D_fake 0.025348
[638/5000][490/535][65679] Loss_D: -0.023711 Loss_G: 0.022667 Loss_D_real: -0.023768 Loss_D_fake -0.000056
[638/5000][495/535][65680] Loss_D: -0.024616 Loss_G: 0.013258 Loss_D_real: -0.015473 Loss_D_fake 0.009143
[638/5000][500/535][65681] Loss_D: -0.025559 Loss_G: 0.018840 Loss_D_real: -0.023235 Loss_D_fake 0.002324
[638/5000][505/535][65682] Loss_D: -0.024775 Loss_G: 0.020319 Loss_D_real: -0.012623 Loss_D_fake 0.012152
[638/5000][510/535][65683] Loss_D: -0.023949 Loss_G: 0.015311 Loss_D_real: -0.022519 Loss_D_fake 0.001430
[638/5000][515/535][65684] Loss_D: -0.024559 Loss_G: 0.024563 Loss_D_real: -0.020973 Loss_D_fake 0.003586
[638/5000][520/535][65685] Loss_D: -0.025383 Loss_G: -0.001149 Loss_D_real: -0.004699 Loss_D_fake 0.020684
[638/5000][525/535][65686] Loss_D: -0.022737 Loss_G: 0.009691 Loss_D_real: -0.005707 Loss_D_fake 0.017031
[638/5000][530/535][65687] Loss_D: -0.024912 Loss_G: 0.013948 Loss_D_real: -0.020678 Loss_D_fake 0.004234
[638/5000][535/535][65688] Loss_D: -0.022953 Loss_G: -0.004883 Loss_D_real: -0.011217 Loss_D_fake 0.011736
[639/5000][5/535][65689] Loss_D: -0.024733 Loss_G: 0.014282 Loss_D_real: -0.020439 Loss_D_fake 0.004294
[639/5000][10/535][65690] Loss_D: -0.023008 Loss_G: 0.034520 Loss_D_real: -0.032819 Loss_D_fake -0.009811
[639/5000][15/535][65691] Loss_D: -0.022925 Loss_G: 0.015686 Loss_D_real: -0.027030 Loss_D_fake -0.004105
[639/5000][20/535][65692] Loss_D: -0.024721 Loss_G: 0.004816 Loss_D_real: -0.015263 Loss_D_fake 0.009458
[639/5000][25/535][65693] Loss_D: -0.024396 Loss_G: -0.000567 Loss_D_real: -0.004222 Loss_D_fake 0.020174
[639/5000][30/535][65694] Loss_D: -0.022919 Loss_G: 0.030689 Loss_D_real: -0.034588 Loss_D_fake -0.011668
[639/5000][35/535][65695] Loss_D: -0.023543 Loss_G: 0.026994 Loss_D_real: -0.022024 Loss_D_fake 0.001519
[639/5000][40/535][65696] Loss_D: -0.023839 Loss_G: 0.002599 Loss_D_real: -0.014017 Loss_D_fake 0.009822
[639/5000][45/535][65697] Loss_D: -0.023589 Loss_G: 0.002850 Loss_D_real: 0.001751 Loss_D_fake 0.025341
[639/5000][50/535][65698] Loss_D: -0.023969 Loss_G: 0.012891 Loss_D_real: -0.020347 Loss_D_fake 0.003623
[639/5000][55/535][65699] Loss_D: -0.024485 Loss_G: 0.005111 Loss_D_real: -0.004027 Loss_D_fake 0.020457
[639/5000][60/535][65700] Loss_D: -0.022776 Loss_G: 0.011814 Loss_D_real: -0.023559 Loss_D_fake -0.000783
[639/5000][65/535][65701] Loss_D: -0.024170 Loss_G: 0.032518 Loss_D_real: -0.025543 Loss_D_fake -0.001373
[639/5000][70/535][65702] Loss_D: -0.025252 Loss_G: 0.011065 Loss_D_real: -0.009483 Loss_D_fake 0.015768
[639/5000][75/535][65703] Loss_D: -0.024507 Loss_G: 0.008518 Loss_D_real: -0.011310 Loss_D_fake 0.013197
[639/5000][80/535][65704] Loss_D: -0.024175 Loss_G: 0.006874 Loss_D_real: -0.006392 Loss_D_fake 0.017783
[639/5000][85/535][65705] Loss_D: -0.024395 Loss_G: 0.009194 Loss_D_real: -0.012405 Loss_D_fake 0.011991
[639/5000][90/535][65706] Loss_D: -0.024023 Loss_G: 0.006230 Loss_D_real: -0.015474 Loss_D_fake 0.008549
[639/5000][95/535][65707] Loss_D: -0.023817 Loss_G: 0.022274 Loss_D_real: -0.026023 Loss_D_fake -0.002207
[639/5000][100/535][65708] Loss_D: -0.024471 Loss_G: 0.006878 Loss_D_real: -0.012672 Loss_D_fake 0.011798
[639/5000][105/535][65709] Loss_D: -0.025011 Loss_G: 0.014367 Loss_D_real: -0.012671 Loss_D_fake 0.012340
[639/5000][110/535][65710] Loss_D: -0.022779 Loss_G: -0.002292 Loss_D_real: -0.001266 Loss_D_fake 0.021513
[639/5000][115/535][65711] Loss_D: -0.023558 Loss_G: 0.021653 Loss_D_real: -0.021480 Loss_D_fake 0.002077
[639/5000][120/535][65712] Loss_D: -0.024737 Loss_G: 0.013054 Loss_D_real: -0.009424 Loss_D_fake 0.015313
[639/5000][125/535][65713] Loss_D: -0.024495 Loss_G: 0.022412 Loss_D_real: -0.017205 Loss_D_fake 0.007290
[639/5000][130/535][65714] Loss_D: -0.023684 Loss_G: 0.014309 Loss_D_real: -0.008523 Loss_D_fake 0.015161
[639/5000][135/535][65715] Loss_D: -0.023640 Loss_G: 0.030898 Loss_D_real: -0.026052 Loss_D_fake -0.002412
[639/5000][140/535][65716] Loss_D: -0.024635 Loss_G: 0.007705 Loss_D_real: -0.006163 Loss_D_fake 0.018472
[639/5000][145/535][65717] Loss_D: -0.024314 Loss_G: 0.007778 Loss_D_real: -0.016758 Loss_D_fake 0.007557
[639/5000][150/535][65718] Loss_D: -0.024229 Loss_G: 0.007979 Loss_D_real: -0.020072 Loss_D_fake 0.004157
[639/5000][155/535][65719] Loss_D: -0.024629 Loss_G: 0.030643 Loss_D_real: -0.020114 Loss_D_fake 0.004515
[639/5000][160/535][65720] Loss_D: -0.025439 Loss_G: 0.024120 Loss_D_real: -0.019516 Loss_D_fake 0.005923
[639/5000][165/535][65721] Loss_D: -0.024343 Loss_G: 0.020791 Loss_D_real: -0.019353 Loss_D_fake 0.004990
[639/5000][170/535][65722] Loss_D: -0.023694 Loss_G: 0.015306 Loss_D_real: -0.014443 Loss_D_fake 0.009251
[639/5000][175/535][65723] Loss_D: -0.023761 Loss_G: -0.022521 Loss_D_real: 0.006785 Loss_D_fake 0.030545
[639/5000][180/535][65724] Loss_D: -0.023463 Loss_G: 0.016148 Loss_D_real: -0.018107 Loss_D_fake 0.005356
[639/5000][185/535][65725] Loss_D: -0.024566 Loss_G: 0.021606 Loss_D_real: -0.014176 Loss_D_fake 0.010390
[639/5000][190/535][65726] Loss_D: -0.024152 Loss_G: 0.021591 Loss_D_real: -0.021633 Loss_D_fake 0.002519
[639/5000][195/535][65727] Loss_D: -0.024579 Loss_G: 0.005906 Loss_D_real: -0.002011 Loss_D_fake 0.022568
[639/5000][200/535][65728] Loss_D: -0.024051 Loss_G: -0.002012 Loss_D_real: -0.002573 Loss_D_fake 0.021479
[639/5000][205/535][65729] Loss_D: -0.023968 Loss_G: 0.027708 Loss_D_real: -0.021456 Loss_D_fake 0.002512
[639/5000][210/535][65730] Loss_D: -0.024286 Loss_G: 0.000877 Loss_D_real: -0.004146 Loss_D_fake 0.020139
[639/5000][215/535][65731] Loss_D: -0.025287 Loss_G: 0.012685 Loss_D_real: -0.016784 Loss_D_fake 0.008503
[639/5000][220/535][65732] Loss_D: -0.024338 Loss_G: 0.021716 Loss_D_real: -0.024911 Loss_D_fake -0.000573
[639/5000][225/535][65733] Loss_D: -0.024919 Loss_G: 0.023123 Loss_D_real: -0.024539 Loss_D_fake 0.000380
[639/5000][230/535][65734] Loss_D: -0.025483 Loss_G: 0.018515 Loss_D_real: -0.017194 Loss_D_fake 0.008289
[639/5000][235/535][65735] Loss_D: -0.022933 Loss_G: 0.034913 Loss_D_real: -0.037109 Loss_D_fake -0.014175
[639/5000][240/535][65736] Loss_D: -0.023819 Loss_G: 0.002364 Loss_D_real: -0.014880 Loss_D_fake 0.008939
[639/5000][245/535][65737] Loss_D: -0.024601 Loss_G: 0.015288 Loss_D_real: -0.018441 Loss_D_fake 0.006160
[639/5000][250/535][65738] Loss_D: -0.023652 Loss_G: 0.027802 Loss_D_real: -0.033716 Loss_D_fake -0.010064
[639/5000][255/535][65739] Loss_D: -0.025880 Loss_G: 0.007194 Loss_D_real: -0.003841 Loss_D_fake 0.022039
[639/5000][260/535][65740] Loss_D: -0.024693 Loss_G: 0.008298 Loss_D_real: -0.009128 Loss_D_fake 0.015565
[639/5000][265/535][65741] Loss_D: -0.024266 Loss_G: 0.019563 Loss_D_real: -0.023323 Loss_D_fake 0.000944
[639/5000][270/535][65742] Loss_D: -0.024967 Loss_G: 0.023808 Loss_D_real: -0.021612 Loss_D_fake 0.003354
[639/5000][275/535][65743] Loss_D: -0.023437 Loss_G: -0.000516 Loss_D_real: -0.000100 Loss_D_fake 0.023337
[639/5000][280/535][65744] Loss_D: -0.025019 Loss_G: 0.018119 Loss_D_real: -0.018868 Loss_D_fake 0.006151
[639/5000][285/535][65745] Loss_D: -0.025520 Loss_G: 0.006097 Loss_D_real: -0.007078 Loss_D_fake 0.018442
[639/5000][290/535][65746] Loss_D: -0.024969 Loss_G: 0.012422 Loss_D_real: -0.019660 Loss_D_fake 0.005309
[639/5000][295/535][65747] Loss_D: -0.024031 Loss_G: 0.032523 Loss_D_real: -0.034114 Loss_D_fake -0.010082
[639/5000][300/535][65748] Loss_D: -0.024115 Loss_G: 0.019821 Loss_D_real: -0.036702 Loss_D_fake -0.012588
[639/5000][305/535][65749] Loss_D: -0.024797 Loss_G: 0.028811 Loss_D_real: -0.028404 Loss_D_fake -0.003607
[639/5000][310/535][65750] Loss_D: -0.024584 Loss_G: 0.012933 Loss_D_real: -0.018774 Loss_D_fake 0.005810
[639/5000][315/535][65751] Loss_D: -0.023423 Loss_G: 0.006227 Loss_D_real: -0.010084 Loss_D_fake 0.013339
[639/5000][320/535][65752] Loss_D: -0.024593 Loss_G: 0.015469 Loss_D_real: -0.021580 Loss_D_fake 0.003014
[639/5000][325/535][65753] Loss_D: -0.023865 Loss_G: 0.034415 Loss_D_real: -0.031370 Loss_D_fake -0.007505
[639/5000][330/535][65754] Loss_D: -0.023546 Loss_G: 0.008972 Loss_D_real: -0.013881 Loss_D_fake 0.009665
[639/5000][335/535][65755] Loss_D: -0.023886 Loss_G: 0.024033 Loss_D_real: -0.011909 Loss_D_fake 0.011976
[639/5000][340/535][65756] Loss_D: -0.023244 Loss_G: -0.011922 Loss_D_real: -0.002738 Loss_D_fake 0.020506
[639/5000][345/535][65757] Loss_D: -0.023738 Loss_G: 0.007161 Loss_D_real: -0.012958 Loss_D_fake 0.010780
[639/5000][350/535][65758] Loss_D: -0.024336 Loss_G: 0.021596 Loss_D_real: -0.013509 Loss_D_fake 0.010828
[639/5000][355/535][65759] Loss_D: -0.022913 Loss_G: 0.016290 Loss_D_real: -0.021528 Loss_D_fake 0.001386
[639/5000][360/535][65760] Loss_D: -0.023117 Loss_G: -0.009297 Loss_D_real: 0.010320 Loss_D_fake 0.033437
[639/5000][365/535][65761] Loss_D: -0.022292 Loss_G: 0.009698 Loss_D_real: -0.020472 Loss_D_fake 0.001820
[639/5000][370/535][65762] Loss_D: -0.025124 Loss_G: 0.004152 Loss_D_real: -0.011352 Loss_D_fake 0.013772
[639/5000][375/535][65763] Loss_D: -0.024939 Loss_G: 0.007813 Loss_D_real: -0.017763 Loss_D_fake 0.007176
[639/5000][380/535][65764] Loss_D: -0.022989 Loss_G: 0.039581 Loss_D_real: -0.038795 Loss_D_fake -0.015806
[639/5000][385/535][65765] Loss_D: -0.024789 Loss_G: 0.013321 Loss_D_real: -0.016824 Loss_D_fake 0.007965
[639/5000][390/535][65766] Loss_D: -0.024792 Loss_G: 0.002058 Loss_D_real: -0.005023 Loss_D_fake 0.019769
[639/5000][395/535][65767] Loss_D: -0.023869 Loss_G: 0.026321 Loss_D_real: -0.023893 Loss_D_fake -0.000024
[639/5000][400/535][65768] Loss_D: -0.023960 Loss_G: 0.011254 Loss_D_real: -0.012513 Loss_D_fake 0.011447
[639/5000][405/535][65769] Loss_D: -0.024295 Loss_G: 0.006232 Loss_D_real: -0.005868 Loss_D_fake 0.018427
[639/5000][410/535][65770] Loss_D: -0.022653 Loss_G: 0.020074 Loss_D_real: -0.012362 Loss_D_fake 0.010291
[639/5000][415/535][65771] Loss_D: -0.023732 Loss_G: 0.002046 Loss_D_real: -0.005594 Loss_D_fake 0.018138
[639/5000][420/535][65772] Loss_D: -0.023189 Loss_G: 0.027080 Loss_D_real: -0.025045 Loss_D_fake -0.001856
[639/5000][425/535][65773] Loss_D: -0.023612 Loss_G: 0.014141 Loss_D_real: -0.012647 Loss_D_fake 0.010965
[639/5000][430/535][65774] Loss_D: -0.024778 Loss_G: 0.025731 Loss_D_real: -0.024371 Loss_D_fake 0.000407
[639/5000][435/535][65775] Loss_D: -0.024891 Loss_G: 0.020571 Loss_D_real: -0.023104 Loss_D_fake 0.001787
[639/5000][440/535][65776] Loss_D: -0.023893 Loss_G: 0.021626 Loss_D_real: -0.019905 Loss_D_fake 0.003988
[639/5000][445/535][65777] Loss_D: -0.024845 Loss_G: 0.002713 Loss_D_real: -0.007360 Loss_D_fake 0.017485
[639/5000][450/535][65778] Loss_D: -0.023693 Loss_G: 0.008730 Loss_D_real: -0.009012 Loss_D_fake 0.014680
[639/5000][455/535][65779] Loss_D: -0.025201 Loss_G: 0.020874 Loss_D_real: -0.017739 Loss_D_fake 0.007462
[639/5000][460/535][65780] Loss_D: -0.024488 Loss_G: 0.034961 Loss_D_real: -0.020788 Loss_D_fake 0.003700
[639/5000][465/535][65781] Loss_D: -0.023924 Loss_G: 0.031924 Loss_D_real: -0.033924 Loss_D_fake -0.010000
[639/5000][470/535][65782] Loss_D: -0.024239 Loss_G: 0.029147 Loss_D_real: -0.018467 Loss_D_fake 0.005772
[639/5000][475/535][65783] Loss_D: -0.024088 Loss_G: 0.018645 Loss_D_real: -0.024104 Loss_D_fake -0.000015
[639/5000][480/535][65784] Loss_D: -0.024980 Loss_G: 0.008106 Loss_D_real: -0.018143 Loss_D_fake 0.006836
[639/5000][485/535][65785] Loss_D: -0.023962 Loss_G: 0.020359 Loss_D_real: -0.018163 Loss_D_fake 0.005799
[639/5000][490/535][65786] Loss_D: -0.025605 Loss_G: 0.014124 Loss_D_real: -0.016899 Loss_D_fake 0.008706
[639/5000][495/535][65787] Loss_D: -0.025049 Loss_G: 0.008954 Loss_D_real: -0.015875 Loss_D_fake 0.009174
[639/5000][500/535][65788] Loss_D: -0.024540 Loss_G: 0.038524 Loss_D_real: -0.026519 Loss_D_fake -0.001979
[639/5000][505/535][65789] Loss_D: -0.024785 Loss_G: 0.022244 Loss_D_real: -0.024292 Loss_D_fake 0.000493
[639/5000][510/535][65790] Loss_D: -0.024881 Loss_G: 0.001484 Loss_D_real: -0.008478 Loss_D_fake 0.016403
[639/5000][515/535][65791] Loss_D: -0.025522 Loss_G: 0.009422 Loss_D_real: -0.001518 Loss_D_fake 0.024004
[639/5000][520/535][65792] Loss_D: -0.023529 Loss_G: 0.020257 Loss_D_real: -0.017164 Loss_D_fake 0.006365
[639/5000][525/535][65793] Loss_D: -0.024014 Loss_G: 0.010975 Loss_D_real: -0.012344 Loss_D_fake 0.011670
[639/5000][530/535][65794] Loss_D: -0.025058 Loss_G: 0.010693 Loss_D_real: -0.009401 Loss_D_fake 0.015657
[639/5000][535/535][65795] Loss_D: -0.024122 Loss_G: 0.027604 Loss_D_real: -0.041384 Loss_D_fake -0.017262
[640/5000][5/535][65796] Loss_D: -0.025473 Loss_G: 0.008917 Loss_D_real: -0.007699 Loss_D_fake 0.017775
[640/5000][10/535][65797] Loss_D: -0.024250 Loss_G: 0.027043 Loss_D_real: -0.020253 Loss_D_fake 0.003997
[640/5000][15/535][65798] Loss_D: -0.024325 Loss_G: 0.007029 Loss_D_real: -0.007842 Loss_D_fake 0.016482
[640/5000][20/535][65799] Loss_D: -0.023783 Loss_G: 0.016573 Loss_D_real: -0.020585 Loss_D_fake 0.003198
[640/5000][25/535][65800] Loss_D: -0.024309 Loss_G: 0.013402 Loss_D_real: -0.013266 Loss_D_fake 0.011043
[640/5000][30/535][65801] Loss_D: -0.024980 Loss_G: 0.012478 Loss_D_real: -0.016654 Loss_D_fake 0.008326
[640/5000][35/535][65802] Loss_D: -0.023851 Loss_G: -0.004420 Loss_D_real: 0.001991 Loss_D_fake 0.025843
[640/5000][40/535][65803] Loss_D: -0.023348 Loss_G: 0.018027 Loss_D_real: -0.023039 Loss_D_fake 0.000308
[640/5000][45/535][65804] Loss_D: -0.024609 Loss_G: 0.016903 Loss_D_real: -0.014377 Loss_D_fake 0.010233
[640/5000][50/535][65805] Loss_D: -0.023655 Loss_G: 0.010084 Loss_D_real: -0.006415 Loss_D_fake 0.017241
[640/5000][55/535][65806] Loss_D: -0.022019 Loss_G: 0.022191 Loss_D_real: -0.028690 Loss_D_fake -0.006671
[640/5000][60/535][65807] Loss_D: -0.024245 Loss_G: 0.007267 Loss_D_real: -0.009279 Loss_D_fake 0.014966
[640/5000][65/535][65808] Loss_D: -0.023733 Loss_G: 0.008236 Loss_D_real: -0.007710 Loss_D_fake 0.016023
[640/5000][70/535][65809] Loss_D: -0.023135 Loss_G: -0.007285 Loss_D_real: -0.003874 Loss_D_fake 0.019261
[640/5000][75/535][65810] Loss_D: -0.020782 Loss_G: 0.034857 Loss_D_real: -0.021592 Loss_D_fake -0.000811
[640/5000][80/535][65811] Loss_D: -0.024404 Loss_G: 0.013829 Loss_D_real: -0.007204 Loss_D_fake 0.017200
[640/5000][85/535][65812] Loss_D: -0.023032 Loss_G: 0.014317 Loss_D_real: -0.021562 Loss_D_fake 0.001469
[640/5000][90/535][65813] Loss_D: -0.023875 Loss_G: 0.009504 Loss_D_real: -0.012358 Loss_D_fake 0.011518
[640/5000][95/535][65814] Loss_D: -0.024445 Loss_G: 0.012115 Loss_D_real: -0.000539 Loss_D_fake 0.023905
[640/5000][100/535][65815] Loss_D: -0.021292 Loss_G: 0.032415 Loss_D_real: -0.029778 Loss_D_fake -0.008486
[640/5000][105/535][65816] Loss_D: -0.022805 Loss_G: -0.014585 Loss_D_real: 0.006554 Loss_D_fake 0.029359
[640/5000][110/535][65817] Loss_D: -0.023362 Loss_G: 0.008624 Loss_D_real: -0.005422 Loss_D_fake 0.017940
[640/5000][115/535][65818] Loss_D: -0.023584 Loss_G: 0.011305 Loss_D_real: -0.014942 Loss_D_fake 0.008642
[640/5000][120/535][65819] Loss_D: -0.024872 Loss_G: 0.024119 Loss_D_real: -0.012790 Loss_D_fake 0.012082
[640/5000][125/535][65820] Loss_D: -0.024802 Loss_G: 0.009630 Loss_D_real: -0.015336 Loss_D_fake 0.009466
[640/5000][130/535][65821] Loss_D: -0.023673 Loss_G: 0.020197 Loss_D_real: -0.022940 Loss_D_fake 0.000733
[640/5000][135/535][65822] Loss_D: -0.024645 Loss_G: 0.024530 Loss_D_real: -0.024476 Loss_D_fake 0.000169
[640/5000][140/535][65823] Loss_D: -0.024433 Loss_G: 0.006988 Loss_D_real: -0.022653 Loss_D_fake 0.001781
[640/5000][145/535][65824] Loss_D: -0.025225 Loss_G: 0.033976 Loss_D_real: -0.027198 Loss_D_fake -0.001973
[640/5000][150/535][65825] Loss_D: -0.023868 Loss_G: 0.036052 Loss_D_real: -0.023383 Loss_D_fake 0.000484
[640/5000][155/535][65826] Loss_D: -0.025047 Loss_G: -0.004992 Loss_D_real: -0.009977 Loss_D_fake 0.015070
[640/5000][160/535][65827] Loss_D: -0.023997 Loss_G: 0.002743 Loss_D_real: -0.010084 Loss_D_fake 0.013914
[640/5000][165/535][65828] Loss_D: -0.024072 Loss_G: 0.010512 Loss_D_real: -0.014242 Loss_D_fake 0.009830
[640/5000][170/535][65829] Loss_D: -0.025143 Loss_G: 0.029693 Loss_D_real: -0.028325 Loss_D_fake -0.003182
[640/5000][175/535][65830] Loss_D: -0.024648 Loss_G: 0.025176 Loss_D_real: -0.027116 Loss_D_fake -0.002468
[640/5000][180/535][65831] Loss_D: -0.024643 Loss_G: -0.013116 Loss_D_real: -0.000251 Loss_D_fake 0.024392
[640/5000][185/535][65832] Loss_D: -0.023563 Loss_G: 0.010791 Loss_D_real: -0.014520 Loss_D_fake 0.009043
[640/5000][190/535][65833] Loss_D: -0.025646 Loss_G: 0.011926 Loss_D_real: -0.016180 Loss_D_fake 0.009466
[640/5000][195/535][65834] Loss_D: -0.023523 Loss_G: 0.021115 Loss_D_real: -0.025915 Loss_D_fake -0.002392
[640/5000][200/535][65835] Loss_D: -0.023952 Loss_G: 0.000601 Loss_D_real: -0.006245 Loss_D_fake 0.017708
[640/5000][205/535][65836] Loss_D: -0.023864 Loss_G: 0.011213 Loss_D_real: -0.011576 Loss_D_fake 0.012288
[640/5000][210/535][65837] Loss_D: -0.023855 Loss_G: 0.015375 Loss_D_real: -0.017133 Loss_D_fake 0.006722
[640/5000][215/535][65838] Loss_D: -0.024297 Loss_G: 0.004643 Loss_D_real: -0.003166 Loss_D_fake 0.021130
[640/5000][220/535][65839] Loss_D: -0.024244 Loss_G: 0.016709 Loss_D_real: -0.019301 Loss_D_fake 0.004944
[640/5000][225/535][65840] Loss_D: -0.025299 Loss_G: 0.008777 Loss_D_real: -0.008797 Loss_D_fake 0.016503
[640/5000][230/535][65841] Loss_D: -0.023251 Loss_G: -0.006462 Loss_D_real: -0.004913 Loss_D_fake 0.018338
[640/5000][235/535][65842] Loss_D: -0.024525 Loss_G: 0.008123 Loss_D_real: -0.011771 Loss_D_fake 0.012754
[640/5000][240/535][65843] Loss_D: -0.024155 Loss_G: 0.033577 Loss_D_real: -0.025868 Loss_D_fake -0.001713
[640/5000][245/535][65844] Loss_D: -0.026107 Loss_G: 0.011408 Loss_D_real: -0.017819 Loss_D_fake 0.008288
[640/5000][250/535][65845] Loss_D: -0.025907 Loss_G: 0.025651 Loss_D_real: -0.020154 Loss_D_fake 0.005753
[640/5000][255/535][65846] Loss_D: -0.026315 Loss_G: 0.004135 Loss_D_real: -0.003355 Loss_D_fake 0.022961
[640/5000][260/535][65847] Loss_D: -0.024706 Loss_G: 0.024270 Loss_D_real: -0.016896 Loss_D_fake 0.007810
[640/5000][265/535][65848] Loss_D: -0.023294 Loss_G: -0.010802 Loss_D_real: 0.010556 Loss_D_fake 0.033850
[640/5000][270/535][65849] Loss_D: -0.024538 Loss_G: 0.028366 Loss_D_real: -0.028666 Loss_D_fake -0.004128
[640/5000][275/535][65850] Loss_D: -0.025425 Loss_G: 0.012584 Loss_D_real: -0.014149 Loss_D_fake 0.011276
[640/5000][280/535][65851] Loss_D: -0.024805 Loss_G: 0.010115 Loss_D_real: -0.021543 Loss_D_fake 0.003262
[640/5000][285/535][65852] Loss_D: -0.023813 Loss_G: 0.027418 Loss_D_real: -0.032371 Loss_D_fake -0.008558
[640/5000][290/535][65853] Loss_D: -0.026024 Loss_G: 0.018243 Loss_D_real: -0.020621 Loss_D_fake 0.005403
[640/5000][295/535][65854] Loss_D: -0.023202 Loss_G: 0.029145 Loss_D_real: -0.023243 Loss_D_fake -0.000041
[640/5000][300/535][65855] Loss_D: -0.023639 Loss_G: 0.005221 Loss_D_real: -0.011134 Loss_D_fake 0.012505
[640/5000][305/535][65856] Loss_D: -0.025124 Loss_G: 0.031809 Loss_D_real: -0.031286 Loss_D_fake -0.006162
[640/5000][310/535][65857] Loss_D: -0.023591 Loss_G: -0.007958 Loss_D_real: 0.003856 Loss_D_fake 0.027447
[640/5000][315/535][65858] Loss_D: -0.023126 Loss_G: 0.024468 Loss_D_real: -0.013903 Loss_D_fake 0.009223
[640/5000][320/535][65859] Loss_D: -0.023278 Loss_G: 0.000278 Loss_D_real: 0.000065 Loss_D_fake 0.023343
[640/5000][325/535][65860] Loss_D: -0.022872 Loss_G: 0.007413 Loss_D_real: -0.007328 Loss_D_fake 0.015544
[640/5000][330/535][65861] Loss_D: -0.023023 Loss_G: 0.023837 Loss_D_real: -0.023590 Loss_D_fake -0.000566
[640/5000][335/535][65862] Loss_D: -0.023866 Loss_G: 0.002492 Loss_D_real: -0.002888 Loss_D_fake 0.020978
[640/5000][340/535][65863] Loss_D: -0.023880 Loss_G: -0.006852 Loss_D_real: -0.014218 Loss_D_fake 0.009662
[640/5000][345/535][65864] Loss_D: -0.023945 Loss_G: 0.026388 Loss_D_real: -0.018521 Loss_D_fake 0.005424
[640/5000][350/535][65865] Loss_D: -0.024013 Loss_G: 0.005967 Loss_D_real: -0.015792 Loss_D_fake 0.008221
[640/5000][355/535][65866] Loss_D: -0.024020 Loss_G: 0.010002 Loss_D_real: 0.007224 Loss_D_fake 0.031245
[640/5000][360/535][65867] Loss_D: -0.023185 Loss_G: 0.016627 Loss_D_real: -0.033037 Loss_D_fake -0.009852
[640/5000][365/535][65868] Loss_D: -0.024761 Loss_G: 0.019605 Loss_D_real: -0.019390 Loss_D_fake 0.005370
[640/5000][370/535][65869] Loss_D: -0.023524 Loss_G: -0.007277 Loss_D_real: 0.006635 Loss_D_fake 0.030160
[640/5000][375/535][65870] Loss_D: -0.024446 Loss_G: 0.019752 Loss_D_real: -0.015909 Loss_D_fake 0.008536
[640/5000][380/535][65871] Loss_D: -0.024967 Loss_G: 0.017735 Loss_D_real: -0.025715 Loss_D_fake -0.000748
[640/5000][385/535][65872] Loss_D: -0.025632 Loss_G: 0.010248 Loss_D_real: -0.019231 Loss_D_fake 0.006401
[640/5000][390/535][65873] Loss_D: -0.024698 Loss_G: 0.013490 Loss_D_real: -0.012810 Loss_D_fake 0.011887
[640/5000][395/535][65874] Loss_D: -0.024626 Loss_G: 0.019001 Loss_D_real: -0.018047 Loss_D_fake 0.006580
[640/5000][400/535][65875] Loss_D: -0.024545 Loss_G: 0.010751 Loss_D_real: -0.014411 Loss_D_fake 0.010134
[640/5000][405/535][65876] Loss_D: -0.024374 Loss_G: 0.017450 Loss_D_real: -0.022283 Loss_D_fake 0.002091
[640/5000][410/535][65877] Loss_D: -0.024495 Loss_G: 0.011351 Loss_D_real: -0.017778 Loss_D_fake 0.006718
[640/5000][415/535][65878] Loss_D: -0.025322 Loss_G: 0.027074 Loss_D_real: -0.020578 Loss_D_fake 0.004744
[640/5000][420/535][65879] Loss_D: -0.024896 Loss_G: 0.027322 Loss_D_real: -0.030746 Loss_D_fake -0.005850
[640/5000][425/535][65880] Loss_D: -0.024372 Loss_G: -0.003323 Loss_D_real: -0.000702 Loss_D_fake 0.023670
[640/5000][430/535][65881] Loss_D: -0.023456 Loss_G: 0.010526 Loss_D_real: -0.012484 Loss_D_fake 0.010972
[640/5000][435/535][65882] Loss_D: -0.024799 Loss_G: 0.004423 Loss_D_real: -0.001016 Loss_D_fake 0.023783
[640/5000][440/535][65883] Loss_D: -0.023779 Loss_G: 0.009819 Loss_D_real: -0.010024 Loss_D_fake 0.013756
[640/5000][445/535][65884] Loss_D: -0.026053 Loss_G: 0.014615 Loss_D_real: -0.012633 Loss_D_fake 0.013420
[640/5000][450/535][65885] Loss_D: -0.024304 Loss_G: 0.015293 Loss_D_real: -0.011079 Loss_D_fake 0.013224
[640/5000][455/535][65886] Loss_D: -0.023445 Loss_G: 0.010196 Loss_D_real: -0.005386 Loss_D_fake 0.018058
[640/5000][460/535][65887] Loss_D: -0.024740 Loss_G: 0.032380 Loss_D_real: -0.026405 Loss_D_fake -0.001665
[640/5000][465/535][65888] Loss_D: -0.025309 Loss_G: -0.005537 Loss_D_real: -0.005068 Loss_D_fake 0.020241
[640/5000][470/535][65889] Loss_D: -0.023633 Loss_G: 0.027174 Loss_D_real: -0.027362 Loss_D_fake -0.003729
[640/5000][475/535][65890] Loss_D: -0.024561 Loss_G: 0.010244 Loss_D_real: -0.012437 Loss_D_fake 0.012125
[640/5000][480/535][65891] Loss_D: -0.024173 Loss_G: 0.015030 Loss_D_real: -0.026869 Loss_D_fake -0.002696
[640/5000][485/535][65892] Loss_D: -0.023021 Loss_G: 0.030428 Loss_D_real: -0.031160 Loss_D_fake -0.008139
[640/5000][490/535][65893] Loss_D: -0.023913 Loss_G: 0.004717 Loss_D_real: -0.004570 Loss_D_fake 0.019344
[640/5000][495/535][65894] Loss_D: -0.023010 Loss_G: 0.014158 Loss_D_real: -0.012798 Loss_D_fake 0.010212
[640/5000][500/535][65895] Loss_D: -0.025300 Loss_G: 0.016339 Loss_D_real: -0.015208 Loss_D_fake 0.010092
[640/5000][505/535][65896] Loss_D: -0.023679 Loss_G: 0.024578 Loss_D_real: -0.023668 Loss_D_fake 0.000011
[640/5000][510/535][65897] Loss_D: -0.025503 Loss_G: 0.018771 Loss_D_real: -0.015878 Loss_D_fake 0.009625
[640/5000][515/535][65898] Loss_D: -0.024087 Loss_G: 0.019129 Loss_D_real: -0.015370 Loss_D_fake 0.008717
[640/5000][520/535][65899] Loss_D: -0.025303 Loss_G: 0.020866 Loss_D_real: -0.024601 Loss_D_fake 0.000702
[640/5000][525/535][65900] Loss_D: -0.026174 Loss_G: -0.000351 Loss_D_real: -0.006541 Loss_D_fake 0.019633
[640/5000][530/535][65901] Loss_D: -0.024394 Loss_G: 0.015850 Loss_D_real: -0.021671 Loss_D_fake 0.002723
[640/5000][535/535][65902] Loss_D: -0.023040 Loss_G: 0.032207 Loss_D_real: -0.005124 Loss_D_fake 0.017916
[641/5000][5/535][65903] Loss_D: -0.025101 Loss_G: 0.002387 Loss_D_real: -0.011311 Loss_D_fake 0.013790
[641/5000][10/535][65904] Loss_D: -0.023998 Loss_G: 0.013489 Loss_D_real: -0.015097 Loss_D_fake 0.008902
[641/5000][15/535][65905] Loss_D: -0.024778 Loss_G: 0.004754 Loss_D_real: -0.021845 Loss_D_fake 0.002933
[641/5000][20/535][65906] Loss_D: -0.023807 Loss_G: 0.025036 Loss_D_real: -0.022261 Loss_D_fake 0.001546
[641/5000][25/535][65907] Loss_D: -0.024278 Loss_G: 0.009414 Loss_D_real: -0.003721 Loss_D_fake 0.020557
[641/5000][30/535][65908] Loss_D: -0.023515 Loss_G: 0.020755 Loss_D_real: -0.035078 Loss_D_fake -0.011563
[641/5000][35/535][65909] Loss_D: -0.025499 Loss_G: 0.031107 Loss_D_real: -0.025439 Loss_D_fake 0.000060
[641/5000][40/535][65910] Loss_D: -0.023843 Loss_G: 0.022127 Loss_D_real: -0.014195 Loss_D_fake 0.009648
[641/5000][45/535][65911] Loss_D: -0.023706 Loss_G: 0.019591 Loss_D_real: -0.025644 Loss_D_fake -0.001938
[641/5000][50/535][65912] Loss_D: -0.025802 Loss_G: 0.004802 Loss_D_real: -0.011973 Loss_D_fake 0.013830
[641/5000][55/535][65913] Loss_D: -0.024003 Loss_G: 0.007654 Loss_D_real: -0.000208 Loss_D_fake 0.023795
[641/5000][60/535][65914] Loss_D: -0.024831 Loss_G: 0.012414 Loss_D_real: -0.016544 Loss_D_fake 0.008287
[641/5000][65/535][65915] Loss_D: -0.022552 Loss_G: 0.031858 Loss_D_real: -0.033799 Loss_D_fake -0.011248
[641/5000][70/535][65916] Loss_D: -0.025060 Loss_G: 0.013886 Loss_D_real: -0.011332 Loss_D_fake 0.013729
[641/5000][75/535][65917] Loss_D: -0.024371 Loss_G: 0.017122 Loss_D_real: -0.019866 Loss_D_fake 0.004506
[641/5000][80/535][65918] Loss_D: -0.024949 Loss_G: 0.027794 Loss_D_real: -0.018112 Loss_D_fake 0.006837
[641/5000][85/535][65919] Loss_D: -0.024724 Loss_G: 0.002573 Loss_D_real: -0.001709 Loss_D_fake 0.023015
[641/5000][90/535][65920] Loss_D: -0.025668 Loss_G: 0.014999 Loss_D_real: -0.017941 Loss_D_fake 0.007727
[641/5000][95/535][65921] Loss_D: -0.024198 Loss_G: -0.000930 Loss_D_real: -0.004733 Loss_D_fake 0.019465
[641/5000][100/535][65922] Loss_D: -0.023963 Loss_G: 0.018395 Loss_D_real: -0.017311 Loss_D_fake 0.006652
[641/5000][105/535][65923] Loss_D: -0.023786 Loss_G: 0.031908 Loss_D_real: -0.030233 Loss_D_fake -0.006447
[641/5000][110/535][65924] Loss_D: -0.022992 Loss_G: 0.001603 Loss_D_real: 0.004773 Loss_D_fake 0.027765
[641/5000][115/535][65925] Loss_D: -0.024039 Loss_G: 0.010414 Loss_D_real: -0.011543 Loss_D_fake 0.012496
[641/5000][120/535][65926] Loss_D: -0.024094 Loss_G: 0.005508 Loss_D_real: -0.009122 Loss_D_fake 0.014972
[641/5000][125/535][65927] Loss_D: -0.025341 Loss_G: 0.020094 Loss_D_real: -0.018060 Loss_D_fake 0.007281
[641/5000][130/535][65928] Loss_D: -0.023681 Loss_G: 0.017719 Loss_D_real: -0.018581 Loss_D_fake 0.005099
[641/5000][135/535][65929] Loss_D: -0.024168 Loss_G: -0.006510 Loss_D_real: 0.003326 Loss_D_fake 0.027494
[641/5000][140/535][65930] Loss_D: -0.024938 Loss_G: 0.016461 Loss_D_real: -0.017395 Loss_D_fake 0.007544
[641/5000][145/535][65931] Loss_D: -0.025017 Loss_G: 0.003974 Loss_D_real: -0.012504 Loss_D_fake 0.012514
[641/5000][150/535][65932] Loss_D: -0.023541 Loss_G: 0.020194 Loss_D_real: -0.011641 Loss_D_fake 0.011900
[641/5000][155/535][65933] Loss_D: -0.023816 Loss_G: 0.020764 Loss_D_real: -0.028154 Loss_D_fake -0.004339
[641/5000][160/535][65934] Loss_D: -0.023624 Loss_G: -0.007164 Loss_D_real: 0.007248 Loss_D_fake 0.030872
[641/5000][165/535][65935] Loss_D: -0.024772 Loss_G: 0.010966 Loss_D_real: -0.009640 Loss_D_fake 0.015132
[641/5000][170/535][65936] Loss_D: -0.023572 Loss_G: 0.028533 Loss_D_real: -0.023429 Loss_D_fake 0.000143
[641/5000][175/535][65937] Loss_D: -0.023309 Loss_G: 0.020007 Loss_D_real: -0.022598 Loss_D_fake 0.000711
[641/5000][180/535][65938] Loss_D: -0.023585 Loss_G: 0.003577 Loss_D_real: 0.004878 Loss_D_fake 0.028464
[641/5000][185/535][65939] Loss_D: -0.024319 Loss_G: -0.006731 Loss_D_real: -0.008965 Loss_D_fake 0.015354
[641/5000][190/535][65940] Loss_D: -0.024600 Loss_G: 0.034929 Loss_D_real: -0.031231 Loss_D_fake -0.006631
[641/5000][195/535][65941] Loss_D: -0.023765 Loss_G: -0.002547 Loss_D_real: -0.007765 Loss_D_fake 0.015999
[641/5000][200/535][65942] Loss_D: -0.024169 Loss_G: 0.007570 Loss_D_real: -0.011362 Loss_D_fake 0.012807
[641/5000][205/535][65943] Loss_D: -0.021561 Loss_G: -0.007579 Loss_D_real: 0.012255 Loss_D_fake 0.033816
[641/5000][210/535][65944] Loss_D: -0.023696 Loss_G: 0.011046 Loss_D_real: -0.014103 Loss_D_fake 0.009593
[641/5000][215/535][65945] Loss_D: -0.024431 Loss_G: 0.010286 Loss_D_real: -0.005254 Loss_D_fake 0.019177
[641/5000][220/535][65946] Loss_D: -0.023742 Loss_G: 0.010034 Loss_D_real: -0.022568 Loss_D_fake 0.001173
[641/5000][225/535][65947] Loss_D: -0.022457 Loss_G: 0.028828 Loss_D_real: -0.037425 Loss_D_fake -0.014968
[641/5000][230/535][65948] Loss_D: -0.024831 Loss_G: 0.011951 Loss_D_real: -0.018535 Loss_D_fake 0.006297
[641/5000][235/535][65949] Loss_D: -0.024440 Loss_G: 0.028248 Loss_D_real: -0.029632 Loss_D_fake -0.005193
[641/5000][240/535][65950] Loss_D: -0.024550 Loss_G: 0.019426 Loss_D_real: -0.025956 Loss_D_fake -0.001407
[641/5000][245/535][65951] Loss_D: -0.024774 Loss_G: 0.013137 Loss_D_real: -0.019948 Loss_D_fake 0.004826
[641/5000][250/535][65952] Loss_D: -0.024707 Loss_G: 0.022914 Loss_D_real: -0.019072 Loss_D_fake 0.005635
[641/5000][255/535][65953] Loss_D: -0.023526 Loss_G: 0.013763 Loss_D_real: -0.009183 Loss_D_fake 0.014344
[641/5000][260/535][65954] Loss_D: -0.023179 Loss_G: -0.007804 Loss_D_real: 0.012509 Loss_D_fake 0.035688
[641/5000][265/535][65955] Loss_D: -0.024971 Loss_G: 0.005031 Loss_D_real: -0.014212 Loss_D_fake 0.010758
[641/5000][270/535][65956] Loss_D: -0.025344 Loss_G: 0.008293 Loss_D_real: -0.012494 Loss_D_fake 0.012850
[641/5000][275/535][65957] Loss_D: -0.024005 Loss_G: -0.018943 Loss_D_real: -0.000471 Loss_D_fake 0.023534
[641/5000][280/535][65958] Loss_D: -0.024240 Loss_G: 0.003762 Loss_D_real: -0.013310 Loss_D_fake 0.010930
[641/5000][285/535][65959] Loss_D: -0.024393 Loss_G: 0.017209 Loss_D_real: -0.019884 Loss_D_fake 0.004510
[641/5000][290/535][65960] Loss_D: -0.024598 Loss_G: 0.013775 Loss_D_real: -0.020035 Loss_D_fake 0.004563
[641/5000][295/535][65961] Loss_D: -0.024135 Loss_G: 0.010421 Loss_D_real: -0.011949 Loss_D_fake 0.012186
[641/5000][300/535][65962] Loss_D: -0.024943 Loss_G: 0.005596 Loss_D_real: -0.003113 Loss_D_fake 0.021830
[641/5000][305/535][65963] Loss_D: -0.026585 Loss_G: 0.015709 Loss_D_real: -0.016989 Loss_D_fake 0.009596
[641/5000][310/535][65964] Loss_D: -0.025696 Loss_G: 0.029617 Loss_D_real: -0.022745 Loss_D_fake 0.002951
[641/5000][315/535][65965] Loss_D: -0.023596 Loss_G: 0.014737 Loss_D_real: -0.023567 Loss_D_fake 0.000029
[641/5000][320/535][65966] Loss_D: -0.025304 Loss_G: 0.028131 Loss_D_real: -0.019837 Loss_D_fake 0.005467
[641/5000][325/535][65967] Loss_D: -0.022369 Loss_G: 0.031824 Loss_D_real: -0.026091 Loss_D_fake -0.003722
[641/5000][330/535][65968] Loss_D: -0.025199 Loss_G: -0.000973 Loss_D_real: 0.002432 Loss_D_fake 0.027631
[641/5000][335/535][65969] Loss_D: -0.025109 Loss_G: 0.026757 Loss_D_real: -0.015496 Loss_D_fake 0.009613
[641/5000][340/535][65970] Loss_D: -0.023856 Loss_G: 0.009221 Loss_D_real: -0.018611 Loss_D_fake 0.005245
[641/5000][345/535][65971] Loss_D: -0.024124 Loss_G: -0.010432 Loss_D_real: -0.005307 Loss_D_fake 0.018817
[641/5000][350/535][65972] Loss_D: -0.022935 Loss_G: 0.029384 Loss_D_real: -0.017589 Loss_D_fake 0.005345
[641/5000][355/535][65973] Loss_D: -0.023973 Loss_G: 0.022617 Loss_D_real: -0.023410 Loss_D_fake 0.000563
[641/5000][360/535][65974] Loss_D: -0.023917 Loss_G: -0.005986 Loss_D_real: 0.004197 Loss_D_fake 0.028114
[641/5000][365/535][65975] Loss_D: -0.023734 Loss_G: 0.027154 Loss_D_real: -0.014379 Loss_D_fake 0.009354
[641/5000][370/535][65976] Loss_D: -0.025112 Loss_G: 0.009847 Loss_D_real: -0.014162 Loss_D_fake 0.010950
[641/5000][375/535][65977] Loss_D: -0.026491 Loss_G: 0.014952 Loss_D_real: -0.021239 Loss_D_fake 0.005252
[641/5000][380/535][65978] Loss_D: -0.025624 Loss_G: 0.026204 Loss_D_real: -0.025092 Loss_D_fake 0.000532
[641/5000][385/535][65979] Loss_D: -0.025565 Loss_G: 0.022996 Loss_D_real: -0.015795 Loss_D_fake 0.009770
[641/5000][390/535][65980] Loss_D: -0.025387 Loss_G: 0.004482 Loss_D_real: -0.007076 Loss_D_fake 0.018311
[641/5000][395/535][65981] Loss_D: -0.024647 Loss_G: 0.005901 Loss_D_real: -0.004565 Loss_D_fake 0.020082
[641/5000][400/535][65982] Loss_D: -0.023682 Loss_G: 0.001897 Loss_D_real: -0.003556 Loss_D_fake 0.020127
[641/5000][405/535][65983] Loss_D: -0.025095 Loss_G: -0.002997 Loss_D_real: -0.004643 Loss_D_fake 0.020451
[641/5000][410/535][65984] Loss_D: -0.024631 Loss_G: 0.000438 Loss_D_real: -0.009812 Loss_D_fake 0.014819
[641/5000][415/535][65985] Loss_D: -0.022870 Loss_G: 0.005180 Loss_D_real: -0.013793 Loss_D_fake 0.009077
[641/5000][420/535][65986] Loss_D: -0.023574 Loss_G: 0.006267 Loss_D_real: -0.005817 Loss_D_fake 0.017757
[641/5000][425/535][65987] Loss_D: -0.024299 Loss_G: 0.013365 Loss_D_real: -0.014369 Loss_D_fake 0.009930
[641/5000][430/535][65988] Loss_D: -0.024868 Loss_G: 0.020765 Loss_D_real: -0.020616 Loss_D_fake 0.004252
[641/5000][435/535][65989] Loss_D: -0.024774 Loss_G: 0.016238 Loss_D_real: -0.007254 Loss_D_fake 0.017520
[641/5000][440/535][65990] Loss_D: -0.024365 Loss_G: 0.004866 Loss_D_real: -0.001228 Loss_D_fake 0.023137
[641/5000][445/535][65991] Loss_D: -0.022721 Loss_G: 0.028348 Loss_D_real: -0.032937 Loss_D_fake -0.010216
[641/5000][450/535][65992] Loss_D: -0.024888 Loss_G: 0.003394 Loss_D_real: -0.007972 Loss_D_fake 0.016916
[641/5000][455/535][65993] Loss_D: -0.023120 Loss_G: 0.016299 Loss_D_real: -0.021190 Loss_D_fake 0.001929
[641/5000][460/535][65994] Loss_D: -0.022787 Loss_G: 0.014825 Loss_D_real: -0.020193 Loss_D_fake 0.002594
[641/5000][465/535][65995] Loss_D: -0.024815 Loss_G: 0.010698 Loss_D_real: -0.017608 Loss_D_fake 0.007208
[641/5000][470/535][65996] Loss_D: -0.024102 Loss_G: 0.004870 Loss_D_real: -0.004185 Loss_D_fake 0.019917
[641/5000][475/535][65997] Loss_D: -0.023422 Loss_G: 0.013432 Loss_D_real: -0.012280 Loss_D_fake 0.011143
[641/5000][480/535][65998] Loss_D: -0.022228 Loss_G: 0.030353 Loss_D_real: -0.030565 Loss_D_fake -0.008337
[641/5000][485/535][65999] Loss_D: -0.023835 Loss_G: 0.031754 Loss_D_real: -0.025148 Loss_D_fake -0.001312
[641/5000][490/535][66000] Loss_D: -0.025413 Loss_G: -0.003706 Loss_D_real: -0.005380 Loss_D_fake 0.020034
[641/5000][535/535][66001] Loss_D: -0.024235 Loss_G: -0.002001 Loss_D_real: -0.006763 Loss_D_fake 0.017472
[642/5000][5/535][66002] Loss_D: -0.026064 Loss_G: 0.006221 Loss_D_real: -0.004139 Loss_D_fake 0.021925
[642/5000][10/535][66003] Loss_D: -0.023599 Loss_G: 0.006552 Loss_D_real: -0.009035 Loss_D_fake 0.014564
[642/5000][15/535][66004] Loss_D: -0.024981 Loss_G: 0.014595 Loss_D_real: -0.011374 Loss_D_fake 0.013607
[642/5000][20/535][66005] Loss_D: -0.023062 Loss_G: 0.024969 Loss_D_real: -0.020332 Loss_D_fake 0.002730
[642/5000][25/535][66006] Loss_D: -0.024618 Loss_G: 0.009870 Loss_D_real: -0.014090 Loss_D_fake 0.010528
[642/5000][30/535][66007] Loss_D: -0.025836 Loss_G: 0.014172 Loss_D_real: -0.010483 Loss_D_fake 0.015353
[642/5000][35/535][66008] Loss_D: -0.024170 Loss_G: 0.007120 Loss_D_real: -0.011278 Loss_D_fake 0.012892
[642/5000][40/535][66009] Loss_D: -0.022974 Loss_G: -0.003600 Loss_D_real: -0.007029 Loss_D_fake 0.015944
[642/5000][45/535][66010] Loss_D: -0.022913 Loss_G: 0.030243 Loss_D_real: -0.027301 Loss_D_fake -0.004387
[642/5000][50/535][66011] Loss_D: -0.024428 Loss_G: 0.021591 Loss_D_real: -0.018814 Loss_D_fake 0.005614
[642/5000][55/535][66012] Loss_D: -0.024875 Loss_G: 0.029693 Loss_D_real: -0.015998 Loss_D_fake 0.008877
[642/5000][60/535][66013] Loss_D: -0.025433 Loss_G: 0.013391 Loss_D_real: -0.015731 Loss_D_fake 0.009702
[642/5000][65/535][66014] Loss_D: -0.024371 Loss_G: 0.025466 Loss_D_real: -0.021085 Loss_D_fake 0.003286
[642/5000][70/535][66015] Loss_D: -0.025018 Loss_G: 0.026434 Loss_D_real: -0.014842 Loss_D_fake 0.010176
[642/5000][75/535][66016] Loss_D: -0.024806 Loss_G: 0.019769 Loss_D_real: -0.020611 Loss_D_fake 0.004196
[642/5000][80/535][66017] Loss_D: -0.025056 Loss_G: 0.009227 Loss_D_real: -0.003053 Loss_D_fake 0.022002
[642/5000][85/535][66018] Loss_D: -0.023988 Loss_G: 0.031920 Loss_D_real: -0.030628 Loss_D_fake -0.006640
[642/5000][90/535][66019] Loss_D: -0.024316 Loss_G: -0.001885 Loss_D_real: 0.008980 Loss_D_fake 0.033296
[642/5000][95/535][66020] Loss_D: -0.023178 Loss_G: 0.005472 Loss_D_real: -0.016102 Loss_D_fake 0.007076
[642/5000][100/535][66021] Loss_D: -0.022476 Loss_G: 0.040325 Loss_D_real: -0.023163 Loss_D_fake -0.000687
[642/5000][105/535][66022] Loss_D: -0.024130 Loss_G: 0.019810 Loss_D_real: -0.023390 Loss_D_fake 0.000739
[642/5000][110/535][66023] Loss_D: -0.023348 Loss_G: 0.026958 Loss_D_real: -0.018423 Loss_D_fake 0.004925
[642/5000][115/535][66024] Loss_D: -0.026290 Loss_G: 0.016120 Loss_D_real: -0.026772 Loss_D_fake -0.000483
[642/5000][120/535][66025] Loss_D: -0.026094 Loss_G: 0.016266 Loss_D_real: -0.012524 Loss_D_fake 0.013570
[642/5000][125/535][66026] Loss_D: -0.024300 Loss_G: -0.007166 Loss_D_real: 0.001644 Loss_D_fake 0.025944
[642/5000][130/535][66027] Loss_D: -0.022892 Loss_G: 0.006760 Loss_D_real: 0.000574 Loss_D_fake 0.023466
[642/5000][135/535][66028] Loss_D: -0.023100 Loss_G: 0.019877 Loss_D_real: -0.025761 Loss_D_fake -0.002661
[642/5000][140/535][66029] Loss_D: -0.024246 Loss_G: 0.018635 Loss_D_real: -0.012230 Loss_D_fake 0.012016
[642/5000][145/535][66030] Loss_D: -0.023654 Loss_G: 0.029689 Loss_D_real: -0.017752 Loss_D_fake 0.005901
[642/5000][150/535][66031] Loss_D: -0.025053 Loss_G: 0.005872 Loss_D_real: -0.006057 Loss_D_fake 0.018996
[642/5000][155/535][66032] Loss_D: -0.023389 Loss_G: 0.010037 Loss_D_real: -0.010768 Loss_D_fake 0.012621
[642/5000][160/535][66033] Loss_D: -0.024579 Loss_G: 0.019804 Loss_D_real: -0.022268 Loss_D_fake 0.002311
[642/5000][165/535][66034] Loss_D: -0.022934 Loss_G: 0.019592 Loss_D_real: -0.017643 Loss_D_fake 0.005291
[642/5000][170/535][66035] Loss_D: -0.023230 Loss_G: 0.018622 Loss_D_real: -0.024830 Loss_D_fake -0.001600
[642/5000][175/535][66036] Loss_D: -0.024585 Loss_G: 0.005312 Loss_D_real: -0.011604 Loss_D_fake 0.012981
[642/5000][180/535][66037] Loss_D: -0.025701 Loss_G: 0.035257 Loss_D_real: -0.023972 Loss_D_fake 0.001729
[642/5000][185/535][66038] Loss_D: -0.025130 Loss_G: 0.010417 Loss_D_real: -0.017218 Loss_D_fake 0.007912
[642/5000][190/535][66039] Loss_D: -0.024818 Loss_G: 0.001334 Loss_D_real: -0.008149 Loss_D_fake 0.016670
[642/5000][195/535][66040] Loss_D: -0.022541 Loss_G: 0.008800 Loss_D_real: -0.013492 Loss_D_fake 0.009049
[642/5000][200/535][66041] Loss_D: -0.023707 Loss_G: 0.011922 Loss_D_real: -0.029004 Loss_D_fake -0.005297
[642/5000][205/535][66042] Loss_D: -0.023869 Loss_G: -0.005159 Loss_D_real: -0.002933 Loss_D_fake 0.020936
[642/5000][210/535][66043] Loss_D: -0.024363 Loss_G: 0.015919 Loss_D_real: -0.015895 Loss_D_fake 0.008468
[642/5000][215/535][66044] Loss_D: -0.024295 Loss_G: 0.005592 Loss_D_real: -0.007792 Loss_D_fake 0.016503
[642/5000][220/535][66045] Loss_D: -0.025779 Loss_G: 0.004708 Loss_D_real: -0.013425 Loss_D_fake 0.012355
[642/5000][225/535][66046] Loss_D: -0.023728 Loss_G: 0.027295 Loss_D_real: -0.016953 Loss_D_fake 0.006775
[642/5000][230/535][66047] Loss_D: -0.025167 Loss_G: 0.013807 Loss_D_real: -0.018100 Loss_D_fake 0.007067
[642/5000][235/535][66048] Loss_D: -0.025427 Loss_G: 0.022559 Loss_D_real: -0.028718 Loss_D_fake -0.003291
[642/5000][240/535][66049] Loss_D: -0.024813 Loss_G: 0.011629 Loss_D_real: -0.017370 Loss_D_fake 0.007442
[642/5000][245/535][66050] Loss_D: -0.023479 Loss_G: 0.029719 Loss_D_real: -0.020085 Loss_D_fake 0.003395
[642/5000][250/535][66051] Loss_D: -0.023798 Loss_G: 0.004975 Loss_D_real: -0.005827 Loss_D_fake 0.017971
[642/5000][255/535][66052] Loss_D: -0.023856 Loss_G: 0.012568 Loss_D_real: -0.014907 Loss_D_fake 0.008949
[642/5000][260/535][66053] Loss_D: -0.026467 Loss_G: 0.021524 Loss_D_real: -0.019139 Loss_D_fake 0.007328
[642/5000][265/535][66054] Loss_D: -0.024127 Loss_G: 0.012925 Loss_D_real: -0.010266 Loss_D_fake 0.013861
[642/5000][270/535][66055] Loss_D: -0.023829 Loss_G: 0.012023 Loss_D_real: -0.013427 Loss_D_fake 0.010402
[642/5000][275/535][66056] Loss_D: -0.025014 Loss_G: 0.003187 Loss_D_real: -0.009624 Loss_D_fake 0.015390
[642/5000][280/535][66057] Loss_D: -0.025217 Loss_G: 0.013864 Loss_D_real: -0.012535 Loss_D_fake 0.012682
[642/5000][285/535][66058] Loss_D: -0.023938 Loss_G: 0.012820 Loss_D_real: -0.013282 Loss_D_fake 0.010656
[642/5000][290/535][66059] Loss_D: -0.025063 Loss_G: 0.033335 Loss_D_real: -0.027157 Loss_D_fake -0.002093
[642/5000][295/535][66060] Loss_D: -0.024692 Loss_G: 0.011107 Loss_D_real: -0.012379 Loss_D_fake 0.012313
[642/5000][300/535][66061] Loss_D: -0.023953 Loss_G: 0.019593 Loss_D_real: -0.014787 Loss_D_fake 0.009166
[642/5000][305/535][66062] Loss_D: -0.025139 Loss_G: -0.007148 Loss_D_real: 0.005701 Loss_D_fake 0.030840
[642/5000][310/535][66063] Loss_D: -0.023985 Loss_G: 0.020534 Loss_D_real: -0.010592 Loss_D_fake 0.013393
[642/5000][315/535][66064] Loss_D: -0.023746 Loss_G: 0.021752 Loss_D_real: -0.019449 Loss_D_fake 0.004297
[642/5000][320/535][66065] Loss_D: -0.024541 Loss_G: -0.013800 Loss_D_real: 0.004681 Loss_D_fake 0.029222
[642/5000][325/535][66066] Loss_D: -0.022984 Loss_G: 0.018424 Loss_D_real: -0.025564 Loss_D_fake -0.002580
[642/5000][330/535][66067] Loss_D: -0.023588 Loss_G: 0.011925 Loss_D_real: -0.014989 Loss_D_fake 0.008599
[642/5000][335/535][66068] Loss_D: -0.023409 Loss_G: 0.030202 Loss_D_real: -0.028505 Loss_D_fake -0.005097
[642/5000][340/535][66069] Loss_D: -0.024047 Loss_G: -0.008626 Loss_D_real: -0.007853 Loss_D_fake 0.016194
[642/5000][345/535][66070] Loss_D: -0.023072 Loss_G: 0.001780 Loss_D_real: -0.009868 Loss_D_fake 0.013203
[642/5000][350/535][66071] Loss_D: -0.023096 Loss_G: 0.026684 Loss_D_real: -0.027373 Loss_D_fake -0.004277
[642/5000][355/535][66072] Loss_D: -0.025689 Loss_G: 0.011686 Loss_D_real: -0.017005 Loss_D_fake 0.008684
[642/5000][360/535][66073] Loss_D: -0.024796 Loss_G: 0.006308 Loss_D_real: -0.001935 Loss_D_fake 0.022861
[642/5000][365/535][66074] Loss_D: -0.025654 Loss_G: 0.015096 Loss_D_real: -0.002266 Loss_D_fake 0.023388
[642/5000][370/535][66075] Loss_D: -0.025148 Loss_G: 0.000770 Loss_D_real: -0.011539 Loss_D_fake 0.013609
[642/5000][375/535][66076] Loss_D: -0.024316 Loss_G: 0.021781 Loss_D_real: -0.017993 Loss_D_fake 0.006324
[642/5000][380/535][66077] Loss_D: -0.024778 Loss_G: 0.018063 Loss_D_real: -0.014406 Loss_D_fake 0.010372
[642/5000][385/535][66078] Loss_D: -0.024330 Loss_G: 0.001644 Loss_D_real: -0.010610 Loss_D_fake 0.013720
[642/5000][390/535][66079] Loss_D: -0.023966 Loss_G: 0.017110 Loss_D_real: -0.021328 Loss_D_fake 0.002638
[642/5000][395/535][66080] Loss_D: -0.024436 Loss_G: 0.007155 Loss_D_real: -0.016089 Loss_D_fake 0.008347
[642/5000][400/535][66081] Loss_D: -0.023635 Loss_G: 0.024107 Loss_D_real: -0.015207 Loss_D_fake 0.008429
[642/5000][405/535][66082] Loss_D: -0.024379 Loss_G: -0.005709 Loss_D_real: 0.003164 Loss_D_fake 0.027542
[642/5000][410/535][66083] Loss_D: -0.024689 Loss_G: 0.014250 Loss_D_real: -0.011345 Loss_D_fake 0.013344
[642/5000][415/535][66084] Loss_D: -0.024656 Loss_G: 0.034670 Loss_D_real: -0.019439 Loss_D_fake 0.005217
[642/5000][420/535][66085] Loss_D: -0.024838 Loss_G: 0.012407 Loss_D_real: -0.012880 Loss_D_fake 0.011957
[642/5000][425/535][66086] Loss_D: -0.023165 Loss_G: 0.020567 Loss_D_real: -0.012690 Loss_D_fake 0.010475
[642/5000][430/535][66087] Loss_D: -0.023920 Loss_G: 0.017216 Loss_D_real: -0.010772 Loss_D_fake 0.013148
[642/5000][435/535][66088] Loss_D: -0.022825 Loss_G: 0.031736 Loss_D_real: -0.029529 Loss_D_fake -0.006704
[642/5000][440/535][66089] Loss_D: -0.025260 Loss_G: -0.002287 Loss_D_real: -0.013032 Loss_D_fake 0.012228
[642/5000][445/535][66090] Loss_D: -0.024081 Loss_G: 0.006370 Loss_D_real: -0.005742 Loss_D_fake 0.018339
[642/5000][450/535][66091] Loss_D: -0.024500 Loss_G: 0.010721 Loss_D_real: -0.020106 Loss_D_fake 0.004394
[642/5000][455/535][66092] Loss_D: -0.025186 Loss_G: 0.020014 Loss_D_real: -0.014310 Loss_D_fake 0.010876
[642/5000][460/535][66093] Loss_D: -0.023593 Loss_G: 0.017632 Loss_D_real: -0.024340 Loss_D_fake -0.000747
[642/5000][465/535][66094] Loss_D: -0.023304 Loss_G: 0.030914 Loss_D_real: -0.035949 Loss_D_fake -0.012645
[642/5000][470/535][66095] Loss_D: -0.023748 Loss_G: 0.000696 Loss_D_real: 0.000833 Loss_D_fake 0.024582
[642/5000][475/535][66096] Loss_D: -0.024375 Loss_G: 0.022114 Loss_D_real: -0.021173 Loss_D_fake 0.003202
[642/5000][480/535][66097] Loss_D: -0.024815 Loss_G: 0.003572 Loss_D_real: -0.002882 Loss_D_fake 0.021933
[642/5000][485/535][66098] Loss_D: -0.025222 Loss_G: 0.009559 Loss_D_real: -0.021439 Loss_D_fake 0.003783
[642/5000][490/535][66099] Loss_D: -0.025517 Loss_G: 0.032239 Loss_D_real: -0.019132 Loss_D_fake 0.006385
[642/5000][495/535][66100] Loss_D: -0.024648 Loss_G: 0.004405 Loss_D_real: -0.010672 Loss_D_fake 0.013976
[642/5000][500/535][66101] Loss_D: -0.023617 Loss_G: 0.007444 Loss_D_real: 0.000093 Loss_D_fake 0.023711
[642/5000][505/535][66102] Loss_D: -0.023686 Loss_G: 0.012479 Loss_D_real: -0.020766 Loss_D_fake 0.002920
[642/5000][510/535][66103] Loss_D: -0.026205 Loss_G: 0.005178 Loss_D_real: -0.009783 Loss_D_fake 0.016422
[642/5000][515/535][66104] Loss_D: -0.023940 Loss_G: 0.010219 Loss_D_real: -0.018691 Loss_D_fake 0.005249
[642/5000][520/535][66105] Loss_D: -0.024845 Loss_G: 0.016483 Loss_D_real: -0.017366 Loss_D_fake 0.007479
[642/5000][525/535][66106] Loss_D: -0.025317 Loss_G: 0.027228 Loss_D_real: -0.013731 Loss_D_fake 0.011586
[642/5000][530/535][66107] Loss_D: -0.024116 Loss_G: 0.009902 Loss_D_real: -0.026877 Loss_D_fake -0.002761
[642/5000][535/535][66108] Loss_D: -0.020089 Loss_G: 0.033216 Loss_D_real: -0.016493 Loss_D_fake 0.003596
[643/5000][5/535][66109] Loss_D: -0.024568 Loss_G: 0.003935 Loss_D_real: -0.016193 Loss_D_fake 0.008375
[643/5000][10/535][66110] Loss_D: -0.023960 Loss_G: -0.006320 Loss_D_real: -0.000381 Loss_D_fake 0.023579
[643/5000][15/535][66111] Loss_D: -0.024041 Loss_G: 0.020730 Loss_D_real: -0.020640 Loss_D_fake 0.003401
[643/5000][20/535][66112] Loss_D: -0.024412 Loss_G: 0.003901 Loss_D_real: -0.011198 Loss_D_fake 0.013214
[643/5000][25/535][66113] Loss_D: -0.024263 Loss_G: 0.019272 Loss_D_real: -0.019600 Loss_D_fake 0.004663
[643/5000][30/535][66114] Loss_D: -0.023723 Loss_G: -0.001536 Loss_D_real: -0.000612 Loss_D_fake 0.023110
[643/5000][35/535][66115] Loss_D: -0.023057 Loss_G: 0.035117 Loss_D_real: -0.025137 Loss_D_fake -0.002079
[643/5000][40/535][66116] Loss_D: -0.025071 Loss_G: 0.011632 Loss_D_real: -0.016512 Loss_D_fake 0.008559
[643/5000][45/535][66117] Loss_D: -0.023821 Loss_G: 0.017258 Loss_D_real: -0.026084 Loss_D_fake -0.002263
[643/5000][50/535][66118] Loss_D: -0.023405 Loss_G: 0.015859 Loss_D_real: -0.033175 Loss_D_fake -0.009770
[643/5000][55/535][66119] Loss_D: -0.025502 Loss_G: -0.000434 Loss_D_real: -0.008107 Loss_D_fake 0.017395
[643/5000][60/535][66120] Loss_D: -0.024073 Loss_G: 0.017534 Loss_D_real: -0.011122 Loss_D_fake 0.012950
[643/5000][65/535][66121] Loss_D: -0.023455 Loss_G: 0.003346 Loss_D_real: -0.012665 Loss_D_fake 0.010790
[643/5000][70/535][66122] Loss_D: -0.024720 Loss_G: 0.020040 Loss_D_real: -0.017433 Loss_D_fake 0.007288
[643/5000][75/535][66123] Loss_D: -0.025864 Loss_G: 0.000208 Loss_D_real: -0.005610 Loss_D_fake 0.020254
[643/5000][80/535][66124] Loss_D: -0.023607 Loss_G: 0.022609 Loss_D_real: -0.027791 Loss_D_fake -0.004184
[643/5000][85/535][66125] Loss_D: -0.023938 Loss_G: 0.022436 Loss_D_real: -0.020669 Loss_D_fake 0.003269
[643/5000][90/535][66126] Loss_D: -0.023940 Loss_G: 0.024885 Loss_D_real: -0.027460 Loss_D_fake -0.003519
[643/5000][95/535][66127] Loss_D: -0.023413 Loss_G: -0.010338 Loss_D_real: 0.009350 Loss_D_fake 0.032762
[643/5000][100/535][66128] Loss_D: -0.023779 Loss_G: 0.013034 Loss_D_real: -0.003739 Loss_D_fake 0.020040
[643/5000][105/535][66129] Loss_D: -0.023514 Loss_G: -0.003651 Loss_D_real: -0.005780 Loss_D_fake 0.017734
[643/5000][110/535][66130] Loss_D: -0.024489 Loss_G: 0.013638 Loss_D_real: -0.014942 Loss_D_fake 0.009547
[643/5000][115/535][66131] Loss_D: -0.025939 Loss_G: -0.003442 Loss_D_real: -0.000707 Loss_D_fake 0.025232
[643/5000][120/535][66132] Loss_D: -0.024625 Loss_G: 0.003919 Loss_D_real: -0.012293 Loss_D_fake 0.012333
[643/5000][125/535][66133] Loss_D: -0.025172 Loss_G: 0.025262 Loss_D_real: -0.025484 Loss_D_fake -0.000312
[643/5000][130/535][66134] Loss_D: -0.024901 Loss_G: 0.009587 Loss_D_real: -0.001282 Loss_D_fake 0.023619
[643/5000][135/535][66135] Loss_D: -0.025123 Loss_G: 0.007766 Loss_D_real: -0.002113 Loss_D_fake 0.023010
[643/5000][140/535][66136] Loss_D: -0.023684 Loss_G: 0.003455 Loss_D_real: -0.017179 Loss_D_fake 0.006505
[643/5000][145/535][66137] Loss_D: -0.024686 Loss_G: 0.001040 Loss_D_real: -0.000898 Loss_D_fake 0.023789
[643/5000][150/535][66138] Loss_D: -0.025604 Loss_G: 0.015599 Loss_D_real: -0.009243 Loss_D_fake 0.016361
[643/5000][155/535][66139] Loss_D: -0.023602 Loss_G: 0.017218 Loss_D_real: -0.011861 Loss_D_fake 0.011741
[643/5000][160/535][66140] Loss_D: -0.024220 Loss_G: 0.000024 Loss_D_real: 0.003115 Loss_D_fake 0.027334
[643/5000][165/535][66141] Loss_D: -0.025042 Loss_G: 0.014634 Loss_D_real: -0.016724 Loss_D_fake 0.008318
[643/5000][170/535][66142] Loss_D: -0.025677 Loss_G: 0.011787 Loss_D_real: -0.010653 Loss_D_fake 0.015024
[643/5000][175/535][66143] Loss_D: -0.023820 Loss_G: 0.038382 Loss_D_real: -0.029208 Loss_D_fake -0.005388
[643/5000][180/535][66144] Loss_D: -0.023934 Loss_G: 0.015851 Loss_D_real: -0.018558 Loss_D_fake 0.005376
[643/5000][185/535][66145] Loss_D: -0.023466 Loss_G: 0.002447 Loss_D_real: -0.009340 Loss_D_fake 0.014127
[643/5000][190/535][66146] Loss_D: -0.024165 Loss_G: -0.000956 Loss_D_real: -0.009110 Loss_D_fake 0.015056
[643/5000][195/535][66147] Loss_D: -0.024611 Loss_G: 0.019300 Loss_D_real: -0.022266 Loss_D_fake 0.002344
[643/5000][200/535][66148] Loss_D: -0.026211 Loss_G: 0.011904 Loss_D_real: -0.015867 Loss_D_fake 0.010345
[643/5000][205/535][66149] Loss_D: -0.025541 Loss_G: 0.020536 Loss_D_real: -0.013660 Loss_D_fake 0.011882
[643/5000][210/535][66150] Loss_D: -0.024492 Loss_G: 0.027467 Loss_D_real: -0.012879 Loss_D_fake 0.011613
[643/5000][215/535][66151] Loss_D: -0.022164 Loss_G: -0.019620 Loss_D_real: 0.005307 Loss_D_fake 0.027471
[643/5000][220/535][66152] Loss_D: -0.024265 Loss_G: 0.026483 Loss_D_real: -0.015824 Loss_D_fake 0.008441
[643/5000][225/535][66153] Loss_D: -0.023327 Loss_G: 0.019137 Loss_D_real: -0.014845 Loss_D_fake 0.008483
[643/5000][230/535][66154] Loss_D: -0.023701 Loss_G: 0.010870 Loss_D_real: -0.010288 Loss_D_fake 0.013414
[643/5000][235/535][66155] Loss_D: -0.023559 Loss_G: 0.021580 Loss_D_real: -0.011982 Loss_D_fake 0.011578
[643/5000][240/535][66156] Loss_D: -0.024310 Loss_G: 0.026749 Loss_D_real: -0.025918 Loss_D_fake -0.001609
[643/5000][245/535][66157] Loss_D: -0.024836 Loss_G: 0.003231 Loss_D_real: -0.013258 Loss_D_fake 0.011578
[643/5000][250/535][66158] Loss_D: -0.025063 Loss_G: 0.013813 Loss_D_real: -0.015048 Loss_D_fake 0.010016
[643/5000][255/535][66159] Loss_D: -0.025265 Loss_G: 0.006090 Loss_D_real: -0.009949 Loss_D_fake 0.015316
[643/5000][260/535][66160] Loss_D: -0.025080 Loss_G: 0.020597 Loss_D_real: -0.023541 Loss_D_fake 0.001539
[643/5000][265/535][66161] Loss_D: -0.024519 Loss_G: 0.024101 Loss_D_real: -0.025575 Loss_D_fake -0.001055
[643/5000][270/535][66162] Loss_D: -0.024744 Loss_G: 0.012678 Loss_D_real: -0.011932 Loss_D_fake 0.012812
[643/5000][275/535][66163] Loss_D: -0.025761 Loss_G: 0.008881 Loss_D_real: -0.017891 Loss_D_fake 0.007870
[643/5000][280/535][66164] Loss_D: -0.024182 Loss_G: 0.008464 Loss_D_real: -0.008514 Loss_D_fake 0.015668
[643/5000][285/535][66165] Loss_D: -0.022652 Loss_G: 0.031754 Loss_D_real: -0.029273 Loss_D_fake -0.006622
[643/5000][290/535][66166] Loss_D: -0.024938 Loss_G: 0.033378 Loss_D_real: -0.025276 Loss_D_fake -0.000338
[643/5000][295/535][66167] Loss_D: -0.024704 Loss_G: -0.000745 Loss_D_real: 0.000637 Loss_D_fake 0.025342
[643/5000][300/535][66168] Loss_D: -0.022459 Loss_G: 0.023039 Loss_D_real: -0.030791 Loss_D_fake -0.008332
[643/5000][305/535][66169] Loss_D: -0.025713 Loss_G: 0.015942 Loss_D_real: -0.013032 Loss_D_fake 0.012681
[643/5000][310/535][66170] Loss_D: -0.023997 Loss_G: 0.023411 Loss_D_real: -0.017429 Loss_D_fake 0.006568
[643/5000][315/535][66171] Loss_D: -0.024947 Loss_G: 0.012395 Loss_D_real: -0.017399 Loss_D_fake 0.007548
[643/5000][320/535][66172] Loss_D: -0.023767 Loss_G: 0.022811 Loss_D_real: -0.029327 Loss_D_fake -0.005560
[643/5000][325/535][66173] Loss_D: -0.025043 Loss_G: -0.000046 Loss_D_real: 0.000473 Loss_D_fake 0.025516
[643/5000][330/535][66174] Loss_D: -0.025704 Loss_G: 0.010903 Loss_D_real: -0.015615 Loss_D_fake 0.010089
[643/5000][335/535][66175] Loss_D: -0.024375 Loss_G: 0.009831 Loss_D_real: -0.014483 Loss_D_fake 0.009892
[643/5000][340/535][66176] Loss_D: -0.024295 Loss_G: 0.022590 Loss_D_real: -0.004550 Loss_D_fake 0.019745
[643/5000][345/535][66177] Loss_D: -0.024731 Loss_G: 0.000484 Loss_D_real: -0.008965 Loss_D_fake 0.015767
[643/5000][350/535][66178] Loss_D: -0.023092 Loss_G: 0.020791 Loss_D_real: -0.018426 Loss_D_fake 0.004666
[643/5000][355/535][66179] Loss_D: -0.023559 Loss_G: 0.026543 Loss_D_real: -0.025808 Loss_D_fake -0.002248
[643/5000][360/535][66180] Loss_D: -0.023820 Loss_G: 0.019522 Loss_D_real: -0.025294 Loss_D_fake -0.001474
[643/5000][365/535][66181] Loss_D: -0.024898 Loss_G: -0.011834 Loss_D_real: -0.002046 Loss_D_fake 0.022851
[643/5000][370/535][66182] Loss_D: -0.022883 Loss_G: 0.029336 Loss_D_real: -0.024367 Loss_D_fake -0.001484
[643/5000][375/535][66183] Loss_D: -0.024781 Loss_G: 0.017581 Loss_D_real: -0.016803 Loss_D_fake 0.007978
[643/5000][380/535][66184] Loss_D: -0.025814 Loss_G: 0.023527 Loss_D_real: -0.013618 Loss_D_fake 0.012196
[643/5000][385/535][66185] Loss_D: -0.024847 Loss_G: 0.005839 Loss_D_real: -0.010197 Loss_D_fake 0.014649
[643/5000][390/535][66186] Loss_D: -0.025775 Loss_G: 0.014916 Loss_D_real: -0.013131 Loss_D_fake 0.012644
[643/5000][395/535][66187] Loss_D: -0.025105 Loss_G: 0.019349 Loss_D_real: -0.018086 Loss_D_fake 0.007019
[643/5000][400/535][66188] Loss_D: -0.024888 Loss_G: 0.024708 Loss_D_real: -0.023942 Loss_D_fake 0.000947
[643/5000][405/535][66189] Loss_D: -0.024694 Loss_G: 0.029082 Loss_D_real: -0.023558 Loss_D_fake 0.001136
[643/5000][410/535][66190] Loss_D: -0.024982 Loss_G: 0.017555 Loss_D_real: -0.026361 Loss_D_fake -0.001379
[643/5000][415/535][66191] Loss_D: -0.024264 Loss_G: 0.027089 Loss_D_real: -0.021366 Loss_D_fake 0.002898
[643/5000][420/535][66192] Loss_D: -0.025266 Loss_G: 0.011281 Loss_D_real: -0.014389 Loss_D_fake 0.010878
[643/5000][425/535][66193] Loss_D: -0.023826 Loss_G: 0.022259 Loss_D_real: -0.020462 Loss_D_fake 0.003364
[643/5000][430/535][66194] Loss_D: -0.024881 Loss_G: 0.015264 Loss_D_real: -0.018072 Loss_D_fake 0.006809
[643/5000][435/535][66195] Loss_D: -0.024713 Loss_G: 0.026891 Loss_D_real: -0.037413 Loss_D_fake -0.012700
[643/5000][440/535][66196] Loss_D: -0.023933 Loss_G: 0.002006 Loss_D_real: -0.005245 Loss_D_fake 0.018688
[643/5000][445/535][66197] Loss_D: -0.024982 Loss_G: 0.020108 Loss_D_real: -0.023655 Loss_D_fake 0.001327
[643/5000][450/535][66198] Loss_D: -0.025536 Loss_G: 0.028923 Loss_D_real: -0.023010 Loss_D_fake 0.002526
[643/5000][455/535][66199] Loss_D: -0.024388 Loss_G: 0.006625 Loss_D_real: -0.009430 Loss_D_fake 0.014958
[643/5000][460/535][66200] Loss_D: -0.023109 Loss_G: -0.009992 Loss_D_real: 0.013158 Loss_D_fake 0.036268
[643/5000][465/535][66201] Loss_D: -0.022732 Loss_G: 0.015912 Loss_D_real: -0.017639 Loss_D_fake 0.005093
[643/5000][470/535][66202] Loss_D: -0.022611 Loss_G: 0.044170 Loss_D_real: -0.024887 Loss_D_fake -0.002276
[643/5000][475/535][66203] Loss_D: -0.022970 Loss_G: 0.029038 Loss_D_real: -0.021737 Loss_D_fake 0.001233
[643/5000][480/535][66204] Loss_D: -0.025243 Loss_G: 0.007271 Loss_D_real: -0.014497 Loss_D_fake 0.010747
[643/5000][485/535][66205] Loss_D: -0.023397 Loss_G: 0.019129 Loss_D_real: -0.030774 Loss_D_fake -0.007376
[643/5000][490/535][66206] Loss_D: -0.023325 Loss_G: 0.007994 Loss_D_real: -0.010821 Loss_D_fake 0.012504
[643/5000][495/535][66207] Loss_D: -0.024076 Loss_G: 0.018030 Loss_D_real: -0.015962 Loss_D_fake 0.008114
[643/5000][500/535][66208] Loss_D: -0.023503 Loss_G: 0.010488 Loss_D_real: -0.025504 Loss_D_fake -0.002001
[643/5000][505/535][66209] Loss_D: -0.025550 Loss_G: 0.016627 Loss_D_real: -0.022105 Loss_D_fake 0.003445
[643/5000][510/535][66210] Loss_D: -0.023563 Loss_G: 0.022867 Loss_D_real: -0.015801 Loss_D_fake 0.007762
[643/5000][515/535][66211] Loss_D: -0.024813 Loss_G: 0.004988 Loss_D_real: -0.013154 Loss_D_fake 0.011659
[643/5000][520/535][66212] Loss_D: -0.022707 Loss_G: 0.026334 Loss_D_real: -0.027743 Loss_D_fake -0.005036
[643/5000][525/535][66213] Loss_D: -0.024506 Loss_G: 0.004976 Loss_D_real: -0.004819 Loss_D_fake 0.019687
[643/5000][530/535][66214] Loss_D: -0.023852 Loss_G: 0.015859 Loss_D_real: -0.011296 Loss_D_fake 0.012556
[643/5000][535/535][66215] Loss_D: -0.027459 Loss_G: 0.018371 Loss_D_real: -0.026076 Loss_D_fake 0.001382
[644/5000][5/535][66216] Loss_D: -0.025164 Loss_G: 0.005692 Loss_D_real: -0.012864 Loss_D_fake 0.012300
[644/5000][10/535][66217] Loss_D: -0.024769 Loss_G: 0.002765 Loss_D_real: -0.008773 Loss_D_fake 0.015996
[644/5000][15/535][66218] Loss_D: -0.024404 Loss_G: 0.013659 Loss_D_real: -0.014586 Loss_D_fake 0.009819
[644/5000][20/535][66219] Loss_D: -0.023896 Loss_G: 0.003104 Loss_D_real: -0.005710 Loss_D_fake 0.018185
[644/5000][25/535][66220] Loss_D: -0.024514 Loss_G: 0.024986 Loss_D_real: -0.020397 Loss_D_fake 0.004117
[644/5000][30/535][66221] Loss_D: -0.025379 Loss_G: 0.023315 Loss_D_real: -0.016407 Loss_D_fake 0.008972
[644/5000][35/535][66222] Loss_D: -0.024542 Loss_G: -0.002704 Loss_D_real: -0.007482 Loss_D_fake 0.017060
[644/5000][40/535][66223] Loss_D: -0.024108 Loss_G: -0.010074 Loss_D_real: 0.000221 Loss_D_fake 0.024329
[644/5000][45/535][66224] Loss_D: -0.023818 Loss_G: 0.005926 Loss_D_real: -0.006790 Loss_D_fake 0.017027
[644/5000][50/535][66225] Loss_D: -0.022529 Loss_G: 0.030524 Loss_D_real: -0.028371 Loss_D_fake -0.005842
[644/5000][55/535][66226] Loss_D: -0.024581 Loss_G: 0.003307 Loss_D_real: -0.010757 Loss_D_fake 0.013823
[644/5000][60/535][66227] Loss_D: -0.024189 Loss_G: -0.001388 Loss_D_real: -0.022717 Loss_D_fake 0.001471
[644/5000][65/535][66228] Loss_D: -0.024733 Loss_G: 0.015276 Loss_D_real: -0.018961 Loss_D_fake 0.005772
[644/5000][70/535][66229] Loss_D: -0.024443 Loss_G: -0.004443 Loss_D_real: 0.004423 Loss_D_fake 0.028866
[644/5000][75/535][66230] Loss_D: -0.023314 Loss_G: 0.005390 Loss_D_real: -0.013624 Loss_D_fake 0.009690
[644/5000][80/535][66231] Loss_D: -0.023757 Loss_G: 0.011937 Loss_D_real: -0.017675 Loss_D_fake 0.006081
[644/5000][85/535][66232] Loss_D: -0.025780 Loss_G: 0.016053 Loss_D_real: -0.018210 Loss_D_fake 0.007570
[644/5000][90/535][66233] Loss_D: -0.024405 Loss_G: 0.017044 Loss_D_real: -0.022578 Loss_D_fake 0.001827
[644/5000][95/535][66234] Loss_D: -0.025144 Loss_G: -0.000693 Loss_D_real: -0.006014 Loss_D_fake 0.019131
[644/5000][100/535][66235] Loss_D: -0.022560 Loss_G: 0.029246 Loss_D_real: -0.023199 Loss_D_fake -0.000639
[644/5000][105/535][66236] Loss_D: -0.025121 Loss_G: 0.021262 Loss_D_real: -0.022947 Loss_D_fake 0.002173
[644/5000][110/535][66237] Loss_D: -0.023866 Loss_G: 0.018046 Loss_D_real: -0.015054 Loss_D_fake 0.008812
[644/5000][115/535][66238] Loss_D: -0.024432 Loss_G: 0.005896 Loss_D_real: -0.002216 Loss_D_fake 0.022216
[644/5000][120/535][66239] Loss_D: -0.024668 Loss_G: 0.003191 Loss_D_real: 0.002519 Loss_D_fake 0.027187
[644/5000][125/535][66240] Loss_D: -0.024408 Loss_G: 0.020756 Loss_D_real: -0.018709 Loss_D_fake 0.005699
[644/5000][130/535][66241] Loss_D: -0.023503 Loss_G: 0.028275 Loss_D_real: -0.026217 Loss_D_fake -0.002714
[644/5000][135/535][66242] Loss_D: -0.024307 Loss_G: 0.019356 Loss_D_real: -0.013929 Loss_D_fake 0.010379
[644/5000][140/535][66243] Loss_D: -0.023691 Loss_G: -0.003264 Loss_D_real: -0.000967 Loss_D_fake 0.022724
[644/5000][145/535][66244] Loss_D: -0.023644 Loss_G: 0.003507 Loss_D_real: -0.003341 Loss_D_fake 0.020303
[644/5000][150/535][66245] Loss_D: -0.025294 Loss_G: 0.016714 Loss_D_real: -0.018209 Loss_D_fake 0.007086
[644/5000][155/535][66246] Loss_D: -0.023996 Loss_G: 0.013625 Loss_D_real: -0.013645 Loss_D_fake 0.010351
[644/5000][160/535][66247] Loss_D: -0.023692 Loss_G: 0.011623 Loss_D_real: -0.010341 Loss_D_fake 0.013350
[644/5000][165/535][66248] Loss_D: -0.025506 Loss_G: -0.004887 Loss_D_real: -0.005318 Loss_D_fake 0.020188
[644/5000][170/535][66249] Loss_D: -0.024331 Loss_G: 0.002413 Loss_D_real: -0.001765 Loss_D_fake 0.022566
[644/5000][175/535][66250] Loss_D: -0.024869 Loss_G: 0.014443 Loss_D_real: -0.015037 Loss_D_fake 0.009832
[644/5000][180/535][66251] Loss_D: -0.024412 Loss_G: 0.000126 Loss_D_real: -0.009049 Loss_D_fake 0.015363
[644/5000][185/535][66252] Loss_D: -0.024465 Loss_G: 0.007498 Loss_D_real: -0.005842 Loss_D_fake 0.018623
[644/5000][190/535][66253] Loss_D: -0.022227 Loss_G: 0.042511 Loss_D_real: -0.031889 Loss_D_fake -0.009662
[644/5000][195/535][66254] Loss_D: -0.023192 Loss_G: 0.016421 Loss_D_real: -0.010197 Loss_D_fake 0.012995
[644/5000][200/535][66255] Loss_D: -0.022682 Loss_G: 0.031027 Loss_D_real: -0.022667 Loss_D_fake 0.000015
[644/5000][205/535][66256] Loss_D: -0.025035 Loss_G: -0.000316 Loss_D_real: -0.010647 Loss_D_fake 0.014387
[644/5000][210/535][66257] Loss_D: -0.023274 Loss_G: 0.006324 Loss_D_real: -0.004681 Loss_D_fake 0.018593
[644/5000][215/535][66258] Loss_D: -0.022677 Loss_G: 0.031815 Loss_D_real: -0.038768 Loss_D_fake -0.016091
[644/5000][220/535][66259] Loss_D: -0.025004 Loss_G: 0.035837 Loss_D_real: -0.022526 Loss_D_fake 0.002477
[644/5000][225/535][66260] Loss_D: -0.024397 Loss_G: 0.004333 Loss_D_real: -0.014024 Loss_D_fake 0.010373
[644/5000][230/535][66261] Loss_D: -0.024158 Loss_G: 0.034001 Loss_D_real: -0.016579 Loss_D_fake 0.007579
[644/5000][235/535][66262] Loss_D: -0.023456 Loss_G: -0.008121 Loss_D_real: 0.007071 Loss_D_fake 0.030528
[644/5000][240/535][66263] Loss_D: -0.021135 Loss_G: 0.039790 Loss_D_real: -0.032318 Loss_D_fake -0.011183
[644/5000][245/535][66264] Loss_D: -0.023638 Loss_G: 0.021646 Loss_D_real: -0.028351 Loss_D_fake -0.004713
[644/5000][250/535][66265] Loss_D: -0.025293 Loss_G: 0.003792 Loss_D_real: -0.020641 Loss_D_fake 0.004652
[644/5000][255/535][66266] Loss_D: -0.024261 Loss_G: 0.010767 Loss_D_real: -0.023461 Loss_D_fake 0.000800
[644/5000][260/535][66267] Loss_D: -0.025300 Loss_G: 0.029999 Loss_D_real: -0.019105 Loss_D_fake 0.006195
[644/5000][265/535][66268] Loss_D: -0.022689 Loss_G: -0.013576 Loss_D_real: -0.000448 Loss_D_fake 0.022242
[644/5000][270/535][66269] Loss_D: -0.023028 Loss_G: -0.000404 Loss_D_real: -0.007593 Loss_D_fake 0.015435
[644/5000][275/535][66270] Loss_D: -0.023042 Loss_G: 0.019851 Loss_D_real: -0.023186 Loss_D_fake -0.000144
[644/5000][280/535][66271] Loss_D: -0.023830 Loss_G: -0.002151 Loss_D_real: -0.009031 Loss_D_fake 0.014800
[644/5000][285/535][66272] Loss_D: -0.022137 Loss_G: 0.028933 Loss_D_real: -0.032187 Loss_D_fake -0.010051
[644/5000][290/535][66273] Loss_D: -0.024513 Loss_G: 0.025332 Loss_D_real: -0.018505 Loss_D_fake 0.006008
[644/5000][295/535][66274] Loss_D: -0.024565 Loss_G: 0.004626 Loss_D_real: -0.003648 Loss_D_fake 0.020917
[644/5000][300/535][66275] Loss_D: -0.024229 Loss_G: -0.002543 Loss_D_real: 0.003542 Loss_D_fake 0.027771
[644/5000][305/535][66276] Loss_D: -0.023747 Loss_G: -0.005971 Loss_D_real: -0.008566 Loss_D_fake 0.015180
[644/5000][310/535][66277] Loss_D: -0.025131 Loss_G: 0.020954 Loss_D_real: -0.029014 Loss_D_fake -0.003882
[644/5000][315/535][66278] Loss_D: -0.023886 Loss_G: 0.017951 Loss_D_real: -0.021732 Loss_D_fake 0.002154
[644/5000][320/535][66279] Loss_D: -0.025375 Loss_G: 0.016120 Loss_D_real: -0.008466 Loss_D_fake 0.016909
[644/5000][325/535][66280] Loss_D: -0.024622 Loss_G: 0.032500 Loss_D_real: -0.028537 Loss_D_fake -0.003915
[644/5000][330/535][66281] Loss_D: -0.024599 Loss_G: 0.027571 Loss_D_real: -0.026056 Loss_D_fake -0.001457
[644/5000][335/535][66282] Loss_D: -0.025138 Loss_G: 0.003269 Loss_D_real: -0.013208 Loss_D_fake 0.011930
[644/5000][340/535][66283] Loss_D: -0.024708 Loss_G: -0.000843 Loss_D_real: 0.000836 Loss_D_fake 0.025543
[644/5000][345/535][66284] Loss_D: -0.023545 Loss_G: 0.029290 Loss_D_real: -0.025904 Loss_D_fake -0.002359
[644/5000][350/535][66285] Loss_D: -0.025084 Loss_G: 0.025532 Loss_D_real: -0.022286 Loss_D_fake 0.002798
[644/5000][355/535][66286] Loss_D: -0.024745 Loss_G: 0.007710 Loss_D_real: -0.020536 Loss_D_fake 0.004208
[644/5000][360/535][66287] Loss_D: -0.024387 Loss_G: 0.009667 Loss_D_real: -0.005530 Loss_D_fake 0.018857
[644/5000][365/535][66288] Loss_D: -0.023342 Loss_G: 0.006435 Loss_D_real: -0.016030 Loss_D_fake 0.007312
[644/5000][370/535][66289] Loss_D: -0.023020 Loss_G: 0.028251 Loss_D_real: -0.020462 Loss_D_fake 0.002557
[644/5000][375/535][66290] Loss_D: -0.024239 Loss_G: 0.024814 Loss_D_real: -0.013845 Loss_D_fake 0.010394
[644/5000][380/535][66291] Loss_D: -0.024030 Loss_G: 0.004964 Loss_D_real: -0.004310 Loss_D_fake 0.019720
[644/5000][385/535][66292] Loss_D: -0.024587 Loss_G: 0.017215 Loss_D_real: -0.022797 Loss_D_fake 0.001790
[644/5000][390/535][66293] Loss_D: -0.023155 Loss_G: 0.023512 Loss_D_real: -0.019506 Loss_D_fake 0.003649
[644/5000][395/535][66294] Loss_D: -0.023670 Loss_G: -0.001756 Loss_D_real: -0.019850 Loss_D_fake 0.003820
[644/5000][400/535][66295] Loss_D: -0.024007 Loss_G: 0.018253 Loss_D_real: -0.021889 Loss_D_fake 0.002118
[644/5000][405/535][66296] Loss_D: -0.023064 Loss_G: 0.039557 Loss_D_real: -0.019274 Loss_D_fake 0.003790
[644/5000][410/535][66297] Loss_D: -0.023343 Loss_G: 0.000527 Loss_D_real: -0.007214 Loss_D_fake 0.016129
[644/5000][415/535][66298] Loss_D: -0.023074 Loss_G: 0.014811 Loss_D_real: -0.009455 Loss_D_fake 0.013620
[644/5000][420/535][66299] Loss_D: -0.024536 Loss_G: 0.004177 Loss_D_real: -0.013866 Loss_D_fake 0.010670
[644/5000][425/535][66300] Loss_D: -0.022688 Loss_G: 0.029848 Loss_D_real: -0.027965 Loss_D_fake -0.005277
[644/5000][430/535][66301] Loss_D: -0.023866 Loss_G: 0.012319 Loss_D_real: -0.012161 Loss_D_fake 0.011704
[644/5000][435/535][66302] Loss_D: -0.023769 Loss_G: 0.023667 Loss_D_real: -0.012693 Loss_D_fake 0.011076
[644/5000][440/535][66303] Loss_D: -0.024098 Loss_G: 0.026849 Loss_D_real: -0.022349 Loss_D_fake 0.001749
[644/5000][445/535][66304] Loss_D: -0.023427 Loss_G: 0.019788 Loss_D_real: -0.015439 Loss_D_fake 0.007988
[644/5000][450/535][66305] Loss_D: -0.024490 Loss_G: -0.010503 Loss_D_real: -0.001673 Loss_D_fake 0.022817
[644/5000][455/535][66306] Loss_D: -0.023507 Loss_G: 0.024208 Loss_D_real: -0.026015 Loss_D_fake -0.002508
[644/5000][460/535][66307] Loss_D: -0.023585 Loss_G: 0.030362 Loss_D_real: -0.030779 Loss_D_fake -0.007194
[644/5000][465/535][66308] Loss_D: -0.024442 Loss_G: 0.004051 Loss_D_real: -0.018931 Loss_D_fake 0.005511
[644/5000][470/535][66309] Loss_D: -0.026082 Loss_G: 0.021410 Loss_D_real: -0.008515 Loss_D_fake 0.017567
[644/5000][475/535][66310] Loss_D: -0.024979 Loss_G: 0.010539 Loss_D_real: -0.007543 Loss_D_fake 0.017435
[644/5000][480/535][66311] Loss_D: -0.024424 Loss_G: 0.017552 Loss_D_real: -0.019087 Loss_D_fake 0.005337
[644/5000][485/535][66312] Loss_D: -0.024288 Loss_G: 0.019911 Loss_D_real: -0.015165 Loss_D_fake 0.009123
[644/5000][490/535][66313] Loss_D: -0.024711 Loss_G: 0.014213 Loss_D_real: -0.015012 Loss_D_fake 0.009699
[644/5000][495/535][66314] Loss_D: -0.024326 Loss_G: 0.028088 Loss_D_real: -0.021544 Loss_D_fake 0.002782
[644/5000][500/535][66315] Loss_D: -0.024924 Loss_G: 0.028078 Loss_D_real: -0.022617 Loss_D_fake 0.002307
[644/5000][505/535][66316] Loss_D: -0.024961 Loss_G: 0.022684 Loss_D_real: -0.018547 Loss_D_fake 0.006414
[644/5000][510/535][66317] Loss_D: -0.023683 Loss_G: 0.027581 Loss_D_real: -0.027956 Loss_D_fake -0.004272
[644/5000][515/535][66318] Loss_D: -0.024012 Loss_G: 0.032267 Loss_D_real: -0.031668 Loss_D_fake -0.007656
[644/5000][520/535][66319] Loss_D: -0.024332 Loss_G: 0.033374 Loss_D_real: -0.032897 Loss_D_fake -0.008564
[644/5000][525/535][66320] Loss_D: -0.024113 Loss_G: 0.009473 Loss_D_real: -0.019672 Loss_D_fake 0.004441
[644/5000][530/535][66321] Loss_D: -0.024258 Loss_G: 0.016407 Loss_D_real: -0.012652 Loss_D_fake 0.011606
[644/5000][535/535][66322] Loss_D: -0.027282 Loss_G: -0.000919 Loss_D_real: -0.013088 Loss_D_fake 0.014194
[645/5000][5/535][66323] Loss_D: -0.024127 Loss_G: 0.032986 Loss_D_real: -0.031093 Loss_D_fake -0.006966
[645/5000][10/535][66324] Loss_D: -0.023256 Loss_G: 0.017064 Loss_D_real: -0.015544 Loss_D_fake 0.007712
[645/5000][15/535][66325] Loss_D: -0.024302 Loss_G: 0.008336 Loss_D_real: -0.015337 Loss_D_fake 0.008965
[645/5000][20/535][66326] Loss_D: -0.023284 Loss_G: 0.020111 Loss_D_real: -0.027454 Loss_D_fake -0.004170
[645/5000][25/535][66327] Loss_D: -0.023860 Loss_G: 0.019793 Loss_D_real: -0.024950 Loss_D_fake -0.001090
[645/5000][30/535][66328] Loss_D: -0.023616 Loss_G: 0.020748 Loss_D_real: -0.020909 Loss_D_fake 0.002707
[645/5000][35/535][66329] Loss_D: -0.024622 Loss_G: 0.011346 Loss_D_real: -0.005181 Loss_D_fake 0.019442
[645/5000][40/535][66330] Loss_D: -0.024488 Loss_G: 0.019414 Loss_D_real: -0.005464 Loss_D_fake 0.019024
[645/5000][45/535][66331] Loss_D: -0.025003 Loss_G: 0.018009 Loss_D_real: -0.011928 Loss_D_fake 0.013075
[645/5000][50/535][66332] Loss_D: -0.024854 Loss_G: 0.001982 Loss_D_real: -0.014991 Loss_D_fake 0.009863
[645/5000][55/535][66333] Loss_D: -0.023714 Loss_G: 0.019465 Loss_D_real: -0.028159 Loss_D_fake -0.004445
[645/5000][60/535][66334] Loss_D: -0.023952 Loss_G: -0.009198 Loss_D_real: 0.004945 Loss_D_fake 0.028897
[645/5000][65/535][66335] Loss_D: -0.023588 Loss_G: 0.031190 Loss_D_real: -0.025155 Loss_D_fake -0.001566
[645/5000][70/535][66336] Loss_D: -0.023640 Loss_G: 0.001879 Loss_D_real: -0.005460 Loss_D_fake 0.018179
[645/5000][75/535][66337] Loss_D: -0.023787 Loss_G: 0.027494 Loss_D_real: -0.019943 Loss_D_fake 0.003843
[645/5000][80/535][66338] Loss_D: -0.025468 Loss_G: 0.023695 Loss_D_real: -0.027003 Loss_D_fake -0.001535
[645/5000][85/535][66339] Loss_D: -0.024803 Loss_G: 0.022308 Loss_D_real: -0.011296 Loss_D_fake 0.013507
[645/5000][90/535][66340] Loss_D: -0.024741 Loss_G: 0.006774 Loss_D_real: -0.008215 Loss_D_fake 0.016526
[645/5000][95/535][66341] Loss_D: -0.024211 Loss_G: 0.008613 Loss_D_real: -0.007088 Loss_D_fake 0.017123
[645/5000][100/535][66342] Loss_D: -0.024587 Loss_G: 0.024686 Loss_D_real: -0.016431 Loss_D_fake 0.008156
[645/5000][105/535][66343] Loss_D: -0.025639 Loss_G: 0.015475 Loss_D_real: -0.014896 Loss_D_fake 0.010744
[645/5000][110/535][66344] Loss_D: -0.024414 Loss_G: 0.002354 Loss_D_real: -0.005205 Loss_D_fake 0.019209
[645/5000][115/535][66345] Loss_D: -0.023984 Loss_G: 0.031274 Loss_D_real: -0.028396 Loss_D_fake -0.004411
[645/5000][120/535][66346] Loss_D: -0.024974 Loss_G: -0.003945 Loss_D_real: 0.010661 Loss_D_fake 0.035635
[645/5000][125/535][66347] Loss_D: -0.024504 Loss_G: 0.016298 Loss_D_real: -0.015285 Loss_D_fake 0.009219
[645/5000][130/535][66348] Loss_D: -0.024843 Loss_G: 0.011746 Loss_D_real: -0.020394 Loss_D_fake 0.004448
[645/5000][135/535][66349] Loss_D: -0.023674 Loss_G: 0.023451 Loss_D_real: -0.020485 Loss_D_fake 0.003189
[645/5000][140/535][66350] Loss_D: -0.024159 Loss_G: -0.000240 Loss_D_real: 0.008073 Loss_D_fake 0.032232
[645/5000][145/535][66351] Loss_D: -0.024894 Loss_G: 0.004440 Loss_D_real: -0.011546 Loss_D_fake 0.013348
[645/5000][150/535][66352] Loss_D: -0.023636 Loss_G: 0.009303 Loss_D_real: -0.012382 Loss_D_fake 0.011254
[645/5000][155/535][66353] Loss_D: -0.024869 Loss_G: 0.021651 Loss_D_real: -0.014467 Loss_D_fake 0.010402
[645/5000][160/535][66354] Loss_D: -0.024736 Loss_G: 0.028095 Loss_D_real: -0.020750 Loss_D_fake 0.003987
[645/5000][165/535][66355] Loss_D: -0.024580 Loss_G: 0.023720 Loss_D_real: -0.021742 Loss_D_fake 0.002837
[645/5000][170/535][66356] Loss_D: -0.025243 Loss_G: 0.013844 Loss_D_real: -0.011827 Loss_D_fake 0.013416
[645/5000][175/535][66357] Loss_D: -0.023957 Loss_G: -0.005453 Loss_D_real: 0.000644 Loss_D_fake 0.024601
[645/5000][180/535][66358] Loss_D: -0.024658 Loss_G: 0.009542 Loss_D_real: -0.009421 Loss_D_fake 0.015237
[645/5000][185/535][66359] Loss_D: -0.024133 Loss_G: 0.002523 Loss_D_real: -0.011510 Loss_D_fake 0.012623
[645/5000][190/535][66360] Loss_D: -0.025673 Loss_G: 0.006367 Loss_D_real: -0.006029 Loss_D_fake 0.019644
[645/5000][195/535][66361] Loss_D: -0.023544 Loss_G: 0.022194 Loss_D_real: -0.022257 Loss_D_fake 0.001287
[645/5000][200/535][66362] Loss_D: -0.024806 Loss_G: 0.005259 Loss_D_real: -0.002256 Loss_D_fake 0.022550
[645/5000][205/535][66363] Loss_D: -0.023481 Loss_G: -0.005757 Loss_D_real: -0.002837 Loss_D_fake 0.020645
[645/5000][210/535][66364] Loss_D: -0.022844 Loss_G: 0.022804 Loss_D_real: -0.016633 Loss_D_fake 0.006211
[645/5000][215/535][66365] Loss_D: -0.023309 Loss_G: 0.002635 Loss_D_real: 0.001933 Loss_D_fake 0.025242
[645/5000][220/535][66366] Loss_D: -0.024906 Loss_G: 0.011629 Loss_D_real: -0.011898 Loss_D_fake 0.013008
[645/5000][225/535][66367] Loss_D: -0.023967 Loss_G: 0.015530 Loss_D_real: -0.016717 Loss_D_fake 0.007250
[645/5000][230/535][66368] Loss_D: -0.024298 Loss_G: -0.006423 Loss_D_real: -0.007271 Loss_D_fake 0.017027
[645/5000][235/535][66369] Loss_D: -0.025289 Loss_G: 0.024945 Loss_D_real: -0.005790 Loss_D_fake 0.019499
[645/5000][240/535][66370] Loss_D: -0.024165 Loss_G: 0.000705 Loss_D_real: -0.011840 Loss_D_fake 0.012325
[645/5000][245/535][66371] Loss_D: -0.024282 Loss_G: 0.027727 Loss_D_real: -0.027180 Loss_D_fake -0.002898
[645/5000][250/535][66372] Loss_D: -0.024441 Loss_G: 0.021349 Loss_D_real: -0.022727 Loss_D_fake 0.001714
[645/5000][255/535][66373] Loss_D: -0.023656 Loss_G: 0.013678 Loss_D_real: -0.008657 Loss_D_fake 0.014998
[645/5000][260/535][66374] Loss_D: -0.024429 Loss_G: 0.019272 Loss_D_real: -0.015214 Loss_D_fake 0.009215
[645/5000][265/535][66375] Loss_D: -0.025529 Loss_G: 0.020599 Loss_D_real: -0.018031 Loss_D_fake 0.007498
[645/5000][270/535][66376] Loss_D: -0.023892 Loss_G: 0.006481 Loss_D_real: -0.009259 Loss_D_fake 0.014633
[645/5000][275/535][66377] Loss_D: -0.022803 Loss_G: 0.017520 Loss_D_real: -0.016482 Loss_D_fake 0.006321
[645/5000][280/535][66378] Loss_D: -0.023903 Loss_G: 0.010673 Loss_D_real: -0.013861 Loss_D_fake 0.010041
[645/5000][285/535][66379] Loss_D: -0.024383 Loss_G: -0.005027 Loss_D_real: -0.008974 Loss_D_fake 0.015409
[645/5000][290/535][66380] Loss_D: -0.024262 Loss_G: 0.022998 Loss_D_real: -0.029570 Loss_D_fake -0.005309
[645/5000][295/535][66381] Loss_D: -0.023737 Loss_G: 0.024767 Loss_D_real: -0.028699 Loss_D_fake -0.004963
[645/5000][300/535][66382] Loss_D: -0.025236 Loss_G: 0.023137 Loss_D_real: -0.019981 Loss_D_fake 0.005255
[645/5000][305/535][66383] Loss_D: -0.023641 Loss_G: 0.033092 Loss_D_real: -0.020066 Loss_D_fake 0.003574
[645/5000][310/535][66384] Loss_D: -0.025348 Loss_G: 0.013652 Loss_D_real: -0.019523 Loss_D_fake 0.005824
[645/5000][315/535][66385] Loss_D: -0.025062 Loss_G: 0.004604 Loss_D_real: -0.012710 Loss_D_fake 0.012352
[645/5000][320/535][66386] Loss_D: -0.024768 Loss_G: 0.015434 Loss_D_real: -0.022636 Loss_D_fake 0.002132
[645/5000][325/535][66387] Loss_D: -0.025453 Loss_G: -0.004469 Loss_D_real: 0.003809 Loss_D_fake 0.029262
[645/5000][330/535][66388] Loss_D: -0.025290 Loss_G: 0.017570 Loss_D_real: -0.016407 Loss_D_fake 0.008883
[645/5000][335/535][66389] Loss_D: -0.024889 Loss_G: 0.010468 Loss_D_real: -0.015518 Loss_D_fake 0.009370
[645/5000][340/535][66390] Loss_D: -0.025764 Loss_G: 0.010996 Loss_D_real: -0.010505 Loss_D_fake 0.015259
[645/5000][345/535][66391] Loss_D: -0.025047 Loss_G: 0.005974 Loss_D_real: 0.005814 Loss_D_fake 0.030861
[645/5000][350/535][66392] Loss_D: -0.024139 Loss_G: 0.015667 Loss_D_real: -0.003120 Loss_D_fake 0.021019
[645/5000][355/535][66393] Loss_D: -0.024053 Loss_G: 0.007188 Loss_D_real: -0.017028 Loss_D_fake 0.007025
[645/5000][360/535][66394] Loss_D: -0.022735 Loss_G: 0.014808 Loss_D_real: -0.019686 Loss_D_fake 0.003049
[645/5000][365/535][66395] Loss_D: -0.023706 Loss_G: -0.004798 Loss_D_real: 0.005655 Loss_D_fake 0.029361
[645/5000][370/535][66396] Loss_D: -0.024057 Loss_G: 0.010151 Loss_D_real: -0.008349 Loss_D_fake 0.015707
[645/5000][375/535][66397] Loss_D: -0.024030 Loss_G: -0.002570 Loss_D_real: -0.001559 Loss_D_fake 0.022471
[645/5000][380/535][66398] Loss_D: -0.023236 Loss_G: 0.022481 Loss_D_real: -0.015920 Loss_D_fake 0.007316
[645/5000][385/535][66399] Loss_D: -0.023543 Loss_G: 0.021812 Loss_D_real: -0.020590 Loss_D_fake 0.002953
[645/5000][390/535][66400] Loss_D: -0.023744 Loss_G: 0.008650 Loss_D_real: -0.008170 Loss_D_fake 0.015573
[645/5000][395/535][66401] Loss_D: -0.023589 Loss_G: 0.006562 Loss_D_real: -0.010373 Loss_D_fake 0.013215
[645/5000][400/535][66402] Loss_D: -0.026012 Loss_G: 0.015479 Loss_D_real: -0.016481 Loss_D_fake 0.009531
[645/5000][405/535][66403] Loss_D: -0.024674 Loss_G: 0.024473 Loss_D_real: -0.017924 Loss_D_fake 0.006750
[645/5000][410/535][66404] Loss_D: -0.025386 Loss_G: 0.005297 Loss_D_real: -0.001071 Loss_D_fake 0.024315
[645/5000][415/535][66405] Loss_D: -0.025468 Loss_G: 0.009772 Loss_D_real: -0.016274 Loss_D_fake 0.009193
[645/5000][420/535][66406] Loss_D: -0.024546 Loss_G: 0.015616 Loss_D_real: -0.013849 Loss_D_fake 0.010697
[645/5000][425/535][66407] Loss_D: -0.026021 Loss_G: 0.017537 Loss_D_real: -0.013055 Loss_D_fake 0.012966
[645/5000][430/535][66408] Loss_D: -0.025844 Loss_G: 0.016776 Loss_D_real: -0.014735 Loss_D_fake 0.011109
[645/5000][435/535][66409] Loss_D: -0.024821 Loss_G: 0.005424 Loss_D_real: -0.012539 Loss_D_fake 0.012282
[645/5000][440/535][66410] Loss_D: -0.022823 Loss_G: 0.034736 Loss_D_real: -0.037666 Loss_D_fake -0.014844
[645/5000][445/535][66411] Loss_D: -0.024264 Loss_G: -0.004832 Loss_D_real: -0.005898 Loss_D_fake 0.018365
[645/5000][450/535][66412] Loss_D: -0.024284 Loss_G: 0.001598 Loss_D_real: -0.005613 Loss_D_fake 0.018671
[645/5000][455/535][66413] Loss_D: -0.023962 Loss_G: 0.020391 Loss_D_real: -0.019441 Loss_D_fake 0.004521
[645/5000][460/535][66414] Loss_D: -0.024255 Loss_G: 0.017001 Loss_D_real: -0.026466 Loss_D_fake -0.002211
[645/5000][465/535][66415] Loss_D: -0.024699 Loss_G: 0.033795 Loss_D_real: -0.021894 Loss_D_fake 0.002805
[645/5000][470/535][66416] Loss_D: -0.024457 Loss_G: 0.028597 Loss_D_real: -0.032264 Loss_D_fake -0.007807
[645/5000][475/535][66417] Loss_D: -0.023724 Loss_G: -0.006516 Loss_D_real: -0.002509 Loss_D_fake 0.021216
[645/5000][480/535][66418] Loss_D: -0.023268 Loss_G: 0.004931 Loss_D_real: -0.008692 Loss_D_fake 0.014576
[645/5000][485/535][66419] Loss_D: -0.022882 Loss_G: 0.000704 Loss_D_real: 0.007103 Loss_D_fake 0.029985
[645/5000][490/535][66420] Loss_D: -0.023699 Loss_G: 0.020493 Loss_D_real: -0.022149 Loss_D_fake 0.001550
[645/5000][495/535][66421] Loss_D: -0.023771 Loss_G: -0.000865 Loss_D_real: -0.005855 Loss_D_fake 0.017916
[645/5000][500/535][66422] Loss_D: -0.023480 Loss_G: 0.004780 Loss_D_real: -0.014217 Loss_D_fake 0.009262
[645/5000][505/535][66423] Loss_D: -0.022030 Loss_G: 0.025127 Loss_D_real: -0.031889 Loss_D_fake -0.009859
[645/5000][510/535][66424] Loss_D: -0.024565 Loss_G: 0.016908 Loss_D_real: -0.009576 Loss_D_fake 0.014989
[645/5000][515/535][66425] Loss_D: -0.023727 Loss_G: 0.029082 Loss_D_real: -0.025933 Loss_D_fake -0.002206
[645/5000][520/535][66426] Loss_D: -0.023919 Loss_G: -0.014586 Loss_D_real: 0.001557 Loss_D_fake 0.025476
[645/5000][525/535][66427] Loss_D: -0.023381 Loss_G: 0.020479 Loss_D_real: -0.025596 Loss_D_fake -0.002215
[645/5000][530/535][66428] Loss_D: -0.024593 Loss_G: 0.005445 Loss_D_real: -0.018718 Loss_D_fake 0.005875
[645/5000][535/535][66429] Loss_D: -0.025671 Loss_G: 0.009849 Loss_D_real: -0.024226 Loss_D_fake 0.001445
[646/5000][5/535][66430] Loss_D: -0.024141 Loss_G: 0.019910 Loss_D_real: -0.016660 Loss_D_fake 0.007482
[646/5000][10/535][66431] Loss_D: -0.025130 Loss_G: 0.022983 Loss_D_real: -0.008639 Loss_D_fake 0.016492
[646/5000][15/535][66432] Loss_D: -0.023686 Loss_G: 0.014803 Loss_D_real: -0.011255 Loss_D_fake 0.012432
[646/5000][20/535][66433] Loss_D: -0.024309 Loss_G: -0.004930 Loss_D_real: 0.003354 Loss_D_fake 0.027663
[646/5000][25/535][66434] Loss_D: -0.022840 Loss_G: 0.025268 Loss_D_real: -0.034776 Loss_D_fake -0.011937
[646/5000][30/535][66435] Loss_D: -0.024484 Loss_G: 0.011466 Loss_D_real: -0.004761 Loss_D_fake 0.019723
[646/5000][35/535][66436] Loss_D: -0.024397 Loss_G: 0.025866 Loss_D_real: -0.023562 Loss_D_fake 0.000835
[646/5000][40/535][66437] Loss_D: -0.022603 Loss_G: 0.036018 Loss_D_real: -0.030913 Loss_D_fake -0.008310
[646/5000][45/535][66438] Loss_D: -0.025400 Loss_G: 0.008722 Loss_D_real: -0.013649 Loss_D_fake 0.011750
[646/5000][50/535][66439] Loss_D: -0.025548 Loss_G: 0.008807 Loss_D_real: -0.011663 Loss_D_fake 0.013885
[646/5000][55/535][66440] Loss_D: -0.023296 Loss_G: 0.003457 Loss_D_real: -0.008838 Loss_D_fake 0.014458
[646/5000][60/535][66441] Loss_D: -0.024441 Loss_G: 0.014272 Loss_D_real: -0.019190 Loss_D_fake 0.005251
[646/5000][65/535][66442] Loss_D: -0.022923 Loss_G: 0.031637 Loss_D_real: -0.027866 Loss_D_fake -0.004943
[646/5000][70/535][66443] Loss_D: -0.024773 Loss_G: 0.008255 Loss_D_real: -0.013599 Loss_D_fake 0.011174
[646/5000][75/535][66444] Loss_D: -0.023979 Loss_G: 0.003549 Loss_D_real: -0.008033 Loss_D_fake 0.015946
[646/5000][80/535][66445] Loss_D: -0.023956 Loss_G: 0.003729 Loss_D_real: -0.013481 Loss_D_fake 0.010475
[646/5000][85/535][66446] Loss_D: -0.023082 Loss_G: -0.018442 Loss_D_real: 0.003151 Loss_D_fake 0.026234
[646/5000][90/535][66447] Loss_D: -0.023669 Loss_G: 0.018035 Loss_D_real: -0.023868 Loss_D_fake -0.000200
[646/5000][95/535][66448] Loss_D: -0.023623 Loss_G: 0.013607 Loss_D_real: -0.006570 Loss_D_fake 0.017053
[646/5000][100/535][66449] Loss_D: -0.025138 Loss_G: 0.011583 Loss_D_real: -0.013372 Loss_D_fake 0.011766
[646/5000][105/535][66450] Loss_D: -0.025050 Loss_G: 0.014214 Loss_D_real: -0.010489 Loss_D_fake 0.014560
[646/5000][110/535][66451] Loss_D: -0.024754 Loss_G: 0.006103 Loss_D_real: -0.007704 Loss_D_fake 0.017050
[646/5000][115/535][66452] Loss_D: -0.023872 Loss_G: 0.010038 Loss_D_real: -0.021695 Loss_D_fake 0.002177
[646/5000][120/535][66453] Loss_D: -0.025375 Loss_G: 0.028872 Loss_D_real: -0.024116 Loss_D_fake 0.001259
[646/5000][125/535][66454] Loss_D: -0.023344 Loss_G: 0.004213 Loss_D_real: -0.002367 Loss_D_fake 0.020977
[646/5000][130/535][66455] Loss_D: -0.024193 Loss_G: 0.016549 Loss_D_real: -0.016694 Loss_D_fake 0.007498
[646/5000][135/535][66456] Loss_D: -0.023774 Loss_G: 0.023090 Loss_D_real: -0.038314 Loss_D_fake -0.014539
[646/5000][140/535][66457] Loss_D: -0.024930 Loss_G: 0.031150 Loss_D_real: -0.030672 Loss_D_fake -0.005742
[646/5000][145/535][66458] Loss_D: -0.024810 Loss_G: 0.000432 Loss_D_real: -0.007581 Loss_D_fake 0.017229
[646/5000][150/535][66459] Loss_D: -0.023765 Loss_G: 0.006728 Loss_D_real: -0.003260 Loss_D_fake 0.020505
[646/5000][155/535][66460] Loss_D: -0.024086 Loss_G: 0.024749 Loss_D_real: -0.020535 Loss_D_fake 0.003551
[646/5000][160/535][66461] Loss_D: -0.024844 Loss_G: -0.000102 Loss_D_real: -0.004511 Loss_D_fake 0.020333
[646/5000][165/535][66462] Loss_D: -0.023975 Loss_G: -0.005054 Loss_D_real: 0.001875 Loss_D_fake 0.025849
[646/5000][170/535][66463] Loss_D: -0.024120 Loss_G: 0.012248 Loss_D_real: -0.015140 Loss_D_fake 0.008979
[646/5000][175/535][66464] Loss_D: -0.023113 Loss_G: -0.009149 Loss_D_real: -0.003098 Loss_D_fake 0.020015
[646/5000][180/535][66465] Loss_D: -0.023284 Loss_G: 0.023462 Loss_D_real: -0.018370 Loss_D_fake 0.004914
[646/5000][185/535][66466] Loss_D: -0.024798 Loss_G: 0.015165 Loss_D_real: -0.016906 Loss_D_fake 0.007893
[646/5000][190/535][66467] Loss_D: -0.023818 Loss_G: 0.008031 Loss_D_real: -0.017474 Loss_D_fake 0.006344
[646/5000][195/535][66468] Loss_D: -0.025030 Loss_G: 0.011061 Loss_D_real: -0.010675 Loss_D_fake 0.014355
[646/5000][200/535][66469] Loss_D: -0.023529 Loss_G: 0.017164 Loss_D_real: -0.024070 Loss_D_fake -0.000541
[646/5000][205/535][66470] Loss_D: -0.023805 Loss_G: 0.009120 Loss_D_real: -0.023575 Loss_D_fake 0.000230
[646/5000][210/535][66471] Loss_D: -0.025028 Loss_G: 0.027759 Loss_D_real: -0.022917 Loss_D_fake 0.002111
[646/5000][215/535][66472] Loss_D: -0.025650 Loss_G: 0.037888 Loss_D_real: -0.026189 Loss_D_fake -0.000539
[646/5000][220/535][66473] Loss_D: -0.023241 Loss_G: 0.033666 Loss_D_real: -0.028529 Loss_D_fake -0.005288
[646/5000][225/535][66474] Loss_D: -0.024535 Loss_G: 0.002451 Loss_D_real: -0.011748 Loss_D_fake 0.012786
[646/5000][230/535][66475] Loss_D: -0.024896 Loss_G: 0.004083 Loss_D_real: -0.004441 Loss_D_fake 0.020455
[646/5000][235/535][66476] Loss_D: -0.024101 Loss_G: 0.010193 Loss_D_real: -0.009860 Loss_D_fake 0.014241
[646/5000][240/535][66477] Loss_D: -0.024074 Loss_G: 0.000960 Loss_D_real: -0.002869 Loss_D_fake 0.021206
[646/5000][245/535][66478] Loss_D: -0.025174 Loss_G: 0.021915 Loss_D_real: -0.010708 Loss_D_fake 0.014466
[646/5000][250/535][66479] Loss_D: -0.023950 Loss_G: 0.012095 Loss_D_real: -0.014252 Loss_D_fake 0.009699
[646/5000][255/535][66480] Loss_D: -0.024757 Loss_G: 0.014111 Loss_D_real: -0.009696 Loss_D_fake 0.015061
[646/5000][260/535][66481] Loss_D: -0.024546 Loss_G: 0.011276 Loss_D_real: -0.012671 Loss_D_fake 0.011875
[646/5000][265/535][66482] Loss_D: -0.026259 Loss_G: 0.025517 Loss_D_real: -0.020060 Loss_D_fake 0.006198
[646/5000][270/535][66483] Loss_D: -0.024141 Loss_G: 0.020122 Loss_D_real: -0.022842 Loss_D_fake 0.001300
[646/5000][275/535][66484] Loss_D: -0.024847 Loss_G: 0.011716 Loss_D_real: -0.010161 Loss_D_fake 0.014685
[646/5000][280/535][66485] Loss_D: -0.024221 Loss_G: 0.023103 Loss_D_real: -0.022278 Loss_D_fake 0.001943
[646/5000][285/535][66486] Loss_D: -0.025857 Loss_G: 0.009639 Loss_D_real: -0.008367 Loss_D_fake 0.017491
[646/5000][290/535][66487] Loss_D: -0.023722 Loss_G: 0.036253 Loss_D_real: -0.014910 Loss_D_fake 0.008812
[646/5000][295/535][66488] Loss_D: -0.024209 Loss_G: 0.035619 Loss_D_real: -0.028520 Loss_D_fake -0.004311
[646/5000][300/535][66489] Loss_D: -0.025203 Loss_G: 0.010160 Loss_D_real: -0.013846 Loss_D_fake 0.011357
[646/5000][305/535][66490] Loss_D: -0.022248 Loss_G: 0.029822 Loss_D_real: -0.032736 Loss_D_fake -0.010487
[646/5000][310/535][66491] Loss_D: -0.024801 Loss_G: -0.002281 Loss_D_real: -0.005696 Loss_D_fake 0.019104
[646/5000][315/535][66492] Loss_D: -0.023500 Loss_G: 0.002013 Loss_D_real: -0.011906 Loss_D_fake 0.011594
[646/5000][320/535][66493] Loss_D: -0.024020 Loss_G: 0.018879 Loss_D_real: -0.025007 Loss_D_fake -0.000987
[646/5000][325/535][66494] Loss_D: -0.023664 Loss_G: 0.022199 Loss_D_real: -0.016439 Loss_D_fake 0.007225
[646/5000][330/535][66495] Loss_D: -0.025760 Loss_G: 0.006485 Loss_D_real: -0.015762 Loss_D_fake 0.009998
[646/5000][335/535][66496] Loss_D: -0.024448 Loss_G: 0.009542 Loss_D_real: -0.016950 Loss_D_fake 0.007498
[646/5000][340/535][66497] Loss_D: -0.026062 Loss_G: 0.009951 Loss_D_real: -0.008093 Loss_D_fake 0.017969
[646/5000][345/535][66498] Loss_D: -0.024749 Loss_G: 0.014557 Loss_D_real: -0.014317 Loss_D_fake 0.010432
[646/5000][350/535][66499] Loss_D: -0.024905 Loss_G: -0.001266 Loss_D_real: -0.003521 Loss_D_fake 0.021384
[646/5000][355/535][66500] Loss_D: -0.024422 Loss_G: 0.010936 Loss_D_real: -0.016748 Loss_D_fake 0.007674
[646/5000][455/535][66501] Loss_D: -0.024537 Loss_G: -0.009000 Loss_D_real: 0.003969 Loss_D_fake 0.028506
[646/5000][460/535][66502] Loss_D: -0.025508 Loss_G: 0.005396 Loss_D_real: -0.001053 Loss_D_fake 0.024455
[646/5000][465/535][66503] Loss_D: -0.020915 Loss_G: -0.002315 Loss_D_real: -0.009685 Loss_D_fake 0.011230
[646/5000][470/535][66504] Loss_D: -0.024062 Loss_G: 0.012557 Loss_D_real: -0.012814 Loss_D_fake 0.011248
[646/5000][475/535][66505] Loss_D: -0.023192 Loss_G: 0.018138 Loss_D_real: -0.013008 Loss_D_fake 0.010184
[646/5000][480/535][66506] Loss_D: -0.024674 Loss_G: 0.003985 Loss_D_real: -0.010070 Loss_D_fake 0.014605
[646/5000][485/535][66507] Loss_D: -0.023630 Loss_G: 0.017364 Loss_D_real: -0.021901 Loss_D_fake 0.001729
[646/5000][490/535][66508] Loss_D: -0.024080 Loss_G: 0.010406 Loss_D_real: -0.011119 Loss_D_fake 0.012962
[646/5000][495/535][66509] Loss_D: -0.022561 Loss_G: 0.019670 Loss_D_real: -0.019245 Loss_D_fake 0.003316
[646/5000][500/535][66510] Loss_D: -0.022294 Loss_G: 0.031234 Loss_D_real: -0.028106 Loss_D_fake -0.005812
[646/5000][505/535][66511] Loss_D: -0.024235 Loss_G: -0.005971 Loss_D_real: -0.012542 Loss_D_fake 0.011692
[646/5000][510/535][66512] Loss_D: -0.023128 Loss_G: 0.016516 Loss_D_real: -0.014154 Loss_D_fake 0.008974
[646/5000][515/535][66513] Loss_D: -0.024739 Loss_G: -0.001584 Loss_D_real: -0.003183 Loss_D_fake 0.021556
[646/5000][520/535][66514] Loss_D: -0.023895 Loss_G: 0.004800 Loss_D_real: -0.014938 Loss_D_fake 0.008958
[646/5000][525/535][66515] Loss_D: -0.024184 Loss_G: 0.029971 Loss_D_real: -0.023008 Loss_D_fake 0.001177
[646/5000][530/535][66516] Loss_D: -0.023878 Loss_G: -0.000305 Loss_D_real: -0.004458 Loss_D_fake 0.019420
[646/5000][535/535][66517] Loss_D: -0.022713 Loss_G: 0.037896 Loss_D_real: -0.013563 Loss_D_fake 0.009150
[647/5000][5/535][66518] Loss_D: -0.022797 Loss_G: 0.025589 Loss_D_real: -0.023614 Loss_D_fake -0.000817
[647/5000][10/535][66519] Loss_D: -0.022707 Loss_G: 0.016972 Loss_D_real: -0.024087 Loss_D_fake -0.001379
[647/5000][15/535][66520] Loss_D: -0.025210 Loss_G: 0.023558 Loss_D_real: -0.014448 Loss_D_fake 0.010762
[647/5000][20/535][66521] Loss_D: -0.022881 Loss_G: 0.003594 Loss_D_real: -0.008401 Loss_D_fake 0.014480
[647/5000][25/535][66522] Loss_D: -0.022725 Loss_G: 0.014425 Loss_D_real: -0.009237 Loss_D_fake 0.013488
[647/5000][30/535][66523] Loss_D: -0.024027 Loss_G: 0.018821 Loss_D_real: -0.018754 Loss_D_fake 0.005272
[647/5000][35/535][66524] Loss_D: -0.024534 Loss_G: 0.000282 Loss_D_real: -0.005440 Loss_D_fake 0.019094
[647/5000][40/535][66525] Loss_D: -0.023510 Loss_G: 0.023879 Loss_D_real: -0.030785 Loss_D_fake -0.007276
[647/5000][45/535][66526] Loss_D: -0.024846 Loss_G: 0.006131 Loss_D_real: -0.011029 Loss_D_fake 0.013817
[647/5000][50/535][66527] Loss_D: -0.024970 Loss_G: 0.023997 Loss_D_real: -0.019473 Loss_D_fake 0.005497
[647/5000][55/535][66528] Loss_D: -0.024692 Loss_G: 0.010689 Loss_D_real: -0.007040 Loss_D_fake 0.017652
[647/5000][60/535][66529] Loss_D: -0.024259 Loss_G: 0.007225 Loss_D_real: -0.014182 Loss_D_fake 0.010077
[647/5000][65/535][66530] Loss_D: -0.024908 Loss_G: 0.012957 Loss_D_real: -0.008148 Loss_D_fake 0.016760
[647/5000][70/535][66531] Loss_D: -0.024371 Loss_G: -0.005719 Loss_D_real: 0.003309 Loss_D_fake 0.027680
[647/5000][75/535][66532] Loss_D: -0.024372 Loss_G: 0.011660 Loss_D_real: -0.009879 Loss_D_fake 0.014494
[647/5000][80/535][66533] Loss_D: -0.024530 Loss_G: 0.013463 Loss_D_real: -0.026805 Loss_D_fake -0.002275
[647/5000][85/535][66534] Loss_D: -0.025818 Loss_G: 0.006035 Loss_D_real: -0.015857 Loss_D_fake 0.009961
[647/5000][90/535][66535] Loss_D: -0.024479 Loss_G: 0.029389 Loss_D_real: -0.028116 Loss_D_fake -0.003637
[647/5000][95/535][66536] Loss_D: -0.024279 Loss_G: -0.003333 Loss_D_real: -0.005241 Loss_D_fake 0.019038
[647/5000][100/535][66537] Loss_D: -0.025006 Loss_G: 0.005539 Loss_D_real: -0.014279 Loss_D_fake 0.010727
[647/5000][105/535][66538] Loss_D: -0.023228 Loss_G: 0.029355 Loss_D_real: -0.028957 Loss_D_fake -0.005729
[647/5000][110/535][66539] Loss_D: -0.024695 Loss_G: 0.012964 Loss_D_real: -0.011893 Loss_D_fake 0.012803
[647/5000][115/535][66540] Loss_D: -0.024561 Loss_G: 0.031682 Loss_D_real: -0.024084 Loss_D_fake 0.000476
[647/5000][120/535][66541] Loss_D: -0.024097 Loss_G: 0.018001 Loss_D_real: -0.022893 Loss_D_fake 0.001204
[647/5000][125/535][66542] Loss_D: -0.023463 Loss_G: 0.011796 Loss_D_real: -0.012984 Loss_D_fake 0.010479
[647/5000][130/535][66543] Loss_D: -0.023603 Loss_G: 0.025354 Loss_D_real: -0.024383 Loss_D_fake -0.000779
[647/5000][135/535][66544] Loss_D: -0.024774 Loss_G: 0.014913 Loss_D_real: -0.017073 Loss_D_fake 0.007701
[647/5000][140/535][66545] Loss_D: -0.024641 Loss_G: 0.013747 Loss_D_real: -0.017154 Loss_D_fake 0.007487
[647/5000][145/535][66546] Loss_D: -0.025056 Loss_G: 0.020902 Loss_D_real: -0.024329 Loss_D_fake 0.000727
[647/5000][150/535][66547] Loss_D: -0.025020 Loss_G: 0.023072 Loss_D_real: -0.020174 Loss_D_fake 0.004847
[647/5000][155/535][66548] Loss_D: -0.026046 Loss_G: 0.004674 Loss_D_real: -0.001819 Loss_D_fake 0.024227
[647/5000][160/535][66549] Loss_D: -0.023118 Loss_G: 0.022793 Loss_D_real: -0.025055 Loss_D_fake -0.001937
[647/5000][165/535][66550] Loss_D: -0.025109 Loss_G: -0.006567 Loss_D_real: -0.005978 Loss_D_fake 0.019131
[647/5000][170/535][66551] Loss_D: -0.024911 Loss_G: 0.007233 Loss_D_real: -0.016022 Loss_D_fake 0.008890
[647/5000][175/535][66552] Loss_D: -0.024784 Loss_G: 0.015718 Loss_D_real: -0.019617 Loss_D_fake 0.005167
[647/5000][180/535][66553] Loss_D: -0.025305 Loss_G: 0.000897 Loss_D_real: -0.009716 Loss_D_fake 0.015589
[647/5000][185/535][66554] Loss_D: -0.024331 Loss_G: -0.000343 Loss_D_real: 0.007950 Loss_D_fake 0.032281
[647/5000][190/535][66555] Loss_D: -0.022712 Loss_G: 0.021095 Loss_D_real: -0.029207 Loss_D_fake -0.006494
[647/5000][195/535][66556] Loss_D: -0.024257 Loss_G: 0.011899 Loss_D_real: -0.010958 Loss_D_fake 0.013298
[647/5000][200/535][66557] Loss_D: -0.025694 Loss_G: 0.013893 Loss_D_real: -0.014463 Loss_D_fake 0.011232
[647/5000][205/535][66558] Loss_D: -0.025402 Loss_G: 0.009022 Loss_D_real: -0.004182 Loss_D_fake 0.021220
[647/5000][210/535][66559] Loss_D: -0.024654 Loss_G: 0.017348 Loss_D_real: -0.014366 Loss_D_fake 0.010288
[647/5000][215/535][66560] Loss_D: -0.024741 Loss_G: 0.020425 Loss_D_real: -0.014890 Loss_D_fake 0.009851
[647/5000][220/535][66561] Loss_D: -0.024327 Loss_G: -0.000723 Loss_D_real: 0.000807 Loss_D_fake 0.025135
[647/5000][225/535][66562] Loss_D: -0.024643 Loss_G: 0.022694 Loss_D_real: -0.017708 Loss_D_fake 0.006935
[647/5000][230/535][66563] Loss_D: -0.024860 Loss_G: -0.013740 Loss_D_real: 0.008427 Loss_D_fake 0.033287
[647/5000][235/535][66564] Loss_D: -0.022607 Loss_G: 0.023798 Loss_D_real: -0.032181 Loss_D_fake -0.009574
[647/5000][240/535][66565] Loss_D: -0.023188 Loss_G: 0.009657 Loss_D_real: -0.007888 Loss_D_fake 0.015300
[647/5000][245/535][66566] Loss_D: -0.023998 Loss_G: 0.026461 Loss_D_real: -0.016702 Loss_D_fake 0.007296
[647/5000][250/535][66567] Loss_D: -0.023904 Loss_G: 0.019490 Loss_D_real: -0.017314 Loss_D_fake 0.006590
[647/5000][255/535][66568] Loss_D: -0.025071 Loss_G: 0.011726 Loss_D_real: -0.020563 Loss_D_fake 0.004509
[647/5000][260/535][66569] Loss_D: -0.024367 Loss_G: 0.013943 Loss_D_real: -0.022707 Loss_D_fake 0.001659
[647/5000][265/535][66570] Loss_D: -0.023278 Loss_G: 0.012017 Loss_D_real: -0.016781 Loss_D_fake 0.006497
[647/5000][270/535][66571] Loss_D: -0.023453 Loss_G: 0.021775 Loss_D_real: -0.023376 Loss_D_fake 0.000077
[647/5000][275/535][66572] Loss_D: -0.025702 Loss_G: 0.020532 Loss_D_real: -0.021958 Loss_D_fake 0.003744
[647/5000][280/535][66573] Loss_D: -0.023786 Loss_G: 0.021419 Loss_D_real: -0.028521 Loss_D_fake -0.004735
[647/5000][285/535][66574] Loss_D: -0.023767 Loss_G: -0.007058 Loss_D_real: -0.003348 Loss_D_fake 0.020420
[647/5000][290/535][66575] Loss_D: -0.022481 Loss_G: 0.035175 Loss_D_real: -0.031642 Loss_D_fake -0.009161
[647/5000][295/535][66576] Loss_D: -0.022858 Loss_G: 0.012270 Loss_D_real: -0.013218 Loss_D_fake 0.009640
[647/5000][300/535][66577] Loss_D: -0.024728 Loss_G: 0.011211 Loss_D_real: -0.013637 Loss_D_fake 0.011091
[647/5000][305/535][66578] Loss_D: -0.024631 Loss_G: 0.017798 Loss_D_real: -0.011970 Loss_D_fake 0.012661
[647/5000][310/535][66579] Loss_D: -0.024679 Loss_G: 0.021326 Loss_D_real: -0.020645 Loss_D_fake 0.004034
[647/5000][315/535][66580] Loss_D: -0.024946 Loss_G: 0.030947 Loss_D_real: -0.026176 Loss_D_fake -0.001230
[647/5000][320/535][66581] Loss_D: -0.023609 Loss_G: -0.005396 Loss_D_real: -0.001537 Loss_D_fake 0.022072
[647/5000][325/535][66582] Loss_D: -0.025363 Loss_G: 0.004832 Loss_D_real: -0.012797 Loss_D_fake 0.012566
[647/5000][330/535][66583] Loss_D: -0.022384 Loss_G: 0.012458 Loss_D_real: -0.013993 Loss_D_fake 0.008391
[647/5000][335/535][66584] Loss_D: -0.024247 Loss_G: 0.007919 Loss_D_real: -0.018629 Loss_D_fake 0.005618
[647/5000][340/535][66585] Loss_D: -0.024056 Loss_G: 0.005842 Loss_D_real: -0.012345 Loss_D_fake 0.011711
[647/5000][345/535][66586] Loss_D: -0.023323 Loss_G: 0.014408 Loss_D_real: -0.020740 Loss_D_fake 0.002583
[647/5000][350/535][66587] Loss_D: -0.024191 Loss_G: 0.002875 Loss_D_real: -0.004813 Loss_D_fake 0.019377
[647/5000][355/535][66588] Loss_D: -0.024145 Loss_G: 0.010916 Loss_D_real: -0.013608 Loss_D_fake 0.010538
[647/5000][360/535][66589] Loss_D: -0.024581 Loss_G: 0.001411 Loss_D_real: -0.007627 Loss_D_fake 0.016954
[647/5000][365/535][66590] Loss_D: -0.023409 Loss_G: 0.018281 Loss_D_real: -0.023489 Loss_D_fake -0.000080
[647/5000][370/535][66591] Loss_D: -0.024417 Loss_G: 0.022044 Loss_D_real: -0.023785 Loss_D_fake 0.000632
[647/5000][375/535][66592] Loss_D: -0.025173 Loss_G: 0.009774 Loss_D_real: -0.017095 Loss_D_fake 0.008079
[647/5000][380/535][66593] Loss_D: -0.023687 Loss_G: 0.018655 Loss_D_real: -0.013387 Loss_D_fake 0.010300
[647/5000][385/535][66594] Loss_D: -0.025350 Loss_G: 0.020563 Loss_D_real: -0.019098 Loss_D_fake 0.006252
[647/5000][390/535][66595] Loss_D: -0.024760 Loss_G: 0.019359 Loss_D_real: -0.027273 Loss_D_fake -0.002513
[647/5000][395/535][66596] Loss_D: -0.024059 Loss_G: 0.026425 Loss_D_real: -0.034869 Loss_D_fake -0.010810
[647/5000][400/535][66597] Loss_D: -0.024536 Loss_G: 0.026962 Loss_D_real: -0.029445 Loss_D_fake -0.004909
[647/5000][405/535][66598] Loss_D: -0.023055 Loss_G: -0.004725 Loss_D_real: 0.008722 Loss_D_fake 0.031776
[647/5000][410/535][66599] Loss_D: -0.023702 Loss_G: 0.012462 Loss_D_real: -0.017809 Loss_D_fake 0.005893
[647/5000][415/535][66600] Loss_D: -0.024229 Loss_G: 0.036126 Loss_D_real: -0.031878 Loss_D_fake -0.007649
[647/5000][420/535][66601] Loss_D: -0.023483 Loss_G: 0.025120 Loss_D_real: -0.016396 Loss_D_fake 0.007088
[647/5000][425/535][66602] Loss_D: -0.023350 Loss_G: 0.026133 Loss_D_real: -0.017578 Loss_D_fake 0.005772
[647/5000][430/535][66603] Loss_D: -0.024867 Loss_G: 0.018485 Loss_D_real: -0.008534 Loss_D_fake 0.016333
[647/5000][435/535][66604] Loss_D: -0.023783 Loss_G: -0.012560 Loss_D_real: -0.009035 Loss_D_fake 0.014748
[647/5000][440/535][66605] Loss_D: -0.024010 Loss_G: 0.020678 Loss_D_real: -0.016275 Loss_D_fake 0.007735
[647/5000][445/535][66606] Loss_D: -0.023693 Loss_G: -0.005980 Loss_D_real: -0.011702 Loss_D_fake 0.011991
[647/5000][450/535][66607] Loss_D: -0.023806 Loss_G: 0.028911 Loss_D_real: -0.018271 Loss_D_fake 0.005535
[647/5000][455/535][66608] Loss_D: -0.024334 Loss_G: 0.021491 Loss_D_real: -0.030138 Loss_D_fake -0.005804
[647/5000][460/535][66609] Loss_D: -0.024526 Loss_G: 0.023654 Loss_D_real: -0.015058 Loss_D_fake 0.009468
[647/5000][465/535][66610] Loss_D: -0.025197 Loss_G: 0.006047 Loss_D_real: -0.006225 Loss_D_fake 0.018972
[647/5000][470/535][66611] Loss_D: -0.025013 Loss_G: 0.016509 Loss_D_real: -0.018375 Loss_D_fake 0.006638
[647/5000][475/535][66612] Loss_D: -0.024567 Loss_G: -0.000206 Loss_D_real: -0.012109 Loss_D_fake 0.012458
[647/5000][480/535][66613] Loss_D: -0.022389 Loss_G: 0.022206 Loss_D_real: -0.027721 Loss_D_fake -0.005332
[647/5000][485/535][66614] Loss_D: -0.023045 Loss_G: -0.001766 Loss_D_real: -0.001399 Loss_D_fake 0.021646
[647/5000][490/535][66615] Loss_D: -0.024176 Loss_G: 0.014916 Loss_D_real: -0.015652 Loss_D_fake 0.008524
[647/5000][495/535][66616] Loss_D: -0.024447 Loss_G: 0.013758 Loss_D_real: -0.011862 Loss_D_fake 0.012584
[647/5000][500/535][66617] Loss_D: -0.025079 Loss_G: 0.008488 Loss_D_real: -0.012959 Loss_D_fake 0.012120
[647/5000][505/535][66618] Loss_D: -0.024818 Loss_G: 0.025375 Loss_D_real: -0.031746 Loss_D_fake -0.006928
[647/5000][510/535][66619] Loss_D: -0.024040 Loss_G: 0.010890 Loss_D_real: -0.024311 Loss_D_fake -0.000271
[647/5000][515/535][66620] Loss_D: -0.024702 Loss_G: 0.007824 Loss_D_real: -0.005482 Loss_D_fake 0.019221
[647/5000][520/535][66621] Loss_D: -0.023943 Loss_G: 0.014798 Loss_D_real: -0.032264 Loss_D_fake -0.008322
[647/5000][525/535][66622] Loss_D: -0.023985 Loss_G: 0.005582 Loss_D_real: -0.014196 Loss_D_fake 0.009790
[647/5000][530/535][66623] Loss_D: -0.025040 Loss_G: 0.019561 Loss_D_real: -0.013583 Loss_D_fake 0.011457
[647/5000][535/535][66624] Loss_D: -0.023034 Loss_G: -0.000293 Loss_D_real: -0.008818 Loss_D_fake 0.014216
[648/5000][5/535][66625] Loss_D: -0.024846 Loss_G: 0.026634 Loss_D_real: -0.032214 Loss_D_fake -0.007368
[648/5000][10/535][66626] Loss_D: -0.025073 Loss_G: 0.024741 Loss_D_real: -0.022226 Loss_D_fake 0.002847
[648/5000][15/535][66627] Loss_D: -0.023743 Loss_G: 0.011466 Loss_D_real: -0.013235 Loss_D_fake 0.010508
[648/5000][20/535][66628] Loss_D: -0.025537 Loss_G: 0.004543 Loss_D_real: -0.000552 Loss_D_fake 0.024985
[648/5000][25/535][66629] Loss_D: -0.023239 Loss_G: 0.024404 Loss_D_real: -0.020357 Loss_D_fake 0.002882
[648/5000][30/535][66630] Loss_D: -0.024422 Loss_G: 0.016082 Loss_D_real: -0.021552 Loss_D_fake 0.002870
[648/5000][35/535][66631] Loss_D: -0.024688 Loss_G: 0.023542 Loss_D_real: -0.026881 Loss_D_fake -0.002193
[648/5000][40/535][66632] Loss_D: -0.024853 Loss_G: 0.021923 Loss_D_real: -0.013462 Loss_D_fake 0.011391
[648/5000][45/535][66633] Loss_D: -0.024294 Loss_G: 0.017503 Loss_D_real: -0.023010 Loss_D_fake 0.001284
[648/5000][50/535][66634] Loss_D: -0.025228 Loss_G: 0.012274 Loss_D_real: -0.004769 Loss_D_fake 0.020459
[648/5000][55/535][66635] Loss_D: -0.021110 Loss_G: 0.032683 Loss_D_real: -0.038165 Loss_D_fake -0.017055
[648/5000][60/535][66636] Loss_D: -0.024418 Loss_G: 0.010943 Loss_D_real: -0.012583 Loss_D_fake 0.011836
[648/5000][65/535][66637] Loss_D: -0.024681 Loss_G: 0.023912 Loss_D_real: -0.030896 Loss_D_fake -0.006216
[648/5000][70/535][66638] Loss_D: -0.022808 Loss_G: 0.029386 Loss_D_real: -0.030990 Loss_D_fake -0.008181
[648/5000][75/535][66639] Loss_D: -0.026380 Loss_G: 0.016350 Loss_D_real: -0.019992 Loss_D_fake 0.006388
[648/5000][80/535][66640] Loss_D: -0.025131 Loss_G: 0.008526 Loss_D_real: -0.011476 Loss_D_fake 0.013655
[648/5000][85/535][66641] Loss_D: -0.024661 Loss_G: 0.017806 Loss_D_real: -0.021836 Loss_D_fake 0.002825
[648/5000][90/535][66642] Loss_D: -0.024262 Loss_G: 0.033094 Loss_D_real: -0.026407 Loss_D_fake -0.002145
[648/5000][95/535][66643] Loss_D: -0.024730 Loss_G: 0.007151 Loss_D_real: -0.006823 Loss_D_fake 0.017906
[648/5000][100/535][66644] Loss_D: -0.022421 Loss_G: -0.002921 Loss_D_real: 0.002922 Loss_D_fake 0.025343
[648/5000][105/535][66645] Loss_D: -0.023629 Loss_G: -0.002784 Loss_D_real: 0.005655 Loss_D_fake 0.029284
[648/5000][110/535][66646] Loss_D: -0.023405 Loss_G: 0.021256 Loss_D_real: -0.018098 Loss_D_fake 0.005307
[648/5000][115/535][66647] Loss_D: -0.024307 Loss_G: 0.030212 Loss_D_real: -0.026768 Loss_D_fake -0.002461
[648/5000][120/535][66648] Loss_D: -0.024596 Loss_G: 0.016379 Loss_D_real: -0.011857 Loss_D_fake 0.012739
[648/5000][125/535][66649] Loss_D: -0.025872 Loss_G: 0.007672 Loss_D_real: -0.009119 Loss_D_fake 0.016753
[648/5000][130/535][66650] Loss_D: -0.024879 Loss_G: 0.026716 Loss_D_real: -0.017946 Loss_D_fake 0.006933
[648/5000][135/535][66651] Loss_D: -0.022917 Loss_G: -0.005277 Loss_D_real: 0.001217 Loss_D_fake 0.024134
[648/5000][140/535][66652] Loss_D: -0.024377 Loss_G: 0.022080 Loss_D_real: -0.014865 Loss_D_fake 0.009511
[648/5000][145/535][66653] Loss_D: -0.024871 Loss_G: 0.008135 Loss_D_real: -0.008384 Loss_D_fake 0.016488
[648/5000][150/535][66654] Loss_D: -0.023147 Loss_G: 0.022114 Loss_D_real: -0.017319 Loss_D_fake 0.005827
[648/5000][155/535][66655] Loss_D: -0.023959 Loss_G: 0.000794 Loss_D_real: -0.003690 Loss_D_fake 0.020269
[648/5000][160/535][66656] Loss_D: -0.023766 Loss_G: 0.005971 Loss_D_real: -0.005915 Loss_D_fake 0.017851
[648/5000][165/535][66657] Loss_D: -0.024450 Loss_G: 0.000084 Loss_D_real: 0.004148 Loss_D_fake 0.028598
[648/5000][170/535][66658] Loss_D: -0.023348 Loss_G: 0.019507 Loss_D_real: -0.023080 Loss_D_fake 0.000268
[648/5000][175/535][66659] Loss_D: -0.025073 Loss_G: 0.018791 Loss_D_real: -0.018678 Loss_D_fake 0.006395
[648/5000][180/535][66660] Loss_D: -0.024412 Loss_G: -0.004410 Loss_D_real: -0.006252 Loss_D_fake 0.018160
[648/5000][185/535][66661] Loss_D: -0.023988 Loss_G: 0.025313 Loss_D_real: -0.032513 Loss_D_fake -0.008525
[648/5000][190/535][66662] Loss_D: -0.023943 Loss_G: -0.001813 Loss_D_real: -0.013061 Loss_D_fake 0.010882
[648/5000][195/535][66663] Loss_D: -0.025132 Loss_G: 0.005074 Loss_D_real: -0.008699 Loss_D_fake 0.016433
[648/5000][200/535][66664] Loss_D: -0.024124 Loss_G: 0.004113 Loss_D_real: -0.013321 Loss_D_fake 0.010803
[648/5000][205/535][66665] Loss_D: -0.024914 Loss_G: -0.005191 Loss_D_real: -0.003301 Loss_D_fake 0.021613
[648/5000][210/535][66666] Loss_D: -0.025060 Loss_G: 0.022999 Loss_D_real: -0.011602 Loss_D_fake 0.013457
[648/5000][215/535][66667] Loss_D: -0.023897 Loss_G: -0.006569 Loss_D_real: 0.002894 Loss_D_fake 0.026791
[648/5000][220/535][66668] Loss_D: -0.025076 Loss_G: 0.026928 Loss_D_real: -0.014426 Loss_D_fake 0.010651
[648/5000][225/535][66669] Loss_D: -0.024608 Loss_G: 0.013119 Loss_D_real: -0.025143 Loss_D_fake -0.000535
[648/5000][230/535][66670] Loss_D: -0.023678 Loss_G: 0.013917 Loss_D_real: -0.015334 Loss_D_fake 0.008344
[648/5000][235/535][66671] Loss_D: -0.024703 Loss_G: 0.015438 Loss_D_real: -0.017277 Loss_D_fake 0.007426
[648/5000][240/535][66672] Loss_D: -0.024999 Loss_G: 0.038203 Loss_D_real: -0.030038 Loss_D_fake -0.005039
[648/5000][245/535][66673] Loss_D: -0.024991 Loss_G: 0.021399 Loss_D_real: -0.021634 Loss_D_fake 0.003358
[648/5000][250/535][66674] Loss_D: -0.023632 Loss_G: 0.016134 Loss_D_real: -0.022943 Loss_D_fake 0.000689
[648/5000][255/535][66675] Loss_D: -0.024187 Loss_G: 0.004599 Loss_D_real: -0.012650 Loss_D_fake 0.011537
[648/5000][260/535][66676] Loss_D: -0.024710 Loss_G: 0.024462 Loss_D_real: -0.030137 Loss_D_fake -0.005427
[648/5000][265/535][66677] Loss_D: -0.024363 Loss_G: 0.015925 Loss_D_real: -0.013023 Loss_D_fake 0.011340
[648/5000][270/535][66678] Loss_D: -0.023461 Loss_G: 0.015602 Loss_D_real: -0.019286 Loss_D_fake 0.004175
[648/5000][275/535][66679] Loss_D: -0.023112 Loss_G: 0.015136 Loss_D_real: -0.007965 Loss_D_fake 0.015147
[648/5000][280/535][66680] Loss_D: -0.022135 Loss_G: 0.032824 Loss_D_real: -0.019578 Loss_D_fake 0.002556
[648/5000][285/535][66681] Loss_D: -0.023326 Loss_G: -0.004120 Loss_D_real: -0.002197 Loss_D_fake 0.021129
[648/5000][290/535][66682] Loss_D: -0.021960 Loss_G: 0.026916 Loss_D_real: -0.025521 Loss_D_fake -0.003561
[648/5000][295/535][66683] Loss_D: -0.023492 Loss_G: 0.028643 Loss_D_real: -0.029969 Loss_D_fake -0.006478
[648/5000][300/535][66684] Loss_D: -0.026062 Loss_G: 0.019555 Loss_D_real: -0.023309 Loss_D_fake 0.002752
[648/5000][305/535][66685] Loss_D: -0.023297 Loss_G: 0.031176 Loss_D_real: -0.031786 Loss_D_fake -0.008489
[648/5000][310/535][66686] Loss_D: -0.024045 Loss_G: 0.009587 Loss_D_real: -0.009338 Loss_D_fake 0.014707
[648/5000][315/535][66687] Loss_D: -0.023602 Loss_G: 0.010132 Loss_D_real: -0.007756 Loss_D_fake 0.015846
[648/5000][320/535][66688] Loss_D: -0.023353 Loss_G: 0.019899 Loss_D_real: -0.022470 Loss_D_fake 0.000883
[648/5000][325/535][66689] Loss_D: -0.022653 Loss_G: 0.019920 Loss_D_real: -0.013485 Loss_D_fake 0.009168
[648/5000][330/535][66690] Loss_D: -0.023760 Loss_G: 0.010705 Loss_D_real: -0.002545 Loss_D_fake 0.021215
[648/5000][335/535][66691] Loss_D: -0.024354 Loss_G: 0.031962 Loss_D_real: -0.025830 Loss_D_fake -0.001476
[648/5000][340/535][66692] Loss_D: -0.025055 Loss_G: 0.010911 Loss_D_real: -0.013228 Loss_D_fake 0.011827
[648/5000][345/535][66693] Loss_D: -0.025541 Loss_G: 0.013401 Loss_D_real: -0.024488 Loss_D_fake 0.001054
[648/5000][350/535][66694] Loss_D: -0.025570 Loss_G: 0.006227 Loss_D_real: -0.006067 Loss_D_fake 0.019503
[648/5000][355/535][66695] Loss_D: -0.024010 Loss_G: 0.023413 Loss_D_real: -0.024926 Loss_D_fake -0.000916
[648/5000][360/535][66696] Loss_D: -0.024411 Loss_G: 0.000504 Loss_D_real: 0.001259 Loss_D_fake 0.025670
[648/5000][365/535][66697] Loss_D: -0.023799 Loss_G: 0.034850 Loss_D_real: -0.034035 Loss_D_fake -0.010236
[648/5000][370/535][66698] Loss_D: -0.025535 Loss_G: 0.003917 Loss_D_real: -0.011244 Loss_D_fake 0.014291
[648/5000][375/535][66699] Loss_D: -0.024035 Loss_G: 0.018048 Loss_D_real: -0.021083 Loss_D_fake 0.002952
[648/5000][380/535][66700] Loss_D: -0.024118 Loss_G: 0.013032 Loss_D_real: -0.009656 Loss_D_fake 0.014462
[648/5000][385/535][66701] Loss_D: -0.025101 Loss_G: 0.007021 Loss_D_real: -0.005432 Loss_D_fake 0.019668
[648/5000][390/535][66702] Loss_D: -0.021233 Loss_G: 0.035172 Loss_D_real: -0.034199 Loss_D_fake -0.012966
[648/5000][395/535][66703] Loss_D: -0.024149 Loss_G: 0.004776 Loss_D_real: -0.013002 Loss_D_fake 0.011147
[648/5000][400/535][66704] Loss_D: -0.022936 Loss_G: 0.006931 Loss_D_real: -0.015291 Loss_D_fake 0.007645
[648/5000][405/535][66705] Loss_D: -0.024858 Loss_G: 0.001344 Loss_D_real: -0.000655 Loss_D_fake 0.024203
[648/5000][410/535][66706] Loss_D: -0.024277 Loss_G: 0.016575 Loss_D_real: -0.017449 Loss_D_fake 0.006828
[648/5000][415/535][66707] Loss_D: -0.023477 Loss_G: 0.016018 Loss_D_real: -0.010611 Loss_D_fake 0.012866
[648/5000][420/535][66708] Loss_D: -0.024562 Loss_G: 0.005964 Loss_D_real: -0.014687 Loss_D_fake 0.009875
[648/5000][425/535][66709] Loss_D: -0.022224 Loss_G: 0.017534 Loss_D_real: -0.010494 Loss_D_fake 0.011730
[648/5000][430/535][66710] Loss_D: -0.023096 Loss_G: -0.000774 Loss_D_real: -0.004190 Loss_D_fake 0.018906
[648/5000][435/535][66711] Loss_D: -0.024377 Loss_G: 0.004266 Loss_D_real: 0.000848 Loss_D_fake 0.025225
[648/5000][440/535][66712] Loss_D: -0.024471 Loss_G: -0.006899 Loss_D_real: 0.004739 Loss_D_fake 0.029210
[648/5000][445/535][66713] Loss_D: -0.023552 Loss_G: 0.023003 Loss_D_real: -0.025824 Loss_D_fake -0.002272
[648/5000][450/535][66714] Loss_D: -0.024373 Loss_G: 0.008077 Loss_D_real: -0.021543 Loss_D_fake 0.002830
[648/5000][455/535][66715] Loss_D: -0.024139 Loss_G: 0.018783 Loss_D_real: -0.015110 Loss_D_fake 0.009029
[648/5000][460/535][66716] Loss_D: -0.024690 Loss_G: -0.009788 Loss_D_real: 0.000635 Loss_D_fake 0.025325
[648/5000][465/535][66717] Loss_D: -0.024055 Loss_G: 0.027568 Loss_D_real: -0.027987 Loss_D_fake -0.003932
[648/5000][470/535][66718] Loss_D: -0.023737 Loss_G: 0.028744 Loss_D_real: -0.028141 Loss_D_fake -0.004404
[648/5000][475/535][66719] Loss_D: -0.024591 Loss_G: 0.002330 Loss_D_real: -0.007492 Loss_D_fake 0.017100
[648/5000][480/535][66720] Loss_D: -0.024688 Loss_G: 0.024333 Loss_D_real: -0.024958 Loss_D_fake -0.000270
[648/5000][485/535][66721] Loss_D: -0.025279 Loss_G: 0.021766 Loss_D_real: -0.014905 Loss_D_fake 0.010374
[648/5000][490/535][66722] Loss_D: -0.023159 Loss_G: 0.041726 Loss_D_real: -0.037565 Loss_D_fake -0.014406
[648/5000][495/535][66723] Loss_D: -0.026173 Loss_G: 0.011964 Loss_D_real: -0.013159 Loss_D_fake 0.013014
[648/5000][500/535][66724] Loss_D: -0.024303 Loss_G: 0.000642 Loss_D_real: -0.009947 Loss_D_fake 0.014356
[648/5000][505/535][66725] Loss_D: -0.023428 Loss_G: -0.008080 Loss_D_real: 0.006000 Loss_D_fake 0.029429
[648/5000][510/535][66726] Loss_D: -0.022748 Loss_G: 0.011934 Loss_D_real: -0.014253 Loss_D_fake 0.008495
[648/5000][515/535][66727] Loss_D: -0.023328 Loss_G: 0.032739 Loss_D_real: -0.026221 Loss_D_fake -0.002893
[648/5000][520/535][66728] Loss_D: -0.023557 Loss_G: 0.012178 Loss_D_real: -0.008165 Loss_D_fake 0.015392
[648/5000][525/535][66729] Loss_D: -0.024225 Loss_G: 0.028297 Loss_D_real: -0.022013 Loss_D_fake 0.002212
[648/5000][530/535][66730] Loss_D: -0.025928 Loss_G: 0.007599 Loss_D_real: -0.008713 Loss_D_fake 0.017215
[648/5000][535/535][66731] Loss_D: -0.024381 Loss_G: 0.030108 Loss_D_real: -0.024421 Loss_D_fake -0.000040
[649/5000][5/535][66732] Loss_D: -0.025225 Loss_G: 0.015830 Loss_D_real: -0.007446 Loss_D_fake 0.017779
[649/5000][10/535][66733] Loss_D: -0.024396 Loss_G: 0.011605 Loss_D_real: -0.014540 Loss_D_fake 0.009856
[649/5000][15/535][66734] Loss_D: -0.024195 Loss_G: 0.025054 Loss_D_real: -0.015729 Loss_D_fake 0.008466
[649/5000][20/535][66735] Loss_D: -0.024321 Loss_G: 0.005030 Loss_D_real: -0.004328 Loss_D_fake 0.019993
[649/5000][25/535][66736] Loss_D: -0.023916 Loss_G: 0.020805 Loss_D_real: -0.016563 Loss_D_fake 0.007353
[649/5000][30/535][66737] Loss_D: -0.024310 Loss_G: -0.004877 Loss_D_real: -0.001169 Loss_D_fake 0.023142
[649/5000][35/535][66738] Loss_D: -0.023349 Loss_G: 0.015011 Loss_D_real: -0.026536 Loss_D_fake -0.003187
[649/5000][40/535][66739] Loss_D: -0.025667 Loss_G: 0.019942 Loss_D_real: -0.019561 Loss_D_fake 0.006105
[649/5000][45/535][66740] Loss_D: -0.024912 Loss_G: 0.024005 Loss_D_real: -0.027292 Loss_D_fake -0.002380
[649/5000][50/535][66741] Loss_D: -0.024637 Loss_G: 0.033048 Loss_D_real: -0.025794 Loss_D_fake -0.001157
[649/5000][55/535][66742] Loss_D: -0.024346 Loss_G: 0.019713 Loss_D_real: -0.015426 Loss_D_fake 0.008920
[649/5000][60/535][66743] Loss_D: -0.023905 Loss_G: 0.030943 Loss_D_real: -0.030702 Loss_D_fake -0.006796
[649/5000][65/535][66744] Loss_D: -0.024345 Loss_G: 0.019908 Loss_D_real: -0.016042 Loss_D_fake 0.008303
[649/5000][70/535][66745] Loss_D: -0.024846 Loss_G: -0.006099 Loss_D_real: -0.003097 Loss_D_fake 0.021749
[649/5000][75/535][66746] Loss_D: -0.024680 Loss_G: 0.011220 Loss_D_real: -0.020460 Loss_D_fake 0.004220
[649/5000][80/535][66747] Loss_D: -0.023819 Loss_G: 0.016293 Loss_D_real: -0.022906 Loss_D_fake 0.000913
[649/5000][85/535][66748] Loss_D: -0.024438 Loss_G: 0.005814 Loss_D_real: -0.001731 Loss_D_fake 0.022707
[649/5000][90/535][66749] Loss_D: -0.024599 Loss_G: 0.013041 Loss_D_real: -0.016910 Loss_D_fake 0.007689
[649/5000][95/535][66750] Loss_D: -0.023696 Loss_G: 0.011445 Loss_D_real: -0.019508 Loss_D_fake 0.004189
[649/5000][100/535][66751] Loss_D: -0.023636 Loss_G: 0.019810 Loss_D_real: -0.026219 Loss_D_fake -0.002584
[649/5000][105/535][66752] Loss_D: -0.024605 Loss_G: -0.006231 Loss_D_real: -0.009946 Loss_D_fake 0.014659
[649/5000][110/535][66753] Loss_D: -0.024644 Loss_G: 0.011619 Loss_D_real: -0.007073 Loss_D_fake 0.017571
[649/5000][115/535][66754] Loss_D: -0.022909 Loss_G: -0.010102 Loss_D_real: 0.001393 Loss_D_fake 0.024303
[649/5000][120/535][66755] Loss_D: -0.024966 Loss_G: 0.013988 Loss_D_real: -0.017857 Loss_D_fake 0.007109
[649/5000][125/535][66756] Loss_D: -0.025387 Loss_G: 0.014326 Loss_D_real: -0.019772 Loss_D_fake 0.005615
[649/5000][130/535][66757] Loss_D: -0.024788 Loss_G: 0.008696 Loss_D_real: -0.012782 Loss_D_fake 0.012006
[649/5000][135/535][66758] Loss_D: -0.025353 Loss_G: 0.005332 Loss_D_real: -0.014160 Loss_D_fake 0.011194
[649/5000][140/535][66759] Loss_D: -0.024143 Loss_G: 0.002171 Loss_D_real: -0.007967 Loss_D_fake 0.016176
[649/5000][145/535][66760] Loss_D: -0.023512 Loss_G: 0.040993 Loss_D_real: -0.030491 Loss_D_fake -0.006979
[649/5000][150/535][66761] Loss_D: -0.025085 Loss_G: 0.014938 Loss_D_real: -0.011622 Loss_D_fake 0.013463
[649/5000][155/535][66762] Loss_D: -0.025381 Loss_G: 0.007894 Loss_D_real: -0.011620 Loss_D_fake 0.013761
[649/5000][160/535][66763] Loss_D: -0.026382 Loss_G: 0.018902 Loss_D_real: -0.014993 Loss_D_fake 0.011389
[649/5000][165/535][66764] Loss_D: -0.024805 Loss_G: 0.025128 Loss_D_real: -0.027496 Loss_D_fake -0.002691
[649/5000][170/535][66765] Loss_D: -0.024835 Loss_G: 0.026171 Loss_D_real: -0.021244 Loss_D_fake 0.003591
[649/5000][175/535][66766] Loss_D: -0.024458 Loss_G: 0.006832 Loss_D_real: -0.014132 Loss_D_fake 0.010326
[649/5000][180/535][66767] Loss_D: -0.024534 Loss_G: 0.022950 Loss_D_real: -0.025437 Loss_D_fake -0.000902
[649/5000][185/535][66768] Loss_D: -0.025369 Loss_G: -0.003127 Loss_D_real: -0.003755 Loss_D_fake 0.021614
[649/5000][190/535][66769] Loss_D: -0.022455 Loss_G: 0.030334 Loss_D_real: -0.027426 Loss_D_fake -0.004970
[649/5000][195/535][66770] Loss_D: -0.022820 Loss_G: 0.017906 Loss_D_real: -0.008967 Loss_D_fake 0.013854
[649/5000][200/535][66771] Loss_D: -0.024821 Loss_G: 0.019435 Loss_D_real: -0.017410 Loss_D_fake 0.007411
[649/5000][205/535][66772] Loss_D: -0.024129 Loss_G: 0.024689 Loss_D_real: -0.025160 Loss_D_fake -0.001031
[649/5000][210/535][66773] Loss_D: -0.023168 Loss_G: 0.023773 Loss_D_real: -0.033137 Loss_D_fake -0.009969
[649/5000][215/535][66774] Loss_D: -0.023806 Loss_G: 0.023620 Loss_D_real: -0.014607 Loss_D_fake 0.009199
[649/5000][220/535][66775] Loss_D: -0.023787 Loss_G: 0.006124 Loss_D_real: -0.010899 Loss_D_fake 0.012887
[649/5000][225/535][66776] Loss_D: -0.024317 Loss_G: 0.022746 Loss_D_real: -0.024451 Loss_D_fake -0.000134
[649/5000][230/535][66777] Loss_D: -0.023357 Loss_G: 0.015740 Loss_D_real: -0.009911 Loss_D_fake 0.013446
[649/5000][235/535][66778] Loss_D: -0.024594 Loss_G: 0.000921 Loss_D_real: -0.010637 Loss_D_fake 0.013957
[649/5000][240/535][66779] Loss_D: -0.024083 Loss_G: 0.006929 Loss_D_real: -0.021976 Loss_D_fake 0.002107
[649/5000][245/535][66780] Loss_D: -0.023082 Loss_G: 0.027384 Loss_D_real: -0.028409 Loss_D_fake -0.005327
[649/5000][250/535][66781] Loss_D: -0.024580 Loss_G: 0.013228 Loss_D_real: -0.024247 Loss_D_fake 0.000333
[649/5000][255/535][66782] Loss_D: -0.024204 Loss_G: 0.008107 Loss_D_real: -0.001082 Loss_D_fake 0.023122
[649/5000][260/535][66783] Loss_D: -0.024100 Loss_G: 0.009919 Loss_D_real: -0.008317 Loss_D_fake 0.015783
[649/5000][265/535][66784] Loss_D: -0.024752 Loss_G: 0.027677 Loss_D_real: -0.026749 Loss_D_fake -0.001997
[649/5000][270/535][66785] Loss_D: -0.023619 Loss_G: 0.031213 Loss_D_real: -0.032188 Loss_D_fake -0.008568
[649/5000][275/535][66786] Loss_D: -0.025122 Loss_G: 0.005840 Loss_D_real: -0.011245 Loss_D_fake 0.013877
[649/5000][280/535][66787] Loss_D: -0.024420 Loss_G: 0.023423 Loss_D_real: -0.023623 Loss_D_fake 0.000798
[649/5000][285/535][66788] Loss_D: -0.024657 Loss_G: 0.018897 Loss_D_real: -0.022780 Loss_D_fake 0.001877
[649/5000][290/535][66789] Loss_D: -0.024000 Loss_G: -0.004631 Loss_D_real: -0.008787 Loss_D_fake 0.015213
[649/5000][295/535][66790] Loss_D: -0.023579 Loss_G: 0.022410 Loss_D_real: -0.025770 Loss_D_fake -0.002191
[649/5000][300/535][66791] Loss_D: -0.023325 Loss_G: -0.005506 Loss_D_real: -0.002641 Loss_D_fake 0.020684
[649/5000][305/535][66792] Loss_D: -0.022792 Loss_G: -0.004521 Loss_D_real: -0.002000 Loss_D_fake 0.020792
[649/5000][310/535][66793] Loss_D: -0.024792 Loss_G: 0.013758 Loss_D_real: -0.008843 Loss_D_fake 0.015949
[649/5000][315/535][66794] Loss_D: -0.025089 Loss_G: 0.028424 Loss_D_real: -0.026304 Loss_D_fake -0.001215
[649/5000][320/535][66795] Loss_D: -0.024879 Loss_G: 0.006516 Loss_D_real: -0.012564 Loss_D_fake 0.012315
[649/5000][325/535][66796] Loss_D: -0.023969 Loss_G: 0.017559 Loss_D_real: -0.003692 Loss_D_fake 0.020278
[649/5000][330/535][66797] Loss_D: -0.024463 Loss_G: 0.004374 Loss_D_real: -0.004968 Loss_D_fake 0.019495
[649/5000][335/535][66798] Loss_D: -0.024583 Loss_G: 0.023673 Loss_D_real: -0.027398 Loss_D_fake -0.002815
[649/5000][340/535][66799] Loss_D: -0.024396 Loss_G: 0.022035 Loss_D_real: -0.020883 Loss_D_fake 0.003513
[649/5000][345/535][66800] Loss_D: -0.025376 Loss_G: 0.025990 Loss_D_real: -0.013368 Loss_D_fake 0.012009
[649/5000][350/535][66801] Loss_D: -0.024807 Loss_G: 0.002502 Loss_D_real: -0.004105 Loss_D_fake 0.020702
[649/5000][355/535][66802] Loss_D: -0.023230 Loss_G: 0.027836 Loss_D_real: -0.015599 Loss_D_fake 0.007631
[649/5000][360/535][66803] Loss_D: -0.022796 Loss_G: 0.029633 Loss_D_real: -0.035823 Loss_D_fake -0.013027
[649/5000][365/535][66804] Loss_D: -0.025174 Loss_G: -0.009052 Loss_D_real: 0.000511 Loss_D_fake 0.025684
[649/5000][370/535][66805] Loss_D: -0.023800 Loss_G: 0.023809 Loss_D_real: -0.013617 Loss_D_fake 0.010183
[649/5000][375/535][66806] Loss_D: -0.023842 Loss_G: 0.004073 Loss_D_real: -0.003380 Loss_D_fake 0.020462
[649/5000][380/535][66807] Loss_D: -0.021806 Loss_G: 0.031208 Loss_D_real: -0.035496 Loss_D_fake -0.013690
[649/5000][385/535][66808] Loss_D: -0.024166 Loss_G: 0.015882 Loss_D_real: -0.016460 Loss_D_fake 0.007706
[649/5000][390/535][66809] Loss_D: -0.022255 Loss_G: 0.022852 Loss_D_real: -0.025398 Loss_D_fake -0.003143
[649/5000][395/535][66810] Loss_D: -0.024682 Loss_G: 0.009488 Loss_D_real: -0.012582 Loss_D_fake 0.012100
[649/5000][400/535][66811] Loss_D: -0.022887 Loss_G: 0.026697 Loss_D_real: -0.013963 Loss_D_fake 0.008924
[649/5000][405/535][66812] Loss_D: -0.024774 Loss_G: 0.010195 Loss_D_real: -0.011347 Loss_D_fake 0.013427
[649/5000][410/535][66813] Loss_D: -0.023970 Loss_G: 0.012604 Loss_D_real: -0.013984 Loss_D_fake 0.009986
[649/5000][415/535][66814] Loss_D: -0.023581 Loss_G: -0.002098 Loss_D_real: -0.001094 Loss_D_fake 0.022487
[649/5000][420/535][66815] Loss_D: -0.023696 Loss_G: 0.023242 Loss_D_real: -0.012367 Loss_D_fake 0.011329
[649/5000][425/535][66816] Loss_D: -0.024516 Loss_G: 0.015402 Loss_D_real: -0.014972 Loss_D_fake 0.009544
[649/5000][430/535][66817] Loss_D: -0.025221 Loss_G: 0.002542 Loss_D_real: -0.004525 Loss_D_fake 0.020695
[649/5000][435/535][66818] Loss_D: -0.024740 Loss_G: 0.020367 Loss_D_real: -0.021823 Loss_D_fake 0.002917
[649/5000][440/535][66819] Loss_D: -0.023916 Loss_G: 0.006483 Loss_D_real: -0.011716 Loss_D_fake 0.012200
[649/5000][445/535][66820] Loss_D: -0.023728 Loss_G: 0.011212 Loss_D_real: -0.012673 Loss_D_fake 0.011056
[649/5000][450/535][66821] Loss_D: -0.023313 Loss_G: 0.011148 Loss_D_real: -0.013902 Loss_D_fake 0.009410
[649/5000][455/535][66822] Loss_D: -0.023030 Loss_G: 0.016720 Loss_D_real: -0.019805 Loss_D_fake 0.003225
[649/5000][460/535][66823] Loss_D: -0.024359 Loss_G: 0.021908 Loss_D_real: -0.020144 Loss_D_fake 0.004215
[649/5000][465/535][66824] Loss_D: -0.024196 Loss_G: 0.010726 Loss_D_real: -0.017008 Loss_D_fake 0.007189
[649/5000][470/535][66825] Loss_D: -0.025360 Loss_G: 0.016501 Loss_D_real: -0.019044 Loss_D_fake 0.006315
[649/5000][475/535][66826] Loss_D: -0.024750 Loss_G: 0.004047 Loss_D_real: -0.012342 Loss_D_fake 0.012408
[649/5000][480/535][66827] Loss_D: -0.026507 Loss_G: -0.000861 Loss_D_real: -0.006682 Loss_D_fake 0.019825
[649/5000][485/535][66828] Loss_D: -0.022534 Loss_G: 0.029933 Loss_D_real: -0.033066 Loss_D_fake -0.010531
[649/5000][490/535][66829] Loss_D: -0.024173 Loss_G: 0.005595 Loss_D_real: 0.000017 Loss_D_fake 0.024190
[649/5000][495/535][66830] Loss_D: -0.022309 Loss_G: 0.015083 Loss_D_real: -0.027161 Loss_D_fake -0.004851
[649/5000][500/535][66831] Loss_D: -0.022985 Loss_G: 0.022468 Loss_D_real: -0.028509 Loss_D_fake -0.005524
[649/5000][505/535][66832] Loss_D: -0.024086 Loss_G: 0.001747 Loss_D_real: -0.005405 Loss_D_fake 0.018681
[649/5000][510/535][66833] Loss_D: -0.022637 Loss_G: 0.021295 Loss_D_real: -0.030438 Loss_D_fake -0.007801
[649/5000][515/535][66834] Loss_D: -0.024051 Loss_G: 0.030992 Loss_D_real: -0.018138 Loss_D_fake 0.005913
[649/5000][520/535][66835] Loss_D: -0.024543 Loss_G: 0.002707 Loss_D_real: -0.011117 Loss_D_fake 0.013425
[649/5000][525/535][66836] Loss_D: -0.025266 Loss_G: 0.010472 Loss_D_real: -0.013420 Loss_D_fake 0.011846
[649/5000][530/535][66837] Loss_D: -0.024843 Loss_G: 0.015933 Loss_D_real: -0.011829 Loss_D_fake 0.013014
[649/5000][535/535][66838] Loss_D: -0.025539 Loss_G: 0.000203 Loss_D_real: -0.010115 Loss_D_fake 0.015423
[650/5000][5/535][66839] Loss_D: -0.023689 Loss_G: 0.005800 Loss_D_real: -0.002212 Loss_D_fake 0.021477
[650/5000][10/535][66840] Loss_D: -0.022626 Loss_G: 0.024165 Loss_D_real: -0.025143 Loss_D_fake -0.002517
[650/5000][15/535][66841] Loss_D: -0.024297 Loss_G: 0.005032 Loss_D_real: -0.019573 Loss_D_fake 0.004724
[650/5000][20/535][66842] Loss_D: -0.024241 Loss_G: 0.004681 Loss_D_real: -0.019262 Loss_D_fake 0.004979
[650/5000][25/535][66843] Loss_D: -0.023365 Loss_G: -0.008441 Loss_D_real: 0.008330 Loss_D_fake 0.031695
[650/5000][30/535][66844] Loss_D: -0.024272 Loss_G: 0.032141 Loss_D_real: -0.025524 Loss_D_fake -0.001252
[650/5000][35/535][66845] Loss_D: -0.024731 Loss_G: 0.006743 Loss_D_real: -0.012826 Loss_D_fake 0.011905
[650/5000][40/535][66846] Loss_D: -0.023979 Loss_G: 0.015250 Loss_D_real: -0.017154 Loss_D_fake 0.006825
[650/5000][45/535][66847] Loss_D: -0.024092 Loss_G: 0.020071 Loss_D_real: -0.019219 Loss_D_fake 0.004874
[650/5000][50/535][66848] Loss_D: -0.024085 Loss_G: 0.032380 Loss_D_real: -0.031341 Loss_D_fake -0.007256
[650/5000][55/535][66849] Loss_D: -0.024651 Loss_G: 0.005801 Loss_D_real: -0.012439 Loss_D_fake 0.012212
[650/5000][60/535][66850] Loss_D: -0.024517 Loss_G: 0.012655 Loss_D_real: -0.028234 Loss_D_fake -0.003717
[650/5000][65/535][66851] Loss_D: -0.024829 Loss_G: 0.005813 Loss_D_real: -0.009809 Loss_D_fake 0.015020
[650/5000][70/535][66852] Loss_D: -0.024465 Loss_G: 0.015217 Loss_D_real: -0.014264 Loss_D_fake 0.010202
[650/5000][75/535][66853] Loss_D: -0.023928 Loss_G: 0.011902 Loss_D_real: -0.011688 Loss_D_fake 0.012240
[650/5000][80/535][66854] Loss_D: -0.024424 Loss_G: 0.000842 Loss_D_real: -0.007382 Loss_D_fake 0.017042
[650/5000][85/535][66855] Loss_D: -0.024175 Loss_G: 0.022850 Loss_D_real: -0.017954 Loss_D_fake 0.006221
[650/5000][90/535][66856] Loss_D: -0.024851 Loss_G: 0.030971 Loss_D_real: -0.026744 Loss_D_fake -0.001894
[650/5000][95/535][66857] Loss_D: -0.023474 Loss_G: 0.012755 Loss_D_real: -0.015250 Loss_D_fake 0.008225
[650/5000][100/535][66858] Loss_D: -0.024713 Loss_G: 0.007192 Loss_D_real: -0.005439 Loss_D_fake 0.019274
[650/5000][105/535][66859] Loss_D: -0.024737 Loss_G: 0.019374 Loss_D_real: -0.014795 Loss_D_fake 0.009942
[650/5000][110/535][66860] Loss_D: -0.024426 Loss_G: 0.004476 Loss_D_real: -0.007944 Loss_D_fake 0.016482
[650/5000][115/535][66861] Loss_D: -0.024445 Loss_G: 0.004906 Loss_D_real: -0.017145 Loss_D_fake 0.007300
[650/5000][120/535][66862] Loss_D: -0.023996 Loss_G: 0.016295 Loss_D_real: -0.010725 Loss_D_fake 0.013271
[650/5000][125/535][66863] Loss_D: -0.023817 Loss_G: 0.029955 Loss_D_real: -0.025738 Loss_D_fake -0.001921
[650/5000][130/535][66864] Loss_D: -0.021951 Loss_G: -0.004620 Loss_D_real: -0.002446 Loss_D_fake 0.019505
[650/5000][135/535][66865] Loss_D: -0.023535 Loss_G: 0.025413 Loss_D_real: -0.025167 Loss_D_fake -0.001632
[650/5000][140/535][66866] Loss_D: -0.024404 Loss_G: 0.013428 Loss_D_real: -0.018928 Loss_D_fake 0.005475
[650/5000][145/535][66867] Loss_D: -0.023816 Loss_G: 0.012548 Loss_D_real: -0.018857 Loss_D_fake 0.004959
[650/5000][150/535][66868] Loss_D: -0.026051 Loss_G: -0.001127 Loss_D_real: -0.011398 Loss_D_fake 0.014653
[650/5000][155/535][66869] Loss_D: -0.025541 Loss_G: -0.004841 Loss_D_real: -0.013266 Loss_D_fake 0.012276
[650/5000][160/535][66870] Loss_D: -0.024475 Loss_G: 0.005120 Loss_D_real: -0.017787 Loss_D_fake 0.006688
[650/5000][165/535][66871] Loss_D: -0.023907 Loss_G: 0.005923 Loss_D_real: -0.004143 Loss_D_fake 0.019764
[650/5000][170/535][66872] Loss_D: -0.023711 Loss_G: -0.004730 Loss_D_real: 0.003907 Loss_D_fake 0.027618
[650/5000][175/535][66873] Loss_D: -0.024396 Loss_G: 0.023012 Loss_D_real: -0.024920 Loss_D_fake -0.000525
[650/5000][180/535][66874] Loss_D: -0.024868 Loss_G: 0.019615 Loss_D_real: -0.017513 Loss_D_fake 0.007356
[650/5000][185/535][66875] Loss_D: -0.024740 Loss_G: 0.032950 Loss_D_real: -0.029638 Loss_D_fake -0.004898
[650/5000][190/535][66876] Loss_D: -0.024668 Loss_G: 0.002648 Loss_D_real: -0.011643 Loss_D_fake 0.013025
[650/5000][195/535][66877] Loss_D: -0.023902 Loss_G: 0.025826 Loss_D_real: -0.015430 Loss_D_fake 0.008472
[650/5000][200/535][66878] Loss_D: -0.024449 Loss_G: -0.001467 Loss_D_real: -0.014007 Loss_D_fake 0.010443
[650/5000][205/535][66879] Loss_D: -0.023557 Loss_G: 0.019731 Loss_D_real: -0.013932 Loss_D_fake 0.009625
[650/5000][210/535][66880] Loss_D: -0.025448 Loss_G: 0.000677 Loss_D_real: -0.006964 Loss_D_fake 0.018484
[650/5000][215/535][66881] Loss_D: -0.023322 Loss_G: 0.019231 Loss_D_real: -0.024854 Loss_D_fake -0.001531
[650/5000][220/535][66882] Loss_D: -0.024075 Loss_G: 0.034993 Loss_D_real: -0.012624 Loss_D_fake 0.011451
[650/5000][225/535][66883] Loss_D: -0.024639 Loss_G: 0.002419 Loss_D_real: -0.010467 Loss_D_fake 0.014172
[650/5000][230/535][66884] Loss_D: -0.024221 Loss_G: 0.023117 Loss_D_real: -0.029025 Loss_D_fake -0.004804
[650/5000][235/535][66885] Loss_D: -0.023559 Loss_G: 0.014036 Loss_D_real: -0.019719 Loss_D_fake 0.003840
[650/5000][240/535][66886] Loss_D: -0.025185 Loss_G: 0.019537 Loss_D_real: -0.025343 Loss_D_fake -0.000158
[650/5000][245/535][66887] Loss_D: -0.024113 Loss_G: 0.009288 Loss_D_real: -0.015396 Loss_D_fake 0.008717
[650/5000][250/535][66888] Loss_D: -0.024141 Loss_G: 0.000637 Loss_D_real: -0.004530 Loss_D_fake 0.019611
[650/5000][255/535][66889] Loss_D: -0.022346 Loss_G: 0.022629 Loss_D_real: -0.018879 Loss_D_fake 0.003466
[650/5000][260/535][66890] Loss_D: -0.023639 Loss_G: -0.008472 Loss_D_real: 0.004033 Loss_D_fake 0.027672
[650/5000][265/535][66891] Loss_D: -0.022670 Loss_G: 0.003878 Loss_D_real: -0.007751 Loss_D_fake 0.014919
[650/5000][270/535][66892] Loss_D: -0.023537 Loss_G: 0.017934 Loss_D_real: -0.017088 Loss_D_fake 0.006448
[650/5000][275/535][66893] Loss_D: -0.025099 Loss_G: 0.005606 Loss_D_real: -0.004505 Loss_D_fake 0.020594
[650/5000][280/535][66894] Loss_D: -0.024966 Loss_G: 0.017123 Loss_D_real: -0.025104 Loss_D_fake -0.000138
[650/5000][285/535][66895] Loss_D: -0.026266 Loss_G: 0.013301 Loss_D_real: -0.005052 Loss_D_fake 0.021214
[650/5000][290/535][66896] Loss_D: -0.023330 Loss_G: -0.004363 Loss_D_real: -0.010362 Loss_D_fake 0.012968
[650/5000][295/535][66897] Loss_D: -0.025099 Loss_G: -0.007921 Loss_D_real: 0.005398 Loss_D_fake 0.030497
[650/5000][300/535][66898] Loss_D: -0.025315 Loss_G: 0.023443 Loss_D_real: -0.010643 Loss_D_fake 0.014671
[650/5000][305/535][66899] Loss_D: -0.025980 Loss_G: 0.004819 Loss_D_real: -0.006456 Loss_D_fake 0.019524
[650/5000][310/535][66900] Loss_D: -0.023986 Loss_G: 0.004287 Loss_D_real: -0.001129 Loss_D_fake 0.022858
[650/5000][315/535][66901] Loss_D: -0.024177 Loss_G: 0.022235 Loss_D_real: -0.011587 Loss_D_fake 0.012590
[650/5000][320/535][66902] Loss_D: -0.023301 Loss_G: 0.010879 Loss_D_real: -0.005477 Loss_D_fake 0.017824
[650/5000][325/535][66903] Loss_D: -0.023875 Loss_G: 0.034227 Loss_D_real: -0.020914 Loss_D_fake 0.002961
[650/5000][330/535][66904] Loss_D: -0.022574 Loss_G: -0.009546 Loss_D_real: 0.003745 Loss_D_fake 0.026319
[650/5000][335/535][66905] Loss_D: -0.021793 Loss_G: 0.022048 Loss_D_real: -0.037655 Loss_D_fake -0.015862
[650/5000][340/535][66906] Loss_D: -0.024590 Loss_G: 0.007590 Loss_D_real: -0.008157 Loss_D_fake 0.016433
[650/5000][345/535][66907] Loss_D: -0.024184 Loss_G: 0.007606 Loss_D_real: -0.007484 Loss_D_fake 0.016699
[650/5000][350/535][66908] Loss_D: -0.023918 Loss_G: 0.005658 Loss_D_real: -0.002928 Loss_D_fake 0.020990
[650/5000][355/535][66909] Loss_D: -0.022852 Loss_G: 0.032350 Loss_D_real: -0.031526 Loss_D_fake -0.008674
[650/5000][360/535][66910] Loss_D: -0.024179 Loss_G: 0.006651 Loss_D_real: -0.001926 Loss_D_fake 0.022253
[650/5000][365/535][66911] Loss_D: -0.023960 Loss_G: 0.013309 Loss_D_real: -0.023204 Loss_D_fake 0.000757
[650/5000][370/535][66912] Loss_D: -0.024571 Loss_G: 0.016445 Loss_D_real: -0.010881 Loss_D_fake 0.013689
[650/5000][375/535][66913] Loss_D: -0.025168 Loss_G: 0.022757 Loss_D_real: -0.012727 Loss_D_fake 0.012441
[650/5000][380/535][66914] Loss_D: -0.024658 Loss_G: -0.008050 Loss_D_real: 0.003363 Loss_D_fake 0.028021
[650/5000][385/535][66915] Loss_D: -0.024155 Loss_G: 0.015337 Loss_D_real: -0.017844 Loss_D_fake 0.006310
[650/5000][390/535][66916] Loss_D: -0.023748 Loss_G: -0.005639 Loss_D_real: -0.004382 Loss_D_fake 0.019366
[650/5000][395/535][66917] Loss_D: -0.023836 Loss_G: 0.003569 Loss_D_real: -0.008391 Loss_D_fake 0.015446
[650/5000][400/535][66918] Loss_D: -0.024507 Loss_G: 0.028477 Loss_D_real: -0.016336 Loss_D_fake 0.008172
[650/5000][405/535][66919] Loss_D: -0.024285 Loss_G: -0.004234 Loss_D_real: -0.000357 Loss_D_fake 0.023928
[650/5000][410/535][66920] Loss_D: -0.022859 Loss_G: 0.026514 Loss_D_real: -0.020226 Loss_D_fake 0.002633
[650/5000][415/535][66921] Loss_D: -0.022406 Loss_G: -0.009163 Loss_D_real: 0.008350 Loss_D_fake 0.030756
[650/5000][420/535][66922] Loss_D: -0.024498 Loss_G: 0.010799 Loss_D_real: -0.022004 Loss_D_fake 0.002494
[650/5000][425/535][66923] Loss_D: -0.025717 Loss_G: -0.003530 Loss_D_real: -0.002646 Loss_D_fake 0.023070
[650/5000][430/535][66924] Loss_D: -0.023209 Loss_G: 0.023378 Loss_D_real: -0.031628 Loss_D_fake -0.008419
[650/5000][435/535][66925] Loss_D: -0.022266 Loss_G: 0.037008 Loss_D_real: -0.027829 Loss_D_fake -0.005564
[650/5000][440/535][66926] Loss_D: -0.023783 Loss_G: 0.003567 Loss_D_real: 0.006809 Loss_D_fake 0.030592
[650/5000][445/535][66927] Loss_D: -0.023310 Loss_G: 0.005802 Loss_D_real: -0.008561 Loss_D_fake 0.014749
[650/5000][450/535][66928] Loss_D: -0.023785 Loss_G: 0.010866 Loss_D_real: -0.010468 Loss_D_fake 0.013316
[650/5000][455/535][66929] Loss_D: -0.024111 Loss_G: 0.006792 Loss_D_real: -0.004688 Loss_D_fake 0.019423
[650/5000][460/535][66930] Loss_D: -0.022874 Loss_G: 0.037419 Loss_D_real: -0.022599 Loss_D_fake 0.000275
[650/5000][465/535][66931] Loss_D: -0.023446 Loss_G: -0.008245 Loss_D_real: -0.008223 Loss_D_fake 0.015223
[650/5000][470/535][66932] Loss_D: -0.024037 Loss_G: 0.018224 Loss_D_real: -0.023204 Loss_D_fake 0.000833
[650/5000][475/535][66933] Loss_D: -0.023521 Loss_G: -0.016673 Loss_D_real: 0.004425 Loss_D_fake 0.027946
[650/5000][480/535][66934] Loss_D: -0.023343 Loss_G: 0.010367 Loss_D_real: -0.016500 Loss_D_fake 0.006843
[650/5000][485/535][66935] Loss_D: -0.022448 Loss_G: 0.008501 Loss_D_real: -0.011263 Loss_D_fake 0.011185
[650/5000][490/535][66936] Loss_D: -0.023620 Loss_G: 0.018153 Loss_D_real: -0.014911 Loss_D_fake 0.008708
[650/5000][495/535][66937] Loss_D: -0.024099 Loss_G: -0.000458 Loss_D_real: -0.001805 Loss_D_fake 0.022293
[650/5000][500/535][66938] Loss_D: -0.024323 Loss_G: 0.038077 Loss_D_real: -0.025696 Loss_D_fake -0.001373
[650/5000][505/535][66939] Loss_D: -0.024339 Loss_G: 0.021105 Loss_D_real: -0.010491 Loss_D_fake 0.013848
[650/5000][510/535][66940] Loss_D: -0.023927 Loss_G: 0.012383 Loss_D_real: -0.013232 Loss_D_fake 0.010695
[650/5000][515/535][66941] Loss_D: -0.024125 Loss_G: 0.016201 Loss_D_real: -0.006372 Loss_D_fake 0.017753
[650/5000][520/535][66942] Loss_D: -0.023489 Loss_G: -0.003669 Loss_D_real: -0.012679 Loss_D_fake 0.010810
[650/5000][525/535][66943] Loss_D: -0.023841 Loss_G: 0.012145 Loss_D_real: -0.019443 Loss_D_fake 0.004399
[650/5000][530/535][66944] Loss_D: -0.023808 Loss_G: 0.029257 Loss_D_real: -0.027500 Loss_D_fake -0.003691
[650/5000][535/535][66945] Loss_D: -0.022916 Loss_G: -0.023110 Loss_D_real: 0.007272 Loss_D_fake 0.030188
[651/5000][5/535][66946] Loss_D: -0.023255 Loss_G: 0.021170 Loss_D_real: -0.019605 Loss_D_fake 0.003650
[651/5000][10/535][66947] Loss_D: -0.024588 Loss_G: 0.006251 Loss_D_real: -0.014750 Loss_D_fake 0.009839
[651/5000][15/535][66948] Loss_D: -0.023490 Loss_G: 0.027728 Loss_D_real: -0.014480 Loss_D_fake 0.009010
[651/5000][20/535][66949] Loss_D: -0.025704 Loss_G: 0.002921 Loss_D_real: -0.009907 Loss_D_fake 0.015797
[651/5000][25/535][66950] Loss_D: -0.023642 Loss_G: 0.017934 Loss_D_real: -0.022172 Loss_D_fake 0.001470
[651/5000][30/535][66951] Loss_D: -0.023868 Loss_G: 0.013291 Loss_D_real: -0.020908 Loss_D_fake 0.002960
[651/5000][35/535][66952] Loss_D: -0.025103 Loss_G: 0.015439 Loss_D_real: -0.027361 Loss_D_fake -0.002259
[651/5000][40/535][66953] Loss_D: -0.024825 Loss_G: 0.003876 Loss_D_real: 0.002287 Loss_D_fake 0.027113
[651/5000][45/535][66954] Loss_D: -0.023929 Loss_G: 0.020777 Loss_D_real: -0.019639 Loss_D_fake 0.004290
[651/5000][50/535][66955] Loss_D: -0.024880 Loss_G: 0.030216 Loss_D_real: -0.015326 Loss_D_fake 0.009554
[651/5000][55/535][66956] Loss_D: -0.025256 Loss_G: 0.019307 Loss_D_real: -0.009805 Loss_D_fake 0.015451
[651/5000][60/535][66957] Loss_D: -0.023863 Loss_G: 0.012274 Loss_D_real: -0.018701 Loss_D_fake 0.005161
[651/5000][65/535][66958] Loss_D: -0.024637 Loss_G: 0.007602 Loss_D_real: -0.012420 Loss_D_fake 0.012217
[651/5000][70/535][66959] Loss_D: -0.023636 Loss_G: 0.021778 Loss_D_real: -0.014499 Loss_D_fake 0.009137
[651/5000][75/535][66960] Loss_D: -0.024735 Loss_G: 0.014970 Loss_D_real: -0.004515 Loss_D_fake 0.020220
[651/5000][80/535][66961] Loss_D: -0.025182 Loss_G: 0.005867 Loss_D_real: -0.004328 Loss_D_fake 0.020855
[651/5000][85/535][66962] Loss_D: -0.023816 Loss_G: 0.009450 Loss_D_real: -0.014199 Loss_D_fake 0.009617
[651/5000][90/535][66963] Loss_D: -0.024023 Loss_G: 0.031387 Loss_D_real: -0.032503 Loss_D_fake -0.008480
[651/5000][95/535][66964] Loss_D: -0.024878 Loss_G: 0.019261 Loss_D_real: -0.023224 Loss_D_fake 0.001654
[651/5000][100/535][66965] Loss_D: -0.024915 Loss_G: -0.010601 Loss_D_real: -0.003105 Loss_D_fake 0.021810
[651/5000][105/535][66966] Loss_D: -0.024228 Loss_G: 0.021710 Loss_D_real: -0.015654 Loss_D_fake 0.008574
[651/5000][110/535][66967] Loss_D: -0.024507 Loss_G: 0.008331 Loss_D_real: -0.003911 Loss_D_fake 0.020596
[651/5000][115/535][66968] Loss_D: -0.025137 Loss_G: 0.013064 Loss_D_real: -0.012185 Loss_D_fake 0.012952
[651/5000][120/535][66969] Loss_D: -0.024647 Loss_G: 0.019148 Loss_D_real: -0.016110 Loss_D_fake 0.008537
[651/5000][125/535][66970] Loss_D: -0.024599 Loss_G: 0.006384 Loss_D_real: -0.002226 Loss_D_fake 0.022372
[651/5000][130/535][66971] Loss_D: -0.024292 Loss_G: 0.010963 Loss_D_real: -0.020703 Loss_D_fake 0.003589
[651/5000][135/535][66972] Loss_D: -0.023957 Loss_G: 0.012929 Loss_D_real: -0.017824 Loss_D_fake 0.006133
[651/5000][140/535][66973] Loss_D: -0.025014 Loss_G: 0.031152 Loss_D_real: -0.025991 Loss_D_fake -0.000977
[651/5000][145/535][66974] Loss_D: -0.023829 Loss_G: 0.028318 Loss_D_real: -0.031257 Loss_D_fake -0.007427
[651/5000][150/535][66975] Loss_D: -0.025436 Loss_G: 0.017606 Loss_D_real: -0.017280 Loss_D_fake 0.008156
[651/5000][155/535][66976] Loss_D: -0.025008 Loss_G: 0.016066 Loss_D_real: -0.024362 Loss_D_fake 0.000646
[651/5000][160/535][66977] Loss_D: -0.023994 Loss_G: 0.035703 Loss_D_real: -0.035154 Loss_D_fake -0.011160
[651/5000][165/535][66978] Loss_D: -0.025216 Loss_G: 0.018153 Loss_D_real: -0.018318 Loss_D_fake 0.006899
[651/5000][170/535][66979] Loss_D: -0.026067 Loss_G: 0.020801 Loss_D_real: -0.010695 Loss_D_fake 0.015372
[651/5000][175/535][66980] Loss_D: -0.024156 Loss_G: -0.009081 Loss_D_real: -0.004158 Loss_D_fake 0.019998
[651/5000][180/535][66981] Loss_D: -0.025177 Loss_G: -0.003322 Loss_D_real: -0.001489 Loss_D_fake 0.023688
[651/5000][185/535][66982] Loss_D: -0.023519 Loss_G: 0.031844 Loss_D_real: -0.033188 Loss_D_fake -0.009669
[651/5000][190/535][66983] Loss_D: -0.024439 Loss_G: -0.003414 Loss_D_real: 0.002607 Loss_D_fake 0.027046
[651/5000][195/535][66984] Loss_D: -0.023460 Loss_G: 0.020394 Loss_D_real: -0.020408 Loss_D_fake 0.003052
[651/5000][200/535][66985] Loss_D: -0.024553 Loss_G: 0.007322 Loss_D_real: -0.012801 Loss_D_fake 0.011751
[651/5000][205/535][66986] Loss_D: -0.024746 Loss_G: 0.008454 Loss_D_real: -0.008264 Loss_D_fake 0.016482
[651/5000][210/535][66987] Loss_D: -0.025107 Loss_G: 0.010130 Loss_D_real: -0.011043 Loss_D_fake 0.014064
[651/5000][215/535][66988] Loss_D: -0.024602 Loss_G: 0.021460 Loss_D_real: -0.018682 Loss_D_fake 0.005920
[651/5000][220/535][66989] Loss_D: -0.024370 Loss_G: 0.024377 Loss_D_real: -0.022532 Loss_D_fake 0.001837
[651/5000][225/535][66990] Loss_D: -0.024240 Loss_G: 0.004626 Loss_D_real: -0.010309 Loss_D_fake 0.013931
[651/5000][230/535][66991] Loss_D: -0.022924 Loss_G: -0.006944 Loss_D_real: -0.009677 Loss_D_fake 0.013247
[651/5000][235/535][66992] Loss_D: -0.023751 Loss_G: 0.025512 Loss_D_real: -0.022217 Loss_D_fake 0.001534
[651/5000][240/535][66993] Loss_D: -0.024956 Loss_G: 0.004831 Loss_D_real: -0.011684 Loss_D_fake 0.013272
[651/5000][245/535][66994] Loss_D: -0.023802 Loss_G: 0.017677 Loss_D_real: -0.014925 Loss_D_fake 0.008877
[651/5000][250/535][66995] Loss_D: -0.022636 Loss_G: -0.015239 Loss_D_real: 0.002004 Loss_D_fake 0.024640
[651/5000][255/535][66996] Loss_D: -0.023637 Loss_G: 0.022808 Loss_D_real: -0.023383 Loss_D_fake 0.000254
[651/5000][260/535][66997] Loss_D: -0.023894 Loss_G: 0.024630 Loss_D_real: -0.011168 Loss_D_fake 0.012726
[651/5000][265/535][66998] Loss_D: -0.023253 Loss_G: -0.017563 Loss_D_real: 0.000043 Loss_D_fake 0.023297
[651/5000][270/535][66999] Loss_D: -0.024708 Loss_G: 0.014346 Loss_D_real: -0.002371 Loss_D_fake 0.022337
[651/5000][275/535][67000] Loss_D: -0.023183 Loss_G: 0.013004 Loss_D_real: 0.002353 Loss_D_fake 0.025536
[651/5000][375/535][67001] Loss_D: -0.026615 Loss_G: 0.001273 Loss_D_real: -0.006175 Loss_D_fake 0.020440
[651/5000][380/535][67002] Loss_D: -0.023473 Loss_G: 0.013450 Loss_D_real: -0.019398 Loss_D_fake 0.004075
[651/5000][385/535][67003] Loss_D: -0.024037 Loss_G: 0.003277 Loss_D_real: -0.006824 Loss_D_fake 0.017214
[651/5000][390/535][67004] Loss_D: -0.022751 Loss_G: 0.022383 Loss_D_real: -0.021361 Loss_D_fake 0.001390
[651/5000][395/535][67005] Loss_D: -0.022642 Loss_G: 0.026205 Loss_D_real: -0.019162 Loss_D_fake 0.003480
[651/5000][400/535][67006] Loss_D: -0.023551 Loss_G: 0.014236 Loss_D_real: -0.016200 Loss_D_fake 0.007351
[651/5000][405/535][67007] Loss_D: -0.024206 Loss_G: 0.018052 Loss_D_real: -0.005751 Loss_D_fake 0.018455
[651/5000][410/535][67008] Loss_D: -0.022176 Loss_G: 0.024517 Loss_D_real: -0.027178 Loss_D_fake -0.005001
[651/5000][415/535][67009] Loss_D: -0.024441 Loss_G: 0.014458 Loss_D_real: -0.017079 Loss_D_fake 0.007362
[651/5000][420/535][67010] Loss_D: -0.023823 Loss_G: 0.007683 Loss_D_real: -0.019521 Loss_D_fake 0.004302
[651/5000][425/535][67011] Loss_D: -0.023872 Loss_G: 0.019339 Loss_D_real: -0.021007 Loss_D_fake 0.002865
[651/5000][430/535][67012] Loss_D: -0.023488 Loss_G: -0.007616 Loss_D_real: -0.004452 Loss_D_fake 0.019036
[651/5000][435/535][67013] Loss_D: -0.022353 Loss_G: 0.014749 Loss_D_real: -0.012050 Loss_D_fake 0.010303
[651/5000][440/535][67014] Loss_D: -0.021919 Loss_G: -0.001730 Loss_D_real: -0.010636 Loss_D_fake 0.011284
[651/5000][445/535][67015] Loss_D: -0.024963 Loss_G: 0.018712 Loss_D_real: -0.015480 Loss_D_fake 0.009483
[651/5000][450/535][67016] Loss_D: -0.025269 Loss_G: 0.011239 Loss_D_real: -0.012880 Loss_D_fake 0.012390
[651/5000][455/535][67017] Loss_D: -0.021588 Loss_G: 0.034277 Loss_D_real: -0.023791 Loss_D_fake -0.002203
[651/5000][460/535][67018] Loss_D: -0.023348 Loss_G: 0.014783 Loss_D_real: -0.019161 Loss_D_fake 0.004187
[651/5000][465/535][67019] Loss_D: -0.023846 Loss_G: 0.006916 Loss_D_real: -0.005625 Loss_D_fake 0.018221
[651/5000][470/535][67020] Loss_D: -0.022628 Loss_G: 0.012610 Loss_D_real: -0.006705 Loss_D_fake 0.015923
[651/5000][475/535][67021] Loss_D: -0.022459 Loss_G: 0.008214 Loss_D_real: -0.012097 Loss_D_fake 0.010361
[651/5000][480/535][67022] Loss_D: -0.024789 Loss_G: 0.009956 Loss_D_real: -0.012005 Loss_D_fake 0.012785
[651/5000][485/535][67023] Loss_D: -0.020984 Loss_G: 0.030593 Loss_D_real: -0.032618 Loss_D_fake -0.011633
[651/5000][490/535][67024] Loss_D: -0.024043 Loss_G: -0.011662 Loss_D_real: -0.007024 Loss_D_fake 0.017019
[651/5000][495/535][67025] Loss_D: -0.022101 Loss_G: -0.001089 Loss_D_real: 0.011523 Loss_D_fake 0.033623
[651/5000][500/535][67026] Loss_D: -0.023739 Loss_G: 0.018430 Loss_D_real: -0.024561 Loss_D_fake -0.000821
[651/5000][505/535][67027] Loss_D: -0.024371 Loss_G: 0.021457 Loss_D_real: -0.016691 Loss_D_fake 0.007679
[651/5000][510/535][67028] Loss_D: -0.024953 Loss_G: 0.011526 Loss_D_real: -0.014681 Loss_D_fake 0.010272
[651/5000][515/535][67029] Loss_D: -0.025277 Loss_G: 0.021218 Loss_D_real: -0.012133 Loss_D_fake 0.013143
[651/5000][520/535][67030] Loss_D: -0.024527 Loss_G: 0.007268 Loss_D_real: -0.012614 Loss_D_fake 0.011912
[651/5000][525/535][67031] Loss_D: -0.025319 Loss_G: 0.019085 Loss_D_real: -0.024113 Loss_D_fake 0.001206
[651/5000][530/535][67032] Loss_D: -0.025019 Loss_G: 0.010145 Loss_D_real: -0.009311 Loss_D_fake 0.015708
[651/5000][535/535][67033] Loss_D: -0.023457 Loss_G: 0.029957 Loss_D_real: -0.038703 Loss_D_fake -0.015246
[652/5000][5/535][67034] Loss_D: -0.024165 Loss_G: 0.002624 Loss_D_real: -0.002918 Loss_D_fake 0.021246
[652/5000][10/535][67035] Loss_D: -0.021835 Loss_G: 0.024000 Loss_D_real: -0.028570 Loss_D_fake -0.006735
[652/5000][15/535][67036] Loss_D: -0.023577 Loss_G: 0.015704 Loss_D_real: -0.008521 Loss_D_fake 0.015056
[652/5000][20/535][67037] Loss_D: -0.023906 Loss_G: 0.016711 Loss_D_real: -0.009057 Loss_D_fake 0.014849
[652/5000][25/535][67038] Loss_D: -0.022841 Loss_G: -0.004848 Loss_D_real: -0.001892 Loss_D_fake 0.020949
[652/5000][30/535][67039] Loss_D: -0.024155 Loss_G: 0.022872 Loss_D_real: -0.025798 Loss_D_fake -0.001643
[652/5000][35/535][67040] Loss_D: -0.024900 Loss_G: 0.003171 Loss_D_real: -0.010132 Loss_D_fake 0.014768
[652/5000][40/535][67041] Loss_D: -0.024831 Loss_G: 0.013757 Loss_D_real: -0.014641 Loss_D_fake 0.010190
[652/5000][45/535][67042] Loss_D: -0.024127 Loss_G: 0.003131 Loss_D_real: -0.009696 Loss_D_fake 0.014430
[652/5000][50/535][67043] Loss_D: -0.024454 Loss_G: 0.013682 Loss_D_real: -0.024756 Loss_D_fake -0.000302
[652/5000][55/535][67044] Loss_D: -0.023456 Loss_G: 0.019451 Loss_D_real: -0.021531 Loss_D_fake 0.001924
[652/5000][60/535][67045] Loss_D: -0.022949 Loss_G: 0.029067 Loss_D_real: -0.018744 Loss_D_fake 0.004205
[652/5000][65/535][67046] Loss_D: -0.024298 Loss_G: 0.022838 Loss_D_real: -0.026797 Loss_D_fake -0.002499
[652/5000][70/535][67047] Loss_D: -0.024105 Loss_G: 0.002908 Loss_D_real: -0.001100 Loss_D_fake 0.023005
[652/5000][75/535][67048] Loss_D: -0.023096 Loss_G: 0.006966 Loss_D_real: -0.002599 Loss_D_fake 0.020496
[652/5000][80/535][67049] Loss_D: -0.024670 Loss_G: 0.005734 Loss_D_real: -0.011526 Loss_D_fake 0.013145
[652/5000][85/535][67050] Loss_D: -0.024706 Loss_G: 0.014439 Loss_D_real: -0.018005 Loss_D_fake 0.006702
[652/5000][90/535][67051] Loss_D: -0.023214 Loss_G: 0.026012 Loss_D_real: -0.023184 Loss_D_fake 0.000030
[652/5000][95/535][67052] Loss_D: -0.023832 Loss_G: 0.005998 Loss_D_real: -0.003847 Loss_D_fake 0.019985
[652/5000][100/535][67053] Loss_D: -0.023839 Loss_G: 0.019790 Loss_D_real: -0.014477 Loss_D_fake 0.009362
[652/5000][105/535][67054] Loss_D: -0.023120 Loss_G: 0.022372 Loss_D_real: -0.022062 Loss_D_fake 0.001058
[652/5000][110/535][67055] Loss_D: -0.025018 Loss_G: 0.024896 Loss_D_real: -0.030210 Loss_D_fake -0.005192
[652/5000][115/535][67056] Loss_D: -0.025388 Loss_G: 0.006105 Loss_D_real: -0.015042 Loss_D_fake 0.010346
[652/5000][120/535][67057] Loss_D: -0.023388 Loss_G: 0.013361 Loss_D_real: -0.015297 Loss_D_fake 0.008090
[652/5000][125/535][67058] Loss_D: -0.025514 Loss_G: 0.003160 Loss_D_real: -0.018362 Loss_D_fake 0.007152
[652/5000][130/535][67059] Loss_D: -0.024972 Loss_G: 0.013574 Loss_D_real: -0.008846 Loss_D_fake 0.016126
[652/5000][135/535][67060] Loss_D: -0.025646 Loss_G: -0.000385 Loss_D_real: -0.011470 Loss_D_fake 0.014177
[652/5000][140/535][67061] Loss_D: -0.024986 Loss_G: 0.020812 Loss_D_real: -0.019782 Loss_D_fake 0.005204
[652/5000][145/535][67062] Loss_D: -0.025380 Loss_G: 0.001779 Loss_D_real: -0.000981 Loss_D_fake 0.024399
[652/5000][150/535][67063] Loss_D: -0.025117 Loss_G: 0.009999 Loss_D_real: -0.004031 Loss_D_fake 0.021086
[652/5000][155/535][67064] Loss_D: -0.023715 Loss_G: -0.008561 Loss_D_real: 0.003050 Loss_D_fake 0.026765
[652/5000][160/535][67065] Loss_D: -0.023130 Loss_G: 0.024538 Loss_D_real: -0.030767 Loss_D_fake -0.007637
[652/5000][165/535][67066] Loss_D: -0.023917 Loss_G: 0.014151 Loss_D_real: -0.014369 Loss_D_fake 0.009547
[652/5000][170/535][67067] Loss_D: -0.025501 Loss_G: 0.012235 Loss_D_real: -0.021861 Loss_D_fake 0.003640
[652/5000][175/535][67068] Loss_D: -0.025484 Loss_G: 0.007997 Loss_D_real: -0.005845 Loss_D_fake 0.019638
[652/5000][180/535][67069] Loss_D: -0.025324 Loss_G: 0.016308 Loss_D_real: -0.023552 Loss_D_fake 0.001772
[652/5000][185/535][67070] Loss_D: -0.023111 Loss_G: 0.030291 Loss_D_real: -0.022152 Loss_D_fake 0.000959
[652/5000][190/535][67071] Loss_D: -0.025932 Loss_G: 0.000909 Loss_D_real: -0.013317 Loss_D_fake 0.012614
[652/5000][195/535][67072] Loss_D: -0.024043 Loss_G: 0.003499 Loss_D_real: -0.000542 Loss_D_fake 0.023501
[652/5000][200/535][67073] Loss_D: -0.023258 Loss_G: 0.014885 Loss_D_real: -0.018144 Loss_D_fake 0.005114
[652/5000][205/535][67074] Loss_D: -0.024257 Loss_G: 0.012432 Loss_D_real: -0.016887 Loss_D_fake 0.007370
[652/5000][210/535][67075] Loss_D: -0.023526 Loss_G: 0.003004 Loss_D_real: -0.004607 Loss_D_fake 0.018919
[652/5000][215/535][67076] Loss_D: -0.024517 Loss_G: 0.035260 Loss_D_real: -0.019129 Loss_D_fake 0.005388
[652/5000][220/535][67077] Loss_D: -0.024360 Loss_G: 0.012992 Loss_D_real: -0.009430 Loss_D_fake 0.014930
[652/5000][225/535][67078] Loss_D: -0.024566 Loss_G: 0.002034 Loss_D_real: -0.020662 Loss_D_fake 0.003903
[652/5000][230/535][67079] Loss_D: -0.021712 Loss_G: 0.033265 Loss_D_real: -0.028787 Loss_D_fake -0.007075
[652/5000][235/535][67080] Loss_D: -0.023606 Loss_G: 0.015904 Loss_D_real: -0.018981 Loss_D_fake 0.004626
[652/5000][240/535][67081] Loss_D: -0.023777 Loss_G: 0.012251 Loss_D_real: -0.017404 Loss_D_fake 0.006373
[652/5000][245/535][67082] Loss_D: -0.023981 Loss_G: 0.001820 Loss_D_real: 0.000279 Loss_D_fake 0.024260
[652/5000][250/535][67083] Loss_D: -0.024589 Loss_G: 0.001006 Loss_D_real: -0.005632 Loss_D_fake 0.018956
[652/5000][255/535][67084] Loss_D: -0.023937 Loss_G: 0.015598 Loss_D_real: -0.026446 Loss_D_fake -0.002509
[652/5000][260/535][67085] Loss_D: -0.023919 Loss_G: -0.005038 Loss_D_real: -0.005419 Loss_D_fake 0.018500
[652/5000][265/535][67086] Loss_D: -0.023098 Loss_G: 0.022558 Loss_D_real: -0.025056 Loss_D_fake -0.001958
[652/5000][270/535][67087] Loss_D: -0.024732 Loss_G: 0.022521 Loss_D_real: -0.019702 Loss_D_fake 0.005030
[652/5000][275/535][67088] Loss_D: -0.024354 Loss_G: 0.021965 Loss_D_real: -0.014015 Loss_D_fake 0.010339
[652/5000][280/535][67089] Loss_D: -0.024097 Loss_G: 0.031729 Loss_D_real: -0.027528 Loss_D_fake -0.003431
[652/5000][285/535][67090] Loss_D: -0.024789 Loss_G: 0.027372 Loss_D_real: -0.024869 Loss_D_fake -0.000080
[652/5000][290/535][67091] Loss_D: -0.024710 Loss_G: 0.016032 Loss_D_real: -0.012271 Loss_D_fake 0.012439
[652/5000][295/535][67092] Loss_D: -0.025149 Loss_G: 0.014588 Loss_D_real: -0.014630 Loss_D_fake 0.010519
[652/5000][300/535][67093] Loss_D: -0.023821 Loss_G: 0.001674 Loss_D_real: -0.010711 Loss_D_fake 0.013110
[652/5000][305/535][67094] Loss_D: -0.023736 Loss_G: 0.006841 Loss_D_real: -0.006889 Loss_D_fake 0.016847
[652/5000][310/535][67095] Loss_D: -0.023045 Loss_G: 0.005116 Loss_D_real: -0.023552 Loss_D_fake -0.000507
[652/5000][315/535][67096] Loss_D: -0.023542 Loss_G: 0.032974 Loss_D_real: -0.028944 Loss_D_fake -0.005402
[652/5000][320/535][67097] Loss_D: -0.023146 Loss_G: 0.011781 Loss_D_real: -0.016826 Loss_D_fake 0.006320
[652/5000][325/535][67098] Loss_D: -0.022006 Loss_G: -0.006815 Loss_D_real: 0.006514 Loss_D_fake 0.028519
[652/5000][330/535][67099] Loss_D: -0.023154 Loss_G: 0.023337 Loss_D_real: -0.026630 Loss_D_fake -0.003475
[652/5000][335/535][67100] Loss_D: -0.024722 Loss_G: 0.006688 Loss_D_real: -0.013526 Loss_D_fake 0.011196
[652/5000][340/535][67101] Loss_D: -0.023637 Loss_G: 0.026370 Loss_D_real: -0.037169 Loss_D_fake -0.013532
[652/5000][345/535][67102] Loss_D: -0.024112 Loss_G: 0.006402 Loss_D_real: -0.015198 Loss_D_fake 0.008914
[652/5000][350/535][67103] Loss_D: -0.024457 Loss_G: 0.033400 Loss_D_real: -0.019709 Loss_D_fake 0.004748
[652/5000][355/535][67104] Loss_D: -0.024026 Loss_G: -0.000904 Loss_D_real: -0.009926 Loss_D_fake 0.014100
[652/5000][360/535][67105] Loss_D: -0.022663 Loss_G: -0.005925 Loss_D_real: -0.007397 Loss_D_fake 0.015266
[652/5000][365/535][67106] Loss_D: -0.023733 Loss_G: 0.019102 Loss_D_real: -0.020335 Loss_D_fake 0.003398
[652/5000][370/535][67107] Loss_D: -0.024659 Loss_G: 0.002310 Loss_D_real: -0.004107 Loss_D_fake 0.020552
[652/5000][375/535][67108] Loss_D: -0.025791 Loss_G: 0.017344 Loss_D_real: -0.015576 Loss_D_fake 0.010216
[652/5000][380/535][67109] Loss_D: -0.023197 Loss_G: -0.009390 Loss_D_real: 0.006669 Loss_D_fake 0.029866
[652/5000][385/535][67110] Loss_D: -0.024091 Loss_G: 0.004937 Loss_D_real: -0.010671 Loss_D_fake 0.013419
[652/5000][390/535][67111] Loss_D: -0.024749 Loss_G: 0.005270 Loss_D_real: -0.020554 Loss_D_fake 0.004195
[652/5000][395/535][67112] Loss_D: -0.024525 Loss_G: 0.027027 Loss_D_real: -0.023973 Loss_D_fake 0.000553
[652/5000][400/535][67113] Loss_D: -0.024162 Loss_G: 0.021413 Loss_D_real: -0.019554 Loss_D_fake 0.004608
[652/5000][405/535][67114] Loss_D: -0.022527 Loss_G: 0.036870 Loss_D_real: -0.024936 Loss_D_fake -0.002409
[652/5000][410/535][67115] Loss_D: -0.022447 Loss_G: -0.000328 Loss_D_real: 0.003655 Loss_D_fake 0.026102
[652/5000][415/535][67116] Loss_D: -0.023644 Loss_G: 0.012510 Loss_D_real: -0.017277 Loss_D_fake 0.006366
[652/5000][420/535][67117] Loss_D: -0.022376 Loss_G: 0.026892 Loss_D_real: -0.024777 Loss_D_fake -0.002401
[652/5000][425/535][67118] Loss_D: -0.024473 Loss_G: 0.012458 Loss_D_real: -0.007197 Loss_D_fake 0.017276
[652/5000][430/535][67119] Loss_D: -0.024365 Loss_G: 0.026584 Loss_D_real: -0.032707 Loss_D_fake -0.008342
[652/5000][435/535][67120] Loss_D: -0.023407 Loss_G: 0.008243 Loss_D_real: -0.009790 Loss_D_fake 0.013617
[652/5000][440/535][67121] Loss_D: -0.023495 Loss_G: 0.004776 Loss_D_real: -0.013093 Loss_D_fake 0.010403
[652/5000][445/535][67122] Loss_D: -0.023841 Loss_G: 0.003659 Loss_D_real: -0.008868 Loss_D_fake 0.014973
[652/5000][450/535][67123] Loss_D: -0.021216 Loss_G: 0.033421 Loss_D_real: -0.025371 Loss_D_fake -0.004155
[652/5000][455/535][67124] Loss_D: -0.024355 Loss_G: 0.005202 Loss_D_real: -0.002011 Loss_D_fake 0.022344
[652/5000][460/535][67125] Loss_D: -0.024276 Loss_G: -0.001272 Loss_D_real: -0.008953 Loss_D_fake 0.015323
[652/5000][465/535][67126] Loss_D: -0.023535 Loss_G: 0.027410 Loss_D_real: -0.025412 Loss_D_fake -0.001878
[652/5000][470/535][67127] Loss_D: -0.024580 Loss_G: 0.012776 Loss_D_real: -0.017107 Loss_D_fake 0.007474
[652/5000][475/535][67128] Loss_D: -0.022785 Loss_G: 0.030448 Loss_D_real: -0.023780 Loss_D_fake -0.000995
[652/5000][480/535][67129] Loss_D: -0.024043 Loss_G: 0.013156 Loss_D_real: -0.013297 Loss_D_fake 0.010747
[652/5000][485/535][67130] Loss_D: -0.023777 Loss_G: 0.005273 Loss_D_real: -0.017342 Loss_D_fake 0.006435
[652/5000][490/535][67131] Loss_D: -0.024158 Loss_G: 0.010532 Loss_D_real: -0.016977 Loss_D_fake 0.007181
[652/5000][495/535][67132] Loss_D: -0.024543 Loss_G: 0.008678 Loss_D_real: -0.013722 Loss_D_fake 0.010821
[652/5000][500/535][67133] Loss_D: -0.023475 Loss_G: 0.019938 Loss_D_real: -0.011939 Loss_D_fake 0.011536
[652/5000][505/535][67134] Loss_D: -0.024542 Loss_G: 0.018518 Loss_D_real: -0.008754 Loss_D_fake 0.015788
[652/5000][510/535][67135] Loss_D: -0.022353 Loss_G: -0.004032 Loss_D_real: -0.015512 Loss_D_fake 0.006841
[652/5000][515/535][67136] Loss_D: -0.023935 Loss_G: 0.020442 Loss_D_real: -0.020415 Loss_D_fake 0.003520
[652/5000][520/535][67137] Loss_D: -0.025293 Loss_G: 0.007014 Loss_D_real: -0.002598 Loss_D_fake 0.022695
[652/5000][525/535][67138] Loss_D: -0.022054 Loss_G: 0.035712 Loss_D_real: -0.029365 Loss_D_fake -0.007311
[652/5000][530/535][67139] Loss_D: -0.023643 Loss_G: -0.000799 Loss_D_real: -0.006858 Loss_D_fake 0.016785
[652/5000][535/535][67140] Loss_D: -0.024960 Loss_G: -0.015116 Loss_D_real: -0.008883 Loss_D_fake 0.016077
[653/5000][5/535][67141] Loss_D: -0.023317 Loss_G: 0.016372 Loss_D_real: -0.014735 Loss_D_fake 0.008581
[653/5000][10/535][67142] Loss_D: -0.023944 Loss_G: 0.030399 Loss_D_real: -0.021382 Loss_D_fake 0.002562
[653/5000][15/535][67143] Loss_D: -0.022473 Loss_G: -0.008326 Loss_D_real: 0.008506 Loss_D_fake 0.030979
[653/5000][20/535][67144] Loss_D: -0.024671 Loss_G: 0.006806 Loss_D_real: -0.012492 Loss_D_fake 0.012179
[653/5000][25/535][67145] Loss_D: -0.025476 Loss_G: 0.025959 Loss_D_real: -0.020515 Loss_D_fake 0.004961
[653/5000][30/535][67146] Loss_D: -0.024858 Loss_G: 0.015503 Loss_D_real: -0.012838 Loss_D_fake 0.012019
[653/5000][35/535][67147] Loss_D: -0.025744 Loss_G: 0.026703 Loss_D_real: -0.022661 Loss_D_fake 0.003082
[653/5000][40/535][67148] Loss_D: -0.025172 Loss_G: 0.005573 Loss_D_real: -0.007841 Loss_D_fake 0.017331
[653/5000][45/535][67149] Loss_D: -0.024857 Loss_G: 0.021579 Loss_D_real: -0.022030 Loss_D_fake 0.002826
[653/5000][50/535][67150] Loss_D: -0.025993 Loss_G: 0.014878 Loss_D_real: -0.018925 Loss_D_fake 0.007068
[653/5000][55/535][67151] Loss_D: -0.024357 Loss_G: 0.002677 Loss_D_real: -0.016800 Loss_D_fake 0.007557
[653/5000][60/535][67152] Loss_D: -0.024858 Loss_G: 0.013282 Loss_D_real: -0.017026 Loss_D_fake 0.007833
[653/5000][65/535][67153] Loss_D: -0.024089 Loss_G: 0.026593 Loss_D_real: -0.023781 Loss_D_fake 0.000308
[653/5000][70/535][67154] Loss_D: -0.024438 Loss_G: -0.007347 Loss_D_real: 0.001186 Loss_D_fake 0.025624
[653/5000][75/535][67155] Loss_D: -0.023748 Loss_G: 0.029445 Loss_D_real: -0.028664 Loss_D_fake -0.004916
[653/5000][80/535][67156] Loss_D: -0.024956 Loss_G: 0.008056 Loss_D_real: -0.006494 Loss_D_fake 0.018461
[653/5000][85/535][67157] Loss_D: -0.024542 Loss_G: 0.020281 Loss_D_real: -0.026086 Loss_D_fake -0.001544
[653/5000][90/535][67158] Loss_D: -0.023715 Loss_G: 0.008385 Loss_D_real: -0.010963 Loss_D_fake 0.012753
[653/5000][95/535][67159] Loss_D: -0.024640 Loss_G: 0.000727 Loss_D_real: -0.005680 Loss_D_fake 0.018960
[653/5000][100/535][67160] Loss_D: -0.022910 Loss_G: 0.032607 Loss_D_real: -0.021716 Loss_D_fake 0.001194
[653/5000][105/535][67161] Loss_D: -0.023262 Loss_G: -0.008540 Loss_D_real: 0.006625 Loss_D_fake 0.029888
[653/5000][110/535][67162] Loss_D: -0.022458 Loss_G: 0.006652 Loss_D_real: 0.003763 Loss_D_fake 0.026222
[653/5000][115/535][67163] Loss_D: -0.023530 Loss_G: 0.021560 Loss_D_real: -0.007917 Loss_D_fake 0.015614
[653/5000][120/535][67164] Loss_D: -0.025066 Loss_G: 0.018223 Loss_D_real: -0.019273 Loss_D_fake 0.005793
[653/5000][125/535][67165] Loss_D: -0.024339 Loss_G: 0.021884 Loss_D_real: -0.013909 Loss_D_fake 0.010430
[653/5000][130/535][67166] Loss_D: -0.025690 Loss_G: 0.029550 Loss_D_real: -0.023917 Loss_D_fake 0.001773
[653/5000][135/535][67167] Loss_D: -0.024795 Loss_G: 0.012926 Loss_D_real: -0.017489 Loss_D_fake 0.007305
[653/5000][140/535][67168] Loss_D: -0.024502 Loss_G: 0.028796 Loss_D_real: -0.021283 Loss_D_fake 0.003219
[653/5000][145/535][67169] Loss_D: -0.025202 Loss_G: 0.000573 Loss_D_real: -0.007831 Loss_D_fake 0.017370
[653/5000][150/535][67170] Loss_D: -0.023538 Loss_G: 0.029423 Loss_D_real: -0.027045 Loss_D_fake -0.003507
[653/5000][155/535][67171] Loss_D: -0.022151 Loss_G: 0.032091 Loss_D_real: -0.035908 Loss_D_fake -0.013757
[653/5000][160/535][67172] Loss_D: -0.024699 Loss_G: 0.019134 Loss_D_real: -0.019870 Loss_D_fake 0.004829
[653/5000][165/535][67173] Loss_D: -0.024110 Loss_G: 0.008073 Loss_D_real: -0.002235 Loss_D_fake 0.021876
[653/5000][170/535][67174] Loss_D: -0.025166 Loss_G: 0.010867 Loss_D_real: -0.011240 Loss_D_fake 0.013925
[653/5000][175/535][67175] Loss_D: -0.024979 Loss_G: 0.016557 Loss_D_real: -0.008940 Loss_D_fake 0.016039
[653/5000][180/535][67176] Loss_D: -0.024678 Loss_G: 0.004876 Loss_D_real: -0.012721 Loss_D_fake 0.011957
[653/5000][185/535][67177] Loss_D: -0.024941 Loss_G: 0.012961 Loss_D_real: -0.015351 Loss_D_fake 0.009590
[653/5000][190/535][67178] Loss_D: -0.023830 Loss_G: 0.014609 Loss_D_real: -0.015743 Loss_D_fake 0.008087
[653/5000][195/535][67179] Loss_D: -0.023054 Loss_G: 0.008045 Loss_D_real: -0.008860 Loss_D_fake 0.014195
[653/5000][200/535][67180] Loss_D: -0.023892 Loss_G: 0.003552 Loss_D_real: -0.002961 Loss_D_fake 0.020931
[653/5000][205/535][67181] Loss_D: -0.024101 Loss_G: 0.013931 Loss_D_real: -0.000596 Loss_D_fake 0.023505
[653/5000][210/535][67182] Loss_D: -0.025058 Loss_G: 0.020019 Loss_D_real: -0.009505 Loss_D_fake 0.015554
[653/5000][215/535][67183] Loss_D: -0.022041 Loss_G: 0.009899 Loss_D_real: -0.007586 Loss_D_fake 0.014456
[653/5000][220/535][67184] Loss_D: -0.024711 Loss_G: 0.007748 Loss_D_real: -0.017932 Loss_D_fake 0.006779
[653/5000][225/535][67185] Loss_D: -0.024548 Loss_G: 0.013636 Loss_D_real: -0.024378 Loss_D_fake 0.000169
[653/5000][230/535][67186] Loss_D: -0.025677 Loss_G: 0.004154 Loss_D_real: -0.004733 Loss_D_fake 0.020944
[653/5000][235/535][67187] Loss_D: -0.023866 Loss_G: 0.021601 Loss_D_real: -0.014942 Loss_D_fake 0.008925
[653/5000][240/535][67188] Loss_D: -0.023123 Loss_G: 0.011945 Loss_D_real: -0.017114 Loss_D_fake 0.006009
[653/5000][245/535][67189] Loss_D: -0.023356 Loss_G: -0.014369 Loss_D_real: 0.005624 Loss_D_fake 0.028979
[653/5000][250/535][67190] Loss_D: -0.024674 Loss_G: 0.018114 Loss_D_real: -0.009787 Loss_D_fake 0.014887
[653/5000][255/535][67191] Loss_D: -0.024691 Loss_G: 0.009132 Loss_D_real: -0.024442 Loss_D_fake 0.000249
[653/5000][260/535][67192] Loss_D: -0.024414 Loss_G: 0.015173 Loss_D_real: -0.016457 Loss_D_fake 0.007957
[653/5000][265/535][67193] Loss_D: -0.023813 Loss_G: 0.036958 Loss_D_real: -0.026562 Loss_D_fake -0.002749
[653/5000][270/535][67194] Loss_D: -0.023186 Loss_G: 0.004214 Loss_D_real: -0.000953 Loss_D_fake 0.022233
[653/5000][275/535][67195] Loss_D: -0.022376 Loss_G: 0.000280 Loss_D_real: -0.013595 Loss_D_fake 0.008781
[653/5000][280/535][67196] Loss_D: -0.024032 Loss_G: 0.022423 Loss_D_real: -0.018508 Loss_D_fake 0.005524
[653/5000][285/535][67197] Loss_D: -0.025274 Loss_G: -0.004650 Loss_D_real: -0.011312 Loss_D_fake 0.013962
[653/5000][290/535][67198] Loss_D: -0.023941 Loss_G: 0.029483 Loss_D_real: -0.024862 Loss_D_fake -0.000920
[653/5000][295/535][67199] Loss_D: -0.025428 Loss_G: 0.018803 Loss_D_real: -0.014939 Loss_D_fake 0.010490
[653/5000][300/535][67200] Loss_D: -0.025268 Loss_G: -0.004815 Loss_D_real: -0.005927 Loss_D_fake 0.019341
[653/5000][305/535][67201] Loss_D: -0.024553 Loss_G: 0.022085 Loss_D_real: -0.019765 Loss_D_fake 0.004788
[653/5000][310/535][67202] Loss_D: -0.024107 Loss_G: -0.005039 Loss_D_real: -0.006646 Loss_D_fake 0.017462
[653/5000][315/535][67203] Loss_D: -0.024522 Loss_G: 0.021282 Loss_D_real: -0.020780 Loss_D_fake 0.003742
[653/5000][320/535][67204] Loss_D: -0.024299 Loss_G: 0.025550 Loss_D_real: -0.027087 Loss_D_fake -0.002788
[653/5000][325/535][67205] Loss_D: -0.023523 Loss_G: -0.017868 Loss_D_real: 0.000999 Loss_D_fake 0.024522
[653/5000][330/535][67206] Loss_D: -0.023695 Loss_G: 0.020452 Loss_D_real: -0.018310 Loss_D_fake 0.005385
[653/5000][335/535][67207] Loss_D: -0.024476 Loss_G: 0.021029 Loss_D_real: -0.010728 Loss_D_fake 0.013748
[653/5000][340/535][67208] Loss_D: -0.026374 Loss_G: 0.007763 Loss_D_real: -0.008733 Loss_D_fake 0.017641
[653/5000][345/535][67209] Loss_D: -0.024881 Loss_G: 0.004896 Loss_D_real: -0.004961 Loss_D_fake 0.019920
[653/5000][350/535][67210] Loss_D: -0.026148 Loss_G: 0.026194 Loss_D_real: -0.010341 Loss_D_fake 0.015807
[653/5000][355/535][67211] Loss_D: -0.023954 Loss_G: 0.016600 Loss_D_real: -0.027376 Loss_D_fake -0.003422
[653/5000][360/535][67212] Loss_D: -0.025437 Loss_G: 0.015762 Loss_D_real: -0.015096 Loss_D_fake 0.010340
[653/5000][365/535][67213] Loss_D: -0.025722 Loss_G: -0.000834 Loss_D_real: 0.000729 Loss_D_fake 0.026452
[653/5000][370/535][67214] Loss_D: -0.025224 Loss_G: 0.016274 Loss_D_real: -0.021844 Loss_D_fake 0.003380
[653/5000][375/535][67215] Loss_D: -0.024671 Loss_G: 0.013479 Loss_D_real: -0.005086 Loss_D_fake 0.019585
[653/5000][380/535][67216] Loss_D: -0.023375 Loss_G: 0.035491 Loss_D_real: -0.024033 Loss_D_fake -0.000658
[653/5000][385/535][67217] Loss_D: -0.024088 Loss_G: 0.016876 Loss_D_real: -0.015698 Loss_D_fake 0.008390
[653/5000][390/535][67218] Loss_D: -0.025942 Loss_G: 0.025690 Loss_D_real: -0.031652 Loss_D_fake -0.005710
[653/5000][395/535][67219] Loss_D: -0.023968 Loss_G: 0.009736 Loss_D_real: -0.008053 Loss_D_fake 0.015915
[653/5000][400/535][67220] Loss_D: -0.024202 Loss_G: 0.007753 Loss_D_real: -0.005572 Loss_D_fake 0.018630
[653/5000][405/535][67221] Loss_D: -0.024465 Loss_G: 0.004914 Loss_D_real: -0.009424 Loss_D_fake 0.015041
[653/5000][410/535][67222] Loss_D: -0.024498 Loss_G: 0.024177 Loss_D_real: -0.020394 Loss_D_fake 0.004104
[653/5000][415/535][67223] Loss_D: -0.024108 Loss_G: 0.014951 Loss_D_real: -0.030939 Loss_D_fake -0.006831
[653/5000][420/535][67224] Loss_D: -0.024358 Loss_G: 0.013779 Loss_D_real: -0.009842 Loss_D_fake 0.014516
[653/5000][425/535][67225] Loss_D: -0.024339 Loss_G: 0.025317 Loss_D_real: -0.020458 Loss_D_fake 0.003880
[653/5000][430/535][67226] Loss_D: -0.025788 Loss_G: 0.013498 Loss_D_real: -0.021792 Loss_D_fake 0.003996
[653/5000][435/535][67227] Loss_D: -0.024909 Loss_G: 0.008745 Loss_D_real: -0.017945 Loss_D_fake 0.006964
[653/5000][440/535][67228] Loss_D: -0.024110 Loss_G: -0.008552 Loss_D_real: -0.010556 Loss_D_fake 0.013554
[653/5000][445/535][67229] Loss_D: -0.024364 Loss_G: 0.037771 Loss_D_real: -0.023723 Loss_D_fake 0.000642
[653/5000][450/535][67230] Loss_D: -0.024497 Loss_G: 0.004485 Loss_D_real: -0.002513 Loss_D_fake 0.021983
[653/5000][455/535][67231] Loss_D: -0.023565 Loss_G: 0.020764 Loss_D_real: -0.019749 Loss_D_fake 0.003816
[653/5000][460/535][67232] Loss_D: -0.023632 Loss_G: -0.005559 Loss_D_real: -0.003469 Loss_D_fake 0.020163
[653/5000][465/535][67233] Loss_D: -0.023288 Loss_G: 0.004803 Loss_D_real: -0.029085 Loss_D_fake -0.005797
[653/5000][470/535][67234] Loss_D: -0.024932 Loss_G: 0.013445 Loss_D_real: -0.013511 Loss_D_fake 0.011422
[653/5000][475/535][67235] Loss_D: -0.024080 Loss_G: 0.027191 Loss_D_real: -0.027480 Loss_D_fake -0.003400
[653/5000][480/535][67236] Loss_D: -0.023284 Loss_G: -0.013042 Loss_D_real: 0.001074 Loss_D_fake 0.024358
[653/5000][485/535][67237] Loss_D: -0.023243 Loss_G: 0.023139 Loss_D_real: -0.025447 Loss_D_fake -0.002204
[653/5000][490/535][67238] Loss_D: -0.025571 Loss_G: 0.016304 Loss_D_real: -0.015703 Loss_D_fake 0.009868
[653/5000][495/535][67239] Loss_D: -0.024260 Loss_G: 0.015371 Loss_D_real: -0.014628 Loss_D_fake 0.009632
[653/5000][500/535][67240] Loss_D: -0.023726 Loss_G: -0.007539 Loss_D_real: -0.003365 Loss_D_fake 0.020362
[653/5000][505/535][67241] Loss_D: -0.023892 Loss_G: 0.022193 Loss_D_real: -0.022754 Loss_D_fake 0.001137
[653/5000][510/535][67242] Loss_D: -0.023656 Loss_G: 0.029763 Loss_D_real: -0.024694 Loss_D_fake -0.001038
[653/5000][515/535][67243] Loss_D: -0.023345 Loss_G: 0.017477 Loss_D_real: -0.013754 Loss_D_fake 0.009591
[653/5000][520/535][67244] Loss_D: -0.023445 Loss_G: 0.012969 Loss_D_real: -0.012194 Loss_D_fake 0.011251
[653/5000][525/535][67245] Loss_D: -0.023575 Loss_G: 0.018608 Loss_D_real: -0.015389 Loss_D_fake 0.008186
[653/5000][530/535][67246] Loss_D: -0.024030 Loss_G: 0.012716 Loss_D_real: -0.018835 Loss_D_fake 0.005195
[653/5000][535/535][67247] Loss_D: -0.024880 Loss_G: 0.021802 Loss_D_real: -0.010841 Loss_D_fake 0.014039
[654/5000][5/535][67248] Loss_D: -0.024240 Loss_G: 0.012281 Loss_D_real: -0.012544 Loss_D_fake 0.011696
[654/5000][10/535][67249] Loss_D: -0.024260 Loss_G: 0.013624 Loss_D_real: -0.010160 Loss_D_fake 0.014101
[654/5000][15/535][67250] Loss_D: -0.025496 Loss_G: 0.001061 Loss_D_real: -0.006631 Loss_D_fake 0.018865
[654/5000][20/535][67251] Loss_D: -0.024532 Loss_G: 0.017048 Loss_D_real: -0.016867 Loss_D_fake 0.007665
[654/5000][25/535][67252] Loss_D: -0.024251 Loss_G: -0.011684 Loss_D_real: 0.001761 Loss_D_fake 0.026011
[654/5000][30/535][67253] Loss_D: -0.024275 Loss_G: 0.026641 Loss_D_real: -0.017601 Loss_D_fake 0.006673
[654/5000][35/535][67254] Loss_D: -0.025343 Loss_G: 0.019851 Loss_D_real: -0.019599 Loss_D_fake 0.005744
[654/5000][40/535][67255] Loss_D: -0.024214 Loss_G: 0.017456 Loss_D_real: -0.021317 Loss_D_fake 0.002897
[654/5000][45/535][67256] Loss_D: -0.024604 Loss_G: 0.020877 Loss_D_real: -0.008591 Loss_D_fake 0.016013
[654/5000][50/535][67257] Loss_D: -0.024239 Loss_G: 0.024061 Loss_D_real: -0.017360 Loss_D_fake 0.006879
[654/5000][55/535][67258] Loss_D: -0.024722 Loss_G: 0.011745 Loss_D_real: -0.013694 Loss_D_fake 0.011028
[654/5000][60/535][67259] Loss_D: -0.023017 Loss_G: 0.014741 Loss_D_real: -0.028739 Loss_D_fake -0.005722
[654/5000][65/535][67260] Loss_D: -0.022889 Loss_G: -0.016835 Loss_D_real: 0.001838 Loss_D_fake 0.024727
[654/5000][70/535][67261] Loss_D: -0.022619 Loss_G: 0.016034 Loss_D_real: -0.014009 Loss_D_fake 0.008610
[654/5000][75/535][67262] Loss_D: -0.023346 Loss_G: 0.037197 Loss_D_real: -0.027049 Loss_D_fake -0.003703
[654/5000][80/535][67263] Loss_D: -0.025228 Loss_G: 0.006409 Loss_D_real: -0.008630 Loss_D_fake 0.016597
[654/5000][85/535][67264] Loss_D: -0.022740 Loss_G: 0.016570 Loss_D_real: -0.020837 Loss_D_fake 0.001903
[654/5000][90/535][67265] Loss_D: -0.025031 Loss_G: 0.021912 Loss_D_real: -0.011257 Loss_D_fake 0.013774
[654/5000][95/535][67266] Loss_D: -0.024548 Loss_G: -0.002464 Loss_D_real: -0.002170 Loss_D_fake 0.022378
[654/5000][100/535][67267] Loss_D: -0.023689 Loss_G: 0.039697 Loss_D_real: -0.032816 Loss_D_fake -0.009127
[654/5000][105/535][67268] Loss_D: -0.025284 Loss_G: 0.002022 Loss_D_real: -0.009069 Loss_D_fake 0.016215
[654/5000][110/535][67269] Loss_D: -0.024250 Loss_G: 0.009794 Loss_D_real: -0.012046 Loss_D_fake 0.012204
[654/5000][115/535][67270] Loss_D: -0.024479 Loss_G: 0.019922 Loss_D_real: -0.015162 Loss_D_fake 0.009317
[654/5000][120/535][67271] Loss_D: -0.025870 Loss_G: 0.021982 Loss_D_real: -0.016609 Loss_D_fake 0.009261
[654/5000][125/535][67272] Loss_D: -0.023627 Loss_G: -0.011440 Loss_D_real: 0.003084 Loss_D_fake 0.026711
[654/5000][130/535][67273] Loss_D: -0.023553 Loss_G: 0.010277 Loss_D_real: -0.008193 Loss_D_fake 0.015360
[654/5000][135/535][67274] Loss_D: -0.023922 Loss_G: 0.024033 Loss_D_real: -0.028785 Loss_D_fake -0.004863
[654/5000][140/535][67275] Loss_D: -0.024346 Loss_G: -0.007546 Loss_D_real: -0.002124 Loss_D_fake 0.022223
[654/5000][145/535][67276] Loss_D: -0.024618 Loss_G: 0.020988 Loss_D_real: -0.020727 Loss_D_fake 0.003891
[654/5000][150/535][67277] Loss_D: -0.024829 Loss_G: 0.002368 Loss_D_real: -0.006457 Loss_D_fake 0.018371
[654/5000][155/535][67278] Loss_D: -0.025061 Loss_G: 0.027901 Loss_D_real: -0.016929 Loss_D_fake 0.008133
[654/5000][160/535][67279] Loss_D: -0.023298 Loss_G: 0.013131 Loss_D_real: -0.020121 Loss_D_fake 0.003178
[654/5000][165/535][67280] Loss_D: -0.025046 Loss_G: -0.003523 Loss_D_real: -0.005127 Loss_D_fake 0.019919
[654/5000][170/535][67281] Loss_D: -0.025090 Loss_G: 0.008455 Loss_D_real: -0.010434 Loss_D_fake 0.014656
[654/5000][175/535][67282] Loss_D: -0.024973 Loss_G: 0.027888 Loss_D_real: -0.026012 Loss_D_fake -0.001040
[654/5000][180/535][67283] Loss_D: -0.025900 Loss_G: 0.015133 Loss_D_real: -0.022189 Loss_D_fake 0.003711
[654/5000][185/535][67284] Loss_D: -0.025143 Loss_G: 0.006134 Loss_D_real: -0.010992 Loss_D_fake 0.014151
[654/5000][190/535][67285] Loss_D: -0.024409 Loss_G: 0.024082 Loss_D_real: -0.014687 Loss_D_fake 0.009722
[654/5000][195/535][67286] Loss_D: -0.024680 Loss_G: 0.030250 Loss_D_real: -0.032162 Loss_D_fake -0.007482
[654/5000][200/535][67287] Loss_D: -0.025134 Loss_G: 0.022570 Loss_D_real: -0.018724 Loss_D_fake 0.006410
[654/5000][205/535][67288] Loss_D: -0.023549 Loss_G: 0.019830 Loss_D_real: -0.012572 Loss_D_fake 0.010977
[654/5000][210/535][67289] Loss_D: -0.022867 Loss_G: -0.012191 Loss_D_real: 0.001212 Loss_D_fake 0.024079
[654/5000][215/535][67290] Loss_D: -0.023081 Loss_G: -0.002143 Loss_D_real: -0.003706 Loss_D_fake 0.019375
[654/5000][220/535][67291] Loss_D: -0.022942 Loss_G: 0.022867 Loss_D_real: -0.020175 Loss_D_fake 0.002767
[654/5000][225/535][67292] Loss_D: -0.024647 Loss_G: 0.008076 Loss_D_real: -0.003255 Loss_D_fake 0.021391
[654/5000][230/535][67293] Loss_D: -0.023423 Loss_G: 0.029025 Loss_D_real: -0.032466 Loss_D_fake -0.009043
[654/5000][235/535][67294] Loss_D: -0.022664 Loss_G: 0.010103 Loss_D_real: -0.018531 Loss_D_fake 0.004133
[654/5000][240/535][67295] Loss_D: -0.023714 Loss_G: 0.021361 Loss_D_real: -0.026471 Loss_D_fake -0.002758
[654/5000][245/535][67296] Loss_D: -0.024239 Loss_G: 0.003507 Loss_D_real: -0.001539 Loss_D_fake 0.022700
[654/5000][250/535][67297] Loss_D: -0.025709 Loss_G: 0.012924 Loss_D_real: -0.009522 Loss_D_fake 0.016188
[654/5000][255/535][67298] Loss_D: -0.024882 Loss_G: 0.009383 Loss_D_real: -0.007438 Loss_D_fake 0.017444
[654/5000][260/535][67299] Loss_D: -0.024420 Loss_G: 0.019817 Loss_D_real: -0.016298 Loss_D_fake 0.008123
[654/5000][265/535][67300] Loss_D: -0.025225 Loss_G: 0.022184 Loss_D_real: -0.015399 Loss_D_fake 0.009826
[654/5000][270/535][67301] Loss_D: -0.026282 Loss_G: 0.007311 Loss_D_real: -0.007711 Loss_D_fake 0.018570
[654/5000][275/535][67302] Loss_D: -0.024871 Loss_G: 0.024401 Loss_D_real: -0.021091 Loss_D_fake 0.003780
[654/5000][280/535][67303] Loss_D: -0.022359 Loss_G: -0.023375 Loss_D_real: 0.000889 Loss_D_fake 0.023248
[654/5000][285/535][67304] Loss_D: -0.024562 Loss_G: 0.032033 Loss_D_real: -0.009611 Loss_D_fake 0.014951
[654/5000][290/535][67305] Loss_D: -0.022243 Loss_G: -0.005751 Loss_D_real: 0.001707 Loss_D_fake 0.023950
[654/5000][295/535][67306] Loss_D: -0.023324 Loss_G: -0.008656 Loss_D_real: -0.002977 Loss_D_fake 0.020347
[654/5000][300/535][67307] Loss_D: -0.024114 Loss_G: 0.014470 Loss_D_real: -0.022454 Loss_D_fake 0.001660
[654/5000][305/535][67308] Loss_D: -0.023899 Loss_G: -0.008137 Loss_D_real: 0.001734 Loss_D_fake 0.025633
[654/5000][310/535][67309] Loss_D: -0.023071 Loss_G: 0.017309 Loss_D_real: -0.018967 Loss_D_fake 0.004104
[654/5000][315/535][67310] Loss_D: -0.024981 Loss_G: 0.018078 Loss_D_real: -0.018664 Loss_D_fake 0.006317
[654/5000][320/535][67311] Loss_D: -0.024278 Loss_G: 0.008567 Loss_D_real: -0.005907 Loss_D_fake 0.018371
[654/5000][325/535][67312] Loss_D: -0.024452 Loss_G: 0.001864 Loss_D_real: -0.005709 Loss_D_fake 0.018743
[654/5000][330/535][67313] Loss_D: -0.023829 Loss_G: 0.013104 Loss_D_real: -0.015762 Loss_D_fake 0.008066
[654/5000][335/535][67314] Loss_D: -0.024565 Loss_G: 0.022142 Loss_D_real: -0.017531 Loss_D_fake 0.007034
[654/5000][340/535][67315] Loss_D: -0.023410 Loss_G: -0.008812 Loss_D_real: 0.002629 Loss_D_fake 0.026039
[654/5000][345/535][67316] Loss_D: -0.024809 Loss_G: 0.004167 Loss_D_real: -0.015657 Loss_D_fake 0.009152
[654/5000][350/535][67317] Loss_D: -0.023804 Loss_G: 0.032441 Loss_D_real: -0.021037 Loss_D_fake 0.002766
[654/5000][355/535][67318] Loss_D: -0.024898 Loss_G: 0.018756 Loss_D_real: -0.009787 Loss_D_fake 0.015111
[654/5000][360/535][67319] Loss_D: -0.023689 Loss_G: 0.018777 Loss_D_real: -0.021288 Loss_D_fake 0.002401
[654/5000][365/535][67320] Loss_D: -0.025149 Loss_G: 0.012095 Loss_D_real: -0.004131 Loss_D_fake 0.021018
[654/5000][370/535][67321] Loss_D: -0.023623 Loss_G: 0.002336 Loss_D_real: -0.013849 Loss_D_fake 0.009773
[654/5000][375/535][67322] Loss_D: -0.024559 Loss_G: 0.016165 Loss_D_real: -0.024962 Loss_D_fake -0.000403
[654/5000][380/535][67323] Loss_D: -0.025200 Loss_G: 0.021711 Loss_D_real: -0.011506 Loss_D_fake 0.013694
[654/5000][385/535][67324] Loss_D: -0.023572 Loss_G: 0.017340 Loss_D_real: -0.016883 Loss_D_fake 0.006689
[654/5000][390/535][67325] Loss_D: -0.022923 Loss_G: 0.031447 Loss_D_real: -0.031386 Loss_D_fake -0.008463
[654/5000][395/535][67326] Loss_D: -0.024567 Loss_G: 0.024998 Loss_D_real: -0.020964 Loss_D_fake 0.003603
[654/5000][400/535][67327] Loss_D: -0.022684 Loss_G: -0.000650 Loss_D_real: -0.000417 Loss_D_fake 0.022267
[654/5000][405/535][67328] Loss_D: -0.024428 Loss_G: 0.017735 Loss_D_real: -0.023409 Loss_D_fake 0.001019
[654/5000][410/535][67329] Loss_D: -0.026076 Loss_G: 0.022025 Loss_D_real: -0.017021 Loss_D_fake 0.009055
[654/5000][415/535][67330] Loss_D: -0.025425 Loss_G: 0.012155 Loss_D_real: 0.000902 Loss_D_fake 0.026327
[654/5000][420/535][67331] Loss_D: -0.024471 Loss_G: 0.022347 Loss_D_real: -0.018037 Loss_D_fake 0.006434
[654/5000][425/535][67332] Loss_D: -0.025589 Loss_G: 0.009936 Loss_D_real: -0.017077 Loss_D_fake 0.008512
[654/5000][430/535][67333] Loss_D: -0.023727 Loss_G: 0.026897 Loss_D_real: -0.026663 Loss_D_fake -0.002936
[654/5000][435/535][67334] Loss_D: -0.023301 Loss_G: 0.007623 Loss_D_real: -0.005697 Loss_D_fake 0.017604
[654/5000][440/535][67335] Loss_D: -0.025252 Loss_G: 0.023570 Loss_D_real: -0.014658 Loss_D_fake 0.010594
[654/5000][445/535][67336] Loss_D: -0.023628 Loss_G: -0.006496 Loss_D_real: -0.009686 Loss_D_fake 0.013942
[654/5000][450/535][67337] Loss_D: -0.023155 Loss_G: 0.034179 Loss_D_real: -0.028649 Loss_D_fake -0.005493
[654/5000][455/535][67338] Loss_D: -0.022836 Loss_G: 0.012447 Loss_D_real: -0.009261 Loss_D_fake 0.013576
[654/5000][460/535][67339] Loss_D: -0.024249 Loss_G: 0.022877 Loss_D_real: -0.021550 Loss_D_fake 0.002699
[654/5000][465/535][67340] Loss_D: -0.024421 Loss_G: 0.027090 Loss_D_real: -0.021719 Loss_D_fake 0.002702
[654/5000][470/535][67341] Loss_D: -0.023708 Loss_G: -0.020127 Loss_D_real: 0.004438 Loss_D_fake 0.028145
[654/5000][475/535][67342] Loss_D: -0.024669 Loss_G: 0.011497 Loss_D_real: -0.011973 Loss_D_fake 0.012695
[654/5000][480/535][67343] Loss_D: -0.025826 Loss_G: 0.031232 Loss_D_real: -0.024461 Loss_D_fake 0.001365
[654/5000][485/535][67344] Loss_D: -0.024971 Loss_G: 0.012860 Loss_D_real: -0.015092 Loss_D_fake 0.009879
[654/5000][490/535][67345] Loss_D: -0.025287 Loss_G: -0.000025 Loss_D_real: -0.007582 Loss_D_fake 0.017705
[654/5000][495/535][67346] Loss_D: -0.025062 Loss_G: 0.008396 Loss_D_real: -0.005384 Loss_D_fake 0.019678
[654/5000][500/535][67347] Loss_D: -0.024723 Loss_G: 0.010350 Loss_D_real: -0.014706 Loss_D_fake 0.010016
[654/5000][505/535][67348] Loss_D: -0.023609 Loss_G: 0.033061 Loss_D_real: -0.025878 Loss_D_fake -0.002269
[654/5000][510/535][67349] Loss_D: -0.024318 Loss_G: 0.016843 Loss_D_real: -0.013750 Loss_D_fake 0.010568
[654/5000][515/535][67350] Loss_D: -0.024146 Loss_G: 0.030094 Loss_D_real: -0.024204 Loss_D_fake -0.000058
[654/5000][520/535][67351] Loss_D: -0.023304 Loss_G: 0.003414 Loss_D_real: -0.002264 Loss_D_fake 0.021040
[654/5000][525/535][67352] Loss_D: -0.024536 Loss_G: 0.033357 Loss_D_real: -0.024301 Loss_D_fake 0.000235
[654/5000][530/535][67353] Loss_D: -0.024714 Loss_G: 0.016416 Loss_D_real: -0.033383 Loss_D_fake -0.008669
[654/5000][535/535][67354] Loss_D: -0.024815 Loss_G: 0.001499 Loss_D_real: -0.010664 Loss_D_fake 0.014151
[655/5000][5/535][67355] Loss_D: -0.022886 Loss_G: 0.023449 Loss_D_real: -0.019801 Loss_D_fake 0.003086
[655/5000][10/535][67356] Loss_D: -0.023750 Loss_G: 0.033044 Loss_D_real: -0.027390 Loss_D_fake -0.003639
[655/5000][15/535][67357] Loss_D: -0.024238 Loss_G: 0.006861 Loss_D_real: -0.006617 Loss_D_fake 0.017621
[655/5000][20/535][67358] Loss_D: -0.024632 Loss_G: 0.024670 Loss_D_real: -0.027597 Loss_D_fake -0.002965
[655/5000][25/535][67359] Loss_D: -0.023540 Loss_G: -0.004510 Loss_D_real: -0.009403 Loss_D_fake 0.014137
[655/5000][30/535][67360] Loss_D: -0.023344 Loss_G: 0.014382 Loss_D_real: -0.023811 Loss_D_fake -0.000466
[655/5000][35/535][67361] Loss_D: -0.024029 Loss_G: 0.026247 Loss_D_real: -0.021933 Loss_D_fake 0.002096
[655/5000][40/535][67362] Loss_D: -0.024352 Loss_G: 0.014910 Loss_D_real: -0.020347 Loss_D_fake 0.004004
[655/5000][45/535][67363] Loss_D: -0.025096 Loss_G: 0.030730 Loss_D_real: -0.022730 Loss_D_fake 0.002366
[655/5000][50/535][67364] Loss_D: -0.024261 Loss_G: -0.008796 Loss_D_real: -0.000792 Loss_D_fake 0.023469
[655/5000][55/535][67365] Loss_D: -0.024425 Loss_G: 0.004184 Loss_D_real: -0.012148 Loss_D_fake 0.012277
[655/5000][60/535][67366] Loss_D: -0.022821 Loss_G: 0.032513 Loss_D_real: -0.031697 Loss_D_fake -0.008875
[655/5000][65/535][67367] Loss_D: -0.025269 Loss_G: 0.001469 Loss_D_real: -0.008572 Loss_D_fake 0.016698
[655/5000][70/535][67368] Loss_D: -0.023902 Loss_G: 0.013874 Loss_D_real: -0.012598 Loss_D_fake 0.011304
[655/5000][75/535][67369] Loss_D: -0.023563 Loss_G: 0.018493 Loss_D_real: -0.015927 Loss_D_fake 0.007636
[655/5000][80/535][67370] Loss_D: -0.023839 Loss_G: 0.011186 Loss_D_real: -0.015140 Loss_D_fake 0.008698
[655/5000][85/535][67371] Loss_D: -0.026416 Loss_G: 0.016413 Loss_D_real: -0.018629 Loss_D_fake 0.007787
[655/5000][90/535][67372] Loss_D: -0.025287 Loss_G: 0.015671 Loss_D_real: -0.014524 Loss_D_fake 0.010763
[655/5000][95/535][67373] Loss_D: -0.023948 Loss_G: 0.000552 Loss_D_real: -0.003986 Loss_D_fake 0.019962
[655/5000][100/535][67374] Loss_D: -0.024316 Loss_G: 0.029172 Loss_D_real: -0.020489 Loss_D_fake 0.003826
[655/5000][105/535][67375] Loss_D: -0.024279 Loss_G: 0.000352 Loss_D_real: -0.004020 Loss_D_fake 0.020259
[655/5000][110/535][67376] Loss_D: -0.024506 Loss_G: 0.023913 Loss_D_real: -0.023559 Loss_D_fake 0.000947
[655/5000][115/535][67377] Loss_D: -0.024698 Loss_G: 0.027343 Loss_D_real: -0.029734 Loss_D_fake -0.005036
[655/5000][120/535][67378] Loss_D: -0.024671 Loss_G: 0.015596 Loss_D_real: -0.014505 Loss_D_fake 0.010166
[655/5000][125/535][67379] Loss_D: -0.021596 Loss_G: 0.033111 Loss_D_real: -0.037167 Loss_D_fake -0.015572
[655/5000][130/535][67380] Loss_D: -0.024248 Loss_G: 0.021616 Loss_D_real: -0.025072 Loss_D_fake -0.000824
[655/5000][135/535][67381] Loss_D: -0.024559 Loss_G: 0.008943 Loss_D_real: -0.004268 Loss_D_fake 0.020291
[655/5000][140/535][67382] Loss_D: -0.023867 Loss_G: 0.004246 Loss_D_real: -0.004268 Loss_D_fake 0.019599
[655/5000][145/535][67383] Loss_D: -0.024772 Loss_G: 0.029675 Loss_D_real: -0.027681 Loss_D_fake -0.002909
[655/5000][150/535][67384] Loss_D: -0.024485 Loss_G: 0.007562 Loss_D_real: -0.011596 Loss_D_fake 0.012889
[655/5000][155/535][67385] Loss_D: -0.024760 Loss_G: 0.016014 Loss_D_real: -0.020383 Loss_D_fake 0.004377
[655/5000][160/535][67386] Loss_D: -0.024588 Loss_G: 0.008730 Loss_D_real: -0.007487 Loss_D_fake 0.017101
[655/5000][165/535][67387] Loss_D: -0.022420 Loss_G: 0.023821 Loss_D_real: -0.023070 Loss_D_fake -0.000650
[655/5000][170/535][67388] Loss_D: -0.023109 Loss_G: 0.022248 Loss_D_real: -0.021190 Loss_D_fake 0.001919
[655/5000][175/535][67389] Loss_D: -0.024429 Loss_G: 0.006088 Loss_D_real: -0.001120 Loss_D_fake 0.023309
[655/5000][180/535][67390] Loss_D: -0.022930 Loss_G: 0.017203 Loss_D_real: -0.019322 Loss_D_fake 0.003608
[655/5000][185/535][67391] Loss_D: -0.024412 Loss_G: 0.008786 Loss_D_real: -0.009870 Loss_D_fake 0.014542
[655/5000][190/535][67392] Loss_D: -0.024442 Loss_G: 0.022608 Loss_D_real: -0.014840 Loss_D_fake 0.009603
[655/5000][195/535][67393] Loss_D: -0.025331 Loss_G: -0.002476 Loss_D_real: -0.016246 Loss_D_fake 0.009086
[655/5000][200/535][67394] Loss_D: -0.022870 Loss_G: 0.011439 Loss_D_real: -0.022302 Loss_D_fake 0.000569
[655/5000][205/535][67395] Loss_D: -0.023481 Loss_G: 0.035189 Loss_D_real: -0.031824 Loss_D_fake -0.008343
[655/5000][210/535][67396] Loss_D: -0.024032 Loss_G: 0.015515 Loss_D_real: -0.021684 Loss_D_fake 0.002348
[655/5000][215/535][67397] Loss_D: -0.025052 Loss_G: 0.019440 Loss_D_real: -0.025897 Loss_D_fake -0.000845
[655/5000][220/535][67398] Loss_D: -0.023188 Loss_G: 0.026379 Loss_D_real: -0.023809 Loss_D_fake -0.000621
[655/5000][225/535][67399] Loss_D: -0.023740 Loss_G: -0.009214 Loss_D_real: -0.004268 Loss_D_fake 0.019472
[655/5000][230/535][67400] Loss_D: -0.022928 Loss_G: 0.013020 Loss_D_real: -0.014371 Loss_D_fake 0.008558
[655/5000][235/535][67401] Loss_D: -0.023726 Loss_G: -0.004996 Loss_D_real: -0.003339 Loss_D_fake 0.020387
[655/5000][240/535][67402] Loss_D: -0.023505 Loss_G: 0.024282 Loss_D_real: -0.020231 Loss_D_fake 0.003274
[655/5000][245/535][67403] Loss_D: -0.023841 Loss_G: 0.025420 Loss_D_real: -0.023533 Loss_D_fake 0.000309
[655/5000][250/535][67404] Loss_D: -0.023046 Loss_G: 0.039615 Loss_D_real: -0.021149 Loss_D_fake 0.001898
[655/5000][255/535][67405] Loss_D: -0.024333 Loss_G: 0.011587 Loss_D_real: -0.019860 Loss_D_fake 0.004473
[655/5000][260/535][67406] Loss_D: -0.024068 Loss_G: 0.000765 Loss_D_real: -0.005381 Loss_D_fake 0.018687
[655/5000][265/535][67407] Loss_D: -0.023953 Loss_G: 0.015090 Loss_D_real: -0.014600 Loss_D_fake 0.009353
[655/5000][270/535][67408] Loss_D: -0.025694 Loss_G: 0.001314 Loss_D_real: -0.025197 Loss_D_fake 0.000497
[655/5000][275/535][67409] Loss_D: -0.024232 Loss_G: 0.013167 Loss_D_real: -0.019102 Loss_D_fake 0.005130
[655/5000][280/535][67410] Loss_D: -0.023483 Loss_G: 0.010139 Loss_D_real: -0.018333 Loss_D_fake 0.005150
[655/5000][285/535][67411] Loss_D: -0.023537 Loss_G: 0.007687 Loss_D_real: -0.020838 Loss_D_fake 0.002699
[655/5000][290/535][67412] Loss_D: -0.024016 Loss_G: 0.008397 Loss_D_real: -0.016891 Loss_D_fake 0.007125
[655/5000][295/535][67413] Loss_D: -0.024403 Loss_G: 0.010016 Loss_D_real: -0.016676 Loss_D_fake 0.007726
[655/5000][300/535][67414] Loss_D: -0.023377 Loss_G: 0.015600 Loss_D_real: -0.017780 Loss_D_fake 0.005597
[655/5000][305/535][67415] Loss_D: -0.023829 Loss_G: 0.017494 Loss_D_real: -0.011749 Loss_D_fake 0.012080
[655/5000][310/535][67416] Loss_D: -0.023210 Loss_G: 0.028827 Loss_D_real: -0.023255 Loss_D_fake -0.000045
[655/5000][315/535][67417] Loss_D: -0.022464 Loss_G: 0.027200 Loss_D_real: -0.020200 Loss_D_fake 0.002264
[655/5000][320/535][67418] Loss_D: -0.025382 Loss_G: 0.007310 Loss_D_real: 0.002272 Loss_D_fake 0.027654
[655/5000][325/535][67419] Loss_D: -0.023500 Loss_G: 0.031790 Loss_D_real: -0.020100 Loss_D_fake 0.003400
[655/5000][330/535][67420] Loss_D: -0.024290 Loss_G: 0.011523 Loss_D_real: -0.006617 Loss_D_fake 0.017672
[655/5000][335/535][67421] Loss_D: -0.022692 Loss_G: 0.029927 Loss_D_real: -0.030413 Loss_D_fake -0.007721
[655/5000][340/535][67422] Loss_D: -0.023864 Loss_G: 0.008559 Loss_D_real: -0.006701 Loss_D_fake 0.017163
[655/5000][345/535][67423] Loss_D: -0.024523 Loss_G: 0.008896 Loss_D_real: -0.019548 Loss_D_fake 0.004974
[655/5000][350/535][67424] Loss_D: -0.024864 Loss_G: 0.025570 Loss_D_real: -0.022759 Loss_D_fake 0.002105
[655/5000][355/535][67425] Loss_D: -0.024623 Loss_G: 0.020149 Loss_D_real: -0.025565 Loss_D_fake -0.000942
[655/5000][360/535][67426] Loss_D: -0.025562 Loss_G: 0.017991 Loss_D_real: -0.009870 Loss_D_fake 0.015692
[655/5000][365/535][67427] Loss_D: -0.024842 Loss_G: 0.034623 Loss_D_real: -0.020344 Loss_D_fake 0.004498
[655/5000][370/535][67428] Loss_D: -0.024321 Loss_G: 0.014791 Loss_D_real: -0.023628 Loss_D_fake 0.000694
[655/5000][375/535][67429] Loss_D: -0.024458 Loss_G: 0.017019 Loss_D_real: -0.020253 Loss_D_fake 0.004205
[655/5000][380/535][67430] Loss_D: -0.024286 Loss_G: -0.009594 Loss_D_real: 0.000700 Loss_D_fake 0.024986
[655/5000][385/535][67431] Loss_D: -0.023411 Loss_G: 0.011572 Loss_D_real: -0.026142 Loss_D_fake -0.002731
[655/5000][390/535][67432] Loss_D: -0.024888 Loss_G: 0.027992 Loss_D_real: -0.020879 Loss_D_fake 0.004009
[655/5000][395/535][67433] Loss_D: -0.023216 Loss_G: 0.023194 Loss_D_real: -0.018411 Loss_D_fake 0.004805
[655/5000][400/535][67434] Loss_D: -0.023653 Loss_G: -0.008034 Loss_D_real: 0.008445 Loss_D_fake 0.032098
[655/5000][405/535][67435] Loss_D: -0.023100 Loss_G: 0.015037 Loss_D_real: -0.008979 Loss_D_fake 0.014121
[655/5000][410/535][67436] Loss_D: -0.024785 Loss_G: 0.008521 Loss_D_real: -0.018089 Loss_D_fake 0.006697
[655/5000][415/535][67437] Loss_D: -0.024448 Loss_G: 0.005057 Loss_D_real: -0.000346 Loss_D_fake 0.024103
[655/5000][420/535][67438] Loss_D: -0.025142 Loss_G: 0.032831 Loss_D_real: -0.020804 Loss_D_fake 0.004338
[655/5000][425/535][67439] Loss_D: -0.024885 Loss_G: 0.015260 Loss_D_real: -0.018380 Loss_D_fake 0.006505
[655/5000][430/535][67440] Loss_D: -0.025031 Loss_G: 0.011877 Loss_D_real: -0.015386 Loss_D_fake 0.009645
[655/5000][435/535][67441] Loss_D: -0.024329 Loss_G: 0.010578 Loss_D_real: -0.014896 Loss_D_fake 0.009432
[655/5000][440/535][67442] Loss_D: -0.023256 Loss_G: 0.004515 Loss_D_real: -0.014754 Loss_D_fake 0.008501
[655/5000][445/535][67443] Loss_D: -0.024605 Loss_G: 0.026780 Loss_D_real: -0.023123 Loss_D_fake 0.001483
[655/5000][450/535][67444] Loss_D: -0.023536 Loss_G: 0.015205 Loss_D_real: -0.013849 Loss_D_fake 0.009687
[655/5000][455/535][67445] Loss_D: -0.024438 Loss_G: 0.027430 Loss_D_real: -0.025800 Loss_D_fake -0.001362
[655/5000][460/535][67446] Loss_D: -0.024104 Loss_G: 0.023367 Loss_D_real: -0.015244 Loss_D_fake 0.008860
[655/5000][465/535][67447] Loss_D: -0.024248 Loss_G: 0.025960 Loss_D_real: -0.020640 Loss_D_fake 0.003608
[655/5000][470/535][67448] Loss_D: -0.024811 Loss_G: -0.009917 Loss_D_real: 0.001175 Loss_D_fake 0.025986
[655/5000][475/535][67449] Loss_D: -0.023865 Loss_G: 0.011410 Loss_D_real: -0.008372 Loss_D_fake 0.015493
[655/5000][480/535][67450] Loss_D: -0.022249 Loss_G: 0.005782 Loss_D_real: -0.008864 Loss_D_fake 0.013385
[655/5000][485/535][67451] Loss_D: -0.024275 Loss_G: -0.003661 Loss_D_real: -0.010256 Loss_D_fake 0.014019
[655/5000][490/535][67452] Loss_D: -0.025007 Loss_G: 0.005235 Loss_D_real: -0.008548 Loss_D_fake 0.016459
[655/5000][495/535][67453] Loss_D: -0.025101 Loss_G: 0.039670 Loss_D_real: -0.026404 Loss_D_fake -0.001303
[655/5000][500/535][67454] Loss_D: -0.021984 Loss_G: -0.008943 Loss_D_real: 0.008026 Loss_D_fake 0.030010
[655/5000][505/535][67455] Loss_D: -0.024466 Loss_G: 0.028537 Loss_D_real: -0.026406 Loss_D_fake -0.001940
[655/5000][510/535][67456] Loss_D: -0.024315 Loss_G: 0.028134 Loss_D_real: -0.024238 Loss_D_fake 0.000078
[655/5000][515/535][67457] Loss_D: -0.023825 Loss_G: 0.024930 Loss_D_real: -0.025331 Loss_D_fake -0.001506
[655/5000][520/535][67458] Loss_D: -0.024576 Loss_G: 0.008127 Loss_D_real: -0.015408 Loss_D_fake 0.009169
[655/5000][525/535][67459] Loss_D: -0.023882 Loss_G: 0.021622 Loss_D_real: -0.023647 Loss_D_fake 0.000234
[655/5000][530/535][67460] Loss_D: -0.025076 Loss_G: 0.015101 Loss_D_real: -0.007849 Loss_D_fake 0.017228
[655/5000][535/535][67461] Loss_D: -0.021095 Loss_G: -0.017692 Loss_D_real: -0.002072 Loss_D_fake 0.019023
[656/5000][5/535][67462] Loss_D: -0.023602 Loss_G: 0.012569 Loss_D_real: -0.017662 Loss_D_fake 0.005940
[656/5000][10/535][67463] Loss_D: -0.024704 Loss_G: 0.010213 Loss_D_real: -0.011087 Loss_D_fake 0.013617
[656/5000][15/535][67464] Loss_D: -0.024243 Loss_G: 0.017671 Loss_D_real: -0.016031 Loss_D_fake 0.008212
[656/5000][20/535][67465] Loss_D: -0.024556 Loss_G: 0.011804 Loss_D_real: -0.018440 Loss_D_fake 0.006116
[656/5000][25/535][67466] Loss_D: -0.023728 Loss_G: 0.003377 Loss_D_real: -0.010281 Loss_D_fake 0.013447
[656/5000][30/535][67467] Loss_D: -0.023500 Loss_G: 0.023583 Loss_D_real: -0.022008 Loss_D_fake 0.001493
[656/5000][35/535][67468] Loss_D: -0.024240 Loss_G: 0.013400 Loss_D_real: -0.025165 Loss_D_fake -0.000925
[656/5000][40/535][67469] Loss_D: -0.024513 Loss_G: 0.009703 Loss_D_real: -0.005535 Loss_D_fake 0.018978
[656/5000][45/535][67470] Loss_D: -0.024760 Loss_G: 0.038131 Loss_D_real: -0.021333 Loss_D_fake 0.003426
[656/5000][50/535][67471] Loss_D: -0.024423 Loss_G: 0.026774 Loss_D_real: -0.016664 Loss_D_fake 0.007759
[656/5000][55/535][67472] Loss_D: -0.024106 Loss_G: 0.016849 Loss_D_real: -0.013082 Loss_D_fake 0.011024
[656/5000][60/535][67473] Loss_D: -0.021226 Loss_G: 0.036376 Loss_D_real: -0.029380 Loss_D_fake -0.008154
[656/5000][65/535][67474] Loss_D: -0.025062 Loss_G: 0.028410 Loss_D_real: -0.027546 Loss_D_fake -0.002484
[656/5000][70/535][67475] Loss_D: -0.024349 Loss_G: 0.026435 Loss_D_real: -0.027379 Loss_D_fake -0.003030
[656/5000][75/535][67476] Loss_D: -0.024245 Loss_G: 0.022483 Loss_D_real: -0.024558 Loss_D_fake -0.000313
[656/5000][80/535][67477] Loss_D: -0.024444 Loss_G: 0.017913 Loss_D_real: -0.001116 Loss_D_fake 0.023329
[656/5000][85/535][67478] Loss_D: -0.024696 Loss_G: 0.020704 Loss_D_real: -0.020692 Loss_D_fake 0.004004
[656/5000][90/535][67479] Loss_D: -0.023186 Loss_G: 0.021045 Loss_D_real: -0.023394 Loss_D_fake -0.000208
[656/5000][95/535][67480] Loss_D: -0.025039 Loss_G: 0.008271 Loss_D_real: -0.013760 Loss_D_fake 0.011279
[656/5000][100/535][67481] Loss_D: -0.024221 Loss_G: 0.037994 Loss_D_real: -0.033096 Loss_D_fake -0.008874
[656/5000][105/535][67482] Loss_D: -0.024765 Loss_G: 0.014387 Loss_D_real: -0.011886 Loss_D_fake 0.012880
[656/5000][110/535][67483] Loss_D: -0.024094 Loss_G: 0.029357 Loss_D_real: -0.017673 Loss_D_fake 0.006421
[656/5000][115/535][67484] Loss_D: -0.025090 Loss_G: 0.007010 Loss_D_real: -0.008630 Loss_D_fake 0.016461
[656/5000][120/535][67485] Loss_D: -0.025399 Loss_G: 0.019473 Loss_D_real: -0.018337 Loss_D_fake 0.007063
[656/5000][125/535][67486] Loss_D: -0.023939 Loss_G: 0.021414 Loss_D_real: -0.027745 Loss_D_fake -0.003805
[656/5000][130/535][67487] Loss_D: -0.024507 Loss_G: 0.022440 Loss_D_real: -0.018411 Loss_D_fake 0.006096
[656/5000][135/535][67488] Loss_D: -0.024499 Loss_G: 0.005072 Loss_D_real: -0.008656 Loss_D_fake 0.015843
[656/5000][140/535][67489] Loss_D: -0.024281 Loss_G: 0.017269 Loss_D_real: -0.014509 Loss_D_fake 0.009772
[656/5000][145/535][67490] Loss_D: -0.024382 Loss_G: 0.020787 Loss_D_real: -0.011384 Loss_D_fake 0.012998
[656/5000][150/535][67491] Loss_D: -0.025764 Loss_G: 0.005118 Loss_D_real: -0.017990 Loss_D_fake 0.007774
[656/5000][155/535][67492] Loss_D: -0.024149 Loss_G: 0.027879 Loss_D_real: -0.027136 Loss_D_fake -0.002988
[656/5000][160/535][67493] Loss_D: -0.023495 Loss_G: 0.027208 Loss_D_real: -0.030718 Loss_D_fake -0.007223
[656/5000][165/535][67494] Loss_D: -0.024033 Loss_G: 0.001378 Loss_D_real: -0.011796 Loss_D_fake 0.012237
[656/5000][170/535][67495] Loss_D: -0.025599 Loss_G: 0.027252 Loss_D_real: -0.023839 Loss_D_fake 0.001760
[656/5000][175/535][67496] Loss_D: -0.024573 Loss_G: 0.007890 Loss_D_real: -0.010634 Loss_D_fake 0.013939
[656/5000][180/535][67497] Loss_D: -0.023717 Loss_G: -0.005015 Loss_D_real: 0.007513 Loss_D_fake 0.031230
[656/5000][185/535][67498] Loss_D: -0.023841 Loss_G: -0.005149 Loss_D_real: -0.011508 Loss_D_fake 0.012333
[656/5000][190/535][67499] Loss_D: -0.024686 Loss_G: 0.039034 Loss_D_real: -0.021894 Loss_D_fake 0.002792
[656/5000][195/535][67500] Loss_D: -0.022700 Loss_G: 0.019202 Loss_D_real: -0.024424 Loss_D_fake -0.001724
[656/5000][295/535][67501] Loss_D: -0.026269 Loss_G: 0.019403 Loss_D_real: -0.019775 Loss_D_fake 0.006494
[656/5000][300/535][67502] Loss_D: -0.025711 Loss_G: 0.002767 Loss_D_real: -0.011083 Loss_D_fake 0.014628
[656/5000][305/535][67503] Loss_D: -0.022330 Loss_G: -0.003999 Loss_D_real: -0.001781 Loss_D_fake 0.020549
[656/5000][310/535][67504] Loss_D: -0.023387 Loss_G: 0.015317 Loss_D_real: -0.020801 Loss_D_fake 0.002586
[656/5000][315/535][67505] Loss_D: -0.023909 Loss_G: 0.008186 Loss_D_real: -0.011092 Loss_D_fake 0.012818
[656/5000][320/535][67506] Loss_D: -0.023551 Loss_G: 0.010836 Loss_D_real: -0.015629 Loss_D_fake 0.007922
[656/5000][325/535][67507] Loss_D: -0.023023 Loss_G: 0.011256 Loss_D_real: -0.015832 Loss_D_fake 0.007191
[656/5000][330/535][67508] Loss_D: -0.024041 Loss_G: 0.015316 Loss_D_real: -0.009738 Loss_D_fake 0.014303
[656/5000][335/535][67509] Loss_D: -0.025381 Loss_G: 0.002218 Loss_D_real: -0.007266 Loss_D_fake 0.018116
[656/5000][340/535][67510] Loss_D: -0.023478 Loss_G: 0.023510 Loss_D_real: -0.016814 Loss_D_fake 0.006664
[656/5000][345/535][67511] Loss_D: -0.023924 Loss_G: 0.012125 Loss_D_real: -0.018455 Loss_D_fake 0.005469
[656/5000][350/535][67512] Loss_D: -0.023352 Loss_G: -0.000284 Loss_D_real: 0.003433 Loss_D_fake 0.026785
[656/5000][355/535][67513] Loss_D: -0.024900 Loss_G: 0.023154 Loss_D_real: -0.018279 Loss_D_fake 0.006621
[656/5000][360/535][67514] Loss_D: -0.024247 Loss_G: 0.026946 Loss_D_real: -0.019718 Loss_D_fake 0.004528
[656/5000][365/535][67515] Loss_D: -0.023309 Loss_G: -0.005960 Loss_D_real: -0.006674 Loss_D_fake 0.016634
[656/5000][370/535][67516] Loss_D: -0.024080 Loss_G: 0.006141 Loss_D_real: -0.013468 Loss_D_fake 0.010613
[656/5000][375/535][67517] Loss_D: -0.021805 Loss_G: 0.026906 Loss_D_real: -0.033128 Loss_D_fake -0.011323
[656/5000][380/535][67518] Loss_D: -0.023784 Loss_G: 0.022453 Loss_D_real: -0.023741 Loss_D_fake 0.000043
[656/5000][385/535][67519] Loss_D: -0.023326 Loss_G: 0.032744 Loss_D_real: -0.031621 Loss_D_fake -0.008296
[656/5000][390/535][67520] Loss_D: -0.025241 Loss_G: 0.007408 Loss_D_real: -0.017764 Loss_D_fake 0.007477
[656/5000][395/535][67521] Loss_D: -0.023247 Loss_G: 0.025309 Loss_D_real: -0.016883 Loss_D_fake 0.006364
[656/5000][400/535][67522] Loss_D: -0.025000 Loss_G: -0.000828 Loss_D_real: -0.005389 Loss_D_fake 0.019611
[656/5000][405/535][67523] Loss_D: -0.020414 Loss_G: -0.014387 Loss_D_real: 0.005682 Loss_D_fake 0.026096
[656/5000][410/535][67524] Loss_D: -0.023820 Loss_G: 0.019174 Loss_D_real: -0.016764 Loss_D_fake 0.007055
[656/5000][415/535][67525] Loss_D: -0.024574 Loss_G: 0.016620 Loss_D_real: -0.018126 Loss_D_fake 0.006447
[656/5000][420/535][67526] Loss_D: -0.023629 Loss_G: 0.013220 Loss_D_real: -0.013099 Loss_D_fake 0.010530
[656/5000][425/535][67527] Loss_D: -0.024826 Loss_G: 0.015932 Loss_D_real: -0.020080 Loss_D_fake 0.004746
[656/5000][430/535][67528] Loss_D: -0.024858 Loss_G: 0.013884 Loss_D_real: -0.007808 Loss_D_fake 0.017050
[656/5000][435/535][67529] Loss_D: -0.022976 Loss_G: 0.025634 Loss_D_real: -0.019982 Loss_D_fake 0.002995
[656/5000][440/535][67530] Loss_D: -0.024685 Loss_G: 0.005510 Loss_D_real: -0.019870 Loss_D_fake 0.004815
[656/5000][445/535][67531] Loss_D: -0.024268 Loss_G: 0.007819 Loss_D_real: -0.019424 Loss_D_fake 0.004844
[656/5000][450/535][67532] Loss_D: -0.023326 Loss_G: 0.006998 Loss_D_real: -0.015703 Loss_D_fake 0.007623
[656/5000][455/535][67533] Loss_D: -0.023399 Loss_G: 0.040353 Loss_D_real: -0.030576 Loss_D_fake -0.007176
[656/5000][460/535][67534] Loss_D: -0.024645 Loss_G: 0.004389 Loss_D_real: -0.016471 Loss_D_fake 0.008174
[656/5000][465/535][67535] Loss_D: -0.023137 Loss_G: 0.000894 Loss_D_real: -0.007104 Loss_D_fake 0.016033
[656/5000][470/535][67536] Loss_D: -0.023176 Loss_G: -0.001035 Loss_D_real: 0.000593 Loss_D_fake 0.023769
[656/5000][475/535][67537] Loss_D: -0.023505 Loss_G: -0.000337 Loss_D_real: -0.004300 Loss_D_fake 0.019204
[656/5000][480/535][67538] Loss_D: -0.023625 Loss_G: 0.003510 Loss_D_real: -0.009765 Loss_D_fake 0.013860
[656/5000][485/535][67539] Loss_D: -0.024265 Loss_G: 0.004749 Loss_D_real: -0.014095 Loss_D_fake 0.010170
[656/5000][490/535][67540] Loss_D: -0.025226 Loss_G: 0.014004 Loss_D_real: -0.019191 Loss_D_fake 0.006035
[656/5000][495/535][67541] Loss_D: -0.025295 Loss_G: 0.005267 Loss_D_real: -0.000468 Loss_D_fake 0.024827
[656/5000][500/535][67542] Loss_D: -0.021519 Loss_G: 0.027372 Loss_D_real: -0.033918 Loss_D_fake -0.012399
[656/5000][505/535][67543] Loss_D: -0.024815 Loss_G: 0.010660 Loss_D_real: -0.009338 Loss_D_fake 0.015477
[656/5000][510/535][67544] Loss_D: -0.025051 Loss_G: 0.017233 Loss_D_real: -0.010528 Loss_D_fake 0.014523
[656/5000][515/535][67545] Loss_D: -0.023524 Loss_G: -0.012035 Loss_D_real: -0.006552 Loss_D_fake 0.016972
[656/5000][520/535][67546] Loss_D: -0.023833 Loss_G: 0.017352 Loss_D_real: -0.017332 Loss_D_fake 0.006500
[656/5000][525/535][67547] Loss_D: -0.023863 Loss_G: 0.010640 Loss_D_real: -0.019376 Loss_D_fake 0.004487
[656/5000][530/535][67548] Loss_D: -0.024339 Loss_G: 0.019551 Loss_D_real: -0.012698 Loss_D_fake 0.011640
[656/5000][535/535][67549] Loss_D: -0.023808 Loss_G: -0.010175 Loss_D_real: -0.003121 Loss_D_fake 0.020687
[657/5000][5/535][67550] Loss_D: -0.023402 Loss_G: 0.001300 Loss_D_real: -0.002541 Loss_D_fake 0.020862
[657/5000][10/535][67551] Loss_D: -0.023454 Loss_G: 0.017129 Loss_D_real: -0.019119 Loss_D_fake 0.004335
[657/5000][15/535][67552] Loss_D: -0.024819 Loss_G: 0.018476 Loss_D_real: -0.019099 Loss_D_fake 0.005720
[657/5000][20/535][67553] Loss_D: -0.024941 Loss_G: 0.019842 Loss_D_real: -0.020151 Loss_D_fake 0.004790
[657/5000][25/535][67554] Loss_D: -0.025373 Loss_G: 0.014294 Loss_D_real: -0.018869 Loss_D_fake 0.006504
[657/5000][30/535][67555] Loss_D: -0.024395 Loss_G: 0.025508 Loss_D_real: -0.026171 Loss_D_fake -0.001777
[657/5000][35/535][67556] Loss_D: -0.024898 Loss_G: 0.004403 Loss_D_real: -0.007997 Loss_D_fake 0.016901
[657/5000][40/535][67557] Loss_D: -0.023836 Loss_G: 0.019447 Loss_D_real: -0.016882 Loss_D_fake 0.006954
[657/5000][45/535][67558] Loss_D: -0.024355 Loss_G: 0.028393 Loss_D_real: -0.024203 Loss_D_fake 0.000152
[657/5000][50/535][67559] Loss_D: -0.025184 Loss_G: 0.004651 Loss_D_real: -0.009287 Loss_D_fake 0.015898
[657/5000][55/535][67560] Loss_D: -0.023820 Loss_G: 0.032082 Loss_D_real: -0.027894 Loss_D_fake -0.004074
[657/5000][60/535][67561] Loss_D: -0.023761 Loss_G: 0.016864 Loss_D_real: -0.017003 Loss_D_fake 0.006758
[657/5000][65/535][67562] Loss_D: -0.026353 Loss_G: 0.011530 Loss_D_real: -0.012249 Loss_D_fake 0.014104
[657/5000][70/535][67563] Loss_D: -0.024568 Loss_G: 0.012532 Loss_D_real: -0.015273 Loss_D_fake 0.009295
[657/5000][75/535][67564] Loss_D: -0.023689 Loss_G: 0.000626 Loss_D_real: -0.011300 Loss_D_fake 0.012390
[657/5000][80/535][67565] Loss_D: -0.025289 Loss_G: 0.008183 Loss_D_real: -0.014479 Loss_D_fake 0.010811
[657/5000][85/535][67566] Loss_D: -0.024642 Loss_G: 0.012184 Loss_D_real: -0.006273 Loss_D_fake 0.018368
[657/5000][90/535][67567] Loss_D: -0.024353 Loss_G: 0.016125 Loss_D_real: -0.023003 Loss_D_fake 0.001350
[657/5000][95/535][67568] Loss_D: -0.023885 Loss_G: 0.016738 Loss_D_real: -0.019627 Loss_D_fake 0.004258
[657/5000][100/535][67569] Loss_D: -0.024057 Loss_G: 0.041556 Loss_D_real: -0.028359 Loss_D_fake -0.004302
[657/5000][105/535][67570] Loss_D: -0.023091 Loss_G: 0.009721 Loss_D_real: -0.010839 Loss_D_fake 0.012252
[657/5000][110/535][67571] Loss_D: -0.024403 Loss_G: 0.030687 Loss_D_real: -0.021735 Loss_D_fake 0.002668
[657/5000][115/535][67572] Loss_D: -0.024330 Loss_G: 0.006066 Loss_D_real: -0.006891 Loss_D_fake 0.017438
[657/5000][120/535][67573] Loss_D: -0.023442 Loss_G: -0.008841 Loss_D_real: -0.007535 Loss_D_fake 0.015907
[657/5000][125/535][67574] Loss_D: -0.023816 Loss_G: 0.011306 Loss_D_real: -0.008099 Loss_D_fake 0.015717
[657/5000][130/535][67575] Loss_D: -0.023898 Loss_G: 0.024963 Loss_D_real: -0.019751 Loss_D_fake 0.004146
[657/5000][135/535][67576] Loss_D: -0.024224 Loss_G: 0.007566 Loss_D_real: -0.010429 Loss_D_fake 0.013795
[657/5000][140/535][67577] Loss_D: -0.024251 Loss_G: 0.006787 Loss_D_real: -0.003414 Loss_D_fake 0.020837
[657/5000][145/535][67578] Loss_D: -0.022610 Loss_G: 0.034793 Loss_D_real: -0.031094 Loss_D_fake -0.008484
[657/5000][150/535][67579] Loss_D: -0.023829 Loss_G: 0.004541 Loss_D_real: -0.003028 Loss_D_fake 0.020801
[657/5000][155/535][67580] Loss_D: -0.023983 Loss_G: 0.004695 Loss_D_real: -0.008937 Loss_D_fake 0.015046
[657/5000][160/535][67581] Loss_D: -0.024669 Loss_G: 0.019367 Loss_D_real: -0.012524 Loss_D_fake 0.012145
[657/5000][165/535][67582] Loss_D: -0.024985 Loss_G: 0.000338 Loss_D_real: -0.008359 Loss_D_fake 0.016625
[657/5000][170/535][67583] Loss_D: -0.022864 Loss_G: -0.008545 Loss_D_real: 0.000640 Loss_D_fake 0.023504
[657/5000][175/535][67584] Loss_D: -0.024212 Loss_G: 0.022417 Loss_D_real: -0.024148 Loss_D_fake 0.000064
[657/5000][180/535][67585] Loss_D: -0.024146 Loss_G: 0.016983 Loss_D_real: -0.017337 Loss_D_fake 0.006809
[657/5000][185/535][67586] Loss_D: -0.024627 Loss_G: 0.008490 Loss_D_real: -0.016338 Loss_D_fake 0.008289
[657/5000][190/535][67587] Loss_D: -0.024431 Loss_G: 0.023941 Loss_D_real: -0.023534 Loss_D_fake 0.000897
[657/5000][195/535][67588] Loss_D: -0.024796 Loss_G: 0.024470 Loss_D_real: -0.027567 Loss_D_fake -0.002771
[657/5000][200/535][67589] Loss_D: -0.023594 Loss_G: 0.029823 Loss_D_real: -0.028948 Loss_D_fake -0.005354
[657/5000][205/535][67590] Loss_D: -0.023574 Loss_G: 0.022709 Loss_D_real: -0.017841 Loss_D_fake 0.005733
[657/5000][210/535][67591] Loss_D: -0.023817 Loss_G: -0.015092 Loss_D_real: 0.002679 Loss_D_fake 0.026496
[657/5000][215/535][67592] Loss_D: -0.023228 Loss_G: 0.002749 Loss_D_real: -0.013007 Loss_D_fake 0.010221
[657/5000][220/535][67593] Loss_D: -0.024488 Loss_G: 0.021563 Loss_D_real: -0.011688 Loss_D_fake 0.012801
[657/5000][225/535][67594] Loss_D: -0.024761 Loss_G: -0.002048 Loss_D_real: -0.007578 Loss_D_fake 0.017183
[657/5000][230/535][67595] Loss_D: -0.022679 Loss_G: 0.015627 Loss_D_real: -0.020000 Loss_D_fake 0.002679
[657/5000][235/535][67596] Loss_D: -0.022317 Loss_G: -0.000478 Loss_D_real: 0.000915 Loss_D_fake 0.023232
[657/5000][240/535][67597] Loss_D: -0.023986 Loss_G: 0.005355 Loss_D_real: -0.013157 Loss_D_fake 0.010829
[657/5000][245/535][67598] Loss_D: -0.024685 Loss_G: 0.015301 Loss_D_real: -0.017476 Loss_D_fake 0.007209
[657/5000][250/535][67599] Loss_D: -0.025529 Loss_G: 0.023000 Loss_D_real: -0.014984 Loss_D_fake 0.010545
[657/5000][255/535][67600] Loss_D: -0.025385 Loss_G: -0.009027 Loss_D_real: -0.004567 Loss_D_fake 0.020818
[657/5000][260/535][67601] Loss_D: -0.025229 Loss_G: 0.016444 Loss_D_real: -0.013179 Loss_D_fake 0.012050
[657/5000][265/535][67602] Loss_D: -0.023049 Loss_G: -0.008098 Loss_D_real: -0.000502 Loss_D_fake 0.022547
[657/5000][270/535][67603] Loss_D: -0.025123 Loss_G: 0.016319 Loss_D_real: -0.004869 Loss_D_fake 0.020254
[657/5000][275/535][67604] Loss_D: -0.025037 Loss_G: 0.005548 Loss_D_real: -0.006830 Loss_D_fake 0.018207
[657/5000][280/535][67605] Loss_D: -0.024060 Loss_G: 0.006272 Loss_D_real: -0.006324 Loss_D_fake 0.017736
[657/5000][285/535][67606] Loss_D: -0.024006 Loss_G: 0.021219 Loss_D_real: -0.023736 Loss_D_fake 0.000270
[657/5000][290/535][67607] Loss_D: -0.024809 Loss_G: 0.012769 Loss_D_real: -0.004529 Loss_D_fake 0.020280
[657/5000][295/535][67608] Loss_D: -0.023751 Loss_G: 0.043777 Loss_D_real: -0.023800 Loss_D_fake -0.000049
[657/5000][300/535][67609] Loss_D: -0.024114 Loss_G: -0.005238 Loss_D_real: 0.001710 Loss_D_fake 0.025824
[657/5000][305/535][67610] Loss_D: -0.024219 Loss_G: 0.026406 Loss_D_real: -0.024058 Loss_D_fake 0.000161
[657/5000][310/535][67611] Loss_D: -0.024312 Loss_G: 0.011412 Loss_D_real: -0.010139 Loss_D_fake 0.014173
[657/5000][315/535][67612] Loss_D: -0.024198 Loss_G: 0.010124 Loss_D_real: -0.011674 Loss_D_fake 0.012523
[657/5000][320/535][67613] Loss_D: -0.025067 Loss_G: 0.024757 Loss_D_real: -0.025340 Loss_D_fake -0.000273
[657/5000][325/535][67614] Loss_D: -0.024570 Loss_G: 0.015838 Loss_D_real: -0.009943 Loss_D_fake 0.014628
[657/5000][330/535][67615] Loss_D: -0.024754 Loss_G: 0.021535 Loss_D_real: -0.022827 Loss_D_fake 0.001927
[657/5000][335/535][67616] Loss_D: -0.024495 Loss_G: -0.002642 Loss_D_real: -0.004556 Loss_D_fake 0.019939
[657/5000][340/535][67617] Loss_D: -0.024823 Loss_G: 0.024932 Loss_D_real: -0.016201 Loss_D_fake 0.008621
[657/5000][345/535][67618] Loss_D: -0.024415 Loss_G: 0.022127 Loss_D_real: -0.012850 Loss_D_fake 0.011564
[657/5000][350/535][67619] Loss_D: -0.024217 Loss_G: 0.036396 Loss_D_real: -0.015335 Loss_D_fake 0.008881
[657/5000][355/535][67620] Loss_D: -0.023737 Loss_G: -0.002927 Loss_D_real: -0.004378 Loss_D_fake 0.019359
[657/5000][360/535][67621] Loss_D: -0.022984 Loss_G: 0.031605 Loss_D_real: -0.024188 Loss_D_fake -0.001204
[657/5000][365/535][67622] Loss_D: -0.025070 Loss_G: 0.013761 Loss_D_real: -0.011858 Loss_D_fake 0.013212
[657/5000][370/535][67623] Loss_D: -0.023984 Loss_G: -0.009446 Loss_D_real: -0.003863 Loss_D_fake 0.020120
[657/5000][375/535][67624] Loss_D: -0.021683 Loss_G: 0.027489 Loss_D_real: -0.040026 Loss_D_fake -0.018343
[657/5000][380/535][67625] Loss_D: -0.024194 Loss_G: 0.027088 Loss_D_real: -0.025836 Loss_D_fake -0.001642
[657/5000][385/535][67626] Loss_D: -0.024584 Loss_G: 0.024139 Loss_D_real: -0.012473 Loss_D_fake 0.012110
[657/5000][390/535][67627] Loss_D: -0.023090 Loss_G: 0.021568 Loss_D_real: -0.025902 Loss_D_fake -0.002812
[657/5000][395/535][67628] Loss_D: -0.024259 Loss_G: 0.033829 Loss_D_real: -0.023481 Loss_D_fake 0.000778
[657/5000][400/535][67629] Loss_D: -0.023382 Loss_G: 0.005487 Loss_D_real: -0.009667 Loss_D_fake 0.013715
[657/5000][405/535][67630] Loss_D: -0.024105 Loss_G: 0.000845 Loss_D_real: -0.009196 Loss_D_fake 0.014909
[657/5000][410/535][67631] Loss_D: -0.024278 Loss_G: 0.035070 Loss_D_real: -0.021496 Loss_D_fake 0.002783
[657/5000][415/535][67632] Loss_D: -0.024041 Loss_G: -0.008263 Loss_D_real: -0.001269 Loss_D_fake 0.022772
[657/5000][420/535][67633] Loss_D: -0.024294 Loss_G: 0.028896 Loss_D_real: -0.015096 Loss_D_fake 0.009198
[657/5000][425/535][67634] Loss_D: -0.024266 Loss_G: 0.006383 Loss_D_real: -0.012772 Loss_D_fake 0.011495
[657/5000][430/535][67635] Loss_D: -0.024940 Loss_G: 0.004898 Loss_D_real: -0.012504 Loss_D_fake 0.012436
[657/5000][435/535][67636] Loss_D: -0.024741 Loss_G: 0.009594 Loss_D_real: -0.017649 Loss_D_fake 0.007092
[657/5000][440/535][67637] Loss_D: -0.024766 Loss_G: 0.028772 Loss_D_real: -0.026671 Loss_D_fake -0.001905
[657/5000][445/535][67638] Loss_D: -0.023994 Loss_G: 0.023987 Loss_D_real: -0.029964 Loss_D_fake -0.005970
[657/5000][450/535][67639] Loss_D: -0.023512 Loss_G: -0.003216 Loss_D_real: 0.000654 Loss_D_fake 0.024167
[657/5000][455/535][67640] Loss_D: -0.022451 Loss_G: 0.017567 Loss_D_real: -0.013368 Loss_D_fake 0.009084
[657/5000][460/535][67641] Loss_D: -0.023429 Loss_G: 0.011611 Loss_D_real: -0.017320 Loss_D_fake 0.006109
[657/5000][465/535][67642] Loss_D: -0.024313 Loss_G: 0.001761 Loss_D_real: -0.019398 Loss_D_fake 0.004915
[657/5000][470/535][67643] Loss_D: -0.023282 Loss_G: 0.016703 Loss_D_real: -0.018397 Loss_D_fake 0.004885
[657/5000][475/535][67644] Loss_D: -0.022935 Loss_G: 0.001926 Loss_D_real: -0.002265 Loss_D_fake 0.020671
[657/5000][480/535][67645] Loss_D: -0.024365 Loss_G: 0.016867 Loss_D_real: -0.023159 Loss_D_fake 0.001206
[657/5000][485/535][67646] Loss_D: -0.024155 Loss_G: 0.009822 Loss_D_real: -0.004668 Loss_D_fake 0.019487
[657/5000][490/535][67647] Loss_D: -0.024713 Loss_G: 0.003423 Loss_D_real: -0.012830 Loss_D_fake 0.011884
[657/5000][495/535][67648] Loss_D: -0.025808 Loss_G: 0.013292 Loss_D_real: -0.008194 Loss_D_fake 0.017614
[657/5000][500/535][67649] Loss_D: -0.024614 Loss_G: 0.015788 Loss_D_real: -0.017759 Loss_D_fake 0.006855
[657/5000][505/535][67650] Loss_D: -0.024177 Loss_G: 0.019206 Loss_D_real: -0.008464 Loss_D_fake 0.015713
[657/5000][510/535][67651] Loss_D: -0.023657 Loss_G: 0.010461 Loss_D_real: -0.012740 Loss_D_fake 0.010917
[657/5000][515/535][67652] Loss_D: -0.025840 Loss_G: 0.003856 Loss_D_real: -0.012372 Loss_D_fake 0.013468
[657/5000][520/535][67653] Loss_D: -0.023569 Loss_G: 0.016310 Loss_D_real: -0.014125 Loss_D_fake 0.009444
[657/5000][525/535][67654] Loss_D: -0.023915 Loss_G: 0.005669 Loss_D_real: -0.005947 Loss_D_fake 0.017968
[657/5000][530/535][67655] Loss_D: -0.023759 Loss_G: 0.003433 Loss_D_real: -0.003193 Loss_D_fake 0.020565
[657/5000][535/535][67656] Loss_D: -0.023672 Loss_G: 0.007328 Loss_D_real: -0.014645 Loss_D_fake 0.009027
[658/5000][5/535][67657] Loss_D: -0.022883 Loss_G: -0.007075 Loss_D_real: -0.005027 Loss_D_fake 0.017856
[658/5000][10/535][67658] Loss_D: -0.022701 Loss_G: 0.023899 Loss_D_real: -0.032287 Loss_D_fake -0.009586
[658/5000][15/535][67659] Loss_D: -0.024701 Loss_G: 0.003277 Loss_D_real: -0.009973 Loss_D_fake 0.014728
[658/5000][20/535][67660] Loss_D: -0.024346 Loss_G: 0.005770 Loss_D_real: -0.014025 Loss_D_fake 0.010321
[658/5000][25/535][67661] Loss_D: -0.022956 Loss_G: 0.029631 Loss_D_real: -0.029368 Loss_D_fake -0.006413
[658/5000][30/535][67662] Loss_D: -0.023550 Loss_G: 0.006386 Loss_D_real: -0.009691 Loss_D_fake 0.013859
[658/5000][35/535][67663] Loss_D: -0.024212 Loss_G: 0.017598 Loss_D_real: -0.009436 Loss_D_fake 0.014776
[658/5000][40/535][67664] Loss_D: -0.024170 Loss_G: 0.006037 Loss_D_real: -0.013526 Loss_D_fake 0.010644
[658/5000][45/535][67665] Loss_D: -0.023685 Loss_G: 0.006076 Loss_D_real: -0.014669 Loss_D_fake 0.009016
[658/5000][50/535][67666] Loss_D: -0.022764 Loss_G: 0.035722 Loss_D_real: -0.038188 Loss_D_fake -0.015424
[658/5000][55/535][67667] Loss_D: -0.024280 Loss_G: 0.008715 Loss_D_real: -0.005377 Loss_D_fake 0.018904
[658/5000][60/535][67668] Loss_D: -0.023833 Loss_G: 0.018230 Loss_D_real: -0.023362 Loss_D_fake 0.000471
[658/5000][65/535][67669] Loss_D: -0.024020 Loss_G: 0.034387 Loss_D_real: -0.031350 Loss_D_fake -0.007330
[658/5000][70/535][67670] Loss_D: -0.023894 Loss_G: -0.000180 Loss_D_real: -0.012935 Loss_D_fake 0.010960
[658/5000][75/535][67671] Loss_D: -0.024509 Loss_G: 0.013493 Loss_D_real: -0.014707 Loss_D_fake 0.009802
[658/5000][80/535][67672] Loss_D: -0.023540 Loss_G: -0.004579 Loss_D_real: -0.008708 Loss_D_fake 0.014832
[658/5000][85/535][67673] Loss_D: -0.023557 Loss_G: 0.017292 Loss_D_real: -0.014284 Loss_D_fake 0.009273
[658/5000][90/535][67674] Loss_D: -0.024693 Loss_G: 0.006705 Loss_D_real: -0.009968 Loss_D_fake 0.014725
[658/5000][95/535][67675] Loss_D: -0.024105 Loss_G: 0.004588 Loss_D_real: -0.017372 Loss_D_fake 0.006732
[658/5000][100/535][67676] Loss_D: -0.023589 Loss_G: -0.011464 Loss_D_real: -0.006760 Loss_D_fake 0.016829
[658/5000][105/535][67677] Loss_D: -0.022606 Loss_G: 0.003905 Loss_D_real: -0.013121 Loss_D_fake 0.009485
[658/5000][110/535][67678] Loss_D: -0.023431 Loss_G: 0.041042 Loss_D_real: -0.031773 Loss_D_fake -0.008342
[658/5000][115/535][67679] Loss_D: -0.023460 Loss_G: -0.009331 Loss_D_real: 0.001296 Loss_D_fake 0.024755
[658/5000][120/535][67680] Loss_D: -0.023611 Loss_G: 0.014068 Loss_D_real: -0.011530 Loss_D_fake 0.012081
[658/5000][125/535][67681] Loss_D: -0.023930 Loss_G: -0.009686 Loss_D_real: -0.009716 Loss_D_fake 0.014215
[658/5000][130/535][67682] Loss_D: -0.025095 Loss_G: 0.012836 Loss_D_real: -0.017024 Loss_D_fake 0.008071
[658/5000][135/535][67683] Loss_D: -0.023433 Loss_G: 0.020164 Loss_D_real: -0.019797 Loss_D_fake 0.003635
[658/5000][140/535][67684] Loss_D: -0.023223 Loss_G: 0.007759 Loss_D_real: -0.009400 Loss_D_fake 0.013823
[658/5000][145/535][67685] Loss_D: -0.022272 Loss_G: -0.003116 Loss_D_real: -0.017587 Loss_D_fake 0.004685
[658/5000][150/535][67686] Loss_D: -0.022956 Loss_G: 0.014857 Loss_D_real: -0.017836 Loss_D_fake 0.005120
[658/5000][155/535][67687] Loss_D: -0.023000 Loss_G: 0.020141 Loss_D_real: -0.019658 Loss_D_fake 0.003342
[658/5000][160/535][67688] Loss_D: -0.022483 Loss_G: 0.041151 Loss_D_real: -0.028384 Loss_D_fake -0.005900
[658/5000][165/535][67689] Loss_D: -0.023894 Loss_G: 0.018406 Loss_D_real: -0.014830 Loss_D_fake 0.009064
[658/5000][170/535][67690] Loss_D: -0.024777 Loss_G: 0.011202 Loss_D_real: -0.016195 Loss_D_fake 0.008581
[658/5000][175/535][67691] Loss_D: -0.025518 Loss_G: 0.000626 Loss_D_real: -0.010982 Loss_D_fake 0.014536
[658/5000][180/535][67692] Loss_D: -0.024645 Loss_G: 0.024476 Loss_D_real: -0.027706 Loss_D_fake -0.003061
[658/5000][185/535][67693] Loss_D: -0.024914 Loss_G: 0.014547 Loss_D_real: -0.011907 Loss_D_fake 0.013006
[658/5000][190/535][67694] Loss_D: -0.025491 Loss_G: -0.006140 Loss_D_real: -0.002325 Loss_D_fake 0.023166
[658/5000][195/535][67695] Loss_D: -0.023994 Loss_G: 0.017358 Loss_D_real: -0.029742 Loss_D_fake -0.005748
[658/5000][200/535][67696] Loss_D: -0.024703 Loss_G: 0.010055 Loss_D_real: -0.009144 Loss_D_fake 0.015558
[658/5000][205/535][67697] Loss_D: -0.023009 Loss_G: 0.007180 Loss_D_real: 0.000217 Loss_D_fake 0.023226
[658/5000][210/535][67698] Loss_D: -0.023599 Loss_G: 0.022930 Loss_D_real: -0.034449 Loss_D_fake -0.010850
[658/5000][215/535][67699] Loss_D: -0.024839 Loss_G: 0.014478 Loss_D_real: -0.016628 Loss_D_fake 0.008211
[658/5000][220/535][67700] Loss_D: -0.024153 Loss_G: 0.020729 Loss_D_real: -0.012068 Loss_D_fake 0.012085
[658/5000][225/535][67701] Loss_D: -0.024432 Loss_G: 0.025438 Loss_D_real: -0.024434 Loss_D_fake -0.000001
[658/5000][230/535][67702] Loss_D: -0.024138 Loss_G: 0.000208 Loss_D_real: -0.001023 Loss_D_fake 0.023115
[658/5000][235/535][67703] Loss_D: -0.022962 Loss_G: 0.030328 Loss_D_real: -0.033946 Loss_D_fake -0.010985
[658/5000][240/535][67704] Loss_D: -0.024423 Loss_G: 0.002101 Loss_D_real: -0.005995 Loss_D_fake 0.018428
[658/5000][245/535][67705] Loss_D: -0.023992 Loss_G: 0.011821 Loss_D_real: -0.011709 Loss_D_fake 0.012283
[658/5000][250/535][67706] Loss_D: -0.024670 Loss_G: 0.018025 Loss_D_real: -0.014236 Loss_D_fake 0.010434
[658/5000][255/535][67707] Loss_D: -0.023934 Loss_G: 0.009640 Loss_D_real: -0.008658 Loss_D_fake 0.015275
[658/5000][260/535][67708] Loss_D: -0.025762 Loss_G: 0.002702 Loss_D_real: -0.011238 Loss_D_fake 0.014524
[658/5000][265/535][67709] Loss_D: -0.023662 Loss_G: 0.023481 Loss_D_real: -0.024065 Loss_D_fake -0.000403
[658/5000][270/535][67710] Loss_D: -0.025957 Loss_G: 0.011797 Loss_D_real: -0.008752 Loss_D_fake 0.017204
[658/5000][275/535][67711] Loss_D: -0.023509 Loss_G: 0.021272 Loss_D_real: -0.029197 Loss_D_fake -0.005688
[658/5000][280/535][67712] Loss_D: -0.023540 Loss_G: -0.011540 Loss_D_real: -0.000549 Loss_D_fake 0.022990
[658/5000][285/535][67713] Loss_D: -0.024706 Loss_G: 0.007385 Loss_D_real: -0.005928 Loss_D_fake 0.018778
[658/5000][290/535][67714] Loss_D: -0.025130 Loss_G: 0.019422 Loss_D_real: -0.023273 Loss_D_fake 0.001857
[658/5000][295/535][67715] Loss_D: -0.024641 Loss_G: 0.018752 Loss_D_real: -0.011887 Loss_D_fake 0.012754
[658/5000][300/535][67716] Loss_D: -0.023141 Loss_G: 0.023461 Loss_D_real: -0.031975 Loss_D_fake -0.008834
[658/5000][305/535][67717] Loss_D: -0.024597 Loss_G: 0.006488 Loss_D_real: -0.011159 Loss_D_fake 0.013438
[658/5000][310/535][67718] Loss_D: -0.025028 Loss_G: 0.007588 Loss_D_real: -0.013245 Loss_D_fake 0.011783
[658/5000][315/535][67719] Loss_D: -0.023842 Loss_G: 0.038356 Loss_D_real: -0.034473 Loss_D_fake -0.010631
[658/5000][320/535][67720] Loss_D: -0.025612 Loss_G: 0.010074 Loss_D_real: -0.021236 Loss_D_fake 0.004376
[658/5000][325/535][67721] Loss_D: -0.025933 Loss_G: 0.018485 Loss_D_real: -0.019030 Loss_D_fake 0.006903
[658/5000][330/535][67722] Loss_D: -0.024188 Loss_G: 0.021524 Loss_D_real: -0.027106 Loss_D_fake -0.002918
[658/5000][335/535][67723] Loss_D: -0.024404 Loss_G: 0.013855 Loss_D_real: -0.021934 Loss_D_fake 0.002469
[658/5000][340/535][67724] Loss_D: -0.024481 Loss_G: 0.008636 Loss_D_real: -0.020560 Loss_D_fake 0.003921
[658/5000][345/535][67725] Loss_D: -0.025954 Loss_G: -0.002838 Loss_D_real: -0.015798 Loss_D_fake 0.010156
[658/5000][350/535][67726] Loss_D: -0.023409 Loss_G: 0.014608 Loss_D_real: -0.024636 Loss_D_fake -0.001227
[658/5000][355/535][67727] Loss_D: -0.025652 Loss_G: 0.021517 Loss_D_real: -0.029762 Loss_D_fake -0.004110
[658/5000][360/535][67728] Loss_D: -0.024626 Loss_G: -0.003180 Loss_D_real: -0.009908 Loss_D_fake 0.014718
[658/5000][365/535][67729] Loss_D: -0.022872 Loss_G: -0.013255 Loss_D_real: -0.007209 Loss_D_fake 0.015663
[658/5000][370/535][67730] Loss_D: -0.024644 Loss_G: 0.015852 Loss_D_real: -0.010013 Loss_D_fake 0.014631
[658/5000][375/535][67731] Loss_D: -0.024858 Loss_G: -0.005263 Loss_D_real: 0.002062 Loss_D_fake 0.026919
[658/5000][380/535][67732] Loss_D: -0.022252 Loss_G: -0.007981 Loss_D_real: -0.003171 Loss_D_fake 0.019080
[658/5000][385/535][67733] Loss_D: -0.022587 Loss_G: -0.012605 Loss_D_real: -0.007316 Loss_D_fake 0.015271
[658/5000][390/535][67734] Loss_D: -0.024382 Loss_G: 0.030272 Loss_D_real: -0.022509 Loss_D_fake 0.001873
[658/5000][395/535][67735] Loss_D: -0.023639 Loss_G: 0.011536 Loss_D_real: -0.013215 Loss_D_fake 0.010424
[658/5000][400/535][67736] Loss_D: -0.024107 Loss_G: 0.004224 Loss_D_real: -0.018102 Loss_D_fake 0.006005
[658/5000][405/535][67737] Loss_D: -0.024307 Loss_G: 0.007982 Loss_D_real: -0.016448 Loss_D_fake 0.007859
[658/5000][410/535][67738] Loss_D: -0.024952 Loss_G: 0.014148 Loss_D_real: -0.015751 Loss_D_fake 0.009201
[658/5000][415/535][67739] Loss_D: -0.024119 Loss_G: 0.009047 Loss_D_real: -0.013289 Loss_D_fake 0.010830
[658/5000][420/535][67740] Loss_D: -0.024030 Loss_G: 0.020819 Loss_D_real: -0.020669 Loss_D_fake 0.003361
[658/5000][425/535][67741] Loss_D: -0.023547 Loss_G: -0.017385 Loss_D_real: -0.001234 Loss_D_fake 0.022313
[658/5000][430/535][67742] Loss_D: -0.022984 Loss_G: 0.020428 Loss_D_real: -0.022068 Loss_D_fake 0.000916
[658/5000][435/535][67743] Loss_D: -0.023779 Loss_G: 0.020457 Loss_D_real: -0.033241 Loss_D_fake -0.009462
[658/5000][440/535][67744] Loss_D: -0.025058 Loss_G: 0.004569 Loss_D_real: -0.017715 Loss_D_fake 0.007343
[658/5000][445/535][67745] Loss_D: -0.024594 Loss_G: 0.008939 Loss_D_real: -0.010520 Loss_D_fake 0.014074
[658/5000][450/535][67746] Loss_D: -0.023566 Loss_G: 0.025019 Loss_D_real: -0.036273 Loss_D_fake -0.012708
[658/5000][455/535][67747] Loss_D: -0.023770 Loss_G: 0.005411 Loss_D_real: -0.005784 Loss_D_fake 0.017986
[658/5000][460/535][67748] Loss_D: -0.023832 Loss_G: 0.016731 Loss_D_real: -0.021981 Loss_D_fake 0.001851
[658/5000][465/535][67749] Loss_D: -0.023800 Loss_G: -0.003159 Loss_D_real: -0.002676 Loss_D_fake 0.021124
[658/5000][470/535][67750] Loss_D: -0.022718 Loss_G: 0.005919 Loss_D_real: -0.009203 Loss_D_fake 0.013515
[658/5000][475/535][67751] Loss_D: -0.024439 Loss_G: 0.010521 Loss_D_real: -0.017040 Loss_D_fake 0.007400
[658/5000][480/535][67752] Loss_D: -0.024207 Loss_G: 0.037389 Loss_D_real: -0.022747 Loss_D_fake 0.001460
[658/5000][485/535][67753] Loss_D: -0.023932 Loss_G: 0.017959 Loss_D_real: -0.027024 Loss_D_fake -0.003092
[658/5000][490/535][67754] Loss_D: -0.025881 Loss_G: 0.018050 Loss_D_real: -0.010290 Loss_D_fake 0.015591
[658/5000][495/535][67755] Loss_D: -0.023679 Loss_G: 0.015878 Loss_D_real: -0.027613 Loss_D_fake -0.003934
[658/5000][500/535][67756] Loss_D: -0.024971 Loss_G: 0.022922 Loss_D_real: -0.022274 Loss_D_fake 0.002697
[658/5000][505/535][67757] Loss_D: -0.023597 Loss_G: 0.010403 Loss_D_real: -0.011340 Loss_D_fake 0.012257
[658/5000][510/535][67758] Loss_D: -0.024421 Loss_G: 0.017314 Loss_D_real: -0.011506 Loss_D_fake 0.012914
[658/5000][515/535][67759] Loss_D: -0.024196 Loss_G: 0.002990 Loss_D_real: -0.003942 Loss_D_fake 0.020254
[658/5000][520/535][67760] Loss_D: -0.024311 Loss_G: 0.027885 Loss_D_real: -0.033147 Loss_D_fake -0.008836
[658/5000][525/535][67761] Loss_D: -0.023726 Loss_G: 0.024144 Loss_D_real: -0.020693 Loss_D_fake 0.003033
[658/5000][530/535][67762] Loss_D: -0.024640 Loss_G: 0.005363 Loss_D_real: -0.006268 Loss_D_fake 0.018372
[658/5000][535/535][67763] Loss_D: -0.026263 Loss_G: 0.010757 Loss_D_real: -0.026300 Loss_D_fake -0.000037
[659/5000][5/535][67764] Loss_D: -0.024168 Loss_G: 0.031435 Loss_D_real: -0.027636 Loss_D_fake -0.003469
[659/5000][10/535][67765] Loss_D: -0.023042 Loss_G: -0.000568 Loss_D_real: -0.010690 Loss_D_fake 0.012353
[659/5000][15/535][67766] Loss_D: -0.024462 Loss_G: 0.036401 Loss_D_real: -0.023545 Loss_D_fake 0.000918
[659/5000][20/535][67767] Loss_D: -0.022649 Loss_G: -0.012242 Loss_D_real: 0.010198 Loss_D_fake 0.032846
[659/5000][25/535][67768] Loss_D: -0.023679 Loss_G: 0.022484 Loss_D_real: -0.030824 Loss_D_fake -0.007145
[659/5000][30/535][67769] Loss_D: -0.023963 Loss_G: 0.006428 Loss_D_real: -0.015408 Loss_D_fake 0.008555
[659/5000][35/535][67770] Loss_D: -0.024239 Loss_G: -0.007288 Loss_D_real: -0.006806 Loss_D_fake 0.017433
[659/5000][40/535][67771] Loss_D: -0.022891 Loss_G: 0.019326 Loss_D_real: -0.026645 Loss_D_fake -0.003753
[659/5000][45/535][67772] Loss_D: -0.025322 Loss_G: 0.005460 Loss_D_real: -0.006414 Loss_D_fake 0.018908
[659/5000][50/535][67773] Loss_D: -0.025079 Loss_G: 0.014239 Loss_D_real: -0.024262 Loss_D_fake 0.000817
[659/5000][55/535][67774] Loss_D: -0.025505 Loss_G: 0.003024 Loss_D_real: -0.011535 Loss_D_fake 0.013970
[659/5000][60/535][67775] Loss_D: -0.024891 Loss_G: 0.007411 Loss_D_real: -0.015717 Loss_D_fake 0.009174
[659/5000][65/535][67776] Loss_D: -0.023621 Loss_G: 0.031144 Loss_D_real: -0.029311 Loss_D_fake -0.005690
[659/5000][70/535][67777] Loss_D: -0.023956 Loss_G: 0.003316 Loss_D_real: -0.015148 Loss_D_fake 0.008807
[659/5000][75/535][67778] Loss_D: -0.023590 Loss_G: 0.022955 Loss_D_real: -0.026898 Loss_D_fake -0.003308
[659/5000][80/535][67779] Loss_D: -0.022872 Loss_G: 0.002905 Loss_D_real: -0.008009 Loss_D_fake 0.014863
[659/5000][85/535][67780] Loss_D: -0.023289 Loss_G: 0.019681 Loss_D_real: -0.022125 Loss_D_fake 0.001164
[659/5000][90/535][67781] Loss_D: -0.024226 Loss_G: 0.000874 Loss_D_real: -0.007985 Loss_D_fake 0.016241
[659/5000][95/535][67782] Loss_D: -0.023915 Loss_G: 0.018132 Loss_D_real: -0.014489 Loss_D_fake 0.009426
[659/5000][100/535][67783] Loss_D: -0.023498 Loss_G: 0.012861 Loss_D_real: -0.011609 Loss_D_fake 0.011889
[659/5000][105/535][67784] Loss_D: -0.024372 Loss_G: -0.010885 Loss_D_real: -0.003089 Loss_D_fake 0.021283
[659/5000][110/535][67785] Loss_D: -0.024288 Loss_G: 0.010878 Loss_D_real: -0.011299 Loss_D_fake 0.012989
[659/5000][115/535][67786] Loss_D: -0.023878 Loss_G: 0.023925 Loss_D_real: -0.023444 Loss_D_fake 0.000434
[659/5000][120/535][67787] Loss_D: -0.024843 Loss_G: -0.019388 Loss_D_real: -0.002050 Loss_D_fake 0.022793
[659/5000][125/535][67788] Loss_D: -0.023294 Loss_G: -0.000253 Loss_D_real: 0.002895 Loss_D_fake 0.026188
[659/5000][130/535][67789] Loss_D: -0.023816 Loss_G: 0.032887 Loss_D_real: -0.031814 Loss_D_fake -0.007998
[659/5000][135/535][67790] Loss_D: -0.024370 Loss_G: -0.000374 Loss_D_real: -0.009789 Loss_D_fake 0.014581
[659/5000][140/535][67791] Loss_D: -0.023959 Loss_G: 0.016934 Loss_D_real: -0.022771 Loss_D_fake 0.001188
[659/5000][145/535][67792] Loss_D: -0.023284 Loss_G: 0.037164 Loss_D_real: -0.029375 Loss_D_fake -0.006091
[659/5000][150/535][67793] Loss_D: -0.024968 Loss_G: -0.002116 Loss_D_real: -0.009931 Loss_D_fake 0.015037
[659/5000][155/535][67794] Loss_D: -0.023687 Loss_G: 0.021779 Loss_D_real: -0.023612 Loss_D_fake 0.000075
[659/5000][160/535][67795] Loss_D: -0.025817 Loss_G: 0.014271 Loss_D_real: -0.027495 Loss_D_fake -0.001679
[659/5000][165/535][67796] Loss_D: -0.023615 Loss_G: 0.017641 Loss_D_real: -0.019530 Loss_D_fake 0.004085
[659/5000][170/535][67797] Loss_D: -0.022716 Loss_G: -0.005349 Loss_D_real: 0.001280 Loss_D_fake 0.023996
[659/5000][175/535][67798] Loss_D: -0.023964 Loss_G: 0.009132 Loss_D_real: -0.010827 Loss_D_fake 0.013137
[659/5000][180/535][67799] Loss_D: -0.023930 Loss_G: 0.019591 Loss_D_real: -0.023259 Loss_D_fake 0.000671
[659/5000][185/535][67800] Loss_D: -0.025003 Loss_G: 0.000740 Loss_D_real: -0.008621 Loss_D_fake 0.016382
[659/5000][190/535][67801] Loss_D: -0.024168 Loss_G: 0.012613 Loss_D_real: -0.011623 Loss_D_fake 0.012545
[659/5000][195/535][67802] Loss_D: -0.024312 Loss_G: 0.023877 Loss_D_real: -0.017558 Loss_D_fake 0.006753
[659/5000][200/535][67803] Loss_D: -0.024644 Loss_G: 0.009595 Loss_D_real: -0.011012 Loss_D_fake 0.013632
[659/5000][205/535][67804] Loss_D: -0.022962 Loss_G: 0.010029 Loss_D_real: -0.003137 Loss_D_fake 0.019825
[659/5000][210/535][67805] Loss_D: -0.023565 Loss_G: 0.019709 Loss_D_real: -0.028987 Loss_D_fake -0.005421
[659/5000][215/535][67806] Loss_D: -0.024111 Loss_G: 0.019547 Loss_D_real: -0.019967 Loss_D_fake 0.004143
[659/5000][220/535][67807] Loss_D: -0.024254 Loss_G: 0.013377 Loss_D_real: -0.023300 Loss_D_fake 0.000954
[659/5000][225/535][67808] Loss_D: -0.024604 Loss_G: 0.008549 Loss_D_real: -0.014509 Loss_D_fake 0.010095
[659/5000][230/535][67809] Loss_D: -0.022936 Loss_G: 0.031961 Loss_D_real: -0.028818 Loss_D_fake -0.005882
[659/5000][235/535][67810] Loss_D: -0.024539 Loss_G: -0.003265 Loss_D_real: -0.002422 Loss_D_fake 0.022117
[659/5000][240/535][67811] Loss_D: -0.024756 Loss_G: 0.003765 Loss_D_real: -0.027781 Loss_D_fake -0.003025
[659/5000][245/535][67812] Loss_D: -0.024045 Loss_G: 0.007603 Loss_D_real: -0.015631 Loss_D_fake 0.008414
[659/5000][250/535][67813] Loss_D: -0.023683 Loss_G: 0.011342 Loss_D_real: -0.017808 Loss_D_fake 0.005875
[659/5000][255/535][67814] Loss_D: -0.024432 Loss_G: 0.012651 Loss_D_real: -0.013441 Loss_D_fake 0.010990
[659/5000][260/535][67815] Loss_D: -0.025749 Loss_G: 0.007088 Loss_D_real: -0.012514 Loss_D_fake 0.013235
[659/5000][265/535][67816] Loss_D: -0.024939 Loss_G: 0.020366 Loss_D_real: -0.027321 Loss_D_fake -0.002381
[659/5000][270/535][67817] Loss_D: -0.023672 Loss_G: 0.038952 Loss_D_real: -0.025194 Loss_D_fake -0.001521
[659/5000][275/535][67818] Loss_D: -0.023913 Loss_G: -0.007197 Loss_D_real: -0.017435 Loss_D_fake 0.006478
[659/5000][280/535][67819] Loss_D: -0.025515 Loss_G: 0.019730 Loss_D_real: -0.016186 Loss_D_fake 0.009330
[659/5000][285/535][67820] Loss_D: -0.023426 Loss_G: -0.009429 Loss_D_real: 0.002622 Loss_D_fake 0.026049
[659/5000][290/535][67821] Loss_D: -0.023561 Loss_G: 0.017738 Loss_D_real: -0.019305 Loss_D_fake 0.004256
[659/5000][295/535][67822] Loss_D: -0.023887 Loss_G: 0.020265 Loss_D_real: -0.019309 Loss_D_fake 0.004578
[659/5000][300/535][67823] Loss_D: -0.022339 Loss_G: 0.017305 Loss_D_real: -0.018368 Loss_D_fake 0.003971
[659/5000][305/535][67824] Loss_D: -0.024292 Loss_G: 0.009647 Loss_D_real: -0.001858 Loss_D_fake 0.022434
[659/5000][310/535][67825] Loss_D: -0.024287 Loss_G: -0.000425 Loss_D_real: -0.011662 Loss_D_fake 0.012625
[659/5000][315/535][67826] Loss_D: -0.025202 Loss_G: 0.014591 Loss_D_real: -0.014723 Loss_D_fake 0.010478
[659/5000][320/535][67827] Loss_D: -0.025282 Loss_G: 0.013954 Loss_D_real: -0.019693 Loss_D_fake 0.005589
[659/5000][325/535][67828] Loss_D: -0.024946 Loss_G: -0.000016 Loss_D_real: -0.012654 Loss_D_fake 0.012292
[659/5000][330/535][67829] Loss_D: -0.025289 Loss_G: 0.032068 Loss_D_real: -0.026405 Loss_D_fake -0.001117
[659/5000][335/535][67830] Loss_D: -0.024540 Loss_G: 0.012407 Loss_D_real: -0.019228 Loss_D_fake 0.005312
[659/5000][340/535][67831] Loss_D: -0.024514 Loss_G: 0.001224 Loss_D_real: -0.013335 Loss_D_fake 0.011178
[659/5000][345/535][67832] Loss_D: -0.024769 Loss_G: 0.008670 Loss_D_real: -0.015905 Loss_D_fake 0.008864
[659/5000][350/535][67833] Loss_D: -0.023594 Loss_G: 0.028696 Loss_D_real: -0.018802 Loss_D_fake 0.004792
[659/5000][355/535][67834] Loss_D: -0.026122 Loss_G: 0.027533 Loss_D_real: -0.030945 Loss_D_fake -0.004823
[659/5000][360/535][67835] Loss_D: -0.024857 Loss_G: 0.005260 Loss_D_real: -0.003808 Loss_D_fake 0.021050
[659/5000][365/535][67836] Loss_D: -0.024572 Loss_G: 0.014536 Loss_D_real: -0.033561 Loss_D_fake -0.008989
[659/5000][370/535][67837] Loss_D: -0.024650 Loss_G: 0.007663 Loss_D_real: -0.024718 Loss_D_fake -0.000068
[659/5000][375/535][67838] Loss_D: -0.024648 Loss_G: 0.030552 Loss_D_real: -0.025930 Loss_D_fake -0.001282
[659/5000][380/535][67839] Loss_D: -0.024485 Loss_G: 0.000528 Loss_D_real: -0.007455 Loss_D_fake 0.017029
[659/5000][385/535][67840] Loss_D: -0.024581 Loss_G: -0.001851 Loss_D_real: -0.002989 Loss_D_fake 0.021592
[659/5000][390/535][67841] Loss_D: -0.021704 Loss_G: 0.020064 Loss_D_real: -0.028337 Loss_D_fake -0.006633
[659/5000][395/535][67842] Loss_D: -0.024006 Loss_G: 0.011401 Loss_D_real: -0.012243 Loss_D_fake 0.011763
[659/5000][400/535][67843] Loss_D: -0.023456 Loss_G: 0.028349 Loss_D_real: -0.021091 Loss_D_fake 0.002366
[659/5000][405/535][67844] Loss_D: -0.024746 Loss_G: 0.016931 Loss_D_real: -0.013624 Loss_D_fake 0.011121
[659/5000][410/535][67845] Loss_D: -0.025440 Loss_G: 0.013924 Loss_D_real: -0.024050 Loss_D_fake 0.001390
[659/5000][415/535][67846] Loss_D: -0.025207 Loss_G: 0.024687 Loss_D_real: -0.020679 Loss_D_fake 0.004528
[659/5000][420/535][67847] Loss_D: -0.023591 Loss_G: -0.008206 Loss_D_real: -0.004581 Loss_D_fake 0.019010
[659/5000][425/535][67848] Loss_D: -0.023279 Loss_G: 0.023856 Loss_D_real: -0.020610 Loss_D_fake 0.002669
[659/5000][430/535][67849] Loss_D: -0.024793 Loss_G: 0.020195 Loss_D_real: -0.016034 Loss_D_fake 0.008760
[659/5000][435/535][67850] Loss_D: -0.022703 Loss_G: -0.001973 Loss_D_real: -0.009078 Loss_D_fake 0.013625
[659/5000][440/535][67851] Loss_D: -0.023237 Loss_G: 0.030424 Loss_D_real: -0.026198 Loss_D_fake -0.002961
[659/5000][445/535][67852] Loss_D: -0.023982 Loss_G: -0.001428 Loss_D_real: -0.005093 Loss_D_fake 0.018889
[659/5000][450/535][67853] Loss_D: -0.024660 Loss_G: 0.008924 Loss_D_real: -0.004615 Loss_D_fake 0.020045
[659/5000][455/535][67854] Loss_D: -0.024326 Loss_G: 0.035390 Loss_D_real: -0.033220 Loss_D_fake -0.008894
[659/5000][460/535][67855] Loss_D: -0.023242 Loss_G: 0.023455 Loss_D_real: -0.030251 Loss_D_fake -0.007010
[659/5000][465/535][67856] Loss_D: -0.023983 Loss_G: 0.013646 Loss_D_real: -0.024354 Loss_D_fake -0.000371
[659/5000][470/535][67857] Loss_D: -0.025258 Loss_G: 0.019808 Loss_D_real: -0.021080 Loss_D_fake 0.004178
[659/5000][475/535][67858] Loss_D: -0.023388 Loss_G: 0.016562 Loss_D_real: -0.019137 Loss_D_fake 0.004250
[659/5000][480/535][67859] Loss_D: -0.024841 Loss_G: 0.016930 Loss_D_real: -0.022972 Loss_D_fake 0.001869
[659/5000][485/535][67860] Loss_D: -0.023845 Loss_G: 0.006519 Loss_D_real: -0.015696 Loss_D_fake 0.008149
[659/5000][490/535][67861] Loss_D: -0.023653 Loss_G: 0.006222 Loss_D_real: -0.013133 Loss_D_fake 0.010521
[659/5000][495/535][67862] Loss_D: -0.024118 Loss_G: 0.010523 Loss_D_real: -0.018847 Loss_D_fake 0.005270
[659/5000][500/535][67863] Loss_D: -0.024719 Loss_G: 0.008301 Loss_D_real: 0.000538 Loss_D_fake 0.025257
[659/5000][505/535][67864] Loss_D: -0.023938 Loss_G: 0.003688 Loss_D_real: -0.012080 Loss_D_fake 0.011858
[659/5000][510/535][67865] Loss_D: -0.023917 Loss_G: 0.021755 Loss_D_real: -0.018100 Loss_D_fake 0.005817
[659/5000][515/535][67866] Loss_D: -0.024845 Loss_G: 0.032121 Loss_D_real: -0.029697 Loss_D_fake -0.004852
[659/5000][520/535][67867] Loss_D: -0.024365 Loss_G: -0.001638 Loss_D_real: -0.007771 Loss_D_fake 0.016595
[659/5000][525/535][67868] Loss_D: -0.024631 Loss_G: 0.005888 Loss_D_real: -0.001409 Loss_D_fake 0.023222
[659/5000][530/535][67869] Loss_D: -0.024066 Loss_G: 0.002183 Loss_D_real: -0.003732 Loss_D_fake 0.020334
[659/5000][535/535][67870] Loss_D: -0.022422 Loss_G: 0.037208 Loss_D_real: -0.018487 Loss_D_fake 0.003935
[660/5000][5/535][67871] Loss_D: -0.025171 Loss_G: 0.013617 Loss_D_real: -0.015926 Loss_D_fake 0.009245
[660/5000][10/535][67872] Loss_D: -0.023242 Loss_G: 0.008934 Loss_D_real: -0.008967 Loss_D_fake 0.014275
[660/5000][15/535][67873] Loss_D: -0.024780 Loss_G: 0.005891 Loss_D_real: -0.021554 Loss_D_fake 0.003226
[660/5000][20/535][67874] Loss_D: -0.024193 Loss_G: 0.009763 Loss_D_real: -0.015447 Loss_D_fake 0.008746
[660/5000][25/535][67875] Loss_D: -0.024256 Loss_G: -0.013223 Loss_D_real: -0.004742 Loss_D_fake 0.019514
[660/5000][30/535][67876] Loss_D: -0.025772 Loss_G: 0.007152 Loss_D_real: -0.021854 Loss_D_fake 0.003919
[660/5000][35/535][67877] Loss_D: -0.024188 Loss_G: 0.016007 Loss_D_real: -0.023169 Loss_D_fake 0.001019
[660/5000][40/535][67878] Loss_D: -0.025405 Loss_G: 0.005255 Loss_D_real: -0.007734 Loss_D_fake 0.017672
[660/5000][45/535][67879] Loss_D: -0.024261 Loss_G: 0.003256 Loss_D_real: -0.009557 Loss_D_fake 0.014704
[660/5000][50/535][67880] Loss_D: -0.024210 Loss_G: 0.013430 Loss_D_real: -0.021315 Loss_D_fake 0.002895
[660/5000][55/535][67881] Loss_D: -0.025489 Loss_G: 0.030419 Loss_D_real: -0.028546 Loss_D_fake -0.003057
[660/5000][60/535][67882] Loss_D: -0.024047 Loss_G: 0.002785 Loss_D_real: -0.008916 Loss_D_fake 0.015131
[660/5000][65/535][67883] Loss_D: -0.024141 Loss_G: -0.006566 Loss_D_real: -0.004557 Loss_D_fake 0.019584
[660/5000][70/535][67884] Loss_D: -0.023484 Loss_G: 0.028433 Loss_D_real: -0.021113 Loss_D_fake 0.002371
[660/5000][75/535][67885] Loss_D: -0.023839 Loss_G: 0.012470 Loss_D_real: -0.015748 Loss_D_fake 0.008091
[660/5000][80/535][67886] Loss_D: -0.024440 Loss_G: 0.013426 Loss_D_real: -0.012161 Loss_D_fake 0.012279
[660/5000][85/535][67887] Loss_D: -0.024803 Loss_G: 0.013884 Loss_D_real: -0.017126 Loss_D_fake 0.007677
[660/5000][90/535][67888] Loss_D: -0.024579 Loss_G: 0.013007 Loss_D_real: -0.026595 Loss_D_fake -0.002016
[660/5000][95/535][67889] Loss_D: -0.024032 Loss_G: -0.016721 Loss_D_real: -0.000165 Loss_D_fake 0.023867
[660/5000][100/535][67890] Loss_D: -0.024329 Loss_G: 0.022918 Loss_D_real: -0.029293 Loss_D_fake -0.004963
[660/5000][105/535][67891] Loss_D: -0.023822 Loss_G: 0.017508 Loss_D_real: -0.007831 Loss_D_fake 0.015991
[660/5000][110/535][67892] Loss_D: -0.025072 Loss_G: 0.002074 Loss_D_real: -0.009636 Loss_D_fake 0.015436
[660/5000][115/535][67893] Loss_D: -0.022852 Loss_G: -0.005514 Loss_D_real: -0.000948 Loss_D_fake 0.021904
[660/5000][120/535][67894] Loss_D: -0.024435 Loss_G: 0.031479 Loss_D_real: -0.025912 Loss_D_fake -0.001477
[660/5000][125/535][67895] Loss_D: -0.022814 Loss_G: 0.006550 Loss_D_real: -0.006443 Loss_D_fake 0.016371
[660/5000][130/535][67896] Loss_D: -0.025634 Loss_G: 0.014839 Loss_D_real: -0.014294 Loss_D_fake 0.011340
[660/5000][135/535][67897] Loss_D: -0.024084 Loss_G: 0.026035 Loss_D_real: -0.033986 Loss_D_fake -0.009902
[660/5000][140/535][67898] Loss_D: -0.024557 Loss_G: 0.029073 Loss_D_real: -0.024635 Loss_D_fake -0.000078
[660/5000][145/535][67899] Loss_D: -0.023526 Loss_G: 0.003941 Loss_D_real: -0.001499 Loss_D_fake 0.022027
[660/5000][150/535][67900] Loss_D: -0.025432 Loss_G: 0.002548 Loss_D_real: -0.025295 Loss_D_fake 0.000136
[660/5000][155/535][67901] Loss_D: -0.024148 Loss_G: -0.012467 Loss_D_real: -0.015234 Loss_D_fake 0.008914
[660/5000][160/535][67902] Loss_D: -0.023966 Loss_G: 0.018776 Loss_D_real: -0.031843 Loss_D_fake -0.007877
[660/5000][165/535][67903] Loss_D: -0.024637 Loss_G: 0.012475 Loss_D_real: -0.013442 Loss_D_fake 0.011196
[660/5000][170/535][67904] Loss_D: -0.024402 Loss_G: 0.017767 Loss_D_real: -0.023147 Loss_D_fake 0.001255
[660/5000][175/535][67905] Loss_D: -0.025298 Loss_G: 0.017556 Loss_D_real: -0.027265 Loss_D_fake -0.001967
[660/5000][180/535][67906] Loss_D: -0.025267 Loss_G: -0.001638 Loss_D_real: -0.011357 Loss_D_fake 0.013910
[660/5000][185/535][67907] Loss_D: -0.025212 Loss_G: 0.000491 Loss_D_real: 0.003251 Loss_D_fake 0.028463
[660/5000][190/535][67908] Loss_D: -0.025069 Loss_G: 0.019195 Loss_D_real: -0.017479 Loss_D_fake 0.007590
[660/5000][195/535][67909] Loss_D: -0.024139 Loss_G: 0.009720 Loss_D_real: -0.015429 Loss_D_fake 0.008710
[660/5000][200/535][67910] Loss_D: -0.024103 Loss_G: 0.006422 Loss_D_real: 0.001299 Loss_D_fake 0.025402
[660/5000][205/535][67911] Loss_D: -0.025255 Loss_G: 0.004036 Loss_D_real: -0.004326 Loss_D_fake 0.020928
[660/5000][210/535][67912] Loss_D: -0.024359 Loss_G: 0.010975 Loss_D_real: -0.016332 Loss_D_fake 0.008027
[660/5000][215/535][67913] Loss_D: -0.026343 Loss_G: 0.009806 Loss_D_real: -0.016454 Loss_D_fake 0.009889
[660/5000][220/535][67914] Loss_D: -0.024847 Loss_G: 0.017357 Loss_D_real: -0.019640 Loss_D_fake 0.005207
[660/5000][225/535][67915] Loss_D: -0.024584 Loss_G: -0.003764 Loss_D_real: -0.004952 Loss_D_fake 0.019632
[660/5000][230/535][67916] Loss_D: -0.024803 Loss_G: 0.022447 Loss_D_real: -0.022502 Loss_D_fake 0.002301
[660/5000][235/535][67917] Loss_D: -0.024925 Loss_G: 0.009337 Loss_D_real: -0.011846 Loss_D_fake 0.013079
[660/5000][240/535][67918] Loss_D: -0.025515 Loss_G: 0.012809 Loss_D_real: -0.014392 Loss_D_fake 0.011123
[660/5000][245/535][67919] Loss_D: -0.024238 Loss_G: 0.021855 Loss_D_real: -0.024631 Loss_D_fake -0.000392
[660/5000][250/535][67920] Loss_D: -0.025165 Loss_G: 0.010139 Loss_D_real: -0.016187 Loss_D_fake 0.008979
[660/5000][255/535][67921] Loss_D: -0.024075 Loss_G: 0.014952 Loss_D_real: -0.016969 Loss_D_fake 0.007106
[660/5000][260/535][67922] Loss_D: -0.024805 Loss_G: 0.000876 Loss_D_real: -0.006506 Loss_D_fake 0.018299
[660/5000][265/535][67923] Loss_D: -0.023754 Loss_G: 0.031337 Loss_D_real: -0.039334 Loss_D_fake -0.015579
[660/5000][270/535][67924] Loss_D: -0.024187 Loss_G: 0.005282 Loss_D_real: -0.012903 Loss_D_fake 0.011284
[660/5000][275/535][67925] Loss_D: -0.024221 Loss_G: 0.008471 Loss_D_real: -0.018443 Loss_D_fake 0.005778
[660/5000][280/535][67926] Loss_D: -0.024842 Loss_G: 0.015247 Loss_D_real: -0.016216 Loss_D_fake 0.008626
[660/5000][285/535][67927] Loss_D: -0.024555 Loss_G: -0.006448 Loss_D_real: -0.007965 Loss_D_fake 0.016590
[660/5000][290/535][67928] Loss_D: -0.024349 Loss_G: 0.027760 Loss_D_real: -0.023903 Loss_D_fake 0.000446
[660/5000][295/535][67929] Loss_D: -0.022150 Loss_G: -0.014156 Loss_D_real: 0.002673 Loss_D_fake 0.024823
[660/5000][300/535][67930] Loss_D: -0.024415 Loss_G: 0.024171 Loss_D_real: -0.023924 Loss_D_fake 0.000491
[660/5000][305/535][67931] Loss_D: -0.022729 Loss_G: 0.000518 Loss_D_real: -0.006665 Loss_D_fake 0.016064
[660/5000][310/535][67932] Loss_D: -0.022731 Loss_G: 0.008471 Loss_D_real: -0.023981 Loss_D_fake -0.001249
[660/5000][315/535][67933] Loss_D: -0.023332 Loss_G: 0.022009 Loss_D_real: -0.018754 Loss_D_fake 0.004578
[660/5000][320/535][67934] Loss_D: -0.024702 Loss_G: 0.011253 Loss_D_real: -0.014286 Loss_D_fake 0.010416
[660/5000][325/535][67935] Loss_D: -0.024211 Loss_G: 0.008378 Loss_D_real: -0.011778 Loss_D_fake 0.012433
[660/5000][330/535][67936] Loss_D: -0.023714 Loss_G: 0.028954 Loss_D_real: -0.029385 Loss_D_fake -0.005671
[660/5000][335/535][67937] Loss_D: -0.024487 Loss_G: 0.027752 Loss_D_real: -0.028508 Loss_D_fake -0.004021
[660/5000][340/535][67938] Loss_D: -0.025116 Loss_G: -0.001862 Loss_D_real: -0.014755 Loss_D_fake 0.010361
[660/5000][345/535][67939] Loss_D: -0.024902 Loss_G: 0.017798 Loss_D_real: -0.024123 Loss_D_fake 0.000779
[660/5000][350/535][67940] Loss_D: -0.024931 Loss_G: 0.032695 Loss_D_real: -0.034441 Loss_D_fake -0.009510
[660/5000][355/535][67941] Loss_D: -0.024140 Loss_G: 0.011349 Loss_D_real: -0.023679 Loss_D_fake 0.000461
[660/5000][360/535][67942] Loss_D: -0.024579 Loss_G: 0.019519 Loss_D_real: -0.018962 Loss_D_fake 0.005617
[660/5000][365/535][67943] Loss_D: -0.023501 Loss_G: 0.000908 Loss_D_real: -0.012078 Loss_D_fake 0.011424
[660/5000][370/535][67944] Loss_D: -0.024379 Loss_G: 0.012216 Loss_D_real: -0.025595 Loss_D_fake -0.001216
[660/5000][375/535][67945] Loss_D: -0.023587 Loss_G: -0.001233 Loss_D_real: -0.001695 Loss_D_fake 0.021892
[660/5000][380/535][67946] Loss_D: -0.024798 Loss_G: 0.031855 Loss_D_real: -0.023462 Loss_D_fake 0.001336
[660/5000][385/535][67947] Loss_D: -0.023558 Loss_G: 0.007269 Loss_D_real: 0.000746 Loss_D_fake 0.024304
[660/5000][390/535][67948] Loss_D: -0.024797 Loss_G: -0.000660 Loss_D_real: -0.013112 Loss_D_fake 0.011685
[660/5000][395/535][67949] Loss_D: -0.023295 Loss_G: 0.033552 Loss_D_real: -0.029681 Loss_D_fake -0.006386
[660/5000][400/535][67950] Loss_D: -0.025200 Loss_G: 0.008957 Loss_D_real: -0.012643 Loss_D_fake 0.012557
[660/5000][405/535][67951] Loss_D: -0.025035 Loss_G: -0.003327 Loss_D_real: -0.018231 Loss_D_fake 0.006804
[660/5000][410/535][67952] Loss_D: -0.025308 Loss_G: 0.010656 Loss_D_real: -0.013450 Loss_D_fake 0.011858
[660/5000][415/535][67953] Loss_D: -0.024786 Loss_G: 0.007857 Loss_D_real: -0.014644 Loss_D_fake 0.010142
[660/5000][420/535][67954] Loss_D: -0.024393 Loss_G: 0.011537 Loss_D_real: -0.016912 Loss_D_fake 0.007481
[660/5000][425/535][67955] Loss_D: -0.024795 Loss_G: 0.010399 Loss_D_real: -0.020001 Loss_D_fake 0.004793
[660/5000][430/535][67956] Loss_D: -0.023663 Loss_G: -0.005351 Loss_D_real: -0.015910 Loss_D_fake 0.007752
[660/5000][435/535][67957] Loss_D: -0.022712 Loss_G: 0.005562 Loss_D_real: -0.003996 Loss_D_fake 0.018716
[660/5000][440/535][67958] Loss_D: -0.022954 Loss_G: 0.026648 Loss_D_real: -0.026461 Loss_D_fake -0.003507
[660/5000][445/535][67959] Loss_D: -0.023995 Loss_G: 0.016486 Loss_D_real: -0.015908 Loss_D_fake 0.008087
[660/5000][450/535][67960] Loss_D: -0.023612 Loss_G: -0.001507 Loss_D_real: -0.009462 Loss_D_fake 0.014150
[660/5000][455/535][67961] Loss_D: -0.024302 Loss_G: 0.022002 Loss_D_real: -0.027317 Loss_D_fake -0.003015
[660/5000][460/535][67962] Loss_D: -0.022642 Loss_G: -0.009732 Loss_D_real: 0.003875 Loss_D_fake 0.026516
[660/5000][465/535][67963] Loss_D: -0.026177 Loss_G: 0.013777 Loss_D_real: -0.010990 Loss_D_fake 0.015187
[660/5000][470/535][67964] Loss_D: -0.022161 Loss_G: 0.016362 Loss_D_real: -0.019634 Loss_D_fake 0.002528
[660/5000][475/535][67965] Loss_D: -0.025369 Loss_G: -0.000556 Loss_D_real: -0.015749 Loss_D_fake 0.009620
[660/5000][480/535][67966] Loss_D: -0.026048 Loss_G: -0.001826 Loss_D_real: -0.008732 Loss_D_fake 0.017316
[660/5000][485/535][67967] Loss_D: -0.024201 Loss_G: 0.023118 Loss_D_real: -0.023331 Loss_D_fake 0.000870
[660/5000][490/535][67968] Loss_D: -0.024239 Loss_G: 0.006219 Loss_D_real: -0.004893 Loss_D_fake 0.019345
[660/5000][495/535][67969] Loss_D: -0.026226 Loss_G: -0.001579 Loss_D_real: -0.009381 Loss_D_fake 0.016845
[660/5000][500/535][67970] Loss_D: -0.023890 Loss_G: 0.002465 Loss_D_real: -0.013264 Loss_D_fake 0.010626
[660/5000][505/535][67971] Loss_D: -0.022944 Loss_G: 0.010191 Loss_D_real: -0.017798 Loss_D_fake 0.005146
[660/5000][510/535][67972] Loss_D: -0.023392 Loss_G: 0.000229 Loss_D_real: 0.003170 Loss_D_fake 0.026562
[660/5000][515/535][67973] Loss_D: -0.023538 Loss_G: 0.013708 Loss_D_real: -0.020793 Loss_D_fake 0.002744
[660/5000][520/535][67974] Loss_D: -0.024157 Loss_G: 0.025513 Loss_D_real: -0.025599 Loss_D_fake -0.001442
[660/5000][525/535][67975] Loss_D: -0.024729 Loss_G: 0.004265 Loss_D_real: -0.009075 Loss_D_fake 0.015654
[660/5000][530/535][67976] Loss_D: -0.025860 Loss_G: 0.009840 Loss_D_real: -0.008698 Loss_D_fake 0.017162
[660/5000][535/535][67977] Loss_D: -0.023997 Loss_G: 0.035998 Loss_D_real: -0.018283 Loss_D_fake 0.005715
[661/5000][5/535][67978] Loss_D: -0.024856 Loss_G: 0.005489 Loss_D_real: -0.007048 Loss_D_fake 0.017809
[661/5000][10/535][67979] Loss_D: -0.024243 Loss_G: 0.030555 Loss_D_real: -0.017876 Loss_D_fake 0.006367
[661/5000][15/535][67980] Loss_D: -0.024405 Loss_G: 0.011208 Loss_D_real: -0.012510 Loss_D_fake 0.011895
[661/5000][20/535][67981] Loss_D: -0.024082 Loss_G: 0.006235 Loss_D_real: -0.008993 Loss_D_fake 0.015089
[661/5000][25/535][67982] Loss_D: -0.023441 Loss_G: 0.025845 Loss_D_real: -0.025183 Loss_D_fake -0.001741
[661/5000][30/535][67983] Loss_D: -0.025509 Loss_G: 0.028689 Loss_D_real: -0.033240 Loss_D_fake -0.007731
[661/5000][35/535][67984] Loss_D: -0.025319 Loss_G: -0.005481 Loss_D_real: -0.015238 Loss_D_fake 0.010081
[661/5000][40/535][67985] Loss_D: -0.023490 Loss_G: 0.021650 Loss_D_real: -0.030442 Loss_D_fake -0.006951
[661/5000][45/535][67986] Loss_D: -0.023385 Loss_G: 0.018720 Loss_D_real: -0.024011 Loss_D_fake -0.000625
[661/5000][50/535][67987] Loss_D: -0.021130 Loss_G: 0.039867 Loss_D_real: -0.034604 Loss_D_fake -0.013474
[661/5000][55/535][67988] Loss_D: -0.024261 Loss_G: 0.013101 Loss_D_real: -0.013515 Loss_D_fake 0.010746
[661/5000][60/535][67989] Loss_D: -0.024600 Loss_G: 0.000622 Loss_D_real: -0.009248 Loss_D_fake 0.015352
[661/5000][65/535][67990] Loss_D: -0.024666 Loss_G: 0.021019 Loss_D_real: -0.028874 Loss_D_fake -0.004208
[661/5000][70/535][67991] Loss_D: -0.024690 Loss_G: 0.016304 Loss_D_real: -0.030558 Loss_D_fake -0.005868
[661/5000][75/535][67992] Loss_D: -0.024976 Loss_G: 0.001809 Loss_D_real: -0.011620 Loss_D_fake 0.013356
[661/5000][80/535][67993] Loss_D: -0.023230 Loss_G: 0.022386 Loss_D_real: -0.024841 Loss_D_fake -0.001611
[661/5000][85/535][67994] Loss_D: -0.023090 Loss_G: 0.032088 Loss_D_real: -0.025704 Loss_D_fake -0.002614
[661/5000][90/535][67995] Loss_D: -0.025203 Loss_G: 0.015161 Loss_D_real: -0.017397 Loss_D_fake 0.007805
[661/5000][95/535][67996] Loss_D: -0.023993 Loss_G: 0.010009 Loss_D_real: -0.016453 Loss_D_fake 0.007541
[661/5000][100/535][67997] Loss_D: -0.024268 Loss_G: 0.003346 Loss_D_real: -0.019103 Loss_D_fake 0.005165
[661/5000][105/535][67998] Loss_D: -0.024795 Loss_G: 0.002850 Loss_D_real: -0.010944 Loss_D_fake 0.013851
[661/5000][110/535][67999] Loss_D: -0.024922 Loss_G: 0.017190 Loss_D_real: -0.021890 Loss_D_fake 0.003033
[661/5000][115/535][68000] Loss_D: -0.023966 Loss_G: 0.006147 Loss_D_real: -0.017740 Loss_D_fake 0.006225
[661/5000][215/535][68001] Loss_D: -0.025548 Loss_G: -0.026957 Loss_D_real: 0.006078 Loss_D_fake 0.031626
[661/5000][220/535][68002] Loss_D: -0.023923 Loss_G: 0.006207 Loss_D_real: -0.002891 Loss_D_fake 0.021032
[661/5000][225/535][68003] Loss_D: -0.022236 Loss_G: 0.013018 Loss_D_real: -0.015631 Loss_D_fake 0.006605
[661/5000][230/535][68004] Loss_D: -0.023493 Loss_G: 0.001077 Loss_D_real: -0.015634 Loss_D_fake 0.007858
[661/5000][235/535][68005] Loss_D: -0.024264 Loss_G: 0.000049 Loss_D_real: -0.004778 Loss_D_fake 0.019485
[661/5000][240/535][68006] Loss_D: -0.022058 Loss_G: 0.005877 Loss_D_real: -0.015025 Loss_D_fake 0.007033
[661/5000][245/535][68007] Loss_D: -0.023582 Loss_G: 0.026247 Loss_D_real: -0.035305 Loss_D_fake -0.011724
[661/5000][250/535][68008] Loss_D: -0.023616 Loss_G: -0.010353 Loss_D_real: -0.005055 Loss_D_fake 0.018560
[661/5000][255/535][68009] Loss_D: -0.025079 Loss_G: 0.018459 Loss_D_real: -0.015371 Loss_D_fake 0.009709
[661/5000][260/535][68010] Loss_D: -0.023363 Loss_G: 0.008220 Loss_D_real: -0.017171 Loss_D_fake 0.006193
[661/5000][265/535][68011] Loss_D: -0.022865 Loss_G: 0.002537 Loss_D_real: -0.010558 Loss_D_fake 0.012307
[661/5000][270/535][68012] Loss_D: -0.021985 Loss_G: -0.001799 Loss_D_real: -0.004879 Loss_D_fake 0.017106
[661/5000][275/535][68013] Loss_D: -0.023261 Loss_G: 0.002620 Loss_D_real: -0.017113 Loss_D_fake 0.006147
[661/5000][280/535][68014] Loss_D: -0.021883 Loss_G: 0.020195 Loss_D_real: -0.019783 Loss_D_fake 0.002101
[661/5000][285/535][68015] Loss_D: -0.025036 Loss_G: 0.012729 Loss_D_real: -0.015926 Loss_D_fake 0.009110
[661/5000][290/535][68016] Loss_D: -0.024577 Loss_G: 0.000420 Loss_D_real: -0.000926 Loss_D_fake 0.023651
[661/5000][295/535][68017] Loss_D: -0.022002 Loss_G: 0.016830 Loss_D_real: -0.013048 Loss_D_fake 0.008954
[661/5000][300/535][68018] Loss_D: -0.024762 Loss_G: 0.021810 Loss_D_real: -0.021677 Loss_D_fake 0.003085
[661/5000][305/535][68019] Loss_D: -0.022712 Loss_G: 0.025578 Loss_D_real: -0.034075 Loss_D_fake -0.011363
[661/5000][310/535][68020] Loss_D: -0.025016 Loss_G: 0.015876 Loss_D_real: -0.014998 Loss_D_fake 0.010018
[661/5000][315/535][68021] Loss_D: -0.023890 Loss_G: -0.010504 Loss_D_real: 0.001938 Loss_D_fake 0.025828
[661/5000][320/535][68022] Loss_D: -0.023235 Loss_G: -0.006055 Loss_D_real: -0.013009 Loss_D_fake 0.010226
[661/5000][325/535][68023] Loss_D: -0.025103 Loss_G: 0.020482 Loss_D_real: -0.023269 Loss_D_fake 0.001834
[661/5000][330/535][68024] Loss_D: -0.024608 Loss_G: 0.009560 Loss_D_real: -0.014389 Loss_D_fake 0.010218
[661/5000][335/535][68025] Loss_D: -0.024624 Loss_G: -0.005822 Loss_D_real: -0.007000 Loss_D_fake 0.017625
[661/5000][340/535][68026] Loss_D: -0.024835 Loss_G: 0.025014 Loss_D_real: -0.022595 Loss_D_fake 0.002240
[661/5000][345/535][68027] Loss_D: -0.024559 Loss_G: 0.011980 Loss_D_real: -0.015152 Loss_D_fake 0.009407
[661/5000][350/535][68028] Loss_D: -0.025300 Loss_G: 0.013264 Loss_D_real: -0.014303 Loss_D_fake 0.010997
[661/5000][355/535][68029] Loss_D: -0.022551 Loss_G: 0.029861 Loss_D_real: -0.027862 Loss_D_fake -0.005312
[661/5000][360/535][68030] Loss_D: -0.024226 Loss_G: 0.019883 Loss_D_real: -0.016281 Loss_D_fake 0.007945
[661/5000][365/535][68031] Loss_D: -0.025051 Loss_G: 0.010992 Loss_D_real: -0.016323 Loss_D_fake 0.008728
[661/5000][370/535][68032] Loss_D: -0.024986 Loss_G: 0.003435 Loss_D_real: -0.015013 Loss_D_fake 0.009974
[661/5000][375/535][68033] Loss_D: -0.023524 Loss_G: -0.002681 Loss_D_real: -0.019664 Loss_D_fake 0.003861
[661/5000][380/535][68034] Loss_D: -0.024160 Loss_G: 0.027722 Loss_D_real: -0.028022 Loss_D_fake -0.003862
[661/5000][385/535][68035] Loss_D: -0.025089 Loss_G: 0.014528 Loss_D_real: -0.009776 Loss_D_fake 0.015313
[661/5000][390/535][68036] Loss_D: -0.024046 Loss_G: 0.025345 Loss_D_real: -0.026923 Loss_D_fake -0.002876
[661/5000][395/535][68037] Loss_D: -0.025327 Loss_G: 0.016011 Loss_D_real: -0.025480 Loss_D_fake -0.000153
[661/5000][400/535][68038] Loss_D: -0.025623 Loss_G: 0.033367 Loss_D_real: -0.028652 Loss_D_fake -0.003029
[661/5000][405/535][68039] Loss_D: -0.025320 Loss_G: -0.007063 Loss_D_real: -0.013841 Loss_D_fake 0.011479
[661/5000][410/535][68040] Loss_D: -0.023673 Loss_G: 0.024456 Loss_D_real: -0.019696 Loss_D_fake 0.003977
[661/5000][415/535][68041] Loss_D: -0.022861 Loss_G: -0.009199 Loss_D_real: 0.003706 Loss_D_fake 0.026567
[661/5000][420/535][68042] Loss_D: -0.023307 Loss_G: 0.003532 Loss_D_real: -0.009081 Loss_D_fake 0.014226
[661/5000][425/535][68043] Loss_D: -0.023654 Loss_G: 0.023009 Loss_D_real: -0.027004 Loss_D_fake -0.003351
[661/5000][430/535][68044] Loss_D: -0.024858 Loss_G: 0.003743 Loss_D_real: -0.011004 Loss_D_fake 0.013854
[661/5000][435/535][68045] Loss_D: -0.024787 Loss_G: 0.032504 Loss_D_real: -0.020700 Loss_D_fake 0.004087
[661/5000][440/535][68046] Loss_D: -0.025366 Loss_G: 0.011912 Loss_D_real: -0.019912 Loss_D_fake 0.005454
[661/5000][445/535][68047] Loss_D: -0.023146 Loss_G: 0.035287 Loss_D_real: -0.025229 Loss_D_fake -0.002083
[661/5000][450/535][68048] Loss_D: -0.024113 Loss_G: 0.019378 Loss_D_real: -0.019670 Loss_D_fake 0.004443
[661/5000][455/535][68049] Loss_D: -0.023718 Loss_G: 0.023781 Loss_D_real: -0.032457 Loss_D_fake -0.008738
[661/5000][460/535][68050] Loss_D: -0.024687 Loss_G: 0.004232 Loss_D_real: -0.006053 Loss_D_fake 0.018634
[661/5000][465/535][68051] Loss_D: -0.023646 Loss_G: 0.014498 Loss_D_real: -0.023385 Loss_D_fake 0.000262
[661/5000][470/535][68052] Loss_D: -0.023831 Loss_G: 0.037405 Loss_D_real: -0.036490 Loss_D_fake -0.012660
[661/5000][475/535][68053] Loss_D: -0.023215 Loss_G: 0.028140 Loss_D_real: -0.029739 Loss_D_fake -0.006525
[661/5000][480/535][68054] Loss_D: -0.025158 Loss_G: 0.019967 Loss_D_real: -0.023681 Loss_D_fake 0.001477
[661/5000][485/535][68055] Loss_D: -0.025490 Loss_G: 0.007244 Loss_D_real: -0.019492 Loss_D_fake 0.005997
[661/5000][490/535][68056] Loss_D: -0.025166 Loss_G: 0.015479 Loss_D_real: -0.016603 Loss_D_fake 0.008563
[661/5000][495/535][68057] Loss_D: -0.023547 Loss_G: -0.005385 Loss_D_real: 0.005953 Loss_D_fake 0.029500
[661/5000][500/535][68058] Loss_D: -0.024371 Loss_G: 0.011719 Loss_D_real: -0.014247 Loss_D_fake 0.010124
[661/5000][505/535][68059] Loss_D: -0.023984 Loss_G: 0.017406 Loss_D_real: -0.023435 Loss_D_fake 0.000550
[661/5000][510/535][68060] Loss_D: -0.024058 Loss_G: 0.014595 Loss_D_real: -0.008317 Loss_D_fake 0.015740
[661/5000][515/535][68061] Loss_D: -0.023434 Loss_G: -0.000527 Loss_D_real: -0.019010 Loss_D_fake 0.004424
[661/5000][520/535][68062] Loss_D: -0.024123 Loss_G: 0.019936 Loss_D_real: -0.018214 Loss_D_fake 0.005909
[661/5000][525/535][68063] Loss_D: -0.022965 Loss_G: 0.028809 Loss_D_real: -0.026458 Loss_D_fake -0.003494
[661/5000][530/535][68064] Loss_D: -0.023841 Loss_G: 0.025671 Loss_D_real: -0.021820 Loss_D_fake 0.002021
[661/5000][535/535][68065] Loss_D: -0.024092 Loss_G: -0.016768 Loss_D_real: 0.002334 Loss_D_fake 0.026426
[662/5000][5/535][68066] Loss_D: -0.023912 Loss_G: 0.023126 Loss_D_real: -0.020490 Loss_D_fake 0.003422
[662/5000][10/535][68067] Loss_D: -0.023518 Loss_G: 0.010984 Loss_D_real: -0.014110 Loss_D_fake 0.009408
[662/5000][15/535][68068] Loss_D: -0.024129 Loss_G: 0.007380 Loss_D_real: -0.018145 Loss_D_fake 0.005984
[662/5000][20/535][68069] Loss_D: -0.024090 Loss_G: 0.014687 Loss_D_real: -0.022331 Loss_D_fake 0.001759
[662/5000][25/535][68070] Loss_D: -0.024310 Loss_G: 0.007023 Loss_D_real: -0.011574 Loss_D_fake 0.012736
[662/5000][30/535][68071] Loss_D: -0.024018 Loss_G: 0.003324 Loss_D_real: -0.010646 Loss_D_fake 0.013372
[662/5000][35/535][68072] Loss_D: -0.023805 Loss_G: 0.012062 Loss_D_real: -0.016761 Loss_D_fake 0.007044
[662/5000][40/535][68073] Loss_D: -0.024035 Loss_G: 0.005029 Loss_D_real: -0.006117 Loss_D_fake 0.017919
[662/5000][45/535][68074] Loss_D: -0.024428 Loss_G: 0.007551 Loss_D_real: -0.007469 Loss_D_fake 0.016959
[662/5000][50/535][68075] Loss_D: -0.023179 Loss_G: 0.018450 Loss_D_real: -0.015313 Loss_D_fake 0.007865
[662/5000][55/535][68076] Loss_D: -0.025369 Loss_G: 0.004568 Loss_D_real: -0.008299 Loss_D_fake 0.017070
[662/5000][60/535][68077] Loss_D: -0.023323 Loss_G: 0.035088 Loss_D_real: -0.026745 Loss_D_fake -0.003421
[662/5000][65/535][68078] Loss_D: -0.023622 Loss_G: 0.011301 Loss_D_real: -0.014335 Loss_D_fake 0.009287
[662/5000][70/535][68079] Loss_D: -0.023411 Loss_G: 0.000107 Loss_D_real: -0.003932 Loss_D_fake 0.019479
[662/5000][75/535][68080] Loss_D: -0.023082 Loss_G: -0.002188 Loss_D_real: -0.007785 Loss_D_fake 0.015297
[662/5000][80/535][68081] Loss_D: -0.022785 Loss_G: -0.010639 Loss_D_real: 0.001472 Loss_D_fake 0.024258
[662/5000][85/535][68082] Loss_D: -0.023273 Loss_G: -0.003929 Loss_D_real: -0.000618 Loss_D_fake 0.022654
[662/5000][90/535][68083] Loss_D: -0.022764 Loss_G: 0.006559 Loss_D_real: -0.017544 Loss_D_fake 0.005220
[662/5000][95/535][68084] Loss_D: -0.023087 Loss_G: 0.015991 Loss_D_real: -0.026014 Loss_D_fake -0.002927
[662/5000][100/535][68085] Loss_D: -0.024169 Loss_G: 0.020280 Loss_D_real: -0.019603 Loss_D_fake 0.004566
[662/5000][105/535][68086] Loss_D: -0.024512 Loss_G: 0.013167 Loss_D_real: -0.014958 Loss_D_fake 0.009554
[662/5000][110/535][68087] Loss_D: -0.024358 Loss_G: 0.022754 Loss_D_real: -0.031815 Loss_D_fake -0.007457
[662/5000][115/535][68088] Loss_D: -0.025208 Loss_G: -0.009969 Loss_D_real: -0.015750 Loss_D_fake 0.009458
[662/5000][120/535][68089] Loss_D: -0.023331 Loss_G: 0.020492 Loss_D_real: -0.025028 Loss_D_fake -0.001696
[662/5000][125/535][68090] Loss_D: -0.024943 Loss_G: -0.003592 Loss_D_real: -0.001211 Loss_D_fake 0.023732
[662/5000][130/535][68091] Loss_D: -0.025007 Loss_G: 0.001791 Loss_D_real: -0.003035 Loss_D_fake 0.021972
[662/5000][135/535][68092] Loss_D: -0.024408 Loss_G: 0.022127 Loss_D_real: -0.021816 Loss_D_fake 0.002592
[662/5000][140/535][68093] Loss_D: -0.024811 Loss_G: -0.009127 Loss_D_real: 0.000113 Loss_D_fake 0.024924
[662/5000][145/535][68094] Loss_D: -0.023260 Loss_G: 0.021349 Loss_D_real: -0.023731 Loss_D_fake -0.000471
[662/5000][150/535][68095] Loss_D: -0.024964 Loss_G: 0.029761 Loss_D_real: -0.026135 Loss_D_fake -0.001171
[662/5000][155/535][68096] Loss_D: -0.025752 Loss_G: -0.001088 Loss_D_real: -0.010741 Loss_D_fake 0.015012
[662/5000][160/535][68097] Loss_D: -0.023566 Loss_G: 0.020443 Loss_D_real: -0.022531 Loss_D_fake 0.001035
[662/5000][165/535][68098] Loss_D: -0.024474 Loss_G: -0.001652 Loss_D_real: -0.010835 Loss_D_fake 0.013639
[662/5000][170/535][68099] Loss_D: -0.023188 Loss_G: 0.015644 Loss_D_real: -0.028364 Loss_D_fake -0.005176
[662/5000][175/535][68100] Loss_D: -0.025727 Loss_G: 0.003011 Loss_D_real: -0.012019 Loss_D_fake 0.013707
[662/5000][180/535][68101] Loss_D: -0.025069 Loss_G: 0.018098 Loss_D_real: -0.016764 Loss_D_fake 0.008305
[662/5000][185/535][68102] Loss_D: -0.023825 Loss_G: 0.008018 Loss_D_real: -0.033614 Loss_D_fake -0.009789
[662/5000][190/535][68103] Loss_D: -0.022940 Loss_G: 0.031049 Loss_D_real: -0.031927 Loss_D_fake -0.008987
[662/5000][195/535][68104] Loss_D: -0.024059 Loss_G: 0.002450 Loss_D_real: -0.016198 Loss_D_fake 0.007861
[662/5000][200/535][68105] Loss_D: -0.025943 Loss_G: 0.005207 Loss_D_real: -0.004984 Loss_D_fake 0.020958
[662/5000][205/535][68106] Loss_D: -0.024633 Loss_G: 0.008670 Loss_D_real: -0.013600 Loss_D_fake 0.011033
[662/5000][210/535][68107] Loss_D: -0.024859 Loss_G: 0.008465 Loss_D_real: -0.014754 Loss_D_fake 0.010105
[662/5000][215/535][68108] Loss_D: -0.024716 Loss_G: 0.020092 Loss_D_real: -0.020153 Loss_D_fake 0.004563
[662/5000][220/535][68109] Loss_D: -0.024155 Loss_G: 0.006485 Loss_D_real: -0.017680 Loss_D_fake 0.006475
[662/5000][225/535][68110] Loss_D: -0.023537 Loss_G: 0.020776 Loss_D_real: -0.024741 Loss_D_fake -0.001204
[662/5000][230/535][68111] Loss_D: -0.021929 Loss_G: -0.014754 Loss_D_real: 0.001587 Loss_D_fake 0.023516
[662/5000][235/535][68112] Loss_D: -0.024348 Loss_G: 0.006588 Loss_D_real: -0.011617 Loss_D_fake 0.012731
[662/5000][240/535][68113] Loss_D: -0.023137 Loss_G: -0.001077 Loss_D_real: -0.011027 Loss_D_fake 0.012110
[662/5000][245/535][68114] Loss_D: -0.022393 Loss_G: 0.003036 Loss_D_real: -0.009789 Loss_D_fake 0.012604
[662/5000][250/535][68115] Loss_D: -0.024084 Loss_G: -0.005400 Loss_D_real: -0.009777 Loss_D_fake 0.014307
[662/5000][255/535][68116] Loss_D: -0.024347 Loss_G: 0.020238 Loss_D_real: -0.030035 Loss_D_fake -0.005688
[662/5000][260/535][68117] Loss_D: -0.022857 Loss_G: 0.028002 Loss_D_real: -0.028169 Loss_D_fake -0.005312
[662/5000][265/535][68118] Loss_D: -0.022771 Loss_G: 0.017247 Loss_D_real: -0.022234 Loss_D_fake 0.000537
[662/5000][270/535][68119] Loss_D: -0.024044 Loss_G: 0.017793 Loss_D_real: -0.025664 Loss_D_fake -0.001620
[662/5000][275/535][68120] Loss_D: -0.025099 Loss_G: 0.035746 Loss_D_real: -0.026350 Loss_D_fake -0.001252
[662/5000][280/535][68121] Loss_D: -0.024738 Loss_G: 0.007733 Loss_D_real: -0.011416 Loss_D_fake 0.013322
[662/5000][285/535][68122] Loss_D: -0.024624 Loss_G: 0.008592 Loss_D_real: -0.012420 Loss_D_fake 0.012204
[662/5000][290/535][68123] Loss_D: -0.024705 Loss_G: -0.001524 Loss_D_real: -0.011127 Loss_D_fake 0.013578
[662/5000][295/535][68124] Loss_D: -0.023793 Loss_G: 0.031106 Loss_D_real: -0.028696 Loss_D_fake -0.004904
[662/5000][300/535][68125] Loss_D: -0.023628 Loss_G: 0.010577 Loss_D_real: -0.012983 Loss_D_fake 0.010646
[662/5000][305/535][68126] Loss_D: -0.022306 Loss_G: 0.034120 Loss_D_real: -0.031121 Loss_D_fake -0.008815
[662/5000][310/535][68127] Loss_D: -0.025238 Loss_G: -0.002919 Loss_D_real: -0.004905 Loss_D_fake 0.020333
[662/5000][315/535][68128] Loss_D: -0.024306 Loss_G: 0.023658 Loss_D_real: -0.030285 Loss_D_fake -0.005979
[662/5000][320/535][68129] Loss_D: -0.026123 Loss_G: 0.010800 Loss_D_real: -0.026181 Loss_D_fake -0.000058
[662/5000][325/535][68130] Loss_D: -0.023213 Loss_G: 0.029801 Loss_D_real: -0.033429 Loss_D_fake -0.010216
[662/5000][330/535][68131] Loss_D: -0.025295 Loss_G: -0.002705 Loss_D_real: -0.005361 Loss_D_fake 0.019935
[662/5000][335/535][68132] Loss_D: -0.024375 Loss_G: 0.013277 Loss_D_real: -0.004644 Loss_D_fake 0.019731
[662/5000][340/535][68133] Loss_D: -0.025140 Loss_G: 0.018648 Loss_D_real: -0.026192 Loss_D_fake -0.001052
[662/5000][345/535][68134] Loss_D: -0.025253 Loss_G: 0.019420 Loss_D_real: -0.017574 Loss_D_fake 0.007679
[662/5000][350/535][68135] Loss_D: -0.026029 Loss_G: 0.024586 Loss_D_real: -0.021829 Loss_D_fake 0.004200
[662/5000][355/535][68136] Loss_D: -0.025483 Loss_G: -0.001745 Loss_D_real: -0.005785 Loss_D_fake 0.019698
[662/5000][360/535][68137] Loss_D: -0.024926 Loss_G: 0.013935 Loss_D_real: -0.015534 Loss_D_fake 0.009392
[662/5000][365/535][68138] Loss_D: -0.024256 Loss_G: 0.011265 Loss_D_real: -0.013381 Loss_D_fake 0.010875
[662/5000][370/535][68139] Loss_D: -0.024367 Loss_G: 0.026114 Loss_D_real: -0.025731 Loss_D_fake -0.001364
[662/5000][375/535][68140] Loss_D: -0.024165 Loss_G: 0.026069 Loss_D_real: -0.016929 Loss_D_fake 0.007236
[662/5000][380/535][68141] Loss_D: -0.022991 Loss_G: 0.008310 Loss_D_real: -0.011754 Loss_D_fake 0.011236
[662/5000][385/535][68142] Loss_D: -0.023959 Loss_G: -0.006796 Loss_D_real: 0.003675 Loss_D_fake 0.027634
[662/5000][390/535][68143] Loss_D: -0.024112 Loss_G: -0.000532 Loss_D_real: -0.013901 Loss_D_fake 0.010211
[662/5000][395/535][68144] Loss_D: -0.024908 Loss_G: 0.028205 Loss_D_real: -0.032886 Loss_D_fake -0.007978
[662/5000][400/535][68145] Loss_D: -0.024361 Loss_G: -0.007568 Loss_D_real: -0.002202 Loss_D_fake 0.022159
[662/5000][405/535][68146] Loss_D: -0.023425 Loss_G: 0.013952 Loss_D_real: -0.022126 Loss_D_fake 0.001299
[662/5000][410/535][68147] Loss_D: -0.025171 Loss_G: 0.013210 Loss_D_real: -0.009501 Loss_D_fake 0.015669
[662/5000][415/535][68148] Loss_D: -0.025734 Loss_G: -0.002330 Loss_D_real: -0.015910 Loss_D_fake 0.009824
[662/5000][420/535][68149] Loss_D: -0.024101 Loss_G: 0.014900 Loss_D_real: -0.029458 Loss_D_fake -0.005357
[662/5000][425/535][68150] Loss_D: -0.023864 Loss_G: 0.008998 Loss_D_real: -0.013440 Loss_D_fake 0.010424
[662/5000][430/535][68151] Loss_D: -0.024060 Loss_G: 0.007781 Loss_D_real: -0.019595 Loss_D_fake 0.004466
[662/5000][435/535][68152] Loss_D: -0.024369 Loss_G: 0.015041 Loss_D_real: -0.019280 Loss_D_fake 0.005089
[662/5000][440/535][68153] Loss_D: -0.024472 Loss_G: 0.032671 Loss_D_real: -0.025238 Loss_D_fake -0.000765
[662/5000][445/535][68154] Loss_D: -0.024476 Loss_G: 0.010749 Loss_D_real: -0.012605 Loss_D_fake 0.011871
[662/5000][450/535][68155] Loss_D: -0.022518 Loss_G: 0.000798 Loss_D_real: -0.007749 Loss_D_fake 0.014769
[662/5000][455/535][68156] Loss_D: -0.024339 Loss_G: 0.003089 Loss_D_real: -0.007697 Loss_D_fake 0.016642
[662/5000][460/535][68157] Loss_D: -0.024450 Loss_G: 0.014832 Loss_D_real: -0.023369 Loss_D_fake 0.001081
[662/5000][465/535][68158] Loss_D: -0.023616 Loss_G: -0.006703 Loss_D_real: -0.006622 Loss_D_fake 0.016994
[662/5000][470/535][68159] Loss_D: -0.024506 Loss_G: 0.024166 Loss_D_real: -0.020584 Loss_D_fake 0.003922
[662/5000][475/535][68160] Loss_D: -0.024773 Loss_G: 0.015545 Loss_D_real: -0.024691 Loss_D_fake 0.000082
[662/5000][480/535][68161] Loss_D: -0.024369 Loss_G: 0.017676 Loss_D_real: -0.016857 Loss_D_fake 0.007512
[662/5000][485/535][68162] Loss_D: -0.024533 Loss_G: 0.028772 Loss_D_real: -0.015265 Loss_D_fake 0.009267
[662/5000][490/535][68163] Loss_D: -0.024611 Loss_G: 0.032826 Loss_D_real: -0.030000 Loss_D_fake -0.005389
[662/5000][495/535][68164] Loss_D: -0.025071 Loss_G: 0.005176 Loss_D_real: -0.005897 Loss_D_fake 0.019173
[662/5000][500/535][68165] Loss_D: -0.024719 Loss_G: 0.013435 Loss_D_real: -0.013586 Loss_D_fake 0.011133
[662/5000][505/535][68166] Loss_D: -0.023236 Loss_G: 0.029402 Loss_D_real: -0.021734 Loss_D_fake 0.001501
[662/5000][510/535][68167] Loss_D: -0.024022 Loss_G: 0.016279 Loss_D_real: -0.027495 Loss_D_fake -0.003472
[662/5000][515/535][68168] Loss_D: -0.025886 Loss_G: 0.005315 Loss_D_real: -0.019411 Loss_D_fake 0.006475
[662/5000][520/535][68169] Loss_D: -0.024124 Loss_G: 0.023820 Loss_D_real: -0.026244 Loss_D_fake -0.002119
[662/5000][525/535][68170] Loss_D: -0.024425 Loss_G: 0.004715 Loss_D_real: -0.013962 Loss_D_fake 0.010464
[662/5000][530/535][68171] Loss_D: -0.025017 Loss_G: -0.003362 Loss_D_real: -0.012877 Loss_D_fake 0.012140
[662/5000][535/535][68172] Loss_D: -0.024238 Loss_G: 0.016929 Loss_D_real: -0.023348 Loss_D_fake 0.000889
[663/5000][5/535][68173] Loss_D: -0.025137 Loss_G: 0.017907 Loss_D_real: -0.020481 Loss_D_fake 0.004656
[663/5000][10/535][68174] Loss_D: -0.024274 Loss_G: 0.022296 Loss_D_real: -0.027915 Loss_D_fake -0.003642
[663/5000][15/535][68175] Loss_D: -0.025803 Loss_G: 0.012437 Loss_D_real: -0.022740 Loss_D_fake 0.003064
[663/5000][20/535][68176] Loss_D: -0.025431 Loss_G: 0.012624 Loss_D_real: -0.013186 Loss_D_fake 0.012245
[663/5000][25/535][68177] Loss_D: -0.023417 Loss_G: 0.014986 Loss_D_real: -0.025325 Loss_D_fake -0.001908
[663/5000][30/535][68178] Loss_D: -0.023377 Loss_G: 0.029749 Loss_D_real: -0.030494 Loss_D_fake -0.007117
[663/5000][35/535][68179] Loss_D: -0.024813 Loss_G: 0.005736 Loss_D_real: -0.004787 Loss_D_fake 0.020025
[663/5000][40/535][68180] Loss_D: -0.021601 Loss_G: 0.004672 Loss_D_real: -0.012993 Loss_D_fake 0.008609
[663/5000][45/535][68181] Loss_D: -0.023857 Loss_G: -0.007101 Loss_D_real: -0.003088 Loss_D_fake 0.020769
[663/5000][50/535][68182] Loss_D: -0.023237 Loss_G: 0.022520 Loss_D_real: -0.022099 Loss_D_fake 0.001138
[663/5000][55/535][68183] Loss_D: -0.023771 Loss_G: 0.009979 Loss_D_real: -0.025784 Loss_D_fake -0.002013
[663/5000][60/535][68184] Loss_D: -0.024608 Loss_G: 0.001090 Loss_D_real: -0.004956 Loss_D_fake 0.019652
[663/5000][65/535][68185] Loss_D: -0.024623 Loss_G: 0.017883 Loss_D_real: -0.015586 Loss_D_fake 0.009037
[663/5000][70/535][68186] Loss_D: -0.022787 Loss_G: 0.019659 Loss_D_real: -0.009333 Loss_D_fake 0.013454
[663/5000][75/535][68187] Loss_D: -0.022335 Loss_G: 0.021591 Loss_D_real: -0.022140 Loss_D_fake 0.000195
[663/5000][80/535][68188] Loss_D: -0.023543 Loss_G: 0.017101 Loss_D_real: -0.010664 Loss_D_fake 0.012879
[663/5000][85/535][68189] Loss_D: -0.024788 Loss_G: 0.021975 Loss_D_real: -0.015470 Loss_D_fake 0.009317
[663/5000][90/535][68190] Loss_D: -0.023172 Loss_G: 0.017469 Loss_D_real: -0.021698 Loss_D_fake 0.001474
[663/5000][95/535][68191] Loss_D: -0.023845 Loss_G: 0.004349 Loss_D_real: -0.017289 Loss_D_fake 0.006556
[663/5000][100/535][68192] Loss_D: -0.023194 Loss_G: 0.021443 Loss_D_real: -0.021599 Loss_D_fake 0.001595
[663/5000][105/535][68193] Loss_D: -0.021355 Loss_G: 0.032845 Loss_D_real: -0.031313 Loss_D_fake -0.009959
[663/5000][110/535][68194] Loss_D: -0.024509 Loss_G: 0.000287 Loss_D_real: -0.003657 Loss_D_fake 0.020851
[663/5000][115/535][68195] Loss_D: -0.024756 Loss_G: 0.001338 Loss_D_real: -0.008366 Loss_D_fake 0.016390
[663/5000][120/535][68196] Loss_D: -0.023843 Loss_G: 0.022804 Loss_D_real: -0.035000 Loss_D_fake -0.011157
[663/5000][125/535][68197] Loss_D: -0.024871 Loss_G: 0.032166 Loss_D_real: -0.026335 Loss_D_fake -0.001464
[663/5000][130/535][68198] Loss_D: -0.024837 Loss_G: 0.009350 Loss_D_real: -0.004975 Loss_D_fake 0.019863
[663/5000][135/535][68199] Loss_D: -0.023069 Loss_G: 0.009732 Loss_D_real: -0.008710 Loss_D_fake 0.014360
[663/5000][140/535][68200] Loss_D: -0.024581 Loss_G: 0.005583 Loss_D_real: -0.014148 Loss_D_fake 0.010433
[663/5000][145/535][68201] Loss_D: -0.024455 Loss_G: -0.004005 Loss_D_real: -0.013038 Loss_D_fake 0.011416
[663/5000][150/535][68202] Loss_D: -0.023464 Loss_G: 0.012719 Loss_D_real: -0.019347 Loss_D_fake 0.004117
[663/5000][155/535][68203] Loss_D: -0.023240 Loss_G: 0.026849 Loss_D_real: -0.035910 Loss_D_fake -0.012671
[663/5000][160/535][68204] Loss_D: -0.024340 Loss_G: 0.000618 Loss_D_real: -0.007225 Loss_D_fake 0.017114
[663/5000][165/535][68205] Loss_D: -0.023442 Loss_G: 0.010556 Loss_D_real: -0.023142 Loss_D_fake 0.000300
[663/5000][170/535][68206] Loss_D: -0.026096 Loss_G: 0.010178 Loss_D_real: -0.015219 Loss_D_fake 0.010877
[663/5000][175/535][68207] Loss_D: -0.025357 Loss_G: 0.011491 Loss_D_real: -0.029935 Loss_D_fake -0.004579
[663/5000][180/535][68208] Loss_D: -0.025458 Loss_G: 0.014570 Loss_D_real: -0.012403 Loss_D_fake 0.013054
[663/5000][185/535][68209] Loss_D: -0.025394 Loss_G: 0.005224 Loss_D_real: -0.010188 Loss_D_fake 0.015206
[663/5000][190/535][68210] Loss_D: -0.022980 Loss_G: -0.005444 Loss_D_real: -0.003499 Loss_D_fake 0.019481
[663/5000][195/535][68211] Loss_D: -0.025564 Loss_G: 0.017197 Loss_D_real: -0.013374 Loss_D_fake 0.012190
[663/5000][200/535][68212] Loss_D: -0.022619 Loss_G: 0.018119 Loss_D_real: -0.024076 Loss_D_fake -0.001457
[663/5000][205/535][68213] Loss_D: -0.025163 Loss_G: -0.007101 Loss_D_real: -0.004118 Loss_D_fake 0.021046
[663/5000][210/535][68214] Loss_D: -0.024143 Loss_G: 0.027661 Loss_D_real: -0.011442 Loss_D_fake 0.012701
[663/5000][215/535][68215] Loss_D: -0.023992 Loss_G: 0.019041 Loss_D_real: -0.010247 Loss_D_fake 0.013745
[663/5000][220/535][68216] Loss_D: -0.024862 Loss_G: 0.024918 Loss_D_real: -0.029204 Loss_D_fake -0.004342
[663/5000][225/535][68217] Loss_D: -0.023883 Loss_G: -0.016868 Loss_D_real: -0.004014 Loss_D_fake 0.019869
[663/5000][230/535][68218] Loss_D: -0.021876 Loss_G: 0.031128 Loss_D_real: -0.032809 Loss_D_fake -0.010933
[663/5000][235/535][68219] Loss_D: -0.024202 Loss_G: -0.003405 Loss_D_real: -0.009318 Loss_D_fake 0.014883
[663/5000][240/535][68220] Loss_D: -0.024478 Loss_G: 0.007834 Loss_D_real: -0.015065 Loss_D_fake 0.009413
[663/5000][245/535][68221] Loss_D: -0.024663 Loss_G: 0.021678 Loss_D_real: -0.014318 Loss_D_fake 0.010344
[663/5000][250/535][68222] Loss_D: -0.023654 Loss_G: 0.009892 Loss_D_real: -0.017629 Loss_D_fake 0.006025
[663/5000][255/535][68223] Loss_D: -0.024310 Loss_G: -0.013099 Loss_D_real: -0.010073 Loss_D_fake 0.014237
[663/5000][260/535][68224] Loss_D: -0.023923 Loss_G: 0.015507 Loss_D_real: -0.021202 Loss_D_fake 0.002722
[663/5000][265/535][68225] Loss_D: -0.023717 Loss_G: 0.023698 Loss_D_real: -0.014916 Loss_D_fake 0.008801
[663/5000][270/535][68226] Loss_D: -0.025430 Loss_G: 0.013566 Loss_D_real: -0.021223 Loss_D_fake 0.004207
[663/5000][275/535][68227] Loss_D: -0.024639 Loss_G: 0.021015 Loss_D_real: -0.021808 Loss_D_fake 0.002831
[663/5000][280/535][68228] Loss_D: -0.024880 Loss_G: -0.009292 Loss_D_real: 0.002450 Loss_D_fake 0.027330
[663/5000][285/535][68229] Loss_D: -0.022585 Loss_G: 0.015668 Loss_D_real: -0.023521 Loss_D_fake -0.000936
[663/5000][290/535][68230] Loss_D: -0.023501 Loss_G: 0.027247 Loss_D_real: -0.026886 Loss_D_fake -0.003385
[663/5000][295/535][68231] Loss_D: -0.023586 Loss_G: 0.009800 Loss_D_real: -0.000227 Loss_D_fake 0.023359
[663/5000][300/535][68232] Loss_D: -0.024514 Loss_G: 0.012814 Loss_D_real: -0.013918 Loss_D_fake 0.010595
[663/5000][305/535][68233] Loss_D: -0.024204 Loss_G: 0.019017 Loss_D_real: -0.023311 Loss_D_fake 0.000893
[663/5000][310/535][68234] Loss_D: -0.023909 Loss_G: 0.017515 Loss_D_real: -0.026437 Loss_D_fake -0.002527
[663/5000][315/535][68235] Loss_D: -0.025309 Loss_G: 0.009911 Loss_D_real: -0.008533 Loss_D_fake 0.016776
[663/5000][320/535][68236] Loss_D: -0.024820 Loss_G: 0.013981 Loss_D_real: -0.018078 Loss_D_fake 0.006742
[663/5000][325/535][68237] Loss_D: -0.024593 Loss_G: 0.001636 Loss_D_real: -0.021987 Loss_D_fake 0.002606
[663/5000][330/535][68238] Loss_D: -0.025424 Loss_G: 0.010123 Loss_D_real: -0.016072 Loss_D_fake 0.009351
[663/5000][335/535][68239] Loss_D: -0.025364 Loss_G: 0.007451 Loss_D_real: -0.018514 Loss_D_fake 0.006849
[663/5000][340/535][68240] Loss_D: -0.024340 Loss_G: 0.000148 Loss_D_real: -0.009179 Loss_D_fake 0.015161
[663/5000][345/535][68241] Loss_D: -0.024827 Loss_G: 0.017779 Loss_D_real: -0.026468 Loss_D_fake -0.001641
[663/5000][350/535][68242] Loss_D: -0.024347 Loss_G: 0.007674 Loss_D_real: -0.009164 Loss_D_fake 0.015182
[663/5000][355/535][68243] Loss_D: -0.023926 Loss_G: 0.029861 Loss_D_real: -0.021854 Loss_D_fake 0.002073
[663/5000][360/535][68244] Loss_D: -0.025600 Loss_G: 0.013119 Loss_D_real: -0.016674 Loss_D_fake 0.008927
[663/5000][365/535][68245] Loss_D: -0.023798 Loss_G: 0.020128 Loss_D_real: -0.025878 Loss_D_fake -0.002080
[663/5000][370/535][68246] Loss_D: -0.025058 Loss_G: -0.004995 Loss_D_real: -0.012325 Loss_D_fake 0.012733
[663/5000][375/535][68247] Loss_D: -0.022920 Loss_G: 0.025391 Loss_D_real: -0.019215 Loss_D_fake 0.003706
[663/5000][380/535][68248] Loss_D: -0.023750 Loss_G: 0.019783 Loss_D_real: -0.019602 Loss_D_fake 0.004147
[663/5000][385/535][68249] Loss_D: -0.025974 Loss_G: 0.012460 Loss_D_real: -0.017808 Loss_D_fake 0.008165
[663/5000][390/535][68250] Loss_D: -0.024155 Loss_G: 0.024505 Loss_D_real: -0.031605 Loss_D_fake -0.007450
[663/5000][395/535][68251] Loss_D: -0.024599 Loss_G: 0.015473 Loss_D_real: -0.022830 Loss_D_fake 0.001769
[663/5000][400/535][68252] Loss_D: -0.024851 Loss_G: 0.016380 Loss_D_real: -0.021418 Loss_D_fake 0.003433
[663/5000][405/535][68253] Loss_D: -0.023951 Loss_G: -0.000817 Loss_D_real: 0.005588 Loss_D_fake 0.029539
[663/5000][410/535][68254] Loss_D: -0.023476 Loss_G: 0.001516 Loss_D_real: -0.006904 Loss_D_fake 0.016572
[663/5000][415/535][68255] Loss_D: -0.023927 Loss_G: 0.015169 Loss_D_real: -0.014222 Loss_D_fake 0.009704
[663/5000][420/535][68256] Loss_D: -0.023889 Loss_G: 0.018675 Loss_D_real: -0.021564 Loss_D_fake 0.002326
[663/5000][425/535][68257] Loss_D: -0.024476 Loss_G: 0.003321 Loss_D_real: -0.006844 Loss_D_fake 0.017632
[663/5000][430/535][68258] Loss_D: -0.023686 Loss_G: 0.012677 Loss_D_real: -0.017504 Loss_D_fake 0.006183
[663/5000][435/535][68259] Loss_D: -0.023416 Loss_G: 0.001237 Loss_D_real: -0.018250 Loss_D_fake 0.005167
[663/5000][440/535][68260] Loss_D: -0.023355 Loss_G: 0.014371 Loss_D_real: -0.023933 Loss_D_fake -0.000577
[663/5000][445/535][68261] Loss_D: -0.023747 Loss_G: 0.025298 Loss_D_real: -0.029157 Loss_D_fake -0.005410
[663/5000][450/535][68262] Loss_D: -0.026461 Loss_G: 0.011751 Loss_D_real: -0.005675 Loss_D_fake 0.020786
[663/5000][455/535][68263] Loss_D: -0.024294 Loss_G: 0.008323 Loss_D_real: -0.010904 Loss_D_fake 0.013390
[663/5000][460/535][68264] Loss_D: -0.024505 Loss_G: 0.018133 Loss_D_real: -0.027918 Loss_D_fake -0.003413
[663/5000][465/535][68265] Loss_D: -0.025255 Loss_G: 0.014674 Loss_D_real: 0.001256 Loss_D_fake 0.026511
[663/5000][470/535][68266] Loss_D: -0.023033 Loss_G: 0.034958 Loss_D_real: -0.031192 Loss_D_fake -0.008159
[663/5000][475/535][68267] Loss_D: -0.024778 Loss_G: 0.000985 Loss_D_real: -0.010150 Loss_D_fake 0.014628
[663/5000][480/535][68268] Loss_D: -0.023451 Loss_G: 0.016016 Loss_D_real: -0.024775 Loss_D_fake -0.001324
[663/5000][485/535][68269] Loss_D: -0.024940 Loss_G: 0.014662 Loss_D_real: -0.010557 Loss_D_fake 0.014383
[663/5000][490/535][68270] Loss_D: -0.025305 Loss_G: 0.020963 Loss_D_real: -0.020726 Loss_D_fake 0.004578
[663/5000][495/535][68271] Loss_D: -0.025260 Loss_G: 0.019051 Loss_D_real: -0.019669 Loss_D_fake 0.005591
[663/5000][500/535][68272] Loss_D: -0.024572 Loss_G: 0.014898 Loss_D_real: -0.019979 Loss_D_fake 0.004594
[663/5000][505/535][68273] Loss_D: -0.023907 Loss_G: 0.021908 Loss_D_real: -0.018825 Loss_D_fake 0.005082
[663/5000][510/535][68274] Loss_D: -0.024427 Loss_G: -0.005630 Loss_D_real: -0.004768 Loss_D_fake 0.019659
[663/5000][515/535][68275] Loss_D: -0.023966 Loss_G: 0.026439 Loss_D_real: -0.028245 Loss_D_fake -0.004279
[663/5000][520/535][68276] Loss_D: -0.023197 Loss_G: 0.025013 Loss_D_real: -0.025751 Loss_D_fake -0.002554
[663/5000][525/535][68277] Loss_D: -0.022816 Loss_G: -0.014888 Loss_D_real: -0.005164 Loss_D_fake 0.017652
[663/5000][530/535][68278] Loss_D: -0.024296 Loss_G: 0.019302 Loss_D_real: -0.022087 Loss_D_fake 0.002209
[663/5000][535/535][68279] Loss_D: -0.026263 Loss_G: 0.012380 Loss_D_real: -0.021362 Loss_D_fake 0.004901
[664/5000][5/535][68280] Loss_D: -0.023294 Loss_G: 0.030433 Loss_D_real: -0.037880 Loss_D_fake -0.014586
[664/5000][10/535][68281] Loss_D: -0.022984 Loss_G: 0.023866 Loss_D_real: -0.022360 Loss_D_fake 0.000625
[664/5000][15/535][68282] Loss_D: -0.024260 Loss_G: 0.029060 Loss_D_real: -0.036318 Loss_D_fake -0.012058
[664/5000][20/535][68283] Loss_D: -0.023228 Loss_G: 0.030924 Loss_D_real: -0.026299 Loss_D_fake -0.003071
[664/5000][25/535][68284] Loss_D: -0.023252 Loss_G: -0.012488 Loss_D_real: 0.004793 Loss_D_fake 0.028044
[664/5000][30/535][68285] Loss_D: -0.023626 Loss_G: 0.013539 Loss_D_real: -0.018717 Loss_D_fake 0.004909
[664/5000][35/535][68286] Loss_D: -0.024488 Loss_G: 0.012245 Loss_D_real: -0.021150 Loss_D_fake 0.003338
[664/5000][40/535][68287] Loss_D: -0.023966 Loss_G: 0.019815 Loss_D_real: -0.015628 Loss_D_fake 0.008338
[664/5000][45/535][68288] Loss_D: -0.024505 Loss_G: -0.002325 Loss_D_real: -0.002785 Loss_D_fake 0.021719
[664/5000][50/535][68289] Loss_D: -0.022501 Loss_G: 0.023661 Loss_D_real: -0.020611 Loss_D_fake 0.001890
[664/5000][55/535][68290] Loss_D: -0.023460 Loss_G: 0.008247 Loss_D_real: -0.020507 Loss_D_fake 0.002953
[664/5000][60/535][68291] Loss_D: -0.024227 Loss_G: 0.019896 Loss_D_real: -0.014655 Loss_D_fake 0.009572
[664/5000][65/535][68292] Loss_D: -0.025180 Loss_G: 0.012987 Loss_D_real: -0.011572 Loss_D_fake 0.013608
[664/5000][70/535][68293] Loss_D: -0.022218 Loss_G: 0.029524 Loss_D_real: -0.034224 Loss_D_fake -0.012006
[664/5000][75/535][68294] Loss_D: -0.025076 Loss_G: 0.011872 Loss_D_real: -0.029040 Loss_D_fake -0.003964
[664/5000][80/535][68295] Loss_D: -0.025364 Loss_G: 0.010855 Loss_D_real: -0.031185 Loss_D_fake -0.005821
[664/5000][85/535][68296] Loss_D: -0.024651 Loss_G: -0.002808 Loss_D_real: -0.012758 Loss_D_fake 0.011893
[664/5000][90/535][68297] Loss_D: -0.023402 Loss_G: 0.022860 Loss_D_real: -0.028010 Loss_D_fake -0.004608
[664/5000][95/535][68298] Loss_D: -0.024207 Loss_G: -0.002286 Loss_D_real: -0.003419 Loss_D_fake 0.020789
[664/5000][100/535][68299] Loss_D: -0.023999 Loss_G: 0.010342 Loss_D_real: -0.024328 Loss_D_fake -0.000329
[664/5000][105/535][68300] Loss_D: -0.023789 Loss_G: 0.019766 Loss_D_real: -0.026127 Loss_D_fake -0.002337
[664/5000][110/535][68301] Loss_D: -0.023353 Loss_G: 0.006087 Loss_D_real: -0.005675 Loss_D_fake 0.017678
[664/5000][115/535][68302] Loss_D: -0.022835 Loss_G: 0.023789 Loss_D_real: -0.018208 Loss_D_fake 0.004628
[664/5000][120/535][68303] Loss_D: -0.023393 Loss_G: -0.002118 Loss_D_real: -0.008475 Loss_D_fake 0.014919
[664/5000][125/535][68304] Loss_D: -0.024421 Loss_G: -0.001895 Loss_D_real: -0.007446 Loss_D_fake 0.016975
[664/5000][130/535][68305] Loss_D: -0.025124 Loss_G: 0.015510 Loss_D_real: -0.016691 Loss_D_fake 0.008433
[664/5000][135/535][68306] Loss_D: -0.024190 Loss_G: -0.004367 Loss_D_real: -0.007360 Loss_D_fake 0.016830
[664/5000][140/535][68307] Loss_D: -0.023169 Loss_G: 0.020870 Loss_D_real: -0.023986 Loss_D_fake -0.000817
[664/5000][145/535][68308] Loss_D: -0.023259 Loss_G: 0.002808 Loss_D_real: -0.015430 Loss_D_fake 0.007830
[664/5000][150/535][68309] Loss_D: -0.025986 Loss_G: 0.027521 Loss_D_real: -0.020797 Loss_D_fake 0.005189
[664/5000][155/535][68310] Loss_D: -0.023862 Loss_G: 0.032097 Loss_D_real: -0.021388 Loss_D_fake 0.002474
[664/5000][160/535][68311] Loss_D: -0.025946 Loss_G: 0.001764 Loss_D_real: -0.011758 Loss_D_fake 0.014189
[664/5000][165/535][68312] Loss_D: -0.024547 Loss_G: 0.021411 Loss_D_real: -0.015897 Loss_D_fake 0.008650
[664/5000][170/535][68313] Loss_D: -0.025789 Loss_G: 0.013841 Loss_D_real: -0.014803 Loss_D_fake 0.010986
[664/5000][175/535][68314] Loss_D: -0.025170 Loss_G: 0.017878 Loss_D_real: -0.016025 Loss_D_fake 0.009145
[664/5000][180/535][68315] Loss_D: -0.024724 Loss_G: 0.016389 Loss_D_real: -0.022632 Loss_D_fake 0.002092
[664/5000][185/535][68316] Loss_D: -0.025735 Loss_G: 0.011109 Loss_D_real: -0.018634 Loss_D_fake 0.007101
[664/5000][190/535][68317] Loss_D: -0.025577 Loss_G: 0.021931 Loss_D_real: -0.023007 Loss_D_fake 0.002569
[664/5000][195/535][68318] Loss_D: -0.024490 Loss_G: 0.006867 Loss_D_real: -0.009983 Loss_D_fake 0.014507
[664/5000][200/535][68319] Loss_D: -0.023851 Loss_G: 0.020730 Loss_D_real: -0.017633 Loss_D_fake 0.006218
[664/5000][205/535][68320] Loss_D: -0.023525 Loss_G: -0.002999 Loss_D_real: -0.003646 Loss_D_fake 0.019879
[664/5000][210/535][68321] Loss_D: -0.023558 Loss_G: 0.024028 Loss_D_real: -0.027879 Loss_D_fake -0.004321
[664/5000][215/535][68322] Loss_D: -0.024274 Loss_G: -0.000360 Loss_D_real: -0.002020 Loss_D_fake 0.022254
[664/5000][220/535][68323] Loss_D: -0.023459 Loss_G: 0.015661 Loss_D_real: -0.021785 Loss_D_fake 0.001674
[664/5000][225/535][68324] Loss_D: -0.023697 Loss_G: 0.020995 Loss_D_real: -0.018010 Loss_D_fake 0.005687
[664/5000][230/535][68325] Loss_D: -0.023665 Loss_G: -0.004933 Loss_D_real: 0.000331 Loss_D_fake 0.023996
[664/5000][235/535][68326] Loss_D: -0.024204 Loss_G: 0.008126 Loss_D_real: -0.013393 Loss_D_fake 0.010811
[664/5000][240/535][68327] Loss_D: -0.023848 Loss_G: 0.006856 Loss_D_real: -0.018177 Loss_D_fake 0.005671
[664/5000][245/535][68328] Loss_D: -0.024994 Loss_G: 0.010447 Loss_D_real: -0.013608 Loss_D_fake 0.011385
[664/5000][250/535][68329] Loss_D: -0.022567 Loss_G: 0.005409 Loss_D_real: -0.021664 Loss_D_fake 0.000903
[664/5000][255/535][68330] Loss_D: -0.023862 Loss_G: -0.003996 Loss_D_real: -0.018717 Loss_D_fake 0.005145
[664/5000][260/535][68331] Loss_D: -0.024061 Loss_G: 0.034297 Loss_D_real: -0.031586 Loss_D_fake -0.007526
[664/5000][265/535][68332] Loss_D: -0.025785 Loss_G: 0.003321 Loss_D_real: -0.018305 Loss_D_fake 0.007480
[664/5000][270/535][68333] Loss_D: -0.025153 Loss_G: 0.016431 Loss_D_real: -0.022453 Loss_D_fake 0.002700
[664/5000][275/535][68334] Loss_D: -0.024569 Loss_G: 0.030929 Loss_D_real: -0.022118 Loss_D_fake 0.002451
[664/5000][280/535][68335] Loss_D: -0.024118 Loss_G: 0.017010 Loss_D_real: -0.021919 Loss_D_fake 0.002199
[664/5000][285/535][68336] Loss_D: -0.024802 Loss_G: 0.008629 Loss_D_real: -0.021390 Loss_D_fake 0.003412
[664/5000][290/535][68337] Loss_D: -0.022732 Loss_G: 0.031751 Loss_D_real: -0.033976 Loss_D_fake -0.011244
[664/5000][295/535][68338] Loss_D: -0.023909 Loss_G: 0.000737 Loss_D_real: -0.005734 Loss_D_fake 0.018176
[664/5000][300/535][68339] Loss_D: -0.023712 Loss_G: 0.016359 Loss_D_real: -0.024786 Loss_D_fake -0.001074
[664/5000][305/535][68340] Loss_D: -0.023600 Loss_G: 0.022719 Loss_D_real: -0.012952 Loss_D_fake 0.010648
[664/5000][310/535][68341] Loss_D: -0.023021 Loss_G: 0.016296 Loss_D_real: -0.015014 Loss_D_fake 0.008007
[664/5000][315/535][68342] Loss_D: -0.024096 Loss_G: -0.005169 Loss_D_real: 0.002821 Loss_D_fake 0.026918
[664/5000][320/535][68343] Loss_D: -0.024732 Loss_G: 0.035195 Loss_D_real: -0.034725 Loss_D_fake -0.009992
[664/5000][325/535][68344] Loss_D: -0.025031 Loss_G: 0.017222 Loss_D_real: -0.020105 Loss_D_fake 0.004926
[664/5000][330/535][68345] Loss_D: -0.024978 Loss_G: 0.021341 Loss_D_real: -0.025378 Loss_D_fake -0.000400
[664/5000][335/535][68346] Loss_D: -0.024656 Loss_G: -0.000373 Loss_D_real: -0.002712 Loss_D_fake 0.021943
[664/5000][340/535][68347] Loss_D: -0.023646 Loss_G: 0.017640 Loss_D_real: -0.020609 Loss_D_fake 0.003038
[664/5000][345/535][68348] Loss_D: -0.024147 Loss_G: -0.000326 Loss_D_real: -0.005235 Loss_D_fake 0.018912
[664/5000][350/535][68349] Loss_D: -0.023822 Loss_G: -0.000651 Loss_D_real: -0.017167 Loss_D_fake 0.006655
[664/5000][355/535][68350] Loss_D: -0.024680 Loss_G: 0.014905 Loss_D_real: -0.024293 Loss_D_fake 0.000387
[664/5000][360/535][68351] Loss_D: -0.023947 Loss_G: 0.029009 Loss_D_real: -0.029688 Loss_D_fake -0.005740
[664/5000][365/535][68352] Loss_D: -0.024039 Loss_G: 0.023375 Loss_D_real: -0.022093 Loss_D_fake 0.001946
[664/5000][370/535][68353] Loss_D: -0.024924 Loss_G: 0.002840 Loss_D_real: -0.011103 Loss_D_fake 0.013822
[664/5000][375/535][68354] Loss_D: -0.024578 Loss_G: 0.034756 Loss_D_real: -0.025891 Loss_D_fake -0.001313
[664/5000][380/535][68355] Loss_D: -0.023589 Loss_G: -0.001009 Loss_D_real: -0.014497 Loss_D_fake 0.009092
[664/5000][385/535][68356] Loss_D: -0.024218 Loss_G: 0.018265 Loss_D_real: -0.019285 Loss_D_fake 0.004933
[664/5000][390/535][68357] Loss_D: -0.024391 Loss_G: 0.028731 Loss_D_real: -0.023934 Loss_D_fake 0.000457
[664/5000][395/535][68358] Loss_D: -0.023857 Loss_G: -0.008685 Loss_D_real: 0.003446 Loss_D_fake 0.027303
[664/5000][400/535][68359] Loss_D: -0.023334 Loss_G: -0.003757 Loss_D_real: -0.006328 Loss_D_fake 0.017006
[664/5000][405/535][68360] Loss_D: -0.023990 Loss_G: 0.006045 Loss_D_real: -0.021126 Loss_D_fake 0.002865
[664/5000][410/535][68361] Loss_D: -0.022624 Loss_G: 0.020724 Loss_D_real: -0.034162 Loss_D_fake -0.011538
[664/5000][415/535][68362] Loss_D: -0.024770 Loss_G: 0.010163 Loss_D_real: -0.012915 Loss_D_fake 0.011855
[664/5000][420/535][68363] Loss_D: -0.023784 Loss_G: -0.003535 Loss_D_real: -0.011799 Loss_D_fake 0.011985
[664/5000][425/535][68364] Loss_D: -0.023413 Loss_G: 0.025038 Loss_D_real: -0.029525 Loss_D_fake -0.006113
[664/5000][430/535][68365] Loss_D: -0.024788 Loss_G: 0.007716 Loss_D_real: -0.007589 Loss_D_fake 0.017199
[664/5000][435/535][68366] Loss_D: -0.023839 Loss_G: 0.031889 Loss_D_real: -0.021661 Loss_D_fake 0.002178
[664/5000][440/535][68367] Loss_D: -0.023944 Loss_G: -0.006889 Loss_D_real: -0.005654 Loss_D_fake 0.018291
[664/5000][445/535][68368] Loss_D: -0.024077 Loss_G: 0.007966 Loss_D_real: -0.018828 Loss_D_fake 0.005250
[664/5000][450/535][68369] Loss_D: -0.023942 Loss_G: 0.014372 Loss_D_real: -0.011173 Loss_D_fake 0.012768
[664/5000][455/535][68370] Loss_D: -0.023833 Loss_G: 0.020050 Loss_D_real: -0.023151 Loss_D_fake 0.000682
[664/5000][460/535][68371] Loss_D: -0.025145 Loss_G: 0.018518 Loss_D_real: -0.021181 Loss_D_fake 0.003965
[664/5000][465/535][68372] Loss_D: -0.025845 Loss_G: -0.001408 Loss_D_real: -0.008532 Loss_D_fake 0.017313
[664/5000][470/535][68373] Loss_D: -0.025093 Loss_G: 0.009807 Loss_D_real: -0.013188 Loss_D_fake 0.011906
[664/5000][475/535][68374] Loss_D: -0.022369 Loss_G: 0.037360 Loss_D_real: -0.040576 Loss_D_fake -0.018206
[664/5000][480/535][68375] Loss_D: -0.025951 Loss_G: 0.022780 Loss_D_real: -0.021744 Loss_D_fake 0.004207
[664/5000][485/535][68376] Loss_D: -0.025122 Loss_G: 0.026163 Loss_D_real: -0.022425 Loss_D_fake 0.002696
[664/5000][490/535][68377] Loss_D: -0.025026 Loss_G: -0.006012 Loss_D_real: -0.012774 Loss_D_fake 0.012251
[664/5000][495/535][68378] Loss_D: -0.022317 Loss_G: 0.024300 Loss_D_real: -0.027508 Loss_D_fake -0.005190
[664/5000][500/535][68379] Loss_D: -0.023559 Loss_G: -0.001944 Loss_D_real: -0.002545 Loss_D_fake 0.021014
[664/5000][505/535][68380] Loss_D: -0.025197 Loss_G: 0.010516 Loss_D_real: -0.015891 Loss_D_fake 0.009306
[664/5000][510/535][68381] Loss_D: -0.023583 Loss_G: 0.022478 Loss_D_real: -0.033111 Loss_D_fake -0.009527
[664/5000][515/535][68382] Loss_D: -0.024618 Loss_G: 0.018954 Loss_D_real: -0.011466 Loss_D_fake 0.013151
[664/5000][520/535][68383] Loss_D: -0.023425 Loss_G: 0.024846 Loss_D_real: -0.020296 Loss_D_fake 0.003128
[664/5000][525/535][68384] Loss_D: -0.023142 Loss_G: 0.024549 Loss_D_real: -0.024901 Loss_D_fake -0.001760
[664/5000][530/535][68385] Loss_D: -0.024809 Loss_G: 0.005328 Loss_D_real: -0.015275 Loss_D_fake 0.009535
[664/5000][535/535][68386] Loss_D: -0.022000 Loss_G: -0.025574 Loss_D_real: -0.006779 Loss_D_fake 0.015222
[665/5000][5/535][68387] Loss_D: -0.025081 Loss_G: 0.004138 Loss_D_real: -0.008578 Loss_D_fake 0.016503
[665/5000][10/535][68388] Loss_D: -0.023762 Loss_G: 0.025424 Loss_D_real: -0.032001 Loss_D_fake -0.008239
[665/5000][15/535][68389] Loss_D: -0.025885 Loss_G: 0.013448 Loss_D_real: -0.015872 Loss_D_fake 0.010013
[665/5000][20/535][68390] Loss_D: -0.025539 Loss_G: 0.007850 Loss_D_real: -0.014744 Loss_D_fake 0.010795
[665/5000][25/535][68391] Loss_D: -0.026079 Loss_G: 0.011344 Loss_D_real: -0.016114 Loss_D_fake 0.009965
[665/5000][30/535][68392] Loss_D: -0.025123 Loss_G: 0.014321 Loss_D_real: -0.017050 Loss_D_fake 0.008073
[665/5000][35/535][68393] Loss_D: -0.024981 Loss_G: 0.033665 Loss_D_real: -0.023558 Loss_D_fake 0.001422
[665/5000][40/535][68394] Loss_D: -0.023852 Loss_G: 0.010090 Loss_D_real: -0.009892 Loss_D_fake 0.013961
[665/5000][45/535][68395] Loss_D: -0.023442 Loss_G: 0.016325 Loss_D_real: -0.026038 Loss_D_fake -0.002595
[665/5000][50/535][68396] Loss_D: -0.025077 Loss_G: 0.001408 Loss_D_real: -0.010894 Loss_D_fake 0.014183
[665/5000][55/535][68397] Loss_D: -0.024542 Loss_G: 0.011686 Loss_D_real: -0.020027 Loss_D_fake 0.004515
[665/5000][60/535][68398] Loss_D: -0.024732 Loss_G: 0.021625 Loss_D_real: -0.020692 Loss_D_fake 0.004040
[665/5000][65/535][68399] Loss_D: -0.023767 Loss_G: 0.024082 Loss_D_real: -0.025073 Loss_D_fake -0.001306
[665/5000][70/535][68400] Loss_D: -0.024633 Loss_G: 0.002374 Loss_D_real: -0.009616 Loss_D_fake 0.015018
[665/5000][75/535][68401] Loss_D: -0.023508 Loss_G: -0.012402 Loss_D_real: -0.009608 Loss_D_fake 0.013900
[665/5000][80/535][68402] Loss_D: -0.024015 Loss_G: 0.025643 Loss_D_real: -0.026529 Loss_D_fake -0.002514
[665/5000][85/535][68403] Loss_D: -0.024991 Loss_G: 0.007796 Loss_D_real: -0.022689 Loss_D_fake 0.002302
[665/5000][90/535][68404] Loss_D: -0.024364 Loss_G: 0.029542 Loss_D_real: -0.025169 Loss_D_fake -0.000805
[665/5000][95/535][68405] Loss_D: -0.024384 Loss_G: 0.004450 Loss_D_real: -0.011562 Loss_D_fake 0.012823
[665/5000][100/535][68406] Loss_D: -0.025475 Loss_G: 0.014824 Loss_D_real: -0.010144 Loss_D_fake 0.015331
[665/5000][105/535][68407] Loss_D: -0.024497 Loss_G: -0.006811 Loss_D_real: -0.000884 Loss_D_fake 0.023612
[665/5000][110/535][68408] Loss_D: -0.023510 Loss_G: 0.007206 Loss_D_real: -0.003233 Loss_D_fake 0.020276
[665/5000][115/535][68409] Loss_D: -0.026001 Loss_G: 0.019624 Loss_D_real: -0.012717 Loss_D_fake 0.013284
[665/5000][120/535][68410] Loss_D: -0.022983 Loss_G: 0.026868 Loss_D_real: -0.028413 Loss_D_fake -0.005431
[665/5000][125/535][68411] Loss_D: -0.023589 Loss_G: -0.007823 Loss_D_real: 0.000609 Loss_D_fake 0.024199
[665/5000][130/535][68412] Loss_D: -0.022482 Loss_G: 0.021607 Loss_D_real: -0.015168 Loss_D_fake 0.007315
[665/5000][135/535][68413] Loss_D: -0.025276 Loss_G: 0.012156 Loss_D_real: -0.019311 Loss_D_fake 0.005965
[665/5000][140/535][68414] Loss_D: -0.025329 Loss_G: 0.030582 Loss_D_real: -0.033923 Loss_D_fake -0.008594
[665/5000][145/535][68415] Loss_D: -0.024896 Loss_G: 0.006269 Loss_D_real: -0.014785 Loss_D_fake 0.010111
[665/5000][150/535][68416] Loss_D: -0.023817 Loss_G: 0.012950 Loss_D_real: -0.012840 Loss_D_fake 0.010978
[665/5000][155/535][68417] Loss_D: -0.025261 Loss_G: 0.006855 Loss_D_real: -0.008320 Loss_D_fake 0.016941
[665/5000][160/535][68418] Loss_D: -0.023807 Loss_G: 0.006754 Loss_D_real: -0.008558 Loss_D_fake 0.015249
[665/5000][165/535][68419] Loss_D: -0.022916 Loss_G: -0.004720 Loss_D_real: -0.003643 Loss_D_fake 0.019273
[665/5000][170/535][68420] Loss_D: -0.023928 Loss_G: 0.016735 Loss_D_real: -0.025181 Loss_D_fake -0.001253
[665/5000][175/535][68421] Loss_D: -0.024910 Loss_G: 0.006217 Loss_D_real: -0.010635 Loss_D_fake 0.014275
[665/5000][180/535][68422] Loss_D: -0.024051 Loss_G: 0.009089 Loss_D_real: -0.012299 Loss_D_fake 0.011753
[665/5000][185/535][68423] Loss_D: -0.022914 Loss_G: 0.008961 Loss_D_real: -0.011414 Loss_D_fake 0.011500
[665/5000][190/535][68424] Loss_D: -0.024939 Loss_G: 0.000103 Loss_D_real: -0.001358 Loss_D_fake 0.023581
[665/5000][195/535][68425] Loss_D: -0.024992 Loss_G: 0.030353 Loss_D_real: -0.026571 Loss_D_fake -0.001579
[665/5000][200/535][68426] Loss_D: -0.025648 Loss_G: 0.013883 Loss_D_real: -0.010557 Loss_D_fake 0.015091
[665/5000][205/535][68427] Loss_D: -0.024662 Loss_G: 0.003108 Loss_D_real: -0.012725 Loss_D_fake 0.011938
[665/5000][210/535][68428] Loss_D: -0.023764 Loss_G: 0.020994 Loss_D_real: -0.030623 Loss_D_fake -0.006859
[665/5000][215/535][68429] Loss_D: -0.026838 Loss_G: -0.005574 Loss_D_real: -0.014879 Loss_D_fake 0.011959
[665/5000][220/535][68430] Loss_D: -0.025301 Loss_G: 0.018069 Loss_D_real: -0.016622 Loss_D_fake 0.008679
[665/5000][225/535][68431] Loss_D: -0.023274 Loss_G: 0.026215 Loss_D_real: -0.023409 Loss_D_fake -0.000135
[665/5000][230/535][68432] Loss_D: -0.024809 Loss_G: 0.013469 Loss_D_real: -0.015706 Loss_D_fake 0.009103
[665/5000][235/535][68433] Loss_D: -0.023935 Loss_G: 0.003257 Loss_D_real: -0.007493 Loss_D_fake 0.016442
[665/5000][240/535][68434] Loss_D: -0.024016 Loss_G: 0.031264 Loss_D_real: -0.021787 Loss_D_fake 0.002229
[665/5000][245/535][68435] Loss_D: -0.025178 Loss_G: 0.009663 Loss_D_real: -0.013278 Loss_D_fake 0.011900
[665/5000][250/535][68436] Loss_D: -0.025285 Loss_G: 0.000988 Loss_D_real: -0.015572 Loss_D_fake 0.009713
[665/5000][255/535][68437] Loss_D: -0.025148 Loss_G: 0.012440 Loss_D_real: -0.012703 Loss_D_fake 0.012445
[665/5000][260/535][68438] Loss_D: -0.024592 Loss_G: 0.025661 Loss_D_real: -0.021776 Loss_D_fake 0.002816
[665/5000][265/535][68439] Loss_D: -0.025002 Loss_G: 0.007547 Loss_D_real: -0.016511 Loss_D_fake 0.008491
[665/5000][270/535][68440] Loss_D: -0.024569 Loss_G: 0.000828 Loss_D_real: -0.009323 Loss_D_fake 0.015247
[665/5000][275/535][68441] Loss_D: -0.023943 Loss_G: 0.002041 Loss_D_real: -0.012547 Loss_D_fake 0.011396
[665/5000][280/535][68442] Loss_D: -0.024522 Loss_G: 0.000169 Loss_D_real: -0.006306 Loss_D_fake 0.018216
[665/5000][285/535][68443] Loss_D: -0.023489 Loss_G: 0.031265 Loss_D_real: -0.035189 Loss_D_fake -0.011700
[665/5000][290/535][68444] Loss_D: -0.022993 Loss_G: 0.030713 Loss_D_real: -0.027091 Loss_D_fake -0.004099
[665/5000][295/535][68445] Loss_D: -0.024917 Loss_G: 0.011301 Loss_D_real: -0.015247 Loss_D_fake 0.009670
[665/5000][300/535][68446] Loss_D: -0.025593 Loss_G: -0.008912 Loss_D_real: 0.000315 Loss_D_fake 0.025908
[665/5000][305/535][68447] Loss_D: -0.023302 Loss_G: 0.024277 Loss_D_real: -0.023162 Loss_D_fake 0.000140
[665/5000][310/535][68448] Loss_D: -0.023984 Loss_G: 0.002679 Loss_D_real: -0.018168 Loss_D_fake 0.005817
[665/5000][315/535][68449] Loss_D: -0.024462 Loss_G: 0.021705 Loss_D_real: -0.024536 Loss_D_fake -0.000074
[665/5000][320/535][68450] Loss_D: -0.024761 Loss_G: 0.005110 Loss_D_real: -0.011895 Loss_D_fake 0.012866
[665/5000][325/535][68451] Loss_D: -0.024173 Loss_G: 0.032162 Loss_D_real: -0.025991 Loss_D_fake -0.001818
[665/5000][330/535][68452] Loss_D: -0.024421 Loss_G: 0.019531 Loss_D_real: -0.015974 Loss_D_fake 0.008448
[665/5000][335/535][68453] Loss_D: -0.024974 Loss_G: 0.015712 Loss_D_real: -0.011376 Loss_D_fake 0.013598
[665/5000][340/535][68454] Loss_D: -0.024004 Loss_G: 0.010902 Loss_D_real: -0.020682 Loss_D_fake 0.003323
[665/5000][345/535][68455] Loss_D: -0.024367 Loss_G: 0.033002 Loss_D_real: -0.023403 Loss_D_fake 0.000964
[665/5000][350/535][68456] Loss_D: -0.025229 Loss_G: 0.014600 Loss_D_real: -0.022864 Loss_D_fake 0.002364
[665/5000][355/535][68457] Loss_D: -0.025499 Loss_G: 0.006112 Loss_D_real: -0.018561 Loss_D_fake 0.006939
[665/5000][360/535][68458] Loss_D: -0.023728 Loss_G: 0.030537 Loss_D_real: -0.026913 Loss_D_fake -0.003185
[665/5000][365/535][68459] Loss_D: -0.024219 Loss_G: 0.000070 Loss_D_real: -0.016517 Loss_D_fake 0.007702
[665/5000][370/535][68460] Loss_D: -0.024507 Loss_G: 0.004576 Loss_D_real: -0.016799 Loss_D_fake 0.007708
[665/5000][375/535][68461] Loss_D: -0.023160 Loss_G: 0.008098 Loss_D_real: -0.019015 Loss_D_fake 0.004145
[665/5000][380/535][68462] Loss_D: -0.025596 Loss_G: 0.001320 Loss_D_real: -0.011587 Loss_D_fake 0.014009
[665/5000][385/535][68463] Loss_D: -0.024114 Loss_G: -0.000234 Loss_D_real: -0.024914 Loss_D_fake -0.000800
[665/5000][390/535][68464] Loss_D: -0.025461 Loss_G: 0.027969 Loss_D_real: -0.021670 Loss_D_fake 0.003790
[665/5000][395/535][68465] Loss_D: -0.025704 Loss_G: 0.006941 Loss_D_real: -0.011509 Loss_D_fake 0.014195
[665/5000][400/535][68466] Loss_D: -0.023936 Loss_G: 0.008911 Loss_D_real: -0.024857 Loss_D_fake -0.000921
[665/5000][405/535][68467] Loss_D: -0.023069 Loss_G: 0.011888 Loss_D_real: -0.020618 Loss_D_fake 0.002451
[665/5000][410/535][68468] Loss_D: -0.023220 Loss_G: 0.035746 Loss_D_real: -0.032114 Loss_D_fake -0.008894
[665/5000][415/535][68469] Loss_D: -0.024444 Loss_G: -0.012317 Loss_D_real: 0.004118 Loss_D_fake 0.028562
[665/5000][420/535][68470] Loss_D: -0.023077 Loss_G: 0.012980 Loss_D_real: -0.017147 Loss_D_fake 0.005930
[665/5000][425/535][68471] Loss_D: -0.024040 Loss_G: 0.001453 Loss_D_real: -0.015235 Loss_D_fake 0.008805
[665/5000][430/535][68472] Loss_D: -0.024853 Loss_G: 0.028066 Loss_D_real: -0.021758 Loss_D_fake 0.003095
[665/5000][435/535][68473] Loss_D: -0.023694 Loss_G: 0.017987 Loss_D_real: -0.010722 Loss_D_fake 0.012972
[665/5000][440/535][68474] Loss_D: -0.024117 Loss_G: 0.006684 Loss_D_real: -0.018990 Loss_D_fake 0.005127
[665/5000][445/535][68475] Loss_D: -0.024285 Loss_G: 0.016052 Loss_D_real: -0.022266 Loss_D_fake 0.002019
[665/5000][450/535][68476] Loss_D: -0.024427 Loss_G: 0.004106 Loss_D_real: -0.028527 Loss_D_fake -0.004100
[665/5000][455/535][68477] Loss_D: -0.024000 Loss_G: 0.001748 Loss_D_real: -0.016671 Loss_D_fake 0.007329
[665/5000][460/535][68478] Loss_D: -0.023646 Loss_G: 0.031844 Loss_D_real: -0.027022 Loss_D_fake -0.003376
[665/5000][465/535][68479] Loss_D: -0.024049 Loss_G: -0.000178 Loss_D_real: -0.015956 Loss_D_fake 0.008093
[665/5000][470/535][68480] Loss_D: -0.023995 Loss_G: 0.011287 Loss_D_real: -0.013302 Loss_D_fake 0.010693
[665/5000][475/535][68481] Loss_D: -0.023065 Loss_G: 0.018675 Loss_D_real: -0.014309 Loss_D_fake 0.008757
[665/5000][480/535][68482] Loss_D: -0.024320 Loss_G: 0.027498 Loss_D_real: -0.029984 Loss_D_fake -0.005663
[665/5000][485/535][68483] Loss_D: -0.024555 Loss_G: -0.001156 Loss_D_real: -0.017943 Loss_D_fake 0.006612
[665/5000][490/535][68484] Loss_D: -0.024309 Loss_G: 0.022926 Loss_D_real: -0.022450 Loss_D_fake 0.001859
[665/5000][495/535][68485] Loss_D: -0.024338 Loss_G: -0.006809 Loss_D_real: -0.007947 Loss_D_fake 0.016391
[665/5000][500/535][68486] Loss_D: -0.024316 Loss_G: 0.011772 Loss_D_real: -0.019059 Loss_D_fake 0.005256
[665/5000][505/535][68487] Loss_D: -0.024331 Loss_G: 0.028754 Loss_D_real: -0.019447 Loss_D_fake 0.004884
[665/5000][510/535][68488] Loss_D: -0.023887 Loss_G: 0.016882 Loss_D_real: -0.020510 Loss_D_fake 0.003377
[665/5000][515/535][68489] Loss_D: -0.025103 Loss_G: 0.018282 Loss_D_real: -0.014930 Loss_D_fake 0.010173
[665/5000][520/535][68490] Loss_D: -0.024404 Loss_G: -0.001175 Loss_D_real: -0.005678 Loss_D_fake 0.018726
[665/5000][525/535][68491] Loss_D: -0.023598 Loss_G: 0.013313 Loss_D_real: -0.010733 Loss_D_fake 0.012865
[665/5000][530/535][68492] Loss_D: -0.024561 Loss_G: 0.033612 Loss_D_real: -0.025880 Loss_D_fake -0.001320
[665/5000][535/535][68493] Loss_D: -0.023709 Loss_G: 0.016884 Loss_D_real: -0.022202 Loss_D_fake 0.001507
[666/5000][5/535][68494] Loss_D: -0.024851 Loss_G: 0.024866 Loss_D_real: -0.019530 Loss_D_fake 0.005321
[666/5000][10/535][68495] Loss_D: -0.024301 Loss_G: -0.016041 Loss_D_real: -0.004401 Loss_D_fake 0.019899
[666/5000][15/535][68496] Loss_D: -0.023862 Loss_G: 0.009020 Loss_D_real: -0.015200 Loss_D_fake 0.008662
[666/5000][20/535][68497] Loss_D: -0.023919 Loss_G: 0.001435 Loss_D_real: -0.009120 Loss_D_fake 0.014799
[666/5000][25/535][68498] Loss_D: -0.024204 Loss_G: 0.009007 Loss_D_real: -0.008608 Loss_D_fake 0.015596
[666/5000][30/535][68499] Loss_D: -0.024141 Loss_G: 0.014359 Loss_D_real: -0.027386 Loss_D_fake -0.003245
[666/5000][35/535][68500] Loss_D: -0.024147 Loss_G: 0.039067 Loss_D_real: -0.029499 Loss_D_fake -0.005352
[666/5000][135/535][68501] Loss_D: -0.027440 Loss_G: 0.006043 Loss_D_real: -0.009957 Loss_D_fake 0.017484
[666/5000][140/535][68502] Loss_D: -0.023873 Loss_G: 0.013559 Loss_D_real: -0.021514 Loss_D_fake 0.002359
[666/5000][145/535][68503] Loss_D: -0.021370 Loss_G: 0.014377 Loss_D_real: -0.017472 Loss_D_fake 0.003898
[666/5000][150/535][68504] Loss_D: -0.022351 Loss_G: 0.010307 Loss_D_real: -0.010766 Loss_D_fake 0.011585
[666/5000][155/535][68505] Loss_D: -0.022913 Loss_G: 0.015660 Loss_D_real: -0.013227 Loss_D_fake 0.009686
[666/5000][160/535][68506] Loss_D: -0.022714 Loss_G: -0.011834 Loss_D_real: -0.013145 Loss_D_fake 0.009570
[666/5000][165/535][68507] Loss_D: -0.022272 Loss_G: 0.000718 Loss_D_real: -0.010006 Loss_D_fake 0.012266
[666/5000][170/535][68508] Loss_D: -0.022727 Loss_G: 0.022859 Loss_D_real: -0.027477 Loss_D_fake -0.004750
[666/5000][175/535][68509] Loss_D: -0.023239 Loss_G: 0.024493 Loss_D_real: -0.026446 Loss_D_fake -0.003207
[666/5000][180/535][68510] Loss_D: -0.021188 Loss_G: -0.009969 Loss_D_real: 0.003291 Loss_D_fake 0.024479
[666/5000][185/535][68511] Loss_D: -0.023775 Loss_G: 0.007173 Loss_D_real: -0.017407 Loss_D_fake 0.006368
[666/5000][190/535][68512] Loss_D: -0.024519 Loss_G: 0.004409 Loss_D_real: -0.016837 Loss_D_fake 0.007682
[666/5000][195/535][68513] Loss_D: -0.023760 Loss_G: 0.021870 Loss_D_real: -0.024775 Loss_D_fake -0.001015
[666/5000][200/535][68514] Loss_D: -0.025003 Loss_G: 0.012836 Loss_D_real: -0.015110 Loss_D_fake 0.009893
[666/5000][205/535][68515] Loss_D: -0.025268 Loss_G: 0.013900 Loss_D_real: -0.013239 Loss_D_fake 0.012029
[666/5000][210/535][68516] Loss_D: -0.024331 Loss_G: 0.024319 Loss_D_real: -0.024819 Loss_D_fake -0.000488
[666/5000][215/535][68517] Loss_D: -0.022569 Loss_G: 0.031667 Loss_D_real: -0.025801 Loss_D_fake -0.003233
[666/5000][220/535][68518] Loss_D: -0.022649 Loss_G: 0.019393 Loss_D_real: -0.029259 Loss_D_fake -0.006610
[666/5000][225/535][68519] Loss_D: -0.025385 Loss_G: 0.001529 Loss_D_real: -0.013756 Loss_D_fake 0.011628
[666/5000][230/535][68520] Loss_D: -0.022919 Loss_G: 0.028039 Loss_D_real: -0.032845 Loss_D_fake -0.009926
[666/5000][235/535][68521] Loss_D: -0.024139 Loss_G: 0.007628 Loss_D_real: -0.025610 Loss_D_fake -0.001471
[666/5000][240/535][68522] Loss_D: -0.024822 Loss_G: 0.013552 Loss_D_real: -0.014731 Loss_D_fake 0.010091
[666/5000][245/535][68523] Loss_D: -0.023112 Loss_G: 0.012468 Loss_D_real: -0.023728 Loss_D_fake -0.000616
[666/5000][250/535][68524] Loss_D: -0.024515 Loss_G: 0.008578 Loss_D_real: -0.006886 Loss_D_fake 0.017628
[666/5000][255/535][68525] Loss_D: -0.024196 Loss_G: 0.015368 Loss_D_real: -0.023763 Loss_D_fake 0.000433
[666/5000][260/535][68526] Loss_D: -0.024605 Loss_G: 0.003410 Loss_D_real: -0.014108 Loss_D_fake 0.010497
[666/5000][265/535][68527] Loss_D: -0.024564 Loss_G: 0.015848 Loss_D_real: -0.015851 Loss_D_fake 0.008713
[666/5000][270/535][68528] Loss_D: -0.024174 Loss_G: -0.002793 Loss_D_real: -0.018806 Loss_D_fake 0.005368
[666/5000][275/535][68529] Loss_D: -0.024372 Loss_G: 0.025802 Loss_D_real: -0.020735 Loss_D_fake 0.003637
[666/5000][280/535][68530] Loss_D: -0.022729 Loss_G: -0.002944 Loss_D_real: 0.008608 Loss_D_fake 0.031337
[666/5000][285/535][68531] Loss_D: -0.023919 Loss_G: 0.022868 Loss_D_real: -0.019547 Loss_D_fake 0.004372
[666/5000][290/535][68532] Loss_D: -0.024444 Loss_G: 0.027221 Loss_D_real: -0.028455 Loss_D_fake -0.004011
[666/5000][295/535][68533] Loss_D: -0.024909 Loss_G: -0.014911 Loss_D_real: -0.003950 Loss_D_fake 0.020959
[666/5000][300/535][68534] Loss_D: -0.024291 Loss_G: 0.014083 Loss_D_real: -0.025215 Loss_D_fake -0.000924
[666/5000][305/535][68535] Loss_D: -0.024712 Loss_G: 0.005214 Loss_D_real: -0.013680 Loss_D_fake 0.011033
[666/5000][310/535][68536] Loss_D: -0.025376 Loss_G: 0.011865 Loss_D_real: -0.018743 Loss_D_fake 0.006633
[666/5000][315/535][68537] Loss_D: -0.023786 Loss_G: 0.031386 Loss_D_real: -0.027439 Loss_D_fake -0.003654
[666/5000][320/535][68538] Loss_D: -0.025105 Loss_G: -0.005124 Loss_D_real: -0.002757 Loss_D_fake 0.022348
[666/5000][325/535][68539] Loss_D: -0.025746 Loss_G: 0.007939 Loss_D_real: -0.017492 Loss_D_fake 0.008254
[666/5000][330/535][68540] Loss_D: -0.024039 Loss_G: 0.010743 Loss_D_real: -0.025494 Loss_D_fake -0.001455
[666/5000][335/535][68541] Loss_D: -0.025478 Loss_G: 0.002982 Loss_D_real: -0.011345 Loss_D_fake 0.014133
[666/5000][340/535][68542] Loss_D: -0.023464 Loss_G: 0.020888 Loss_D_real: -0.031306 Loss_D_fake -0.007843
[666/5000][345/535][68543] Loss_D: -0.024111 Loss_G: -0.001965 Loss_D_real: -0.017406 Loss_D_fake 0.006704
[666/5000][350/535][68544] Loss_D: -0.023775 Loss_G: 0.026828 Loss_D_real: -0.022964 Loss_D_fake 0.000811
[666/5000][355/535][68545] Loss_D: -0.024946 Loss_G: 0.020038 Loss_D_real: -0.022896 Loss_D_fake 0.002050
[666/5000][360/535][68546] Loss_D: -0.023407 Loss_G: 0.012764 Loss_D_real: -0.021348 Loss_D_fake 0.002059
[666/5000][365/535][68547] Loss_D: -0.023554 Loss_G: -0.016820 Loss_D_real: 0.001035 Loss_D_fake 0.024588
[666/5000][370/535][68548] Loss_D: -0.022004 Loss_G: 0.008590 Loss_D_real: -0.029252 Loss_D_fake -0.007248
[666/5000][375/535][68549] Loss_D: -0.024332 Loss_G: 0.010111 Loss_D_real: -0.018557 Loss_D_fake 0.005774
[666/5000][380/535][68550] Loss_D: -0.023234 Loss_G: 0.024777 Loss_D_real: -0.025807 Loss_D_fake -0.002573
[666/5000][385/535][68551] Loss_D: -0.025497 Loss_G: 0.017435 Loss_D_real: -0.022786 Loss_D_fake 0.002711
[666/5000][390/535][68552] Loss_D: -0.022812 Loss_G: 0.004638 Loss_D_real: -0.021090 Loss_D_fake 0.001722
[666/5000][395/535][68553] Loss_D: -0.023966 Loss_G: 0.022152 Loss_D_real: -0.018258 Loss_D_fake 0.005708
[666/5000][400/535][68554] Loss_D: -0.025282 Loss_G: 0.009071 Loss_D_real: -0.010283 Loss_D_fake 0.014998
[666/5000][405/535][68555] Loss_D: -0.021875 Loss_G: -0.005222 Loss_D_real: -0.004704 Loss_D_fake 0.017171
[666/5000][410/535][68556] Loss_D: -0.023643 Loss_G: -0.000135 Loss_D_real: -0.018504 Loss_D_fake 0.005139
[666/5000][415/535][68557] Loss_D: -0.022771 Loss_G: 0.008679 Loss_D_real: -0.018647 Loss_D_fake 0.004124
[666/5000][420/535][68558] Loss_D: -0.023888 Loss_G: 0.014664 Loss_D_real: -0.014451 Loss_D_fake 0.009436
[666/5000][425/535][68559] Loss_D: -0.024068 Loss_G: 0.000483 Loss_D_real: -0.011631 Loss_D_fake 0.012437
[666/5000][430/535][68560] Loss_D: -0.023968 Loss_G: -0.006488 Loss_D_real: -0.008745 Loss_D_fake 0.015223
[666/5000][435/535][68561] Loss_D: -0.025139 Loss_G: 0.016535 Loss_D_real: -0.012398 Loss_D_fake 0.012741
[666/5000][440/535][68562] Loss_D: -0.023306 Loss_G: 0.027224 Loss_D_real: -0.027847 Loss_D_fake -0.004541
[666/5000][445/535][68563] Loss_D: -0.024373 Loss_G: 0.006900 Loss_D_real: -0.019518 Loss_D_fake 0.004855
[666/5000][450/535][68564] Loss_D: -0.024625 Loss_G: 0.013033 Loss_D_real: -0.021100 Loss_D_fake 0.003525
[666/5000][455/535][68565] Loss_D: -0.024399 Loss_G: 0.021918 Loss_D_real: -0.011750 Loss_D_fake 0.012649
[666/5000][460/535][68566] Loss_D: -0.025872 Loss_G: 0.002011 Loss_D_real: -0.013598 Loss_D_fake 0.012274
[666/5000][465/535][68567] Loss_D: -0.024790 Loss_G: -0.003615 Loss_D_real: -0.011445 Loss_D_fake 0.013345
[666/5000][470/535][68568] Loss_D: -0.024816 Loss_G: 0.016243 Loss_D_real: -0.016548 Loss_D_fake 0.008268
[666/5000][475/535][68569] Loss_D: -0.025439 Loss_G: 0.015933 Loss_D_real: -0.020541 Loss_D_fake 0.004898
[666/5000][480/535][68570] Loss_D: -0.024556 Loss_G: 0.013751 Loss_D_real: -0.022165 Loss_D_fake 0.002391
[666/5000][485/535][68571] Loss_D: -0.024287 Loss_G: 0.002939 Loss_D_real: -0.008811 Loss_D_fake 0.015476
[666/5000][490/535][68572] Loss_D: -0.023781 Loss_G: 0.008870 Loss_D_real: -0.002555 Loss_D_fake 0.021226
[666/5000][495/535][68573] Loss_D: -0.023244 Loss_G: 0.018897 Loss_D_real: -0.033638 Loss_D_fake -0.010393
[666/5000][500/535][68574] Loss_D: -0.023918 Loss_G: -0.014901 Loss_D_real: -0.004657 Loss_D_fake 0.019261
[666/5000][505/535][68575] Loss_D: -0.022508 Loss_G: 0.024325 Loss_D_real: -0.033648 Loss_D_fake -0.011140
[666/5000][510/535][68576] Loss_D: -0.024650 Loss_G: 0.025605 Loss_D_real: -0.020555 Loss_D_fake 0.004095
[666/5000][515/535][68577] Loss_D: -0.022221 Loss_G: -0.015690 Loss_D_real: 0.003633 Loss_D_fake 0.025853
[666/5000][520/535][68578] Loss_D: -0.023491 Loss_G: 0.017664 Loss_D_real: -0.028962 Loss_D_fake -0.005472
[666/5000][525/535][68579] Loss_D: -0.023653 Loss_G: 0.007150 Loss_D_real: -0.003194 Loss_D_fake 0.020459
[666/5000][530/535][68580] Loss_D: -0.024093 Loss_G: 0.016318 Loss_D_real: -0.027123 Loss_D_fake -0.003030
[666/5000][535/535][68581] Loss_D: -0.020911 Loss_G: 0.036172 Loss_D_real: -0.015840 Loss_D_fake 0.005071
[667/5000][5/535][68582] Loss_D: -0.024922 Loss_G: 0.012985 Loss_D_real: -0.019262 Loss_D_fake 0.005660
[667/5000][10/535][68583] Loss_D: -0.025638 Loss_G: 0.007315 Loss_D_real: -0.012438 Loss_D_fake 0.013200
[667/5000][15/535][68584] Loss_D: -0.025393 Loss_G: 0.021016 Loss_D_real: -0.010367 Loss_D_fake 0.015027
[667/5000][20/535][68585] Loss_D: -0.023921 Loss_G: 0.004179 Loss_D_real: -0.015045 Loss_D_fake 0.008876
[667/5000][25/535][68586] Loss_D: -0.024671 Loss_G: 0.013667 Loss_D_real: -0.012749 Loss_D_fake 0.011922
[667/5000][30/535][68587] Loss_D: -0.023620 Loss_G: -0.002421 Loss_D_real: 0.000105 Loss_D_fake 0.023724
[667/5000][35/535][68588] Loss_D: -0.023896 Loss_G: 0.023221 Loss_D_real: -0.029361 Loss_D_fake -0.005464
[667/5000][40/535][68589] Loss_D: -0.025266 Loss_G: 0.033050 Loss_D_real: -0.036804 Loss_D_fake -0.011538
[667/5000][45/535][68590] Loss_D: -0.025672 Loss_G: 0.007656 Loss_D_real: -0.012571 Loss_D_fake 0.013102
[667/5000][50/535][68591] Loss_D: -0.021896 Loss_G: 0.030298 Loss_D_real: -0.030743 Loss_D_fake -0.008848
[667/5000][55/535][68592] Loss_D: -0.024011 Loss_G: -0.007948 Loss_D_real: -0.003674 Loss_D_fake 0.020336
[667/5000][60/535][68593] Loss_D: -0.024771 Loss_G: 0.011219 Loss_D_real: -0.019144 Loss_D_fake 0.005627
[667/5000][65/535][68594] Loss_D: -0.023609 Loss_G: -0.004753 Loss_D_real: -0.001564 Loss_D_fake 0.022045
[667/5000][70/535][68595] Loss_D: -0.022318 Loss_G: 0.022997 Loss_D_real: -0.016989 Loss_D_fake 0.005328
[667/5000][75/535][68596] Loss_D: -0.023929 Loss_G: 0.026004 Loss_D_real: -0.019571 Loss_D_fake 0.004359
[667/5000][80/535][68597] Loss_D: -0.023810 Loss_G: -0.002941 Loss_D_real: -0.007504 Loss_D_fake 0.016306
[667/5000][85/535][68598] Loss_D: -0.024933 Loss_G: 0.016677 Loss_D_real: -0.020763 Loss_D_fake 0.004170
[667/5000][90/535][68599] Loss_D: -0.025066 Loss_G: 0.015437 Loss_D_real: -0.009389 Loss_D_fake 0.015677
[667/5000][95/535][68600] Loss_D: -0.024099 Loss_G: 0.017629 Loss_D_real: -0.021212 Loss_D_fake 0.002887
[667/5000][100/535][68601] Loss_D: -0.024704 Loss_G: 0.000846 Loss_D_real: -0.007550 Loss_D_fake 0.017155
[667/5000][105/535][68602] Loss_D: -0.024388 Loss_G: -0.001980 Loss_D_real: -0.012563 Loss_D_fake 0.011825
[667/5000][110/535][68603] Loss_D: -0.024979 Loss_G: 0.019838 Loss_D_real: -0.022588 Loss_D_fake 0.002391
[667/5000][115/535][68604] Loss_D: -0.023456 Loss_G: 0.014203 Loss_D_real: -0.020057 Loss_D_fake 0.003399
[667/5000][120/535][68605] Loss_D: -0.024352 Loss_G: 0.015317 Loss_D_real: -0.018239 Loss_D_fake 0.006113
[667/5000][125/535][68606] Loss_D: -0.024747 Loss_G: -0.006602 Loss_D_real: 0.005500 Loss_D_fake 0.030247
[667/5000][130/535][68607] Loss_D: -0.024454 Loss_G: -0.004712 Loss_D_real: -0.008530 Loss_D_fake 0.015924
[667/5000][135/535][68608] Loss_D: -0.024549 Loss_G: 0.020909 Loss_D_real: -0.018841 Loss_D_fake 0.005708
[667/5000][140/535][68609] Loss_D: -0.023232 Loss_G: -0.014617 Loss_D_real: 0.003441 Loss_D_fake 0.026673
[667/5000][145/535][68610] Loss_D: -0.024829 Loss_G: 0.012922 Loss_D_real: -0.010663 Loss_D_fake 0.014166
[667/5000][150/535][68611] Loss_D: -0.024229 Loss_G: 0.006153 Loss_D_real: -0.014422 Loss_D_fake 0.009807
[667/5000][155/535][68612] Loss_D: -0.024592 Loss_G: -0.003245 Loss_D_real: -0.004241 Loss_D_fake 0.020351
[667/5000][160/535][68613] Loss_D: -0.022838 Loss_G: 0.020770 Loss_D_real: -0.033393 Loss_D_fake -0.010555
[667/5000][165/535][68614] Loss_D: -0.025472 Loss_G: 0.014176 Loss_D_real: -0.017333 Loss_D_fake 0.008139
[667/5000][170/535][68615] Loss_D: -0.024461 Loss_G: -0.001413 Loss_D_real: -0.010177 Loss_D_fake 0.014284
[667/5000][175/535][68616] Loss_D: -0.024290 Loss_G: 0.013471 Loss_D_real: -0.025321 Loss_D_fake -0.001031
[667/5000][180/535][68617] Loss_D: -0.024065 Loss_G: 0.002402 Loss_D_real: -0.024225 Loss_D_fake -0.000159
[667/5000][185/535][68618] Loss_D: -0.023314 Loss_G: 0.012090 Loss_D_real: -0.009251 Loss_D_fake 0.014063
[667/5000][190/535][68619] Loss_D: -0.024303 Loss_G: -0.008210 Loss_D_real: -0.001826 Loss_D_fake 0.022476
[667/5000][195/535][68620] Loss_D: -0.024608 Loss_G: 0.011312 Loss_D_real: -0.019478 Loss_D_fake 0.005130
[667/5000][200/535][68621] Loss_D: -0.024291 Loss_G: 0.011151 Loss_D_real: -0.011738 Loss_D_fake 0.012553
[667/5000][205/535][68622] Loss_D: -0.024898 Loss_G: 0.007773 Loss_D_real: -0.008582 Loss_D_fake 0.016316
[667/5000][210/535][68623] Loss_D: -0.021533 Loss_G: 0.027847 Loss_D_real: -0.038087 Loss_D_fake -0.016553
[667/5000][215/535][68624] Loss_D: -0.023413 Loss_G: -0.011631 Loss_D_real: 0.005953 Loss_D_fake 0.029367
[667/5000][220/535][68625] Loss_D: -0.024739 Loss_G: 0.022301 Loss_D_real: -0.014982 Loss_D_fake 0.009758
[667/5000][225/535][68626] Loss_D: -0.023757 Loss_G: 0.005507 Loss_D_real: -0.014989 Loss_D_fake 0.008769
[667/5000][230/535][68627] Loss_D: -0.023826 Loss_G: 0.012738 Loss_D_real: -0.013063 Loss_D_fake 0.010763
[667/5000][235/535][68628] Loss_D: -0.024665 Loss_G: 0.008388 Loss_D_real: -0.015120 Loss_D_fake 0.009545
[667/5000][240/535][68629] Loss_D: -0.023386 Loss_G: 0.014942 Loss_D_real: -0.012242 Loss_D_fake 0.011145
[667/5000][245/535][68630] Loss_D: -0.022779 Loss_G: -0.009659 Loss_D_real: 0.007717 Loss_D_fake 0.030496
[667/5000][250/535][68631] Loss_D: -0.023749 Loss_G: 0.015127 Loss_D_real: -0.018115 Loss_D_fake 0.005635
[667/5000][255/535][68632] Loss_D: -0.024292 Loss_G: 0.007611 Loss_D_real: -0.009240 Loss_D_fake 0.015052
[667/5000][260/535][68633] Loss_D: -0.024868 Loss_G: 0.007835 Loss_D_real: -0.006421 Loss_D_fake 0.018447
[667/5000][265/535][68634] Loss_D: -0.024923 Loss_G: 0.018580 Loss_D_real: -0.016750 Loss_D_fake 0.008172
[667/5000][270/535][68635] Loss_D: -0.024984 Loss_G: 0.023097 Loss_D_real: -0.026573 Loss_D_fake -0.001590
[667/5000][275/535][68636] Loss_D: -0.025141 Loss_G: 0.011723 Loss_D_real: -0.013368 Loss_D_fake 0.011773
[667/5000][280/535][68637] Loss_D: -0.022759 Loss_G: -0.015911 Loss_D_real: 0.000601 Loss_D_fake 0.023360
[667/5000][285/535][68638] Loss_D: -0.022533 Loss_G: 0.004085 Loss_D_real: -0.024377 Loss_D_fake -0.001844
[667/5000][290/535][68639] Loss_D: -0.025362 Loss_G: 0.006313 Loss_D_real: -0.017145 Loss_D_fake 0.008217
[667/5000][295/535][68640] Loss_D: -0.024175 Loss_G: 0.027327 Loss_D_real: -0.032076 Loss_D_fake -0.007901
[667/5000][300/535][68641] Loss_D: -0.025258 Loss_G: 0.023005 Loss_D_real: -0.021579 Loss_D_fake 0.003680
[667/5000][305/535][68642] Loss_D: -0.025341 Loss_G: 0.014665 Loss_D_real: -0.023893 Loss_D_fake 0.001447
[667/5000][310/535][68643] Loss_D: -0.024885 Loss_G: 0.004406 Loss_D_real: 0.000060 Loss_D_fake 0.024945
[667/5000][315/535][68644] Loss_D: -0.024548 Loss_G: 0.021969 Loss_D_real: -0.026227 Loss_D_fake -0.001679
[667/5000][320/535][68645] Loss_D: -0.025395 Loss_G: -0.009932 Loss_D_real: -0.001988 Loss_D_fake 0.023407
[667/5000][325/535][68646] Loss_D: -0.024485 Loss_G: 0.010236 Loss_D_real: -0.022819 Loss_D_fake 0.001666
[667/5000][330/535][68647] Loss_D: -0.022821 Loss_G: -0.002133 Loss_D_real: -0.000898 Loss_D_fake 0.021923
[667/5000][335/535][68648] Loss_D: -0.023995 Loss_G: 0.016470 Loss_D_real: -0.011702 Loss_D_fake 0.012293
[667/5000][340/535][68649] Loss_D: -0.023540 Loss_G: -0.003491 Loss_D_real: 0.009212 Loss_D_fake 0.032753
[667/5000][345/535][68650] Loss_D: -0.024255 Loss_G: 0.031647 Loss_D_real: -0.027503 Loss_D_fake -0.003248
[667/5000][350/535][68651] Loss_D: -0.023568 Loss_G: -0.008656 Loss_D_real: 0.003010 Loss_D_fake 0.026578
[667/5000][355/535][68652] Loss_D: -0.024901 Loss_G: 0.016446 Loss_D_real: -0.008737 Loss_D_fake 0.016164
[667/5000][360/535][68653] Loss_D: -0.024606 Loss_G: 0.003362 Loss_D_real: -0.011539 Loss_D_fake 0.013067
[667/5000][365/535][68654] Loss_D: -0.022924 Loss_G: 0.007878 Loss_D_real: -0.012959 Loss_D_fake 0.009966
[667/5000][370/535][68655] Loss_D: -0.025086 Loss_G: 0.000347 Loss_D_real: -0.019743 Loss_D_fake 0.005344
[667/5000][375/535][68656] Loss_D: -0.023801 Loss_G: 0.024934 Loss_D_real: -0.027565 Loss_D_fake -0.003764
[667/5000][380/535][68657] Loss_D: -0.024629 Loss_G: -0.002102 Loss_D_real: -0.009141 Loss_D_fake 0.015488
[667/5000][385/535][68658] Loss_D: -0.023702 Loss_G: 0.011295 Loss_D_real: -0.019594 Loss_D_fake 0.004108
[667/5000][390/535][68659] Loss_D: -0.024229 Loss_G: -0.002931 Loss_D_real: -0.007701 Loss_D_fake 0.016529
[667/5000][395/535][68660] Loss_D: -0.023724 Loss_G: 0.033730 Loss_D_real: -0.028967 Loss_D_fake -0.005242
[667/5000][400/535][68661] Loss_D: -0.024562 Loss_G: 0.020551 Loss_D_real: -0.022729 Loss_D_fake 0.001833
[667/5000][405/535][68662] Loss_D: -0.024901 Loss_G: 0.016773 Loss_D_real: -0.011002 Loss_D_fake 0.013899
[667/5000][410/535][68663] Loss_D: -0.023985 Loss_G: 0.002153 Loss_D_real: -0.006163 Loss_D_fake 0.017822
[667/5000][415/535][68664] Loss_D: -0.023024 Loss_G: -0.005027 Loss_D_real: -0.008514 Loss_D_fake 0.014511
[667/5000][420/535][68665] Loss_D: -0.023324 Loss_G: 0.013922 Loss_D_real: -0.027947 Loss_D_fake -0.004623
[667/5000][425/535][68666] Loss_D: -0.025110 Loss_G: 0.013909 Loss_D_real: -0.012128 Loss_D_fake 0.012982
[667/5000][430/535][68667] Loss_D: -0.023508 Loss_G: -0.003088 Loss_D_real: -0.004997 Loss_D_fake 0.018511
[667/5000][435/535][68668] Loss_D: -0.023823 Loss_G: 0.000886 Loss_D_real: -0.009784 Loss_D_fake 0.014039
[667/5000][440/535][68669] Loss_D: -0.022375 Loss_G: -0.010509 Loss_D_real: -0.006376 Loss_D_fake 0.015999
[667/5000][445/535][68670] Loss_D: -0.024874 Loss_G: 0.020199 Loss_D_real: -0.023635 Loss_D_fake 0.001238
[667/5000][450/535][68671] Loss_D: -0.024269 Loss_G: 0.019184 Loss_D_real: -0.024191 Loss_D_fake 0.000078
[667/5000][455/535][68672] Loss_D: -0.023993 Loss_G: 0.004375 Loss_D_real: -0.014869 Loss_D_fake 0.009124
[667/5000][460/535][68673] Loss_D: -0.025684 Loss_G: 0.028249 Loss_D_real: -0.014633 Loss_D_fake 0.011051
[667/5000][465/535][68674] Loss_D: -0.024639 Loss_G: 0.012418 Loss_D_real: -0.018650 Loss_D_fake 0.005989
[667/5000][470/535][68675] Loss_D: -0.024540 Loss_G: 0.020349 Loss_D_real: -0.020359 Loss_D_fake 0.004181
[667/5000][475/535][68676] Loss_D: -0.024113 Loss_G: 0.006788 Loss_D_real: -0.011517 Loss_D_fake 0.012596
[667/5000][480/535][68677] Loss_D: -0.022937 Loss_G: 0.022102 Loss_D_real: -0.034709 Loss_D_fake -0.011772
[667/5000][485/535][68678] Loss_D: -0.024413 Loss_G: 0.009409 Loss_D_real: -0.015267 Loss_D_fake 0.009146
[667/5000][490/535][68679] Loss_D: -0.023151 Loss_G: 0.028159 Loss_D_real: -0.019837 Loss_D_fake 0.003315
[667/5000][495/535][68680] Loss_D: -0.022902 Loss_G: 0.024822 Loss_D_real: -0.026566 Loss_D_fake -0.003663
[667/5000][500/535][68681] Loss_D: -0.025232 Loss_G: 0.023080 Loss_D_real: -0.030084 Loss_D_fake -0.004852
[667/5000][505/535][68682] Loss_D: -0.025723 Loss_G: 0.011904 Loss_D_real: -0.022334 Loss_D_fake 0.003389
[667/5000][510/535][68683] Loss_D: -0.025178 Loss_G: 0.015150 Loss_D_real: -0.016983 Loss_D_fake 0.008196
[667/5000][515/535][68684] Loss_D: -0.024568 Loss_G: 0.016062 Loss_D_real: -0.024734 Loss_D_fake -0.000166
[667/5000][520/535][68685] Loss_D: -0.023571 Loss_G: 0.000797 Loss_D_real: -0.007378 Loss_D_fake 0.016193
[667/5000][525/535][68686] Loss_D: -0.022792 Loss_G: 0.020005 Loss_D_real: -0.014494 Loss_D_fake 0.008298
[667/5000][530/535][68687] Loss_D: -0.023005 Loss_G: 0.003302 Loss_D_real: -0.003801 Loss_D_fake 0.019203
[667/5000][535/535][68688] Loss_D: -0.024082 Loss_G: 0.036975 Loss_D_real: -0.020423 Loss_D_fake 0.003659
[668/5000][5/535][68689] Loss_D: -0.023751 Loss_G: -0.017515 Loss_D_real: 0.007631 Loss_D_fake 0.031382
[668/5000][10/535][68690] Loss_D: -0.023817 Loss_G: 0.003396 Loss_D_real: -0.008985 Loss_D_fake 0.014832
[668/5000][15/535][68691] Loss_D: -0.022476 Loss_G: 0.025762 Loss_D_real: -0.030993 Loss_D_fake -0.008517
[668/5000][20/535][68692] Loss_D: -0.023681 Loss_G: -0.005210 Loss_D_real: -0.010177 Loss_D_fake 0.013504
[668/5000][25/535][68693] Loss_D: -0.025907 Loss_G: 0.018912 Loss_D_real: -0.015167 Loss_D_fake 0.010740
[668/5000][30/535][68694] Loss_D: -0.023560 Loss_G: 0.005937 Loss_D_real: -0.019767 Loss_D_fake 0.003793
[668/5000][35/535][68695] Loss_D: -0.024213 Loss_G: 0.009635 Loss_D_real: -0.018210 Loss_D_fake 0.006002
[668/5000][40/535][68696] Loss_D: -0.024283 Loss_G: 0.020442 Loss_D_real: -0.021488 Loss_D_fake 0.002795
[668/5000][45/535][68697] Loss_D: -0.024483 Loss_G: 0.007839 Loss_D_real: -0.022090 Loss_D_fake 0.002393
[668/5000][50/535][68698] Loss_D: -0.023857 Loss_G: 0.024242 Loss_D_real: -0.034393 Loss_D_fake -0.010536
[668/5000][55/535][68699] Loss_D: -0.023851 Loss_G: 0.007089 Loss_D_real: -0.017827 Loss_D_fake 0.006023
[668/5000][60/535][68700] Loss_D: -0.025747 Loss_G: 0.013022 Loss_D_real: -0.008391 Loss_D_fake 0.017356
[668/5000][65/535][68701] Loss_D: -0.023644 Loss_G: 0.004711 Loss_D_real: -0.016365 Loss_D_fake 0.007280
[668/5000][70/535][68702] Loss_D: -0.021957 Loss_G: 0.019020 Loss_D_real: -0.031920 Loss_D_fake -0.009963
[668/5000][75/535][68703] Loss_D: -0.024034 Loss_G: 0.010474 Loss_D_real: -0.018130 Loss_D_fake 0.005903
[668/5000][80/535][68704] Loss_D: -0.023287 Loss_G: 0.007203 Loss_D_real: -0.022400 Loss_D_fake 0.000887
[668/5000][85/535][68705] Loss_D: -0.023659 Loss_G: -0.004542 Loss_D_real: -0.002554 Loss_D_fake 0.021105
[668/5000][90/535][68706] Loss_D: -0.024602 Loss_G: -0.000630 Loss_D_real: -0.004451 Loss_D_fake 0.020151
[668/5000][95/535][68707] Loss_D: -0.023558 Loss_G: 0.012891 Loss_D_real: -0.023276 Loss_D_fake 0.000282
[668/5000][100/535][68708] Loss_D: -0.024101 Loss_G: 0.009024 Loss_D_real: -0.009537 Loss_D_fake 0.014564
[668/5000][105/535][68709] Loss_D: -0.023604 Loss_G: -0.009366 Loss_D_real: -0.017787 Loss_D_fake 0.005816
[668/5000][110/535][68710] Loss_D: -0.021979 Loss_G: 0.038633 Loss_D_real: -0.031045 Loss_D_fake -0.009067
[668/5000][115/535][68711] Loss_D: -0.024537 Loss_G: 0.007542 Loss_D_real: -0.003156 Loss_D_fake 0.021381
[668/5000][120/535][68712] Loss_D: -0.022243 Loss_G: -0.008785 Loss_D_real: 0.000658 Loss_D_fake 0.022901
[668/5000][125/535][68713] Loss_D: -0.022929 Loss_G: 0.015222 Loss_D_real: -0.025346 Loss_D_fake -0.002417
[668/5000][130/535][68714] Loss_D: -0.023777 Loss_G: 0.000839 Loss_D_real: -0.017377 Loss_D_fake 0.006400
[668/5000][135/535][68715] Loss_D: -0.024639 Loss_G: 0.011782 Loss_D_real: -0.008935 Loss_D_fake 0.015704
[668/5000][140/535][68716] Loss_D: -0.022689 Loss_G: 0.029429 Loss_D_real: -0.029385 Loss_D_fake -0.006696
[668/5000][145/535][68717] Loss_D: -0.024530 Loss_G: 0.006194 Loss_D_real: -0.012504 Loss_D_fake 0.012026
[668/5000][150/535][68718] Loss_D: -0.023942 Loss_G: 0.016472 Loss_D_real: -0.024986 Loss_D_fake -0.001044
[668/5000][155/535][68719] Loss_D: -0.024926 Loss_G: 0.014978 Loss_D_real: -0.013896 Loss_D_fake 0.011030
[668/5000][160/535][68720] Loss_D: -0.024031 Loss_G: 0.020819 Loss_D_real: -0.028921 Loss_D_fake -0.004890
[668/5000][165/535][68721] Loss_D: -0.024460 Loss_G: 0.017570 Loss_D_real: -0.021583 Loss_D_fake 0.002877
[668/5000][170/535][68722] Loss_D: -0.025641 Loss_G: 0.017142 Loss_D_real: -0.017907 Loss_D_fake 0.007735
[668/5000][175/535][68723] Loss_D: -0.024369 Loss_G: 0.020476 Loss_D_real: -0.024597 Loss_D_fake -0.000228
[668/5000][180/535][68724] Loss_D: -0.024133 Loss_G: -0.002667 Loss_D_real: -0.006901 Loss_D_fake 0.017232
[668/5000][185/535][68725] Loss_D: -0.024281 Loss_G: 0.006264 Loss_D_real: -0.022205 Loss_D_fake 0.002075
[668/5000][190/535][68726] Loss_D: -0.025585 Loss_G: 0.005938 Loss_D_real: -0.013226 Loss_D_fake 0.012359
[668/5000][195/535][68727] Loss_D: -0.024368 Loss_G: 0.015013 Loss_D_real: -0.012589 Loss_D_fake 0.011779
[668/5000][200/535][68728] Loss_D: -0.024495 Loss_G: 0.002949 Loss_D_real: -0.009563 Loss_D_fake 0.014933
[668/5000][205/535][68729] Loss_D: -0.024330 Loss_G: 0.022849 Loss_D_real: -0.020551 Loss_D_fake 0.003779
[668/5000][210/535][68730] Loss_D: -0.024956 Loss_G: 0.031320 Loss_D_real: -0.027943 Loss_D_fake -0.002987
[668/5000][215/535][68731] Loss_D: -0.024637 Loss_G: 0.018796 Loss_D_real: -0.032004 Loss_D_fake -0.007367
[668/5000][220/535][68732] Loss_D: -0.024764 Loss_G: 0.006076 Loss_D_real: -0.010927 Loss_D_fake 0.013837
[668/5000][225/535][68733] Loss_D: -0.022839 Loss_G: -0.017077 Loss_D_real: -0.005492 Loss_D_fake 0.017348
[668/5000][230/535][68734] Loss_D: -0.022423 Loss_G: 0.030332 Loss_D_real: -0.031254 Loss_D_fake -0.008831
[668/5000][235/535][68735] Loss_D: -0.024220 Loss_G: 0.000703 Loss_D_real: -0.011004 Loss_D_fake 0.013216
[668/5000][240/535][68736] Loss_D: -0.023914 Loss_G: 0.013515 Loss_D_real: -0.022763 Loss_D_fake 0.001151
[668/5000][245/535][68737] Loss_D: -0.025370 Loss_G: 0.006509 Loss_D_real: -0.006931 Loss_D_fake 0.018438
[668/5000][250/535][68738] Loss_D: -0.024775 Loss_G: 0.010166 Loss_D_real: -0.012543 Loss_D_fake 0.012232
[668/5000][255/535][68739] Loss_D: -0.023644 Loss_G: 0.012324 Loss_D_real: -0.016753 Loss_D_fake 0.006891
[668/5000][260/535][68740] Loss_D: -0.024449 Loss_G: 0.010632 Loss_D_real: -0.011005 Loss_D_fake 0.013444
[668/5000][265/535][68741] Loss_D: -0.024117 Loss_G: 0.019842 Loss_D_real: -0.029810 Loss_D_fake -0.005693
[668/5000][270/535][68742] Loss_D: -0.024722 Loss_G: 0.013178 Loss_D_real: -0.017645 Loss_D_fake 0.007077
[668/5000][275/535][68743] Loss_D: -0.025483 Loss_G: 0.004733 Loss_D_real: -0.009425 Loss_D_fake 0.016058
[668/5000][280/535][68744] Loss_D: -0.024787 Loss_G: 0.015022 Loss_D_real: -0.010717 Loss_D_fake 0.014070
[668/5000][285/535][68745] Loss_D: -0.025809 Loss_G: 0.010851 Loss_D_real: -0.016941 Loss_D_fake 0.008867
[668/5000][290/535][68746] Loss_D: -0.025612 Loss_G: 0.013944 Loss_D_real: -0.016410 Loss_D_fake 0.009202
[668/5000][295/535][68747] Loss_D: -0.023878 Loss_G: 0.025524 Loss_D_real: -0.032379 Loss_D_fake -0.008501
[668/5000][300/535][68748] Loss_D: -0.024463 Loss_G: 0.005904 Loss_D_real: -0.013608 Loss_D_fake 0.010855
[668/5000][305/535][68749] Loss_D: -0.024491 Loss_G: 0.007756 Loss_D_real: -0.023640 Loss_D_fake 0.000850
[668/5000][310/535][68750] Loss_D: -0.023761 Loss_G: 0.006455 Loss_D_real: -0.008102 Loss_D_fake 0.015659
[668/5000][315/535][68751] Loss_D: -0.024397 Loss_G: 0.021208 Loss_D_real: -0.019658 Loss_D_fake 0.004740
[668/5000][320/535][68752] Loss_D: -0.021430 Loss_G: -0.015701 Loss_D_real: 0.014415 Loss_D_fake 0.035846
[668/5000][325/535][68753] Loss_D: -0.022343 Loss_G: 0.017391 Loss_D_real: -0.029588 Loss_D_fake -0.007245
[668/5000][330/535][68754] Loss_D: -0.024006 Loss_G: 0.008369 Loss_D_real: -0.007004 Loss_D_fake 0.017002
[668/5000][335/535][68755] Loss_D: -0.024559 Loss_G: 0.023543 Loss_D_real: -0.024136 Loss_D_fake 0.000423
[668/5000][340/535][68756] Loss_D: -0.023747 Loss_G: 0.013692 Loss_D_real: -0.026473 Loss_D_fake -0.002726
[668/5000][345/535][68757] Loss_D: -0.024732 Loss_G: 0.007678 Loss_D_real: -0.007224 Loss_D_fake 0.017508
[668/5000][350/535][68758] Loss_D: -0.024555 Loss_G: 0.036594 Loss_D_real: -0.027603 Loss_D_fake -0.003049
[668/5000][355/535][68759] Loss_D: -0.023268 Loss_G: -0.006813 Loss_D_real: -0.009713 Loss_D_fake 0.013555
[668/5000][360/535][68760] Loss_D: -0.023362 Loss_G: -0.011539 Loss_D_real: -0.003604 Loss_D_fake 0.019758
[668/5000][365/535][68761] Loss_D: -0.023498 Loss_G: 0.030016 Loss_D_real: -0.031604 Loss_D_fake -0.008106
[668/5000][370/535][68762] Loss_D: -0.024902 Loss_G: 0.008171 Loss_D_real: -0.014679 Loss_D_fake 0.010223
[668/5000][375/535][68763] Loss_D: -0.023982 Loss_G: 0.011636 Loss_D_real: -0.019619 Loss_D_fake 0.004363
[668/5000][380/535][68764] Loss_D: -0.023529 Loss_G: 0.022412 Loss_D_real: -0.027646 Loss_D_fake -0.004117
[668/5000][385/535][68765] Loss_D: -0.024935 Loss_G: 0.017294 Loss_D_real: -0.012445 Loss_D_fake 0.012490
[668/5000][390/535][68766] Loss_D: -0.024564 Loss_G: 0.006825 Loss_D_real: -0.019741 Loss_D_fake 0.004823
[668/5000][395/535][68767] Loss_D: -0.024030 Loss_G: 0.022026 Loss_D_real: -0.015217 Loss_D_fake 0.008813
[668/5000][400/535][68768] Loss_D: -0.023419 Loss_G: -0.008163 Loss_D_real: -0.004469 Loss_D_fake 0.018950
[668/5000][405/535][68769] Loss_D: -0.023964 Loss_G: 0.013738 Loss_D_real: -0.019328 Loss_D_fake 0.004636
[668/5000][410/535][68770] Loss_D: -0.023342 Loss_G: 0.015854 Loss_D_real: -0.028056 Loss_D_fake -0.004713
[668/5000][415/535][68771] Loss_D: -0.024774 Loss_G: 0.010037 Loss_D_real: -0.017580 Loss_D_fake 0.007194
[668/5000][420/535][68772] Loss_D: -0.024864 Loss_G: 0.000809 Loss_D_real: -0.008328 Loss_D_fake 0.016537
[668/5000][425/535][68773] Loss_D: -0.022220 Loss_G: 0.016637 Loss_D_real: -0.012938 Loss_D_fake 0.009282
[668/5000][430/535][68774] Loss_D: -0.023173 Loss_G: 0.017648 Loss_D_real: -0.029092 Loss_D_fake -0.005919
[668/5000][435/535][68775] Loss_D: -0.023559 Loss_G: 0.022539 Loss_D_real: -0.041633 Loss_D_fake -0.018074
[668/5000][440/535][68776] Loss_D: -0.026626 Loss_G: -0.003122 Loss_D_real: -0.010771 Loss_D_fake 0.015855
[668/5000][445/535][68777] Loss_D: -0.024744 Loss_G: 0.014503 Loss_D_real: -0.021644 Loss_D_fake 0.003100
[668/5000][450/535][68778] Loss_D: -0.024706 Loss_G: 0.009957 Loss_D_real: -0.020463 Loss_D_fake 0.004243
[668/5000][455/535][68779] Loss_D: -0.024628 Loss_G: -0.010161 Loss_D_real: 0.002633 Loss_D_fake 0.027261
[668/5000][460/535][68780] Loss_D: -0.024541 Loss_G: 0.011429 Loss_D_real: -0.023979 Loss_D_fake 0.000562
[668/5000][465/535][68781] Loss_D: -0.024330 Loss_G: 0.004242 Loss_D_real: -0.009497 Loss_D_fake 0.014834
[668/5000][470/535][68782] Loss_D: -0.023635 Loss_G: 0.022273 Loss_D_real: -0.018357 Loss_D_fake 0.005278
[668/5000][475/535][68783] Loss_D: -0.024199 Loss_G: 0.029521 Loss_D_real: -0.025411 Loss_D_fake -0.001212
[668/5000][480/535][68784] Loss_D: -0.025318 Loss_G: 0.005762 Loss_D_real: -0.015647 Loss_D_fake 0.009671
[668/5000][485/535][68785] Loss_D: -0.023598 Loss_G: 0.010698 Loss_D_real: -0.013442 Loss_D_fake 0.010156
[668/5000][490/535][68786] Loss_D: -0.024439 Loss_G: 0.025778 Loss_D_real: -0.029275 Loss_D_fake -0.004836
[668/5000][495/535][68787] Loss_D: -0.024733 Loss_G: 0.008090 Loss_D_real: -0.013265 Loss_D_fake 0.011469
[668/5000][500/535][68788] Loss_D: -0.024324 Loss_G: 0.020864 Loss_D_real: -0.021098 Loss_D_fake 0.003226
[668/5000][505/535][68789] Loss_D: -0.023586 Loss_G: 0.025863 Loss_D_real: -0.028229 Loss_D_fake -0.004643
[668/5000][510/535][68790] Loss_D: -0.023353 Loss_G: -0.000845 Loss_D_real: -0.010558 Loss_D_fake 0.012795
[668/5000][515/535][68791] Loss_D: -0.023950 Loss_G: 0.011226 Loss_D_real: -0.024164 Loss_D_fake -0.000214
[668/5000][520/535][68792] Loss_D: -0.023089 Loss_G: 0.008037 Loss_D_real: -0.023235 Loss_D_fake -0.000146
[668/5000][525/535][68793] Loss_D: -0.024144 Loss_G: 0.028282 Loss_D_real: -0.025038 Loss_D_fake -0.000894
[668/5000][530/535][68794] Loss_D: -0.023649 Loss_G: 0.019269 Loss_D_real: -0.019237 Loss_D_fake 0.004412
[668/5000][535/535][68795] Loss_D: -0.027747 Loss_G: 0.038725 Loss_D_real: -0.011492 Loss_D_fake 0.016255
[669/5000][5/535][68796] Loss_D: -0.025496 Loss_G: 0.004360 Loss_D_real: -0.009008 Loss_D_fake 0.016488
[669/5000][10/535][68797] Loss_D: -0.024982 Loss_G: 0.030828 Loss_D_real: -0.032686 Loss_D_fake -0.007704
[669/5000][15/535][68798] Loss_D: -0.025656 Loss_G: 0.001754 Loss_D_real: -0.010848 Loss_D_fake 0.014808
[669/5000][20/535][68799] Loss_D: -0.025056 Loss_G: 0.010945 Loss_D_real: -0.021019 Loss_D_fake 0.004037
[669/5000][25/535][68800] Loss_D: -0.025382 Loss_G: 0.010573 Loss_D_real: -0.013574 Loss_D_fake 0.011808
[669/5000][30/535][68801] Loss_D: -0.023689 Loss_G: 0.012721 Loss_D_real: -0.016697 Loss_D_fake 0.006992
[669/5000][35/535][68802] Loss_D: -0.023814 Loss_G: -0.011265 Loss_D_real: -0.000337 Loss_D_fake 0.023477
[669/5000][40/535][68803] Loss_D: -0.022998 Loss_G: -0.007191 Loss_D_real: -0.007186 Loss_D_fake 0.015812
[669/5000][45/535][68804] Loss_D: -0.024622 Loss_G: 0.009334 Loss_D_real: -0.024469 Loss_D_fake 0.000153
[669/5000][50/535][68805] Loss_D: -0.025051 Loss_G: 0.021634 Loss_D_real: -0.017998 Loss_D_fake 0.007053
[669/5000][55/535][68806] Loss_D: -0.024759 Loss_G: 0.008613 Loss_D_real: -0.016489 Loss_D_fake 0.008269
[669/5000][60/535][68807] Loss_D: -0.024591 Loss_G: 0.014919 Loss_D_real: -0.022392 Loss_D_fake 0.002200
[669/5000][65/535][68808] Loss_D: -0.023530 Loss_G: 0.007136 Loss_D_real: -0.015701 Loss_D_fake 0.007829
[669/5000][70/535][68809] Loss_D: -0.023729 Loss_G: 0.015824 Loss_D_real: -0.016402 Loss_D_fake 0.007327
[669/5000][75/535][68810] Loss_D: -0.024114 Loss_G: 0.002576 Loss_D_real: -0.007763 Loss_D_fake 0.016352
[669/5000][80/535][68811] Loss_D: -0.024357 Loss_G: -0.005492 Loss_D_real: -0.009760 Loss_D_fake 0.014598
[669/5000][85/535][68812] Loss_D: -0.024173 Loss_G: 0.018600 Loss_D_real: -0.024661 Loss_D_fake -0.000488
[669/5000][90/535][68813] Loss_D: -0.024999 Loss_G: 0.000473 Loss_D_real: -0.012559 Loss_D_fake 0.012440
[669/5000][95/535][68814] Loss_D: -0.022787 Loss_G: 0.022920 Loss_D_real: -0.021267 Loss_D_fake 0.001520
[669/5000][100/535][68815] Loss_D: -0.022675 Loss_G: 0.027223 Loss_D_real: -0.027091 Loss_D_fake -0.004415
[669/5000][105/535][68816] Loss_D: -0.025447 Loss_G: 0.004821 Loss_D_real: -0.011525 Loss_D_fake 0.013923
[669/5000][110/535][68817] Loss_D: -0.023453 Loss_G: 0.007213 Loss_D_real: -0.022532 Loss_D_fake 0.000920
[669/5000][115/535][68818] Loss_D: -0.023420 Loss_G: 0.019223 Loss_D_real: -0.031002 Loss_D_fake -0.007582
[669/5000][120/535][68819] Loss_D: -0.023251 Loss_G: 0.017512 Loss_D_real: -0.021177 Loss_D_fake 0.002074
[669/5000][125/535][68820] Loss_D: -0.022908 Loss_G: 0.016462 Loss_D_real: -0.026077 Loss_D_fake -0.003169
[669/5000][130/535][68821] Loss_D: -0.026253 Loss_G: 0.005315 Loss_D_real: -0.019928 Loss_D_fake 0.006324
[669/5000][135/535][68822] Loss_D: -0.024504 Loss_G: 0.005434 Loss_D_real: -0.009073 Loss_D_fake 0.015431
[669/5000][140/535][68823] Loss_D: -0.023120 Loss_G: -0.010454 Loss_D_real: -0.001281 Loss_D_fake 0.021838
[669/5000][145/535][68824] Loss_D: -0.023004 Loss_G: 0.025784 Loss_D_real: -0.029473 Loss_D_fake -0.006469
[669/5000][150/535][68825] Loss_D: -0.024105 Loss_G: 0.017954 Loss_D_real: -0.015593 Loss_D_fake 0.008513
[669/5000][155/535][68826] Loss_D: -0.024271 Loss_G: -0.009231 Loss_D_real: -0.006743 Loss_D_fake 0.017528
[669/5000][160/535][68827] Loss_D: -0.023921 Loss_G: 0.011748 Loss_D_real: -0.020172 Loss_D_fake 0.003749
[669/5000][165/535][68828] Loss_D: -0.025301 Loss_G: 0.007727 Loss_D_real: -0.014768 Loss_D_fake 0.010532
[669/5000][170/535][68829] Loss_D: -0.024639 Loss_G: 0.021102 Loss_D_real: -0.017620 Loss_D_fake 0.007019
[669/5000][175/535][68830] Loss_D: -0.023817 Loss_G: 0.018155 Loss_D_real: -0.025191 Loss_D_fake -0.001374
[669/5000][180/535][68831] Loss_D: -0.024026 Loss_G: 0.015778 Loss_D_real: -0.021421 Loss_D_fake 0.002605
[669/5000][185/535][68832] Loss_D: -0.022702 Loss_G: 0.018403 Loss_D_real: -0.018835 Loss_D_fake 0.003867
[669/5000][190/535][68833] Loss_D: -0.024394 Loss_G: 0.005209 Loss_D_real: -0.018322 Loss_D_fake 0.006072
[669/5000][195/535][68834] Loss_D: -0.023971 Loss_G: 0.002301 Loss_D_real: -0.011355 Loss_D_fake 0.012616
[669/5000][200/535][68835] Loss_D: -0.024463 Loss_G: 0.008930 Loss_D_real: -0.015487 Loss_D_fake 0.008977
[669/5000][205/535][68836] Loss_D: -0.024789 Loss_G: 0.011739 Loss_D_real: -0.022327 Loss_D_fake 0.002462
[669/5000][210/535][68837] Loss_D: -0.022556 Loss_G: 0.037455 Loss_D_real: -0.037384 Loss_D_fake -0.014828
[669/5000][215/535][68838] Loss_D: -0.024390 Loss_G: 0.029873 Loss_D_real: -0.022992 Loss_D_fake 0.001398
[669/5000][220/535][68839] Loss_D: -0.024403 Loss_G: 0.014832 Loss_D_real: -0.016933 Loss_D_fake 0.007470
[669/5000][225/535][68840] Loss_D: -0.024481 Loss_G: 0.019126 Loss_D_real: -0.018958 Loss_D_fake 0.005523
[669/5000][230/535][68841] Loss_D: -0.024854 Loss_G: 0.003265 Loss_D_real: -0.015382 Loss_D_fake 0.009473
[669/5000][235/535][68842] Loss_D: -0.023815 Loss_G: 0.024158 Loss_D_real: -0.021686 Loss_D_fake 0.002129
[669/5000][240/535][68843] Loss_D: -0.023760 Loss_G: 0.002738 Loss_D_real: -0.009045 Loss_D_fake 0.014715
[669/5000][245/535][68844] Loss_D: -0.023877 Loss_G: 0.026706 Loss_D_real: -0.025657 Loss_D_fake -0.001780
[669/5000][250/535][68845] Loss_D: -0.025381 Loss_G: -0.001766 Loss_D_real: -0.013062 Loss_D_fake 0.012319
[669/5000][255/535][68846] Loss_D: -0.023255 Loss_G: 0.026022 Loss_D_real: -0.016526 Loss_D_fake 0.006729
[669/5000][260/535][68847] Loss_D: -0.024754 Loss_G: -0.008513 Loss_D_real: 0.001202 Loss_D_fake 0.025956
[669/5000][265/535][68848] Loss_D: -0.023266 Loss_G: 0.029462 Loss_D_real: -0.028744 Loss_D_fake -0.005478
[669/5000][270/535][68849] Loss_D: -0.024196 Loss_G: 0.023988 Loss_D_real: -0.020591 Loss_D_fake 0.003605
[669/5000][275/535][68850] Loss_D: -0.024081 Loss_G: -0.001928 Loss_D_real: -0.014507 Loss_D_fake 0.009575
[669/5000][280/535][68851] Loss_D: -0.023777 Loss_G: 0.009921 Loss_D_real: -0.013472 Loss_D_fake 0.010304
[669/5000][285/535][68852] Loss_D: -0.024689 Loss_G: 0.014865 Loss_D_real: -0.021586 Loss_D_fake 0.003103
[669/5000][290/535][68853] Loss_D: -0.024188 Loss_G: 0.024016 Loss_D_real: -0.019397 Loss_D_fake 0.004791
[669/5000][295/535][68854] Loss_D: -0.023941 Loss_G: 0.024256 Loss_D_real: -0.022217 Loss_D_fake 0.001724
[669/5000][300/535][68855] Loss_D: -0.023957 Loss_G: 0.014058 Loss_D_real: -0.021660 Loss_D_fake 0.002298
[669/5000][305/535][68856] Loss_D: -0.025907 Loss_G: 0.003230 Loss_D_real: -0.015639 Loss_D_fake 0.010268
[669/5000][310/535][68857] Loss_D: -0.023527 Loss_G: 0.020846 Loss_D_real: -0.019330 Loss_D_fake 0.004198
[669/5000][315/535][68858] Loss_D: -0.025060 Loss_G: 0.021126 Loss_D_real: -0.018230 Loss_D_fake 0.006829
[669/5000][320/535][68859] Loss_D: -0.024623 Loss_G: 0.026979 Loss_D_real: -0.025275 Loss_D_fake -0.000652
[669/5000][325/535][68860] Loss_D: -0.023861 Loss_G: -0.005427 Loss_D_real: -0.004776 Loss_D_fake 0.019085
[669/5000][330/535][68861] Loss_D: -0.024920 Loss_G: 0.012050 Loss_D_real: -0.017045 Loss_D_fake 0.007876
[669/5000][335/535][68862] Loss_D: -0.023376 Loss_G: -0.010608 Loss_D_real: 0.001593 Loss_D_fake 0.024970
[669/5000][340/535][68863] Loss_D: -0.022862 Loss_G: 0.024698 Loss_D_real: -0.020325 Loss_D_fake 0.002537
[669/5000][345/535][68864] Loss_D: -0.024275 Loss_G: 0.002869 Loss_D_real: -0.002779 Loss_D_fake 0.021496
[669/5000][350/535][68865] Loss_D: -0.024387 Loss_G: 0.014305 Loss_D_real: -0.019210 Loss_D_fake 0.005177
[669/5000][355/535][68866] Loss_D: -0.023708 Loss_G: -0.006233 Loss_D_real: 0.005794 Loss_D_fake 0.029503
[669/5000][360/535][68867] Loss_D: -0.022611 Loss_G: 0.016242 Loss_D_real: -0.012095 Loss_D_fake 0.010517
[669/5000][365/535][68868] Loss_D: -0.023823 Loss_G: 0.013454 Loss_D_real: -0.013236 Loss_D_fake 0.010587
[669/5000][370/535][68869] Loss_D: -0.024462 Loss_G: 0.017772 Loss_D_real: -0.019967 Loss_D_fake 0.004495
[669/5000][375/535][68870] Loss_D: -0.024994 Loss_G: -0.004694 Loss_D_real: -0.007022 Loss_D_fake 0.017972
[669/5000][380/535][68871] Loss_D: -0.024574 Loss_G: 0.001557 Loss_D_real: -0.008794 Loss_D_fake 0.015780
[669/5000][385/535][68872] Loss_D: -0.023932 Loss_G: 0.013708 Loss_D_real: -0.022782 Loss_D_fake 0.001150
[669/5000][390/535][68873] Loss_D: -0.023779 Loss_G: 0.028346 Loss_D_real: -0.029825 Loss_D_fake -0.006046
[669/5000][395/535][68874] Loss_D: -0.024438 Loss_G: -0.001597 Loss_D_real: -0.009855 Loss_D_fake 0.014583
[669/5000][400/535][68875] Loss_D: -0.024055 Loss_G: 0.022688 Loss_D_real: -0.018250 Loss_D_fake 0.005805
[669/5000][405/535][68876] Loss_D: -0.024264 Loss_G: 0.021054 Loss_D_real: -0.021219 Loss_D_fake 0.003045
[669/5000][410/535][68877] Loss_D: -0.024104 Loss_G: 0.001690 Loss_D_real: -0.002571 Loss_D_fake 0.021533
[669/5000][415/535][68878] Loss_D: -0.024294 Loss_G: 0.021850 Loss_D_real: -0.027084 Loss_D_fake -0.002790
[669/5000][420/535][68879] Loss_D: -0.024420 Loss_G: 0.002117 Loss_D_real: -0.008003 Loss_D_fake 0.016417
[669/5000][425/535][68880] Loss_D: -0.026584 Loss_G: 0.021007 Loss_D_real: -0.021721 Loss_D_fake 0.004863
[669/5000][430/535][68881] Loss_D: -0.024181 Loss_G: 0.020478 Loss_D_real: -0.028048 Loss_D_fake -0.003867
[669/5000][435/535][68882] Loss_D: -0.022825 Loss_G: 0.021707 Loss_D_real: -0.036715 Loss_D_fake -0.013890
[669/5000][440/535][68883] Loss_D: -0.024761 Loss_G: 0.023367 Loss_D_real: -0.028113 Loss_D_fake -0.003352
[669/5000][445/535][68884] Loss_D: -0.024769 Loss_G: 0.023609 Loss_D_real: -0.026118 Loss_D_fake -0.001350
[669/5000][450/535][68885] Loss_D: -0.025207 Loss_G: 0.008407 Loss_D_real: -0.010280 Loss_D_fake 0.014927
[669/5000][455/535][68886] Loss_D: -0.023519 Loss_G: -0.010473 Loss_D_real: 0.000058 Loss_D_fake 0.023577
[669/5000][460/535][68887] Loss_D: -0.024672 Loss_G: 0.012897 Loss_D_real: -0.023367 Loss_D_fake 0.001305
[669/5000][465/535][68888] Loss_D: -0.024531 Loss_G: 0.027429 Loss_D_real: -0.018017 Loss_D_fake 0.006513
[669/5000][470/535][68889] Loss_D: -0.024539 Loss_G: 0.009590 Loss_D_real: -0.014201 Loss_D_fake 0.010338
[669/5000][475/535][68890] Loss_D: -0.024650 Loss_G: 0.012500 Loss_D_real: -0.018568 Loss_D_fake 0.006081
[669/5000][480/535][68891] Loss_D: -0.024600 Loss_G: 0.018353 Loss_D_real: -0.036081 Loss_D_fake -0.011481
[669/5000][485/535][68892] Loss_D: -0.026458 Loss_G: 0.021715 Loss_D_real: -0.014079 Loss_D_fake 0.012379
[669/5000][490/535][68893] Loss_D: -0.023831 Loss_G: -0.015464 Loss_D_real: 0.000436 Loss_D_fake 0.024267
[669/5000][495/535][68894] Loss_D: -0.023175 Loss_G: 0.004688 Loss_D_real: -0.011962 Loss_D_fake 0.011213
[669/5000][500/535][68895] Loss_D: -0.024636 Loss_G: 0.027414 Loss_D_real: -0.023339 Loss_D_fake 0.001297
[669/5000][505/535][68896] Loss_D: -0.023486 Loss_G: -0.011361 Loss_D_real: 0.000699 Loss_D_fake 0.024184
[669/5000][510/535][68897] Loss_D: -0.024498 Loss_G: 0.008187 Loss_D_real: -0.005514 Loss_D_fake 0.018984
[669/5000][515/535][68898] Loss_D: -0.024184 Loss_G: 0.022055 Loss_D_real: -0.021455 Loss_D_fake 0.002729
[669/5000][520/535][68899] Loss_D: -0.024746 Loss_G: -0.003405 Loss_D_real: -0.009425 Loss_D_fake 0.015321
[669/5000][525/535][68900] Loss_D: -0.024025 Loss_G: 0.007843 Loss_D_real: -0.018863 Loss_D_fake 0.005162
[669/5000][530/535][68901] Loss_D: -0.024613 Loss_G: 0.007124 Loss_D_real: -0.018385 Loss_D_fake 0.006228
[669/5000][535/535][68902] Loss_D: -0.022013 Loss_G: 0.021306 Loss_D_real: -0.015287 Loss_D_fake 0.006727
[670/5000][5/535][68903] Loss_D: -0.023539 Loss_G: 0.002545 Loss_D_real: -0.009350 Loss_D_fake 0.014190
[670/5000][10/535][68904] Loss_D: -0.024517 Loss_G: 0.009572 Loss_D_real: -0.012728 Loss_D_fake 0.011789
[670/5000][15/535][68905] Loss_D: -0.025367 Loss_G: 0.013578 Loss_D_real: -0.018764 Loss_D_fake 0.006603
[670/5000][20/535][68906] Loss_D: -0.023869 Loss_G: 0.020886 Loss_D_real: -0.027678 Loss_D_fake -0.003810
[670/5000][25/535][68907] Loss_D: -0.024006 Loss_G: -0.002533 Loss_D_real: -0.006248 Loss_D_fake 0.017758
[670/5000][30/535][68908] Loss_D: -0.024381 Loss_G: 0.021687 Loss_D_real: -0.022436 Loss_D_fake 0.001945
[670/5000][35/535][68909] Loss_D: -0.025063 Loss_G: 0.019403 Loss_D_real: -0.026624 Loss_D_fake -0.001561
[670/5000][40/535][68910] Loss_D: -0.025440 Loss_G: -0.001562 Loss_D_real: -0.005440 Loss_D_fake 0.020000
[670/5000][45/535][68911] Loss_D: -0.023849 Loss_G: 0.029626 Loss_D_real: -0.024234 Loss_D_fake -0.000386
[670/5000][50/535][68912] Loss_D: -0.024569 Loss_G: 0.021368 Loss_D_real: -0.007452 Loss_D_fake 0.017116
[670/5000][55/535][68913] Loss_D: -0.023919 Loss_G: 0.013315 Loss_D_real: -0.016867 Loss_D_fake 0.007052
[670/5000][60/535][68914] Loss_D: -0.024918 Loss_G: 0.009628 Loss_D_real: -0.019271 Loss_D_fake 0.005647
[670/5000][65/535][68915] Loss_D: -0.023682 Loss_G: 0.004396 Loss_D_real: -0.008397 Loss_D_fake 0.015285
[670/5000][70/535][68916] Loss_D: -0.024920 Loss_G: 0.002650 Loss_D_real: -0.007017 Loss_D_fake 0.017903
[670/5000][75/535][68917] Loss_D: -0.023335 Loss_G: 0.024304 Loss_D_real: -0.037847 Loss_D_fake -0.014512
[670/5000][80/535][68918] Loss_D: -0.024272 Loss_G: 0.025913 Loss_D_real: -0.025355 Loss_D_fake -0.001082
[670/5000][85/535][68919] Loss_D: -0.026612 Loss_G: 0.013581 Loss_D_real: -0.015484 Loss_D_fake 0.011128
[670/5000][90/535][68920] Loss_D: -0.024754 Loss_G: 0.006603 Loss_D_real: -0.015991 Loss_D_fake 0.008763
[670/5000][95/535][68921] Loss_D: -0.023823 Loss_G: 0.011455 Loss_D_real: -0.014342 Loss_D_fake 0.009481
[670/5000][100/535][68922] Loss_D: -0.024923 Loss_G: 0.005828 Loss_D_real: -0.018787 Loss_D_fake 0.006136
[670/5000][105/535][68923] Loss_D: -0.024697 Loss_G: 0.003759 Loss_D_real: -0.010837 Loss_D_fake 0.013859
[670/5000][110/535][68924] Loss_D: -0.023715 Loss_G: 0.018861 Loss_D_real: -0.022752 Loss_D_fake 0.000964
[670/5000][115/535][68925] Loss_D: -0.023365 Loss_G: 0.015073 Loss_D_real: -0.015161 Loss_D_fake 0.008204
[670/5000][120/535][68926] Loss_D: -0.024483 Loss_G: 0.036111 Loss_D_real: -0.032655 Loss_D_fake -0.008172
[670/5000][125/535][68927] Loss_D: -0.024197 Loss_G: -0.000117 Loss_D_real: -0.006439 Loss_D_fake 0.017759
[670/5000][130/535][68928] Loss_D: -0.024221 Loss_G: 0.009536 Loss_D_real: -0.018116 Loss_D_fake 0.006104
[670/5000][135/535][68929] Loss_D: -0.023663 Loss_G: 0.009404 Loss_D_real: -0.008070 Loss_D_fake 0.015593
[670/5000][140/535][68930] Loss_D: -0.023039 Loss_G: 0.034597 Loss_D_real: -0.024127 Loss_D_fake -0.001088
[670/5000][145/535][68931] Loss_D: -0.025473 Loss_G: 0.001930 Loss_D_real: -0.008944 Loss_D_fake 0.016528
[670/5000][150/535][68932] Loss_D: -0.025140 Loss_G: 0.032836 Loss_D_real: -0.028564 Loss_D_fake -0.003424
[670/5000][155/535][68933] Loss_D: -0.023236 Loss_G: 0.007477 Loss_D_real: -0.011869 Loss_D_fake 0.011367
[670/5000][160/535][68934] Loss_D: -0.024398 Loss_G: 0.016577 Loss_D_real: -0.012615 Loss_D_fake 0.011783
[670/5000][165/535][68935] Loss_D: -0.024679 Loss_G: -0.001499 Loss_D_real: -0.011307 Loss_D_fake 0.013372
[670/5000][170/535][68936] Loss_D: -0.024459 Loss_G: 0.007151 Loss_D_real: -0.018454 Loss_D_fake 0.006005
[670/5000][175/535][68937] Loss_D: -0.024578 Loss_G: 0.017364 Loss_D_real: -0.015691 Loss_D_fake 0.008887
[670/5000][180/535][68938] Loss_D: -0.025000 Loss_G: 0.010179 Loss_D_real: -0.010230 Loss_D_fake 0.014770
[670/5000][185/535][68939] Loss_D: -0.024018 Loss_G: 0.016489 Loss_D_real: -0.025297 Loss_D_fake -0.001278
[670/5000][190/535][68940] Loss_D: -0.024830 Loss_G: 0.034756 Loss_D_real: -0.021610 Loss_D_fake 0.003219
[670/5000][195/535][68941] Loss_D: -0.025352 Loss_G: -0.006543 Loss_D_real: -0.002740 Loss_D_fake 0.022612
[670/5000][200/535][68942] Loss_D: -0.025224 Loss_G: 0.024433 Loss_D_real: -0.026902 Loss_D_fake -0.001678
[670/5000][205/535][68943] Loss_D: -0.024543 Loss_G: 0.015644 Loss_D_real: -0.023364 Loss_D_fake 0.001179
[670/5000][210/535][68944] Loss_D: -0.023190 Loss_G: 0.025526 Loss_D_real: -0.028897 Loss_D_fake -0.005707
[670/5000][215/535][68945] Loss_D: -0.024676 Loss_G: 0.008277 Loss_D_real: -0.015871 Loss_D_fake 0.008805
[670/5000][220/535][68946] Loss_D: -0.024823 Loss_G: 0.007578 Loss_D_real: -0.014467 Loss_D_fake 0.010356
[670/5000][225/535][68947] Loss_D: -0.024640 Loss_G: 0.009725 Loss_D_real: -0.019992 Loss_D_fake 0.004649
[670/5000][230/535][68948] Loss_D: -0.024361 Loss_G: -0.013240 Loss_D_real: -0.008461 Loss_D_fake 0.015899
[670/5000][235/535][68949] Loss_D: -0.023957 Loss_G: 0.012296 Loss_D_real: -0.016392 Loss_D_fake 0.007565
[670/5000][240/535][68950] Loss_D: -0.024410 Loss_G: 0.010174 Loss_D_real: -0.021668 Loss_D_fake 0.002742
[670/5000][245/535][68951] Loss_D: -0.023401 Loss_G: 0.009601 Loss_D_real: -0.018293 Loss_D_fake 0.005108
[670/5000][250/535][68952] Loss_D: -0.022863 Loss_G: 0.032310 Loss_D_real: -0.029836 Loss_D_fake -0.006973
[670/5000][255/535][68953] Loss_D: -0.023513 Loss_G: 0.003814 Loss_D_real: -0.015940 Loss_D_fake 0.007572
[670/5000][260/535][68954] Loss_D: -0.023627 Loss_G: 0.018029 Loss_D_real: -0.019718 Loss_D_fake 0.003909
[670/5000][265/535][68955] Loss_D: -0.023055 Loss_G: 0.008874 Loss_D_real: -0.017761 Loss_D_fake 0.005295
[670/5000][270/535][68956] Loss_D: -0.025301 Loss_G: -0.004133 Loss_D_real: -0.017485 Loss_D_fake 0.007816
[670/5000][275/535][68957] Loss_D: -0.023045 Loss_G: 0.028681 Loss_D_real: -0.034145 Loss_D_fake -0.011100
[670/5000][280/535][68958] Loss_D: -0.023223 Loss_G: 0.024286 Loss_D_real: -0.022409 Loss_D_fake 0.000814
[670/5000][285/535][68959] Loss_D: -0.024476 Loss_G: -0.005175 Loss_D_real: -0.003577 Loss_D_fake 0.020899
[670/5000][290/535][68960] Loss_D: -0.023542 Loss_G: 0.025913 Loss_D_real: -0.027213 Loss_D_fake -0.003671
[670/5000][295/535][68961] Loss_D: -0.024924 Loss_G: 0.016911 Loss_D_real: -0.008612 Loss_D_fake 0.016312
[670/5000][300/535][68962] Loss_D: -0.023443 Loss_G: 0.012513 Loss_D_real: -0.011244 Loss_D_fake 0.012199
[670/5000][305/535][68963] Loss_D: -0.023710 Loss_G: 0.022617 Loss_D_real: -0.025409 Loss_D_fake -0.001699
[670/5000][310/535][68964] Loss_D: -0.024887 Loss_G: -0.000185 Loss_D_real: -0.009754 Loss_D_fake 0.015133
[670/5000][315/535][68965] Loss_D: -0.024423 Loss_G: 0.031481 Loss_D_real: -0.029710 Loss_D_fake -0.005287
[670/5000][320/535][68966] Loss_D: -0.024934 Loss_G: 0.015302 Loss_D_real: -0.016542 Loss_D_fake 0.008392
[670/5000][325/535][68967] Loss_D: -0.023981 Loss_G: -0.010349 Loss_D_real: -0.000573 Loss_D_fake 0.023408
[670/5000][330/535][68968] Loss_D: -0.020682 Loss_G: 0.026861 Loss_D_real: -0.035917 Loss_D_fake -0.015235
[670/5000][335/535][68969] Loss_D: -0.024311 Loss_G: 0.021991 Loss_D_real: -0.020537 Loss_D_fake 0.003775
[670/5000][340/535][68970] Loss_D: -0.024633 Loss_G: 0.007386 Loss_D_real: -0.012929 Loss_D_fake 0.011703
[670/5000][345/535][68971] Loss_D: -0.024288 Loss_G: 0.009066 Loss_D_real: -0.011576 Loss_D_fake 0.012713
[670/5000][350/535][68972] Loss_D: -0.022885 Loss_G: 0.016844 Loss_D_real: -0.028166 Loss_D_fake -0.005281
[670/5000][355/535][68973] Loss_D: -0.023533 Loss_G: 0.017827 Loss_D_real: -0.015542 Loss_D_fake 0.007991
[670/5000][360/535][68974] Loss_D: -0.024631 Loss_G: 0.017092 Loss_D_real: -0.024711 Loss_D_fake -0.000080
[670/5000][365/535][68975] Loss_D: -0.024042 Loss_G: 0.016722 Loss_D_real: -0.020248 Loss_D_fake 0.003795
[670/5000][370/535][68976] Loss_D: -0.024830 Loss_G: 0.012039 Loss_D_real: -0.022515 Loss_D_fake 0.002314
[670/5000][375/535][68977] Loss_D: -0.024675 Loss_G: 0.019002 Loss_D_real: -0.019915 Loss_D_fake 0.004760
[670/5000][380/535][68978] Loss_D: -0.023531 Loss_G: -0.006175 Loss_D_real: -0.001434 Loss_D_fake 0.022097
[670/5000][385/535][68979] Loss_D: -0.023552 Loss_G: 0.023591 Loss_D_real: -0.020330 Loss_D_fake 0.003222
[670/5000][390/535][68980] Loss_D: -0.025610 Loss_G: -0.000104 Loss_D_real: -0.012097 Loss_D_fake 0.013513
[670/5000][395/535][68981] Loss_D: -0.024353 Loss_G: 0.015857 Loss_D_real: -0.021425 Loss_D_fake 0.002928
[670/5000][400/535][68982] Loss_D: -0.024723 Loss_G: 0.005828 Loss_D_real: -0.021884 Loss_D_fake 0.002839
[670/5000][405/535][68983] Loss_D: -0.025434 Loss_G: 0.024052 Loss_D_real: -0.023132 Loss_D_fake 0.002302
[670/5000][410/535][68984] Loss_D: -0.025709 Loss_G: 0.003281 Loss_D_real: -0.016866 Loss_D_fake 0.008844
[670/5000][415/535][68985] Loss_D: -0.024397 Loss_G: 0.000576 Loss_D_real: -0.003743 Loss_D_fake 0.020653
[670/5000][420/535][68986] Loss_D: -0.023627 Loss_G: 0.007917 Loss_D_real: -0.014113 Loss_D_fake 0.009514
[670/5000][425/535][68987] Loss_D: -0.023407 Loss_G: 0.017805 Loss_D_real: -0.022169 Loss_D_fake 0.001239
[670/5000][430/535][68988] Loss_D: -0.022907 Loss_G: 0.018950 Loss_D_real: -0.021039 Loss_D_fake 0.001868
[670/5000][435/535][68989] Loss_D: -0.024951 Loss_G: 0.012549 Loss_D_real: -0.021286 Loss_D_fake 0.003666
[670/5000][440/535][68990] Loss_D: -0.024399 Loss_G: 0.009705 Loss_D_real: -0.018378 Loss_D_fake 0.006021
[670/5000][445/535][68991] Loss_D: -0.024048 Loss_G: 0.019547 Loss_D_real: -0.016371 Loss_D_fake 0.007677
[670/5000][450/535][68992] Loss_D: -0.024653 Loss_G: -0.003071 Loss_D_real: -0.005535 Loss_D_fake 0.019118
[670/5000][455/535][68993] Loss_D: -0.022744 Loss_G: 0.023908 Loss_D_real: -0.033947 Loss_D_fake -0.011203
[670/5000][460/535][68994] Loss_D: -0.025430 Loss_G: 0.014969 Loss_D_real: -0.025638 Loss_D_fake -0.000208
[670/5000][465/535][68995] Loss_D: -0.024103 Loss_G: 0.001247 Loss_D_real: -0.012264 Loss_D_fake 0.011840
[670/5000][470/535][68996] Loss_D: -0.024998 Loss_G: 0.014686 Loss_D_real: -0.024067 Loss_D_fake 0.000930
[670/5000][475/535][68997] Loss_D: -0.025476 Loss_G: 0.014759 Loss_D_real: -0.018446 Loss_D_fake 0.007030
[670/5000][480/535][68998] Loss_D: -0.024726 Loss_G: 0.013354 Loss_D_real: -0.018043 Loss_D_fake 0.006683
[670/5000][485/535][68999] Loss_D: -0.025078 Loss_G: 0.008991 Loss_D_real: -0.014131 Loss_D_fake 0.010947
[670/5000][490/535][69000] Loss_D: -0.024393 Loss_G: -0.010744 Loss_D_real: -0.005524 Loss_D_fake 0.018869
[670/5000][535/535][69001] Loss_D: -0.025436 Loss_G: -0.000044 Loss_D_real: -0.002964 Loss_D_fake 0.022471
[671/5000][5/535][69002] Loss_D: -0.026190 Loss_G: 0.017087 Loss_D_real: -0.014555 Loss_D_fake 0.011636
[671/5000][10/535][69003] Loss_D: -0.023071 Loss_G: -0.015518 Loss_D_real: -0.010613 Loss_D_fake 0.012458
[671/5000][15/535][69004] Loss_D: -0.023966 Loss_G: 0.030917 Loss_D_real: -0.023856 Loss_D_fake 0.000110
[671/5000][20/535][69005] Loss_D: -0.024746 Loss_G: 0.014143 Loss_D_real: -0.020144 Loss_D_fake 0.004603
[671/5000][25/535][69006] Loss_D: -0.023401 Loss_G: 0.004552 Loss_D_real: -0.027676 Loss_D_fake -0.004276
[671/5000][30/535][69007] Loss_D: -0.023474 Loss_G: -0.013199 Loss_D_real: -0.013283 Loss_D_fake 0.010190
[671/5000][35/535][69008] Loss_D: -0.021449 Loss_G: 0.033404 Loss_D_real: -0.035945 Loss_D_fake -0.014495
[671/5000][40/535][69009] Loss_D: -0.023821 Loss_G: -0.007382 Loss_D_real: -0.000761 Loss_D_fake 0.023060
[671/5000][45/535][69010] Loss_D: -0.023046 Loss_G: 0.007735 Loss_D_real: -0.014406 Loss_D_fake 0.008641
[671/5000][50/535][69011] Loss_D: -0.024618 Loss_G: 0.011457 Loss_D_real: -0.006441 Loss_D_fake 0.018177
[671/5000][55/535][69012] Loss_D: -0.024043 Loss_G: 0.027368 Loss_D_real: -0.028084 Loss_D_fake -0.004042
[671/5000][60/535][69013] Loss_D: -0.023493 Loss_G: 0.018064 Loss_D_real: -0.016191 Loss_D_fake 0.007302
[671/5000][65/535][69014] Loss_D: -0.023900 Loss_G: 0.023423 Loss_D_real: -0.027707 Loss_D_fake -0.003807
[671/5000][70/535][69015] Loss_D: -0.025046 Loss_G: -0.007659 Loss_D_real: -0.012026 Loss_D_fake 0.013020
[671/5000][75/535][69016] Loss_D: -0.022515 Loss_G: 0.028192 Loss_D_real: -0.028131 Loss_D_fake -0.005616
[671/5000][80/535][69017] Loss_D: -0.023144 Loss_G: -0.003496 Loss_D_real: -0.005580 Loss_D_fake 0.017564
[671/5000][85/535][69018] Loss_D: -0.025541 Loss_G: 0.004429 Loss_D_real: -0.014024 Loss_D_fake 0.011517
[671/5000][90/535][69019] Loss_D: -0.023655 Loss_G: -0.004034 Loss_D_real: -0.009664 Loss_D_fake 0.013991
[671/5000][95/535][69020] Loss_D: -0.023978 Loss_G: -0.003722 Loss_D_real: -0.006042 Loss_D_fake 0.017937
[671/5000][100/535][69021] Loss_D: -0.024095 Loss_G: 0.031145 Loss_D_real: -0.022599 Loss_D_fake 0.001495
[671/5000][105/535][69022] Loss_D: -0.024036 Loss_G: 0.014163 Loss_D_real: -0.015070 Loss_D_fake 0.008967
[671/5000][110/535][69023] Loss_D: -0.024285 Loss_G: -0.002559 Loss_D_real: -0.009405 Loss_D_fake 0.014880
[671/5000][115/535][69024] Loss_D: -0.022193 Loss_G: 0.020023 Loss_D_real: -0.036102 Loss_D_fake -0.013909
[671/5000][120/535][69025] Loss_D: -0.023905 Loss_G: -0.000231 Loss_D_real: -0.006757 Loss_D_fake 0.017148
[671/5000][125/535][69026] Loss_D: -0.022743 Loss_G: 0.017073 Loss_D_real: -0.028996 Loss_D_fake -0.006253
[671/5000][130/535][69027] Loss_D: -0.024039 Loss_G: -0.004788 Loss_D_real: -0.000897 Loss_D_fake 0.023142
[671/5000][135/535][69028] Loss_D: -0.023464 Loss_G: 0.009722 Loss_D_real: -0.016506 Loss_D_fake 0.006958
[671/5000][140/535][69029] Loss_D: -0.022606 Loss_G: -0.001346 Loss_D_real: -0.002508 Loss_D_fake 0.020098
[671/5000][145/535][69030] Loss_D: -0.023401 Loss_G: 0.029877 Loss_D_real: -0.031226 Loss_D_fake -0.007825
[671/5000][150/535][69031] Loss_D: -0.023889 Loss_G: 0.006766 Loss_D_real: -0.008176 Loss_D_fake 0.015713
[671/5000][155/535][69032] Loss_D: -0.024676 Loss_G: 0.004441 Loss_D_real: -0.013099 Loss_D_fake 0.011578
[671/5000][160/535][69033] Loss_D: -0.024669 Loss_G: 0.025947 Loss_D_real: -0.035428 Loss_D_fake -0.010758
[671/5000][165/535][69034] Loss_D: -0.023118 Loss_G: 0.039739 Loss_D_real: -0.029193 Loss_D_fake -0.006075
[671/5000][170/535][69035] Loss_D: -0.024642 Loss_G: 0.002842 Loss_D_real: -0.011929 Loss_D_fake 0.012713
[671/5000][175/535][69036] Loss_D: -0.025332 Loss_G: 0.015628 Loss_D_real: -0.022015 Loss_D_fake 0.003317
[671/5000][180/535][69037] Loss_D: -0.024496 Loss_G: 0.017829 Loss_D_real: -0.021310 Loss_D_fake 0.003186
[671/5000][185/535][69038] Loss_D: -0.025550 Loss_G: 0.027735 Loss_D_real: -0.032083 Loss_D_fake -0.006533
[671/5000][190/535][69039] Loss_D: -0.021939 Loss_G: 0.021322 Loss_D_real: -0.030762 Loss_D_fake -0.008823
[671/5000][195/535][69040] Loss_D: -0.024735 Loss_G: 0.014545 Loss_D_real: -0.027162 Loss_D_fake -0.002428
[671/5000][200/535][69041] Loss_D: -0.024104 Loss_G: 0.013305 Loss_D_real: -0.031405 Loss_D_fake -0.007301
[671/5000][205/535][69042] Loss_D: -0.025465 Loss_G: 0.029304 Loss_D_real: -0.028499 Loss_D_fake -0.003034
[671/5000][210/535][69043] Loss_D: -0.024855 Loss_G: 0.013326 Loss_D_real: -0.014367 Loss_D_fake 0.010489
[671/5000][215/535][69044] Loss_D: -0.025084 Loss_G: 0.021162 Loss_D_real: -0.030858 Loss_D_fake -0.005775
[671/5000][220/535][69045] Loss_D: -0.024388 Loss_G: 0.005254 Loss_D_real: -0.017273 Loss_D_fake 0.007115
[671/5000][225/535][69046] Loss_D: -0.024918 Loss_G: -0.006059 Loss_D_real: -0.017374 Loss_D_fake 0.007544
[671/5000][230/535][69047] Loss_D: -0.023021 Loss_G: 0.018534 Loss_D_real: -0.035954 Loss_D_fake -0.012933
[671/5000][235/535][69048] Loss_D: -0.024465 Loss_G: 0.026008 Loss_D_real: -0.016697 Loss_D_fake 0.007769
[671/5000][240/535][69049] Loss_D: -0.024934 Loss_G: 0.011510 Loss_D_real: -0.022170 Loss_D_fake 0.002764
[671/5000][245/535][69050] Loss_D: -0.025147 Loss_G: 0.008611 Loss_D_real: -0.005326 Loss_D_fake 0.019821
[671/5000][250/535][69051] Loss_D: -0.024591 Loss_G: 0.025052 Loss_D_real: -0.026084 Loss_D_fake -0.001493
[671/5000][255/535][69052] Loss_D: -0.025095 Loss_G: 0.008574 Loss_D_real: -0.015479 Loss_D_fake 0.009616
[671/5000][260/535][69053] Loss_D: -0.022897 Loss_G: 0.032700 Loss_D_real: -0.028129 Loss_D_fake -0.005231
[671/5000][265/535][69054] Loss_D: -0.024213 Loss_G: 0.008150 Loss_D_real: -0.010544 Loss_D_fake 0.013670
[671/5000][270/535][69055] Loss_D: -0.023934 Loss_G: 0.009214 Loss_D_real: -0.017526 Loss_D_fake 0.006408
[671/5000][275/535][69056] Loss_D: -0.024879 Loss_G: -0.000326 Loss_D_real: -0.016273 Loss_D_fake 0.008606
[671/5000][280/535][69057] Loss_D: -0.023691 Loss_G: 0.022270 Loss_D_real: -0.027304 Loss_D_fake -0.003613
[671/5000][285/535][69058] Loss_D: -0.025254 Loss_G: 0.001346 Loss_D_real: -0.003453 Loss_D_fake 0.021801
[671/5000][290/535][69059] Loss_D: -0.024229 Loss_G: 0.021803 Loss_D_real: -0.012237 Loss_D_fake 0.011992
[671/5000][295/535][69060] Loss_D: -0.024574 Loss_G: 0.011193 Loss_D_real: -0.021948 Loss_D_fake 0.002626
[671/5000][300/535][69061] Loss_D: -0.024846 Loss_G: 0.000337 Loss_D_real: -0.006730 Loss_D_fake 0.018116
[671/5000][305/535][69062] Loss_D: -0.024811 Loss_G: 0.006093 Loss_D_real: -0.014520 Loss_D_fake 0.010291
[671/5000][310/535][69063] Loss_D: -0.024686 Loss_G: 0.009478 Loss_D_real: -0.021838 Loss_D_fake 0.002848
[671/5000][315/535][69064] Loss_D: -0.022619 Loss_G: 0.031990 Loss_D_real: -0.033428 Loss_D_fake -0.010809
[671/5000][320/535][69065] Loss_D: -0.025406 Loss_G: 0.011587 Loss_D_real: -0.015161 Loss_D_fake 0.010245
[671/5000][325/535][69066] Loss_D: -0.023916 Loss_G: 0.012025 Loss_D_real: -0.017719 Loss_D_fake 0.006197
[671/5000][330/535][69067] Loss_D: -0.023008 Loss_G: 0.014411 Loss_D_real: -0.008835 Loss_D_fake 0.014173
[671/5000][335/535][69068] Loss_D: -0.023519 Loss_G: 0.027099 Loss_D_real: -0.024921 Loss_D_fake -0.001402
[671/5000][340/535][69069] Loss_D: -0.023879 Loss_G: 0.019778 Loss_D_real: -0.018200 Loss_D_fake 0.005679
[671/5000][345/535][69070] Loss_D: -0.025156 Loss_G: 0.004869 Loss_D_real: -0.015660 Loss_D_fake 0.009496
[671/5000][350/535][69071] Loss_D: -0.023807 Loss_G: 0.011353 Loss_D_real: -0.027811 Loss_D_fake -0.004004
[671/5000][355/535][69072] Loss_D: -0.024722 Loss_G: 0.004760 Loss_D_real: -0.015075 Loss_D_fake 0.009647
[671/5000][360/535][69073] Loss_D: -0.023788 Loss_G: -0.007587 Loss_D_real: -0.004528 Loss_D_fake 0.019259
[671/5000][365/535][69074] Loss_D: -0.023196 Loss_G: 0.035980 Loss_D_real: -0.030577 Loss_D_fake -0.007382
[671/5000][370/535][69075] Loss_D: -0.025638 Loss_G: 0.008986 Loss_D_real: -0.011875 Loss_D_fake 0.013763
[671/5000][375/535][69076] Loss_D: -0.023836 Loss_G: 0.017908 Loss_D_real: -0.019580 Loss_D_fake 0.004257
[671/5000][380/535][69077] Loss_D: -0.024952 Loss_G: 0.010584 Loss_D_real: -0.010524 Loss_D_fake 0.014428
[671/5000][385/535][69078] Loss_D: -0.023865 Loss_G: 0.021075 Loss_D_real: -0.023572 Loss_D_fake 0.000292
[671/5000][390/535][69079] Loss_D: -0.024630 Loss_G: -0.010448 Loss_D_real: -0.009035 Loss_D_fake 0.015595
[671/5000][395/535][69080] Loss_D: -0.025064 Loss_G: 0.007763 Loss_D_real: -0.003160 Loss_D_fake 0.021904
[671/5000][400/535][69081] Loss_D: -0.023101 Loss_G: 0.013162 Loss_D_real: -0.003738 Loss_D_fake 0.019363
[671/5000][405/535][69082] Loss_D: -0.024445 Loss_G: 0.001849 Loss_D_real: -0.011496 Loss_D_fake 0.012949
[671/5000][410/535][69083] Loss_D: -0.023375 Loss_G: 0.018464 Loss_D_real: -0.012360 Loss_D_fake 0.011015
[671/5000][415/535][69084] Loss_D: -0.024402 Loss_G: 0.019032 Loss_D_real: -0.008432 Loss_D_fake 0.015971
[671/5000][420/535][69085] Loss_D: -0.023824 Loss_G: 0.003486 Loss_D_real: -0.024942 Loss_D_fake -0.001118
[671/5000][425/535][69086] Loss_D: -0.023899 Loss_G: 0.014031 Loss_D_real: -0.007326 Loss_D_fake 0.016573
[671/5000][430/535][69087] Loss_D: -0.024611 Loss_G: 0.000042 Loss_D_real: -0.015388 Loss_D_fake 0.009223
[671/5000][435/535][69088] Loss_D: -0.024658 Loss_G: 0.010650 Loss_D_real: -0.011628 Loss_D_fake 0.013030
[671/5000][440/535][69089] Loss_D: -0.024191 Loss_G: -0.006041 Loss_D_real: -0.006852 Loss_D_fake 0.017339
[671/5000][445/535][69090] Loss_D: -0.024442 Loss_G: -0.000261 Loss_D_real: -0.004119 Loss_D_fake 0.020324
[671/5000][450/535][69091] Loss_D: -0.025268 Loss_G: 0.023907 Loss_D_real: -0.018950 Loss_D_fake 0.006318
[671/5000][455/535][69092] Loss_D: -0.023117 Loss_G: 0.024862 Loss_D_real: -0.029530 Loss_D_fake -0.006413
[671/5000][460/535][69093] Loss_D: -0.024798 Loss_G: -0.000636 Loss_D_real: -0.004860 Loss_D_fake 0.019938
[671/5000][465/535][69094] Loss_D: -0.022834 Loss_G: 0.028620 Loss_D_real: -0.034271 Loss_D_fake -0.011437
[671/5000][470/535][69095] Loss_D: -0.024182 Loss_G: 0.011130 Loss_D_real: -0.024902 Loss_D_fake -0.000720
[671/5000][475/535][69096] Loss_D: -0.023456 Loss_G: 0.032705 Loss_D_real: -0.023078 Loss_D_fake 0.000379
[671/5000][480/535][69097] Loss_D: -0.023834 Loss_G: 0.016695 Loss_D_real: -0.023228 Loss_D_fake 0.000606
[671/5000][485/535][69098] Loss_D: -0.024034 Loss_G: 0.018408 Loss_D_real: -0.026874 Loss_D_fake -0.002841
[671/5000][490/535][69099] Loss_D: -0.025563 Loss_G: -0.000437 Loss_D_real: -0.001066 Loss_D_fake 0.024497
[671/5000][495/535][69100] Loss_D: -0.023591 Loss_G: 0.002410 Loss_D_real: -0.011048 Loss_D_fake 0.012542
[671/5000][500/535][69101] Loss_D: -0.022809 Loss_G: 0.028340 Loss_D_real: -0.038289 Loss_D_fake -0.015480
[671/5000][505/535][69102] Loss_D: -0.024416 Loss_G: 0.005556 Loss_D_real: -0.016612 Loss_D_fake 0.007804
[671/5000][510/535][69103] Loss_D: -0.023531 Loss_G: 0.026726 Loss_D_real: -0.019310 Loss_D_fake 0.004220
[671/5000][515/535][69104] Loss_D: -0.023423 Loss_G: 0.011597 Loss_D_real: -0.019953 Loss_D_fake 0.003470
[671/5000][520/535][69105] Loss_D: -0.024004 Loss_G: 0.023544 Loss_D_real: -0.033289 Loss_D_fake -0.009285
[671/5000][525/535][69106] Loss_D: -0.023806 Loss_G: 0.027348 Loss_D_real: -0.020217 Loss_D_fake 0.003589
[671/5000][530/535][69107] Loss_D: -0.025729 Loss_G: 0.006482 Loss_D_real: -0.022230 Loss_D_fake 0.003500
[671/5000][535/535][69108] Loss_D: -0.019947 Loss_G: 0.030959 Loss_D_real: -0.010095 Loss_D_fake 0.009851
[672/5000][5/535][69109] Loss_D: -0.023438 Loss_G: -0.002323 Loss_D_real: -0.010509 Loss_D_fake 0.012929
[672/5000][10/535][69110] Loss_D: -0.022454 Loss_G: 0.022938 Loss_D_real: -0.020530 Loss_D_fake 0.001923
[672/5000][15/535][69111] Loss_D: -0.024174 Loss_G: 0.015209 Loss_D_real: -0.012820 Loss_D_fake 0.011354
[672/5000][20/535][69112] Loss_D: -0.023970 Loss_G: 0.010973 Loss_D_real: -0.022676 Loss_D_fake 0.001294
[672/5000][25/535][69113] Loss_D: -0.024310 Loss_G: 0.017776 Loss_D_real: -0.018447 Loss_D_fake 0.005863
[672/5000][30/535][69114] Loss_D: -0.024943 Loss_G: 0.001861 Loss_D_real: -0.009666 Loss_D_fake 0.015277
[672/5000][35/535][69115] Loss_D: -0.024454 Loss_G: 0.003653 Loss_D_real: -0.017729 Loss_D_fake 0.006725
[672/5000][40/535][69116] Loss_D: -0.024221 Loss_G: -0.011738 Loss_D_real: -0.000608 Loss_D_fake 0.023613
[672/5000][45/535][69117] Loss_D: -0.024528 Loss_G: 0.002835 Loss_D_real: -0.016113 Loss_D_fake 0.008415
[672/5000][50/535][69118] Loss_D: -0.023532 Loss_G: 0.026648 Loss_D_real: -0.023364 Loss_D_fake 0.000168
[672/5000][55/535][69119] Loss_D: -0.025109 Loss_G: 0.015191 Loss_D_real: -0.015141 Loss_D_fake 0.009968
[672/5000][60/535][69120] Loss_D: -0.023872 Loss_G: 0.001979 Loss_D_real: -0.007019 Loss_D_fake 0.016853
[672/5000][65/535][69121] Loss_D: -0.024383 Loss_G: 0.013266 Loss_D_real: -0.021453 Loss_D_fake 0.002930
[672/5000][70/535][69122] Loss_D: -0.023700 Loss_G: 0.032291 Loss_D_real: -0.037415 Loss_D_fake -0.013715
[672/5000][75/535][69123] Loss_D: -0.024408 Loss_G: -0.001351 Loss_D_real: -0.002604 Loss_D_fake 0.021804
[672/5000][80/535][69124] Loss_D: -0.024351 Loss_G: 0.012588 Loss_D_real: -0.008898 Loss_D_fake 0.015453
[672/5000][85/535][69125] Loss_D: -0.024173 Loss_G: 0.016136 Loss_D_real: -0.021612 Loss_D_fake 0.002561
[672/5000][90/535][69126] Loss_D: -0.024173 Loss_G: -0.001550 Loss_D_real: -0.003216 Loss_D_fake 0.020957
[672/5000][95/535][69127] Loss_D: -0.024843 Loss_G: -0.002815 Loss_D_real: -0.017914 Loss_D_fake 0.006928
[672/5000][100/535][69128] Loss_D: -0.024013 Loss_G: 0.030747 Loss_D_real: -0.026740 Loss_D_fake -0.002727
[672/5000][105/535][69129] Loss_D: -0.023437 Loss_G: 0.027958 Loss_D_real: -0.031429 Loss_D_fake -0.007991
[672/5000][110/535][69130] Loss_D: -0.025135 Loss_G: 0.019009 Loss_D_real: -0.030036 Loss_D_fake -0.004901
[672/5000][115/535][69131] Loss_D: -0.025811 Loss_G: 0.013864 Loss_D_real: -0.033587 Loss_D_fake -0.007776
[672/5000][120/535][69132] Loss_D: -0.023927 Loss_G: -0.005446 Loss_D_real: -0.008904 Loss_D_fake 0.015022
[672/5000][125/535][69133] Loss_D: -0.023250 Loss_G: 0.021699 Loss_D_real: -0.031958 Loss_D_fake -0.008707
[672/5000][130/535][69134] Loss_D: -0.024412 Loss_G: 0.001977 Loss_D_real: -0.016604 Loss_D_fake 0.007808
[672/5000][135/535][69135] Loss_D: -0.023723 Loss_G: 0.024378 Loss_D_real: -0.022693 Loss_D_fake 0.001031
[672/5000][140/535][69136] Loss_D: -0.023340 Loss_G: -0.011439 Loss_D_real: -0.005144 Loss_D_fake 0.018195
[672/5000][145/535][69137] Loss_D: -0.024657 Loss_G: 0.013116 Loss_D_real: -0.015090 Loss_D_fake 0.009567
[672/5000][150/535][69138] Loss_D: -0.023972 Loss_G: 0.004253 Loss_D_real: -0.007218 Loss_D_fake 0.016755
[672/5000][155/535][69139] Loss_D: -0.023999 Loss_G: -0.003956 Loss_D_real: -0.007711 Loss_D_fake 0.016288
[672/5000][160/535][69140] Loss_D: -0.025181 Loss_G: 0.014696 Loss_D_real: -0.018443 Loss_D_fake 0.006738
[672/5000][165/535][69141] Loss_D: -0.024259 Loss_G: 0.010234 Loss_D_real: -0.020972 Loss_D_fake 0.003287
[672/5000][170/535][69142] Loss_D: -0.023825 Loss_G: 0.016761 Loss_D_real: -0.022862 Loss_D_fake 0.000963
[672/5000][175/535][69143] Loss_D: -0.024481 Loss_G: 0.002261 Loss_D_real: -0.014066 Loss_D_fake 0.010416
[672/5000][180/535][69144] Loss_D: -0.023157 Loss_G: 0.027773 Loss_D_real: -0.035100 Loss_D_fake -0.011943
[672/5000][185/535][69145] Loss_D: -0.025831 Loss_G: 0.006368 Loss_D_real: -0.022101 Loss_D_fake 0.003730
[672/5000][190/535][69146] Loss_D: -0.024720 Loss_G: 0.029673 Loss_D_real: -0.033140 Loss_D_fake -0.008421
[672/5000][195/535][69147] Loss_D: -0.023520 Loss_G: 0.026961 Loss_D_real: -0.025375 Loss_D_fake -0.001855
[672/5000][200/535][69148] Loss_D: -0.025212 Loss_G: 0.014696 Loss_D_real: -0.016974 Loss_D_fake 0.008239
[672/5000][205/535][69149] Loss_D: -0.025443 Loss_G: 0.005537 Loss_D_real: -0.022729 Loss_D_fake 0.002714
[672/5000][210/535][69150] Loss_D: -0.024186 Loss_G: 0.007324 Loss_D_real: -0.003411 Loss_D_fake 0.020776
[672/5000][215/535][69151] Loss_D: -0.026327 Loss_G: 0.019636 Loss_D_real: -0.031842 Loss_D_fake -0.005514
[672/5000][220/535][69152] Loss_D: -0.023732 Loss_G: 0.018873 Loss_D_real: -0.021813 Loss_D_fake 0.001919
[672/5000][225/535][69153] Loss_D: -0.025703 Loss_G: 0.000350 Loss_D_real: -0.006987 Loss_D_fake 0.018716
[672/5000][230/535][69154] Loss_D: -0.022676 Loss_G: -0.011433 Loss_D_real: -0.003062 Loss_D_fake 0.019614
[672/5000][235/535][69155] Loss_D: -0.023795 Loss_G: 0.025584 Loss_D_real: -0.025420 Loss_D_fake -0.001625
[672/5000][240/535][69156] Loss_D: -0.023735 Loss_G: 0.006859 Loss_D_real: -0.019055 Loss_D_fake 0.004680
[672/5000][245/535][69157] Loss_D: -0.025410 Loss_G: 0.015820 Loss_D_real: -0.018277 Loss_D_fake 0.007133
[672/5000][250/535][69158] Loss_D: -0.024791 Loss_G: 0.018693 Loss_D_real: -0.034883 Loss_D_fake -0.010092
[672/5000][255/535][69159] Loss_D: -0.024499 Loss_G: 0.002104 Loss_D_real: -0.014863 Loss_D_fake 0.009636
[672/5000][260/535][69160] Loss_D: -0.023726 Loss_G: 0.021539 Loss_D_real: -0.027565 Loss_D_fake -0.003839
[672/5000][265/535][69161] Loss_D: -0.023621 Loss_G: 0.016803 Loss_D_real: -0.016364 Loss_D_fake 0.007258
[672/5000][270/535][69162] Loss_D: -0.024362 Loss_G: 0.010014 Loss_D_real: -0.012692 Loss_D_fake 0.011670
[672/5000][275/535][69163] Loss_D: -0.023910 Loss_G: 0.025888 Loss_D_real: -0.025818 Loss_D_fake -0.001908
[672/5000][280/535][69164] Loss_D: -0.024267 Loss_G: 0.014457 Loss_D_real: -0.029902 Loss_D_fake -0.005635
[672/5000][285/535][69165] Loss_D: -0.024692 Loss_G: 0.017901 Loss_D_real: -0.017485 Loss_D_fake 0.007207
[672/5000][290/535][69166] Loss_D: -0.024894 Loss_G: -0.000609 Loss_D_real: -0.010944 Loss_D_fake 0.013950
[672/5000][295/535][69167] Loss_D: -0.024172 Loss_G: 0.012671 Loss_D_real: -0.020645 Loss_D_fake 0.003527
[672/5000][300/535][69168] Loss_D: -0.023575 Loss_G: 0.016224 Loss_D_real: -0.032888 Loss_D_fake -0.009314
[672/5000][305/535][69169] Loss_D: -0.024688 Loss_G: 0.021543 Loss_D_real: -0.022415 Loss_D_fake 0.002273
[672/5000][310/535][69170] Loss_D: -0.023329 Loss_G: -0.013751 Loss_D_real: -0.001666 Loss_D_fake 0.021663
[672/5000][315/535][69171] Loss_D: -0.024705 Loss_G: 0.024134 Loss_D_real: -0.015536 Loss_D_fake 0.009169
[672/5000][320/535][69172] Loss_D: -0.021858 Loss_G: -0.017903 Loss_D_real: 0.003186 Loss_D_fake 0.025044
[672/5000][325/535][69173] Loss_D: -0.023185 Loss_G: 0.008258 Loss_D_real: -0.013954 Loss_D_fake 0.009231
[672/5000][330/535][69174] Loss_D: -0.024471 Loss_G: 0.011515 Loss_D_real: -0.021148 Loss_D_fake 0.003323
[672/5000][335/535][69175] Loss_D: -0.023285 Loss_G: 0.013272 Loss_D_real: -0.029183 Loss_D_fake -0.005899
[672/5000][340/535][69176] Loss_D: -0.025115 Loss_G: 0.031029 Loss_D_real: -0.026307 Loss_D_fake -0.001191
[672/5000][345/535][69177] Loss_D: -0.025467 Loss_G: 0.004969 Loss_D_real: -0.013851 Loss_D_fake 0.011616
[672/5000][350/535][69178] Loss_D: -0.024127 Loss_G: 0.022023 Loss_D_real: -0.019835 Loss_D_fake 0.004292
[672/5000][355/535][69179] Loss_D: -0.023527 Loss_G: 0.019100 Loss_D_real: -0.023184 Loss_D_fake 0.000343
[672/5000][360/535][69180] Loss_D: -0.023533 Loss_G: 0.008624 Loss_D_real: -0.020383 Loss_D_fake 0.003149
[672/5000][365/535][69181] Loss_D: -0.022599 Loss_G: 0.027019 Loss_D_real: -0.025061 Loss_D_fake -0.002462
[672/5000][370/535][69182] Loss_D: -0.024934 Loss_G: 0.012289 Loss_D_real: -0.028188 Loss_D_fake -0.003254
[672/5000][375/535][69183] Loss_D: -0.025457 Loss_G: 0.009750 Loss_D_real: -0.015090 Loss_D_fake 0.010367
[672/5000][380/535][69184] Loss_D: -0.025293 Loss_G: 0.016116 Loss_D_real: -0.024433 Loss_D_fake 0.000860
[672/5000][385/535][69185] Loss_D: -0.022762 Loss_G: 0.014214 Loss_D_real: -0.008591 Loss_D_fake 0.014171
[672/5000][390/535][69186] Loss_D: -0.023879 Loss_G: 0.019573 Loss_D_real: -0.015336 Loss_D_fake 0.008543
[672/5000][395/535][69187] Loss_D: -0.024558 Loss_G: 0.005744 Loss_D_real: -0.011329 Loss_D_fake 0.013229
[672/5000][400/535][69188] Loss_D: -0.021936 Loss_G: 0.027256 Loss_D_real: -0.024910 Loss_D_fake -0.002974
[672/5000][405/535][69189] Loss_D: -0.023954 Loss_G: -0.004629 Loss_D_real: -0.003281 Loss_D_fake 0.020673
[672/5000][410/535][69190] Loss_D: -0.023591 Loss_G: 0.014880 Loss_D_real: -0.025425 Loss_D_fake -0.001835
[672/5000][415/535][69191] Loss_D: -0.024186 Loss_G: 0.015304 Loss_D_real: -0.011737 Loss_D_fake 0.012449
[672/5000][420/535][69192] Loss_D: -0.025028 Loss_G: 0.020358 Loss_D_real: -0.016605 Loss_D_fake 0.008424
[672/5000][425/535][69193] Loss_D: -0.022891 Loss_G: 0.025661 Loss_D_real: -0.022091 Loss_D_fake 0.000800
[672/5000][430/535][69194] Loss_D: -0.024441 Loss_G: 0.015264 Loss_D_real: -0.019332 Loss_D_fake 0.005109
[672/5000][435/535][69195] Loss_D: -0.024515 Loss_G: -0.001854 Loss_D_real: -0.016708 Loss_D_fake 0.007807
[672/5000][440/535][69196] Loss_D: -0.023326 Loss_G: 0.015828 Loss_D_real: -0.021722 Loss_D_fake 0.001604
[672/5000][445/535][69197] Loss_D: -0.024150 Loss_G: -0.000791 Loss_D_real: -0.017837 Loss_D_fake 0.006314
[672/5000][450/535][69198] Loss_D: -0.024109 Loss_G: 0.027959 Loss_D_real: -0.021431 Loss_D_fake 0.002678
[672/5000][455/535][69199] Loss_D: -0.023880 Loss_G: -0.007664 Loss_D_real: -0.012845 Loss_D_fake 0.011035
[672/5000][460/535][69200] Loss_D: -0.024588 Loss_G: 0.007981 Loss_D_real: -0.014662 Loss_D_fake 0.009926
[672/5000][465/535][69201] Loss_D: -0.023524 Loss_G: 0.031872 Loss_D_real: -0.025790 Loss_D_fake -0.002266
[672/5000][470/535][69202] Loss_D: -0.024725 Loss_G: 0.012536 Loss_D_real: -0.015365 Loss_D_fake 0.009360
[672/5000][475/535][69203] Loss_D: -0.024858 Loss_G: -0.012871 Loss_D_real: -0.006434 Loss_D_fake 0.018424
[672/5000][480/535][69204] Loss_D: -0.023288 Loss_G: 0.027433 Loss_D_real: -0.030038 Loss_D_fake -0.006749
[672/5000][485/535][69205] Loss_D: -0.024969 Loss_G: -0.002681 Loss_D_real: -0.007545 Loss_D_fake 0.017424
[672/5000][490/535][69206] Loss_D: -0.024745 Loss_G: 0.006500 Loss_D_real: -0.014337 Loss_D_fake 0.010408
[672/5000][495/535][69207] Loss_D: -0.024402 Loss_G: 0.027430 Loss_D_real: -0.023883 Loss_D_fake 0.000519
[672/5000][500/535][69208] Loss_D: -0.024731 Loss_G: 0.017138 Loss_D_real: -0.017222 Loss_D_fake 0.007508
[672/5000][505/535][69209] Loss_D: -0.024537 Loss_G: 0.002799 Loss_D_real: -0.006757 Loss_D_fake 0.017780
[672/5000][510/535][69210] Loss_D: -0.025535 Loss_G: 0.023316 Loss_D_real: -0.020899 Loss_D_fake 0.004635
[672/5000][515/535][69211] Loss_D: -0.024742 Loss_G: -0.006437 Loss_D_real: -0.002287 Loss_D_fake 0.022455
[672/5000][520/535][69212] Loss_D: -0.023222 Loss_G: 0.023054 Loss_D_real: -0.024273 Loss_D_fake -0.001050
[672/5000][525/535][69213] Loss_D: -0.023825 Loss_G: 0.000471 Loss_D_real: -0.006855 Loss_D_fake 0.016969
[672/5000][530/535][69214] Loss_D: -0.024322 Loss_G: 0.013963 Loss_D_real: -0.018938 Loss_D_fake 0.005384
[672/5000][535/535][69215] Loss_D: -0.025521 Loss_G: -0.002020 Loss_D_real: -0.027880 Loss_D_fake -0.002359
[673/5000][5/535][69216] Loss_D: -0.025454 Loss_G: 0.028907 Loss_D_real: -0.026221 Loss_D_fake -0.000766
[673/5000][10/535][69217] Loss_D: -0.023163 Loss_G: 0.025581 Loss_D_real: -0.018924 Loss_D_fake 0.004238
[673/5000][15/535][69218] Loss_D: -0.024334 Loss_G: 0.003696 Loss_D_real: -0.022094 Loss_D_fake 0.002240
[673/5000][20/535][69219] Loss_D: -0.023611 Loss_G: 0.003129 Loss_D_real: -0.021033 Loss_D_fake 0.002578
[673/5000][25/535][69220] Loss_D: -0.023774 Loss_G: 0.026036 Loss_D_real: -0.024643 Loss_D_fake -0.000869
[673/5000][30/535][69221] Loss_D: -0.024374 Loss_G: -0.006883 Loss_D_real: -0.001649 Loss_D_fake 0.022725
[673/5000][35/535][69222] Loss_D: -0.021135 Loss_G: 0.033505 Loss_D_real: -0.023970 Loss_D_fake -0.002835
[673/5000][40/535][69223] Loss_D: -0.025671 Loss_G: 0.013431 Loss_D_real: -0.021264 Loss_D_fake 0.004407
[673/5000][45/535][69224] Loss_D: -0.024239 Loss_G: 0.009038 Loss_D_real: -0.023682 Loss_D_fake 0.000556
[673/5000][50/535][69225] Loss_D: -0.024585 Loss_G: 0.016919 Loss_D_real: -0.019322 Loss_D_fake 0.005262
[673/5000][55/535][69226] Loss_D: -0.024521 Loss_G: -0.001471 Loss_D_real: -0.019068 Loss_D_fake 0.005453
[673/5000][60/535][69227] Loss_D: -0.025076 Loss_G: 0.012193 Loss_D_real: -0.020194 Loss_D_fake 0.004882
[673/5000][65/535][69228] Loss_D: -0.025165 Loss_G: 0.004555 Loss_D_real: -0.015649 Loss_D_fake 0.009517
[673/5000][70/535][69229] Loss_D: -0.024047 Loss_G: 0.016378 Loss_D_real: -0.016120 Loss_D_fake 0.007927
[673/5000][75/535][69230] Loss_D: -0.023212 Loss_G: 0.009670 Loss_D_real: -0.021986 Loss_D_fake 0.001226
[673/5000][80/535][69231] Loss_D: -0.023718 Loss_G: 0.003978 Loss_D_real: -0.013442 Loss_D_fake 0.010277
[673/5000][85/535][69232] Loss_D: -0.025186 Loss_G: -0.001672 Loss_D_real: -0.007872 Loss_D_fake 0.017314
[673/5000][90/535][69233] Loss_D: -0.024591 Loss_G: 0.008940 Loss_D_real: -0.015192 Loss_D_fake 0.009399
[673/5000][95/535][69234] Loss_D: -0.024445 Loss_G: 0.028323 Loss_D_real: -0.023826 Loss_D_fake 0.000619
[673/5000][100/535][69235] Loss_D: -0.022428 Loss_G: -0.013312 Loss_D_real: -0.009913 Loss_D_fake 0.012515
[673/5000][105/535][69236] Loss_D: -0.023833 Loss_G: 0.023812 Loss_D_real: -0.028576 Loss_D_fake -0.004743
[673/5000][110/535][69237] Loss_D: -0.024157 Loss_G: -0.009914 Loss_D_real: -0.014399 Loss_D_fake 0.009758
[673/5000][115/535][69238] Loss_D: -0.025077 Loss_G: 0.014141 Loss_D_real: -0.018846 Loss_D_fake 0.006232
[673/5000][120/535][69239] Loss_D: -0.023541 Loss_G: 0.005023 Loss_D_real: -0.012248 Loss_D_fake 0.011293
[673/5000][125/535][69240] Loss_D: -0.024794 Loss_G: 0.011704 Loss_D_real: -0.024165 Loss_D_fake 0.000629
[673/5000][130/535][69241] Loss_D: -0.024159 Loss_G: 0.003246 Loss_D_real: -0.005295 Loss_D_fake 0.018864
[673/5000][135/535][69242] Loss_D: -0.023267 Loss_G: -0.004134 Loss_D_real: -0.001332 Loss_D_fake 0.021936
[673/5000][140/535][69243] Loss_D: -0.024302 Loss_G: 0.013373 Loss_D_real: -0.021028 Loss_D_fake 0.003274
[673/5000][145/535][69244] Loss_D: -0.023149 Loss_G: -0.015850 Loss_D_real: 0.003535 Loss_D_fake 0.026684
[673/5000][150/535][69245] Loss_D: -0.022966 Loss_G: 0.002243 Loss_D_real: -0.019917 Loss_D_fake 0.003049
[673/5000][155/535][69246] Loss_D: -0.024893 Loss_G: 0.018291 Loss_D_real: -0.026816 Loss_D_fake -0.001923
[673/5000][160/535][69247] Loss_D: -0.024366 Loss_G: -0.000523 Loss_D_real: -0.010206 Loss_D_fake 0.014160
[673/5000][165/535][69248] Loss_D: -0.024112 Loss_G: 0.016866 Loss_D_real: -0.027489 Loss_D_fake -0.003377
[673/5000][170/535][69249] Loss_D: -0.025703 Loss_G: 0.000600 Loss_D_real: -0.013017 Loss_D_fake 0.012686
[673/5000][175/535][69250] Loss_D: -0.023710 Loss_G: 0.006906 Loss_D_real: -0.013809 Loss_D_fake 0.009901
[673/5000][180/535][69251] Loss_D: -0.023767 Loss_G: -0.001349 Loss_D_real: -0.027935 Loss_D_fake -0.004167
[673/5000][185/535][69252] Loss_D: -0.024623 Loss_G: 0.002747 Loss_D_real: -0.005533 Loss_D_fake 0.019090
[673/5000][190/535][69253] Loss_D: -0.023919 Loss_G: -0.002766 Loss_D_real: -0.007408 Loss_D_fake 0.016511
[673/5000][195/535][69254] Loss_D: -0.023913 Loss_G: 0.026730 Loss_D_real: -0.023810 Loss_D_fake 0.000103
[673/5000][200/535][69255] Loss_D: -0.025870 Loss_G: 0.015066 Loss_D_real: -0.014609 Loss_D_fake 0.011261
[673/5000][205/535][69256] Loss_D: -0.024538 Loss_G: 0.004847 Loss_D_real: -0.016691 Loss_D_fake 0.007847
[673/5000][210/535][69257] Loss_D: -0.024148 Loss_G: 0.012478 Loss_D_real: -0.021162 Loss_D_fake 0.002986
[673/5000][215/535][69258] Loss_D: -0.023789 Loss_G: 0.011398 Loss_D_real: -0.009824 Loss_D_fake 0.013965
[673/5000][220/535][69259] Loss_D: -0.024363 Loss_G: 0.007521 Loss_D_real: -0.013819 Loss_D_fake 0.010545
[673/5000][225/535][69260] Loss_D: -0.023907 Loss_G: 0.008957 Loss_D_real: -0.008391 Loss_D_fake 0.015516
[673/5000][230/535][69261] Loss_D: -0.024670 Loss_G: 0.011415 Loss_D_real: -0.016115 Loss_D_fake 0.008555
[673/5000][235/535][69262] Loss_D: -0.024158 Loss_G: 0.014361 Loss_D_real: -0.020553 Loss_D_fake 0.003605
[673/5000][240/535][69263] Loss_D: -0.024811 Loss_G: 0.031306 Loss_D_real: -0.029360 Loss_D_fake -0.004549
[673/5000][245/535][69264] Loss_D: -0.023422 Loss_G: -0.000292 Loss_D_real: -0.004315 Loss_D_fake 0.019108
[673/5000][250/535][69265] Loss_D: -0.024546 Loss_G: 0.003811 Loss_D_real: -0.014981 Loss_D_fake 0.009566
[673/5000][255/535][69266] Loss_D: -0.022971 Loss_G: 0.022171 Loss_D_real: -0.023448 Loss_D_fake -0.000477
[673/5000][260/535][69267] Loss_D: -0.023808 Loss_G: 0.023146 Loss_D_real: -0.026190 Loss_D_fake -0.002382
[673/5000][265/535][69268] Loss_D: -0.024837 Loss_G: 0.003904 Loss_D_real: -0.019206 Loss_D_fake 0.005632
[673/5000][270/535][69269] Loss_D: -0.024379 Loss_G: 0.024886 Loss_D_real: -0.023811 Loss_D_fake 0.000568
[673/5000][275/535][69270] Loss_D: -0.022174 Loss_G: -0.007846 Loss_D_real: 0.005620 Loss_D_fake 0.027794
[673/5000][280/535][69271] Loss_D: -0.023387 Loss_G: 0.004725 Loss_D_real: -0.007258 Loss_D_fake 0.016129
[673/5000][285/535][69272] Loss_D: -0.023498 Loss_G: -0.007214 Loss_D_real: -0.003981 Loss_D_fake 0.019516
[673/5000][290/535][69273] Loss_D: -0.023172 Loss_G: 0.006247 Loss_D_real: -0.020591 Loss_D_fake 0.002581
[673/5000][295/535][69274] Loss_D: -0.024894 Loss_G: 0.008991 Loss_D_real: -0.017776 Loss_D_fake 0.007118
[673/5000][300/535][69275] Loss_D: -0.024964 Loss_G: 0.021582 Loss_D_real: -0.010773 Loss_D_fake 0.014191
[673/5000][305/535][69276] Loss_D: -0.024353 Loss_G: 0.017577 Loss_D_real: -0.023884 Loss_D_fake 0.000469
[673/5000][310/535][69277] Loss_D: -0.025236 Loss_G: 0.025398 Loss_D_real: -0.031060 Loss_D_fake -0.005824
[673/5000][315/535][69278] Loss_D: -0.024346 Loss_G: -0.005474 Loss_D_real: -0.002113 Loss_D_fake 0.022233
[673/5000][320/535][69279] Loss_D: -0.024486 Loss_G: 0.025449 Loss_D_real: -0.010450 Loss_D_fake 0.014036
[673/5000][325/535][69280] Loss_D: -0.023524 Loss_G: 0.005485 Loss_D_real: -0.013369 Loss_D_fake 0.010155
[673/5000][330/535][69281] Loss_D: -0.023264 Loss_G: 0.014142 Loss_D_real: -0.028845 Loss_D_fake -0.005581
[673/5000][335/535][69282] Loss_D: -0.025154 Loss_G: 0.006321 Loss_D_real: -0.003536 Loss_D_fake 0.021618
[673/5000][340/535][69283] Loss_D: -0.022606 Loss_G: 0.019011 Loss_D_real: -0.032552 Loss_D_fake -0.009945
[673/5000][345/535][69284] Loss_D: -0.024366 Loss_G: 0.018731 Loss_D_real: -0.014009 Loss_D_fake 0.010357
[673/5000][350/535][69285] Loss_D: -0.025253 Loss_G: -0.003111 Loss_D_real: -0.007625 Loss_D_fake 0.017628
[673/5000][355/535][69286] Loss_D: -0.024113 Loss_G: 0.029662 Loss_D_real: -0.035191 Loss_D_fake -0.011078
[673/5000][360/535][69287] Loss_D: -0.024901 Loss_G: -0.006231 Loss_D_real: -0.014059 Loss_D_fake 0.010841
[673/5000][365/535][69288] Loss_D: -0.024585 Loss_G: 0.012131 Loss_D_real: -0.013651 Loss_D_fake 0.010934
[673/5000][370/535][69289] Loss_D: -0.022877 Loss_G: -0.019871 Loss_D_real: 0.003581 Loss_D_fake 0.026458
[673/5000][375/535][69290] Loss_D: -0.023777 Loss_G: 0.016283 Loss_D_real: -0.023319 Loss_D_fake 0.000458
[673/5000][380/535][69291] Loss_D: -0.022689 Loss_G: 0.003217 Loss_D_real: -0.007618 Loss_D_fake 0.015072
[673/5000][385/535][69292] Loss_D: -0.023787 Loss_G: -0.003845 Loss_D_real: -0.006901 Loss_D_fake 0.016886
[673/5000][390/535][69293] Loss_D: -0.023697 Loss_G: -0.003562 Loss_D_real: -0.015855 Loss_D_fake 0.007842
[673/5000][395/535][69294] Loss_D: -0.023507 Loss_G: 0.015960 Loss_D_real: -0.021807 Loss_D_fake 0.001700
[673/5000][400/535][69295] Loss_D: -0.024838 Loss_G: 0.010564 Loss_D_real: -0.020764 Loss_D_fake 0.004074
[673/5000][405/535][69296] Loss_D: -0.023866 Loss_G: 0.017269 Loss_D_real: -0.020855 Loss_D_fake 0.003011
[673/5000][410/535][69297] Loss_D: -0.021992 Loss_G: -0.014054 Loss_D_real: 0.000471 Loss_D_fake 0.022463
[673/5000][415/535][69298] Loss_D: -0.023868 Loss_G: 0.024921 Loss_D_real: -0.020162 Loss_D_fake 0.003706
[673/5000][420/535][69299] Loss_D: -0.024827 Loss_G: -0.000786 Loss_D_real: -0.014096 Loss_D_fake 0.010731
[673/5000][425/535][69300] Loss_D: -0.023784 Loss_G: 0.007809 Loss_D_real: -0.017275 Loss_D_fake 0.006510
[673/5000][430/535][69301] Loss_D: -0.023905 Loss_G: -0.007857 Loss_D_real: -0.010429 Loss_D_fake 0.013475
[673/5000][435/535][69302] Loss_D: -0.023861 Loss_G: 0.013298 Loss_D_real: -0.018372 Loss_D_fake 0.005489
[673/5000][440/535][69303] Loss_D: -0.024733 Loss_G: 0.014602 Loss_D_real: -0.017489 Loss_D_fake 0.007244
[673/5000][445/535][69304] Loss_D: -0.024345 Loss_G: -0.016037 Loss_D_real: -0.002616 Loss_D_fake 0.021729
[673/5000][450/535][69305] Loss_D: -0.023461 Loss_G: 0.016472 Loss_D_real: -0.016828 Loss_D_fake 0.006633
[673/5000][455/535][69306] Loss_D: -0.023683 Loss_G: -0.002281 Loss_D_real: -0.009877 Loss_D_fake 0.013806
[673/5000][460/535][69307] Loss_D: -0.024665 Loss_G: 0.001331 Loss_D_real: -0.010878 Loss_D_fake 0.013786
[673/5000][465/535][69308] Loss_D: -0.023448 Loss_G: -0.000287 Loss_D_real: 0.007365 Loss_D_fake 0.030813
[673/5000][470/535][69309] Loss_D: -0.023779 Loss_G: 0.025731 Loss_D_real: -0.022719 Loss_D_fake 0.001059
[673/5000][475/535][69310] Loss_D: -0.023536 Loss_G: 0.006074 Loss_D_real: -0.011749 Loss_D_fake 0.011787
[673/5000][480/535][69311] Loss_D: -0.022999 Loss_G: 0.030212 Loss_D_real: -0.028686 Loss_D_fake -0.005688
[673/5000][485/535][69312] Loss_D: -0.022710 Loss_G: 0.028935 Loss_D_real: -0.032573 Loss_D_fake -0.009863
[673/5000][490/535][69313] Loss_D: -0.025060 Loss_G: 0.010300 Loss_D_real: -0.012385 Loss_D_fake 0.012675
[673/5000][495/535][69314] Loss_D: -0.023024 Loss_G: 0.027273 Loss_D_real: -0.040458 Loss_D_fake -0.017434
[673/5000][500/535][69315] Loss_D: -0.024668 Loss_G: 0.007937 Loss_D_real: -0.021601 Loss_D_fake 0.003067
[673/5000][505/535][69316] Loss_D: -0.024780 Loss_G: 0.020284 Loss_D_real: -0.034903 Loss_D_fake -0.010123
[673/5000][510/535][69317] Loss_D: -0.025382 Loss_G: -0.009615 Loss_D_real: -0.010638 Loss_D_fake 0.014745
[673/5000][515/535][69318] Loss_D: -0.024377 Loss_G: 0.023231 Loss_D_real: -0.030585 Loss_D_fake -0.006207
[673/5000][520/535][69319] Loss_D: -0.024179 Loss_G: 0.021681 Loss_D_real: -0.021809 Loss_D_fake 0.002371
[673/5000][525/535][69320] Loss_D: -0.023697 Loss_G: 0.016495 Loss_D_real: -0.033352 Loss_D_fake -0.009655
[673/5000][530/535][69321] Loss_D: -0.023343 Loss_G: 0.024113 Loss_D_real: -0.025678 Loss_D_fake -0.002335
[673/5000][535/535][69322] Loss_D: -0.022318 Loss_G: 0.026275 Loss_D_real: -0.028195 Loss_D_fake -0.005877
[674/5000][5/535][69323] Loss_D: -0.023536 Loss_G: 0.024272 Loss_D_real: -0.024910 Loss_D_fake -0.001375
[674/5000][10/535][69324] Loss_D: -0.024267 Loss_G: 0.004104 Loss_D_real: -0.016534 Loss_D_fake 0.007733
[674/5000][15/535][69325] Loss_D: -0.024594 Loss_G: 0.001327 Loss_D_real: -0.008066 Loss_D_fake 0.016528
[674/5000][20/535][69326] Loss_D: -0.023309 Loss_G: 0.019943 Loss_D_real: -0.013389 Loss_D_fake 0.009920
[674/5000][25/535][69327] Loss_D: -0.024075 Loss_G: 0.015677 Loss_D_real: -0.019022 Loss_D_fake 0.005053
[674/5000][30/535][69328] Loss_D: -0.025157 Loss_G: 0.018399 Loss_D_real: -0.019768 Loss_D_fake 0.005389
[674/5000][35/535][69329] Loss_D: -0.023874 Loss_G: 0.005370 Loss_D_real: -0.016555 Loss_D_fake 0.007320
[674/5000][40/535][69330] Loss_D: -0.025508 Loss_G: 0.004544 Loss_D_real: -0.005164 Loss_D_fake 0.020344
[674/5000][45/535][69331] Loss_D: -0.023941 Loss_G: 0.018899 Loss_D_real: -0.030598 Loss_D_fake -0.006657
[674/5000][50/535][69332] Loss_D: -0.025103 Loss_G: -0.001682 Loss_D_real: -0.011766 Loss_D_fake 0.013337
[674/5000][55/535][69333] Loss_D: -0.021973 Loss_G: 0.021775 Loss_D_real: -0.033700 Loss_D_fake -0.011727
[674/5000][60/535][69334] Loss_D: -0.024386 Loss_G: 0.003204 Loss_D_real: -0.014637 Loss_D_fake 0.009750
[674/5000][65/535][69335] Loss_D: -0.025466 Loss_G: 0.020856 Loss_D_real: -0.030583 Loss_D_fake -0.005118
[674/5000][70/535][69336] Loss_D: -0.023470 Loss_G: -0.012119 Loss_D_real: 0.005306 Loss_D_fake 0.028777
[674/5000][75/535][69337] Loss_D: -0.025254 Loss_G: 0.010282 Loss_D_real: -0.021869 Loss_D_fake 0.003385
[674/5000][80/535][69338] Loss_D: -0.024427 Loss_G: 0.027377 Loss_D_real: -0.021599 Loss_D_fake 0.002828
[674/5000][85/535][69339] Loss_D: -0.024292 Loss_G: 0.001568 Loss_D_real: -0.013315 Loss_D_fake 0.010977
[674/5000][90/535][69340] Loss_D: -0.023728 Loss_G: 0.027377 Loss_D_real: -0.033823 Loss_D_fake -0.010095
[674/5000][95/535][69341] Loss_D: -0.024443 Loss_G: -0.001001 Loss_D_real: -0.004956 Loss_D_fake 0.019487
[674/5000][100/535][69342] Loss_D: -0.024016 Loss_G: 0.021790 Loss_D_real: -0.020396 Loss_D_fake 0.003619
[674/5000][105/535][69343] Loss_D: -0.023271 Loss_G: 0.006633 Loss_D_real: -0.019252 Loss_D_fake 0.004019
[674/5000][110/535][69344] Loss_D: -0.024027 Loss_G: -0.001507 Loss_D_real: -0.009836 Loss_D_fake 0.014191
[674/5000][115/535][69345] Loss_D: -0.024047 Loss_G: 0.008414 Loss_D_real: -0.022013 Loss_D_fake 0.002034
[674/5000][120/535][69346] Loss_D: -0.023941 Loss_G: 0.000977 Loss_D_real: -0.000619 Loss_D_fake 0.023323
[674/5000][125/535][69347] Loss_D: -0.024866 Loss_G: 0.012754 Loss_D_real: -0.015565 Loss_D_fake 0.009301
[674/5000][130/535][69348] Loss_D: -0.022119 Loss_G: 0.009340 Loss_D_real: -0.019133 Loss_D_fake 0.002986
[674/5000][135/535][69349] Loss_D: -0.024324 Loss_G: 0.007883 Loss_D_real: -0.018636 Loss_D_fake 0.005687
[674/5000][140/535][69350] Loss_D: -0.024392 Loss_G: 0.021670 Loss_D_real: -0.030314 Loss_D_fake -0.005923
[674/5000][145/535][69351] Loss_D: -0.025122 Loss_G: 0.007537 Loss_D_real: -0.010344 Loss_D_fake 0.014777
[674/5000][150/535][69352] Loss_D: -0.024530 Loss_G: -0.002954 Loss_D_real: -0.010059 Loss_D_fake 0.014472
[674/5000][155/535][69353] Loss_D: -0.025193 Loss_G: 0.003455 Loss_D_real: -0.006298 Loss_D_fake 0.018896
[674/5000][160/535][69354] Loss_D: -0.025052 Loss_G: 0.004425 Loss_D_real: -0.006539 Loss_D_fake 0.018514
[674/5000][165/535][69355] Loss_D: -0.025061 Loss_G: 0.021678 Loss_D_real: -0.020128 Loss_D_fake 0.004933
[674/5000][170/535][69356] Loss_D: -0.023122 Loss_G: 0.004563 Loss_D_real: -0.013266 Loss_D_fake 0.009856
[674/5000][175/535][69357] Loss_D: -0.024682 Loss_G: 0.017295 Loss_D_real: -0.021446 Loss_D_fake 0.003235
[674/5000][180/535][69358] Loss_D: -0.024886 Loss_G: 0.008862 Loss_D_real: -0.018361 Loss_D_fake 0.006525
[674/5000][185/535][69359] Loss_D: -0.024142 Loss_G: 0.031535 Loss_D_real: -0.025981 Loss_D_fake -0.001839
[674/5000][190/535][69360] Loss_D: -0.024986 Loss_G: -0.008475 Loss_D_real: -0.007956 Loss_D_fake 0.017029
[674/5000][195/535][69361] Loss_D: -0.024772 Loss_G: 0.016371 Loss_D_real: -0.023307 Loss_D_fake 0.001465
[674/5000][200/535][69362] Loss_D: -0.024220 Loss_G: -0.005218 Loss_D_real: -0.013227 Loss_D_fake 0.010992
[674/5000][205/535][69363] Loss_D: -0.025004 Loss_G: 0.016636 Loss_D_real: -0.026497 Loss_D_fake -0.001493
[674/5000][210/535][69364] Loss_D: -0.024565 Loss_G: 0.009656 Loss_D_real: -0.018979 Loss_D_fake 0.005586
[674/5000][215/535][69365] Loss_D: -0.024873 Loss_G: 0.032191 Loss_D_real: -0.035544 Loss_D_fake -0.010672
[674/5000][220/535][69366] Loss_D: -0.023696 Loss_G: -0.016844 Loss_D_real: 0.001442 Loss_D_fake 0.025138
[674/5000][225/535][69367] Loss_D: -0.021825 Loss_G: 0.023928 Loss_D_real: -0.033007 Loss_D_fake -0.011182
[674/5000][230/535][69368] Loss_D: -0.023860 Loss_G: 0.005558 Loss_D_real: -0.014750 Loss_D_fake 0.009110
[674/5000][235/535][69369] Loss_D: -0.025152 Loss_G: 0.004958 Loss_D_real: -0.015626 Loss_D_fake 0.009526
[674/5000][240/535][69370] Loss_D: -0.025174 Loss_G: 0.004614 Loss_D_real: -0.012704 Loss_D_fake 0.012469
[674/5000][245/535][69371] Loss_D: -0.024883 Loss_G: 0.012371 Loss_D_real: -0.009043 Loss_D_fake 0.015840
[674/5000][250/535][69372] Loss_D: -0.024331 Loss_G: -0.002254 Loss_D_real: -0.003875 Loss_D_fake 0.020456
[674/5000][255/535][69373] Loss_D: -0.025050 Loss_G: 0.016534 Loss_D_real: -0.021466 Loss_D_fake 0.003584
[674/5000][260/535][69374] Loss_D: -0.025501 Loss_G: 0.011515 Loss_D_real: -0.011113 Loss_D_fake 0.014388
[674/5000][265/535][69375] Loss_D: -0.024227 Loss_G: 0.010767 Loss_D_real: -0.013291 Loss_D_fake 0.010936
[674/5000][270/535][69376] Loss_D: -0.024594 Loss_G: -0.000974 Loss_D_real: -0.008210 Loss_D_fake 0.016384
[674/5000][275/535][69377] Loss_D: -0.024103 Loss_G: 0.017261 Loss_D_real: -0.024415 Loss_D_fake -0.000311
[674/5000][280/535][69378] Loss_D: -0.024594 Loss_G: 0.015559 Loss_D_real: -0.034791 Loss_D_fake -0.010197
[674/5000][285/535][69379] Loss_D: -0.024380 Loss_G: 0.011289 Loss_D_real: -0.024779 Loss_D_fake -0.000399
[674/5000][290/535][69380] Loss_D: -0.025666 Loss_G: 0.022069 Loss_D_real: -0.026891 Loss_D_fake -0.001225
[674/5000][295/535][69381] Loss_D: -0.026265 Loss_G: 0.014188 Loss_D_real: -0.016528 Loss_D_fake 0.009737
[674/5000][300/535][69382] Loss_D: -0.024208 Loss_G: 0.009620 Loss_D_real: -0.012704 Loss_D_fake 0.011504
[674/5000][305/535][69383] Loss_D: -0.022726 Loss_G: -0.004014 Loss_D_real: -0.004272 Loss_D_fake 0.018453
[674/5000][310/535][69384] Loss_D: -0.023436 Loss_G: 0.021157 Loss_D_real: -0.019685 Loss_D_fake 0.003751
[674/5000][315/535][69385] Loss_D: -0.025337 Loss_G: 0.012941 Loss_D_real: -0.018026 Loss_D_fake 0.007312
[674/5000][320/535][69386] Loss_D: -0.024127 Loss_G: 0.012060 Loss_D_real: -0.022296 Loss_D_fake 0.001831
[674/5000][325/535][69387] Loss_D: -0.024043 Loss_G: 0.013363 Loss_D_real: -0.023090 Loss_D_fake 0.000953
[674/5000][330/535][69388] Loss_D: -0.023226 Loss_G: 0.019308 Loss_D_real: -0.025321 Loss_D_fake -0.002095
[674/5000][335/535][69389] Loss_D: -0.023105 Loss_G: 0.014119 Loss_D_real: -0.019572 Loss_D_fake 0.003534
[674/5000][340/535][69390] Loss_D: -0.024526 Loss_G: 0.007252 Loss_D_real: -0.015603 Loss_D_fake 0.008923
[674/5000][345/535][69391] Loss_D: -0.025176 Loss_G: 0.005459 Loss_D_real: -0.016603 Loss_D_fake 0.008573
[674/5000][350/535][69392] Loss_D: -0.025358 Loss_G: 0.008760 Loss_D_real: -0.011655 Loss_D_fake 0.013703
[674/5000][355/535][69393] Loss_D: -0.024508 Loss_G: 0.027010 Loss_D_real: -0.030312 Loss_D_fake -0.005804
[674/5000][360/535][69394] Loss_D: -0.025502 Loss_G: 0.005271 Loss_D_real: -0.014937 Loss_D_fake 0.010565
[674/5000][365/535][69395] Loss_D: -0.023932 Loss_G: 0.016113 Loss_D_real: -0.024612 Loss_D_fake -0.000679
[674/5000][370/535][69396] Loss_D: -0.025015 Loss_G: 0.003638 Loss_D_real: -0.006980 Loss_D_fake 0.018035
[674/5000][375/535][69397] Loss_D: -0.023842 Loss_G: 0.021452 Loss_D_real: -0.026040 Loss_D_fake -0.002198
[674/5000][380/535][69398] Loss_D: -0.023342 Loss_G: 0.024381 Loss_D_real: -0.028422 Loss_D_fake -0.005080
[674/5000][385/535][69399] Loss_D: -0.024932 Loss_G: 0.024015 Loss_D_real: -0.029541 Loss_D_fake -0.004609
[674/5000][390/535][69400] Loss_D: -0.024867 Loss_G: 0.022364 Loss_D_real: -0.019907 Loss_D_fake 0.004960
[674/5000][395/535][69401] Loss_D: -0.023851 Loss_G: -0.010589 Loss_D_real: 0.009032 Loss_D_fake 0.032882
[674/5000][400/535][69402] Loss_D: -0.024092 Loss_G: 0.015277 Loss_D_real: -0.009120 Loss_D_fake 0.014972
[674/5000][405/535][69403] Loss_D: -0.025226 Loss_G: -0.019187 Loss_D_real: -0.010364 Loss_D_fake 0.014862
[674/5000][410/535][69404] Loss_D: -0.022965 Loss_G: 0.022284 Loss_D_real: -0.025438 Loss_D_fake -0.002473
[674/5000][415/535][69405] Loss_D: -0.023027 Loss_G: -0.004602 Loss_D_real: -0.000640 Loss_D_fake 0.022387
[674/5000][420/535][69406] Loss_D: -0.023630 Loss_G: 0.014121 Loss_D_real: -0.019984 Loss_D_fake 0.003646
[674/5000][425/535][69407] Loss_D: -0.025020 Loss_G: 0.007841 Loss_D_real: -0.011165 Loss_D_fake 0.013855
[674/5000][430/535][69408] Loss_D: -0.023576 Loss_G: 0.021347 Loss_D_real: -0.029963 Loss_D_fake -0.006387
[674/5000][435/535][69409] Loss_D: -0.024422 Loss_G: 0.009064 Loss_D_real: -0.016895 Loss_D_fake 0.007527
[674/5000][440/535][69410] Loss_D: -0.024618 Loss_G: 0.009114 Loss_D_real: -0.009428 Loss_D_fake 0.015190
[674/5000][445/535][69411] Loss_D: -0.025417 Loss_G: 0.012668 Loss_D_real: -0.017516 Loss_D_fake 0.007901
[674/5000][450/535][69412] Loss_D: -0.023893 Loss_G: 0.001765 Loss_D_real: -0.010015 Loss_D_fake 0.013878
[674/5000][455/535][69413] Loss_D: -0.024444 Loss_G: 0.008220 Loss_D_real: -0.018304 Loss_D_fake 0.006140
[674/5000][460/535][69414] Loss_D: -0.025155 Loss_G: 0.021815 Loss_D_real: -0.036108 Loss_D_fake -0.010953
[674/5000][465/535][69415] Loss_D: -0.024156 Loss_G: 0.017460 Loss_D_real: -0.021473 Loss_D_fake 0.002683
[674/5000][470/535][69416] Loss_D: -0.023610 Loss_G: 0.007992 Loss_D_real: -0.014412 Loss_D_fake 0.009198
[674/5000][475/535][69417] Loss_D: -0.024414 Loss_G: 0.012813 Loss_D_real: -0.014427 Loss_D_fake 0.009987
[674/5000][480/535][69418] Loss_D: -0.024414 Loss_G: 0.000869 Loss_D_real: -0.024478 Loss_D_fake -0.000064
[674/5000][485/535][69419] Loss_D: -0.024711 Loss_G: 0.000496 Loss_D_real: -0.014533 Loss_D_fake 0.010178
[674/5000][490/535][69420] Loss_D: -0.023438 Loss_G: 0.014975 Loss_D_real: -0.022846 Loss_D_fake 0.000592
[674/5000][495/535][69421] Loss_D: -0.024243 Loss_G: 0.003809 Loss_D_real: -0.021906 Loss_D_fake 0.002337
[674/5000][500/535][69422] Loss_D: -0.023708 Loss_G: 0.032957 Loss_D_real: -0.031102 Loss_D_fake -0.007394
[674/5000][505/535][69423] Loss_D: -0.024935 Loss_G: -0.010002 Loss_D_real: -0.008448 Loss_D_fake 0.016486
[674/5000][510/535][69424] Loss_D: -0.024513 Loss_G: -0.000616 Loss_D_real: -0.007237 Loss_D_fake 0.017275
[674/5000][515/535][69425] Loss_D: -0.023502 Loss_G: 0.028209 Loss_D_real: -0.021448 Loss_D_fake 0.002054
[674/5000][520/535][69426] Loss_D: -0.023634 Loss_G: 0.032471 Loss_D_real: -0.025150 Loss_D_fake -0.001516
[674/5000][525/535][69427] Loss_D: -0.024070 Loss_G: -0.001391 Loss_D_real: -0.012265 Loss_D_fake 0.011805
[674/5000][530/535][69428] Loss_D: -0.023854 Loss_G: 0.027269 Loss_D_real: -0.025312 Loss_D_fake -0.001458
[674/5000][535/535][69429] Loss_D: -0.024644 Loss_G: -0.012760 Loss_D_real: -0.008438 Loss_D_fake 0.016205
[675/5000][5/535][69430] Loss_D: -0.023953 Loss_G: 0.013105 Loss_D_real: -0.019117 Loss_D_fake 0.004837
[675/5000][10/535][69431] Loss_D: -0.023895 Loss_G: 0.005208 Loss_D_real: -0.006977 Loss_D_fake 0.016919
[675/5000][15/535][69432] Loss_D: -0.023343 Loss_G: 0.000980 Loss_D_real: -0.014661 Loss_D_fake 0.008682
[675/5000][20/535][69433] Loss_D: -0.023713 Loss_G: 0.005560 Loss_D_real: -0.006038 Loss_D_fake 0.017675
[675/5000][25/535][69434] Loss_D: -0.023704 Loss_G: 0.005812 Loss_D_real: -0.013153 Loss_D_fake 0.010551
[675/5000][30/535][69435] Loss_D: -0.023472 Loss_G: 0.003391 Loss_D_real: -0.017135 Loss_D_fake 0.006338
[675/5000][35/535][69436] Loss_D: -0.025210 Loss_G: 0.005468 Loss_D_real: -0.016542 Loss_D_fake 0.008668
[675/5000][40/535][69437] Loss_D: -0.022644 Loss_G: 0.023644 Loss_D_real: -0.032660 Loss_D_fake -0.010015
[675/5000][45/535][69438] Loss_D: -0.024222 Loss_G: 0.007002 Loss_D_real: -0.014257 Loss_D_fake 0.009966
[675/5000][50/535][69439] Loss_D: -0.022978 Loss_G: 0.004173 Loss_D_real: -0.011571 Loss_D_fake 0.011406
[675/5000][55/535][69440] Loss_D: -0.022626 Loss_G: 0.018608 Loss_D_real: -0.022252 Loss_D_fake 0.000374
[675/5000][60/535][69441] Loss_D: -0.024140 Loss_G: 0.018439 Loss_D_real: -0.023938 Loss_D_fake 0.000201
[675/5000][65/535][69442] Loss_D: -0.022887 Loss_G: 0.031960 Loss_D_real: -0.042211 Loss_D_fake -0.019324
[675/5000][70/535][69443] Loss_D: -0.024288 Loss_G: 0.017182 Loss_D_real: -0.022239 Loss_D_fake 0.002049
[675/5000][75/535][69444] Loss_D: -0.025213 Loss_G: 0.016007 Loss_D_real: -0.033401 Loss_D_fake -0.008188
[675/5000][80/535][69445] Loss_D: -0.023594 Loss_G: 0.000888 Loss_D_real: -0.015598 Loss_D_fake 0.007996
[675/5000][85/535][69446] Loss_D: -0.024424 Loss_G: 0.015104 Loss_D_real: -0.028308 Loss_D_fake -0.003884
[675/5000][90/535][69447] Loss_D: -0.025064 Loss_G: 0.019163 Loss_D_real: -0.026897 Loss_D_fake -0.001833
[675/5000][95/535][69448] Loss_D: -0.023959 Loss_G: 0.004354 Loss_D_real: -0.019718 Loss_D_fake 0.004241
[675/5000][100/535][69449] Loss_D: -0.022721 Loss_G: 0.030517 Loss_D_real: -0.019365 Loss_D_fake 0.003356
[675/5000][105/535][69450] Loss_D: -0.024676 Loss_G: 0.009637 Loss_D_real: -0.016120 Loss_D_fake 0.008556
[675/5000][110/535][69451] Loss_D: -0.024560 Loss_G: -0.001230 Loss_D_real: -0.019335 Loss_D_fake 0.005225
[675/5000][115/535][69452] Loss_D: -0.023132 Loss_G: 0.020428 Loss_D_real: -0.015348 Loss_D_fake 0.007784
[675/5000][120/535][69453] Loss_D: -0.023672 Loss_G: 0.017363 Loss_D_real: -0.018463 Loss_D_fake 0.005210
[675/5000][125/535][69454] Loss_D: -0.024035 Loss_G: 0.010058 Loss_D_real: -0.007235 Loss_D_fake 0.016800
[675/5000][130/535][69455] Loss_D: -0.023584 Loss_G: -0.001351 Loss_D_real: -0.009550 Loss_D_fake 0.014034
[675/5000][135/535][69456] Loss_D: -0.021863 Loss_G: 0.031757 Loss_D_real: -0.030097 Loss_D_fake -0.008234
[675/5000][140/535][69457] Loss_D: -0.024893 Loss_G: 0.004111 Loss_D_real: -0.011999 Loss_D_fake 0.012895
[675/5000][145/535][69458] Loss_D: -0.024315 Loss_G: 0.010701 Loss_D_real: -0.024166 Loss_D_fake 0.000148
[675/5000][150/535][69459] Loss_D: -0.025290 Loss_G: 0.002222 Loss_D_real: -0.010196 Loss_D_fake 0.015093
[675/5000][155/535][69460] Loss_D: -0.026557 Loss_G: 0.001990 Loss_D_real: -0.009783 Loss_D_fake 0.016774
[675/5000][160/535][69461] Loss_D: -0.024985 Loss_G: 0.004291 Loss_D_real: -0.015466 Loss_D_fake 0.009519
[675/5000][165/535][69462] Loss_D: -0.023770 Loss_G: 0.024190 Loss_D_real: -0.022930 Loss_D_fake 0.000840
[675/5000][170/535][69463] Loss_D: -0.024699 Loss_G: 0.007426 Loss_D_real: -0.021188 Loss_D_fake 0.003512
[675/5000][175/535][69464] Loss_D: -0.023455 Loss_G: 0.022926 Loss_D_real: -0.029110 Loss_D_fake -0.005655
[675/5000][180/535][69465] Loss_D: -0.024556 Loss_G: -0.011360 Loss_D_real: -0.006170 Loss_D_fake 0.018386
[675/5000][185/535][69466] Loss_D: -0.023152 Loss_G: 0.014739 Loss_D_real: -0.030703 Loss_D_fake -0.007551
[675/5000][190/535][69467] Loss_D: -0.024706 Loss_G: 0.008912 Loss_D_real: -0.017332 Loss_D_fake 0.007374
[675/5000][195/535][69468] Loss_D: -0.024572 Loss_G: 0.008939 Loss_D_real: -0.007479 Loss_D_fake 0.017093
[675/5000][200/535][69469] Loss_D: -0.024480 Loss_G: 0.022515 Loss_D_real: -0.028566 Loss_D_fake -0.004086
[675/5000][205/535][69470] Loss_D: -0.023964 Loss_G: 0.021630 Loss_D_real: -0.015325 Loss_D_fake 0.008639
[675/5000][210/535][69471] Loss_D: -0.024782 Loss_G: -0.001105 Loss_D_real: -0.013670 Loss_D_fake 0.011112
[675/5000][215/535][69472] Loss_D: -0.024181 Loss_G: -0.010737 Loss_D_real: -0.013645 Loss_D_fake 0.010536
[675/5000][220/535][69473] Loss_D: -0.024710 Loss_G: 0.011239 Loss_D_real: -0.016737 Loss_D_fake 0.007973
[675/5000][225/535][69474] Loss_D: -0.025143 Loss_G: 0.004095 Loss_D_real: -0.000502 Loss_D_fake 0.024640
[675/5000][230/535][69475] Loss_D: -0.024977 Loss_G: 0.002894 Loss_D_real: -0.008004 Loss_D_fake 0.016972
[675/5000][235/535][69476] Loss_D: -0.023292 Loss_G: 0.009641 Loss_D_real: -0.012100 Loss_D_fake 0.011192
[675/5000][240/535][69477] Loss_D: -0.022284 Loss_G: 0.037445 Loss_D_real: -0.035402 Loss_D_fake -0.013118
[675/5000][245/535][69478] Loss_D: -0.025433 Loss_G: 0.012282 Loss_D_real: -0.015681 Loss_D_fake 0.009751
[675/5000][250/535][69479] Loss_D: -0.024229 Loss_G: 0.018382 Loss_D_real: -0.025988 Loss_D_fake -0.001759
[675/5000][255/535][69480] Loss_D: -0.023866 Loss_G: 0.018160 Loss_D_real: -0.019176 Loss_D_fake 0.004690
[675/5000][260/535][69481] Loss_D: -0.026590 Loss_G: 0.023962 Loss_D_real: -0.026858 Loss_D_fake -0.000268
[675/5000][265/535][69482] Loss_D: -0.023900 Loss_G: 0.017438 Loss_D_real: -0.021004 Loss_D_fake 0.002896
[675/5000][270/535][69483] Loss_D: -0.025078 Loss_G: 0.006412 Loss_D_real: -0.019138 Loss_D_fake 0.005939
[675/5000][275/535][69484] Loss_D: -0.023868 Loss_G: 0.014032 Loss_D_real: -0.014787 Loss_D_fake 0.009081
[675/5000][280/535][69485] Loss_D: -0.024136 Loss_G: 0.001376 Loss_D_real: -0.010150 Loss_D_fake 0.013986
[675/5000][285/535][69486] Loss_D: -0.023820 Loss_G: 0.021416 Loss_D_real: -0.020286 Loss_D_fake 0.003534
[675/5000][290/535][69487] Loss_D: -0.025372 Loss_G: 0.012708 Loss_D_real: -0.021831 Loss_D_fake 0.003541
[675/5000][295/535][69488] Loss_D: -0.025128 Loss_G: 0.022716 Loss_D_real: -0.022652 Loss_D_fake 0.002476
[675/5000][300/535][69489] Loss_D: -0.024035 Loss_G: 0.029394 Loss_D_real: -0.034546 Loss_D_fake -0.010511
[675/5000][305/535][69490] Loss_D: -0.023852 Loss_G: 0.013887 Loss_D_real: -0.027294 Loss_D_fake -0.003442
[675/5000][310/535][69491] Loss_D: -0.022662 Loss_G: 0.016667 Loss_D_real: -0.025341 Loss_D_fake -0.002678
[675/5000][315/535][69492] Loss_D: -0.024796 Loss_G: 0.019726 Loss_D_real: -0.024085 Loss_D_fake 0.000711
[675/5000][320/535][69493] Loss_D: -0.024447 Loss_G: -0.001068 Loss_D_real: -0.013022 Loss_D_fake 0.011425
[675/5000][325/535][69494] Loss_D: -0.023828 Loss_G: 0.012160 Loss_D_real: -0.021458 Loss_D_fake 0.002369
[675/5000][330/535][69495] Loss_D: -0.023568 Loss_G: 0.015825 Loss_D_real: -0.014447 Loss_D_fake 0.009120
[675/5000][335/535][69496] Loss_D: -0.024349 Loss_G: 0.008549 Loss_D_real: -0.023260 Loss_D_fake 0.001089
[675/5000][340/535][69497] Loss_D: -0.023121 Loss_G: 0.015175 Loss_D_real: -0.019143 Loss_D_fake 0.003978
[675/5000][345/535][69498] Loss_D: -0.025777 Loss_G: -0.003132 Loss_D_real: -0.020297 Loss_D_fake 0.005480
[675/5000][350/535][69499] Loss_D: -0.023700 Loss_G: 0.012117 Loss_D_real: -0.022183 Loss_D_fake 0.001517
[675/5000][355/535][69500] Loss_D: -0.024662 Loss_G: 0.030167 Loss_D_real: -0.034076 Loss_D_fake -0.009415
[675/5000][455/535][69501] Loss_D: -0.029081 Loss_G: -0.000563 Loss_D_real: -0.005523 Loss_D_fake 0.023559
[675/5000][460/535][69502] Loss_D: -0.024658 Loss_G: -0.001023 Loss_D_real: -0.002525 Loss_D_fake 0.022133
[675/5000][465/535][69503] Loss_D: -0.023348 Loss_G: 0.004484 Loss_D_real: -0.008906 Loss_D_fake 0.014443
[675/5000][470/535][69504] Loss_D: -0.019723 Loss_G: -0.013519 Loss_D_real: -0.003637 Loss_D_fake 0.016086
[675/5000][475/535][69505] Loss_D: -0.022482 Loss_G: -0.004205 Loss_D_real: -0.007259 Loss_D_fake 0.015222
[675/5000][480/535][69506] Loss_D: -0.022703 Loss_G: 0.012798 Loss_D_real: -0.019608 Loss_D_fake 0.003095
[675/5000][485/535][69507] Loss_D: -0.023612 Loss_G: 0.007497 Loss_D_real: -0.021048 Loss_D_fake 0.002564
[675/5000][490/535][69508] Loss_D: -0.022898 Loss_G: -0.005131 Loss_D_real: -0.011019 Loss_D_fake 0.011879
[675/5000][495/535][69509] Loss_D: -0.022934 Loss_G: -0.001933 Loss_D_real: -0.017152 Loss_D_fake 0.005782
[675/5000][500/535][69510] Loss_D: -0.024032 Loss_G: 0.020350 Loss_D_real: -0.022978 Loss_D_fake 0.001054
[675/5000][505/535][69511] Loss_D: -0.025410 Loss_G: 0.010642 Loss_D_real: -0.019114 Loss_D_fake 0.006296
[675/5000][510/535][69512] Loss_D: -0.024899 Loss_G: 0.009853 Loss_D_real: -0.022029 Loss_D_fake 0.002870
[675/5000][515/535][69513] Loss_D: -0.023085 Loss_G: 0.003747 Loss_D_real: -0.002722 Loss_D_fake 0.020363
[675/5000][520/535][69514] Loss_D: -0.023015 Loss_G: 0.014143 Loss_D_real: -0.013441 Loss_D_fake 0.009575
[675/5000][525/535][69515] Loss_D: -0.023526 Loss_G: 0.022898 Loss_D_real: -0.023204 Loss_D_fake 0.000322
[675/5000][530/535][69516] Loss_D: -0.024665 Loss_G: 0.003847 Loss_D_real: -0.013637 Loss_D_fake 0.011028
[675/5000][535/535][69517] Loss_D: -0.024980 Loss_G: -0.004174 Loss_D_real: -0.023152 Loss_D_fake 0.001828
[676/5000][5/535][69518] Loss_D: -0.023917 Loss_G: 0.002547 Loss_D_real: -0.011359 Loss_D_fake 0.012558
[676/5000][10/535][69519] Loss_D: -0.024422 Loss_G: 0.006601 Loss_D_real: -0.027956 Loss_D_fake -0.003534
[676/5000][15/535][69520] Loss_D: -0.023422 Loss_G: 0.000279 Loss_D_real: -0.001563 Loss_D_fake 0.021858
[676/5000][20/535][69521] Loss_D: -0.022235 Loss_G: 0.024072 Loss_D_real: -0.025017 Loss_D_fake -0.002782
[676/5000][25/535][69522] Loss_D: -0.022279 Loss_G: 0.001845 Loss_D_real: -0.015658 Loss_D_fake 0.006621
[676/5000][30/535][69523] Loss_D: -0.025141 Loss_G: 0.005168 Loss_D_real: -0.021340 Loss_D_fake 0.003800
[676/5000][35/535][69524] Loss_D: -0.024285 Loss_G: 0.025382 Loss_D_real: -0.027925 Loss_D_fake -0.003640
[676/5000][40/535][69525] Loss_D: -0.024152 Loss_G: 0.012847 Loss_D_real: -0.018640 Loss_D_fake 0.005512
[676/5000][45/535][69526] Loss_D: -0.022910 Loss_G: 0.025380 Loss_D_real: -0.037813 Loss_D_fake -0.014904
[676/5000][50/535][69527] Loss_D: -0.024825 Loss_G: 0.004752 Loss_D_real: -0.022634 Loss_D_fake 0.002190
[676/5000][55/535][69528] Loss_D: -0.024224 Loss_G: 0.025483 Loss_D_real: -0.021725 Loss_D_fake 0.002499
[676/5000][60/535][69529] Loss_D: -0.024847 Loss_G: 0.002981 Loss_D_real: -0.017387 Loss_D_fake 0.007460
[676/5000][65/535][69530] Loss_D: -0.023030 Loss_G: 0.024041 Loss_D_real: -0.032439 Loss_D_fake -0.009408
[676/5000][70/535][69531] Loss_D: -0.025531 Loss_G: 0.005419 Loss_D_real: -0.012639 Loss_D_fake 0.012891
[676/5000][75/535][69532] Loss_D: -0.024383 Loss_G: 0.009266 Loss_D_real: -0.017168 Loss_D_fake 0.007215
[676/5000][80/535][69533] Loss_D: -0.023308 Loss_G: -0.000880 Loss_D_real: -0.013499 Loss_D_fake 0.009808
[676/5000][85/535][69534] Loss_D: -0.023015 Loss_G: 0.021782 Loss_D_real: -0.020427 Loss_D_fake 0.002588
[676/5000][90/535][69535] Loss_D: -0.024439 Loss_G: 0.014234 Loss_D_real: -0.019847 Loss_D_fake 0.004592
[676/5000][95/535][69536] Loss_D: -0.022621 Loss_G: -0.006438 Loss_D_real: -0.002806 Loss_D_fake 0.019815
[676/5000][100/535][69537] Loss_D: -0.023798 Loss_G: 0.019961 Loss_D_real: -0.018792 Loss_D_fake 0.005006
[676/5000][105/535][69538] Loss_D: -0.024020 Loss_G: 0.014379 Loss_D_real: -0.015694 Loss_D_fake 0.008326
[676/5000][110/535][69539] Loss_D: -0.024189 Loss_G: 0.000386 Loss_D_real: -0.011412 Loss_D_fake 0.012777
[676/5000][115/535][69540] Loss_D: -0.024141 Loss_G: 0.019821 Loss_D_real: -0.029976 Loss_D_fake -0.005835
[676/5000][120/535][69541] Loss_D: -0.023735 Loss_G: 0.014779 Loss_D_real: -0.020692 Loss_D_fake 0.003043
[676/5000][125/535][69542] Loss_D: -0.024679 Loss_G: 0.012101 Loss_D_real: -0.012602 Loss_D_fake 0.012077
[676/5000][130/535][69543] Loss_D: -0.024050 Loss_G: 0.007547 Loss_D_real: -0.016808 Loss_D_fake 0.007241
[676/5000][135/535][69544] Loss_D: -0.025214 Loss_G: 0.031321 Loss_D_real: -0.024653 Loss_D_fake 0.000561
[676/5000][140/535][69545] Loss_D: -0.024622 Loss_G: 0.022333 Loss_D_real: -0.028077 Loss_D_fake -0.003455
[676/5000][145/535][69546] Loss_D: -0.024193 Loss_G: 0.016021 Loss_D_real: -0.018511 Loss_D_fake 0.005682
[676/5000][150/535][69547] Loss_D: -0.023795 Loss_G: 0.014862 Loss_D_real: -0.018611 Loss_D_fake 0.005184
[676/5000][155/535][69548] Loss_D: -0.023536 Loss_G: -0.012220 Loss_D_real: -0.002777 Loss_D_fake 0.020759
[676/5000][160/535][69549] Loss_D: -0.023093 Loss_G: -0.000836 Loss_D_real: -0.011027 Loss_D_fake 0.012066
[676/5000][165/535][69550] Loss_D: -0.023280 Loss_G: 0.030066 Loss_D_real: -0.029328 Loss_D_fake -0.006048
[676/5000][170/535][69551] Loss_D: -0.024633 Loss_G: 0.017399 Loss_D_real: -0.013714 Loss_D_fake 0.010919
[676/5000][175/535][69552] Loss_D: -0.024715 Loss_G: 0.012050 Loss_D_real: -0.019612 Loss_D_fake 0.005103
[676/5000][180/535][69553] Loss_D: -0.025152 Loss_G: 0.016487 Loss_D_real: -0.020448 Loss_D_fake 0.004705
[676/5000][185/535][69554] Loss_D: -0.024021 Loss_G: 0.016008 Loss_D_real: -0.021313 Loss_D_fake 0.002707
[676/5000][190/535][69555] Loss_D: -0.023371 Loss_G: 0.024252 Loss_D_real: -0.025255 Loss_D_fake -0.001884
[676/5000][195/535][69556] Loss_D: -0.023166 Loss_G: 0.020989 Loss_D_real: -0.025710 Loss_D_fake -0.002544
[676/5000][200/535][69557] Loss_D: -0.023679 Loss_G: 0.007231 Loss_D_real: -0.023267 Loss_D_fake 0.000412
[676/5000][205/535][69558] Loss_D: -0.024170 Loss_G: 0.011712 Loss_D_real: -0.019654 Loss_D_fake 0.004516
[676/5000][210/535][69559] Loss_D: -0.025154 Loss_G: 0.013326 Loss_D_real: -0.010203 Loss_D_fake 0.014951
[676/5000][215/535][69560] Loss_D: -0.023720 Loss_G: 0.004322 Loss_D_real: -0.013835 Loss_D_fake 0.009884
[676/5000][220/535][69561] Loss_D: -0.022744 Loss_G: -0.013295 Loss_D_real: 0.004035 Loss_D_fake 0.026779
[676/5000][225/535][69562] Loss_D: -0.023045 Loss_G: 0.012835 Loss_D_real: -0.024462 Loss_D_fake -0.001417
[676/5000][230/535][69563] Loss_D: -0.023910 Loss_G: 0.018939 Loss_D_real: -0.014720 Loss_D_fake 0.009190
[676/5000][235/535][69564] Loss_D: -0.022317 Loss_G: 0.007168 Loss_D_real: -0.027269 Loss_D_fake -0.004952
[676/5000][240/535][69565] Loss_D: -0.024238 Loss_G: 0.013277 Loss_D_real: -0.015249 Loss_D_fake 0.008989
[676/5000][245/535][69566] Loss_D: -0.023520 Loss_G: 0.007371 Loss_D_real: -0.017800 Loss_D_fake 0.005720
[676/5000][250/535][69567] Loss_D: -0.023546 Loss_G: -0.007666 Loss_D_real: -0.012727 Loss_D_fake 0.010818
[676/5000][255/535][69568] Loss_D: -0.024245 Loss_G: 0.024216 Loss_D_real: -0.031879 Loss_D_fake -0.007634
[676/5000][260/535][69569] Loss_D: -0.023286 Loss_G: 0.021862 Loss_D_real: -0.020845 Loss_D_fake 0.002441
[676/5000][265/535][69570] Loss_D: -0.024905 Loss_G: 0.018770 Loss_D_real: -0.022608 Loss_D_fake 0.002298
[676/5000][270/535][69571] Loss_D: -0.023330 Loss_G: 0.018245 Loss_D_real: -0.024174 Loss_D_fake -0.000844
[676/5000][275/535][69572] Loss_D: -0.024903 Loss_G: -0.002313 Loss_D_real: -0.004956 Loss_D_fake 0.019947
[676/5000][280/535][69573] Loss_D: -0.024464 Loss_G: 0.011809 Loss_D_real: -0.023491 Loss_D_fake 0.000973
[676/5000][285/535][69574] Loss_D: -0.025379 Loss_G: 0.012631 Loss_D_real: -0.017599 Loss_D_fake 0.007780
[676/5000][290/535][69575] Loss_D: -0.024210 Loss_G: -0.011041 Loss_D_real: 0.000076 Loss_D_fake 0.024286
[676/5000][295/535][69576] Loss_D: -0.023438 Loss_G: 0.026745 Loss_D_real: -0.034667 Loss_D_fake -0.011229
[676/5000][300/535][69577] Loss_D: -0.023766 Loss_G: 0.016683 Loss_D_real: -0.027668 Loss_D_fake -0.003902
[676/5000][305/535][69578] Loss_D: -0.025259 Loss_G: 0.004837 Loss_D_real: -0.011305 Loss_D_fake 0.013954
[676/5000][310/535][69579] Loss_D: -0.024555 Loss_G: 0.018058 Loss_D_real: -0.016432 Loss_D_fake 0.008123
[676/5000][315/535][69580] Loss_D: -0.024599 Loss_G: 0.023156 Loss_D_real: -0.031436 Loss_D_fake -0.006837
[676/5000][320/535][69581] Loss_D: -0.023741 Loss_G: -0.006841 Loss_D_real: -0.014033 Loss_D_fake 0.009708
[676/5000][325/535][69582] Loss_D: -0.023508 Loss_G: 0.027981 Loss_D_real: -0.028419 Loss_D_fake -0.004911
[676/5000][330/535][69583] Loss_D: -0.023422 Loss_G: -0.003777 Loss_D_real: -0.000278 Loss_D_fake 0.023144
[676/5000][335/535][69584] Loss_D: -0.023562 Loss_G: 0.027442 Loss_D_real: -0.033761 Loss_D_fake -0.010200
[676/5000][340/535][69585] Loss_D: -0.023664 Loss_G: -0.000626 Loss_D_real: -0.010383 Loss_D_fake 0.013281
[676/5000][345/535][69586] Loss_D: -0.024393 Loss_G: 0.015612 Loss_D_real: -0.021100 Loss_D_fake 0.003293
[676/5000][350/535][69587] Loss_D: -0.023375 Loss_G: 0.004562 Loss_D_real: -0.010925 Loss_D_fake 0.012449
[676/5000][355/535][69588] Loss_D: -0.025740 Loss_G: 0.034290 Loss_D_real: -0.023833 Loss_D_fake 0.001907
[676/5000][360/535][69589] Loss_D: -0.023643 Loss_G: -0.000622 Loss_D_real: -0.009379 Loss_D_fake 0.014264
[676/5000][365/535][69590] Loss_D: -0.023251 Loss_G: 0.024711 Loss_D_real: -0.033531 Loss_D_fake -0.010281
[676/5000][370/535][69591] Loss_D: -0.024816 Loss_G: 0.005240 Loss_D_real: -0.006313 Loss_D_fake 0.018503
[676/5000][375/535][69592] Loss_D: -0.024600 Loss_G: 0.035211 Loss_D_real: -0.023587 Loss_D_fake 0.001012
[676/5000][380/535][69593] Loss_D: -0.024424 Loss_G: 0.014239 Loss_D_real: -0.028118 Loss_D_fake -0.003693
[676/5000][385/535][69594] Loss_D: -0.024550 Loss_G: 0.003987 Loss_D_real: -0.010096 Loss_D_fake 0.014453
[676/5000][390/535][69595] Loss_D: -0.023784 Loss_G: 0.018822 Loss_D_real: -0.026129 Loss_D_fake -0.002344
[676/5000][395/535][69596] Loss_D: -0.025420 Loss_G: 0.018824 Loss_D_real: -0.023947 Loss_D_fake 0.001473
[676/5000][400/535][69597] Loss_D: -0.023488 Loss_G: 0.030350 Loss_D_real: -0.042528 Loss_D_fake -0.019041
[676/5000][405/535][69598] Loss_D: -0.024588 Loss_G: 0.001068 Loss_D_real: -0.011322 Loss_D_fake 0.013266
[676/5000][410/535][69599] Loss_D: -0.024390 Loss_G: 0.007500 Loss_D_real: -0.007400 Loss_D_fake 0.016990
[676/5000][415/535][69600] Loss_D: -0.023813 Loss_G: 0.014939 Loss_D_real: -0.013237 Loss_D_fake 0.010576
[676/5000][420/535][69601] Loss_D: -0.023185 Loss_G: 0.001220 Loss_D_real: -0.007958 Loss_D_fake 0.015227
[676/5000][425/535][69602] Loss_D: -0.022416 Loss_G: 0.030023 Loss_D_real: -0.031877 Loss_D_fake -0.009461
[676/5000][430/535][69603] Loss_D: -0.024297 Loss_G: 0.011458 Loss_D_real: -0.018398 Loss_D_fake 0.005899
[676/5000][435/535][69604] Loss_D: -0.024672 Loss_G: 0.030916 Loss_D_real: -0.032372 Loss_D_fake -0.007700
[676/5000][440/535][69605] Loss_D: -0.025308 Loss_G: 0.022190 Loss_D_real: -0.028055 Loss_D_fake -0.002747
[676/5000][445/535][69606] Loss_D: -0.025309 Loss_G: 0.003912 Loss_D_real: -0.016431 Loss_D_fake 0.008878
[676/5000][450/535][69607] Loss_D: -0.025723 Loss_G: 0.005371 Loss_D_real: -0.015734 Loss_D_fake 0.009990
[676/5000][455/535][69608] Loss_D: -0.023555 Loss_G: 0.008136 Loss_D_real: -0.016979 Loss_D_fake 0.006576
[676/5000][460/535][69609] Loss_D: -0.024074 Loss_G: 0.016723 Loss_D_real: -0.027077 Loss_D_fake -0.003003
[676/5000][465/535][69610] Loss_D: -0.023711 Loss_G: -0.004097 Loss_D_real: -0.006542 Loss_D_fake 0.017170
[676/5000][470/535][69611] Loss_D: -0.024359 Loss_G: -0.003355 Loss_D_real: -0.004476 Loss_D_fake 0.019883
[676/5000][475/535][69612] Loss_D: -0.024684 Loss_G: 0.015396 Loss_D_real: -0.010667 Loss_D_fake 0.014017
[676/5000][480/535][69613] Loss_D: -0.024807 Loss_G: -0.005846 Loss_D_real: -0.011896 Loss_D_fake 0.012911
[676/5000][485/535][69614] Loss_D: -0.024708 Loss_G: 0.019287 Loss_D_real: -0.017311 Loss_D_fake 0.007397
[676/5000][490/535][69615] Loss_D: -0.025550 Loss_G: 0.021367 Loss_D_real: -0.014425 Loss_D_fake 0.011125
[676/5000][495/535][69616] Loss_D: -0.023575 Loss_G: 0.001633 Loss_D_real: -0.014234 Loss_D_fake 0.009341
[676/5000][500/535][69617] Loss_D: -0.024567 Loss_G: 0.018230 Loss_D_real: -0.024161 Loss_D_fake 0.000406
[676/5000][505/535][69618] Loss_D: -0.025442 Loss_G: 0.018312 Loss_D_real: -0.008544 Loss_D_fake 0.016897
[676/5000][510/535][69619] Loss_D: -0.023485 Loss_G: 0.022196 Loss_D_real: -0.035183 Loss_D_fake -0.011697
[676/5000][515/535][69620] Loss_D: -0.023269 Loss_G: -0.012871 Loss_D_real: 0.001503 Loss_D_fake 0.024771
[676/5000][520/535][69621] Loss_D: -0.021913 Loss_G: 0.020597 Loss_D_real: -0.023877 Loss_D_fake -0.001965
[676/5000][525/535][69622] Loss_D: -0.024933 Loss_G: 0.031440 Loss_D_real: -0.019025 Loss_D_fake 0.005908
[676/5000][530/535][69623] Loss_D: -0.024433 Loss_G: -0.006307 Loss_D_real: -0.006141 Loss_D_fake 0.018292
[676/5000][535/535][69624] Loss_D: -0.022955 Loss_G: 0.019167 Loss_D_real: -0.029615 Loss_D_fake -0.006659
[677/5000][5/535][69625] Loss_D: -0.024568 Loss_G: -0.009070 Loss_D_real: -0.004215 Loss_D_fake 0.020353
[677/5000][10/535][69626] Loss_D: -0.024306 Loss_G: 0.000859 Loss_D_real: -0.009633 Loss_D_fake 0.014674
[677/5000][15/535][69627] Loss_D: -0.025161 Loss_G: 0.021004 Loss_D_real: -0.015514 Loss_D_fake 0.009648
[677/5000][20/535][69628] Loss_D: -0.025561 Loss_G: 0.022233 Loss_D_real: -0.021551 Loss_D_fake 0.004010
[677/5000][25/535][69629] Loss_D: -0.024411 Loss_G: 0.032632 Loss_D_real: -0.027875 Loss_D_fake -0.003464
[677/5000][30/535][69630] Loss_D: -0.024867 Loss_G: -0.000441 Loss_D_real: -0.001401 Loss_D_fake 0.023465
[677/5000][35/535][69631] Loss_D: -0.023963 Loss_G: 0.002745 Loss_D_real: -0.016604 Loss_D_fake 0.007359
[677/5000][40/535][69632] Loss_D: -0.024272 Loss_G: 0.015189 Loss_D_real: -0.035504 Loss_D_fake -0.011232
[677/5000][45/535][69633] Loss_D: -0.024667 Loss_G: 0.004606 Loss_D_real: -0.014590 Loss_D_fake 0.010077
[677/5000][50/535][69634] Loss_D: -0.023990 Loss_G: 0.025256 Loss_D_real: -0.025725 Loss_D_fake -0.001735
[677/5000][55/535][69635] Loss_D: -0.024383 Loss_G: 0.001970 Loss_D_real: -0.006378 Loss_D_fake 0.018004
[677/5000][60/535][69636] Loss_D: -0.023868 Loss_G: 0.006298 Loss_D_real: -0.027244 Loss_D_fake -0.003376
[677/5000][65/535][69637] Loss_D: -0.022821 Loss_G: -0.010330 Loss_D_real: -0.001356 Loss_D_fake 0.021465
[677/5000][70/535][69638] Loss_D: -0.021457 Loss_G: 0.023795 Loss_D_real: -0.033943 Loss_D_fake -0.012487
[677/5000][75/535][69639] Loss_D: -0.023010 Loss_G: 0.014381 Loss_D_real: -0.023481 Loss_D_fake -0.000471
[677/5000][80/535][69640] Loss_D: -0.025341 Loss_G: 0.003929 Loss_D_real: -0.019239 Loss_D_fake 0.006102
[677/5000][85/535][69641] Loss_D: -0.025254 Loss_G: 0.016704 Loss_D_real: -0.014756 Loss_D_fake 0.010498
[677/5000][90/535][69642] Loss_D: -0.024906 Loss_G: 0.016067 Loss_D_real: -0.020701 Loss_D_fake 0.004205
[677/5000][95/535][69643] Loss_D: -0.024318 Loss_G: 0.014646 Loss_D_real: -0.022068 Loss_D_fake 0.002249
[677/5000][100/535][69644] Loss_D: -0.023319 Loss_G: 0.009371 Loss_D_real: -0.011967 Loss_D_fake 0.011352
[677/5000][105/535][69645] Loss_D: -0.023285 Loss_G: 0.010288 Loss_D_real: -0.015364 Loss_D_fake 0.007921
[677/5000][110/535][69646] Loss_D: -0.023502 Loss_G: -0.010488 Loss_D_real: -0.012788 Loss_D_fake 0.010715
[677/5000][115/535][69647] Loss_D: -0.025280 Loss_G: 0.023210 Loss_D_real: -0.023193 Loss_D_fake 0.002087
[677/5000][120/535][69648] Loss_D: -0.024357 Loss_G: -0.006693 Loss_D_real: -0.004735 Loss_D_fake 0.019622
[677/5000][125/535][69649] Loss_D: -0.025588 Loss_G: -0.003791 Loss_D_real: -0.005594 Loss_D_fake 0.019995
[677/5000][130/535][69650] Loss_D: -0.022713 Loss_G: 0.019199 Loss_D_real: -0.025229 Loss_D_fake -0.002516
[677/5000][135/535][69651] Loss_D: -0.023703 Loss_G: 0.000720 Loss_D_real: 0.002104 Loss_D_fake 0.025807
[677/5000][140/535][69652] Loss_D: -0.024820 Loss_G: 0.018362 Loss_D_real: -0.020234 Loss_D_fake 0.004586
[677/5000][145/535][69653] Loss_D: -0.023214 Loss_G: 0.032757 Loss_D_real: -0.029926 Loss_D_fake -0.006712
[677/5000][150/535][69654] Loss_D: -0.023868 Loss_G: 0.028527 Loss_D_real: -0.032179 Loss_D_fake -0.008311
[677/5000][155/535][69655] Loss_D: -0.024416 Loss_G: 0.014461 Loss_D_real: -0.010258 Loss_D_fake 0.014157
[677/5000][160/535][69656] Loss_D: -0.024175 Loss_G: 0.012843 Loss_D_real: -0.014945 Loss_D_fake 0.009230
[677/5000][165/535][69657] Loss_D: -0.023798 Loss_G: 0.014124 Loss_D_real: -0.023775 Loss_D_fake 0.000023
[677/5000][170/535][69658] Loss_D: -0.024547 Loss_G: 0.000134 Loss_D_real: -0.012360 Loss_D_fake 0.012188
[677/5000][175/535][69659] Loss_D: -0.025273 Loss_G: 0.022020 Loss_D_real: -0.016692 Loss_D_fake 0.008581
[677/5000][180/535][69660] Loss_D: -0.024088 Loss_G: 0.008887 Loss_D_real: -0.032700 Loss_D_fake -0.008612
[677/5000][185/535][69661] Loss_D: -0.024983 Loss_G: 0.010223 Loss_D_real: -0.020407 Loss_D_fake 0.004575
[677/5000][190/535][69662] Loss_D: -0.023373 Loss_G: 0.007007 Loss_D_real: -0.024229 Loss_D_fake -0.000856
[677/5000][195/535][69663] Loss_D: -0.025056 Loss_G: 0.004750 Loss_D_real: -0.011521 Loss_D_fake 0.013535
[677/5000][200/535][69664] Loss_D: -0.024000 Loss_G: 0.002857 Loss_D_real: -0.007607 Loss_D_fake 0.016393
[677/5000][205/535][69665] Loss_D: -0.023555 Loss_G: 0.010921 Loss_D_real: -0.019166 Loss_D_fake 0.004389
[677/5000][210/535][69666] Loss_D: -0.024248 Loss_G: -0.002720 Loss_D_real: -0.006356 Loss_D_fake 0.017893
[677/5000][215/535][69667] Loss_D: -0.024104 Loss_G: 0.002874 Loss_D_real: -0.009465 Loss_D_fake 0.014640
[677/5000][220/535][69668] Loss_D: -0.024154 Loss_G: 0.026071 Loss_D_real: -0.022555 Loss_D_fake 0.001598
[677/5000][225/535][69669] Loss_D: -0.022501 Loss_G: 0.014872 Loss_D_real: -0.022153 Loss_D_fake 0.000348
[677/5000][230/535][69670] Loss_D: -0.024408 Loss_G: 0.012928 Loss_D_real: -0.012714 Loss_D_fake 0.011694
[677/5000][235/535][69671] Loss_D: -0.024278 Loss_G: 0.006244 Loss_D_real: -0.016534 Loss_D_fake 0.007744
[677/5000][240/535][69672] Loss_D: -0.024666 Loss_G: 0.009216 Loss_D_real: -0.018236 Loss_D_fake 0.006430
[677/5000][245/535][69673] Loss_D: -0.025064 Loss_G: 0.009133 Loss_D_real: -0.020249 Loss_D_fake 0.004815
[677/5000][250/535][69674] Loss_D: -0.023957 Loss_G: 0.017296 Loss_D_real: -0.024101 Loss_D_fake -0.000144
[677/5000][255/535][69675] Loss_D: -0.023719 Loss_G: 0.002821 Loss_D_real: -0.014878 Loss_D_fake 0.008842
[677/5000][260/535][69676] Loss_D: -0.024264 Loss_G: -0.005927 Loss_D_real: 0.001554 Loss_D_fake 0.025817
[677/5000][265/535][69677] Loss_D: -0.023226 Loss_G: -0.003946 Loss_D_real: -0.011433 Loss_D_fake 0.011794
[677/5000][270/535][69678] Loss_D: -0.023129 Loss_G: 0.005810 Loss_D_real: -0.010152 Loss_D_fake 0.012977
[677/5000][275/535][69679] Loss_D: -0.024180 Loss_G: 0.020766 Loss_D_real: -0.034480 Loss_D_fake -0.010300
[677/5000][280/535][69680] Loss_D: -0.024236 Loss_G: 0.015493 Loss_D_real: -0.027183 Loss_D_fake -0.002947
[677/5000][285/535][69681] Loss_D: -0.024624 Loss_G: 0.007916 Loss_D_real: -0.016903 Loss_D_fake 0.007721
[677/5000][290/535][69682] Loss_D: -0.025368 Loss_G: 0.003281 Loss_D_real: -0.011865 Loss_D_fake 0.013503
[677/5000][295/535][69683] Loss_D: -0.023622 Loss_G: 0.018369 Loss_D_real: -0.018186 Loss_D_fake 0.005436
[677/5000][300/535][69684] Loss_D: -0.023288 Loss_G: -0.008738 Loss_D_real: 0.006588 Loss_D_fake 0.029876
[677/5000][305/535][69685] Loss_D: -0.024175 Loss_G: 0.015048 Loss_D_real: -0.028574 Loss_D_fake -0.004400
[677/5000][310/535][69686] Loss_D: -0.024168 Loss_G: 0.025544 Loss_D_real: -0.020195 Loss_D_fake 0.003973
[677/5000][315/535][69687] Loss_D: -0.024507 Loss_G: 0.014678 Loss_D_real: -0.035256 Loss_D_fake -0.010749
[677/5000][320/535][69688] Loss_D: -0.025726 Loss_G: 0.004634 Loss_D_real: -0.016078 Loss_D_fake 0.009648
[677/5000][325/535][69689] Loss_D: -0.024110 Loss_G: 0.009959 Loss_D_real: -0.007568 Loss_D_fake 0.016541
[677/5000][330/535][69690] Loss_D: -0.023705 Loss_G: 0.024220 Loss_D_real: -0.029116 Loss_D_fake -0.005411
[677/5000][335/535][69691] Loss_D: -0.025609 Loss_G: 0.013478 Loss_D_real: -0.020583 Loss_D_fake 0.005027
[677/5000][340/535][69692] Loss_D: -0.025292 Loss_G: 0.008160 Loss_D_real: -0.016972 Loss_D_fake 0.008320
[677/5000][345/535][69693] Loss_D: -0.025671 Loss_G: 0.011991 Loss_D_real: -0.013638 Loss_D_fake 0.012033
[677/5000][350/535][69694] Loss_D: -0.024967 Loss_G: 0.007496 Loss_D_real: -0.010614 Loss_D_fake 0.014353
[677/5000][355/535][69695] Loss_D: -0.025078 Loss_G: 0.000494 Loss_D_real: -0.010459 Loss_D_fake 0.014619
[677/5000][360/535][69696] Loss_D: -0.023644 Loss_G: 0.016935 Loss_D_real: -0.037597 Loss_D_fake -0.013953
[677/5000][365/535][69697] Loss_D: -0.023738 Loss_G: -0.007209 Loss_D_real: -0.002951 Loss_D_fake 0.020787
[677/5000][370/535][69698] Loss_D: -0.023261 Loss_G: 0.027304 Loss_D_real: -0.036902 Loss_D_fake -0.013641
[677/5000][375/535][69699] Loss_D: -0.024033 Loss_G: 0.012956 Loss_D_real: -0.019008 Loss_D_fake 0.005025
[677/5000][380/535][69700] Loss_D: -0.025286 Loss_G: 0.011996 Loss_D_real: -0.015347 Loss_D_fake 0.009939
[677/5000][385/535][69701] Loss_D: -0.024838 Loss_G: 0.011441 Loss_D_real: -0.006479 Loss_D_fake 0.018359
[677/5000][390/535][69702] Loss_D: -0.023357 Loss_G: -0.005065 Loss_D_real: -0.005968 Loss_D_fake 0.017389
[677/5000][395/535][69703] Loss_D: -0.024777 Loss_G: 0.040036 Loss_D_real: -0.028487 Loss_D_fake -0.003710
[677/5000][400/535][69704] Loss_D: -0.022466 Loss_G: -0.015831 Loss_D_real: 0.003161 Loss_D_fake 0.025627
[677/5000][405/535][69705] Loss_D: -0.022980 Loss_G: 0.016455 Loss_D_real: -0.026539 Loss_D_fake -0.003559
[677/5000][410/535][69706] Loss_D: -0.025062 Loss_G: 0.009575 Loss_D_real: -0.013962 Loss_D_fake 0.011100
[677/5000][415/535][69707] Loss_D: -0.024677 Loss_G: 0.008841 Loss_D_real: -0.015347 Loss_D_fake 0.009329
[677/5000][420/535][69708] Loss_D: -0.022552 Loss_G: -0.005331 Loss_D_real: -0.005570 Loss_D_fake 0.016982
[677/5000][425/535][69709] Loss_D: -0.022994 Loss_G: 0.026461 Loss_D_real: -0.029535 Loss_D_fake -0.006541
[677/5000][430/535][69710] Loss_D: -0.024892 Loss_G: 0.019672 Loss_D_real: -0.025090 Loss_D_fake -0.000198
[677/5000][435/535][69711] Loss_D: -0.025048 Loss_G: 0.024502 Loss_D_real: -0.029892 Loss_D_fake -0.004844
[677/5000][440/535][69712] Loss_D: -0.023697 Loss_G: 0.032400 Loss_D_real: -0.025427 Loss_D_fake -0.001729
[677/5000][445/535][69713] Loss_D: -0.026215 Loss_G: -0.000410 Loss_D_real: -0.020997 Loss_D_fake 0.005217
[677/5000][450/535][69714] Loss_D: -0.023593 Loss_G: 0.015411 Loss_D_real: -0.026848 Loss_D_fake -0.003255
[677/5000][455/535][69715] Loss_D: -0.024451 Loss_G: 0.005431 Loss_D_real: -0.008920 Loss_D_fake 0.015531
[677/5000][460/535][69716] Loss_D: -0.024587 Loss_G: 0.020621 Loss_D_real: -0.026593 Loss_D_fake -0.002006
[677/5000][465/535][69717] Loss_D: -0.024638 Loss_G: -0.001905 Loss_D_real: -0.020684 Loss_D_fake 0.003954
[677/5000][470/535][69718] Loss_D: -0.023809 Loss_G: 0.019489 Loss_D_real: -0.024398 Loss_D_fake -0.000589
[677/5000][475/535][69719] Loss_D: -0.024474 Loss_G: 0.012643 Loss_D_real: -0.018754 Loss_D_fake 0.005720
[677/5000][480/535][69720] Loss_D: -0.024789 Loss_G: 0.019777 Loss_D_real: -0.009716 Loss_D_fake 0.015072
[677/5000][485/535][69721] Loss_D: -0.023855 Loss_G: 0.009588 Loss_D_real: -0.024507 Loss_D_fake -0.000652
[677/5000][490/535][69722] Loss_D: -0.023413 Loss_G: 0.025189 Loss_D_real: -0.029182 Loss_D_fake -0.005769
[677/5000][495/535][69723] Loss_D: -0.023769 Loss_G: 0.017199 Loss_D_real: -0.021676 Loss_D_fake 0.002093
[677/5000][500/535][69724] Loss_D: -0.023348 Loss_G: -0.006476 Loss_D_real: -0.008829 Loss_D_fake 0.014520
[677/5000][505/535][69725] Loss_D: -0.023355 Loss_G: 0.000180 Loss_D_real: -0.004849 Loss_D_fake 0.018505
[677/5000][510/535][69726] Loss_D: -0.024061 Loss_G: 0.013105 Loss_D_real: -0.019742 Loss_D_fake 0.004319
[677/5000][515/535][69727] Loss_D: -0.023918 Loss_G: 0.035032 Loss_D_real: -0.024785 Loss_D_fake -0.000867
[677/5000][520/535][69728] Loss_D: -0.023869 Loss_G: 0.005004 Loss_D_real: -0.016288 Loss_D_fake 0.007582
[677/5000][525/535][69729] Loss_D: -0.023937 Loss_G: -0.004962 Loss_D_real: -0.019148 Loss_D_fake 0.004790
[677/5000][530/535][69730] Loss_D: -0.025205 Loss_G: 0.013141 Loss_D_real: -0.010024 Loss_D_fake 0.015181
[677/5000][535/535][69731] Loss_D: -0.025588 Loss_G: 0.011051 Loss_D_real: 0.000218 Loss_D_fake 0.025806
[678/5000][5/535][69732] Loss_D: -0.024634 Loss_G: -0.013580 Loss_D_real: -0.004058 Loss_D_fake 0.020576
[678/5000][10/535][69733] Loss_D: -0.022505 Loss_G: 0.026395 Loss_D_real: -0.032796 Loss_D_fake -0.010290
[678/5000][15/535][69734] Loss_D: -0.023463 Loss_G: 0.038269 Loss_D_real: -0.032355 Loss_D_fake -0.008893
[678/5000][20/535][69735] Loss_D: -0.023355 Loss_G: -0.017475 Loss_D_real: -0.006234 Loss_D_fake 0.017121
[678/5000][25/535][69736] Loss_D: -0.021428 Loss_G: 0.030647 Loss_D_real: -0.038720 Loss_D_fake -0.017292
[678/5000][30/535][69737] Loss_D: -0.023661 Loss_G: 0.025049 Loss_D_real: -0.031875 Loss_D_fake -0.008214
[678/5000][35/535][69738] Loss_D: -0.022923 Loss_G: 0.018138 Loss_D_real: -0.028265 Loss_D_fake -0.005342
[678/5000][40/535][69739] Loss_D: -0.024028 Loss_G: 0.024453 Loss_D_real: -0.019751 Loss_D_fake 0.004277
[678/5000][45/535][69740] Loss_D: -0.025025 Loss_G: 0.003570 Loss_D_real: -0.020437 Loss_D_fake 0.004588
[678/5000][50/535][69741] Loss_D: -0.024310 Loss_G: 0.014108 Loss_D_real: -0.023591 Loss_D_fake 0.000719
[678/5000][55/535][69742] Loss_D: -0.024349 Loss_G: 0.011741 Loss_D_real: -0.014419 Loss_D_fake 0.009930
[678/5000][60/535][69743] Loss_D: -0.025090 Loss_G: 0.011040 Loss_D_real: -0.032712 Loss_D_fake -0.007622
[678/5000][65/535][69744] Loss_D: -0.024324 Loss_G: 0.001997 Loss_D_real: -0.005940 Loss_D_fake 0.018383
[678/5000][70/535][69745] Loss_D: -0.022477 Loss_G: 0.020104 Loss_D_real: -0.024193 Loss_D_fake -0.001716
[678/5000][75/535][69746] Loss_D: -0.024012 Loss_G: -0.003460 Loss_D_real: 0.004253 Loss_D_fake 0.028265
[678/5000][80/535][69747] Loss_D: -0.025766 Loss_G: 0.004546 Loss_D_real: -0.011708 Loss_D_fake 0.014058
[678/5000][85/535][69748] Loss_D: -0.022887 Loss_G: 0.020219 Loss_D_real: -0.019407 Loss_D_fake 0.003481
[678/5000][90/535][69749] Loss_D: -0.024709 Loss_G: 0.025509 Loss_D_real: -0.024033 Loss_D_fake 0.000675
[678/5000][95/535][69750] Loss_D: -0.025404 Loss_G: 0.009380 Loss_D_real: -0.026180 Loss_D_fake -0.000776
[678/5000][100/535][69751] Loss_D: -0.024927 Loss_G: 0.023967 Loss_D_real: -0.025394 Loss_D_fake -0.000467
[678/5000][105/535][69752] Loss_D: -0.023842 Loss_G: -0.011464 Loss_D_real: 0.002962 Loss_D_fake 0.026805
[678/5000][110/535][69753] Loss_D: -0.023870 Loss_G: 0.031654 Loss_D_real: -0.024791 Loss_D_fake -0.000920
[678/5000][115/535][69754] Loss_D: -0.023756 Loss_G: 0.009097 Loss_D_real: -0.016904 Loss_D_fake 0.006851
[678/5000][120/535][69755] Loss_D: -0.025390 Loss_G: 0.015431 Loss_D_real: -0.016935 Loss_D_fake 0.008455
[678/5000][125/535][69756] Loss_D: -0.024757 Loss_G: 0.008058 Loss_D_real: -0.021522 Loss_D_fake 0.003235
[678/5000][130/535][69757] Loss_D: -0.024874 Loss_G: 0.013406 Loss_D_real: -0.012241 Loss_D_fake 0.012633
[678/5000][135/535][69758] Loss_D: -0.022755 Loss_G: 0.014821 Loss_D_real: -0.026202 Loss_D_fake -0.003447
[678/5000][140/535][69759] Loss_D: -0.023574 Loss_G: -0.001833 Loss_D_real: -0.013676 Loss_D_fake 0.009898
[678/5000][145/535][69760] Loss_D: -0.024183 Loss_G: 0.006020 Loss_D_real: -0.025587 Loss_D_fake -0.001403
[678/5000][150/535][69761] Loss_D: -0.025276 Loss_G: 0.004345 Loss_D_real: -0.008895 Loss_D_fake 0.016381
[678/5000][155/535][69762] Loss_D: -0.024397 Loss_G: 0.014404 Loss_D_real: -0.023356 Loss_D_fake 0.001040
[678/5000][160/535][69763] Loss_D: -0.023846 Loss_G: 0.013426 Loss_D_real: -0.011221 Loss_D_fake 0.012625
[678/5000][165/535][69764] Loss_D: -0.024410 Loss_G: 0.007238 Loss_D_real: -0.012085 Loss_D_fake 0.012326
[678/5000][170/535][69765] Loss_D: -0.022801 Loss_G: 0.011115 Loss_D_real: -0.024872 Loss_D_fake -0.002071
[678/5000][175/535][69766] Loss_D: -0.022954 Loss_G: 0.001150 Loss_D_real: -0.016348 Loss_D_fake 0.006607
[678/5000][180/535][69767] Loss_D: -0.024649 Loss_G: 0.002314 Loss_D_real: -0.008287 Loss_D_fake 0.016363
[678/5000][185/535][69768] Loss_D: -0.024270 Loss_G: 0.023199 Loss_D_real: -0.023113 Loss_D_fake 0.001156
[678/5000][190/535][69769] Loss_D: -0.023016 Loss_G: -0.019400 Loss_D_real: -0.005559 Loss_D_fake 0.017457
[678/5000][195/535][69770] Loss_D: -0.024415 Loss_G: 0.022552 Loss_D_real: -0.021284 Loss_D_fake 0.003132
[678/5000][200/535][69771] Loss_D: -0.024915 Loss_G: 0.017653 Loss_D_real: -0.020471 Loss_D_fake 0.004443
[678/5000][205/535][69772] Loss_D: -0.025095 Loss_G: 0.014242 Loss_D_real: -0.017417 Loss_D_fake 0.007678
[678/5000][210/535][69773] Loss_D: -0.024640 Loss_G: 0.010377 Loss_D_real: -0.012088 Loss_D_fake 0.012552
[678/5000][215/535][69774] Loss_D: -0.023603 Loss_G: 0.029675 Loss_D_real: -0.034424 Loss_D_fake -0.010821
[678/5000][220/535][69775] Loss_D: -0.022864 Loss_G: -0.025531 Loss_D_real: -0.003580 Loss_D_fake 0.019284
[678/5000][225/535][69776] Loss_D: -0.022864 Loss_G: 0.029467 Loss_D_real: -0.029659 Loss_D_fake -0.006795
[678/5000][230/535][69777] Loss_D: -0.021598 Loss_G: 0.015924 Loss_D_real: -0.022535 Loss_D_fake -0.000937
[678/5000][235/535][69778] Loss_D: -0.024813 Loss_G: 0.001662 Loss_D_real: -0.015589 Loss_D_fake 0.009225
[678/5000][240/535][69779] Loss_D: -0.023813 Loss_G: 0.013425 Loss_D_real: -0.031187 Loss_D_fake -0.007374
[678/5000][245/535][69780] Loss_D: -0.022449 Loss_G: 0.030943 Loss_D_real: -0.038386 Loss_D_fake -0.015936
[678/5000][250/535][69781] Loss_D: -0.024817 Loss_G: 0.007981 Loss_D_real: -0.024347 Loss_D_fake 0.000470
[678/5000][255/535][69782] Loss_D: -0.023807 Loss_G: 0.011706 Loss_D_real: -0.012609 Loss_D_fake 0.011198
[678/5000][260/535][69783] Loss_D: -0.024228 Loss_G: 0.014224 Loss_D_real: -0.025802 Loss_D_fake -0.001574
[678/5000][265/535][69784] Loss_D: -0.024217 Loss_G: 0.019694 Loss_D_real: -0.022828 Loss_D_fake 0.001389
[678/5000][270/535][69785] Loss_D: -0.024623 Loss_G: 0.013252 Loss_D_real: -0.021545 Loss_D_fake 0.003078
[678/5000][275/535][69786] Loss_D: -0.023711 Loss_G: 0.018639 Loss_D_real: -0.021549 Loss_D_fake 0.002161
[678/5000][280/535][69787] Loss_D: -0.024031 Loss_G: 0.026593 Loss_D_real: -0.022084 Loss_D_fake 0.001947
[678/5000][285/535][69788] Loss_D: -0.023672 Loss_G: 0.020464 Loss_D_real: -0.019041 Loss_D_fake 0.004631
[678/5000][290/535][69789] Loss_D: -0.024249 Loss_G: 0.025289 Loss_D_real: -0.020816 Loss_D_fake 0.003432
[678/5000][295/535][69790] Loss_D: -0.025456 Loss_G: 0.011824 Loss_D_real: -0.017467 Loss_D_fake 0.007989
[678/5000][300/535][69791] Loss_D: -0.024074 Loss_G: -0.002333 Loss_D_real: -0.005216 Loss_D_fake 0.018858
[678/5000][305/535][69792] Loss_D: -0.023795 Loss_G: 0.008957 Loss_D_real: -0.013768 Loss_D_fake 0.010027
[678/5000][310/535][69793] Loss_D: -0.023945 Loss_G: 0.006324 Loss_D_real: -0.014791 Loss_D_fake 0.009154
[678/5000][315/535][69794] Loss_D: -0.024823 Loss_G: 0.003202 Loss_D_real: -0.016458 Loss_D_fake 0.008366
[678/5000][320/535][69795] Loss_D: -0.024358 Loss_G: 0.011517 Loss_D_real: -0.020590 Loss_D_fake 0.003768
[678/5000][325/535][69796] Loss_D: -0.023785 Loss_G: 0.000815 Loss_D_real: -0.017053 Loss_D_fake 0.006732
[678/5000][330/535][69797] Loss_D: -0.024884 Loss_G: 0.030806 Loss_D_real: -0.036433 Loss_D_fake -0.011549
[678/5000][335/535][69798] Loss_D: -0.025597 Loss_G: 0.001074 Loss_D_real: -0.006938 Loss_D_fake 0.018659
[678/5000][340/535][69799] Loss_D: -0.023301 Loss_G: 0.028590 Loss_D_real: -0.034138 Loss_D_fake -0.010836
[678/5000][345/535][69800] Loss_D: -0.023942 Loss_G: 0.013009 Loss_D_real: -0.029129 Loss_D_fake -0.005187
[678/5000][350/535][69801] Loss_D: -0.026109 Loss_G: 0.028900 Loss_D_real: -0.025655 Loss_D_fake 0.000454
[678/5000][355/535][69802] Loss_D: -0.024376 Loss_G: 0.023202 Loss_D_real: -0.018175 Loss_D_fake 0.006201
[678/5000][360/535][69803] Loss_D: -0.026638 Loss_G: 0.005225 Loss_D_real: -0.022871 Loss_D_fake 0.003766
[678/5000][365/535][69804] Loss_D: -0.024156 Loss_G: 0.010378 Loss_D_real: -0.008627 Loss_D_fake 0.015530
[678/5000][370/535][69805] Loss_D: -0.023556 Loss_G: 0.016189 Loss_D_real: -0.013199 Loss_D_fake 0.010357
[678/5000][375/535][69806] Loss_D: -0.021826 Loss_G: -0.020333 Loss_D_real: 0.006159 Loss_D_fake 0.027985
[678/5000][380/535][69807] Loss_D: -0.024247 Loss_G: 0.022305 Loss_D_real: -0.024333 Loss_D_fake -0.000086
[678/5000][385/535][69808] Loss_D: -0.023343 Loss_G: -0.008996 Loss_D_real: -0.010042 Loss_D_fake 0.013301
[678/5000][390/535][69809] Loss_D: -0.024759 Loss_G: 0.003454 Loss_D_real: -0.016121 Loss_D_fake 0.008638
[678/5000][395/535][69810] Loss_D: -0.025725 Loss_G: 0.004595 Loss_D_real: -0.012056 Loss_D_fake 0.013669
[678/5000][400/535][69811] Loss_D: -0.024482 Loss_G: 0.022804 Loss_D_real: -0.019081 Loss_D_fake 0.005402
[678/5000][405/535][69812] Loss_D: -0.025467 Loss_G: 0.002045 Loss_D_real: -0.012105 Loss_D_fake 0.013362
[678/5000][410/535][69813] Loss_D: -0.024795 Loss_G: 0.006388 Loss_D_real: -0.019490 Loss_D_fake 0.005306
[678/5000][415/535][69814] Loss_D: -0.025985 Loss_G: 0.014756 Loss_D_real: -0.013938 Loss_D_fake 0.012047
[678/5000][420/535][69815] Loss_D: -0.024121 Loss_G: 0.027234 Loss_D_real: -0.026183 Loss_D_fake -0.002062
[678/5000][425/535][69816] Loss_D: -0.024573 Loss_G: -0.008265 Loss_D_real: -0.005634 Loss_D_fake 0.018940
[678/5000][430/535][69817] Loss_D: -0.023034 Loss_G: -0.000385 Loss_D_real: -0.009255 Loss_D_fake 0.013779
[678/5000][435/535][69818] Loss_D: -0.024730 Loss_G: 0.014293 Loss_D_real: -0.010531 Loss_D_fake 0.014199
[678/5000][440/535][69819] Loss_D: -0.023730 Loss_G: 0.000961 Loss_D_real: -0.006522 Loss_D_fake 0.017207
[678/5000][445/535][69820] Loss_D: -0.022565 Loss_G: 0.022193 Loss_D_real: -0.034199 Loss_D_fake -0.011634
[678/5000][450/535][69821] Loss_D: -0.023347 Loss_G: 0.005406 Loss_D_real: -0.003218 Loss_D_fake 0.020129
[678/5000][455/535][69822] Loss_D: -0.021766 Loss_G: -0.009125 Loss_D_real: 0.001146 Loss_D_fake 0.022912
[678/5000][460/535][69823] Loss_D: -0.023191 Loss_G: 0.002388 Loss_D_real: -0.012817 Loss_D_fake 0.010375
[678/5000][465/535][69824] Loss_D: -0.023219 Loss_G: -0.010750 Loss_D_real: 0.001096 Loss_D_fake 0.024315
[678/5000][470/535][69825] Loss_D: -0.024725 Loss_G: 0.008644 Loss_D_real: -0.020865 Loss_D_fake 0.003861
[678/5000][475/535][69826] Loss_D: -0.022619 Loss_G: 0.014555 Loss_D_real: -0.032772 Loss_D_fake -0.010153
[678/5000][480/535][69827] Loss_D: -0.024317 Loss_G: 0.017600 Loss_D_real: -0.016683 Loss_D_fake 0.007634
[678/5000][485/535][69828] Loss_D: -0.025027 Loss_G: 0.010072 Loss_D_real: -0.012245 Loss_D_fake 0.012783
[678/5000][490/535][69829] Loss_D: -0.024622 Loss_G: 0.031535 Loss_D_real: -0.029763 Loss_D_fake -0.005142
[678/5000][495/535][69830] Loss_D: -0.023488 Loss_G: 0.013020 Loss_D_real: -0.021486 Loss_D_fake 0.002002
[678/5000][500/535][69831] Loss_D: -0.024151 Loss_G: 0.012156 Loss_D_real: -0.019545 Loss_D_fake 0.004606
[678/5000][505/535][69832] Loss_D: -0.025229 Loss_G: -0.004868 Loss_D_real: -0.009668 Loss_D_fake 0.015562
[678/5000][510/535][69833] Loss_D: -0.023313 Loss_G: 0.027587 Loss_D_real: -0.030317 Loss_D_fake -0.007004
[678/5000][515/535][69834] Loss_D: -0.024127 Loss_G: 0.012708 Loss_D_real: -0.018568 Loss_D_fake 0.005559
[678/5000][520/535][69835] Loss_D: -0.023925 Loss_G: 0.003270 Loss_D_real: -0.005063 Loss_D_fake 0.018862
[678/5000][525/535][69836] Loss_D: -0.025193 Loss_G: 0.003699 Loss_D_real: -0.005138 Loss_D_fake 0.020055
[678/5000][530/535][69837] Loss_D: -0.023540 Loss_G: 0.010823 Loss_D_real: -0.014921 Loss_D_fake 0.008619
[678/5000][535/535][69838] Loss_D: -0.025997 Loss_G: -0.000267 Loss_D_real: -0.012686 Loss_D_fake 0.013311
[679/5000][5/535][69839] Loss_D: -0.023046 Loss_G: 0.017835 Loss_D_real: -0.020025 Loss_D_fake 0.003021
[679/5000][10/535][69840] Loss_D: -0.024530 Loss_G: 0.018560 Loss_D_real: -0.021615 Loss_D_fake 0.002915
[679/5000][15/535][69841] Loss_D: -0.025989 Loss_G: 0.011493 Loss_D_real: -0.016357 Loss_D_fake 0.009632
[679/5000][20/535][69842] Loss_D: -0.023966 Loss_G: 0.004237 Loss_D_real: -0.005221 Loss_D_fake 0.018745
[679/5000][25/535][69843] Loss_D: -0.024066 Loss_G: -0.016629 Loss_D_real: 0.000590 Loss_D_fake 0.024656
[679/5000][30/535][69844] Loss_D: -0.022967 Loss_G: 0.017773 Loss_D_real: -0.016369 Loss_D_fake 0.006598
[679/5000][35/535][69845] Loss_D: -0.023935 Loss_G: 0.010291 Loss_D_real: -0.018913 Loss_D_fake 0.005022
[679/5000][40/535][69846] Loss_D: -0.024772 Loss_G: 0.020807 Loss_D_real: -0.025136 Loss_D_fake -0.000365
[679/5000][45/535][69847] Loss_D: -0.025490 Loss_G: 0.012762 Loss_D_real: -0.015708 Loss_D_fake 0.009782
[679/5000][50/535][69848] Loss_D: -0.022740 Loss_G: 0.023756 Loss_D_real: -0.036138 Loss_D_fake -0.013398
[679/5000][55/535][69849] Loss_D: -0.023805 Loss_G: -0.006174 Loss_D_real: -0.003299 Loss_D_fake 0.020506
[679/5000][60/535][69850] Loss_D: -0.024679 Loss_G: 0.029481 Loss_D_real: -0.020756 Loss_D_fake 0.003922
[679/5000][65/535][69851] Loss_D: -0.024933 Loss_G: 0.009307 Loss_D_real: -0.017156 Loss_D_fake 0.007777
[679/5000][70/535][69852] Loss_D: -0.023768 Loss_G: 0.000945 Loss_D_real: -0.009766 Loss_D_fake 0.014002
[679/5000][75/535][69853] Loss_D: -0.023315 Loss_G: 0.008736 Loss_D_real: -0.027084 Loss_D_fake -0.003769
[679/5000][80/535][69854] Loss_D: -0.024775 Loss_G: -0.008994 Loss_D_real: -0.009316 Loss_D_fake 0.015459
[679/5000][85/535][69855] Loss_D: -0.023743 Loss_G: 0.018276 Loss_D_real: -0.025537 Loss_D_fake -0.001794
[679/5000][90/535][69856] Loss_D: -0.023652 Loss_G: 0.004615 Loss_D_real: -0.013207 Loss_D_fake 0.010445
[679/5000][95/535][69857] Loss_D: -0.023791 Loss_G: 0.018906 Loss_D_real: -0.021476 Loss_D_fake 0.002315
[679/5000][100/535][69858] Loss_D: -0.023104 Loss_G: 0.012583 Loss_D_real: -0.028192 Loss_D_fake -0.005088
[679/5000][105/535][69859] Loss_D: -0.025481 Loss_G: 0.018510 Loss_D_real: -0.021564 Loss_D_fake 0.003917
[679/5000][110/535][69860] Loss_D: -0.023877 Loss_G: 0.026856 Loss_D_real: -0.020737 Loss_D_fake 0.003140
[679/5000][115/535][69861] Loss_D: -0.025812 Loss_G: 0.015149 Loss_D_real: -0.016727 Loss_D_fake 0.009085
[679/5000][120/535][69862] Loss_D: -0.023629 Loss_G: -0.009365 Loss_D_real: -0.007139 Loss_D_fake 0.016490
[679/5000][125/535][69863] Loss_D: -0.023808 Loss_G: 0.016442 Loss_D_real: -0.021550 Loss_D_fake 0.002258
[679/5000][130/535][69864] Loss_D: -0.024889 Loss_G: 0.016196 Loss_D_real: -0.021021 Loss_D_fake 0.003867
[679/5000][135/535][69865] Loss_D: -0.023680 Loss_G: 0.018021 Loss_D_real: -0.032474 Loss_D_fake -0.008794
[679/5000][140/535][69866] Loss_D: -0.024586 Loss_G: 0.016923 Loss_D_real: -0.018321 Loss_D_fake 0.006265
[679/5000][145/535][69867] Loss_D: -0.024147 Loss_G: -0.005400 Loss_D_real: -0.004727 Loss_D_fake 0.019419
[679/5000][150/535][69868] Loss_D: -0.024105 Loss_G: -0.002643 Loss_D_real: -0.009713 Loss_D_fake 0.014393
[679/5000][155/535][69869] Loss_D: -0.023745 Loss_G: 0.007300 Loss_D_real: -0.017182 Loss_D_fake 0.006564
[679/5000][160/535][69870] Loss_D: -0.024270 Loss_G: 0.037908 Loss_D_real: -0.022022 Loss_D_fake 0.002247
[679/5000][165/535][69871] Loss_D: -0.025548 Loss_G: 0.016021 Loss_D_real: -0.018131 Loss_D_fake 0.007417
[679/5000][170/535][69872] Loss_D: -0.023823 Loss_G: -0.008686 Loss_D_real: -0.013909 Loss_D_fake 0.009914
[679/5000][175/535][69873] Loss_D: -0.023876 Loss_G: 0.008486 Loss_D_real: -0.024618 Loss_D_fake -0.000742
[679/5000][180/535][69874] Loss_D: -0.025137 Loss_G: 0.017557 Loss_D_real: -0.016346 Loss_D_fake 0.008791
[679/5000][185/535][69875] Loss_D: -0.023624 Loss_G: 0.006672 Loss_D_real: -0.024186 Loss_D_fake -0.000562
[679/5000][190/535][69876] Loss_D: -0.023519 Loss_G: 0.005131 Loss_D_real: -0.028374 Loss_D_fake -0.004854
[679/5000][195/535][69877] Loss_D: -0.022972 Loss_G: -0.003432 Loss_D_real: 0.003235 Loss_D_fake 0.026207
[679/5000][200/535][69878] Loss_D: -0.024549 Loss_G: 0.012962 Loss_D_real: -0.012840 Loss_D_fake 0.011709
[679/5000][205/535][69879] Loss_D: -0.023530 Loss_G: 0.018594 Loss_D_real: -0.028868 Loss_D_fake -0.005338
[679/5000][210/535][69880] Loss_D: -0.025009 Loss_G: 0.009295 Loss_D_real: -0.009426 Loss_D_fake 0.015583
[679/5000][215/535][69881] Loss_D: -0.022483 Loss_G: 0.002925 Loss_D_real: -0.011560 Loss_D_fake 0.010922
[679/5000][220/535][69882] Loss_D: -0.023975 Loss_G: 0.001103 Loss_D_real: -0.011657 Loss_D_fake 0.012318
[679/5000][225/535][69883] Loss_D: -0.023940 Loss_G: 0.000865 Loss_D_real: -0.014223 Loss_D_fake 0.009717
[679/5000][230/535][69884] Loss_D: -0.022165 Loss_G: 0.029644 Loss_D_real: -0.031230 Loss_D_fake -0.009064
[679/5000][235/535][69885] Loss_D: -0.025387 Loss_G: 0.010885 Loss_D_real: -0.014438 Loss_D_fake 0.010949
[679/5000][240/535][69886] Loss_D: -0.024752 Loss_G: 0.016079 Loss_D_real: -0.017744 Loss_D_fake 0.007008
[679/5000][245/535][69887] Loss_D: -0.024452 Loss_G: 0.008852 Loss_D_real: -0.013535 Loss_D_fake 0.010917
[679/5000][250/535][69888] Loss_D: -0.025599 Loss_G: -0.004537 Loss_D_real: -0.011519 Loss_D_fake 0.014080
[679/5000][255/535][69889] Loss_D: -0.023157 Loss_G: 0.013787 Loss_D_real: -0.025009 Loss_D_fake -0.001852
[679/5000][260/535][69890] Loss_D: -0.023702 Loss_G: 0.012493 Loss_D_real: -0.018242 Loss_D_fake 0.005460
[679/5000][265/535][69891] Loss_D: -0.025241 Loss_G: 0.005556 Loss_D_real: -0.019125 Loss_D_fake 0.006116
[679/5000][270/535][69892] Loss_D: -0.024138 Loss_G: 0.012101 Loss_D_real: -0.016172 Loss_D_fake 0.007966
[679/5000][275/535][69893] Loss_D: -0.024631 Loss_G: 0.021595 Loss_D_real: -0.027752 Loss_D_fake -0.003121
[679/5000][280/535][69894] Loss_D: -0.024495 Loss_G: 0.009710 Loss_D_real: -0.020459 Loss_D_fake 0.004036
[679/5000][285/535][69895] Loss_D: -0.022333 Loss_G: -0.019820 Loss_D_real: 0.001365 Loss_D_fake 0.023699
[679/5000][290/535][69896] Loss_D: -0.023352 Loss_G: 0.034656 Loss_D_real: -0.029307 Loss_D_fake -0.005955
[679/5000][295/535][69897] Loss_D: -0.023816 Loss_G: 0.020279 Loss_D_real: -0.024263 Loss_D_fake -0.000446
[679/5000][300/535][69898] Loss_D: -0.024248 Loss_G: -0.011337 Loss_D_real: 0.002347 Loss_D_fake 0.026595
[679/5000][305/535][69899] Loss_D: -0.024402 Loss_G: 0.014068 Loss_D_real: -0.028161 Loss_D_fake -0.003759
[679/5000][310/535][69900] Loss_D: -0.022731 Loss_G: 0.011622 Loss_D_real: -0.009901 Loss_D_fake 0.012829
[679/5000][315/535][69901] Loss_D: -0.022102 Loss_G: -0.000821 Loss_D_real: -0.005558 Loss_D_fake 0.016543
[679/5000][320/535][69902] Loss_D: -0.023577 Loss_G: 0.011800 Loss_D_real: -0.021457 Loss_D_fake 0.002119
[679/5000][325/535][69903] Loss_D: -0.023903 Loss_G: 0.018689 Loss_D_real: -0.028892 Loss_D_fake -0.004990
[679/5000][330/535][69904] Loss_D: -0.024902 Loss_G: 0.017072 Loss_D_real: -0.026007 Loss_D_fake -0.001105
[679/5000][335/535][69905] Loss_D: -0.022775 Loss_G: 0.015748 Loss_D_real: -0.028082 Loss_D_fake -0.005307
[679/5000][340/535][69906] Loss_D: -0.023383 Loss_G: -0.003376 Loss_D_real: -0.003650 Loss_D_fake 0.019733
[679/5000][345/535][69907] Loss_D: -0.022539 Loss_G: 0.025473 Loss_D_real: -0.032547 Loss_D_fake -0.010007
[679/5000][350/535][69908] Loss_D: -0.023396 Loss_G: 0.005726 Loss_D_real: -0.017719 Loss_D_fake 0.005677
[679/5000][355/535][69909] Loss_D: -0.023042 Loss_G: 0.024553 Loss_D_real: -0.027091 Loss_D_fake -0.004049
[679/5000][360/535][69910] Loss_D: -0.023045 Loss_G: 0.004559 Loss_D_real: -0.017750 Loss_D_fake 0.005296
[679/5000][365/535][69911] Loss_D: -0.025474 Loss_G: 0.017076 Loss_D_real: -0.019349 Loss_D_fake 0.006126
[679/5000][370/535][69912] Loss_D: -0.023529 Loss_G: 0.001361 Loss_D_real: -0.008311 Loss_D_fake 0.015218
[679/5000][375/535][69913] Loss_D: -0.023628 Loss_G: 0.013785 Loss_D_real: -0.017958 Loss_D_fake 0.005670
[679/5000][380/535][69914] Loss_D: -0.022782 Loss_G: 0.008861 Loss_D_real: -0.024904 Loss_D_fake -0.002123
[679/5000][385/535][69915] Loss_D: -0.023027 Loss_G: 0.013385 Loss_D_real: -0.016028 Loss_D_fake 0.006999
[679/5000][390/535][69916] Loss_D: -0.023463 Loss_G: -0.000961 Loss_D_real: -0.010405 Loss_D_fake 0.013058
[679/5000][395/535][69917] Loss_D: -0.022981 Loss_G: 0.005412 Loss_D_real: -0.002288 Loss_D_fake 0.020693
[679/5000][400/535][69918] Loss_D: -0.024582 Loss_G: 0.008091 Loss_D_real: -0.011607 Loss_D_fake 0.012975
[679/5000][405/535][69919] Loss_D: -0.022411 Loss_G: -0.000628 Loss_D_real: -0.016581 Loss_D_fake 0.005830
[679/5000][410/535][69920] Loss_D: -0.025042 Loss_G: 0.021816 Loss_D_real: -0.019745 Loss_D_fake 0.005297
[679/5000][415/535][69921] Loss_D: -0.023163 Loss_G: 0.007128 Loss_D_real: -0.021081 Loss_D_fake 0.002082
[679/5000][420/535][69922] Loss_D: -0.023484 Loss_G: 0.025867 Loss_D_real: -0.036799 Loss_D_fake -0.013314
[679/5000][425/535][69923] Loss_D: -0.025778 Loss_G: 0.005505 Loss_D_real: -0.018746 Loss_D_fake 0.007032
[679/5000][430/535][69924] Loss_D: -0.024755 Loss_G: 0.000219 Loss_D_real: -0.006426 Loss_D_fake 0.018328
[679/5000][435/535][69925] Loss_D: -0.023762 Loss_G: 0.012588 Loss_D_real: -0.018173 Loss_D_fake 0.005589
[679/5000][440/535][69926] Loss_D: -0.024301 Loss_G: 0.012868 Loss_D_real: -0.021608 Loss_D_fake 0.002693
[679/5000][445/535][69927] Loss_D: -0.022634 Loss_G: 0.023614 Loss_D_real: -0.031817 Loss_D_fake -0.009183
[679/5000][450/535][69928] Loss_D: -0.024734 Loss_G: -0.000599 Loss_D_real: -0.008580 Loss_D_fake 0.016154
[679/5000][455/535][69929] Loss_D: -0.023960 Loss_G: 0.020794 Loss_D_real: -0.015380 Loss_D_fake 0.008580
[679/5000][460/535][69930] Loss_D: -0.024446 Loss_G: 0.030673 Loss_D_real: -0.022098 Loss_D_fake 0.002348
[679/5000][465/535][69931] Loss_D: -0.024949 Loss_G: -0.003959 Loss_D_real: -0.011605 Loss_D_fake 0.013344
[679/5000][470/535][69932] Loss_D: -0.024528 Loss_G: 0.003959 Loss_D_real: -0.018512 Loss_D_fake 0.006015
[679/5000][475/535][69933] Loss_D: -0.023910 Loss_G: 0.017856 Loss_D_real: -0.026008 Loss_D_fake -0.002098
[679/5000][480/535][69934] Loss_D: -0.025216 Loss_G: 0.007223 Loss_D_real: -0.023329 Loss_D_fake 0.001887
[679/5000][485/535][69935] Loss_D: -0.024378 Loss_G: 0.017171 Loss_D_real: -0.014491 Loss_D_fake 0.009887
[679/5000][490/535][69936] Loss_D: -0.025225 Loss_G: 0.009695 Loss_D_real: -0.011738 Loss_D_fake 0.013488
[679/5000][495/535][69937] Loss_D: -0.023967 Loss_G: -0.016691 Loss_D_real: 0.002129 Loss_D_fake 0.026096
[679/5000][500/535][69938] Loss_D: -0.024663 Loss_G: 0.015990 Loss_D_real: -0.020125 Loss_D_fake 0.004538
[679/5000][505/535][69939] Loss_D: -0.025478 Loss_G: 0.002620 Loss_D_real: -0.012218 Loss_D_fake 0.013260
[679/5000][510/535][69940] Loss_D: -0.026624 Loss_G: 0.007313 Loss_D_real: -0.013804 Loss_D_fake 0.012821
[679/5000][515/535][69941] Loss_D: -0.024677 Loss_G: 0.010877 Loss_D_real: -0.017140 Loss_D_fake 0.007537
[679/5000][520/535][69942] Loss_D: -0.024481 Loss_G: -0.016192 Loss_D_real: -0.006665 Loss_D_fake 0.017816
[679/5000][525/535][69943] Loss_D: -0.024905 Loss_G: 0.019747 Loss_D_real: -0.032656 Loss_D_fake -0.007752
[679/5000][530/535][69944] Loss_D: -0.026089 Loss_G: 0.004847 Loss_D_real: -0.005822 Loss_D_fake 0.020267
[679/5000][535/535][69945] Loss_D: -0.023635 Loss_G: -0.000769 Loss_D_real: -0.021305 Loss_D_fake 0.002330
[680/5000][5/535][69946] Loss_D: -0.025905 Loss_G: 0.013679 Loss_D_real: -0.017315 Loss_D_fake 0.008591
[680/5000][10/535][69947] Loss_D: -0.023785 Loss_G: 0.024895 Loss_D_real: -0.024905 Loss_D_fake -0.001120
[680/5000][15/535][69948] Loss_D: -0.024192 Loss_G: 0.033534 Loss_D_real: -0.028735 Loss_D_fake -0.004543
[680/5000][20/535][69949] Loss_D: -0.024149 Loss_G: 0.009192 Loss_D_real: -0.020677 Loss_D_fake 0.003472
[680/5000][25/535][69950] Loss_D: -0.022806 Loss_G: 0.001722 Loss_D_real: -0.011469 Loss_D_fake 0.011337
[680/5000][30/535][69951] Loss_D: -0.024066 Loss_G: 0.004467 Loss_D_real: -0.015645 Loss_D_fake 0.008422
[680/5000][35/535][69952] Loss_D: -0.024500 Loss_G: -0.006724 Loss_D_real: -0.007177 Loss_D_fake 0.017323
[680/5000][40/535][69953] Loss_D: -0.022859 Loss_G: 0.021118 Loss_D_real: -0.030827 Loss_D_fake -0.007967
[680/5000][45/535][69954] Loss_D: -0.022282 Loss_G: 0.012094 Loss_D_real: -0.006627 Loss_D_fake 0.015655
[680/5000][50/535][69955] Loss_D: -0.024725 Loss_G: 0.023713 Loss_D_real: -0.024053 Loss_D_fake 0.000672
[680/5000][55/535][69956] Loss_D: -0.023432 Loss_G: 0.017694 Loss_D_real: -0.022562 Loss_D_fake 0.000871
[680/5000][60/535][69957] Loss_D: -0.023647 Loss_G: 0.028101 Loss_D_real: -0.028092 Loss_D_fake -0.004445
[680/5000][65/535][69958] Loss_D: -0.025386 Loss_G: 0.006153 Loss_D_real: -0.012563 Loss_D_fake 0.012823
[680/5000][70/535][69959] Loss_D: -0.023361 Loss_G: 0.021020 Loss_D_real: -0.024646 Loss_D_fake -0.001284
[680/5000][75/535][69960] Loss_D: -0.023490 Loss_G: 0.008252 Loss_D_real: -0.014890 Loss_D_fake 0.008599
[680/5000][80/535][69961] Loss_D: -0.024201 Loss_G: 0.006643 Loss_D_real: -0.017476 Loss_D_fake 0.006724
[680/5000][85/535][69962] Loss_D: -0.023539 Loss_G: 0.012071 Loss_D_real: -0.025084 Loss_D_fake -0.001546
[680/5000][90/535][69963] Loss_D: -0.021807 Loss_G: 0.042415 Loss_D_real: -0.036756 Loss_D_fake -0.014949
[680/5000][95/535][69964] Loss_D: -0.024877 Loss_G: 0.008869 Loss_D_real: -0.026129 Loss_D_fake -0.001252
[680/5000][100/535][69965] Loss_D: -0.024538 Loss_G: 0.014522 Loss_D_real: -0.023821 Loss_D_fake 0.000716
[680/5000][105/535][69966] Loss_D: -0.024022 Loss_G: 0.009860 Loss_D_real: -0.018491 Loss_D_fake 0.005531
[680/5000][110/535][69967] Loss_D: -0.024753 Loss_G: -0.004165 Loss_D_real: -0.007678 Loss_D_fake 0.017075
[680/5000][115/535][69968] Loss_D: -0.023837 Loss_G: 0.020021 Loss_D_real: -0.019500 Loss_D_fake 0.004337
[680/5000][120/535][69969] Loss_D: -0.023528 Loss_G: 0.029797 Loss_D_real: -0.019207 Loss_D_fake 0.004322
[680/5000][125/535][69970] Loss_D: -0.023059 Loss_G: 0.022885 Loss_D_real: -0.028206 Loss_D_fake -0.005147
[680/5000][130/535][69971] Loss_D: -0.024194 Loss_G: 0.018863 Loss_D_real: -0.018294 Loss_D_fake 0.005900
[680/5000][135/535][69972] Loss_D: -0.024082 Loss_G: 0.013605 Loss_D_real: -0.020494 Loss_D_fake 0.003588
[680/5000][140/535][69973] Loss_D: -0.024435 Loss_G: 0.024063 Loss_D_real: -0.028474 Loss_D_fake -0.004039
[680/5000][145/535][69974] Loss_D: -0.025247 Loss_G: 0.006914 Loss_D_real: -0.017036 Loss_D_fake 0.008211
[680/5000][150/535][69975] Loss_D: -0.024798 Loss_G: 0.028769 Loss_D_real: -0.028152 Loss_D_fake -0.003354
[680/5000][155/535][69976] Loss_D: -0.024934 Loss_G: 0.004728 Loss_D_real: -0.010457 Loss_D_fake 0.014477
[680/5000][160/535][69977] Loss_D: -0.025276 Loss_G: 0.004487 Loss_D_real: -0.017296 Loss_D_fake 0.007980
[680/5000][165/535][69978] Loss_D: -0.024680 Loss_G: 0.011950 Loss_D_real: -0.015841 Loss_D_fake 0.008839
[680/5000][170/535][69979] Loss_D: -0.025661 Loss_G: 0.001425 Loss_D_real: -0.006989 Loss_D_fake 0.018672
[680/5000][175/535][69980] Loss_D: -0.024806 Loss_G: 0.014439 Loss_D_real: -0.024021 Loss_D_fake 0.000785
[680/5000][180/535][69981] Loss_D: -0.025820 Loss_G: 0.009082 Loss_D_real: -0.021769 Loss_D_fake 0.004051
[680/5000][185/535][69982] Loss_D: -0.025296 Loss_G: 0.004554 Loss_D_real: -0.014875 Loss_D_fake 0.010421
[680/5000][190/535][69983] Loss_D: -0.025083 Loss_G: 0.009357 Loss_D_real: -0.019677 Loss_D_fake 0.005407
[680/5000][195/535][69984] Loss_D: -0.024923 Loss_G: 0.032603 Loss_D_real: -0.023991 Loss_D_fake 0.000932
[680/5000][200/535][69985] Loss_D: -0.024389 Loss_G: -0.008544 Loss_D_real: 0.003266 Loss_D_fake 0.027655
[680/5000][205/535][69986] Loss_D: -0.022740 Loss_G: 0.016587 Loss_D_real: -0.031304 Loss_D_fake -0.008564
[680/5000][210/535][69987] Loss_D: -0.024469 Loss_G: 0.012718 Loss_D_real: -0.017896 Loss_D_fake 0.006574
[680/5000][215/535][69988] Loss_D: -0.025152 Loss_G: 0.015189 Loss_D_real: -0.014094 Loss_D_fake 0.011057
[680/5000][220/535][69989] Loss_D: -0.023461 Loss_G: 0.021691 Loss_D_real: -0.027201 Loss_D_fake -0.003740
[680/5000][225/535][69990] Loss_D: -0.023429 Loss_G: 0.005034 Loss_D_real: -0.013903 Loss_D_fake 0.009527
[680/5000][230/535][69991] Loss_D: -0.024064 Loss_G: 0.011243 Loss_D_real: -0.031318 Loss_D_fake -0.007254
[680/5000][235/535][69992] Loss_D: -0.024721 Loss_G: 0.010645 Loss_D_real: -0.023279 Loss_D_fake 0.001442
[680/5000][240/535][69993] Loss_D: -0.023135 Loss_G: -0.016459 Loss_D_real: 0.000467 Loss_D_fake 0.023602
[680/5000][245/535][69994] Loss_D: -0.023439 Loss_G: 0.010706 Loss_D_real: -0.027635 Loss_D_fake -0.004196
[680/5000][250/535][69995] Loss_D: -0.024241 Loss_G: 0.016199 Loss_D_real: -0.028744 Loss_D_fake -0.004502
[680/5000][255/535][69996] Loss_D: -0.023849 Loss_G: 0.019593 Loss_D_real: -0.021007 Loss_D_fake 0.002842
[680/5000][260/535][69997] Loss_D: -0.024740 Loss_G: 0.018656 Loss_D_real: -0.024851 Loss_D_fake -0.000111
[680/5000][265/535][69998] Loss_D: -0.023123 Loss_G: -0.005412 Loss_D_real: 0.003197 Loss_D_fake 0.026319
[680/5000][270/535][69999] Loss_D: -0.023935 Loss_G: -0.000646 Loss_D_real: -0.009933 Loss_D_fake 0.014002
[680/5000][275/535][70000] Loss_D: -0.024870 Loss_G: 0.005997 Loss_D_real: -0.014399 Loss_D_fake 0.010471
[680/5000][375/535][70001] Loss_D: -0.027911 Loss_G: -0.000881 Loss_D_real: -0.013365 Loss_D_fake 0.014545
[680/5000][380/535][70002] Loss_D: -0.022136 Loss_G: 0.015980 Loss_D_real: -0.016905 Loss_D_fake 0.005231
[680/5000][385/535][70003] Loss_D: -0.023114 Loss_G: 0.006636 Loss_D_real: -0.011440 Loss_D_fake 0.011674
[680/5000][390/535][70004] Loss_D: -0.023594 Loss_G: 0.013943 Loss_D_real: -0.015305 Loss_D_fake 0.008289
[680/5000][395/535][70005] Loss_D: -0.022989 Loss_G: 0.012927 Loss_D_real: -0.012035 Loss_D_fake 0.010953
[680/5000][400/535][70006] Loss_D: -0.023394 Loss_G: 0.010960 Loss_D_real: -0.019347 Loss_D_fake 0.004046
[680/5000][405/535][70007] Loss_D: -0.022022 Loss_G: 0.007499 Loss_D_real: -0.022674 Loss_D_fake -0.000652
[680/5000][410/535][70008] Loss_D: -0.022421 Loss_G: -0.002816 Loss_D_real: -0.005301 Loss_D_fake 0.017121
[680/5000][415/535][70009] Loss_D: -0.023206 Loss_G: 0.015288 Loss_D_real: -0.018234 Loss_D_fake 0.004972
[680/5000][420/535][70010] Loss_D: -0.024249 Loss_G: 0.019992 Loss_D_real: -0.022518 Loss_D_fake 0.001731
[680/5000][425/535][70011] Loss_D: -0.023839 Loss_G: 0.010492 Loss_D_real: -0.007835 Loss_D_fake 0.016003
[680/5000][430/535][70012] Loss_D: -0.021530 Loss_G: 0.017597 Loss_D_real: -0.016946 Loss_D_fake 0.004584
[680/5000][435/535][70013] Loss_D: -0.022376 Loss_G: -0.003432 Loss_D_real: -0.016991 Loss_D_fake 0.005385
[680/5000][440/535][70014] Loss_D: -0.022485 Loss_G: -0.005745 Loss_D_real: -0.006408 Loss_D_fake 0.016076
[680/5000][445/535][70015] Loss_D: -0.023410 Loss_G: 0.009136 Loss_D_real: -0.012103 Loss_D_fake 0.011307
[680/5000][450/535][70016] Loss_D: -0.023536 Loss_G: 0.021092 Loss_D_real: -0.026408 Loss_D_fake -0.002872
[680/5000][455/535][70017] Loss_D: -0.025884 Loss_G: 0.009476 Loss_D_real: -0.021606 Loss_D_fake 0.004278
[680/5000][460/535][70018] Loss_D: -0.023708 Loss_G: 0.016520 Loss_D_real: -0.019435 Loss_D_fake 0.004273
[680/5000][465/535][70019] Loss_D: -0.023729 Loss_G: -0.002374 Loss_D_real: -0.001457 Loss_D_fake 0.022271
[680/5000][470/535][70020] Loss_D: -0.023556 Loss_G: 0.020190 Loss_D_real: -0.022907 Loss_D_fake 0.000649
[680/5000][475/535][70021] Loss_D: -0.024159 Loss_G: 0.011686 Loss_D_real: -0.013548 Loss_D_fake 0.010611
[680/5000][480/535][70022] Loss_D: -0.023024 Loss_G: -0.006277 Loss_D_real: -0.010408 Loss_D_fake 0.012616
[680/5000][485/535][70023] Loss_D: -0.022517 Loss_G: 0.004434 Loss_D_real: -0.013169 Loss_D_fake 0.009348
[680/5000][490/535][70024] Loss_D: -0.024060 Loss_G: 0.009869 Loss_D_real: -0.014019 Loss_D_fake 0.010040
[680/5000][495/535][70025] Loss_D: -0.022632 Loss_G: 0.025296 Loss_D_real: -0.013947 Loss_D_fake 0.008685
[680/5000][500/535][70026] Loss_D: -0.022090 Loss_G: 0.027609 Loss_D_real: -0.018721 Loss_D_fake 0.003368
[680/5000][505/535][70027] Loss_D: -0.023408 Loss_G: 0.008927 Loss_D_real: -0.014732 Loss_D_fake 0.008676
[680/5000][510/535][70028] Loss_D: -0.023581 Loss_G: 0.016868 Loss_D_real: -0.016876 Loss_D_fake 0.006705
[680/5000][515/535][70029] Loss_D: -0.023429 Loss_G: 0.017957 Loss_D_real: -0.028082 Loss_D_fake -0.004653
[680/5000][520/535][70030] Loss_D: -0.024999 Loss_G: 0.022618 Loss_D_real: -0.027056 Loss_D_fake -0.002057
[680/5000][525/535][70031] Loss_D: -0.024152 Loss_G: 0.026104 Loss_D_real: -0.035406 Loss_D_fake -0.011254
[680/5000][530/535][70032] Loss_D: -0.023882 Loss_G: 0.012669 Loss_D_real: -0.021479 Loss_D_fake 0.002403
[680/5000][535/535][70033] Loss_D: -0.023976 Loss_G: -0.020992 Loss_D_real: -0.019679 Loss_D_fake 0.004297
[681/5000][5/535][70034] Loss_D: -0.022548 Loss_G: 0.016017 Loss_D_real: -0.028792 Loss_D_fake -0.006244
[681/5000][10/535][70035] Loss_D: -0.025169 Loss_G: 0.016453 Loss_D_real: -0.021882 Loss_D_fake 0.003287
[681/5000][15/535][70036] Loss_D: -0.023605 Loss_G: 0.025417 Loss_D_real: -0.022688 Loss_D_fake 0.000917
[681/5000][20/535][70037] Loss_D: -0.023792 Loss_G: -0.003861 Loss_D_real: -0.011459 Loss_D_fake 0.012333
[681/5000][25/535][70038] Loss_D: -0.024211 Loss_G: 0.000269 Loss_D_real: -0.015641 Loss_D_fake 0.008571
[681/5000][30/535][70039] Loss_D: -0.023783 Loss_G: 0.025126 Loss_D_real: -0.029940 Loss_D_fake -0.006157
[681/5000][35/535][70040] Loss_D: -0.024204 Loss_G: 0.002791 Loss_D_real: -0.006219 Loss_D_fake 0.017985
[681/5000][40/535][70041] Loss_D: -0.023323 Loss_G: 0.006181 Loss_D_real: -0.018768 Loss_D_fake 0.004555
[681/5000][45/535][70042] Loss_D: -0.024459 Loss_G: 0.007469 Loss_D_real: -0.022100 Loss_D_fake 0.002359
[681/5000][50/535][70043] Loss_D: -0.024790 Loss_G: 0.009843 Loss_D_real: -0.024964 Loss_D_fake -0.000173
[681/5000][55/535][70044] Loss_D: -0.023522 Loss_G: 0.019335 Loss_D_real: -0.031732 Loss_D_fake -0.008210
[681/5000][60/535][70045] Loss_D: -0.024114 Loss_G: 0.028246 Loss_D_real: -0.032247 Loss_D_fake -0.008132
[681/5000][65/535][70046] Loss_D: -0.023644 Loss_G: 0.006034 Loss_D_real: -0.008227 Loss_D_fake 0.015417
[681/5000][70/535][70047] Loss_D: -0.024065 Loss_G: 0.013164 Loss_D_real: -0.024796 Loss_D_fake -0.000731
[681/5000][75/535][70048] Loss_D: -0.023620 Loss_G: -0.007922 Loss_D_real: 0.001751 Loss_D_fake 0.025371
[681/5000][80/535][70049] Loss_D: -0.023883 Loss_G: 0.010316 Loss_D_real: -0.017308 Loss_D_fake 0.006575
[681/5000][85/535][70050] Loss_D: -0.024110 Loss_G: -0.004083 Loss_D_real: 0.001017 Loss_D_fake 0.025127
[681/5000][90/535][70051] Loss_D: -0.023108 Loss_G: 0.013339 Loss_D_real: -0.010898 Loss_D_fake 0.012210
[681/5000][95/535][70052] Loss_D: -0.023561 Loss_G: 0.011521 Loss_D_real: -0.014015 Loss_D_fake 0.009546
[681/5000][100/535][70053] Loss_D: -0.024471 Loss_G: 0.014412 Loss_D_real: -0.024428 Loss_D_fake 0.000042
[681/5000][105/535][70054] Loss_D: -0.024413 Loss_G: -0.004358 Loss_D_real: -0.003098 Loss_D_fake 0.021315
[681/5000][110/535][70055] Loss_D: -0.023362 Loss_G: 0.006438 Loss_D_real: -0.006186 Loss_D_fake 0.017175
[681/5000][115/535][70056] Loss_D: -0.023736 Loss_G: -0.009005 Loss_D_real: -0.002017 Loss_D_fake 0.021719
[681/5000][120/535][70057] Loss_D: -0.021142 Loss_G: 0.035257 Loss_D_real: -0.032266 Loss_D_fake -0.011124
[681/5000][125/535][70058] Loss_D: -0.025543 Loss_G: 0.014684 Loss_D_real: -0.008739 Loss_D_fake 0.016804
[681/5000][130/535][70059] Loss_D: -0.023922 Loss_G: 0.017612 Loss_D_real: -0.033346 Loss_D_fake -0.009424
[681/5000][135/535][70060] Loss_D: -0.026604 Loss_G: -0.001477 Loss_D_real: -0.014709 Loss_D_fake 0.011895
[681/5000][140/535][70061] Loss_D: -0.023504 Loss_G: 0.025789 Loss_D_real: -0.028689 Loss_D_fake -0.005185
[681/5000][145/535][70062] Loss_D: -0.023393 Loss_G: 0.024101 Loss_D_real: -0.031121 Loss_D_fake -0.007728
[681/5000][150/535][70063] Loss_D: -0.025560 Loss_G: 0.015577 Loss_D_real: -0.031384 Loss_D_fake -0.005823
[681/5000][155/535][70064] Loss_D: -0.026594 Loss_G: 0.001083 Loss_D_real: -0.014779 Loss_D_fake 0.011815
[681/5000][160/535][70065] Loss_D: -0.024670 Loss_G: 0.024381 Loss_D_real: -0.024240 Loss_D_fake 0.000430
[681/5000][165/535][70066] Loss_D: -0.024191 Loss_G: 0.004426 Loss_D_real: -0.001193 Loss_D_fake 0.022999
[681/5000][170/535][70067] Loss_D: -0.022887 Loss_G: -0.006666 Loss_D_real: -0.010000 Loss_D_fake 0.012887
[681/5000][175/535][70068] Loss_D: -0.024528 Loss_G: 0.010969 Loss_D_real: -0.025630 Loss_D_fake -0.001103
[681/5000][180/535][70069] Loss_D: -0.025041 Loss_G: 0.019521 Loss_D_real: -0.008821 Loss_D_fake 0.016220
[681/5000][185/535][70070] Loss_D: -0.024816 Loss_G: 0.002590 Loss_D_real: -0.007243 Loss_D_fake 0.017572
[681/5000][190/535][70071] Loss_D: -0.023315 Loss_G: 0.002900 Loss_D_real: -0.007627 Loss_D_fake 0.015688
[681/5000][195/535][70072] Loss_D: -0.023621 Loss_G: 0.010691 Loss_D_real: -0.015224 Loss_D_fake 0.008396
[681/5000][200/535][70073] Loss_D: -0.024614 Loss_G: 0.025819 Loss_D_real: -0.025612 Loss_D_fake -0.000998
[681/5000][205/535][70074] Loss_D: -0.024174 Loss_G: 0.021346 Loss_D_real: -0.020741 Loss_D_fake 0.003433
[681/5000][210/535][70075] Loss_D: -0.024305 Loss_G: -0.004327 Loss_D_real: -0.009157 Loss_D_fake 0.015148
[681/5000][215/535][70076] Loss_D: -0.024351 Loss_G: 0.006586 Loss_D_real: -0.007414 Loss_D_fake 0.016937
[681/5000][220/535][70077] Loss_D: -0.025182 Loss_G: 0.009984 Loss_D_real: -0.018532 Loss_D_fake 0.006651
[681/5000][225/535][70078] Loss_D: -0.023364 Loss_G: -0.003166 Loss_D_real: -0.007381 Loss_D_fake 0.015983
[681/5000][230/535][70079] Loss_D: -0.023794 Loss_G: 0.018988 Loss_D_real: -0.028534 Loss_D_fake -0.004740
[681/5000][235/535][70080] Loss_D: -0.023581 Loss_G: 0.010460 Loss_D_real: -0.011520 Loss_D_fake 0.012061
[681/5000][240/535][70081] Loss_D: -0.022962 Loss_G: -0.010780 Loss_D_real: 0.001150 Loss_D_fake 0.024112
[681/5000][245/535][70082] Loss_D: -0.024189 Loss_G: 0.004795 Loss_D_real: -0.016043 Loss_D_fake 0.008146
[681/5000][250/535][70083] Loss_D: -0.023771 Loss_G: 0.021726 Loss_D_real: -0.028015 Loss_D_fake -0.004244
[681/5000][255/535][70084] Loss_D: -0.023153 Loss_G: 0.003975 Loss_D_real: -0.011320 Loss_D_fake 0.011833
[681/5000][260/535][70085] Loss_D: -0.023641 Loss_G: 0.018851 Loss_D_real: -0.022671 Loss_D_fake 0.000970
[681/5000][265/535][70086] Loss_D: -0.025123 Loss_G: -0.003177 Loss_D_real: -0.010349 Loss_D_fake 0.014775
[681/5000][270/535][70087] Loss_D: -0.024283 Loss_G: 0.016160 Loss_D_real: -0.021368 Loss_D_fake 0.002916
[681/5000][275/535][70088] Loss_D: -0.023598 Loss_G: 0.009429 Loss_D_real: -0.014689 Loss_D_fake 0.008909
[681/5000][280/535][70089] Loss_D: -0.025398 Loss_G: 0.003124 Loss_D_real: -0.007150 Loss_D_fake 0.018249
[681/5000][285/535][70090] Loss_D: -0.023362 Loss_G: 0.009762 Loss_D_real: -0.023727 Loss_D_fake -0.000365
[681/5000][290/535][70091] Loss_D: -0.022917 Loss_G: -0.003482 Loss_D_real: -0.009422 Loss_D_fake 0.013495
[681/5000][295/535][70092] Loss_D: -0.021758 Loss_G: 0.023529 Loss_D_real: -0.033969 Loss_D_fake -0.012210
[681/5000][300/535][70093] Loss_D: -0.025054 Loss_G: 0.010637 Loss_D_real: -0.018628 Loss_D_fake 0.006427
[681/5000][305/535][70094] Loss_D: -0.023789 Loss_G: 0.019988 Loss_D_real: -0.025663 Loss_D_fake -0.001875
[681/5000][310/535][70095] Loss_D: -0.022866 Loss_G: 0.031110 Loss_D_real: -0.025099 Loss_D_fake -0.002234
[681/5000][315/535][70096] Loss_D: -0.024319 Loss_G: 0.013245 Loss_D_real: -0.016130 Loss_D_fake 0.008189
[681/5000][320/535][70097] Loss_D: -0.023898 Loss_G: 0.007418 Loss_D_real: -0.012839 Loss_D_fake 0.011059
[681/5000][325/535][70098] Loss_D: -0.025017 Loss_G: 0.014186 Loss_D_real: -0.013772 Loss_D_fake 0.011245
[681/5000][330/535][70099] Loss_D: -0.024007 Loss_G: 0.005088 Loss_D_real: -0.013427 Loss_D_fake 0.010581
[681/5000][335/535][70100] Loss_D: -0.024472 Loss_G: -0.000461 Loss_D_real: -0.018681 Loss_D_fake 0.005790
[681/5000][340/535][70101] Loss_D: -0.024676 Loss_G: -0.012045 Loss_D_real: 0.001160 Loss_D_fake 0.025836
[681/5000][345/535][70102] Loss_D: -0.023064 Loss_G: -0.001850 Loss_D_real: -0.003928 Loss_D_fake 0.019136
[681/5000][350/535][70103] Loss_D: -0.023938 Loss_G: 0.022275 Loss_D_real: -0.024146 Loss_D_fake -0.000208
[681/5000][355/535][70104] Loss_D: -0.024906 Loss_G: -0.004010 Loss_D_real: -0.014691 Loss_D_fake 0.010215
[681/5000][360/535][70105] Loss_D: -0.023147 Loss_G: 0.025985 Loss_D_real: -0.024692 Loss_D_fake -0.001545
[681/5000][365/535][70106] Loss_D: -0.023234 Loss_G: 0.027858 Loss_D_real: -0.031646 Loss_D_fake -0.008412
[681/5000][370/535][70107] Loss_D: -0.023979 Loss_G: -0.019629 Loss_D_real: -0.004092 Loss_D_fake 0.019887
[681/5000][375/535][70108] Loss_D: -0.024292 Loss_G: 0.011989 Loss_D_real: -0.018892 Loss_D_fake 0.005400
[681/5000][380/535][70109] Loss_D: -0.024223 Loss_G: 0.014011 Loss_D_real: -0.017251 Loss_D_fake 0.006973
[681/5000][385/535][70110] Loss_D: -0.024089 Loss_G: 0.022111 Loss_D_real: -0.028983 Loss_D_fake -0.004894
[681/5000][390/535][70111] Loss_D: -0.025218 Loss_G: 0.035170 Loss_D_real: -0.025153 Loss_D_fake 0.000065
[681/5000][395/535][70112] Loss_D: -0.024004 Loss_G: -0.005286 Loss_D_real: -0.013262 Loss_D_fake 0.010741
[681/5000][400/535][70113] Loss_D: -0.024142 Loss_G: 0.001097 Loss_D_real: -0.010363 Loss_D_fake 0.013779
[681/5000][405/535][70114] Loss_D: -0.024564 Loss_G: 0.007467 Loss_D_real: -0.013828 Loss_D_fake 0.010736
[681/5000][410/535][70115] Loss_D: -0.024773 Loss_G: 0.007341 Loss_D_real: -0.005506 Loss_D_fake 0.019267
[681/5000][415/535][70116] Loss_D: -0.023567 Loss_G: 0.031915 Loss_D_real: -0.023589 Loss_D_fake -0.000022
[681/5000][420/535][70117] Loss_D: -0.024188 Loss_G: 0.014394 Loss_D_real: -0.015285 Loss_D_fake 0.008902
[681/5000][425/535][70118] Loss_D: -0.023222 Loss_G: 0.030942 Loss_D_real: -0.029573 Loss_D_fake -0.006351
[681/5000][430/535][70119] Loss_D: -0.023397 Loss_G: -0.003763 Loss_D_real: -0.007332 Loss_D_fake 0.016065
[681/5000][435/535][70120] Loss_D: -0.023197 Loss_G: 0.025012 Loss_D_real: -0.037090 Loss_D_fake -0.013893
[681/5000][440/535][70121] Loss_D: -0.025324 Loss_G: 0.006473 Loss_D_real: -0.011364 Loss_D_fake 0.013960
[681/5000][445/535][70122] Loss_D: -0.024058 Loss_G: -0.005586 Loss_D_real: -0.009612 Loss_D_fake 0.014445
[681/5000][450/535][70123] Loss_D: -0.022418 Loss_G: 0.021179 Loss_D_real: -0.025443 Loss_D_fake -0.003025
[681/5000][455/535][70124] Loss_D: -0.024013 Loss_G: 0.004548 Loss_D_real: -0.009667 Loss_D_fake 0.014347
[681/5000][460/535][70125] Loss_D: -0.023843 Loss_G: -0.005897 Loss_D_real: 0.002915 Loss_D_fake 0.026758
[681/5000][465/535][70126] Loss_D: -0.025419 Loss_G: 0.028742 Loss_D_real: -0.022113 Loss_D_fake 0.003306
[681/5000][470/535][70127] Loss_D: -0.024668 Loss_G: 0.009675 Loss_D_real: -0.017637 Loss_D_fake 0.007031
[681/5000][475/535][70128] Loss_D: -0.024692 Loss_G: 0.017979 Loss_D_real: -0.027542 Loss_D_fake -0.002850
[681/5000][480/535][70129] Loss_D: -0.024332 Loss_G: 0.027184 Loss_D_real: -0.031433 Loss_D_fake -0.007101
[681/5000][485/535][70130] Loss_D: -0.025732 Loss_G: 0.029593 Loss_D_real: -0.022577 Loss_D_fake 0.003155
[681/5000][490/535][70131] Loss_D: -0.022626 Loss_G: 0.024325 Loss_D_real: -0.027317 Loss_D_fake -0.004690
[681/5000][495/535][70132] Loss_D: -0.025074 Loss_G: 0.021086 Loss_D_real: -0.030089 Loss_D_fake -0.005015
[681/5000][500/535][70133] Loss_D: -0.024110 Loss_G: 0.015696 Loss_D_real: -0.018058 Loss_D_fake 0.006052
[681/5000][505/535][70134] Loss_D: -0.024305 Loss_G: 0.008370 Loss_D_real: -0.014820 Loss_D_fake 0.009486
[681/5000][510/535][70135] Loss_D: -0.025136 Loss_G: 0.021759 Loss_D_real: -0.031930 Loss_D_fake -0.006794
[681/5000][515/535][70136] Loss_D: -0.025969 Loss_G: 0.009343 Loss_D_real: -0.015681 Loss_D_fake 0.010287
[681/5000][520/535][70137] Loss_D: -0.025061 Loss_G: 0.017050 Loss_D_real: -0.013981 Loss_D_fake 0.011080
[681/5000][525/535][70138] Loss_D: -0.024848 Loss_G: 0.011393 Loss_D_real: -0.011685 Loss_D_fake 0.013163
[681/5000][530/535][70139] Loss_D: -0.023236 Loss_G: 0.044046 Loss_D_real: -0.037365 Loss_D_fake -0.014129
[681/5000][535/535][70140] Loss_D: -0.026052 Loss_G: 0.006396 Loss_D_real: -0.015285 Loss_D_fake 0.010767
[682/5000][5/535][70141] Loss_D: -0.022965 Loss_G: -0.013185 Loss_D_real: -0.007016 Loss_D_fake 0.015949
[682/5000][10/535][70142] Loss_D: -0.023647 Loss_G: 0.007520 Loss_D_real: -0.009113 Loss_D_fake 0.014534
[682/5000][15/535][70143] Loss_D: -0.023415 Loss_G: 0.009399 Loss_D_real: -0.002704 Loss_D_fake 0.020711
[682/5000][20/535][70144] Loss_D: -0.023431 Loss_G: 0.011891 Loss_D_real: -0.019873 Loss_D_fake 0.003558
[682/5000][25/535][70145] Loss_D: -0.024397 Loss_G: 0.004215 Loss_D_real: -0.012245 Loss_D_fake 0.012152
[682/5000][30/535][70146] Loss_D: -0.024432 Loss_G: 0.007848 Loss_D_real: -0.015452 Loss_D_fake 0.008980
[682/5000][35/535][70147] Loss_D: -0.025106 Loss_G: 0.013896 Loss_D_real: -0.018942 Loss_D_fake 0.006164
[682/5000][40/535][70148] Loss_D: -0.023870 Loss_G: 0.008303 Loss_D_real: -0.010063 Loss_D_fake 0.013807
[682/5000][45/535][70149] Loss_D: -0.023651 Loss_G: 0.003953 Loss_D_real: -0.017018 Loss_D_fake 0.006633
[682/5000][50/535][70150] Loss_D: -0.024467 Loss_G: 0.016344 Loss_D_real: -0.015424 Loss_D_fake 0.009043
[682/5000][55/535][70151] Loss_D: -0.024469 Loss_G: 0.023703 Loss_D_real: -0.026002 Loss_D_fake -0.001532
[682/5000][60/535][70152] Loss_D: -0.024460 Loss_G: 0.028619 Loss_D_real: -0.028872 Loss_D_fake -0.004412
[682/5000][65/535][70153] Loss_D: -0.024368 Loss_G: 0.005702 Loss_D_real: -0.026346 Loss_D_fake -0.001978
[682/5000][70/535][70154] Loss_D: -0.025348 Loss_G: 0.001874 Loss_D_real: -0.009404 Loss_D_fake 0.015944
[682/5000][75/535][70155] Loss_D: -0.024004 Loss_G: 0.020227 Loss_D_real: -0.012121 Loss_D_fake 0.011883
[682/5000][80/535][70156] Loss_D: -0.023466 Loss_G: -0.012535 Loss_D_real: -0.002990 Loss_D_fake 0.020476
[682/5000][85/535][70157] Loss_D: -0.023396 Loss_G: 0.002457 Loss_D_real: -0.013031 Loss_D_fake 0.010365
[682/5000][90/535][70158] Loss_D: -0.025250 Loss_G: -0.012353 Loss_D_real: -0.014211 Loss_D_fake 0.011039
[682/5000][95/535][70159] Loss_D: -0.023826 Loss_G: -0.005582 Loss_D_real: -0.009239 Loss_D_fake 0.014586
[682/5000][100/535][70160] Loss_D: -0.024275 Loss_G: 0.027645 Loss_D_real: -0.035321 Loss_D_fake -0.011045
[682/5000][105/535][70161] Loss_D: -0.023585 Loss_G: 0.011680 Loss_D_real: -0.022108 Loss_D_fake 0.001477
[682/5000][110/535][70162] Loss_D: -0.024717 Loss_G: 0.031028 Loss_D_real: -0.033117 Loss_D_fake -0.008400
[682/5000][115/535][70163] Loss_D: -0.023525 Loss_G: 0.019714 Loss_D_real: -0.016023 Loss_D_fake 0.007502
[682/5000][120/535][70164] Loss_D: -0.023084 Loss_G: 0.025193 Loss_D_real: -0.033550 Loss_D_fake -0.010466
[682/5000][125/535][70165] Loss_D: -0.023793 Loss_G: 0.015041 Loss_D_real: -0.019744 Loss_D_fake 0.004049
[682/5000][130/535][70166] Loss_D: -0.023930 Loss_G: 0.026443 Loss_D_real: -0.028756 Loss_D_fake -0.004825
[682/5000][135/535][70167] Loss_D: -0.024449 Loss_G: 0.019309 Loss_D_real: -0.022845 Loss_D_fake 0.001604
[682/5000][140/535][70168] Loss_D: -0.024403 Loss_G: 0.011699 Loss_D_real: -0.011946 Loss_D_fake 0.012457
[682/5000][145/535][70169] Loss_D: -0.024875 Loss_G: 0.015015 Loss_D_real: -0.026480 Loss_D_fake -0.001604
[682/5000][150/535][70170] Loss_D: -0.024190 Loss_G: 0.023742 Loss_D_real: -0.029967 Loss_D_fake -0.005777
[682/5000][155/535][70171] Loss_D: -0.024257 Loss_G: 0.010991 Loss_D_real: -0.014285 Loss_D_fake 0.009971
[682/5000][160/535][70172] Loss_D: -0.022683 Loss_G: 0.026137 Loss_D_real: -0.032585 Loss_D_fake -0.009903
[682/5000][165/535][70173] Loss_D: -0.023720 Loss_G: 0.016618 Loss_D_real: -0.018296 Loss_D_fake 0.005424
[682/5000][170/535][70174] Loss_D: -0.023793 Loss_G: 0.002885 Loss_D_real: -0.020139 Loss_D_fake 0.003654
[682/5000][175/535][70175] Loss_D: -0.023383 Loss_G: 0.004777 Loss_D_real: -0.014661 Loss_D_fake 0.008722
[682/5000][180/535][70176] Loss_D: -0.024289 Loss_G: -0.002813 Loss_D_real: -0.015896 Loss_D_fake 0.008393
[682/5000][185/535][70177] Loss_D: -0.025140 Loss_G: 0.025252 Loss_D_real: -0.025768 Loss_D_fake -0.000628
[682/5000][190/535][70178] Loss_D: -0.024639 Loss_G: -0.000795 Loss_D_real: 0.002778 Loss_D_fake 0.027416
[682/5000][195/535][70179] Loss_D: -0.023892 Loss_G: 0.022719 Loss_D_real: -0.022901 Loss_D_fake 0.000991
[682/5000][200/535][70180] Loss_D: -0.023250 Loss_G: 0.011598 Loss_D_real: -0.012822 Loss_D_fake 0.010428
[682/5000][205/535][70181] Loss_D: -0.023275 Loss_G: 0.004193 Loss_D_real: -0.020414 Loss_D_fake 0.002861
[682/5000][210/535][70182] Loss_D: -0.023834 Loss_G: 0.010700 Loss_D_real: -0.019965 Loss_D_fake 0.003870
[682/5000][215/535][70183] Loss_D: -0.023744 Loss_G: 0.001725 Loss_D_real: -0.007485 Loss_D_fake 0.016259
[682/5000][220/535][70184] Loss_D: -0.024100 Loss_G: 0.009215 Loss_D_real: -0.013334 Loss_D_fake 0.010766
[682/5000][225/535][70185] Loss_D: -0.023977 Loss_G: 0.003776 Loss_D_real: -0.006681 Loss_D_fake 0.017296
[682/5000][230/535][70186] Loss_D: -0.023512 Loss_G: 0.033064 Loss_D_real: -0.026719 Loss_D_fake -0.003207
[682/5000][235/535][70187] Loss_D: -0.025986 Loss_G: 0.001532 Loss_D_real: -0.011148 Loss_D_fake 0.014838
[682/5000][240/535][70188] Loss_D: -0.024127 Loss_G: 0.018603 Loss_D_real: -0.023951 Loss_D_fake 0.000176
[682/5000][245/535][70189] Loss_D: -0.025093 Loss_G: 0.006497 Loss_D_real: -0.015598 Loss_D_fake 0.009495
[682/5000][250/535][70190] Loss_D: -0.022958 Loss_G: 0.009045 Loss_D_real: -0.007937 Loss_D_fake 0.015021
[682/5000][255/535][70191] Loss_D: -0.024847 Loss_G: 0.017705 Loss_D_real: -0.019123 Loss_D_fake 0.005724
[682/5000][260/535][70192] Loss_D: -0.023097 Loss_G: 0.018394 Loss_D_real: -0.029696 Loss_D_fake -0.006599
[682/5000][265/535][70193] Loss_D: -0.024256 Loss_G: 0.002764 Loss_D_real: -0.000619 Loss_D_fake 0.023637
[682/5000][270/535][70194] Loss_D: -0.022626 Loss_G: 0.014896 Loss_D_real: -0.014287 Loss_D_fake 0.008338
[682/5000][275/535][70195] Loss_D: -0.025356 Loss_G: -0.009642 Loss_D_real: -0.012648 Loss_D_fake 0.012708
[682/5000][280/535][70196] Loss_D: -0.024506 Loss_G: 0.011923 Loss_D_real: -0.028916 Loss_D_fake -0.004410
[682/5000][285/535][70197] Loss_D: -0.025011 Loss_G: 0.001017 Loss_D_real: -0.002708 Loss_D_fake 0.022303
[682/5000][290/535][70198] Loss_D: -0.024019 Loss_G: 0.025606 Loss_D_real: -0.025655 Loss_D_fake -0.001636
[682/5000][295/535][70199] Loss_D: -0.025334 Loss_G: 0.006121 Loss_D_real: -0.012244 Loss_D_fake 0.013090
[682/5000][300/535][70200] Loss_D: -0.025359 Loss_G: 0.005825 Loss_D_real: -0.010029 Loss_D_fake 0.015331
[682/5000][305/535][70201] Loss_D: -0.023609 Loss_G: 0.011317 Loss_D_real: -0.023584 Loss_D_fake 0.000025
[682/5000][310/535][70202] Loss_D: -0.024286 Loss_G: 0.002904 Loss_D_real: -0.013209 Loss_D_fake 0.011077
[682/5000][315/535][70203] Loss_D: -0.023622 Loss_G: 0.026164 Loss_D_real: -0.029606 Loss_D_fake -0.005984
[682/5000][320/535][70204] Loss_D: -0.023308 Loss_G: 0.010413 Loss_D_real: -0.012419 Loss_D_fake 0.010889
[682/5000][325/535][70205] Loss_D: -0.023371 Loss_G: 0.007786 Loss_D_real: -0.019509 Loss_D_fake 0.003863
[682/5000][330/535][70206] Loss_D: -0.024679 Loss_G: -0.002580 Loss_D_real: -0.016979 Loss_D_fake 0.007700
[682/5000][335/535][70207] Loss_D: -0.024736 Loss_G: 0.008498 Loss_D_real: -0.017109 Loss_D_fake 0.007627
[682/5000][340/535][70208] Loss_D: -0.023202 Loss_G: -0.004379 Loss_D_real: -0.004331 Loss_D_fake 0.018871
[682/5000][345/535][70209] Loss_D: -0.023710 Loss_G: 0.003190 Loss_D_real: -0.013883 Loss_D_fake 0.009827
[682/5000][350/535][70210] Loss_D: -0.024665 Loss_G: 0.013405 Loss_D_real: -0.015753 Loss_D_fake 0.008911
[682/5000][355/535][70211] Loss_D: -0.023394 Loss_G: -0.013453 Loss_D_real: -0.001489 Loss_D_fake 0.021905
[682/5000][360/535][70212] Loss_D: -0.024337 Loss_G: 0.025270 Loss_D_real: -0.033355 Loss_D_fake -0.009019
[682/5000][365/535][70213] Loss_D: -0.023975 Loss_G: 0.026216 Loss_D_real: -0.024143 Loss_D_fake -0.000167
[682/5000][370/535][70214] Loss_D: -0.024776 Loss_G: 0.012450 Loss_D_real: -0.023707 Loss_D_fake 0.001069
[682/5000][375/535][70215] Loss_D: -0.026544 Loss_G: 0.014584 Loss_D_real: -0.024813 Loss_D_fake 0.001731
[682/5000][380/535][70216] Loss_D: -0.026248 Loss_G: 0.017034 Loss_D_real: -0.017444 Loss_D_fake 0.008804
[682/5000][385/535][70217] Loss_D: -0.024795 Loss_G: -0.000698 Loss_D_real: -0.015465 Loss_D_fake 0.009330
[682/5000][390/535][70218] Loss_D: -0.024234 Loss_G: 0.017843 Loss_D_real: -0.022563 Loss_D_fake 0.001671
[682/5000][395/535][70219] Loss_D: -0.023584 Loss_G: -0.001808 Loss_D_real: 0.000597 Loss_D_fake 0.024181
[682/5000][400/535][70220] Loss_D: -0.024303 Loss_G: 0.024452 Loss_D_real: -0.020833 Loss_D_fake 0.003470
[682/5000][405/535][70221] Loss_D: -0.024909 Loss_G: 0.008339 Loss_D_real: -0.016231 Loss_D_fake 0.008678
[682/5000][410/535][70222] Loss_D: -0.026414 Loss_G: -0.002151 Loss_D_real: -0.007898 Loss_D_fake 0.018516
[682/5000][415/535][70223] Loss_D: -0.022769 Loss_G: -0.005035 Loss_D_real: 0.000736 Loss_D_fake 0.023506
[682/5000][420/535][70224] Loss_D: -0.023562 Loss_G: -0.003419 Loss_D_real: -0.011495 Loss_D_fake 0.012066
[682/5000][425/535][70225] Loss_D: -0.024605 Loss_G: -0.000183 Loss_D_real: -0.006545 Loss_D_fake 0.018059
[682/5000][430/535][70226] Loss_D: -0.024261 Loss_G: 0.029089 Loss_D_real: -0.023492 Loss_D_fake 0.000769
[682/5000][435/535][70227] Loss_D: -0.024058 Loss_G: 0.027151 Loss_D_real: -0.024751 Loss_D_fake -0.000693
[682/5000][440/535][70228] Loss_D: -0.022524 Loss_G: 0.026763 Loss_D_real: -0.021223 Loss_D_fake 0.001301
[682/5000][445/535][70229] Loss_D: -0.022494 Loss_G: 0.029846 Loss_D_real: -0.013446 Loss_D_fake 0.009047
[682/5000][450/535][70230] Loss_D: -0.024087 Loss_G: 0.021320 Loss_D_real: -0.020854 Loss_D_fake 0.003233
[682/5000][455/535][70231] Loss_D: -0.023867 Loss_G: -0.006066 Loss_D_real: -0.007984 Loss_D_fake 0.015883
[682/5000][460/535][70232] Loss_D: -0.025761 Loss_G: 0.009171 Loss_D_real: -0.027773 Loss_D_fake -0.002012
[682/5000][465/535][70233] Loss_D: -0.024239 Loss_G: 0.005145 Loss_D_real: -0.016685 Loss_D_fake 0.007554
[682/5000][470/535][70234] Loss_D: -0.023165 Loss_G: 0.030447 Loss_D_real: -0.034065 Loss_D_fake -0.010900
[682/5000][475/535][70235] Loss_D: -0.023744 Loss_G: 0.009670 Loss_D_real: -0.016365 Loss_D_fake 0.007379
[682/5000][480/535][70236] Loss_D: -0.023886 Loss_G: -0.008399 Loss_D_real: -0.008314 Loss_D_fake 0.015572
[682/5000][485/535][70237] Loss_D: -0.023138 Loss_G: 0.011623 Loss_D_real: -0.009142 Loss_D_fake 0.013996
[682/5000][490/535][70238] Loss_D: -0.024080 Loss_G: 0.010113 Loss_D_real: -0.027145 Loss_D_fake -0.003065
[682/5000][495/535][70239] Loss_D: -0.023913 Loss_G: 0.013158 Loss_D_real: -0.024806 Loss_D_fake -0.000893
[682/5000][500/535][70240] Loss_D: -0.023310 Loss_G: 0.016638 Loss_D_real: -0.031393 Loss_D_fake -0.008083
[682/5000][505/535][70241] Loss_D: -0.024226 Loss_G: 0.013883 Loss_D_real: -0.016509 Loss_D_fake 0.007717
[682/5000][510/535][70242] Loss_D: -0.022387 Loss_G: -0.006801 Loss_D_real: -0.012180 Loss_D_fake 0.010208
[682/5000][515/535][70243] Loss_D: -0.023462 Loss_G: 0.020692 Loss_D_real: -0.018095 Loss_D_fake 0.005367
[682/5000][520/535][70244] Loss_D: -0.024144 Loss_G: 0.017444 Loss_D_real: -0.024543 Loss_D_fake -0.000399
[682/5000][525/535][70245] Loss_D: -0.025330 Loss_G: 0.000659 Loss_D_real: -0.006588 Loss_D_fake 0.018742
[682/5000][530/535][70246] Loss_D: -0.024779 Loss_G: -0.003820 Loss_D_real: -0.014180 Loss_D_fake 0.010599
[682/5000][535/535][70247] Loss_D: -0.021645 Loss_G: -0.005841 Loss_D_real: -0.009263 Loss_D_fake 0.012382
[683/5000][5/535][70248] Loss_D: -0.023506 Loss_G: -0.005835 Loss_D_real: -0.014331 Loss_D_fake 0.009174
[683/5000][10/535][70249] Loss_D: -0.024131 Loss_G: 0.010806 Loss_D_real: -0.017234 Loss_D_fake 0.006897
[683/5000][15/535][70250] Loss_D: -0.025366 Loss_G: 0.007349 Loss_D_real: -0.018501 Loss_D_fake 0.006865
[683/5000][20/535][70251] Loss_D: -0.025092 Loss_G: 0.008696 Loss_D_real: -0.028403 Loss_D_fake -0.003311
[683/5000][25/535][70252] Loss_D: -0.026432 Loss_G: 0.018780 Loss_D_real: -0.021370 Loss_D_fake 0.005063
[683/5000][30/535][70253] Loss_D: -0.025302 Loss_G: 0.026677 Loss_D_real: -0.032533 Loss_D_fake -0.007232
[683/5000][35/535][70254] Loss_D: -0.026094 Loss_G: 0.010318 Loss_D_real: -0.008993 Loss_D_fake 0.017101
[683/5000][40/535][70255] Loss_D: -0.022629 Loss_G: 0.002420 Loss_D_real: 0.001750 Loss_D_fake 0.024379
[683/5000][45/535][70256] Loss_D: -0.023312 Loss_G: 0.021563 Loss_D_real: -0.027362 Loss_D_fake -0.004049
[683/5000][50/535][70257] Loss_D: -0.023662 Loss_G: -0.012740 Loss_D_real: 0.002956 Loss_D_fake 0.026618
[683/5000][55/535][70258] Loss_D: -0.022578 Loss_G: 0.000545 Loss_D_real: -0.008218 Loss_D_fake 0.014360
[683/5000][60/535][70259] Loss_D: -0.024192 Loss_G: 0.019285 Loss_D_real: -0.030375 Loss_D_fake -0.006183
[683/5000][65/535][70260] Loss_D: -0.024667 Loss_G: -0.001563 Loss_D_real: -0.021640 Loss_D_fake 0.003027
[683/5000][70/535][70261] Loss_D: -0.024660 Loss_G: 0.010333 Loss_D_real: -0.018756 Loss_D_fake 0.005903
[683/5000][75/535][70262] Loss_D: -0.024960 Loss_G: 0.016761 Loss_D_real: -0.028157 Loss_D_fake -0.003197
[683/5000][80/535][70263] Loss_D: -0.025128 Loss_G: 0.024495 Loss_D_real: -0.029322 Loss_D_fake -0.004193
[683/5000][85/535][70264] Loss_D: -0.024998 Loss_G: 0.015877 Loss_D_real: -0.013981 Loss_D_fake 0.011017
[683/5000][90/535][70265] Loss_D: -0.024505 Loss_G: 0.021957 Loss_D_real: -0.022332 Loss_D_fake 0.002172
[683/5000][95/535][70266] Loss_D: -0.023910 Loss_G: 0.007532 Loss_D_real: -0.004560 Loss_D_fake 0.019350
[683/5000][100/535][70267] Loss_D: -0.023898 Loss_G: 0.016952 Loss_D_real: -0.029519 Loss_D_fake -0.005621
[683/5000][105/535][70268] Loss_D: -0.024850 Loss_G: 0.012726 Loss_D_real: -0.010305 Loss_D_fake 0.014546
[683/5000][110/535][70269] Loss_D: -0.023333 Loss_G: 0.010478 Loss_D_real: -0.025572 Loss_D_fake -0.002239
[683/5000][115/535][70270] Loss_D: -0.024929 Loss_G: 0.001594 Loss_D_real: -0.011112 Loss_D_fake 0.013817
[683/5000][120/535][70271] Loss_D: -0.024933 Loss_G: 0.010394 Loss_D_real: -0.009288 Loss_D_fake 0.015644
[683/5000][125/535][70272] Loss_D: -0.024908 Loss_G: 0.018348 Loss_D_real: -0.023089 Loss_D_fake 0.001819
[683/5000][130/535][70273] Loss_D: -0.026093 Loss_G: 0.013532 Loss_D_real: -0.016700 Loss_D_fake 0.009393
[683/5000][135/535][70274] Loss_D: -0.023403 Loss_G: -0.000020 Loss_D_real: -0.011362 Loss_D_fake 0.012042
[683/5000][140/535][70275] Loss_D: -0.024821 Loss_G: 0.010626 Loss_D_real: -0.019233 Loss_D_fake 0.005588
[683/5000][145/535][70276] Loss_D: -0.023769 Loss_G: 0.018688 Loss_D_real: -0.036816 Loss_D_fake -0.013047
[683/5000][150/535][70277] Loss_D: -0.023097 Loss_G: 0.029888 Loss_D_real: -0.019170 Loss_D_fake 0.003926
[683/5000][155/535][70278] Loss_D: -0.023970 Loss_G: 0.014464 Loss_D_real: -0.013458 Loss_D_fake 0.010512
[683/5000][160/535][70279] Loss_D: -0.024524 Loss_G: 0.007473 Loss_D_real: -0.014057 Loss_D_fake 0.010467
[683/5000][165/535][70280] Loss_D: -0.023937 Loss_G: 0.018451 Loss_D_real: -0.018795 Loss_D_fake 0.005143
[683/5000][170/535][70281] Loss_D: -0.024465 Loss_G: 0.004987 Loss_D_real: -0.019057 Loss_D_fake 0.005408
[683/5000][175/535][70282] Loss_D: -0.022684 Loss_G: -0.001160 Loss_D_real: -0.010671 Loss_D_fake 0.012013
[683/5000][180/535][70283] Loss_D: -0.024417 Loss_G: 0.018977 Loss_D_real: -0.029500 Loss_D_fake -0.005083
[683/5000][185/535][70284] Loss_D: -0.023927 Loss_G: 0.031696 Loss_D_real: -0.033070 Loss_D_fake -0.009143
[683/5000][190/535][70285] Loss_D: -0.024951 Loss_G: 0.001884 Loss_D_real: -0.016153 Loss_D_fake 0.008798
[683/5000][195/535][70286] Loss_D: -0.023364 Loss_G: 0.024036 Loss_D_real: -0.029948 Loss_D_fake -0.006584
[683/5000][200/535][70287] Loss_D: -0.024516 Loss_G: -0.008951 Loss_D_real: -0.005118 Loss_D_fake 0.019397
[683/5000][205/535][70288] Loss_D: -0.024755 Loss_G: 0.024452 Loss_D_real: -0.020719 Loss_D_fake 0.004035
[683/5000][210/535][70289] Loss_D: -0.023694 Loss_G: -0.006237 Loss_D_real: -0.006651 Loss_D_fake 0.017043
[683/5000][215/535][70290] Loss_D: -0.022714 Loss_G: 0.010028 Loss_D_real: -0.028431 Loss_D_fake -0.005717
[683/5000][220/535][70291] Loss_D: -0.023567 Loss_G: 0.019631 Loss_D_real: -0.022113 Loss_D_fake 0.001454
[683/5000][225/535][70292] Loss_D: -0.025264 Loss_G: 0.022567 Loss_D_real: -0.021136 Loss_D_fake 0.004127
[683/5000][230/535][70293] Loss_D: -0.023979 Loss_G: 0.012249 Loss_D_real: -0.027380 Loss_D_fake -0.003401
[683/5000][235/535][70294] Loss_D: -0.025183 Loss_G: 0.003429 Loss_D_real: -0.019275 Loss_D_fake 0.005907
[683/5000][240/535][70295] Loss_D: -0.022730 Loss_G: 0.023900 Loss_D_real: -0.035626 Loss_D_fake -0.012896
[683/5000][245/535][70296] Loss_D: -0.024528 Loss_G: 0.021123 Loss_D_real: -0.017481 Loss_D_fake 0.007046
[683/5000][250/535][70297] Loss_D: -0.024857 Loss_G: 0.016415 Loss_D_real: -0.020502 Loss_D_fake 0.004355
[683/5000][255/535][70298] Loss_D: -0.024120 Loss_G: 0.003932 Loss_D_real: -0.011063 Loss_D_fake 0.013057
[683/5000][260/535][70299] Loss_D: -0.024006 Loss_G: 0.001479 Loss_D_real: -0.015069 Loss_D_fake 0.008937
[683/5000][265/535][70300] Loss_D: -0.023007 Loss_G: -0.001542 Loss_D_real: -0.014936 Loss_D_fake 0.008071
[683/5000][270/535][70301] Loss_D: -0.024571 Loss_G: 0.017219 Loss_D_real: -0.023490 Loss_D_fake 0.001081
[683/5000][275/535][70302] Loss_D: -0.024905 Loss_G: -0.008352 Loss_D_real: -0.015708 Loss_D_fake 0.009198
[683/5000][280/535][70303] Loss_D: -0.024711 Loss_G: 0.003932 Loss_D_real: -0.013768 Loss_D_fake 0.010943
[683/5000][285/535][70304] Loss_D: -0.023724 Loss_G: 0.005481 Loss_D_real: -0.013213 Loss_D_fake 0.010511
[683/5000][290/535][70305] Loss_D: -0.023508 Loss_G: -0.011506 Loss_D_real: -0.005072 Loss_D_fake 0.018435
[683/5000][295/535][70306] Loss_D: -0.023839 Loss_G: 0.037388 Loss_D_real: -0.029894 Loss_D_fake -0.006055
[683/5000][300/535][70307] Loss_D: -0.022868 Loss_G: -0.008204 Loss_D_real: 0.001232 Loss_D_fake 0.024100
[683/5000][305/535][70308] Loss_D: -0.023038 Loss_G: -0.009094 Loss_D_real: -0.017612 Loss_D_fake 0.005426
[683/5000][310/535][70309] Loss_D: -0.023323 Loss_G: 0.004675 Loss_D_real: -0.016603 Loss_D_fake 0.006720
[683/5000][315/535][70310] Loss_D: -0.024178 Loss_G: 0.014269 Loss_D_real: -0.030065 Loss_D_fake -0.005887
[683/5000][320/535][70311] Loss_D: -0.024410 Loss_G: 0.009950 Loss_D_real: -0.015891 Loss_D_fake 0.008519
[683/5000][325/535][70312] Loss_D: -0.023598 Loss_G: 0.007410 Loss_D_real: -0.017502 Loss_D_fake 0.006096
[683/5000][330/535][70313] Loss_D: -0.023857 Loss_G: 0.005550 Loss_D_real: -0.012367 Loss_D_fake 0.011491
[683/5000][335/535][70314] Loss_D: -0.024118 Loss_G: 0.016493 Loss_D_real: -0.034393 Loss_D_fake -0.010276
[683/5000][340/535][70315] Loss_D: -0.023874 Loss_G: 0.028927 Loss_D_real: -0.023989 Loss_D_fake -0.000116
[683/5000][345/535][70316] Loss_D: -0.024784 Loss_G: 0.013999 Loss_D_real: -0.027188 Loss_D_fake -0.002403
[683/5000][350/535][70317] Loss_D: -0.023794 Loss_G: 0.007692 Loss_D_real: -0.014340 Loss_D_fake 0.009454
[683/5000][355/535][70318] Loss_D: -0.023887 Loss_G: 0.022654 Loss_D_real: -0.023725 Loss_D_fake 0.000162
[683/5000][360/535][70319] Loss_D: -0.023604 Loss_G: 0.009693 Loss_D_real: -0.026111 Loss_D_fake -0.002507
[683/5000][365/535][70320] Loss_D: -0.024661 Loss_G: 0.000329 Loss_D_real: -0.012476 Loss_D_fake 0.012186
[683/5000][370/535][70321] Loss_D: -0.023651 Loss_G: 0.010438 Loss_D_real: -0.019313 Loss_D_fake 0.004339
[683/5000][375/535][70322] Loss_D: -0.024021 Loss_G: 0.017847 Loss_D_real: -0.032368 Loss_D_fake -0.008347
[683/5000][380/535][70323] Loss_D: -0.024847 Loss_G: 0.006413 Loss_D_real: -0.014803 Loss_D_fake 0.010045
[683/5000][385/535][70324] Loss_D: -0.024464 Loss_G: 0.024390 Loss_D_real: -0.032654 Loss_D_fake -0.008190
[683/5000][390/535][70325] Loss_D: -0.024774 Loss_G: 0.011211 Loss_D_real: -0.014015 Loss_D_fake 0.010759
[683/5000][395/535][70326] Loss_D: -0.023020 Loss_G: 0.028568 Loss_D_real: -0.026903 Loss_D_fake -0.003883
[683/5000][400/535][70327] Loss_D: -0.023093 Loss_G: 0.020010 Loss_D_real: -0.023647 Loss_D_fake -0.000554
[683/5000][405/535][70328] Loss_D: -0.025241 Loss_G: 0.008829 Loss_D_real: -0.030343 Loss_D_fake -0.005101
[683/5000][410/535][70329] Loss_D: -0.024840 Loss_G: 0.010242 Loss_D_real: -0.017877 Loss_D_fake 0.006963
[683/5000][415/535][70330] Loss_D: -0.022791 Loss_G: 0.000896 Loss_D_real: 0.000803 Loss_D_fake 0.023594
[683/5000][420/535][70331] Loss_D: -0.024000 Loss_G: 0.023911 Loss_D_real: -0.022948 Loss_D_fake 0.001052
[683/5000][425/535][70332] Loss_D: -0.024744 Loss_G: 0.004732 Loss_D_real: -0.013209 Loss_D_fake 0.011535
[683/5000][430/535][70333] Loss_D: -0.023921 Loss_G: 0.022816 Loss_D_real: -0.028449 Loss_D_fake -0.004528
[683/5000][435/535][70334] Loss_D: -0.025161 Loss_G: -0.000765 Loss_D_real: -0.017340 Loss_D_fake 0.007821
[683/5000][440/535][70335] Loss_D: -0.023946 Loss_G: 0.012533 Loss_D_real: -0.027904 Loss_D_fake -0.003957
[683/5000][445/535][70336] Loss_D: -0.025815 Loss_G: 0.009275 Loss_D_real: -0.009110 Loss_D_fake 0.016706
[683/5000][450/535][70337] Loss_D: -0.023983 Loss_G: 0.004655 Loss_D_real: -0.012872 Loss_D_fake 0.011111
[683/5000][455/535][70338] Loss_D: -0.022993 Loss_G: 0.004405 Loss_D_real: -0.007382 Loss_D_fake 0.015611
[683/5000][460/535][70339] Loss_D: -0.023436 Loss_G: 0.022253 Loss_D_real: -0.023453 Loss_D_fake -0.000018
[683/5000][465/535][70340] Loss_D: -0.025117 Loss_G: 0.001860 Loss_D_real: -0.016948 Loss_D_fake 0.008170
[683/5000][470/535][70341] Loss_D: -0.024677 Loss_G: -0.008975 Loss_D_real: -0.017725 Loss_D_fake 0.006952
[683/5000][475/535][70342] Loss_D: -0.022358 Loss_G: -0.012784 Loss_D_real: 0.000969 Loss_D_fake 0.023327
[683/5000][480/535][70343] Loss_D: -0.022928 Loss_G: 0.019268 Loss_D_real: -0.017948 Loss_D_fake 0.004981
[683/5000][485/535][70344] Loss_D: -0.024607 Loss_G: 0.002247 Loss_D_real: -0.005640 Loss_D_fake 0.018967
[683/5000][490/535][70345] Loss_D: -0.025677 Loss_G: 0.013806 Loss_D_real: -0.002177 Loss_D_fake 0.023500
[683/5000][495/535][70346] Loss_D: -0.025324 Loss_G: 0.019369 Loss_D_real: -0.028373 Loss_D_fake -0.003049
[683/5000][500/535][70347] Loss_D: -0.025675 Loss_G: 0.020411 Loss_D_real: -0.026288 Loss_D_fake -0.000613
[683/5000][505/535][70348] Loss_D: -0.025437 Loss_G: 0.005028 Loss_D_real: -0.014735 Loss_D_fake 0.010702
[683/5000][510/535][70349] Loss_D: -0.023936 Loss_G: 0.017810 Loss_D_real: -0.016449 Loss_D_fake 0.007487
[683/5000][515/535][70350] Loss_D: -0.024066 Loss_G: 0.019084 Loss_D_real: -0.026818 Loss_D_fake -0.002753
[683/5000][520/535][70351] Loss_D: -0.022827 Loss_G: 0.019786 Loss_D_real: -0.022233 Loss_D_fake 0.000595
[683/5000][525/535][70352] Loss_D: -0.024832 Loss_G: -0.002565 Loss_D_real: -0.009284 Loss_D_fake 0.015548
[683/5000][530/535][70353] Loss_D: -0.023552 Loss_G: -0.008680 Loss_D_real: -0.004454 Loss_D_fake 0.019098
[683/5000][535/535][70354] Loss_D: -0.023029 Loss_G: 0.008915 Loss_D_real: -0.023837 Loss_D_fake -0.000808
[684/5000][5/535][70355] Loss_D: -0.024093 Loss_G: 0.018175 Loss_D_real: -0.028592 Loss_D_fake -0.004500
[684/5000][10/535][70356] Loss_D: -0.024749 Loss_G: 0.040211 Loss_D_real: -0.027931 Loss_D_fake -0.003182
[684/5000][15/535][70357] Loss_D: -0.024741 Loss_G: 0.002474 Loss_D_real: -0.009206 Loss_D_fake 0.015534
[684/5000][20/535][70358] Loss_D: -0.024276 Loss_G: 0.016296 Loss_D_real: -0.011420 Loss_D_fake 0.012856
[684/5000][25/535][70359] Loss_D: -0.024440 Loss_G: 0.012953 Loss_D_real: -0.030431 Loss_D_fake -0.005991
[684/5000][30/535][70360] Loss_D: -0.023352 Loss_G: 0.024368 Loss_D_real: -0.037591 Loss_D_fake -0.014240
[684/5000][35/535][70361] Loss_D: -0.024562 Loss_G: 0.003413 Loss_D_real: -0.006859 Loss_D_fake 0.017704
[684/5000][40/535][70362] Loss_D: -0.022965 Loss_G: 0.014492 Loss_D_real: -0.021561 Loss_D_fake 0.001403
[684/5000][45/535][70363] Loss_D: -0.023523 Loss_G: 0.020866 Loss_D_real: -0.025928 Loss_D_fake -0.002405
[684/5000][50/535][70364] Loss_D: -0.024378 Loss_G: 0.002999 Loss_D_real: -0.015117 Loss_D_fake 0.009261
[684/5000][55/535][70365] Loss_D: -0.023637 Loss_G: 0.015257 Loss_D_real: -0.016582 Loss_D_fake 0.007055
[684/5000][60/535][70366] Loss_D: -0.023361 Loss_G: 0.010116 Loss_D_real: -0.018716 Loss_D_fake 0.004644
[684/5000][65/535][70367] Loss_D: -0.023076 Loss_G: 0.017944 Loss_D_real: -0.024744 Loss_D_fake -0.001669
[684/5000][70/535][70368] Loss_D: -0.023279 Loss_G: 0.036847 Loss_D_real: -0.027478 Loss_D_fake -0.004199
[684/5000][75/535][70369] Loss_D: -0.022946 Loss_G: 0.022601 Loss_D_real: -0.025633 Loss_D_fake -0.002688
[684/5000][80/535][70370] Loss_D: -0.024598 Loss_G: 0.001877 Loss_D_real: -0.016478 Loss_D_fake 0.008120
[684/5000][85/535][70371] Loss_D: -0.023679 Loss_G: 0.003720 Loss_D_real: -0.008457 Loss_D_fake 0.015222
[684/5000][90/535][70372] Loss_D: -0.023069 Loss_G: 0.017426 Loss_D_real: -0.032416 Loss_D_fake -0.009348
[684/5000][95/535][70373] Loss_D: -0.024533 Loss_G: 0.016571 Loss_D_real: -0.023575 Loss_D_fake 0.000958
[684/5000][100/535][70374] Loss_D: -0.023808 Loss_G: 0.016561 Loss_D_real: -0.021907 Loss_D_fake 0.001901
[684/5000][105/535][70375] Loss_D: -0.024464 Loss_G: 0.025674 Loss_D_real: -0.028661 Loss_D_fake -0.004197
[684/5000][110/535][70376] Loss_D: -0.024110 Loss_G: 0.013574 Loss_D_real: -0.035459 Loss_D_fake -0.011349
[684/5000][115/535][70377] Loss_D: -0.024599 Loss_G: 0.018490 Loss_D_real: -0.030463 Loss_D_fake -0.005864
[684/5000][120/535][70378] Loss_D: -0.023253 Loss_G: -0.010760 Loss_D_real: 0.005550 Loss_D_fake 0.028803
[684/5000][125/535][70379] Loss_D: -0.023224 Loss_G: 0.002043 Loss_D_real: -0.014104 Loss_D_fake 0.009120
[684/5000][130/535][70380] Loss_D: -0.023601 Loss_G: 0.005119 Loss_D_real: -0.006823 Loss_D_fake 0.016778
[684/5000][135/535][70381] Loss_D: -0.021864 Loss_G: -0.015137 Loss_D_real: 0.007253 Loss_D_fake 0.029117
[684/5000][140/535][70382] Loss_D: -0.023632 Loss_G: 0.019236 Loss_D_real: -0.020955 Loss_D_fake 0.002677
[684/5000][145/535][70383] Loss_D: -0.022771 Loss_G: 0.026070 Loss_D_real: -0.030019 Loss_D_fake -0.007248
[684/5000][150/535][70384] Loss_D: -0.024210 Loss_G: 0.011604 Loss_D_real: -0.017433 Loss_D_fake 0.006777
[684/5000][155/535][70385] Loss_D: -0.024475 Loss_G: 0.000729 Loss_D_real: -0.009870 Loss_D_fake 0.014605
[684/5000][160/535][70386] Loss_D: -0.023211 Loss_G: 0.013815 Loss_D_real: -0.029171 Loss_D_fake -0.005960
[684/5000][165/535][70387] Loss_D: -0.025036 Loss_G: 0.013635 Loss_D_real: -0.019103 Loss_D_fake 0.005933
[684/5000][170/535][70388] Loss_D: -0.024454 Loss_G: 0.027535 Loss_D_real: -0.033030 Loss_D_fake -0.008576
[684/5000][175/535][70389] Loss_D: -0.025114 Loss_G: 0.004006 Loss_D_real: -0.007631 Loss_D_fake 0.017482
[684/5000][180/535][70390] Loss_D: -0.024590 Loss_G: 0.015866 Loss_D_real: -0.017940 Loss_D_fake 0.006650
[684/5000][185/535][70391] Loss_D: -0.023181 Loss_G: 0.011185 Loss_D_real: -0.021862 Loss_D_fake 0.001319
[684/5000][190/535][70392] Loss_D: -0.026067 Loss_G: 0.019360 Loss_D_real: -0.016299 Loss_D_fake 0.009767
[684/5000][195/535][70393] Loss_D: -0.025211 Loss_G: -0.008561 Loss_D_real: -0.007402 Loss_D_fake 0.017809
[684/5000][200/535][70394] Loss_D: -0.024429 Loss_G: 0.016042 Loss_D_real: -0.025456 Loss_D_fake -0.001027
[684/5000][205/535][70395] Loss_D: -0.025056 Loss_G: 0.012111 Loss_D_real: -0.022625 Loss_D_fake 0.002431
[684/5000][210/535][70396] Loss_D: -0.024842 Loss_G: 0.008375 Loss_D_real: -0.009244 Loss_D_fake 0.015599
[684/5000][215/535][70397] Loss_D: -0.024270 Loss_G: 0.002034 Loss_D_real: -0.014255 Loss_D_fake 0.010016
[684/5000][220/535][70398] Loss_D: -0.023516 Loss_G: 0.013774 Loss_D_real: -0.014717 Loss_D_fake 0.008799
[684/5000][225/535][70399] Loss_D: -0.023285 Loss_G: -0.007282 Loss_D_real: -0.016404 Loss_D_fake 0.006881
[684/5000][230/535][70400] Loss_D: -0.022791 Loss_G: 0.013446 Loss_D_real: -0.014595 Loss_D_fake 0.008196
[684/5000][235/535][70401] Loss_D: -0.024234 Loss_G: 0.021196 Loss_D_real: -0.025708 Loss_D_fake -0.001475
[684/5000][240/535][70402] Loss_D: -0.024809 Loss_G: 0.009555 Loss_D_real: -0.030275 Loss_D_fake -0.005466
[684/5000][245/535][70403] Loss_D: -0.024608 Loss_G: 0.029567 Loss_D_real: -0.032151 Loss_D_fake -0.007543
[684/5000][250/535][70404] Loss_D: -0.022900 Loss_G: -0.018721 Loss_D_real: 0.001914 Loss_D_fake 0.024813
[684/5000][255/535][70405] Loss_D: -0.024124 Loss_G: 0.004085 Loss_D_real: -0.014476 Loss_D_fake 0.009648
[684/5000][260/535][70406] Loss_D: -0.025412 Loss_G: 0.014516 Loss_D_real: -0.018594 Loss_D_fake 0.006818
[684/5000][265/535][70407] Loss_D: -0.023072 Loss_G: 0.019498 Loss_D_real: -0.031776 Loss_D_fake -0.008704
[684/5000][270/535][70408] Loss_D: -0.025505 Loss_G: 0.014121 Loss_D_real: -0.004347 Loss_D_fake 0.021157
[684/5000][275/535][70409] Loss_D: -0.025262 Loss_G: 0.016353 Loss_D_real: -0.018399 Loss_D_fake 0.006862
[684/5000][280/535][70410] Loss_D: -0.024378 Loss_G: -0.007929 Loss_D_real: -0.010811 Loss_D_fake 0.013567
[684/5000][285/535][70411] Loss_D: -0.022945 Loss_G: -0.000362 Loss_D_real: -0.019454 Loss_D_fake 0.003492
[684/5000][290/535][70412] Loss_D: -0.024496 Loss_G: -0.002608 Loss_D_real: -0.005295 Loss_D_fake 0.019200
[684/5000][295/535][70413] Loss_D: -0.025514 Loss_G: 0.013034 Loss_D_real: -0.006989 Loss_D_fake 0.018526
[684/5000][300/535][70414] Loss_D: -0.024414 Loss_G: 0.001115 Loss_D_real: -0.009326 Loss_D_fake 0.015088
[684/5000][305/535][70415] Loss_D: -0.024308 Loss_G: 0.005989 Loss_D_real: -0.010378 Loss_D_fake 0.013931
[684/5000][310/535][70416] Loss_D: -0.023282 Loss_G: 0.025524 Loss_D_real: -0.035099 Loss_D_fake -0.011817
[684/5000][315/535][70417] Loss_D: -0.024934 Loss_G: 0.020032 Loss_D_real: -0.019651 Loss_D_fake 0.005284
[684/5000][320/535][70418] Loss_D: -0.026167 Loss_G: -0.001041 Loss_D_real: -0.006725 Loss_D_fake 0.019441
[684/5000][325/535][70419] Loss_D: -0.024314 Loss_G: 0.015422 Loss_D_real: -0.022159 Loss_D_fake 0.002156
[684/5000][330/535][70420] Loss_D: -0.023345 Loss_G: 0.012172 Loss_D_real: -0.019704 Loss_D_fake 0.003642
[684/5000][335/535][70421] Loss_D: -0.024678 Loss_G: 0.003432 Loss_D_real: -0.013412 Loss_D_fake 0.011265
[684/5000][340/535][70422] Loss_D: -0.025985 Loss_G: 0.010903 Loss_D_real: -0.009570 Loss_D_fake 0.016414
[684/5000][345/535][70423] Loss_D: -0.025527 Loss_G: 0.029053 Loss_D_real: -0.029633 Loss_D_fake -0.004107
[684/5000][350/535][70424] Loss_D: -0.024286 Loss_G: 0.030659 Loss_D_real: -0.040569 Loss_D_fake -0.016282
[684/5000][355/535][70425] Loss_D: -0.025982 Loss_G: 0.016800 Loss_D_real: -0.020335 Loss_D_fake 0.005647
[684/5000][360/535][70426] Loss_D: -0.024572 Loss_G: 0.002588 Loss_D_real: -0.014706 Loss_D_fake 0.009866
[684/5000][365/535][70427] Loss_D: -0.024720 Loss_G: 0.008455 Loss_D_real: -0.024821 Loss_D_fake -0.000101
[684/5000][370/535][70428] Loss_D: -0.024787 Loss_G: 0.005502 Loss_D_real: -0.013125 Loss_D_fake 0.011662
[684/5000][375/535][70429] Loss_D: -0.024878 Loss_G: -0.000072 Loss_D_real: 0.000132 Loss_D_fake 0.025010
[684/5000][380/535][70430] Loss_D: -0.024909 Loss_G: -0.006177 Loss_D_real: -0.007397 Loss_D_fake 0.017512
[684/5000][385/535][70431] Loss_D: -0.023812 Loss_G: -0.004223 Loss_D_real: -0.005066 Loss_D_fake 0.018746
[684/5000][390/535][70432] Loss_D: -0.023840 Loss_G: -0.006644 Loss_D_real: -0.007116 Loss_D_fake 0.016724
[684/5000][395/535][70433] Loss_D: -0.024233 Loss_G: 0.023664 Loss_D_real: -0.024701 Loss_D_fake -0.000468
[684/5000][400/535][70434] Loss_D: -0.024485 Loss_G: 0.005983 Loss_D_real: -0.015993 Loss_D_fake 0.008493
[684/5000][405/535][70435] Loss_D: -0.024293 Loss_G: 0.020781 Loss_D_real: -0.022112 Loss_D_fake 0.002180
[684/5000][410/535][70436] Loss_D: -0.024824 Loss_G: 0.014285 Loss_D_real: -0.022768 Loss_D_fake 0.002056
[684/5000][415/535][70437] Loss_D: -0.022818 Loss_G: 0.018462 Loss_D_real: -0.029095 Loss_D_fake -0.006277
[684/5000][420/535][70438] Loss_D: -0.023441 Loss_G: -0.002115 Loss_D_real: -0.005954 Loss_D_fake 0.017487
[684/5000][425/535][70439] Loss_D: -0.024323 Loss_G: 0.015265 Loss_D_real: -0.016380 Loss_D_fake 0.007943
[684/5000][430/535][70440] Loss_D: -0.024052 Loss_G: 0.004333 Loss_D_real: -0.016971 Loss_D_fake 0.007081
[684/5000][435/535][70441] Loss_D: -0.024079 Loss_G: 0.017360 Loss_D_real: -0.027293 Loss_D_fake -0.003214
[684/5000][440/535][70442] Loss_D: -0.024466 Loss_G: -0.003923 Loss_D_real: -0.010639 Loss_D_fake 0.013827
[684/5000][445/535][70443] Loss_D: -0.024148 Loss_G: 0.017767 Loss_D_real: -0.017245 Loss_D_fake 0.006903
[684/5000][450/535][70444] Loss_D: -0.023697 Loss_G: 0.030110 Loss_D_real: -0.031620 Loss_D_fake -0.007923
[684/5000][455/535][70445] Loss_D: -0.023666 Loss_G: 0.010778 Loss_D_real: -0.007669 Loss_D_fake 0.015998
[684/5000][460/535][70446] Loss_D: -0.023733 Loss_G: 0.016301 Loss_D_real: -0.026807 Loss_D_fake -0.003074
[684/5000][465/535][70447] Loss_D: -0.025974 Loss_G: 0.009953 Loss_D_real: -0.023115 Loss_D_fake 0.002859
[684/5000][470/535][70448] Loss_D: -0.022905 Loss_G: 0.037173 Loss_D_real: -0.032343 Loss_D_fake -0.009438
[684/5000][475/535][70449] Loss_D: -0.025289 Loss_G: 0.003946 Loss_D_real: -0.024703 Loss_D_fake 0.000586
[684/5000][480/535][70450] Loss_D: -0.025057 Loss_G: 0.014111 Loss_D_real: -0.024048 Loss_D_fake 0.001008
[684/5000][485/535][70451] Loss_D: -0.025532 Loss_G: 0.003136 Loss_D_real: -0.016485 Loss_D_fake 0.009048
[684/5000][490/535][70452] Loss_D: -0.025277 Loss_G: 0.016358 Loss_D_real: -0.016995 Loss_D_fake 0.008282
[684/5000][495/535][70453] Loss_D: -0.023536 Loss_G: 0.008272 Loss_D_real: -0.015295 Loss_D_fake 0.008242
[684/5000][500/535][70454] Loss_D: -0.024923 Loss_G: 0.009715 Loss_D_real: -0.021204 Loss_D_fake 0.003719
[684/5000][505/535][70455] Loss_D: -0.023755 Loss_G: 0.019743 Loss_D_real: -0.028518 Loss_D_fake -0.004763
[684/5000][510/535][70456] Loss_D: -0.025075 Loss_G: 0.017560 Loss_D_real: -0.022643 Loss_D_fake 0.002432
[684/5000][515/535][70457] Loss_D: -0.024443 Loss_G: 0.010447 Loss_D_real: -0.020268 Loss_D_fake 0.004174
[684/5000][520/535][70458] Loss_D: -0.023969 Loss_G: 0.022781 Loss_D_real: -0.024674 Loss_D_fake -0.000705
[684/5000][525/535][70459] Loss_D: -0.023518 Loss_G: 0.006107 Loss_D_real: -0.013685 Loss_D_fake 0.009833
[684/5000][530/535][70460] Loss_D: -0.023770 Loss_G: -0.000643 Loss_D_real: -0.008985 Loss_D_fake 0.014785
[684/5000][535/535][70461] Loss_D: -0.020815 Loss_G: 0.002915 Loss_D_real: -0.024163 Loss_D_fake -0.003348
[685/5000][5/535][70462] Loss_D: -0.025890 Loss_G: 0.023352 Loss_D_real: -0.013950 Loss_D_fake 0.011940
[685/5000][10/535][70463] Loss_D: -0.023200 Loss_G: -0.005394 Loss_D_real: -0.008427 Loss_D_fake 0.014773
[685/5000][15/535][70464] Loss_D: -0.023245 Loss_G: 0.019944 Loss_D_real: -0.022962 Loss_D_fake 0.000283
[685/5000][20/535][70465] Loss_D: -0.024406 Loss_G: 0.008953 Loss_D_real: -0.016835 Loss_D_fake 0.007572
[685/5000][25/535][70466] Loss_D: -0.023307 Loss_G: 0.026025 Loss_D_real: -0.033672 Loss_D_fake -0.010365
[685/5000][30/535][70467] Loss_D: -0.024188 Loss_G: -0.002820 Loss_D_real: -0.006586 Loss_D_fake 0.017602
[685/5000][35/535][70468] Loss_D: -0.022509 Loss_G: 0.034094 Loss_D_real: -0.039268 Loss_D_fake -0.016760
[685/5000][40/535][70469] Loss_D: -0.024343 Loss_G: -0.013889 Loss_D_real: -0.003731 Loss_D_fake 0.020613
[685/5000][45/535][70470] Loss_D: -0.023753 Loss_G: 0.027549 Loss_D_real: -0.023605 Loss_D_fake 0.000148
[685/5000][50/535][70471] Loss_D: -0.026024 Loss_G: 0.020879 Loss_D_real: -0.026159 Loss_D_fake -0.000135
[685/5000][55/535][70472] Loss_D: -0.024999 Loss_G: 0.006775 Loss_D_real: -0.017359 Loss_D_fake 0.007641
[685/5000][60/535][70473] Loss_D: -0.023917 Loss_G: 0.016761 Loss_D_real: -0.028863 Loss_D_fake -0.004946
[685/5000][65/535][70474] Loss_D: -0.024703 Loss_G: 0.014274 Loss_D_real: -0.015115 Loss_D_fake 0.009588
[685/5000][70/535][70475] Loss_D: -0.025137 Loss_G: 0.000522 Loss_D_real: -0.012145 Loss_D_fake 0.012992
[685/5000][75/535][70476] Loss_D: -0.025353 Loss_G: -0.005127 Loss_D_real: -0.018826 Loss_D_fake 0.006527
[685/5000][80/535][70477] Loss_D: -0.022895 Loss_G: 0.001743 Loss_D_real: -0.009137 Loss_D_fake 0.013758
[685/5000][85/535][70478] Loss_D: -0.023364 Loss_G: 0.011311 Loss_D_real: -0.018249 Loss_D_fake 0.005115
[685/5000][90/535][70479] Loss_D: -0.024440 Loss_G: 0.014298 Loss_D_real: -0.017735 Loss_D_fake 0.006705
[685/5000][95/535][70480] Loss_D: -0.024349 Loss_G: -0.009986 Loss_D_real: -0.007471 Loss_D_fake 0.016879
[685/5000][100/535][70481] Loss_D: -0.024815 Loss_G: 0.014810 Loss_D_real: -0.027781 Loss_D_fake -0.002965
[685/5000][105/535][70482] Loss_D: -0.023716 Loss_G: 0.032019 Loss_D_real: -0.031540 Loss_D_fake -0.007823
[685/5000][110/535][70483] Loss_D: -0.023730 Loss_G: 0.009659 Loss_D_real: -0.019577 Loss_D_fake 0.004153
[685/5000][115/535][70484] Loss_D: -0.025340 Loss_G: 0.002360 Loss_D_real: -0.016087 Loss_D_fake 0.009253
[685/5000][120/535][70485] Loss_D: -0.025557 Loss_G: 0.005370 Loss_D_real: -0.015579 Loss_D_fake 0.009978
[685/5000][125/535][70486] Loss_D: -0.023709 Loss_G: 0.029866 Loss_D_real: -0.026192 Loss_D_fake -0.002484
[685/5000][130/535][70487] Loss_D: -0.023579 Loss_G: 0.005706 Loss_D_real: -0.013068 Loss_D_fake 0.010511
[685/5000][135/535][70488] Loss_D: -0.024954 Loss_G: 0.015492 Loss_D_real: -0.015335 Loss_D_fake 0.009619
[685/5000][140/535][70489] Loss_D: -0.024854 Loss_G: 0.013601 Loss_D_real: -0.016669 Loss_D_fake 0.008185
[685/5000][145/535][70490] Loss_D: -0.023985 Loss_G: 0.005954 Loss_D_real: -0.011657 Loss_D_fake 0.012329
[685/5000][150/535][70491] Loss_D: -0.023940 Loss_G: 0.020178 Loss_D_real: -0.029936 Loss_D_fake -0.005996
[685/5000][155/535][70492] Loss_D: -0.025305 Loss_G: -0.004895 Loss_D_real: -0.011587 Loss_D_fake 0.013718
[685/5000][160/535][70493] Loss_D: -0.023693 Loss_G: 0.013147 Loss_D_real: -0.014365 Loss_D_fake 0.009329
[685/5000][165/535][70494] Loss_D: -0.024526 Loss_G: 0.007478 Loss_D_real: -0.014348 Loss_D_fake 0.010178
[685/5000][170/535][70495] Loss_D: -0.024984 Loss_G: 0.022265 Loss_D_real: -0.018227 Loss_D_fake 0.006757
[685/5000][175/535][70496] Loss_D: -0.024859 Loss_G: 0.018572 Loss_D_real: -0.019089 Loss_D_fake 0.005770
[685/5000][180/535][70497] Loss_D: -0.024359 Loss_G: 0.004834 Loss_D_real: -0.017282 Loss_D_fake 0.007077
[685/5000][185/535][70498] Loss_D: -0.025487 Loss_G: -0.003628 Loss_D_real: -0.002782 Loss_D_fake 0.022705
[685/5000][190/535][70499] Loss_D: -0.023742 Loss_G: 0.023086 Loss_D_real: -0.027885 Loss_D_fake -0.004143
[685/5000][195/535][70500] Loss_D: -0.023186 Loss_G: -0.007574 Loss_D_real: -0.009421 Loss_D_fake 0.013764
[685/5000][295/535][70501] Loss_D: -0.028332 Loss_G: 0.007113 Loss_D_real: -0.010347 Loss_D_fake 0.017984
[685/5000][300/535][70502] Loss_D: -0.024434 Loss_G: 0.032109 Loss_D_real: -0.015605 Loss_D_fake 0.008829
[685/5000][305/535][70503] Loss_D: -0.023792 Loss_G: 0.007644 Loss_D_real: -0.015346 Loss_D_fake 0.008446
[685/5000][310/535][70504] Loss_D: -0.022173 Loss_G: -0.010426 Loss_D_real: -0.007428 Loss_D_fake 0.014744
[685/5000][315/535][70505] Loss_D: -0.022479 Loss_G: 0.009224 Loss_D_real: -0.019546 Loss_D_fake 0.002933
[685/5000][320/535][70506] Loss_D: -0.023384 Loss_G: 0.001407 Loss_D_real: -0.016880 Loss_D_fake 0.006503
[685/5000][325/535][70507] Loss_D: -0.024547 Loss_G: 0.019266 Loss_D_real: -0.021312 Loss_D_fake 0.003235
[685/5000][330/535][70508] Loss_D: -0.022980 Loss_G: -0.009446 Loss_D_real: -0.010136 Loss_D_fake 0.012844
[685/5000][335/535][70509] Loss_D: -0.022525 Loss_G: 0.011612 Loss_D_real: -0.026088 Loss_D_fake -0.003563
[685/5000][340/535][70510] Loss_D: -0.024266 Loss_G: 0.015432 Loss_D_real: -0.015839 Loss_D_fake 0.008427
[685/5000][345/535][70511] Loss_D: -0.023220 Loss_G: 0.024136 Loss_D_real: -0.026623 Loss_D_fake -0.003402
[685/5000][350/535][70512] Loss_D: -0.023258 Loss_G: 0.007691 Loss_D_real: -0.009325 Loss_D_fake 0.013933
[685/5000][355/535][70513] Loss_D: -0.023908 Loss_G: 0.001839 Loss_D_real: -0.004019 Loss_D_fake 0.019889
[685/5000][360/535][70514] Loss_D: -0.024291 Loss_G: 0.001408 Loss_D_real: -0.028034 Loss_D_fake -0.003743
[685/5000][365/535][70515] Loss_D: -0.022734 Loss_G: -0.004367 Loss_D_real: -0.003931 Loss_D_fake 0.018803
[685/5000][370/535][70516] Loss_D: -0.023497 Loss_G: 0.015533 Loss_D_real: -0.024354 Loss_D_fake -0.000857
[685/5000][375/535][70517] Loss_D: -0.024067 Loss_G: -0.002843 Loss_D_real: -0.013705 Loss_D_fake 0.010362
[685/5000][380/535][70518] Loss_D: -0.023411 Loss_G: 0.019669 Loss_D_real: -0.021687 Loss_D_fake 0.001724
[685/5000][385/535][70519] Loss_D: -0.023725 Loss_G: -0.001038 Loss_D_real: -0.011655 Loss_D_fake 0.012070
[685/5000][390/535][70520] Loss_D: -0.023154 Loss_G: 0.014626 Loss_D_real: -0.006519 Loss_D_fake 0.016635
[685/5000][395/535][70521] Loss_D: -0.022375 Loss_G: 0.018346 Loss_D_real: -0.021676 Loss_D_fake 0.000699
[685/5000][400/535][70522] Loss_D: -0.022587 Loss_G: -0.001311 Loss_D_real: -0.011512 Loss_D_fake 0.011075
[685/5000][405/535][70523] Loss_D: -0.022612 Loss_G: 0.023622 Loss_D_real: -0.017519 Loss_D_fake 0.005093
[685/5000][410/535][70524] Loss_D: -0.024642 Loss_G: 0.006208 Loss_D_real: -0.008505 Loss_D_fake 0.016136
[685/5000][415/535][70525] Loss_D: -0.023647 Loss_G: 0.024064 Loss_D_real: -0.029405 Loss_D_fake -0.005758
[685/5000][420/535][70526] Loss_D: -0.022628 Loss_G: 0.007660 Loss_D_real: -0.025633 Loss_D_fake -0.003005
[685/5000][425/535][70527] Loss_D: -0.024095 Loss_G: 0.010141 Loss_D_real: -0.015645 Loss_D_fake 0.008450
[685/5000][430/535][70528] Loss_D: -0.023516 Loss_G: 0.008530 Loss_D_real: -0.019815 Loss_D_fake 0.003701
[685/5000][435/535][70529] Loss_D: -0.024454 Loss_G: 0.019971 Loss_D_real: -0.027160 Loss_D_fake -0.002706
[685/5000][440/535][70530] Loss_D: -0.024177 Loss_G: 0.008435 Loss_D_real: -0.014320 Loss_D_fake 0.009857
[685/5000][445/535][70531] Loss_D: -0.023372 Loss_G: 0.030187 Loss_D_real: -0.025417 Loss_D_fake -0.002045
[685/5000][450/535][70532] Loss_D: -0.022680 Loss_G: -0.001314 Loss_D_real: -0.011048 Loss_D_fake 0.011632
[685/5000][455/535][70533] Loss_D: -0.025120 Loss_G: 0.008423 Loss_D_real: -0.021552 Loss_D_fake 0.003568
[685/5000][460/535][70534] Loss_D: -0.024393 Loss_G: -0.003284 Loss_D_real: -0.011575 Loss_D_fake 0.012819
[685/5000][465/535][70535] Loss_D: -0.024936 Loss_G: -0.008111 Loss_D_real: -0.013743 Loss_D_fake 0.011193
[685/5000][470/535][70536] Loss_D: -0.023962 Loss_G: 0.024597 Loss_D_real: -0.022955 Loss_D_fake 0.001008
[685/5000][475/535][70537] Loss_D: -0.025397 Loss_G: 0.015725 Loss_D_real: -0.015389 Loss_D_fake 0.010009
[685/5000][480/535][70538] Loss_D: -0.023978 Loss_G: -0.015393 Loss_D_real: -0.004516 Loss_D_fake 0.019462
[685/5000][485/535][70539] Loss_D: -0.024696 Loss_G: 0.009646 Loss_D_real: -0.017618 Loss_D_fake 0.007079
[685/5000][490/535][70540] Loss_D: -0.023265 Loss_G: -0.000243 Loss_D_real: -0.004543 Loss_D_fake 0.018722
[685/5000][495/535][70541] Loss_D: -0.023196 Loss_G: 0.015323 Loss_D_real: -0.021471 Loss_D_fake 0.001725
[685/5000][500/535][70542] Loss_D: -0.024086 Loss_G: 0.023833 Loss_D_real: -0.020281 Loss_D_fake 0.003804
[685/5000][505/535][70543] Loss_D: -0.024013 Loss_G: 0.027884 Loss_D_real: -0.034078 Loss_D_fake -0.010065
[685/5000][510/535][70544] Loss_D: -0.024046 Loss_G: -0.002036 Loss_D_real: -0.008761 Loss_D_fake 0.015285
[685/5000][515/535][70545] Loss_D: -0.024019 Loss_G: 0.028495 Loss_D_real: -0.029659 Loss_D_fake -0.005640
[685/5000][520/535][70546] Loss_D: -0.023589 Loss_G: -0.003021 Loss_D_real: -0.004018 Loss_D_fake 0.019571
[685/5000][525/535][70547] Loss_D: -0.022987 Loss_G: -0.000930 Loss_D_real: -0.009761 Loss_D_fake 0.013226
[685/5000][530/535][70548] Loss_D: -0.024568 Loss_G: 0.008803 Loss_D_real: -0.011539 Loss_D_fake 0.013029
[685/5000][535/535][70549] Loss_D: -0.022784 Loss_G: 0.005213 Loss_D_real: -0.025084 Loss_D_fake -0.002300
[686/5000][5/535][70550] Loss_D: -0.024934 Loss_G: 0.016095 Loss_D_real: -0.029364 Loss_D_fake -0.004430
[686/5000][10/535][70551] Loss_D: -0.024437 Loss_G: 0.012152 Loss_D_real: -0.014146 Loss_D_fake 0.010292
[686/5000][15/535][70552] Loss_D: -0.023116 Loss_G: 0.015647 Loss_D_real: -0.017754 Loss_D_fake 0.005361
[686/5000][20/535][70553] Loss_D: -0.024069 Loss_G: 0.024728 Loss_D_real: -0.037459 Loss_D_fake -0.013390
[686/5000][25/535][70554] Loss_D: -0.023738 Loss_G: 0.027917 Loss_D_real: -0.031965 Loss_D_fake -0.008227
[686/5000][30/535][70555] Loss_D: -0.024797 Loss_G: 0.002154 Loss_D_real: -0.016085 Loss_D_fake 0.008711
[686/5000][35/535][70556] Loss_D: -0.024398 Loss_G: -0.005761 Loss_D_real: -0.013251 Loss_D_fake 0.011148
[686/5000][40/535][70557] Loss_D: -0.025222 Loss_G: -0.000638 Loss_D_real: -0.012815 Loss_D_fake 0.012406
[686/5000][45/535][70558] Loss_D: -0.024727 Loss_G: 0.014525 Loss_D_real: -0.011277 Loss_D_fake 0.013450
[686/5000][50/535][70559] Loss_D: -0.024763 Loss_G: 0.020414 Loss_D_real: -0.020538 Loss_D_fake 0.004225
[686/5000][55/535][70560] Loss_D: -0.024929 Loss_G: 0.019715 Loss_D_real: -0.012996 Loss_D_fake 0.011933
[686/5000][60/535][70561] Loss_D: -0.023471 Loss_G: -0.018813 Loss_D_real: -0.003129 Loss_D_fake 0.020342
[686/5000][65/535][70562] Loss_D: -0.023684 Loss_G: 0.021366 Loss_D_real: -0.023732 Loss_D_fake -0.000048
[686/5000][70/535][70563] Loss_D: -0.025536 Loss_G: 0.026033 Loss_D_real: -0.026814 Loss_D_fake -0.001279
[686/5000][75/535][70564] Loss_D: -0.024108 Loss_G: -0.009946 Loss_D_real: 0.002747 Loss_D_fake 0.026855
[686/5000][80/535][70565] Loss_D: -0.024133 Loss_G: 0.019308 Loss_D_real: -0.024663 Loss_D_fake -0.000530
[686/5000][85/535][70566] Loss_D: -0.024218 Loss_G: 0.023808 Loss_D_real: -0.022508 Loss_D_fake 0.001710
[686/5000][90/535][70567] Loss_D: -0.025093 Loss_G: 0.014934 Loss_D_real: -0.029966 Loss_D_fake -0.004872
[686/5000][95/535][70568] Loss_D: -0.024986 Loss_G: 0.013540 Loss_D_real: -0.009738 Loss_D_fake 0.015248
[686/5000][100/535][70569] Loss_D: -0.023237 Loss_G: 0.020958 Loss_D_real: -0.028627 Loss_D_fake -0.005390
[686/5000][105/535][70570] Loss_D: -0.021802 Loss_G: 0.039572 Loss_D_real: -0.035991 Loss_D_fake -0.014188
[686/5000][110/535][70571] Loss_D: -0.024662 Loss_G: 0.014094 Loss_D_real: -0.015319 Loss_D_fake 0.009343
[686/5000][115/535][70572] Loss_D: -0.023223 Loss_G: 0.012431 Loss_D_real: -0.020820 Loss_D_fake 0.002403
[686/5000][120/535][70573] Loss_D: -0.024025 Loss_G: 0.010908 Loss_D_real: -0.020934 Loss_D_fake 0.003091
[686/5000][125/535][70574] Loss_D: -0.022935 Loss_G: 0.012881 Loss_D_real: -0.025618 Loss_D_fake -0.002683
[686/5000][130/535][70575] Loss_D: -0.021933 Loss_G: 0.022271 Loss_D_real: -0.023923 Loss_D_fake -0.001990
[686/5000][135/535][70576] Loss_D: -0.023558 Loss_G: -0.003408 Loss_D_real: -0.007320 Loss_D_fake 0.016238
[686/5000][140/535][70577] Loss_D: -0.023587 Loss_G: 0.025158 Loss_D_real: -0.027168 Loss_D_fake -0.003581
[686/5000][145/535][70578] Loss_D: -0.024718 Loss_G: 0.009501 Loss_D_real: -0.015728 Loss_D_fake 0.008991
[686/5000][150/535][70579] Loss_D: -0.024503 Loss_G: 0.002949 Loss_D_real: -0.009669 Loss_D_fake 0.014833
[686/5000][155/535][70580] Loss_D: -0.022796 Loss_G: -0.011468 Loss_D_real: -0.005418 Loss_D_fake 0.017378
[686/5000][160/535][70581] Loss_D: -0.024385 Loss_G: 0.006544 Loss_D_real: -0.010791 Loss_D_fake 0.013593
[686/5000][165/535][70582] Loss_D: -0.024939 Loss_G: 0.010322 Loss_D_real: -0.016674 Loss_D_fake 0.008265
[686/5000][170/535][70583] Loss_D: -0.023508 Loss_G: 0.020747 Loss_D_real: -0.021682 Loss_D_fake 0.001826
[686/5000][175/535][70584] Loss_D: -0.024482 Loss_G: 0.007998 Loss_D_real: -0.009287 Loss_D_fake 0.015194
[686/5000][180/535][70585] Loss_D: -0.024004 Loss_G: 0.020181 Loss_D_real: -0.029512 Loss_D_fake -0.005508
[686/5000][185/535][70586] Loss_D: -0.024504 Loss_G: 0.019588 Loss_D_real: -0.021968 Loss_D_fake 0.002536
[686/5000][190/535][70587] Loss_D: -0.023531 Loss_G: 0.024439 Loss_D_real: -0.031704 Loss_D_fake -0.008173
[686/5000][195/535][70588] Loss_D: -0.022607 Loss_G: 0.024453 Loss_D_real: -0.040853 Loss_D_fake -0.018245
[686/5000][200/535][70589] Loss_D: -0.024278 Loss_G: 0.013078 Loss_D_real: -0.017778 Loss_D_fake 0.006500
[686/5000][205/535][70590] Loss_D: -0.023835 Loss_G: 0.017886 Loss_D_real: -0.022122 Loss_D_fake 0.001713
[686/5000][210/535][70591] Loss_D: -0.023836 Loss_G: 0.018903 Loss_D_real: -0.025416 Loss_D_fake -0.001580
[686/5000][215/535][70592] Loss_D: -0.024245 Loss_G: 0.006690 Loss_D_real: -0.010219 Loss_D_fake 0.014026
[686/5000][220/535][70593] Loss_D: -0.024845 Loss_G: 0.014074 Loss_D_real: -0.020588 Loss_D_fake 0.004257
[686/5000][225/535][70594] Loss_D: -0.023746 Loss_G: 0.023074 Loss_D_real: -0.022895 Loss_D_fake 0.000851
[686/5000][230/535][70595] Loss_D: -0.023708 Loss_G: -0.002055 Loss_D_real: -0.010803 Loss_D_fake 0.012906
[686/5000][235/535][70596] Loss_D: -0.024645 Loss_G: -0.001533 Loss_D_real: -0.011209 Loss_D_fake 0.013436
[686/5000][240/535][70597] Loss_D: -0.023971 Loss_G: 0.002335 Loss_D_real: -0.010531 Loss_D_fake 0.013439
[686/5000][245/535][70598] Loss_D: -0.023960 Loss_G: 0.003902 Loss_D_real: -0.009470 Loss_D_fake 0.014491
[686/5000][250/535][70599] Loss_D: -0.023247 Loss_G: 0.015548 Loss_D_real: -0.017941 Loss_D_fake 0.005306
[686/5000][255/535][70600] Loss_D: -0.023186 Loss_G: 0.019692 Loss_D_real: -0.023061 Loss_D_fake 0.000124
[686/5000][260/535][70601] Loss_D: -0.022705 Loss_G: 0.008661 Loss_D_real: -0.010094 Loss_D_fake 0.012611
[686/5000][265/535][70602] Loss_D: -0.022578 Loss_G: -0.007260 Loss_D_real: -0.002135 Loss_D_fake 0.020444
[686/5000][270/535][70603] Loss_D: -0.022805 Loss_G: 0.014855 Loss_D_real: -0.020026 Loss_D_fake 0.002780
[686/5000][275/535][70604] Loss_D: -0.023412 Loss_G: 0.008956 Loss_D_real: -0.025083 Loss_D_fake -0.001671
[686/5000][280/535][70605] Loss_D: -0.023707 Loss_G: 0.001995 Loss_D_real: -0.010423 Loss_D_fake 0.013284
[686/5000][285/535][70606] Loss_D: -0.022567 Loss_G: -0.010293 Loss_D_real: 0.001535 Loss_D_fake 0.024102
[686/5000][290/535][70607] Loss_D: -0.024189 Loss_G: 0.009160 Loss_D_real: -0.012210 Loss_D_fake 0.011979
[686/5000][295/535][70608] Loss_D: -0.023782 Loss_G: 0.029722 Loss_D_real: -0.030647 Loss_D_fake -0.006866
[686/5000][300/535][70609] Loss_D: -0.023958 Loss_G: -0.004571 Loss_D_real: -0.007041 Loss_D_fake 0.016917
[686/5000][305/535][70610] Loss_D: -0.023209 Loss_G: 0.019359 Loss_D_real: -0.034006 Loss_D_fake -0.010796
[686/5000][310/535][70611] Loss_D: -0.024704 Loss_G: 0.025284 Loss_D_real: -0.022664 Loss_D_fake 0.002040
[686/5000][315/535][70612] Loss_D: -0.025591 Loss_G: 0.004790 Loss_D_real: -0.008760 Loss_D_fake 0.016831
[686/5000][320/535][70613] Loss_D: -0.024645 Loss_G: 0.004717 Loss_D_real: -0.003196 Loss_D_fake 0.021449
[686/5000][325/535][70614] Loss_D: -0.024264 Loss_G: 0.015657 Loss_D_real: -0.019081 Loss_D_fake 0.005183
[686/5000][330/535][70615] Loss_D: -0.025333 Loss_G: -0.001028 Loss_D_real: -0.013893 Loss_D_fake 0.011440
[686/5000][335/535][70616] Loss_D: -0.023894 Loss_G: 0.008380 Loss_D_real: -0.011953 Loss_D_fake 0.011941
[686/5000][340/535][70617] Loss_D: -0.024076 Loss_G: 0.016491 Loss_D_real: -0.022328 Loss_D_fake 0.001749
[686/5000][345/535][70618] Loss_D: -0.025181 Loss_G: 0.000351 Loss_D_real: -0.013604 Loss_D_fake 0.011577
[686/5000][350/535][70619] Loss_D: -0.022639 Loss_G: 0.027540 Loss_D_real: -0.027400 Loss_D_fake -0.004761
[686/5000][355/535][70620] Loss_D: -0.023835 Loss_G: 0.028537 Loss_D_real: -0.034991 Loss_D_fake -0.011156
[686/5000][360/535][70621] Loss_D: -0.023552 Loss_G: 0.001726 Loss_D_real: -0.013196 Loss_D_fake 0.010356
[686/5000][365/535][70622] Loss_D: -0.024632 Loss_G: 0.012472 Loss_D_real: -0.017193 Loss_D_fake 0.007439
[686/5000][370/535][70623] Loss_D: -0.024973 Loss_G: 0.018128 Loss_D_real: -0.017749 Loss_D_fake 0.007223
[686/5000][375/535][70624] Loss_D: -0.024223 Loss_G: 0.012319 Loss_D_real: -0.020005 Loss_D_fake 0.004218
[686/5000][380/535][70625] Loss_D: -0.023675 Loss_G: -0.008011 Loss_D_real: 0.002575 Loss_D_fake 0.026250
[686/5000][385/535][70626] Loss_D: -0.022984 Loss_G: 0.018373 Loss_D_real: -0.023165 Loss_D_fake -0.000181
[686/5000][390/535][70627] Loss_D: -0.024019 Loss_G: 0.014141 Loss_D_real: -0.017903 Loss_D_fake 0.006116
[686/5000][395/535][70628] Loss_D: -0.022683 Loss_G: 0.013295 Loss_D_real: -0.022425 Loss_D_fake 0.000258
[686/5000][400/535][70629] Loss_D: -0.021794 Loss_G: -0.018332 Loss_D_real: -0.000533 Loss_D_fake 0.021261
[686/5000][405/535][70630] Loss_D: -0.023607 Loss_G: 0.024461 Loss_D_real: -0.029622 Loss_D_fake -0.006015
[686/5000][410/535][70631] Loss_D: -0.023695 Loss_G: 0.017426 Loss_D_real: -0.019788 Loss_D_fake 0.003907
[686/5000][415/535][70632] Loss_D: -0.024017 Loss_G: 0.009566 Loss_D_real: -0.013116 Loss_D_fake 0.010901
[686/5000][420/535][70633] Loss_D: -0.023523 Loss_G: 0.018205 Loss_D_real: -0.019626 Loss_D_fake 0.003897
[686/5000][425/535][70634] Loss_D: -0.024949 Loss_G: -0.002044 Loss_D_real: -0.011031 Loss_D_fake 0.013918
[686/5000][430/535][70635] Loss_D: -0.024341 Loss_G: 0.014066 Loss_D_real: -0.015562 Loss_D_fake 0.008778
[686/5000][435/535][70636] Loss_D: -0.026695 Loss_G: 0.022583 Loss_D_real: -0.026223 Loss_D_fake 0.000471
[686/5000][440/535][70637] Loss_D: -0.024530 Loss_G: 0.030506 Loss_D_real: -0.033439 Loss_D_fake -0.008909
[686/5000][445/535][70638] Loss_D: -0.024476 Loss_G: 0.005017 Loss_D_real: -0.022027 Loss_D_fake 0.002449
[686/5000][450/535][70639] Loss_D: -0.024727 Loss_G: 0.020247 Loss_D_real: -0.021338 Loss_D_fake 0.003389
[686/5000][455/535][70640] Loss_D: -0.024467 Loss_G: -0.000612 Loss_D_real: -0.008218 Loss_D_fake 0.016248
[686/5000][460/535][70641] Loss_D: -0.023732 Loss_G: 0.003553 Loss_D_real: -0.014243 Loss_D_fake 0.009489
[686/5000][465/535][70642] Loss_D: -0.024199 Loss_G: 0.009144 Loss_D_real: -0.021510 Loss_D_fake 0.002688
[686/5000][470/535][70643] Loss_D: -0.023561 Loss_G: 0.027807 Loss_D_real: -0.026479 Loss_D_fake -0.002918
[686/5000][475/535][70644] Loss_D: -0.024538 Loss_G: -0.006902 Loss_D_real: -0.010566 Loss_D_fake 0.013971
[686/5000][480/535][70645] Loss_D: -0.023709 Loss_G: -0.003410 Loss_D_real: -0.006290 Loss_D_fake 0.017418
[686/5000][485/535][70646] Loss_D: -0.024948 Loss_G: 0.019646 Loss_D_real: -0.026677 Loss_D_fake -0.001729
[686/5000][490/535][70647] Loss_D: -0.023884 Loss_G: 0.021826 Loss_D_real: -0.038834 Loss_D_fake -0.014950
[686/5000][495/535][70648] Loss_D: -0.023991 Loss_G: 0.003502 Loss_D_real: -0.014964 Loss_D_fake 0.009027
[686/5000][500/535][70649] Loss_D: -0.024021 Loss_G: 0.008524 Loss_D_real: -0.021512 Loss_D_fake 0.002509
[686/5000][505/535][70650] Loss_D: -0.023968 Loss_G: 0.001821 Loss_D_real: -0.003776 Loss_D_fake 0.020192
[686/5000][510/535][70651] Loss_D: -0.024061 Loss_G: 0.030268 Loss_D_real: -0.032076 Loss_D_fake -0.008015
[686/5000][515/535][70652] Loss_D: -0.025169 Loss_G: 0.022844 Loss_D_real: -0.025214 Loss_D_fake -0.000045
[686/5000][520/535][70653] Loss_D: -0.024874 Loss_G: 0.009098 Loss_D_real: -0.008150 Loss_D_fake 0.016724
[686/5000][525/535][70654] Loss_D: -0.022986 Loss_G: -0.007176 Loss_D_real: -0.012695 Loss_D_fake 0.010291
[686/5000][530/535][70655] Loss_D: -0.024190 Loss_G: 0.000570 Loss_D_real: -0.007659 Loss_D_fake 0.016531
[686/5000][535/535][70656] Loss_D: -0.026047 Loss_G: 0.045248 Loss_D_real: -0.030455 Loss_D_fake -0.004408
[687/5000][5/535][70657] Loss_D: -0.023991 Loss_G: 0.005212 Loss_D_real: -0.016497 Loss_D_fake 0.007493
[687/5000][10/535][70658] Loss_D: -0.023578 Loss_G: 0.007037 Loss_D_real: -0.013809 Loss_D_fake 0.009768
[687/5000][15/535][70659] Loss_D: -0.024413 Loss_G: 0.004199 Loss_D_real: -0.018888 Loss_D_fake 0.005525
[687/5000][20/535][70660] Loss_D: -0.023931 Loss_G: -0.004473 Loss_D_real: -0.010444 Loss_D_fake 0.013487
[687/5000][25/535][70661] Loss_D: -0.023994 Loss_G: 0.019339 Loss_D_real: -0.018109 Loss_D_fake 0.005885
[687/5000][30/535][70662] Loss_D: -0.024723 Loss_G: -0.004076 Loss_D_real: -0.014865 Loss_D_fake 0.009859
[687/5000][35/535][70663] Loss_D: -0.023130 Loss_G: 0.017516 Loss_D_real: -0.029668 Loss_D_fake -0.006538
[687/5000][40/535][70664] Loss_D: -0.023966 Loss_G: 0.026008 Loss_D_real: -0.028329 Loss_D_fake -0.004363
[687/5000][45/535][70665] Loss_D: -0.025359 Loss_G: 0.014445 Loss_D_real: -0.020430 Loss_D_fake 0.004929
[687/5000][50/535][70666] Loss_D: -0.024319 Loss_G: 0.008392 Loss_D_real: -0.015192 Loss_D_fake 0.009127
[687/5000][55/535][70667] Loss_D: -0.024301 Loss_G: 0.002109 Loss_D_real: -0.018756 Loss_D_fake 0.005545
[687/5000][60/535][70668] Loss_D: -0.024476 Loss_G: 0.031815 Loss_D_real: -0.031680 Loss_D_fake -0.007204
[687/5000][65/535][70669] Loss_D: -0.024360 Loss_G: 0.014979 Loss_D_real: -0.022568 Loss_D_fake 0.001792
[687/5000][70/535][70670] Loss_D: -0.023943 Loss_G: -0.002233 Loss_D_real: -0.013011 Loss_D_fake 0.010932
[687/5000][75/535][70671] Loss_D: -0.025030 Loss_G: 0.019888 Loss_D_real: -0.013297 Loss_D_fake 0.011734
[687/5000][80/535][70672] Loss_D: -0.024380 Loss_G: 0.021198 Loss_D_real: -0.017247 Loss_D_fake 0.007133
[687/5000][85/535][70673] Loss_D: -0.023448 Loss_G: -0.002776 Loss_D_real: -0.004057 Loss_D_fake 0.019391
[687/5000][90/535][70674] Loss_D: -0.022732 Loss_G: 0.021922 Loss_D_real: -0.020274 Loss_D_fake 0.002457
[687/5000][95/535][70675] Loss_D: -0.023665 Loss_G: 0.024495 Loss_D_real: -0.027344 Loss_D_fake -0.003679
[687/5000][100/535][70676] Loss_D: -0.023852 Loss_G: 0.000297 Loss_D_real: -0.013835 Loss_D_fake 0.010017
[687/5000][105/535][70677] Loss_D: -0.024195 Loss_G: 0.028627 Loss_D_real: -0.032590 Loss_D_fake -0.008394
[687/5000][110/535][70678] Loss_D: -0.024403 Loss_G: -0.010518 Loss_D_real: -0.000953 Loss_D_fake 0.023450
[687/5000][115/535][70679] Loss_D: -0.021929 Loss_G: 0.003335 Loss_D_real: -0.017291 Loss_D_fake 0.004638
[687/5000][120/535][70680] Loss_D: -0.022758 Loss_G: 0.002702 Loss_D_real: -0.010264 Loss_D_fake 0.012494
[687/5000][125/535][70681] Loss_D: -0.022611 Loss_G: 0.029785 Loss_D_real: -0.037023 Loss_D_fake -0.014412
[687/5000][130/535][70682] Loss_D: -0.022356 Loss_G: 0.022103 Loss_D_real: -0.020106 Loss_D_fake 0.002251
[687/5000][135/535][70683] Loss_D: -0.026103 Loss_G: -0.004958 Loss_D_real: -0.019739 Loss_D_fake 0.006364
[687/5000][140/535][70684] Loss_D: -0.025315 Loss_G: 0.019999 Loss_D_real: -0.020828 Loss_D_fake 0.004487
[687/5000][145/535][70685] Loss_D: -0.022884 Loss_G: 0.007159 Loss_D_real: -0.016938 Loss_D_fake 0.005946
[687/5000][150/535][70686] Loss_D: -0.024174 Loss_G: 0.012261 Loss_D_real: -0.017943 Loss_D_fake 0.006231
[687/5000][155/535][70687] Loss_D: -0.023721 Loss_G: 0.007434 Loss_D_real: -0.023280 Loss_D_fake 0.000441
[687/5000][160/535][70688] Loss_D: -0.023694 Loss_G: 0.008358 Loss_D_real: -0.016516 Loss_D_fake 0.007178
[687/5000][165/535][70689] Loss_D: -0.024704 Loss_G: 0.013877 Loss_D_real: -0.017891 Loss_D_fake 0.006813
[687/5000][170/535][70690] Loss_D: -0.020426 Loss_G: 0.035563 Loss_D_real: -0.032078 Loss_D_fake -0.011652
[687/5000][175/535][70691] Loss_D: -0.023008 Loss_G: -0.001269 Loss_D_real: -0.013800 Loss_D_fake 0.009208
[687/5000][180/535][70692] Loss_D: -0.023472 Loss_G: 0.019603 Loss_D_real: -0.029685 Loss_D_fake -0.006213
[687/5000][185/535][70693] Loss_D: -0.023132 Loss_G: 0.019965 Loss_D_real: -0.026116 Loss_D_fake -0.002984
[687/5000][190/535][70694] Loss_D: -0.025657 Loss_G: 0.003795 Loss_D_real: -0.010445 Loss_D_fake 0.015212
[687/5000][195/535][70695] Loss_D: -0.023134 Loss_G: 0.003750 Loss_D_real: -0.019821 Loss_D_fake 0.003313
[687/5000][200/535][70696] Loss_D: -0.024457 Loss_G: 0.026750 Loss_D_real: -0.023806 Loss_D_fake 0.000651
[687/5000][205/535][70697] Loss_D: -0.025002 Loss_G: 0.012006 Loss_D_real: -0.002001 Loss_D_fake 0.023000
[687/5000][210/535][70698] Loss_D: -0.022467 Loss_G: -0.001837 Loss_D_real: -0.009456 Loss_D_fake 0.013011
[687/5000][215/535][70699] Loss_D: -0.024320 Loss_G: 0.008800 Loss_D_real: -0.013338 Loss_D_fake 0.010983
[687/5000][220/535][70700] Loss_D: -0.024398 Loss_G: 0.018165 Loss_D_real: -0.020951 Loss_D_fake 0.003446
[687/5000][225/535][70701] Loss_D: -0.023522 Loss_G: 0.007080 Loss_D_real: -0.009327 Loss_D_fake 0.014194
[687/5000][230/535][70702] Loss_D: -0.023832 Loss_G: -0.014248 Loss_D_real: -0.004918 Loss_D_fake 0.018914
[687/5000][235/535][70703] Loss_D: -0.024765 Loss_G: 0.011834 Loss_D_real: -0.019696 Loss_D_fake 0.005069
[687/5000][240/535][70704] Loss_D: -0.023007 Loss_G: 0.014376 Loss_D_real: -0.030840 Loss_D_fake -0.007833
[687/5000][245/535][70705] Loss_D: -0.024948 Loss_G: 0.004139 Loss_D_real: -0.015318 Loss_D_fake 0.009630
[687/5000][250/535][70706] Loss_D: -0.024436 Loss_G: 0.008707 Loss_D_real: -0.015640 Loss_D_fake 0.008796
[687/5000][255/535][70707] Loss_D: -0.023530 Loss_G: 0.020254 Loss_D_real: -0.028838 Loss_D_fake -0.005308
[687/5000][260/535][70708] Loss_D: -0.021869 Loss_G: -0.021491 Loss_D_real: 0.005641 Loss_D_fake 0.027510
[687/5000][265/535][70709] Loss_D: -0.021875 Loss_G: 0.032395 Loss_D_real: -0.033977 Loss_D_fake -0.012102
[687/5000][270/535][70710] Loss_D: -0.024818 Loss_G: 0.004205 Loss_D_real: -0.012591 Loss_D_fake 0.012227
[687/5000][275/535][70711] Loss_D: -0.023486 Loss_G: 0.004522 Loss_D_real: -0.017245 Loss_D_fake 0.006241
[687/5000][280/535][70712] Loss_D: -0.023002 Loss_G: 0.032622 Loss_D_real: -0.034464 Loss_D_fake -0.011462
[687/5000][285/535][70713] Loss_D: -0.024925 Loss_G: 0.001999 Loss_D_real: -0.007998 Loss_D_fake 0.016927
[687/5000][290/535][70714] Loss_D: -0.024574 Loss_G: -0.001842 Loss_D_real: -0.002631 Loss_D_fake 0.021943
[687/5000][295/535][70715] Loss_D: -0.022018 Loss_G: 0.017135 Loss_D_real: -0.020651 Loss_D_fake 0.001367
[687/5000][300/535][70716] Loss_D: -0.024608 Loss_G: 0.020702 Loss_D_real: -0.025551 Loss_D_fake -0.000943
[687/5000][305/535][70717] Loss_D: -0.024035 Loss_G: 0.011378 Loss_D_real: -0.014286 Loss_D_fake 0.009749
[687/5000][310/535][70718] Loss_D: -0.023934 Loss_G: 0.020083 Loss_D_real: -0.018460 Loss_D_fake 0.005474
[687/5000][315/535][70719] Loss_D: -0.024323 Loss_G: 0.004010 Loss_D_real: -0.005464 Loss_D_fake 0.018859
[687/5000][320/535][70720] Loss_D: -0.022437 Loss_G: 0.025012 Loss_D_real: -0.022468 Loss_D_fake -0.000031
[687/5000][325/535][70721] Loss_D: -0.024887 Loss_G: 0.005039 Loss_D_real: -0.005836 Loss_D_fake 0.019051
[687/5000][330/535][70722] Loss_D: -0.024595 Loss_G: 0.014286 Loss_D_real: -0.029203 Loss_D_fake -0.004608
[687/5000][335/535][70723] Loss_D: -0.024453 Loss_G: 0.003039 Loss_D_real: -0.019222 Loss_D_fake 0.005231
[687/5000][340/535][70724] Loss_D: -0.023117 Loss_G: -0.004054 Loss_D_real: -0.006338 Loss_D_fake 0.016779
[687/5000][345/535][70725] Loss_D: -0.023595 Loss_G: 0.017013 Loss_D_real: -0.023671 Loss_D_fake -0.000076
[687/5000][350/535][70726] Loss_D: -0.024212 Loss_G: 0.019954 Loss_D_real: -0.023856 Loss_D_fake 0.000357
[687/5000][355/535][70727] Loss_D: -0.024776 Loss_G: -0.011990 Loss_D_real: -0.006574 Loss_D_fake 0.018202
[687/5000][360/535][70728] Loss_D: -0.024408 Loss_G: 0.021669 Loss_D_real: -0.022300 Loss_D_fake 0.002108
[687/5000][365/535][70729] Loss_D: -0.024643 Loss_G: 0.006037 Loss_D_real: -0.025036 Loss_D_fake -0.000394
[687/5000][370/535][70730] Loss_D: -0.024920 Loss_G: 0.008166 Loss_D_real: -0.010304 Loss_D_fake 0.014615
[687/5000][375/535][70731] Loss_D: -0.023204 Loss_G: 0.002776 Loss_D_real: -0.004435 Loss_D_fake 0.018769
[687/5000][380/535][70732] Loss_D: -0.023982 Loss_G: 0.000047 Loss_D_real: -0.018575 Loss_D_fake 0.005407
[687/5000][385/535][70733] Loss_D: -0.025235 Loss_G: 0.014262 Loss_D_real: -0.019569 Loss_D_fake 0.005666
[687/5000][390/535][70734] Loss_D: -0.024373 Loss_G: -0.003625 Loss_D_real: -0.011754 Loss_D_fake 0.012618
[687/5000][395/535][70735] Loss_D: -0.024795 Loss_G: 0.013096 Loss_D_real: -0.021878 Loss_D_fake 0.002917
[687/5000][400/535][70736] Loss_D: -0.024040 Loss_G: 0.022916 Loss_D_real: -0.022833 Loss_D_fake 0.001207
[687/5000][405/535][70737] Loss_D: -0.023684 Loss_G: -0.006262 Loss_D_real: -0.005691 Loss_D_fake 0.017992
[687/5000][410/535][70738] Loss_D: -0.023801 Loss_G: 0.024610 Loss_D_real: -0.023640 Loss_D_fake 0.000161
[687/5000][415/535][70739] Loss_D: -0.023330 Loss_G: -0.004436 Loss_D_real: -0.010638 Loss_D_fake 0.012693
[687/5000][420/535][70740] Loss_D: -0.024927 Loss_G: 0.005544 Loss_D_real: -0.007878 Loss_D_fake 0.017049
[687/5000][425/535][70741] Loss_D: -0.023876 Loss_G: 0.015053 Loss_D_real: -0.021187 Loss_D_fake 0.002689
[687/5000][430/535][70742] Loss_D: -0.022778 Loss_G: 0.020975 Loss_D_real: -0.023080 Loss_D_fake -0.000303
[687/5000][435/535][70743] Loss_D: -0.023659 Loss_G: 0.003661 Loss_D_real: -0.017286 Loss_D_fake 0.006373
[687/5000][440/535][70744] Loss_D: -0.023852 Loss_G: 0.015775 Loss_D_real: -0.017533 Loss_D_fake 0.006320
[687/5000][445/535][70745] Loss_D: -0.022792 Loss_G: -0.018697 Loss_D_real: -0.003164 Loss_D_fake 0.019629
[687/5000][450/535][70746] Loss_D: -0.023139 Loss_G: 0.010896 Loss_D_real: -0.011180 Loss_D_fake 0.011959
[687/5000][455/535][70747] Loss_D: -0.023178 Loss_G: -0.001972 Loss_D_real: -0.000270 Loss_D_fake 0.022908
[687/5000][460/535][70748] Loss_D: -0.023159 Loss_G: -0.004184 Loss_D_real: -0.020527 Loss_D_fake 0.002632
[687/5000][465/535][70749] Loss_D: -0.024031 Loss_G: 0.009721 Loss_D_real: -0.017582 Loss_D_fake 0.006449
[687/5000][470/535][70750] Loss_D: -0.023634 Loss_G: 0.008230 Loss_D_real: -0.014093 Loss_D_fake 0.009542
[687/5000][475/535][70751] Loss_D: -0.025045 Loss_G: 0.010751 Loss_D_real: -0.018130 Loss_D_fake 0.006915
[687/5000][480/535][70752] Loss_D: -0.023124 Loss_G: 0.006681 Loss_D_real: -0.017351 Loss_D_fake 0.005773
[687/5000][485/535][70753] Loss_D: -0.024512 Loss_G: 0.014167 Loss_D_real: -0.016673 Loss_D_fake 0.007839
[687/5000][490/535][70754] Loss_D: -0.024769 Loss_G: 0.013800 Loss_D_real: -0.016305 Loss_D_fake 0.008464
[687/5000][495/535][70755] Loss_D: -0.023940 Loss_G: 0.021389 Loss_D_real: -0.029558 Loss_D_fake -0.005618
[687/5000][500/535][70756] Loss_D: -0.024259 Loss_G: 0.011769 Loss_D_real: -0.013030 Loss_D_fake 0.011229
[687/5000][505/535][70757] Loss_D: -0.024153 Loss_G: 0.010123 Loss_D_real: -0.033788 Loss_D_fake -0.009635
[687/5000][510/535][70758] Loss_D: -0.025025 Loss_G: 0.029774 Loss_D_real: -0.029905 Loss_D_fake -0.004880
[687/5000][515/535][70759] Loss_D: -0.023248 Loss_G: -0.010181 Loss_D_real: 0.000551 Loss_D_fake 0.023799
[687/5000][520/535][70760] Loss_D: -0.023434 Loss_G: 0.002874 Loss_D_real: -0.014491 Loss_D_fake 0.008943
[687/5000][525/535][70761] Loss_D: -0.024715 Loss_G: -0.002380 Loss_D_real: -0.006955 Loss_D_fake 0.017760
[687/5000][530/535][70762] Loss_D: -0.025454 Loss_G: 0.025787 Loss_D_real: -0.033559 Loss_D_fake -0.008105
[687/5000][535/535][70763] Loss_D: -0.027090 Loss_G: 0.010691 Loss_D_real: -0.013961 Loss_D_fake 0.013130
[688/5000][5/535][70764] Loss_D: -0.026332 Loss_G: 0.019644 Loss_D_real: -0.026821 Loss_D_fake -0.000489
[688/5000][10/535][70765] Loss_D: -0.024236 Loss_G: 0.019845 Loss_D_real: -0.014501 Loss_D_fake 0.009734
[688/5000][15/535][70766] Loss_D: -0.024805 Loss_G: 0.005895 Loss_D_real: -0.009910 Loss_D_fake 0.014895
[688/5000][20/535][70767] Loss_D: -0.024917 Loss_G: 0.020877 Loss_D_real: -0.023194 Loss_D_fake 0.001724
[688/5000][25/535][70768] Loss_D: -0.025483 Loss_G: 0.024172 Loss_D_real: -0.015040 Loss_D_fake 0.010444
[688/5000][30/535][70769] Loss_D: -0.025157 Loss_G: 0.018646 Loss_D_real: -0.038569 Loss_D_fake -0.013413
[688/5000][35/535][70770] Loss_D: -0.025135 Loss_G: -0.003575 Loss_D_real: 0.000840 Loss_D_fake 0.025975
[688/5000][40/535][70771] Loss_D: -0.024922 Loss_G: -0.000870 Loss_D_real: -0.020187 Loss_D_fake 0.004735
[688/5000][45/535][70772] Loss_D: -0.024956 Loss_G: 0.015728 Loss_D_real: -0.015965 Loss_D_fake 0.008990
[688/5000][50/535][70773] Loss_D: -0.024527 Loss_G: 0.003668 Loss_D_real: -0.013962 Loss_D_fake 0.010566
[688/5000][55/535][70774] Loss_D: -0.024191 Loss_G: 0.026379 Loss_D_real: -0.027576 Loss_D_fake -0.003384
[688/5000][60/535][70775] Loss_D: -0.023475 Loss_G: -0.013417 Loss_D_real: -0.008742 Loss_D_fake 0.014733
[688/5000][65/535][70776] Loss_D: -0.023552 Loss_G: 0.011853 Loss_D_real: -0.017791 Loss_D_fake 0.005761
[688/5000][70/535][70777] Loss_D: -0.024673 Loss_G: 0.009791 Loss_D_real: -0.019643 Loss_D_fake 0.005030
[688/5000][75/535][70778] Loss_D: -0.024658 Loss_G: 0.001343 Loss_D_real: -0.014986 Loss_D_fake 0.009672
[688/5000][80/535][70779] Loss_D: -0.024473 Loss_G: 0.013165 Loss_D_real: -0.016688 Loss_D_fake 0.007784
[688/5000][85/535][70780] Loss_D: -0.024332 Loss_G: 0.010193 Loss_D_real: -0.023585 Loss_D_fake 0.000747
[688/5000][90/535][70781] Loss_D: -0.022329 Loss_G: 0.024426 Loss_D_real: -0.031783 Loss_D_fake -0.009454
[688/5000][95/535][70782] Loss_D: -0.024576 Loss_G: 0.030723 Loss_D_real: -0.026633 Loss_D_fake -0.002057
[688/5000][100/535][70783] Loss_D: -0.024067 Loss_G: -0.009682 Loss_D_real: 0.001880 Loss_D_fake 0.025947
[688/5000][105/535][70784] Loss_D: -0.023972 Loss_G: 0.001058 Loss_D_real: -0.004891 Loss_D_fake 0.019082
[688/5000][110/535][70785] Loss_D: -0.024251 Loss_G: 0.022096 Loss_D_real: -0.022750 Loss_D_fake 0.001500
[688/5000][115/535][70786] Loss_D: -0.023881 Loss_G: -0.005179 Loss_D_real: -0.004777 Loss_D_fake 0.019104
[688/5000][120/535][70787] Loss_D: -0.024462 Loss_G: 0.012047 Loss_D_real: -0.018835 Loss_D_fake 0.005627
[688/5000][125/535][70788] Loss_D: -0.024156 Loss_G: -0.012760 Loss_D_real: -0.000572 Loss_D_fake 0.023585
[688/5000][130/535][70789] Loss_D: -0.023331 Loss_G: 0.019128 Loss_D_real: -0.015127 Loss_D_fake 0.008203
[688/5000][135/535][70790] Loss_D: -0.024225 Loss_G: 0.016891 Loss_D_real: -0.026597 Loss_D_fake -0.002372
[688/5000][140/535][70791] Loss_D: -0.023656 Loss_G: 0.021067 Loss_D_real: -0.018792 Loss_D_fake 0.004864
[688/5000][145/535][70792] Loss_D: -0.025018 Loss_G: 0.005239 Loss_D_real: -0.018862 Loss_D_fake 0.006156
[688/5000][150/535][70793] Loss_D: -0.024431 Loss_G: 0.010438 Loss_D_real: -0.014702 Loss_D_fake 0.009730
[688/5000][155/535][70794] Loss_D: -0.023797 Loss_G: -0.005155 Loss_D_real: -0.009695 Loss_D_fake 0.014103
[688/5000][160/535][70795] Loss_D: -0.023654 Loss_G: 0.023972 Loss_D_real: -0.015799 Loss_D_fake 0.007855
[688/5000][165/535][70796] Loss_D: -0.024288 Loss_G: 0.020462 Loss_D_real: -0.026785 Loss_D_fake -0.002497
[688/5000][170/535][70797] Loss_D: -0.024816 Loss_G: 0.014982 Loss_D_real: -0.021556 Loss_D_fake 0.003260
[688/5000][175/535][70798] Loss_D: -0.024821 Loss_G: 0.005574 Loss_D_real: -0.018573 Loss_D_fake 0.006248
[688/5000][180/535][70799] Loss_D: -0.024713 Loss_G: 0.008134 Loss_D_real: -0.026434 Loss_D_fake -0.001721
[688/5000][185/535][70800] Loss_D: -0.024341 Loss_G: -0.011419 Loss_D_real: -0.000491 Loss_D_fake 0.023850
[688/5000][190/535][70801] Loss_D: -0.024256 Loss_G: 0.033289 Loss_D_real: -0.019612 Loss_D_fake 0.004645
[688/5000][195/535][70802] Loss_D: -0.024253 Loss_G: -0.004069 Loss_D_real: -0.011857 Loss_D_fake 0.012397
[688/5000][200/535][70803] Loss_D: -0.025002 Loss_G: 0.016024 Loss_D_real: -0.016881 Loss_D_fake 0.008120
[688/5000][205/535][70804] Loss_D: -0.025278 Loss_G: 0.007807 Loss_D_real: -0.029427 Loss_D_fake -0.004149
[688/5000][210/535][70805] Loss_D: -0.025258 Loss_G: -0.002450 Loss_D_real: -0.005200 Loss_D_fake 0.020057
[688/5000][215/535][70806] Loss_D: -0.023333 Loss_G: 0.011686 Loss_D_real: -0.013955 Loss_D_fake 0.009378
[688/5000][220/535][70807] Loss_D: -0.024971 Loss_G: 0.009700 Loss_D_real: -0.023918 Loss_D_fake 0.001053
[688/5000][225/535][70808] Loss_D: -0.024423 Loss_G: 0.003404 Loss_D_real: -0.017147 Loss_D_fake 0.007276
[688/5000][230/535][70809] Loss_D: -0.024564 Loss_G: 0.001367 Loss_D_real: -0.006496 Loss_D_fake 0.018068
[688/5000][235/535][70810] Loss_D: -0.025174 Loss_G: 0.016386 Loss_D_real: -0.025566 Loss_D_fake -0.000392
[688/5000][240/535][70811] Loss_D: -0.025179 Loss_G: 0.011132 Loss_D_real: -0.011817 Loss_D_fake 0.013362
[688/5000][245/535][70812] Loss_D: -0.023620 Loss_G: 0.001757 Loss_D_real: -0.011345 Loss_D_fake 0.012275
[688/5000][250/535][70813] Loss_D: -0.024736 Loss_G: 0.003344 Loss_D_real: -0.013458 Loss_D_fake 0.011278
[688/5000][255/535][70814] Loss_D: -0.024581 Loss_G: 0.005442 Loss_D_real: -0.007606 Loss_D_fake 0.016976
[688/5000][260/535][70815] Loss_D: -0.024101 Loss_G: 0.007679 Loss_D_real: -0.009153 Loss_D_fake 0.014948
[688/5000][265/535][70816] Loss_D: -0.023601 Loss_G: -0.010580 Loss_D_real: -0.006277 Loss_D_fake 0.017325
[688/5000][270/535][70817] Loss_D: -0.024926 Loss_G: 0.011563 Loss_D_real: -0.018702 Loss_D_fake 0.006224
[688/5000][275/535][70818] Loss_D: -0.022180 Loss_G: 0.017374 Loss_D_real: -0.022890 Loss_D_fake -0.000710
[688/5000][280/535][70819] Loss_D: -0.023890 Loss_G: 0.020072 Loss_D_real: -0.027552 Loss_D_fake -0.003662
[688/5000][285/535][70820] Loss_D: -0.023883 Loss_G: 0.000516 Loss_D_real: 0.001091 Loss_D_fake 0.024974
[688/5000][290/535][70821] Loss_D: -0.024173 Loss_G: 0.014981 Loss_D_real: -0.020578 Loss_D_fake 0.003595
[688/5000][295/535][70822] Loss_D: -0.024860 Loss_G: 0.033128 Loss_D_real: -0.024425 Loss_D_fake 0.000435
[688/5000][300/535][70823] Loss_D: -0.022454 Loss_G: -0.022815 Loss_D_real: 0.006151 Loss_D_fake 0.028605
[688/5000][305/535][70824] Loss_D: -0.023310 Loss_G: 0.004249 Loss_D_real: -0.013189 Loss_D_fake 0.010121
[688/5000][310/535][70825] Loss_D: -0.023531 Loss_G: 0.022409 Loss_D_real: -0.028420 Loss_D_fake -0.004889
[688/5000][315/535][70826] Loss_D: -0.024028 Loss_G: 0.000106 Loss_D_real: -0.010132 Loss_D_fake 0.013896
[688/5000][320/535][70827] Loss_D: -0.024294 Loss_G: 0.025142 Loss_D_real: -0.023408 Loss_D_fake 0.000886
[688/5000][325/535][70828] Loss_D: -0.023519 Loss_G: 0.001540 Loss_D_real: -0.015986 Loss_D_fake 0.007533
[688/5000][330/535][70829] Loss_D: -0.024063 Loss_G: 0.024135 Loss_D_real: -0.025699 Loss_D_fake -0.001636
[688/5000][335/535][70830] Loss_D: -0.022888 Loss_G: 0.021296 Loss_D_real: -0.023737 Loss_D_fake -0.000849
[688/5000][340/535][70831] Loss_D: -0.023332 Loss_G: -0.006126 Loss_D_real: -0.001301 Loss_D_fake 0.022031
[688/5000][345/535][70832] Loss_D: -0.024543 Loss_G: 0.008986 Loss_D_real: -0.010248 Loss_D_fake 0.014295
[688/5000][350/535][70833] Loss_D: -0.026101 Loss_G: 0.008110 Loss_D_real: -0.024856 Loss_D_fake 0.001246
[688/5000][355/535][70834] Loss_D: -0.024701 Loss_G: 0.003783 Loss_D_real: -0.017086 Loss_D_fake 0.007616
[688/5000][360/535][70835] Loss_D: -0.024817 Loss_G: 0.000706 Loss_D_real: -0.011636 Loss_D_fake 0.013181
[688/5000][365/535][70836] Loss_D: -0.024503 Loss_G: 0.025202 Loss_D_real: -0.019327 Loss_D_fake 0.005176
[688/5000][370/535][70837] Loss_D: -0.023544 Loss_G: 0.022492 Loss_D_real: -0.023516 Loss_D_fake 0.000028
[688/5000][375/535][70838] Loss_D: -0.024685 Loss_G: 0.003338 Loss_D_real: -0.014172 Loss_D_fake 0.010513
[688/5000][380/535][70839] Loss_D: -0.024274 Loss_G: 0.005803 Loss_D_real: -0.007379 Loss_D_fake 0.016895
[688/5000][385/535][70840] Loss_D: -0.024846 Loss_G: 0.024108 Loss_D_real: -0.016434 Loss_D_fake 0.008412
[688/5000][390/535][70841] Loss_D: -0.024182 Loss_G: 0.002462 Loss_D_real: -0.013628 Loss_D_fake 0.010554
[688/5000][395/535][70842] Loss_D: -0.024770 Loss_G: 0.022391 Loss_D_real: -0.018133 Loss_D_fake 0.006637
[688/5000][400/535][70843] Loss_D: -0.024375 Loss_G: 0.010426 Loss_D_real: -0.028066 Loss_D_fake -0.003691
[688/5000][405/535][70844] Loss_D: -0.024326 Loss_G: 0.020787 Loss_D_real: -0.030910 Loss_D_fake -0.006585
[688/5000][410/535][70845] Loss_D: -0.024885 Loss_G: 0.014592 Loss_D_real: -0.018663 Loss_D_fake 0.006223
[688/5000][415/535][70846] Loss_D: -0.022841 Loss_G: 0.021144 Loss_D_real: -0.027918 Loss_D_fake -0.005077
[688/5000][420/535][70847] Loss_D: -0.023990 Loss_G: 0.015734 Loss_D_real: -0.017829 Loss_D_fake 0.006160
[688/5000][425/535][70848] Loss_D: -0.025689 Loss_G: 0.005292 Loss_D_real: -0.028037 Loss_D_fake -0.002348
[688/5000][430/535][70849] Loss_D: -0.024534 Loss_G: 0.007295 Loss_D_real: -0.012920 Loss_D_fake 0.011614
[688/5000][435/535][70850] Loss_D: -0.023726 Loss_G: 0.016808 Loss_D_real: -0.026975 Loss_D_fake -0.003249
[688/5000][440/535][70851] Loss_D: -0.021834 Loss_G: -0.015945 Loss_D_real: 0.008747 Loss_D_fake 0.030581
[688/5000][445/535][70852] Loss_D: -0.023376 Loss_G: 0.009102 Loss_D_real: -0.013968 Loss_D_fake 0.009408
[688/5000][450/535][70853] Loss_D: -0.022561 Loss_G: 0.026152 Loss_D_real: -0.025628 Loss_D_fake -0.003067
[688/5000][455/535][70854] Loss_D: -0.022911 Loss_G: -0.003386 Loss_D_real: -0.006394 Loss_D_fake 0.016516
[688/5000][460/535][70855] Loss_D: -0.024111 Loss_G: 0.013392 Loss_D_real: -0.018986 Loss_D_fake 0.005125
[688/5000][465/535][70856] Loss_D: -0.023927 Loss_G: 0.013138 Loss_D_real: -0.023273 Loss_D_fake 0.000654
[688/5000][470/535][70857] Loss_D: -0.024412 Loss_G: 0.023893 Loss_D_real: -0.019066 Loss_D_fake 0.005346
[688/5000][475/535][70858] Loss_D: -0.024243 Loss_G: 0.015619 Loss_D_real: -0.021016 Loss_D_fake 0.003227
[688/5000][480/535][70859] Loss_D: -0.023279 Loss_G: 0.014940 Loss_D_real: -0.021925 Loss_D_fake 0.001354
[688/5000][485/535][70860] Loss_D: -0.025042 Loss_G: 0.015183 Loss_D_real: -0.017275 Loss_D_fake 0.007768
[688/5000][490/535][70861] Loss_D: -0.024799 Loss_G: 0.023330 Loss_D_real: -0.028422 Loss_D_fake -0.003623
[688/5000][495/535][70862] Loss_D: -0.025773 Loss_G: -0.007166 Loss_D_real: -0.008223 Loss_D_fake 0.017549
[688/5000][500/535][70863] Loss_D: -0.023983 Loss_G: 0.016314 Loss_D_real: -0.016643 Loss_D_fake 0.007340
[688/5000][505/535][70864] Loss_D: -0.024133 Loss_G: 0.003177 Loss_D_real: -0.014096 Loss_D_fake 0.010037
[688/5000][510/535][70865] Loss_D: -0.022743 Loss_G: -0.013046 Loss_D_real: -0.005147 Loss_D_fake 0.017597
[688/5000][515/535][70866] Loss_D: -0.023887 Loss_G: 0.025930 Loss_D_real: -0.032257 Loss_D_fake -0.008370
[688/5000][520/535][70867] Loss_D: -0.024551 Loss_G: 0.000943 Loss_D_real: -0.010490 Loss_D_fake 0.014062
[688/5000][525/535][70868] Loss_D: -0.024587 Loss_G: -0.003259 Loss_D_real: -0.004876 Loss_D_fake 0.019711
[688/5000][530/535][70869] Loss_D: -0.023812 Loss_G: 0.024707 Loss_D_real: -0.036457 Loss_D_fake -0.012645
[688/5000][535/535][70870] Loss_D: -0.021015 Loss_G: 0.003855 Loss_D_real: -0.005133 Loss_D_fake 0.015881
[689/5000][5/535][70871] Loss_D: -0.023903 Loss_G: 0.018640 Loss_D_real: -0.026328 Loss_D_fake -0.002425
[689/5000][10/535][70872] Loss_D: -0.024531 Loss_G: 0.014462 Loss_D_real: -0.023055 Loss_D_fake 0.001476
[689/5000][15/535][70873] Loss_D: -0.024096 Loss_G: 0.032395 Loss_D_real: -0.028099 Loss_D_fake -0.004003
[689/5000][20/535][70874] Loss_D: -0.024845 Loss_G: 0.018145 Loss_D_real: -0.015920 Loss_D_fake 0.008924
[689/5000][25/535][70875] Loss_D: -0.024138 Loss_G: 0.007204 Loss_D_real: -0.020838 Loss_D_fake 0.003300
[689/5000][30/535][70876] Loss_D: -0.024812 Loss_G: -0.006908 Loss_D_real: -0.004189 Loss_D_fake 0.020624
[689/5000][35/535][70877] Loss_D: -0.024901 Loss_G: 0.030254 Loss_D_real: -0.031628 Loss_D_fake -0.006727
[689/5000][40/535][70878] Loss_D: -0.025307 Loss_G: 0.002033 Loss_D_real: -0.019023 Loss_D_fake 0.006284
[689/5000][45/535][70879] Loss_D: -0.023109 Loss_G: 0.028482 Loss_D_real: -0.023637 Loss_D_fake -0.000528
[689/5000][50/535][70880] Loss_D: -0.023301 Loss_G: -0.002255 Loss_D_real: -0.018133 Loss_D_fake 0.005168
[689/5000][55/535][70881] Loss_D: -0.023976 Loss_G: 0.018411 Loss_D_real: -0.025036 Loss_D_fake -0.001060
[689/5000][60/535][70882] Loss_D: -0.022626 Loss_G: -0.004267 Loss_D_real: -0.011927 Loss_D_fake 0.010699
[689/5000][65/535][70883] Loss_D: -0.023908 Loss_G: 0.008688 Loss_D_real: -0.016083 Loss_D_fake 0.007825
[689/5000][70/535][70884] Loss_D: -0.023311 Loss_G: 0.004714 Loss_D_real: -0.007960 Loss_D_fake 0.015351
[689/5000][75/535][70885] Loss_D: -0.023979 Loss_G: 0.005074 Loss_D_real: -0.015590 Loss_D_fake 0.008389
[689/5000][80/535][70886] Loss_D: -0.024036 Loss_G: 0.019310 Loss_D_real: -0.028714 Loss_D_fake -0.004678
[689/5000][85/535][70887] Loss_D: -0.024108 Loss_G: 0.020845 Loss_D_real: -0.024570 Loss_D_fake -0.000462
[689/5000][90/535][70888] Loss_D: -0.023576 Loss_G: 0.005412 Loss_D_real: -0.027772 Loss_D_fake -0.004196
[689/5000][95/535][70889] Loss_D: -0.022048 Loss_G: 0.018535 Loss_D_real: -0.017023 Loss_D_fake 0.005024
[689/5000][100/535][70890] Loss_D: -0.022076 Loss_G: -0.016967 Loss_D_real: 0.005606 Loss_D_fake 0.027682
[689/5000][105/535][70891] Loss_D: -0.022695 Loss_G: 0.018502 Loss_D_real: -0.021187 Loss_D_fake 0.001508
[689/5000][110/535][70892] Loss_D: -0.024394 Loss_G: 0.018498 Loss_D_real: -0.021855 Loss_D_fake 0.002540
[689/5000][115/535][70893] Loss_D: -0.022642 Loss_G: 0.000499 Loss_D_real: -0.003427 Loss_D_fake 0.019215
[689/5000][120/535][70894] Loss_D: -0.024222 Loss_G: 0.020708 Loss_D_real: -0.022065 Loss_D_fake 0.002157
[689/5000][125/535][70895] Loss_D: -0.024124 Loss_G: 0.020235 Loss_D_real: -0.014344 Loss_D_fake 0.009780
[689/5000][130/535][70896] Loss_D: -0.026104 Loss_G: 0.019338 Loss_D_real: -0.019037 Loss_D_fake 0.007067
[689/5000][135/535][70897] Loss_D: -0.023846 Loss_G: -0.023813 Loss_D_real: 0.005478 Loss_D_fake 0.029324
[689/5000][140/535][70898] Loss_D: -0.024630 Loss_G: 0.016948 Loss_D_real: -0.024373 Loss_D_fake 0.000258
[689/5000][145/535][70899] Loss_D: -0.024812 Loss_G: 0.015701 Loss_D_real: -0.014848 Loss_D_fake 0.009964
[689/5000][150/535][70900] Loss_D: -0.023828 Loss_G: 0.010399 Loss_D_real: -0.012845 Loss_D_fake 0.010984
[689/5000][155/535][70901] Loss_D: -0.023430 Loss_G: 0.017982 Loss_D_real: -0.024457 Loss_D_fake -0.001027
[689/5000][160/535][70902] Loss_D: -0.025464 Loss_G: 0.021359 Loss_D_real: -0.024835 Loss_D_fake 0.000629
[689/5000][165/535][70903] Loss_D: -0.023023 Loss_G: 0.019432 Loss_D_real: -0.033171 Loss_D_fake -0.010148
[689/5000][170/535][70904] Loss_D: -0.024320 Loss_G: 0.013994 Loss_D_real: -0.020858 Loss_D_fake 0.003463
[689/5000][175/535][70905] Loss_D: -0.022841 Loss_G: -0.016255 Loss_D_real: -0.000856 Loss_D_fake 0.021985
[689/5000][180/535][70906] Loss_D: -0.023810 Loss_G: 0.019639 Loss_D_real: -0.022843 Loss_D_fake 0.000967
[689/5000][185/535][70907] Loss_D: -0.024835 Loss_G: 0.013878 Loss_D_real: -0.016879 Loss_D_fake 0.007955
[689/5000][190/535][70908] Loss_D: -0.024331 Loss_G: -0.006668 Loss_D_real: -0.009177 Loss_D_fake 0.015154
[689/5000][195/535][70909] Loss_D: -0.024029 Loss_G: 0.009138 Loss_D_real: -0.018034 Loss_D_fake 0.005995
[689/5000][200/535][70910] Loss_D: -0.023465 Loss_G: 0.009546 Loss_D_real: -0.025767 Loss_D_fake -0.002301
[689/5000][205/535][70911] Loss_D: -0.023954 Loss_G: 0.012174 Loss_D_real: -0.029201 Loss_D_fake -0.005247
[689/5000][210/535][70912] Loss_D: -0.025526 Loss_G: -0.002888 Loss_D_real: -0.012052 Loss_D_fake 0.013474
[689/5000][215/535][70913] Loss_D: -0.023779 Loss_G: -0.002999 Loss_D_real: -0.009250 Loss_D_fake 0.014529
[689/5000][220/535][70914] Loss_D: -0.021799 Loss_G: 0.033950 Loss_D_real: -0.032802 Loss_D_fake -0.011003
[689/5000][225/535][70915] Loss_D: -0.023078 Loss_G: 0.022976 Loss_D_real: -0.017743 Loss_D_fake 0.005335
[689/5000][230/535][70916] Loss_D: -0.022973 Loss_G: 0.015977 Loss_D_real: -0.029959 Loss_D_fake -0.006986
[689/5000][235/535][70917] Loss_D: -0.023607 Loss_G: -0.003772 Loss_D_real: 0.000666 Loss_D_fake 0.024273
[689/5000][240/535][70918] Loss_D: -0.022365 Loss_G: -0.004207 Loss_D_real: -0.007303 Loss_D_fake 0.015063
[689/5000][245/535][70919] Loss_D: -0.024386 Loss_G: 0.013887 Loss_D_real: -0.024128 Loss_D_fake 0.000257
[689/5000][250/535][70920] Loss_D: -0.025681 Loss_G: 0.004327 Loss_D_real: -0.021071 Loss_D_fake 0.004610
[689/5000][255/535][70921] Loss_D: -0.023766 Loss_G: 0.012306 Loss_D_real: -0.022131 Loss_D_fake 0.001635
[689/5000][260/535][70922] Loss_D: -0.024535 Loss_G: 0.019838 Loss_D_real: -0.025256 Loss_D_fake -0.000721
[689/5000][265/535][70923] Loss_D: -0.023304 Loss_G: 0.030827 Loss_D_real: -0.024102 Loss_D_fake -0.000798
[689/5000][270/535][70924] Loss_D: -0.024334 Loss_G: -0.000638 Loss_D_real: -0.010836 Loss_D_fake 0.013498
[689/5000][275/535][70925] Loss_D: -0.023243 Loss_G: 0.022402 Loss_D_real: -0.024460 Loss_D_fake -0.001217
[689/5000][280/535][70926] Loss_D: -0.023698 Loss_G: 0.008822 Loss_D_real: -0.020246 Loss_D_fake 0.003452
[689/5000][285/535][70927] Loss_D: -0.023775 Loss_G: 0.002343 Loss_D_real: -0.018271 Loss_D_fake 0.005504
[689/5000][290/535][70928] Loss_D: -0.024778 Loss_G: 0.021744 Loss_D_real: -0.024703 Loss_D_fake 0.000075
[689/5000][295/535][70929] Loss_D: -0.026838 Loss_G: 0.017747 Loss_D_real: -0.020201 Loss_D_fake 0.006637
[689/5000][300/535][70930] Loss_D: -0.025242 Loss_G: 0.017022 Loss_D_real: -0.031853 Loss_D_fake -0.006611
[689/5000][305/535][70931] Loss_D: -0.023490 Loss_G: 0.001942 Loss_D_real: 0.005240 Loss_D_fake 0.028730
[689/5000][310/535][70932] Loss_D: -0.024680 Loss_G: 0.003678 Loss_D_real: -0.007746 Loss_D_fake 0.016934
[689/5000][315/535][70933] Loss_D: -0.024691 Loss_G: 0.018252 Loss_D_real: -0.022789 Loss_D_fake 0.001901
[689/5000][320/535][70934] Loss_D: -0.024757 Loss_G: 0.013696 Loss_D_real: -0.017498 Loss_D_fake 0.007259
[689/5000][325/535][70935] Loss_D: -0.024027 Loss_G: 0.024052 Loss_D_real: -0.021789 Loss_D_fake 0.002238
[689/5000][330/535][70936] Loss_D: -0.024269 Loss_G: 0.019389 Loss_D_real: -0.016366 Loss_D_fake 0.007903
[689/5000][335/535][70937] Loss_D: -0.023474 Loss_G: 0.004163 Loss_D_real: -0.021450 Loss_D_fake 0.002024
[689/5000][340/535][70938] Loss_D: -0.024999 Loss_G: 0.028637 Loss_D_real: -0.023323 Loss_D_fake 0.001676
[689/5000][345/535][70939] Loss_D: -0.025111 Loss_G: 0.010201 Loss_D_real: -0.024300 Loss_D_fake 0.000811
[689/5000][350/535][70940] Loss_D: -0.025247 Loss_G: 0.014274 Loss_D_real: -0.016395 Loss_D_fake 0.008852
[689/5000][355/535][70941] Loss_D: -0.025206 Loss_G: 0.004181 Loss_D_real: -0.014065 Loss_D_fake 0.011140
[689/5000][360/535][70942] Loss_D: -0.024676 Loss_G: 0.017508 Loss_D_real: -0.022256 Loss_D_fake 0.002420
[689/5000][365/535][70943] Loss_D: -0.024574 Loss_G: 0.015195 Loss_D_real: -0.012214 Loss_D_fake 0.012360
[689/5000][370/535][70944] Loss_D: -0.024309 Loss_G: 0.011812 Loss_D_real: -0.020447 Loss_D_fake 0.003862
[689/5000][375/535][70945] Loss_D: -0.024482 Loss_G: 0.011472 Loss_D_real: -0.014038 Loss_D_fake 0.010443
[689/5000][380/535][70946] Loss_D: -0.025235 Loss_G: 0.011208 Loss_D_real: -0.026904 Loss_D_fake -0.001668
[689/5000][385/535][70947] Loss_D: -0.023976 Loss_G: 0.013834 Loss_D_real: -0.018975 Loss_D_fake 0.005000
[689/5000][390/535][70948] Loss_D: -0.025138 Loss_G: 0.019718 Loss_D_real: -0.016624 Loss_D_fake 0.008514
[689/5000][395/535][70949] Loss_D: -0.023865 Loss_G: -0.003238 Loss_D_real: -0.003249 Loss_D_fake 0.020616
[689/5000][400/535][70950] Loss_D: -0.023986 Loss_G: 0.007010 Loss_D_real: -0.018268 Loss_D_fake 0.005718
[689/5000][405/535][70951] Loss_D: -0.024445 Loss_G: -0.007478 Loss_D_real: 0.000238 Loss_D_fake 0.024684
[689/5000][410/535][70952] Loss_D: -0.023866 Loss_G: 0.022910 Loss_D_real: -0.020382 Loss_D_fake 0.003484
[689/5000][415/535][70953] Loss_D: -0.023841 Loss_G: -0.000752 Loss_D_real: -0.017331 Loss_D_fake 0.006510
[689/5000][420/535][70954] Loss_D: -0.024256 Loss_G: 0.027227 Loss_D_real: -0.022996 Loss_D_fake 0.001260
[689/5000][425/535][70955] Loss_D: -0.025173 Loss_G: 0.009366 Loss_D_real: -0.019602 Loss_D_fake 0.005571
[689/5000][430/535][70956] Loss_D: -0.023488 Loss_G: 0.016317 Loss_D_real: -0.013956 Loss_D_fake 0.009532
[689/5000][435/535][70957] Loss_D: -0.024912 Loss_G: 0.009209 Loss_D_real: -0.011892 Loss_D_fake 0.013019
[689/5000][440/535][70958] Loss_D: -0.024267 Loss_G: -0.008381 Loss_D_real: -0.003281 Loss_D_fake 0.020986
[689/5000][445/535][70959] Loss_D: -0.026057 Loss_G: 0.000812 Loss_D_real: -0.008276 Loss_D_fake 0.017780
[689/5000][450/535][70960] Loss_D: -0.024276 Loss_G: 0.013980 Loss_D_real: -0.012486 Loss_D_fake 0.011790
[689/5000][455/535][70961] Loss_D: -0.023504 Loss_G: 0.011496 Loss_D_real: -0.029850 Loss_D_fake -0.006346
[689/5000][460/535][70962] Loss_D: -0.025358 Loss_G: 0.030674 Loss_D_real: -0.020866 Loss_D_fake 0.004492
[689/5000][465/535][70963] Loss_D: -0.024035 Loss_G: -0.011440 Loss_D_real: -0.006162 Loss_D_fake 0.017873
[689/5000][470/535][70964] Loss_D: -0.024342 Loss_G: 0.024952 Loss_D_real: -0.024890 Loss_D_fake -0.000548
[689/5000][475/535][70965] Loss_D: -0.024336 Loss_G: 0.015437 Loss_D_real: -0.015068 Loss_D_fake 0.009269
[689/5000][480/535][70966] Loss_D: -0.024611 Loss_G: 0.021502 Loss_D_real: -0.018116 Loss_D_fake 0.006495
[689/5000][485/535][70967] Loss_D: -0.023951 Loss_G: -0.002385 Loss_D_real: -0.002343 Loss_D_fake 0.021609
[689/5000][490/535][70968] Loss_D: -0.023879 Loss_G: 0.020467 Loss_D_real: -0.039864 Loss_D_fake -0.015985
[689/5000][495/535][70969] Loss_D: -0.024109 Loss_G: 0.023441 Loss_D_real: -0.015568 Loss_D_fake 0.008541
[689/5000][500/535][70970] Loss_D: -0.024047 Loss_G: 0.017292 Loss_D_real: -0.029881 Loss_D_fake -0.005834
[689/5000][505/535][70971] Loss_D: -0.024114 Loss_G: -0.007002 Loss_D_real: -0.014641 Loss_D_fake 0.009473
[689/5000][510/535][70972] Loss_D: -0.024261 Loss_G: 0.002939 Loss_D_real: -0.023373 Loss_D_fake 0.000888
[689/5000][515/535][70973] Loss_D: -0.024068 Loss_G: 0.004847 Loss_D_real: -0.021451 Loss_D_fake 0.002618
[689/5000][520/535][70974] Loss_D: -0.025184 Loss_G: 0.017466 Loss_D_real: -0.018277 Loss_D_fake 0.006907
[689/5000][525/535][70975] Loss_D: -0.024242 Loss_G: 0.025208 Loss_D_real: -0.023447 Loss_D_fake 0.000795
[689/5000][530/535][70976] Loss_D: -0.024402 Loss_G: 0.020870 Loss_D_real: -0.022392 Loss_D_fake 0.002010
[689/5000][535/535][70977] Loss_D: -0.024882 Loss_G: -0.006801 Loss_D_real: -0.015480 Loss_D_fake 0.009402
[690/5000][5/535][70978] Loss_D: -0.023688 Loss_G: 0.021361 Loss_D_real: -0.025727 Loss_D_fake -0.002040
[690/5000][10/535][70979] Loss_D: -0.024177 Loss_G: 0.031868 Loss_D_real: -0.028890 Loss_D_fake -0.004713
[690/5000][15/535][70980] Loss_D: -0.024396 Loss_G: 0.012990 Loss_D_real: -0.020252 Loss_D_fake 0.004144
[690/5000][20/535][70981] Loss_D: -0.024282 Loss_G: 0.009315 Loss_D_real: -0.011868 Loss_D_fake 0.012414
[690/5000][25/535][70982] Loss_D: -0.025536 Loss_G: 0.018615 Loss_D_real: -0.022464 Loss_D_fake 0.003072
[690/5000][30/535][70983] Loss_D: -0.024428 Loss_G: -0.000168 Loss_D_real: -0.020313 Loss_D_fake 0.004115
[690/5000][35/535][70984] Loss_D: -0.024396 Loss_G: -0.000277 Loss_D_real: -0.017560 Loss_D_fake 0.006836
[690/5000][40/535][70985] Loss_D: -0.024999 Loss_G: 0.016474 Loss_D_real: -0.018987 Loss_D_fake 0.006012
[690/5000][45/535][70986] Loss_D: -0.023245 Loss_G: 0.017943 Loss_D_real: -0.023795 Loss_D_fake -0.000550
[690/5000][50/535][70987] Loss_D: -0.024137 Loss_G: 0.010900 Loss_D_real: -0.026507 Loss_D_fake -0.002370
[690/5000][55/535][70988] Loss_D: -0.023743 Loss_G: 0.004125 Loss_D_real: -0.008955 Loss_D_fake 0.014788
[690/5000][60/535][70989] Loss_D: -0.025225 Loss_G: 0.019162 Loss_D_real: -0.023774 Loss_D_fake 0.001452
[690/5000][65/535][70990] Loss_D: -0.024413 Loss_G: -0.012889 Loss_D_real: -0.015884 Loss_D_fake 0.008528
[690/5000][70/535][70991] Loss_D: -0.023212 Loss_G: 0.029917 Loss_D_real: -0.029909 Loss_D_fake -0.006697
[690/5000][75/535][70992] Loss_D: -0.024791 Loss_G: -0.004145 Loss_D_real: -0.010285 Loss_D_fake 0.014507
[690/5000][80/535][70993] Loss_D: -0.022946 Loss_G: 0.017524 Loss_D_real: -0.029401 Loss_D_fake -0.006455
[690/5000][85/535][70994] Loss_D: -0.023384 Loss_G: 0.023239 Loss_D_real: -0.021686 Loss_D_fake 0.001698
[690/5000][90/535][70995] Loss_D: -0.024025 Loss_G: 0.007633 Loss_D_real: -0.031165 Loss_D_fake -0.007139
[690/5000][95/535][70996] Loss_D: -0.024483 Loss_G: 0.021438 Loss_D_real: -0.017424 Loss_D_fake 0.007060
[690/5000][100/535][70997] Loss_D: -0.024441 Loss_G: 0.011929 Loss_D_real: -0.015171 Loss_D_fake 0.009270
[690/5000][105/535][70998] Loss_D: -0.024616 Loss_G: 0.022039 Loss_D_real: -0.021109 Loss_D_fake 0.003507
[690/5000][110/535][70999] Loss_D: -0.024247 Loss_G: 0.011199 Loss_D_real: -0.032339 Loss_D_fake -0.008092
[690/5000][115/535][71000] Loss_D: -0.022385 Loss_G: -0.013984 Loss_D_real: 0.001146 Loss_D_fake 0.023531
[690/5000][215/535][71001] Loss_D: -0.023990 Loss_G: 0.021580 Loss_D_real: -0.030786 Loss_D_fake -0.006796
[690/5000][220/535][71002] Loss_D: -0.025243 Loss_G: 0.014785 Loss_D_real: -0.016767 Loss_D_fake 0.008476
[690/5000][225/535][71003] Loss_D: -0.022563 Loss_G: -0.009306 Loss_D_real: -0.015774 Loss_D_fake 0.006788
[690/5000][230/535][71004] Loss_D: -0.022955 Loss_G: 0.017630 Loss_D_real: -0.025592 Loss_D_fake -0.002637
[690/5000][235/535][71005] Loss_D: -0.024774 Loss_G: 0.001113 Loss_D_real: -0.015957 Loss_D_fake 0.008817
[690/5000][240/535][71006] Loss_D: -0.023993 Loss_G: 0.018940 Loss_D_real: -0.030054 Loss_D_fake -0.006061
[690/5000][245/535][71007] Loss_D: -0.024903 Loss_G: 0.020335 Loss_D_real: -0.030128 Loss_D_fake -0.005225
[690/5000][250/535][71008] Loss_D: -0.025173 Loss_G: 0.002937 Loss_D_real: 0.002547 Loss_D_fake 0.027720
[690/5000][255/535][71009] Loss_D: -0.024151 Loss_G: 0.011067 Loss_D_real: -0.022986 Loss_D_fake 0.001165
[690/5000][260/535][71010] Loss_D: -0.022780 Loss_G: -0.004114 Loss_D_real: -0.000099 Loss_D_fake 0.022680
[690/5000][265/535][71011] Loss_D: -0.024449 Loss_G: 0.019345 Loss_D_real: -0.032495 Loss_D_fake -0.008046
[690/5000][270/535][71012] Loss_D: -0.023414 Loss_G: 0.027112 Loss_D_real: -0.034005 Loss_D_fake -0.010591
[690/5000][275/535][71013] Loss_D: -0.023698 Loss_G: -0.002840 Loss_D_real: -0.012039 Loss_D_fake 0.011659
[690/5000][280/535][71014] Loss_D: -0.023649 Loss_G: 0.020740 Loss_D_real: -0.033103 Loss_D_fake -0.009455
[690/5000][285/535][71015] Loss_D: -0.024667 Loss_G: 0.014557 Loss_D_real: -0.028272 Loss_D_fake -0.003606
[690/5000][290/535][71016] Loss_D: -0.024314 Loss_G: 0.006595 Loss_D_real: -0.010941 Loss_D_fake 0.013372
[690/5000][295/535][71017] Loss_D: -0.025689 Loss_G: 0.007880 Loss_D_real: -0.020068 Loss_D_fake 0.005622
[690/5000][300/535][71018] Loss_D: -0.023702 Loss_G: -0.015839 Loss_D_real: -0.005773 Loss_D_fake 0.017929
[690/5000][305/535][71019] Loss_D: -0.022467 Loss_G: 0.030103 Loss_D_real: -0.030104 Loss_D_fake -0.007637
[690/5000][310/535][71020] Loss_D: -0.023883 Loss_G: 0.020587 Loss_D_real: -0.025458 Loss_D_fake -0.001575
[690/5000][315/535][71021] Loss_D: -0.024749 Loss_G: 0.015678 Loss_D_real: -0.022295 Loss_D_fake 0.002454
[690/5000][320/535][71022] Loss_D: -0.024452 Loss_G: -0.003914 Loss_D_real: -0.004128 Loss_D_fake 0.020325
[690/5000][325/535][71023] Loss_D: -0.023544 Loss_G: 0.011677 Loss_D_real: -0.021756 Loss_D_fake 0.001788
[690/5000][330/535][71024] Loss_D: -0.024152 Loss_G: 0.011493 Loss_D_real: -0.009005 Loss_D_fake 0.015147
[690/5000][335/535][71025] Loss_D: -0.024509 Loss_G: -0.001878 Loss_D_real: -0.009219 Loss_D_fake 0.015290
[690/5000][340/535][71026] Loss_D: -0.024582 Loss_G: 0.007774 Loss_D_real: -0.013190 Loss_D_fake 0.011392
[690/5000][345/535][71027] Loss_D: -0.023702 Loss_G: 0.016730 Loss_D_real: -0.012720 Loss_D_fake 0.010982
[690/5000][350/535][71028] Loss_D: -0.023601 Loss_G: -0.005079 Loss_D_real: -0.003612 Loss_D_fake 0.019988
[690/5000][355/535][71029] Loss_D: -0.022975 Loss_G: 0.010087 Loss_D_real: -0.011011 Loss_D_fake 0.011964
[690/5000][360/535][71030] Loss_D: -0.024774 Loss_G: 0.024829 Loss_D_real: -0.030215 Loss_D_fake -0.005440
[690/5000][365/535][71031] Loss_D: -0.024067 Loss_G: 0.004412 Loss_D_real: -0.011332 Loss_D_fake 0.012735
[690/5000][370/535][71032] Loss_D: -0.023843 Loss_G: 0.021128 Loss_D_real: -0.023922 Loss_D_fake -0.000079
[690/5000][375/535][71033] Loss_D: -0.024787 Loss_G: 0.010646 Loss_D_real: -0.016869 Loss_D_fake 0.007918
[690/5000][380/535][71034] Loss_D: -0.024779 Loss_G: -0.000404 Loss_D_real: -0.006849 Loss_D_fake 0.017931
[690/5000][385/535][71035] Loss_D: -0.024191 Loss_G: 0.030320 Loss_D_real: -0.025018 Loss_D_fake -0.000827
[690/5000][390/535][71036] Loss_D: -0.024314 Loss_G: 0.000278 Loss_D_real: -0.007891 Loss_D_fake 0.016423
[690/5000][395/535][71037] Loss_D: -0.025035 Loss_G: -0.001908 Loss_D_real: -0.018809 Loss_D_fake 0.006226
[690/5000][400/535][71038] Loss_D: -0.022955 Loss_G: 0.007621 Loss_D_real: -0.008881 Loss_D_fake 0.014074
[690/5000][405/535][71039] Loss_D: -0.023968 Loss_G: -0.007656 Loss_D_real: -0.009536 Loss_D_fake 0.014431
[690/5000][410/535][71040] Loss_D: -0.023394 Loss_G: 0.007618 Loss_D_real: -0.034405 Loss_D_fake -0.011010
[690/5000][415/535][71041] Loss_D: -0.024280 Loss_G: 0.004736 Loss_D_real: -0.018266 Loss_D_fake 0.006015
[690/5000][420/535][71042] Loss_D: -0.024506 Loss_G: 0.012723 Loss_D_real: -0.023817 Loss_D_fake 0.000689
[690/5000][425/535][71043] Loss_D: -0.023636 Loss_G: 0.006407 Loss_D_real: -0.012990 Loss_D_fake 0.010647
[690/5000][430/535][71044] Loss_D: -0.023781 Loss_G: 0.008495 Loss_D_real: -0.026209 Loss_D_fake -0.002428
[690/5000][435/535][71045] Loss_D: -0.022832 Loss_G: 0.031656 Loss_D_real: -0.022878 Loss_D_fake -0.000046
[690/5000][440/535][71046] Loss_D: -0.022718 Loss_G: 0.005927 Loss_D_real: -0.011084 Loss_D_fake 0.011635
[690/5000][445/535][71047] Loss_D: -0.024462 Loss_G: -0.000496 Loss_D_real: -0.012581 Loss_D_fake 0.011881
[690/5000][450/535][71048] Loss_D: -0.024173 Loss_G: 0.006987 Loss_D_real: -0.024994 Loss_D_fake -0.000821
[690/5000][455/535][71049] Loss_D: -0.023500 Loss_G: -0.009051 Loss_D_real: -0.001719 Loss_D_fake 0.021781
[690/5000][460/535][71050] Loss_D: -0.024183 Loss_G: -0.002459 Loss_D_real: -0.012897 Loss_D_fake 0.011286
[690/5000][465/535][71051] Loss_D: -0.024037 Loss_G: 0.024152 Loss_D_real: -0.017637 Loss_D_fake 0.006400
[690/5000][470/535][71052] Loss_D: -0.023613 Loss_G: -0.002631 Loss_D_real: -0.010395 Loss_D_fake 0.013218
[690/5000][475/535][71053] Loss_D: -0.024580 Loss_G: 0.001663 Loss_D_real: -0.003268 Loss_D_fake 0.021313
[690/5000][480/535][71054] Loss_D: -0.023958 Loss_G: -0.001548 Loss_D_real: -0.004659 Loss_D_fake 0.019299
[690/5000][485/535][71055] Loss_D: -0.022965 Loss_G: 0.009976 Loss_D_real: -0.013025 Loss_D_fake 0.009940
[690/5000][490/535][71056] Loss_D: -0.024887 Loss_G: 0.000152 Loss_D_real: -0.015689 Loss_D_fake 0.009198
[690/5000][495/535][71057] Loss_D: -0.023355 Loss_G: -0.001069 Loss_D_real: -0.020868 Loss_D_fake 0.002487
[690/5000][500/535][71058] Loss_D: -0.025204 Loss_G: 0.016972 Loss_D_real: -0.018059 Loss_D_fake 0.007146
[690/5000][505/535][71059] Loss_D: -0.025399 Loss_G: -0.001286 Loss_D_real: -0.003457 Loss_D_fake 0.021941
[690/5000][510/535][71060] Loss_D: -0.024879 Loss_G: 0.014662 Loss_D_real: -0.013622 Loss_D_fake 0.011257
[690/5000][515/535][71061] Loss_D: -0.023677 Loss_G: 0.034277 Loss_D_real: -0.039219 Loss_D_fake -0.015542
[690/5000][520/535][71062] Loss_D: -0.024973 Loss_G: 0.002533 Loss_D_real: -0.011315 Loss_D_fake 0.013658
[690/5000][525/535][71063] Loss_D: -0.024304 Loss_G: -0.003387 Loss_D_real: -0.013812 Loss_D_fake 0.010493
[690/5000][530/535][71064] Loss_D: -0.024972 Loss_G: 0.015699 Loss_D_real: -0.018353 Loss_D_fake 0.006619
[690/5000][535/535][71065] Loss_D: -0.024319 Loss_G: -0.015993 Loss_D_real: -0.002372 Loss_D_fake 0.021947
[691/5000][5/535][71066] Loss_D: -0.024729 Loss_G: 0.010094 Loss_D_real: -0.027586 Loss_D_fake -0.002857
[691/5000][10/535][71067] Loss_D: -0.025297 Loss_G: 0.012182 Loss_D_real: -0.017403 Loss_D_fake 0.007894
[691/5000][15/535][71068] Loss_D: -0.025456 Loss_G: 0.001307 Loss_D_real: -0.012519 Loss_D_fake 0.012937
[691/5000][20/535][71069] Loss_D: -0.024620 Loss_G: 0.004972 Loss_D_real: -0.007776 Loss_D_fake 0.016845
[691/5000][25/535][71070] Loss_D: -0.023633 Loss_G: -0.003775 Loss_D_real: -0.011376 Loss_D_fake 0.012258
[691/5000][30/535][71071] Loss_D: -0.023797 Loss_G: 0.005805 Loss_D_real: -0.015654 Loss_D_fake 0.008143
[691/5000][35/535][71072] Loss_D: -0.024040 Loss_G: 0.015630 Loss_D_real: -0.020255 Loss_D_fake 0.003785
[691/5000][40/535][71073] Loss_D: -0.024553 Loss_G: 0.021283 Loss_D_real: -0.029229 Loss_D_fake -0.004676
[691/5000][45/535][71074] Loss_D: -0.024113 Loss_G: 0.027899 Loss_D_real: -0.032518 Loss_D_fake -0.008404
[691/5000][50/535][71075] Loss_D: -0.024670 Loss_G: -0.001745 Loss_D_real: -0.026037 Loss_D_fake -0.001367
[691/5000][55/535][71076] Loss_D: -0.022231 Loss_G: 0.025038 Loss_D_real: -0.029659 Loss_D_fake -0.007428
[691/5000][60/535][71077] Loss_D: -0.023138 Loss_G: 0.010615 Loss_D_real: -0.016306 Loss_D_fake 0.006832
[691/5000][65/535][71078] Loss_D: -0.023939 Loss_G: 0.014617 Loss_D_real: -0.022586 Loss_D_fake 0.001353
[691/5000][70/535][71079] Loss_D: -0.024203 Loss_G: -0.006920 Loss_D_real: -0.020071 Loss_D_fake 0.004131
[691/5000][75/535][71080] Loss_D: -0.023921 Loss_G: 0.002943 Loss_D_real: -0.012062 Loss_D_fake 0.011859
[691/5000][80/535][71081] Loss_D: -0.025677 Loss_G: 0.004507 Loss_D_real: -0.007450 Loss_D_fake 0.018227
[691/5000][85/535][71082] Loss_D: -0.025477 Loss_G: 0.017219 Loss_D_real: -0.023045 Loss_D_fake 0.002432
[691/5000][90/535][71083] Loss_D: -0.024497 Loss_G: -0.001755 Loss_D_real: -0.009446 Loss_D_fake 0.015051
[691/5000][95/535][71084] Loss_D: -0.025634 Loss_G: 0.025857 Loss_D_real: -0.024560 Loss_D_fake 0.001074
[691/5000][100/535][71085] Loss_D: -0.026013 Loss_G: 0.007170 Loss_D_real: -0.007076 Loss_D_fake 0.018937
[691/5000][105/535][71086] Loss_D: -0.025333 Loss_G: 0.018871 Loss_D_real: -0.024718 Loss_D_fake 0.000615
[691/5000][110/535][71087] Loss_D: -0.024874 Loss_G: 0.017152 Loss_D_real: -0.025270 Loss_D_fake -0.000397
[691/5000][115/535][71088] Loss_D: -0.024741 Loss_G: 0.010745 Loss_D_real: -0.010878 Loss_D_fake 0.013862
[691/5000][120/535][71089] Loss_D: -0.024556 Loss_G: -0.002341 Loss_D_real: -0.003641 Loss_D_fake 0.020915
[691/5000][125/535][71090] Loss_D: -0.024293 Loss_G: 0.017652 Loss_D_real: -0.023221 Loss_D_fake 0.001072
[691/5000][130/535][71091] Loss_D: -0.025613 Loss_G: 0.007242 Loss_D_real: -0.006058 Loss_D_fake 0.019555
[691/5000][135/535][71092] Loss_D: -0.024178 Loss_G: 0.000120 Loss_D_real: -0.012234 Loss_D_fake 0.011944
[691/5000][140/535][71093] Loss_D: -0.024186 Loss_G: 0.014527 Loss_D_real: -0.019417 Loss_D_fake 0.004769
[691/5000][145/535][71094] Loss_D: -0.025211 Loss_G: 0.007768 Loss_D_real: -0.027139 Loss_D_fake -0.001928
[691/5000][150/535][71095] Loss_D: -0.023560 Loss_G: 0.019863 Loss_D_real: -0.021201 Loss_D_fake 0.002358
[691/5000][155/535][71096] Loss_D: -0.023898 Loss_G: 0.012622 Loss_D_real: -0.021993 Loss_D_fake 0.001904
[691/5000][160/535][71097] Loss_D: -0.023535 Loss_G: 0.011198 Loss_D_real: -0.004286 Loss_D_fake 0.019249
[691/5000][165/535][71098] Loss_D: -0.023932 Loss_G: 0.021235 Loss_D_real: -0.021607 Loss_D_fake 0.002325
[691/5000][170/535][71099] Loss_D: -0.024180 Loss_G: -0.004352 Loss_D_real: -0.017106 Loss_D_fake 0.007073
[691/5000][175/535][71100] Loss_D: -0.023518 Loss_G: 0.025792 Loss_D_real: -0.026321 Loss_D_fake -0.002803
[691/5000][180/535][71101] Loss_D: -0.024851 Loss_G: -0.002418 Loss_D_real: -0.010141 Loss_D_fake 0.014710
[691/5000][185/535][71102] Loss_D: -0.024864 Loss_G: 0.010729 Loss_D_real: -0.026607 Loss_D_fake -0.001743
[691/5000][190/535][71103] Loss_D: -0.024143 Loss_G: 0.014953 Loss_D_real: -0.029293 Loss_D_fake -0.005150
[691/5000][195/535][71104] Loss_D: -0.026523 Loss_G: 0.001524 Loss_D_real: -0.011717 Loss_D_fake 0.014806
[691/5000][200/535][71105] Loss_D: -0.024067 Loss_G: 0.037983 Loss_D_real: -0.032273 Loss_D_fake -0.008206
[691/5000][205/535][71106] Loss_D: -0.024737 Loss_G: -0.004541 Loss_D_real: -0.007870 Loss_D_fake 0.016867
[691/5000][210/535][71107] Loss_D: -0.024729 Loss_G: 0.013062 Loss_D_real: -0.018555 Loss_D_fake 0.006173
[691/5000][215/535][71108] Loss_D: -0.025246 Loss_G: 0.020042 Loss_D_real: -0.027112 Loss_D_fake -0.001866
[691/5000][220/535][71109] Loss_D: -0.025474 Loss_G: -0.006839 Loss_D_real: -0.010757 Loss_D_fake 0.014717
[691/5000][225/535][71110] Loss_D: -0.024373 Loss_G: 0.026201 Loss_D_real: -0.035374 Loss_D_fake -0.011001
[691/5000][230/535][71111] Loss_D: -0.025454 Loss_G: 0.014430 Loss_D_real: -0.023888 Loss_D_fake 0.001566
[691/5000][235/535][71112] Loss_D: -0.024985 Loss_G: 0.010589 Loss_D_real: -0.022941 Loss_D_fake 0.002043
[691/5000][240/535][71113] Loss_D: -0.025090 Loss_G: 0.011953 Loss_D_real: -0.011524 Loss_D_fake 0.013566
[691/5000][245/535][71114] Loss_D: -0.025338 Loss_G: 0.009901 Loss_D_real: -0.016736 Loss_D_fake 0.008602
[691/5000][250/535][71115] Loss_D: -0.023311 Loss_G: 0.025925 Loss_D_real: -0.028156 Loss_D_fake -0.004845
[691/5000][255/535][71116] Loss_D: -0.023541 Loss_G: 0.005425 Loss_D_real: -0.003967 Loss_D_fake 0.019574
[691/5000][260/535][71117] Loss_D: -0.024764 Loss_G: 0.002349 Loss_D_real: -0.019553 Loss_D_fake 0.005211
[691/5000][265/535][71118] Loss_D: -0.024410 Loss_G: -0.004634 Loss_D_real: -0.012694 Loss_D_fake 0.011716
[691/5000][270/535][71119] Loss_D: -0.024258 Loss_G: 0.014295 Loss_D_real: -0.022448 Loss_D_fake 0.001810
[691/5000][275/535][71120] Loss_D: -0.024067 Loss_G: 0.014333 Loss_D_real: -0.010369 Loss_D_fake 0.013698
[691/5000][280/535][71121] Loss_D: -0.021800 Loss_G: 0.016342 Loss_D_real: -0.028070 Loss_D_fake -0.006270
[691/5000][285/535][71122] Loss_D: -0.024525 Loss_G: 0.006749 Loss_D_real: -0.015034 Loss_D_fake 0.009491
[691/5000][290/535][71123] Loss_D: -0.023166 Loss_G: 0.015089 Loss_D_real: -0.018653 Loss_D_fake 0.004513
[691/5000][295/535][71124] Loss_D: -0.024329 Loss_G: -0.001283 Loss_D_real: -0.006026 Loss_D_fake 0.018302
[691/5000][300/535][71125] Loss_D: -0.023659 Loss_G: -0.001003 Loss_D_real: -0.017379 Loss_D_fake 0.006281
[691/5000][305/535][71126] Loss_D: -0.024379 Loss_G: -0.002776 Loss_D_real: -0.005170 Loss_D_fake 0.019209
[691/5000][310/535][71127] Loss_D: -0.023331 Loss_G: 0.020913 Loss_D_real: -0.024101 Loss_D_fake -0.000770
[691/5000][315/535][71128] Loss_D: -0.024794 Loss_G: 0.016178 Loss_D_real: -0.023051 Loss_D_fake 0.001743
[691/5000][320/535][71129] Loss_D: -0.025460 Loss_G: 0.004865 Loss_D_real: -0.008941 Loss_D_fake 0.016519
[691/5000][325/535][71130] Loss_D: -0.024363 Loss_G: 0.025643 Loss_D_real: -0.028825 Loss_D_fake -0.004463
[691/5000][330/535][71131] Loss_D: -0.023226 Loss_G: 0.014776 Loss_D_real: -0.017003 Loss_D_fake 0.006223
[691/5000][335/535][71132] Loss_D: -0.024409 Loss_G: -0.009398 Loss_D_real: -0.009347 Loss_D_fake 0.015062
[691/5000][340/535][71133] Loss_D: -0.024357 Loss_G: 0.015676 Loss_D_real: -0.020896 Loss_D_fake 0.003461
[691/5000][345/535][71134] Loss_D: -0.023989 Loss_G: 0.000092 Loss_D_real: -0.006301 Loss_D_fake 0.017688
[691/5000][350/535][71135] Loss_D: -0.022502 Loss_G: 0.012260 Loss_D_real: -0.022663 Loss_D_fake -0.000161
[691/5000][355/535][71136] Loss_D: -0.023556 Loss_G: -0.007172 Loss_D_real: -0.004312 Loss_D_fake 0.019244
[691/5000][360/535][71137] Loss_D: -0.022327 Loss_G: 0.030470 Loss_D_real: -0.041692 Loss_D_fake -0.019365
[691/5000][365/535][71138] Loss_D: -0.024182 Loss_G: 0.006184 Loss_D_real: -0.012985 Loss_D_fake 0.011198
[691/5000][370/535][71139] Loss_D: -0.024929 Loss_G: -0.005131 Loss_D_real: -0.003637 Loss_D_fake 0.021292
[691/5000][375/535][71140] Loss_D: -0.024480 Loss_G: 0.016677 Loss_D_real: -0.020589 Loss_D_fake 0.003890
[691/5000][380/535][71141] Loss_D: -0.023818 Loss_G: -0.005300 Loss_D_real: 0.001528 Loss_D_fake 0.025346
[691/5000][385/535][71142] Loss_D: -0.023835 Loss_G: 0.021189 Loss_D_real: -0.010258 Loss_D_fake 0.013577
[691/5000][390/535][71143] Loss_D: -0.024506 Loss_G: 0.008806 Loss_D_real: -0.006977 Loss_D_fake 0.017529
[691/5000][395/535][71144] Loss_D: -0.022255 Loss_G: 0.015727 Loss_D_real: -0.039438 Loss_D_fake -0.017183
[691/5000][400/535][71145] Loss_D: -0.024095 Loss_G: 0.008088 Loss_D_real: -0.018189 Loss_D_fake 0.005906
[691/5000][405/535][71146] Loss_D: -0.024189 Loss_G: 0.022670 Loss_D_real: -0.028572 Loss_D_fake -0.004383
[691/5000][410/535][71147] Loss_D: -0.025483 Loss_G: 0.009157 Loss_D_real: -0.013554 Loss_D_fake 0.011929
[691/5000][415/535][71148] Loss_D: -0.023524 Loss_G: -0.006036 Loss_D_real: -0.006941 Loss_D_fake 0.016583
[691/5000][420/535][71149] Loss_D: -0.024873 Loss_G: 0.015135 Loss_D_real: -0.027270 Loss_D_fake -0.002397
[691/5000][425/535][71150] Loss_D: -0.024127 Loss_G: 0.015205 Loss_D_real: -0.026568 Loss_D_fake -0.002440
[691/5000][430/535][71151] Loss_D: -0.023844 Loss_G: -0.011933 Loss_D_real: -0.002499 Loss_D_fake 0.021345
[691/5000][435/535][71152] Loss_D: -0.023720 Loss_G: 0.014397 Loss_D_real: -0.006904 Loss_D_fake 0.016816
[691/5000][440/535][71153] Loss_D: -0.022104 Loss_G: 0.030297 Loss_D_real: -0.024095 Loss_D_fake -0.001991
[691/5000][445/535][71154] Loss_D: -0.023498 Loss_G: 0.012890 Loss_D_real: -0.025807 Loss_D_fake -0.002309
[691/5000][450/535][71155] Loss_D: -0.022952 Loss_G: 0.013425 Loss_D_real: -0.029731 Loss_D_fake -0.006779
[691/5000][455/535][71156] Loss_D: -0.024221 Loss_G: 0.007751 Loss_D_real: -0.009950 Loss_D_fake 0.014271
[691/5000][460/535][71157] Loss_D: -0.023945 Loss_G: 0.018354 Loss_D_real: -0.021100 Loss_D_fake 0.002845
[691/5000][465/535][71158] Loss_D: -0.025401 Loss_G: -0.000029 Loss_D_real: -0.005664 Loss_D_fake 0.019736
[691/5000][470/535][71159] Loss_D: -0.024791 Loss_G: -0.004018 Loss_D_real: -0.014626 Loss_D_fake 0.010165
[691/5000][475/535][71160] Loss_D: -0.025800 Loss_G: 0.001954 Loss_D_real: -0.018090 Loss_D_fake 0.007709
[691/5000][480/535][71161] Loss_D: -0.025745 Loss_G: 0.009203 Loss_D_real: -0.010362 Loss_D_fake 0.015383
[691/5000][485/535][71162] Loss_D: -0.024650 Loss_G: 0.003011 Loss_D_real: -0.015099 Loss_D_fake 0.009550
[691/5000][490/535][71163] Loss_D: -0.023990 Loss_G: 0.000613 Loss_D_real: -0.013517 Loss_D_fake 0.010473
[691/5000][495/535][71164] Loss_D: -0.023333 Loss_G: -0.007940 Loss_D_real: -0.008960 Loss_D_fake 0.014373
[691/5000][500/535][71165] Loss_D: -0.024379 Loss_G: 0.033049 Loss_D_real: -0.022785 Loss_D_fake 0.001594
[691/5000][505/535][71166] Loss_D: -0.023579 Loss_G: 0.000658 Loss_D_real: -0.015669 Loss_D_fake 0.007910
[691/5000][510/535][71167] Loss_D: -0.023680 Loss_G: 0.016676 Loss_D_real: -0.021473 Loss_D_fake 0.002206
[691/5000][515/535][71168] Loss_D: -0.023803 Loss_G: 0.014688 Loss_D_real: -0.028744 Loss_D_fake -0.004941
[691/5000][520/535][71169] Loss_D: -0.025058 Loss_G: -0.001037 Loss_D_real: -0.015259 Loss_D_fake 0.009799
[691/5000][525/535][71170] Loss_D: -0.025245 Loss_G: 0.014180 Loss_D_real: -0.015811 Loss_D_fake 0.009433
[691/5000][530/535][71171] Loss_D: -0.024997 Loss_G: 0.013415 Loss_D_real: -0.005627 Loss_D_fake 0.019370
[691/5000][535/535][71172] Loss_D: -0.023183 Loss_G: -0.002080 Loss_D_real: -0.015626 Loss_D_fake 0.007557
[692/5000][5/535][71173] Loss_D: -0.024927 Loss_G: 0.001120 Loss_D_real: -0.024516 Loss_D_fake 0.000411
[692/5000][10/535][71174] Loss_D: -0.024857 Loss_G: 0.016266 Loss_D_real: -0.026490 Loss_D_fake -0.001633
[692/5000][15/535][71175] Loss_D: -0.023594 Loss_G: -0.008234 Loss_D_real: -0.000913 Loss_D_fake 0.022680
[692/5000][20/535][71176] Loss_D: -0.022920 Loss_G: 0.028560 Loss_D_real: -0.021151 Loss_D_fake 0.001769
[692/5000][25/535][71177] Loss_D: -0.022551 Loss_G: 0.006214 Loss_D_real: -0.022216 Loss_D_fake 0.000335
[692/5000][30/535][71178] Loss_D: -0.024151 Loss_G: 0.024941 Loss_D_real: -0.024887 Loss_D_fake -0.000736
[692/5000][35/535][71179] Loss_D: -0.022349 Loss_G: 0.025910 Loss_D_real: -0.029768 Loss_D_fake -0.007419
[692/5000][40/535][71180] Loss_D: -0.024890 Loss_G: 0.007085 Loss_D_real: -0.010339 Loss_D_fake 0.014551
[692/5000][45/535][71181] Loss_D: -0.025726 Loss_G: 0.015011 Loss_D_real: -0.022135 Loss_D_fake 0.003591
[692/5000][50/535][71182] Loss_D: -0.024446 Loss_G: 0.024278 Loss_D_real: -0.027905 Loss_D_fake -0.003459
[692/5000][55/535][71183] Loss_D: -0.026486 Loss_G: -0.006606 Loss_D_real: -0.011962 Loss_D_fake 0.014525
[692/5000][60/535][71184] Loss_D: -0.023524 Loss_G: 0.008122 Loss_D_real: -0.015192 Loss_D_fake 0.008332
[692/5000][65/535][71185] Loss_D: -0.025242 Loss_G: 0.001361 Loss_D_real: -0.020447 Loss_D_fake 0.004794
[692/5000][70/535][71186] Loss_D: -0.023816 Loss_G: 0.012021 Loss_D_real: -0.016396 Loss_D_fake 0.007420
[692/5000][75/535][71187] Loss_D: -0.025925 Loss_G: 0.001510 Loss_D_real: -0.014099 Loss_D_fake 0.011827
[692/5000][80/535][71188] Loss_D: -0.024524 Loss_G: 0.007483 Loss_D_real: -0.025153 Loss_D_fake -0.000629
[692/5000][85/535][71189] Loss_D: -0.023417 Loss_G: 0.019285 Loss_D_real: -0.026722 Loss_D_fake -0.003305
[692/5000][90/535][71190] Loss_D: -0.024755 Loss_G: 0.009984 Loss_D_real: -0.012665 Loss_D_fake 0.012090
[692/5000][95/535][71191] Loss_D: -0.024736 Loss_G: 0.000602 Loss_D_real: -0.016776 Loss_D_fake 0.007960
[692/5000][100/535][71192] Loss_D: -0.025219 Loss_G: -0.000232 Loss_D_real: -0.011559 Loss_D_fake 0.013660
[692/5000][105/535][71193] Loss_D: -0.024293 Loss_G: 0.023980 Loss_D_real: -0.025057 Loss_D_fake -0.000763
[692/5000][110/535][71194] Loss_D: -0.024461 Loss_G: 0.017994 Loss_D_real: -0.021637 Loss_D_fake 0.002824
[692/5000][115/535][71195] Loss_D: -0.023774 Loss_G: 0.021245 Loss_D_real: -0.027416 Loss_D_fake -0.003642
[692/5000][120/535][71196] Loss_D: -0.024261 Loss_G: 0.006913 Loss_D_real: -0.026977 Loss_D_fake -0.002716
[692/5000][125/535][71197] Loss_D: -0.025387 Loss_G: 0.025221 Loss_D_real: -0.025411 Loss_D_fake -0.000024
[692/5000][130/535][71198] Loss_D: -0.024215 Loss_G: 0.014433 Loss_D_real: -0.027129 Loss_D_fake -0.002914
[692/5000][135/535][71199] Loss_D: -0.025778 Loss_G: 0.015680 Loss_D_real: -0.019824 Loss_D_fake 0.005954
[692/5000][140/535][71200] Loss_D: -0.022408 Loss_G: -0.008643 Loss_D_real: 0.005335 Loss_D_fake 0.027744
[692/5000][145/535][71201] Loss_D: -0.024178 Loss_G: 0.025610 Loss_D_real: -0.028448 Loss_D_fake -0.004270
[692/5000][150/535][71202] Loss_D: -0.024105 Loss_G: 0.001443 Loss_D_real: -0.017356 Loss_D_fake 0.006749
[692/5000][155/535][71203] Loss_D: -0.023929 Loss_G: 0.011254 Loss_D_real: -0.025948 Loss_D_fake -0.002019
[692/5000][160/535][71204] Loss_D: -0.022767 Loss_G: 0.014089 Loss_D_real: -0.030489 Loss_D_fake -0.007721
[692/5000][165/535][71205] Loss_D: -0.024314 Loss_G: 0.027619 Loss_D_real: -0.024855 Loss_D_fake -0.000541
[692/5000][170/535][71206] Loss_D: -0.023982 Loss_G: 0.007129 Loss_D_real: -0.012994 Loss_D_fake 0.010988
[692/5000][175/535][71207] Loss_D: -0.023396 Loss_G: 0.014671 Loss_D_real: -0.012195 Loss_D_fake 0.011201
[692/5000][180/535][71208] Loss_D: -0.022116 Loss_G: 0.029007 Loss_D_real: -0.029040 Loss_D_fake -0.006924
[692/5000][185/535][71209] Loss_D: -0.020685 Loss_G: 0.027990 Loss_D_real: -0.024119 Loss_D_fake -0.003434
[692/5000][190/535][71210] Loss_D: -0.024624 Loss_G: 0.014173 Loss_D_real: -0.026544 Loss_D_fake -0.001920
[692/5000][195/535][71211] Loss_D: -0.023828 Loss_G: 0.009481 Loss_D_real: -0.013116 Loss_D_fake 0.010712
[692/5000][200/535][71212] Loss_D: -0.024481 Loss_G: 0.021314 Loss_D_real: -0.025287 Loss_D_fake -0.000806
[692/5000][205/535][71213] Loss_D: -0.024050 Loss_G: 0.019312 Loss_D_real: -0.031419 Loss_D_fake -0.007369
[692/5000][210/535][71214] Loss_D: -0.022827 Loss_G: 0.028951 Loss_D_real: -0.035522 Loss_D_fake -0.012695
[692/5000][215/535][71215] Loss_D: -0.023927 Loss_G: 0.006755 Loss_D_real: -0.016766 Loss_D_fake 0.007161
[692/5000][220/535][71216] Loss_D: -0.023577 Loss_G: 0.006274 Loss_D_real: -0.023161 Loss_D_fake 0.000416
[692/5000][225/535][71217] Loss_D: -0.025671 Loss_G: 0.010475 Loss_D_real: -0.024635 Loss_D_fake 0.001036
[692/5000][230/535][71218] Loss_D: -0.023752 Loss_G: 0.002217 Loss_D_real: -0.008119 Loss_D_fake 0.015633
[692/5000][235/535][71219] Loss_D: -0.024676 Loss_G: -0.002697 Loss_D_real: -0.014370 Loss_D_fake 0.010305
[692/5000][240/535][71220] Loss_D: -0.023704 Loss_G: 0.014530 Loss_D_real: -0.020210 Loss_D_fake 0.003494
[692/5000][245/535][71221] Loss_D: -0.025406 Loss_G: -0.001447 Loss_D_real: -0.019526 Loss_D_fake 0.005880
[692/5000][250/535][71222] Loss_D: -0.023893 Loss_G: 0.008054 Loss_D_real: -0.015256 Loss_D_fake 0.008637
[692/5000][255/535][71223] Loss_D: -0.024846 Loss_G: 0.012760 Loss_D_real: -0.019129 Loss_D_fake 0.005716
[692/5000][260/535][71224] Loss_D: -0.023643 Loss_G: 0.001578 Loss_D_real: -0.020234 Loss_D_fake 0.003409
[692/5000][265/535][71225] Loss_D: -0.022803 Loss_G: -0.015914 Loss_D_real: -0.001127 Loss_D_fake 0.021677
[692/5000][270/535][71226] Loss_D: -0.024728 Loss_G: 0.021983 Loss_D_real: -0.026491 Loss_D_fake -0.001763
[692/5000][275/535][71227] Loss_D: -0.024520 Loss_G: 0.003208 Loss_D_real: -0.012287 Loss_D_fake 0.012233
[692/5000][280/535][71228] Loss_D: -0.023444 Loss_G: 0.034026 Loss_D_real: -0.037721 Loss_D_fake -0.014277
[692/5000][285/535][71229] Loss_D: -0.022996 Loss_G: -0.006990 Loss_D_real: 0.000883 Loss_D_fake 0.023879
[692/5000][290/535][71230] Loss_D: -0.025835 Loss_G: 0.003216 Loss_D_real: -0.017326 Loss_D_fake 0.008509
[692/5000][295/535][71231] Loss_D: -0.025227 Loss_G: 0.019286 Loss_D_real: -0.028068 Loss_D_fake -0.002840
[692/5000][300/535][71232] Loss_D: -0.024153 Loss_G: -0.002889 Loss_D_real: -0.015493 Loss_D_fake 0.008661
[692/5000][305/535][71233] Loss_D: -0.023652 Loss_G: -0.009903 Loss_D_real: -0.003674 Loss_D_fake 0.019978
[692/5000][310/535][71234] Loss_D: -0.024732 Loss_G: 0.013999 Loss_D_real: -0.019248 Loss_D_fake 0.005484
[692/5000][315/535][71235] Loss_D: -0.025457 Loss_G: 0.004568 Loss_D_real: -0.014513 Loss_D_fake 0.010944
[692/5000][320/535][71236] Loss_D: -0.023302 Loss_G: 0.019528 Loss_D_real: -0.025375 Loss_D_fake -0.002073
[692/5000][325/535][71237] Loss_D: -0.023330 Loss_G: 0.020219 Loss_D_real: -0.018584 Loss_D_fake 0.004746
[692/5000][330/535][71238] Loss_D: -0.023028 Loss_G: 0.010960 Loss_D_real: -0.018576 Loss_D_fake 0.004452
[692/5000][335/535][71239] Loss_D: -0.024348 Loss_G: 0.012232 Loss_D_real: -0.029863 Loss_D_fake -0.005515
[692/5000][340/535][71240] Loss_D: -0.024495 Loss_G: 0.010913 Loss_D_real: -0.021910 Loss_D_fake 0.002585
[692/5000][345/535][71241] Loss_D: -0.022866 Loss_G: -0.002955 Loss_D_real: -0.008845 Loss_D_fake 0.014021
[692/5000][350/535][71242] Loss_D: -0.023672 Loss_G: -0.007068 Loss_D_real: -0.023582 Loss_D_fake 0.000089
[692/5000][355/535][71243] Loss_D: -0.023681 Loss_G: 0.022498 Loss_D_real: -0.026549 Loss_D_fake -0.002867
[692/5000][360/535][71244] Loss_D: -0.023895 Loss_G: 0.024346 Loss_D_real: -0.029367 Loss_D_fake -0.005472
[692/5000][365/535][71245] Loss_D: -0.024295 Loss_G: 0.014243 Loss_D_real: -0.018853 Loss_D_fake 0.005442
[692/5000][370/535][71246] Loss_D: -0.024355 Loss_G: 0.000373 Loss_D_real: -0.001539 Loss_D_fake 0.022817
[692/5000][375/535][71247] Loss_D: -0.025334 Loss_G: 0.008190 Loss_D_real: -0.015176 Loss_D_fake 0.010158
[692/5000][380/535][71248] Loss_D: -0.022989 Loss_G: 0.009954 Loss_D_real: -0.016205 Loss_D_fake 0.006785
[692/5000][385/535][71249] Loss_D: -0.024040 Loss_G: 0.023876 Loss_D_real: -0.025946 Loss_D_fake -0.001906
[692/5000][390/535][71250] Loss_D: -0.025421 Loss_G: 0.019536 Loss_D_real: -0.025246 Loss_D_fake 0.000175
[692/5000][395/535][71251] Loss_D: -0.023216 Loss_G: -0.004890 Loss_D_real: -0.006618 Loss_D_fake 0.016598
[692/5000][400/535][71252] Loss_D: -0.024437 Loss_G: 0.007928 Loss_D_real: -0.007754 Loss_D_fake 0.016683
[692/5000][405/535][71253] Loss_D: -0.022389 Loss_G: 0.028958 Loss_D_real: -0.036047 Loss_D_fake -0.013659
[692/5000][410/535][71254] Loss_D: -0.024765 Loss_G: -0.003318 Loss_D_real: -0.014947 Loss_D_fake 0.009819
[692/5000][415/535][71255] Loss_D: -0.022865 Loss_G: 0.017107 Loss_D_real: -0.027946 Loss_D_fake -0.005081
[692/5000][420/535][71256] Loss_D: -0.023438 Loss_G: 0.012345 Loss_D_real: -0.008676 Loss_D_fake 0.014762
[692/5000][425/535][71257] Loss_D: -0.024829 Loss_G: 0.011756 Loss_D_real: -0.015203 Loss_D_fake 0.009625
[692/5000][430/535][71258] Loss_D: -0.024411 Loss_G: 0.019469 Loss_D_real: -0.014541 Loss_D_fake 0.009870
[692/5000][435/535][71259] Loss_D: -0.023450 Loss_G: -0.012590 Loss_D_real: 0.001828 Loss_D_fake 0.025277
[692/5000][440/535][71260] Loss_D: -0.024496 Loss_G: 0.011530 Loss_D_real: -0.016953 Loss_D_fake 0.007543
[692/5000][445/535][71261] Loss_D: -0.022546 Loss_G: 0.023084 Loss_D_real: -0.016268 Loss_D_fake 0.006278
[692/5000][450/535][71262] Loss_D: -0.023566 Loss_G: 0.006374 Loss_D_real: -0.018017 Loss_D_fake 0.005549
[692/5000][455/535][71263] Loss_D: -0.024799 Loss_G: 0.016486 Loss_D_real: -0.004329 Loss_D_fake 0.020470
[692/5000][460/535][71264] Loss_D: -0.021606 Loss_G: 0.025550 Loss_D_real: -0.029937 Loss_D_fake -0.008332
[692/5000][465/535][71265] Loss_D: -0.024399 Loss_G: 0.005852 Loss_D_real: -0.024634 Loss_D_fake -0.000235
[692/5000][470/535][71266] Loss_D: -0.023882 Loss_G: 0.017689 Loss_D_real: -0.009867 Loss_D_fake 0.014014
[692/5000][475/535][71267] Loss_D: -0.022825 Loss_G: 0.013279 Loss_D_real: -0.020542 Loss_D_fake 0.002283
[692/5000][480/535][71268] Loss_D: -0.024661 Loss_G: 0.002834 Loss_D_real: -0.012526 Loss_D_fake 0.012135
[692/5000][485/535][71269] Loss_D: -0.024437 Loss_G: 0.013501 Loss_D_real: -0.018154 Loss_D_fake 0.006283
[692/5000][490/535][71270] Loss_D: -0.024275 Loss_G: -0.016058 Loss_D_real: -0.005301 Loss_D_fake 0.018974
[692/5000][495/535][71271] Loss_D: -0.022270 Loss_G: 0.017135 Loss_D_real: -0.025826 Loss_D_fake -0.003557
[692/5000][500/535][71272] Loss_D: -0.024216 Loss_G: 0.016401 Loss_D_real: -0.020451 Loss_D_fake 0.003765
[692/5000][505/535][71273] Loss_D: -0.024544 Loss_G: -0.001891 Loss_D_real: -0.014077 Loss_D_fake 0.010466
[692/5000][510/535][71274] Loss_D: -0.025123 Loss_G: 0.012428 Loss_D_real: -0.020964 Loss_D_fake 0.004158
[692/5000][515/535][71275] Loss_D: -0.024171 Loss_G: 0.010897 Loss_D_real: -0.012798 Loss_D_fake 0.011374
[692/5000][520/535][71276] Loss_D: -0.024135 Loss_G: 0.012341 Loss_D_real: -0.032969 Loss_D_fake -0.008834
[692/5000][525/535][71277] Loss_D: -0.023720 Loss_G: 0.010535 Loss_D_real: -0.026403 Loss_D_fake -0.002684
[692/5000][530/535][71278] Loss_D: -0.023194 Loss_G: -0.005121 Loss_D_real: -0.013514 Loss_D_fake 0.009680
[692/5000][535/535][71279] Loss_D: -0.021897 Loss_G: 0.009201 Loss_D_real: -0.013780 Loss_D_fake 0.008116
[693/5000][5/535][71280] Loss_D: -0.023076 Loss_G: 0.023642 Loss_D_real: -0.034049 Loss_D_fake -0.010972
[693/5000][10/535][71281] Loss_D: -0.024222 Loss_G: 0.007301 Loss_D_real: -0.013205 Loss_D_fake 0.011017
[693/5000][15/535][71282] Loss_D: -0.023734 Loss_G: -0.007446 Loss_D_real: -0.006982 Loss_D_fake 0.016751
[693/5000][20/535][71283] Loss_D: -0.025384 Loss_G: -0.001456 Loss_D_real: -0.015506 Loss_D_fake 0.009878
[693/5000][25/535][71284] Loss_D: -0.023821 Loss_G: 0.024665 Loss_D_real: -0.018760 Loss_D_fake 0.005061
[693/5000][30/535][71285] Loss_D: -0.023359 Loss_G: -0.014178 Loss_D_real: -0.003301 Loss_D_fake 0.020058
[693/5000][35/535][71286] Loss_D: -0.023965 Loss_G: 0.015745 Loss_D_real: -0.020572 Loss_D_fake 0.003393
[693/5000][40/535][71287] Loss_D: -0.025292 Loss_G: -0.011202 Loss_D_real: -0.010346 Loss_D_fake 0.014946
[693/5000][45/535][71288] Loss_D: -0.024260 Loss_G: 0.022237 Loss_D_real: -0.027406 Loss_D_fake -0.003146
[693/5000][50/535][71289] Loss_D: -0.024723 Loss_G: -0.008716 Loss_D_real: -0.006924 Loss_D_fake 0.017799
[693/5000][55/535][71290] Loss_D: -0.024699 Loss_G: 0.003642 Loss_D_real: -0.011499 Loss_D_fake 0.013200
[693/5000][60/535][71291] Loss_D: -0.025360 Loss_G: 0.018059 Loss_D_real: -0.017915 Loss_D_fake 0.007446
[693/5000][65/535][71292] Loss_D: -0.024845 Loss_G: 0.002608 Loss_D_real: -0.007901 Loss_D_fake 0.016944
[693/5000][70/535][71293] Loss_D: -0.024586 Loss_G: 0.022975 Loss_D_real: -0.032025 Loss_D_fake -0.007440
[693/5000][75/535][71294] Loss_D: -0.025080 Loss_G: 0.001137 Loss_D_real: -0.011304 Loss_D_fake 0.013776
[693/5000][80/535][71295] Loss_D: -0.025222 Loss_G: -0.013406 Loss_D_real: -0.002813 Loss_D_fake 0.022410
[693/5000][85/535][71296] Loss_D: -0.024021 Loss_G: 0.024330 Loss_D_real: -0.022704 Loss_D_fake 0.001316
[693/5000][90/535][71297] Loss_D: -0.024836 Loss_G: 0.012287 Loss_D_real: -0.025944 Loss_D_fake -0.001109
[693/5000][95/535][71298] Loss_D: -0.025429 Loss_G: 0.022370 Loss_D_real: -0.029499 Loss_D_fake -0.004070
[693/5000][100/535][71299] Loss_D: -0.024793 Loss_G: 0.008978 Loss_D_real: -0.018215 Loss_D_fake 0.006578
[693/5000][105/535][71300] Loss_D: -0.023636 Loss_G: 0.021982 Loss_D_real: -0.027196 Loss_D_fake -0.003560
[693/5000][110/535][71301] Loss_D: -0.024119 Loss_G: 0.004301 Loss_D_real: -0.012840 Loss_D_fake 0.011278
[693/5000][115/535][71302] Loss_D: -0.022897 Loss_G: 0.020963 Loss_D_real: -0.038696 Loss_D_fake -0.015799
[693/5000][120/535][71303] Loss_D: -0.020658 Loss_G: 0.025334 Loss_D_real: -0.039421 Loss_D_fake -0.018763
[693/5000][125/535][71304] Loss_D: -0.023928 Loss_G: 0.016342 Loss_D_real: -0.022893 Loss_D_fake 0.001035
[693/5000][130/535][71305] Loss_D: -0.023853 Loss_G: 0.004206 Loss_D_real: -0.008240 Loss_D_fake 0.015614
[693/5000][135/535][71306] Loss_D: -0.024391 Loss_G: 0.012793 Loss_D_real: -0.015653 Loss_D_fake 0.008739
[693/5000][140/535][71307] Loss_D: -0.026217 Loss_G: 0.013621 Loss_D_real: -0.026580 Loss_D_fake -0.000363
[693/5000][145/535][71308] Loss_D: -0.025134 Loss_G: 0.013720 Loss_D_real: -0.019679 Loss_D_fake 0.005455
[693/5000][150/535][71309] Loss_D: -0.024988 Loss_G: 0.006016 Loss_D_real: -0.014789 Loss_D_fake 0.010199
[693/5000][155/535][71310] Loss_D: -0.025426 Loss_G: 0.017819 Loss_D_real: -0.018437 Loss_D_fake 0.006989
[693/5000][160/535][71311] Loss_D: -0.024669 Loss_G: 0.015713 Loss_D_real: -0.034919 Loss_D_fake -0.010250
[693/5000][165/535][71312] Loss_D: -0.025434 Loss_G: 0.005169 Loss_D_real: -0.014792 Loss_D_fake 0.010642
[693/5000][170/535][71313] Loss_D: -0.025791 Loss_G: 0.010608 Loss_D_real: -0.023564 Loss_D_fake 0.002226
[693/5000][175/535][71314] Loss_D: -0.024472 Loss_G: 0.012679 Loss_D_real: -0.024697 Loss_D_fake -0.000225
[693/5000][180/535][71315] Loss_D: -0.025426 Loss_G: 0.003559 Loss_D_real: -0.013867 Loss_D_fake 0.011559
[693/5000][185/535][71316] Loss_D: -0.024523 Loss_G: 0.016943 Loss_D_real: -0.026911 Loss_D_fake -0.002388
[693/5000][190/535][71317] Loss_D: -0.025028 Loss_G: 0.019026 Loss_D_real: -0.022983 Loss_D_fake 0.002045
[693/5000][195/535][71318] Loss_D: -0.024715 Loss_G: -0.005298 Loss_D_real: -0.013365 Loss_D_fake 0.011350
[693/5000][200/535][71319] Loss_D: -0.022331 Loss_G: 0.018151 Loss_D_real: -0.018524 Loss_D_fake 0.003807
[693/5000][205/535][71320] Loss_D: -0.024201 Loss_G: 0.003501 Loss_D_real: -0.021965 Loss_D_fake 0.002237
[693/5000][210/535][71321] Loss_D: -0.022492 Loss_G: 0.029225 Loss_D_real: -0.030503 Loss_D_fake -0.008011
[693/5000][215/535][71322] Loss_D: -0.021460 Loss_G: 0.029409 Loss_D_real: -0.035911 Loss_D_fake -0.014451
[693/5000][220/535][71323] Loss_D: -0.023372 Loss_G: 0.014371 Loss_D_real: -0.019627 Loss_D_fake 0.003746
[693/5000][225/535][71324] Loss_D: -0.023502 Loss_G: 0.009813 Loss_D_real: -0.018627 Loss_D_fake 0.004875
[693/5000][230/535][71325] Loss_D: -0.023263 Loss_G: 0.010149 Loss_D_real: -0.022359 Loss_D_fake 0.000905
[693/5000][235/535][71326] Loss_D: -0.023263 Loss_G: 0.006952 Loss_D_real: -0.016648 Loss_D_fake 0.006615
[693/5000][240/535][71327] Loss_D: -0.023731 Loss_G: 0.001526 Loss_D_real: -0.020770 Loss_D_fake 0.002962
[693/5000][245/535][71328] Loss_D: -0.023727 Loss_G: 0.016700 Loss_D_real: -0.026812 Loss_D_fake -0.003085
[693/5000][250/535][71329] Loss_D: -0.023268 Loss_G: -0.000208 Loss_D_real: -0.002760 Loss_D_fake 0.020508
[693/5000][255/535][71330] Loss_D: -0.023111 Loss_G: 0.006555 Loss_D_real: -0.020812 Loss_D_fake 0.002299
[693/5000][260/535][71331] Loss_D: -0.023555 Loss_G: 0.020073 Loss_D_real: -0.023541 Loss_D_fake 0.000015
[693/5000][265/535][71332] Loss_D: -0.025394 Loss_G: 0.010330 Loss_D_real: -0.016117 Loss_D_fake 0.009277
[693/5000][270/535][71333] Loss_D: -0.024180 Loss_G: 0.001226 Loss_D_real: -0.018362 Loss_D_fake 0.005819
[693/5000][275/535][71334] Loss_D: -0.022629 Loss_G: 0.021872 Loss_D_real: -0.024952 Loss_D_fake -0.002322
[693/5000][280/535][71335] Loss_D: -0.024270 Loss_G: 0.007921 Loss_D_real: -0.016524 Loss_D_fake 0.007747
[693/5000][285/535][71336] Loss_D: -0.022958 Loss_G: 0.026818 Loss_D_real: -0.033742 Loss_D_fake -0.010784
[693/5000][290/535][71337] Loss_D: -0.024179 Loss_G: 0.023405 Loss_D_real: -0.023751 Loss_D_fake 0.000428
[693/5000][295/535][71338] Loss_D: -0.022805 Loss_G: 0.019378 Loss_D_real: -0.033655 Loss_D_fake -0.010851
[693/5000][300/535][71339] Loss_D: -0.024792 Loss_G: 0.006294 Loss_D_real: -0.027856 Loss_D_fake -0.003063
[693/5000][305/535][71340] Loss_D: -0.025314 Loss_G: 0.010708 Loss_D_real: -0.020858 Loss_D_fake 0.004455
[693/5000][310/535][71341] Loss_D: -0.024258 Loss_G: 0.022965 Loss_D_real: -0.030784 Loss_D_fake -0.006526
[693/5000][315/535][71342] Loss_D: -0.024497 Loss_G: 0.005442 Loss_D_real: -0.006592 Loss_D_fake 0.017905
[693/5000][320/535][71343] Loss_D: -0.024254 Loss_G: -0.003279 Loss_D_real: -0.011927 Loss_D_fake 0.012327
[693/5000][325/535][71344] Loss_D: -0.022573 Loss_G: -0.014829 Loss_D_real: -0.005568 Loss_D_fake 0.017005
[693/5000][330/535][71345] Loss_D: -0.024830 Loss_G: 0.013302 Loss_D_real: -0.020625 Loss_D_fake 0.004205
[693/5000][335/535][71346] Loss_D: -0.024801 Loss_G: 0.003352 Loss_D_real: -0.011385 Loss_D_fake 0.013416
[693/5000][340/535][71347] Loss_D: -0.021932 Loss_G: 0.024377 Loss_D_real: -0.036688 Loss_D_fake -0.014756
[693/5000][345/535][71348] Loss_D: -0.023808 Loss_G: 0.003710 Loss_D_real: -0.011234 Loss_D_fake 0.012574
[693/5000][350/535][71349] Loss_D: -0.023452 Loss_G: 0.024643 Loss_D_real: -0.026287 Loss_D_fake -0.002834
[693/5000][355/535][71350] Loss_D: -0.023482 Loss_G: 0.015024 Loss_D_real: -0.014933 Loss_D_fake 0.008549
[693/5000][360/535][71351] Loss_D: -0.022422 Loss_G: 0.023070 Loss_D_real: -0.018514 Loss_D_fake 0.003907
[693/5000][365/535][71352] Loss_D: -0.024572 Loss_G: 0.015267 Loss_D_real: -0.021016 Loss_D_fake 0.003555
[693/5000][370/535][71353] Loss_D: -0.024292 Loss_G: 0.014932 Loss_D_real: -0.021811 Loss_D_fake 0.002481
[693/5000][375/535][71354] Loss_D: -0.024463 Loss_G: 0.016050 Loss_D_real: -0.025208 Loss_D_fake -0.000745
[693/5000][380/535][71355] Loss_D: -0.023923 Loss_G: 0.013356 Loss_D_real: -0.028634 Loss_D_fake -0.004710
[693/5000][385/535][71356] Loss_D: -0.025410 Loss_G: -0.005949 Loss_D_real: -0.006645 Loss_D_fake 0.018765
[693/5000][390/535][71357] Loss_D: -0.025000 Loss_G: 0.006631 Loss_D_real: -0.011529 Loss_D_fake 0.013471
[693/5000][395/535][71358] Loss_D: -0.025517 Loss_G: 0.012560 Loss_D_real: -0.027349 Loss_D_fake -0.001832
[693/5000][400/535][71359] Loss_D: -0.024150 Loss_G: 0.006922 Loss_D_real: -0.032738 Loss_D_fake -0.008588
[693/5000][405/535][71360] Loss_D: -0.025535 Loss_G: -0.008096 Loss_D_real: -0.017587 Loss_D_fake 0.007948
[693/5000][410/535][71361] Loss_D: -0.024443 Loss_G: 0.009470 Loss_D_real: -0.012737 Loss_D_fake 0.011705
[693/5000][415/535][71362] Loss_D: -0.024520 Loss_G: 0.018932 Loss_D_real: -0.026108 Loss_D_fake -0.001588
[693/5000][420/535][71363] Loss_D: -0.025067 Loss_G: 0.003964 Loss_D_real: -0.008167 Loss_D_fake 0.016900
[693/5000][425/535][71364] Loss_D: -0.025228 Loss_G: -0.003086 Loss_D_real: -0.007600 Loss_D_fake 0.017628
[693/5000][430/535][71365] Loss_D: -0.025692 Loss_G: 0.028731 Loss_D_real: -0.024548 Loss_D_fake 0.001144
[693/5000][435/535][71366] Loss_D: -0.023534 Loss_G: -0.000243 Loss_D_real: -0.007019 Loss_D_fake 0.016516
[693/5000][440/535][71367] Loss_D: -0.024836 Loss_G: 0.008030 Loss_D_real: -0.021486 Loss_D_fake 0.003351
[693/5000][445/535][71368] Loss_D: -0.024440 Loss_G: 0.011224 Loss_D_real: -0.013254 Loss_D_fake 0.011187
[693/5000][450/535][71369] Loss_D: -0.023313 Loss_G: 0.022268 Loss_D_real: -0.026786 Loss_D_fake -0.003473
[693/5000][455/535][71370] Loss_D: -0.025284 Loss_G: -0.010136 Loss_D_real: -0.017091 Loss_D_fake 0.008193
[693/5000][460/535][71371] Loss_D: -0.025149 Loss_G: 0.001221 Loss_D_real: -0.013497 Loss_D_fake 0.011652
[693/5000][465/535][71372] Loss_D: -0.023346 Loss_G: 0.000372 Loss_D_real: -0.020851 Loss_D_fake 0.002495
[693/5000][470/535][71373] Loss_D: -0.025353 Loss_G: 0.020628 Loss_D_real: -0.025382 Loss_D_fake -0.000029
[693/5000][475/535][71374] Loss_D: -0.023294 Loss_G: 0.008000 Loss_D_real: -0.010900 Loss_D_fake 0.012394
[693/5000][480/535][71375] Loss_D: -0.024274 Loss_G: 0.015060 Loss_D_real: -0.022280 Loss_D_fake 0.001994
[693/5000][485/535][71376] Loss_D: -0.023779 Loss_G: -0.004024 Loss_D_real: -0.022315 Loss_D_fake 0.001464
[693/5000][490/535][71377] Loss_D: -0.024084 Loss_G: 0.007393 Loss_D_real: -0.022629 Loss_D_fake 0.001455
[693/5000][495/535][71378] Loss_D: -0.023488 Loss_G: 0.009862 Loss_D_real: -0.020418 Loss_D_fake 0.003070
[693/5000][500/535][71379] Loss_D: -0.023393 Loss_G: -0.001361 Loss_D_real: -0.013354 Loss_D_fake 0.010039
[693/5000][505/535][71380] Loss_D: -0.024691 Loss_G: 0.018492 Loss_D_real: -0.032219 Loss_D_fake -0.007529
[693/5000][510/535][71381] Loss_D: -0.024899 Loss_G: 0.008283 Loss_D_real: -0.020183 Loss_D_fake 0.004716
[693/5000][515/535][71382] Loss_D: -0.025051 Loss_G: -0.002508 Loss_D_real: -0.007714 Loss_D_fake 0.017337
[693/5000][520/535][71383] Loss_D: -0.024163 Loss_G: 0.013049 Loss_D_real: -0.022586 Loss_D_fake 0.001577
[693/5000][525/535][71384] Loss_D: -0.023543 Loss_G: -0.011426 Loss_D_real: -0.004388 Loss_D_fake 0.019154
[693/5000][530/535][71385] Loss_D: -0.023682 Loss_G: 0.000832 Loss_D_real: -0.020508 Loss_D_fake 0.003174
[693/5000][535/535][71386] Loss_D: -0.023875 Loss_G: 0.001291 Loss_D_real: -0.014827 Loss_D_fake 0.009048
[694/5000][5/535][71387] Loss_D: -0.024119 Loss_G: 0.019838 Loss_D_real: -0.020735 Loss_D_fake 0.003384
[694/5000][10/535][71388] Loss_D: -0.024749 Loss_G: 0.014850 Loss_D_real: -0.022411 Loss_D_fake 0.002338
[694/5000][15/535][71389] Loss_D: -0.024006 Loss_G: 0.003630 Loss_D_real: -0.014701 Loss_D_fake 0.009305
[694/5000][20/535][71390] Loss_D: -0.023992 Loss_G: 0.024982 Loss_D_real: -0.033079 Loss_D_fake -0.009087
[694/5000][25/535][71391] Loss_D: -0.025870 Loss_G: 0.009357 Loss_D_real: -0.026979 Loss_D_fake -0.001108
[694/5000][30/535][71392] Loss_D: -0.023093 Loss_G: 0.015573 Loss_D_real: -0.017950 Loss_D_fake 0.005143
[694/5000][35/535][71393] Loss_D: -0.023762 Loss_G: 0.025975 Loss_D_real: -0.036864 Loss_D_fake -0.013102
[694/5000][40/535][71394] Loss_D: -0.024017 Loss_G: -0.004131 Loss_D_real: -0.015539 Loss_D_fake 0.008479
[694/5000][45/535][71395] Loss_D: -0.023569 Loss_G: 0.015486 Loss_D_real: -0.031484 Loss_D_fake -0.007914
[694/5000][50/535][71396] Loss_D: -0.024638 Loss_G: -0.002293 Loss_D_real: -0.016643 Loss_D_fake 0.007995
[694/5000][55/535][71397] Loss_D: -0.023871 Loss_G: 0.026719 Loss_D_real: -0.038169 Loss_D_fake -0.014299
[694/5000][60/535][71398] Loss_D: -0.024904 Loss_G: 0.004939 Loss_D_real: -0.018414 Loss_D_fake 0.006490
[694/5000][65/535][71399] Loss_D: -0.024162 Loss_G: 0.006900 Loss_D_real: -0.017198 Loss_D_fake 0.006964
[694/5000][70/535][71400] Loss_D: -0.024171 Loss_G: -0.006684 Loss_D_real: -0.008908 Loss_D_fake 0.015262
[694/5000][75/535][71401] Loss_D: -0.022607 Loss_G: 0.011678 Loss_D_real: -0.024064 Loss_D_fake -0.001457
[694/5000][80/535][71402] Loss_D: -0.023426 Loss_G: 0.002900 Loss_D_real: -0.013457 Loss_D_fake 0.009968
[694/5000][85/535][71403] Loss_D: -0.024704 Loss_G: 0.027085 Loss_D_real: -0.029708 Loss_D_fake -0.005004
[694/5000][90/535][71404] Loss_D: -0.025033 Loss_G: -0.005896 Loss_D_real: -0.009050 Loss_D_fake 0.015984
[694/5000][95/535][71405] Loss_D: -0.021007 Loss_G: 0.019787 Loss_D_real: -0.028985 Loss_D_fake -0.007978
[694/5000][100/535][71406] Loss_D: -0.024289 Loss_G: 0.003101 Loss_D_real: -0.028479 Loss_D_fake -0.004190
[694/5000][105/535][71407] Loss_D: -0.024615 Loss_G: 0.009751 Loss_D_real: -0.018543 Loss_D_fake 0.006072
[694/5000][110/535][71408] Loss_D: -0.024329 Loss_G: 0.002704 Loss_D_real: -0.006259 Loss_D_fake 0.018070
[694/5000][115/535][71409] Loss_D: -0.022397 Loss_G: -0.013543 Loss_D_real: -0.011734 Loss_D_fake 0.010663
[694/5000][120/535][71410] Loss_D: -0.023009 Loss_G: 0.005050 Loss_D_real: -0.014139 Loss_D_fake 0.008870
[694/5000][125/535][71411] Loss_D: -0.023879 Loss_G: 0.014535 Loss_D_real: -0.020124 Loss_D_fake 0.003756
[694/5000][130/535][71412] Loss_D: -0.023248 Loss_G: 0.009465 Loss_D_real: -0.019273 Loss_D_fake 0.003976
[694/5000][135/535][71413] Loss_D: -0.023958 Loss_G: 0.004247 Loss_D_real: -0.023996 Loss_D_fake -0.000037
[694/5000][140/535][71414] Loss_D: -0.025083 Loss_G: 0.022836 Loss_D_real: -0.027902 Loss_D_fake -0.002819
[694/5000][145/535][71415] Loss_D: -0.026069 Loss_G: -0.007597 Loss_D_real: -0.009639 Loss_D_fake 0.016430
[694/5000][150/535][71416] Loss_D: -0.024495 Loss_G: 0.020964 Loss_D_real: -0.033933 Loss_D_fake -0.009438
[694/5000][155/535][71417] Loss_D: -0.023792 Loss_G: 0.005756 Loss_D_real: -0.015383 Loss_D_fake 0.008409
[694/5000][160/535][71418] Loss_D: -0.025361 Loss_G: 0.009579 Loss_D_real: -0.024713 Loss_D_fake 0.000649
[694/5000][165/535][71419] Loss_D: -0.024064 Loss_G: 0.018694 Loss_D_real: -0.029883 Loss_D_fake -0.005820
[694/5000][170/535][71420] Loss_D: -0.024382 Loss_G: -0.008181 Loss_D_real: -0.001141 Loss_D_fake 0.023241
[694/5000][175/535][71421] Loss_D: -0.023859 Loss_G: 0.018032 Loss_D_real: -0.025763 Loss_D_fake -0.001904
[694/5000][180/535][71422] Loss_D: -0.024260 Loss_G: 0.004248 Loss_D_real: -0.012268 Loss_D_fake 0.011992
[694/5000][185/535][71423] Loss_D: -0.024093 Loss_G: 0.022156 Loss_D_real: -0.033726 Loss_D_fake -0.009633
[694/5000][190/535][71424] Loss_D: -0.024332 Loss_G: 0.026668 Loss_D_real: -0.026191 Loss_D_fake -0.001859
[694/5000][195/535][71425] Loss_D: -0.025750 Loss_G: 0.001688 Loss_D_real: -0.006710 Loss_D_fake 0.019040
[694/5000][200/535][71426] Loss_D: -0.024347 Loss_G: -0.004735 Loss_D_real: -0.011389 Loss_D_fake 0.012958
[694/5000][205/535][71427] Loss_D: -0.023638 Loss_G: 0.009782 Loss_D_real: -0.015906 Loss_D_fake 0.007732
[694/5000][210/535][71428] Loss_D: -0.023347 Loss_G: 0.005409 Loss_D_real: -0.024188 Loss_D_fake -0.000841
[694/5000][215/535][71429] Loss_D: -0.024839 Loss_G: 0.016113 Loss_D_real: -0.013319 Loss_D_fake 0.011520
[694/5000][220/535][71430] Loss_D: -0.024013 Loss_G: 0.011764 Loss_D_real: -0.018658 Loss_D_fake 0.005355
[694/5000][225/535][71431] Loss_D: -0.024108 Loss_G: 0.021288 Loss_D_real: -0.032938 Loss_D_fake -0.008829
[694/5000][230/535][71432] Loss_D: -0.024693 Loss_G: 0.006913 Loss_D_real: -0.019328 Loss_D_fake 0.005366
[694/5000][235/535][71433] Loss_D: -0.024339 Loss_G: 0.020219 Loss_D_real: -0.035113 Loss_D_fake -0.010775
[694/5000][240/535][71434] Loss_D: -0.023940 Loss_G: 0.003093 Loss_D_real: -0.016795 Loss_D_fake 0.007145
[694/5000][245/535][71435] Loss_D: -0.023445 Loss_G: 0.004453 Loss_D_real: -0.016541 Loss_D_fake 0.006905
[694/5000][250/535][71436] Loss_D: -0.024210 Loss_G: 0.020899 Loss_D_real: -0.022366 Loss_D_fake 0.001843
[694/5000][255/535][71437] Loss_D: -0.024124 Loss_G: 0.008561 Loss_D_real: -0.019685 Loss_D_fake 0.004439
[694/5000][260/535][71438] Loss_D: -0.024989 Loss_G: 0.000467 Loss_D_real: -0.011560 Loss_D_fake 0.013430
[694/5000][265/535][71439] Loss_D: -0.023009 Loss_G: 0.006849 Loss_D_real: 0.008397 Loss_D_fake 0.031407
[694/5000][270/535][71440] Loss_D: -0.021846 Loss_G: 0.017374 Loss_D_real: -0.022272 Loss_D_fake -0.000426
[694/5000][275/535][71441] Loss_D: -0.024870 Loss_G: -0.002577 Loss_D_real: -0.024928 Loss_D_fake -0.000058
[694/5000][280/535][71442] Loss_D: -0.024828 Loss_G: 0.010803 Loss_D_real: -0.026099 Loss_D_fake -0.001271
[694/5000][285/535][71443] Loss_D: -0.025089 Loss_G: 0.002890 Loss_D_real: -0.014229 Loss_D_fake 0.010861
[694/5000][290/535][71444] Loss_D: -0.025543 Loss_G: 0.007545 Loss_D_real: -0.027695 Loss_D_fake -0.002153
[694/5000][295/535][71445] Loss_D: -0.023883 Loss_G: 0.007634 Loss_D_real: -0.022000 Loss_D_fake 0.001882
[694/5000][300/535][71446] Loss_D: -0.023951 Loss_G: 0.021367 Loss_D_real: -0.022340 Loss_D_fake 0.001611
[694/5000][305/535][71447] Loss_D: -0.023948 Loss_G: 0.016406 Loss_D_real: -0.022525 Loss_D_fake 0.001424
[694/5000][310/535][71448] Loss_D: -0.022213 Loss_G: 0.033504 Loss_D_real: -0.033970 Loss_D_fake -0.011757
[694/5000][315/535][71449] Loss_D: -0.022518 Loss_G: -0.017000 Loss_D_real: -0.002574 Loss_D_fake 0.019943
[694/5000][320/535][71450] Loss_D: -0.024228 Loss_G: 0.011647 Loss_D_real: -0.035280 Loss_D_fake -0.011052
[694/5000][325/535][71451] Loss_D: -0.024108 Loss_G: 0.009715 Loss_D_real: -0.019945 Loss_D_fake 0.004164
[694/5000][330/535][71452] Loss_D: -0.023393 Loss_G: 0.014701 Loss_D_real: -0.027783 Loss_D_fake -0.004391
[694/5000][335/535][71453] Loss_D: -0.023661 Loss_G: 0.004863 Loss_D_real: -0.014325 Loss_D_fake 0.009336
[694/5000][340/535][71454] Loss_D: -0.024079 Loss_G: 0.020128 Loss_D_real: -0.027886 Loss_D_fake -0.003808
[694/5000][345/535][71455] Loss_D: -0.023546 Loss_G: 0.006584 Loss_D_real: -0.011820 Loss_D_fake 0.011727
[694/5000][350/535][71456] Loss_D: -0.023874 Loss_G: 0.003376 Loss_D_real: -0.012548 Loss_D_fake 0.011326
[694/5000][355/535][71457] Loss_D: -0.023671 Loss_G: 0.009371 Loss_D_real: -0.021513 Loss_D_fake 0.002157
[694/5000][360/535][71458] Loss_D: -0.024015 Loss_G: 0.000157 Loss_D_real: -0.020676 Loss_D_fake 0.003339
[694/5000][365/535][71459] Loss_D: -0.023023 Loss_G: 0.003263 Loss_D_real: -0.016023 Loss_D_fake 0.007000
[694/5000][370/535][71460] Loss_D: -0.023657 Loss_G: 0.020971 Loss_D_real: -0.034542 Loss_D_fake -0.010885
[694/5000][375/535][71461] Loss_D: -0.023702 Loss_G: 0.015124 Loss_D_real: -0.027199 Loss_D_fake -0.003497
[694/5000][380/535][71462] Loss_D: -0.022991 Loss_G: -0.016847 Loss_D_real: -0.002477 Loss_D_fake 0.020514
[694/5000][385/535][71463] Loss_D: -0.024894 Loss_G: 0.013565 Loss_D_real: -0.024417 Loss_D_fake 0.000477
[694/5000][390/535][71464] Loss_D: -0.025719 Loss_G: 0.016901 Loss_D_real: -0.020027 Loss_D_fake 0.005692
[694/5000][395/535][71465] Loss_D: -0.024348 Loss_G: 0.010705 Loss_D_real: -0.027329 Loss_D_fake -0.002981
[694/5000][400/535][71466] Loss_D: -0.022879 Loss_G: 0.031452 Loss_D_real: -0.031744 Loss_D_fake -0.008865
[694/5000][405/535][71467] Loss_D: -0.023870 Loss_G: -0.016861 Loss_D_real: -0.004477 Loss_D_fake 0.019393
[694/5000][410/535][71468] Loss_D: -0.022503 Loss_G: 0.017513 Loss_D_real: -0.029134 Loss_D_fake -0.006630
[694/5000][415/535][71469] Loss_D: -0.024616 Loss_G: 0.006797 Loss_D_real: -0.031494 Loss_D_fake -0.006879
[694/5000][420/535][71470] Loss_D: -0.026253 Loss_G: 0.017184 Loss_D_real: -0.018344 Loss_D_fake 0.007909
[694/5000][425/535][71471] Loss_D: -0.026086 Loss_G: 0.016307 Loss_D_real: -0.030555 Loss_D_fake -0.004469
[694/5000][430/535][71472] Loss_D: -0.025267 Loss_G: 0.021751 Loss_D_real: -0.030620 Loss_D_fake -0.005352
[694/5000][435/535][71473] Loss_D: -0.026219 Loss_G: 0.007588 Loss_D_real: -0.011830 Loss_D_fake 0.014390
[694/5000][440/535][71474] Loss_D: -0.025720 Loss_G: 0.001608 Loss_D_real: -0.015641 Loss_D_fake 0.010080
[694/5000][445/535][71475] Loss_D: -0.024571 Loss_G: -0.002169 Loss_D_real: -0.015626 Loss_D_fake 0.008945
[694/5000][450/535][71476] Loss_D: -0.024880 Loss_G: 0.022180 Loss_D_real: -0.026756 Loss_D_fake -0.001876
[694/5000][455/535][71477] Loss_D: -0.023038 Loss_G: -0.013540 Loss_D_real: 0.000062 Loss_D_fake 0.023100
[694/5000][460/535][71478] Loss_D: -0.024508 Loss_G: -0.001726 Loss_D_real: -0.013203 Loss_D_fake 0.011305
[694/5000][465/535][71479] Loss_D: -0.023571 Loss_G: -0.004234 Loss_D_real: -0.011496 Loss_D_fake 0.012075
[694/5000][470/535][71480] Loss_D: -0.023919 Loss_G: 0.022796 Loss_D_real: -0.028694 Loss_D_fake -0.004774
[694/5000][475/535][71481] Loss_D: -0.024392 Loss_G: 0.003342 Loss_D_real: -0.024438 Loss_D_fake -0.000045
[694/5000][480/535][71482] Loss_D: -0.023368 Loss_G: 0.020362 Loss_D_real: -0.032555 Loss_D_fake -0.009187
[694/5000][485/535][71483] Loss_D: -0.024372 Loss_G: 0.006296 Loss_D_real: -0.010326 Loss_D_fake 0.014046
[694/5000][490/535][71484] Loss_D: -0.025322 Loss_G: -0.000089 Loss_D_real: -0.014777 Loss_D_fake 0.010545
[694/5000][495/535][71485] Loss_D: -0.025539 Loss_G: 0.000510 Loss_D_real: -0.014789 Loss_D_fake 0.010751
[694/5000][500/535][71486] Loss_D: -0.023972 Loss_G: 0.007785 Loss_D_real: -0.029398 Loss_D_fake -0.005425
[694/5000][505/535][71487] Loss_D: -0.023445 Loss_G: 0.014454 Loss_D_real: -0.016605 Loss_D_fake 0.006840
[694/5000][510/535][71488] Loss_D: -0.023877 Loss_G: 0.022880 Loss_D_real: -0.020083 Loss_D_fake 0.003794
[694/5000][515/535][71489] Loss_D: -0.024490 Loss_G: 0.022754 Loss_D_real: -0.031334 Loss_D_fake -0.006844
[694/5000][520/535][71490] Loss_D: -0.023640 Loss_G: 0.017619 Loss_D_real: -0.032115 Loss_D_fake -0.008475
[694/5000][525/535][71491] Loss_D: -0.025377 Loss_G: 0.011668 Loss_D_real: -0.021910 Loss_D_fake 0.003467
[694/5000][530/535][71492] Loss_D: -0.024506 Loss_G: 0.023945 Loss_D_real: -0.025353 Loss_D_fake -0.000847
[694/5000][535/535][71493] Loss_D: -0.021798 Loss_G: 0.004478 Loss_D_real: -0.009890 Loss_D_fake 0.011908
[695/5000][5/535][71494] Loss_D: -0.023518 Loss_G: 0.019437 Loss_D_real: -0.025475 Loss_D_fake -0.001957
[695/5000][10/535][71495] Loss_D: -0.024894 Loss_G: 0.009747 Loss_D_real: -0.017649 Loss_D_fake 0.007246
[695/5000][15/535][71496] Loss_D: -0.024997 Loss_G: 0.016973 Loss_D_real: -0.017979 Loss_D_fake 0.007019
[695/5000][20/535][71497] Loss_D: -0.024093 Loss_G: -0.001203 Loss_D_real: -0.019607 Loss_D_fake 0.004487
[695/5000][25/535][71498] Loss_D: -0.021700 Loss_G: 0.029817 Loss_D_real: -0.036126 Loss_D_fake -0.014426
[695/5000][30/535][71499] Loss_D: -0.024382 Loss_G: -0.002830 Loss_D_real: -0.008246 Loss_D_fake 0.016135
[695/5000][35/535][71500] Loss_D: -0.024127 Loss_G: 0.007535 Loss_D_real: -0.021002 Loss_D_fake 0.003124
[695/5000][135/535][71501] Loss_D: -0.024748 Loss_G: -0.016996 Loss_D_real: 0.001893 Loss_D_fake 0.026641
[695/5000][140/535][71502] Loss_D: -0.025220 Loss_G: 0.012842 Loss_D_real: -0.021033 Loss_D_fake 0.004187
[695/5000][145/535][71503] Loss_D: -0.022839 Loss_G: 0.011278 Loss_D_real: -0.026648 Loss_D_fake -0.003809
[695/5000][150/535][71504] Loss_D: -0.021916 Loss_G: 0.021663 Loss_D_real: -0.022737 Loss_D_fake -0.000820
[695/5000][155/535][71505] Loss_D: -0.022817 Loss_G: 0.007566 Loss_D_real: -0.020441 Loss_D_fake 0.002376
[695/5000][160/535][71506] Loss_D: -0.021992 Loss_G: 0.002814 Loss_D_real: -0.009856 Loss_D_fake 0.012136
[695/5000][165/535][71507] Loss_D: -0.022735 Loss_G: 0.020852 Loss_D_real: -0.029296 Loss_D_fake -0.006562
[695/5000][170/535][71508] Loss_D: -0.024062 Loss_G: -0.001254 Loss_D_real: -0.014768 Loss_D_fake 0.009294
[695/5000][175/535][71509] Loss_D: -0.023615 Loss_G: 0.014958 Loss_D_real: -0.017000 Loss_D_fake 0.006615
[695/5000][180/535][71510] Loss_D: -0.023050 Loss_G: 0.019482 Loss_D_real: -0.020082 Loss_D_fake 0.002968
[695/5000][185/535][71511] Loss_D: -0.022653 Loss_G: -0.010741 Loss_D_real: -0.008405 Loss_D_fake 0.014248
[695/5000][190/535][71512] Loss_D: -0.023709 Loss_G: 0.007088 Loss_D_real: -0.005778 Loss_D_fake 0.017931
[695/5000][195/535][71513] Loss_D: -0.024728 Loss_G: 0.004514 Loss_D_real: -0.024878 Loss_D_fake -0.000150
[695/5000][200/535][71514] Loss_D: -0.022886 Loss_G: 0.012377 Loss_D_real: -0.023146 Loss_D_fake -0.000261
[695/5000][205/535][71515] Loss_D: -0.023397 Loss_G: -0.003739 Loss_D_real: -0.005649 Loss_D_fake 0.017748
[695/5000][210/535][71516] Loss_D: -0.022323 Loss_G: 0.022719 Loss_D_real: -0.035178 Loss_D_fake -0.012854
[695/5000][215/535][71517] Loss_D: -0.023585 Loss_G: 0.009454 Loss_D_real: -0.021715 Loss_D_fake 0.001870
[695/5000][220/535][71518] Loss_D: -0.023566 Loss_G: 0.011680 Loss_D_real: -0.022827 Loss_D_fake 0.000739
[695/5000][225/535][71519] Loss_D: -0.023530 Loss_G: 0.006942 Loss_D_real: -0.022214 Loss_D_fake 0.001316
[695/5000][230/535][71520] Loss_D: -0.023473 Loss_G: 0.001569 Loss_D_real: -0.025319 Loss_D_fake -0.001847
[695/5000][235/535][71521] Loss_D: -0.023962 Loss_G: -0.018924 Loss_D_real: -0.007018 Loss_D_fake 0.016944
[695/5000][240/535][71522] Loss_D: -0.023253 Loss_G: 0.021934 Loss_D_real: -0.028277 Loss_D_fake -0.005024
[695/5000][245/535][71523] Loss_D: -0.024717 Loss_G: -0.007474 Loss_D_real: -0.014489 Loss_D_fake 0.010228
[695/5000][250/535][71524] Loss_D: -0.025193 Loss_G: 0.007158 Loss_D_real: -0.012987 Loss_D_fake 0.012205
[695/5000][255/535][71525] Loss_D: -0.024737 Loss_G: 0.015272 Loss_D_real: -0.028468 Loss_D_fake -0.003731
[695/5000][260/535][71526] Loss_D: -0.026111 Loss_G: 0.015313 Loss_D_real: -0.025396 Loss_D_fake 0.000714
[695/5000][265/535][71527] Loss_D: -0.024832 Loss_G: 0.011111 Loss_D_real: -0.025643 Loss_D_fake -0.000811
[695/5000][270/535][71528] Loss_D: -0.024574 Loss_G: 0.011293 Loss_D_real: -0.017749 Loss_D_fake 0.006825
[695/5000][275/535][71529] Loss_D: -0.025454 Loss_G: 0.004951 Loss_D_real: -0.020442 Loss_D_fake 0.005012
[695/5000][280/535][71530] Loss_D: -0.024407 Loss_G: -0.015253 Loss_D_real: -0.007441 Loss_D_fake 0.016966
[695/5000][285/535][71531] Loss_D: -0.023259 Loss_G: 0.017480 Loss_D_real: -0.024605 Loss_D_fake -0.001347
[695/5000][290/535][71532] Loss_D: -0.023708 Loss_G: 0.012624 Loss_D_real: -0.015169 Loss_D_fake 0.008539
[695/5000][295/535][71533] Loss_D: -0.024967 Loss_G: 0.024203 Loss_D_real: -0.030000 Loss_D_fake -0.005034
[695/5000][300/535][71534] Loss_D: -0.024932 Loss_G: 0.004845 Loss_D_real: -0.016705 Loss_D_fake 0.008227
[695/5000][305/535][71535] Loss_D: -0.025096 Loss_G: 0.006144 Loss_D_real: -0.009422 Loss_D_fake 0.015674
[695/5000][310/535][71536] Loss_D: -0.024699 Loss_G: 0.010011 Loss_D_real: -0.019905 Loss_D_fake 0.004794
[695/5000][315/535][71537] Loss_D: -0.024237 Loss_G: 0.019792 Loss_D_real: -0.024718 Loss_D_fake -0.000481
[695/5000][320/535][71538] Loss_D: -0.023868 Loss_G: 0.023532 Loss_D_real: -0.029943 Loss_D_fake -0.006075
[695/5000][325/535][71539] Loss_D: -0.022888 Loss_G: 0.003980 Loss_D_real: -0.009364 Loss_D_fake 0.013524
[695/5000][330/535][71540] Loss_D: -0.023862 Loss_G: 0.004510 Loss_D_real: -0.026655 Loss_D_fake -0.002793
[695/5000][335/535][71541] Loss_D: -0.023145 Loss_G: 0.008409 Loss_D_real: -0.011328 Loss_D_fake 0.011817
[695/5000][340/535][71542] Loss_D: -0.022020 Loss_G: 0.028318 Loss_D_real: -0.037317 Loss_D_fake -0.015296
[695/5000][345/535][71543] Loss_D: -0.024498 Loss_G: -0.000955 Loss_D_real: -0.015522 Loss_D_fake 0.008976
[695/5000][350/535][71544] Loss_D: -0.024580 Loss_G: 0.028158 Loss_D_real: -0.025883 Loss_D_fake -0.001303
[695/5000][355/535][71545] Loss_D: -0.024401 Loss_G: 0.010687 Loss_D_real: -0.015151 Loss_D_fake 0.009250
[695/5000][360/535][71546] Loss_D: -0.023944 Loss_G: 0.006718 Loss_D_real: -0.012837 Loss_D_fake 0.011107
[695/5000][365/535][71547] Loss_D: -0.024825 Loss_G: 0.010878 Loss_D_real: -0.018532 Loss_D_fake 0.006292
[695/5000][370/535][71548] Loss_D: -0.023372 Loss_G: -0.010524 Loss_D_real: -0.008526 Loss_D_fake 0.014846
[695/5000][375/535][71549] Loss_D: -0.024053 Loss_G: 0.005682 Loss_D_real: -0.013730 Loss_D_fake 0.010324
[695/5000][380/535][71550] Loss_D: -0.024337 Loss_G: 0.025800 Loss_D_real: -0.026491 Loss_D_fake -0.002154
[695/5000][385/535][71551] Loss_D: -0.024680 Loss_G: 0.001027 Loss_D_real: -0.014389 Loss_D_fake 0.010291
[695/5000][390/535][71552] Loss_D: -0.023550 Loss_G: 0.011993 Loss_D_real: -0.018829 Loss_D_fake 0.004721
[695/5000][395/535][71553] Loss_D: -0.023066 Loss_G: 0.015704 Loss_D_real: -0.026629 Loss_D_fake -0.003564
[695/5000][400/535][71554] Loss_D: -0.023253 Loss_G: 0.003172 Loss_D_real: -0.010155 Loss_D_fake 0.013098
[695/5000][405/535][71555] Loss_D: -0.024018 Loss_G: 0.018608 Loss_D_real: -0.021889 Loss_D_fake 0.002130
[695/5000][410/535][71556] Loss_D: -0.022826 Loss_G: -0.004659 Loss_D_real: -0.005233 Loss_D_fake 0.017593
[695/5000][415/535][71557] Loss_D: -0.022199 Loss_G: 0.029634 Loss_D_real: -0.027955 Loss_D_fake -0.005755
[695/5000][420/535][71558] Loss_D: -0.024090 Loss_G: 0.009485 Loss_D_real: -0.021468 Loss_D_fake 0.002622
[695/5000][425/535][71559] Loss_D: -0.023700 Loss_G: 0.007644 Loss_D_real: -0.013719 Loss_D_fake 0.009981
[695/5000][430/535][71560] Loss_D: -0.024915 Loss_G: 0.018029 Loss_D_real: -0.029564 Loss_D_fake -0.004649
[695/5000][435/535][71561] Loss_D: -0.025359 Loss_G: 0.032636 Loss_D_real: -0.038271 Loss_D_fake -0.012912
[695/5000][440/535][71562] Loss_D: -0.024007 Loss_G: 0.006732 Loss_D_real: -0.020327 Loss_D_fake 0.003680
[695/5000][445/535][71563] Loss_D: -0.023704 Loss_G: 0.023608 Loss_D_real: -0.030463 Loss_D_fake -0.006759
[695/5000][450/535][71564] Loss_D: -0.025384 Loss_G: 0.011177 Loss_D_real: -0.026759 Loss_D_fake -0.001375
[695/5000][455/535][71565] Loss_D: -0.026760 Loss_G: 0.014225 Loss_D_real: -0.014117 Loss_D_fake 0.012643
[695/5000][460/535][71566] Loss_D: -0.026289 Loss_G: 0.014867 Loss_D_real: -0.027659 Loss_D_fake -0.001371
[695/5000][465/535][71567] Loss_D: -0.024077 Loss_G: 0.001037 Loss_D_real: -0.010370 Loss_D_fake 0.013706
[695/5000][470/535][71568] Loss_D: -0.024949 Loss_G: 0.013073 Loss_D_real: -0.023964 Loss_D_fake 0.000985
[695/5000][475/535][71569] Loss_D: -0.023199 Loss_G: 0.022538 Loss_D_real: -0.024917 Loss_D_fake -0.001718
[695/5000][480/535][71570] Loss_D: -0.023546 Loss_G: 0.015069 Loss_D_real: -0.029254 Loss_D_fake -0.005708
[695/5000][485/535][71571] Loss_D: -0.024067 Loss_G: 0.023853 Loss_D_real: -0.016934 Loss_D_fake 0.007132
[695/5000][490/535][71572] Loss_D: -0.023396 Loss_G: -0.021269 Loss_D_real: -0.002941 Loss_D_fake 0.020455
[695/5000][495/535][71573] Loss_D: -0.023500 Loss_G: 0.005226 Loss_D_real: -0.023351 Loss_D_fake 0.000149
[695/5000][500/535][71574] Loss_D: -0.023837 Loss_G: 0.012787 Loss_D_real: -0.026006 Loss_D_fake -0.002169
[695/5000][505/535][71575] Loss_D: -0.023748 Loss_G: -0.000285 Loss_D_real: -0.001313 Loss_D_fake 0.022435
[695/5000][510/535][71576] Loss_D: -0.024159 Loss_G: 0.002394 Loss_D_real: -0.019366 Loss_D_fake 0.004793
[695/5000][515/535][71577] Loss_D: -0.025268 Loss_G: 0.032541 Loss_D_real: -0.032708 Loss_D_fake -0.007440
[695/5000][520/535][71578] Loss_D: -0.024053 Loss_G: 0.020220 Loss_D_real: -0.026578 Loss_D_fake -0.002525
[695/5000][525/535][71579] Loss_D: -0.023273 Loss_G: -0.010562 Loss_D_real: -0.016714 Loss_D_fake 0.006558
[695/5000][530/535][71580] Loss_D: -0.024009 Loss_G: 0.023555 Loss_D_real: -0.022414 Loss_D_fake 0.001595
[695/5000][535/535][71581] Loss_D: -0.025269 Loss_G: 0.016334 Loss_D_real: -0.023217 Loss_D_fake 0.002051
[696/5000][5/535][71582] Loss_D: -0.024323 Loss_G: 0.015075 Loss_D_real: -0.028479 Loss_D_fake -0.004156
[696/5000][10/535][71583] Loss_D: -0.026021 Loss_G: 0.003804 Loss_D_real: -0.016968 Loss_D_fake 0.009053
[696/5000][15/535][71584] Loss_D: -0.026650 Loss_G: -0.010164 Loss_D_real: -0.004119 Loss_D_fake 0.022531
[696/5000][20/535][71585] Loss_D: -0.024296 Loss_G: -0.023346 Loss_D_real: -0.006946 Loss_D_fake 0.017349
[696/5000][25/535][71586] Loss_D: -0.023606 Loss_G: 0.014311 Loss_D_real: -0.024296 Loss_D_fake -0.000689
[696/5000][30/535][71587] Loss_D: -0.025292 Loss_G: 0.030418 Loss_D_real: -0.024229 Loss_D_fake 0.001064
[696/5000][35/535][71588] Loss_D: -0.023722 Loss_G: 0.011431 Loss_D_real: -0.027778 Loss_D_fake -0.004056
[696/5000][40/535][71589] Loss_D: -0.025587 Loss_G: 0.021129 Loss_D_real: -0.025706 Loss_D_fake -0.000119
[696/5000][45/535][71590] Loss_D: -0.025255 Loss_G: 0.007889 Loss_D_real: -0.019318 Loss_D_fake 0.005937
[696/5000][50/535][71591] Loss_D: -0.024622 Loss_G: 0.023129 Loss_D_real: -0.027973 Loss_D_fake -0.003352
[696/5000][55/535][71592] Loss_D: -0.024923 Loss_G: -0.015500 Loss_D_real: -0.011708 Loss_D_fake 0.013215
[696/5000][60/535][71593] Loss_D: -0.023111 Loss_G: 0.027151 Loss_D_real: -0.034779 Loss_D_fake -0.011668
[696/5000][65/535][71594] Loss_D: -0.022265 Loss_G: 0.000928 Loss_D_real: -0.017529 Loss_D_fake 0.004737
[696/5000][70/535][71595] Loss_D: -0.025653 Loss_G: 0.013127 Loss_D_real: -0.015479 Loss_D_fake 0.010174
[696/5000][75/535][71596] Loss_D: -0.024372 Loss_G: 0.017217 Loss_D_real: -0.025919 Loss_D_fake -0.001547
[696/5000][80/535][71597] Loss_D: -0.025535 Loss_G: 0.013874 Loss_D_real: -0.026671 Loss_D_fake -0.001136
[696/5000][85/535][71598] Loss_D: -0.025137 Loss_G: 0.010997 Loss_D_real: -0.030290 Loss_D_fake -0.005153
[696/5000][90/535][71599] Loss_D: -0.026290 Loss_G: 0.010141 Loss_D_real: -0.007428 Loss_D_fake 0.018862
[696/5000][95/535][71600] Loss_D: -0.024205 Loss_G: 0.003683 Loss_D_real: -0.016447 Loss_D_fake 0.007758
[696/5000][100/535][71601] Loss_D: -0.023594 Loss_G: 0.017932 Loss_D_real: -0.023663 Loss_D_fake -0.000069
[696/5000][105/535][71602] Loss_D: -0.024353 Loss_G: 0.014155 Loss_D_real: -0.025069 Loss_D_fake -0.000716
[696/5000][110/535][71603] Loss_D: -0.023648 Loss_G: 0.004824 Loss_D_real: -0.023725 Loss_D_fake -0.000076
[696/5000][115/535][71604] Loss_D: -0.023953 Loss_G: 0.004322 Loss_D_real: -0.011215 Loss_D_fake 0.012739
[696/5000][120/535][71605] Loss_D: -0.025476 Loss_G: 0.000987 Loss_D_real: -0.017917 Loss_D_fake 0.007559
[696/5000][125/535][71606] Loss_D: -0.024020 Loss_G: -0.001946 Loss_D_real: -0.011472 Loss_D_fake 0.012548
[696/5000][130/535][71607] Loss_D: -0.023063 Loss_G: 0.004170 Loss_D_real: -0.007992 Loss_D_fake 0.015071
[696/5000][135/535][71608] Loss_D: -0.023360 Loss_G: -0.001765 Loss_D_real: -0.010013 Loss_D_fake 0.013348
[696/5000][140/535][71609] Loss_D: -0.022678 Loss_G: 0.033613 Loss_D_real: -0.035348 Loss_D_fake -0.012670
[696/5000][145/535][71610] Loss_D: -0.022978 Loss_G: -0.013724 Loss_D_real: -0.005892 Loss_D_fake 0.017086
[696/5000][150/535][71611] Loss_D: -0.023513 Loss_G: 0.026351 Loss_D_real: -0.026873 Loss_D_fake -0.003360
[696/5000][155/535][71612] Loss_D: -0.024062 Loss_G: 0.003436 Loss_D_real: -0.015416 Loss_D_fake 0.008645
[696/5000][160/535][71613] Loss_D: -0.024182 Loss_G: 0.002614 Loss_D_real: -0.013751 Loss_D_fake 0.010431
[696/5000][165/535][71614] Loss_D: -0.024867 Loss_G: -0.000976 Loss_D_real: -0.012901 Loss_D_fake 0.011966
[696/5000][170/535][71615] Loss_D: -0.025466 Loss_G: 0.009004 Loss_D_real: -0.023964 Loss_D_fake 0.001503
[696/5000][175/535][71616] Loss_D: -0.025137 Loss_G: 0.018914 Loss_D_real: -0.024079 Loss_D_fake 0.001059
[696/5000][180/535][71617] Loss_D: -0.024286 Loss_G: 0.014508 Loss_D_real: -0.031458 Loss_D_fake -0.007172
[696/5000][185/535][71618] Loss_D: -0.023687 Loss_G: 0.024038 Loss_D_real: -0.036809 Loss_D_fake -0.013121
[696/5000][190/535][71619] Loss_D: -0.024114 Loss_G: -0.008510 Loss_D_real: -0.004546 Loss_D_fake 0.019569
[696/5000][195/535][71620] Loss_D: -0.022923 Loss_G: 0.004064 Loss_D_real: -0.008926 Loss_D_fake 0.013997
[696/5000][200/535][71621] Loss_D: -0.023223 Loss_G: -0.007148 Loss_D_real: -0.003770 Loss_D_fake 0.019453
[696/5000][205/535][71622] Loss_D: -0.023712 Loss_G: 0.002440 Loss_D_real: -0.015707 Loss_D_fake 0.008005
[696/5000][210/535][71623] Loss_D: -0.024719 Loss_G: 0.009488 Loss_D_real: -0.025608 Loss_D_fake -0.000888
[696/5000][215/535][71624] Loss_D: -0.024196 Loss_G: -0.008005 Loss_D_real: -0.007556 Loss_D_fake 0.016640
[696/5000][220/535][71625] Loss_D: -0.023736 Loss_G: 0.002311 Loss_D_real: -0.009530 Loss_D_fake 0.014206
[696/5000][225/535][71626] Loss_D: -0.023596 Loss_G: -0.008508 Loss_D_real: -0.012027 Loss_D_fake 0.011569
[696/5000][230/535][71627] Loss_D: -0.023749 Loss_G: -0.000550 Loss_D_real: -0.020204 Loss_D_fake 0.003545
[696/5000][235/535][71628] Loss_D: -0.024145 Loss_G: 0.004886 Loss_D_real: -0.014642 Loss_D_fake 0.009503
[696/5000][240/535][71629] Loss_D: -0.024369 Loss_G: 0.002316 Loss_D_real: -0.005829 Loss_D_fake 0.018541
[696/5000][245/535][71630] Loss_D: -0.023983 Loss_G: 0.007777 Loss_D_real: -0.025381 Loss_D_fake -0.001398
[696/5000][250/535][71631] Loss_D: -0.023103 Loss_G: 0.028057 Loss_D_real: -0.034491 Loss_D_fake -0.011388
[696/5000][255/535][71632] Loss_D: -0.023509 Loss_G: 0.007412 Loss_D_real: -0.010945 Loss_D_fake 0.012564
[696/5000][260/535][71633] Loss_D: -0.023068 Loss_G: 0.012405 Loss_D_real: -0.033866 Loss_D_fake -0.010798
[696/5000][265/535][71634] Loss_D: -0.023839 Loss_G: 0.020938 Loss_D_real: -0.016512 Loss_D_fake 0.007328
[696/5000][270/535][71635] Loss_D: -0.023469 Loss_G: 0.000475 Loss_D_real: -0.010417 Loss_D_fake 0.013053
[696/5000][275/535][71636] Loss_D: -0.023709 Loss_G: 0.011851 Loss_D_real: -0.025425 Loss_D_fake -0.001716
[696/5000][280/535][71637] Loss_D: -0.024222 Loss_G: 0.011938 Loss_D_real: -0.024872 Loss_D_fake -0.000649
[696/5000][285/535][71638] Loss_D: -0.023537 Loss_G: 0.022397 Loss_D_real: -0.031493 Loss_D_fake -0.007956
[696/5000][290/535][71639] Loss_D: -0.024629 Loss_G: -0.012857 Loss_D_real: -0.013046 Loss_D_fake 0.011583
[696/5000][295/535][71640] Loss_D: -0.024413 Loss_G: 0.016308 Loss_D_real: -0.025677 Loss_D_fake -0.001265
[696/5000][300/535][71641] Loss_D: -0.023203 Loss_G: -0.013378 Loss_D_real: -0.003169 Loss_D_fake 0.020034
[696/5000][305/535][71642] Loss_D: -0.024070 Loss_G: 0.022599 Loss_D_real: -0.025781 Loss_D_fake -0.001711
[696/5000][310/535][71643] Loss_D: -0.024583 Loss_G: 0.006748 Loss_D_real: -0.013677 Loss_D_fake 0.010906
[696/5000][315/535][71644] Loss_D: -0.023707 Loss_G: 0.004288 Loss_D_real: -0.013272 Loss_D_fake 0.010435
[696/5000][320/535][71645] Loss_D: -0.023450 Loss_G: -0.002153 Loss_D_real: -0.004425 Loss_D_fake 0.019025
[696/5000][325/535][71646] Loss_D: -0.024635 Loss_G: 0.014710 Loss_D_real: -0.023348 Loss_D_fake 0.001287
[696/5000][330/535][71647] Loss_D: -0.025463 Loss_G: 0.004620 Loss_D_real: -0.015023 Loss_D_fake 0.010440
[696/5000][335/535][71648] Loss_D: -0.023765 Loss_G: 0.025114 Loss_D_real: -0.032038 Loss_D_fake -0.008273
[696/5000][340/535][71649] Loss_D: -0.024618 Loss_G: -0.012908 Loss_D_real: -0.017606 Loss_D_fake 0.007012
[696/5000][345/535][71650] Loss_D: -0.023083 Loss_G: -0.001051 Loss_D_real: -0.011342 Loss_D_fake 0.011741
[696/5000][350/535][71651] Loss_D: -0.024332 Loss_G: 0.021746 Loss_D_real: -0.025623 Loss_D_fake -0.001291
[696/5000][355/535][71652] Loss_D: -0.023225 Loss_G: 0.020421 Loss_D_real: -0.036528 Loss_D_fake -0.013303
[696/5000][360/535][71653] Loss_D: -0.024991 Loss_G: 0.023767 Loss_D_real: -0.033463 Loss_D_fake -0.008471
[696/5000][365/535][71654] Loss_D: -0.023351 Loss_G: 0.000228 Loss_D_real: -0.007558 Loss_D_fake 0.015793
[696/5000][370/535][71655] Loss_D: -0.024037 Loss_G: -0.000248 Loss_D_real: -0.012479 Loss_D_fake 0.011558
[696/5000][375/535][71656] Loss_D: -0.024947 Loss_G: 0.021574 Loss_D_real: -0.023129 Loss_D_fake 0.001817
[696/5000][380/535][71657] Loss_D: -0.024043 Loss_G: 0.013002 Loss_D_real: -0.027148 Loss_D_fake -0.003105
[696/5000][385/535][71658] Loss_D: -0.022851 Loss_G: 0.021856 Loss_D_real: -0.031920 Loss_D_fake -0.009069
[696/5000][390/535][71659] Loss_D: -0.023458 Loss_G: -0.016271 Loss_D_real: -0.003891 Loss_D_fake 0.019567
[696/5000][395/535][71660] Loss_D: -0.024440 Loss_G: 0.020931 Loss_D_real: -0.029049 Loss_D_fake -0.004609
[696/5000][400/535][71661] Loss_D: -0.023449 Loss_G: 0.022401 Loss_D_real: -0.031331 Loss_D_fake -0.007882
[696/5000][405/535][71662] Loss_D: -0.026186 Loss_G: 0.001006 Loss_D_real: -0.017567 Loss_D_fake 0.008619
[696/5000][410/535][71663] Loss_D: -0.024848 Loss_G: 0.016050 Loss_D_real: -0.026216 Loss_D_fake -0.001368
[696/5000][415/535][71664] Loss_D: -0.025337 Loss_G: -0.001325 Loss_D_real: -0.021042 Loss_D_fake 0.004295
[696/5000][420/535][71665] Loss_D: -0.024245 Loss_G: 0.012241 Loss_D_real: -0.016821 Loss_D_fake 0.007424
[696/5000][425/535][71666] Loss_D: -0.022805 Loss_G: 0.015937 Loss_D_real: -0.019751 Loss_D_fake 0.003053
[696/5000][430/535][71667] Loss_D: -0.026075 Loss_G: 0.011143 Loss_D_real: -0.024192 Loss_D_fake 0.001883
[696/5000][435/535][71668] Loss_D: -0.023512 Loss_G: 0.021010 Loss_D_real: -0.027495 Loss_D_fake -0.003983
[696/5000][440/535][71669] Loss_D: -0.024674 Loss_G: 0.015698 Loss_D_real: -0.031504 Loss_D_fake -0.006830
[696/5000][445/535][71670] Loss_D: -0.024196 Loss_G: 0.020681 Loss_D_real: -0.016157 Loss_D_fake 0.008039
[696/5000][450/535][71671] Loss_D: -0.024490 Loss_G: 0.006985 Loss_D_real: -0.024162 Loss_D_fake 0.000328
[696/5000][455/535][71672] Loss_D: -0.023573 Loss_G: 0.020739 Loss_D_real: -0.031072 Loss_D_fake -0.007499
[696/5000][460/535][71673] Loss_D: -0.025583 Loss_G: -0.003975 Loss_D_real: -0.013442 Loss_D_fake 0.012141
[696/5000][465/535][71674] Loss_D: -0.023123 Loss_G: 0.019455 Loss_D_real: -0.020941 Loss_D_fake 0.002182
[696/5000][470/535][71675] Loss_D: -0.024087 Loss_G: 0.019064 Loss_D_real: -0.029157 Loss_D_fake -0.005069
[696/5000][475/535][71676] Loss_D: -0.024730 Loss_G: 0.016927 Loss_D_real: -0.019494 Loss_D_fake 0.005236
[696/5000][480/535][71677] Loss_D: -0.025580 Loss_G: 0.000067 Loss_D_real: -0.022182 Loss_D_fake 0.003398
[696/5000][485/535][71678] Loss_D: -0.024197 Loss_G: 0.007144 Loss_D_real: -0.024242 Loss_D_fake -0.000045
[696/5000][490/535][71679] Loss_D: -0.024282 Loss_G: 0.018761 Loss_D_real: -0.018659 Loss_D_fake 0.005623
[696/5000][495/535][71680] Loss_D: -0.023124 Loss_G: 0.016934 Loss_D_real: -0.022110 Loss_D_fake 0.001014
[696/5000][500/535][71681] Loss_D: -0.024012 Loss_G: 0.019914 Loss_D_real: -0.037747 Loss_D_fake -0.013736
[696/5000][505/535][71682] Loss_D: -0.024274 Loss_G: 0.017691 Loss_D_real: -0.033014 Loss_D_fake -0.008740
[696/5000][510/535][71683] Loss_D: -0.023775 Loss_G: 0.029429 Loss_D_real: -0.031725 Loss_D_fake -0.007950
[696/5000][515/535][71684] Loss_D: -0.025001 Loss_G: 0.003343 Loss_D_real: -0.017330 Loss_D_fake 0.007671
[696/5000][520/535][71685] Loss_D: -0.025069 Loss_G: 0.003203 Loss_D_real: -0.023925 Loss_D_fake 0.001144
[696/5000][525/535][71686] Loss_D: -0.025421 Loss_G: 0.012065 Loss_D_real: -0.024183 Loss_D_fake 0.001238
[696/5000][530/535][71687] Loss_D: -0.025683 Loss_G: 0.015384 Loss_D_real: -0.029911 Loss_D_fake -0.004228
[696/5000][535/535][71688] Loss_D: -0.024604 Loss_G: 0.009493 Loss_D_real: -0.022591 Loss_D_fake 0.002013
[697/5000][5/535][71689] Loss_D: -0.025286 Loss_G: 0.017109 Loss_D_real: -0.029573 Loss_D_fake -0.004287
[697/5000][10/535][71690] Loss_D: -0.024636 Loss_G: 0.021235 Loss_D_real: -0.028532 Loss_D_fake -0.003896
[697/5000][15/535][71691] Loss_D: -0.025042 Loss_G: 0.014855 Loss_D_real: -0.029320 Loss_D_fake -0.004279
[697/5000][20/535][71692] Loss_D: -0.025803 Loss_G: 0.015191 Loss_D_real: -0.024625 Loss_D_fake 0.001178
[697/5000][25/535][71693] Loss_D: -0.023509 Loss_G: -0.002949 Loss_D_real: -0.011336 Loss_D_fake 0.012173
[697/5000][30/535][71694] Loss_D: -0.024250 Loss_G: -0.000450 Loss_D_real: -0.012900 Loss_D_fake 0.011350
[697/5000][35/535][71695] Loss_D: -0.023814 Loss_G: 0.024189 Loss_D_real: -0.023725 Loss_D_fake 0.000089
[697/5000][40/535][71696] Loss_D: -0.022328 Loss_G: -0.012605 Loss_D_real: -0.000963 Loss_D_fake 0.021365
[697/5000][45/535][71697] Loss_D: -0.022785 Loss_G: 0.021469 Loss_D_real: -0.033496 Loss_D_fake -0.010711
[697/5000][50/535][71698] Loss_D: -0.023414 Loss_G: 0.007240 Loss_D_real: -0.007346 Loss_D_fake 0.016068
[697/5000][55/535][71699] Loss_D: -0.025108 Loss_G: 0.004975 Loss_D_real: -0.013659 Loss_D_fake 0.011448
[697/5000][60/535][71700] Loss_D: -0.024237 Loss_G: 0.001096 Loss_D_real: -0.012909 Loss_D_fake 0.011328
[697/5000][65/535][71701] Loss_D: -0.024139 Loss_G: 0.012563 Loss_D_real: -0.017119 Loss_D_fake 0.007021
[697/5000][70/535][71702] Loss_D: -0.023642 Loss_G: 0.006684 Loss_D_real: -0.024099 Loss_D_fake -0.000457
[697/5000][75/535][71703] Loss_D: -0.024013 Loss_G: 0.021608 Loss_D_real: -0.035944 Loss_D_fake -0.011931
[697/5000][80/535][71704] Loss_D: -0.023508 Loss_G: 0.028555 Loss_D_real: -0.018290 Loss_D_fake 0.005218
[697/5000][85/535][71705] Loss_D: -0.023124 Loss_G: 0.002179 Loss_D_real: -0.014810 Loss_D_fake 0.008314
[697/5000][90/535][71706] Loss_D: -0.022028 Loss_G: -0.013359 Loss_D_real: -0.007548 Loss_D_fake 0.014480
[697/5000][95/535][71707] Loss_D: -0.024838 Loss_G: -0.007239 Loss_D_real: -0.014656 Loss_D_fake 0.010182
[697/5000][100/535][71708] Loss_D: -0.022190 Loss_G: 0.022806 Loss_D_real: -0.028867 Loss_D_fake -0.006677
[697/5000][105/535][71709] Loss_D: -0.024445 Loss_G: 0.000487 Loss_D_real: -0.012546 Loss_D_fake 0.011899
[697/5000][110/535][71710] Loss_D: -0.024701 Loss_G: 0.010496 Loss_D_real: -0.019903 Loss_D_fake 0.004799
[697/5000][115/535][71711] Loss_D: -0.023963 Loss_G: 0.021080 Loss_D_real: -0.024907 Loss_D_fake -0.000944
[697/5000][120/535][71712] Loss_D: -0.024308 Loss_G: -0.000852 Loss_D_real: -0.023588 Loss_D_fake 0.000721
[697/5000][125/535][71713] Loss_D: -0.025251 Loss_G: 0.024603 Loss_D_real: -0.029654 Loss_D_fake -0.004403
[697/5000][130/535][71714] Loss_D: -0.023300 Loss_G: 0.020509 Loss_D_real: -0.024209 Loss_D_fake -0.000909
[697/5000][135/535][71715] Loss_D: -0.023985 Loss_G: 0.012836 Loss_D_real: -0.021136 Loss_D_fake 0.002849
[697/5000][140/535][71716] Loss_D: -0.022649 Loss_G: 0.003174 Loss_D_real: -0.019215 Loss_D_fake 0.003434
[697/5000][145/535][71717] Loss_D: -0.024844 Loss_G: 0.010425 Loss_D_real: -0.012510 Loss_D_fake 0.012334
[697/5000][150/535][71718] Loss_D: -0.025446 Loss_G: 0.002424 Loss_D_real: -0.014719 Loss_D_fake 0.010727
[697/5000][155/535][71719] Loss_D: -0.024708 Loss_G: 0.008181 Loss_D_real: -0.019123 Loss_D_fake 0.005586
[697/5000][160/535][71720] Loss_D: -0.024868 Loss_G: 0.003835 Loss_D_real: -0.004631 Loss_D_fake 0.020237
[697/5000][165/535][71721] Loss_D: -0.023600 Loss_G: -0.004399 Loss_D_real: -0.008283 Loss_D_fake 0.015318
[697/5000][170/535][71722] Loss_D: -0.023899 Loss_G: 0.007822 Loss_D_real: -0.020904 Loss_D_fake 0.002994
[697/5000][175/535][71723] Loss_D: -0.024253 Loss_G: 0.016165 Loss_D_real: -0.021824 Loss_D_fake 0.002429
[697/5000][180/535][71724] Loss_D: -0.025554 Loss_G: -0.009681 Loss_D_real: -0.004509 Loss_D_fake 0.021045
[697/5000][185/535][71725] Loss_D: -0.023818 Loss_G: 0.034501 Loss_D_real: -0.028439 Loss_D_fake -0.004621
[697/5000][190/535][71726] Loss_D: -0.023473 Loss_G: 0.006193 Loss_D_real: -0.014091 Loss_D_fake 0.009382
[697/5000][195/535][71727] Loss_D: -0.025599 Loss_G: 0.002805 Loss_D_real: -0.021393 Loss_D_fake 0.004205
[697/5000][200/535][71728] Loss_D: -0.025755 Loss_G: 0.009381 Loss_D_real: -0.017269 Loss_D_fake 0.008486
[697/5000][205/535][71729] Loss_D: -0.024752 Loss_G: 0.015705 Loss_D_real: -0.015680 Loss_D_fake 0.009072
[697/5000][210/535][71730] Loss_D: -0.022297 Loss_G: 0.029609 Loss_D_real: -0.039570 Loss_D_fake -0.017274
[697/5000][215/535][71731] Loss_D: -0.023838 Loss_G: 0.010437 Loss_D_real: -0.027774 Loss_D_fake -0.003936
[697/5000][220/535][71732] Loss_D: -0.024272 Loss_G: 0.027956 Loss_D_real: -0.029692 Loss_D_fake -0.005419
[697/5000][225/535][71733] Loss_D: -0.024189 Loss_G: 0.008786 Loss_D_real: -0.022563 Loss_D_fake 0.001626
[697/5000][230/535][71734] Loss_D: -0.023645 Loss_G: 0.019057 Loss_D_real: -0.029256 Loss_D_fake -0.005611
[697/5000][235/535][71735] Loss_D: -0.024816 Loss_G: 0.020242 Loss_D_real: -0.029571 Loss_D_fake -0.004755
[697/5000][240/535][71736] Loss_D: -0.024726 Loss_G: 0.005197 Loss_D_real: -0.021848 Loss_D_fake 0.002878
[697/5000][245/535][71737] Loss_D: -0.024999 Loss_G: 0.008379 Loss_D_real: -0.025950 Loss_D_fake -0.000951
[697/5000][250/535][71738] Loss_D: -0.024280 Loss_G: 0.010567 Loss_D_real: -0.027727 Loss_D_fake -0.003447
[697/5000][255/535][71739] Loss_D: -0.025105 Loss_G: 0.029189 Loss_D_real: -0.022155 Loss_D_fake 0.002950
[697/5000][260/535][71740] Loss_D: -0.026317 Loss_G: -0.008116 Loss_D_real: -0.014649 Loss_D_fake 0.011668
[697/5000][265/535][71741] Loss_D: -0.023513 Loss_G: 0.004259 Loss_D_real: -0.003991 Loss_D_fake 0.019522
[697/5000][270/535][71742] Loss_D: -0.022954 Loss_G: 0.024626 Loss_D_real: -0.035701 Loss_D_fake -0.012746
[697/5000][275/535][71743] Loss_D: -0.025352 Loss_G: -0.007695 Loss_D_real: -0.013964 Loss_D_fake 0.011388
[697/5000][280/535][71744] Loss_D: -0.023989 Loss_G: 0.019616 Loss_D_real: -0.021422 Loss_D_fake 0.002567
[697/5000][285/535][71745] Loss_D: -0.023601 Loss_G: 0.023515 Loss_D_real: -0.021992 Loss_D_fake 0.001608
[697/5000][290/535][71746] Loss_D: -0.024372 Loss_G: 0.020580 Loss_D_real: -0.025354 Loss_D_fake -0.000983
[697/5000][295/535][71747] Loss_D: -0.024363 Loss_G: -0.011726 Loss_D_real: -0.013958 Loss_D_fake 0.010405
[697/5000][300/535][71748] Loss_D: -0.025572 Loss_G: 0.004095 Loss_D_real: -0.019586 Loss_D_fake 0.005986
[697/5000][305/535][71749] Loss_D: -0.025154 Loss_G: 0.010641 Loss_D_real: -0.022475 Loss_D_fake 0.002678
[697/5000][310/535][71750] Loss_D: -0.026520 Loss_G: 0.012575 Loss_D_real: -0.019454 Loss_D_fake 0.007065
[697/5000][315/535][71751] Loss_D: -0.024161 Loss_G: 0.008323 Loss_D_real: -0.019911 Loss_D_fake 0.004250
[697/5000][320/535][71752] Loss_D: -0.023009 Loss_G: 0.009036 Loss_D_real: -0.013707 Loss_D_fake 0.009302
[697/5000][325/535][71753] Loss_D: -0.023125 Loss_G: -0.020360 Loss_D_real: -0.003398 Loss_D_fake 0.019727
[697/5000][330/535][71754] Loss_D: -0.024117 Loss_G: 0.020047 Loss_D_real: -0.015015 Loss_D_fake 0.009102
[697/5000][335/535][71755] Loss_D: -0.023724 Loss_G: 0.017209 Loss_D_real: -0.020199 Loss_D_fake 0.003524
[697/5000][340/535][71756] Loss_D: -0.024177 Loss_G: 0.017520 Loss_D_real: -0.030394 Loss_D_fake -0.006217
[697/5000][345/535][71757] Loss_D: -0.024168 Loss_G: -0.003982 Loss_D_real: 0.001472 Loss_D_fake 0.025640
[697/5000][350/535][71758] Loss_D: -0.023832 Loss_G: 0.002108 Loss_D_real: -0.024189 Loss_D_fake -0.000357
[697/5000][355/535][71759] Loss_D: -0.024086 Loss_G: 0.004190 Loss_D_real: -0.017577 Loss_D_fake 0.006509
[697/5000][360/535][71760] Loss_D: -0.025844 Loss_G: 0.018208 Loss_D_real: -0.014069 Loss_D_fake 0.011775
[697/5000][365/535][71761] Loss_D: -0.023642 Loss_G: -0.004074 Loss_D_real: -0.006968 Loss_D_fake 0.016673
[697/5000][370/535][71762] Loss_D: -0.022911 Loss_G: 0.001612 Loss_D_real: -0.008805 Loss_D_fake 0.014106
[697/5000][375/535][71763] Loss_D: -0.023387 Loss_G: 0.016232 Loss_D_real: -0.023512 Loss_D_fake -0.000125
[697/5000][380/535][71764] Loss_D: -0.024167 Loss_G: -0.008113 Loss_D_real: -0.019796 Loss_D_fake 0.004371
[697/5000][385/535][71765] Loss_D: -0.022921 Loss_G: -0.003960 Loss_D_real: -0.016560 Loss_D_fake 0.006361
[697/5000][390/535][71766] Loss_D: -0.022942 Loss_G: -0.011268 Loss_D_real: -0.000996 Loss_D_fake 0.021946
[697/5000][395/535][71767] Loss_D: -0.024251 Loss_G: 0.004029 Loss_D_real: -0.016920 Loss_D_fake 0.007331
[697/5000][400/535][71768] Loss_D: -0.024344 Loss_G: 0.019837 Loss_D_real: -0.018362 Loss_D_fake 0.005982
[697/5000][405/535][71769] Loss_D: -0.023590 Loss_G: 0.017813 Loss_D_real: -0.023158 Loss_D_fake 0.000432
[697/5000][410/535][71770] Loss_D: -0.023039 Loss_G: -0.004484 Loss_D_real: -0.004261 Loss_D_fake 0.018778
[697/5000][415/535][71771] Loss_D: -0.023080 Loss_G: 0.010799 Loss_D_real: -0.017151 Loss_D_fake 0.005929
[697/5000][420/535][71772] Loss_D: -0.023562 Loss_G: 0.023394 Loss_D_real: -0.031515 Loss_D_fake -0.007953
[697/5000][425/535][71773] Loss_D: -0.024538 Loss_G: 0.011126 Loss_D_real: -0.016233 Loss_D_fake 0.008305
[697/5000][430/535][71774] Loss_D: -0.025338 Loss_G: 0.000951 Loss_D_real: -0.014103 Loss_D_fake 0.011235
[697/5000][435/535][71775] Loss_D: -0.023982 Loss_G: 0.010435 Loss_D_real: -0.025258 Loss_D_fake -0.001276
[697/5000][440/535][71776] Loss_D: -0.023840 Loss_G: 0.021621 Loss_D_real: -0.029497 Loss_D_fake -0.005657
[697/5000][445/535][71777] Loss_D: -0.023778 Loss_G: 0.007716 Loss_D_real: -0.018050 Loss_D_fake 0.005728
[697/5000][450/535][71778] Loss_D: -0.024180 Loss_G: -0.002585 Loss_D_real: -0.013055 Loss_D_fake 0.011125
[697/5000][455/535][71779] Loss_D: -0.025427 Loss_G: 0.017536 Loss_D_real: -0.020841 Loss_D_fake 0.004585
[697/5000][460/535][71780] Loss_D: -0.024912 Loss_G: 0.018701 Loss_D_real: -0.026488 Loss_D_fake -0.001575
[697/5000][465/535][71781] Loss_D: -0.024740 Loss_G: 0.008782 Loss_D_real: -0.019418 Loss_D_fake 0.005322
[697/5000][470/535][71782] Loss_D: -0.024544 Loss_G: 0.011464 Loss_D_real: -0.022315 Loss_D_fake 0.002229
[697/5000][475/535][71783] Loss_D: -0.024815 Loss_G: 0.013226 Loss_D_real: -0.028681 Loss_D_fake -0.003866
[697/5000][480/535][71784] Loss_D: -0.024306 Loss_G: 0.035046 Loss_D_real: -0.029336 Loss_D_fake -0.005029
[697/5000][485/535][71785] Loss_D: -0.023488 Loss_G: 0.007485 Loss_D_real: -0.018195 Loss_D_fake 0.005293
[697/5000][490/535][71786] Loss_D: -0.024321 Loss_G: 0.019014 Loss_D_real: -0.028152 Loss_D_fake -0.003831
[697/5000][495/535][71787] Loss_D: -0.023965 Loss_G: 0.024510 Loss_D_real: -0.026870 Loss_D_fake -0.002905
[697/5000][500/535][71788] Loss_D: -0.023481 Loss_G: -0.018925 Loss_D_real: -0.003588 Loss_D_fake 0.019893
[697/5000][505/535][71789] Loss_D: -0.023417 Loss_G: 0.012060 Loss_D_real: -0.023963 Loss_D_fake -0.000546
[697/5000][510/535][71790] Loss_D: -0.023307 Loss_G: 0.025591 Loss_D_real: -0.023761 Loss_D_fake -0.000454
[697/5000][515/535][71791] Loss_D: -0.025015 Loss_G: 0.009199 Loss_D_real: -0.032201 Loss_D_fake -0.007186
[697/5000][520/535][71792] Loss_D: -0.024719 Loss_G: -0.001852 Loss_D_real: -0.017101 Loss_D_fake 0.007617
[697/5000][525/535][71793] Loss_D: -0.024361 Loss_G: 0.019328 Loss_D_real: -0.028865 Loss_D_fake -0.004504
[697/5000][530/535][71794] Loss_D: -0.024552 Loss_G: 0.017516 Loss_D_real: -0.022643 Loss_D_fake 0.001908
[697/5000][535/535][71795] Loss_D: -0.025571 Loss_G: -0.022736 Loss_D_real: -0.026923 Loss_D_fake -0.001352
[698/5000][5/535][71796] Loss_D: -0.024545 Loss_G: 0.010868 Loss_D_real: -0.016204 Loss_D_fake 0.008342
[698/5000][10/535][71797] Loss_D: -0.024021 Loss_G: -0.005258 Loss_D_real: -0.010406 Loss_D_fake 0.013616
[698/5000][15/535][71798] Loss_D: -0.024942 Loss_G: 0.016033 Loss_D_real: -0.020190 Loss_D_fake 0.004751
[698/5000][20/535][71799] Loss_D: -0.025401 Loss_G: 0.014326 Loss_D_real: -0.013934 Loss_D_fake 0.011468
[698/5000][25/535][71800] Loss_D: -0.024496 Loss_G: 0.024443 Loss_D_real: -0.033958 Loss_D_fake -0.009462
[698/5000][30/535][71801] Loss_D: -0.023658 Loss_G: 0.002793 Loss_D_real: -0.016415 Loss_D_fake 0.007243
[698/5000][35/535][71802] Loss_D: -0.024320 Loss_G: 0.011741 Loss_D_real: -0.016469 Loss_D_fake 0.007852
[698/5000][40/535][71803] Loss_D: -0.024466 Loss_G: 0.005070 Loss_D_real: -0.021362 Loss_D_fake 0.003105
[698/5000][45/535][71804] Loss_D: -0.023907 Loss_G: 0.024410 Loss_D_real: -0.023049 Loss_D_fake 0.000858
[698/5000][50/535][71805] Loss_D: -0.024094 Loss_G: -0.008822 Loss_D_real: -0.011565 Loss_D_fake 0.012529
[698/5000][55/535][71806] Loss_D: -0.024307 Loss_G: 0.013548 Loss_D_real: -0.036164 Loss_D_fake -0.011857
[698/5000][60/535][71807] Loss_D: -0.025020 Loss_G: 0.007634 Loss_D_real: -0.020316 Loss_D_fake 0.004703
[698/5000][65/535][71808] Loss_D: -0.025156 Loss_G: 0.020380 Loss_D_real: -0.022173 Loss_D_fake 0.002983
[698/5000][70/535][71809] Loss_D: -0.024566 Loss_G: 0.000419 Loss_D_real: -0.020130 Loss_D_fake 0.004436
[698/5000][75/535][71810] Loss_D: -0.024539 Loss_G: 0.007058 Loss_D_real: -0.018716 Loss_D_fake 0.005824
[698/5000][80/535][71811] Loss_D: -0.024441 Loss_G: 0.009438 Loss_D_real: -0.022087 Loss_D_fake 0.002353
[698/5000][85/535][71812] Loss_D: -0.024258 Loss_G: 0.004878 Loss_D_real: -0.016464 Loss_D_fake 0.007794
[698/5000][90/535][71813] Loss_D: -0.024258 Loss_G: -0.003987 Loss_D_real: -0.003941 Loss_D_fake 0.020317
[698/5000][95/535][71814] Loss_D: -0.023513 Loss_G: 0.015677 Loss_D_real: -0.026044 Loss_D_fake -0.002530
[698/5000][100/535][71815] Loss_D: -0.024991 Loss_G: -0.002076 Loss_D_real: -0.016512 Loss_D_fake 0.008479
[698/5000][105/535][71816] Loss_D: -0.023786 Loss_G: 0.012649 Loss_D_real: -0.019214 Loss_D_fake 0.004573
[698/5000][110/535][71817] Loss_D: -0.024836 Loss_G: 0.031088 Loss_D_real: -0.020625 Loss_D_fake 0.004211
[698/5000][115/535][71818] Loss_D: -0.023496 Loss_G: 0.019484 Loss_D_real: -0.041536 Loss_D_fake -0.018040
[698/5000][120/535][71819] Loss_D: -0.023893 Loss_G: 0.023791 Loss_D_real: -0.033917 Loss_D_fake -0.010023
[698/5000][125/535][71820] Loss_D: -0.025615 Loss_G: -0.003641 Loss_D_real: -0.024341 Loss_D_fake 0.001274
[698/5000][130/535][71821] Loss_D: -0.023702 Loss_G: 0.028782 Loss_D_real: -0.033442 Loss_D_fake -0.009740
[698/5000][135/535][71822] Loss_D: -0.025357 Loss_G: -0.000156 Loss_D_real: -0.005820 Loss_D_fake 0.019537
[698/5000][140/535][71823] Loss_D: -0.024943 Loss_G: 0.013757 Loss_D_real: -0.015203 Loss_D_fake 0.009740
[698/5000][145/535][71824] Loss_D: -0.024751 Loss_G: 0.004957 Loss_D_real: -0.021663 Loss_D_fake 0.003088
[698/5000][150/535][71825] Loss_D: -0.024689 Loss_G: 0.005065 Loss_D_real: -0.017197 Loss_D_fake 0.007493
[698/5000][155/535][71826] Loss_D: -0.024098 Loss_G: 0.021068 Loss_D_real: -0.020325 Loss_D_fake 0.003773
[698/5000][160/535][71827] Loss_D: -0.023438 Loss_G: -0.006616 Loss_D_real: -0.009794 Loss_D_fake 0.013643
[698/5000][165/535][71828] Loss_D: -0.024915 Loss_G: 0.015971 Loss_D_real: -0.033291 Loss_D_fake -0.008376
[698/5000][170/535][71829] Loss_D: -0.024735 Loss_G: 0.012817 Loss_D_real: -0.018855 Loss_D_fake 0.005880
[698/5000][175/535][71830] Loss_D: -0.023671 Loss_G: 0.015088 Loss_D_real: -0.028394 Loss_D_fake -0.004723
[698/5000][180/535][71831] Loss_D: -0.024068 Loss_G: 0.026188 Loss_D_real: -0.022233 Loss_D_fake 0.001834
[698/5000][185/535][71832] Loss_D: -0.024642 Loss_G: 0.008194 Loss_D_real: -0.016074 Loss_D_fake 0.008568
[698/5000][190/535][71833] Loss_D: -0.024622 Loss_G: -0.004528 Loss_D_real: -0.006929 Loss_D_fake 0.017693
[698/5000][195/535][71834] Loss_D: -0.022885 Loss_G: 0.006924 Loss_D_real: -0.021609 Loss_D_fake 0.001276
[698/5000][200/535][71835] Loss_D: -0.025435 Loss_G: 0.012186 Loss_D_real: -0.022568 Loss_D_fake 0.002866
[698/5000][205/535][71836] Loss_D: -0.024684 Loss_G: 0.006226 Loss_D_real: -0.018560 Loss_D_fake 0.006124
[698/5000][210/535][71837] Loss_D: -0.023393 Loss_G: 0.003193 Loss_D_real: -0.008142 Loss_D_fake 0.015250
[698/5000][215/535][71838] Loss_D: -0.023265 Loss_G: -0.004742 Loss_D_real: -0.008691 Loss_D_fake 0.014575
[698/5000][220/535][71839] Loss_D: -0.022528 Loss_G: 0.020167 Loss_D_real: -0.033799 Loss_D_fake -0.011271
[698/5000][225/535][71840] Loss_D: -0.023728 Loss_G: 0.012093 Loss_D_real: -0.021456 Loss_D_fake 0.002272
[698/5000][230/535][71841] Loss_D: -0.023861 Loss_G: 0.002963 Loss_D_real: -0.012603 Loss_D_fake 0.011258
[698/5000][235/535][71842] Loss_D: -0.023676 Loss_G: 0.020076 Loss_D_real: -0.020273 Loss_D_fake 0.003402
[698/5000][240/535][71843] Loss_D: -0.024206 Loss_G: -0.000030 Loss_D_real: -0.009415 Loss_D_fake 0.014790
[698/5000][245/535][71844] Loss_D: -0.026466 Loss_G: 0.003040 Loss_D_real: -0.013912 Loss_D_fake 0.012554
[698/5000][250/535][71845] Loss_D: -0.024411 Loss_G: 0.031690 Loss_D_real: -0.031911 Loss_D_fake -0.007499
[698/5000][255/535][71846] Loss_D: -0.025795 Loss_G: 0.016460 Loss_D_real: -0.022801 Loss_D_fake 0.002994
[698/5000][260/535][71847] Loss_D: -0.023583 Loss_G: -0.002319 Loss_D_real: 0.003921 Loss_D_fake 0.027503
[698/5000][265/535][71848] Loss_D: -0.023185 Loss_G: 0.034539 Loss_D_real: -0.035610 Loss_D_fake -0.012425
[698/5000][270/535][71849] Loss_D: -0.024491 Loss_G: 0.017135 Loss_D_real: -0.014777 Loss_D_fake 0.009714
[698/5000][275/535][71850] Loss_D: -0.026334 Loss_G: -0.000430 Loss_D_real: -0.018812 Loss_D_fake 0.007522
[698/5000][280/535][71851] Loss_D: -0.024451 Loss_G: 0.012689 Loss_D_real: -0.021539 Loss_D_fake 0.002911
[698/5000][285/535][71852] Loss_D: -0.025864 Loss_G: 0.001600 Loss_D_real: -0.016351 Loss_D_fake 0.009513
[698/5000][290/535][71853] Loss_D: -0.025072 Loss_G: 0.012147 Loss_D_real: -0.026038 Loss_D_fake -0.000967
[698/5000][295/535][71854] Loss_D: -0.023547 Loss_G: 0.011881 Loss_D_real: -0.018898 Loss_D_fake 0.004649
[698/5000][300/535][71855] Loss_D: -0.024973 Loss_G: 0.005458 Loss_D_real: -0.027256 Loss_D_fake -0.002283
[698/5000][305/535][71856] Loss_D: -0.024508 Loss_G: -0.008484 Loss_D_real: -0.011096 Loss_D_fake 0.013412
[698/5000][310/535][71857] Loss_D: -0.023137 Loss_G: 0.022644 Loss_D_real: -0.025715 Loss_D_fake -0.002579
[698/5000][315/535][71858] Loss_D: -0.024036 Loss_G: 0.017679 Loss_D_real: -0.020721 Loss_D_fake 0.003314
[698/5000][320/535][71859] Loss_D: -0.023249 Loss_G: 0.002104 Loss_D_real: -0.014035 Loss_D_fake 0.009214
[698/5000][325/535][71860] Loss_D: -0.023730 Loss_G: 0.014339 Loss_D_real: -0.016359 Loss_D_fake 0.007371
[698/5000][330/535][71861] Loss_D: -0.023588 Loss_G: 0.006094 Loss_D_real: -0.009651 Loss_D_fake 0.013937
[698/5000][335/535][71862] Loss_D: -0.024994 Loss_G: -0.007268 Loss_D_real: -0.014405 Loss_D_fake 0.010589
[698/5000][340/535][71863] Loss_D: -0.024826 Loss_G: -0.005907 Loss_D_real: -0.004920 Loss_D_fake 0.019906
[698/5000][345/535][71864] Loss_D: -0.024611 Loss_G: 0.011510 Loss_D_real: -0.019258 Loss_D_fake 0.005353
[698/5000][350/535][71865] Loss_D: -0.024423 Loss_G: 0.008850 Loss_D_real: -0.011695 Loss_D_fake 0.012727
[698/5000][355/535][71866] Loss_D: -0.026097 Loss_G: 0.021255 Loss_D_real: -0.025479 Loss_D_fake 0.000618
[698/5000][360/535][71867] Loss_D: -0.025268 Loss_G: -0.011624 Loss_D_real: -0.014091 Loss_D_fake 0.011177
[698/5000][365/535][71868] Loss_D: -0.022981 Loss_G: 0.022260 Loss_D_real: -0.036876 Loss_D_fake -0.013895
[698/5000][370/535][71869] Loss_D: -0.023956 Loss_G: 0.007422 Loss_D_real: -0.023007 Loss_D_fake 0.000950
[698/5000][375/535][71870] Loss_D: -0.024204 Loss_G: 0.018398 Loss_D_real: -0.027700 Loss_D_fake -0.003497
[698/5000][380/535][71871] Loss_D: -0.024365 Loss_G: 0.005764 Loss_D_real: -0.008962 Loss_D_fake 0.015402
[698/5000][385/535][71872] Loss_D: -0.024060 Loss_G: 0.006933 Loss_D_real: -0.022345 Loss_D_fake 0.001714
[698/5000][390/535][71873] Loss_D: -0.023803 Loss_G: 0.006486 Loss_D_real: -0.021220 Loss_D_fake 0.002583
[698/5000][395/535][71874] Loss_D: -0.024447 Loss_G: -0.005427 Loss_D_real: -0.007555 Loss_D_fake 0.016892
[698/5000][400/535][71875] Loss_D: -0.023701 Loss_G: 0.021421 Loss_D_real: -0.025833 Loss_D_fake -0.002133
[698/5000][405/535][71876] Loss_D: -0.025562 Loss_G: 0.009489 Loss_D_real: -0.017912 Loss_D_fake 0.007650
[698/5000][410/535][71877] Loss_D: -0.025493 Loss_G: 0.014026 Loss_D_real: -0.017916 Loss_D_fake 0.007576
[698/5000][415/535][71878] Loss_D: -0.023549 Loss_G: 0.029752 Loss_D_real: -0.035609 Loss_D_fake -0.012060
[698/5000][420/535][71879] Loss_D: -0.023658 Loss_G: 0.014396 Loss_D_real: -0.027612 Loss_D_fake -0.003954
[698/5000][425/535][71880] Loss_D: -0.025541 Loss_G: -0.008993 Loss_D_real: -0.011743 Loss_D_fake 0.013798
[698/5000][430/535][71881] Loss_D: -0.022275 Loss_G: 0.021914 Loss_D_real: -0.032103 Loss_D_fake -0.009828
[698/5000][435/535][71882] Loss_D: -0.025065 Loss_G: 0.009521 Loss_D_real: -0.015601 Loss_D_fake 0.009464
[698/5000][440/535][71883] Loss_D: -0.024605 Loss_G: 0.010601 Loss_D_real: -0.021173 Loss_D_fake 0.003432
[698/5000][445/535][71884] Loss_D: -0.023253 Loss_G: 0.021405 Loss_D_real: -0.017436 Loss_D_fake 0.005817
[698/5000][450/535][71885] Loss_D: -0.022848 Loss_G: 0.018796 Loss_D_real: -0.019400 Loss_D_fake 0.003448
[698/5000][455/535][71886] Loss_D: -0.024025 Loss_G: 0.017283 Loss_D_real: -0.018352 Loss_D_fake 0.005673
[698/5000][460/535][71887] Loss_D: -0.023734 Loss_G: 0.012367 Loss_D_real: -0.019500 Loss_D_fake 0.004234
[698/5000][465/535][71888] Loss_D: -0.024864 Loss_G: -0.003050 Loss_D_real: -0.021962 Loss_D_fake 0.002903
[698/5000][470/535][71889] Loss_D: -0.025471 Loss_G: 0.009075 Loss_D_real: -0.033491 Loss_D_fake -0.008019
[698/5000][475/535][71890] Loss_D: -0.024570 Loss_G: 0.013403 Loss_D_real: -0.029754 Loss_D_fake -0.005185
[698/5000][480/535][71891] Loss_D: -0.024570 Loss_G: 0.013338 Loss_D_real: -0.019589 Loss_D_fake 0.004981
[698/5000][485/535][71892] Loss_D: -0.024287 Loss_G: -0.012853 Loss_D_real: -0.007723 Loss_D_fake 0.016564
[698/5000][490/535][71893] Loss_D: -0.024027 Loss_G: 0.008451 Loss_D_real: -0.020510 Loss_D_fake 0.003517
[698/5000][495/535][71894] Loss_D: -0.024830 Loss_G: 0.002702 Loss_D_real: -0.008408 Loss_D_fake 0.016422
[698/5000][500/535][71895] Loss_D: -0.021813 Loss_G: 0.009188 Loss_D_real: -0.011384 Loss_D_fake 0.010430
[698/5000][505/535][71896] Loss_D: -0.023295 Loss_G: 0.010167 Loss_D_real: -0.020950 Loss_D_fake 0.002345
[698/5000][510/535][71897] Loss_D: -0.024375 Loss_G: -0.003472 Loss_D_real: -0.007705 Loss_D_fake 0.016669
[698/5000][515/535][71898] Loss_D: -0.024181 Loss_G: 0.024041 Loss_D_real: -0.026187 Loss_D_fake -0.002006
[698/5000][520/535][71899] Loss_D: -0.024210 Loss_G: 0.020415 Loss_D_real: -0.031522 Loss_D_fake -0.007312
[698/5000][525/535][71900] Loss_D: -0.024739 Loss_G: 0.011709 Loss_D_real: -0.016419 Loss_D_fake 0.008319
[698/5000][530/535][71901] Loss_D: -0.025581 Loss_G: 0.018042 Loss_D_real: -0.021393 Loss_D_fake 0.004188
[698/5000][535/535][71902] Loss_D: -0.023876 Loss_G: 0.025843 Loss_D_real: -0.032800 Loss_D_fake -0.008924
[699/5000][5/535][71903] Loss_D: -0.024158 Loss_G: -0.002523 Loss_D_real: -0.004123 Loss_D_fake 0.020036
[699/5000][10/535][71904] Loss_D: -0.024076 Loss_G: 0.007791 Loss_D_real: -0.015785 Loss_D_fake 0.008291
[699/5000][15/535][71905] Loss_D: -0.023671 Loss_G: -0.013617 Loss_D_real: -0.016939 Loss_D_fake 0.006732
[699/5000][20/535][71906] Loss_D: -0.022864 Loss_G: 0.035198 Loss_D_real: -0.036014 Loss_D_fake -0.013150
[699/5000][25/535][71907] Loss_D: -0.023656 Loss_G: 0.015924 Loss_D_real: -0.025214 Loss_D_fake -0.001558
[699/5000][30/535][71908] Loss_D: -0.024844 Loss_G: 0.003350 Loss_D_real: -0.012267 Loss_D_fake 0.012577
[699/5000][35/535][71909] Loss_D: -0.024866 Loss_G: 0.003328 Loss_D_real: -0.020383 Loss_D_fake 0.004483
[699/5000][40/535][71910] Loss_D: -0.023907 Loss_G: 0.026167 Loss_D_real: -0.037698 Loss_D_fake -0.013791
[699/5000][45/535][71911] Loss_D: -0.023490 Loss_G: 0.011442 Loss_D_real: -0.017525 Loss_D_fake 0.005965
[699/5000][50/535][71912] Loss_D: -0.023387 Loss_G: 0.013913 Loss_D_real: -0.033306 Loss_D_fake -0.009919
[699/5000][55/535][71913] Loss_D: -0.024442 Loss_G: 0.006504 Loss_D_real: -0.011016 Loss_D_fake 0.013425
[699/5000][60/535][71914] Loss_D: -0.024254 Loss_G: -0.001548 Loss_D_real: -0.014532 Loss_D_fake 0.009722
[699/5000][65/535][71915] Loss_D: -0.024214 Loss_G: 0.023816 Loss_D_real: -0.026923 Loss_D_fake -0.002709
[699/5000][70/535][71916] Loss_D: -0.024160 Loss_G: 0.003658 Loss_D_real: -0.021155 Loss_D_fake 0.003005
[699/5000][75/535][71917] Loss_D: -0.025283 Loss_G: 0.014397 Loss_D_real: -0.021772 Loss_D_fake 0.003510
[699/5000][80/535][71918] Loss_D: -0.023010 Loss_G: 0.008441 Loss_D_real: -0.023615 Loss_D_fake -0.000605
[699/5000][85/535][71919] Loss_D: -0.023981 Loss_G: 0.001687 Loss_D_real: -0.015907 Loss_D_fake 0.008075
[699/5000][90/535][71920] Loss_D: -0.023170 Loss_G: -0.007198 Loss_D_real: -0.007887 Loss_D_fake 0.015282
[699/5000][95/535][71921] Loss_D: -0.024269 Loss_G: 0.004118 Loss_D_real: -0.010646 Loss_D_fake 0.013623
[699/5000][100/535][71922] Loss_D: -0.023620 Loss_G: 0.001644 Loss_D_real: -0.014506 Loss_D_fake 0.009114
[699/5000][105/535][71923] Loss_D: -0.024078 Loss_G: 0.021864 Loss_D_real: -0.027328 Loss_D_fake -0.003250
[699/5000][110/535][71924] Loss_D: -0.024922 Loss_G: 0.009760 Loss_D_real: -0.016970 Loss_D_fake 0.007951
[699/5000][115/535][71925] Loss_D: -0.024822 Loss_G: -0.009978 Loss_D_real: -0.009111 Loss_D_fake 0.015711
[699/5000][120/535][71926] Loss_D: -0.023932 Loss_G: 0.008168 Loss_D_real: -0.020986 Loss_D_fake 0.002946
[699/5000][125/535][71927] Loss_D: -0.024720 Loss_G: 0.019011 Loss_D_real: -0.023802 Loss_D_fake 0.000918
[699/5000][130/535][71928] Loss_D: -0.023210 Loss_G: 0.015134 Loss_D_real: -0.025649 Loss_D_fake -0.002439
[699/5000][135/535][71929] Loss_D: -0.024956 Loss_G: 0.005901 Loss_D_real: -0.010622 Loss_D_fake 0.014335
[699/5000][140/535][71930] Loss_D: -0.024240 Loss_G: 0.009437 Loss_D_real: -0.015684 Loss_D_fake 0.008557
[699/5000][145/535][71931] Loss_D: -0.024053 Loss_G: 0.027470 Loss_D_real: -0.030997 Loss_D_fake -0.006944
[699/5000][150/535][71932] Loss_D: -0.024704 Loss_G: 0.001237 Loss_D_real: -0.018726 Loss_D_fake 0.005978
[699/5000][155/535][71933] Loss_D: -0.024754 Loss_G: 0.006927 Loss_D_real: -0.019458 Loss_D_fake 0.005296
[699/5000][160/535][71934] Loss_D: -0.024882 Loss_G: 0.029239 Loss_D_real: -0.031629 Loss_D_fake -0.006747
[699/5000][165/535][71935] Loss_D: -0.025636 Loss_G: 0.004871 Loss_D_real: -0.016752 Loss_D_fake 0.008884
[699/5000][170/535][71936] Loss_D: -0.024878 Loss_G: 0.005607 Loss_D_real: -0.011708 Loss_D_fake 0.013170
[699/5000][175/535][71937] Loss_D: -0.025975 Loss_G: 0.019728 Loss_D_real: -0.022188 Loss_D_fake 0.003787
[699/5000][180/535][71938] Loss_D: -0.024453 Loss_G: 0.013055 Loss_D_real: -0.015549 Loss_D_fake 0.008904
[699/5000][185/535][71939] Loss_D: -0.026058 Loss_G: 0.014408 Loss_D_real: -0.017157 Loss_D_fake 0.008901
[699/5000][190/535][71940] Loss_D: -0.023693 Loss_G: 0.000892 Loss_D_real: -0.021560 Loss_D_fake 0.002134
[699/5000][195/535][71941] Loss_D: -0.023768 Loss_G: -0.002448 Loss_D_real: -0.004657 Loss_D_fake 0.019111
[699/5000][200/535][71942] Loss_D: -0.023183 Loss_G: -0.008570 Loss_D_real: -0.006472 Loss_D_fake 0.016711
[699/5000][205/535][71943] Loss_D: -0.023418 Loss_G: 0.009075 Loss_D_real: -0.030728 Loss_D_fake -0.007310
[699/5000][210/535][71944] Loss_D: -0.023317 Loss_G: 0.002296 Loss_D_real: -0.002886 Loss_D_fake 0.020431
[699/5000][215/535][71945] Loss_D: -0.024974 Loss_G: 0.014837 Loss_D_real: -0.025922 Loss_D_fake -0.000948
[699/5000][220/535][71946] Loss_D: -0.025103 Loss_G: 0.005370 Loss_D_real: -0.014071 Loss_D_fake 0.011032
[699/5000][225/535][71947] Loss_D: -0.024056 Loss_G: 0.018872 Loss_D_real: -0.020399 Loss_D_fake 0.003657
[699/5000][230/535][71948] Loss_D: -0.023852 Loss_G: -0.004748 Loss_D_real: -0.010532 Loss_D_fake 0.013320
[699/5000][235/535][71949] Loss_D: -0.022801 Loss_G: 0.007650 Loss_D_real: -0.035112 Loss_D_fake -0.012311
[699/5000][240/535][71950] Loss_D: -0.024237 Loss_G: 0.029565 Loss_D_real: -0.029322 Loss_D_fake -0.005085
[699/5000][245/535][71951] Loss_D: -0.023824 Loss_G: 0.019470 Loss_D_real: -0.031829 Loss_D_fake -0.008005
[699/5000][250/535][71952] Loss_D: -0.024016 Loss_G: 0.014755 Loss_D_real: -0.022693 Loss_D_fake 0.001323
[699/5000][255/535][71953] Loss_D: -0.024960 Loss_G: -0.007768 Loss_D_real: -0.010018 Loss_D_fake 0.014942
[699/5000][260/535][71954] Loss_D: -0.023712 Loss_G: 0.012880 Loss_D_real: -0.023263 Loss_D_fake 0.000449
[699/5000][265/535][71955] Loss_D: -0.024843 Loss_G: 0.013646 Loss_D_real: -0.021276 Loss_D_fake 0.003566
[699/5000][270/535][71956] Loss_D: -0.023358 Loss_G: 0.008511 Loss_D_real: -0.021950 Loss_D_fake 0.001408
[699/5000][275/535][71957] Loss_D: -0.023177 Loss_G: 0.005324 Loss_D_real: -0.017044 Loss_D_fake 0.006133
[699/5000][280/535][71958] Loss_D: -0.024448 Loss_G: 0.014285 Loss_D_real: -0.021871 Loss_D_fake 0.002577
[699/5000][285/535][71959] Loss_D: -0.024903 Loss_G: -0.003123 Loss_D_real: -0.011095 Loss_D_fake 0.013808
[699/5000][290/535][71960] Loss_D: -0.024149 Loss_G: 0.007534 Loss_D_real: -0.027997 Loss_D_fake -0.003848
[699/5000][295/535][71961] Loss_D: -0.024790 Loss_G: 0.001043 Loss_D_real: -0.006787 Loss_D_fake 0.018002
[699/5000][300/535][71962] Loss_D: -0.022667 Loss_G: 0.025857 Loss_D_real: -0.044012 Loss_D_fake -0.021346
[699/5000][305/535][71963] Loss_D: -0.025218 Loss_G: 0.010358 Loss_D_real: -0.009377 Loss_D_fake 0.015842
[699/5000][310/535][71964] Loss_D: -0.024576 Loss_G: 0.016213 Loss_D_real: -0.032963 Loss_D_fake -0.008387
[699/5000][315/535][71965] Loss_D: -0.025190 Loss_G: 0.013829 Loss_D_real: -0.025530 Loss_D_fake -0.000340
[699/5000][320/535][71966] Loss_D: -0.025899 Loss_G: 0.011567 Loss_D_real: -0.023030 Loss_D_fake 0.002869
[699/5000][325/535][71967] Loss_D: -0.023414 Loss_G: 0.017897 Loss_D_real: -0.030339 Loss_D_fake -0.006925
[699/5000][330/535][71968] Loss_D: -0.024077 Loss_G: 0.019277 Loss_D_real: -0.034302 Loss_D_fake -0.010226
[699/5000][335/535][71969] Loss_D: -0.024095 Loss_G: -0.001442 Loss_D_real: -0.012527 Loss_D_fake 0.011569
[699/5000][340/535][71970] Loss_D: -0.025206 Loss_G: 0.018339 Loss_D_real: -0.030894 Loss_D_fake -0.005688
[699/5000][345/535][71971] Loss_D: -0.023873 Loss_G: -0.008740 Loss_D_real: -0.007166 Loss_D_fake 0.016707
[699/5000][350/535][71972] Loss_D: -0.023927 Loss_G: 0.018802 Loss_D_real: -0.039039 Loss_D_fake -0.015111
[699/5000][355/535][71973] Loss_D: -0.022500 Loss_G: -0.011758 Loss_D_real: 0.001624 Loss_D_fake 0.024124
[699/5000][360/535][71974] Loss_D: -0.024529 Loss_G: 0.017442 Loss_D_real: -0.023003 Loss_D_fake 0.001525
[699/5000][365/535][71975] Loss_D: -0.025077 Loss_G: 0.010071 Loss_D_real: -0.022943 Loss_D_fake 0.002134
[699/5000][370/535][71976] Loss_D: -0.023143 Loss_G: 0.011433 Loss_D_real: -0.026134 Loss_D_fake -0.002991
[699/5000][375/535][71977] Loss_D: -0.023615 Loss_G: 0.020464 Loss_D_real: -0.026136 Loss_D_fake -0.002521
[699/5000][380/535][71978] Loss_D: -0.023356 Loss_G: 0.012171 Loss_D_real: -0.026668 Loss_D_fake -0.003312
[699/5000][385/535][71979] Loss_D: -0.025081 Loss_G: 0.011639 Loss_D_real: -0.025058 Loss_D_fake 0.000023
[699/5000][390/535][71980] Loss_D: -0.023978 Loss_G: -0.001335 Loss_D_real: -0.016629 Loss_D_fake 0.007350
[699/5000][395/535][71981] Loss_D: -0.023585 Loss_G: 0.005138 Loss_D_real: -0.009192 Loss_D_fake 0.014393
[699/5000][400/535][71982] Loss_D: -0.024597 Loss_G: 0.003873 Loss_D_real: -0.008391 Loss_D_fake 0.016206
[699/5000][405/535][71983] Loss_D: -0.023415 Loss_G: 0.019696 Loss_D_real: -0.018792 Loss_D_fake 0.004624
[699/5000][410/535][71984] Loss_D: -0.024761 Loss_G: 0.009712 Loss_D_real: -0.030159 Loss_D_fake -0.005398
[699/5000][415/535][71985] Loss_D: -0.024216 Loss_G: 0.014620 Loss_D_real: -0.023077 Loss_D_fake 0.001139
[699/5000][420/535][71986] Loss_D: -0.023397 Loss_G: -0.002574 Loss_D_real: -0.007167 Loss_D_fake 0.016231
[699/5000][425/535][71987] Loss_D: -0.024105 Loss_G: -0.010841 Loss_D_real: -0.015086 Loss_D_fake 0.009019
[699/5000][430/535][71988] Loss_D: -0.022309 Loss_G: -0.010039 Loss_D_real: -0.010833 Loss_D_fake 0.011476
[699/5000][435/535][71989] Loss_D: -0.023950 Loss_G: 0.029764 Loss_D_real: -0.042361 Loss_D_fake -0.018411
[699/5000][440/535][71990] Loss_D: -0.024754 Loss_G: 0.007153 Loss_D_real: -0.015066 Loss_D_fake 0.009688
[699/5000][445/535][71991] Loss_D: -0.024405 Loss_G: 0.008621 Loss_D_real: -0.026128 Loss_D_fake -0.001723
[699/5000][450/535][71992] Loss_D: -0.025105 Loss_G: 0.007665 Loss_D_real: -0.023598 Loss_D_fake 0.001507
[699/5000][455/535][71993] Loss_D: -0.024569 Loss_G: 0.015610 Loss_D_real: -0.023473 Loss_D_fake 0.001095
[699/5000][460/535][71994] Loss_D: -0.024674 Loss_G: 0.019545 Loss_D_real: -0.018134 Loss_D_fake 0.006540
[699/5000][465/535][71995] Loss_D: -0.024622 Loss_G: 0.009045 Loss_D_real: -0.021838 Loss_D_fake 0.002784
[699/5000][470/535][71996] Loss_D: -0.024767 Loss_G: 0.004924 Loss_D_real: -0.012020 Loss_D_fake 0.012747
[699/5000][475/535][71997] Loss_D: -0.025296 Loss_G: 0.004723 Loss_D_real: -0.006101 Loss_D_fake 0.019196
[699/5000][480/535][71998] Loss_D: -0.024028 Loss_G: 0.023651 Loss_D_real: -0.027116 Loss_D_fake -0.003088
[699/5000][485/535][71999] Loss_D: -0.023745 Loss_G: -0.016911 Loss_D_real: -0.001987 Loss_D_fake 0.021758
[699/5000][490/535][72000] Loss_D: -0.024928 Loss_G: 0.019812 Loss_D_real: -0.015662 Loss_D_fake 0.009266
[699/5000][535/535][72001] Loss_D: -0.029520 Loss_G: 0.019796 Loss_D_real: -0.017747 Loss_D_fake 0.011773
[700/5000][5/535][72002] Loss_D: -0.028331 Loss_G: 0.000255 Loss_D_real: -0.017517 Loss_D_fake 0.010814
[700/5000][10/535][72003] Loss_D: -0.024644 Loss_G: 0.006437 Loss_D_real: -0.013950 Loss_D_fake 0.010695
[700/5000][15/535][72004] Loss_D: -0.023398 Loss_G: 0.000747 Loss_D_real: -0.016054 Loss_D_fake 0.007343
[700/5000][20/535][72005] Loss_D: -0.024095 Loss_G: 0.010609 Loss_D_real: -0.016069 Loss_D_fake 0.008026
[700/5000][25/535][72006] Loss_D: -0.024571 Loss_G: 0.030283 Loss_D_real: -0.033705 Loss_D_fake -0.009134
[700/5000][30/535][72007] Loss_D: -0.022800 Loss_G: 0.023625 Loss_D_real: -0.034860 Loss_D_fake -0.012060
[700/5000][35/535][72008] Loss_D: -0.023186 Loss_G: -0.001691 Loss_D_real: -0.007561 Loss_D_fake 0.015624
[700/5000][40/535][72009] Loss_D: -0.024383 Loss_G: 0.015393 Loss_D_real: -0.030901 Loss_D_fake -0.006518
[700/5000][45/535][72010] Loss_D: -0.022692 Loss_G: 0.011029 Loss_D_real: -0.033306 Loss_D_fake -0.010615
[700/5000][50/535][72011] Loss_D: -0.024152 Loss_G: 0.023414 Loss_D_real: -0.028209 Loss_D_fake -0.004057
[700/5000][55/535][72012] Loss_D: -0.023765 Loss_G: 0.016413 Loss_D_real: -0.026948 Loss_D_fake -0.003183
[700/5000][60/535][72013] Loss_D: -0.025307 Loss_G: 0.006966 Loss_D_real: -0.019889 Loss_D_fake 0.005418
[700/5000][65/535][72014] Loss_D: -0.024539 Loss_G: 0.024074 Loss_D_real: -0.027474 Loss_D_fake -0.002936
[700/5000][70/535][72015] Loss_D: -0.024374 Loss_G: -0.004196 Loss_D_real: -0.007111 Loss_D_fake 0.017263
[700/5000][75/535][72016] Loss_D: -0.024593 Loss_G: 0.021038 Loss_D_real: -0.017948 Loss_D_fake 0.006645
[700/5000][80/535][72017] Loss_D: -0.026687 Loss_G: -0.003703 Loss_D_real: -0.027731 Loss_D_fake -0.001044
[700/5000][85/535][72018] Loss_D: -0.025445 Loss_G: -0.000985 Loss_D_real: -0.013865 Loss_D_fake 0.011580
[700/5000][90/535][72019] Loss_D: -0.024680 Loss_G: 0.013936 Loss_D_real: -0.028916 Loss_D_fake -0.004236
[700/5000][95/535][72020] Loss_D: -0.024538 Loss_G: 0.003098 Loss_D_real: -0.007138 Loss_D_fake 0.017401
[700/5000][100/535][72021] Loss_D: -0.024225 Loss_G: 0.008149 Loss_D_real: -0.018382 Loss_D_fake 0.005842
[700/5000][105/535][72022] Loss_D: -0.024364 Loss_G: 0.008905 Loss_D_real: -0.027724 Loss_D_fake -0.003360
[700/5000][110/535][72023] Loss_D: -0.025043 Loss_G: 0.013268 Loss_D_real: -0.018523 Loss_D_fake 0.006520
[700/5000][115/535][72024] Loss_D: -0.023986 Loss_G: 0.008801 Loss_D_real: -0.026593 Loss_D_fake -0.002607
[700/5000][120/535][72025] Loss_D: -0.024954 Loss_G: -0.007010 Loss_D_real: -0.001900 Loss_D_fake 0.023054
[700/5000][125/535][72026] Loss_D: -0.025639 Loss_G: 0.018116 Loss_D_real: -0.018709 Loss_D_fake 0.006931
[700/5000][130/535][72027] Loss_D: -0.022785 Loss_G: -0.017772 Loss_D_real: 0.000004 Loss_D_fake 0.022789
[700/5000][135/535][72028] Loss_D: -0.024790 Loss_G: 0.002011 Loss_D_real: -0.017139 Loss_D_fake 0.007652
[700/5000][140/535][72029] Loss_D: -0.024289 Loss_G: 0.022044 Loss_D_real: -0.019493 Loss_D_fake 0.004795
[700/5000][145/535][72030] Loss_D: -0.024125 Loss_G: -0.003699 Loss_D_real: -0.004119 Loss_D_fake 0.020006
[700/5000][150/535][72031] Loss_D: -0.023149 Loss_G: 0.026017 Loss_D_real: -0.024969 Loss_D_fake -0.001820
[700/5000][155/535][72032] Loss_D: -0.023312 Loss_G: -0.011538 Loss_D_real: -0.015117 Loss_D_fake 0.008195
[700/5000][160/535][72033] Loss_D: -0.023657 Loss_G: 0.019620 Loss_D_real: -0.023576 Loss_D_fake 0.000082
[700/5000][165/535][72034] Loss_D: -0.023900 Loss_G: 0.002358 Loss_D_real: -0.020560 Loss_D_fake 0.003341
[700/5000][170/535][72035] Loss_D: -0.024401 Loss_G: 0.013877 Loss_D_real: -0.012135 Loss_D_fake 0.012266
[700/5000][175/535][72036] Loss_D: -0.023852 Loss_G: 0.016752 Loss_D_real: -0.020990 Loss_D_fake 0.002863
[700/5000][180/535][72037] Loss_D: -0.024768 Loss_G: -0.002898 Loss_D_real: -0.007280 Loss_D_fake 0.017488
[700/5000][185/535][72038] Loss_D: -0.023929 Loss_G: 0.002848 Loss_D_real: -0.011692 Loss_D_fake 0.012237
[700/5000][190/535][72039] Loss_D: -0.024093 Loss_G: -0.005702 Loss_D_real: -0.011959 Loss_D_fake 0.012134
[700/5000][195/535][72040] Loss_D: -0.022367 Loss_G: 0.016619 Loss_D_real: -0.027416 Loss_D_fake -0.005049
[700/5000][200/535][72041] Loss_D: -0.024603 Loss_G: 0.017769 Loss_D_real: -0.027126 Loss_D_fake -0.002523
[700/5000][205/535][72042] Loss_D: -0.025244 Loss_G: 0.016340 Loss_D_real: -0.018946 Loss_D_fake 0.006298
[700/5000][210/535][72043] Loss_D: -0.025491 Loss_G: -0.003439 Loss_D_real: -0.013676 Loss_D_fake 0.011815
[700/5000][215/535][72044] Loss_D: -0.023743 Loss_G: 0.011177 Loss_D_real: -0.030185 Loss_D_fake -0.006441
[700/5000][220/535][72045] Loss_D: -0.023796 Loss_G: 0.001022 Loss_D_real: -0.013940 Loss_D_fake 0.009856
[700/5000][225/535][72046] Loss_D: -0.025544 Loss_G: 0.008599 Loss_D_real: -0.011549 Loss_D_fake 0.013995
[700/5000][230/535][72047] Loss_D: -0.024640 Loss_G: 0.018285 Loss_D_real: -0.025469 Loss_D_fake -0.000828
[700/5000][235/535][72048] Loss_D: -0.024264 Loss_G: 0.022139 Loss_D_real: -0.016997 Loss_D_fake 0.007267
[700/5000][240/535][72049] Loss_D: -0.024913 Loss_G: -0.004603 Loss_D_real: -0.011056 Loss_D_fake 0.013857
[700/5000][245/535][72050] Loss_D: -0.025121 Loss_G: -0.009025 Loss_D_real: -0.011736 Loss_D_fake 0.013385
[700/5000][250/535][72051] Loss_D: -0.025075 Loss_G: 0.016553 Loss_D_real: -0.021648 Loss_D_fake 0.003427
[700/5000][255/535][72052] Loss_D: -0.022908 Loss_G: 0.032808 Loss_D_real: -0.021607 Loss_D_fake 0.001300
[700/5000][260/535][72053] Loss_D: -0.024347 Loss_G: 0.013791 Loss_D_real: -0.023838 Loss_D_fake 0.000509
[700/5000][265/535][72054] Loss_D: -0.024024 Loss_G: 0.005741 Loss_D_real: -0.018112 Loss_D_fake 0.005912
[700/5000][270/535][72055] Loss_D: -0.023647 Loss_G: 0.012214 Loss_D_real: -0.028746 Loss_D_fake -0.005099
[700/5000][275/535][72056] Loss_D: -0.025447 Loss_G: 0.007533 Loss_D_real: -0.018905 Loss_D_fake 0.006542
[700/5000][280/535][72057] Loss_D: -0.024132 Loss_G: 0.003622 Loss_D_real: -0.010670 Loss_D_fake 0.013462
[700/5000][285/535][72058] Loss_D: -0.025450 Loss_G: 0.015293 Loss_D_real: -0.029623 Loss_D_fake -0.004173
[700/5000][290/535][72059] Loss_D: -0.025257 Loss_G: 0.011839 Loss_D_real: -0.025481 Loss_D_fake -0.000224
[700/5000][295/535][72060] Loss_D: -0.024574 Loss_G: 0.016535 Loss_D_real: -0.034836 Loss_D_fake -0.010262
[700/5000][300/535][72061] Loss_D: -0.023158 Loss_G: 0.027167 Loss_D_real: -0.022429 Loss_D_fake 0.000729
[700/5000][305/535][72062] Loss_D: -0.025264 Loss_G: 0.018010 Loss_D_real: -0.029587 Loss_D_fake -0.004324
[700/5000][310/535][72063] Loss_D: -0.024688 Loss_G: 0.027148 Loss_D_real: -0.035153 Loss_D_fake -0.010465
[700/5000][315/535][72064] Loss_D: -0.025644 Loss_G: 0.017310 Loss_D_real: -0.026438 Loss_D_fake -0.000794
[700/5000][320/535][72065] Loss_D: -0.025375 Loss_G: -0.002602 Loss_D_real: -0.007838 Loss_D_fake 0.017537
[700/5000][325/535][72066] Loss_D: -0.024125 Loss_G: 0.009174 Loss_D_real: -0.016404 Loss_D_fake 0.007720
[700/5000][330/535][72067] Loss_D: -0.022925 Loss_G: -0.001829 Loss_D_real: -0.001048 Loss_D_fake 0.021877
[700/5000][335/535][72068] Loss_D: -0.022430 Loss_G: -0.016967 Loss_D_real: -0.003109 Loss_D_fake 0.019321
[700/5000][340/535][72069] Loss_D: -0.021890 Loss_G: 0.023927 Loss_D_real: -0.036074 Loss_D_fake -0.014184
[700/5000][345/535][72070] Loss_D: -0.021722 Loss_G: 0.010655 Loss_D_real: -0.017101 Loss_D_fake 0.004621
[700/5000][350/535][72071] Loss_D: -0.023316 Loss_G: 0.004874 Loss_D_real: -0.012584 Loss_D_fake 0.010732
[700/5000][355/535][72072] Loss_D: -0.024058 Loss_G: 0.015441 Loss_D_real: -0.028375 Loss_D_fake -0.004316
[700/5000][360/535][72073] Loss_D: -0.024564 Loss_G: 0.022837 Loss_D_real: -0.022814 Loss_D_fake 0.001750
[700/5000][365/535][72074] Loss_D: -0.025364 Loss_G: 0.003227 Loss_D_real: -0.008196 Loss_D_fake 0.017168
[700/5000][370/535][72075] Loss_D: -0.022070 Loss_G: 0.025127 Loss_D_real: -0.032684 Loss_D_fake -0.010614
[700/5000][375/535][72076] Loss_D: -0.023171 Loss_G: 0.021815 Loss_D_real: -0.034512 Loss_D_fake -0.011341
[700/5000][380/535][72077] Loss_D: -0.024113 Loss_G: 0.006503 Loss_D_real: -0.021297 Loss_D_fake 0.002816
[700/5000][385/535][72078] Loss_D: -0.023410 Loss_G: -0.019175 Loss_D_real: -0.001399 Loss_D_fake 0.022011
[700/5000][390/535][72079] Loss_D: -0.024174 Loss_G: 0.023778 Loss_D_real: -0.021883 Loss_D_fake 0.002291
[700/5000][395/535][72080] Loss_D: -0.024061 Loss_G: -0.002009 Loss_D_real: -0.011985 Loss_D_fake 0.012077
[700/5000][400/535][72081] Loss_D: -0.024140 Loss_G: 0.003118 Loss_D_real: -0.011571 Loss_D_fake 0.012570
[700/5000][405/535][72082] Loss_D: -0.024062 Loss_G: 0.017561 Loss_D_real: -0.031940 Loss_D_fake -0.007878
[700/5000][410/535][72083] Loss_D: -0.025910 Loss_G: 0.012385 Loss_D_real: -0.023465 Loss_D_fake 0.002445
[700/5000][415/535][72084] Loss_D: -0.022985 Loss_G: 0.022404 Loss_D_real: -0.040056 Loss_D_fake -0.017071
[700/5000][420/535][72085] Loss_D: -0.024682 Loss_G: 0.026806 Loss_D_real: -0.026763 Loss_D_fake -0.002082
[700/5000][425/535][72086] Loss_D: -0.024534 Loss_G: 0.013685 Loss_D_real: -0.034920 Loss_D_fake -0.010386
[700/5000][430/535][72087] Loss_D: -0.023345 Loss_G: 0.026644 Loss_D_real: -0.041607 Loss_D_fake -0.018261
[700/5000][435/535][72088] Loss_D: -0.024908 Loss_G: 0.009689 Loss_D_real: -0.019137 Loss_D_fake 0.005771
[700/5000][440/535][72089] Loss_D: -0.023862 Loss_G: 0.003479 Loss_D_real: -0.015350 Loss_D_fake 0.008512
[700/5000][445/535][72090] Loss_D: -0.024133 Loss_G: 0.018418 Loss_D_real: -0.016515 Loss_D_fake 0.007618
[700/5000][450/535][72091] Loss_D: -0.024016 Loss_G: 0.017847 Loss_D_real: -0.025465 Loss_D_fake -0.001450
[700/5000][455/535][72092] Loss_D: -0.024913 Loss_G: 0.021343 Loss_D_real: -0.022295 Loss_D_fake 0.002618
[700/5000][460/535][72093] Loss_D: -0.024812 Loss_G: 0.014734 Loss_D_real: -0.026017 Loss_D_fake -0.001206
[700/5000][465/535][72094] Loss_D: -0.023936 Loss_G: 0.010056 Loss_D_real: -0.017208 Loss_D_fake 0.006728
[700/5000][470/535][72095] Loss_D: -0.024992 Loss_G: 0.020611 Loss_D_real: -0.017283 Loss_D_fake 0.007709
[700/5000][475/535][72096] Loss_D: -0.024362 Loss_G: 0.023701 Loss_D_real: -0.019613 Loss_D_fake 0.004749
[700/5000][480/535][72097] Loss_D: -0.023972 Loss_G: -0.007037 Loss_D_real: 0.000171 Loss_D_fake 0.024143
[700/5000][485/535][72098] Loss_D: -0.021962 Loss_G: 0.021831 Loss_D_real: -0.029051 Loss_D_fake -0.007089
[700/5000][490/535][72099] Loss_D: -0.024190 Loss_G: 0.018367 Loss_D_real: -0.021025 Loss_D_fake 0.003165
[700/5000][495/535][72100] Loss_D: -0.024227 Loss_G: 0.019261 Loss_D_real: -0.026578 Loss_D_fake -0.002351
[700/5000][500/535][72101] Loss_D: -0.024872 Loss_G: 0.000424 Loss_D_real: -0.017088 Loss_D_fake 0.007784
[700/5000][505/535][72102] Loss_D: -0.024210 Loss_G: 0.011282 Loss_D_real: -0.025640 Loss_D_fake -0.001430
[700/5000][510/535][72103] Loss_D: -0.024046 Loss_G: 0.008678 Loss_D_real: -0.023096 Loss_D_fake 0.000950
[700/5000][515/535][72104] Loss_D: -0.023186 Loss_G: 0.018315 Loss_D_real: -0.031205 Loss_D_fake -0.008020
[700/5000][520/535][72105] Loss_D: -0.023373 Loss_G: 0.016083 Loss_D_real: -0.015565 Loss_D_fake 0.007808
[700/5000][525/535][72106] Loss_D: -0.025666 Loss_G: 0.010334 Loss_D_real: -0.032367 Loss_D_fake -0.006700
[700/5000][530/535][72107] Loss_D: -0.024184 Loss_G: 0.001384 Loss_D_real: -0.007242 Loss_D_fake 0.016942
[700/5000][535/535][72108] Loss_D: -0.021214 Loss_G: 0.028312 Loss_D_real: -0.020623 Loss_D_fake 0.000591
[701/5000][5/535][72109] Loss_D: -0.023005 Loss_G: 0.002306 Loss_D_real: -0.026749 Loss_D_fake -0.003744
[701/5000][10/535][72110] Loss_D: -0.024263 Loss_G: 0.020279 Loss_D_real: -0.029101 Loss_D_fake -0.004839
[701/5000][15/535][72111] Loss_D: -0.024659 Loss_G: 0.016230 Loss_D_real: -0.018129 Loss_D_fake 0.006530
[701/5000][20/535][72112] Loss_D: -0.025123 Loss_G: 0.020421 Loss_D_real: -0.022574 Loss_D_fake 0.002549
[701/5000][25/535][72113] Loss_D: -0.023974 Loss_G: 0.013825 Loss_D_real: -0.027908 Loss_D_fake -0.003933
[701/5000][30/535][72114] Loss_D: -0.025646 Loss_G: -0.004859 Loss_D_real: -0.016001 Loss_D_fake 0.009645
[701/5000][35/535][72115] Loss_D: -0.025301 Loss_G: 0.005718 Loss_D_real: -0.019216 Loss_D_fake 0.006085
[701/5000][40/535][72116] Loss_D: -0.024878 Loss_G: 0.014284 Loss_D_real: -0.021133 Loss_D_fake 0.003745
[701/5000][45/535][72117] Loss_D: -0.022281 Loss_G: -0.014164 Loss_D_real: 0.008566 Loss_D_fake 0.030847
[701/5000][50/535][72118] Loss_D: -0.023738 Loss_G: -0.005115 Loss_D_real: -0.016925 Loss_D_fake 0.006813
[701/5000][55/535][72119] Loss_D: -0.024618 Loss_G: 0.026418 Loss_D_real: -0.030743 Loss_D_fake -0.006125
[701/5000][60/535][72120] Loss_D: -0.024879 Loss_G: 0.009391 Loss_D_real: -0.019218 Loss_D_fake 0.005661
[701/5000][65/535][72121] Loss_D: -0.024781 Loss_G: 0.012937 Loss_D_real: -0.014317 Loss_D_fake 0.010465
[701/5000][70/535][72122] Loss_D: -0.024091 Loss_G: 0.024211 Loss_D_real: -0.031510 Loss_D_fake -0.007420
[701/5000][75/535][72123] Loss_D: -0.025125 Loss_G: 0.021604 Loss_D_real: -0.024198 Loss_D_fake 0.000927
[701/5000][80/535][72124] Loss_D: -0.023555 Loss_G: -0.006127 Loss_D_real: -0.015157 Loss_D_fake 0.008398
[701/5000][85/535][72125] Loss_D: -0.024115 Loss_G: 0.003227 Loss_D_real: -0.007210 Loss_D_fake 0.016905
[701/5000][90/535][72126] Loss_D: -0.025238 Loss_G: -0.000156 Loss_D_real: -0.018239 Loss_D_fake 0.006999
[701/5000][95/535][72127] Loss_D: -0.023968 Loss_G: 0.015815 Loss_D_real: -0.021989 Loss_D_fake 0.001979
[701/5000][100/535][72128] Loss_D: -0.023746 Loss_G: 0.011420 Loss_D_real: -0.019641 Loss_D_fake 0.004106
[701/5000][105/535][72129] Loss_D: -0.022756 Loss_G: -0.018035 Loss_D_real: -0.007148 Loss_D_fake 0.015608
[701/5000][110/535][72130] Loss_D: -0.023587 Loss_G: 0.030028 Loss_D_real: -0.027479 Loss_D_fake -0.003891
[701/5000][115/535][72131] Loss_D: -0.023338 Loss_G: 0.015405 Loss_D_real: -0.020326 Loss_D_fake 0.003013
[701/5000][120/535][72132] Loss_D: -0.023106 Loss_G: 0.021573 Loss_D_real: -0.021980 Loss_D_fake 0.001126
[701/5000][125/535][72133] Loss_D: -0.024642 Loss_G: 0.016780 Loss_D_real: -0.025107 Loss_D_fake -0.000464
[701/5000][130/535][72134] Loss_D: -0.023261 Loss_G: -0.020727 Loss_D_real: -0.003083 Loss_D_fake 0.020178
[701/5000][135/535][72135] Loss_D: -0.024495 Loss_G: 0.003386 Loss_D_real: -0.021828 Loss_D_fake 0.002668
[701/5000][140/535][72136] Loss_D: -0.023458 Loss_G: 0.003310 Loss_D_real: -0.016486 Loss_D_fake 0.006972
[701/5000][145/535][72137] Loss_D: -0.025190 Loss_G: -0.002963 Loss_D_real: -0.018922 Loss_D_fake 0.006268
[701/5000][150/535][72138] Loss_D: -0.023432 Loss_G: 0.028219 Loss_D_real: -0.025127 Loss_D_fake -0.001696
[701/5000][155/535][72139] Loss_D: -0.023784 Loss_G: 0.005814 Loss_D_real: -0.004454 Loss_D_fake 0.019330
[701/5000][160/535][72140] Loss_D: -0.023804 Loss_G: 0.027154 Loss_D_real: -0.032975 Loss_D_fake -0.009172
[701/5000][165/535][72141] Loss_D: -0.023225 Loss_G: -0.003532 Loss_D_real: -0.007485 Loss_D_fake 0.015740
[701/5000][170/535][72142] Loss_D: -0.023349 Loss_G: 0.003810 Loss_D_real: -0.022612 Loss_D_fake 0.000737
[701/5000][175/535][72143] Loss_D: -0.022712 Loss_G: 0.010520 Loss_D_real: -0.027390 Loss_D_fake -0.004678
[701/5000][180/535][72144] Loss_D: -0.024190 Loss_G: -0.001322 Loss_D_real: -0.007579 Loss_D_fake 0.016611
[701/5000][185/535][72145] Loss_D: -0.023103 Loss_G: 0.007311 Loss_D_real: -0.025294 Loss_D_fake -0.002191
[701/5000][190/535][72146] Loss_D: -0.022814 Loss_G: -0.016036 Loss_D_real: -0.005689 Loss_D_fake 0.017125
[701/5000][195/535][72147] Loss_D: -0.023235 Loss_G: 0.021701 Loss_D_real: -0.022377 Loss_D_fake 0.000858
[701/5000][200/535][72148] Loss_D: -0.022987 Loss_G: -0.000421 Loss_D_real: -0.016753 Loss_D_fake 0.006233
[701/5000][205/535][72149] Loss_D: -0.024542 Loss_G: 0.013531 Loss_D_real: -0.017206 Loss_D_fake 0.007336
[701/5000][210/535][72150] Loss_D: -0.023830 Loss_G: -0.012461 Loss_D_real: -0.006924 Loss_D_fake 0.016905
[701/5000][215/535][72151] Loss_D: -0.023815 Loss_G: 0.023307 Loss_D_real: -0.026801 Loss_D_fake -0.002986
[701/5000][220/535][72152] Loss_D: -0.025627 Loss_G: 0.010806 Loss_D_real: -0.012340 Loss_D_fake 0.013287
[701/5000][225/535][72153] Loss_D: -0.023697 Loss_G: 0.015209 Loss_D_real: -0.017496 Loss_D_fake 0.006200
[701/5000][230/535][72154] Loss_D: -0.025169 Loss_G: 0.015399 Loss_D_real: -0.029307 Loss_D_fake -0.004137
[701/5000][235/535][72155] Loss_D: -0.024246 Loss_G: 0.010765 Loss_D_real: -0.025315 Loss_D_fake -0.001069
[701/5000][240/535][72156] Loss_D: -0.024595 Loss_G: 0.004422 Loss_D_real: -0.020038 Loss_D_fake 0.004557
[701/5000][245/535][72157] Loss_D: -0.024878 Loss_G: 0.012137 Loss_D_real: -0.027075 Loss_D_fake -0.002196
[701/5000][250/535][72158] Loss_D: -0.024450 Loss_G: -0.004624 Loss_D_real: -0.013987 Loss_D_fake 0.010462
[701/5000][255/535][72159] Loss_D: -0.024491 Loss_G: 0.011433 Loss_D_real: -0.029266 Loss_D_fake -0.004775
[701/5000][260/535][72160] Loss_D: -0.024468 Loss_G: -0.014582 Loss_D_real: -0.017528 Loss_D_fake 0.006940
[701/5000][265/535][72161] Loss_D: -0.024502 Loss_G: -0.000097 Loss_D_real: -0.004530 Loss_D_fake 0.019972
[701/5000][270/535][72162] Loss_D: -0.023854 Loss_G: 0.005302 Loss_D_real: -0.020681 Loss_D_fake 0.003173
[701/5000][275/535][72163] Loss_D: -0.023533 Loss_G: -0.005243 Loss_D_real: 0.003011 Loss_D_fake 0.026545
[701/5000][280/535][72164] Loss_D: -0.023896 Loss_G: 0.029618 Loss_D_real: -0.034454 Loss_D_fake -0.010558
[701/5000][285/535][72165] Loss_D: -0.024672 Loss_G: -0.009585 Loss_D_real: -0.013612 Loss_D_fake 0.011060
[701/5000][290/535][72166] Loss_D: -0.025023 Loss_G: -0.008063 Loss_D_real: -0.007179 Loss_D_fake 0.017844
[701/5000][295/535][72167] Loss_D: -0.024588 Loss_G: 0.022084 Loss_D_real: -0.024358 Loss_D_fake 0.000230
[701/5000][300/535][72168] Loss_D: -0.025025 Loss_G: 0.004960 Loss_D_real: -0.014436 Loss_D_fake 0.010589
[701/5000][305/535][72169] Loss_D: -0.025288 Loss_G: -0.004106 Loss_D_real: -0.006790 Loss_D_fake 0.018497
[701/5000][310/535][72170] Loss_D: -0.024440 Loss_G: 0.009126 Loss_D_real: -0.019203 Loss_D_fake 0.005237
[701/5000][315/535][72171] Loss_D: -0.024600 Loss_G: -0.004505 Loss_D_real: -0.015352 Loss_D_fake 0.009249
[701/5000][320/535][72172] Loss_D: -0.023801 Loss_G: 0.025915 Loss_D_real: -0.022021 Loss_D_fake 0.001780
[701/5000][325/535][72173] Loss_D: -0.024815 Loss_G: 0.017685 Loss_D_real: -0.016488 Loss_D_fake 0.008327
[701/5000][330/535][72174] Loss_D: -0.023785 Loss_G: -0.004948 Loss_D_real: -0.015023 Loss_D_fake 0.008762
[701/5000][335/535][72175] Loss_D: -0.025167 Loss_G: 0.028862 Loss_D_real: -0.038414 Loss_D_fake -0.013248
[701/5000][340/535][72176] Loss_D: -0.024172 Loss_G: -0.005969 Loss_D_real: 0.002499 Loss_D_fake 0.026671
[701/5000][345/535][72177] Loss_D: -0.024585 Loss_G: 0.017346 Loss_D_real: -0.029794 Loss_D_fake -0.005209
[701/5000][350/535][72178] Loss_D: -0.025150 Loss_G: -0.002676 Loss_D_real: -0.021728 Loss_D_fake 0.003422
[701/5000][355/535][72179] Loss_D: -0.024833 Loss_G: -0.002463 Loss_D_real: -0.006649 Loss_D_fake 0.018184
[701/5000][360/535][72180] Loss_D: -0.024412 Loss_G: 0.012961 Loss_D_real: -0.023262 Loss_D_fake 0.001150
[701/5000][365/535][72181] Loss_D: -0.024900 Loss_G: 0.005873 Loss_D_real: -0.000662 Loss_D_fake 0.024238
[701/5000][370/535][72182] Loss_D: -0.025332 Loss_G: 0.016581 Loss_D_real: -0.028162 Loss_D_fake -0.002830
[701/5000][375/535][72183] Loss_D: -0.025496 Loss_G: 0.003542 Loss_D_real: -0.025004 Loss_D_fake 0.000492
[701/5000][380/535][72184] Loss_D: -0.025326 Loss_G: 0.001835 Loss_D_real: -0.014235 Loss_D_fake 0.011091
[701/5000][385/535][72185] Loss_D: -0.023810 Loss_G: 0.015901 Loss_D_real: -0.026490 Loss_D_fake -0.002679
[701/5000][390/535][72186] Loss_D: -0.026511 Loss_G: 0.002946 Loss_D_real: -0.018182 Loss_D_fake 0.008330
[701/5000][395/535][72187] Loss_D: -0.024186 Loss_G: 0.005613 Loss_D_real: -0.023121 Loss_D_fake 0.001066
[701/5000][400/535][72188] Loss_D: -0.024942 Loss_G: 0.006983 Loss_D_real: -0.015303 Loss_D_fake 0.009639
[701/5000][405/535][72189] Loss_D: -0.025508 Loss_G: 0.027497 Loss_D_real: -0.025086 Loss_D_fake 0.000422
[701/5000][410/535][72190] Loss_D: -0.024669 Loss_G: 0.013710 Loss_D_real: -0.022172 Loss_D_fake 0.002497
[701/5000][415/535][72191] Loss_D: -0.024119 Loss_G: 0.008775 Loss_D_real: -0.024675 Loss_D_fake -0.000557
[701/5000][420/535][72192] Loss_D: -0.024408 Loss_G: 0.019666 Loss_D_real: -0.039976 Loss_D_fake -0.015568
[701/5000][425/535][72193] Loss_D: -0.024079 Loss_G: -0.009711 Loss_D_real: -0.014156 Loss_D_fake 0.009923
[701/5000][430/535][72194] Loss_D: -0.025147 Loss_G: -0.005158 Loss_D_real: -0.005781 Loss_D_fake 0.019366
[701/5000][435/535][72195] Loss_D: -0.023746 Loss_G: 0.007647 Loss_D_real: -0.016169 Loss_D_fake 0.007577
[701/5000][440/535][72196] Loss_D: -0.024231 Loss_G: 0.023655 Loss_D_real: -0.033658 Loss_D_fake -0.009426
[701/5000][445/535][72197] Loss_D: -0.024439 Loss_G: 0.013569 Loss_D_real: -0.016339 Loss_D_fake 0.008100
[701/5000][450/535][72198] Loss_D: -0.025754 Loss_G: 0.005940 Loss_D_real: -0.010453 Loss_D_fake 0.015301
[701/5000][455/535][72199] Loss_D: -0.024635 Loss_G: 0.009131 Loss_D_real: -0.017327 Loss_D_fake 0.007308
[701/5000][460/535][72200] Loss_D: -0.022390 Loss_G: 0.029373 Loss_D_real: -0.036522 Loss_D_fake -0.014132
[701/5000][465/535][72201] Loss_D: -0.023883 Loss_G: 0.015619 Loss_D_real: -0.021333 Loss_D_fake 0.002549
[701/5000][470/535][72202] Loss_D: -0.024968 Loss_G: 0.013318 Loss_D_real: -0.025096 Loss_D_fake -0.000127
[701/5000][475/535][72203] Loss_D: -0.024641 Loss_G: 0.009059 Loss_D_real: -0.021541 Loss_D_fake 0.003101
[701/5000][480/535][72204] Loss_D: -0.025011 Loss_G: 0.002035 Loss_D_real: -0.012888 Loss_D_fake 0.012123
[701/5000][485/535][72205] Loss_D: -0.023970 Loss_G: 0.000875 Loss_D_real: -0.021679 Loss_D_fake 0.002291
[701/5000][490/535][72206] Loss_D: -0.024049 Loss_G: 0.006876 Loss_D_real: -0.018985 Loss_D_fake 0.005065
[701/5000][495/535][72207] Loss_D: -0.023991 Loss_G: -0.011990 Loss_D_real: -0.012221 Loss_D_fake 0.011770
[701/5000][500/535][72208] Loss_D: -0.023499 Loss_G: 0.022542 Loss_D_real: -0.034013 Loss_D_fake -0.010514
[701/5000][505/535][72209] Loss_D: -0.024015 Loss_G: -0.000321 Loss_D_real: -0.016364 Loss_D_fake 0.007651
[701/5000][510/535][72210] Loss_D: -0.022704 Loss_G: 0.003870 Loss_D_real: -0.008951 Loss_D_fake 0.013753
[701/5000][515/535][72211] Loss_D: -0.024090 Loss_G: 0.008244 Loss_D_real: -0.022186 Loss_D_fake 0.001904
[701/5000][520/535][72212] Loss_D: -0.024647 Loss_G: 0.010245 Loss_D_real: -0.024152 Loss_D_fake 0.000495
[701/5000][525/535][72213] Loss_D: -0.023424 Loss_G: -0.014481 Loss_D_real: -0.000761 Loss_D_fake 0.022663
[701/5000][530/535][72214] Loss_D: -0.023984 Loss_G: 0.028274 Loss_D_real: -0.025914 Loss_D_fake -0.001930
[701/5000][535/535][72215] Loss_D: -0.018908 Loss_G: -0.019825 Loss_D_real: -0.002634 Loss_D_fake 0.016274
[702/5000][5/535][72216] Loss_D: -0.024285 Loss_G: 0.014481 Loss_D_real: -0.018640 Loss_D_fake 0.005645
[702/5000][10/535][72217] Loss_D: -0.023189 Loss_G: -0.010734 Loss_D_real: -0.017332 Loss_D_fake 0.005857
[702/5000][15/535][72218] Loss_D: -0.025116 Loss_G: 0.010438 Loss_D_real: -0.013442 Loss_D_fake 0.011674
[702/5000][20/535][72219] Loss_D: -0.024142 Loss_G: 0.004588 Loss_D_real: -0.014813 Loss_D_fake 0.009329
[702/5000][25/535][72220] Loss_D: -0.022839 Loss_G: -0.004014 Loss_D_real: -0.004143 Loss_D_fake 0.018695
[702/5000][30/535][72221] Loss_D: -0.023577 Loss_G: 0.012812 Loss_D_real: -0.014299 Loss_D_fake 0.009278
[702/5000][35/535][72222] Loss_D: -0.021909 Loss_G: 0.017026 Loss_D_real: -0.030559 Loss_D_fake -0.008649
[702/5000][40/535][72223] Loss_D: -0.024376 Loss_G: 0.003590 Loss_D_real: -0.012934 Loss_D_fake 0.011442
[702/5000][45/535][72224] Loss_D: -0.023026 Loss_G: 0.009176 Loss_D_real: -0.025631 Loss_D_fake -0.002605
[702/5000][50/535][72225] Loss_D: -0.024839 Loss_G: 0.001237 Loss_D_real: -0.019117 Loss_D_fake 0.005723
[702/5000][55/535][72226] Loss_D: -0.022338 Loss_G: 0.006573 Loss_D_real: -0.020469 Loss_D_fake 0.001870
[702/5000][60/535][72227] Loss_D: -0.022254 Loss_G: 0.035276 Loss_D_real: -0.038143 Loss_D_fake -0.015889
[702/5000][65/535][72228] Loss_D: -0.023636 Loss_G: 0.000570 Loss_D_real: -0.009972 Loss_D_fake 0.013664
[702/5000][70/535][72229] Loss_D: -0.024447 Loss_G: 0.023921 Loss_D_real: -0.027597 Loss_D_fake -0.003151
[702/5000][75/535][72230] Loss_D: -0.022838 Loss_G: 0.025331 Loss_D_real: -0.029456 Loss_D_fake -0.006618
[702/5000][80/535][72231] Loss_D: -0.024892 Loss_G: 0.018268 Loss_D_real: -0.019216 Loss_D_fake 0.005676
[702/5000][85/535][72232] Loss_D: -0.025681 Loss_G: -0.008815 Loss_D_real: -0.004825 Loss_D_fake 0.020857
[702/5000][90/535][72233] Loss_D: -0.023734 Loss_G: 0.008140 Loss_D_real: -0.018999 Loss_D_fake 0.004735
[702/5000][95/535][72234] Loss_D: -0.024768 Loss_G: -0.006833 Loss_D_real: -0.000771 Loss_D_fake 0.023998
[702/5000][100/535][72235] Loss_D: -0.023311 Loss_G: 0.004475 Loss_D_real: -0.019194 Loss_D_fake 0.004117
[702/5000][105/535][72236] Loss_D: -0.024005 Loss_G: 0.011588 Loss_D_real: -0.025135 Loss_D_fake -0.001130
[702/5000][110/535][72237] Loss_D: -0.023831 Loss_G: 0.018969 Loss_D_real: -0.028279 Loss_D_fake -0.004448
[702/5000][115/535][72238] Loss_D: -0.023527 Loss_G: 0.002292 Loss_D_real: -0.011692 Loss_D_fake 0.011835
[702/5000][120/535][72239] Loss_D: -0.023224 Loss_G: 0.006751 Loss_D_real: -0.013683 Loss_D_fake 0.009541
[702/5000][125/535][72240] Loss_D: -0.024303 Loss_G: 0.021306 Loss_D_real: -0.024355 Loss_D_fake -0.000051
[702/5000][130/535][72241] Loss_D: -0.024848 Loss_G: -0.003261 Loss_D_real: -0.021706 Loss_D_fake 0.003142
[702/5000][135/535][72242] Loss_D: -0.023908 Loss_G: 0.022533 Loss_D_real: -0.041200 Loss_D_fake -0.017292
[702/5000][140/535][72243] Loss_D: -0.025061 Loss_G: -0.002488 Loss_D_real: -0.012587 Loss_D_fake 0.012474
[702/5000][145/535][72244] Loss_D: -0.025724 Loss_G: 0.020148 Loss_D_real: -0.027501 Loss_D_fake -0.001777
[702/5000][150/535][72245] Loss_D: -0.025045 Loss_G: 0.011345 Loss_D_real: -0.026327 Loss_D_fake -0.001282
[702/5000][155/535][72246] Loss_D: -0.024559 Loss_G: 0.020535 Loss_D_real: -0.028774 Loss_D_fake -0.004214
[702/5000][160/535][72247] Loss_D: -0.024311 Loss_G: 0.001273 Loss_D_real: -0.010568 Loss_D_fake 0.013743
[702/5000][165/535][72248] Loss_D: -0.023632 Loss_G: 0.005728 Loss_D_real: -0.019670 Loss_D_fake 0.003962
[702/5000][170/535][72249] Loss_D: -0.025184 Loss_G: 0.009563 Loss_D_real: -0.025015 Loss_D_fake 0.000169
[702/5000][175/535][72250] Loss_D: -0.025260 Loss_G: 0.002807 Loss_D_real: -0.013733 Loss_D_fake 0.011527
[702/5000][180/535][72251] Loss_D: -0.024957 Loss_G: -0.013200 Loss_D_real: -0.013678 Loss_D_fake 0.011279
[702/5000][185/535][72252] Loss_D: -0.024434 Loss_G: 0.019390 Loss_D_real: -0.031898 Loss_D_fake -0.007464
[702/5000][190/535][72253] Loss_D: -0.024596 Loss_G: 0.004180 Loss_D_real: -0.014017 Loss_D_fake 0.010579
[702/5000][195/535][72254] Loss_D: -0.023898 Loss_G: 0.000007 Loss_D_real: -0.026784 Loss_D_fake -0.002886
[702/5000][200/535][72255] Loss_D: -0.023861 Loss_G: 0.002205 Loss_D_real: -0.016870 Loss_D_fake 0.006991
[702/5000][205/535][72256] Loss_D: -0.025160 Loss_G: 0.018214 Loss_D_real: -0.021615 Loss_D_fake 0.003545
[702/5000][210/535][72257] Loss_D: -0.024234 Loss_G: -0.003531 Loss_D_real: -0.014144 Loss_D_fake 0.010089
[702/5000][215/535][72258] Loss_D: -0.025275 Loss_G: 0.003519 Loss_D_real: -0.022031 Loss_D_fake 0.003244
[702/5000][220/535][72259] Loss_D: -0.023651 Loss_G: 0.014992 Loss_D_real: -0.024923 Loss_D_fake -0.001272
[702/5000][225/535][72260] Loss_D: -0.023690 Loss_G: 0.007313 Loss_D_real: -0.023167 Loss_D_fake 0.000523
[702/5000][230/535][72261] Loss_D: -0.024816 Loss_G: 0.024437 Loss_D_real: -0.033572 Loss_D_fake -0.008756
[702/5000][235/535][72262] Loss_D: -0.025427 Loss_G: 0.018125 Loss_D_real: -0.026296 Loss_D_fake -0.000869
[702/5000][240/535][72263] Loss_D: -0.025674 Loss_G: 0.017607 Loss_D_real: -0.025901 Loss_D_fake -0.000227
[702/5000][245/535][72264] Loss_D: -0.024514 Loss_G: 0.020104 Loss_D_real: -0.015482 Loss_D_fake 0.009032
[702/5000][250/535][72265] Loss_D: -0.024331 Loss_G: 0.018259 Loss_D_real: -0.023773 Loss_D_fake 0.000557
[702/5000][255/535][72266] Loss_D: -0.025198 Loss_G: 0.000316 Loss_D_real: -0.016016 Loss_D_fake 0.009182
[702/5000][260/535][72267] Loss_D: -0.026337 Loss_G: 0.013906 Loss_D_real: -0.032380 Loss_D_fake -0.006042
[702/5000][265/535][72268] Loss_D: -0.024443 Loss_G: -0.001682 Loss_D_real: -0.009372 Loss_D_fake 0.015071
[702/5000][270/535][72269] Loss_D: -0.025137 Loss_G: 0.016488 Loss_D_real: -0.011742 Loss_D_fake 0.013395
[702/5000][275/535][72270] Loss_D: -0.025143 Loss_G: -0.003199 Loss_D_real: -0.008776 Loss_D_fake 0.016367
[702/5000][280/535][72271] Loss_D: -0.024943 Loss_G: 0.019949 Loss_D_real: -0.022916 Loss_D_fake 0.002027
[702/5000][285/535][72272] Loss_D: -0.023405 Loss_G: 0.014079 Loss_D_real: -0.025995 Loss_D_fake -0.002589
[702/5000][290/535][72273] Loss_D: -0.023244 Loss_G: 0.013284 Loss_D_real: -0.023038 Loss_D_fake 0.000206
[702/5000][295/535][72274] Loss_D: -0.022670 Loss_G: 0.022266 Loss_D_real: -0.031497 Loss_D_fake -0.008826
[702/5000][300/535][72275] Loss_D: -0.024198 Loss_G: 0.015933 Loss_D_real: -0.018825 Loss_D_fake 0.005373
[702/5000][305/535][72276] Loss_D: -0.023681 Loss_G: 0.015148 Loss_D_real: -0.022281 Loss_D_fake 0.001400
[702/5000][310/535][72277] Loss_D: -0.025132 Loss_G: -0.007197 Loss_D_real: -0.003557 Loss_D_fake 0.021575
[702/5000][315/535][72278] Loss_D: -0.022556 Loss_G: -0.005988 Loss_D_real: -0.013662 Loss_D_fake 0.008894
[702/5000][320/535][72279] Loss_D: -0.023328 Loss_G: 0.004561 Loss_D_real: -0.016398 Loss_D_fake 0.006931
[702/5000][325/535][72280] Loss_D: -0.023899 Loss_G: 0.015706 Loss_D_real: -0.030905 Loss_D_fake -0.007006
[702/5000][330/535][72281] Loss_D: -0.024924 Loss_G: 0.024983 Loss_D_real: -0.026296 Loss_D_fake -0.001372
[702/5000][335/535][72282] Loss_D: -0.023604 Loss_G: -0.007623 Loss_D_real: -0.005150 Loss_D_fake 0.018454
[702/5000][340/535][72283] Loss_D: -0.022898 Loss_G: 0.004848 Loss_D_real: -0.012299 Loss_D_fake 0.010599
[702/5000][345/535][72284] Loss_D: -0.024314 Loss_G: -0.003718 Loss_D_real: -0.002779 Loss_D_fake 0.021536
[702/5000][350/535][72285] Loss_D: -0.025828 Loss_G: 0.003884 Loss_D_real: -0.008258 Loss_D_fake 0.017569
[702/5000][355/535][72286] Loss_D: -0.023455 Loss_G: 0.018472 Loss_D_real: -0.026194 Loss_D_fake -0.002739
[702/5000][360/535][72287] Loss_D: -0.023325 Loss_G: 0.016797 Loss_D_real: -0.023967 Loss_D_fake -0.000642
[702/5000][365/535][72288] Loss_D: -0.024986 Loss_G: 0.023702 Loss_D_real: -0.022494 Loss_D_fake 0.002491
[702/5000][370/535][72289] Loss_D: -0.023489 Loss_G: 0.023242 Loss_D_real: -0.021579 Loss_D_fake 0.001910
[702/5000][375/535][72290] Loss_D: -0.022703 Loss_G: 0.000627 Loss_D_real: -0.009725 Loss_D_fake 0.012978
[702/5000][380/535][72291] Loss_D: -0.023847 Loss_G: 0.006233 Loss_D_real: -0.015581 Loss_D_fake 0.008266
[702/5000][385/535][72292] Loss_D: -0.024198 Loss_G: 0.006003 Loss_D_real: -0.024988 Loss_D_fake -0.000790
[702/5000][390/535][72293] Loss_D: -0.025064 Loss_G: -0.003014 Loss_D_real: -0.005646 Loss_D_fake 0.019419
[702/5000][395/535][72294] Loss_D: -0.025762 Loss_G: 0.001102 Loss_D_real: -0.019499 Loss_D_fake 0.006263
[702/5000][400/535][72295] Loss_D: -0.024151 Loss_G: -0.002097 Loss_D_real: -0.004562 Loss_D_fake 0.019589
[702/5000][405/535][72296] Loss_D: -0.023950 Loss_G: 0.000634 Loss_D_real: -0.017544 Loss_D_fake 0.006406
[702/5000][410/535][72297] Loss_D: -0.024903 Loss_G: 0.019913 Loss_D_real: -0.027072 Loss_D_fake -0.002169
[702/5000][415/535][72298] Loss_D: -0.024625 Loss_G: 0.013448 Loss_D_real: -0.027492 Loss_D_fake -0.002867
[702/5000][420/535][72299] Loss_D: -0.023800 Loss_G: -0.008645 Loss_D_real: -0.009252 Loss_D_fake 0.014548
[702/5000][425/535][72300] Loss_D: -0.022833 Loss_G: 0.031807 Loss_D_real: -0.031240 Loss_D_fake -0.008407
[702/5000][430/535][72301] Loss_D: -0.023990 Loss_G: 0.003001 Loss_D_real: -0.015158 Loss_D_fake 0.008832
[702/5000][435/535][72302] Loss_D: -0.025250 Loss_G: 0.006903 Loss_D_real: -0.013734 Loss_D_fake 0.011515
[702/5000][440/535][72303] Loss_D: -0.023804 Loss_G: -0.004621 Loss_D_real: -0.015290 Loss_D_fake 0.008515
[702/5000][445/535][72304] Loss_D: -0.023302 Loss_G: -0.007554 Loss_D_real: -0.003441 Loss_D_fake 0.019861
[702/5000][450/535][72305] Loss_D: -0.023591 Loss_G: -0.006774 Loss_D_real: -0.010270 Loss_D_fake 0.013321
[702/5000][455/535][72306] Loss_D: -0.023082 Loss_G: 0.021837 Loss_D_real: -0.025985 Loss_D_fake -0.002903
[702/5000][460/535][72307] Loss_D: -0.023715 Loss_G: 0.019824 Loss_D_real: -0.029071 Loss_D_fake -0.005357
[702/5000][465/535][72308] Loss_D: -0.025567 Loss_G: 0.012974 Loss_D_real: -0.027622 Loss_D_fake -0.002055
[702/5000][470/535][72309] Loss_D: -0.023881 Loss_G: 0.015367 Loss_D_real: -0.010946 Loss_D_fake 0.012935
[702/5000][475/535][72310] Loss_D: -0.022735 Loss_G: 0.001588 Loss_D_real: -0.005848 Loss_D_fake 0.016887
[702/5000][480/535][72311] Loss_D: -0.023669 Loss_G: 0.016414 Loss_D_real: -0.028330 Loss_D_fake -0.004661
[702/5000][485/535][72312] Loss_D: -0.024891 Loss_G: 0.024075 Loss_D_real: -0.019327 Loss_D_fake 0.005565
[702/5000][490/535][72313] Loss_D: -0.024626 Loss_G: 0.002759 Loss_D_real: -0.006835 Loss_D_fake 0.017791
[702/5000][495/535][72314] Loss_D: -0.024367 Loss_G: 0.016904 Loss_D_real: -0.029367 Loss_D_fake -0.004999
[702/5000][500/535][72315] Loss_D: -0.022674 Loss_G: 0.012000 Loss_D_real: -0.025906 Loss_D_fake -0.003232
[702/5000][505/535][72316] Loss_D: -0.024892 Loss_G: 0.007377 Loss_D_real: -0.021791 Loss_D_fake 0.003102
[702/5000][510/535][72317] Loss_D: -0.024352 Loss_G: -0.001027 Loss_D_real: -0.017970 Loss_D_fake 0.006382
[702/5000][515/535][72318] Loss_D: -0.023973 Loss_G: 0.024971 Loss_D_real: -0.024149 Loss_D_fake -0.000177
[702/5000][520/535][72319] Loss_D: -0.023420 Loss_G: -0.002033 Loss_D_real: 0.001152 Loss_D_fake 0.024573
[702/5000][525/535][72320] Loss_D: -0.023448 Loss_G: -0.006346 Loss_D_real: 0.000682 Loss_D_fake 0.024130
[702/5000][530/535][72321] Loss_D: -0.022684 Loss_G: 0.001163 Loss_D_real: -0.009513 Loss_D_fake 0.013171
[702/5000][535/535][72322] Loss_D: -0.022305 Loss_G: 0.023252 Loss_D_real: -0.021377 Loss_D_fake 0.000929
[703/5000][5/535][72323] Loss_D: -0.023506 Loss_G: -0.011209 Loss_D_real: -0.003051 Loss_D_fake 0.020455
[703/5000][10/535][72324] Loss_D: -0.023170 Loss_G: 0.010959 Loss_D_real: -0.018400 Loss_D_fake 0.004770
[703/5000][15/535][72325] Loss_D: -0.023737 Loss_G: 0.032258 Loss_D_real: -0.032331 Loss_D_fake -0.008594
[703/5000][20/535][72326] Loss_D: -0.023779 Loss_G: 0.022641 Loss_D_real: -0.022929 Loss_D_fake 0.000850
[703/5000][25/535][72327] Loss_D: -0.023834 Loss_G: 0.014334 Loss_D_real: -0.022140 Loss_D_fake 0.001694
[703/5000][30/535][72328] Loss_D: -0.024024 Loss_G: -0.007416 Loss_D_real: -0.011246 Loss_D_fake 0.012778
[703/5000][35/535][72329] Loss_D: -0.024480 Loss_G: 0.010006 Loss_D_real: -0.022694 Loss_D_fake 0.001786
[703/5000][40/535][72330] Loss_D: -0.023813 Loss_G: 0.018000 Loss_D_real: -0.023073 Loss_D_fake 0.000740
[703/5000][45/535][72331] Loss_D: -0.023071 Loss_G: -0.001331 Loss_D_real: -0.011743 Loss_D_fake 0.011329
[703/5000][50/535][72332] Loss_D: -0.023274 Loss_G: 0.021548 Loss_D_real: -0.024951 Loss_D_fake -0.001677
[703/5000][55/535][72333] Loss_D: -0.022832 Loss_G: 0.028177 Loss_D_real: -0.033351 Loss_D_fake -0.010519
[703/5000][60/535][72334] Loss_D: -0.024100 Loss_G: -0.003195 Loss_D_real: -0.010350 Loss_D_fake 0.013751
[703/5000][65/535][72335] Loss_D: -0.023422 Loss_G: 0.012385 Loss_D_real: -0.030179 Loss_D_fake -0.006757
[703/5000][70/535][72336] Loss_D: -0.022071 Loss_G: 0.010950 Loss_D_real: -0.022133 Loss_D_fake -0.000062
[703/5000][75/535][72337] Loss_D: -0.023690 Loss_G: -0.013867 Loss_D_real: -0.012143 Loss_D_fake 0.011547
[703/5000][80/535][72338] Loss_D: -0.024230 Loss_G: 0.014078 Loss_D_real: -0.020458 Loss_D_fake 0.003772
[703/5000][85/535][72339] Loss_D: -0.024293 Loss_G: -0.006577 Loss_D_real: -0.013755 Loss_D_fake 0.010538
[703/5000][90/535][72340] Loss_D: -0.023659 Loss_G: -0.001946 Loss_D_real: -0.013736 Loss_D_fake 0.009923
[703/5000][95/535][72341] Loss_D: -0.022758 Loss_G: 0.027365 Loss_D_real: -0.027819 Loss_D_fake -0.005062
[703/5000][100/535][72342] Loss_D: -0.025244 Loss_G: 0.005514 Loss_D_real: -0.024303 Loss_D_fake 0.000940
[703/5000][105/535][72343] Loss_D: -0.025235 Loss_G: 0.001260 Loss_D_real: -0.026009 Loss_D_fake -0.000773
[703/5000][110/535][72344] Loss_D: -0.026012 Loss_G: 0.005870 Loss_D_real: -0.019707 Loss_D_fake 0.006305
[703/5000][115/535][72345] Loss_D: -0.025086 Loss_G: -0.022812 Loss_D_real: -0.008036 Loss_D_fake 0.017050
[703/5000][120/535][72346] Loss_D: -0.023719 Loss_G: 0.027103 Loss_D_real: -0.036561 Loss_D_fake -0.012842
[703/5000][125/535][72347] Loss_D: -0.024374 Loss_G: -0.002991 Loss_D_real: -0.013638 Loss_D_fake 0.010736
[703/5000][130/535][72348] Loss_D: -0.024656 Loss_G: 0.003116 Loss_D_real: -0.021898 Loss_D_fake 0.002758
[703/5000][135/535][72349] Loss_D: -0.024359 Loss_G: 0.009790 Loss_D_real: -0.017084 Loss_D_fake 0.007275
[703/5000][140/535][72350] Loss_D: -0.025333 Loss_G: 0.009537 Loss_D_real: -0.017601 Loss_D_fake 0.007732
[703/5000][145/535][72351] Loss_D: -0.024247 Loss_G: 0.025466 Loss_D_real: -0.031675 Loss_D_fake -0.007429
[703/5000][150/535][72352] Loss_D: -0.024607 Loss_G: 0.009766 Loss_D_real: -0.009413 Loss_D_fake 0.015194
[703/5000][155/535][72353] Loss_D: -0.023604 Loss_G: -0.000991 Loss_D_real: -0.022599 Loss_D_fake 0.001005
[703/5000][160/535][72354] Loss_D: -0.025158 Loss_G: 0.023984 Loss_D_real: -0.031019 Loss_D_fake -0.005861
[703/5000][165/535][72355] Loss_D: -0.024945 Loss_G: 0.011006 Loss_D_real: -0.016323 Loss_D_fake 0.008623
[703/5000][170/535][72356] Loss_D: -0.025637 Loss_G: -0.007551 Loss_D_real: -0.018759 Loss_D_fake 0.006879
[703/5000][175/535][72357] Loss_D: -0.023203 Loss_G: 0.020377 Loss_D_real: -0.031199 Loss_D_fake -0.007996
[703/5000][180/535][72358] Loss_D: -0.023804 Loss_G: -0.004525 Loss_D_real: -0.016128 Loss_D_fake 0.007677
[703/5000][185/535][72359] Loss_D: -0.025534 Loss_G: 0.002826 Loss_D_real: -0.014150 Loss_D_fake 0.011384
[703/5000][190/535][72360] Loss_D: -0.024541 Loss_G: 0.014701 Loss_D_real: -0.020779 Loss_D_fake 0.003762
[703/5000][195/535][72361] Loss_D: -0.025261 Loss_G: 0.018282 Loss_D_real: -0.024389 Loss_D_fake 0.000872
[703/5000][200/535][72362] Loss_D: -0.024811 Loss_G: -0.022134 Loss_D_real: -0.009900 Loss_D_fake 0.014910
[703/5000][205/535][72363] Loss_D: -0.023719 Loss_G: 0.021705 Loss_D_real: -0.023942 Loss_D_fake -0.000224
[703/5000][210/535][72364] Loss_D: -0.023885 Loss_G: 0.011351 Loss_D_real: -0.021604 Loss_D_fake 0.002281
[703/5000][215/535][72365] Loss_D: -0.025033 Loss_G: -0.001801 Loss_D_real: -0.012388 Loss_D_fake 0.012645
[703/5000][220/535][72366] Loss_D: -0.024303 Loss_G: 0.008378 Loss_D_real: -0.011184 Loss_D_fake 0.013119
[703/5000][225/535][72367] Loss_D: -0.023986 Loss_G: 0.013396 Loss_D_real: -0.025224 Loss_D_fake -0.001238
[703/5000][230/535][72368] Loss_D: -0.024867 Loss_G: 0.013244 Loss_D_real: -0.026598 Loss_D_fake -0.001730
[703/5000][235/535][72369] Loss_D: -0.024511 Loss_G: -0.006321 Loss_D_real: -0.012400 Loss_D_fake 0.012110
[703/5000][240/535][72370] Loss_D: -0.023833 Loss_G: 0.020229 Loss_D_real: -0.025142 Loss_D_fake -0.001309
[703/5000][245/535][72371] Loss_D: -0.023902 Loss_G: -0.000751 Loss_D_real: -0.007428 Loss_D_fake 0.016474
[703/5000][250/535][72372] Loss_D: -0.023993 Loss_G: -0.005020 Loss_D_real: -0.011243 Loss_D_fake 0.012749
[703/5000][255/535][72373] Loss_D: -0.023171 Loss_G: -0.003335 Loss_D_real: -0.015214 Loss_D_fake 0.007957
[703/5000][260/535][72374] Loss_D: -0.023554 Loss_G: -0.006979 Loss_D_real: -0.009935 Loss_D_fake 0.013619
[703/5000][265/535][72375] Loss_D: -0.023843 Loss_G: 0.020266 Loss_D_real: -0.030708 Loss_D_fake -0.006865
[703/5000][270/535][72376] Loss_D: -0.025166 Loss_G: 0.009758 Loss_D_real: -0.010732 Loss_D_fake 0.014433
[703/5000][275/535][72377] Loss_D: -0.023272 Loss_G: 0.009298 Loss_D_real: -0.005825 Loss_D_fake 0.017447
[703/5000][280/535][72378] Loss_D: -0.024798 Loss_G: 0.020671 Loss_D_real: -0.029185 Loss_D_fake -0.004386
[703/5000][285/535][72379] Loss_D: -0.024482 Loss_G: 0.012869 Loss_D_real: -0.025923 Loss_D_fake -0.001441
[703/5000][290/535][72380] Loss_D: -0.025184 Loss_G: 0.012169 Loss_D_real: -0.026011 Loss_D_fake -0.000827
[703/5000][295/535][72381] Loss_D: -0.024920 Loss_G: 0.020001 Loss_D_real: -0.032696 Loss_D_fake -0.007776
[703/5000][300/535][72382] Loss_D: -0.022624 Loss_G: 0.024681 Loss_D_real: -0.026368 Loss_D_fake -0.003744
[703/5000][305/535][72383] Loss_D: -0.024316 Loss_G: -0.011398 Loss_D_real: -0.001143 Loss_D_fake 0.023173
[703/5000][310/535][72384] Loss_D: -0.024124 Loss_G: 0.022536 Loss_D_real: -0.022229 Loss_D_fake 0.001895
[703/5000][315/535][72385] Loss_D: -0.023661 Loss_G: 0.004692 Loss_D_real: -0.031379 Loss_D_fake -0.007718
[703/5000][320/535][72386] Loss_D: -0.024250 Loss_G: 0.023583 Loss_D_real: -0.024803 Loss_D_fake -0.000553
[703/5000][325/535][72387] Loss_D: -0.025009 Loss_G: -0.000844 Loss_D_real: -0.016341 Loss_D_fake 0.008669
[703/5000][330/535][72388] Loss_D: -0.025546 Loss_G: 0.010047 Loss_D_real: -0.027426 Loss_D_fake -0.001880
[703/5000][335/535][72389] Loss_D: -0.024576 Loss_G: 0.012960 Loss_D_real: -0.022679 Loss_D_fake 0.001897
[703/5000][340/535][72390] Loss_D: -0.025260 Loss_G: -0.002722 Loss_D_real: -0.021048 Loss_D_fake 0.004212
[703/5000][345/535][72391] Loss_D: -0.024625 Loss_G: 0.005768 Loss_D_real: -0.016463 Loss_D_fake 0.008162
[703/5000][350/535][72392] Loss_D: -0.024884 Loss_G: -0.007007 Loss_D_real: -0.014095 Loss_D_fake 0.010789
[703/5000][355/535][72393] Loss_D: -0.024427 Loss_G: 0.008396 Loss_D_real: -0.019840 Loss_D_fake 0.004587
[703/5000][360/535][72394] Loss_D: -0.025621 Loss_G: 0.023547 Loss_D_real: -0.031027 Loss_D_fake -0.005406
[703/5000][365/535][72395] Loss_D: -0.023922 Loss_G: -0.000544 Loss_D_real: -0.014502 Loss_D_fake 0.009420
[703/5000][370/535][72396] Loss_D: -0.024686 Loss_G: 0.025727 Loss_D_real: -0.045056 Loss_D_fake -0.020371
[703/5000][375/535][72397] Loss_D: -0.025521 Loss_G: -0.000842 Loss_D_real: -0.010233 Loss_D_fake 0.015288
[703/5000][380/535][72398] Loss_D: -0.023446 Loss_G: 0.015411 Loss_D_real: -0.028561 Loss_D_fake -0.005115
[703/5000][385/535][72399] Loss_D: -0.024574 Loss_G: 0.010763 Loss_D_real: -0.037708 Loss_D_fake -0.013133
[703/5000][390/535][72400] Loss_D: -0.024298 Loss_G: 0.012800 Loss_D_real: -0.022032 Loss_D_fake 0.002265
[703/5000][395/535][72401] Loss_D: -0.025447 Loss_G: 0.017414 Loss_D_real: -0.033326 Loss_D_fake -0.007878
[703/5000][400/535][72402] Loss_D: -0.025377 Loss_G: 0.016062 Loss_D_real: -0.018525 Loss_D_fake 0.006852
[703/5000][405/535][72403] Loss_D: -0.024322 Loss_G: 0.021002 Loss_D_real: -0.024956 Loss_D_fake -0.000634
[703/5000][410/535][72404] Loss_D: -0.025411 Loss_G: 0.025053 Loss_D_real: -0.027405 Loss_D_fake -0.001994
[703/5000][415/535][72405] Loss_D: -0.022249 Loss_G: -0.015483 Loss_D_real: 0.002434 Loss_D_fake 0.024684
[703/5000][420/535][72406] Loss_D: -0.024290 Loss_G: 0.007630 Loss_D_real: -0.021300 Loss_D_fake 0.002991
[703/5000][425/535][72407] Loss_D: -0.025022 Loss_G: 0.010444 Loss_D_real: -0.021541 Loss_D_fake 0.003481
[703/5000][430/535][72408] Loss_D: -0.023845 Loss_G: 0.031362 Loss_D_real: -0.029883 Loss_D_fake -0.006038
[703/5000][435/535][72409] Loss_D: -0.024436 Loss_G: 0.007498 Loss_D_real: -0.020328 Loss_D_fake 0.004109
[703/5000][440/535][72410] Loss_D: -0.024397 Loss_G: 0.005389 Loss_D_real: -0.016239 Loss_D_fake 0.008158
[703/5000][445/535][72411] Loss_D: -0.025513 Loss_G: -0.000767 Loss_D_real: -0.019346 Loss_D_fake 0.006167
[703/5000][450/535][72412] Loss_D: -0.024494 Loss_G: 0.015422 Loss_D_real: -0.025426 Loss_D_fake -0.000932
[703/5000][455/535][72413] Loss_D: -0.023046 Loss_G: 0.026292 Loss_D_real: -0.030969 Loss_D_fake -0.007923
[703/5000][460/535][72414] Loss_D: -0.024489 Loss_G: -0.001595 Loss_D_real: -0.010265 Loss_D_fake 0.014224
[703/5000][465/535][72415] Loss_D: -0.022255 Loss_G: 0.026636 Loss_D_real: -0.031239 Loss_D_fake -0.008984
[703/5000][470/535][72416] Loss_D: -0.023102 Loss_G: 0.017859 Loss_D_real: -0.023140 Loss_D_fake -0.000038
[703/5000][475/535][72417] Loss_D: -0.024407 Loss_G: -0.003681 Loss_D_real: -0.010469 Loss_D_fake 0.013938
[703/5000][480/535][72418] Loss_D: -0.023486 Loss_G: 0.014161 Loss_D_real: -0.021710 Loss_D_fake 0.001777
[703/5000][485/535][72419] Loss_D: -0.024107 Loss_G: 0.001065 Loss_D_real: -0.014215 Loss_D_fake 0.009892
[703/5000][490/535][72420] Loss_D: -0.024089 Loss_G: -0.004910 Loss_D_real: -0.022007 Loss_D_fake 0.002082
[703/5000][495/535][72421] Loss_D: -0.023804 Loss_G: 0.003077 Loss_D_real: -0.015047 Loss_D_fake 0.008757
[703/5000][500/535][72422] Loss_D: -0.024593 Loss_G: 0.016918 Loss_D_real: -0.012795 Loss_D_fake 0.011798
[703/5000][505/535][72423] Loss_D: -0.023401 Loss_G: 0.006032 Loss_D_real: -0.019335 Loss_D_fake 0.004066
[703/5000][510/535][72424] Loss_D: -0.022924 Loss_G: 0.014923 Loss_D_real: -0.014663 Loss_D_fake 0.008261
[703/5000][515/535][72425] Loss_D: -0.024061 Loss_G: 0.013232 Loss_D_real: -0.015992 Loss_D_fake 0.008069
[703/5000][520/535][72426] Loss_D: -0.024205 Loss_G: 0.011013 Loss_D_real: -0.021898 Loss_D_fake 0.002308
[703/5000][525/535][72427] Loss_D: -0.024297 Loss_G: 0.023903 Loss_D_real: -0.023621 Loss_D_fake 0.000676
[703/5000][530/535][72428] Loss_D: -0.023866 Loss_G: -0.009136 Loss_D_real: -0.010092 Loss_D_fake 0.013774
[703/5000][535/535][72429] Loss_D: -0.023017 Loss_G: -0.017781 Loss_D_real: -0.013627 Loss_D_fake 0.009390
[704/5000][5/535][72430] Loss_D: -0.023715 Loss_G: 0.023624 Loss_D_real: -0.031250 Loss_D_fake -0.007534
[704/5000][10/535][72431] Loss_D: -0.024119 Loss_G: 0.009267 Loss_D_real: -0.018476 Loss_D_fake 0.005643
[704/5000][15/535][72432] Loss_D: -0.024615 Loss_G: 0.006619 Loss_D_real: -0.020311 Loss_D_fake 0.004305
[704/5000][20/535][72433] Loss_D: -0.024339 Loss_G: 0.011498 Loss_D_real: -0.025752 Loss_D_fake -0.001413
[704/5000][25/535][72434] Loss_D: -0.024535 Loss_G: -0.012413 Loss_D_real: -0.009796 Loss_D_fake 0.014739
[704/5000][30/535][72435] Loss_D: -0.023023 Loss_G: 0.005506 Loss_D_real: -0.020019 Loss_D_fake 0.003004
[704/5000][35/535][72436] Loss_D: -0.024103 Loss_G: 0.013117 Loss_D_real: -0.021680 Loss_D_fake 0.002423
[704/5000][40/535][72437] Loss_D: -0.023282 Loss_G: 0.021506 Loss_D_real: -0.030656 Loss_D_fake -0.007374
[704/5000][45/535][72438] Loss_D: -0.024317 Loss_G: 0.008609 Loss_D_real: -0.021563 Loss_D_fake 0.002754
[704/5000][50/535][72439] Loss_D: -0.023430 Loss_G: -0.003477 Loss_D_real: -0.003807 Loss_D_fake 0.019623
[704/5000][55/535][72440] Loss_D: -0.024065 Loss_G: 0.012489 Loss_D_real: -0.014478 Loss_D_fake 0.009587
[704/5000][60/535][72441] Loss_D: -0.024002 Loss_G: 0.024189 Loss_D_real: -0.027550 Loss_D_fake -0.003548
[704/5000][65/535][72442] Loss_D: -0.024867 Loss_G: -0.002825 Loss_D_real: -0.007109 Loss_D_fake 0.017758
[704/5000][70/535][72443] Loss_D: -0.023450 Loss_G: 0.029971 Loss_D_real: -0.025499 Loss_D_fake -0.002049
[704/5000][75/535][72444] Loss_D: -0.024985 Loss_G: 0.012846 Loss_D_real: -0.024615 Loss_D_fake 0.000370
[704/5000][80/535][72445] Loss_D: -0.023963 Loss_G: 0.002554 Loss_D_real: -0.011519 Loss_D_fake 0.012443
[704/5000][85/535][72446] Loss_D: -0.023473 Loss_G: 0.013177 Loss_D_real: -0.042377 Loss_D_fake -0.018904
[704/5000][90/535][72447] Loss_D: -0.023237 Loss_G: -0.002675 Loss_D_real: -0.006838 Loss_D_fake 0.016399
[704/5000][95/535][72448] Loss_D: -0.023437 Loss_G: 0.013672 Loss_D_real: -0.014762 Loss_D_fake 0.008675
[704/5000][100/535][72449] Loss_D: -0.026231 Loss_G: 0.012448 Loss_D_real: -0.020530 Loss_D_fake 0.005700
[704/5000][105/535][72450] Loss_D: -0.025451 Loss_G: 0.010754 Loss_D_real: -0.020802 Loss_D_fake 0.004648
[704/5000][110/535][72451] Loss_D: -0.025988 Loss_G: 0.014009 Loss_D_real: -0.024004 Loss_D_fake 0.001984
[704/5000][115/535][72452] Loss_D: -0.024736 Loss_G: -0.000943 Loss_D_real: -0.012799 Loss_D_fake 0.011937
[704/5000][120/535][72453] Loss_D: -0.024313 Loss_G: 0.023041 Loss_D_real: -0.026608 Loss_D_fake -0.002294
[704/5000][125/535][72454] Loss_D: -0.025948 Loss_G: -0.000229 Loss_D_real: -0.021901 Loss_D_fake 0.004047
[704/5000][130/535][72455] Loss_D: -0.025285 Loss_G: -0.004412 Loss_D_real: -0.006347 Loss_D_fake 0.018938
[704/5000][135/535][72456] Loss_D: -0.024318 Loss_G: 0.023944 Loss_D_real: -0.026905 Loss_D_fake -0.002587
[704/5000][140/535][72457] Loss_D: -0.024743 Loss_G: -0.002762 Loss_D_real: -0.004838 Loss_D_fake 0.019906
[704/5000][145/535][72458] Loss_D: -0.024073 Loss_G: 0.023716 Loss_D_real: -0.027697 Loss_D_fake -0.003624
[704/5000][150/535][72459] Loss_D: -0.024751 Loss_G: 0.013820 Loss_D_real: -0.022837 Loss_D_fake 0.001914
[704/5000][155/535][72460] Loss_D: -0.024675 Loss_G: 0.025137 Loss_D_real: -0.020579 Loss_D_fake 0.004096
[704/5000][160/535][72461] Loss_D: -0.024000 Loss_G: 0.008951 Loss_D_real: -0.027475 Loss_D_fake -0.003475
[704/5000][165/535][72462] Loss_D: -0.025412 Loss_G: -0.018652 Loss_D_real: -0.004048 Loss_D_fake 0.021364
[704/5000][170/535][72463] Loss_D: -0.023952 Loss_G: 0.023045 Loss_D_real: -0.024408 Loss_D_fake -0.000455
[704/5000][175/535][72464] Loss_D: -0.023704 Loss_G: 0.008439 Loss_D_real: -0.015520 Loss_D_fake 0.008184
[704/5000][180/535][72465] Loss_D: -0.022470 Loss_G: -0.014583 Loss_D_real: -0.002313 Loss_D_fake 0.020157
[704/5000][185/535][72466] Loss_D: -0.023171 Loss_G: -0.010475 Loss_D_real: -0.009404 Loss_D_fake 0.013767
[704/5000][190/535][72467] Loss_D: -0.023219 Loss_G: 0.023367 Loss_D_real: -0.028452 Loss_D_fake -0.005233
[704/5000][195/535][72468] Loss_D: -0.025114 Loss_G: 0.003099 Loss_D_real: -0.013388 Loss_D_fake 0.011725
[704/5000][200/535][72469] Loss_D: -0.023817 Loss_G: 0.019925 Loss_D_real: -0.022588 Loss_D_fake 0.001229
[704/5000][205/535][72470] Loss_D: -0.023288 Loss_G: 0.003982 Loss_D_real: -0.017173 Loss_D_fake 0.006116
[704/5000][210/535][72471] Loss_D: -0.022204 Loss_G: 0.017961 Loss_D_real: -0.029018 Loss_D_fake -0.006813
[704/5000][215/535][72472] Loss_D: -0.023715 Loss_G: 0.025641 Loss_D_real: -0.027045 Loss_D_fake -0.003330
[704/5000][220/535][72473] Loss_D: -0.023848 Loss_G: 0.014885 Loss_D_real: -0.015925 Loss_D_fake 0.007923
[704/5000][225/535][72474] Loss_D: -0.025008 Loss_G: 0.014723 Loss_D_real: -0.032382 Loss_D_fake -0.007373
[704/5000][230/535][72475] Loss_D: -0.025076 Loss_G: 0.014646 Loss_D_real: -0.030228 Loss_D_fake -0.005153
[704/5000][235/535][72476] Loss_D: -0.025534 Loss_G: 0.011859 Loss_D_real: -0.018183 Loss_D_fake 0.007350
[704/5000][240/535][72477] Loss_D: -0.023512 Loss_G: 0.003470 Loss_D_real: -0.012595 Loss_D_fake 0.010917
[704/5000][245/535][72478] Loss_D: -0.024746 Loss_G: 0.010257 Loss_D_real: -0.017576 Loss_D_fake 0.007170
[704/5000][250/535][72479] Loss_D: -0.023656 Loss_G: 0.015675 Loss_D_real: -0.018655 Loss_D_fake 0.005001
[704/5000][255/535][72480] Loss_D: -0.025107 Loss_G: 0.008452 Loss_D_real: -0.017931 Loss_D_fake 0.007176
[704/5000][260/535][72481] Loss_D: -0.024224 Loss_G: 0.016784 Loss_D_real: -0.023078 Loss_D_fake 0.001146
[704/5000][265/535][72482] Loss_D: -0.025231 Loss_G: 0.014009 Loss_D_real: -0.032088 Loss_D_fake -0.006857
[704/5000][270/535][72483] Loss_D: -0.025907 Loss_G: 0.017599 Loss_D_real: -0.025784 Loss_D_fake 0.000124
[704/5000][275/535][72484] Loss_D: -0.025525 Loss_G: -0.006916 Loss_D_real: -0.014388 Loss_D_fake 0.011136
[704/5000][280/535][72485] Loss_D: -0.024637 Loss_G: 0.011372 Loss_D_real: -0.011661 Loss_D_fake 0.012976
[704/5000][285/535][72486] Loss_D: -0.025063 Loss_G: 0.015052 Loss_D_real: -0.021985 Loss_D_fake 0.003078
[704/5000][290/535][72487] Loss_D: -0.023686 Loss_G: 0.020937 Loss_D_real: -0.032179 Loss_D_fake -0.008492
[704/5000][295/535][72488] Loss_D: -0.024368 Loss_G: 0.009066 Loss_D_real: -0.020333 Loss_D_fake 0.004035
[704/5000][300/535][72489] Loss_D: -0.023445 Loss_G: 0.010615 Loss_D_real: -0.022701 Loss_D_fake 0.000744
[704/5000][305/535][72490] Loss_D: -0.023431 Loss_G: 0.018564 Loss_D_real: -0.020194 Loss_D_fake 0.003237
[704/5000][310/535][72491] Loss_D: -0.023481 Loss_G: -0.002609 Loss_D_real: -0.008226 Loss_D_fake 0.015255
[704/5000][315/535][72492] Loss_D: -0.023329 Loss_G: 0.002754 Loss_D_real: -0.025440 Loss_D_fake -0.002111
[704/5000][320/535][72493] Loss_D: -0.025466 Loss_G: 0.010160 Loss_D_real: -0.015576 Loss_D_fake 0.009890
[704/5000][325/535][72494] Loss_D: -0.024527 Loss_G: 0.013608 Loss_D_real: -0.032138 Loss_D_fake -0.007611
[704/5000][330/535][72495] Loss_D: -0.024314 Loss_G: -0.011705 Loss_D_real: -0.008139 Loss_D_fake 0.016175
[704/5000][335/535][72496] Loss_D: -0.024131 Loss_G: 0.007365 Loss_D_real: -0.022672 Loss_D_fake 0.001459
[704/5000][340/535][72497] Loss_D: -0.024021 Loss_G: 0.036022 Loss_D_real: -0.035404 Loss_D_fake -0.011383
[704/5000][345/535][72498] Loss_D: -0.024901 Loss_G: 0.010306 Loss_D_real: -0.023436 Loss_D_fake 0.001464
[704/5000][350/535][72499] Loss_D: -0.024795 Loss_G: 0.002329 Loss_D_real: -0.025407 Loss_D_fake -0.000612
[704/5000][355/535][72500] Loss_D: -0.023484 Loss_G: 0.023729 Loss_D_real: -0.037160 Loss_D_fake -0.013676
[704/5000][455/535][72501] Loss_D: -0.026364 Loss_G: 0.018564 Loss_D_real: -0.030002 Loss_D_fake -0.003638
[704/5000][460/535][72502] Loss_D: -0.025607 Loss_G: -0.003228 Loss_D_real: -0.008454 Loss_D_fake 0.017153
[704/5000][465/535][72503] Loss_D: -0.023425 Loss_G: 0.006822 Loss_D_real: -0.026664 Loss_D_fake -0.003239
[704/5000][470/535][72504] Loss_D: -0.023239 Loss_G: 0.020629 Loss_D_real: -0.027623 Loss_D_fake -0.004384
[704/5000][475/535][72505] Loss_D: -0.023583 Loss_G: -0.004352 Loss_D_real: -0.015469 Loss_D_fake 0.008114
[704/5000][480/535][72506] Loss_D: -0.023741 Loss_G: 0.007463 Loss_D_real: -0.031058 Loss_D_fake -0.007317
[704/5000][485/535][72507] Loss_D: -0.023383 Loss_G: 0.009512 Loss_D_real: -0.019790 Loss_D_fake 0.003593
[704/5000][490/535][72508] Loss_D: -0.023037 Loss_G: 0.010630 Loss_D_real: -0.012603 Loss_D_fake 0.010435
[704/5000][495/535][72509] Loss_D: -0.023483 Loss_G: 0.018172 Loss_D_real: -0.026355 Loss_D_fake -0.002872
[704/5000][500/535][72510] Loss_D: -0.024239 Loss_G: 0.003579 Loss_D_real: -0.012687 Loss_D_fake 0.011552
[704/5000][505/535][72511] Loss_D: -0.022628 Loss_G: 0.010641 Loss_D_real: -0.025711 Loss_D_fake -0.003083
[704/5000][510/535][72512] Loss_D: -0.024307 Loss_G: 0.004092 Loss_D_real: -0.006962 Loss_D_fake 0.017345
[704/5000][515/535][72513] Loss_D: -0.024612 Loss_G: 0.022242 Loss_D_real: -0.022228 Loss_D_fake 0.002384
[704/5000][520/535][72514] Loss_D: -0.025016 Loss_G: 0.013891 Loss_D_real: -0.023433 Loss_D_fake 0.001582
[704/5000][525/535][72515] Loss_D: -0.024353 Loss_G: -0.004972 Loss_D_real: -0.022046 Loss_D_fake 0.002308
[704/5000][530/535][72516] Loss_D: -0.025112 Loss_G: 0.000268 Loss_D_real: -0.011174 Loss_D_fake 0.013938
[704/5000][535/535][72517] Loss_D: -0.025575 Loss_G: 0.021583 Loss_D_real: -0.008445 Loss_D_fake 0.017130
[705/5000][5/535][72518] Loss_D: -0.024364 Loss_G: 0.011232 Loss_D_real: -0.023862 Loss_D_fake 0.000502
[705/5000][10/535][72519] Loss_D: -0.024152 Loss_G: 0.026546 Loss_D_real: -0.036821 Loss_D_fake -0.012669
[705/5000][15/535][72520] Loss_D: -0.025118 Loss_G: 0.009901 Loss_D_real: -0.020134 Loss_D_fake 0.004984
[705/5000][20/535][72521] Loss_D: -0.024000 Loss_G: 0.014850 Loss_D_real: -0.022664 Loss_D_fake 0.001336
[705/5000][25/535][72522] Loss_D: -0.022710 Loss_G: 0.014706 Loss_D_real: -0.010963 Loss_D_fake 0.011747
[705/5000][30/535][72523] Loss_D: -0.022857 Loss_G: 0.017064 Loss_D_real: -0.027812 Loss_D_fake -0.004954
[705/5000][35/535][72524] Loss_D: -0.024416 Loss_G: 0.005576 Loss_D_real: -0.026371 Loss_D_fake -0.001955
[705/5000][40/535][72525] Loss_D: -0.023812 Loss_G: 0.003832 Loss_D_real: -0.035105 Loss_D_fake -0.011293
[705/5000][45/535][72526] Loss_D: -0.022634 Loss_G: -0.006818 Loss_D_real: -0.002310 Loss_D_fake 0.020324
[705/5000][50/535][72527] Loss_D: -0.021959 Loss_G: 0.005663 Loss_D_real: -0.018161 Loss_D_fake 0.003798
[705/5000][55/535][72528] Loss_D: -0.025263 Loss_G: 0.020165 Loss_D_real: -0.012014 Loss_D_fake 0.013248
[705/5000][60/535][72529] Loss_D: -0.023397 Loss_G: 0.001279 Loss_D_real: -0.008501 Loss_D_fake 0.014896
[705/5000][65/535][72530] Loss_D: -0.023766 Loss_G: -0.001995 Loss_D_real: -0.012673 Loss_D_fake 0.011092
[705/5000][70/535][72531] Loss_D: -0.023593 Loss_G: 0.019991 Loss_D_real: -0.034230 Loss_D_fake -0.010637
[705/5000][75/535][72532] Loss_D: -0.023283 Loss_G: -0.008166 Loss_D_real: -0.006716 Loss_D_fake 0.016567
[705/5000][80/535][72533] Loss_D: -0.022346 Loss_G: 0.013683 Loss_D_real: -0.028049 Loss_D_fake -0.005703
[705/5000][85/535][72534] Loss_D: -0.024113 Loss_G: 0.029562 Loss_D_real: -0.032379 Loss_D_fake -0.008266
[705/5000][90/535][72535] Loss_D: -0.023253 Loss_G: -0.013570 Loss_D_real: -0.004224 Loss_D_fake 0.019029
[705/5000][95/535][72536] Loss_D: -0.024075 Loss_G: 0.014323 Loss_D_real: -0.021928 Loss_D_fake 0.002147
[705/5000][100/535][72537] Loss_D: -0.022974 Loss_G: 0.012981 Loss_D_real: -0.021784 Loss_D_fake 0.001190
[705/5000][105/535][72538] Loss_D: -0.025000 Loss_G: -0.010897 Loss_D_real: -0.021046 Loss_D_fake 0.003953
[705/5000][110/535][72539] Loss_D: -0.023058 Loss_G: 0.010269 Loss_D_real: -0.022179 Loss_D_fake 0.000879
[705/5000][115/535][72540] Loss_D: -0.025471 Loss_G: 0.014308 Loss_D_real: -0.013052 Loss_D_fake 0.012419
[705/5000][120/535][72541] Loss_D: -0.024465 Loss_G: 0.009832 Loss_D_real: -0.010104 Loss_D_fake 0.014360
[705/5000][125/535][72542] Loss_D: -0.023617 Loss_G: -0.009289 Loss_D_real: 0.000476 Loss_D_fake 0.024093
[705/5000][130/535][72543] Loss_D: -0.025395 Loss_G: -0.001585 Loss_D_real: -0.024751 Loss_D_fake 0.000644
[705/5000][135/535][72544] Loss_D: -0.025107 Loss_G: 0.005275 Loss_D_real: -0.021263 Loss_D_fake 0.003843
[705/5000][140/535][72545] Loss_D: -0.024643 Loss_G: 0.002462 Loss_D_real: -0.005061 Loss_D_fake 0.019581
[705/5000][145/535][72546] Loss_D: -0.024578 Loss_G: 0.019137 Loss_D_real: -0.018211 Loss_D_fake 0.006367
[705/5000][150/535][72547] Loss_D: -0.024214 Loss_G: 0.001654 Loss_D_real: -0.008658 Loss_D_fake 0.015556
[705/5000][155/535][72548] Loss_D: -0.022688 Loss_G: 0.017990 Loss_D_real: -0.027300 Loss_D_fake -0.004613
[705/5000][160/535][72549] Loss_D: -0.022733 Loss_G: 0.015238 Loss_D_real: -0.028695 Loss_D_fake -0.005963
[705/5000][165/535][72550] Loss_D: -0.024041 Loss_G: -0.005583 Loss_D_real: -0.015213 Loss_D_fake 0.008828
[705/5000][170/535][72551] Loss_D: -0.024184 Loss_G: 0.020726 Loss_D_real: -0.029101 Loss_D_fake -0.004917
[705/5000][175/535][72552] Loss_D: -0.023376 Loss_G: 0.007467 Loss_D_real: -0.002264 Loss_D_fake 0.021113
[705/5000][180/535][72553] Loss_D: -0.023609 Loss_G: 0.012752 Loss_D_real: -0.013515 Loss_D_fake 0.010093
[705/5000][185/535][72554] Loss_D: -0.023981 Loss_G: 0.001972 Loss_D_real: -0.024767 Loss_D_fake -0.000787
[705/5000][190/535][72555] Loss_D: -0.023921 Loss_G: -0.003365 Loss_D_real: -0.006674 Loss_D_fake 0.017247
[705/5000][195/535][72556] Loss_D: -0.024192 Loss_G: 0.017135 Loss_D_real: -0.022268 Loss_D_fake 0.001924
[705/5000][200/535][72557] Loss_D: -0.024562 Loss_G: -0.014715 Loss_D_real: -0.005054 Loss_D_fake 0.019507
[705/5000][205/535][72558] Loss_D: -0.023919 Loss_G: 0.009190 Loss_D_real: -0.034595 Loss_D_fake -0.010677
[705/5000][210/535][72559] Loss_D: -0.024735 Loss_G: -0.006297 Loss_D_real: -0.008645 Loss_D_fake 0.016089
[705/5000][215/535][72560] Loss_D: -0.022764 Loss_G: 0.013525 Loss_D_real: -0.035399 Loss_D_fake -0.012635
[705/5000][220/535][72561] Loss_D: -0.024780 Loss_G: -0.006505 Loss_D_real: -0.010645 Loss_D_fake 0.014134
[705/5000][225/535][72562] Loss_D: -0.024806 Loss_G: 0.005606 Loss_D_real: -0.012200 Loss_D_fake 0.012606
[705/5000][230/535][72563] Loss_D: -0.025301 Loss_G: 0.007530 Loss_D_real: -0.017266 Loss_D_fake 0.008035
[705/5000][235/535][72564] Loss_D: -0.025667 Loss_G: -0.011981 Loss_D_real: -0.006346 Loss_D_fake 0.019321
[705/5000][240/535][72565] Loss_D: -0.025457 Loss_G: 0.016477 Loss_D_real: -0.010084 Loss_D_fake 0.015373
[705/5000][245/535][72566] Loss_D: -0.024778 Loss_G: 0.012323 Loss_D_real: -0.029923 Loss_D_fake -0.005145
[705/5000][250/535][72567] Loss_D: -0.026380 Loss_G: 0.014405 Loss_D_real: -0.022744 Loss_D_fake 0.003637
[705/5000][255/535][72568] Loss_D: -0.025240 Loss_G: 0.022026 Loss_D_real: -0.024600 Loss_D_fake 0.000640
[705/5000][260/535][72569] Loss_D: -0.024244 Loss_G: 0.023849 Loss_D_real: -0.023218 Loss_D_fake 0.001026
[705/5000][265/535][72570] Loss_D: -0.023490 Loss_G: -0.009873 Loss_D_real: -0.000988 Loss_D_fake 0.022502
[705/5000][270/535][72571] Loss_D: -0.024707 Loss_G: 0.026427 Loss_D_real: -0.026930 Loss_D_fake -0.002223
[705/5000][275/535][72572] Loss_D: -0.025075 Loss_G: 0.012269 Loss_D_real: -0.016816 Loss_D_fake 0.008259
[705/5000][280/535][72573] Loss_D: -0.024479 Loss_G: 0.027105 Loss_D_real: -0.027241 Loss_D_fake -0.002762
[705/5000][285/535][72574] Loss_D: -0.023543 Loss_G: -0.001081 Loss_D_real: -0.005875 Loss_D_fake 0.017668
[705/5000][290/535][72575] Loss_D: -0.022903 Loss_G: 0.014710 Loss_D_real: -0.031206 Loss_D_fake -0.008303
[705/5000][295/535][72576] Loss_D: -0.024319 Loss_G: 0.004262 Loss_D_real: -0.015642 Loss_D_fake 0.008677
[705/5000][300/535][72577] Loss_D: -0.024764 Loss_G: 0.019318 Loss_D_real: -0.020040 Loss_D_fake 0.004724
[705/5000][305/535][72578] Loss_D: -0.023808 Loss_G: -0.007927 Loss_D_real: -0.006799 Loss_D_fake 0.017008
[705/5000][310/535][72579] Loss_D: -0.024386 Loss_G: 0.003368 Loss_D_real: -0.017473 Loss_D_fake 0.006913
[705/5000][315/535][72580] Loss_D: -0.023136 Loss_G: 0.027411 Loss_D_real: -0.024173 Loss_D_fake -0.001037
[705/5000][320/535][72581] Loss_D: -0.024573 Loss_G: 0.015148 Loss_D_real: -0.018091 Loss_D_fake 0.006482
[705/5000][325/535][72582] Loss_D: -0.024483 Loss_G: 0.010040 Loss_D_real: -0.007711 Loss_D_fake 0.016773
[705/5000][330/535][72583] Loss_D: -0.024042 Loss_G: 0.021118 Loss_D_real: -0.040299 Loss_D_fake -0.016257
[705/5000][335/535][72584] Loss_D: -0.025585 Loss_G: 0.009246 Loss_D_real: -0.018458 Loss_D_fake 0.007127
[705/5000][340/535][72585] Loss_D: -0.026101 Loss_G: -0.004063 Loss_D_real: -0.014723 Loss_D_fake 0.011377
[705/5000][345/535][72586] Loss_D: -0.025112 Loss_G: -0.011216 Loss_D_real: -0.003744 Loss_D_fake 0.021368
[705/5000][350/535][72587] Loss_D: -0.023142 Loss_G: 0.028038 Loss_D_real: -0.030878 Loss_D_fake -0.007736
[705/5000][355/535][72588] Loss_D: -0.024117 Loss_G: -0.001333 Loss_D_real: -0.013015 Loss_D_fake 0.011102
[705/5000][360/535][72589] Loss_D: -0.024981 Loss_G: 0.002904 Loss_D_real: -0.019111 Loss_D_fake 0.005869
[705/5000][365/535][72590] Loss_D: -0.023068 Loss_G: 0.024951 Loss_D_real: -0.019311 Loss_D_fake 0.003757
[705/5000][370/535][72591] Loss_D: -0.023715 Loss_G: -0.005813 Loss_D_real: -0.005553 Loss_D_fake 0.018162
[705/5000][375/535][72592] Loss_D: -0.023102 Loss_G: 0.011914 Loss_D_real: -0.036670 Loss_D_fake -0.013568
[705/5000][380/535][72593] Loss_D: -0.024509 Loss_G: 0.005537 Loss_D_real: -0.020978 Loss_D_fake 0.003531
[705/5000][385/535][72594] Loss_D: -0.023855 Loss_G: 0.017400 Loss_D_real: -0.026241 Loss_D_fake -0.002386
[705/5000][390/535][72595] Loss_D: -0.023924 Loss_G: -0.003875 Loss_D_real: -0.009978 Loss_D_fake 0.013947
[705/5000][395/535][72596] Loss_D: -0.023745 Loss_G: 0.003419 Loss_D_real: -0.011219 Loss_D_fake 0.012525
[705/5000][400/535][72597] Loss_D: -0.024855 Loss_G: 0.012416 Loss_D_real: -0.016591 Loss_D_fake 0.008264
[705/5000][405/535][72598] Loss_D: -0.023264 Loss_G: 0.008042 Loss_D_real: -0.016551 Loss_D_fake 0.006714
[705/5000][410/535][72599] Loss_D: -0.025482 Loss_G: 0.006255 Loss_D_real: -0.013921 Loss_D_fake 0.011562
[705/5000][415/535][72600] Loss_D: -0.024361 Loss_G: 0.015604 Loss_D_real: -0.020451 Loss_D_fake 0.003910
[705/5000][420/535][72601] Loss_D: -0.024518 Loss_G: -0.009846 Loss_D_real: -0.002745 Loss_D_fake 0.021773
[705/5000][425/535][72602] Loss_D: -0.023623 Loss_G: 0.018381 Loss_D_real: -0.020752 Loss_D_fake 0.002872
[705/5000][430/535][72603] Loss_D: -0.024684 Loss_G: -0.000912 Loss_D_real: -0.012134 Loss_D_fake 0.012550
[705/5000][435/535][72604] Loss_D: -0.023847 Loss_G: 0.013206 Loss_D_real: -0.016831 Loss_D_fake 0.007016
[705/5000][440/535][72605] Loss_D: -0.025698 Loss_G: 0.017667 Loss_D_real: -0.022123 Loss_D_fake 0.003575
[705/5000][445/535][72606] Loss_D: -0.025271 Loss_G: 0.024238 Loss_D_real: -0.036632 Loss_D_fake -0.011361
[705/5000][450/535][72607] Loss_D: -0.025039 Loss_G: -0.009720 Loss_D_real: -0.007838 Loss_D_fake 0.017200
[705/5000][455/535][72608] Loss_D: -0.025080 Loss_G: 0.003992 Loss_D_real: -0.017311 Loss_D_fake 0.007769
[705/5000][460/535][72609] Loss_D: -0.025892 Loss_G: 0.020663 Loss_D_real: -0.025833 Loss_D_fake 0.000058
[705/5000][465/535][72610] Loss_D: -0.023969 Loss_G: 0.019409 Loss_D_real: -0.026565 Loss_D_fake -0.002596
[705/5000][470/535][72611] Loss_D: -0.023496 Loss_G: 0.028574 Loss_D_real: -0.030647 Loss_D_fake -0.007151
[705/5000][475/535][72612] Loss_D: -0.024426 Loss_G: 0.010268 Loss_D_real: -0.031605 Loss_D_fake -0.007179
[705/5000][480/535][72613] Loss_D: -0.024067 Loss_G: -0.003646 Loss_D_real: -0.014918 Loss_D_fake 0.009149
[705/5000][485/535][72614] Loss_D: -0.021886 Loss_G: 0.026918 Loss_D_real: -0.029172 Loss_D_fake -0.007286
[705/5000][490/535][72615] Loss_D: -0.024663 Loss_G: 0.021832 Loss_D_real: -0.019142 Loss_D_fake 0.005521
[705/5000][495/535][72616] Loss_D: -0.024450 Loss_G: -0.008192 Loss_D_real: -0.010768 Loss_D_fake 0.013682
[705/5000][500/535][72617] Loss_D: -0.023316 Loss_G: 0.005358 Loss_D_real: -0.020485 Loss_D_fake 0.002832
[705/5000][505/535][72618] Loss_D: -0.023670 Loss_G: 0.005095 Loss_D_real: -0.015324 Loss_D_fake 0.008345
[705/5000][510/535][72619] Loss_D: -0.022099 Loss_G: 0.026210 Loss_D_real: -0.034499 Loss_D_fake -0.012400
[705/5000][515/535][72620] Loss_D: -0.024401 Loss_G: -0.005214 Loss_D_real: -0.010318 Loss_D_fake 0.014083
[705/5000][520/535][72621] Loss_D: -0.023695 Loss_G: 0.013174 Loss_D_real: -0.024251 Loss_D_fake -0.000556
[705/5000][525/535][72622] Loss_D: -0.024043 Loss_G: 0.001975 Loss_D_real: -0.027123 Loss_D_fake -0.003080
[705/5000][530/535][72623] Loss_D: -0.023801 Loss_G: 0.023083 Loss_D_real: -0.024376 Loss_D_fake -0.000575
[705/5000][535/535][72624] Loss_D: -0.021094 Loss_G: -0.016813 Loss_D_real: -0.011526 Loss_D_fake 0.009568
[706/5000][5/535][72625] Loss_D: -0.025884 Loss_G: -0.004679 Loss_D_real: -0.008362 Loss_D_fake 0.017522
[706/5000][10/535][72626] Loss_D: -0.026512 Loss_G: 0.002125 Loss_D_real: -0.017627 Loss_D_fake 0.008885
[706/5000][15/535][72627] Loss_D: -0.023210 Loss_G: 0.019095 Loss_D_real: -0.029693 Loss_D_fake -0.006483
[706/5000][20/535][72628] Loss_D: -0.024726 Loss_G: 0.007441 Loss_D_real: -0.015073 Loss_D_fake 0.009653
[706/5000][25/535][72629] Loss_D: -0.024166 Loss_G: -0.005057 Loss_D_real: 0.002277 Loss_D_fake 0.026444
[706/5000][30/535][72630] Loss_D: -0.024601 Loss_G: -0.006722 Loss_D_real: -0.014367 Loss_D_fake 0.010233
[706/5000][35/535][72631] Loss_D: -0.023771 Loss_G: -0.001474 Loss_D_real: -0.008062 Loss_D_fake 0.015709
[706/5000][40/535][72632] Loss_D: -0.025435 Loss_G: 0.001220 Loss_D_real: -0.012792 Loss_D_fake 0.012643
[706/5000][45/535][72633] Loss_D: -0.023551 Loss_G: -0.001541 Loss_D_real: -0.008034 Loss_D_fake 0.015517
[706/5000][50/535][72634] Loss_D: -0.024215 Loss_G: 0.028589 Loss_D_real: -0.029995 Loss_D_fake -0.005780
[706/5000][55/535][72635] Loss_D: -0.023567 Loss_G: 0.015631 Loss_D_real: -0.020965 Loss_D_fake 0.002602
[706/5000][60/535][72636] Loss_D: -0.023333 Loss_G: 0.007807 Loss_D_real: -0.019659 Loss_D_fake 0.003674
[706/5000][65/535][72637] Loss_D: -0.024347 Loss_G: -0.006676 Loss_D_real: -0.012667 Loss_D_fake 0.011680
[706/5000][70/535][72638] Loss_D: -0.023031 Loss_G: 0.006533 Loss_D_real: -0.027311 Loss_D_fake -0.004280
[706/5000][75/535][72639] Loss_D: -0.025420 Loss_G: 0.012580 Loss_D_real: -0.013822 Loss_D_fake 0.011597
[706/5000][80/535][72640] Loss_D: -0.024345 Loss_G: 0.012412 Loss_D_real: -0.024666 Loss_D_fake -0.000321
[706/5000][85/535][72641] Loss_D: -0.023061 Loss_G: -0.001289 Loss_D_real: -0.012261 Loss_D_fake 0.010800
[706/5000][90/535][72642] Loss_D: -0.023921 Loss_G: 0.015910 Loss_D_real: -0.028391 Loss_D_fake -0.004470
[706/5000][95/535][72643] Loss_D: -0.024009 Loss_G: 0.021906 Loss_D_real: -0.027485 Loss_D_fake -0.003476
[706/5000][100/535][72644] Loss_D: -0.025017 Loss_G: 0.012476 Loss_D_real: -0.022685 Loss_D_fake 0.002332
[706/5000][105/535][72645] Loss_D: -0.025946 Loss_G: -0.009686 Loss_D_real: -0.014587 Loss_D_fake 0.011359
[706/5000][110/535][72646] Loss_D: -0.024346 Loss_G: 0.016501 Loss_D_real: -0.026451 Loss_D_fake -0.002105
[706/5000][115/535][72647] Loss_D: -0.024360 Loss_G: 0.028066 Loss_D_real: -0.024958 Loss_D_fake -0.000598
[706/5000][120/535][72648] Loss_D: -0.025245 Loss_G: 0.003967 Loss_D_real: -0.015309 Loss_D_fake 0.009936
[706/5000][125/535][72649] Loss_D: -0.024989 Loss_G: -0.012939 Loss_D_real: 0.001419 Loss_D_fake 0.026407
[706/5000][130/535][72650] Loss_D: -0.023341 Loss_G: 0.016657 Loss_D_real: -0.022222 Loss_D_fake 0.001119
[706/5000][135/535][72651] Loss_D: -0.024007 Loss_G: -0.007420 Loss_D_real: -0.008522 Loss_D_fake 0.015485
[706/5000][140/535][72652] Loss_D: -0.025371 Loss_G: 0.016642 Loss_D_real: -0.028134 Loss_D_fake -0.002763
[706/5000][145/535][72653] Loss_D: -0.023836 Loss_G: -0.001541 Loss_D_real: -0.025614 Loss_D_fake -0.001778
[706/5000][150/535][72654] Loss_D: -0.025024 Loss_G: 0.014166 Loss_D_real: -0.024143 Loss_D_fake 0.000881
[706/5000][155/535][72655] Loss_D: -0.023535 Loss_G: 0.002860 Loss_D_real: -0.015071 Loss_D_fake 0.008464
[706/5000][160/535][72656] Loss_D: -0.024150 Loss_G: 0.021971 Loss_D_real: -0.035365 Loss_D_fake -0.011215
[706/5000][165/535][72657] Loss_D: -0.024899 Loss_G: 0.004334 Loss_D_real: -0.019705 Loss_D_fake 0.005194
[706/5000][170/535][72658] Loss_D: -0.024198 Loss_G: -0.007678 Loss_D_real: -0.002230 Loss_D_fake 0.021968
[706/5000][175/535][72659] Loss_D: -0.024100 Loss_G: 0.005988 Loss_D_real: -0.018911 Loss_D_fake 0.005189
[706/5000][180/535][72660] Loss_D: -0.024985 Loss_G: 0.016675 Loss_D_real: -0.028070 Loss_D_fake -0.003085
[706/5000][185/535][72661] Loss_D: -0.023878 Loss_G: 0.025712 Loss_D_real: -0.030322 Loss_D_fake -0.006444
[706/5000][190/535][72662] Loss_D: -0.024650 Loss_G: 0.003835 Loss_D_real: -0.025000 Loss_D_fake -0.000350
[706/5000][195/535][72663] Loss_D: -0.024765 Loss_G: 0.006777 Loss_D_real: -0.024009 Loss_D_fake 0.000757
[706/5000][200/535][72664] Loss_D: -0.024756 Loss_G: 0.010386 Loss_D_real: -0.003526 Loss_D_fake 0.021229
[706/5000][205/535][72665] Loss_D: -0.024572 Loss_G: -0.001961 Loss_D_real: -0.014416 Loss_D_fake 0.010156
[706/5000][210/535][72666] Loss_D: -0.024320 Loss_G: 0.025125 Loss_D_real: -0.029819 Loss_D_fake -0.005500
[706/5000][215/535][72667] Loss_D: -0.024215 Loss_G: -0.000820 Loss_D_real: -0.009375 Loss_D_fake 0.014840
[706/5000][220/535][72668] Loss_D: -0.024141 Loss_G: -0.004846 Loss_D_real: -0.022452 Loss_D_fake 0.001688
[706/5000][225/535][72669] Loss_D: -0.025038 Loss_G: 0.008578 Loss_D_real: -0.013825 Loss_D_fake 0.011214
[706/5000][230/535][72670] Loss_D: -0.022989 Loss_G: 0.001085 Loss_D_real: -0.024900 Loss_D_fake -0.001911
[706/5000][235/535][72671] Loss_D: -0.023618 Loss_G: -0.010463 Loss_D_real: -0.002654 Loss_D_fake 0.020965
[706/5000][240/535][72672] Loss_D: -0.021397 Loss_G: 0.013926 Loss_D_real: -0.035046 Loss_D_fake -0.013649
[706/5000][245/535][72673] Loss_D: -0.025539 Loss_G: 0.011409 Loss_D_real: -0.009397 Loss_D_fake 0.016143
[706/5000][250/535][72674] Loss_D: -0.023012 Loss_G: -0.007524 Loss_D_real: -0.004235 Loss_D_fake 0.018777
[706/5000][255/535][72675] Loss_D: -0.023701 Loss_G: 0.024459 Loss_D_real: -0.037741 Loss_D_fake -0.014040
[706/5000][260/535][72676] Loss_D: -0.024695 Loss_G: 0.009251 Loss_D_real: -0.009724 Loss_D_fake 0.014971
[706/5000][265/535][72677] Loss_D: -0.024060 Loss_G: -0.007059 Loss_D_real: -0.016163 Loss_D_fake 0.007897
[706/5000][270/535][72678] Loss_D: -0.023851 Loss_G: -0.012128 Loss_D_real: 0.005510 Loss_D_fake 0.029361
[706/5000][275/535][72679] Loss_D: -0.024245 Loss_G: 0.013398 Loss_D_real: -0.017003 Loss_D_fake 0.007241
[706/5000][280/535][72680] Loss_D: -0.025968 Loss_G: 0.006168 Loss_D_real: -0.009281 Loss_D_fake 0.016687
[706/5000][285/535][72681] Loss_D: -0.024698 Loss_G: 0.020997 Loss_D_real: -0.025928 Loss_D_fake -0.001230
[706/5000][290/535][72682] Loss_D: -0.023404 Loss_G: -0.013249 Loss_D_real: -0.011673 Loss_D_fake 0.011730
[706/5000][295/535][72683] Loss_D: -0.023529 Loss_G: 0.009921 Loss_D_real: -0.017452 Loss_D_fake 0.006077
[706/5000][300/535][72684] Loss_D: -0.023771 Loss_G: 0.029635 Loss_D_real: -0.029841 Loss_D_fake -0.006070
[706/5000][305/535][72685] Loss_D: -0.024305 Loss_G: 0.018763 Loss_D_real: -0.031731 Loss_D_fake -0.007426
[706/5000][310/535][72686] Loss_D: -0.023676 Loss_G: 0.013811 Loss_D_real: -0.024855 Loss_D_fake -0.001180
[706/5000][315/535][72687] Loss_D: -0.023570 Loss_G: -0.011074 Loss_D_real: -0.004688 Loss_D_fake 0.018882
[706/5000][320/535][72688] Loss_D: -0.021491 Loss_G: -0.015234 Loss_D_real: 0.002279 Loss_D_fake 0.023770
[706/5000][325/535][72689] Loss_D: -0.023003 Loss_G: 0.006847 Loss_D_real: -0.017452 Loss_D_fake 0.005550
[706/5000][330/535][72690] Loss_D: -0.024081 Loss_G: 0.009846 Loss_D_real: -0.013738 Loss_D_fake 0.010343
[706/5000][335/535][72691] Loss_D: -0.023357 Loss_G: 0.027658 Loss_D_real: -0.030778 Loss_D_fake -0.007421
[706/5000][340/535][72692] Loss_D: -0.025023 Loss_G: 0.025280 Loss_D_real: -0.027315 Loss_D_fake -0.002291
[706/5000][345/535][72693] Loss_D: -0.026310 Loss_G: 0.010659 Loss_D_real: -0.016647 Loss_D_fake 0.009663
[706/5000][350/535][72694] Loss_D: -0.024580 Loss_G: 0.017089 Loss_D_real: -0.021574 Loss_D_fake 0.003007
[706/5000][355/535][72695] Loss_D: -0.024450 Loss_G: 0.017204 Loss_D_real: -0.011805 Loss_D_fake 0.012645
[706/5000][360/535][72696] Loss_D: -0.024656 Loss_G: 0.000684 Loss_D_real: -0.025632 Loss_D_fake -0.000976
[706/5000][365/535][72697] Loss_D: -0.025965 Loss_G: 0.005254 Loss_D_real: -0.019206 Loss_D_fake 0.006760
[706/5000][370/535][72698] Loss_D: -0.023706 Loss_G: 0.014075 Loss_D_real: -0.027520 Loss_D_fake -0.003814
[706/5000][375/535][72699] Loss_D: -0.024399 Loss_G: 0.007895 Loss_D_real: -0.009797 Loss_D_fake 0.014602
[706/5000][380/535][72700] Loss_D: -0.023698 Loss_G: 0.029608 Loss_D_real: -0.041333 Loss_D_fake -0.017635
[706/5000][385/535][72701] Loss_D: -0.023431 Loss_G: -0.000075 Loss_D_real: -0.008398 Loss_D_fake 0.015033
[706/5000][390/535][72702] Loss_D: -0.024429 Loss_G: 0.009221 Loss_D_real: -0.022944 Loss_D_fake 0.001485
[706/5000][395/535][72703] Loss_D: -0.023873 Loss_G: 0.016781 Loss_D_real: -0.029227 Loss_D_fake -0.005354
[706/5000][400/535][72704] Loss_D: -0.023632 Loss_G: -0.016629 Loss_D_real: -0.020933 Loss_D_fake 0.002699
[706/5000][405/535][72705] Loss_D: -0.022555 Loss_G: 0.021065 Loss_D_real: -0.025003 Loss_D_fake -0.002448
[706/5000][410/535][72706] Loss_D: -0.023923 Loss_G: 0.009106 Loss_D_real: -0.018568 Loss_D_fake 0.005354
[706/5000][415/535][72707] Loss_D: -0.024780 Loss_G: 0.014368 Loss_D_real: -0.034216 Loss_D_fake -0.009436
[706/5000][420/535][72708] Loss_D: -0.025043 Loss_G: 0.014453 Loss_D_real: -0.019658 Loss_D_fake 0.005385
[706/5000][425/535][72709] Loss_D: -0.024598 Loss_G: 0.015063 Loss_D_real: -0.013671 Loss_D_fake 0.010927
[706/5000][430/535][72710] Loss_D: -0.022833 Loss_G: -0.011488 Loss_D_real: -0.012337 Loss_D_fake 0.010496
[706/5000][435/535][72711] Loss_D: -0.024038 Loss_G: 0.016720 Loss_D_real: -0.017877 Loss_D_fake 0.006161
[706/5000][440/535][72712] Loss_D: -0.024188 Loss_G: 0.020706 Loss_D_real: -0.026666 Loss_D_fake -0.002478
[706/5000][445/535][72713] Loss_D: -0.025009 Loss_G: 0.007298 Loss_D_real: -0.020243 Loss_D_fake 0.004766
[706/5000][450/535][72714] Loss_D: -0.023705 Loss_G: 0.025921 Loss_D_real: -0.033340 Loss_D_fake -0.009635
[706/5000][455/535][72715] Loss_D: -0.024444 Loss_G: -0.006501 Loss_D_real: -0.015783 Loss_D_fake 0.008661
[706/5000][460/535][72716] Loss_D: -0.024165 Loss_G: -0.018063 Loss_D_real: -0.004244 Loss_D_fake 0.019921
[706/5000][465/535][72717] Loss_D: -0.023087 Loss_G: 0.013900 Loss_D_real: -0.022581 Loss_D_fake 0.000506
[706/5000][470/535][72718] Loss_D: -0.024607 Loss_G: 0.002157 Loss_D_real: -0.014324 Loss_D_fake 0.010283
[706/5000][475/535][72719] Loss_D: -0.024153 Loss_G: 0.011039 Loss_D_real: -0.023356 Loss_D_fake 0.000797
[706/5000][480/535][72720] Loss_D: -0.024568 Loss_G: 0.013813 Loss_D_real: -0.019361 Loss_D_fake 0.005206
[706/5000][485/535][72721] Loss_D: -0.025529 Loss_G: 0.029297 Loss_D_real: -0.029459 Loss_D_fake -0.003930
[706/5000][490/535][72722] Loss_D: -0.025871 Loss_G: -0.000800 Loss_D_real: -0.014777 Loss_D_fake 0.011094
[706/5000][495/535][72723] Loss_D: -0.023638 Loss_G: 0.014193 Loss_D_real: -0.033146 Loss_D_fake -0.009508
[706/5000][500/535][72724] Loss_D: -0.024034 Loss_G: -0.012670 Loss_D_real: -0.004041 Loss_D_fake 0.019993
[706/5000][505/535][72725] Loss_D: -0.024068 Loss_G: 0.003796 Loss_D_real: -0.013839 Loss_D_fake 0.010229
[706/5000][510/535][72726] Loss_D: -0.025446 Loss_G: 0.015319 Loss_D_real: -0.025712 Loss_D_fake -0.000266
[706/5000][515/535][72727] Loss_D: -0.023742 Loss_G: 0.011845 Loss_D_real: -0.022802 Loss_D_fake 0.000941
[706/5000][520/535][72728] Loss_D: -0.024166 Loss_G: 0.026661 Loss_D_real: -0.031345 Loss_D_fake -0.007179
[706/5000][525/535][72729] Loss_D: -0.024652 Loss_G: 0.001850 Loss_D_real: -0.018756 Loss_D_fake 0.005896
[706/5000][530/535][72730] Loss_D: -0.024834 Loss_G: 0.010319 Loss_D_real: -0.013052 Loss_D_fake 0.011782
[706/5000][535/535][72731] Loss_D: -0.024720 Loss_G: -0.018636 Loss_D_real: -0.017883 Loss_D_fake 0.006837
[707/5000][5/535][72732] Loss_D: -0.023610 Loss_G: 0.024914 Loss_D_real: -0.036666 Loss_D_fake -0.013057
[707/5000][10/535][72733] Loss_D: -0.024552 Loss_G: -0.007956 Loss_D_real: -0.011481 Loss_D_fake 0.013071
[707/5000][15/535][72734] Loss_D: -0.024832 Loss_G: 0.015212 Loss_D_real: -0.020415 Loss_D_fake 0.004417
[707/5000][20/535][72735] Loss_D: -0.023971 Loss_G: 0.025825 Loss_D_real: -0.028677 Loss_D_fake -0.004706
[707/5000][25/535][72736] Loss_D: -0.024561 Loss_G: -0.001137 Loss_D_real: -0.014585 Loss_D_fake 0.009976
[707/5000][30/535][72737] Loss_D: -0.026059 Loss_G: 0.014148 Loss_D_real: -0.020251 Loss_D_fake 0.005808
[707/5000][35/535][72738] Loss_D: -0.024089 Loss_G: -0.009788 Loss_D_real: -0.002763 Loss_D_fake 0.021326
[707/5000][40/535][72739] Loss_D: -0.023503 Loss_G: 0.002774 Loss_D_real: -0.014293 Loss_D_fake 0.009209
[707/5000][45/535][72740] Loss_D: -0.022510 Loss_G: 0.013383 Loss_D_real: -0.021641 Loss_D_fake 0.000869
[707/5000][50/535][72741] Loss_D: -0.024158 Loss_G: 0.018090 Loss_D_real: -0.024234 Loss_D_fake -0.000076
[707/5000][55/535][72742] Loss_D: -0.022752 Loss_G: -0.007316 Loss_D_real: -0.016227 Loss_D_fake 0.006525
[707/5000][60/535][72743] Loss_D: -0.025417 Loss_G: 0.003268 Loss_D_real: -0.016263 Loss_D_fake 0.009155
[707/5000][65/535][72744] Loss_D: -0.022296 Loss_G: 0.022483 Loss_D_real: -0.030891 Loss_D_fake -0.008595
[707/5000][70/535][72745] Loss_D: -0.023615 Loss_G: 0.009708 Loss_D_real: -0.031340 Loss_D_fake -0.007725
[707/5000][75/535][72746] Loss_D: -0.023987 Loss_G: 0.016278 Loss_D_real: -0.027420 Loss_D_fake -0.003433
[707/5000][80/535][72747] Loss_D: -0.022871 Loss_G: 0.020683 Loss_D_real: -0.035467 Loss_D_fake -0.012596
[707/5000][85/535][72748] Loss_D: -0.024837 Loss_G: 0.004004 Loss_D_real: -0.022859 Loss_D_fake 0.001977
[707/5000][90/535][72749] Loss_D: -0.022526 Loss_G: 0.021524 Loss_D_real: -0.032887 Loss_D_fake -0.010361
[707/5000][95/535][72750] Loss_D: -0.023969 Loss_G: 0.000252 Loss_D_real: -0.009568 Loss_D_fake 0.014401
[707/5000][100/535][72751] Loss_D: -0.023441 Loss_G: 0.026148 Loss_D_real: -0.026293 Loss_D_fake -0.002852
[707/5000][105/535][72752] Loss_D: -0.025131 Loss_G: -0.001423 Loss_D_real: -0.019627 Loss_D_fake 0.005504
[707/5000][110/535][72753] Loss_D: -0.023580 Loss_G: 0.012313 Loss_D_real: -0.018945 Loss_D_fake 0.004635
[707/5000][115/535][72754] Loss_D: -0.024231 Loss_G: -0.001605 Loss_D_real: -0.011336 Loss_D_fake 0.012895
[707/5000][120/535][72755] Loss_D: -0.023654 Loss_G: 0.016027 Loss_D_real: -0.026395 Loss_D_fake -0.002741
[707/5000][125/535][72756] Loss_D: -0.022752 Loss_G: 0.027091 Loss_D_real: -0.028027 Loss_D_fake -0.005276
[707/5000][130/535][72757] Loss_D: -0.024075 Loss_G: 0.014578 Loss_D_real: -0.017815 Loss_D_fake 0.006260
[707/5000][135/535][72758] Loss_D: -0.023171 Loss_G: -0.006504 Loss_D_real: -0.014429 Loss_D_fake 0.008743
[707/5000][140/535][72759] Loss_D: -0.023274 Loss_G: 0.020930 Loss_D_real: -0.024157 Loss_D_fake -0.000883
[707/5000][145/535][72760] Loss_D: -0.022174 Loss_G: 0.011539 Loss_D_real: -0.020936 Loss_D_fake 0.001238
[707/5000][150/535][72761] Loss_D: -0.022747 Loss_G: 0.016215 Loss_D_real: -0.032491 Loss_D_fake -0.009743
[707/5000][155/535][72762] Loss_D: -0.024440 Loss_G: 0.008621 Loss_D_real: -0.024903 Loss_D_fake -0.000463
[707/5000][160/535][72763] Loss_D: -0.023868 Loss_G: 0.001413 Loss_D_real: -0.009345 Loss_D_fake 0.014524
[707/5000][165/535][72764] Loss_D: -0.024324 Loss_G: 0.010605 Loss_D_real: -0.013699 Loss_D_fake 0.010625
[707/5000][170/535][72765] Loss_D: -0.023952 Loss_G: -0.012299 Loss_D_real: -0.010674 Loss_D_fake 0.013277
[707/5000][175/535][72766] Loss_D: -0.025102 Loss_G: 0.027343 Loss_D_real: -0.026919 Loss_D_fake -0.001817
[707/5000][180/535][72767] Loss_D: -0.023830 Loss_G: -0.015055 Loss_D_real: -0.002954 Loss_D_fake 0.020877
[707/5000][185/535][72768] Loss_D: -0.025621 Loss_G: 0.013698 Loss_D_real: -0.016497 Loss_D_fake 0.009124
[707/5000][190/535][72769] Loss_D: -0.024942 Loss_G: 0.000587 Loss_D_real: -0.011973 Loss_D_fake 0.012969
[707/5000][195/535][72770] Loss_D: -0.024514 Loss_G: 0.017065 Loss_D_real: -0.034969 Loss_D_fake -0.010455
[707/5000][200/535][72771] Loss_D: -0.024453 Loss_G: 0.004426 Loss_D_real: -0.013479 Loss_D_fake 0.010974
[707/5000][205/535][72772] Loss_D: -0.021494 Loss_G: 0.037378 Loss_D_real: -0.036879 Loss_D_fake -0.015385
[707/5000][210/535][72773] Loss_D: -0.025437 Loss_G: 0.015947 Loss_D_real: -0.019841 Loss_D_fake 0.005596
[707/5000][215/535][72774] Loss_D: -0.024632 Loss_G: 0.013865 Loss_D_real: -0.023787 Loss_D_fake 0.000845
[707/5000][220/535][72775] Loss_D: -0.024031 Loss_G: 0.016085 Loss_D_real: -0.022810 Loss_D_fake 0.001221
[707/5000][225/535][72776] Loss_D: -0.024915 Loss_G: 0.008095 Loss_D_real: -0.004558 Loss_D_fake 0.020357
[707/5000][230/535][72777] Loss_D: -0.024088 Loss_G: 0.023970 Loss_D_real: -0.029709 Loss_D_fake -0.005621
[707/5000][235/535][72778] Loss_D: -0.025348 Loss_G: 0.024782 Loss_D_real: -0.024763 Loss_D_fake 0.000585
[707/5000][240/535][72779] Loss_D: -0.024409 Loss_G: -0.004316 Loss_D_real: -0.008469 Loss_D_fake 0.015940
[707/5000][245/535][72780] Loss_D: -0.023948 Loss_G: 0.021301 Loss_D_real: -0.030078 Loss_D_fake -0.006130
[707/5000][250/535][72781] Loss_D: -0.024824 Loss_G: 0.018190 Loss_D_real: -0.030412 Loss_D_fake -0.005589
[707/5000][255/535][72782] Loss_D: -0.025140 Loss_G: -0.017076 Loss_D_real: -0.016516 Loss_D_fake 0.008625
[707/5000][260/535][72783] Loss_D: -0.023318 Loss_G: -0.006347 Loss_D_real: -0.003256 Loss_D_fake 0.020062
[707/5000][265/535][72784] Loss_D: -0.023752 Loss_G: 0.005539 Loss_D_real: -0.020285 Loss_D_fake 0.003467
[707/5000][270/535][72785] Loss_D: -0.023018 Loss_G: 0.003527 Loss_D_real: -0.022776 Loss_D_fake 0.000242
[707/5000][275/535][72786] Loss_D: -0.025109 Loss_G: 0.013166 Loss_D_real: -0.024990 Loss_D_fake 0.000119
[707/5000][280/535][72787] Loss_D: -0.024886 Loss_G: 0.009894 Loss_D_real: -0.019698 Loss_D_fake 0.005188
[707/5000][285/535][72788] Loss_D: -0.024592 Loss_G: 0.006769 Loss_D_real: -0.015000 Loss_D_fake 0.009592
[707/5000][290/535][72789] Loss_D: -0.024380 Loss_G: 0.015436 Loss_D_real: -0.026414 Loss_D_fake -0.002034
[707/5000][295/535][72790] Loss_D: -0.023508 Loss_G: 0.017401 Loss_D_real: -0.034599 Loss_D_fake -0.011091
[707/5000][300/535][72791] Loss_D: -0.024501 Loss_G: 0.004179 Loss_D_real: -0.011978 Loss_D_fake 0.012523
[707/5000][305/535][72792] Loss_D: -0.023803 Loss_G: 0.014809 Loss_D_real: -0.018134 Loss_D_fake 0.005669
[707/5000][310/535][72793] Loss_D: -0.022277 Loss_G: -0.015792 Loss_D_real: 0.006649 Loss_D_fake 0.028926
[707/5000][315/535][72794] Loss_D: -0.024520 Loss_G: 0.017992 Loss_D_real: -0.021020 Loss_D_fake 0.003500
[707/5000][320/535][72795] Loss_D: -0.024125 Loss_G: 0.019684 Loss_D_real: -0.024089 Loss_D_fake 0.000036
[707/5000][325/535][72796] Loss_D: -0.023609 Loss_G: 0.012824 Loss_D_real: -0.029977 Loss_D_fake -0.006368
[707/5000][330/535][72797] Loss_D: -0.024175 Loss_G: 0.025870 Loss_D_real: -0.027061 Loss_D_fake -0.002886
[707/5000][335/535][72798] Loss_D: -0.023371 Loss_G: 0.025008 Loss_D_real: -0.024231 Loss_D_fake -0.000861
[707/5000][340/535][72799] Loss_D: -0.024392 Loss_G: -0.017084 Loss_D_real: -0.006108 Loss_D_fake 0.018284
[707/5000][345/535][72800] Loss_D: -0.024743 Loss_G: 0.017780 Loss_D_real: -0.021294 Loss_D_fake 0.003449
[707/5000][350/535][72801] Loss_D: -0.025739 Loss_G: 0.004415 Loss_D_real: -0.016863 Loss_D_fake 0.008876
[707/5000][355/535][72802] Loss_D: -0.024686 Loss_G: 0.017441 Loss_D_real: -0.024288 Loss_D_fake 0.000398
[707/5000][360/535][72803] Loss_D: -0.024470 Loss_G: 0.002780 Loss_D_real: -0.009263 Loss_D_fake 0.015207
[707/5000][365/535][72804] Loss_D: -0.025528 Loss_G: 0.001473 Loss_D_real: -0.011695 Loss_D_fake 0.013833
[707/5000][370/535][72805] Loss_D: -0.024378 Loss_G: -0.001383 Loss_D_real: -0.011674 Loss_D_fake 0.012704
[707/5000][375/535][72806] Loss_D: -0.026588 Loss_G: 0.016960 Loss_D_real: -0.016830 Loss_D_fake 0.009758
[707/5000][380/535][72807] Loss_D: -0.025645 Loss_G: 0.003264 Loss_D_real: -0.010317 Loss_D_fake 0.015327
[707/5000][385/535][72808] Loss_D: -0.025076 Loss_G: 0.000717 Loss_D_real: -0.008289 Loss_D_fake 0.016787
[707/5000][390/535][72809] Loss_D: -0.025448 Loss_G: 0.012930 Loss_D_real: -0.024713 Loss_D_fake 0.000735
[707/5000][395/535][72810] Loss_D: -0.022900 Loss_G: 0.030254 Loss_D_real: -0.036508 Loss_D_fake -0.013608
[707/5000][400/535][72811] Loss_D: -0.022415 Loss_G: 0.024007 Loss_D_real: -0.044537 Loss_D_fake -0.022122
[707/5000][405/535][72812] Loss_D: -0.025934 Loss_G: 0.012585 Loss_D_real: -0.032801 Loss_D_fake -0.006867
[707/5000][410/535][72813] Loss_D: -0.024044 Loss_G: 0.022711 Loss_D_real: -0.030711 Loss_D_fake -0.006667
[707/5000][415/535][72814] Loss_D: -0.025542 Loss_G: 0.000866 Loss_D_real: -0.005620 Loss_D_fake 0.019922
[707/5000][420/535][72815] Loss_D: -0.025325 Loss_G: 0.000749 Loss_D_real: -0.014911 Loss_D_fake 0.010414
[707/5000][425/535][72816] Loss_D: -0.025472 Loss_G: 0.021326 Loss_D_real: -0.017622 Loss_D_fake 0.007849
[707/5000][430/535][72817] Loss_D: -0.024519 Loss_G: -0.012621 Loss_D_real: -0.010584 Loss_D_fake 0.013935
[707/5000][435/535][72818] Loss_D: -0.023458 Loss_G: 0.011692 Loss_D_real: -0.021806 Loss_D_fake 0.001652
[707/5000][440/535][72819] Loss_D: -0.024000 Loss_G: 0.005992 Loss_D_real: -0.024919 Loss_D_fake -0.000919
[707/5000][445/535][72820] Loss_D: -0.023296 Loss_G: 0.029248 Loss_D_real: -0.025636 Loss_D_fake -0.002340
[707/5000][450/535][72821] Loss_D: -0.024464 Loss_G: -0.009085 Loss_D_real: -0.004432 Loss_D_fake 0.020032
[707/5000][455/535][72822] Loss_D: -0.023835 Loss_G: 0.015673 Loss_D_real: -0.024163 Loss_D_fake -0.000328
[707/5000][460/535][72823] Loss_D: -0.023266 Loss_G: 0.018041 Loss_D_real: -0.030879 Loss_D_fake -0.007614
[707/5000][465/535][72824] Loss_D: -0.024846 Loss_G: 0.014456 Loss_D_real: -0.015117 Loss_D_fake 0.009729
[707/5000][470/535][72825] Loss_D: -0.025940 Loss_G: 0.005553 Loss_D_real: -0.025634 Loss_D_fake 0.000305
[707/5000][475/535][72826] Loss_D: -0.025861 Loss_G: -0.005288 Loss_D_real: -0.011871 Loss_D_fake 0.013990
[707/5000][480/535][72827] Loss_D: -0.025834 Loss_G: 0.018037 Loss_D_real: -0.027139 Loss_D_fake -0.001305
[707/5000][485/535][72828] Loss_D: -0.025689 Loss_G: 0.020417 Loss_D_real: -0.024575 Loss_D_fake 0.001115
[707/5000][490/535][72829] Loss_D: -0.024940 Loss_G: 0.000288 Loss_D_real: -0.013975 Loss_D_fake 0.010965
[707/5000][495/535][72830] Loss_D: -0.023607 Loss_G: 0.008264 Loss_D_real: -0.020518 Loss_D_fake 0.003090
[707/5000][500/535][72831] Loss_D: -0.024020 Loss_G: 0.012993 Loss_D_real: -0.029939 Loss_D_fake -0.005919
[707/5000][505/535][72832] Loss_D: -0.024481 Loss_G: 0.000238 Loss_D_real: -0.015005 Loss_D_fake 0.009476
[707/5000][510/535][72833] Loss_D: -0.024584 Loss_G: 0.013519 Loss_D_real: -0.016160 Loss_D_fake 0.008424
[707/5000][515/535][72834] Loss_D: -0.023691 Loss_G: 0.006422 Loss_D_real: -0.002348 Loss_D_fake 0.021343
[707/5000][520/535][72835] Loss_D: -0.024434 Loss_G: 0.007689 Loss_D_real: -0.025344 Loss_D_fake -0.000910
[707/5000][525/535][72836] Loss_D: -0.025241 Loss_G: 0.004182 Loss_D_real: -0.027951 Loss_D_fake -0.002710
[707/5000][530/535][72837] Loss_D: -0.023025 Loss_G: 0.016219 Loss_D_real: -0.021201 Loss_D_fake 0.001824
[707/5000][535/535][72838] Loss_D: -0.025575 Loss_G: 0.021453 Loss_D_real: -0.022291 Loss_D_fake 0.003284
[708/5000][5/535][72839] Loss_D: -0.024798 Loss_G: 0.012857 Loss_D_real: -0.013871 Loss_D_fake 0.010927
[708/5000][10/535][72840] Loss_D: -0.025204 Loss_G: -0.006304 Loss_D_real: -0.014300 Loss_D_fake 0.010904
[708/5000][15/535][72841] Loss_D: -0.023209 Loss_G: 0.014002 Loss_D_real: -0.032698 Loss_D_fake -0.009490
[708/5000][20/535][72842] Loss_D: -0.023329 Loss_G: 0.007929 Loss_D_real: -0.027262 Loss_D_fake -0.003933
[708/5000][25/535][72843] Loss_D: -0.024855 Loss_G: 0.014542 Loss_D_real: -0.029255 Loss_D_fake -0.004400
[708/5000][30/535][72844] Loss_D: -0.024542 Loss_G: 0.011903 Loss_D_real: -0.030010 Loss_D_fake -0.005468
[708/5000][35/535][72845] Loss_D: -0.024096 Loss_G: -0.010170 Loss_D_real: 0.001480 Loss_D_fake 0.025576
[708/5000][40/535][72846] Loss_D: -0.024284 Loss_G: 0.010572 Loss_D_real: -0.017124 Loss_D_fake 0.007160
[708/5000][45/535][72847] Loss_D: -0.023911 Loss_G: 0.004098 Loss_D_real: -0.004437 Loss_D_fake 0.019474
[708/5000][50/535][72848] Loss_D: -0.022818 Loss_G: 0.021818 Loss_D_real: -0.024631 Loss_D_fake -0.001813
[708/5000][55/535][72849] Loss_D: -0.022859 Loss_G: -0.009350 Loss_D_real: -0.005340 Loss_D_fake 0.017520
[708/5000][60/535][72850] Loss_D: -0.023959 Loss_G: 0.017342 Loss_D_real: -0.025791 Loss_D_fake -0.001831
[708/5000][65/535][72851] Loss_D: -0.024096 Loss_G: 0.008316 Loss_D_real: -0.012817 Loss_D_fake 0.011279
[708/5000][70/535][72852] Loss_D: -0.024188 Loss_G: 0.022847 Loss_D_real: -0.024815 Loss_D_fake -0.000627
[708/5000][75/535][72853] Loss_D: -0.024894 Loss_G: 0.012774 Loss_D_real: -0.020272 Loss_D_fake 0.004622
[708/5000][80/535][72854] Loss_D: -0.025210 Loss_G: 0.011673 Loss_D_real: -0.019749 Loss_D_fake 0.005461
[708/5000][85/535][72855] Loss_D: -0.024251 Loss_G: 0.023105 Loss_D_real: -0.022243 Loss_D_fake 0.002008
[708/5000][90/535][72856] Loss_D: -0.024968 Loss_G: 0.014761 Loss_D_real: -0.037494 Loss_D_fake -0.012526
[708/5000][95/535][72857] Loss_D: -0.025063 Loss_G: 0.000646 Loss_D_real: -0.014700 Loss_D_fake 0.010363
[708/5000][100/535][72858] Loss_D: -0.024429 Loss_G: 0.016582 Loss_D_real: -0.035569 Loss_D_fake -0.011140
[708/5000][105/535][72859] Loss_D: -0.024968 Loss_G: -0.006777 Loss_D_real: -0.012085 Loss_D_fake 0.012883
[708/5000][110/535][72860] Loss_D: -0.025059 Loss_G: 0.011613 Loss_D_real: -0.025501 Loss_D_fake -0.000442
[708/5000][115/535][72861] Loss_D: -0.023668 Loss_G: 0.014400 Loss_D_real: -0.031571 Loss_D_fake -0.007903
[708/5000][120/535][72862] Loss_D: -0.025893 Loss_G: 0.003462 Loss_D_real: 0.001142 Loss_D_fake 0.027035
[708/5000][125/535][72863] Loss_D: -0.024308 Loss_G: 0.019308 Loss_D_real: -0.024407 Loss_D_fake -0.000099
[708/5000][130/535][72864] Loss_D: -0.024977 Loss_G: -0.007004 Loss_D_real: -0.016225 Loss_D_fake 0.008752
[708/5000][135/535][72865] Loss_D: -0.024846 Loss_G: 0.010550 Loss_D_real: -0.028506 Loss_D_fake -0.003660
[708/5000][140/535][72866] Loss_D: -0.024398 Loss_G: 0.022722 Loss_D_real: -0.024766 Loss_D_fake -0.000367
[708/5000][145/535][72867] Loss_D: -0.023452 Loss_G: 0.022935 Loss_D_real: -0.032098 Loss_D_fake -0.008646
[708/5000][150/535][72868] Loss_D: -0.024660 Loss_G: 0.012971 Loss_D_real: -0.023447 Loss_D_fake 0.001213
[708/5000][155/535][72869] Loss_D: -0.023340 Loss_G: 0.020234 Loss_D_real: -0.040294 Loss_D_fake -0.016954
[708/5000][160/535][72870] Loss_D: -0.024051 Loss_G: 0.014484 Loss_D_real: -0.024763 Loss_D_fake -0.000712
[708/5000][165/535][72871] Loss_D: -0.025152 Loss_G: -0.006059 Loss_D_real: -0.017873 Loss_D_fake 0.007278
[708/5000][170/535][72872] Loss_D: -0.024376 Loss_G: 0.012584 Loss_D_real: -0.022899 Loss_D_fake 0.001477
[708/5000][175/535][72873] Loss_D: -0.024598 Loss_G: 0.011462 Loss_D_real: -0.018357 Loss_D_fake 0.006241
[708/5000][180/535][72874] Loss_D: -0.023842 Loss_G: -0.000354 Loss_D_real: -0.016495 Loss_D_fake 0.007346
[708/5000][185/535][72875] Loss_D: -0.021744 Loss_G: 0.033076 Loss_D_real: -0.037542 Loss_D_fake -0.015798
[708/5000][190/535][72876] Loss_D: -0.023957 Loss_G: 0.000302 Loss_D_real: -0.016591 Loss_D_fake 0.007365
[708/5000][195/535][72877] Loss_D: -0.023166 Loss_G: 0.007988 Loss_D_real: -0.017082 Loss_D_fake 0.006084
[708/5000][200/535][72878] Loss_D: -0.024890 Loss_G: 0.010013 Loss_D_real: -0.019259 Loss_D_fake 0.005631
[708/5000][205/535][72879] Loss_D: -0.022876 Loss_G: 0.018456 Loss_D_real: -0.023538 Loss_D_fake -0.000663
[708/5000][210/535][72880] Loss_D: -0.024083 Loss_G: -0.004604 Loss_D_real: -0.008842 Loss_D_fake 0.015241
[708/5000][215/535][72881] Loss_D: -0.024005 Loss_G: 0.005758 Loss_D_real: -0.018667 Loss_D_fake 0.005337
[708/5000][220/535][72882] Loss_D: -0.024151 Loss_G: 0.016592 Loss_D_real: -0.022134 Loss_D_fake 0.002017
[708/5000][225/535][72883] Loss_D: -0.025021 Loss_G: 0.011273 Loss_D_real: -0.024631 Loss_D_fake 0.000389
[708/5000][230/535][72884] Loss_D: -0.022552 Loss_G: -0.020456 Loss_D_real: 0.001002 Loss_D_fake 0.023554
[708/5000][235/535][72885] Loss_D: -0.023560 Loss_G: 0.020751 Loss_D_real: -0.025156 Loss_D_fake -0.001596
[708/5000][240/535][72886] Loss_D: -0.024573 Loss_G: -0.003770 Loss_D_real: -0.017977 Loss_D_fake 0.006596
[708/5000][245/535][72887] Loss_D: -0.023420 Loss_G: 0.017908 Loss_D_real: -0.024224 Loss_D_fake -0.000804
[708/5000][250/535][72888] Loss_D: -0.023744 Loss_G: 0.020498 Loss_D_real: -0.027090 Loss_D_fake -0.003346
[708/5000][255/535][72889] Loss_D: -0.024584 Loss_G: 0.025081 Loss_D_real: -0.031667 Loss_D_fake -0.007083
[708/5000][260/535][72890] Loss_D: -0.023264 Loss_G: 0.009643 Loss_D_real: -0.023090 Loss_D_fake 0.000174
[708/5000][265/535][72891] Loss_D: -0.025546 Loss_G: 0.014896 Loss_D_real: -0.018642 Loss_D_fake 0.006904
[708/5000][270/535][72892] Loss_D: -0.024729 Loss_G: 0.024545 Loss_D_real: -0.025919 Loss_D_fake -0.001190
[708/5000][275/535][72893] Loss_D: -0.025633 Loss_G: 0.013989 Loss_D_real: -0.014968 Loss_D_fake 0.010665
[708/5000][280/535][72894] Loss_D: -0.024585 Loss_G: 0.019417 Loss_D_real: -0.036712 Loss_D_fake -0.012127
[708/5000][285/535][72895] Loss_D: -0.023915 Loss_G: 0.028522 Loss_D_real: -0.036385 Loss_D_fake -0.012470
[708/5000][290/535][72896] Loss_D: -0.024794 Loss_G: 0.003622 Loss_D_real: -0.019395 Loss_D_fake 0.005398
[708/5000][295/535][72897] Loss_D: -0.025260 Loss_G: 0.015191 Loss_D_real: -0.027877 Loss_D_fake -0.002617
[708/5000][300/535][72898] Loss_D: -0.025046 Loss_G: 0.016227 Loss_D_real: -0.019661 Loss_D_fake 0.005385
[708/5000][305/535][72899] Loss_D: -0.025444 Loss_G: -0.004478 Loss_D_real: -0.012987 Loss_D_fake 0.012457
[708/5000][310/535][72900] Loss_D: -0.024066 Loss_G: 0.017388 Loss_D_real: -0.015614 Loss_D_fake 0.008452
[708/5000][315/535][72901] Loss_D: -0.024596 Loss_G: -0.001268 Loss_D_real: -0.022236 Loss_D_fake 0.002360
[708/5000][320/535][72902] Loss_D: -0.023752 Loss_G: 0.025420 Loss_D_real: -0.020825 Loss_D_fake 0.002928
[708/5000][325/535][72903] Loss_D: -0.025493 Loss_G: 0.003804 Loss_D_real: -0.020849 Loss_D_fake 0.004644
[708/5000][330/535][72904] Loss_D: -0.022701 Loss_G: -0.002326 Loss_D_real: -0.018594 Loss_D_fake 0.004107
[708/5000][335/535][72905] Loss_D: -0.025150 Loss_G: 0.015042 Loss_D_real: -0.022139 Loss_D_fake 0.003011
[708/5000][340/535][72906] Loss_D: -0.023597 Loss_G: -0.002147 Loss_D_real: -0.005687 Loss_D_fake 0.017909
[708/5000][345/535][72907] Loss_D: -0.023546 Loss_G: 0.028011 Loss_D_real: -0.031725 Loss_D_fake -0.008180
[708/5000][350/535][72908] Loss_D: -0.023306 Loss_G: 0.001632 Loss_D_real: -0.011952 Loss_D_fake 0.011355
[708/5000][355/535][72909] Loss_D: -0.023483 Loss_G: 0.011840 Loss_D_real: -0.020273 Loss_D_fake 0.003210
[708/5000][360/535][72910] Loss_D: -0.023827 Loss_G: 0.023606 Loss_D_real: -0.028965 Loss_D_fake -0.005137
[708/5000][365/535][72911] Loss_D: -0.023435 Loss_G: 0.003765 Loss_D_real: -0.014169 Loss_D_fake 0.009267
[708/5000][370/535][72912] Loss_D: -0.025082 Loss_G: 0.003774 Loss_D_real: -0.025384 Loss_D_fake -0.000302
[708/5000][375/535][72913] Loss_D: -0.023367 Loss_G: -0.002693 Loss_D_real: -0.015040 Loss_D_fake 0.008327
[708/5000][380/535][72914] Loss_D: -0.023825 Loss_G: 0.000002 Loss_D_real: -0.009864 Loss_D_fake 0.013961
[708/5000][385/535][72915] Loss_D: -0.024006 Loss_G: 0.018879 Loss_D_real: -0.026468 Loss_D_fake -0.002461
[708/5000][390/535][72916] Loss_D: -0.023917 Loss_G: 0.008098 Loss_D_real: -0.025392 Loss_D_fake -0.001475
[708/5000][395/535][72917] Loss_D: -0.025000 Loss_G: 0.011767 Loss_D_real: -0.030537 Loss_D_fake -0.005536
[708/5000][400/535][72918] Loss_D: -0.025464 Loss_G: -0.000153 Loss_D_real: -0.011665 Loss_D_fake 0.013799
[708/5000][405/535][72919] Loss_D: -0.024739 Loss_G: 0.021380 Loss_D_real: -0.025027 Loss_D_fake -0.000289
[708/5000][410/535][72920] Loss_D: -0.023864 Loss_G: -0.004549 Loss_D_real: -0.002465 Loss_D_fake 0.021399
[708/5000][415/535][72921] Loss_D: -0.023286 Loss_G: 0.015204 Loss_D_real: -0.034908 Loss_D_fake -0.011622
[708/5000][420/535][72922] Loss_D: -0.023538 Loss_G: 0.005986 Loss_D_real: -0.020519 Loss_D_fake 0.003019
[708/5000][425/535][72923] Loss_D: -0.025298 Loss_G: -0.009538 Loss_D_real: -0.014895 Loss_D_fake 0.010403
[708/5000][430/535][72924] Loss_D: -0.024787 Loss_G: 0.000425 Loss_D_real: -0.026181 Loss_D_fake -0.001394
[708/5000][435/535][72925] Loss_D: -0.024594 Loss_G: 0.022545 Loss_D_real: -0.022481 Loss_D_fake 0.002113
[708/5000][440/535][72926] Loss_D: -0.026390 Loss_G: 0.003452 Loss_D_real: -0.020274 Loss_D_fake 0.006116
[708/5000][445/535][72927] Loss_D: -0.025215 Loss_G: -0.004425 Loss_D_real: -0.012543 Loss_D_fake 0.012673
[708/5000][450/535][72928] Loss_D: -0.024339 Loss_G: 0.006334 Loss_D_real: -0.018739 Loss_D_fake 0.005600
[708/5000][455/535][72929] Loss_D: -0.024709 Loss_G: 0.001476 Loss_D_real: -0.017267 Loss_D_fake 0.007442
[708/5000][460/535][72930] Loss_D: -0.023154 Loss_G: -0.002918 Loss_D_real: 0.003535 Loss_D_fake 0.026689
[708/5000][465/535][72931] Loss_D: -0.024071 Loss_G: 0.010252 Loss_D_real: -0.018467 Loss_D_fake 0.005604
[708/5000][470/535][72932] Loss_D: -0.023303 Loss_G: -0.017919 Loss_D_real: 0.002762 Loss_D_fake 0.026065
[708/5000][475/535][72933] Loss_D: -0.022590 Loss_G: 0.013178 Loss_D_real: -0.033244 Loss_D_fake -0.010654
[708/5000][480/535][72934] Loss_D: -0.025379 Loss_G: 0.018324 Loss_D_real: -0.022207 Loss_D_fake 0.003172
[708/5000][485/535][72935] Loss_D: -0.024230 Loss_G: 0.019244 Loss_D_real: -0.023462 Loss_D_fake 0.000768
[708/5000][490/535][72936] Loss_D: -0.024483 Loss_G: -0.007921 Loss_D_real: 0.001675 Loss_D_fake 0.026158
[708/5000][495/535][72937] Loss_D: -0.023479 Loss_G: 0.008303 Loss_D_real: -0.014021 Loss_D_fake 0.009459
[708/5000][500/535][72938] Loss_D: -0.023948 Loss_G: 0.025952 Loss_D_real: -0.032650 Loss_D_fake -0.008703
[708/5000][505/535][72939] Loss_D: -0.024055 Loss_G: -0.006968 Loss_D_real: -0.005941 Loss_D_fake 0.018114
[708/5000][510/535][72940] Loss_D: -0.023373 Loss_G: -0.013657 Loss_D_real: 0.002633 Loss_D_fake 0.026006
[708/5000][515/535][72941] Loss_D: -0.023998 Loss_G: 0.010452 Loss_D_real: -0.020711 Loss_D_fake 0.003286
[708/5000][520/535][72942] Loss_D: -0.024608 Loss_G: 0.017095 Loss_D_real: -0.031524 Loss_D_fake -0.006916
[708/5000][525/535][72943] Loss_D: -0.024521 Loss_G: 0.007294 Loss_D_real: -0.027786 Loss_D_fake -0.003266
[708/5000][530/535][72944] Loss_D: -0.025546 Loss_G: 0.022751 Loss_D_real: -0.024197 Loss_D_fake 0.001349
[708/5000][535/535][72945] Loss_D: -0.022877 Loss_G: -0.011399 Loss_D_real: -0.003008 Loss_D_fake 0.019870
[709/5000][5/535][72946] Loss_D: -0.023357 Loss_G: 0.017462 Loss_D_real: -0.016650 Loss_D_fake 0.006706
[709/5000][10/535][72947] Loss_D: -0.022881 Loss_G: 0.021354 Loss_D_real: -0.035015 Loss_D_fake -0.012133
[709/5000][15/535][72948] Loss_D: -0.024445 Loss_G: 0.018313 Loss_D_real: -0.012172 Loss_D_fake 0.012273
[709/5000][20/535][72949] Loss_D: -0.024186 Loss_G: -0.004736 Loss_D_real: -0.008598 Loss_D_fake 0.015588
[709/5000][25/535][72950] Loss_D: -0.023368 Loss_G: 0.019130 Loss_D_real: -0.031431 Loss_D_fake -0.008063
[709/5000][30/535][72951] Loss_D: -0.023693 Loss_G: 0.035583 Loss_D_real: -0.030265 Loss_D_fake -0.006572
[709/5000][35/535][72952] Loss_D: -0.023929 Loss_G: 0.006654 Loss_D_real: -0.014128 Loss_D_fake 0.009801
[709/5000][40/535][72953] Loss_D: -0.024828 Loss_G: 0.013675 Loss_D_real: -0.020989 Loss_D_fake 0.003839
[709/5000][45/535][72954] Loss_D: -0.025985 Loss_G: 0.006813 Loss_D_real: -0.027780 Loss_D_fake -0.001794
[709/5000][50/535][72955] Loss_D: -0.024441 Loss_G: 0.025299 Loss_D_real: -0.034352 Loss_D_fake -0.009911
[709/5000][55/535][72956] Loss_D: -0.024159 Loss_G: -0.010122 Loss_D_real: -0.002674 Loss_D_fake 0.021485
[709/5000][60/535][72957] Loss_D: -0.024970 Loss_G: 0.010258 Loss_D_real: -0.014100 Loss_D_fake 0.010870
[709/5000][65/535][72958] Loss_D: -0.023371 Loss_G: 0.010155 Loss_D_real: -0.017538 Loss_D_fake 0.005833
[709/5000][70/535][72959] Loss_D: -0.023867 Loss_G: 0.016625 Loss_D_real: -0.034330 Loss_D_fake -0.010463
[709/5000][75/535][72960] Loss_D: -0.024545 Loss_G: 0.008296 Loss_D_real: -0.028486 Loss_D_fake -0.003941
[709/5000][80/535][72961] Loss_D: -0.024027 Loss_G: 0.006370 Loss_D_real: -0.011209 Loss_D_fake 0.012819
[709/5000][85/535][72962] Loss_D: -0.024990 Loss_G: 0.007778 Loss_D_real: -0.023195 Loss_D_fake 0.001795
[709/5000][90/535][72963] Loss_D: -0.023704 Loss_G: 0.009206 Loss_D_real: -0.022821 Loss_D_fake 0.000883
[709/5000][95/535][72964] Loss_D: -0.023012 Loss_G: 0.014881 Loss_D_real: -0.020960 Loss_D_fake 0.002052
[709/5000][100/535][72965] Loss_D: -0.023232 Loss_G: 0.005954 Loss_D_real: -0.018478 Loss_D_fake 0.004754
[709/5000][105/535][72966] Loss_D: -0.023458 Loss_G: -0.009108 Loss_D_real: -0.007840 Loss_D_fake 0.015618
[709/5000][110/535][72967] Loss_D: -0.023973 Loss_G: 0.016339 Loss_D_real: -0.032312 Loss_D_fake -0.008339
[709/5000][115/535][72968] Loss_D: -0.023767 Loss_G: 0.022596 Loss_D_real: -0.018618 Loss_D_fake 0.005149
[709/5000][120/535][72969] Loss_D: -0.024421 Loss_G: -0.004331 Loss_D_real: -0.007546 Loss_D_fake 0.016875
[709/5000][125/535][72970] Loss_D: -0.023735 Loss_G: 0.015705 Loss_D_real: -0.026197 Loss_D_fake -0.002462
[709/5000][130/535][72971] Loss_D: -0.025148 Loss_G: -0.010705 Loss_D_real: -0.012172 Loss_D_fake 0.012976
[709/5000][135/535][72972] Loss_D: -0.024312 Loss_G: 0.015896 Loss_D_real: -0.025645 Loss_D_fake -0.001333
[709/5000][140/535][72973] Loss_D: -0.024040 Loss_G: 0.017679 Loss_D_real: -0.021335 Loss_D_fake 0.002705
[709/5000][145/535][72974] Loss_D: -0.024344 Loss_G: -0.003226 Loss_D_real: -0.008308 Loss_D_fake 0.016036
[709/5000][150/535][72975] Loss_D: -0.022914 Loss_G: 0.021398 Loss_D_real: -0.025697 Loss_D_fake -0.002783
[709/5000][155/535][72976] Loss_D: -0.024189 Loss_G: 0.015056 Loss_D_real: -0.023817 Loss_D_fake 0.000372
[709/5000][160/535][72977] Loss_D: -0.023544 Loss_G: -0.007468 Loss_D_real: -0.004638 Loss_D_fake 0.018907
[709/5000][165/535][72978] Loss_D: -0.024084 Loss_G: 0.005172 Loss_D_real: -0.022876 Loss_D_fake 0.001208
[709/5000][170/535][72979] Loss_D: -0.022760 Loss_G: -0.006575 Loss_D_real: -0.009120 Loss_D_fake 0.013640
[709/5000][175/535][72980] Loss_D: -0.022100 Loss_G: 0.034142 Loss_D_real: -0.026362 Loss_D_fake -0.004262
[709/5000][180/535][72981] Loss_D: -0.023037 Loss_G: 0.018417 Loss_D_real: -0.024463 Loss_D_fake -0.001426
[709/5000][185/535][72982] Loss_D: -0.023898 Loss_G: -0.008100 Loss_D_real: -0.003679 Loss_D_fake 0.020218
[709/5000][190/535][72983] Loss_D: -0.023921 Loss_G: 0.017281 Loss_D_real: -0.027758 Loss_D_fake -0.003836
[709/5000][195/535][72984] Loss_D: -0.024215 Loss_G: 0.012205 Loss_D_real: -0.025486 Loss_D_fake -0.001272
[709/5000][200/535][72985] Loss_D: -0.023961 Loss_G: 0.024859 Loss_D_real: -0.031695 Loss_D_fake -0.007734
[709/5000][205/535][72986] Loss_D: -0.024333 Loss_G: 0.023302 Loss_D_real: -0.034157 Loss_D_fake -0.009824
[709/5000][210/535][72987] Loss_D: -0.024434 Loss_G: 0.006516 Loss_D_real: -0.012743 Loss_D_fake 0.011690
[709/5000][215/535][72988] Loss_D: -0.024165 Loss_G: 0.014868 Loss_D_real: -0.015833 Loss_D_fake 0.008331
[709/5000][220/535][72989] Loss_D: -0.024871 Loss_G: 0.011016 Loss_D_real: -0.028383 Loss_D_fake -0.003512
[709/5000][225/535][72990] Loss_D: -0.024371 Loss_G: 0.015447 Loss_D_real: -0.027328 Loss_D_fake -0.002957
[709/5000][230/535][72991] Loss_D: -0.024773 Loss_G: 0.010744 Loss_D_real: -0.019556 Loss_D_fake 0.005217
[709/5000][235/535][72992] Loss_D: -0.024208 Loss_G: 0.021284 Loss_D_real: -0.027994 Loss_D_fake -0.003786
[709/5000][240/535][72993] Loss_D: -0.024705 Loss_G: 0.010673 Loss_D_real: -0.017387 Loss_D_fake 0.007318
[709/5000][245/535][72994] Loss_D: -0.025158 Loss_G: -0.012005 Loss_D_real: -0.000281 Loss_D_fake 0.024877
[709/5000][250/535][72995] Loss_D: -0.024671 Loss_G: 0.004023 Loss_D_real: -0.021826 Loss_D_fake 0.002845
[709/5000][255/535][72996] Loss_D: -0.023561 Loss_G: 0.022819 Loss_D_real: -0.030411 Loss_D_fake -0.006850
[709/5000][260/535][72997] Loss_D: -0.022143 Loss_G: 0.023892 Loss_D_real: -0.033713 Loss_D_fake -0.011570
[709/5000][265/535][72998] Loss_D: -0.025875 Loss_G: -0.015313 Loss_D_real: -0.014577 Loss_D_fake 0.011298
[709/5000][270/535][72999] Loss_D: -0.024109 Loss_G: 0.000840 Loss_D_real: -0.018489 Loss_D_fake 0.005620
[709/5000][275/535][73000] Loss_D: -0.024790 Loss_G: 0.014586 Loss_D_real: -0.026748 Loss_D_fake -0.001958
[709/5000][375/535][73001] Loss_D: -0.026673 Loss_G: 0.026431 Loss_D_real: -0.040090 Loss_D_fake -0.013417
[709/5000][380/535][73002] Loss_D: -0.023258 Loss_G: 0.007361 Loss_D_real: -0.019989 Loss_D_fake 0.003269
[709/5000][385/535][73003] Loss_D: -0.021659 Loss_G: -0.008839 Loss_D_real: -0.014514 Loss_D_fake 0.007145
[709/5000][390/535][73004] Loss_D: -0.022769 Loss_G: 0.003252 Loss_D_real: -0.014494 Loss_D_fake 0.008275
[709/5000][395/535][73005] Loss_D: -0.022630 Loss_G: 0.007530 Loss_D_real: -0.021910 Loss_D_fake 0.000720
[709/5000][400/535][73006] Loss_D: -0.021522 Loss_G: 0.017115 Loss_D_real: -0.027220 Loss_D_fake -0.005699
[709/5000][405/535][73007] Loss_D: -0.023420 Loss_G: -0.006013 Loss_D_real: -0.012881 Loss_D_fake 0.010538
[709/5000][410/535][73008] Loss_D: -0.023559 Loss_G: 0.016642 Loss_D_real: -0.022956 Loss_D_fake 0.000604
[709/5000][415/535][73009] Loss_D: -0.023266 Loss_G: 0.012981 Loss_D_real: -0.025977 Loss_D_fake -0.002711
[709/5000][420/535][73010] Loss_D: -0.024930 Loss_G: 0.004037 Loss_D_real: -0.019275 Loss_D_fake 0.005655
[709/5000][425/535][73011] Loss_D: -0.022851 Loss_G: 0.020779 Loss_D_real: -0.030748 Loss_D_fake -0.007897
[709/5000][430/535][73012] Loss_D: -0.023883 Loss_G: 0.000088 Loss_D_real: -0.008885 Loss_D_fake 0.014999
[709/5000][435/535][73013] Loss_D: -0.024505 Loss_G: 0.001148 Loss_D_real: -0.019203 Loss_D_fake 0.005302
[709/5000][440/535][73014] Loss_D: -0.023474 Loss_G: 0.014585 Loss_D_real: -0.025226 Loss_D_fake -0.001752
[709/5000][445/535][73015] Loss_D: -0.024495 Loss_G: -0.001272 Loss_D_real: -0.015253 Loss_D_fake 0.009241
[709/5000][450/535][73016] Loss_D: -0.022955 Loss_G: 0.019121 Loss_D_real: -0.013931 Loss_D_fake 0.009024
[709/5000][455/535][73017] Loss_D: -0.024122 Loss_G: -0.000732 Loss_D_real: -0.016028 Loss_D_fake 0.008093
[709/5000][460/535][73018] Loss_D: -0.024516 Loss_G: 0.008674 Loss_D_real: -0.017041 Loss_D_fake 0.007475
[709/5000][465/535][73019] Loss_D: -0.025531 Loss_G: 0.012296 Loss_D_real: -0.034553 Loss_D_fake -0.009023
[709/5000][470/535][73020] Loss_D: -0.023345 Loss_G: 0.028758 Loss_D_real: -0.026862 Loss_D_fake -0.003517
[709/5000][475/535][73021] Loss_D: -0.024568 Loss_G: -0.005976 Loss_D_real: -0.005496 Loss_D_fake 0.019072
[709/5000][480/535][73022] Loss_D: -0.023839 Loss_G: 0.024516 Loss_D_real: -0.027285 Loss_D_fake -0.003447
[709/5000][485/535][73023] Loss_D: -0.023120 Loss_G: -0.002215 Loss_D_real: -0.010907 Loss_D_fake 0.012213
[709/5000][490/535][73024] Loss_D: -0.023603 Loss_G: 0.016660 Loss_D_real: -0.027402 Loss_D_fake -0.003799
[709/5000][495/535][73025] Loss_D: -0.024277 Loss_G: -0.009829 Loss_D_real: -0.007374 Loss_D_fake 0.016903
[709/5000][500/535][73026] Loss_D: -0.022992 Loss_G: -0.013997 Loss_D_real: -0.004393 Loss_D_fake 0.018599
[709/5000][505/535][73027] Loss_D: -0.023940 Loss_G: 0.013977 Loss_D_real: -0.016895 Loss_D_fake 0.007045
[709/5000][510/535][73028] Loss_D: -0.024603 Loss_G: 0.012150 Loss_D_real: -0.018172 Loss_D_fake 0.006431
[709/5000][515/535][73029] Loss_D: -0.022577 Loss_G: 0.024775 Loss_D_real: -0.034353 Loss_D_fake -0.011776
[709/5000][520/535][73030] Loss_D: -0.024397 Loss_G: -0.001465 Loss_D_real: -0.002893 Loss_D_fake 0.021504
[709/5000][525/535][73031] Loss_D: -0.024050 Loss_G: 0.003628 Loss_D_real: -0.015511 Loss_D_fake 0.008539
[709/5000][530/535][73032] Loss_D: -0.024638 Loss_G: 0.014254 Loss_D_real: -0.024623 Loss_D_fake 0.000014
[709/5000][535/535][73033] Loss_D: -0.021878 Loss_G: 0.014618 Loss_D_real: -0.032129 Loss_D_fake -0.010251
[710/5000][5/535][73034] Loss_D: -0.025422 Loss_G: -0.008667 Loss_D_real: -0.007838 Loss_D_fake 0.017584
[710/5000][10/535][73035] Loss_D: -0.025059 Loss_G: 0.016679 Loss_D_real: -0.023475 Loss_D_fake 0.001585
[710/5000][15/535][73036] Loss_D: -0.024801 Loss_G: 0.010022 Loss_D_real: -0.015222 Loss_D_fake 0.009579
[710/5000][20/535][73037] Loss_D: -0.025481 Loss_G: 0.004644 Loss_D_real: -0.012070 Loss_D_fake 0.013410
[710/5000][25/535][73038] Loss_D: -0.024234 Loss_G: 0.001287 Loss_D_real: -0.003811 Loss_D_fake 0.020423
[710/5000][30/535][73039] Loss_D: -0.025122 Loss_G: 0.019637 Loss_D_real: -0.026037 Loss_D_fake -0.000914
[710/5000][35/535][73040] Loss_D: -0.023013 Loss_G: -0.002449 Loss_D_real: -0.003335 Loss_D_fake 0.019678
[710/5000][40/535][73041] Loss_D: -0.024508 Loss_G: 0.018164 Loss_D_real: -0.015771 Loss_D_fake 0.008736
[710/5000][45/535][73042] Loss_D: -0.027333 Loss_G: 0.006537 Loss_D_real: -0.015950 Loss_D_fake 0.011383
[710/5000][50/535][73043] Loss_D: -0.024240 Loss_G: 0.021163 Loss_D_real: -0.037721 Loss_D_fake -0.013481
[710/5000][55/535][73044] Loss_D: -0.025298 Loss_G: 0.019424 Loss_D_real: -0.015433 Loss_D_fake 0.009865
[710/5000][60/535][73045] Loss_D: -0.025223 Loss_G: 0.010490 Loss_D_real: -0.015191 Loss_D_fake 0.010032
[710/5000][65/535][73046] Loss_D: -0.023277 Loss_G: 0.018096 Loss_D_real: -0.028653 Loss_D_fake -0.005377
[710/5000][70/535][73047] Loss_D: -0.023741 Loss_G: 0.019920 Loss_D_real: -0.028367 Loss_D_fake -0.004626
[710/5000][75/535][73048] Loss_D: -0.025150 Loss_G: -0.001606 Loss_D_real: -0.016365 Loss_D_fake 0.008786
[710/5000][80/535][73049] Loss_D: -0.024118 Loss_G: -0.005180 Loss_D_real: -0.017723 Loss_D_fake 0.006395
[710/5000][85/535][73050] Loss_D: -0.024233 Loss_G: 0.006051 Loss_D_real: -0.014752 Loss_D_fake 0.009481
[710/5000][90/535][73051] Loss_D: -0.024044 Loss_G: -0.001503 Loss_D_real: -0.011430 Loss_D_fake 0.012614
[710/5000][95/535][73052] Loss_D: -0.023417 Loss_G: 0.020614 Loss_D_real: -0.030399 Loss_D_fake -0.006983
[710/5000][100/535][73053] Loss_D: -0.024459 Loss_G: 0.015743 Loss_D_real: -0.025982 Loss_D_fake -0.001523
[710/5000][105/535][73054] Loss_D: -0.023996 Loss_G: 0.023744 Loss_D_real: -0.018442 Loss_D_fake 0.005554
[710/5000][110/535][73055] Loss_D: -0.024554 Loss_G: 0.021556 Loss_D_real: -0.028974 Loss_D_fake -0.004420
[710/5000][115/535][73056] Loss_D: -0.024487 Loss_G: 0.011314 Loss_D_real: -0.015148 Loss_D_fake 0.009339
[710/5000][120/535][73057] Loss_D: -0.024144 Loss_G: 0.002838 Loss_D_real: -0.017205 Loss_D_fake 0.006939
[710/5000][125/535][73058] Loss_D: -0.023694 Loss_G: -0.003869 Loss_D_real: -0.005731 Loss_D_fake 0.017963
[710/5000][130/535][73059] Loss_D: -0.023128 Loss_G: 0.012683 Loss_D_real: -0.027642 Loss_D_fake -0.004513
[710/5000][135/535][73060] Loss_D: -0.024781 Loss_G: 0.006422 Loss_D_real: -0.018497 Loss_D_fake 0.006284
[710/5000][140/535][73061] Loss_D: -0.024835 Loss_G: 0.009996 Loss_D_real: -0.021137 Loss_D_fake 0.003699
[710/5000][145/535][73062] Loss_D: -0.025087 Loss_G: -0.004540 Loss_D_real: -0.004689 Loss_D_fake 0.020399
[710/5000][150/535][73063] Loss_D: -0.024598 Loss_G: 0.019137 Loss_D_real: -0.024512 Loss_D_fake 0.000086
[710/5000][155/535][73064] Loss_D: -0.025549 Loss_G: -0.001372 Loss_D_real: -0.009883 Loss_D_fake 0.015666
[710/5000][160/535][73065] Loss_D: -0.025118 Loss_G: 0.011053 Loss_D_real: -0.024555 Loss_D_fake 0.000563
[710/5000][165/535][73066] Loss_D: -0.024735 Loss_G: 0.009886 Loss_D_real: -0.023921 Loss_D_fake 0.000814
[710/5000][170/535][73067] Loss_D: -0.023782 Loss_G: 0.006569 Loss_D_real: -0.029117 Loss_D_fake -0.005335
[710/5000][175/535][73068] Loss_D: -0.024656 Loss_G: -0.006121 Loss_D_real: -0.007107 Loss_D_fake 0.017549
[710/5000][180/535][73069] Loss_D: -0.024021 Loss_G: 0.018451 Loss_D_real: -0.014974 Loss_D_fake 0.009047
[710/5000][185/535][73070] Loss_D: -0.024461 Loss_G: 0.021527 Loss_D_real: -0.032272 Loss_D_fake -0.007811
[710/5000][190/535][73071] Loss_D: -0.025215 Loss_G: 0.014831 Loss_D_real: -0.019723 Loss_D_fake 0.005492
[710/5000][195/535][73072] Loss_D: -0.025693 Loss_G: 0.009316 Loss_D_real: -0.008421 Loss_D_fake 0.017271
[710/5000][200/535][73073] Loss_D: -0.024563 Loss_G: 0.027000 Loss_D_real: -0.030684 Loss_D_fake -0.006121
[710/5000][205/535][73074] Loss_D: -0.025266 Loss_G: 0.015996 Loss_D_real: -0.031727 Loss_D_fake -0.006461
[710/5000][210/535][73075] Loss_D: -0.022853 Loss_G: 0.020079 Loss_D_real: -0.031421 Loss_D_fake -0.008568
[710/5000][215/535][73076] Loss_D: -0.025846 Loss_G: 0.007325 Loss_D_real: -0.025862 Loss_D_fake -0.000015
[710/5000][220/535][73077] Loss_D: -0.024745 Loss_G: 0.001307 Loss_D_real: -0.018194 Loss_D_fake 0.006551
[710/5000][225/535][73078] Loss_D: -0.022436 Loss_G: 0.008383 Loss_D_real: -0.019123 Loss_D_fake 0.003314
[710/5000][230/535][73079] Loss_D: -0.024075 Loss_G: -0.011384 Loss_D_real: -0.011898 Loss_D_fake 0.012177
[710/5000][235/535][73080] Loss_D: -0.023004 Loss_G: 0.032742 Loss_D_real: -0.032252 Loss_D_fake -0.009248
[710/5000][240/535][73081] Loss_D: -0.023818 Loss_G: 0.009596 Loss_D_real: -0.023909 Loss_D_fake -0.000091
[710/5000][245/535][73082] Loss_D: -0.023404 Loss_G: 0.028097 Loss_D_real: -0.033636 Loss_D_fake -0.010232
[710/5000][250/535][73083] Loss_D: -0.024699 Loss_G: 0.018565 Loss_D_real: -0.024133 Loss_D_fake 0.000566
[710/5000][255/535][73084] Loss_D: -0.024369 Loss_G: -0.004237 Loss_D_real: -0.006888 Loss_D_fake 0.017481
[710/5000][260/535][73085] Loss_D: -0.022428 Loss_G: -0.008491 Loss_D_real: -0.004516 Loss_D_fake 0.017912
[710/5000][265/535][73086] Loss_D: -0.022888 Loss_G: 0.014170 Loss_D_real: -0.025756 Loss_D_fake -0.002869
[710/5000][270/535][73087] Loss_D: -0.025191 Loss_G: 0.009535 Loss_D_real: -0.020597 Loss_D_fake 0.004594
[710/5000][275/535][73088] Loss_D: -0.023787 Loss_G: 0.030057 Loss_D_real: -0.030793 Loss_D_fake -0.007007
[710/5000][280/535][73089] Loss_D: -0.024236 Loss_G: 0.002700 Loss_D_real: -0.011934 Loss_D_fake 0.012302
[710/5000][285/535][73090] Loss_D: -0.023406 Loss_G: 0.010606 Loss_D_real: -0.021060 Loss_D_fake 0.002346
[710/5000][290/535][73091] Loss_D: -0.024713 Loss_G: 0.003647 Loss_D_real: -0.022431 Loss_D_fake 0.002282
[710/5000][295/535][73092] Loss_D: -0.024458 Loss_G: -0.002618 Loss_D_real: -0.013796 Loss_D_fake 0.010661
[710/5000][300/535][73093] Loss_D: -0.024029 Loss_G: 0.014043 Loss_D_real: -0.031888 Loss_D_fake -0.007860
[710/5000][305/535][73094] Loss_D: -0.026088 Loss_G: 0.025017 Loss_D_real: -0.032381 Loss_D_fake -0.006293
[710/5000][310/535][73095] Loss_D: -0.023827 Loss_G: 0.005193 Loss_D_real: -0.015302 Loss_D_fake 0.008525
[710/5000][315/535][73096] Loss_D: -0.024760 Loss_G: 0.024796 Loss_D_real: -0.024227 Loss_D_fake 0.000533
[710/5000][320/535][73097] Loss_D: -0.023424 Loss_G: 0.019586 Loss_D_real: -0.018014 Loss_D_fake 0.005409
[710/5000][325/535][73098] Loss_D: -0.024518 Loss_G: 0.010438 Loss_D_real: -0.016193 Loss_D_fake 0.008325
[710/5000][330/535][73099] Loss_D: -0.024757 Loss_G: 0.005807 Loss_D_real: -0.027842 Loss_D_fake -0.003084
[710/5000][335/535][73100] Loss_D: -0.024439 Loss_G: 0.008558 Loss_D_real: -0.024705 Loss_D_fake -0.000265
[710/5000][340/535][73101] Loss_D: -0.024786 Loss_G: 0.004996 Loss_D_real: -0.007894 Loss_D_fake 0.016893
[710/5000][345/535][73102] Loss_D: -0.023563 Loss_G: -0.005337 Loss_D_real: -0.013130 Loss_D_fake 0.010433
[710/5000][350/535][73103] Loss_D: -0.023933 Loss_G: 0.015877 Loss_D_real: -0.030410 Loss_D_fake -0.006477
[710/5000][355/535][73104] Loss_D: -0.024023 Loss_G: 0.027003 Loss_D_real: -0.033257 Loss_D_fake -0.009234
[710/5000][360/535][73105] Loss_D: -0.024279 Loss_G: -0.007487 Loss_D_real: -0.006998 Loss_D_fake 0.017282
[710/5000][365/535][73106] Loss_D: -0.021267 Loss_G: 0.014096 Loss_D_real: -0.025654 Loss_D_fake -0.004387
[710/5000][370/535][73107] Loss_D: -0.024020 Loss_G: 0.009704 Loss_D_real: -0.026369 Loss_D_fake -0.002349
[710/5000][375/535][73108] Loss_D: -0.024292 Loss_G: 0.019946 Loss_D_real: -0.033502 Loss_D_fake -0.009210
[710/5000][380/535][73109] Loss_D: -0.022442 Loss_G: 0.013792 Loss_D_real: -0.027851 Loss_D_fake -0.005409
[710/5000][385/535][73110] Loss_D: -0.022945 Loss_G: 0.011025 Loss_D_real: -0.022972 Loss_D_fake -0.000027
[710/5000][390/535][73111] Loss_D: -0.022792 Loss_G: 0.018011 Loss_D_real: -0.027338 Loss_D_fake -0.004546
[710/5000][395/535][73112] Loss_D: -0.024492 Loss_G: 0.008477 Loss_D_real: -0.015393 Loss_D_fake 0.009099
[710/5000][400/535][73113] Loss_D: -0.021788 Loss_G: 0.019091 Loss_D_real: -0.023661 Loss_D_fake -0.001873
[710/5000][405/535][73114] Loss_D: -0.023565 Loss_G: 0.014601 Loss_D_real: -0.015026 Loss_D_fake 0.008540
[710/5000][410/535][73115] Loss_D: -0.022818 Loss_G: 0.004256 Loss_D_real: -0.017992 Loss_D_fake 0.004826
[710/5000][415/535][73116] Loss_D: -0.023759 Loss_G: -0.000311 Loss_D_real: 0.000531 Loss_D_fake 0.024289
[710/5000][420/535][73117] Loss_D: -0.022669 Loss_G: 0.019727 Loss_D_real: -0.033979 Loss_D_fake -0.011309
[710/5000][425/535][73118] Loss_D: -0.024030 Loss_G: 0.007731 Loss_D_real: -0.020832 Loss_D_fake 0.003198
[710/5000][430/535][73119] Loss_D: -0.024705 Loss_G: 0.013076 Loss_D_real: -0.027285 Loss_D_fake -0.002580
[710/5000][435/535][73120] Loss_D: -0.024978 Loss_G: 0.019813 Loss_D_real: -0.027397 Loss_D_fake -0.002419
[710/5000][440/535][73121] Loss_D: -0.023398 Loss_G: 0.035525 Loss_D_real: -0.034180 Loss_D_fake -0.010781
[710/5000][445/535][73122] Loss_D: -0.024441 Loss_G: 0.006179 Loss_D_real: -0.013627 Loss_D_fake 0.010814
[710/5000][450/535][73123] Loss_D: -0.024374 Loss_G: 0.012052 Loss_D_real: -0.025471 Loss_D_fake -0.001097
[710/5000][455/535][73124] Loss_D: -0.024314 Loss_G: -0.006281 Loss_D_real: -0.015115 Loss_D_fake 0.009198
[710/5000][460/535][73125] Loss_D: -0.024548 Loss_G: 0.020706 Loss_D_real: -0.026100 Loss_D_fake -0.001552
[710/5000][465/535][73126] Loss_D: -0.024379 Loss_G: 0.015008 Loss_D_real: -0.019152 Loss_D_fake 0.005227
[710/5000][470/535][73127] Loss_D: -0.025022 Loss_G: -0.004513 Loss_D_real: -0.008251 Loss_D_fake 0.016771
[710/5000][475/535][73128] Loss_D: -0.024946 Loss_G: 0.003282 Loss_D_real: -0.026794 Loss_D_fake -0.001848
[710/5000][480/535][73129] Loss_D: -0.024031 Loss_G: 0.021171 Loss_D_real: -0.028582 Loss_D_fake -0.004551
[710/5000][485/535][73130] Loss_D: -0.024474 Loss_G: -0.000527 Loss_D_real: -0.010752 Loss_D_fake 0.013722
[710/5000][490/535][73131] Loss_D: -0.024998 Loss_G: 0.007342 Loss_D_real: -0.021858 Loss_D_fake 0.003140
[710/5000][495/535][73132] Loss_D: -0.024402 Loss_G: 0.009369 Loss_D_real: -0.010585 Loss_D_fake 0.013816
[710/5000][500/535][73133] Loss_D: -0.023407 Loss_G: -0.019924 Loss_D_real: 0.004532 Loss_D_fake 0.027939
[710/5000][505/535][73134] Loss_D: -0.022854 Loss_G: 0.008335 Loss_D_real: -0.013402 Loss_D_fake 0.009452
[710/5000][510/535][73135] Loss_D: -0.024221 Loss_G: 0.010897 Loss_D_real: -0.008923 Loss_D_fake 0.015299
[710/5000][515/535][73136] Loss_D: -0.021385 Loss_G: -0.010831 Loss_D_real: 0.013062 Loss_D_fake 0.034447
[710/5000][520/535][73137] Loss_D: -0.023159 Loss_G: 0.003933 Loss_D_real: -0.021749 Loss_D_fake 0.001409
[710/5000][525/535][73138] Loss_D: -0.023921 Loss_G: 0.002700 Loss_D_real: -0.008454 Loss_D_fake 0.015467
[710/5000][530/535][73139] Loss_D: -0.024295 Loss_G: 0.014532 Loss_D_real: -0.022395 Loss_D_fake 0.001900
[710/5000][535/535][73140] Loss_D: -0.017559 Loss_G: -0.032411 Loss_D_real: -0.006807 Loss_D_fake 0.010752
[711/5000][5/535][73141] Loss_D: -0.024513 Loss_G: 0.000822 Loss_D_real: -0.012612 Loss_D_fake 0.011900
[711/5000][10/535][73142] Loss_D: -0.023445 Loss_G: 0.008428 Loss_D_real: -0.014198 Loss_D_fake 0.009246
[711/5000][15/535][73143] Loss_D: -0.024300 Loss_G: 0.020401 Loss_D_real: -0.019884 Loss_D_fake 0.004415
[711/5000][20/535][73144] Loss_D: -0.024012 Loss_G: 0.004163 Loss_D_real: -0.017524 Loss_D_fake 0.006488
[711/5000][25/535][73145] Loss_D: -0.022605 Loss_G: -0.005831 Loss_D_real: -0.003544 Loss_D_fake 0.019061
[711/5000][30/535][73146] Loss_D: -0.023956 Loss_G: 0.012228 Loss_D_real: -0.022577 Loss_D_fake 0.001379
[711/5000][35/535][73147] Loss_D: -0.024076 Loss_G: 0.034152 Loss_D_real: -0.026895 Loss_D_fake -0.002819
[711/5000][40/535][73148] Loss_D: -0.023859 Loss_G: 0.017011 Loss_D_real: -0.018916 Loss_D_fake 0.004944
[711/5000][45/535][73149] Loss_D: -0.024578 Loss_G: 0.007686 Loss_D_real: -0.012942 Loss_D_fake 0.011635
[711/5000][50/535][73150] Loss_D: -0.023855 Loss_G: 0.008012 Loss_D_real: -0.022990 Loss_D_fake 0.000865
[711/5000][55/535][73151] Loss_D: -0.025509 Loss_G: 0.011664 Loss_D_real: -0.006173 Loss_D_fake 0.019336
[711/5000][60/535][73152] Loss_D: -0.024419 Loss_G: 0.006323 Loss_D_real: -0.016383 Loss_D_fake 0.008036
[711/5000][65/535][73153] Loss_D: -0.024762 Loss_G: 0.008458 Loss_D_real: -0.022969 Loss_D_fake 0.001793
[711/5000][70/535][73154] Loss_D: -0.022138 Loss_G: 0.001447 Loss_D_real: -0.003301 Loss_D_fake 0.018837
[711/5000][75/535][73155] Loss_D: -0.024551 Loss_G: 0.006020 Loss_D_real: -0.031924 Loss_D_fake -0.007373
[711/5000][80/535][73156] Loss_D: -0.024052 Loss_G: 0.009134 Loss_D_real: -0.011910 Loss_D_fake 0.012142
[711/5000][85/535][73157] Loss_D: -0.022802 Loss_G: 0.025465 Loss_D_real: -0.030087 Loss_D_fake -0.007284
[711/5000][90/535][73158] Loss_D: -0.024381 Loss_G: 0.003621 Loss_D_real: -0.000744 Loss_D_fake 0.023637
[711/5000][95/535][73159] Loss_D: -0.022982 Loss_G: -0.006016 Loss_D_real: -0.010312 Loss_D_fake 0.012670
[711/5000][100/535][73160] Loss_D: -0.024044 Loss_G: 0.008177 Loss_D_real: -0.022870 Loss_D_fake 0.001174
[711/5000][105/535][73161] Loss_D: -0.025205 Loss_G: 0.000819 Loss_D_real: -0.021899 Loss_D_fake 0.003306
[711/5000][110/535][73162] Loss_D: -0.025525 Loss_G: 0.024309 Loss_D_real: -0.029440 Loss_D_fake -0.003915
[711/5000][115/535][73163] Loss_D: -0.024891 Loss_G: 0.007633 Loss_D_real: -0.021915 Loss_D_fake 0.002976
[711/5000][120/535][73164] Loss_D: -0.023656 Loss_G: 0.020617 Loss_D_real: -0.020103 Loss_D_fake 0.003553
[711/5000][125/535][73165] Loss_D: -0.024710 Loss_G: 0.015378 Loss_D_real: -0.028536 Loss_D_fake -0.003826
[711/5000][130/535][73166] Loss_D: -0.024601 Loss_G: 0.026831 Loss_D_real: -0.032936 Loss_D_fake -0.008334
[711/5000][135/535][73167] Loss_D: -0.024597 Loss_G: 0.011293 Loss_D_real: -0.015555 Loss_D_fake 0.009042
[711/5000][140/535][73168] Loss_D: -0.023869 Loss_G: 0.010096 Loss_D_real: -0.017150 Loss_D_fake 0.006720
[711/5000][145/535][73169] Loss_D: -0.024373 Loss_G: 0.000418 Loss_D_real: -0.018834 Loss_D_fake 0.005539
[711/5000][150/535][73170] Loss_D: -0.023853 Loss_G: -0.006889 Loss_D_real: -0.012673 Loss_D_fake 0.011181
[711/5000][155/535][73171] Loss_D: -0.024066 Loss_G: 0.007999 Loss_D_real: -0.018025 Loss_D_fake 0.006041
[711/5000][160/535][73172] Loss_D: -0.024077 Loss_G: 0.040038 Loss_D_real: -0.034256 Loss_D_fake -0.010180
[711/5000][165/535][73173] Loss_D: -0.024164 Loss_G: -0.005552 Loss_D_real: -0.004363 Loss_D_fake 0.019801
[711/5000][170/535][73174] Loss_D: -0.022505 Loss_G: -0.008919 Loss_D_real: -0.001660 Loss_D_fake 0.020845
[711/5000][175/535][73175] Loss_D: -0.024358 Loss_G: 0.013097 Loss_D_real: -0.023779 Loss_D_fake 0.000579
[711/5000][180/535][73176] Loss_D: -0.024629 Loss_G: 0.024970 Loss_D_real: -0.029432 Loss_D_fake -0.004802
[711/5000][185/535][73177] Loss_D: -0.024181 Loss_G: -0.004341 Loss_D_real: -0.008935 Loss_D_fake 0.015246
[711/5000][190/535][73178] Loss_D: -0.023936 Loss_G: 0.011972 Loss_D_real: -0.024868 Loss_D_fake -0.000932
[711/5000][195/535][73179] Loss_D: -0.023651 Loss_G: 0.017612 Loss_D_real: -0.021189 Loss_D_fake 0.002462
[711/5000][200/535][73180] Loss_D: -0.026213 Loss_G: -0.011387 Loss_D_real: -0.011781 Loss_D_fake 0.014432
[711/5000][205/535][73181] Loss_D: -0.024793 Loss_G: 0.022656 Loss_D_real: -0.031766 Loss_D_fake -0.006973
[711/5000][210/535][73182] Loss_D: -0.024588 Loss_G: 0.019302 Loss_D_real: -0.026535 Loss_D_fake -0.001947
[711/5000][215/535][73183] Loss_D: -0.024046 Loss_G: -0.003117 Loss_D_real: -0.006788 Loss_D_fake 0.017259
[711/5000][220/535][73184] Loss_D: -0.024771 Loss_G: -0.001862 Loss_D_real: 0.004525 Loss_D_fake 0.029297
[711/5000][225/535][73185] Loss_D: -0.026238 Loss_G: 0.014395 Loss_D_real: -0.018933 Loss_D_fake 0.007305
[711/5000][230/535][73186] Loss_D: -0.025066 Loss_G: -0.008727 Loss_D_real: -0.016978 Loss_D_fake 0.008088
[711/5000][235/535][73187] Loss_D: -0.024787 Loss_G: 0.028076 Loss_D_real: -0.022502 Loss_D_fake 0.002284
[711/5000][240/535][73188] Loss_D: -0.024996 Loss_G: 0.005235 Loss_D_real: -0.011671 Loss_D_fake 0.013325
[711/5000][245/535][73189] Loss_D: -0.025358 Loss_G: 0.024345 Loss_D_real: -0.022772 Loss_D_fake 0.002587
[711/5000][250/535][73190] Loss_D: -0.023753 Loss_G: 0.019419 Loss_D_real: -0.033543 Loss_D_fake -0.009790
[711/5000][255/535][73191] Loss_D: -0.023657 Loss_G: -0.010772 Loss_D_real: -0.004047 Loss_D_fake 0.019610
[711/5000][260/535][73192] Loss_D: -0.024299 Loss_G: 0.016707 Loss_D_real: -0.022851 Loss_D_fake 0.001449
[711/5000][265/535][73193] Loss_D: -0.024194 Loss_G: 0.006832 Loss_D_real: -0.032306 Loss_D_fake -0.008112
[711/5000][270/535][73194] Loss_D: -0.024330 Loss_G: 0.007194 Loss_D_real: -0.015061 Loss_D_fake 0.009268
[711/5000][275/535][73195] Loss_D: -0.022143 Loss_G: -0.009818 Loss_D_real: -0.001067 Loss_D_fake 0.021076
[711/5000][280/535][73196] Loss_D: -0.023026 Loss_G: 0.018161 Loss_D_real: -0.033230 Loss_D_fake -0.010203
[711/5000][285/535][73197] Loss_D: -0.025446 Loss_G: 0.012234 Loss_D_real: -0.027898 Loss_D_fake -0.002452
[711/5000][290/535][73198] Loss_D: -0.024713 Loss_G: 0.008625 Loss_D_real: -0.011068 Loss_D_fake 0.013645
[711/5000][295/535][73199] Loss_D: -0.025403 Loss_G: 0.016908 Loss_D_real: -0.024399 Loss_D_fake 0.001004
[711/5000][300/535][73200] Loss_D: -0.023833 Loss_G: 0.021675 Loss_D_real: -0.028315 Loss_D_fake -0.004482
[711/5000][305/535][73201] Loss_D: -0.022704 Loss_G: -0.002658 Loss_D_real: -0.017635 Loss_D_fake 0.005069
[711/5000][310/535][73202] Loss_D: -0.024418 Loss_G: 0.010401 Loss_D_real: -0.010116 Loss_D_fake 0.014302
[711/5000][315/535][73203] Loss_D: -0.024048 Loss_G: 0.003306 Loss_D_real: -0.010419 Loss_D_fake 0.013629
[711/5000][320/535][73204] Loss_D: -0.023142 Loss_G: 0.016013 Loss_D_real: -0.024198 Loss_D_fake -0.001056
[711/5000][325/535][73205] Loss_D: -0.023215 Loss_G: 0.001038 Loss_D_real: -0.017060 Loss_D_fake 0.006155
[711/5000][330/535][73206] Loss_D: -0.024298 Loss_G: 0.008305 Loss_D_real: -0.020254 Loss_D_fake 0.004043
[711/5000][335/535][73207] Loss_D: -0.024455 Loss_G: 0.013398 Loss_D_real: -0.021180 Loss_D_fake 0.003275
[711/5000][340/535][73208] Loss_D: -0.025263 Loss_G: 0.004256 Loss_D_real: -0.018777 Loss_D_fake 0.006487
[711/5000][345/535][73209] Loss_D: -0.024884 Loss_G: 0.020016 Loss_D_real: -0.018722 Loss_D_fake 0.006162
[711/5000][350/535][73210] Loss_D: -0.023506 Loss_G: -0.015072 Loss_D_real: -0.007845 Loss_D_fake 0.015661
[711/5000][355/535][73211] Loss_D: -0.024191 Loss_G: 0.026332 Loss_D_real: -0.037684 Loss_D_fake -0.013493
[711/5000][360/535][73212] Loss_D: -0.025102 Loss_G: 0.004548 Loss_D_real: -0.013961 Loss_D_fake 0.011141
[711/5000][365/535][73213] Loss_D: -0.024535 Loss_G: 0.004743 Loss_D_real: -0.012835 Loss_D_fake 0.011700
[711/5000][370/535][73214] Loss_D: -0.025371 Loss_G: 0.004711 Loss_D_real: -0.012659 Loss_D_fake 0.012712
[711/5000][375/535][73215] Loss_D: -0.022038 Loss_G: 0.033326 Loss_D_real: -0.038488 Loss_D_fake -0.016450
[711/5000][380/535][73216] Loss_D: -0.024193 Loss_G: -0.005313 Loss_D_real: -0.003078 Loss_D_fake 0.021115
[711/5000][385/535][73217] Loss_D: -0.021951 Loss_G: 0.032327 Loss_D_real: -0.035198 Loss_D_fake -0.013248
[711/5000][390/535][73218] Loss_D: -0.024749 Loss_G: 0.006601 Loss_D_real: -0.013509 Loss_D_fake 0.011241
[711/5000][395/535][73219] Loss_D: -0.023979 Loss_G: 0.004179 Loss_D_real: -0.009280 Loss_D_fake 0.014699
[711/5000][400/535][73220] Loss_D: -0.021957 Loss_G: 0.017970 Loss_D_real: -0.022657 Loss_D_fake -0.000701
[711/5000][405/535][73221] Loss_D: -0.024653 Loss_G: 0.005204 Loss_D_real: -0.016862 Loss_D_fake 0.007791
[711/5000][410/535][73222] Loss_D: -0.023169 Loss_G: 0.016172 Loss_D_real: -0.018589 Loss_D_fake 0.004580
[711/5000][415/535][73223] Loss_D: -0.025703 Loss_G: 0.010724 Loss_D_real: -0.017654 Loss_D_fake 0.008049
[711/5000][420/535][73224] Loss_D: -0.024634 Loss_G: 0.010641 Loss_D_real: -0.021466 Loss_D_fake 0.003167
[711/5000][425/535][73225] Loss_D: -0.024888 Loss_G: -0.005777 Loss_D_real: -0.010499 Loss_D_fake 0.014389
[711/5000][430/535][73226] Loss_D: -0.024761 Loss_G: 0.005776 Loss_D_real: -0.006233 Loss_D_fake 0.018528
[711/5000][435/535][73227] Loss_D: -0.024992 Loss_G: 0.006636 Loss_D_real: -0.018317 Loss_D_fake 0.006675
[711/5000][440/535][73228] Loss_D: -0.025467 Loss_G: 0.027072 Loss_D_real: -0.020296 Loss_D_fake 0.005171
[711/5000][445/535][73229] Loss_D: -0.024136 Loss_G: -0.001278 Loss_D_real: -0.018029 Loss_D_fake 0.006107
[711/5000][450/535][73230] Loss_D: -0.023877 Loss_G: 0.018133 Loss_D_real: -0.021903 Loss_D_fake 0.001975
[711/5000][455/535][73231] Loss_D: -0.024662 Loss_G: 0.022454 Loss_D_real: -0.024060 Loss_D_fake 0.000602
[711/5000][460/535][73232] Loss_D: -0.024078 Loss_G: 0.016295 Loss_D_real: -0.031229 Loss_D_fake -0.007151
[711/5000][465/535][73233] Loss_D: -0.025365 Loss_G: 0.012439 Loss_D_real: -0.023098 Loss_D_fake 0.002267
[711/5000][470/535][73234] Loss_D: -0.023213 Loss_G: 0.018947 Loss_D_real: -0.027760 Loss_D_fake -0.004547
[711/5000][475/535][73235] Loss_D: -0.024446 Loss_G: 0.008484 Loss_D_real: -0.018871 Loss_D_fake 0.005575
[711/5000][480/535][73236] Loss_D: -0.023133 Loss_G: 0.010722 Loss_D_real: -0.027797 Loss_D_fake -0.004664
[711/5000][485/535][73237] Loss_D: -0.024937 Loss_G: 0.011508 Loss_D_real: -0.019118 Loss_D_fake 0.005819
[711/5000][490/535][73238] Loss_D: -0.024512 Loss_G: 0.009970 Loss_D_real: -0.017394 Loss_D_fake 0.007118
[711/5000][495/535][73239] Loss_D: -0.023296 Loss_G: 0.017660 Loss_D_real: -0.020354 Loss_D_fake 0.002942
[711/5000][500/535][73240] Loss_D: -0.025087 Loss_G: 0.001460 Loss_D_real: -0.007344 Loss_D_fake 0.017742
[711/5000][505/535][73241] Loss_D: -0.022841 Loss_G: 0.035787 Loss_D_real: -0.028492 Loss_D_fake -0.005652
[711/5000][510/535][73242] Loss_D: -0.024140 Loss_G: -0.006914 Loss_D_real: -0.013748 Loss_D_fake 0.010392
[711/5000][515/535][73243] Loss_D: -0.024036 Loss_G: 0.011091 Loss_D_real: -0.016575 Loss_D_fake 0.007461
[711/5000][520/535][73244] Loss_D: -0.023941 Loss_G: 0.001770 Loss_D_real: -0.025086 Loss_D_fake -0.001145
[711/5000][525/535][73245] Loss_D: -0.023498 Loss_G: 0.019861 Loss_D_real: -0.021157 Loss_D_fake 0.002341
[711/5000][530/535][73246] Loss_D: -0.025249 Loss_G: 0.019652 Loss_D_real: -0.022920 Loss_D_fake 0.002329
[711/5000][535/535][73247] Loss_D: -0.024298 Loss_G: 0.037302 Loss_D_real: -0.023186 Loss_D_fake 0.001112
[712/5000][5/535][73248] Loss_D: -0.025090 Loss_G: 0.004862 Loss_D_real: -0.017640 Loss_D_fake 0.007450
[712/5000][10/535][73249] Loss_D: -0.024327 Loss_G: 0.014174 Loss_D_real: -0.023885 Loss_D_fake 0.000442
[712/5000][15/535][73250] Loss_D: -0.023658 Loss_G: 0.018761 Loss_D_real: -0.025272 Loss_D_fake -0.001614
[712/5000][20/535][73251] Loss_D: -0.025012 Loss_G: 0.007815 Loss_D_real: -0.019701 Loss_D_fake 0.005311
[712/5000][25/535][73252] Loss_D: -0.024429 Loss_G: 0.006988 Loss_D_real: -0.024683 Loss_D_fake -0.000253
[712/5000][30/535][73253] Loss_D: -0.024139 Loss_G: 0.003470 Loss_D_real: -0.012394 Loss_D_fake 0.011745
[712/5000][35/535][73254] Loss_D: -0.023716 Loss_G: 0.003326 Loss_D_real: -0.012644 Loss_D_fake 0.011072
[712/5000][40/535][73255] Loss_D: -0.022966 Loss_G: -0.017711 Loss_D_real: -0.006025 Loss_D_fake 0.016940
[712/5000][45/535][73256] Loss_D: -0.021879 Loss_G: 0.023384 Loss_D_real: -0.029119 Loss_D_fake -0.007240
[712/5000][50/535][73257] Loss_D: -0.023859 Loss_G: 0.036149 Loss_D_real: -0.032461 Loss_D_fake -0.008602
[712/5000][55/535][73258] Loss_D: -0.025289 Loss_G: -0.001612 Loss_D_real: -0.010741 Loss_D_fake 0.014548
[712/5000][60/535][73259] Loss_D: -0.024145 Loss_G: 0.019642 Loss_D_real: -0.026545 Loss_D_fake -0.002400
[712/5000][65/535][73260] Loss_D: -0.023805 Loss_G: -0.006117 Loss_D_real: -0.012719 Loss_D_fake 0.011086
[712/5000][70/535][73261] Loss_D: -0.023312 Loss_G: 0.000014 Loss_D_real: -0.010904 Loss_D_fake 0.012408
[712/5000][75/535][73262] Loss_D: -0.024326 Loss_G: 0.012834 Loss_D_real: -0.023297 Loss_D_fake 0.001029
[712/5000][80/535][73263] Loss_D: -0.025041 Loss_G: 0.011395 Loss_D_real: -0.012142 Loss_D_fake 0.012899
[712/5000][85/535][73264] Loss_D: -0.024703 Loss_G: 0.017355 Loss_D_real: -0.017181 Loss_D_fake 0.007521
[712/5000][90/535][73265] Loss_D: -0.024859 Loss_G: 0.014319 Loss_D_real: -0.034520 Loss_D_fake -0.009661
[712/5000][95/535][73266] Loss_D: -0.024540 Loss_G: -0.009284 Loss_D_real: -0.007957 Loss_D_fake 0.016583
[712/5000][100/535][73267] Loss_D: -0.023082 Loss_G: 0.005441 Loss_D_real: -0.020264 Loss_D_fake 0.002819
[712/5000][105/535][73268] Loss_D: -0.025087 Loss_G: 0.012212 Loss_D_real: -0.024077 Loss_D_fake 0.001010
[712/5000][110/535][73269] Loss_D: -0.025035 Loss_G: 0.014609 Loss_D_real: -0.033531 Loss_D_fake -0.008497
[712/5000][115/535][73270] Loss_D: -0.023372 Loss_G: -0.004911 Loss_D_real: 0.001534 Loss_D_fake 0.024906
[712/5000][120/535][73271] Loss_D: -0.024037 Loss_G: -0.007491 Loss_D_real: -0.009288 Loss_D_fake 0.014749
[712/5000][125/535][73272] Loss_D: -0.025066 Loss_G: 0.009182 Loss_D_real: -0.021906 Loss_D_fake 0.003160
[712/5000][130/535][73273] Loss_D: -0.023059 Loss_G: 0.009378 Loss_D_real: -0.007363 Loss_D_fake 0.015695
[712/5000][135/535][73274] Loss_D: -0.024771 Loss_G: 0.018788 Loss_D_real: -0.032586 Loss_D_fake -0.007815
[712/5000][140/535][73275] Loss_D: -0.023001 Loss_G: 0.027335 Loss_D_real: -0.025779 Loss_D_fake -0.002777
[712/5000][145/535][73276] Loss_D: -0.024455 Loss_G: -0.008220 Loss_D_real: 0.000037 Loss_D_fake 0.024492
[712/5000][150/535][73277] Loss_D: -0.024073 Loss_G: 0.016902 Loss_D_real: -0.022257 Loss_D_fake 0.001816
[712/5000][155/535][73278] Loss_D: -0.025238 Loss_G: 0.005931 Loss_D_real: -0.009438 Loss_D_fake 0.015800
[712/5000][160/535][73279] Loss_D: -0.024852 Loss_G: 0.016521 Loss_D_real: -0.023603 Loss_D_fake 0.001250
[712/5000][165/535][73280] Loss_D: -0.025273 Loss_G: -0.009252 Loss_D_real: -0.012299 Loss_D_fake 0.012974
[712/5000][170/535][73281] Loss_D: -0.024431 Loss_G: 0.002220 Loss_D_real: -0.013612 Loss_D_fake 0.010819
[712/5000][175/535][73282] Loss_D: -0.023930 Loss_G: -0.002223 Loss_D_real: 0.009050 Loss_D_fake 0.032980
[712/5000][180/535][73283] Loss_D: -0.023615 Loss_G: -0.007553 Loss_D_real: -0.003923 Loss_D_fake 0.019692
[712/5000][185/535][73284] Loss_D: -0.025248 Loss_G: 0.009926 Loss_D_real: -0.021675 Loss_D_fake 0.003574
[712/5000][190/535][73285] Loss_D: -0.024233 Loss_G: 0.000814 Loss_D_real: -0.011929 Loss_D_fake 0.012304
[712/5000][195/535][73286] Loss_D: -0.024418 Loss_G: 0.006175 Loss_D_real: -0.024180 Loss_D_fake 0.000238
[712/5000][200/535][73287] Loss_D: -0.023408 Loss_G: 0.027161 Loss_D_real: -0.023979 Loss_D_fake -0.000572
[712/5000][205/535][73288] Loss_D: -0.024386 Loss_G: 0.012774 Loss_D_real: -0.026836 Loss_D_fake -0.002450
[712/5000][210/535][73289] Loss_D: -0.024239 Loss_G: 0.005744 Loss_D_real: -0.023740 Loss_D_fake 0.000499
[712/5000][215/535][73290] Loss_D: -0.024668 Loss_G: 0.004775 Loss_D_real: -0.014866 Loss_D_fake 0.009803
[712/5000][220/535][73291] Loss_D: -0.023697 Loss_G: 0.028435 Loss_D_real: -0.032512 Loss_D_fake -0.008815
[712/5000][225/535][73292] Loss_D: -0.022201 Loss_G: -0.006424 Loss_D_real: -0.005295 Loss_D_fake 0.016906
[712/5000][230/535][73293] Loss_D: -0.024369 Loss_G: -0.003836 Loss_D_real: -0.015456 Loss_D_fake 0.008913
[712/5000][235/535][73294] Loss_D: -0.023717 Loss_G: 0.006397 Loss_D_real: -0.006174 Loss_D_fake 0.017543
[712/5000][240/535][73295] Loss_D: -0.023396 Loss_G: 0.026905 Loss_D_real: -0.034188 Loss_D_fake -0.010792
[712/5000][245/535][73296] Loss_D: -0.023360 Loss_G: 0.013715 Loss_D_real: -0.022635 Loss_D_fake 0.000725
[712/5000][250/535][73297] Loss_D: -0.023874 Loss_G: 0.014454 Loss_D_real: -0.019670 Loss_D_fake 0.004204
[712/5000][255/535][73298] Loss_D: -0.024218 Loss_G: 0.019905 Loss_D_real: -0.032450 Loss_D_fake -0.008233
[712/5000][260/535][73299] Loss_D: -0.023911 Loss_G: 0.009874 Loss_D_real: -0.015327 Loss_D_fake 0.008584
[712/5000][265/535][73300] Loss_D: -0.022929 Loss_G: -0.013338 Loss_D_real: -0.003133 Loss_D_fake 0.019796
[712/5000][270/535][73301] Loss_D: -0.023514 Loss_G: 0.011374 Loss_D_real: -0.027944 Loss_D_fake -0.004430
[712/5000][275/535][73302] Loss_D: -0.024820 Loss_G: 0.002180 Loss_D_real: -0.020134 Loss_D_fake 0.004686
[712/5000][280/535][73303] Loss_D: -0.021910 Loss_G: 0.024384 Loss_D_real: -0.034044 Loss_D_fake -0.012134
[712/5000][285/535][73304] Loss_D: -0.025099 Loss_G: 0.004552 Loss_D_real: -0.020927 Loss_D_fake 0.004172
[712/5000][290/535][73305] Loss_D: -0.025374 Loss_G: 0.014791 Loss_D_real: -0.021363 Loss_D_fake 0.004011
[712/5000][295/535][73306] Loss_D: -0.022999 Loss_G: 0.027106 Loss_D_real: -0.029153 Loss_D_fake -0.006154
[712/5000][300/535][73307] Loss_D: -0.024099 Loss_G: 0.002957 Loss_D_real: -0.010597 Loss_D_fake 0.013502
[712/5000][305/535][73308] Loss_D: -0.022494 Loss_G: -0.001162 Loss_D_real: -0.023019 Loss_D_fake -0.000525
[712/5000][310/535][73309] Loss_D: -0.023681 Loss_G: -0.000443 Loss_D_real: -0.016646 Loss_D_fake 0.007035
[712/5000][315/535][73310] Loss_D: -0.023777 Loss_G: -0.001239 Loss_D_real: -0.018655 Loss_D_fake 0.005122
[712/5000][320/535][73311] Loss_D: -0.023599 Loss_G: 0.028054 Loss_D_real: -0.037817 Loss_D_fake -0.014218
[712/5000][325/535][73312] Loss_D: -0.024132 Loss_G: 0.022987 Loss_D_real: -0.030478 Loss_D_fake -0.006346
[712/5000][330/535][73313] Loss_D: -0.025379 Loss_G: 0.011491 Loss_D_real: -0.027390 Loss_D_fake -0.002011
[712/5000][335/535][73314] Loss_D: -0.024295 Loss_G: -0.013348 Loss_D_real: -0.005122 Loss_D_fake 0.019173
[712/5000][340/535][73315] Loss_D: -0.024171 Loss_G: 0.016640 Loss_D_real: -0.022632 Loss_D_fake 0.001539
[712/5000][345/535][73316] Loss_D: -0.023695 Loss_G: -0.006095 Loss_D_real: -0.013111 Loss_D_fake 0.010585
[712/5000][350/535][73317] Loss_D: -0.024575 Loss_G: 0.020336 Loss_D_real: -0.027741 Loss_D_fake -0.003167
[712/5000][355/535][73318] Loss_D: -0.023992 Loss_G: -0.006688 Loss_D_real: -0.022677 Loss_D_fake 0.001315
[712/5000][360/535][73319] Loss_D: -0.026016 Loss_G: -0.005303 Loss_D_real: -0.009648 Loss_D_fake 0.016368
[712/5000][365/535][73320] Loss_D: -0.024935 Loss_G: 0.003282 Loss_D_real: -0.016345 Loss_D_fake 0.008590
[712/5000][370/535][73321] Loss_D: -0.025239 Loss_G: -0.000924 Loss_D_real: -0.011984 Loss_D_fake 0.013255
[712/5000][375/535][73322] Loss_D: -0.024705 Loss_G: 0.013251 Loss_D_real: -0.015616 Loss_D_fake 0.009089
[712/5000][380/535][73323] Loss_D: -0.024560 Loss_G: 0.006459 Loss_D_real: -0.011120 Loss_D_fake 0.013440
[712/5000][385/535][73324] Loss_D: -0.024216 Loss_G: -0.002393 Loss_D_real: -0.018303 Loss_D_fake 0.005913
[712/5000][390/535][73325] Loss_D: -0.025186 Loss_G: 0.010444 Loss_D_real: -0.011120 Loss_D_fake 0.014066
[712/5000][395/535][73326] Loss_D: -0.024564 Loss_G: 0.012197 Loss_D_real: -0.026555 Loss_D_fake -0.001991
[712/5000][400/535][73327] Loss_D: -0.023711 Loss_G: 0.007610 Loss_D_real: -0.007387 Loss_D_fake 0.016324
[712/5000][405/535][73328] Loss_D: -0.024859 Loss_G: 0.022557 Loss_D_real: -0.025060 Loss_D_fake -0.000201
[712/5000][410/535][73329] Loss_D: -0.023609 Loss_G: 0.009799 Loss_D_real: -0.025112 Loss_D_fake -0.001503
[712/5000][415/535][73330] Loss_D: -0.024780 Loss_G: -0.008479 Loss_D_real: -0.011550 Loss_D_fake 0.013230
[712/5000][420/535][73331] Loss_D: -0.023678 Loss_G: 0.019369 Loss_D_real: -0.034086 Loss_D_fake -0.010408
[712/5000][425/535][73332] Loss_D: -0.024500 Loss_G: 0.000455 Loss_D_real: -0.018918 Loss_D_fake 0.005582
[712/5000][430/535][73333] Loss_D: -0.022700 Loss_G: 0.000283 Loss_D_real: -0.003019 Loss_D_fake 0.019681
[712/5000][435/535][73334] Loss_D: -0.024531 Loss_G: -0.004551 Loss_D_real: -0.012480 Loss_D_fake 0.012050
[712/5000][440/535][73335] Loss_D: -0.022561 Loss_G: 0.029894 Loss_D_real: -0.028903 Loss_D_fake -0.006342
[712/5000][445/535][73336] Loss_D: -0.024412 Loss_G: 0.000765 Loss_D_real: -0.014240 Loss_D_fake 0.010172
[712/5000][450/535][73337] Loss_D: -0.023706 Loss_G: 0.024041 Loss_D_real: -0.027683 Loss_D_fake -0.003977
[712/5000][455/535][73338] Loss_D: -0.023945 Loss_G: 0.005495 Loss_D_real: -0.021804 Loss_D_fake 0.002142
[712/5000][460/535][73339] Loss_D: -0.023785 Loss_G: 0.007051 Loss_D_real: -0.008907 Loss_D_fake 0.014878
[712/5000][465/535][73340] Loss_D: -0.023322 Loss_G: 0.017168 Loss_D_real: -0.018509 Loss_D_fake 0.004812
[712/5000][470/535][73341] Loss_D: -0.024443 Loss_G: 0.014568 Loss_D_real: -0.027141 Loss_D_fake -0.002698
[712/5000][475/535][73342] Loss_D: -0.024387 Loss_G: 0.000164 Loss_D_real: -0.001153 Loss_D_fake 0.023233
[712/5000][480/535][73343] Loss_D: -0.023835 Loss_G: 0.004739 Loss_D_real: -0.028369 Loss_D_fake -0.004534
[712/5000][485/535][73344] Loss_D: -0.023624 Loss_G: 0.025465 Loss_D_real: -0.022608 Loss_D_fake 0.001016
[712/5000][490/535][73345] Loss_D: -0.022839 Loss_G: 0.019545 Loss_D_real: -0.022145 Loss_D_fake 0.000694
[712/5000][495/535][73346] Loss_D: -0.023242 Loss_G: 0.005475 Loss_D_real: -0.007823 Loss_D_fake 0.015419
[712/5000][500/535][73347] Loss_D: -0.023258 Loss_G: 0.018065 Loss_D_real: -0.024149 Loss_D_fake -0.000892
[712/5000][505/535][73348] Loss_D: -0.024041 Loss_G: -0.000078 Loss_D_real: -0.016752 Loss_D_fake 0.007289
[712/5000][510/535][73349] Loss_D: -0.024288 Loss_G: 0.011258 Loss_D_real: -0.016921 Loss_D_fake 0.007367
[712/5000][515/535][73350] Loss_D: -0.023133 Loss_G: 0.022487 Loss_D_real: -0.030968 Loss_D_fake -0.007835
[712/5000][520/535][73351] Loss_D: -0.023016 Loss_G: 0.000452 Loss_D_real: -0.008851 Loss_D_fake 0.014165
[712/5000][525/535][73352] Loss_D: -0.023988 Loss_G: 0.014674 Loss_D_real: -0.017804 Loss_D_fake 0.006184
[712/5000][530/535][73353] Loss_D: -0.023064 Loss_G: 0.019132 Loss_D_real: -0.029843 Loss_D_fake -0.006779
[712/5000][535/535][73354] Loss_D: -0.024354 Loss_G: 0.014693 Loss_D_real: -0.008565 Loss_D_fake 0.015789
[713/5000][5/535][73355] Loss_D: -0.023608 Loss_G: 0.011533 Loss_D_real: -0.031065 Loss_D_fake -0.007456
[713/5000][10/535][73356] Loss_D: -0.024079 Loss_G: -0.008901 Loss_D_real: -0.003015 Loss_D_fake 0.021063
[713/5000][15/535][73357] Loss_D: -0.025109 Loss_G: -0.003118 Loss_D_real: -0.008219 Loss_D_fake 0.016891
[713/5000][20/535][73358] Loss_D: -0.024621 Loss_G: 0.017651 Loss_D_real: -0.032706 Loss_D_fake -0.008084
[713/5000][25/535][73359] Loss_D: -0.025379 Loss_G: 0.000665 Loss_D_real: -0.003875 Loss_D_fake 0.021505
[713/5000][30/535][73360] Loss_D: -0.024455 Loss_G: 0.027896 Loss_D_real: -0.031244 Loss_D_fake -0.006789
[713/5000][35/535][73361] Loss_D: -0.023733 Loss_G: -0.011155 Loss_D_real: -0.005534 Loss_D_fake 0.018199
[713/5000][40/535][73362] Loss_D: -0.024001 Loss_G: 0.020935 Loss_D_real: -0.021176 Loss_D_fake 0.002825
[713/5000][45/535][73363] Loss_D: -0.024748 Loss_G: 0.020420 Loss_D_real: -0.023876 Loss_D_fake 0.000872
[713/5000][50/535][73364] Loss_D: -0.025456 Loss_G: 0.013172 Loss_D_real: -0.018541 Loss_D_fake 0.006915
[713/5000][55/535][73365] Loss_D: -0.026511 Loss_G: 0.022359 Loss_D_real: -0.023406 Loss_D_fake 0.003106
[713/5000][60/535][73366] Loss_D: -0.024844 Loss_G: 0.020764 Loss_D_real: -0.023061 Loss_D_fake 0.001782
[713/5000][65/535][73367] Loss_D: -0.023339 Loss_G: 0.012060 Loss_D_real: -0.021353 Loss_D_fake 0.001986
[713/5000][70/535][73368] Loss_D: -0.023371 Loss_G: -0.012833 Loss_D_real: -0.008970 Loss_D_fake 0.014401
[713/5000][75/535][73369] Loss_D: -0.024248 Loss_G: 0.001981 Loss_D_real: -0.010761 Loss_D_fake 0.013487
[713/5000][80/535][73370] Loss_D: -0.023439 Loss_G: 0.020118 Loss_D_real: -0.023185 Loss_D_fake 0.000254
[713/5000][85/535][73371] Loss_D: -0.024021 Loss_G: 0.025602 Loss_D_real: -0.026350 Loss_D_fake -0.002328
[713/5000][90/535][73372] Loss_D: -0.023782 Loss_G: -0.008171 Loss_D_real: -0.002947 Loss_D_fake 0.020836
[713/5000][95/535][73373] Loss_D: -0.025517 Loss_G: 0.010250 Loss_D_real: -0.017407 Loss_D_fake 0.008110
[713/5000][100/535][73374] Loss_D: -0.023477 Loss_G: 0.016019 Loss_D_real: -0.022989 Loss_D_fake 0.000488
[713/5000][105/535][73375] Loss_D: -0.022758 Loss_G: -0.005488 Loss_D_real: -0.001528 Loss_D_fake 0.021231
[713/5000][110/535][73376] Loss_D: -0.023312 Loss_G: 0.009304 Loss_D_real: -0.032294 Loss_D_fake -0.008982
[713/5000][115/535][73377] Loss_D: -0.024186 Loss_G: 0.012794 Loss_D_real: -0.028730 Loss_D_fake -0.004544
[713/5000][120/535][73378] Loss_D: -0.024480 Loss_G: 0.030292 Loss_D_real: -0.025442 Loss_D_fake -0.000963
[713/5000][125/535][73379] Loss_D: -0.024773 Loss_G: 0.017298 Loss_D_real: -0.030026 Loss_D_fake -0.005253
[713/5000][130/535][73380] Loss_D: -0.025164 Loss_G: 0.020313 Loss_D_real: -0.016794 Loss_D_fake 0.008370
[713/5000][135/535][73381] Loss_D: -0.023689 Loss_G: 0.009850 Loss_D_real: -0.018571 Loss_D_fake 0.005118
[713/5000][140/535][73382] Loss_D: -0.023316 Loss_G: 0.028508 Loss_D_real: -0.025689 Loss_D_fake -0.002373
[713/5000][145/535][73383] Loss_D: -0.025597 Loss_G: 0.014662 Loss_D_real: -0.015611 Loss_D_fake 0.009987
[713/5000][150/535][73384] Loss_D: -0.026549 Loss_G: 0.004048 Loss_D_real: -0.016319 Loss_D_fake 0.010230
[713/5000][155/535][73385] Loss_D: -0.026122 Loss_G: 0.005632 Loss_D_real: -0.020825 Loss_D_fake 0.005297
[713/5000][160/535][73386] Loss_D: -0.025074 Loss_G: -0.021298 Loss_D_real: -0.014198 Loss_D_fake 0.010876
[713/5000][165/535][73387] Loss_D: -0.023069 Loss_G: 0.019537 Loss_D_real: -0.019646 Loss_D_fake 0.003423
[713/5000][170/535][73388] Loss_D: -0.023952 Loss_G: 0.020389 Loss_D_real: -0.025461 Loss_D_fake -0.001509
[713/5000][175/535][73389] Loss_D: -0.023345 Loss_G: 0.018293 Loss_D_real: -0.021635 Loss_D_fake 0.001710
[713/5000][180/535][73390] Loss_D: -0.022480 Loss_G: -0.016651 Loss_D_real: -0.003496 Loss_D_fake 0.018984
[713/5000][185/535][73391] Loss_D: -0.024110 Loss_G: 0.004623 Loss_D_real: -0.020875 Loss_D_fake 0.003235
[713/5000][190/535][73392] Loss_D: -0.024495 Loss_G: -0.014431 Loss_D_real: -0.011737 Loss_D_fake 0.012758
[713/5000][195/535][73393] Loss_D: -0.025477 Loss_G: 0.003591 Loss_D_real: -0.013542 Loss_D_fake 0.011935
[713/5000][200/535][73394] Loss_D: -0.023108 Loss_G: 0.025403 Loss_D_real: -0.025505 Loss_D_fake -0.002398
[713/5000][205/535][73395] Loss_D: -0.023663 Loss_G: 0.001365 Loss_D_real: -0.014376 Loss_D_fake 0.009286
[713/5000][210/535][73396] Loss_D: -0.023975 Loss_G: 0.013684 Loss_D_real: -0.014531 Loss_D_fake 0.009444
[713/5000][215/535][73397] Loss_D: -0.024185 Loss_G: 0.025502 Loss_D_real: -0.040584 Loss_D_fake -0.016400
[713/5000][220/535][73398] Loss_D: -0.021175 Loss_G: 0.002859 Loss_D_real: -0.017891 Loss_D_fake 0.003284
[713/5000][225/535][73399] Loss_D: -0.023729 Loss_G: 0.009913 Loss_D_real: -0.021966 Loss_D_fake 0.001762
[713/5000][230/535][73400] Loss_D: -0.023880 Loss_G: -0.005745 Loss_D_real: 0.001020 Loss_D_fake 0.024900
[713/5000][235/535][73401] Loss_D: -0.024343 Loss_G: 0.000180 Loss_D_real: -0.016502 Loss_D_fake 0.007841
[713/5000][240/535][73402] Loss_D: -0.023440 Loss_G: 0.001050 Loss_D_real: -0.019850 Loss_D_fake 0.003589
[713/5000][245/535][73403] Loss_D: -0.023627 Loss_G: 0.016052 Loss_D_real: -0.025775 Loss_D_fake -0.002148
[713/5000][250/535][73404] Loss_D: -0.023938 Loss_G: 0.014572 Loss_D_real: -0.014846 Loss_D_fake 0.009092
[713/5000][255/535][73405] Loss_D: -0.023877 Loss_G: -0.008350 Loss_D_real: 0.000122 Loss_D_fake 0.023999
[713/5000][260/535][73406] Loss_D: -0.023257 Loss_G: 0.012208 Loss_D_real: -0.007237 Loss_D_fake 0.016020
[713/5000][265/535][73407] Loss_D: -0.023277 Loss_G: 0.002784 Loss_D_real: -0.019373 Loss_D_fake 0.003904
[713/5000][270/535][73408] Loss_D: -0.022892 Loss_G: 0.019984 Loss_D_real: -0.019259 Loss_D_fake 0.003634
[713/5000][275/535][73409] Loss_D: -0.023130 Loss_G: -0.002713 Loss_D_real: -0.004636 Loss_D_fake 0.018494
[713/5000][280/535][73410] Loss_D: -0.024559 Loss_G: 0.006669 Loss_D_real: -0.012240 Loss_D_fake 0.012319
[713/5000][285/535][73411] Loss_D: -0.024639 Loss_G: -0.001518 Loss_D_real: -0.017536 Loss_D_fake 0.007103
[713/5000][290/535][73412] Loss_D: -0.024395 Loss_G: 0.013578 Loss_D_real: -0.025575 Loss_D_fake -0.001181
[713/5000][295/535][73413] Loss_D: -0.024722 Loss_G: 0.007067 Loss_D_real: -0.015542 Loss_D_fake 0.009180
[713/5000][300/535][73414] Loss_D: -0.022819 Loss_G: 0.025218 Loss_D_real: -0.025843 Loss_D_fake -0.003024
[713/5000][305/535][73415] Loss_D: -0.024085 Loss_G: 0.021985 Loss_D_real: -0.024921 Loss_D_fake -0.000836
[713/5000][310/535][73416] Loss_D: -0.023837 Loss_G: -0.009650 Loss_D_real: -0.005132 Loss_D_fake 0.018706
[713/5000][315/535][73417] Loss_D: -0.021500 Loss_G: 0.031493 Loss_D_real: -0.033299 Loss_D_fake -0.011799
[713/5000][320/535][73418] Loss_D: -0.026229 Loss_G: 0.000534 Loss_D_real: -0.015507 Loss_D_fake 0.010722
[713/5000][325/535][73419] Loss_D: -0.024084 Loss_G: 0.019510 Loss_D_real: -0.030310 Loss_D_fake -0.006226
[713/5000][330/535][73420] Loss_D: -0.025527 Loss_G: 0.019065 Loss_D_real: -0.030648 Loss_D_fake -0.005121
[713/5000][335/535][73421] Loss_D: -0.024399 Loss_G: 0.000075 Loss_D_real: -0.015234 Loss_D_fake 0.009165
[713/5000][340/535][73422] Loss_D: -0.024368 Loss_G: 0.010580 Loss_D_real: -0.020222 Loss_D_fake 0.004146
[713/5000][345/535][73423] Loss_D: -0.023756 Loss_G: 0.000006 Loss_D_real: -0.014060 Loss_D_fake 0.009697
[713/5000][350/535][73424] Loss_D: -0.024182 Loss_G: -0.007506 Loss_D_real: -0.008205 Loss_D_fake 0.015977
[713/5000][355/535][73425] Loss_D: -0.022809 Loss_G: 0.022558 Loss_D_real: -0.032883 Loss_D_fake -0.010074
[713/5000][360/535][73426] Loss_D: -0.024407 Loss_G: -0.002395 Loss_D_real: -0.015142 Loss_D_fake 0.009264
[713/5000][365/535][73427] Loss_D: -0.023475 Loss_G: -0.009823 Loss_D_real: -0.005819 Loss_D_fake 0.017656
[713/5000][370/535][73428] Loss_D: -0.024039 Loss_G: 0.003826 Loss_D_real: -0.011719 Loss_D_fake 0.012320
[713/5000][375/535][73429] Loss_D: -0.023113 Loss_G: 0.024838 Loss_D_real: -0.029276 Loss_D_fake -0.006163
[713/5000][380/535][73430] Loss_D: -0.025156 Loss_G: 0.022571 Loss_D_real: -0.019636 Loss_D_fake 0.005520
[713/5000][385/535][73431] Loss_D: -0.025015 Loss_G: 0.002892 Loss_D_real: -0.018290 Loss_D_fake 0.006725
[713/5000][390/535][73432] Loss_D: -0.023890 Loss_G: 0.004754 Loss_D_real: -0.023283 Loss_D_fake 0.000607
[713/5000][395/535][73433] Loss_D: -0.024017 Loss_G: 0.003035 Loss_D_real: -0.012361 Loss_D_fake 0.011656
[713/5000][400/535][73434] Loss_D: -0.023654 Loss_G: 0.001631 Loss_D_real: -0.014112 Loss_D_fake 0.009542
[713/5000][405/535][73435] Loss_D: -0.024255 Loss_G: 0.013911 Loss_D_real: -0.020582 Loss_D_fake 0.003673
[713/5000][410/535][73436] Loss_D: -0.023621 Loss_G: -0.002698 Loss_D_real: -0.019495 Loss_D_fake 0.004127
[713/5000][415/535][73437] Loss_D: -0.024996 Loss_G: 0.007134 Loss_D_real: -0.016074 Loss_D_fake 0.008922
[713/5000][420/535][73438] Loss_D: -0.024132 Loss_G: 0.005552 Loss_D_real: -0.015229 Loss_D_fake 0.008903
[713/5000][425/535][73439] Loss_D: -0.024063 Loss_G: 0.014280 Loss_D_real: -0.012198 Loss_D_fake 0.011865
[713/5000][430/535][73440] Loss_D: -0.023535 Loss_G: 0.013144 Loss_D_real: -0.019260 Loss_D_fake 0.004275
[713/5000][435/535][73441] Loss_D: -0.022397 Loss_G: 0.019820 Loss_D_real: -0.029724 Loss_D_fake -0.007326
[713/5000][440/535][73442] Loss_D: -0.025858 Loss_G: 0.008030 Loss_D_real: -0.018884 Loss_D_fake 0.006974
[713/5000][445/535][73443] Loss_D: -0.023351 Loss_G: 0.016998 Loss_D_real: -0.035323 Loss_D_fake -0.011972
[713/5000][450/535][73444] Loss_D: -0.023783 Loss_G: 0.029661 Loss_D_real: -0.017247 Loss_D_fake 0.006536
[713/5000][455/535][73445] Loss_D: -0.024664 Loss_G: 0.004924 Loss_D_real: -0.020016 Loss_D_fake 0.004648
[713/5000][460/535][73446] Loss_D: -0.023146 Loss_G: 0.030093 Loss_D_real: -0.038234 Loss_D_fake -0.015088
[713/5000][465/535][73447] Loss_D: -0.025312 Loss_G: 0.003649 Loss_D_real: -0.006034 Loss_D_fake 0.019278
[713/5000][470/535][73448] Loss_D: -0.024627 Loss_G: -0.006536 Loss_D_real: -0.010941 Loss_D_fake 0.013686
[713/5000][475/535][73449] Loss_D: -0.024304 Loss_G: 0.018158 Loss_D_real: -0.026930 Loss_D_fake -0.002626
[713/5000][480/535][73450] Loss_D: -0.026356 Loss_G: 0.010189 Loss_D_real: -0.026454 Loss_D_fake -0.000098
[713/5000][485/535][73451] Loss_D: -0.024086 Loss_G: 0.027449 Loss_D_real: -0.025854 Loss_D_fake -0.001768
[713/5000][490/535][73452] Loss_D: -0.024043 Loss_G: 0.018777 Loss_D_real: -0.025978 Loss_D_fake -0.001935
[713/5000][495/535][73453] Loss_D: -0.024220 Loss_G: 0.003898 Loss_D_real: -0.013634 Loss_D_fake 0.010586
[713/5000][500/535][73454] Loss_D: -0.023618 Loss_G: 0.016335 Loss_D_real: -0.029617 Loss_D_fake -0.005998
[713/5000][505/535][73455] Loss_D: -0.022852 Loss_G: 0.028250 Loss_D_real: -0.023471 Loss_D_fake -0.000619
[713/5000][510/535][73456] Loss_D: -0.024123 Loss_G: 0.017254 Loss_D_real: -0.018156 Loss_D_fake 0.005966
[713/5000][515/535][73457] Loss_D: -0.024330 Loss_G: -0.002810 Loss_D_real: -0.022171 Loss_D_fake 0.002159
[713/5000][520/535][73458] Loss_D: -0.024060 Loss_G: 0.014503 Loss_D_real: -0.029923 Loss_D_fake -0.005863
[713/5000][525/535][73459] Loss_D: -0.025989 Loss_G: 0.017213 Loss_D_real: -0.023245 Loss_D_fake 0.002743
[713/5000][530/535][73460] Loss_D: -0.024648 Loss_G: 0.009719 Loss_D_real: -0.023682 Loss_D_fake 0.000967
[713/5000][535/535][73461] Loss_D: -0.025103 Loss_G: 0.003431 Loss_D_real: -0.024076 Loss_D_fake 0.001026
[714/5000][5/535][73462] Loss_D: -0.023898 Loss_G: 0.009437 Loss_D_real: -0.011867 Loss_D_fake 0.012031
[714/5000][10/535][73463] Loss_D: -0.024719 Loss_G: 0.019977 Loss_D_real: -0.020863 Loss_D_fake 0.003856
[714/5000][15/535][73464] Loss_D: -0.024044 Loss_G: -0.009134 Loss_D_real: -0.008077 Loss_D_fake 0.015967
[714/5000][20/535][73465] Loss_D: -0.024395 Loss_G: 0.009083 Loss_D_real: -0.014470 Loss_D_fake 0.009925
[714/5000][25/535][73466] Loss_D: -0.024520 Loss_G: 0.003350 Loss_D_real: -0.007364 Loss_D_fake 0.017156
[714/5000][30/535][73467] Loss_D: -0.021686 Loss_G: 0.026922 Loss_D_real: -0.036833 Loss_D_fake -0.015147
[714/5000][35/535][73468] Loss_D: -0.024174 Loss_G: 0.010050 Loss_D_real: -0.013237 Loss_D_fake 0.010937
[714/5000][40/535][73469] Loss_D: -0.023542 Loss_G: 0.009996 Loss_D_real: -0.027104 Loss_D_fake -0.003561
[714/5000][45/535][73470] Loss_D: -0.025070 Loss_G: 0.011232 Loss_D_real: -0.022107 Loss_D_fake 0.002963
[714/5000][50/535][73471] Loss_D: -0.024861 Loss_G: 0.021470 Loss_D_real: -0.025195 Loss_D_fake -0.000334
[714/5000][55/535][73472] Loss_D: -0.025217 Loss_G: 0.007839 Loss_D_real: -0.015699 Loss_D_fake 0.009518
[714/5000][60/535][73473] Loss_D: -0.024310 Loss_G: 0.012988 Loss_D_real: -0.028596 Loss_D_fake -0.004286
[714/5000][65/535][73474] Loss_D: -0.022886 Loss_G: 0.033458 Loss_D_real: -0.031387 Loss_D_fake -0.008502
[714/5000][70/535][73475] Loss_D: -0.024060 Loss_G: -0.002594 Loss_D_real: -0.007496 Loss_D_fake 0.016564
[714/5000][75/535][73476] Loss_D: -0.024346 Loss_G: 0.000491 Loss_D_real: -0.017419 Loss_D_fake 0.006927
[714/5000][80/535][73477] Loss_D: -0.024646 Loss_G: 0.001679 Loss_D_real: -0.024286 Loss_D_fake 0.000360
[714/5000][85/535][73478] Loss_D: -0.023395 Loss_G: 0.020962 Loss_D_real: -0.022575 Loss_D_fake 0.000820
[714/5000][90/535][73479] Loss_D: -0.025407 Loss_G: 0.019943 Loss_D_real: -0.023415 Loss_D_fake 0.001992
[714/5000][95/535][73480] Loss_D: -0.021658 Loss_G: 0.030168 Loss_D_real: -0.043501 Loss_D_fake -0.021843
[714/5000][100/535][73481] Loss_D: -0.023754 Loss_G: -0.012698 Loss_D_real: -0.007206 Loss_D_fake 0.016548
[714/5000][105/535][73482] Loss_D: -0.023369 Loss_G: 0.010841 Loss_D_real: -0.020597 Loss_D_fake 0.002772
[714/5000][110/535][73483] Loss_D: -0.023670 Loss_G: 0.027540 Loss_D_real: -0.032858 Loss_D_fake -0.009188
[714/5000][115/535][73484] Loss_D: -0.025770 Loss_G: -0.009006 Loss_D_real: -0.005460 Loss_D_fake 0.020310
[714/5000][120/535][73485] Loss_D: -0.023625 Loss_G: -0.011470 Loss_D_real: -0.001105 Loss_D_fake 0.022520
[714/5000][125/535][73486] Loss_D: -0.025301 Loss_G: 0.001905 Loss_D_real: -0.015580 Loss_D_fake 0.009721
[714/5000][130/535][73487] Loss_D: -0.025012 Loss_G: 0.013546 Loss_D_real: -0.011208 Loss_D_fake 0.013804
[714/5000][135/535][73488] Loss_D: -0.024382 Loss_G: 0.006325 Loss_D_real: -0.009280 Loss_D_fake 0.015102
[714/5000][140/535][73489] Loss_D: -0.024194 Loss_G: 0.003727 Loss_D_real: -0.006454 Loss_D_fake 0.017739
[714/5000][145/535][73490] Loss_D: -0.023792 Loss_G: -0.005402 Loss_D_real: -0.009849 Loss_D_fake 0.013943
[714/5000][150/535][73491] Loss_D: -0.023869 Loss_G: 0.023334 Loss_D_real: -0.028970 Loss_D_fake -0.005101
[714/5000][155/535][73492] Loss_D: -0.023246 Loss_G: 0.031565 Loss_D_real: -0.030648 Loss_D_fake -0.007402
[714/5000][160/535][73493] Loss_D: -0.024091 Loss_G: 0.009299 Loss_D_real: -0.018555 Loss_D_fake 0.005536
[714/5000][165/535][73494] Loss_D: -0.024669 Loss_G: 0.010878 Loss_D_real: -0.017766 Loss_D_fake 0.006904
[714/5000][170/535][73495] Loss_D: -0.024184 Loss_G: 0.020446 Loss_D_real: -0.029347 Loss_D_fake -0.005164
[714/5000][175/535][73496] Loss_D: -0.024820 Loss_G: 0.002711 Loss_D_real: -0.011701 Loss_D_fake 0.013119
[714/5000][180/535][73497] Loss_D: -0.024071 Loss_G: 0.022297 Loss_D_real: -0.027786 Loss_D_fake -0.003715
[714/5000][185/535][73498] Loss_D: -0.024302 Loss_G: 0.017154 Loss_D_real: -0.021955 Loss_D_fake 0.002347
[714/5000][190/535][73499] Loss_D: -0.025081 Loss_G: 0.026112 Loss_D_real: -0.036271 Loss_D_fake -0.011190
[714/5000][195/535][73500] Loss_D: -0.023341 Loss_G: 0.011816 Loss_D_real: -0.019131 Loss_D_fake 0.004210
[714/5000][295/535][73501] Loss_D: -0.025863 Loss_G: 0.010418 Loss_D_real: -0.022138 Loss_D_fake 0.003725
[714/5000][300/535][73502] Loss_D: -0.024420 Loss_G: -0.000777 Loss_D_real: -0.013977 Loss_D_fake 0.010443
[714/5000][305/535][73503] Loss_D: -0.022906 Loss_G: 0.004837 Loss_D_real: -0.013581 Loss_D_fake 0.009325
[714/5000][310/535][73504] Loss_D: -0.023123 Loss_G: -0.000498 Loss_D_real: -0.013719 Loss_D_fake 0.009403
[714/5000][315/535][73505] Loss_D: -0.022430 Loss_G: 0.012488 Loss_D_real: -0.019877 Loss_D_fake 0.002553
[714/5000][320/535][73506] Loss_D: -0.022605 Loss_G: -0.009310 Loss_D_real: -0.011000 Loss_D_fake 0.011605
[714/5000][325/535][73507] Loss_D: -0.023061 Loss_G: 0.006597 Loss_D_real: -0.013887 Loss_D_fake 0.009174
[714/5000][330/535][73508] Loss_D: -0.023399 Loss_G: -0.006226 Loss_D_real: -0.007745 Loss_D_fake 0.015654
[714/5000][335/535][73509] Loss_D: -0.022326 Loss_G: -0.002249 Loss_D_real: -0.015391 Loss_D_fake 0.006936
[714/5000][340/535][73510] Loss_D: -0.024512 Loss_G: 0.018303 Loss_D_real: -0.025635 Loss_D_fake -0.001123
[714/5000][345/535][73511] Loss_D: -0.024791 Loss_G: 0.002874 Loss_D_real: -0.012013 Loss_D_fake 0.012778
[714/5000][350/535][73512] Loss_D: -0.023196 Loss_G: 0.027102 Loss_D_real: -0.028333 Loss_D_fake -0.005136
[714/5000][355/535][73513] Loss_D: -0.023850 Loss_G: 0.016802 Loss_D_real: -0.029713 Loss_D_fake -0.005863
[714/5000][360/535][73514] Loss_D: -0.023519 Loss_G: 0.028914 Loss_D_real: -0.033781 Loss_D_fake -0.010262
[714/5000][365/535][73515] Loss_D: -0.023627 Loss_G: -0.012404 Loss_D_real: -0.006308 Loss_D_fake 0.017319
[714/5000][370/535][73516] Loss_D: -0.023480 Loss_G: 0.025955 Loss_D_real: -0.030529 Loss_D_fake -0.007050
[714/5000][375/535][73517] Loss_D: -0.023703 Loss_G: 0.009558 Loss_D_real: -0.014685 Loss_D_fake 0.009018
[714/5000][380/535][73518] Loss_D: -0.024922 Loss_G: 0.009068 Loss_D_real: -0.026037 Loss_D_fake -0.001115
[714/5000][385/535][73519] Loss_D: -0.023362 Loss_G: 0.016097 Loss_D_real: -0.026167 Loss_D_fake -0.002805
[714/5000][390/535][73520] Loss_D: -0.023255 Loss_G: -0.001414 Loss_D_real: -0.004668 Loss_D_fake 0.018587
[714/5000][395/535][73521] Loss_D: -0.024098 Loss_G: 0.016695 Loss_D_real: -0.025695 Loss_D_fake -0.001597
[714/5000][400/535][73522] Loss_D: -0.024943 Loss_G: 0.002385 Loss_D_real: -0.000077 Loss_D_fake 0.024866
[714/5000][405/535][73523] Loss_D: -0.022678 Loss_G: -0.002314 Loss_D_real: -0.007999 Loss_D_fake 0.014679
[714/5000][410/535][73524] Loss_D: -0.022816 Loss_G: 0.013348 Loss_D_real: -0.018996 Loss_D_fake 0.003821
[714/5000][415/535][73525] Loss_D: -0.022902 Loss_G: -0.008628 Loss_D_real: -0.010823 Loss_D_fake 0.012078
[714/5000][420/535][73526] Loss_D: -0.023186 Loss_G: 0.014008 Loss_D_real: -0.018778 Loss_D_fake 0.004408
[714/5000][425/535][73527] Loss_D: -0.024769 Loss_G: 0.011623 Loss_D_real: -0.029273 Loss_D_fake -0.004504
[714/5000][430/535][73528] Loss_D: -0.024416 Loss_G: 0.010563 Loss_D_real: -0.021650 Loss_D_fake 0.002765
[714/5000][435/535][73529] Loss_D: -0.024560 Loss_G: 0.010952 Loss_D_real: -0.011250 Loss_D_fake 0.013309
[714/5000][440/535][73530] Loss_D: -0.023366 Loss_G: -0.017620 Loss_D_real: -0.000866 Loss_D_fake 0.022500
[714/5000][445/535][73531] Loss_D: -0.023819 Loss_G: 0.012190 Loss_D_real: -0.018214 Loss_D_fake 0.005604
[714/5000][450/535][73532] Loss_D: -0.024232 Loss_G: 0.014993 Loss_D_real: -0.024450 Loss_D_fake -0.000219
[714/5000][455/535][73533] Loss_D: -0.023709 Loss_G: -0.006317 Loss_D_real: -0.005951 Loss_D_fake 0.017758
[714/5000][460/535][73534] Loss_D: -0.024126 Loss_G: 0.017655 Loss_D_real: -0.032949 Loss_D_fake -0.008822
[714/5000][465/535][73535] Loss_D: -0.023926 Loss_G: 0.014800 Loss_D_real: -0.020831 Loss_D_fake 0.003096
[714/5000][470/535][73536] Loss_D: -0.024447 Loss_G: -0.000336 Loss_D_real: -0.016286 Loss_D_fake 0.008161
[714/5000][475/535][73537] Loss_D: -0.024426 Loss_G: 0.014558 Loss_D_real: -0.022560 Loss_D_fake 0.001865
[714/5000][480/535][73538] Loss_D: -0.021318 Loss_G: 0.006619 Loss_D_real: -0.024625 Loss_D_fake -0.003307
[714/5000][485/535][73539] Loss_D: -0.023535 Loss_G: 0.004788 Loss_D_real: -0.016223 Loss_D_fake 0.007312
[714/5000][490/535][73540] Loss_D: -0.023561 Loss_G: 0.018664 Loss_D_real: -0.032431 Loss_D_fake -0.008870
[714/5000][495/535][73541] Loss_D: -0.023729 Loss_G: 0.016265 Loss_D_real: -0.014556 Loss_D_fake 0.009173
[714/5000][500/535][73542] Loss_D: -0.023550 Loss_G: -0.010834 Loss_D_real: -0.005314 Loss_D_fake 0.018236
[714/5000][505/535][73543] Loss_D: -0.023299 Loss_G: 0.000764 Loss_D_real: -0.024192 Loss_D_fake -0.000893
[714/5000][510/535][73544] Loss_D: -0.024272 Loss_G: 0.012715 Loss_D_real: -0.017682 Loss_D_fake 0.006590
[714/5000][515/535][73545] Loss_D: -0.025178 Loss_G: 0.013097 Loss_D_real: -0.025653 Loss_D_fake -0.000475
[714/5000][520/535][73546] Loss_D: -0.024268 Loss_G: 0.025828 Loss_D_real: -0.032442 Loss_D_fake -0.008175
[714/5000][525/535][73547] Loss_D: -0.024381 Loss_G: 0.003710 Loss_D_real: -0.023446 Loss_D_fake 0.000936
[714/5000][530/535][73548] Loss_D: -0.021747 Loss_G: 0.014253 Loss_D_real: -0.030559 Loss_D_fake -0.008812
[714/5000][535/535][73549] Loss_D: -0.022961 Loss_G: -0.001241 Loss_D_real: -0.016556 Loss_D_fake 0.006405
[715/5000][5/535][73550] Loss_D: -0.024819 Loss_G: 0.018388 Loss_D_real: -0.018718 Loss_D_fake 0.006101
[715/5000][10/535][73551] Loss_D: -0.024359 Loss_G: 0.011093 Loss_D_real: -0.026056 Loss_D_fake -0.001698
[715/5000][15/535][73552] Loss_D: -0.023705 Loss_G: 0.018060 Loss_D_real: -0.021482 Loss_D_fake 0.002223
[715/5000][20/535][73553] Loss_D: -0.025016 Loss_G: 0.020105 Loss_D_real: -0.020376 Loss_D_fake 0.004641
[715/5000][25/535][73554] Loss_D: -0.024018 Loss_G: 0.019349 Loss_D_real: -0.029668 Loss_D_fake -0.005650
[715/5000][30/535][73555] Loss_D: -0.023983 Loss_G: 0.018366 Loss_D_real: -0.017887 Loss_D_fake 0.006096
[715/5000][35/535][73556] Loss_D: -0.024501 Loss_G: 0.010352 Loss_D_real: -0.011366 Loss_D_fake 0.013135
[715/5000][40/535][73557] Loss_D: -0.022913 Loss_G: 0.022110 Loss_D_real: -0.034593 Loss_D_fake -0.011680
[715/5000][45/535][73558] Loss_D: -0.025040 Loss_G: 0.017903 Loss_D_real: -0.017028 Loss_D_fake 0.008012
[715/5000][50/535][73559] Loss_D: -0.024616 Loss_G: 0.008010 Loss_D_real: -0.017755 Loss_D_fake 0.006861
[715/5000][55/535][73560] Loss_D: -0.023347 Loss_G: 0.012357 Loss_D_real: -0.024142 Loss_D_fake -0.000795
[715/5000][60/535][73561] Loss_D: -0.023230 Loss_G: 0.030783 Loss_D_real: -0.036298 Loss_D_fake -0.013068
[715/5000][65/535][73562] Loss_D: -0.024259 Loss_G: -0.002797 Loss_D_real: -0.007970 Loss_D_fake 0.016289
[715/5000][70/535][73563] Loss_D: -0.023868 Loss_G: -0.000007 Loss_D_real: -0.009146 Loss_D_fake 0.014722
[715/5000][75/535][73564] Loss_D: -0.025803 Loss_G: 0.009501 Loss_D_real: -0.023471 Loss_D_fake 0.002332
[715/5000][80/535][73565] Loss_D: -0.024426 Loss_G: 0.026638 Loss_D_real: -0.027640 Loss_D_fake -0.003214
[715/5000][85/535][73566] Loss_D: -0.023845 Loss_G: 0.007571 Loss_D_real: -0.014939 Loss_D_fake 0.008906
[715/5000][90/535][73567] Loss_D: -0.024117 Loss_G: 0.011188 Loss_D_real: -0.023560 Loss_D_fake 0.000557
[715/5000][95/535][73568] Loss_D: -0.024213 Loss_G: -0.021599 Loss_D_real: -0.009302 Loss_D_fake 0.014911
[715/5000][100/535][73569] Loss_D: -0.023047 Loss_G: 0.028501 Loss_D_real: -0.033954 Loss_D_fake -0.010908
[715/5000][105/535][73570] Loss_D: -0.024483 Loss_G: -0.006550 Loss_D_real: -0.019021 Loss_D_fake 0.005462
[715/5000][110/535][73571] Loss_D: -0.023829 Loss_G: 0.007715 Loss_D_real: -0.012129 Loss_D_fake 0.011699
[715/5000][115/535][73572] Loss_D: -0.024683 Loss_G: 0.007217 Loss_D_real: -0.016343 Loss_D_fake 0.008340
[715/5000][120/535][73573] Loss_D: -0.023548 Loss_G: 0.018528 Loss_D_real: -0.029260 Loss_D_fake -0.005712
[715/5000][125/535][73574] Loss_D: -0.024627 Loss_G: 0.002067 Loss_D_real: -0.017800 Loss_D_fake 0.006827
[715/5000][130/535][73575] Loss_D: -0.023151 Loss_G: 0.015227 Loss_D_real: -0.021494 Loss_D_fake 0.001657
[715/5000][135/535][73576] Loss_D: -0.023684 Loss_G: 0.014955 Loss_D_real: -0.021126 Loss_D_fake 0.002558
[715/5000][140/535][73577] Loss_D: -0.023962 Loss_G: 0.002235 Loss_D_real: -0.015871 Loss_D_fake 0.008091
[715/5000][145/535][73578] Loss_D: -0.022721 Loss_G: 0.029372 Loss_D_real: -0.029442 Loss_D_fake -0.006720
[715/5000][150/535][73579] Loss_D: -0.024410 Loss_G: 0.002967 Loss_D_real: -0.018928 Loss_D_fake 0.005482
[715/5000][155/535][73580] Loss_D: -0.024957 Loss_G: 0.013322 Loss_D_real: -0.026678 Loss_D_fake -0.001722
[715/5000][160/535][73581] Loss_D: -0.023777 Loss_G: 0.028732 Loss_D_real: -0.035441 Loss_D_fake -0.011664
[715/5000][165/535][73582] Loss_D: -0.024701 Loss_G: 0.002687 Loss_D_real: -0.016743 Loss_D_fake 0.007958
[715/5000][170/535][73583] Loss_D: -0.022510 Loss_G: 0.024626 Loss_D_real: -0.033223 Loss_D_fake -0.010713
[715/5000][175/535][73584] Loss_D: -0.024053 Loss_G: -0.011981 Loss_D_real: -0.006833 Loss_D_fake 0.017220
[715/5000][180/535][73585] Loss_D: -0.023091 Loss_G: 0.020912 Loss_D_real: -0.025887 Loss_D_fake -0.002796
[715/5000][185/535][73586] Loss_D: -0.024287 Loss_G: 0.007301 Loss_D_real: -0.012211 Loss_D_fake 0.012075
[715/5000][190/535][73587] Loss_D: -0.022243 Loss_G: 0.015143 Loss_D_real: -0.011116 Loss_D_fake 0.011127
[715/5000][195/535][73588] Loss_D: -0.024396 Loss_G: 0.001870 Loss_D_real: -0.008209 Loss_D_fake 0.016187
[715/5000][200/535][73589] Loss_D: -0.024086 Loss_G: 0.002449 Loss_D_real: -0.010553 Loss_D_fake 0.013533
[715/5000][205/535][73590] Loss_D: -0.023334 Loss_G: -0.012486 Loss_D_real: -0.008068 Loss_D_fake 0.015266
[715/5000][210/535][73591] Loss_D: -0.022447 Loss_G: 0.023234 Loss_D_real: -0.021015 Loss_D_fake 0.001432
[715/5000][215/535][73592] Loss_D: -0.024762 Loss_G: 0.017594 Loss_D_real: -0.025490 Loss_D_fake -0.000728
[715/5000][220/535][73593] Loss_D: -0.024093 Loss_G: 0.005299 Loss_D_real: -0.010707 Loss_D_fake 0.013385
[715/5000][225/535][73594] Loss_D: -0.023826 Loss_G: 0.007616 Loss_D_real: -0.013934 Loss_D_fake 0.009892
[715/5000][230/535][73595] Loss_D: -0.022783 Loss_G: 0.025220 Loss_D_real: -0.033609 Loss_D_fake -0.010826
[715/5000][235/535][73596] Loss_D: -0.024268 Loss_G: 0.006994 Loss_D_real: -0.019407 Loss_D_fake 0.004861
[715/5000][240/535][73597] Loss_D: -0.021321 Loss_G: 0.027739 Loss_D_real: -0.038185 Loss_D_fake -0.016864
[715/5000][245/535][73598] Loss_D: -0.024745 Loss_G: -0.002783 Loss_D_real: -0.010466 Loss_D_fake 0.014279
[715/5000][250/535][73599] Loss_D: -0.024575 Loss_G: 0.008768 Loss_D_real: -0.024562 Loss_D_fake 0.000013
[715/5000][255/535][73600] Loss_D: -0.024591 Loss_G: -0.002062 Loss_D_real: -0.001205 Loss_D_fake 0.023387
[715/5000][260/535][73601] Loss_D: -0.024184 Loss_G: -0.004352 Loss_D_real: -0.017868 Loss_D_fake 0.006316
[715/5000][265/535][73602] Loss_D: -0.024609 Loss_G: 0.022370 Loss_D_real: -0.031490 Loss_D_fake -0.006881
[715/5000][270/535][73603] Loss_D: -0.025756 Loss_G: 0.014745 Loss_D_real: -0.034192 Loss_D_fake -0.008436
[715/5000][275/535][73604] Loss_D: -0.024078 Loss_G: 0.023195 Loss_D_real: -0.028237 Loss_D_fake -0.004160
[715/5000][280/535][73605] Loss_D: -0.025232 Loss_G: 0.021757 Loss_D_real: -0.026501 Loss_D_fake -0.001269
[715/5000][285/535][73606] Loss_D: -0.025189 Loss_G: 0.015286 Loss_D_real: -0.033900 Loss_D_fake -0.008711
[715/5000][290/535][73607] Loss_D: -0.023438 Loss_G: 0.020413 Loss_D_real: -0.035702 Loss_D_fake -0.012265
[715/5000][295/535][73608] Loss_D: -0.024664 Loss_G: 0.010678 Loss_D_real: -0.022162 Loss_D_fake 0.002502
[715/5000][300/535][73609] Loss_D: -0.024364 Loss_G: 0.001424 Loss_D_real: -0.009866 Loss_D_fake 0.014498
[715/5000][305/535][73610] Loss_D: -0.024134 Loss_G: 0.004705 Loss_D_real: -0.015651 Loss_D_fake 0.008483
[715/5000][310/535][73611] Loss_D: -0.025674 Loss_G: 0.019139 Loss_D_real: -0.031957 Loss_D_fake -0.006283
[715/5000][315/535][73612] Loss_D: -0.023818 Loss_G: 0.004634 Loss_D_real: -0.016378 Loss_D_fake 0.007440
[715/5000][320/535][73613] Loss_D: -0.023536 Loss_G: 0.002229 Loss_D_real: -0.018292 Loss_D_fake 0.005245
[715/5000][325/535][73614] Loss_D: -0.024586 Loss_G: 0.007800 Loss_D_real: -0.011751 Loss_D_fake 0.012835
[715/5000][330/535][73615] Loss_D: -0.022892 Loss_G: 0.016062 Loss_D_real: -0.027676 Loss_D_fake -0.004784
[715/5000][335/535][73616] Loss_D: -0.023902 Loss_G: -0.008925 Loss_D_real: -0.004175 Loss_D_fake 0.019727
[715/5000][340/535][73617] Loss_D: -0.024541 Loss_G: 0.007122 Loss_D_real: -0.009438 Loss_D_fake 0.015103
[715/5000][345/535][73618] Loss_D: -0.024685 Loss_G: 0.004882 Loss_D_real: -0.018488 Loss_D_fake 0.006197
[715/5000][350/535][73619] Loss_D: -0.023986 Loss_G: 0.017899 Loss_D_real: -0.030030 Loss_D_fake -0.006045
[715/5000][355/535][73620] Loss_D: -0.024540 Loss_G: 0.001475 Loss_D_real: -0.009566 Loss_D_fake 0.014973
[715/5000][360/535][73621] Loss_D: -0.025032 Loss_G: -0.008989 Loss_D_real: -0.013657 Loss_D_fake 0.011375
[715/5000][365/535][73622] Loss_D: -0.024784 Loss_G: 0.012822 Loss_D_real: -0.024515 Loss_D_fake 0.000269
[715/5000][370/535][73623] Loss_D: -0.023399 Loss_G: 0.027384 Loss_D_real: -0.029830 Loss_D_fake -0.006431
[715/5000][375/535][73624] Loss_D: -0.023078 Loss_G: -0.001146 Loss_D_real: -0.009372 Loss_D_fake 0.013706
[715/5000][380/535][73625] Loss_D: -0.023133 Loss_G: 0.014195 Loss_D_real: -0.020757 Loss_D_fake 0.002375
[715/5000][385/535][73626] Loss_D: -0.024183 Loss_G: 0.009391 Loss_D_real: -0.030907 Loss_D_fake -0.006725
[715/5000][390/535][73627] Loss_D: -0.022822 Loss_G: 0.007082 Loss_D_real: -0.016023 Loss_D_fake 0.006798
[715/5000][395/535][73628] Loss_D: -0.023584 Loss_G: 0.002371 Loss_D_real: -0.015423 Loss_D_fake 0.008162
[715/5000][400/535][73629] Loss_D: -0.022772 Loss_G: 0.001619 Loss_D_real: -0.008887 Loss_D_fake 0.013885
[715/5000][405/535][73630] Loss_D: -0.024470 Loss_G: -0.013131 Loss_D_real: -0.012870 Loss_D_fake 0.011600
[715/5000][410/535][73631] Loss_D: -0.024076 Loss_G: 0.015286 Loss_D_real: -0.028057 Loss_D_fake -0.003981
[715/5000][415/535][73632] Loss_D: -0.024613 Loss_G: 0.019964 Loss_D_real: -0.021485 Loss_D_fake 0.003129
[715/5000][420/535][73633] Loss_D: -0.023869 Loss_G: 0.025796 Loss_D_real: -0.028437 Loss_D_fake -0.004568
[715/5000][425/535][73634] Loss_D: -0.024060 Loss_G: 0.005764 Loss_D_real: -0.015137 Loss_D_fake 0.008923
[715/5000][430/535][73635] Loss_D: -0.024851 Loss_G: -0.000037 Loss_D_real: -0.022034 Loss_D_fake 0.002817
[715/5000][435/535][73636] Loss_D: -0.024019 Loss_G: 0.022465 Loss_D_real: -0.029248 Loss_D_fake -0.005229
[715/5000][440/535][73637] Loss_D: -0.024060 Loss_G: 0.010943 Loss_D_real: -0.021499 Loss_D_fake 0.002562
[715/5000][445/535][73638] Loss_D: -0.024020 Loss_G: -0.001268 Loss_D_real: -0.015020 Loss_D_fake 0.009000
[715/5000][450/535][73639] Loss_D: -0.022310 Loss_G: 0.026436 Loss_D_real: -0.026025 Loss_D_fake -0.003715
[715/5000][455/535][73640] Loss_D: -0.023724 Loss_G: 0.003934 Loss_D_real: -0.022623 Loss_D_fake 0.001101
[715/5000][460/535][73641] Loss_D: -0.023547 Loss_G: 0.020221 Loss_D_real: -0.031662 Loss_D_fake -0.008115
[715/5000][465/535][73642] Loss_D: -0.024353 Loss_G: 0.008551 Loss_D_real: -0.023680 Loss_D_fake 0.000673
[715/5000][470/535][73643] Loss_D: -0.025293 Loss_G: 0.000184 Loss_D_real: -0.015259 Loss_D_fake 0.010035
[715/5000][475/535][73644] Loss_D: -0.025137 Loss_G: -0.004899 Loss_D_real: -0.008207 Loss_D_fake 0.016930
[715/5000][480/535][73645] Loss_D: -0.024720 Loss_G: 0.008440 Loss_D_real: -0.020335 Loss_D_fake 0.004386
[715/5000][485/535][73646] Loss_D: -0.024085 Loss_G: 0.022370 Loss_D_real: -0.032033 Loss_D_fake -0.007948
[715/5000][490/535][73647] Loss_D: -0.025108 Loss_G: -0.012120 Loss_D_real: -0.006208 Loss_D_fake 0.018901
[715/5000][495/535][73648] Loss_D: -0.024089 Loss_G: -0.012527 Loss_D_real: -0.004878 Loss_D_fake 0.019211
[715/5000][500/535][73649] Loss_D: -0.024172 Loss_G: 0.022439 Loss_D_real: -0.028769 Loss_D_fake -0.004597
[715/5000][505/535][73650] Loss_D: -0.023327 Loss_G: 0.007385 Loss_D_real: -0.021635 Loss_D_fake 0.001693
[715/5000][510/535][73651] Loss_D: -0.024856 Loss_G: 0.009392 Loss_D_real: -0.012678 Loss_D_fake 0.012178
[715/5000][515/535][73652] Loss_D: -0.025165 Loss_G: 0.011890 Loss_D_real: -0.019949 Loss_D_fake 0.005216
[715/5000][520/535][73653] Loss_D: -0.023784 Loss_G: 0.002743 Loss_D_real: -0.005387 Loss_D_fake 0.018398
[715/5000][525/535][73654] Loss_D: -0.025197 Loss_G: 0.012540 Loss_D_real: -0.014564 Loss_D_fake 0.010632
[715/5000][530/535][73655] Loss_D: -0.024951 Loss_G: 0.004223 Loss_D_real: -0.026735 Loss_D_fake -0.001784
[715/5000][535/535][73656] Loss_D: -0.024399 Loss_G: -0.015380 Loss_D_real: -0.014564 Loss_D_fake 0.009835
[716/5000][5/535][73657] Loss_D: -0.023467 Loss_G: 0.012163 Loss_D_real: -0.007453 Loss_D_fake 0.016014
[716/5000][10/535][73658] Loss_D: -0.025140 Loss_G: 0.016214 Loss_D_real: -0.028164 Loss_D_fake -0.003024
[716/5000][15/535][73659] Loss_D: -0.025138 Loss_G: 0.006505 Loss_D_real: -0.022620 Loss_D_fake 0.002518
[716/5000][20/535][73660] Loss_D: -0.023365 Loss_G: 0.023266 Loss_D_real: -0.034330 Loss_D_fake -0.010965
[716/5000][25/535][73661] Loss_D: -0.025896 Loss_G: -0.000501 Loss_D_real: -0.021735 Loss_D_fake 0.004161
[716/5000][30/535][73662] Loss_D: -0.024884 Loss_G: 0.017835 Loss_D_real: -0.025030 Loss_D_fake -0.000146
[716/5000][35/535][73663] Loss_D: -0.024511 Loss_G: 0.029032 Loss_D_real: -0.026299 Loss_D_fake -0.001788
[716/5000][40/535][73664] Loss_D: -0.024794 Loss_G: -0.000121 Loss_D_real: -0.012959 Loss_D_fake 0.011835
[716/5000][45/535][73665] Loss_D: -0.024661 Loss_G: 0.009459 Loss_D_real: -0.019769 Loss_D_fake 0.004891
[716/5000][50/535][73666] Loss_D: -0.024481 Loss_G: 0.001197 Loss_D_real: -0.020719 Loss_D_fake 0.003762
[716/5000][55/535][73667] Loss_D: -0.024647 Loss_G: 0.021128 Loss_D_real: -0.011504 Loss_D_fake 0.013143
[716/5000][60/535][73668] Loss_D: -0.023052 Loss_G: 0.006830 Loss_D_real: -0.006765 Loss_D_fake 0.016287
[716/5000][65/535][73669] Loss_D: -0.025692 Loss_G: 0.012514 Loss_D_real: -0.016722 Loss_D_fake 0.008970
[716/5000][70/535][73670] Loss_D: -0.023858 Loss_G: -0.008650 Loss_D_real: -0.009141 Loss_D_fake 0.014717
[716/5000][75/535][73671] Loss_D: -0.024262 Loss_G: 0.005213 Loss_D_real: -0.017577 Loss_D_fake 0.006684
[716/5000][80/535][73672] Loss_D: -0.024209 Loss_G: 0.005845 Loss_D_real: -0.011019 Loss_D_fake 0.013190
[716/5000][85/535][73673] Loss_D: -0.023937 Loss_G: 0.030965 Loss_D_real: -0.028407 Loss_D_fake -0.004470
[716/5000][90/535][73674] Loss_D: -0.024023 Loss_G: 0.005026 Loss_D_real: -0.014176 Loss_D_fake 0.009846
[716/5000][95/535][73675] Loss_D: -0.023729 Loss_G: 0.014660 Loss_D_real: -0.036069 Loss_D_fake -0.012340
[716/5000][100/535][73676] Loss_D: -0.025173 Loss_G: 0.000740 Loss_D_real: -0.021744 Loss_D_fake 0.003429
[716/5000][105/535][73677] Loss_D: -0.023320 Loss_G: -0.015508 Loss_D_real: -0.010070 Loss_D_fake 0.013249
[716/5000][110/535][73678] Loss_D: -0.022539 Loss_G: 0.018244 Loss_D_real: -0.003671 Loss_D_fake 0.018868
[716/5000][115/535][73679] Loss_D: -0.023695 Loss_G: 0.013639 Loss_D_real: -0.022812 Loss_D_fake 0.000883
[716/5000][120/535][73680] Loss_D: -0.025202 Loss_G: 0.014533 Loss_D_real: -0.014290 Loss_D_fake 0.010911
[716/5000][125/535][73681] Loss_D: -0.024227 Loss_G: 0.021489 Loss_D_real: -0.024402 Loss_D_fake -0.000175
[716/5000][130/535][73682] Loss_D: -0.023412 Loss_G: 0.024437 Loss_D_real: -0.029737 Loss_D_fake -0.006326
[716/5000][135/535][73683] Loss_D: -0.024658 Loss_G: 0.000659 Loss_D_real: -0.004163 Loss_D_fake 0.020495
[716/5000][140/535][73684] Loss_D: -0.024149 Loss_G: 0.009260 Loss_D_real: -0.025917 Loss_D_fake -0.001768
[716/5000][145/535][73685] Loss_D: -0.025218 Loss_G: 0.014614 Loss_D_real: -0.013024 Loss_D_fake 0.012194
[716/5000][150/535][73686] Loss_D: -0.025577 Loss_G: 0.009538 Loss_D_real: -0.016317 Loss_D_fake 0.009260
[716/5000][155/535][73687] Loss_D: -0.024446 Loss_G: 0.020935 Loss_D_real: -0.026697 Loss_D_fake -0.002251
[716/5000][160/535][73688] Loss_D: -0.025279 Loss_G: 0.004692 Loss_D_real: -0.017517 Loss_D_fake 0.007761
[716/5000][165/535][73689] Loss_D: -0.023787 Loss_G: 0.023703 Loss_D_real: -0.033175 Loss_D_fake -0.009388
[716/5000][170/535][73690] Loss_D: -0.024042 Loss_G: 0.006432 Loss_D_real: -0.012122 Loss_D_fake 0.011919
[716/5000][175/535][73691] Loss_D: -0.024476 Loss_G: -0.008358 Loss_D_real: -0.004026 Loss_D_fake 0.020449
[716/5000][180/535][73692] Loss_D: -0.024253 Loss_G: -0.000784 Loss_D_real: -0.020549 Loss_D_fake 0.003703
[716/5000][185/535][73693] Loss_D: -0.024256 Loss_G: 0.028280 Loss_D_real: -0.033662 Loss_D_fake -0.009407
[716/5000][190/535][73694] Loss_D: -0.023956 Loss_G: -0.008787 Loss_D_real: -0.010889 Loss_D_fake 0.013068
[716/5000][195/535][73695] Loss_D: -0.024521 Loss_G: 0.027794 Loss_D_real: -0.026357 Loss_D_fake -0.001835
[716/5000][200/535][73696] Loss_D: -0.023969 Loss_G: 0.022341 Loss_D_real: -0.024174 Loss_D_fake -0.000206
[716/5000][205/535][73697] Loss_D: -0.024068 Loss_G: 0.004067 Loss_D_real: -0.016716 Loss_D_fake 0.007352
[716/5000][210/535][73698] Loss_D: -0.024269 Loss_G: 0.008363 Loss_D_real: -0.025681 Loss_D_fake -0.001412
[716/5000][215/535][73699] Loss_D: -0.023249 Loss_G: 0.018871 Loss_D_real: -0.036468 Loss_D_fake -0.013218
[716/5000][220/535][73700] Loss_D: -0.022221 Loss_G: -0.017447 Loss_D_real: 0.003768 Loss_D_fake 0.025989
[716/5000][225/535][73701] Loss_D: -0.023394 Loss_G: 0.020829 Loss_D_real: -0.024036 Loss_D_fake -0.000642
[716/5000][230/535][73702] Loss_D: -0.023739 Loss_G: 0.023658 Loss_D_real: -0.034249 Loss_D_fake -0.010510
[716/5000][235/535][73703] Loss_D: -0.023770 Loss_G: 0.007960 Loss_D_real: -0.023359 Loss_D_fake 0.000411
[716/5000][240/535][73704] Loss_D: -0.025248 Loss_G: -0.002103 Loss_D_real: -0.020276 Loss_D_fake 0.004972
[716/5000][245/535][73705] Loss_D: -0.023723 Loss_G: 0.019964 Loss_D_real: -0.025385 Loss_D_fake -0.001662
[716/5000][250/535][73706] Loss_D: -0.022601 Loss_G: 0.004479 Loss_D_real: -0.016552 Loss_D_fake 0.006049
[716/5000][255/535][73707] Loss_D: -0.024225 Loss_G: -0.007307 Loss_D_real: -0.018319 Loss_D_fake 0.005906
[716/5000][260/535][73708] Loss_D: -0.023787 Loss_G: -0.002606 Loss_D_real: -0.014803 Loss_D_fake 0.008984
[716/5000][265/535][73709] Loss_D: -0.024304 Loss_G: 0.032386 Loss_D_real: -0.028395 Loss_D_fake -0.004091
[716/5000][270/535][73710] Loss_D: -0.025705 Loss_G: 0.012882 Loss_D_real: -0.028792 Loss_D_fake -0.003087
[716/5000][275/535][73711] Loss_D: -0.025495 Loss_G: 0.004692 Loss_D_real: -0.028922 Loss_D_fake -0.003427
[716/5000][280/535][73712] Loss_D: -0.025105 Loss_G: 0.007207 Loss_D_real: -0.014345 Loss_D_fake 0.010760
[716/5000][285/535][73713] Loss_D: -0.023745 Loss_G: 0.001923 Loss_D_real: -0.016849 Loss_D_fake 0.006896
[716/5000][290/535][73714] Loss_D: -0.024373 Loss_G: 0.009709 Loss_D_real: -0.018967 Loss_D_fake 0.005405
[716/5000][295/535][73715] Loss_D: -0.024521 Loss_G: 0.010471 Loss_D_real: -0.017291 Loss_D_fake 0.007230
[716/5000][300/535][73716] Loss_D: -0.024299 Loss_G: 0.014173 Loss_D_real: -0.021026 Loss_D_fake 0.003273
[716/5000][305/535][73717] Loss_D: -0.024708 Loss_G: -0.001561 Loss_D_real: -0.015249 Loss_D_fake 0.009459
[716/5000][310/535][73718] Loss_D: -0.024434 Loss_G: 0.008664 Loss_D_real: -0.016354 Loss_D_fake 0.008080
[716/5000][315/535][73719] Loss_D: -0.023142 Loss_G: 0.024027 Loss_D_real: -0.024141 Loss_D_fake -0.000998
[716/5000][320/535][73720] Loss_D: -0.024125 Loss_G: -0.015814 Loss_D_real: 0.001981 Loss_D_fake 0.026106
[716/5000][325/535][73721] Loss_D: -0.021559 Loss_G: 0.021182 Loss_D_real: -0.030481 Loss_D_fake -0.008923
[716/5000][330/535][73722] Loss_D: -0.024471 Loss_G: 0.016244 Loss_D_real: -0.012642 Loss_D_fake 0.011828
[716/5000][335/535][73723] Loss_D: -0.024781 Loss_G: 0.018207 Loss_D_real: -0.030882 Loss_D_fake -0.006101
[716/5000][340/535][73724] Loss_D: -0.024512 Loss_G: 0.020557 Loss_D_real: -0.026655 Loss_D_fake -0.002144
[716/5000][345/535][73725] Loss_D: -0.024235 Loss_G: -0.003496 Loss_D_real: -0.009624 Loss_D_fake 0.014612
[716/5000][350/535][73726] Loss_D: -0.024897 Loss_G: -0.005589 Loss_D_real: -0.008391 Loss_D_fake 0.016506
[716/5000][355/535][73727] Loss_D: -0.024152 Loss_G: 0.018016 Loss_D_real: -0.022602 Loss_D_fake 0.001550
[716/5000][360/535][73728] Loss_D: -0.024685 Loss_G: -0.000375 Loss_D_real: -0.012251 Loss_D_fake 0.012434
[716/5000][365/535][73729] Loss_D: -0.023620 Loss_G: 0.013464 Loss_D_real: -0.022102 Loss_D_fake 0.001518
[716/5000][370/535][73730] Loss_D: -0.023584 Loss_G: 0.028861 Loss_D_real: -0.028856 Loss_D_fake -0.005271
[716/5000][375/535][73731] Loss_D: -0.024191 Loss_G: 0.011822 Loss_D_real: -0.017985 Loss_D_fake 0.006206
[716/5000][380/535][73732] Loss_D: -0.024237 Loss_G: -0.011791 Loss_D_real: -0.008849 Loss_D_fake 0.015388
[716/5000][385/535][73733] Loss_D: -0.024518 Loss_G: 0.023886 Loss_D_real: -0.027574 Loss_D_fake -0.003056
[716/5000][390/535][73734] Loss_D: -0.023369 Loss_G: 0.001635 Loss_D_real: -0.009904 Loss_D_fake 0.013465
[716/5000][395/535][73735] Loss_D: -0.025419 Loss_G: -0.004425 Loss_D_real: -0.018971 Loss_D_fake 0.006448
[716/5000][400/535][73736] Loss_D: -0.024095 Loss_G: 0.028396 Loss_D_real: -0.025507 Loss_D_fake -0.001411
[716/5000][405/535][73737] Loss_D: -0.023682 Loss_G: -0.001104 Loss_D_real: -0.012121 Loss_D_fake 0.011561
[716/5000][410/535][73738] Loss_D: -0.022283 Loss_G: 0.022082 Loss_D_real: -0.037080 Loss_D_fake -0.014797
[716/5000][415/535][73739] Loss_D: -0.023978 Loss_G: 0.017975 Loss_D_real: -0.025843 Loss_D_fake -0.001865
[716/5000][420/535][73740] Loss_D: -0.023889 Loss_G: 0.013992 Loss_D_real: -0.028618 Loss_D_fake -0.004729
[716/5000][425/535][73741] Loss_D: -0.024067 Loss_G: -0.007430 Loss_D_real: -0.015712 Loss_D_fake 0.008355
[716/5000][430/535][73742] Loss_D: -0.022373 Loss_G: 0.018880 Loss_D_real: -0.022403 Loss_D_fake -0.000030
[716/5000][435/535][73743] Loss_D: -0.024043 Loss_G: 0.008198 Loss_D_real: -0.012735 Loss_D_fake 0.011308
[716/5000][440/535][73744] Loss_D: -0.023816 Loss_G: 0.000852 Loss_D_real: -0.018547 Loss_D_fake 0.005270
[716/5000][445/535][73745] Loss_D: -0.024118 Loss_G: 0.004608 Loss_D_real: -0.000523 Loss_D_fake 0.023595
[716/5000][450/535][73746] Loss_D: -0.023430 Loss_G: 0.000921 Loss_D_real: -0.021196 Loss_D_fake 0.002233
[716/5000][455/535][73747] Loss_D: -0.024483 Loss_G: 0.013446 Loss_D_real: -0.023634 Loss_D_fake 0.000849
[716/5000][460/535][73748] Loss_D: -0.024524 Loss_G: -0.001440 Loss_D_real: -0.021929 Loss_D_fake 0.002595
[716/5000][465/535][73749] Loss_D: -0.024401 Loss_G: 0.003654 Loss_D_real: -0.016393 Loss_D_fake 0.008007
[716/5000][470/535][73750] Loss_D: -0.025366 Loss_G: 0.010714 Loss_D_real: -0.018357 Loss_D_fake 0.007008
[716/5000][475/535][73751] Loss_D: -0.024549 Loss_G: 0.017881 Loss_D_real: -0.027659 Loss_D_fake -0.003110
[716/5000][480/535][73752] Loss_D: -0.022956 Loss_G: 0.032324 Loss_D_real: -0.030407 Loss_D_fake -0.007451
[716/5000][485/535][73753] Loss_D: -0.023947 Loss_G: 0.013511 Loss_D_real: -0.029526 Loss_D_fake -0.005579
[716/5000][490/535][73754] Loss_D: -0.024853 Loss_G: 0.008082 Loss_D_real: -0.027732 Loss_D_fake -0.002879
[716/5000][495/535][73755] Loss_D: -0.023573 Loss_G: -0.001664 Loss_D_real: -0.001004 Loss_D_fake 0.022568
[716/5000][500/535][73756] Loss_D: -0.023457 Loss_G: 0.025166 Loss_D_real: -0.038640 Loss_D_fake -0.015183
[716/5000][505/535][73757] Loss_D: -0.024258 Loss_G: 0.009469 Loss_D_real: -0.017651 Loss_D_fake 0.006607
[716/5000][510/535][73758] Loss_D: -0.022506 Loss_G: -0.015993 Loss_D_real: 0.002496 Loss_D_fake 0.025001
[716/5000][515/535][73759] Loss_D: -0.024938 Loss_G: 0.006861 Loss_D_real: -0.023343 Loss_D_fake 0.001595
[716/5000][520/535][73760] Loss_D: -0.021897 Loss_G: -0.005849 Loss_D_real: -0.000846 Loss_D_fake 0.021050
[716/5000][525/535][73761] Loss_D: -0.023411 Loss_G: 0.021247 Loss_D_real: -0.027509 Loss_D_fake -0.004098
[716/5000][530/535][73762] Loss_D: -0.023658 Loss_G: -0.000927 Loss_D_real: -0.013501 Loss_D_fake 0.010156
[716/5000][535/535][73763] Loss_D: -0.024199 Loss_G: -0.013607 Loss_D_real: -0.005540 Loss_D_fake 0.018659
[717/5000][5/535][73764] Loss_D: -0.023980 Loss_G: 0.000566 Loss_D_real: -0.017730 Loss_D_fake 0.006250
[717/5000][10/535][73765] Loss_D: -0.024247 Loss_G: 0.018850 Loss_D_real: -0.028145 Loss_D_fake -0.003898
[717/5000][15/535][73766] Loss_D: -0.023608 Loss_G: 0.026964 Loss_D_real: -0.031051 Loss_D_fake -0.007442
[717/5000][20/535][73767] Loss_D: -0.024308 Loss_G: 0.010887 Loss_D_real: -0.014828 Loss_D_fake 0.009480
[717/5000][25/535][73768] Loss_D: -0.024751 Loss_G: 0.003278 Loss_D_real: -0.013291 Loss_D_fake 0.011460
[717/5000][30/535][73769] Loss_D: -0.021488 Loss_G: 0.031680 Loss_D_real: -0.039848 Loss_D_fake -0.018360
[717/5000][35/535][73770] Loss_D: -0.024016 Loss_G: -0.009279 Loss_D_real: -0.012517 Loss_D_fake 0.011499
[717/5000][40/535][73771] Loss_D: -0.023866 Loss_G: -0.001405 Loss_D_real: -0.005529 Loss_D_fake 0.018338
[717/5000][45/535][73772] Loss_D: -0.024694 Loss_G: 0.010178 Loss_D_real: -0.015220 Loss_D_fake 0.009474
[717/5000][50/535][73773] Loss_D: -0.023769 Loss_G: 0.010738 Loss_D_real: -0.019789 Loss_D_fake 0.003980
[717/5000][55/535][73774] Loss_D: -0.023711 Loss_G: 0.023723 Loss_D_real: -0.020057 Loss_D_fake 0.003655
[717/5000][60/535][73775] Loss_D: -0.024994 Loss_G: 0.004904 Loss_D_real: -0.029660 Loss_D_fake -0.004666
[717/5000][65/535][73776] Loss_D: -0.023627 Loss_G: -0.004319 Loss_D_real: -0.009873 Loss_D_fake 0.013754
[717/5000][70/535][73777] Loss_D: -0.024468 Loss_G: 0.007534 Loss_D_real: -0.023842 Loss_D_fake 0.000625
[717/5000][75/535][73778] Loss_D: -0.024506 Loss_G: 0.006091 Loss_D_real: -0.028499 Loss_D_fake -0.003993
[717/5000][80/535][73779] Loss_D: -0.024631 Loss_G: 0.010046 Loss_D_real: -0.011925 Loss_D_fake 0.012705
[717/5000][85/535][73780] Loss_D: -0.023791 Loss_G: 0.017013 Loss_D_real: -0.028726 Loss_D_fake -0.004935
[717/5000][90/535][73781] Loss_D: -0.023420 Loss_G: 0.025482 Loss_D_real: -0.038434 Loss_D_fake -0.015015
[717/5000][95/535][73782] Loss_D: -0.024540 Loss_G: 0.028870 Loss_D_real: -0.023219 Loss_D_fake 0.001321
[717/5000][100/535][73783] Loss_D: -0.025561 Loss_G: 0.007828 Loss_D_real: -0.011296 Loss_D_fake 0.014265
[717/5000][105/535][73784] Loss_D: -0.023081 Loss_G: 0.013899 Loss_D_real: -0.019517 Loss_D_fake 0.003563
[717/5000][110/535][73785] Loss_D: -0.024571 Loss_G: 0.021120 Loss_D_real: -0.011588 Loss_D_fake 0.012983
[717/5000][115/535][73786] Loss_D: -0.024229 Loss_G: -0.004416 Loss_D_real: -0.013006 Loss_D_fake 0.011222
[717/5000][120/535][73787] Loss_D: -0.023679 Loss_G: 0.018257 Loss_D_real: -0.025859 Loss_D_fake -0.002179
[717/5000][125/535][73788] Loss_D: -0.024627 Loss_G: 0.008308 Loss_D_real: -0.026429 Loss_D_fake -0.001802
[717/5000][130/535][73789] Loss_D: -0.022999 Loss_G: 0.018624 Loss_D_real: -0.023268 Loss_D_fake -0.000269
[717/5000][135/535][73790] Loss_D: -0.023843 Loss_G: 0.001072 Loss_D_real: -0.014607 Loss_D_fake 0.009236
[717/5000][140/535][73791] Loss_D: -0.022233 Loss_G: 0.018342 Loss_D_real: -0.034041 Loss_D_fake -0.011808
[717/5000][145/535][73792] Loss_D: -0.024042 Loss_G: 0.002421 Loss_D_real: -0.013257 Loss_D_fake 0.010785
[717/5000][150/535][73793] Loss_D: -0.024499 Loss_G: -0.001338 Loss_D_real: -0.014074 Loss_D_fake 0.010425
[717/5000][155/535][73794] Loss_D: -0.022474 Loss_G: 0.018207 Loss_D_real: -0.025040 Loss_D_fake -0.002565
[717/5000][160/535][73795] Loss_D: -0.023408 Loss_G: 0.025067 Loss_D_real: -0.029206 Loss_D_fake -0.005798
[717/5000][165/535][73796] Loss_D: -0.022311 Loss_G: 0.009221 Loss_D_real: -0.013316 Loss_D_fake 0.008995
[717/5000][170/535][73797] Loss_D: -0.023228 Loss_G: 0.004841 Loss_D_real: -0.022698 Loss_D_fake 0.000531
[717/5000][175/535][73798] Loss_D: -0.023095 Loss_G: -0.006638 Loss_D_real: -0.013778 Loss_D_fake 0.009317
[717/5000][180/535][73799] Loss_D: -0.024540 Loss_G: 0.015457 Loss_D_real: -0.023405 Loss_D_fake 0.001135
[717/5000][185/535][73800] Loss_D: -0.022462 Loss_G: 0.018780 Loss_D_real: -0.031447 Loss_D_fake -0.008985
[717/5000][190/535][73801] Loss_D: -0.023469 Loss_G: 0.004451 Loss_D_real: -0.029851 Loss_D_fake -0.006382
[717/5000][195/535][73802] Loss_D: -0.024241 Loss_G: 0.029367 Loss_D_real: -0.023203 Loss_D_fake 0.001039
[717/5000][200/535][73803] Loss_D: -0.024269 Loss_G: -0.000913 Loss_D_real: -0.004832 Loss_D_fake 0.019438
[717/5000][205/535][73804] Loss_D: -0.023855 Loss_G: 0.017446 Loss_D_real: -0.026093 Loss_D_fake -0.002238
[717/5000][210/535][73805] Loss_D: -0.024008 Loss_G: 0.002455 Loss_D_real: -0.012102 Loss_D_fake 0.011906
[717/5000][215/535][73806] Loss_D: -0.024000 Loss_G: 0.014501 Loss_D_real: -0.028984 Loss_D_fake -0.004984
[717/5000][220/535][73807] Loss_D: -0.023857 Loss_G: 0.021258 Loss_D_real: -0.028489 Loss_D_fake -0.004632
[717/5000][225/535][73808] Loss_D: -0.025935 Loss_G: 0.020872 Loss_D_real: -0.024304 Loss_D_fake 0.001631
[717/5000][230/535][73809] Loss_D: -0.024291 Loss_G: -0.000033 Loss_D_real: -0.015174 Loss_D_fake 0.009117
[717/5000][235/535][73810] Loss_D: -0.024478 Loss_G: 0.025239 Loss_D_real: -0.024253 Loss_D_fake 0.000224
[717/5000][240/535][73811] Loss_D: -0.023955 Loss_G: 0.011493 Loss_D_real: -0.021441 Loss_D_fake 0.002513
[717/5000][245/535][73812] Loss_D: -0.024905 Loss_G: -0.003150 Loss_D_real: -0.006997 Loss_D_fake 0.017908
[717/5000][250/535][73813] Loss_D: -0.024853 Loss_G: 0.000596 Loss_D_real: -0.001330 Loss_D_fake 0.023523
[717/5000][255/535][73814] Loss_D: -0.022783 Loss_G: 0.027072 Loss_D_real: -0.033744 Loss_D_fake -0.010961
[717/5000][260/535][73815] Loss_D: -0.025509 Loss_G: 0.002620 Loss_D_real: -0.013816 Loss_D_fake 0.011692
[717/5000][265/535][73816] Loss_D: -0.025402 Loss_G: 0.009623 Loss_D_real: -0.018315 Loss_D_fake 0.007088
[717/5000][270/535][73817] Loss_D: -0.023288 Loss_G: 0.023073 Loss_D_real: -0.028424 Loss_D_fake -0.005136
[717/5000][275/535][73818] Loss_D: -0.025911 Loss_G: -0.002253 Loss_D_real: -0.006200 Loss_D_fake 0.019710
[717/5000][280/535][73819] Loss_D: -0.025088 Loss_G: 0.033648 Loss_D_real: -0.022962 Loss_D_fake 0.002125
[717/5000][285/535][73820] Loss_D: -0.025026 Loss_G: 0.030722 Loss_D_real: -0.026790 Loss_D_fake -0.001764
[717/5000][290/535][73821] Loss_D: -0.023947 Loss_G: 0.015789 Loss_D_real: -0.027194 Loss_D_fake -0.003247
[717/5000][295/535][73822] Loss_D: -0.025225 Loss_G: 0.016684 Loss_D_real: -0.032549 Loss_D_fake -0.007324
[717/5000][300/535][73823] Loss_D: -0.024640 Loss_G: 0.018891 Loss_D_real: -0.015105 Loss_D_fake 0.009535
[717/5000][305/535][73824] Loss_D: -0.024454 Loss_G: 0.011096 Loss_D_real: -0.014217 Loss_D_fake 0.010238
[717/5000][310/535][73825] Loss_D: -0.024517 Loss_G: -0.001156 Loss_D_real: -0.018477 Loss_D_fake 0.006040
[717/5000][315/535][73826] Loss_D: -0.025177 Loss_G: 0.011169 Loss_D_real: -0.020782 Loss_D_fake 0.004396
[717/5000][320/535][73827] Loss_D: -0.024267 Loss_G: 0.013637 Loss_D_real: -0.024829 Loss_D_fake -0.000563
[717/5000][325/535][73828] Loss_D: -0.023673 Loss_G: 0.026836 Loss_D_real: -0.036263 Loss_D_fake -0.012590
[717/5000][330/535][73829] Loss_D: -0.025053 Loss_G: 0.019223 Loss_D_real: -0.015846 Loss_D_fake 0.009207
[717/5000][335/535][73830] Loss_D: -0.025714 Loss_G: 0.018828 Loss_D_real: -0.019201 Loss_D_fake 0.006513
[717/5000][340/535][73831] Loss_D: -0.023442 Loss_G: 0.017516 Loss_D_real: -0.024314 Loss_D_fake -0.000872
[717/5000][345/535][73832] Loss_D: -0.025160 Loss_G: 0.008761 Loss_D_real: -0.018569 Loss_D_fake 0.006590
[717/5000][350/535][73833] Loss_D: -0.022745 Loss_G: -0.011009 Loss_D_real: 0.001651 Loss_D_fake 0.024396
[717/5000][355/535][73834] Loss_D: -0.023411 Loss_G: 0.013822 Loss_D_real: -0.018611 Loss_D_fake 0.004800
[717/5000][360/535][73835] Loss_D: -0.023256 Loss_G: 0.015853 Loss_D_real: -0.025022 Loss_D_fake -0.001765
[717/5000][365/535][73836] Loss_D: -0.022700 Loss_G: 0.020159 Loss_D_real: -0.030147 Loss_D_fake -0.007447
[717/5000][370/535][73837] Loss_D: -0.024362 Loss_G: 0.018031 Loss_D_real: -0.022999 Loss_D_fake 0.001364
[717/5000][375/535][73838] Loss_D: -0.023193 Loss_G: 0.017908 Loss_D_real: -0.014590 Loss_D_fake 0.008603
[717/5000][380/535][73839] Loss_D: -0.023893 Loss_G: 0.014935 Loss_D_real: -0.016048 Loss_D_fake 0.007845
[717/5000][385/535][73840] Loss_D: -0.021617 Loss_G: 0.031619 Loss_D_real: -0.044829 Loss_D_fake -0.023213
[717/5000][390/535][73841] Loss_D: -0.023547 Loss_G: -0.007041 Loss_D_real: -0.005430 Loss_D_fake 0.018116
[717/5000][395/535][73842] Loss_D: -0.023227 Loss_G: -0.013014 Loss_D_real: -0.001430 Loss_D_fake 0.021798
[717/5000][400/535][73843] Loss_D: -0.023383 Loss_G: 0.002452 Loss_D_real: -0.022204 Loss_D_fake 0.001178
[717/5000][405/535][73844] Loss_D: -0.025456 Loss_G: 0.013116 Loss_D_real: -0.019713 Loss_D_fake 0.005743
[717/5000][410/535][73845] Loss_D: -0.023451 Loss_G: -0.009282 Loss_D_real: -0.001476 Loss_D_fake 0.021975
[717/5000][415/535][73846] Loss_D: -0.024136 Loss_G: 0.009974 Loss_D_real: -0.020310 Loss_D_fake 0.003826
[717/5000][420/535][73847] Loss_D: -0.022993 Loss_G: -0.009385 Loss_D_real: -0.009600 Loss_D_fake 0.013393
[717/5000][425/535][73848] Loss_D: -0.023775 Loss_G: 0.022388 Loss_D_real: -0.018007 Loss_D_fake 0.005768
[717/5000][430/535][73849] Loss_D: -0.024557 Loss_G: 0.002994 Loss_D_real: -0.025708 Loss_D_fake -0.001151
[717/5000][435/535][73850] Loss_D: -0.023597 Loss_G: 0.011739 Loss_D_real: -0.024890 Loss_D_fake -0.001293
[717/5000][440/535][73851] Loss_D: -0.024865 Loss_G: 0.014540 Loss_D_real: -0.017410 Loss_D_fake 0.007455
[717/5000][445/535][73852] Loss_D: -0.025068 Loss_G: 0.003589 Loss_D_real: -0.023211 Loss_D_fake 0.001857
[717/5000][450/535][73853] Loss_D: -0.022880 Loss_G: 0.018922 Loss_D_real: -0.031753 Loss_D_fake -0.008874
[717/5000][455/535][73854] Loss_D: -0.023767 Loss_G: 0.001543 Loss_D_real: -0.011273 Loss_D_fake 0.012494
[717/5000][460/535][73855] Loss_D: -0.022074 Loss_G: -0.005695 Loss_D_real: -0.003221 Loss_D_fake 0.018854
[717/5000][465/535][73856] Loss_D: -0.023607 Loss_G: 0.003702 Loss_D_real: -0.029979 Loss_D_fake -0.006372
[717/5000][470/535][73857] Loss_D: -0.025387 Loss_G: 0.008165 Loss_D_real: -0.017451 Loss_D_fake 0.007936
[717/5000][475/535][73858] Loss_D: -0.025486 Loss_G: 0.014604 Loss_D_real: -0.013157 Loss_D_fake 0.012329
[717/5000][480/535][73859] Loss_D: -0.023801 Loss_G: 0.014688 Loss_D_real: -0.018925 Loss_D_fake 0.004876
[717/5000][485/535][73860] Loss_D: -0.022957 Loss_G: -0.004984 Loss_D_real: 0.001069 Loss_D_fake 0.024026
[717/5000][490/535][73861] Loss_D: -0.023221 Loss_G: 0.029399 Loss_D_real: -0.031960 Loss_D_fake -0.008739
[717/5000][495/535][73862] Loss_D: -0.024115 Loss_G: -0.009849 Loss_D_real: -0.003764 Loss_D_fake 0.020351
[717/5000][500/535][73863] Loss_D: -0.023715 Loss_G: 0.015176 Loss_D_real: -0.022622 Loss_D_fake 0.001093
[717/5000][505/535][73864] Loss_D: -0.023201 Loss_G: 0.014889 Loss_D_real: -0.022843 Loss_D_fake 0.000358
[717/5000][510/535][73865] Loss_D: -0.022711 Loss_G: 0.026732 Loss_D_real: -0.039309 Loss_D_fake -0.016598
[717/5000][515/535][73866] Loss_D: -0.024877 Loss_G: 0.008472 Loss_D_real: -0.021172 Loss_D_fake 0.003705
[717/5000][520/535][73867] Loss_D: -0.024360 Loss_G: 0.020403 Loss_D_real: -0.024899 Loss_D_fake -0.000539
[717/5000][525/535][73868] Loss_D: -0.023148 Loss_G: 0.011368 Loss_D_real: -0.015464 Loss_D_fake 0.007684
[717/5000][530/535][73869] Loss_D: -0.023270 Loss_G: 0.006581 Loss_D_real: -0.007706 Loss_D_fake 0.015564
[717/5000][535/535][73870] Loss_D: -0.027345 Loss_G: 0.027616 Loss_D_real: -0.025204 Loss_D_fake 0.002141
[718/5000][5/535][73871] Loss_D: -0.024760 Loss_G: 0.004203 Loss_D_real: -0.024595 Loss_D_fake 0.000166
[718/5000][10/535][73872] Loss_D: -0.023174 Loss_G: 0.004368 Loss_D_real: -0.010440 Loss_D_fake 0.012734
[718/5000][15/535][73873] Loss_D: -0.023079 Loss_G: 0.022600 Loss_D_real: -0.018061 Loss_D_fake 0.005018
[718/5000][20/535][73874] Loss_D: -0.023966 Loss_G: 0.004368 Loss_D_real: -0.029282 Loss_D_fake -0.005317
[718/5000][25/535][73875] Loss_D: -0.025301 Loss_G: 0.015828 Loss_D_real: -0.027941 Loss_D_fake -0.002640
[718/5000][30/535][73876] Loss_D: -0.023205 Loss_G: 0.019133 Loss_D_real: -0.019357 Loss_D_fake 0.003848
[718/5000][35/535][73877] Loss_D: -0.024365 Loss_G: -0.010626 Loss_D_real: -0.010836 Loss_D_fake 0.013528
[718/5000][40/535][73878] Loss_D: -0.022487 Loss_G: -0.001436 Loss_D_real: -0.016638 Loss_D_fake 0.005849
[718/5000][45/535][73879] Loss_D: -0.023423 Loss_G: 0.006865 Loss_D_real: -0.022246 Loss_D_fake 0.001177
[718/5000][50/535][73880] Loss_D: -0.024508 Loss_G: 0.011864 Loss_D_real: -0.016883 Loss_D_fake 0.007625
[718/5000][55/535][73881] Loss_D: -0.023983 Loss_G: 0.017398 Loss_D_real: -0.036899 Loss_D_fake -0.012916
[718/5000][60/535][73882] Loss_D: -0.024654 Loss_G: 0.014717 Loss_D_real: -0.021775 Loss_D_fake 0.002878
[718/5000][65/535][73883] Loss_D: -0.024120 Loss_G: 0.021418 Loss_D_real: -0.033397 Loss_D_fake -0.009278
[718/5000][70/535][73884] Loss_D: -0.024313 Loss_G: 0.003882 Loss_D_real: -0.015420 Loss_D_fake 0.008892
[718/5000][75/535][73885] Loss_D: -0.025476 Loss_G: 0.011925 Loss_D_real: -0.018219 Loss_D_fake 0.007257
[718/5000][80/535][73886] Loss_D: -0.026053 Loss_G: 0.003274 Loss_D_real: -0.016536 Loss_D_fake 0.009517
[718/5000][85/535][73887] Loss_D: -0.025204 Loss_G: -0.000919 Loss_D_real: -0.010877 Loss_D_fake 0.014327
[718/5000][90/535][73888] Loss_D: -0.024797 Loss_G: 0.004921 Loss_D_real: -0.020819 Loss_D_fake 0.003978
[718/5000][95/535][73889] Loss_D: -0.025062 Loss_G: 0.001042 Loss_D_real: -0.009700 Loss_D_fake 0.015362
[718/5000][100/535][73890] Loss_D: -0.024704 Loss_G: 0.031341 Loss_D_real: -0.023222 Loss_D_fake 0.001482
[718/5000][105/535][73891] Loss_D: -0.026283 Loss_G: 0.001951 Loss_D_real: -0.009835 Loss_D_fake 0.016447
[718/5000][110/535][73892] Loss_D: -0.024576 Loss_G: 0.015022 Loss_D_real: -0.029964 Loss_D_fake -0.005388
[718/5000][115/535][73893] Loss_D: -0.024988 Loss_G: -0.005518 Loss_D_real: -0.008562 Loss_D_fake 0.016426
[718/5000][120/535][73894] Loss_D: -0.023435 Loss_G: 0.013283 Loss_D_real: -0.020985 Loss_D_fake 0.002450
[718/5000][125/535][73895] Loss_D: -0.024902 Loss_G: 0.021586 Loss_D_real: -0.031895 Loss_D_fake -0.006992
[718/5000][130/535][73896] Loss_D: -0.023960 Loss_G: 0.031405 Loss_D_real: -0.019372 Loss_D_fake 0.004588
[718/5000][135/535][73897] Loss_D: -0.023791 Loss_G: 0.000810 Loss_D_real: -0.010864 Loss_D_fake 0.012927
[718/5000][140/535][73898] Loss_D: -0.024349 Loss_G: 0.016695 Loss_D_real: -0.013799 Loss_D_fake 0.010550
[718/5000][145/535][73899] Loss_D: -0.022517 Loss_G: 0.013499 Loss_D_real: -0.026497 Loss_D_fake -0.003980
[718/5000][150/535][73900] Loss_D: -0.024475 Loss_G: -0.002023 Loss_D_real: -0.017334 Loss_D_fake 0.007141
[718/5000][155/535][73901] Loss_D: -0.025177 Loss_G: 0.009939 Loss_D_real: -0.011535 Loss_D_fake 0.013642
[718/5000][160/535][73902] Loss_D: -0.024644 Loss_G: 0.012422 Loss_D_real: -0.021682 Loss_D_fake 0.002963
[718/5000][165/535][73903] Loss_D: -0.023770 Loss_G: 0.029051 Loss_D_real: -0.027758 Loss_D_fake -0.003988
[718/5000][170/535][73904] Loss_D: -0.024035 Loss_G: 0.014991 Loss_D_real: -0.025612 Loss_D_fake -0.001578
[718/5000][175/535][73905] Loss_D: -0.022819 Loss_G: 0.001333 Loss_D_real: -0.008055 Loss_D_fake 0.014764
[718/5000][180/535][73906] Loss_D: -0.022821 Loss_G: 0.020904 Loss_D_real: -0.028161 Loss_D_fake -0.005340
[718/5000][185/535][73907] Loss_D: -0.023014 Loss_G: 0.033377 Loss_D_real: -0.037478 Loss_D_fake -0.014464
[718/5000][190/535][73908] Loss_D: -0.024379 Loss_G: -0.002212 Loss_D_real: -0.019292 Loss_D_fake 0.005087
[718/5000][195/535][73909] Loss_D: -0.023269 Loss_G: -0.000827 Loss_D_real: -0.005515 Loss_D_fake 0.017753
[718/5000][200/535][73910] Loss_D: -0.023591 Loss_G: 0.001168 Loss_D_real: -0.017685 Loss_D_fake 0.005906
[718/5000][205/535][73911] Loss_D: -0.023364 Loss_G: 0.000625 Loss_D_real: -0.016421 Loss_D_fake 0.006943
[718/5000][210/535][73912] Loss_D: -0.022695 Loss_G: -0.015302 Loss_D_real: 0.002837 Loss_D_fake 0.025532
[718/5000][215/535][73913] Loss_D: -0.022695 Loss_G: 0.022131 Loss_D_real: -0.041007 Loss_D_fake -0.018312
[718/5000][220/535][73914] Loss_D: -0.023629 Loss_G: 0.006851 Loss_D_real: -0.017240 Loss_D_fake 0.006389
[718/5000][225/535][73915] Loss_D: -0.024178 Loss_G: 0.004270 Loss_D_real: -0.017152 Loss_D_fake 0.007026
[718/5000][230/535][73916] Loss_D: -0.023788 Loss_G: 0.015030 Loss_D_real: -0.022062 Loss_D_fake 0.001725
[718/5000][235/535][73917] Loss_D: -0.024386 Loss_G: 0.000646 Loss_D_real: -0.000151 Loss_D_fake 0.024235
[718/5000][240/535][73918] Loss_D: -0.024622 Loss_G: 0.009668 Loss_D_real: -0.019007 Loss_D_fake 0.005614
[718/5000][245/535][73919] Loss_D: -0.023246 Loss_G: 0.032128 Loss_D_real: -0.034741 Loss_D_fake -0.011495
[718/5000][250/535][73920] Loss_D: -0.023694 Loss_G: 0.032047 Loss_D_real: -0.039116 Loss_D_fake -0.015423
[718/5000][255/535][73921] Loss_D: -0.024320 Loss_G: -0.002619 Loss_D_real: -0.001169 Loss_D_fake 0.023150
[718/5000][260/535][73922] Loss_D: -0.025283 Loss_G: -0.006798 Loss_D_real: -0.016419 Loss_D_fake 0.008865
[718/5000][265/535][73923] Loss_D: -0.026067 Loss_G: -0.005905 Loss_D_real: -0.016448 Loss_D_fake 0.009620
[718/5000][270/535][73924] Loss_D: -0.024910 Loss_G: 0.009524 Loss_D_real: -0.023583 Loss_D_fake 0.001327
[718/5000][275/535][73925] Loss_D: -0.023831 Loss_G: 0.027248 Loss_D_real: -0.033090 Loss_D_fake -0.009258
[718/5000][280/535][73926] Loss_D: -0.025226 Loss_G: 0.001895 Loss_D_real: -0.014883 Loss_D_fake 0.010343
[718/5000][285/535][73927] Loss_D: -0.025252 Loss_G: 0.012692 Loss_D_real: -0.028545 Loss_D_fake -0.003293
[718/5000][290/535][73928] Loss_D: -0.024660 Loss_G: 0.019480 Loss_D_real: -0.021387 Loss_D_fake 0.003273
[718/5000][295/535][73929] Loss_D: -0.023249 Loss_G: 0.015763 Loss_D_real: -0.022003 Loss_D_fake 0.001246
[718/5000][300/535][73930] Loss_D: -0.023025 Loss_G: 0.034296 Loss_D_real: -0.028391 Loss_D_fake -0.005367
[718/5000][305/535][73931] Loss_D: -0.023618 Loss_G: -0.007688 Loss_D_real: -0.009002 Loss_D_fake 0.014616
[718/5000][310/535][73932] Loss_D: -0.023062 Loss_G: 0.021911 Loss_D_real: -0.024633 Loss_D_fake -0.001572
[718/5000][315/535][73933] Loss_D: -0.022896 Loss_G: -0.015552 Loss_D_real: 0.002889 Loss_D_fake 0.025785
[718/5000][320/535][73934] Loss_D: -0.023462 Loss_G: 0.007080 Loss_D_real: -0.018371 Loss_D_fake 0.005092
[718/5000][325/535][73935] Loss_D: -0.024199 Loss_G: -0.005016 Loss_D_real: -0.022466 Loss_D_fake 0.001733
[718/5000][330/535][73936] Loss_D: -0.024676 Loss_G: -0.006232 Loss_D_real: -0.022144 Loss_D_fake 0.002531
[718/5000][335/535][73937] Loss_D: -0.024140 Loss_G: 0.020143 Loss_D_real: -0.019853 Loss_D_fake 0.004287
[718/5000][340/535][73938] Loss_D: -0.025066 Loss_G: 0.001772 Loss_D_real: -0.011891 Loss_D_fake 0.013175
[718/5000][345/535][73939] Loss_D: -0.025439 Loss_G: 0.003296 Loss_D_real: -0.019795 Loss_D_fake 0.005644
[718/5000][350/535][73940] Loss_D: -0.026365 Loss_G: 0.015640 Loss_D_real: -0.025443 Loss_D_fake 0.000922
[718/5000][355/535][73941] Loss_D: -0.023697 Loss_G: 0.005007 Loss_D_real: -0.003385 Loss_D_fake 0.020312
[718/5000][360/535][73942] Loss_D: -0.025195 Loss_G: 0.011533 Loss_D_real: -0.001124 Loss_D_fake 0.024070
[718/5000][365/535][73943] Loss_D: -0.023437 Loss_G: 0.021208 Loss_D_real: -0.032063 Loss_D_fake -0.008626
[718/5000][370/535][73944] Loss_D: -0.024667 Loss_G: -0.001482 Loss_D_real: -0.017221 Loss_D_fake 0.007446
[718/5000][375/535][73945] Loss_D: -0.023938 Loss_G: 0.022865 Loss_D_real: -0.029372 Loss_D_fake -0.005434
[718/5000][380/535][73946] Loss_D: -0.023954 Loss_G: 0.019662 Loss_D_real: -0.032230 Loss_D_fake -0.008276
[718/5000][385/535][73947] Loss_D: -0.023973 Loss_G: -0.001545 Loss_D_real: -0.011989 Loss_D_fake 0.011984
[718/5000][390/535][73948] Loss_D: -0.025510 Loss_G: 0.012073 Loss_D_real: -0.017707 Loss_D_fake 0.007803
[718/5000][395/535][73949] Loss_D: -0.023722 Loss_G: 0.022937 Loss_D_real: -0.025433 Loss_D_fake -0.001710
[718/5000][400/535][73950] Loss_D: -0.024798 Loss_G: 0.017415 Loss_D_real: -0.022777 Loss_D_fake 0.002021
[718/5000][405/535][73951] Loss_D: -0.024826 Loss_G: 0.002548 Loss_D_real: -0.015093 Loss_D_fake 0.009732
[718/5000][410/535][73952] Loss_D: -0.023364 Loss_G: 0.011930 Loss_D_real: -0.026003 Loss_D_fake -0.002639
[718/5000][415/535][73953] Loss_D: -0.021607 Loss_G: -0.024597 Loss_D_real: 0.006645 Loss_D_fake 0.028252
[718/5000][420/535][73954] Loss_D: -0.022902 Loss_G: 0.017054 Loss_D_real: -0.023185 Loss_D_fake -0.000283
[718/5000][425/535][73955] Loss_D: -0.023427 Loss_G: 0.007258 Loss_D_real: -0.012962 Loss_D_fake 0.010465
[718/5000][430/535][73956] Loss_D: -0.024265 Loss_G: 0.021312 Loss_D_real: -0.028184 Loss_D_fake -0.003919
[718/5000][435/535][73957] Loss_D: -0.025085 Loss_G: 0.008555 Loss_D_real: -0.011989 Loss_D_fake 0.013096
[718/5000][440/535][73958] Loss_D: -0.023710 Loss_G: 0.004040 Loss_D_real: -0.012550 Loss_D_fake 0.011160
[718/5000][445/535][73959] Loss_D: -0.024807 Loss_G: -0.000185 Loss_D_real: -0.006443 Loss_D_fake 0.018364
[718/5000][450/535][73960] Loss_D: -0.023052 Loss_G: 0.020695 Loss_D_real: -0.030254 Loss_D_fake -0.007202
[718/5000][455/535][73961] Loss_D: -0.024609 Loss_G: 0.001239 Loss_D_real: -0.017134 Loss_D_fake 0.007475
[718/5000][460/535][73962] Loss_D: -0.023351 Loss_G: 0.017161 Loss_D_real: -0.025647 Loss_D_fake -0.002296
[718/5000][465/535][73963] Loss_D: -0.024452 Loss_G: -0.001694 Loss_D_real: -0.007858 Loss_D_fake 0.016594
[718/5000][470/535][73964] Loss_D: -0.024313 Loss_G: 0.003847 Loss_D_real: -0.010525 Loss_D_fake 0.013788
[718/5000][475/535][73965] Loss_D: -0.024793 Loss_G: 0.021085 Loss_D_real: -0.022036 Loss_D_fake 0.002757
[718/5000][480/535][73966] Loss_D: -0.024185 Loss_G: 0.006033 Loss_D_real: -0.017134 Loss_D_fake 0.007052
[718/5000][485/535][73967] Loss_D: -0.024657 Loss_G: 0.009390 Loss_D_real: -0.025120 Loss_D_fake -0.000463
[718/5000][490/535][73968] Loss_D: -0.023479 Loss_G: 0.017752 Loss_D_real: -0.028748 Loss_D_fake -0.005269
[718/5000][495/535][73969] Loss_D: -0.024319 Loss_G: 0.006728 Loss_D_real: -0.011367 Loss_D_fake 0.012952
[718/5000][500/535][73970] Loss_D: -0.024880 Loss_G: 0.011736 Loss_D_real: -0.021975 Loss_D_fake 0.002905
[718/5000][505/535][73971] Loss_D: -0.023883 Loss_G: 0.028093 Loss_D_real: -0.023280 Loss_D_fake 0.000603
[718/5000][510/535][73972] Loss_D: -0.022686 Loss_G: 0.007882 Loss_D_real: -0.021890 Loss_D_fake 0.000796
[718/5000][515/535][73973] Loss_D: -0.023962 Loss_G: 0.010156 Loss_D_real: -0.029158 Loss_D_fake -0.005196
[718/5000][520/535][73974] Loss_D: -0.024467 Loss_G: -0.020055 Loss_D_real: -0.003682 Loss_D_fake 0.020785
[718/5000][525/535][73975] Loss_D: -0.022849 Loss_G: 0.010020 Loss_D_real: -0.023808 Loss_D_fake -0.000959
[718/5000][530/535][73976] Loss_D: -0.024892 Loss_G: 0.001114 Loss_D_real: -0.012959 Loss_D_fake 0.011934
[718/5000][535/535][73977] Loss_D: -0.023962 Loss_G: 0.020358 Loss_D_real: -0.022697 Loss_D_fake 0.001264
[719/5000][5/535][73978] Loss_D: -0.021936 Loss_G: 0.033118 Loss_D_real: -0.035625 Loss_D_fake -0.013689
[719/5000][10/535][73979] Loss_D: -0.023871 Loss_G: 0.019514 Loss_D_real: -0.020097 Loss_D_fake 0.003774
[719/5000][15/535][73980] Loss_D: -0.023627 Loss_G: -0.008620 Loss_D_real: -0.014612 Loss_D_fake 0.009015
[719/5000][20/535][73981] Loss_D: -0.025402 Loss_G: 0.007831 Loss_D_real: -0.005331 Loss_D_fake 0.020071
[719/5000][25/535][73982] Loss_D: -0.024004 Loss_G: 0.008690 Loss_D_real: -0.027808 Loss_D_fake -0.003805
[719/5000][30/535][73983] Loss_D: -0.022804 Loss_G: 0.026634 Loss_D_real: -0.034743 Loss_D_fake -0.011939
[719/5000][35/535][73984] Loss_D: -0.023341 Loss_G: -0.010578 Loss_D_real: -0.000831 Loss_D_fake 0.022510
[719/5000][40/535][73985] Loss_D: -0.022037 Loss_G: 0.004434 Loss_D_real: -0.014505 Loss_D_fake 0.007532
[719/5000][45/535][73986] Loss_D: -0.024024 Loss_G: -0.017111 Loss_D_real: -0.003907 Loss_D_fake 0.020117
[719/5000][50/535][73987] Loss_D: -0.023829 Loss_G: 0.006936 Loss_D_real: -0.020336 Loss_D_fake 0.003493
[719/5000][55/535][73988] Loss_D: -0.023974 Loss_G: -0.002130 Loss_D_real: -0.019961 Loss_D_fake 0.004013
[719/5000][60/535][73989] Loss_D: -0.023340 Loss_G: 0.035536 Loss_D_real: -0.029939 Loss_D_fake -0.006599
[719/5000][65/535][73990] Loss_D: -0.023701 Loss_G: 0.024560 Loss_D_real: -0.027013 Loss_D_fake -0.003311
[719/5000][70/535][73991] Loss_D: -0.024311 Loss_G: 0.006586 Loss_D_real: -0.010626 Loss_D_fake 0.013686
[719/5000][75/535][73992] Loss_D: -0.024333 Loss_G: 0.005094 Loss_D_real: -0.018977 Loss_D_fake 0.005356
[719/5000][80/535][73993] Loss_D: -0.023093 Loss_G: 0.010489 Loss_D_real: -0.017935 Loss_D_fake 0.005158
[719/5000][85/535][73994] Loss_D: -0.024735 Loss_G: 0.012457 Loss_D_real: -0.019223 Loss_D_fake 0.005512
[719/5000][90/535][73995] Loss_D: -0.024176 Loss_G: 0.007455 Loss_D_real: -0.015947 Loss_D_fake 0.008229
[719/5000][95/535][73996] Loss_D: -0.023128 Loss_G: 0.023550 Loss_D_real: -0.029617 Loss_D_fake -0.006489
[719/5000][100/535][73997] Loss_D: -0.024536 Loss_G: 0.006570 Loss_D_real: -0.011989 Loss_D_fake 0.012547
[719/5000][105/535][73998] Loss_D: -0.024576 Loss_G: -0.002834 Loss_D_real: -0.014359 Loss_D_fake 0.010217
[719/5000][110/535][73999] Loss_D: -0.025357 Loss_G: 0.010889 Loss_D_real: -0.017193 Loss_D_fake 0.008164
[719/5000][115/535][74000] Loss_D: -0.024198 Loss_G: 0.012700 Loss_D_real: -0.015570 Loss_D_fake 0.008628
[719/5000][215/535][74001] Loss_D: -0.025974 Loss_G: 0.030829 Loss_D_real: -0.042024 Loss_D_fake -0.016050
[719/5000][220/535][74002] Loss_D: -0.023170 Loss_G: -0.003356 Loss_D_real: -0.003296 Loss_D_fake 0.019874
[719/5000][225/535][74003] Loss_D: -0.022612 Loss_G: 0.020175 Loss_D_real: -0.022744 Loss_D_fake -0.000132
[719/5000][230/535][74004] Loss_D: -0.022174 Loss_G: -0.001101 Loss_D_real: -0.012952 Loss_D_fake 0.009222
[719/5000][235/535][74005] Loss_D: -0.022659 Loss_G: 0.022585 Loss_D_real: -0.019702 Loss_D_fake 0.002957
[719/5000][240/535][74006] Loss_D: -0.023480 Loss_G: 0.010679 Loss_D_real: -0.032046 Loss_D_fake -0.008566
[719/5000][245/535][74007] Loss_D: -0.022900 Loss_G: 0.009506 Loss_D_real: -0.014332 Loss_D_fake 0.008567
[719/5000][250/535][74008] Loss_D: -0.023397 Loss_G: 0.009391 Loss_D_real: -0.011841 Loss_D_fake 0.011557
[719/5000][255/535][74009] Loss_D: -0.024843 Loss_G: 0.007989 Loss_D_real: -0.017625 Loss_D_fake 0.007218
[719/5000][260/535][74010] Loss_D: -0.023891 Loss_G: 0.010650 Loss_D_real: -0.026339 Loss_D_fake -0.002448
[719/5000][265/535][74011] Loss_D: -0.024980 Loss_G: 0.014814 Loss_D_real: -0.027459 Loss_D_fake -0.002479
[719/5000][270/535][74012] Loss_D: -0.024143 Loss_G: -0.000864 Loss_D_real: -0.009667 Loss_D_fake 0.014476
[719/5000][275/535][74013] Loss_D: -0.022832 Loss_G: 0.023917 Loss_D_real: -0.018738 Loss_D_fake 0.004094
[719/5000][280/535][74014] Loss_D: -0.023500 Loss_G: 0.000264 Loss_D_real: -0.015486 Loss_D_fake 0.008013
[719/5000][285/535][74015] Loss_D: -0.023404 Loss_G: 0.022465 Loss_D_real: -0.023886 Loss_D_fake -0.000482
[719/5000][290/535][74016] Loss_D: -0.023709 Loss_G: -0.005197 Loss_D_real: -0.012748 Loss_D_fake 0.010961
[719/5000][295/535][74017] Loss_D: -0.021795 Loss_G: 0.035311 Loss_D_real: -0.036954 Loss_D_fake -0.015159
[719/5000][300/535][74018] Loss_D: -0.022995 Loss_G: -0.008061 Loss_D_real: -0.007322 Loss_D_fake 0.015673
[719/5000][305/535][74019] Loss_D: -0.023946 Loss_G: 0.024737 Loss_D_real: -0.028198 Loss_D_fake -0.004253
[719/5000][310/535][74020] Loss_D: -0.025064 Loss_G: -0.007310 Loss_D_real: -0.013233 Loss_D_fake 0.011830
[719/5000][315/535][74021] Loss_D: -0.022842 Loss_G: 0.021763 Loss_D_real: -0.025467 Loss_D_fake -0.002625
[719/5000][320/535][74022] Loss_D: -0.023840 Loss_G: 0.011574 Loss_D_real: -0.022061 Loss_D_fake 0.001779
[719/5000][325/535][74023] Loss_D: -0.025697 Loss_G: -0.007602 Loss_D_real: -0.018416 Loss_D_fake 0.007281
[719/5000][330/535][74024] Loss_D: -0.024185 Loss_G: 0.020777 Loss_D_real: -0.026555 Loss_D_fake -0.002371
[719/5000][335/535][74025] Loss_D: -0.024195 Loss_G: 0.007911 Loss_D_real: -0.024161 Loss_D_fake 0.000034
[719/5000][340/535][74026] Loss_D: -0.023526 Loss_G: 0.007169 Loss_D_real: -0.019402 Loss_D_fake 0.004124
[719/5000][345/535][74027] Loss_D: -0.024634 Loss_G: 0.006245 Loss_D_real: -0.015884 Loss_D_fake 0.008750
[719/5000][350/535][74028] Loss_D: -0.023588 Loss_G: 0.005434 Loss_D_real: -0.014784 Loss_D_fake 0.008804
[719/5000][355/535][74029] Loss_D: -0.023594 Loss_G: 0.001189 Loss_D_real: -0.023345 Loss_D_fake 0.000249
[719/5000][360/535][74030] Loss_D: -0.024147 Loss_G: -0.000070 Loss_D_real: -0.013539 Loss_D_fake 0.010608
[719/5000][365/535][74031] Loss_D: -0.023775 Loss_G: 0.021552 Loss_D_real: -0.025188 Loss_D_fake -0.001413
[719/5000][370/535][74032] Loss_D: -0.024417 Loss_G: -0.014070 Loss_D_real: -0.011105 Loss_D_fake 0.013312
[719/5000][375/535][74033] Loss_D: -0.023839 Loss_G: 0.028754 Loss_D_real: -0.025568 Loss_D_fake -0.001730
[719/5000][380/535][74034] Loss_D: -0.023033 Loss_G: 0.006400 Loss_D_real: -0.014729 Loss_D_fake 0.008304
[719/5000][385/535][74035] Loss_D: -0.022801 Loss_G: 0.010977 Loss_D_real: -0.030086 Loss_D_fake -0.007285
[719/5000][390/535][74036] Loss_D: -0.023967 Loss_G: 0.016486 Loss_D_real: -0.028043 Loss_D_fake -0.004076
[719/5000][395/535][74037] Loss_D: -0.024149 Loss_G: 0.018219 Loss_D_real: -0.026046 Loss_D_fake -0.001897
[719/5000][400/535][74038] Loss_D: -0.023757 Loss_G: 0.001655 Loss_D_real: -0.015314 Loss_D_fake 0.008443
[719/5000][405/535][74039] Loss_D: -0.023854 Loss_G: 0.013786 Loss_D_real: -0.026602 Loss_D_fake -0.002747
[719/5000][410/535][74040] Loss_D: -0.025038 Loss_G: 0.016977 Loss_D_real: -0.025924 Loss_D_fake -0.000886
[719/5000][415/535][74041] Loss_D: -0.023852 Loss_G: 0.000838 Loss_D_real: -0.014319 Loss_D_fake 0.009534
[719/5000][420/535][74042] Loss_D: -0.022720 Loss_G: 0.020685 Loss_D_real: -0.037938 Loss_D_fake -0.015218
[719/5000][425/535][74043] Loss_D: -0.024254 Loss_G: 0.004137 Loss_D_real: -0.023509 Loss_D_fake 0.000744
[719/5000][430/535][74044] Loss_D: -0.024203 Loss_G: 0.026452 Loss_D_real: -0.029356 Loss_D_fake -0.005153
[719/5000][435/535][74045] Loss_D: -0.024431 Loss_G: -0.001130 Loss_D_real: -0.007902 Loss_D_fake 0.016529
[719/5000][440/535][74046] Loss_D: -0.025366 Loss_G: -0.001999 Loss_D_real: -0.014287 Loss_D_fake 0.011079
[719/5000][445/535][74047] Loss_D: -0.023475 Loss_G: -0.028474 Loss_D_real: -0.007886 Loss_D_fake 0.015590
[719/5000][450/535][74048] Loss_D: -0.024955 Loss_G: 0.010767 Loss_D_real: -0.023734 Loss_D_fake 0.001221
[719/5000][455/535][74049] Loss_D: -0.024055 Loss_G: 0.014455 Loss_D_real: -0.019010 Loss_D_fake 0.005045
[719/5000][460/535][74050] Loss_D: -0.024244 Loss_G: 0.029228 Loss_D_real: -0.036819 Loss_D_fake -0.012575
[719/5000][465/535][74051] Loss_D: -0.024618 Loss_G: 0.013322 Loss_D_real: -0.020268 Loss_D_fake 0.004350
[719/5000][470/535][74052] Loss_D: -0.025496 Loss_G: 0.023301 Loss_D_real: -0.037285 Loss_D_fake -0.011790
[719/5000][475/535][74053] Loss_D: -0.025260 Loss_G: 0.009191 Loss_D_real: -0.016710 Loss_D_fake 0.008551
[719/5000][480/535][74054] Loss_D: -0.024345 Loss_G: -0.001035 Loss_D_real: -0.022001 Loss_D_fake 0.002343
[719/5000][485/535][74055] Loss_D: -0.024210 Loss_G: 0.020939 Loss_D_real: -0.021106 Loss_D_fake 0.003104
[719/5000][490/535][74056] Loss_D: -0.025002 Loss_G: 0.014896 Loss_D_real: -0.025628 Loss_D_fake -0.000625
[719/5000][495/535][74057] Loss_D: -0.023380 Loss_G: 0.028824 Loss_D_real: -0.037511 Loss_D_fake -0.014132
[719/5000][500/535][74058] Loss_D: -0.025304 Loss_G: 0.014462 Loss_D_real: -0.031061 Loss_D_fake -0.005757
[719/5000][505/535][74059] Loss_D: -0.024807 Loss_G: 0.015803 Loss_D_real: -0.022179 Loss_D_fake 0.002628
[719/5000][510/535][74060] Loss_D: -0.023495 Loss_G: 0.021616 Loss_D_real: -0.027922 Loss_D_fake -0.004427
[719/5000][515/535][74061] Loss_D: -0.023884 Loss_G: -0.007267 Loss_D_real: -0.013571 Loss_D_fake 0.010313
[719/5000][520/535][74062] Loss_D: -0.024329 Loss_G: 0.004766 Loss_D_real: -0.013519 Loss_D_fake 0.010810
[719/5000][525/535][74063] Loss_D: -0.024671 Loss_G: 0.019538 Loss_D_real: -0.036140 Loss_D_fake -0.011469
[719/5000][530/535][74064] Loss_D: -0.024654 Loss_G: 0.011290 Loss_D_real: -0.014060 Loss_D_fake 0.010595
[719/5000][535/535][74065] Loss_D: -0.024630 Loss_G: -0.004333 Loss_D_real: -0.017261 Loss_D_fake 0.007369
[720/5000][5/535][74066] Loss_D: -0.024190 Loss_G: -0.009236 Loss_D_real: -0.006888 Loss_D_fake 0.017302
[720/5000][10/535][74067] Loss_D: -0.024754 Loss_G: 0.011569 Loss_D_real: -0.025316 Loss_D_fake -0.000562
[720/5000][15/535][74068] Loss_D: -0.024736 Loss_G: 0.030742 Loss_D_real: -0.030213 Loss_D_fake -0.005477
[720/5000][20/535][74069] Loss_D: -0.025071 Loss_G: 0.004270 Loss_D_real: -0.017251 Loss_D_fake 0.007820
[720/5000][25/535][74070] Loss_D: -0.022989 Loss_G: 0.028861 Loss_D_real: -0.029823 Loss_D_fake -0.006833
[720/5000][30/535][74071] Loss_D: -0.023610 Loss_G: 0.005995 Loss_D_real: -0.016627 Loss_D_fake 0.006983
[720/5000][35/535][74072] Loss_D: -0.024373 Loss_G: 0.010973 Loss_D_real: -0.022934 Loss_D_fake 0.001439
[720/5000][40/535][74073] Loss_D: -0.024503 Loss_G: 0.001466 Loss_D_real: -0.013837 Loss_D_fake 0.010667
[720/5000][45/535][74074] Loss_D: -0.022813 Loss_G: 0.011467 Loss_D_real: -0.019999 Loss_D_fake 0.002814
[720/5000][50/535][74075] Loss_D: -0.024018 Loss_G: 0.014275 Loss_D_real: -0.018492 Loss_D_fake 0.005527
[720/5000][55/535][74076] Loss_D: -0.024787 Loss_G: 0.009380 Loss_D_real: -0.013732 Loss_D_fake 0.011055
[720/5000][60/535][74077] Loss_D: -0.023604 Loss_G: 0.030555 Loss_D_real: -0.034215 Loss_D_fake -0.010611
[720/5000][65/535][74078] Loss_D: -0.024152 Loss_G: 0.019687 Loss_D_real: -0.034335 Loss_D_fake -0.010183
[720/5000][70/535][74079] Loss_D: -0.023187 Loss_G: 0.009510 Loss_D_real: -0.009384 Loss_D_fake 0.013803
[720/5000][75/535][74080] Loss_D: -0.023892 Loss_G: 0.009318 Loss_D_real: -0.023620 Loss_D_fake 0.000272
[720/5000][80/535][74081] Loss_D: -0.025185 Loss_G: 0.009671 Loss_D_real: -0.024599 Loss_D_fake 0.000585
[720/5000][85/535][74082] Loss_D: -0.022937 Loss_G: 0.006443 Loss_D_real: -0.017379 Loss_D_fake 0.005557
[720/5000][90/535][74083] Loss_D: -0.022966 Loss_G: 0.029399 Loss_D_real: -0.024286 Loss_D_fake -0.001320
[720/5000][95/535][74084] Loss_D: -0.023841 Loss_G: -0.006715 Loss_D_real: -0.000822 Loss_D_fake 0.023019
[720/5000][100/535][74085] Loss_D: -0.024594 Loss_G: 0.011903 Loss_D_real: -0.019232 Loss_D_fake 0.005362
[720/5000][105/535][74086] Loss_D: -0.023525 Loss_G: 0.019879 Loss_D_real: -0.014443 Loss_D_fake 0.009082
[720/5000][110/535][74087] Loss_D: -0.023169 Loss_G: 0.000736 Loss_D_real: -0.013420 Loss_D_fake 0.009750
[720/5000][115/535][74088] Loss_D: -0.024557 Loss_G: 0.020948 Loss_D_real: -0.018055 Loss_D_fake 0.006503
[720/5000][120/535][74089] Loss_D: -0.025612 Loss_G: 0.010280 Loss_D_real: -0.019236 Loss_D_fake 0.006376
[720/5000][125/535][74090] Loss_D: -0.024658 Loss_G: -0.013470 Loss_D_real: -0.013509 Loss_D_fake 0.011149
[720/5000][130/535][74091] Loss_D: -0.023995 Loss_G: 0.004728 Loss_D_real: -0.007251 Loss_D_fake 0.016744
[720/5000][135/535][74092] Loss_D: -0.024604 Loss_G: 0.013165 Loss_D_real: -0.021763 Loss_D_fake 0.002842
[720/5000][140/535][74093] Loss_D: -0.023113 Loss_G: 0.019396 Loss_D_real: -0.036181 Loss_D_fake -0.013069
[720/5000][145/535][74094] Loss_D: -0.024276 Loss_G: 0.013186 Loss_D_real: -0.027294 Loss_D_fake -0.003018
[720/5000][150/535][74095] Loss_D: -0.024645 Loss_G: 0.008581 Loss_D_real: -0.013783 Loss_D_fake 0.010862
[720/5000][155/535][74096] Loss_D: -0.023890 Loss_G: 0.030954 Loss_D_real: -0.035562 Loss_D_fake -0.011672
[720/5000][160/535][74097] Loss_D: -0.022937 Loss_G: 0.021136 Loss_D_real: -0.028807 Loss_D_fake -0.005869
[720/5000][165/535][74098] Loss_D: -0.024004 Loss_G: -0.004594 Loss_D_real: -0.010471 Loss_D_fake 0.013534
[720/5000][170/535][74099] Loss_D: -0.025009 Loss_G: 0.006660 Loss_D_real: -0.016879 Loss_D_fake 0.008131
[720/5000][175/535][74100] Loss_D: -0.023966 Loss_G: 0.006003 Loss_D_real: -0.015357 Loss_D_fake 0.008609
[720/5000][180/535][74101] Loss_D: -0.023748 Loss_G: 0.021795 Loss_D_real: -0.030026 Loss_D_fake -0.006278
[720/5000][185/535][74102] Loss_D: -0.023128 Loss_G: 0.028230 Loss_D_real: -0.029355 Loss_D_fake -0.006227
[720/5000][190/535][74103] Loss_D: -0.023851 Loss_G: 0.017650 Loss_D_real: -0.031934 Loss_D_fake -0.008082
[720/5000][195/535][74104] Loss_D: -0.022317 Loss_G: -0.015814 Loss_D_real: -0.004837 Loss_D_fake 0.017481
[720/5000][200/535][74105] Loss_D: -0.023304 Loss_G: 0.000554 Loss_D_real: -0.013016 Loss_D_fake 0.010288
[720/5000][205/535][74106] Loss_D: -0.024889 Loss_G: 0.016820 Loss_D_real: -0.026062 Loss_D_fake -0.001173
[720/5000][210/535][74107] Loss_D: -0.023790 Loss_G: -0.003237 Loss_D_real: -0.009385 Loss_D_fake 0.014405
[720/5000][215/535][74108] Loss_D: -0.022614 Loss_G: 0.007099 Loss_D_real: -0.015188 Loss_D_fake 0.007426
[720/5000][220/535][74109] Loss_D: -0.023840 Loss_G: 0.012483 Loss_D_real: -0.010684 Loss_D_fake 0.013156
[720/5000][225/535][74110] Loss_D: -0.023180 Loss_G: 0.009702 Loss_D_real: -0.023453 Loss_D_fake -0.000273
[720/5000][230/535][74111] Loss_D: -0.024506 Loss_G: 0.023548 Loss_D_real: -0.026617 Loss_D_fake -0.002111
[720/5000][235/535][74112] Loss_D: -0.024603 Loss_G: -0.003737 Loss_D_real: -0.013421 Loss_D_fake 0.011181
[720/5000][240/535][74113] Loss_D: -0.022553 Loss_G: 0.024858 Loss_D_real: -0.029820 Loss_D_fake -0.007267
[720/5000][245/535][74114] Loss_D: -0.021742 Loss_G: 0.013790 Loss_D_real: -0.030198 Loss_D_fake -0.008455
[720/5000][250/535][74115] Loss_D: -0.025270 Loss_G: 0.016076 Loss_D_real: -0.031113 Loss_D_fake -0.005843
[720/5000][255/535][74116] Loss_D: -0.023016 Loss_G: 0.007164 Loss_D_real: -0.022604 Loss_D_fake 0.000412
[720/5000][260/535][74117] Loss_D: -0.025463 Loss_G: 0.007754 Loss_D_real: -0.019039 Loss_D_fake 0.006424
[720/5000][265/535][74118] Loss_D: -0.025540 Loss_G: -0.000421 Loss_D_real: -0.006359 Loss_D_fake 0.019180
[720/5000][270/535][74119] Loss_D: -0.024372 Loss_G: -0.004513 Loss_D_real: -0.006081 Loss_D_fake 0.018291
[720/5000][275/535][74120] Loss_D: -0.022961 Loss_G: 0.025299 Loss_D_real: -0.041017 Loss_D_fake -0.018057
[720/5000][280/535][74121] Loss_D: -0.024573 Loss_G: 0.006214 Loss_D_real: -0.023600 Loss_D_fake 0.000973
[720/5000][285/535][74122] Loss_D: -0.025369 Loss_G: 0.007580 Loss_D_real: -0.021311 Loss_D_fake 0.004058
[720/5000][290/535][74123] Loss_D: -0.025290 Loss_G: 0.016739 Loss_D_real: -0.022992 Loss_D_fake 0.002299
[720/5000][295/535][74124] Loss_D: -0.023966 Loss_G: -0.004094 Loss_D_real: -0.013575 Loss_D_fake 0.010390
[720/5000][300/535][74125] Loss_D: -0.025092 Loss_G: 0.021621 Loss_D_real: -0.012034 Loss_D_fake 0.013058
[720/5000][305/535][74126] Loss_D: -0.024453 Loss_G: -0.005017 Loss_D_real: -0.013141 Loss_D_fake 0.011312
[720/5000][310/535][74127] Loss_D: -0.023791 Loss_G: 0.020270 Loss_D_real: -0.021329 Loss_D_fake 0.002463
[720/5000][315/535][74128] Loss_D: -0.024322 Loss_G: 0.007756 Loss_D_real: -0.021345 Loss_D_fake 0.002977
[720/5000][320/535][74129] Loss_D: -0.022193 Loss_G: 0.034652 Loss_D_real: -0.033641 Loss_D_fake -0.011448
[720/5000][325/535][74130] Loss_D: -0.022944 Loss_G: -0.007258 Loss_D_real: -0.010658 Loss_D_fake 0.012286
[720/5000][330/535][74131] Loss_D: -0.024500 Loss_G: 0.001455 Loss_D_real: -0.006498 Loss_D_fake 0.018003
[720/5000][335/535][74132] Loss_D: -0.024241 Loss_G: 0.008384 Loss_D_real: -0.007298 Loss_D_fake 0.016943
[720/5000][340/535][74133] Loss_D: -0.023552 Loss_G: 0.002928 Loss_D_real: -0.011882 Loss_D_fake 0.011670
[720/5000][345/535][74134] Loss_D: -0.024408 Loss_G: 0.004405 Loss_D_real: -0.019921 Loss_D_fake 0.004487
[720/5000][350/535][74135] Loss_D: -0.021778 Loss_G: 0.023682 Loss_D_real: -0.029817 Loss_D_fake -0.008038
[720/5000][355/535][74136] Loss_D: -0.023769 Loss_G: 0.019066 Loss_D_real: -0.028275 Loss_D_fake -0.004505
[720/5000][360/535][74137] Loss_D: -0.022642 Loss_G: -0.006768 Loss_D_real: -0.008512 Loss_D_fake 0.014129
[720/5000][365/535][74138] Loss_D: -0.024956 Loss_G: 0.014038 Loss_D_real: -0.012503 Loss_D_fake 0.012453
[720/5000][370/535][74139] Loss_D: -0.025658 Loss_G: 0.009458 Loss_D_real: -0.015408 Loss_D_fake 0.010251
[720/5000][375/535][74140] Loss_D: -0.023617 Loss_G: 0.027846 Loss_D_real: -0.036426 Loss_D_fake -0.012809
[720/5000][380/535][74141] Loss_D: -0.023523 Loss_G: -0.004761 Loss_D_real: -0.016155 Loss_D_fake 0.007367
[720/5000][385/535][74142] Loss_D: -0.024370 Loss_G: 0.005915 Loss_D_real: -0.008105 Loss_D_fake 0.016265
[720/5000][390/535][74143] Loss_D: -0.023435 Loss_G: 0.006192 Loss_D_real: -0.016425 Loss_D_fake 0.007009
[720/5000][395/535][74144] Loss_D: -0.023351 Loss_G: 0.022313 Loss_D_real: -0.042874 Loss_D_fake -0.019524
[720/5000][400/535][74145] Loss_D: -0.022675 Loss_G: 0.017580 Loss_D_real: -0.031567 Loss_D_fake -0.008892
[720/5000][405/535][74146] Loss_D: -0.023432 Loss_G: -0.010119 Loss_D_real: -0.000383 Loss_D_fake 0.023049
[720/5000][410/535][74147] Loss_D: -0.024065 Loss_G: 0.014998 Loss_D_real: -0.019431 Loss_D_fake 0.004634
[720/5000][415/535][74148] Loss_D: -0.024077 Loss_G: 0.028088 Loss_D_real: -0.037614 Loss_D_fake -0.013537
[720/5000][420/535][74149] Loss_D: -0.024237 Loss_G: 0.021036 Loss_D_real: -0.035245 Loss_D_fake -0.011008
[720/5000][425/535][74150] Loss_D: -0.023788 Loss_G: 0.005547 Loss_D_real: -0.014576 Loss_D_fake 0.009212
[720/5000][430/535][74151] Loss_D: -0.023493 Loss_G: 0.012773 Loss_D_real: -0.021377 Loss_D_fake 0.002116
[720/5000][435/535][74152] Loss_D: -0.023278 Loss_G: 0.004208 Loss_D_real: -0.015916 Loss_D_fake 0.007362
[720/5000][440/535][74153] Loss_D: -0.022704 Loss_G: 0.016983 Loss_D_real: -0.026346 Loss_D_fake -0.003642
[720/5000][445/535][74154] Loss_D: -0.024394 Loss_G: 0.001960 Loss_D_real: -0.009585 Loss_D_fake 0.014809
[720/5000][450/535][74155] Loss_D: -0.025465 Loss_G: 0.011874 Loss_D_real: -0.026380 Loss_D_fake -0.000915
[720/5000][455/535][74156] Loss_D: -0.023754 Loss_G: 0.017086 Loss_D_real: -0.033971 Loss_D_fake -0.010216
[720/5000][460/535][74157] Loss_D: -0.024074 Loss_G: 0.015186 Loss_D_real: -0.021029 Loss_D_fake 0.003045
[720/5000][465/535][74158] Loss_D: -0.023856 Loss_G: 0.017312 Loss_D_real: -0.021783 Loss_D_fake 0.002073
[720/5000][470/535][74159] Loss_D: -0.024503 Loss_G: -0.002900 Loss_D_real: -0.009700 Loss_D_fake 0.014803
[720/5000][475/535][74160] Loss_D: -0.023692 Loss_G: 0.006530 Loss_D_real: -0.016836 Loss_D_fake 0.006856
[720/5000][480/535][74161] Loss_D: -0.023455 Loss_G: 0.016019 Loss_D_real: -0.031248 Loss_D_fake -0.007792
[720/5000][485/535][74162] Loss_D: -0.024695 Loss_G: 0.014891 Loss_D_real: -0.022001 Loss_D_fake 0.002693
[720/5000][490/535][74163] Loss_D: -0.023592 Loss_G: 0.026974 Loss_D_real: -0.030544 Loss_D_fake -0.006952
[720/5000][495/535][74164] Loss_D: -0.023854 Loss_G: 0.003636 Loss_D_real: -0.023995 Loss_D_fake -0.000141
[720/5000][500/535][74165] Loss_D: -0.024800 Loss_G: 0.000626 Loss_D_real: -0.021855 Loss_D_fake 0.002945
[720/5000][505/535][74166] Loss_D: -0.025507 Loss_G: 0.018065 Loss_D_real: -0.018689 Loss_D_fake 0.006818
[720/5000][510/535][74167] Loss_D: -0.025335 Loss_G: 0.016033 Loss_D_real: -0.014882 Loss_D_fake 0.010453
[720/5000][515/535][74168] Loss_D: -0.023568 Loss_G: -0.003063 Loss_D_real: -0.005657 Loss_D_fake 0.017911
[720/5000][520/535][74169] Loss_D: -0.024506 Loss_G: 0.026386 Loss_D_real: -0.036987 Loss_D_fake -0.012480
[720/5000][525/535][74170] Loss_D: -0.024709 Loss_G: 0.020861 Loss_D_real: -0.021864 Loss_D_fake 0.002845
[720/5000][530/535][74171] Loss_D: -0.024346 Loss_G: 0.019091 Loss_D_real: -0.029720 Loss_D_fake -0.005374
[720/5000][535/535][74172] Loss_D: -0.025945 Loss_G: 0.032097 Loss_D_real: -0.019118 Loss_D_fake 0.006827
[721/5000][5/535][74173] Loss_D: -0.023476 Loss_G: 0.000520 Loss_D_real: -0.010675 Loss_D_fake 0.012802
[721/5000][10/535][74174] Loss_D: -0.024759 Loss_G: 0.011202 Loss_D_real: -0.020968 Loss_D_fake 0.003791
[721/5000][15/535][74175] Loss_D: -0.023914 Loss_G: -0.002689 Loss_D_real: -0.004203 Loss_D_fake 0.019711
[721/5000][20/535][74176] Loss_D: -0.023087 Loss_G: 0.010908 Loss_D_real: -0.017955 Loss_D_fake 0.005131
[721/5000][25/535][74177] Loss_D: -0.025577 Loss_G: 0.009510 Loss_D_real: -0.024345 Loss_D_fake 0.001231
[721/5000][30/535][74178] Loss_D: -0.024294 Loss_G: 0.018706 Loss_D_real: -0.027452 Loss_D_fake -0.003159
[721/5000][35/535][74179] Loss_D: -0.024427 Loss_G: -0.007825 Loss_D_real: -0.011879 Loss_D_fake 0.012548
[721/5000][40/535][74180] Loss_D: -0.023357 Loss_G: 0.016145 Loss_D_real: -0.022462 Loss_D_fake 0.000896
[721/5000][45/535][74181] Loss_D: -0.022959 Loss_G: 0.021480 Loss_D_real: -0.024693 Loss_D_fake -0.001734
[721/5000][50/535][74182] Loss_D: -0.024091 Loss_G: 0.012999 Loss_D_real: -0.026129 Loss_D_fake -0.002038
[721/5000][55/535][74183] Loss_D: -0.023151 Loss_G: 0.020658 Loss_D_real: -0.014184 Loss_D_fake 0.008967
[721/5000][60/535][74184] Loss_D: -0.023460 Loss_G: 0.010705 Loss_D_real: -0.022693 Loss_D_fake 0.000766
[721/5000][65/535][74185] Loss_D: -0.023346 Loss_G: 0.014339 Loss_D_real: -0.022504 Loss_D_fake 0.000842
[721/5000][70/535][74186] Loss_D: -0.025070 Loss_G: 0.006661 Loss_D_real: -0.014868 Loss_D_fake 0.010201
[721/5000][75/535][74187] Loss_D: -0.022776 Loss_G: -0.004918 Loss_D_real: -0.000590 Loss_D_fake 0.022186
[721/5000][80/535][74188] Loss_D: -0.025522 Loss_G: 0.003330 Loss_D_real: -0.024280 Loss_D_fake 0.001242
[721/5000][85/535][74189] Loss_D: -0.024959 Loss_G: 0.015931 Loss_D_real: -0.026412 Loss_D_fake -0.001453
[721/5000][90/535][74190] Loss_D: -0.024005 Loss_G: -0.009202 Loss_D_real: -0.013535 Loss_D_fake 0.010470
[721/5000][95/535][74191] Loss_D: -0.024710 Loss_G: 0.009884 Loss_D_real: -0.014381 Loss_D_fake 0.010329
[721/5000][100/535][74192] Loss_D: -0.026793 Loss_G: 0.002438 Loss_D_real: -0.016099 Loss_D_fake 0.010694
[721/5000][105/535][74193] Loss_D: -0.025563 Loss_G: 0.024553 Loss_D_real: -0.025867 Loss_D_fake -0.000304
[721/5000][110/535][74194] Loss_D: -0.024855 Loss_G: 0.002152 Loss_D_real: -0.010817 Loss_D_fake 0.014038
[721/5000][115/535][74195] Loss_D: -0.024738 Loss_G: -0.003763 Loss_D_real: -0.000610 Loss_D_fake 0.024128
[721/5000][120/535][74196] Loss_D: -0.022983 Loss_G: 0.004087 Loss_D_real: -0.032818 Loss_D_fake -0.009835
[721/5000][125/535][74197] Loss_D: -0.024313 Loss_G: -0.011592 Loss_D_real: -0.005382 Loss_D_fake 0.018931
[721/5000][130/535][74198] Loss_D: -0.023420 Loss_G: 0.002794 Loss_D_real: -0.020440 Loss_D_fake 0.002981
[721/5000][135/535][74199] Loss_D: -0.023234 Loss_G: 0.019011 Loss_D_real: -0.023875 Loss_D_fake -0.000641
[721/5000][140/535][74200] Loss_D: -0.024558 Loss_G: 0.025550 Loss_D_real: -0.033726 Loss_D_fake -0.009168
[721/5000][145/535][74201] Loss_D: -0.025739 Loss_G: 0.012585 Loss_D_real: -0.014066 Loss_D_fake 0.011673
[721/5000][150/535][74202] Loss_D: -0.024666 Loss_G: 0.001875 Loss_D_real: -0.012514 Loss_D_fake 0.012152
[721/5000][155/535][74203] Loss_D: -0.024187 Loss_G: 0.020671 Loss_D_real: -0.035871 Loss_D_fake -0.011685
[721/5000][160/535][74204] Loss_D: -0.023757 Loss_G: 0.026164 Loss_D_real: -0.030469 Loss_D_fake -0.006711
[721/5000][165/535][74205] Loss_D: -0.024026 Loss_G: 0.019354 Loss_D_real: -0.021403 Loss_D_fake 0.002624
[721/5000][170/535][74206] Loss_D: -0.025091 Loss_G: 0.028721 Loss_D_real: -0.027909 Loss_D_fake -0.002818
[721/5000][175/535][74207] Loss_D: -0.023979 Loss_G: 0.022959 Loss_D_real: -0.029086 Loss_D_fake -0.005107
[721/5000][180/535][74208] Loss_D: -0.022150 Loss_G: -0.004749 Loss_D_real: -0.009271 Loss_D_fake 0.012879
[721/5000][185/535][74209] Loss_D: -0.023933 Loss_G: 0.019364 Loss_D_real: -0.033885 Loss_D_fake -0.009953
[721/5000][190/535][74210] Loss_D: -0.024937 Loss_G: -0.014432 Loss_D_real: -0.021004 Loss_D_fake 0.003933
[721/5000][195/535][74211] Loss_D: -0.024328 Loss_G: -0.003764 Loss_D_real: 0.000503 Loss_D_fake 0.024831
[721/5000][200/535][74212] Loss_D: -0.024229 Loss_G: 0.012760 Loss_D_real: -0.019537 Loss_D_fake 0.004692
[721/5000][205/535][74213] Loss_D: -0.025684 Loss_G: -0.000922 Loss_D_real: -0.013411 Loss_D_fake 0.012273
[721/5000][210/535][74214] Loss_D: -0.023147 Loss_G: 0.000811 Loss_D_real: -0.012849 Loss_D_fake 0.010298
[721/5000][215/535][74215] Loss_D: -0.023760 Loss_G: 0.021054 Loss_D_real: -0.013349 Loss_D_fake 0.010411
[721/5000][220/535][74216] Loss_D: -0.022837 Loss_G: 0.024489 Loss_D_real: -0.030421 Loss_D_fake -0.007584
[721/5000][225/535][74217] Loss_D: -0.024292 Loss_G: 0.006637 Loss_D_real: -0.013878 Loss_D_fake 0.010414
[721/5000][230/535][74218] Loss_D: -0.023472 Loss_G: 0.010431 Loss_D_real: -0.021221 Loss_D_fake 0.002251
[721/5000][235/535][74219] Loss_D: -0.021935 Loss_G: -0.002609 Loss_D_real: -0.004077 Loss_D_fake 0.017859
[721/5000][240/535][74220] Loss_D: -0.024016 Loss_G: 0.007970 Loss_D_real: -0.018755 Loss_D_fake 0.005262
[721/5000][245/535][74221] Loss_D: -0.023885 Loss_G: 0.007491 Loss_D_real: -0.014150 Loss_D_fake 0.009735
[721/5000][250/535][74222] Loss_D: -0.024676 Loss_G: 0.021914 Loss_D_real: -0.021316 Loss_D_fake 0.003360
[721/5000][255/535][74223] Loss_D: -0.023755 Loss_G: -0.006132 Loss_D_real: -0.008951 Loss_D_fake 0.014804
[721/5000][260/535][74224] Loss_D: -0.024059 Loss_G: 0.017219 Loss_D_real: -0.026826 Loss_D_fake -0.002767
[721/5000][265/535][74225] Loss_D: -0.025418 Loss_G: -0.004127 Loss_D_real: -0.023482 Loss_D_fake 0.001937
[721/5000][270/535][74226] Loss_D: -0.024584 Loss_G: 0.020387 Loss_D_real: -0.019948 Loss_D_fake 0.004637
[721/5000][275/535][74227] Loss_D: -0.024707 Loss_G: 0.019781 Loss_D_real: -0.032230 Loss_D_fake -0.007523
[721/5000][280/535][74228] Loss_D: -0.024551 Loss_G: 0.010793 Loss_D_real: -0.021453 Loss_D_fake 0.003098
[721/5000][285/535][74229] Loss_D: -0.022900 Loss_G: -0.000063 Loss_D_real: -0.018322 Loss_D_fake 0.004578
[721/5000][290/535][74230] Loss_D: -0.024847 Loss_G: 0.008326 Loss_D_real: -0.012187 Loss_D_fake 0.012660
[721/5000][295/535][74231] Loss_D: -0.024218 Loss_G: 0.013876 Loss_D_real: -0.019157 Loss_D_fake 0.005062
[721/5000][300/535][74232] Loss_D: -0.023127 Loss_G: 0.021281 Loss_D_real: -0.032471 Loss_D_fake -0.009344
[721/5000][305/535][74233] Loss_D: -0.024772 Loss_G: 0.015316 Loss_D_real: -0.018362 Loss_D_fake 0.006410
[721/5000][310/535][74234] Loss_D: -0.023345 Loss_G: -0.015454 Loss_D_real: -0.004298 Loss_D_fake 0.019048
[721/5000][315/535][74235] Loss_D: -0.022416 Loss_G: 0.004004 Loss_D_real: -0.026380 Loss_D_fake -0.003965
[721/5000][320/535][74236] Loss_D: -0.023133 Loss_G: 0.011603 Loss_D_real: -0.014096 Loss_D_fake 0.009037
[721/5000][325/535][74237] Loss_D: -0.023179 Loss_G: 0.023429 Loss_D_real: -0.023724 Loss_D_fake -0.000545
[721/5000][330/535][74238] Loss_D: -0.024737 Loss_G: 0.007083 Loss_D_real: -0.000126 Loss_D_fake 0.024610
[721/5000][335/535][74239] Loss_D: -0.021429 Loss_G: 0.011988 Loss_D_real: -0.016604 Loss_D_fake 0.004825
[721/5000][340/535][74240] Loss_D: -0.023127 Loss_G: -0.010062 Loss_D_real: -0.007532 Loss_D_fake 0.015594
[721/5000][345/535][74241] Loss_D: -0.022800 Loss_G: 0.007818 Loss_D_real: -0.027303 Loss_D_fake -0.004503
[721/5000][350/535][74242] Loss_D: -0.024666 Loss_G: 0.000415 Loss_D_real: -0.025442 Loss_D_fake -0.000777
[721/5000][355/535][74243] Loss_D: -0.024533 Loss_G: 0.003311 Loss_D_real: -0.013118 Loss_D_fake 0.011415
[721/5000][360/535][74244] Loss_D: -0.025225 Loss_G: 0.007232 Loss_D_real: -0.014703 Loss_D_fake 0.010521
[721/5000][365/535][74245] Loss_D: -0.024571 Loss_G: 0.010552 Loss_D_real: -0.014101 Loss_D_fake 0.010470
[721/5000][370/535][74246] Loss_D: -0.022535 Loss_G: 0.011367 Loss_D_real: -0.024848 Loss_D_fake -0.002313
[721/5000][375/535][74247] Loss_D: -0.024394 Loss_G: 0.010126 Loss_D_real: -0.024545 Loss_D_fake -0.000151
[721/5000][380/535][74248] Loss_D: -0.023214 Loss_G: 0.019408 Loss_D_real: -0.022698 Loss_D_fake 0.000516
[721/5000][385/535][74249] Loss_D: -0.023561 Loss_G: 0.024781 Loss_D_real: -0.024740 Loss_D_fake -0.001179
[721/5000][390/535][74250] Loss_D: -0.024080 Loss_G: -0.000886 Loss_D_real: -0.011755 Loss_D_fake 0.012325
[721/5000][395/535][74251] Loss_D: -0.024659 Loss_G: 0.006050 Loss_D_real: -0.021544 Loss_D_fake 0.003115
[721/5000][400/535][74252] Loss_D: -0.023634 Loss_G: 0.018668 Loss_D_real: -0.028945 Loss_D_fake -0.005311
[721/5000][405/535][74253] Loss_D: -0.023966 Loss_G: -0.009050 Loss_D_real: -0.015179 Loss_D_fake 0.008788
[721/5000][410/535][74254] Loss_D: -0.024481 Loss_G: -0.004065 Loss_D_real: -0.013835 Loss_D_fake 0.010646
[721/5000][415/535][74255] Loss_D: -0.024590 Loss_G: 0.022623 Loss_D_real: -0.018447 Loss_D_fake 0.006143
[721/5000][420/535][74256] Loss_D: -0.023184 Loss_G: 0.035514 Loss_D_real: -0.035815 Loss_D_fake -0.012631
[721/5000][425/535][74257] Loss_D: -0.024114 Loss_G: 0.029776 Loss_D_real: -0.029178 Loss_D_fake -0.005065
[721/5000][430/535][74258] Loss_D: -0.023886 Loss_G: 0.004695 Loss_D_real: -0.021995 Loss_D_fake 0.001891
[721/5000][435/535][74259] Loss_D: -0.025624 Loss_G: 0.008805 Loss_D_real: -0.015315 Loss_D_fake 0.010309
[721/5000][440/535][74260] Loss_D: -0.025799 Loss_G: 0.007835 Loss_D_real: -0.031232 Loss_D_fake -0.005433
[721/5000][445/535][74261] Loss_D: -0.024568 Loss_G: 0.013423 Loss_D_real: -0.020400 Loss_D_fake 0.004168
[721/5000][450/535][74262] Loss_D: -0.025205 Loss_G: 0.009742 Loss_D_real: -0.021991 Loss_D_fake 0.003214
[721/5000][455/535][74263] Loss_D: -0.024364 Loss_G: 0.013977 Loss_D_real: -0.022647 Loss_D_fake 0.001717
[721/5000][460/535][74264] Loss_D: -0.025365 Loss_G: 0.004243 Loss_D_real: -0.016102 Loss_D_fake 0.009263
[721/5000][465/535][74265] Loss_D: -0.025108 Loss_G: 0.013813 Loss_D_real: -0.032612 Loss_D_fake -0.007504
[721/5000][470/535][74266] Loss_D: -0.024040 Loss_G: 0.007848 Loss_D_real: -0.015659 Loss_D_fake 0.008381
[721/5000][475/535][74267] Loss_D: -0.024146 Loss_G: 0.025856 Loss_D_real: -0.032758 Loss_D_fake -0.008612
[721/5000][480/535][74268] Loss_D: -0.024711 Loss_G: 0.005579 Loss_D_real: -0.019529 Loss_D_fake 0.005182
[721/5000][485/535][74269] Loss_D: -0.024795 Loss_G: 0.007639 Loss_D_real: -0.019483 Loss_D_fake 0.005312
[721/5000][490/535][74270] Loss_D: -0.025085 Loss_G: 0.011565 Loss_D_real: -0.035569 Loss_D_fake -0.010485
[721/5000][495/535][74271] Loss_D: -0.025576 Loss_G: 0.006187 Loss_D_real: -0.021610 Loss_D_fake 0.003966
[721/5000][500/535][74272] Loss_D: -0.023612 Loss_G: 0.026917 Loss_D_real: -0.033381 Loss_D_fake -0.009768
[721/5000][505/535][74273] Loss_D: -0.025707 Loss_G: 0.001854 Loss_D_real: -0.018028 Loss_D_fake 0.007680
[721/5000][510/535][74274] Loss_D: -0.023333 Loss_G: -0.001364 Loss_D_real: -0.020296 Loss_D_fake 0.003037
[721/5000][515/535][74275] Loss_D: -0.023948 Loss_G: 0.011083 Loss_D_real: -0.024587 Loss_D_fake -0.000639
[721/5000][520/535][74276] Loss_D: -0.024236 Loss_G: 0.004882 Loss_D_real: -0.021755 Loss_D_fake 0.002481
[721/5000][525/535][74277] Loss_D: -0.024934 Loss_G: 0.016774 Loss_D_real: -0.020001 Loss_D_fake 0.004933
[721/5000][530/535][74278] Loss_D: -0.025199 Loss_G: -0.011307 Loss_D_real: -0.003623 Loss_D_fake 0.021577
[721/5000][535/535][74279] Loss_D: -0.020223 Loss_G: 0.032385 Loss_D_real: -0.030860 Loss_D_fake -0.010637
[722/5000][5/535][74280] Loss_D: -0.023858 Loss_G: 0.001437 Loss_D_real: -0.010720 Loss_D_fake 0.013138
[722/5000][10/535][74281] Loss_D: -0.023544 Loss_G: 0.009186 Loss_D_real: -0.026558 Loss_D_fake -0.003015
[722/5000][15/535][74282] Loss_D: -0.023223 Loss_G: 0.003088 Loss_D_real: -0.011978 Loss_D_fake 0.011245
[722/5000][20/535][74283] Loss_D: -0.024140 Loss_G: 0.011537 Loss_D_real: -0.016789 Loss_D_fake 0.007350
[722/5000][25/535][74284] Loss_D: -0.023058 Loss_G: -0.014074 Loss_D_real: 0.005477 Loss_D_fake 0.028535
[722/5000][30/535][74285] Loss_D: -0.024095 Loss_G: 0.013541 Loss_D_real: -0.022783 Loss_D_fake 0.001312
[722/5000][35/535][74286] Loss_D: -0.023007 Loss_G: 0.010044 Loss_D_real: -0.018504 Loss_D_fake 0.004503
[722/5000][40/535][74287] Loss_D: -0.023793 Loss_G: 0.003536 Loss_D_real: -0.020109 Loss_D_fake 0.003684
[722/5000][45/535][74288] Loss_D: -0.023176 Loss_G: 0.011908 Loss_D_real: -0.020510 Loss_D_fake 0.002665
[722/5000][50/535][74289] Loss_D: -0.024504 Loss_G: 0.009815 Loss_D_real: -0.022607 Loss_D_fake 0.001897
[722/5000][55/535][74290] Loss_D: -0.022486 Loss_G: 0.018212 Loss_D_real: -0.029778 Loss_D_fake -0.007292
[722/5000][60/535][74291] Loss_D: -0.023107 Loss_G: 0.023441 Loss_D_real: -0.030141 Loss_D_fake -0.007034
[722/5000][65/535][74292] Loss_D: -0.024116 Loss_G: 0.021320 Loss_D_real: -0.016523 Loss_D_fake 0.007592
[722/5000][70/535][74293] Loss_D: -0.023868 Loss_G: 0.014331 Loss_D_real: -0.024788 Loss_D_fake -0.000920
[722/5000][75/535][74294] Loss_D: -0.023781 Loss_G: 0.001033 Loss_D_real: -0.014696 Loss_D_fake 0.009085
[722/5000][80/535][74295] Loss_D: -0.024092 Loss_G: 0.013310 Loss_D_real: -0.022988 Loss_D_fake 0.001104
[722/5000][85/535][74296] Loss_D: -0.024641 Loss_G: 0.008424 Loss_D_real: -0.020842 Loss_D_fake 0.003798
[722/5000][90/535][74297] Loss_D: -0.024596 Loss_G: 0.008607 Loss_D_real: -0.018370 Loss_D_fake 0.006225
[722/5000][95/535][74298] Loss_D: -0.024571 Loss_G: 0.012178 Loss_D_real: -0.017516 Loss_D_fake 0.007055
[722/5000][100/535][74299] Loss_D: -0.022838 Loss_G: 0.012573 Loss_D_real: -0.020059 Loss_D_fake 0.002779
[722/5000][105/535][74300] Loss_D: -0.022636 Loss_G: -0.000120 Loss_D_real: -0.001975 Loss_D_fake 0.020661
[722/5000][110/535][74301] Loss_D: -0.023591 Loss_G: 0.007588 Loss_D_real: -0.024977 Loss_D_fake -0.001386
[722/5000][115/535][74302] Loss_D: -0.023785 Loss_G: 0.030704 Loss_D_real: -0.033667 Loss_D_fake -0.009883
[722/5000][120/535][74303] Loss_D: -0.023722 Loss_G: -0.009071 Loss_D_real: -0.005477 Loss_D_fake 0.018246
[722/5000][125/535][74304] Loss_D: -0.022626 Loss_G: 0.012614 Loss_D_real: -0.015635 Loss_D_fake 0.006991
[722/5000][130/535][74305] Loss_D: -0.022738 Loss_G: -0.010522 Loss_D_real: -0.006566 Loss_D_fake 0.016172
[722/5000][135/535][74306] Loss_D: -0.023433 Loss_G: 0.024343 Loss_D_real: -0.020220 Loss_D_fake 0.003213
[722/5000][140/535][74307] Loss_D: -0.027166 Loss_G: 0.008095 Loss_D_real: -0.020819 Loss_D_fake 0.006347
[722/5000][145/535][74308] Loss_D: -0.023907 Loss_G: -0.017418 Loss_D_real: -0.009591 Loss_D_fake 0.014316
[722/5000][150/535][74309] Loss_D: -0.024046 Loss_G: 0.020888 Loss_D_real: -0.029565 Loss_D_fake -0.005519
[722/5000][155/535][74310] Loss_D: -0.023631 Loss_G: 0.006162 Loss_D_real: -0.008355 Loss_D_fake 0.015275
[722/5000][160/535][74311] Loss_D: -0.024934 Loss_G: 0.018110 Loss_D_real: -0.033322 Loss_D_fake -0.008388
[722/5000][165/535][74312] Loss_D: -0.023845 Loss_G: 0.020538 Loss_D_real: -0.025728 Loss_D_fake -0.001883
[722/5000][170/535][74313] Loss_D: -0.025113 Loss_G: 0.012381 Loss_D_real: -0.015402 Loss_D_fake 0.009711
[722/5000][175/535][74314] Loss_D: -0.025102 Loss_G: 0.002485 Loss_D_real: -0.021610 Loss_D_fake 0.003492
[722/5000][180/535][74315] Loss_D: -0.022431 Loss_G: 0.027153 Loss_D_real: -0.040466 Loss_D_fake -0.018035
[722/5000][185/535][74316] Loss_D: -0.024283 Loss_G: 0.026897 Loss_D_real: -0.022267 Loss_D_fake 0.002017
[722/5000][190/535][74317] Loss_D: -0.024225 Loss_G: 0.004544 Loss_D_real: -0.013139 Loss_D_fake 0.011086
[722/5000][195/535][74318] Loss_D: -0.023520 Loss_G: -0.008193 Loss_D_real: -0.008554 Loss_D_fake 0.014966
[722/5000][200/535][74319] Loss_D: -0.023727 Loss_G: 0.016917 Loss_D_real: -0.028446 Loss_D_fake -0.004720
[722/5000][205/535][74320] Loss_D: -0.023775 Loss_G: 0.006968 Loss_D_real: -0.019691 Loss_D_fake 0.004084
[722/5000][210/535][74321] Loss_D: -0.024966 Loss_G: 0.009665 Loss_D_real: -0.020789 Loss_D_fake 0.004177
[722/5000][215/535][74322] Loss_D: -0.023555 Loss_G: 0.001998 Loss_D_real: -0.009153 Loss_D_fake 0.014403
[722/5000][220/535][74323] Loss_D: -0.022948 Loss_G: 0.033409 Loss_D_real: -0.042713 Loss_D_fake -0.019765
[722/5000][225/535][74324] Loss_D: -0.023621 Loss_G: 0.009325 Loss_D_real: -0.012246 Loss_D_fake 0.011375
[722/5000][230/535][74325] Loss_D: -0.023044 Loss_G: 0.015111 Loss_D_real: -0.017887 Loss_D_fake 0.005157
[722/5000][235/535][74326] Loss_D: -0.024098 Loss_G: 0.000654 Loss_D_real: -0.010921 Loss_D_fake 0.013177
[722/5000][240/535][74327] Loss_D: -0.023320 Loss_G: 0.017165 Loss_D_real: -0.025918 Loss_D_fake -0.002598
[722/5000][245/535][74328] Loss_D: -0.024480 Loss_G: 0.005974 Loss_D_real: -0.008603 Loss_D_fake 0.015877
[722/5000][250/535][74329] Loss_D: -0.023075 Loss_G: 0.023857 Loss_D_real: -0.023574 Loss_D_fake -0.000499
[722/5000][255/535][74330] Loss_D: -0.023617 Loss_G: 0.012367 Loss_D_real: -0.023499 Loss_D_fake 0.000118
[722/5000][260/535][74331] Loss_D: -0.023763 Loss_G: 0.004294 Loss_D_real: -0.012025 Loss_D_fake 0.011737
[722/5000][265/535][74332] Loss_D: -0.023758 Loss_G: 0.008954 Loss_D_real: -0.013877 Loss_D_fake 0.009881
[722/5000][270/535][74333] Loss_D: -0.024463 Loss_G: 0.011126 Loss_D_real: -0.032436 Loss_D_fake -0.007974
[722/5000][275/535][74334] Loss_D: -0.022853 Loss_G: -0.008452 Loss_D_real: 0.000605 Loss_D_fake 0.023458
[722/5000][280/535][74335] Loss_D: -0.022920 Loss_G: 0.026584 Loss_D_real: -0.028599 Loss_D_fake -0.005679
[722/5000][285/535][74336] Loss_D: -0.023578 Loss_G: 0.014165 Loss_D_real: -0.017403 Loss_D_fake 0.006175
[722/5000][290/535][74337] Loss_D: -0.023788 Loss_G: 0.007272 Loss_D_real: -0.015941 Loss_D_fake 0.007847
[722/5000][295/535][74338] Loss_D: -0.024062 Loss_G: 0.015232 Loss_D_real: -0.029437 Loss_D_fake -0.005375
[722/5000][300/535][74339] Loss_D: -0.024735 Loss_G: 0.002758 Loss_D_real: -0.011714 Loss_D_fake 0.013021
[722/5000][305/535][74340] Loss_D: -0.023937 Loss_G: -0.005704 Loss_D_real: -0.012350 Loss_D_fake 0.011587
[722/5000][310/535][74341] Loss_D: -0.022264 Loss_G: 0.029055 Loss_D_real: -0.030305 Loss_D_fake -0.008041
[722/5000][315/535][74342] Loss_D: -0.024365 Loss_G: 0.000829 Loss_D_real: -0.017628 Loss_D_fake 0.006737
[722/5000][320/535][74343] Loss_D: -0.024874 Loss_G: 0.014337 Loss_D_real: -0.007704 Loss_D_fake 0.017171
[722/5000][325/535][74344] Loss_D: -0.023793 Loss_G: 0.019948 Loss_D_real: -0.034114 Loss_D_fake -0.010321
[722/5000][330/535][74345] Loss_D: -0.025246 Loss_G: -0.007853 Loss_D_real: -0.008468 Loss_D_fake 0.016778
[722/5000][335/535][74346] Loss_D: -0.022794 Loss_G: 0.027065 Loss_D_real: -0.031034 Loss_D_fake -0.008241
[722/5000][340/535][74347] Loss_D: -0.024996 Loss_G: -0.001260 Loss_D_real: -0.006508 Loss_D_fake 0.018488
[722/5000][345/535][74348] Loss_D: -0.024412 Loss_G: 0.005727 Loss_D_real: -0.012712 Loss_D_fake 0.011700
[722/5000][350/535][74349] Loss_D: -0.024181 Loss_G: 0.012217 Loss_D_real: -0.022602 Loss_D_fake 0.001578
[722/5000][355/535][74350] Loss_D: -0.022810 Loss_G: 0.019382 Loss_D_real: -0.020361 Loss_D_fake 0.002449
[722/5000][360/535][74351] Loss_D: -0.025258 Loss_G: 0.009283 Loss_D_real: -0.022867 Loss_D_fake 0.002391
[722/5000][365/535][74352] Loss_D: -0.022356 Loss_G: 0.020466 Loss_D_real: -0.024825 Loss_D_fake -0.002468
[722/5000][370/535][74353] Loss_D: -0.023278 Loss_G: -0.002948 Loss_D_real: -0.014036 Loss_D_fake 0.009242
[722/5000][375/535][74354] Loss_D: -0.025754 Loss_G: 0.023788 Loss_D_real: -0.022968 Loss_D_fake 0.002786
[722/5000][380/535][74355] Loss_D: -0.022857 Loss_G: 0.026856 Loss_D_real: -0.032476 Loss_D_fake -0.009619
[722/5000][385/535][74356] Loss_D: -0.024077 Loss_G: 0.027881 Loss_D_real: -0.027422 Loss_D_fake -0.003345
[722/5000][390/535][74357] Loss_D: -0.022828 Loss_G: -0.000871 Loss_D_real: -0.019794 Loss_D_fake 0.003034
[722/5000][395/535][74358] Loss_D: -0.023256 Loss_G: 0.013174 Loss_D_real: -0.023119 Loss_D_fake 0.000137
[722/5000][400/535][74359] Loss_D: -0.024934 Loss_G: -0.008045 Loss_D_real: -0.021592 Loss_D_fake 0.003342
[722/5000][405/535][74360] Loss_D: -0.023983 Loss_G: 0.011442 Loss_D_real: -0.030306 Loss_D_fake -0.006323
[722/5000][410/535][74361] Loss_D: -0.023831 Loss_G: 0.022330 Loss_D_real: -0.033717 Loss_D_fake -0.009886
[722/5000][415/535][74362] Loss_D: -0.023945 Loss_G: 0.012529 Loss_D_real: -0.010470 Loss_D_fake 0.013475
[722/5000][420/535][74363] Loss_D: -0.021719 Loss_G: 0.023802 Loss_D_real: -0.029125 Loss_D_fake -0.007406
[722/5000][425/535][74364] Loss_D: -0.023317 Loss_G: 0.002353 Loss_D_real: -0.009899 Loss_D_fake 0.013418
[722/5000][430/535][74365] Loss_D: -0.024375 Loss_G: 0.007509 Loss_D_real: -0.021963 Loss_D_fake 0.002412
[722/5000][435/535][74366] Loss_D: -0.024374 Loss_G: 0.014122 Loss_D_real: -0.025740 Loss_D_fake -0.001366
[722/5000][440/535][74367] Loss_D: -0.025316 Loss_G: 0.009323 Loss_D_real: -0.015959 Loss_D_fake 0.009357
[722/5000][445/535][74368] Loss_D: -0.024233 Loss_G: 0.019362 Loss_D_real: -0.020037 Loss_D_fake 0.004196
[722/5000][450/535][74369] Loss_D: -0.024390 Loss_G: 0.014195 Loss_D_real: -0.038685 Loss_D_fake -0.014295
[722/5000][455/535][74370] Loss_D: -0.022927 Loss_G: 0.025294 Loss_D_real: -0.034983 Loss_D_fake -0.012055
[722/5000][460/535][74371] Loss_D: -0.024733 Loss_G: 0.007795 Loss_D_real: -0.018559 Loss_D_fake 0.006174
[722/5000][465/535][74372] Loss_D: -0.023736 Loss_G: 0.024515 Loss_D_real: -0.034493 Loss_D_fake -0.010757
[722/5000][470/535][74373] Loss_D: -0.023088 Loss_G: -0.000470 Loss_D_real: -0.001962 Loss_D_fake 0.021126
[722/5000][475/535][74374] Loss_D: -0.025451 Loss_G: 0.010540 Loss_D_real: -0.016295 Loss_D_fake 0.009156
[722/5000][480/535][74375] Loss_D: -0.025746 Loss_G: 0.017110 Loss_D_real: -0.010724 Loss_D_fake 0.015022
[722/5000][485/535][74376] Loss_D: -0.025162 Loss_G: 0.008071 Loss_D_real: -0.014687 Loss_D_fake 0.010475
[722/5000][490/535][74377] Loss_D: -0.024659 Loss_G: 0.003309 Loss_D_real: -0.020981 Loss_D_fake 0.003678
[722/5000][495/535][74378] Loss_D: -0.024028 Loss_G: 0.006209 Loss_D_real: -0.018240 Loss_D_fake 0.005788
[722/5000][500/535][74379] Loss_D: -0.024067 Loss_G: -0.011815 Loss_D_real: -0.004984 Loss_D_fake 0.019082
[722/5000][505/535][74380] Loss_D: -0.023153 Loss_G: 0.023873 Loss_D_real: -0.026665 Loss_D_fake -0.003512
[722/5000][510/535][74381] Loss_D: -0.023495 Loss_G: -0.000050 Loss_D_real: -0.007181 Loss_D_fake 0.016314
[722/5000][515/535][74382] Loss_D: -0.023362 Loss_G: -0.002554 Loss_D_real: -0.006176 Loss_D_fake 0.017186
[722/5000][520/535][74383] Loss_D: -0.023083 Loss_G: -0.003031 Loss_D_real: -0.017958 Loss_D_fake 0.005125
[722/5000][525/535][74384] Loss_D: -0.024154 Loss_G: 0.007808 Loss_D_real: -0.025085 Loss_D_fake -0.000931
[722/5000][530/535][74385] Loss_D: -0.023999 Loss_G: -0.000610 Loss_D_real: -0.011298 Loss_D_fake 0.012700
[722/5000][535/535][74386] Loss_D: -0.021999 Loss_G: 0.032275 Loss_D_real: -0.029944 Loss_D_fake -0.007945
[723/5000][5/535][74387] Loss_D: -0.024271 Loss_G: 0.001536 Loss_D_real: -0.014252 Loss_D_fake 0.010020
[723/5000][10/535][74388] Loss_D: -0.025067 Loss_G: -0.010106 Loss_D_real: -0.009602 Loss_D_fake 0.015465
[723/5000][15/535][74389] Loss_D: -0.025135 Loss_G: -0.001214 Loss_D_real: -0.011132 Loss_D_fake 0.014003
[723/5000][20/535][74390] Loss_D: -0.024659 Loss_G: 0.009491 Loss_D_real: -0.018743 Loss_D_fake 0.005917
[723/5000][25/535][74391] Loss_D: -0.025861 Loss_G: 0.000517 Loss_D_real: -0.015407 Loss_D_fake 0.010454
[723/5000][30/535][74392] Loss_D: -0.024327 Loss_G: 0.002406 Loss_D_real: -0.015277 Loss_D_fake 0.009049
[723/5000][35/535][74393] Loss_D: -0.024668 Loss_G: -0.000720 Loss_D_real: -0.012672 Loss_D_fake 0.011996
[723/5000][40/535][74394] Loss_D: -0.024263 Loss_G: 0.020624 Loss_D_real: -0.013696 Loss_D_fake 0.010567
[723/5000][45/535][74395] Loss_D: -0.025580 Loss_G: 0.021836 Loss_D_real: -0.016775 Loss_D_fake 0.008804
[723/5000][50/535][74396] Loss_D: -0.023006 Loss_G: -0.006601 Loss_D_real: -0.006117 Loss_D_fake 0.016889
[723/5000][55/535][74397] Loss_D: -0.024082 Loss_G: 0.016957 Loss_D_real: -0.036503 Loss_D_fake -0.012422
[723/5000][60/535][74398] Loss_D: -0.024997 Loss_G: 0.003173 Loss_D_real: -0.011327 Loss_D_fake 0.013670
[723/5000][65/535][74399] Loss_D: -0.022833 Loss_G: 0.023358 Loss_D_real: -0.028442 Loss_D_fake -0.005610
[723/5000][70/535][74400] Loss_D: -0.023946 Loss_G: 0.013058 Loss_D_real: -0.017408 Loss_D_fake 0.006539
[723/5000][75/535][74401] Loss_D: -0.024885 Loss_G: 0.002098 Loss_D_real: -0.020045 Loss_D_fake 0.004839
[723/5000][80/535][74402] Loss_D: -0.023090 Loss_G: 0.014045 Loss_D_real: -0.023202 Loss_D_fake -0.000112
[723/5000][85/535][74403] Loss_D: -0.024382 Loss_G: 0.019086 Loss_D_real: -0.027409 Loss_D_fake -0.003027
[723/5000][90/535][74404] Loss_D: -0.023635 Loss_G: -0.003616 Loss_D_real: -0.008903 Loss_D_fake 0.014732
[723/5000][95/535][74405] Loss_D: -0.023503 Loss_G: -0.001628 Loss_D_real: -0.012645 Loss_D_fake 0.010858
[723/5000][100/535][74406] Loss_D: -0.023915 Loss_G: 0.015263 Loss_D_real: -0.028261 Loss_D_fake -0.004346
[723/5000][105/535][74407] Loss_D: -0.023547 Loss_G: -0.001079 Loss_D_real: -0.014279 Loss_D_fake 0.009268
[723/5000][110/535][74408] Loss_D: -0.024928 Loss_G: 0.029193 Loss_D_real: -0.026376 Loss_D_fake -0.001449
[723/5000][115/535][74409] Loss_D: -0.024542 Loss_G: -0.003405 Loss_D_real: -0.018765 Loss_D_fake 0.005777
[723/5000][120/535][74410] Loss_D: -0.024971 Loss_G: 0.019114 Loss_D_real: -0.026266 Loss_D_fake -0.001295
[723/5000][125/535][74411] Loss_D: -0.024429 Loss_G: -0.001147 Loss_D_real: -0.015284 Loss_D_fake 0.009145
[723/5000][130/535][74412] Loss_D: -0.024133 Loss_G: 0.016682 Loss_D_real: -0.034079 Loss_D_fake -0.009946
[723/5000][135/535][74413] Loss_D: -0.025143 Loss_G: 0.015053 Loss_D_real: -0.025857 Loss_D_fake -0.000714
[723/5000][140/535][74414] Loss_D: -0.024790 Loss_G: 0.005187 Loss_D_real: -0.017284 Loss_D_fake 0.007506
[723/5000][145/535][74415] Loss_D: -0.024113 Loss_G: 0.011991 Loss_D_real: -0.026344 Loss_D_fake -0.002231
[723/5000][150/535][74416] Loss_D: -0.025872 Loss_G: 0.013408 Loss_D_real: -0.015940 Loss_D_fake 0.009932
[723/5000][155/535][74417] Loss_D: -0.024922 Loss_G: 0.017104 Loss_D_real: -0.030511 Loss_D_fake -0.005589
[723/5000][160/535][74418] Loss_D: -0.024095 Loss_G: -0.003576 Loss_D_real: -0.000995 Loss_D_fake 0.023100
[723/5000][165/535][74419] Loss_D: -0.023445 Loss_G: 0.004413 Loss_D_real: -0.018031 Loss_D_fake 0.005415
[723/5000][170/535][74420] Loss_D: -0.025334 Loss_G: 0.004303 Loss_D_real: -0.008578 Loss_D_fake 0.016756
[723/5000][175/535][74421] Loss_D: -0.024614 Loss_G: -0.000468 Loss_D_real: -0.015157 Loss_D_fake 0.009457
[723/5000][180/535][74422] Loss_D: -0.024517 Loss_G: 0.024063 Loss_D_real: -0.030152 Loss_D_fake -0.005635
[723/5000][185/535][74423] Loss_D: -0.023643 Loss_G: 0.008077 Loss_D_real: -0.018351 Loss_D_fake 0.005292
[723/5000][190/535][74424] Loss_D: -0.022956 Loss_G: 0.023880 Loss_D_real: -0.024424 Loss_D_fake -0.001468
[723/5000][195/535][74425] Loss_D: -0.022112 Loss_G: -0.028672 Loss_D_real: 0.003416 Loss_D_fake 0.025528
[723/5000][200/535][74426] Loss_D: -0.022373 Loss_G: 0.015291 Loss_D_real: -0.015644 Loss_D_fake 0.006729
[723/5000][205/535][74427] Loss_D: -0.024621 Loss_G: 0.003311 Loss_D_real: -0.011091 Loss_D_fake 0.013529
[723/5000][210/535][74428] Loss_D: -0.022625 Loss_G: 0.013818 Loss_D_real: -0.023136 Loss_D_fake -0.000511
[723/5000][215/535][74429] Loss_D: -0.024096 Loss_G: 0.030706 Loss_D_real: -0.024616 Loss_D_fake -0.000520
[723/5000][220/535][74430] Loss_D: -0.024680 Loss_G: 0.009545 Loss_D_real: -0.016580 Loss_D_fake 0.008100
[723/5000][225/535][74431] Loss_D: -0.023845 Loss_G: 0.013792 Loss_D_real: -0.014106 Loss_D_fake 0.009739
[723/5000][230/535][74432] Loss_D: -0.022917 Loss_G: -0.019235 Loss_D_real: -0.002419 Loss_D_fake 0.020498
[723/5000][235/535][74433] Loss_D: -0.023112 Loss_G: 0.015479 Loss_D_real: -0.023984 Loss_D_fake -0.000873
[723/5000][240/535][74434] Loss_D: -0.022941 Loss_G: 0.010386 Loss_D_real: -0.019000 Loss_D_fake 0.003942
[723/5000][245/535][74435] Loss_D: -0.023583 Loss_G: 0.002986 Loss_D_real: -0.013447 Loss_D_fake 0.010135
[723/5000][250/535][74436] Loss_D: -0.023646 Loss_G: 0.004952 Loss_D_real: -0.006988 Loss_D_fake 0.016658
[723/5000][255/535][74437] Loss_D: -0.022481 Loss_G: 0.031618 Loss_D_real: -0.035841 Loss_D_fake -0.013360
[723/5000][260/535][74438] Loss_D: -0.023830 Loss_G: 0.005557 Loss_D_real: -0.010439 Loss_D_fake 0.013391
[723/5000][265/535][74439] Loss_D: -0.023813 Loss_G: 0.021044 Loss_D_real: -0.028173 Loss_D_fake -0.004361
[723/5000][270/535][74440] Loss_D: -0.022125 Loss_G: 0.025272 Loss_D_real: -0.030701 Loss_D_fake -0.008576
[723/5000][275/535][74441] Loss_D: -0.022500 Loss_G: -0.002947 Loss_D_real: -0.011603 Loss_D_fake 0.010897
[723/5000][280/535][74442] Loss_D: -0.022585 Loss_G: -0.001439 Loss_D_real: -0.013634 Loss_D_fake 0.008952
[723/5000][285/535][74443] Loss_D: -0.026083 Loss_G: 0.006118 Loss_D_real: -0.021924 Loss_D_fake 0.004159
[723/5000][290/535][74444] Loss_D: -0.024214 Loss_G: 0.014105 Loss_D_real: -0.023656 Loss_D_fake 0.000558
[723/5000][295/535][74445] Loss_D: -0.023938 Loss_G: 0.000932 Loss_D_real: -0.015003 Loss_D_fake 0.008936
[723/5000][300/535][74446] Loss_D: -0.024542 Loss_G: 0.015019 Loss_D_real: -0.030987 Loss_D_fake -0.006446
[723/5000][305/535][74447] Loss_D: -0.023237 Loss_G: -0.006302 Loss_D_real: -0.005901 Loss_D_fake 0.017336
[723/5000][310/535][74448] Loss_D: -0.025600 Loss_G: 0.005460 Loss_D_real: -0.026433 Loss_D_fake -0.000833
[723/5000][315/535][74449] Loss_D: -0.024495 Loss_G: 0.001703 Loss_D_real: -0.008830 Loss_D_fake 0.015665
[723/5000][320/535][74450] Loss_D: -0.023791 Loss_G: 0.007540 Loss_D_real: -0.024089 Loss_D_fake -0.000298
[723/5000][325/535][74451] Loss_D: -0.022871 Loss_G: 0.006230 Loss_D_real: -0.010462 Loss_D_fake 0.012409
[723/5000][330/535][74452] Loss_D: -0.024385 Loss_G: 0.018524 Loss_D_real: -0.027493 Loss_D_fake -0.003107
[723/5000][335/535][74453] Loss_D: -0.024313 Loss_G: 0.009347 Loss_D_real: -0.020176 Loss_D_fake 0.004136
[723/5000][340/535][74454] Loss_D: -0.024878 Loss_G: 0.021808 Loss_D_real: -0.028838 Loss_D_fake -0.003960
[723/5000][345/535][74455] Loss_D: -0.023944 Loss_G: 0.025415 Loss_D_real: -0.030103 Loss_D_fake -0.006159
[723/5000][350/535][74456] Loss_D: -0.024823 Loss_G: 0.006699 Loss_D_real: -0.020615 Loss_D_fake 0.004208
[723/5000][355/535][74457] Loss_D: -0.023630 Loss_G: 0.020288 Loss_D_real: -0.032142 Loss_D_fake -0.008512
[723/5000][360/535][74458] Loss_D: -0.024851 Loss_G: -0.006344 Loss_D_real: -0.001604 Loss_D_fake 0.023247
[723/5000][365/535][74459] Loss_D: -0.023297 Loss_G: 0.029009 Loss_D_real: -0.030372 Loss_D_fake -0.007075
[723/5000][370/535][74460] Loss_D: -0.024521 Loss_G: 0.019095 Loss_D_real: -0.028918 Loss_D_fake -0.004397
[723/5000][375/535][74461] Loss_D: -0.025282 Loss_G: 0.012955 Loss_D_real: -0.025540 Loss_D_fake -0.000258
[723/5000][380/535][74462] Loss_D: -0.025350 Loss_G: 0.018126 Loss_D_real: -0.021495 Loss_D_fake 0.003855
[723/5000][385/535][74463] Loss_D: -0.023710 Loss_G: 0.005635 Loss_D_real: -0.021416 Loss_D_fake 0.002294
[723/5000][390/535][74464] Loss_D: -0.025265 Loss_G: 0.011654 Loss_D_real: -0.017075 Loss_D_fake 0.008189
[723/5000][395/535][74465] Loss_D: -0.024812 Loss_G: 0.003791 Loss_D_real: -0.017354 Loss_D_fake 0.007458
[723/5000][400/535][74466] Loss_D: -0.023660 Loss_G: 0.005189 Loss_D_real: -0.016206 Loss_D_fake 0.007454
[723/5000][405/535][74467] Loss_D: -0.023086 Loss_G: 0.016690 Loss_D_real: -0.032584 Loss_D_fake -0.009499
[723/5000][410/535][74468] Loss_D: -0.025245 Loss_G: -0.003600 Loss_D_real: -0.021119 Loss_D_fake 0.004126
[723/5000][415/535][74469] Loss_D: -0.022645 Loss_G: 0.022056 Loss_D_real: -0.033073 Loss_D_fake -0.010428
[723/5000][420/535][74470] Loss_D: -0.023395 Loss_G: -0.006331 Loss_D_real: 0.000104 Loss_D_fake 0.023499
[723/5000][425/535][74471] Loss_D: -0.023829 Loss_G: 0.002022 Loss_D_real: -0.008733 Loss_D_fake 0.015096
[723/5000][430/535][74472] Loss_D: -0.023556 Loss_G: -0.003813 Loss_D_real: -0.012275 Loss_D_fake 0.011281
[723/5000][435/535][74473] Loss_D: -0.024906 Loss_G: 0.004578 Loss_D_real: -0.021676 Loss_D_fake 0.003230
[723/5000][440/535][74474] Loss_D: -0.024596 Loss_G: 0.016117 Loss_D_real: -0.021464 Loss_D_fake 0.003132
[723/5000][445/535][74475] Loss_D: -0.024542 Loss_G: 0.032199 Loss_D_real: -0.034748 Loss_D_fake -0.010206
[723/5000][450/535][74476] Loss_D: -0.022965 Loss_G: 0.027168 Loss_D_real: -0.032144 Loss_D_fake -0.009178
[723/5000][455/535][74477] Loss_D: -0.022638 Loss_G: 0.017580 Loss_D_real: -0.023246 Loss_D_fake -0.000607
[723/5000][460/535][74478] Loss_D: -0.024549 Loss_G: 0.000654 Loss_D_real: -0.024397 Loss_D_fake 0.000152
[723/5000][465/535][74479] Loss_D: -0.022587 Loss_G: 0.029379 Loss_D_real: -0.037960 Loss_D_fake -0.015373
[723/5000][470/535][74480] Loss_D: -0.025422 Loss_G: 0.005518 Loss_D_real: -0.016405 Loss_D_fake 0.009017
[723/5000][475/535][74481] Loss_D: -0.024491 Loss_G: -0.003996 Loss_D_real: -0.016031 Loss_D_fake 0.008461
[723/5000][480/535][74482] Loss_D: -0.022780 Loss_G: 0.026057 Loss_D_real: -0.035205 Loss_D_fake -0.012424
[723/5000][485/535][74483] Loss_D: -0.024341 Loss_G: 0.012329 Loss_D_real: -0.023663 Loss_D_fake 0.000678
[723/5000][490/535][74484] Loss_D: -0.023442 Loss_G: 0.006767 Loss_D_real: -0.015793 Loss_D_fake 0.007648
[723/5000][495/535][74485] Loss_D: -0.023568 Loss_G: 0.013912 Loss_D_real: -0.038048 Loss_D_fake -0.014480
[723/5000][500/535][74486] Loss_D: -0.024886 Loss_G: -0.008218 Loss_D_real: -0.006180 Loss_D_fake 0.018705
[723/5000][505/535][74487] Loss_D: -0.024049 Loss_G: 0.024148 Loss_D_real: -0.023246 Loss_D_fake 0.000803
[723/5000][510/535][74488] Loss_D: -0.024615 Loss_G: 0.012282 Loss_D_real: -0.022689 Loss_D_fake 0.001925
[723/5000][515/535][74489] Loss_D: -0.022732 Loss_G: 0.004452 Loss_D_real: -0.014456 Loss_D_fake 0.008276
[723/5000][520/535][74490] Loss_D: -0.024481 Loss_G: 0.016021 Loss_D_real: -0.018174 Loss_D_fake 0.006307
[723/5000][525/535][74491] Loss_D: -0.022329 Loss_G: -0.006578 Loss_D_real: -0.008059 Loss_D_fake 0.014270
[723/5000][530/535][74492] Loss_D: -0.022361 Loss_G: 0.015573 Loss_D_real: -0.033965 Loss_D_fake -0.011604
[723/5000][535/535][74493] Loss_D: -0.026481 Loss_G: 0.008296 Loss_D_real: -0.014150 Loss_D_fake 0.012331
[724/5000][5/535][74494] Loss_D: -0.023465 Loss_G: -0.000003 Loss_D_real: -0.017488 Loss_D_fake 0.005977
[724/5000][10/535][74495] Loss_D: -0.024009 Loss_G: 0.008547 Loss_D_real: -0.023728 Loss_D_fake 0.000281
[724/5000][15/535][74496] Loss_D: -0.023460 Loss_G: 0.023410 Loss_D_real: -0.025122 Loss_D_fake -0.001662
[724/5000][20/535][74497] Loss_D: -0.022210 Loss_G: 0.019561 Loss_D_real: -0.023223 Loss_D_fake -0.001013
[724/5000][25/535][74498] Loss_D: -0.021601 Loss_G: 0.011366 Loss_D_real: -0.028499 Loss_D_fake -0.006898
[724/5000][30/535][74499] Loss_D: -0.022984 Loss_G: 0.004779 Loss_D_real: -0.024713 Loss_D_fake -0.001729
[724/5000][35/535][74500] Loss_D: -0.024052 Loss_G: 0.015550 Loss_D_real: -0.022308 Loss_D_fake 0.001743
[724/5000][135/535][74501] Loss_D: -0.024628 Loss_G: -0.015404 Loss_D_real: 0.006390 Loss_D_fake 0.031018
[724/5000][140/535][74502] Loss_D: -0.023830 Loss_G: 0.011319 Loss_D_real: -0.014721 Loss_D_fake 0.009109
[724/5000][145/535][74503] Loss_D: -0.021377 Loss_G: 0.007016 Loss_D_real: -0.012490 Loss_D_fake 0.008887
[724/5000][150/535][74504] Loss_D: -0.021720 Loss_G: 0.022634 Loss_D_real: -0.028640 Loss_D_fake -0.006920
[724/5000][155/535][74505] Loss_D: -0.023724 Loss_G: 0.019445 Loss_D_real: -0.022417 Loss_D_fake 0.001306
[724/5000][160/535][74506] Loss_D: -0.023914 Loss_G: 0.006401 Loss_D_real: -0.014447 Loss_D_fake 0.009467
[724/5000][165/535][74507] Loss_D: -0.021406 Loss_G: -0.003761 Loss_D_real: -0.017308 Loss_D_fake 0.004098
[724/5000][170/535][74508] Loss_D: -0.022563 Loss_G: -0.008880 Loss_D_real: -0.009926 Loss_D_fake 0.012637
[724/5000][175/535][74509] Loss_D: -0.021390 Loss_G: 0.019885 Loss_D_real: -0.027356 Loss_D_fake -0.005966
[724/5000][180/535][74510] Loss_D: -0.023594 Loss_G: 0.017984 Loss_D_real: -0.026138 Loss_D_fake -0.002544
[724/5000][185/535][74511] Loss_D: -0.022748 Loss_G: -0.001915 Loss_D_real: -0.010264 Loss_D_fake 0.012484
[724/5000][190/535][74512] Loss_D: -0.023316 Loss_G: 0.003730 Loss_D_real: -0.014004 Loss_D_fake 0.009312
[724/5000][195/535][74513] Loss_D: -0.024452 Loss_G: 0.015464 Loss_D_real: -0.018252 Loss_D_fake 0.006200
[724/5000][200/535][74514] Loss_D: -0.022663 Loss_G: 0.012653 Loss_D_real: -0.028317 Loss_D_fake -0.005653
[724/5000][205/535][74515] Loss_D: -0.023204 Loss_G: 0.011326 Loss_D_real: -0.011606 Loss_D_fake 0.011598
[724/5000][210/535][74516] Loss_D: -0.024854 Loss_G: 0.002516 Loss_D_real: -0.018066 Loss_D_fake 0.006788
[724/5000][215/535][74517] Loss_D: -0.023102 Loss_G: 0.008636 Loss_D_real: -0.019973 Loss_D_fake 0.003129
[724/5000][220/535][74518] Loss_D: -0.024141 Loss_G: -0.008155 Loss_D_real: -0.015765 Loss_D_fake 0.008376
[724/5000][225/535][74519] Loss_D: -0.023188 Loss_G: 0.005154 Loss_D_real: -0.020900 Loss_D_fake 0.002287
[724/5000][230/535][74520] Loss_D: -0.025148 Loss_G: 0.023573 Loss_D_real: -0.023140 Loss_D_fake 0.002008
[724/5000][235/535][74521] Loss_D: -0.024222 Loss_G: 0.023961 Loss_D_real: -0.033890 Loss_D_fake -0.009668
[724/5000][240/535][74522] Loss_D: -0.024133 Loss_G: 0.003726 Loss_D_real: -0.023772 Loss_D_fake 0.000361
[724/5000][245/535][74523] Loss_D: -0.023379 Loss_G: 0.025310 Loss_D_real: -0.038140 Loss_D_fake -0.014760
[724/5000][250/535][74524] Loss_D: -0.024491 Loss_G: 0.011185 Loss_D_real: -0.013676 Loss_D_fake 0.010815
[724/5000][255/535][74525] Loss_D: -0.022998 Loss_G: 0.002987 Loss_D_real: -0.018196 Loss_D_fake 0.004801
[724/5000][260/535][74526] Loss_D: -0.024637 Loss_G: 0.001447 Loss_D_real: -0.011869 Loss_D_fake 0.012768
[724/5000][265/535][74527] Loss_D: -0.024351 Loss_G: 0.010590 Loss_D_real: -0.027434 Loss_D_fake -0.003083
[724/5000][270/535][74528] Loss_D: -0.024022 Loss_G: 0.023981 Loss_D_real: -0.032676 Loss_D_fake -0.008654
[724/5000][275/535][74529] Loss_D: -0.025432 Loss_G: 0.010394 Loss_D_real: -0.022039 Loss_D_fake 0.003393
[724/5000][280/535][74530] Loss_D: -0.023661 Loss_G: 0.012239 Loss_D_real: -0.024968 Loss_D_fake -0.001307
[724/5000][285/535][74531] Loss_D: -0.025449 Loss_G: 0.010990 Loss_D_real: -0.022154 Loss_D_fake 0.003295
[724/5000][290/535][74532] Loss_D: -0.024853 Loss_G: -0.007677 Loss_D_real: -0.004068 Loss_D_fake 0.020785
[724/5000][295/535][74533] Loss_D: -0.024884 Loss_G: 0.032292 Loss_D_real: -0.024257 Loss_D_fake 0.000627
[724/5000][300/535][74534] Loss_D: -0.024321 Loss_G: -0.009279 Loss_D_real: -0.013234 Loss_D_fake 0.011087
[724/5000][305/535][74535] Loss_D: -0.024431 Loss_G: 0.024126 Loss_D_real: -0.028524 Loss_D_fake -0.004093
[724/5000][310/535][74536] Loss_D: -0.022866 Loss_G: -0.013144 Loss_D_real: -0.006794 Loss_D_fake 0.016072
[724/5000][315/535][74537] Loss_D: -0.024557 Loss_G: -0.001932 Loss_D_real: -0.018661 Loss_D_fake 0.005896
[724/5000][320/535][74538] Loss_D: -0.021045 Loss_G: 0.025068 Loss_D_real: -0.031992 Loss_D_fake -0.010947
[724/5000][325/535][74539] Loss_D: -0.024446 Loss_G: 0.026312 Loss_D_real: -0.033735 Loss_D_fake -0.009289
[724/5000][330/535][74540] Loss_D: -0.025755 Loss_G: 0.004490 Loss_D_real: -0.011085 Loss_D_fake 0.014670
[724/5000][335/535][74541] Loss_D: -0.024249 Loss_G: 0.000416 Loss_D_real: -0.009391 Loss_D_fake 0.014857
[724/5000][340/535][74542] Loss_D: -0.023368 Loss_G: 0.008381 Loss_D_real: -0.016149 Loss_D_fake 0.007220
[724/5000][345/535][74543] Loss_D: -0.024587 Loss_G: -0.009254 Loss_D_real: -0.008416 Loss_D_fake 0.016171
[724/5000][350/535][74544] Loss_D: -0.023844 Loss_G: 0.025417 Loss_D_real: -0.025868 Loss_D_fake -0.002024
[724/5000][355/535][74545] Loss_D: -0.023392 Loss_G: 0.002022 Loss_D_real: -0.017002 Loss_D_fake 0.006390
[724/5000][360/535][74546] Loss_D: -0.023924 Loss_G: 0.013997 Loss_D_real: -0.024354 Loss_D_fake -0.000431
[724/5000][365/535][74547] Loss_D: -0.024279 Loss_G: 0.003105 Loss_D_real: -0.025641 Loss_D_fake -0.001362
[724/5000][370/535][74548] Loss_D: -0.024213 Loss_G: 0.029860 Loss_D_real: -0.018684 Loss_D_fake 0.005529
[724/5000][375/535][74549] Loss_D: -0.024789 Loss_G: 0.004633 Loss_D_real: -0.007487 Loss_D_fake 0.017301
[724/5000][380/535][74550] Loss_D: -0.024138 Loss_G: 0.005834 Loss_D_real: -0.020520 Loss_D_fake 0.003619
[724/5000][385/535][74551] Loss_D: -0.023516 Loss_G: 0.019186 Loss_D_real: -0.024064 Loss_D_fake -0.000548
[724/5000][390/535][74552] Loss_D: -0.023793 Loss_G: 0.002351 Loss_D_real: -0.019780 Loss_D_fake 0.004013
[724/5000][395/535][74553] Loss_D: -0.024985 Loss_G: 0.009304 Loss_D_real: -0.012808 Loss_D_fake 0.012176
[724/5000][400/535][74554] Loss_D: -0.023475 Loss_G: 0.000672 Loss_D_real: -0.010925 Loss_D_fake 0.012550
[724/5000][405/535][74555] Loss_D: -0.023854 Loss_G: 0.008533 Loss_D_real: -0.015184 Loss_D_fake 0.008670
[724/5000][410/535][74556] Loss_D: -0.024076 Loss_G: 0.000922 Loss_D_real: -0.012090 Loss_D_fake 0.011986
[724/5000][415/535][74557] Loss_D: -0.022938 Loss_G: 0.018811 Loss_D_real: -0.023706 Loss_D_fake -0.000769
[724/5000][420/535][74558] Loss_D: -0.024083 Loss_G: 0.021029 Loss_D_real: -0.032898 Loss_D_fake -0.008814
[724/5000][425/535][74559] Loss_D: -0.024557 Loss_G: -0.008670 Loss_D_real: -0.003435 Loss_D_fake 0.021122
[724/5000][430/535][74560] Loss_D: -0.023854 Loss_G: 0.016423 Loss_D_real: -0.033596 Loss_D_fake -0.009742
[724/5000][435/535][74561] Loss_D: -0.024121 Loss_G: 0.000221 Loss_D_real: -0.020220 Loss_D_fake 0.003901
[724/5000][440/535][74562] Loss_D: -0.023806 Loss_G: 0.019243 Loss_D_real: -0.028014 Loss_D_fake -0.004209
[724/5000][445/535][74563] Loss_D: -0.025290 Loss_G: 0.000694 Loss_D_real: -0.020880 Loss_D_fake 0.004409
[724/5000][450/535][74564] Loss_D: -0.023988 Loss_G: 0.006084 Loss_D_real: -0.029694 Loss_D_fake -0.005707
[724/5000][455/535][74565] Loss_D: -0.023679 Loss_G: 0.002817 Loss_D_real: -0.015829 Loss_D_fake 0.007851
[724/5000][460/535][74566] Loss_D: -0.024477 Loss_G: 0.015736 Loss_D_real: -0.013839 Loss_D_fake 0.010639
[724/5000][465/535][74567] Loss_D: -0.024414 Loss_G: 0.023854 Loss_D_real: -0.024365 Loss_D_fake 0.000050
[724/5000][470/535][74568] Loss_D: -0.025039 Loss_G: 0.026684 Loss_D_real: -0.028299 Loss_D_fake -0.003260
[724/5000][475/535][74569] Loss_D: -0.024231 Loss_G: 0.001221 Loss_D_real: -0.021055 Loss_D_fake 0.003176
[724/5000][480/535][74570] Loss_D: -0.024041 Loss_G: 0.028982 Loss_D_real: -0.033585 Loss_D_fake -0.009544
[724/5000][485/535][74571] Loss_D: -0.024535 Loss_G: -0.009936 Loss_D_real: -0.015111 Loss_D_fake 0.009425
[724/5000][490/535][74572] Loss_D: -0.024380 Loss_G: 0.003446 Loss_D_real: -0.013231 Loss_D_fake 0.011149
[724/5000][495/535][74573] Loss_D: -0.023993 Loss_G: 0.006610 Loss_D_real: -0.029123 Loss_D_fake -0.005131
[724/5000][500/535][74574] Loss_D: -0.024012 Loss_G: -0.007734 Loss_D_real: -0.010227 Loss_D_fake 0.013785
[724/5000][505/535][74575] Loss_D: -0.023684 Loss_G: 0.010039 Loss_D_real: -0.012180 Loss_D_fake 0.011504
[724/5000][510/535][74576] Loss_D: -0.024349 Loss_G: -0.014800 Loss_D_real: -0.011501 Loss_D_fake 0.012848
[724/5000][515/535][74577] Loss_D: -0.022736 Loss_G: 0.030347 Loss_D_real: -0.040572 Loss_D_fake -0.017836
[724/5000][520/535][74578] Loss_D: -0.025608 Loss_G: 0.013455 Loss_D_real: -0.016084 Loss_D_fake 0.009524
[724/5000][525/535][74579] Loss_D: -0.023745 Loss_G: 0.002500 Loss_D_real: -0.012192 Loss_D_fake 0.011553
[724/5000][530/535][74580] Loss_D: -0.024153 Loss_G: 0.013042 Loss_D_real: -0.015689 Loss_D_fake 0.008463
[724/5000][535/535][74581] Loss_D: -0.023717 Loss_G: 0.015153 Loss_D_real: -0.044639 Loss_D_fake -0.020922
[725/5000][5/535][74582] Loss_D: -0.024517 Loss_G: -0.011201 Loss_D_real: -0.009653 Loss_D_fake 0.014864
[725/5000][10/535][74583] Loss_D: -0.023733 Loss_G: -0.013396 Loss_D_real: -0.006230 Loss_D_fake 0.017504
[725/5000][15/535][74584] Loss_D: -0.022828 Loss_G: 0.029069 Loss_D_real: -0.040642 Loss_D_fake -0.017814
[725/5000][20/535][74585] Loss_D: -0.023770 Loss_G: 0.013807 Loss_D_real: -0.014448 Loss_D_fake 0.009322
[725/5000][25/535][74586] Loss_D: -0.023206 Loss_G: 0.026475 Loss_D_real: -0.031673 Loss_D_fake -0.008467
[725/5000][30/535][74587] Loss_D: -0.024567 Loss_G: 0.004586 Loss_D_real: -0.022989 Loss_D_fake 0.001578
[725/5000][35/535][74588] Loss_D: -0.023072 Loss_G: -0.015016 Loss_D_real: -0.011653 Loss_D_fake 0.011419
[725/5000][40/535][74589] Loss_D: -0.024290 Loss_G: 0.009703 Loss_D_real: -0.023269 Loss_D_fake 0.001020
[725/5000][45/535][74590] Loss_D: -0.022949 Loss_G: -0.002040 Loss_D_real: -0.014973 Loss_D_fake 0.007976
[725/5000][50/535][74591] Loss_D: -0.023328 Loss_G: 0.015993 Loss_D_real: -0.030788 Loss_D_fake -0.007460
[725/5000][55/535][74592] Loss_D: -0.022804 Loss_G: 0.028207 Loss_D_real: -0.034394 Loss_D_fake -0.011590
[725/5000][60/535][74593] Loss_D: -0.024128 Loss_G: 0.005552 Loss_D_real: -0.010466 Loss_D_fake 0.013663
[725/5000][65/535][74594] Loss_D: -0.024261 Loss_G: 0.015901 Loss_D_real: -0.022082 Loss_D_fake 0.002179
[725/5000][70/535][74595] Loss_D: -0.023384 Loss_G: 0.018796 Loss_D_real: -0.024339 Loss_D_fake -0.000954
[725/5000][75/535][74596] Loss_D: -0.024679 Loss_G: 0.016173 Loss_D_real: -0.022070 Loss_D_fake 0.002609
[725/5000][80/535][74597] Loss_D: -0.022368 Loss_G: 0.032342 Loss_D_real: -0.039430 Loss_D_fake -0.017062
[725/5000][85/535][74598] Loss_D: -0.023308 Loss_G: -0.014737 Loss_D_real: 0.002602 Loss_D_fake 0.025909
[725/5000][90/535][74599] Loss_D: -0.023661 Loss_G: -0.011179 Loss_D_real: -0.008748 Loss_D_fake 0.014913
[725/5000][95/535][74600] Loss_D: -0.023653 Loss_G: 0.003647 Loss_D_real: -0.012059 Loss_D_fake 0.011595
[725/5000][100/535][74601] Loss_D: -0.024234 Loss_G: 0.010733 Loss_D_real: -0.019767 Loss_D_fake 0.004467
[725/5000][105/535][74602] Loss_D: -0.022552 Loss_G: -0.017428 Loss_D_real: -0.004145 Loss_D_fake 0.018408
[725/5000][110/535][74603] Loss_D: -0.024004 Loss_G: 0.019355 Loss_D_real: -0.029520 Loss_D_fake -0.005516
[725/5000][115/535][74604] Loss_D: -0.025084 Loss_G: 0.008748 Loss_D_real: -0.015354 Loss_D_fake 0.009730
[725/5000][120/535][74605] Loss_D: -0.023883 Loss_G: 0.016426 Loss_D_real: -0.006362 Loss_D_fake 0.017521
[725/5000][125/535][74606] Loss_D: -0.022716 Loss_G: -0.006219 Loss_D_real: -0.003691 Loss_D_fake 0.019025
[725/5000][130/535][74607] Loss_D: -0.024810 Loss_G: 0.013266 Loss_D_real: -0.024253 Loss_D_fake 0.000556
[725/5000][135/535][74608] Loss_D: -0.023708 Loss_G: 0.005528 Loss_D_real: -0.017338 Loss_D_fake 0.006370
[725/5000][140/535][74609] Loss_D: -0.023701 Loss_G: 0.004575 Loss_D_real: -0.011863 Loss_D_fake 0.011838
[725/5000][145/535][74610] Loss_D: -0.024057 Loss_G: -0.004735 Loss_D_real: -0.007836 Loss_D_fake 0.016221
[725/5000][150/535][74611] Loss_D: -0.022374 Loss_G: -0.006665 Loss_D_real: -0.002798 Loss_D_fake 0.019575
[725/5000][155/535][74612] Loss_D: -0.023681 Loss_G: -0.000105 Loss_D_real: -0.019564 Loss_D_fake 0.004117
[725/5000][160/535][74613] Loss_D: -0.023603 Loss_G: 0.035115 Loss_D_real: -0.036650 Loss_D_fake -0.013047
[725/5000][165/535][74614] Loss_D: -0.025275 Loss_G: 0.009025 Loss_D_real: -0.021445 Loss_D_fake 0.003830
[725/5000][170/535][74615] Loss_D: -0.023779 Loss_G: 0.013231 Loss_D_real: -0.020910 Loss_D_fake 0.002869
[725/5000][175/535][74616] Loss_D: -0.025811 Loss_G: 0.019278 Loss_D_real: -0.025363 Loss_D_fake 0.000448
[725/5000][180/535][74617] Loss_D: -0.024555 Loss_G: -0.002567 Loss_D_real: -0.012702 Loss_D_fake 0.011852
[725/5000][185/535][74618] Loss_D: -0.025071 Loss_G: 0.004338 Loss_D_real: -0.020760 Loss_D_fake 0.004311
[725/5000][190/535][74619] Loss_D: -0.023698 Loss_G: 0.018463 Loss_D_real: -0.027344 Loss_D_fake -0.003646
[725/5000][195/535][74620] Loss_D: -0.024648 Loss_G: 0.019757 Loss_D_real: -0.020563 Loss_D_fake 0.004085
[725/5000][200/535][74621] Loss_D: -0.023697 Loss_G: -0.004945 Loss_D_real: -0.001074 Loss_D_fake 0.022624
[725/5000][205/535][74622] Loss_D: -0.023283 Loss_G: 0.017779 Loss_D_real: -0.014884 Loss_D_fake 0.008398
[725/5000][210/535][74623] Loss_D: -0.023815 Loss_G: 0.011734 Loss_D_real: -0.015027 Loss_D_fake 0.008788
[725/5000][215/535][74624] Loss_D: -0.025233 Loss_G: -0.005064 Loss_D_real: -0.016391 Loss_D_fake 0.008842
[725/5000][220/535][74625] Loss_D: -0.023947 Loss_G: -0.000179 Loss_D_real: -0.007694 Loss_D_fake 0.016253
[725/5000][225/535][74626] Loss_D: -0.023830 Loss_G: 0.005716 Loss_D_real: -0.013336 Loss_D_fake 0.010494
[725/5000][230/535][74627] Loss_D: -0.022814 Loss_G: 0.015808 Loss_D_real: -0.019053 Loss_D_fake 0.003761
[725/5000][235/535][74628] Loss_D: -0.023401 Loss_G: 0.009195 Loss_D_real: -0.024059 Loss_D_fake -0.000657
[725/5000][240/535][74629] Loss_D: -0.024120 Loss_G: -0.000951 Loss_D_real: -0.017107 Loss_D_fake 0.007013
[725/5000][245/535][74630] Loss_D: -0.024907 Loss_G: 0.012114 Loss_D_real: -0.013924 Loss_D_fake 0.010983
[725/5000][250/535][74631] Loss_D: -0.022801 Loss_G: 0.012810 Loss_D_real: -0.021151 Loss_D_fake 0.001650
[725/5000][255/535][74632] Loss_D: -0.023979 Loss_G: 0.002957 Loss_D_real: -0.011500 Loss_D_fake 0.012479
[725/5000][260/535][74633] Loss_D: -0.024348 Loss_G: 0.024213 Loss_D_real: -0.034583 Loss_D_fake -0.010235
[725/5000][265/535][74634] Loss_D: -0.024509 Loss_G: 0.027677 Loss_D_real: -0.032734 Loss_D_fake -0.008225
[725/5000][270/535][74635] Loss_D: -0.023443 Loss_G: -0.016941 Loss_D_real: -0.005550 Loss_D_fake 0.017893
[725/5000][275/535][74636] Loss_D: -0.021131 Loss_G: 0.027487 Loss_D_real: -0.030682 Loss_D_fake -0.009551
[725/5000][280/535][74637] Loss_D: -0.023911 Loss_G: -0.011919 Loss_D_real: -0.006188 Loss_D_fake 0.017723
[725/5000][285/535][74638] Loss_D: -0.024041 Loss_G: -0.000468 Loss_D_real: -0.011926 Loss_D_fake 0.012115
[725/5000][290/535][74639] Loss_D: -0.023457 Loss_G: 0.002585 Loss_D_real: -0.013145 Loss_D_fake 0.010312
[725/5000][295/535][74640] Loss_D: -0.024054 Loss_G: 0.010987 Loss_D_real: -0.023555 Loss_D_fake 0.000499
[725/5000][300/535][74641] Loss_D: -0.023916 Loss_G: 0.005979 Loss_D_real: -0.028032 Loss_D_fake -0.004115
[725/5000][305/535][74642] Loss_D: -0.025196 Loss_G: 0.021911 Loss_D_real: -0.021677 Loss_D_fake 0.003519
[725/5000][310/535][74643] Loss_D: -0.024647 Loss_G: 0.007353 Loss_D_real: -0.021875 Loss_D_fake 0.002771
[725/5000][315/535][74644] Loss_D: -0.025329 Loss_G: 0.014984 Loss_D_real: -0.025775 Loss_D_fake -0.000445
[725/5000][320/535][74645] Loss_D: -0.024956 Loss_G: 0.007901 Loss_D_real: -0.021531 Loss_D_fake 0.003425
[725/5000][325/535][74646] Loss_D: -0.025934 Loss_G: 0.004252 Loss_D_real: -0.007990 Loss_D_fake 0.017944
[725/5000][330/535][74647] Loss_D: -0.024099 Loss_G: 0.021414 Loss_D_real: -0.032684 Loss_D_fake -0.008585
[725/5000][335/535][74648] Loss_D: -0.024439 Loss_G: 0.001165 Loss_D_real: -0.006932 Loss_D_fake 0.017507
[725/5000][340/535][74649] Loss_D: -0.024346 Loss_G: 0.019250 Loss_D_real: -0.028757 Loss_D_fake -0.004411
[725/5000][345/535][74650] Loss_D: -0.022756 Loss_G: 0.039299 Loss_D_real: -0.033099 Loss_D_fake -0.010344
[725/5000][350/535][74651] Loss_D: -0.024441 Loss_G: -0.000871 Loss_D_real: -0.019005 Loss_D_fake 0.005436
[725/5000][355/535][74652] Loss_D: -0.025047 Loss_G: -0.000842 Loss_D_real: -0.010672 Loss_D_fake 0.014376
[725/5000][360/535][74653] Loss_D: -0.024514 Loss_G: 0.001459 Loss_D_real: -0.024903 Loss_D_fake -0.000390
[725/5000][365/535][74654] Loss_D: -0.023790 Loss_G: -0.009089 Loss_D_real: -0.004645 Loss_D_fake 0.019145
[725/5000][370/535][74655] Loss_D: -0.024095 Loss_G: 0.007945 Loss_D_real: -0.015200 Loss_D_fake 0.008896
[725/5000][375/535][74656] Loss_D: -0.024215 Loss_G: -0.004324 Loss_D_real: -0.008888 Loss_D_fake 0.015327
[725/5000][380/535][74657] Loss_D: -0.024991 Loss_G: 0.017045 Loss_D_real: -0.029113 Loss_D_fake -0.004122
[725/5000][385/535][74658] Loss_D: -0.023721 Loss_G: 0.020612 Loss_D_real: -0.022533 Loss_D_fake 0.001188
[725/5000][390/535][74659] Loss_D: -0.023494 Loss_G: -0.002387 Loss_D_real: -0.000028 Loss_D_fake 0.023467
[725/5000][395/535][74660] Loss_D: -0.022157 Loss_G: 0.024599 Loss_D_real: -0.035113 Loss_D_fake -0.012957
[725/5000][400/535][74661] Loss_D: -0.025512 Loss_G: 0.006842 Loss_D_real: -0.005105 Loss_D_fake 0.020407
[725/5000][405/535][74662] Loss_D: -0.023053 Loss_G: 0.004136 Loss_D_real: -0.009680 Loss_D_fake 0.013374
[725/5000][410/535][74663] Loss_D: -0.024966 Loss_G: 0.002520 Loss_D_real: -0.011583 Loss_D_fake 0.013383
[725/5000][415/535][74664] Loss_D: -0.023662 Loss_G: 0.005398 Loss_D_real: -0.015251 Loss_D_fake 0.008411
[725/5000][420/535][74665] Loss_D: -0.024118 Loss_G: 0.023652 Loss_D_real: -0.024389 Loss_D_fake -0.000272
[725/5000][425/535][74666] Loss_D: -0.024837 Loss_G: -0.003247 Loss_D_real: -0.018207 Loss_D_fake 0.006631
[725/5000][430/535][74667] Loss_D: -0.024591 Loss_G: -0.002240 Loss_D_real: -0.019625 Loss_D_fake 0.004966
[725/5000][435/535][74668] Loss_D: -0.024327 Loss_G: 0.021268 Loss_D_real: -0.029791 Loss_D_fake -0.005464
[725/5000][440/535][74669] Loss_D: -0.023892 Loss_G: -0.002799 Loss_D_real: -0.022654 Loss_D_fake 0.001239
[725/5000][445/535][74670] Loss_D: -0.025219 Loss_G: -0.006402 Loss_D_real: -0.001837 Loss_D_fake 0.023382
[725/5000][450/535][74671] Loss_D: -0.025220 Loss_G: 0.023535 Loss_D_real: -0.024839 Loss_D_fake 0.000381
[725/5000][455/535][74672] Loss_D: -0.023920 Loss_G: 0.022848 Loss_D_real: -0.027247 Loss_D_fake -0.003327
[725/5000][460/535][74673] Loss_D: -0.024071 Loss_G: 0.002255 Loss_D_real: -0.007638 Loss_D_fake 0.016433
[725/5000][465/535][74674] Loss_D: -0.023698 Loss_G: 0.009634 Loss_D_real: -0.010531 Loss_D_fake 0.013167
[725/5000][470/535][74675] Loss_D: -0.023408 Loss_G: -0.010914 Loss_D_real: -0.012983 Loss_D_fake 0.010424
[725/5000][475/535][74676] Loss_D: -0.023716 Loss_G: 0.019769 Loss_D_real: -0.027814 Loss_D_fake -0.004098
[725/5000][480/535][74677] Loss_D: -0.024627 Loss_G: -0.001974 Loss_D_real: -0.009980 Loss_D_fake 0.014647
[725/5000][485/535][74678] Loss_D: -0.024114 Loss_G: 0.005467 Loss_D_real: -0.014623 Loss_D_fake 0.009491
[725/5000][490/535][74679] Loss_D: -0.023839 Loss_G: 0.019208 Loss_D_real: -0.030709 Loss_D_fake -0.006870
[725/5000][495/535][74680] Loss_D: -0.025066 Loss_G: 0.013566 Loss_D_real: -0.023897 Loss_D_fake 0.001169
[725/5000][500/535][74681] Loss_D: -0.023839 Loss_G: -0.001631 Loss_D_real: -0.007859 Loss_D_fake 0.015981
[725/5000][505/535][74682] Loss_D: -0.024429 Loss_G: 0.013425 Loss_D_real: -0.028049 Loss_D_fake -0.003620
[725/5000][510/535][74683] Loss_D: -0.025883 Loss_G: -0.004866 Loss_D_real: -0.016447 Loss_D_fake 0.009437
[725/5000][515/535][74684] Loss_D: -0.026013 Loss_G: 0.012380 Loss_D_real: -0.018001 Loss_D_fake 0.008012
[725/5000][520/535][74685] Loss_D: -0.024257 Loss_G: 0.014200 Loss_D_real: -0.028971 Loss_D_fake -0.004714
[725/5000][525/535][74686] Loss_D: -0.024744 Loss_G: -0.003094 Loss_D_real: -0.010111 Loss_D_fake 0.014633
[725/5000][530/535][74687] Loss_D: -0.022866 Loss_G: 0.016420 Loss_D_real: -0.017437 Loss_D_fake 0.005428
[725/5000][535/535][74688] Loss_D: -0.022536 Loss_G: 0.036645 Loss_D_real: -0.025420 Loss_D_fake -0.002884
[726/5000][5/535][74689] Loss_D: -0.024041 Loss_G: 0.020898 Loss_D_real: -0.025633 Loss_D_fake -0.001592
[726/5000][10/535][74690] Loss_D: -0.024138 Loss_G: 0.022096 Loss_D_real: -0.018776 Loss_D_fake 0.005362
[726/5000][15/535][74691] Loss_D: -0.023334 Loss_G: 0.025941 Loss_D_real: -0.033572 Loss_D_fake -0.010238
[726/5000][20/535][74692] Loss_D: -0.024217 Loss_G: 0.021176 Loss_D_real: -0.022969 Loss_D_fake 0.001248
[726/5000][25/535][74693] Loss_D: -0.024437 Loss_G: 0.001274 Loss_D_real: -0.007578 Loss_D_fake 0.016859
[726/5000][30/535][74694] Loss_D: -0.022748 Loss_G: 0.021730 Loss_D_real: -0.031903 Loss_D_fake -0.009155
[726/5000][35/535][74695] Loss_D: -0.023745 Loss_G: 0.000234 Loss_D_real: -0.007485 Loss_D_fake 0.016261
[726/5000][40/535][74696] Loss_D: -0.024781 Loss_G: -0.009267 Loss_D_real: -0.006217 Loss_D_fake 0.018564
[726/5000][45/535][74697] Loss_D: -0.023820 Loss_G: 0.013691 Loss_D_real: -0.018761 Loss_D_fake 0.005059
[726/5000][50/535][74698] Loss_D: -0.023553 Loss_G: 0.007902 Loss_D_real: -0.017946 Loss_D_fake 0.005607
[726/5000][55/535][74699] Loss_D: -0.023497 Loss_G: 0.003830 Loss_D_real: -0.021457 Loss_D_fake 0.002039
[726/5000][60/535][74700] Loss_D: -0.023243 Loss_G: 0.011798 Loss_D_real: -0.021118 Loss_D_fake 0.002125
[726/5000][65/535][74701] Loss_D: -0.023873 Loss_G: 0.010467 Loss_D_real: -0.029351 Loss_D_fake -0.005479
[726/5000][70/535][74702] Loss_D: -0.025081 Loss_G: 0.016909 Loss_D_real: -0.013994 Loss_D_fake 0.011087
[726/5000][75/535][74703] Loss_D: -0.023257 Loss_G: 0.003849 Loss_D_real: -0.024038 Loss_D_fake -0.000781
[726/5000][80/535][74704] Loss_D: -0.024147 Loss_G: 0.014304 Loss_D_real: -0.018048 Loss_D_fake 0.006100
[726/5000][85/535][74705] Loss_D: -0.023101 Loss_G: 0.020362 Loss_D_real: -0.021660 Loss_D_fake 0.001441
[726/5000][90/535][74706] Loss_D: -0.023788 Loss_G: 0.022829 Loss_D_real: -0.016645 Loss_D_fake 0.007143
[726/5000][95/535][74707] Loss_D: -0.024952 Loss_G: 0.008835 Loss_D_real: -0.018076 Loss_D_fake 0.006876
[726/5000][100/535][74708] Loss_D: -0.023661 Loss_G: 0.011327 Loss_D_real: -0.034158 Loss_D_fake -0.010497
[726/5000][105/535][74709] Loss_D: -0.023234 Loss_G: 0.020944 Loss_D_real: -0.026222 Loss_D_fake -0.002987
[726/5000][110/535][74710] Loss_D: -0.023207 Loss_G: 0.010135 Loss_D_real: -0.029661 Loss_D_fake -0.006454
[726/5000][115/535][74711] Loss_D: -0.025264 Loss_G: -0.005999 Loss_D_real: -0.011825 Loss_D_fake 0.013439
[726/5000][120/535][74712] Loss_D: -0.023029 Loss_G: 0.012957 Loss_D_real: -0.024779 Loss_D_fake -0.001750
[726/5000][125/535][74713] Loss_D: -0.023490 Loss_G: -0.002839 Loss_D_real: -0.010143 Loss_D_fake 0.013347
[726/5000][130/535][74714] Loss_D: -0.024100 Loss_G: -0.011010 Loss_D_real: -0.005753 Loss_D_fake 0.018346
[726/5000][135/535][74715] Loss_D: -0.024063 Loss_G: 0.025299 Loss_D_real: -0.025682 Loss_D_fake -0.001618
[726/5000][140/535][74716] Loss_D: -0.024530 Loss_G: 0.028056 Loss_D_real: -0.030530 Loss_D_fake -0.006000
[726/5000][145/535][74717] Loss_D: -0.024120 Loss_G: 0.000530 Loss_D_real: -0.019607 Loss_D_fake 0.004513
[726/5000][150/535][74718] Loss_D: -0.023305 Loss_G: 0.005515 Loss_D_real: -0.032036 Loss_D_fake -0.008731
[726/5000][155/535][74719] Loss_D: -0.024360 Loss_G: -0.004564 Loss_D_real: -0.015347 Loss_D_fake 0.009014
[726/5000][160/535][74720] Loss_D: -0.024297 Loss_G: 0.007195 Loss_D_real: -0.009910 Loss_D_fake 0.014387
[726/5000][165/535][74721] Loss_D: -0.024930 Loss_G: 0.028912 Loss_D_real: -0.032883 Loss_D_fake -0.007952
[726/5000][170/535][74722] Loss_D: -0.023125 Loss_G: 0.002898 Loss_D_real: -0.028959 Loss_D_fake -0.005835
[726/5000][175/535][74723] Loss_D: -0.024013 Loss_G: -0.003611 Loss_D_real: -0.010169 Loss_D_fake 0.013845
[726/5000][180/535][74724] Loss_D: -0.024528 Loss_G: 0.022108 Loss_D_real: -0.011609 Loss_D_fake 0.012919
[726/5000][185/535][74725] Loss_D: -0.024178 Loss_G: 0.041590 Loss_D_real: -0.031681 Loss_D_fake -0.007503
[726/5000][190/535][74726] Loss_D: -0.023198 Loss_G: 0.003783 Loss_D_real: -0.010969 Loss_D_fake 0.012229
[726/5000][195/535][74727] Loss_D: -0.024945 Loss_G: 0.012173 Loss_D_real: -0.031235 Loss_D_fake -0.006290
[726/5000][200/535][74728] Loss_D: -0.024520 Loss_G: -0.014076 Loss_D_real: -0.006829 Loss_D_fake 0.017691
[726/5000][205/535][74729] Loss_D: -0.024300 Loss_G: 0.022075 Loss_D_real: -0.030922 Loss_D_fake -0.006623
[726/5000][210/535][74730] Loss_D: -0.023848 Loss_G: 0.025825 Loss_D_real: -0.027057 Loss_D_fake -0.003209
[726/5000][215/535][74731] Loss_D: -0.024805 Loss_G: 0.013223 Loss_D_real: -0.027159 Loss_D_fake -0.002354
[726/5000][220/535][74732] Loss_D: -0.024721 Loss_G: -0.008911 Loss_D_real: -0.010433 Loss_D_fake 0.014289
[726/5000][225/535][74733] Loss_D: -0.024861 Loss_G: 0.015832 Loss_D_real: -0.025657 Loss_D_fake -0.000796
[726/5000][230/535][74734] Loss_D: -0.025085 Loss_G: 0.018447 Loss_D_real: -0.022243 Loss_D_fake 0.002843
[726/5000][235/535][74735] Loss_D: -0.024762 Loss_G: 0.018595 Loss_D_real: -0.023495 Loss_D_fake 0.001267
[726/5000][240/535][74736] Loss_D: -0.024210 Loss_G: 0.015354 Loss_D_real: -0.017622 Loss_D_fake 0.006588
[726/5000][245/535][74737] Loss_D: -0.023951 Loss_G: 0.000568 Loss_D_real: -0.014433 Loss_D_fake 0.009518
[726/5000][250/535][74738] Loss_D: -0.024006 Loss_G: -0.011322 Loss_D_real: 0.005548 Loss_D_fake 0.029553
[726/5000][255/535][74739] Loss_D: -0.025093 Loss_G: 0.000936 Loss_D_real: -0.026089 Loss_D_fake -0.000996
[726/5000][260/535][74740] Loss_D: -0.024270 Loss_G: 0.015133 Loss_D_real: -0.017242 Loss_D_fake 0.007027
[726/5000][265/535][74741] Loss_D: -0.023951 Loss_G: -0.010892 Loss_D_real: 0.000466 Loss_D_fake 0.024417
[726/5000][270/535][74742] Loss_D: -0.023758 Loss_G: 0.021011 Loss_D_real: -0.025867 Loss_D_fake -0.002109
[726/5000][275/535][74743] Loss_D: -0.023270 Loss_G: -0.001842 Loss_D_real: -0.007190 Loss_D_fake 0.016080
[726/5000][280/535][74744] Loss_D: -0.023700 Loss_G: 0.007394 Loss_D_real: -0.022085 Loss_D_fake 0.001614
[726/5000][285/535][74745] Loss_D: -0.023862 Loss_G: -0.002450 Loss_D_real: -0.004427 Loss_D_fake 0.019435
[726/5000][290/535][74746] Loss_D: -0.024450 Loss_G: 0.014795 Loss_D_real: -0.017264 Loss_D_fake 0.007186
[726/5000][295/535][74747] Loss_D: -0.024964 Loss_G: 0.000842 Loss_D_real: -0.007434 Loss_D_fake 0.017530
[726/5000][300/535][74748] Loss_D: -0.023990 Loss_G: 0.004636 Loss_D_real: -0.022891 Loss_D_fake 0.001099
[726/5000][305/535][74749] Loss_D: -0.023943 Loss_G: 0.028985 Loss_D_real: -0.026141 Loss_D_fake -0.002198
[726/5000][310/535][74750] Loss_D: -0.024752 Loss_G: 0.016145 Loss_D_real: -0.025027 Loss_D_fake -0.000275
[726/5000][315/535][74751] Loss_D: -0.022859 Loss_G: -0.007316 Loss_D_real: -0.002895 Loss_D_fake 0.019965
[726/5000][320/535][74752] Loss_D: -0.024287 Loss_G: 0.016556 Loss_D_real: -0.023980 Loss_D_fake 0.000307
[726/5000][325/535][74753] Loss_D: -0.023843 Loss_G: 0.008556 Loss_D_real: -0.019689 Loss_D_fake 0.004154
[726/5000][330/535][74754] Loss_D: -0.022673 Loss_G: 0.034992 Loss_D_real: -0.033339 Loss_D_fake -0.010666
[726/5000][335/535][74755] Loss_D: -0.023347 Loss_G: 0.004982 Loss_D_real: -0.016270 Loss_D_fake 0.007077
[726/5000][340/535][74756] Loss_D: -0.023748 Loss_G: 0.010672 Loss_D_real: -0.027828 Loss_D_fake -0.004081
[726/5000][345/535][74757] Loss_D: -0.024607 Loss_G: 0.013208 Loss_D_real: -0.022154 Loss_D_fake 0.002453
[726/5000][350/535][74758] Loss_D: -0.022829 Loss_G: 0.016884 Loss_D_real: -0.015099 Loss_D_fake 0.007731
[726/5000][355/535][74759] Loss_D: -0.023904 Loss_G: 0.013208 Loss_D_real: -0.034314 Loss_D_fake -0.010411
[726/5000][360/535][74760] Loss_D: -0.023982 Loss_G: 0.006648 Loss_D_real: -0.026851 Loss_D_fake -0.002870
[726/5000][365/535][74761] Loss_D: -0.025005 Loss_G: -0.004047 Loss_D_real: -0.007467 Loss_D_fake 0.017537
[726/5000][370/535][74762] Loss_D: -0.022886 Loss_G: 0.018632 Loss_D_real: -0.028080 Loss_D_fake -0.005194
[726/5000][375/535][74763] Loss_D: -0.025857 Loss_G: -0.006090 Loss_D_real: -0.023221 Loss_D_fake 0.002636
[726/5000][380/535][74764] Loss_D: -0.023824 Loss_G: 0.016283 Loss_D_real: -0.029054 Loss_D_fake -0.005230
[726/5000][385/535][74765] Loss_D: -0.022966 Loss_G: 0.019978 Loss_D_real: -0.023203 Loss_D_fake -0.000236
[726/5000][390/535][74766] Loss_D: -0.025168 Loss_G: 0.007382 Loss_D_real: -0.009283 Loss_D_fake 0.015885
[726/5000][395/535][74767] Loss_D: -0.023754 Loss_G: 0.019589 Loss_D_real: -0.026510 Loss_D_fake -0.002756
[726/5000][400/535][74768] Loss_D: -0.023141 Loss_G: 0.015088 Loss_D_real: -0.026758 Loss_D_fake -0.003617
[726/5000][405/535][74769] Loss_D: -0.023938 Loss_G: 0.013653 Loss_D_real: -0.024589 Loss_D_fake -0.000652
[726/5000][410/535][74770] Loss_D: -0.024162 Loss_G: 0.004223 Loss_D_real: -0.023740 Loss_D_fake 0.000422
[726/5000][415/535][74771] Loss_D: -0.025523 Loss_G: 0.014169 Loss_D_real: -0.020820 Loss_D_fake 0.004703
[726/5000][420/535][74772] Loss_D: -0.022548 Loss_G: 0.015782 Loss_D_real: -0.013092 Loss_D_fake 0.009456
[726/5000][425/535][74773] Loss_D: -0.024860 Loss_G: 0.018812 Loss_D_real: -0.012624 Loss_D_fake 0.012235
[726/5000][430/535][74774] Loss_D: -0.023186 Loss_G: -0.002347 Loss_D_real: -0.010278 Loss_D_fake 0.012908
[726/5000][435/535][74775] Loss_D: -0.023486 Loss_G: -0.001953 Loss_D_real: -0.014021 Loss_D_fake 0.009465
[726/5000][440/535][74776] Loss_D: -0.023445 Loss_G: 0.022753 Loss_D_real: -0.029885 Loss_D_fake -0.006440
[726/5000][445/535][74777] Loss_D: -0.022896 Loss_G: 0.013667 Loss_D_real: -0.014567 Loss_D_fake 0.008328
[726/5000][450/535][74778] Loss_D: -0.023213 Loss_G: 0.002662 Loss_D_real: -0.009745 Loss_D_fake 0.013468
[726/5000][455/535][74779] Loss_D: -0.023308 Loss_G: 0.004469 Loss_D_real: -0.016034 Loss_D_fake 0.007274
[726/5000][460/535][74780] Loss_D: -0.023820 Loss_G: 0.013455 Loss_D_real: -0.020878 Loss_D_fake 0.002942
[726/5000][465/535][74781] Loss_D: -0.024263 Loss_G: 0.021765 Loss_D_real: -0.033765 Loss_D_fake -0.009502
[726/5000][470/535][74782] Loss_D: -0.024563 Loss_G: 0.020697 Loss_D_real: -0.019017 Loss_D_fake 0.005546
[726/5000][475/535][74783] Loss_D: -0.022556 Loss_G: 0.020111 Loss_D_real: -0.030505 Loss_D_fake -0.007948
[726/5000][480/535][74784] Loss_D: -0.022802 Loss_G: 0.007056 Loss_D_real: -0.027123 Loss_D_fake -0.004321
[726/5000][485/535][74785] Loss_D: -0.023755 Loss_G: -0.014255 Loss_D_real: -0.007399 Loss_D_fake 0.016356
[726/5000][490/535][74786] Loss_D: -0.023553 Loss_G: 0.014996 Loss_D_real: -0.016428 Loss_D_fake 0.007125
[726/5000][495/535][74787] Loss_D: -0.023788 Loss_G: 0.004783 Loss_D_real: -0.012342 Loss_D_fake 0.011446
[726/5000][500/535][74788] Loss_D: -0.024114 Loss_G: 0.028350 Loss_D_real: -0.034165 Loss_D_fake -0.010051
[726/5000][505/535][74789] Loss_D: -0.024368 Loss_G: 0.010956 Loss_D_real: -0.023827 Loss_D_fake 0.000541
[726/5000][510/535][74790] Loss_D: -0.024045 Loss_G: 0.012015 Loss_D_real: -0.025816 Loss_D_fake -0.001771
[726/5000][515/535][74791] Loss_D: -0.025384 Loss_G: 0.010856 Loss_D_real: -0.021724 Loss_D_fake 0.003660
[726/5000][520/535][74792] Loss_D: -0.023167 Loss_G: 0.014342 Loss_D_real: -0.016831 Loss_D_fake 0.006336
[726/5000][525/535][74793] Loss_D: -0.024054 Loss_G: 0.026171 Loss_D_real: -0.029070 Loss_D_fake -0.005015
[726/5000][530/535][74794] Loss_D: -0.022920 Loss_G: 0.025176 Loss_D_real: -0.039502 Loss_D_fake -0.016582
[726/5000][535/535][74795] Loss_D: -0.022581 Loss_G: -0.012671 Loss_D_real: 0.000901 Loss_D_fake 0.023482
[727/5000][5/535][74796] Loss_D: -0.024248 Loss_G: 0.016137 Loss_D_real: -0.031756 Loss_D_fake -0.007508
[727/5000][10/535][74797] Loss_D: -0.024880 Loss_G: 0.003936 Loss_D_real: -0.021028 Loss_D_fake 0.003853
[727/5000][15/535][74798] Loss_D: -0.025636 Loss_G: 0.025096 Loss_D_real: -0.024890 Loss_D_fake 0.000746
[727/5000][20/535][74799] Loss_D: -0.025476 Loss_G: 0.016604 Loss_D_real: -0.019643 Loss_D_fake 0.005832
[727/5000][25/535][74800] Loss_D: -0.024708 Loss_G: 0.016886 Loss_D_real: -0.021604 Loss_D_fake 0.003103
[727/5000][30/535][74801] Loss_D: -0.024182 Loss_G: 0.002535 Loss_D_real: -0.002490 Loss_D_fake 0.021693
[727/5000][35/535][74802] Loss_D: -0.025299 Loss_G: 0.007461 Loss_D_real: -0.020723 Loss_D_fake 0.004576
[727/5000][40/535][74803] Loss_D: -0.023577 Loss_G: -0.014525 Loss_D_real: -0.016119 Loss_D_fake 0.007458
[727/5000][45/535][74804] Loss_D: -0.023624 Loss_G: 0.014962 Loss_D_real: -0.018747 Loss_D_fake 0.004878
[727/5000][50/535][74805] Loss_D: -0.022477 Loss_G: 0.034170 Loss_D_real: -0.038898 Loss_D_fake -0.016421
[727/5000][55/535][74806] Loss_D: -0.023834 Loss_G: 0.003580 Loss_D_real: -0.014648 Loss_D_fake 0.009186
[727/5000][60/535][74807] Loss_D: -0.024189 Loss_G: 0.014498 Loss_D_real: -0.017906 Loss_D_fake 0.006282
[727/5000][65/535][74808] Loss_D: -0.024686 Loss_G: 0.000972 Loss_D_real: -0.019407 Loss_D_fake 0.005279
[727/5000][70/535][74809] Loss_D: -0.023350 Loss_G: 0.015009 Loss_D_real: -0.022826 Loss_D_fake 0.000524
[727/5000][75/535][74810] Loss_D: -0.023145 Loss_G: 0.013173 Loss_D_real: -0.022660 Loss_D_fake 0.000485
[727/5000][80/535][74811] Loss_D: -0.024463 Loss_G: 0.006470 Loss_D_real: -0.019697 Loss_D_fake 0.004766
[727/5000][85/535][74812] Loss_D: -0.023810 Loss_G: 0.027975 Loss_D_real: -0.031848 Loss_D_fake -0.008038
[727/5000][90/535][74813] Loss_D: -0.025417 Loss_G: 0.013784 Loss_D_real: -0.001647 Loss_D_fake 0.023770
[727/5000][95/535][74814] Loss_D: -0.023733 Loss_G: -0.013782 Loss_D_real: -0.010029 Loss_D_fake 0.013704
[727/5000][100/535][74815] Loss_D: -0.024075 Loss_G: -0.007179 Loss_D_real: -0.023289 Loss_D_fake 0.000787
[727/5000][105/535][74816] Loss_D: -0.023666 Loss_G: 0.021818 Loss_D_real: -0.017740 Loss_D_fake 0.005927
[727/5000][110/535][74817] Loss_D: -0.023959 Loss_G: -0.005453 Loss_D_real: -0.010036 Loss_D_fake 0.013923
[727/5000][115/535][74818] Loss_D: -0.021711 Loss_G: 0.024002 Loss_D_real: -0.038315 Loss_D_fake -0.016604
[727/5000][120/535][74819] Loss_D: -0.022975 Loss_G: 0.011131 Loss_D_real: -0.024894 Loss_D_fake -0.001920
[727/5000][125/535][74820] Loss_D: -0.023263 Loss_G: 0.025685 Loss_D_real: -0.029710 Loss_D_fake -0.006447
[727/5000][130/535][74821] Loss_D: -0.024225 Loss_G: -0.015066 Loss_D_real: -0.010243 Loss_D_fake 0.013982
[727/5000][135/535][74822] Loss_D: -0.023142 Loss_G: -0.000506 Loss_D_real: -0.013290 Loss_D_fake 0.009852
[727/5000][140/535][74823] Loss_D: -0.023646 Loss_G: 0.008648 Loss_D_real: -0.015684 Loss_D_fake 0.007962
[727/5000][145/535][74824] Loss_D: -0.024446 Loss_G: 0.021578 Loss_D_real: -0.029214 Loss_D_fake -0.004768
[727/5000][150/535][74825] Loss_D: -0.024457 Loss_G: 0.007887 Loss_D_real: -0.019636 Loss_D_fake 0.004821
[727/5000][155/535][74826] Loss_D: -0.023240 Loss_G: -0.000007 Loss_D_real: -0.005583 Loss_D_fake 0.017658
[727/5000][160/535][74827] Loss_D: -0.023903 Loss_G: 0.002743 Loss_D_real: -0.012714 Loss_D_fake 0.011188
[727/5000][165/535][74828] Loss_D: -0.023798 Loss_G: 0.014807 Loss_D_real: -0.029641 Loss_D_fake -0.005844
[727/5000][170/535][74829] Loss_D: -0.024746 Loss_G: 0.015079 Loss_D_real: -0.015043 Loss_D_fake 0.009703
[727/5000][175/535][74830] Loss_D: -0.023825 Loss_G: 0.018538 Loss_D_real: -0.030623 Loss_D_fake -0.006798
[727/5000][180/535][74831] Loss_D: -0.024937 Loss_G: 0.035640 Loss_D_real: -0.029132 Loss_D_fake -0.004196
[727/5000][185/535][74832] Loss_D: -0.024185 Loss_G: 0.004521 Loss_D_real: -0.019716 Loss_D_fake 0.004469
[727/5000][190/535][74833] Loss_D: -0.025627 Loss_G: 0.011976 Loss_D_real: -0.019144 Loss_D_fake 0.006483
[727/5000][195/535][74834] Loss_D: -0.024305 Loss_G: 0.004103 Loss_D_real: -0.027636 Loss_D_fake -0.003331
[727/5000][200/535][74835] Loss_D: -0.024418 Loss_G: 0.005734 Loss_D_real: -0.013020 Loss_D_fake 0.011398
[727/5000][205/535][74836] Loss_D: -0.023546 Loss_G: 0.022290 Loss_D_real: -0.028045 Loss_D_fake -0.004499
[727/5000][210/535][74837] Loss_D: -0.023870 Loss_G: -0.008418 Loss_D_real: -0.007836 Loss_D_fake 0.016033
[727/5000][215/535][74838] Loss_D: -0.023898 Loss_G: 0.023761 Loss_D_real: -0.024018 Loss_D_fake -0.000120
[727/5000][220/535][74839] Loss_D: -0.024483 Loss_G: -0.002149 Loss_D_real: -0.013153 Loss_D_fake 0.011330
[727/5000][225/535][74840] Loss_D: -0.025323 Loss_G: -0.000919 Loss_D_real: -0.012955 Loss_D_fake 0.012368
[727/5000][230/535][74841] Loss_D: -0.023800 Loss_G: 0.018078 Loss_D_real: -0.025300 Loss_D_fake -0.001499
[727/5000][235/535][74842] Loss_D: -0.023752 Loss_G: 0.018483 Loss_D_real: -0.031093 Loss_D_fake -0.007341
[727/5000][240/535][74843] Loss_D: -0.025012 Loss_G: -0.011424 Loss_D_real: -0.014847 Loss_D_fake 0.010165
[727/5000][245/535][74844] Loss_D: -0.022222 Loss_G: 0.030086 Loss_D_real: -0.029505 Loss_D_fake -0.007283
[727/5000][250/535][74845] Loss_D: -0.023387 Loss_G: 0.011930 Loss_D_real: -0.020547 Loss_D_fake 0.002840
[727/5000][255/535][74846] Loss_D: -0.024420 Loss_G: -0.003506 Loss_D_real: -0.011780 Loss_D_fake 0.012640
[727/5000][260/535][74847] Loss_D: -0.023573 Loss_G: 0.020919 Loss_D_real: -0.024693 Loss_D_fake -0.001120
[727/5000][265/535][74848] Loss_D: -0.023422 Loss_G: 0.016604 Loss_D_real: -0.028015 Loss_D_fake -0.004593
[727/5000][270/535][74849] Loss_D: -0.024179 Loss_G: 0.007939 Loss_D_real: -0.016292 Loss_D_fake 0.007887
[727/5000][275/535][74850] Loss_D: -0.023999 Loss_G: 0.013122 Loss_D_real: -0.020872 Loss_D_fake 0.003126
[727/5000][280/535][74851] Loss_D: -0.024288 Loss_G: 0.005640 Loss_D_real: -0.017200 Loss_D_fake 0.007087
[727/5000][285/535][74852] Loss_D: -0.023805 Loss_G: 0.016274 Loss_D_real: -0.017706 Loss_D_fake 0.006099
[727/5000][290/535][74853] Loss_D: -0.025257 Loss_G: 0.016803 Loss_D_real: -0.026464 Loss_D_fake -0.001207
[727/5000][295/535][74854] Loss_D: -0.022674 Loss_G: -0.016696 Loss_D_real: -0.001696 Loss_D_fake 0.020978
[727/5000][300/535][74855] Loss_D: -0.023743 Loss_G: 0.020325 Loss_D_real: -0.025885 Loss_D_fake -0.002142
[727/5000][305/535][74856] Loss_D: -0.023800 Loss_G: -0.000737 Loss_D_real: -0.015080 Loss_D_fake 0.008720
[727/5000][310/535][74857] Loss_D: -0.025097 Loss_G: 0.006388 Loss_D_real: -0.013980 Loss_D_fake 0.011117
[727/5000][315/535][74858] Loss_D: -0.023926 Loss_G: 0.013139 Loss_D_real: -0.017996 Loss_D_fake 0.005930
[727/5000][320/535][74859] Loss_D: -0.024326 Loss_G: 0.001170 Loss_D_real: -0.005169 Loss_D_fake 0.019157
[727/5000][325/535][74860] Loss_D: -0.024632 Loss_G: -0.004551 Loss_D_real: -0.006951 Loss_D_fake 0.017681
[727/5000][330/535][74861] Loss_D: -0.024714 Loss_G: -0.001942 Loss_D_real: -0.012539 Loss_D_fake 0.012175
[727/5000][335/535][74862] Loss_D: -0.023602 Loss_G: 0.026818 Loss_D_real: -0.037403 Loss_D_fake -0.013801
[727/5000][340/535][74863] Loss_D: -0.022241 Loss_G: -0.020696 Loss_D_real: -0.000233 Loss_D_fake 0.022008
[727/5000][345/535][74864] Loss_D: -0.024246 Loss_G: 0.011842 Loss_D_real: -0.012639 Loss_D_fake 0.011607
[727/5000][350/535][74865] Loss_D: -0.025684 Loss_G: 0.013578 Loss_D_real: -0.023752 Loss_D_fake 0.001932
[727/5000][355/535][74866] Loss_D: -0.025096 Loss_G: -0.002670 Loss_D_real: -0.011815 Loss_D_fake 0.013282
[727/5000][360/535][74867] Loss_D: -0.025516 Loss_G: 0.015410 Loss_D_real: -0.017911 Loss_D_fake 0.007605
[727/5000][365/535][74868] Loss_D: -0.022751 Loss_G: -0.009381 Loss_D_real: -0.000052 Loss_D_fake 0.022699
[727/5000][370/535][74869] Loss_D: -0.021879 Loss_G: 0.023882 Loss_D_real: -0.030064 Loss_D_fake -0.008186
[727/5000][375/535][74870] Loss_D: -0.023442 Loss_G: 0.018707 Loss_D_real: -0.026262 Loss_D_fake -0.002821
[727/5000][380/535][74871] Loss_D: -0.023585 Loss_G: 0.010423 Loss_D_real: -0.027089 Loss_D_fake -0.003504
[727/5000][385/535][74872] Loss_D: -0.024109 Loss_G: 0.008424 Loss_D_real: -0.016942 Loss_D_fake 0.007167
[727/5000][390/535][74873] Loss_D: -0.022745 Loss_G: 0.025327 Loss_D_real: -0.032721 Loss_D_fake -0.009976
[727/5000][395/535][74874] Loss_D: -0.023091 Loss_G: -0.005735 Loss_D_real: -0.004561 Loss_D_fake 0.018530
[727/5000][400/535][74875] Loss_D: -0.023219 Loss_G: 0.013035 Loss_D_real: -0.019206 Loss_D_fake 0.004013
[727/5000][405/535][74876] Loss_D: -0.023138 Loss_G: 0.005609 Loss_D_real: -0.008643 Loss_D_fake 0.014495
[727/5000][410/535][74877] Loss_D: -0.021919 Loss_G: 0.023792 Loss_D_real: -0.029905 Loss_D_fake -0.007986
[727/5000][415/535][74878] Loss_D: -0.023085 Loss_G: 0.003377 Loss_D_real: -0.010826 Loss_D_fake 0.012259
[727/5000][420/535][74879] Loss_D: -0.024091 Loss_G: 0.020590 Loss_D_real: -0.027508 Loss_D_fake -0.003417
[727/5000][425/535][74880] Loss_D: -0.024543 Loss_G: 0.007038 Loss_D_real: -0.013796 Loss_D_fake 0.010747
[727/5000][430/535][74881] Loss_D: -0.022942 Loss_G: 0.016644 Loss_D_real: -0.024338 Loss_D_fake -0.001395
[727/5000][435/535][74882] Loss_D: -0.023417 Loss_G: 0.011537 Loss_D_real: -0.020881 Loss_D_fake 0.002536
[727/5000][440/535][74883] Loss_D: -0.021858 Loss_G: 0.017605 Loss_D_real: -0.033477 Loss_D_fake -0.011619
[727/5000][445/535][74884] Loss_D: -0.024036 Loss_G: 0.020283 Loss_D_real: -0.024965 Loss_D_fake -0.000930
[727/5000][450/535][74885] Loss_D: -0.024806 Loss_G: 0.010251 Loss_D_real: -0.017818 Loss_D_fake 0.006988
[727/5000][455/535][74886] Loss_D: -0.024388 Loss_G: -0.007412 Loss_D_real: -0.005982 Loss_D_fake 0.018406
[727/5000][460/535][74887] Loss_D: -0.022960 Loss_G: -0.005647 Loss_D_real: -0.004219 Loss_D_fake 0.018742
[727/5000][465/535][74888] Loss_D: -0.025016 Loss_G: -0.001182 Loss_D_real: -0.010785 Loss_D_fake 0.014231
[727/5000][470/535][74889] Loss_D: -0.024623 Loss_G: 0.036973 Loss_D_real: -0.036995 Loss_D_fake -0.012372
[727/5000][475/535][74890] Loss_D: -0.024020 Loss_G: 0.011613 Loss_D_real: -0.023910 Loss_D_fake 0.000109
[727/5000][480/535][74891] Loss_D: -0.023592 Loss_G: 0.007497 Loss_D_real: -0.022737 Loss_D_fake 0.000855
[727/5000][485/535][74892] Loss_D: -0.025017 Loss_G: -0.001793 Loss_D_real: -0.027674 Loss_D_fake -0.002656
[727/5000][490/535][74893] Loss_D: -0.025129 Loss_G: 0.012709 Loss_D_real: -0.027398 Loss_D_fake -0.002270
[727/5000][495/535][74894] Loss_D: -0.025533 Loss_G: 0.025649 Loss_D_real: -0.024611 Loss_D_fake 0.000922
[727/5000][500/535][74895] Loss_D: -0.022392 Loss_G: -0.012896 Loss_D_real: -0.003278 Loss_D_fake 0.019114
[727/5000][505/535][74896] Loss_D: -0.025186 Loss_G: 0.016255 Loss_D_real: -0.012424 Loss_D_fake 0.012762
[727/5000][510/535][74897] Loss_D: -0.025100 Loss_G: -0.004569 Loss_D_real: -0.015118 Loss_D_fake 0.009982
[727/5000][515/535][74898] Loss_D: -0.023787 Loss_G: 0.010076 Loss_D_real: -0.014440 Loss_D_fake 0.009347
[727/5000][520/535][74899] Loss_D: -0.022373 Loss_G: -0.014124 Loss_D_real: -0.008079 Loss_D_fake 0.014294
[727/5000][525/535][74900] Loss_D: -0.022505 Loss_G: 0.010925 Loss_D_real: -0.023358 Loss_D_fake -0.000853
[727/5000][530/535][74901] Loss_D: -0.024002 Loss_G: 0.013220 Loss_D_real: -0.021010 Loss_D_fake 0.002992
[727/5000][535/535][74902] Loss_D: -0.019453 Loss_G: 0.003183 Loss_D_real: -0.007599 Loss_D_fake 0.011854
[728/5000][5/535][74903] Loss_D: -0.024551 Loss_G: 0.007862 Loss_D_real: -0.017352 Loss_D_fake 0.007198
[728/5000][10/535][74904] Loss_D: -0.023269 Loss_G: -0.002433 Loss_D_real: 0.000594 Loss_D_fake 0.023863
[728/5000][15/535][74905] Loss_D: -0.021806 Loss_G: 0.014524 Loss_D_real: -0.029343 Loss_D_fake -0.007537
[728/5000][20/535][74906] Loss_D: -0.023989 Loss_G: 0.015594 Loss_D_real: -0.019745 Loss_D_fake 0.004244
[728/5000][25/535][74907] Loss_D: -0.023261 Loss_G: 0.017985 Loss_D_real: -0.023436 Loss_D_fake -0.000174
[728/5000][30/535][74908] Loss_D: -0.024354 Loss_G: 0.017695 Loss_D_real: -0.016768 Loss_D_fake 0.007586
[728/5000][35/535][74909] Loss_D: -0.024819 Loss_G: 0.005914 Loss_D_real: -0.011911 Loss_D_fake 0.012908
[728/5000][40/535][74910] Loss_D: -0.022526 Loss_G: 0.006823 Loss_D_real: -0.016341 Loss_D_fake 0.006186
[728/5000][45/535][74911] Loss_D: -0.023112 Loss_G: -0.000014 Loss_D_real: -0.008519 Loss_D_fake 0.014594
[728/5000][50/535][74912] Loss_D: -0.024078 Loss_G: 0.017293 Loss_D_real: -0.034117 Loss_D_fake -0.010039
[728/5000][55/535][74913] Loss_D: -0.023612 Loss_G: -0.008886 Loss_D_real: -0.006427 Loss_D_fake 0.017185
[728/5000][60/535][74914] Loss_D: -0.023076 Loss_G: 0.015766 Loss_D_real: -0.022141 Loss_D_fake 0.000935
[728/5000][65/535][74915] Loss_D: -0.023636 Loss_G: 0.004105 Loss_D_real: -0.017013 Loss_D_fake 0.006622
[728/5000][70/535][74916] Loss_D: -0.024469 Loss_G: -0.000971 Loss_D_real: -0.015724 Loss_D_fake 0.008744
[728/5000][75/535][74917] Loss_D: -0.023512 Loss_G: 0.018553 Loss_D_real: -0.020732 Loss_D_fake 0.002780
[728/5000][80/535][74918] Loss_D: -0.022612 Loss_G: 0.030340 Loss_D_real: -0.034260 Loss_D_fake -0.011647
[728/5000][85/535][74919] Loss_D: -0.023305 Loss_G: -0.010488 Loss_D_real: -0.013321 Loss_D_fake 0.009984
[728/5000][90/535][74920] Loss_D: -0.021461 Loss_G: 0.026209 Loss_D_real: -0.041940 Loss_D_fake -0.020480
[728/5000][95/535][74921] Loss_D: -0.023814 Loss_G: 0.002271 Loss_D_real: -0.016357 Loss_D_fake 0.007457
[728/5000][100/535][74922] Loss_D: -0.022823 Loss_G: -0.011759 Loss_D_real: -0.004276 Loss_D_fake 0.018547
[728/5000][105/535][74923] Loss_D: -0.024001 Loss_G: 0.010169 Loss_D_real: -0.024941 Loss_D_fake -0.000940
[728/5000][110/535][74924] Loss_D: -0.026044 Loss_G: 0.020392 Loss_D_real: -0.025303 Loss_D_fake 0.000741
[728/5000][115/535][74925] Loss_D: -0.023951 Loss_G: 0.025126 Loss_D_real: -0.030104 Loss_D_fake -0.006153
[728/5000][120/535][74926] Loss_D: -0.023640 Loss_G: -0.012471 Loss_D_real: -0.000498 Loss_D_fake 0.023143
[728/5000][125/535][74927] Loss_D: -0.024094 Loss_G: 0.023371 Loss_D_real: -0.024098 Loss_D_fake -0.000004
[728/5000][130/535][74928] Loss_D: -0.024952 Loss_G: -0.004834 Loss_D_real: -0.013423 Loss_D_fake 0.011529
[728/5000][135/535][74929] Loss_D: -0.024601 Loss_G: 0.018373 Loss_D_real: -0.023552 Loss_D_fake 0.001049
[728/5000][140/535][74930] Loss_D: -0.024008 Loss_G: -0.017554 Loss_D_real: -0.002758 Loss_D_fake 0.021250
[728/5000][145/535][74931] Loss_D: -0.023049 Loss_G: 0.021164 Loss_D_real: -0.031947 Loss_D_fake -0.008898
[728/5000][150/535][74932] Loss_D: -0.024677 Loss_G: 0.021153 Loss_D_real: -0.016769 Loss_D_fake 0.007908
[728/5000][155/535][74933] Loss_D: -0.024628 Loss_G: 0.001889 Loss_D_real: -0.019598 Loss_D_fake 0.005030
[728/5000][160/535][74934] Loss_D: -0.024535 Loss_G: -0.004640 Loss_D_real: -0.010904 Loss_D_fake 0.013631
[728/5000][165/535][74935] Loss_D: -0.022744 Loss_G: 0.021959 Loss_D_real: -0.032119 Loss_D_fake -0.009375
[728/5000][170/535][74936] Loss_D: -0.025238 Loss_G: -0.005801 Loss_D_real: -0.011083 Loss_D_fake 0.014154
[728/5000][175/535][74937] Loss_D: -0.023485 Loss_G: 0.023250 Loss_D_real: -0.021614 Loss_D_fake 0.001871
[728/5000][180/535][74938] Loss_D: -0.024898 Loss_G: 0.001104 Loss_D_real: -0.016717 Loss_D_fake 0.008182
[728/5000][185/535][74939] Loss_D: -0.024114 Loss_G: -0.011148 Loss_D_real: 0.006152 Loss_D_fake 0.030266
[728/5000][190/535][74940] Loss_D: -0.023762 Loss_G: 0.000505 Loss_D_real: -0.007786 Loss_D_fake 0.015976
[728/5000][195/535][74941] Loss_D: -0.024545 Loss_G: 0.009247 Loss_D_real: -0.021737 Loss_D_fake 0.002808
[728/5000][200/535][74942] Loss_D: -0.024387 Loss_G: -0.005145 Loss_D_real: -0.007087 Loss_D_fake 0.017301
[728/5000][205/535][74943] Loss_D: -0.024389 Loss_G: 0.013471 Loss_D_real: -0.028557 Loss_D_fake -0.004168
[728/5000][210/535][74944] Loss_D: -0.024474 Loss_G: 0.015723 Loss_D_real: -0.012477 Loss_D_fake 0.011998
[728/5000][215/535][74945] Loss_D: -0.023590 Loss_G: -0.016999 Loss_D_real: -0.008510 Loss_D_fake 0.015079
[728/5000][220/535][74946] Loss_D: -0.023557 Loss_G: 0.021316 Loss_D_real: -0.030924 Loss_D_fake -0.007367
[728/5000][225/535][74947] Loss_D: -0.023291 Loss_G: 0.000552 Loss_D_real: -0.010397 Loss_D_fake 0.012894
[728/5000][230/535][74948] Loss_D: -0.025415 Loss_G: 0.022549 Loss_D_real: -0.020521 Loss_D_fake 0.004893
[728/5000][235/535][74949] Loss_D: -0.023896 Loss_G: 0.021769 Loss_D_real: -0.013598 Loss_D_fake 0.010298
[728/5000][240/535][74950] Loss_D: -0.024310 Loss_G: 0.022932 Loss_D_real: -0.010485 Loss_D_fake 0.013825
[728/5000][245/535][74951] Loss_D: -0.024630 Loss_G: 0.008549 Loss_D_real: -0.019826 Loss_D_fake 0.004804
[728/5000][250/535][74952] Loss_D: -0.024687 Loss_G: 0.016259 Loss_D_real: -0.020048 Loss_D_fake 0.004639
[728/5000][255/535][74953] Loss_D: -0.023459 Loss_G: -0.004185 Loss_D_real: -0.013121 Loss_D_fake 0.010337
[728/5000][260/535][74954] Loss_D: -0.021822 Loss_G: -0.009891 Loss_D_real: 0.005897 Loss_D_fake 0.027719
[728/5000][265/535][74955] Loss_D: -0.024730 Loss_G: 0.020504 Loss_D_real: -0.026032 Loss_D_fake -0.001303
[728/5000][270/535][74956] Loss_D: -0.024036 Loss_G: 0.012486 Loss_D_real: -0.024453 Loss_D_fake -0.000417
[728/5000][275/535][74957] Loss_D: -0.023683 Loss_G: 0.003749 Loss_D_real: -0.014103 Loss_D_fake 0.009580
[728/5000][280/535][74958] Loss_D: -0.023123 Loss_G: 0.003385 Loss_D_real: -0.016458 Loss_D_fake 0.006664
[728/5000][285/535][74959] Loss_D: -0.022819 Loss_G: 0.015367 Loss_D_real: -0.022107 Loss_D_fake 0.000712
[728/5000][290/535][74960] Loss_D: -0.024567 Loss_G: -0.004658 Loss_D_real: -0.010638 Loss_D_fake 0.013930
[728/5000][295/535][74961] Loss_D: -0.022134 Loss_G: 0.004268 Loss_D_real: -0.022352 Loss_D_fake -0.000217
[728/5000][300/535][74962] Loss_D: -0.024222 Loss_G: 0.018509 Loss_D_real: -0.012768 Loss_D_fake 0.011454
[728/5000][305/535][74963] Loss_D: -0.023076 Loss_G: 0.009783 Loss_D_real: -0.028582 Loss_D_fake -0.005505
[728/5000][310/535][74964] Loss_D: -0.023852 Loss_G: 0.014658 Loss_D_real: -0.024069 Loss_D_fake -0.000217
[728/5000][315/535][74965] Loss_D: -0.023350 Loss_G: 0.028612 Loss_D_real: -0.024191 Loss_D_fake -0.000841
[728/5000][320/535][74966] Loss_D: -0.022662 Loss_G: 0.017848 Loss_D_real: -0.013706 Loss_D_fake 0.008956
[728/5000][325/535][74967] Loss_D: -0.023288 Loss_G: 0.014227 Loss_D_real: -0.018862 Loss_D_fake 0.004426
[728/5000][330/535][74968] Loss_D: -0.023572 Loss_G: 0.009116 Loss_D_real: -0.014889 Loss_D_fake 0.008683
[728/5000][335/535][74969] Loss_D: -0.023842 Loss_G: -0.009687 Loss_D_real: -0.012765 Loss_D_fake 0.011077
[728/5000][340/535][74970] Loss_D: -0.023792 Loss_G: 0.009304 Loss_D_real: -0.017014 Loss_D_fake 0.006778
[728/5000][345/535][74971] Loss_D: -0.023228 Loss_G: 0.010150 Loss_D_real: -0.022036 Loss_D_fake 0.001193
[728/5000][350/535][74972] Loss_D: -0.023458 Loss_G: 0.013011 Loss_D_real: -0.030927 Loss_D_fake -0.007469
[728/5000][355/535][74973] Loss_D: -0.024617 Loss_G: -0.006944 Loss_D_real: -0.004692 Loss_D_fake 0.019925
[728/5000][360/535][74974] Loss_D: -0.023825 Loss_G: 0.014109 Loss_D_real: -0.021938 Loss_D_fake 0.001888
[728/5000][365/535][74975] Loss_D: -0.023727 Loss_G: -0.000490 Loss_D_real: 0.002033 Loss_D_fake 0.025760
[728/5000][370/535][74976] Loss_D: -0.023488 Loss_G: 0.023773 Loss_D_real: -0.029277 Loss_D_fake -0.005788
[728/5000][375/535][74977] Loss_D: -0.024995 Loss_G: 0.007946 Loss_D_real: -0.010719 Loss_D_fake 0.014276
[728/5000][380/535][74978] Loss_D: -0.025250 Loss_G: 0.016281 Loss_D_real: -0.029619 Loss_D_fake -0.004369
[728/5000][385/535][74979] Loss_D: -0.024633 Loss_G: -0.010627 Loss_D_real: -0.010617 Loss_D_fake 0.014016
[728/5000][390/535][74980] Loss_D: -0.025123 Loss_G: 0.001704 Loss_D_real: -0.015486 Loss_D_fake 0.009637
[728/5000][395/535][74981] Loss_D: -0.023507 Loss_G: 0.004903 Loss_D_real: -0.015271 Loss_D_fake 0.008235
[728/5000][400/535][74982] Loss_D: -0.024432 Loss_G: -0.007185 Loss_D_real: -0.000938 Loss_D_fake 0.023493
[728/5000][405/535][74983] Loss_D: -0.024585 Loss_G: 0.019418 Loss_D_real: -0.022658 Loss_D_fake 0.001927
[728/5000][410/535][74984] Loss_D: -0.025587 Loss_G: 0.006378 Loss_D_real: -0.020539 Loss_D_fake 0.005048
[728/5000][415/535][74985] Loss_D: -0.024082 Loss_G: 0.023462 Loss_D_real: -0.018231 Loss_D_fake 0.005851
[728/5000][420/535][74986] Loss_D: -0.023001 Loss_G: 0.008578 Loss_D_real: -0.024424 Loss_D_fake -0.001423
[728/5000][425/535][74987] Loss_D: -0.024121 Loss_G: 0.006592 Loss_D_real: -0.023656 Loss_D_fake 0.000465
[728/5000][430/535][74988] Loss_D: -0.025026 Loss_G: 0.010648 Loss_D_real: -0.025727 Loss_D_fake -0.000701
[728/5000][435/535][74989] Loss_D: -0.023609 Loss_G: 0.023836 Loss_D_real: -0.034361 Loss_D_fake -0.010752
[728/5000][440/535][74990] Loss_D: -0.026265 Loss_G: 0.017284 Loss_D_real: -0.020865 Loss_D_fake 0.005400
[728/5000][445/535][74991] Loss_D: -0.026015 Loss_G: 0.012258 Loss_D_real: -0.028152 Loss_D_fake -0.002137
[728/5000][450/535][74992] Loss_D: -0.024075 Loss_G: 0.015483 Loss_D_real: -0.016322 Loss_D_fake 0.007753
[728/5000][455/535][74993] Loss_D: -0.024640 Loss_G: 0.016700 Loss_D_real: -0.027638 Loss_D_fake -0.002998
[728/5000][460/535][74994] Loss_D: -0.025521 Loss_G: 0.022917 Loss_D_real: -0.025321 Loss_D_fake 0.000200
[728/5000][465/535][74995] Loss_D: -0.024220 Loss_G: 0.019924 Loss_D_real: -0.018276 Loss_D_fake 0.005944
[728/5000][470/535][74996] Loss_D: -0.024433 Loss_G: 0.024340 Loss_D_real: -0.027506 Loss_D_fake -0.003074
[728/5000][475/535][74997] Loss_D: -0.025305 Loss_G: -0.010938 Loss_D_real: -0.011994 Loss_D_fake 0.013311
[728/5000][480/535][74998] Loss_D: -0.024788 Loss_G: 0.009025 Loss_D_real: -0.019759 Loss_D_fake 0.005029
[728/5000][485/535][74999] Loss_D: -0.024396 Loss_G: -0.003800 Loss_D_real: -0.018655 Loss_D_fake 0.005741
[728/5000][490/535][75000] Loss_D: -0.022807 Loss_G: 0.038439 Loss_D_real: -0.032938 Loss_D_fake -0.010130
[728/5000][535/535][75001] Loss_D: -0.022178 Loss_G: 0.007844 Loss_D_real: -0.028886 Loss_D_fake -0.006708
[729/5000][5/535][75002] Loss_D: -0.026300 Loss_G: -0.003208 Loss_D_real: -0.011750 Loss_D_fake 0.014550
[729/5000][10/535][75003] Loss_D: -0.023083 Loss_G: 0.007808 Loss_D_real: -0.012787 Loss_D_fake 0.010296
[729/5000][15/535][75004] Loss_D: -0.025008 Loss_G: 0.020252 Loss_D_real: -0.019343 Loss_D_fake 0.005665
[729/5000][20/535][75005] Loss_D: -0.022931 Loss_G: -0.009740 Loss_D_real: -0.000270 Loss_D_fake 0.022660
[729/5000][25/535][75006] Loss_D: -0.025793 Loss_G: 0.024416 Loss_D_real: -0.023385 Loss_D_fake 0.002409
[729/5000][30/535][75007] Loss_D: -0.023707 Loss_G: 0.014791 Loss_D_real: -0.022355 Loss_D_fake 0.001352
[729/5000][35/535][75008] Loss_D: -0.022057 Loss_G: -0.009304 Loss_D_real: -0.010828 Loss_D_fake 0.011229
[729/5000][40/535][75009] Loss_D: -0.023927 Loss_G: 0.001455 Loss_D_real: -0.015899 Loss_D_fake 0.008028
[729/5000][45/535][75010] Loss_D: -0.025580 Loss_G: 0.005229 Loss_D_real: -0.012611 Loss_D_fake 0.012969
[729/5000][50/535][75011] Loss_D: -0.024777 Loss_G: 0.013654 Loss_D_real: -0.016907 Loss_D_fake 0.007870
[729/5000][55/535][75012] Loss_D: -0.024922 Loss_G: 0.003814 Loss_D_real: -0.021847 Loss_D_fake 0.003075
[729/5000][60/535][75013] Loss_D: -0.023159 Loss_G: 0.016723 Loss_D_real: -0.033975 Loss_D_fake -0.010816
[729/5000][65/535][75014] Loss_D: -0.024927 Loss_G: 0.003615 Loss_D_real: -0.025994 Loss_D_fake -0.001067
[729/5000][70/535][75015] Loss_D: -0.022389 Loss_G: 0.002966 Loss_D_real: -0.010990 Loss_D_fake 0.011399
[729/5000][75/535][75016] Loss_D: -0.023427 Loss_G: 0.008892 Loss_D_real: -0.014422 Loss_D_fake 0.009005
[729/5000][80/535][75017] Loss_D: -0.023001 Loss_G: 0.010877 Loss_D_real: -0.018726 Loss_D_fake 0.004276
[729/5000][85/535][75018] Loss_D: -0.022624 Loss_G: 0.017561 Loss_D_real: -0.030278 Loss_D_fake -0.007653
[729/5000][90/535][75019] Loss_D: -0.024261 Loss_G: 0.018207 Loss_D_real: -0.010719 Loss_D_fake 0.013543
[729/5000][95/535][75020] Loss_D: -0.024409 Loss_G: 0.012993 Loss_D_real: -0.017597 Loss_D_fake 0.006812
[729/5000][100/535][75021] Loss_D: -0.024550 Loss_G: -0.009783 Loss_D_real: -0.018848 Loss_D_fake 0.005702
[729/5000][105/535][75022] Loss_D: -0.023649 Loss_G: 0.026649 Loss_D_real: -0.029408 Loss_D_fake -0.005758
[729/5000][110/535][75023] Loss_D: -0.023701 Loss_G: -0.002971 Loss_D_real: -0.011378 Loss_D_fake 0.012323
[729/5000][115/535][75024] Loss_D: -0.024012 Loss_G: -0.007645 Loss_D_real: -0.009531 Loss_D_fake 0.014481
[729/5000][120/535][75025] Loss_D: -0.023430 Loss_G: 0.015918 Loss_D_real: -0.020428 Loss_D_fake 0.003002
[729/5000][125/535][75026] Loss_D: -0.024579 Loss_G: 0.010752 Loss_D_real: -0.024540 Loss_D_fake 0.000040
[729/5000][130/535][75027] Loss_D: -0.023304 Loss_G: -0.007640 Loss_D_real: -0.016887 Loss_D_fake 0.006418
[729/5000][135/535][75028] Loss_D: -0.023546 Loss_G: 0.021760 Loss_D_real: -0.025766 Loss_D_fake -0.002220
[729/5000][140/535][75029] Loss_D: -0.025009 Loss_G: -0.005945 Loss_D_real: -0.011243 Loss_D_fake 0.013766
[729/5000][145/535][75030] Loss_D: -0.023691 Loss_G: 0.022838 Loss_D_real: -0.028732 Loss_D_fake -0.005041
[729/5000][150/535][75031] Loss_D: -0.023891 Loss_G: 0.030017 Loss_D_real: -0.031911 Loss_D_fake -0.008020
[729/5000][155/535][75032] Loss_D: -0.024682 Loss_G: 0.002523 Loss_D_real: -0.009659 Loss_D_fake 0.015023
[729/5000][160/535][75033] Loss_D: -0.023740 Loss_G: 0.001021 Loss_D_real: -0.021725 Loss_D_fake 0.002015
[729/5000][165/535][75034] Loss_D: -0.024533 Loss_G: -0.000742 Loss_D_real: -0.015574 Loss_D_fake 0.008958
[729/5000][170/535][75035] Loss_D: -0.023474 Loss_G: 0.015530 Loss_D_real: -0.026110 Loss_D_fake -0.002636
[729/5000][175/535][75036] Loss_D: -0.023499 Loss_G: 0.006976 Loss_D_real: -0.013523 Loss_D_fake 0.009977
[729/5000][180/535][75037] Loss_D: -0.025248 Loss_G: 0.005850 Loss_D_real: -0.006099 Loss_D_fake 0.019149
[729/5000][185/535][75038] Loss_D: -0.022468 Loss_G: -0.001141 Loss_D_real: -0.021463 Loss_D_fake 0.001005
[729/5000][190/535][75039] Loss_D: -0.024539 Loss_G: 0.006180 Loss_D_real: -0.017799 Loss_D_fake 0.006740
[729/5000][195/535][75040] Loss_D: -0.023936 Loss_G: 0.006235 Loss_D_real: -0.012988 Loss_D_fake 0.010947
[729/5000][200/535][75041] Loss_D: -0.023325 Loss_G: 0.015833 Loss_D_real: -0.019137 Loss_D_fake 0.004188
[729/5000][205/535][75042] Loss_D: -0.023452 Loss_G: 0.003262 Loss_D_real: -0.011657 Loss_D_fake 0.011795
[729/5000][210/535][75043] Loss_D: -0.024269 Loss_G: 0.030007 Loss_D_real: -0.029195 Loss_D_fake -0.004927
[729/5000][215/535][75044] Loss_D: -0.023208 Loss_G: -0.004774 Loss_D_real: -0.008698 Loss_D_fake 0.014510
[729/5000][220/535][75045] Loss_D: -0.024037 Loss_G: 0.016449 Loss_D_real: -0.026391 Loss_D_fake -0.002355
[729/5000][225/535][75046] Loss_D: -0.023543 Loss_G: -0.004500 Loss_D_real: -0.005677 Loss_D_fake 0.017866
[729/5000][230/535][75047] Loss_D: -0.023956 Loss_G: 0.012386 Loss_D_real: -0.019130 Loss_D_fake 0.004826
[729/5000][235/535][75048] Loss_D: -0.024232 Loss_G: 0.003258 Loss_D_real: -0.019473 Loss_D_fake 0.004759
[729/5000][240/535][75049] Loss_D: -0.024694 Loss_G: 0.027258 Loss_D_real: -0.030749 Loss_D_fake -0.006055
[729/5000][245/535][75050] Loss_D: -0.023502 Loss_G: -0.006696 Loss_D_real: -0.014363 Loss_D_fake 0.009139
[729/5000][250/535][75051] Loss_D: -0.022618 Loss_G: 0.011924 Loss_D_real: -0.019386 Loss_D_fake 0.003231
[729/5000][255/535][75052] Loss_D: -0.023105 Loss_G: 0.001719 Loss_D_real: -0.017369 Loss_D_fake 0.005736
[729/5000][260/535][75053] Loss_D: -0.023743 Loss_G: 0.011643 Loss_D_real: -0.014630 Loss_D_fake 0.009113
[729/5000][265/535][75054] Loss_D: -0.024072 Loss_G: 0.001862 Loss_D_real: -0.016317 Loss_D_fake 0.007755
[729/5000][270/535][75055] Loss_D: -0.022490 Loss_G: 0.031075 Loss_D_real: -0.034283 Loss_D_fake -0.011793
[729/5000][275/535][75056] Loss_D: -0.025092 Loss_G: 0.005627 Loss_D_real: -0.014625 Loss_D_fake 0.010467
[729/5000][280/535][75057] Loss_D: -0.023554 Loss_G: 0.016846 Loss_D_real: -0.037691 Loss_D_fake -0.014137
[729/5000][285/535][75058] Loss_D: -0.025523 Loss_G: 0.019822 Loss_D_real: -0.030991 Loss_D_fake -0.005468
[729/5000][290/535][75059] Loss_D: -0.024007 Loss_G: 0.026605 Loss_D_real: -0.022723 Loss_D_fake 0.001284
[729/5000][295/535][75060] Loss_D: -0.024784 Loss_G: 0.009614 Loss_D_real: -0.006528 Loss_D_fake 0.018256
[729/5000][300/535][75061] Loss_D: -0.022852 Loss_G: -0.001208 Loss_D_real: -0.009489 Loss_D_fake 0.013362
[729/5000][305/535][75062] Loss_D: -0.024614 Loss_G: 0.017279 Loss_D_real: -0.030211 Loss_D_fake -0.005598
[729/5000][310/535][75063] Loss_D: -0.025292 Loss_G: 0.013499 Loss_D_real: -0.015231 Loss_D_fake 0.010061
[729/5000][315/535][75064] Loss_D: -0.025052 Loss_G: 0.001684 Loss_D_real: -0.007432 Loss_D_fake 0.017620
[729/5000][320/535][75065] Loss_D: -0.025026 Loss_G: 0.003266 Loss_D_real: -0.009606 Loss_D_fake 0.015420
[729/5000][325/535][75066] Loss_D: -0.024662 Loss_G: -0.005526 Loss_D_real: -0.012471 Loss_D_fake 0.012192
[729/5000][330/535][75067] Loss_D: -0.025853 Loss_G: 0.006015 Loss_D_real: -0.019572 Loss_D_fake 0.006281
[729/5000][335/535][75068] Loss_D: -0.023147 Loss_G: -0.010155 Loss_D_real: -0.009694 Loss_D_fake 0.013453
[729/5000][340/535][75069] Loss_D: -0.023987 Loss_G: -0.009877 Loss_D_real: -0.002336 Loss_D_fake 0.021652
[729/5000][345/535][75070] Loss_D: -0.025029 Loss_G: 0.022490 Loss_D_real: -0.022266 Loss_D_fake 0.002763
[729/5000][350/535][75071] Loss_D: -0.023650 Loss_G: 0.019206 Loss_D_real: -0.011683 Loss_D_fake 0.011967
[729/5000][355/535][75072] Loss_D: -0.023747 Loss_G: 0.007978 Loss_D_real: -0.024423 Loss_D_fake -0.000676
[729/5000][360/535][75073] Loss_D: -0.023681 Loss_G: -0.003282 Loss_D_real: -0.011196 Loss_D_fake 0.012485
[729/5000][365/535][75074] Loss_D: -0.024189 Loss_G: 0.016745 Loss_D_real: -0.023255 Loss_D_fake 0.000934
[729/5000][370/535][75075] Loss_D: -0.023643 Loss_G: -0.011283 Loss_D_real: -0.008694 Loss_D_fake 0.014949
[729/5000][375/535][75076] Loss_D: -0.023000 Loss_G: 0.012284 Loss_D_real: -0.024061 Loss_D_fake -0.001061
[729/5000][380/535][75077] Loss_D: -0.023504 Loss_G: 0.018642 Loss_D_real: -0.027886 Loss_D_fake -0.004382
[729/5000][385/535][75078] Loss_D: -0.025139 Loss_G: 0.002895 Loss_D_real: -0.009640 Loss_D_fake 0.015499
[729/5000][390/535][75079] Loss_D: -0.024267 Loss_G: 0.016949 Loss_D_real: -0.023944 Loss_D_fake 0.000323
[729/5000][395/535][75080] Loss_D: -0.023498 Loss_G: 0.020822 Loss_D_real: -0.032089 Loss_D_fake -0.008591
[729/5000][400/535][75081] Loss_D: -0.024048 Loss_G: -0.005913 Loss_D_real: -0.016834 Loss_D_fake 0.007214
[729/5000][405/535][75082] Loss_D: -0.023257 Loss_G: 0.025015 Loss_D_real: -0.030291 Loss_D_fake -0.007034
[729/5000][410/535][75083] Loss_D: -0.023028 Loss_G: -0.010459 Loss_D_real: 0.001705 Loss_D_fake 0.024733
[729/5000][415/535][75084] Loss_D: -0.022723 Loss_G: -0.000578 Loss_D_real: -0.010626 Loss_D_fake 0.012097
[729/5000][420/535][75085] Loss_D: -0.023693 Loss_G: 0.018152 Loss_D_real: -0.018636 Loss_D_fake 0.005056
[729/5000][425/535][75086] Loss_D: -0.023313 Loss_G: 0.010023 Loss_D_real: -0.015464 Loss_D_fake 0.007850
[729/5000][430/535][75087] Loss_D: -0.023499 Loss_G: 0.023454 Loss_D_real: -0.027197 Loss_D_fake -0.003699
[729/5000][435/535][75088] Loss_D: -0.023843 Loss_G: 0.017473 Loss_D_real: -0.026887 Loss_D_fake -0.003045
[729/5000][440/535][75089] Loss_D: -0.023944 Loss_G: 0.020304 Loss_D_real: -0.029152 Loss_D_fake -0.005208
[729/5000][445/535][75090] Loss_D: -0.023564 Loss_G: -0.009736 Loss_D_real: -0.010080 Loss_D_fake 0.013484
[729/5000][450/535][75091] Loss_D: -0.022632 Loss_G: 0.020507 Loss_D_real: -0.027401 Loss_D_fake -0.004768
[729/5000][455/535][75092] Loss_D: -0.022879 Loss_G: -0.004483 Loss_D_real: -0.004337 Loss_D_fake 0.018541
[729/5000][460/535][75093] Loss_D: -0.022847 Loss_G: 0.023188 Loss_D_real: -0.036630 Loss_D_fake -0.013783
[729/5000][465/535][75094] Loss_D: -0.022961 Loss_G: -0.004383 Loss_D_real: -0.007161 Loss_D_fake 0.015800
[729/5000][470/535][75095] Loss_D: -0.022428 Loss_G: 0.017804 Loss_D_real: -0.026611 Loss_D_fake -0.004183
[729/5000][475/535][75096] Loss_D: -0.023256 Loss_G: 0.020169 Loss_D_real: -0.029220 Loss_D_fake -0.005964
[729/5000][480/535][75097] Loss_D: -0.024677 Loss_G: -0.003377 Loss_D_real: -0.010001 Loss_D_fake 0.014677
[729/5000][485/535][75098] Loss_D: -0.023580 Loss_G: 0.016917 Loss_D_real: -0.030153 Loss_D_fake -0.006572
[729/5000][490/535][75099] Loss_D: -0.025530 Loss_G: 0.006700 Loss_D_real: -0.019178 Loss_D_fake 0.006352
[729/5000][495/535][75100] Loss_D: -0.024937 Loss_G: 0.018895 Loss_D_real: -0.025960 Loss_D_fake -0.001022
[729/5000][500/535][75101] Loss_D: -0.023910 Loss_G: 0.029992 Loss_D_real: -0.027047 Loss_D_fake -0.003137
[729/5000][505/535][75102] Loss_D: -0.025064 Loss_G: 0.013197 Loss_D_real: -0.020074 Loss_D_fake 0.004990
[729/5000][510/535][75103] Loss_D: -0.024045 Loss_G: -0.005662 Loss_D_real: -0.008760 Loss_D_fake 0.015285
[729/5000][515/535][75104] Loss_D: -0.024095 Loss_G: -0.015086 Loss_D_real: -0.001910 Loss_D_fake 0.022184
[729/5000][520/535][75105] Loss_D: -0.023177 Loss_G: 0.000195 Loss_D_real: -0.009866 Loss_D_fake 0.013311
[729/5000][525/535][75106] Loss_D: -0.023258 Loss_G: -0.001140 Loss_D_real: -0.015877 Loss_D_fake 0.007381
[729/5000][530/535][75107] Loss_D: -0.023125 Loss_G: -0.001852 Loss_D_real: -0.000660 Loss_D_fake 0.022466
[729/5000][535/535][75108] Loss_D: -0.027374 Loss_G: -0.003973 Loss_D_real: -0.025849 Loss_D_fake 0.001526
[730/5000][5/535][75109] Loss_D: -0.026451 Loss_G: 0.023076 Loss_D_real: -0.024815 Loss_D_fake 0.001636
[730/5000][10/535][75110] Loss_D: -0.026370 Loss_G: 0.001717 Loss_D_real: -0.014228 Loss_D_fake 0.012142
[730/5000][15/535][75111] Loss_D: -0.025432 Loss_G: 0.025206 Loss_D_real: -0.034105 Loss_D_fake -0.008674
[730/5000][20/535][75112] Loss_D: -0.023865 Loss_G: -0.019238 Loss_D_real: -0.004817 Loss_D_fake 0.019048
[730/5000][25/535][75113] Loss_D: -0.023882 Loss_G: 0.009630 Loss_D_real: -0.030726 Loss_D_fake -0.006845
[730/5000][30/535][75114] Loss_D: -0.024475 Loss_G: 0.025493 Loss_D_real: -0.027581 Loss_D_fake -0.003106
[730/5000][35/535][75115] Loss_D: -0.025387 Loss_G: 0.011287 Loss_D_real: -0.016016 Loss_D_fake 0.009371
[730/5000][40/535][75116] Loss_D: -0.023790 Loss_G: 0.017889 Loss_D_real: -0.022531 Loss_D_fake 0.001259
[730/5000][45/535][75117] Loss_D: -0.024581 Loss_G: -0.000450 Loss_D_real: -0.007182 Loss_D_fake 0.017399
[730/5000][50/535][75118] Loss_D: -0.021395 Loss_G: 0.036052 Loss_D_real: -0.036086 Loss_D_fake -0.014691
[730/5000][55/535][75119] Loss_D: -0.025129 Loss_G: -0.005158 Loss_D_real: -0.023665 Loss_D_fake 0.001464
[730/5000][60/535][75120] Loss_D: -0.024875 Loss_G: -0.009117 Loss_D_real: -0.012519 Loss_D_fake 0.012356
[730/5000][65/535][75121] Loss_D: -0.023100 Loss_G: 0.002645 Loss_D_real: -0.005896 Loss_D_fake 0.017204
[730/5000][70/535][75122] Loss_D: -0.025312 Loss_G: 0.005157 Loss_D_real: -0.010333 Loss_D_fake 0.014979
[730/5000][75/535][75123] Loss_D: -0.023127 Loss_G: 0.023510 Loss_D_real: -0.027927 Loss_D_fake -0.004800
[730/5000][80/535][75124] Loss_D: -0.023323 Loss_G: 0.019849 Loss_D_real: -0.014287 Loss_D_fake 0.009036
[730/5000][85/535][75125] Loss_D: -0.023697 Loss_G: 0.002334 Loss_D_real: -0.008109 Loss_D_fake 0.015588
[730/5000][90/535][75126] Loss_D: -0.023909 Loss_G: 0.019101 Loss_D_real: -0.024195 Loss_D_fake -0.000286
[730/5000][95/535][75127] Loss_D: -0.024532 Loss_G: 0.009399 Loss_D_real: -0.021692 Loss_D_fake 0.002840
[730/5000][100/535][75128] Loss_D: -0.024045 Loss_G: 0.002622 Loss_D_real: -0.019830 Loss_D_fake 0.004215
[730/5000][105/535][75129] Loss_D: -0.022602 Loss_G: 0.008288 Loss_D_real: -0.032748 Loss_D_fake -0.010146
[730/5000][110/535][75130] Loss_D: -0.022307 Loss_G: 0.020728 Loss_D_real: -0.028479 Loss_D_fake -0.006172
[730/5000][115/535][75131] Loss_D: -0.023447 Loss_G: -0.002108 Loss_D_real: -0.013368 Loss_D_fake 0.010079
[730/5000][120/535][75132] Loss_D: -0.024739 Loss_G: 0.007869 Loss_D_real: -0.018327 Loss_D_fake 0.006412
[730/5000][125/535][75133] Loss_D: -0.023767 Loss_G: 0.013828 Loss_D_real: -0.029792 Loss_D_fake -0.006025
[730/5000][130/535][75134] Loss_D: -0.024018 Loss_G: 0.012626 Loss_D_real: -0.027656 Loss_D_fake -0.003638
[730/5000][135/535][75135] Loss_D: -0.024235 Loss_G: 0.018651 Loss_D_real: -0.022412 Loss_D_fake 0.001823
[730/5000][140/535][75136] Loss_D: -0.023942 Loss_G: 0.015986 Loss_D_real: -0.020076 Loss_D_fake 0.003866
[730/5000][145/535][75137] Loss_D: -0.024350 Loss_G: 0.013306 Loss_D_real: -0.025996 Loss_D_fake -0.001646
[730/5000][150/535][75138] Loss_D: -0.023857 Loss_G: 0.012419 Loss_D_real: -0.025354 Loss_D_fake -0.001497
[730/5000][155/535][75139] Loss_D: -0.022982 Loss_G: 0.022811 Loss_D_real: -0.030018 Loss_D_fake -0.007036
[730/5000][160/535][75140] Loss_D: -0.023844 Loss_G: -0.003542 Loss_D_real: -0.004481 Loss_D_fake 0.019362
[730/5000][165/535][75141] Loss_D: -0.023917 Loss_G: 0.003533 Loss_D_real: -0.011748 Loss_D_fake 0.012169
[730/5000][170/535][75142] Loss_D: -0.026034 Loss_G: 0.006883 Loss_D_real: -0.008310 Loss_D_fake 0.017724
[730/5000][175/535][75143] Loss_D: -0.023348 Loss_G: 0.014102 Loss_D_real: -0.020328 Loss_D_fake 0.003021
[730/5000][180/535][75144] Loss_D: -0.024073 Loss_G: 0.007773 Loss_D_real: -0.010122 Loss_D_fake 0.013952
[730/5000][185/535][75145] Loss_D: -0.024761 Loss_G: -0.006701 Loss_D_real: -0.012545 Loss_D_fake 0.012216
[730/5000][190/535][75146] Loss_D: -0.025649 Loss_G: 0.012295 Loss_D_real: -0.018747 Loss_D_fake 0.006902
[730/5000][195/535][75147] Loss_D: -0.024210 Loss_G: 0.006269 Loss_D_real: -0.019092 Loss_D_fake 0.005117
[730/5000][200/535][75148] Loss_D: -0.024348 Loss_G: 0.005967 Loss_D_real: -0.008082 Loss_D_fake 0.016266
[730/5000][205/535][75149] Loss_D: -0.025383 Loss_G: 0.013034 Loss_D_real: -0.013327 Loss_D_fake 0.012056
[730/5000][210/535][75150] Loss_D: -0.024406 Loss_G: -0.001150 Loss_D_real: -0.012841 Loss_D_fake 0.011566
[730/5000][215/535][75151] Loss_D: -0.023045 Loss_G: 0.027907 Loss_D_real: -0.033737 Loss_D_fake -0.010693
[730/5000][220/535][75152] Loss_D: -0.024757 Loss_G: 0.015338 Loss_D_real: -0.025690 Loss_D_fake -0.000934
[730/5000][225/535][75153] Loss_D: -0.026068 Loss_G: -0.004578 Loss_D_real: -0.009733 Loss_D_fake 0.016335
[730/5000][230/535][75154] Loss_D: -0.025037 Loss_G: -0.002732 Loss_D_real: -0.020029 Loss_D_fake 0.005007
[730/5000][235/535][75155] Loss_D: -0.023642 Loss_G: -0.002088 Loss_D_real: -0.004620 Loss_D_fake 0.019021
[730/5000][240/535][75156] Loss_D: -0.023478 Loss_G: 0.027525 Loss_D_real: -0.023244 Loss_D_fake 0.000233
[730/5000][245/535][75157] Loss_D: -0.023794 Loss_G: -0.004905 Loss_D_real: -0.006384 Loss_D_fake 0.017411
[730/5000][250/535][75158] Loss_D: -0.024155 Loss_G: 0.017084 Loss_D_real: -0.026983 Loss_D_fake -0.002828
[730/5000][255/535][75159] Loss_D: -0.024472 Loss_G: 0.023303 Loss_D_real: -0.028291 Loss_D_fake -0.003819
[730/5000][260/535][75160] Loss_D: -0.024046 Loss_G: -0.006663 Loss_D_real: 0.002325 Loss_D_fake 0.026371
[730/5000][265/535][75161] Loss_D: -0.023042 Loss_G: 0.020160 Loss_D_real: -0.033769 Loss_D_fake -0.010727
[730/5000][270/535][75162] Loss_D: -0.023790 Loss_G: 0.017125 Loss_D_real: -0.024711 Loss_D_fake -0.000922
[730/5000][275/535][75163] Loss_D: -0.024259 Loss_G: 0.016964 Loss_D_real: -0.021941 Loss_D_fake 0.002318
[730/5000][280/535][75164] Loss_D: -0.023493 Loss_G: -0.005220 Loss_D_real: -0.009980 Loss_D_fake 0.013512
[730/5000][285/535][75165] Loss_D: -0.024525 Loss_G: -0.009608 Loss_D_real: -0.013638 Loss_D_fake 0.010888
[730/5000][290/535][75166] Loss_D: -0.025289 Loss_G: 0.007715 Loss_D_real: -0.005431 Loss_D_fake 0.019859
[730/5000][295/535][75167] Loss_D: -0.023069 Loss_G: 0.019034 Loss_D_real: -0.029872 Loss_D_fake -0.006803
[730/5000][300/535][75168] Loss_D: -0.024631 Loss_G: 0.021252 Loss_D_real: -0.030486 Loss_D_fake -0.005855
[730/5000][305/535][75169] Loss_D: -0.024092 Loss_G: 0.012467 Loss_D_real: -0.022577 Loss_D_fake 0.001516
[730/5000][310/535][75170] Loss_D: -0.023758 Loss_G: 0.022269 Loss_D_real: -0.026630 Loss_D_fake -0.002873
[730/5000][315/535][75171] Loss_D: -0.022825 Loss_G: -0.000296 Loss_D_real: -0.006918 Loss_D_fake 0.015908
[730/5000][320/535][75172] Loss_D: -0.022588 Loss_G: 0.018884 Loss_D_real: -0.026849 Loss_D_fake -0.004260
[730/5000][325/535][75173] Loss_D: -0.023459 Loss_G: 0.009573 Loss_D_real: -0.019008 Loss_D_fake 0.004451
[730/5000][330/535][75174] Loss_D: -0.024252 Loss_G: 0.000702 Loss_D_real: -0.018511 Loss_D_fake 0.005741
[730/5000][335/535][75175] Loss_D: -0.023231 Loss_G: 0.017190 Loss_D_real: -0.033055 Loss_D_fake -0.009824
[730/5000][340/535][75176] Loss_D: -0.023717 Loss_G: 0.006082 Loss_D_real: -0.016309 Loss_D_fake 0.007408
[730/5000][345/535][75177] Loss_D: -0.023352 Loss_G: -0.000261 Loss_D_real: -0.004027 Loss_D_fake 0.019325
[730/5000][350/535][75178] Loss_D: -0.024037 Loss_G: 0.006234 Loss_D_real: -0.022834 Loss_D_fake 0.001202
[730/5000][355/535][75179] Loss_D: -0.024708 Loss_G: 0.014582 Loss_D_real: -0.018795 Loss_D_fake 0.005913
[730/5000][360/535][75180] Loss_D: -0.023882 Loss_G: -0.001778 Loss_D_real: -0.007138 Loss_D_fake 0.016743
[730/5000][365/535][75181] Loss_D: -0.022712 Loss_G: 0.031194 Loss_D_real: -0.025744 Loss_D_fake -0.003032
[730/5000][370/535][75182] Loss_D: -0.023690 Loss_G: 0.010894 Loss_D_real: -0.021558 Loss_D_fake 0.002132
[730/5000][375/535][75183] Loss_D: -0.022966 Loss_G: 0.020379 Loss_D_real: -0.037100 Loss_D_fake -0.014134
[730/5000][380/535][75184] Loss_D: -0.022966 Loss_G: 0.020657 Loss_D_real: -0.025705 Loss_D_fake -0.002738
[730/5000][385/535][75185] Loss_D: -0.024035 Loss_G: 0.001808 Loss_D_real: -0.021467 Loss_D_fake 0.002568
[730/5000][390/535][75186] Loss_D: -0.022340 Loss_G: 0.017922 Loss_D_real: -0.033920 Loss_D_fake -0.011580
[730/5000][395/535][75187] Loss_D: -0.023902 Loss_G: 0.011394 Loss_D_real: -0.011448 Loss_D_fake 0.012454
[730/5000][400/535][75188] Loss_D: -0.024867 Loss_G: 0.002727 Loss_D_real: -0.010367 Loss_D_fake 0.014500
[730/5000][405/535][75189] Loss_D: -0.025877 Loss_G: 0.005457 Loss_D_real: -0.015190 Loss_D_fake 0.010687
[730/5000][410/535][75190] Loss_D: -0.023927 Loss_G: 0.018092 Loss_D_real: -0.037455 Loss_D_fake -0.013528
[730/5000][415/535][75191] Loss_D: -0.023534 Loss_G: 0.015975 Loss_D_real: -0.020507 Loss_D_fake 0.003027
[730/5000][420/535][75192] Loss_D: -0.023094 Loss_G: -0.014317 Loss_D_real: 0.004532 Loss_D_fake 0.027626
[730/5000][425/535][75193] Loss_D: -0.023284 Loss_G: 0.023504 Loss_D_real: -0.032480 Loss_D_fake -0.009197
[730/5000][430/535][75194] Loss_D: -0.024301 Loss_G: 0.010610 Loss_D_real: -0.017890 Loss_D_fake 0.006411
[730/5000][435/535][75195] Loss_D: -0.024154 Loss_G: 0.000045 Loss_D_real: -0.016809 Loss_D_fake 0.007345
[730/5000][440/535][75196] Loss_D: -0.023003 Loss_G: 0.021418 Loss_D_real: -0.019558 Loss_D_fake 0.003445
[730/5000][445/535][75197] Loss_D: -0.024067 Loss_G: -0.001161 Loss_D_real: -0.013715 Loss_D_fake 0.010351
[730/5000][450/535][75198] Loss_D: -0.023556 Loss_G: 0.005887 Loss_D_real: -0.015597 Loss_D_fake 0.007960
[730/5000][455/535][75199] Loss_D: -0.023889 Loss_G: 0.014382 Loss_D_real: -0.032110 Loss_D_fake -0.008222
[730/5000][460/535][75200] Loss_D: -0.023852 Loss_G: -0.018754 Loss_D_real: -0.003481 Loss_D_fake 0.020371
[730/5000][465/535][75201] Loss_D: -0.024021 Loss_G: 0.017589 Loss_D_real: -0.017405 Loss_D_fake 0.006616
[730/5000][470/535][75202] Loss_D: -0.022466 Loss_G: -0.011482 Loss_D_real: -0.008535 Loss_D_fake 0.013931
[730/5000][475/535][75203] Loss_D: -0.023954 Loss_G: 0.012503 Loss_D_real: -0.015838 Loss_D_fake 0.008116
[730/5000][480/535][75204] Loss_D: -0.023280 Loss_G: 0.008852 Loss_D_real: -0.020871 Loss_D_fake 0.002409
[730/5000][485/535][75205] Loss_D: -0.023616 Loss_G: -0.001684 Loss_D_real: -0.002768 Loss_D_fake 0.020847
[730/5000][490/535][75206] Loss_D: -0.023737 Loss_G: 0.002332 Loss_D_real: -0.021058 Loss_D_fake 0.002680
[730/5000][495/535][75207] Loss_D: -0.023868 Loss_G: 0.015736 Loss_D_real: -0.019165 Loss_D_fake 0.004703
[730/5000][500/535][75208] Loss_D: -0.024430 Loss_G: 0.007831 Loss_D_real: -0.016013 Loss_D_fake 0.008417
[730/5000][505/535][75209] Loss_D: -0.023499 Loss_G: 0.017802 Loss_D_real: -0.029497 Loss_D_fake -0.005998
[730/5000][510/535][75210] Loss_D: -0.025205 Loss_G: 0.012225 Loss_D_real: -0.020034 Loss_D_fake 0.005170
[730/5000][515/535][75211] Loss_D: -0.022929 Loss_G: 0.031748 Loss_D_real: -0.027865 Loss_D_fake -0.004935
[730/5000][520/535][75212] Loss_D: -0.023599 Loss_G: 0.006903 Loss_D_real: -0.019926 Loss_D_fake 0.003673
[730/5000][525/535][75213] Loss_D: -0.022508 Loss_G: -0.011279 Loss_D_real: -0.006681 Loss_D_fake 0.015827
[730/5000][530/535][75214] Loss_D: -0.021615 Loss_G: 0.014650 Loss_D_real: -0.026044 Loss_D_fake -0.004430
[730/5000][535/535][75215] Loss_D: -0.023165 Loss_G: 0.013608 Loss_D_real: -0.015881 Loss_D_fake 0.007284
[731/5000][5/535][75216] Loss_D: -0.023359 Loss_G: 0.015089 Loss_D_real: -0.021994 Loss_D_fake 0.001365
[731/5000][10/535][75217] Loss_D: -0.023773 Loss_G: 0.031853 Loss_D_real: -0.038317 Loss_D_fake -0.014544
[731/5000][15/535][75218] Loss_D: -0.024583 Loss_G: -0.009144 Loss_D_real: -0.013777 Loss_D_fake 0.010806
[731/5000][20/535][75219] Loss_D: -0.023980 Loss_G: 0.023148 Loss_D_real: -0.018987 Loss_D_fake 0.004993
[731/5000][25/535][75220] Loss_D: -0.025792 Loss_G: 0.003735 Loss_D_real: -0.020543 Loss_D_fake 0.005249
[731/5000][30/535][75221] Loss_D: -0.024502 Loss_G: -0.004153 Loss_D_real: -0.010954 Loss_D_fake 0.013548
[731/5000][35/535][75222] Loss_D: -0.024253 Loss_G: 0.002522 Loss_D_real: -0.000429 Loss_D_fake 0.023825
[731/5000][40/535][75223] Loss_D: -0.024698 Loss_G: -0.006286 Loss_D_real: -0.015589 Loss_D_fake 0.009109
[731/5000][45/535][75224] Loss_D: -0.024096 Loss_G: 0.026411 Loss_D_real: -0.037815 Loss_D_fake -0.013719
[731/5000][50/535][75225] Loss_D: -0.025255 Loss_G: 0.011178 Loss_D_real: -0.023076 Loss_D_fake 0.002179
[731/5000][55/535][75226] Loss_D: -0.024715 Loss_G: 0.011394 Loss_D_real: -0.015261 Loss_D_fake 0.009454
[731/5000][60/535][75227] Loss_D: -0.025170 Loss_G: 0.010103 Loss_D_real: -0.017464 Loss_D_fake 0.007706
[731/5000][65/535][75228] Loss_D: -0.024484 Loss_G: -0.001444 Loss_D_real: -0.003609 Loss_D_fake 0.020875
[731/5000][70/535][75229] Loss_D: -0.024166 Loss_G: 0.006749 Loss_D_real: -0.016017 Loss_D_fake 0.008149
[731/5000][75/535][75230] Loss_D: -0.024621 Loss_G: 0.018949 Loss_D_real: -0.021450 Loss_D_fake 0.003171
[731/5000][80/535][75231] Loss_D: -0.024787 Loss_G: 0.001969 Loss_D_real: -0.014429 Loss_D_fake 0.010358
[731/5000][85/535][75232] Loss_D: -0.022608 Loss_G: 0.027021 Loss_D_real: -0.038857 Loss_D_fake -0.016249
[731/5000][90/535][75233] Loss_D: -0.023933 Loss_G: -0.008473 Loss_D_real: 0.002670 Loss_D_fake 0.026603
[731/5000][95/535][75234] Loss_D: -0.022976 Loss_G: 0.008046 Loss_D_real: -0.013784 Loss_D_fake 0.009192
[731/5000][100/535][75235] Loss_D: -0.022965 Loss_G: 0.012173 Loss_D_real: -0.021659 Loss_D_fake 0.001306
[731/5000][105/535][75236] Loss_D: -0.024147 Loss_G: 0.023495 Loss_D_real: -0.029866 Loss_D_fake -0.005719
[731/5000][110/535][75237] Loss_D: -0.023594 Loss_G: -0.011042 Loss_D_real: -0.003657 Loss_D_fake 0.019937
[731/5000][115/535][75238] Loss_D: -0.023333 Loss_G: 0.015533 Loss_D_real: -0.022917 Loss_D_fake 0.000417
[731/5000][120/535][75239] Loss_D: -0.023836 Loss_G: 0.007251 Loss_D_real: -0.013434 Loss_D_fake 0.010403
[731/5000][125/535][75240] Loss_D: -0.023915 Loss_G: 0.023230 Loss_D_real: -0.012459 Loss_D_fake 0.011456
[731/5000][130/535][75241] Loss_D: -0.024209 Loss_G: -0.004738 Loss_D_real: -0.016722 Loss_D_fake 0.007487
[731/5000][135/535][75242] Loss_D: -0.024277 Loss_G: 0.006994 Loss_D_real: -0.023836 Loss_D_fake 0.000441
[731/5000][140/535][75243] Loss_D: -0.024171 Loss_G: 0.029536 Loss_D_real: -0.031974 Loss_D_fake -0.007803
[731/5000][145/535][75244] Loss_D: -0.023795 Loss_G: 0.015343 Loss_D_real: -0.016386 Loss_D_fake 0.007410
[731/5000][150/535][75245] Loss_D: -0.023035 Loss_G: -0.006783 Loss_D_real: -0.022935 Loss_D_fake 0.000100
[731/5000][155/535][75246] Loss_D: -0.025580 Loss_G: 0.009720 Loss_D_real: -0.011459 Loss_D_fake 0.014120
[731/5000][160/535][75247] Loss_D: -0.022564 Loss_G: 0.028913 Loss_D_real: -0.029975 Loss_D_fake -0.007411
[731/5000][165/535][75248] Loss_D: -0.023717 Loss_G: -0.005595 Loss_D_real: -0.011161 Loss_D_fake 0.012556
[731/5000][170/535][75249] Loss_D: -0.022818 Loss_G: -0.006762 Loss_D_real: -0.005507 Loss_D_fake 0.017310
[731/5000][175/535][75250] Loss_D: -0.023566 Loss_G: 0.004608 Loss_D_real: -0.010552 Loss_D_fake 0.013014
[731/5000][180/535][75251] Loss_D: -0.023134 Loss_G: -0.011725 Loss_D_real: -0.007965 Loss_D_fake 0.015169
[731/5000][185/535][75252] Loss_D: -0.024198 Loss_G: 0.005479 Loss_D_real: -0.018056 Loss_D_fake 0.006142
[731/5000][190/535][75253] Loss_D: -0.024331 Loss_G: 0.011612 Loss_D_real: -0.015136 Loss_D_fake 0.009195
[731/5000][195/535][75254] Loss_D: -0.023164 Loss_G: 0.030193 Loss_D_real: -0.034692 Loss_D_fake -0.011528
[731/5000][200/535][75255] Loss_D: -0.024524 Loss_G: 0.009843 Loss_D_real: -0.009861 Loss_D_fake 0.014664
[731/5000][205/535][75256] Loss_D: -0.023023 Loss_G: 0.017840 Loss_D_real: -0.012202 Loss_D_fake 0.010820
[731/5000][210/535][75257] Loss_D: -0.024979 Loss_G: 0.011392 Loss_D_real: -0.017210 Loss_D_fake 0.007769
[731/5000][215/535][75258] Loss_D: -0.024116 Loss_G: -0.004357 Loss_D_real: -0.000107 Loss_D_fake 0.024009
[731/5000][220/535][75259] Loss_D: -0.023677 Loss_G: -0.000735 Loss_D_real: -0.011322 Loss_D_fake 0.012356
[731/5000][225/535][75260] Loss_D: -0.023988 Loss_G: 0.003930 Loss_D_real: -0.018691 Loss_D_fake 0.005297
[731/5000][230/535][75261] Loss_D: -0.024349 Loss_G: -0.008697 Loss_D_real: -0.007609 Loss_D_fake 0.016740
[731/5000][235/535][75262] Loss_D: -0.024140 Loss_G: 0.004745 Loss_D_real: -0.015648 Loss_D_fake 0.008492
[731/5000][240/535][75263] Loss_D: -0.024224 Loss_G: 0.016571 Loss_D_real: -0.015399 Loss_D_fake 0.008824
[731/5000][245/535][75264] Loss_D: -0.024096 Loss_G: 0.017566 Loss_D_real: -0.022073 Loss_D_fake 0.002023
[731/5000][250/535][75265] Loss_D: -0.023884 Loss_G: -0.004704 Loss_D_real: -0.018454 Loss_D_fake 0.005430
[731/5000][255/535][75266] Loss_D: -0.022665 Loss_G: 0.024306 Loss_D_real: -0.029124 Loss_D_fake -0.006460
[731/5000][260/535][75267] Loss_D: -0.024578 Loss_G: 0.011915 Loss_D_real: -0.022107 Loss_D_fake 0.002471
[731/5000][265/535][75268] Loss_D: -0.024008 Loss_G: 0.021109 Loss_D_real: -0.035611 Loss_D_fake -0.011603
[731/5000][270/535][75269] Loss_D: -0.023242 Loss_G: 0.019743 Loss_D_real: -0.016649 Loss_D_fake 0.006593
[731/5000][275/535][75270] Loss_D: -0.024282 Loss_G: 0.002108 Loss_D_real: -0.019485 Loss_D_fake 0.004798
[731/5000][280/535][75271] Loss_D: -0.022986 Loss_G: 0.018150 Loss_D_real: -0.026812 Loss_D_fake -0.003826
[731/5000][285/535][75272] Loss_D: -0.023528 Loss_G: 0.026286 Loss_D_real: -0.032544 Loss_D_fake -0.009016
[731/5000][290/535][75273] Loss_D: -0.023710 Loss_G: -0.006670 Loss_D_real: -0.005537 Loss_D_fake 0.018174
[731/5000][295/535][75274] Loss_D: -0.023319 Loss_G: 0.028090 Loss_D_real: -0.026067 Loss_D_fake -0.002748
[731/5000][300/535][75275] Loss_D: -0.023340 Loss_G: 0.000310 Loss_D_real: -0.024315 Loss_D_fake -0.000975
[731/5000][305/535][75276] Loss_D: -0.024296 Loss_G: 0.015828 Loss_D_real: -0.024866 Loss_D_fake -0.000570
[731/5000][310/535][75277] Loss_D: -0.023825 Loss_G: -0.000056 Loss_D_real: -0.014756 Loss_D_fake 0.009069
[731/5000][315/535][75278] Loss_D: -0.024091 Loss_G: 0.014453 Loss_D_real: -0.015568 Loss_D_fake 0.008523
[731/5000][320/535][75279] Loss_D: -0.023202 Loss_G: 0.022915 Loss_D_real: -0.028169 Loss_D_fake -0.004968
[731/5000][325/535][75280] Loss_D: -0.022745 Loss_G: 0.024641 Loss_D_real: -0.029075 Loss_D_fake -0.006331
[731/5000][330/535][75281] Loss_D: -0.022437 Loss_G: -0.015738 Loss_D_real: -0.004634 Loss_D_fake 0.017802
[731/5000][335/535][75282] Loss_D: -0.023557 Loss_G: 0.024306 Loss_D_real: -0.027476 Loss_D_fake -0.003919
[731/5000][340/535][75283] Loss_D: -0.024075 Loss_G: 0.021150 Loss_D_real: -0.038311 Loss_D_fake -0.014235
[731/5000][345/535][75284] Loss_D: -0.024732 Loss_G: -0.001516 Loss_D_real: -0.021544 Loss_D_fake 0.003188
[731/5000][350/535][75285] Loss_D: -0.024516 Loss_G: 0.012869 Loss_D_real: -0.023051 Loss_D_fake 0.001465
[731/5000][355/535][75286] Loss_D: -0.024631 Loss_G: 0.017897 Loss_D_real: -0.032576 Loss_D_fake -0.007945
[731/5000][360/535][75287] Loss_D: -0.024725 Loss_G: -0.003135 Loss_D_real: -0.018017 Loss_D_fake 0.006708
[731/5000][365/535][75288] Loss_D: -0.025214 Loss_G: 0.021673 Loss_D_real: -0.020994 Loss_D_fake 0.004220
[731/5000][370/535][75289] Loss_D: -0.024755 Loss_G: 0.005409 Loss_D_real: -0.013704 Loss_D_fake 0.011051
[731/5000][375/535][75290] Loss_D: -0.025630 Loss_G: 0.001789 Loss_D_real: -0.023762 Loss_D_fake 0.001867
[731/5000][380/535][75291] Loss_D: -0.024523 Loss_G: -0.004431 Loss_D_real: -0.018188 Loss_D_fake 0.006334
[731/5000][385/535][75292] Loss_D: -0.023877 Loss_G: 0.005147 Loss_D_real: -0.021257 Loss_D_fake 0.002621
[731/5000][390/535][75293] Loss_D: -0.025735 Loss_G: 0.032969 Loss_D_real: -0.027549 Loss_D_fake -0.001814
[731/5000][395/535][75294] Loss_D: -0.023178 Loss_G: -0.004573 Loss_D_real: -0.011041 Loss_D_fake 0.012137
[731/5000][400/535][75295] Loss_D: -0.024657 Loss_G: 0.029135 Loss_D_real: -0.028342 Loss_D_fake -0.003685
[731/5000][405/535][75296] Loss_D: -0.023569 Loss_G: -0.009563 Loss_D_real: 0.000439 Loss_D_fake 0.024008
[731/5000][410/535][75297] Loss_D: -0.023731 Loss_G: 0.002739 Loss_D_real: -0.009424 Loss_D_fake 0.014308
[731/5000][415/535][75298] Loss_D: -0.023498 Loss_G: -0.003870 Loss_D_real: -0.011194 Loss_D_fake 0.012304
[731/5000][420/535][75299] Loss_D: -0.021668 Loss_G: 0.000741 Loss_D_real: -0.012320 Loss_D_fake 0.009347
[731/5000][425/535][75300] Loss_D: -0.022865 Loss_G: 0.019586 Loss_D_real: -0.029249 Loss_D_fake -0.006384
[731/5000][430/535][75301] Loss_D: -0.023880 Loss_G: 0.010566 Loss_D_real: -0.017278 Loss_D_fake 0.006601
[731/5000][435/535][75302] Loss_D: -0.022696 Loss_G: 0.029111 Loss_D_real: -0.036348 Loss_D_fake -0.013652
[731/5000][440/535][75303] Loss_D: -0.023173 Loss_G: 0.013816 Loss_D_real: -0.035418 Loss_D_fake -0.012245
[731/5000][445/535][75304] Loss_D: -0.023379 Loss_G: 0.014419 Loss_D_real: -0.013212 Loss_D_fake 0.010167
[731/5000][450/535][75305] Loss_D: -0.023566 Loss_G: 0.014858 Loss_D_real: -0.025839 Loss_D_fake -0.002272
[731/5000][455/535][75306] Loss_D: -0.023786 Loss_G: 0.016657 Loss_D_real: -0.024631 Loss_D_fake -0.000845
[731/5000][460/535][75307] Loss_D: -0.023705 Loss_G: 0.011136 Loss_D_real: -0.020509 Loss_D_fake 0.003196
[731/5000][465/535][75308] Loss_D: -0.024325 Loss_G: 0.003531 Loss_D_real: -0.020922 Loss_D_fake 0.003403
[731/5000][470/535][75309] Loss_D: -0.024167 Loss_G: 0.017683 Loss_D_real: -0.024742 Loss_D_fake -0.000575
[731/5000][475/535][75310] Loss_D: -0.025107 Loss_G: 0.014782 Loss_D_real: -0.018060 Loss_D_fake 0.007047
[731/5000][480/535][75311] Loss_D: -0.025249 Loss_G: 0.002389 Loss_D_real: -0.020091 Loss_D_fake 0.005158
[731/5000][485/535][75312] Loss_D: -0.024199 Loss_G: 0.022167 Loss_D_real: -0.021952 Loss_D_fake 0.002247
[731/5000][490/535][75313] Loss_D: -0.024689 Loss_G: -0.012342 Loss_D_real: -0.019231 Loss_D_fake 0.005458
[731/5000][495/535][75314] Loss_D: -0.024510 Loss_G: 0.015669 Loss_D_real: -0.028479 Loss_D_fake -0.003968
[731/5000][500/535][75315] Loss_D: -0.023294 Loss_G: 0.004590 Loss_D_real: -0.009172 Loss_D_fake 0.014123
[731/5000][505/535][75316] Loss_D: -0.022624 Loss_G: 0.035229 Loss_D_real: -0.024673 Loss_D_fake -0.002049
[731/5000][510/535][75317] Loss_D: -0.024783 Loss_G: 0.002534 Loss_D_real: -0.006443 Loss_D_fake 0.018340
[731/5000][515/535][75318] Loss_D: -0.023703 Loss_G: 0.002365 Loss_D_real: -0.017403 Loss_D_fake 0.006300
[731/5000][520/535][75319] Loss_D: -0.025248 Loss_G: -0.000738 Loss_D_real: -0.013352 Loss_D_fake 0.011896
[731/5000][525/535][75320] Loss_D: -0.024529 Loss_G: 0.011988 Loss_D_real: -0.020432 Loss_D_fake 0.004097
[731/5000][530/535][75321] Loss_D: -0.025344 Loss_G: 0.019751 Loss_D_real: -0.034031 Loss_D_fake -0.008686
[731/5000][535/535][75322] Loss_D: -0.026294 Loss_G: 0.018012 Loss_D_real: -0.020446 Loss_D_fake 0.005848
[732/5000][5/535][75323] Loss_D: -0.024960 Loss_G: -0.008906 Loss_D_real: 0.004019 Loss_D_fake 0.028979
[732/5000][10/535][75324] Loss_D: -0.024981 Loss_G: 0.004843 Loss_D_real: -0.014249 Loss_D_fake 0.010731
[732/5000][15/535][75325] Loss_D: -0.025276 Loss_G: 0.015987 Loss_D_real: -0.017334 Loss_D_fake 0.007943
[732/5000][20/535][75326] Loss_D: -0.024498 Loss_G: 0.006018 Loss_D_real: -0.009146 Loss_D_fake 0.015352
[732/5000][25/535][75327] Loss_D: -0.024564 Loss_G: 0.019872 Loss_D_real: -0.024221 Loss_D_fake 0.000343
[732/5000][30/535][75328] Loss_D: -0.022374 Loss_G: -0.011095 Loss_D_real: -0.006560 Loss_D_fake 0.015814
[732/5000][35/535][75329] Loss_D: -0.023223 Loss_G: 0.016864 Loss_D_real: -0.031411 Loss_D_fake -0.008188
[732/5000][40/535][75330] Loss_D: -0.021424 Loss_G: -0.012521 Loss_D_real: 0.000596 Loss_D_fake 0.022020
[732/5000][45/535][75331] Loss_D: -0.023681 Loss_G: 0.005134 Loss_D_real: -0.011275 Loss_D_fake 0.012406
[732/5000][50/535][75332] Loss_D: -0.024035 Loss_G: 0.006190 Loss_D_real: -0.017357 Loss_D_fake 0.006678
[732/5000][55/535][75333] Loss_D: -0.022362 Loss_G: 0.022879 Loss_D_real: -0.029203 Loss_D_fake -0.006841
[732/5000][60/535][75334] Loss_D: -0.023953 Loss_G: 0.009101 Loss_D_real: -0.013716 Loss_D_fake 0.010237
[732/5000][65/535][75335] Loss_D: -0.023787 Loss_G: 0.022509 Loss_D_real: -0.018761 Loss_D_fake 0.005026
[732/5000][70/535][75336] Loss_D: -0.024317 Loss_G: 0.006565 Loss_D_real: -0.023863 Loss_D_fake 0.000455
[732/5000][75/535][75337] Loss_D: -0.023090 Loss_G: -0.007029 Loss_D_real: -0.009068 Loss_D_fake 0.014022
[732/5000][80/535][75338] Loss_D: -0.023132 Loss_G: 0.000929 Loss_D_real: -0.014894 Loss_D_fake 0.008237
[732/5000][85/535][75339] Loss_D: -0.023522 Loss_G: -0.010380 Loss_D_real: -0.002822 Loss_D_fake 0.020700
[732/5000][90/535][75340] Loss_D: -0.023294 Loss_G: 0.032626 Loss_D_real: -0.014541 Loss_D_fake 0.008753
[732/5000][95/535][75341] Loss_D: -0.023760 Loss_G: 0.009696 Loss_D_real: -0.024268 Loss_D_fake -0.000509
[732/5000][100/535][75342] Loss_D: -0.023671 Loss_G: 0.007720 Loss_D_real: -0.014134 Loss_D_fake 0.009537
[732/5000][105/535][75343] Loss_D: -0.025020 Loss_G: 0.017165 Loss_D_real: -0.013210 Loss_D_fake 0.011809
[732/5000][110/535][75344] Loss_D: -0.024498 Loss_G: 0.001773 Loss_D_real: -0.016015 Loss_D_fake 0.008483
[732/5000][115/535][75345] Loss_D: -0.024332 Loss_G: 0.007811 Loss_D_real: -0.020535 Loss_D_fake 0.003797
[732/5000][120/535][75346] Loss_D: -0.024945 Loss_G: 0.024217 Loss_D_real: -0.022687 Loss_D_fake 0.002258
[732/5000][125/535][75347] Loss_D: -0.024227 Loss_G: 0.012933 Loss_D_real: -0.022799 Loss_D_fake 0.001428
[732/5000][130/535][75348] Loss_D: -0.023870 Loss_G: 0.009177 Loss_D_real: -0.015918 Loss_D_fake 0.007952
[732/5000][135/535][75349] Loss_D: -0.024767 Loss_G: 0.024415 Loss_D_real: -0.045145 Loss_D_fake -0.020377
[732/5000][140/535][75350] Loss_D: -0.024778 Loss_G: -0.005798 Loss_D_real: -0.006911 Loss_D_fake 0.017866
[732/5000][145/535][75351] Loss_D: -0.024049 Loss_G: 0.014251 Loss_D_real: -0.012117 Loss_D_fake 0.011932
[732/5000][150/535][75352] Loss_D: -0.023986 Loss_G: -0.003493 Loss_D_real: -0.008144 Loss_D_fake 0.015843
[732/5000][155/535][75353] Loss_D: -0.024382 Loss_G: 0.015891 Loss_D_real: -0.025316 Loss_D_fake -0.000934
[732/5000][160/535][75354] Loss_D: -0.022833 Loss_G: 0.036042 Loss_D_real: -0.027062 Loss_D_fake -0.004229
[732/5000][165/535][75355] Loss_D: -0.024307 Loss_G: 0.007745 Loss_D_real: -0.020994 Loss_D_fake 0.003313
[732/5000][170/535][75356] Loss_D: -0.022228 Loss_G: 0.012625 Loss_D_real: -0.026710 Loss_D_fake -0.004482
[732/5000][175/535][75357] Loss_D: -0.023933 Loss_G: 0.014725 Loss_D_real: -0.021944 Loss_D_fake 0.001989
[732/5000][180/535][75358] Loss_D: -0.024042 Loss_G: 0.014752 Loss_D_real: -0.025216 Loss_D_fake -0.001174
[732/5000][185/535][75359] Loss_D: -0.024719 Loss_G: 0.017428 Loss_D_real: -0.019899 Loss_D_fake 0.004820
[732/5000][190/535][75360] Loss_D: -0.024668 Loss_G: 0.011789 Loss_D_real: -0.023704 Loss_D_fake 0.000964
[732/5000][195/535][75361] Loss_D: -0.021897 Loss_G: 0.025626 Loss_D_real: -0.032052 Loss_D_fake -0.010155
[732/5000][200/535][75362] Loss_D: -0.023996 Loss_G: 0.008392 Loss_D_real: -0.022611 Loss_D_fake 0.001385
[732/5000][205/535][75363] Loss_D: -0.024378 Loss_G: 0.021355 Loss_D_real: -0.022357 Loss_D_fake 0.002021
[732/5000][210/535][75364] Loss_D: -0.025547 Loss_G: 0.013425 Loss_D_real: -0.026443 Loss_D_fake -0.000896
[732/5000][215/535][75365] Loss_D: -0.022655 Loss_G: 0.036354 Loss_D_real: -0.034658 Loss_D_fake -0.012003
[732/5000][220/535][75366] Loss_D: -0.025727 Loss_G: -0.006163 Loss_D_real: -0.018509 Loss_D_fake 0.007218
[732/5000][225/535][75367] Loss_D: -0.024747 Loss_G: 0.003439 Loss_D_real: -0.023322 Loss_D_fake 0.001425
[732/5000][230/535][75368] Loss_D: -0.025677 Loss_G: 0.004253 Loss_D_real: -0.021663 Loss_D_fake 0.004014
[732/5000][235/535][75369] Loss_D: -0.024256 Loss_G: -0.001294 Loss_D_real: -0.013338 Loss_D_fake 0.010919
[732/5000][240/535][75370] Loss_D: -0.023441 Loss_G: 0.023766 Loss_D_real: -0.026174 Loss_D_fake -0.002732
[732/5000][245/535][75371] Loss_D: -0.024446 Loss_G: 0.003593 Loss_D_real: -0.018726 Loss_D_fake 0.005720
[732/5000][250/535][75372] Loss_D: -0.024656 Loss_G: 0.001273 Loss_D_real: -0.016097 Loss_D_fake 0.008559
[732/5000][255/535][75373] Loss_D: -0.024432 Loss_G: 0.011640 Loss_D_real: -0.015908 Loss_D_fake 0.008525
[732/5000][260/535][75374] Loss_D: -0.024124 Loss_G: -0.001303 Loss_D_real: -0.012800 Loss_D_fake 0.011324
[732/5000][265/535][75375] Loss_D: -0.024506 Loss_G: -0.000144 Loss_D_real: 0.000017 Loss_D_fake 0.024522
[732/5000][270/535][75376] Loss_D: -0.021637 Loss_G: 0.025000 Loss_D_real: -0.036423 Loss_D_fake -0.014785
[732/5000][275/535][75377] Loss_D: -0.023589 Loss_G: 0.011648 Loss_D_real: -0.021914 Loss_D_fake 0.001675
[732/5000][280/535][75378] Loss_D: -0.022265 Loss_G: 0.039751 Loss_D_real: -0.030960 Loss_D_fake -0.008696
[732/5000][285/535][75379] Loss_D: -0.024476 Loss_G: 0.012994 Loss_D_real: -0.013048 Loss_D_fake 0.011429
[732/5000][290/535][75380] Loss_D: -0.023410 Loss_G: 0.020772 Loss_D_real: -0.037185 Loss_D_fake -0.013775
[732/5000][295/535][75381] Loss_D: -0.023608 Loss_G: 0.011854 Loss_D_real: -0.014997 Loss_D_fake 0.008611
[732/5000][300/535][75382] Loss_D: -0.025000 Loss_G: -0.000176 Loss_D_real: -0.011838 Loss_D_fake 0.013162
[732/5000][305/535][75383] Loss_D: -0.025280 Loss_G: 0.017541 Loss_D_real: -0.022573 Loss_D_fake 0.002706
[732/5000][310/535][75384] Loss_D: -0.025509 Loss_G: 0.003371 Loss_D_real: -0.021188 Loss_D_fake 0.004322
[732/5000][315/535][75385] Loss_D: -0.024444 Loss_G: 0.019046 Loss_D_real: -0.028974 Loss_D_fake -0.004530
[732/5000][320/535][75386] Loss_D: -0.024473 Loss_G: 0.002505 Loss_D_real: -0.018596 Loss_D_fake 0.005878
[732/5000][325/535][75387] Loss_D: -0.024251 Loss_G: 0.012712 Loss_D_real: -0.021828 Loss_D_fake 0.002423
[732/5000][330/535][75388] Loss_D: -0.022562 Loss_G: 0.012968 Loss_D_real: -0.009609 Loss_D_fake 0.012953
[732/5000][335/535][75389] Loss_D: -0.023465 Loss_G: 0.011609 Loss_D_real: -0.016767 Loss_D_fake 0.006699
[732/5000][340/535][75390] Loss_D: -0.021834 Loss_G: -0.005622 Loss_D_real: -0.001222 Loss_D_fake 0.020612
[732/5000][345/535][75391] Loss_D: -0.023112 Loss_G: 0.006253 Loss_D_real: -0.014043 Loss_D_fake 0.009069
[732/5000][350/535][75392] Loss_D: -0.023669 Loss_G: -0.006895 Loss_D_real: -0.014573 Loss_D_fake 0.009096
[732/5000][355/535][75393] Loss_D: -0.024153 Loss_G: 0.002571 Loss_D_real: -0.015588 Loss_D_fake 0.008566
[732/5000][360/535][75394] Loss_D: -0.023404 Loss_G: 0.015776 Loss_D_real: -0.027184 Loss_D_fake -0.003780
[732/5000][365/535][75395] Loss_D: -0.024922 Loss_G: 0.014630 Loss_D_real: -0.028491 Loss_D_fake -0.003569
[732/5000][370/535][75396] Loss_D: -0.022519 Loss_G: 0.032640 Loss_D_real: -0.032857 Loss_D_fake -0.010338
[732/5000][375/535][75397] Loss_D: -0.024708 Loss_G: 0.005624 Loss_D_real: -0.015629 Loss_D_fake 0.009079
[732/5000][380/535][75398] Loss_D: -0.022519 Loss_G: 0.015151 Loss_D_real: -0.030146 Loss_D_fake -0.007627
[732/5000][385/535][75399] Loss_D: -0.023862 Loss_G: 0.009869 Loss_D_real: -0.021601 Loss_D_fake 0.002260
[732/5000][390/535][75400] Loss_D: -0.024875 Loss_G: 0.020673 Loss_D_real: -0.017506 Loss_D_fake 0.007369
[732/5000][395/535][75401] Loss_D: -0.026164 Loss_G: -0.004112 Loss_D_real: -0.012950 Loss_D_fake 0.013214
[732/5000][400/535][75402] Loss_D: -0.023576 Loss_G: 0.017297 Loss_D_real: -0.034607 Loss_D_fake -0.011032
[732/5000][405/535][75403] Loss_D: -0.025223 Loss_G: 0.009246 Loss_D_real: -0.010974 Loss_D_fake 0.014249
[732/5000][410/535][75404] Loss_D: -0.024514 Loss_G: 0.022608 Loss_D_real: -0.020298 Loss_D_fake 0.004215
[732/5000][415/535][75405] Loss_D: -0.024329 Loss_G: -0.002236 Loss_D_real: -0.006250 Loss_D_fake 0.018078
[732/5000][420/535][75406] Loss_D: -0.025510 Loss_G: 0.018908 Loss_D_real: -0.021408 Loss_D_fake 0.004102
[732/5000][425/535][75407] Loss_D: -0.024525 Loss_G: 0.011384 Loss_D_real: -0.023353 Loss_D_fake 0.001172
[732/5000][430/535][75408] Loss_D: -0.022864 Loss_G: 0.006744 Loss_D_real: -0.015346 Loss_D_fake 0.007518
[732/5000][435/535][75409] Loss_D: -0.024884 Loss_G: 0.020660 Loss_D_real: -0.032525 Loss_D_fake -0.007641
[732/5000][440/535][75410] Loss_D: -0.023832 Loss_G: 0.019685 Loss_D_real: -0.024373 Loss_D_fake -0.000541
[732/5000][445/535][75411] Loss_D: -0.024117 Loss_G: 0.007741 Loss_D_real: -0.026898 Loss_D_fake -0.002781
[732/5000][450/535][75412] Loss_D: -0.024064 Loss_G: 0.025151 Loss_D_real: -0.023719 Loss_D_fake 0.000345
[732/5000][455/535][75413] Loss_D: -0.023066 Loss_G: -0.010232 Loss_D_real: -0.003848 Loss_D_fake 0.019217
[732/5000][460/535][75414] Loss_D: -0.022806 Loss_G: 0.021708 Loss_D_real: -0.027912 Loss_D_fake -0.005107
[732/5000][465/535][75415] Loss_D: -0.024345 Loss_G: 0.007175 Loss_D_real: -0.025029 Loss_D_fake -0.000685
[732/5000][470/535][75416] Loss_D: -0.022165 Loss_G: -0.007887 Loss_D_real: -0.004319 Loss_D_fake 0.017846
[732/5000][475/535][75417] Loss_D: -0.024900 Loss_G: 0.000784 Loss_D_real: -0.013002 Loss_D_fake 0.011898
[732/5000][480/535][75418] Loss_D: -0.024954 Loss_G: 0.012434 Loss_D_real: -0.026340 Loss_D_fake -0.001386
[732/5000][485/535][75419] Loss_D: -0.023219 Loss_G: 0.020437 Loss_D_real: -0.028215 Loss_D_fake -0.004996
[732/5000][490/535][75420] Loss_D: -0.024183 Loss_G: 0.004902 Loss_D_real: -0.014121 Loss_D_fake 0.010062
[732/5000][495/535][75421] Loss_D: -0.025270 Loss_G: 0.017567 Loss_D_real: -0.031055 Loss_D_fake -0.005786
[732/5000][500/535][75422] Loss_D: -0.024924 Loss_G: 0.009282 Loss_D_real: -0.019283 Loss_D_fake 0.005641
[732/5000][505/535][75423] Loss_D: -0.024976 Loss_G: 0.019548 Loss_D_real: -0.014587 Loss_D_fake 0.010389
[732/5000][510/535][75424] Loss_D: -0.024978 Loss_G: -0.000955 Loss_D_real: -0.013262 Loss_D_fake 0.011715
[732/5000][515/535][75425] Loss_D: -0.022866 Loss_G: 0.023664 Loss_D_real: -0.018150 Loss_D_fake 0.004716
[732/5000][520/535][75426] Loss_D: -0.023990 Loss_G: -0.001315 Loss_D_real: -0.011433 Loss_D_fake 0.012557
[732/5000][525/535][75427] Loss_D: -0.022002 Loss_G: -0.016552 Loss_D_real: 0.000137 Loss_D_fake 0.022140
[732/5000][530/535][75428] Loss_D: -0.023001 Loss_G: 0.030795 Loss_D_real: -0.031574 Loss_D_fake -0.008572
[732/5000][535/535][75429] Loss_D: -0.024863 Loss_G: 0.012404 Loss_D_real: -0.017753 Loss_D_fake 0.007110
[733/5000][5/535][75430] Loss_D: -0.024342 Loss_G: 0.018020 Loss_D_real: -0.023914 Loss_D_fake 0.000428
[733/5000][10/535][75431] Loss_D: -0.021790 Loss_G: 0.025849 Loss_D_real: -0.029602 Loss_D_fake -0.007812
[733/5000][15/535][75432] Loss_D: -0.023625 Loss_G: -0.012590 Loss_D_real: -0.012843 Loss_D_fake 0.010782
[733/5000][20/535][75433] Loss_D: -0.022519 Loss_G: 0.019129 Loss_D_real: -0.032158 Loss_D_fake -0.009638
[733/5000][25/535][75434] Loss_D: -0.023210 Loss_G: 0.003117 Loss_D_real: -0.008212 Loss_D_fake 0.014999
[733/5000][30/535][75435] Loss_D: -0.022185 Loss_G: 0.027140 Loss_D_real: -0.020522 Loss_D_fake 0.001663
[733/5000][35/535][75436] Loss_D: -0.022851 Loss_G: -0.006496 Loss_D_real: -0.009530 Loss_D_fake 0.013320
[733/5000][40/535][75437] Loss_D: -0.023322 Loss_G: 0.000219 Loss_D_real: -0.008392 Loss_D_fake 0.014930
[733/5000][45/535][75438] Loss_D: -0.022355 Loss_G: 0.022931 Loss_D_real: -0.032050 Loss_D_fake -0.009695
[733/5000][50/535][75439] Loss_D: -0.024197 Loss_G: 0.018823 Loss_D_real: -0.023609 Loss_D_fake 0.000588
[733/5000][55/535][75440] Loss_D: -0.023213 Loss_G: 0.014776 Loss_D_real: -0.035363 Loss_D_fake -0.012150
[733/5000][60/535][75441] Loss_D: -0.023724 Loss_G: -0.002674 Loss_D_real: -0.003876 Loss_D_fake 0.019848
[733/5000][65/535][75442] Loss_D: -0.022821 Loss_G: 0.014556 Loss_D_real: -0.032812 Loss_D_fake -0.009991
[733/5000][70/535][75443] Loss_D: -0.023806 Loss_G: 0.007102 Loss_D_real: -0.017340 Loss_D_fake 0.006467
[733/5000][75/535][75444] Loss_D: -0.024342 Loss_G: 0.005395 Loss_D_real: -0.020872 Loss_D_fake 0.003470
[733/5000][80/535][75445] Loss_D: -0.025332 Loss_G: 0.000942 Loss_D_real: -0.021962 Loss_D_fake 0.003370
[733/5000][85/535][75446] Loss_D: -0.025134 Loss_G: 0.016036 Loss_D_real: -0.022995 Loss_D_fake 0.002139
[733/5000][90/535][75447] Loss_D: -0.024364 Loss_G: 0.008539 Loss_D_real: -0.024427 Loss_D_fake -0.000063
[733/5000][95/535][75448] Loss_D: -0.025725 Loss_G: 0.016066 Loss_D_real: -0.022047 Loss_D_fake 0.003678
[733/5000][100/535][75449] Loss_D: -0.024797 Loss_G: 0.021113 Loss_D_real: -0.027528 Loss_D_fake -0.002731
[733/5000][105/535][75450] Loss_D: -0.024253 Loss_G: -0.008971 Loss_D_real: 0.000203 Loss_D_fake 0.024456
[733/5000][110/535][75451] Loss_D: -0.023855 Loss_G: 0.028253 Loss_D_real: -0.024698 Loss_D_fake -0.000843
[733/5000][115/535][75452] Loss_D: -0.024367 Loss_G: 0.015483 Loss_D_real: -0.022983 Loss_D_fake 0.001385
[733/5000][120/535][75453] Loss_D: -0.024155 Loss_G: 0.018216 Loss_D_real: -0.025825 Loss_D_fake -0.001670
[733/5000][125/535][75454] Loss_D: -0.023051 Loss_G: -0.005327 Loss_D_real: -0.006647 Loss_D_fake 0.016404
[733/5000][130/535][75455] Loss_D: -0.024873 Loss_G: 0.010258 Loss_D_real: -0.023915 Loss_D_fake 0.000958
[733/5000][135/535][75456] Loss_D: -0.021443 Loss_G: -0.004357 Loss_D_real: 0.000815 Loss_D_fake 0.022258
[733/5000][140/535][75457] Loss_D: -0.021782 Loss_G: 0.025164 Loss_D_real: -0.037504 Loss_D_fake -0.015722
[733/5000][145/535][75458] Loss_D: -0.022412 Loss_G: 0.017524 Loss_D_real: -0.031910 Loss_D_fake -0.009497
[733/5000][150/535][75459] Loss_D: -0.023925 Loss_G: -0.011693 Loss_D_real: -0.000448 Loss_D_fake 0.023477
[733/5000][155/535][75460] Loss_D: -0.023113 Loss_G: 0.005583 Loss_D_real: -0.020684 Loss_D_fake 0.002429
[733/5000][160/535][75461] Loss_D: -0.022688 Loss_G: 0.028721 Loss_D_real: -0.025357 Loss_D_fake -0.002669
[733/5000][165/535][75462] Loss_D: -0.024548 Loss_G: 0.000889 Loss_D_real: -0.009818 Loss_D_fake 0.014730
[733/5000][170/535][75463] Loss_D: -0.024633 Loss_G: 0.013332 Loss_D_real: -0.007947 Loss_D_fake 0.016686
[733/5000][175/535][75464] Loss_D: -0.024244 Loss_G: 0.017479 Loss_D_real: -0.027302 Loss_D_fake -0.003058
[733/5000][180/535][75465] Loss_D: -0.026162 Loss_G: 0.006492 Loss_D_real: -0.017429 Loss_D_fake 0.008733
[733/5000][185/535][75466] Loss_D: -0.025398 Loss_G: 0.016302 Loss_D_real: -0.018135 Loss_D_fake 0.007263
[733/5000][190/535][75467] Loss_D: -0.023771 Loss_G: -0.006254 Loss_D_real: 0.000699 Loss_D_fake 0.024470
[733/5000][195/535][75468] Loss_D: -0.023210 Loss_G: -0.011129 Loss_D_real: -0.004390 Loss_D_fake 0.018821
[733/5000][200/535][75469] Loss_D: -0.024736 Loss_G: 0.023864 Loss_D_real: -0.017519 Loss_D_fake 0.007217
[733/5000][205/535][75470] Loss_D: -0.024213 Loss_G: -0.001269 Loss_D_real: -0.011962 Loss_D_fake 0.012252
[733/5000][210/535][75471] Loss_D: -0.024435 Loss_G: 0.009163 Loss_D_real: -0.021194 Loss_D_fake 0.003241
[733/5000][215/535][75472] Loss_D: -0.025690 Loss_G: 0.001757 Loss_D_real: -0.015791 Loss_D_fake 0.009899
[733/5000][220/535][75473] Loss_D: -0.024752 Loss_G: 0.030220 Loss_D_real: -0.021446 Loss_D_fake 0.003306
[733/5000][225/535][75474] Loss_D: -0.022651 Loss_G: 0.025333 Loss_D_real: -0.037907 Loss_D_fake -0.015255
[733/5000][230/535][75475] Loss_D: -0.022619 Loss_G: -0.008339 Loss_D_real: 0.002547 Loss_D_fake 0.025166
[733/5000][235/535][75476] Loss_D: -0.022738 Loss_G: 0.026166 Loss_D_real: -0.033431 Loss_D_fake -0.010693
[733/5000][240/535][75477] Loss_D: -0.022508 Loss_G: 0.026514 Loss_D_real: -0.026708 Loss_D_fake -0.004200
[733/5000][245/535][75478] Loss_D: -0.023849 Loss_G: 0.019636 Loss_D_real: -0.026136 Loss_D_fake -0.002288
[733/5000][250/535][75479] Loss_D: -0.023017 Loss_G: 0.000495 Loss_D_real: -0.012703 Loss_D_fake 0.010314
[733/5000][255/535][75480] Loss_D: -0.022382 Loss_G: 0.020924 Loss_D_real: -0.028852 Loss_D_fake -0.006470
[733/5000][260/535][75481] Loss_D: -0.023902 Loss_G: 0.009072 Loss_D_real: -0.024848 Loss_D_fake -0.000945
[733/5000][265/535][75482] Loss_D: -0.022461 Loss_G: 0.008977 Loss_D_real: -0.020215 Loss_D_fake 0.002246
[733/5000][270/535][75483] Loss_D: -0.024864 Loss_G: 0.020514 Loss_D_real: -0.018196 Loss_D_fake 0.006668
[733/5000][275/535][75484] Loss_D: -0.023867 Loss_G: -0.001196 Loss_D_real: -0.013895 Loss_D_fake 0.009972
[733/5000][280/535][75485] Loss_D: -0.023712 Loss_G: 0.012275 Loss_D_real: -0.015112 Loss_D_fake 0.008601
[733/5000][285/535][75486] Loss_D: -0.023999 Loss_G: -0.003420 Loss_D_real: -0.018081 Loss_D_fake 0.005919
[733/5000][290/535][75487] Loss_D: -0.021610 Loss_G: -0.014493 Loss_D_real: -0.001252 Loss_D_fake 0.020358
[733/5000][295/535][75488] Loss_D: -0.021883 Loss_G: 0.027896 Loss_D_real: -0.030895 Loss_D_fake -0.009012
[733/5000][300/535][75489] Loss_D: -0.023901 Loss_G: -0.009410 Loss_D_real: -0.019751 Loss_D_fake 0.004150
[733/5000][305/535][75490] Loss_D: -0.022066 Loss_G: 0.026345 Loss_D_real: -0.023730 Loss_D_fake -0.001664
[733/5000][310/535][75491] Loss_D: -0.023822 Loss_G: -0.010526 Loss_D_real: -0.005840 Loss_D_fake 0.017982
[733/5000][315/535][75492] Loss_D: -0.024546 Loss_G: -0.000126 Loss_D_real: -0.009780 Loss_D_fake 0.014766
[733/5000][320/535][75493] Loss_D: -0.021932 Loss_G: 0.005386 Loss_D_real: -0.015692 Loss_D_fake 0.006240
[733/5000][325/535][75494] Loss_D: -0.024279 Loss_G: -0.005280 Loss_D_real: -0.011363 Loss_D_fake 0.012916
[733/5000][330/535][75495] Loss_D: -0.023080 Loss_G: 0.023187 Loss_D_real: -0.027740 Loss_D_fake -0.004660
[733/5000][335/535][75496] Loss_D: -0.024446 Loss_G: 0.008599 Loss_D_real: -0.018622 Loss_D_fake 0.005824
[733/5000][340/535][75497] Loss_D: -0.023410 Loss_G: 0.008426 Loss_D_real: -0.025751 Loss_D_fake -0.002342
[733/5000][345/535][75498] Loss_D: -0.023725 Loss_G: 0.024341 Loss_D_real: -0.024255 Loss_D_fake -0.000530
[733/5000][350/535][75499] Loss_D: -0.024003 Loss_G: -0.004106 Loss_D_real: -0.011182 Loss_D_fake 0.012821
[733/5000][355/535][75500] Loss_D: -0.022335 Loss_G: 0.017925 Loss_D_real: -0.026635 Loss_D_fake -0.004300
[733/5000][455/535][75501] Loss_D: -0.022608 Loss_G: 0.037317 Loss_D_real: -0.041033 Loss_D_fake -0.018425
[733/5000][460/535][75502] Loss_D: -0.022789 Loss_G: -0.004187 Loss_D_real: -0.009797 Loss_D_fake 0.012991
[733/5000][465/535][75503] Loss_D: -0.023167 Loss_G: -0.004139 Loss_D_real: -0.012554 Loss_D_fake 0.010612
[733/5000][470/535][75504] Loss_D: -0.022736 Loss_G: 0.007262 Loss_D_real: -0.021156 Loss_D_fake 0.001580
[733/5000][475/535][75505] Loss_D: -0.022636 Loss_G: -0.001713 Loss_D_real: -0.006220 Loss_D_fake 0.016416
[733/5000][480/535][75506] Loss_D: -0.022166 Loss_G: 0.029942 Loss_D_real: -0.032837 Loss_D_fake -0.010671
[733/5000][485/535][75507] Loss_D: -0.023324 Loss_G: 0.016815 Loss_D_real: -0.032867 Loss_D_fake -0.009543
[733/5000][490/535][75508] Loss_D: -0.024891 Loss_G: 0.013475 Loss_D_real: -0.013539 Loss_D_fake 0.011352
[733/5000][495/535][75509] Loss_D: -0.024705 Loss_G: 0.005486 Loss_D_real: -0.015060 Loss_D_fake 0.009645
[733/5000][500/535][75510] Loss_D: -0.024508 Loss_G: 0.019521 Loss_D_real: -0.029825 Loss_D_fake -0.005318
[733/5000][505/535][75511] Loss_D: -0.025333 Loss_G: 0.004642 Loss_D_real: -0.017077 Loss_D_fake 0.008256
[733/5000][510/535][75512] Loss_D: -0.023442 Loss_G: 0.020551 Loss_D_real: -0.027711 Loss_D_fake -0.004269
[733/5000][515/535][75513] Loss_D: -0.025474 Loss_G: -0.003855 Loss_D_real: -0.013767 Loss_D_fake 0.011707
[733/5000][520/535][75514] Loss_D: -0.025165 Loss_G: 0.009790 Loss_D_real: -0.016910 Loss_D_fake 0.008255
[733/5000][525/535][75515] Loss_D: -0.023252 Loss_G: 0.018656 Loss_D_real: -0.018705 Loss_D_fake 0.004547
[733/5000][530/535][75516] Loss_D: -0.023885 Loss_G: 0.013276 Loss_D_real: -0.016208 Loss_D_fake 0.007676
[733/5000][535/535][75517] Loss_D: -0.021880 Loss_G: 0.017140 Loss_D_real: -0.011845 Loss_D_fake 0.010035
[734/5000][5/535][75518] Loss_D: -0.023970 Loss_G: 0.016901 Loss_D_real: -0.027576 Loss_D_fake -0.003606
[734/5000][10/535][75519] Loss_D: -0.023651 Loss_G: 0.023034 Loss_D_real: -0.032435 Loss_D_fake -0.008784
[734/5000][15/535][75520] Loss_D: -0.023713 Loss_G: 0.025415 Loss_D_real: -0.025966 Loss_D_fake -0.002253
[734/5000][20/535][75521] Loss_D: -0.024480 Loss_G: -0.003022 Loss_D_real: -0.013923 Loss_D_fake 0.010557
[734/5000][25/535][75522] Loss_D: -0.024464 Loss_G: 0.001862 Loss_D_real: -0.023476 Loss_D_fake 0.000988
[734/5000][30/535][75523] Loss_D: -0.022592 Loss_G: 0.037596 Loss_D_real: -0.038813 Loss_D_fake -0.016221
[734/5000][35/535][75524] Loss_D: -0.024373 Loss_G: -0.004367 Loss_D_real: -0.016151 Loss_D_fake 0.008222
[734/5000][40/535][75525] Loss_D: -0.025718 Loss_G: 0.004371 Loss_D_real: -0.007484 Loss_D_fake 0.018233
[734/5000][45/535][75526] Loss_D: -0.022948 Loss_G: 0.005005 Loss_D_real: -0.015782 Loss_D_fake 0.007166
[734/5000][50/535][75527] Loss_D: -0.023928 Loss_G: 0.004168 Loss_D_real: -0.011915 Loss_D_fake 0.012014
[734/5000][55/535][75528] Loss_D: -0.022787 Loss_G: 0.020992 Loss_D_real: -0.031220 Loss_D_fake -0.008433
[734/5000][60/535][75529] Loss_D: -0.023648 Loss_G: -0.002191 Loss_D_real: -0.017440 Loss_D_fake 0.006208
[734/5000][65/535][75530] Loss_D: -0.022219 Loss_G: 0.025355 Loss_D_real: -0.035677 Loss_D_fake -0.013459
[734/5000][70/535][75531] Loss_D: -0.024419 Loss_G: 0.014707 Loss_D_real: -0.021814 Loss_D_fake 0.002605
[734/5000][75/535][75532] Loss_D: -0.023691 Loss_G: 0.005577 Loss_D_real: -0.016513 Loss_D_fake 0.007178
[734/5000][80/535][75533] Loss_D: -0.024030 Loss_G: 0.014780 Loss_D_real: -0.028058 Loss_D_fake -0.004029
[734/5000][85/535][75534] Loss_D: -0.023883 Loss_G: 0.001779 Loss_D_real: -0.003573 Loss_D_fake 0.020309
[734/5000][90/535][75535] Loss_D: -0.023542 Loss_G: 0.010049 Loss_D_real: -0.016544 Loss_D_fake 0.006998
[734/5000][95/535][75536] Loss_D: -0.022940 Loss_G: 0.002167 Loss_D_real: -0.021304 Loss_D_fake 0.001636
[734/5000][100/535][75537] Loss_D: -0.023385 Loss_G: 0.019062 Loss_D_real: -0.034797 Loss_D_fake -0.011412
[734/5000][105/535][75538] Loss_D: -0.023858 Loss_G: 0.013577 Loss_D_real: -0.028630 Loss_D_fake -0.004772
[734/5000][110/535][75539] Loss_D: -0.025181 Loss_G: 0.015560 Loss_D_real: -0.018095 Loss_D_fake 0.007086
[734/5000][115/535][75540] Loss_D: -0.024074 Loss_G: 0.011492 Loss_D_real: -0.021755 Loss_D_fake 0.002320
[734/5000][120/535][75541] Loss_D: -0.025540 Loss_G: -0.013371 Loss_D_real: -0.008651 Loss_D_fake 0.016889
[734/5000][125/535][75542] Loss_D: -0.024849 Loss_G: 0.025119 Loss_D_real: -0.024202 Loss_D_fake 0.000647
[734/5000][130/535][75543] Loss_D: -0.024306 Loss_G: 0.012870 Loss_D_real: -0.025224 Loss_D_fake -0.000917
[734/5000][135/535][75544] Loss_D: -0.023752 Loss_G: 0.024842 Loss_D_real: -0.032085 Loss_D_fake -0.008333
[734/5000][140/535][75545] Loss_D: -0.024374 Loss_G: 0.008199 Loss_D_real: -0.013061 Loss_D_fake 0.011313
[734/5000][145/535][75546] Loss_D: -0.022540 Loss_G: 0.021482 Loss_D_real: -0.029395 Loss_D_fake -0.006855
[734/5000][150/535][75547] Loss_D: -0.024425 Loss_G: 0.018324 Loss_D_real: -0.019909 Loss_D_fake 0.004516
[734/5000][155/535][75548] Loss_D: -0.025294 Loss_G: 0.016641 Loss_D_real: -0.023620 Loss_D_fake 0.001674
[734/5000][160/535][75549] Loss_D: -0.023464 Loss_G: 0.001062 Loss_D_real: -0.006951 Loss_D_fake 0.016513
[734/5000][165/535][75550] Loss_D: -0.023930 Loss_G: 0.011987 Loss_D_real: -0.027247 Loss_D_fake -0.003318
[734/5000][170/535][75551] Loss_D: -0.022648 Loss_G: 0.018965 Loss_D_real: -0.028637 Loss_D_fake -0.005989
[734/5000][175/535][75552] Loss_D: -0.024042 Loss_G: 0.026389 Loss_D_real: -0.026708 Loss_D_fake -0.002665
[734/5000][180/535][75553] Loss_D: -0.023889 Loss_G: 0.022643 Loss_D_real: -0.024015 Loss_D_fake -0.000127
[734/5000][185/535][75554] Loss_D: -0.023430 Loss_G: 0.022750 Loss_D_real: -0.033694 Loss_D_fake -0.010265
[734/5000][190/535][75555] Loss_D: -0.023298 Loss_G: 0.023420 Loss_D_real: -0.024459 Loss_D_fake -0.001161
[734/5000][195/535][75556] Loss_D: -0.024088 Loss_G: 0.000720 Loss_D_real: -0.027436 Loss_D_fake -0.003348
[734/5000][200/535][75557] Loss_D: -0.025752 Loss_G: 0.015703 Loss_D_real: -0.022497 Loss_D_fake 0.003255
[734/5000][205/535][75558] Loss_D: -0.025240 Loss_G: 0.012006 Loss_D_real: -0.019943 Loss_D_fake 0.005297
[734/5000][210/535][75559] Loss_D: -0.023637 Loss_G: 0.009904 Loss_D_real: -0.012140 Loss_D_fake 0.011497
[734/5000][215/535][75560] Loss_D: -0.023382 Loss_G: 0.002016 Loss_D_real: -0.016546 Loss_D_fake 0.006835
[734/5000][220/535][75561] Loss_D: -0.024930 Loss_G: 0.008466 Loss_D_real: -0.015741 Loss_D_fake 0.009189
[734/5000][225/535][75562] Loss_D: -0.024758 Loss_G: 0.018549 Loss_D_real: -0.029078 Loss_D_fake -0.004319
[734/5000][230/535][75563] Loss_D: -0.024618 Loss_G: -0.016548 Loss_D_real: -0.005987 Loss_D_fake 0.018631
[734/5000][235/535][75564] Loss_D: -0.023046 Loss_G: 0.012224 Loss_D_real: -0.034746 Loss_D_fake -0.011700
[734/5000][240/535][75565] Loss_D: -0.025836 Loss_G: 0.012175 Loss_D_real: -0.025393 Loss_D_fake 0.000443
[734/5000][245/535][75566] Loss_D: -0.025042 Loss_G: 0.002947 Loss_D_real: -0.012614 Loss_D_fake 0.012429
[734/5000][250/535][75567] Loss_D: -0.025955 Loss_G: 0.025795 Loss_D_real: -0.028931 Loss_D_fake -0.002976
[734/5000][255/535][75568] Loss_D: -0.023592 Loss_G: 0.014437 Loss_D_real: -0.031339 Loss_D_fake -0.007746
[734/5000][260/535][75569] Loss_D: -0.023562 Loss_G: -0.006097 Loss_D_real: -0.008266 Loss_D_fake 0.015296
[734/5000][265/535][75570] Loss_D: -0.024022 Loss_G: 0.001375 Loss_D_real: -0.020640 Loss_D_fake 0.003382
[734/5000][270/535][75571] Loss_D: -0.023681 Loss_G: 0.035023 Loss_D_real: -0.038583 Loss_D_fake -0.014902
[734/5000][275/535][75572] Loss_D: -0.025252 Loss_G: 0.004862 Loss_D_real: -0.013911 Loss_D_fake 0.011341
[734/5000][280/535][75573] Loss_D: -0.024029 Loss_G: 0.007154 Loss_D_real: -0.012105 Loss_D_fake 0.011923
[734/5000][285/535][75574] Loss_D: -0.024047 Loss_G: -0.014285 Loss_D_real: -0.013995 Loss_D_fake 0.010053
[734/5000][290/535][75575] Loss_D: -0.023770 Loss_G: 0.033655 Loss_D_real: -0.033784 Loss_D_fake -0.010014
[734/5000][295/535][75576] Loss_D: -0.023334 Loss_G: 0.016253 Loss_D_real: -0.021886 Loss_D_fake 0.001448
[734/5000][300/535][75577] Loss_D: -0.023320 Loss_G: 0.010927 Loss_D_real: -0.024427 Loss_D_fake -0.001107
[734/5000][305/535][75578] Loss_D: -0.024250 Loss_G: 0.011719 Loss_D_real: -0.022899 Loss_D_fake 0.001350
[734/5000][310/535][75579] Loss_D: -0.023835 Loss_G: -0.019931 Loss_D_real: -0.007561 Loss_D_fake 0.016275
[734/5000][315/535][75580] Loss_D: -0.022123 Loss_G: 0.031790 Loss_D_real: -0.025110 Loss_D_fake -0.002987
[734/5000][320/535][75581] Loss_D: -0.024364 Loss_G: 0.007238 Loss_D_real: -0.023159 Loss_D_fake 0.001205
[734/5000][325/535][75582] Loss_D: -0.023931 Loss_G: 0.003395 Loss_D_real: -0.019597 Loss_D_fake 0.004334
[734/5000][330/535][75583] Loss_D: -0.023920 Loss_G: 0.005677 Loss_D_real: -0.022666 Loss_D_fake 0.001254
[734/5000][335/535][75584] Loss_D: -0.023481 Loss_G: 0.015115 Loss_D_real: -0.022727 Loss_D_fake 0.000754
[734/5000][340/535][75585] Loss_D: -0.024382 Loss_G: 0.012616 Loss_D_real: -0.024295 Loss_D_fake 0.000087
[734/5000][345/535][75586] Loss_D: -0.023430 Loss_G: 0.003869 Loss_D_real: -0.010436 Loss_D_fake 0.012994
[734/5000][350/535][75587] Loss_D: -0.025395 Loss_G: 0.005370 Loss_D_real: -0.027768 Loss_D_fake -0.002374
[734/5000][355/535][75588] Loss_D: -0.026404 Loss_G: 0.013333 Loss_D_real: -0.020386 Loss_D_fake 0.006018
[734/5000][360/535][75589] Loss_D: -0.023344 Loss_G: -0.011311 Loss_D_real: 0.005483 Loss_D_fake 0.028827
[734/5000][365/535][75590] Loss_D: -0.023481 Loss_G: 0.001147 Loss_D_real: -0.014688 Loss_D_fake 0.008794
[734/5000][370/535][75591] Loss_D: -0.024273 Loss_G: 0.015301 Loss_D_real: -0.030190 Loss_D_fake -0.005917
[734/5000][375/535][75592] Loss_D: -0.023725 Loss_G: -0.018195 Loss_D_real: 0.000931 Loss_D_fake 0.024656
[734/5000][380/535][75593] Loss_D: -0.024512 Loss_G: 0.005085 Loss_D_real: -0.014726 Loss_D_fake 0.009786
[734/5000][385/535][75594] Loss_D: -0.024872 Loss_G: 0.026250 Loss_D_real: -0.027017 Loss_D_fake -0.002145
[734/5000][390/535][75595] Loss_D: -0.024684 Loss_G: 0.011579 Loss_D_real: -0.017044 Loss_D_fake 0.007639
[734/5000][395/535][75596] Loss_D: -0.024755 Loss_G: -0.008267 Loss_D_real: -0.012901 Loss_D_fake 0.011854
[734/5000][400/535][75597] Loss_D: -0.023402 Loss_G: 0.006028 Loss_D_real: -0.023866 Loss_D_fake -0.000464
[734/5000][405/535][75598] Loss_D: -0.022725 Loss_G: 0.002971 Loss_D_real: 0.000838 Loss_D_fake 0.023563
[734/5000][410/535][75599] Loss_D: -0.022618 Loss_G: 0.022702 Loss_D_real: -0.023271 Loss_D_fake -0.000652
[734/5000][415/535][75600] Loss_D: -0.024234 Loss_G: -0.005375 Loss_D_real: -0.010648 Loss_D_fake 0.013586
[734/5000][420/535][75601] Loss_D: -0.022572 Loss_G: 0.017129 Loss_D_real: -0.038149 Loss_D_fake -0.015577
[734/5000][425/535][75602] Loss_D: -0.022117 Loss_G: 0.016174 Loss_D_real: -0.026293 Loss_D_fake -0.004177
[734/5000][430/535][75603] Loss_D: -0.024351 Loss_G: -0.007598 Loss_D_real: -0.003297 Loss_D_fake 0.021054
[734/5000][435/535][75604] Loss_D: -0.024467 Loss_G: 0.017435 Loss_D_real: -0.018658 Loss_D_fake 0.005808
[734/5000][440/535][75605] Loss_D: -0.022819 Loss_G: 0.022938 Loss_D_real: -0.016182 Loss_D_fake 0.006637
[734/5000][445/535][75606] Loss_D: -0.022027 Loss_G: 0.010184 Loss_D_real: -0.022460 Loss_D_fake -0.000433
[734/5000][450/535][75607] Loss_D: -0.023543 Loss_G: 0.015436 Loss_D_real: -0.022175 Loss_D_fake 0.001368
[734/5000][455/535][75608] Loss_D: -0.023503 Loss_G: 0.024254 Loss_D_real: -0.023583 Loss_D_fake -0.000080
[734/5000][460/535][75609] Loss_D: -0.024647 Loss_G: 0.017938 Loss_D_real: -0.019386 Loss_D_fake 0.005261
[734/5000][465/535][75610] Loss_D: -0.022779 Loss_G: 0.006062 Loss_D_real: -0.016838 Loss_D_fake 0.005941
[734/5000][470/535][75611] Loss_D: -0.024492 Loss_G: -0.005226 Loss_D_real: -0.016608 Loss_D_fake 0.007884
[734/5000][475/535][75612] Loss_D: -0.024201 Loss_G: 0.012711 Loss_D_real: -0.013735 Loss_D_fake 0.010466
[734/5000][480/535][75613] Loss_D: -0.022860 Loss_G: 0.023782 Loss_D_real: -0.029645 Loss_D_fake -0.006785
[734/5000][485/535][75614] Loss_D: -0.026520 Loss_G: 0.008568 Loss_D_real: -0.027191 Loss_D_fake -0.000670
[734/5000][490/535][75615] Loss_D: -0.024045 Loss_G: -0.013614 Loss_D_real: -0.001144 Loss_D_fake 0.022900
[734/5000][495/535][75616] Loss_D: -0.023915 Loss_G: 0.011192 Loss_D_real: -0.026423 Loss_D_fake -0.002507
[734/5000][500/535][75617] Loss_D: -0.025814 Loss_G: -0.006162 Loss_D_real: -0.015003 Loss_D_fake 0.010811
[734/5000][505/535][75618] Loss_D: -0.025754 Loss_G: 0.028960 Loss_D_real: -0.034097 Loss_D_fake -0.008344
[734/5000][510/535][75619] Loss_D: -0.024938 Loss_G: 0.009948 Loss_D_real: -0.016574 Loss_D_fake 0.008363
[734/5000][515/535][75620] Loss_D: -0.023610 Loss_G: 0.020262 Loss_D_real: -0.019449 Loss_D_fake 0.004161
[734/5000][520/535][75621] Loss_D: -0.024945 Loss_G: 0.015252 Loss_D_real: -0.025775 Loss_D_fake -0.000830
[734/5000][525/535][75622] Loss_D: -0.025838 Loss_G: -0.002356 Loss_D_real: -0.015042 Loss_D_fake 0.010796
[734/5000][530/535][75623] Loss_D: -0.024564 Loss_G: 0.017804 Loss_D_real: -0.027074 Loss_D_fake -0.002510
[734/5000][535/535][75624] Loss_D: -0.022218 Loss_G: 0.044247 Loss_D_real: -0.028093 Loss_D_fake -0.005875
[735/5000][5/535][75625] Loss_D: -0.023398 Loss_G: 0.018121 Loss_D_real: -0.025789 Loss_D_fake -0.002391
[735/5000][10/535][75626] Loss_D: -0.023864 Loss_G: 0.011311 Loss_D_real: -0.025158 Loss_D_fake -0.001294
[735/5000][15/535][75627] Loss_D: -0.023822 Loss_G: 0.016781 Loss_D_real: -0.023311 Loss_D_fake 0.000510
[735/5000][20/535][75628] Loss_D: -0.023325 Loss_G: -0.015743 Loss_D_real: -0.001566 Loss_D_fake 0.021759
[735/5000][25/535][75629] Loss_D: -0.023689 Loss_G: -0.004203 Loss_D_real: -0.006791 Loss_D_fake 0.016899
[735/5000][30/535][75630] Loss_D: -0.023500 Loss_G: 0.007033 Loss_D_real: -0.023713 Loss_D_fake -0.000214
[735/5000][35/535][75631] Loss_D: -0.024551 Loss_G: 0.026997 Loss_D_real: -0.030449 Loss_D_fake -0.005898
[735/5000][40/535][75632] Loss_D: -0.022255 Loss_G: 0.018361 Loss_D_real: -0.027708 Loss_D_fake -0.005453
[735/5000][45/535][75633] Loss_D: -0.025310 Loss_G: 0.024700 Loss_D_real: -0.027617 Loss_D_fake -0.002307
[735/5000][50/535][75634] Loss_D: -0.024259 Loss_G: -0.002794 Loss_D_real: -0.011725 Loss_D_fake 0.012534
[735/5000][55/535][75635] Loss_D: -0.023756 Loss_G: 0.020850 Loss_D_real: -0.033025 Loss_D_fake -0.009269
[735/5000][60/535][75636] Loss_D: -0.024730 Loss_G: 0.015301 Loss_D_real: -0.025777 Loss_D_fake -0.001047
[735/5000][65/535][75637] Loss_D: -0.024493 Loss_G: 0.003479 Loss_D_real: -0.014877 Loss_D_fake 0.009616
[735/5000][70/535][75638] Loss_D: -0.024560 Loss_G: -0.002918 Loss_D_real: -0.013294 Loss_D_fake 0.011266
[735/5000][75/535][75639] Loss_D: -0.024143 Loss_G: 0.014632 Loss_D_real: -0.029658 Loss_D_fake -0.005515
[735/5000][80/535][75640] Loss_D: -0.024354 Loss_G: 0.010008 Loss_D_real: -0.023095 Loss_D_fake 0.001259
[735/5000][85/535][75641] Loss_D: -0.024043 Loss_G: 0.008837 Loss_D_real: -0.016905 Loss_D_fake 0.007138
[735/5000][90/535][75642] Loss_D: -0.024068 Loss_G: -0.002148 Loss_D_real: -0.006682 Loss_D_fake 0.017386
[735/5000][95/535][75643] Loss_D: -0.024583 Loss_G: 0.006659 Loss_D_real: -0.018290 Loss_D_fake 0.006293
[735/5000][100/535][75644] Loss_D: -0.024885 Loss_G: -0.007755 Loss_D_real: -0.016110 Loss_D_fake 0.008775
[735/5000][105/535][75645] Loss_D: -0.023679 Loss_G: 0.020120 Loss_D_real: -0.029369 Loss_D_fake -0.005690
[735/5000][110/535][75646] Loss_D: -0.024270 Loss_G: 0.014270 Loss_D_real: -0.024593 Loss_D_fake -0.000324
[735/5000][115/535][75647] Loss_D: -0.022611 Loss_G: 0.007175 Loss_D_real: -0.029168 Loss_D_fake -0.006556
[735/5000][120/535][75648] Loss_D: -0.023641 Loss_G: 0.025110 Loss_D_real: -0.029167 Loss_D_fake -0.005526
[735/5000][125/535][75649] Loss_D: -0.024106 Loss_G: 0.003838 Loss_D_real: -0.007309 Loss_D_fake 0.016798
[735/5000][130/535][75650] Loss_D: -0.025280 Loss_G: 0.006550 Loss_D_real: -0.015319 Loss_D_fake 0.009961
[735/5000][135/535][75651] Loss_D: -0.023047 Loss_G: 0.022166 Loss_D_real: -0.033547 Loss_D_fake -0.010500
[735/5000][140/535][75652] Loss_D: -0.025180 Loss_G: 0.002487 Loss_D_real: -0.014483 Loss_D_fake 0.010697
[735/5000][145/535][75653] Loss_D: -0.023220 Loss_G: 0.030908 Loss_D_real: -0.032058 Loss_D_fake -0.008838
[735/5000][150/535][75654] Loss_D: -0.024332 Loss_G: 0.010681 Loss_D_real: -0.012472 Loss_D_fake 0.011860
[735/5000][155/535][75655] Loss_D: -0.023831 Loss_G: 0.001096 Loss_D_real: -0.013711 Loss_D_fake 0.010120
[735/5000][160/535][75656] Loss_D: -0.024116 Loss_G: 0.001011 Loss_D_real: -0.014921 Loss_D_fake 0.009195
[735/5000][165/535][75657] Loss_D: -0.025378 Loss_G: 0.011510 Loss_D_real: -0.034911 Loss_D_fake -0.009533
[735/5000][170/535][75658] Loss_D: -0.023906 Loss_G: -0.004578 Loss_D_real: -0.016411 Loss_D_fake 0.007495
[735/5000][175/535][75659] Loss_D: -0.023869 Loss_G: 0.007232 Loss_D_real: -0.018771 Loss_D_fake 0.005098
[735/5000][180/535][75660] Loss_D: -0.023059 Loss_G: 0.024633 Loss_D_real: -0.027492 Loss_D_fake -0.004433
[735/5000][185/535][75661] Loss_D: -0.022838 Loss_G: 0.016534 Loss_D_real: -0.035508 Loss_D_fake -0.012670
[735/5000][190/535][75662] Loss_D: -0.024349 Loss_G: 0.021304 Loss_D_real: -0.031953 Loss_D_fake -0.007603
[735/5000][195/535][75663] Loss_D: -0.022369 Loss_G: 0.022853 Loss_D_real: -0.033457 Loss_D_fake -0.011088
[735/5000][200/535][75664] Loss_D: -0.024493 Loss_G: -0.007410 Loss_D_real: -0.001847 Loss_D_fake 0.022647
[735/5000][205/535][75665] Loss_D: -0.024960 Loss_G: 0.023414 Loss_D_real: -0.025776 Loss_D_fake -0.000816
[735/5000][210/535][75666] Loss_D: -0.024422 Loss_G: 0.017306 Loss_D_real: -0.022346 Loss_D_fake 0.002077
[735/5000][215/535][75667] Loss_D: -0.022821 Loss_G: 0.007979 Loss_D_real: -0.004137 Loss_D_fake 0.018684
[735/5000][220/535][75668] Loss_D: -0.024337 Loss_G: 0.009042 Loss_D_real: -0.025967 Loss_D_fake -0.001630
[735/5000][225/535][75669] Loss_D: -0.025655 Loss_G: 0.020405 Loss_D_real: -0.029543 Loss_D_fake -0.003888
[735/5000][230/535][75670] Loss_D: -0.025547 Loss_G: 0.019223 Loss_D_real: -0.014208 Loss_D_fake 0.011339
[735/5000][235/535][75671] Loss_D: -0.023287 Loss_G: 0.022483 Loss_D_real: -0.035036 Loss_D_fake -0.011749
[735/5000][240/535][75672] Loss_D: -0.023381 Loss_G: 0.028551 Loss_D_real: -0.024068 Loss_D_fake -0.000687
[735/5000][245/535][75673] Loss_D: -0.024383 Loss_G: 0.011534 Loss_D_real: -0.031872 Loss_D_fake -0.007488
[735/5000][250/535][75674] Loss_D: -0.023531 Loss_G: 0.009020 Loss_D_real: -0.017840 Loss_D_fake 0.005690
[735/5000][255/535][75675] Loss_D: -0.023672 Loss_G: 0.002117 Loss_D_real: -0.012602 Loss_D_fake 0.011070
[735/5000][260/535][75676] Loss_D: -0.024149 Loss_G: 0.003599 Loss_D_real: -0.018089 Loss_D_fake 0.006059
[735/5000][265/535][75677] Loss_D: -0.024965 Loss_G: -0.002554 Loss_D_real: -0.008192 Loss_D_fake 0.016774
[735/5000][270/535][75678] Loss_D: -0.024998 Loss_G: 0.008156 Loss_D_real: -0.025613 Loss_D_fake -0.000614
[735/5000][275/535][75679] Loss_D: -0.023484 Loss_G: 0.007590 Loss_D_real: -0.015743 Loss_D_fake 0.007741
[735/5000][280/535][75680] Loss_D: -0.025275 Loss_G: 0.012649 Loss_D_real: -0.024949 Loss_D_fake 0.000326
[735/5000][285/535][75681] Loss_D: -0.023570 Loss_G: -0.000183 Loss_D_real: 0.000893 Loss_D_fake 0.024462
[735/5000][290/535][75682] Loss_D: -0.024288 Loss_G: 0.010943 Loss_D_real: -0.025642 Loss_D_fake -0.001355
[735/5000][295/535][75683] Loss_D: -0.022955 Loss_G: -0.020459 Loss_D_real: 0.003832 Loss_D_fake 0.026786
[735/5000][300/535][75684] Loss_D: -0.024904 Loss_G: 0.003647 Loss_D_real: -0.019770 Loss_D_fake 0.005134
[735/5000][305/535][75685] Loss_D: -0.023870 Loss_G: 0.031578 Loss_D_real: -0.023194 Loss_D_fake 0.000677
[735/5000][310/535][75686] Loss_D: -0.023667 Loss_G: 0.019306 Loss_D_real: -0.022730 Loss_D_fake 0.000936
[735/5000][315/535][75687] Loss_D: -0.024340 Loss_G: -0.007079 Loss_D_real: -0.012410 Loss_D_fake 0.011930
[735/5000][320/535][75688] Loss_D: -0.023801 Loss_G: -0.004694 Loss_D_real: -0.009662 Loss_D_fake 0.014139
[735/5000][325/535][75689] Loss_D: -0.024561 Loss_G: 0.004381 Loss_D_real: -0.016413 Loss_D_fake 0.008149
[735/5000][330/535][75690] Loss_D: -0.023762 Loss_G: 0.011832 Loss_D_real: -0.021885 Loss_D_fake 0.001877
[735/5000][335/535][75691] Loss_D: -0.023642 Loss_G: 0.013284 Loss_D_real: -0.021821 Loss_D_fake 0.001820
[735/5000][340/535][75692] Loss_D: -0.024483 Loss_G: -0.012219 Loss_D_real: -0.006161 Loss_D_fake 0.018322
[735/5000][345/535][75693] Loss_D: -0.023871 Loss_G: 0.014405 Loss_D_real: -0.023023 Loss_D_fake 0.000848
[735/5000][350/535][75694] Loss_D: -0.024393 Loss_G: 0.012631 Loss_D_real: -0.026133 Loss_D_fake -0.001739
[735/5000][355/535][75695] Loss_D: -0.024908 Loss_G: 0.001667 Loss_D_real: -0.015288 Loss_D_fake 0.009620
[735/5000][360/535][75696] Loss_D: -0.025280 Loss_G: 0.012062 Loss_D_real: -0.015332 Loss_D_fake 0.009947
[735/5000][365/535][75697] Loss_D: -0.022894 Loss_G: 0.028216 Loss_D_real: -0.026071 Loss_D_fake -0.003178
[735/5000][370/535][75698] Loss_D: -0.025453 Loss_G: 0.005905 Loss_D_real: -0.005502 Loss_D_fake 0.019951
[735/5000][375/535][75699] Loss_D: -0.024413 Loss_G: 0.021687 Loss_D_real: -0.024471 Loss_D_fake -0.000057
[735/5000][380/535][75700] Loss_D: -0.025040 Loss_G: 0.015019 Loss_D_real: -0.026931 Loss_D_fake -0.001891
[735/5000][385/535][75701] Loss_D: -0.025128 Loss_G: 0.014063 Loss_D_real: -0.023012 Loss_D_fake 0.002116
[735/5000][390/535][75702] Loss_D: -0.022306 Loss_G: -0.019203 Loss_D_real: 0.008023 Loss_D_fake 0.030330
[735/5000][395/535][75703] Loss_D: -0.022053 Loss_G: 0.015699 Loss_D_real: -0.026660 Loss_D_fake -0.004607
[735/5000][400/535][75704] Loss_D: -0.024173 Loss_G: 0.008663 Loss_D_real: -0.011006 Loss_D_fake 0.013167
[735/5000][405/535][75705] Loss_D: -0.025107 Loss_G: 0.019373 Loss_D_real: -0.027546 Loss_D_fake -0.002439
[735/5000][410/535][75706] Loss_D: -0.023949 Loss_G: 0.017696 Loss_D_real: -0.031830 Loss_D_fake -0.007881
[735/5000][415/535][75707] Loss_D: -0.024513 Loss_G: 0.011069 Loss_D_real: -0.013987 Loss_D_fake 0.010525
[735/5000][420/535][75708] Loss_D: -0.024543 Loss_G: 0.009739 Loss_D_real: -0.023539 Loss_D_fake 0.001004
[735/5000][425/535][75709] Loss_D: -0.022439 Loss_G: 0.004006 Loss_D_real: -0.025705 Loss_D_fake -0.003266
[735/5000][430/535][75710] Loss_D: -0.023437 Loss_G: 0.006230 Loss_D_real: -0.017951 Loss_D_fake 0.005485
[735/5000][435/535][75711] Loss_D: -0.024571 Loss_G: 0.011690 Loss_D_real: -0.020414 Loss_D_fake 0.004157
[735/5000][440/535][75712] Loss_D: -0.023890 Loss_G: -0.000880 Loss_D_real: -0.023819 Loss_D_fake 0.000071
[735/5000][445/535][75713] Loss_D: -0.024895 Loss_G: 0.003034 Loss_D_real: -0.015838 Loss_D_fake 0.009057
[735/5000][450/535][75714] Loss_D: -0.023267 Loss_G: 0.023569 Loss_D_real: -0.040422 Loss_D_fake -0.017155
[735/5000][455/535][75715] Loss_D: -0.023659 Loss_G: 0.014511 Loss_D_real: -0.012681 Loss_D_fake 0.010978
[735/5000][460/535][75716] Loss_D: -0.023642 Loss_G: 0.010227 Loss_D_real: -0.031892 Loss_D_fake -0.008251
[735/5000][465/535][75717] Loss_D: -0.023357 Loss_G: 0.010766 Loss_D_real: -0.022582 Loss_D_fake 0.000775
[735/5000][470/535][75718] Loss_D: -0.023069 Loss_G: -0.010425 Loss_D_real: 0.002547 Loss_D_fake 0.025616
[735/5000][475/535][75719] Loss_D: -0.023616 Loss_G: 0.006522 Loss_D_real: -0.011726 Loss_D_fake 0.011890
[735/5000][480/535][75720] Loss_D: -0.022695 Loss_G: 0.011163 Loss_D_real: -0.020802 Loss_D_fake 0.001893
[735/5000][485/535][75721] Loss_D: -0.023426 Loss_G: 0.007570 Loss_D_real: -0.012306 Loss_D_fake 0.011120
[735/5000][490/535][75722] Loss_D: -0.023160 Loss_G: 0.018719 Loss_D_real: -0.023228 Loss_D_fake -0.000068
[735/5000][495/535][75723] Loss_D: -0.024176 Loss_G: 0.005475 Loss_D_real: -0.011632 Loss_D_fake 0.012545
[735/5000][500/535][75724] Loss_D: -0.024052 Loss_G: -0.007128 Loss_D_real: -0.009621 Loss_D_fake 0.014430
[735/5000][505/535][75725] Loss_D: -0.022916 Loss_G: 0.029960 Loss_D_real: -0.032767 Loss_D_fake -0.009851
[735/5000][510/535][75726] Loss_D: -0.024357 Loss_G: -0.006018 Loss_D_real: -0.013959 Loss_D_fake 0.010397
[735/5000][515/535][75727] Loss_D: -0.024648 Loss_G: 0.004090 Loss_D_real: -0.019131 Loss_D_fake 0.005517
[735/5000][520/535][75728] Loss_D: -0.024007 Loss_G: -0.005039 Loss_D_real: -0.020121 Loss_D_fake 0.003886
[735/5000][525/535][75729] Loss_D: -0.023828 Loss_G: 0.035277 Loss_D_real: -0.023688 Loss_D_fake 0.000139
[735/5000][530/535][75730] Loss_D: -0.023333 Loss_G: 0.018072 Loss_D_real: -0.024609 Loss_D_fake -0.001276
[735/5000][535/535][75731] Loss_D: -0.021358 Loss_G: 0.009993 Loss_D_real: -0.014997 Loss_D_fake 0.006361
[736/5000][5/535][75732] Loss_D: -0.023653 Loss_G: 0.015769 Loss_D_real: -0.025144 Loss_D_fake -0.001491
[736/5000][10/535][75733] Loss_D: -0.024436 Loss_G: -0.001560 Loss_D_real: -0.001992 Loss_D_fake 0.022444
[736/5000][15/535][75734] Loss_D: -0.022996 Loss_G: 0.020958 Loss_D_real: -0.031277 Loss_D_fake -0.008281
[736/5000][20/535][75735] Loss_D: -0.023633 Loss_G: -0.009611 Loss_D_real: -0.003984 Loss_D_fake 0.019648
[736/5000][25/535][75736] Loss_D: -0.024210 Loss_G: 0.013265 Loss_D_real: -0.016409 Loss_D_fake 0.007801
[736/5000][30/535][75737] Loss_D: -0.025546 Loss_G: 0.005541 Loss_D_real: -0.019470 Loss_D_fake 0.006076
[736/5000][35/535][75738] Loss_D: -0.025774 Loss_G: 0.006986 Loss_D_real: -0.007143 Loss_D_fake 0.018631
[736/5000][40/535][75739] Loss_D: -0.024407 Loss_G: 0.030596 Loss_D_real: -0.030989 Loss_D_fake -0.006582
[736/5000][45/535][75740] Loss_D: -0.024060 Loss_G: 0.020907 Loss_D_real: -0.020495 Loss_D_fake 0.003565
[736/5000][50/535][75741] Loss_D: -0.023997 Loss_G: -0.005211 Loss_D_real: -0.005436 Loss_D_fake 0.018561
[736/5000][55/535][75742] Loss_D: -0.024044 Loss_G: -0.005377 Loss_D_real: -0.024924 Loss_D_fake -0.000880
[736/5000][60/535][75743] Loss_D: -0.024070 Loss_G: 0.001660 Loss_D_real: 0.004839 Loss_D_fake 0.028909
[736/5000][65/535][75744] Loss_D: -0.024054 Loss_G: 0.002707 Loss_D_real: -0.019661 Loss_D_fake 0.004393
[736/5000][70/535][75745] Loss_D: -0.023559 Loss_G: 0.032163 Loss_D_real: -0.036062 Loss_D_fake -0.012503
[736/5000][75/535][75746] Loss_D: -0.024693 Loss_G: 0.020234 Loss_D_real: -0.023604 Loss_D_fake 0.001089
[736/5000][80/535][75747] Loss_D: -0.024263 Loss_G: -0.006581 Loss_D_real: -0.013915 Loss_D_fake 0.010348
[736/5000][85/535][75748] Loss_D: -0.024928 Loss_G: 0.010552 Loss_D_real: -0.022461 Loss_D_fake 0.002467
[736/5000][90/535][75749] Loss_D: -0.023983 Loss_G: 0.014404 Loss_D_real: -0.014894 Loss_D_fake 0.009088
[736/5000][95/535][75750] Loss_D: -0.024632 Loss_G: 0.014219 Loss_D_real: -0.018463 Loss_D_fake 0.006169
[736/5000][100/535][75751] Loss_D: -0.024187 Loss_G: -0.003372 Loss_D_real: -0.005057 Loss_D_fake 0.019130
[736/5000][105/535][75752] Loss_D: -0.023233 Loss_G: 0.013683 Loss_D_real: -0.027583 Loss_D_fake -0.004350
[736/5000][110/535][75753] Loss_D: -0.023849 Loss_G: 0.018802 Loss_D_real: -0.032438 Loss_D_fake -0.008589
[736/5000][115/535][75754] Loss_D: -0.024521 Loss_G: 0.008461 Loss_D_real: -0.020708 Loss_D_fake 0.003813
[736/5000][120/535][75755] Loss_D: -0.025043 Loss_G: 0.002734 Loss_D_real: -0.017632 Loss_D_fake 0.007411
[736/5000][125/535][75756] Loss_D: -0.024141 Loss_G: 0.018487 Loss_D_real: -0.033032 Loss_D_fake -0.008890
[736/5000][130/535][75757] Loss_D: -0.025446 Loss_G: 0.012954 Loss_D_real: -0.023640 Loss_D_fake 0.001806
[736/5000][135/535][75758] Loss_D: -0.027703 Loss_G: 0.005757 Loss_D_real: -0.023231 Loss_D_fake 0.004472
[736/5000][140/535][75759] Loss_D: -0.025519 Loss_G: 0.017164 Loss_D_real: -0.030506 Loss_D_fake -0.004987
[736/5000][145/535][75760] Loss_D: -0.026054 Loss_G: 0.015706 Loss_D_real: -0.019742 Loss_D_fake 0.006312
[736/5000][150/535][75761] Loss_D: -0.023871 Loss_G: 0.014489 Loss_D_real: -0.017926 Loss_D_fake 0.005945
[736/5000][155/535][75762] Loss_D: -0.025740 Loss_G: 0.009565 Loss_D_real: -0.019740 Loss_D_fake 0.006000
[736/5000][160/535][75763] Loss_D: -0.023034 Loss_G: 0.016442 Loss_D_real: -0.016691 Loss_D_fake 0.006343
[736/5000][165/535][75764] Loss_D: -0.023374 Loss_G: 0.005340 Loss_D_real: -0.007612 Loss_D_fake 0.015762
[736/5000][170/535][75765] Loss_D: -0.023249 Loss_G: -0.006831 Loss_D_real: -0.018583 Loss_D_fake 0.004665
[736/5000][175/535][75766] Loss_D: -0.024238 Loss_G: 0.022259 Loss_D_real: -0.012215 Loss_D_fake 0.012023
[736/5000][180/535][75767] Loss_D: -0.023304 Loss_G: 0.004297 Loss_D_real: -0.017117 Loss_D_fake 0.006187
[736/5000][185/535][75768] Loss_D: -0.024397 Loss_G: 0.022087 Loss_D_real: -0.022949 Loss_D_fake 0.001448
[736/5000][190/535][75769] Loss_D: -0.022977 Loss_G: -0.005068 Loss_D_real: -0.001824 Loss_D_fake 0.021153
[736/5000][195/535][75770] Loss_D: -0.023144 Loss_G: 0.006001 Loss_D_real: -0.028951 Loss_D_fake -0.005806
[736/5000][200/535][75771] Loss_D: -0.023913 Loss_G: 0.014369 Loss_D_real: -0.019455 Loss_D_fake 0.004458
[736/5000][205/535][75772] Loss_D: -0.023698 Loss_G: 0.030055 Loss_D_real: -0.033367 Loss_D_fake -0.009669
[736/5000][210/535][75773] Loss_D: -0.023467 Loss_G: 0.014583 Loss_D_real: -0.014455 Loss_D_fake 0.009013
[736/5000][215/535][75774] Loss_D: -0.023435 Loss_G: 0.010451 Loss_D_real: -0.026112 Loss_D_fake -0.002677
[736/5000][220/535][75775] Loss_D: -0.023858 Loss_G: 0.007735 Loss_D_real: -0.030352 Loss_D_fake -0.006494
[736/5000][225/535][75776] Loss_D: -0.023928 Loss_G: 0.024202 Loss_D_real: -0.028895 Loss_D_fake -0.004967
[736/5000][230/535][75777] Loss_D: -0.023973 Loss_G: 0.003894 Loss_D_real: -0.014409 Loss_D_fake 0.009564
[736/5000][235/535][75778] Loss_D: -0.023086 Loss_G: 0.002225 Loss_D_real: -0.011616 Loss_D_fake 0.011470
[736/5000][240/535][75779] Loss_D: -0.024028 Loss_G: 0.016107 Loss_D_real: -0.030833 Loss_D_fake -0.006805
[736/5000][245/535][75780] Loss_D: -0.023604 Loss_G: -0.006638 Loss_D_real: -0.016571 Loss_D_fake 0.007034
[736/5000][250/535][75781] Loss_D: -0.024298 Loss_G: 0.019741 Loss_D_real: -0.022086 Loss_D_fake 0.002211
[736/5000][255/535][75782] Loss_D: -0.024521 Loss_G: 0.017033 Loss_D_real: -0.018001 Loss_D_fake 0.006520
[736/5000][260/535][75783] Loss_D: -0.024010 Loss_G: 0.021455 Loss_D_real: -0.025049 Loss_D_fake -0.001039
[736/5000][265/535][75784] Loss_D: -0.025876 Loss_G: -0.006273 Loss_D_real: -0.013433 Loss_D_fake 0.012443
[736/5000][270/535][75785] Loss_D: -0.024915 Loss_G: 0.021557 Loss_D_real: -0.029150 Loss_D_fake -0.004235
[736/5000][275/535][75786] Loss_D: -0.024154 Loss_G: -0.009260 Loss_D_real: 0.000821 Loss_D_fake 0.024975
[736/5000][280/535][75787] Loss_D: -0.023238 Loss_G: 0.026401 Loss_D_real: -0.034404 Loss_D_fake -0.011166
[736/5000][285/535][75788] Loss_D: -0.022067 Loss_G: 0.023516 Loss_D_real: -0.033857 Loss_D_fake -0.011790
[736/5000][290/535][75789] Loss_D: -0.022890 Loss_G: 0.008548 Loss_D_real: -0.009881 Loss_D_fake 0.013008
[736/5000][295/535][75790] Loss_D: -0.023536 Loss_G: -0.009213 Loss_D_real: -0.007914 Loss_D_fake 0.015622
[736/5000][300/535][75791] Loss_D: -0.024214 Loss_G: -0.012038 Loss_D_real: -0.012171 Loss_D_fake 0.012043
[736/5000][305/535][75792] Loss_D: -0.023127 Loss_G: 0.016338 Loss_D_real: -0.017541 Loss_D_fake 0.005586
[736/5000][310/535][75793] Loss_D: -0.024129 Loss_G: -0.000523 Loss_D_real: -0.007397 Loss_D_fake 0.016732
[736/5000][315/535][75794] Loss_D: -0.023504 Loss_G: 0.008077 Loss_D_real: -0.018455 Loss_D_fake 0.005048
[736/5000][320/535][75795] Loss_D: -0.023667 Loss_G: 0.016944 Loss_D_real: -0.034284 Loss_D_fake -0.010617
[736/5000][325/535][75796] Loss_D: -0.023981 Loss_G: 0.022219 Loss_D_real: -0.016919 Loss_D_fake 0.007062
[736/5000][330/535][75797] Loss_D: -0.022752 Loss_G: -0.009378 Loss_D_real: -0.007302 Loss_D_fake 0.015450
[736/5000][335/535][75798] Loss_D: -0.023834 Loss_G: 0.006558 Loss_D_real: -0.012165 Loss_D_fake 0.011669
[736/5000][340/535][75799] Loss_D: -0.022730 Loss_G: -0.007400 Loss_D_real: -0.007576 Loss_D_fake 0.015155
[736/5000][345/535][75800] Loss_D: -0.023213 Loss_G: 0.025743 Loss_D_real: -0.034672 Loss_D_fake -0.011459
[736/5000][350/535][75801] Loss_D: -0.024855 Loss_G: 0.017275 Loss_D_real: -0.024954 Loss_D_fake -0.000099
[736/5000][355/535][75802] Loss_D: -0.024203 Loss_G: 0.021605 Loss_D_real: -0.019403 Loss_D_fake 0.004800
[736/5000][360/535][75803] Loss_D: -0.024759 Loss_G: 0.010309 Loss_D_real: -0.025490 Loss_D_fake -0.000731
[736/5000][365/535][75804] Loss_D: -0.023951 Loss_G: 0.026407 Loss_D_real: -0.036587 Loss_D_fake -0.012636
[736/5000][370/535][75805] Loss_D: -0.022463 Loss_G: 0.024382 Loss_D_real: -0.033094 Loss_D_fake -0.010631
[736/5000][375/535][75806] Loss_D: -0.023390 Loss_G: 0.013141 Loss_D_real: -0.019183 Loss_D_fake 0.004207
[736/5000][380/535][75807] Loss_D: -0.023828 Loss_G: 0.008460 Loss_D_real: -0.017113 Loss_D_fake 0.006715
[736/5000][385/535][75808] Loss_D: -0.023288 Loss_G: 0.015034 Loss_D_real: -0.030235 Loss_D_fake -0.006947
[736/5000][390/535][75809] Loss_D: -0.023617 Loss_G: 0.014574 Loss_D_real: -0.021368 Loss_D_fake 0.002250
[736/5000][395/535][75810] Loss_D: -0.022411 Loss_G: 0.024469 Loss_D_real: -0.024625 Loss_D_fake -0.002214
[736/5000][400/535][75811] Loss_D: -0.023564 Loss_G: 0.010562 Loss_D_real: -0.017375 Loss_D_fake 0.006190
[736/5000][405/535][75812] Loss_D: -0.023785 Loss_G: 0.003159 Loss_D_real: -0.017742 Loss_D_fake 0.006044
[736/5000][410/535][75813] Loss_D: -0.023162 Loss_G: 0.020992 Loss_D_real: -0.026130 Loss_D_fake -0.002968
[736/5000][415/535][75814] Loss_D: -0.023526 Loss_G: 0.016438 Loss_D_real: -0.033052 Loss_D_fake -0.009526
[736/5000][420/535][75815] Loss_D: -0.024302 Loss_G: 0.015234 Loss_D_real: -0.013616 Loss_D_fake 0.010686
[736/5000][425/535][75816] Loss_D: -0.023854 Loss_G: -0.005439 Loss_D_real: -0.010190 Loss_D_fake 0.013664
[736/5000][430/535][75817] Loss_D: -0.024081 Loss_G: 0.019829 Loss_D_real: -0.026729 Loss_D_fake -0.002649
[736/5000][435/535][75818] Loss_D: -0.023091 Loss_G: 0.022178 Loss_D_real: -0.034792 Loss_D_fake -0.011701
[736/5000][440/535][75819] Loss_D: -0.025183 Loss_G: -0.010637 Loss_D_real: 0.004873 Loss_D_fake 0.030056
[736/5000][445/535][75820] Loss_D: -0.023203 Loss_G: 0.015945 Loss_D_real: -0.022468 Loss_D_fake 0.000735
[736/5000][450/535][75821] Loss_D: -0.023684 Loss_G: 0.023676 Loss_D_real: -0.024426 Loss_D_fake -0.000742
[736/5000][455/535][75822] Loss_D: -0.023213 Loss_G: 0.022931 Loss_D_real: -0.017206 Loss_D_fake 0.006007
[736/5000][460/535][75823] Loss_D: -0.025529 Loss_G: -0.007966 Loss_D_real: -0.006666 Loss_D_fake 0.018863
[736/5000][465/535][75824] Loss_D: -0.024288 Loss_G: 0.001469 Loss_D_real: -0.015806 Loss_D_fake 0.008483
[736/5000][470/535][75825] Loss_D: -0.023807 Loss_G: 0.018853 Loss_D_real: -0.025640 Loss_D_fake -0.001832
[736/5000][475/535][75826] Loss_D: -0.025350 Loss_G: 0.013400 Loss_D_real: -0.015332 Loss_D_fake 0.010019
[736/5000][480/535][75827] Loss_D: -0.024078 Loss_G: 0.025942 Loss_D_real: -0.035814 Loss_D_fake -0.011736
[736/5000][485/535][75828] Loss_D: -0.025409 Loss_G: 0.001087 Loss_D_real: -0.016324 Loss_D_fake 0.009085
[736/5000][490/535][75829] Loss_D: -0.023792 Loss_G: 0.030383 Loss_D_real: -0.034669 Loss_D_fake -0.010877
[736/5000][495/535][75830] Loss_D: -0.024826 Loss_G: 0.008467 Loss_D_real: -0.014270 Loss_D_fake 0.010555
[736/5000][500/535][75831] Loss_D: -0.022962 Loss_G: 0.022394 Loss_D_real: -0.034978 Loss_D_fake -0.012017
[736/5000][505/535][75832] Loss_D: -0.025384 Loss_G: 0.004482 Loss_D_real: -0.021713 Loss_D_fake 0.003671
[736/5000][510/535][75833] Loss_D: -0.024349 Loss_G: 0.027998 Loss_D_real: -0.029856 Loss_D_fake -0.005506
[736/5000][515/535][75834] Loss_D: -0.025474 Loss_G: 0.007328 Loss_D_real: -0.016468 Loss_D_fake 0.009006
[736/5000][520/535][75835] Loss_D: -0.024702 Loss_G: -0.006848 Loss_D_real: -0.014062 Loss_D_fake 0.010640
[736/5000][525/535][75836] Loss_D: -0.024436 Loss_G: 0.023362 Loss_D_real: -0.029690 Loss_D_fake -0.005254
[736/5000][530/535][75837] Loss_D: -0.023916 Loss_G: -0.003830 Loss_D_real: -0.003891 Loss_D_fake 0.020025
[736/5000][535/535][75838] Loss_D: -0.023397 Loss_G: -0.002888 Loss_D_real: -0.019908 Loss_D_fake 0.003489
[737/5000][5/535][75839] Loss_D: -0.024320 Loss_G: 0.007532 Loss_D_real: -0.025270 Loss_D_fake -0.000950
[737/5000][10/535][75840] Loss_D: -0.024271 Loss_G: 0.021315 Loss_D_real: -0.016801 Loss_D_fake 0.007470
[737/5000][15/535][75841] Loss_D: -0.024220 Loss_G: -0.005923 Loss_D_real: -0.006784 Loss_D_fake 0.017436
[737/5000][20/535][75842] Loss_D: -0.024673 Loss_G: -0.000843 Loss_D_real: -0.015243 Loss_D_fake 0.009430
[737/5000][25/535][75843] Loss_D: -0.024753 Loss_G: 0.004728 Loss_D_real: -0.003875 Loss_D_fake 0.020878
[737/5000][30/535][75844] Loss_D: -0.024174 Loss_G: 0.015653 Loss_D_real: -0.026324 Loss_D_fake -0.002150
[737/5000][35/535][75845] Loss_D: -0.024508 Loss_G: 0.024522 Loss_D_real: -0.024987 Loss_D_fake -0.000479
[737/5000][40/535][75846] Loss_D: -0.024902 Loss_G: 0.014533 Loss_D_real: -0.020878 Loss_D_fake 0.004024
[737/5000][45/535][75847] Loss_D: -0.023618 Loss_G: 0.031290 Loss_D_real: -0.040282 Loss_D_fake -0.016663
[737/5000][50/535][75848] Loss_D: -0.024350 Loss_G: 0.017271 Loss_D_real: -0.026624 Loss_D_fake -0.002274
[737/5000][55/535][75849] Loss_D: -0.024652 Loss_G: 0.010936 Loss_D_real: -0.019301 Loss_D_fake 0.005351
[737/5000][60/535][75850] Loss_D: -0.024109 Loss_G: 0.021727 Loss_D_real: -0.026605 Loss_D_fake -0.002496
[737/5000][65/535][75851] Loss_D: -0.024611 Loss_G: -0.002024 Loss_D_real: -0.019166 Loss_D_fake 0.005445
[737/5000][70/535][75852] Loss_D: -0.024055 Loss_G: -0.007159 Loss_D_real: -0.014889 Loss_D_fake 0.009167
[737/5000][75/535][75853] Loss_D: -0.025453 Loss_G: 0.003411 Loss_D_real: -0.019986 Loss_D_fake 0.005467
[737/5000][80/535][75854] Loss_D: -0.023205 Loss_G: 0.024020 Loss_D_real: -0.031246 Loss_D_fake -0.008041
[737/5000][85/535][75855] Loss_D: -0.024133 Loss_G: 0.009052 Loss_D_real: -0.019700 Loss_D_fake 0.004434
[737/5000][90/535][75856] Loss_D: -0.024338 Loss_G: 0.027828 Loss_D_real: -0.019609 Loss_D_fake 0.004729
[737/5000][95/535][75857] Loss_D: -0.024365 Loss_G: 0.005849 Loss_D_real: -0.012466 Loss_D_fake 0.011899
[737/5000][100/535][75858] Loss_D: -0.024120 Loss_G: 0.005825 Loss_D_real: -0.015985 Loss_D_fake 0.008135
[737/5000][105/535][75859] Loss_D: -0.023907 Loss_G: 0.011299 Loss_D_real: -0.022997 Loss_D_fake 0.000911
[737/5000][110/535][75860] Loss_D: -0.023579 Loss_G: 0.005610 Loss_D_real: -0.015058 Loss_D_fake 0.008522
[737/5000][115/535][75861] Loss_D: -0.023886 Loss_G: 0.024348 Loss_D_real: -0.027720 Loss_D_fake -0.003834
[737/5000][120/535][75862] Loss_D: -0.024555 Loss_G: 0.021054 Loss_D_real: -0.026468 Loss_D_fake -0.001914
[737/5000][125/535][75863] Loss_D: -0.022178 Loss_G: -0.023857 Loss_D_real: 0.006753 Loss_D_fake 0.028931
[737/5000][130/535][75864] Loss_D: -0.023373 Loss_G: 0.004400 Loss_D_real: -0.022572 Loss_D_fake 0.000802
[737/5000][135/535][75865] Loss_D: -0.023564 Loss_G: 0.002408 Loss_D_real: -0.011284 Loss_D_fake 0.012281
[737/5000][140/535][75866] Loss_D: -0.024926 Loss_G: 0.018941 Loss_D_real: -0.025227 Loss_D_fake -0.000301
[737/5000][145/535][75867] Loss_D: -0.023515 Loss_G: 0.016277 Loss_D_real: -0.023244 Loss_D_fake 0.000271
[737/5000][150/535][75868] Loss_D: -0.024979 Loss_G: 0.001518 Loss_D_real: -0.012999 Loss_D_fake 0.011980
[737/5000][155/535][75869] Loss_D: -0.022590 Loss_G: 0.026267 Loss_D_real: -0.033257 Loss_D_fake -0.010666
[737/5000][160/535][75870] Loss_D: -0.024551 Loss_G: 0.006656 Loss_D_real: -0.012269 Loss_D_fake 0.012281
[737/5000][165/535][75871] Loss_D: -0.025595 Loss_G: 0.004959 Loss_D_real: -0.013806 Loss_D_fake 0.011789
[737/5000][170/535][75872] Loss_D: -0.023312 Loss_G: 0.035402 Loss_D_real: -0.030647 Loss_D_fake -0.007335
[737/5000][175/535][75873] Loss_D: -0.023744 Loss_G: 0.015935 Loss_D_real: -0.025770 Loss_D_fake -0.002026
[737/5000][180/535][75874] Loss_D: -0.023516 Loss_G: 0.023803 Loss_D_real: -0.027009 Loss_D_fake -0.003493
[737/5000][185/535][75875] Loss_D: -0.024360 Loss_G: -0.001184 Loss_D_real: 0.001268 Loss_D_fake 0.025628
[737/5000][190/535][75876] Loss_D: -0.024829 Loss_G: 0.025407 Loss_D_real: -0.024804 Loss_D_fake 0.000026
[737/5000][195/535][75877] Loss_D: -0.024715 Loss_G: -0.019908 Loss_D_real: -0.005718 Loss_D_fake 0.018997
[737/5000][200/535][75878] Loss_D: -0.022799 Loss_G: 0.018356 Loss_D_real: -0.023028 Loss_D_fake -0.000230
[737/5000][205/535][75879] Loss_D: -0.024304 Loss_G: 0.011931 Loss_D_real: -0.016622 Loss_D_fake 0.007682
[737/5000][210/535][75880] Loss_D: -0.023930 Loss_G: 0.000086 Loss_D_real: -0.013029 Loss_D_fake 0.010901
[737/5000][215/535][75881] Loss_D: -0.023138 Loss_G: 0.008421 Loss_D_real: -0.033546 Loss_D_fake -0.010408
[737/5000][220/535][75882] Loss_D: -0.024910 Loss_G: 0.016653 Loss_D_real: -0.036033 Loss_D_fake -0.011123
[737/5000][225/535][75883] Loss_D: -0.024251 Loss_G: 0.023348 Loss_D_real: -0.025697 Loss_D_fake -0.001446
[737/5000][230/535][75884] Loss_D: -0.022612 Loss_G: -0.016590 Loss_D_real: -0.006086 Loss_D_fake 0.016526
[737/5000][235/535][75885] Loss_D: -0.023184 Loss_G: 0.008509 Loss_D_real: -0.017129 Loss_D_fake 0.006055
[737/5000][240/535][75886] Loss_D: -0.023774 Loss_G: -0.011425 Loss_D_real: -0.003537 Loss_D_fake 0.020237
[737/5000][245/535][75887] Loss_D: -0.023621 Loss_G: 0.012792 Loss_D_real: -0.023632 Loss_D_fake -0.000012
[737/5000][250/535][75888] Loss_D: -0.025318 Loss_G: 0.008786 Loss_D_real: -0.013221 Loss_D_fake 0.012097
[737/5000][255/535][75889] Loss_D: -0.022184 Loss_G: -0.023666 Loss_D_real: 0.006421 Loss_D_fake 0.028604
[737/5000][260/535][75890] Loss_D: -0.022282 Loss_G: 0.018190 Loss_D_real: -0.019477 Loss_D_fake 0.002805
[737/5000][265/535][75891] Loss_D: -0.021759 Loss_G: -0.009776 Loss_D_real: -0.002193 Loss_D_fake 0.019566
[737/5000][270/535][75892] Loss_D: -0.024101 Loss_G: 0.008508 Loss_D_real: -0.016269 Loss_D_fake 0.007832
[737/5000][275/535][75893] Loss_D: -0.024115 Loss_G: 0.004338 Loss_D_real: -0.011901 Loss_D_fake 0.012214
[737/5000][280/535][75894] Loss_D: -0.023629 Loss_G: -0.007246 Loss_D_real: -0.016272 Loss_D_fake 0.007357
[737/5000][285/535][75895] Loss_D: -0.023928 Loss_G: 0.016804 Loss_D_real: -0.027344 Loss_D_fake -0.003416
[737/5000][290/535][75896] Loss_D: -0.023818 Loss_G: -0.005430 Loss_D_real: -0.003265 Loss_D_fake 0.020553
[737/5000][295/535][75897] Loss_D: -0.023977 Loss_G: -0.011630 Loss_D_real: -0.012342 Loss_D_fake 0.011636
[737/5000][300/535][75898] Loss_D: -0.022782 Loss_G: 0.009302 Loss_D_real: -0.016603 Loss_D_fake 0.006179
[737/5000][305/535][75899] Loss_D: -0.023540 Loss_G: -0.006425 Loss_D_real: -0.009023 Loss_D_fake 0.014516
[737/5000][310/535][75900] Loss_D: -0.023293 Loss_G: -0.000415 Loss_D_real: -0.007981 Loss_D_fake 0.015312
[737/5000][315/535][75901] Loss_D: -0.023242 Loss_G: 0.019782 Loss_D_real: -0.023919 Loss_D_fake -0.000678
[737/5000][320/535][75902] Loss_D: -0.022258 Loss_G: 0.004406 Loss_D_real: -0.023345 Loss_D_fake -0.001087
[737/5000][325/535][75903] Loss_D: -0.025208 Loss_G: 0.005811 Loss_D_real: -0.010827 Loss_D_fake 0.014382
[737/5000][330/535][75904] Loss_D: -0.022167 Loss_G: 0.025067 Loss_D_real: -0.031795 Loss_D_fake -0.009628
[737/5000][335/535][75905] Loss_D: -0.023970 Loss_G: -0.001716 Loss_D_real: -0.004717 Loss_D_fake 0.019253
[737/5000][340/535][75906] Loss_D: -0.022835 Loss_G: 0.024573 Loss_D_real: -0.029951 Loss_D_fake -0.007117
[737/5000][345/535][75907] Loss_D: -0.023415 Loss_G: 0.005809 Loss_D_real: -0.025235 Loss_D_fake -0.001819
[737/5000][350/535][75908] Loss_D: -0.024882 Loss_G: 0.012326 Loss_D_real: -0.022579 Loss_D_fake 0.002303
[737/5000][355/535][75909] Loss_D: -0.024181 Loss_G: 0.017584 Loss_D_real: -0.019183 Loss_D_fake 0.004998
[737/5000][360/535][75910] Loss_D: -0.024100 Loss_G: 0.021895 Loss_D_real: -0.028232 Loss_D_fake -0.004132
[737/5000][365/535][75911] Loss_D: -0.024706 Loss_G: -0.013956 Loss_D_real: 0.005213 Loss_D_fake 0.029920
[737/5000][370/535][75912] Loss_D: -0.023684 Loss_G: 0.026878 Loss_D_real: -0.029485 Loss_D_fake -0.005801
[737/5000][375/535][75913] Loss_D: -0.024036 Loss_G: 0.025648 Loss_D_real: -0.024555 Loss_D_fake -0.000518
[737/5000][380/535][75914] Loss_D: -0.025939 Loss_G: 0.012946 Loss_D_real: -0.012057 Loss_D_fake 0.013882
[737/5000][385/535][75915] Loss_D: -0.023417 Loss_G: 0.001544 Loss_D_real: -0.015234 Loss_D_fake 0.008183
[737/5000][390/535][75916] Loss_D: -0.023916 Loss_G: -0.007527 Loss_D_real: -0.011947 Loss_D_fake 0.011969
[737/5000][395/535][75917] Loss_D: -0.023569 Loss_G: 0.016717 Loss_D_real: -0.020675 Loss_D_fake 0.002894
[737/5000][400/535][75918] Loss_D: -0.023836 Loss_G: 0.013135 Loss_D_real: -0.026248 Loss_D_fake -0.002412
[737/5000][405/535][75919] Loss_D: -0.023169 Loss_G: 0.018451 Loss_D_real: -0.028502 Loss_D_fake -0.005334
[737/5000][410/535][75920] Loss_D: -0.023998 Loss_G: 0.006472 Loss_D_real: -0.016852 Loss_D_fake 0.007146
[737/5000][415/535][75921] Loss_D: -0.023464 Loss_G: 0.004481 Loss_D_real: -0.007434 Loss_D_fake 0.016030
[737/5000][420/535][75922] Loss_D: -0.023444 Loss_G: 0.009160 Loss_D_real: -0.022892 Loss_D_fake 0.000552
[737/5000][425/535][75923] Loss_D: -0.024168 Loss_G: 0.014877 Loss_D_real: -0.012339 Loss_D_fake 0.011829
[737/5000][430/535][75924] Loss_D: -0.022815 Loss_G: -0.011143 Loss_D_real: -0.003895 Loss_D_fake 0.018920
[737/5000][435/535][75925] Loss_D: -0.023573 Loss_G: 0.019588 Loss_D_real: -0.020772 Loss_D_fake 0.002801
[737/5000][440/535][75926] Loss_D: -0.022962 Loss_G: 0.026967 Loss_D_real: -0.031849 Loss_D_fake -0.008887
[737/5000][445/535][75927] Loss_D: -0.023976 Loss_G: 0.007881 Loss_D_real: -0.012037 Loss_D_fake 0.011938
[737/5000][450/535][75928] Loss_D: -0.022433 Loss_G: 0.004943 Loss_D_real: -0.011611 Loss_D_fake 0.010822
[737/5000][455/535][75929] Loss_D: -0.024497 Loss_G: 0.020981 Loss_D_real: -0.024734 Loss_D_fake -0.000236
[737/5000][460/535][75930] Loss_D: -0.023646 Loss_G: -0.017652 Loss_D_real: -0.003999 Loss_D_fake 0.019647
[737/5000][465/535][75931] Loss_D: -0.024056 Loss_G: 0.017563 Loss_D_real: -0.025938 Loss_D_fake -0.001882
[737/5000][470/535][75932] Loss_D: -0.024279 Loss_G: 0.013656 Loss_D_real: -0.015297 Loss_D_fake 0.008981
[737/5000][475/535][75933] Loss_D: -0.024942 Loss_G: 0.009951 Loss_D_real: -0.019256 Loss_D_fake 0.005686
[737/5000][480/535][75934] Loss_D: -0.024559 Loss_G: -0.001613 Loss_D_real: -0.003886 Loss_D_fake 0.020672
[737/5000][485/535][75935] Loss_D: -0.024902 Loss_G: 0.009705 Loss_D_real: -0.017582 Loss_D_fake 0.007319
[737/5000][490/535][75936] Loss_D: -0.025081 Loss_G: -0.012448 Loss_D_real: -0.000516 Loss_D_fake 0.024565
[737/5000][495/535][75937] Loss_D: -0.024742 Loss_G: 0.016245 Loss_D_real: -0.027656 Loss_D_fake -0.002914
[737/5000][500/535][75938] Loss_D: -0.025395 Loss_G: 0.012686 Loss_D_real: -0.017014 Loss_D_fake 0.008381
[737/5000][505/535][75939] Loss_D: -0.024226 Loss_G: 0.002805 Loss_D_real: -0.007440 Loss_D_fake 0.016786
[737/5000][510/535][75940] Loss_D: -0.025140 Loss_G: 0.007826 Loss_D_real: -0.019290 Loss_D_fake 0.005850
[737/5000][515/535][75941] Loss_D: -0.025078 Loss_G: 0.017990 Loss_D_real: -0.030986 Loss_D_fake -0.005907
[737/5000][520/535][75942] Loss_D: -0.024143 Loss_G: 0.017997 Loss_D_real: -0.028433 Loss_D_fake -0.004290
[737/5000][525/535][75943] Loss_D: -0.025406 Loss_G: 0.013020 Loss_D_real: -0.015504 Loss_D_fake 0.009903
[737/5000][530/535][75944] Loss_D: -0.024384 Loss_G: 0.011584 Loss_D_real: -0.017870 Loss_D_fake 0.006514
[737/5000][535/535][75945] Loss_D: -0.026985 Loss_G: 0.037163 Loss_D_real: -0.021122 Loss_D_fake 0.005863
[738/5000][5/535][75946] Loss_D: -0.023763 Loss_G: 0.012090 Loss_D_real: -0.020184 Loss_D_fake 0.003578
[738/5000][10/535][75947] Loss_D: -0.024531 Loss_G: 0.015852 Loss_D_real: -0.023120 Loss_D_fake 0.001411
[738/5000][15/535][75948] Loss_D: -0.024595 Loss_G: 0.003319 Loss_D_real: -0.028530 Loss_D_fake -0.003935
[738/5000][20/535][75949] Loss_D: -0.025059 Loss_G: 0.012164 Loss_D_real: -0.024028 Loss_D_fake 0.001031
[738/5000][25/535][75950] Loss_D: -0.025676 Loss_G: -0.001756 Loss_D_real: -0.021516 Loss_D_fake 0.004159
[738/5000][30/535][75951] Loss_D: -0.025345 Loss_G: 0.010466 Loss_D_real: -0.008194 Loss_D_fake 0.017151
[738/5000][35/535][75952] Loss_D: -0.024124 Loss_G: 0.011976 Loss_D_real: -0.018657 Loss_D_fake 0.005467
[738/5000][40/535][75953] Loss_D: -0.023101 Loss_G: 0.031028 Loss_D_real: -0.032644 Loss_D_fake -0.009543
[738/5000][45/535][75954] Loss_D: -0.024737 Loss_G: 0.007238 Loss_D_real: -0.012464 Loss_D_fake 0.012273
[738/5000][50/535][75955] Loss_D: -0.024581 Loss_G: -0.001084 Loss_D_real: -0.014603 Loss_D_fake 0.009977
[738/5000][55/535][75956] Loss_D: -0.022945 Loss_G: -0.001146 Loss_D_real: -0.015963 Loss_D_fake 0.006982
[738/5000][60/535][75957] Loss_D: -0.025887 Loss_G: 0.007142 Loss_D_real: -0.027416 Loss_D_fake -0.001529
[738/5000][65/535][75958] Loss_D: -0.024545 Loss_G: 0.005788 Loss_D_real: -0.026923 Loss_D_fake -0.002378
[738/5000][70/535][75959] Loss_D: -0.022295 Loss_G: 0.030224 Loss_D_real: -0.023776 Loss_D_fake -0.001481
[738/5000][75/535][75960] Loss_D: -0.022754 Loss_G: 0.004042 Loss_D_real: -0.009714 Loss_D_fake 0.013040
[738/5000][80/535][75961] Loss_D: -0.024164 Loss_G: 0.017797 Loss_D_real: -0.020156 Loss_D_fake 0.004008
[738/5000][85/535][75962] Loss_D: -0.024235 Loss_G: 0.005665 Loss_D_real: -0.013529 Loss_D_fake 0.010705
[738/5000][90/535][75963] Loss_D: -0.023242 Loss_G: 0.023788 Loss_D_real: -0.034014 Loss_D_fake -0.010772
[738/5000][95/535][75964] Loss_D: -0.023704 Loss_G: 0.006412 Loss_D_real: -0.008344 Loss_D_fake 0.015360
[738/5000][100/535][75965] Loss_D: -0.022959 Loss_G: 0.013698 Loss_D_real: -0.014616 Loss_D_fake 0.008343
[738/5000][105/535][75966] Loss_D: -0.023895 Loss_G: -0.011734 Loss_D_real: -0.003704 Loss_D_fake 0.020191
[738/5000][110/535][75967] Loss_D: -0.025117 Loss_G: 0.013480 Loss_D_real: -0.027991 Loss_D_fake -0.002874
[738/5000][115/535][75968] Loss_D: -0.023488 Loss_G: 0.018417 Loss_D_real: -0.020424 Loss_D_fake 0.003064
[738/5000][120/535][75969] Loss_D: -0.023856 Loss_G: 0.002562 Loss_D_real: -0.020256 Loss_D_fake 0.003600
[738/5000][125/535][75970] Loss_D: -0.023578 Loss_G: 0.003108 Loss_D_real: 0.002157 Loss_D_fake 0.025734
[738/5000][130/535][75971] Loss_D: -0.021926 Loss_G: -0.001040 Loss_D_real: -0.020369 Loss_D_fake 0.001557
[738/5000][135/535][75972] Loss_D: -0.023427 Loss_G: 0.019933 Loss_D_real: -0.028792 Loss_D_fake -0.005364
[738/5000][140/535][75973] Loss_D: -0.023030 Loss_G: 0.019583 Loss_D_real: -0.025143 Loss_D_fake -0.002113
[738/5000][145/535][75974] Loss_D: -0.023971 Loss_G: 0.010581 Loss_D_real: -0.030795 Loss_D_fake -0.006823
[738/5000][150/535][75975] Loss_D: -0.025429 Loss_G: 0.019291 Loss_D_real: -0.024592 Loss_D_fake 0.000837
[738/5000][155/535][75976] Loss_D: -0.025344 Loss_G: 0.006619 Loss_D_real: -0.009826 Loss_D_fake 0.015518
[738/5000][160/535][75977] Loss_D: -0.026341 Loss_G: 0.022742 Loss_D_real: -0.027727 Loss_D_fake -0.001386
[738/5000][165/535][75978] Loss_D: -0.023944 Loss_G: -0.013626 Loss_D_real: 0.004043 Loss_D_fake 0.027987
[738/5000][170/535][75979] Loss_D: -0.022666 Loss_G: -0.001232 Loss_D_real: -0.008717 Loss_D_fake 0.013950
[738/5000][175/535][75980] Loss_D: -0.023936 Loss_G: 0.019045 Loss_D_real: -0.018944 Loss_D_fake 0.004992
[738/5000][180/535][75981] Loss_D: -0.023796 Loss_G: 0.031403 Loss_D_real: -0.031821 Loss_D_fake -0.008025
[738/5000][185/535][75982] Loss_D: -0.023424 Loss_G: 0.021868 Loss_D_real: -0.024955 Loss_D_fake -0.001531
[738/5000][190/535][75983] Loss_D: -0.024967 Loss_G: -0.011683 Loss_D_real: -0.009476 Loss_D_fake 0.015491
[738/5000][195/535][75984] Loss_D: -0.023598 Loss_G: 0.018557 Loss_D_real: -0.026884 Loss_D_fake -0.003286
[738/5000][200/535][75985] Loss_D: -0.025322 Loss_G: 0.011091 Loss_D_real: -0.019589 Loss_D_fake 0.005734
[738/5000][205/535][75986] Loss_D: -0.022009 Loss_G: 0.030125 Loss_D_real: -0.029977 Loss_D_fake -0.007968
[738/5000][210/535][75987] Loss_D: -0.024254 Loss_G: 0.011201 Loss_D_real: -0.022397 Loss_D_fake 0.001857
[738/5000][215/535][75988] Loss_D: -0.024887 Loss_G: 0.019109 Loss_D_real: -0.027544 Loss_D_fake -0.002657
[738/5000][220/535][75989] Loss_D: -0.022630 Loss_G: -0.023938 Loss_D_real: 0.003620 Loss_D_fake 0.026251
[738/5000][225/535][75990] Loss_D: -0.022928 Loss_G: 0.012519 Loss_D_real: -0.025947 Loss_D_fake -0.003019
[738/5000][230/535][75991] Loss_D: -0.023359 Loss_G: 0.018974 Loss_D_real: -0.029489 Loss_D_fake -0.006130
[738/5000][235/535][75992] Loss_D: -0.024239 Loss_G: 0.010785 Loss_D_real: -0.022964 Loss_D_fake 0.001275
[738/5000][240/535][75993] Loss_D: -0.023426 Loss_G: -0.013922 Loss_D_real: -0.005350 Loss_D_fake 0.018076
[738/5000][245/535][75994] Loss_D: -0.023329 Loss_G: 0.017265 Loss_D_real: -0.021272 Loss_D_fake 0.002058
[738/5000][250/535][75995] Loss_D: -0.022614 Loss_G: 0.011568 Loss_D_real: -0.024289 Loss_D_fake -0.001675
[738/5000][255/535][75996] Loss_D: -0.023784 Loss_G: 0.010789 Loss_D_real: -0.016155 Loss_D_fake 0.007629
[738/5000][260/535][75997] Loss_D: -0.024511 Loss_G: 0.009657 Loss_D_real: -0.013370 Loss_D_fake 0.011141
[738/5000][265/535][75998] Loss_D: -0.023659 Loss_G: 0.008821 Loss_D_real: -0.025312 Loss_D_fake -0.001654
[738/5000][270/535][75999] Loss_D: -0.023864 Loss_G: 0.010209 Loss_D_real: -0.011337 Loss_D_fake 0.012528
[738/5000][275/535][76000] Loss_D: -0.024578 Loss_G: 0.022525 Loss_D_real: -0.028843 Loss_D_fake -0.004265
[738/5000][375/535][76001] Loss_D: -0.024662 Loss_G: -0.008266 Loss_D_real: -0.000538 Loss_D_fake 0.024125
[738/5000][380/535][76002] Loss_D: -0.025384 Loss_G: 0.009670 Loss_D_real: -0.011823 Loss_D_fake 0.013562
[738/5000][385/535][76003] Loss_D: -0.023640 Loss_G: 0.016299 Loss_D_real: -0.019333 Loss_D_fake 0.004307
[738/5000][390/535][76004] Loss_D: -0.023740 Loss_G: 0.010962 Loss_D_real: -0.017523 Loss_D_fake 0.006218
[738/5000][395/535][76005] Loss_D: -0.023675 Loss_G: 0.005851 Loss_D_real: -0.015999 Loss_D_fake 0.007676
[738/5000][400/535][76006] Loss_D: -0.023488 Loss_G: 0.015786 Loss_D_real: -0.026833 Loss_D_fake -0.003345
[738/5000][405/535][76007] Loss_D: -0.023174 Loss_G: 0.002477 Loss_D_real: -0.019939 Loss_D_fake 0.003235
[738/5000][410/535][76008] Loss_D: -0.022532 Loss_G: 0.024529 Loss_D_real: -0.028206 Loss_D_fake -0.005674
[738/5000][415/535][76009] Loss_D: -0.024512 Loss_G: 0.006837 Loss_D_real: -0.013886 Loss_D_fake 0.010626
[738/5000][420/535][76010] Loss_D: -0.023318 Loss_G: -0.009615 Loss_D_real: -0.006287 Loss_D_fake 0.017032
[738/5000][425/535][76011] Loss_D: -0.022878 Loss_G: 0.025241 Loss_D_real: -0.028949 Loss_D_fake -0.006071
[738/5000][430/535][76012] Loss_D: -0.023922 Loss_G: -0.009932 Loss_D_real: -0.004250 Loss_D_fake 0.019673
[738/5000][435/535][76013] Loss_D: -0.022779 Loss_G: -0.011119 Loss_D_real: -0.010120 Loss_D_fake 0.012659
[738/5000][440/535][76014] Loss_D: -0.023278 Loss_G: 0.017968 Loss_D_real: -0.025444 Loss_D_fake -0.002166
[738/5000][445/535][76015] Loss_D: -0.024165 Loss_G: -0.003717 Loss_D_real: -0.020871 Loss_D_fake 0.003294
[738/5000][450/535][76016] Loss_D: -0.022952 Loss_G: 0.015334 Loss_D_real: -0.026817 Loss_D_fake -0.003865
[738/5000][455/535][76017] Loss_D: -0.023845 Loss_G: -0.014543 Loss_D_real: -0.006401 Loss_D_fake 0.017443
[738/5000][460/535][76018] Loss_D: -0.023682 Loss_G: 0.011658 Loss_D_real: -0.013143 Loss_D_fake 0.010539
[738/5000][465/535][76019] Loss_D: -0.024488 Loss_G: 0.020709 Loss_D_real: -0.026994 Loss_D_fake -0.002506
[738/5000][470/535][76020] Loss_D: -0.023436 Loss_G: 0.028392 Loss_D_real: -0.033308 Loss_D_fake -0.009872
[738/5000][475/535][76021] Loss_D: -0.021592 Loss_G: 0.021670 Loss_D_real: -0.028428 Loss_D_fake -0.006836
[738/5000][480/535][76022] Loss_D: -0.024175 Loss_G: 0.009327 Loss_D_real: -0.014570 Loss_D_fake 0.009605
[738/5000][485/535][76023] Loss_D: -0.024878 Loss_G: 0.023639 Loss_D_real: -0.029149 Loss_D_fake -0.004271
[738/5000][490/535][76024] Loss_D: -0.024591 Loss_G: -0.008852 Loss_D_real: -0.014194 Loss_D_fake 0.010397
[738/5000][495/535][76025] Loss_D: -0.024122 Loss_G: 0.005139 Loss_D_real: -0.013012 Loss_D_fake 0.011110
[738/5000][500/535][76026] Loss_D: -0.021328 Loss_G: 0.037101 Loss_D_real: -0.041146 Loss_D_fake -0.019818
[738/5000][505/535][76027] Loss_D: -0.023379 Loss_G: 0.005513 Loss_D_real: -0.017407 Loss_D_fake 0.005972
[738/5000][510/535][76028] Loss_D: -0.025015 Loss_G: 0.004587 Loss_D_real: -0.015703 Loss_D_fake 0.009311
[738/5000][515/535][76029] Loss_D: -0.023624 Loss_G: 0.011429 Loss_D_real: -0.022218 Loss_D_fake 0.001407
[738/5000][520/535][76030] Loss_D: -0.024133 Loss_G: 0.008546 Loss_D_real: -0.027902 Loss_D_fake -0.003769
[738/5000][525/535][76031] Loss_D: -0.022706 Loss_G: 0.019192 Loss_D_real: -0.025976 Loss_D_fake -0.003270
[738/5000][530/535][76032] Loss_D: -0.023805 Loss_G: 0.023288 Loss_D_real: -0.036760 Loss_D_fake -0.012955
[738/5000][535/535][76033] Loss_D: -0.023169 Loss_G: -0.015698 Loss_D_real: -0.018034 Loss_D_fake 0.005135
[739/5000][5/535][76034] Loss_D: -0.023892 Loss_G: 0.018295 Loss_D_real: -0.026347 Loss_D_fake -0.002455
[739/5000][10/535][76035] Loss_D: -0.024323 Loss_G: 0.008655 Loss_D_real: -0.010425 Loss_D_fake 0.013898
[739/5000][15/535][76036] Loss_D: -0.023178 Loss_G: 0.034763 Loss_D_real: -0.029303 Loss_D_fake -0.006125
[739/5000][20/535][76037] Loss_D: -0.023738 Loss_G: 0.010756 Loss_D_real: -0.011921 Loss_D_fake 0.011817
[739/5000][25/535][76038] Loss_D: -0.023697 Loss_G: 0.013052 Loss_D_real: -0.017567 Loss_D_fake 0.006130
[739/5000][30/535][76039] Loss_D: -0.024132 Loss_G: 0.004913 Loss_D_real: -0.007390 Loss_D_fake 0.016742
[739/5000][35/535][76040] Loss_D: -0.024848 Loss_G: 0.018918 Loss_D_real: -0.025574 Loss_D_fake -0.000726
[739/5000][40/535][76041] Loss_D: -0.024158 Loss_G: 0.005667 Loss_D_real: -0.018410 Loss_D_fake 0.005748
[739/5000][45/535][76042] Loss_D: -0.024528 Loss_G: 0.021382 Loss_D_real: -0.038963 Loss_D_fake -0.014435
[739/5000][50/535][76043] Loss_D: -0.023380 Loss_G: -0.019436 Loss_D_real: 0.000374 Loss_D_fake 0.023754
[739/5000][55/535][76044] Loss_D: -0.025023 Loss_G: 0.014472 Loss_D_real: -0.023247 Loss_D_fake 0.001776
[739/5000][60/535][76045] Loss_D: -0.025119 Loss_G: 0.006573 Loss_D_real: -0.019478 Loss_D_fake 0.005641
[739/5000][65/535][76046] Loss_D: -0.025716 Loss_G: 0.004679 Loss_D_real: -0.016623 Loss_D_fake 0.009093
[739/5000][70/535][76047] Loss_D: -0.023496 Loss_G: -0.003587 Loss_D_real: -0.005789 Loss_D_fake 0.017707
[739/5000][75/535][76048] Loss_D: -0.023795 Loss_G: 0.023159 Loss_D_real: -0.028474 Loss_D_fake -0.004680
[739/5000][80/535][76049] Loss_D: -0.024994 Loss_G: 0.014019 Loss_D_real: -0.018390 Loss_D_fake 0.006604
[739/5000][85/535][76050] Loss_D: -0.026404 Loss_G: 0.013761 Loss_D_real: -0.021903 Loss_D_fake 0.004502
[739/5000][90/535][76051] Loss_D: -0.024591 Loss_G: 0.023416 Loss_D_real: -0.023183 Loss_D_fake 0.001408
[739/5000][95/535][76052] Loss_D: -0.022655 Loss_G: -0.011268 Loss_D_real: -0.006036 Loss_D_fake 0.016619
[739/5000][100/535][76053] Loss_D: -0.023522 Loss_G: 0.006925 Loss_D_real: -0.016737 Loss_D_fake 0.006785
[739/5000][105/535][76054] Loss_D: -0.026055 Loss_G: 0.003659 Loss_D_real: -0.007349 Loss_D_fake 0.018706
[739/5000][110/535][76055] Loss_D: -0.023482 Loss_G: 0.016697 Loss_D_real: -0.022662 Loss_D_fake 0.000820
[739/5000][115/535][76056] Loss_D: -0.023802 Loss_G: -0.011600 Loss_D_real: 0.000948 Loss_D_fake 0.024751
[739/5000][120/535][76057] Loss_D: -0.024212 Loss_G: 0.025254 Loss_D_real: -0.032347 Loss_D_fake -0.008135
[739/5000][125/535][76058] Loss_D: -0.024726 Loss_G: 0.003677 Loss_D_real: -0.023178 Loss_D_fake 0.001549
[739/5000][130/535][76059] Loss_D: -0.024171 Loss_G: -0.002877 Loss_D_real: -0.011086 Loss_D_fake 0.013085
[739/5000][135/535][76060] Loss_D: -0.025412 Loss_G: -0.005458 Loss_D_real: -0.014356 Loss_D_fake 0.011056
[739/5000][140/535][76061] Loss_D: -0.025643 Loss_G: 0.017030 Loss_D_real: -0.019044 Loss_D_fake 0.006599
[739/5000][145/535][76062] Loss_D: -0.024768 Loss_G: 0.007140 Loss_D_real: -0.015265 Loss_D_fake 0.009503
[739/5000][150/535][76063] Loss_D: -0.024361 Loss_G: 0.006247 Loss_D_real: -0.019838 Loss_D_fake 0.004523
[739/5000][155/535][76064] Loss_D: -0.023348 Loss_G: 0.028472 Loss_D_real: -0.039873 Loss_D_fake -0.016525
[739/5000][160/535][76065] Loss_D: -0.023299 Loss_G: -0.009148 Loss_D_real: 0.004085 Loss_D_fake 0.027384
[739/5000][165/535][76066] Loss_D: -0.024460 Loss_G: 0.006203 Loss_D_real: -0.021803 Loss_D_fake 0.002657
[739/5000][170/535][76067] Loss_D: -0.023094 Loss_G: -0.010126 Loss_D_real: -0.000259 Loss_D_fake 0.022835
[739/5000][175/535][76068] Loss_D: -0.024241 Loss_G: 0.027337 Loss_D_real: -0.027835 Loss_D_fake -0.003594
[739/5000][180/535][76069] Loss_D: -0.024357 Loss_G: 0.005228 Loss_D_real: -0.016495 Loss_D_fake 0.007862
[739/5000][185/535][76070] Loss_D: -0.024042 Loss_G: 0.013326 Loss_D_real: -0.014482 Loss_D_fake 0.009560
[739/5000][190/535][76071] Loss_D: -0.023648 Loss_G: 0.017572 Loss_D_real: -0.019147 Loss_D_fake 0.004501
[739/5000][195/535][76072] Loss_D: -0.023967 Loss_G: 0.007969 Loss_D_real: -0.012581 Loss_D_fake 0.011386
[739/5000][200/535][76073] Loss_D: -0.023189 Loss_G: 0.014089 Loss_D_real: -0.019613 Loss_D_fake 0.003576
[739/5000][205/535][76074] Loss_D: -0.025239 Loss_G: 0.001787 Loss_D_real: -0.009157 Loss_D_fake 0.016081
[739/5000][210/535][76075] Loss_D: -0.022321 Loss_G: -0.016454 Loss_D_real: 0.004444 Loss_D_fake 0.026765
[739/5000][215/535][76076] Loss_D: -0.025109 Loss_G: 0.010898 Loss_D_real: -0.025849 Loss_D_fake -0.000739
[739/5000][220/535][76077] Loss_D: -0.024988 Loss_G: 0.007432 Loss_D_real: -0.009338 Loss_D_fake 0.015649
[739/5000][225/535][76078] Loss_D: -0.024679 Loss_G: 0.008891 Loss_D_real: -0.016407 Loss_D_fake 0.008272
[739/5000][230/535][76079] Loss_D: -0.023836 Loss_G: 0.011597 Loss_D_real: -0.025582 Loss_D_fake -0.001745
[739/5000][235/535][76080] Loss_D: -0.024011 Loss_G: 0.019420 Loss_D_real: -0.025044 Loss_D_fake -0.001032
[739/5000][240/535][76081] Loss_D: -0.024641 Loss_G: 0.016926 Loss_D_real: -0.026134 Loss_D_fake -0.001493
[739/5000][245/535][76082] Loss_D: -0.023816 Loss_G: -0.003852 Loss_D_real: -0.017705 Loss_D_fake 0.006111
[739/5000][250/535][76083] Loss_D: -0.024203 Loss_G: 0.025951 Loss_D_real: -0.019481 Loss_D_fake 0.004722
[739/5000][255/535][76084] Loss_D: -0.023866 Loss_G: -0.002048 Loss_D_real: -0.017370 Loss_D_fake 0.006496
[739/5000][260/535][76085] Loss_D: -0.023068 Loss_G: 0.014997 Loss_D_real: -0.011846 Loss_D_fake 0.011222
[739/5000][265/535][76086] Loss_D: -0.023480 Loss_G: -0.009501 Loss_D_real: -0.008569 Loss_D_fake 0.014911
[739/5000][270/535][76087] Loss_D: -0.023332 Loss_G: 0.013604 Loss_D_real: -0.024404 Loss_D_fake -0.001073
[739/5000][275/535][76088] Loss_D: -0.023509 Loss_G: 0.014726 Loss_D_real: -0.017972 Loss_D_fake 0.005537
[739/5000][280/535][76089] Loss_D: -0.024716 Loss_G: 0.024357 Loss_D_real: -0.024456 Loss_D_fake 0.000260
[739/5000][285/535][76090] Loss_D: -0.024558 Loss_G: 0.000912 Loss_D_real: -0.018580 Loss_D_fake 0.005978
[739/5000][290/535][76091] Loss_D: -0.023072 Loss_G: 0.014373 Loss_D_real: -0.012056 Loss_D_fake 0.011016
[739/5000][295/535][76092] Loss_D: -0.023769 Loss_G: 0.014731 Loss_D_real: -0.027894 Loss_D_fake -0.004125
[739/5000][300/535][76093] Loss_D: -0.024668 Loss_G: 0.013223 Loss_D_real: -0.012768 Loss_D_fake 0.011900
[739/5000][305/535][76094] Loss_D: -0.023557 Loss_G: 0.015483 Loss_D_real: -0.023515 Loss_D_fake 0.000042
[739/5000][310/535][76095] Loss_D: -0.023602 Loss_G: 0.022761 Loss_D_real: -0.039456 Loss_D_fake -0.015854
[739/5000][315/535][76096] Loss_D: -0.024437 Loss_G: 0.013233 Loss_D_real: -0.022535 Loss_D_fake 0.001902
[739/5000][320/535][76097] Loss_D: -0.024001 Loss_G: -0.005766 Loss_D_real: -0.000536 Loss_D_fake 0.023465
[739/5000][325/535][76098] Loss_D: -0.024252 Loss_G: -0.005720 Loss_D_real: -0.008029 Loss_D_fake 0.016223
[739/5000][330/535][76099] Loss_D: -0.023900 Loss_G: 0.021863 Loss_D_real: -0.020226 Loss_D_fake 0.003674
[739/5000][335/535][76100] Loss_D: -0.024831 Loss_G: 0.018824 Loss_D_real: -0.025442 Loss_D_fake -0.000611
[739/5000][340/535][76101] Loss_D: -0.023409 Loss_G: -0.000391 Loss_D_real: -0.017527 Loss_D_fake 0.005882
[739/5000][345/535][76102] Loss_D: -0.024703 Loss_G: 0.009558 Loss_D_real: -0.022474 Loss_D_fake 0.002229
[739/5000][350/535][76103] Loss_D: -0.024348 Loss_G: 0.004999 Loss_D_real: -0.012420 Loss_D_fake 0.011927
[739/5000][355/535][76104] Loss_D: -0.024531 Loss_G: 0.020130 Loss_D_real: -0.026526 Loss_D_fake -0.001995
[739/5000][360/535][76105] Loss_D: -0.024749 Loss_G: 0.001115 Loss_D_real: -0.006311 Loss_D_fake 0.018438
[739/5000][365/535][76106] Loss_D: -0.022333 Loss_G: -0.023821 Loss_D_real: 0.001905 Loss_D_fake 0.024239
[739/5000][370/535][76107] Loss_D: -0.023241 Loss_G: 0.011317 Loss_D_real: -0.022759 Loss_D_fake 0.000483
[739/5000][375/535][76108] Loss_D: -0.022880 Loss_G: -0.009516 Loss_D_real: -0.007827 Loss_D_fake 0.015053
[739/5000][380/535][76109] Loss_D: -0.025023 Loss_G: 0.010781 Loss_D_real: -0.015923 Loss_D_fake 0.009100
[739/5000][385/535][76110] Loss_D: -0.024352 Loss_G: 0.011721 Loss_D_real: -0.027215 Loss_D_fake -0.002864
[739/5000][390/535][76111] Loss_D: -0.023647 Loss_G: 0.024008 Loss_D_real: -0.028143 Loss_D_fake -0.004496
[739/5000][395/535][76112] Loss_D: -0.023995 Loss_G: 0.009372 Loss_D_real: -0.014827 Loss_D_fake 0.009169
[739/5000][400/535][76113] Loss_D: -0.024826 Loss_G: 0.013136 Loss_D_real: -0.018799 Loss_D_fake 0.006027
[739/5000][405/535][76114] Loss_D: -0.024105 Loss_G: 0.019778 Loss_D_real: -0.016384 Loss_D_fake 0.007721
[739/5000][410/535][76115] Loss_D: -0.024853 Loss_G: 0.017362 Loss_D_real: -0.017499 Loss_D_fake 0.007354
[739/5000][415/535][76116] Loss_D: -0.023963 Loss_G: 0.014131 Loss_D_real: -0.023508 Loss_D_fake 0.000455
[739/5000][420/535][76117] Loss_D: -0.023774 Loss_G: 0.005870 Loss_D_real: -0.031369 Loss_D_fake -0.007595
[739/5000][425/535][76118] Loss_D: -0.024467 Loss_G: 0.017899 Loss_D_real: -0.025299 Loss_D_fake -0.000832
[739/5000][430/535][76119] Loss_D: -0.022965 Loss_G: -0.009371 Loss_D_real: 0.000552 Loss_D_fake 0.023517
[739/5000][435/535][76120] Loss_D: -0.024137 Loss_G: 0.003955 Loss_D_real: -0.012975 Loss_D_fake 0.011162
[739/5000][440/535][76121] Loss_D: -0.024856 Loss_G: 0.000400 Loss_D_real: -0.017920 Loss_D_fake 0.006935
[739/5000][445/535][76122] Loss_D: -0.022739 Loss_G: 0.021002 Loss_D_real: -0.032483 Loss_D_fake -0.009744
[739/5000][450/535][76123] Loss_D: -0.022420 Loss_G: 0.014915 Loss_D_real: -0.014857 Loss_D_fake 0.007563
[739/5000][455/535][76124] Loss_D: -0.024908 Loss_G: 0.005066 Loss_D_real: -0.008945 Loss_D_fake 0.015963
[739/5000][460/535][76125] Loss_D: -0.022163 Loss_G: 0.026890 Loss_D_real: -0.027374 Loss_D_fake -0.005211
[739/5000][465/535][76126] Loss_D: -0.022783 Loss_G: -0.003691 Loss_D_real: -0.008516 Loss_D_fake 0.014267
[739/5000][470/535][76127] Loss_D: -0.023300 Loss_G: 0.010378 Loss_D_real: -0.008934 Loss_D_fake 0.014366
[739/5000][475/535][76128] Loss_D: -0.024278 Loss_G: 0.010666 Loss_D_real: -0.023094 Loss_D_fake 0.001184
[739/5000][480/535][76129] Loss_D: -0.025135 Loss_G: 0.014812 Loss_D_real: -0.020976 Loss_D_fake 0.004159
[739/5000][485/535][76130] Loss_D: -0.025101 Loss_G: 0.011911 Loss_D_real: -0.014439 Loss_D_fake 0.010662
[739/5000][490/535][76131] Loss_D: -0.023488 Loss_G: -0.013869 Loss_D_real: 0.001587 Loss_D_fake 0.025076
[739/5000][495/535][76132] Loss_D: -0.023532 Loss_G: 0.022036 Loss_D_real: -0.028103 Loss_D_fake -0.004571
[739/5000][500/535][76133] Loss_D: -0.022915 Loss_G: 0.002400 Loss_D_real: -0.019058 Loss_D_fake 0.003857
[739/5000][505/535][76134] Loss_D: -0.024242 Loss_G: 0.007587 Loss_D_real: -0.013539 Loss_D_fake 0.010703
[739/5000][510/535][76135] Loss_D: -0.024142 Loss_G: 0.017505 Loss_D_real: -0.023996 Loss_D_fake 0.000146
[739/5000][515/535][76136] Loss_D: -0.023547 Loss_G: 0.016105 Loss_D_real: -0.019674 Loss_D_fake 0.003873
[739/5000][520/535][76137] Loss_D: -0.023588 Loss_G: -0.005602 Loss_D_real: -0.010158 Loss_D_fake 0.013431
[739/5000][525/535][76138] Loss_D: -0.023617 Loss_G: 0.016754 Loss_D_real: -0.027216 Loss_D_fake -0.003599
[739/5000][530/535][76139] Loss_D: -0.023102 Loss_G: 0.015007 Loss_D_real: -0.029341 Loss_D_fake -0.006239
[739/5000][535/535][76140] Loss_D: -0.024043 Loss_G: 0.029894 Loss_D_real: -0.009190 Loss_D_fake 0.014853
[740/5000][5/535][76141] Loss_D: -0.024143 Loss_G: 0.018104 Loss_D_real: -0.029148 Loss_D_fake -0.005005
[740/5000][10/535][76142] Loss_D: -0.024554 Loss_G: -0.012064 Loss_D_real: 0.000056 Loss_D_fake 0.024610
[740/5000][15/535][76143] Loss_D: -0.023128 Loss_G: 0.023649 Loss_D_real: -0.026094 Loss_D_fake -0.002967
[740/5000][20/535][76144] Loss_D: -0.024709 Loss_G: 0.012619 Loss_D_real: -0.023486 Loss_D_fake 0.001223
[740/5000][25/535][76145] Loss_D: -0.025130 Loss_G: 0.006537 Loss_D_real: -0.025060 Loss_D_fake 0.000069
[740/5000][30/535][76146] Loss_D: -0.023354 Loss_G: 0.018580 Loss_D_real: -0.029936 Loss_D_fake -0.006582
[740/5000][35/535][76147] Loss_D: -0.024126 Loss_G: 0.015178 Loss_D_real: -0.029158 Loss_D_fake -0.005032
[740/5000][40/535][76148] Loss_D: -0.023841 Loss_G: 0.014030 Loss_D_real: -0.018407 Loss_D_fake 0.005434
[740/5000][45/535][76149] Loss_D: -0.022764 Loss_G: 0.004413 Loss_D_real: -0.005680 Loss_D_fake 0.017084
[740/5000][50/535][76150] Loss_D: -0.024037 Loss_G: 0.007212 Loss_D_real: -0.013531 Loss_D_fake 0.010507
[740/5000][55/535][76151] Loss_D: -0.023263 Loss_G: -0.000598 Loss_D_real: -0.015914 Loss_D_fake 0.007348
[740/5000][60/535][76152] Loss_D: -0.023276 Loss_G: 0.030616 Loss_D_real: -0.036246 Loss_D_fake -0.012970
[740/5000][65/535][76153] Loss_D: -0.023547 Loss_G: -0.016107 Loss_D_real: 0.000185 Loss_D_fake 0.023732
[740/5000][70/535][76154] Loss_D: -0.022468 Loss_G: 0.001211 Loss_D_real: -0.014767 Loss_D_fake 0.007701
[740/5000][75/535][76155] Loss_D: -0.024066 Loss_G: 0.000253 Loss_D_real: -0.016442 Loss_D_fake 0.007624
[740/5000][80/535][76156] Loss_D: -0.023950 Loss_G: 0.014433 Loss_D_real: -0.024193 Loss_D_fake -0.000243
[740/5000][85/535][76157] Loss_D: -0.022883 Loss_G: 0.021121 Loss_D_real: -0.033116 Loss_D_fake -0.010233
[740/5000][90/535][76158] Loss_D: -0.023542 Loss_G: -0.004146 Loss_D_real: -0.005987 Loss_D_fake 0.017554
[740/5000][95/535][76159] Loss_D: -0.022484 Loss_G: 0.013421 Loss_D_real: -0.025792 Loss_D_fake -0.003308
[740/5000][100/535][76160] Loss_D: -0.024162 Loss_G: 0.023750 Loss_D_real: -0.021583 Loss_D_fake 0.002579
[740/5000][105/535][76161] Loss_D: -0.024108 Loss_G: 0.018596 Loss_D_real: -0.029885 Loss_D_fake -0.005777
[740/5000][110/535][76162] Loss_D: -0.024622 Loss_G: 0.007562 Loss_D_real: -0.020508 Loss_D_fake 0.004114
[740/5000][115/535][76163] Loss_D: -0.025138 Loss_G: 0.003847 Loss_D_real: -0.022769 Loss_D_fake 0.002369
[740/5000][120/535][76164] Loss_D: -0.023943 Loss_G: 0.013171 Loss_D_real: -0.028067 Loss_D_fake -0.004125
[740/5000][125/535][76165] Loss_D: -0.023396 Loss_G: 0.033212 Loss_D_real: -0.041259 Loss_D_fake -0.017863
[740/5000][130/535][76166] Loss_D: -0.025280 Loss_G: 0.005973 Loss_D_real: -0.016021 Loss_D_fake 0.009259
[740/5000][135/535][76167] Loss_D: -0.024298 Loss_G: 0.002649 Loss_D_real: -0.011813 Loss_D_fake 0.012485
[740/5000][140/535][76168] Loss_D: -0.024724 Loss_G: 0.018925 Loss_D_real: -0.016579 Loss_D_fake 0.008145
[740/5000][145/535][76169] Loss_D: -0.024796 Loss_G: -0.007238 Loss_D_real: -0.006935 Loss_D_fake 0.017861
[740/5000][150/535][76170] Loss_D: -0.024152 Loss_G: -0.005695 Loss_D_real: -0.018042 Loss_D_fake 0.006110
[740/5000][155/535][76171] Loss_D: -0.023606 Loss_G: 0.014447 Loss_D_real: -0.032265 Loss_D_fake -0.008659
[740/5000][160/535][76172] Loss_D: -0.024368 Loss_G: 0.009804 Loss_D_real: -0.022974 Loss_D_fake 0.001394
[740/5000][165/535][76173] Loss_D: -0.026190 Loss_G: 0.002125 Loss_D_real: -0.013328 Loss_D_fake 0.012863
[740/5000][170/535][76174] Loss_D: -0.024686 Loss_G: 0.017986 Loss_D_real: -0.023146 Loss_D_fake 0.001540
[740/5000][175/535][76175] Loss_D: -0.025189 Loss_G: -0.007460 Loss_D_real: -0.011424 Loss_D_fake 0.013766
[740/5000][180/535][76176] Loss_D: -0.024778 Loss_G: 0.009914 Loss_D_real: -0.020576 Loss_D_fake 0.004201
[740/5000][185/535][76177] Loss_D: -0.024330 Loss_G: -0.001873 Loss_D_real: -0.007480 Loss_D_fake 0.016850
[740/5000][190/535][76178] Loss_D: -0.024617 Loss_G: 0.002400 Loss_D_real: -0.004182 Loss_D_fake 0.020435
[740/5000][195/535][76179] Loss_D: -0.023227 Loss_G: -0.006659 Loss_D_real: -0.006513 Loss_D_fake 0.016713
[740/5000][200/535][76180] Loss_D: -0.023010 Loss_G: -0.000215 Loss_D_real: -0.020572 Loss_D_fake 0.002438
[740/5000][205/535][76181] Loss_D: -0.022489 Loss_G: -0.007573 Loss_D_real: -0.009100 Loss_D_fake 0.013390
[740/5000][210/535][76182] Loss_D: -0.022282 Loss_G: 0.012342 Loss_D_real: -0.036601 Loss_D_fake -0.014319
[740/5000][215/535][76183] Loss_D: -0.023334 Loss_G: 0.023827 Loss_D_real: -0.019923 Loss_D_fake 0.003410
[740/5000][220/535][76184] Loss_D: -0.023332 Loss_G: -0.009649 Loss_D_real: -0.002592 Loss_D_fake 0.020740
[740/5000][225/535][76185] Loss_D: -0.024235 Loss_G: -0.010749 Loss_D_real: -0.010686 Loss_D_fake 0.013548
[740/5000][230/535][76186] Loss_D: -0.023451 Loss_G: 0.024880 Loss_D_real: -0.033779 Loss_D_fake -0.010328
[740/5000][235/535][76187] Loss_D: -0.023716 Loss_G: 0.003331 Loss_D_real: -0.011907 Loss_D_fake 0.011808
[740/5000][240/535][76188] Loss_D: -0.023201 Loss_G: 0.019549 Loss_D_real: -0.019015 Loss_D_fake 0.004186
[740/5000][245/535][76189] Loss_D: -0.023238 Loss_G: 0.007663 Loss_D_real: -0.022124 Loss_D_fake 0.001114
[740/5000][250/535][76190] Loss_D: -0.024262 Loss_G: -0.008801 Loss_D_real: -0.011424 Loss_D_fake 0.012838
[740/5000][255/535][76191] Loss_D: -0.022360 Loss_G: -0.002940 Loss_D_real: -0.011186 Loss_D_fake 0.011174
[740/5000][260/535][76192] Loss_D: -0.024297 Loss_G: 0.030318 Loss_D_real: -0.027377 Loss_D_fake -0.003081
[740/5000][265/535][76193] Loss_D: -0.024639 Loss_G: 0.001724 Loss_D_real: -0.017105 Loss_D_fake 0.007534
[740/5000][270/535][76194] Loss_D: -0.025367 Loss_G: -0.006439 Loss_D_real: -0.016355 Loss_D_fake 0.009012
[740/5000][275/535][76195] Loss_D: -0.025237 Loss_G: 0.006856 Loss_D_real: -0.014893 Loss_D_fake 0.010345
[740/5000][280/535][76196] Loss_D: -0.025842 Loss_G: 0.006838 Loss_D_real: -0.013940 Loss_D_fake 0.011902
[740/5000][285/535][76197] Loss_D: -0.024453 Loss_G: 0.019887 Loss_D_real: -0.027431 Loss_D_fake -0.002978
[740/5000][290/535][76198] Loss_D: -0.023328 Loss_G: -0.002363 Loss_D_real: -0.017445 Loss_D_fake 0.005883
[740/5000][295/535][76199] Loss_D: -0.024518 Loss_G: 0.006548 Loss_D_real: -0.011935 Loss_D_fake 0.012583
[740/5000][300/535][76200] Loss_D: -0.024287 Loss_G: 0.011553 Loss_D_real: -0.024595 Loss_D_fake -0.000308
[740/5000][305/535][76201] Loss_D: -0.023906 Loss_G: -0.008471 Loss_D_real: -0.006407 Loss_D_fake 0.017499
[740/5000][310/535][76202] Loss_D: -0.023498 Loss_G: 0.005915 Loss_D_real: -0.022823 Loss_D_fake 0.000675
[740/5000][315/535][76203] Loss_D: -0.023675 Loss_G: 0.014986 Loss_D_real: -0.026158 Loss_D_fake -0.002482
[740/5000][320/535][76204] Loss_D: -0.024167 Loss_G: 0.020987 Loss_D_real: -0.025773 Loss_D_fake -0.001606
[740/5000][325/535][76205] Loss_D: -0.023981 Loss_G: 0.021169 Loss_D_real: -0.026457 Loss_D_fake -0.002476
[740/5000][330/535][76206] Loss_D: -0.023275 Loss_G: 0.009524 Loss_D_real: -0.034488 Loss_D_fake -0.011213
[740/5000][335/535][76207] Loss_D: -0.024959 Loss_G: 0.002955 Loss_D_real: -0.016938 Loss_D_fake 0.008021
[740/5000][340/535][76208] Loss_D: -0.024310 Loss_G: -0.005055 Loss_D_real: 0.000024 Loss_D_fake 0.024335
[740/5000][345/535][76209] Loss_D: -0.024095 Loss_G: 0.009023 Loss_D_real: -0.017509 Loss_D_fake 0.006586
[740/5000][350/535][76210] Loss_D: -0.023825 Loss_G: 0.027898 Loss_D_real: -0.025513 Loss_D_fake -0.001688
[740/5000][355/535][76211] Loss_D: -0.023905 Loss_G: 0.000808 Loss_D_real: -0.012784 Loss_D_fake 0.011121
[740/5000][360/535][76212] Loss_D: -0.024240 Loss_G: 0.003653 Loss_D_real: -0.014745 Loss_D_fake 0.009495
[740/5000][365/535][76213] Loss_D: -0.025713 Loss_G: 0.014255 Loss_D_real: -0.019185 Loss_D_fake 0.006528
[740/5000][370/535][76214] Loss_D: -0.024237 Loss_G: 0.030208 Loss_D_real: -0.026851 Loss_D_fake -0.002614
[740/5000][375/535][76215] Loss_D: -0.026047 Loss_G: 0.005700 Loss_D_real: -0.008463 Loss_D_fake 0.017584
[740/5000][380/535][76216] Loss_D: -0.024755 Loss_G: 0.005266 Loss_D_real: -0.028864 Loss_D_fake -0.004110
[740/5000][385/535][76217] Loss_D: -0.023471 Loss_G: 0.026980 Loss_D_real: -0.026241 Loss_D_fake -0.002770
[740/5000][390/535][76218] Loss_D: -0.024077 Loss_G: 0.002162 Loss_D_real: -0.002975 Loss_D_fake 0.021102
[740/5000][395/535][76219] Loss_D: -0.023718 Loss_G: 0.012017 Loss_D_real: -0.026420 Loss_D_fake -0.002702
[740/5000][400/535][76220] Loss_D: -0.023636 Loss_G: 0.010612 Loss_D_real: -0.018801 Loss_D_fake 0.004836
[740/5000][405/535][76221] Loss_D: -0.023942 Loss_G: 0.005816 Loss_D_real: -0.025570 Loss_D_fake -0.001629
[740/5000][410/535][76222] Loss_D: -0.023327 Loss_G: 0.020989 Loss_D_real: -0.025314 Loss_D_fake -0.001987
[740/5000][415/535][76223] Loss_D: -0.024739 Loss_G: -0.000889 Loss_D_real: -0.017639 Loss_D_fake 0.007100
[740/5000][420/535][76224] Loss_D: -0.022705 Loss_G: 0.016361 Loss_D_real: -0.021252 Loss_D_fake 0.001453
[740/5000][425/535][76225] Loss_D: -0.023957 Loss_G: 0.020512 Loss_D_real: -0.025899 Loss_D_fake -0.001943
[740/5000][430/535][76226] Loss_D: -0.023972 Loss_G: -0.009247 Loss_D_real: -0.003500 Loss_D_fake 0.020472
[740/5000][435/535][76227] Loss_D: -0.022848 Loss_G: 0.011174 Loss_D_real: -0.025394 Loss_D_fake -0.002546
[740/5000][440/535][76228] Loss_D: -0.023806 Loss_G: 0.014803 Loss_D_real: -0.016743 Loss_D_fake 0.007063
[740/5000][445/535][76229] Loss_D: -0.023548 Loss_G: 0.017441 Loss_D_real: -0.016301 Loss_D_fake 0.007248
[740/5000][450/535][76230] Loss_D: -0.025203 Loss_G: 0.015428 Loss_D_real: -0.029476 Loss_D_fake -0.004273
[740/5000][455/535][76231] Loss_D: -0.023523 Loss_G: 0.021123 Loss_D_real: -0.020415 Loss_D_fake 0.003108
[740/5000][460/535][76232] Loss_D: -0.024588 Loss_G: 0.008672 Loss_D_real: -0.014364 Loss_D_fake 0.010224
[740/5000][465/535][76233] Loss_D: -0.024237 Loss_G: 0.010584 Loss_D_real: -0.016132 Loss_D_fake 0.008105
[740/5000][470/535][76234] Loss_D: -0.022916 Loss_G: -0.009476 Loss_D_real: -0.010737 Loss_D_fake 0.012179
[740/5000][475/535][76235] Loss_D: -0.022870 Loss_G: -0.004906 Loss_D_real: -0.003942 Loss_D_fake 0.018929
[740/5000][480/535][76236] Loss_D: -0.024055 Loss_G: -0.001003 Loss_D_real: -0.005115 Loss_D_fake 0.018940
[740/5000][485/535][76237] Loss_D: -0.024042 Loss_G: -0.000988 Loss_D_real: -0.015595 Loss_D_fake 0.008446
[740/5000][490/535][76238] Loss_D: -0.024419 Loss_G: 0.018429 Loss_D_real: -0.020543 Loss_D_fake 0.003877
[740/5000][495/535][76239] Loss_D: -0.024728 Loss_G: 0.007420 Loss_D_real: -0.025505 Loss_D_fake -0.000776
[740/5000][500/535][76240] Loss_D: -0.023895 Loss_G: -0.001006 Loss_D_real: -0.010540 Loss_D_fake 0.013355
[740/5000][505/535][76241] Loss_D: -0.022997 Loss_G: 0.025154 Loss_D_real: -0.041173 Loss_D_fake -0.018177
[740/5000][510/535][76242] Loss_D: -0.024093 Loss_G: 0.002078 Loss_D_real: -0.012329 Loss_D_fake 0.011764
[740/5000][515/535][76243] Loss_D: -0.024054 Loss_G: -0.008262 Loss_D_real: -0.009520 Loss_D_fake 0.014534
[740/5000][520/535][76244] Loss_D: -0.025557 Loss_G: 0.004834 Loss_D_real: -0.009460 Loss_D_fake 0.016097
[740/5000][525/535][76245] Loss_D: -0.023801 Loss_G: 0.014134 Loss_D_real: -0.021422 Loss_D_fake 0.002379
[740/5000][530/535][76246] Loss_D: -0.024420 Loss_G: 0.018993 Loss_D_real: -0.023362 Loss_D_fake 0.001058
[740/5000][535/535][76247] Loss_D: -0.024806 Loss_G: -0.005716 Loss_D_real: -0.011807 Loss_D_fake 0.012999
[741/5000][5/535][76248] Loss_D: -0.024945 Loss_G: 0.034576 Loss_D_real: -0.028262 Loss_D_fake -0.003317
[741/5000][10/535][76249] Loss_D: -0.023660 Loss_G: 0.011365 Loss_D_real: -0.031681 Loss_D_fake -0.008021
[741/5000][15/535][76250] Loss_D: -0.023694 Loss_G: 0.015066 Loss_D_real: -0.025990 Loss_D_fake -0.002296
[741/5000][20/535][76251] Loss_D: -0.024914 Loss_G: -0.018893 Loss_D_real: -0.014963 Loss_D_fake 0.009951
[741/5000][25/535][76252] Loss_D: -0.023954 Loss_G: 0.010634 Loss_D_real: -0.023909 Loss_D_fake 0.000045
[741/5000][30/535][76253] Loss_D: -0.022356 Loss_G: -0.012381 Loss_D_real: 0.006921 Loss_D_fake 0.029276
[741/5000][35/535][76254] Loss_D: -0.022193 Loss_G: 0.031378 Loss_D_real: -0.035187 Loss_D_fake -0.012993
[741/5000][40/535][76255] Loss_D: -0.024835 Loss_G: 0.003101 Loss_D_real: -0.017994 Loss_D_fake 0.006841
[741/5000][45/535][76256] Loss_D: -0.024185 Loss_G: -0.001206 Loss_D_real: -0.013530 Loss_D_fake 0.010655
[741/5000][50/535][76257] Loss_D: -0.023853 Loss_G: 0.003487 Loss_D_real: -0.017407 Loss_D_fake 0.006446
[741/5000][55/535][76258] Loss_D: -0.025000 Loss_G: 0.008389 Loss_D_real: -0.016917 Loss_D_fake 0.008082
[741/5000][60/535][76259] Loss_D: -0.024003 Loss_G: 0.011644 Loss_D_real: -0.026140 Loss_D_fake -0.002137
[741/5000][65/535][76260] Loss_D: -0.024334 Loss_G: 0.024627 Loss_D_real: -0.031018 Loss_D_fake -0.006683
[741/5000][70/535][76261] Loss_D: -0.023982 Loss_G: 0.013083 Loss_D_real: -0.019464 Loss_D_fake 0.004518
[741/5000][75/535][76262] Loss_D: -0.025838 Loss_G: -0.013924 Loss_D_real: -0.014057 Loss_D_fake 0.011781
[741/5000][80/535][76263] Loss_D: -0.023538 Loss_G: 0.012429 Loss_D_real: -0.019112 Loss_D_fake 0.004426
[741/5000][85/535][76264] Loss_D: -0.024552 Loss_G: 0.001402 Loss_D_real: -0.012013 Loss_D_fake 0.012540
[741/5000][90/535][76265] Loss_D: -0.024103 Loss_G: -0.000864 Loss_D_real: -0.001050 Loss_D_fake 0.023053
[741/5000][95/535][76266] Loss_D: -0.024238 Loss_G: 0.013499 Loss_D_real: -0.027869 Loss_D_fake -0.003631
[741/5000][100/535][76267] Loss_D: -0.024451 Loss_G: 0.015270 Loss_D_real: -0.027640 Loss_D_fake -0.003189
[741/5000][105/535][76268] Loss_D: -0.024653 Loss_G: 0.017453 Loss_D_real: -0.019980 Loss_D_fake 0.004673
[741/5000][110/535][76269] Loss_D: -0.024185 Loss_G: 0.000502 Loss_D_real: -0.012063 Loss_D_fake 0.012122
[741/5000][115/535][76270] Loss_D: -0.023793 Loss_G: 0.005865 Loss_D_real: -0.029562 Loss_D_fake -0.005769
[741/5000][120/535][76271] Loss_D: -0.025529 Loss_G: 0.010492 Loss_D_real: -0.030048 Loss_D_fake -0.004520
[741/5000][125/535][76272] Loss_D: -0.024129 Loss_G: 0.015562 Loss_D_real: -0.015491 Loss_D_fake 0.008638
[741/5000][130/535][76273] Loss_D: -0.024938 Loss_G: 0.010306 Loss_D_real: -0.018968 Loss_D_fake 0.005970
[741/5000][135/535][76274] Loss_D: -0.024346 Loss_G: -0.006558 Loss_D_real: -0.002793 Loss_D_fake 0.021552
[741/5000][140/535][76275] Loss_D: -0.025437 Loss_G: 0.013291 Loss_D_real: -0.022618 Loss_D_fake 0.002819
[741/5000][145/535][76276] Loss_D: -0.022682 Loss_G: -0.008317 Loss_D_real: -0.010023 Loss_D_fake 0.012658
[741/5000][150/535][76277] Loss_D: -0.023933 Loss_G: 0.026087 Loss_D_real: -0.022797 Loss_D_fake 0.001136
[741/5000][155/535][76278] Loss_D: -0.022142 Loss_G: 0.006027 Loss_D_real: -0.013319 Loss_D_fake 0.008822
[741/5000][160/535][76279] Loss_D: -0.023525 Loss_G: 0.016415 Loss_D_real: -0.013600 Loss_D_fake 0.009925
[741/5000][165/535][76280] Loss_D: -0.024077 Loss_G: 0.026448 Loss_D_real: -0.031459 Loss_D_fake -0.007381
[741/5000][170/535][76281] Loss_D: -0.023739 Loss_G: 0.010313 Loss_D_real: -0.016617 Loss_D_fake 0.007122
[741/5000][175/535][76282] Loss_D: -0.025462 Loss_G: 0.025130 Loss_D_real: -0.029978 Loss_D_fake -0.004516
[741/5000][180/535][76283] Loss_D: -0.025877 Loss_G: 0.014771 Loss_D_real: -0.020087 Loss_D_fake 0.005790
[741/5000][185/535][76284] Loss_D: -0.023255 Loss_G: -0.003570 Loss_D_real: -0.013314 Loss_D_fake 0.009941
[741/5000][190/535][76285] Loss_D: -0.025475 Loss_G: 0.017988 Loss_D_real: -0.020308 Loss_D_fake 0.005167
[741/5000][195/535][76286] Loss_D: -0.024016 Loss_G: 0.013852 Loss_D_real: -0.020726 Loss_D_fake 0.003290
[741/5000][200/535][76287] Loss_D: -0.024762 Loss_G: 0.016680 Loss_D_real: -0.028686 Loss_D_fake -0.003924
[741/5000][205/535][76288] Loss_D: -0.024215 Loss_G: 0.002238 Loss_D_real: -0.004743 Loss_D_fake 0.019472
[741/5000][210/535][76289] Loss_D: -0.022383 Loss_G: -0.008293 Loss_D_real: 0.001120 Loss_D_fake 0.023503
[741/5000][215/535][76290] Loss_D: -0.023380 Loss_G: -0.001321 Loss_D_real: -0.017656 Loss_D_fake 0.005723
[741/5000][220/535][76291] Loss_D: -0.024310 Loss_G: 0.025047 Loss_D_real: -0.028601 Loss_D_fake -0.004291
[741/5000][225/535][76292] Loss_D: -0.023208 Loss_G: 0.001696 Loss_D_real: -0.015268 Loss_D_fake 0.007940
[741/5000][230/535][76293] Loss_D: -0.022805 Loss_G: 0.009167 Loss_D_real: -0.024419 Loss_D_fake -0.001614
[741/5000][235/535][76294] Loss_D: -0.024193 Loss_G: 0.019262 Loss_D_real: -0.028617 Loss_D_fake -0.004424
[741/5000][240/535][76295] Loss_D: -0.023664 Loss_G: -0.001445 Loss_D_real: -0.016927 Loss_D_fake 0.006737
[741/5000][245/535][76296] Loss_D: -0.024411 Loss_G: 0.023593 Loss_D_real: -0.030487 Loss_D_fake -0.006075
[741/5000][250/535][76297] Loss_D: -0.024496 Loss_G: 0.024862 Loss_D_real: -0.031107 Loss_D_fake -0.006611
[741/5000][255/535][76298] Loss_D: -0.024020 Loss_G: -0.018627 Loss_D_real: -0.005388 Loss_D_fake 0.018632
[741/5000][260/535][76299] Loss_D: -0.023722 Loss_G: 0.014168 Loss_D_real: -0.028070 Loss_D_fake -0.004348
[741/5000][265/535][76300] Loss_D: -0.023680 Loss_G: 0.017189 Loss_D_real: -0.019060 Loss_D_fake 0.004621
[741/5000][270/535][76301] Loss_D: -0.024779 Loss_G: 0.015220 Loss_D_real: -0.019799 Loss_D_fake 0.004980
[741/5000][275/535][76302] Loss_D: -0.023178 Loss_G: 0.029993 Loss_D_real: -0.032689 Loss_D_fake -0.009511
[741/5000][280/535][76303] Loss_D: -0.023086 Loss_G: 0.022066 Loss_D_real: -0.025690 Loss_D_fake -0.002604
[741/5000][285/535][76304] Loss_D: -0.023327 Loss_G: -0.021347 Loss_D_real: -0.010958 Loss_D_fake 0.012369
[741/5000][290/535][76305] Loss_D: -0.024776 Loss_G: 0.010405 Loss_D_real: -0.019278 Loss_D_fake 0.005497
[741/5000][295/535][76306] Loss_D: -0.023744 Loss_G: 0.013292 Loss_D_real: -0.017840 Loss_D_fake 0.005904
[741/5000][300/535][76307] Loss_D: -0.021766 Loss_G: 0.023013 Loss_D_real: -0.031045 Loss_D_fake -0.009279
[741/5000][305/535][76308] Loss_D: -0.023106 Loss_G: 0.012075 Loss_D_real: -0.024552 Loss_D_fake -0.001446
[741/5000][310/535][76309] Loss_D: -0.024360 Loss_G: 0.014617 Loss_D_real: -0.012186 Loss_D_fake 0.012174
[741/5000][315/535][76310] Loss_D: -0.022872 Loss_G: 0.006910 Loss_D_real: -0.023530 Loss_D_fake -0.000658
[741/5000][320/535][76311] Loss_D: -0.024973 Loss_G: 0.021302 Loss_D_real: -0.024626 Loss_D_fake 0.000347
[741/5000][325/535][76312] Loss_D: -0.024546 Loss_G: 0.024548 Loss_D_real: -0.032374 Loss_D_fake -0.007828
[741/5000][330/535][76313] Loss_D: -0.025344 Loss_G: -0.011358 Loss_D_real: -0.011256 Loss_D_fake 0.014088
[741/5000][335/535][76314] Loss_D: -0.024206 Loss_G: 0.015430 Loss_D_real: -0.024081 Loss_D_fake 0.000125
[741/5000][340/535][76315] Loss_D: -0.023498 Loss_G: 0.013738 Loss_D_real: -0.019490 Loss_D_fake 0.004009
[741/5000][345/535][76316] Loss_D: -0.025039 Loss_G: 0.001894 Loss_D_real: -0.018819 Loss_D_fake 0.006221
[741/5000][350/535][76317] Loss_D: -0.023451 Loss_G: 0.008375 Loss_D_real: -0.015972 Loss_D_fake 0.007480
[741/5000][355/535][76318] Loss_D: -0.024322 Loss_G: 0.016024 Loss_D_real: -0.015844 Loss_D_fake 0.008478
[741/5000][360/535][76319] Loss_D: -0.023474 Loss_G: 0.007044 Loss_D_real: -0.017938 Loss_D_fake 0.005536
[741/5000][365/535][76320] Loss_D: -0.023220 Loss_G: 0.013016 Loss_D_real: -0.020816 Loss_D_fake 0.002403
[741/5000][370/535][76321] Loss_D: -0.023373 Loss_G: 0.015110 Loss_D_real: -0.023385 Loss_D_fake -0.000011
[741/5000][375/535][76322] Loss_D: -0.024451 Loss_G: 0.023146 Loss_D_real: -0.031466 Loss_D_fake -0.007015
[741/5000][380/535][76323] Loss_D: -0.024540 Loss_G: -0.003846 Loss_D_real: -0.009072 Loss_D_fake 0.015468
[741/5000][385/535][76324] Loss_D: -0.023889 Loss_G: 0.015571 Loss_D_real: -0.014155 Loss_D_fake 0.009734
[741/5000][390/535][76325] Loss_D: -0.025443 Loss_G: 0.012356 Loss_D_real: -0.019817 Loss_D_fake 0.005626
[741/5000][395/535][76326] Loss_D: -0.023135 Loss_G: -0.021932 Loss_D_real: 0.002943 Loss_D_fake 0.026078
[741/5000][400/535][76327] Loss_D: -0.023905 Loss_G: -0.002050 Loss_D_real: -0.009144 Loss_D_fake 0.014761
[741/5000][405/535][76328] Loss_D: -0.019924 Loss_G: 0.035951 Loss_D_real: -0.040523 Loss_D_fake -0.020599
[741/5000][410/535][76329] Loss_D: -0.021843 Loss_G: -0.011997 Loss_D_real: -0.001657 Loss_D_fake 0.020186
[741/5000][415/535][76330] Loss_D: -0.022233 Loss_G: 0.016385 Loss_D_real: -0.023759 Loss_D_fake -0.001525
[741/5000][420/535][76331] Loss_D: -0.024785 Loss_G: -0.008102 Loss_D_real: -0.012515 Loss_D_fake 0.012270
[741/5000][425/535][76332] Loss_D: -0.023913 Loss_G: 0.013743 Loss_D_real: -0.019804 Loss_D_fake 0.004108
[741/5000][430/535][76333] Loss_D: -0.023743 Loss_G: 0.017785 Loss_D_real: -0.026899 Loss_D_fake -0.003156
[741/5000][435/535][76334] Loss_D: -0.023751 Loss_G: -0.011105 Loss_D_real: -0.000657 Loss_D_fake 0.023094
[741/5000][440/535][76335] Loss_D: -0.023831 Loss_G: 0.006163 Loss_D_real: -0.024535 Loss_D_fake -0.000703
[741/5000][445/535][76336] Loss_D: -0.023137 Loss_G: 0.004549 Loss_D_real: -0.009031 Loss_D_fake 0.014106
[741/5000][450/535][76337] Loss_D: -0.023868 Loss_G: 0.028755 Loss_D_real: -0.021500 Loss_D_fake 0.002368
[741/5000][455/535][76338] Loss_D: -0.024229 Loss_G: 0.002520 Loss_D_real: -0.017509 Loss_D_fake 0.006720
[741/5000][460/535][76339] Loss_D: -0.024191 Loss_G: 0.010157 Loss_D_real: -0.029831 Loss_D_fake -0.005640
[741/5000][465/535][76340] Loss_D: -0.023244 Loss_G: 0.012660 Loss_D_real: -0.018846 Loss_D_fake 0.004398
[741/5000][470/535][76341] Loss_D: -0.023957 Loss_G: 0.011390 Loss_D_real: -0.034135 Loss_D_fake -0.010178
[741/5000][475/535][76342] Loss_D: -0.024364 Loss_G: 0.002866 Loss_D_real: -0.015319 Loss_D_fake 0.009045
[741/5000][480/535][76343] Loss_D: -0.024281 Loss_G: 0.009602 Loss_D_real: -0.014203 Loss_D_fake 0.010078
[741/5000][485/535][76344] Loss_D: -0.024141 Loss_G: -0.001122 Loss_D_real: 0.001202 Loss_D_fake 0.025343
[741/5000][490/535][76345] Loss_D: -0.022235 Loss_G: 0.022752 Loss_D_real: -0.035006 Loss_D_fake -0.012771
[741/5000][495/535][76346] Loss_D: -0.022992 Loss_G: 0.011968 Loss_D_real: -0.021757 Loss_D_fake 0.001235
[741/5000][500/535][76347] Loss_D: -0.023707 Loss_G: 0.011641 Loss_D_real: -0.017192 Loss_D_fake 0.006515
[741/5000][505/535][76348] Loss_D: -0.021758 Loss_G: -0.010722 Loss_D_real: -0.003240 Loss_D_fake 0.018519
[741/5000][510/535][76349] Loss_D: -0.023472 Loss_G: -0.003486 Loss_D_real: -0.015285 Loss_D_fake 0.008187
[741/5000][515/535][76350] Loss_D: -0.023791 Loss_G: 0.025547 Loss_D_real: -0.023698 Loss_D_fake 0.000093
[741/5000][520/535][76351] Loss_D: -0.024298 Loss_G: 0.010130 Loss_D_real: -0.011342 Loss_D_fake 0.012956
[741/5000][525/535][76352] Loss_D: -0.022884 Loss_G: 0.008575 Loss_D_real: -0.010400 Loss_D_fake 0.012484
[741/5000][530/535][76353] Loss_D: -0.021690 Loss_G: 0.025966 Loss_D_real: -0.031743 Loss_D_fake -0.010053
[741/5000][535/535][76354] Loss_D: -0.022434 Loss_G: -0.014649 Loss_D_real: -0.007521 Loss_D_fake 0.014913
[742/5000][5/535][76355] Loss_D: -0.022708 Loss_G: 0.012366 Loss_D_real: -0.027126 Loss_D_fake -0.004417
[742/5000][10/535][76356] Loss_D: -0.024100 Loss_G: 0.016335 Loss_D_real: -0.029069 Loss_D_fake -0.004969
[742/5000][15/535][76357] Loss_D: -0.024230 Loss_G: 0.018118 Loss_D_real: -0.022475 Loss_D_fake 0.001755
[742/5000][20/535][76358] Loss_D: -0.024074 Loss_G: 0.012024 Loss_D_real: -0.021831 Loss_D_fake 0.002242
[742/5000][25/535][76359] Loss_D: -0.024858 Loss_G: 0.018725 Loss_D_real: -0.026927 Loss_D_fake -0.002069
[742/5000][30/535][76360] Loss_D: -0.025380 Loss_G: 0.002736 Loss_D_real: -0.016070 Loss_D_fake 0.009310
[742/5000][35/535][76361] Loss_D: -0.025137 Loss_G: -0.003131 Loss_D_real: -0.009530 Loss_D_fake 0.015607
[742/5000][40/535][76362] Loss_D: -0.023827 Loss_G: -0.004782 Loss_D_real: -0.015189 Loss_D_fake 0.008638
[742/5000][45/535][76363] Loss_D: -0.024756 Loss_G: 0.010193 Loss_D_real: -0.029258 Loss_D_fake -0.004502
[742/5000][50/535][76364] Loss_D: -0.026169 Loss_G: 0.014299 Loss_D_real: -0.019816 Loss_D_fake 0.006353
[742/5000][55/535][76365] Loss_D: -0.024806 Loss_G: 0.011152 Loss_D_real: -0.018554 Loss_D_fake 0.006252
[742/5000][60/535][76366] Loss_D: -0.023622 Loss_G: 0.028699 Loss_D_real: -0.036515 Loss_D_fake -0.012893
[742/5000][65/535][76367] Loss_D: -0.023902 Loss_G: -0.016505 Loss_D_real: -0.003769 Loss_D_fake 0.020132
[742/5000][70/535][76368] Loss_D: -0.023364 Loss_G: 0.023393 Loss_D_real: -0.036203 Loss_D_fake -0.012840
[742/5000][75/535][76369] Loss_D: -0.023489 Loss_G: 0.028755 Loss_D_real: -0.030969 Loss_D_fake -0.007481
[742/5000][80/535][76370] Loss_D: -0.023928 Loss_G: -0.001499 Loss_D_real: -0.011907 Loss_D_fake 0.012022
[742/5000][85/535][76371] Loss_D: -0.023391 Loss_G: 0.012676 Loss_D_real: -0.016574 Loss_D_fake 0.006817
[742/5000][90/535][76372] Loss_D: -0.023192 Loss_G: 0.022471 Loss_D_real: -0.020253 Loss_D_fake 0.002939
[742/5000][95/535][76373] Loss_D: -0.024558 Loss_G: 0.007349 Loss_D_real: -0.022780 Loss_D_fake 0.001778
[742/5000][100/535][76374] Loss_D: -0.024222 Loss_G: 0.006852 Loss_D_real: -0.020300 Loss_D_fake 0.003922
[742/5000][105/535][76375] Loss_D: -0.024398 Loss_G: 0.012776 Loss_D_real: -0.020234 Loss_D_fake 0.004165
[742/5000][110/535][76376] Loss_D: -0.024183 Loss_G: 0.016270 Loss_D_real: -0.013138 Loss_D_fake 0.011046
[742/5000][115/535][76377] Loss_D: -0.024635 Loss_G: 0.006065 Loss_D_real: -0.024213 Loss_D_fake 0.000422
[742/5000][120/535][76378] Loss_D: -0.023446 Loss_G: -0.006619 Loss_D_real: -0.007829 Loss_D_fake 0.015617
[742/5000][125/535][76379] Loss_D: -0.023245 Loss_G: 0.002684 Loss_D_real: -0.009197 Loss_D_fake 0.014048
[742/5000][130/535][76380] Loss_D: -0.023517 Loss_G: 0.029190 Loss_D_real: -0.028716 Loss_D_fake -0.005199
[742/5000][135/535][76381] Loss_D: -0.022957 Loss_G: 0.021027 Loss_D_real: -0.019827 Loss_D_fake 0.003130
[742/5000][140/535][76382] Loss_D: -0.023797 Loss_G: 0.013197 Loss_D_real: -0.022433 Loss_D_fake 0.001364
[742/5000][145/535][76383] Loss_D: -0.024687 Loss_G: 0.008494 Loss_D_real: -0.017977 Loss_D_fake 0.006710
[742/5000][150/535][76384] Loss_D: -0.023756 Loss_G: 0.025765 Loss_D_real: -0.030239 Loss_D_fake -0.006483
[742/5000][155/535][76385] Loss_D: -0.025193 Loss_G: 0.003796 Loss_D_real: -0.010611 Loss_D_fake 0.014582
[742/5000][160/535][76386] Loss_D: -0.023971 Loss_G: 0.001769 Loss_D_real: -0.004188 Loss_D_fake 0.019783
[742/5000][165/535][76387] Loss_D: -0.022939 Loss_G: 0.018287 Loss_D_real: -0.036910 Loss_D_fake -0.013971
[742/5000][170/535][76388] Loss_D: -0.024210 Loss_G: -0.002105 Loss_D_real: -0.021471 Loss_D_fake 0.002738
[742/5000][175/535][76389] Loss_D: -0.024489 Loss_G: 0.022190 Loss_D_real: -0.028594 Loss_D_fake -0.004105
[742/5000][180/535][76390] Loss_D: -0.023942 Loss_G: -0.005862 Loss_D_real: -0.011863 Loss_D_fake 0.012079
[742/5000][185/535][76391] Loss_D: -0.023860 Loss_G: 0.001685 Loss_D_real: -0.015959 Loss_D_fake 0.007901
[742/5000][190/535][76392] Loss_D: -0.024091 Loss_G: 0.015377 Loss_D_real: -0.015575 Loss_D_fake 0.008516
[742/5000][195/535][76393] Loss_D: -0.023920 Loss_G: 0.017126 Loss_D_real: -0.031849 Loss_D_fake -0.007929
[742/5000][200/535][76394] Loss_D: -0.024255 Loss_G: 0.007121 Loss_D_real: -0.022383 Loss_D_fake 0.001872
[742/5000][205/535][76395] Loss_D: -0.025076 Loss_G: -0.001074 Loss_D_real: -0.020772 Loss_D_fake 0.004304
[742/5000][210/535][76396] Loss_D: -0.022947 Loss_G: 0.029924 Loss_D_real: -0.036655 Loss_D_fake -0.013708
[742/5000][215/535][76397] Loss_D: -0.023848 Loss_G: -0.005464 Loss_D_real: -0.010182 Loss_D_fake 0.013666
[742/5000][220/535][76398] Loss_D: -0.023423 Loss_G: -0.007005 Loss_D_real: -0.002845 Loss_D_fake 0.020578
[742/5000][225/535][76399] Loss_D: -0.023187 Loss_G: 0.008196 Loss_D_real: -0.014802 Loss_D_fake 0.008385
[742/5000][230/535][76400] Loss_D: -0.023287 Loss_G: -0.006738 Loss_D_real: -0.010379 Loss_D_fake 0.012908
[742/5000][235/535][76401] Loss_D: -0.023704 Loss_G: 0.006336 Loss_D_real: -0.017235 Loss_D_fake 0.006469
[742/5000][240/535][76402] Loss_D: -0.023208 Loss_G: 0.020311 Loss_D_real: -0.018317 Loss_D_fake 0.004891
[742/5000][245/535][76403] Loss_D: -0.022618 Loss_G: 0.000750 Loss_D_real: -0.015431 Loss_D_fake 0.007187
[742/5000][250/535][76404] Loss_D: -0.023158 Loss_G: 0.010735 Loss_D_real: -0.023897 Loss_D_fake -0.000739
[742/5000][255/535][76405] Loss_D: -0.024302 Loss_G: 0.029174 Loss_D_real: -0.020447 Loss_D_fake 0.003855
[742/5000][260/535][76406] Loss_D: -0.022748 Loss_G: 0.010625 Loss_D_real: -0.005084 Loss_D_fake 0.017664
[742/5000][265/535][76407] Loss_D: -0.022606 Loss_G: -0.015358 Loss_D_real: 0.000710 Loss_D_fake 0.023316
[742/5000][270/535][76408] Loss_D: -0.023939 Loss_G: 0.004699 Loss_D_real: -0.018708 Loss_D_fake 0.005231
[742/5000][275/535][76409] Loss_D: -0.023471 Loss_G: 0.000115 Loss_D_real: 0.001961 Loss_D_fake 0.025432
[742/5000][280/535][76410] Loss_D: -0.023161 Loss_G: 0.004085 Loss_D_real: -0.017898 Loss_D_fake 0.005262
[742/5000][285/535][76411] Loss_D: -0.024526 Loss_G: 0.006413 Loss_D_real: -0.018643 Loss_D_fake 0.005883
[742/5000][290/535][76412] Loss_D: -0.024018 Loss_G: 0.003140 Loss_D_real: -0.013622 Loss_D_fake 0.010396
[742/5000][295/535][76413] Loss_D: -0.024323 Loss_G: 0.027518 Loss_D_real: -0.023559 Loss_D_fake 0.000764
[742/5000][300/535][76414] Loss_D: -0.023844 Loss_G: 0.005500 Loss_D_real: -0.015245 Loss_D_fake 0.008600
[742/5000][305/535][76415] Loss_D: -0.023821 Loss_G: 0.013928 Loss_D_real: -0.028766 Loss_D_fake -0.004946
[742/5000][310/535][76416] Loss_D: -0.022181 Loss_G: 0.036258 Loss_D_real: -0.030097 Loss_D_fake -0.007916
[742/5000][315/535][76417] Loss_D: -0.024256 Loss_G: -0.002001 Loss_D_real: -0.014569 Loss_D_fake 0.009687
[742/5000][320/535][76418] Loss_D: -0.023267 Loss_G: 0.005095 Loss_D_real: -0.010285 Loss_D_fake 0.012982
[742/5000][325/535][76419] Loss_D: -0.022966 Loss_G: -0.002912 Loss_D_real: -0.008572 Loss_D_fake 0.014394
[742/5000][330/535][76420] Loss_D: -0.024292 Loss_G: 0.013221 Loss_D_real: -0.022597 Loss_D_fake 0.001696
[742/5000][335/535][76421] Loss_D: -0.024789 Loss_G: 0.008476 Loss_D_real: -0.022705 Loss_D_fake 0.002085
[742/5000][340/535][76422] Loss_D: -0.023177 Loss_G: 0.026625 Loss_D_real: -0.020000 Loss_D_fake 0.003177
[742/5000][345/535][76423] Loss_D: -0.024671 Loss_G: -0.002274 Loss_D_real: -0.014174 Loss_D_fake 0.010497
[742/5000][350/535][76424] Loss_D: -0.023769 Loss_G: 0.022092 Loss_D_real: -0.019998 Loss_D_fake 0.003771
[742/5000][355/535][76425] Loss_D: -0.024938 Loss_G: -0.010227 Loss_D_real: -0.009748 Loss_D_fake 0.015190
[742/5000][360/535][76426] Loss_D: -0.024657 Loss_G: -0.011614 Loss_D_real: -0.005616 Loss_D_fake 0.019041
[742/5000][365/535][76427] Loss_D: -0.023778 Loss_G: -0.012449 Loss_D_real: -0.002872 Loss_D_fake 0.020906
[742/5000][370/535][76428] Loss_D: -0.022485 Loss_G: 0.012959 Loss_D_real: -0.018255 Loss_D_fake 0.004230
[742/5000][375/535][76429] Loss_D: -0.023001 Loss_G: -0.023315 Loss_D_real: 0.007854 Loss_D_fake 0.030855
[742/5000][380/535][76430] Loss_D: -0.023262 Loss_G: 0.021705 Loss_D_real: -0.030184 Loss_D_fake -0.006921
[742/5000][385/535][76431] Loss_D: -0.025144 Loss_G: 0.016751 Loss_D_real: -0.030387 Loss_D_fake -0.005243
[742/5000][390/535][76432] Loss_D: -0.026525 Loss_G: 0.004904 Loss_D_real: -0.012307 Loss_D_fake 0.014218
[742/5000][395/535][76433] Loss_D: -0.025305 Loss_G: 0.009646 Loss_D_real: -0.012224 Loss_D_fake 0.013081
[742/5000][400/535][76434] Loss_D: -0.025898 Loss_G: -0.003185 Loss_D_real: -0.009978 Loss_D_fake 0.015921
[742/5000][405/535][76435] Loss_D: -0.023381 Loss_G: 0.026948 Loss_D_real: -0.025924 Loss_D_fake -0.002543
[742/5000][410/535][76436] Loss_D: -0.023909 Loss_G: 0.022555 Loss_D_real: -0.028189 Loss_D_fake -0.004280
[742/5000][415/535][76437] Loss_D: -0.023618 Loss_G: 0.011074 Loss_D_real: -0.010404 Loss_D_fake 0.013214
[742/5000][420/535][76438] Loss_D: -0.024272 Loss_G: 0.015169 Loss_D_real: -0.028453 Loss_D_fake -0.004180
[742/5000][425/535][76439] Loss_D: -0.025503 Loss_G: 0.014224 Loss_D_real: -0.019948 Loss_D_fake 0.005556
[742/5000][430/535][76440] Loss_D: -0.024376 Loss_G: 0.020714 Loss_D_real: -0.034579 Loss_D_fake -0.010203
[742/5000][435/535][76441] Loss_D: -0.024848 Loss_G: 0.008143 Loss_D_real: -0.017184 Loss_D_fake 0.007664
[742/5000][440/535][76442] Loss_D: -0.025622 Loss_G: -0.002829 Loss_D_real: -0.011902 Loss_D_fake 0.013720
[742/5000][445/535][76443] Loss_D: -0.023121 Loss_G: -0.003259 Loss_D_real: -0.007576 Loss_D_fake 0.015546
[742/5000][450/535][76444] Loss_D: -0.024736 Loss_G: 0.005368 Loss_D_real: -0.019062 Loss_D_fake 0.005674
[742/5000][455/535][76445] Loss_D: -0.024502 Loss_G: -0.005157 Loss_D_real: -0.012119 Loss_D_fake 0.012383
[742/5000][460/535][76446] Loss_D: -0.025463 Loss_G: 0.002285 Loss_D_real: -0.011047 Loss_D_fake 0.014415
[742/5000][465/535][76447] Loss_D: -0.025281 Loss_G: 0.024288 Loss_D_real: -0.026936 Loss_D_fake -0.001655
[742/5000][470/535][76448] Loss_D: -0.024494 Loss_G: 0.003316 Loss_D_real: -0.014125 Loss_D_fake 0.010370
[742/5000][475/535][76449] Loss_D: -0.022472 Loss_G: 0.002578 Loss_D_real: -0.015358 Loss_D_fake 0.007114
[742/5000][480/535][76450] Loss_D: -0.023536 Loss_G: -0.011028 Loss_D_real: -0.007725 Loss_D_fake 0.015811
[742/5000][485/535][76451] Loss_D: -0.024064 Loss_G: 0.013413 Loss_D_real: -0.016263 Loss_D_fake 0.007801
[742/5000][490/535][76452] Loss_D: -0.024911 Loss_G: 0.004638 Loss_D_real: -0.006911 Loss_D_fake 0.018000
[742/5000][495/535][76453] Loss_D: -0.024358 Loss_G: 0.007589 Loss_D_real: -0.020924 Loss_D_fake 0.003433
[742/5000][500/535][76454] Loss_D: -0.025061 Loss_G: 0.005790 Loss_D_real: -0.018525 Loss_D_fake 0.006536
[742/5000][505/535][76455] Loss_D: -0.023855 Loss_G: 0.014677 Loss_D_real: -0.024041 Loss_D_fake -0.000186
[742/5000][510/535][76456] Loss_D: -0.024477 Loss_G: 0.015588 Loss_D_real: -0.015625 Loss_D_fake 0.008852
[742/5000][515/535][76457] Loss_D: -0.024435 Loss_G: -0.005735 Loss_D_real: -0.009568 Loss_D_fake 0.014866
[742/5000][520/535][76458] Loss_D: -0.022773 Loss_G: 0.019508 Loss_D_real: -0.030686 Loss_D_fake -0.007914
[742/5000][525/535][76459] Loss_D: -0.024286 Loss_G: 0.027123 Loss_D_real: -0.033966 Loss_D_fake -0.009680
[742/5000][530/535][76460] Loss_D: -0.024215 Loss_G: 0.002087 Loss_D_real: -0.013264 Loss_D_fake 0.010951
[742/5000][535/535][76461] Loss_D: -0.019662 Loss_G: 0.024814 Loss_D_real: -0.013333 Loss_D_fake 0.006329
[743/5000][5/535][76462] Loss_D: -0.024461 Loss_G: 0.006251 Loss_D_real: -0.010322 Loss_D_fake 0.014139
[743/5000][10/535][76463] Loss_D: -0.023796 Loss_G: 0.029906 Loss_D_real: -0.033306 Loss_D_fake -0.009510
[743/5000][15/535][76464] Loss_D: -0.022452 Loss_G: -0.016193 Loss_D_real: 0.000624 Loss_D_fake 0.023076
[743/5000][20/535][76465] Loss_D: -0.023956 Loss_G: 0.009640 Loss_D_real: -0.021129 Loss_D_fake 0.002826
[743/5000][25/535][76466] Loss_D: -0.024696 Loss_G: 0.005480 Loss_D_real: -0.013864 Loss_D_fake 0.010832
[743/5000][30/535][76467] Loss_D: -0.023204 Loss_G: 0.019721 Loss_D_real: -0.029252 Loss_D_fake -0.006048
[743/5000][35/535][76468] Loss_D: -0.023215 Loss_G: 0.015213 Loss_D_real: -0.024267 Loss_D_fake -0.001052
[743/5000][40/535][76469] Loss_D: -0.024247 Loss_G: 0.004693 Loss_D_real: -0.018122 Loss_D_fake 0.006125
[743/5000][45/535][76470] Loss_D: -0.023329 Loss_G: 0.003333 Loss_D_real: -0.015760 Loss_D_fake 0.007569
[743/5000][50/535][76471] Loss_D: -0.022862 Loss_G: 0.022122 Loss_D_real: -0.027655 Loss_D_fake -0.004794
[743/5000][55/535][76472] Loss_D: -0.023633 Loss_G: 0.003046 Loss_D_real: -0.015341 Loss_D_fake 0.008292
[743/5000][60/535][76473] Loss_D: -0.022763 Loss_G: 0.021125 Loss_D_real: -0.021817 Loss_D_fake 0.000946
[743/5000][65/535][76474] Loss_D: -0.023186 Loss_G: 0.028398 Loss_D_real: -0.025204 Loss_D_fake -0.002018
[743/5000][70/535][76475] Loss_D: -0.023803 Loss_G: 0.013685 Loss_D_real: -0.014334 Loss_D_fake 0.009469
[743/5000][75/535][76476] Loss_D: -0.021994 Loss_G: -0.007312 Loss_D_real: -0.004004 Loss_D_fake 0.017990
[743/5000][80/535][76477] Loss_D: -0.024587 Loss_G: 0.000471 Loss_D_real: -0.013033 Loss_D_fake 0.011554
[743/5000][85/535][76478] Loss_D: -0.023435 Loss_G: 0.012846 Loss_D_real: -0.028416 Loss_D_fake -0.004981
[743/5000][90/535][76479] Loss_D: -0.022598 Loss_G: 0.019084 Loss_D_real: -0.019072 Loss_D_fake 0.003526
[743/5000][95/535][76480] Loss_D: -0.023992 Loss_G: 0.006980 Loss_D_real: -0.007388 Loss_D_fake 0.016603
[743/5000][100/535][76481] Loss_D: -0.024628 Loss_G: 0.001363 Loss_D_real: -0.024217 Loss_D_fake 0.000411
[743/5000][105/535][76482] Loss_D: -0.022974 Loss_G: 0.023963 Loss_D_real: -0.024012 Loss_D_fake -0.001038
[743/5000][110/535][76483] Loss_D: -0.023315 Loss_G: -0.006922 Loss_D_real: -0.008402 Loss_D_fake 0.014913
[743/5000][115/535][76484] Loss_D: -0.022578 Loss_G: 0.028566 Loss_D_real: -0.025941 Loss_D_fake -0.003364
[743/5000][120/535][76485] Loss_D: -0.023859 Loss_G: 0.010836 Loss_D_real: -0.023592 Loss_D_fake 0.000267
[743/5000][125/535][76486] Loss_D: -0.023139 Loss_G: -0.005517 Loss_D_real: -0.011708 Loss_D_fake 0.011431
[743/5000][130/535][76487] Loss_D: -0.023294 Loss_G: 0.008163 Loss_D_real: -0.030730 Loss_D_fake -0.007436
[743/5000][135/535][76488] Loss_D: -0.023981 Loss_G: 0.006917 Loss_D_real: -0.017959 Loss_D_fake 0.006023
[743/5000][140/535][76489] Loss_D: -0.023329 Loss_G: 0.026518 Loss_D_real: -0.029479 Loss_D_fake -0.006149
[743/5000][145/535][76490] Loss_D: -0.024706 Loss_G: -0.000222 Loss_D_real: -0.009851 Loss_D_fake 0.014856
[743/5000][150/535][76491] Loss_D: -0.025368 Loss_G: 0.003021 Loss_D_real: -0.004057 Loss_D_fake 0.021311
[743/5000][155/535][76492] Loss_D: -0.023774 Loss_G: 0.033242 Loss_D_real: -0.034864 Loss_D_fake -0.011090
[743/5000][160/535][76493] Loss_D: -0.025872 Loss_G: 0.014424 Loss_D_real: -0.020967 Loss_D_fake 0.004905
[743/5000][165/535][76494] Loss_D: -0.025095 Loss_G: 0.020932 Loss_D_real: -0.032050 Loss_D_fake -0.006956
[743/5000][170/535][76495] Loss_D: -0.024841 Loss_G: 0.012539 Loss_D_real: -0.029042 Loss_D_fake -0.004201
[743/5000][175/535][76496] Loss_D: -0.023272 Loss_G: 0.019337 Loss_D_real: -0.035781 Loss_D_fake -0.012508
[743/5000][180/535][76497] Loss_D: -0.024029 Loss_G: 0.013398 Loss_D_real: -0.021885 Loss_D_fake 0.002144
[743/5000][185/535][76498] Loss_D: -0.023525 Loss_G: 0.022776 Loss_D_real: -0.018535 Loss_D_fake 0.004990
[743/5000][190/535][76499] Loss_D: -0.022901 Loss_G: 0.023972 Loss_D_real: -0.034425 Loss_D_fake -0.011524
[743/5000][195/535][76500] Loss_D: -0.023086 Loss_G: -0.002459 Loss_D_real: -0.022817 Loss_D_fake 0.000269
[743/5000][295/535][76501] Loss_D: -0.028333 Loss_G: 0.024628 Loss_D_real: -0.033365 Loss_D_fake -0.005032
[743/5000][300/535][76502] Loss_D: -0.025879 Loss_G: 0.016381 Loss_D_real: -0.025862 Loss_D_fake 0.000017
[743/5000][305/535][76503] Loss_D: -0.021307 Loss_G: -0.010785 Loss_D_real: -0.008405 Loss_D_fake 0.012902
[743/5000][310/535][76504] Loss_D: -0.023332 Loss_G: 0.007073 Loss_D_real: -0.002270 Loss_D_fake 0.021061
[743/5000][315/535][76505] Loss_D: -0.021350 Loss_G: 0.028095 Loss_D_real: -0.027389 Loss_D_fake -0.006039
[743/5000][320/535][76506] Loss_D: -0.021802 Loss_G: 0.019203 Loss_D_real: -0.023778 Loss_D_fake -0.001975
[743/5000][325/535][76507] Loss_D: -0.023408 Loss_G: -0.012411 Loss_D_real: -0.005193 Loss_D_fake 0.018215
[743/5000][330/535][76508] Loss_D: -0.021437 Loss_G: 0.005490 Loss_D_real: -0.014998 Loss_D_fake 0.006438
[743/5000][335/535][76509] Loss_D: -0.022469 Loss_G: 0.012127 Loss_D_real: -0.023279 Loss_D_fake -0.000810
[743/5000][340/535][76510] Loss_D: -0.023337 Loss_G: -0.002920 Loss_D_real: -0.019452 Loss_D_fake 0.003885
[743/5000][345/535][76511] Loss_D: -0.023504 Loss_G: 0.016302 Loss_D_real: -0.034671 Loss_D_fake -0.011167
[743/5000][350/535][76512] Loss_D: -0.023038 Loss_G: 0.008351 Loss_D_real: -0.019629 Loss_D_fake 0.003409
[743/5000][355/535][76513] Loss_D: -0.022822 Loss_G: 0.003258 Loss_D_real: -0.018799 Loss_D_fake 0.004023
[743/5000][360/535][76514] Loss_D: -0.021656 Loss_G: 0.029725 Loss_D_real: -0.022725 Loss_D_fake -0.001069
[743/5000][365/535][76515] Loss_D: -0.022403 Loss_G: 0.008977 Loss_D_real: -0.021175 Loss_D_fake 0.001228
[743/5000][370/535][76516] Loss_D: -0.024137 Loss_G: 0.008010 Loss_D_real: -0.017557 Loss_D_fake 0.006580
[743/5000][375/535][76517] Loss_D: -0.024889 Loss_G: 0.010202 Loss_D_real: -0.019684 Loss_D_fake 0.005204
[743/5000][380/535][76518] Loss_D: -0.024592 Loss_G: 0.010314 Loss_D_real: -0.024343 Loss_D_fake 0.000248
[743/5000][385/535][76519] Loss_D: -0.024169 Loss_G: 0.028156 Loss_D_real: -0.028836 Loss_D_fake -0.004667
[743/5000][390/535][76520] Loss_D: -0.024566 Loss_G: 0.013763 Loss_D_real: -0.016996 Loss_D_fake 0.007571
[743/5000][395/535][76521] Loss_D: -0.024208 Loss_G: 0.007742 Loss_D_real: -0.021652 Loss_D_fake 0.002556
[743/5000][400/535][76522] Loss_D: -0.023842 Loss_G: -0.005516 Loss_D_real: -0.017095 Loss_D_fake 0.006747
[743/5000][405/535][76523] Loss_D: -0.024280 Loss_G: -0.005664 Loss_D_real: -0.008813 Loss_D_fake 0.015468
[743/5000][410/535][76524] Loss_D: -0.023273 Loss_G: 0.001022 Loss_D_real: -0.010849 Loss_D_fake 0.012424
[743/5000][415/535][76525] Loss_D: -0.022613 Loss_G: 0.023525 Loss_D_real: -0.034803 Loss_D_fake -0.012189
[743/5000][420/535][76526] Loss_D: -0.023328 Loss_G: 0.013008 Loss_D_real: -0.017614 Loss_D_fake 0.005715
[743/5000][425/535][76527] Loss_D: -0.024763 Loss_G: 0.014578 Loss_D_real: -0.017969 Loss_D_fake 0.006795
[743/5000][430/535][76528] Loss_D: -0.023951 Loss_G: -0.017280 Loss_D_real: -0.010070 Loss_D_fake 0.013881
[743/5000][435/535][76529] Loss_D: -0.023477 Loss_G: 0.000382 Loss_D_real: -0.011788 Loss_D_fake 0.011689
[743/5000][440/535][76530] Loss_D: -0.023222 Loss_G: 0.012320 Loss_D_real: -0.030351 Loss_D_fake -0.007129
[743/5000][445/535][76531] Loss_D: -0.022942 Loss_G: 0.010566 Loss_D_real: -0.013075 Loss_D_fake 0.009867
[743/5000][450/535][76532] Loss_D: -0.023768 Loss_G: 0.010422 Loss_D_real: -0.015589 Loss_D_fake 0.008180
[743/5000][455/535][76533] Loss_D: -0.024160 Loss_G: 0.004999 Loss_D_real: -0.011381 Loss_D_fake 0.012779
[743/5000][460/535][76534] Loss_D: -0.023724 Loss_G: 0.003013 Loss_D_real: -0.018176 Loss_D_fake 0.005548
[743/5000][465/535][76535] Loss_D: -0.022962 Loss_G: 0.009758 Loss_D_real: -0.027060 Loss_D_fake -0.004098
[743/5000][470/535][76536] Loss_D: -0.023515 Loss_G: 0.021743 Loss_D_real: -0.024921 Loss_D_fake -0.001406
[743/5000][475/535][76537] Loss_D: -0.023611 Loss_G: 0.000391 Loss_D_real: -0.020894 Loss_D_fake 0.002717
[743/5000][480/535][76538] Loss_D: -0.023306 Loss_G: 0.011750 Loss_D_real: -0.016943 Loss_D_fake 0.006363
[743/5000][485/535][76539] Loss_D: -0.023577 Loss_G: 0.003008 Loss_D_real: -0.023121 Loss_D_fake 0.000456
[743/5000][490/535][76540] Loss_D: -0.024011 Loss_G: 0.007994 Loss_D_real: -0.020173 Loss_D_fake 0.003838
[743/5000][495/535][76541] Loss_D: -0.025772 Loss_G: 0.015609 Loss_D_real: -0.033978 Loss_D_fake -0.008205
[743/5000][500/535][76542] Loss_D: -0.025024 Loss_G: 0.003526 Loss_D_real: -0.015541 Loss_D_fake 0.009483
[743/5000][505/535][76543] Loss_D: -0.024534 Loss_G: 0.017591 Loss_D_real: -0.026459 Loss_D_fake -0.001925
[743/5000][510/535][76544] Loss_D: -0.024118 Loss_G: -0.012061 Loss_D_real: 0.010683 Loss_D_fake 0.034801
[743/5000][515/535][76545] Loss_D: -0.024441 Loss_G: 0.023321 Loss_D_real: -0.032524 Loss_D_fake -0.008083
[743/5000][520/535][76546] Loss_D: -0.024682 Loss_G: -0.000430 Loss_D_real: -0.014047 Loss_D_fake 0.010635
[743/5000][525/535][76547] Loss_D: -0.025579 Loss_G: 0.009657 Loss_D_real: -0.010580 Loss_D_fake 0.014999
[743/5000][530/535][76548] Loss_D: -0.024814 Loss_G: 0.024741 Loss_D_real: -0.031321 Loss_D_fake -0.006507
[743/5000][535/535][76549] Loss_D: -0.023970 Loss_G: 0.027833 Loss_D_real: -0.013291 Loss_D_fake 0.010679
[744/5000][5/535][76550] Loss_D: -0.022713 Loss_G: 0.024724 Loss_D_real: -0.039208 Loss_D_fake -0.016495
[744/5000][10/535][76551] Loss_D: -0.023521 Loss_G: -0.011441 Loss_D_real: -0.004085 Loss_D_fake 0.019436
[744/5000][15/535][76552] Loss_D: -0.023989 Loss_G: 0.016242 Loss_D_real: -0.018556 Loss_D_fake 0.005433
[744/5000][20/535][76553] Loss_D: -0.024181 Loss_G: 0.024486 Loss_D_real: -0.039378 Loss_D_fake -0.015197
[744/5000][25/535][76554] Loss_D: -0.024223 Loss_G: -0.001689 Loss_D_real: 0.001920 Loss_D_fake 0.026143
[744/5000][30/535][76555] Loss_D: -0.022906 Loss_G: 0.025577 Loss_D_real: -0.024330 Loss_D_fake -0.001424
[744/5000][35/535][76556] Loss_D: -0.024952 Loss_G: 0.007793 Loss_D_real: -0.012506 Loss_D_fake 0.012446
[744/5000][40/535][76557] Loss_D: -0.025761 Loss_G: 0.011767 Loss_D_real: -0.014431 Loss_D_fake 0.011330
[744/5000][45/535][76558] Loss_D: -0.021827 Loss_G: -0.011831 Loss_D_real: -0.003837 Loss_D_fake 0.017990
[744/5000][50/535][76559] Loss_D: -0.021728 Loss_G: 0.020452 Loss_D_real: -0.036204 Loss_D_fake -0.014477
[744/5000][55/535][76560] Loss_D: -0.023375 Loss_G: 0.022974 Loss_D_real: -0.021883 Loss_D_fake 0.001492
[744/5000][60/535][76561] Loss_D: -0.023300 Loss_G: 0.000028 Loss_D_real: -0.011159 Loss_D_fake 0.012141
[744/5000][65/535][76562] Loss_D: -0.023034 Loss_G: 0.000440 Loss_D_real: -0.019145 Loss_D_fake 0.003889
[744/5000][70/535][76563] Loss_D: -0.024447 Loss_G: 0.015280 Loss_D_real: -0.010098 Loss_D_fake 0.014348
[744/5000][75/535][76564] Loss_D: -0.023658 Loss_G: 0.007461 Loss_D_real: -0.017583 Loss_D_fake 0.006075
[744/5000][80/535][76565] Loss_D: -0.023968 Loss_G: 0.016609 Loss_D_real: -0.025552 Loss_D_fake -0.001585
[744/5000][85/535][76566] Loss_D: -0.023598 Loss_G: 0.000519 Loss_D_real: -0.007377 Loss_D_fake 0.016221
[744/5000][90/535][76567] Loss_D: -0.024987 Loss_G: 0.016144 Loss_D_real: -0.025016 Loss_D_fake -0.000029
[744/5000][95/535][76568] Loss_D: -0.025242 Loss_G: 0.012682 Loss_D_real: -0.020201 Loss_D_fake 0.005041
[744/5000][100/535][76569] Loss_D: -0.024615 Loss_G: 0.006213 Loss_D_real: -0.017511 Loss_D_fake 0.007104
[744/5000][105/535][76570] Loss_D: -0.022419 Loss_G: 0.027033 Loss_D_real: -0.024987 Loss_D_fake -0.002568
[744/5000][110/535][76571] Loss_D: -0.022310 Loss_G: -0.001098 Loss_D_real: -0.005454 Loss_D_fake 0.016856
[744/5000][115/535][76572] Loss_D: -0.021856 Loss_G: 0.021221 Loss_D_real: -0.027933 Loss_D_fake -0.006077
[744/5000][120/535][76573] Loss_D: -0.024957 Loss_G: -0.000249 Loss_D_real: -0.017540 Loss_D_fake 0.007418
[744/5000][125/535][76574] Loss_D: -0.021476 Loss_G: 0.030350 Loss_D_real: -0.044630 Loss_D_fake -0.023155
[744/5000][130/535][76575] Loss_D: -0.023899 Loss_G: 0.002866 Loss_D_real: -0.016650 Loss_D_fake 0.007250
[744/5000][135/535][76576] Loss_D: -0.023128 Loss_G: 0.008960 Loss_D_real: -0.007922 Loss_D_fake 0.015207
[744/5000][140/535][76577] Loss_D: -0.022748 Loss_G: 0.004824 Loss_D_real: -0.011170 Loss_D_fake 0.011578
[744/5000][145/535][76578] Loss_D: -0.023186 Loss_G: 0.004406 Loss_D_real: -0.012468 Loss_D_fake 0.010718
[744/5000][150/535][76579] Loss_D: -0.024034 Loss_G: 0.008850 Loss_D_real: -0.018044 Loss_D_fake 0.005990
[744/5000][155/535][76580] Loss_D: -0.022717 Loss_G: 0.019203 Loss_D_real: -0.023009 Loss_D_fake -0.000292
[744/5000][160/535][76581] Loss_D: -0.023965 Loss_G: 0.007320 Loss_D_real: -0.012929 Loss_D_fake 0.011036
[744/5000][165/535][76582] Loss_D: -0.024462 Loss_G: 0.014900 Loss_D_real: -0.018506 Loss_D_fake 0.005955
[744/5000][170/535][76583] Loss_D: -0.023549 Loss_G: 0.005710 Loss_D_real: -0.021695 Loss_D_fake 0.001854
[744/5000][175/535][76584] Loss_D: -0.024075 Loss_G: 0.005189 Loss_D_real: -0.023774 Loss_D_fake 0.000301
[744/5000][180/535][76585] Loss_D: -0.023340 Loss_G: 0.006500 Loss_D_real: -0.011136 Loss_D_fake 0.012204
[744/5000][185/535][76586] Loss_D: -0.023314 Loss_G: 0.010297 Loss_D_real: -0.030243 Loss_D_fake -0.006929
[744/5000][190/535][76587] Loss_D: -0.024890 Loss_G: 0.000173 Loss_D_real: -0.010650 Loss_D_fake 0.014240
[744/5000][195/535][76588] Loss_D: -0.022827 Loss_G: 0.005226 Loss_D_real: -0.021683 Loss_D_fake 0.001144
[744/5000][200/535][76589] Loss_D: -0.024205 Loss_G: 0.013070 Loss_D_real: -0.020392 Loss_D_fake 0.003814
[744/5000][205/535][76590] Loss_D: -0.023152 Loss_G: 0.012714 Loss_D_real: -0.022890 Loss_D_fake 0.000263
[744/5000][210/535][76591] Loss_D: -0.023719 Loss_G: 0.025304 Loss_D_real: -0.026787 Loss_D_fake -0.003068
[744/5000][215/535][76592] Loss_D: -0.023799 Loss_G: 0.016109 Loss_D_real: -0.033511 Loss_D_fake -0.009712
[744/5000][220/535][76593] Loss_D: -0.024532 Loss_G: 0.030032 Loss_D_real: -0.030378 Loss_D_fake -0.005846
[744/5000][225/535][76594] Loss_D: -0.025209 Loss_G: -0.009155 Loss_D_real: 0.003208 Loss_D_fake 0.028416
[744/5000][230/535][76595] Loss_D: -0.024618 Loss_G: 0.009987 Loss_D_real: -0.019390 Loss_D_fake 0.005228
[744/5000][235/535][76596] Loss_D: -0.024646 Loss_G: 0.003598 Loss_D_real: -0.016865 Loss_D_fake 0.007780
[744/5000][240/535][76597] Loss_D: -0.024213 Loss_G: 0.004711 Loss_D_real: -0.013192 Loss_D_fake 0.011021
[744/5000][245/535][76598] Loss_D: -0.023542 Loss_G: 0.021764 Loss_D_real: -0.032775 Loss_D_fake -0.009234
[744/5000][250/535][76599] Loss_D: -0.025790 Loss_G: 0.005097 Loss_D_real: -0.008039 Loss_D_fake 0.017751
[744/5000][255/535][76600] Loss_D: -0.024719 Loss_G: -0.010101 Loss_D_real: -0.001486 Loss_D_fake 0.023233
[744/5000][260/535][76601] Loss_D: -0.024340 Loss_G: 0.024933 Loss_D_real: -0.021962 Loss_D_fake 0.002378
[744/5000][265/535][76602] Loss_D: -0.024326 Loss_G: 0.004854 Loss_D_real: -0.017808 Loss_D_fake 0.006518
[744/5000][270/535][76603] Loss_D: -0.024092 Loss_G: 0.012598 Loss_D_real: -0.014266 Loss_D_fake 0.009827
[744/5000][275/535][76604] Loss_D: -0.025259 Loss_G: 0.003593 Loss_D_real: -0.015132 Loss_D_fake 0.010127
[744/5000][280/535][76605] Loss_D: -0.025256 Loss_G: 0.028224 Loss_D_real: -0.026090 Loss_D_fake -0.000834
[744/5000][285/535][76606] Loss_D: -0.023685 Loss_G: 0.013119 Loss_D_real: -0.020060 Loss_D_fake 0.003625
[744/5000][290/535][76607] Loss_D: -0.024851 Loss_G: 0.008244 Loss_D_real: -0.026819 Loss_D_fake -0.001969
[744/5000][295/535][76608] Loss_D: -0.023544 Loss_G: 0.013050 Loss_D_real: -0.027777 Loss_D_fake -0.004233
[744/5000][300/535][76609] Loss_D: -0.024286 Loss_G: 0.021343 Loss_D_real: -0.027863 Loss_D_fake -0.003577
[744/5000][305/535][76610] Loss_D: -0.024210 Loss_G: -0.009246 Loss_D_real: -0.007818 Loss_D_fake 0.016392
[744/5000][310/535][76611] Loss_D: -0.024111 Loss_G: 0.019135 Loss_D_real: -0.017297 Loss_D_fake 0.006815
[744/5000][315/535][76612] Loss_D: -0.022928 Loss_G: 0.001257 Loss_D_real: -0.012141 Loss_D_fake 0.010787
[744/5000][320/535][76613] Loss_D: -0.023863 Loss_G: 0.015458 Loss_D_real: -0.024083 Loss_D_fake -0.000220
[744/5000][325/535][76614] Loss_D: -0.023965 Loss_G: -0.006167 Loss_D_real: -0.017909 Loss_D_fake 0.006056
[744/5000][330/535][76615] Loss_D: -0.023671 Loss_G: 0.008365 Loss_D_real: -0.009992 Loss_D_fake 0.013679
[744/5000][335/535][76616] Loss_D: -0.024768 Loss_G: 0.019798 Loss_D_real: -0.027080 Loss_D_fake -0.002313
[744/5000][340/535][76617] Loss_D: -0.024251 Loss_G: -0.013262 Loss_D_real: 0.000028 Loss_D_fake 0.024280
[744/5000][345/535][76618] Loss_D: -0.022816 Loss_G: 0.013960 Loss_D_real: -0.021632 Loss_D_fake 0.001184
[744/5000][350/535][76619] Loss_D: -0.023624 Loss_G: 0.035783 Loss_D_real: -0.028399 Loss_D_fake -0.004775
[744/5000][355/535][76620] Loss_D: -0.024842 Loss_G: 0.003908 Loss_D_real: -0.011751 Loss_D_fake 0.013091
[744/5000][360/535][76621] Loss_D: -0.024481 Loss_G: 0.011360 Loss_D_real: -0.010070 Loss_D_fake 0.014411
[744/5000][365/535][76622] Loss_D: -0.023967 Loss_G: 0.016726 Loss_D_real: -0.031445 Loss_D_fake -0.007478
[744/5000][370/535][76623] Loss_D: -0.023802 Loss_G: 0.022846 Loss_D_real: -0.027408 Loss_D_fake -0.003606
[744/5000][375/535][76624] Loss_D: -0.024501 Loss_G: 0.003969 Loss_D_real: -0.012675 Loss_D_fake 0.011826
[744/5000][380/535][76625] Loss_D: -0.023161 Loss_G: 0.018219 Loss_D_real: -0.032728 Loss_D_fake -0.009567
[744/5000][385/535][76626] Loss_D: -0.024935 Loss_G: 0.010148 Loss_D_real: -0.023591 Loss_D_fake 0.001344
[744/5000][390/535][76627] Loss_D: -0.023568 Loss_G: 0.026916 Loss_D_real: -0.033523 Loss_D_fake -0.009956
[744/5000][395/535][76628] Loss_D: -0.025347 Loss_G: -0.001974 Loss_D_real: -0.015470 Loss_D_fake 0.009877
[744/5000][400/535][76629] Loss_D: -0.023874 Loss_G: 0.004316 Loss_D_real: -0.023180 Loss_D_fake 0.000694
[744/5000][405/535][76630] Loss_D: -0.023598 Loss_G: 0.005793 Loss_D_real: -0.020450 Loss_D_fake 0.003148
[744/5000][410/535][76631] Loss_D: -0.023270 Loss_G: -0.013941 Loss_D_real: -0.005722 Loss_D_fake 0.017548
[744/5000][415/535][76632] Loss_D: -0.023541 Loss_G: 0.027675 Loss_D_real: -0.032386 Loss_D_fake -0.008846
[744/5000][420/535][76633] Loss_D: -0.024796 Loss_G: 0.021035 Loss_D_real: -0.021539 Loss_D_fake 0.003257
[744/5000][425/535][76634] Loss_D: -0.025382 Loss_G: 0.010397 Loss_D_real: -0.009661 Loss_D_fake 0.015721
[744/5000][430/535][76635] Loss_D: -0.024352 Loss_G: -0.007499 Loss_D_real: -0.005142 Loss_D_fake 0.019210
[744/5000][435/535][76636] Loss_D: -0.024136 Loss_G: 0.013080 Loss_D_real: -0.027123 Loss_D_fake -0.002987
[744/5000][440/535][76637] Loss_D: -0.023545 Loss_G: 0.026672 Loss_D_real: -0.029501 Loss_D_fake -0.005955
[744/5000][445/535][76638] Loss_D: -0.024677 Loss_G: -0.002945 Loss_D_real: -0.016298 Loss_D_fake 0.008379
[744/5000][450/535][76639] Loss_D: -0.024008 Loss_G: -0.010646 Loss_D_real: -0.001617 Loss_D_fake 0.022391
[744/5000][455/535][76640] Loss_D: -0.023487 Loss_G: 0.016365 Loss_D_real: -0.019559 Loss_D_fake 0.003928
[744/5000][460/535][76641] Loss_D: -0.024299 Loss_G: 0.003666 Loss_D_real: -0.013866 Loss_D_fake 0.010433
[744/5000][465/535][76642] Loss_D: -0.024700 Loss_G: 0.019246 Loss_D_real: -0.012091 Loss_D_fake 0.012609
[744/5000][470/535][76643] Loss_D: -0.023690 Loss_G: -0.011764 Loss_D_real: -0.007129 Loss_D_fake 0.016560
[744/5000][475/535][76644] Loss_D: -0.023952 Loss_G: 0.011563 Loss_D_real: -0.009941 Loss_D_fake 0.014011
[744/5000][480/535][76645] Loss_D: -0.022543 Loss_G: 0.023020 Loss_D_real: -0.021527 Loss_D_fake 0.001017
[744/5000][485/535][76646] Loss_D: -0.024839 Loss_G: 0.003812 Loss_D_real: -0.020888 Loss_D_fake 0.003951
[744/5000][490/535][76647] Loss_D: -0.023194 Loss_G: 0.021107 Loss_D_real: -0.024954 Loss_D_fake -0.001760
[744/5000][495/535][76648] Loss_D: -0.024823 Loss_G: 0.008780 Loss_D_real: -0.013184 Loss_D_fake 0.011640
[744/5000][500/535][76649] Loss_D: -0.024401 Loss_G: 0.014819 Loss_D_real: -0.028258 Loss_D_fake -0.003857
[744/5000][505/535][76650] Loss_D: -0.023830 Loss_G: 0.004218 Loss_D_real: -0.014882 Loss_D_fake 0.008948
[744/5000][510/535][76651] Loss_D: -0.023871 Loss_G: 0.015477 Loss_D_real: -0.027362 Loss_D_fake -0.003491
[744/5000][515/535][76652] Loss_D: -0.024371 Loss_G: 0.006911 Loss_D_real: -0.021409 Loss_D_fake 0.002962
[744/5000][520/535][76653] Loss_D: -0.024087 Loss_G: 0.008439 Loss_D_real: -0.024973 Loss_D_fake -0.000886
[744/5000][525/535][76654] Loss_D: -0.023690 Loss_G: -0.001392 Loss_D_real: -0.016177 Loss_D_fake 0.007513
[744/5000][530/535][76655] Loss_D: -0.024962 Loss_G: 0.001210 Loss_D_real: -0.018044 Loss_D_fake 0.006919
[744/5000][535/535][76656] Loss_D: -0.022308 Loss_G: 0.030357 Loss_D_real: -0.022714 Loss_D_fake -0.000406
[745/5000][5/535][76657] Loss_D: -0.024789 Loss_G: 0.017028 Loss_D_real: -0.018713 Loss_D_fake 0.006076
[745/5000][10/535][76658] Loss_D: -0.024118 Loss_G: 0.029712 Loss_D_real: -0.027545 Loss_D_fake -0.003427
[745/5000][15/535][76659] Loss_D: -0.023868 Loss_G: 0.015736 Loss_D_real: -0.024807 Loss_D_fake -0.000939
[745/5000][20/535][76660] Loss_D: -0.022975 Loss_G: 0.003359 Loss_D_real: -0.015605 Loss_D_fake 0.007371
[745/5000][25/535][76661] Loss_D: -0.023859 Loss_G: 0.010201 Loss_D_real: -0.020784 Loss_D_fake 0.003075
[745/5000][30/535][76662] Loss_D: -0.023909 Loss_G: 0.012935 Loss_D_real: -0.023117 Loss_D_fake 0.000792
[745/5000][35/535][76663] Loss_D: -0.023023 Loss_G: 0.018584 Loss_D_real: -0.029301 Loss_D_fake -0.006278
[745/5000][40/535][76664] Loss_D: -0.024950 Loss_G: 0.006814 Loss_D_real: -0.031803 Loss_D_fake -0.006853
[745/5000][45/535][76665] Loss_D: -0.023704 Loss_G: 0.019089 Loss_D_real: -0.026762 Loss_D_fake -0.003058
[745/5000][50/535][76666] Loss_D: -0.024523 Loss_G: -0.002902 Loss_D_real: -0.015485 Loss_D_fake 0.009038
[745/5000][55/535][76667] Loss_D: -0.023404 Loss_G: 0.023716 Loss_D_real: -0.036243 Loss_D_fake -0.012839
[745/5000][60/535][76668] Loss_D: -0.024815 Loss_G: 0.006955 Loss_D_real: -0.014785 Loss_D_fake 0.010029
[745/5000][65/535][76669] Loss_D: -0.023874 Loss_G: 0.027156 Loss_D_real: -0.036826 Loss_D_fake -0.012952
[745/5000][70/535][76670] Loss_D: -0.023240 Loss_G: -0.014600 Loss_D_real: -0.012988 Loss_D_fake 0.010251
[745/5000][75/535][76671] Loss_D: -0.022772 Loss_G: -0.016965 Loss_D_real: 0.003674 Loss_D_fake 0.026446
[745/5000][80/535][76672] Loss_D: -0.023642 Loss_G: 0.008440 Loss_D_real: -0.024978 Loss_D_fake -0.001336
[745/5000][85/535][76673] Loss_D: -0.023215 Loss_G: -0.001557 Loss_D_real: -0.012947 Loss_D_fake 0.010267
[745/5000][90/535][76674] Loss_D: -0.024129 Loss_G: 0.030917 Loss_D_real: -0.033891 Loss_D_fake -0.009761
[745/5000][95/535][76675] Loss_D: -0.023968 Loss_G: -0.000390 Loss_D_real: -0.013689 Loss_D_fake 0.010279
[745/5000][100/535][76676] Loss_D: -0.023600 Loss_G: 0.014499 Loss_D_real: -0.013606 Loss_D_fake 0.009994
[745/5000][105/535][76677] Loss_D: -0.024031 Loss_G: 0.020902 Loss_D_real: -0.026824 Loss_D_fake -0.002793
[745/5000][110/535][76678] Loss_D: -0.025067 Loss_G: 0.010298 Loss_D_real: -0.013727 Loss_D_fake 0.011339
[745/5000][115/535][76679] Loss_D: -0.023016 Loss_G: -0.001046 Loss_D_real: -0.015261 Loss_D_fake 0.007755
[745/5000][120/535][76680] Loss_D: -0.023956 Loss_G: 0.013014 Loss_D_real: -0.015838 Loss_D_fake 0.008119
[745/5000][125/535][76681] Loss_D: -0.024707 Loss_G: 0.003431 Loss_D_real: -0.014314 Loss_D_fake 0.010393
[745/5000][130/535][76682] Loss_D: -0.021522 Loss_G: 0.024891 Loss_D_real: -0.027616 Loss_D_fake -0.006094
[745/5000][135/535][76683] Loss_D: -0.024145 Loss_G: 0.010448 Loss_D_real: -0.005647 Loss_D_fake 0.018498
[745/5000][140/535][76684] Loss_D: -0.024742 Loss_G: -0.002075 Loss_D_real: -0.017690 Loss_D_fake 0.007052
[745/5000][145/535][76685] Loss_D: -0.023657 Loss_G: 0.004257 Loss_D_real: -0.014126 Loss_D_fake 0.009531
[745/5000][150/535][76686] Loss_D: -0.023992 Loss_G: 0.002914 Loss_D_real: -0.006156 Loss_D_fake 0.017836
[745/5000][155/535][76687] Loss_D: -0.023451 Loss_G: 0.002555 Loss_D_real: -0.015550 Loss_D_fake 0.007902
[745/5000][160/535][76688] Loss_D: -0.025177 Loss_G: 0.028738 Loss_D_real: -0.025786 Loss_D_fake -0.000609
[745/5000][165/535][76689] Loss_D: -0.025376 Loss_G: 0.017502 Loss_D_real: -0.024613 Loss_D_fake 0.000763
[745/5000][170/535][76690] Loss_D: -0.024454 Loss_G: 0.008417 Loss_D_real: -0.018660 Loss_D_fake 0.005794
[745/5000][175/535][76691] Loss_D: -0.023443 Loss_G: 0.003108 Loss_D_real: -0.019451 Loss_D_fake 0.003993
[745/5000][180/535][76692] Loss_D: -0.023735 Loss_G: 0.002270 Loss_D_real: -0.009116 Loss_D_fake 0.014619
[745/5000][185/535][76693] Loss_D: -0.024082 Loss_G: 0.006134 Loss_D_real: -0.018611 Loss_D_fake 0.005471
[745/5000][190/535][76694] Loss_D: -0.023972 Loss_G: 0.003464 Loss_D_real: -0.013550 Loss_D_fake 0.010422
[745/5000][195/535][76695] Loss_D: -0.023593 Loss_G: -0.000002 Loss_D_real: -0.012959 Loss_D_fake 0.010635
[745/5000][200/535][76696] Loss_D: -0.023884 Loss_G: 0.025154 Loss_D_real: -0.033319 Loss_D_fake -0.009435
[745/5000][205/535][76697] Loss_D: -0.024988 Loss_G: 0.022235 Loss_D_real: -0.015513 Loss_D_fake 0.009475
[745/5000][210/535][76698] Loss_D: -0.023931 Loss_G: 0.016603 Loss_D_real: -0.030018 Loss_D_fake -0.006086
[745/5000][215/535][76699] Loss_D: -0.023690 Loss_G: 0.004244 Loss_D_real: -0.008568 Loss_D_fake 0.015122
[745/5000][220/535][76700] Loss_D: -0.023143 Loss_G: -0.000168 Loss_D_real: -0.016940 Loss_D_fake 0.006203
[745/5000][225/535][76701] Loss_D: -0.024137 Loss_G: 0.013081 Loss_D_real: -0.043038 Loss_D_fake -0.018902
[745/5000][230/535][76702] Loss_D: -0.021744 Loss_G: 0.029479 Loss_D_real: -0.038343 Loss_D_fake -0.016599
[745/5000][235/535][76703] Loss_D: -0.022889 Loss_G: 0.020001 Loss_D_real: -0.022286 Loss_D_fake 0.000602
[745/5000][240/535][76704] Loss_D: -0.024293 Loss_G: -0.001922 Loss_D_real: -0.011649 Loss_D_fake 0.012643
[745/5000][245/535][76705] Loss_D: -0.023242 Loss_G: 0.011972 Loss_D_real: -0.026228 Loss_D_fake -0.002986
[745/5000][250/535][76706] Loss_D: -0.023079 Loss_G: -0.000198 Loss_D_real: -0.016486 Loss_D_fake 0.006593
[745/5000][255/535][76707] Loss_D: -0.024744 Loss_G: 0.009297 Loss_D_real: -0.014767 Loss_D_fake 0.009977
[745/5000][260/535][76708] Loss_D: -0.024246 Loss_G: 0.021576 Loss_D_real: -0.023305 Loss_D_fake 0.000941
[745/5000][265/535][76709] Loss_D: -0.023158 Loss_G: 0.023771 Loss_D_real: -0.025548 Loss_D_fake -0.002390
[745/5000][270/535][76710] Loss_D: -0.022919 Loss_G: 0.011156 Loss_D_real: -0.012825 Loss_D_fake 0.010094
[745/5000][275/535][76711] Loss_D: -0.023175 Loss_G: -0.001712 Loss_D_real: -0.010316 Loss_D_fake 0.012859
[745/5000][280/535][76712] Loss_D: -0.023264 Loss_G: 0.020194 Loss_D_real: -0.026916 Loss_D_fake -0.003652
[745/5000][285/535][76713] Loss_D: -0.025819 Loss_G: 0.022776 Loss_D_real: -0.024149 Loss_D_fake 0.001670
[745/5000][290/535][76714] Loss_D: -0.024729 Loss_G: -0.001508 Loss_D_real: -0.007974 Loss_D_fake 0.016754
[745/5000][295/535][76715] Loss_D: -0.025294 Loss_G: 0.031925 Loss_D_real: -0.040916 Loss_D_fake -0.015622
[745/5000][300/535][76716] Loss_D: -0.025082 Loss_G: 0.003933 Loss_D_real: -0.007060 Loss_D_fake 0.018022
[745/5000][305/535][76717] Loss_D: -0.024691 Loss_G: -0.005964 Loss_D_real: -0.009060 Loss_D_fake 0.015631
[745/5000][310/535][76718] Loss_D: -0.023970 Loss_G: -0.000387 Loss_D_real: -0.021573 Loss_D_fake 0.002397
[745/5000][315/535][76719] Loss_D: -0.024718 Loss_G: 0.005599 Loss_D_real: -0.014132 Loss_D_fake 0.010586
[745/5000][320/535][76720] Loss_D: -0.025181 Loss_G: 0.029104 Loss_D_real: -0.032756 Loss_D_fake -0.007574
[745/5000][325/535][76721] Loss_D: -0.025471 Loss_G: 0.002063 Loss_D_real: -0.015554 Loss_D_fake 0.009917
[745/5000][330/535][76722] Loss_D: -0.024823 Loss_G: 0.001637 Loss_D_real: -0.013788 Loss_D_fake 0.011035
[745/5000][335/535][76723] Loss_D: -0.024124 Loss_G: -0.010693 Loss_D_real: 0.006083 Loss_D_fake 0.030208
[745/5000][340/535][76724] Loss_D: -0.024502 Loss_G: 0.005520 Loss_D_real: -0.015348 Loss_D_fake 0.009154
[745/5000][345/535][76725] Loss_D: -0.024895 Loss_G: 0.008406 Loss_D_real: -0.015359 Loss_D_fake 0.009536
[745/5000][350/535][76726] Loss_D: -0.023965 Loss_G: 0.021320 Loss_D_real: -0.030703 Loss_D_fake -0.006737
[745/5000][355/535][76727] Loss_D: -0.023498 Loss_G: 0.016031 Loss_D_real: -0.023974 Loss_D_fake -0.000476
[745/5000][360/535][76728] Loss_D: -0.024401 Loss_G: -0.001397 Loss_D_real: -0.006042 Loss_D_fake 0.018358
[745/5000][365/535][76729] Loss_D: -0.024732 Loss_G: 0.019523 Loss_D_real: -0.027982 Loss_D_fake -0.003250
[745/5000][370/535][76730] Loss_D: -0.024298 Loss_G: 0.033388 Loss_D_real: -0.025012 Loss_D_fake -0.000714
[745/5000][375/535][76731] Loss_D: -0.023664 Loss_G: 0.001704 Loss_D_real: -0.020474 Loss_D_fake 0.003190
[745/5000][380/535][76732] Loss_D: -0.024445 Loss_G: -0.001883 Loss_D_real: -0.011399 Loss_D_fake 0.013046
[745/5000][385/535][76733] Loss_D: -0.024426 Loss_G: 0.010584 Loss_D_real: -0.012993 Loss_D_fake 0.011432
[745/5000][390/535][76734] Loss_D: -0.023290 Loss_G: 0.010552 Loss_D_real: -0.022864 Loss_D_fake 0.000426
[745/5000][395/535][76735] Loss_D: -0.024152 Loss_G: 0.002480 Loss_D_real: -0.011355 Loss_D_fake 0.012796
[745/5000][400/535][76736] Loss_D: -0.023776 Loss_G: 0.010118 Loss_D_real: -0.021495 Loss_D_fake 0.002281
[745/5000][405/535][76737] Loss_D: -0.021843 Loss_G: 0.026480 Loss_D_real: -0.028275 Loss_D_fake -0.006432
[745/5000][410/535][76738] Loss_D: -0.023866 Loss_G: 0.017000 Loss_D_real: -0.012645 Loss_D_fake 0.011222
[745/5000][415/535][76739] Loss_D: -0.023730 Loss_G: 0.017649 Loss_D_real: -0.032428 Loss_D_fake -0.008697
[745/5000][420/535][76740] Loss_D: -0.024789 Loss_G: 0.014150 Loss_D_real: -0.029812 Loss_D_fake -0.005023
[745/5000][425/535][76741] Loss_D: -0.024650 Loss_G: -0.009965 Loss_D_real: -0.011284 Loss_D_fake 0.013366
[745/5000][430/535][76742] Loss_D: -0.025005 Loss_G: 0.007103 Loss_D_real: -0.025471 Loss_D_fake -0.000467
[745/5000][435/535][76743] Loss_D: -0.024261 Loss_G: -0.013490 Loss_D_real: -0.004497 Loss_D_fake 0.019764
[745/5000][440/535][76744] Loss_D: -0.023110 Loss_G: 0.017592 Loss_D_real: -0.019275 Loss_D_fake 0.003835
[745/5000][445/535][76745] Loss_D: -0.023362 Loss_G: 0.000385 Loss_D_real: -0.019515 Loss_D_fake 0.003847
[745/5000][450/535][76746] Loss_D: -0.023437 Loss_G: 0.015982 Loss_D_real: -0.022662 Loss_D_fake 0.000776
[745/5000][455/535][76747] Loss_D: -0.023695 Loss_G: 0.000207 Loss_D_real: -0.007682 Loss_D_fake 0.016013
[745/5000][460/535][76748] Loss_D: -0.024240 Loss_G: -0.005266 Loss_D_real: -0.012798 Loss_D_fake 0.011441
[745/5000][465/535][76749] Loss_D: -0.022154 Loss_G: -0.001973 Loss_D_real: -0.024694 Loss_D_fake -0.002540
[745/5000][470/535][76750] Loss_D: -0.024379 Loss_G: 0.017822 Loss_D_real: -0.029342 Loss_D_fake -0.004963
[745/5000][475/535][76751] Loss_D: -0.023743 Loss_G: 0.024597 Loss_D_real: -0.025779 Loss_D_fake -0.002036
[745/5000][480/535][76752] Loss_D: -0.024167 Loss_G: 0.014938 Loss_D_real: -0.020208 Loss_D_fake 0.003959
[745/5000][485/535][76753] Loss_D: -0.023170 Loss_G: 0.011197 Loss_D_real: -0.018495 Loss_D_fake 0.004675
[745/5000][490/535][76754] Loss_D: -0.023217 Loss_G: 0.015952 Loss_D_real: -0.026513 Loss_D_fake -0.003296
[745/5000][495/535][76755] Loss_D: -0.024118 Loss_G: 0.020573 Loss_D_real: -0.026972 Loss_D_fake -0.002854
[745/5000][500/535][76756] Loss_D: -0.023347 Loss_G: 0.020441 Loss_D_real: -0.028733 Loss_D_fake -0.005386
[745/5000][505/535][76757] Loss_D: -0.026062 Loss_G: 0.004619 Loss_D_real: -0.020889 Loss_D_fake 0.005172
[745/5000][510/535][76758] Loss_D: -0.022681 Loss_G: 0.036090 Loss_D_real: -0.031124 Loss_D_fake -0.008443
[745/5000][515/535][76759] Loss_D: -0.024522 Loss_G: -0.000705 Loss_D_real: -0.007546 Loss_D_fake 0.016977
[745/5000][520/535][76760] Loss_D: -0.024769 Loss_G: 0.018350 Loss_D_real: -0.031272 Loss_D_fake -0.006503
[745/5000][525/535][76761] Loss_D: -0.023817 Loss_G: 0.035949 Loss_D_real: -0.038484 Loss_D_fake -0.014667
[745/5000][530/535][76762] Loss_D: -0.024273 Loss_G: 0.017417 Loss_D_real: -0.032067 Loss_D_fake -0.007793
[745/5000][535/535][76763] Loss_D: -0.022930 Loss_G: 0.020389 Loss_D_real: -0.040534 Loss_D_fake -0.017604
[746/5000][5/535][76764] Loss_D: -0.025599 Loss_G: -0.004715 Loss_D_real: -0.023323 Loss_D_fake 0.002276
[746/5000][10/535][76765] Loss_D: -0.024146 Loss_G: 0.025686 Loss_D_real: -0.022314 Loss_D_fake 0.001833
[746/5000][15/535][76766] Loss_D: -0.024645 Loss_G: 0.011231 Loss_D_real: -0.015871 Loss_D_fake 0.008774
[746/5000][20/535][76767] Loss_D: -0.024672 Loss_G: 0.018339 Loss_D_real: -0.032708 Loss_D_fake -0.008036
[746/5000][25/535][76768] Loss_D: -0.024909 Loss_G: 0.001453 Loss_D_real: -0.004536 Loss_D_fake 0.020373
[746/5000][30/535][76769] Loss_D: -0.023704 Loss_G: 0.012024 Loss_D_real: -0.020056 Loss_D_fake 0.003649
[746/5000][35/535][76770] Loss_D: -0.024064 Loss_G: 0.013249 Loss_D_real: -0.018919 Loss_D_fake 0.005145
[746/5000][40/535][76771] Loss_D: -0.024499 Loss_G: 0.010730 Loss_D_real: -0.021803 Loss_D_fake 0.002696
[746/5000][45/535][76772] Loss_D: -0.023945 Loss_G: -0.000124 Loss_D_real: -0.010541 Loss_D_fake 0.013405
[746/5000][50/535][76773] Loss_D: -0.024310 Loss_G: 0.021523 Loss_D_real: -0.025774 Loss_D_fake -0.001464
[746/5000][55/535][76774] Loss_D: -0.025987 Loss_G: 0.014578 Loss_D_real: -0.016241 Loss_D_fake 0.009746
[746/5000][60/535][76775] Loss_D: -0.023911 Loss_G: 0.012088 Loss_D_real: -0.019492 Loss_D_fake 0.004420
[746/5000][65/535][76776] Loss_D: -0.025391 Loss_G: -0.000791 Loss_D_real: -0.019626 Loss_D_fake 0.005765
[746/5000][70/535][76777] Loss_D: -0.023825 Loss_G: 0.008960 Loss_D_real: -0.033892 Loss_D_fake -0.010067
[746/5000][75/535][76778] Loss_D: -0.021860 Loss_G: 0.025027 Loss_D_real: -0.034066 Loss_D_fake -0.012206
[746/5000][80/535][76779] Loss_D: -0.022849 Loss_G: -0.017285 Loss_D_real: -0.003703 Loss_D_fake 0.019146
[746/5000][85/535][76780] Loss_D: -0.022784 Loss_G: 0.027925 Loss_D_real: -0.029178 Loss_D_fake -0.006394
[746/5000][90/535][76781] Loss_D: -0.023764 Loss_G: 0.010068 Loss_D_real: -0.011743 Loss_D_fake 0.012021
[746/5000][95/535][76782] Loss_D: -0.023798 Loss_G: 0.014167 Loss_D_real: -0.016164 Loss_D_fake 0.007634
[746/5000][100/535][76783] Loss_D: -0.022997 Loss_G: 0.019819 Loss_D_real: -0.031893 Loss_D_fake -0.008896
[746/5000][105/535][76784] Loss_D: -0.023676 Loss_G: 0.005994 Loss_D_real: -0.007538 Loss_D_fake 0.016138
[746/5000][110/535][76785] Loss_D: -0.023275 Loss_G: 0.012352 Loss_D_real: -0.016598 Loss_D_fake 0.006678
[746/5000][115/535][76786] Loss_D: -0.022180 Loss_G: -0.009037 Loss_D_real: -0.005310 Loss_D_fake 0.016869
[746/5000][120/535][76787] Loss_D: -0.022203 Loss_G: -0.002179 Loss_D_real: -0.023071 Loss_D_fake -0.000868
[746/5000][125/535][76788] Loss_D: -0.023525 Loss_G: 0.007386 Loss_D_real: -0.026671 Loss_D_fake -0.003147
[746/5000][130/535][76789] Loss_D: -0.022404 Loss_G: 0.024447 Loss_D_real: -0.033799 Loss_D_fake -0.011395
[746/5000][135/535][76790] Loss_D: -0.024709 Loss_G: -0.004623 Loss_D_real: -0.020429 Loss_D_fake 0.004280
[746/5000][140/535][76791] Loss_D: -0.024629 Loss_G: 0.013693 Loss_D_real: -0.019417 Loss_D_fake 0.005212
[746/5000][145/535][76792] Loss_D: -0.022525 Loss_G: 0.017353 Loss_D_real: -0.014866 Loss_D_fake 0.007660
[746/5000][150/535][76793] Loss_D: -0.023031 Loss_G: 0.002094 Loss_D_real: -0.022839 Loss_D_fake 0.000192
[746/5000][155/535][76794] Loss_D: -0.023599 Loss_G: 0.010589 Loss_D_real: -0.018676 Loss_D_fake 0.004923
[746/5000][160/535][76795] Loss_D: -0.022030 Loss_G: 0.026764 Loss_D_real: -0.030673 Loss_D_fake -0.008643
[746/5000][165/535][76796] Loss_D: -0.022643 Loss_G: 0.016436 Loss_D_real: -0.018785 Loss_D_fake 0.003858
[746/5000][170/535][76797] Loss_D: -0.025446 Loss_G: 0.003065 Loss_D_real: -0.014601 Loss_D_fake 0.010844
[746/5000][175/535][76798] Loss_D: -0.022292 Loss_G: 0.024534 Loss_D_real: -0.037769 Loss_D_fake -0.015476
[746/5000][180/535][76799] Loss_D: -0.023821 Loss_G: 0.013094 Loss_D_real: -0.024164 Loss_D_fake -0.000343
[746/5000][185/535][76800] Loss_D: -0.025497 Loss_G: 0.013393 Loss_D_real: -0.017545 Loss_D_fake 0.007952
[746/5000][190/535][76801] Loss_D: -0.025479 Loss_G: 0.013637 Loss_D_real: -0.021772 Loss_D_fake 0.003707
[746/5000][195/535][76802] Loss_D: -0.024343 Loss_G: 0.015531 Loss_D_real: -0.026687 Loss_D_fake -0.002344
[746/5000][200/535][76803] Loss_D: -0.024701 Loss_G: 0.012801 Loss_D_real: -0.028919 Loss_D_fake -0.004219
[746/5000][205/535][76804] Loss_D: -0.024805 Loss_G: 0.005504 Loss_D_real: -0.025136 Loss_D_fake -0.000331
[746/5000][210/535][76805] Loss_D: -0.023553 Loss_G: -0.008057 Loss_D_real: -0.014546 Loss_D_fake 0.009007
[746/5000][215/535][76806] Loss_D: -0.023979 Loss_G: 0.018809 Loss_D_real: -0.015452 Loss_D_fake 0.008527
[746/5000][220/535][76807] Loss_D: -0.024781 Loss_G: -0.006375 Loss_D_real: 0.001829 Loss_D_fake 0.026610
[746/5000][225/535][76808] Loss_D: -0.024397 Loss_G: 0.005158 Loss_D_real: -0.020410 Loss_D_fake 0.003987
[746/5000][230/535][76809] Loss_D: -0.024108 Loss_G: 0.018689 Loss_D_real: -0.014714 Loss_D_fake 0.009394
[746/5000][235/535][76810] Loss_D: -0.023092 Loss_G: 0.013620 Loss_D_real: -0.023904 Loss_D_fake -0.000812
[746/5000][240/535][76811] Loss_D: -0.024794 Loss_G: 0.020918 Loss_D_real: -0.020800 Loss_D_fake 0.003994
[746/5000][245/535][76812] Loss_D: -0.023850 Loss_G: 0.021412 Loss_D_real: -0.017983 Loss_D_fake 0.005867
[746/5000][250/535][76813] Loss_D: -0.024426 Loss_G: 0.000541 Loss_D_real: -0.012873 Loss_D_fake 0.011553
[746/5000][255/535][76814] Loss_D: -0.023653 Loss_G: 0.016189 Loss_D_real: -0.034172 Loss_D_fake -0.010519
[746/5000][260/535][76815] Loss_D: -0.023310 Loss_G: 0.028825 Loss_D_real: -0.019400 Loss_D_fake 0.003910
[746/5000][265/535][76816] Loss_D: -0.023990 Loss_G: -0.007058 Loss_D_real: -0.007828 Loss_D_fake 0.016161
[746/5000][270/535][76817] Loss_D: -0.023028 Loss_G: 0.026382 Loss_D_real: -0.028550 Loss_D_fake -0.005522
[746/5000][275/535][76818] Loss_D: -0.024775 Loss_G: 0.001934 Loss_D_real: -0.012121 Loss_D_fake 0.012655
[746/5000][280/535][76819] Loss_D: -0.024476 Loss_G: 0.013361 Loss_D_real: -0.017403 Loss_D_fake 0.007073
[746/5000][285/535][76820] Loss_D: -0.024612 Loss_G: 0.000123 Loss_D_real: -0.016170 Loss_D_fake 0.008442
[746/5000][290/535][76821] Loss_D: -0.022796 Loss_G: 0.004427 Loss_D_real: -0.023442 Loss_D_fake -0.000647
[746/5000][295/535][76822] Loss_D: -0.023598 Loss_G: -0.008094 Loss_D_real: -0.007276 Loss_D_fake 0.016322
[746/5000][300/535][76823] Loss_D: -0.023575 Loss_G: 0.018470 Loss_D_real: -0.028461 Loss_D_fake -0.004886
[746/5000][305/535][76824] Loss_D: -0.023793 Loss_G: 0.015877 Loss_D_real: -0.027577 Loss_D_fake -0.003784
[746/5000][310/535][76825] Loss_D: -0.024800 Loss_G: 0.025378 Loss_D_real: -0.022305 Loss_D_fake 0.002495
[746/5000][315/535][76826] Loss_D: -0.024642 Loss_G: 0.012539 Loss_D_real: -0.010585 Loss_D_fake 0.014057
[746/5000][320/535][76827] Loss_D: -0.025138 Loss_G: 0.008569 Loss_D_real: -0.022610 Loss_D_fake 0.002528
[746/5000][325/535][76828] Loss_D: -0.023319 Loss_G: 0.009799 Loss_D_real: -0.017870 Loss_D_fake 0.005449
[746/5000][330/535][76829] Loss_D: -0.025414 Loss_G: 0.013586 Loss_D_real: -0.028482 Loss_D_fake -0.003068
[746/5000][335/535][76830] Loss_D: -0.024417 Loss_G: 0.004298 Loss_D_real: -0.012316 Loss_D_fake 0.012101
[746/5000][340/535][76831] Loss_D: -0.023163 Loss_G: 0.012981 Loss_D_real: -0.009556 Loss_D_fake 0.013607
[746/5000][345/535][76832] Loss_D: -0.024173 Loss_G: 0.015580 Loss_D_real: -0.023131 Loss_D_fake 0.001042
[746/5000][350/535][76833] Loss_D: -0.023901 Loss_G: 0.034549 Loss_D_real: -0.027080 Loss_D_fake -0.003179
[746/5000][355/535][76834] Loss_D: -0.023928 Loss_G: 0.012170 Loss_D_real: -0.024807 Loss_D_fake -0.000880
[746/5000][360/535][76835] Loss_D: -0.024559 Loss_G: 0.025443 Loss_D_real: -0.031698 Loss_D_fake -0.007139
[746/5000][365/535][76836] Loss_D: -0.025293 Loss_G: 0.009753 Loss_D_real: -0.012383 Loss_D_fake 0.012910
[746/5000][370/535][76837] Loss_D: -0.025196 Loss_G: 0.014540 Loss_D_real: -0.017760 Loss_D_fake 0.007436
[746/5000][375/535][76838] Loss_D: -0.024447 Loss_G: 0.010171 Loss_D_real: -0.022288 Loss_D_fake 0.002160
[746/5000][380/535][76839] Loss_D: -0.025509 Loss_G: 0.000990 Loss_D_real: -0.010766 Loss_D_fake 0.014742
[746/5000][385/535][76840] Loss_D: -0.024380 Loss_G: 0.029305 Loss_D_real: -0.031360 Loss_D_fake -0.006980
[746/5000][390/535][76841] Loss_D: -0.024537 Loss_G: -0.010884 Loss_D_real: -0.008353 Loss_D_fake 0.016184
[746/5000][395/535][76842] Loss_D: -0.024326 Loss_G: 0.004281 Loss_D_real: -0.019925 Loss_D_fake 0.004401
[746/5000][400/535][76843] Loss_D: -0.023873 Loss_G: 0.011867 Loss_D_real: -0.017844 Loss_D_fake 0.006028
[746/5000][405/535][76844] Loss_D: -0.023506 Loss_G: 0.008862 Loss_D_real: -0.007653 Loss_D_fake 0.015853
[746/5000][410/535][76845] Loss_D: -0.023585 Loss_G: 0.004083 Loss_D_real: -0.024857 Loss_D_fake -0.001272
[746/5000][415/535][76846] Loss_D: -0.022634 Loss_G: 0.029875 Loss_D_real: -0.036947 Loss_D_fake -0.014313
[746/5000][420/535][76847] Loss_D: -0.023273 Loss_G: -0.002312 Loss_D_real: -0.005501 Loss_D_fake 0.017772
[746/5000][425/535][76848] Loss_D: -0.023471 Loss_G: 0.021134 Loss_D_real: -0.020926 Loss_D_fake 0.002545
[746/5000][430/535][76849] Loss_D: -0.024278 Loss_G: -0.006204 Loss_D_real: -0.016893 Loss_D_fake 0.007385
[746/5000][435/535][76850] Loss_D: -0.023087 Loss_G: 0.012321 Loss_D_real: -0.012465 Loss_D_fake 0.010622
[746/5000][440/535][76851] Loss_D: -0.022855 Loss_G: -0.011213 Loss_D_real: -0.000097 Loss_D_fake 0.022758
[746/5000][445/535][76852] Loss_D: -0.022875 Loss_G: 0.019038 Loss_D_real: -0.020659 Loss_D_fake 0.002216
[746/5000][450/535][76853] Loss_D: -0.024185 Loss_G: 0.004742 Loss_D_real: -0.017584 Loss_D_fake 0.006601
[746/5000][455/535][76854] Loss_D: -0.023789 Loss_G: 0.020211 Loss_D_real: -0.022862 Loss_D_fake 0.000927
[746/5000][460/535][76855] Loss_D: -0.023032 Loss_G: 0.009826 Loss_D_real: -0.020505 Loss_D_fake 0.002527
[746/5000][465/535][76856] Loss_D: -0.024521 Loss_G: 0.021529 Loss_D_real: -0.023364 Loss_D_fake 0.001157
[746/5000][470/535][76857] Loss_D: -0.023875 Loss_G: 0.001269 Loss_D_real: -0.016574 Loss_D_fake 0.007301
[746/5000][475/535][76858] Loss_D: -0.024350 Loss_G: 0.009627 Loss_D_real: -0.012133 Loss_D_fake 0.012217
[746/5000][480/535][76859] Loss_D: -0.022939 Loss_G: 0.010666 Loss_D_real: -0.019419 Loss_D_fake 0.003521
[746/5000][485/535][76860] Loss_D: -0.022792 Loss_G: -0.010178 Loss_D_real: -0.006180 Loss_D_fake 0.016612
[746/5000][490/535][76861] Loss_D: -0.024022 Loss_G: 0.015687 Loss_D_real: -0.024418 Loss_D_fake -0.000396
[746/5000][495/535][76862] Loss_D: -0.024607 Loss_G: 0.023146 Loss_D_real: -0.025219 Loss_D_fake -0.000611
[746/5000][500/535][76863] Loss_D: -0.023548 Loss_G: 0.007120 Loss_D_real: -0.026988 Loss_D_fake -0.003440
[746/5000][505/535][76864] Loss_D: -0.023313 Loss_G: -0.013304 Loss_D_real: -0.001894 Loss_D_fake 0.021420
[746/5000][510/535][76865] Loss_D: -0.023586 Loss_G: 0.016628 Loss_D_real: -0.032104 Loss_D_fake -0.008518
[746/5000][515/535][76866] Loss_D: -0.023324 Loss_G: 0.010669 Loss_D_real: -0.009139 Loss_D_fake 0.014185
[746/5000][520/535][76867] Loss_D: -0.024131 Loss_G: 0.009537 Loss_D_real: -0.016308 Loss_D_fake 0.007822
[746/5000][525/535][76868] Loss_D: -0.025229 Loss_G: 0.002966 Loss_D_real: -0.014253 Loss_D_fake 0.010977
[746/5000][530/535][76869] Loss_D: -0.025823 Loss_G: 0.022793 Loss_D_real: -0.016345 Loss_D_fake 0.009478
[746/5000][535/535][76870] Loss_D: -0.023034 Loss_G: 0.039354 Loss_D_real: -0.026234 Loss_D_fake -0.003199
[747/5000][5/535][76871] Loss_D: -0.023164 Loss_G: -0.004167 Loss_D_real: -0.006123 Loss_D_fake 0.017041
[747/5000][10/535][76872] Loss_D: -0.022827 Loss_G: -0.003769 Loss_D_real: -0.011114 Loss_D_fake 0.011713
[747/5000][15/535][76873] Loss_D: -0.024184 Loss_G: 0.005397 Loss_D_real: -0.010833 Loss_D_fake 0.013352
[747/5000][20/535][76874] Loss_D: -0.021637 Loss_G: 0.011743 Loss_D_real: -0.011849 Loss_D_fake 0.009788
[747/5000][25/535][76875] Loss_D: -0.023118 Loss_G: 0.004014 Loss_D_real: -0.016349 Loss_D_fake 0.006770
[747/5000][30/535][76876] Loss_D: -0.022925 Loss_G: 0.005811 Loss_D_real: -0.021676 Loss_D_fake 0.001249
[747/5000][35/535][76877] Loss_D: -0.023443 Loss_G: -0.003350 Loss_D_real: -0.006595 Loss_D_fake 0.016848
[747/5000][40/535][76878] Loss_D: -0.023113 Loss_G: 0.009224 Loss_D_real: -0.010005 Loss_D_fake 0.013108
[747/5000][45/535][76879] Loss_D: -0.024688 Loss_G: 0.008003 Loss_D_real: -0.006427 Loss_D_fake 0.018260
[747/5000][50/535][76880] Loss_D: -0.023024 Loss_G: 0.013419 Loss_D_real: -0.017932 Loss_D_fake 0.005092
[747/5000][55/535][76881] Loss_D: -0.023246 Loss_G: 0.001341 Loss_D_real: -0.013964 Loss_D_fake 0.009282
[747/5000][60/535][76882] Loss_D: -0.023855 Loss_G: 0.015465 Loss_D_real: -0.018515 Loss_D_fake 0.005340
[747/5000][65/535][76883] Loss_D: -0.023975 Loss_G: 0.014113 Loss_D_real: -0.020624 Loss_D_fake 0.003350
[747/5000][70/535][76884] Loss_D: -0.023624 Loss_G: 0.016810 Loss_D_real: -0.017625 Loss_D_fake 0.005999
[747/5000][75/535][76885] Loss_D: -0.022952 Loss_G: 0.016789 Loss_D_real: -0.027725 Loss_D_fake -0.004772
[747/5000][80/535][76886] Loss_D: -0.023928 Loss_G: -0.012901 Loss_D_real: -0.012476 Loss_D_fake 0.011452
[747/5000][85/535][76887] Loss_D: -0.021614 Loss_G: 0.029072 Loss_D_real: -0.040867 Loss_D_fake -0.019253
[747/5000][90/535][76888] Loss_D: -0.023825 Loss_G: 0.003312 Loss_D_real: -0.022477 Loss_D_fake 0.001348
[747/5000][95/535][76889] Loss_D: -0.024848 Loss_G: 0.019230 Loss_D_real: -0.018694 Loss_D_fake 0.006154
[747/5000][100/535][76890] Loss_D: -0.024552 Loss_G: 0.002784 Loss_D_real: -0.013445 Loss_D_fake 0.011108
[747/5000][105/535][76891] Loss_D: -0.024258 Loss_G: -0.011742 Loss_D_real: -0.001443 Loss_D_fake 0.022814
[747/5000][110/535][76892] Loss_D: -0.024836 Loss_G: 0.021118 Loss_D_real: -0.030285 Loss_D_fake -0.005449
[747/5000][115/535][76893] Loss_D: -0.023725 Loss_G: -0.004850 Loss_D_real: -0.010926 Loss_D_fake 0.012799
[747/5000][120/535][76894] Loss_D: -0.023613 Loss_G: 0.007249 Loss_D_real: -0.017191 Loss_D_fake 0.006423
[747/5000][125/535][76895] Loss_D: -0.025241 Loss_G: 0.033149 Loss_D_real: -0.022757 Loss_D_fake 0.002484
[747/5000][130/535][76896] Loss_D: -0.024395 Loss_G: 0.019441 Loss_D_real: -0.019228 Loss_D_fake 0.005168
[747/5000][135/535][76897] Loss_D: -0.024727 Loss_G: 0.014005 Loss_D_real: -0.023011 Loss_D_fake 0.001716
[747/5000][140/535][76898] Loss_D: -0.024732 Loss_G: 0.004734 Loss_D_real: -0.011299 Loss_D_fake 0.013433
[747/5000][145/535][76899] Loss_D: -0.023418 Loss_G: -0.001808 Loss_D_real: -0.014147 Loss_D_fake 0.009271
[747/5000][150/535][76900] Loss_D: -0.024762 Loss_G: 0.006625 Loss_D_real: -0.024534 Loss_D_fake 0.000228
[747/5000][155/535][76901] Loss_D: -0.023317 Loss_G: 0.034694 Loss_D_real: -0.028987 Loss_D_fake -0.005670
[747/5000][160/535][76902] Loss_D: -0.023975 Loss_G: 0.013573 Loss_D_real: -0.021875 Loss_D_fake 0.002100
[747/5000][165/535][76903] Loss_D: -0.022634 Loss_G: -0.011382 Loss_D_real: -0.001414 Loss_D_fake 0.021220
[747/5000][170/535][76904] Loss_D: -0.023435 Loss_G: 0.000172 Loss_D_real: -0.010104 Loss_D_fake 0.013330
[747/5000][175/535][76905] Loss_D: -0.025714 Loss_G: 0.011039 Loss_D_real: -0.022105 Loss_D_fake 0.003609
[747/5000][180/535][76906] Loss_D: -0.024050 Loss_G: 0.017308 Loss_D_real: -0.015281 Loss_D_fake 0.008769
[747/5000][185/535][76907] Loss_D: -0.024716 Loss_G: 0.017517 Loss_D_real: -0.024469 Loss_D_fake 0.000247
[747/5000][190/535][76908] Loss_D: -0.024985 Loss_G: 0.022334 Loss_D_real: -0.032251 Loss_D_fake -0.007266
[747/5000][195/535][76909] Loss_D: -0.024407 Loss_G: 0.007125 Loss_D_real: -0.015298 Loss_D_fake 0.009109
[747/5000][200/535][76910] Loss_D: -0.023912 Loss_G: 0.012071 Loss_D_real: -0.021705 Loss_D_fake 0.002207
[747/5000][205/535][76911] Loss_D: -0.025537 Loss_G: 0.014556 Loss_D_real: -0.021609 Loss_D_fake 0.003928
[747/5000][210/535][76912] Loss_D: -0.024905 Loss_G: 0.009900 Loss_D_real: -0.022630 Loss_D_fake 0.002275
[747/5000][215/535][76913] Loss_D: -0.025719 Loss_G: 0.000465 Loss_D_real: -0.023298 Loss_D_fake 0.002421
[747/5000][220/535][76914] Loss_D: -0.024741 Loss_G: -0.000777 Loss_D_real: -0.008678 Loss_D_fake 0.016063
[747/5000][225/535][76915] Loss_D: -0.025248 Loss_G: 0.016439 Loss_D_real: -0.024105 Loss_D_fake 0.001143
[747/5000][230/535][76916] Loss_D: -0.025654 Loss_G: -0.011674 Loss_D_real: -0.013893 Loss_D_fake 0.011761
[747/5000][235/535][76917] Loss_D: -0.024384 Loss_G: 0.025941 Loss_D_real: -0.026718 Loss_D_fake -0.002335
[747/5000][240/535][76918] Loss_D: -0.025998 Loss_G: -0.000516 Loss_D_real: -0.013595 Loss_D_fake 0.012403
[747/5000][245/535][76919] Loss_D: -0.024542 Loss_G: 0.017745 Loss_D_real: -0.031280 Loss_D_fake -0.006738
[747/5000][250/535][76920] Loss_D: -0.023250 Loss_G: -0.013195 Loss_D_real: -0.002019 Loss_D_fake 0.021231
[747/5000][255/535][76921] Loss_D: -0.023903 Loss_G: -0.005105 Loss_D_real: -0.003051 Loss_D_fake 0.020852
[747/5000][260/535][76922] Loss_D: -0.023765 Loss_G: 0.003371 Loss_D_real: -0.027956 Loss_D_fake -0.004191
[747/5000][265/535][76923] Loss_D: -0.024567 Loss_G: 0.019018 Loss_D_real: -0.010979 Loss_D_fake 0.013588
[747/5000][270/535][76924] Loss_D: -0.023754 Loss_G: 0.017037 Loss_D_real: -0.037020 Loss_D_fake -0.013266
[747/5000][275/535][76925] Loss_D: -0.023440 Loss_G: -0.018650 Loss_D_real: -0.000154 Loss_D_fake 0.023287
[747/5000][280/535][76926] Loss_D: -0.023961 Loss_G: 0.009824 Loss_D_real: -0.013771 Loss_D_fake 0.010190
[747/5000][285/535][76927] Loss_D: -0.025087 Loss_G: 0.027929 Loss_D_real: -0.021082 Loss_D_fake 0.004005
[747/5000][290/535][76928] Loss_D: -0.023032 Loss_G: 0.019624 Loss_D_real: -0.022471 Loss_D_fake 0.000561
[747/5000][295/535][76929] Loss_D: -0.024216 Loss_G: 0.009207 Loss_D_real: -0.017721 Loss_D_fake 0.006495
[747/5000][300/535][76930] Loss_D: -0.024056 Loss_G: 0.017529 Loss_D_real: -0.037560 Loss_D_fake -0.013504
[747/5000][305/535][76931] Loss_D: -0.023884 Loss_G: -0.005525 Loss_D_real: -0.012510 Loss_D_fake 0.011374
[747/5000][310/535][76932] Loss_D: -0.024255 Loss_G: 0.018969 Loss_D_real: -0.020552 Loss_D_fake 0.003703
[747/5000][315/535][76933] Loss_D: -0.023178 Loss_G: 0.023097 Loss_D_real: -0.027126 Loss_D_fake -0.003948
[747/5000][320/535][76934] Loss_D: -0.025028 Loss_G: 0.025353 Loss_D_real: -0.028313 Loss_D_fake -0.003285
[747/5000][325/535][76935] Loss_D: -0.023681 Loss_G: -0.002379 Loss_D_real: -0.002465 Loss_D_fake 0.021217
[747/5000][330/535][76936] Loss_D: -0.024753 Loss_G: 0.021129 Loss_D_real: -0.024999 Loss_D_fake -0.000246
[747/5000][335/535][76937] Loss_D: -0.021511 Loss_G: -0.000679 Loss_D_real: -0.005472 Loss_D_fake 0.016039
[747/5000][340/535][76938] Loss_D: -0.024354 Loss_G: 0.008165 Loss_D_real: -0.023615 Loss_D_fake 0.000739
[747/5000][345/535][76939] Loss_D: -0.023743 Loss_G: 0.011941 Loss_D_real: -0.017390 Loss_D_fake 0.006353
[747/5000][350/535][76940] Loss_D: -0.023531 Loss_G: -0.004120 Loss_D_real: -0.009829 Loss_D_fake 0.013703
[747/5000][355/535][76941] Loss_D: -0.022689 Loss_G: 0.022438 Loss_D_real: -0.025529 Loss_D_fake -0.002840
[747/5000][360/535][76942] Loss_D: -0.022522 Loss_G: -0.011407 Loss_D_real: -0.006064 Loss_D_fake 0.016458
[747/5000][365/535][76943] Loss_D: -0.023580 Loss_G: 0.002802 Loss_D_real: -0.017838 Loss_D_fake 0.005742
[747/5000][370/535][76944] Loss_D: -0.023837 Loss_G: 0.012645 Loss_D_real: -0.024593 Loss_D_fake -0.000756
[747/5000][375/535][76945] Loss_D: -0.023046 Loss_G: 0.031234 Loss_D_real: -0.036651 Loss_D_fake -0.013605
[747/5000][380/535][76946] Loss_D: -0.023339 Loss_G: 0.014803 Loss_D_real: -0.012612 Loss_D_fake 0.010727
[747/5000][385/535][76947] Loss_D: -0.024534 Loss_G: 0.015227 Loss_D_real: -0.018732 Loss_D_fake 0.005802
[747/5000][390/535][76948] Loss_D: -0.024703 Loss_G: -0.001797 Loss_D_real: -0.024493 Loss_D_fake 0.000210
[747/5000][395/535][76949] Loss_D: -0.022586 Loss_G: 0.008913 Loss_D_real: -0.011879 Loss_D_fake 0.010707
[747/5000][400/535][76950] Loss_D: -0.023977 Loss_G: 0.002233 Loss_D_real: -0.020467 Loss_D_fake 0.003510
[747/5000][405/535][76951] Loss_D: -0.023623 Loss_G: 0.007706 Loss_D_real: -0.022417 Loss_D_fake 0.001206
[747/5000][410/535][76952] Loss_D: -0.023505 Loss_G: 0.007777 Loss_D_real: -0.009081 Loss_D_fake 0.014424
[747/5000][415/535][76953] Loss_D: -0.025437 Loss_G: 0.003530 Loss_D_real: -0.016547 Loss_D_fake 0.008890
[747/5000][420/535][76954] Loss_D: -0.025021 Loss_G: 0.006489 Loss_D_real: -0.011293 Loss_D_fake 0.013728
[747/5000][425/535][76955] Loss_D: -0.024132 Loss_G: 0.006304 Loss_D_real: -0.022019 Loss_D_fake 0.002113
[747/5000][430/535][76956] Loss_D: -0.023974 Loss_G: 0.007519 Loss_D_real: -0.013378 Loss_D_fake 0.010596
[747/5000][435/535][76957] Loss_D: -0.024848 Loss_G: 0.002010 Loss_D_real: -0.019367 Loss_D_fake 0.005481
[747/5000][440/535][76958] Loss_D: -0.023947 Loss_G: -0.001589 Loss_D_real: -0.017080 Loss_D_fake 0.006866
[747/5000][445/535][76959] Loss_D: -0.023224 Loss_G: 0.023956 Loss_D_real: -0.025292 Loss_D_fake -0.002068
[747/5000][450/535][76960] Loss_D: -0.022919 Loss_G: 0.011843 Loss_D_real: -0.012643 Loss_D_fake 0.010276
[747/5000][455/535][76961] Loss_D: -0.023201 Loss_G: 0.023865 Loss_D_real: -0.033288 Loss_D_fake -0.010087
[747/5000][460/535][76962] Loss_D: -0.024887 Loss_G: 0.014821 Loss_D_real: -0.020251 Loss_D_fake 0.004636
[747/5000][465/535][76963] Loss_D: -0.024465 Loss_G: 0.005148 Loss_D_real: -0.015131 Loss_D_fake 0.009333
[747/5000][470/535][76964] Loss_D: -0.023422 Loss_G: 0.017458 Loss_D_real: -0.032615 Loss_D_fake -0.009194
[747/5000][475/535][76965] Loss_D: -0.023522 Loss_G: 0.005097 Loss_D_real: -0.008973 Loss_D_fake 0.014549
[747/5000][480/535][76966] Loss_D: -0.022676 Loss_G: 0.004869 Loss_D_real: -0.016532 Loss_D_fake 0.006144
[747/5000][485/535][76967] Loss_D: -0.022052 Loss_G: 0.024341 Loss_D_real: -0.027857 Loss_D_fake -0.005805
[747/5000][490/535][76968] Loss_D: -0.022974 Loss_G: -0.015264 Loss_D_real: -0.004677 Loss_D_fake 0.018297
[747/5000][495/535][76969] Loss_D: -0.023329 Loss_G: 0.006434 Loss_D_real: -0.015149 Loss_D_fake 0.008180
[747/5000][500/535][76970] Loss_D: -0.022992 Loss_G: 0.001098 Loss_D_real: -0.016777 Loss_D_fake 0.006214
[747/5000][505/535][76971] Loss_D: -0.024095 Loss_G: 0.024320 Loss_D_real: -0.020670 Loss_D_fake 0.003424
[747/5000][510/535][76972] Loss_D: -0.023512 Loss_G: -0.003029 Loss_D_real: -0.002828 Loss_D_fake 0.020684
[747/5000][515/535][76973] Loss_D: -0.023177 Loss_G: 0.009679 Loss_D_real: -0.017057 Loss_D_fake 0.006120
[747/5000][520/535][76974] Loss_D: -0.023765 Loss_G: 0.006960 Loss_D_real: -0.016614 Loss_D_fake 0.007151
[747/5000][525/535][76975] Loss_D: -0.024280 Loss_G: 0.011523 Loss_D_real: -0.016980 Loss_D_fake 0.007300
[747/5000][530/535][76976] Loss_D: -0.024338 Loss_G: 0.011061 Loss_D_real: -0.023249 Loss_D_fake 0.001089
[747/5000][535/535][76977] Loss_D: -0.023830 Loss_G: -0.008735 Loss_D_real: 0.005211 Loss_D_fake 0.029041
[748/5000][5/535][76978] Loss_D: -0.022585 Loss_G: -0.015608 Loss_D_real: -0.003253 Loss_D_fake 0.019332
[748/5000][10/535][76979] Loss_D: -0.024833 Loss_G: 0.007402 Loss_D_real: -0.019582 Loss_D_fake 0.005250
[748/5000][15/535][76980] Loss_D: -0.023907 Loss_G: 0.001057 Loss_D_real: -0.007253 Loss_D_fake 0.016654
[748/5000][20/535][76981] Loss_D: -0.022634 Loss_G: 0.019427 Loss_D_real: -0.034106 Loss_D_fake -0.011472
[748/5000][25/535][76982] Loss_D: -0.024908 Loss_G: 0.003359 Loss_D_real: -0.012489 Loss_D_fake 0.012419
[748/5000][30/535][76983] Loss_D: -0.023513 Loss_G: 0.009250 Loss_D_real: -0.027481 Loss_D_fake -0.003968
[748/5000][35/535][76984] Loss_D: -0.025008 Loss_G: 0.009659 Loss_D_real: -0.017680 Loss_D_fake 0.007329
[748/5000][40/535][76985] Loss_D: -0.024713 Loss_G: 0.014327 Loss_D_real: -0.021509 Loss_D_fake 0.003204
[748/5000][45/535][76986] Loss_D: -0.023806 Loss_G: 0.019920 Loss_D_real: -0.029912 Loss_D_fake -0.006106
[748/5000][50/535][76987] Loss_D: -0.023904 Loss_G: 0.012114 Loss_D_real: -0.017437 Loss_D_fake 0.006466
[748/5000][55/535][76988] Loss_D: -0.024092 Loss_G: -0.008664 Loss_D_real: -0.003852 Loss_D_fake 0.020240
[748/5000][60/535][76989] Loss_D: -0.024038 Loss_G: 0.023492 Loss_D_real: -0.027663 Loss_D_fake -0.003624
[748/5000][65/535][76990] Loss_D: -0.024337 Loss_G: 0.016113 Loss_D_real: -0.020653 Loss_D_fake 0.003684
[748/5000][70/535][76991] Loss_D: -0.024424 Loss_G: -0.008713 Loss_D_real: -0.013610 Loss_D_fake 0.010815
[748/5000][75/535][76992] Loss_D: -0.024131 Loss_G: 0.001971 Loss_D_real: -0.011900 Loss_D_fake 0.012231
[748/5000][80/535][76993] Loss_D: -0.024940 Loss_G: 0.022888 Loss_D_real: -0.013144 Loss_D_fake 0.011796
[748/5000][85/535][76994] Loss_D: -0.023447 Loss_G: 0.023052 Loss_D_real: -0.030915 Loss_D_fake -0.007467
[748/5000][90/535][76995] Loss_D: -0.023433 Loss_G: 0.012668 Loss_D_real: -0.026573 Loss_D_fake -0.003140
[748/5000][95/535][76996] Loss_D: -0.024591 Loss_G: 0.014052 Loss_D_real: -0.023453 Loss_D_fake 0.001138
[748/5000][100/535][76997] Loss_D: -0.023481 Loss_G: 0.015507 Loss_D_real: -0.018934 Loss_D_fake 0.004547
[748/5000][105/535][76998] Loss_D: -0.023287 Loss_G: 0.014483 Loss_D_real: -0.018317 Loss_D_fake 0.004970
[748/5000][110/535][76999] Loss_D: -0.023718 Loss_G: -0.002417 Loss_D_real: -0.010640 Loss_D_fake 0.013078
[748/5000][115/535][77000] Loss_D: -0.021913 Loss_G: 0.022314 Loss_D_real: -0.030620 Loss_D_fake -0.008707
[748/5000][215/535][77001] Loss_D: -0.025271 Loss_G: 0.005919 Loss_D_real: -0.006811 Loss_D_fake 0.018461
[748/5000][220/535][77002] Loss_D: -0.022952 Loss_G: 0.015192 Loss_D_real: -0.021144 Loss_D_fake 0.001808
[748/5000][225/535][77003] Loss_D: -0.022413 Loss_G: 0.020027 Loss_D_real: -0.023605 Loss_D_fake -0.001192
[748/5000][230/535][77004] Loss_D: -0.023111 Loss_G: 0.012771 Loss_D_real: -0.029621 Loss_D_fake -0.006510
[748/5000][235/535][77005] Loss_D: -0.023578 Loss_G: 0.006349 Loss_D_real: -0.020939 Loss_D_fake 0.002639
[748/5000][240/535][77006] Loss_D: -0.023929 Loss_G: 0.015936 Loss_D_real: -0.020290 Loss_D_fake 0.003639
[748/5000][245/535][77007] Loss_D: -0.022845 Loss_G: 0.002641 Loss_D_real: -0.015213 Loss_D_fake 0.007632
[748/5000][250/535][77008] Loss_D: -0.023027 Loss_G: 0.012048 Loss_D_real: -0.012917 Loss_D_fake 0.010110
[748/5000][255/535][77009] Loss_D: -0.024478 Loss_G: 0.018822 Loss_D_real: -0.017335 Loss_D_fake 0.007142
[748/5000][260/535][77010] Loss_D: -0.024041 Loss_G: -0.009476 Loss_D_real: -0.009521 Loss_D_fake 0.014520
[748/5000][265/535][77011] Loss_D: -0.023625 Loss_G: -0.002119 Loss_D_real: -0.011864 Loss_D_fake 0.011761
[748/5000][270/535][77012] Loss_D: -0.023179 Loss_G: 0.008094 Loss_D_real: -0.017612 Loss_D_fake 0.005566
[748/5000][275/535][77013] Loss_D: -0.024091 Loss_G: 0.001738 Loss_D_real: -0.018545 Loss_D_fake 0.005547
[748/5000][280/535][77014] Loss_D: -0.022858 Loss_G: 0.026371 Loss_D_real: -0.031082 Loss_D_fake -0.008224
[748/5000][285/535][77015] Loss_D: -0.023827 Loss_G: -0.001183 Loss_D_real: 0.000632 Loss_D_fake 0.024459
[748/5000][290/535][77016] Loss_D: -0.023013 Loss_G: 0.001566 Loss_D_real: -0.028512 Loss_D_fake -0.005499
[748/5000][295/535][77017] Loss_D: -0.023130 Loss_G: -0.003114 Loss_D_real: -0.030018 Loss_D_fake -0.006888
[748/5000][300/535][77018] Loss_D: -0.024207 Loss_G: 0.007273 Loss_D_real: -0.013548 Loss_D_fake 0.010659
[748/5000][305/535][77019] Loss_D: -0.024024 Loss_G: 0.003052 Loss_D_real: -0.023314 Loss_D_fake 0.000710
[748/5000][310/535][77020] Loss_D: -0.022505 Loss_G: 0.013463 Loss_D_real: -0.024184 Loss_D_fake -0.001679
[748/5000][315/535][77021] Loss_D: -0.023443 Loss_G: 0.015594 Loss_D_real: -0.018958 Loss_D_fake 0.004485
[748/5000][320/535][77022] Loss_D: -0.023877 Loss_G: 0.003150 Loss_D_real: -0.006177 Loss_D_fake 0.017700
[748/5000][325/535][77023] Loss_D: -0.023264 Loss_G: 0.005031 Loss_D_real: -0.010187 Loss_D_fake 0.013077
[748/5000][330/535][77024] Loss_D: -0.023679 Loss_G: 0.000453 Loss_D_real: -0.015487 Loss_D_fake 0.008192
[748/5000][335/535][77025] Loss_D: -0.021485 Loss_G: 0.022054 Loss_D_real: -0.029808 Loss_D_fake -0.008323
[748/5000][340/535][77026] Loss_D: -0.023430 Loss_G: 0.023971 Loss_D_real: -0.030423 Loss_D_fake -0.006993
[748/5000][345/535][77027] Loss_D: -0.024686 Loss_G: 0.019251 Loss_D_real: -0.032697 Loss_D_fake -0.008011
[748/5000][350/535][77028] Loss_D: -0.023519 Loss_G: 0.012834 Loss_D_real: -0.025686 Loss_D_fake -0.002167
[748/5000][355/535][77029] Loss_D: -0.022183 Loss_G: 0.018897 Loss_D_real: -0.034604 Loss_D_fake -0.012421
[748/5000][360/535][77030] Loss_D: -0.024114 Loss_G: 0.012400 Loss_D_real: -0.028727 Loss_D_fake -0.004613
[748/5000][365/535][77031] Loss_D: -0.023809 Loss_G: -0.011575 Loss_D_real: -0.015722 Loss_D_fake 0.008087
[748/5000][370/535][77032] Loss_D: -0.023253 Loss_G: 0.017219 Loss_D_real: -0.029617 Loss_D_fake -0.006364
[748/5000][375/535][77033] Loss_D: -0.024452 Loss_G: 0.030117 Loss_D_real: -0.034615 Loss_D_fake -0.010163
[748/5000][380/535][77034] Loss_D: -0.024648 Loss_G: 0.000152 Loss_D_real: -0.000473 Loss_D_fake 0.024174
[748/5000][385/535][77035] Loss_D: -0.025804 Loss_G: 0.010884 Loss_D_real: -0.021156 Loss_D_fake 0.004648
[748/5000][390/535][77036] Loss_D: -0.025046 Loss_G: -0.018636 Loss_D_real: 0.006677 Loss_D_fake 0.031723
[748/5000][395/535][77037] Loss_D: -0.023427 Loss_G: 0.012193 Loss_D_real: -0.011981 Loss_D_fake 0.011446
[748/5000][400/535][77038] Loss_D: -0.025546 Loss_G: 0.012628 Loss_D_real: -0.032153 Loss_D_fake -0.006607
[748/5000][405/535][77039] Loss_D: -0.024332 Loss_G: -0.009366 Loss_D_real: -0.005111 Loss_D_fake 0.019221
[748/5000][410/535][77040] Loss_D: -0.023772 Loss_G: 0.017308 Loss_D_real: -0.034561 Loss_D_fake -0.010789
[748/5000][415/535][77041] Loss_D: -0.022759 Loss_G: -0.015555 Loss_D_real: 0.008369 Loss_D_fake 0.031127
[748/5000][420/535][77042] Loss_D: -0.023251 Loss_G: 0.018328 Loss_D_real: -0.026417 Loss_D_fake -0.003165
[748/5000][425/535][77043] Loss_D: -0.024812 Loss_G: 0.017152 Loss_D_real: -0.017705 Loss_D_fake 0.007107
[748/5000][430/535][77044] Loss_D: -0.023286 Loss_G: -0.004799 Loss_D_real: -0.007218 Loss_D_fake 0.016067
[748/5000][435/535][77045] Loss_D: -0.023701 Loss_G: 0.009562 Loss_D_real: -0.026293 Loss_D_fake -0.002592
[748/5000][440/535][77046] Loss_D: -0.024399 Loss_G: 0.002866 Loss_D_real: -0.009455 Loss_D_fake 0.014943
[748/5000][445/535][77047] Loss_D: -0.025358 Loss_G: -0.003833 Loss_D_real: -0.020350 Loss_D_fake 0.005008
[748/5000][450/535][77048] Loss_D: -0.024539 Loss_G: 0.008932 Loss_D_real: -0.012185 Loss_D_fake 0.012353
[748/5000][455/535][77049] Loss_D: -0.024435 Loss_G: 0.027854 Loss_D_real: -0.026445 Loss_D_fake -0.002010
[748/5000][460/535][77050] Loss_D: -0.023781 Loss_G: 0.020152 Loss_D_real: -0.025635 Loss_D_fake -0.001854
[748/5000][465/535][77051] Loss_D: -0.024448 Loss_G: 0.018765 Loss_D_real: -0.020389 Loss_D_fake 0.004059
[748/5000][470/535][77052] Loss_D: -0.025358 Loss_G: 0.009410 Loss_D_real: -0.021931 Loss_D_fake 0.003427
[748/5000][475/535][77053] Loss_D: -0.025282 Loss_G: -0.014366 Loss_D_real: -0.004733 Loss_D_fake 0.020549
[748/5000][480/535][77054] Loss_D: -0.024462 Loss_G: 0.021933 Loss_D_real: -0.024501 Loss_D_fake -0.000039
[748/5000][485/535][77055] Loss_D: -0.023830 Loss_G: 0.022042 Loss_D_real: -0.021830 Loss_D_fake 0.001999
[748/5000][490/535][77056] Loss_D: -0.023966 Loss_G: -0.008891 Loss_D_real: -0.012863 Loss_D_fake 0.011103
[748/5000][495/535][77057] Loss_D: -0.024659 Loss_G: 0.007992 Loss_D_real: -0.021016 Loss_D_fake 0.003643
[748/5000][500/535][77058] Loss_D: -0.023736 Loss_G: 0.004051 Loss_D_real: -0.006110 Loss_D_fake 0.017626
[748/5000][505/535][77059] Loss_D: -0.024881 Loss_G: 0.024907 Loss_D_real: -0.021385 Loss_D_fake 0.003497
[748/5000][510/535][77060] Loss_D: -0.023672 Loss_G: 0.023201 Loss_D_real: -0.038677 Loss_D_fake -0.015005
[748/5000][515/535][77061] Loss_D: -0.024312 Loss_G: 0.009921 Loss_D_real: -0.022608 Loss_D_fake 0.001704
[748/5000][520/535][77062] Loss_D: -0.024799 Loss_G: 0.012692 Loss_D_real: -0.023431 Loss_D_fake 0.001368
[748/5000][525/535][77063] Loss_D: -0.023577 Loss_G: 0.009755 Loss_D_real: -0.017373 Loss_D_fake 0.006204
[748/5000][530/535][77064] Loss_D: -0.023012 Loss_G: 0.027040 Loss_D_real: -0.028132 Loss_D_fake -0.005120
[748/5000][535/535][77065] Loss_D: -0.022690 Loss_G: -0.008216 Loss_D_real: -0.030155 Loss_D_fake -0.007465
[749/5000][5/535][77066] Loss_D: -0.024660 Loss_G: -0.018685 Loss_D_real: -0.004723 Loss_D_fake 0.019938
[749/5000][10/535][77067] Loss_D: -0.021769 Loss_G: 0.024619 Loss_D_real: -0.027634 Loss_D_fake -0.005865
[749/5000][15/535][77068] Loss_D: -0.021686 Loss_G: 0.007874 Loss_D_real: -0.012086 Loss_D_fake 0.009600
[749/5000][20/535][77069] Loss_D: -0.022676 Loss_G: 0.004233 Loss_D_real: -0.011614 Loss_D_fake 0.011062
[749/5000][25/535][77070] Loss_D: -0.023561 Loss_G: 0.024726 Loss_D_real: -0.023480 Loss_D_fake 0.000081
[749/5000][30/535][77071] Loss_D: -0.023712 Loss_G: 0.024045 Loss_D_real: -0.019755 Loss_D_fake 0.003958
[749/5000][35/535][77072] Loss_D: -0.022082 Loss_G: 0.012235 Loss_D_real: -0.013376 Loss_D_fake 0.008706
[749/5000][40/535][77073] Loss_D: -0.022841 Loss_G: 0.011599 Loss_D_real: -0.023720 Loss_D_fake -0.000879
[749/5000][45/535][77074] Loss_D: -0.023246 Loss_G: 0.015844 Loss_D_real: -0.018067 Loss_D_fake 0.005179
[749/5000][50/535][77075] Loss_D: -0.021823 Loss_G: -0.012868 Loss_D_real: -0.000207 Loss_D_fake 0.021616
[749/5000][55/535][77076] Loss_D: -0.024859 Loss_G: 0.019622 Loss_D_real: -0.027969 Loss_D_fake -0.003110
[749/5000][60/535][77077] Loss_D: -0.023598 Loss_G: 0.002538 Loss_D_real: -0.010235 Loss_D_fake 0.013362
[749/5000][65/535][77078] Loss_D: -0.023648 Loss_G: 0.011612 Loss_D_real: -0.027776 Loss_D_fake -0.004128
[749/5000][70/535][77079] Loss_D: -0.023507 Loss_G: 0.012601 Loss_D_real: -0.019101 Loss_D_fake 0.004407
[749/5000][75/535][77080] Loss_D: -0.022077 Loss_G: 0.013682 Loss_D_real: -0.022830 Loss_D_fake -0.000753
[749/5000][80/535][77081] Loss_D: -0.024202 Loss_G: 0.007406 Loss_D_real: -0.012177 Loss_D_fake 0.012025
[749/5000][85/535][77082] Loss_D: -0.022230 Loss_G: 0.015117 Loss_D_real: -0.032878 Loss_D_fake -0.010648
[749/5000][90/535][77083] Loss_D: -0.023992 Loss_G: 0.016048 Loss_D_real: -0.022044 Loss_D_fake 0.001948
[749/5000][95/535][77084] Loss_D: -0.023956 Loss_G: 0.004309 Loss_D_real: -0.007244 Loss_D_fake 0.016712
[749/5000][100/535][77085] Loss_D: -0.024409 Loss_G: 0.020954 Loss_D_real: -0.027898 Loss_D_fake -0.003488
[749/5000][105/535][77086] Loss_D: -0.024438 Loss_G: 0.008988 Loss_D_real: -0.026822 Loss_D_fake -0.002385
[749/5000][110/535][77087] Loss_D: -0.023118 Loss_G: 0.003746 Loss_D_real: -0.020665 Loss_D_fake 0.002453
[749/5000][115/535][77088] Loss_D: -0.023616 Loss_G: 0.005265 Loss_D_real: -0.018020 Loss_D_fake 0.005596
[749/5000][120/535][77089] Loss_D: -0.022034 Loss_G: 0.033218 Loss_D_real: -0.032040 Loss_D_fake -0.010006
[749/5000][125/535][77090] Loss_D: -0.023183 Loss_G: -0.004650 Loss_D_real: -0.001221 Loss_D_fake 0.021962
[749/5000][130/535][77091] Loss_D: -0.022380 Loss_G: 0.001810 Loss_D_real: -0.013954 Loss_D_fake 0.008426
[749/5000][135/535][77092] Loss_D: -0.022495 Loss_G: 0.013866 Loss_D_real: -0.025564 Loss_D_fake -0.003068
[749/5000][140/535][77093] Loss_D: -0.024994 Loss_G: 0.022501 Loss_D_real: -0.025641 Loss_D_fake -0.000647
[749/5000][145/535][77094] Loss_D: -0.022395 Loss_G: -0.001842 Loss_D_real: -0.011190 Loss_D_fake 0.011205
[749/5000][150/535][77095] Loss_D: -0.022668 Loss_G: -0.004545 Loss_D_real: -0.007159 Loss_D_fake 0.015508
[749/5000][155/535][77096] Loss_D: -0.023696 Loss_G: 0.014680 Loss_D_real: -0.034304 Loss_D_fake -0.010608
[749/5000][160/535][77097] Loss_D: -0.022622 Loss_G: -0.014221 Loss_D_real: 0.002840 Loss_D_fake 0.025462
[749/5000][165/535][77098] Loss_D: -0.024362 Loss_G: 0.015253 Loss_D_real: -0.026942 Loss_D_fake -0.002580
[749/5000][170/535][77099] Loss_D: -0.024875 Loss_G: 0.027063 Loss_D_real: -0.034238 Loss_D_fake -0.009362
[749/5000][175/535][77100] Loss_D: -0.023989 Loss_G: 0.003450 Loss_D_real: -0.014306 Loss_D_fake 0.009683
[749/5000][180/535][77101] Loss_D: -0.025141 Loss_G: 0.006269 Loss_D_real: -0.014292 Loss_D_fake 0.010850
[749/5000][185/535][77102] Loss_D: -0.024756 Loss_G: 0.031938 Loss_D_real: -0.030221 Loss_D_fake -0.005465
[749/5000][190/535][77103] Loss_D: -0.026270 Loss_G: -0.001895 Loss_D_real: -0.009277 Loss_D_fake 0.016993
[749/5000][195/535][77104] Loss_D: -0.024492 Loss_G: 0.003627 Loss_D_real: -0.018556 Loss_D_fake 0.005936
[749/5000][200/535][77105] Loss_D: -0.023734 Loss_G: 0.001191 Loss_D_real: -0.021602 Loss_D_fake 0.002132
[749/5000][205/535][77106] Loss_D: -0.025027 Loss_G: -0.001983 Loss_D_real: -0.014890 Loss_D_fake 0.010137
[749/5000][210/535][77107] Loss_D: -0.023304 Loss_G: 0.004665 Loss_D_real: -0.012247 Loss_D_fake 0.011057
[749/5000][215/535][77108] Loss_D: -0.023957 Loss_G: -0.001357 Loss_D_real: -0.010339 Loss_D_fake 0.013618
[749/5000][220/535][77109] Loss_D: -0.023888 Loss_G: 0.021295 Loss_D_real: -0.023676 Loss_D_fake 0.000212
[749/5000][225/535][77110] Loss_D: -0.024386 Loss_G: -0.010018 Loss_D_real: -0.001911 Loss_D_fake 0.022475
[749/5000][230/535][77111] Loss_D: -0.022297 Loss_G: 0.024528 Loss_D_real: -0.027789 Loss_D_fake -0.005492
[749/5000][235/535][77112] Loss_D: -0.024468 Loss_G: 0.002855 Loss_D_real: -0.024013 Loss_D_fake 0.000455
[749/5000][240/535][77113] Loss_D: -0.023991 Loss_G: 0.000314 Loss_D_real: -0.010484 Loss_D_fake 0.013507
[749/5000][245/535][77114] Loss_D: -0.023465 Loss_G: 0.017721 Loss_D_real: -0.026971 Loss_D_fake -0.003506
[749/5000][250/535][77115] Loss_D: -0.022768 Loss_G: -0.011183 Loss_D_real: -0.000851 Loss_D_fake 0.021917
[749/5000][255/535][77116] Loss_D: -0.025125 Loss_G: 0.010815 Loss_D_real: -0.015608 Loss_D_fake 0.009517
[749/5000][260/535][77117] Loss_D: -0.022960 Loss_G: 0.016649 Loss_D_real: -0.021826 Loss_D_fake 0.001134
[749/5000][265/535][77118] Loss_D: -0.024356 Loss_G: -0.006748 Loss_D_real: -0.017846 Loss_D_fake 0.006510
[749/5000][270/535][77119] Loss_D: -0.023114 Loss_G: -0.001729 Loss_D_real: 0.000485 Loss_D_fake 0.023599
[749/5000][275/535][77120] Loss_D: -0.023613 Loss_G: 0.009725 Loss_D_real: -0.018489 Loss_D_fake 0.005124
[749/5000][280/535][77121] Loss_D: -0.023877 Loss_G: 0.010320 Loss_D_real: -0.023346 Loss_D_fake 0.000531
[749/5000][285/535][77122] Loss_D: -0.023102 Loss_G: -0.020366 Loss_D_real: 0.002132 Loss_D_fake 0.025234
[749/5000][290/535][77123] Loss_D: -0.023578 Loss_G: 0.018192 Loss_D_real: -0.023328 Loss_D_fake 0.000250
[749/5000][295/535][77124] Loss_D: -0.023696 Loss_G: 0.003516 Loss_D_real: -0.009522 Loss_D_fake 0.014175
[749/5000][300/535][77125] Loss_D: -0.022093 Loss_G: 0.024680 Loss_D_real: -0.036447 Loss_D_fake -0.014354
[749/5000][305/535][77126] Loss_D: -0.024062 Loss_G: 0.009834 Loss_D_real: -0.020460 Loss_D_fake 0.003602
[749/5000][310/535][77127] Loss_D: -0.022214 Loss_G: -0.005129 Loss_D_real: -0.009812 Loss_D_fake 0.012402
[749/5000][315/535][77128] Loss_D: -0.022260 Loss_G: 0.014850 Loss_D_real: -0.024247 Loss_D_fake -0.001987
[749/5000][320/535][77129] Loss_D: -0.023594 Loss_G: -0.009993 Loss_D_real: -0.010368 Loss_D_fake 0.013226
[749/5000][325/535][77130] Loss_D: -0.022899 Loss_G: 0.011409 Loss_D_real: -0.017093 Loss_D_fake 0.005807
[749/5000][330/535][77131] Loss_D: -0.022487 Loss_G: 0.018862 Loss_D_real: -0.021539 Loss_D_fake 0.000948
[749/5000][335/535][77132] Loss_D: -0.024987 Loss_G: 0.012657 Loss_D_real: -0.022941 Loss_D_fake 0.002045
[749/5000][340/535][77133] Loss_D: -0.024572 Loss_G: 0.008792 Loss_D_real: -0.014881 Loss_D_fake 0.009691
[749/5000][345/535][77134] Loss_D: -0.023733 Loss_G: 0.025613 Loss_D_real: -0.036080 Loss_D_fake -0.012347
[749/5000][350/535][77135] Loss_D: -0.024781 Loss_G: 0.016234 Loss_D_real: -0.023068 Loss_D_fake 0.001713
[749/5000][355/535][77136] Loss_D: -0.023660 Loss_G: 0.029376 Loss_D_real: -0.036652 Loss_D_fake -0.012992
[749/5000][360/535][77137] Loss_D: -0.024925 Loss_G: 0.014440 Loss_D_real: -0.019938 Loss_D_fake 0.004987
[749/5000][365/535][77138] Loss_D: -0.025188 Loss_G: 0.013025 Loss_D_real: -0.017687 Loss_D_fake 0.007501
[749/5000][370/535][77139] Loss_D: -0.023403 Loss_G: 0.024929 Loss_D_real: -0.024437 Loss_D_fake -0.001034
[749/5000][375/535][77140] Loss_D: -0.024887 Loss_G: 0.016832 Loss_D_real: -0.030828 Loss_D_fake -0.005940
[749/5000][380/535][77141] Loss_D: -0.024396 Loss_G: 0.006006 Loss_D_real: -0.021085 Loss_D_fake 0.003311
[749/5000][385/535][77142] Loss_D: -0.023523 Loss_G: 0.016192 Loss_D_real: -0.026911 Loss_D_fake -0.003388
[749/5000][390/535][77143] Loss_D: -0.024689 Loss_G: 0.023026 Loss_D_real: -0.027581 Loss_D_fake -0.002892
[749/5000][395/535][77144] Loss_D: -0.025303 Loss_G: -0.014618 Loss_D_real: -0.010169 Loss_D_fake 0.015134
[749/5000][400/535][77145] Loss_D: -0.024840 Loss_G: 0.009845 Loss_D_real: -0.025351 Loss_D_fake -0.000511
[749/5000][405/535][77146] Loss_D: -0.024107 Loss_G: 0.028598 Loss_D_real: -0.031975 Loss_D_fake -0.007868
[749/5000][410/535][77147] Loss_D: -0.024941 Loss_G: 0.018403 Loss_D_real: -0.014578 Loss_D_fake 0.010364
[749/5000][415/535][77148] Loss_D: -0.024318 Loss_G: 0.008045 Loss_D_real: -0.011085 Loss_D_fake 0.013233
[749/5000][420/535][77149] Loss_D: -0.024587 Loss_G: 0.010320 Loss_D_real: -0.014140 Loss_D_fake 0.010447
[749/5000][425/535][77150] Loss_D: -0.024975 Loss_G: 0.022379 Loss_D_real: -0.021519 Loss_D_fake 0.003456
[749/5000][430/535][77151] Loss_D: -0.024757 Loss_G: -0.007365 Loss_D_real: -0.012919 Loss_D_fake 0.011838
[749/5000][435/535][77152] Loss_D: -0.023663 Loss_G: 0.009194 Loss_D_real: -0.018036 Loss_D_fake 0.005628
[749/5000][440/535][77153] Loss_D: -0.024867 Loss_G: 0.011570 Loss_D_real: -0.012881 Loss_D_fake 0.011986
[749/5000][445/535][77154] Loss_D: -0.024182 Loss_G: -0.000094 Loss_D_real: -0.018165 Loss_D_fake 0.006017
[749/5000][450/535][77155] Loss_D: -0.025269 Loss_G: 0.010104 Loss_D_real: -0.020678 Loss_D_fake 0.004591
[749/5000][455/535][77156] Loss_D: -0.023267 Loss_G: -0.001408 Loss_D_real: -0.015458 Loss_D_fake 0.007809
[749/5000][460/535][77157] Loss_D: -0.024734 Loss_G: 0.020787 Loss_D_real: -0.032624 Loss_D_fake -0.007891
[749/5000][465/535][77158] Loss_D: -0.024928 Loss_G: 0.012777 Loss_D_real: -0.013417 Loss_D_fake 0.011511
[749/5000][470/535][77159] Loss_D: -0.023482 Loss_G: 0.015851 Loss_D_real: -0.025073 Loss_D_fake -0.001592
[749/5000][475/535][77160] Loss_D: -0.022390 Loss_G: 0.022926 Loss_D_real: -0.041031 Loss_D_fake -0.018641
[749/5000][480/535][77161] Loss_D: -0.023108 Loss_G: -0.000661 Loss_D_real: -0.011407 Loss_D_fake 0.011701
[749/5000][485/535][77162] Loss_D: -0.023950 Loss_G: 0.024194 Loss_D_real: -0.035196 Loss_D_fake -0.011246
[749/5000][490/535][77163] Loss_D: -0.022666 Loss_G: 0.019232 Loss_D_real: -0.026016 Loss_D_fake -0.003350
[749/5000][495/535][77164] Loss_D: -0.024534 Loss_G: 0.011525 Loss_D_real: -0.019107 Loss_D_fake 0.005427
[749/5000][500/535][77165] Loss_D: -0.024808 Loss_G: 0.011782 Loss_D_real: -0.020685 Loss_D_fake 0.004123
[749/5000][505/535][77166] Loss_D: -0.024906 Loss_G: 0.016234 Loss_D_real: -0.022055 Loss_D_fake 0.002852
[749/5000][510/535][77167] Loss_D: -0.025369 Loss_G: -0.008278 Loss_D_real: -0.011966 Loss_D_fake 0.013403
[749/5000][515/535][77168] Loss_D: -0.023903 Loss_G: 0.002074 Loss_D_real: -0.021517 Loss_D_fake 0.002385
[749/5000][520/535][77169] Loss_D: -0.023966 Loss_G: 0.023896 Loss_D_real: -0.026204 Loss_D_fake -0.002239
[749/5000][525/535][77170] Loss_D: -0.023767 Loss_G: 0.002335 Loss_D_real: -0.017948 Loss_D_fake 0.005819
[749/5000][530/535][77171] Loss_D: -0.024294 Loss_G: 0.007399 Loss_D_real: -0.010910 Loss_D_fake 0.013383
[749/5000][535/535][77172] Loss_D: -0.021302 Loss_G: 0.029684 Loss_D_real: -0.021078 Loss_D_fake 0.000224
[750/5000][5/535][77173] Loss_D: -0.024733 Loss_G: 0.005593 Loss_D_real: -0.020839 Loss_D_fake 0.003894
[750/5000][10/535][77174] Loss_D: -0.023220 Loss_G: 0.015611 Loss_D_real: -0.015801 Loss_D_fake 0.007419
[750/5000][15/535][77175] Loss_D: -0.023515 Loss_G: 0.017290 Loss_D_real: -0.013174 Loss_D_fake 0.010341
[750/5000][20/535][77176] Loss_D: -0.022674 Loss_G: 0.028781 Loss_D_real: -0.030836 Loss_D_fake -0.008162
[750/5000][25/535][77177] Loss_D: -0.024801 Loss_G: -0.006401 Loss_D_real: -0.009443 Loss_D_fake 0.015358
[750/5000][30/535][77178] Loss_D: -0.023810 Loss_G: -0.001778 Loss_D_real: -0.005113 Loss_D_fake 0.018697
[750/5000][35/535][77179] Loss_D: -0.022105 Loss_G: 0.025716 Loss_D_real: -0.031854 Loss_D_fake -0.009750
[750/5000][40/535][77180] Loss_D: -0.024350 Loss_G: 0.006576 Loss_D_real: -0.017595 Loss_D_fake 0.006755
[750/5000][45/535][77181] Loss_D: -0.022683 Loss_G: 0.009027 Loss_D_real: -0.012509 Loss_D_fake 0.010174
[750/5000][50/535][77182] Loss_D: -0.024450 Loss_G: 0.009010 Loss_D_real: -0.019551 Loss_D_fake 0.004898
[750/5000][55/535][77183] Loss_D: -0.025013 Loss_G: 0.016916 Loss_D_real: -0.012768 Loss_D_fake 0.012246
[750/5000][60/535][77184] Loss_D: -0.022348 Loss_G: -0.003678 Loss_D_real: -0.007157 Loss_D_fake 0.015191
[750/5000][65/535][77185] Loss_D: -0.023941 Loss_G: 0.005267 Loss_D_real: -0.018791 Loss_D_fake 0.005150
[750/5000][70/535][77186] Loss_D: -0.023140 Loss_G: -0.005281 Loss_D_real: -0.001419 Loss_D_fake 0.021721
[750/5000][75/535][77187] Loss_D: -0.023725 Loss_G: 0.007815 Loss_D_real: -0.010791 Loss_D_fake 0.012933
[750/5000][80/535][77188] Loss_D: -0.024234 Loss_G: 0.023128 Loss_D_real: -0.028151 Loss_D_fake -0.003917
[750/5000][85/535][77189] Loss_D: -0.023511 Loss_G: 0.023418 Loss_D_real: -0.027007 Loss_D_fake -0.003496
[750/5000][90/535][77190] Loss_D: -0.023392 Loss_G: -0.005005 Loss_D_real: -0.007618 Loss_D_fake 0.015774
[750/5000][95/535][77191] Loss_D: -0.022745 Loss_G: 0.016071 Loss_D_real: -0.014615 Loss_D_fake 0.008130
[750/5000][100/535][77192] Loss_D: -0.023605 Loss_G: -0.003549 Loss_D_real: -0.014963 Loss_D_fake 0.008641
[750/5000][105/535][77193] Loss_D: -0.023828 Loss_G: 0.019693 Loss_D_real: -0.029201 Loss_D_fake -0.005374
[750/5000][110/535][77194] Loss_D: -0.024696 Loss_G: 0.019905 Loss_D_real: -0.020219 Loss_D_fake 0.004477
[750/5000][115/535][77195] Loss_D: -0.023911 Loss_G: 0.008822 Loss_D_real: -0.015329 Loss_D_fake 0.008582
[750/5000][120/535][77196] Loss_D: -0.022961 Loss_G: 0.003071 Loss_D_real: -0.011492 Loss_D_fake 0.011470
[750/5000][125/535][77197] Loss_D: -0.024083 Loss_G: 0.003233 Loss_D_real: -0.020487 Loss_D_fake 0.003596
[750/5000][130/535][77198] Loss_D: -0.023265 Loss_G: 0.005580 Loss_D_real: -0.006327 Loss_D_fake 0.016937
[750/5000][135/535][77199] Loss_D: -0.024988 Loss_G: 0.014573 Loss_D_real: -0.023206 Loss_D_fake 0.001782
[750/5000][140/535][77200] Loss_D: -0.024845 Loss_G: 0.010396 Loss_D_real: -0.019468 Loss_D_fake 0.005377
[750/5000][145/535][77201] Loss_D: -0.024744 Loss_G: 0.015916 Loss_D_real: -0.017113 Loss_D_fake 0.007632
[750/5000][150/535][77202] Loss_D: -0.023366 Loss_G: -0.001949 Loss_D_real: -0.014169 Loss_D_fake 0.009197
[750/5000][155/535][77203] Loss_D: -0.024388 Loss_G: 0.025755 Loss_D_real: -0.032953 Loss_D_fake -0.008566
[750/5000][160/535][77204] Loss_D: -0.025659 Loss_G: -0.000521 Loss_D_real: -0.002494 Loss_D_fake 0.023165
[750/5000][165/535][77205] Loss_D: -0.022513 Loss_G: 0.029442 Loss_D_real: -0.031935 Loss_D_fake -0.009422
[750/5000][170/535][77206] Loss_D: -0.023783 Loss_G: -0.002493 Loss_D_real: -0.013432 Loss_D_fake 0.010351
[750/5000][175/535][77207] Loss_D: -0.023875 Loss_G: 0.014028 Loss_D_real: -0.021340 Loss_D_fake 0.002535
[750/5000][180/535][77208] Loss_D: -0.024171 Loss_G: 0.006943 Loss_D_real: -0.016374 Loss_D_fake 0.007797
[750/5000][185/535][77209] Loss_D: -0.023790 Loss_G: -0.016299 Loss_D_real: -0.009993 Loss_D_fake 0.013797
[750/5000][190/535][77210] Loss_D: -0.024418 Loss_G: 0.007916 Loss_D_real: -0.022626 Loss_D_fake 0.001792
[750/5000][195/535][77211] Loss_D: -0.024376 Loss_G: 0.014031 Loss_D_real: -0.030129 Loss_D_fake -0.005753
[750/5000][200/535][77212] Loss_D: -0.024715 Loss_G: 0.013966 Loss_D_real: -0.018226 Loss_D_fake 0.006489
[750/5000][205/535][77213] Loss_D: -0.023751 Loss_G: -0.001652 Loss_D_real: 0.001456 Loss_D_fake 0.025207
[750/5000][210/535][77214] Loss_D: -0.024337 Loss_G: 0.001617 Loss_D_real: -0.010403 Loss_D_fake 0.013934
[750/5000][215/535][77215] Loss_D: -0.023092 Loss_G: -0.001326 Loss_D_real: -0.005696 Loss_D_fake 0.017396
[750/5000][220/535][77216] Loss_D: -0.025174 Loss_G: 0.000190 Loss_D_real: -0.012540 Loss_D_fake 0.012634
[750/5000][225/535][77217] Loss_D: -0.022446 Loss_G: 0.027181 Loss_D_real: -0.034243 Loss_D_fake -0.011797
[750/5000][230/535][77218] Loss_D: -0.024369 Loss_G: -0.006809 Loss_D_real: -0.008032 Loss_D_fake 0.016337
[750/5000][235/535][77219] Loss_D: -0.023206 Loss_G: -0.002025 Loss_D_real: -0.002860 Loss_D_fake 0.020346
[750/5000][240/535][77220] Loss_D: -0.023487 Loss_G: 0.012786 Loss_D_real: -0.028078 Loss_D_fake -0.004591
[750/5000][245/535][77221] Loss_D: -0.024067 Loss_G: 0.016937 Loss_D_real: -0.012366 Loss_D_fake 0.011701
[750/5000][250/535][77222] Loss_D: -0.021780 Loss_G: 0.016425 Loss_D_real: -0.024608 Loss_D_fake -0.002829
[750/5000][255/535][77223] Loss_D: -0.023034 Loss_G: 0.013653 Loss_D_real: -0.023210 Loss_D_fake -0.000177
[750/5000][260/535][77224] Loss_D: -0.023267 Loss_G: 0.023098 Loss_D_real: -0.029660 Loss_D_fake -0.006393
[750/5000][265/535][77225] Loss_D: -0.022892 Loss_G: 0.023644 Loss_D_real: -0.023674 Loss_D_fake -0.000782
[750/5000][270/535][77226] Loss_D: -0.023688 Loss_G: 0.020493 Loss_D_real: -0.034409 Loss_D_fake -0.010721
[750/5000][275/535][77227] Loss_D: -0.022206 Loss_G: -0.005438 Loss_D_real: -0.005731 Loss_D_fake 0.016475
[750/5000][280/535][77228] Loss_D: -0.023003 Loss_G: 0.001038 Loss_D_real: -0.022607 Loss_D_fake 0.000396
[750/5000][285/535][77229] Loss_D: -0.023464 Loss_G: 0.004400 Loss_D_real: -0.012311 Loss_D_fake 0.011153
[750/5000][290/535][77230] Loss_D: -0.023532 Loss_G: 0.004437 Loss_D_real: -0.015513 Loss_D_fake 0.008019
[750/5000][295/535][77231] Loss_D: -0.022531 Loss_G: 0.005888 Loss_D_real: -0.019844 Loss_D_fake 0.002687
[750/5000][300/535][77232] Loss_D: -0.023693 Loss_G: 0.017068 Loss_D_real: -0.029106 Loss_D_fake -0.005413
[750/5000][305/535][77233] Loss_D: -0.025029 Loss_G: 0.012749 Loss_D_real: -0.021897 Loss_D_fake 0.003132
[750/5000][310/535][77234] Loss_D: -0.022914 Loss_G: -0.009004 Loss_D_real: -0.008163 Loss_D_fake 0.014751
[750/5000][315/535][77235] Loss_D: -0.023339 Loss_G: 0.020111 Loss_D_real: -0.028432 Loss_D_fake -0.005093
[750/5000][320/535][77236] Loss_D: -0.024305 Loss_G: 0.021583 Loss_D_real: -0.025225 Loss_D_fake -0.000920
[750/5000][325/535][77237] Loss_D: -0.024228 Loss_G: 0.000831 Loss_D_real: -0.015968 Loss_D_fake 0.008261
[750/5000][330/535][77238] Loss_D: -0.021921 Loss_G: 0.021239 Loss_D_real: -0.026763 Loss_D_fake -0.004842
[750/5000][335/535][77239] Loss_D: -0.022729 Loss_G: 0.016339 Loss_D_real: -0.012365 Loss_D_fake 0.010364
[750/5000][340/535][77240] Loss_D: -0.023526 Loss_G: -0.013565 Loss_D_real: -0.002891 Loss_D_fake 0.020635
[750/5000][345/535][77241] Loss_D: -0.022788 Loss_G: 0.017099 Loss_D_real: -0.024022 Loss_D_fake -0.001234
[750/5000][350/535][77242] Loss_D: -0.024087 Loss_G: 0.020959 Loss_D_real: -0.023643 Loss_D_fake 0.000445
[750/5000][355/535][77243] Loss_D: -0.024900 Loss_G: 0.009336 Loss_D_real: -0.027237 Loss_D_fake -0.002337
[750/5000][360/535][77244] Loss_D: -0.024326 Loss_G: -0.009841 Loss_D_real: -0.007444 Loss_D_fake 0.016882
[750/5000][365/535][77245] Loss_D: -0.025011 Loss_G: 0.012472 Loss_D_real: -0.020847 Loss_D_fake 0.004164
[750/5000][370/535][77246] Loss_D: -0.024678 Loss_G: 0.023981 Loss_D_real: -0.026679 Loss_D_fake -0.002000
[750/5000][375/535][77247] Loss_D: -0.024500 Loss_G: 0.000045 Loss_D_real: -0.019285 Loss_D_fake 0.005216
[750/5000][380/535][77248] Loss_D: -0.024275 Loss_G: 0.030434 Loss_D_real: -0.030875 Loss_D_fake -0.006599
[750/5000][385/535][77249] Loss_D: -0.024131 Loss_G: -0.013867 Loss_D_real: -0.006453 Loss_D_fake 0.017678
[750/5000][390/535][77250] Loss_D: -0.023717 Loss_G: 0.028583 Loss_D_real: -0.026125 Loss_D_fake -0.002408
[750/5000][395/535][77251] Loss_D: -0.024546 Loss_G: 0.013642 Loss_D_real: -0.016496 Loss_D_fake 0.008051
[750/5000][400/535][77252] Loss_D: -0.024093 Loss_G: 0.016391 Loss_D_real: -0.028307 Loss_D_fake -0.004213
[750/5000][405/535][77253] Loss_D: -0.024513 Loss_G: 0.002273 Loss_D_real: -0.020404 Loss_D_fake 0.004110
[750/5000][410/535][77254] Loss_D: -0.025320 Loss_G: 0.025154 Loss_D_real: -0.032379 Loss_D_fake -0.007060
[750/5000][415/535][77255] Loss_D: -0.025340 Loss_G: 0.028006 Loss_D_real: -0.033655 Loss_D_fake -0.008316
[750/5000][420/535][77256] Loss_D: -0.023929 Loss_G: -0.010018 Loss_D_real: -0.007023 Loss_D_fake 0.016907
[750/5000][425/535][77257] Loss_D: -0.025640 Loss_G: 0.014231 Loss_D_real: -0.017852 Loss_D_fake 0.007788
[750/5000][430/535][77258] Loss_D: -0.024429 Loss_G: 0.019149 Loss_D_real: -0.017892 Loss_D_fake 0.006537
[750/5000][435/535][77259] Loss_D: -0.024209 Loss_G: 0.018314 Loss_D_real: -0.033541 Loss_D_fake -0.009332
[750/5000][440/535][77260] Loss_D: -0.023684 Loss_G: -0.020883 Loss_D_real: 0.003900 Loss_D_fake 0.027584
[750/5000][445/535][77261] Loss_D: -0.023626 Loss_G: 0.017507 Loss_D_real: -0.026584 Loss_D_fake -0.002958
[750/5000][450/535][77262] Loss_D: -0.022893 Loss_G: 0.031133 Loss_D_real: -0.038035 Loss_D_fake -0.015142
[750/5000][455/535][77263] Loss_D: -0.023556 Loss_G: -0.005141 Loss_D_real: -0.005602 Loss_D_fake 0.017954
[750/5000][460/535][77264] Loss_D: -0.024522 Loss_G: 0.021955 Loss_D_real: -0.026142 Loss_D_fake -0.001620
[750/5000][465/535][77265] Loss_D: -0.024205 Loss_G: 0.006878 Loss_D_real: -0.015528 Loss_D_fake 0.008677
[750/5000][470/535][77266] Loss_D: -0.024075 Loss_G: 0.003881 Loss_D_real: -0.021503 Loss_D_fake 0.002572
[750/5000][475/535][77267] Loss_D: -0.023877 Loss_G: 0.006143 Loss_D_real: -0.010677 Loss_D_fake 0.013200
[750/5000][480/535][77268] Loss_D: -0.023240 Loss_G: -0.018078 Loss_D_real: -0.004825 Loss_D_fake 0.018415
[750/5000][485/535][77269] Loss_D: -0.022638 Loss_G: 0.012407 Loss_D_real: -0.010717 Loss_D_fake 0.011921
[750/5000][490/535][77270] Loss_D: -0.021965 Loss_G: -0.004955 Loss_D_real: -0.007317 Loss_D_fake 0.014649
[750/5000][495/535][77271] Loss_D: -0.024284 Loss_G: 0.033427 Loss_D_real: -0.025586 Loss_D_fake -0.001302
[750/5000][500/535][77272] Loss_D: -0.022557 Loss_G: -0.009754 Loss_D_real: -0.016246 Loss_D_fake 0.006311
[750/5000][505/535][77273] Loss_D: -0.023824 Loss_G: 0.021075 Loss_D_real: -0.030432 Loss_D_fake -0.006609
[750/5000][510/535][77274] Loss_D: -0.023657 Loss_G: 0.014854 Loss_D_real: -0.022836 Loss_D_fake 0.000822
[750/5000][515/535][77275] Loss_D: -0.023785 Loss_G: 0.006649 Loss_D_real: -0.025342 Loss_D_fake -0.001557
[750/5000][520/535][77276] Loss_D: -0.024177 Loss_G: 0.001357 Loss_D_real: -0.016833 Loss_D_fake 0.007344
[750/5000][525/535][77277] Loss_D: -0.024234 Loss_G: -0.002626 Loss_D_real: -0.009981 Loss_D_fake 0.014253
[750/5000][530/535][77278] Loss_D: -0.023716 Loss_G: 0.014836 Loss_D_real: -0.026640 Loss_D_fake -0.002924
[750/5000][535/535][77279] Loss_D: -0.020859 Loss_G: -0.027070 Loss_D_real: -0.000457 Loss_D_fake 0.020402
[751/5000][5/535][77280] Loss_D: -0.023510 Loss_G: 0.008619 Loss_D_real: -0.018898 Loss_D_fake 0.004613
[751/5000][10/535][77281] Loss_D: -0.022658 Loss_G: -0.000852 Loss_D_real: -0.006079 Loss_D_fake 0.016579
[751/5000][15/535][77282] Loss_D: -0.024558 Loss_G: 0.009919 Loss_D_real: -0.018914 Loss_D_fake 0.005644
[751/5000][20/535][77283] Loss_D: -0.025295 Loss_G: 0.001635 Loss_D_real: -0.004726 Loss_D_fake 0.020568
[751/5000][25/535][77284] Loss_D: -0.023187 Loss_G: 0.020219 Loss_D_real: -0.034875 Loss_D_fake -0.011689
[751/5000][30/535][77285] Loss_D: -0.024220 Loss_G: 0.008571 Loss_D_real: -0.017440 Loss_D_fake 0.006781
[751/5000][35/535][77286] Loss_D: -0.024816 Loss_G: 0.016069 Loss_D_real: -0.021610 Loss_D_fake 0.003205
[751/5000][40/535][77287] Loss_D: -0.023302 Loss_G: 0.004066 Loss_D_real: -0.004631 Loss_D_fake 0.018671
[751/5000][45/535][77288] Loss_D: -0.024936 Loss_G: 0.017689 Loss_D_real: -0.025335 Loss_D_fake -0.000399
[751/5000][50/535][77289] Loss_D: -0.025467 Loss_G: 0.000722 Loss_D_real: -0.017500 Loss_D_fake 0.007968
[751/5000][55/535][77290] Loss_D: -0.023847 Loss_G: 0.020795 Loss_D_real: -0.028658 Loss_D_fake -0.004811
[751/5000][60/535][77291] Loss_D: -0.022889 Loss_G: -0.011192 Loss_D_real: 0.003852 Loss_D_fake 0.026742
[751/5000][65/535][77292] Loss_D: -0.023707 Loss_G: 0.015095 Loss_D_real: -0.029983 Loss_D_fake -0.006276
[751/5000][70/535][77293] Loss_D: -0.023867 Loss_G: 0.015641 Loss_D_real: -0.020965 Loss_D_fake 0.002902
[751/5000][75/535][77294] Loss_D: -0.023683 Loss_G: -0.007434 Loss_D_real: -0.010045 Loss_D_fake 0.013638
[751/5000][80/535][77295] Loss_D: -0.022685 Loss_G: -0.009824 Loss_D_real: -0.002378 Loss_D_fake 0.020307
[751/5000][85/535][77296] Loss_D: -0.024163 Loss_G: 0.004810 Loss_D_real: -0.012144 Loss_D_fake 0.012019
[751/5000][90/535][77297] Loss_D: -0.024281 Loss_G: 0.011734 Loss_D_real: -0.026964 Loss_D_fake -0.002683
[751/5000][95/535][77298] Loss_D: -0.024927 Loss_G: 0.018565 Loss_D_real: -0.026701 Loss_D_fake -0.001774
[751/5000][100/535][77299] Loss_D: -0.024854 Loss_G: -0.002096 Loss_D_real: -0.003272 Loss_D_fake 0.021582
[751/5000][105/535][77300] Loss_D: -0.022015 Loss_G: 0.027537 Loss_D_real: -0.035524 Loss_D_fake -0.013509
[751/5000][110/535][77301] Loss_D: -0.024188 Loss_G: 0.016158 Loss_D_real: -0.030722 Loss_D_fake -0.006534
[751/5000][115/535][77302] Loss_D: -0.023746 Loss_G: 0.025461 Loss_D_real: -0.023103 Loss_D_fake 0.000643
[751/5000][120/535][77303] Loss_D: -0.023925 Loss_G: 0.001729 Loss_D_real: -0.018661 Loss_D_fake 0.005264
[751/5000][125/535][77304] Loss_D: -0.023712 Loss_G: 0.007368 Loss_D_real: -0.023610 Loss_D_fake 0.000102
[751/5000][130/535][77305] Loss_D: -0.023752 Loss_G: 0.025506 Loss_D_real: -0.030151 Loss_D_fake -0.006399
[751/5000][135/535][77306] Loss_D: -0.023492 Loss_G: -0.000553 Loss_D_real: -0.014416 Loss_D_fake 0.009076
[751/5000][140/535][77307] Loss_D: -0.023843 Loss_G: 0.009605 Loss_D_real: -0.019307 Loss_D_fake 0.004536
[751/5000][145/535][77308] Loss_D: -0.024339 Loss_G: 0.011443 Loss_D_real: -0.022051 Loss_D_fake 0.002288
[751/5000][150/535][77309] Loss_D: -0.023590 Loss_G: 0.007598 Loss_D_real: -0.022321 Loss_D_fake 0.001269
[751/5000][155/535][77310] Loss_D: -0.023911 Loss_G: 0.004793 Loss_D_real: -0.005010 Loss_D_fake 0.018901
[751/5000][160/535][77311] Loss_D: -0.023488 Loss_G: 0.009512 Loss_D_real: -0.029771 Loss_D_fake -0.006283
[751/5000][165/535][77312] Loss_D: -0.024269 Loss_G: 0.010459 Loss_D_real: -0.021924 Loss_D_fake 0.002345
[751/5000][170/535][77313] Loss_D: -0.024106 Loss_G: 0.017389 Loss_D_real: -0.027602 Loss_D_fake -0.003496
[751/5000][175/535][77314] Loss_D: -0.023689 Loss_G: 0.013814 Loss_D_real: -0.021012 Loss_D_fake 0.002677
[751/5000][180/535][77315] Loss_D: -0.023931 Loss_G: 0.018000 Loss_D_real: -0.031730 Loss_D_fake -0.007799
[751/5000][185/535][77316] Loss_D: -0.023939 Loss_G: 0.003455 Loss_D_real: -0.021841 Loss_D_fake 0.002098
[751/5000][190/535][77317] Loss_D: -0.024923 Loss_G: 0.011840 Loss_D_real: -0.023762 Loss_D_fake 0.001161
[751/5000][195/535][77318] Loss_D: -0.023930 Loss_G: 0.019753 Loss_D_real: -0.023400 Loss_D_fake 0.000530
[751/5000][200/535][77319] Loss_D: -0.022899 Loss_G: 0.007746 Loss_D_real: -0.022511 Loss_D_fake 0.000388
[751/5000][205/535][77320] Loss_D: -0.023465 Loss_G: 0.028000 Loss_D_real: -0.034473 Loss_D_fake -0.011007
[751/5000][210/535][77321] Loss_D: -0.020851 Loss_G: -0.024523 Loss_D_real: 0.000135 Loss_D_fake 0.020986
[751/5000][215/535][77322] Loss_D: -0.023322 Loss_G: 0.012237 Loss_D_real: -0.025135 Loss_D_fake -0.001813
[751/5000][220/535][77323] Loss_D: -0.023332 Loss_G: 0.030717 Loss_D_real: -0.025516 Loss_D_fake -0.002184
[751/5000][225/535][77324] Loss_D: -0.023387 Loss_G: 0.012210 Loss_D_real: -0.019984 Loss_D_fake 0.003403
[751/5000][230/535][77325] Loss_D: -0.023130 Loss_G: -0.007748 Loss_D_real: -0.009917 Loss_D_fake 0.013212
[751/5000][235/535][77326] Loss_D: -0.023057 Loss_G: 0.003486 Loss_D_real: -0.021774 Loss_D_fake 0.001284
[751/5000][240/535][77327] Loss_D: -0.024391 Loss_G: 0.013562 Loss_D_real: -0.015235 Loss_D_fake 0.009157
[751/5000][245/535][77328] Loss_D: -0.021474 Loss_G: 0.030407 Loss_D_real: -0.035502 Loss_D_fake -0.014028
[751/5000][250/535][77329] Loss_D: -0.024120 Loss_G: 0.016505 Loss_D_real: -0.014177 Loss_D_fake 0.009943
[751/5000][255/535][77330] Loss_D: -0.023854 Loss_G: -0.002644 Loss_D_real: -0.012899 Loss_D_fake 0.010955
[751/5000][260/535][77331] Loss_D: -0.023659 Loss_G: 0.018511 Loss_D_real: -0.031471 Loss_D_fake -0.007812
[751/5000][265/535][77332] Loss_D: -0.023742 Loss_G: 0.007102 Loss_D_real: -0.017656 Loss_D_fake 0.006086
[751/5000][270/535][77333] Loss_D: -0.023779 Loss_G: 0.002307 Loss_D_real: -0.010547 Loss_D_fake 0.013232
[751/5000][275/535][77334] Loss_D: -0.024505 Loss_G: 0.008906 Loss_D_real: -0.019030 Loss_D_fake 0.005475
[751/5000][280/535][77335] Loss_D: -0.024601 Loss_G: -0.008659 Loss_D_real: -0.011528 Loss_D_fake 0.013073
[751/5000][285/535][77336] Loss_D: -0.022651 Loss_G: 0.025694 Loss_D_real: -0.027102 Loss_D_fake -0.004451
[751/5000][290/535][77337] Loss_D: -0.024185 Loss_G: -0.007708 Loss_D_real: -0.001218 Loss_D_fake 0.022967
[751/5000][295/535][77338] Loss_D: -0.023352 Loss_G: 0.017134 Loss_D_real: -0.031222 Loss_D_fake -0.007870
[751/5000][300/535][77339] Loss_D: -0.023823 Loss_G: 0.027032 Loss_D_real: -0.033202 Loss_D_fake -0.009379
[751/5000][305/535][77340] Loss_D: -0.024372 Loss_G: -0.012313 Loss_D_real: -0.000560 Loss_D_fake 0.023812
[751/5000][310/535][77341] Loss_D: -0.025764 Loss_G: 0.004381 Loss_D_real: -0.018003 Loss_D_fake 0.007761
[751/5000][315/535][77342] Loss_D: -0.021699 Loss_G: 0.031322 Loss_D_real: -0.038430 Loss_D_fake -0.016732
[751/5000][320/535][77343] Loss_D: -0.025475 Loss_G: 0.015575 Loss_D_real: -0.019116 Loss_D_fake 0.006359
[751/5000][325/535][77344] Loss_D: -0.023981 Loss_G: -0.012191 Loss_D_real: -0.003131 Loss_D_fake 0.020850
[751/5000][330/535][77345] Loss_D: -0.023525 Loss_G: 0.007732 Loss_D_real: -0.017406 Loss_D_fake 0.006118
[751/5000][335/535][77346] Loss_D: -0.023774 Loss_G: 0.023899 Loss_D_real: -0.027432 Loss_D_fake -0.003658
[751/5000][340/535][77347] Loss_D: -0.023780 Loss_G: 0.001389 Loss_D_real: -0.009061 Loss_D_fake 0.014720
[751/5000][345/535][77348] Loss_D: -0.024160 Loss_G: 0.003335 Loss_D_real: -0.008608 Loss_D_fake 0.015552
[751/5000][350/535][77349] Loss_D: -0.023208 Loss_G: 0.011312 Loss_D_real: -0.025277 Loss_D_fake -0.002069
[751/5000][355/535][77350] Loss_D: -0.024533 Loss_G: 0.009877 Loss_D_real: -0.014110 Loss_D_fake 0.010423
[751/5000][360/535][77351] Loss_D: -0.023780 Loss_G: 0.023986 Loss_D_real: -0.032292 Loss_D_fake -0.008512
[751/5000][365/535][77352] Loss_D: -0.024227 Loss_G: -0.001975 Loss_D_real: -0.007290 Loss_D_fake 0.016937
[751/5000][370/535][77353] Loss_D: -0.024360 Loss_G: 0.024072 Loss_D_real: -0.014713 Loss_D_fake 0.009647
[751/5000][375/535][77354] Loss_D: -0.024806 Loss_G: 0.008889 Loss_D_real: -0.022092 Loss_D_fake 0.002714
[751/5000][380/535][77355] Loss_D: -0.025309 Loss_G: 0.006238 Loss_D_real: -0.015363 Loss_D_fake 0.009946
[751/5000][385/535][77356] Loss_D: -0.024223 Loss_G: -0.003652 Loss_D_real: -0.010801 Loss_D_fake 0.013423
[751/5000][390/535][77357] Loss_D: -0.024730 Loss_G: 0.012321 Loss_D_real: -0.026631 Loss_D_fake -0.001900
[751/5000][395/535][77358] Loss_D: -0.024090 Loss_G: -0.010796 Loss_D_real: 0.002959 Loss_D_fake 0.027049
[751/5000][400/535][77359] Loss_D: -0.022890 Loss_G: 0.017771 Loss_D_real: -0.032188 Loss_D_fake -0.009297
[751/5000][405/535][77360] Loss_D: -0.024067 Loss_G: -0.008431 Loss_D_real: -0.005925 Loss_D_fake 0.018141
[751/5000][410/535][77361] Loss_D: -0.024566 Loss_G: 0.018790 Loss_D_real: -0.023179 Loss_D_fake 0.001387
[751/5000][415/535][77362] Loss_D: -0.023473 Loss_G: 0.009376 Loss_D_real: -0.012611 Loss_D_fake 0.010862
[751/5000][420/535][77363] Loss_D: -0.024564 Loss_G: 0.009961 Loss_D_real: -0.021762 Loss_D_fake 0.002802
[751/5000][425/535][77364] Loss_D: -0.024210 Loss_G: -0.003975 Loss_D_real: -0.005320 Loss_D_fake 0.018890
[751/5000][430/535][77365] Loss_D: -0.024272 Loss_G: 0.019210 Loss_D_real: -0.029050 Loss_D_fake -0.004777
[751/5000][435/535][77366] Loss_D: -0.024240 Loss_G: 0.018929 Loss_D_real: -0.025306 Loss_D_fake -0.001066
[751/5000][440/535][77367] Loss_D: -0.024208 Loss_G: 0.003966 Loss_D_real: -0.013906 Loss_D_fake 0.010303
[751/5000][445/535][77368] Loss_D: -0.024882 Loss_G: 0.011263 Loss_D_real: -0.022617 Loss_D_fake 0.002265
[751/5000][450/535][77369] Loss_D: -0.024441 Loss_G: 0.000855 Loss_D_real: -0.008781 Loss_D_fake 0.015661
[751/5000][455/535][77370] Loss_D: -0.024725 Loss_G: 0.010740 Loss_D_real: -0.015378 Loss_D_fake 0.009346
[751/5000][460/535][77371] Loss_D: -0.024573 Loss_G: 0.009437 Loss_D_real: -0.017139 Loss_D_fake 0.007433
[751/5000][465/535][77372] Loss_D: -0.024068 Loss_G: 0.012586 Loss_D_real: -0.021162 Loss_D_fake 0.002906
[751/5000][470/535][77373] Loss_D: -0.024643 Loss_G: -0.003821 Loss_D_real: -0.008675 Loss_D_fake 0.015968
[751/5000][475/535][77374] Loss_D: -0.022814 Loss_G: 0.022235 Loss_D_real: -0.028905 Loss_D_fake -0.006091
[751/5000][480/535][77375] Loss_D: -0.023853 Loss_G: 0.003854 Loss_D_real: -0.015359 Loss_D_fake 0.008494
[751/5000][485/535][77376] Loss_D: -0.023079 Loss_G: 0.022664 Loss_D_real: -0.027550 Loss_D_fake -0.004471
[751/5000][490/535][77377] Loss_D: -0.024489 Loss_G: 0.006533 Loss_D_real: -0.015349 Loss_D_fake 0.009140
[751/5000][495/535][77378] Loss_D: -0.023143 Loss_G: 0.011064 Loss_D_real: -0.029115 Loss_D_fake -0.005973
[751/5000][500/535][77379] Loss_D: -0.023630 Loss_G: 0.012892 Loss_D_real: -0.022563 Loss_D_fake 0.001067
[751/5000][505/535][77380] Loss_D: -0.023965 Loss_G: 0.013457 Loss_D_real: -0.013771 Loss_D_fake 0.010195
[751/5000][510/535][77381] Loss_D: -0.022043 Loss_G: 0.030375 Loss_D_real: -0.036608 Loss_D_fake -0.014565
[751/5000][515/535][77382] Loss_D: -0.023176 Loss_G: 0.007917 Loss_D_real: -0.016236 Loss_D_fake 0.006940
[751/5000][520/535][77383] Loss_D: -0.023036 Loss_G: 0.026907 Loss_D_real: -0.030524 Loss_D_fake -0.007488
[751/5000][525/535][77384] Loss_D: -0.022720 Loss_G: -0.003517 Loss_D_real: -0.001674 Loss_D_fake 0.021046
[751/5000][530/535][77385] Loss_D: -0.023756 Loss_G: 0.000170 Loss_D_real: -0.004129 Loss_D_fake 0.019627
[751/5000][535/535][77386] Loss_D: -0.021665 Loss_G: 0.037476 Loss_D_real: -0.029124 Loss_D_fake -0.007460
[752/5000][5/535][77387] Loss_D: -0.023877 Loss_G: -0.005023 Loss_D_real: -0.011432 Loss_D_fake 0.012445
[752/5000][10/535][77388] Loss_D: -0.022591 Loss_G: 0.017012 Loss_D_real: -0.034813 Loss_D_fake -0.012222
[752/5000][15/535][77389] Loss_D: -0.023901 Loss_G: 0.023034 Loss_D_real: -0.035296 Loss_D_fake -0.011395
[752/5000][20/535][77390] Loss_D: -0.022945 Loss_G: 0.019210 Loss_D_real: -0.027420 Loss_D_fake -0.004475
[752/5000][25/535][77391] Loss_D: -0.024002 Loss_G: 0.011484 Loss_D_real: -0.024884 Loss_D_fake -0.000881
[752/5000][30/535][77392] Loss_D: -0.024409 Loss_G: 0.005184 Loss_D_real: -0.012404 Loss_D_fake 0.012004
[752/5000][35/535][77393] Loss_D: -0.024048 Loss_G: -0.003960 Loss_D_real: -0.010897 Loss_D_fake 0.013152
[752/5000][40/535][77394] Loss_D: -0.023327 Loss_G: 0.015662 Loss_D_real: -0.024865 Loss_D_fake -0.001538
[752/5000][45/535][77395] Loss_D: -0.026413 Loss_G: 0.009171 Loss_D_real: -0.021960 Loss_D_fake 0.004453
[752/5000][50/535][77396] Loss_D: -0.024208 Loss_G: -0.005427 Loss_D_real: 0.000743 Loss_D_fake 0.024951
[752/5000][55/535][77397] Loss_D: -0.024584 Loss_G: 0.013724 Loss_D_real: -0.021000 Loss_D_fake 0.003584
[752/5000][60/535][77398] Loss_D: -0.023281 Loss_G: 0.024535 Loss_D_real: -0.029434 Loss_D_fake -0.006152
[752/5000][65/535][77399] Loss_D: -0.024698 Loss_G: 0.008687 Loss_D_real: -0.016030 Loss_D_fake 0.008669
[752/5000][70/535][77400] Loss_D: -0.023493 Loss_G: -0.004989 Loss_D_real: -0.004570 Loss_D_fake 0.018923
[752/5000][75/535][77401] Loss_D: -0.024304 Loss_G: 0.009155 Loss_D_real: -0.015392 Loss_D_fake 0.008912
[752/5000][80/535][77402] Loss_D: -0.023763 Loss_G: 0.026341 Loss_D_real: -0.023980 Loss_D_fake -0.000217
[752/5000][85/535][77403] Loss_D: -0.024048 Loss_G: 0.005149 Loss_D_real: -0.020963 Loss_D_fake 0.003085
[752/5000][90/535][77404] Loss_D: -0.023731 Loss_G: 0.006487 Loss_D_real: -0.016759 Loss_D_fake 0.006973
[752/5000][95/535][77405] Loss_D: -0.024728 Loss_G: 0.000857 Loss_D_real: -0.012946 Loss_D_fake 0.011783
[752/5000][100/535][77406] Loss_D: -0.023142 Loss_G: 0.010614 Loss_D_real: -0.021826 Loss_D_fake 0.001317
[752/5000][105/535][77407] Loss_D: -0.024497 Loss_G: 0.006187 Loss_D_real: -0.013018 Loss_D_fake 0.011479
[752/5000][110/535][77408] Loss_D: -0.025330 Loss_G: -0.004455 Loss_D_real: -0.001894 Loss_D_fake 0.023436
[752/5000][115/535][77409] Loss_D: -0.024409 Loss_G: -0.001889 Loss_D_real: -0.012206 Loss_D_fake 0.012203
[752/5000][120/535][77410] Loss_D: -0.022668 Loss_G: 0.032769 Loss_D_real: -0.041814 Loss_D_fake -0.019146
[752/5000][125/535][77411] Loss_D: -0.026309 Loss_G: 0.006161 Loss_D_real: -0.017660 Loss_D_fake 0.008649
[752/5000][130/535][77412] Loss_D: -0.024523 Loss_G: 0.010626 Loss_D_real: -0.025097 Loss_D_fake -0.000574
[752/5000][135/535][77413] Loss_D: -0.024085 Loss_G: 0.003744 Loss_D_real: -0.015010 Loss_D_fake 0.009075
[752/5000][140/535][77414] Loss_D: -0.024761 Loss_G: -0.001067 Loss_D_real: -0.005315 Loss_D_fake 0.019446
[752/5000][145/535][77415] Loss_D: -0.025048 Loss_G: 0.019084 Loss_D_real: -0.028236 Loss_D_fake -0.003188
[752/5000][150/535][77416] Loss_D: -0.023923 Loss_G: -0.000410 Loss_D_real: -0.005917 Loss_D_fake 0.018006
[752/5000][155/535][77417] Loss_D: -0.023649 Loss_G: 0.008257 Loss_D_real: -0.019689 Loss_D_fake 0.003960
[752/5000][160/535][77418] Loss_D: -0.022997 Loss_G: 0.022029 Loss_D_real: -0.023628 Loss_D_fake -0.000631
[752/5000][165/535][77419] Loss_D: -0.024600 Loss_G: 0.008574 Loss_D_real: 0.000583 Loss_D_fake 0.025184
[752/5000][170/535][77420] Loss_D: -0.023133 Loss_G: 0.007567 Loss_D_real: -0.023745 Loss_D_fake -0.000612
[752/5000][175/535][77421] Loss_D: -0.021712 Loss_G: -0.010922 Loss_D_real: -0.006176 Loss_D_fake 0.015536
[752/5000][180/535][77422] Loss_D: -0.024355 Loss_G: 0.011497 Loss_D_real: -0.025323 Loss_D_fake -0.000968
[752/5000][185/535][77423] Loss_D: -0.023883 Loss_G: -0.006436 Loss_D_real: -0.002781 Loss_D_fake 0.021102
[752/5000][190/535][77424] Loss_D: -0.023674 Loss_G: 0.017572 Loss_D_real: -0.025441 Loss_D_fake -0.001767
[752/5000][195/535][77425] Loss_D: -0.023706 Loss_G: 0.012596 Loss_D_real: -0.018291 Loss_D_fake 0.005415
[752/5000][200/535][77426] Loss_D: -0.023932 Loss_G: 0.013303 Loss_D_real: -0.023890 Loss_D_fake 0.000042
[752/5000][205/535][77427] Loss_D: -0.023253 Loss_G: 0.025700 Loss_D_real: -0.034398 Loss_D_fake -0.011146
[752/5000][210/535][77428] Loss_D: -0.025051 Loss_G: 0.005443 Loss_D_real: -0.019835 Loss_D_fake 0.005216
[752/5000][215/535][77429] Loss_D: -0.024013 Loss_G: 0.001127 Loss_D_real: -0.018452 Loss_D_fake 0.005562
[752/5000][220/535][77430] Loss_D: -0.022940 Loss_G: 0.016480 Loss_D_real: -0.022016 Loss_D_fake 0.000924
[752/5000][225/535][77431] Loss_D: -0.023368 Loss_G: 0.024373 Loss_D_real: -0.033770 Loss_D_fake -0.010402
[752/5000][230/535][77432] Loss_D: -0.024191 Loss_G: -0.008334 Loss_D_real: -0.005107 Loss_D_fake 0.019084
[752/5000][235/535][77433] Loss_D: -0.024195 Loss_G: 0.004899 Loss_D_real: -0.018182 Loss_D_fake 0.006013
[752/5000][240/535][77434] Loss_D: -0.022376 Loss_G: 0.013398 Loss_D_real: -0.025708 Loss_D_fake -0.003331
[752/5000][245/535][77435] Loss_D: -0.023653 Loss_G: 0.023909 Loss_D_real: -0.018739 Loss_D_fake 0.004914
[752/5000][250/535][77436] Loss_D: -0.023420 Loss_G: 0.027490 Loss_D_real: -0.034282 Loss_D_fake -0.010862
[752/5000][255/535][77437] Loss_D: -0.022588 Loss_G: -0.017196 Loss_D_real: -0.007557 Loss_D_fake 0.015031
[752/5000][260/535][77438] Loss_D: -0.023133 Loss_G: -0.002804 Loss_D_real: -0.001547 Loss_D_fake 0.021585
[752/5000][265/535][77439] Loss_D: -0.022907 Loss_G: 0.024396 Loss_D_real: -0.043126 Loss_D_fake -0.020219
[752/5000][270/535][77440] Loss_D: -0.024341 Loss_G: 0.016197 Loss_D_real: -0.020070 Loss_D_fake 0.004271
[752/5000][275/535][77441] Loss_D: -0.023500 Loss_G: 0.022208 Loss_D_real: -0.029122 Loss_D_fake -0.005622
[752/5000][280/535][77442] Loss_D: -0.024960 Loss_G: 0.018103 Loss_D_real: -0.020872 Loss_D_fake 0.004088
[752/5000][285/535][77443] Loss_D: -0.024268 Loss_G: 0.008450 Loss_D_real: -0.017670 Loss_D_fake 0.006597
[752/5000][290/535][77444] Loss_D: -0.023678 Loss_G: 0.003429 Loss_D_real: -0.012151 Loss_D_fake 0.011527
[752/5000][295/535][77445] Loss_D: -0.023741 Loss_G: 0.000629 Loss_D_real: -0.007249 Loss_D_fake 0.016492
[752/5000][300/535][77446] Loss_D: -0.023879 Loss_G: 0.017350 Loss_D_real: -0.020520 Loss_D_fake 0.003360
[752/5000][305/535][77447] Loss_D: -0.023958 Loss_G: 0.022315 Loss_D_real: -0.026181 Loss_D_fake -0.002223
[752/5000][310/535][77448] Loss_D: -0.023582 Loss_G: 0.008097 Loss_D_real: -0.022014 Loss_D_fake 0.001567
[752/5000][315/535][77449] Loss_D: -0.023426 Loss_G: 0.012113 Loss_D_real: -0.023814 Loss_D_fake -0.000388
[752/5000][320/535][77450] Loss_D: -0.024645 Loss_G: 0.012181 Loss_D_real: -0.013685 Loss_D_fake 0.010960
[752/5000][325/535][77451] Loss_D: -0.022065 Loss_G: -0.010192 Loss_D_real: -0.004619 Loss_D_fake 0.017446
[752/5000][330/535][77452] Loss_D: -0.022492 Loss_G: 0.026222 Loss_D_real: -0.023911 Loss_D_fake -0.001420
[752/5000][335/535][77453] Loss_D: -0.023498 Loss_G: 0.017986 Loss_D_real: -0.028878 Loss_D_fake -0.005380
[752/5000][340/535][77454] Loss_D: -0.024901 Loss_G: -0.001914 Loss_D_real: -0.009091 Loss_D_fake 0.015810
[752/5000][345/535][77455] Loss_D: -0.024624 Loss_G: 0.007829 Loss_D_real: -0.016209 Loss_D_fake 0.008415
[752/5000][350/535][77456] Loss_D: -0.022833 Loss_G: 0.022954 Loss_D_real: -0.023379 Loss_D_fake -0.000546
[752/5000][355/535][77457] Loss_D: -0.024940 Loss_G: 0.008361 Loss_D_real: -0.014358 Loss_D_fake 0.010582
[752/5000][360/535][77458] Loss_D: -0.023522 Loss_G: 0.014858 Loss_D_real: -0.035544 Loss_D_fake -0.012022
[752/5000][365/535][77459] Loss_D: -0.024718 Loss_G: 0.006257 Loss_D_real: -0.023530 Loss_D_fake 0.001188
[752/5000][370/535][77460] Loss_D: -0.022638 Loss_G: 0.023306 Loss_D_real: -0.021641 Loss_D_fake 0.000997
[752/5000][375/535][77461] Loss_D: -0.023691 Loss_G: 0.002543 Loss_D_real: -0.018959 Loss_D_fake 0.004732
[752/5000][380/535][77462] Loss_D: -0.023543 Loss_G: 0.022723 Loss_D_real: -0.027288 Loss_D_fake -0.003744
[752/5000][385/535][77463] Loss_D: -0.024316 Loss_G: 0.012432 Loss_D_real: -0.016325 Loss_D_fake 0.007990
[752/5000][390/535][77464] Loss_D: -0.024476 Loss_G: -0.010268 Loss_D_real: -0.019178 Loss_D_fake 0.005298
[752/5000][395/535][77465] Loss_D: -0.023372 Loss_G: -0.012546 Loss_D_real: -0.007656 Loss_D_fake 0.015716
[752/5000][400/535][77466] Loss_D: -0.022824 Loss_G: 0.005069 Loss_D_real: -0.012874 Loss_D_fake 0.009951
[752/5000][405/535][77467] Loss_D: -0.025198 Loss_G: 0.023249 Loss_D_real: -0.024696 Loss_D_fake 0.000502
[752/5000][410/535][77468] Loss_D: -0.022332 Loss_G: 0.019172 Loss_D_real: -0.034625 Loss_D_fake -0.012292
[752/5000][415/535][77469] Loss_D: -0.025510 Loss_G: 0.009461 Loss_D_real: -0.025537 Loss_D_fake -0.000027
[752/5000][420/535][77470] Loss_D: -0.024878 Loss_G: -0.002348 Loss_D_real: -0.013806 Loss_D_fake 0.011073
[752/5000][425/535][77471] Loss_D: -0.022118 Loss_G: 0.033479 Loss_D_real: -0.034621 Loss_D_fake -0.012503
[752/5000][430/535][77472] Loss_D: -0.023810 Loss_G: 0.024035 Loss_D_real: -0.038590 Loss_D_fake -0.014780
[752/5000][435/535][77473] Loss_D: -0.023349 Loss_G: 0.024368 Loss_D_real: -0.031213 Loss_D_fake -0.007864
[752/5000][440/535][77474] Loss_D: -0.024337 Loss_G: 0.007774 Loss_D_real: -0.012392 Loss_D_fake 0.011945
[752/5000][445/535][77475] Loss_D: -0.024772 Loss_G: 0.026556 Loss_D_real: -0.023473 Loss_D_fake 0.001299
[752/5000][450/535][77476] Loss_D: -0.024477 Loss_G: 0.001430 Loss_D_real: -0.027483 Loss_D_fake -0.003005
[752/5000][455/535][77477] Loss_D: -0.024880 Loss_G: -0.004662 Loss_D_real: -0.015452 Loss_D_fake 0.009429
[752/5000][460/535][77478] Loss_D: -0.025138 Loss_G: 0.014082 Loss_D_real: -0.009660 Loss_D_fake 0.015478
[752/5000][465/535][77479] Loss_D: -0.021495 Loss_G: 0.031522 Loss_D_real: -0.037097 Loss_D_fake -0.015602
[752/5000][470/535][77480] Loss_D: -0.023452 Loss_G: -0.011208 Loss_D_real: -0.007578 Loss_D_fake 0.015874
[752/5000][475/535][77481] Loss_D: -0.024153 Loss_G: 0.017457 Loss_D_real: -0.028536 Loss_D_fake -0.004382
[752/5000][480/535][77482] Loss_D: -0.024556 Loss_G: 0.004800 Loss_D_real: -0.015745 Loss_D_fake 0.008810
[752/5000][485/535][77483] Loss_D: -0.023661 Loss_G: 0.010544 Loss_D_real: -0.020181 Loss_D_fake 0.003480
[752/5000][490/535][77484] Loss_D: -0.025045 Loss_G: -0.012729 Loss_D_real: -0.005971 Loss_D_fake 0.019074
[752/5000][495/535][77485] Loss_D: -0.024275 Loss_G: 0.006147 Loss_D_real: -0.025209 Loss_D_fake -0.000935
[752/5000][500/535][77486] Loss_D: -0.024205 Loss_G: 0.010106 Loss_D_real: -0.022233 Loss_D_fake 0.001972
[752/5000][505/535][77487] Loss_D: -0.024098 Loss_G: 0.023748 Loss_D_real: -0.037274 Loss_D_fake -0.013176
[752/5000][510/535][77488] Loss_D: -0.024021 Loss_G: 0.015486 Loss_D_real: -0.017461 Loss_D_fake 0.006560
[752/5000][515/535][77489] Loss_D: -0.023602 Loss_G: 0.016294 Loss_D_real: -0.029763 Loss_D_fake -0.006162
[752/5000][520/535][77490] Loss_D: -0.024161 Loss_G: 0.018263 Loss_D_real: -0.027730 Loss_D_fake -0.003569
[752/5000][525/535][77491] Loss_D: -0.023384 Loss_G: 0.022603 Loss_D_real: -0.026027 Loss_D_fake -0.002643
[752/5000][530/535][77492] Loss_D: -0.023020 Loss_G: 0.001259 Loss_D_real: -0.014811 Loss_D_fake 0.008209
[752/5000][535/535][77493] Loss_D: -0.022457 Loss_G: -0.004247 Loss_D_real: -0.031867 Loss_D_fake -0.009410
[753/5000][5/535][77494] Loss_D: -0.022967 Loss_G: 0.011783 Loss_D_real: -0.017531 Loss_D_fake 0.005436
[753/5000][10/535][77495] Loss_D: -0.023925 Loss_G: 0.008055 Loss_D_real: -0.017560 Loss_D_fake 0.006364
[753/5000][15/535][77496] Loss_D: -0.022772 Loss_G: 0.021452 Loss_D_real: -0.028911 Loss_D_fake -0.006140
[753/5000][20/535][77497] Loss_D: -0.022246 Loss_G: 0.023404 Loss_D_real: -0.023039 Loss_D_fake -0.000793
[753/5000][25/535][77498] Loss_D: -0.023720 Loss_G: 0.009607 Loss_D_real: -0.028123 Loss_D_fake -0.004403
[753/5000][30/535][77499] Loss_D: -0.023717 Loss_G: 0.020113 Loss_D_real: -0.022290 Loss_D_fake 0.001427
[753/5000][35/535][77500] Loss_D: -0.023838 Loss_G: -0.006865 Loss_D_real: -0.004243 Loss_D_fake 0.019595
[753/5000][135/535][77501] Loss_D: -0.024827 Loss_G: 0.022000 Loss_D_real: -0.017188 Loss_D_fake 0.007639
[753/5000][140/535][77502] Loss_D: -0.021969 Loss_G: -0.011826 Loss_D_real: 0.006858 Loss_D_fake 0.028827
[753/5000][145/535][77503] Loss_D: -0.022498 Loss_G: 0.008834 Loss_D_real: -0.029463 Loss_D_fake -0.006964
[753/5000][150/535][77504] Loss_D: -0.022476 Loss_G: 0.006691 Loss_D_real: -0.022860 Loss_D_fake -0.000384
[753/5000][155/535][77505] Loss_D: -0.023826 Loss_G: 0.015072 Loss_D_real: -0.016712 Loss_D_fake 0.007114
[753/5000][160/535][77506] Loss_D: -0.023348 Loss_G: 0.001711 Loss_D_real: -0.024712 Loss_D_fake -0.001364
[753/5000][165/535][77507] Loss_D: -0.023143 Loss_G: 0.005928 Loss_D_real: -0.015538 Loss_D_fake 0.007604
[753/5000][170/535][77508] Loss_D: -0.023708 Loss_G: 0.024276 Loss_D_real: -0.026262 Loss_D_fake -0.002554
[753/5000][175/535][77509] Loss_D: -0.022553 Loss_G: 0.003300 Loss_D_real: -0.021123 Loss_D_fake 0.001430
[753/5000][180/535][77510] Loss_D: -0.024836 Loss_G: 0.012023 Loss_D_real: -0.018242 Loss_D_fake 0.006594
[753/5000][185/535][77511] Loss_D: -0.024434 Loss_G: 0.000003 Loss_D_real: -0.016444 Loss_D_fake 0.007990
[753/5000][190/535][77512] Loss_D: -0.022365 Loss_G: 0.006711 Loss_D_real: -0.020333 Loss_D_fake 0.002033
[753/5000][195/535][77513] Loss_D: -0.023598 Loss_G: 0.005548 Loss_D_real: -0.020238 Loss_D_fake 0.003360
[753/5000][200/535][77514] Loss_D: -0.024072 Loss_G: 0.020043 Loss_D_real: -0.014576 Loss_D_fake 0.009497
[753/5000][205/535][77515] Loss_D: -0.023156 Loss_G: 0.014716 Loss_D_real: -0.024025 Loss_D_fake -0.000870
[753/5000][210/535][77516] Loss_D: -0.023810 Loss_G: 0.008667 Loss_D_real: -0.020587 Loss_D_fake 0.003222
[753/5000][215/535][77517] Loss_D: -0.022223 Loss_G: -0.003517 Loss_D_real: -0.016287 Loss_D_fake 0.005936
[753/5000][220/535][77518] Loss_D: -0.022457 Loss_G: -0.009460 Loss_D_real: -0.010587 Loss_D_fake 0.011870
[753/5000][225/535][77519] Loss_D: -0.022396 Loss_G: 0.016335 Loss_D_real: -0.022990 Loss_D_fake -0.000594
[753/5000][230/535][77520] Loss_D: -0.023896 Loss_G: 0.009324 Loss_D_real: -0.018092 Loss_D_fake 0.005804
[753/5000][235/535][77521] Loss_D: -0.024961 Loss_G: -0.003085 Loss_D_real: -0.012119 Loss_D_fake 0.012842
[753/5000][240/535][77522] Loss_D: -0.023282 Loss_G: 0.033216 Loss_D_real: -0.028739 Loss_D_fake -0.005457
[753/5000][245/535][77523] Loss_D: -0.023277 Loss_G: 0.005916 Loss_D_real: -0.007601 Loss_D_fake 0.015676
[753/5000][250/535][77524] Loss_D: -0.022992 Loss_G: -0.013442 Loss_D_real: 0.000203 Loss_D_fake 0.023195
[753/5000][255/535][77525] Loss_D: -0.024253 Loss_G: 0.004900 Loss_D_real: -0.013886 Loss_D_fake 0.010367
[753/5000][260/535][77526] Loss_D: -0.024604 Loss_G: 0.017389 Loss_D_real: -0.028656 Loss_D_fake -0.004052
[753/5000][265/535][77527] Loss_D: -0.024919 Loss_G: 0.028446 Loss_D_real: -0.033869 Loss_D_fake -0.008950
[753/5000][270/535][77528] Loss_D: -0.024701 Loss_G: -0.001964 Loss_D_real: -0.011865 Loss_D_fake 0.012835
[753/5000][275/535][77529] Loss_D: -0.024424 Loss_G: 0.021350 Loss_D_real: -0.026124 Loss_D_fake -0.001700
[753/5000][280/535][77530] Loss_D: -0.023118 Loss_G: 0.020492 Loss_D_real: -0.020788 Loss_D_fake 0.002330
[753/5000][285/535][77531] Loss_D: -0.024362 Loss_G: 0.008433 Loss_D_real: -0.024413 Loss_D_fake -0.000051
[753/5000][290/535][77532] Loss_D: -0.023651 Loss_G: 0.018365 Loss_D_real: -0.023544 Loss_D_fake 0.000107
[753/5000][295/535][77533] Loss_D: -0.023207 Loss_G: 0.016901 Loss_D_real: -0.032867 Loss_D_fake -0.009661
[753/5000][300/535][77534] Loss_D: -0.023766 Loss_G: 0.012164 Loss_D_real: -0.015476 Loss_D_fake 0.008290
[753/5000][305/535][77535] Loss_D: -0.022242 Loss_G: 0.023085 Loss_D_real: -0.026042 Loss_D_fake -0.003799
[753/5000][310/535][77536] Loss_D: -0.022916 Loss_G: 0.009719 Loss_D_real: -0.019660 Loss_D_fake 0.003255
[753/5000][315/535][77537] Loss_D: -0.022961 Loss_G: 0.021960 Loss_D_real: -0.036467 Loss_D_fake -0.013505
[753/5000][320/535][77538] Loss_D: -0.024560 Loss_G: -0.000122 Loss_D_real: -0.010094 Loss_D_fake 0.014465
[753/5000][325/535][77539] Loss_D: -0.025147 Loss_G: 0.015589 Loss_D_real: -0.025465 Loss_D_fake -0.000318
[753/5000][330/535][77540] Loss_D: -0.024623 Loss_G: 0.016199 Loss_D_real: -0.015077 Loss_D_fake 0.009546
[753/5000][335/535][77541] Loss_D: -0.022940 Loss_G: 0.012821 Loss_D_real: -0.015093 Loss_D_fake 0.007848
[753/5000][340/535][77542] Loss_D: -0.023264 Loss_G: -0.010529 Loss_D_real: 0.001382 Loss_D_fake 0.024646
[753/5000][345/535][77543] Loss_D: -0.022784 Loss_G: 0.012015 Loss_D_real: -0.016744 Loss_D_fake 0.006041
[753/5000][350/535][77544] Loss_D: -0.023784 Loss_G: 0.013485 Loss_D_real: -0.028627 Loss_D_fake -0.004842
[753/5000][355/535][77545] Loss_D: -0.024478 Loss_G: 0.010457 Loss_D_real: -0.016787 Loss_D_fake 0.007690
[753/5000][360/535][77546] Loss_D: -0.023682 Loss_G: 0.013427 Loss_D_real: -0.012944 Loss_D_fake 0.010739
[753/5000][365/535][77547] Loss_D: -0.022692 Loss_G: 0.014041 Loss_D_real: -0.025486 Loss_D_fake -0.002794
[753/5000][370/535][77548] Loss_D: -0.023209 Loss_G: 0.016623 Loss_D_real: -0.023036 Loss_D_fake 0.000173
[753/5000][375/535][77549] Loss_D: -0.022628 Loss_G: 0.024793 Loss_D_real: -0.042987 Loss_D_fake -0.020359
[753/5000][380/535][77550] Loss_D: -0.024030 Loss_G: -0.008865 Loss_D_real: -0.008591 Loss_D_fake 0.015439
[753/5000][385/535][77551] Loss_D: -0.025363 Loss_G: 0.012074 Loss_D_real: -0.030254 Loss_D_fake -0.004891
[753/5000][390/535][77552] Loss_D: -0.023654 Loss_G: 0.015252 Loss_D_real: -0.035016 Loss_D_fake -0.011362
[753/5000][395/535][77553] Loss_D: -0.024666 Loss_G: 0.008763 Loss_D_real: -0.018386 Loss_D_fake 0.006280
[753/5000][400/535][77554] Loss_D: -0.024861 Loss_G: 0.016236 Loss_D_real: -0.025267 Loss_D_fake -0.000406
[753/5000][405/535][77555] Loss_D: -0.023911 Loss_G: -0.004485 Loss_D_real: -0.009635 Loss_D_fake 0.014276
[753/5000][410/535][77556] Loss_D: -0.022642 Loss_G: 0.037953 Loss_D_real: -0.038892 Loss_D_fake -0.016250
[753/5000][415/535][77557] Loss_D: -0.024033 Loss_G: 0.009062 Loss_D_real: -0.026735 Loss_D_fake -0.002702
[753/5000][420/535][77558] Loss_D: -0.024939 Loss_G: -0.012848 Loss_D_real: -0.013262 Loss_D_fake 0.011678
[753/5000][425/535][77559] Loss_D: -0.024432 Loss_G: 0.010930 Loss_D_real: -0.017040 Loss_D_fake 0.007392
[753/5000][430/535][77560] Loss_D: -0.024171 Loss_G: 0.014550 Loss_D_real: -0.026136 Loss_D_fake -0.001966
[753/5000][435/535][77561] Loss_D: -0.024517 Loss_G: 0.016754 Loss_D_real: -0.019522 Loss_D_fake 0.004995
[753/5000][440/535][77562] Loss_D: -0.024490 Loss_G: 0.024335 Loss_D_real: -0.031814 Loss_D_fake -0.007324
[753/5000][445/535][77563] Loss_D: -0.022370 Loss_G: -0.010721 Loss_D_real: -0.007144 Loss_D_fake 0.015226
[753/5000][450/535][77564] Loss_D: -0.023276 Loss_G: 0.016026 Loss_D_real: -0.018969 Loss_D_fake 0.004307
[753/5000][455/535][77565] Loss_D: -0.023269 Loss_G: 0.010958 Loss_D_real: -0.020646 Loss_D_fake 0.002622
[753/5000][460/535][77566] Loss_D: -0.024431 Loss_G: 0.013418 Loss_D_real: -0.013539 Loss_D_fake 0.010892
[753/5000][465/535][77567] Loss_D: -0.021679 Loss_G: -0.018934 Loss_D_real: 0.010441 Loss_D_fake 0.032120
[753/5000][470/535][77568] Loss_D: -0.023783 Loss_G: 0.007380 Loss_D_real: -0.022616 Loss_D_fake 0.001167
[753/5000][475/535][77569] Loss_D: -0.024686 Loss_G: 0.001664 Loss_D_real: -0.021891 Loss_D_fake 0.002795
[753/5000][480/535][77570] Loss_D: -0.023929 Loss_G: 0.009042 Loss_D_real: -0.018277 Loss_D_fake 0.005653
[753/5000][485/535][77571] Loss_D: -0.025188 Loss_G: 0.016491 Loss_D_real: -0.027835 Loss_D_fake -0.002647
[753/5000][490/535][77572] Loss_D: -0.023423 Loss_G: 0.014820 Loss_D_real: -0.013356 Loss_D_fake 0.010066
[753/5000][495/535][77573] Loss_D: -0.024136 Loss_G: 0.013403 Loss_D_real: -0.036554 Loss_D_fake -0.012418
[753/5000][500/535][77574] Loss_D: -0.024856 Loss_G: 0.021402 Loss_D_real: -0.025568 Loss_D_fake -0.000712
[753/5000][505/535][77575] Loss_D: -0.023492 Loss_G: -0.003519 Loss_D_real: -0.010836 Loss_D_fake 0.012656
[753/5000][510/535][77576] Loss_D: -0.022466 Loss_G: 0.014176 Loss_D_real: -0.035436 Loss_D_fake -0.012970
[753/5000][515/535][77577] Loss_D: -0.024344 Loss_G: 0.006423 Loss_D_real: -0.017581 Loss_D_fake 0.006763
[753/5000][520/535][77578] Loss_D: -0.024386 Loss_G: 0.006036 Loss_D_real: -0.012813 Loss_D_fake 0.011573
[753/5000][525/535][77579] Loss_D: -0.020892 Loss_G: -0.017493 Loss_D_real: -0.001299 Loss_D_fake 0.019593
[753/5000][530/535][77580] Loss_D: -0.022943 Loss_G: 0.010998 Loss_D_real: -0.018887 Loss_D_fake 0.004056
[753/5000][535/535][77581] Loss_D: -0.026592 Loss_G: -0.021654 Loss_D_real: -0.021752 Loss_D_fake 0.004840
[754/5000][5/535][77582] Loss_D: -0.023955 Loss_G: 0.009484 Loss_D_real: -0.015766 Loss_D_fake 0.008189
[754/5000][10/535][77583] Loss_D: -0.024070 Loss_G: 0.007477 Loss_D_real: -0.015798 Loss_D_fake 0.008272
[754/5000][15/535][77584] Loss_D: -0.023315 Loss_G: 0.010047 Loss_D_real: -0.017500 Loss_D_fake 0.005815
[754/5000][20/535][77585] Loss_D: -0.024400 Loss_G: 0.014685 Loss_D_real: -0.020511 Loss_D_fake 0.003889
[754/5000][25/535][77586] Loss_D: -0.022912 Loss_G: 0.027621 Loss_D_real: -0.030018 Loss_D_fake -0.007106
[754/5000][30/535][77587] Loss_D: -0.022439 Loss_G: 0.009562 Loss_D_real: -0.026037 Loss_D_fake -0.003598
[754/5000][35/535][77588] Loss_D: -0.023598 Loss_G: -0.003351 Loss_D_real: -0.007357 Loss_D_fake 0.016241
[754/5000][40/535][77589] Loss_D: -0.024367 Loss_G: 0.018439 Loss_D_real: -0.029331 Loss_D_fake -0.004964
[754/5000][45/535][77590] Loss_D: -0.024343 Loss_G: 0.026987 Loss_D_real: -0.040444 Loss_D_fake -0.016101
[754/5000][50/535][77591] Loss_D: -0.024105 Loss_G: 0.008504 Loss_D_real: -0.019872 Loss_D_fake 0.004233
[754/5000][55/535][77592] Loss_D: -0.023160 Loss_G: 0.020813 Loss_D_real: -0.032098 Loss_D_fake -0.008938
[754/5000][60/535][77593] Loss_D: -0.025442 Loss_G: -0.005801 Loss_D_real: -0.011617 Loss_D_fake 0.013825
[754/5000][65/535][77594] Loss_D: -0.024951 Loss_G: -0.006420 Loss_D_real: -0.013622 Loss_D_fake 0.011330
[754/5000][70/535][77595] Loss_D: -0.022587 Loss_G: 0.028975 Loss_D_real: -0.034903 Loss_D_fake -0.012316
[754/5000][75/535][77596] Loss_D: -0.022316 Loss_G: -0.003562 Loss_D_real: -0.016290 Loss_D_fake 0.006026
[754/5000][80/535][77597] Loss_D: -0.023165 Loss_G: 0.027312 Loss_D_real: -0.026823 Loss_D_fake -0.003658
[754/5000][85/535][77598] Loss_D: -0.023817 Loss_G: 0.005056 Loss_D_real: -0.018642 Loss_D_fake 0.005174
[754/5000][90/535][77599] Loss_D: -0.023390 Loss_G: 0.009417 Loss_D_real: -0.015552 Loss_D_fake 0.007838
[754/5000][95/535][77600] Loss_D: -0.023922 Loss_G: 0.010369 Loss_D_real: -0.013559 Loss_D_fake 0.010363
[754/5000][100/535][77601] Loss_D: -0.023404 Loss_G: 0.007218 Loss_D_real: -0.019815 Loss_D_fake 0.003589
[754/5000][105/535][77602] Loss_D: -0.022960 Loss_G: 0.013840 Loss_D_real: -0.027690 Loss_D_fake -0.004730
[754/5000][110/535][77603] Loss_D: -0.025486 Loss_G: 0.006307 Loss_D_real: -0.006961 Loss_D_fake 0.018526
[754/5000][115/535][77604] Loss_D: -0.024013 Loss_G: 0.004791 Loss_D_real: -0.011029 Loss_D_fake 0.012984
[754/5000][120/535][77605] Loss_D: -0.024878 Loss_G: 0.012142 Loss_D_real: -0.016438 Loss_D_fake 0.008439
[754/5000][125/535][77606] Loss_D: -0.023245 Loss_G: 0.010819 Loss_D_real: -0.017722 Loss_D_fake 0.005524
[754/5000][130/535][77607] Loss_D: -0.025060 Loss_G: 0.002286 Loss_D_real: -0.015292 Loss_D_fake 0.009768
[754/5000][135/535][77608] Loss_D: -0.022576 Loss_G: 0.016439 Loss_D_real: -0.027085 Loss_D_fake -0.004509
[754/5000][140/535][77609] Loss_D: -0.023880 Loss_G: 0.003955 Loss_D_real: -0.011208 Loss_D_fake 0.012672
[754/5000][145/535][77610] Loss_D: -0.023753 Loss_G: 0.005671 Loss_D_real: -0.013517 Loss_D_fake 0.010236
[754/5000][150/535][77611] Loss_D: -0.022465 Loss_G: 0.022848 Loss_D_real: -0.033407 Loss_D_fake -0.010942
[754/5000][155/535][77612] Loss_D: -0.023203 Loss_G: 0.010686 Loss_D_real: -0.026528 Loss_D_fake -0.003325
[754/5000][160/535][77613] Loss_D: -0.024680 Loss_G: 0.018378 Loss_D_real: -0.032744 Loss_D_fake -0.008064
[754/5000][165/535][77614] Loss_D: -0.023871 Loss_G: 0.017130 Loss_D_real: -0.038429 Loss_D_fake -0.014557
[754/5000][170/535][77615] Loss_D: -0.024764 Loss_G: 0.014800 Loss_D_real: -0.011370 Loss_D_fake 0.013394
[754/5000][175/535][77616] Loss_D: -0.025645 Loss_G: 0.001004 Loss_D_real: -0.004679 Loss_D_fake 0.020966
[754/5000][180/535][77617] Loss_D: -0.023585 Loss_G: -0.004745 Loss_D_real: -0.006299 Loss_D_fake 0.017286
[754/5000][185/535][77618] Loss_D: -0.024325 Loss_G: 0.021327 Loss_D_real: -0.025339 Loss_D_fake -0.001013
[754/5000][190/535][77619] Loss_D: -0.024813 Loss_G: 0.002744 Loss_D_real: -0.010632 Loss_D_fake 0.014181
[754/5000][195/535][77620] Loss_D: -0.024605 Loss_G: 0.012918 Loss_D_real: -0.033838 Loss_D_fake -0.009234
[754/5000][200/535][77621] Loss_D: -0.024980 Loss_G: 0.008832 Loss_D_real: -0.015349 Loss_D_fake 0.009631
[754/5000][205/535][77622] Loss_D: -0.024575 Loss_G: 0.008660 Loss_D_real: -0.021525 Loss_D_fake 0.003050
[754/5000][210/535][77623] Loss_D: -0.024374 Loss_G: -0.003368 Loss_D_real: -0.017455 Loss_D_fake 0.006919
[754/5000][215/535][77624] Loss_D: -0.024593 Loss_G: 0.021890 Loss_D_real: -0.028605 Loss_D_fake -0.004012
[754/5000][220/535][77625] Loss_D: -0.024073 Loss_G: 0.002460 Loss_D_real: -0.021428 Loss_D_fake 0.002645
[754/5000][225/535][77626] Loss_D: -0.022251 Loss_G: 0.024657 Loss_D_real: -0.025637 Loss_D_fake -0.003386
[754/5000][230/535][77627] Loss_D: -0.025218 Loss_G: 0.010627 Loss_D_real: -0.020143 Loss_D_fake 0.005074
[754/5000][235/535][77628] Loss_D: -0.023977 Loss_G: -0.004357 Loss_D_real: -0.007249 Loss_D_fake 0.016728
[754/5000][240/535][77629] Loss_D: -0.022937 Loss_G: 0.016753 Loss_D_real: -0.030718 Loss_D_fake -0.007781
[754/5000][245/535][77630] Loss_D: -0.024805 Loss_G: -0.008695 Loss_D_real: -0.007623 Loss_D_fake 0.017182
[754/5000][250/535][77631] Loss_D: -0.024225 Loss_G: 0.003800 Loss_D_real: -0.012662 Loss_D_fake 0.011563
[754/5000][255/535][77632] Loss_D: -0.023720 Loss_G: 0.013366 Loss_D_real: -0.019738 Loss_D_fake 0.003983
[754/5000][260/535][77633] Loss_D: -0.025167 Loss_G: 0.018389 Loss_D_real: -0.024428 Loss_D_fake 0.000739
[754/5000][265/535][77634] Loss_D: -0.023843 Loss_G: 0.018634 Loss_D_real: -0.022007 Loss_D_fake 0.001835
[754/5000][270/535][77635] Loss_D: -0.023661 Loss_G: 0.010186 Loss_D_real: -0.017134 Loss_D_fake 0.006527
[754/5000][275/535][77636] Loss_D: -0.024188 Loss_G: 0.010436 Loss_D_real: -0.019443 Loss_D_fake 0.004746
[754/5000][280/535][77637] Loss_D: -0.024391 Loss_G: 0.020107 Loss_D_real: -0.025160 Loss_D_fake -0.000769
[754/5000][285/535][77638] Loss_D: -0.024164 Loss_G: 0.002819 Loss_D_real: -0.001295 Loss_D_fake 0.022869
[754/5000][290/535][77639] Loss_D: -0.023692 Loss_G: 0.013477 Loss_D_real: -0.017873 Loss_D_fake 0.005819
[754/5000][295/535][77640] Loss_D: -0.022852 Loss_G: -0.009031 Loss_D_real: -0.011895 Loss_D_fake 0.010956
[754/5000][300/535][77641] Loss_D: -0.022731 Loss_G: -0.012232 Loss_D_real: 0.002664 Loss_D_fake 0.025395
[754/5000][305/535][77642] Loss_D: -0.023592 Loss_G: 0.002106 Loss_D_real: -0.022056 Loss_D_fake 0.001536
[754/5000][310/535][77643] Loss_D: -0.022855 Loss_G: 0.029336 Loss_D_real: -0.026601 Loss_D_fake -0.003747
[754/5000][315/535][77644] Loss_D: -0.025475 Loss_G: -0.003965 Loss_D_real: -0.021001 Loss_D_fake 0.004474
[754/5000][320/535][77645] Loss_D: -0.022665 Loss_G: 0.023620 Loss_D_real: -0.023331 Loss_D_fake -0.000666
[754/5000][325/535][77646] Loss_D: -0.023936 Loss_G: 0.000586 Loss_D_real: -0.007930 Loss_D_fake 0.016006
[754/5000][330/535][77647] Loss_D: -0.023403 Loss_G: 0.028293 Loss_D_real: -0.031587 Loss_D_fake -0.008185
[754/5000][335/535][77648] Loss_D: -0.023554 Loss_G: 0.005581 Loss_D_real: -0.004763 Loss_D_fake 0.018791
[754/5000][340/535][77649] Loss_D: -0.022758 Loss_G: -0.010821 Loss_D_real: -0.000216 Loss_D_fake 0.022542
[754/5000][345/535][77650] Loss_D: -0.023126 Loss_G: 0.013770 Loss_D_real: -0.024452 Loss_D_fake -0.001326
[754/5000][350/535][77651] Loss_D: -0.023106 Loss_G: 0.015237 Loss_D_real: -0.018838 Loss_D_fake 0.004268
[754/5000][355/535][77652] Loss_D: -0.023987 Loss_G: -0.005029 Loss_D_real: -0.012489 Loss_D_fake 0.011498
[754/5000][360/535][77653] Loss_D: -0.024131 Loss_G: -0.003957 Loss_D_real: -0.013580 Loss_D_fake 0.010550
[754/5000][365/535][77654] Loss_D: -0.022395 Loss_G: 0.028159 Loss_D_real: -0.028169 Loss_D_fake -0.005774
[754/5000][370/535][77655] Loss_D: -0.024017 Loss_G: 0.006134 Loss_D_real: -0.008303 Loss_D_fake 0.015714
[754/5000][375/535][77656] Loss_D: -0.023672 Loss_G: 0.005384 Loss_D_real: -0.020427 Loss_D_fake 0.003245
[754/5000][380/535][77657] Loss_D: -0.024339 Loss_G: -0.007027 Loss_D_real: -0.017645 Loss_D_fake 0.006694
[754/5000][385/535][77658] Loss_D: -0.025468 Loss_G: 0.021538 Loss_D_real: -0.027624 Loss_D_fake -0.002155
[754/5000][390/535][77659] Loss_D: -0.023044 Loss_G: 0.001677 Loss_D_real: -0.004117 Loss_D_fake 0.018927
[754/5000][395/535][77660] Loss_D: -0.022264 Loss_G: 0.025547 Loss_D_real: -0.036490 Loss_D_fake -0.014226
[754/5000][400/535][77661] Loss_D: -0.024731 Loss_G: 0.008966 Loss_D_real: -0.022849 Loss_D_fake 0.001883
[754/5000][405/535][77662] Loss_D: -0.024321 Loss_G: 0.022556 Loss_D_real: -0.034977 Loss_D_fake -0.010656
[754/5000][410/535][77663] Loss_D: -0.024268 Loss_G: 0.004738 Loss_D_real: -0.012348 Loss_D_fake 0.011920
[754/5000][415/535][77664] Loss_D: -0.023609 Loss_G: -0.003513 Loss_D_real: -0.014633 Loss_D_fake 0.008976
[754/5000][420/535][77665] Loss_D: -0.025423 Loss_G: 0.005273 Loss_D_real: -0.012221 Loss_D_fake 0.013202
[754/5000][425/535][77666] Loss_D: -0.024248 Loss_G: 0.019258 Loss_D_real: -0.022625 Loss_D_fake 0.001623
[754/5000][430/535][77667] Loss_D: -0.023810 Loss_G: 0.015402 Loss_D_real: -0.020103 Loss_D_fake 0.003707
[754/5000][435/535][77668] Loss_D: -0.023376 Loss_G: 0.036129 Loss_D_real: -0.034111 Loss_D_fake -0.010736
[754/5000][440/535][77669] Loss_D: -0.023853 Loss_G: 0.001397 Loss_D_real: -0.021148 Loss_D_fake 0.002705
[754/5000][445/535][77670] Loss_D: -0.024370 Loss_G: 0.008497 Loss_D_real: -0.020727 Loss_D_fake 0.003643
[754/5000][450/535][77671] Loss_D: -0.022991 Loss_G: 0.032440 Loss_D_real: -0.035343 Loss_D_fake -0.012352
[754/5000][455/535][77672] Loss_D: -0.023021 Loss_G: 0.000669 Loss_D_real: 0.002587 Loss_D_fake 0.025608
[754/5000][460/535][77673] Loss_D: -0.024568 Loss_G: 0.007672 Loss_D_real: -0.013370 Loss_D_fake 0.011198
[754/5000][465/535][77674] Loss_D: -0.024573 Loss_G: -0.009844 Loss_D_real: -0.009484 Loss_D_fake 0.015090
[754/5000][470/535][77675] Loss_D: -0.023432 Loss_G: 0.028435 Loss_D_real: -0.030576 Loss_D_fake -0.007145
[754/5000][475/535][77676] Loss_D: -0.023221 Loss_G: 0.021389 Loss_D_real: -0.032320 Loss_D_fake -0.009098
[754/5000][480/535][77677] Loss_D: -0.024140 Loss_G: -0.004063 Loss_D_real: -0.013125 Loss_D_fake 0.011014
[754/5000][485/535][77678] Loss_D: -0.023951 Loss_G: 0.006770 Loss_D_real: -0.024535 Loss_D_fake -0.000584
[754/5000][490/535][77679] Loss_D: -0.024068 Loss_G: 0.020652 Loss_D_real: -0.028948 Loss_D_fake -0.004880
[754/5000][495/535][77680] Loss_D: -0.023748 Loss_G: -0.008285 Loss_D_real: 0.000197 Loss_D_fake 0.023946
[754/5000][500/535][77681] Loss_D: -0.025299 Loss_G: 0.022167 Loss_D_real: -0.020400 Loss_D_fake 0.004898
[754/5000][505/535][77682] Loss_D: -0.023684 Loss_G: 0.005075 Loss_D_real: -0.029075 Loss_D_fake -0.005391
[754/5000][510/535][77683] Loss_D: -0.024503 Loss_G: 0.009973 Loss_D_real: -0.018677 Loss_D_fake 0.005827
[754/5000][515/535][77684] Loss_D: -0.024617 Loss_G: 0.015586 Loss_D_real: -0.026328 Loss_D_fake -0.001711
[754/5000][520/535][77685] Loss_D: -0.025551 Loss_G: 0.019392 Loss_D_real: -0.013498 Loss_D_fake 0.012053
[754/5000][525/535][77686] Loss_D: -0.023155 Loss_G: -0.008664 Loss_D_real: -0.010034 Loss_D_fake 0.013121
[754/5000][530/535][77687] Loss_D: -0.023743 Loss_G: -0.017117 Loss_D_real: -0.003520 Loss_D_fake 0.020223
[754/5000][535/535][77688] Loss_D: -0.023994 Loss_G: 0.031164 Loss_D_real: -0.017393 Loss_D_fake 0.006602
[755/5000][5/535][77689] Loss_D: -0.022654 Loss_G: 0.012807 Loss_D_real: -0.018434 Loss_D_fake 0.004221
[755/5000][10/535][77690] Loss_D: -0.022783 Loss_G: -0.005111 Loss_D_real: -0.002527 Loss_D_fake 0.020257
[755/5000][15/535][77691] Loss_D: -0.023218 Loss_G: 0.010913 Loss_D_real: -0.026606 Loss_D_fake -0.003388
[755/5000][20/535][77692] Loss_D: -0.023402 Loss_G: 0.009454 Loss_D_real: -0.013630 Loss_D_fake 0.009771
[755/5000][25/535][77693] Loss_D: -0.022907 Loss_G: -0.003523 Loss_D_real: -0.011821 Loss_D_fake 0.011086
[755/5000][30/535][77694] Loss_D: -0.023378 Loss_G: 0.003189 Loss_D_real: -0.017949 Loss_D_fake 0.005429
[755/5000][35/535][77695] Loss_D: -0.024596 Loss_G: 0.018986 Loss_D_real: -0.020769 Loss_D_fake 0.003828
[755/5000][40/535][77696] Loss_D: -0.023970 Loss_G: 0.020937 Loss_D_real: -0.026402 Loss_D_fake -0.002432
[755/5000][45/535][77697] Loss_D: -0.023461 Loss_G: 0.003711 Loss_D_real: -0.022246 Loss_D_fake 0.001215
[755/5000][50/535][77698] Loss_D: -0.023380 Loss_G: 0.018168 Loss_D_real: -0.024151 Loss_D_fake -0.000771
[755/5000][55/535][77699] Loss_D: -0.022829 Loss_G: 0.007404 Loss_D_real: -0.003571 Loss_D_fake 0.019258
[755/5000][60/535][77700] Loss_D: -0.022758 Loss_G: 0.003169 Loss_D_real: -0.025164 Loss_D_fake -0.002406
[755/5000][65/535][77701] Loss_D: -0.024015 Loss_G: 0.006123 Loss_D_real: -0.007518 Loss_D_fake 0.016497
[755/5000][70/535][77702] Loss_D: -0.023128 Loss_G: 0.006799 Loss_D_real: -0.021345 Loss_D_fake 0.001783
[755/5000][75/535][77703] Loss_D: -0.023673 Loss_G: 0.026942 Loss_D_real: -0.033509 Loss_D_fake -0.009836
[755/5000][80/535][77704] Loss_D: -0.023843 Loss_G: 0.019521 Loss_D_real: -0.023870 Loss_D_fake -0.000027
[755/5000][85/535][77705] Loss_D: -0.024633 Loss_G: -0.001405 Loss_D_real: -0.024878 Loss_D_fake -0.000245
[755/5000][90/535][77706] Loss_D: -0.023947 Loss_G: 0.014035 Loss_D_real: -0.023081 Loss_D_fake 0.000866
[755/5000][95/535][77707] Loss_D: -0.024145 Loss_G: -0.004925 Loss_D_real: -0.001821 Loss_D_fake 0.022324
[755/5000][100/535][77708] Loss_D: -0.022846 Loss_G: 0.021040 Loss_D_real: -0.034459 Loss_D_fake -0.011614
[755/5000][105/535][77709] Loss_D: -0.022537 Loss_G: 0.003953 Loss_D_real: -0.000778 Loss_D_fake 0.021759
[755/5000][110/535][77710] Loss_D: -0.024009 Loss_G: 0.017841 Loss_D_real: -0.019458 Loss_D_fake 0.004552
[755/5000][115/535][77711] Loss_D: -0.025041 Loss_G: 0.017899 Loss_D_real: -0.020333 Loss_D_fake 0.004708
[755/5000][120/535][77712] Loss_D: -0.025182 Loss_G: 0.009170 Loss_D_real: -0.027811 Loss_D_fake -0.002629
[755/5000][125/535][77713] Loss_D: -0.023852 Loss_G: -0.003030 Loss_D_real: -0.015505 Loss_D_fake 0.008347
[755/5000][130/535][77714] Loss_D: -0.023096 Loss_G: 0.012613 Loss_D_real: -0.023221 Loss_D_fake -0.000125
[755/5000][135/535][77715] Loss_D: -0.022264 Loss_G: -0.019122 Loss_D_real: 0.000385 Loss_D_fake 0.022649
[755/5000][140/535][77716] Loss_D: -0.021814 Loss_G: 0.008754 Loss_D_real: -0.018407 Loss_D_fake 0.003407
[755/5000][145/535][77717] Loss_D: -0.022944 Loss_G: 0.011092 Loss_D_real: -0.018101 Loss_D_fake 0.004842
[755/5000][150/535][77718] Loss_D: -0.024569 Loss_G: 0.017356 Loss_D_real: -0.016611 Loss_D_fake 0.007957
[755/5000][155/535][77719] Loss_D: -0.024168 Loss_G: 0.015033 Loss_D_real: -0.032411 Loss_D_fake -0.008242
[755/5000][160/535][77720] Loss_D: -0.023894 Loss_G: 0.007357 Loss_D_real: -0.012761 Loss_D_fake 0.011133
[755/5000][165/535][77721] Loss_D: -0.022910 Loss_G: 0.022147 Loss_D_real: -0.030720 Loss_D_fake -0.007811
[755/5000][170/535][77722] Loss_D: -0.024000 Loss_G: 0.018028 Loss_D_real: -0.029065 Loss_D_fake -0.005065
[755/5000][175/535][77723] Loss_D: -0.025543 Loss_G: 0.025294 Loss_D_real: -0.029998 Loss_D_fake -0.004455
[755/5000][180/535][77724] Loss_D: -0.024924 Loss_G: 0.012554 Loss_D_real: -0.019369 Loss_D_fake 0.005554
[755/5000][185/535][77725] Loss_D: -0.023975 Loss_G: 0.017082 Loss_D_real: -0.020054 Loss_D_fake 0.003921
[755/5000][190/535][77726] Loss_D: -0.026127 Loss_G: 0.011372 Loss_D_real: -0.016672 Loss_D_fake 0.009455
[755/5000][195/535][77727] Loss_D: -0.025212 Loss_G: 0.009996 Loss_D_real: -0.019822 Loss_D_fake 0.005390
[755/5000][200/535][77728] Loss_D: -0.023015 Loss_G: -0.005654 Loss_D_real: -0.003784 Loss_D_fake 0.019231
[755/5000][205/535][77729] Loss_D: -0.024370 Loss_G: 0.013075 Loss_D_real: -0.021698 Loss_D_fake 0.002672
[755/5000][210/535][77730] Loss_D: -0.023993 Loss_G: 0.014681 Loss_D_real: -0.017544 Loss_D_fake 0.006449
[755/5000][215/535][77731] Loss_D: -0.022794 Loss_G: 0.017418 Loss_D_real: -0.028611 Loss_D_fake -0.005818
[755/5000][220/535][77732] Loss_D: -0.025141 Loss_G: -0.000117 Loss_D_real: -0.013593 Loss_D_fake 0.011548
[755/5000][225/535][77733] Loss_D: -0.021882 Loss_G: 0.018918 Loss_D_real: -0.018829 Loss_D_fake 0.003053
[755/5000][230/535][77734] Loss_D: -0.023418 Loss_G: 0.017211 Loss_D_real: -0.032455 Loss_D_fake -0.009037
[755/5000][235/535][77735] Loss_D: -0.024242 Loss_G: 0.002983 Loss_D_real: -0.016067 Loss_D_fake 0.008176
[755/5000][240/535][77736] Loss_D: -0.022860 Loss_G: -0.023411 Loss_D_real: -0.004762 Loss_D_fake 0.018099
[755/5000][245/535][77737] Loss_D: -0.023807 Loss_G: 0.008055 Loss_D_real: -0.020232 Loss_D_fake 0.003575
[755/5000][250/535][77738] Loss_D: -0.025302 Loss_G: 0.027474 Loss_D_real: -0.026453 Loss_D_fake -0.001152
[755/5000][255/535][77739] Loss_D: -0.022798 Loss_G: 0.002340 Loss_D_real: -0.011578 Loss_D_fake 0.011219
[755/5000][260/535][77740] Loss_D: -0.022942 Loss_G: 0.020367 Loss_D_real: -0.035323 Loss_D_fake -0.012381
[755/5000][265/535][77741] Loss_D: -0.024720 Loss_G: 0.022056 Loss_D_real: -0.027287 Loss_D_fake -0.002567
[755/5000][270/535][77742] Loss_D: -0.023646 Loss_G: -0.009852 Loss_D_real: -0.012563 Loss_D_fake 0.011084
[755/5000][275/535][77743] Loss_D: -0.024495 Loss_G: 0.005817 Loss_D_real: -0.014752 Loss_D_fake 0.009743
[755/5000][280/535][77744] Loss_D: -0.024953 Loss_G: 0.003283 Loss_D_real: -0.016421 Loss_D_fake 0.008532
[755/5000][285/535][77745] Loss_D: -0.023596 Loss_G: 0.026245 Loss_D_real: -0.035718 Loss_D_fake -0.012123
[755/5000][290/535][77746] Loss_D: -0.024270 Loss_G: -0.000342 Loss_D_real: -0.002775 Loss_D_fake 0.021495
[755/5000][295/535][77747] Loss_D: -0.022803 Loss_G: -0.008304 Loss_D_real: -0.004325 Loss_D_fake 0.018478
[755/5000][300/535][77748] Loss_D: -0.023225 Loss_G: 0.020740 Loss_D_real: -0.024787 Loss_D_fake -0.001562
[755/5000][305/535][77749] Loss_D: -0.023199 Loss_G: 0.002629 Loss_D_real: -0.008901 Loss_D_fake 0.014298
[755/5000][310/535][77750] Loss_D: -0.024636 Loss_G: 0.013216 Loss_D_real: -0.020889 Loss_D_fake 0.003747
[755/5000][315/535][77751] Loss_D: -0.023734 Loss_G: 0.014077 Loss_D_real: -0.022658 Loss_D_fake 0.001076
[755/5000][320/535][77752] Loss_D: -0.024226 Loss_G: 0.024323 Loss_D_real: -0.031016 Loss_D_fake -0.006789
[755/5000][325/535][77753] Loss_D: -0.023853 Loss_G: -0.003339 Loss_D_real: -0.011484 Loss_D_fake 0.012369
[755/5000][330/535][77754] Loss_D: -0.023283 Loss_G: 0.013977 Loss_D_real: -0.036927 Loss_D_fake -0.013643
[755/5000][335/535][77755] Loss_D: -0.024049 Loss_G: 0.005725 Loss_D_real: -0.011455 Loss_D_fake 0.012595
[755/5000][340/535][77756] Loss_D: -0.023055 Loss_G: 0.012954 Loss_D_real: -0.022739 Loss_D_fake 0.000317
[755/5000][345/535][77757] Loss_D: -0.023624 Loss_G: 0.006045 Loss_D_real: -0.022381 Loss_D_fake 0.001243
[755/5000][350/535][77758] Loss_D: -0.022987 Loss_G: 0.018006 Loss_D_real: -0.019908 Loss_D_fake 0.003079
[755/5000][355/535][77759] Loss_D: -0.023992 Loss_G: 0.027835 Loss_D_real: -0.028643 Loss_D_fake -0.004652
[755/5000][360/535][77760] Loss_D: -0.024550 Loss_G: 0.007565 Loss_D_real: -0.015908 Loss_D_fake 0.008642
[755/5000][365/535][77761] Loss_D: -0.023472 Loss_G: 0.016235 Loss_D_real: -0.024526 Loss_D_fake -0.001054
[755/5000][370/535][77762] Loss_D: -0.024378 Loss_G: 0.008193 Loss_D_real: -0.025147 Loss_D_fake -0.000769
[755/5000][375/535][77763] Loss_D: -0.023548 Loss_G: 0.001384 Loss_D_real: -0.010573 Loss_D_fake 0.012975
[755/5000][380/535][77764] Loss_D: -0.023668 Loss_G: -0.001159 Loss_D_real: -0.010421 Loss_D_fake 0.013247
[755/5000][385/535][77765] Loss_D: -0.025731 Loss_G: 0.010932 Loss_D_real: -0.016639 Loss_D_fake 0.009092
[755/5000][390/535][77766] Loss_D: -0.023463 Loss_G: 0.011879 Loss_D_real: -0.024503 Loss_D_fake -0.001040
[755/5000][395/535][77767] Loss_D: -0.023252 Loss_G: 0.026600 Loss_D_real: -0.032828 Loss_D_fake -0.009576
[755/5000][400/535][77768] Loss_D: -0.022046 Loss_G: -0.004574 Loss_D_real: 0.003723 Loss_D_fake 0.025769
[755/5000][405/535][77769] Loss_D: -0.022606 Loss_G: 0.015167 Loss_D_real: -0.029252 Loss_D_fake -0.006646
[755/5000][410/535][77770] Loss_D: -0.023078 Loss_G: 0.025302 Loss_D_real: -0.026804 Loss_D_fake -0.003727
[755/5000][415/535][77771] Loss_D: -0.023482 Loss_G: -0.005171 Loss_D_real: -0.007253 Loss_D_fake 0.016229
[755/5000][420/535][77772] Loss_D: -0.023911 Loss_G: 0.013809 Loss_D_real: -0.016859 Loss_D_fake 0.007052
[755/5000][425/535][77773] Loss_D: -0.023553 Loss_G: 0.005351 Loss_D_real: -0.018053 Loss_D_fake 0.005501
[755/5000][430/535][77774] Loss_D: -0.022708 Loss_G: 0.003256 Loss_D_real: -0.017196 Loss_D_fake 0.005512
[755/5000][435/535][77775] Loss_D: -0.022458 Loss_G: 0.018095 Loss_D_real: -0.024130 Loss_D_fake -0.001671
[755/5000][440/535][77776] Loss_D: -0.025627 Loss_G: 0.018203 Loss_D_real: -0.021885 Loss_D_fake 0.003742
[755/5000][445/535][77777] Loss_D: -0.024280 Loss_G: -0.007047 Loss_D_real: -0.011164 Loss_D_fake 0.013116
[755/5000][450/535][77778] Loss_D: -0.024141 Loss_G: -0.000352 Loss_D_real: -0.007414 Loss_D_fake 0.016727
[755/5000][455/535][77779] Loss_D: -0.024383 Loss_G: 0.016341 Loss_D_real: -0.014663 Loss_D_fake 0.009720
[755/5000][460/535][77780] Loss_D: -0.023996 Loss_G: 0.010346 Loss_D_real: -0.016469 Loss_D_fake 0.007527
[755/5000][465/535][77781] Loss_D: -0.022807 Loss_G: 0.001685 Loss_D_real: -0.012628 Loss_D_fake 0.010179
[755/5000][470/535][77782] Loss_D: -0.023005 Loss_G: 0.020110 Loss_D_real: -0.036096 Loss_D_fake -0.013091
[755/5000][475/535][77783] Loss_D: -0.024866 Loss_G: 0.003574 Loss_D_real: -0.017959 Loss_D_fake 0.006907
[755/5000][480/535][77784] Loss_D: -0.023785 Loss_G: -0.000365 Loss_D_real: -0.016459 Loss_D_fake 0.007326
[755/5000][485/535][77785] Loss_D: -0.024516 Loss_G: 0.009893 Loss_D_real: -0.019756 Loss_D_fake 0.004759
[755/5000][490/535][77786] Loss_D: -0.025034 Loss_G: 0.010977 Loss_D_real: -0.012617 Loss_D_fake 0.012416
[755/5000][495/535][77787] Loss_D: -0.023889 Loss_G: 0.022473 Loss_D_real: -0.035741 Loss_D_fake -0.011851
[755/5000][500/535][77788] Loss_D: -0.022056 Loss_G: 0.004078 Loss_D_real: -0.023969 Loss_D_fake -0.001913
[755/5000][505/535][77789] Loss_D: -0.023438 Loss_G: 0.011548 Loss_D_real: -0.034823 Loss_D_fake -0.011385
[755/5000][510/535][77790] Loss_D: -0.024434 Loss_G: 0.003763 Loss_D_real: -0.004760 Loss_D_fake 0.019674
[755/5000][515/535][77791] Loss_D: -0.025018 Loss_G: 0.000791 Loss_D_real: -0.030738 Loss_D_fake -0.005720
[755/5000][520/535][77792] Loss_D: -0.023468 Loss_G: 0.016595 Loss_D_real: -0.019802 Loss_D_fake 0.003666
[755/5000][525/535][77793] Loss_D: -0.024000 Loss_G: 0.018116 Loss_D_real: -0.024972 Loss_D_fake -0.000972
[755/5000][530/535][77794] Loss_D: -0.022738 Loss_G: 0.016651 Loss_D_real: -0.019023 Loss_D_fake 0.003716
[755/5000][535/535][77795] Loss_D: -0.021186 Loss_G: -0.017583 Loss_D_real: -0.009939 Loss_D_fake 0.011246
[756/5000][5/535][77796] Loss_D: -0.023361 Loss_G: 0.020800 Loss_D_real: -0.029650 Loss_D_fake -0.006288
[756/5000][10/535][77797] Loss_D: -0.024275 Loss_G: 0.002599 Loss_D_real: -0.010941 Loss_D_fake 0.013333
[756/5000][15/535][77798] Loss_D: -0.022466 Loss_G: 0.004664 Loss_D_real: -0.024962 Loss_D_fake -0.002497
[756/5000][20/535][77799] Loss_D: -0.023521 Loss_G: 0.006283 Loss_D_real: -0.013721 Loss_D_fake 0.009801
[756/5000][25/535][77800] Loss_D: -0.022953 Loss_G: -0.007321 Loss_D_real: -0.012989 Loss_D_fake 0.009964
[756/5000][30/535][77801] Loss_D: -0.023323 Loss_G: -0.000643 Loss_D_real: -0.014831 Loss_D_fake 0.008492
[756/5000][35/535][77802] Loss_D: -0.023242 Loss_G: 0.021544 Loss_D_real: -0.029916 Loss_D_fake -0.006674
[756/5000][40/535][77803] Loss_D: -0.023131 Loss_G: -0.002336 Loss_D_real: -0.003272 Loss_D_fake 0.019859
[756/5000][45/535][77804] Loss_D: -0.024710 Loss_G: 0.005019 Loss_D_real: -0.016063 Loss_D_fake 0.008647
[756/5000][50/535][77805] Loss_D: -0.024594 Loss_G: 0.016066 Loss_D_real: -0.025986 Loss_D_fake -0.001393
[756/5000][55/535][77806] Loss_D: -0.024949 Loss_G: -0.007722 Loss_D_real: -0.017079 Loss_D_fake 0.007870
[756/5000][60/535][77807] Loss_D: -0.025460 Loss_G: -0.005835 Loss_D_real: -0.010437 Loss_D_fake 0.015023
[756/5000][65/535][77808] Loss_D: -0.023862 Loss_G: 0.023354 Loss_D_real: -0.030174 Loss_D_fake -0.006312
[756/5000][70/535][77809] Loss_D: -0.023991 Loss_G: 0.023661 Loss_D_real: -0.028609 Loss_D_fake -0.004619
[756/5000][75/535][77810] Loss_D: -0.025308 Loss_G: 0.003299 Loss_D_real: -0.017321 Loss_D_fake 0.007987
[756/5000][80/535][77811] Loss_D: -0.025443 Loss_G: 0.008323 Loss_D_real: -0.029799 Loss_D_fake -0.004356
[756/5000][85/535][77812] Loss_D: -0.024552 Loss_G: -0.013264 Loss_D_real: -0.010731 Loss_D_fake 0.013821
[756/5000][90/535][77813] Loss_D: -0.024323 Loss_G: 0.000670 Loss_D_real: -0.011594 Loss_D_fake 0.012729
[756/5000][95/535][77814] Loss_D: -0.025004 Loss_G: 0.014470 Loss_D_real: -0.030058 Loss_D_fake -0.005055
[756/5000][100/535][77815] Loss_D: -0.025271 Loss_G: 0.021553 Loss_D_real: -0.023113 Loss_D_fake 0.002158
[756/5000][105/535][77816] Loss_D: -0.025808 Loss_G: 0.007443 Loss_D_real: -0.019955 Loss_D_fake 0.005853
[756/5000][110/535][77817] Loss_D: -0.026412 Loss_G: 0.020375 Loss_D_real: -0.026276 Loss_D_fake 0.000135
[756/5000][115/535][77818] Loss_D: -0.023970 Loss_G: 0.021726 Loss_D_real: -0.021849 Loss_D_fake 0.002121
[756/5000][120/535][77819] Loss_D: -0.023877 Loss_G: 0.007799 Loss_D_real: -0.023011 Loss_D_fake 0.000866
[756/5000][125/535][77820] Loss_D: -0.024030 Loss_G: -0.005473 Loss_D_real: -0.001593 Loss_D_fake 0.022437
[756/5000][130/535][77821] Loss_D: -0.024269 Loss_G: 0.020257 Loss_D_real: -0.032532 Loss_D_fake -0.008263
[756/5000][135/535][77822] Loss_D: -0.023401 Loss_G: -0.006695 Loss_D_real: -0.012589 Loss_D_fake 0.010813
[756/5000][140/535][77823] Loss_D: -0.023119 Loss_G: 0.029109 Loss_D_real: -0.036338 Loss_D_fake -0.013219
[756/5000][145/535][77824] Loss_D: -0.022732 Loss_G: 0.017641 Loss_D_real: -0.026850 Loss_D_fake -0.004118
[756/5000][150/535][77825] Loss_D: -0.025120 Loss_G: 0.008628 Loss_D_real: -0.008786 Loss_D_fake 0.016334
[756/5000][155/535][77826] Loss_D: -0.024171 Loss_G: 0.009816 Loss_D_real: -0.029674 Loss_D_fake -0.005503
[756/5000][160/535][77827] Loss_D: -0.022459 Loss_G: 0.000107 Loss_D_real: -0.013340 Loss_D_fake 0.009119
[756/5000][165/535][77828] Loss_D: -0.025907 Loss_G: -0.000543 Loss_D_real: -0.020062 Loss_D_fake 0.005845
[756/5000][170/535][77829] Loss_D: -0.024949 Loss_G: 0.010628 Loss_D_real: -0.014604 Loss_D_fake 0.010345
[756/5000][175/535][77830] Loss_D: -0.024008 Loss_G: 0.005341 Loss_D_real: -0.009145 Loss_D_fake 0.014863
[756/5000][180/535][77831] Loss_D: -0.023568 Loss_G: 0.022953 Loss_D_real: -0.021985 Loss_D_fake 0.001583
[756/5000][185/535][77832] Loss_D: -0.023618 Loss_G: -0.000890 Loss_D_real: -0.013371 Loss_D_fake 0.010247
[756/5000][190/535][77833] Loss_D: -0.023694 Loss_G: 0.011879 Loss_D_real: -0.020752 Loss_D_fake 0.002942
[756/5000][195/535][77834] Loss_D: -0.023832 Loss_G: 0.016388 Loss_D_real: -0.030339 Loss_D_fake -0.006507
[756/5000][200/535][77835] Loss_D: -0.023220 Loss_G: 0.028628 Loss_D_real: -0.029549 Loss_D_fake -0.006329
[756/5000][205/535][77836] Loss_D: -0.024191 Loss_G: 0.002547 Loss_D_real: -0.017454 Loss_D_fake 0.006737
[756/5000][210/535][77837] Loss_D: -0.023434 Loss_G: 0.003129 Loss_D_real: -0.021377 Loss_D_fake 0.002057
[756/5000][215/535][77838] Loss_D: -0.024225 Loss_G: 0.024356 Loss_D_real: -0.035356 Loss_D_fake -0.011131
[756/5000][220/535][77839] Loss_D: -0.022670 Loss_G: -0.010921 Loss_D_real: -0.007016 Loss_D_fake 0.015654
[756/5000][225/535][77840] Loss_D: -0.022844 Loss_G: 0.021245 Loss_D_real: -0.029428 Loss_D_fake -0.006584
[756/5000][230/535][77841] Loss_D: -0.023951 Loss_G: 0.005041 Loss_D_real: -0.010269 Loss_D_fake 0.013682
[756/5000][235/535][77842] Loss_D: -0.022909 Loss_G: 0.022381 Loss_D_real: -0.031550 Loss_D_fake -0.008642
[756/5000][240/535][77843] Loss_D: -0.024695 Loss_G: 0.005494 Loss_D_real: -0.012435 Loss_D_fake 0.012260
[756/5000][245/535][77844] Loss_D: -0.024263 Loss_G: 0.010222 Loss_D_real: -0.017587 Loss_D_fake 0.006676
[756/5000][250/535][77845] Loss_D: -0.025680 Loss_G: 0.007186 Loss_D_real: -0.020791 Loss_D_fake 0.004888
[756/5000][255/535][77846] Loss_D: -0.023889 Loss_G: 0.011868 Loss_D_real: -0.025205 Loss_D_fake -0.001315
[756/5000][260/535][77847] Loss_D: -0.022916 Loss_G: -0.012062 Loss_D_real: 0.005071 Loss_D_fake 0.027987
[756/5000][265/535][77848] Loss_D: -0.024941 Loss_G: -0.006595 Loss_D_real: -0.018289 Loss_D_fake 0.006652
[756/5000][270/535][77849] Loss_D: -0.025055 Loss_G: 0.025636 Loss_D_real: -0.018719 Loss_D_fake 0.006335
[756/5000][275/535][77850] Loss_D: -0.024949 Loss_G: 0.012202 Loss_D_real: -0.018794 Loss_D_fake 0.006155
[756/5000][280/535][77851] Loss_D: -0.024836 Loss_G: 0.005174 Loss_D_real: -0.009737 Loss_D_fake 0.015099
[756/5000][285/535][77852] Loss_D: -0.023412 Loss_G: 0.015439 Loss_D_real: -0.030547 Loss_D_fake -0.007134
[756/5000][290/535][77853] Loss_D: -0.024980 Loss_G: 0.018316 Loss_D_real: -0.028298 Loss_D_fake -0.003318
[756/5000][295/535][77854] Loss_D: -0.023973 Loss_G: 0.016563 Loss_D_real: -0.031622 Loss_D_fake -0.007649
[756/5000][300/535][77855] Loss_D: -0.025891 Loss_G: -0.001686 Loss_D_real: -0.015597 Loss_D_fake 0.010294
[756/5000][305/535][77856] Loss_D: -0.024072 Loss_G: 0.012328 Loss_D_real: -0.016734 Loss_D_fake 0.007338
[756/5000][310/535][77857] Loss_D: -0.023944 Loss_G: -0.005533 Loss_D_real: -0.004050 Loss_D_fake 0.019894
[756/5000][315/535][77858] Loss_D: -0.023167 Loss_G: 0.012119 Loss_D_real: -0.026993 Loss_D_fake -0.003826
[756/5000][320/535][77859] Loss_D: -0.023283 Loss_G: 0.020411 Loss_D_real: -0.019846 Loss_D_fake 0.003437
[756/5000][325/535][77860] Loss_D: -0.024036 Loss_G: -0.002046 Loss_D_real: -0.011981 Loss_D_fake 0.012055
[756/5000][330/535][77861] Loss_D: -0.024059 Loss_G: 0.022294 Loss_D_real: -0.030283 Loss_D_fake -0.006224
[756/5000][335/535][77862] Loss_D: -0.024698 Loss_G: 0.004747 Loss_D_real: -0.019950 Loss_D_fake 0.004748
[756/5000][340/535][77863] Loss_D: -0.022058 Loss_G: 0.002884 Loss_D_real: -0.005418 Loss_D_fake 0.016640
[756/5000][345/535][77864] Loss_D: -0.024222 Loss_G: 0.003500 Loss_D_real: -0.016937 Loss_D_fake 0.007285
[756/5000][350/535][77865] Loss_D: -0.024616 Loss_G: 0.023168 Loss_D_real: -0.026567 Loss_D_fake -0.001951
[756/5000][355/535][77866] Loss_D: -0.023286 Loss_G: 0.008103 Loss_D_real: -0.018224 Loss_D_fake 0.005062
[756/5000][360/535][77867] Loss_D: -0.023855 Loss_G: 0.014583 Loss_D_real: -0.015750 Loss_D_fake 0.008105
[756/5000][365/535][77868] Loss_D: -0.022716 Loss_G: 0.002800 Loss_D_real: -0.014627 Loss_D_fake 0.008088
[756/5000][370/535][77869] Loss_D: -0.022644 Loss_G: 0.024221 Loss_D_real: -0.035527 Loss_D_fake -0.012882
[756/5000][375/535][77870] Loss_D: -0.023765 Loss_G: 0.016237 Loss_D_real: -0.023179 Loss_D_fake 0.000586
[756/5000][380/535][77871] Loss_D: -0.025428 Loss_G: 0.018564 Loss_D_real: -0.031854 Loss_D_fake -0.006426
[756/5000][385/535][77872] Loss_D: -0.021850 Loss_G: 0.028337 Loss_D_real: -0.045023 Loss_D_fake -0.023173
[756/5000][390/535][77873] Loss_D: -0.023440 Loss_G: 0.011612 Loss_D_real: -0.022803 Loss_D_fake 0.000637
[756/5000][395/535][77874] Loss_D: -0.023741 Loss_G: -0.000936 Loss_D_real: -0.011663 Loss_D_fake 0.012078
[756/5000][400/535][77875] Loss_D: -0.023004 Loss_G: 0.015469 Loss_D_real: -0.027098 Loss_D_fake -0.004093
[756/5000][405/535][77876] Loss_D: -0.023114 Loss_G: 0.022471 Loss_D_real: -0.030461 Loss_D_fake -0.007347
[756/5000][410/535][77877] Loss_D: -0.023188 Loss_G: 0.004626 Loss_D_real: -0.008066 Loss_D_fake 0.015122
[756/5000][415/535][77878] Loss_D: -0.025075 Loss_G: -0.002297 Loss_D_real: -0.002792 Loss_D_fake 0.022283
[756/5000][420/535][77879] Loss_D: -0.023481 Loss_G: 0.018945 Loss_D_real: -0.029028 Loss_D_fake -0.005547
[756/5000][425/535][77880] Loss_D: -0.024155 Loss_G: 0.010858 Loss_D_real: -0.021657 Loss_D_fake 0.002498
[756/5000][430/535][77881] Loss_D: -0.023413 Loss_G: 0.014853 Loss_D_real: -0.010452 Loss_D_fake 0.012961
[756/5000][435/535][77882] Loss_D: -0.024114 Loss_G: 0.019868 Loss_D_real: -0.029066 Loss_D_fake -0.004953
[756/5000][440/535][77883] Loss_D: -0.023465 Loss_G: -0.005002 Loss_D_real: -0.018529 Loss_D_fake 0.004936
[756/5000][445/535][77884] Loss_D: -0.022126 Loss_G: 0.011377 Loss_D_real: -0.030332 Loss_D_fake -0.008206
[756/5000][450/535][77885] Loss_D: -0.022141 Loss_G: 0.011062 Loss_D_real: -0.025645 Loss_D_fake -0.003503
[756/5000][455/535][77886] Loss_D: -0.022985 Loss_G: 0.012154 Loss_D_real: -0.035407 Loss_D_fake -0.012421
[756/5000][460/535][77887] Loss_D: -0.022980 Loss_G: -0.003048 Loss_D_real: -0.014934 Loss_D_fake 0.008046
[756/5000][465/535][77888] Loss_D: -0.024154 Loss_G: 0.016545 Loss_D_real: -0.017656 Loss_D_fake 0.006498
[756/5000][470/535][77889] Loss_D: -0.023114 Loss_G: 0.028551 Loss_D_real: -0.030331 Loss_D_fake -0.007217
[756/5000][475/535][77890] Loss_D: -0.024095 Loss_G: 0.019991 Loss_D_real: -0.030441 Loss_D_fake -0.006346
[756/5000][480/535][77891] Loss_D: -0.024433 Loss_G: 0.011987 Loss_D_real: -0.022537 Loss_D_fake 0.001896
[756/5000][485/535][77892] Loss_D: -0.025242 Loss_G: 0.012505 Loss_D_real: -0.021584 Loss_D_fake 0.003658
[756/5000][490/535][77893] Loss_D: -0.024768 Loss_G: -0.002145 Loss_D_real: -0.011039 Loss_D_fake 0.013729
[756/5000][495/535][77894] Loss_D: -0.023288 Loss_G: 0.030603 Loss_D_real: -0.029246 Loss_D_fake -0.005958
[756/5000][500/535][77895] Loss_D: -0.023950 Loss_G: 0.002702 Loss_D_real: -0.010874 Loss_D_fake 0.013076
[756/5000][505/535][77896] Loss_D: -0.025337 Loss_G: -0.000883 Loss_D_real: -0.020493 Loss_D_fake 0.004844
[756/5000][510/535][77897] Loss_D: -0.024025 Loss_G: -0.000233 Loss_D_real: -0.017444 Loss_D_fake 0.006581
[756/5000][515/535][77898] Loss_D: -0.023536 Loss_G: 0.012984 Loss_D_real: -0.013951 Loss_D_fake 0.009586
[756/5000][520/535][77899] Loss_D: -0.024400 Loss_G: 0.006514 Loss_D_real: -0.013340 Loss_D_fake 0.011059
[756/5000][525/535][77900] Loss_D: -0.023491 Loss_G: -0.000518 Loss_D_real: -0.021589 Loss_D_fake 0.001901
[756/5000][530/535][77901] Loss_D: -0.024338 Loss_G: 0.008435 Loss_D_real: -0.016530 Loss_D_fake 0.007808
[756/5000][535/535][77902] Loss_D: -0.023088 Loss_G: 0.030261 Loss_D_real: -0.024201 Loss_D_fake -0.001113
[757/5000][5/535][77903] Loss_D: -0.023015 Loss_G: 0.004601 Loss_D_real: -0.016998 Loss_D_fake 0.006017
[757/5000][10/535][77904] Loss_D: -0.023531 Loss_G: -0.000689 Loss_D_real: -0.013803 Loss_D_fake 0.009728
[757/5000][15/535][77905] Loss_D: -0.022915 Loss_G: 0.022919 Loss_D_real: -0.032580 Loss_D_fake -0.009664
[757/5000][20/535][77906] Loss_D: -0.025383 Loss_G: 0.023446 Loss_D_real: -0.026052 Loss_D_fake -0.000668
[757/5000][25/535][77907] Loss_D: -0.023519 Loss_G: -0.003038 Loss_D_real: -0.016345 Loss_D_fake 0.007174
[757/5000][30/535][77908] Loss_D: -0.023607 Loss_G: 0.015221 Loss_D_real: -0.023397 Loss_D_fake 0.000210
[757/5000][35/535][77909] Loss_D: -0.024774 Loss_G: 0.004107 Loss_D_real: -0.008938 Loss_D_fake 0.015835
[757/5000][40/535][77910] Loss_D: -0.023220 Loss_G: 0.011521 Loss_D_real: -0.014169 Loss_D_fake 0.009051
[757/5000][45/535][77911] Loss_D: -0.025235 Loss_G: 0.009054 Loss_D_real: -0.016274 Loss_D_fake 0.008960
[757/5000][50/535][77912] Loss_D: -0.023986 Loss_G: 0.022472 Loss_D_real: -0.028759 Loss_D_fake -0.004773
[757/5000][55/535][77913] Loss_D: -0.024868 Loss_G: 0.024995 Loss_D_real: -0.029043 Loss_D_fake -0.004175
[757/5000][60/535][77914] Loss_D: -0.024248 Loss_G: 0.001762 Loss_D_real: -0.022502 Loss_D_fake 0.001746
[757/5000][65/535][77915] Loss_D: -0.025010 Loss_G: -0.002107 Loss_D_real: -0.016136 Loss_D_fake 0.008873
[757/5000][70/535][77916] Loss_D: -0.024321 Loss_G: 0.025616 Loss_D_real: -0.018996 Loss_D_fake 0.005326
[757/5000][75/535][77917] Loss_D: -0.023726 Loss_G: -0.004373 Loss_D_real: -0.014993 Loss_D_fake 0.008733
[757/5000][80/535][77918] Loss_D: -0.023438 Loss_G: 0.009427 Loss_D_real: -0.025310 Loss_D_fake -0.001872
[757/5000][85/535][77919] Loss_D: -0.023326 Loss_G: 0.026774 Loss_D_real: -0.035093 Loss_D_fake -0.011767
[757/5000][90/535][77920] Loss_D: -0.023660 Loss_G: 0.013754 Loss_D_real: -0.025908 Loss_D_fake -0.002248
[757/5000][95/535][77921] Loss_D: -0.024730 Loss_G: -0.005772 Loss_D_real: -0.018233 Loss_D_fake 0.006497
[757/5000][100/535][77922] Loss_D: -0.023412 Loss_G: 0.017800 Loss_D_real: -0.023712 Loss_D_fake -0.000300
[757/5000][105/535][77923] Loss_D: -0.024171 Loss_G: 0.013720 Loss_D_real: -0.021338 Loss_D_fake 0.002832
[757/5000][110/535][77924] Loss_D: -0.023615 Loss_G: 0.025575 Loss_D_real: -0.028543 Loss_D_fake -0.004928
[757/5000][115/535][77925] Loss_D: -0.024994 Loss_G: -0.006283 Loss_D_real: -0.011786 Loss_D_fake 0.013208
[757/5000][120/535][77926] Loss_D: -0.024357 Loss_G: 0.018486 Loss_D_real: -0.018038 Loss_D_fake 0.006319
[757/5000][125/535][77927] Loss_D: -0.023825 Loss_G: 0.031325 Loss_D_real: -0.034736 Loss_D_fake -0.010911
[757/5000][130/535][77928] Loss_D: -0.023072 Loss_G: -0.003555 Loss_D_real: -0.002667 Loss_D_fake 0.020405
[757/5000][135/535][77929] Loss_D: -0.022928 Loss_G: -0.007105 Loss_D_real: -0.012584 Loss_D_fake 0.010344
[757/5000][140/535][77930] Loss_D: -0.022807 Loss_G: -0.016157 Loss_D_real: -0.009808 Loss_D_fake 0.012999
[757/5000][145/535][77931] Loss_D: -0.022986 Loss_G: 0.010732 Loss_D_real: -0.016027 Loss_D_fake 0.006959
[757/5000][150/535][77932] Loss_D: -0.022500 Loss_G: 0.002944 Loss_D_real: -0.017976 Loss_D_fake 0.004524
[757/5000][155/535][77933] Loss_D: -0.022459 Loss_G: 0.021180 Loss_D_real: -0.032444 Loss_D_fake -0.009986
[757/5000][160/535][77934] Loss_D: -0.021357 Loss_G: 0.026605 Loss_D_real: -0.040626 Loss_D_fake -0.019270
[757/5000][165/535][77935] Loss_D: -0.024119 Loss_G: 0.013573 Loss_D_real: -0.024009 Loss_D_fake 0.000110
[757/5000][170/535][77936] Loss_D: -0.023828 Loss_G: 0.006671 Loss_D_real: -0.013554 Loss_D_fake 0.010274
[757/5000][175/535][77937] Loss_D: -0.024736 Loss_G: 0.011506 Loss_D_real: -0.022574 Loss_D_fake 0.002162
[757/5000][180/535][77938] Loss_D: -0.023751 Loss_G: 0.001130 Loss_D_real: -0.014340 Loss_D_fake 0.009410
[757/5000][185/535][77939] Loss_D: -0.024443 Loss_G: 0.013884 Loss_D_real: -0.021216 Loss_D_fake 0.003227
[757/5000][190/535][77940] Loss_D: -0.022942 Loss_G: 0.003689 Loss_D_real: -0.001973 Loss_D_fake 0.020970
[757/5000][195/535][77941] Loss_D: -0.022899 Loss_G: -0.002950 Loss_D_real: -0.009269 Loss_D_fake 0.013630
[757/5000][200/535][77942] Loss_D: -0.023919 Loss_G: -0.000455 Loss_D_real: -0.012630 Loss_D_fake 0.011288
[757/5000][205/535][77943] Loss_D: -0.022985 Loss_G: 0.009285 Loss_D_real: -0.018810 Loss_D_fake 0.004174
[757/5000][210/535][77944] Loss_D: -0.021591 Loss_G: 0.022566 Loss_D_real: -0.038650 Loss_D_fake -0.017060
[757/5000][215/535][77945] Loss_D: -0.023505 Loss_G: 0.015447 Loss_D_real: -0.020260 Loss_D_fake 0.003245
[757/5000][220/535][77946] Loss_D: -0.024367 Loss_G: 0.008211 Loss_D_real: -0.017162 Loss_D_fake 0.007205
[757/5000][225/535][77947] Loss_D: -0.023178 Loss_G: 0.027769 Loss_D_real: -0.025388 Loss_D_fake -0.002210
[757/5000][230/535][77948] Loss_D: -0.023336 Loss_G: 0.017908 Loss_D_real: -0.028717 Loss_D_fake -0.005381
[757/5000][235/535][77949] Loss_D: -0.026038 Loss_G: -0.008783 Loss_D_real: -0.008994 Loss_D_fake 0.017044
[757/5000][240/535][77950] Loss_D: -0.023807 Loss_G: 0.014722 Loss_D_real: -0.026227 Loss_D_fake -0.002421
[757/5000][245/535][77951] Loss_D: -0.024703 Loss_G: 0.004739 Loss_D_real: -0.019542 Loss_D_fake 0.005160
[757/5000][250/535][77952] Loss_D: -0.024413 Loss_G: -0.002744 Loss_D_real: -0.013012 Loss_D_fake 0.011401
[757/5000][255/535][77953] Loss_D: -0.023833 Loss_G: 0.028600 Loss_D_real: -0.030033 Loss_D_fake -0.006200
[757/5000][260/535][77954] Loss_D: -0.023920 Loss_G: 0.016441 Loss_D_real: -0.032729 Loss_D_fake -0.008810
[757/5000][265/535][77955] Loss_D: -0.024669 Loss_G: 0.009711 Loss_D_real: -0.021175 Loss_D_fake 0.003494
[757/5000][270/535][77956] Loss_D: -0.023954 Loss_G: 0.005454 Loss_D_real: -0.009981 Loss_D_fake 0.013973
[757/5000][275/535][77957] Loss_D: -0.024297 Loss_G: 0.007225 Loss_D_real: -0.007868 Loss_D_fake 0.016429
[757/5000][280/535][77958] Loss_D: -0.024384 Loss_G: 0.007870 Loss_D_real: -0.017513 Loss_D_fake 0.006872
[757/5000][285/535][77959] Loss_D: -0.023435 Loss_G: 0.026596 Loss_D_real: -0.024716 Loss_D_fake -0.001281
[757/5000][290/535][77960] Loss_D: -0.023447 Loss_G: -0.002311 Loss_D_real: -0.002923 Loss_D_fake 0.020525
[757/5000][295/535][77961] Loss_D: -0.022400 Loss_G: 0.020154 Loss_D_real: -0.029965 Loss_D_fake -0.007565
[757/5000][300/535][77962] Loss_D: -0.024335 Loss_G: 0.016027 Loss_D_real: -0.031663 Loss_D_fake -0.007329
[757/5000][305/535][77963] Loss_D: -0.024527 Loss_G: 0.014234 Loss_D_real: -0.029545 Loss_D_fake -0.005018
[757/5000][310/535][77964] Loss_D: -0.025077 Loss_G: -0.003209 Loss_D_real: -0.002900 Loss_D_fake 0.022177
[757/5000][315/535][77965] Loss_D: -0.025511 Loss_G: 0.021717 Loss_D_real: -0.030016 Loss_D_fake -0.004505
[757/5000][320/535][77966] Loss_D: -0.022697 Loss_G: 0.011929 Loss_D_real: -0.029199 Loss_D_fake -0.006503
[757/5000][325/535][77967] Loss_D: -0.024791 Loss_G: 0.003888 Loss_D_real: -0.032150 Loss_D_fake -0.007359
[757/5000][330/535][77968] Loss_D: -0.024261 Loss_G: 0.002710 Loss_D_real: -0.014067 Loss_D_fake 0.010194
[757/5000][335/535][77969] Loss_D: -0.023591 Loss_G: 0.009814 Loss_D_real: -0.018274 Loss_D_fake 0.005316
[757/5000][340/535][77970] Loss_D: -0.022926 Loss_G: 0.036175 Loss_D_real: -0.043475 Loss_D_fake -0.020549
[757/5000][345/535][77971] Loss_D: -0.024815 Loss_G: 0.001445 Loss_D_real: -0.011647 Loss_D_fake 0.013168
[757/5000][350/535][77972] Loss_D: -0.024767 Loss_G: 0.017392 Loss_D_real: -0.017826 Loss_D_fake 0.006941
[757/5000][355/535][77973] Loss_D: -0.025419 Loss_G: 0.001627 Loss_D_real: -0.007757 Loss_D_fake 0.017662
[757/5000][360/535][77974] Loss_D: -0.024034 Loss_G: 0.003304 Loss_D_real: -0.008875 Loss_D_fake 0.015159
[757/5000][365/535][77975] Loss_D: -0.023142 Loss_G: 0.027724 Loss_D_real: -0.029623 Loss_D_fake -0.006480
[757/5000][370/535][77976] Loss_D: -0.024834 Loss_G: 0.007295 Loss_D_real: -0.011093 Loss_D_fake 0.013740
[757/5000][375/535][77977] Loss_D: -0.024286 Loss_G: 0.019055 Loss_D_real: -0.028580 Loss_D_fake -0.004294
[757/5000][380/535][77978] Loss_D: -0.024158 Loss_G: 0.013890 Loss_D_real: -0.013180 Loss_D_fake 0.010978
[757/5000][385/535][77979] Loss_D: -0.025454 Loss_G: 0.015053 Loss_D_real: -0.025623 Loss_D_fake -0.000169
[757/5000][390/535][77980] Loss_D: -0.024777 Loss_G: 0.007547 Loss_D_real: -0.025928 Loss_D_fake -0.001151
[757/5000][395/535][77981] Loss_D: -0.024565 Loss_G: 0.009279 Loss_D_real: -0.010229 Loss_D_fake 0.014336
[757/5000][400/535][77982] Loss_D: -0.023050 Loss_G: 0.028194 Loss_D_real: -0.029119 Loss_D_fake -0.006069
[757/5000][405/535][77983] Loss_D: -0.024718 Loss_G: 0.007497 Loss_D_real: -0.019944 Loss_D_fake 0.004774
[757/5000][410/535][77984] Loss_D: -0.023283 Loss_G: 0.013679 Loss_D_real: -0.023186 Loss_D_fake 0.000097
[757/5000][415/535][77985] Loss_D: -0.024070 Loss_G: 0.008096 Loss_D_real: -0.018362 Loss_D_fake 0.005708
[757/5000][420/535][77986] Loss_D: -0.024469 Loss_G: -0.010166 Loss_D_real: -0.008235 Loss_D_fake 0.016234
[757/5000][425/535][77987] Loss_D: -0.023356 Loss_G: -0.001684 Loss_D_real: -0.014722 Loss_D_fake 0.008635
[757/5000][430/535][77988] Loss_D: -0.024525 Loss_G: 0.002107 Loss_D_real: -0.014552 Loss_D_fake 0.009974
[757/5000][435/535][77989] Loss_D: -0.023648 Loss_G: -0.003856 Loss_D_real: -0.010030 Loss_D_fake 0.013617
[757/5000][440/535][77990] Loss_D: -0.023521 Loss_G: -0.000442 Loss_D_real: -0.021082 Loss_D_fake 0.002439
[757/5000][445/535][77991] Loss_D: -0.023836 Loss_G: 0.025989 Loss_D_real: -0.025195 Loss_D_fake -0.001359
[757/5000][450/535][77992] Loss_D: -0.024352 Loss_G: 0.012804 Loss_D_real: -0.023977 Loss_D_fake 0.000374
[757/5000][455/535][77993] Loss_D: -0.023371 Loss_G: 0.014814 Loss_D_real: -0.026854 Loss_D_fake -0.003483
[757/5000][460/535][77994] Loss_D: -0.024672 Loss_G: 0.014389 Loss_D_real: -0.026300 Loss_D_fake -0.001628
[757/5000][465/535][77995] Loss_D: -0.025040 Loss_G: 0.022195 Loss_D_real: -0.023773 Loss_D_fake 0.001267
[757/5000][470/535][77996] Loss_D: -0.024416 Loss_G: 0.004892 Loss_D_real: -0.022085 Loss_D_fake 0.002331
[757/5000][475/535][77997] Loss_D: -0.023995 Loss_G: 0.018758 Loss_D_real: -0.034600 Loss_D_fake -0.010604
[757/5000][480/535][77998] Loss_D: -0.024113 Loss_G: 0.024779 Loss_D_real: -0.031547 Loss_D_fake -0.007434
[757/5000][485/535][77999] Loss_D: -0.023519 Loss_G: -0.007224 Loss_D_real: 0.001176 Loss_D_fake 0.024695
[757/5000][490/535][78000] Loss_D: -0.022426 Loss_G: 0.017492 Loss_D_real: -0.020172 Loss_D_fake 0.002254
[757/5000][535/535][78001] Loss_D: -0.025706 Loss_G: 0.001097 Loss_D_real: -0.019884 Loss_D_fake 0.005822
[758/5000][5/535][78002] Loss_D: -0.025372 Loss_G: 0.003457 Loss_D_real: -0.018852 Loss_D_fake 0.006520
[758/5000][10/535][78003] Loss_D: -0.021991 Loss_G: 0.011529 Loss_D_real: -0.007893 Loss_D_fake 0.014097
[758/5000][15/535][78004] Loss_D: -0.023884 Loss_G: 0.001263 Loss_D_real: -0.013400 Loss_D_fake 0.010484
[758/5000][20/535][78005] Loss_D: -0.022614 Loss_G: 0.009451 Loss_D_real: -0.019486 Loss_D_fake 0.003127
[758/5000][25/535][78006] Loss_D: -0.023132 Loss_G: -0.001304 Loss_D_real: -0.008112 Loss_D_fake 0.015019
[758/5000][30/535][78007] Loss_D: -0.022576 Loss_G: 0.010142 Loss_D_real: -0.013037 Loss_D_fake 0.009539
[758/5000][35/535][78008] Loss_D: -0.023801 Loss_G: 0.006884 Loss_D_real: -0.019278 Loss_D_fake 0.004523
[758/5000][40/535][78009] Loss_D: -0.023000 Loss_G: 0.021856 Loss_D_real: -0.024891 Loss_D_fake -0.001891
[758/5000][45/535][78010] Loss_D: -0.022357 Loss_G: 0.020591 Loss_D_real: -0.021627 Loss_D_fake 0.000730
[758/5000][50/535][78011] Loss_D: -0.022431 Loss_G: 0.014617 Loss_D_real: -0.030640 Loss_D_fake -0.008209
[758/5000][55/535][78012] Loss_D: -0.023638 Loss_G: 0.021424 Loss_D_real: -0.030511 Loss_D_fake -0.006873
[758/5000][60/535][78013] Loss_D: -0.024508 Loss_G: 0.007531 Loss_D_real: -0.016399 Loss_D_fake 0.008109
[758/5000][65/535][78014] Loss_D: -0.021938 Loss_G: 0.028934 Loss_D_real: -0.034711 Loss_D_fake -0.012773
[758/5000][70/535][78015] Loss_D: -0.023481 Loss_G: -0.005843 Loss_D_real: -0.015904 Loss_D_fake 0.007577
[758/5000][75/535][78016] Loss_D: -0.022991 Loss_G: 0.023943 Loss_D_real: -0.035622 Loss_D_fake -0.012631
[758/5000][80/535][78017] Loss_D: -0.023220 Loss_G: -0.002920 Loss_D_real: -0.012421 Loss_D_fake 0.010798
[758/5000][85/535][78018] Loss_D: -0.022812 Loss_G: 0.007243 Loss_D_real: -0.006059 Loss_D_fake 0.016753
[758/5000][90/535][78019] Loss_D: -0.024664 Loss_G: -0.002823 Loss_D_real: -0.017026 Loss_D_fake 0.007638
[758/5000][95/535][78020] Loss_D: -0.022887 Loss_G: 0.005151 Loss_D_real: -0.019350 Loss_D_fake 0.003537
[758/5000][100/535][78021] Loss_D: -0.024442 Loss_G: 0.008187 Loss_D_real: -0.010504 Loss_D_fake 0.013938
[758/5000][105/535][78022] Loss_D: -0.022499 Loss_G: 0.025157 Loss_D_real: -0.024702 Loss_D_fake -0.002203
[758/5000][110/535][78023] Loss_D: -0.024953 Loss_G: -0.009916 Loss_D_real: -0.015390 Loss_D_fake 0.009563
[758/5000][115/535][78024] Loss_D: -0.023789 Loss_G: 0.014608 Loss_D_real: -0.026144 Loss_D_fake -0.002354
[758/5000][120/535][78025] Loss_D: -0.023654 Loss_G: 0.019507 Loss_D_real: -0.023795 Loss_D_fake -0.000141
[758/5000][125/535][78026] Loss_D: -0.024221 Loss_G: 0.015277 Loss_D_real: -0.014595 Loss_D_fake 0.009626
[758/5000][130/535][78027] Loss_D: -0.024671 Loss_G: 0.018266 Loss_D_real: -0.034150 Loss_D_fake -0.009479
[758/5000][135/535][78028] Loss_D: -0.023392 Loss_G: -0.002199 Loss_D_real: 0.000637 Loss_D_fake 0.024030
[758/5000][140/535][78029] Loss_D: -0.024419 Loss_G: 0.021040 Loss_D_real: -0.027869 Loss_D_fake -0.003449
[758/5000][145/535][78030] Loss_D: -0.024560 Loss_G: 0.008624 Loss_D_real: -0.018870 Loss_D_fake 0.005689
[758/5000][150/535][78031] Loss_D: -0.024366 Loss_G: -0.003071 Loss_D_real: -0.010672 Loss_D_fake 0.013694
[758/5000][155/535][78032] Loss_D: -0.024829 Loss_G: 0.007730 Loss_D_real: -0.022265 Loss_D_fake 0.002565
[758/5000][160/535][78033] Loss_D: -0.022706 Loss_G: 0.002455 Loss_D_real: -0.005350 Loss_D_fake 0.017356
[758/5000][165/535][78034] Loss_D: -0.023781 Loss_G: 0.014904 Loss_D_real: -0.026068 Loss_D_fake -0.002287
[758/5000][170/535][78035] Loss_D: -0.023622 Loss_G: 0.005022 Loss_D_real: -0.020604 Loss_D_fake 0.003018
[758/5000][175/535][78036] Loss_D: -0.023774 Loss_G: -0.000844 Loss_D_real: -0.016899 Loss_D_fake 0.006876
[758/5000][180/535][78037] Loss_D: -0.024650 Loss_G: -0.005988 Loss_D_real: -0.002001 Loss_D_fake 0.022649
[758/5000][185/535][78038] Loss_D: -0.025293 Loss_G: 0.018711 Loss_D_real: -0.016412 Loss_D_fake 0.008880
[758/5000][190/535][78039] Loss_D: -0.023886 Loss_G: -0.001927 Loss_D_real: -0.011909 Loss_D_fake 0.011977
[758/5000][195/535][78040] Loss_D: -0.023219 Loss_G: 0.005074 Loss_D_real: -0.022933 Loss_D_fake 0.000287
[758/5000][200/535][78041] Loss_D: -0.023502 Loss_G: 0.023771 Loss_D_real: -0.027744 Loss_D_fake -0.004242
[758/5000][205/535][78042] Loss_D: -0.022406 Loss_G: -0.002733 Loss_D_real: -0.010997 Loss_D_fake 0.011410
[758/5000][210/535][78043] Loss_D: -0.024007 Loss_G: 0.008483 Loss_D_real: -0.023420 Loss_D_fake 0.000587
[758/5000][215/535][78044] Loss_D: -0.023351 Loss_G: 0.012053 Loss_D_real: -0.032444 Loss_D_fake -0.009093
[758/5000][220/535][78045] Loss_D: -0.024419 Loss_G: -0.006302 Loss_D_real: -0.015099 Loss_D_fake 0.009320
[758/5000][225/535][78046] Loss_D: -0.023714 Loss_G: 0.021792 Loss_D_real: -0.031416 Loss_D_fake -0.007702
[758/5000][230/535][78047] Loss_D: -0.024603 Loss_G: 0.008357 Loss_D_real: -0.016394 Loss_D_fake 0.008209
[758/5000][235/535][78048] Loss_D: -0.024433 Loss_G: 0.007567 Loss_D_real: -0.021587 Loss_D_fake 0.002846
[758/5000][240/535][78049] Loss_D: -0.024033 Loss_G: 0.021284 Loss_D_real: -0.032580 Loss_D_fake -0.008547
[758/5000][245/535][78050] Loss_D: -0.024852 Loss_G: 0.004719 Loss_D_real: -0.015054 Loss_D_fake 0.009799
[758/5000][250/535][78051] Loss_D: -0.022967 Loss_G: 0.001541 Loss_D_real: -0.019528 Loss_D_fake 0.003439
[758/5000][255/535][78052] Loss_D: -0.023933 Loss_G: 0.002773 Loss_D_real: -0.010949 Loss_D_fake 0.012983
[758/5000][260/535][78053] Loss_D: -0.023519 Loss_G: -0.003121 Loss_D_real: -0.013628 Loss_D_fake 0.009891
[758/5000][265/535][78054] Loss_D: -0.023362 Loss_G: 0.018855 Loss_D_real: -0.025508 Loss_D_fake -0.002146
[758/5000][270/535][78055] Loss_D: -0.024490 Loss_G: 0.000027 Loss_D_real: -0.014265 Loss_D_fake 0.010224
[758/5000][275/535][78056] Loss_D: -0.024954 Loss_G: 0.017284 Loss_D_real: -0.026685 Loss_D_fake -0.001732
[758/5000][280/535][78057] Loss_D: -0.025363 Loss_G: -0.000319 Loss_D_real: -0.003682 Loss_D_fake 0.021681
[758/5000][285/535][78058] Loss_D: -0.024121 Loss_G: 0.012711 Loss_D_real: -0.015584 Loss_D_fake 0.008537
[758/5000][290/535][78059] Loss_D: -0.022954 Loss_G: -0.006089 Loss_D_real: 0.004305 Loss_D_fake 0.027258
[758/5000][295/535][78060] Loss_D: -0.023977 Loss_G: 0.008756 Loss_D_real: -0.021946 Loss_D_fake 0.002031
[758/5000][300/535][78061] Loss_D: -0.023448 Loss_G: 0.007360 Loss_D_real: -0.022659 Loss_D_fake 0.000790
[758/5000][305/535][78062] Loss_D: -0.023442 Loss_G: 0.007283 Loss_D_real: -0.021792 Loss_D_fake 0.001651
[758/5000][310/535][78063] Loss_D: -0.023265 Loss_G: -0.003406 Loss_D_real: -0.012321 Loss_D_fake 0.010944
[758/5000][315/535][78064] Loss_D: -0.023135 Loss_G: 0.029932 Loss_D_real: -0.029108 Loss_D_fake -0.005972
[758/5000][320/535][78065] Loss_D: -0.022920 Loss_G: 0.001290 Loss_D_real: -0.011127 Loss_D_fake 0.011793
[758/5000][325/535][78066] Loss_D: -0.023484 Loss_G: 0.011599 Loss_D_real: -0.030514 Loss_D_fake -0.007031
[758/5000][330/535][78067] Loss_D: -0.024182 Loss_G: -0.003353 Loss_D_real: -0.021509 Loss_D_fake 0.002673
[758/5000][335/535][78068] Loss_D: -0.023571 Loss_G: 0.024415 Loss_D_real: -0.029701 Loss_D_fake -0.006130
[758/5000][340/535][78069] Loss_D: -0.022927 Loss_G: -0.001771 Loss_D_real: -0.007449 Loss_D_fake 0.015477
[758/5000][345/535][78070] Loss_D: -0.023128 Loss_G: 0.024763 Loss_D_real: -0.026299 Loss_D_fake -0.003171
[758/5000][350/535][78071] Loss_D: -0.023330 Loss_G: 0.009668 Loss_D_real: -0.013242 Loss_D_fake 0.010088
[758/5000][355/535][78072] Loss_D: -0.022806 Loss_G: 0.005363 Loss_D_real: -0.018493 Loss_D_fake 0.004313
[758/5000][360/535][78073] Loss_D: -0.024331 Loss_G: 0.007888 Loss_D_real: -0.020904 Loss_D_fake 0.003427
[758/5000][365/535][78074] Loss_D: -0.022892 Loss_G: 0.030750 Loss_D_real: -0.030471 Loss_D_fake -0.007580
[758/5000][370/535][78075] Loss_D: -0.023286 Loss_G: 0.003925 Loss_D_real: -0.012496 Loss_D_fake 0.010790
[758/5000][375/535][78076] Loss_D: -0.021857 Loss_G: 0.021552 Loss_D_real: -0.031924 Loss_D_fake -0.010067
[758/5000][380/535][78077] Loss_D: -0.022597 Loss_G: 0.027420 Loss_D_real: -0.024708 Loss_D_fake -0.002110
[758/5000][385/535][78078] Loss_D: -0.023112 Loss_G: 0.014725 Loss_D_real: -0.025483 Loss_D_fake -0.002372
[758/5000][390/535][78079] Loss_D: -0.023833 Loss_G: 0.019753 Loss_D_real: -0.022709 Loss_D_fake 0.001124
[758/5000][395/535][78080] Loss_D: -0.023607 Loss_G: 0.009418 Loss_D_real: -0.030197 Loss_D_fake -0.006590
[758/5000][400/535][78081] Loss_D: -0.024324 Loss_G: 0.021959 Loss_D_real: -0.027507 Loss_D_fake -0.003183
[758/5000][405/535][78082] Loss_D: -0.023747 Loss_G: -0.000055 Loss_D_real: -0.016529 Loss_D_fake 0.007218
[758/5000][410/535][78083] Loss_D: -0.024145 Loss_G: 0.019314 Loss_D_real: -0.031227 Loss_D_fake -0.007081
[758/5000][415/535][78084] Loss_D: -0.023027 Loss_G: -0.008087 Loss_D_real: -0.003271 Loss_D_fake 0.019756
[758/5000][420/535][78085] Loss_D: -0.022748 Loss_G: 0.015211 Loss_D_real: -0.022706 Loss_D_fake 0.000042
[758/5000][425/535][78086] Loss_D: -0.024134 Loss_G: -0.008352 Loss_D_real: -0.009263 Loss_D_fake 0.014871
[758/5000][430/535][78087] Loss_D: -0.025277 Loss_G: 0.019515 Loss_D_real: -0.032359 Loss_D_fake -0.007081
[758/5000][435/535][78088] Loss_D: -0.025030 Loss_G: 0.016103 Loss_D_real: -0.025642 Loss_D_fake -0.000611
[758/5000][440/535][78089] Loss_D: -0.023605 Loss_G: 0.008827 Loss_D_real: -0.019131 Loss_D_fake 0.004474
[758/5000][445/535][78090] Loss_D: -0.022961 Loss_G: 0.001603 Loss_D_real: -0.009774 Loss_D_fake 0.013187
[758/5000][450/535][78091] Loss_D: -0.023653 Loss_G: -0.004000 Loss_D_real: -0.016281 Loss_D_fake 0.007372
[758/5000][455/535][78092] Loss_D: -0.024316 Loss_G: 0.014797 Loss_D_real: -0.006577 Loss_D_fake 0.017738
[758/5000][460/535][78093] Loss_D: -0.022632 Loss_G: 0.016285 Loss_D_real: -0.032722 Loss_D_fake -0.010090
[758/5000][465/535][78094] Loss_D: -0.024646 Loss_G: -0.009391 Loss_D_real: -0.003629 Loss_D_fake 0.021017
[758/5000][470/535][78095] Loss_D: -0.023784 Loss_G: 0.018262 Loss_D_real: -0.031916 Loss_D_fake -0.008132
[758/5000][475/535][78096] Loss_D: -0.024074 Loss_G: 0.002964 Loss_D_real: -0.010666 Loss_D_fake 0.013407
[758/5000][480/535][78097] Loss_D: -0.024165 Loss_G: 0.011280 Loss_D_real: -0.021112 Loss_D_fake 0.003052
[758/5000][485/535][78098] Loss_D: -0.024658 Loss_G: 0.008858 Loss_D_real: -0.015796 Loss_D_fake 0.008861
[758/5000][490/535][78099] Loss_D: -0.025482 Loss_G: 0.014532 Loss_D_real: -0.017993 Loss_D_fake 0.007489
[758/5000][495/535][78100] Loss_D: -0.024817 Loss_G: 0.013342 Loss_D_real: -0.028465 Loss_D_fake -0.003648
[758/5000][500/535][78101] Loss_D: -0.024051 Loss_G: 0.012323 Loss_D_real: -0.017075 Loss_D_fake 0.006976
[758/5000][505/535][78102] Loss_D: -0.024805 Loss_G: 0.021365 Loss_D_real: -0.020154 Loss_D_fake 0.004651
[758/5000][510/535][78103] Loss_D: -0.024468 Loss_G: 0.020672 Loss_D_real: -0.029928 Loss_D_fake -0.005460
[758/5000][515/535][78104] Loss_D: -0.022766 Loss_G: -0.022898 Loss_D_real: 0.005830 Loss_D_fake 0.028595
[758/5000][520/535][78105] Loss_D: -0.022653 Loss_G: 0.021505 Loss_D_real: -0.027058 Loss_D_fake -0.004404
[758/5000][525/535][78106] Loss_D: -0.023717 Loss_G: -0.011632 Loss_D_real: 0.003295 Loss_D_fake 0.027012
[758/5000][530/535][78107] Loss_D: -0.023013 Loss_G: 0.023564 Loss_D_real: -0.026099 Loss_D_fake -0.003086
[758/5000][535/535][78108] Loss_D: -0.024865 Loss_G: 0.009049 Loss_D_real: -0.003834 Loss_D_fake 0.021030
[759/5000][5/535][78109] Loss_D: -0.023625 Loss_G: 0.016509 Loss_D_real: -0.021660 Loss_D_fake 0.001965
[759/5000][10/535][78110] Loss_D: -0.023208 Loss_G: 0.010434 Loss_D_real: -0.019767 Loss_D_fake 0.003441
[759/5000][15/535][78111] Loss_D: -0.023113 Loss_G: 0.019411 Loss_D_real: -0.034169 Loss_D_fake -0.011056
[759/5000][20/535][78112] Loss_D: -0.023529 Loss_G: 0.008739 Loss_D_real: -0.018266 Loss_D_fake 0.005262
[759/5000][25/535][78113] Loss_D: -0.024001 Loss_G: 0.000466 Loss_D_real: -0.014504 Loss_D_fake 0.009496
[759/5000][30/535][78114] Loss_D: -0.024410 Loss_G: 0.012169 Loss_D_real: -0.015425 Loss_D_fake 0.008985
[759/5000][35/535][78115] Loss_D: -0.024963 Loss_G: 0.014357 Loss_D_real: -0.020951 Loss_D_fake 0.004013
[759/5000][40/535][78116] Loss_D: -0.024586 Loss_G: 0.013207 Loss_D_real: -0.028317 Loss_D_fake -0.003731
[759/5000][45/535][78117] Loss_D: -0.023033 Loss_G: 0.011745 Loss_D_real: -0.024769 Loss_D_fake -0.001735
[759/5000][50/535][78118] Loss_D: -0.022572 Loss_G: 0.016884 Loss_D_real: -0.026374 Loss_D_fake -0.003802
[759/5000][55/535][78119] Loss_D: -0.023523 Loss_G: 0.019792 Loss_D_real: -0.030631 Loss_D_fake -0.007108
[759/5000][60/535][78120] Loss_D: -0.024077 Loss_G: 0.003928 Loss_D_real: -0.012106 Loss_D_fake 0.011971
[759/5000][65/535][78121] Loss_D: -0.024085 Loss_G: 0.012769 Loss_D_real: -0.020548 Loss_D_fake 0.003537
[759/5000][70/535][78122] Loss_D: -0.023175 Loss_G: 0.023037 Loss_D_real: -0.030405 Loss_D_fake -0.007230
[759/5000][75/535][78123] Loss_D: -0.024453 Loss_G: 0.005987 Loss_D_real: -0.018272 Loss_D_fake 0.006181
[759/5000][80/535][78124] Loss_D: -0.022731 Loss_G: 0.012964 Loss_D_real: -0.017407 Loss_D_fake 0.005324
[759/5000][85/535][78125] Loss_D: -0.023133 Loss_G: 0.000411 Loss_D_real: -0.016232 Loss_D_fake 0.006901
[759/5000][90/535][78126] Loss_D: -0.023702 Loss_G: 0.021288 Loss_D_real: -0.029445 Loss_D_fake -0.005743
[759/5000][95/535][78127] Loss_D: -0.023524 Loss_G: 0.010369 Loss_D_real: -0.019407 Loss_D_fake 0.004117
[759/5000][100/535][78128] Loss_D: -0.023589 Loss_G: 0.009687 Loss_D_real: -0.021615 Loss_D_fake 0.001974
[759/5000][105/535][78129] Loss_D: -0.023749 Loss_G: -0.002034 Loss_D_real: -0.021424 Loss_D_fake 0.002325
[759/5000][110/535][78130] Loss_D: -0.024797 Loss_G: 0.023656 Loss_D_real: -0.031731 Loss_D_fake -0.006934
[759/5000][115/535][78131] Loss_D: -0.025191 Loss_G: 0.016528 Loss_D_real: -0.019939 Loss_D_fake 0.005252
[759/5000][120/535][78132] Loss_D: -0.024625 Loss_G: -0.008028 Loss_D_real: -0.010913 Loss_D_fake 0.013712
[759/5000][125/535][78133] Loss_D: -0.023437 Loss_G: 0.003436 Loss_D_real: -0.009162 Loss_D_fake 0.014275
[759/5000][130/535][78134] Loss_D: -0.024454 Loss_G: 0.013572 Loss_D_real: -0.020510 Loss_D_fake 0.003944
[759/5000][135/535][78135] Loss_D: -0.024038 Loss_G: 0.002696 Loss_D_real: -0.015040 Loss_D_fake 0.008999
[759/5000][140/535][78136] Loss_D: -0.022790 Loss_G: 0.001588 Loss_D_real: -0.014035 Loss_D_fake 0.008755
[759/5000][145/535][78137] Loss_D: -0.024204 Loss_G: 0.018608 Loss_D_real: -0.024533 Loss_D_fake -0.000330
[759/5000][150/535][78138] Loss_D: -0.025695 Loss_G: -0.008248 Loss_D_real: -0.007331 Loss_D_fake 0.018364
[759/5000][155/535][78139] Loss_D: -0.023380 Loss_G: 0.022268 Loss_D_real: -0.029637 Loss_D_fake -0.006258
[759/5000][160/535][78140] Loss_D: -0.024004 Loss_G: 0.013602 Loss_D_real: -0.028038 Loss_D_fake -0.004034
[759/5000][165/535][78141] Loss_D: -0.025509 Loss_G: -0.001436 Loss_D_real: -0.020078 Loss_D_fake 0.005431
[759/5000][170/535][78142] Loss_D: -0.023916 Loss_G: 0.005860 Loss_D_real: -0.024856 Loss_D_fake -0.000940
[759/5000][175/535][78143] Loss_D: -0.022370 Loss_G: -0.014878 Loss_D_real: 0.000013 Loss_D_fake 0.022383
[759/5000][180/535][78144] Loss_D: -0.022420 Loss_G: 0.020244 Loss_D_real: -0.027265 Loss_D_fake -0.004845
[759/5000][185/535][78145] Loss_D: -0.025227 Loss_G: 0.012716 Loss_D_real: -0.020465 Loss_D_fake 0.004761
[759/5000][190/535][78146] Loss_D: -0.022085 Loss_G: 0.001139 Loss_D_real: -0.022483 Loss_D_fake -0.000398
[759/5000][195/535][78147] Loss_D: -0.025316 Loss_G: 0.011428 Loss_D_real: -0.018440 Loss_D_fake 0.006876
[759/5000][200/535][78148] Loss_D: -0.024356 Loss_G: 0.008399 Loss_D_real: -0.018587 Loss_D_fake 0.005769
[759/5000][205/535][78149] Loss_D: -0.023083 Loss_G: 0.022881 Loss_D_real: -0.019937 Loss_D_fake 0.003146
[759/5000][210/535][78150] Loss_D: -0.022664 Loss_G: 0.013169 Loss_D_real: -0.026432 Loss_D_fake -0.003768
[759/5000][215/535][78151] Loss_D: -0.023867 Loss_G: 0.019763 Loss_D_real: -0.025311 Loss_D_fake -0.001444
[759/5000][220/535][78152] Loss_D: -0.023517 Loss_G: 0.010283 Loss_D_real: -0.023871 Loss_D_fake -0.000354
[759/5000][225/535][78153] Loss_D: -0.024263 Loss_G: -0.014651 Loss_D_real: -0.005019 Loss_D_fake 0.019244
[759/5000][230/535][78154] Loss_D: -0.024256 Loss_G: 0.026208 Loss_D_real: -0.028751 Loss_D_fake -0.004496
[759/5000][235/535][78155] Loss_D: -0.024367 Loss_G: -0.014164 Loss_D_real: -0.000393 Loss_D_fake 0.023974
[759/5000][240/535][78156] Loss_D: -0.023679 Loss_G: 0.021309 Loss_D_real: -0.021724 Loss_D_fake 0.001954
[759/5000][245/535][78157] Loss_D: -0.024915 Loss_G: 0.014690 Loss_D_real: -0.015920 Loss_D_fake 0.008995
[759/5000][250/535][78158] Loss_D: -0.023533 Loss_G: 0.018119 Loss_D_real: -0.017371 Loss_D_fake 0.006161
[759/5000][255/535][78159] Loss_D: -0.023526 Loss_G: 0.024711 Loss_D_real: -0.031694 Loss_D_fake -0.008168
[759/5000][260/535][78160] Loss_D: -0.024514 Loss_G: 0.000882 Loss_D_real: -0.014422 Loss_D_fake 0.010092
[759/5000][265/535][78161] Loss_D: -0.024425 Loss_G: 0.011144 Loss_D_real: -0.020257 Loss_D_fake 0.004168
[759/5000][270/535][78162] Loss_D: -0.023861 Loss_G: 0.007109 Loss_D_real: -0.022998 Loss_D_fake 0.000863
[759/5000][275/535][78163] Loss_D: -0.023863 Loss_G: -0.007597 Loss_D_real: 0.000155 Loss_D_fake 0.024018
[759/5000][280/535][78164] Loss_D: -0.024220 Loss_G: 0.016766 Loss_D_real: -0.026052 Loss_D_fake -0.001832
[759/5000][285/535][78165] Loss_D: -0.023316 Loss_G: -0.007448 Loss_D_real: -0.018977 Loss_D_fake 0.004339
[759/5000][290/535][78166] Loss_D: -0.023558 Loss_G: 0.015355 Loss_D_real: -0.026498 Loss_D_fake -0.002940
[759/5000][295/535][78167] Loss_D: -0.021606 Loss_G: -0.018953 Loss_D_real: 0.012227 Loss_D_fake 0.033833
[759/5000][300/535][78168] Loss_D: -0.021117 Loss_G: 0.018790 Loss_D_real: -0.023338 Loss_D_fake -0.002221
[759/5000][305/535][78169] Loss_D: -0.023399 Loss_G: 0.003919 Loss_D_real: -0.012821 Loss_D_fake 0.010578
[759/5000][310/535][78170] Loss_D: -0.022653 Loss_G: 0.018602 Loss_D_real: -0.029397 Loss_D_fake -0.006744
[759/5000][315/535][78171] Loss_D: -0.024409 Loss_G: 0.004107 Loss_D_real: -0.011080 Loss_D_fake 0.013329
[759/5000][320/535][78172] Loss_D: -0.023955 Loss_G: 0.012941 Loss_D_real: -0.022074 Loss_D_fake 0.001881
[759/5000][325/535][78173] Loss_D: -0.024412 Loss_G: -0.000336 Loss_D_real: -0.005940 Loss_D_fake 0.018471
[759/5000][330/535][78174] Loss_D: -0.023593 Loss_G: 0.018145 Loss_D_real: -0.023956 Loss_D_fake -0.000363
[759/5000][335/535][78175] Loss_D: -0.022193 Loss_G: -0.004308 Loss_D_real: 0.000541 Loss_D_fake 0.022735
[759/5000][340/535][78176] Loss_D: -0.024498 Loss_G: 0.005398 Loss_D_real: -0.020739 Loss_D_fake 0.003759
[759/5000][345/535][78177] Loss_D: -0.024155 Loss_G: 0.008186 Loss_D_real: 0.000224 Loss_D_fake 0.024379
[759/5000][350/535][78178] Loss_D: -0.023937 Loss_G: 0.010646 Loss_D_real: -0.014369 Loss_D_fake 0.009568
[759/5000][355/535][78179] Loss_D: -0.023951 Loss_G: -0.006113 Loss_D_real: -0.009729 Loss_D_fake 0.014222
[759/5000][360/535][78180] Loss_D: -0.025334 Loss_G: 0.034779 Loss_D_real: -0.029899 Loss_D_fake -0.004565
[759/5000][365/535][78181] Loss_D: -0.025326 Loss_G: 0.006221 Loss_D_real: -0.023813 Loss_D_fake 0.001514
[759/5000][370/535][78182] Loss_D: -0.023934 Loss_G: 0.002138 Loss_D_real: -0.014034 Loss_D_fake 0.009901
[759/5000][375/535][78183] Loss_D: -0.023673 Loss_G: 0.022459 Loss_D_real: -0.025278 Loss_D_fake -0.001604
[759/5000][380/535][78184] Loss_D: -0.022499 Loss_G: -0.014592 Loss_D_real: -0.008480 Loss_D_fake 0.014018
[759/5000][385/535][78185] Loss_D: -0.024523 Loss_G: 0.013519 Loss_D_real: -0.019413 Loss_D_fake 0.005111
[759/5000][390/535][78186] Loss_D: -0.024294 Loss_G: 0.030997 Loss_D_real: -0.029416 Loss_D_fake -0.005122
[759/5000][395/535][78187] Loss_D: -0.023584 Loss_G: 0.010301 Loss_D_real: -0.025776 Loss_D_fake -0.002193
[759/5000][400/535][78188] Loss_D: -0.023737 Loss_G: -0.013702 Loss_D_real: -0.004956 Loss_D_fake 0.018781
[759/5000][405/535][78189] Loss_D: -0.024098 Loss_G: 0.016243 Loss_D_real: -0.026405 Loss_D_fake -0.002307
[759/5000][410/535][78190] Loss_D: -0.023521 Loss_G: 0.014576 Loss_D_real: -0.024452 Loss_D_fake -0.000932
[759/5000][415/535][78191] Loss_D: -0.023388 Loss_G: 0.027067 Loss_D_real: -0.034608 Loss_D_fake -0.011220
[759/5000][420/535][78192] Loss_D: -0.024307 Loss_G: 0.018086 Loss_D_real: -0.033958 Loss_D_fake -0.009651
[759/5000][425/535][78193] Loss_D: -0.023057 Loss_G: 0.004927 Loss_D_real: -0.018615 Loss_D_fake 0.004442
[759/5000][430/535][78194] Loss_D: -0.024201 Loss_G: 0.008936 Loss_D_real: -0.019917 Loss_D_fake 0.004284
[759/5000][435/535][78195] Loss_D: -0.023284 Loss_G: 0.022910 Loss_D_real: -0.027137 Loss_D_fake -0.003853
[759/5000][440/535][78196] Loss_D: -0.023589 Loss_G: 0.015274 Loss_D_real: -0.015713 Loss_D_fake 0.007876
[759/5000][445/535][78197] Loss_D: -0.025638 Loss_G: 0.003737 Loss_D_real: -0.025037 Loss_D_fake 0.000602
[759/5000][450/535][78198] Loss_D: -0.023012 Loss_G: -0.012178 Loss_D_real: -0.005094 Loss_D_fake 0.017918
[759/5000][455/535][78199] Loss_D: -0.023544 Loss_G: 0.012889 Loss_D_real: -0.016995 Loss_D_fake 0.006549
[759/5000][460/535][78200] Loss_D: -0.024175 Loss_G: -0.007730 Loss_D_real: -0.015731 Loss_D_fake 0.008445
[759/5000][465/535][78201] Loss_D: -0.024988 Loss_G: 0.007988 Loss_D_real: -0.020194 Loss_D_fake 0.004793
[759/5000][470/535][78202] Loss_D: -0.023914 Loss_G: 0.017561 Loss_D_real: -0.027765 Loss_D_fake -0.003851
[759/5000][475/535][78203] Loss_D: -0.023883 Loss_G: 0.017065 Loss_D_real: -0.028757 Loss_D_fake -0.004874
[759/5000][480/535][78204] Loss_D: -0.024879 Loss_G: -0.010542 Loss_D_real: -0.008060 Loss_D_fake 0.016819
[759/5000][485/535][78205] Loss_D: -0.023898 Loss_G: 0.009142 Loss_D_real: -0.028346 Loss_D_fake -0.004448
[759/5000][490/535][78206] Loss_D: -0.025552 Loss_G: 0.008234 Loss_D_real: -0.016882 Loss_D_fake 0.008669
[759/5000][495/535][78207] Loss_D: -0.024308 Loss_G: 0.014105 Loss_D_real: -0.017516 Loss_D_fake 0.006792
[759/5000][500/535][78208] Loss_D: -0.024392 Loss_G: 0.006333 Loss_D_real: -0.010629 Loss_D_fake 0.013764
[759/5000][505/535][78209] Loss_D: -0.023133 Loss_G: 0.015358 Loss_D_real: -0.030317 Loss_D_fake -0.007185
[759/5000][510/535][78210] Loss_D: -0.025318 Loss_G: 0.024860 Loss_D_real: -0.033389 Loss_D_fake -0.008071
[759/5000][515/535][78211] Loss_D: -0.024619 Loss_G: -0.012630 Loss_D_real: -0.004848 Loss_D_fake 0.019772
[759/5000][520/535][78212] Loss_D: -0.023208 Loss_G: 0.031021 Loss_D_real: -0.032023 Loss_D_fake -0.008815
[759/5000][525/535][78213] Loss_D: -0.024328 Loss_G: 0.004552 Loss_D_real: -0.018587 Loss_D_fake 0.005741
[759/5000][530/535][78214] Loss_D: -0.023170 Loss_G: 0.030257 Loss_D_real: -0.030293 Loss_D_fake -0.007123
[759/5000][535/535][78215] Loss_D: -0.023416 Loss_G: -0.015993 Loss_D_real: -0.014213 Loss_D_fake 0.009203
[760/5000][5/535][78216] Loss_D: -0.024447 Loss_G: 0.021996 Loss_D_real: -0.033463 Loss_D_fake -0.009016
[760/5000][10/535][78217] Loss_D: -0.024675 Loss_G: 0.011214 Loss_D_real: -0.025877 Loss_D_fake -0.001202
[760/5000][15/535][78218] Loss_D: -0.024457 Loss_G: 0.009036 Loss_D_real: -0.017385 Loss_D_fake 0.007072
[760/5000][20/535][78219] Loss_D: -0.023965 Loss_G: 0.018014 Loss_D_real: -0.027057 Loss_D_fake -0.003092
[760/5000][25/535][78220] Loss_D: -0.022671 Loss_G: -0.019811 Loss_D_real: 0.001960 Loss_D_fake 0.024631
[760/5000][30/535][78221] Loss_D: -0.022904 Loss_G: 0.011210 Loss_D_real: -0.019189 Loss_D_fake 0.003715
[760/5000][35/535][78222] Loss_D: -0.024553 Loss_G: 0.011053 Loss_D_real: -0.028846 Loss_D_fake -0.004293
[760/5000][40/535][78223] Loss_D: -0.024842 Loss_G: 0.007548 Loss_D_real: -0.019896 Loss_D_fake 0.004946
[760/5000][45/535][78224] Loss_D: -0.023693 Loss_G: 0.011404 Loss_D_real: -0.020537 Loss_D_fake 0.003156
[760/5000][50/535][78225] Loss_D: -0.023678 Loss_G: -0.003683 Loss_D_real: -0.011904 Loss_D_fake 0.011774
[760/5000][55/535][78226] Loss_D: -0.025347 Loss_G: -0.001100 Loss_D_real: -0.012465 Loss_D_fake 0.012882
[760/5000][60/535][78227] Loss_D: -0.025073 Loss_G: 0.009958 Loss_D_real: -0.020561 Loss_D_fake 0.004512
[760/5000][65/535][78228] Loss_D: -0.024600 Loss_G: 0.012616 Loss_D_real: -0.016496 Loss_D_fake 0.008104
[760/5000][70/535][78229] Loss_D: -0.024744 Loss_G: 0.002449 Loss_D_real: -0.013524 Loss_D_fake 0.011220
[760/5000][75/535][78230] Loss_D: -0.023029 Loss_G: -0.001332 Loss_D_real: -0.013144 Loss_D_fake 0.009885
[760/5000][80/535][78231] Loss_D: -0.023762 Loss_G: 0.024086 Loss_D_real: -0.021295 Loss_D_fake 0.002467
[760/5000][85/535][78232] Loss_D: -0.024207 Loss_G: 0.000986 Loss_D_real: -0.016684 Loss_D_fake 0.007523
[760/5000][90/535][78233] Loss_D: -0.023852 Loss_G: 0.018925 Loss_D_real: -0.028572 Loss_D_fake -0.004720
[760/5000][95/535][78234] Loss_D: -0.024009 Loss_G: 0.017159 Loss_D_real: -0.029295 Loss_D_fake -0.005286
[760/5000][100/535][78235] Loss_D: -0.024135 Loss_G: -0.012523 Loss_D_real: -0.000644 Loss_D_fake 0.023491
[760/5000][105/535][78236] Loss_D: -0.023949 Loss_G: 0.006345 Loss_D_real: -0.016265 Loss_D_fake 0.007684
[760/5000][110/535][78237] Loss_D: -0.023210 Loss_G: -0.003268 Loss_D_real: -0.009944 Loss_D_fake 0.013267
[760/5000][115/535][78238] Loss_D: -0.023737 Loss_G: 0.023709 Loss_D_real: -0.031179 Loss_D_fake -0.007442
[760/5000][120/535][78239] Loss_D: -0.023570 Loss_G: 0.004321 Loss_D_real: -0.015550 Loss_D_fake 0.008020
[760/5000][125/535][78240] Loss_D: -0.024080 Loss_G: 0.012110 Loss_D_real: -0.017854 Loss_D_fake 0.006227
[760/5000][130/535][78241] Loss_D: -0.023833 Loss_G: -0.004860 Loss_D_real: -0.015246 Loss_D_fake 0.008587
[760/5000][135/535][78242] Loss_D: -0.022691 Loss_G: 0.018957 Loss_D_real: -0.028180 Loss_D_fake -0.005488
[760/5000][140/535][78243] Loss_D: -0.024145 Loss_G: -0.003154 Loss_D_real: -0.007904 Loss_D_fake 0.016241
[760/5000][145/535][78244] Loss_D: -0.024157 Loss_G: 0.025118 Loss_D_real: -0.018875 Loss_D_fake 0.005282
[760/5000][150/535][78245] Loss_D: -0.024630 Loss_G: 0.025567 Loss_D_real: -0.030738 Loss_D_fake -0.006108
[760/5000][155/535][78246] Loss_D: -0.024734 Loss_G: -0.006914 Loss_D_real: 0.000109 Loss_D_fake 0.024843
[760/5000][160/535][78247] Loss_D: -0.024246 Loss_G: 0.000908 Loss_D_real: -0.021704 Loss_D_fake 0.002542
[760/5000][165/535][78248] Loss_D: -0.025115 Loss_G: 0.002167 Loss_D_real: -0.017608 Loss_D_fake 0.007507
[760/5000][170/535][78249] Loss_D: -0.024452 Loss_G: 0.007925 Loss_D_real: -0.022460 Loss_D_fake 0.001992
[760/5000][175/535][78250] Loss_D: -0.024838 Loss_G: 0.021917 Loss_D_real: -0.020826 Loss_D_fake 0.004012
[760/5000][180/535][78251] Loss_D: -0.023881 Loss_G: -0.002070 Loss_D_real: -0.019139 Loss_D_fake 0.004741
[760/5000][185/535][78252] Loss_D: -0.025412 Loss_G: -0.001503 Loss_D_real: -0.014100 Loss_D_fake 0.011311
[760/5000][190/535][78253] Loss_D: -0.023386 Loss_G: 0.001368 Loss_D_real: -0.005016 Loss_D_fake 0.018369
[760/5000][195/535][78254] Loss_D: -0.024240 Loss_G: 0.019271 Loss_D_real: -0.030541 Loss_D_fake -0.006301
[760/5000][200/535][78255] Loss_D: -0.024530 Loss_G: 0.018574 Loss_D_real: -0.022724 Loss_D_fake 0.001805
[760/5000][205/535][78256] Loss_D: -0.023689 Loss_G: 0.023574 Loss_D_real: -0.029781 Loss_D_fake -0.006092
[760/5000][210/535][78257] Loss_D: -0.024716 Loss_G: -0.000737 Loss_D_real: -0.010712 Loss_D_fake 0.014004
[760/5000][215/535][78258] Loss_D: -0.023800 Loss_G: 0.012340 Loss_D_real: -0.029469 Loss_D_fake -0.005670
[760/5000][220/535][78259] Loss_D: -0.023546 Loss_G: 0.023858 Loss_D_real: -0.018876 Loss_D_fake 0.004670
[760/5000][225/535][78260] Loss_D: -0.023165 Loss_G: 0.004480 Loss_D_real: -0.012819 Loss_D_fake 0.010346
[760/5000][230/535][78261] Loss_D: -0.023347 Loss_G: 0.022185 Loss_D_real: -0.033140 Loss_D_fake -0.009793
[760/5000][235/535][78262] Loss_D: -0.022748 Loss_G: 0.008731 Loss_D_real: -0.018579 Loss_D_fake 0.004169
[760/5000][240/535][78263] Loss_D: -0.023431 Loss_G: 0.004561 Loss_D_real: -0.011345 Loss_D_fake 0.012086
[760/5000][245/535][78264] Loss_D: -0.023769 Loss_G: 0.007852 Loss_D_real: -0.019822 Loss_D_fake 0.003947
[760/5000][250/535][78265] Loss_D: -0.022434 Loss_G: 0.010523 Loss_D_real: -0.027638 Loss_D_fake -0.005204
[760/5000][255/535][78266] Loss_D: -0.022905 Loss_G: 0.024413 Loss_D_real: -0.030887 Loss_D_fake -0.007982
[760/5000][260/535][78267] Loss_D: -0.021963 Loss_G: -0.019758 Loss_D_real: 0.004255 Loss_D_fake 0.026218
[760/5000][265/535][78268] Loss_D: -0.024197 Loss_G: 0.000671 Loss_D_real: -0.021242 Loss_D_fake 0.002955
[760/5000][270/535][78269] Loss_D: -0.024309 Loss_G: 0.005095 Loss_D_real: -0.021701 Loss_D_fake 0.002608
[760/5000][275/535][78270] Loss_D: -0.022031 Loss_G: 0.028298 Loss_D_real: -0.034090 Loss_D_fake -0.012059
[760/5000][280/535][78271] Loss_D: -0.023501 Loss_G: 0.013438 Loss_D_real: -0.019571 Loss_D_fake 0.003931
[760/5000][285/535][78272] Loss_D: -0.022663 Loss_G: 0.003841 Loss_D_real: -0.021374 Loss_D_fake 0.001289
[760/5000][290/535][78273] Loss_D: -0.023377 Loss_G: 0.005144 Loss_D_real: -0.015249 Loss_D_fake 0.008128
[760/5000][295/535][78274] Loss_D: -0.023677 Loss_G: 0.000761 Loss_D_real: -0.013887 Loss_D_fake 0.009790
[760/5000][300/535][78275] Loss_D: -0.024037 Loss_G: 0.015920 Loss_D_real: -0.026057 Loss_D_fake -0.002019
[760/5000][305/535][78276] Loss_D: -0.024282 Loss_G: 0.000796 Loss_D_real: -0.026653 Loss_D_fake -0.002371
[760/5000][310/535][78277] Loss_D: -0.025173 Loss_G: 0.006447 Loss_D_real: -0.020074 Loss_D_fake 0.005099
[760/5000][315/535][78278] Loss_D: -0.024137 Loss_G: 0.000463 Loss_D_real: -0.014480 Loss_D_fake 0.009657
[760/5000][320/535][78279] Loss_D: -0.022350 Loss_G: 0.019272 Loss_D_real: -0.030063 Loss_D_fake -0.007712
[760/5000][325/535][78280] Loss_D: -0.023645 Loss_G: -0.009879 Loss_D_real: -0.007180 Loss_D_fake 0.016465
[760/5000][330/535][78281] Loss_D: -0.024654 Loss_G: 0.012608 Loss_D_real: -0.005874 Loss_D_fake 0.018780
[760/5000][335/535][78282] Loss_D: -0.024712 Loss_G: 0.012888 Loss_D_real: -0.022737 Loss_D_fake 0.001975
[760/5000][340/535][78283] Loss_D: -0.025126 Loss_G: 0.003249 Loss_D_real: -0.012500 Loss_D_fake 0.012625
[760/5000][345/535][78284] Loss_D: -0.023714 Loss_G: 0.006100 Loss_D_real: -0.018730 Loss_D_fake 0.004984
[760/5000][350/535][78285] Loss_D: -0.025194 Loss_G: 0.027115 Loss_D_real: -0.027253 Loss_D_fake -0.002059
[760/5000][355/535][78286] Loss_D: -0.022965 Loss_G: -0.001616 Loss_D_real: -0.004458 Loss_D_fake 0.018507
[760/5000][360/535][78287] Loss_D: -0.023811 Loss_G: -0.010347 Loss_D_real: -0.011571 Loss_D_fake 0.012240
[760/5000][365/535][78288] Loss_D: -0.025160 Loss_G: -0.010822 Loss_D_real: -0.008982 Loss_D_fake 0.016178
[760/5000][370/535][78289] Loss_D: -0.022828 Loss_G: 0.022077 Loss_D_real: -0.030606 Loss_D_fake -0.007778
[760/5000][375/535][78290] Loss_D: -0.024813 Loss_G: 0.010894 Loss_D_real: -0.017097 Loss_D_fake 0.007716
[760/5000][380/535][78291] Loss_D: -0.022748 Loss_G: 0.033043 Loss_D_real: -0.037882 Loss_D_fake -0.015134
[760/5000][385/535][78292] Loss_D: -0.022899 Loss_G: -0.010336 Loss_D_real: -0.001323 Loss_D_fake 0.021576
[760/5000][390/535][78293] Loss_D: -0.022841 Loss_G: 0.012358 Loss_D_real: -0.020570 Loss_D_fake 0.002272
[760/5000][395/535][78294] Loss_D: -0.024191 Loss_G: -0.002085 Loss_D_real: -0.015790 Loss_D_fake 0.008402
[760/5000][400/535][78295] Loss_D: -0.023066 Loss_G: 0.001658 Loss_D_real: -0.019016 Loss_D_fake 0.004050
[760/5000][405/535][78296] Loss_D: -0.023683 Loss_G: -0.010383 Loss_D_real: -0.004658 Loss_D_fake 0.019025
[760/5000][410/535][78297] Loss_D: -0.022591 Loss_G: 0.011689 Loss_D_real: -0.026696 Loss_D_fake -0.004105
[760/5000][415/535][78298] Loss_D: -0.025025 Loss_G: 0.017057 Loss_D_real: -0.021511 Loss_D_fake 0.003514
[760/5000][420/535][78299] Loss_D: -0.023554 Loss_G: 0.006159 Loss_D_real: -0.022863 Loss_D_fake 0.000691
[760/5000][425/535][78300] Loss_D: -0.023216 Loss_G: 0.026814 Loss_D_real: -0.027556 Loss_D_fake -0.004340
[760/5000][430/535][78301] Loss_D: -0.024481 Loss_G: 0.010158 Loss_D_real: -0.018994 Loss_D_fake 0.005487
[760/5000][435/535][78302] Loss_D: -0.024401 Loss_G: -0.003514 Loss_D_real: -0.004019 Loss_D_fake 0.020382
[760/5000][440/535][78303] Loss_D: -0.024431 Loss_G: 0.020000 Loss_D_real: -0.029833 Loss_D_fake -0.005402
[760/5000][445/535][78304] Loss_D: -0.024818 Loss_G: 0.001899 Loss_D_real: -0.020580 Loss_D_fake 0.004238
[760/5000][450/535][78305] Loss_D: -0.025263 Loss_G: 0.010207 Loss_D_real: -0.022313 Loss_D_fake 0.002950
[760/5000][455/535][78306] Loss_D: -0.024210 Loss_G: 0.003944 Loss_D_real: -0.018560 Loss_D_fake 0.005650
[760/5000][460/535][78307] Loss_D: -0.023878 Loss_G: -0.002620 Loss_D_real: -0.006469 Loss_D_fake 0.017409
[760/5000][465/535][78308] Loss_D: -0.024895 Loss_G: -0.008424 Loss_D_real: -0.009733 Loss_D_fake 0.015162
[760/5000][470/535][78309] Loss_D: -0.023619 Loss_G: 0.001272 Loss_D_real: -0.019214 Loss_D_fake 0.004405
[760/5000][475/535][78310] Loss_D: -0.024035 Loss_G: 0.020873 Loss_D_real: -0.018084 Loss_D_fake 0.005951
[760/5000][480/535][78311] Loss_D: -0.023088 Loss_G: 0.019274 Loss_D_real: -0.034211 Loss_D_fake -0.011124
[760/5000][485/535][78312] Loss_D: -0.023384 Loss_G: 0.006694 Loss_D_real: -0.014613 Loss_D_fake 0.008771
[760/5000][490/535][78313] Loss_D: -0.023092 Loss_G: 0.022970 Loss_D_real: -0.023199 Loss_D_fake -0.000106
[760/5000][495/535][78314] Loss_D: -0.022581 Loss_G: 0.018531 Loss_D_real: -0.018685 Loss_D_fake 0.003896
[760/5000][500/535][78315] Loss_D: -0.023479 Loss_G: 0.000727 Loss_D_real: -0.012829 Loss_D_fake 0.010650
[760/5000][505/535][78316] Loss_D: -0.022997 Loss_G: 0.018735 Loss_D_real: -0.027398 Loss_D_fake -0.004401
[760/5000][510/535][78317] Loss_D: -0.024241 Loss_G: 0.001478 Loss_D_real: -0.017443 Loss_D_fake 0.006797
[760/5000][515/535][78318] Loss_D: -0.022565 Loss_G: 0.009344 Loss_D_real: -0.020590 Loss_D_fake 0.001976
[760/5000][520/535][78319] Loss_D: -0.023251 Loss_G: 0.022092 Loss_D_real: -0.031570 Loss_D_fake -0.008318
[760/5000][525/535][78320] Loss_D: -0.023247 Loss_G: 0.010873 Loss_D_real: -0.021755 Loss_D_fake 0.001491
[760/5000][530/535][78321] Loss_D: -0.022930 Loss_G: 0.025122 Loss_D_real: -0.019556 Loss_D_fake 0.003374
[760/5000][535/535][78322] Loss_D: -0.023122 Loss_G: 0.030193 Loss_D_real: -0.016122 Loss_D_fake 0.007001
[761/5000][5/535][78323] Loss_D: -0.023671 Loss_G: -0.007759 Loss_D_real: -0.018900 Loss_D_fake 0.004770
[761/5000][10/535][78324] Loss_D: -0.023068 Loss_G: -0.002395 Loss_D_real: -0.006140 Loss_D_fake 0.016928
[761/5000][15/535][78325] Loss_D: -0.022715 Loss_G: 0.005866 Loss_D_real: -0.021580 Loss_D_fake 0.001135
[761/5000][20/535][78326] Loss_D: -0.023693 Loss_G: 0.021972 Loss_D_real: -0.024948 Loss_D_fake -0.001256
[761/5000][25/535][78327] Loss_D: -0.021995 Loss_G: 0.022621 Loss_D_real: -0.019529 Loss_D_fake 0.002466
[761/5000][30/535][78328] Loss_D: -0.022567 Loss_G: 0.006910 Loss_D_real: -0.016227 Loss_D_fake 0.006340
[761/5000][35/535][78329] Loss_D: -0.023394 Loss_G: 0.006980 Loss_D_real: -0.014162 Loss_D_fake 0.009233
[761/5000][40/535][78330] Loss_D: -0.023627 Loss_G: 0.019955 Loss_D_real: -0.033540 Loss_D_fake -0.009913
[761/5000][45/535][78331] Loss_D: -0.025025 Loss_G: 0.011283 Loss_D_real: -0.021337 Loss_D_fake 0.003688
[761/5000][50/535][78332] Loss_D: -0.023787 Loss_G: 0.014349 Loss_D_real: -0.025943 Loss_D_fake -0.002156
[761/5000][55/535][78333] Loss_D: -0.024283 Loss_G: -0.008203 Loss_D_real: -0.000520 Loss_D_fake 0.023763
[761/5000][60/535][78334] Loss_D: -0.023967 Loss_G: 0.002000 Loss_D_real: -0.025277 Loss_D_fake -0.001309
[761/5000][65/535][78335] Loss_D: -0.023485 Loss_G: 0.005565 Loss_D_real: -0.025283 Loss_D_fake -0.001797
[761/5000][70/535][78336] Loss_D: -0.024231 Loss_G: 0.018009 Loss_D_real: -0.033554 Loss_D_fake -0.009322
[761/5000][75/535][78337] Loss_D: -0.023649 Loss_G: 0.020092 Loss_D_real: -0.029399 Loss_D_fake -0.005750
[761/5000][80/535][78338] Loss_D: -0.025671 Loss_G: 0.011624 Loss_D_real: -0.020045 Loss_D_fake 0.005626
[761/5000][85/535][78339] Loss_D: -0.023470 Loss_G: -0.011197 Loss_D_real: -0.011309 Loss_D_fake 0.012161
[761/5000][90/535][78340] Loss_D: -0.023920 Loss_G: 0.009739 Loss_D_real: -0.013664 Loss_D_fake 0.010256
[761/5000][95/535][78341] Loss_D: -0.023751 Loss_G: 0.014799 Loss_D_real: -0.026223 Loss_D_fake -0.002472
[761/5000][100/535][78342] Loss_D: -0.023670 Loss_G: -0.002794 Loss_D_real: -0.009481 Loss_D_fake 0.014189
[761/5000][105/535][78343] Loss_D: -0.022374 Loss_G: 0.028383 Loss_D_real: -0.032845 Loss_D_fake -0.010471
[761/5000][110/535][78344] Loss_D: -0.024930 Loss_G: 0.005940 Loss_D_real: -0.016440 Loss_D_fake 0.008490
[761/5000][115/535][78345] Loss_D: -0.022197 Loss_G: 0.021154 Loss_D_real: -0.034440 Loss_D_fake -0.012243
[761/5000][120/535][78346] Loss_D: -0.023574 Loss_G: 0.023724 Loss_D_real: -0.019074 Loss_D_fake 0.004500
[761/5000][125/535][78347] Loss_D: -0.023627 Loss_G: -0.019835 Loss_D_real: -0.005982 Loss_D_fake 0.017645
[761/5000][130/535][78348] Loss_D: -0.023067 Loss_G: 0.017189 Loss_D_real: -0.030216 Loss_D_fake -0.007149
[761/5000][135/535][78349] Loss_D: -0.024387 Loss_G: 0.003303 Loss_D_real: -0.015311 Loss_D_fake 0.009076
[761/5000][140/535][78350] Loss_D: -0.025071 Loss_G: 0.007328 Loss_D_real: -0.016335 Loss_D_fake 0.008736
[761/5000][145/535][78351] Loss_D: -0.024904 Loss_G: 0.018604 Loss_D_real: -0.027712 Loss_D_fake -0.002807
[761/5000][150/535][78352] Loss_D: -0.023370 Loss_G: 0.028061 Loss_D_real: -0.027796 Loss_D_fake -0.004426
[761/5000][155/535][78353] Loss_D: -0.024392 Loss_G: -0.006222 Loss_D_real: -0.009182 Loss_D_fake 0.015210
[761/5000][160/535][78354] Loss_D: -0.023269 Loss_G: 0.026581 Loss_D_real: -0.029960 Loss_D_fake -0.006690
[761/5000][165/535][78355] Loss_D: -0.024115 Loss_G: 0.003227 Loss_D_real: -0.025816 Loss_D_fake -0.001701
[761/5000][170/535][78356] Loss_D: -0.024455 Loss_G: 0.025096 Loss_D_real: -0.028982 Loss_D_fake -0.004526
[761/5000][175/535][78357] Loss_D: -0.024531 Loss_G: 0.021329 Loss_D_real: -0.030028 Loss_D_fake -0.005498
[761/5000][180/535][78358] Loss_D: -0.024225 Loss_G: 0.002545 Loss_D_real: -0.019243 Loss_D_fake 0.004982
[761/5000][185/535][78359] Loss_D: -0.022063 Loss_G: 0.022281 Loss_D_real: -0.026851 Loss_D_fake -0.004788
[761/5000][190/535][78360] Loss_D: -0.023992 Loss_G: -0.000436 Loss_D_real: -0.014951 Loss_D_fake 0.009041
[761/5000][195/535][78361] Loss_D: -0.024603 Loss_G: 0.021763 Loss_D_real: -0.027597 Loss_D_fake -0.002994
[761/5000][200/535][78362] Loss_D: -0.024182 Loss_G: -0.006192 Loss_D_real: -0.022251 Loss_D_fake 0.001931
[761/5000][205/535][78363] Loss_D: -0.023242 Loss_G: 0.025369 Loss_D_real: -0.026461 Loss_D_fake -0.003219
[761/5000][210/535][78364] Loss_D: -0.025421 Loss_G: 0.025752 Loss_D_real: -0.025815 Loss_D_fake -0.000394
[761/5000][215/535][78365] Loss_D: -0.024059 Loss_G: -0.014795 Loss_D_real: -0.006861 Loss_D_fake 0.017197
[761/5000][220/535][78366] Loss_D: -0.024342 Loss_G: 0.019499 Loss_D_real: -0.019154 Loss_D_fake 0.005188
[761/5000][225/535][78367] Loss_D: -0.024483 Loss_G: 0.008055 Loss_D_real: -0.032612 Loss_D_fake -0.008129
[761/5000][230/535][78368] Loss_D: -0.024165 Loss_G: 0.011347 Loss_D_real: -0.022181 Loss_D_fake 0.001984
[761/5000][235/535][78369] Loss_D: -0.026059 Loss_G: 0.001915 Loss_D_real: -0.021346 Loss_D_fake 0.004712
[761/5000][240/535][78370] Loss_D: -0.024559 Loss_G: -0.002961 Loss_D_real: -0.022762 Loss_D_fake 0.001797
[761/5000][245/535][78371] Loss_D: -0.024694 Loss_G: 0.009201 Loss_D_real: -0.011730 Loss_D_fake 0.012964
[761/5000][250/535][78372] Loss_D: -0.022149 Loss_G: 0.029066 Loss_D_real: -0.025714 Loss_D_fake -0.003565
[761/5000][255/535][78373] Loss_D: -0.023692 Loss_G: 0.007830 Loss_D_real: -0.022273 Loss_D_fake 0.001419
[761/5000][260/535][78374] Loss_D: -0.023077 Loss_G: 0.006272 Loss_D_real: -0.025729 Loss_D_fake -0.002652
[761/5000][265/535][78375] Loss_D: -0.024271 Loss_G: 0.006591 Loss_D_real: -0.025165 Loss_D_fake -0.000894
[761/5000][270/535][78376] Loss_D: -0.024481 Loss_G: -0.010123 Loss_D_real: 0.003103 Loss_D_fake 0.027584
[761/5000][275/535][78377] Loss_D: -0.021339 Loss_G: 0.018606 Loss_D_real: -0.039862 Loss_D_fake -0.018523
[761/5000][280/535][78378] Loss_D: -0.023735 Loss_G: 0.010969 Loss_D_real: -0.021525 Loss_D_fake 0.002211
[761/5000][285/535][78379] Loss_D: -0.024357 Loss_G: 0.000705 Loss_D_real: -0.017332 Loss_D_fake 0.007026
[761/5000][290/535][78380] Loss_D: -0.025490 Loss_G: 0.004688 Loss_D_real: -0.012362 Loss_D_fake 0.013128
[761/5000][295/535][78381] Loss_D: -0.024034 Loss_G: 0.015351 Loss_D_real: -0.033245 Loss_D_fake -0.009210
[761/5000][300/535][78382] Loss_D: -0.024241 Loss_G: -0.003300 Loss_D_real: -0.011183 Loss_D_fake 0.013058
[761/5000][305/535][78383] Loss_D: -0.022552 Loss_G: -0.008180 Loss_D_real: -0.008020 Loss_D_fake 0.014532
[761/5000][310/535][78384] Loss_D: -0.022680 Loss_G: 0.022049 Loss_D_real: -0.036455 Loss_D_fake -0.013775
[761/5000][315/535][78385] Loss_D: -0.023988 Loss_G: 0.006242 Loss_D_real: -0.012755 Loss_D_fake 0.011233
[761/5000][320/535][78386] Loss_D: -0.023913 Loss_G: -0.002353 Loss_D_real: -0.005703 Loss_D_fake 0.018210
[761/5000][325/535][78387] Loss_D: -0.024054 Loss_G: 0.012639 Loss_D_real: -0.025673 Loss_D_fake -0.001620
[761/5000][330/535][78388] Loss_D: -0.025311 Loss_G: 0.014632 Loss_D_real: -0.018402 Loss_D_fake 0.006909
[761/5000][335/535][78389] Loss_D: -0.024521 Loss_G: 0.010304 Loss_D_real: -0.024041 Loss_D_fake 0.000479
[761/5000][340/535][78390] Loss_D: -0.023604 Loss_G: 0.022703 Loss_D_real: -0.027509 Loss_D_fake -0.003905
[761/5000][345/535][78391] Loss_D: -0.022795 Loss_G: -0.012029 Loss_D_real: -0.009181 Loss_D_fake 0.013614
[761/5000][350/535][78392] Loss_D: -0.023159 Loss_G: 0.024665 Loss_D_real: -0.021528 Loss_D_fake 0.001631
[761/5000][355/535][78393] Loss_D: -0.024248 Loss_G: 0.003012 Loss_D_real: -0.019373 Loss_D_fake 0.004876
[761/5000][360/535][78394] Loss_D: -0.023665 Loss_G: 0.003581 Loss_D_real: -0.023345 Loss_D_fake 0.000320
[761/5000][365/535][78395] Loss_D: -0.023897 Loss_G: 0.003477 Loss_D_real: -0.017858 Loss_D_fake 0.006039
[761/5000][370/535][78396] Loss_D: -0.025649 Loss_G: 0.028750 Loss_D_real: -0.020717 Loss_D_fake 0.004932
[761/5000][375/535][78397] Loss_D: -0.024906 Loss_G: -0.001370 Loss_D_real: -0.016728 Loss_D_fake 0.008178
[761/5000][380/535][78398] Loss_D: -0.024749 Loss_G: 0.009020 Loss_D_real: -0.030878 Loss_D_fake -0.006129
[761/5000][385/535][78399] Loss_D: -0.023891 Loss_G: 0.010409 Loss_D_real: -0.025493 Loss_D_fake -0.001602
[761/5000][390/535][78400] Loss_D: -0.023882 Loss_G: 0.005958 Loss_D_real: -0.015331 Loss_D_fake 0.008551
[761/5000][395/535][78401] Loss_D: -0.025371 Loss_G: 0.018027 Loss_D_real: -0.028490 Loss_D_fake -0.003119
[761/5000][400/535][78402] Loss_D: -0.025898 Loss_G: 0.008399 Loss_D_real: -0.017568 Loss_D_fake 0.008330
[761/5000][405/535][78403] Loss_D: -0.024752 Loss_G: 0.006032 Loss_D_real: -0.014325 Loss_D_fake 0.010427
[761/5000][410/535][78404] Loss_D: -0.022503 Loss_G: 0.006443 Loss_D_real: -0.011004 Loss_D_fake 0.011499
[761/5000][415/535][78405] Loss_D: -0.023565 Loss_G: 0.025503 Loss_D_real: -0.023065 Loss_D_fake 0.000501
[761/5000][420/535][78406] Loss_D: -0.023560 Loss_G: 0.012052 Loss_D_real: -0.015596 Loss_D_fake 0.007964
[761/5000][425/535][78407] Loss_D: -0.023152 Loss_G: -0.014182 Loss_D_real: -0.003175 Loss_D_fake 0.019977
[761/5000][430/535][78408] Loss_D: -0.023701 Loss_G: 0.014505 Loss_D_real: -0.027028 Loss_D_fake -0.003327
[761/5000][435/535][78409] Loss_D: -0.023353 Loss_G: 0.020506 Loss_D_real: -0.027499 Loss_D_fake -0.004146
[761/5000][440/535][78410] Loss_D: -0.025051 Loss_G: 0.021667 Loss_D_real: -0.033474 Loss_D_fake -0.008423
[761/5000][445/535][78411] Loss_D: -0.023381 Loss_G: 0.000783 Loss_D_real: -0.013029 Loss_D_fake 0.010353
[761/5000][450/535][78412] Loss_D: -0.023999 Loss_G: 0.017950 Loss_D_real: -0.024107 Loss_D_fake -0.000107
[761/5000][455/535][78413] Loss_D: -0.023862 Loss_G: -0.008926 Loss_D_real: -0.009382 Loss_D_fake 0.014480
[761/5000][460/535][78414] Loss_D: -0.023769 Loss_G: 0.020323 Loss_D_real: -0.023323 Loss_D_fake 0.000446
[761/5000][465/535][78415] Loss_D: -0.025128 Loss_G: 0.013841 Loss_D_real: -0.029094 Loss_D_fake -0.003966
[761/5000][470/535][78416] Loss_D: -0.024103 Loss_G: 0.018351 Loss_D_real: -0.020055 Loss_D_fake 0.004048
[761/5000][475/535][78417] Loss_D: -0.024769 Loss_G: 0.020259 Loss_D_real: -0.027978 Loss_D_fake -0.003209
[761/5000][480/535][78418] Loss_D: -0.022806 Loss_G: 0.010701 Loss_D_real: -0.017833 Loss_D_fake 0.004973
[761/5000][485/535][78419] Loss_D: -0.023808 Loss_G: 0.011935 Loss_D_real: -0.023781 Loss_D_fake 0.000027
[761/5000][490/535][78420] Loss_D: -0.024692 Loss_G: 0.001387 Loss_D_real: -0.011982 Loss_D_fake 0.012710
[761/5000][495/535][78421] Loss_D: -0.025060 Loss_G: 0.013523 Loss_D_real: -0.027740 Loss_D_fake -0.002680
[761/5000][500/535][78422] Loss_D: -0.023788 Loss_G: 0.018607 Loss_D_real: -0.024376 Loss_D_fake -0.000588
[761/5000][505/535][78423] Loss_D: -0.025190 Loss_G: 0.009511 Loss_D_real: -0.020916 Loss_D_fake 0.004273
[761/5000][510/535][78424] Loss_D: -0.024258 Loss_G: 0.015007 Loss_D_real: -0.023067 Loss_D_fake 0.001191
[761/5000][515/535][78425] Loss_D: -0.023855 Loss_G: 0.019499 Loss_D_real: -0.025416 Loss_D_fake -0.001560
[761/5000][520/535][78426] Loss_D: -0.023396 Loss_G: 0.005837 Loss_D_real: -0.029876 Loss_D_fake -0.006480
[761/5000][525/535][78427] Loss_D: -0.023195 Loss_G: 0.027015 Loss_D_real: -0.027495 Loss_D_fake -0.004300
[761/5000][530/535][78428] Loss_D: -0.024675 Loss_G: -0.008153 Loss_D_real: -0.012114 Loss_D_fake 0.012560
[761/5000][535/535][78429] Loss_D: -0.025169 Loss_G: 0.024737 Loss_D_real: -0.037981 Loss_D_fake -0.012811
[762/5000][5/535][78430] Loss_D: -0.023581 Loss_G: 0.005403 Loss_D_real: -0.018129 Loss_D_fake 0.005453
[762/5000][10/535][78431] Loss_D: -0.023115 Loss_G: 0.005438 Loss_D_real: -0.017460 Loss_D_fake 0.005655
[762/5000][15/535][78432] Loss_D: -0.023570 Loss_G: 0.011654 Loss_D_real: -0.015306 Loss_D_fake 0.008264
[762/5000][20/535][78433] Loss_D: -0.023415 Loss_G: 0.014054 Loss_D_real: -0.025328 Loss_D_fake -0.001913
[762/5000][25/535][78434] Loss_D: -0.023726 Loss_G: 0.026146 Loss_D_real: -0.020537 Loss_D_fake 0.003189
[762/5000][30/535][78435] Loss_D: -0.023261 Loss_G: 0.018489 Loss_D_real: -0.021411 Loss_D_fake 0.001850
[762/5000][35/535][78436] Loss_D: -0.024525 Loss_G: -0.001140 Loss_D_real: -0.016126 Loss_D_fake 0.008399
[762/5000][40/535][78437] Loss_D: -0.024278 Loss_G: 0.014614 Loss_D_real: -0.029053 Loss_D_fake -0.004776
[762/5000][45/535][78438] Loss_D: -0.024551 Loss_G: -0.014203 Loss_D_real: -0.005842 Loss_D_fake 0.018709
[762/5000][50/535][78439] Loss_D: -0.024532 Loss_G: 0.008418 Loss_D_real: -0.009067 Loss_D_fake 0.015465
[762/5000][55/535][78440] Loss_D: -0.023470 Loss_G: -0.007768 Loss_D_real: -0.006714 Loss_D_fake 0.016756
[762/5000][60/535][78441] Loss_D: -0.022910 Loss_G: 0.011799 Loss_D_real: -0.026845 Loss_D_fake -0.003935
[762/5000][65/535][78442] Loss_D: -0.024836 Loss_G: 0.013950 Loss_D_real: -0.029059 Loss_D_fake -0.004223
[762/5000][70/535][78443] Loss_D: -0.024812 Loss_G: 0.008118 Loss_D_real: -0.005437 Loss_D_fake 0.019375
[762/5000][75/535][78444] Loss_D: -0.023473 Loss_G: 0.024789 Loss_D_real: -0.028417 Loss_D_fake -0.004945
[762/5000][80/535][78445] Loss_D: -0.023794 Loss_G: 0.011869 Loss_D_real: -0.019097 Loss_D_fake 0.004697
[762/5000][85/535][78446] Loss_D: -0.023870 Loss_G: 0.012473 Loss_D_real: -0.012987 Loss_D_fake 0.010883
[762/5000][90/535][78447] Loss_D: -0.024587 Loss_G: -0.016520 Loss_D_real: -0.008676 Loss_D_fake 0.015910
[762/5000][95/535][78448] Loss_D: -0.022751 Loss_G: 0.003305 Loss_D_real: -0.017263 Loss_D_fake 0.005489
[762/5000][100/535][78449] Loss_D: -0.024211 Loss_G: 0.018603 Loss_D_real: -0.028259 Loss_D_fake -0.004048
[762/5000][105/535][78450] Loss_D: -0.021964 Loss_G: 0.015753 Loss_D_real: -0.023248 Loss_D_fake -0.001284
[762/5000][110/535][78451] Loss_D: -0.024510 Loss_G: -0.003709 Loss_D_real: -0.017245 Loss_D_fake 0.007265
[762/5000][115/535][78452] Loss_D: -0.024558 Loss_G: 0.004782 Loss_D_real: -0.002891 Loss_D_fake 0.021667
[762/5000][120/535][78453] Loss_D: -0.024724 Loss_G: 0.003943 Loss_D_real: -0.008029 Loss_D_fake 0.016695
[762/5000][125/535][78454] Loss_D: -0.023748 Loss_G: 0.014046 Loss_D_real: -0.016870 Loss_D_fake 0.006878
[762/5000][130/535][78455] Loss_D: -0.023243 Loss_G: -0.008109 Loss_D_real: -0.009254 Loss_D_fake 0.013989
[762/5000][135/535][78456] Loss_D: -0.021769 Loss_G: 0.012811 Loss_D_real: -0.036025 Loss_D_fake -0.014256
[762/5000][140/535][78457] Loss_D: -0.024441 Loss_G: 0.007118 Loss_D_real: -0.011619 Loss_D_fake 0.012823
[762/5000][145/535][78458] Loss_D: -0.023510 Loss_G: 0.009954 Loss_D_real: -0.014902 Loss_D_fake 0.008608
[762/5000][150/535][78459] Loss_D: -0.023982 Loss_G: -0.007492 Loss_D_real: -0.004944 Loss_D_fake 0.019038
[762/5000][155/535][78460] Loss_D: -0.022623 Loss_G: 0.024249 Loss_D_real: -0.023731 Loss_D_fake -0.001108
[762/5000][160/535][78461] Loss_D: -0.023358 Loss_G: -0.008371 Loss_D_real: -0.013413 Loss_D_fake 0.009945
[762/5000][165/535][78462] Loss_D: -0.023886 Loss_G: 0.006704 Loss_D_real: -0.019392 Loss_D_fake 0.004494
[762/5000][170/535][78463] Loss_D: -0.024360 Loss_G: 0.019504 Loss_D_real: -0.021179 Loss_D_fake 0.003182
[762/5000][175/535][78464] Loss_D: -0.022906 Loss_G: 0.013394 Loss_D_real: -0.034941 Loss_D_fake -0.012036
[762/5000][180/535][78465] Loss_D: -0.023314 Loss_G: 0.038185 Loss_D_real: -0.028837 Loss_D_fake -0.005523
[762/5000][185/535][78466] Loss_D: -0.022866 Loss_G: -0.003583 Loss_D_real: -0.008468 Loss_D_fake 0.014398
[762/5000][190/535][78467] Loss_D: -0.025430 Loss_G: 0.006807 Loss_D_real: -0.021669 Loss_D_fake 0.003760
[762/5000][195/535][78468] Loss_D: -0.023720 Loss_G: 0.005806 Loss_D_real: -0.007711 Loss_D_fake 0.016009
[762/5000][200/535][78469] Loss_D: -0.024030 Loss_G: 0.016427 Loss_D_real: -0.020245 Loss_D_fake 0.003785
[762/5000][205/535][78470] Loss_D: -0.023068 Loss_G: -0.007717 Loss_D_real: -0.003635 Loss_D_fake 0.019432
[762/5000][210/535][78471] Loss_D: -0.024378 Loss_G: 0.009711 Loss_D_real: -0.025523 Loss_D_fake -0.001146
[762/5000][215/535][78472] Loss_D: -0.024111 Loss_G: 0.021415 Loss_D_real: -0.021841 Loss_D_fake 0.002270
[762/5000][220/535][78473] Loss_D: -0.023813 Loss_G: 0.002983 Loss_D_real: -0.010541 Loss_D_fake 0.013272
[762/5000][225/535][78474] Loss_D: -0.024457 Loss_G: 0.017942 Loss_D_real: -0.023140 Loss_D_fake 0.001317
[762/5000][230/535][78475] Loss_D: -0.024128 Loss_G: 0.023216 Loss_D_real: -0.028581 Loss_D_fake -0.004454
[762/5000][235/535][78476] Loss_D: -0.025018 Loss_G: 0.009135 Loss_D_real: -0.020944 Loss_D_fake 0.004074
[762/5000][240/535][78477] Loss_D: -0.025814 Loss_G: 0.013784 Loss_D_real: -0.020339 Loss_D_fake 0.005475
[762/5000][245/535][78478] Loss_D: -0.024647 Loss_G: 0.000031 Loss_D_real: -0.008413 Loss_D_fake 0.016234
[762/5000][250/535][78479] Loss_D: -0.022495 Loss_G: 0.023188 Loss_D_real: -0.035613 Loss_D_fake -0.013118
[762/5000][255/535][78480] Loss_D: -0.023644 Loss_G: 0.013098 Loss_D_real: -0.025518 Loss_D_fake -0.001874
[762/5000][260/535][78481] Loss_D: -0.024838 Loss_G: 0.014691 Loss_D_real: -0.031761 Loss_D_fake -0.006923
[762/5000][265/535][78482] Loss_D: -0.025675 Loss_G: 0.017323 Loss_D_real: -0.017799 Loss_D_fake 0.007876
[762/5000][270/535][78483] Loss_D: -0.022847 Loss_G: -0.014150 Loss_D_real: -0.009636 Loss_D_fake 0.013210
[762/5000][275/535][78484] Loss_D: -0.022975 Loss_G: 0.007590 Loss_D_real: -0.009852 Loss_D_fake 0.013123
[762/5000][280/535][78485] Loss_D: -0.025184 Loss_G: 0.016794 Loss_D_real: -0.024639 Loss_D_fake 0.000545
[762/5000][285/535][78486] Loss_D: -0.022910 Loss_G: 0.018603 Loss_D_real: -0.018432 Loss_D_fake 0.004478
[762/5000][290/535][78487] Loss_D: -0.023121 Loss_G: 0.011827 Loss_D_real: -0.009908 Loss_D_fake 0.013213
[762/5000][295/535][78488] Loss_D: -0.024022 Loss_G: 0.017258 Loss_D_real: -0.032712 Loss_D_fake -0.008691
[762/5000][300/535][78489] Loss_D: -0.024394 Loss_G: 0.017891 Loss_D_real: -0.028601 Loss_D_fake -0.004207
[762/5000][305/535][78490] Loss_D: -0.023551 Loss_G: -0.011392 Loss_D_real: -0.004434 Loss_D_fake 0.019117
[762/5000][310/535][78491] Loss_D: -0.021947 Loss_G: 0.031929 Loss_D_real: -0.035703 Loss_D_fake -0.013756
[762/5000][315/535][78492] Loss_D: -0.024002 Loss_G: 0.025792 Loss_D_real: -0.023649 Loss_D_fake 0.000353
[762/5000][320/535][78493] Loss_D: -0.025147 Loss_G: -0.009674 Loss_D_real: -0.014385 Loss_D_fake 0.010762
[762/5000][325/535][78494] Loss_D: -0.024043 Loss_G: 0.006266 Loss_D_real: -0.015576 Loss_D_fake 0.008467
[762/5000][330/535][78495] Loss_D: -0.022823 Loss_G: 0.032749 Loss_D_real: -0.043584 Loss_D_fake -0.020762
[762/5000][335/535][78496] Loss_D: -0.024529 Loss_G: -0.001029 Loss_D_real: -0.009916 Loss_D_fake 0.014613
[762/5000][340/535][78497] Loss_D: -0.022947 Loss_G: 0.013906 Loss_D_real: -0.022434 Loss_D_fake 0.000513
[762/5000][345/535][78498] Loss_D: -0.024561 Loss_G: -0.001771 Loss_D_real: -0.013251 Loss_D_fake 0.011310
[762/5000][350/535][78499] Loss_D: -0.022320 Loss_G: 0.019279 Loss_D_real: -0.024261 Loss_D_fake -0.001941
[762/5000][355/535][78500] Loss_D: -0.023464 Loss_G: 0.021177 Loss_D_real: -0.022012 Loss_D_fake 0.001452
[762/5000][455/535][78501] Loss_D: -0.027134 Loss_G: -0.007443 Loss_D_real: 0.000121 Loss_D_fake 0.027255
[762/5000][460/535][78502] Loss_D: -0.024064 Loss_G: 0.015883 Loss_D_real: -0.019279 Loss_D_fake 0.004785
[762/5000][465/535][78503] Loss_D: -0.022642 Loss_G: 0.002915 Loss_D_real: -0.003396 Loss_D_fake 0.019246
[762/5000][470/535][78504] Loss_D: -0.022861 Loss_G: 0.010818 Loss_D_real: -0.023976 Loss_D_fake -0.001115
[762/5000][475/535][78505] Loss_D: -0.022769 Loss_G: 0.014816 Loss_D_real: -0.022990 Loss_D_fake -0.000221
[762/5000][480/535][78506] Loss_D: -0.023922 Loss_G: 0.006880 Loss_D_real: -0.010636 Loss_D_fake 0.013285
[762/5000][485/535][78507] Loss_D: -0.022830 Loss_G: 0.001544 Loss_D_real: -0.016212 Loss_D_fake 0.006618
[762/5000][490/535][78508] Loss_D: -0.022622 Loss_G: 0.002943 Loss_D_real: -0.017608 Loss_D_fake 0.005014
[762/5000][495/535][78509] Loss_D: -0.022860 Loss_G: 0.019047 Loss_D_real: -0.020683 Loss_D_fake 0.002177
[762/5000][500/535][78510] Loss_D: -0.024763 Loss_G: 0.013530 Loss_D_real: -0.017648 Loss_D_fake 0.007115
[762/5000][505/535][78511] Loss_D: -0.024263 Loss_G: 0.016662 Loss_D_real: -0.026025 Loss_D_fake -0.001762
[762/5000][510/535][78512] Loss_D: -0.023821 Loss_G: -0.001888 Loss_D_real: -0.015077 Loss_D_fake 0.008744
[762/5000][515/535][78513] Loss_D: -0.023097 Loss_G: 0.012772 Loss_D_real: -0.019792 Loss_D_fake 0.003305
[762/5000][520/535][78514] Loss_D: -0.023727 Loss_G: 0.016569 Loss_D_real: -0.018199 Loss_D_fake 0.005528
[762/5000][525/535][78515] Loss_D: -0.023376 Loss_G: 0.001247 Loss_D_real: -0.025217 Loss_D_fake -0.001841
[762/5000][530/535][78516] Loss_D: -0.024012 Loss_G: 0.010867 Loss_D_real: -0.023808 Loss_D_fake 0.000205
[762/5000][535/535][78517] Loss_D: -0.024620 Loss_G: 0.020789 Loss_D_real: -0.018288 Loss_D_fake 0.006332
[763/5000][5/535][78518] Loss_D: -0.024422 Loss_G: 0.003283 Loss_D_real: -0.022461 Loss_D_fake 0.001961
[763/5000][10/535][78519] Loss_D: -0.023803 Loss_G: -0.002171 Loss_D_real: -0.015791 Loss_D_fake 0.008012
[763/5000][15/535][78520] Loss_D: -0.023508 Loss_G: 0.027146 Loss_D_real: -0.025179 Loss_D_fake -0.001671
[763/5000][20/535][78521] Loss_D: -0.024062 Loss_G: -0.003063 Loss_D_real: -0.018325 Loss_D_fake 0.005737
[763/5000][25/535][78522] Loss_D: -0.024039 Loss_G: 0.017434 Loss_D_real: -0.027473 Loss_D_fake -0.003434
[763/5000][30/535][78523] Loss_D: -0.024052 Loss_G: 0.018319 Loss_D_real: -0.012156 Loss_D_fake 0.011896
[763/5000][35/535][78524] Loss_D: -0.023402 Loss_G: 0.004386 Loss_D_real: -0.014462 Loss_D_fake 0.008941
[763/5000][40/535][78525] Loss_D: -0.024343 Loss_G: 0.024762 Loss_D_real: -0.022972 Loss_D_fake 0.001371
[763/5000][45/535][78526] Loss_D: -0.022991 Loss_G: 0.016785 Loss_D_real: -0.031820 Loss_D_fake -0.008829
[763/5000][50/535][78527] Loss_D: -0.024555 Loss_G: -0.001389 Loss_D_real: -0.020143 Loss_D_fake 0.004411
[763/5000][55/535][78528] Loss_D: -0.023061 Loss_G: 0.000417 Loss_D_real: -0.012110 Loss_D_fake 0.010951
[763/5000][60/535][78529] Loss_D: -0.022954 Loss_G: 0.011404 Loss_D_real: -0.010373 Loss_D_fake 0.012582
[763/5000][65/535][78530] Loss_D: -0.023900 Loss_G: -0.007328 Loss_D_real: -0.011604 Loss_D_fake 0.012296
[763/5000][70/535][78531] Loss_D: -0.023370 Loss_G: 0.014997 Loss_D_real: -0.026523 Loss_D_fake -0.003153
[763/5000][75/535][78532] Loss_D: -0.022446 Loss_G: -0.026361 Loss_D_real: -0.001832 Loss_D_fake 0.020614
[763/5000][80/535][78533] Loss_D: -0.022248 Loss_G: 0.020971 Loss_D_real: -0.027013 Loss_D_fake -0.004765
[763/5000][85/535][78534] Loss_D: -0.023975 Loss_G: 0.006694 Loss_D_real: -0.013673 Loss_D_fake 0.010302
[763/5000][90/535][78535] Loss_D: -0.022852 Loss_G: -0.000052 Loss_D_real: -0.017744 Loss_D_fake 0.005107
[763/5000][95/535][78536] Loss_D: -0.024567 Loss_G: 0.019446 Loss_D_real: -0.018604 Loss_D_fake 0.005963
[763/5000][100/535][78537] Loss_D: -0.024737 Loss_G: 0.018655 Loss_D_real: -0.020167 Loss_D_fake 0.004570
[763/5000][105/535][78538] Loss_D: -0.023901 Loss_G: 0.027597 Loss_D_real: -0.028311 Loss_D_fake -0.004409
[763/5000][110/535][78539] Loss_D: -0.020743 Loss_G: -0.021231 Loss_D_real: 0.009728 Loss_D_fake 0.030471
[763/5000][115/535][78540] Loss_D: -0.023047 Loss_G: 0.013482 Loss_D_real: -0.024567 Loss_D_fake -0.001521
[763/5000][120/535][78541] Loss_D: -0.023692 Loss_G: 0.006503 Loss_D_real: -0.017512 Loss_D_fake 0.006180
[763/5000][125/535][78542] Loss_D: -0.023339 Loss_G: 0.003795 Loss_D_real: -0.008317 Loss_D_fake 0.015023
[763/5000][130/535][78543] Loss_D: -0.024045 Loss_G: -0.004099 Loss_D_real: -0.017987 Loss_D_fake 0.006058
[763/5000][135/535][78544] Loss_D: -0.023426 Loss_G: 0.021635 Loss_D_real: -0.032748 Loss_D_fake -0.009322
[763/5000][140/535][78545] Loss_D: -0.023884 Loss_G: 0.005479 Loss_D_real: -0.015837 Loss_D_fake 0.008047
[763/5000][145/535][78546] Loss_D: -0.023017 Loss_G: -0.010192 Loss_D_real: 0.004387 Loss_D_fake 0.027404
[763/5000][150/535][78547] Loss_D: -0.022827 Loss_G: 0.016883 Loss_D_real: -0.024833 Loss_D_fake -0.002006
[763/5000][155/535][78548] Loss_D: -0.025094 Loss_G: 0.010001 Loss_D_real: -0.028302 Loss_D_fake -0.003207
[763/5000][160/535][78549] Loss_D: -0.023265 Loss_G: 0.016447 Loss_D_real: -0.020136 Loss_D_fake 0.003129
[763/5000][165/535][78550] Loss_D: -0.023169 Loss_G: -0.006745 Loss_D_real: -0.002176 Loss_D_fake 0.020994
[763/5000][170/535][78551] Loss_D: -0.023156 Loss_G: 0.010395 Loss_D_real: -0.011108 Loss_D_fake 0.012048
[763/5000][175/535][78552] Loss_D: -0.024784 Loss_G: 0.012390 Loss_D_real: -0.021597 Loss_D_fake 0.003188
[763/5000][180/535][78553] Loss_D: -0.021761 Loss_G: 0.032666 Loss_D_real: -0.042183 Loss_D_fake -0.020422
[763/5000][185/535][78554] Loss_D: -0.025136 Loss_G: -0.010271 Loss_D_real: -0.010776 Loss_D_fake 0.014360
[763/5000][190/535][78555] Loss_D: -0.024126 Loss_G: 0.009245 Loss_D_real: -0.026665 Loss_D_fake -0.002538
[763/5000][195/535][78556] Loss_D: -0.023463 Loss_G: -0.007588 Loss_D_real: -0.010522 Loss_D_fake 0.012941
[763/5000][200/535][78557] Loss_D: -0.023962 Loss_G: 0.011011 Loss_D_real: -0.023039 Loss_D_fake 0.000924
[763/5000][205/535][78558] Loss_D: -0.023960 Loss_G: 0.013841 Loss_D_real: -0.030514 Loss_D_fake -0.006554
[763/5000][210/535][78559] Loss_D: -0.024703 Loss_G: 0.002231 Loss_D_real: -0.009938 Loss_D_fake 0.014765
[763/5000][215/535][78560] Loss_D: -0.024939 Loss_G: 0.004520 Loss_D_real: -0.012779 Loss_D_fake 0.012160
[763/5000][220/535][78561] Loss_D: -0.022864 Loss_G: 0.016558 Loss_D_real: -0.021814 Loss_D_fake 0.001050
[763/5000][225/535][78562] Loss_D: -0.024389 Loss_G: 0.025878 Loss_D_real: -0.024165 Loss_D_fake 0.000224
[763/5000][230/535][78563] Loss_D: -0.022667 Loss_G: -0.003125 Loss_D_real: -0.010980 Loss_D_fake 0.011687
[763/5000][235/535][78564] Loss_D: -0.022396 Loss_G: 0.002051 Loss_D_real: -0.011777 Loss_D_fake 0.010619
[763/5000][240/535][78565] Loss_D: -0.021651 Loss_G: 0.029498 Loss_D_real: -0.028710 Loss_D_fake -0.007059
[763/5000][245/535][78566] Loss_D: -0.023277 Loss_G: 0.008996 Loss_D_real: -0.020426 Loss_D_fake 0.002850
[763/5000][250/535][78567] Loss_D: -0.024236 Loss_G: 0.009386 Loss_D_real: -0.022791 Loss_D_fake 0.001445
[763/5000][255/535][78568] Loss_D: -0.024337 Loss_G: 0.017608 Loss_D_real: -0.028714 Loss_D_fake -0.004377
[763/5000][260/535][78569] Loss_D: -0.023377 Loss_G: 0.031474 Loss_D_real: -0.033140 Loss_D_fake -0.009763
[763/5000][265/535][78570] Loss_D: -0.023817 Loss_G: 0.015210 Loss_D_real: -0.020252 Loss_D_fake 0.003565
[763/5000][270/535][78571] Loss_D: -0.024025 Loss_G: 0.016013 Loss_D_real: -0.029118 Loss_D_fake -0.005093
[763/5000][275/535][78572] Loss_D: -0.023784 Loss_G: 0.008824 Loss_D_real: -0.031101 Loss_D_fake -0.007317
[763/5000][280/535][78573] Loss_D: -0.024956 Loss_G: 0.013667 Loss_D_real: -0.028426 Loss_D_fake -0.003470
[763/5000][285/535][78574] Loss_D: -0.022709 Loss_G: 0.006645 Loss_D_real: -0.000875 Loss_D_fake 0.021834
[763/5000][290/535][78575] Loss_D: -0.023371 Loss_G: -0.011744 Loss_D_real: -0.010192 Loss_D_fake 0.013180
[763/5000][295/535][78576] Loss_D: -0.024165 Loss_G: 0.011015 Loss_D_real: -0.016757 Loss_D_fake 0.007409
[763/5000][300/535][78577] Loss_D: -0.024013 Loss_G: 0.003208 Loss_D_real: -0.019296 Loss_D_fake 0.004717
[763/5000][305/535][78578] Loss_D: -0.023635 Loss_G: 0.013915 Loss_D_real: -0.020295 Loss_D_fake 0.003340
[763/5000][310/535][78579] Loss_D: -0.024259 Loss_G: 0.006162 Loss_D_real: -0.011239 Loss_D_fake 0.013021
[763/5000][315/535][78580] Loss_D: -0.023116 Loss_G: 0.020351 Loss_D_real: -0.034928 Loss_D_fake -0.011812
[763/5000][320/535][78581] Loss_D: -0.024834 Loss_G: -0.000315 Loss_D_real: -0.005618 Loss_D_fake 0.019216
[763/5000][325/535][78582] Loss_D: -0.024295 Loss_G: 0.011171 Loss_D_real: -0.019243 Loss_D_fake 0.005053
[763/5000][330/535][78583] Loss_D: -0.023744 Loss_G: -0.007210 Loss_D_real: -0.006277 Loss_D_fake 0.017467
[763/5000][335/535][78584] Loss_D: -0.023814 Loss_G: 0.018189 Loss_D_real: -0.037764 Loss_D_fake -0.013950
[763/5000][340/535][78585] Loss_D: -0.024136 Loss_G: 0.007758 Loss_D_real: -0.026212 Loss_D_fake -0.002077
[763/5000][345/535][78586] Loss_D: -0.024255 Loss_G: 0.018129 Loss_D_real: -0.022213 Loss_D_fake 0.002042
[763/5000][350/535][78587] Loss_D: -0.024702 Loss_G: -0.000459 Loss_D_real: -0.021855 Loss_D_fake 0.002847
[763/5000][355/535][78588] Loss_D: -0.022582 Loss_G: -0.000681 Loss_D_real: -0.016410 Loss_D_fake 0.006172
[763/5000][360/535][78589] Loss_D: -0.022793 Loss_G: 0.018273 Loss_D_real: -0.028216 Loss_D_fake -0.005423
[763/5000][365/535][78590] Loss_D: -0.024148 Loss_G: -0.005444 Loss_D_real: -0.007569 Loss_D_fake 0.016579
[763/5000][370/535][78591] Loss_D: -0.022194 Loss_G: 0.021506 Loss_D_real: -0.033295 Loss_D_fake -0.011101
[763/5000][375/535][78592] Loss_D: -0.021638 Loss_G: -0.000653 Loss_D_real: -0.013787 Loss_D_fake 0.007851
[763/5000][380/535][78593] Loss_D: -0.024592 Loss_G: 0.025404 Loss_D_real: -0.032851 Loss_D_fake -0.008259
[763/5000][385/535][78594] Loss_D: -0.020875 Loss_G: -0.021249 Loss_D_real: 0.001148 Loss_D_fake 0.022022
[763/5000][390/535][78595] Loss_D: -0.022604 Loss_G: 0.008247 Loss_D_real: -0.024997 Loss_D_fake -0.002393
[763/5000][395/535][78596] Loss_D: -0.024489 Loss_G: 0.031526 Loss_D_real: -0.019694 Loss_D_fake 0.004795
[763/5000][400/535][78597] Loss_D: -0.025201 Loss_G: -0.005726 Loss_D_real: -0.013746 Loss_D_fake 0.011454
[763/5000][405/535][78598] Loss_D: -0.023705 Loss_G: -0.008670 Loss_D_real: -0.010516 Loss_D_fake 0.013189
[763/5000][410/535][78599] Loss_D: -0.022782 Loss_G: 0.011879 Loss_D_real: -0.024212 Loss_D_fake -0.001430
[763/5000][415/535][78600] Loss_D: -0.021999 Loss_G: 0.029992 Loss_D_real: -0.026124 Loss_D_fake -0.004126
[763/5000][420/535][78601] Loss_D: -0.023889 Loss_G: 0.008541 Loss_D_real: -0.020603 Loss_D_fake 0.003286
[763/5000][425/535][78602] Loss_D: -0.024768 Loss_G: 0.018638 Loss_D_real: -0.034420 Loss_D_fake -0.009651
[763/5000][430/535][78603] Loss_D: -0.023657 Loss_G: 0.016056 Loss_D_real: -0.022179 Loss_D_fake 0.001478
[763/5000][435/535][78604] Loss_D: -0.023826 Loss_G: 0.006087 Loss_D_real: -0.022776 Loss_D_fake 0.001050
[763/5000][440/535][78605] Loss_D: -0.025513 Loss_G: 0.008740 Loss_D_real: -0.016604 Loss_D_fake 0.008909
[763/5000][445/535][78606] Loss_D: -0.023281 Loss_G: 0.006130 Loss_D_real: -0.019285 Loss_D_fake 0.003996
[763/5000][450/535][78607] Loss_D: -0.023877 Loss_G: 0.027255 Loss_D_real: -0.031463 Loss_D_fake -0.007585
[763/5000][455/535][78608] Loss_D: -0.023720 Loss_G: 0.014008 Loss_D_real: -0.027089 Loss_D_fake -0.003370
[763/5000][460/535][78609] Loss_D: -0.023384 Loss_G: -0.018612 Loss_D_real: 0.001717 Loss_D_fake 0.025101
[763/5000][465/535][78610] Loss_D: -0.022711 Loss_G: 0.009594 Loss_D_real: -0.021564 Loss_D_fake 0.001146
[763/5000][470/535][78611] Loss_D: -0.023341 Loss_G: 0.001495 Loss_D_real: -0.009965 Loss_D_fake 0.013376
[763/5000][475/535][78612] Loss_D: -0.023040 Loss_G: 0.031215 Loss_D_real: -0.026600 Loss_D_fake -0.003560
[763/5000][480/535][78613] Loss_D: -0.023658 Loss_G: -0.004495 Loss_D_real: -0.014247 Loss_D_fake 0.009411
[763/5000][485/535][78614] Loss_D: -0.024301 Loss_G: 0.023143 Loss_D_real: -0.036779 Loss_D_fake -0.012478
[763/5000][490/535][78615] Loss_D: -0.023038 Loss_G: -0.002556 Loss_D_real: -0.014520 Loss_D_fake 0.008518
[763/5000][495/535][78616] Loss_D: -0.023972 Loss_G: 0.008641 Loss_D_real: -0.026258 Loss_D_fake -0.002286
[763/5000][500/535][78617] Loss_D: -0.023379 Loss_G: -0.001013 Loss_D_real: -0.017261 Loss_D_fake 0.006119
[763/5000][505/535][78618] Loss_D: -0.024144 Loss_G: -0.001608 Loss_D_real: -0.007362 Loss_D_fake 0.016782
[763/5000][510/535][78619] Loss_D: -0.024765 Loss_G: 0.013748 Loss_D_real: -0.035171 Loss_D_fake -0.010406
[763/5000][515/535][78620] Loss_D: -0.023963 Loss_G: -0.014603 Loss_D_real: -0.008959 Loss_D_fake 0.015004
[763/5000][520/535][78621] Loss_D: -0.024577 Loss_G: 0.022699 Loss_D_real: -0.017334 Loss_D_fake 0.007243
[763/5000][525/535][78622] Loss_D: -0.025091 Loss_G: 0.011394 Loss_D_real: -0.027174 Loss_D_fake -0.002082
[763/5000][530/535][78623] Loss_D: -0.024125 Loss_G: 0.029842 Loss_D_real: -0.031549 Loss_D_fake -0.007423
[763/5000][535/535][78624] Loss_D: -0.023603 Loss_G: 0.019822 Loss_D_real: -0.014707 Loss_D_fake 0.008896
[764/5000][5/535][78625] Loss_D: -0.024128 Loss_G: 0.007084 Loss_D_real: -0.023672 Loss_D_fake 0.000457
[764/5000][10/535][78626] Loss_D: -0.025024 Loss_G: -0.000689 Loss_D_real: -0.008751 Loss_D_fake 0.016273
[764/5000][15/535][78627] Loss_D: -0.025045 Loss_G: -0.004626 Loss_D_real: -0.016233 Loss_D_fake 0.008811
[764/5000][20/535][78628] Loss_D: -0.024873 Loss_G: 0.019283 Loss_D_real: -0.033581 Loss_D_fake -0.008708
[764/5000][25/535][78629] Loss_D: -0.025029 Loss_G: 0.008575 Loss_D_real: -0.012765 Loss_D_fake 0.012264
[764/5000][30/535][78630] Loss_D: -0.022056 Loss_G: 0.025864 Loss_D_real: -0.041041 Loss_D_fake -0.018985
[764/5000][35/535][78631] Loss_D: -0.024102 Loss_G: 0.009108 Loss_D_real: -0.011095 Loss_D_fake 0.013007
[764/5000][40/535][78632] Loss_D: -0.023136 Loss_G: -0.010566 Loss_D_real: -0.010573 Loss_D_fake 0.012563
[764/5000][45/535][78633] Loss_D: -0.024930 Loss_G: 0.000424 Loss_D_real: -0.012599 Loss_D_fake 0.012331
[764/5000][50/535][78634] Loss_D: -0.023127 Loss_G: 0.017642 Loss_D_real: -0.025607 Loss_D_fake -0.002480
[764/5000][55/535][78635] Loss_D: -0.023436 Loss_G: 0.011608 Loss_D_real: -0.023828 Loss_D_fake -0.000392
[764/5000][60/535][78636] Loss_D: -0.023471 Loss_G: -0.012992 Loss_D_real: -0.010005 Loss_D_fake 0.013466
[764/5000][65/535][78637] Loss_D: -0.021890 Loss_G: -0.011052 Loss_D_real: -0.003595 Loss_D_fake 0.018295
[764/5000][70/535][78638] Loss_D: -0.022768 Loss_G: 0.000169 Loss_D_real: -0.005406 Loss_D_fake 0.017362
[764/5000][75/535][78639] Loss_D: -0.023812 Loss_G: 0.012688 Loss_D_real: -0.017737 Loss_D_fake 0.006074
[764/5000][80/535][78640] Loss_D: -0.023110 Loss_G: 0.003934 Loss_D_real: -0.010159 Loss_D_fake 0.012951
[764/5000][85/535][78641] Loss_D: -0.024368 Loss_G: 0.006960 Loss_D_real: -0.013393 Loss_D_fake 0.010975
[764/5000][90/535][78642] Loss_D: -0.022953 Loss_G: -0.000650 Loss_D_real: -0.013480 Loss_D_fake 0.009473
[764/5000][95/535][78643] Loss_D: -0.024276 Loss_G: 0.020193 Loss_D_real: -0.033698 Loss_D_fake -0.009421
[764/5000][100/535][78644] Loss_D: -0.024057 Loss_G: 0.002396 Loss_D_real: -0.016098 Loss_D_fake 0.007960
[764/5000][105/535][78645] Loss_D: -0.022624 Loss_G: -0.010225 Loss_D_real: 0.004125 Loss_D_fake 0.026749
[764/5000][110/535][78646] Loss_D: -0.023373 Loss_G: 0.020366 Loss_D_real: -0.026846 Loss_D_fake -0.003473
[764/5000][115/535][78647] Loss_D: -0.023408 Loss_G: 0.016433 Loss_D_real: -0.029258 Loss_D_fake -0.005850
[764/5000][120/535][78648] Loss_D: -0.022908 Loss_G: 0.017002 Loss_D_real: -0.031368 Loss_D_fake -0.008460
[764/5000][125/535][78649] Loss_D: -0.022828 Loss_G: 0.020394 Loss_D_real: -0.024614 Loss_D_fake -0.001786
[764/5000][130/535][78650] Loss_D: -0.024373 Loss_G: 0.000274 Loss_D_real: -0.012190 Loss_D_fake 0.012183
[764/5000][135/535][78651] Loss_D: -0.022143 Loss_G: 0.016418 Loss_D_real: -0.026828 Loss_D_fake -0.004685
[764/5000][140/535][78652] Loss_D: -0.024983 Loss_G: 0.003848 Loss_D_real: -0.010310 Loss_D_fake 0.014673
[764/5000][145/535][78653] Loss_D: -0.024161 Loss_G: 0.013322 Loss_D_real: -0.019941 Loss_D_fake 0.004221
[764/5000][150/535][78654] Loss_D: -0.024058 Loss_G: 0.009105 Loss_D_real: -0.017090 Loss_D_fake 0.006968
[764/5000][155/535][78655] Loss_D: -0.024781 Loss_G: 0.010355 Loss_D_real: -0.018475 Loss_D_fake 0.006306
[764/5000][160/535][78656] Loss_D: -0.024204 Loss_G: 0.018769 Loss_D_real: -0.020080 Loss_D_fake 0.004124
[764/5000][165/535][78657] Loss_D: -0.022493 Loss_G: 0.018677 Loss_D_real: -0.016871 Loss_D_fake 0.005622
[764/5000][170/535][78658] Loss_D: -0.024826 Loss_G: 0.009717 Loss_D_real: -0.002394 Loss_D_fake 0.022432
[764/5000][175/535][78659] Loss_D: -0.024260 Loss_G: -0.014927 Loss_D_real: -0.008559 Loss_D_fake 0.015702
[764/5000][180/535][78660] Loss_D: -0.024217 Loss_G: 0.011109 Loss_D_real: -0.022230 Loss_D_fake 0.001987
[764/5000][185/535][78661] Loss_D: -0.023855 Loss_G: 0.019211 Loss_D_real: -0.023582 Loss_D_fake 0.000273
[764/5000][190/535][78662] Loss_D: -0.024177 Loss_G: 0.016932 Loss_D_real: -0.010849 Loss_D_fake 0.013327
[764/5000][195/535][78663] Loss_D: -0.023845 Loss_G: -0.004755 Loss_D_real: -0.012646 Loss_D_fake 0.011199
[764/5000][200/535][78664] Loss_D: -0.023018 Loss_G: -0.002776 Loss_D_real: -0.018183 Loss_D_fake 0.004835
[764/5000][205/535][78665] Loss_D: -0.022330 Loss_G: -0.001268 Loss_D_real: -0.002376 Loss_D_fake 0.019954
[764/5000][210/535][78666] Loss_D: -0.022503 Loss_G: 0.026564 Loss_D_real: -0.029606 Loss_D_fake -0.007103
[764/5000][215/535][78667] Loss_D: -0.023233 Loss_G: -0.003000 Loss_D_real: -0.017640 Loss_D_fake 0.005593
[764/5000][220/535][78668] Loss_D: -0.023763 Loss_G: 0.009756 Loss_D_real: -0.028911 Loss_D_fake -0.005148
[764/5000][225/535][78669] Loss_D: -0.023993 Loss_G: 0.025077 Loss_D_real: -0.035256 Loss_D_fake -0.011263
[764/5000][230/535][78670] Loss_D: -0.024083 Loss_G: 0.015932 Loss_D_real: -0.015296 Loss_D_fake 0.008787
[764/5000][235/535][78671] Loss_D: -0.023925 Loss_G: 0.020951 Loss_D_real: -0.025166 Loss_D_fake -0.001241
[764/5000][240/535][78672] Loss_D: -0.024118 Loss_G: 0.017646 Loss_D_real: -0.023536 Loss_D_fake 0.000583
[764/5000][245/535][78673] Loss_D: -0.023635 Loss_G: 0.003987 Loss_D_real: -0.019084 Loss_D_fake 0.004552
[764/5000][250/535][78674] Loss_D: -0.022213 Loss_G: 0.026212 Loss_D_real: -0.027776 Loss_D_fake -0.005564
[764/5000][255/535][78675] Loss_D: -0.023171 Loss_G: -0.009173 Loss_D_real: -0.005285 Loss_D_fake 0.017887
[764/5000][260/535][78676] Loss_D: -0.022819 Loss_G: 0.003370 Loss_D_real: -0.019864 Loss_D_fake 0.002955
[764/5000][265/535][78677] Loss_D: -0.023309 Loss_G: 0.013015 Loss_D_real: -0.027480 Loss_D_fake -0.004171
[764/5000][270/535][78678] Loss_D: -0.022899 Loss_G: 0.014052 Loss_D_real: -0.025193 Loss_D_fake -0.002293
[764/5000][275/535][78679] Loss_D: -0.024393 Loss_G: 0.010736 Loss_D_real: -0.022165 Loss_D_fake 0.002228
[764/5000][280/535][78680] Loss_D: -0.024273 Loss_G: 0.020999 Loss_D_real: -0.018834 Loss_D_fake 0.005439
[764/5000][285/535][78681] Loss_D: -0.024241 Loss_G: 0.011941 Loss_D_real: -0.020154 Loss_D_fake 0.004087
[764/5000][290/535][78682] Loss_D: -0.023162 Loss_G: 0.027591 Loss_D_real: -0.029474 Loss_D_fake -0.006313
[764/5000][295/535][78683] Loss_D: -0.023776 Loss_G: 0.011435 Loss_D_real: -0.016907 Loss_D_fake 0.006869
[764/5000][300/535][78684] Loss_D: -0.023638 Loss_G: 0.014838 Loss_D_real: -0.017320 Loss_D_fake 0.006318
[764/5000][305/535][78685] Loss_D: -0.023570 Loss_G: -0.006343 Loss_D_real: -0.009263 Loss_D_fake 0.014306
[764/5000][310/535][78686] Loss_D: -0.024622 Loss_G: 0.002681 Loss_D_real: -0.015665 Loss_D_fake 0.008957
[764/5000][315/535][78687] Loss_D: -0.024246 Loss_G: 0.002868 Loss_D_real: -0.010198 Loss_D_fake 0.014049
[764/5000][320/535][78688] Loss_D: -0.023284 Loss_G: 0.010218 Loss_D_real: -0.010246 Loss_D_fake 0.013038
[764/5000][325/535][78689] Loss_D: -0.023014 Loss_G: 0.011142 Loss_D_real: -0.033690 Loss_D_fake -0.010676
[764/5000][330/535][78690] Loss_D: -0.022944 Loss_G: 0.009209 Loss_D_real: -0.012461 Loss_D_fake 0.010482
[764/5000][335/535][78691] Loss_D: -0.023631 Loss_G: 0.032137 Loss_D_real: -0.029491 Loss_D_fake -0.005860
[764/5000][340/535][78692] Loss_D: -0.023202 Loss_G: 0.006182 Loss_D_real: -0.022294 Loss_D_fake 0.000908
[764/5000][345/535][78693] Loss_D: -0.023348 Loss_G: 0.001805 Loss_D_real: -0.015145 Loss_D_fake 0.008203
[764/5000][350/535][78694] Loss_D: -0.022857 Loss_G: 0.001812 Loss_D_real: -0.018495 Loss_D_fake 0.004362
[764/5000][355/535][78695] Loss_D: -0.021908 Loss_G: 0.029157 Loss_D_real: -0.022822 Loss_D_fake -0.000914
[764/5000][360/535][78696] Loss_D: -0.021874 Loss_G: -0.012505 Loss_D_real: -0.003651 Loss_D_fake 0.018223
[764/5000][365/535][78697] Loss_D: -0.023129 Loss_G: 0.014500 Loss_D_real: -0.029838 Loss_D_fake -0.006709
[764/5000][370/535][78698] Loss_D: -0.024103 Loss_G: 0.022139 Loss_D_real: -0.024805 Loss_D_fake -0.000702
[764/5000][375/535][78699] Loss_D: -0.024622 Loss_G: 0.020230 Loss_D_real: -0.025272 Loss_D_fake -0.000651
[764/5000][380/535][78700] Loss_D: -0.024873 Loss_G: -0.004439 Loss_D_real: -0.009553 Loss_D_fake 0.015320
[764/5000][385/535][78701] Loss_D: -0.024601 Loss_G: -0.009122 Loss_D_real: -0.009668 Loss_D_fake 0.014932
[764/5000][390/535][78702] Loss_D: -0.025416 Loss_G: 0.000684 Loss_D_real: -0.019663 Loss_D_fake 0.005753
[764/5000][395/535][78703] Loss_D: -0.024813 Loss_G: 0.034500 Loss_D_real: -0.029477 Loss_D_fake -0.004664
[764/5000][400/535][78704] Loss_D: -0.024174 Loss_G: 0.010326 Loss_D_real: -0.019472 Loss_D_fake 0.004702
[764/5000][405/535][78705] Loss_D: -0.025689 Loss_G: 0.004430 Loss_D_real: -0.016085 Loss_D_fake 0.009604
[764/5000][410/535][78706] Loss_D: -0.024846 Loss_G: -0.002734 Loss_D_real: -0.008475 Loss_D_fake 0.016371
[764/5000][415/535][78707] Loss_D: -0.024294 Loss_G: 0.002137 Loss_D_real: -0.007177 Loss_D_fake 0.017116
[764/5000][420/535][78708] Loss_D: -0.025002 Loss_G: 0.035716 Loss_D_real: -0.029470 Loss_D_fake -0.004468
[764/5000][425/535][78709] Loss_D: -0.025134 Loss_G: -0.003260 Loss_D_real: -0.005182 Loss_D_fake 0.019952
[764/5000][430/535][78710] Loss_D: -0.024853 Loss_G: 0.009784 Loss_D_real: -0.015578 Loss_D_fake 0.009275
[764/5000][435/535][78711] Loss_D: -0.024233 Loss_G: 0.000355 Loss_D_real: -0.012392 Loss_D_fake 0.011841
[764/5000][440/535][78712] Loss_D: -0.025566 Loss_G: 0.025545 Loss_D_real: -0.027097 Loss_D_fake -0.001531
[764/5000][445/535][78713] Loss_D: -0.024187 Loss_G: 0.017918 Loss_D_real: -0.027834 Loss_D_fake -0.003647
[764/5000][450/535][78714] Loss_D: -0.025042 Loss_G: 0.014677 Loss_D_real: -0.024259 Loss_D_fake 0.000783
[764/5000][455/535][78715] Loss_D: -0.024409 Loss_G: -0.009329 Loss_D_real: -0.016524 Loss_D_fake 0.007885
[764/5000][460/535][78716] Loss_D: -0.024575 Loss_G: 0.007663 Loss_D_real: -0.016055 Loss_D_fake 0.008519
[764/5000][465/535][78717] Loss_D: -0.024589 Loss_G: 0.011811 Loss_D_real: -0.017748 Loss_D_fake 0.006841
[764/5000][470/535][78718] Loss_D: -0.024307 Loss_G: -0.008750 Loss_D_real: -0.007377 Loss_D_fake 0.016929
[764/5000][475/535][78719] Loss_D: -0.023123 Loss_G: 0.005555 Loss_D_real: -0.027968 Loss_D_fake -0.004846
[764/5000][480/535][78720] Loss_D: -0.024421 Loss_G: 0.009855 Loss_D_real: -0.016638 Loss_D_fake 0.007784
[764/5000][485/535][78721] Loss_D: -0.024554 Loss_G: -0.010733 Loss_D_real: -0.006586 Loss_D_fake 0.017968
[764/5000][490/535][78722] Loss_D: -0.024379 Loss_G: 0.007226 Loss_D_real: -0.021752 Loss_D_fake 0.002627
[764/5000][495/535][78723] Loss_D: -0.023639 Loss_G: 0.000685 Loss_D_real: -0.007356 Loss_D_fake 0.016283
[764/5000][500/535][78724] Loss_D: -0.024679 Loss_G: 0.002335 Loss_D_real: -0.016057 Loss_D_fake 0.008622
[764/5000][505/535][78725] Loss_D: -0.023480 Loss_G: 0.007697 Loss_D_real: -0.018702 Loss_D_fake 0.004778
[764/5000][510/535][78726] Loss_D: -0.023778 Loss_G: 0.021316 Loss_D_real: -0.031420 Loss_D_fake -0.007641
[764/5000][515/535][78727] Loss_D: -0.024528 Loss_G: -0.004804 Loss_D_real: -0.014096 Loss_D_fake 0.010432
[764/5000][520/535][78728] Loss_D: -0.024962 Loss_G: -0.001853 Loss_D_real: -0.021347 Loss_D_fake 0.003614
[764/5000][525/535][78729] Loss_D: -0.024470 Loss_G: 0.016151 Loss_D_real: -0.016549 Loss_D_fake 0.007921
[764/5000][530/535][78730] Loss_D: -0.024633 Loss_G: -0.001083 Loss_D_real: -0.013849 Loss_D_fake 0.010784
[764/5000][535/535][78731] Loss_D: -0.024573 Loss_G: 0.012352 Loss_D_real: -0.024880 Loss_D_fake -0.000307
[765/5000][5/535][78732] Loss_D: -0.025605 Loss_G: 0.004926 Loss_D_real: -0.023134 Loss_D_fake 0.002471
[765/5000][10/535][78733] Loss_D: -0.023377 Loss_G: 0.024086 Loss_D_real: -0.032266 Loss_D_fake -0.008890
[765/5000][15/535][78734] Loss_D: -0.023975 Loss_G: 0.023062 Loss_D_real: -0.023565 Loss_D_fake 0.000410
[765/5000][20/535][78735] Loss_D: -0.024193 Loss_G: -0.000464 Loss_D_real: -0.011514 Loss_D_fake 0.012680
[765/5000][25/535][78736] Loss_D: -0.023522 Loss_G: 0.014686 Loss_D_real: -0.032659 Loss_D_fake -0.009138
[765/5000][30/535][78737] Loss_D: -0.022476 Loss_G: -0.007216 Loss_D_real: -0.002886 Loss_D_fake 0.019590
[765/5000][35/535][78738] Loss_D: -0.023487 Loss_G: 0.022843 Loss_D_real: -0.025717 Loss_D_fake -0.002230
[765/5000][40/535][78739] Loss_D: -0.023212 Loss_G: 0.011462 Loss_D_real: -0.022022 Loss_D_fake 0.001190
[765/5000][45/535][78740] Loss_D: -0.022172 Loss_G: 0.007290 Loss_D_real: -0.021774 Loss_D_fake 0.000398
[765/5000][50/535][78741] Loss_D: -0.022914 Loss_G: 0.022687 Loss_D_real: -0.035568 Loss_D_fake -0.012654
[765/5000][55/535][78742] Loss_D: -0.022505 Loss_G: -0.006761 Loss_D_real: -0.012528 Loss_D_fake 0.009977
[765/5000][60/535][78743] Loss_D: -0.022368 Loss_G: 0.027348 Loss_D_real: -0.030630 Loss_D_fake -0.008263
[765/5000][65/535][78744] Loss_D: -0.024376 Loss_G: 0.013512 Loss_D_real: -0.012454 Loss_D_fake 0.011922
[765/5000][70/535][78745] Loss_D: -0.022799 Loss_G: -0.002340 Loss_D_real: -0.013403 Loss_D_fake 0.009396
[765/5000][75/535][78746] Loss_D: -0.023477 Loss_G: 0.000753 Loss_D_real: -0.021061 Loss_D_fake 0.002415
[765/5000][80/535][78747] Loss_D: -0.023102 Loss_G: 0.000451 Loss_D_real: -0.013399 Loss_D_fake 0.009703
[765/5000][85/535][78748] Loss_D: -0.022765 Loss_G: 0.003287 Loss_D_real: -0.008204 Loss_D_fake 0.014561
[765/5000][90/535][78749] Loss_D: -0.023779 Loss_G: 0.020688 Loss_D_real: -0.027003 Loss_D_fake -0.003223
[765/5000][95/535][78750] Loss_D: -0.023868 Loss_G: 0.007959 Loss_D_real: -0.024208 Loss_D_fake -0.000340
[765/5000][100/535][78751] Loss_D: -0.023384 Loss_G: -0.009437 Loss_D_real: 0.002820 Loss_D_fake 0.026204
[765/5000][105/535][78752] Loss_D: -0.023720 Loss_G: 0.020603 Loss_D_real: -0.025557 Loss_D_fake -0.001837
[765/5000][110/535][78753] Loss_D: -0.023982 Loss_G: 0.007668 Loss_D_real: -0.018919 Loss_D_fake 0.005063
[765/5000][115/535][78754] Loss_D: -0.025676 Loss_G: 0.017939 Loss_D_real: -0.032305 Loss_D_fake -0.006628
[765/5000][120/535][78755] Loss_D: -0.024321 Loss_G: 0.031235 Loss_D_real: -0.031120 Loss_D_fake -0.006798
[765/5000][125/535][78756] Loss_D: -0.023995 Loss_G: 0.012044 Loss_D_real: -0.027878 Loss_D_fake -0.003883
[765/5000][130/535][78757] Loss_D: -0.022393 Loss_G: 0.023016 Loss_D_real: -0.032338 Loss_D_fake -0.009945
[765/5000][135/535][78758] Loss_D: -0.023971 Loss_G: 0.011193 Loss_D_real: -0.013894 Loss_D_fake 0.010077
[765/5000][140/535][78759] Loss_D: -0.023673 Loss_G: 0.001582 Loss_D_real: -0.007978 Loss_D_fake 0.015695
[765/5000][145/535][78760] Loss_D: -0.024012 Loss_G: 0.025025 Loss_D_real: -0.026104 Loss_D_fake -0.002092
[765/5000][150/535][78761] Loss_D: -0.023528 Loss_G: -0.011567 Loss_D_real: -0.007014 Loss_D_fake 0.016514
[765/5000][155/535][78762] Loss_D: -0.022948 Loss_G: 0.012543 Loss_D_real: -0.017259 Loss_D_fake 0.005690
[765/5000][160/535][78763] Loss_D: -0.022731 Loss_G: -0.006470 Loss_D_real: -0.002670 Loss_D_fake 0.020061
[765/5000][165/535][78764] Loss_D: -0.022666 Loss_G: 0.012838 Loss_D_real: -0.023991 Loss_D_fake -0.001325
[765/5000][170/535][78765] Loss_D: -0.023027 Loss_G: 0.005790 Loss_D_real: -0.013554 Loss_D_fake 0.009473
[765/5000][175/535][78766] Loss_D: -0.023494 Loss_G: 0.010959 Loss_D_real: -0.018864 Loss_D_fake 0.004630
[765/5000][180/535][78767] Loss_D: -0.024588 Loss_G: 0.013320 Loss_D_real: -0.027434 Loss_D_fake -0.002846
[765/5000][185/535][78768] Loss_D: -0.023888 Loss_G: 0.021655 Loss_D_real: -0.030549 Loss_D_fake -0.006661
[765/5000][190/535][78769] Loss_D: -0.024252 Loss_G: 0.004752 Loss_D_real: -0.010790 Loss_D_fake 0.013463
[765/5000][195/535][78770] Loss_D: -0.024641 Loss_G: 0.013973 Loss_D_real: -0.024040 Loss_D_fake 0.000601
[765/5000][200/535][78771] Loss_D: -0.024319 Loss_G: 0.005647 Loss_D_real: -0.024690 Loss_D_fake -0.000371
[765/5000][205/535][78772] Loss_D: -0.023356 Loss_G: -0.004912 Loss_D_real: -0.017670 Loss_D_fake 0.005686
[765/5000][210/535][78773] Loss_D: -0.023153 Loss_G: 0.009591 Loss_D_real: -0.017774 Loss_D_fake 0.005379
[765/5000][215/535][78774] Loss_D: -0.022809 Loss_G: 0.004123 Loss_D_real: -0.018091 Loss_D_fake 0.004718
[765/5000][220/535][78775] Loss_D: -0.023950 Loss_G: 0.002478 Loss_D_real: -0.016462 Loss_D_fake 0.007488
[765/5000][225/535][78776] Loss_D: -0.023255 Loss_G: 0.014576 Loss_D_real: -0.009391 Loss_D_fake 0.013865
[765/5000][230/535][78777] Loss_D: -0.022642 Loss_G: 0.024569 Loss_D_real: -0.030054 Loss_D_fake -0.007412
[765/5000][235/535][78778] Loss_D: -0.024556 Loss_G: 0.000079 Loss_D_real: -0.013712 Loss_D_fake 0.010844
[765/5000][240/535][78779] Loss_D: -0.023067 Loss_G: 0.010576 Loss_D_real: -0.020917 Loss_D_fake 0.002150
[765/5000][245/535][78780] Loss_D: -0.023337 Loss_G: 0.004318 Loss_D_real: -0.015171 Loss_D_fake 0.008166
[765/5000][250/535][78781] Loss_D: -0.023227 Loss_G: 0.000993 Loss_D_real: -0.014372 Loss_D_fake 0.008855
[765/5000][255/535][78782] Loss_D: -0.021644 Loss_G: 0.026888 Loss_D_real: -0.036444 Loss_D_fake -0.014800
[765/5000][260/535][78783] Loss_D: -0.023998 Loss_G: 0.011766 Loss_D_real: -0.016178 Loss_D_fake 0.007819
[765/5000][265/535][78784] Loss_D: -0.024069 Loss_G: -0.010705 Loss_D_real: -0.013126 Loss_D_fake 0.010943
[765/5000][270/535][78785] Loss_D: -0.025328 Loss_G: 0.012817 Loss_D_real: -0.018603 Loss_D_fake 0.006726
[765/5000][275/535][78786] Loss_D: -0.024186 Loss_G: 0.031050 Loss_D_real: -0.028396 Loss_D_fake -0.004210
[765/5000][280/535][78787] Loss_D: -0.024565 Loss_G: -0.000081 Loss_D_real: -0.019441 Loss_D_fake 0.005124
[765/5000][285/535][78788] Loss_D: -0.023911 Loss_G: 0.029665 Loss_D_real: -0.021032 Loss_D_fake 0.002879
[765/5000][290/535][78789] Loss_D: -0.023766 Loss_G: 0.021955 Loss_D_real: -0.022377 Loss_D_fake 0.001389
[765/5000][295/535][78790] Loss_D: -0.024238 Loss_G: 0.013378 Loss_D_real: -0.017167 Loss_D_fake 0.007071
[765/5000][300/535][78791] Loss_D: -0.023715 Loss_G: 0.002525 Loss_D_real: -0.019980 Loss_D_fake 0.003735
[765/5000][305/535][78792] Loss_D: -0.021655 Loss_G: 0.028989 Loss_D_real: -0.040240 Loss_D_fake -0.018585
[765/5000][310/535][78793] Loss_D: -0.024221 Loss_G: 0.003139 Loss_D_real: -0.015453 Loss_D_fake 0.008768
[765/5000][315/535][78794] Loss_D: -0.024304 Loss_G: 0.027138 Loss_D_real: -0.030479 Loss_D_fake -0.006175
[765/5000][320/535][78795] Loss_D: -0.024360 Loss_G: 0.003565 Loss_D_real: -0.012970 Loss_D_fake 0.011389
[765/5000][325/535][78796] Loss_D: -0.024148 Loss_G: -0.001983 Loss_D_real: -0.020321 Loss_D_fake 0.003827
[765/5000][330/535][78797] Loss_D: -0.023753 Loss_G: 0.033648 Loss_D_real: -0.031499 Loss_D_fake -0.007746
[765/5000][335/535][78798] Loss_D: -0.023257 Loss_G: 0.024974 Loss_D_real: -0.031168 Loss_D_fake -0.007911
[765/5000][340/535][78799] Loss_D: -0.024593 Loss_G: -0.004539 Loss_D_real: -0.007734 Loss_D_fake 0.016858
[765/5000][345/535][78800] Loss_D: -0.023631 Loss_G: 0.018227 Loss_D_real: -0.023584 Loss_D_fake 0.000047
[765/5000][350/535][78801] Loss_D: -0.024958 Loss_G: 0.010621 Loss_D_real: -0.020818 Loss_D_fake 0.004140
[765/5000][355/535][78802] Loss_D: -0.024717 Loss_G: 0.017905 Loss_D_real: -0.020190 Loss_D_fake 0.004527
[765/5000][360/535][78803] Loss_D: -0.024431 Loss_G: 0.004322 Loss_D_real: -0.012453 Loss_D_fake 0.011977
[765/5000][365/535][78804] Loss_D: -0.023732 Loss_G: 0.015575 Loss_D_real: -0.020140 Loss_D_fake 0.003592
[765/5000][370/535][78805] Loss_D: -0.024128 Loss_G: 0.017586 Loss_D_real: -0.020430 Loss_D_fake 0.003697
[765/5000][375/535][78806] Loss_D: -0.023386 Loss_G: 0.037306 Loss_D_real: -0.024424 Loss_D_fake -0.001038
[765/5000][380/535][78807] Loss_D: -0.024100 Loss_G: 0.019346 Loss_D_real: -0.030313 Loss_D_fake -0.006212
[765/5000][385/535][78808] Loss_D: -0.025294 Loss_G: 0.025706 Loss_D_real: -0.027259 Loss_D_fake -0.001964
[765/5000][390/535][78809] Loss_D: -0.024299 Loss_G: -0.006602 Loss_D_real: -0.014813 Loss_D_fake 0.009486
[765/5000][395/535][78810] Loss_D: -0.022641 Loss_G: 0.025571 Loss_D_real: -0.026497 Loss_D_fake -0.003856
[765/5000][400/535][78811] Loss_D: -0.023339 Loss_G: 0.001200 Loss_D_real: -0.013197 Loss_D_fake 0.010142
[765/5000][405/535][78812] Loss_D: -0.021986 Loss_G: 0.021643 Loss_D_real: -0.036420 Loss_D_fake -0.014434
[765/5000][410/535][78813] Loss_D: -0.022517 Loss_G: 0.010226 Loss_D_real: -0.026708 Loss_D_fake -0.004190
[765/5000][415/535][78814] Loss_D: -0.023778 Loss_G: 0.019816 Loss_D_real: -0.029482 Loss_D_fake -0.005705
[765/5000][420/535][78815] Loss_D: -0.023376 Loss_G: 0.006258 Loss_D_real: -0.021578 Loss_D_fake 0.001798
[765/5000][425/535][78816] Loss_D: -0.023959 Loss_G: 0.007467 Loss_D_real: -0.024475 Loss_D_fake -0.000516
[765/5000][430/535][78817] Loss_D: -0.024260 Loss_G: 0.035448 Loss_D_real: -0.028347 Loss_D_fake -0.004088
[765/5000][435/535][78818] Loss_D: -0.023592 Loss_G: 0.006637 Loss_D_real: -0.020474 Loss_D_fake 0.003117
[765/5000][440/535][78819] Loss_D: -0.022827 Loss_G: 0.014419 Loss_D_real: -0.020499 Loss_D_fake 0.002328
[765/5000][445/535][78820] Loss_D: -0.023872 Loss_G: 0.007626 Loss_D_real: -0.023297 Loss_D_fake 0.000575
[765/5000][450/535][78821] Loss_D: -0.022833 Loss_G: 0.020058 Loss_D_real: -0.028309 Loss_D_fake -0.005476
[765/5000][455/535][78822] Loss_D: -0.024231 Loss_G: 0.008732 Loss_D_real: -0.014817 Loss_D_fake 0.009413
[765/5000][460/535][78823] Loss_D: -0.023287 Loss_G: 0.023144 Loss_D_real: -0.033679 Loss_D_fake -0.010392
[765/5000][465/535][78824] Loss_D: -0.023067 Loss_G: -0.004339 Loss_D_real: -0.013596 Loss_D_fake 0.009471
[765/5000][470/535][78825] Loss_D: -0.025450 Loss_G: 0.007979 Loss_D_real: -0.022773 Loss_D_fake 0.002677
[765/5000][475/535][78826] Loss_D: -0.025614 Loss_G: 0.009585 Loss_D_real: -0.007756 Loss_D_fake 0.017859
[765/5000][480/535][78827] Loss_D: -0.025780 Loss_G: 0.012472 Loss_D_real: -0.022021 Loss_D_fake 0.003759
[765/5000][485/535][78828] Loss_D: -0.022954 Loss_G: -0.002072 Loss_D_real: -0.013969 Loss_D_fake 0.008985
[765/5000][490/535][78829] Loss_D: -0.024450 Loss_G: 0.014646 Loss_D_real: -0.021949 Loss_D_fake 0.002501
[765/5000][495/535][78830] Loss_D: -0.022392 Loss_G: 0.011982 Loss_D_real: -0.022002 Loss_D_fake 0.000389
[765/5000][500/535][78831] Loss_D: -0.023417 Loss_G: 0.012570 Loss_D_real: -0.023373 Loss_D_fake 0.000045
[765/5000][505/535][78832] Loss_D: -0.022906 Loss_G: 0.008581 Loss_D_real: -0.018019 Loss_D_fake 0.004887
[765/5000][510/535][78833] Loss_D: -0.022457 Loss_G: -0.022205 Loss_D_real: -0.004552 Loss_D_fake 0.017906
[765/5000][515/535][78834] Loss_D: -0.022446 Loss_G: 0.006346 Loss_D_real: -0.014626 Loss_D_fake 0.007820
[765/5000][520/535][78835] Loss_D: -0.022740 Loss_G: 0.028259 Loss_D_real: -0.034966 Loss_D_fake -0.012226
[765/5000][525/535][78836] Loss_D: -0.021853 Loss_G: 0.023244 Loss_D_real: -0.031591 Loss_D_fake -0.009739
[765/5000][530/535][78837] Loss_D: -0.024263 Loss_G: 0.017009 Loss_D_real: -0.024611 Loss_D_fake -0.000347
[765/5000][535/535][78838] Loss_D: -0.024119 Loss_G: 0.018131 Loss_D_real: -0.037759 Loss_D_fake -0.013640
[766/5000][5/535][78839] Loss_D: -0.023985 Loss_G: 0.022352 Loss_D_real: -0.025121 Loss_D_fake -0.001136
[766/5000][10/535][78840] Loss_D: -0.023537 Loss_G: 0.003790 Loss_D_real: -0.014341 Loss_D_fake 0.009196
[766/5000][15/535][78841] Loss_D: -0.024555 Loss_G: 0.007633 Loss_D_real: -0.013635 Loss_D_fake 0.010920
[766/5000][20/535][78842] Loss_D: -0.023767 Loss_G: 0.024398 Loss_D_real: -0.031696 Loss_D_fake -0.007929
[766/5000][25/535][78843] Loss_D: -0.023622 Loss_G: 0.007030 Loss_D_real: -0.014748 Loss_D_fake 0.008874
[766/5000][30/535][78844] Loss_D: -0.024118 Loss_G: 0.008823 Loss_D_real: -0.012068 Loss_D_fake 0.012051
[766/5000][35/535][78845] Loss_D: -0.024176 Loss_G: 0.013641 Loss_D_real: -0.024232 Loss_D_fake -0.000056
[766/5000][40/535][78846] Loss_D: -0.023461 Loss_G: -0.014125 Loss_D_real: -0.013928 Loss_D_fake 0.009534
[766/5000][45/535][78847] Loss_D: -0.023797 Loss_G: 0.024011 Loss_D_real: -0.031199 Loss_D_fake -0.007402
[766/5000][50/535][78848] Loss_D: -0.023598 Loss_G: -0.010313 Loss_D_real: -0.012504 Loss_D_fake 0.011095
[766/5000][55/535][78849] Loss_D: -0.025042 Loss_G: 0.010779 Loss_D_real: -0.019096 Loss_D_fake 0.005946
[766/5000][60/535][78850] Loss_D: -0.024393 Loss_G: -0.002183 Loss_D_real: 0.000819 Loss_D_fake 0.025212
[766/5000][65/535][78851] Loss_D: -0.024908 Loss_G: 0.012767 Loss_D_real: -0.021466 Loss_D_fake 0.003442
[766/5000][70/535][78852] Loss_D: -0.025592 Loss_G: 0.020086 Loss_D_real: -0.034051 Loss_D_fake -0.008459
[766/5000][75/535][78853] Loss_D: -0.025010 Loss_G: 0.005574 Loss_D_real: -0.013693 Loss_D_fake 0.011317
[766/5000][80/535][78854] Loss_D: -0.023956 Loss_G: 0.023207 Loss_D_real: -0.026542 Loss_D_fake -0.002586
[766/5000][85/535][78855] Loss_D: -0.024127 Loss_G: 0.010624 Loss_D_real: -0.025947 Loss_D_fake -0.001819
[766/5000][90/535][78856] Loss_D: -0.024009 Loss_G: 0.014845 Loss_D_real: -0.017107 Loss_D_fake 0.006902
[766/5000][95/535][78857] Loss_D: -0.023682 Loss_G: 0.003193 Loss_D_real: -0.010266 Loss_D_fake 0.013417
[766/5000][100/535][78858] Loss_D: -0.024839 Loss_G: 0.006463 Loss_D_real: -0.020617 Loss_D_fake 0.004222
[766/5000][105/535][78859] Loss_D: -0.024660 Loss_G: -0.000293 Loss_D_real: -0.008328 Loss_D_fake 0.016332
[766/5000][110/535][78860] Loss_D: -0.023478 Loss_G: 0.021029 Loss_D_real: -0.021145 Loss_D_fake 0.002333
[766/5000][115/535][78861] Loss_D: -0.025291 Loss_G: 0.020145 Loss_D_real: -0.012780 Loss_D_fake 0.012511
[766/5000][120/535][78862] Loss_D: -0.023224 Loss_G: 0.004628 Loss_D_real: -0.006739 Loss_D_fake 0.016485
[766/5000][125/535][78863] Loss_D: -0.021497 Loss_G: 0.024717 Loss_D_real: -0.033088 Loss_D_fake -0.011591
[766/5000][130/535][78864] Loss_D: -0.022181 Loss_G: -0.010420 Loss_D_real: 0.003398 Loss_D_fake 0.025579
[766/5000][135/535][78865] Loss_D: -0.022638 Loss_G: 0.011555 Loss_D_real: -0.026077 Loss_D_fake -0.003439
[766/5000][140/535][78866] Loss_D: -0.023730 Loss_G: -0.009337 Loss_D_real: -0.009146 Loss_D_fake 0.014584
[766/5000][145/535][78867] Loss_D: -0.023874 Loss_G: 0.019887 Loss_D_real: -0.020239 Loss_D_fake 0.003635
[766/5000][150/535][78868] Loss_D: -0.023886 Loss_G: 0.010255 Loss_D_real: -0.025893 Loss_D_fake -0.002007
[766/5000][155/535][78869] Loss_D: -0.024115 Loss_G: 0.016547 Loss_D_real: -0.024517 Loss_D_fake -0.000402
[766/5000][160/535][78870] Loss_D: -0.023731 Loss_G: 0.022032 Loss_D_real: -0.035537 Loss_D_fake -0.011807
[766/5000][165/535][78871] Loss_D: -0.025297 Loss_G: 0.028030 Loss_D_real: -0.027190 Loss_D_fake -0.001893
[766/5000][170/535][78872] Loss_D: -0.025066 Loss_G: -0.003959 Loss_D_real: -0.019446 Loss_D_fake 0.005620
[766/5000][175/535][78873] Loss_D: -0.024869 Loss_G: 0.008725 Loss_D_real: -0.013374 Loss_D_fake 0.011495
[766/5000][180/535][78874] Loss_D: -0.021662 Loss_G: -0.015190 Loss_D_real: -0.005973 Loss_D_fake 0.015689
[766/5000][185/535][78875] Loss_D: -0.024381 Loss_G: 0.002850 Loss_D_real: -0.014021 Loss_D_fake 0.010361
[766/5000][190/535][78876] Loss_D: -0.023152 Loss_G: 0.003711 Loss_D_real: -0.009718 Loss_D_fake 0.013434
[766/5000][195/535][78877] Loss_D: -0.022899 Loss_G: 0.018218 Loss_D_real: -0.020113 Loss_D_fake 0.002785
[766/5000][200/535][78878] Loss_D: -0.023879 Loss_G: -0.012042 Loss_D_real: -0.013399 Loss_D_fake 0.010480
[766/5000][205/535][78879] Loss_D: -0.023768 Loss_G: 0.011251 Loss_D_real: -0.023733 Loss_D_fake 0.000035
[766/5000][210/535][78880] Loss_D: -0.024400 Loss_G: -0.000948 Loss_D_real: -0.014537 Loss_D_fake 0.009863
[766/5000][215/535][78881] Loss_D: -0.024337 Loss_G: 0.001504 Loss_D_real: -0.003249 Loss_D_fake 0.021088
[766/5000][220/535][78882] Loss_D: -0.023066 Loss_G: 0.004738 Loss_D_real: -0.022323 Loss_D_fake 0.000743
[766/5000][225/535][78883] Loss_D: -0.024274 Loss_G: 0.000240 Loss_D_real: -0.003684 Loss_D_fake 0.020590
[766/5000][230/535][78884] Loss_D: -0.022338 Loss_G: 0.004186 Loss_D_real: -0.016270 Loss_D_fake 0.006068
[766/5000][235/535][78885] Loss_D: -0.023993 Loss_G: 0.025124 Loss_D_real: -0.015360 Loss_D_fake 0.008632
[766/5000][240/535][78886] Loss_D: -0.023270 Loss_G: 0.014920 Loss_D_real: -0.017800 Loss_D_fake 0.005470
[766/5000][245/535][78887] Loss_D: -0.022668 Loss_G: 0.008249 Loss_D_real: -0.018717 Loss_D_fake 0.003951
[766/5000][250/535][78888] Loss_D: -0.022617 Loss_G: 0.031919 Loss_D_real: -0.036269 Loss_D_fake -0.013652
[766/5000][255/535][78889] Loss_D: -0.023962 Loss_G: 0.013044 Loss_D_real: -0.018229 Loss_D_fake 0.005733
[766/5000][260/535][78890] Loss_D: -0.023460 Loss_G: 0.019143 Loss_D_real: -0.023908 Loss_D_fake -0.000448
[766/5000][265/535][78891] Loss_D: -0.023811 Loss_G: 0.006561 Loss_D_real: -0.020170 Loss_D_fake 0.003641
[766/5000][270/535][78892] Loss_D: -0.024322 Loss_G: 0.013298 Loss_D_real: -0.026608 Loss_D_fake -0.002286
[766/5000][275/535][78893] Loss_D: -0.023735 Loss_G: 0.015941 Loss_D_real: -0.028064 Loss_D_fake -0.004329
[766/5000][280/535][78894] Loss_D: -0.023921 Loss_G: 0.024771 Loss_D_real: -0.033960 Loss_D_fake -0.010038
[766/5000][285/535][78895] Loss_D: -0.025366 Loss_G: -0.000852 Loss_D_real: -0.015868 Loss_D_fake 0.009498
[766/5000][290/535][78896] Loss_D: -0.023363 Loss_G: 0.028267 Loss_D_real: -0.036635 Loss_D_fake -0.013273
[766/5000][295/535][78897] Loss_D: -0.022828 Loss_G: 0.004177 Loss_D_real: -0.001501 Loss_D_fake 0.021326
[766/5000][300/535][78898] Loss_D: -0.024568 Loss_G: 0.011399 Loss_D_real: -0.011091 Loss_D_fake 0.013478
[766/5000][305/535][78899] Loss_D: -0.022838 Loss_G: 0.024285 Loss_D_real: -0.031971 Loss_D_fake -0.009133
[766/5000][310/535][78900] Loss_D: -0.023890 Loss_G: 0.011434 Loss_D_real: -0.024607 Loss_D_fake -0.000717
[766/5000][315/535][78901] Loss_D: -0.024028 Loss_G: 0.003093 Loss_D_real: -0.017575 Loss_D_fake 0.006453
[766/5000][320/535][78902] Loss_D: -0.024547 Loss_G: 0.018255 Loss_D_real: -0.031595 Loss_D_fake -0.007048
[766/5000][325/535][78903] Loss_D: -0.025573 Loss_G: 0.019739 Loss_D_real: -0.024524 Loss_D_fake 0.001049
[766/5000][330/535][78904] Loss_D: -0.024592 Loss_G: 0.001808 Loss_D_real: -0.024386 Loss_D_fake 0.000206
[766/5000][335/535][78905] Loss_D: -0.025047 Loss_G: 0.012174 Loss_D_real: -0.028671 Loss_D_fake -0.003624
[766/5000][340/535][78906] Loss_D: -0.024612 Loss_G: 0.002396 Loss_D_real: -0.015705 Loss_D_fake 0.008908
[766/5000][345/535][78907] Loss_D: -0.023912 Loss_G: -0.003224 Loss_D_real: -0.003710 Loss_D_fake 0.020203
[766/5000][350/535][78908] Loss_D: -0.022379 Loss_G: 0.025810 Loss_D_real: -0.019459 Loss_D_fake 0.002920
[766/5000][355/535][78909] Loss_D: -0.023602 Loss_G: -0.016530 Loss_D_real: -0.007928 Loss_D_fake 0.015674
[766/5000][360/535][78910] Loss_D: -0.022405 Loss_G: -0.007371 Loss_D_real: -0.015373 Loss_D_fake 0.007032
[766/5000][365/535][78911] Loss_D: -0.024296 Loss_G: 0.005159 Loss_D_real: -0.021115 Loss_D_fake 0.003181
[766/5000][370/535][78912] Loss_D: -0.021664 Loss_G: 0.023713 Loss_D_real: -0.026497 Loss_D_fake -0.004833
[766/5000][375/535][78913] Loss_D: -0.024358 Loss_G: -0.010191 Loss_D_real: -0.012940 Loss_D_fake 0.011418
[766/5000][380/535][78914] Loss_D: -0.022569 Loss_G: 0.021832 Loss_D_real: -0.029716 Loss_D_fake -0.007147
[766/5000][385/535][78915] Loss_D: -0.024277 Loss_G: 0.015020 Loss_D_real: -0.016688 Loss_D_fake 0.007589
[766/5000][390/535][78916] Loss_D: -0.023160 Loss_G: 0.012904 Loss_D_real: -0.008640 Loss_D_fake 0.014520
[766/5000][395/535][78917] Loss_D: -0.024126 Loss_G: 0.010626 Loss_D_real: -0.018783 Loss_D_fake 0.005343
[766/5000][400/535][78918] Loss_D: -0.024744 Loss_G: 0.000958 Loss_D_real: -0.019663 Loss_D_fake 0.005080
[766/5000][405/535][78919] Loss_D: -0.023189 Loss_G: 0.014995 Loss_D_real: -0.024809 Loss_D_fake -0.001619
[766/5000][410/535][78920] Loss_D: -0.024860 Loss_G: 0.022747 Loss_D_real: -0.020767 Loss_D_fake 0.004093
[766/5000][415/535][78921] Loss_D: -0.024964 Loss_G: -0.010622 Loss_D_real: -0.017450 Loss_D_fake 0.007514
[766/5000][420/535][78922] Loss_D: -0.023308 Loss_G: -0.003684 Loss_D_real: -0.008026 Loss_D_fake 0.015281
[766/5000][425/535][78923] Loss_D: -0.023927 Loss_G: 0.003888 Loss_D_real: -0.012023 Loss_D_fake 0.011904
[766/5000][430/535][78924] Loss_D: -0.023754 Loss_G: 0.015976 Loss_D_real: -0.037204 Loss_D_fake -0.013450
[766/5000][435/535][78925] Loss_D: -0.024937 Loss_G: -0.002350 Loss_D_real: -0.007990 Loss_D_fake 0.016947
[766/5000][440/535][78926] Loss_D: -0.024583 Loss_G: 0.016633 Loss_D_real: -0.021946 Loss_D_fake 0.002637
[766/5000][445/535][78927] Loss_D: -0.024511 Loss_G: -0.004946 Loss_D_real: -0.000401 Loss_D_fake 0.024110
[766/5000][450/535][78928] Loss_D: -0.022970 Loss_G: 0.019190 Loss_D_real: -0.035410 Loss_D_fake -0.012440
[766/5000][455/535][78929] Loss_D: -0.024589 Loss_G: 0.006262 Loss_D_real: -0.009401 Loss_D_fake 0.015188
[766/5000][460/535][78930] Loss_D: -0.024202 Loss_G: 0.012273 Loss_D_real: -0.017530 Loss_D_fake 0.006672
[766/5000][465/535][78931] Loss_D: -0.023477 Loss_G: 0.010516 Loss_D_real: -0.021499 Loss_D_fake 0.001978
[766/5000][470/535][78932] Loss_D: -0.022797 Loss_G: 0.002285 Loss_D_real: -0.011997 Loss_D_fake 0.010800
[766/5000][475/535][78933] Loss_D: -0.022353 Loss_G: 0.022511 Loss_D_real: -0.014198 Loss_D_fake 0.008155
[766/5000][480/535][78934] Loss_D: -0.023087 Loss_G: 0.020431 Loss_D_real: -0.023420 Loss_D_fake -0.000333
[766/5000][485/535][78935] Loss_D: -0.022870 Loss_G: 0.002482 Loss_D_real: -0.017962 Loss_D_fake 0.004908
[766/5000][490/535][78936] Loss_D: -0.023522 Loss_G: 0.018984 Loss_D_real: -0.017488 Loss_D_fake 0.006034
[766/5000][495/535][78937] Loss_D: -0.024140 Loss_G: -0.008293 Loss_D_real: -0.007696 Loss_D_fake 0.016444
[766/5000][500/535][78938] Loss_D: -0.022971 Loss_G: 0.010933 Loss_D_real: -0.003378 Loss_D_fake 0.019593
[766/5000][505/535][78939] Loss_D: -0.021784 Loss_G: 0.018023 Loss_D_real: -0.014474 Loss_D_fake 0.007310
[766/5000][510/535][78940] Loss_D: -0.023931 Loss_G: 0.015612 Loss_D_real: -0.021438 Loss_D_fake 0.002492
[766/5000][515/535][78941] Loss_D: -0.023461 Loss_G: 0.006837 Loss_D_real: -0.016913 Loss_D_fake 0.006548
[766/5000][520/535][78942] Loss_D: -0.023668 Loss_G: -0.006500 Loss_D_real: -0.003400 Loss_D_fake 0.020268
[766/5000][525/535][78943] Loss_D: -0.024021 Loss_G: 0.019461 Loss_D_real: -0.031410 Loss_D_fake -0.007389
[766/5000][530/535][78944] Loss_D: -0.023781 Loss_G: 0.025295 Loss_D_real: -0.030535 Loss_D_fake -0.006754
[766/5000][535/535][78945] Loss_D: -0.024566 Loss_G: -0.025161 Loss_D_real: 0.001807 Loss_D_fake 0.026373
[767/5000][5/535][78946] Loss_D: -0.023807 Loss_G: 0.014099 Loss_D_real: -0.024659 Loss_D_fake -0.000851
[767/5000][10/535][78947] Loss_D: -0.024351 Loss_G: -0.004492 Loss_D_real: -0.010035 Loss_D_fake 0.014316
[767/5000][15/535][78948] Loss_D: -0.024419 Loss_G: -0.001853 Loss_D_real: -0.010989 Loss_D_fake 0.013431
[767/5000][20/535][78949] Loss_D: -0.023429 Loss_G: 0.023670 Loss_D_real: -0.030440 Loss_D_fake -0.007011
[767/5000][25/535][78950] Loss_D: -0.023679 Loss_G: 0.010732 Loss_D_real: -0.020945 Loss_D_fake 0.002734
[767/5000][30/535][78951] Loss_D: -0.024366 Loss_G: 0.015531 Loss_D_real: -0.022294 Loss_D_fake 0.002072
[767/5000][35/535][78952] Loss_D: -0.023785 Loss_G: 0.017838 Loss_D_real: -0.033381 Loss_D_fake -0.009595
[767/5000][40/535][78953] Loss_D: -0.023689 Loss_G: 0.012184 Loss_D_real: -0.016740 Loss_D_fake 0.006949
[767/5000][45/535][78954] Loss_D: -0.023466 Loss_G: 0.015345 Loss_D_real: -0.023178 Loss_D_fake 0.000288
[767/5000][50/535][78955] Loss_D: -0.023238 Loss_G: -0.001966 Loss_D_real: -0.009126 Loss_D_fake 0.014112
[767/5000][55/535][78956] Loss_D: -0.023938 Loss_G: 0.023722 Loss_D_real: -0.034882 Loss_D_fake -0.010944
[767/5000][60/535][78957] Loss_D: -0.023133 Loss_G: -0.008183 Loss_D_real: -0.013610 Loss_D_fake 0.009523
[767/5000][65/535][78958] Loss_D: -0.022873 Loss_G: 0.016291 Loss_D_real: -0.031934 Loss_D_fake -0.009061
[767/5000][70/535][78959] Loss_D: -0.022170 Loss_G: -0.002652 Loss_D_real: -0.014610 Loss_D_fake 0.007559
[767/5000][75/535][78960] Loss_D: -0.024687 Loss_G: 0.019849 Loss_D_real: -0.018611 Loss_D_fake 0.006076
[767/5000][80/535][78961] Loss_D: -0.024999 Loss_G: 0.015108 Loss_D_real: -0.022430 Loss_D_fake 0.002569
[767/5000][85/535][78962] Loss_D: -0.024270 Loss_G: 0.002820 Loss_D_real: -0.015631 Loss_D_fake 0.008639
[767/5000][90/535][78963] Loss_D: -0.023642 Loss_G: 0.019031 Loss_D_real: -0.032175 Loss_D_fake -0.008533
[767/5000][95/535][78964] Loss_D: -0.025899 Loss_G: 0.016104 Loss_D_real: -0.016477 Loss_D_fake 0.009422
[767/5000][100/535][78965] Loss_D: -0.024672 Loss_G: -0.001332 Loss_D_real: -0.004110 Loss_D_fake 0.020563
[767/5000][105/535][78966] Loss_D: -0.024353 Loss_G: 0.020509 Loss_D_real: -0.024635 Loss_D_fake -0.000281
[767/5000][110/535][78967] Loss_D: -0.023991 Loss_G: 0.000171 Loss_D_real: -0.005680 Loss_D_fake 0.018311
[767/5000][115/535][78968] Loss_D: -0.024231 Loss_G: 0.007043 Loss_D_real: -0.023142 Loss_D_fake 0.001089
[767/5000][120/535][78969] Loss_D: -0.023962 Loss_G: 0.005743 Loss_D_real: -0.018041 Loss_D_fake 0.005921
[767/5000][125/535][78970] Loss_D: -0.024321 Loss_G: -0.000288 Loss_D_real: -0.014496 Loss_D_fake 0.009825
[767/5000][130/535][78971] Loss_D: -0.023225 Loss_G: 0.010944 Loss_D_real: -0.027062 Loss_D_fake -0.003836
[767/5000][135/535][78972] Loss_D: -0.023534 Loss_G: -0.006665 Loss_D_real: -0.009978 Loss_D_fake 0.013556
[767/5000][140/535][78973] Loss_D: -0.023910 Loss_G: 0.009944 Loss_D_real: -0.016427 Loss_D_fake 0.007483
[767/5000][145/535][78974] Loss_D: -0.023793 Loss_G: 0.007263 Loss_D_real: -0.022485 Loss_D_fake 0.001308
[767/5000][150/535][78975] Loss_D: -0.023622 Loss_G: 0.017567 Loss_D_real: -0.023059 Loss_D_fake 0.000563
[767/5000][155/535][78976] Loss_D: -0.024722 Loss_G: 0.005442 Loss_D_real: -0.016505 Loss_D_fake 0.008217
[767/5000][160/535][78977] Loss_D: -0.024299 Loss_G: 0.022217 Loss_D_real: -0.020251 Loss_D_fake 0.004047
[767/5000][165/535][78978] Loss_D: -0.023240 Loss_G: 0.018618 Loss_D_real: -0.026421 Loss_D_fake -0.003181
[767/5000][170/535][78979] Loss_D: -0.023550 Loss_G: 0.001540 Loss_D_real: -0.020772 Loss_D_fake 0.002779
[767/5000][175/535][78980] Loss_D: -0.024006 Loss_G: 0.004968 Loss_D_real: -0.025533 Loss_D_fake -0.001527
[767/5000][180/535][78981] Loss_D: -0.024479 Loss_G: 0.022053 Loss_D_real: -0.025021 Loss_D_fake -0.000542
[767/5000][185/535][78982] Loss_D: -0.023191 Loss_G: 0.019203 Loss_D_real: -0.040334 Loss_D_fake -0.017143
[767/5000][190/535][78983] Loss_D: -0.024255 Loss_G: 0.026109 Loss_D_real: -0.027765 Loss_D_fake -0.003510
[767/5000][195/535][78984] Loss_D: -0.024633 Loss_G: -0.000968 Loss_D_real: -0.015404 Loss_D_fake 0.009229
[767/5000][200/535][78985] Loss_D: -0.023271 Loss_G: 0.020939 Loss_D_real: -0.030585 Loss_D_fake -0.007314
[767/5000][205/535][78986] Loss_D: -0.022611 Loss_G: 0.017972 Loss_D_real: -0.020555 Loss_D_fake 0.002056
[767/5000][210/535][78987] Loss_D: -0.023255 Loss_G: 0.018238 Loss_D_real: -0.026447 Loss_D_fake -0.003192
[767/5000][215/535][78988] Loss_D: -0.024883 Loss_G: -0.004505 Loss_D_real: -0.014229 Loss_D_fake 0.010654
[767/5000][220/535][78989] Loss_D: -0.021740 Loss_G: 0.030042 Loss_D_real: -0.031072 Loss_D_fake -0.009332
[767/5000][225/535][78990] Loss_D: -0.024009 Loss_G: 0.026925 Loss_D_real: -0.021788 Loss_D_fake 0.002221
[767/5000][230/535][78991] Loss_D: -0.023618 Loss_G: -0.015244 Loss_D_real: -0.000551 Loss_D_fake 0.023067
[767/5000][235/535][78992] Loss_D: -0.023155 Loss_G: 0.007034 Loss_D_real: -0.012612 Loss_D_fake 0.010543
[767/5000][240/535][78993] Loss_D: -0.024814 Loss_G: 0.011609 Loss_D_real: -0.032136 Loss_D_fake -0.007322
[767/5000][245/535][78994] Loss_D: -0.024604 Loss_G: 0.010136 Loss_D_real: -0.013890 Loss_D_fake 0.010714
[767/5000][250/535][78995] Loss_D: -0.024728 Loss_G: 0.000102 Loss_D_real: 0.001213 Loss_D_fake 0.025941
[767/5000][255/535][78996] Loss_D: -0.023120 Loss_G: 0.009887 Loss_D_real: -0.028604 Loss_D_fake -0.005485
[767/5000][260/535][78997] Loss_D: -0.023212 Loss_G: 0.018680 Loss_D_real: -0.027909 Loss_D_fake -0.004698
[767/5000][265/535][78998] Loss_D: -0.023220 Loss_G: 0.031589 Loss_D_real: -0.031418 Loss_D_fake -0.008198
[767/5000][270/535][78999] Loss_D: -0.023448 Loss_G: -0.002793 Loss_D_real: -0.011345 Loss_D_fake 0.012104
[767/5000][275/535][79000] Loss_D: -0.024052 Loss_G: -0.000594 Loss_D_real: -0.022320 Loss_D_fake 0.001732
[767/5000][375/535][79001] Loss_D: -0.027655 Loss_G: -0.006229 Loss_D_real: -0.015778 Loss_D_fake 0.011877
[767/5000][380/535][79002] Loss_D: -0.024503 Loss_G: 0.015014 Loss_D_real: -0.014463 Loss_D_fake 0.010040
[767/5000][385/535][79003] Loss_D: -0.021499 Loss_G: 0.010195 Loss_D_real: -0.011653 Loss_D_fake 0.009846
[767/5000][390/535][79004] Loss_D: -0.022680 Loss_G: 0.003343 Loss_D_real: -0.021699 Loss_D_fake 0.000981
[767/5000][395/535][79005] Loss_D: -0.021313 Loss_G: 0.023697 Loss_D_real: -0.025711 Loss_D_fake -0.004398
[767/5000][400/535][79006] Loss_D: -0.021657 Loss_G: 0.014680 Loss_D_real: -0.019988 Loss_D_fake 0.001669
[767/5000][405/535][79007] Loss_D: -0.023169 Loss_G: 0.007476 Loss_D_real: -0.016103 Loss_D_fake 0.007065
[767/5000][410/535][79008] Loss_D: -0.023260 Loss_G: 0.027501 Loss_D_real: -0.028416 Loss_D_fake -0.005156
[767/5000][415/535][79009] Loss_D: -0.022972 Loss_G: 0.005574 Loss_D_real: -0.017498 Loss_D_fake 0.005474
[767/5000][420/535][79010] Loss_D: -0.022937 Loss_G: 0.014621 Loss_D_real: -0.017301 Loss_D_fake 0.005636
[767/5000][425/535][79011] Loss_D: -0.024113 Loss_G: -0.004256 Loss_D_real: -0.010368 Loss_D_fake 0.013745
[767/5000][430/535][79012] Loss_D: -0.022278 Loss_G: 0.025319 Loss_D_real: -0.036887 Loss_D_fake -0.014609
[767/5000][435/535][79013] Loss_D: -0.023348 Loss_G: 0.022343 Loss_D_real: -0.025301 Loss_D_fake -0.001953
[767/5000][440/535][79014] Loss_D: -0.021748 Loss_G: -0.009089 Loss_D_real: -0.007171 Loss_D_fake 0.014576
[767/5000][445/535][79015] Loss_D: -0.022384 Loss_G: 0.014365 Loss_D_real: -0.017714 Loss_D_fake 0.004670
[767/5000][450/535][79016] Loss_D: -0.021847 Loss_G: 0.005214 Loss_D_real: -0.013088 Loss_D_fake 0.008760
[767/5000][455/535][79017] Loss_D: -0.022809 Loss_G: 0.021502 Loss_D_real: -0.023440 Loss_D_fake -0.000632
[767/5000][460/535][79018] Loss_D: -0.023133 Loss_G: 0.021902 Loss_D_real: -0.026766 Loss_D_fake -0.003632
[767/5000][465/535][79019] Loss_D: -0.023687 Loss_G: 0.012284 Loss_D_real: -0.024100 Loss_D_fake -0.000414
[767/5000][470/535][79020] Loss_D: -0.022955 Loss_G: 0.029681 Loss_D_real: -0.027370 Loss_D_fake -0.004415
[767/5000][475/535][79021] Loss_D: -0.023161 Loss_G: 0.007605 Loss_D_real: -0.019289 Loss_D_fake 0.003873
[767/5000][480/535][79022] Loss_D: -0.022950 Loss_G: 0.012976 Loss_D_real: -0.019579 Loss_D_fake 0.003371
[767/5000][485/535][79023] Loss_D: -0.024236 Loss_G: -0.004933 Loss_D_real: -0.009292 Loss_D_fake 0.014943
[767/5000][490/535][79024] Loss_D: -0.022809 Loss_G: 0.000712 Loss_D_real: -0.016761 Loss_D_fake 0.006048
[767/5000][495/535][79025] Loss_D: -0.022909 Loss_G: 0.005850 Loss_D_real: -0.017087 Loss_D_fake 0.005821
[767/5000][500/535][79026] Loss_D: -0.022003 Loss_G: 0.026309 Loss_D_real: -0.022056 Loss_D_fake -0.000053
[767/5000][505/535][79027] Loss_D: -0.023001 Loss_G: -0.017710 Loss_D_real: -0.001064 Loss_D_fake 0.021937
[767/5000][510/535][79028] Loss_D: -0.024364 Loss_G: 0.009820 Loss_D_real: -0.021658 Loss_D_fake 0.002706
[767/5000][515/535][79029] Loss_D: -0.023201 Loss_G: 0.010837 Loss_D_real: -0.025931 Loss_D_fake -0.002729
[767/5000][520/535][79030] Loss_D: -0.024061 Loss_G: 0.005600 Loss_D_real: -0.016471 Loss_D_fake 0.007591
[767/5000][525/535][79031] Loss_D: -0.021805 Loss_G: 0.007221 Loss_D_real: -0.023227 Loss_D_fake -0.001422
[767/5000][530/535][79032] Loss_D: -0.023950 Loss_G: 0.016130 Loss_D_real: -0.030792 Loss_D_fake -0.006842
[767/5000][535/535][79033] Loss_D: -0.024441 Loss_G: 0.005379 Loss_D_real: -0.023475 Loss_D_fake 0.000966
[768/5000][5/535][79034] Loss_D: -0.024814 Loss_G: -0.002749 Loss_D_real: -0.015008 Loss_D_fake 0.009806
[768/5000][10/535][79035] Loss_D: -0.022948 Loss_G: 0.015799 Loss_D_real: -0.026068 Loss_D_fake -0.003120
[768/5000][15/535][79036] Loss_D: -0.025490 Loss_G: -0.005119 Loss_D_real: 0.005022 Loss_D_fake 0.030511
[768/5000][20/535][79037] Loss_D: -0.024897 Loss_G: 0.000086 Loss_D_real: -0.011982 Loss_D_fake 0.012915
[768/5000][25/535][79038] Loss_D: -0.023754 Loss_G: 0.016727 Loss_D_real: -0.029792 Loss_D_fake -0.006037
[768/5000][30/535][79039] Loss_D: -0.025857 Loss_G: 0.024294 Loss_D_real: -0.016367 Loss_D_fake 0.009491
[768/5000][35/535][79040] Loss_D: -0.024472 Loss_G: 0.001706 Loss_D_real: -0.015934 Loss_D_fake 0.008538
[768/5000][40/535][79041] Loss_D: -0.024368 Loss_G: -0.006043 Loss_D_real: -0.006522 Loss_D_fake 0.017846
[768/5000][45/535][79042] Loss_D: -0.023909 Loss_G: 0.005824 Loss_D_real: -0.021279 Loss_D_fake 0.002630
[768/5000][50/535][79043] Loss_D: -0.024160 Loss_G: -0.006729 Loss_D_real: -0.015931 Loss_D_fake 0.008228
[768/5000][55/535][79044] Loss_D: -0.022886 Loss_G: 0.016320 Loss_D_real: -0.019019 Loss_D_fake 0.003867
[768/5000][60/535][79045] Loss_D: -0.023177 Loss_G: 0.025573 Loss_D_real: -0.027904 Loss_D_fake -0.004726
[768/5000][65/535][79046] Loss_D: -0.023972 Loss_G: 0.008945 Loss_D_real: -0.021417 Loss_D_fake 0.002555
[768/5000][70/535][79047] Loss_D: -0.023938 Loss_G: 0.030280 Loss_D_real: -0.036263 Loss_D_fake -0.012325
[768/5000][75/535][79048] Loss_D: -0.024709 Loss_G: -0.010153 Loss_D_real: -0.012883 Loss_D_fake 0.011826
[768/5000][80/535][79049] Loss_D: -0.024157 Loss_G: -0.006583 Loss_D_real: -0.013308 Loss_D_fake 0.010849
[768/5000][85/535][79050] Loss_D: -0.024442 Loss_G: 0.018441 Loss_D_real: -0.015400 Loss_D_fake 0.009042
[768/5000][90/535][79051] Loss_D: -0.023424 Loss_G: 0.016232 Loss_D_real: -0.026461 Loss_D_fake -0.003037
[768/5000][95/535][79052] Loss_D: -0.022036 Loss_G: -0.011246 Loss_D_real: -0.001046 Loss_D_fake 0.020989
[768/5000][100/535][79053] Loss_D: -0.023667 Loss_G: 0.019472 Loss_D_real: -0.026317 Loss_D_fake -0.002649
[768/5000][105/535][79054] Loss_D: -0.023907 Loss_G: -0.011738 Loss_D_real: -0.009564 Loss_D_fake 0.014343
[768/5000][110/535][79055] Loss_D: -0.023067 Loss_G: 0.006428 Loss_D_real: -0.019027 Loss_D_fake 0.004040
[768/5000][115/535][79056] Loss_D: -0.024002 Loss_G: 0.014440 Loss_D_real: -0.025376 Loss_D_fake -0.001375
[768/5000][120/535][79057] Loss_D: -0.023151 Loss_G: -0.005386 Loss_D_real: -0.007633 Loss_D_fake 0.015519
[768/5000][125/535][79058] Loss_D: -0.024195 Loss_G: 0.009559 Loss_D_real: -0.014099 Loss_D_fake 0.010096
[768/5000][130/535][79059] Loss_D: -0.023111 Loss_G: 0.002267 Loss_D_real: -0.021073 Loss_D_fake 0.002038
[768/5000][135/535][79060] Loss_D: -0.022793 Loss_G: 0.000903 Loss_D_real: -0.013700 Loss_D_fake 0.009093
[768/5000][140/535][79061] Loss_D: -0.022381 Loss_G: 0.009848 Loss_D_real: -0.015270 Loss_D_fake 0.007111
[768/5000][145/535][79062] Loss_D: -0.023216 Loss_G: 0.013265 Loss_D_real: -0.023702 Loss_D_fake -0.000486
[768/5000][150/535][79063] Loss_D: -0.023375 Loss_G: -0.000820 Loss_D_real: -0.014436 Loss_D_fake 0.008939
[768/5000][155/535][79064] Loss_D: -0.024231 Loss_G: 0.001158 Loss_D_real: -0.015709 Loss_D_fake 0.008522
[768/5000][160/535][79065] Loss_D: -0.021893 Loss_G: 0.022183 Loss_D_real: -0.026775 Loss_D_fake -0.004883
[768/5000][165/535][79066] Loss_D: -0.024172 Loss_G: 0.012196 Loss_D_real: -0.017544 Loss_D_fake 0.006628
[768/5000][170/535][79067] Loss_D: -0.022657 Loss_G: -0.001140 Loss_D_real: -0.005941 Loss_D_fake 0.016716
[768/5000][175/535][79068] Loss_D: -0.022486 Loss_G: 0.001033 Loss_D_real: -0.015740 Loss_D_fake 0.006746
[768/5000][180/535][79069] Loss_D: -0.021048 Loss_G: -0.014588 Loss_D_real: -0.006757 Loss_D_fake 0.014291
[768/5000][185/535][79070] Loss_D: -0.024269 Loss_G: 0.024654 Loss_D_real: -0.018479 Loss_D_fake 0.005790
[768/5000][190/535][79071] Loss_D: -0.025241 Loss_G: 0.011320 Loss_D_real: -0.023688 Loss_D_fake 0.001554
[768/5000][195/535][79072] Loss_D: -0.025221 Loss_G: -0.006847 Loss_D_real: -0.011610 Loss_D_fake 0.013611
[768/5000][200/535][79073] Loss_D: -0.024102 Loss_G: 0.017830 Loss_D_real: -0.027743 Loss_D_fake -0.003642
[768/5000][205/535][79074] Loss_D: -0.026081 Loss_G: 0.009885 Loss_D_real: -0.018271 Loss_D_fake 0.007810
[768/5000][210/535][79075] Loss_D: -0.025380 Loss_G: 0.016858 Loss_D_real: -0.020021 Loss_D_fake 0.005360
[768/5000][215/535][79076] Loss_D: -0.025765 Loss_G: 0.002136 Loss_D_real: -0.005329 Loss_D_fake 0.020436
[768/5000][220/535][79077] Loss_D: -0.024983 Loss_G: 0.031031 Loss_D_real: -0.023690 Loss_D_fake 0.001293
[768/5000][225/535][79078] Loss_D: -0.023850 Loss_G: -0.013795 Loss_D_real: -0.008224 Loss_D_fake 0.015626
[768/5000][230/535][79079] Loss_D: -0.023864 Loss_G: 0.016075 Loss_D_real: -0.020323 Loss_D_fake 0.003542
[768/5000][235/535][79080] Loss_D: -0.022641 Loss_G: 0.015701 Loss_D_real: -0.028805 Loss_D_fake -0.006164
[768/5000][240/535][79081] Loss_D: -0.023172 Loss_G: 0.015487 Loss_D_real: -0.017293 Loss_D_fake 0.005879
[768/5000][245/535][79082] Loss_D: -0.022745 Loss_G: 0.023408 Loss_D_real: -0.038248 Loss_D_fake -0.015503
[768/5000][250/535][79083] Loss_D: -0.024540 Loss_G: 0.011277 Loss_D_real: -0.023977 Loss_D_fake 0.000563
[768/5000][255/535][79084] Loss_D: -0.023360 Loss_G: 0.006039 Loss_D_real: -0.020950 Loss_D_fake 0.002410
[768/5000][260/535][79085] Loss_D: -0.024288 Loss_G: -0.007340 Loss_D_real: -0.010875 Loss_D_fake 0.013414
[768/5000][265/535][79086] Loss_D: -0.022603 Loss_G: 0.023930 Loss_D_real: -0.034192 Loss_D_fake -0.011589
[768/5000][270/535][79087] Loss_D: -0.023942 Loss_G: -0.003213 Loss_D_real: -0.006701 Loss_D_fake 0.017241
[768/5000][275/535][79088] Loss_D: -0.023957 Loss_G: 0.000224 Loss_D_real: -0.011286 Loss_D_fake 0.012671
[768/5000][280/535][79089] Loss_D: -0.024156 Loss_G: 0.007666 Loss_D_real: -0.014115 Loss_D_fake 0.010041
[768/5000][285/535][79090] Loss_D: -0.024504 Loss_G: -0.002937 Loss_D_real: -0.016028 Loss_D_fake 0.008476
[768/5000][290/535][79091] Loss_D: -0.024785 Loss_G: 0.022312 Loss_D_real: -0.031172 Loss_D_fake -0.006388
[768/5000][295/535][79092] Loss_D: -0.021817 Loss_G: 0.020042 Loss_D_real: -0.039202 Loss_D_fake -0.017385
[768/5000][300/535][79093] Loss_D: -0.022140 Loss_G: -0.013961 Loss_D_real: 0.000317 Loss_D_fake 0.022456
[768/5000][305/535][79094] Loss_D: -0.023006 Loss_G: 0.011969 Loss_D_real: -0.022932 Loss_D_fake 0.000074
[768/5000][310/535][79095] Loss_D: -0.024720 Loss_G: -0.004295 Loss_D_real: -0.009115 Loss_D_fake 0.015604
[768/5000][315/535][79096] Loss_D: -0.023316 Loss_G: 0.013296 Loss_D_real: -0.017747 Loss_D_fake 0.005569
[768/5000][320/535][79097] Loss_D: -0.024055 Loss_G: -0.011610 Loss_D_real: -0.010176 Loss_D_fake 0.013879
[768/5000][325/535][79098] Loss_D: -0.022099 Loss_G: 0.014705 Loss_D_real: -0.031307 Loss_D_fake -0.009208
[768/5000][330/535][79099] Loss_D: -0.022884 Loss_G: 0.004992 Loss_D_real: -0.008717 Loss_D_fake 0.014166
[768/5000][335/535][79100] Loss_D: -0.024157 Loss_G: 0.016547 Loss_D_real: -0.017828 Loss_D_fake 0.006328
[768/5000][340/535][79101] Loss_D: -0.023298 Loss_G: 0.025762 Loss_D_real: -0.027504 Loss_D_fake -0.004206
[768/5000][345/535][79102] Loss_D: -0.022700 Loss_G: 0.004189 Loss_D_real: -0.012360 Loss_D_fake 0.010339
[768/5000][350/535][79103] Loss_D: -0.022444 Loss_G: 0.030265 Loss_D_real: -0.038404 Loss_D_fake -0.015960
[768/5000][355/535][79104] Loss_D: -0.023775 Loss_G: 0.006665 Loss_D_real: -0.013434 Loss_D_fake 0.010341
[768/5000][360/535][79105] Loss_D: -0.024063 Loss_G: -0.003072 Loss_D_real: -0.020388 Loss_D_fake 0.003674
[768/5000][365/535][79106] Loss_D: -0.022958 Loss_G: 0.010536 Loss_D_real: -0.006238 Loss_D_fake 0.016720
[768/5000][370/535][79107] Loss_D: -0.022959 Loss_G: -0.009445 Loss_D_real: -0.003328 Loss_D_fake 0.019631
[768/5000][375/535][79108] Loss_D: -0.022199 Loss_G: 0.009051 Loss_D_real: -0.015530 Loss_D_fake 0.006669
[768/5000][380/535][79109] Loss_D: -0.023160 Loss_G: 0.004605 Loss_D_real: -0.023503 Loss_D_fake -0.000343
[768/5000][385/535][79110] Loss_D: -0.023146 Loss_G: 0.007897 Loss_D_real: -0.027152 Loss_D_fake -0.004006
[768/5000][390/535][79111] Loss_D: -0.023698 Loss_G: 0.005525 Loss_D_real: -0.022891 Loss_D_fake 0.000807
[768/5000][395/535][79112] Loss_D: -0.024329 Loss_G: -0.005848 Loss_D_real: -0.011276 Loss_D_fake 0.013053
[768/5000][400/535][79113] Loss_D: -0.023498 Loss_G: -0.009840 Loss_D_real: 0.001494 Loss_D_fake 0.024992
[768/5000][405/535][79114] Loss_D: -0.025387 Loss_G: 0.011914 Loss_D_real: -0.026465 Loss_D_fake -0.001078
[768/5000][410/535][79115] Loss_D: -0.024452 Loss_G: 0.004526 Loss_D_real: -0.006385 Loss_D_fake 0.018066
[768/5000][415/535][79116] Loss_D: -0.025122 Loss_G: 0.008097 Loss_D_real: -0.017094 Loss_D_fake 0.008028
[768/5000][420/535][79117] Loss_D: -0.025327 Loss_G: 0.017485 Loss_D_real: -0.021155 Loss_D_fake 0.004172
[768/5000][425/535][79118] Loss_D: -0.024343 Loss_G: -0.001511 Loss_D_real: -0.011561 Loss_D_fake 0.012783
[768/5000][430/535][79119] Loss_D: -0.024091 Loss_G: 0.021774 Loss_D_real: -0.020603 Loss_D_fake 0.003488
[768/5000][435/535][79120] Loss_D: -0.022656 Loss_G: 0.001061 Loss_D_real: -0.008658 Loss_D_fake 0.013998
[768/5000][440/535][79121] Loss_D: -0.023442 Loss_G: 0.010016 Loss_D_real: -0.004482 Loss_D_fake 0.018959
[768/5000][445/535][79122] Loss_D: -0.024216 Loss_G: 0.011476 Loss_D_real: -0.028808 Loss_D_fake -0.004593
[768/5000][450/535][79123] Loss_D: -0.025322 Loss_G: 0.011159 Loss_D_real: -0.025385 Loss_D_fake -0.000063
[768/5000][455/535][79124] Loss_D: -0.024032 Loss_G: 0.025702 Loss_D_real: -0.034963 Loss_D_fake -0.010930
[768/5000][460/535][79125] Loss_D: -0.023989 Loss_G: -0.005060 Loss_D_real: -0.005739 Loss_D_fake 0.018250
[768/5000][465/535][79126] Loss_D: -0.024892 Loss_G: 0.015652 Loss_D_real: -0.020949 Loss_D_fake 0.003942
[768/5000][470/535][79127] Loss_D: -0.024659 Loss_G: 0.004529 Loss_D_real: -0.027959 Loss_D_fake -0.003301
[768/5000][475/535][79128] Loss_D: -0.023771 Loss_G: -0.002001 Loss_D_real: -0.010015 Loss_D_fake 0.013756
[768/5000][480/535][79129] Loss_D: -0.024414 Loss_G: 0.018941 Loss_D_real: -0.027339 Loss_D_fake -0.002925
[768/5000][485/535][79130] Loss_D: -0.025548 Loss_G: 0.013339 Loss_D_real: -0.022749 Loss_D_fake 0.002799
[768/5000][490/535][79131] Loss_D: -0.024717 Loss_G: 0.018031 Loss_D_real: -0.012748 Loss_D_fake 0.011969
[768/5000][495/535][79132] Loss_D: -0.023654 Loss_G: -0.000723 Loss_D_real: -0.009984 Loss_D_fake 0.013669
[768/5000][500/535][79133] Loss_D: -0.023806 Loss_G: 0.017321 Loss_D_real: -0.024038 Loss_D_fake -0.000232
[768/5000][505/535][79134] Loss_D: -0.023232 Loss_G: 0.001803 Loss_D_real: -0.007784 Loss_D_fake 0.015448
[768/5000][510/535][79135] Loss_D: -0.024202 Loss_G: 0.000387 Loss_D_real: -0.012904 Loss_D_fake 0.011299
[768/5000][515/535][79136] Loss_D: -0.024336 Loss_G: 0.005922 Loss_D_real: -0.018196 Loss_D_fake 0.006140
[768/5000][520/535][79137] Loss_D: -0.023447 Loss_G: 0.014747 Loss_D_real: -0.030983 Loss_D_fake -0.007535
[768/5000][525/535][79138] Loss_D: -0.022718 Loss_G: 0.021266 Loss_D_real: -0.038815 Loss_D_fake -0.016096
[768/5000][530/535][79139] Loss_D: -0.023518 Loss_G: 0.015580 Loss_D_real: -0.025838 Loss_D_fake -0.002320
[768/5000][535/535][79140] Loss_D: -0.023419 Loss_G: 0.002501 Loss_D_real: -0.021996 Loss_D_fake 0.001423
[769/5000][5/535][79141] Loss_D: -0.023763 Loss_G: -0.023061 Loss_D_real: -0.008690 Loss_D_fake 0.015073
[769/5000][10/535][79142] Loss_D: -0.023406 Loss_G: 0.005359 Loss_D_real: -0.014838 Loss_D_fake 0.008568
[769/5000][15/535][79143] Loss_D: -0.023783 Loss_G: 0.014621 Loss_D_real: -0.020261 Loss_D_fake 0.003522
[769/5000][20/535][79144] Loss_D: -0.024344 Loss_G: 0.006883 Loss_D_real: -0.017637 Loss_D_fake 0.006707
[769/5000][25/535][79145] Loss_D: -0.023296 Loss_G: 0.011898 Loss_D_real: -0.019516 Loss_D_fake 0.003779
[769/5000][30/535][79146] Loss_D: -0.022162 Loss_G: 0.012346 Loss_D_real: -0.021630 Loss_D_fake 0.000532
[769/5000][35/535][79147] Loss_D: -0.023760 Loss_G: 0.007053 Loss_D_real: -0.016551 Loss_D_fake 0.007209
[769/5000][40/535][79148] Loss_D: -0.024255 Loss_G: 0.010723 Loss_D_real: -0.022807 Loss_D_fake 0.001447
[769/5000][45/535][79149] Loss_D: -0.024753 Loss_G: -0.001238 Loss_D_real: -0.017711 Loss_D_fake 0.007042
[769/5000][50/535][79150] Loss_D: -0.022640 Loss_G: 0.009783 Loss_D_real: -0.029573 Loss_D_fake -0.006933
[769/5000][55/535][79151] Loss_D: -0.023526 Loss_G: 0.016815 Loss_D_real: -0.028311 Loss_D_fake -0.004785
[769/5000][60/535][79152] Loss_D: -0.024535 Loss_G: 0.004841 Loss_D_real: -0.007275 Loss_D_fake 0.017260
[769/5000][65/535][79153] Loss_D: -0.023842 Loss_G: 0.009922 Loss_D_real: -0.023798 Loss_D_fake 0.000044
[769/5000][70/535][79154] Loss_D: -0.022924 Loss_G: 0.026831 Loss_D_real: -0.030249 Loss_D_fake -0.007326
[769/5000][75/535][79155] Loss_D: -0.023195 Loss_G: 0.006135 Loss_D_real: -0.028768 Loss_D_fake -0.005574
[769/5000][80/535][79156] Loss_D: -0.025414 Loss_G: 0.013870 Loss_D_real: -0.021783 Loss_D_fake 0.003631
[769/5000][85/535][79157] Loss_D: -0.023201 Loss_G: 0.002740 Loss_D_real: -0.029647 Loss_D_fake -0.006446
[769/5000][90/535][79158] Loss_D: -0.024809 Loss_G: 0.019627 Loss_D_real: -0.014651 Loss_D_fake 0.010158
[769/5000][95/535][79159] Loss_D: -0.024112 Loss_G: 0.006424 Loss_D_real: -0.014035 Loss_D_fake 0.010077
[769/5000][100/535][79160] Loss_D: -0.023296 Loss_G: 0.026112 Loss_D_real: -0.031511 Loss_D_fake -0.008215
[769/5000][105/535][79161] Loss_D: -0.024907 Loss_G: -0.003288 Loss_D_real: -0.005881 Loss_D_fake 0.019026
[769/5000][110/535][79162] Loss_D: -0.024802 Loss_G: 0.007205 Loss_D_real: -0.014820 Loss_D_fake 0.009983
[769/5000][115/535][79163] Loss_D: -0.024083 Loss_G: 0.016843 Loss_D_real: -0.022658 Loss_D_fake 0.001425
[769/5000][120/535][79164] Loss_D: -0.024224 Loss_G: -0.004274 Loss_D_real: -0.004276 Loss_D_fake 0.019948
[769/5000][125/535][79165] Loss_D: -0.023456 Loss_G: 0.025767 Loss_D_real: -0.030684 Loss_D_fake -0.007228
[769/5000][130/535][79166] Loss_D: -0.024235 Loss_G: 0.001228 Loss_D_real: -0.008983 Loss_D_fake 0.015252
[769/5000][135/535][79167] Loss_D: -0.024813 Loss_G: 0.017607 Loss_D_real: -0.020061 Loss_D_fake 0.004752
[769/5000][140/535][79168] Loss_D: -0.024296 Loss_G: -0.011658 Loss_D_real: -0.001490 Loss_D_fake 0.022805
[769/5000][145/535][79169] Loss_D: -0.021777 Loss_G: 0.028084 Loss_D_real: -0.033751 Loss_D_fake -0.011974
[769/5000][150/535][79170] Loss_D: -0.022540 Loss_G: 0.001595 Loss_D_real: -0.012124 Loss_D_fake 0.010415
[769/5000][155/535][79171] Loss_D: -0.023731 Loss_G: 0.002119 Loss_D_real: -0.013806 Loss_D_fake 0.009925
[769/5000][160/535][79172] Loss_D: -0.023127 Loss_G: -0.006511 Loss_D_real: -0.013646 Loss_D_fake 0.009481
[769/5000][165/535][79173] Loss_D: -0.024645 Loss_G: -0.004887 Loss_D_real: -0.016797 Loss_D_fake 0.007847
[769/5000][170/535][79174] Loss_D: -0.024157 Loss_G: -0.010343 Loss_D_real: -0.013801 Loss_D_fake 0.010356
[769/5000][175/535][79175] Loss_D: -0.023761 Loss_G: -0.011911 Loss_D_real: -0.011347 Loss_D_fake 0.012414
[769/5000][180/535][79176] Loss_D: -0.023646 Loss_G: 0.028105 Loss_D_real: -0.037923 Loss_D_fake -0.014277
[769/5000][185/535][79177] Loss_D: -0.022719 Loss_G: 0.007688 Loss_D_real: -0.024843 Loss_D_fake -0.002124
[769/5000][190/535][79178] Loss_D: -0.024251 Loss_G: 0.003822 Loss_D_real: -0.005135 Loss_D_fake 0.019116
[769/5000][195/535][79179] Loss_D: -0.025244 Loss_G: 0.017025 Loss_D_real: -0.018297 Loss_D_fake 0.006946
[769/5000][200/535][79180] Loss_D: -0.023810 Loss_G: -0.004733 Loss_D_real: -0.007447 Loss_D_fake 0.016362
[769/5000][205/535][79181] Loss_D: -0.023381 Loss_G: 0.019265 Loss_D_real: -0.030228 Loss_D_fake -0.006847
[769/5000][210/535][79182] Loss_D: -0.024520 Loss_G: 0.010895 Loss_D_real: -0.013337 Loss_D_fake 0.011183
[769/5000][215/535][79183] Loss_D: -0.025334 Loss_G: 0.011125 Loss_D_real: -0.027180 Loss_D_fake -0.001846
[769/5000][220/535][79184] Loss_D: -0.024737 Loss_G: 0.000938 Loss_D_real: -0.011639 Loss_D_fake 0.013098
[769/5000][225/535][79185] Loss_D: -0.024124 Loss_G: -0.016020 Loss_D_real: -0.013381 Loss_D_fake 0.010743
[769/5000][230/535][79186] Loss_D: -0.024801 Loss_G: 0.015652 Loss_D_real: -0.021189 Loss_D_fake 0.003612
[769/5000][235/535][79187] Loss_D: -0.023965 Loss_G: 0.031704 Loss_D_real: -0.027316 Loss_D_fake -0.003350
[769/5000][240/535][79188] Loss_D: -0.022588 Loss_G: 0.030847 Loss_D_real: -0.030059 Loss_D_fake -0.007471
[769/5000][245/535][79189] Loss_D: -0.024532 Loss_G: 0.009787 Loss_D_real: -0.014439 Loss_D_fake 0.010094
[769/5000][250/535][79190] Loss_D: -0.024852 Loss_G: -0.002528 Loss_D_real: -0.008456 Loss_D_fake 0.016396
[769/5000][255/535][79191] Loss_D: -0.023302 Loss_G: 0.005660 Loss_D_real: -0.016307 Loss_D_fake 0.006995
[769/5000][260/535][79192] Loss_D: -0.023578 Loss_G: -0.000638 Loss_D_real: -0.012180 Loss_D_fake 0.011397
[769/5000][265/535][79193] Loss_D: -0.024492 Loss_G: 0.001068 Loss_D_real: -0.017206 Loss_D_fake 0.007286
[769/5000][270/535][79194] Loss_D: -0.024239 Loss_G: 0.019791 Loss_D_real: -0.027894 Loss_D_fake -0.003655
[769/5000][275/535][79195] Loss_D: -0.023825 Loss_G: 0.008844 Loss_D_real: -0.025042 Loss_D_fake -0.001217
[769/5000][280/535][79196] Loss_D: -0.023614 Loss_G: 0.010189 Loss_D_real: -0.028434 Loss_D_fake -0.004819
[769/5000][285/535][79197] Loss_D: -0.021856 Loss_G: 0.016858 Loss_D_real: -0.023958 Loss_D_fake -0.002103
[769/5000][290/535][79198] Loss_D: -0.022091 Loss_G: 0.024362 Loss_D_real: -0.038325 Loss_D_fake -0.016234
[769/5000][295/535][79199] Loss_D: -0.023663 Loss_G: 0.012820 Loss_D_real: -0.013129 Loss_D_fake 0.010533
[769/5000][300/535][79200] Loss_D: -0.023473 Loss_G: -0.009069 Loss_D_real: -0.005445 Loss_D_fake 0.018028
[769/5000][305/535][79201] Loss_D: -0.021223 Loss_G: 0.017650 Loss_D_real: -0.028057 Loss_D_fake -0.006834
[769/5000][310/535][79202] Loss_D: -0.023677 Loss_G: 0.016345 Loss_D_real: -0.018470 Loss_D_fake 0.005207
[769/5000][315/535][79203] Loss_D: -0.025110 Loss_G: 0.024804 Loss_D_real: -0.014493 Loss_D_fake 0.010617
[769/5000][320/535][79204] Loss_D: -0.024831 Loss_G: 0.013195 Loss_D_real: -0.023014 Loss_D_fake 0.001817
[769/5000][325/535][79205] Loss_D: -0.023582 Loss_G: 0.022909 Loss_D_real: -0.030007 Loss_D_fake -0.006425
[769/5000][330/535][79206] Loss_D: -0.024879 Loss_G: -0.008598 Loss_D_real: -0.011169 Loss_D_fake 0.013710
[769/5000][335/535][79207] Loss_D: -0.024046 Loss_G: 0.025986 Loss_D_real: -0.025931 Loss_D_fake -0.001885
[769/5000][340/535][79208] Loss_D: -0.023601 Loss_G: 0.012494 Loss_D_real: -0.036360 Loss_D_fake -0.012759
[769/5000][345/535][79209] Loss_D: -0.025159 Loss_G: -0.010690 Loss_D_real: -0.010485 Loss_D_fake 0.014674
[769/5000][350/535][79210] Loss_D: -0.023266 Loss_G: 0.026774 Loss_D_real: -0.038948 Loss_D_fake -0.015682
[769/5000][355/535][79211] Loss_D: -0.022760 Loss_G: 0.022644 Loss_D_real: -0.031567 Loss_D_fake -0.008807
[769/5000][360/535][79212] Loss_D: -0.024010 Loss_G: -0.005962 Loss_D_real: -0.017815 Loss_D_fake 0.006195
[769/5000][365/535][79213] Loss_D: -0.024954 Loss_G: 0.007652 Loss_D_real: -0.017295 Loss_D_fake 0.007659
[769/5000][370/535][79214] Loss_D: -0.022192 Loss_G: 0.033867 Loss_D_real: -0.029347 Loss_D_fake -0.007155
[769/5000][375/535][79215] Loss_D: -0.024976 Loss_G: 0.006614 Loss_D_real: -0.021240 Loss_D_fake 0.003736
[769/5000][380/535][79216] Loss_D: -0.024457 Loss_G: 0.029844 Loss_D_real: -0.027901 Loss_D_fake -0.003444
[769/5000][385/535][79217] Loss_D: -0.024866 Loss_G: 0.009635 Loss_D_real: -0.019581 Loss_D_fake 0.005285
[769/5000][390/535][79218] Loss_D: -0.023165 Loss_G: -0.008183 Loss_D_real: -0.013012 Loss_D_fake 0.010153
[769/5000][395/535][79219] Loss_D: -0.023481 Loss_G: -0.011160 Loss_D_real: -0.003869 Loss_D_fake 0.019612
[769/5000][400/535][79220] Loss_D: -0.024575 Loss_G: 0.020569 Loss_D_real: -0.032831 Loss_D_fake -0.008256
[769/5000][405/535][79221] Loss_D: -0.023789 Loss_G: 0.019650 Loss_D_real: -0.032467 Loss_D_fake -0.008678
[769/5000][410/535][79222] Loss_D: -0.022604 Loss_G: 0.014692 Loss_D_real: -0.030833 Loss_D_fake -0.008229
[769/5000][415/535][79223] Loss_D: -0.023999 Loss_G: 0.011586 Loss_D_real: -0.029765 Loss_D_fake -0.005767
[769/5000][420/535][79224] Loss_D: -0.024244 Loss_G: 0.004361 Loss_D_real: -0.016095 Loss_D_fake 0.008149
[769/5000][425/535][79225] Loss_D: -0.023743 Loss_G: 0.015699 Loss_D_real: -0.020756 Loss_D_fake 0.002986
[769/5000][430/535][79226] Loss_D: -0.021579 Loss_G: -0.005760 Loss_D_real: -0.001736 Loss_D_fake 0.019843
[769/5000][435/535][79227] Loss_D: -0.023339 Loss_G: 0.029590 Loss_D_real: -0.026202 Loss_D_fake -0.002863
[769/5000][440/535][79228] Loss_D: -0.022580 Loss_G: 0.002465 Loss_D_real: -0.014720 Loss_D_fake 0.007861
[769/5000][445/535][79229] Loss_D: -0.024791 Loss_G: 0.022964 Loss_D_real: -0.028591 Loss_D_fake -0.003800
[769/5000][450/535][79230] Loss_D: -0.023517 Loss_G: 0.009361 Loss_D_real: -0.017992 Loss_D_fake 0.005525
[769/5000][455/535][79231] Loss_D: -0.024609 Loss_G: -0.002669 Loss_D_real: -0.011787 Loss_D_fake 0.012822
[769/5000][460/535][79232] Loss_D: -0.023616 Loss_G: 0.008959 Loss_D_real: -0.013538 Loss_D_fake 0.010078
[769/5000][465/535][79233] Loss_D: -0.024014 Loss_G: 0.021619 Loss_D_real: -0.027065 Loss_D_fake -0.003050
[769/5000][470/535][79234] Loss_D: -0.024376 Loss_G: -0.004052 Loss_D_real: -0.003546 Loss_D_fake 0.020830
[769/5000][475/535][79235] Loss_D: -0.023225 Loss_G: 0.009691 Loss_D_real: -0.023271 Loss_D_fake -0.000046
[769/5000][480/535][79236] Loss_D: -0.023426 Loss_G: 0.018864 Loss_D_real: -0.029943 Loss_D_fake -0.006517
[769/5000][485/535][79237] Loss_D: -0.023994 Loss_G: 0.020838 Loss_D_real: -0.026565 Loss_D_fake -0.002571
[769/5000][490/535][79238] Loss_D: -0.023096 Loss_G: -0.012381 Loss_D_real: -0.016265 Loss_D_fake 0.006831
[769/5000][495/535][79239] Loss_D: -0.023710 Loss_G: 0.009187 Loss_D_real: -0.029186 Loss_D_fake -0.005476
[769/5000][500/535][79240] Loss_D: -0.025170 Loss_G: 0.011230 Loss_D_real: -0.020651 Loss_D_fake 0.004519
[769/5000][505/535][79241] Loss_D: -0.024338 Loss_G: 0.009216 Loss_D_real: -0.012802 Loss_D_fake 0.011535
[769/5000][510/535][79242] Loss_D: -0.024589 Loss_G: 0.007642 Loss_D_real: -0.008869 Loss_D_fake 0.015720
[769/5000][515/535][79243] Loss_D: -0.024083 Loss_G: -0.008341 Loss_D_real: -0.013179 Loss_D_fake 0.010903
[769/5000][520/535][79244] Loss_D: -0.023489 Loss_G: 0.013601 Loss_D_real: -0.034015 Loss_D_fake -0.010526
[769/5000][525/535][79245] Loss_D: -0.025539 Loss_G: 0.008742 Loss_D_real: -0.013024 Loss_D_fake 0.012515
[769/5000][530/535][79246] Loss_D: -0.025861 Loss_G: 0.026796 Loss_D_real: -0.023631 Loss_D_fake 0.002230
[769/5000][535/535][79247] Loss_D: -0.023014 Loss_G: 0.014793 Loss_D_real: -0.008675 Loss_D_fake 0.014340
[770/5000][5/535][79248] Loss_D: -0.023356 Loss_G: -0.014497 Loss_D_real: -0.010632 Loss_D_fake 0.012724
[770/5000][10/535][79249] Loss_D: -0.024095 Loss_G: 0.024697 Loss_D_real: -0.020546 Loss_D_fake 0.003549
[770/5000][15/535][79250] Loss_D: -0.022632 Loss_G: -0.005650 Loss_D_real: 0.004778 Loss_D_fake 0.027410
[770/5000][20/535][79251] Loss_D: -0.024148 Loss_G: 0.007466 Loss_D_real: -0.014977 Loss_D_fake 0.009172
[770/5000][25/535][79252] Loss_D: -0.023552 Loss_G: 0.016865 Loss_D_real: -0.027325 Loss_D_fake -0.003773
[770/5000][30/535][79253] Loss_D: -0.023210 Loss_G: 0.029068 Loss_D_real: -0.028274 Loss_D_fake -0.005064
[770/5000][35/535][79254] Loss_D: -0.023147 Loss_G: -0.006409 Loss_D_real: -0.005935 Loss_D_fake 0.017212
[770/5000][40/535][79255] Loss_D: -0.023998 Loss_G: 0.018244 Loss_D_real: -0.023814 Loss_D_fake 0.000184
[770/5000][45/535][79256] Loss_D: -0.023570 Loss_G: 0.013719 Loss_D_real: -0.021455 Loss_D_fake 0.002116
[770/5000][50/535][79257] Loss_D: -0.023831 Loss_G: -0.001373 Loss_D_real: -0.019168 Loss_D_fake 0.004664
[770/5000][55/535][79258] Loss_D: -0.023863 Loss_G: 0.018112 Loss_D_real: -0.023955 Loss_D_fake -0.000092
[770/5000][60/535][79259] Loss_D: -0.023113 Loss_G: -0.022662 Loss_D_real: 0.005357 Loss_D_fake 0.028470
[770/5000][65/535][79260] Loss_D: -0.024243 Loss_G: 0.011674 Loss_D_real: -0.020504 Loss_D_fake 0.003739
[770/5000][70/535][79261] Loss_D: -0.022891 Loss_G: 0.012796 Loss_D_real: -0.018160 Loss_D_fake 0.004731
[770/5000][75/535][79262] Loss_D: -0.023251 Loss_G: 0.015532 Loss_D_real: -0.026112 Loss_D_fake -0.002861
[770/5000][80/535][79263] Loss_D: -0.023106 Loss_G: 0.009835 Loss_D_real: -0.026273 Loss_D_fake -0.003166
[770/5000][85/535][79264] Loss_D: -0.023477 Loss_G: 0.013946 Loss_D_real: -0.021531 Loss_D_fake 0.001946
[770/5000][90/535][79265] Loss_D: -0.024095 Loss_G: 0.006783 Loss_D_real: -0.023638 Loss_D_fake 0.000457
[770/5000][95/535][79266] Loss_D: -0.024129 Loss_G: 0.018002 Loss_D_real: -0.025246 Loss_D_fake -0.001117
[770/5000][100/535][79267] Loss_D: -0.024257 Loss_G: 0.012143 Loss_D_real: -0.018242 Loss_D_fake 0.006015
[770/5000][105/535][79268] Loss_D: -0.024289 Loss_G: 0.004415 Loss_D_real: -0.018102 Loss_D_fake 0.006187
[770/5000][110/535][79269] Loss_D: -0.024617 Loss_G: -0.000005 Loss_D_real: -0.002595 Loss_D_fake 0.022022
[770/5000][115/535][79270] Loss_D: -0.024052 Loss_G: 0.009109 Loss_D_real: -0.015177 Loss_D_fake 0.008875
[770/5000][120/535][79271] Loss_D: -0.023704 Loss_G: 0.023569 Loss_D_real: -0.029625 Loss_D_fake -0.005921
[770/5000][125/535][79272] Loss_D: -0.023117 Loss_G: -0.000528 Loss_D_real: -0.010527 Loss_D_fake 0.012590
[770/5000][130/535][79273] Loss_D: -0.022489 Loss_G: 0.018000 Loss_D_real: -0.020886 Loss_D_fake 0.001603
[770/5000][135/535][79274] Loss_D: -0.021843 Loss_G: -0.010799 Loss_D_real: -0.009345 Loss_D_fake 0.012498
[770/5000][140/535][79275] Loss_D: -0.021741 Loss_G: 0.024224 Loss_D_real: -0.027066 Loss_D_fake -0.005325
[770/5000][145/535][79276] Loss_D: -0.023480 Loss_G: 0.014817 Loss_D_real: -0.025583 Loss_D_fake -0.002103
[770/5000][150/535][79277] Loss_D: -0.024561 Loss_G: 0.003129 Loss_D_real: -0.016262 Loss_D_fake 0.008299
[770/5000][155/535][79278] Loss_D: -0.023808 Loss_G: 0.025479 Loss_D_real: -0.032773 Loss_D_fake -0.008964
[770/5000][160/535][79279] Loss_D: -0.025295 Loss_G: 0.003844 Loss_D_real: -0.015147 Loss_D_fake 0.010149
[770/5000][165/535][79280] Loss_D: -0.023446 Loss_G: -0.005765 Loss_D_real: -0.016741 Loss_D_fake 0.006705
[770/5000][170/535][79281] Loss_D: -0.024179 Loss_G: 0.002707 Loss_D_real: -0.002616 Loss_D_fake 0.021564
[770/5000][175/535][79282] Loss_D: -0.024723 Loss_G: 0.013625 Loss_D_real: -0.018450 Loss_D_fake 0.006273
[770/5000][180/535][79283] Loss_D: -0.024870 Loss_G: 0.014028 Loss_D_real: -0.019653 Loss_D_fake 0.005217
[770/5000][185/535][79284] Loss_D: -0.024485 Loss_G: 0.015539 Loss_D_real: -0.016073 Loss_D_fake 0.008412
[770/5000][190/535][79285] Loss_D: -0.023419 Loss_G: -0.003411 Loss_D_real: -0.009764 Loss_D_fake 0.013655
[770/5000][195/535][79286] Loss_D: -0.023000 Loss_G: 0.012960 Loss_D_real: -0.021086 Loss_D_fake 0.001913
[770/5000][200/535][79287] Loss_D: -0.024463 Loss_G: 0.010993 Loss_D_real: -0.024444 Loss_D_fake 0.000019
[770/5000][205/535][79288] Loss_D: -0.023355 Loss_G: 0.016476 Loss_D_real: -0.029268 Loss_D_fake -0.005914
[770/5000][210/535][79289] Loss_D: -0.024327 Loss_G: -0.001578 Loss_D_real: -0.007020 Loss_D_fake 0.017307
[770/5000][215/535][79290] Loss_D: -0.023949 Loss_G: -0.001624 Loss_D_real: -0.009622 Loss_D_fake 0.014327
[770/5000][220/535][79291] Loss_D: -0.023275 Loss_G: 0.012859 Loss_D_real: -0.019142 Loss_D_fake 0.004133
[770/5000][225/535][79292] Loss_D: -0.022930 Loss_G: -0.007636 Loss_D_real: -0.009047 Loss_D_fake 0.013883
[770/5000][230/535][79293] Loss_D: -0.024810 Loss_G: 0.025565 Loss_D_real: -0.027850 Loss_D_fake -0.003040
[770/5000][235/535][79294] Loss_D: -0.023308 Loss_G: 0.000013 Loss_D_real: -0.014283 Loss_D_fake 0.009024
[770/5000][240/535][79295] Loss_D: -0.023410 Loss_G: 0.016574 Loss_D_real: -0.022070 Loss_D_fake 0.001340
[770/5000][245/535][79296] Loss_D: -0.024068 Loss_G: -0.007380 Loss_D_real: -0.006519 Loss_D_fake 0.017549
[770/5000][250/535][79297] Loss_D: -0.023799 Loss_G: 0.004441 Loss_D_real: -0.017700 Loss_D_fake 0.006099
[770/5000][255/535][79298] Loss_D: -0.025016 Loss_G: 0.007175 Loss_D_real: -0.026196 Loss_D_fake -0.001181
[770/5000][260/535][79299] Loss_D: -0.024420 Loss_G: -0.002665 Loss_D_real: -0.017094 Loss_D_fake 0.007326
[770/5000][265/535][79300] Loss_D: -0.023386 Loss_G: 0.011814 Loss_D_real: -0.018396 Loss_D_fake 0.004990
[770/5000][270/535][79301] Loss_D: -0.023137 Loss_G: 0.002506 Loss_D_real: -0.014818 Loss_D_fake 0.008319
[770/5000][275/535][79302] Loss_D: -0.022714 Loss_G: 0.025760 Loss_D_real: -0.011185 Loss_D_fake 0.011530
[770/5000][280/535][79303] Loss_D: -0.023886 Loss_G: -0.007175 Loss_D_real: -0.003783 Loss_D_fake 0.020102
[770/5000][285/535][79304] Loss_D: -0.022763 Loss_G: 0.010573 Loss_D_real: -0.020130 Loss_D_fake 0.002632
[770/5000][290/535][79305] Loss_D: -0.022906 Loss_G: 0.007152 Loss_D_real: -0.022414 Loss_D_fake 0.000492
[770/5000][295/535][79306] Loss_D: -0.023826 Loss_G: 0.022504 Loss_D_real: -0.023118 Loss_D_fake 0.000707
[770/5000][300/535][79307] Loss_D: -0.024096 Loss_G: -0.015041 Loss_D_real: -0.011762 Loss_D_fake 0.012334
[770/5000][305/535][79308] Loss_D: -0.023664 Loss_G: 0.011490 Loss_D_real: -0.022047 Loss_D_fake 0.001617
[770/5000][310/535][79309] Loss_D: -0.025090 Loss_G: 0.009952 Loss_D_real: -0.019019 Loss_D_fake 0.006071
[770/5000][315/535][79310] Loss_D: -0.022912 Loss_G: 0.026563 Loss_D_real: -0.028833 Loss_D_fake -0.005921
[770/5000][320/535][79311] Loss_D: -0.022889 Loss_G: 0.003414 Loss_D_real: -0.017025 Loss_D_fake 0.005864
[770/5000][325/535][79312] Loss_D: -0.024726 Loss_G: -0.003799 Loss_D_real: -0.007694 Loss_D_fake 0.017033
[770/5000][330/535][79313] Loss_D: -0.024411 Loss_G: 0.009783 Loss_D_real: -0.019718 Loss_D_fake 0.004693
[770/5000][335/535][79314] Loss_D: -0.022412 Loss_G: 0.035526 Loss_D_real: -0.037274 Loss_D_fake -0.014862
[770/5000][340/535][79315] Loss_D: -0.024982 Loss_G: -0.004810 Loss_D_real: -0.010985 Loss_D_fake 0.013997
[770/5000][345/535][79316] Loss_D: -0.024986 Loss_G: 0.015560 Loss_D_real: -0.019688 Loss_D_fake 0.005297
[770/5000][350/535][79317] Loss_D: -0.024622 Loss_G: 0.014784 Loss_D_real: -0.021213 Loss_D_fake 0.003409
[770/5000][355/535][79318] Loss_D: -0.024854 Loss_G: 0.007455 Loss_D_real: -0.015318 Loss_D_fake 0.009537
[770/5000][360/535][79319] Loss_D: -0.024882 Loss_G: 0.005120 Loss_D_real: -0.007569 Loss_D_fake 0.017313
[770/5000][365/535][79320] Loss_D: -0.023910 Loss_G: -0.003190 Loss_D_real: -0.008842 Loss_D_fake 0.015068
[770/5000][370/535][79321] Loss_D: -0.023758 Loss_G: 0.016249 Loss_D_real: -0.026773 Loss_D_fake -0.003015
[770/5000][375/535][79322] Loss_D: -0.024987 Loss_G: 0.017366 Loss_D_real: -0.024362 Loss_D_fake 0.000626
[770/5000][380/535][79323] Loss_D: -0.023654 Loss_G: -0.009575 Loss_D_real: -0.001395 Loss_D_fake 0.022259
[770/5000][385/535][79324] Loss_D: -0.024437 Loss_G: 0.013465 Loss_D_real: -0.018231 Loss_D_fake 0.006206
[770/5000][390/535][79325] Loss_D: -0.024279 Loss_G: 0.011417 Loss_D_real: -0.017151 Loss_D_fake 0.007127
[770/5000][395/535][79326] Loss_D: -0.024358 Loss_G: -0.003791 Loss_D_real: -0.020603 Loss_D_fake 0.003755
[770/5000][400/535][79327] Loss_D: -0.023021 Loss_G: 0.019229 Loss_D_real: -0.021886 Loss_D_fake 0.001135
[770/5000][405/535][79328] Loss_D: -0.024231 Loss_G: -0.013368 Loss_D_real: -0.007536 Loss_D_fake 0.016696
[770/5000][410/535][79329] Loss_D: -0.023783 Loss_G: 0.006744 Loss_D_real: -0.016774 Loss_D_fake 0.007009
[770/5000][415/535][79330] Loss_D: -0.024972 Loss_G: 0.002053 Loss_D_real: -0.005072 Loss_D_fake 0.019900
[770/5000][420/535][79331] Loss_D: -0.023319 Loss_G: 0.014868 Loss_D_real: -0.029141 Loss_D_fake -0.005823
[770/5000][425/535][79332] Loss_D: -0.024124 Loss_G: 0.024822 Loss_D_real: -0.031354 Loss_D_fake -0.007230
[770/5000][430/535][79333] Loss_D: -0.024143 Loss_G: -0.002606 Loss_D_real: -0.010129 Loss_D_fake 0.014014
[770/5000][435/535][79334] Loss_D: -0.024104 Loss_G: -0.010051 Loss_D_real: -0.010464 Loss_D_fake 0.013640
[770/5000][440/535][79335] Loss_D: -0.022248 Loss_G: 0.029469 Loss_D_real: -0.032323 Loss_D_fake -0.010075
[770/5000][445/535][79336] Loss_D: -0.022811 Loss_G: 0.027139 Loss_D_real: -0.031711 Loss_D_fake -0.008901
[770/5000][450/535][79337] Loss_D: -0.023306 Loss_G: -0.010932 Loss_D_real: -0.008611 Loss_D_fake 0.014695
[770/5000][455/535][79338] Loss_D: -0.022520 Loss_G: 0.018933 Loss_D_real: -0.022338 Loss_D_fake 0.000182
[770/5000][460/535][79339] Loss_D: -0.022372 Loss_G: 0.018058 Loss_D_real: -0.028094 Loss_D_fake -0.005723
[770/5000][465/535][79340] Loss_D: -0.024852 Loss_G: 0.013145 Loss_D_real: -0.030262 Loss_D_fake -0.005410
[770/5000][470/535][79341] Loss_D: -0.023933 Loss_G: 0.005988 Loss_D_real: -0.014996 Loss_D_fake 0.008938
[770/5000][475/535][79342] Loss_D: -0.023184 Loss_G: 0.015322 Loss_D_real: -0.027192 Loss_D_fake -0.004008
[770/5000][480/535][79343] Loss_D: -0.024885 Loss_G: 0.013023 Loss_D_real: -0.013592 Loss_D_fake 0.011293
[770/5000][485/535][79344] Loss_D: -0.023438 Loss_G: -0.002764 Loss_D_real: -0.018827 Loss_D_fake 0.004611
[770/5000][490/535][79345] Loss_D: -0.023310 Loss_G: 0.019025 Loss_D_real: -0.022809 Loss_D_fake 0.000501
[770/5000][495/535][79346] Loss_D: -0.023682 Loss_G: -0.007719 Loss_D_real: -0.014586 Loss_D_fake 0.009095
[770/5000][500/535][79347] Loss_D: -0.022301 Loss_G: 0.025620 Loss_D_real: -0.031676 Loss_D_fake -0.009375
[770/5000][505/535][79348] Loss_D: -0.023617 Loss_G: -0.002974 Loss_D_real: -0.013279 Loss_D_fake 0.010339
[770/5000][510/535][79349] Loss_D: -0.023521 Loss_G: 0.013098 Loss_D_real: -0.032177 Loss_D_fake -0.008657
[770/5000][515/535][79350] Loss_D: -0.023209 Loss_G: -0.005582 Loss_D_real: -0.015123 Loss_D_fake 0.008086
[770/5000][520/535][79351] Loss_D: -0.022955 Loss_G: 0.014640 Loss_D_real: -0.031032 Loss_D_fake -0.008077
[770/5000][525/535][79352] Loss_D: -0.022695 Loss_G: -0.003127 Loss_D_real: -0.006298 Loss_D_fake 0.016397
[770/5000][530/535][79353] Loss_D: -0.021754 Loss_G: 0.014042 Loss_D_real: -0.031910 Loss_D_fake -0.010156
[770/5000][535/535][79354] Loss_D: -0.024265 Loss_G: 0.004029 Loss_D_real: -0.029186 Loss_D_fake -0.004921
[771/5000][5/535][79355] Loss_D: -0.025314 Loss_G: 0.005342 Loss_D_real: -0.011566 Loss_D_fake 0.013748
[771/5000][10/535][79356] Loss_D: -0.023573 Loss_G: 0.021592 Loss_D_real: -0.031583 Loss_D_fake -0.008009
[771/5000][15/535][79357] Loss_D: -0.023660 Loss_G: 0.024330 Loss_D_real: -0.032375 Loss_D_fake -0.008715
[771/5000][20/535][79358] Loss_D: -0.024170 Loss_G: 0.007147 Loss_D_real: -0.014816 Loss_D_fake 0.009354
[771/5000][25/535][79359] Loss_D: -0.023155 Loss_G: 0.017459 Loss_D_real: -0.024607 Loss_D_fake -0.001453
[771/5000][30/535][79360] Loss_D: -0.023510 Loss_G: 0.014835 Loss_D_real: -0.015743 Loss_D_fake 0.007768
[771/5000][35/535][79361] Loss_D: -0.022876 Loss_G: -0.012424 Loss_D_real: -0.008554 Loss_D_fake 0.014322
[771/5000][40/535][79362] Loss_D: -0.022782 Loss_G: 0.016194 Loss_D_real: -0.031466 Loss_D_fake -0.008684
[771/5000][45/535][79363] Loss_D: -0.022551 Loss_G: 0.021601 Loss_D_real: -0.025328 Loss_D_fake -0.002777
[771/5000][50/535][79364] Loss_D: -0.023848 Loss_G: -0.009680 Loss_D_real: -0.006407 Loss_D_fake 0.017442
[771/5000][55/535][79365] Loss_D: -0.024038 Loss_G: 0.007559 Loss_D_real: -0.014561 Loss_D_fake 0.009476
[771/5000][60/535][79366] Loss_D: -0.023805 Loss_G: 0.007036 Loss_D_real: -0.027724 Loss_D_fake -0.003919
[771/5000][65/535][79367] Loss_D: -0.024488 Loss_G: 0.006744 Loss_D_real: -0.025095 Loss_D_fake -0.000607
[771/5000][70/535][79368] Loss_D: -0.023875 Loss_G: -0.002126 Loss_D_real: -0.005409 Loss_D_fake 0.018466
[771/5000][75/535][79369] Loss_D: -0.021212 Loss_G: -0.011138 Loss_D_real: -0.004763 Loss_D_fake 0.016450
[771/5000][80/535][79370] Loss_D: -0.022969 Loss_G: 0.016040 Loss_D_real: -0.017761 Loss_D_fake 0.005208
[771/5000][85/535][79371] Loss_D: -0.022280 Loss_G: 0.003399 Loss_D_real: -0.008651 Loss_D_fake 0.013629
[771/5000][90/535][79372] Loss_D: -0.024130 Loss_G: 0.017525 Loss_D_real: -0.017419 Loss_D_fake 0.006710
[771/5000][95/535][79373] Loss_D: -0.023378 Loss_G: 0.008325 Loss_D_real: -0.023042 Loss_D_fake 0.000337
[771/5000][100/535][79374] Loss_D: -0.024781 Loss_G: 0.036779 Loss_D_real: -0.032240 Loss_D_fake -0.007459
[771/5000][105/535][79375] Loss_D: -0.023002 Loss_G: 0.014313 Loss_D_real: -0.027257 Loss_D_fake -0.004255
[771/5000][110/535][79376] Loss_D: -0.022872 Loss_G: 0.019038 Loss_D_real: -0.034157 Loss_D_fake -0.011285
[771/5000][115/535][79377] Loss_D: -0.023292 Loss_G: 0.005487 Loss_D_real: -0.034553 Loss_D_fake -0.011261
[771/5000][120/535][79378] Loss_D: -0.023089 Loss_G: -0.006716 Loss_D_real: -0.011656 Loss_D_fake 0.011433
[771/5000][125/535][79379] Loss_D: -0.023482 Loss_G: 0.011739 Loss_D_real: -0.026112 Loss_D_fake -0.002630
[771/5000][130/535][79380] Loss_D: -0.024719 Loss_G: 0.001575 Loss_D_real: -0.016864 Loss_D_fake 0.007855
[771/5000][135/535][79381] Loss_D: -0.024010 Loss_G: 0.024212 Loss_D_real: -0.021740 Loss_D_fake 0.002270
[771/5000][140/535][79382] Loss_D: -0.023979 Loss_G: 0.013906 Loss_D_real: -0.025210 Loss_D_fake -0.001231
[771/5000][145/535][79383] Loss_D: -0.023980 Loss_G: 0.025120 Loss_D_real: -0.033440 Loss_D_fake -0.009460
[771/5000][150/535][79384] Loss_D: -0.024575 Loss_G: 0.002239 Loss_D_real: 0.000078 Loss_D_fake 0.024653
[771/5000][155/535][79385] Loss_D: -0.023590 Loss_G: 0.031857 Loss_D_real: -0.030735 Loss_D_fake -0.007145
[771/5000][160/535][79386] Loss_D: -0.022571 Loss_G: -0.009417 Loss_D_real: -0.000017 Loss_D_fake 0.022554
[771/5000][165/535][79387] Loss_D: -0.023780 Loss_G: 0.009046 Loss_D_real: -0.007773 Loss_D_fake 0.016007
[771/5000][170/535][79388] Loss_D: -0.022696 Loss_G: 0.019174 Loss_D_real: -0.025906 Loss_D_fake -0.003210
[771/5000][175/535][79389] Loss_D: -0.023413 Loss_G: 0.010143 Loss_D_real: -0.029718 Loss_D_fake -0.006305
[771/5000][180/535][79390] Loss_D: -0.024233 Loss_G: 0.007316 Loss_D_real: -0.012946 Loss_D_fake 0.011287
[771/5000][185/535][79391] Loss_D: -0.023853 Loss_G: 0.014675 Loss_D_real: -0.025904 Loss_D_fake -0.002051
[771/5000][190/535][79392] Loss_D: -0.023200 Loss_G: -0.003511 Loss_D_real: -0.008128 Loss_D_fake 0.015073
[771/5000][195/535][79393] Loss_D: -0.022919 Loss_G: -0.005514 Loss_D_real: -0.005700 Loss_D_fake 0.017219
[771/5000][200/535][79394] Loss_D: -0.024315 Loss_G: 0.004822 Loss_D_real: -0.013106 Loss_D_fake 0.011208
[771/5000][205/535][79395] Loss_D: -0.023002 Loss_G: 0.007266 Loss_D_real: -0.024621 Loss_D_fake -0.001619
[771/5000][210/535][79396] Loss_D: -0.024279 Loss_G: 0.031506 Loss_D_real: -0.033974 Loss_D_fake -0.009695
[771/5000][215/535][79397] Loss_D: -0.023256 Loss_G: 0.002838 Loss_D_real: -0.011126 Loss_D_fake 0.012130
[771/5000][220/535][79398] Loss_D: -0.023910 Loss_G: 0.020465 Loss_D_real: -0.027629 Loss_D_fake -0.003719
[771/5000][225/535][79399] Loss_D: -0.023249 Loss_G: 0.010849 Loss_D_real: -0.021349 Loss_D_fake 0.001900
[771/5000][230/535][79400] Loss_D: -0.022875 Loss_G: 0.014894 Loss_D_real: -0.019612 Loss_D_fake 0.003262
[771/5000][235/535][79401] Loss_D: -0.024212 Loss_G: 0.022947 Loss_D_real: -0.029866 Loss_D_fake -0.005654
[771/5000][240/535][79402] Loss_D: -0.023553 Loss_G: 0.018446 Loss_D_real: -0.025275 Loss_D_fake -0.001722
[771/5000][245/535][79403] Loss_D: -0.022383 Loss_G: 0.027216 Loss_D_real: -0.033062 Loss_D_fake -0.010679
[771/5000][250/535][79404] Loss_D: -0.023223 Loss_G: 0.016438 Loss_D_real: -0.023556 Loss_D_fake -0.000333
[771/5000][255/535][79405] Loss_D: -0.024669 Loss_G: 0.012429 Loss_D_real: -0.027249 Loss_D_fake -0.002580
[771/5000][260/535][79406] Loss_D: -0.024045 Loss_G: 0.010081 Loss_D_real: -0.016475 Loss_D_fake 0.007570
[771/5000][265/535][79407] Loss_D: -0.023987 Loss_G: 0.004976 Loss_D_real: -0.025035 Loss_D_fake -0.001048
[771/5000][270/535][79408] Loss_D: -0.026430 Loss_G: 0.002597 Loss_D_real: -0.027863 Loss_D_fake -0.001433
[771/5000][275/535][79409] Loss_D: -0.024305 Loss_G: 0.001625 Loss_D_real: -0.000748 Loss_D_fake 0.023557
[771/5000][280/535][79410] Loss_D: -0.024157 Loss_G: 0.021295 Loss_D_real: -0.030925 Loss_D_fake -0.006768
[771/5000][285/535][79411] Loss_D: -0.021827 Loss_G: 0.035854 Loss_D_real: -0.027090 Loss_D_fake -0.005263
[771/5000][290/535][79412] Loss_D: -0.022046 Loss_G: 0.011023 Loss_D_real: -0.016160 Loss_D_fake 0.005886
[771/5000][295/535][79413] Loss_D: -0.023844 Loss_G: 0.004316 Loss_D_real: -0.016042 Loss_D_fake 0.007802
[771/5000][300/535][79414] Loss_D: -0.023677 Loss_G: 0.010382 Loss_D_real: -0.026005 Loss_D_fake -0.002329
[771/5000][305/535][79415] Loss_D: -0.024654 Loss_G: 0.018495 Loss_D_real: -0.028855 Loss_D_fake -0.004201
[771/5000][310/535][79416] Loss_D: -0.023397 Loss_G: 0.012403 Loss_D_real: -0.030969 Loss_D_fake -0.007572
[771/5000][315/535][79417] Loss_D: -0.023975 Loss_G: 0.016975 Loss_D_real: -0.024342 Loss_D_fake -0.000367
[771/5000][320/535][79418] Loss_D: -0.023305 Loss_G: 0.020395 Loss_D_real: -0.023527 Loss_D_fake -0.000223
[771/5000][325/535][79419] Loss_D: -0.024031 Loss_G: 0.002919 Loss_D_real: -0.019234 Loss_D_fake 0.004797
[771/5000][330/535][79420] Loss_D: -0.021655 Loss_G: -0.017441 Loss_D_real: -0.003442 Loss_D_fake 0.018212
[771/5000][335/535][79421] Loss_D: -0.022657 Loss_G: 0.017389 Loss_D_real: -0.026926 Loss_D_fake -0.004269
[771/5000][340/535][79422] Loss_D: -0.023000 Loss_G: 0.021833 Loss_D_real: -0.015263 Loss_D_fake 0.007737
[771/5000][345/535][79423] Loss_D: -0.023885 Loss_G: 0.014346 Loss_D_real: -0.020617 Loss_D_fake 0.003268
[771/5000][350/535][79424] Loss_D: -0.023565 Loss_G: 0.028774 Loss_D_real: -0.023096 Loss_D_fake 0.000469
[771/5000][355/535][79425] Loss_D: -0.023612 Loss_G: 0.022339 Loss_D_real: -0.037296 Loss_D_fake -0.013684
[771/5000][360/535][79426] Loss_D: -0.023617 Loss_G: -0.011835 Loss_D_real: -0.001006 Loss_D_fake 0.022611
[771/5000][365/535][79427] Loss_D: -0.023355 Loss_G: 0.010752 Loss_D_real: -0.018106 Loss_D_fake 0.005249
[771/5000][370/535][79428] Loss_D: -0.025232 Loss_G: 0.010375 Loss_D_real: -0.030109 Loss_D_fake -0.004876
[771/5000][375/535][79429] Loss_D: -0.025569 Loss_G: -0.000363 Loss_D_real: -0.010174 Loss_D_fake 0.015395
[771/5000][380/535][79430] Loss_D: -0.024308 Loss_G: 0.006068 Loss_D_real: -0.023059 Loss_D_fake 0.001249
[771/5000][385/535][79431] Loss_D: -0.023798 Loss_G: 0.008117 Loss_D_real: -0.017402 Loss_D_fake 0.006396
[771/5000][390/535][79432] Loss_D: -0.023534 Loss_G: -0.002770 Loss_D_real: -0.001465 Loss_D_fake 0.022068
[771/5000][395/535][79433] Loss_D: -0.024586 Loss_G: 0.016058 Loss_D_real: -0.017913 Loss_D_fake 0.006673
[771/5000][400/535][79434] Loss_D: -0.023820 Loss_G: 0.009681 Loss_D_real: -0.016604 Loss_D_fake 0.007217
[771/5000][405/535][79435] Loss_D: -0.022603 Loss_G: 0.021355 Loss_D_real: -0.030179 Loss_D_fake -0.007576
[771/5000][410/535][79436] Loss_D: -0.022499 Loss_G: -0.001458 Loss_D_real: -0.013989 Loss_D_fake 0.008509
[771/5000][415/535][79437] Loss_D: -0.024594 Loss_G: 0.002701 Loss_D_real: -0.016850 Loss_D_fake 0.007745
[771/5000][420/535][79438] Loss_D: -0.024341 Loss_G: 0.027562 Loss_D_real: -0.025855 Loss_D_fake -0.001515
[771/5000][425/535][79439] Loss_D: -0.023725 Loss_G: -0.005716 Loss_D_real: -0.012206 Loss_D_fake 0.011518
[771/5000][430/535][79440] Loss_D: -0.022563 Loss_G: 0.003786 Loss_D_real: -0.018246 Loss_D_fake 0.004318
[771/5000][435/535][79441] Loss_D: -0.023465 Loss_G: 0.019387 Loss_D_real: -0.028357 Loss_D_fake -0.004893
[771/5000][440/535][79442] Loss_D: -0.022828 Loss_G: 0.004975 Loss_D_real: -0.009713 Loss_D_fake 0.013115
[771/5000][445/535][79443] Loss_D: -0.022670 Loss_G: 0.014642 Loss_D_real: -0.023001 Loss_D_fake -0.000330
[771/5000][450/535][79444] Loss_D: -0.025449 Loss_G: 0.000841 Loss_D_real: -0.005405 Loss_D_fake 0.020044
[771/5000][455/535][79445] Loss_D: -0.022152 Loss_G: 0.013937 Loss_D_real: -0.028567 Loss_D_fake -0.006416
[771/5000][460/535][79446] Loss_D: -0.022925 Loss_G: -0.008730 Loss_D_real: -0.007805 Loss_D_fake 0.015120
[771/5000][465/535][79447] Loss_D: -0.022989 Loss_G: 0.022652 Loss_D_real: -0.029915 Loss_D_fake -0.006926
[771/5000][470/535][79448] Loss_D: -0.022188 Loss_G: 0.014390 Loss_D_real: -0.022006 Loss_D_fake 0.000183
[771/5000][475/535][79449] Loss_D: -0.022451 Loss_G: 0.014170 Loss_D_real: -0.013200 Loss_D_fake 0.009252
[771/5000][480/535][79450] Loss_D: -0.022997 Loss_G: 0.023275 Loss_D_real: -0.023864 Loss_D_fake -0.000867
[771/5000][485/535][79451] Loss_D: -0.024581 Loss_G: 0.014490 Loss_D_real: -0.023899 Loss_D_fake 0.000682
[771/5000][490/535][79452] Loss_D: -0.024348 Loss_G: 0.003658 Loss_D_real: -0.019611 Loss_D_fake 0.004737
[771/5000][495/535][79453] Loss_D: -0.024011 Loss_G: 0.017761 Loss_D_real: -0.034131 Loss_D_fake -0.010119
[771/5000][500/535][79454] Loss_D: -0.022878 Loss_G: 0.026934 Loss_D_real: -0.030767 Loss_D_fake -0.007889
[771/5000][505/535][79455] Loss_D: -0.022899 Loss_G: 0.012864 Loss_D_real: -0.035627 Loss_D_fake -0.012728
[771/5000][510/535][79456] Loss_D: -0.023315 Loss_G: 0.009878 Loss_D_real: -0.022385 Loss_D_fake 0.000930
[771/5000][515/535][79457] Loss_D: -0.023434 Loss_G: 0.018203 Loss_D_real: -0.028139 Loss_D_fake -0.004705
[771/5000][520/535][79458] Loss_D: -0.024349 Loss_G: 0.020276 Loss_D_real: -0.024429 Loss_D_fake -0.000079
[771/5000][525/535][79459] Loss_D: -0.025029 Loss_G: 0.019198 Loss_D_real: -0.029155 Loss_D_fake -0.004126
[771/5000][530/535][79460] Loss_D: -0.024199 Loss_G: -0.006016 Loss_D_real: -0.012294 Loss_D_fake 0.011904
[771/5000][535/535][79461] Loss_D: -0.026527 Loss_G: 0.016409 Loss_D_real: -0.018661 Loss_D_fake 0.007866
[772/5000][5/535][79462] Loss_D: -0.026889 Loss_G: 0.004649 Loss_D_real: -0.025113 Loss_D_fake 0.001776
[772/5000][10/535][79463] Loss_D: -0.024376 Loss_G: 0.013592 Loss_D_real: -0.025665 Loss_D_fake -0.001288
[772/5000][15/535][79464] Loss_D: -0.024515 Loss_G: 0.002745 Loss_D_real: -0.015595 Loss_D_fake 0.008921
[772/5000][20/535][79465] Loss_D: -0.025358 Loss_G: 0.014129 Loss_D_real: -0.021963 Loss_D_fake 0.003395
[772/5000][25/535][79466] Loss_D: -0.023696 Loss_G: 0.019647 Loss_D_real: -0.029705 Loss_D_fake -0.006009
[772/5000][30/535][79467] Loss_D: -0.024786 Loss_G: 0.016985 Loss_D_real: -0.020031 Loss_D_fake 0.004755
[772/5000][35/535][79468] Loss_D: -0.024591 Loss_G: 0.000297 Loss_D_real: -0.018333 Loss_D_fake 0.006258
[772/5000][40/535][79469] Loss_D: -0.024450 Loss_G: -0.004606 Loss_D_real: -0.004366 Loss_D_fake 0.020084
[772/5000][45/535][79470] Loss_D: -0.023787 Loss_G: 0.022938 Loss_D_real: -0.041159 Loss_D_fake -0.017373
[772/5000][50/535][79471] Loss_D: -0.024321 Loss_G: -0.019961 Loss_D_real: -0.003301 Loss_D_fake 0.021020
[772/5000][55/535][79472] Loss_D: -0.024851 Loss_G: 0.006715 Loss_D_real: -0.012172 Loss_D_fake 0.012679
[772/5000][60/535][79473] Loss_D: -0.023581 Loss_G: -0.014744 Loss_D_real: -0.011535 Loss_D_fake 0.012046
[772/5000][65/535][79474] Loss_D: -0.024677 Loss_G: 0.017158 Loss_D_real: -0.017028 Loss_D_fake 0.007649
[772/5000][70/535][79475] Loss_D: -0.024117 Loss_G: 0.019852 Loss_D_real: -0.013514 Loss_D_fake 0.010603
[772/5000][75/535][79476] Loss_D: -0.022757 Loss_G: -0.001100 Loss_D_real: -0.012838 Loss_D_fake 0.009919
[772/5000][80/535][79477] Loss_D: -0.022912 Loss_G: 0.020709 Loss_D_real: -0.030344 Loss_D_fake -0.007431
[772/5000][85/535][79478] Loss_D: -0.024492 Loss_G: 0.021729 Loss_D_real: -0.021786 Loss_D_fake 0.002706
[772/5000][90/535][79479] Loss_D: -0.024574 Loss_G: -0.007204 Loss_D_real: -0.019766 Loss_D_fake 0.004807
[772/5000][95/535][79480] Loss_D: -0.023768 Loss_G: 0.029058 Loss_D_real: -0.018711 Loss_D_fake 0.005057
[772/5000][100/535][79481] Loss_D: -0.023545 Loss_G: 0.017326 Loss_D_real: -0.021179 Loss_D_fake 0.002366
[772/5000][105/535][79482] Loss_D: -0.023589 Loss_G: 0.006689 Loss_D_real: -0.019810 Loss_D_fake 0.003778
[772/5000][110/535][79483] Loss_D: -0.024773 Loss_G: 0.016798 Loss_D_real: -0.030175 Loss_D_fake -0.005402
[772/5000][115/535][79484] Loss_D: -0.022769 Loss_G: 0.002209 Loss_D_real: -0.019208 Loss_D_fake 0.003562
[772/5000][120/535][79485] Loss_D: -0.021967 Loss_G: 0.022272 Loss_D_real: -0.027797 Loss_D_fake -0.005830
[772/5000][125/535][79486] Loss_D: -0.024365 Loss_G: -0.003150 Loss_D_real: -0.011401 Loss_D_fake 0.012964
[772/5000][130/535][79487] Loss_D: -0.023451 Loss_G: 0.005833 Loss_D_real: -0.020218 Loss_D_fake 0.003233
[772/5000][135/535][79488] Loss_D: -0.023428 Loss_G: 0.017722 Loss_D_real: -0.011071 Loss_D_fake 0.012356
[772/5000][140/535][79489] Loss_D: -0.023642 Loss_G: 0.013655 Loss_D_real: -0.015831 Loss_D_fake 0.007811
[772/5000][145/535][79490] Loss_D: -0.022197 Loss_G: 0.019153 Loss_D_real: -0.027922 Loss_D_fake -0.005725
[772/5000][150/535][79491] Loss_D: -0.021487 Loss_G: 0.037834 Loss_D_real: -0.030410 Loss_D_fake -0.008923
[772/5000][155/535][79492] Loss_D: -0.022851 Loss_G: 0.009417 Loss_D_real: -0.024368 Loss_D_fake -0.001516
[772/5000][160/535][79493] Loss_D: -0.022672 Loss_G: -0.006429 Loss_D_real: -0.018209 Loss_D_fake 0.004463
[772/5000][165/535][79494] Loss_D: -0.023316 Loss_G: 0.011408 Loss_D_real: -0.017915 Loss_D_fake 0.005401
[772/5000][170/535][79495] Loss_D: -0.023674 Loss_G: 0.009745 Loss_D_real: -0.013147 Loss_D_fake 0.010528
[772/5000][175/535][79496] Loss_D: -0.024434 Loss_G: 0.009584 Loss_D_real: -0.025316 Loss_D_fake -0.000881
[772/5000][180/535][79497] Loss_D: -0.023557 Loss_G: -0.010221 Loss_D_real: -0.011799 Loss_D_fake 0.011758
[772/5000][185/535][79498] Loss_D: -0.023278 Loss_G: 0.014237 Loss_D_real: -0.029218 Loss_D_fake -0.005940
[772/5000][190/535][79499] Loss_D: -0.023566 Loss_G: 0.003970 Loss_D_real: -0.021856 Loss_D_fake 0.001710
[772/5000][195/535][79500] Loss_D: -0.025075 Loss_G: -0.000807 Loss_D_real: -0.018034 Loss_D_fake 0.007041
[772/5000][295/535][79501] Loss_D: -0.026910 Loss_G: 0.013364 Loss_D_real: -0.015223 Loss_D_fake 0.011686
[772/5000][300/535][79502] Loss_D: -0.024642 Loss_G: 0.004275 Loss_D_real: -0.028749 Loss_D_fake -0.004107
[772/5000][305/535][79503] Loss_D: -0.021877 Loss_G: 0.001181 Loss_D_real: -0.018969 Loss_D_fake 0.002908
[772/5000][310/535][79504] Loss_D: -0.022789 Loss_G: 0.008793 Loss_D_real: -0.013590 Loss_D_fake 0.009199
[772/5000][315/535][79505] Loss_D: -0.022831 Loss_G: 0.011296 Loss_D_real: -0.024983 Loss_D_fake -0.002152
[772/5000][320/535][79506] Loss_D: -0.022728 Loss_G: 0.008151 Loss_D_real: -0.012925 Loss_D_fake 0.009802
[772/5000][325/535][79507] Loss_D: -0.024302 Loss_G: 0.020421 Loss_D_real: -0.025252 Loss_D_fake -0.000950
[772/5000][330/535][79508] Loss_D: -0.023327 Loss_G: -0.002599 Loss_D_real: -0.028907 Loss_D_fake -0.005579
[772/5000][335/535][79509] Loss_D: -0.022886 Loss_G: -0.003146 Loss_D_real: -0.013591 Loss_D_fake 0.009295
[772/5000][340/535][79510] Loss_D: -0.022457 Loss_G: 0.022190 Loss_D_real: -0.025552 Loss_D_fake -0.003095
[772/5000][345/535][79511] Loss_D: -0.023233 Loss_G: 0.008299 Loss_D_real: -0.009634 Loss_D_fake 0.013598
[772/5000][350/535][79512] Loss_D: -0.023073 Loss_G: 0.005504 Loss_D_real: -0.015477 Loss_D_fake 0.007596
[772/5000][355/535][79513] Loss_D: -0.023544 Loss_G: 0.020769 Loss_D_real: -0.032915 Loss_D_fake -0.009371
[772/5000][360/535][79514] Loss_D: -0.022891 Loss_G: 0.017904 Loss_D_real: -0.022066 Loss_D_fake 0.000825
[772/5000][365/535][79515] Loss_D: -0.025085 Loss_G: -0.004436 Loss_D_real: -0.003274 Loss_D_fake 0.021811
[772/5000][370/535][79516] Loss_D: -0.021532 Loss_G: 0.036238 Loss_D_real: -0.031719 Loss_D_fake -0.010187
[772/5000][375/535][79517] Loss_D: -0.024073 Loss_G: -0.009347 Loss_D_real: -0.004874 Loss_D_fake 0.019198
[772/5000][380/535][79518] Loss_D: -0.022714 Loss_G: -0.001276 Loss_D_real: -0.004964 Loss_D_fake 0.017749
[772/5000][385/535][79519] Loss_D: -0.023300 Loss_G: 0.008467 Loss_D_real: -0.027901 Loss_D_fake -0.004600
[772/5000][390/535][79520] Loss_D: -0.024208 Loss_G: 0.009634 Loss_D_real: -0.020518 Loss_D_fake 0.003689
[772/5000][395/535][79521] Loss_D: -0.022266 Loss_G: 0.033360 Loss_D_real: -0.038821 Loss_D_fake -0.016555
[772/5000][400/535][79522] Loss_D: -0.024405 Loss_G: -0.000379 Loss_D_real: -0.013531 Loss_D_fake 0.010874
[772/5000][405/535][79523] Loss_D: -0.025631 Loss_G: 0.018307 Loss_D_real: -0.027890 Loss_D_fake -0.002259
[772/5000][410/535][79524] Loss_D: -0.024327 Loss_G: 0.003007 Loss_D_real: -0.006042 Loss_D_fake 0.018285
[772/5000][415/535][79525] Loss_D: -0.023360 Loss_G: 0.017813 Loss_D_real: -0.013934 Loss_D_fake 0.009426
[772/5000][420/535][79526] Loss_D: -0.024638 Loss_G: 0.002809 Loss_D_real: -0.014550 Loss_D_fake 0.010088
[772/5000][425/535][79527] Loss_D: -0.025602 Loss_G: 0.004754 Loss_D_real: -0.004910 Loss_D_fake 0.020692
[772/5000][430/535][79528] Loss_D: -0.023355 Loss_G: 0.005069 Loss_D_real: -0.015718 Loss_D_fake 0.007637
[772/5000][435/535][79529] Loss_D: -0.023249 Loss_G: 0.002480 Loss_D_real: -0.005381 Loss_D_fake 0.017868
[772/5000][440/535][79530] Loss_D: -0.023669 Loss_G: 0.022908 Loss_D_real: -0.024337 Loss_D_fake -0.000668
[772/5000][445/535][79531] Loss_D: -0.023855 Loss_G: 0.008625 Loss_D_real: -0.024344 Loss_D_fake -0.000489
[772/5000][450/535][79532] Loss_D: -0.022554 Loss_G: 0.015185 Loss_D_real: -0.024702 Loss_D_fake -0.002149
[772/5000][455/535][79533] Loss_D: -0.022367 Loss_G: 0.022974 Loss_D_real: -0.025081 Loss_D_fake -0.002714
[772/5000][460/535][79534] Loss_D: -0.022986 Loss_G: 0.003064 Loss_D_real: -0.015364 Loss_D_fake 0.007622
[772/5000][465/535][79535] Loss_D: -0.023694 Loss_G: -0.005618 Loss_D_real: -0.016237 Loss_D_fake 0.007457
[772/5000][470/535][79536] Loss_D: -0.023751 Loss_G: 0.003865 Loss_D_real: -0.024310 Loss_D_fake -0.000559
[772/5000][475/535][79537] Loss_D: -0.023014 Loss_G: 0.007547 Loss_D_real: -0.014506 Loss_D_fake 0.008508
[772/5000][480/535][79538] Loss_D: -0.023059 Loss_G: 0.019096 Loss_D_real: -0.021546 Loss_D_fake 0.001512
[772/5000][485/535][79539] Loss_D: -0.024363 Loss_G: 0.020606 Loss_D_real: -0.026152 Loss_D_fake -0.001790
[772/5000][490/535][79540] Loss_D: -0.022473 Loss_G: -0.008961 Loss_D_real: -0.009184 Loss_D_fake 0.013289
[772/5000][495/535][79541] Loss_D: -0.023809 Loss_G: -0.010649 Loss_D_real: -0.001845 Loss_D_fake 0.021964
[772/5000][500/535][79542] Loss_D: -0.023723 Loss_G: 0.008722 Loss_D_real: -0.009579 Loss_D_fake 0.014144
[772/5000][505/535][79543] Loss_D: -0.023342 Loss_G: -0.007004 Loss_D_real: -0.011793 Loss_D_fake 0.011549
[772/5000][510/535][79544] Loss_D: -0.024073 Loss_G: 0.006491 Loss_D_real: -0.022712 Loss_D_fake 0.001361
[772/5000][515/535][79545] Loss_D: -0.023995 Loss_G: 0.021185 Loss_D_real: -0.031106 Loss_D_fake -0.007111
[772/5000][520/535][79546] Loss_D: -0.024211 Loss_G: 0.017267 Loss_D_real: -0.023780 Loss_D_fake 0.000431
[772/5000][525/535][79547] Loss_D: -0.023949 Loss_G: -0.015876 Loss_D_real: -0.000200 Loss_D_fake 0.023749
[772/5000][530/535][79548] Loss_D: -0.022592 Loss_G: 0.017783 Loss_D_real: -0.017281 Loss_D_fake 0.005311
[772/5000][535/535][79549] Loss_D: -0.025796 Loss_G: 0.013339 Loss_D_real: -0.020665 Loss_D_fake 0.005132
[773/5000][5/535][79550] Loss_D: -0.023817 Loss_G: -0.003380 Loss_D_real: -0.011439 Loss_D_fake 0.012377
[773/5000][10/535][79551] Loss_D: -0.023293 Loss_G: -0.005672 Loss_D_real: 0.002278 Loss_D_fake 0.025570
[773/5000][15/535][79552] Loss_D: -0.023292 Loss_G: 0.002900 Loss_D_real: -0.009812 Loss_D_fake 0.013481
[773/5000][20/535][79553] Loss_D: -0.023988 Loss_G: -0.001029 Loss_D_real: -0.016710 Loss_D_fake 0.007278
[773/5000][25/535][79554] Loss_D: -0.023753 Loss_G: 0.012152 Loss_D_real: -0.021498 Loss_D_fake 0.002256
[773/5000][30/535][79555] Loss_D: -0.023542 Loss_G: 0.012490 Loss_D_real: -0.022374 Loss_D_fake 0.001168
[773/5000][35/535][79556] Loss_D: -0.022423 Loss_G: -0.017149 Loss_D_real: 0.007631 Loss_D_fake 0.030054
[773/5000][40/535][79557] Loss_D: -0.024656 Loss_G: 0.006127 Loss_D_real: -0.014411 Loss_D_fake 0.010246
[773/5000][45/535][79558] Loss_D: -0.024642 Loss_G: -0.003583 Loss_D_real: -0.006588 Loss_D_fake 0.018054
[773/5000][50/535][79559] Loss_D: -0.023992 Loss_G: 0.004644 Loss_D_real: -0.009611 Loss_D_fake 0.014381
[773/5000][55/535][79560] Loss_D: -0.025124 Loss_G: 0.011797 Loss_D_real: -0.019958 Loss_D_fake 0.005166
[773/5000][60/535][79561] Loss_D: -0.023561 Loss_G: 0.033433 Loss_D_real: -0.028264 Loss_D_fake -0.004703
[773/5000][65/535][79562] Loss_D: -0.024309 Loss_G: 0.026015 Loss_D_real: -0.023832 Loss_D_fake 0.000476
[773/5000][70/535][79563] Loss_D: -0.023893 Loss_G: -0.007701 Loss_D_real: -0.006059 Loss_D_fake 0.017834
[773/5000][75/535][79564] Loss_D: -0.024350 Loss_G: 0.024004 Loss_D_real: -0.032704 Loss_D_fake -0.008354
[773/5000][80/535][79565] Loss_D: -0.025375 Loss_G: 0.023147 Loss_D_real: -0.031811 Loss_D_fake -0.006435
[773/5000][85/535][79566] Loss_D: -0.023274 Loss_G: 0.033305 Loss_D_real: -0.035640 Loss_D_fake -0.012366
[773/5000][90/535][79567] Loss_D: -0.024312 Loss_G: 0.003523 Loss_D_real: -0.017411 Loss_D_fake 0.006900
[773/5000][95/535][79568] Loss_D: -0.023741 Loss_G: -0.003977 Loss_D_real: 0.002418 Loss_D_fake 0.026159
[773/5000][100/535][79569] Loss_D: -0.022830 Loss_G: 0.015299 Loss_D_real: -0.017940 Loss_D_fake 0.004890
[773/5000][105/535][79570] Loss_D: -0.022385 Loss_G: 0.001442 Loss_D_real: -0.015119 Loss_D_fake 0.007266
[773/5000][110/535][79571] Loss_D: -0.023436 Loss_G: -0.004113 Loss_D_real: -0.009086 Loss_D_fake 0.014350
[773/5000][115/535][79572] Loss_D: -0.022959 Loss_G: 0.005517 Loss_D_real: -0.008435 Loss_D_fake 0.014524
[773/5000][120/535][79573] Loss_D: -0.023432 Loss_G: 0.012061 Loss_D_real: -0.014680 Loss_D_fake 0.008752
[773/5000][125/535][79574] Loss_D: -0.024378 Loss_G: 0.001108 Loss_D_real: -0.020202 Loss_D_fake 0.004176
[773/5000][130/535][79575] Loss_D: -0.023253 Loss_G: -0.002467 Loss_D_real: -0.003787 Loss_D_fake 0.019467
[773/5000][135/535][79576] Loss_D: -0.023686 Loss_G: 0.004460 Loss_D_real: -0.002322 Loss_D_fake 0.021365
[773/5000][140/535][79577] Loss_D: -0.023990 Loss_G: 0.004894 Loss_D_real: -0.016067 Loss_D_fake 0.007924
[773/5000][145/535][79578] Loss_D: -0.023961 Loss_G: -0.006001 Loss_D_real: -0.020699 Loss_D_fake 0.003261
[773/5000][150/535][79579] Loss_D: -0.021940 Loss_G: 0.015378 Loss_D_real: -0.021469 Loss_D_fake 0.000471
[773/5000][155/535][79580] Loss_D: -0.024174 Loss_G: 0.002867 Loss_D_real: -0.016139 Loss_D_fake 0.008035
[773/5000][160/535][79581] Loss_D: -0.023611 Loss_G: 0.014620 Loss_D_real: -0.025675 Loss_D_fake -0.002064
[773/5000][165/535][79582] Loss_D: -0.023558 Loss_G: 0.021423 Loss_D_real: -0.021575 Loss_D_fake 0.001983
[773/5000][170/535][79583] Loss_D: -0.023649 Loss_G: 0.007431 Loss_D_real: -0.014576 Loss_D_fake 0.009074
[773/5000][175/535][79584] Loss_D: -0.023031 Loss_G: 0.017845 Loss_D_real: -0.019396 Loss_D_fake 0.003636
[773/5000][180/535][79585] Loss_D: -0.024045 Loss_G: -0.001143 Loss_D_real: -0.009819 Loss_D_fake 0.014226
[773/5000][185/535][79586] Loss_D: -0.023867 Loss_G: 0.020295 Loss_D_real: -0.022358 Loss_D_fake 0.001509
[773/5000][190/535][79587] Loss_D: -0.024552 Loss_G: 0.019641 Loss_D_real: -0.023862 Loss_D_fake 0.000690
[773/5000][195/535][79588] Loss_D: -0.023573 Loss_G: -0.005652 Loss_D_real: -0.004299 Loss_D_fake 0.019273
[773/5000][200/535][79589] Loss_D: -0.023010 Loss_G: 0.017039 Loss_D_real: -0.027869 Loss_D_fake -0.004860
[773/5000][205/535][79590] Loss_D: -0.026117 Loss_G: 0.015662 Loss_D_real: -0.029286 Loss_D_fake -0.003169
[773/5000][210/535][79591] Loss_D: -0.025093 Loss_G: 0.005254 Loss_D_real: -0.013846 Loss_D_fake 0.011247
[773/5000][215/535][79592] Loss_D: -0.022102 Loss_G: 0.017831 Loss_D_real: -0.034301 Loss_D_fake -0.012198
[773/5000][220/535][79593] Loss_D: -0.024700 Loss_G: 0.018357 Loss_D_real: -0.018916 Loss_D_fake 0.005784
[773/5000][225/535][79594] Loss_D: -0.024237 Loss_G: 0.015459 Loss_D_real: -0.022456 Loss_D_fake 0.001781
[773/5000][230/535][79595] Loss_D: -0.024055 Loss_G: 0.013073 Loss_D_real: -0.016670 Loss_D_fake 0.007385
[773/5000][235/535][79596] Loss_D: -0.023772 Loss_G: 0.017707 Loss_D_real: -0.016177 Loss_D_fake 0.007595
[773/5000][240/535][79597] Loss_D: -0.023694 Loss_G: 0.011372 Loss_D_real: -0.018698 Loss_D_fake 0.004997
[773/5000][245/535][79598] Loss_D: -0.023287 Loss_G: 0.023436 Loss_D_real: -0.031632 Loss_D_fake -0.008345
[773/5000][250/535][79599] Loss_D: -0.024286 Loss_G: 0.001515 Loss_D_real: -0.015201 Loss_D_fake 0.009084
[773/5000][255/535][79600] Loss_D: -0.023768 Loss_G: 0.013137 Loss_D_real: -0.014037 Loss_D_fake 0.009731
[773/5000][260/535][79601] Loss_D: -0.023659 Loss_G: 0.008068 Loss_D_real: -0.017884 Loss_D_fake 0.005774
[773/5000][265/535][79602] Loss_D: -0.023243 Loss_G: 0.003718 Loss_D_real: -0.013177 Loss_D_fake 0.010066
[773/5000][270/535][79603] Loss_D: -0.025342 Loss_G: 0.022326 Loss_D_real: -0.021317 Loss_D_fake 0.004025
[773/5000][275/535][79604] Loss_D: -0.024590 Loss_G: 0.014721 Loss_D_real: -0.027123 Loss_D_fake -0.002533
[773/5000][280/535][79605] Loss_D: -0.024057 Loss_G: 0.013132 Loss_D_real: -0.020138 Loss_D_fake 0.003920
[773/5000][285/535][79606] Loss_D: -0.023287 Loss_G: 0.016820 Loss_D_real: -0.026280 Loss_D_fake -0.002993
[773/5000][290/535][79607] Loss_D: -0.023640 Loss_G: 0.008962 Loss_D_real: -0.016478 Loss_D_fake 0.007162
[773/5000][295/535][79608] Loss_D: -0.024510 Loss_G: 0.012402 Loss_D_real: -0.010976 Loss_D_fake 0.013534
[773/5000][300/535][79609] Loss_D: -0.022933 Loss_G: -0.011678 Loss_D_real: -0.009252 Loss_D_fake 0.013681
[773/5000][305/535][79610] Loss_D: -0.024289 Loss_G: 0.022126 Loss_D_real: -0.022062 Loss_D_fake 0.002227
[773/5000][310/535][79611] Loss_D: -0.023997 Loss_G: 0.006512 Loss_D_real: -0.016174 Loss_D_fake 0.007823
[773/5000][315/535][79612] Loss_D: -0.022613 Loss_G: 0.015136 Loss_D_real: -0.031046 Loss_D_fake -0.008433
[773/5000][320/535][79613] Loss_D: -0.023522 Loss_G: -0.004505 Loss_D_real: -0.011727 Loss_D_fake 0.011795
[773/5000][325/535][79614] Loss_D: -0.023855 Loss_G: 0.006999 Loss_D_real: -0.013015 Loss_D_fake 0.010841
[773/5000][330/535][79615] Loss_D: -0.024184 Loss_G: 0.016879 Loss_D_real: -0.031145 Loss_D_fake -0.006962
[773/5000][335/535][79616] Loss_D: -0.022855 Loss_G: 0.022613 Loss_D_real: -0.022625 Loss_D_fake 0.000230
[773/5000][340/535][79617] Loss_D: -0.024312 Loss_G: 0.004856 Loss_D_real: -0.019561 Loss_D_fake 0.004751
[773/5000][345/535][79618] Loss_D: -0.024369 Loss_G: -0.003893 Loss_D_real: -0.014331 Loss_D_fake 0.010038
[773/5000][350/535][79619] Loss_D: -0.023591 Loss_G: 0.008577 Loss_D_real: -0.020062 Loss_D_fake 0.003530
[773/5000][355/535][79620] Loss_D: -0.025213 Loss_G: -0.002302 Loss_D_real: -0.012116 Loss_D_fake 0.013097
[773/5000][360/535][79621] Loss_D: -0.023404 Loss_G: 0.035372 Loss_D_real: -0.032700 Loss_D_fake -0.009296
[773/5000][365/535][79622] Loss_D: -0.022419 Loss_G: 0.021333 Loss_D_real: -0.024005 Loss_D_fake -0.001586
[773/5000][370/535][79623] Loss_D: -0.024809 Loss_G: 0.002395 Loss_D_real: -0.017008 Loss_D_fake 0.007800
[773/5000][375/535][79624] Loss_D: -0.023632 Loss_G: -0.005075 Loss_D_real: -0.011432 Loss_D_fake 0.012200
[773/5000][380/535][79625] Loss_D: -0.022068 Loss_G: 0.032737 Loss_D_real: -0.037927 Loss_D_fake -0.015859
[773/5000][385/535][79626] Loss_D: -0.025025 Loss_G: -0.008914 Loss_D_real: -0.007894 Loss_D_fake 0.017131
[773/5000][390/535][79627] Loss_D: -0.022922 Loss_G: 0.005981 Loss_D_real: -0.017643 Loss_D_fake 0.005279
[773/5000][395/535][79628] Loss_D: -0.024412 Loss_G: 0.015318 Loss_D_real: -0.017281 Loss_D_fake 0.007131
[773/5000][400/535][79629] Loss_D: -0.023467 Loss_G: 0.012884 Loss_D_real: -0.023013 Loss_D_fake 0.000454
[773/5000][405/535][79630] Loss_D: -0.024327 Loss_G: 0.009806 Loss_D_real: -0.029438 Loss_D_fake -0.005110
[773/5000][410/535][79631] Loss_D: -0.024324 Loss_G: 0.003717 Loss_D_real: -0.012493 Loss_D_fake 0.011831
[773/5000][415/535][79632] Loss_D: -0.022603 Loss_G: 0.010951 Loss_D_real: -0.013813 Loss_D_fake 0.008791
[773/5000][420/535][79633] Loss_D: -0.023493 Loss_G: 0.011970 Loss_D_real: -0.022776 Loss_D_fake 0.000717
[773/5000][425/535][79634] Loss_D: -0.025563 Loss_G: 0.005613 Loss_D_real: -0.016473 Loss_D_fake 0.009090
[773/5000][430/535][79635] Loss_D: -0.022031 Loss_G: -0.020841 Loss_D_real: 0.001887 Loss_D_fake 0.023918
[773/5000][435/535][79636] Loss_D: -0.021660 Loss_G: -0.003625 Loss_D_real: -0.019816 Loss_D_fake 0.001845
[773/5000][440/535][79637] Loss_D: -0.023839 Loss_G: 0.030067 Loss_D_real: -0.031693 Loss_D_fake -0.007854
[773/5000][445/535][79638] Loss_D: -0.024298 Loss_G: 0.018876 Loss_D_real: -0.026628 Loss_D_fake -0.002330
[773/5000][450/535][79639] Loss_D: -0.023354 Loss_G: 0.011725 Loss_D_real: -0.013405 Loss_D_fake 0.009950
[773/5000][455/535][79640] Loss_D: -0.024593 Loss_G: 0.004453 Loss_D_real: -0.022147 Loss_D_fake 0.002446
[773/5000][460/535][79641] Loss_D: -0.023677 Loss_G: 0.010509 Loss_D_real: -0.024027 Loss_D_fake -0.000350
[773/5000][465/535][79642] Loss_D: -0.023775 Loss_G: 0.008484 Loss_D_real: -0.017700 Loss_D_fake 0.006075
[773/5000][470/535][79643] Loss_D: -0.023468 Loss_G: 0.032148 Loss_D_real: -0.024901 Loss_D_fake -0.001433
[773/5000][475/535][79644] Loss_D: -0.023516 Loss_G: 0.016420 Loss_D_real: -0.013029 Loss_D_fake 0.010487
[773/5000][480/535][79645] Loss_D: -0.023163 Loss_G: 0.003317 Loss_D_real: -0.016089 Loss_D_fake 0.007073
[773/5000][485/535][79646] Loss_D: -0.023272 Loss_G: 0.022365 Loss_D_real: -0.028755 Loss_D_fake -0.005483
[773/5000][490/535][79647] Loss_D: -0.024036 Loss_G: -0.002311 Loss_D_real: -0.009773 Loss_D_fake 0.014262
[773/5000][495/535][79648] Loss_D: -0.023167 Loss_G: 0.015670 Loss_D_real: -0.033324 Loss_D_fake -0.010156
[773/5000][500/535][79649] Loss_D: -0.024146 Loss_G: 0.006245 Loss_D_real: -0.013096 Loss_D_fake 0.011050
[773/5000][505/535][79650] Loss_D: -0.024162 Loss_G: 0.016942 Loss_D_real: -0.019084 Loss_D_fake 0.005078
[773/5000][510/535][79651] Loss_D: -0.024148 Loss_G: 0.016681 Loss_D_real: -0.019624 Loss_D_fake 0.004525
[773/5000][515/535][79652] Loss_D: -0.023495 Loss_G: 0.003129 Loss_D_real: -0.010066 Loss_D_fake 0.013430
[773/5000][520/535][79653] Loss_D: -0.024582 Loss_G: 0.006302 Loss_D_real: -0.015478 Loss_D_fake 0.009104
[773/5000][525/535][79654] Loss_D: -0.023667 Loss_G: 0.001769 Loss_D_real: -0.013164 Loss_D_fake 0.010503
[773/5000][530/535][79655] Loss_D: -0.024101 Loss_G: 0.023271 Loss_D_real: -0.026848 Loss_D_fake -0.002747
[773/5000][535/535][79656] Loss_D: -0.023396 Loss_G: -0.018459 Loss_D_real: -0.016026 Loss_D_fake 0.007370
[774/5000][5/535][79657] Loss_D: -0.023902 Loss_G: 0.004201 Loss_D_real: -0.019224 Loss_D_fake 0.004678
[774/5000][10/535][79658] Loss_D: -0.024046 Loss_G: -0.000722 Loss_D_real: -0.002593 Loss_D_fake 0.021454
[774/5000][15/535][79659] Loss_D: -0.023026 Loss_G: 0.004667 Loss_D_real: -0.015204 Loss_D_fake 0.007821
[774/5000][20/535][79660] Loss_D: -0.024317 Loss_G: 0.011223 Loss_D_real: -0.022316 Loss_D_fake 0.002001
[774/5000][25/535][79661] Loss_D: -0.023449 Loss_G: 0.022720 Loss_D_real: -0.028529 Loss_D_fake -0.005081
[774/5000][30/535][79662] Loss_D: -0.023049 Loss_G: 0.009120 Loss_D_real: -0.022851 Loss_D_fake 0.000197
[774/5000][35/535][79663] Loss_D: -0.023802 Loss_G: -0.001822 Loss_D_real: -0.013735 Loss_D_fake 0.010066
[774/5000][40/535][79664] Loss_D: -0.023708 Loss_G: -0.007586 Loss_D_real: 0.000901 Loss_D_fake 0.024609
[774/5000][45/535][79665] Loss_D: -0.023490 Loss_G: 0.025883 Loss_D_real: -0.024888 Loss_D_fake -0.001398
[774/5000][50/535][79666] Loss_D: -0.024769 Loss_G: -0.005313 Loss_D_real: -0.010070 Loss_D_fake 0.014699
[774/5000][55/535][79667] Loss_D: -0.024550 Loss_G: 0.017319 Loss_D_real: -0.015401 Loss_D_fake 0.009149
[774/5000][60/535][79668] Loss_D: -0.024740 Loss_G: 0.008033 Loss_D_real: -0.016089 Loss_D_fake 0.008651
[774/5000][65/535][79669] Loss_D: -0.023500 Loss_G: 0.006967 Loss_D_real: -0.020444 Loss_D_fake 0.003055
[774/5000][70/535][79670] Loss_D: -0.024083 Loss_G: 0.011846 Loss_D_real: -0.012284 Loss_D_fake 0.011799
[774/5000][75/535][79671] Loss_D: -0.023378 Loss_G: 0.011543 Loss_D_real: -0.016844 Loss_D_fake 0.006535
[774/5000][80/535][79672] Loss_D: -0.024751 Loss_G: 0.003011 Loss_D_real: -0.019089 Loss_D_fake 0.005662
[774/5000][85/535][79673] Loss_D: -0.022896 Loss_G: -0.007094 Loss_D_real: -0.010385 Loss_D_fake 0.012511
[774/5000][90/535][79674] Loss_D: -0.023424 Loss_G: 0.016784 Loss_D_real: -0.023914 Loss_D_fake -0.000490
[774/5000][95/535][79675] Loss_D: -0.024108 Loss_G: -0.009420 Loss_D_real: -0.014996 Loss_D_fake 0.009112
[774/5000][100/535][79676] Loss_D: -0.021929 Loss_G: -0.009008 Loss_D_real: -0.018034 Loss_D_fake 0.003896
[774/5000][105/535][79677] Loss_D: -0.024450 Loss_G: 0.009983 Loss_D_real: -0.016264 Loss_D_fake 0.008186
[774/5000][110/535][79678] Loss_D: -0.023499 Loss_G: 0.013615 Loss_D_real: -0.025099 Loss_D_fake -0.001600
[774/5000][115/535][79679] Loss_D: -0.022962 Loss_G: -0.011491 Loss_D_real: -0.008006 Loss_D_fake 0.014956
[774/5000][120/535][79680] Loss_D: -0.023893 Loss_G: 0.000942 Loss_D_real: -0.007644 Loss_D_fake 0.016248
[774/5000][125/535][79681] Loss_D: -0.022231 Loss_G: -0.001674 Loss_D_real: -0.019855 Loss_D_fake 0.002377
[774/5000][130/535][79682] Loss_D: -0.022067 Loss_G: 0.018195 Loss_D_real: -0.026250 Loss_D_fake -0.004183
[774/5000][135/535][79683] Loss_D: -0.022425 Loss_G: 0.010146 Loss_D_real: -0.028110 Loss_D_fake -0.005685
[774/5000][140/535][79684] Loss_D: -0.024744 Loss_G: 0.008750 Loss_D_real: -0.028869 Loss_D_fake -0.004126
[774/5000][145/535][79685] Loss_D: -0.023194 Loss_G: -0.001818 Loss_D_real: -0.013730 Loss_D_fake 0.009464
[774/5000][150/535][79686] Loss_D: -0.022738 Loss_G: 0.001333 Loss_D_real: -0.013871 Loss_D_fake 0.008867
[774/5000][155/535][79687] Loss_D: -0.025006 Loss_G: -0.005455 Loss_D_real: -0.015841 Loss_D_fake 0.009165
[774/5000][160/535][79688] Loss_D: -0.023241 Loss_G: 0.014234 Loss_D_real: -0.030337 Loss_D_fake -0.007096
[774/5000][165/535][79689] Loss_D: -0.023198 Loss_G: -0.004604 Loss_D_real: -0.007547 Loss_D_fake 0.015651
[774/5000][170/535][79690] Loss_D: -0.024272 Loss_G: 0.014331 Loss_D_real: -0.013883 Loss_D_fake 0.010389
[774/5000][175/535][79691] Loss_D: -0.023946 Loss_G: -0.003637 Loss_D_real: -0.008227 Loss_D_fake 0.015719
[774/5000][180/535][79692] Loss_D: -0.023226 Loss_G: 0.031118 Loss_D_real: -0.032838 Loss_D_fake -0.009612
[774/5000][185/535][79693] Loss_D: -0.024344 Loss_G: 0.017900 Loss_D_real: -0.020743 Loss_D_fake 0.003602
[774/5000][190/535][79694] Loss_D: -0.024114 Loss_G: 0.023675 Loss_D_real: -0.023593 Loss_D_fake 0.000521
[774/5000][195/535][79695] Loss_D: -0.023859 Loss_G: 0.002894 Loss_D_real: -0.015509 Loss_D_fake 0.008350
[774/5000][200/535][79696] Loss_D: -0.025086 Loss_G: 0.020327 Loss_D_real: -0.025057 Loss_D_fake 0.000029
[774/5000][205/535][79697] Loss_D: -0.024481 Loss_G: 0.009761 Loss_D_real: -0.017329 Loss_D_fake 0.007152
[774/5000][210/535][79698] Loss_D: -0.023001 Loss_G: -0.023140 Loss_D_real: 0.005933 Loss_D_fake 0.028934
[774/5000][215/535][79699] Loss_D: -0.024935 Loss_G: 0.016095 Loss_D_real: -0.022309 Loss_D_fake 0.002626
[774/5000][220/535][79700] Loss_D: -0.023507 Loss_G: 0.026291 Loss_D_real: -0.039100 Loss_D_fake -0.015592
[774/5000][225/535][79701] Loss_D: -0.023865 Loss_G: 0.017885 Loss_D_real: -0.025667 Loss_D_fake -0.001802
[774/5000][230/535][79702] Loss_D: -0.024280 Loss_G: 0.007301 Loss_D_real: -0.021787 Loss_D_fake 0.002493
[774/5000][235/535][79703] Loss_D: -0.024351 Loss_G: 0.014939 Loss_D_real: -0.022747 Loss_D_fake 0.001604
[774/5000][240/535][79704] Loss_D: -0.024214 Loss_G: 0.018647 Loss_D_real: -0.028552 Loss_D_fake -0.004338
[774/5000][245/535][79705] Loss_D: -0.023663 Loss_G: -0.003350 Loss_D_real: -0.020097 Loss_D_fake 0.003567
[774/5000][250/535][79706] Loss_D: -0.023953 Loss_G: 0.016322 Loss_D_real: -0.016354 Loss_D_fake 0.007598
[774/5000][255/535][79707] Loss_D: -0.025383 Loss_G: -0.014367 Loss_D_real: -0.006582 Loss_D_fake 0.018802
[774/5000][260/535][79708] Loss_D: -0.024174 Loss_G: 0.005265 Loss_D_real: -0.020243 Loss_D_fake 0.003931
[774/5000][265/535][79709] Loss_D: -0.024760 Loss_G: 0.002022 Loss_D_real: -0.014710 Loss_D_fake 0.010050
[774/5000][270/535][79710] Loss_D: -0.024405 Loss_G: 0.025331 Loss_D_real: -0.022095 Loss_D_fake 0.002311
[774/5000][275/535][79711] Loss_D: -0.024410 Loss_G: -0.004873 Loss_D_real: -0.003393 Loss_D_fake 0.021017
[774/5000][280/535][79712] Loss_D: -0.023810 Loss_G: 0.016616 Loss_D_real: -0.012973 Loss_D_fake 0.010837
[774/5000][285/535][79713] Loss_D: -0.025046 Loss_G: 0.013929 Loss_D_real: -0.028848 Loss_D_fake -0.003802
[774/5000][290/535][79714] Loss_D: -0.026366 Loss_G: 0.003719 Loss_D_real: -0.008780 Loss_D_fake 0.017586
[774/5000][295/535][79715] Loss_D: -0.024583 Loss_G: 0.015037 Loss_D_real: -0.028462 Loss_D_fake -0.003879
[774/5000][300/535][79716] Loss_D: -0.023097 Loss_G: 0.013190 Loss_D_real: -0.029247 Loss_D_fake -0.006149
[774/5000][305/535][79717] Loss_D: -0.024417 Loss_G: 0.020250 Loss_D_real: -0.029355 Loss_D_fake -0.004939
[774/5000][310/535][79718] Loss_D: -0.024058 Loss_G: 0.014252 Loss_D_real: -0.032486 Loss_D_fake -0.008428
[774/5000][315/535][79719] Loss_D: -0.022926 Loss_G: 0.023753 Loss_D_real: -0.029660 Loss_D_fake -0.006735
[774/5000][320/535][79720] Loss_D: -0.024514 Loss_G: 0.002642 Loss_D_real: -0.011275 Loss_D_fake 0.013240
[774/5000][325/535][79721] Loss_D: -0.024492 Loss_G: 0.003560 Loss_D_real: -0.013324 Loss_D_fake 0.011168
[774/5000][330/535][79722] Loss_D: -0.024118 Loss_G: 0.017198 Loss_D_real: -0.017811 Loss_D_fake 0.006307
[774/5000][335/535][79723] Loss_D: -0.024173 Loss_G: 0.004478 Loss_D_real: -0.002468 Loss_D_fake 0.021706
[774/5000][340/535][79724] Loss_D: -0.023977 Loss_G: 0.013987 Loss_D_real: -0.019353 Loss_D_fake 0.004624
[774/5000][345/535][79725] Loss_D: -0.023465 Loss_G: 0.021261 Loss_D_real: -0.026293 Loss_D_fake -0.002828
[774/5000][350/535][79726] Loss_D: -0.022522 Loss_G: -0.001237 Loss_D_real: -0.001380 Loss_D_fake 0.021142
[774/5000][355/535][79727] Loss_D: -0.023692 Loss_G: 0.007725 Loss_D_real: -0.027801 Loss_D_fake -0.004109
[774/5000][360/535][79728] Loss_D: -0.023789 Loss_G: 0.010516 Loss_D_real: -0.024621 Loss_D_fake -0.000832
[774/5000][365/535][79729] Loss_D: -0.022758 Loss_G: 0.020265 Loss_D_real: -0.029125 Loss_D_fake -0.006367
[774/5000][370/535][79730] Loss_D: -0.022987 Loss_G: 0.009457 Loss_D_real: -0.020136 Loss_D_fake 0.002851
[774/5000][375/535][79731] Loss_D: -0.023502 Loss_G: 0.002913 Loss_D_real: -0.011293 Loss_D_fake 0.012209
[774/5000][380/535][79732] Loss_D: -0.024106 Loss_G: 0.010442 Loss_D_real: -0.020998 Loss_D_fake 0.003108
[774/5000][385/535][79733] Loss_D: -0.023461 Loss_G: 0.000122 Loss_D_real: -0.025288 Loss_D_fake -0.001827
[774/5000][390/535][79734] Loss_D: -0.024263 Loss_G: 0.013563 Loss_D_real: -0.017514 Loss_D_fake 0.006749
[774/5000][395/535][79735] Loss_D: -0.023213 Loss_G: 0.001974 Loss_D_real: -0.013759 Loss_D_fake 0.009454
[774/5000][400/535][79736] Loss_D: -0.023025 Loss_G: 0.009787 Loss_D_real: -0.020379 Loss_D_fake 0.002646
[774/5000][405/535][79737] Loss_D: -0.022721 Loss_G: 0.022117 Loss_D_real: -0.034788 Loss_D_fake -0.012067
[774/5000][410/535][79738] Loss_D: -0.023801 Loss_G: 0.005940 Loss_D_real: -0.020589 Loss_D_fake 0.003212
[774/5000][415/535][79739] Loss_D: -0.024061 Loss_G: 0.017738 Loss_D_real: -0.016499 Loss_D_fake 0.007563
[774/5000][420/535][79740] Loss_D: -0.023639 Loss_G: 0.009514 Loss_D_real: -0.021927 Loss_D_fake 0.001712
[774/5000][425/535][79741] Loss_D: -0.023349 Loss_G: 0.022919 Loss_D_real: -0.025189 Loss_D_fake -0.001840
[774/5000][430/535][79742] Loss_D: -0.024665 Loss_G: 0.024286 Loss_D_real: -0.032552 Loss_D_fake -0.007887
[774/5000][435/535][79743] Loss_D: -0.023712 Loss_G: 0.010866 Loss_D_real: -0.008130 Loss_D_fake 0.015581
[774/5000][440/535][79744] Loss_D: -0.022882 Loss_G: 0.000987 Loss_D_real: -0.010885 Loss_D_fake 0.011997
[774/5000][445/535][79745] Loss_D: -0.023995 Loss_G: 0.012157 Loss_D_real: -0.021160 Loss_D_fake 0.002835
[774/5000][450/535][79746] Loss_D: -0.023765 Loss_G: 0.000005 Loss_D_real: -0.020500 Loss_D_fake 0.003265
[774/5000][455/535][79747] Loss_D: -0.024608 Loss_G: -0.010101 Loss_D_real: -0.004200 Loss_D_fake 0.020408
[774/5000][460/535][79748] Loss_D: -0.023740 Loss_G: 0.024479 Loss_D_real: -0.035498 Loss_D_fake -0.011758
[774/5000][465/535][79749] Loss_D: -0.022365 Loss_G: 0.018817 Loss_D_real: -0.026208 Loss_D_fake -0.003843
[774/5000][470/535][79750] Loss_D: -0.025585 Loss_G: 0.004428 Loss_D_real: -0.011868 Loss_D_fake 0.013716
[774/5000][475/535][79751] Loss_D: -0.024568 Loss_G: 0.027771 Loss_D_real: -0.025032 Loss_D_fake -0.000464
[774/5000][480/535][79752] Loss_D: -0.023451 Loss_G: -0.012018 Loss_D_real: 0.001367 Loss_D_fake 0.024818
[774/5000][485/535][79753] Loss_D: -0.023252 Loss_G: 0.010645 Loss_D_real: -0.021261 Loss_D_fake 0.001991
[774/5000][490/535][79754] Loss_D: -0.023541 Loss_G: 0.032032 Loss_D_real: -0.029224 Loss_D_fake -0.005682
[774/5000][495/535][79755] Loss_D: -0.023455 Loss_G: 0.022614 Loss_D_real: -0.034347 Loss_D_fake -0.010892
[774/5000][500/535][79756] Loss_D: -0.025227 Loss_G: -0.001785 Loss_D_real: -0.023400 Loss_D_fake 0.001827
[774/5000][505/535][79757] Loss_D: -0.023585 Loss_G: -0.001103 Loss_D_real: -0.003970 Loss_D_fake 0.019614
[774/5000][510/535][79758] Loss_D: -0.023745 Loss_G: 0.005650 Loss_D_real: -0.011527 Loss_D_fake 0.012218
[774/5000][515/535][79759] Loss_D: -0.022983 Loss_G: 0.010222 Loss_D_real: -0.018095 Loss_D_fake 0.004888
[774/5000][520/535][79760] Loss_D: -0.024237 Loss_G: 0.008971 Loss_D_real: -0.022857 Loss_D_fake 0.001380
[774/5000][525/535][79761] Loss_D: -0.022005 Loss_G: -0.001716 Loss_D_real: -0.009590 Loss_D_fake 0.012415
[774/5000][530/535][79762] Loss_D: -0.022362 Loss_G: 0.021084 Loss_D_real: -0.024328 Loss_D_fake -0.001966
[774/5000][535/535][79763] Loss_D: -0.026692 Loss_G: 0.009623 Loss_D_real: -0.024931 Loss_D_fake 0.001761
[775/5000][5/535][79764] Loss_D: -0.025737 Loss_G: 0.000423 Loss_D_real: -0.020659 Loss_D_fake 0.005077
[775/5000][10/535][79765] Loss_D: -0.023808 Loss_G: 0.013966 Loss_D_real: -0.019045 Loss_D_fake 0.004763
[775/5000][15/535][79766] Loss_D: -0.025680 Loss_G: -0.000386 Loss_D_real: -0.008511 Loss_D_fake 0.017169
[775/5000][20/535][79767] Loss_D: -0.022775 Loss_G: 0.023705 Loss_D_real: -0.020473 Loss_D_fake 0.002303
[775/5000][25/535][79768] Loss_D: -0.025284 Loss_G: -0.000467 Loss_D_real: -0.017412 Loss_D_fake 0.007872
[775/5000][30/535][79769] Loss_D: -0.025035 Loss_G: 0.009990 Loss_D_real: -0.019113 Loss_D_fake 0.005922
[775/5000][35/535][79770] Loss_D: -0.020937 Loss_G: 0.021946 Loss_D_real: -0.039021 Loss_D_fake -0.018084
[775/5000][40/535][79771] Loss_D: -0.024423 Loss_G: -0.004892 Loss_D_real: -0.011566 Loss_D_fake 0.012858
[775/5000][45/535][79772] Loss_D: -0.025524 Loss_G: 0.011231 Loss_D_real: -0.013464 Loss_D_fake 0.012060
[775/5000][50/535][79773] Loss_D: -0.023837 Loss_G: -0.002975 Loss_D_real: -0.012761 Loss_D_fake 0.011076
[775/5000][55/535][79774] Loss_D: -0.023262 Loss_G: 0.030099 Loss_D_real: -0.025917 Loss_D_fake -0.002656
[775/5000][60/535][79775] Loss_D: -0.023609 Loss_G: 0.012973 Loss_D_real: -0.022425 Loss_D_fake 0.001184
[775/5000][65/535][79776] Loss_D: -0.025070 Loss_G: 0.002716 Loss_D_real: -0.005616 Loss_D_fake 0.019454
[775/5000][70/535][79777] Loss_D: -0.022980 Loss_G: 0.009286 Loss_D_real: -0.026767 Loss_D_fake -0.003787
[775/5000][75/535][79778] Loss_D: -0.025138 Loss_G: 0.008150 Loss_D_real: -0.017160 Loss_D_fake 0.007979
[775/5000][80/535][79779] Loss_D: -0.024773 Loss_G: 0.011594 Loss_D_real: -0.010589 Loss_D_fake 0.014183
[775/5000][85/535][79780] Loss_D: -0.022875 Loss_G: 0.036671 Loss_D_real: -0.035903 Loss_D_fake -0.013028
[775/5000][90/535][79781] Loss_D: -0.022604 Loss_G: -0.010298 Loss_D_real: -0.007627 Loss_D_fake 0.014977
[775/5000][95/535][79782] Loss_D: -0.023216 Loss_G: 0.023068 Loss_D_real: -0.028155 Loss_D_fake -0.004939
[775/5000][100/535][79783] Loss_D: -0.024945 Loss_G: 0.013900 Loss_D_real: -0.013893 Loss_D_fake 0.011052
[775/5000][105/535][79784] Loss_D: -0.024322 Loss_G: -0.005701 Loss_D_real: -0.004758 Loss_D_fake 0.019564
[775/5000][110/535][79785] Loss_D: -0.023127 Loss_G: -0.019927 Loss_D_real: -0.001632 Loss_D_fake 0.021495
[775/5000][115/535][79786] Loss_D: -0.023375 Loss_G: 0.015139 Loss_D_real: -0.019252 Loss_D_fake 0.004123
[775/5000][120/535][79787] Loss_D: -0.024264 Loss_G: 0.000313 Loss_D_real: -0.013283 Loss_D_fake 0.010981
[775/5000][125/535][79788] Loss_D: -0.025571 Loss_G: 0.028785 Loss_D_real: -0.016818 Loss_D_fake 0.008753
[775/5000][130/535][79789] Loss_D: -0.022098 Loss_G: 0.002986 Loss_D_real: -0.019323 Loss_D_fake 0.002775
[775/5000][135/535][79790] Loss_D: -0.024282 Loss_G: 0.008481 Loss_D_real: -0.018145 Loss_D_fake 0.006136
[775/5000][140/535][79791] Loss_D: -0.023950 Loss_G: 0.004445 Loss_D_real: -0.028259 Loss_D_fake -0.004310
[775/5000][145/535][79792] Loss_D: -0.024072 Loss_G: 0.030414 Loss_D_real: -0.027667 Loss_D_fake -0.003595
[775/5000][150/535][79793] Loss_D: -0.024015 Loss_G: 0.006836 Loss_D_real: -0.021252 Loss_D_fake 0.002763
[775/5000][155/535][79794] Loss_D: -0.023731 Loss_G: 0.004028 Loss_D_real: -0.013929 Loss_D_fake 0.009802
[775/5000][160/535][79795] Loss_D: -0.023697 Loss_G: 0.017839 Loss_D_real: -0.020984 Loss_D_fake 0.002712
[775/5000][165/535][79796] Loss_D: -0.023088 Loss_G: 0.009457 Loss_D_real: -0.014454 Loss_D_fake 0.008633
[775/5000][170/535][79797] Loss_D: -0.022678 Loss_G: 0.018314 Loss_D_real: -0.030640 Loss_D_fake -0.007962
[775/5000][175/535][79798] Loss_D: -0.023167 Loss_G: -0.004160 Loss_D_real: -0.000156 Loss_D_fake 0.023011
[775/5000][180/535][79799] Loss_D: -0.022977 Loss_G: 0.024301 Loss_D_real: -0.037424 Loss_D_fake -0.014447
[775/5000][185/535][79800] Loss_D: -0.022312 Loss_G: 0.016364 Loss_D_real: -0.018827 Loss_D_fake 0.003486
[775/5000][190/535][79801] Loss_D: -0.022988 Loss_G: -0.009650 Loss_D_real: -0.008461 Loss_D_fake 0.014527
[775/5000][195/535][79802] Loss_D: -0.022786 Loss_G: 0.006053 Loss_D_real: -0.017175 Loss_D_fake 0.005611
[775/5000][200/535][79803] Loss_D: -0.022874 Loss_G: 0.024183 Loss_D_real: -0.036575 Loss_D_fake -0.013701
[775/5000][205/535][79804] Loss_D: -0.023190 Loss_G: -0.010680 Loss_D_real: -0.008087 Loss_D_fake 0.015103
[775/5000][210/535][79805] Loss_D: -0.022921 Loss_G: 0.008848 Loss_D_real: -0.014792 Loss_D_fake 0.008129
[775/5000][215/535][79806] Loss_D: -0.024279 Loss_G: 0.017819 Loss_D_real: -0.029592 Loss_D_fake -0.005312
[775/5000][220/535][79807] Loss_D: -0.025458 Loss_G: -0.001723 Loss_D_real: -0.014018 Loss_D_fake 0.011440
[775/5000][225/535][79808] Loss_D: -0.023600 Loss_G: -0.007055 Loss_D_real: -0.014766 Loss_D_fake 0.008834
[775/5000][230/535][79809] Loss_D: -0.022513 Loss_G: 0.025478 Loss_D_real: -0.024556 Loss_D_fake -0.002043
[775/5000][235/535][79810] Loss_D: -0.024097 Loss_G: 0.015584 Loss_D_real: -0.022582 Loss_D_fake 0.001515
[775/5000][240/535][79811] Loss_D: -0.025428 Loss_G: 0.016955 Loss_D_real: -0.015099 Loss_D_fake 0.010329
[775/5000][245/535][79812] Loss_D: -0.025166 Loss_G: 0.003138 Loss_D_real: -0.012281 Loss_D_fake 0.012884
[775/5000][250/535][79813] Loss_D: -0.024701 Loss_G: 0.006394 Loss_D_real: -0.016063 Loss_D_fake 0.008637
[775/5000][255/535][79814] Loss_D: -0.022927 Loss_G: 0.000277 Loss_D_real: -0.001442 Loss_D_fake 0.021485
[775/5000][260/535][79815] Loss_D: -0.023785 Loss_G: 0.004292 Loss_D_real: -0.020740 Loss_D_fake 0.003045
[775/5000][265/535][79816] Loss_D: -0.023394 Loss_G: 0.007037 Loss_D_real: -0.031310 Loss_D_fake -0.007916
[775/5000][270/535][79817] Loss_D: -0.024203 Loss_G: -0.009488 Loss_D_real: -0.010535 Loss_D_fake 0.013668
[775/5000][275/535][79818] Loss_D: -0.024260 Loss_G: 0.023819 Loss_D_real: -0.026345 Loss_D_fake -0.002085
[775/5000][280/535][79819] Loss_D: -0.023783 Loss_G: -0.006696 Loss_D_real: -0.006832 Loss_D_fake 0.016950
[775/5000][285/535][79820] Loss_D: -0.025488 Loss_G: 0.021763 Loss_D_real: -0.029668 Loss_D_fake -0.004180
[775/5000][290/535][79821] Loss_D: -0.025247 Loss_G: 0.000152 Loss_D_real: -0.016433 Loss_D_fake 0.008814
[775/5000][295/535][79822] Loss_D: -0.024719 Loss_G: 0.010961 Loss_D_real: -0.020867 Loss_D_fake 0.003852
[775/5000][300/535][79823] Loss_D: -0.024857 Loss_G: 0.007397 Loss_D_real: -0.022513 Loss_D_fake 0.002343
[775/5000][305/535][79824] Loss_D: -0.026041 Loss_G: 0.000131 Loss_D_real: -0.004021 Loss_D_fake 0.022020
[775/5000][310/535][79825] Loss_D: -0.024032 Loss_G: -0.003627 Loss_D_real: -0.012187 Loss_D_fake 0.011845
[775/5000][315/535][79826] Loss_D: -0.023444 Loss_G: 0.025995 Loss_D_real: -0.031507 Loss_D_fake -0.008062
[775/5000][320/535][79827] Loss_D: -0.022255 Loss_G: -0.010126 Loss_D_real: -0.000319 Loss_D_fake 0.021936
[775/5000][325/535][79828] Loss_D: -0.024402 Loss_G: 0.010710 Loss_D_real: -0.018626 Loss_D_fake 0.005776
[775/5000][330/535][79829] Loss_D: -0.023176 Loss_G: 0.011042 Loss_D_real: -0.013628 Loss_D_fake 0.009547
[775/5000][335/535][79830] Loss_D: -0.024338 Loss_G: -0.004941 Loss_D_real: -0.007827 Loss_D_fake 0.016510
[775/5000][340/535][79831] Loss_D: -0.023653 Loss_G: 0.004612 Loss_D_real: -0.015236 Loss_D_fake 0.008416
[775/5000][345/535][79832] Loss_D: -0.022241 Loss_G: -0.004345 Loss_D_real: -0.008024 Loss_D_fake 0.014217
[775/5000][350/535][79833] Loss_D: -0.023914 Loss_G: -0.008878 Loss_D_real: -0.001586 Loss_D_fake 0.022329
[775/5000][355/535][79834] Loss_D: -0.023749 Loss_G: 0.010962 Loss_D_real: -0.014236 Loss_D_fake 0.009513
[775/5000][360/535][79835] Loss_D: -0.023763 Loss_G: -0.003257 Loss_D_real: -0.011133 Loss_D_fake 0.012630
[775/5000][365/535][79836] Loss_D: -0.021989 Loss_G: 0.003077 Loss_D_real: -0.008384 Loss_D_fake 0.013605
[775/5000][370/535][79837] Loss_D: -0.022945 Loss_G: 0.010654 Loss_D_real: -0.024012 Loss_D_fake -0.001067
[775/5000][375/535][79838] Loss_D: -0.023642 Loss_G: 0.019543 Loss_D_real: -0.010807 Loss_D_fake 0.012836
[775/5000][380/535][79839] Loss_D: -0.023669 Loss_G: 0.017324 Loss_D_real: -0.019102 Loss_D_fake 0.004567
[775/5000][385/535][79840] Loss_D: -0.023256 Loss_G: 0.004638 Loss_D_real: -0.009286 Loss_D_fake 0.013971
[775/5000][390/535][79841] Loss_D: -0.022438 Loss_G: 0.022865 Loss_D_real: -0.033649 Loss_D_fake -0.011211
[775/5000][395/535][79842] Loss_D: -0.022862 Loss_G: 0.004218 Loss_D_real: -0.010019 Loss_D_fake 0.012843
[775/5000][400/535][79843] Loss_D: -0.023098 Loss_G: 0.018461 Loss_D_real: -0.020742 Loss_D_fake 0.002356
[775/5000][405/535][79844] Loss_D: -0.023480 Loss_G: 0.012474 Loss_D_real: -0.024390 Loss_D_fake -0.000910
[775/5000][410/535][79845] Loss_D: -0.023059 Loss_G: 0.008819 Loss_D_real: -0.020514 Loss_D_fake 0.002544
[775/5000][415/535][79846] Loss_D: -0.023576 Loss_G: 0.007773 Loss_D_real: -0.024220 Loss_D_fake -0.000645
[775/5000][420/535][79847] Loss_D: -0.022507 Loss_G: 0.007577 Loss_D_real: -0.017812 Loss_D_fake 0.004695
[775/5000][425/535][79848] Loss_D: -0.024803 Loss_G: 0.010916 Loss_D_real: -0.018091 Loss_D_fake 0.006712
[775/5000][430/535][79849] Loss_D: -0.024292 Loss_G: 0.014715 Loss_D_real: -0.007608 Loss_D_fake 0.016684
[775/5000][435/535][79850] Loss_D: -0.024160 Loss_G: 0.000446 Loss_D_real: -0.020856 Loss_D_fake 0.003304
[775/5000][440/535][79851] Loss_D: -0.023020 Loss_G: 0.019235 Loss_D_real: -0.028166 Loss_D_fake -0.005146
[775/5000][445/535][79852] Loss_D: -0.024013 Loss_G: 0.004845 Loss_D_real: -0.011004 Loss_D_fake 0.013009
[775/5000][450/535][79853] Loss_D: -0.024004 Loss_G: 0.003943 Loss_D_real: -0.018690 Loss_D_fake 0.005314
[775/5000][455/535][79854] Loss_D: -0.024565 Loss_G: -0.006561 Loss_D_real: -0.011404 Loss_D_fake 0.013161
[775/5000][460/535][79855] Loss_D: -0.023525 Loss_G: 0.014836 Loss_D_real: -0.020831 Loss_D_fake 0.002694
[775/5000][465/535][79856] Loss_D: -0.023255 Loss_G: 0.015416 Loss_D_real: -0.027256 Loss_D_fake -0.004002
[775/5000][470/535][79857] Loss_D: -0.023082 Loss_G: 0.000582 Loss_D_real: -0.008361 Loss_D_fake 0.014720
[775/5000][475/535][79858] Loss_D: -0.022219 Loss_G: 0.027051 Loss_D_real: -0.032864 Loss_D_fake -0.010645
[775/5000][480/535][79859] Loss_D: -0.023546 Loss_G: -0.002896 Loss_D_real: -0.018607 Loss_D_fake 0.004939
[775/5000][485/535][79860] Loss_D: -0.023601 Loss_G: 0.027569 Loss_D_real: -0.036288 Loss_D_fake -0.012687
[775/5000][490/535][79861] Loss_D: -0.023929 Loss_G: 0.013284 Loss_D_real: -0.021627 Loss_D_fake 0.002302
[775/5000][495/535][79862] Loss_D: -0.024029 Loss_G: -0.003826 Loss_D_real: -0.006554 Loss_D_fake 0.017475
[775/5000][500/535][79863] Loss_D: -0.023504 Loss_G: 0.011295 Loss_D_real: -0.011484 Loss_D_fake 0.012020
[775/5000][505/535][79864] Loss_D: -0.024359 Loss_G: -0.008378 Loss_D_real: -0.001355 Loss_D_fake 0.023004
[775/5000][510/535][79865] Loss_D: -0.023966 Loss_G: 0.010865 Loss_D_real: -0.028795 Loss_D_fake -0.004829
[775/5000][515/535][79866] Loss_D: -0.024604 Loss_G: 0.024184 Loss_D_real: -0.025038 Loss_D_fake -0.000434
[775/5000][520/535][79867] Loss_D: -0.023478 Loss_G: 0.024985 Loss_D_real: -0.029871 Loss_D_fake -0.006393
[775/5000][525/535][79868] Loss_D: -0.023444 Loss_G: 0.024443 Loss_D_real: -0.032954 Loss_D_fake -0.009509
[775/5000][530/535][79869] Loss_D: -0.024825 Loss_G: 0.008213 Loss_D_real: -0.017093 Loss_D_fake 0.007732
[775/5000][535/535][79870] Loss_D: -0.024974 Loss_G: 0.027458 Loss_D_real: -0.017488 Loss_D_fake 0.007485
[776/5000][5/535][79871] Loss_D: -0.025247 Loss_G: 0.005074 Loss_D_real: -0.017927 Loss_D_fake 0.007320
[776/5000][10/535][79872] Loss_D: -0.024524 Loss_G: 0.035902 Loss_D_real: -0.031016 Loss_D_fake -0.006493
[776/5000][15/535][79873] Loss_D: -0.022238 Loss_G: 0.027078 Loss_D_real: -0.035076 Loss_D_fake -0.012839
[776/5000][20/535][79874] Loss_D: -0.024390 Loss_G: 0.001294 Loss_D_real: -0.016716 Loss_D_fake 0.007674
[776/5000][25/535][79875] Loss_D: -0.025058 Loss_G: 0.000450 Loss_D_real: -0.016124 Loss_D_fake 0.008934
[776/5000][30/535][79876] Loss_D: -0.024231 Loss_G: 0.014857 Loss_D_real: -0.028511 Loss_D_fake -0.004280
[776/5000][35/535][79877] Loss_D: -0.024093 Loss_G: -0.000194 Loss_D_real: -0.014647 Loss_D_fake 0.009446
[776/5000][40/535][79878] Loss_D: -0.024525 Loss_G: -0.000697 Loss_D_real: -0.013084 Loss_D_fake 0.011441
[776/5000][45/535][79879] Loss_D: -0.024148 Loss_G: 0.004329 Loss_D_real: -0.014027 Loss_D_fake 0.010121
[776/5000][50/535][79880] Loss_D: -0.022850 Loss_G: 0.011667 Loss_D_real: -0.016423 Loss_D_fake 0.006427
[776/5000][55/535][79881] Loss_D: -0.023837 Loss_G: 0.019369 Loss_D_real: -0.029987 Loss_D_fake -0.006150
[776/5000][60/535][79882] Loss_D: -0.024523 Loss_G: 0.005301 Loss_D_real: -0.012067 Loss_D_fake 0.012456
[776/5000][65/535][79883] Loss_D: -0.025317 Loss_G: 0.004417 Loss_D_real: -0.020503 Loss_D_fake 0.004814
[776/5000][70/535][79884] Loss_D: -0.024005 Loss_G: 0.026054 Loss_D_real: -0.038866 Loss_D_fake -0.014861
[776/5000][75/535][79885] Loss_D: -0.023193 Loss_G: -0.005847 Loss_D_real: -0.001383 Loss_D_fake 0.021810
[776/5000][80/535][79886] Loss_D: -0.023562 Loss_G: 0.008730 Loss_D_real: -0.016581 Loss_D_fake 0.006981
[776/5000][85/535][79887] Loss_D: -0.023544 Loss_G: 0.004247 Loss_D_real: -0.014192 Loss_D_fake 0.009352
[776/5000][90/535][79888] Loss_D: -0.025625 Loss_G: 0.011705 Loss_D_real: -0.018512 Loss_D_fake 0.007113
[776/5000][95/535][79889] Loss_D: -0.023262 Loss_G: 0.022493 Loss_D_real: -0.035336 Loss_D_fake -0.012073
[776/5000][100/535][79890] Loss_D: -0.023803 Loss_G: 0.003794 Loss_D_real: -0.021837 Loss_D_fake 0.001966
[776/5000][105/535][79891] Loss_D: -0.023016 Loss_G: 0.018129 Loss_D_real: -0.020511 Loss_D_fake 0.002505
[776/5000][110/535][79892] Loss_D: -0.022748 Loss_G: 0.021664 Loss_D_real: -0.033145 Loss_D_fake -0.010398
[776/5000][115/535][79893] Loss_D: -0.024048 Loss_G: -0.004307 Loss_D_real: -0.028171 Loss_D_fake -0.004123
[776/5000][120/535][79894] Loss_D: -0.024300 Loss_G: 0.010369 Loss_D_real: -0.017686 Loss_D_fake 0.006614
[776/5000][125/535][79895] Loss_D: -0.024001 Loss_G: 0.007558 Loss_D_real: -0.014990 Loss_D_fake 0.009011
[776/5000][130/535][79896] Loss_D: -0.022458 Loss_G: 0.017472 Loss_D_real: -0.035048 Loss_D_fake -0.012589
[776/5000][135/535][79897] Loss_D: -0.023780 Loss_G: 0.005344 Loss_D_real: -0.014987 Loss_D_fake 0.008793
[776/5000][140/535][79898] Loss_D: -0.023764 Loss_G: 0.006345 Loss_D_real: -0.022306 Loss_D_fake 0.001457
[776/5000][145/535][79899] Loss_D: -0.024939 Loss_G: 0.004921 Loss_D_real: -0.024157 Loss_D_fake 0.000782
[776/5000][150/535][79900] Loss_D: -0.023557 Loss_G: 0.008559 Loss_D_real: -0.010235 Loss_D_fake 0.013323
[776/5000][155/535][79901] Loss_D: -0.024135 Loss_G: -0.001874 Loss_D_real: -0.015937 Loss_D_fake 0.008198
[776/5000][160/535][79902] Loss_D: -0.023863 Loss_G: 0.004451 Loss_D_real: -0.020079 Loss_D_fake 0.003783
[776/5000][165/535][79903] Loss_D: -0.023295 Loss_G: 0.013715 Loss_D_real: -0.028271 Loss_D_fake -0.004976
[776/5000][170/535][79904] Loss_D: -0.023695 Loss_G: 0.018743 Loss_D_real: -0.025054 Loss_D_fake -0.001359
[776/5000][175/535][79905] Loss_D: -0.023236 Loss_G: 0.020428 Loss_D_real: -0.029337 Loss_D_fake -0.006102
[776/5000][180/535][79906] Loss_D: -0.023908 Loss_G: -0.004514 Loss_D_real: -0.012728 Loss_D_fake 0.011179
[776/5000][185/535][79907] Loss_D: -0.024683 Loss_G: 0.017440 Loss_D_real: -0.031139 Loss_D_fake -0.006456
[776/5000][190/535][79908] Loss_D: -0.023840 Loss_G: 0.017242 Loss_D_real: -0.019372 Loss_D_fake 0.004469
[776/5000][195/535][79909] Loss_D: -0.022931 Loss_G: 0.002720 Loss_D_real: -0.015513 Loss_D_fake 0.007418
[776/5000][200/535][79910] Loss_D: -0.023743 Loss_G: 0.023517 Loss_D_real: -0.025040 Loss_D_fake -0.001297
[776/5000][205/535][79911] Loss_D: -0.022820 Loss_G: -0.004137 Loss_D_real: -0.007837 Loss_D_fake 0.014983
[776/5000][210/535][79912] Loss_D: -0.023434 Loss_G: 0.011582 Loss_D_real: -0.026800 Loss_D_fake -0.003366
[776/5000][215/535][79913] Loss_D: -0.022181 Loss_G: -0.013918 Loss_D_real: 0.002093 Loss_D_fake 0.024275
[776/5000][220/535][79914] Loss_D: -0.023447 Loss_G: 0.005748 Loss_D_real: -0.021267 Loss_D_fake 0.002180
[776/5000][225/535][79915] Loss_D: -0.024506 Loss_G: -0.016560 Loss_D_real: -0.009990 Loss_D_fake 0.014517
[776/5000][230/535][79916] Loss_D: -0.022170 Loss_G: 0.018097 Loss_D_real: -0.013244 Loss_D_fake 0.008926
[776/5000][235/535][79917] Loss_D: -0.021691 Loss_G: -0.016909 Loss_D_real: 0.004201 Loss_D_fake 0.025892
[776/5000][240/535][79918] Loss_D: -0.022204 Loss_G: 0.007652 Loss_D_real: -0.020238 Loss_D_fake 0.001966
[776/5000][245/535][79919] Loss_D: -0.024138 Loss_G: 0.008510 Loss_D_real: -0.015301 Loss_D_fake 0.008837
[776/5000][250/535][79920] Loss_D: -0.024759 Loss_G: -0.001608 Loss_D_real: -0.012794 Loss_D_fake 0.011965
[776/5000][255/535][79921] Loss_D: -0.023390 Loss_G: 0.003025 Loss_D_real: -0.012304 Loss_D_fake 0.011085
[776/5000][260/535][79922] Loss_D: -0.024200 Loss_G: 0.017536 Loss_D_real: -0.017632 Loss_D_fake 0.006569
[776/5000][265/535][79923] Loss_D: -0.023919 Loss_G: -0.003496 Loss_D_real: -0.009932 Loss_D_fake 0.013987
[776/5000][270/535][79924] Loss_D: -0.023626 Loss_G: 0.001046 Loss_D_real: -0.010994 Loss_D_fake 0.012631
[776/5000][275/535][79925] Loss_D: -0.024075 Loss_G: -0.000758 Loss_D_real: -0.007471 Loss_D_fake 0.016604
[776/5000][280/535][79926] Loss_D: -0.023817 Loss_G: 0.007680 Loss_D_real: -0.010572 Loss_D_fake 0.013245
[776/5000][285/535][79927] Loss_D: -0.025496 Loss_G: 0.020048 Loss_D_real: -0.023862 Loss_D_fake 0.001634
[776/5000][290/535][79928] Loss_D: -0.024098 Loss_G: 0.017455 Loss_D_real: -0.030324 Loss_D_fake -0.006226
[776/5000][295/535][79929] Loss_D: -0.022998 Loss_G: 0.012509 Loss_D_real: -0.019499 Loss_D_fake 0.003499
[776/5000][300/535][79930] Loss_D: -0.024638 Loss_G: -0.009998 Loss_D_real: -0.004756 Loss_D_fake 0.019882
[776/5000][305/535][79931] Loss_D: -0.022988 Loss_G: 0.018209 Loss_D_real: -0.018283 Loss_D_fake 0.004705
[776/5000][310/535][79932] Loss_D: -0.023415 Loss_G: 0.019814 Loss_D_real: -0.027650 Loss_D_fake -0.004236
[776/5000][315/535][79933] Loss_D: -0.023192 Loss_G: -0.001160 Loss_D_real: -0.009471 Loss_D_fake 0.013721
[776/5000][320/535][79934] Loss_D: -0.023502 Loss_G: -0.001598 Loss_D_real: -0.010044 Loss_D_fake 0.013458
[776/5000][325/535][79935] Loss_D: -0.023960 Loss_G: -0.008436 Loss_D_real: -0.014858 Loss_D_fake 0.009102
[776/5000][330/535][79936] Loss_D: -0.022571 Loss_G: -0.001348 Loss_D_real: -0.016423 Loss_D_fake 0.006148
[776/5000][335/535][79937] Loss_D: -0.024323 Loss_G: 0.014292 Loss_D_real: -0.025376 Loss_D_fake -0.001053
[776/5000][340/535][79938] Loss_D: -0.024713 Loss_G: 0.016492 Loss_D_real: -0.027092 Loss_D_fake -0.002380
[776/5000][345/535][79939] Loss_D: -0.022885 Loss_G: 0.012479 Loss_D_real: -0.016828 Loss_D_fake 0.006057
[776/5000][350/535][79940] Loss_D: -0.022758 Loss_G: 0.005323 Loss_D_real: -0.005598 Loss_D_fake 0.017161
[776/5000][355/535][79941] Loss_D: -0.023535 Loss_G: -0.006049 Loss_D_real: -0.005965 Loss_D_fake 0.017570
[776/5000][360/535][79942] Loss_D: -0.023236 Loss_G: 0.012605 Loss_D_real: -0.023475 Loss_D_fake -0.000239
[776/5000][365/535][79943] Loss_D: -0.024291 Loss_G: 0.016234 Loss_D_real: -0.018286 Loss_D_fake 0.006004
[776/5000][370/535][79944] Loss_D: -0.024715 Loss_G: 0.018963 Loss_D_real: -0.018484 Loss_D_fake 0.006231
[776/5000][375/535][79945] Loss_D: -0.024065 Loss_G: 0.003150 Loss_D_real: -0.017187 Loss_D_fake 0.006878
[776/5000][380/535][79946] Loss_D: -0.024722 Loss_G: 0.019441 Loss_D_real: -0.033987 Loss_D_fake -0.009264
[776/5000][385/535][79947] Loss_D: -0.023099 Loss_G: 0.023300 Loss_D_real: -0.021699 Loss_D_fake 0.001400
[776/5000][390/535][79948] Loss_D: -0.023170 Loss_G: -0.013475 Loss_D_real: -0.002105 Loss_D_fake 0.021065
[776/5000][395/535][79949] Loss_D: -0.023872 Loss_G: 0.003657 Loss_D_real: -0.019851 Loss_D_fake 0.004021
[776/5000][400/535][79950] Loss_D: -0.023102 Loss_G: 0.014760 Loss_D_real: -0.024725 Loss_D_fake -0.001623
[776/5000][405/535][79951] Loss_D: -0.024153 Loss_G: -0.007346 Loss_D_real: -0.011275 Loss_D_fake 0.012878
[776/5000][410/535][79952] Loss_D: -0.024594 Loss_G: 0.007086 Loss_D_real: -0.013070 Loss_D_fake 0.011525
[776/5000][415/535][79953] Loss_D: -0.024192 Loss_G: 0.018652 Loss_D_real: -0.015556 Loss_D_fake 0.008637
[776/5000][420/535][79954] Loss_D: -0.025038 Loss_G: 0.007465 Loss_D_real: -0.013784 Loss_D_fake 0.011254
[776/5000][425/535][79955] Loss_D: -0.024137 Loss_G: 0.006703 Loss_D_real: -0.008388 Loss_D_fake 0.015749
[776/5000][430/535][79956] Loss_D: -0.022320 Loss_G: 0.008241 Loss_D_real: -0.016593 Loss_D_fake 0.005727
[776/5000][435/535][79957] Loss_D: -0.022713 Loss_G: 0.016095 Loss_D_real: -0.039569 Loss_D_fake -0.016856
[776/5000][440/535][79958] Loss_D: -0.022638 Loss_G: 0.022781 Loss_D_real: -0.020524 Loss_D_fake 0.002114
[776/5000][445/535][79959] Loss_D: -0.024692 Loss_G: 0.013601 Loss_D_real: -0.015616 Loss_D_fake 0.009076
[776/5000][450/535][79960] Loss_D: -0.023389 Loss_G: 0.014019 Loss_D_real: -0.022706 Loss_D_fake 0.000683
[776/5000][455/535][79961] Loss_D: -0.022097 Loss_G: 0.007265 Loss_D_real: -0.022682 Loss_D_fake -0.000585
[776/5000][460/535][79962] Loss_D: -0.024452 Loss_G: 0.014832 Loss_D_real: -0.021776 Loss_D_fake 0.002675
[776/5000][465/535][79963] Loss_D: -0.022095 Loss_G: 0.021301 Loss_D_real: -0.025751 Loss_D_fake -0.003656
[776/5000][470/535][79964] Loss_D: -0.023954 Loss_G: -0.003447 Loss_D_real: -0.004543 Loss_D_fake 0.019410
[776/5000][475/535][79965] Loss_D: -0.021741 Loss_G: 0.030511 Loss_D_real: -0.034315 Loss_D_fake -0.012575
[776/5000][480/535][79966] Loss_D: -0.022400 Loss_G: 0.028103 Loss_D_real: -0.035723 Loss_D_fake -0.013324
[776/5000][485/535][79967] Loss_D: -0.024307 Loss_G: 0.006623 Loss_D_real: -0.024787 Loss_D_fake -0.000480
[776/5000][490/535][79968] Loss_D: -0.023886 Loss_G: 0.027461 Loss_D_real: -0.027251 Loss_D_fake -0.003365
[776/5000][495/535][79969] Loss_D: -0.022856 Loss_G: -0.015137 Loss_D_real: -0.001333 Loss_D_fake 0.021523
[776/5000][500/535][79970] Loss_D: -0.023388 Loss_G: 0.017231 Loss_D_real: -0.023589 Loss_D_fake -0.000201
[776/5000][505/535][79971] Loss_D: -0.023494 Loss_G: 0.008240 Loss_D_real: -0.029978 Loss_D_fake -0.006484
[776/5000][510/535][79972] Loss_D: -0.024838 Loss_G: 0.003197 Loss_D_real: -0.018590 Loss_D_fake 0.006247
[776/5000][515/535][79973] Loss_D: -0.024586 Loss_G: 0.013695 Loss_D_real: -0.031727 Loss_D_fake -0.007141
[776/5000][520/535][79974] Loss_D: -0.023989 Loss_G: 0.007918 Loss_D_real: -0.023046 Loss_D_fake 0.000943
[776/5000][525/535][79975] Loss_D: -0.022914 Loss_G: 0.009438 Loss_D_real: -0.013959 Loss_D_fake 0.008955
[776/5000][530/535][79976] Loss_D: -0.023723 Loss_G: 0.009485 Loss_D_real: -0.009677 Loss_D_fake 0.014045
[776/5000][535/535][79977] Loss_D: -0.024237 Loss_G: -0.042017 Loss_D_real: -0.008268 Loss_D_fake 0.015968
[777/5000][5/535][79978] Loss_D: -0.023854 Loss_G: 0.001057 Loss_D_real: -0.010197 Loss_D_fake 0.013656
[777/5000][10/535][79979] Loss_D: -0.022836 Loss_G: 0.016530 Loss_D_real: -0.017076 Loss_D_fake 0.005760
[777/5000][15/535][79980] Loss_D: -0.022136 Loss_G: 0.019150 Loss_D_real: -0.016894 Loss_D_fake 0.005242
[777/5000][20/535][79981] Loss_D: -0.023972 Loss_G: 0.018169 Loss_D_real: -0.020478 Loss_D_fake 0.003494
[777/5000][25/535][79982] Loss_D: -0.024180 Loss_G: 0.000975 Loss_D_real: -0.011755 Loss_D_fake 0.012425
[777/5000][30/535][79983] Loss_D: -0.023419 Loss_G: 0.030480 Loss_D_real: -0.027006 Loss_D_fake -0.003587
[777/5000][35/535][79984] Loss_D: -0.023050 Loss_G: -0.005917 Loss_D_real: -0.009518 Loss_D_fake 0.013531
[777/5000][40/535][79985] Loss_D: -0.023549 Loss_G: 0.017517 Loss_D_real: -0.019344 Loss_D_fake 0.004206
[777/5000][45/535][79986] Loss_D: -0.022717 Loss_G: 0.018192 Loss_D_real: -0.027358 Loss_D_fake -0.004641
[777/5000][50/535][79987] Loss_D: -0.024571 Loss_G: -0.002203 Loss_D_real: -0.011756 Loss_D_fake 0.012815
[777/5000][55/535][79988] Loss_D: -0.023172 Loss_G: 0.004073 Loss_D_real: -0.013643 Loss_D_fake 0.009529
[777/5000][60/535][79989] Loss_D: -0.023507 Loss_G: 0.005621 Loss_D_real: -0.016527 Loss_D_fake 0.006980
[777/5000][65/535][79990] Loss_D: -0.022670 Loss_G: 0.001891 Loss_D_real: -0.022344 Loss_D_fake 0.000326
[777/5000][70/535][79991] Loss_D: -0.022067 Loss_G: 0.028532 Loss_D_real: -0.030772 Loss_D_fake -0.008705
[777/5000][75/535][79992] Loss_D: -0.023176 Loss_G: 0.005553 Loss_D_real: -0.015388 Loss_D_fake 0.007788
[777/5000][80/535][79993] Loss_D: -0.023741 Loss_G: 0.017325 Loss_D_real: -0.023866 Loss_D_fake -0.000125
[777/5000][85/535][79994] Loss_D: -0.024566 Loss_G: 0.014996 Loss_D_real: -0.016502 Loss_D_fake 0.008063
[777/5000][90/535][79995] Loss_D: -0.023235 Loss_G: -0.002211 Loss_D_real: -0.009159 Loss_D_fake 0.014076
[777/5000][95/535][79996] Loss_D: -0.022639 Loss_G: 0.013766 Loss_D_real: -0.021366 Loss_D_fake 0.001273
[777/5000][100/535][79997] Loss_D: -0.022711 Loss_G: 0.020518 Loss_D_real: -0.021215 Loss_D_fake 0.001496
[777/5000][105/535][79998] Loss_D: -0.022359 Loss_G: -0.006920 Loss_D_real: -0.003753 Loss_D_fake 0.018606
[777/5000][110/535][79999] Loss_D: -0.024067 Loss_G: 0.016255 Loss_D_real: -0.025268 Loss_D_fake -0.001201
[777/5000][115/535][80000] Loss_D: -0.023823 Loss_G: 0.016938 Loss_D_real: -0.020070 Loss_D_fake 0.003753
[777/5000][215/535][80001] Loss_D: -0.025814 Loss_G: -0.003586 Loss_D_real: -0.007204 Loss_D_fake 0.018610
[777/5000][220/535][80002] Loss_D: -0.022365 Loss_G: 0.006214 Loss_D_real: -0.004407 Loss_D_fake 0.017957
[777/5000][225/535][80003] Loss_D: -0.023033 Loss_G: 0.031186 Loss_D_real: -0.023088 Loss_D_fake -0.000055
[777/5000][230/535][80004] Loss_D: -0.022005 Loss_G: -0.003361 Loss_D_real: -0.009239 Loss_D_fake 0.012766
[777/5000][235/535][80005] Loss_D: -0.023780 Loss_G: 0.016281 Loss_D_real: -0.020195 Loss_D_fake 0.003585
[777/5000][240/535][80006] Loss_D: -0.022134 Loss_G: 0.002518 Loss_D_real: -0.021562 Loss_D_fake 0.000572
[777/5000][245/535][80007] Loss_D: -0.021462 Loss_G: 0.018465 Loss_D_real: -0.030764 Loss_D_fake -0.009302
[777/5000][250/535][80008] Loss_D: -0.022826 Loss_G: 0.008183 Loss_D_real: -0.023346 Loss_D_fake -0.000520
[777/5000][255/535][80009] Loss_D: -0.024567 Loss_G: 0.011344 Loss_D_real: -0.021559 Loss_D_fake 0.003008
[777/5000][260/535][80010] Loss_D: -0.023271 Loss_G: 0.019424 Loss_D_real: -0.021942 Loss_D_fake 0.001329
[777/5000][265/535][80011] Loss_D: -0.024320 Loss_G: 0.000817 Loss_D_real: -0.027600 Loss_D_fake -0.003280
[777/5000][270/535][80012] Loss_D: -0.023719 Loss_G: -0.002248 Loss_D_real: -0.014111 Loss_D_fake 0.009608
[777/5000][275/535][80013] Loss_D: -0.023771 Loss_G: 0.013271 Loss_D_real: -0.025193 Loss_D_fake -0.001422
[777/5000][280/535][80014] Loss_D: -0.022462 Loss_G: 0.026401 Loss_D_real: -0.031417 Loss_D_fake -0.008954
[777/5000][285/535][80015] Loss_D: -0.025256 Loss_G: 0.012355 Loss_D_real: -0.023823 Loss_D_fake 0.001433
[777/5000][290/535][80016] Loss_D: -0.025585 Loss_G: 0.003189 Loss_D_real: -0.015698 Loss_D_fake 0.009888
[777/5000][295/535][80017] Loss_D: -0.026676 Loss_G: 0.011355 Loss_D_real: -0.029257 Loss_D_fake -0.002581
[777/5000][300/535][80018] Loss_D: -0.024935 Loss_G: 0.012235 Loss_D_real: -0.021773 Loss_D_fake 0.003162
[777/5000][305/535][80019] Loss_D: -0.023917 Loss_G: 0.014961 Loss_D_real: -0.029859 Loss_D_fake -0.005942
[777/5000][310/535][80020] Loss_D: -0.025290 Loss_G: 0.020160 Loss_D_real: -0.026019 Loss_D_fake -0.000729
[777/5000][315/535][80021] Loss_D: -0.025533 Loss_G: 0.008310 Loss_D_real: -0.018243 Loss_D_fake 0.007290
[777/5000][320/535][80022] Loss_D: -0.024681 Loss_G: -0.005635 Loss_D_real: -0.009531 Loss_D_fake 0.015150
[777/5000][325/535][80023] Loss_D: -0.024488 Loss_G: 0.017319 Loss_D_real: -0.026713 Loss_D_fake -0.002225
[777/5000][330/535][80024] Loss_D: -0.023890 Loss_G: 0.008209 Loss_D_real: -0.016514 Loss_D_fake 0.007375
[777/5000][335/535][80025] Loss_D: -0.024726 Loss_G: 0.009551 Loss_D_real: -0.018428 Loss_D_fake 0.006298
[777/5000][340/535][80026] Loss_D: -0.025376 Loss_G: 0.010703 Loss_D_real: -0.021706 Loss_D_fake 0.003670
[777/5000][345/535][80027] Loss_D: -0.023715 Loss_G: 0.019731 Loss_D_real: -0.025481 Loss_D_fake -0.001766
[777/5000][350/535][80028] Loss_D: -0.024910 Loss_G: -0.002470 Loss_D_real: -0.015722 Loss_D_fake 0.009187
[777/5000][355/535][80029] Loss_D: -0.023325 Loss_G: 0.000554 Loss_D_real: -0.015997 Loss_D_fake 0.007327
[777/5000][360/535][80030] Loss_D: -0.024024 Loss_G: 0.012392 Loss_D_real: -0.024838 Loss_D_fake -0.000814
[777/5000][365/535][80031] Loss_D: -0.021379 Loss_G: 0.024691 Loss_D_real: -0.033559 Loss_D_fake -0.012181
[777/5000][370/535][80032] Loss_D: -0.024747 Loss_G: 0.020850 Loss_D_real: -0.025954 Loss_D_fake -0.001206
[777/5000][375/535][80033] Loss_D: -0.023845 Loss_G: 0.001520 Loss_D_real: -0.021112 Loss_D_fake 0.002733
[777/5000][380/535][80034] Loss_D: -0.023389 Loss_G: 0.028311 Loss_D_real: -0.031480 Loss_D_fake -0.008091
[777/5000][385/535][80035] Loss_D: -0.024052 Loss_G: 0.018454 Loss_D_real: -0.023351 Loss_D_fake 0.000701
[777/5000][390/535][80036] Loss_D: -0.023789 Loss_G: -0.003270 Loss_D_real: -0.012038 Loss_D_fake 0.011751
[777/5000][395/535][80037] Loss_D: -0.023388 Loss_G: 0.001923 Loss_D_real: -0.014256 Loss_D_fake 0.009133
[777/5000][400/535][80038] Loss_D: -0.022140 Loss_G: -0.004248 Loss_D_real: -0.009159 Loss_D_fake 0.012981
[777/5000][405/535][80039] Loss_D: -0.023987 Loss_G: 0.015948 Loss_D_real: -0.023739 Loss_D_fake 0.000248
[777/5000][410/535][80040] Loss_D: -0.024788 Loss_G: 0.013214 Loss_D_real: -0.028958 Loss_D_fake -0.004170
[777/5000][415/535][80041] Loss_D: -0.024120 Loss_G: -0.002166 Loss_D_real: -0.009386 Loss_D_fake 0.014735
[777/5000][420/535][80042] Loss_D: -0.024900 Loss_G: 0.023743 Loss_D_real: -0.019034 Loss_D_fake 0.005866
[777/5000][425/535][80043] Loss_D: -0.022425 Loss_G: 0.025458 Loss_D_real: -0.026773 Loss_D_fake -0.004348
[777/5000][430/535][80044] Loss_D: -0.023560 Loss_G: 0.008730 Loss_D_real: -0.020360 Loss_D_fake 0.003200
[777/5000][435/535][80045] Loss_D: -0.022882 Loss_G: 0.017244 Loss_D_real: -0.035412 Loss_D_fake -0.012530
[777/5000][440/535][80046] Loss_D: -0.023441 Loss_G: 0.003499 Loss_D_real: -0.009742 Loss_D_fake 0.013699
[777/5000][445/535][80047] Loss_D: -0.023829 Loss_G: 0.003355 Loss_D_real: -0.019662 Loss_D_fake 0.004167
[777/5000][450/535][80048] Loss_D: -0.024226 Loss_G: 0.026647 Loss_D_real: -0.031811 Loss_D_fake -0.007585
[777/5000][455/535][80049] Loss_D: -0.025021 Loss_G: 0.006151 Loss_D_real: -0.021725 Loss_D_fake 0.003296
[777/5000][460/535][80050] Loss_D: -0.024972 Loss_G: -0.006892 Loss_D_real: -0.017465 Loss_D_fake 0.007507
[777/5000][465/535][80051] Loss_D: -0.023688 Loss_G: 0.006142 Loss_D_real: -0.017594 Loss_D_fake 0.006094
[777/5000][470/535][80052] Loss_D: -0.021226 Loss_G: 0.032396 Loss_D_real: -0.027666 Loss_D_fake -0.006440
[777/5000][475/535][80053] Loss_D: -0.022771 Loss_G: -0.010754 Loss_D_real: -0.010248 Loss_D_fake 0.012523
[777/5000][480/535][80054] Loss_D: -0.023605 Loss_G: 0.006063 Loss_D_real: -0.020668 Loss_D_fake 0.002936
[777/5000][485/535][80055] Loss_D: -0.024156 Loss_G: -0.008970 Loss_D_real: -0.010514 Loss_D_fake 0.013642
[777/5000][490/535][80056] Loss_D: -0.023278 Loss_G: 0.013539 Loss_D_real: -0.027710 Loss_D_fake -0.004432
[777/5000][495/535][80057] Loss_D: -0.023234 Loss_G: 0.004166 Loss_D_real: -0.015682 Loss_D_fake 0.007551
[777/5000][500/535][80058] Loss_D: -0.023480 Loss_G: 0.004265 Loss_D_real: -0.022577 Loss_D_fake 0.000903
[777/5000][505/535][80059] Loss_D: -0.025020 Loss_G: 0.005900 Loss_D_real: -0.013836 Loss_D_fake 0.011184
[777/5000][510/535][80060] Loss_D: -0.024563 Loss_G: -0.004934 Loss_D_real: -0.012897 Loss_D_fake 0.011666
[777/5000][515/535][80061] Loss_D: -0.024103 Loss_G: 0.011179 Loss_D_real: -0.017338 Loss_D_fake 0.006765
[777/5000][520/535][80062] Loss_D: -0.023065 Loss_G: 0.023323 Loss_D_real: -0.030255 Loss_D_fake -0.007190
[777/5000][525/535][80063] Loss_D: -0.024101 Loss_G: 0.013916 Loss_D_real: -0.031930 Loss_D_fake -0.007829
[777/5000][530/535][80064] Loss_D: -0.025620 Loss_G: 0.002158 Loss_D_real: -0.015697 Loss_D_fake 0.009923
[777/5000][535/535][80065] Loss_D: -0.024258 Loss_G: -0.009022 Loss_D_real: -0.014035 Loss_D_fake 0.010223
[778/5000][5/535][80066] Loss_D: -0.024454 Loss_G: 0.032479 Loss_D_real: -0.031286 Loss_D_fake -0.006832
[778/5000][10/535][80067] Loss_D: -0.022972 Loss_G: 0.006364 Loss_D_real: -0.013641 Loss_D_fake 0.009330
[778/5000][15/535][80068] Loss_D: -0.023713 Loss_G: 0.012025 Loss_D_real: -0.035632 Loss_D_fake -0.011920
[778/5000][20/535][80069] Loss_D: -0.023884 Loss_G: -0.004251 Loss_D_real: -0.002471 Loss_D_fake 0.021413
[778/5000][25/535][80070] Loss_D: -0.022536 Loss_G: 0.012529 Loss_D_real: -0.032734 Loss_D_fake -0.010198
[778/5000][30/535][80071] Loss_D: -0.022664 Loss_G: 0.022919 Loss_D_real: -0.023371 Loss_D_fake -0.000707
[778/5000][35/535][80072] Loss_D: -0.024590 Loss_G: 0.006750 Loss_D_real: -0.017960 Loss_D_fake 0.006630
[778/5000][40/535][80073] Loss_D: -0.024432 Loss_G: 0.018394 Loss_D_real: -0.021142 Loss_D_fake 0.003291
[778/5000][45/535][80074] Loss_D: -0.024395 Loss_G: 0.005342 Loss_D_real: -0.012733 Loss_D_fake 0.011662
[778/5000][50/535][80075] Loss_D: -0.023429 Loss_G: -0.000651 Loss_D_real: -0.014226 Loss_D_fake 0.009203
[778/5000][55/535][80076] Loss_D: -0.023338 Loss_G: 0.020750 Loss_D_real: -0.017214 Loss_D_fake 0.006124
[778/5000][60/535][80077] Loss_D: -0.022456 Loss_G: 0.024240 Loss_D_real: -0.033149 Loss_D_fake -0.010693
[778/5000][65/535][80078] Loss_D: -0.023696 Loss_G: 0.021998 Loss_D_real: -0.033087 Loss_D_fake -0.009392
[778/5000][70/535][80079] Loss_D: -0.023556 Loss_G: -0.004661 Loss_D_real: -0.009223 Loss_D_fake 0.014333
[778/5000][75/535][80080] Loss_D: -0.023610 Loss_G: 0.005832 Loss_D_real: -0.006249 Loss_D_fake 0.017361
[778/5000][80/535][80081] Loss_D: -0.023167 Loss_G: 0.014044 Loss_D_real: -0.023138 Loss_D_fake 0.000029
[778/5000][85/535][80082] Loss_D: -0.023822 Loss_G: 0.006070 Loss_D_real: -0.023012 Loss_D_fake 0.000811
[778/5000][90/535][80083] Loss_D: -0.024288 Loss_G: 0.018788 Loss_D_real: -0.020114 Loss_D_fake 0.004174
[778/5000][95/535][80084] Loss_D: -0.024166 Loss_G: -0.005271 Loss_D_real: -0.009432 Loss_D_fake 0.014735
[778/5000][100/535][80085] Loss_D: -0.025088 Loss_G: 0.014114 Loss_D_real: -0.024459 Loss_D_fake 0.000629
[778/5000][105/535][80086] Loss_D: -0.024087 Loss_G: 0.007376 Loss_D_real: -0.011725 Loss_D_fake 0.012362
[778/5000][110/535][80087] Loss_D: -0.023780 Loss_G: 0.018686 Loss_D_real: -0.023640 Loss_D_fake 0.000140
[778/5000][115/535][80088] Loss_D: -0.023610 Loss_G: 0.009122 Loss_D_real: -0.012248 Loss_D_fake 0.011363
[778/5000][120/535][80089] Loss_D: -0.024655 Loss_G: -0.002941 Loss_D_real: -0.012991 Loss_D_fake 0.011664
[778/5000][125/535][80090] Loss_D: -0.022476 Loss_G: 0.017558 Loss_D_real: -0.022761 Loss_D_fake -0.000285
[778/5000][130/535][80091] Loss_D: -0.021843 Loss_G: 0.025673 Loss_D_real: -0.020314 Loss_D_fake 0.001529
[778/5000][135/535][80092] Loss_D: -0.023274 Loss_G: 0.001223 Loss_D_real: -0.012057 Loss_D_fake 0.011217
[778/5000][140/535][80093] Loss_D: -0.023274 Loss_G: -0.008029 Loss_D_real: -0.008733 Loss_D_fake 0.014541
[778/5000][145/535][80094] Loss_D: -0.023251 Loss_G: 0.008268 Loss_D_real: -0.027364 Loss_D_fake -0.004114
[778/5000][150/535][80095] Loss_D: -0.023549 Loss_G: -0.002529 Loss_D_real: -0.013526 Loss_D_fake 0.010023
[778/5000][155/535][80096] Loss_D: -0.023933 Loss_G: 0.001347 Loss_D_real: -0.006629 Loss_D_fake 0.017303
[778/5000][160/535][80097] Loss_D: -0.023008 Loss_G: 0.023329 Loss_D_real: -0.028723 Loss_D_fake -0.005715
[778/5000][165/535][80098] Loss_D: -0.023592 Loss_G: 0.014463 Loss_D_real: -0.028051 Loss_D_fake -0.004459
[778/5000][170/535][80099] Loss_D: -0.024250 Loss_G: 0.011017 Loss_D_real: -0.019263 Loss_D_fake 0.004986
[778/5000][175/535][80100] Loss_D: -0.022779 Loss_G: -0.009737 Loss_D_real: 0.001342 Loss_D_fake 0.024121
[778/5000][180/535][80101] Loss_D: -0.021762 Loss_G: -0.014913 Loss_D_real: -0.006615 Loss_D_fake 0.015147
[778/5000][185/535][80102] Loss_D: -0.023193 Loss_G: 0.016385 Loss_D_real: -0.031079 Loss_D_fake -0.007886
[778/5000][190/535][80103] Loss_D: -0.023027 Loss_G: 0.013581 Loss_D_real: -0.011973 Loss_D_fake 0.011054
[778/5000][195/535][80104] Loss_D: -0.023521 Loss_G: 0.012610 Loss_D_real: -0.023846 Loss_D_fake -0.000326
[778/5000][200/535][80105] Loss_D: -0.023458 Loss_G: -0.004134 Loss_D_real: -0.006208 Loss_D_fake 0.017249
[778/5000][205/535][80106] Loss_D: -0.023273 Loss_G: 0.016926 Loss_D_real: -0.023207 Loss_D_fake 0.000066
[778/5000][210/535][80107] Loss_D: -0.024187 Loss_G: -0.007877 Loss_D_real: -0.013593 Loss_D_fake 0.010594
[778/5000][215/535][80108] Loss_D: -0.023173 Loss_G: 0.019871 Loss_D_real: -0.026197 Loss_D_fake -0.003023
[778/5000][220/535][80109] Loss_D: -0.023090 Loss_G: 0.014153 Loss_D_real: -0.023893 Loss_D_fake -0.000803
[778/5000][225/535][80110] Loss_D: -0.024035 Loss_G: -0.003746 Loss_D_real: -0.019043 Loss_D_fake 0.004992
[778/5000][230/535][80111] Loss_D: -0.022635 Loss_G: 0.007447 Loss_D_real: -0.015161 Loss_D_fake 0.007474
[778/5000][235/535][80112] Loss_D: -0.023699 Loss_G: 0.010170 Loss_D_real: -0.010259 Loss_D_fake 0.013440
[778/5000][240/535][80113] Loss_D: -0.023469 Loss_G: -0.002546 Loss_D_real: -0.020902 Loss_D_fake 0.002567
[778/5000][245/535][80114] Loss_D: -0.023177 Loss_G: 0.004139 Loss_D_real: -0.010859 Loss_D_fake 0.012319
[778/5000][250/535][80115] Loss_D: -0.022917 Loss_G: 0.019206 Loss_D_real: -0.010734 Loss_D_fake 0.012184
[778/5000][255/535][80116] Loss_D: -0.025283 Loss_G: 0.004928 Loss_D_real: -0.018193 Loss_D_fake 0.007090
[778/5000][260/535][80117] Loss_D: -0.023926 Loss_G: 0.009109 Loss_D_real: -0.019498 Loss_D_fake 0.004428
[778/5000][265/535][80118] Loss_D: -0.024801 Loss_G: 0.016238 Loss_D_real: -0.008114 Loss_D_fake 0.016687
[778/5000][270/535][80119] Loss_D: -0.024631 Loss_G: 0.011522 Loss_D_real: -0.017902 Loss_D_fake 0.006728
[778/5000][275/535][80120] Loss_D: -0.023780 Loss_G: 0.009284 Loss_D_real: -0.009621 Loss_D_fake 0.014159
[778/5000][280/535][80121] Loss_D: -0.022279 Loss_G: -0.001055 Loss_D_real: -0.004026 Loss_D_fake 0.018253
[778/5000][285/535][80122] Loss_D: -0.023489 Loss_G: -0.001344 Loss_D_real: -0.003899 Loss_D_fake 0.019590
[778/5000][290/535][80123] Loss_D: -0.022718 Loss_G: 0.012897 Loss_D_real: -0.019244 Loss_D_fake 0.003474
[778/5000][295/535][80124] Loss_D: -0.023969 Loss_G: -0.006546 Loss_D_real: 0.006374 Loss_D_fake 0.030343
[778/5000][300/535][80125] Loss_D: -0.023073 Loss_G: 0.032897 Loss_D_real: -0.032031 Loss_D_fake -0.008958
[778/5000][305/535][80126] Loss_D: -0.024892 Loss_G: 0.007816 Loss_D_real: -0.018581 Loss_D_fake 0.006311
[778/5000][310/535][80127] Loss_D: -0.025384 Loss_G: 0.023905 Loss_D_real: -0.025118 Loss_D_fake 0.000266
[778/5000][315/535][80128] Loss_D: -0.024131 Loss_G: -0.023994 Loss_D_real: -0.010028 Loss_D_fake 0.014103
[778/5000][320/535][80129] Loss_D: -0.023276 Loss_G: 0.025269 Loss_D_real: -0.037938 Loss_D_fake -0.014662
[778/5000][325/535][80130] Loss_D: -0.023275 Loss_G: -0.003453 Loss_D_real: -0.001866 Loss_D_fake 0.021408
[778/5000][330/535][80131] Loss_D: -0.023882 Loss_G: 0.003169 Loss_D_real: -0.014562 Loss_D_fake 0.009320
[778/5000][335/535][80132] Loss_D: -0.023616 Loss_G: 0.016543 Loss_D_real: -0.017099 Loss_D_fake 0.006517
[778/5000][340/535][80133] Loss_D: -0.022981 Loss_G: 0.028356 Loss_D_real: -0.032831 Loss_D_fake -0.009849
[778/5000][345/535][80134] Loss_D: -0.023706 Loss_G: 0.003037 Loss_D_real: -0.010517 Loss_D_fake 0.013189
[778/5000][350/535][80135] Loss_D: -0.023957 Loss_G: 0.023508 Loss_D_real: -0.029288 Loss_D_fake -0.005331
[778/5000][355/535][80136] Loss_D: -0.023934 Loss_G: -0.000134 Loss_D_real: -0.016837 Loss_D_fake 0.007097
[778/5000][360/535][80137] Loss_D: -0.023618 Loss_G: 0.016779 Loss_D_real: -0.028196 Loss_D_fake -0.004578
[778/5000][365/535][80138] Loss_D: -0.023494 Loss_G: -0.003499 Loss_D_real: -0.010645 Loss_D_fake 0.012848
[778/5000][370/535][80139] Loss_D: -0.023674 Loss_G: 0.012752 Loss_D_real: -0.012970 Loss_D_fake 0.010705
[778/5000][375/535][80140] Loss_D: -0.023250 Loss_G: 0.018103 Loss_D_real: -0.026273 Loss_D_fake -0.003023
[778/5000][380/535][80141] Loss_D: -0.023942 Loss_G: 0.012288 Loss_D_real: -0.013647 Loss_D_fake 0.010295
[778/5000][385/535][80142] Loss_D: -0.023937 Loss_G: 0.022431 Loss_D_real: -0.029359 Loss_D_fake -0.005422
[778/5000][390/535][80143] Loss_D: -0.025165 Loss_G: -0.006797 Loss_D_real: -0.015890 Loss_D_fake 0.009274
[778/5000][395/535][80144] Loss_D: -0.023499 Loss_G: 0.015201 Loss_D_real: -0.025175 Loss_D_fake -0.001676
[778/5000][400/535][80145] Loss_D: -0.023688 Loss_G: 0.000676 Loss_D_real: -0.013137 Loss_D_fake 0.010551
[778/5000][405/535][80146] Loss_D: -0.024621 Loss_G: 0.014895 Loss_D_real: -0.021319 Loss_D_fake 0.003302
[778/5000][410/535][80147] Loss_D: -0.023191 Loss_G: -0.005119 Loss_D_real: -0.013479 Loss_D_fake 0.009712
[778/5000][415/535][80148] Loss_D: -0.023226 Loss_G: -0.001377 Loss_D_real: -0.007424 Loss_D_fake 0.015802
[778/5000][420/535][80149] Loss_D: -0.023535 Loss_G: 0.001555 Loss_D_real: -0.019449 Loss_D_fake 0.004086
[778/5000][425/535][80150] Loss_D: -0.023712 Loss_G: 0.021732 Loss_D_real: -0.027723 Loss_D_fake -0.004011
[778/5000][430/535][80151] Loss_D: -0.024331 Loss_G: 0.017202 Loss_D_real: -0.019715 Loss_D_fake 0.004617
[778/5000][435/535][80152] Loss_D: -0.024792 Loss_G: -0.007977 Loss_D_real: -0.004177 Loss_D_fake 0.020615
[778/5000][440/535][80153] Loss_D: -0.024031 Loss_G: 0.016682 Loss_D_real: -0.016673 Loss_D_fake 0.007358
[778/5000][445/535][80154] Loss_D: -0.024154 Loss_G: 0.006872 Loss_D_real: -0.020392 Loss_D_fake 0.003763
[778/5000][450/535][80155] Loss_D: -0.024232 Loss_G: 0.010718 Loss_D_real: -0.019577 Loss_D_fake 0.004654
[778/5000][455/535][80156] Loss_D: -0.024977 Loss_G: -0.007447 Loss_D_real: -0.005113 Loss_D_fake 0.019864
[778/5000][460/535][80157] Loss_D: -0.023996 Loss_G: 0.010912 Loss_D_real: -0.021021 Loss_D_fake 0.002975
[778/5000][465/535][80158] Loss_D: -0.024476 Loss_G: 0.018474 Loss_D_real: -0.024624 Loss_D_fake -0.000148
[778/5000][470/535][80159] Loss_D: -0.023877 Loss_G: -0.010448 Loss_D_real: -0.014958 Loss_D_fake 0.008918
[778/5000][475/535][80160] Loss_D: -0.023643 Loss_G: -0.008060 Loss_D_real: 0.004321 Loss_D_fake 0.027965
[778/5000][480/535][80161] Loss_D: -0.023870 Loss_G: 0.010942 Loss_D_real: -0.021706 Loss_D_fake 0.002164
[778/5000][485/535][80162] Loss_D: -0.024333 Loss_G: -0.015318 Loss_D_real: 0.002184 Loss_D_fake 0.026517
[778/5000][490/535][80163] Loss_D: -0.023467 Loss_G: -0.003846 Loss_D_real: -0.010749 Loss_D_fake 0.012718
[778/5000][495/535][80164] Loss_D: -0.022363 Loss_G: 0.010034 Loss_D_real: -0.015606 Loss_D_fake 0.006756
[778/5000][500/535][80165] Loss_D: -0.024535 Loss_G: 0.012102 Loss_D_real: -0.013959 Loss_D_fake 0.010576
[778/5000][505/535][80166] Loss_D: -0.024334 Loss_G: 0.007439 Loss_D_real: -0.018249 Loss_D_fake 0.006085
[778/5000][510/535][80167] Loss_D: -0.023682 Loss_G: 0.020751 Loss_D_real: -0.020585 Loss_D_fake 0.003097
[778/5000][515/535][80168] Loss_D: -0.024074 Loss_G: -0.004141 Loss_D_real: -0.008487 Loss_D_fake 0.015587
[778/5000][520/535][80169] Loss_D: -0.022849 Loss_G: -0.002702 Loss_D_real: -0.018652 Loss_D_fake 0.004197
[778/5000][525/535][80170] Loss_D: -0.023692 Loss_G: 0.022693 Loss_D_real: -0.031839 Loss_D_fake -0.008147
[778/5000][530/535][80171] Loss_D: -0.023222 Loss_G: 0.008972 Loss_D_real: -0.025919 Loss_D_fake -0.002697
[778/5000][535/535][80172] Loss_D: -0.020334 Loss_G: 0.015602 Loss_D_real: -0.024154 Loss_D_fake -0.003821
[779/5000][5/535][80173] Loss_D: -0.023273 Loss_G: 0.017483 Loss_D_real: -0.019025 Loss_D_fake 0.004248
[779/5000][10/535][80174] Loss_D: -0.023230 Loss_G: 0.007065 Loss_D_real: -0.012281 Loss_D_fake 0.010950
[779/5000][15/535][80175] Loss_D: -0.022816 Loss_G: 0.007824 Loss_D_real: -0.012796 Loss_D_fake 0.010020
[779/5000][20/535][80176] Loss_D: -0.022368 Loss_G: 0.003967 Loss_D_real: -0.012688 Loss_D_fake 0.009680
[779/5000][25/535][80177] Loss_D: -0.023639 Loss_G: 0.000449 Loss_D_real: -0.005026 Loss_D_fake 0.018613
[779/5000][30/535][80178] Loss_D: -0.023128 Loss_G: 0.004408 Loss_D_real: -0.011180 Loss_D_fake 0.011948
[779/5000][35/535][80179] Loss_D: -0.022745 Loss_G: -0.016833 Loss_D_real: 0.001942 Loss_D_fake 0.024687
[779/5000][40/535][80180] Loss_D: -0.022492 Loss_G: 0.012687 Loss_D_real: -0.031279 Loss_D_fake -0.008787
[779/5000][45/535][80181] Loss_D: -0.023435 Loss_G: 0.008862 Loss_D_real: -0.015728 Loss_D_fake 0.007707
[779/5000][50/535][80182] Loss_D: -0.023671 Loss_G: 0.010297 Loss_D_real: -0.024439 Loss_D_fake -0.000769
[779/5000][55/535][80183] Loss_D: -0.023520 Loss_G: 0.011809 Loss_D_real: -0.020036 Loss_D_fake 0.003484
[779/5000][60/535][80184] Loss_D: -0.023553 Loss_G: 0.015604 Loss_D_real: -0.026493 Loss_D_fake -0.002940
[779/5000][65/535][80185] Loss_D: -0.024466 Loss_G: 0.016411 Loss_D_real: -0.021752 Loss_D_fake 0.002715
[779/5000][70/535][80186] Loss_D: -0.024919 Loss_G: 0.008247 Loss_D_real: -0.016856 Loss_D_fake 0.008063
[779/5000][75/535][80187] Loss_D: -0.023275 Loss_G: -0.012212 Loss_D_real: -0.003857 Loss_D_fake 0.019419
[779/5000][80/535][80188] Loss_D: -0.023408 Loss_G: 0.020141 Loss_D_real: -0.025917 Loss_D_fake -0.002509
[779/5000][85/535][80189] Loss_D: -0.022925 Loss_G: 0.022397 Loss_D_real: -0.016782 Loss_D_fake 0.006142
[779/5000][90/535][80190] Loss_D: -0.023276 Loss_G: 0.007858 Loss_D_real: -0.021136 Loss_D_fake 0.002140
[779/5000][95/535][80191] Loss_D: -0.023098 Loss_G: 0.027281 Loss_D_real: -0.035356 Loss_D_fake -0.012258
[779/5000][100/535][80192] Loss_D: -0.024434 Loss_G: -0.007733 Loss_D_real: -0.014610 Loss_D_fake 0.009824
[779/5000][105/535][80193] Loss_D: -0.024243 Loss_G: -0.000758 Loss_D_real: -0.010512 Loss_D_fake 0.013731
[779/5000][110/535][80194] Loss_D: -0.022161 Loss_G: 0.020508 Loss_D_real: -0.030927 Loss_D_fake -0.008766
[779/5000][115/535][80195] Loss_D: -0.023232 Loss_G: -0.000404 Loss_D_real: -0.013465 Loss_D_fake 0.009767
[779/5000][120/535][80196] Loss_D: -0.022469 Loss_G: 0.013970 Loss_D_real: -0.029610 Loss_D_fake -0.007141
[779/5000][125/535][80197] Loss_D: -0.023924 Loss_G: 0.019244 Loss_D_real: -0.018976 Loss_D_fake 0.004949
[779/5000][130/535][80198] Loss_D: -0.023408 Loss_G: -0.007524 Loss_D_real: -0.013837 Loss_D_fake 0.009570
[779/5000][135/535][80199] Loss_D: -0.023948 Loss_G: 0.020373 Loss_D_real: -0.028391 Loss_D_fake -0.004443
[779/5000][140/535][80200] Loss_D: -0.023835 Loss_G: -0.008966 Loss_D_real: -0.010473 Loss_D_fake 0.013362
[779/5000][145/535][80201] Loss_D: -0.024147 Loss_G: 0.009111 Loss_D_real: -0.015959 Loss_D_fake 0.008188
[779/5000][150/535][80202] Loss_D: -0.022683 Loss_G: -0.001708 Loss_D_real: -0.019061 Loss_D_fake 0.003622
[779/5000][155/535][80203] Loss_D: -0.022579 Loss_G: 0.014826 Loss_D_real: -0.025156 Loss_D_fake -0.002577
[779/5000][160/535][80204] Loss_D: -0.023869 Loss_G: -0.014030 Loss_D_real: -0.002175 Loss_D_fake 0.021694
[779/5000][165/535][80205] Loss_D: -0.023205 Loss_G: -0.005852 Loss_D_real: -0.013161 Loss_D_fake 0.010044
[779/5000][170/535][80206] Loss_D: -0.024292 Loss_G: 0.016759 Loss_D_real: -0.021899 Loss_D_fake 0.002393
[779/5000][175/535][80207] Loss_D: -0.024965 Loss_G: 0.028008 Loss_D_real: -0.024300 Loss_D_fake 0.000665
[779/5000][180/535][80208] Loss_D: -0.025790 Loss_G: 0.004988 Loss_D_real: -0.012976 Loss_D_fake 0.012814
[779/5000][185/535][80209] Loss_D: -0.024454 Loss_G: 0.022405 Loss_D_real: -0.030854 Loss_D_fake -0.006400
[779/5000][190/535][80210] Loss_D: -0.025532 Loss_G: 0.017224 Loss_D_real: -0.021542 Loss_D_fake 0.003990
[779/5000][195/535][80211] Loss_D: -0.025455 Loss_G: 0.011201 Loss_D_real: -0.017702 Loss_D_fake 0.007753
[779/5000][200/535][80212] Loss_D: -0.023906 Loss_G: 0.015971 Loss_D_real: -0.022997 Loss_D_fake 0.000910
[779/5000][205/535][80213] Loss_D: -0.022521 Loss_G: 0.000764 Loss_D_real: -0.008370 Loss_D_fake 0.014151
[779/5000][210/535][80214] Loss_D: -0.023867 Loss_G: 0.005696 Loss_D_real: -0.019911 Loss_D_fake 0.003956
[779/5000][215/535][80215] Loss_D: -0.023889 Loss_G: 0.012635 Loss_D_real: -0.023381 Loss_D_fake 0.000507
[779/5000][220/535][80216] Loss_D: -0.025980 Loss_G: 0.004443 Loss_D_real: -0.019426 Loss_D_fake 0.006554
[779/5000][225/535][80217] Loss_D: -0.022804 Loss_G: 0.027616 Loss_D_real: -0.026837 Loss_D_fake -0.004034
[779/5000][230/535][80218] Loss_D: -0.023903 Loss_G: 0.008754 Loss_D_real: -0.021874 Loss_D_fake 0.002030
[779/5000][235/535][80219] Loss_D: -0.025325 Loss_G: 0.018191 Loss_D_real: -0.023038 Loss_D_fake 0.002287
[779/5000][240/535][80220] Loss_D: -0.023660 Loss_G: 0.005700 Loss_D_real: -0.004968 Loss_D_fake 0.018692
[779/5000][245/535][80221] Loss_D: -0.023460 Loss_G: 0.018961 Loss_D_real: -0.030550 Loss_D_fake -0.007090
[779/5000][250/535][80222] Loss_D: -0.024224 Loss_G: 0.010367 Loss_D_real: -0.028194 Loss_D_fake -0.003970
[779/5000][255/535][80223] Loss_D: -0.024096 Loss_G: -0.006654 Loss_D_real: -0.013366 Loss_D_fake 0.010730
[779/5000][260/535][80224] Loss_D: -0.024033 Loss_G: 0.014282 Loss_D_real: -0.025764 Loss_D_fake -0.001730
[779/5000][265/535][80225] Loss_D: -0.024276 Loss_G: -0.005705 Loss_D_real: -0.012554 Loss_D_fake 0.011722
[779/5000][270/535][80226] Loss_D: -0.022080 Loss_G: 0.028562 Loss_D_real: -0.037496 Loss_D_fake -0.015416
[779/5000][275/535][80227] Loss_D: -0.024527 Loss_G: 0.008340 Loss_D_real: -0.022399 Loss_D_fake 0.002128
[779/5000][280/535][80228] Loss_D: -0.024570 Loss_G: 0.011916 Loss_D_real: -0.020542 Loss_D_fake 0.004028
[779/5000][285/535][80229] Loss_D: -0.022864 Loss_G: 0.015055 Loss_D_real: -0.024405 Loss_D_fake -0.001541
[779/5000][290/535][80230] Loss_D: -0.024110 Loss_G: 0.014127 Loss_D_real: -0.026511 Loss_D_fake -0.002401
[779/5000][295/535][80231] Loss_D: -0.025052 Loss_G: -0.010515 Loss_D_real: -0.008534 Loss_D_fake 0.016517
[779/5000][300/535][80232] Loss_D: -0.022897 Loss_G: 0.006931 Loss_D_real: -0.029470 Loss_D_fake -0.006573
[779/5000][305/535][80233] Loss_D: -0.023633 Loss_G: 0.021891 Loss_D_real: -0.024801 Loss_D_fake -0.001168
[779/5000][310/535][80234] Loss_D: -0.023166 Loss_G: 0.016426 Loss_D_real: -0.032306 Loss_D_fake -0.009140
[779/5000][315/535][80235] Loss_D: -0.023028 Loss_G: 0.032366 Loss_D_real: -0.038411 Loss_D_fake -0.015382
[779/5000][320/535][80236] Loss_D: -0.024424 Loss_G: -0.007095 Loss_D_real: -0.013045 Loss_D_fake 0.011379
[779/5000][325/535][80237] Loss_D: -0.024668 Loss_G: 0.020488 Loss_D_real: -0.017735 Loss_D_fake 0.006933
[779/5000][330/535][80238] Loss_D: -0.023966 Loss_G: 0.002555 Loss_D_real: -0.026146 Loss_D_fake -0.002179
[779/5000][335/535][80239] Loss_D: -0.025068 Loss_G: -0.003642 Loss_D_real: -0.018546 Loss_D_fake 0.006522
[779/5000][340/535][80240] Loss_D: -0.022252 Loss_G: 0.022018 Loss_D_real: -0.024552 Loss_D_fake -0.002300
[779/5000][345/535][80241] Loss_D: -0.024377 Loss_G: 0.001335 Loss_D_real: -0.013309 Loss_D_fake 0.011068
[779/5000][350/535][80242] Loss_D: -0.022866 Loss_G: 0.015891 Loss_D_real: -0.020370 Loss_D_fake 0.002496
[779/5000][355/535][80243] Loss_D: -0.023570 Loss_G: -0.008295 Loss_D_real: -0.012135 Loss_D_fake 0.011435
[779/5000][360/535][80244] Loss_D: -0.021343 Loss_G: 0.018115 Loss_D_real: -0.023456 Loss_D_fake -0.002113
[779/5000][365/535][80245] Loss_D: -0.024002 Loss_G: 0.012972 Loss_D_real: -0.018779 Loss_D_fake 0.005223
[779/5000][370/535][80246] Loss_D: -0.022676 Loss_G: 0.006183 Loss_D_real: -0.012574 Loss_D_fake 0.010102
[779/5000][375/535][80247] Loss_D: -0.023227 Loss_G: 0.006397 Loss_D_real: -0.015178 Loss_D_fake 0.008049
[779/5000][380/535][80248] Loss_D: -0.024011 Loss_G: 0.009459 Loss_D_real: -0.020301 Loss_D_fake 0.003710
[779/5000][385/535][80249] Loss_D: -0.025278 Loss_G: 0.008219 Loss_D_real: -0.013951 Loss_D_fake 0.011327
[779/5000][390/535][80250] Loss_D: -0.023253 Loss_G: 0.018326 Loss_D_real: -0.029734 Loss_D_fake -0.006481
[779/5000][395/535][80251] Loss_D: -0.024908 Loss_G: -0.010209 Loss_D_real: -0.014397 Loss_D_fake 0.010511
[779/5000][400/535][80252] Loss_D: -0.024247 Loss_G: 0.009705 Loss_D_real: -0.013831 Loss_D_fake 0.010416
[779/5000][405/535][80253] Loss_D: -0.023181 Loss_G: 0.023678 Loss_D_real: -0.030977 Loss_D_fake -0.007796
[779/5000][410/535][80254] Loss_D: -0.024014 Loss_G: 0.016340 Loss_D_real: -0.016070 Loss_D_fake 0.007944
[779/5000][415/535][80255] Loss_D: -0.023155 Loss_G: 0.006358 Loss_D_real: -0.014066 Loss_D_fake 0.009089
[779/5000][420/535][80256] Loss_D: -0.024385 Loss_G: 0.022954 Loss_D_real: -0.023185 Loss_D_fake 0.001200
[779/5000][425/535][80257] Loss_D: -0.024658 Loss_G: 0.015315 Loss_D_real: -0.031289 Loss_D_fake -0.006631
[779/5000][430/535][80258] Loss_D: -0.023558 Loss_G: 0.007212 Loss_D_real: -0.015867 Loss_D_fake 0.007692
[779/5000][435/535][80259] Loss_D: -0.023246 Loss_G: 0.008144 Loss_D_real: -0.020365 Loss_D_fake 0.002882
[779/5000][440/535][80260] Loss_D: -0.022778 Loss_G: -0.006217 Loss_D_real: -0.013474 Loss_D_fake 0.009305
[779/5000][445/535][80261] Loss_D: -0.024166 Loss_G: 0.013154 Loss_D_real: -0.020639 Loss_D_fake 0.003527
[779/5000][450/535][80262] Loss_D: -0.022530 Loss_G: -0.015093 Loss_D_real: -0.003699 Loss_D_fake 0.018830
[779/5000][455/535][80263] Loss_D: -0.023636 Loss_G: 0.006118 Loss_D_real: -0.022122 Loss_D_fake 0.001513
[779/5000][460/535][80264] Loss_D: -0.023110 Loss_G: -0.011575 Loss_D_real: -0.007751 Loss_D_fake 0.015359
[779/5000][465/535][80265] Loss_D: -0.022338 Loss_G: 0.004114 Loss_D_real: -0.011307 Loss_D_fake 0.011031
[779/5000][470/535][80266] Loss_D: -0.023348 Loss_G: 0.000903 Loss_D_real: -0.019722 Loss_D_fake 0.003626
[779/5000][475/535][80267] Loss_D: -0.022711 Loss_G: 0.026674 Loss_D_real: -0.034038 Loss_D_fake -0.011327
[779/5000][480/535][80268] Loss_D: -0.023584 Loss_G: 0.010277 Loss_D_real: -0.024125 Loss_D_fake -0.000541
[779/5000][485/535][80269] Loss_D: -0.022294 Loss_G: 0.034425 Loss_D_real: -0.038833 Loss_D_fake -0.016539
[779/5000][490/535][80270] Loss_D: -0.023817 Loss_G: -0.004857 Loss_D_real: -0.006232 Loss_D_fake 0.017585
[779/5000][495/535][80271] Loss_D: -0.022729 Loss_G: 0.009720 Loss_D_real: -0.022457 Loss_D_fake 0.000272
[779/5000][500/535][80272] Loss_D: -0.022624 Loss_G: 0.002205 Loss_D_real: -0.014194 Loss_D_fake 0.008430
[779/5000][505/535][80273] Loss_D: -0.023897 Loss_G: 0.009774 Loss_D_real: -0.021304 Loss_D_fake 0.002593
[779/5000][510/535][80274] Loss_D: -0.024919 Loss_G: 0.004556 Loss_D_real: -0.017524 Loss_D_fake 0.007395
[779/5000][515/535][80275] Loss_D: -0.024362 Loss_G: 0.019480 Loss_D_real: -0.016767 Loss_D_fake 0.007594
[779/5000][520/535][80276] Loss_D: -0.024443 Loss_G: 0.003260 Loss_D_real: -0.004956 Loss_D_fake 0.019487
[779/5000][525/535][80277] Loss_D: -0.024678 Loss_G: 0.000066 Loss_D_real: -0.015998 Loss_D_fake 0.008681
[779/5000][530/535][80278] Loss_D: -0.024431 Loss_G: 0.011636 Loss_D_real: -0.020700 Loss_D_fake 0.003731
[779/5000][535/535][80279] Loss_D: -0.024590 Loss_G: 0.010800 Loss_D_real: -0.015408 Loss_D_fake 0.009182
[780/5000][5/535][80280] Loss_D: -0.023703 Loss_G: 0.006503 Loss_D_real: -0.026522 Loss_D_fake -0.002819
[780/5000][10/535][80281] Loss_D: -0.023970 Loss_G: 0.010513 Loss_D_real: -0.020269 Loss_D_fake 0.003701
[780/5000][15/535][80282] Loss_D: -0.024420 Loss_G: 0.014962 Loss_D_real: -0.024836 Loss_D_fake -0.000417
[780/5000][20/535][80283] Loss_D: -0.023529 Loss_G: 0.001264 Loss_D_real: -0.016078 Loss_D_fake 0.007451
[780/5000][25/535][80284] Loss_D: -0.023152 Loss_G: 0.007654 Loss_D_real: -0.018113 Loss_D_fake 0.005039
[780/5000][30/535][80285] Loss_D: -0.023902 Loss_G: 0.006746 Loss_D_real: -0.008983 Loss_D_fake 0.014919
[780/5000][35/535][80286] Loss_D: -0.023683 Loss_G: 0.013333 Loss_D_real: -0.012010 Loss_D_fake 0.011673
[780/5000][40/535][80287] Loss_D: -0.022820 Loss_G: 0.019993 Loss_D_real: -0.035282 Loss_D_fake -0.012462
[780/5000][45/535][80288] Loss_D: -0.023481 Loss_G: 0.008781 Loss_D_real: -0.019735 Loss_D_fake 0.003746
[780/5000][50/535][80289] Loss_D: -0.022501 Loss_G: -0.002559 Loss_D_real: -0.007664 Loss_D_fake 0.014837
[780/5000][55/535][80290] Loss_D: -0.023841 Loss_G: 0.005288 Loss_D_real: -0.010317 Loss_D_fake 0.013524
[780/5000][60/535][80291] Loss_D: -0.024757 Loss_G: -0.017894 Loss_D_real: -0.006378 Loss_D_fake 0.018379
[780/5000][65/535][80292] Loss_D: -0.022477 Loss_G: 0.026439 Loss_D_real: -0.036259 Loss_D_fake -0.013781
[780/5000][70/535][80293] Loss_D: -0.023325 Loss_G: 0.007419 Loss_D_real: -0.023153 Loss_D_fake 0.000172
[780/5000][75/535][80294] Loss_D: -0.025760 Loss_G: 0.028021 Loss_D_real: -0.023687 Loss_D_fake 0.002073
[780/5000][80/535][80295] Loss_D: -0.023587 Loss_G: 0.004081 Loss_D_real: -0.021209 Loss_D_fake 0.002377
[780/5000][85/535][80296] Loss_D: -0.024717 Loss_G: -0.001826 Loss_D_real: -0.016114 Loss_D_fake 0.008603
[780/5000][90/535][80297] Loss_D: -0.024428 Loss_G: 0.006926 Loss_D_real: -0.018057 Loss_D_fake 0.006371
[780/5000][95/535][80298] Loss_D: -0.024863 Loss_G: 0.002754 Loss_D_real: -0.021587 Loss_D_fake 0.003276
[780/5000][100/535][80299] Loss_D: -0.024681 Loss_G: 0.009199 Loss_D_real: -0.011195 Loss_D_fake 0.013486
[780/5000][105/535][80300] Loss_D: -0.023858 Loss_G: -0.005605 Loss_D_real: -0.018601 Loss_D_fake 0.005257
[780/5000][110/535][80301] Loss_D: -0.023264 Loss_G: 0.022238 Loss_D_real: -0.019569 Loss_D_fake 0.003695
[780/5000][115/535][80302] Loss_D: -0.023687 Loss_G: 0.001191 Loss_D_real: -0.002861 Loss_D_fake 0.020826
[780/5000][120/535][80303] Loss_D: -0.023097 Loss_G: -0.008111 Loss_D_real: 0.004663 Loss_D_fake 0.027760
[780/5000][125/535][80304] Loss_D: -0.023687 Loss_G: 0.008161 Loss_D_real: -0.009570 Loss_D_fake 0.014117
[780/5000][130/535][80305] Loss_D: -0.022917 Loss_G: -0.003500 Loss_D_real: -0.011696 Loss_D_fake 0.011221
[780/5000][135/535][80306] Loss_D: -0.024604 Loss_G: 0.008841 Loss_D_real: -0.017230 Loss_D_fake 0.007375
[780/5000][140/535][80307] Loss_D: -0.024461 Loss_G: 0.001900 Loss_D_real: -0.016193 Loss_D_fake 0.008267
[780/5000][145/535][80308] Loss_D: -0.023291 Loss_G: 0.026202 Loss_D_real: -0.029728 Loss_D_fake -0.006437
[780/5000][150/535][80309] Loss_D: -0.022230 Loss_G: 0.040152 Loss_D_real: -0.035190 Loss_D_fake -0.012960
[780/5000][155/535][80310] Loss_D: -0.023551 Loss_G: -0.005364 Loss_D_real: -0.008938 Loss_D_fake 0.014613
[780/5000][160/535][80311] Loss_D: -0.022595 Loss_G: 0.009906 Loss_D_real: -0.022389 Loss_D_fake 0.000206
[780/5000][165/535][80312] Loss_D: -0.024892 Loss_G: 0.012259 Loss_D_real: -0.023709 Loss_D_fake 0.001183
[780/5000][170/535][80313] Loss_D: -0.023575 Loss_G: 0.007198 Loss_D_real: -0.022831 Loss_D_fake 0.000744
[780/5000][175/535][80314] Loss_D: -0.025727 Loss_G: -0.001908 Loss_D_real: -0.021383 Loss_D_fake 0.004344
[780/5000][180/535][80315] Loss_D: -0.024446 Loss_G: 0.028525 Loss_D_real: -0.031031 Loss_D_fake -0.006585
[780/5000][185/535][80316] Loss_D: -0.025243 Loss_G: 0.020942 Loss_D_real: -0.020512 Loss_D_fake 0.004731
[780/5000][190/535][80317] Loss_D: -0.023519 Loss_G: 0.020961 Loss_D_real: -0.029673 Loss_D_fake -0.006154
[780/5000][195/535][80318] Loss_D: -0.024284 Loss_G: 0.001073 Loss_D_real: -0.009215 Loss_D_fake 0.015070
[780/5000][200/535][80319] Loss_D: -0.022903 Loss_G: 0.005960 Loss_D_real: -0.031510 Loss_D_fake -0.008607
[780/5000][205/535][80320] Loss_D: -0.024023 Loss_G: -0.004260 Loss_D_real: -0.009886 Loss_D_fake 0.014137
[780/5000][210/535][80321] Loss_D: -0.024118 Loss_G: 0.009630 Loss_D_real: -0.014289 Loss_D_fake 0.009829
[780/5000][215/535][80322] Loss_D: -0.023288 Loss_G: 0.013707 Loss_D_real: -0.025260 Loss_D_fake -0.001972
[780/5000][220/535][80323] Loss_D: -0.023609 Loss_G: 0.001442 Loss_D_real: -0.004691 Loss_D_fake 0.018917
[780/5000][225/535][80324] Loss_D: -0.021813 Loss_G: 0.016768 Loss_D_real: -0.027966 Loss_D_fake -0.006154
[780/5000][230/535][80325] Loss_D: -0.024482 Loss_G: 0.003215 Loss_D_real: -0.023457 Loss_D_fake 0.001026
[780/5000][235/535][80326] Loss_D: -0.023247 Loss_G: 0.015833 Loss_D_real: -0.025132 Loss_D_fake -0.001885
[780/5000][240/535][80327] Loss_D: -0.024156 Loss_G: -0.001959 Loss_D_real: -0.004382 Loss_D_fake 0.019774
[780/5000][245/535][80328] Loss_D: -0.023800 Loss_G: 0.009817 Loss_D_real: -0.027942 Loss_D_fake -0.004142
[780/5000][250/535][80329] Loss_D: -0.025480 Loss_G: 0.014727 Loss_D_real: -0.025363 Loss_D_fake 0.000118
[780/5000][255/535][80330] Loss_D: -0.024332 Loss_G: 0.010237 Loss_D_real: -0.025500 Loss_D_fake -0.001168
[780/5000][260/535][80331] Loss_D: -0.024503 Loss_G: 0.007694 Loss_D_real: -0.021848 Loss_D_fake 0.002655
[780/5000][265/535][80332] Loss_D: -0.022897 Loss_G: 0.016417 Loss_D_real: -0.030218 Loss_D_fake -0.007322
[780/5000][270/535][80333] Loss_D: -0.024677 Loss_G: 0.026437 Loss_D_real: -0.026712 Loss_D_fake -0.002036
[780/5000][275/535][80334] Loss_D: -0.023663 Loss_G: 0.011917 Loss_D_real: -0.028698 Loss_D_fake -0.005035
[780/5000][280/535][80335] Loss_D: -0.023659 Loss_G: 0.010532 Loss_D_real: -0.020694 Loss_D_fake 0.002964
[780/5000][285/535][80336] Loss_D: -0.024939 Loss_G: 0.001906 Loss_D_real: -0.013888 Loss_D_fake 0.011051
[780/5000][290/535][80337] Loss_D: -0.023065 Loss_G: 0.018769 Loss_D_real: -0.042539 Loss_D_fake -0.019473
[780/5000][295/535][80338] Loss_D: -0.023312 Loss_G: 0.007411 Loss_D_real: -0.014403 Loss_D_fake 0.008909
[780/5000][300/535][80339] Loss_D: -0.023020 Loss_G: 0.009542 Loss_D_real: -0.015044 Loss_D_fake 0.007976
[780/5000][305/535][80340] Loss_D: -0.023879 Loss_G: 0.003303 Loss_D_real: -0.017240 Loss_D_fake 0.006639
[780/5000][310/535][80341] Loss_D: -0.023513 Loss_G: 0.014494 Loss_D_real: -0.017482 Loss_D_fake 0.006030
[780/5000][315/535][80342] Loss_D: -0.024127 Loss_G: 0.009628 Loss_D_real: -0.021320 Loss_D_fake 0.002807
[780/5000][320/535][80343] Loss_D: -0.023760 Loss_G: -0.004966 Loss_D_real: -0.012949 Loss_D_fake 0.010812
[780/5000][325/535][80344] Loss_D: -0.023449 Loss_G: 0.011895 Loss_D_real: -0.013976 Loss_D_fake 0.009473
[780/5000][330/535][80345] Loss_D: -0.022280 Loss_G: -0.005272 Loss_D_real: -0.015209 Loss_D_fake 0.007071
[780/5000][335/535][80346] Loss_D: -0.021642 Loss_G: -0.012693 Loss_D_real: 0.005823 Loss_D_fake 0.027465
[780/5000][340/535][80347] Loss_D: -0.022562 Loss_G: 0.017565 Loss_D_real: -0.027996 Loss_D_fake -0.005433
[780/5000][345/535][80348] Loss_D: -0.023745 Loss_G: -0.000896 Loss_D_real: -0.016991 Loss_D_fake 0.006755
[780/5000][350/535][80349] Loss_D: -0.023041 Loss_G: 0.023187 Loss_D_real: -0.026587 Loss_D_fake -0.003546
[780/5000][355/535][80350] Loss_D: -0.022034 Loss_G: 0.013798 Loss_D_real: -0.024334 Loss_D_fake -0.002300
[780/5000][360/535][80351] Loss_D: -0.024237 Loss_G: 0.013227 Loss_D_real: -0.025895 Loss_D_fake -0.001658
[780/5000][365/535][80352] Loss_D: -0.025342 Loss_G: -0.008142 Loss_D_real: -0.014153 Loss_D_fake 0.011189
[780/5000][370/535][80353] Loss_D: -0.021837 Loss_G: 0.023652 Loss_D_real: -0.027616 Loss_D_fake -0.005779
[780/5000][375/535][80354] Loss_D: -0.025493 Loss_G: -0.021319 Loss_D_real: -0.009222 Loss_D_fake 0.016271
[780/5000][380/535][80355] Loss_D: -0.023261 Loss_G: 0.012715 Loss_D_real: -0.021086 Loss_D_fake 0.002174
[780/5000][385/535][80356] Loss_D: -0.024057 Loss_G: 0.014578 Loss_D_real: -0.021242 Loss_D_fake 0.002815
[780/5000][390/535][80357] Loss_D: -0.024628 Loss_G: 0.008503 Loss_D_real: -0.006752 Loss_D_fake 0.017876
[780/5000][395/535][80358] Loss_D: -0.023299 Loss_G: -0.008672 Loss_D_real: -0.006224 Loss_D_fake 0.017075
[780/5000][400/535][80359] Loss_D: -0.024770 Loss_G: 0.024282 Loss_D_real: -0.022731 Loss_D_fake 0.002039
[780/5000][405/535][80360] Loss_D: -0.024213 Loss_G: 0.003384 Loss_D_real: -0.020416 Loss_D_fake 0.003797
[780/5000][410/535][80361] Loss_D: -0.023872 Loss_G: 0.017091 Loss_D_real: -0.027650 Loss_D_fake -0.003778
[780/5000][415/535][80362] Loss_D: -0.023971 Loss_G: 0.013940 Loss_D_real: -0.022131 Loss_D_fake 0.001840
[780/5000][420/535][80363] Loss_D: -0.023690 Loss_G: 0.023452 Loss_D_real: -0.029976 Loss_D_fake -0.006286
[780/5000][425/535][80364] Loss_D: -0.023265 Loss_G: -0.004751 Loss_D_real: -0.007940 Loss_D_fake 0.015326
[780/5000][430/535][80365] Loss_D: -0.024652 Loss_G: 0.007031 Loss_D_real: -0.017046 Loss_D_fake 0.007606
[780/5000][435/535][80366] Loss_D: -0.023519 Loss_G: 0.007303 Loss_D_real: -0.001457 Loss_D_fake 0.022063
[780/5000][440/535][80367] Loss_D: -0.023855 Loss_G: -0.010205 Loss_D_real: -0.012847 Loss_D_fake 0.011008
[780/5000][445/535][80368] Loss_D: -0.022894 Loss_G: 0.018145 Loss_D_real: -0.021203 Loss_D_fake 0.001690
[780/5000][450/535][80369] Loss_D: -0.024043 Loss_G: 0.003634 Loss_D_real: -0.004890 Loss_D_fake 0.019154
[780/5000][455/535][80370] Loss_D: -0.024278 Loss_G: 0.017183 Loss_D_real: -0.025058 Loss_D_fake -0.000780
[780/5000][460/535][80371] Loss_D: -0.025603 Loss_G: -0.010274 Loss_D_real: -0.006277 Loss_D_fake 0.019326
[780/5000][465/535][80372] Loss_D: -0.023069 Loss_G: 0.003804 Loss_D_real: -0.021670 Loss_D_fake 0.001399
[780/5000][470/535][80373] Loss_D: -0.022763 Loss_G: 0.020856 Loss_D_real: -0.022681 Loss_D_fake 0.000082
[780/5000][475/535][80374] Loss_D: -0.023479 Loss_G: 0.016197 Loss_D_real: -0.021463 Loss_D_fake 0.002015
[780/5000][480/535][80375] Loss_D: -0.025205 Loss_G: -0.002721 Loss_D_real: -0.015179 Loss_D_fake 0.010026
[780/5000][485/535][80376] Loss_D: -0.023976 Loss_G: 0.013543 Loss_D_real: -0.024508 Loss_D_fake -0.000532
[780/5000][490/535][80377] Loss_D: -0.025202 Loss_G: 0.014907 Loss_D_real: -0.013680 Loss_D_fake 0.011522
[780/5000][495/535][80378] Loss_D: -0.024898 Loss_G: 0.021436 Loss_D_real: -0.015950 Loss_D_fake 0.008947
[780/5000][500/535][80379] Loss_D: -0.026504 Loss_G: 0.015258 Loss_D_real: -0.025393 Loss_D_fake 0.001112
[780/5000][505/535][80380] Loss_D: -0.024593 Loss_G: -0.003082 Loss_D_real: -0.006306 Loss_D_fake 0.018287
[780/5000][510/535][80381] Loss_D: -0.025998 Loss_G: 0.005073 Loss_D_real: -0.015406 Loss_D_fake 0.010592
[780/5000][515/535][80382] Loss_D: -0.024389 Loss_G: 0.008692 Loss_D_real: -0.017361 Loss_D_fake 0.007029
[780/5000][520/535][80383] Loss_D: -0.023508 Loss_G: -0.012476 Loss_D_real: -0.006183 Loss_D_fake 0.017325
[780/5000][525/535][80384] Loss_D: -0.023860 Loss_G: 0.015150 Loss_D_real: -0.023275 Loss_D_fake 0.000585
[780/5000][530/535][80385] Loss_D: -0.024510 Loss_G: 0.020431 Loss_D_real: -0.025814 Loss_D_fake -0.001304
[780/5000][535/535][80386] Loss_D: -0.025163 Loss_G: 0.024260 Loss_D_real: -0.022875 Loss_D_fake 0.002288
[781/5000][5/535][80387] Loss_D: -0.022914 Loss_G: 0.000581 Loss_D_real: -0.018194 Loss_D_fake 0.004720
[781/5000][10/535][80388] Loss_D: -0.024943 Loss_G: -0.002335 Loss_D_real: -0.014773 Loss_D_fake 0.010171
[781/5000][15/535][80389] Loss_D: -0.023596 Loss_G: 0.017605 Loss_D_real: -0.036430 Loss_D_fake -0.012834
[781/5000][20/535][80390] Loss_D: -0.025172 Loss_G: 0.009593 Loss_D_real: -0.014282 Loss_D_fake 0.010890
[781/5000][25/535][80391] Loss_D: -0.023359 Loss_G: 0.013320 Loss_D_real: -0.017435 Loss_D_fake 0.005924
[781/5000][30/535][80392] Loss_D: -0.024300 Loss_G: 0.010370 Loss_D_real: -0.012162 Loss_D_fake 0.012137
[781/5000][35/535][80393] Loss_D: -0.021770 Loss_G: 0.024182 Loss_D_real: -0.035778 Loss_D_fake -0.014008
[781/5000][40/535][80394] Loss_D: -0.023855 Loss_G: -0.002992 Loss_D_real: -0.009858 Loss_D_fake 0.013996
[781/5000][45/535][80395] Loss_D: -0.023637 Loss_G: 0.011231 Loss_D_real: -0.023959 Loss_D_fake -0.000321
[781/5000][50/535][80396] Loss_D: -0.022517 Loss_G: -0.009310 Loss_D_real: -0.008309 Loss_D_fake 0.014208
[781/5000][55/535][80397] Loss_D: -0.023296 Loss_G: 0.010825 Loss_D_real: -0.018897 Loss_D_fake 0.004399
[781/5000][60/535][80398] Loss_D: -0.022992 Loss_G: 0.007905 Loss_D_real: -0.018466 Loss_D_fake 0.004526
[781/5000][65/535][80399] Loss_D: -0.023592 Loss_G: -0.001250 Loss_D_real: -0.010742 Loss_D_fake 0.012849
[781/5000][70/535][80400] Loss_D: -0.023679 Loss_G: 0.001979 Loss_D_real: -0.015451 Loss_D_fake 0.008228
[781/5000][75/535][80401] Loss_D: -0.024150 Loss_G: 0.007483 Loss_D_real: -0.023057 Loss_D_fake 0.001093
[781/5000][80/535][80402] Loss_D: -0.024160 Loss_G: 0.025359 Loss_D_real: -0.025469 Loss_D_fake -0.001310
[781/5000][85/535][80403] Loss_D: -0.024134 Loss_G: 0.007101 Loss_D_real: -0.018591 Loss_D_fake 0.005544
[781/5000][90/535][80404] Loss_D: -0.023555 Loss_G: 0.023193 Loss_D_real: -0.034286 Loss_D_fake -0.010731
[781/5000][95/535][80405] Loss_D: -0.023599 Loss_G: -0.002185 Loss_D_real: -0.015255 Loss_D_fake 0.008344
[781/5000][100/535][80406] Loss_D: -0.021880 Loss_G: 0.020043 Loss_D_real: -0.040766 Loss_D_fake -0.018886
[781/5000][105/535][80407] Loss_D: -0.022931 Loss_G: -0.003110 Loss_D_real: -0.013141 Loss_D_fake 0.009790
[781/5000][110/535][80408] Loss_D: -0.024248 Loss_G: 0.025133 Loss_D_real: -0.029704 Loss_D_fake -0.005456
[781/5000][115/535][80409] Loss_D: -0.024411 Loss_G: 0.010602 Loss_D_real: -0.015680 Loss_D_fake 0.008731
[781/5000][120/535][80410] Loss_D: -0.023458 Loss_G: 0.006629 Loss_D_real: -0.016877 Loss_D_fake 0.006582
[781/5000][125/535][80411] Loss_D: -0.024848 Loss_G: -0.000657 Loss_D_real: -0.016828 Loss_D_fake 0.008020
[781/5000][130/535][80412] Loss_D: -0.023105 Loss_G: 0.005917 Loss_D_real: -0.026558 Loss_D_fake -0.003452
[781/5000][135/535][80413] Loss_D: -0.023551 Loss_G: 0.025016 Loss_D_real: -0.016659 Loss_D_fake 0.006891
[781/5000][140/535][80414] Loss_D: -0.023248 Loss_G: 0.026713 Loss_D_real: -0.025597 Loss_D_fake -0.002349
[781/5000][145/535][80415] Loss_D: -0.023829 Loss_G: 0.012102 Loss_D_real: -0.020337 Loss_D_fake 0.003492
[781/5000][150/535][80416] Loss_D: -0.022912 Loss_G: 0.026888 Loss_D_real: -0.035760 Loss_D_fake -0.012848
[781/5000][155/535][80417] Loss_D: -0.024191 Loss_G: -0.009140 Loss_D_real: -0.000674 Loss_D_fake 0.023517
[781/5000][160/535][80418] Loss_D: -0.022964 Loss_G: 0.018900 Loss_D_real: -0.024716 Loss_D_fake -0.001752
[781/5000][165/535][80419] Loss_D: -0.022729 Loss_G: 0.009816 Loss_D_real: -0.010410 Loss_D_fake 0.012319
[781/5000][170/535][80420] Loss_D: -0.022606 Loss_G: 0.011341 Loss_D_real: -0.021273 Loss_D_fake 0.001333
[781/5000][175/535][80421] Loss_D: -0.021588 Loss_G: 0.019808 Loss_D_real: -0.020665 Loss_D_fake 0.000923
[781/5000][180/535][80422] Loss_D: -0.024366 Loss_G: 0.006493 Loss_D_real: -0.012952 Loss_D_fake 0.011414
[781/5000][185/535][80423] Loss_D: -0.023375 Loss_G: 0.012618 Loss_D_real: -0.030467 Loss_D_fake -0.007092
[781/5000][190/535][80424] Loss_D: -0.023924 Loss_G: 0.001903 Loss_D_real: -0.010778 Loss_D_fake 0.013146
[781/5000][195/535][80425] Loss_D: -0.023152 Loss_G: 0.003101 Loss_D_real: -0.011099 Loss_D_fake 0.012052
[781/5000][200/535][80426] Loss_D: -0.025591 Loss_G: 0.013653 Loss_D_real: -0.024166 Loss_D_fake 0.001425
[781/5000][205/535][80427] Loss_D: -0.024368 Loss_G: 0.006801 Loss_D_real: -0.016141 Loss_D_fake 0.008227
[781/5000][210/535][80428] Loss_D: -0.023622 Loss_G: -0.007459 Loss_D_real: -0.005442 Loss_D_fake 0.018180
[781/5000][215/535][80429] Loss_D: -0.024185 Loss_G: 0.020053 Loss_D_real: -0.033039 Loss_D_fake -0.008854
[781/5000][220/535][80430] Loss_D: -0.022226 Loss_G: 0.038688 Loss_D_real: -0.029681 Loss_D_fake -0.007454
[781/5000][225/535][80431] Loss_D: -0.024475 Loss_G: -0.009297 Loss_D_real: -0.005513 Loss_D_fake 0.018963
[781/5000][230/535][80432] Loss_D: -0.022854 Loss_G: -0.009156 Loss_D_real: -0.007455 Loss_D_fake 0.015399
[781/5000][235/535][80433] Loss_D: -0.024024 Loss_G: 0.007129 Loss_D_real: -0.030817 Loss_D_fake -0.006793
[781/5000][240/535][80434] Loss_D: -0.022237 Loss_G: 0.019015 Loss_D_real: -0.025105 Loss_D_fake -0.002868
[781/5000][245/535][80435] Loss_D: -0.025431 Loss_G: 0.010603 Loss_D_real: -0.025119 Loss_D_fake 0.000312
[781/5000][250/535][80436] Loss_D: -0.024095 Loss_G: 0.003294 Loss_D_real: -0.010497 Loss_D_fake 0.013598
[781/5000][255/535][80437] Loss_D: -0.023564 Loss_G: 0.002748 Loss_D_real: -0.024976 Loss_D_fake -0.001412
[781/5000][260/535][80438] Loss_D: -0.024346 Loss_G: 0.010264 Loss_D_real: -0.015116 Loss_D_fake 0.009230
[781/5000][265/535][80439] Loss_D: -0.024566 Loss_G: 0.028094 Loss_D_real: -0.031181 Loss_D_fake -0.006616
[781/5000][270/535][80440] Loss_D: -0.023317 Loss_G: 0.024525 Loss_D_real: -0.030877 Loss_D_fake -0.007561
[781/5000][275/535][80441] Loss_D: -0.024544 Loss_G: 0.005275 Loss_D_real: -0.022665 Loss_D_fake 0.001879
[781/5000][280/535][80442] Loss_D: -0.023574 Loss_G: -0.008464 Loss_D_real: -0.005226 Loss_D_fake 0.018348
[781/5000][285/535][80443] Loss_D: -0.024992 Loss_G: -0.001518 Loss_D_real: -0.016979 Loss_D_fake 0.008013
[781/5000][290/535][80444] Loss_D: -0.023583 Loss_G: 0.007589 Loss_D_real: -0.017599 Loss_D_fake 0.005985
[781/5000][295/535][80445] Loss_D: -0.025375 Loss_G: -0.002196 Loss_D_real: -0.015432 Loss_D_fake 0.009943
[781/5000][300/535][80446] Loss_D: -0.026212 Loss_G: 0.004668 Loss_D_real: -0.015312 Loss_D_fake 0.010900
[781/5000][305/535][80447] Loss_D: -0.024202 Loss_G: 0.022044 Loss_D_real: -0.031340 Loss_D_fake -0.007138
[781/5000][310/535][80448] Loss_D: -0.023679 Loss_G: 0.002711 Loss_D_real: -0.011326 Loss_D_fake 0.012353
[781/5000][315/535][80449] Loss_D: -0.023844 Loss_G: 0.022736 Loss_D_real: -0.035698 Loss_D_fake -0.011855
[781/5000][320/535][80450] Loss_D: -0.025685 Loss_G: 0.022391 Loss_D_real: -0.019564 Loss_D_fake 0.006121
[781/5000][325/535][80451] Loss_D: -0.023344 Loss_G: 0.008720 Loss_D_real: -0.019887 Loss_D_fake 0.003457
[781/5000][330/535][80452] Loss_D: -0.022759 Loss_G: 0.024653 Loss_D_real: -0.032432 Loss_D_fake -0.009673
[781/5000][335/535][80453] Loss_D: -0.023273 Loss_G: -0.012932 Loss_D_real: -0.009671 Loss_D_fake 0.013602
[781/5000][340/535][80454] Loss_D: -0.022874 Loss_G: -0.011823 Loss_D_real: -0.004524 Loss_D_fake 0.018350
[781/5000][345/535][80455] Loss_D: -0.023974 Loss_G: 0.007632 Loss_D_real: -0.023424 Loss_D_fake 0.000550
[781/5000][350/535][80456] Loss_D: -0.025669 Loss_G: 0.009808 Loss_D_real: 0.000046 Loss_D_fake 0.025715
[781/5000][355/535][80457] Loss_D: -0.022153 Loss_G: -0.001642 Loss_D_real: -0.005731 Loss_D_fake 0.016422
[781/5000][360/535][80458] Loss_D: -0.024877 Loss_G: 0.016819 Loss_D_real: -0.017163 Loss_D_fake 0.007715
[781/5000][365/535][80459] Loss_D: -0.023766 Loss_G: 0.006304 Loss_D_real: -0.024472 Loss_D_fake -0.000706
[781/5000][370/535][80460] Loss_D: -0.022845 Loss_G: 0.027451 Loss_D_real: -0.038880 Loss_D_fake -0.016035
[781/5000][375/535][80461] Loss_D: -0.024268 Loss_G: -0.000582 Loss_D_real: -0.013752 Loss_D_fake 0.010517
[781/5000][380/535][80462] Loss_D: -0.023421 Loss_G: 0.015077 Loss_D_real: -0.030454 Loss_D_fake -0.007034
[781/5000][385/535][80463] Loss_D: -0.022389 Loss_G: -0.012441 Loss_D_real: -0.003909 Loss_D_fake 0.018480
[781/5000][390/535][80464] Loss_D: -0.023611 Loss_G: 0.021070 Loss_D_real: -0.019704 Loss_D_fake 0.003908
[781/5000][395/535][80465] Loss_D: -0.022737 Loss_G: -0.014201 Loss_D_real: -0.003269 Loss_D_fake 0.019468
[781/5000][400/535][80466] Loss_D: -0.023602 Loss_G: 0.014579 Loss_D_real: -0.023611 Loss_D_fake -0.000010
[781/5000][405/535][80467] Loss_D: -0.022434 Loss_G: 0.019685 Loss_D_real: -0.026050 Loss_D_fake -0.003616
[781/5000][410/535][80468] Loss_D: -0.023827 Loss_G: 0.015670 Loss_D_real: -0.026104 Loss_D_fake -0.002276
[781/5000][415/535][80469] Loss_D: -0.024200 Loss_G: 0.006034 Loss_D_real: -0.025215 Loss_D_fake -0.001015
[781/5000][420/535][80470] Loss_D: -0.022012 Loss_G: 0.020738 Loss_D_real: -0.031931 Loss_D_fake -0.009920
[781/5000][425/535][80471] Loss_D: -0.023676 Loss_G: 0.009032 Loss_D_real: -0.021340 Loss_D_fake 0.002336
[781/5000][430/535][80472] Loss_D: -0.023814 Loss_G: 0.021056 Loss_D_real: -0.028560 Loss_D_fake -0.004746
[781/5000][435/535][80473] Loss_D: -0.024558 Loss_G: 0.007639 Loss_D_real: -0.019124 Loss_D_fake 0.005434
[781/5000][440/535][80474] Loss_D: -0.022535 Loss_G: -0.005470 Loss_D_real: -0.013833 Loss_D_fake 0.008702
[781/5000][445/535][80475] Loss_D: -0.023966 Loss_G: 0.009227 Loss_D_real: -0.028719 Loss_D_fake -0.004752
[781/5000][450/535][80476] Loss_D: -0.025169 Loss_G: 0.019538 Loss_D_real: -0.019857 Loss_D_fake 0.005312
[781/5000][455/535][80477] Loss_D: -0.024311 Loss_G: 0.022428 Loss_D_real: -0.024714 Loss_D_fake -0.000403
[781/5000][460/535][80478] Loss_D: -0.024542 Loss_G: 0.011594 Loss_D_real: -0.018468 Loss_D_fake 0.006075
[781/5000][465/535][80479] Loss_D: -0.025187 Loss_G: 0.012324 Loss_D_real: -0.016433 Loss_D_fake 0.008754
[781/5000][470/535][80480] Loss_D: -0.023813 Loss_G: -0.009250 Loss_D_real: -0.014493 Loss_D_fake 0.009320
[781/5000][475/535][80481] Loss_D: -0.023300 Loss_G: 0.013878 Loss_D_real: -0.021464 Loss_D_fake 0.001836
[781/5000][480/535][80482] Loss_D: -0.023875 Loss_G: 0.010754 Loss_D_real: -0.009333 Loss_D_fake 0.014541
[781/5000][485/535][80483] Loss_D: -0.024223 Loss_G: 0.001021 Loss_D_real: -0.016500 Loss_D_fake 0.007723
[781/5000][490/535][80484] Loss_D: -0.024498 Loss_G: 0.001219 Loss_D_real: -0.009759 Loss_D_fake 0.014739
[781/5000][495/535][80485] Loss_D: -0.023107 Loss_G: 0.026905 Loss_D_real: -0.029551 Loss_D_fake -0.006444
[781/5000][500/535][80486] Loss_D: -0.022783 Loss_G: -0.003269 Loss_D_real: -0.000710 Loss_D_fake 0.022073
[781/5000][505/535][80487] Loss_D: -0.023569 Loss_G: 0.003274 Loss_D_real: -0.022317 Loss_D_fake 0.001252
[781/5000][510/535][80488] Loss_D: -0.023902 Loss_G: 0.007514 Loss_D_real: -0.019526 Loss_D_fake 0.004376
[781/5000][515/535][80489] Loss_D: -0.023378 Loss_G: 0.020497 Loss_D_real: -0.025936 Loss_D_fake -0.002558
[781/5000][520/535][80490] Loss_D: -0.024387 Loss_G: -0.021274 Loss_D_real: -0.006112 Loss_D_fake 0.018274
[781/5000][525/535][80491] Loss_D: -0.023625 Loss_G: -0.006480 Loss_D_real: -0.009862 Loss_D_fake 0.013763
[781/5000][530/535][80492] Loss_D: -0.023559 Loss_G: 0.018248 Loss_D_real: -0.027844 Loss_D_fake -0.004284
[781/5000][535/535][80493] Loss_D: -0.021354 Loss_G: -0.004774 Loss_D_real: -0.020052 Loss_D_fake 0.001302
[782/5000][5/535][80494] Loss_D: -0.023261 Loss_G: 0.000445 Loss_D_real: -0.013335 Loss_D_fake 0.009926
[782/5000][10/535][80495] Loss_D: -0.025209 Loss_G: 0.029672 Loss_D_real: -0.027516 Loss_D_fake -0.002306
[782/5000][15/535][80496] Loss_D: -0.023966 Loss_G: 0.004718 Loss_D_real: -0.008411 Loss_D_fake 0.015554
[782/5000][20/535][80497] Loss_D: -0.022712 Loss_G: -0.002219 Loss_D_real: -0.006043 Loss_D_fake 0.016669
[782/5000][25/535][80498] Loss_D: -0.023123 Loss_G: -0.008151 Loss_D_real: -0.007925 Loss_D_fake 0.015197
[782/5000][30/535][80499] Loss_D: -0.023604 Loss_G: 0.012905 Loss_D_real: -0.012933 Loss_D_fake 0.010671
[782/5000][35/535][80500] Loss_D: -0.024933 Loss_G: 0.007478 Loss_D_real: -0.020704 Loss_D_fake 0.004229
[782/5000][135/535][80501] Loss_D: -0.028043 Loss_G: 0.022006 Loss_D_real: -0.027609 Loss_D_fake 0.000433
[782/5000][140/535][80502] Loss_D: -0.023510 Loss_G: 0.005884 Loss_D_real: -0.016576 Loss_D_fake 0.006933
[782/5000][145/535][80503] Loss_D: -0.021868 Loss_G: 0.013621 Loss_D_real: -0.016530 Loss_D_fake 0.005338
[782/5000][150/535][80504] Loss_D: -0.022011 Loss_G: 0.001943 Loss_D_real: -0.011459 Loss_D_fake 0.010552
[782/5000][155/535][80505] Loss_D: -0.022864 Loss_G: 0.022305 Loss_D_real: -0.035352 Loss_D_fake -0.012488
[782/5000][160/535][80506] Loss_D: -0.023251 Loss_G: 0.015398 Loss_D_real: -0.029848 Loss_D_fake -0.006597
[782/5000][165/535][80507] Loss_D: -0.021746 Loss_G: 0.000580 Loss_D_real: -0.017122 Loss_D_fake 0.004624
[782/5000][170/535][80508] Loss_D: -0.023025 Loss_G: 0.002300 Loss_D_real: -0.009523 Loss_D_fake 0.013502
[782/5000][175/535][80509] Loss_D: -0.023097 Loss_G: 0.014600 Loss_D_real: -0.018248 Loss_D_fake 0.004849
[782/5000][180/535][80510] Loss_D: -0.023274 Loss_G: 0.019205 Loss_D_real: -0.023883 Loss_D_fake -0.000609
[782/5000][185/535][80511] Loss_D: -0.022352 Loss_G: 0.009637 Loss_D_real: -0.017917 Loss_D_fake 0.004434
[782/5000][190/535][80512] Loss_D: -0.023180 Loss_G: 0.010385 Loss_D_real: -0.013315 Loss_D_fake 0.009865
[782/5000][195/535][80513] Loss_D: -0.023404 Loss_G: 0.005183 Loss_D_real: -0.014530 Loss_D_fake 0.008874
[782/5000][200/535][80514] Loss_D: -0.023957 Loss_G: 0.005028 Loss_D_real: -0.015113 Loss_D_fake 0.008844
[782/5000][205/535][80515] Loss_D: -0.023122 Loss_G: 0.014753 Loss_D_real: -0.020991 Loss_D_fake 0.002130
[782/5000][210/535][80516] Loss_D: -0.023175 Loss_G: 0.005408 Loss_D_real: -0.011740 Loss_D_fake 0.011435
[782/5000][215/535][80517] Loss_D: -0.022889 Loss_G: 0.015157 Loss_D_real: -0.025490 Loss_D_fake -0.002601
[782/5000][220/535][80518] Loss_D: -0.022691 Loss_G: 0.022952 Loss_D_real: -0.028605 Loss_D_fake -0.005914
[782/5000][225/535][80519] Loss_D: -0.023266 Loss_G: 0.007399 Loss_D_real: -0.020821 Loss_D_fake 0.002445
[782/5000][230/535][80520] Loss_D: -0.023799 Loss_G: 0.013144 Loss_D_real: -0.019873 Loss_D_fake 0.003926
[782/5000][235/535][80521] Loss_D: -0.024742 Loss_G: -0.001696 Loss_D_real: -0.005858 Loss_D_fake 0.018885
[782/5000][240/535][80522] Loss_D: -0.023622 Loss_G: 0.018076 Loss_D_real: -0.029497 Loss_D_fake -0.005875
[782/5000][245/535][80523] Loss_D: -0.025129 Loss_G: 0.015833 Loss_D_real: -0.013464 Loss_D_fake 0.011665
[782/5000][250/535][80524] Loss_D: -0.023223 Loss_G: 0.006542 Loss_D_real: -0.019623 Loss_D_fake 0.003600
[782/5000][255/535][80525] Loss_D: -0.024382 Loss_G: 0.023826 Loss_D_real: -0.027454 Loss_D_fake -0.003072
[782/5000][260/535][80526] Loss_D: -0.024216 Loss_G: 0.006301 Loss_D_real: -0.016439 Loss_D_fake 0.007778
[782/5000][265/535][80527] Loss_D: -0.024294 Loss_G: 0.008690 Loss_D_real: -0.018314 Loss_D_fake 0.005980
[782/5000][270/535][80528] Loss_D: -0.024372 Loss_G: 0.021595 Loss_D_real: -0.029750 Loss_D_fake -0.005378
[782/5000][275/535][80529] Loss_D: -0.024849 Loss_G: -0.003469 Loss_D_real: -0.005338 Loss_D_fake 0.019511
[782/5000][280/535][80530] Loss_D: -0.024096 Loss_G: 0.000659 Loss_D_real: -0.020880 Loss_D_fake 0.003215
[782/5000][285/535][80531] Loss_D: -0.024707 Loss_G: 0.027602 Loss_D_real: -0.019846 Loss_D_fake 0.004862
[782/5000][290/535][80532] Loss_D: -0.023770 Loss_G: 0.017702 Loss_D_real: -0.032440 Loss_D_fake -0.008670
[782/5000][295/535][80533] Loss_D: -0.025515 Loss_G: 0.008332 Loss_D_real: -0.031688 Loss_D_fake -0.006172
[782/5000][300/535][80534] Loss_D: -0.024870 Loss_G: 0.002606 Loss_D_real: -0.014072 Loss_D_fake 0.010798
[782/5000][305/535][80535] Loss_D: -0.024185 Loss_G: 0.009337 Loss_D_real: -0.023800 Loss_D_fake 0.000385
[782/5000][310/535][80536] Loss_D: -0.023567 Loss_G: 0.013482 Loss_D_real: -0.012239 Loss_D_fake 0.011328
[782/5000][315/535][80537] Loss_D: -0.023103 Loss_G: -0.000687 Loss_D_real: -0.015003 Loss_D_fake 0.008100
[782/5000][320/535][80538] Loss_D: -0.023332 Loss_G: 0.020452 Loss_D_real: -0.029811 Loss_D_fake -0.006479
[782/5000][325/535][80539] Loss_D: -0.024828 Loss_G: 0.004339 Loss_D_real: -0.012702 Loss_D_fake 0.012126
[782/5000][330/535][80540] Loss_D: -0.020848 Loss_G: 0.033622 Loss_D_real: -0.033767 Loss_D_fake -0.012918
[782/5000][335/535][80541] Loss_D: -0.023410 Loss_G: -0.004707 Loss_D_real: -0.006543 Loss_D_fake 0.016867
[782/5000][340/535][80542] Loss_D: -0.023217 Loss_G: -0.004201 Loss_D_real: -0.030631 Loss_D_fake -0.007414
[782/5000][345/535][80543] Loss_D: -0.023364 Loss_G: 0.000062 Loss_D_real: -0.010425 Loss_D_fake 0.012938
[782/5000][350/535][80544] Loss_D: -0.022732 Loss_G: -0.001683 Loss_D_real: -0.007414 Loss_D_fake 0.015317
[782/5000][355/535][80545] Loss_D: -0.022771 Loss_G: -0.002339 Loss_D_real: -0.015245 Loss_D_fake 0.007525
[782/5000][360/535][80546] Loss_D: -0.023493 Loss_G: 0.018094 Loss_D_real: -0.026456 Loss_D_fake -0.002964
[782/5000][365/535][80547] Loss_D: -0.021802 Loss_G: -0.005424 Loss_D_real: -0.010401 Loss_D_fake 0.011401
[782/5000][370/535][80548] Loss_D: -0.022271 Loss_G: 0.021193 Loss_D_real: -0.029440 Loss_D_fake -0.007169
[782/5000][375/535][80549] Loss_D: -0.023825 Loss_G: 0.003181 Loss_D_real: -0.015018 Loss_D_fake 0.008806
[782/5000][380/535][80550] Loss_D: -0.023686 Loss_G: 0.017416 Loss_D_real: -0.017264 Loss_D_fake 0.006422
[782/5000][385/535][80551] Loss_D: -0.024050 Loss_G: 0.001917 Loss_D_real: -0.010338 Loss_D_fake 0.013711
[782/5000][390/535][80552] Loss_D: -0.022817 Loss_G: -0.010034 Loss_D_real: -0.013451 Loss_D_fake 0.009366
[782/5000][395/535][80553] Loss_D: -0.024393 Loss_G: 0.018096 Loss_D_real: -0.026625 Loss_D_fake -0.002232
[782/5000][400/535][80554] Loss_D: -0.023960 Loss_G: -0.001361 Loss_D_real: -0.016372 Loss_D_fake 0.007587
[782/5000][405/535][80555] Loss_D: -0.023352 Loss_G: 0.022234 Loss_D_real: -0.032412 Loss_D_fake -0.009060
[782/5000][410/535][80556] Loss_D: -0.023977 Loss_G: -0.018223 Loss_D_real: -0.010552 Loss_D_fake 0.013425
[782/5000][415/535][80557] Loss_D: -0.024110 Loss_G: 0.000869 Loss_D_real: -0.016866 Loss_D_fake 0.007244
[782/5000][420/535][80558] Loss_D: -0.022023 Loss_G: 0.011327 Loss_D_real: -0.023274 Loss_D_fake -0.001250
[782/5000][425/535][80559] Loss_D: -0.020710 Loss_G: 0.028758 Loss_D_real: -0.042847 Loss_D_fake -0.022137
[782/5000][430/535][80560] Loss_D: -0.024881 Loss_G: 0.001445 Loss_D_real: -0.012976 Loss_D_fake 0.011905
[782/5000][435/535][80561] Loss_D: -0.023643 Loss_G: 0.011679 Loss_D_real: -0.020429 Loss_D_fake 0.003214
[782/5000][440/535][80562] Loss_D: -0.025114 Loss_G: 0.007153 Loss_D_real: -0.021563 Loss_D_fake 0.003551
[782/5000][445/535][80563] Loss_D: -0.023767 Loss_G: -0.000766 Loss_D_real: -0.011735 Loss_D_fake 0.012032
[782/5000][450/535][80564] Loss_D: -0.023919 Loss_G: 0.018134 Loss_D_real: -0.028966 Loss_D_fake -0.005047
[782/5000][455/535][80565] Loss_D: -0.025690 Loss_G: 0.003565 Loss_D_real: -0.016234 Loss_D_fake 0.009456
[782/5000][460/535][80566] Loss_D: -0.023987 Loss_G: 0.016126 Loss_D_real: -0.026319 Loss_D_fake -0.002332
[782/5000][465/535][80567] Loss_D: -0.024969 Loss_G: 0.007848 Loss_D_real: -0.020586 Loss_D_fake 0.004383
[782/5000][470/535][80568] Loss_D: -0.024553 Loss_G: 0.005561 Loss_D_real: -0.023717 Loss_D_fake 0.000835
[782/5000][475/535][80569] Loss_D: -0.023215 Loss_G: 0.037921 Loss_D_real: -0.035845 Loss_D_fake -0.012630
[782/5000][480/535][80570] Loss_D: -0.022984 Loss_G: 0.001790 Loss_D_real: -0.010821 Loss_D_fake 0.012163
[782/5000][485/535][80571] Loss_D: -0.023077 Loss_G: 0.015699 Loss_D_real: -0.021528 Loss_D_fake 0.001548
[782/5000][490/535][80572] Loss_D: -0.024065 Loss_G: -0.001088 Loss_D_real: -0.019542 Loss_D_fake 0.004523
[782/5000][495/535][80573] Loss_D: -0.024446 Loss_G: -0.007582 Loss_D_real: -0.009857 Loss_D_fake 0.014589
[782/5000][500/535][80574] Loss_D: -0.023895 Loss_G: 0.004372 Loss_D_real: -0.017263 Loss_D_fake 0.006632
[782/5000][505/535][80575] Loss_D: -0.023320 Loss_G: 0.012667 Loss_D_real: -0.016131 Loss_D_fake 0.007189
[782/5000][510/535][80576] Loss_D: -0.022572 Loss_G: 0.025180 Loss_D_real: -0.022775 Loss_D_fake -0.000204
[782/5000][515/535][80577] Loss_D: -0.023894 Loss_G: 0.011164 Loss_D_real: -0.018880 Loss_D_fake 0.005014
[782/5000][520/535][80578] Loss_D: -0.023347 Loss_G: 0.007957 Loss_D_real: -0.021838 Loss_D_fake 0.001509
[782/5000][525/535][80579] Loss_D: -0.024374 Loss_G: 0.021031 Loss_D_real: -0.025315 Loss_D_fake -0.000941
[782/5000][530/535][80580] Loss_D: -0.023275 Loss_G: 0.025535 Loss_D_real: -0.018591 Loss_D_fake 0.004685
[782/5000][535/535][80581] Loss_D: -0.023650 Loss_G: 0.018332 Loss_D_real: -0.010296 Loss_D_fake 0.013354
[783/5000][5/535][80582] Loss_D: -0.022702 Loss_G: -0.004958 Loss_D_real: -0.013428 Loss_D_fake 0.009274
[783/5000][10/535][80583] Loss_D: -0.024755 Loss_G: 0.010306 Loss_D_real: -0.019404 Loss_D_fake 0.005351
[783/5000][15/535][80584] Loss_D: -0.024105 Loss_G: 0.001143 Loss_D_real: -0.012339 Loss_D_fake 0.011766
[783/5000][20/535][80585] Loss_D: -0.024168 Loss_G: 0.000881 Loss_D_real: -0.015342 Loss_D_fake 0.008827
[783/5000][25/535][80586] Loss_D: -0.023509 Loss_G: 0.019518 Loss_D_real: -0.022265 Loss_D_fake 0.001244
[783/5000][30/535][80587] Loss_D: -0.023536 Loss_G: 0.005057 Loss_D_real: -0.013776 Loss_D_fake 0.009760
[783/5000][35/535][80588] Loss_D: -0.023140 Loss_G: -0.010379 Loss_D_real: -0.000872 Loss_D_fake 0.022268
[783/5000][40/535][80589] Loss_D: -0.024364 Loss_G: -0.001381 Loss_D_real: -0.016124 Loss_D_fake 0.008240
[783/5000][45/535][80590] Loss_D: -0.023302 Loss_G: 0.026899 Loss_D_real: -0.027192 Loss_D_fake -0.003890
[783/5000][50/535][80591] Loss_D: -0.022931 Loss_G: -0.001765 Loss_D_real: -0.025951 Loss_D_fake -0.003020
[783/5000][55/535][80592] Loss_D: -0.023729 Loss_G: -0.003390 Loss_D_real: -0.009347 Loss_D_fake 0.014382
[783/5000][60/535][80593] Loss_D: -0.022079 Loss_G: 0.024627 Loss_D_real: -0.031650 Loss_D_fake -0.009571
[783/5000][65/535][80594] Loss_D: -0.022665 Loss_G: 0.006204 Loss_D_real: -0.011093 Loss_D_fake 0.011572
[783/5000][70/535][80595] Loss_D: -0.024286 Loss_G: 0.014776 Loss_D_real: -0.021923 Loss_D_fake 0.002363
[783/5000][75/535][80596] Loss_D: -0.024558 Loss_G: 0.012562 Loss_D_real: -0.011996 Loss_D_fake 0.012562
[783/5000][80/535][80597] Loss_D: -0.022779 Loss_G: 0.017625 Loss_D_real: -0.020026 Loss_D_fake 0.002753
[783/5000][85/535][80598] Loss_D: -0.023499 Loss_G: 0.008398 Loss_D_real: -0.028958 Loss_D_fake -0.005459
[783/5000][90/535][80599] Loss_D: -0.023250 Loss_G: 0.018408 Loss_D_real: -0.021965 Loss_D_fake 0.001286
[783/5000][95/535][80600] Loss_D: -0.023292 Loss_G: -0.003557 Loss_D_real: -0.010552 Loss_D_fake 0.012739
[783/5000][100/535][80601] Loss_D: -0.023384 Loss_G: 0.014992 Loss_D_real: -0.021619 Loss_D_fake 0.001765
[783/5000][105/535][80602] Loss_D: -0.023523 Loss_G: -0.004588 Loss_D_real: -0.011577 Loss_D_fake 0.011947
[783/5000][110/535][80603] Loss_D: -0.024367 Loss_G: 0.012361 Loss_D_real: -0.007509 Loss_D_fake 0.016858
[783/5000][115/535][80604] Loss_D: -0.023302 Loss_G: -0.003012 Loss_D_real: -0.003871 Loss_D_fake 0.019431
[783/5000][120/535][80605] Loss_D: -0.023320 Loss_G: 0.028029 Loss_D_real: -0.028956 Loss_D_fake -0.005635
[783/5000][125/535][80606] Loss_D: -0.022507 Loss_G: 0.000850 Loss_D_real: -0.003740 Loss_D_fake 0.018767
[783/5000][130/535][80607] Loss_D: -0.023594 Loss_G: 0.003162 Loss_D_real: -0.012699 Loss_D_fake 0.010895
[783/5000][135/535][80608] Loss_D: -0.023839 Loss_G: -0.007795 Loss_D_real: -0.008497 Loss_D_fake 0.015342
[783/5000][140/535][80609] Loss_D: -0.025432 Loss_G: 0.010417 Loss_D_real: -0.016079 Loss_D_fake 0.009353
[783/5000][145/535][80610] Loss_D: -0.025440 Loss_G: 0.003853 Loss_D_real: -0.017118 Loss_D_fake 0.008323
[783/5000][150/535][80611] Loss_D: -0.024996 Loss_G: -0.010128 Loss_D_real: -0.015044 Loss_D_fake 0.009952
[783/5000][155/535][80612] Loss_D: -0.024373 Loss_G: 0.010776 Loss_D_real: -0.019359 Loss_D_fake 0.005014
[783/5000][160/535][80613] Loss_D: -0.024981 Loss_G: -0.002189 Loss_D_real: -0.013395 Loss_D_fake 0.011586
[783/5000][165/535][80614] Loss_D: -0.024239 Loss_G: -0.000038 Loss_D_real: -0.004165 Loss_D_fake 0.020074
[783/5000][170/535][80615] Loss_D: -0.023399 Loss_G: -0.010416 Loss_D_real: -0.007610 Loss_D_fake 0.015789
[783/5000][175/535][80616] Loss_D: -0.023599 Loss_G: 0.027845 Loss_D_real: -0.026794 Loss_D_fake -0.003196
[783/5000][180/535][80617] Loss_D: -0.022128 Loss_G: 0.000754 Loss_D_real: -0.004764 Loss_D_fake 0.017364
[783/5000][185/535][80618] Loss_D: -0.021845 Loss_G: 0.025795 Loss_D_real: -0.032315 Loss_D_fake -0.010469
[783/5000][190/535][80619] Loss_D: -0.022853 Loss_G: -0.003827 Loss_D_real: -0.017158 Loss_D_fake 0.005695
[783/5000][195/535][80620] Loss_D: -0.023377 Loss_G: -0.001053 Loss_D_real: -0.004264 Loss_D_fake 0.019113
[783/5000][200/535][80621] Loss_D: -0.022375 Loss_G: 0.014416 Loss_D_real: -0.025995 Loss_D_fake -0.003620
[783/5000][205/535][80622] Loss_D: -0.024872 Loss_G: 0.016764 Loss_D_real: -0.021352 Loss_D_fake 0.003520
[783/5000][210/535][80623] Loss_D: -0.022351 Loss_G: -0.005175 Loss_D_real: -0.010552 Loss_D_fake 0.011799
[783/5000][215/535][80624] Loss_D: -0.024249 Loss_G: 0.000878 Loss_D_real: -0.018030 Loss_D_fake 0.006220
[783/5000][220/535][80625] Loss_D: -0.023311 Loss_G: 0.013127 Loss_D_real: -0.029862 Loss_D_fake -0.006550
[783/5000][225/535][80626] Loss_D: -0.022947 Loss_G: 0.002404 Loss_D_real: -0.007663 Loss_D_fake 0.015284
[783/5000][230/535][80627] Loss_D: -0.024227 Loss_G: 0.015453 Loss_D_real: -0.020476 Loss_D_fake 0.003751
[783/5000][235/535][80628] Loss_D: -0.024447 Loss_G: 0.014643 Loss_D_real: -0.031975 Loss_D_fake -0.007528
[783/5000][240/535][80629] Loss_D: -0.023414 Loss_G: 0.019985 Loss_D_real: -0.031330 Loss_D_fake -0.007917
[783/5000][245/535][80630] Loss_D: -0.025133 Loss_G: 0.017145 Loss_D_real: -0.015022 Loss_D_fake 0.010111
[783/5000][250/535][80631] Loss_D: -0.024015 Loss_G: -0.020721 Loss_D_real: -0.013724 Loss_D_fake 0.010291
[783/5000][255/535][80632] Loss_D: -0.022407 Loss_G: -0.000464 Loss_D_real: -0.008258 Loss_D_fake 0.014148
[783/5000][260/535][80633] Loss_D: -0.024473 Loss_G: 0.006683 Loss_D_real: -0.014323 Loss_D_fake 0.010150
[783/5000][265/535][80634] Loss_D: -0.021681 Loss_G: 0.017197 Loss_D_real: -0.020968 Loss_D_fake 0.000713
[783/5000][270/535][80635] Loss_D: -0.023626 Loss_G: -0.015415 Loss_D_real: 0.000361 Loss_D_fake 0.023987
[783/5000][275/535][80636] Loss_D: -0.022616 Loss_G: 0.022678 Loss_D_real: -0.021984 Loss_D_fake 0.000632
[783/5000][280/535][80637] Loss_D: -0.024122 Loss_G: -0.003957 Loss_D_real: -0.011189 Loss_D_fake 0.012933
[783/5000][285/535][80638] Loss_D: -0.022001 Loss_G: 0.003412 Loss_D_real: -0.020546 Loss_D_fake 0.001456
[783/5000][290/535][80639] Loss_D: -0.021990 Loss_G: 0.017602 Loss_D_real: -0.028169 Loss_D_fake -0.006180
[783/5000][295/535][80640] Loss_D: -0.023876 Loss_G: 0.015803 Loss_D_real: -0.014412 Loss_D_fake 0.009464
[783/5000][300/535][80641] Loss_D: -0.024134 Loss_G: 0.003217 Loss_D_real: -0.019084 Loss_D_fake 0.005050
[783/5000][305/535][80642] Loss_D: -0.024417 Loss_G: 0.009915 Loss_D_real: -0.016787 Loss_D_fake 0.007631
[783/5000][310/535][80643] Loss_D: -0.024340 Loss_G: 0.012480 Loss_D_real: -0.014407 Loss_D_fake 0.009933
[783/5000][315/535][80644] Loss_D: -0.022413 Loss_G: -0.013688 Loss_D_real: -0.002122 Loss_D_fake 0.020291
[783/5000][320/535][80645] Loss_D: -0.024675 Loss_G: 0.007639 Loss_D_real: -0.018871 Loss_D_fake 0.005804
[783/5000][325/535][80646] Loss_D: -0.023335 Loss_G: 0.009450 Loss_D_real: -0.007348 Loss_D_fake 0.015987
[783/5000][330/535][80647] Loss_D: -0.023290 Loss_G: 0.009156 Loss_D_real: -0.012262 Loss_D_fake 0.011028
[783/5000][335/535][80648] Loss_D: -0.023447 Loss_G: 0.009443 Loss_D_real: -0.019248 Loss_D_fake 0.004199
[783/5000][340/535][80649] Loss_D: -0.023582 Loss_G: 0.013957 Loss_D_real: -0.023296 Loss_D_fake 0.000286
[783/5000][345/535][80650] Loss_D: -0.023690 Loss_G: 0.013700 Loss_D_real: -0.014768 Loss_D_fake 0.008922
[783/5000][350/535][80651] Loss_D: -0.024025 Loss_G: 0.016080 Loss_D_real: -0.013117 Loss_D_fake 0.010908
[783/5000][355/535][80652] Loss_D: -0.023623 Loss_G: -0.005066 Loss_D_real: -0.009766 Loss_D_fake 0.013857
[783/5000][360/535][80653] Loss_D: -0.024960 Loss_G: -0.007676 Loss_D_real: -0.022305 Loss_D_fake 0.002655
[783/5000][365/535][80654] Loss_D: -0.022960 Loss_G: 0.022685 Loss_D_real: -0.030622 Loss_D_fake -0.007662
[783/5000][370/535][80655] Loss_D: -0.024131 Loss_G: -0.009580 Loss_D_real: 0.004364 Loss_D_fake 0.028494
[783/5000][375/535][80656] Loss_D: -0.025158 Loss_G: 0.020261 Loss_D_real: -0.020667 Loss_D_fake 0.004491
[783/5000][380/535][80657] Loss_D: -0.023263 Loss_G: 0.031524 Loss_D_real: -0.035140 Loss_D_fake -0.011877
[783/5000][385/535][80658] Loss_D: -0.024593 Loss_G: -0.016288 Loss_D_real: -0.005560 Loss_D_fake 0.019034
[783/5000][390/535][80659] Loss_D: -0.022693 Loss_G: 0.021457 Loss_D_real: -0.022051 Loss_D_fake 0.000642
[783/5000][395/535][80660] Loss_D: -0.025797 Loss_G: 0.012462 Loss_D_real: -0.010293 Loss_D_fake 0.015505
[783/5000][400/535][80661] Loss_D: -0.023869 Loss_G: 0.019840 Loss_D_real: -0.026065 Loss_D_fake -0.002196
[783/5000][405/535][80662] Loss_D: -0.024396 Loss_G: 0.019593 Loss_D_real: -0.022650 Loss_D_fake 0.001747
[783/5000][410/535][80663] Loss_D: -0.024214 Loss_G: -0.002292 Loss_D_real: -0.015314 Loss_D_fake 0.008900
[783/5000][415/535][80664] Loss_D: -0.021280 Loss_G: 0.023095 Loss_D_real: -0.024787 Loss_D_fake -0.003508
[783/5000][420/535][80665] Loss_D: -0.023125 Loss_G: 0.015110 Loss_D_real: -0.029396 Loss_D_fake -0.006271
[783/5000][425/535][80666] Loss_D: -0.023122 Loss_G: 0.017185 Loss_D_real: -0.033508 Loss_D_fake -0.010386
[783/5000][430/535][80667] Loss_D: -0.024082 Loss_G: -0.005866 Loss_D_real: -0.023106 Loss_D_fake 0.000976
[783/5000][435/535][80668] Loss_D: -0.022480 Loss_G: 0.004097 Loss_D_real: -0.015941 Loss_D_fake 0.006539
[783/5000][440/535][80669] Loss_D: -0.024481 Loss_G: 0.010118 Loss_D_real: -0.005256 Loss_D_fake 0.019225
[783/5000][445/535][80670] Loss_D: -0.024023 Loss_G: 0.004043 Loss_D_real: -0.017392 Loss_D_fake 0.006632
[783/5000][450/535][80671] Loss_D: -0.023334 Loss_G: 0.025056 Loss_D_real: -0.036726 Loss_D_fake -0.013392
[783/5000][455/535][80672] Loss_D: -0.023181 Loss_G: -0.001062 Loss_D_real: -0.006177 Loss_D_fake 0.017005
[783/5000][460/535][80673] Loss_D: -0.023159 Loss_G: -0.002856 Loss_D_real: -0.024496 Loss_D_fake -0.001337
[783/5000][465/535][80674] Loss_D: -0.024297 Loss_G: 0.018589 Loss_D_real: -0.015648 Loss_D_fake 0.008649
[783/5000][470/535][80675] Loss_D: -0.023716 Loss_G: 0.011024 Loss_D_real: -0.015721 Loss_D_fake 0.007995
[783/5000][475/535][80676] Loss_D: -0.025314 Loss_G: 0.008404 Loss_D_real: -0.014559 Loss_D_fake 0.010755
[783/5000][480/535][80677] Loss_D: -0.024658 Loss_G: 0.003137 Loss_D_real: -0.014613 Loss_D_fake 0.010045
[783/5000][485/535][80678] Loss_D: -0.025341 Loss_G: 0.023896 Loss_D_real: -0.039922 Loss_D_fake -0.014581
[783/5000][490/535][80679] Loss_D: -0.026132 Loss_G: 0.016598 Loss_D_real: -0.025839 Loss_D_fake 0.000292
[783/5000][495/535][80680] Loss_D: -0.023500 Loss_G: 0.013557 Loss_D_real: -0.019160 Loss_D_fake 0.004340
[783/5000][500/535][80681] Loss_D: -0.024220 Loss_G: 0.020351 Loss_D_real: -0.028992 Loss_D_fake -0.004772
[783/5000][505/535][80682] Loss_D: -0.024748 Loss_G: 0.020597 Loss_D_real: -0.017339 Loss_D_fake 0.007408
[783/5000][510/535][80683] Loss_D: -0.023427 Loss_G: -0.003935 Loss_D_real: -0.004031 Loss_D_fake 0.019396
[783/5000][515/535][80684] Loss_D: -0.024222 Loss_G: 0.004298 Loss_D_real: -0.022812 Loss_D_fake 0.001410
[783/5000][520/535][80685] Loss_D: -0.024334 Loss_G: 0.012860 Loss_D_real: -0.026295 Loss_D_fake -0.001961
[783/5000][525/535][80686] Loss_D: -0.025065 Loss_G: 0.013343 Loss_D_real: -0.016505 Loss_D_fake 0.008560
[783/5000][530/535][80687] Loss_D: -0.023792 Loss_G: -0.006075 Loss_D_real: -0.007272 Loss_D_fake 0.016521
[783/5000][535/535][80688] Loss_D: -0.021285 Loss_G: 0.017702 Loss_D_real: -0.033955 Loss_D_fake -0.012670
[784/5000][5/535][80689] Loss_D: -0.023922 Loss_G: 0.003597 Loss_D_real: -0.009180 Loss_D_fake 0.014742
[784/5000][10/535][80690] Loss_D: -0.024194 Loss_G: 0.009634 Loss_D_real: -0.026871 Loss_D_fake -0.002677
[784/5000][15/535][80691] Loss_D: -0.024108 Loss_G: 0.001050 Loss_D_real: -0.012068 Loss_D_fake 0.012040
[784/5000][20/535][80692] Loss_D: -0.023738 Loss_G: -0.002940 Loss_D_real: -0.008897 Loss_D_fake 0.014841
[784/5000][25/535][80693] Loss_D: -0.024539 Loss_G: 0.009916 Loss_D_real: -0.019569 Loss_D_fake 0.004970
[784/5000][30/535][80694] Loss_D: -0.023601 Loss_G: -0.003235 Loss_D_real: -0.003299 Loss_D_fake 0.020302
[784/5000][35/535][80695] Loss_D: -0.024019 Loss_G: 0.025992 Loss_D_real: -0.018046 Loss_D_fake 0.005973
[784/5000][40/535][80696] Loss_D: -0.023284 Loss_G: 0.006644 Loss_D_real: -0.018580 Loss_D_fake 0.004704
[784/5000][45/535][80697] Loss_D: -0.023559 Loss_G: 0.000496 Loss_D_real: -0.027426 Loss_D_fake -0.003866
[784/5000][50/535][80698] Loss_D: -0.022603 Loss_G: 0.030390 Loss_D_real: -0.028283 Loss_D_fake -0.005680
[784/5000][55/535][80699] Loss_D: -0.023612 Loss_G: -0.002853 Loss_D_real: -0.011657 Loss_D_fake 0.011956
[784/5000][60/535][80700] Loss_D: -0.023482 Loss_G: 0.010009 Loss_D_real: -0.023361 Loss_D_fake 0.000120
[784/5000][65/535][80701] Loss_D: -0.024369 Loss_G: 0.025889 Loss_D_real: -0.020058 Loss_D_fake 0.004310
[784/5000][70/535][80702] Loss_D: -0.023112 Loss_G: 0.022651 Loss_D_real: -0.026143 Loss_D_fake -0.003031
[784/5000][75/535][80703] Loss_D: -0.023388 Loss_G: 0.018225 Loss_D_real: -0.032537 Loss_D_fake -0.009150
[784/5000][80/535][80704] Loss_D: -0.023033 Loss_G: 0.006763 Loss_D_real: -0.017409 Loss_D_fake 0.005624
[784/5000][85/535][80705] Loss_D: -0.023669 Loss_G: 0.011757 Loss_D_real: -0.024642 Loss_D_fake -0.000973
[784/5000][90/535][80706] Loss_D: -0.023383 Loss_G: 0.019993 Loss_D_real: -0.021489 Loss_D_fake 0.001894
[784/5000][95/535][80707] Loss_D: -0.024282 Loss_G: 0.007968 Loss_D_real: -0.019987 Loss_D_fake 0.004295
[784/5000][100/535][80708] Loss_D: -0.023646 Loss_G: 0.003231 Loss_D_real: -0.013616 Loss_D_fake 0.010030
[784/5000][105/535][80709] Loss_D: -0.023390 Loss_G: 0.010330 Loss_D_real: -0.017009 Loss_D_fake 0.006381
[784/5000][110/535][80710] Loss_D: -0.023209 Loss_G: 0.014228 Loss_D_real: -0.020477 Loss_D_fake 0.002732
[784/5000][115/535][80711] Loss_D: -0.025242 Loss_G: 0.007364 Loss_D_real: -0.015509 Loss_D_fake 0.009733
[784/5000][120/535][80712] Loss_D: -0.022958 Loss_G: 0.019696 Loss_D_real: -0.024680 Loss_D_fake -0.001722
[784/5000][125/535][80713] Loss_D: -0.022487 Loss_G: 0.009308 Loss_D_real: -0.024072 Loss_D_fake -0.001585
[784/5000][130/535][80714] Loss_D: -0.023700 Loss_G: 0.015232 Loss_D_real: -0.018362 Loss_D_fake 0.005338
[784/5000][135/535][80715] Loss_D: -0.022884 Loss_G: 0.025586 Loss_D_real: -0.033425 Loss_D_fake -0.010541
[784/5000][140/535][80716] Loss_D: -0.024388 Loss_G: 0.001599 Loss_D_real: -0.007922 Loss_D_fake 0.016466
[784/5000][145/535][80717] Loss_D: -0.024057 Loss_G: 0.013253 Loss_D_real: -0.019195 Loss_D_fake 0.004861
[784/5000][150/535][80718] Loss_D: -0.023313 Loss_G: 0.018663 Loss_D_real: -0.025652 Loss_D_fake -0.002339
[784/5000][155/535][80719] Loss_D: -0.025253 Loss_G: 0.005570 Loss_D_real: -0.020787 Loss_D_fake 0.004466
[784/5000][160/535][80720] Loss_D: -0.024570 Loss_G: -0.002997 Loss_D_real: -0.017380 Loss_D_fake 0.007190
[784/5000][165/535][80721] Loss_D: -0.024020 Loss_G: 0.006229 Loss_D_real: -0.018280 Loss_D_fake 0.005740
[784/5000][170/535][80722] Loss_D: -0.023912 Loss_G: 0.017117 Loss_D_real: -0.023630 Loss_D_fake 0.000282
[784/5000][175/535][80723] Loss_D: -0.022468 Loss_G: -0.009003 Loss_D_real: -0.000225 Loss_D_fake 0.022243
[784/5000][180/535][80724] Loss_D: -0.023763 Loss_G: 0.010890 Loss_D_real: -0.019572 Loss_D_fake 0.004191
[784/5000][185/535][80725] Loss_D: -0.022153 Loss_G: -0.012598 Loss_D_real: -0.001752 Loss_D_fake 0.020401
[784/5000][190/535][80726] Loss_D: -0.025286 Loss_G: 0.020090 Loss_D_real: -0.021958 Loss_D_fake 0.003329
[784/5000][195/535][80727] Loss_D: -0.023602 Loss_G: 0.012501 Loss_D_real: -0.014112 Loss_D_fake 0.009491
[784/5000][200/535][80728] Loss_D: -0.023288 Loss_G: 0.008935 Loss_D_real: -0.024999 Loss_D_fake -0.001711
[784/5000][205/535][80729] Loss_D: -0.025659 Loss_G: 0.003920 Loss_D_real: -0.024553 Loss_D_fake 0.001106
[784/5000][210/535][80730] Loss_D: -0.022549 Loss_G: 0.001791 Loss_D_real: -0.012604 Loss_D_fake 0.009946
[784/5000][215/535][80731] Loss_D: -0.023757 Loss_G: 0.022299 Loss_D_real: -0.034075 Loss_D_fake -0.010318
[784/5000][220/535][80732] Loss_D: -0.023516 Loss_G: 0.008094 Loss_D_real: -0.018505 Loss_D_fake 0.005011
[784/5000][225/535][80733] Loss_D: -0.024493 Loss_G: -0.003516 Loss_D_real: -0.012225 Loss_D_fake 0.012269
[784/5000][230/535][80734] Loss_D: -0.024894 Loss_G: 0.011361 Loss_D_real: -0.017150 Loss_D_fake 0.007744
[784/5000][235/535][80735] Loss_D: -0.023259 Loss_G: 0.030989 Loss_D_real: -0.028915 Loss_D_fake -0.005656
[784/5000][240/535][80736] Loss_D: -0.023781 Loss_G: 0.001560 Loss_D_real: -0.012009 Loss_D_fake 0.011772
[784/5000][245/535][80737] Loss_D: -0.025362 Loss_G: 0.002438 Loss_D_real: -0.013585 Loss_D_fake 0.011776
[784/5000][250/535][80738] Loss_D: -0.024230 Loss_G: 0.013773 Loss_D_real: -0.029920 Loss_D_fake -0.005689
[784/5000][255/535][80739] Loss_D: -0.024057 Loss_G: 0.019573 Loss_D_real: -0.020061 Loss_D_fake 0.003996
[784/5000][260/535][80740] Loss_D: -0.024274 Loss_G: 0.021666 Loss_D_real: -0.039942 Loss_D_fake -0.015669
[784/5000][265/535][80741] Loss_D: -0.026468 Loss_G: -0.006782 Loss_D_real: -0.008752 Loss_D_fake 0.017716
[784/5000][270/535][80742] Loss_D: -0.024333 Loss_G: 0.011106 Loss_D_real: -0.022028 Loss_D_fake 0.002305
[784/5000][275/535][80743] Loss_D: -0.024308 Loss_G: 0.015568 Loss_D_real: -0.019007 Loss_D_fake 0.005301
[784/5000][280/535][80744] Loss_D: -0.024972 Loss_G: 0.020097 Loss_D_real: -0.031369 Loss_D_fake -0.006398
[784/5000][285/535][80745] Loss_D: -0.024545 Loss_G: -0.007806 Loss_D_real: -0.009297 Loss_D_fake 0.015248
[784/5000][290/535][80746] Loss_D: -0.022333 Loss_G: 0.003451 Loss_D_real: -0.019811 Loss_D_fake 0.002522
[784/5000][295/535][80747] Loss_D: -0.023889 Loss_G: 0.012740 Loss_D_real: -0.026432 Loss_D_fake -0.002542
[784/5000][300/535][80748] Loss_D: -0.024226 Loss_G: 0.022779 Loss_D_real: -0.027951 Loss_D_fake -0.003726
[784/5000][305/535][80749] Loss_D: -0.023278 Loss_G: 0.004598 Loss_D_real: -0.020253 Loss_D_fake 0.003025
[784/5000][310/535][80750] Loss_D: -0.023762 Loss_G: -0.004630 Loss_D_real: -0.013058 Loss_D_fake 0.010704
[784/5000][315/535][80751] Loss_D: -0.023220 Loss_G: 0.015279 Loss_D_real: -0.012198 Loss_D_fake 0.011023
[784/5000][320/535][80752] Loss_D: -0.023433 Loss_G: 0.014971 Loss_D_real: -0.025239 Loss_D_fake -0.001806
[784/5000][325/535][80753] Loss_D: -0.023592 Loss_G: 0.005459 Loss_D_real: -0.011384 Loss_D_fake 0.012208
[784/5000][330/535][80754] Loss_D: -0.023621 Loss_G: -0.003254 Loss_D_real: 0.000205 Loss_D_fake 0.023826
[784/5000][335/535][80755] Loss_D: -0.024350 Loss_G: 0.004862 Loss_D_real: -0.014372 Loss_D_fake 0.009978
[784/5000][340/535][80756] Loss_D: -0.023598 Loss_G: 0.005174 Loss_D_real: -0.008056 Loss_D_fake 0.015543
[784/5000][345/535][80757] Loss_D: -0.023555 Loss_G: 0.000482 Loss_D_real: -0.011937 Loss_D_fake 0.011618
[784/5000][350/535][80758] Loss_D: -0.024644 Loss_G: 0.001886 Loss_D_real: -0.001161 Loss_D_fake 0.023483
[784/5000][355/535][80759] Loss_D: -0.024628 Loss_G: -0.010550 Loss_D_real: -0.006416 Loss_D_fake 0.018212
[784/5000][360/535][80760] Loss_D: -0.022391 Loss_G: -0.002415 Loss_D_real: -0.006816 Loss_D_fake 0.015575
[784/5000][365/535][80761] Loss_D: -0.024271 Loss_G: 0.003514 Loss_D_real: -0.013061 Loss_D_fake 0.011210
[784/5000][370/535][80762] Loss_D: -0.023905 Loss_G: 0.010047 Loss_D_real: -0.020397 Loss_D_fake 0.003508
[784/5000][375/535][80763] Loss_D: -0.023913 Loss_G: 0.009215 Loss_D_real: -0.024400 Loss_D_fake -0.000487
[784/5000][380/535][80764] Loss_D: -0.023941 Loss_G: 0.010470 Loss_D_real: -0.020962 Loss_D_fake 0.002979
[784/5000][385/535][80765] Loss_D: -0.022304 Loss_G: 0.021401 Loss_D_real: -0.033443 Loss_D_fake -0.011139
[784/5000][390/535][80766] Loss_D: -0.022683 Loss_G: -0.008263 Loss_D_real: -0.012598 Loss_D_fake 0.010085
[784/5000][395/535][80767] Loss_D: -0.023330 Loss_G: 0.016286 Loss_D_real: -0.026000 Loss_D_fake -0.002670
[784/5000][400/535][80768] Loss_D: -0.023539 Loss_G: -0.014585 Loss_D_real: -0.007636 Loss_D_fake 0.015903
[784/5000][405/535][80769] Loss_D: -0.024047 Loss_G: 0.017596 Loss_D_real: -0.028203 Loss_D_fake -0.004156
[784/5000][410/535][80770] Loss_D: -0.025365 Loss_G: 0.010123 Loss_D_real: -0.024358 Loss_D_fake 0.001007
[784/5000][415/535][80771] Loss_D: -0.023358 Loss_G: 0.035227 Loss_D_real: -0.035767 Loss_D_fake -0.012409
[784/5000][420/535][80772] Loss_D: -0.023781 Loss_G: 0.021832 Loss_D_real: -0.031542 Loss_D_fake -0.007761
[784/5000][425/535][80773] Loss_D: -0.023877 Loss_G: -0.001683 Loss_D_real: -0.017260 Loss_D_fake 0.006617
[784/5000][430/535][80774] Loss_D: -0.024763 Loss_G: 0.008208 Loss_D_real: -0.012270 Loss_D_fake 0.012493
[784/5000][435/535][80775] Loss_D: -0.024211 Loss_G: 0.023123 Loss_D_real: -0.026388 Loss_D_fake -0.002177
[784/5000][440/535][80776] Loss_D: -0.025095 Loss_G: -0.004728 Loss_D_real: -0.008307 Loss_D_fake 0.016788
[784/5000][445/535][80777] Loss_D: -0.023888 Loss_G: 0.020821 Loss_D_real: -0.024540 Loss_D_fake -0.000652
[784/5000][450/535][80778] Loss_D: -0.023875 Loss_G: 0.007208 Loss_D_real: -0.016076 Loss_D_fake 0.007799
[784/5000][455/535][80779] Loss_D: -0.024344 Loss_G: 0.010583 Loss_D_real: -0.014446 Loss_D_fake 0.009899
[784/5000][460/535][80780] Loss_D: -0.023499 Loss_G: -0.001297 Loss_D_real: -0.019668 Loss_D_fake 0.003831
[784/5000][465/535][80781] Loss_D: -0.022918 Loss_G: -0.022983 Loss_D_real: 0.000364 Loss_D_fake 0.023282
[784/5000][470/535][80782] Loss_D: -0.022680 Loss_G: 0.017296 Loss_D_real: -0.021107 Loss_D_fake 0.001573
[784/5000][475/535][80783] Loss_D: -0.021628 Loss_G: 0.015362 Loss_D_real: -0.016493 Loss_D_fake 0.005135
[784/5000][480/535][80784] Loss_D: -0.022368 Loss_G: -0.002041 Loss_D_real: -0.010135 Loss_D_fake 0.012233
[784/5000][485/535][80785] Loss_D: -0.022962 Loss_G: -0.009539 Loss_D_real: -0.011525 Loss_D_fake 0.011437
[784/5000][490/535][80786] Loss_D: -0.024181 Loss_G: -0.002061 Loss_D_real: -0.015068 Loss_D_fake 0.009113
[784/5000][495/535][80787] Loss_D: -0.023026 Loss_G: 0.035603 Loss_D_real: -0.038396 Loss_D_fake -0.015370
[784/5000][500/535][80788] Loss_D: -0.023424 Loss_G: 0.007853 Loss_D_real: -0.020574 Loss_D_fake 0.002849
[784/5000][505/535][80789] Loss_D: -0.023042 Loss_G: -0.001324 Loss_D_real: -0.018818 Loss_D_fake 0.004224
[784/5000][510/535][80790] Loss_D: -0.024494 Loss_G: 0.014452 Loss_D_real: -0.017651 Loss_D_fake 0.006843
[784/5000][515/535][80791] Loss_D: -0.025520 Loss_G: 0.017098 Loss_D_real: -0.028025 Loss_D_fake -0.002505
[784/5000][520/535][80792] Loss_D: -0.024706 Loss_G: -0.011683 Loss_D_real: -0.013607 Loss_D_fake 0.011099
[784/5000][525/535][80793] Loss_D: -0.023345 Loss_G: 0.019992 Loss_D_real: -0.027075 Loss_D_fake -0.003731
[784/5000][530/535][80794] Loss_D: -0.023359 Loss_G: 0.013422 Loss_D_real: -0.026362 Loss_D_fake -0.003003
[784/5000][535/535][80795] Loss_D: -0.023960 Loss_G: 0.000004 Loss_D_real: -0.024819 Loss_D_fake -0.000859
[785/5000][5/535][80796] Loss_D: -0.023552 Loss_G: 0.011231 Loss_D_real: -0.025625 Loss_D_fake -0.002073
[785/5000][10/535][80797] Loss_D: -0.022176 Loss_G: 0.000092 Loss_D_real: -0.009397 Loss_D_fake 0.012779
[785/5000][15/535][80798] Loss_D: -0.022819 Loss_G: 0.006012 Loss_D_real: -0.016724 Loss_D_fake 0.006094
[785/5000][20/535][80799] Loss_D: -0.022785 Loss_G: 0.006566 Loss_D_real: -0.024327 Loss_D_fake -0.001542
[785/5000][25/535][80800] Loss_D: -0.023308 Loss_G: 0.012085 Loss_D_real: -0.027236 Loss_D_fake -0.003928
[785/5000][30/535][80801] Loss_D: -0.024605 Loss_G: 0.012019 Loss_D_real: -0.014921 Loss_D_fake 0.009684
[785/5000][35/535][80802] Loss_D: -0.023865 Loss_G: 0.005560 Loss_D_real: -0.007145 Loss_D_fake 0.016720
[785/5000][40/535][80803] Loss_D: -0.021773 Loss_G: -0.012589 Loss_D_real: -0.002671 Loss_D_fake 0.019102
[785/5000][45/535][80804] Loss_D: -0.023443 Loss_G: 0.005172 Loss_D_real: -0.015893 Loss_D_fake 0.007550
[785/5000][50/535][80805] Loss_D: -0.022034 Loss_G: 0.018469 Loss_D_real: -0.019817 Loss_D_fake 0.002217
[785/5000][55/535][80806] Loss_D: -0.023974 Loss_G: 0.007341 Loss_D_real: -0.021578 Loss_D_fake 0.002396
[785/5000][60/535][80807] Loss_D: -0.023844 Loss_G: 0.002335 Loss_D_real: -0.013833 Loss_D_fake 0.010011
[785/5000][65/535][80808] Loss_D: -0.023173 Loss_G: 0.001732 Loss_D_real: -0.018151 Loss_D_fake 0.005022
[785/5000][70/535][80809] Loss_D: -0.024823 Loss_G: 0.019500 Loss_D_real: -0.022429 Loss_D_fake 0.002394
[785/5000][75/535][80810] Loss_D: -0.023103 Loss_G: 0.010971 Loss_D_real: -0.026691 Loss_D_fake -0.003589
[785/5000][80/535][80811] Loss_D: -0.025199 Loss_G: 0.015928 Loss_D_real: -0.018471 Loss_D_fake 0.006728
[785/5000][85/535][80812] Loss_D: -0.024200 Loss_G: 0.004066 Loss_D_real: -0.017933 Loss_D_fake 0.006267
[785/5000][90/535][80813] Loss_D: -0.025474 Loss_G: 0.003436 Loss_D_real: -0.008149 Loss_D_fake 0.017324
[785/5000][95/535][80814] Loss_D: -0.024190 Loss_G: 0.017680 Loss_D_real: -0.020437 Loss_D_fake 0.003753
[785/5000][100/535][80815] Loss_D: -0.024443 Loss_G: -0.007863 Loss_D_real: -0.005169 Loss_D_fake 0.019274
[785/5000][105/535][80816] Loss_D: -0.023602 Loss_G: 0.004625 Loss_D_real: -0.012825 Loss_D_fake 0.010777
[785/5000][110/535][80817] Loss_D: -0.023838 Loss_G: -0.004447 Loss_D_real: -0.018040 Loss_D_fake 0.005798
[785/5000][115/535][80818] Loss_D: -0.023676 Loss_G: 0.019895 Loss_D_real: -0.028967 Loss_D_fake -0.005291
[785/5000][120/535][80819] Loss_D: -0.024659 Loss_G: -0.001572 Loss_D_real: -0.011495 Loss_D_fake 0.013164
[785/5000][125/535][80820] Loss_D: -0.023007 Loss_G: 0.012987 Loss_D_real: -0.016319 Loss_D_fake 0.006688
[785/5000][130/535][80821] Loss_D: -0.023008 Loss_G: 0.018327 Loss_D_real: -0.011595 Loss_D_fake 0.011413
[785/5000][135/535][80822] Loss_D: -0.023236 Loss_G: 0.000376 Loss_D_real: -0.012387 Loss_D_fake 0.010849
[785/5000][140/535][80823] Loss_D: -0.022284 Loss_G: -0.010735 Loss_D_real: -0.006266 Loss_D_fake 0.016018
[785/5000][145/535][80824] Loss_D: -0.023583 Loss_G: 0.011377 Loss_D_real: -0.016680 Loss_D_fake 0.006903
[785/5000][150/535][80825] Loss_D: -0.023291 Loss_G: 0.004553 Loss_D_real: -0.019526 Loss_D_fake 0.003765
[785/5000][155/535][80826] Loss_D: -0.023799 Loss_G: 0.007620 Loss_D_real: -0.014684 Loss_D_fake 0.009116
[785/5000][160/535][80827] Loss_D: -0.022994 Loss_G: 0.028934 Loss_D_real: -0.039556 Loss_D_fake -0.016562
[785/5000][165/535][80828] Loss_D: -0.022739 Loss_G: 0.016961 Loss_D_real: -0.007704 Loss_D_fake 0.015035
[785/5000][170/535][80829] Loss_D: -0.022863 Loss_G: 0.020276 Loss_D_real: -0.022351 Loss_D_fake 0.000512
[785/5000][175/535][80830] Loss_D: -0.024093 Loss_G: 0.019398 Loss_D_real: -0.018252 Loss_D_fake 0.005841
[785/5000][180/535][80831] Loss_D: -0.023242 Loss_G: -0.014056 Loss_D_real: -0.007573 Loss_D_fake 0.015669
[785/5000][185/535][80832] Loss_D: -0.022963 Loss_G: 0.001929 Loss_D_real: -0.017776 Loss_D_fake 0.005187
[785/5000][190/535][80833] Loss_D: -0.023653 Loss_G: 0.024757 Loss_D_real: -0.032286 Loss_D_fake -0.008633
[785/5000][195/535][80834] Loss_D: -0.023891 Loss_G: 0.007378 Loss_D_real: -0.024101 Loss_D_fake -0.000211
[785/5000][200/535][80835] Loss_D: -0.022712 Loss_G: -0.001207 Loss_D_real: -0.017940 Loss_D_fake 0.004773
[785/5000][205/535][80836] Loss_D: -0.023783 Loss_G: 0.000153 Loss_D_real: -0.019745 Loss_D_fake 0.004037
[785/5000][210/535][80837] Loss_D: -0.023055 Loss_G: 0.004967 Loss_D_real: -0.016949 Loss_D_fake 0.006106
[785/5000][215/535][80838] Loss_D: -0.023239 Loss_G: -0.003817 Loss_D_real: -0.007883 Loss_D_fake 0.015356
[785/5000][220/535][80839] Loss_D: -0.024283 Loss_G: 0.001162 Loss_D_real: -0.016975 Loss_D_fake 0.007308
[785/5000][225/535][80840] Loss_D: -0.024775 Loss_G: 0.009702 Loss_D_real: -0.021547 Loss_D_fake 0.003229
[785/5000][230/535][80841] Loss_D: -0.023019 Loss_G: 0.001991 Loss_D_real: -0.010162 Loss_D_fake 0.012856
[785/5000][235/535][80842] Loss_D: -0.023891 Loss_G: 0.021818 Loss_D_real: -0.033248 Loss_D_fake -0.009357
[785/5000][240/535][80843] Loss_D: -0.022005 Loss_G: 0.020994 Loss_D_real: -0.032355 Loss_D_fake -0.010350
[785/5000][245/535][80844] Loss_D: -0.023779 Loss_G: 0.009811 Loss_D_real: -0.012986 Loss_D_fake 0.010793
[785/5000][250/535][80845] Loss_D: -0.023496 Loss_G: 0.021142 Loss_D_real: -0.024993 Loss_D_fake -0.001497
[785/5000][255/535][80846] Loss_D: -0.022785 Loss_G: -0.014368 Loss_D_real: -0.009743 Loss_D_fake 0.013041
[785/5000][260/535][80847] Loss_D: -0.024372 Loss_G: 0.018362 Loss_D_real: -0.021080 Loss_D_fake 0.003293
[785/5000][265/535][80848] Loss_D: -0.024623 Loss_G: 0.015633 Loss_D_real: -0.024569 Loss_D_fake 0.000053
[785/5000][270/535][80849] Loss_D: -0.024999 Loss_G: 0.005691 Loss_D_real: -0.014102 Loss_D_fake 0.010897
[785/5000][275/535][80850] Loss_D: -0.023527 Loss_G: 0.020040 Loss_D_real: -0.033831 Loss_D_fake -0.010305
[785/5000][280/535][80851] Loss_D: -0.025520 Loss_G: -0.004716 Loss_D_real: -0.016776 Loss_D_fake 0.008744
[785/5000][285/535][80852] Loss_D: -0.024005 Loss_G: 0.023237 Loss_D_real: -0.025177 Loss_D_fake -0.001172
[785/5000][290/535][80853] Loss_D: -0.024214 Loss_G: -0.006949 Loss_D_real: -0.001235 Loss_D_fake 0.022979
[785/5000][295/535][80854] Loss_D: -0.024650 Loss_G: 0.024045 Loss_D_real: -0.017344 Loss_D_fake 0.007306
[785/5000][300/535][80855] Loss_D: -0.025218 Loss_G: 0.012059 Loss_D_real: -0.016293 Loss_D_fake 0.008925
[785/5000][305/535][80856] Loss_D: -0.024187 Loss_G: 0.018559 Loss_D_real: -0.012269 Loss_D_fake 0.011919
[785/5000][310/535][80857] Loss_D: -0.024310 Loss_G: 0.008643 Loss_D_real: -0.023415 Loss_D_fake 0.000895
[785/5000][315/535][80858] Loss_D: -0.023325 Loss_G: 0.016950 Loss_D_real: -0.026541 Loss_D_fake -0.003216
[785/5000][320/535][80859] Loss_D: -0.023765 Loss_G: 0.011881 Loss_D_real: -0.028343 Loss_D_fake -0.004578
[785/5000][325/535][80860] Loss_D: -0.023848 Loss_G: -0.005082 Loss_D_real: -0.006219 Loss_D_fake 0.017629
[785/5000][330/535][80861] Loss_D: -0.024289 Loss_G: 0.008473 Loss_D_real: -0.023559 Loss_D_fake 0.000730
[785/5000][335/535][80862] Loss_D: -0.023578 Loss_G: -0.011331 Loss_D_real: -0.003047 Loss_D_fake 0.020531
[785/5000][340/535][80863] Loss_D: -0.022621 Loss_G: 0.015192 Loss_D_real: -0.030450 Loss_D_fake -0.007830
[785/5000][345/535][80864] Loss_D: -0.024558 Loss_G: 0.021088 Loss_D_real: -0.016931 Loss_D_fake 0.007627
[785/5000][350/535][80865] Loss_D: -0.022586 Loss_G: -0.007166 Loss_D_real: -0.008621 Loss_D_fake 0.013965
[785/5000][355/535][80866] Loss_D: -0.023802 Loss_G: 0.022755 Loss_D_real: -0.018140 Loss_D_fake 0.005662
[785/5000][360/535][80867] Loss_D: -0.023390 Loss_G: 0.008249 Loss_D_real: -0.021316 Loss_D_fake 0.002074
[785/5000][365/535][80868] Loss_D: -0.023850 Loss_G: -0.002150 Loss_D_real: -0.007000 Loss_D_fake 0.016850
[785/5000][370/535][80869] Loss_D: -0.024413 Loss_G: 0.013567 Loss_D_real: -0.021876 Loss_D_fake 0.002537
[785/5000][375/535][80870] Loss_D: -0.024064 Loss_G: 0.008970 Loss_D_real: -0.008714 Loss_D_fake 0.015349
[785/5000][380/535][80871] Loss_D: -0.024284 Loss_G: -0.001055 Loss_D_real: -0.003236 Loss_D_fake 0.021048
[785/5000][385/535][80872] Loss_D: -0.023615 Loss_G: 0.025698 Loss_D_real: -0.024516 Loss_D_fake -0.000901
[785/5000][390/535][80873] Loss_D: -0.023685 Loss_G: 0.009339 Loss_D_real: -0.020551 Loss_D_fake 0.003135
[785/5000][395/535][80874] Loss_D: -0.024151 Loss_G: -0.004061 Loss_D_real: -0.020407 Loss_D_fake 0.003744
[785/5000][400/535][80875] Loss_D: -0.024047 Loss_G: -0.005574 Loss_D_real: -0.005655 Loss_D_fake 0.018391
[785/5000][405/535][80876] Loss_D: -0.020892 Loss_G: 0.032101 Loss_D_real: -0.033562 Loss_D_fake -0.012669
[785/5000][410/535][80877] Loss_D: -0.025232 Loss_G: 0.004846 Loss_D_real: -0.020167 Loss_D_fake 0.005065
[785/5000][415/535][80878] Loss_D: -0.023563 Loss_G: 0.025047 Loss_D_real: -0.024292 Loss_D_fake -0.000729
[785/5000][420/535][80879] Loss_D: -0.023433 Loss_G: 0.021845 Loss_D_real: -0.020874 Loss_D_fake 0.002559
[785/5000][425/535][80880] Loss_D: -0.024623 Loss_G: 0.002484 Loss_D_real: -0.018126 Loss_D_fake 0.006497
[785/5000][430/535][80881] Loss_D: -0.023777 Loss_G: 0.001818 Loss_D_real: -0.022121 Loss_D_fake 0.001655
[785/5000][435/535][80882] Loss_D: -0.025130 Loss_G: 0.029441 Loss_D_real: -0.033443 Loss_D_fake -0.008313
[785/5000][440/535][80883] Loss_D: -0.023778 Loss_G: 0.014064 Loss_D_real: -0.014774 Loss_D_fake 0.009003
[785/5000][445/535][80884] Loss_D: -0.022767 Loss_G: 0.022779 Loss_D_real: -0.038441 Loss_D_fake -0.015674
[785/5000][450/535][80885] Loss_D: -0.024757 Loss_G: 0.014389 Loss_D_real: -0.019714 Loss_D_fake 0.005043
[785/5000][455/535][80886] Loss_D: -0.023322 Loss_G: 0.012733 Loss_D_real: -0.014905 Loss_D_fake 0.008417
[785/5000][460/535][80887] Loss_D: -0.023704 Loss_G: -0.002172 Loss_D_real: -0.019648 Loss_D_fake 0.004057
[785/5000][465/535][80888] Loss_D: -0.023785 Loss_G: 0.011461 Loss_D_real: -0.024379 Loss_D_fake -0.000595
[785/5000][470/535][80889] Loss_D: -0.024210 Loss_G: 0.011856 Loss_D_real: -0.022065 Loss_D_fake 0.002145
[785/5000][475/535][80890] Loss_D: -0.023788 Loss_G: 0.008616 Loss_D_real: -0.022157 Loss_D_fake 0.001631
[785/5000][480/535][80891] Loss_D: -0.023152 Loss_G: 0.001556 Loss_D_real: -0.029925 Loss_D_fake -0.006772
[785/5000][485/535][80892] Loss_D: -0.023058 Loss_G: 0.004447 Loss_D_real: -0.021594 Loss_D_fake 0.001464
[785/5000][490/535][80893] Loss_D: -0.023393 Loss_G: 0.025749 Loss_D_real: -0.033437 Loss_D_fake -0.010045
[785/5000][495/535][80894] Loss_D: -0.025206 Loss_G: 0.015452 Loss_D_real: -0.018748 Loss_D_fake 0.006458
[785/5000][500/535][80895] Loss_D: -0.021800 Loss_G: -0.005816 Loss_D_real: -0.013108 Loss_D_fake 0.008692
[785/5000][505/535][80896] Loss_D: -0.022516 Loss_G: 0.014187 Loss_D_real: -0.024151 Loss_D_fake -0.001635
[785/5000][510/535][80897] Loss_D: -0.023540 Loss_G: 0.008394 Loss_D_real: -0.017205 Loss_D_fake 0.006336
[785/5000][515/535][80898] Loss_D: -0.022949 Loss_G: -0.010056 Loss_D_real: -0.003543 Loss_D_fake 0.019406
[785/5000][520/535][80899] Loss_D: -0.023787 Loss_G: 0.010388 Loss_D_real: -0.015126 Loss_D_fake 0.008661
[785/5000][525/535][80900] Loss_D: -0.023003 Loss_G: 0.001079 Loss_D_real: -0.025335 Loss_D_fake -0.002333
[785/5000][530/535][80901] Loss_D: -0.024109 Loss_G: 0.016954 Loss_D_real: -0.013232 Loss_D_fake 0.010877
[785/5000][535/535][80902] Loss_D: -0.023504 Loss_G: 0.001218 Loss_D_real: -0.024382 Loss_D_fake -0.000878
[786/5000][5/535][80903] Loss_D: -0.023559 Loss_G: 0.020231 Loss_D_real: -0.020250 Loss_D_fake 0.003309
[786/5000][10/535][80904] Loss_D: -0.023925 Loss_G: 0.006128 Loss_D_real: -0.014039 Loss_D_fake 0.009886
[786/5000][15/535][80905] Loss_D: -0.022899 Loss_G: -0.006030 Loss_D_real: -0.017777 Loss_D_fake 0.005122
[786/5000][20/535][80906] Loss_D: -0.023967 Loss_G: -0.001071 Loss_D_real: -0.011231 Loss_D_fake 0.012736
[786/5000][25/535][80907] Loss_D: -0.023771 Loss_G: -0.002542 Loss_D_real: -0.004288 Loss_D_fake 0.019483
[786/5000][30/535][80908] Loss_D: -0.023335 Loss_G: 0.004483 Loss_D_real: -0.015569 Loss_D_fake 0.007767
[786/5000][35/535][80909] Loss_D: -0.024161 Loss_G: 0.018314 Loss_D_real: -0.012774 Loss_D_fake 0.011387
[786/5000][40/535][80910] Loss_D: -0.023994 Loss_G: 0.022334 Loss_D_real: -0.032350 Loss_D_fake -0.008356
[786/5000][45/535][80911] Loss_D: -0.023847 Loss_G: 0.005948 Loss_D_real: -0.016194 Loss_D_fake 0.007653
[786/5000][50/535][80912] Loss_D: -0.023818 Loss_G: -0.002367 Loss_D_real: -0.010578 Loss_D_fake 0.013240
[786/5000][55/535][80913] Loss_D: -0.023772 Loss_G: 0.020177 Loss_D_real: -0.031578 Loss_D_fake -0.007806
[786/5000][60/535][80914] Loss_D: -0.024083 Loss_G: 0.011907 Loss_D_real: -0.013608 Loss_D_fake 0.010475
[786/5000][65/535][80915] Loss_D: -0.022676 Loss_G: 0.028160 Loss_D_real: -0.033899 Loss_D_fake -0.011223
[786/5000][70/535][80916] Loss_D: -0.023455 Loss_G: 0.022515 Loss_D_real: -0.038942 Loss_D_fake -0.015488
[786/5000][75/535][80917] Loss_D: -0.024984 Loss_G: -0.005597 Loss_D_real: -0.019008 Loss_D_fake 0.005976
[786/5000][80/535][80918] Loss_D: -0.022731 Loss_G: 0.024194 Loss_D_real: -0.033465 Loss_D_fake -0.010734
[786/5000][85/535][80919] Loss_D: -0.023428 Loss_G: 0.000760 Loss_D_real: -0.019273 Loss_D_fake 0.004155
[786/5000][90/535][80920] Loss_D: -0.023730 Loss_G: 0.026919 Loss_D_real: -0.031996 Loss_D_fake -0.008267
[786/5000][95/535][80921] Loss_D: -0.022838 Loss_G: 0.011499 Loss_D_real: -0.008418 Loss_D_fake 0.014420
[786/5000][100/535][80922] Loss_D: -0.023356 Loss_G: 0.008730 Loss_D_real: -0.007657 Loss_D_fake 0.015700
[786/5000][105/535][80923] Loss_D: -0.022540 Loss_G: 0.014031 Loss_D_real: -0.023581 Loss_D_fake -0.001041
[786/5000][110/535][80924] Loss_D: -0.021035 Loss_G: 0.019423 Loss_D_real: -0.036962 Loss_D_fake -0.015927
[786/5000][115/535][80925] Loss_D: -0.024872 Loss_G: 0.016938 Loss_D_real: -0.019642 Loss_D_fake 0.005231
[786/5000][120/535][80926] Loss_D: -0.023810 Loss_G: 0.016256 Loss_D_real: -0.034537 Loss_D_fake -0.010727
[786/5000][125/535][80927] Loss_D: -0.024703 Loss_G: 0.004697 Loss_D_real: -0.014485 Loss_D_fake 0.010219
[786/5000][130/535][80928] Loss_D: -0.025646 Loss_G: 0.008584 Loss_D_real: -0.023473 Loss_D_fake 0.002172
[786/5000][135/535][80929] Loss_D: -0.024185 Loss_G: 0.008763 Loss_D_real: -0.015028 Loss_D_fake 0.009157
[786/5000][140/535][80930] Loss_D: -0.023664 Loss_G: -0.003627 Loss_D_real: 0.002894 Loss_D_fake 0.026558
[786/5000][145/535][80931] Loss_D: -0.022794 Loss_G: 0.026568 Loss_D_real: -0.031085 Loss_D_fake -0.008291
[786/5000][150/535][80932] Loss_D: -0.023161 Loss_G: 0.031464 Loss_D_real: -0.030967 Loss_D_fake -0.007806
[786/5000][155/535][80933] Loss_D: -0.023957 Loss_G: 0.000005 Loss_D_real: -0.010789 Loss_D_fake 0.013168
[786/5000][160/535][80934] Loss_D: -0.023864 Loss_G: 0.006944 Loss_D_real: -0.019528 Loss_D_fake 0.004336
[786/5000][165/535][80935] Loss_D: -0.025814 Loss_G: -0.005779 Loss_D_real: -0.012991 Loss_D_fake 0.012823
[786/5000][170/535][80936] Loss_D: -0.023318 Loss_G: 0.015428 Loss_D_real: -0.017338 Loss_D_fake 0.005981
[786/5000][175/535][80937] Loss_D: -0.022907 Loss_G: 0.004219 Loss_D_real: -0.012063 Loss_D_fake 0.010844
[786/5000][180/535][80938] Loss_D: -0.024060 Loss_G: 0.006437 Loss_D_real: -0.012405 Loss_D_fake 0.011654
[786/5000][185/535][80939] Loss_D: -0.021610 Loss_G: 0.016022 Loss_D_real: -0.035903 Loss_D_fake -0.014292
[786/5000][190/535][80940] Loss_D: -0.023349 Loss_G: 0.010462 Loss_D_real: -0.009617 Loss_D_fake 0.013732
[786/5000][195/535][80941] Loss_D: -0.021503 Loss_G: 0.003003 Loss_D_real: -0.020106 Loss_D_fake 0.001397
[786/5000][200/535][80942] Loss_D: -0.022477 Loss_G: 0.009058 Loss_D_real: -0.022746 Loss_D_fake -0.000269
[786/5000][205/535][80943] Loss_D: -0.022338 Loss_G: -0.010837 Loss_D_real: -0.010264 Loss_D_fake 0.012074
[786/5000][210/535][80944] Loss_D: -0.024120 Loss_G: 0.003312 Loss_D_real: -0.009568 Loss_D_fake 0.014552
[786/5000][215/535][80945] Loss_D: -0.023520 Loss_G: -0.002310 Loss_D_real: -0.006568 Loss_D_fake 0.016952
[786/5000][220/535][80946] Loss_D: -0.023522 Loss_G: 0.016997 Loss_D_real: -0.026844 Loss_D_fake -0.003322
[786/5000][225/535][80947] Loss_D: -0.024584 Loss_G: 0.025891 Loss_D_real: -0.029784 Loss_D_fake -0.005200
[786/5000][230/535][80948] Loss_D: -0.024183 Loss_G: 0.013262 Loss_D_real: -0.025829 Loss_D_fake -0.001646
[786/5000][235/535][80949] Loss_D: -0.024024 Loss_G: 0.007383 Loss_D_real: -0.014084 Loss_D_fake 0.009940
[786/5000][240/535][80950] Loss_D: -0.025450 Loss_G: 0.016311 Loss_D_real: -0.018711 Loss_D_fake 0.006739
[786/5000][245/535][80951] Loss_D: -0.024017 Loss_G: 0.011352 Loss_D_real: -0.016977 Loss_D_fake 0.007041
[786/5000][250/535][80952] Loss_D: -0.023851 Loss_G: 0.018398 Loss_D_real: -0.023298 Loss_D_fake 0.000553
[786/5000][255/535][80953] Loss_D: -0.024494 Loss_G: -0.000612 Loss_D_real: -0.017652 Loss_D_fake 0.006842
[786/5000][260/535][80954] Loss_D: -0.024921 Loss_G: 0.009373 Loss_D_real: -0.013098 Loss_D_fake 0.011824
[786/5000][265/535][80955] Loss_D: -0.023302 Loss_G: -0.004950 Loss_D_real: 0.000844 Loss_D_fake 0.024146
[786/5000][270/535][80956] Loss_D: -0.023860 Loss_G: 0.014424 Loss_D_real: -0.025857 Loss_D_fake -0.001998
[786/5000][275/535][80957] Loss_D: -0.023158 Loss_G: -0.004023 Loss_D_real: -0.005662 Loss_D_fake 0.017496
[786/5000][280/535][80958] Loss_D: -0.023850 Loss_G: -0.000862 Loss_D_real: -0.011618 Loss_D_fake 0.012232
[786/5000][285/535][80959] Loss_D: -0.022753 Loss_G: -0.005392 Loss_D_real: -0.003863 Loss_D_fake 0.018889
[786/5000][290/535][80960] Loss_D: -0.022544 Loss_G: 0.006902 Loss_D_real: -0.028166 Loss_D_fake -0.005621
[786/5000][295/535][80961] Loss_D: -0.022509 Loss_G: 0.023257 Loss_D_real: -0.036754 Loss_D_fake -0.014245
[786/5000][300/535][80962] Loss_D: -0.022425 Loss_G: 0.014096 Loss_D_real: -0.029440 Loss_D_fake -0.007015
[786/5000][305/535][80963] Loss_D: -0.023298 Loss_G: 0.022559 Loss_D_real: -0.032124 Loss_D_fake -0.008825
[786/5000][310/535][80964] Loss_D: -0.023631 Loss_G: 0.009783 Loss_D_real: -0.012041 Loss_D_fake 0.011590
[786/5000][315/535][80965] Loss_D: -0.022756 Loss_G: -0.010754 Loss_D_real: -0.006217 Loss_D_fake 0.016539
[786/5000][320/535][80966] Loss_D: -0.023388 Loss_G: 0.017848 Loss_D_real: -0.025158 Loss_D_fake -0.001770
[786/5000][325/535][80967] Loss_D: -0.023108 Loss_G: -0.013321 Loss_D_real: -0.003206 Loss_D_fake 0.019902
[786/5000][330/535][80968] Loss_D: -0.022104 Loss_G: 0.028847 Loss_D_real: -0.028390 Loss_D_fake -0.006287
[786/5000][335/535][80969] Loss_D: -0.023875 Loss_G: 0.011858 Loss_D_real: -0.023248 Loss_D_fake 0.000627
[786/5000][340/535][80970] Loss_D: -0.024272 Loss_G: 0.024433 Loss_D_real: -0.032957 Loss_D_fake -0.008685
[786/5000][345/535][80971] Loss_D: -0.025085 Loss_G: 0.014831 Loss_D_real: -0.029094 Loss_D_fake -0.004009
[786/5000][350/535][80972] Loss_D: -0.025139 Loss_G: 0.010145 Loss_D_real: -0.017085 Loss_D_fake 0.008054
[786/5000][355/535][80973] Loss_D: -0.023368 Loss_G: 0.003798 Loss_D_real: -0.012300 Loss_D_fake 0.011068
[786/5000][360/535][80974] Loss_D: -0.023862 Loss_G: 0.010929 Loss_D_real: -0.022633 Loss_D_fake 0.001229
[786/5000][365/535][80975] Loss_D: -0.021082 Loss_G: 0.001843 Loss_D_real: -0.023603 Loss_D_fake -0.002521
[786/5000][370/535][80976] Loss_D: -0.023750 Loss_G: 0.003958 Loss_D_real: -0.024622 Loss_D_fake -0.000872
[786/5000][375/535][80977] Loss_D: -0.025126 Loss_G: 0.003157 Loss_D_real: -0.015177 Loss_D_fake 0.009948
[786/5000][380/535][80978] Loss_D: -0.023749 Loss_G: 0.031537 Loss_D_real: -0.032841 Loss_D_fake -0.009093
[786/5000][385/535][80979] Loss_D: -0.025133 Loss_G: 0.002226 Loss_D_real: -0.009410 Loss_D_fake 0.015722
[786/5000][390/535][80980] Loss_D: -0.024720 Loss_G: 0.001544 Loss_D_real: -0.010369 Loss_D_fake 0.014351
[786/5000][395/535][80981] Loss_D: -0.024179 Loss_G: 0.004054 Loss_D_real: -0.021414 Loss_D_fake 0.002765
[786/5000][400/535][80982] Loss_D: -0.024637 Loss_G: 0.015133 Loss_D_real: -0.030096 Loss_D_fake -0.005459
[786/5000][405/535][80983] Loss_D: -0.024560 Loss_G: 0.015649 Loss_D_real: -0.026229 Loss_D_fake -0.001669
[786/5000][410/535][80984] Loss_D: -0.023773 Loss_G: 0.029339 Loss_D_real: -0.029400 Loss_D_fake -0.005627
[786/5000][415/535][80985] Loss_D: -0.024930 Loss_G: 0.014219 Loss_D_real: -0.018185 Loss_D_fake 0.006745
[786/5000][420/535][80986] Loss_D: -0.024556 Loss_G: 0.003668 Loss_D_real: -0.008662 Loss_D_fake 0.015895
[786/5000][425/535][80987] Loss_D: -0.025665 Loss_G: 0.007214 Loss_D_real: -0.019281 Loss_D_fake 0.006384
[786/5000][430/535][80988] Loss_D: -0.024123 Loss_G: 0.005731 Loss_D_real: -0.007864 Loss_D_fake 0.016259
[786/5000][435/535][80989] Loss_D: -0.021748 Loss_G: 0.022066 Loss_D_real: -0.025452 Loss_D_fake -0.003703
[786/5000][440/535][80990] Loss_D: -0.024636 Loss_G: 0.002268 Loss_D_real: -0.020818 Loss_D_fake 0.003818
[786/5000][445/535][80991] Loss_D: -0.024256 Loss_G: 0.008551 Loss_D_real: -0.014892 Loss_D_fake 0.009364
[786/5000][450/535][80992] Loss_D: -0.024716 Loss_G: 0.011768 Loss_D_real: -0.028009 Loss_D_fake -0.003293
[786/5000][455/535][80993] Loss_D: -0.025051 Loss_G: 0.016348 Loss_D_real: -0.028574 Loss_D_fake -0.003523
[786/5000][460/535][80994] Loss_D: -0.022677 Loss_G: 0.019743 Loss_D_real: -0.026972 Loss_D_fake -0.004295
[786/5000][465/535][80995] Loss_D: -0.024308 Loss_G: 0.006950 Loss_D_real: -0.026376 Loss_D_fake -0.002068
[786/5000][470/535][80996] Loss_D: -0.023399 Loss_G: 0.014711 Loss_D_real: -0.026758 Loss_D_fake -0.003359
[786/5000][475/535][80997] Loss_D: -0.023451 Loss_G: -0.002843 Loss_D_real: -0.011877 Loss_D_fake 0.011574
[786/5000][480/535][80998] Loss_D: -0.023325 Loss_G: 0.006518 Loss_D_real: -0.023007 Loss_D_fake 0.000318
[786/5000][485/535][80999] Loss_D: -0.024447 Loss_G: -0.002255 Loss_D_real: -0.005821 Loss_D_fake 0.018626
[786/5000][490/535][81000] Loss_D: -0.023581 Loss_G: 0.005194 Loss_D_real: -0.016634 Loss_D_fake 0.006946
[786/5000][535/535][81001] Loss_D: -0.024016 Loss_G: 0.002024 Loss_D_real: 0.007254 Loss_D_fake 0.031271
[787/5000][5/535][81002] Loss_D: -0.024090 Loss_G: 0.013165 Loss_D_real: -0.018354 Loss_D_fake 0.005736
[787/5000][10/535][81003] Loss_D: -0.022885 Loss_G: 0.014220 Loss_D_real: -0.021637 Loss_D_fake 0.001248
[787/5000][15/535][81004] Loss_D: -0.021988 Loss_G: -0.018163 Loss_D_real: 0.001552 Loss_D_fake 0.023539
[787/5000][20/535][81005] Loss_D: -0.022590 Loss_G: -0.001632 Loss_D_real: -0.006042 Loss_D_fake 0.016548
[787/5000][25/535][81006] Loss_D: -0.023831 Loss_G: 0.003813 Loss_D_real: -0.015476 Loss_D_fake 0.008355
[787/5000][30/535][81007] Loss_D: -0.024176 Loss_G: -0.001083 Loss_D_real: -0.002794 Loss_D_fake 0.021382
[787/5000][35/535][81008] Loss_D: -0.022966 Loss_G: 0.014475 Loss_D_real: -0.022384 Loss_D_fake 0.000582
[787/5000][40/535][81009] Loss_D: -0.023586 Loss_G: -0.002506 Loss_D_real: 0.001803 Loss_D_fake 0.025389
[787/5000][45/535][81010] Loss_D: -0.022528 Loss_G: 0.020764 Loss_D_real: -0.030485 Loss_D_fake -0.007958
[787/5000][50/535][81011] Loss_D: -0.024171 Loss_G: 0.006521 Loss_D_real: -0.024038 Loss_D_fake 0.000133
[787/5000][55/535][81012] Loss_D: -0.024015 Loss_G: 0.010178 Loss_D_real: -0.008549 Loss_D_fake 0.015465
[787/5000][60/535][81013] Loss_D: -0.024752 Loss_G: 0.013827 Loss_D_real: -0.018645 Loss_D_fake 0.006107
[787/5000][65/535][81014] Loss_D: -0.023879 Loss_G: 0.012154 Loss_D_real: -0.021433 Loss_D_fake 0.002446
[787/5000][70/535][81015] Loss_D: -0.023918 Loss_G: -0.005240 Loss_D_real: 0.005214 Loss_D_fake 0.029133
[787/5000][75/535][81016] Loss_D: -0.024369 Loss_G: 0.021694 Loss_D_real: -0.020369 Loss_D_fake 0.004001
[787/5000][80/535][81017] Loss_D: -0.024338 Loss_G: 0.012541 Loss_D_real: -0.018591 Loss_D_fake 0.005748
[787/5000][85/535][81018] Loss_D: -0.024924 Loss_G: -0.003129 Loss_D_real: -0.013096 Loss_D_fake 0.011828
[787/5000][90/535][81019] Loss_D: -0.024611 Loss_G: 0.015336 Loss_D_real: -0.015418 Loss_D_fake 0.009193
[787/5000][95/535][81020] Loss_D: -0.024456 Loss_G: -0.000083 Loss_D_real: -0.010121 Loss_D_fake 0.014335
[787/5000][100/535][81021] Loss_D: -0.024402 Loss_G: 0.014937 Loss_D_real: -0.026791 Loss_D_fake -0.002388
[787/5000][105/535][81022] Loss_D: -0.025287 Loss_G: 0.009821 Loss_D_real: -0.023822 Loss_D_fake 0.001465
[787/5000][110/535][81023] Loss_D: -0.024965 Loss_G: 0.017138 Loss_D_real: -0.026965 Loss_D_fake -0.002000
[787/5000][115/535][81024] Loss_D: -0.022548 Loss_G: 0.012900 Loss_D_real: -0.035131 Loss_D_fake -0.012583
[787/5000][120/535][81025] Loss_D: -0.024028 Loss_G: 0.010246 Loss_D_real: -0.008829 Loss_D_fake 0.015199
[787/5000][125/535][81026] Loss_D: -0.023343 Loss_G: 0.004031 Loss_D_real: -0.019708 Loss_D_fake 0.003635
[787/5000][130/535][81027] Loss_D: -0.022198 Loss_G: 0.020247 Loss_D_real: -0.022989 Loss_D_fake -0.000791
[787/5000][135/535][81028] Loss_D: -0.024153 Loss_G: -0.007922 Loss_D_real: -0.006292 Loss_D_fake 0.017861
[787/5000][140/535][81029] Loss_D: -0.022863 Loss_G: 0.019386 Loss_D_real: -0.029340 Loss_D_fake -0.006477
[787/5000][145/535][81030] Loss_D: -0.024109 Loss_G: -0.001264 Loss_D_real: -0.011414 Loss_D_fake 0.012695
[787/5000][150/535][81031] Loss_D: -0.023203 Loss_G: 0.013076 Loss_D_real: -0.026954 Loss_D_fake -0.003751
[787/5000][155/535][81032] Loss_D: -0.024133 Loss_G: 0.011879 Loss_D_real: -0.023287 Loss_D_fake 0.000847
[787/5000][160/535][81033] Loss_D: -0.024420 Loss_G: 0.020936 Loss_D_real: -0.019904 Loss_D_fake 0.004516
[787/5000][165/535][81034] Loss_D: -0.023443 Loss_G: -0.000553 Loss_D_real: -0.003142 Loss_D_fake 0.020301
[787/5000][170/535][81035] Loss_D: -0.022907 Loss_G: 0.005397 Loss_D_real: -0.016680 Loss_D_fake 0.006227
[787/5000][175/535][81036] Loss_D: -0.023887 Loss_G: 0.008843 Loss_D_real: -0.025025 Loss_D_fake -0.001137
[787/5000][180/535][81037] Loss_D: -0.024379 Loss_G: 0.001654 Loss_D_real: -0.028156 Loss_D_fake -0.003777
[787/5000][185/535][81038] Loss_D: -0.024520 Loss_G: -0.006766 Loss_D_real: -0.002971 Loss_D_fake 0.021548
[787/5000][190/535][81039] Loss_D: -0.025423 Loss_G: 0.011183 Loss_D_real: -0.023717 Loss_D_fake 0.001706
[787/5000][195/535][81040] Loss_D: -0.023619 Loss_G: 0.009340 Loss_D_real: -0.013345 Loss_D_fake 0.010274
[787/5000][200/535][81041] Loss_D: -0.024391 Loss_G: 0.018552 Loss_D_real: -0.035281 Loss_D_fake -0.010891
[787/5000][205/535][81042] Loss_D: -0.023486 Loss_G: 0.016055 Loss_D_real: -0.020912 Loss_D_fake 0.002574
[787/5000][210/535][81043] Loss_D: -0.024816 Loss_G: -0.001693 Loss_D_real: -0.006013 Loss_D_fake 0.018802
[787/5000][215/535][81044] Loss_D: -0.023728 Loss_G: 0.013491 Loss_D_real: -0.032345 Loss_D_fake -0.008617
[787/5000][220/535][81045] Loss_D: -0.023859 Loss_G: 0.003375 Loss_D_real: -0.017764 Loss_D_fake 0.006095
[787/5000][225/535][81046] Loss_D: -0.023082 Loss_G: 0.021821 Loss_D_real: -0.031000 Loss_D_fake -0.007919
[787/5000][230/535][81047] Loss_D: -0.021218 Loss_G: 0.030095 Loss_D_real: -0.031062 Loss_D_fake -0.009844
[787/5000][235/535][81048] Loss_D: -0.023476 Loss_G: 0.009599 Loss_D_real: -0.018515 Loss_D_fake 0.004961
[787/5000][240/535][81049] Loss_D: -0.023484 Loss_G: 0.004563 Loss_D_real: -0.021872 Loss_D_fake 0.001612
[787/5000][245/535][81050] Loss_D: -0.024281 Loss_G: -0.000124 Loss_D_real: -0.012185 Loss_D_fake 0.012096
[787/5000][250/535][81051] Loss_D: -0.023274 Loss_G: 0.005172 Loss_D_real: -0.024537 Loss_D_fake -0.001263
[787/5000][255/535][81052] Loss_D: -0.022889 Loss_G: -0.010863 Loss_D_real: -0.010616 Loss_D_fake 0.012273
[787/5000][260/535][81053] Loss_D: -0.022973 Loss_G: 0.000567 Loss_D_real: -0.021337 Loss_D_fake 0.001636
[787/5000][265/535][81054] Loss_D: -0.023287 Loss_G: 0.009414 Loss_D_real: -0.002447 Loss_D_fake 0.020840
[787/5000][270/535][81055] Loss_D: -0.024523 Loss_G: 0.014794 Loss_D_real: -0.022118 Loss_D_fake 0.002405
[787/5000][275/535][81056] Loss_D: -0.023360 Loss_G: 0.017032 Loss_D_real: -0.021586 Loss_D_fake 0.001774
[787/5000][280/535][81057] Loss_D: -0.024614 Loss_G: 0.009408 Loss_D_real: -0.028762 Loss_D_fake -0.004148
[787/5000][285/535][81058] Loss_D: -0.023516 Loss_G: 0.011296 Loss_D_real: -0.020822 Loss_D_fake 0.002694
[787/5000][290/535][81059] Loss_D: -0.022653 Loss_G: 0.008988 Loss_D_real: -0.024566 Loss_D_fake -0.001913
[787/5000][295/535][81060] Loss_D: -0.023504 Loss_G: 0.003203 Loss_D_real: -0.018179 Loss_D_fake 0.005325
[787/5000][300/535][81061] Loss_D: -0.022715 Loss_G: 0.009188 Loss_D_real: -0.025458 Loss_D_fake -0.002743
[787/5000][305/535][81062] Loss_D: -0.023563 Loss_G: 0.005790 Loss_D_real: -0.025286 Loss_D_fake -0.001723
[787/5000][310/535][81063] Loss_D: -0.022376 Loss_G: 0.020946 Loss_D_real: -0.034305 Loss_D_fake -0.011928
[787/5000][315/535][81064] Loss_D: -0.023804 Loss_G: 0.007755 Loss_D_real: -0.019240 Loss_D_fake 0.004564
[787/5000][320/535][81065] Loss_D: -0.024822 Loss_G: -0.000894 Loss_D_real: -0.022382 Loss_D_fake 0.002439
[787/5000][325/535][81066] Loss_D: -0.024340 Loss_G: 0.006435 Loss_D_real: -0.012027 Loss_D_fake 0.012313
[787/5000][330/535][81067] Loss_D: -0.022393 Loss_G: -0.011174 Loss_D_real: 0.001243 Loss_D_fake 0.023636
[787/5000][335/535][81068] Loss_D: -0.024710 Loss_G: 0.013105 Loss_D_real: -0.029387 Loss_D_fake -0.004677
[787/5000][340/535][81069] Loss_D: -0.024844 Loss_G: 0.001486 Loss_D_real: -0.009048 Loss_D_fake 0.015796
[787/5000][345/535][81070] Loss_D: -0.023563 Loss_G: 0.026080 Loss_D_real: -0.019633 Loss_D_fake 0.003930
[787/5000][350/535][81071] Loss_D: -0.022298 Loss_G: 0.008179 Loss_D_real: -0.017013 Loss_D_fake 0.005285
[787/5000][355/535][81072] Loss_D: -0.021726 Loss_G: 0.011345 Loss_D_real: -0.022250 Loss_D_fake -0.000524
[787/5000][360/535][81073] Loss_D: -0.024004 Loss_G: 0.012504 Loss_D_real: -0.017050 Loss_D_fake 0.006954
[787/5000][365/535][81074] Loss_D: -0.023796 Loss_G: 0.023779 Loss_D_real: -0.025946 Loss_D_fake -0.002149
[787/5000][370/535][81075] Loss_D: -0.022810 Loss_G: 0.011314 Loss_D_real: -0.023213 Loss_D_fake -0.000403
[787/5000][375/535][81076] Loss_D: -0.024294 Loss_G: 0.017632 Loss_D_real: -0.031152 Loss_D_fake -0.006858
[787/5000][380/535][81077] Loss_D: -0.023199 Loss_G: 0.018819 Loss_D_real: -0.026109 Loss_D_fake -0.002910
[787/5000][385/535][81078] Loss_D: -0.025129 Loss_G: 0.015888 Loss_D_real: -0.016245 Loss_D_fake 0.008885
[787/5000][390/535][81079] Loss_D: -0.022917 Loss_G: -0.000854 Loss_D_real: -0.014291 Loss_D_fake 0.008626
[787/5000][395/535][81080] Loss_D: -0.024143 Loss_G: -0.014973 Loss_D_real: -0.007336 Loss_D_fake 0.016806
[787/5000][400/535][81081] Loss_D: -0.024173 Loss_G: 0.009157 Loss_D_real: -0.017394 Loss_D_fake 0.006779
[787/5000][405/535][81082] Loss_D: -0.025661 Loss_G: 0.005344 Loss_D_real: -0.021139 Loss_D_fake 0.004522
[787/5000][410/535][81083] Loss_D: -0.024720 Loss_G: 0.001863 Loss_D_real: -0.007269 Loss_D_fake 0.017450
[787/5000][415/535][81084] Loss_D: -0.023206 Loss_G: -0.004081 Loss_D_real: -0.007502 Loss_D_fake 0.015703
[787/5000][420/535][81085] Loss_D: -0.024168 Loss_G: 0.010568 Loss_D_real: -0.026512 Loss_D_fake -0.002344
[787/5000][425/535][81086] Loss_D: -0.024079 Loss_G: 0.007870 Loss_D_real: -0.021013 Loss_D_fake 0.003066
[787/5000][430/535][81087] Loss_D: -0.024712 Loss_G: 0.006927 Loss_D_real: -0.023826 Loss_D_fake 0.000886
[787/5000][435/535][81088] Loss_D: -0.023558 Loss_G: -0.011410 Loss_D_real: -0.001256 Loss_D_fake 0.022302
[787/5000][440/535][81089] Loss_D: -0.024412 Loss_G: 0.025103 Loss_D_real: -0.023543 Loss_D_fake 0.000869
[787/5000][445/535][81090] Loss_D: -0.023149 Loss_G: 0.008843 Loss_D_real: -0.028110 Loss_D_fake -0.004961
[787/5000][450/535][81091] Loss_D: -0.023138 Loss_G: -0.013910 Loss_D_real: -0.007788 Loss_D_fake 0.015350
[787/5000][455/535][81092] Loss_D: -0.021542 Loss_G: -0.014750 Loss_D_real: 0.001328 Loss_D_fake 0.022869
[787/5000][460/535][81093] Loss_D: -0.024185 Loss_G: 0.007720 Loss_D_real: -0.014647 Loss_D_fake 0.009537
[787/5000][465/535][81094] Loss_D: -0.024255 Loss_G: 0.009669 Loss_D_real: -0.014885 Loss_D_fake 0.009371
[787/5000][470/535][81095] Loss_D: -0.024485 Loss_G: 0.010866 Loss_D_real: -0.021176 Loss_D_fake 0.003310
[787/5000][475/535][81096] Loss_D: -0.022377 Loss_G: 0.005349 Loss_D_real: -0.008780 Loss_D_fake 0.013597
[787/5000][480/535][81097] Loss_D: -0.022716 Loss_G: 0.013024 Loss_D_real: -0.020725 Loss_D_fake 0.001991
[787/5000][485/535][81098] Loss_D: -0.023615 Loss_G: 0.026748 Loss_D_real: -0.031261 Loss_D_fake -0.007646
[787/5000][490/535][81099] Loss_D: -0.023613 Loss_G: 0.011137 Loss_D_real: -0.012613 Loss_D_fake 0.010999
[787/5000][495/535][81100] Loss_D: -0.024734 Loss_G: 0.022412 Loss_D_real: -0.024680 Loss_D_fake 0.000054
[787/5000][500/535][81101] Loss_D: -0.023059 Loss_G: 0.004700 Loss_D_real: -0.018077 Loss_D_fake 0.004981
[787/5000][505/535][81102] Loss_D: -0.024755 Loss_G: 0.017538 Loss_D_real: -0.026728 Loss_D_fake -0.001973
[787/5000][510/535][81103] Loss_D: -0.026149 Loss_G: 0.017029 Loss_D_real: -0.018557 Loss_D_fake 0.007591
[787/5000][515/535][81104] Loss_D: -0.026102 Loss_G: 0.026549 Loss_D_real: -0.025813 Loss_D_fake 0.000289
[787/5000][520/535][81105] Loss_D: -0.024379 Loss_G: 0.004693 Loss_D_real: -0.020696 Loss_D_fake 0.003683
[787/5000][525/535][81106] Loss_D: -0.023865 Loss_G: 0.015489 Loss_D_real: -0.018764 Loss_D_fake 0.005101
[787/5000][530/535][81107] Loss_D: -0.023642 Loss_G: 0.011917 Loss_D_real: -0.023416 Loss_D_fake 0.000227
[787/5000][535/535][81108] Loss_D: -0.019225 Loss_G: 0.025726 Loss_D_real: -0.034136 Loss_D_fake -0.014911
[788/5000][5/535][81109] Loss_D: -0.023887 Loss_G: -0.003263 Loss_D_real: -0.002517 Loss_D_fake 0.021369
[788/5000][10/535][81110] Loss_D: -0.021588 Loss_G: 0.018438 Loss_D_real: -0.032389 Loss_D_fake -0.010801
[788/5000][15/535][81111] Loss_D: -0.023049 Loss_G: 0.010390 Loss_D_real: -0.014817 Loss_D_fake 0.008232
[788/5000][20/535][81112] Loss_D: -0.023282 Loss_G: -0.000763 Loss_D_real: -0.014056 Loss_D_fake 0.009227
[788/5000][25/535][81113] Loss_D: -0.023793 Loss_G: 0.004622 Loss_D_real: -0.013204 Loss_D_fake 0.010588
[788/5000][30/535][81114] Loss_D: -0.024053 Loss_G: 0.013721 Loss_D_real: -0.027266 Loss_D_fake -0.003213
[788/5000][35/535][81115] Loss_D: -0.023854 Loss_G: 0.001018 Loss_D_real: -0.004134 Loss_D_fake 0.019721
[788/5000][40/535][81116] Loss_D: -0.024726 Loss_G: 0.000643 Loss_D_real: -0.009053 Loss_D_fake 0.015673
[788/5000][45/535][81117] Loss_D: -0.023156 Loss_G: 0.018844 Loss_D_real: -0.036699 Loss_D_fake -0.013543
[788/5000][50/535][81118] Loss_D: -0.025080 Loss_G: 0.010414 Loss_D_real: -0.013005 Loss_D_fake 0.012075
[788/5000][55/535][81119] Loss_D: -0.024055 Loss_G: -0.007064 Loss_D_real: -0.013034 Loss_D_fake 0.011021
[788/5000][60/535][81120] Loss_D: -0.024060 Loss_G: 0.021299 Loss_D_real: -0.026455 Loss_D_fake -0.002395
[788/5000][65/535][81121] Loss_D: -0.023691 Loss_G: 0.011798 Loss_D_real: -0.018291 Loss_D_fake 0.005400
[788/5000][70/535][81122] Loss_D: -0.022663 Loss_G: 0.015106 Loss_D_real: -0.027844 Loss_D_fake -0.005181
[788/5000][75/535][81123] Loss_D: -0.024155 Loss_G: -0.008916 Loss_D_real: -0.014855 Loss_D_fake 0.009300
[788/5000][80/535][81124] Loss_D: -0.024356 Loss_G: -0.004611 Loss_D_real: -0.010429 Loss_D_fake 0.013927
[788/5000][85/535][81125] Loss_D: -0.022924 Loss_G: 0.009314 Loss_D_real: -0.021478 Loss_D_fake 0.001446
[788/5000][90/535][81126] Loss_D: -0.023446 Loss_G: 0.010591 Loss_D_real: -0.016593 Loss_D_fake 0.006853
[788/5000][95/535][81127] Loss_D: -0.022057 Loss_G: 0.007418 Loss_D_real: -0.017457 Loss_D_fake 0.004600
[788/5000][100/535][81128] Loss_D: -0.022757 Loss_G: 0.020673 Loss_D_real: -0.028501 Loss_D_fake -0.005744
[788/5000][105/535][81129] Loss_D: -0.024471 Loss_G: -0.001103 Loss_D_real: -0.011632 Loss_D_fake 0.012839
[788/5000][110/535][81130] Loss_D: -0.023652 Loss_G: 0.008200 Loss_D_real: -0.008987 Loss_D_fake 0.014666
[788/5000][115/535][81131] Loss_D: -0.023221 Loss_G: 0.019393 Loss_D_real: -0.014196 Loss_D_fake 0.009025
[788/5000][120/535][81132] Loss_D: -0.022915 Loss_G: 0.025556 Loss_D_real: -0.030716 Loss_D_fake -0.007800
[788/5000][125/535][81133] Loss_D: -0.023526 Loss_G: -0.008145 Loss_D_real: -0.012961 Loss_D_fake 0.010565
[788/5000][130/535][81134] Loss_D: -0.024890 Loss_G: 0.016689 Loss_D_real: -0.024670 Loss_D_fake 0.000220
[788/5000][135/535][81135] Loss_D: -0.024458 Loss_G: 0.005694 Loss_D_real: -0.015213 Loss_D_fake 0.009245
[788/5000][140/535][81136] Loss_D: -0.024296 Loss_G: 0.015269 Loss_D_real: -0.024992 Loss_D_fake -0.000695
[788/5000][145/535][81137] Loss_D: -0.024015 Loss_G: -0.009876 Loss_D_real: -0.001946 Loss_D_fake 0.022068
[788/5000][150/535][81138] Loss_D: -0.023015 Loss_G: 0.006374 Loss_D_real: -0.007546 Loss_D_fake 0.015469
[788/5000][155/535][81139] Loss_D: -0.024015 Loss_G: 0.017903 Loss_D_real: -0.020576 Loss_D_fake 0.003439
[788/5000][160/535][81140] Loss_D: -0.024792 Loss_G: 0.019952 Loss_D_real: -0.011366 Loss_D_fake 0.013426
[788/5000][165/535][81141] Loss_D: -0.024356 Loss_G: 0.010612 Loss_D_real: -0.015836 Loss_D_fake 0.008521
[788/5000][170/535][81142] Loss_D: -0.022949 Loss_G: -0.001172 Loss_D_real: -0.030533 Loss_D_fake -0.007584
[788/5000][175/535][81143] Loss_D: -0.023692 Loss_G: 0.011650 Loss_D_real: -0.024173 Loss_D_fake -0.000481
[788/5000][180/535][81144] Loss_D: -0.024520 Loss_G: -0.004003 Loss_D_real: -0.010465 Loss_D_fake 0.014055
[788/5000][185/535][81145] Loss_D: -0.022830 Loss_G: 0.001627 Loss_D_real: -0.015373 Loss_D_fake 0.007457
[788/5000][190/535][81146] Loss_D: -0.023629 Loss_G: 0.016450 Loss_D_real: -0.022338 Loss_D_fake 0.001292
[788/5000][195/535][81147] Loss_D: -0.023232 Loss_G: 0.006414 Loss_D_real: -0.019896 Loss_D_fake 0.003337
[788/5000][200/535][81148] Loss_D: -0.022778 Loss_G: 0.014393 Loss_D_real: -0.018581 Loss_D_fake 0.004197
[788/5000][205/535][81149] Loss_D: -0.022749 Loss_G: 0.017829 Loss_D_real: -0.026756 Loss_D_fake -0.004007
[788/5000][210/535][81150] Loss_D: -0.023823 Loss_G: 0.022232 Loss_D_real: -0.023074 Loss_D_fake 0.000749
[788/5000][215/535][81151] Loss_D: -0.023639 Loss_G: 0.003407 Loss_D_real: -0.025784 Loss_D_fake -0.002145
[788/5000][220/535][81152] Loss_D: -0.025214 Loss_G: 0.010962 Loss_D_real: -0.022591 Loss_D_fake 0.002623
[788/5000][225/535][81153] Loss_D: -0.022847 Loss_G: 0.012915 Loss_D_real: -0.029016 Loss_D_fake -0.006169
[788/5000][230/535][81154] Loss_D: -0.023648 Loss_G: 0.011386 Loss_D_real: -0.018941 Loss_D_fake 0.004707
[788/5000][235/535][81155] Loss_D: -0.024049 Loss_G: -0.004604 Loss_D_real: -0.002436 Loss_D_fake 0.021613
[788/5000][240/535][81156] Loss_D: -0.021961 Loss_G: 0.016339 Loss_D_real: -0.045489 Loss_D_fake -0.023528
[788/5000][245/535][81157] Loss_D: -0.023450 Loss_G: -0.001619 Loss_D_real: -0.003712 Loss_D_fake 0.019738
[788/5000][250/535][81158] Loss_D: -0.023394 Loss_G: -0.000828 Loss_D_real: -0.014321 Loss_D_fake 0.009072
[788/5000][255/535][81159] Loss_D: -0.024981 Loss_G: 0.020503 Loss_D_real: -0.022661 Loss_D_fake 0.002320
[788/5000][260/535][81160] Loss_D: -0.025171 Loss_G: 0.006145 Loss_D_real: -0.017887 Loss_D_fake 0.007284
[788/5000][265/535][81161] Loss_D: -0.024421 Loss_G: 0.008168 Loss_D_real: -0.012376 Loss_D_fake 0.012046
[788/5000][270/535][81162] Loss_D: -0.024358 Loss_G: 0.000586 Loss_D_real: -0.007692 Loss_D_fake 0.016666
[788/5000][275/535][81163] Loss_D: -0.024691 Loss_G: 0.016947 Loss_D_real: -0.018278 Loss_D_fake 0.006413
[788/5000][280/535][81164] Loss_D: -0.023376 Loss_G: -0.002385 Loss_D_real: -0.005752 Loss_D_fake 0.017624
[788/5000][285/535][81165] Loss_D: -0.023625 Loss_G: 0.010649 Loss_D_real: -0.022813 Loss_D_fake 0.000812
[788/5000][290/535][81166] Loss_D: -0.023794 Loss_G: -0.004928 Loss_D_real: -0.016147 Loss_D_fake 0.007647
[788/5000][295/535][81167] Loss_D: -0.021999 Loss_G: 0.031844 Loss_D_real: -0.033122 Loss_D_fake -0.011123
[788/5000][300/535][81168] Loss_D: -0.023454 Loss_G: 0.003462 Loss_D_real: -0.009233 Loss_D_fake 0.014220
[788/5000][305/535][81169] Loss_D: -0.024295 Loss_G: 0.002823 Loss_D_real: -0.025894 Loss_D_fake -0.001598
[788/5000][310/535][81170] Loss_D: -0.023482 Loss_G: 0.021537 Loss_D_real: -0.021745 Loss_D_fake 0.001737
[788/5000][315/535][81171] Loss_D: -0.023527 Loss_G: 0.005163 Loss_D_real: -0.020659 Loss_D_fake 0.002868
[788/5000][320/535][81172] Loss_D: -0.022433 Loss_G: 0.014595 Loss_D_real: -0.012364 Loss_D_fake 0.010069
[788/5000][325/535][81173] Loss_D: -0.022889 Loss_G: 0.015616 Loss_D_real: -0.031781 Loss_D_fake -0.008892
[788/5000][330/535][81174] Loss_D: -0.024605 Loss_G: 0.024234 Loss_D_real: -0.036990 Loss_D_fake -0.012384
[788/5000][335/535][81175] Loss_D: -0.024299 Loss_G: 0.002857 Loss_D_real: -0.009328 Loss_D_fake 0.014971
[788/5000][340/535][81176] Loss_D: -0.023264 Loss_G: -0.011411 Loss_D_real: -0.014391 Loss_D_fake 0.008873
[788/5000][345/535][81177] Loss_D: -0.024077 Loss_G: 0.007327 Loss_D_real: -0.008685 Loss_D_fake 0.015391
[788/5000][350/535][81178] Loss_D: -0.022186 Loss_G: 0.014597 Loss_D_real: -0.025639 Loss_D_fake -0.003454
[788/5000][355/535][81179] Loss_D: -0.023657 Loss_G: 0.011898 Loss_D_real: -0.015048 Loss_D_fake 0.008609
[788/5000][360/535][81180] Loss_D: -0.022622 Loss_G: 0.020964 Loss_D_real: -0.020805 Loss_D_fake 0.001817
[788/5000][365/535][81181] Loss_D: -0.023483 Loss_G: 0.021066 Loss_D_real: -0.035808 Loss_D_fake -0.012325
[788/5000][370/535][81182] Loss_D: -0.023909 Loss_G: 0.002784 Loss_D_real: -0.020898 Loss_D_fake 0.003011
[788/5000][375/535][81183] Loss_D: -0.023789 Loss_G: 0.023396 Loss_D_real: -0.023404 Loss_D_fake 0.000384
[788/5000][380/535][81184] Loss_D: -0.025070 Loss_G: 0.013123 Loss_D_real: -0.026912 Loss_D_fake -0.001841
[788/5000][385/535][81185] Loss_D: -0.022661 Loss_G: 0.011384 Loss_D_real: -0.019934 Loss_D_fake 0.002727
[788/5000][390/535][81186] Loss_D: -0.022224 Loss_G: -0.003504 Loss_D_real: -0.012680 Loss_D_fake 0.009544
[788/5000][395/535][81187] Loss_D: -0.023182 Loss_G: 0.015316 Loss_D_real: -0.019452 Loss_D_fake 0.003730
[788/5000][400/535][81188] Loss_D: -0.023135 Loss_G: 0.011018 Loss_D_real: -0.029131 Loss_D_fake -0.005996
[788/5000][405/535][81189] Loss_D: -0.023994 Loss_G: 0.025437 Loss_D_real: -0.030089 Loss_D_fake -0.006095
[788/5000][410/535][81190] Loss_D: -0.023730 Loss_G: 0.019787 Loss_D_real: -0.029557 Loss_D_fake -0.005827
[788/5000][415/535][81191] Loss_D: -0.024589 Loss_G: 0.009618 Loss_D_real: -0.018325 Loss_D_fake 0.006265
[788/5000][420/535][81192] Loss_D: -0.024812 Loss_G: 0.001104 Loss_D_real: -0.019938 Loss_D_fake 0.004874
[788/5000][425/535][81193] Loss_D: -0.024691 Loss_G: 0.013548 Loss_D_real: -0.020618 Loss_D_fake 0.004073
[788/5000][430/535][81194] Loss_D: -0.024364 Loss_G: 0.000213 Loss_D_real: -0.010077 Loss_D_fake 0.014287
[788/5000][435/535][81195] Loss_D: -0.024011 Loss_G: 0.005987 Loss_D_real: -0.011545 Loss_D_fake 0.012467
[788/5000][440/535][81196] Loss_D: -0.024290 Loss_G: 0.000591 Loss_D_real: -0.015404 Loss_D_fake 0.008886
[788/5000][445/535][81197] Loss_D: -0.023691 Loss_G: 0.020450 Loss_D_real: -0.013147 Loss_D_fake 0.010544
[788/5000][450/535][81198] Loss_D: -0.024856 Loss_G: 0.014858 Loss_D_real: -0.022360 Loss_D_fake 0.002496
[788/5000][455/535][81199] Loss_D: -0.023599 Loss_G: -0.000455 Loss_D_real: -0.010779 Loss_D_fake 0.012819
[788/5000][460/535][81200] Loss_D: -0.023384 Loss_G: 0.009854 Loss_D_real: -0.021883 Loss_D_fake 0.001502
[788/5000][465/535][81201] Loss_D: -0.024113 Loss_G: 0.010592 Loss_D_real: -0.015259 Loss_D_fake 0.008854
[788/5000][470/535][81202] Loss_D: -0.023242 Loss_G: 0.030464 Loss_D_real: -0.030773 Loss_D_fake -0.007531
[788/5000][475/535][81203] Loss_D: -0.023818 Loss_G: -0.000514 Loss_D_real: -0.014391 Loss_D_fake 0.009428
[788/5000][480/535][81204] Loss_D: -0.022725 Loss_G: 0.021750 Loss_D_real: -0.027342 Loss_D_fake -0.004616
[788/5000][485/535][81205] Loss_D: -0.023337 Loss_G: 0.016597 Loss_D_real: -0.014899 Loss_D_fake 0.008437
[788/5000][490/535][81206] Loss_D: -0.024047 Loss_G: 0.003795 Loss_D_real: -0.010794 Loss_D_fake 0.013253
[788/5000][495/535][81207] Loss_D: -0.023365 Loss_G: -0.004580 Loss_D_real: -0.009963 Loss_D_fake 0.013402
[788/5000][500/535][81208] Loss_D: -0.023197 Loss_G: 0.022310 Loss_D_real: -0.017712 Loss_D_fake 0.005484
[788/5000][505/535][81209] Loss_D: -0.023974 Loss_G: -0.007633 Loss_D_real: -0.004817 Loss_D_fake 0.019157
[788/5000][510/535][81210] Loss_D: -0.025438 Loss_G: 0.005319 Loss_D_real: -0.019963 Loss_D_fake 0.005475
[788/5000][515/535][81211] Loss_D: -0.022822 Loss_G: 0.033850 Loss_D_real: -0.030278 Loss_D_fake -0.007457
[788/5000][520/535][81212] Loss_D: -0.023759 Loss_G: -0.003237 Loss_D_real: -0.005035 Loss_D_fake 0.018724
[788/5000][525/535][81213] Loss_D: -0.023770 Loss_G: -0.011130 Loss_D_real: -0.002691 Loss_D_fake 0.021079
[788/5000][530/535][81214] Loss_D: -0.022830 Loss_G: 0.025936 Loss_D_real: -0.028197 Loss_D_fake -0.005367
[788/5000][535/535][81215] Loss_D: -0.021044 Loss_G: -0.023968 Loss_D_real: -0.011899 Loss_D_fake 0.009145
[789/5000][5/535][81216] Loss_D: -0.023959 Loss_G: 0.028564 Loss_D_real: -0.019480 Loss_D_fake 0.004479
[789/5000][10/535][81217] Loss_D: -0.022910 Loss_G: 0.012944 Loss_D_real: -0.020557 Loss_D_fake 0.002353
[789/5000][15/535][81218] Loss_D: -0.022290 Loss_G: 0.018432 Loss_D_real: -0.025872 Loss_D_fake -0.003582
[789/5000][20/535][81219] Loss_D: -0.022969 Loss_G: -0.006496 Loss_D_real: -0.002636 Loss_D_fake 0.020332
[789/5000][25/535][81220] Loss_D: -0.021671 Loss_G: -0.014666 Loss_D_real: -0.004159 Loss_D_fake 0.017512
[789/5000][30/535][81221] Loss_D: -0.022229 Loss_G: 0.000909 Loss_D_real: -0.024968 Loss_D_fake -0.002739
[789/5000][35/535][81222] Loss_D: -0.023384 Loss_G: 0.020456 Loss_D_real: -0.025535 Loss_D_fake -0.002150
[789/5000][40/535][81223] Loss_D: -0.022476 Loss_G: -0.003324 Loss_D_real: -0.012798 Loss_D_fake 0.009678
[789/5000][45/535][81224] Loss_D: -0.022678 Loss_G: 0.012874 Loss_D_real: -0.025257 Loss_D_fake -0.002579
[789/5000][50/535][81225] Loss_D: -0.024642 Loss_G: -0.008820 Loss_D_real: -0.010292 Loss_D_fake 0.014350
[789/5000][55/535][81226] Loss_D: -0.024117 Loss_G: 0.004670 Loss_D_real: -0.008389 Loss_D_fake 0.015728
[789/5000][60/535][81227] Loss_D: -0.025221 Loss_G: 0.006230 Loss_D_real: -0.015822 Loss_D_fake 0.009399
[789/5000][65/535][81228] Loss_D: -0.023899 Loss_G: -0.002440 Loss_D_real: -0.011303 Loss_D_fake 0.012596
[789/5000][70/535][81229] Loss_D: -0.024632 Loss_G: 0.005472 Loss_D_real: -0.020629 Loss_D_fake 0.004003
[789/5000][75/535][81230] Loss_D: -0.023381 Loss_G: 0.014553 Loss_D_real: -0.020927 Loss_D_fake 0.002454
[789/5000][80/535][81231] Loss_D: -0.023626 Loss_G: -0.008579 Loss_D_real: -0.006446 Loss_D_fake 0.017180
[789/5000][85/535][81232] Loss_D: -0.023042 Loss_G: 0.005630 Loss_D_real: -0.016361 Loss_D_fake 0.006681
[789/5000][90/535][81233] Loss_D: -0.023332 Loss_G: 0.008985 Loss_D_real: -0.025549 Loss_D_fake -0.002217
[789/5000][95/535][81234] Loss_D: -0.024814 Loss_G: 0.003361 Loss_D_real: -0.018271 Loss_D_fake 0.006544
[789/5000][100/535][81235] Loss_D: -0.021643 Loss_G: 0.029238 Loss_D_real: -0.040405 Loss_D_fake -0.018762
[789/5000][105/535][81236] Loss_D: -0.023766 Loss_G: 0.007334 Loss_D_real: -0.016118 Loss_D_fake 0.007649
[789/5000][110/535][81237] Loss_D: -0.022918 Loss_G: 0.007410 Loss_D_real: -0.017434 Loss_D_fake 0.005485
[789/5000][115/535][81238] Loss_D: -0.023738 Loss_G: 0.008912 Loss_D_real: -0.022881 Loss_D_fake 0.000856
[789/5000][120/535][81239] Loss_D: -0.024037 Loss_G: 0.014227 Loss_D_real: -0.033524 Loss_D_fake -0.009487
[789/5000][125/535][81240] Loss_D: -0.024978 Loss_G: 0.001322 Loss_D_real: -0.008217 Loss_D_fake 0.016761
[789/5000][130/535][81241] Loss_D: -0.023682 Loss_G: 0.002636 Loss_D_real: -0.009820 Loss_D_fake 0.013862
[789/5000][135/535][81242] Loss_D: -0.023034 Loss_G: 0.007110 Loss_D_real: -0.009131 Loss_D_fake 0.013903
[789/5000][140/535][81243] Loss_D: -0.024670 Loss_G: 0.017073 Loss_D_real: -0.014751 Loss_D_fake 0.009919
[789/5000][145/535][81244] Loss_D: -0.023507 Loss_G: 0.017454 Loss_D_real: -0.031284 Loss_D_fake -0.007777
[789/5000][150/535][81245] Loss_D: -0.023821 Loss_G: 0.000648 Loss_D_real: -0.005648 Loss_D_fake 0.018173
[789/5000][155/535][81246] Loss_D: -0.024102 Loss_G: 0.014587 Loss_D_real: -0.022831 Loss_D_fake 0.001271
[789/5000][160/535][81247] Loss_D: -0.023595 Loss_G: 0.015092 Loss_D_real: -0.024200 Loss_D_fake -0.000606
[789/5000][165/535][81248] Loss_D: -0.023884 Loss_G: -0.007638 Loss_D_real: -0.007728 Loss_D_fake 0.016156
[789/5000][170/535][81249] Loss_D: -0.023174 Loss_G: 0.009333 Loss_D_real: -0.022318 Loss_D_fake 0.000856
[789/5000][175/535][81250] Loss_D: -0.023980 Loss_G: 0.007839 Loss_D_real: -0.019528 Loss_D_fake 0.004452
[789/5000][180/535][81251] Loss_D: -0.022951 Loss_G: -0.007794 Loss_D_real: -0.006949 Loss_D_fake 0.016002
[789/5000][185/535][81252] Loss_D: -0.020853 Loss_G: 0.026683 Loss_D_real: -0.037153 Loss_D_fake -0.016300
[789/5000][190/535][81253] Loss_D: -0.023237 Loss_G: -0.003550 Loss_D_real: -0.008914 Loss_D_fake 0.014322
[789/5000][195/535][81254] Loss_D: -0.022576 Loss_G: 0.016460 Loss_D_real: -0.025207 Loss_D_fake -0.002631
[789/5000][200/535][81255] Loss_D: -0.022848 Loss_G: 0.010553 Loss_D_real: -0.023850 Loss_D_fake -0.001002
[789/5000][205/535][81256] Loss_D: -0.022043 Loss_G: 0.007330 Loss_D_real: -0.010483 Loss_D_fake 0.011561
[789/5000][210/535][81257] Loss_D: -0.023907 Loss_G: 0.008833 Loss_D_real: -0.015067 Loss_D_fake 0.008840
[789/5000][215/535][81258] Loss_D: -0.023984 Loss_G: 0.008259 Loss_D_real: -0.013900 Loss_D_fake 0.010084
[789/5000][220/535][81259] Loss_D: -0.024365 Loss_G: 0.006548 Loss_D_real: -0.014003 Loss_D_fake 0.010361
[789/5000][225/535][81260] Loss_D: -0.024138 Loss_G: -0.011708 Loss_D_real: -0.002664 Loss_D_fake 0.021474
[789/5000][230/535][81261] Loss_D: -0.025990 Loss_G: 0.016375 Loss_D_real: -0.011320 Loss_D_fake 0.014670
[789/5000][235/535][81262] Loss_D: -0.024460 Loss_G: 0.001308 Loss_D_real: -0.007652 Loss_D_fake 0.016807
[789/5000][240/535][81263] Loss_D: -0.023560 Loss_G: 0.001195 Loss_D_real: -0.009573 Loss_D_fake 0.013986
[789/5000][245/535][81264] Loss_D: -0.025166 Loss_G: 0.005928 Loss_D_real: -0.015734 Loss_D_fake 0.009431
[789/5000][250/535][81265] Loss_D: -0.023809 Loss_G: -0.006283 Loss_D_real: -0.008114 Loss_D_fake 0.015695
[789/5000][255/535][81266] Loss_D: -0.024901 Loss_G: -0.002761 Loss_D_real: -0.013352 Loss_D_fake 0.011549
[789/5000][260/535][81267] Loss_D: -0.023310 Loss_G: 0.009376 Loss_D_real: -0.016288 Loss_D_fake 0.007022
[789/5000][265/535][81268] Loss_D: -0.025554 Loss_G: 0.017408 Loss_D_real: -0.029194 Loss_D_fake -0.003640
[789/5000][270/535][81269] Loss_D: -0.023617 Loss_G: -0.012288 Loss_D_real: -0.003880 Loss_D_fake 0.019737
[789/5000][275/535][81270] Loss_D: -0.023620 Loss_G: 0.010456 Loss_D_real: -0.017807 Loss_D_fake 0.005812
[789/5000][280/535][81271] Loss_D: -0.023350 Loss_G: -0.005249 Loss_D_real: -0.012537 Loss_D_fake 0.010814
[789/5000][285/535][81272] Loss_D: -0.024378 Loss_G: 0.007602 Loss_D_real: -0.020631 Loss_D_fake 0.003747
[789/5000][290/535][81273] Loss_D: -0.024235 Loss_G: 0.030839 Loss_D_real: -0.025003 Loss_D_fake -0.000768
[789/5000][295/535][81274] Loss_D: -0.024882 Loss_G: 0.019122 Loss_D_real: -0.016990 Loss_D_fake 0.007892
[789/5000][300/535][81275] Loss_D: -0.023146 Loss_G: 0.004177 Loss_D_real: -0.012963 Loss_D_fake 0.010183
[789/5000][305/535][81276] Loss_D: -0.023180 Loss_G: -0.002221 Loss_D_real: -0.011735 Loss_D_fake 0.011445
[789/5000][310/535][81277] Loss_D: -0.022229 Loss_G: -0.006785 Loss_D_real: -0.012425 Loss_D_fake 0.009803
[789/5000][315/535][81278] Loss_D: -0.021957 Loss_G: 0.006960 Loss_D_real: -0.025105 Loss_D_fake -0.003147
[789/5000][320/535][81279] Loss_D: -0.023256 Loss_G: 0.016950 Loss_D_real: -0.029809 Loss_D_fake -0.006552
[789/5000][325/535][81280] Loss_D: -0.024112 Loss_G: 0.009654 Loss_D_real: -0.018305 Loss_D_fake 0.005807
[789/5000][330/535][81281] Loss_D: -0.023958 Loss_G: 0.023567 Loss_D_real: -0.026093 Loss_D_fake -0.002135
[789/5000][335/535][81282] Loss_D: -0.024892 Loss_G: 0.001143 Loss_D_real: -0.020548 Loss_D_fake 0.004344
[789/5000][340/535][81283] Loss_D: -0.022899 Loss_G: -0.007432 Loss_D_real: -0.017895 Loss_D_fake 0.005005
[789/5000][345/535][81284] Loss_D: -0.024895 Loss_G: 0.009908 Loss_D_real: -0.015839 Loss_D_fake 0.009056
[789/5000][350/535][81285] Loss_D: -0.024256 Loss_G: 0.020294 Loss_D_real: -0.023069 Loss_D_fake 0.001187
[789/5000][355/535][81286] Loss_D: -0.023223 Loss_G: 0.001147 Loss_D_real: -0.012449 Loss_D_fake 0.010773
[789/5000][360/535][81287] Loss_D: -0.023196 Loss_G: -0.007386 Loss_D_real: 0.007255 Loss_D_fake 0.030451
[789/5000][365/535][81288] Loss_D: -0.023405 Loss_G: 0.008225 Loss_D_real: -0.021115 Loss_D_fake 0.002290
[789/5000][370/535][81289] Loss_D: -0.024350 Loss_G: 0.027534 Loss_D_real: -0.021702 Loss_D_fake 0.002647
[789/5000][375/535][81290] Loss_D: -0.024039 Loss_G: -0.000632 Loss_D_real: -0.014783 Loss_D_fake 0.009256
[789/5000][380/535][81291] Loss_D: -0.023748 Loss_G: 0.000875 Loss_D_real: -0.016019 Loss_D_fake 0.007729
[789/5000][385/535][81292] Loss_D: -0.024266 Loss_G: 0.019603 Loss_D_real: -0.013951 Loss_D_fake 0.010314
[789/5000][390/535][81293] Loss_D: -0.024606 Loss_G: 0.018163 Loss_D_real: -0.028522 Loss_D_fake -0.003915
[789/5000][395/535][81294] Loss_D: -0.024361 Loss_G: -0.011212 Loss_D_real: 0.002371 Loss_D_fake 0.026733
[789/5000][400/535][81295] Loss_D: -0.023316 Loss_G: 0.019148 Loss_D_real: -0.024118 Loss_D_fake -0.000802
[789/5000][405/535][81296] Loss_D: -0.021919 Loss_G: -0.003816 Loss_D_real: -0.012827 Loss_D_fake 0.009092
[789/5000][410/535][81297] Loss_D: -0.022614 Loss_G: -0.008089 Loss_D_real: -0.007089 Loss_D_fake 0.015525
[789/5000][415/535][81298] Loss_D: -0.023001 Loss_G: 0.019178 Loss_D_real: -0.021253 Loss_D_fake 0.001748
[789/5000][420/535][81299] Loss_D: -0.023101 Loss_G: 0.011634 Loss_D_real: -0.012845 Loss_D_fake 0.010257
[789/5000][425/535][81300] Loss_D: -0.023459 Loss_G: 0.013924 Loss_D_real: -0.023051 Loss_D_fake 0.000408
[789/5000][430/535][81301] Loss_D: -0.024403 Loss_G: -0.007466 Loss_D_real: -0.016617 Loss_D_fake 0.007786
[789/5000][435/535][81302] Loss_D: -0.022695 Loss_G: 0.015034 Loss_D_real: -0.033060 Loss_D_fake -0.010364
[789/5000][440/535][81303] Loss_D: -0.023407 Loss_G: 0.015246 Loss_D_real: -0.012985 Loss_D_fake 0.010421
[789/5000][445/535][81304] Loss_D: -0.022536 Loss_G: 0.015533 Loss_D_real: -0.020564 Loss_D_fake 0.001972
[789/5000][450/535][81305] Loss_D: -0.022320 Loss_G: 0.020242 Loss_D_real: -0.038756 Loss_D_fake -0.016435
[789/5000][455/535][81306] Loss_D: -0.023769 Loss_G: 0.003737 Loss_D_real: -0.020121 Loss_D_fake 0.003647
[789/5000][460/535][81307] Loss_D: -0.021648 Loss_G: -0.007423 Loss_D_real: -0.004978 Loss_D_fake 0.016670
[789/5000][465/535][81308] Loss_D: -0.024289 Loss_G: 0.013724 Loss_D_real: -0.011569 Loss_D_fake 0.012721
[789/5000][470/535][81309] Loss_D: -0.025205 Loss_G: 0.004520 Loss_D_real: -0.019141 Loss_D_fake 0.006064
[789/5000][475/535][81310] Loss_D: -0.024404 Loss_G: 0.008470 Loss_D_real: -0.011503 Loss_D_fake 0.012901
[789/5000][480/535][81311] Loss_D: -0.023169 Loss_G: -0.002739 Loss_D_real: -0.004817 Loss_D_fake 0.018352
[789/5000][485/535][81312] Loss_D: -0.022737 Loss_G: 0.016252 Loss_D_real: -0.017762 Loss_D_fake 0.004975
[789/5000][490/535][81313] Loss_D: -0.024338 Loss_G: 0.000477 Loss_D_real: -0.014875 Loss_D_fake 0.009463
[789/5000][495/535][81314] Loss_D: -0.024992 Loss_G: 0.014281 Loss_D_real: -0.024529 Loss_D_fake 0.000464
[789/5000][500/535][81315] Loss_D: -0.023427 Loss_G: -0.009660 Loss_D_real: -0.005374 Loss_D_fake 0.018053
[789/5000][505/535][81316] Loss_D: -0.023006 Loss_G: 0.023356 Loss_D_real: -0.027625 Loss_D_fake -0.004619
[789/5000][510/535][81317] Loss_D: -0.023516 Loss_G: 0.008877 Loss_D_real: -0.018519 Loss_D_fake 0.004998
[789/5000][515/535][81318] Loss_D: -0.022844 Loss_G: 0.016388 Loss_D_real: -0.029079 Loss_D_fake -0.006236
[789/5000][520/535][81319] Loss_D: -0.023713 Loss_G: 0.037824 Loss_D_real: -0.026149 Loss_D_fake -0.002437
[789/5000][525/535][81320] Loss_D: -0.023078 Loss_G: 0.004817 Loss_D_real: -0.029350 Loss_D_fake -0.006272
[789/5000][530/535][81321] Loss_D: -0.022817 Loss_G: -0.010925 Loss_D_real: -0.006885 Loss_D_fake 0.015932
[789/5000][535/535][81322] Loss_D: -0.023685 Loss_G: 0.013815 Loss_D_real: -0.021344 Loss_D_fake 0.002341
[790/5000][5/535][81323] Loss_D: -0.023760 Loss_G: 0.022008 Loss_D_real: -0.026677 Loss_D_fake -0.002917
[790/5000][10/535][81324] Loss_D: -0.023759 Loss_G: -0.003407 Loss_D_real: -0.027152 Loss_D_fake -0.003393
[790/5000][15/535][81325] Loss_D: -0.024775 Loss_G: 0.005973 Loss_D_real: -0.009394 Loss_D_fake 0.015381
[790/5000][20/535][81326] Loss_D: -0.022509 Loss_G: -0.000789 Loss_D_real: -0.024169 Loss_D_fake -0.001661
[790/5000][25/535][81327] Loss_D: -0.023387 Loss_G: 0.015798 Loss_D_real: -0.023708 Loss_D_fake -0.000321
[790/5000][30/535][81328] Loss_D: -0.023970 Loss_G: 0.012420 Loss_D_real: -0.019823 Loss_D_fake 0.004147
[790/5000][35/535][81329] Loss_D: -0.023404 Loss_G: 0.002868 Loss_D_real: -0.022510 Loss_D_fake 0.000894
[790/5000][40/535][81330] Loss_D: -0.023894 Loss_G: 0.002962 Loss_D_real: 0.000481 Loss_D_fake 0.024375
[790/5000][45/535][81331] Loss_D: -0.025065 Loss_G: 0.003014 Loss_D_real: -0.024534 Loss_D_fake 0.000531
[790/5000][50/535][81332] Loss_D: -0.023977 Loss_G: 0.009930 Loss_D_real: -0.022058 Loss_D_fake 0.001918
[790/5000][55/535][81333] Loss_D: -0.025292 Loss_G: 0.002949 Loss_D_real: -0.001262 Loss_D_fake 0.024030
[790/5000][60/535][81334] Loss_D: -0.023856 Loss_G: 0.026784 Loss_D_real: -0.034789 Loss_D_fake -0.010932
[790/5000][65/535][81335] Loss_D: -0.024218 Loss_G: -0.004055 Loss_D_real: -0.014095 Loss_D_fake 0.010124
[790/5000][70/535][81336] Loss_D: -0.024295 Loss_G: -0.010636 Loss_D_real: -0.010434 Loss_D_fake 0.013861
[790/5000][75/535][81337] Loss_D: -0.024050 Loss_G: 0.005252 Loss_D_real: -0.017549 Loss_D_fake 0.006501
[790/5000][80/535][81338] Loss_D: -0.023779 Loss_G: 0.012880 Loss_D_real: -0.016295 Loss_D_fake 0.007484
[790/5000][85/535][81339] Loss_D: -0.023259 Loss_G: 0.004137 Loss_D_real: -0.015674 Loss_D_fake 0.007585
[790/5000][90/535][81340] Loss_D: -0.023589 Loss_G: 0.010855 Loss_D_real: -0.022548 Loss_D_fake 0.001041
[790/5000][95/535][81341] Loss_D: -0.023848 Loss_G: 0.013966 Loss_D_real: -0.019205 Loss_D_fake 0.004642
[790/5000][100/535][81342] Loss_D: -0.024590 Loss_G: 0.015923 Loss_D_real: -0.003937 Loss_D_fake 0.020653
[790/5000][105/535][81343] Loss_D: -0.023705 Loss_G: 0.015215 Loss_D_real: -0.030054 Loss_D_fake -0.006349
[790/5000][110/535][81344] Loss_D: -0.024361 Loss_G: -0.006087 Loss_D_real: -0.009078 Loss_D_fake 0.015283
[790/5000][115/535][81345] Loss_D: -0.024883 Loss_G: 0.010649 Loss_D_real: -0.024584 Loss_D_fake 0.000299
[790/5000][120/535][81346] Loss_D: -0.024462 Loss_G: 0.009503 Loss_D_real: -0.023807 Loss_D_fake 0.000655
[790/5000][125/535][81347] Loss_D: -0.024475 Loss_G: -0.001366 Loss_D_real: -0.009387 Loss_D_fake 0.015088
[790/5000][130/535][81348] Loss_D: -0.024141 Loss_G: 0.018059 Loss_D_real: -0.016143 Loss_D_fake 0.007997
[790/5000][135/535][81349] Loss_D: -0.022769 Loss_G: 0.022205 Loss_D_real: -0.028832 Loss_D_fake -0.006063
[790/5000][140/535][81350] Loss_D: -0.024549 Loss_G: 0.003034 Loss_D_real: -0.018478 Loss_D_fake 0.006072
[790/5000][145/535][81351] Loss_D: -0.023142 Loss_G: -0.005045 Loss_D_real: -0.008196 Loss_D_fake 0.014945
[790/5000][150/535][81352] Loss_D: -0.023734 Loss_G: 0.017954 Loss_D_real: -0.022378 Loss_D_fake 0.001357
[790/5000][155/535][81353] Loss_D: -0.023014 Loss_G: -0.008656 Loss_D_real: -0.000144 Loss_D_fake 0.022870
[790/5000][160/535][81354] Loss_D: -0.021994 Loss_G: 0.004566 Loss_D_real: -0.009736 Loss_D_fake 0.012258
[790/5000][165/535][81355] Loss_D: -0.023252 Loss_G: 0.018621 Loss_D_real: -0.026483 Loss_D_fake -0.003231
[790/5000][170/535][81356] Loss_D: -0.022364 Loss_G: -0.001277 Loss_D_real: -0.002877 Loss_D_fake 0.019487
[790/5000][175/535][81357] Loss_D: -0.023551 Loss_G: 0.011109 Loss_D_real: -0.024917 Loss_D_fake -0.001366
[790/5000][180/535][81358] Loss_D: -0.024520 Loss_G: 0.010722 Loss_D_real: -0.015339 Loss_D_fake 0.009181
[790/5000][185/535][81359] Loss_D: -0.023467 Loss_G: 0.023328 Loss_D_real: -0.026465 Loss_D_fake -0.002998
[790/5000][190/535][81360] Loss_D: -0.023811 Loss_G: -0.004022 Loss_D_real: -0.014480 Loss_D_fake 0.009331
[790/5000][195/535][81361] Loss_D: -0.023320 Loss_G: 0.020783 Loss_D_real: -0.036858 Loss_D_fake -0.013538
[790/5000][200/535][81362] Loss_D: -0.024756 Loss_G: 0.006877 Loss_D_real: -0.003748 Loss_D_fake 0.021008
[790/5000][205/535][81363] Loss_D: -0.022738 Loss_G: 0.001799 Loss_D_real: -0.016382 Loss_D_fake 0.006356
[790/5000][210/535][81364] Loss_D: -0.023922 Loss_G: 0.000762 Loss_D_real: -0.022660 Loss_D_fake 0.001262
[790/5000][215/535][81365] Loss_D: -0.023031 Loss_G: 0.024962 Loss_D_real: -0.012703 Loss_D_fake 0.010328
[790/5000][220/535][81366] Loss_D: -0.023321 Loss_G: -0.012077 Loss_D_real: -0.012556 Loss_D_fake 0.010765
[790/5000][225/535][81367] Loss_D: -0.022282 Loss_G: 0.009430 Loss_D_real: -0.017614 Loss_D_fake 0.004669
[790/5000][230/535][81368] Loss_D: -0.023317 Loss_G: 0.022244 Loss_D_real: -0.022486 Loss_D_fake 0.000831
[790/5000][235/535][81369] Loss_D: -0.023283 Loss_G: -0.011924 Loss_D_real: -0.001233 Loss_D_fake 0.022050
[790/5000][240/535][81370] Loss_D: -0.023141 Loss_G: 0.001154 Loss_D_real: -0.014024 Loss_D_fake 0.009117
[790/5000][245/535][81371] Loss_D: -0.023473 Loss_G: 0.015548 Loss_D_real: -0.019443 Loss_D_fake 0.004030
[790/5000][250/535][81372] Loss_D: -0.023397 Loss_G: 0.023605 Loss_D_real: -0.026604 Loss_D_fake -0.003207
[790/5000][255/535][81373] Loss_D: -0.023061 Loss_G: -0.000139 Loss_D_real: -0.004971 Loss_D_fake 0.018090
[790/5000][260/535][81374] Loss_D: -0.022651 Loss_G: -0.003618 Loss_D_real: -0.014677 Loss_D_fake 0.007974
[790/5000][265/535][81375] Loss_D: -0.023599 Loss_G: 0.006549 Loss_D_real: -0.017123 Loss_D_fake 0.006475
[790/5000][270/535][81376] Loss_D: -0.023559 Loss_G: 0.008592 Loss_D_real: -0.018665 Loss_D_fake 0.004893
[790/5000][275/535][81377] Loss_D: -0.023276 Loss_G: 0.012462 Loss_D_real: -0.018171 Loss_D_fake 0.005105
[790/5000][280/535][81378] Loss_D: -0.023309 Loss_G: 0.008361 Loss_D_real: -0.011196 Loss_D_fake 0.012113
[790/5000][285/535][81379] Loss_D: -0.025290 Loss_G: 0.014469 Loss_D_real: -0.013619 Loss_D_fake 0.011671
[790/5000][290/535][81380] Loss_D: -0.021493 Loss_G: 0.024708 Loss_D_real: -0.038908 Loss_D_fake -0.017416
[790/5000][295/535][81381] Loss_D: -0.024644 Loss_G: 0.013238 Loss_D_real: -0.014074 Loss_D_fake 0.010570
[790/5000][300/535][81382] Loss_D: -0.024850 Loss_G: -0.001178 Loss_D_real: -0.026526 Loss_D_fake -0.001675
[790/5000][305/535][81383] Loss_D: -0.024034 Loss_G: 0.006854 Loss_D_real: -0.009303 Loss_D_fake 0.014731
[790/5000][310/535][81384] Loss_D: -0.024810 Loss_G: 0.014005 Loss_D_real: -0.023534 Loss_D_fake 0.001276
[790/5000][315/535][81385] Loss_D: -0.023975 Loss_G: 0.013633 Loss_D_real: -0.027652 Loss_D_fake -0.003677
[790/5000][320/535][81386] Loss_D: -0.023738 Loss_G: -0.011050 Loss_D_real: -0.003442 Loss_D_fake 0.020296
[790/5000][325/535][81387] Loss_D: -0.024618 Loss_G: 0.011159 Loss_D_real: -0.036223 Loss_D_fake -0.011605
[790/5000][330/535][81388] Loss_D: -0.023874 Loss_G: 0.003989 Loss_D_real: -0.007513 Loss_D_fake 0.016361
[790/5000][335/535][81389] Loss_D: -0.024549 Loss_G: -0.005998 Loss_D_real: -0.012608 Loss_D_fake 0.011941
[790/5000][340/535][81390] Loss_D: -0.023914 Loss_G: 0.009881 Loss_D_real: -0.021568 Loss_D_fake 0.002346
[790/5000][345/535][81391] Loss_D: -0.025127 Loss_G: 0.026391 Loss_D_real: -0.031162 Loss_D_fake -0.006035
[790/5000][350/535][81392] Loss_D: -0.022276 Loss_G: 0.010523 Loss_D_real: -0.010762 Loss_D_fake 0.011514
[790/5000][355/535][81393] Loss_D: -0.023669 Loss_G: -0.012880 Loss_D_real: 0.001167 Loss_D_fake 0.024837
[790/5000][360/535][81394] Loss_D: -0.023440 Loss_G: 0.010812 Loss_D_real: -0.024158 Loss_D_fake -0.000718
[790/5000][365/535][81395] Loss_D: -0.024892 Loss_G: 0.003442 Loss_D_real: -0.007533 Loss_D_fake 0.017360
[790/5000][370/535][81396] Loss_D: -0.024024 Loss_G: 0.006471 Loss_D_real: -0.014489 Loss_D_fake 0.009535
[790/5000][375/535][81397] Loss_D: -0.023919 Loss_G: 0.007828 Loss_D_real: -0.013869 Loss_D_fake 0.010051
[790/5000][380/535][81398] Loss_D: -0.024507 Loss_G: 0.007165 Loss_D_real: -0.025073 Loss_D_fake -0.000566
[790/5000][385/535][81399] Loss_D: -0.024278 Loss_G: 0.013916 Loss_D_real: -0.028181 Loss_D_fake -0.003902
[790/5000][390/535][81400] Loss_D: -0.024118 Loss_G: 0.000094 Loss_D_real: -0.017237 Loss_D_fake 0.006881
[790/5000][395/535][81401] Loss_D: -0.024609 Loss_G: 0.033253 Loss_D_real: -0.027872 Loss_D_fake -0.003264
[790/5000][400/535][81402] Loss_D: -0.021863 Loss_G: 0.012557 Loss_D_real: -0.024468 Loss_D_fake -0.002605
[790/5000][405/535][81403] Loss_D: -0.023586 Loss_G: 0.008764 Loss_D_real: -0.021508 Loss_D_fake 0.002078
[790/5000][410/535][81404] Loss_D: -0.025655 Loss_G: 0.004640 Loss_D_real: -0.019371 Loss_D_fake 0.006285
[790/5000][415/535][81405] Loss_D: -0.022373 Loss_G: 0.014008 Loss_D_real: -0.027562 Loss_D_fake -0.005190
[790/5000][420/535][81406] Loss_D: -0.023781 Loss_G: 0.007899 Loss_D_real: -0.028261 Loss_D_fake -0.004480
[790/5000][425/535][81407] Loss_D: -0.023585 Loss_G: 0.001319 Loss_D_real: -0.019278 Loss_D_fake 0.004306
[790/5000][430/535][81408] Loss_D: -0.024373 Loss_G: 0.008888 Loss_D_real: -0.020764 Loss_D_fake 0.003609
[790/5000][435/535][81409] Loss_D: -0.024005 Loss_G: 0.008092 Loss_D_real: -0.015009 Loss_D_fake 0.008996
[790/5000][440/535][81410] Loss_D: -0.023408 Loss_G: 0.001414 Loss_D_real: -0.013930 Loss_D_fake 0.009478
[790/5000][445/535][81411] Loss_D: -0.024473 Loss_G: 0.016348 Loss_D_real: -0.032741 Loss_D_fake -0.008268
[790/5000][450/535][81412] Loss_D: -0.024252 Loss_G: 0.018925 Loss_D_real: -0.021944 Loss_D_fake 0.002309
[790/5000][455/535][81413] Loss_D: -0.023194 Loss_G: 0.024840 Loss_D_real: -0.028451 Loss_D_fake -0.005257
[790/5000][460/535][81414] Loss_D: -0.022875 Loss_G: 0.023632 Loss_D_real: -0.018506 Loss_D_fake 0.004369
[790/5000][465/535][81415] Loss_D: -0.022967 Loss_G: 0.003430 Loss_D_real: -0.011346 Loss_D_fake 0.011621
[790/5000][470/535][81416] Loss_D: -0.022720 Loss_G: 0.020486 Loss_D_real: -0.029534 Loss_D_fake -0.006814
[790/5000][475/535][81417] Loss_D: -0.023395 Loss_G: 0.002674 Loss_D_real: -0.008060 Loss_D_fake 0.015336
[790/5000][480/535][81418] Loss_D: -0.023047 Loss_G: -0.000379 Loss_D_real: -0.019206 Loss_D_fake 0.003842
[790/5000][485/535][81419] Loss_D: -0.022476 Loss_G: 0.030726 Loss_D_real: -0.031086 Loss_D_fake -0.008610
[790/5000][490/535][81420] Loss_D: -0.024028 Loss_G: 0.001785 Loss_D_real: -0.021294 Loss_D_fake 0.002734
[790/5000][495/535][81421] Loss_D: -0.023868 Loss_G: 0.006867 Loss_D_real: -0.009969 Loss_D_fake 0.013899
[790/5000][500/535][81422] Loss_D: -0.023564 Loss_G: 0.020614 Loss_D_real: -0.018645 Loss_D_fake 0.004919
[790/5000][505/535][81423] Loss_D: -0.022781 Loss_G: -0.002462 Loss_D_real: -0.005532 Loss_D_fake 0.017249
[790/5000][510/535][81424] Loss_D: -0.020827 Loss_G: -0.005529 Loss_D_real: -0.009248 Loss_D_fake 0.011579
[790/5000][515/535][81425] Loss_D: -0.021981 Loss_G: 0.001547 Loss_D_real: -0.009516 Loss_D_fake 0.012465
[790/5000][520/535][81426] Loss_D: -0.022912 Loss_G: 0.016462 Loss_D_real: -0.022423 Loss_D_fake 0.000488
[790/5000][525/535][81427] Loss_D: -0.022744 Loss_G: -0.001404 Loss_D_real: -0.017776 Loss_D_fake 0.004968
[790/5000][530/535][81428] Loss_D: -0.024264 Loss_G: 0.011990 Loss_D_real: -0.023344 Loss_D_fake 0.000920
[790/5000][535/535][81429] Loss_D: -0.023287 Loss_G: -0.001129 Loss_D_real: -0.016312 Loss_D_fake 0.006975
[791/5000][5/535][81430] Loss_D: -0.023093 Loss_G: 0.019093 Loss_D_real: -0.021644 Loss_D_fake 0.001449
[791/5000][10/535][81431] Loss_D: -0.023138 Loss_G: -0.008107 Loss_D_real: 0.000350 Loss_D_fake 0.023488
[791/5000][15/535][81432] Loss_D: -0.024568 Loss_G: 0.017105 Loss_D_real: -0.021834 Loss_D_fake 0.002733
[791/5000][20/535][81433] Loss_D: -0.024583 Loss_G: -0.004037 Loss_D_real: -0.005196 Loss_D_fake 0.019387
[791/5000][25/535][81434] Loss_D: -0.022118 Loss_G: 0.010674 Loss_D_real: -0.022079 Loss_D_fake 0.000039
[791/5000][30/535][81435] Loss_D: -0.025044 Loss_G: 0.009996 Loss_D_real: -0.010370 Loss_D_fake 0.014673
[791/5000][35/535][81436] Loss_D: -0.024562 Loss_G: 0.017305 Loss_D_real: -0.014964 Loss_D_fake 0.009598
[791/5000][40/535][81437] Loss_D: -0.025314 Loss_G: 0.006620 Loss_D_real: -0.012947 Loss_D_fake 0.012367
[791/5000][45/535][81438] Loss_D: -0.024455 Loss_G: 0.026508 Loss_D_real: -0.025597 Loss_D_fake -0.001142
[791/5000][50/535][81439] Loss_D: -0.026145 Loss_G: 0.009931 Loss_D_real: -0.015060 Loss_D_fake 0.011086
[791/5000][55/535][81440] Loss_D: -0.024149 Loss_G: -0.013130 Loss_D_real: -0.001340 Loss_D_fake 0.022808
[791/5000][60/535][81441] Loss_D: -0.023683 Loss_G: 0.005098 Loss_D_real: -0.025757 Loss_D_fake -0.002073
[791/5000][65/535][81442] Loss_D: -0.024082 Loss_G: 0.008134 Loss_D_real: -0.020834 Loss_D_fake 0.003248
[791/5000][70/535][81443] Loss_D: -0.024342 Loss_G: 0.014188 Loss_D_real: -0.021316 Loss_D_fake 0.003025
[791/5000][75/535][81444] Loss_D: -0.024840 Loss_G: 0.007487 Loss_D_real: -0.008438 Loss_D_fake 0.016403
[791/5000][80/535][81445] Loss_D: -0.023751 Loss_G: -0.014774 Loss_D_real: -0.010395 Loss_D_fake 0.013356
[791/5000][85/535][81446] Loss_D: -0.023333 Loss_G: 0.012480 Loss_D_real: -0.031312 Loss_D_fake -0.007978
[791/5000][90/535][81447] Loss_D: -0.025069 Loss_G: 0.014249 Loss_D_real: -0.018862 Loss_D_fake 0.006207
[791/5000][95/535][81448] Loss_D: -0.023958 Loss_G: 0.007885 Loss_D_real: -0.017192 Loss_D_fake 0.006767
[791/5000][100/535][81449] Loss_D: -0.022742 Loss_G: 0.003260 Loss_D_real: -0.021299 Loss_D_fake 0.001443
[791/5000][105/535][81450] Loss_D: -0.023753 Loss_G: 0.016440 Loss_D_real: -0.024532 Loss_D_fake -0.000779
[791/5000][110/535][81451] Loss_D: -0.024939 Loss_G: 0.001995 Loss_D_real: -0.026394 Loss_D_fake -0.001456
[791/5000][115/535][81452] Loss_D: -0.024356 Loss_G: 0.015510 Loss_D_real: -0.025219 Loss_D_fake -0.000862
[791/5000][120/535][81453] Loss_D: -0.024014 Loss_G: 0.010101 Loss_D_real: -0.019868 Loss_D_fake 0.004146
[791/5000][125/535][81454] Loss_D: -0.023156 Loss_G: -0.005965 Loss_D_real: -0.009207 Loss_D_fake 0.013949
[791/5000][130/535][81455] Loss_D: -0.024539 Loss_G: 0.001902 Loss_D_real: -0.015119 Loss_D_fake 0.009420
[791/5000][135/535][81456] Loss_D: -0.025334 Loss_G: 0.024644 Loss_D_real: -0.022982 Loss_D_fake 0.002352
[791/5000][140/535][81457] Loss_D: -0.025095 Loss_G: 0.013808 Loss_D_real: -0.017366 Loss_D_fake 0.007729
[791/5000][145/535][81458] Loss_D: -0.024703 Loss_G: 0.001698 Loss_D_real: -0.014359 Loss_D_fake 0.010344
[791/5000][150/535][81459] Loss_D: -0.023157 Loss_G: 0.023679 Loss_D_real: -0.034376 Loss_D_fake -0.011220
[791/5000][155/535][81460] Loss_D: -0.024008 Loss_G: -0.002996 Loss_D_real: -0.012983 Loss_D_fake 0.011026
[791/5000][160/535][81461] Loss_D: -0.023299 Loss_G: 0.008301 Loss_D_real: -0.013045 Loss_D_fake 0.010254
[791/5000][165/535][81462] Loss_D: -0.023682 Loss_G: 0.010794 Loss_D_real: -0.015596 Loss_D_fake 0.008086
[791/5000][170/535][81463] Loss_D: -0.023964 Loss_G: 0.021653 Loss_D_real: -0.028993 Loss_D_fake -0.005029
[791/5000][175/535][81464] Loss_D: -0.023867 Loss_G: 0.011978 Loss_D_real: -0.019391 Loss_D_fake 0.004476
[791/5000][180/535][81465] Loss_D: -0.023766 Loss_G: -0.005761 Loss_D_real: -0.012210 Loss_D_fake 0.011556
[791/5000][185/535][81466] Loss_D: -0.022944 Loss_G: 0.017203 Loss_D_real: -0.022124 Loss_D_fake 0.000820
[791/5000][190/535][81467] Loss_D: -0.023766 Loss_G: 0.000161 Loss_D_real: -0.020860 Loss_D_fake 0.002906
[791/5000][195/535][81468] Loss_D: -0.023625 Loss_G: -0.010348 Loss_D_real: -0.008393 Loss_D_fake 0.015232
[791/5000][200/535][81469] Loss_D: -0.022339 Loss_G: 0.017693 Loss_D_real: -0.022757 Loss_D_fake -0.000418
[791/5000][205/535][81470] Loss_D: -0.023102 Loss_G: 0.019514 Loss_D_real: -0.024295 Loss_D_fake -0.001192
[791/5000][210/535][81471] Loss_D: -0.023215 Loss_G: 0.032456 Loss_D_real: -0.034835 Loss_D_fake -0.011620
[791/5000][215/535][81472] Loss_D: -0.023479 Loss_G: -0.014047 Loss_D_real: -0.004320 Loss_D_fake 0.019159
[791/5000][220/535][81473] Loss_D: -0.021623 Loss_G: 0.024132 Loss_D_real: -0.025758 Loss_D_fake -0.004135
[791/5000][225/535][81474] Loss_D: -0.023349 Loss_G: 0.013164 Loss_D_real: -0.023631 Loss_D_fake -0.000282
[791/5000][230/535][81475] Loss_D: -0.023052 Loss_G: -0.002347 Loss_D_real: -0.011989 Loss_D_fake 0.011063
[791/5000][235/535][81476] Loss_D: -0.023353 Loss_G: 0.009457 Loss_D_real: -0.026942 Loss_D_fake -0.003588
[791/5000][240/535][81477] Loss_D: -0.024046 Loss_G: 0.012236 Loss_D_real: -0.006040 Loss_D_fake 0.018007
[791/5000][245/535][81478] Loss_D: -0.023891 Loss_G: -0.003583 Loss_D_real: -0.011163 Loss_D_fake 0.012728
[791/5000][250/535][81479] Loss_D: -0.023708 Loss_G: 0.018844 Loss_D_real: -0.033986 Loss_D_fake -0.010279
[791/5000][255/535][81480] Loss_D: -0.023531 Loss_G: -0.000841 Loss_D_real: -0.010173 Loss_D_fake 0.013358
[791/5000][260/535][81481] Loss_D: -0.022967 Loss_G: 0.015700 Loss_D_real: -0.023437 Loss_D_fake -0.000470
[791/5000][265/535][81482] Loss_D: -0.023203 Loss_G: 0.004053 Loss_D_real: -0.014553 Loss_D_fake 0.008649
[791/5000][270/535][81483] Loss_D: -0.023335 Loss_G: 0.020046 Loss_D_real: -0.032559 Loss_D_fake -0.009224
[791/5000][275/535][81484] Loss_D: -0.022454 Loss_G: 0.028862 Loss_D_real: -0.037746 Loss_D_fake -0.015291
[791/5000][280/535][81485] Loss_D: -0.023768 Loss_G: -0.003938 Loss_D_real: -0.007667 Loss_D_fake 0.016101
[791/5000][285/535][81486] Loss_D: -0.022678 Loss_G: -0.006860 Loss_D_real: -0.008420 Loss_D_fake 0.014258
[791/5000][290/535][81487] Loss_D: -0.021970 Loss_G: -0.002894 Loss_D_real: -0.013157 Loss_D_fake 0.008813
[791/5000][295/535][81488] Loss_D: -0.023536 Loss_G: -0.001890 Loss_D_real: -0.016207 Loss_D_fake 0.007329
[791/5000][300/535][81489] Loss_D: -0.024336 Loss_G: 0.012540 Loss_D_real: -0.019427 Loss_D_fake 0.004909
[791/5000][305/535][81490] Loss_D: -0.022836 Loss_G: 0.007329 Loss_D_real: -0.032030 Loss_D_fake -0.009194
[791/5000][310/535][81491] Loss_D: -0.024636 Loss_G: 0.015848 Loss_D_real: -0.011380 Loss_D_fake 0.013257
[791/5000][315/535][81492] Loss_D: -0.023724 Loss_G: -0.011604 Loss_D_real: -0.009247 Loss_D_fake 0.014477
[791/5000][320/535][81493] Loss_D: -0.023427 Loss_G: 0.009139 Loss_D_real: -0.019823 Loss_D_fake 0.003605
[791/5000][325/535][81494] Loss_D: -0.024052 Loss_G: 0.011903 Loss_D_real: -0.017624 Loss_D_fake 0.006428
[791/5000][330/535][81495] Loss_D: -0.023001 Loss_G: 0.009496 Loss_D_real: -0.016572 Loss_D_fake 0.006430
[791/5000][335/535][81496] Loss_D: -0.023184 Loss_G: 0.010429 Loss_D_real: -0.026764 Loss_D_fake -0.003581
[791/5000][340/535][81497] Loss_D: -0.023962 Loss_G: -0.005155 Loss_D_real: -0.010689 Loss_D_fake 0.013273
[791/5000][345/535][81498] Loss_D: -0.024115 Loss_G: -0.013419 Loss_D_real: -0.007670 Loss_D_fake 0.016445
[791/5000][350/535][81499] Loss_D: -0.022916 Loss_G: -0.004386 Loss_D_real: -0.009599 Loss_D_fake 0.013317
[791/5000][355/535][81500] Loss_D: -0.022847 Loss_G: 0.010091 Loss_D_real: -0.020012 Loss_D_fake 0.002836
[791/5000][455/535][81501] Loss_D: -0.025835 Loss_G: -0.003772 Loss_D_real: -0.017159 Loss_D_fake 0.008676
[791/5000][460/535][81502] Loss_D: -0.022495 Loss_G: 0.019878 Loss_D_real: -0.021728 Loss_D_fake 0.000767
[791/5000][465/535][81503] Loss_D: -0.023094 Loss_G: 0.018047 Loss_D_real: -0.021494 Loss_D_fake 0.001601
[791/5000][470/535][81504] Loss_D: -0.023268 Loss_G: -0.003829 Loss_D_real: -0.011624 Loss_D_fake 0.011644
[791/5000][475/535][81505] Loss_D: -0.022970 Loss_G: 0.013654 Loss_D_real: -0.010003 Loss_D_fake 0.012967
[791/5000][480/535][81506] Loss_D: -0.022759 Loss_G: -0.000564 Loss_D_real: -0.019678 Loss_D_fake 0.003081
[791/5000][485/535][81507] Loss_D: -0.024208 Loss_G: 0.011956 Loss_D_real: -0.025574 Loss_D_fake -0.001365
[791/5000][490/535][81508] Loss_D: -0.023859 Loss_G: 0.011007 Loss_D_real: -0.009530 Loss_D_fake 0.014329
[791/5000][495/535][81509] Loss_D: -0.021824 Loss_G: -0.019422 Loss_D_real: 0.001241 Loss_D_fake 0.023065
[791/5000][500/535][81510] Loss_D: -0.022836 Loss_G: 0.000087 Loss_D_real: -0.008127 Loss_D_fake 0.014709
[791/5000][505/535][81511] Loss_D: -0.022756 Loss_G: -0.012643 Loss_D_real: -0.005300 Loss_D_fake 0.017457
[791/5000][510/535][81512] Loss_D: -0.023354 Loss_G: -0.001167 Loss_D_real: -0.011338 Loss_D_fake 0.012016
[791/5000][515/535][81513] Loss_D: -0.023974 Loss_G: 0.030765 Loss_D_real: -0.030659 Loss_D_fake -0.006685
[791/5000][520/535][81514] Loss_D: -0.024195 Loss_G: 0.017679 Loss_D_real: -0.015964 Loss_D_fake 0.008231
[791/5000][525/535][81515] Loss_D: -0.023366 Loss_G: 0.020829 Loss_D_real: -0.035203 Loss_D_fake -0.011836
[791/5000][530/535][81516] Loss_D: -0.023787 Loss_G: 0.019826 Loss_D_real: -0.039112 Loss_D_fake -0.015325
[791/5000][535/535][81517] Loss_D: -0.023339 Loss_G: 0.005006 Loss_D_real: -0.013434 Loss_D_fake 0.009904
[792/5000][5/535][81518] Loss_D: -0.024151 Loss_G: -0.007772 Loss_D_real: -0.013000 Loss_D_fake 0.011150
[792/5000][10/535][81519] Loss_D: -0.022541 Loss_G: 0.009090 Loss_D_real: -0.020807 Loss_D_fake 0.001734
[792/5000][15/535][81520] Loss_D: -0.023241 Loss_G: -0.004928 Loss_D_real: -0.005818 Loss_D_fake 0.017423
[792/5000][20/535][81521] Loss_D: -0.022439 Loss_G: 0.022444 Loss_D_real: -0.027007 Loss_D_fake -0.004568
[792/5000][25/535][81522] Loss_D: -0.022637 Loss_G: -0.009868 Loss_D_real: 0.000645 Loss_D_fake 0.023283
[792/5000][30/535][81523] Loss_D: -0.023808 Loss_G: 0.013543 Loss_D_real: -0.018086 Loss_D_fake 0.005723
[792/5000][35/535][81524] Loss_D: -0.023357 Loss_G: 0.029918 Loss_D_real: -0.031430 Loss_D_fake -0.008073
[792/5000][40/535][81525] Loss_D: -0.024434 Loss_G: 0.011517 Loss_D_real: -0.006315 Loss_D_fake 0.018119
[792/5000][45/535][81526] Loss_D: -0.024247 Loss_G: -0.002899 Loss_D_real: -0.014136 Loss_D_fake 0.010111
[792/5000][50/535][81527] Loss_D: -0.023139 Loss_G: -0.001303 Loss_D_real: -0.013686 Loss_D_fake 0.009453
[792/5000][55/535][81528] Loss_D: -0.023765 Loss_G: -0.009215 Loss_D_real: -0.008809 Loss_D_fake 0.014956
[792/5000][60/535][81529] Loss_D: -0.024621 Loss_G: 0.010980 Loss_D_real: -0.018468 Loss_D_fake 0.006153
[792/5000][65/535][81530] Loss_D: -0.023965 Loss_G: 0.007954 Loss_D_real: -0.017573 Loss_D_fake 0.006392
[792/5000][70/535][81531] Loss_D: -0.024642 Loss_G: 0.011723 Loss_D_real: -0.021383 Loss_D_fake 0.003259
[792/5000][75/535][81532] Loss_D: -0.023800 Loss_G: 0.016962 Loss_D_real: -0.023118 Loss_D_fake 0.000682
[792/5000][80/535][81533] Loss_D: -0.023849 Loss_G: -0.004594 Loss_D_real: -0.007142 Loss_D_fake 0.016707
[792/5000][85/535][81534] Loss_D: -0.023894 Loss_G: 0.000096 Loss_D_real: -0.024731 Loss_D_fake -0.000837
[792/5000][90/535][81535] Loss_D: -0.023188 Loss_G: 0.028619 Loss_D_real: -0.040608 Loss_D_fake -0.017421
[792/5000][95/535][81536] Loss_D: -0.022201 Loss_G: -0.000995 Loss_D_real: -0.001898 Loss_D_fake 0.020303
[792/5000][100/535][81537] Loss_D: -0.021649 Loss_G: 0.016162 Loss_D_real: -0.027666 Loss_D_fake -0.006017
[792/5000][105/535][81538] Loss_D: -0.024541 Loss_G: -0.009692 Loss_D_real: -0.017221 Loss_D_fake 0.007320
[792/5000][110/535][81539] Loss_D: -0.022017 Loss_G: 0.009708 Loss_D_real: -0.017131 Loss_D_fake 0.004886
[792/5000][115/535][81540] Loss_D: -0.023965 Loss_G: 0.023734 Loss_D_real: -0.019440 Loss_D_fake 0.004525
[792/5000][120/535][81541] Loss_D: -0.024086 Loss_G: -0.008913 Loss_D_real: -0.004732 Loss_D_fake 0.019353
[792/5000][125/535][81542] Loss_D: -0.022616 Loss_G: 0.025401 Loss_D_real: -0.035379 Loss_D_fake -0.012763
[792/5000][130/535][81543] Loss_D: -0.022003 Loss_G: 0.019905 Loss_D_real: -0.031888 Loss_D_fake -0.009884
[792/5000][135/535][81544] Loss_D: -0.024314 Loss_G: 0.011970 Loss_D_real: -0.018369 Loss_D_fake 0.005945
[792/5000][140/535][81545] Loss_D: -0.023216 Loss_G: 0.015678 Loss_D_real: -0.031214 Loss_D_fake -0.007998
[792/5000][145/535][81546] Loss_D: -0.023893 Loss_G: 0.005734 Loss_D_real: -0.019149 Loss_D_fake 0.004744
[792/5000][150/535][81547] Loss_D: -0.024699 Loss_G: 0.003235 Loss_D_real: -0.012252 Loss_D_fake 0.012447
[792/5000][155/535][81548] Loss_D: -0.024562 Loss_G: 0.013804 Loss_D_real: -0.017123 Loss_D_fake 0.007439
[792/5000][160/535][81549] Loss_D: -0.024688 Loss_G: 0.003436 Loss_D_real: -0.015054 Loss_D_fake 0.009634
[792/5000][165/535][81550] Loss_D: -0.024257 Loss_G: 0.011155 Loss_D_real: -0.018995 Loss_D_fake 0.005261
[792/5000][170/535][81551] Loss_D: -0.024072 Loss_G: 0.007735 Loss_D_real: -0.015746 Loss_D_fake 0.008326
[792/5000][175/535][81552] Loss_D: -0.022916 Loss_G: 0.019834 Loss_D_real: -0.030951 Loss_D_fake -0.008036
[792/5000][180/535][81553] Loss_D: -0.024815 Loss_G: -0.001577 Loss_D_real: -0.011653 Loss_D_fake 0.013162
[792/5000][185/535][81554] Loss_D: -0.023842 Loss_G: 0.008063 Loss_D_real: -0.018444 Loss_D_fake 0.005399
[792/5000][190/535][81555] Loss_D: -0.023168 Loss_G: -0.004665 Loss_D_real: -0.015916 Loss_D_fake 0.007252
[792/5000][195/535][81556] Loss_D: -0.023558 Loss_G: -0.004247 Loss_D_real: -0.011770 Loss_D_fake 0.011788
[792/5000][200/535][81557] Loss_D: -0.023831 Loss_G: -0.004405 Loss_D_real: -0.001522 Loss_D_fake 0.022309
[792/5000][205/535][81558] Loss_D: -0.023599 Loss_G: -0.006583 Loss_D_real: -0.011475 Loss_D_fake 0.012123
[792/5000][210/535][81559] Loss_D: -0.021634 Loss_G: 0.001876 Loss_D_real: -0.032378 Loss_D_fake -0.010743
[792/5000][215/535][81560] Loss_D: -0.023738 Loss_G: 0.012201 Loss_D_real: -0.017086 Loss_D_fake 0.006652
[792/5000][220/535][81561] Loss_D: -0.023523 Loss_G: -0.003962 Loss_D_real: -0.024052 Loss_D_fake -0.000529
[792/5000][225/535][81562] Loss_D: -0.023270 Loss_G: 0.007598 Loss_D_real: -0.016859 Loss_D_fake 0.006411
[792/5000][230/535][81563] Loss_D: -0.026104 Loss_G: 0.011560 Loss_D_real: -0.011571 Loss_D_fake 0.014533
[792/5000][235/535][81564] Loss_D: -0.025189 Loss_G: 0.005403 Loss_D_real: -0.017632 Loss_D_fake 0.007557
[792/5000][240/535][81565] Loss_D: -0.023648 Loss_G: 0.008799 Loss_D_real: -0.014886 Loss_D_fake 0.008762
[792/5000][245/535][81566] Loss_D: -0.022571 Loss_G: -0.011637 Loss_D_real: -0.006554 Loss_D_fake 0.016017
[792/5000][250/535][81567] Loss_D: -0.022989 Loss_G: 0.008918 Loss_D_real: -0.023812 Loss_D_fake -0.000823
[792/5000][255/535][81568] Loss_D: -0.025176 Loss_G: -0.000872 Loss_D_real: -0.011154 Loss_D_fake 0.014022
[792/5000][260/535][81569] Loss_D: -0.024141 Loss_G: 0.021111 Loss_D_real: -0.034136 Loss_D_fake -0.009995
[792/5000][265/535][81570] Loss_D: -0.025036 Loss_G: 0.002281 Loss_D_real: -0.015998 Loss_D_fake 0.009038
[792/5000][270/535][81571] Loss_D: -0.024175 Loss_G: 0.007328 Loss_D_real: -0.014739 Loss_D_fake 0.009437
[792/5000][275/535][81572] Loss_D: -0.024468 Loss_G: 0.005882 Loss_D_real: -0.011702 Loss_D_fake 0.012767
[792/5000][280/535][81573] Loss_D: -0.024438 Loss_G: 0.006801 Loss_D_real: -0.014569 Loss_D_fake 0.009869
[792/5000][285/535][81574] Loss_D: -0.023499 Loss_G: 0.021904 Loss_D_real: -0.026410 Loss_D_fake -0.002911
[792/5000][290/535][81575] Loss_D: -0.024297 Loss_G: -0.000903 Loss_D_real: -0.010745 Loss_D_fake 0.013552
[792/5000][295/535][81576] Loss_D: -0.023685 Loss_G: -0.004986 Loss_D_real: -0.019371 Loss_D_fake 0.004314
[792/5000][300/535][81577] Loss_D: -0.022449 Loss_G: -0.006642 Loss_D_real: -0.010488 Loss_D_fake 0.011961
[792/5000][305/535][81578] Loss_D: -0.023694 Loss_G: 0.009604 Loss_D_real: -0.021808 Loss_D_fake 0.001886
[792/5000][310/535][81579] Loss_D: -0.023168 Loss_G: 0.013884 Loss_D_real: -0.024641 Loss_D_fake -0.001472
[792/5000][315/535][81580] Loss_D: -0.023374 Loss_G: -0.006481 Loss_D_real: -0.009652 Loss_D_fake 0.013722
[792/5000][320/535][81581] Loss_D: -0.023711 Loss_G: 0.004625 Loss_D_real: -0.012955 Loss_D_fake 0.010756
[792/5000][325/535][81582] Loss_D: -0.023552 Loss_G: 0.017486 Loss_D_real: -0.029084 Loss_D_fake -0.005533
[792/5000][330/535][81583] Loss_D: -0.023262 Loss_G: 0.006165 Loss_D_real: -0.020828 Loss_D_fake 0.002434
[792/5000][335/535][81584] Loss_D: -0.023139 Loss_G: 0.015917 Loss_D_real: -0.006499 Loss_D_fake 0.016639
[792/5000][340/535][81585] Loss_D: -0.022309 Loss_G: 0.007356 Loss_D_real: -0.026184 Loss_D_fake -0.003875
[792/5000][345/535][81586] Loss_D: -0.023958 Loss_G: 0.023771 Loss_D_real: -0.031003 Loss_D_fake -0.007045
[792/5000][350/535][81587] Loss_D: -0.023614 Loss_G: 0.015451 Loss_D_real: -0.022576 Loss_D_fake 0.001038
[792/5000][355/535][81588] Loss_D: -0.024559 Loss_G: 0.008424 Loss_D_real: -0.031049 Loss_D_fake -0.006490
[792/5000][360/535][81589] Loss_D: -0.023931 Loss_G: -0.003836 Loss_D_real: -0.013458 Loss_D_fake 0.010473
[792/5000][365/535][81590] Loss_D: -0.023546 Loss_G: 0.024205 Loss_D_real: -0.019846 Loss_D_fake 0.003701
[792/5000][370/535][81591] Loss_D: -0.022525 Loss_G: -0.016446 Loss_D_real: 0.000802 Loss_D_fake 0.023327
[792/5000][375/535][81592] Loss_D: -0.023789 Loss_G: 0.019152 Loss_D_real: -0.023858 Loss_D_fake -0.000069
[792/5000][380/535][81593] Loss_D: -0.023633 Loss_G: 0.010670 Loss_D_real: -0.018740 Loss_D_fake 0.004892
[792/5000][385/535][81594] Loss_D: -0.023958 Loss_G: 0.006056 Loss_D_real: -0.025886 Loss_D_fake -0.001927
[792/5000][390/535][81595] Loss_D: -0.023815 Loss_G: 0.010465 Loss_D_real: -0.020479 Loss_D_fake 0.003336
[792/5000][395/535][81596] Loss_D: -0.024402 Loss_G: -0.005853 Loss_D_real: -0.013829 Loss_D_fake 0.010572
[792/5000][400/535][81597] Loss_D: -0.023021 Loss_G: 0.015249 Loss_D_real: -0.026745 Loss_D_fake -0.003724
[792/5000][405/535][81598] Loss_D: -0.022490 Loss_G: 0.010671 Loss_D_real: -0.013804 Loss_D_fake 0.008685
[792/5000][410/535][81599] Loss_D: -0.023732 Loss_G: 0.018206 Loss_D_real: -0.019831 Loss_D_fake 0.003901
[792/5000][415/535][81600] Loss_D: -0.022778 Loss_G: -0.022045 Loss_D_real: -0.006446 Loss_D_fake 0.016332
[792/5000][420/535][81601] Loss_D: -0.023097 Loss_G: 0.017786 Loss_D_real: -0.027054 Loss_D_fake -0.003957
[792/5000][425/535][81602] Loss_D: -0.024576 Loss_G: -0.004811 Loss_D_real: -0.015884 Loss_D_fake 0.008691
[792/5000][430/535][81603] Loss_D: -0.022228 Loss_G: 0.002255 Loss_D_real: -0.005236 Loss_D_fake 0.016992
[792/5000][435/535][81604] Loss_D: -0.024332 Loss_G: -0.002770 Loss_D_real: -0.023479 Loss_D_fake 0.000853
[792/5000][440/535][81605] Loss_D: -0.025674 Loss_G: 0.017150 Loss_D_real: -0.016554 Loss_D_fake 0.009121
[792/5000][445/535][81606] Loss_D: -0.024544 Loss_G: 0.008889 Loss_D_real: -0.021351 Loss_D_fake 0.003193
[792/5000][450/535][81607] Loss_D: -0.024294 Loss_G: 0.015063 Loss_D_real: -0.012365 Loss_D_fake 0.011929
[792/5000][455/535][81608] Loss_D: -0.025111 Loss_G: 0.007272 Loss_D_real: -0.015624 Loss_D_fake 0.009487
[792/5000][460/535][81609] Loss_D: -0.024052 Loss_G: 0.018124 Loss_D_real: -0.025923 Loss_D_fake -0.001871
[792/5000][465/535][81610] Loss_D: -0.023799 Loss_G: 0.010386 Loss_D_real: -0.028039 Loss_D_fake -0.004240
[792/5000][470/535][81611] Loss_D: -0.024141 Loss_G: 0.019178 Loss_D_real: -0.017924 Loss_D_fake 0.006217
[792/5000][475/535][81612] Loss_D: -0.023251 Loss_G: 0.018191 Loss_D_real: -0.028709 Loss_D_fake -0.005458
[792/5000][480/535][81613] Loss_D: -0.024586 Loss_G: 0.010192 Loss_D_real: -0.026108 Loss_D_fake -0.001522
[792/5000][485/535][81614] Loss_D: -0.023742 Loss_G: 0.013034 Loss_D_real: -0.024055 Loss_D_fake -0.000313
[792/5000][490/535][81615] Loss_D: -0.023724 Loss_G: 0.006491 Loss_D_real: -0.011801 Loss_D_fake 0.011923
[792/5000][495/535][81616] Loss_D: -0.023990 Loss_G: 0.012491 Loss_D_real: -0.021746 Loss_D_fake 0.002244
[792/5000][500/535][81617] Loss_D: -0.024861 Loss_G: 0.001331 Loss_D_real: -0.017627 Loss_D_fake 0.007233
[792/5000][505/535][81618] Loss_D: -0.024552 Loss_G: 0.001088 Loss_D_real: -0.003373 Loss_D_fake 0.021179
[792/5000][510/535][81619] Loss_D: -0.023952 Loss_G: 0.007194 Loss_D_real: -0.019262 Loss_D_fake 0.004690
[792/5000][515/535][81620] Loss_D: -0.024088 Loss_G: -0.014661 Loss_D_real: -0.009773 Loss_D_fake 0.014316
[792/5000][520/535][81621] Loss_D: -0.023523 Loss_G: 0.009666 Loss_D_real: -0.012092 Loss_D_fake 0.011431
[792/5000][525/535][81622] Loss_D: -0.022632 Loss_G: 0.011564 Loss_D_real: -0.007050 Loss_D_fake 0.015582
[792/5000][530/535][81623] Loss_D: -0.023695 Loss_G: -0.009148 Loss_D_real: 0.001140 Loss_D_fake 0.024835
[792/5000][535/535][81624] Loss_D: -0.023275 Loss_G: 0.014220 Loss_D_real: -0.031702 Loss_D_fake -0.008427
[793/5000][5/535][81625] Loss_D: -0.023761 Loss_G: 0.007694 Loss_D_real: -0.012745 Loss_D_fake 0.011016
[793/5000][10/535][81626] Loss_D: -0.023795 Loss_G: -0.014456 Loss_D_real: -0.003373 Loss_D_fake 0.020422
[793/5000][15/535][81627] Loss_D: -0.022756 Loss_G: 0.013791 Loss_D_real: -0.020633 Loss_D_fake 0.002123
[793/5000][20/535][81628] Loss_D: -0.023344 Loss_G: 0.003127 Loss_D_real: -0.028044 Loss_D_fake -0.004701
[793/5000][25/535][81629] Loss_D: -0.024634 Loss_G: 0.010290 Loss_D_real: -0.028008 Loss_D_fake -0.003374
[793/5000][30/535][81630] Loss_D: -0.024844 Loss_G: 0.007608 Loss_D_real: -0.009297 Loss_D_fake 0.015546
[793/5000][35/535][81631] Loss_D: -0.022820 Loss_G: 0.013613 Loss_D_real: -0.022859 Loss_D_fake -0.000038
[793/5000][40/535][81632] Loss_D: -0.023094 Loss_G: 0.020482 Loss_D_real: -0.031839 Loss_D_fake -0.008745
[793/5000][45/535][81633] Loss_D: -0.024285 Loss_G: 0.002077 Loss_D_real: -0.010141 Loss_D_fake 0.014143
[793/5000][50/535][81634] Loss_D: -0.021682 Loss_G: 0.018702 Loss_D_real: -0.028014 Loss_D_fake -0.006333
[793/5000][55/535][81635] Loss_D: -0.024550 Loss_G: 0.009442 Loss_D_real: -0.016637 Loss_D_fake 0.007912
[793/5000][60/535][81636] Loss_D: -0.023990 Loss_G: 0.006309 Loss_D_real: -0.016834 Loss_D_fake 0.007156
[793/5000][65/535][81637] Loss_D: -0.024135 Loss_G: 0.020752 Loss_D_real: -0.017616 Loss_D_fake 0.006519
[793/5000][70/535][81638] Loss_D: -0.024713 Loss_G: 0.011909 Loss_D_real: -0.028907 Loss_D_fake -0.004193
[793/5000][75/535][81639] Loss_D: -0.024474 Loss_G: 0.005043 Loss_D_real: -0.011077 Loss_D_fake 0.013398
[793/5000][80/535][81640] Loss_D: -0.024050 Loss_G: 0.010689 Loss_D_real: -0.024294 Loss_D_fake -0.000244
[793/5000][85/535][81641] Loss_D: -0.023488 Loss_G: 0.003345 Loss_D_real: -0.020984 Loss_D_fake 0.002504
[793/5000][90/535][81642] Loss_D: -0.025009 Loss_G: -0.007516 Loss_D_real: -0.013198 Loss_D_fake 0.011811
[793/5000][95/535][81643] Loss_D: -0.024524 Loss_G: 0.020116 Loss_D_real: -0.023303 Loss_D_fake 0.001221
[793/5000][100/535][81644] Loss_D: -0.024080 Loss_G: 0.004564 Loss_D_real: -0.015184 Loss_D_fake 0.008896
[793/5000][105/535][81645] Loss_D: -0.022677 Loss_G: 0.005330 Loss_D_real: -0.024829 Loss_D_fake -0.002152
[793/5000][110/535][81646] Loss_D: -0.024111 Loss_G: 0.002967 Loss_D_real: -0.026009 Loss_D_fake -0.001898
[793/5000][115/535][81647] Loss_D: -0.022520 Loss_G: 0.030083 Loss_D_real: -0.028614 Loss_D_fake -0.006094
[793/5000][120/535][81648] Loss_D: -0.023938 Loss_G: 0.013123 Loss_D_real: -0.015162 Loss_D_fake 0.008776
[793/5000][125/535][81649] Loss_D: -0.022532 Loss_G: -0.008374 Loss_D_real: -0.000136 Loss_D_fake 0.022396
[793/5000][130/535][81650] Loss_D: -0.022788 Loss_G: 0.029336 Loss_D_real: -0.019179 Loss_D_fake 0.003609
[793/5000][135/535][81651] Loss_D: -0.024382 Loss_G: 0.001069 Loss_D_real: -0.019610 Loss_D_fake 0.004772
[793/5000][140/535][81652] Loss_D: -0.022669 Loss_G: 0.009028 Loss_D_real: -0.024776 Loss_D_fake -0.002108
[793/5000][145/535][81653] Loss_D: -0.023773 Loss_G: -0.006390 Loss_D_real: -0.012153 Loss_D_fake 0.011621
[793/5000][150/535][81654] Loss_D: -0.024041 Loss_G: 0.009148 Loss_D_real: -0.023787 Loss_D_fake 0.000253
[793/5000][155/535][81655] Loss_D: -0.022873 Loss_G: 0.005214 Loss_D_real: -0.003958 Loss_D_fake 0.018915
[793/5000][160/535][81656] Loss_D: -0.022511 Loss_G: 0.027068 Loss_D_real: -0.030614 Loss_D_fake -0.008102
[793/5000][165/535][81657] Loss_D: -0.023846 Loss_G: -0.002420 Loss_D_real: -0.008343 Loss_D_fake 0.015502
[793/5000][170/535][81658] Loss_D: -0.023885 Loss_G: 0.014159 Loss_D_real: -0.019507 Loss_D_fake 0.004378
[793/5000][175/535][81659] Loss_D: -0.023102 Loss_G: 0.009668 Loss_D_real: -0.022135 Loss_D_fake 0.000966
[793/5000][180/535][81660] Loss_D: -0.023932 Loss_G: 0.009636 Loss_D_real: -0.027975 Loss_D_fake -0.004042
[793/5000][185/535][81661] Loss_D: -0.023462 Loss_G: 0.016854 Loss_D_real: -0.022518 Loss_D_fake 0.000944
[793/5000][190/535][81662] Loss_D: -0.024083 Loss_G: 0.020494 Loss_D_real: -0.024409 Loss_D_fake -0.000326
[793/5000][195/535][81663] Loss_D: -0.023246 Loss_G: 0.012257 Loss_D_real: -0.031367 Loss_D_fake -0.008121
[793/5000][200/535][81664] Loss_D: -0.023279 Loss_G: 0.006072 Loss_D_real: -0.017904 Loss_D_fake 0.005375
[793/5000][205/535][81665] Loss_D: -0.025002 Loss_G: 0.017807 Loss_D_real: -0.021113 Loss_D_fake 0.003889
[793/5000][210/535][81666] Loss_D: -0.023178 Loss_G: 0.006956 Loss_D_real: -0.021330 Loss_D_fake 0.001848
[793/5000][215/535][81667] Loss_D: -0.022815 Loss_G: 0.025345 Loss_D_real: -0.030564 Loss_D_fake -0.007749
[793/5000][220/535][81668] Loss_D: -0.022840 Loss_G: 0.021149 Loss_D_real: -0.017092 Loss_D_fake 0.005748
[793/5000][225/535][81669] Loss_D: -0.023549 Loss_G: -0.021252 Loss_D_real: -0.014257 Loss_D_fake 0.009292
[793/5000][230/535][81670] Loss_D: -0.021989 Loss_G: 0.025422 Loss_D_real: -0.024660 Loss_D_fake -0.002671
[793/5000][235/535][81671] Loss_D: -0.024524 Loss_G: 0.001842 Loss_D_real: -0.006337 Loss_D_fake 0.018187
[793/5000][240/535][81672] Loss_D: -0.024286 Loss_G: 0.009260 Loss_D_real: -0.021474 Loss_D_fake 0.002813
[793/5000][245/535][81673] Loss_D: -0.022831 Loss_G: 0.018002 Loss_D_real: -0.036750 Loss_D_fake -0.013919
[793/5000][250/535][81674] Loss_D: -0.024223 Loss_G: 0.010392 Loss_D_real: -0.012647 Loss_D_fake 0.011576
[793/5000][255/535][81675] Loss_D: -0.023205 Loss_G: 0.016007 Loss_D_real: -0.018642 Loss_D_fake 0.004564
[793/5000][260/535][81676] Loss_D: -0.022830 Loss_G: 0.008568 Loss_D_real: -0.020674 Loss_D_fake 0.002156
[793/5000][265/535][81677] Loss_D: -0.023246 Loss_G: 0.006871 Loss_D_real: -0.014701 Loss_D_fake 0.008546
[793/5000][270/535][81678] Loss_D: -0.022591 Loss_G: 0.035886 Loss_D_real: -0.036250 Loss_D_fake -0.013659
[793/5000][275/535][81679] Loss_D: -0.021826 Loss_G: -0.013141 Loss_D_real: 0.000935 Loss_D_fake 0.022761
[793/5000][280/535][81680] Loss_D: -0.024211 Loss_G: 0.012073 Loss_D_real: -0.019993 Loss_D_fake 0.004218
[793/5000][285/535][81681] Loss_D: -0.024118 Loss_G: 0.008183 Loss_D_real: -0.025646 Loss_D_fake -0.001527
[793/5000][290/535][81682] Loss_D: -0.022620 Loss_G: 0.014109 Loss_D_real: -0.027735 Loss_D_fake -0.005115
[793/5000][295/535][81683] Loss_D: -0.023684 Loss_G: 0.019046 Loss_D_real: -0.030948 Loss_D_fake -0.007265
[793/5000][300/535][81684] Loss_D: -0.024001 Loss_G: -0.010888 Loss_D_real: -0.012087 Loss_D_fake 0.011915
[793/5000][305/535][81685] Loss_D: -0.024292 Loss_G: 0.008635 Loss_D_real: -0.016220 Loss_D_fake 0.008072
[793/5000][310/535][81686] Loss_D: -0.023722 Loss_G: 0.028903 Loss_D_real: -0.021623 Loss_D_fake 0.002099
[793/5000][315/535][81687] Loss_D: -0.024001 Loss_G: 0.007584 Loss_D_real: -0.014132 Loss_D_fake 0.009868
[793/5000][320/535][81688] Loss_D: -0.023662 Loss_G: -0.002411 Loss_D_real: -0.004697 Loss_D_fake 0.018965
[793/5000][325/535][81689] Loss_D: -0.022214 Loss_G: 0.013231 Loss_D_real: -0.028607 Loss_D_fake -0.006393
[793/5000][330/535][81690] Loss_D: -0.023094 Loss_G: 0.015300 Loss_D_real: -0.025447 Loss_D_fake -0.002353
[793/5000][335/535][81691] Loss_D: -0.021712 Loss_G: 0.021058 Loss_D_real: -0.021374 Loss_D_fake 0.000338
[793/5000][340/535][81692] Loss_D: -0.022534 Loss_G: 0.009159 Loss_D_real: -0.029768 Loss_D_fake -0.007234
[793/5000][345/535][81693] Loss_D: -0.021760 Loss_G: 0.004790 Loss_D_real: -0.018438 Loss_D_fake 0.003322
[793/5000][350/535][81694] Loss_D: -0.022911 Loss_G: 0.031359 Loss_D_real: -0.025913 Loss_D_fake -0.003002
[793/5000][355/535][81695] Loss_D: -0.022447 Loss_G: 0.003361 Loss_D_real: -0.008101 Loss_D_fake 0.014346
[793/5000][360/535][81696] Loss_D: -0.023753 Loss_G: 0.010936 Loss_D_real: -0.028210 Loss_D_fake -0.004457
[793/5000][365/535][81697] Loss_D: -0.023507 Loss_G: 0.009344 Loss_D_real: -0.008993 Loss_D_fake 0.014515
[793/5000][370/535][81698] Loss_D: -0.023755 Loss_G: 0.013391 Loss_D_real: -0.024255 Loss_D_fake -0.000500
[793/5000][375/535][81699] Loss_D: -0.024442 Loss_G: 0.010340 Loss_D_real: -0.027285 Loss_D_fake -0.002843
[793/5000][380/535][81700] Loss_D: -0.023637 Loss_G: 0.002166 Loss_D_real: -0.013317 Loss_D_fake 0.010320
[793/5000][385/535][81701] Loss_D: -0.022974 Loss_G: 0.023094 Loss_D_real: -0.025014 Loss_D_fake -0.002040
[793/5000][390/535][81702] Loss_D: -0.023423 Loss_G: 0.004222 Loss_D_real: -0.019519 Loss_D_fake 0.003904
[793/5000][395/535][81703] Loss_D: -0.023999 Loss_G: 0.001736 Loss_D_real: -0.014317 Loss_D_fake 0.009683
[793/5000][400/535][81704] Loss_D: -0.022608 Loss_G: 0.020545 Loss_D_real: -0.027778 Loss_D_fake -0.005170
[793/5000][405/535][81705] Loss_D: -0.024472 Loss_G: -0.017897 Loss_D_real: -0.005820 Loss_D_fake 0.018652
[793/5000][410/535][81706] Loss_D: -0.023616 Loss_G: -0.001129 Loss_D_real: -0.015794 Loss_D_fake 0.007822
[793/5000][415/535][81707] Loss_D: -0.022733 Loss_G: 0.007772 Loss_D_real: -0.003572 Loss_D_fake 0.019161
[793/5000][420/535][81708] Loss_D: -0.024508 Loss_G: 0.015595 Loss_D_real: -0.021619 Loss_D_fake 0.002888
[793/5000][425/535][81709] Loss_D: -0.024380 Loss_G: -0.003174 Loss_D_real: -0.011463 Loss_D_fake 0.012917
[793/5000][430/535][81710] Loss_D: -0.024419 Loss_G: 0.026643 Loss_D_real: -0.020434 Loss_D_fake 0.003985
[793/5000][435/535][81711] Loss_D: -0.023111 Loss_G: 0.022419 Loss_D_real: -0.033752 Loss_D_fake -0.010640
[793/5000][440/535][81712] Loss_D: -0.023890 Loss_G: 0.015346 Loss_D_real: -0.025006 Loss_D_fake -0.001116
[793/5000][445/535][81713] Loss_D: -0.025278 Loss_G: 0.024998 Loss_D_real: -0.028068 Loss_D_fake -0.002791
[793/5000][450/535][81714] Loss_D: -0.025665 Loss_G: 0.011055 Loss_D_real: -0.032913 Loss_D_fake -0.007248
[793/5000][455/535][81715] Loss_D: -0.024490 Loss_G: 0.001968 Loss_D_real: -0.019122 Loss_D_fake 0.005368
[793/5000][460/535][81716] Loss_D: -0.025851 Loss_G: 0.016947 Loss_D_real: -0.022185 Loss_D_fake 0.003666
[793/5000][465/535][81717] Loss_D: -0.025544 Loss_G: -0.000153 Loss_D_real: -0.026115 Loss_D_fake -0.000571
[793/5000][470/535][81718] Loss_D: -0.024967 Loss_G: 0.005927 Loss_D_real: -0.015050 Loss_D_fake 0.009917
[793/5000][475/535][81719] Loss_D: -0.023466 Loss_G: -0.004293 Loss_D_real: -0.005172 Loss_D_fake 0.018294
[793/5000][480/535][81720] Loss_D: -0.023921 Loss_G: 0.018905 Loss_D_real: -0.020205 Loss_D_fake 0.003716
[793/5000][485/535][81721] Loss_D: -0.024175 Loss_G: 0.010015 Loss_D_real: -0.028742 Loss_D_fake -0.004567
[793/5000][490/535][81722] Loss_D: -0.022397 Loss_G: 0.024806 Loss_D_real: -0.021831 Loss_D_fake 0.000566
[793/5000][495/535][81723] Loss_D: -0.022966 Loss_G: 0.001385 Loss_D_real: -0.019004 Loss_D_fake 0.003962
[793/5000][500/535][81724] Loss_D: -0.023376 Loss_G: 0.022815 Loss_D_real: -0.030876 Loss_D_fake -0.007499
[793/5000][505/535][81725] Loss_D: -0.024065 Loss_G: 0.005928 Loss_D_real: -0.023405 Loss_D_fake 0.000660
[793/5000][510/535][81726] Loss_D: -0.023638 Loss_G: -0.008664 Loss_D_real: -0.008608 Loss_D_fake 0.015030
[793/5000][515/535][81727] Loss_D: -0.022233 Loss_G: 0.031048 Loss_D_real: -0.031329 Loss_D_fake -0.009096
[793/5000][520/535][81728] Loss_D: -0.023508 Loss_G: 0.002096 Loss_D_real: -0.004289 Loss_D_fake 0.019219
[793/5000][525/535][81729] Loss_D: -0.022929 Loss_G: 0.008832 Loss_D_real: -0.015735 Loss_D_fake 0.007193
[793/5000][530/535][81730] Loss_D: -0.023099 Loss_G: 0.005721 Loss_D_real: -0.021661 Loss_D_fake 0.001439
[793/5000][535/535][81731] Loss_D: -0.022043 Loss_G: 0.029833 Loss_D_real: -0.021338 Loss_D_fake 0.000705
[794/5000][5/535][81732] Loss_D: -0.024157 Loss_G: 0.023627 Loss_D_real: -0.025622 Loss_D_fake -0.001465
[794/5000][10/535][81733] Loss_D: -0.023793 Loss_G: 0.003733 Loss_D_real: -0.023541 Loss_D_fake 0.000252
[794/5000][15/535][81734] Loss_D: -0.022961 Loss_G: -0.003851 Loss_D_real: -0.009270 Loss_D_fake 0.013690
[794/5000][20/535][81735] Loss_D: -0.022632 Loss_G: 0.006443 Loss_D_real: -0.010229 Loss_D_fake 0.012404
[794/5000][25/535][81736] Loss_D: -0.023455 Loss_G: -0.003921 Loss_D_real: -0.015460 Loss_D_fake 0.007995
[794/5000][30/535][81737] Loss_D: -0.024207 Loss_G: 0.012365 Loss_D_real: -0.023371 Loss_D_fake 0.000836
[794/5000][35/535][81738] Loss_D: -0.024428 Loss_G: 0.001795 Loss_D_real: -0.003053 Loss_D_fake 0.021375
[794/5000][40/535][81739] Loss_D: -0.023863 Loss_G: -0.002845 Loss_D_real: -0.000919 Loss_D_fake 0.022944
[794/5000][45/535][81740] Loss_D: -0.022797 Loss_G: 0.010256 Loss_D_real: -0.022294 Loss_D_fake 0.000504
[794/5000][50/535][81741] Loss_D: -0.024105 Loss_G: 0.009560 Loss_D_real: -0.019914 Loss_D_fake 0.004190
[794/5000][55/535][81742] Loss_D: -0.024003 Loss_G: 0.004172 Loss_D_real: -0.008255 Loss_D_fake 0.015748
[794/5000][60/535][81743] Loss_D: -0.022839 Loss_G: 0.016781 Loss_D_real: -0.013765 Loss_D_fake 0.009074
[794/5000][65/535][81744] Loss_D: -0.024214 Loss_G: 0.002506 Loss_D_real: -0.018554 Loss_D_fake 0.005660
[794/5000][70/535][81745] Loss_D: -0.023636 Loss_G: 0.011769 Loss_D_real: -0.024815 Loss_D_fake -0.001179
[794/5000][75/535][81746] Loss_D: -0.023148 Loss_G: 0.005087 Loss_D_real: -0.024951 Loss_D_fake -0.001804
[794/5000][80/535][81747] Loss_D: -0.024399 Loss_G: 0.003514 Loss_D_real: -0.006205 Loss_D_fake 0.018194
[794/5000][85/535][81748] Loss_D: -0.023358 Loss_G: 0.020987 Loss_D_real: -0.026971 Loss_D_fake -0.003613
[794/5000][90/535][81749] Loss_D: -0.022869 Loss_G: 0.009994 Loss_D_real: -0.018600 Loss_D_fake 0.004269
[794/5000][95/535][81750] Loss_D: -0.024292 Loss_G: 0.017840 Loss_D_real: -0.023508 Loss_D_fake 0.000784
[794/5000][100/535][81751] Loss_D: -0.021835 Loss_G: 0.008179 Loss_D_real: -0.013222 Loss_D_fake 0.008613
[794/5000][105/535][81752] Loss_D: -0.023472 Loss_G: 0.003350 Loss_D_real: -0.013631 Loss_D_fake 0.009841
[794/5000][110/535][81753] Loss_D: -0.022252 Loss_G: 0.025616 Loss_D_real: -0.038605 Loss_D_fake -0.016353
[794/5000][115/535][81754] Loss_D: -0.022929 Loss_G: -0.000054 Loss_D_real: -0.017359 Loss_D_fake 0.005570
[794/5000][120/535][81755] Loss_D: -0.023127 Loss_G: -0.005859 Loss_D_real: -0.009520 Loss_D_fake 0.013607
[794/5000][125/535][81756] Loss_D: -0.023685 Loss_G: -0.001970 Loss_D_real: -0.013330 Loss_D_fake 0.010355
[794/5000][130/535][81757] Loss_D: -0.023350 Loss_G: 0.007699 Loss_D_real: -0.009167 Loss_D_fake 0.014183
[794/5000][135/535][81758] Loss_D: -0.024476 Loss_G: 0.014460 Loss_D_real: -0.021726 Loss_D_fake 0.002750
[794/5000][140/535][81759] Loss_D: -0.023042 Loss_G: 0.014171 Loss_D_real: -0.017094 Loss_D_fake 0.005948
[794/5000][145/535][81760] Loss_D: -0.023184 Loss_G: 0.003569 Loss_D_real: -0.002292 Loss_D_fake 0.020892
[794/5000][150/535][81761] Loss_D: -0.022577 Loss_G: -0.002550 Loss_D_real: -0.009646 Loss_D_fake 0.012932
[794/5000][155/535][81762] Loss_D: -0.022226 Loss_G: -0.009445 Loss_D_real: -0.006336 Loss_D_fake 0.015890
[794/5000][160/535][81763] Loss_D: -0.021172 Loss_G: 0.014407 Loss_D_real: -0.033116 Loss_D_fake -0.011944
[794/5000][165/535][81764] Loss_D: -0.023352 Loss_G: 0.018670 Loss_D_real: -0.020699 Loss_D_fake 0.002654
[794/5000][170/535][81765] Loss_D: -0.023460 Loss_G: 0.000352 Loss_D_real: -0.015830 Loss_D_fake 0.007629
[794/5000][175/535][81766] Loss_D: -0.024692 Loss_G: 0.021061 Loss_D_real: -0.030201 Loss_D_fake -0.005509
[794/5000][180/535][81767] Loss_D: -0.025588 Loss_G: 0.015241 Loss_D_real: -0.020473 Loss_D_fake 0.005115
[794/5000][185/535][81768] Loss_D: -0.023595 Loss_G: 0.032291 Loss_D_real: -0.025479 Loss_D_fake -0.001885
[794/5000][190/535][81769] Loss_D: -0.024343 Loss_G: 0.006093 Loss_D_real: -0.031454 Loss_D_fake -0.007111
[794/5000][195/535][81770] Loss_D: -0.025160 Loss_G: 0.002564 Loss_D_real: -0.009099 Loss_D_fake 0.016062
[794/5000][200/535][81771] Loss_D: -0.024143 Loss_G: 0.025923 Loss_D_real: -0.034593 Loss_D_fake -0.010449
[794/5000][205/535][81772] Loss_D: -0.024310 Loss_G: -0.003643 Loss_D_real: -0.019123 Loss_D_fake 0.005187
[794/5000][210/535][81773] Loss_D: -0.025674 Loss_G: 0.006300 Loss_D_real: 0.000929 Loss_D_fake 0.026603
[794/5000][215/535][81774] Loss_D: -0.024051 Loss_G: 0.005172 Loss_D_real: -0.010230 Loss_D_fake 0.013820
[794/5000][220/535][81775] Loss_D: -0.024512 Loss_G: 0.019169 Loss_D_real: -0.021269 Loss_D_fake 0.003244
[794/5000][225/535][81776] Loss_D: -0.025141 Loss_G: 0.014784 Loss_D_real: -0.020189 Loss_D_fake 0.004952
[794/5000][230/535][81777] Loss_D: -0.024109 Loss_G: 0.033137 Loss_D_real: -0.034563 Loss_D_fake -0.010454
[794/5000][235/535][81778] Loss_D: -0.025427 Loss_G: 0.018286 Loss_D_real: -0.020443 Loss_D_fake 0.004984
[794/5000][240/535][81779] Loss_D: -0.024773 Loss_G: -0.006061 Loss_D_real: -0.014562 Loss_D_fake 0.010211
[794/5000][245/535][81780] Loss_D: -0.024777 Loss_G: 0.008107 Loss_D_real: -0.032484 Loss_D_fake -0.007707
[794/5000][250/535][81781] Loss_D: -0.023481 Loss_G: 0.019039 Loss_D_real: -0.014239 Loss_D_fake 0.009242
[794/5000][255/535][81782] Loss_D: -0.024664 Loss_G: 0.004915 Loss_D_real: -0.015419 Loss_D_fake 0.009245
[794/5000][260/535][81783] Loss_D: -0.022396 Loss_G: -0.001014 Loss_D_real: -0.013885 Loss_D_fake 0.008511
[794/5000][265/535][81784] Loss_D: -0.023339 Loss_G: 0.001286 Loss_D_real: -0.015283 Loss_D_fake 0.008057
[794/5000][270/535][81785] Loss_D: -0.023973 Loss_G: -0.001635 Loss_D_real: -0.007154 Loss_D_fake 0.016820
[794/5000][275/535][81786] Loss_D: -0.025132 Loss_G: 0.011437 Loss_D_real: -0.012571 Loss_D_fake 0.012561
[794/5000][280/535][81787] Loss_D: -0.023294 Loss_G: 0.003071 Loss_D_real: -0.009887 Loss_D_fake 0.013407
[794/5000][285/535][81788] Loss_D: -0.022390 Loss_G: 0.000555 Loss_D_real: -0.012411 Loss_D_fake 0.009979
[794/5000][290/535][81789] Loss_D: -0.023992 Loss_G: 0.007987 Loss_D_real: -0.024995 Loss_D_fake -0.001003
[794/5000][295/535][81790] Loss_D: -0.022459 Loss_G: 0.028591 Loss_D_real: -0.031105 Loss_D_fake -0.008646
[794/5000][300/535][81791] Loss_D: -0.023439 Loss_G: 0.023075 Loss_D_real: -0.027689 Loss_D_fake -0.004249
[794/5000][305/535][81792] Loss_D: -0.023296 Loss_G: -0.008743 Loss_D_real: -0.001268 Loss_D_fake 0.022028
[794/5000][310/535][81793] Loss_D: -0.023122 Loss_G: 0.008724 Loss_D_real: -0.025072 Loss_D_fake -0.001951
[794/5000][315/535][81794] Loss_D: -0.021846 Loss_G: -0.006731 Loss_D_real: -0.004911 Loss_D_fake 0.016936
[794/5000][320/535][81795] Loss_D: -0.022639 Loss_G: -0.001040 Loss_D_real: -0.007415 Loss_D_fake 0.015224
[794/5000][325/535][81796] Loss_D: -0.022764 Loss_G: 0.012165 Loss_D_real: -0.014085 Loss_D_fake 0.008679
[794/5000][330/535][81797] Loss_D: -0.021116 Loss_G: -0.015454 Loss_D_real: -0.002470 Loss_D_fake 0.018646
[794/5000][335/535][81798] Loss_D: -0.024122 Loss_G: 0.003585 Loss_D_real: -0.004644 Loss_D_fake 0.019478
[794/5000][340/535][81799] Loss_D: -0.023529 Loss_G: 0.005760 Loss_D_real: -0.020250 Loss_D_fake 0.003279
[794/5000][345/535][81800] Loss_D: -0.024311 Loss_G: 0.026547 Loss_D_real: -0.022192 Loss_D_fake 0.002119
[794/5000][350/535][81801] Loss_D: -0.024006 Loss_G: 0.007374 Loss_D_real: -0.013710 Loss_D_fake 0.010296
[794/5000][355/535][81802] Loss_D: -0.024468 Loss_G: -0.004092 Loss_D_real: -0.009474 Loss_D_fake 0.014994
[794/5000][360/535][81803] Loss_D: -0.024574 Loss_G: 0.010920 Loss_D_real: -0.021171 Loss_D_fake 0.003403
[794/5000][365/535][81804] Loss_D: -0.024872 Loss_G: -0.004053 Loss_D_real: -0.004787 Loss_D_fake 0.020085
[794/5000][370/535][81805] Loss_D: -0.024049 Loss_G: 0.001485 Loss_D_real: -0.014913 Loss_D_fake 0.009136
[794/5000][375/535][81806] Loss_D: -0.023653 Loss_G: 0.005721 Loss_D_real: -0.019193 Loss_D_fake 0.004460
[794/5000][380/535][81807] Loss_D: -0.023384 Loss_G: -0.002040 Loss_D_real: -0.015788 Loss_D_fake 0.007596
[794/5000][385/535][81808] Loss_D: -0.023670 Loss_G: 0.016153 Loss_D_real: -0.024108 Loss_D_fake -0.000439
[794/5000][390/535][81809] Loss_D: -0.023671 Loss_G: -0.003040 Loss_D_real: -0.002736 Loss_D_fake 0.020935
[794/5000][395/535][81810] Loss_D: -0.023872 Loss_G: 0.017349 Loss_D_real: -0.022540 Loss_D_fake 0.001332
[794/5000][400/535][81811] Loss_D: -0.022754 Loss_G: -0.011806 Loss_D_real: 0.000091 Loss_D_fake 0.022845
[794/5000][405/535][81812] Loss_D: -0.023484 Loss_G: 0.022246 Loss_D_real: -0.024641 Loss_D_fake -0.001157
[794/5000][410/535][81813] Loss_D: -0.022249 Loss_G: 0.004816 Loss_D_real: -0.012535 Loss_D_fake 0.009714
[794/5000][415/535][81814] Loss_D: -0.023374 Loss_G: 0.027105 Loss_D_real: -0.028425 Loss_D_fake -0.005051
[794/5000][420/535][81815] Loss_D: -0.022746 Loss_G: -0.001822 Loss_D_real: -0.024014 Loss_D_fake -0.001268
[794/5000][425/535][81816] Loss_D: -0.023510 Loss_G: 0.014236 Loss_D_real: -0.019206 Loss_D_fake 0.004304
[794/5000][430/535][81817] Loss_D: -0.023273 Loss_G: 0.011018 Loss_D_real: -0.026508 Loss_D_fake -0.003236
[794/5000][435/535][81818] Loss_D: -0.023559 Loss_G: -0.011441 Loss_D_real: 0.001840 Loss_D_fake 0.025399
[794/5000][440/535][81819] Loss_D: -0.024624 Loss_G: 0.009239 Loss_D_real: -0.017072 Loss_D_fake 0.007552
[794/5000][445/535][81820] Loss_D: -0.024008 Loss_G: 0.029774 Loss_D_real: -0.033612 Loss_D_fake -0.009604
[794/5000][450/535][81821] Loss_D: -0.023964 Loss_G: 0.022285 Loss_D_real: -0.030116 Loss_D_fake -0.006152
[794/5000][455/535][81822] Loss_D: -0.023713 Loss_G: 0.023154 Loss_D_real: -0.032951 Loss_D_fake -0.009238
[794/5000][460/535][81823] Loss_D: -0.023876 Loss_G: 0.025362 Loss_D_real: -0.032735 Loss_D_fake -0.008859
[794/5000][465/535][81824] Loss_D: -0.024593 Loss_G: 0.006984 Loss_D_real: -0.018561 Loss_D_fake 0.006031
[794/5000][470/535][81825] Loss_D: -0.023185 Loss_G: 0.022655 Loss_D_real: -0.025358 Loss_D_fake -0.002173
[794/5000][475/535][81826] Loss_D: -0.024388 Loss_G: 0.009730 Loss_D_real: -0.026852 Loss_D_fake -0.002464
[794/5000][480/535][81827] Loss_D: -0.022281 Loss_G: 0.018558 Loss_D_real: -0.031629 Loss_D_fake -0.009349
[794/5000][485/535][81828] Loss_D: -0.023578 Loss_G: 0.021024 Loss_D_real: -0.036021 Loss_D_fake -0.012443
[794/5000][490/535][81829] Loss_D: -0.025039 Loss_G: -0.002342 Loss_D_real: -0.013198 Loss_D_fake 0.011841
[794/5000][495/535][81830] Loss_D: -0.023348 Loss_G: 0.017701 Loss_D_real: -0.018266 Loss_D_fake 0.005082
[794/5000][500/535][81831] Loss_D: -0.023662 Loss_G: -0.010031 Loss_D_real: -0.011804 Loss_D_fake 0.011858
[794/5000][505/535][81832] Loss_D: -0.023820 Loss_G: 0.005005 Loss_D_real: -0.015795 Loss_D_fake 0.008025
[794/5000][510/535][81833] Loss_D: -0.023830 Loss_G: 0.023077 Loss_D_real: -0.027329 Loss_D_fake -0.003499
[794/5000][515/535][81834] Loss_D: -0.024678 Loss_G: 0.000224 Loss_D_real: -0.018828 Loss_D_fake 0.005851
[794/5000][520/535][81835] Loss_D: -0.022773 Loss_G: 0.011667 Loss_D_real: -0.014384 Loss_D_fake 0.008389
[794/5000][525/535][81836] Loss_D: -0.024923 Loss_G: 0.007086 Loss_D_real: -0.012771 Loss_D_fake 0.012152
[794/5000][530/535][81837] Loss_D: -0.023697 Loss_G: 0.017004 Loss_D_real: -0.028370 Loss_D_fake -0.004673
[794/5000][535/535][81838] Loss_D: -0.023777 Loss_G: -0.001199 Loss_D_real: -0.011006 Loss_D_fake 0.012771
[795/5000][5/535][81839] Loss_D: -0.025429 Loss_G: 0.001087 Loss_D_real: -0.026886 Loss_D_fake -0.001457
[795/5000][10/535][81840] Loss_D: -0.024240 Loss_G: 0.016313 Loss_D_real: -0.016554 Loss_D_fake 0.007686
[795/5000][15/535][81841] Loss_D: -0.022897 Loss_G: 0.012689 Loss_D_real: -0.012346 Loss_D_fake 0.010551
[795/5000][20/535][81842] Loss_D: -0.023726 Loss_G: -0.000680 Loss_D_real: -0.004931 Loss_D_fake 0.018795
[795/5000][25/535][81843] Loss_D: -0.023709 Loss_G: 0.001400 Loss_D_real: -0.014364 Loss_D_fake 0.009345
[795/5000][30/535][81844] Loss_D: -0.021492 Loss_G: 0.026617 Loss_D_real: -0.039837 Loss_D_fake -0.018345
[795/5000][35/535][81845] Loss_D: -0.022281 Loss_G: 0.023650 Loss_D_real: -0.030044 Loss_D_fake -0.007762
[795/5000][40/535][81846] Loss_D: -0.022867 Loss_G: 0.023768 Loss_D_real: -0.029528 Loss_D_fake -0.006661
[795/5000][45/535][81847] Loss_D: -0.024338 Loss_G: -0.000352 Loss_D_real: -0.018655 Loss_D_fake 0.005683
[795/5000][50/535][81848] Loss_D: -0.022555 Loss_G: 0.025290 Loss_D_real: -0.027659 Loss_D_fake -0.005104
[795/5000][55/535][81849] Loss_D: -0.024162 Loss_G: -0.010618 Loss_D_real: -0.009344 Loss_D_fake 0.014817
[795/5000][60/535][81850] Loss_D: -0.021861 Loss_G: 0.006399 Loss_D_real: -0.019819 Loss_D_fake 0.002042
[795/5000][65/535][81851] Loss_D: -0.023239 Loss_G: 0.029073 Loss_D_real: -0.031135 Loss_D_fake -0.007896
[795/5000][70/535][81852] Loss_D: -0.022535 Loss_G: -0.005151 Loss_D_real: -0.006757 Loss_D_fake 0.015778
[795/5000][75/535][81853] Loss_D: -0.020618 Loss_G: 0.035875 Loss_D_real: -0.036723 Loss_D_fake -0.016105
[795/5000][80/535][81854] Loss_D: -0.023437 Loss_G: 0.007809 Loss_D_real: -0.020649 Loss_D_fake 0.002789
[795/5000][85/535][81855] Loss_D: -0.023497 Loss_G: 0.000198 Loss_D_real: -0.015682 Loss_D_fake 0.007815
[795/5000][90/535][81856] Loss_D: -0.022317 Loss_G: 0.015012 Loss_D_real: -0.031044 Loss_D_fake -0.008727
[795/5000][95/535][81857] Loss_D: -0.023803 Loss_G: 0.010293 Loss_D_real: -0.010542 Loss_D_fake 0.013261
[795/5000][100/535][81858] Loss_D: -0.023983 Loss_G: 0.014232 Loss_D_real: -0.021332 Loss_D_fake 0.002652
[795/5000][105/535][81859] Loss_D: -0.023332 Loss_G: -0.006087 Loss_D_real: -0.023485 Loss_D_fake -0.000153
[795/5000][110/535][81860] Loss_D: -0.023520 Loss_G: 0.010498 Loss_D_real: -0.013234 Loss_D_fake 0.010286
[795/5000][115/535][81861] Loss_D: -0.022012 Loss_G: 0.030670 Loss_D_real: -0.037110 Loss_D_fake -0.015099
[795/5000][120/535][81862] Loss_D: -0.024249 Loss_G: 0.005640 Loss_D_real: -0.016629 Loss_D_fake 0.007620
[795/5000][125/535][81863] Loss_D: -0.023936 Loss_G: 0.013574 Loss_D_real: -0.031431 Loss_D_fake -0.007496
[795/5000][130/535][81864] Loss_D: -0.023497 Loss_G: 0.000710 Loss_D_real: -0.014648 Loss_D_fake 0.008849
[795/5000][135/535][81865] Loss_D: -0.023712 Loss_G: 0.019386 Loss_D_real: -0.024643 Loss_D_fake -0.000931
[795/5000][140/535][81866] Loss_D: -0.024781 Loss_G: 0.023459 Loss_D_real: -0.018461 Loss_D_fake 0.006320
[795/5000][145/535][81867] Loss_D: -0.025413 Loss_G: 0.005832 Loss_D_real: -0.020618 Loss_D_fake 0.004795
[795/5000][150/535][81868] Loss_D: -0.024867 Loss_G: -0.011353 Loss_D_real: 0.001156 Loss_D_fake 0.026024
[795/5000][155/535][81869] Loss_D: -0.024967 Loss_G: -0.001263 Loss_D_real: -0.011670 Loss_D_fake 0.013297
[795/5000][160/535][81870] Loss_D: -0.024126 Loss_G: 0.017743 Loss_D_real: -0.027696 Loss_D_fake -0.003570
[795/5000][165/535][81871] Loss_D: -0.023104 Loss_G: -0.004243 Loss_D_real: -0.006164 Loss_D_fake 0.016940
[795/5000][170/535][81872] Loss_D: -0.024330 Loss_G: 0.026292 Loss_D_real: -0.025000 Loss_D_fake -0.000670
[795/5000][175/535][81873] Loss_D: -0.025122 Loss_G: 0.016620 Loss_D_real: -0.017526 Loss_D_fake 0.007596
[795/5000][180/535][81874] Loss_D: -0.024303 Loss_G: 0.022477 Loss_D_real: -0.029255 Loss_D_fake -0.004952
[795/5000][185/535][81875] Loss_D: -0.024278 Loss_G: 0.002848 Loss_D_real: -0.022509 Loss_D_fake 0.001768
[795/5000][190/535][81876] Loss_D: -0.024598 Loss_G: 0.011949 Loss_D_real: -0.019675 Loss_D_fake 0.004924
[795/5000][195/535][81877] Loss_D: -0.024334 Loss_G: -0.013491 Loss_D_real: -0.019715 Loss_D_fake 0.004619
[795/5000][200/535][81878] Loss_D: -0.021258 Loss_G: 0.031051 Loss_D_real: -0.029480 Loss_D_fake -0.008222
[795/5000][205/535][81879] Loss_D: -0.024410 Loss_G: 0.006530 Loss_D_real: -0.015501 Loss_D_fake 0.008909
[795/5000][210/535][81880] Loss_D: -0.023846 Loss_G: 0.021589 Loss_D_real: -0.036394 Loss_D_fake -0.012548
[795/5000][215/535][81881] Loss_D: -0.021825 Loss_G: -0.003059 Loss_D_real: -0.001638 Loss_D_fake 0.020187
[795/5000][220/535][81882] Loss_D: -0.024713 Loss_G: 0.010568 Loss_D_real: -0.016738 Loss_D_fake 0.007975
[795/5000][225/535][81883] Loss_D: -0.023214 Loss_G: -0.001688 Loss_D_real: -0.006964 Loss_D_fake 0.016250
[795/5000][230/535][81884] Loss_D: -0.024408 Loss_G: 0.011277 Loss_D_real: -0.026733 Loss_D_fake -0.002325
[795/5000][235/535][81885] Loss_D: -0.024141 Loss_G: 0.020312 Loss_D_real: -0.033220 Loss_D_fake -0.009080
[795/5000][240/535][81886] Loss_D: -0.023108 Loss_G: 0.020107 Loss_D_real: -0.029049 Loss_D_fake -0.005941
[795/5000][245/535][81887] Loss_D: -0.022226 Loss_G: 0.012440 Loss_D_real: -0.015103 Loss_D_fake 0.007123
[795/5000][250/535][81888] Loss_D: -0.023296 Loss_G: 0.014065 Loss_D_real: -0.011409 Loss_D_fake 0.011887
[795/5000][255/535][81889] Loss_D: -0.024634 Loss_G: 0.009170 Loss_D_real: -0.021691 Loss_D_fake 0.002943
[795/5000][260/535][81890] Loss_D: -0.022583 Loss_G: 0.011535 Loss_D_real: -0.030586 Loss_D_fake -0.008003
[795/5000][265/535][81891] Loss_D: -0.021545 Loss_G: 0.021557 Loss_D_real: -0.030439 Loss_D_fake -0.008895
[795/5000][270/535][81892] Loss_D: -0.023564 Loss_G: 0.011183 Loss_D_real: -0.021645 Loss_D_fake 0.001919
[795/5000][275/535][81893] Loss_D: -0.024226 Loss_G: 0.004568 Loss_D_real: -0.015656 Loss_D_fake 0.008570
[795/5000][280/535][81894] Loss_D: -0.023894 Loss_G: 0.017851 Loss_D_real: -0.021715 Loss_D_fake 0.002179
[795/5000][285/535][81895] Loss_D: -0.023584 Loss_G: -0.007986 Loss_D_real: -0.012374 Loss_D_fake 0.011210
[795/5000][290/535][81896] Loss_D: -0.023283 Loss_G: 0.000852 Loss_D_real: -0.013629 Loss_D_fake 0.009655
[795/5000][295/535][81897] Loss_D: -0.023923 Loss_G: 0.003235 Loss_D_real: -0.018299 Loss_D_fake 0.005624
[795/5000][300/535][81898] Loss_D: -0.024558 Loss_G: 0.005079 Loss_D_real: -0.010847 Loss_D_fake 0.013711
[795/5000][305/535][81899] Loss_D: -0.021889 Loss_G: 0.024005 Loss_D_real: -0.033095 Loss_D_fake -0.011206
[795/5000][310/535][81900] Loss_D: -0.023502 Loss_G: 0.002309 Loss_D_real: -0.011176 Loss_D_fake 0.012327
[795/5000][315/535][81901] Loss_D: -0.023876 Loss_G: 0.004339 Loss_D_real: -0.020056 Loss_D_fake 0.003820
[795/5000][320/535][81902] Loss_D: -0.022052 Loss_G: -0.008149 Loss_D_real: -0.013875 Loss_D_fake 0.008178
[795/5000][325/535][81903] Loss_D: -0.023110 Loss_G: 0.000288 Loss_D_real: 0.000509 Loss_D_fake 0.023619
[795/5000][330/535][81904] Loss_D: -0.021887 Loss_G: 0.017908 Loss_D_real: -0.026495 Loss_D_fake -0.004607
[795/5000][335/535][81905] Loss_D: -0.022587 Loss_G: 0.023081 Loss_D_real: -0.028358 Loss_D_fake -0.005772
[795/5000][340/535][81906] Loss_D: -0.023332 Loss_G: -0.009334 Loss_D_real: -0.016578 Loss_D_fake 0.006754
[795/5000][345/535][81907] Loss_D: -0.022886 Loss_G: -0.001368 Loss_D_real: -0.012416 Loss_D_fake 0.010470
[795/5000][350/535][81908] Loss_D: -0.021673 Loss_G: -0.014109 Loss_D_real: -0.003885 Loss_D_fake 0.017788
[795/5000][355/535][81909] Loss_D: -0.022046 Loss_G: 0.007049 Loss_D_real: -0.012932 Loss_D_fake 0.009115
[795/5000][360/535][81910] Loss_D: -0.023559 Loss_G: 0.018525 Loss_D_real: -0.021539 Loss_D_fake 0.002021
[795/5000][365/535][81911] Loss_D: -0.023620 Loss_G: 0.005781 Loss_D_real: -0.023991 Loss_D_fake -0.000370
[795/5000][370/535][81912] Loss_D: -0.024915 Loss_G: 0.033976 Loss_D_real: -0.030879 Loss_D_fake -0.005965
[795/5000][375/535][81913] Loss_D: -0.022960 Loss_G: 0.009566 Loss_D_real: -0.014269 Loss_D_fake 0.008691
[795/5000][380/535][81914] Loss_D: -0.023553 Loss_G: 0.001159 Loss_D_real: -0.016073 Loss_D_fake 0.007479
[795/5000][385/535][81915] Loss_D: -0.024418 Loss_G: 0.008963 Loss_D_real: -0.019131 Loss_D_fake 0.005288
[795/5000][390/535][81916] Loss_D: -0.024438 Loss_G: -0.004137 Loss_D_real: -0.009329 Loss_D_fake 0.015109
[795/5000][395/535][81917] Loss_D: -0.023230 Loss_G: -0.003816 Loss_D_real: -0.009491 Loss_D_fake 0.013739
[795/5000][400/535][81918] Loss_D: -0.024139 Loss_G: 0.000265 Loss_D_real: -0.026581 Loss_D_fake -0.002442
[795/5000][405/535][81919] Loss_D: -0.024136 Loss_G: 0.002083 Loss_D_real: -0.020943 Loss_D_fake 0.003193
[795/5000][410/535][81920] Loss_D: -0.024251 Loss_G: 0.023217 Loss_D_real: -0.021739 Loss_D_fake 0.002512
[795/5000][415/535][81921] Loss_D: -0.022116 Loss_G: 0.029440 Loss_D_real: -0.035442 Loss_D_fake -0.013325
[795/5000][420/535][81922] Loss_D: -0.023260 Loss_G: 0.018348 Loss_D_real: -0.019386 Loss_D_fake 0.003873
[795/5000][425/535][81923] Loss_D: -0.022697 Loss_G: 0.001470 Loss_D_real: -0.013342 Loss_D_fake 0.009354
[795/5000][430/535][81924] Loss_D: -0.022944 Loss_G: -0.003144 Loss_D_real: -0.009241 Loss_D_fake 0.013703
[795/5000][435/535][81925] Loss_D: -0.022363 Loss_G: 0.014820 Loss_D_real: -0.018727 Loss_D_fake 0.003637
[795/5000][440/535][81926] Loss_D: -0.022557 Loss_G: -0.004841 Loss_D_real: -0.014046 Loss_D_fake 0.008511
[795/5000][445/535][81927] Loss_D: -0.022225 Loss_G: 0.011317 Loss_D_real: -0.026346 Loss_D_fake -0.004121
[795/5000][450/535][81928] Loss_D: -0.022700 Loss_G: 0.003923 Loss_D_real: -0.014695 Loss_D_fake 0.008006
[795/5000][455/535][81929] Loss_D: -0.023499 Loss_G: 0.005340 Loss_D_real: -0.020117 Loss_D_fake 0.003382
[795/5000][460/535][81930] Loss_D: -0.024291 Loss_G: 0.017029 Loss_D_real: -0.015194 Loss_D_fake 0.009098
[795/5000][465/535][81931] Loss_D: -0.022630 Loss_G: -0.002488 Loss_D_real: -0.006801 Loss_D_fake 0.015829
[795/5000][470/535][81932] Loss_D: -0.022194 Loss_G: -0.010409 Loss_D_real: -0.000654 Loss_D_fake 0.021540
[795/5000][475/535][81933] Loss_D: -0.024026 Loss_G: 0.024056 Loss_D_real: -0.021140 Loss_D_fake 0.002886
[795/5000][480/535][81934] Loss_D: -0.023151 Loss_G: -0.010299 Loss_D_real: -0.009755 Loss_D_fake 0.013396
[795/5000][485/535][81935] Loss_D: -0.023622 Loss_G: 0.016082 Loss_D_real: -0.024874 Loss_D_fake -0.001252
[795/5000][490/535][81936] Loss_D: -0.024224 Loss_G: 0.002239 Loss_D_real: -0.024136 Loss_D_fake 0.000088
[795/5000][495/535][81937] Loss_D: -0.024095 Loss_G: 0.003809 Loss_D_real: -0.011216 Loss_D_fake 0.012879
[795/5000][500/535][81938] Loss_D: -0.024424 Loss_G: 0.007893 Loss_D_real: -0.007358 Loss_D_fake 0.017066
[795/5000][505/535][81939] Loss_D: -0.022700 Loss_G: 0.026403 Loss_D_real: -0.042999 Loss_D_fake -0.020299
[795/5000][510/535][81940] Loss_D: -0.024362 Loss_G: 0.031627 Loss_D_real: -0.021444 Loss_D_fake 0.002918
[795/5000][515/535][81941] Loss_D: -0.023386 Loss_G: -0.017330 Loss_D_real: 0.000119 Loss_D_fake 0.023505
[795/5000][520/535][81942] Loss_D: -0.023750 Loss_G: 0.009976 Loss_D_real: -0.018825 Loss_D_fake 0.004924
[795/5000][525/535][81943] Loss_D: -0.024173 Loss_G: 0.024362 Loss_D_real: -0.026423 Loss_D_fake -0.002250
[795/5000][530/535][81944] Loss_D: -0.023672 Loss_G: -0.010294 Loss_D_real: -0.005350 Loss_D_fake 0.018322
[795/5000][535/535][81945] Loss_D: -0.024627 Loss_G: 0.002735 Loss_D_real: -0.025997 Loss_D_fake -0.001370
[796/5000][5/535][81946] Loss_D: -0.023979 Loss_G: -0.002770 Loss_D_real: -0.017445 Loss_D_fake 0.006534
[796/5000][10/535][81947] Loss_D: -0.024377 Loss_G: -0.003175 Loss_D_real: -0.003614 Loss_D_fake 0.020763
[796/5000][15/535][81948] Loss_D: -0.022225 Loss_G: 0.008163 Loss_D_real: -0.006459 Loss_D_fake 0.015766
[796/5000][20/535][81949] Loss_D: -0.023363 Loss_G: 0.019556 Loss_D_real: -0.027251 Loss_D_fake -0.003888
[796/5000][25/535][81950] Loss_D: -0.022812 Loss_G: -0.011031 Loss_D_real: -0.006439 Loss_D_fake 0.016374
[796/5000][30/535][81951] Loss_D: -0.023154 Loss_G: 0.007487 Loss_D_real: -0.017468 Loss_D_fake 0.005686
[796/5000][35/535][81952] Loss_D: -0.022799 Loss_G: 0.014036 Loss_D_real: -0.016447 Loss_D_fake 0.006352
[796/5000][40/535][81953] Loss_D: -0.022593 Loss_G: 0.025503 Loss_D_real: -0.035471 Loss_D_fake -0.012878
[796/5000][45/535][81954] Loss_D: -0.023503 Loss_G: 0.008722 Loss_D_real: -0.019180 Loss_D_fake 0.004324
[796/5000][50/535][81955] Loss_D: -0.024121 Loss_G: -0.007866 Loss_D_real: -0.002126 Loss_D_fake 0.021995
[796/5000][55/535][81956] Loss_D: -0.024085 Loss_G: 0.014590 Loss_D_real: -0.016037 Loss_D_fake 0.008048
[796/5000][60/535][81957] Loss_D: -0.024353 Loss_G: 0.014977 Loss_D_real: -0.020547 Loss_D_fake 0.003807
[796/5000][65/535][81958] Loss_D: -0.023301 Loss_G: 0.003124 Loss_D_real: -0.022425 Loss_D_fake 0.000876
[796/5000][70/535][81959] Loss_D: -0.024707 Loss_G: -0.003464 Loss_D_real: -0.011887 Loss_D_fake 0.012820
[796/5000][75/535][81960] Loss_D: -0.024521 Loss_G: 0.008400 Loss_D_real: -0.020097 Loss_D_fake 0.004424
[796/5000][80/535][81961] Loss_D: -0.021936 Loss_G: 0.019727 Loss_D_real: -0.030172 Loss_D_fake -0.008236
[796/5000][85/535][81962] Loss_D: -0.023142 Loss_G: 0.028180 Loss_D_real: -0.031029 Loss_D_fake -0.007887
[796/5000][90/535][81963] Loss_D: -0.023730 Loss_G: 0.002994 Loss_D_real: -0.015234 Loss_D_fake 0.008496
[796/5000][95/535][81964] Loss_D: -0.024453 Loss_G: 0.004089 Loss_D_real: -0.023672 Loss_D_fake 0.000782
[796/5000][100/535][81965] Loss_D: -0.024472 Loss_G: 0.011673 Loss_D_real: -0.026040 Loss_D_fake -0.001568
[796/5000][105/535][81966] Loss_D: -0.023514 Loss_G: 0.007955 Loss_D_real: -0.022812 Loss_D_fake 0.000702
[796/5000][110/535][81967] Loss_D: -0.024460 Loss_G: -0.007753 Loss_D_real: -0.006293 Loss_D_fake 0.018167
[796/5000][115/535][81968] Loss_D: -0.023608 Loss_G: 0.001702 Loss_D_real: -0.003735 Loss_D_fake 0.019873
[796/5000][120/535][81969] Loss_D: -0.023848 Loss_G: 0.023187 Loss_D_real: -0.019540 Loss_D_fake 0.004308
[796/5000][125/535][81970] Loss_D: -0.024121 Loss_G: -0.002359 Loss_D_real: -0.011929 Loss_D_fake 0.012192
[796/5000][130/535][81971] Loss_D: -0.023420 Loss_G: 0.009284 Loss_D_real: -0.019308 Loss_D_fake 0.004112
[796/5000][135/535][81972] Loss_D: -0.023822 Loss_G: 0.005194 Loss_D_real: -0.011981 Loss_D_fake 0.011841
[796/5000][140/535][81973] Loss_D: -0.024639 Loss_G: 0.024652 Loss_D_real: -0.023788 Loss_D_fake 0.000851
[796/5000][145/535][81974] Loss_D: -0.022534 Loss_G: 0.006746 Loss_D_real: -0.020730 Loss_D_fake 0.001804
[796/5000][150/535][81975] Loss_D: -0.023018 Loss_G: 0.001299 Loss_D_real: -0.019787 Loss_D_fake 0.003231
[796/5000][155/535][81976] Loss_D: -0.023014 Loss_G: -0.004327 Loss_D_real: -0.002961 Loss_D_fake 0.020053
[796/5000][160/535][81977] Loss_D: -0.022902 Loss_G: 0.016026 Loss_D_real: -0.021387 Loss_D_fake 0.001515
[796/5000][165/535][81978] Loss_D: -0.023922 Loss_G: 0.011154 Loss_D_real: -0.016715 Loss_D_fake 0.007207
[796/5000][170/535][81979] Loss_D: -0.024453 Loss_G: 0.015678 Loss_D_real: -0.012786 Loss_D_fake 0.011667
[796/5000][175/535][81980] Loss_D: -0.024696 Loss_G: 0.002549 Loss_D_real: -0.007739 Loss_D_fake 0.016957
[796/5000][180/535][81981] Loss_D: -0.022812 Loss_G: 0.018937 Loss_D_real: -0.031790 Loss_D_fake -0.008978
[796/5000][185/535][81982] Loss_D: -0.023291 Loss_G: 0.009921 Loss_D_real: -0.021538 Loss_D_fake 0.001753
[796/5000][190/535][81983] Loss_D: -0.024455 Loss_G: 0.020788 Loss_D_real: -0.027724 Loss_D_fake -0.003268
[796/5000][195/535][81984] Loss_D: -0.023949 Loss_G: -0.001632 Loss_D_real: -0.018052 Loss_D_fake 0.005897
[796/5000][200/535][81985] Loss_D: -0.022474 Loss_G: 0.022451 Loss_D_real: -0.030091 Loss_D_fake -0.007617
[796/5000][205/535][81986] Loss_D: -0.025605 Loss_G: 0.014336 Loss_D_real: -0.024193 Loss_D_fake 0.001411
[796/5000][210/535][81987] Loss_D: -0.023829 Loss_G: 0.028217 Loss_D_real: -0.034462 Loss_D_fake -0.010633
[796/5000][215/535][81988] Loss_D: -0.025283 Loss_G: 0.018075 Loss_D_real: -0.015743 Loss_D_fake 0.009539
[796/5000][220/535][81989] Loss_D: -0.023975 Loss_G: 0.008078 Loss_D_real: -0.013979 Loss_D_fake 0.009996
[796/5000][225/535][81990] Loss_D: -0.024481 Loss_G: 0.009408 Loss_D_real: -0.016976 Loss_D_fake 0.007505
[796/5000][230/535][81991] Loss_D: -0.025190 Loss_G: 0.004951 Loss_D_real: -0.017311 Loss_D_fake 0.007879
[796/5000][235/535][81992] Loss_D: -0.024365 Loss_G: 0.028537 Loss_D_real: -0.029083 Loss_D_fake -0.004718
[796/5000][240/535][81993] Loss_D: -0.023980 Loss_G: 0.021150 Loss_D_real: -0.035162 Loss_D_fake -0.011182
[796/5000][245/535][81994] Loss_D: -0.025127 Loss_G: -0.003935 Loss_D_real: -0.012709 Loss_D_fake 0.012418
[796/5000][250/535][81995] Loss_D: -0.024613 Loss_G: 0.014649 Loss_D_real: -0.022353 Loss_D_fake 0.002260
[796/5000][255/535][81996] Loss_D: -0.023575 Loss_G: -0.008558 Loss_D_real: -0.002143 Loss_D_fake 0.021431
[796/5000][260/535][81997] Loss_D: -0.023169 Loss_G: 0.018355 Loss_D_real: -0.030539 Loss_D_fake -0.007369
[796/5000][265/535][81998] Loss_D: -0.025045 Loss_G: 0.006689 Loss_D_real: -0.014299 Loss_D_fake 0.010746
[796/5000][270/535][81999] Loss_D: -0.024728 Loss_G: 0.002953 Loss_D_real: -0.027476 Loss_D_fake -0.002748
[796/5000][275/535][82000] Loss_D: -0.025790 Loss_G: 0.013980 Loss_D_real: -0.011746 Loss_D_fake 0.014044
[796/5000][375/535][82001] Loss_D: -0.030393 Loss_G: 0.003715 Loss_D_real: -0.017406 Loss_D_fake 0.012988
[796/5000][380/535][82002] Loss_D: -0.023165 Loss_G: 0.008271 Loss_D_real: -0.020114 Loss_D_fake 0.003051
[796/5000][385/535][82003] Loss_D: -0.021848 Loss_G: -0.001110 Loss_D_real: -0.015698 Loss_D_fake 0.006150
[796/5000][390/535][82004] Loss_D: -0.020838 Loss_G: 0.003636 Loss_D_real: -0.017485 Loss_D_fake 0.003353
[796/5000][395/535][82005] Loss_D: -0.022384 Loss_G: -0.000881 Loss_D_real: -0.025896 Loss_D_fake -0.003512
[796/5000][400/535][82006] Loss_D: -0.022670 Loss_G: 0.021519 Loss_D_real: -0.026493 Loss_D_fake -0.003823
[796/5000][405/535][82007] Loss_D: -0.021561 Loss_G: 0.020831 Loss_D_real: -0.024099 Loss_D_fake -0.002537
[796/5000][410/535][82008] Loss_D: -0.023593 Loss_G: 0.011961 Loss_D_real: -0.018830 Loss_D_fake 0.004763
[796/5000][415/535][82009] Loss_D: -0.023112 Loss_G: 0.002620 Loss_D_real: -0.018675 Loss_D_fake 0.004438
[796/5000][420/535][82010] Loss_D: -0.023222 Loss_G: 0.008469 Loss_D_real: -0.018059 Loss_D_fake 0.005163
[796/5000][425/535][82011] Loss_D: -0.023018 Loss_G: 0.000416 Loss_D_real: 0.001139 Loss_D_fake 0.024156
[796/5000][430/535][82012] Loss_D: -0.021188 Loss_G: 0.008393 Loss_D_real: -0.017219 Loss_D_fake 0.003969
[796/5000][435/535][82013] Loss_D: -0.020959 Loss_G: 0.013650 Loss_D_real: -0.015010 Loss_D_fake 0.005949
[796/5000][440/535][82014] Loss_D: -0.022741 Loss_G: 0.003612 Loss_D_real: -0.019317 Loss_D_fake 0.003424
[796/5000][445/535][82015] Loss_D: -0.022950 Loss_G: -0.002277 Loss_D_real: -0.015230 Loss_D_fake 0.007720
[796/5000][450/535][82016] Loss_D: -0.022574 Loss_G: -0.001827 Loss_D_real: -0.009575 Loss_D_fake 0.012999
[796/5000][455/535][82017] Loss_D: -0.022835 Loss_G: 0.017045 Loss_D_real: -0.024532 Loss_D_fake -0.001697
[796/5000][460/535][82018] Loss_D: -0.023413 Loss_G: 0.011887 Loss_D_real: -0.013178 Loss_D_fake 0.010235
[796/5000][465/535][82019] Loss_D: -0.022725 Loss_G: -0.007616 Loss_D_real: -0.009225 Loss_D_fake 0.013500
[796/5000][470/535][82020] Loss_D: -0.023580 Loss_G: 0.022516 Loss_D_real: -0.027614 Loss_D_fake -0.004034
[796/5000][475/535][82021] Loss_D: -0.025168 Loss_G: 0.007646 Loss_D_real: -0.027339 Loss_D_fake -0.002171
[796/5000][480/535][82022] Loss_D: -0.024220 Loss_G: 0.022963 Loss_D_real: -0.017585 Loss_D_fake 0.006636
[796/5000][485/535][82023] Loss_D: -0.023583 Loss_G: 0.007284 Loss_D_real: -0.023412 Loss_D_fake 0.000171
[796/5000][490/535][82024] Loss_D: -0.023002 Loss_G: -0.007077 Loss_D_real: 0.007166 Loss_D_fake 0.030168
[796/5000][495/535][82025] Loss_D: -0.022169 Loss_G: 0.011901 Loss_D_real: -0.017379 Loss_D_fake 0.004790
[796/5000][500/535][82026] Loss_D: -0.023963 Loss_G: -0.013125 Loss_D_real: -0.006383 Loss_D_fake 0.017581
[796/5000][505/535][82027] Loss_D: -0.024051 Loss_G: 0.025820 Loss_D_real: -0.022993 Loss_D_fake 0.001058
[796/5000][510/535][82028] Loss_D: -0.022943 Loss_G: 0.021550 Loss_D_real: -0.027513 Loss_D_fake -0.004570
[796/5000][515/535][82029] Loss_D: -0.022543 Loss_G: 0.024334 Loss_D_real: -0.039674 Loss_D_fake -0.017131
[796/5000][520/535][82030] Loss_D: -0.023593 Loss_G: -0.006974 Loss_D_real: -0.010568 Loss_D_fake 0.013025
[796/5000][525/535][82031] Loss_D: -0.023596 Loss_G: 0.017879 Loss_D_real: -0.013427 Loss_D_fake 0.010169
[796/5000][530/535][82032] Loss_D: -0.023299 Loss_G: -0.001026 Loss_D_real: -0.026843 Loss_D_fake -0.003543
[796/5000][535/535][82033] Loss_D: -0.023566 Loss_G: 0.008298 Loss_D_real: -0.019354 Loss_D_fake 0.004212
[797/5000][5/535][82034] Loss_D: -0.023349 Loss_G: 0.018753 Loss_D_real: -0.026432 Loss_D_fake -0.003083
[797/5000][10/535][82035] Loss_D: -0.022645 Loss_G: 0.010482 Loss_D_real: -0.021087 Loss_D_fake 0.001558
[797/5000][15/535][82036] Loss_D: -0.022898 Loss_G: 0.002143 Loss_D_real: -0.020845 Loss_D_fake 0.002054
[797/5000][20/535][82037] Loss_D: -0.023497 Loss_G: 0.011984 Loss_D_real: -0.015817 Loss_D_fake 0.007680
[797/5000][25/535][82038] Loss_D: -0.023448 Loss_G: 0.014457 Loss_D_real: -0.017811 Loss_D_fake 0.005637
[797/5000][30/535][82039] Loss_D: -0.023180 Loss_G: -0.000680 Loss_D_real: -0.015097 Loss_D_fake 0.008083
[797/5000][35/535][82040] Loss_D: -0.024277 Loss_G: 0.019211 Loss_D_real: -0.018243 Loss_D_fake 0.006034
[797/5000][40/535][82041] Loss_D: -0.022906 Loss_G: -0.012250 Loss_D_real: -0.015766 Loss_D_fake 0.007140
[797/5000][45/535][82042] Loss_D: -0.022913 Loss_G: 0.027690 Loss_D_real: -0.028031 Loss_D_fake -0.005118
[797/5000][50/535][82043] Loss_D: -0.023610 Loss_G: 0.010394 Loss_D_real: -0.010908 Loss_D_fake 0.012702
[797/5000][55/535][82044] Loss_D: -0.022938 Loss_G: -0.003312 Loss_D_real: -0.001583 Loss_D_fake 0.021355
[797/5000][60/535][82045] Loss_D: -0.024676 Loss_G: 0.003292 Loss_D_real: -0.004271 Loss_D_fake 0.020405
[797/5000][65/535][82046] Loss_D: -0.023425 Loss_G: -0.012371 Loss_D_real: -0.007896 Loss_D_fake 0.015529
[797/5000][70/535][82047] Loss_D: -0.023928 Loss_G: 0.024455 Loss_D_real: -0.020486 Loss_D_fake 0.003442
[797/5000][75/535][82048] Loss_D: -0.023389 Loss_G: 0.004468 Loss_D_real: -0.026516 Loss_D_fake -0.003127
[797/5000][80/535][82049] Loss_D: -0.025086 Loss_G: 0.007395 Loss_D_real: -0.013825 Loss_D_fake 0.011261
[797/5000][85/535][82050] Loss_D: -0.023609 Loss_G: -0.000203 Loss_D_real: -0.012676 Loss_D_fake 0.010933
[797/5000][90/535][82051] Loss_D: -0.023925 Loss_G: 0.012182 Loss_D_real: -0.022859 Loss_D_fake 0.001066
[797/5000][95/535][82052] Loss_D: -0.024678 Loss_G: 0.012182 Loss_D_real: -0.017810 Loss_D_fake 0.006868
[797/5000][100/535][82053] Loss_D: -0.024138 Loss_G: 0.011623 Loss_D_real: -0.015232 Loss_D_fake 0.008905
[797/5000][105/535][82054] Loss_D: -0.023694 Loss_G: -0.022510 Loss_D_real: 0.006702 Loss_D_fake 0.030397
[797/5000][110/535][82055] Loss_D: -0.023296 Loss_G: 0.007747 Loss_D_real: -0.013975 Loss_D_fake 0.009321
[797/5000][115/535][82056] Loss_D: -0.023544 Loss_G: 0.019005 Loss_D_real: -0.021184 Loss_D_fake 0.002360
[797/5000][120/535][82057] Loss_D: -0.023550 Loss_G: 0.004609 Loss_D_real: -0.024147 Loss_D_fake -0.000597
[797/5000][125/535][82058] Loss_D: -0.022845 Loss_G: 0.007938 Loss_D_real: -0.018367 Loss_D_fake 0.004478
[797/5000][130/535][82059] Loss_D: -0.023187 Loss_G: 0.007597 Loss_D_real: -0.019938 Loss_D_fake 0.003249
[797/5000][135/535][82060] Loss_D: -0.023948 Loss_G: 0.002847 Loss_D_real: -0.021834 Loss_D_fake 0.002114
[797/5000][140/535][82061] Loss_D: -0.023558 Loss_G: -0.013532 Loss_D_real: -0.004166 Loss_D_fake 0.019392
[797/5000][145/535][82062] Loss_D: -0.024000 Loss_G: 0.015247 Loss_D_real: -0.027362 Loss_D_fake -0.003362
[797/5000][150/535][82063] Loss_D: -0.022932 Loss_G: 0.005817 Loss_D_real: -0.019721 Loss_D_fake 0.003210
[797/5000][155/535][82064] Loss_D: -0.023554 Loss_G: 0.023819 Loss_D_real: -0.028708 Loss_D_fake -0.005153
[797/5000][160/535][82065] Loss_D: -0.022954 Loss_G: -0.013432 Loss_D_real: -0.009173 Loss_D_fake 0.013782
[797/5000][165/535][82066] Loss_D: -0.025089 Loss_G: -0.002545 Loss_D_real: -0.010057 Loss_D_fake 0.015032
[797/5000][170/535][82067] Loss_D: -0.023221 Loss_G: 0.002163 Loss_D_real: -0.012389 Loss_D_fake 0.010831
[797/5000][175/535][82068] Loss_D: -0.024510 Loss_G: -0.008127 Loss_D_real: -0.019587 Loss_D_fake 0.004924
[797/5000][180/535][82069] Loss_D: -0.023716 Loss_G: 0.018488 Loss_D_real: -0.025573 Loss_D_fake -0.001857
[797/5000][185/535][82070] Loss_D: -0.023050 Loss_G: 0.020564 Loss_D_real: -0.019493 Loss_D_fake 0.003557
[797/5000][190/535][82071] Loss_D: -0.023338 Loss_G: 0.014910 Loss_D_real: -0.017257 Loss_D_fake 0.006081
[797/5000][195/535][82072] Loss_D: -0.023823 Loss_G: 0.015395 Loss_D_real: -0.021909 Loss_D_fake 0.001913
[797/5000][200/535][82073] Loss_D: -0.023186 Loss_G: -0.019617 Loss_D_real: -0.005096 Loss_D_fake 0.018090
[797/5000][205/535][82074] Loss_D: -0.023258 Loss_G: 0.012517 Loss_D_real: -0.022060 Loss_D_fake 0.001198
[797/5000][210/535][82075] Loss_D: -0.022563 Loss_G: -0.000602 Loss_D_real: -0.005338 Loss_D_fake 0.017225
[797/5000][215/535][82076] Loss_D: -0.023609 Loss_G: 0.019714 Loss_D_real: -0.023592 Loss_D_fake 0.000018
[797/5000][220/535][82077] Loss_D: -0.023749 Loss_G: 0.016675 Loss_D_real: -0.027798 Loss_D_fake -0.004049
[797/5000][225/535][82078] Loss_D: -0.022761 Loss_G: 0.015308 Loss_D_real: -0.028091 Loss_D_fake -0.005330
[797/5000][230/535][82079] Loss_D: -0.022578 Loss_G: 0.001097 Loss_D_real: -0.020416 Loss_D_fake 0.002162
[797/5000][235/535][82080] Loss_D: -0.022656 Loss_G: 0.035783 Loss_D_real: -0.034564 Loss_D_fake -0.011908
[797/5000][240/535][82081] Loss_D: -0.023525 Loss_G: -0.008295 Loss_D_real: -0.016332 Loss_D_fake 0.007193
[797/5000][245/535][82082] Loss_D: -0.023311 Loss_G: 0.007310 Loss_D_real: -0.015983 Loss_D_fake 0.007328
[797/5000][250/535][82083] Loss_D: -0.023344 Loss_G: -0.001137 Loss_D_real: -0.013149 Loss_D_fake 0.010195
[797/5000][255/535][82084] Loss_D: -0.023094 Loss_G: 0.010130 Loss_D_real: -0.016577 Loss_D_fake 0.006517
[797/5000][260/535][82085] Loss_D: -0.023028 Loss_G: 0.006850 Loss_D_real: -0.020181 Loss_D_fake 0.002847
[797/5000][265/535][82086] Loss_D: -0.023137 Loss_G: 0.014966 Loss_D_real: -0.024944 Loss_D_fake -0.001807
[797/5000][270/535][82087] Loss_D: -0.022316 Loss_G: 0.029833 Loss_D_real: -0.029420 Loss_D_fake -0.007104
[797/5000][275/535][82088] Loss_D: -0.022639 Loss_G: 0.012083 Loss_D_real: -0.031614 Loss_D_fake -0.008976
[797/5000][280/535][82089] Loss_D: -0.023212 Loss_G: 0.025586 Loss_D_real: -0.027581 Loss_D_fake -0.004368
[797/5000][285/535][82090] Loss_D: -0.025051 Loss_G: 0.002409 Loss_D_real: -0.014388 Loss_D_fake 0.010662
[797/5000][290/535][82091] Loss_D: -0.023899 Loss_G: 0.022256 Loss_D_real: -0.022371 Loss_D_fake 0.001528
[797/5000][295/535][82092] Loss_D: -0.024571 Loss_G: 0.016172 Loss_D_real: -0.022816 Loss_D_fake 0.001755
[797/5000][300/535][82093] Loss_D: -0.024813 Loss_G: 0.017455 Loss_D_real: -0.029962 Loss_D_fake -0.005150
[797/5000][305/535][82094] Loss_D: -0.023108 Loss_G: -0.005239 Loss_D_real: -0.007402 Loss_D_fake 0.015706
[797/5000][310/535][82095] Loss_D: -0.023302 Loss_G: 0.008544 Loss_D_real: -0.020491 Loss_D_fake 0.002811
[797/5000][315/535][82096] Loss_D: -0.023793 Loss_G: 0.022241 Loss_D_real: -0.025710 Loss_D_fake -0.001917
[797/5000][320/535][82097] Loss_D: -0.023879 Loss_G: 0.016148 Loss_D_real: -0.027499 Loss_D_fake -0.003620
[797/5000][325/535][82098] Loss_D: -0.025421 Loss_G: 0.017059 Loss_D_real: -0.026414 Loss_D_fake -0.000993
[797/5000][330/535][82099] Loss_D: -0.023558 Loss_G: 0.013214 Loss_D_real: -0.026659 Loss_D_fake -0.003101
[797/5000][335/535][82100] Loss_D: -0.023817 Loss_G: 0.020979 Loss_D_real: -0.029152 Loss_D_fake -0.005335
[797/5000][340/535][82101] Loss_D: -0.023833 Loss_G: 0.011162 Loss_D_real: -0.016311 Loss_D_fake 0.007522
[797/5000][345/535][82102] Loss_D: -0.025092 Loss_G: -0.005039 Loss_D_real: -0.013436 Loss_D_fake 0.011655
[797/5000][350/535][82103] Loss_D: -0.023716 Loss_G: 0.006447 Loss_D_real: -0.013542 Loss_D_fake 0.010174
[797/5000][355/535][82104] Loss_D: -0.023326 Loss_G: 0.020712 Loss_D_real: -0.017125 Loss_D_fake 0.006201
[797/5000][360/535][82105] Loss_D: -0.024102 Loss_G: 0.003658 Loss_D_real: -0.021802 Loss_D_fake 0.002301
[797/5000][365/535][82106] Loss_D: -0.023588 Loss_G: 0.014363 Loss_D_real: -0.019874 Loss_D_fake 0.003714
[797/5000][370/535][82107] Loss_D: -0.023370 Loss_G: 0.011650 Loss_D_real: -0.019831 Loss_D_fake 0.003539
[797/5000][375/535][82108] Loss_D: -0.023185 Loss_G: 0.017033 Loss_D_real: -0.029658 Loss_D_fake -0.006473
[797/5000][380/535][82109] Loss_D: -0.023319 Loss_G: -0.000314 Loss_D_real: -0.010294 Loss_D_fake 0.013025
[797/5000][385/535][82110] Loss_D: -0.022429 Loss_G: 0.020055 Loss_D_real: -0.031359 Loss_D_fake -0.008930
[797/5000][390/535][82111] Loss_D: -0.023749 Loss_G: -0.012064 Loss_D_real: -0.005976 Loss_D_fake 0.017772
[797/5000][395/535][82112] Loss_D: -0.023263 Loss_G: 0.007924 Loss_D_real: -0.018182 Loss_D_fake 0.005081
[797/5000][400/535][82113] Loss_D: -0.023847 Loss_G: 0.011789 Loss_D_real: -0.020763 Loss_D_fake 0.003084
[797/5000][405/535][82114] Loss_D: -0.022791 Loss_G: 0.008147 Loss_D_real: -0.013641 Loss_D_fake 0.009150
[797/5000][410/535][82115] Loss_D: -0.023168 Loss_G: -0.006814 Loss_D_real: -0.012270 Loss_D_fake 0.010897
[797/5000][415/535][82116] Loss_D: -0.023422 Loss_G: 0.027951 Loss_D_real: -0.028674 Loss_D_fake -0.005252
[797/5000][420/535][82117] Loss_D: -0.023125 Loss_G: 0.002593 Loss_D_real: -0.020516 Loss_D_fake 0.002608
[797/5000][425/535][82118] Loss_D: -0.023194 Loss_G: 0.018459 Loss_D_real: -0.023475 Loss_D_fake -0.000280
[797/5000][430/535][82119] Loss_D: -0.022913 Loss_G: -0.001504 Loss_D_real: -0.016864 Loss_D_fake 0.006049
[797/5000][435/535][82120] Loss_D: -0.023129 Loss_G: 0.011127 Loss_D_real: -0.031288 Loss_D_fake -0.008159
[797/5000][440/535][82121] Loss_D: -0.024211 Loss_G: 0.028606 Loss_D_real: -0.024517 Loss_D_fake -0.000306
[797/5000][445/535][82122] Loss_D: -0.023306 Loss_G: 0.020365 Loss_D_real: -0.029301 Loss_D_fake -0.005996
[797/5000][450/535][82123] Loss_D: -0.024340 Loss_G: 0.019524 Loss_D_real: -0.018016 Loss_D_fake 0.006324
[797/5000][455/535][82124] Loss_D: -0.025140 Loss_G: 0.016400 Loss_D_real: -0.022023 Loss_D_fake 0.003117
[797/5000][460/535][82125] Loss_D: -0.023355 Loss_G: -0.008253 Loss_D_real: -0.003339 Loss_D_fake 0.020016
[797/5000][465/535][82126] Loss_D: -0.023971 Loss_G: 0.009378 Loss_D_real: -0.024848 Loss_D_fake -0.000878
[797/5000][470/535][82127] Loss_D: -0.023775 Loss_G: 0.008494 Loss_D_real: -0.019514 Loss_D_fake 0.004261
[797/5000][475/535][82128] Loss_D: -0.023374 Loss_G: 0.009242 Loss_D_real: -0.014484 Loss_D_fake 0.008891
[797/5000][480/535][82129] Loss_D: -0.023571 Loss_G: -0.005957 Loss_D_real: -0.007649 Loss_D_fake 0.015922
[797/5000][485/535][82130] Loss_D: -0.022751 Loss_G: 0.016784 Loss_D_real: -0.010124 Loss_D_fake 0.012627
[797/5000][490/535][82131] Loss_D: -0.021391 Loss_G: 0.020428 Loss_D_real: -0.025122 Loss_D_fake -0.003731
[797/5000][495/535][82132] Loss_D: -0.021249 Loss_G: -0.016826 Loss_D_real: -0.004739 Loss_D_fake 0.016510
[797/5000][500/535][82133] Loss_D: -0.022910 Loss_G: 0.011622 Loss_D_real: -0.024408 Loss_D_fake -0.001498
[797/5000][505/535][82134] Loss_D: -0.024406 Loss_G: 0.016157 Loss_D_real: -0.026776 Loss_D_fake -0.002370
[797/5000][510/535][82135] Loss_D: -0.023558 Loss_G: -0.007315 Loss_D_real: -0.001517 Loss_D_fake 0.022041
[797/5000][515/535][82136] Loss_D: -0.021445 Loss_G: 0.021913 Loss_D_real: -0.031628 Loss_D_fake -0.010183
[797/5000][520/535][82137] Loss_D: -0.023000 Loss_G: 0.028433 Loss_D_real: -0.034693 Loss_D_fake -0.011693
[797/5000][525/535][82138] Loss_D: -0.023795 Loss_G: 0.001958 Loss_D_real: -0.001013 Loss_D_fake 0.022782
[797/5000][530/535][82139] Loss_D: -0.023756 Loss_G: 0.020213 Loss_D_real: -0.021699 Loss_D_fake 0.002057
[797/5000][535/535][82140] Loss_D: -0.024396 Loss_G: -0.004624 Loss_D_real: -0.012971 Loss_D_fake 0.011426
[798/5000][5/535][82141] Loss_D: -0.022966 Loss_G: 0.010039 Loss_D_real: -0.021870 Loss_D_fake 0.001095
[798/5000][10/535][82142] Loss_D: -0.023039 Loss_G: 0.015877 Loss_D_real: -0.026897 Loss_D_fake -0.003858
[798/5000][15/535][82143] Loss_D: -0.025390 Loss_G: 0.012944 Loss_D_real: -0.016191 Loss_D_fake 0.009199
[798/5000][20/535][82144] Loss_D: -0.022364 Loss_G: 0.002315 Loss_D_real: -0.027205 Loss_D_fake -0.004841
[798/5000][25/535][82145] Loss_D: -0.024661 Loss_G: 0.014444 Loss_D_real: -0.022880 Loss_D_fake 0.001780
[798/5000][30/535][82146] Loss_D: -0.023539 Loss_G: 0.002294 Loss_D_real: -0.015883 Loss_D_fake 0.007656
[798/5000][35/535][82147] Loss_D: -0.023426 Loss_G: 0.011236 Loss_D_real: -0.020723 Loss_D_fake 0.002703
[798/5000][40/535][82148] Loss_D: -0.023229 Loss_G: 0.015389 Loss_D_real: -0.032570 Loss_D_fake -0.009341
[798/5000][45/535][82149] Loss_D: -0.022426 Loss_G: 0.022978 Loss_D_real: -0.033375 Loss_D_fake -0.010949
[798/5000][50/535][82150] Loss_D: -0.022748 Loss_G: 0.013410 Loss_D_real: -0.023079 Loss_D_fake -0.000330
[798/5000][55/535][82151] Loss_D: -0.023846 Loss_G: 0.025611 Loss_D_real: -0.021224 Loss_D_fake 0.002622
[798/5000][60/535][82152] Loss_D: -0.024474 Loss_G: -0.004633 Loss_D_real: -0.003765 Loss_D_fake 0.020710
[798/5000][65/535][82153] Loss_D: -0.023320 Loss_G: 0.001825 Loss_D_real: -0.004278 Loss_D_fake 0.019041
[798/5000][70/535][82154] Loss_D: -0.023179 Loss_G: 0.007824 Loss_D_real: -0.009907 Loss_D_fake 0.013273
[798/5000][75/535][82155] Loss_D: -0.024375 Loss_G: -0.005078 Loss_D_real: -0.021975 Loss_D_fake 0.002400
[798/5000][80/535][82156] Loss_D: -0.021670 Loss_G: -0.009329 Loss_D_real: -0.016143 Loss_D_fake 0.005527
[798/5000][85/535][82157] Loss_D: -0.022608 Loss_G: 0.001446 Loss_D_real: -0.014158 Loss_D_fake 0.008450
[798/5000][90/535][82158] Loss_D: -0.022009 Loss_G: 0.023461 Loss_D_real: -0.025964 Loss_D_fake -0.003955
[798/5000][95/535][82159] Loss_D: -0.023069 Loss_G: 0.004747 Loss_D_real: -0.018296 Loss_D_fake 0.004772
[798/5000][100/535][82160] Loss_D: -0.022158 Loss_G: -0.015261 Loss_D_real: 0.002549 Loss_D_fake 0.024707
[798/5000][105/535][82161] Loss_D: -0.023807 Loss_G: 0.011260 Loss_D_real: -0.020349 Loss_D_fake 0.003458
[798/5000][110/535][82162] Loss_D: -0.023326 Loss_G: 0.018991 Loss_D_real: -0.023985 Loss_D_fake -0.000658
[798/5000][115/535][82163] Loss_D: -0.022255 Loss_G: 0.016367 Loss_D_real: -0.030192 Loss_D_fake -0.007938
[798/5000][120/535][82164] Loss_D: -0.023908 Loss_G: -0.003079 Loss_D_real: -0.016802 Loss_D_fake 0.007105
[798/5000][125/535][82165] Loss_D: -0.024380 Loss_G: 0.017826 Loss_D_real: -0.030278 Loss_D_fake -0.005898
[798/5000][130/535][82166] Loss_D: -0.023425 Loss_G: 0.007340 Loss_D_real: -0.016620 Loss_D_fake 0.006805
[798/5000][135/535][82167] Loss_D: -0.023814 Loss_G: 0.009712 Loss_D_real: -0.015654 Loss_D_fake 0.008160
[798/5000][140/535][82168] Loss_D: -0.021735 Loss_G: 0.029664 Loss_D_real: -0.031036 Loss_D_fake -0.009300
[798/5000][145/535][82169] Loss_D: -0.023556 Loss_G: 0.018466 Loss_D_real: -0.027414 Loss_D_fake -0.003858
[798/5000][150/535][82170] Loss_D: -0.024587 Loss_G: 0.001017 Loss_D_real: -0.017415 Loss_D_fake 0.007171
[798/5000][155/535][82171] Loss_D: -0.024396 Loss_G: -0.021037 Loss_D_real: -0.008872 Loss_D_fake 0.015524
[798/5000][160/535][82172] Loss_D: -0.021787 Loss_G: 0.012832 Loss_D_real: -0.012884 Loss_D_fake 0.008903
[798/5000][165/535][82173] Loss_D: -0.024317 Loss_G: 0.009060 Loss_D_real: -0.019545 Loss_D_fake 0.004773
[798/5000][170/535][82174] Loss_D: -0.024227 Loss_G: 0.000279 Loss_D_real: -0.017185 Loss_D_fake 0.007042
[798/5000][175/535][82175] Loss_D: -0.021307 Loss_G: 0.008771 Loss_D_real: -0.026240 Loss_D_fake -0.004933
[798/5000][180/535][82176] Loss_D: -0.025524 Loss_G: 0.006163 Loss_D_real: -0.013635 Loss_D_fake 0.011889
[798/5000][185/535][82177] Loss_D: -0.023093 Loss_G: -0.013529 Loss_D_real: -0.002630 Loss_D_fake 0.020463
[798/5000][190/535][82178] Loss_D: -0.023065 Loss_G: 0.014708 Loss_D_real: -0.017785 Loss_D_fake 0.005280
[798/5000][195/535][82179] Loss_D: -0.024229 Loss_G: 0.009474 Loss_D_real: -0.012427 Loss_D_fake 0.011802
[798/5000][200/535][82180] Loss_D: -0.022902 Loss_G: 0.032076 Loss_D_real: -0.036500 Loss_D_fake -0.013598
[798/5000][205/535][82181] Loss_D: -0.023199 Loss_G: -0.000302 Loss_D_real: -0.004441 Loss_D_fake 0.018758
[798/5000][210/535][82182] Loss_D: -0.024922 Loss_G: 0.008073 Loss_D_real: -0.031632 Loss_D_fake -0.006710
[798/5000][215/535][82183] Loss_D: -0.023799 Loss_G: 0.011279 Loss_D_real: -0.024231 Loss_D_fake -0.000432
[798/5000][220/535][82184] Loss_D: -0.024773 Loss_G: -0.001984 Loss_D_real: -0.009201 Loss_D_fake 0.015572
[798/5000][225/535][82185] Loss_D: -0.024056 Loss_G: -0.011167 Loss_D_real: -0.006422 Loss_D_fake 0.017635
[798/5000][230/535][82186] Loss_D: -0.022882 Loss_G: -0.016514 Loss_D_real: -0.007150 Loss_D_fake 0.015732
[798/5000][235/535][82187] Loss_D: -0.021483 Loss_G: 0.018619 Loss_D_real: -0.032550 Loss_D_fake -0.011067
[798/5000][240/535][82188] Loss_D: -0.024839 Loss_G: 0.012779 Loss_D_real: -0.020319 Loss_D_fake 0.004520
[798/5000][245/535][82189] Loss_D: -0.022445 Loss_G: -0.017751 Loss_D_real: 0.001579 Loss_D_fake 0.024024
[798/5000][250/535][82190] Loss_D: -0.022710 Loss_G: -0.007624 Loss_D_real: 0.000458 Loss_D_fake 0.023168
[798/5000][255/535][82191] Loss_D: -0.023669 Loss_G: 0.017825 Loss_D_real: -0.019459 Loss_D_fake 0.004210
[798/5000][260/535][82192] Loss_D: -0.023843 Loss_G: 0.001964 Loss_D_real: -0.017011 Loss_D_fake 0.006832
[798/5000][265/535][82193] Loss_D: -0.022661 Loss_G: 0.028292 Loss_D_real: -0.022090 Loss_D_fake 0.000572
[798/5000][270/535][82194] Loss_D: -0.023649 Loss_G: 0.016638 Loss_D_real: -0.024908 Loss_D_fake -0.001259
[798/5000][275/535][82195] Loss_D: -0.022134 Loss_G: 0.023227 Loss_D_real: -0.028134 Loss_D_fake -0.006000
[798/5000][280/535][82196] Loss_D: -0.023863 Loss_G: 0.005144 Loss_D_real: -0.011788 Loss_D_fake 0.012075
[798/5000][285/535][82197] Loss_D: -0.021943 Loss_G: 0.012363 Loss_D_real: -0.035757 Loss_D_fake -0.013814
[798/5000][290/535][82198] Loss_D: -0.023453 Loss_G: -0.005523 Loss_D_real: -0.003565 Loss_D_fake 0.019888
[798/5000][295/535][82199] Loss_D: -0.023363 Loss_G: 0.019708 Loss_D_real: -0.020672 Loss_D_fake 0.002691
[798/5000][300/535][82200] Loss_D: -0.022646 Loss_G: 0.001414 Loss_D_real: -0.007371 Loss_D_fake 0.015275
[798/5000][305/535][82201] Loss_D: -0.022803 Loss_G: 0.011804 Loss_D_real: -0.007414 Loss_D_fake 0.015388
[798/5000][310/535][82202] Loss_D: -0.023895 Loss_G: 0.000125 Loss_D_real: -0.019527 Loss_D_fake 0.004368
[798/5000][315/535][82203] Loss_D: -0.023861 Loss_G: 0.027351 Loss_D_real: -0.024442 Loss_D_fake -0.000582
[798/5000][320/535][82204] Loss_D: -0.023416 Loss_G: 0.000758 Loss_D_real: -0.006576 Loss_D_fake 0.016840
[798/5000][325/535][82205] Loss_D: -0.022822 Loss_G: 0.017892 Loss_D_real: -0.027150 Loss_D_fake -0.004327
[798/5000][330/535][82206] Loss_D: -0.024295 Loss_G: 0.004047 Loss_D_real: -0.020596 Loss_D_fake 0.003698
[798/5000][335/535][82207] Loss_D: -0.024784 Loss_G: 0.010923 Loss_D_real: -0.015550 Loss_D_fake 0.009235
[798/5000][340/535][82208] Loss_D: -0.023986 Loss_G: -0.000717 Loss_D_real: -0.012165 Loss_D_fake 0.011821
[798/5000][345/535][82209] Loss_D: -0.024728 Loss_G: 0.002485 Loss_D_real: -0.008367 Loss_D_fake 0.016361
[798/5000][350/535][82210] Loss_D: -0.024522 Loss_G: 0.019074 Loss_D_real: -0.012780 Loss_D_fake 0.011741
[798/5000][355/535][82211] Loss_D: -0.024090 Loss_G: 0.016494 Loss_D_real: -0.024842 Loss_D_fake -0.000752
[798/5000][360/535][82212] Loss_D: -0.024544 Loss_G: 0.012003 Loss_D_real: -0.022643 Loss_D_fake 0.001902
[798/5000][365/535][82213] Loss_D: -0.024886 Loss_G: 0.007597 Loss_D_real: -0.029216 Loss_D_fake -0.004331
[798/5000][370/535][82214] Loss_D: -0.024351 Loss_G: 0.027577 Loss_D_real: -0.033821 Loss_D_fake -0.009469
[798/5000][375/535][82215] Loss_D: -0.023550 Loss_G: -0.021529 Loss_D_real: 0.001894 Loss_D_fake 0.025444
[798/5000][380/535][82216] Loss_D: -0.023362 Loss_G: 0.013369 Loss_D_real: -0.010435 Loss_D_fake 0.012928
[798/5000][385/535][82217] Loss_D: -0.023554 Loss_G: 0.006096 Loss_D_real: -0.010829 Loss_D_fake 0.012725
[798/5000][390/535][82218] Loss_D: -0.023920 Loss_G: 0.016004 Loss_D_real: -0.017776 Loss_D_fake 0.006144
[798/5000][395/535][82219] Loss_D: -0.023041 Loss_G: 0.009505 Loss_D_real: -0.015817 Loss_D_fake 0.007225
[798/5000][400/535][82220] Loss_D: -0.023412 Loss_G: -0.001234 Loss_D_real: -0.018089 Loss_D_fake 0.005323
[798/5000][405/535][82221] Loss_D: -0.023496 Loss_G: -0.007409 Loss_D_real: -0.013258 Loss_D_fake 0.010238
[798/5000][410/535][82222] Loss_D: -0.023732 Loss_G: 0.022842 Loss_D_real: -0.021458 Loss_D_fake 0.002274
[798/5000][415/535][82223] Loss_D: -0.023963 Loss_G: 0.021167 Loss_D_real: -0.017087 Loss_D_fake 0.006876
[798/5000][420/535][82224] Loss_D: -0.022311 Loss_G: 0.027941 Loss_D_real: -0.032406 Loss_D_fake -0.010095
[798/5000][425/535][82225] Loss_D: -0.024832 Loss_G: -0.005570 Loss_D_real: -0.010023 Loss_D_fake 0.014809
[798/5000][430/535][82226] Loss_D: -0.023084 Loss_G: 0.023674 Loss_D_real: -0.036301 Loss_D_fake -0.013217
[798/5000][435/535][82227] Loss_D: -0.024288 Loss_G: 0.011289 Loss_D_real: -0.029086 Loss_D_fake -0.004798
[798/5000][440/535][82228] Loss_D: -0.024280 Loss_G: 0.004913 Loss_D_real: -0.014136 Loss_D_fake 0.010144
[798/5000][445/535][82229] Loss_D: -0.025064 Loss_G: -0.002489 Loss_D_real: -0.003677 Loss_D_fake 0.021386
[798/5000][450/535][82230] Loss_D: -0.025031 Loss_G: 0.001336 Loss_D_real: -0.009381 Loss_D_fake 0.015650
[798/5000][455/535][82231] Loss_D: -0.024293 Loss_G: -0.005268 Loss_D_real: -0.015140 Loss_D_fake 0.009153
[798/5000][460/535][82232] Loss_D: -0.024381 Loss_G: 0.020350 Loss_D_real: -0.015781 Loss_D_fake 0.008600
[798/5000][465/535][82233] Loss_D: -0.024661 Loss_G: -0.000019 Loss_D_real: -0.016756 Loss_D_fake 0.007905
[798/5000][470/535][82234] Loss_D: -0.022766 Loss_G: 0.006440 Loss_D_real: -0.016086 Loss_D_fake 0.006680
[798/5000][475/535][82235] Loss_D: -0.024466 Loss_G: 0.010996 Loss_D_real: -0.017087 Loss_D_fake 0.007379
[798/5000][480/535][82236] Loss_D: -0.024285 Loss_G: 0.000779 Loss_D_real: -0.013651 Loss_D_fake 0.010633
[798/5000][485/535][82237] Loss_D: -0.023670 Loss_G: 0.000820 Loss_D_real: -0.019724 Loss_D_fake 0.003946
[798/5000][490/535][82238] Loss_D: -0.023829 Loss_G: 0.033346 Loss_D_real: -0.028841 Loss_D_fake -0.005012
[798/5000][495/535][82239] Loss_D: -0.023245 Loss_G: 0.005518 Loss_D_real: -0.003625 Loss_D_fake 0.019620
[798/5000][500/535][82240] Loss_D: -0.022865 Loss_G: 0.026093 Loss_D_real: -0.029928 Loss_D_fake -0.007063
[798/5000][505/535][82241] Loss_D: -0.022749 Loss_G: -0.006646 Loss_D_real: -0.010039 Loss_D_fake 0.012710
[798/5000][510/535][82242] Loss_D: -0.022611 Loss_G: 0.019289 Loss_D_real: -0.028554 Loss_D_fake -0.005944
[798/5000][515/535][82243] Loss_D: -0.023444 Loss_G: 0.010196 Loss_D_real: -0.017412 Loss_D_fake 0.006032
[798/5000][520/535][82244] Loss_D: -0.024252 Loss_G: 0.021256 Loss_D_real: -0.033501 Loss_D_fake -0.009249
[798/5000][525/535][82245] Loss_D: -0.023720 Loss_G: -0.000029 Loss_D_real: -0.007229 Loss_D_fake 0.016491
[798/5000][530/535][82246] Loss_D: -0.022617 Loss_G: 0.002823 Loss_D_real: -0.012576 Loss_D_fake 0.010040
[798/5000][535/535][82247] Loss_D: -0.023414 Loss_G: 0.012235 Loss_D_real: -0.018881 Loss_D_fake 0.004534
[799/5000][5/535][82248] Loss_D: -0.023096 Loss_G: -0.000332 Loss_D_real: -0.009799 Loss_D_fake 0.013296
[799/5000][10/535][82249] Loss_D: -0.024584 Loss_G: 0.013428 Loss_D_real: -0.023353 Loss_D_fake 0.001231
[799/5000][15/535][82250] Loss_D: -0.023336 Loss_G: 0.019261 Loss_D_real: -0.032201 Loss_D_fake -0.008866
[799/5000][20/535][82251] Loss_D: -0.022639 Loss_G: 0.011082 Loss_D_real: -0.032618 Loss_D_fake -0.009980
[799/5000][25/535][82252] Loss_D: -0.022951 Loss_G: -0.012191 Loss_D_real: -0.012061 Loss_D_fake 0.010890
[799/5000][30/535][82253] Loss_D: -0.023573 Loss_G: 0.010460 Loss_D_real: -0.016181 Loss_D_fake 0.007391
[799/5000][35/535][82254] Loss_D: -0.024088 Loss_G: 0.010159 Loss_D_real: -0.018183 Loss_D_fake 0.005905
[799/5000][40/535][82255] Loss_D: -0.022941 Loss_G: 0.020227 Loss_D_real: -0.030064 Loss_D_fake -0.007123
[799/5000][45/535][82256] Loss_D: -0.023435 Loss_G: 0.014050 Loss_D_real: -0.024611 Loss_D_fake -0.001176
[799/5000][50/535][82257] Loss_D: -0.023578 Loss_G: 0.005160 Loss_D_real: -0.013358 Loss_D_fake 0.010220
[799/5000][55/535][82258] Loss_D: -0.024278 Loss_G: 0.004176 Loss_D_real: -0.008712 Loss_D_fake 0.015566
[799/5000][60/535][82259] Loss_D: -0.022456 Loss_G: 0.016453 Loss_D_real: -0.027125 Loss_D_fake -0.004669
[799/5000][65/535][82260] Loss_D: -0.022903 Loss_G: 0.028881 Loss_D_real: -0.034712 Loss_D_fake -0.011809
[799/5000][70/535][82261] Loss_D: -0.024526 Loss_G: 0.003859 Loss_D_real: -0.021077 Loss_D_fake 0.003450
[799/5000][75/535][82262] Loss_D: -0.024665 Loss_G: 0.012894 Loss_D_real: -0.018942 Loss_D_fake 0.005723
[799/5000][80/535][82263] Loss_D: -0.023200 Loss_G: 0.005853 Loss_D_real: -0.010662 Loss_D_fake 0.012537
[799/5000][85/535][82264] Loss_D: -0.022365 Loss_G: 0.017116 Loss_D_real: -0.023773 Loss_D_fake -0.001408
[799/5000][90/535][82265] Loss_D: -0.024479 Loss_G: 0.006392 Loss_D_real: -0.010678 Loss_D_fake 0.013801
[799/5000][95/535][82266] Loss_D: -0.023852 Loss_G: 0.021558 Loss_D_real: -0.029063 Loss_D_fake -0.005211
[799/5000][100/535][82267] Loss_D: -0.024390 Loss_G: 0.005037 Loss_D_real: -0.029489 Loss_D_fake -0.005099
[799/5000][105/535][82268] Loss_D: -0.024072 Loss_G: 0.010578 Loss_D_real: -0.013379 Loss_D_fake 0.010693
[799/5000][110/535][82269] Loss_D: -0.025375 Loss_G: 0.020217 Loss_D_real: -0.015984 Loss_D_fake 0.009391
[799/5000][115/535][82270] Loss_D: -0.024774 Loss_G: -0.005847 Loss_D_real: -0.012530 Loss_D_fake 0.012244
[799/5000][120/535][82271] Loss_D: -0.023255 Loss_G: 0.014568 Loss_D_real: -0.019731 Loss_D_fake 0.003525
[799/5000][125/535][82272] Loss_D: -0.023525 Loss_G: -0.009484 Loss_D_real: -0.009389 Loss_D_fake 0.014136
[799/5000][130/535][82273] Loss_D: -0.022729 Loss_G: 0.009241 Loss_D_real: -0.017628 Loss_D_fake 0.005101
[799/5000][135/535][82274] Loss_D: -0.022849 Loss_G: 0.014962 Loss_D_real: -0.024927 Loss_D_fake -0.002078
[799/5000][140/535][82275] Loss_D: -0.024361 Loss_G: 0.014577 Loss_D_real: -0.015533 Loss_D_fake 0.008828
[799/5000][145/535][82276] Loss_D: -0.021672 Loss_G: -0.020724 Loss_D_real: -0.001137 Loss_D_fake 0.020535
[799/5000][150/535][82277] Loss_D: -0.021908 Loss_G: 0.013972 Loss_D_real: -0.028874 Loss_D_fake -0.006966
[799/5000][155/535][82278] Loss_D: -0.022130 Loss_G: -0.008347 Loss_D_real: -0.010834 Loss_D_fake 0.011296
[799/5000][160/535][82279] Loss_D: -0.022523 Loss_G: 0.010218 Loss_D_real: -0.014704 Loss_D_fake 0.007820
[799/5000][165/535][82280] Loss_D: -0.024525 Loss_G: -0.010086 Loss_D_real: -0.013910 Loss_D_fake 0.010616
[799/5000][170/535][82281] Loss_D: -0.024849 Loss_G: 0.011265 Loss_D_real: -0.005362 Loss_D_fake 0.019486
[799/5000][175/535][82282] Loss_D: -0.024702 Loss_G: 0.017686 Loss_D_real: -0.020091 Loss_D_fake 0.004611
[799/5000][180/535][82283] Loss_D: -0.024814 Loss_G: 0.012073 Loss_D_real: -0.025327 Loss_D_fake -0.000512
[799/5000][185/535][82284] Loss_D: -0.024305 Loss_G: 0.006850 Loss_D_real: -0.018764 Loss_D_fake 0.005541
[799/5000][190/535][82285] Loss_D: -0.022920 Loss_G: 0.007902 Loss_D_real: -0.020761 Loss_D_fake 0.002159
[799/5000][195/535][82286] Loss_D: -0.023140 Loss_G: -0.008159 Loss_D_real: -0.002319 Loss_D_fake 0.020820
[799/5000][200/535][82287] Loss_D: -0.023426 Loss_G: -0.001121 Loss_D_real: -0.005014 Loss_D_fake 0.018412
[799/5000][205/535][82288] Loss_D: -0.024360 Loss_G: 0.015528 Loss_D_real: -0.015665 Loss_D_fake 0.008695
[799/5000][210/535][82289] Loss_D: -0.023024 Loss_G: 0.013263 Loss_D_real: -0.024995 Loss_D_fake -0.001971
[799/5000][215/535][82290] Loss_D: -0.022843 Loss_G: 0.018423 Loss_D_real: -0.019085 Loss_D_fake 0.003757
[799/5000][220/535][82291] Loss_D: -0.022717 Loss_G: 0.002272 Loss_D_real: -0.010574 Loss_D_fake 0.012143
[799/5000][225/535][82292] Loss_D: -0.022692 Loss_G: 0.004307 Loss_D_real: -0.024308 Loss_D_fake -0.001616
[799/5000][230/535][82293] Loss_D: -0.024193 Loss_G: 0.008350 Loss_D_real: -0.022901 Loss_D_fake 0.001292
[799/5000][235/535][82294] Loss_D: -0.024119 Loss_G: 0.009912 Loss_D_real: -0.009488 Loss_D_fake 0.014631
[799/5000][240/535][82295] Loss_D: -0.023470 Loss_G: 0.012878 Loss_D_real: -0.028609 Loss_D_fake -0.005139
[799/5000][245/535][82296] Loss_D: -0.025024 Loss_G: 0.013396 Loss_D_real: -0.013186 Loss_D_fake 0.011838
[799/5000][250/535][82297] Loss_D: -0.023194 Loss_G: -0.009259 Loss_D_real: 0.002255 Loss_D_fake 0.025448
[799/5000][255/535][82298] Loss_D: -0.023167 Loss_G: -0.012658 Loss_D_real: 0.003627 Loss_D_fake 0.026795
[799/5000][260/535][82299] Loss_D: -0.022629 Loss_G: 0.011759 Loss_D_real: -0.019788 Loss_D_fake 0.002841
[799/5000][265/535][82300] Loss_D: -0.024211 Loss_G: 0.004971 Loss_D_real: -0.014027 Loss_D_fake 0.010185
[799/5000][270/535][82301] Loss_D: -0.022891 Loss_G: 0.015337 Loss_D_real: -0.019316 Loss_D_fake 0.003575
[799/5000][275/535][82302] Loss_D: -0.023153 Loss_G: 0.015473 Loss_D_real: -0.014062 Loss_D_fake 0.009091
[799/5000][280/535][82303] Loss_D: -0.021540 Loss_G: 0.018576 Loss_D_real: -0.030072 Loss_D_fake -0.008532
[799/5000][285/535][82304] Loss_D: -0.023335 Loss_G: -0.001656 Loss_D_real: -0.010939 Loss_D_fake 0.012396
[799/5000][290/535][82305] Loss_D: -0.023618 Loss_G: 0.010263 Loss_D_real: -0.017759 Loss_D_fake 0.005860
[799/5000][295/535][82306] Loss_D: -0.023892 Loss_G: 0.018700 Loss_D_real: -0.024944 Loss_D_fake -0.001052
[799/5000][300/535][82307] Loss_D: -0.022925 Loss_G: 0.003409 Loss_D_real: -0.012097 Loss_D_fake 0.010828
[799/5000][305/535][82308] Loss_D: -0.023089 Loss_G: 0.021533 Loss_D_real: -0.022069 Loss_D_fake 0.001019
[799/5000][310/535][82309] Loss_D: -0.023660 Loss_G: 0.008580 Loss_D_real: -0.025562 Loss_D_fake -0.001902
[799/5000][315/535][82310] Loss_D: -0.023761 Loss_G: 0.019976 Loss_D_real: -0.019205 Loss_D_fake 0.004556
[799/5000][320/535][82311] Loss_D: -0.023762 Loss_G: -0.003660 Loss_D_real: -0.017564 Loss_D_fake 0.006197
[799/5000][325/535][82312] Loss_D: -0.024829 Loss_G: 0.034578 Loss_D_real: -0.019330 Loss_D_fake 0.005499
[799/5000][330/535][82313] Loss_D: -0.023525 Loss_G: 0.003538 Loss_D_real: -0.021375 Loss_D_fake 0.002150
[799/5000][335/535][82314] Loss_D: -0.023540 Loss_G: 0.012234 Loss_D_real: -0.023371 Loss_D_fake 0.000169
[799/5000][340/535][82315] Loss_D: -0.023156 Loss_G: 0.009393 Loss_D_real: -0.018830 Loss_D_fake 0.004326
[799/5000][345/535][82316] Loss_D: -0.022660 Loss_G: 0.023110 Loss_D_real: -0.029706 Loss_D_fake -0.007045
[799/5000][350/535][82317] Loss_D: -0.023761 Loss_G: -0.000357 Loss_D_real: -0.003969 Loss_D_fake 0.019792
[799/5000][355/535][82318] Loss_D: -0.022593 Loss_G: 0.016213 Loss_D_real: -0.020445 Loss_D_fake 0.002148
[799/5000][360/535][82319] Loss_D: -0.023114 Loss_G: 0.028701 Loss_D_real: -0.027335 Loss_D_fake -0.004221
[799/5000][365/535][82320] Loss_D: -0.022302 Loss_G: 0.005555 Loss_D_real: -0.022125 Loss_D_fake 0.000177
[799/5000][370/535][82321] Loss_D: -0.023994 Loss_G: 0.003244 Loss_D_real: -0.018232 Loss_D_fake 0.005762
[799/5000][375/535][82322] Loss_D: -0.023145 Loss_G: 0.029016 Loss_D_real: -0.029273 Loss_D_fake -0.006128
[799/5000][380/535][82323] Loss_D: -0.023715 Loss_G: 0.008252 Loss_D_real: -0.023168 Loss_D_fake 0.000548
[799/5000][385/535][82324] Loss_D: -0.024741 Loss_G: 0.006573 Loss_D_real: -0.026477 Loss_D_fake -0.001736
[799/5000][390/535][82325] Loss_D: -0.023078 Loss_G: 0.023378 Loss_D_real: -0.025525 Loss_D_fake -0.002447
[799/5000][395/535][82326] Loss_D: -0.024096 Loss_G: 0.007081 Loss_D_real: -0.019382 Loss_D_fake 0.004714
[799/5000][400/535][82327] Loss_D: -0.024416 Loss_G: 0.009869 Loss_D_real: -0.020062 Loss_D_fake 0.004354
[799/5000][405/535][82328] Loss_D: -0.025147 Loss_G: 0.007038 Loss_D_real: -0.018898 Loss_D_fake 0.006249
[799/5000][410/535][82329] Loss_D: -0.024449 Loss_G: -0.013350 Loss_D_real: -0.006485 Loss_D_fake 0.017965
[799/5000][415/535][82330] Loss_D: -0.023216 Loss_G: 0.006477 Loss_D_real: -0.016171 Loss_D_fake 0.007045
[799/5000][420/535][82331] Loss_D: -0.023505 Loss_G: 0.004503 Loss_D_real: -0.007769 Loss_D_fake 0.015736
[799/5000][425/535][82332] Loss_D: -0.024088 Loss_G: 0.018001 Loss_D_real: -0.021358 Loss_D_fake 0.002729
[799/5000][430/535][82333] Loss_D: -0.023261 Loss_G: -0.014194 Loss_D_real: 0.001030 Loss_D_fake 0.024292
[799/5000][435/535][82334] Loss_D: -0.024683 Loss_G: 0.014261 Loss_D_real: -0.022291 Loss_D_fake 0.002392
[799/5000][440/535][82335] Loss_D: -0.023381 Loss_G: -0.007208 Loss_D_real: -0.009078 Loss_D_fake 0.014304
[799/5000][445/535][82336] Loss_D: -0.024057 Loss_G: 0.018871 Loss_D_real: -0.022190 Loss_D_fake 0.001867
[799/5000][450/535][82337] Loss_D: -0.023277 Loss_G: 0.000966 Loss_D_real: -0.012158 Loss_D_fake 0.011119
[799/5000][455/535][82338] Loss_D: -0.023473 Loss_G: 0.010815 Loss_D_real: -0.022142 Loss_D_fake 0.001331
[799/5000][460/535][82339] Loss_D: -0.022631 Loss_G: 0.020503 Loss_D_real: -0.020687 Loss_D_fake 0.001944
[799/5000][465/535][82340] Loss_D: -0.020242 Loss_G: 0.024866 Loss_D_real: -0.039084 Loss_D_fake -0.018842
[799/5000][470/535][82341] Loss_D: -0.023933 Loss_G: 0.011498 Loss_D_real: -0.023267 Loss_D_fake 0.000665
[799/5000][475/535][82342] Loss_D: -0.022342 Loss_G: -0.010605 Loss_D_real: -0.005750 Loss_D_fake 0.016593
[799/5000][480/535][82343] Loss_D: -0.023794 Loss_G: 0.000360 Loss_D_real: -0.023681 Loss_D_fake 0.000113
[799/5000][485/535][82344] Loss_D: -0.023049 Loss_G: 0.010745 Loss_D_real: -0.011866 Loss_D_fake 0.011183
[799/5000][490/535][82345] Loss_D: -0.022459 Loss_G: 0.010333 Loss_D_real: -0.021803 Loss_D_fake 0.000656
[799/5000][495/535][82346] Loss_D: -0.022685 Loss_G: 0.001414 Loss_D_real: -0.009828 Loss_D_fake 0.012857
[799/5000][500/535][82347] Loss_D: -0.024410 Loss_G: -0.003624 Loss_D_real: -0.009453 Loss_D_fake 0.014958
[799/5000][505/535][82348] Loss_D: -0.023032 Loss_G: 0.005866 Loss_D_real: -0.019757 Loss_D_fake 0.003274
[799/5000][510/535][82349] Loss_D: -0.024653 Loss_G: 0.030000 Loss_D_real: -0.025668 Loss_D_fake -0.001015
[799/5000][515/535][82350] Loss_D: -0.023213 Loss_G: 0.008261 Loss_D_real: -0.019037 Loss_D_fake 0.004177
[799/5000][520/535][82351] Loss_D: -0.023161 Loss_G: 0.007985 Loss_D_real: -0.022000 Loss_D_fake 0.001161
[799/5000][525/535][82352] Loss_D: -0.023199 Loss_G: 0.010962 Loss_D_real: -0.020693 Loss_D_fake 0.002506
[799/5000][530/535][82353] Loss_D: -0.024231 Loss_G: 0.010117 Loss_D_real: -0.020529 Loss_D_fake 0.003702
[799/5000][535/535][82354] Loss_D: -0.025216 Loss_G: 0.016368 Loss_D_real: -0.020529 Loss_D_fake 0.004686
[800/5000][5/535][82355] Loss_D: -0.023046 Loss_G: 0.022165 Loss_D_real: -0.022103 Loss_D_fake 0.000943
[800/5000][10/535][82356] Loss_D: -0.023217 Loss_G: 0.008386 Loss_D_real: -0.025804 Loss_D_fake -0.002587
[800/5000][15/535][82357] Loss_D: -0.022843 Loss_G: -0.001647 Loss_D_real: -0.022689 Loss_D_fake 0.000154
[800/5000][20/535][82358] Loss_D: -0.024099 Loss_G: 0.004676 Loss_D_real: -0.018229 Loss_D_fake 0.005870
[800/5000][25/535][82359] Loss_D: -0.025817 Loss_G: 0.020004 Loss_D_real: -0.021586 Loss_D_fake 0.004231
[800/5000][30/535][82360] Loss_D: -0.024347 Loss_G: 0.027569 Loss_D_real: -0.024403 Loss_D_fake -0.000056
[800/5000][35/535][82361] Loss_D: -0.022471 Loss_G: -0.012592 Loss_D_real: -0.001491 Loss_D_fake 0.020981
[800/5000][40/535][82362] Loss_D: -0.023284 Loss_G: 0.009971 Loss_D_real: -0.028361 Loss_D_fake -0.005077
[800/5000][45/535][82363] Loss_D: -0.025605 Loss_G: 0.006163 Loss_D_real: -0.020847 Loss_D_fake 0.004758
[800/5000][50/535][82364] Loss_D: -0.025216 Loss_G: 0.022326 Loss_D_real: -0.027431 Loss_D_fake -0.002215
[800/5000][55/535][82365] Loss_D: -0.023653 Loss_G: -0.004225 Loss_D_real: -0.012772 Loss_D_fake 0.010881
[800/5000][60/535][82366] Loss_D: -0.024325 Loss_G: -0.001815 Loss_D_real: -0.014358 Loss_D_fake 0.009967
[800/5000][65/535][82367] Loss_D: -0.024490 Loss_G: 0.004165 Loss_D_real: -0.016740 Loss_D_fake 0.007750
[800/5000][70/535][82368] Loss_D: -0.025357 Loss_G: 0.026853 Loss_D_real: -0.025616 Loss_D_fake -0.000259
[800/5000][75/535][82369] Loss_D: -0.024555 Loss_G: 0.004959 Loss_D_real: -0.023219 Loss_D_fake 0.001336
[800/5000][80/535][82370] Loss_D: -0.024014 Loss_G: -0.001652 Loss_D_real: -0.008029 Loss_D_fake 0.015984
[800/5000][85/535][82371] Loss_D: -0.023241 Loss_G: 0.007175 Loss_D_real: -0.016404 Loss_D_fake 0.006837
[800/5000][90/535][82372] Loss_D: -0.023231 Loss_G: -0.020123 Loss_D_real: -0.005724 Loss_D_fake 0.017507
[800/5000][95/535][82373] Loss_D: -0.023375 Loss_G: 0.023677 Loss_D_real: -0.024143 Loss_D_fake -0.000768
[800/5000][100/535][82374] Loss_D: -0.022844 Loss_G: -0.001735 Loss_D_real: -0.027624 Loss_D_fake -0.004779
[800/5000][105/535][82375] Loss_D: -0.024113 Loss_G: 0.005656 Loss_D_real: -0.010564 Loss_D_fake 0.013549
[800/5000][110/535][82376] Loss_D: -0.024632 Loss_G: 0.019365 Loss_D_real: -0.014958 Loss_D_fake 0.009674
[800/5000][115/535][82377] Loss_D: -0.022575 Loss_G: 0.004065 Loss_D_real: -0.014508 Loss_D_fake 0.008067
[800/5000][120/535][82378] Loss_D: -0.023401 Loss_G: 0.004797 Loss_D_real: -0.021654 Loss_D_fake 0.001746
[800/5000][125/535][82379] Loss_D: -0.023951 Loss_G: 0.013306 Loss_D_real: -0.024102 Loss_D_fake -0.000151
[800/5000][130/535][82380] Loss_D: -0.023208 Loss_G: 0.001475 Loss_D_real: -0.011171 Loss_D_fake 0.012037
[800/5000][135/535][82381] Loss_D: -0.023101 Loss_G: 0.000597 Loss_D_real: -0.024286 Loss_D_fake -0.001185
[800/5000][140/535][82382] Loss_D: -0.023773 Loss_G: 0.018831 Loss_D_real: -0.021823 Loss_D_fake 0.001950
[800/5000][145/535][82383] Loss_D: -0.021668 Loss_G: -0.000928 Loss_D_real: 0.005607 Loss_D_fake 0.027275
[800/5000][150/535][82384] Loss_D: -0.024152 Loss_G: 0.018064 Loss_D_real: -0.022699 Loss_D_fake 0.001454
[800/5000][155/535][82385] Loss_D: -0.024591 Loss_G: 0.014753 Loss_D_real: -0.013876 Loss_D_fake 0.010715
[800/5000][160/535][82386] Loss_D: -0.023445 Loss_G: 0.024245 Loss_D_real: -0.033982 Loss_D_fake -0.010537
[800/5000][165/535][82387] Loss_D: -0.021945 Loss_G: -0.012838 Loss_D_real: -0.003272 Loss_D_fake 0.018673
[800/5000][170/535][82388] Loss_D: -0.022205 Loss_G: 0.006546 Loss_D_real: -0.027296 Loss_D_fake -0.005091
[800/5000][175/535][82389] Loss_D: -0.024327 Loss_G: 0.012340 Loss_D_real: -0.007995 Loss_D_fake 0.016333
[800/5000][180/535][82390] Loss_D: -0.022338 Loss_G: 0.010781 Loss_D_real: -0.012124 Loss_D_fake 0.010214
[800/5000][185/535][82391] Loss_D: -0.023578 Loss_G: -0.006556 Loss_D_real: -0.008788 Loss_D_fake 0.014790
[800/5000][190/535][82392] Loss_D: -0.023125 Loss_G: -0.005298 Loss_D_real: -0.007189 Loss_D_fake 0.015936
[800/5000][195/535][82393] Loss_D: -0.023773 Loss_G: 0.009527 Loss_D_real: -0.019023 Loss_D_fake 0.004751
[800/5000][200/535][82394] Loss_D: -0.022862 Loss_G: 0.019266 Loss_D_real: -0.013399 Loss_D_fake 0.009463
[800/5000][205/535][82395] Loss_D: -0.023306 Loss_G: 0.017870 Loss_D_real: -0.027445 Loss_D_fake -0.004139
[800/5000][210/535][82396] Loss_D: -0.024172 Loss_G: 0.005008 Loss_D_real: -0.023392 Loss_D_fake 0.000780
[800/5000][215/535][82397] Loss_D: -0.024803 Loss_G: 0.020928 Loss_D_real: -0.025652 Loss_D_fake -0.000849
[800/5000][220/535][82398] Loss_D: -0.023301 Loss_G: 0.027262 Loss_D_real: -0.029915 Loss_D_fake -0.006614
[800/5000][225/535][82399] Loss_D: -0.022170 Loss_G: 0.022313 Loss_D_real: -0.024885 Loss_D_fake -0.002715
[800/5000][230/535][82400] Loss_D: -0.022008 Loss_G: -0.013714 Loss_D_real: -0.012833 Loss_D_fake 0.009175
[800/5000][235/535][82401] Loss_D: -0.024674 Loss_G: 0.011186 Loss_D_real: -0.028204 Loss_D_fake -0.003530
[800/5000][240/535][82402] Loss_D: -0.023079 Loss_G: -0.006894 Loss_D_real: -0.018183 Loss_D_fake 0.004896
[800/5000][245/535][82403] Loss_D: -0.022742 Loss_G: 0.013585 Loss_D_real: -0.018698 Loss_D_fake 0.004044
[800/5000][250/535][82404] Loss_D: -0.022294 Loss_G: 0.010473 Loss_D_real: -0.011255 Loss_D_fake 0.011039
[800/5000][255/535][82405] Loss_D: -0.023628 Loss_G: 0.009879 Loss_D_real: -0.028084 Loss_D_fake -0.004457
[800/5000][260/535][82406] Loss_D: -0.024004 Loss_G: 0.015084 Loss_D_real: -0.022090 Loss_D_fake 0.001914
[800/5000][265/535][82407] Loss_D: -0.023324 Loss_G: -0.002253 Loss_D_real: -0.012906 Loss_D_fake 0.010418
[800/5000][270/535][82408] Loss_D: -0.023562 Loss_G: -0.002995 Loss_D_real: -0.008006 Loss_D_fake 0.015556
[800/5000][275/535][82409] Loss_D: -0.023104 Loss_G: 0.007927 Loss_D_real: -0.023633 Loss_D_fake -0.000528
[800/5000][280/535][82410] Loss_D: -0.024575 Loss_G: -0.006553 Loss_D_real: -0.013253 Loss_D_fake 0.011322
[800/5000][285/535][82411] Loss_D: -0.024033 Loss_G: 0.000851 Loss_D_real: -0.017099 Loss_D_fake 0.006933
[800/5000][290/535][82412] Loss_D: -0.022754 Loss_G: 0.005234 Loss_D_real: -0.016120 Loss_D_fake 0.006634
[800/5000][295/535][82413] Loss_D: -0.023074 Loss_G: 0.020194 Loss_D_real: -0.027919 Loss_D_fake -0.004845
[800/5000][300/535][82414] Loss_D: -0.024188 Loss_G: 0.020858 Loss_D_real: -0.019968 Loss_D_fake 0.004220
[800/5000][305/535][82415] Loss_D: -0.022372 Loss_G: 0.021085 Loss_D_real: -0.023970 Loss_D_fake -0.001598
[800/5000][310/535][82416] Loss_D: -0.024133 Loss_G: 0.011669 Loss_D_real: -0.016576 Loss_D_fake 0.007557
[800/5000][315/535][82417] Loss_D: -0.023686 Loss_G: 0.020635 Loss_D_real: -0.027124 Loss_D_fake -0.003437
[800/5000][320/535][82418] Loss_D: -0.024664 Loss_G: 0.020687 Loss_D_real: -0.028309 Loss_D_fake -0.003645
[800/5000][325/535][82419] Loss_D: -0.023015 Loss_G: -0.002578 Loss_D_real: -0.011380 Loss_D_fake 0.011635
[800/5000][330/535][82420] Loss_D: -0.023260 Loss_G: 0.016729 Loss_D_real: -0.035759 Loss_D_fake -0.012499
[800/5000][335/535][82421] Loss_D: -0.023943 Loss_G: -0.003589 Loss_D_real: -0.015281 Loss_D_fake 0.008662
[800/5000][340/535][82422] Loss_D: -0.024149 Loss_G: 0.007151 Loss_D_real: -0.019424 Loss_D_fake 0.004725
[800/5000][345/535][82423] Loss_D: -0.023360 Loss_G: 0.025277 Loss_D_real: -0.040212 Loss_D_fake -0.016851
[800/5000][350/535][82424] Loss_D: -0.023424 Loss_G: 0.013050 Loss_D_real: -0.022616 Loss_D_fake 0.000809
[800/5000][355/535][82425] Loss_D: -0.023278 Loss_G: -0.002818 Loss_D_real: -0.010569 Loss_D_fake 0.012709
[800/5000][360/535][82426] Loss_D: -0.024188 Loss_G: 0.013047 Loss_D_real: -0.013638 Loss_D_fake 0.010550
[800/5000][365/535][82427] Loss_D: -0.023811 Loss_G: -0.002570 Loss_D_real: -0.012990 Loss_D_fake 0.010821
[800/5000][370/535][82428] Loss_D: -0.022472 Loss_G: 0.023409 Loss_D_real: -0.030899 Loss_D_fake -0.008427
[800/5000][375/535][82429] Loss_D: -0.022099 Loss_G: 0.008584 Loss_D_real: -0.020653 Loss_D_fake 0.001445
[800/5000][380/535][82430] Loss_D: -0.022328 Loss_G: -0.009486 Loss_D_real: -0.002679 Loss_D_fake 0.019649
[800/5000][385/535][82431] Loss_D: -0.024416 Loss_G: 0.007556 Loss_D_real: -0.020140 Loss_D_fake 0.004276
[800/5000][390/535][82432] Loss_D: -0.026313 Loss_G: 0.006124 Loss_D_real: -0.015977 Loss_D_fake 0.010336
[800/5000][395/535][82433] Loss_D: -0.024917 Loss_G: 0.014977 Loss_D_real: -0.031237 Loss_D_fake -0.006320
[800/5000][400/535][82434] Loss_D: -0.025478 Loss_G: 0.013425 Loss_D_real: -0.029564 Loss_D_fake -0.004086
[800/5000][405/535][82435] Loss_D: -0.025341 Loss_G: -0.001714 Loss_D_real: -0.015786 Loss_D_fake 0.009555
[800/5000][410/535][82436] Loss_D: -0.022697 Loss_G: 0.024802 Loss_D_real: -0.027348 Loss_D_fake -0.004651
[800/5000][415/535][82437] Loss_D: -0.023371 Loss_G: 0.008601 Loss_D_real: -0.017584 Loss_D_fake 0.005787
[800/5000][420/535][82438] Loss_D: -0.023392 Loss_G: -0.011484 Loss_D_real: -0.013547 Loss_D_fake 0.009846
[800/5000][425/535][82439] Loss_D: -0.024664 Loss_G: 0.023459 Loss_D_real: -0.023502 Loss_D_fake 0.001162
[800/5000][430/535][82440] Loss_D: -0.025081 Loss_G: 0.022325 Loss_D_real: -0.025413 Loss_D_fake -0.000332
[800/5000][435/535][82441] Loss_D: -0.024176 Loss_G: 0.005793 Loss_D_real: -0.022650 Loss_D_fake 0.001526
[800/5000][440/535][82442] Loss_D: -0.023830 Loss_G: 0.018418 Loss_D_real: -0.021560 Loss_D_fake 0.002270
[800/5000][445/535][82443] Loss_D: -0.025356 Loss_G: 0.012388 Loss_D_real: -0.026970 Loss_D_fake -0.001615
[800/5000][450/535][82444] Loss_D: -0.024326 Loss_G: -0.007965 Loss_D_real: -0.009186 Loss_D_fake 0.015139
[800/5000][455/535][82445] Loss_D: -0.024902 Loss_G: 0.014656 Loss_D_real: -0.018425 Loss_D_fake 0.006477
[800/5000][460/535][82446] Loss_D: -0.024004 Loss_G: 0.001798 Loss_D_real: -0.026067 Loss_D_fake -0.002063
[800/5000][465/535][82447] Loss_D: -0.024207 Loss_G: -0.001757 Loss_D_real: -0.006005 Loss_D_fake 0.018202
[800/5000][470/535][82448] Loss_D: -0.021810 Loss_G: -0.010462 Loss_D_real: -0.009069 Loss_D_fake 0.012741
[800/5000][475/535][82449] Loss_D: -0.023167 Loss_G: 0.003198 Loss_D_real: -0.014072 Loss_D_fake 0.009095
[800/5000][480/535][82450] Loss_D: -0.022907 Loss_G: 0.023737 Loss_D_real: -0.036139 Loss_D_fake -0.013231
[800/5000][485/535][82451] Loss_D: -0.022374 Loss_G: -0.002057 Loss_D_real: -0.014240 Loss_D_fake 0.008134
[800/5000][490/535][82452] Loss_D: -0.024192 Loss_G: 0.012463 Loss_D_real: -0.024072 Loss_D_fake 0.000120
[800/5000][495/535][82453] Loss_D: -0.023422 Loss_G: 0.025518 Loss_D_real: -0.020168 Loss_D_fake 0.003253
[800/5000][500/535][82454] Loss_D: -0.022680 Loss_G: 0.015012 Loss_D_real: -0.019686 Loss_D_fake 0.002994
[800/5000][505/535][82455] Loss_D: -0.023228 Loss_G: 0.010490 Loss_D_real: -0.018680 Loss_D_fake 0.004548
[800/5000][510/535][82456] Loss_D: -0.022575 Loss_G: 0.017393 Loss_D_real: -0.023499 Loss_D_fake -0.000923
[800/5000][515/535][82457] Loss_D: -0.022044 Loss_G: 0.020862 Loss_D_real: -0.027134 Loss_D_fake -0.005091
[800/5000][520/535][82458] Loss_D: -0.023495 Loss_G: 0.012350 Loss_D_real: -0.022266 Loss_D_fake 0.001229
[800/5000][525/535][82459] Loss_D: -0.023712 Loss_G: 0.028997 Loss_D_real: -0.025620 Loss_D_fake -0.001908
[800/5000][530/535][82460] Loss_D: -0.023431 Loss_G: -0.006910 Loss_D_real: -0.009041 Loss_D_fake 0.014390
[800/5000][535/535][82461] Loss_D: -0.027233 Loss_G: 0.011607 Loss_D_real: -0.026141 Loss_D_fake 0.001092
[801/5000][5/535][82462] Loss_D: -0.024523 Loss_G: 0.012805 Loss_D_real: -0.022139 Loss_D_fake 0.002384
[801/5000][10/535][82463] Loss_D: -0.025196 Loss_G: 0.001937 Loss_D_real: -0.026321 Loss_D_fake -0.001125
[801/5000][15/535][82464] Loss_D: -0.021460 Loss_G: -0.009670 Loss_D_real: -0.010978 Loss_D_fake 0.010482
[801/5000][20/535][82465] Loss_D: -0.022404 Loss_G: 0.001137 Loss_D_real: -0.015251 Loss_D_fake 0.007153
[801/5000][25/535][82466] Loss_D: -0.022847 Loss_G: 0.024548 Loss_D_real: -0.024071 Loss_D_fake -0.001225
[801/5000][30/535][82467] Loss_D: -0.023152 Loss_G: -0.001449 Loss_D_real: -0.019502 Loss_D_fake 0.003650
[801/5000][35/535][82468] Loss_D: -0.022723 Loss_G: 0.004780 Loss_D_real: -0.012225 Loss_D_fake 0.010498
[801/5000][40/535][82469] Loss_D: -0.022282 Loss_G: 0.026112 Loss_D_real: -0.037128 Loss_D_fake -0.014846
[801/5000][45/535][82470] Loss_D: -0.023015 Loss_G: 0.010640 Loss_D_real: -0.027063 Loss_D_fake -0.004048
[801/5000][50/535][82471] Loss_D: -0.023337 Loss_G: 0.002739 Loss_D_real: -0.011238 Loss_D_fake 0.012098
[801/5000][55/535][82472] Loss_D: -0.023453 Loss_G: 0.019739 Loss_D_real: -0.018459 Loss_D_fake 0.004994
[801/5000][60/535][82473] Loss_D: -0.022821 Loss_G: -0.019075 Loss_D_real: -0.006124 Loss_D_fake 0.016697
[801/5000][65/535][82474] Loss_D: -0.019021 Loss_G: 0.023552 Loss_D_real: -0.038221 Loss_D_fake -0.019200
[801/5000][70/535][82475] Loss_D: -0.022488 Loss_G: -0.009845 Loss_D_real: -0.009307 Loss_D_fake 0.013181
[801/5000][75/535][82476] Loss_D: -0.024288 Loss_G: 0.015152 Loss_D_real: -0.014703 Loss_D_fake 0.009585
[801/5000][80/535][82477] Loss_D: -0.023334 Loss_G: 0.006856 Loss_D_real: -0.017037 Loss_D_fake 0.006297
[801/5000][85/535][82478] Loss_D: -0.023674 Loss_G: 0.013358 Loss_D_real: -0.019702 Loss_D_fake 0.003972
[801/5000][90/535][82479] Loss_D: -0.024207 Loss_G: 0.012202 Loss_D_real: -0.027442 Loss_D_fake -0.003235
[801/5000][95/535][82480] Loss_D: -0.023539 Loss_G: 0.001423 Loss_D_real: -0.011150 Loss_D_fake 0.012389
[801/5000][100/535][82481] Loss_D: -0.022943 Loss_G: 0.017935 Loss_D_real: -0.024590 Loss_D_fake -0.001647
[801/5000][105/535][82482] Loss_D: -0.023981 Loss_G: 0.012016 Loss_D_real: -0.006623 Loss_D_fake 0.017358
[801/5000][110/535][82483] Loss_D: -0.022238 Loss_G: 0.011049 Loss_D_real: -0.026589 Loss_D_fake -0.004351
[801/5000][115/535][82484] Loss_D: -0.023971 Loss_G: 0.015365 Loss_D_real: -0.022602 Loss_D_fake 0.001369
[801/5000][120/535][82485] Loss_D: -0.023577 Loss_G: -0.002328 Loss_D_real: -0.014103 Loss_D_fake 0.009475
[801/5000][125/535][82486] Loss_D: -0.023284 Loss_G: 0.031223 Loss_D_real: -0.027767 Loss_D_fake -0.004483
[801/5000][130/535][82487] Loss_D: -0.022783 Loss_G: 0.003162 Loss_D_real: -0.008182 Loss_D_fake 0.014601
[801/5000][135/535][82488] Loss_D: -0.024290 Loss_G: 0.004371 Loss_D_real: -0.019158 Loss_D_fake 0.005132
[801/5000][140/535][82489] Loss_D: -0.022885 Loss_G: 0.012339 Loss_D_real: -0.030740 Loss_D_fake -0.007855
[801/5000][145/535][82490] Loss_D: -0.024822 Loss_G: -0.006999 Loss_D_real: -0.013650 Loss_D_fake 0.011172
[801/5000][150/535][82491] Loss_D: -0.024236 Loss_G: 0.015642 Loss_D_real: -0.013250 Loss_D_fake 0.010986
[801/5000][155/535][82492] Loss_D: -0.024074 Loss_G: 0.014101 Loss_D_real: -0.025454 Loss_D_fake -0.001379
[801/5000][160/535][82493] Loss_D: -0.024836 Loss_G: -0.012747 Loss_D_real: -0.009120 Loss_D_fake 0.015716
[801/5000][165/535][82494] Loss_D: -0.023507 Loss_G: 0.015240 Loss_D_real: -0.026855 Loss_D_fake -0.003348
[801/5000][170/535][82495] Loss_D: -0.023718 Loss_G: 0.015630 Loss_D_real: -0.017266 Loss_D_fake 0.006453
[801/5000][175/535][82496] Loss_D: -0.023413 Loss_G: -0.002491 Loss_D_real: -0.011062 Loss_D_fake 0.012351
[801/5000][180/535][82497] Loss_D: -0.024419 Loss_G: 0.005219 Loss_D_real: -0.009571 Loss_D_fake 0.014848
[801/5000][185/535][82498] Loss_D: -0.025694 Loss_G: -0.002761 Loss_D_real: -0.007926 Loss_D_fake 0.017768
[801/5000][190/535][82499] Loss_D: -0.024002 Loss_G: 0.021787 Loss_D_real: -0.028609 Loss_D_fake -0.004607
[801/5000][195/535][82500] Loss_D: -0.024273 Loss_G: 0.003991 Loss_D_real: -0.021217 Loss_D_fake 0.003057
[801/5000][295/535][82501] Loss_D: -0.026929 Loss_G: 0.017698 Loss_D_real: -0.023490 Loss_D_fake 0.003439
[801/5000][300/535][82502] Loss_D: -0.027099 Loss_G: 0.012393 Loss_D_real: -0.026213 Loss_D_fake 0.000886
[801/5000][305/535][82503] Loss_D: -0.021929 Loss_G: 0.010518 Loss_D_real: -0.017151 Loss_D_fake 0.004778
[801/5000][310/535][82504] Loss_D: -0.021773 Loss_G: 0.003825 Loss_D_real: -0.019167 Loss_D_fake 0.002605
[801/5000][315/535][82505] Loss_D: -0.021923 Loss_G: 0.000868 Loss_D_real: -0.008384 Loss_D_fake 0.013539
[801/5000][320/535][82506] Loss_D: -0.021731 Loss_G: 0.009633 Loss_D_real: -0.011852 Loss_D_fake 0.009879
[801/5000][325/535][82507] Loss_D: -0.021504 Loss_G: 0.023633 Loss_D_real: -0.031778 Loss_D_fake -0.010274
[801/5000][330/535][82508] Loss_D: -0.024006 Loss_G: 0.007367 Loss_D_real: -0.017508 Loss_D_fake 0.006498
[801/5000][335/535][82509] Loss_D: -0.022771 Loss_G: 0.006530 Loss_D_real: -0.006460 Loss_D_fake 0.016311
[801/5000][340/535][82510] Loss_D: -0.021741 Loss_G: 0.013182 Loss_D_real: -0.028184 Loss_D_fake -0.006443
[801/5000][345/535][82511] Loss_D: -0.022575 Loss_G: 0.006596 Loss_D_real: -0.019961 Loss_D_fake 0.002614
[801/5000][350/535][82512] Loss_D: -0.022892 Loss_G: 0.016298 Loss_D_real: -0.030730 Loss_D_fake -0.007838
[801/5000][355/535][82513] Loss_D: -0.023251 Loss_G: 0.014862 Loss_D_real: -0.023452 Loss_D_fake -0.000202
[801/5000][360/535][82514] Loss_D: -0.024865 Loss_G: 0.005920 Loss_D_real: -0.022441 Loss_D_fake 0.002424
[801/5000][365/535][82515] Loss_D: -0.023703 Loss_G: -0.012851 Loss_D_real: -0.006594 Loss_D_fake 0.017109
[801/5000][370/535][82516] Loss_D: -0.021968 Loss_G: 0.016274 Loss_D_real: -0.024399 Loss_D_fake -0.002432
[801/5000][375/535][82517] Loss_D: -0.023019 Loss_G: 0.012108 Loss_D_real: -0.022277 Loss_D_fake 0.000742
[801/5000][380/535][82518] Loss_D: -0.023562 Loss_G: 0.020597 Loss_D_real: -0.021820 Loss_D_fake 0.001743
[801/5000][385/535][82519] Loss_D: -0.022795 Loss_G: 0.006909 Loss_D_real: -0.021139 Loss_D_fake 0.001656
[801/5000][390/535][82520] Loss_D: -0.022100 Loss_G: 0.026702 Loss_D_real: -0.033392 Loss_D_fake -0.011292
[801/5000][395/535][82521] Loss_D: -0.023862 Loss_G: -0.004577 Loss_D_real: -0.020904 Loss_D_fake 0.002958
[801/5000][400/535][82522] Loss_D: -0.023079 Loss_G: 0.008202 Loss_D_real: -0.021800 Loss_D_fake 0.001279
[801/5000][405/535][82523] Loss_D: -0.023694 Loss_G: 0.004132 Loss_D_real: -0.016085 Loss_D_fake 0.007609
[801/5000][410/535][82524] Loss_D: -0.023134 Loss_G: 0.003233 Loss_D_real: -0.007086 Loss_D_fake 0.016048
[801/5000][415/535][82525] Loss_D: -0.021327 Loss_G: 0.025929 Loss_D_real: -0.029174 Loss_D_fake -0.007847
[801/5000][420/535][82526] Loss_D: -0.024907 Loss_G: 0.007373 Loss_D_real: -0.018991 Loss_D_fake 0.005916
[801/5000][425/535][82527] Loss_D: -0.022824 Loss_G: 0.000350 Loss_D_real: -0.002632 Loss_D_fake 0.020192
[801/5000][430/535][82528] Loss_D: -0.024070 Loss_G: 0.002466 Loss_D_real: -0.014023 Loss_D_fake 0.010047
[801/5000][435/535][82529] Loss_D: -0.023261 Loss_G: 0.018778 Loss_D_real: -0.030853 Loss_D_fake -0.007592
[801/5000][440/535][82530] Loss_D: -0.023893 Loss_G: 0.020097 Loss_D_real: -0.024386 Loss_D_fake -0.000493
[801/5000][445/535][82531] Loss_D: -0.023608 Loss_G: -0.001830 Loss_D_real: -0.010320 Loss_D_fake 0.013288
[801/5000][450/535][82532] Loss_D: -0.023089 Loss_G: 0.022252 Loss_D_real: -0.028329 Loss_D_fake -0.005240
[801/5000][455/535][82533] Loss_D: -0.023226 Loss_G: -0.001792 Loss_D_real: -0.015781 Loss_D_fake 0.007445
[801/5000][460/535][82534] Loss_D: -0.024287 Loss_G: 0.004917 Loss_D_real: -0.025263 Loss_D_fake -0.000976
[801/5000][465/535][82535] Loss_D: -0.023192 Loss_G: 0.017513 Loss_D_real: -0.020106 Loss_D_fake 0.003086
[801/5000][470/535][82536] Loss_D: -0.024793 Loss_G: 0.001790 Loss_D_real: -0.022073 Loss_D_fake 0.002720
[801/5000][475/535][82537] Loss_D: -0.024280 Loss_G: 0.010445 Loss_D_real: -0.018433 Loss_D_fake 0.005847
[801/5000][480/535][82538] Loss_D: -0.023960 Loss_G: 0.005763 Loss_D_real: -0.010485 Loss_D_fake 0.013476
[801/5000][485/535][82539] Loss_D: -0.024179 Loss_G: 0.004770 Loss_D_real: -0.019665 Loss_D_fake 0.004514
[801/5000][490/535][82540] Loss_D: -0.022609 Loss_G: 0.030637 Loss_D_real: -0.026833 Loss_D_fake -0.004224
[801/5000][495/535][82541] Loss_D: -0.023575 Loss_G: 0.011715 Loss_D_real: -0.026727 Loss_D_fake -0.003151
[801/5000][500/535][82542] Loss_D: -0.023770 Loss_G: 0.006152 Loss_D_real: -0.014114 Loss_D_fake 0.009656
[801/5000][505/535][82543] Loss_D: -0.024756 Loss_G: -0.001103 Loss_D_real: -0.013648 Loss_D_fake 0.011108
[801/5000][510/535][82544] Loss_D: -0.024212 Loss_G: 0.010817 Loss_D_real: -0.019673 Loss_D_fake 0.004539
[801/5000][515/535][82545] Loss_D: -0.023603 Loss_G: 0.023447 Loss_D_real: -0.024714 Loss_D_fake -0.001110
[801/5000][520/535][82546] Loss_D: -0.025037 Loss_G: 0.013341 Loss_D_real: -0.025825 Loss_D_fake -0.000788
[801/5000][525/535][82547] Loss_D: -0.022832 Loss_G: -0.015282 Loss_D_real: -0.013154 Loss_D_fake 0.009678
[801/5000][530/535][82548] Loss_D: -0.022790 Loss_G: 0.004380 Loss_D_real: -0.012549 Loss_D_fake 0.010241
[801/5000][535/535][82549] Loss_D: -0.022009 Loss_G: 0.025542 Loss_D_real: -0.018535 Loss_D_fake 0.003474
[802/5000][5/535][82550] Loss_D: -0.024200 Loss_G: 0.016015 Loss_D_real: -0.019218 Loss_D_fake 0.004982
[802/5000][10/535][82551] Loss_D: -0.023702 Loss_G: 0.010011 Loss_D_real: -0.013831 Loss_D_fake 0.009871
[802/5000][15/535][82552] Loss_D: -0.024008 Loss_G: -0.005550 Loss_D_real: -0.015279 Loss_D_fake 0.008729
[802/5000][20/535][82553] Loss_D: -0.022730 Loss_G: 0.007343 Loss_D_real: -0.026826 Loss_D_fake -0.004096
[802/5000][25/535][82554] Loss_D: -0.022116 Loss_G: 0.020909 Loss_D_real: -0.030835 Loss_D_fake -0.008720
[802/5000][30/535][82555] Loss_D: -0.023226 Loss_G: 0.027243 Loss_D_real: -0.027443 Loss_D_fake -0.004218
[802/5000][35/535][82556] Loss_D: -0.022169 Loss_G: 0.016821 Loss_D_real: -0.021934 Loss_D_fake 0.000236
[802/5000][40/535][82557] Loss_D: -0.024250 Loss_G: 0.008757 Loss_D_real: -0.019921 Loss_D_fake 0.004329
[802/5000][45/535][82558] Loss_D: -0.021797 Loss_G: 0.011187 Loss_D_real: -0.024806 Loss_D_fake -0.003009
[802/5000][50/535][82559] Loss_D: -0.023185 Loss_G: -0.001528 Loss_D_real: -0.017889 Loss_D_fake 0.005296
[802/5000][55/535][82560] Loss_D: -0.024117 Loss_G: 0.004720 Loss_D_real: -0.011363 Loss_D_fake 0.012754
[802/5000][60/535][82561] Loss_D: -0.024292 Loss_G: 0.009128 Loss_D_real: -0.022148 Loss_D_fake 0.002144
[802/5000][65/535][82562] Loss_D: -0.023651 Loss_G: -0.002497 Loss_D_real: -0.005113 Loss_D_fake 0.018538
[802/5000][70/535][82563] Loss_D: -0.024337 Loss_G: 0.002393 Loss_D_real: -0.011110 Loss_D_fake 0.013227
[802/5000][75/535][82564] Loss_D: -0.024093 Loss_G: 0.000755 Loss_D_real: -0.018278 Loss_D_fake 0.005814
[802/5000][80/535][82565] Loss_D: -0.023307 Loss_G: 0.023553 Loss_D_real: -0.024272 Loss_D_fake -0.000965
[802/5000][85/535][82566] Loss_D: -0.024617 Loss_G: -0.006421 Loss_D_real: -0.009894 Loss_D_fake 0.014723
[802/5000][90/535][82567] Loss_D: -0.024098 Loss_G: 0.015211 Loss_D_real: -0.016924 Loss_D_fake 0.007173
[802/5000][95/535][82568] Loss_D: -0.024968 Loss_G: 0.010242 Loss_D_real: -0.015871 Loss_D_fake 0.009097
[802/5000][100/535][82569] Loss_D: -0.024168 Loss_G: 0.016080 Loss_D_real: -0.018754 Loss_D_fake 0.005415
[802/5000][105/535][82570] Loss_D: -0.024258 Loss_G: -0.005643 Loss_D_real: -0.012300 Loss_D_fake 0.011958
[802/5000][110/535][82571] Loss_D: -0.021892 Loss_G: 0.021739 Loss_D_real: -0.028837 Loss_D_fake -0.006945
[802/5000][115/535][82572] Loss_D: -0.023735 Loss_G: -0.011180 Loss_D_real: -0.005874 Loss_D_fake 0.017861
[802/5000][120/535][82573] Loss_D: -0.023669 Loss_G: 0.018870 Loss_D_real: -0.015072 Loss_D_fake 0.008597
[802/5000][125/535][82574] Loss_D: -0.024698 Loss_G: 0.021791 Loss_D_real: -0.020958 Loss_D_fake 0.003740
[802/5000][130/535][82575] Loss_D: -0.023584 Loss_G: -0.010476 Loss_D_real: -0.002520 Loss_D_fake 0.021063
[802/5000][135/535][82576] Loss_D: -0.022427 Loss_G: 0.022065 Loss_D_real: -0.027311 Loss_D_fake -0.004883
[802/5000][140/535][82577] Loss_D: -0.024099 Loss_G: -0.001103 Loss_D_real: -0.017255 Loss_D_fake 0.006844
[802/5000][145/535][82578] Loss_D: -0.023952 Loss_G: 0.011867 Loss_D_real: -0.027186 Loss_D_fake -0.003233
[802/5000][150/535][82579] Loss_D: -0.023835 Loss_G: 0.004271 Loss_D_real: -0.009502 Loss_D_fake 0.014333
[802/5000][155/535][82580] Loss_D: -0.022733 Loss_G: 0.008894 Loss_D_real: -0.024381 Loss_D_fake -0.001648
[802/5000][160/535][82581] Loss_D: -0.024007 Loss_G: -0.000850 Loss_D_real: -0.025150 Loss_D_fake -0.001143
[802/5000][165/535][82582] Loss_D: -0.022698 Loss_G: 0.000215 Loss_D_real: -0.016049 Loss_D_fake 0.006649
[802/5000][170/535][82583] Loss_D: -0.023144 Loss_G: 0.004263 Loss_D_real: -0.007357 Loss_D_fake 0.015787
[802/5000][175/535][82584] Loss_D: -0.024255 Loss_G: -0.003582 Loss_D_real: -0.005245 Loss_D_fake 0.019009
[802/5000][180/535][82585] Loss_D: -0.023587 Loss_G: 0.016052 Loss_D_real: -0.023957 Loss_D_fake -0.000369
[802/5000][185/535][82586] Loss_D: -0.023474 Loss_G: -0.008957 Loss_D_real: -0.002987 Loss_D_fake 0.020487
[802/5000][190/535][82587] Loss_D: -0.022673 Loss_G: 0.018621 Loss_D_real: -0.023991 Loss_D_fake -0.001319
[802/5000][195/535][82588] Loss_D: -0.023340 Loss_G: 0.002648 Loss_D_real: -0.016567 Loss_D_fake 0.006773
[802/5000][200/535][82589] Loss_D: -0.022663 Loss_G: 0.009897 Loss_D_real: -0.014264 Loss_D_fake 0.008399
[802/5000][205/535][82590] Loss_D: -0.023829 Loss_G: 0.000120 Loss_D_real: -0.021564 Loss_D_fake 0.002265
[802/5000][210/535][82591] Loss_D: -0.022217 Loss_G: 0.018577 Loss_D_real: -0.037170 Loss_D_fake -0.014953
[802/5000][215/535][82592] Loss_D: -0.024277 Loss_G: 0.024835 Loss_D_real: -0.037222 Loss_D_fake -0.012945
[802/5000][220/535][82593] Loss_D: -0.024525 Loss_G: 0.011197 Loss_D_real: -0.022643 Loss_D_fake 0.001882
[802/5000][225/535][82594] Loss_D: -0.024171 Loss_G: 0.006857 Loss_D_real: -0.005439 Loss_D_fake 0.018732
[802/5000][230/535][82595] Loss_D: -0.024022 Loss_G: 0.007108 Loss_D_real: -0.017151 Loss_D_fake 0.006871
[802/5000][235/535][82596] Loss_D: -0.022550 Loss_G: -0.004138 Loss_D_real: -0.017444 Loss_D_fake 0.005106
[802/5000][240/535][82597] Loss_D: -0.022777 Loss_G: 0.019943 Loss_D_real: -0.022507 Loss_D_fake 0.000270
[802/5000][245/535][82598] Loss_D: -0.022157 Loss_G: 0.013512 Loss_D_real: -0.029841 Loss_D_fake -0.007684
[802/5000][250/535][82599] Loss_D: -0.022445 Loss_G: 0.022587 Loss_D_real: -0.033269 Loss_D_fake -0.010824
[802/5000][255/535][82600] Loss_D: -0.024724 Loss_G: 0.005865 Loss_D_real: -0.022955 Loss_D_fake 0.001769
[802/5000][260/535][82601] Loss_D: -0.024638 Loss_G: -0.006128 Loss_D_real: -0.024494 Loss_D_fake 0.000144
[802/5000][265/535][82602] Loss_D: -0.022550 Loss_G: 0.001832 Loss_D_real: -0.006387 Loss_D_fake 0.016163
[802/5000][270/535][82603] Loss_D: -0.023132 Loss_G: 0.008370 Loss_D_real: -0.020515 Loss_D_fake 0.002618
[802/5000][275/535][82604] Loss_D: -0.023067 Loss_G: -0.002037 Loss_D_real: -0.009612 Loss_D_fake 0.013455
[802/5000][280/535][82605] Loss_D: -0.020316 Loss_G: 0.024423 Loss_D_real: -0.027552 Loss_D_fake -0.007235
[802/5000][285/535][82606] Loss_D: -0.022669 Loss_G: 0.018500 Loss_D_real: -0.024244 Loss_D_fake -0.001575
[802/5000][290/535][82607] Loss_D: -0.022226 Loss_G: 0.023628 Loss_D_real: -0.026019 Loss_D_fake -0.003793
[802/5000][295/535][82608] Loss_D: -0.022598 Loss_G: 0.009127 Loss_D_real: -0.023237 Loss_D_fake -0.000639
[802/5000][300/535][82609] Loss_D: -0.022708 Loss_G: 0.008342 Loss_D_real: -0.018781 Loss_D_fake 0.003926
[802/5000][305/535][82610] Loss_D: -0.022419 Loss_G: -0.010938 Loss_D_real: -0.003961 Loss_D_fake 0.018458
[802/5000][310/535][82611] Loss_D: -0.023734 Loss_G: 0.007334 Loss_D_real: -0.010828 Loss_D_fake 0.012906
[802/5000][315/535][82612] Loss_D: -0.023438 Loss_G: 0.014552 Loss_D_real: -0.028700 Loss_D_fake -0.005262
[802/5000][320/535][82613] Loss_D: -0.022409 Loss_G: 0.022514 Loss_D_real: -0.031742 Loss_D_fake -0.009333
[802/5000][325/535][82614] Loss_D: -0.024015 Loss_G: 0.013133 Loss_D_real: -0.020009 Loss_D_fake 0.004006
[802/5000][330/535][82615] Loss_D: -0.023205 Loss_G: 0.007045 Loss_D_real: -0.017333 Loss_D_fake 0.005872
[802/5000][335/535][82616] Loss_D: -0.024228 Loss_G: 0.014778 Loss_D_real: -0.026794 Loss_D_fake -0.002567
[802/5000][340/535][82617] Loss_D: -0.023590 Loss_G: -0.011234 Loss_D_real: -0.006562 Loss_D_fake 0.017028
[802/5000][345/535][82618] Loss_D: -0.024363 Loss_G: 0.010853 Loss_D_real: -0.019022 Loss_D_fake 0.005341
[802/5000][350/535][82619] Loss_D: -0.024528 Loss_G: 0.005892 Loss_D_real: -0.013596 Loss_D_fake 0.010932
[802/5000][355/535][82620] Loss_D: -0.025363 Loss_G: -0.000387 Loss_D_real: -0.017267 Loss_D_fake 0.008096
[802/5000][360/535][82621] Loss_D: -0.023860 Loss_G: -0.001377 Loss_D_real: -0.005953 Loss_D_fake 0.017907
[802/5000][365/535][82622] Loss_D: -0.024564 Loss_G: 0.006503 Loss_D_real: -0.023500 Loss_D_fake 0.001064
[802/5000][370/535][82623] Loss_D: -0.023575 Loss_G: 0.029943 Loss_D_real: -0.030522 Loss_D_fake -0.006946
[802/5000][375/535][82624] Loss_D: -0.023607 Loss_G: 0.026549 Loss_D_real: -0.022901 Loss_D_fake 0.000706
[802/5000][380/535][82625] Loss_D: -0.024998 Loss_G: 0.021431 Loss_D_real: -0.016859 Loss_D_fake 0.008140
[802/5000][385/535][82626] Loss_D: -0.024424 Loss_G: -0.000456 Loss_D_real: -0.010391 Loss_D_fake 0.014033
[802/5000][390/535][82627] Loss_D: -0.023069 Loss_G: 0.007095 Loss_D_real: -0.023720 Loss_D_fake -0.000651
[802/5000][395/535][82628] Loss_D: -0.022737 Loss_G: 0.006115 Loss_D_real: -0.016017 Loss_D_fake 0.006721
[802/5000][400/535][82629] Loss_D: -0.022878 Loss_G: -0.004981 Loss_D_real: -0.011413 Loss_D_fake 0.011465
[802/5000][405/535][82630] Loss_D: -0.022115 Loss_G: 0.014986 Loss_D_real: -0.027562 Loss_D_fake -0.005447
[802/5000][410/535][82631] Loss_D: -0.022961 Loss_G: 0.007023 Loss_D_real: -0.010776 Loss_D_fake 0.012185
[802/5000][415/535][82632] Loss_D: -0.024050 Loss_G: 0.007774 Loss_D_real: -0.014251 Loss_D_fake 0.009799
[802/5000][420/535][82633] Loss_D: -0.023825 Loss_G: 0.015423 Loss_D_real: -0.024539 Loss_D_fake -0.000713
[802/5000][425/535][82634] Loss_D: -0.024062 Loss_G: 0.007180 Loss_D_real: -0.012480 Loss_D_fake 0.011582
[802/5000][430/535][82635] Loss_D: -0.022562 Loss_G: 0.019118 Loss_D_real: -0.035634 Loss_D_fake -0.013072
[802/5000][435/535][82636] Loss_D: -0.023382 Loss_G: 0.002233 Loss_D_real: -0.014930 Loss_D_fake 0.008451
[802/5000][440/535][82637] Loss_D: -0.024115 Loss_G: 0.004164 Loss_D_real: -0.010967 Loss_D_fake 0.013149
[802/5000][445/535][82638] Loss_D: -0.023501 Loss_G: 0.029756 Loss_D_real: -0.036560 Loss_D_fake -0.013059
[802/5000][450/535][82639] Loss_D: -0.024096 Loss_G: 0.013747 Loss_D_real: -0.043892 Loss_D_fake -0.019796
[802/5000][455/535][82640] Loss_D: -0.023607 Loss_G: -0.007961 Loss_D_real: -0.012042 Loss_D_fake 0.011565
[802/5000][460/535][82641] Loss_D: -0.022619 Loss_G: 0.021483 Loss_D_real: -0.025533 Loss_D_fake -0.002914
[802/5000][465/535][82642] Loss_D: -0.022838 Loss_G: 0.005065 Loss_D_real: -0.010075 Loss_D_fake 0.012763
[802/5000][470/535][82643] Loss_D: -0.021149 Loss_G: -0.015238 Loss_D_real: 0.007428 Loss_D_fake 0.028578
[802/5000][475/535][82644] Loss_D: -0.024082 Loss_G: 0.016172 Loss_D_real: -0.017508 Loss_D_fake 0.006574
[802/5000][480/535][82645] Loss_D: -0.023687 Loss_G: 0.015991 Loss_D_real: -0.017851 Loss_D_fake 0.005836
[802/5000][485/535][82646] Loss_D: -0.024331 Loss_G: 0.010242 Loss_D_real: -0.016250 Loss_D_fake 0.008081
[802/5000][490/535][82647] Loss_D: -0.023743 Loss_G: -0.005471 Loss_D_real: -0.008830 Loss_D_fake 0.014913
[802/5000][495/535][82648] Loss_D: -0.022841 Loss_G: 0.020962 Loss_D_real: -0.028120 Loss_D_fake -0.005278
[802/5000][500/535][82649] Loss_D: -0.023582 Loss_G: -0.000085 Loss_D_real: -0.006431 Loss_D_fake 0.017150
[802/5000][505/535][82650] Loss_D: -0.024052 Loss_G: 0.016536 Loss_D_real: -0.022655 Loss_D_fake 0.001397
[802/5000][510/535][82651] Loss_D: -0.023577 Loss_G: 0.015628 Loss_D_real: -0.023157 Loss_D_fake 0.000419
[802/5000][515/535][82652] Loss_D: -0.024032 Loss_G: -0.006577 Loss_D_real: -0.011737 Loss_D_fake 0.012295
[802/5000][520/535][82653] Loss_D: -0.021917 Loss_G: 0.024199 Loss_D_real: -0.032189 Loss_D_fake -0.010273
[802/5000][525/535][82654] Loss_D: -0.024619 Loss_G: 0.022458 Loss_D_real: -0.028239 Loss_D_fake -0.003620
[802/5000][530/535][82655] Loss_D: -0.024419 Loss_G: 0.007427 Loss_D_real: -0.010121 Loss_D_fake 0.014298
[802/5000][535/535][82656] Loss_D: -0.024086 Loss_G: 0.029858 Loss_D_real: -0.018010 Loss_D_fake 0.006077
[803/5000][5/535][82657] Loss_D: -0.024765 Loss_G: 0.016310 Loss_D_real: -0.019500 Loss_D_fake 0.005265
[803/5000][10/535][82658] Loss_D: -0.023380 Loss_G: -0.001377 Loss_D_real: -0.011750 Loss_D_fake 0.011630
[803/5000][15/535][82659] Loss_D: -0.021829 Loss_G: 0.009276 Loss_D_real: -0.007170 Loss_D_fake 0.014658
[803/5000][20/535][82660] Loss_D: -0.023940 Loss_G: 0.013424 Loss_D_real: -0.017049 Loss_D_fake 0.006891
[803/5000][25/535][82661] Loss_D: -0.022307 Loss_G: -0.000404 Loss_D_real: -0.009248 Loss_D_fake 0.013060
[803/5000][30/535][82662] Loss_D: -0.022941 Loss_G: 0.001606 Loss_D_real: -0.021151 Loss_D_fake 0.001790
[803/5000][35/535][82663] Loss_D: -0.023926 Loss_G: 0.007960 Loss_D_real: -0.032709 Loss_D_fake -0.008782
[803/5000][40/535][82664] Loss_D: -0.023404 Loss_G: 0.015473 Loss_D_real: -0.020169 Loss_D_fake 0.003235
[803/5000][45/535][82665] Loss_D: -0.022895 Loss_G: 0.025374 Loss_D_real: -0.029288 Loss_D_fake -0.006393
[803/5000][50/535][82666] Loss_D: -0.023079 Loss_G: 0.013125 Loss_D_real: -0.021365 Loss_D_fake 0.001714
[803/5000][55/535][82667] Loss_D: -0.020646 Loss_G: 0.020919 Loss_D_real: -0.040896 Loss_D_fake -0.020250
[803/5000][60/535][82668] Loss_D: -0.021642 Loss_G: 0.010859 Loss_D_real: -0.024926 Loss_D_fake -0.003285
[803/5000][65/535][82669] Loss_D: -0.023795 Loss_G: 0.012828 Loss_D_real: -0.026591 Loss_D_fake -0.002796
[803/5000][70/535][82670] Loss_D: -0.024297 Loss_G: 0.003769 Loss_D_real: -0.019097 Loss_D_fake 0.005200
[803/5000][75/535][82671] Loss_D: -0.023288 Loss_G: 0.025505 Loss_D_real: -0.033702 Loss_D_fake -0.010414
[803/5000][80/535][82672] Loss_D: -0.023810 Loss_G: -0.010292 Loss_D_real: -0.008021 Loss_D_fake 0.015789
[803/5000][85/535][82673] Loss_D: -0.023339 Loss_G: 0.025798 Loss_D_real: -0.024254 Loss_D_fake -0.000915
[803/5000][90/535][82674] Loss_D: -0.022591 Loss_G: 0.012312 Loss_D_real: -0.031582 Loss_D_fake -0.008991
[803/5000][95/535][82675] Loss_D: -0.024094 Loss_G: -0.008820 Loss_D_real: -0.016209 Loss_D_fake 0.007885
[803/5000][100/535][82676] Loss_D: -0.022249 Loss_G: 0.009560 Loss_D_real: -0.026039 Loss_D_fake -0.003790
[803/5000][105/535][82677] Loss_D: -0.023557 Loss_G: 0.016670 Loss_D_real: -0.025314 Loss_D_fake -0.001757
[803/5000][110/535][82678] Loss_D: -0.024093 Loss_G: 0.020525 Loss_D_real: -0.021468 Loss_D_fake 0.002625
[803/5000][115/535][82679] Loss_D: -0.023374 Loss_G: 0.016269 Loss_D_real: -0.022346 Loss_D_fake 0.001028
[803/5000][120/535][82680] Loss_D: -0.025133 Loss_G: 0.015646 Loss_D_real: -0.032062 Loss_D_fake -0.006929
[803/5000][125/535][82681] Loss_D: -0.025548 Loss_G: -0.001790 Loss_D_real: -0.012272 Loss_D_fake 0.013276
[803/5000][130/535][82682] Loss_D: -0.023119 Loss_G: 0.011301 Loss_D_real: -0.024122 Loss_D_fake -0.001003
[803/5000][135/535][82683] Loss_D: -0.022924 Loss_G: -0.002955 Loss_D_real: -0.008663 Loss_D_fake 0.014261
[803/5000][140/535][82684] Loss_D: -0.022956 Loss_G: 0.013835 Loss_D_real: -0.017219 Loss_D_fake 0.005737
[803/5000][145/535][82685] Loss_D: -0.022984 Loss_G: 0.007784 Loss_D_real: -0.026265 Loss_D_fake -0.003281
[803/5000][150/535][82686] Loss_D: -0.021754 Loss_G: 0.032293 Loss_D_real: -0.025230 Loss_D_fake -0.003476
[803/5000][155/535][82687] Loss_D: -0.023236 Loss_G: 0.012516 Loss_D_real: -0.025734 Loss_D_fake -0.002498
[803/5000][160/535][82688] Loss_D: -0.023500 Loss_G: -0.006009 Loss_D_real: -0.010572 Loss_D_fake 0.012928
[803/5000][165/535][82689] Loss_D: -0.022592 Loss_G: 0.013143 Loss_D_real: -0.025491 Loss_D_fake -0.002899
[803/5000][170/535][82690] Loss_D: -0.022693 Loss_G: 0.023172 Loss_D_real: -0.031007 Loss_D_fake -0.008314
[803/5000][175/535][82691] Loss_D: -0.023352 Loss_G: 0.000565 Loss_D_real: -0.021947 Loss_D_fake 0.001405
[803/5000][180/535][82692] Loss_D: -0.022526 Loss_G: -0.005735 Loss_D_real: -0.007826 Loss_D_fake 0.014700
[803/5000][185/535][82693] Loss_D: -0.024045 Loss_G: -0.008939 Loss_D_real: -0.009465 Loss_D_fake 0.014580
[803/5000][190/535][82694] Loss_D: -0.025577 Loss_G: 0.022192 Loss_D_real: -0.024625 Loss_D_fake 0.000952
[803/5000][195/535][82695] Loss_D: -0.024772 Loss_G: 0.001989 Loss_D_real: -0.006673 Loss_D_fake 0.018098
[803/5000][200/535][82696] Loss_D: -0.024233 Loss_G: 0.001948 Loss_D_real: -0.022919 Loss_D_fake 0.001314
[803/5000][205/535][82697] Loss_D: -0.024664 Loss_G: 0.017293 Loss_D_real: -0.013232 Loss_D_fake 0.011432
[803/5000][210/535][82698] Loss_D: -0.024137 Loss_G: -0.002191 Loss_D_real: -0.010475 Loss_D_fake 0.013662
[803/5000][215/535][82699] Loss_D: -0.022875 Loss_G: 0.013046 Loss_D_real: -0.011828 Loss_D_fake 0.011047
[803/5000][220/535][82700] Loss_D: -0.023375 Loss_G: 0.022676 Loss_D_real: -0.032119 Loss_D_fake -0.008745
[803/5000][225/535][82701] Loss_D: -0.024784 Loss_G: 0.023244 Loss_D_real: -0.027445 Loss_D_fake -0.002661
[803/5000][230/535][82702] Loss_D: -0.024514 Loss_G: 0.010789 Loss_D_real: -0.014373 Loss_D_fake 0.010142
[803/5000][235/535][82703] Loss_D: -0.025594 Loss_G: 0.007592 Loss_D_real: -0.017187 Loss_D_fake 0.008407
[803/5000][240/535][82704] Loss_D: -0.023643 Loss_G: 0.005431 Loss_D_real: -0.025456 Loss_D_fake -0.001813
[803/5000][245/535][82705] Loss_D: -0.024660 Loss_G: -0.004066 Loss_D_real: -0.008429 Loss_D_fake 0.016232
[803/5000][250/535][82706] Loss_D: -0.021539 Loss_G: 0.037416 Loss_D_real: -0.032849 Loss_D_fake -0.011311
[803/5000][255/535][82707] Loss_D: -0.023283 Loss_G: 0.013374 Loss_D_real: -0.014922 Loss_D_fake 0.008360
[803/5000][260/535][82708] Loss_D: -0.024152 Loss_G: 0.011338 Loss_D_real: -0.035796 Loss_D_fake -0.011644
[803/5000][265/535][82709] Loss_D: -0.024692 Loss_G: 0.019425 Loss_D_real: -0.033430 Loss_D_fake -0.008737
[803/5000][270/535][82710] Loss_D: -0.023782 Loss_G: -0.009642 Loss_D_real: -0.003720 Loss_D_fake 0.020062
[803/5000][275/535][82711] Loss_D: -0.024247 Loss_G: 0.002252 Loss_D_real: -0.009966 Loss_D_fake 0.014281
[803/5000][280/535][82712] Loss_D: -0.022095 Loss_G: 0.022987 Loss_D_real: -0.026601 Loss_D_fake -0.004506
[803/5000][285/535][82713] Loss_D: -0.024188 Loss_G: 0.016122 Loss_D_real: -0.019683 Loss_D_fake 0.004505
[803/5000][290/535][82714] Loss_D: -0.024649 Loss_G: 0.006778 Loss_D_real: -0.032437 Loss_D_fake -0.007788
[803/5000][295/535][82715] Loss_D: -0.022805 Loss_G: -0.002998 Loss_D_real: -0.012175 Loss_D_fake 0.010631
[803/5000][300/535][82716] Loss_D: -0.024245 Loss_G: 0.019817 Loss_D_real: -0.033226 Loss_D_fake -0.008981
[803/5000][305/535][82717] Loss_D: -0.023863 Loss_G: 0.013735 Loss_D_real: -0.012789 Loss_D_fake 0.011074
[803/5000][310/535][82718] Loss_D: -0.023814 Loss_G: -0.003366 Loss_D_real: -0.007920 Loss_D_fake 0.015894
[803/5000][315/535][82719] Loss_D: -0.023919 Loss_G: 0.013348 Loss_D_real: -0.016574 Loss_D_fake 0.007345
[803/5000][320/535][82720] Loss_D: -0.026078 Loss_G: 0.004478 Loss_D_real: -0.021940 Loss_D_fake 0.004137
[803/5000][325/535][82721] Loss_D: -0.024316 Loss_G: 0.020737 Loss_D_real: -0.025443 Loss_D_fake -0.001126
[803/5000][330/535][82722] Loss_D: -0.023149 Loss_G: 0.007488 Loss_D_real: -0.003750 Loss_D_fake 0.019399
[803/5000][335/535][82723] Loss_D: -0.023074 Loss_G: -0.009357 Loss_D_real: -0.013826 Loss_D_fake 0.009248
[803/5000][340/535][82724] Loss_D: -0.023702 Loss_G: 0.003740 Loss_D_real: -0.014074 Loss_D_fake 0.009628
[803/5000][345/535][82725] Loss_D: -0.022842 Loss_G: 0.010858 Loss_D_real: -0.016791 Loss_D_fake 0.006051
[803/5000][350/535][82726] Loss_D: -0.021756 Loss_G: 0.010182 Loss_D_real: -0.020736 Loss_D_fake 0.001020
[803/5000][355/535][82727] Loss_D: -0.023797 Loss_G: 0.012570 Loss_D_real: -0.026473 Loss_D_fake -0.002676
[803/5000][360/535][82728] Loss_D: -0.022573 Loss_G: -0.017238 Loss_D_real: -0.000832 Loss_D_fake 0.021740
[803/5000][365/535][82729] Loss_D: -0.023668 Loss_G: 0.003655 Loss_D_real: -0.014076 Loss_D_fake 0.009592
[803/5000][370/535][82730] Loss_D: -0.023426 Loss_G: 0.020057 Loss_D_real: -0.024628 Loss_D_fake -0.001202
[803/5000][375/535][82731] Loss_D: -0.023348 Loss_G: -0.004014 Loss_D_real: -0.009701 Loss_D_fake 0.013647
[803/5000][380/535][82732] Loss_D: -0.022069 Loss_G: 0.028199 Loss_D_real: -0.033335 Loss_D_fake -0.011266
[803/5000][385/535][82733] Loss_D: -0.023899 Loss_G: -0.005008 Loss_D_real: -0.009331 Loss_D_fake 0.014568
[803/5000][390/535][82734] Loss_D: -0.022259 Loss_G: 0.008513 Loss_D_real: -0.022658 Loss_D_fake -0.000398
[803/5000][395/535][82735] Loss_D: -0.023299 Loss_G: 0.012542 Loss_D_real: -0.028335 Loss_D_fake -0.005036
[803/5000][400/535][82736] Loss_D: -0.023648 Loss_G: 0.009582 Loss_D_real: -0.019207 Loss_D_fake 0.004440
[803/5000][405/535][82737] Loss_D: -0.022512 Loss_G: 0.011170 Loss_D_real: -0.023137 Loss_D_fake -0.000625
[803/5000][410/535][82738] Loss_D: -0.021199 Loss_G: 0.024640 Loss_D_real: -0.031717 Loss_D_fake -0.010518
[803/5000][415/535][82739] Loss_D: -0.021937 Loss_G: -0.007336 Loss_D_real: -0.003545 Loss_D_fake 0.018392
[803/5000][420/535][82740] Loss_D: -0.021346 Loss_G: 0.022756 Loss_D_real: -0.025711 Loss_D_fake -0.004365
[803/5000][425/535][82741] Loss_D: -0.022240 Loss_G: 0.018813 Loss_D_real: -0.027917 Loss_D_fake -0.005677
[803/5000][430/535][82742] Loss_D: -0.021946 Loss_G: -0.003103 Loss_D_real: -0.014303 Loss_D_fake 0.007643
[803/5000][435/535][82743] Loss_D: -0.023975 Loss_G: 0.010762 Loss_D_real: -0.016502 Loss_D_fake 0.007473
[803/5000][440/535][82744] Loss_D: -0.022621 Loss_G: 0.012295 Loss_D_real: -0.028846 Loss_D_fake -0.006225
[803/5000][445/535][82745] Loss_D: -0.023093 Loss_G: 0.002911 Loss_D_real: -0.018043 Loss_D_fake 0.005049
[803/5000][450/535][82746] Loss_D: -0.022692 Loss_G: 0.010247 Loss_D_real: -0.028935 Loss_D_fake -0.006243
[803/5000][455/535][82747] Loss_D: -0.024577 Loss_G: -0.010230 Loss_D_real: -0.008669 Loss_D_fake 0.015908
[803/5000][460/535][82748] Loss_D: -0.023386 Loss_G: 0.007441 Loss_D_real: -0.014107 Loss_D_fake 0.009279
[803/5000][465/535][82749] Loss_D: -0.022848 Loss_G: 0.011241 Loss_D_real: -0.012280 Loss_D_fake 0.010568
[803/5000][470/535][82750] Loss_D: -0.023541 Loss_G: 0.018184 Loss_D_real: -0.019955 Loss_D_fake 0.003586
[803/5000][475/535][82751] Loss_D: -0.022170 Loss_G: -0.019828 Loss_D_real: 0.001113 Loss_D_fake 0.023284
[803/5000][480/535][82752] Loss_D: -0.023064 Loss_G: 0.004154 Loss_D_real: -0.015743 Loss_D_fake 0.007321
[803/5000][485/535][82753] Loss_D: -0.023694 Loss_G: 0.000157 Loss_D_real: -0.005008 Loss_D_fake 0.018685
[803/5000][490/535][82754] Loss_D: -0.023510 Loss_G: 0.037659 Loss_D_real: -0.030197 Loss_D_fake -0.006687
[803/5000][495/535][82755] Loss_D: -0.022902 Loss_G: -0.000032 Loss_D_real: -0.008926 Loss_D_fake 0.013977
[803/5000][500/535][82756] Loss_D: -0.021948 Loss_G: 0.019806 Loss_D_real: -0.024852 Loss_D_fake -0.002904
[803/5000][505/535][82757] Loss_D: -0.023149 Loss_G: 0.011092 Loss_D_real: -0.014114 Loss_D_fake 0.009036
[803/5000][510/535][82758] Loss_D: -0.022681 Loss_G: 0.007749 Loss_D_real: -0.009370 Loss_D_fake 0.013311
[803/5000][515/535][82759] Loss_D: -0.022934 Loss_G: -0.007591 Loss_D_real: -0.002654 Loss_D_fake 0.020280
[803/5000][520/535][82760] Loss_D: -0.023392 Loss_G: 0.014544 Loss_D_real: -0.020572 Loss_D_fake 0.002820
[803/5000][525/535][82761] Loss_D: -0.022681 Loss_G: 0.010159 Loss_D_real: -0.013814 Loss_D_fake 0.008866
[803/5000][530/535][82762] Loss_D: -0.022364 Loss_G: -0.004068 Loss_D_real: -0.012411 Loss_D_fake 0.009953
[803/5000][535/535][82763] Loss_D: -0.023202 Loss_G: -0.028395 Loss_D_real: -0.019741 Loss_D_fake 0.003460
[804/5000][5/535][82764] Loss_D: -0.023013 Loss_G: 0.020012 Loss_D_real: -0.023854 Loss_D_fake -0.000841
[804/5000][10/535][82765] Loss_D: -0.023740 Loss_G: -0.000593 Loss_D_real: -0.007087 Loss_D_fake 0.016653
[804/5000][15/535][82766] Loss_D: -0.022945 Loss_G: 0.007093 Loss_D_real: -0.020769 Loss_D_fake 0.002176
[804/5000][20/535][82767] Loss_D: -0.023586 Loss_G: 0.007526 Loss_D_real: -0.019194 Loss_D_fake 0.004392
[804/5000][25/535][82768] Loss_D: -0.022151 Loss_G: -0.014264 Loss_D_real: 0.002640 Loss_D_fake 0.024791
[804/5000][30/535][82769] Loss_D: -0.023502 Loss_G: 0.023217 Loss_D_real: -0.014244 Loss_D_fake 0.009258
[804/5000][35/535][82770] Loss_D: -0.023977 Loss_G: -0.006639 Loss_D_real: -0.020178 Loss_D_fake 0.003798
[804/5000][40/535][82771] Loss_D: -0.021582 Loss_G: 0.025839 Loss_D_real: -0.028201 Loss_D_fake -0.006619
[804/5000][45/535][82772] Loss_D: -0.023709 Loss_G: 0.004187 Loss_D_real: -0.010045 Loss_D_fake 0.013664
[804/5000][50/535][82773] Loss_D: -0.022491 Loss_G: 0.010981 Loss_D_real: -0.032932 Loss_D_fake -0.010441
[804/5000][55/535][82774] Loss_D: -0.023713 Loss_G: -0.012902 Loss_D_real: -0.004086 Loss_D_fake 0.019627
[804/5000][60/535][82775] Loss_D: -0.023815 Loss_G: -0.004458 Loss_D_real: -0.010727 Loss_D_fake 0.013089
[804/5000][65/535][82776] Loss_D: -0.025806 Loss_G: 0.003276 Loss_D_real: -0.018777 Loss_D_fake 0.007029
[804/5000][70/535][82777] Loss_D: -0.023880 Loss_G: 0.019410 Loss_D_real: -0.027225 Loss_D_fake -0.003344
[804/5000][75/535][82778] Loss_D: -0.024450 Loss_G: 0.011500 Loss_D_real: -0.017853 Loss_D_fake 0.006597
[804/5000][80/535][82779] Loss_D: -0.024110 Loss_G: 0.014432 Loss_D_real: -0.020334 Loss_D_fake 0.003776
[804/5000][85/535][82780] Loss_D: -0.024038 Loss_G: 0.008510 Loss_D_real: -0.014584 Loss_D_fake 0.009454
[804/5000][90/535][82781] Loss_D: -0.024106 Loss_G: 0.009795 Loss_D_real: -0.027518 Loss_D_fake -0.003411
[804/5000][95/535][82782] Loss_D: -0.024143 Loss_G: 0.015168 Loss_D_real: -0.027214 Loss_D_fake -0.003071
[804/5000][100/535][82783] Loss_D: -0.024500 Loss_G: 0.012372 Loss_D_real: -0.018432 Loss_D_fake 0.006068
[804/5000][105/535][82784] Loss_D: -0.023022 Loss_G: 0.020212 Loss_D_real: -0.013211 Loss_D_fake 0.009811
[804/5000][110/535][82785] Loss_D: -0.023291 Loss_G: 0.002483 Loss_D_real: -0.013529 Loss_D_fake 0.009762
[804/5000][115/535][82786] Loss_D: -0.023253 Loss_G: 0.022134 Loss_D_real: -0.012821 Loss_D_fake 0.010432
[804/5000][120/535][82787] Loss_D: -0.022393 Loss_G: -0.000999 Loss_D_real: -0.013558 Loss_D_fake 0.008835
[804/5000][125/535][82788] Loss_D: -0.022726 Loss_G: 0.028814 Loss_D_real: -0.022323 Loss_D_fake 0.000402
[804/5000][130/535][82789] Loss_D: -0.023621 Loss_G: 0.005211 Loss_D_real: -0.015533 Loss_D_fake 0.008088
[804/5000][135/535][82790] Loss_D: -0.022447 Loss_G: 0.000753 Loss_D_real: -0.013200 Loss_D_fake 0.009247
[804/5000][140/535][82791] Loss_D: -0.022928 Loss_G: 0.015146 Loss_D_real: -0.029067 Loss_D_fake -0.006139
[804/5000][145/535][82792] Loss_D: -0.024014 Loss_G: 0.002691 Loss_D_real: -0.015470 Loss_D_fake 0.008544
[804/5000][150/535][82793] Loss_D: -0.022935 Loss_G: 0.013554 Loss_D_real: -0.009440 Loss_D_fake 0.013495
[804/5000][155/535][82794] Loss_D: -0.024768 Loss_G: 0.008518 Loss_D_real: -0.018967 Loss_D_fake 0.005801
[804/5000][160/535][82795] Loss_D: -0.024374 Loss_G: 0.007180 Loss_D_real: -0.007835 Loss_D_fake 0.016538
[804/5000][165/535][82796] Loss_D: -0.023739 Loss_G: 0.006368 Loss_D_real: -0.013444 Loss_D_fake 0.010295
[804/5000][170/535][82797] Loss_D: -0.024664 Loss_G: -0.001474 Loss_D_real: -0.008286 Loss_D_fake 0.016377
[804/5000][175/535][82798] Loss_D: -0.023892 Loss_G: -0.012676 Loss_D_real: -0.002046 Loss_D_fake 0.021846
[804/5000][180/535][82799] Loss_D: -0.023015 Loss_G: 0.006206 Loss_D_real: -0.014506 Loss_D_fake 0.008508
[804/5000][185/535][82800] Loss_D: -0.023131 Loss_G: 0.013092 Loss_D_real: -0.026570 Loss_D_fake -0.003439
[804/5000][190/535][82801] Loss_D: -0.022583 Loss_G: 0.012551 Loss_D_real: -0.020626 Loss_D_fake 0.001957
[804/5000][195/535][82802] Loss_D: -0.023171 Loss_G: 0.015410 Loss_D_real: -0.015979 Loss_D_fake 0.007192
[804/5000][200/535][82803] Loss_D: -0.022761 Loss_G: -0.008324 Loss_D_real: -0.007025 Loss_D_fake 0.015735
[804/5000][205/535][82804] Loss_D: -0.022119 Loss_G: 0.002505 Loss_D_real: -0.019555 Loss_D_fake 0.002564
[804/5000][210/535][82805] Loss_D: -0.024286 Loss_G: 0.000510 Loss_D_real: -0.010212 Loss_D_fake 0.014074
[804/5000][215/535][82806] Loss_D: -0.025634 Loss_G: 0.022053 Loss_D_real: -0.028536 Loss_D_fake -0.002902
[804/5000][220/535][82807] Loss_D: -0.024562 Loss_G: 0.017570 Loss_D_real: -0.029351 Loss_D_fake -0.004789
[804/5000][225/535][82808] Loss_D: -0.024893 Loss_G: 0.000881 Loss_D_real: -0.004411 Loss_D_fake 0.020482
[804/5000][230/535][82809] Loss_D: -0.024695 Loss_G: -0.003364 Loss_D_real: -0.019261 Loss_D_fake 0.005435
[804/5000][235/535][82810] Loss_D: -0.025138 Loss_G: 0.005391 Loss_D_real: -0.020798 Loss_D_fake 0.004340
[804/5000][240/535][82811] Loss_D: -0.023400 Loss_G: 0.006023 Loss_D_real: -0.020823 Loss_D_fake 0.002577
[804/5000][245/535][82812] Loss_D: -0.023572 Loss_G: 0.013915 Loss_D_real: -0.028042 Loss_D_fake -0.004469
[804/5000][250/535][82813] Loss_D: -0.023296 Loss_G: -0.016799 Loss_D_real: -0.000080 Loss_D_fake 0.023217
[804/5000][255/535][82814] Loss_D: -0.023205 Loss_G: 0.022748 Loss_D_real: -0.021440 Loss_D_fake 0.001764
[804/5000][260/535][82815] Loss_D: -0.023809 Loss_G: 0.020751 Loss_D_real: -0.029446 Loss_D_fake -0.005637
[804/5000][265/535][82816] Loss_D: -0.023727 Loss_G: 0.004254 Loss_D_real: -0.015262 Loss_D_fake 0.008464
[804/5000][270/535][82817] Loss_D: -0.023471 Loss_G: -0.008596 Loss_D_real: -0.016420 Loss_D_fake 0.007050
[804/5000][275/535][82818] Loss_D: -0.024341 Loss_G: 0.019547 Loss_D_real: -0.008684 Loss_D_fake 0.015657
[804/5000][280/535][82819] Loss_D: -0.024336 Loss_G: 0.010653 Loss_D_real: -0.022168 Loss_D_fake 0.002168
[804/5000][285/535][82820] Loss_D: -0.023249 Loss_G: 0.024119 Loss_D_real: -0.027612 Loss_D_fake -0.004363
[804/5000][290/535][82821] Loss_D: -0.024459 Loss_G: -0.005652 Loss_D_real: -0.012677 Loss_D_fake 0.011781
[804/5000][295/535][82822] Loss_D: -0.024440 Loss_G: 0.031992 Loss_D_real: -0.035063 Loss_D_fake -0.010623
[804/5000][300/535][82823] Loss_D: -0.024235 Loss_G: -0.003338 Loss_D_real: -0.007642 Loss_D_fake 0.016594
[804/5000][305/535][82824] Loss_D: -0.022544 Loss_G: 0.025515 Loss_D_real: -0.024397 Loss_D_fake -0.001853
[804/5000][310/535][82825] Loss_D: -0.021724 Loss_G: 0.027882 Loss_D_real: -0.032524 Loss_D_fake -0.010799
[804/5000][315/535][82826] Loss_D: -0.024264 Loss_G: -0.006106 Loss_D_real: -0.016867 Loss_D_fake 0.007396
[804/5000][320/535][82827] Loss_D: -0.022173 Loss_G: 0.029414 Loss_D_real: -0.023439 Loss_D_fake -0.001265
[804/5000][325/535][82828] Loss_D: -0.023430 Loss_G: 0.001818 Loss_D_real: -0.018430 Loss_D_fake 0.005000
[804/5000][330/535][82829] Loss_D: -0.023174 Loss_G: 0.007737 Loss_D_real: -0.014278 Loss_D_fake 0.008896
[804/5000][335/535][82830] Loss_D: -0.022819 Loss_G: 0.020432 Loss_D_real: -0.024619 Loss_D_fake -0.001800
[804/5000][340/535][82831] Loss_D: -0.021989 Loss_G: 0.022422 Loss_D_real: -0.032946 Loss_D_fake -0.010957
[804/5000][345/535][82832] Loss_D: -0.023745 Loss_G: 0.019858 Loss_D_real: -0.031994 Loss_D_fake -0.008249
[804/5000][350/535][82833] Loss_D: -0.024002 Loss_G: -0.005744 Loss_D_real: -0.007005 Loss_D_fake 0.016997
[804/5000][355/535][82834] Loss_D: -0.022878 Loss_G: 0.027940 Loss_D_real: -0.020851 Loss_D_fake 0.002027
[804/5000][360/535][82835] Loss_D: -0.024043 Loss_G: 0.005623 Loss_D_real: -0.016407 Loss_D_fake 0.007636
[804/5000][365/535][82836] Loss_D: -0.023061 Loss_G: 0.005780 Loss_D_real: -0.016797 Loss_D_fake 0.006264
[804/5000][370/535][82837] Loss_D: -0.022309 Loss_G: 0.018701 Loss_D_real: -0.027780 Loss_D_fake -0.005471
[804/5000][375/535][82838] Loss_D: -0.024988 Loss_G: -0.005843 Loss_D_real: -0.006333 Loss_D_fake 0.018655
[804/5000][380/535][82839] Loss_D: -0.024581 Loss_G: 0.030129 Loss_D_real: -0.027605 Loss_D_fake -0.003024
[804/5000][385/535][82840] Loss_D: -0.023465 Loss_G: -0.003719 Loss_D_real: -0.010798 Loss_D_fake 0.012667
[804/5000][390/535][82841] Loss_D: -0.022829 Loss_G: -0.001305 Loss_D_real: -0.008592 Loss_D_fake 0.014238
[804/5000][395/535][82842] Loss_D: -0.022938 Loss_G: 0.000584 Loss_D_real: -0.013067 Loss_D_fake 0.009871
[804/5000][400/535][82843] Loss_D: -0.022484 Loss_G: 0.026468 Loss_D_real: -0.031131 Loss_D_fake -0.008647
[804/5000][405/535][82844] Loss_D: -0.023427 Loss_G: -0.004491 Loss_D_real: -0.010817 Loss_D_fake 0.012610
[804/5000][410/535][82845] Loss_D: -0.023237 Loss_G: 0.030182 Loss_D_real: -0.028772 Loss_D_fake -0.005535
[804/5000][415/535][82846] Loss_D: -0.023358 Loss_G: 0.016119 Loss_D_real: -0.028466 Loss_D_fake -0.005109
[804/5000][420/535][82847] Loss_D: -0.022319 Loss_G: 0.019657 Loss_D_real: -0.018206 Loss_D_fake 0.004113
[804/5000][425/535][82848] Loss_D: -0.022967 Loss_G: 0.002660 Loss_D_real: -0.018198 Loss_D_fake 0.004768
[804/5000][430/535][82849] Loss_D: -0.022472 Loss_G: -0.001240 Loss_D_real: -0.012654 Loss_D_fake 0.009818
[804/5000][435/535][82850] Loss_D: -0.023588 Loss_G: -0.018018 Loss_D_real: -0.009853 Loss_D_fake 0.013735
[804/5000][440/535][82851] Loss_D: -0.023060 Loss_G: 0.001587 Loss_D_real: -0.005951 Loss_D_fake 0.017109
[804/5000][445/535][82852] Loss_D: -0.022927 Loss_G: 0.007589 Loss_D_real: -0.015907 Loss_D_fake 0.007019
[804/5000][450/535][82853] Loss_D: -0.023687 Loss_G: 0.021068 Loss_D_real: -0.028817 Loss_D_fake -0.005130
[804/5000][455/535][82854] Loss_D: -0.022352 Loss_G: 0.014527 Loss_D_real: -0.026922 Loss_D_fake -0.004570
[804/5000][460/535][82855] Loss_D: -0.024225 Loss_G: 0.012453 Loss_D_real: -0.017555 Loss_D_fake 0.006670
[804/5000][465/535][82856] Loss_D: -0.021442 Loss_G: 0.018770 Loss_D_real: -0.027104 Loss_D_fake -0.005662
[804/5000][470/535][82857] Loss_D: -0.022313 Loss_G: 0.005714 Loss_D_real: -0.019765 Loss_D_fake 0.002548
[804/5000][475/535][82858] Loss_D: -0.023655 Loss_G: 0.001535 Loss_D_real: -0.013170 Loss_D_fake 0.010485
[804/5000][480/535][82859] Loss_D: -0.021999 Loss_G: -0.000355 Loss_D_real: -0.008911 Loss_D_fake 0.013088
[804/5000][485/535][82860] Loss_D: -0.022068 Loss_G: 0.022814 Loss_D_real: -0.042329 Loss_D_fake -0.020260
[804/5000][490/535][82861] Loss_D: -0.023681 Loss_G: 0.006948 Loss_D_real: -0.010426 Loss_D_fake 0.013254
[804/5000][495/535][82862] Loss_D: -0.024329 Loss_G: -0.002918 Loss_D_real: -0.015778 Loss_D_fake 0.008551
[804/5000][500/535][82863] Loss_D: -0.023934 Loss_G: -0.000643 Loss_D_real: -0.005645 Loss_D_fake 0.018289
[804/5000][505/535][82864] Loss_D: -0.022467 Loss_G: 0.024336 Loss_D_real: -0.030792 Loss_D_fake -0.008325
[804/5000][510/535][82865] Loss_D: -0.023237 Loss_G: 0.018773 Loss_D_real: -0.012072 Loss_D_fake 0.011165
[804/5000][515/535][82866] Loss_D: -0.023189 Loss_G: -0.009027 Loss_D_real: -0.003309 Loss_D_fake 0.019881
[804/5000][520/535][82867] Loss_D: -0.022488 Loss_G: 0.011630 Loss_D_real: -0.019349 Loss_D_fake 0.003139
[804/5000][525/535][82868] Loss_D: -0.023512 Loss_G: 0.010313 Loss_D_real: -0.018154 Loss_D_fake 0.005358
[804/5000][530/535][82869] Loss_D: -0.023553 Loss_G: 0.028808 Loss_D_real: -0.029799 Loss_D_fake -0.006246
[804/5000][535/535][82870] Loss_D: -0.023509 Loss_G: -0.018213 Loss_D_real: -0.012239 Loss_D_fake 0.011270
[805/5000][5/535][82871] Loss_D: -0.023232 Loss_G: 0.013465 Loss_D_real: -0.015239 Loss_D_fake 0.007993
[805/5000][10/535][82872] Loss_D: -0.024569 Loss_G: 0.010623 Loss_D_real: -0.022239 Loss_D_fake 0.002330
[805/5000][15/535][82873] Loss_D: -0.022418 Loss_G: 0.005428 Loss_D_real: -0.019465 Loss_D_fake 0.002952
[805/5000][20/535][82874] Loss_D: -0.024239 Loss_G: 0.006442 Loss_D_real: -0.007008 Loss_D_fake 0.017231
[805/5000][25/535][82875] Loss_D: -0.023238 Loss_G: 0.005242 Loss_D_real: -0.015138 Loss_D_fake 0.008100
[805/5000][30/535][82876] Loss_D: -0.024269 Loss_G: 0.001253 Loss_D_real: -0.014794 Loss_D_fake 0.009475
[805/5000][35/535][82877] Loss_D: -0.022608 Loss_G: 0.027771 Loss_D_real: -0.034635 Loss_D_fake -0.012027
[805/5000][40/535][82878] Loss_D: -0.025302 Loss_G: 0.006098 Loss_D_real: -0.023885 Loss_D_fake 0.001418
[805/5000][45/535][82879] Loss_D: -0.023801 Loss_G: 0.030234 Loss_D_real: -0.032244 Loss_D_fake -0.008443
[805/5000][50/535][82880] Loss_D: -0.024094 Loss_G: 0.003610 Loss_D_real: -0.013624 Loss_D_fake 0.010470
[805/5000][55/535][82881] Loss_D: -0.023838 Loss_G: 0.019029 Loss_D_real: -0.021883 Loss_D_fake 0.001956
[805/5000][60/535][82882] Loss_D: -0.025078 Loss_G: 0.014062 Loss_D_real: -0.024529 Loss_D_fake 0.000549
[805/5000][65/535][82883] Loss_D: -0.023613 Loss_G: 0.001401 Loss_D_real: -0.017543 Loss_D_fake 0.006070
[805/5000][70/535][82884] Loss_D: -0.022662 Loss_G: 0.015190 Loss_D_real: -0.017120 Loss_D_fake 0.005542
[805/5000][75/535][82885] Loss_D: -0.023250 Loss_G: 0.021127 Loss_D_real: -0.025510 Loss_D_fake -0.002261
[805/5000][80/535][82886] Loss_D: -0.023241 Loss_G: 0.013862 Loss_D_real: -0.021252 Loss_D_fake 0.001989
[805/5000][85/535][82887] Loss_D: -0.023969 Loss_G: 0.015875 Loss_D_real: -0.026136 Loss_D_fake -0.002167
[805/5000][90/535][82888] Loss_D: -0.023784 Loss_G: 0.011987 Loss_D_real: -0.008473 Loss_D_fake 0.015311
[805/5000][95/535][82889] Loss_D: -0.022786 Loss_G: 0.013251 Loss_D_real: -0.023844 Loss_D_fake -0.001058
[805/5000][100/535][82890] Loss_D: -0.023416 Loss_G: -0.010496 Loss_D_real: -0.005951 Loss_D_fake 0.017464
[805/5000][105/535][82891] Loss_D: -0.024320 Loss_G: 0.011863 Loss_D_real: -0.019098 Loss_D_fake 0.005223
[805/5000][110/535][82892] Loss_D: -0.023334 Loss_G: 0.010002 Loss_D_real: -0.014629 Loss_D_fake 0.008705
[805/5000][115/535][82893] Loss_D: -0.021871 Loss_G: 0.018613 Loss_D_real: -0.023411 Loss_D_fake -0.001539
[805/5000][120/535][82894] Loss_D: -0.023032 Loss_G: -0.000117 Loss_D_real: -0.020334 Loss_D_fake 0.002697
[805/5000][125/535][82895] Loss_D: -0.021932 Loss_G: 0.022632 Loss_D_real: -0.033862 Loss_D_fake -0.011930
[805/5000][130/535][82896] Loss_D: -0.022906 Loss_G: 0.013150 Loss_D_real: -0.019945 Loss_D_fake 0.002961
[805/5000][135/535][82897] Loss_D: -0.022860 Loss_G: 0.008778 Loss_D_real: -0.018775 Loss_D_fake 0.004085
[805/5000][140/535][82898] Loss_D: -0.022632 Loss_G: -0.010582 Loss_D_real: -0.005470 Loss_D_fake 0.017162
[805/5000][145/535][82899] Loss_D: -0.022588 Loss_G: -0.017851 Loss_D_real: -0.003051 Loss_D_fake 0.019537
[805/5000][150/535][82900] Loss_D: -0.024001 Loss_G: 0.007294 Loss_D_real: -0.011633 Loss_D_fake 0.012369
[805/5000][155/535][82901] Loss_D: -0.023169 Loss_G: 0.010396 Loss_D_real: -0.005364 Loss_D_fake 0.017805
[805/5000][160/535][82902] Loss_D: -0.023312 Loss_G: -0.005090 Loss_D_real: -0.000804 Loss_D_fake 0.022508
[805/5000][165/535][82903] Loss_D: -0.024065 Loss_G: 0.013317 Loss_D_real: -0.013949 Loss_D_fake 0.010116
[805/5000][170/535][82904] Loss_D: -0.023942 Loss_G: -0.007522 Loss_D_real: -0.001798 Loss_D_fake 0.022144
[805/5000][175/535][82905] Loss_D: -0.023299 Loss_G: -0.001513 Loss_D_real: -0.013361 Loss_D_fake 0.009938
[805/5000][180/535][82906] Loss_D: -0.023425 Loss_G: -0.002322 Loss_D_real: -0.005816 Loss_D_fake 0.017609
[805/5000][185/535][82907] Loss_D: -0.023009 Loss_G: 0.005439 Loss_D_real: -0.020769 Loss_D_fake 0.002240
[805/5000][190/535][82908] Loss_D: -0.023197 Loss_G: 0.000936 Loss_D_real: -0.018385 Loss_D_fake 0.004813
[805/5000][195/535][82909] Loss_D: -0.023917 Loss_G: 0.013982 Loss_D_real: -0.026110 Loss_D_fake -0.002194
[805/5000][200/535][82910] Loss_D: -0.022985 Loss_G: 0.005137 Loss_D_real: -0.015431 Loss_D_fake 0.007554
[805/5000][205/535][82911] Loss_D: -0.023701 Loss_G: 0.005025 Loss_D_real: -0.026289 Loss_D_fake -0.002588
[805/5000][210/535][82912] Loss_D: -0.023449 Loss_G: 0.004516 Loss_D_real: -0.010813 Loss_D_fake 0.012635
[805/5000][215/535][82913] Loss_D: -0.021099 Loss_G: 0.029654 Loss_D_real: -0.029436 Loss_D_fake -0.008337
[805/5000][220/535][82914] Loss_D: -0.022838 Loss_G: 0.017249 Loss_D_real: -0.018307 Loss_D_fake 0.004531
[805/5000][225/535][82915] Loss_D: -0.023514 Loss_G: -0.002198 Loss_D_real: -0.008686 Loss_D_fake 0.014828
[805/5000][230/535][82916] Loss_D: -0.023288 Loss_G: -0.005331 Loss_D_real: -0.015352 Loss_D_fake 0.007936
[805/5000][235/535][82917] Loss_D: -0.022621 Loss_G: 0.023357 Loss_D_real: -0.033629 Loss_D_fake -0.011009
[805/5000][240/535][82918] Loss_D: -0.023828 Loss_G: 0.012577 Loss_D_real: -0.026764 Loss_D_fake -0.002936
[805/5000][245/535][82919] Loss_D: -0.024263 Loss_G: 0.015297 Loss_D_real: -0.027946 Loss_D_fake -0.003682
[805/5000][250/535][82920] Loss_D: -0.022107 Loss_G: 0.020081 Loss_D_real: -0.025644 Loss_D_fake -0.003537
[805/5000][255/535][82921] Loss_D: -0.022099 Loss_G: -0.002619 Loss_D_real: -0.018943 Loss_D_fake 0.003155
[805/5000][260/535][82922] Loss_D: -0.022352 Loss_G: 0.015718 Loss_D_real: -0.027313 Loss_D_fake -0.004961
[805/5000][265/535][82923] Loss_D: -0.023853 Loss_G: 0.014399 Loss_D_real: -0.019000 Loss_D_fake 0.004853
[805/5000][270/535][82924] Loss_D: -0.023691 Loss_G: 0.015022 Loss_D_real: -0.027748 Loss_D_fake -0.004057
[805/5000][275/535][82925] Loss_D: -0.022953 Loss_G: 0.016427 Loss_D_real: -0.022527 Loss_D_fake 0.000426
[805/5000][280/535][82926] Loss_D: -0.024798 Loss_G: 0.002468 Loss_D_real: -0.019260 Loss_D_fake 0.005538
[805/5000][285/535][82927] Loss_D: -0.023069 Loss_G: -0.001649 Loss_D_real: -0.015662 Loss_D_fake 0.007406
[805/5000][290/535][82928] Loss_D: -0.021657 Loss_G: 0.029467 Loss_D_real: -0.034797 Loss_D_fake -0.013140
[805/5000][295/535][82929] Loss_D: -0.022735 Loss_G: 0.020006 Loss_D_real: -0.026825 Loss_D_fake -0.004089
[805/5000][300/535][82930] Loss_D: -0.023998 Loss_G: 0.012265 Loss_D_real: -0.016741 Loss_D_fake 0.007257
[805/5000][305/535][82931] Loss_D: -0.023992 Loss_G: 0.021870 Loss_D_real: -0.026425 Loss_D_fake -0.002433
[805/5000][310/535][82932] Loss_D: -0.024075 Loss_G: 0.009228 Loss_D_real: -0.021227 Loss_D_fake 0.002848
[805/5000][315/535][82933] Loss_D: -0.022860 Loss_G: 0.017530 Loss_D_real: -0.016001 Loss_D_fake 0.006859
[805/5000][320/535][82934] Loss_D: -0.025650 Loss_G: -0.001205 Loss_D_real: -0.022895 Loss_D_fake 0.002755
[805/5000][325/535][82935] Loss_D: -0.023300 Loss_G: -0.003497 Loss_D_real: -0.010506 Loss_D_fake 0.012794
[805/5000][330/535][82936] Loss_D: -0.022045 Loss_G: -0.006430 Loss_D_real: -0.002039 Loss_D_fake 0.020006
[805/5000][335/535][82937] Loss_D: -0.023989 Loss_G: 0.009478 Loss_D_real: -0.015430 Loss_D_fake 0.008559
[805/5000][340/535][82938] Loss_D: -0.024009 Loss_G: 0.004678 Loss_D_real: -0.021956 Loss_D_fake 0.002054
[805/5000][345/535][82939] Loss_D: -0.023681 Loss_G: 0.021875 Loss_D_real: -0.020670 Loss_D_fake 0.003012
[805/5000][350/535][82940] Loss_D: -0.023561 Loss_G: 0.002033 Loss_D_real: -0.013750 Loss_D_fake 0.009811
[805/5000][355/535][82941] Loss_D: -0.022686 Loss_G: 0.018908 Loss_D_real: -0.024425 Loss_D_fake -0.001739
[805/5000][360/535][82942] Loss_D: -0.025084 Loss_G: 0.009099 Loss_D_real: -0.017347 Loss_D_fake 0.007737
[805/5000][365/535][82943] Loss_D: -0.024067 Loss_G: 0.016626 Loss_D_real: -0.020255 Loss_D_fake 0.003812
[805/5000][370/535][82944] Loss_D: -0.024111 Loss_G: 0.004698 Loss_D_real: -0.012728 Loss_D_fake 0.011383
[805/5000][375/535][82945] Loss_D: -0.023958 Loss_G: 0.015210 Loss_D_real: -0.014379 Loss_D_fake 0.009579
[805/5000][380/535][82946] Loss_D: -0.021827 Loss_G: 0.009115 Loss_D_real: -0.018645 Loss_D_fake 0.003182
[805/5000][385/535][82947] Loss_D: -0.023513 Loss_G: 0.019844 Loss_D_real: -0.030892 Loss_D_fake -0.007378
[805/5000][390/535][82948] Loss_D: -0.022293 Loss_G: 0.026905 Loss_D_real: -0.040161 Loss_D_fake -0.017868
[805/5000][395/535][82949] Loss_D: -0.023866 Loss_G: -0.001874 Loss_D_real: -0.016131 Loss_D_fake 0.007736
[805/5000][400/535][82950] Loss_D: -0.024467 Loss_G: 0.005023 Loss_D_real: -0.019323 Loss_D_fake 0.005144
[805/5000][405/535][82951] Loss_D: -0.023768 Loss_G: 0.018807 Loss_D_real: -0.027539 Loss_D_fake -0.003772
[805/5000][410/535][82952] Loss_D: -0.023366 Loss_G: -0.019720 Loss_D_real: 0.004811 Loss_D_fake 0.028178
[805/5000][415/535][82953] Loss_D: -0.023413 Loss_G: 0.010198 Loss_D_real: -0.015676 Loss_D_fake 0.007737
[805/5000][420/535][82954] Loss_D: -0.024338 Loss_G: -0.001072 Loss_D_real: -0.016230 Loss_D_fake 0.008108
[805/5000][425/535][82955] Loss_D: -0.023628 Loss_G: 0.018177 Loss_D_real: -0.021811 Loss_D_fake 0.001817
[805/5000][430/535][82956] Loss_D: -0.023479 Loss_G: -0.001125 Loss_D_real: -0.009141 Loss_D_fake 0.014338
[805/5000][435/535][82957] Loss_D: -0.023547 Loss_G: 0.022954 Loss_D_real: -0.030304 Loss_D_fake -0.006757
[805/5000][440/535][82958] Loss_D: -0.023587 Loss_G: 0.008163 Loss_D_real: -0.016004 Loss_D_fake 0.007583
[805/5000][445/535][82959] Loss_D: -0.023785 Loss_G: 0.002252 Loss_D_real: -0.001530 Loss_D_fake 0.022256
[805/5000][450/535][82960] Loss_D: -0.022125 Loss_G: 0.017206 Loss_D_real: -0.031819 Loss_D_fake -0.009694
[805/5000][455/535][82961] Loss_D: -0.024824 Loss_G: 0.005933 Loss_D_real: -0.023324 Loss_D_fake 0.001500
[805/5000][460/535][82962] Loss_D: -0.024532 Loss_G: 0.021267 Loss_D_real: -0.025447 Loss_D_fake -0.000915
[805/5000][465/535][82963] Loss_D: -0.024052 Loss_G: 0.020661 Loss_D_real: -0.030480 Loss_D_fake -0.006428
[805/5000][470/535][82964] Loss_D: -0.023865 Loss_G: 0.008455 Loss_D_real: -0.019243 Loss_D_fake 0.004622
[805/5000][475/535][82965] Loss_D: -0.024617 Loss_G: 0.003482 Loss_D_real: -0.006196 Loss_D_fake 0.018421
[805/5000][480/535][82966] Loss_D: -0.023627 Loss_G: 0.022385 Loss_D_real: -0.020025 Loss_D_fake 0.003603
[805/5000][485/535][82967] Loss_D: -0.023867 Loss_G: 0.001766 Loss_D_real: -0.022063 Loss_D_fake 0.001803
[805/5000][490/535][82968] Loss_D: -0.022783 Loss_G: 0.013938 Loss_D_real: -0.025640 Loss_D_fake -0.002856
[805/5000][495/535][82969] Loss_D: -0.024948 Loss_G: 0.000091 Loss_D_real: -0.009367 Loss_D_fake 0.015581
[805/5000][500/535][82970] Loss_D: -0.022881 Loss_G: 0.030479 Loss_D_real: -0.030084 Loss_D_fake -0.007203
[805/5000][505/535][82971] Loss_D: -0.022475 Loss_G: 0.016915 Loss_D_real: -0.023887 Loss_D_fake -0.001412
[805/5000][510/535][82972] Loss_D: -0.023218 Loss_G: 0.019492 Loss_D_real: -0.030988 Loss_D_fake -0.007770
[805/5000][515/535][82973] Loss_D: -0.021625 Loss_G: -0.003347 Loss_D_real: 0.000739 Loss_D_fake 0.022364
[805/5000][520/535][82974] Loss_D: -0.023028 Loss_G: 0.021691 Loss_D_real: -0.016187 Loss_D_fake 0.006841
[805/5000][525/535][82975] Loss_D: -0.022081 Loss_G: 0.020228 Loss_D_real: -0.017647 Loss_D_fake 0.004434
[805/5000][530/535][82976] Loss_D: -0.024202 Loss_G: -0.002502 Loss_D_real: -0.004055 Loss_D_fake 0.020147
[805/5000][535/535][82977] Loss_D: -0.020883 Loss_G: -0.004187 Loss_D_real: -0.023319 Loss_D_fake -0.002436
[806/5000][5/535][82978] Loss_D: -0.023702 Loss_G: 0.020850 Loss_D_real: -0.034117 Loss_D_fake -0.010415
[806/5000][10/535][82979] Loss_D: -0.023144 Loss_G: 0.027678 Loss_D_real: -0.022942 Loss_D_fake 0.000202
[806/5000][15/535][82980] Loss_D: -0.024169 Loss_G: 0.009246 Loss_D_real: -0.015934 Loss_D_fake 0.008235
[806/5000][20/535][82981] Loss_D: -0.023596 Loss_G: 0.002802 Loss_D_real: -0.017045 Loss_D_fake 0.006550
[806/5000][25/535][82982] Loss_D: -0.022421 Loss_G: 0.006720 Loss_D_real: -0.017147 Loss_D_fake 0.005274
[806/5000][30/535][82983] Loss_D: -0.022476 Loss_G: 0.025865 Loss_D_real: -0.032245 Loss_D_fake -0.009769
[806/5000][35/535][82984] Loss_D: -0.023160 Loss_G: 0.003106 Loss_D_real: -0.009633 Loss_D_fake 0.013527
[806/5000][40/535][82985] Loss_D: -0.023035 Loss_G: -0.000199 Loss_D_real: -0.012142 Loss_D_fake 0.010893
[806/5000][45/535][82986] Loss_D: -0.023507 Loss_G: 0.017400 Loss_D_real: -0.029584 Loss_D_fake -0.006077
[806/5000][50/535][82987] Loss_D: -0.022612 Loss_G: 0.007931 Loss_D_real: -0.023629 Loss_D_fake -0.001018
[806/5000][55/535][82988] Loss_D: -0.023139 Loss_G: -0.004286 Loss_D_real: -0.019803 Loss_D_fake 0.003336
[806/5000][60/535][82989] Loss_D: -0.022069 Loss_G: 0.027170 Loss_D_real: -0.032508 Loss_D_fake -0.010439
[806/5000][65/535][82990] Loss_D: -0.023293 Loss_G: 0.006436 Loss_D_real: -0.022316 Loss_D_fake 0.000977
[806/5000][70/535][82991] Loss_D: -0.023089 Loss_G: 0.013307 Loss_D_real: -0.021173 Loss_D_fake 0.001917
[806/5000][75/535][82992] Loss_D: -0.023902 Loss_G: -0.001658 Loss_D_real: -0.010076 Loss_D_fake 0.013826
[806/5000][80/535][82993] Loss_D: -0.024530 Loss_G: 0.014671 Loss_D_real: -0.017785 Loss_D_fake 0.006745
[806/5000][85/535][82994] Loss_D: -0.023652 Loss_G: -0.000527 Loss_D_real: -0.020813 Loss_D_fake 0.002839
[806/5000][90/535][82995] Loss_D: -0.023059 Loss_G: -0.010659 Loss_D_real: -0.005776 Loss_D_fake 0.017283
[806/5000][95/535][82996] Loss_D: -0.023002 Loss_G: -0.001606 Loss_D_real: -0.006435 Loss_D_fake 0.016567
[806/5000][100/535][82997] Loss_D: -0.024731 Loss_G: 0.005392 Loss_D_real: -0.009593 Loss_D_fake 0.015137
[806/5000][105/535][82998] Loss_D: -0.023135 Loss_G: -0.002147 Loss_D_real: -0.007933 Loss_D_fake 0.015202
[806/5000][110/535][82999] Loss_D: -0.022725 Loss_G: 0.019158 Loss_D_real: -0.030466 Loss_D_fake -0.007741
[806/5000][115/535][83000] Loss_D: -0.021440 Loss_G: 0.014158 Loss_D_real: -0.021717 Loss_D_fake -0.000276
[806/5000][215/535][83001] Loss_D: -0.024886 Loss_G: -0.008813 Loss_D_real: -0.009203 Loss_D_fake 0.015683
[806/5000][220/535][83002] Loss_D: -0.024725 Loss_G: 0.016103 Loss_D_real: -0.018161 Loss_D_fake 0.006564
[806/5000][225/535][83003] Loss_D: -0.021578 Loss_G: 0.016330 Loss_D_real: -0.014543 Loss_D_fake 0.007035
[806/5000][230/535][83004] Loss_D: -0.021616 Loss_G: 0.010796 Loss_D_real: -0.013355 Loss_D_fake 0.008261
[806/5000][235/535][83005] Loss_D: -0.022020 Loss_G: 0.007014 Loss_D_real: -0.017345 Loss_D_fake 0.004675
[806/5000][240/535][83006] Loss_D: -0.022700 Loss_G: -0.003619 Loss_D_real: -0.003069 Loss_D_fake 0.019631
[806/5000][245/535][83007] Loss_D: -0.022962 Loss_G: 0.002160 Loss_D_real: -0.016543 Loss_D_fake 0.006418
[806/5000][250/535][83008] Loss_D: -0.024076 Loss_G: 0.012022 Loss_D_real: -0.021917 Loss_D_fake 0.002160
[806/5000][255/535][83009] Loss_D: -0.024451 Loss_G: 0.006966 Loss_D_real: -0.025582 Loss_D_fake -0.001131
[806/5000][260/535][83010] Loss_D: -0.023693 Loss_G: 0.006445 Loss_D_real: -0.027627 Loss_D_fake -0.003934
[806/5000][265/535][83011] Loss_D: -0.023721 Loss_G: 0.015517 Loss_D_real: -0.019662 Loss_D_fake 0.004058
[806/5000][270/535][83012] Loss_D: -0.022847 Loss_G: 0.035931 Loss_D_real: -0.025415 Loss_D_fake -0.002568
[806/5000][275/535][83013] Loss_D: -0.024128 Loss_G: 0.007233 Loss_D_real: -0.026308 Loss_D_fake -0.002180
[806/5000][280/535][83014] Loss_D: -0.022663 Loss_G: -0.002345 Loss_D_real: 0.001020 Loss_D_fake 0.023683
[806/5000][285/535][83015] Loss_D: -0.023093 Loss_G: 0.005835 Loss_D_real: -0.017986 Loss_D_fake 0.005106
[806/5000][290/535][83016] Loss_D: -0.022032 Loss_G: -0.019323 Loss_D_real: -0.000092 Loss_D_fake 0.021940
[806/5000][295/535][83017] Loss_D: -0.023104 Loss_G: 0.025470 Loss_D_real: -0.028891 Loss_D_fake -0.005788
[806/5000][300/535][83018] Loss_D: -0.022801 Loss_G: 0.034195 Loss_D_real: -0.028806 Loss_D_fake -0.006005
[806/5000][305/535][83019] Loss_D: -0.023381 Loss_G: 0.002369 Loss_D_real: -0.030896 Loss_D_fake -0.007516
[806/5000][310/535][83020] Loss_D: -0.023668 Loss_G: 0.026431 Loss_D_real: -0.020657 Loss_D_fake 0.003011
[806/5000][315/535][83021] Loss_D: -0.024543 Loss_G: 0.020797 Loss_D_real: -0.021698 Loss_D_fake 0.002846
[806/5000][320/535][83022] Loss_D: -0.024655 Loss_G: 0.014636 Loss_D_real: -0.022575 Loss_D_fake 0.002080
[806/5000][325/535][83023] Loss_D: -0.024799 Loss_G: 0.010300 Loss_D_real: -0.026872 Loss_D_fake -0.002073
[806/5000][330/535][83024] Loss_D: -0.024217 Loss_G: 0.025552 Loss_D_real: -0.028662 Loss_D_fake -0.004444
[806/5000][335/535][83025] Loss_D: -0.023894 Loss_G: 0.021557 Loss_D_real: -0.023181 Loss_D_fake 0.000713
[806/5000][340/535][83026] Loss_D: -0.022716 Loss_G: 0.011805 Loss_D_real: -0.020479 Loss_D_fake 0.002237
[806/5000][345/535][83027] Loss_D: -0.024452 Loss_G: 0.015242 Loss_D_real: -0.023494 Loss_D_fake 0.000958
[806/5000][350/535][83028] Loss_D: -0.024234 Loss_G: 0.013723 Loss_D_real: -0.011260 Loss_D_fake 0.012974
[806/5000][355/535][83029] Loss_D: -0.023227 Loss_G: 0.019163 Loss_D_real: -0.030256 Loss_D_fake -0.007029
[806/5000][360/535][83030] Loss_D: -0.024330 Loss_G: 0.007069 Loss_D_real: -0.009538 Loss_D_fake 0.014792
[806/5000][365/535][83031] Loss_D: -0.022885 Loss_G: 0.009708 Loss_D_real: -0.027136 Loss_D_fake -0.004250
[806/5000][370/535][83032] Loss_D: -0.024633 Loss_G: 0.020441 Loss_D_real: -0.024485 Loss_D_fake 0.000148
[806/5000][375/535][83033] Loss_D: -0.023055 Loss_G: 0.012738 Loss_D_real: -0.029117 Loss_D_fake -0.006062
[806/5000][380/535][83034] Loss_D: -0.022811 Loss_G: 0.019621 Loss_D_real: -0.040353 Loss_D_fake -0.017542
[806/5000][385/535][83035] Loss_D: -0.023352 Loss_G: 0.009516 Loss_D_real: -0.022063 Loss_D_fake 0.001289
[806/5000][390/535][83036] Loss_D: -0.023847 Loss_G: 0.018042 Loss_D_real: -0.026747 Loss_D_fake -0.002900
[806/5000][395/535][83037] Loss_D: -0.023420 Loss_G: 0.004570 Loss_D_real: -0.012759 Loss_D_fake 0.010661
[806/5000][400/535][83038] Loss_D: -0.022672 Loss_G: 0.033048 Loss_D_real: -0.021721 Loss_D_fake 0.000951
[806/5000][405/535][83039] Loss_D: -0.022793 Loss_G: -0.006577 Loss_D_real: -0.008535 Loss_D_fake 0.014258
[806/5000][410/535][83040] Loss_D: -0.021800 Loss_G: 0.008786 Loss_D_real: -0.023185 Loss_D_fake -0.001385
[806/5000][415/535][83041] Loss_D: -0.024829 Loss_G: -0.001681 Loss_D_real: -0.019764 Loss_D_fake 0.005064
[806/5000][420/535][83042] Loss_D: -0.022093 Loss_G: 0.034905 Loss_D_real: -0.030316 Loss_D_fake -0.008223
[806/5000][425/535][83043] Loss_D: -0.022251 Loss_G: 0.008007 Loss_D_real: -0.011794 Loss_D_fake 0.010457
[806/5000][430/535][83044] Loss_D: -0.021897 Loss_G: -0.007938 Loss_D_real: -0.007392 Loss_D_fake 0.014506
[806/5000][435/535][83045] Loss_D: -0.023401 Loss_G: 0.015458 Loss_D_real: -0.019433 Loss_D_fake 0.003968
[806/5000][440/535][83046] Loss_D: -0.022378 Loss_G: 0.008711 Loss_D_real: -0.023485 Loss_D_fake -0.001107
[806/5000][445/535][83047] Loss_D: -0.023994 Loss_G: 0.020663 Loss_D_real: -0.032816 Loss_D_fake -0.008822
[806/5000][450/535][83048] Loss_D: -0.023018 Loss_G: 0.018440 Loss_D_real: -0.032642 Loss_D_fake -0.009624
[806/5000][455/535][83049] Loss_D: -0.023663 Loss_G: 0.005379 Loss_D_real: -0.022629 Loss_D_fake 0.001035
[806/5000][460/535][83050] Loss_D: -0.022312 Loss_G: 0.027175 Loss_D_real: -0.035374 Loss_D_fake -0.013062
[806/5000][465/535][83051] Loss_D: -0.022812 Loss_G: 0.010493 Loss_D_real: -0.023144 Loss_D_fake -0.000332
[806/5000][470/535][83052] Loss_D: -0.024552 Loss_G: 0.006435 Loss_D_real: -0.011079 Loss_D_fake 0.013473
[806/5000][475/535][83053] Loss_D: -0.023196 Loss_G: 0.008372 Loss_D_real: -0.023359 Loss_D_fake -0.000163
[806/5000][480/535][83054] Loss_D: -0.023917 Loss_G: 0.020868 Loss_D_real: -0.026799 Loss_D_fake -0.002882
[806/5000][485/535][83055] Loss_D: -0.024063 Loss_G: 0.010372 Loss_D_real: -0.019337 Loss_D_fake 0.004725
[806/5000][490/535][83056] Loss_D: -0.023096 Loss_G: 0.016083 Loss_D_real: -0.025298 Loss_D_fake -0.002202
[806/5000][495/535][83057] Loss_D: -0.024215 Loss_G: 0.003804 Loss_D_real: -0.015105 Loss_D_fake 0.009110
[806/5000][500/535][83058] Loss_D: -0.021858 Loss_G: 0.026497 Loss_D_real: -0.037345 Loss_D_fake -0.015487
[806/5000][505/535][83059] Loss_D: -0.022176 Loss_G: -0.002312 Loss_D_real: -0.015621 Loss_D_fake 0.006556
[806/5000][510/535][83060] Loss_D: -0.022739 Loss_G: 0.000728 Loss_D_real: -0.005967 Loss_D_fake 0.016772
[806/5000][515/535][83061] Loss_D: -0.022138 Loss_G: 0.016943 Loss_D_real: -0.036164 Loss_D_fake -0.014026
[806/5000][520/535][83062] Loss_D: -0.022019 Loss_G: -0.011758 Loss_D_real: 0.006570 Loss_D_fake 0.028589
[806/5000][525/535][83063] Loss_D: -0.023059 Loss_G: 0.001327 Loss_D_real: -0.015336 Loss_D_fake 0.007723
[806/5000][530/535][83064] Loss_D: -0.024331 Loss_G: 0.020054 Loss_D_real: -0.016717 Loss_D_fake 0.007614
[806/5000][535/535][83065] Loss_D: -0.021712 Loss_G: -0.013767 Loss_D_real: -0.027350 Loss_D_fake -0.005638
[807/5000][5/535][83066] Loss_D: -0.022641 Loss_G: 0.019510 Loss_D_real: -0.023324 Loss_D_fake -0.000683
[807/5000][10/535][83067] Loss_D: -0.024258 Loss_G: 0.014751 Loss_D_real: -0.016594 Loss_D_fake 0.007663
[807/5000][15/535][83068] Loss_D: -0.023975 Loss_G: -0.000315 Loss_D_real: -0.017580 Loss_D_fake 0.006395
[807/5000][20/535][83069] Loss_D: -0.021849 Loss_G: 0.010673 Loss_D_real: -0.009358 Loss_D_fake 0.012491
[807/5000][25/535][83070] Loss_D: -0.023814 Loss_G: 0.012558 Loss_D_real: -0.015221 Loss_D_fake 0.008593
[807/5000][30/535][83071] Loss_D: -0.022980 Loss_G: -0.000704 Loss_D_real: -0.011517 Loss_D_fake 0.011463
[807/5000][35/535][83072] Loss_D: -0.021925 Loss_G: 0.001319 Loss_D_real: -0.004060 Loss_D_fake 0.017865
[807/5000][40/535][83073] Loss_D: -0.024377 Loss_G: 0.015884 Loss_D_real: -0.023555 Loss_D_fake 0.000822
[807/5000][45/535][83074] Loss_D: -0.023219 Loss_G: -0.012513 Loss_D_real: -0.004730 Loss_D_fake 0.018489
[807/5000][50/535][83075] Loss_D: -0.023585 Loss_G: 0.009728 Loss_D_real: -0.013906 Loss_D_fake 0.009679
[807/5000][55/535][83076] Loss_D: -0.022254 Loss_G: 0.028551 Loss_D_real: -0.028033 Loss_D_fake -0.005780
[807/5000][60/535][83077] Loss_D: -0.022573 Loss_G: 0.013627 Loss_D_real: -0.027292 Loss_D_fake -0.004719
[807/5000][65/535][83078] Loss_D: -0.022892 Loss_G: 0.012096 Loss_D_real: -0.022563 Loss_D_fake 0.000329
[807/5000][70/535][83079] Loss_D: -0.023344 Loss_G: 0.014817 Loss_D_real: -0.013702 Loss_D_fake 0.009642
[807/5000][75/535][83080] Loss_D: -0.023171 Loss_G: 0.027028 Loss_D_real: -0.037514 Loss_D_fake -0.014343
[807/5000][80/535][83081] Loss_D: -0.022096 Loss_G: -0.017293 Loss_D_real: -0.006617 Loss_D_fake 0.015479
[807/5000][85/535][83082] Loss_D: -0.023468 Loss_G: -0.004666 Loss_D_real: -0.014031 Loss_D_fake 0.009437
[807/5000][90/535][83083] Loss_D: -0.024295 Loss_G: 0.011791 Loss_D_real: -0.027205 Loss_D_fake -0.002910
[807/5000][95/535][83084] Loss_D: -0.023957 Loss_G: 0.001661 Loss_D_real: -0.017668 Loss_D_fake 0.006288
[807/5000][100/535][83085] Loss_D: -0.023816 Loss_G: 0.010463 Loss_D_real: -0.024292 Loss_D_fake -0.000476
[807/5000][105/535][83086] Loss_D: -0.022440 Loss_G: 0.010157 Loss_D_real: -0.023486 Loss_D_fake -0.001046
[807/5000][110/535][83087] Loss_D: -0.023102 Loss_G: 0.002207 Loss_D_real: -0.008207 Loss_D_fake 0.014895
[807/5000][115/535][83088] Loss_D: -0.024083 Loss_G: 0.005053 Loss_D_real: -0.004315 Loss_D_fake 0.019768
[807/5000][120/535][83089] Loss_D: -0.023681 Loss_G: 0.012900 Loss_D_real: -0.017065 Loss_D_fake 0.006616
[807/5000][125/535][83090] Loss_D: -0.024386 Loss_G: -0.003941 Loss_D_real: -0.004467 Loss_D_fake 0.019920
[807/5000][130/535][83091] Loss_D: -0.024151 Loss_G: 0.016395 Loss_D_real: -0.027952 Loss_D_fake -0.003801
[807/5000][135/535][83092] Loss_D: -0.023781 Loss_G: 0.022666 Loss_D_real: -0.029117 Loss_D_fake -0.005337
[807/5000][140/535][83093] Loss_D: -0.022039 Loss_G: -0.028439 Loss_D_real: 0.005187 Loss_D_fake 0.027225
[807/5000][145/535][83094] Loss_D: -0.022956 Loss_G: 0.012256 Loss_D_real: -0.015079 Loss_D_fake 0.007877
[807/5000][150/535][83095] Loss_D: -0.022568 Loss_G: 0.014382 Loss_D_real: -0.016899 Loss_D_fake 0.005669
[807/5000][155/535][83096] Loss_D: -0.024230 Loss_G: 0.012357 Loss_D_real: -0.013627 Loss_D_fake 0.010603
[807/5000][160/535][83097] Loss_D: -0.022338 Loss_G: 0.021098 Loss_D_real: -0.024936 Loss_D_fake -0.002598
[807/5000][165/535][83098] Loss_D: -0.023561 Loss_G: -0.007651 Loss_D_real: -0.008738 Loss_D_fake 0.014823
[807/5000][170/535][83099] Loss_D: -0.022590 Loss_G: 0.016066 Loss_D_real: -0.023929 Loss_D_fake -0.001339
[807/5000][175/535][83100] Loss_D: -0.023925 Loss_G: 0.004475 Loss_D_real: -0.009230 Loss_D_fake 0.014696
[807/5000][180/535][83101] Loss_D: -0.026318 Loss_G: 0.014744 Loss_D_real: -0.015429 Loss_D_fake 0.010889
[807/5000][185/535][83102] Loss_D: -0.024053 Loss_G: 0.012057 Loss_D_real: -0.022522 Loss_D_fake 0.001531
[807/5000][190/535][83103] Loss_D: -0.023748 Loss_G: 0.006940 Loss_D_real: -0.027169 Loss_D_fake -0.003421
[807/5000][195/535][83104] Loss_D: -0.023564 Loss_G: 0.017705 Loss_D_real: -0.027575 Loss_D_fake -0.004011
[807/5000][200/535][83105] Loss_D: -0.023987 Loss_G: -0.010328 Loss_D_real: -0.012238 Loss_D_fake 0.011750
[807/5000][205/535][83106] Loss_D: -0.023799 Loss_G: -0.002498 Loss_D_real: -0.023798 Loss_D_fake 0.000001
[807/5000][210/535][83107] Loss_D: -0.022543 Loss_G: -0.002988 Loss_D_real: -0.012272 Loss_D_fake 0.010272
[807/5000][215/535][83108] Loss_D: -0.024450 Loss_G: 0.017865 Loss_D_real: -0.031782 Loss_D_fake -0.007332
[807/5000][220/535][83109] Loss_D: -0.023915 Loss_G: -0.004702 Loss_D_real: -0.013474 Loss_D_fake 0.010441
[807/5000][225/535][83110] Loss_D: -0.024154 Loss_G: 0.010384 Loss_D_real: -0.015379 Loss_D_fake 0.008775
[807/5000][230/535][83111] Loss_D: -0.024440 Loss_G: 0.010346 Loss_D_real: -0.015560 Loss_D_fake 0.008880
[807/5000][235/535][83112] Loss_D: -0.023743 Loss_G: 0.000880 Loss_D_real: -0.007449 Loss_D_fake 0.016294
[807/5000][240/535][83113] Loss_D: -0.025124 Loss_G: -0.005151 Loss_D_real: -0.002180 Loss_D_fake 0.022944
[807/5000][245/535][83114] Loss_D: -0.023818 Loss_G: 0.013562 Loss_D_real: -0.017501 Loss_D_fake 0.006317
[807/5000][250/535][83115] Loss_D: -0.022397 Loss_G: 0.021007 Loss_D_real: -0.024410 Loss_D_fake -0.002013
[807/5000][255/535][83116] Loss_D: -0.023070 Loss_G: 0.008692 Loss_D_real: -0.022934 Loss_D_fake 0.000136
[807/5000][260/535][83117] Loss_D: -0.023308 Loss_G: 0.021171 Loss_D_real: -0.031415 Loss_D_fake -0.008107
[807/5000][265/535][83118] Loss_D: -0.024129 Loss_G: 0.004851 Loss_D_real: -0.003073 Loss_D_fake 0.021055
[807/5000][270/535][83119] Loss_D: -0.024803 Loss_G: 0.002379 Loss_D_real: -0.009551 Loss_D_fake 0.015252
[807/5000][275/535][83120] Loss_D: -0.024164 Loss_G: 0.016003 Loss_D_real: -0.020245 Loss_D_fake 0.003919
[807/5000][280/535][83121] Loss_D: -0.025663 Loss_G: 0.008752 Loss_D_real: -0.024831 Loss_D_fake 0.000831
[807/5000][285/535][83122] Loss_D: -0.023763 Loss_G: -0.008260 Loss_D_real: -0.012040 Loss_D_fake 0.011723
[807/5000][290/535][83123] Loss_D: -0.022702 Loss_G: 0.019864 Loss_D_real: -0.024485 Loss_D_fake -0.001783
[807/5000][295/535][83124] Loss_D: -0.023637 Loss_G: 0.007425 Loss_D_real: -0.021608 Loss_D_fake 0.002029
[807/5000][300/535][83125] Loss_D: -0.023385 Loss_G: 0.004582 Loss_D_real: -0.019213 Loss_D_fake 0.004172
[807/5000][305/535][83126] Loss_D: -0.024697 Loss_G: 0.006568 Loss_D_real: -0.018547 Loss_D_fake 0.006150
[807/5000][310/535][83127] Loss_D: -0.023462 Loss_G: 0.004728 Loss_D_real: -0.023246 Loss_D_fake 0.000216
[807/5000][315/535][83128] Loss_D: -0.023415 Loss_G: 0.003875 Loss_D_real: -0.011052 Loss_D_fake 0.012363
[807/5000][320/535][83129] Loss_D: -0.024535 Loss_G: 0.017316 Loss_D_real: -0.017740 Loss_D_fake 0.006795
[807/5000][325/535][83130] Loss_D: -0.022687 Loss_G: 0.025671 Loss_D_real: -0.020774 Loss_D_fake 0.001912
[807/5000][330/535][83131] Loss_D: -0.023767 Loss_G: 0.001451 Loss_D_real: -0.011374 Loss_D_fake 0.012394
[807/5000][335/535][83132] Loss_D: -0.023516 Loss_G: 0.007008 Loss_D_real: -0.018806 Loss_D_fake 0.004710
[807/5000][340/535][83133] Loss_D: -0.023137 Loss_G: 0.029135 Loss_D_real: -0.030877 Loss_D_fake -0.007740
[807/5000][345/535][83134] Loss_D: -0.022613 Loss_G: -0.002112 Loss_D_real: -0.021213 Loss_D_fake 0.001400
[807/5000][350/535][83135] Loss_D: -0.021072 Loss_G: 0.015223 Loss_D_real: -0.029936 Loss_D_fake -0.008864
[807/5000][355/535][83136] Loss_D: -0.024864 Loss_G: 0.020235 Loss_D_real: -0.023788 Loss_D_fake 0.001076
[807/5000][360/535][83137] Loss_D: -0.024558 Loss_G: 0.005730 Loss_D_real: -0.014694 Loss_D_fake 0.009864
[807/5000][365/535][83138] Loss_D: -0.024475 Loss_G: 0.013151 Loss_D_real: -0.020819 Loss_D_fake 0.003656
[807/5000][370/535][83139] Loss_D: -0.021639 Loss_G: 0.027009 Loss_D_real: -0.032885 Loss_D_fake -0.011246
[807/5000][375/535][83140] Loss_D: -0.022824 Loss_G: -0.011557 Loss_D_real: -0.012430 Loss_D_fake 0.010394
[807/5000][380/535][83141] Loss_D: -0.023409 Loss_G: 0.005333 Loss_D_real: -0.024381 Loss_D_fake -0.000972
[807/5000][385/535][83142] Loss_D: -0.023524 Loss_G: 0.007203 Loss_D_real: -0.026444 Loss_D_fake -0.002921
[807/5000][390/535][83143] Loss_D: -0.023222 Loss_G: -0.000441 Loss_D_real: -0.016016 Loss_D_fake 0.007205
[807/5000][395/535][83144] Loss_D: -0.024689 Loss_G: 0.001679 Loss_D_real: -0.008513 Loss_D_fake 0.016175
[807/5000][400/535][83145] Loss_D: -0.023659 Loss_G: 0.006086 Loss_D_real: -0.009725 Loss_D_fake 0.013934
[807/5000][405/535][83146] Loss_D: -0.023879 Loss_G: 0.001205 Loss_D_real: -0.015441 Loss_D_fake 0.008439
[807/5000][410/535][83147] Loss_D: -0.023052 Loss_G: -0.002946 Loss_D_real: -0.007324 Loss_D_fake 0.015729
[807/5000][415/535][83148] Loss_D: -0.025464 Loss_G: 0.021935 Loss_D_real: -0.021897 Loss_D_fake 0.003568
[807/5000][420/535][83149] Loss_D: -0.024529 Loss_G: 0.026628 Loss_D_real: -0.024526 Loss_D_fake 0.000003
[807/5000][425/535][83150] Loss_D: -0.024232 Loss_G: 0.009775 Loss_D_real: -0.016558 Loss_D_fake 0.007674
[807/5000][430/535][83151] Loss_D: -0.025471 Loss_G: 0.004467 Loss_D_real: -0.020451 Loss_D_fake 0.005019
[807/5000][435/535][83152] Loss_D: -0.022921 Loss_G: -0.014126 Loss_D_real: -0.004687 Loss_D_fake 0.018234
[807/5000][440/535][83153] Loss_D: -0.023669 Loss_G: 0.008695 Loss_D_real: -0.019135 Loss_D_fake 0.004534
[807/5000][445/535][83154] Loss_D: -0.023586 Loss_G: 0.005260 Loss_D_real: -0.019856 Loss_D_fake 0.003730
[807/5000][450/535][83155] Loss_D: -0.022265 Loss_G: 0.019468 Loss_D_real: -0.033580 Loss_D_fake -0.011315
[807/5000][455/535][83156] Loss_D: -0.023682 Loss_G: 0.008004 Loss_D_real: -0.014928 Loss_D_fake 0.008754
[807/5000][460/535][83157] Loss_D: -0.023415 Loss_G: -0.014387 Loss_D_real: -0.019401 Loss_D_fake 0.004014
[807/5000][465/535][83158] Loss_D: -0.023868 Loss_G: 0.002306 Loss_D_real: -0.004189 Loss_D_fake 0.019679
[807/5000][470/535][83159] Loss_D: -0.023683 Loss_G: 0.022529 Loss_D_real: -0.032894 Loss_D_fake -0.009211
[807/5000][475/535][83160] Loss_D: -0.023460 Loss_G: 0.014284 Loss_D_real: -0.032377 Loss_D_fake -0.008917
[807/5000][480/535][83161] Loss_D: -0.025329 Loss_G: 0.011105 Loss_D_real: -0.018252 Loss_D_fake 0.007077
[807/5000][485/535][83162] Loss_D: -0.024412 Loss_G: 0.004551 Loss_D_real: -0.002369 Loss_D_fake 0.022043
[807/5000][490/535][83163] Loss_D: -0.023523 Loss_G: 0.016208 Loss_D_real: -0.032969 Loss_D_fake -0.009446
[807/5000][495/535][83164] Loss_D: -0.022832 Loss_G: 0.012508 Loss_D_real: -0.017908 Loss_D_fake 0.004924
[807/5000][500/535][83165] Loss_D: -0.023296 Loss_G: -0.004455 Loss_D_real: -0.015423 Loss_D_fake 0.007874
[807/5000][505/535][83166] Loss_D: -0.023083 Loss_G: 0.019937 Loss_D_real: -0.027597 Loss_D_fake -0.004514
[807/5000][510/535][83167] Loss_D: -0.023573 Loss_G: 0.008871 Loss_D_real: -0.024147 Loss_D_fake -0.000574
[807/5000][515/535][83168] Loss_D: -0.024195 Loss_G: 0.007130 Loss_D_real: -0.019464 Loss_D_fake 0.004731
[807/5000][520/535][83169] Loss_D: -0.023223 Loss_G: -0.003396 Loss_D_real: -0.012352 Loss_D_fake 0.010872
[807/5000][525/535][83170] Loss_D: -0.021756 Loss_G: 0.015811 Loss_D_real: -0.026649 Loss_D_fake -0.004892
[807/5000][530/535][83171] Loss_D: -0.024833 Loss_G: -0.009577 Loss_D_real: -0.010210 Loss_D_fake 0.014624
[807/5000][535/535][83172] Loss_D: -0.023674 Loss_G: -0.000909 Loss_D_real: -0.027050 Loss_D_fake -0.003376
[808/5000][5/535][83173] Loss_D: -0.024952 Loss_G: 0.003261 Loss_D_real: -0.001935 Loss_D_fake 0.023018
[808/5000][10/535][83174] Loss_D: -0.023442 Loss_G: 0.004269 Loss_D_real: -0.023826 Loss_D_fake -0.000383
[808/5000][15/535][83175] Loss_D: -0.023821 Loss_G: -0.011973 Loss_D_real: -0.014797 Loss_D_fake 0.009024
[808/5000][20/535][83176] Loss_D: -0.024177 Loss_G: 0.011692 Loss_D_real: -0.012040 Loss_D_fake 0.012137
[808/5000][25/535][83177] Loss_D: -0.024183 Loss_G: 0.009454 Loss_D_real: -0.008480 Loss_D_fake 0.015703
[808/5000][30/535][83178] Loss_D: -0.022827 Loss_G: -0.015025 Loss_D_real: -0.001730 Loss_D_fake 0.021097
[808/5000][35/535][83179] Loss_D: -0.023850 Loss_G: 0.030731 Loss_D_real: -0.020010 Loss_D_fake 0.003840
[808/5000][40/535][83180] Loss_D: -0.022531 Loss_G: 0.021557 Loss_D_real: -0.027648 Loss_D_fake -0.005117
[808/5000][45/535][83181] Loss_D: -0.022616 Loss_G: 0.003951 Loss_D_real: -0.023485 Loss_D_fake -0.000869
[808/5000][50/535][83182] Loss_D: -0.024051 Loss_G: 0.000696 Loss_D_real: -0.016478 Loss_D_fake 0.007573
[808/5000][55/535][83183] Loss_D: -0.021981 Loss_G: 0.008943 Loss_D_real: -0.013835 Loss_D_fake 0.008146
[808/5000][60/535][83184] Loss_D: -0.023524 Loss_G: 0.003925 Loss_D_real: -0.018734 Loss_D_fake 0.004791
[808/5000][65/535][83185] Loss_D: -0.023704 Loss_G: 0.013857 Loss_D_real: -0.016960 Loss_D_fake 0.006744
[808/5000][70/535][83186] Loss_D: -0.024315 Loss_G: 0.017196 Loss_D_real: -0.030788 Loss_D_fake -0.006474
[808/5000][75/535][83187] Loss_D: -0.022384 Loss_G: 0.028486 Loss_D_real: -0.039710 Loss_D_fake -0.017326
[808/5000][80/535][83188] Loss_D: -0.023674 Loss_G: 0.015079 Loss_D_real: -0.024867 Loss_D_fake -0.001193
[808/5000][85/535][83189] Loss_D: -0.024116 Loss_G: 0.011026 Loss_D_real: -0.014053 Loss_D_fake 0.010063
[808/5000][90/535][83190] Loss_D: -0.024878 Loss_G: -0.001013 Loss_D_real: -0.002931 Loss_D_fake 0.021947
[808/5000][95/535][83191] Loss_D: -0.024259 Loss_G: 0.016581 Loss_D_real: -0.022634 Loss_D_fake 0.001625
[808/5000][100/535][83192] Loss_D: -0.023722 Loss_G: -0.009384 Loss_D_real: 0.006418 Loss_D_fake 0.030140
[808/5000][105/535][83193] Loss_D: -0.023268 Loss_G: 0.025663 Loss_D_real: -0.033392 Loss_D_fake -0.010124
[808/5000][110/535][83194] Loss_D: -0.025174 Loss_G: 0.004541 Loss_D_real: -0.020224 Loss_D_fake 0.004949
[808/5000][115/535][83195] Loss_D: -0.023560 Loss_G: 0.014808 Loss_D_real: -0.021905 Loss_D_fake 0.001656
[808/5000][120/535][83196] Loss_D: -0.022998 Loss_G: 0.003361 Loss_D_real: -0.005929 Loss_D_fake 0.017068
[808/5000][125/535][83197] Loss_D: -0.022901 Loss_G: 0.018979 Loss_D_real: -0.020057 Loss_D_fake 0.002844
[808/5000][130/535][83198] Loss_D: -0.023025 Loss_G: 0.004383 Loss_D_real: -0.017443 Loss_D_fake 0.005582
[808/5000][135/535][83199] Loss_D: -0.023451 Loss_G: -0.002936 Loss_D_real: -0.017706 Loss_D_fake 0.005745
[808/5000][140/535][83200] Loss_D: -0.022556 Loss_G: 0.018224 Loss_D_real: -0.025685 Loss_D_fake -0.003129
[808/5000][145/535][83201] Loss_D: -0.021911 Loss_G: 0.011950 Loss_D_real: -0.020598 Loss_D_fake 0.001313
[808/5000][150/535][83202] Loss_D: -0.024089 Loss_G: 0.019422 Loss_D_real: -0.026232 Loss_D_fake -0.002143
[808/5000][155/535][83203] Loss_D: -0.022717 Loss_G: 0.019761 Loss_D_real: -0.017183 Loss_D_fake 0.005534
[808/5000][160/535][83204] Loss_D: -0.022018 Loss_G: -0.002741 Loss_D_real: -0.004652 Loss_D_fake 0.017366
[808/5000][165/535][83205] Loss_D: -0.022884 Loss_G: 0.012050 Loss_D_real: -0.012605 Loss_D_fake 0.010279
[808/5000][170/535][83206] Loss_D: -0.023728 Loss_G: 0.010251 Loss_D_real: -0.021419 Loss_D_fake 0.002309
[808/5000][175/535][83207] Loss_D: -0.021938 Loss_G: 0.014911 Loss_D_real: -0.028251 Loss_D_fake -0.006314
[808/5000][180/535][83208] Loss_D: -0.022921 Loss_G: 0.003668 Loss_D_real: -0.019712 Loss_D_fake 0.003210
[808/5000][185/535][83209] Loss_D: -0.024077 Loss_G: 0.009369 Loss_D_real: -0.015979 Loss_D_fake 0.008098
[808/5000][190/535][83210] Loss_D: -0.022795 Loss_G: 0.012939 Loss_D_real: -0.017645 Loss_D_fake 0.005150
[808/5000][195/535][83211] Loss_D: -0.023774 Loss_G: 0.012029 Loss_D_real: -0.021298 Loss_D_fake 0.002476
[808/5000][200/535][83212] Loss_D: -0.024621 Loss_G: 0.007006 Loss_D_real: -0.017139 Loss_D_fake 0.007482
[808/5000][205/535][83213] Loss_D: -0.022128 Loss_G: -0.000924 Loss_D_real: -0.016491 Loss_D_fake 0.005636
[808/5000][210/535][83214] Loss_D: -0.023236 Loss_G: 0.002674 Loss_D_real: -0.009559 Loss_D_fake 0.013676
[808/5000][215/535][83215] Loss_D: -0.022416 Loss_G: 0.005289 Loss_D_real: -0.015432 Loss_D_fake 0.006984
[808/5000][220/535][83216] Loss_D: -0.021728 Loss_G: 0.023855 Loss_D_real: -0.032426 Loss_D_fake -0.010697
[808/5000][225/535][83217] Loss_D: -0.023507 Loss_G: 0.012889 Loss_D_real: -0.021743 Loss_D_fake 0.001764
[808/5000][230/535][83218] Loss_D: -0.023243 Loss_G: 0.012948 Loss_D_real: -0.029537 Loss_D_fake -0.006294
[808/5000][235/535][83219] Loss_D: -0.024086 Loss_G: 0.020629 Loss_D_real: -0.024666 Loss_D_fake -0.000580
[808/5000][240/535][83220] Loss_D: -0.023671 Loss_G: 0.007061 Loss_D_real: -0.012852 Loss_D_fake 0.010819
[808/5000][245/535][83221] Loss_D: -0.021200 Loss_G: 0.018263 Loss_D_real: -0.030388 Loss_D_fake -0.009189
[808/5000][250/535][83222] Loss_D: -0.022377 Loss_G: -0.009356 Loss_D_real: 0.004474 Loss_D_fake 0.026851
[808/5000][255/535][83223] Loss_D: -0.022782 Loss_G: 0.013298 Loss_D_real: -0.016573 Loss_D_fake 0.006209
[808/5000][260/535][83224] Loss_D: -0.022285 Loss_G: 0.019836 Loss_D_real: -0.029171 Loss_D_fake -0.006886
[808/5000][265/535][83225] Loss_D: -0.023185 Loss_G: -0.006902 Loss_D_real: -0.010634 Loss_D_fake 0.012551
[808/5000][270/535][83226] Loss_D: -0.024459 Loss_G: 0.005257 Loss_D_real: -0.023434 Loss_D_fake 0.001025
[808/5000][275/535][83227] Loss_D: -0.022745 Loss_G: 0.016134 Loss_D_real: -0.032222 Loss_D_fake -0.009477
[808/5000][280/535][83228] Loss_D: -0.023535 Loss_G: 0.012230 Loss_D_real: -0.020478 Loss_D_fake 0.003057
[808/5000][285/535][83229] Loss_D: -0.025053 Loss_G: -0.011429 Loss_D_real: -0.004217 Loss_D_fake 0.020836
[808/5000][290/535][83230] Loss_D: -0.023330 Loss_G: 0.013461 Loss_D_real: -0.025659 Loss_D_fake -0.002329
[808/5000][295/535][83231] Loss_D: -0.024282 Loss_G: 0.013334 Loss_D_real: -0.016152 Loss_D_fake 0.008130
[808/5000][300/535][83232] Loss_D: -0.024596 Loss_G: -0.003750 Loss_D_real: -0.002834 Loss_D_fake 0.021761
[808/5000][305/535][83233] Loss_D: -0.023219 Loss_G: 0.023643 Loss_D_real: -0.025216 Loss_D_fake -0.001997
[808/5000][310/535][83234] Loss_D: -0.022698 Loss_G: 0.017017 Loss_D_real: -0.015365 Loss_D_fake 0.007332
[808/5000][315/535][83235] Loss_D: -0.023093 Loss_G: 0.007711 Loss_D_real: -0.017186 Loss_D_fake 0.005907
[808/5000][320/535][83236] Loss_D: -0.024342 Loss_G: 0.015722 Loss_D_real: -0.021754 Loss_D_fake 0.002588
[808/5000][325/535][83237] Loss_D: -0.024985 Loss_G: 0.017205 Loss_D_real: -0.025945 Loss_D_fake -0.000960
[808/5000][330/535][83238] Loss_D: -0.022459 Loss_G: 0.029556 Loss_D_real: -0.037314 Loss_D_fake -0.014856
[808/5000][335/535][83239] Loss_D: -0.022361 Loss_G: -0.002641 Loss_D_real: 0.000703 Loss_D_fake 0.023064
[808/5000][340/535][83240] Loss_D: -0.023325 Loss_G: 0.004799 Loss_D_real: -0.016134 Loss_D_fake 0.007191
[808/5000][345/535][83241] Loss_D: -0.023947 Loss_G: 0.009241 Loss_D_real: -0.019209 Loss_D_fake 0.004738
[808/5000][350/535][83242] Loss_D: -0.023935 Loss_G: 0.015526 Loss_D_real: -0.018020 Loss_D_fake 0.005914
[808/5000][355/535][83243] Loss_D: -0.022973 Loss_G: 0.007301 Loss_D_real: -0.011714 Loss_D_fake 0.011259
[808/5000][360/535][83244] Loss_D: -0.023032 Loss_G: 0.020568 Loss_D_real: -0.026455 Loss_D_fake -0.003424
[808/5000][365/535][83245] Loss_D: -0.024422 Loss_G: 0.011997 Loss_D_real: -0.030102 Loss_D_fake -0.005680
[808/5000][370/535][83246] Loss_D: -0.024013 Loss_G: 0.006573 Loss_D_real: -0.011286 Loss_D_fake 0.012728
[808/5000][375/535][83247] Loss_D: -0.023488 Loss_G: 0.011181 Loss_D_real: -0.016857 Loss_D_fake 0.006631
[808/5000][380/535][83248] Loss_D: -0.023573 Loss_G: -0.009451 Loss_D_real: -0.000976 Loss_D_fake 0.022597
[808/5000][385/535][83249] Loss_D: -0.023456 Loss_G: 0.017492 Loss_D_real: -0.024214 Loss_D_fake -0.000758
[808/5000][390/535][83250] Loss_D: -0.024474 Loss_G: 0.016639 Loss_D_real: -0.030189 Loss_D_fake -0.005715
[808/5000][395/535][83251] Loss_D: -0.024575 Loss_G: 0.015818 Loss_D_real: -0.020663 Loss_D_fake 0.003912
[808/5000][400/535][83252] Loss_D: -0.023508 Loss_G: 0.012322 Loss_D_real: -0.020599 Loss_D_fake 0.002910
[808/5000][405/535][83253] Loss_D: -0.022993 Loss_G: 0.021443 Loss_D_real: -0.034416 Loss_D_fake -0.011423
[808/5000][410/535][83254] Loss_D: -0.022749 Loss_G: 0.015864 Loss_D_real: -0.025511 Loss_D_fake -0.002762
[808/5000][415/535][83255] Loss_D: -0.024594 Loss_G: 0.009617 Loss_D_real: -0.015906 Loss_D_fake 0.008688
[808/5000][420/535][83256] Loss_D: -0.024583 Loss_G: 0.002956 Loss_D_real: -0.010805 Loss_D_fake 0.013778
[808/5000][425/535][83257] Loss_D: -0.023008 Loss_G: 0.006147 Loss_D_real: -0.024586 Loss_D_fake -0.001578
[808/5000][430/535][83258] Loss_D: -0.023785 Loss_G: -0.001995 Loss_D_real: -0.018250 Loss_D_fake 0.005535
[808/5000][435/535][83259] Loss_D: -0.022560 Loss_G: 0.019372 Loss_D_real: -0.034159 Loss_D_fake -0.011599
[808/5000][440/535][83260] Loss_D: -0.023473 Loss_G: 0.011183 Loss_D_real: -0.008041 Loss_D_fake 0.015431
[808/5000][445/535][83261] Loss_D: -0.023006 Loss_G: 0.002314 Loss_D_real: -0.021012 Loss_D_fake 0.001994
[808/5000][450/535][83262] Loss_D: -0.023379 Loss_G: 0.009648 Loss_D_real: -0.011207 Loss_D_fake 0.012172
[808/5000][455/535][83263] Loss_D: -0.023003 Loss_G: 0.015249 Loss_D_real: -0.019720 Loss_D_fake 0.003283
[808/5000][460/535][83264] Loss_D: -0.022013 Loss_G: -0.009995 Loss_D_real: -0.009839 Loss_D_fake 0.012173
[808/5000][465/535][83265] Loss_D: -0.023355 Loss_G: 0.024329 Loss_D_real: -0.027151 Loss_D_fake -0.003796
[808/5000][470/535][83266] Loss_D: -0.022804 Loss_G: 0.012000 Loss_D_real: -0.029616 Loss_D_fake -0.006812
[808/5000][475/535][83267] Loss_D: -0.023820 Loss_G: 0.000789 Loss_D_real: -0.018097 Loss_D_fake 0.005722
[808/5000][480/535][83268] Loss_D: -0.024445 Loss_G: 0.006531 Loss_D_real: -0.004708 Loss_D_fake 0.019738
[808/5000][485/535][83269] Loss_D: -0.022089 Loss_G: -0.008804 Loss_D_real: -0.004562 Loss_D_fake 0.017526
[808/5000][490/535][83270] Loss_D: -0.022600 Loss_G: 0.010942 Loss_D_real: -0.026891 Loss_D_fake -0.004290
[808/5000][495/535][83271] Loss_D: -0.023164 Loss_G: 0.005175 Loss_D_real: -0.007913 Loss_D_fake 0.015251
[808/5000][500/535][83272] Loss_D: -0.022469 Loss_G: 0.015338 Loss_D_real: -0.021893 Loss_D_fake 0.000576
[808/5000][505/535][83273] Loss_D: -0.022515 Loss_G: 0.005668 Loss_D_real: -0.009306 Loss_D_fake 0.013209
[808/5000][510/535][83274] Loss_D: -0.023392 Loss_G: -0.005624 Loss_D_real: -0.002741 Loss_D_fake 0.020652
[808/5000][515/535][83275] Loss_D: -0.023309 Loss_G: -0.001347 Loss_D_real: -0.013537 Loss_D_fake 0.009772
[808/5000][520/535][83276] Loss_D: -0.023356 Loss_G: -0.003040 Loss_D_real: -0.024496 Loss_D_fake -0.001141
[808/5000][525/535][83277] Loss_D: -0.023532 Loss_G: 0.017594 Loss_D_real: -0.025637 Loss_D_fake -0.002105
[808/5000][530/535][83278] Loss_D: -0.022770 Loss_G: -0.009573 Loss_D_real: -0.010739 Loss_D_fake 0.012032
[808/5000][535/535][83279] Loss_D: -0.022250 Loss_G: 0.032791 Loss_D_real: -0.031171 Loss_D_fake -0.008921
[809/5000][5/535][83280] Loss_D: -0.023195 Loss_G: 0.008482 Loss_D_real: -0.023082 Loss_D_fake 0.000113
[809/5000][10/535][83281] Loss_D: -0.023869 Loss_G: 0.002054 Loss_D_real: -0.012579 Loss_D_fake 0.011291
[809/5000][15/535][83282] Loss_D: -0.022912 Loss_G: -0.009497 Loss_D_real: -0.000285 Loss_D_fake 0.022627
[809/5000][20/535][83283] Loss_D: -0.023420 Loss_G: 0.024186 Loss_D_real: -0.026241 Loss_D_fake -0.002821
[809/5000][25/535][83284] Loss_D: -0.022220 Loss_G: -0.000769 Loss_D_real: -0.015679 Loss_D_fake 0.006542
[809/5000][30/535][83285] Loss_D: -0.022488 Loss_G: 0.017970 Loss_D_real: -0.025701 Loss_D_fake -0.003214
[809/5000][35/535][83286] Loss_D: -0.022727 Loss_G: -0.018501 Loss_D_real: -0.005190 Loss_D_fake 0.017537
[809/5000][40/535][83287] Loss_D: -0.021376 Loss_G: 0.024734 Loss_D_real: -0.028010 Loss_D_fake -0.006634
[809/5000][45/535][83288] Loss_D: -0.023555 Loss_G: 0.017648 Loss_D_real: -0.027155 Loss_D_fake -0.003600
[809/5000][50/535][83289] Loss_D: -0.023935 Loss_G: -0.003468 Loss_D_real: -0.009408 Loss_D_fake 0.014528
[809/5000][55/535][83290] Loss_D: -0.022365 Loss_G: 0.005444 Loss_D_real: -0.013818 Loss_D_fake 0.008547
[809/5000][60/535][83291] Loss_D: -0.021680 Loss_G: 0.032556 Loss_D_real: -0.037086 Loss_D_fake -0.015406
[809/5000][65/535][83292] Loss_D: -0.022230 Loss_G: -0.018306 Loss_D_real: -0.004916 Loss_D_fake 0.017314
[809/5000][70/535][83293] Loss_D: -0.023124 Loss_G: 0.013543 Loss_D_real: -0.024191 Loss_D_fake -0.001067
[809/5000][75/535][83294] Loss_D: -0.022328 Loss_G: 0.012091 Loss_D_real: -0.029444 Loss_D_fake -0.007116
[809/5000][80/535][83295] Loss_D: -0.023551 Loss_G: 0.014080 Loss_D_real: -0.024617 Loss_D_fake -0.001066
[809/5000][85/535][83296] Loss_D: -0.024247 Loss_G: 0.007848 Loss_D_real: -0.025535 Loss_D_fake -0.001288
[809/5000][90/535][83297] Loss_D: -0.024815 Loss_G: -0.002717 Loss_D_real: -0.021141 Loss_D_fake 0.003674
[809/5000][95/535][83298] Loss_D: -0.024127 Loss_G: 0.018849 Loss_D_real: -0.022318 Loss_D_fake 0.001809
[809/5000][100/535][83299] Loss_D: -0.024664 Loss_G: 0.010962 Loss_D_real: -0.003870 Loss_D_fake 0.020793
[809/5000][105/535][83300] Loss_D: -0.023664 Loss_G: 0.030191 Loss_D_real: -0.024864 Loss_D_fake -0.001200
[809/5000][110/535][83301] Loss_D: -0.023086 Loss_G: 0.027513 Loss_D_real: -0.023379 Loss_D_fake -0.000293
[809/5000][115/535][83302] Loss_D: -0.022894 Loss_G: -0.011470 Loss_D_real: -0.009889 Loss_D_fake 0.013005
[809/5000][120/535][83303] Loss_D: -0.022944 Loss_G: -0.007210 Loss_D_real: -0.014502 Loss_D_fake 0.008442
[809/5000][125/535][83304] Loss_D: -0.022825 Loss_G: 0.027085 Loss_D_real: -0.031112 Loss_D_fake -0.008286
[809/5000][130/535][83305] Loss_D: -0.022395 Loss_G: 0.003675 Loss_D_real: -0.023803 Loss_D_fake -0.001408
[809/5000][135/535][83306] Loss_D: -0.024714 Loss_G: -0.003633 Loss_D_real: -0.010720 Loss_D_fake 0.013995
[809/5000][140/535][83307] Loss_D: -0.022896 Loss_G: -0.003442 Loss_D_real: -0.006950 Loss_D_fake 0.015946
[809/5000][145/535][83308] Loss_D: -0.024363 Loss_G: 0.012932 Loss_D_real: -0.018375 Loss_D_fake 0.005988
[809/5000][150/535][83309] Loss_D: -0.024638 Loss_G: -0.000392 Loss_D_real: -0.010207 Loss_D_fake 0.014431
[809/5000][155/535][83310] Loss_D: -0.024881 Loss_G: 0.013647 Loss_D_real: -0.017881 Loss_D_fake 0.007001
[809/5000][160/535][83311] Loss_D: -0.024253 Loss_G: -0.002686 Loss_D_real: -0.013436 Loss_D_fake 0.010817
[809/5000][165/535][83312] Loss_D: -0.023861 Loss_G: -0.004631 Loss_D_real: -0.012278 Loss_D_fake 0.011583
[809/5000][170/535][83313] Loss_D: -0.024058 Loss_G: 0.011858 Loss_D_real: -0.018137 Loss_D_fake 0.005921
[809/5000][175/535][83314] Loss_D: -0.025782 Loss_G: -0.002949 Loss_D_real: -0.010951 Loss_D_fake 0.014831
[809/5000][180/535][83315] Loss_D: -0.023074 Loss_G: -0.006941 Loss_D_real: -0.006449 Loss_D_fake 0.016625
[809/5000][185/535][83316] Loss_D: -0.023446 Loss_G: 0.018575 Loss_D_real: -0.028029 Loss_D_fake -0.004582
[809/5000][190/535][83317] Loss_D: -0.023158 Loss_G: -0.008729 Loss_D_real: -0.007820 Loss_D_fake 0.015338
[809/5000][195/535][83318] Loss_D: -0.023888 Loss_G: 0.004067 Loss_D_real: -0.005196 Loss_D_fake 0.018692
[809/5000][200/535][83319] Loss_D: -0.024078 Loss_G: -0.000933 Loss_D_real: -0.008567 Loss_D_fake 0.015511
[809/5000][205/535][83320] Loss_D: -0.021889 Loss_G: 0.027075 Loss_D_real: -0.030669 Loss_D_fake -0.008780
[809/5000][210/535][83321] Loss_D: -0.024285 Loss_G: 0.009053 Loss_D_real: -0.023047 Loss_D_fake 0.001239
[809/5000][215/535][83322] Loss_D: -0.024298 Loss_G: 0.003335 Loss_D_real: -0.010427 Loss_D_fake 0.013871
[809/5000][220/535][83323] Loss_D: -0.025629 Loss_G: 0.010192 Loss_D_real: -0.025122 Loss_D_fake 0.000508
[809/5000][225/535][83324] Loss_D: -0.023142 Loss_G: 0.015505 Loss_D_real: -0.020539 Loss_D_fake 0.002603
[809/5000][230/535][83325] Loss_D: -0.022623 Loss_G: 0.017944 Loss_D_real: -0.020297 Loss_D_fake 0.002326
[809/5000][235/535][83326] Loss_D: -0.022784 Loss_G: 0.012302 Loss_D_real: -0.023104 Loss_D_fake -0.000320
[809/5000][240/535][83327] Loss_D: -0.023788 Loss_G: 0.020458 Loss_D_real: -0.023454 Loss_D_fake 0.000334
[809/5000][245/535][83328] Loss_D: -0.023194 Loss_G: 0.008281 Loss_D_real: -0.020649 Loss_D_fake 0.002545
[809/5000][250/535][83329] Loss_D: -0.023911 Loss_G: 0.005701 Loss_D_real: -0.019350 Loss_D_fake 0.004561
[809/5000][255/535][83330] Loss_D: -0.023194 Loss_G: 0.020538 Loss_D_real: -0.026733 Loss_D_fake -0.003540
[809/5000][260/535][83331] Loss_D: -0.022723 Loss_G: 0.008150 Loss_D_real: -0.017772 Loss_D_fake 0.004951
[809/5000][265/535][83332] Loss_D: -0.024734 Loss_G: -0.002309 Loss_D_real: -0.018668 Loss_D_fake 0.006067
[809/5000][270/535][83333] Loss_D: -0.021810 Loss_G: 0.011316 Loss_D_real: -0.025252 Loss_D_fake -0.003441
[809/5000][275/535][83334] Loss_D: -0.022806 Loss_G: 0.006980 Loss_D_real: -0.018560 Loss_D_fake 0.004245
[809/5000][280/535][83335] Loss_D: -0.023029 Loss_G: 0.021160 Loss_D_real: -0.022887 Loss_D_fake 0.000142
[809/5000][285/535][83336] Loss_D: -0.024675 Loss_G: 0.019240 Loss_D_real: -0.029086 Loss_D_fake -0.004412
[809/5000][290/535][83337] Loss_D: -0.024201 Loss_G: 0.010498 Loss_D_real: -0.017230 Loss_D_fake 0.006970
[809/5000][295/535][83338] Loss_D: -0.023296 Loss_G: 0.023423 Loss_D_real: -0.019399 Loss_D_fake 0.003897
[809/5000][300/535][83339] Loss_D: -0.023528 Loss_G: -0.006045 Loss_D_real: -0.008733 Loss_D_fake 0.014795
[809/5000][305/535][83340] Loss_D: -0.022565 Loss_G: -0.001673 Loss_D_real: -0.004458 Loss_D_fake 0.018107
[809/5000][310/535][83341] Loss_D: -0.024554 Loss_G: 0.020162 Loss_D_real: -0.013898 Loss_D_fake 0.010656
[809/5000][315/535][83342] Loss_D: -0.023586 Loss_G: -0.011919 Loss_D_real: -0.011402 Loss_D_fake 0.012184
[809/5000][320/535][83343] Loss_D: -0.023188 Loss_G: 0.017034 Loss_D_real: -0.016930 Loss_D_fake 0.006258
[809/5000][325/535][83344] Loss_D: -0.023542 Loss_G: -0.008899 Loss_D_real: -0.007484 Loss_D_fake 0.016057
[809/5000][330/535][83345] Loss_D: -0.022351 Loss_G: 0.029959 Loss_D_real: -0.030892 Loss_D_fake -0.008541
[809/5000][335/535][83346] Loss_D: -0.023118 Loss_G: 0.008063 Loss_D_real: -0.015158 Loss_D_fake 0.007960
[809/5000][340/535][83347] Loss_D: -0.024120 Loss_G: 0.002467 Loss_D_real: -0.017142 Loss_D_fake 0.006978
[809/5000][345/535][83348] Loss_D: -0.023570 Loss_G: -0.007616 Loss_D_real: -0.009480 Loss_D_fake 0.014091
[809/5000][350/535][83349] Loss_D: -0.024373 Loss_G: 0.017142 Loss_D_real: -0.021237 Loss_D_fake 0.003136
[809/5000][355/535][83350] Loss_D: -0.022106 Loss_G: 0.021758 Loss_D_real: -0.022349 Loss_D_fake -0.000243
[809/5000][360/535][83351] Loss_D: -0.023712 Loss_G: 0.005915 Loss_D_real: -0.015345 Loss_D_fake 0.008367
[809/5000][365/535][83352] Loss_D: -0.022045 Loss_G: -0.012609 Loss_D_real: 0.000337 Loss_D_fake 0.022381
[809/5000][370/535][83353] Loss_D: -0.023163 Loss_G: 0.005777 Loss_D_real: -0.018270 Loss_D_fake 0.004893
[809/5000][375/535][83354] Loss_D: -0.024131 Loss_G: 0.005593 Loss_D_real: -0.020654 Loss_D_fake 0.003477
[809/5000][380/535][83355] Loss_D: -0.023211 Loss_G: 0.013095 Loss_D_real: -0.030009 Loss_D_fake -0.006798
[809/5000][385/535][83356] Loss_D: -0.023781 Loss_G: 0.016399 Loss_D_real: -0.030454 Loss_D_fake -0.006673
[809/5000][390/535][83357] Loss_D: -0.023261 Loss_G: 0.022212 Loss_D_real: -0.039179 Loss_D_fake -0.015917
[809/5000][395/535][83358] Loss_D: -0.021915 Loss_G: 0.018146 Loss_D_real: -0.027517 Loss_D_fake -0.005602
[809/5000][400/535][83359] Loss_D: -0.022063 Loss_G: 0.018643 Loss_D_real: -0.024207 Loss_D_fake -0.002144
[809/5000][405/535][83360] Loss_D: -0.023426 Loss_G: 0.004826 Loss_D_real: -0.025123 Loss_D_fake -0.001698
[809/5000][410/535][83361] Loss_D: -0.023661 Loss_G: 0.005288 Loss_D_real: -0.018811 Loss_D_fake 0.004850
[809/5000][415/535][83362] Loss_D: -0.022311 Loss_G: 0.005102 Loss_D_real: -0.020875 Loss_D_fake 0.001436
[809/5000][420/535][83363] Loss_D: -0.023231 Loss_G: 0.006534 Loss_D_real: -0.015023 Loss_D_fake 0.008208
[809/5000][425/535][83364] Loss_D: -0.022617 Loss_G: 0.001402 Loss_D_real: -0.024459 Loss_D_fake -0.001842
[809/5000][430/535][83365] Loss_D: -0.022699 Loss_G: 0.004265 Loss_D_real: -0.025805 Loss_D_fake -0.003106
[809/5000][435/535][83366] Loss_D: -0.023649 Loss_G: 0.011917 Loss_D_real: -0.017918 Loss_D_fake 0.005731
[809/5000][440/535][83367] Loss_D: -0.023539 Loss_G: -0.014509 Loss_D_real: 0.010748 Loss_D_fake 0.034287
[809/5000][445/535][83368] Loss_D: -0.022626 Loss_G: 0.000548 Loss_D_real: -0.014975 Loss_D_fake 0.007651
[809/5000][450/535][83369] Loss_D: -0.024834 Loss_G: 0.002474 Loss_D_real: -0.020457 Loss_D_fake 0.004378
[809/5000][455/535][83370] Loss_D: -0.023027 Loss_G: -0.010043 Loss_D_real: 0.003193 Loss_D_fake 0.026220
[809/5000][460/535][83371] Loss_D: -0.023981 Loss_G: 0.002730 Loss_D_real: -0.014297 Loss_D_fake 0.009684
[809/5000][465/535][83372] Loss_D: -0.024075 Loss_G: 0.006618 Loss_D_real: -0.001703 Loss_D_fake 0.022372
[809/5000][470/535][83373] Loss_D: -0.023608 Loss_G: 0.020970 Loss_D_real: -0.034451 Loss_D_fake -0.010843
[809/5000][475/535][83374] Loss_D: -0.025460 Loss_G: 0.004550 Loss_D_real: -0.005138 Loss_D_fake 0.020322
[809/5000][480/535][83375] Loss_D: -0.023019 Loss_G: 0.016685 Loss_D_real: -0.027461 Loss_D_fake -0.004442
[809/5000][485/535][83376] Loss_D: -0.025880 Loss_G: 0.012499 Loss_D_real: -0.027246 Loss_D_fake -0.001366
[809/5000][490/535][83377] Loss_D: -0.024665 Loss_G: 0.012438 Loss_D_real: -0.019897 Loss_D_fake 0.004768
[809/5000][495/535][83378] Loss_D: -0.022299 Loss_G: 0.002005 Loss_D_real: -0.017071 Loss_D_fake 0.005228
[809/5000][500/535][83379] Loss_D: -0.022910 Loss_G: 0.008913 Loss_D_real: -0.022809 Loss_D_fake 0.000100
[809/5000][505/535][83380] Loss_D: -0.024074 Loss_G: 0.007555 Loss_D_real: -0.021941 Loss_D_fake 0.002133
[809/5000][510/535][83381] Loss_D: -0.022131 Loss_G: 0.023407 Loss_D_real: -0.037363 Loss_D_fake -0.015232
[809/5000][515/535][83382] Loss_D: -0.023478 Loss_G: 0.003307 Loss_D_real: -0.008605 Loss_D_fake 0.014873
[809/5000][520/535][83383] Loss_D: -0.022684 Loss_G: -0.007948 Loss_D_real: -0.008331 Loss_D_fake 0.014352
[809/5000][525/535][83384] Loss_D: -0.023587 Loss_G: 0.013123 Loss_D_real: -0.014943 Loss_D_fake 0.008644
[809/5000][530/535][83385] Loss_D: -0.022866 Loss_G: 0.001406 Loss_D_real: -0.006395 Loss_D_fake 0.016472
[809/5000][535/535][83386] Loss_D: -0.022540 Loss_G: 0.021230 Loss_D_real: -0.017815 Loss_D_fake 0.004725
[810/5000][5/535][83387] Loss_D: -0.024111 Loss_G: -0.000902 Loss_D_real: -0.008533 Loss_D_fake 0.015578
[810/5000][10/535][83388] Loss_D: -0.023230 Loss_G: 0.012727 Loss_D_real: -0.022470 Loss_D_fake 0.000760
[810/5000][15/535][83389] Loss_D: -0.023831 Loss_G: 0.010394 Loss_D_real: -0.014636 Loss_D_fake 0.009194
[810/5000][20/535][83390] Loss_D: -0.024090 Loss_G: -0.004551 Loss_D_real: -0.007860 Loss_D_fake 0.016231
[810/5000][25/535][83391] Loss_D: -0.023424 Loss_G: 0.007206 Loss_D_real: -0.029002 Loss_D_fake -0.005579
[810/5000][30/535][83392] Loss_D: -0.022832 Loss_G: 0.024268 Loss_D_real: -0.031127 Loss_D_fake -0.008295
[810/5000][35/535][83393] Loss_D: -0.022895 Loss_G: 0.033968 Loss_D_real: -0.032284 Loss_D_fake -0.009390
[810/5000][40/535][83394] Loss_D: -0.023334 Loss_G: 0.006091 Loss_D_real: -0.019317 Loss_D_fake 0.004018
[810/5000][45/535][83395] Loss_D: -0.022499 Loss_G: 0.001879 Loss_D_real: -0.010645 Loss_D_fake 0.011854
[810/5000][50/535][83396] Loss_D: -0.023386 Loss_G: 0.021032 Loss_D_real: -0.033507 Loss_D_fake -0.010121
[810/5000][55/535][83397] Loss_D: -0.022642 Loss_G: -0.011539 Loss_D_real: 0.005799 Loss_D_fake 0.028441
[810/5000][60/535][83398] Loss_D: -0.021617 Loss_G: 0.015941 Loss_D_real: -0.029303 Loss_D_fake -0.007685
[810/5000][65/535][83399] Loss_D: -0.023427 Loss_G: 0.031474 Loss_D_real: -0.019457 Loss_D_fake 0.003970
[810/5000][70/535][83400] Loss_D: -0.023637 Loss_G: -0.005970 Loss_D_real: -0.013253 Loss_D_fake 0.010384
[810/5000][75/535][83401] Loss_D: -0.023823 Loss_G: 0.019936 Loss_D_real: -0.019007 Loss_D_fake 0.004816
[810/5000][80/535][83402] Loss_D: -0.023574 Loss_G: -0.002768 Loss_D_real: -0.006708 Loss_D_fake 0.016866
[810/5000][85/535][83403] Loss_D: -0.023982 Loss_G: 0.018887 Loss_D_real: -0.015197 Loss_D_fake 0.008785
[810/5000][90/535][83404] Loss_D: -0.023909 Loss_G: 0.014057 Loss_D_real: -0.017139 Loss_D_fake 0.006770
[810/5000][95/535][83405] Loss_D: -0.022855 Loss_G: 0.016256 Loss_D_real: -0.018785 Loss_D_fake 0.004070
[810/5000][100/535][83406] Loss_D: -0.023569 Loss_G: -0.007807 Loss_D_real: -0.005155 Loss_D_fake 0.018414
[810/5000][105/535][83407] Loss_D: -0.023532 Loss_G: 0.012315 Loss_D_real: -0.015349 Loss_D_fake 0.008183
[810/5000][110/535][83408] Loss_D: -0.024338 Loss_G: 0.007128 Loss_D_real: -0.017710 Loss_D_fake 0.006628
[810/5000][115/535][83409] Loss_D: -0.024050 Loss_G: 0.018702 Loss_D_real: -0.030444 Loss_D_fake -0.006394
[810/5000][120/535][83410] Loss_D: -0.024390 Loss_G: 0.002884 Loss_D_real: -0.018249 Loss_D_fake 0.006140
[810/5000][125/535][83411] Loss_D: -0.023258 Loss_G: 0.018224 Loss_D_real: -0.034386 Loss_D_fake -0.011128
[810/5000][130/535][83412] Loss_D: -0.024506 Loss_G: 0.004972 Loss_D_real: -0.019968 Loss_D_fake 0.004538
[810/5000][135/535][83413] Loss_D: -0.024098 Loss_G: 0.025509 Loss_D_real: -0.027786 Loss_D_fake -0.003688
[810/5000][140/535][83414] Loss_D: -0.022292 Loss_G: 0.024464 Loss_D_real: -0.025022 Loss_D_fake -0.002731
[810/5000][145/535][83415] Loss_D: -0.022871 Loss_G: 0.018497 Loss_D_real: -0.021218 Loss_D_fake 0.001653
[810/5000][150/535][83416] Loss_D: -0.022626 Loss_G: 0.024092 Loss_D_real: -0.027628 Loss_D_fake -0.005001
[810/5000][155/535][83417] Loss_D: -0.023241 Loss_G: 0.000886 Loss_D_real: -0.009687 Loss_D_fake 0.013554
[810/5000][160/535][83418] Loss_D: -0.023851 Loss_G: 0.000491 Loss_D_real: -0.010905 Loss_D_fake 0.012946
[810/5000][165/535][83419] Loss_D: -0.023246 Loss_G: 0.006619 Loss_D_real: -0.013252 Loss_D_fake 0.009994
[810/5000][170/535][83420] Loss_D: -0.022929 Loss_G: 0.002488 Loss_D_real: -0.008147 Loss_D_fake 0.014782
[810/5000][175/535][83421] Loss_D: -0.024067 Loss_G: 0.021271 Loss_D_real: -0.026123 Loss_D_fake -0.002057
[810/5000][180/535][83422] Loss_D: -0.020918 Loss_G: -0.025088 Loss_D_real: 0.002773 Loss_D_fake 0.023691
[810/5000][185/535][83423] Loss_D: -0.022109 Loss_G: 0.015718 Loss_D_real: -0.018770 Loss_D_fake 0.003338
[810/5000][190/535][83424] Loss_D: -0.022373 Loss_G: -0.003311 Loss_D_real: -0.009522 Loss_D_fake 0.012851
[810/5000][195/535][83425] Loss_D: -0.021144 Loss_G: -0.006229 Loss_D_real: -0.023109 Loss_D_fake -0.001965
[810/5000][200/535][83426] Loss_D: -0.024339 Loss_G: 0.029960 Loss_D_real: -0.033046 Loss_D_fake -0.008707
[810/5000][205/535][83427] Loss_D: -0.022413 Loss_G: 0.002506 Loss_D_real: -0.014095 Loss_D_fake 0.008318
[810/5000][210/535][83428] Loss_D: -0.022626 Loss_G: 0.020619 Loss_D_real: -0.027116 Loss_D_fake -0.004491
[810/5000][215/535][83429] Loss_D: -0.023464 Loss_G: -0.003483 Loss_D_real: -0.013648 Loss_D_fake 0.009816
[810/5000][220/535][83430] Loss_D: -0.023767 Loss_G: 0.029583 Loss_D_real: -0.031825 Loss_D_fake -0.008058
[810/5000][225/535][83431] Loss_D: -0.023865 Loss_G: 0.011274 Loss_D_real: -0.009610 Loss_D_fake 0.014255
[810/5000][230/535][83432] Loss_D: -0.022979 Loss_G: 0.016408 Loss_D_real: -0.021118 Loss_D_fake 0.001861
[810/5000][235/535][83433] Loss_D: -0.022992 Loss_G: -0.001835 Loss_D_real: -0.013578 Loss_D_fake 0.009414
[810/5000][240/535][83434] Loss_D: -0.022851 Loss_G: 0.011404 Loss_D_real: -0.027585 Loss_D_fake -0.004734
[810/5000][245/535][83435] Loss_D: -0.023405 Loss_G: -0.005741 Loss_D_real: -0.009290 Loss_D_fake 0.014115
[810/5000][250/535][83436] Loss_D: -0.022909 Loss_G: 0.007772 Loss_D_real: -0.012545 Loss_D_fake 0.010364
[810/5000][255/535][83437] Loss_D: -0.023047 Loss_G: 0.004269 Loss_D_real: -0.013666 Loss_D_fake 0.009381
[810/5000][260/535][83438] Loss_D: -0.023028 Loss_G: 0.004163 Loss_D_real: -0.011898 Loss_D_fake 0.011130
[810/5000][265/535][83439] Loss_D: -0.022350 Loss_G: -0.006966 Loss_D_real: -0.007215 Loss_D_fake 0.015135
[810/5000][270/535][83440] Loss_D: -0.022194 Loss_G: -0.001552 Loss_D_real: -0.004115 Loss_D_fake 0.018080
[810/5000][275/535][83441] Loss_D: -0.022657 Loss_G: 0.004161 Loss_D_real: -0.022827 Loss_D_fake -0.000169
[810/5000][280/535][83442] Loss_D: -0.023374 Loss_G: 0.006857 Loss_D_real: -0.019565 Loss_D_fake 0.003809
[810/5000][285/535][83443] Loss_D: -0.023681 Loss_G: 0.006479 Loss_D_real: -0.015069 Loss_D_fake 0.008612
[810/5000][290/535][83444] Loss_D: -0.023479 Loss_G: 0.016191 Loss_D_real: -0.027569 Loss_D_fake -0.004089
[810/5000][295/535][83445] Loss_D: -0.023068 Loss_G: -0.002987 Loss_D_real: -0.004372 Loss_D_fake 0.018696
[810/5000][300/535][83446] Loss_D: -0.022280 Loss_G: 0.028666 Loss_D_real: -0.020418 Loss_D_fake 0.001862
[810/5000][305/535][83447] Loss_D: -0.022451 Loss_G: 0.014761 Loss_D_real: -0.022450 Loss_D_fake 0.000001
[810/5000][310/535][83448] Loss_D: -0.023609 Loss_G: 0.023401 Loss_D_real: -0.022933 Loss_D_fake 0.000676
[810/5000][315/535][83449] Loss_D: -0.021088 Loss_G: 0.024843 Loss_D_real: -0.039151 Loss_D_fake -0.018063
[810/5000][320/535][83450] Loss_D: -0.023388 Loss_G: -0.005267 Loss_D_real: -0.005657 Loss_D_fake 0.017731
[810/5000][325/535][83451] Loss_D: -0.022065 Loss_G: 0.015116 Loss_D_real: -0.027043 Loss_D_fake -0.004978
[810/5000][330/535][83452] Loss_D: -0.023282 Loss_G: -0.004377 Loss_D_real: -0.005630 Loss_D_fake 0.017651
[810/5000][335/535][83453] Loss_D: -0.023247 Loss_G: 0.004258 Loss_D_real: -0.012644 Loss_D_fake 0.010603
[810/5000][340/535][83454] Loss_D: -0.023810 Loss_G: 0.002661 Loss_D_real: -0.015617 Loss_D_fake 0.008193
[810/5000][345/535][83455] Loss_D: -0.023303 Loss_G: 0.014069 Loss_D_real: -0.022180 Loss_D_fake 0.001122
[810/5000][350/535][83456] Loss_D: -0.024433 Loss_G: -0.007741 Loss_D_real: -0.011095 Loss_D_fake 0.013338
[810/5000][355/535][83457] Loss_D: -0.023055 Loss_G: 0.024918 Loss_D_real: -0.030048 Loss_D_fake -0.006993
[810/5000][360/535][83458] Loss_D: -0.023515 Loss_G: 0.008514 Loss_D_real: -0.015195 Loss_D_fake 0.008320
[810/5000][365/535][83459] Loss_D: -0.025169 Loss_G: 0.004543 Loss_D_real: -0.018325 Loss_D_fake 0.006844
[810/5000][370/535][83460] Loss_D: -0.024444 Loss_G: 0.021081 Loss_D_real: -0.026022 Loss_D_fake -0.001578
[810/5000][375/535][83461] Loss_D: -0.024526 Loss_G: 0.017781 Loss_D_real: -0.023899 Loss_D_fake 0.000627
[810/5000][380/535][83462] Loss_D: -0.023976 Loss_G: 0.009750 Loss_D_real: -0.020677 Loss_D_fake 0.003299
[810/5000][385/535][83463] Loss_D: -0.023290 Loss_G: 0.010466 Loss_D_real: -0.029912 Loss_D_fake -0.006622
[810/5000][390/535][83464] Loss_D: -0.024060 Loss_G: -0.005318 Loss_D_real: -0.000561 Loss_D_fake 0.023498
[810/5000][395/535][83465] Loss_D: -0.023046 Loss_G: 0.016815 Loss_D_real: -0.020355 Loss_D_fake 0.002691
[810/5000][400/535][83466] Loss_D: -0.022879 Loss_G: 0.019855 Loss_D_real: -0.024839 Loss_D_fake -0.001960
[810/5000][405/535][83467] Loss_D: -0.023026 Loss_G: -0.002281 Loss_D_real: -0.006978 Loss_D_fake 0.016048
[810/5000][410/535][83468] Loss_D: -0.023631 Loss_G: 0.012685 Loss_D_real: -0.036815 Loss_D_fake -0.013184
[810/5000][415/535][83469] Loss_D: -0.024257 Loss_G: 0.006479 Loss_D_real: -0.017083 Loss_D_fake 0.007174
[810/5000][420/535][83470] Loss_D: -0.023151 Loss_G: -0.014304 Loss_D_real: -0.008515 Loss_D_fake 0.014636
[810/5000][425/535][83471] Loss_D: -0.025283 Loss_G: 0.003265 Loss_D_real: -0.018540 Loss_D_fake 0.006743
[810/5000][430/535][83472] Loss_D: -0.022731 Loss_G: 0.023078 Loss_D_real: -0.019945 Loss_D_fake 0.002786
[810/5000][435/535][83473] Loss_D: -0.024408 Loss_G: 0.023151 Loss_D_real: -0.021627 Loss_D_fake 0.002781
[810/5000][440/535][83474] Loss_D: -0.024118 Loss_G: -0.000701 Loss_D_real: -0.009324 Loss_D_fake 0.014794
[810/5000][445/535][83475] Loss_D: -0.022165 Loss_G: 0.007567 Loss_D_real: -0.010214 Loss_D_fake 0.011951
[810/5000][450/535][83476] Loss_D: -0.022713 Loss_G: 0.026578 Loss_D_real: -0.030030 Loss_D_fake -0.007317
[810/5000][455/535][83477] Loss_D: -0.021407 Loss_G: -0.008937 Loss_D_real: -0.002718 Loss_D_fake 0.018688
[810/5000][460/535][83478] Loss_D: -0.024140 Loss_G: 0.007743 Loss_D_real: -0.029283 Loss_D_fake -0.005143
[810/5000][465/535][83479] Loss_D: -0.022078 Loss_G: -0.004179 Loss_D_real: -0.009369 Loss_D_fake 0.012709
[810/5000][470/535][83480] Loss_D: -0.023602 Loss_G: 0.004490 Loss_D_real: -0.024287 Loss_D_fake -0.000685
[810/5000][475/535][83481] Loss_D: -0.022660 Loss_G: 0.014011 Loss_D_real: -0.026422 Loss_D_fake -0.003761
[810/5000][480/535][83482] Loss_D: -0.022910 Loss_G: 0.022091 Loss_D_real: -0.031324 Loss_D_fake -0.008414
[810/5000][485/535][83483] Loss_D: -0.023193 Loss_G: -0.007843 Loss_D_real: -0.001277 Loss_D_fake 0.021916
[810/5000][490/535][83484] Loss_D: -0.023638 Loss_G: 0.004548 Loss_D_real: -0.014419 Loss_D_fake 0.009220
[810/5000][495/535][83485] Loss_D: -0.023471 Loss_G: 0.007719 Loss_D_real: -0.028697 Loss_D_fake -0.005226
[810/5000][500/535][83486] Loss_D: -0.022101 Loss_G: 0.018909 Loss_D_real: -0.029065 Loss_D_fake -0.006964
[810/5000][505/535][83487] Loss_D: -0.023655 Loss_G: 0.011091 Loss_D_real: -0.013682 Loss_D_fake 0.009973
[810/5000][510/535][83488] Loss_D: -0.024268 Loss_G: 0.003795 Loss_D_real: -0.011854 Loss_D_fake 0.012414
[810/5000][515/535][83489] Loss_D: -0.024473 Loss_G: -0.003671 Loss_D_real: -0.017328 Loss_D_fake 0.007144
[810/5000][520/535][83490] Loss_D: -0.022761 Loss_G: -0.010518 Loss_D_real: 0.006041 Loss_D_fake 0.028802
[810/5000][525/535][83491] Loss_D: -0.022355 Loss_G: -0.006336 Loss_D_real: -0.013341 Loss_D_fake 0.009013
[810/5000][530/535][83492] Loss_D: -0.023554 Loss_G: -0.003133 Loss_D_real: -0.008885 Loss_D_fake 0.014669
[810/5000][535/535][83493] Loss_D: -0.022742 Loss_G: -0.018372 Loss_D_real: -0.021592 Loss_D_fake 0.001150
[811/5000][5/535][83494] Loss_D: -0.023954 Loss_G: 0.022877 Loss_D_real: -0.017086 Loss_D_fake 0.006868
[811/5000][10/535][83495] Loss_D: -0.023953 Loss_G: 0.026094 Loss_D_real: -0.023927 Loss_D_fake 0.000025
[811/5000][15/535][83496] Loss_D: -0.024082 Loss_G: 0.006527 Loss_D_real: -0.009784 Loss_D_fake 0.014297
[811/5000][20/535][83497] Loss_D: -0.023999 Loss_G: 0.008855 Loss_D_real: -0.013823 Loss_D_fake 0.010176
[811/5000][25/535][83498] Loss_D: -0.023524 Loss_G: 0.010500 Loss_D_real: -0.024997 Loss_D_fake -0.001473
[811/5000][30/535][83499] Loss_D: -0.023294 Loss_G: 0.008192 Loss_D_real: -0.014275 Loss_D_fake 0.009020
[811/5000][35/535][83500] Loss_D: -0.023236 Loss_G: -0.004703 Loss_D_real: -0.014378 Loss_D_fake 0.008858
[811/5000][135/535][83501] Loss_D: -0.028512 Loss_G: 0.011283 Loss_D_real: -0.025286 Loss_D_fake 0.003227
[811/5000][140/535][83502] Loss_D: -0.024430 Loss_G: 0.009993 Loss_D_real: -0.014207 Loss_D_fake 0.010223
[811/5000][145/535][83503] Loss_D: -0.021915 Loss_G: 0.003893 Loss_D_real: -0.018322 Loss_D_fake 0.003594
[811/5000][150/535][83504] Loss_D: -0.020298 Loss_G: 0.019363 Loss_D_real: -0.015129 Loss_D_fake 0.005169
[811/5000][155/535][83505] Loss_D: -0.020934 Loss_G: 0.025462 Loss_D_real: -0.017195 Loss_D_fake 0.003739
[811/5000][160/535][83506] Loss_D: -0.021464 Loss_G: 0.010716 Loss_D_real: -0.018861 Loss_D_fake 0.002604
[811/5000][165/535][83507] Loss_D: -0.023380 Loss_G: 0.015713 Loss_D_real: -0.023726 Loss_D_fake -0.000346
[811/5000][170/535][83508] Loss_D: -0.021761 Loss_G: 0.001215 Loss_D_real: -0.017182 Loss_D_fake 0.004579
[811/5000][175/535][83509] Loss_D: -0.023656 Loss_G: 0.002598 Loss_D_real: -0.019287 Loss_D_fake 0.004369
[811/5000][180/535][83510] Loss_D: -0.022183 Loss_G: -0.011189 Loss_D_real: -0.014276 Loss_D_fake 0.007907
[811/5000][185/535][83511] Loss_D: -0.022547 Loss_G: 0.018288 Loss_D_real: -0.022701 Loss_D_fake -0.000155
[811/5000][190/535][83512] Loss_D: -0.022196 Loss_G: 0.001843 Loss_D_real: -0.007202 Loss_D_fake 0.014994
[811/5000][195/535][83513] Loss_D: -0.021721 Loss_G: 0.007007 Loss_D_real: -0.012704 Loss_D_fake 0.009017
[811/5000][200/535][83514] Loss_D: -0.023904 Loss_G: 0.003211 Loss_D_real: -0.014795 Loss_D_fake 0.009109
[811/5000][205/535][83515] Loss_D: -0.022524 Loss_G: 0.006379 Loss_D_real: -0.019880 Loss_D_fake 0.002644
[811/5000][210/535][83516] Loss_D: -0.023007 Loss_G: 0.013247 Loss_D_real: -0.027524 Loss_D_fake -0.004516
[811/5000][215/535][83517] Loss_D: -0.023626 Loss_G: 0.009854 Loss_D_real: -0.027818 Loss_D_fake -0.004192
[811/5000][220/535][83518] Loss_D: -0.023153 Loss_G: 0.005608 Loss_D_real: -0.012879 Loss_D_fake 0.010274
[811/5000][225/535][83519] Loss_D: -0.023055 Loss_G: 0.002214 Loss_D_real: -0.020495 Loss_D_fake 0.002560
[811/5000][230/535][83520] Loss_D: -0.022923 Loss_G: 0.011761 Loss_D_real: -0.020120 Loss_D_fake 0.002804
[811/5000][235/535][83521] Loss_D: -0.023226 Loss_G: -0.005755 Loss_D_real: -0.013612 Loss_D_fake 0.009614
[811/5000][240/535][83522] Loss_D: -0.022566 Loss_G: 0.011402 Loss_D_real: -0.006373 Loss_D_fake 0.016193
[811/5000][245/535][83523] Loss_D: -0.024216 Loss_G: 0.009179 Loss_D_real: -0.015235 Loss_D_fake 0.008981
[811/5000][250/535][83524] Loss_D: -0.023180 Loss_G: -0.006603 Loss_D_real: -0.008920 Loss_D_fake 0.014260
[811/5000][255/535][83525] Loss_D: -0.022913 Loss_G: 0.012752 Loss_D_real: -0.032504 Loss_D_fake -0.009591
[811/5000][260/535][83526] Loss_D: -0.023063 Loss_G: -0.000565 Loss_D_real: -0.005575 Loss_D_fake 0.017488
[811/5000][265/535][83527] Loss_D: -0.023278 Loss_G: 0.013990 Loss_D_real: -0.029910 Loss_D_fake -0.006632
[811/5000][270/535][83528] Loss_D: -0.024237 Loss_G: 0.021665 Loss_D_real: -0.022427 Loss_D_fake 0.001810
[811/5000][275/535][83529] Loss_D: -0.023760 Loss_G: 0.011129 Loss_D_real: -0.014899 Loss_D_fake 0.008861
[811/5000][280/535][83530] Loss_D: -0.024301 Loss_G: 0.020406 Loss_D_real: -0.015610 Loss_D_fake 0.008690
[811/5000][285/535][83531] Loss_D: -0.023256 Loss_G: 0.001495 Loss_D_real: -0.012665 Loss_D_fake 0.010591
[811/5000][290/535][83532] Loss_D: -0.022628 Loss_G: 0.004266 Loss_D_real: -0.013223 Loss_D_fake 0.009406
[811/5000][295/535][83533] Loss_D: -0.023550 Loss_G: 0.003884 Loss_D_real: -0.024041 Loss_D_fake -0.000491
[811/5000][300/535][83534] Loss_D: -0.024114 Loss_G: -0.006917 Loss_D_real: -0.009204 Loss_D_fake 0.014910
[811/5000][305/535][83535] Loss_D: -0.023103 Loss_G: 0.016969 Loss_D_real: -0.024000 Loss_D_fake -0.000897
[811/5000][310/535][83536] Loss_D: -0.023924 Loss_G: 0.011898 Loss_D_real: -0.016013 Loss_D_fake 0.007911
[811/5000][315/535][83537] Loss_D: -0.021688 Loss_G: 0.009481 Loss_D_real: -0.019626 Loss_D_fake 0.002062
[811/5000][320/535][83538] Loss_D: -0.022406 Loss_G: 0.024793 Loss_D_real: -0.029191 Loss_D_fake -0.006785
[811/5000][325/535][83539] Loss_D: -0.022666 Loss_G: 0.017672 Loss_D_real: -0.032611 Loss_D_fake -0.009945
[811/5000][330/535][83540] Loss_D: -0.024336 Loss_G: 0.017235 Loss_D_real: -0.022277 Loss_D_fake 0.002058
[811/5000][335/535][83541] Loss_D: -0.023273 Loss_G: 0.004854 Loss_D_real: -0.009949 Loss_D_fake 0.013324
[811/5000][340/535][83542] Loss_D: -0.023312 Loss_G: 0.010757 Loss_D_real: -0.012324 Loss_D_fake 0.010989
[811/5000][345/535][83543] Loss_D: -0.023731 Loss_G: 0.006777 Loss_D_real: -0.016353 Loss_D_fake 0.007378
[811/5000][350/535][83544] Loss_D: -0.023039 Loss_G: 0.010008 Loss_D_real: -0.016282 Loss_D_fake 0.006757
[811/5000][355/535][83545] Loss_D: -0.023245 Loss_G: 0.019092 Loss_D_real: -0.029127 Loss_D_fake -0.005882
[811/5000][360/535][83546] Loss_D: -0.022458 Loss_G: 0.006598 Loss_D_real: -0.011297 Loss_D_fake 0.011161
[811/5000][365/535][83547] Loss_D: -0.021941 Loss_G: 0.012262 Loss_D_real: -0.027855 Loss_D_fake -0.005914
[811/5000][370/535][83548] Loss_D: -0.024423 Loss_G: 0.007447 Loss_D_real: -0.014714 Loss_D_fake 0.009709
[811/5000][375/535][83549] Loss_D: -0.024330 Loss_G: 0.017524 Loss_D_real: -0.020108 Loss_D_fake 0.004222
[811/5000][380/535][83550] Loss_D: -0.024168 Loss_G: 0.007445 Loss_D_real: -0.018653 Loss_D_fake 0.005515
[811/5000][385/535][83551] Loss_D: -0.023219 Loss_G: 0.007159 Loss_D_real: -0.023742 Loss_D_fake -0.000523
[811/5000][390/535][83552] Loss_D: -0.024806 Loss_G: 0.011851 Loss_D_real: -0.023980 Loss_D_fake 0.000826
[811/5000][395/535][83553] Loss_D: -0.024829 Loss_G: 0.008793 Loss_D_real: -0.024051 Loss_D_fake 0.000778
[811/5000][400/535][83554] Loss_D: -0.023050 Loss_G: -0.009844 Loss_D_real: -0.006376 Loss_D_fake 0.016674
[811/5000][405/535][83555] Loss_D: -0.022220 Loss_G: 0.002554 Loss_D_real: -0.007730 Loss_D_fake 0.014491
[811/5000][410/535][83556] Loss_D: -0.022278 Loss_G: 0.026089 Loss_D_real: -0.035919 Loss_D_fake -0.013641
[811/5000][415/535][83557] Loss_D: -0.023467 Loss_G: 0.016992 Loss_D_real: -0.024222 Loss_D_fake -0.000754
[811/5000][420/535][83558] Loss_D: -0.023954 Loss_G: 0.008073 Loss_D_real: -0.010620 Loss_D_fake 0.013334
[811/5000][425/535][83559] Loss_D: -0.022394 Loss_G: 0.019842 Loss_D_real: -0.030327 Loss_D_fake -0.007932
[811/5000][430/535][83560] Loss_D: -0.024310 Loss_G: -0.007713 Loss_D_real: -0.004978 Loss_D_fake 0.019332
[811/5000][435/535][83561] Loss_D: -0.020942 Loss_G: 0.018792 Loss_D_real: -0.020904 Loss_D_fake 0.000038
[811/5000][440/535][83562] Loss_D: -0.024279 Loss_G: 0.006758 Loss_D_real: -0.018411 Loss_D_fake 0.005869
[811/5000][445/535][83563] Loss_D: -0.022992 Loss_G: 0.019452 Loss_D_real: -0.028010 Loss_D_fake -0.005019
[811/5000][450/535][83564] Loss_D: -0.024302 Loss_G: 0.023384 Loss_D_real: -0.024757 Loss_D_fake -0.000455
[811/5000][455/535][83565] Loss_D: -0.023947 Loss_G: 0.008556 Loss_D_real: -0.019561 Loss_D_fake 0.004386
[811/5000][460/535][83566] Loss_D: -0.021706 Loss_G: 0.032331 Loss_D_real: -0.033483 Loss_D_fake -0.011777
[811/5000][465/535][83567] Loss_D: -0.022713 Loss_G: 0.002218 Loss_D_real: -0.014959 Loss_D_fake 0.007754
[811/5000][470/535][83568] Loss_D: -0.022982 Loss_G: 0.010562 Loss_D_real: -0.019397 Loss_D_fake 0.003585
[811/5000][475/535][83569] Loss_D: -0.023806 Loss_G: 0.011153 Loss_D_real: -0.016560 Loss_D_fake 0.007246
[811/5000][480/535][83570] Loss_D: -0.023696 Loss_G: 0.005209 Loss_D_real: -0.013718 Loss_D_fake 0.009977
[811/5000][485/535][83571] Loss_D: -0.022943 Loss_G: -0.001571 Loss_D_real: -0.013270 Loss_D_fake 0.009673
[811/5000][490/535][83572] Loss_D: -0.020970 Loss_G: -0.008991 Loss_D_real: 0.002705 Loss_D_fake 0.023675
[811/5000][495/535][83573] Loss_D: -0.023267 Loss_G: -0.007174 Loss_D_real: -0.011723 Loss_D_fake 0.011544
[811/5000][500/535][83574] Loss_D: -0.022241 Loss_G: 0.020458 Loss_D_real: -0.027658 Loss_D_fake -0.005417
[811/5000][505/535][83575] Loss_D: -0.022976 Loss_G: 0.015566 Loss_D_real: -0.025756 Loss_D_fake -0.002779
[811/5000][510/535][83576] Loss_D: -0.022322 Loss_G: 0.028756 Loss_D_real: -0.030375 Loss_D_fake -0.008053
[811/5000][515/535][83577] Loss_D: -0.023285 Loss_G: 0.015050 Loss_D_real: -0.021883 Loss_D_fake 0.001402
[811/5000][520/535][83578] Loss_D: -0.023053 Loss_G: 0.019899 Loss_D_real: -0.030509 Loss_D_fake -0.007456
[811/5000][525/535][83579] Loss_D: -0.023366 Loss_G: 0.019044 Loss_D_real: -0.022744 Loss_D_fake 0.000622
[811/5000][530/535][83580] Loss_D: -0.023808 Loss_G: -0.010512 Loss_D_real: -0.014237 Loss_D_fake 0.009571
[811/5000][535/535][83581] Loss_D: -0.025761 Loss_G: -0.001661 Loss_D_real: -0.036258 Loss_D_fake -0.010496
[812/5000][5/535][83582] Loss_D: -0.022300 Loss_G: -0.017330 Loss_D_real: -0.009375 Loss_D_fake 0.012926
[812/5000][10/535][83583] Loss_D: -0.022692 Loss_G: -0.001636 Loss_D_real: -0.012461 Loss_D_fake 0.010231
[812/5000][15/535][83584] Loss_D: -0.024315 Loss_G: 0.001938 Loss_D_real: -0.010966 Loss_D_fake 0.013349
[812/5000][20/535][83585] Loss_D: -0.022243 Loss_G: 0.013566 Loss_D_real: -0.013887 Loss_D_fake 0.008356
[812/5000][25/535][83586] Loss_D: -0.023425 Loss_G: 0.024378 Loss_D_real: -0.029952 Loss_D_fake -0.006528
[812/5000][30/535][83587] Loss_D: -0.025621 Loss_G: 0.005663 Loss_D_real: -0.027110 Loss_D_fake -0.001489
[812/5000][35/535][83588] Loss_D: -0.022463 Loss_G: 0.009805 Loss_D_real: -0.028143 Loss_D_fake -0.005679
[812/5000][40/535][83589] Loss_D: -0.023529 Loss_G: 0.013419 Loss_D_real: -0.026365 Loss_D_fake -0.002835
[812/5000][45/535][83590] Loss_D: -0.024145 Loss_G: -0.003335 Loss_D_real: -0.003678 Loss_D_fake 0.020467
[812/5000][50/535][83591] Loss_D: -0.023956 Loss_G: -0.002394 Loss_D_real: -0.018656 Loss_D_fake 0.005299
[812/5000][55/535][83592] Loss_D: -0.024741 Loss_G: 0.015757 Loss_D_real: -0.024899 Loss_D_fake -0.000158
[812/5000][60/535][83593] Loss_D: -0.022974 Loss_G: 0.009957 Loss_D_real: -0.023260 Loss_D_fake -0.000285
[812/5000][65/535][83594] Loss_D: -0.022594 Loss_G: 0.000969 Loss_D_real: -0.015000 Loss_D_fake 0.007594
[812/5000][70/535][83595] Loss_D: -0.023871 Loss_G: 0.014331 Loss_D_real: -0.016772 Loss_D_fake 0.007099
[812/5000][75/535][83596] Loss_D: -0.023168 Loss_G: 0.005160 Loss_D_real: -0.020931 Loss_D_fake 0.002236
[812/5000][80/535][83597] Loss_D: -0.019727 Loss_G: 0.028643 Loss_D_real: -0.039647 Loss_D_fake -0.019920
[812/5000][85/535][83598] Loss_D: -0.022182 Loss_G: 0.010652 Loss_D_real: -0.010959 Loss_D_fake 0.011223
[812/5000][90/535][83599] Loss_D: -0.024080 Loss_G: 0.000346 Loss_D_real: -0.013942 Loss_D_fake 0.010138
[812/5000][95/535][83600] Loss_D: -0.022312 Loss_G: 0.015614 Loss_D_real: -0.019131 Loss_D_fake 0.003180
[812/5000][100/535][83601] Loss_D: -0.022849 Loss_G: 0.017077 Loss_D_real: -0.022718 Loss_D_fake 0.000131
[812/5000][105/535][83602] Loss_D: -0.023300 Loss_G: 0.005360 Loss_D_real: -0.009868 Loss_D_fake 0.013432
[812/5000][110/535][83603] Loss_D: -0.023854 Loss_G: 0.017142 Loss_D_real: -0.030345 Loss_D_fake -0.006491
[812/5000][115/535][83604] Loss_D: -0.023779 Loss_G: 0.020881 Loss_D_real: -0.029260 Loss_D_fake -0.005481
[812/5000][120/535][83605] Loss_D: -0.023014 Loss_G: 0.002769 Loss_D_real: -0.018439 Loss_D_fake 0.004575
[812/5000][125/535][83606] Loss_D: -0.023344 Loss_G: -0.003118 Loss_D_real: -0.012632 Loss_D_fake 0.010712
[812/5000][130/535][83607] Loss_D: -0.024004 Loss_G: 0.000548 Loss_D_real: -0.019535 Loss_D_fake 0.004469
[812/5000][135/535][83608] Loss_D: -0.023531 Loss_G: 0.007350 Loss_D_real: -0.026805 Loss_D_fake -0.003274
[812/5000][140/535][83609] Loss_D: -0.022479 Loss_G: 0.006620 Loss_D_real: -0.026522 Loss_D_fake -0.004043
[812/5000][145/535][83610] Loss_D: -0.023279 Loss_G: 0.002969 Loss_D_real: -0.007312 Loss_D_fake 0.015967
[812/5000][150/535][83611] Loss_D: -0.022378 Loss_G: 0.006503 Loss_D_real: -0.022608 Loss_D_fake -0.000230
[812/5000][155/535][83612] Loss_D: -0.023553 Loss_G: 0.021206 Loss_D_real: -0.023166 Loss_D_fake 0.000388
[812/5000][160/535][83613] Loss_D: -0.022968 Loss_G: 0.003645 Loss_D_real: -0.009338 Loss_D_fake 0.013630
[812/5000][165/535][83614] Loss_D: -0.022713 Loss_G: 0.012771 Loss_D_real: -0.020088 Loss_D_fake 0.002625
[812/5000][170/535][83615] Loss_D: -0.023785 Loss_G: 0.022239 Loss_D_real: -0.021817 Loss_D_fake 0.001968
[812/5000][175/535][83616] Loss_D: -0.023593 Loss_G: 0.018146 Loss_D_real: -0.020060 Loss_D_fake 0.003533
[812/5000][180/535][83617] Loss_D: -0.022518 Loss_G: 0.020320 Loss_D_real: -0.026159 Loss_D_fake -0.003641
[812/5000][185/535][83618] Loss_D: -0.023441 Loss_G: 0.000719 Loss_D_real: -0.011455 Loss_D_fake 0.011986
[812/5000][190/535][83619] Loss_D: -0.023631 Loss_G: 0.012352 Loss_D_real: -0.025561 Loss_D_fake -0.001930
[812/5000][195/535][83620] Loss_D: -0.024177 Loss_G: 0.010128 Loss_D_real: -0.018545 Loss_D_fake 0.005632
[812/5000][200/535][83621] Loss_D: -0.023816 Loss_G: -0.003915 Loss_D_real: -0.008196 Loss_D_fake 0.015620
[812/5000][205/535][83622] Loss_D: -0.023628 Loss_G: 0.016572 Loss_D_real: -0.034558 Loss_D_fake -0.010930
[812/5000][210/535][83623] Loss_D: -0.022768 Loss_G: 0.014566 Loss_D_real: -0.028527 Loss_D_fake -0.005759
[812/5000][215/535][83624] Loss_D: -0.024230 Loss_G: 0.016810 Loss_D_real: -0.019888 Loss_D_fake 0.004342
[812/5000][220/535][83625] Loss_D: -0.022673 Loss_G: 0.009341 Loss_D_real: -0.019145 Loss_D_fake 0.003528
[812/5000][225/535][83626] Loss_D: -0.022400 Loss_G: -0.009407 Loss_D_real: -0.019818 Loss_D_fake 0.002582
[812/5000][230/535][83627] Loss_D: -0.022569 Loss_G: 0.024499 Loss_D_real: -0.020145 Loss_D_fake 0.002424
[812/5000][235/535][83628] Loss_D: -0.022450 Loss_G: 0.013637 Loss_D_real: -0.026591 Loss_D_fake -0.004140
[812/5000][240/535][83629] Loss_D: -0.023271 Loss_G: 0.016740 Loss_D_real: -0.026647 Loss_D_fake -0.003376
[812/5000][245/535][83630] Loss_D: -0.022730 Loss_G: 0.012199 Loss_D_real: -0.026344 Loss_D_fake -0.003614
[812/5000][250/535][83631] Loss_D: -0.024988 Loss_G: 0.012550 Loss_D_real: -0.016598 Loss_D_fake 0.008390
[812/5000][255/535][83632] Loss_D: -0.022970 Loss_G: 0.013360 Loss_D_real: -0.025867 Loss_D_fake -0.002897
[812/5000][260/535][83633] Loss_D: -0.021561 Loss_G: -0.024494 Loss_D_real: -0.004696 Loss_D_fake 0.016865
[812/5000][265/535][83634] Loss_D: -0.023377 Loss_G: 0.008904 Loss_D_real: -0.023967 Loss_D_fake -0.000591
[812/5000][270/535][83635] Loss_D: -0.023894 Loss_G: -0.009430 Loss_D_real: -0.006935 Loss_D_fake 0.016959
[812/5000][275/535][83636] Loss_D: -0.022913 Loss_G: 0.024940 Loss_D_real: -0.033419 Loss_D_fake -0.010507
[812/5000][280/535][83637] Loss_D: -0.025688 Loss_G: -0.011220 Loss_D_real: -0.005684 Loss_D_fake 0.020004
[812/5000][285/535][83638] Loss_D: -0.023155 Loss_G: 0.024709 Loss_D_real: -0.030321 Loss_D_fake -0.007166
[812/5000][290/535][83639] Loss_D: -0.023351 Loss_G: -0.004445 Loss_D_real: -0.014088 Loss_D_fake 0.009263
[812/5000][295/535][83640] Loss_D: -0.023780 Loss_G: 0.014149 Loss_D_real: -0.023675 Loss_D_fake 0.000105
[812/5000][300/535][83641] Loss_D: -0.025322 Loss_G: 0.010850 Loss_D_real: -0.020334 Loss_D_fake 0.004988
[812/5000][305/535][83642] Loss_D: -0.024514 Loss_G: 0.000678 Loss_D_real: -0.012510 Loss_D_fake 0.012004
[812/5000][310/535][83643] Loss_D: -0.022833 Loss_G: 0.014728 Loss_D_real: -0.031001 Loss_D_fake -0.008168
[812/5000][315/535][83644] Loss_D: -0.022323 Loss_G: 0.002023 Loss_D_real: -0.014629 Loss_D_fake 0.007694
[812/5000][320/535][83645] Loss_D: -0.023286 Loss_G: -0.002894 Loss_D_real: -0.019171 Loss_D_fake 0.004115
[812/5000][325/535][83646] Loss_D: -0.022704 Loss_G: 0.002771 Loss_D_real: -0.013567 Loss_D_fake 0.009137
[812/5000][330/535][83647] Loss_D: -0.023904 Loss_G: 0.021399 Loss_D_real: -0.037820 Loss_D_fake -0.013916
[812/5000][335/535][83648] Loss_D: -0.022194 Loss_G: -0.011618 Loss_D_real: -0.012303 Loss_D_fake 0.009891
[812/5000][340/535][83649] Loss_D: -0.024032 Loss_G: 0.013717 Loss_D_real: -0.013556 Loss_D_fake 0.010477
[812/5000][345/535][83650] Loss_D: -0.023753 Loss_G: -0.000262 Loss_D_real: -0.015740 Loss_D_fake 0.008013
[812/5000][350/535][83651] Loss_D: -0.022144 Loss_G: -0.005561 Loss_D_real: -0.005123 Loss_D_fake 0.017022
[812/5000][355/535][83652] Loss_D: -0.023406 Loss_G: 0.009959 Loss_D_real: -0.013039 Loss_D_fake 0.010367
[812/5000][360/535][83653] Loss_D: -0.023733 Loss_G: 0.023955 Loss_D_real: -0.028898 Loss_D_fake -0.005165
[812/5000][365/535][83654] Loss_D: -0.023991 Loss_G: 0.004630 Loss_D_real: -0.011130 Loss_D_fake 0.012861
[812/5000][370/535][83655] Loss_D: -0.022895 Loss_G: 0.021583 Loss_D_real: -0.026230 Loss_D_fake -0.003336
[812/5000][375/535][83656] Loss_D: -0.023273 Loss_G: -0.013060 Loss_D_real: 0.001033 Loss_D_fake 0.024306
[812/5000][380/535][83657] Loss_D: -0.023453 Loss_G: 0.004448 Loss_D_real: -0.010452 Loss_D_fake 0.013001
[812/5000][385/535][83658] Loss_D: -0.022961 Loss_G: 0.005391 Loss_D_real: -0.013282 Loss_D_fake 0.009679
[812/5000][390/535][83659] Loss_D: -0.023415 Loss_G: -0.003606 Loss_D_real: -0.008308 Loss_D_fake 0.015106
[812/5000][395/535][83660] Loss_D: -0.023424 Loss_G: 0.009603 Loss_D_real: -0.018608 Loss_D_fake 0.004815
[812/5000][400/535][83661] Loss_D: -0.022719 Loss_G: -0.012179 Loss_D_real: 0.000507 Loss_D_fake 0.023226
[812/5000][405/535][83662] Loss_D: -0.022887 Loss_G: 0.006286 Loss_D_real: -0.010334 Loss_D_fake 0.012553
[812/5000][410/535][83663] Loss_D: -0.022712 Loss_G: 0.006809 Loss_D_real: -0.020466 Loss_D_fake 0.002247
[812/5000][415/535][83664] Loss_D: -0.021963 Loss_G: 0.023608 Loss_D_real: -0.028402 Loss_D_fake -0.006440
[812/5000][420/535][83665] Loss_D: -0.023873 Loss_G: 0.020121 Loss_D_real: -0.030795 Loss_D_fake -0.006923
[812/5000][425/535][83666] Loss_D: -0.025041 Loss_G: 0.019221 Loss_D_real: -0.020644 Loss_D_fake 0.004397
[812/5000][430/535][83667] Loss_D: -0.023645 Loss_G: 0.011402 Loss_D_real: -0.027200 Loss_D_fake -0.003554
[812/5000][435/535][83668] Loss_D: -0.024891 Loss_G: 0.008974 Loss_D_real: -0.029550 Loss_D_fake -0.004659
[812/5000][440/535][83669] Loss_D: -0.024740 Loss_G: 0.001267 Loss_D_real: -0.013133 Loss_D_fake 0.011607
[812/5000][445/535][83670] Loss_D: -0.024356 Loss_G: 0.008651 Loss_D_real: -0.018592 Loss_D_fake 0.005765
[812/5000][450/535][83671] Loss_D: -0.025070 Loss_G: 0.015898 Loss_D_real: -0.028668 Loss_D_fake -0.003598
[812/5000][455/535][83672] Loss_D: -0.024267 Loss_G: 0.009987 Loss_D_real: -0.026186 Loss_D_fake -0.001919
[812/5000][460/535][83673] Loss_D: -0.023951 Loss_G: 0.022759 Loss_D_real: -0.025163 Loss_D_fake -0.001212
[812/5000][465/535][83674] Loss_D: -0.024077 Loss_G: 0.003821 Loss_D_real: -0.012333 Loss_D_fake 0.011744
[812/5000][470/535][83675] Loss_D: -0.023407 Loss_G: 0.015976 Loss_D_real: -0.013500 Loss_D_fake 0.009907
[812/5000][475/535][83676] Loss_D: -0.024531 Loss_G: 0.007423 Loss_D_real: -0.013547 Loss_D_fake 0.010984
[812/5000][480/535][83677] Loss_D: -0.023775 Loss_G: 0.012719 Loss_D_real: -0.027303 Loss_D_fake -0.003528
[812/5000][485/535][83678] Loss_D: -0.022223 Loss_G: 0.018517 Loss_D_real: -0.032747 Loss_D_fake -0.010525
[812/5000][490/535][83679] Loss_D: -0.022760 Loss_G: 0.015117 Loss_D_real: -0.014239 Loss_D_fake 0.008520
[812/5000][495/535][83680] Loss_D: -0.024002 Loss_G: 0.001584 Loss_D_real: -0.013829 Loss_D_fake 0.010173
[812/5000][500/535][83681] Loss_D: -0.023703 Loss_G: 0.007800 Loss_D_real: -0.017636 Loss_D_fake 0.006068
[812/5000][505/535][83682] Loss_D: -0.022923 Loss_G: 0.000012 Loss_D_real: -0.012477 Loss_D_fake 0.010447
[812/5000][510/535][83683] Loss_D: -0.021230 Loss_G: 0.029037 Loss_D_real: -0.034324 Loss_D_fake -0.013094
[812/5000][515/535][83684] Loss_D: -0.022776 Loss_G: -0.007295 Loss_D_real: -0.010273 Loss_D_fake 0.012503
[812/5000][520/535][83685] Loss_D: -0.021626 Loss_G: 0.016105 Loss_D_real: -0.034319 Loss_D_fake -0.012693
[812/5000][525/535][83686] Loss_D: -0.021929 Loss_G: -0.001873 Loss_D_real: -0.008954 Loss_D_fake 0.012975
[812/5000][530/535][83687] Loss_D: -0.021097 Loss_G: 0.023620 Loss_D_real: -0.025389 Loss_D_fake -0.004292
[812/5000][535/535][83688] Loss_D: -0.018696 Loss_G: 0.030646 Loss_D_real: -0.015520 Loss_D_fake 0.003175
[813/5000][5/535][83689] Loss_D: -0.022519 Loss_G: 0.020593 Loss_D_real: -0.034305 Loss_D_fake -0.011786
[813/5000][10/535][83690] Loss_D: -0.022465 Loss_G: -0.007548 Loss_D_real: -0.015886 Loss_D_fake 0.006579
[813/5000][15/535][83691] Loss_D: -0.023699 Loss_G: 0.014753 Loss_D_real: -0.028203 Loss_D_fake -0.004504
[813/5000][20/535][83692] Loss_D: -0.022066 Loss_G: 0.002487 Loss_D_real: -0.011186 Loss_D_fake 0.010880
[813/5000][25/535][83693] Loss_D: -0.023718 Loss_G: 0.014165 Loss_D_real: -0.009770 Loss_D_fake 0.013948
[813/5000][30/535][83694] Loss_D: -0.022816 Loss_G: 0.024386 Loss_D_real: -0.030156 Loss_D_fake -0.007341
[813/5000][35/535][83695] Loss_D: -0.023180 Loss_G: 0.030598 Loss_D_real: -0.031245 Loss_D_fake -0.008065
[813/5000][40/535][83696] Loss_D: -0.023477 Loss_G: 0.011830 Loss_D_real: -0.014927 Loss_D_fake 0.008550
[813/5000][45/535][83697] Loss_D: -0.023360 Loss_G: 0.002732 Loss_D_real: -0.010972 Loss_D_fake 0.012387
[813/5000][50/535][83698] Loss_D: -0.020462 Loss_G: 0.026025 Loss_D_real: -0.034707 Loss_D_fake -0.014245
[813/5000][55/535][83699] Loss_D: -0.023455 Loss_G: 0.018045 Loss_D_real: -0.025561 Loss_D_fake -0.002106
[813/5000][60/535][83700] Loss_D: -0.024058 Loss_G: -0.004669 Loss_D_real: -0.007124 Loss_D_fake 0.016935
[813/5000][65/535][83701] Loss_D: -0.023494 Loss_G: 0.011722 Loss_D_real: -0.023832 Loss_D_fake -0.000338
[813/5000][70/535][83702] Loss_D: -0.024428 Loss_G: -0.001759 Loss_D_real: -0.020000 Loss_D_fake 0.004428
[813/5000][75/535][83703] Loss_D: -0.022838 Loss_G: 0.017749 Loss_D_real: -0.036702 Loss_D_fake -0.013864
[813/5000][80/535][83704] Loss_D: -0.022931 Loss_G: -0.001536 Loss_D_real: -0.000397 Loss_D_fake 0.022534
[813/5000][85/535][83705] Loss_D: -0.023793 Loss_G: 0.013751 Loss_D_real: -0.023938 Loss_D_fake -0.000144
[813/5000][90/535][83706] Loss_D: -0.023222 Loss_G: 0.013344 Loss_D_real: -0.018976 Loss_D_fake 0.004247
[813/5000][95/535][83707] Loss_D: -0.024287 Loss_G: 0.006328 Loss_D_real: -0.009631 Loss_D_fake 0.014656
[813/5000][100/535][83708] Loss_D: -0.023989 Loss_G: 0.004610 Loss_D_real: -0.008030 Loss_D_fake 0.015959
[813/5000][105/535][83709] Loss_D: -0.022685 Loss_G: 0.030930 Loss_D_real: -0.036465 Loss_D_fake -0.013780
[813/5000][110/535][83710] Loss_D: -0.022427 Loss_G: -0.005223 Loss_D_real: -0.006091 Loss_D_fake 0.016336
[813/5000][115/535][83711] Loss_D: -0.023503 Loss_G: 0.016092 Loss_D_real: -0.019397 Loss_D_fake 0.004106
[813/5000][120/535][83712] Loss_D: -0.023122 Loss_G: -0.003094 Loss_D_real: -0.009809 Loss_D_fake 0.013312
[813/5000][125/535][83713] Loss_D: -0.023375 Loss_G: 0.016166 Loss_D_real: -0.021761 Loss_D_fake 0.001614
[813/5000][130/535][83714] Loss_D: -0.023530 Loss_G: 0.007744 Loss_D_real: -0.017799 Loss_D_fake 0.005731
[813/5000][135/535][83715] Loss_D: -0.023156 Loss_G: -0.003637 Loss_D_real: -0.010579 Loss_D_fake 0.012577
[813/5000][140/535][83716] Loss_D: -0.022162 Loss_G: 0.018675 Loss_D_real: -0.026741 Loss_D_fake -0.004580
[813/5000][145/535][83717] Loss_D: -0.022630 Loss_G: -0.000876 Loss_D_real: -0.007342 Loss_D_fake 0.015288
[813/5000][150/535][83718] Loss_D: -0.022095 Loss_G: 0.014388 Loss_D_real: -0.017511 Loss_D_fake 0.004584
[813/5000][155/535][83719] Loss_D: -0.023390 Loss_G: -0.015583 Loss_D_real: -0.008349 Loss_D_fake 0.015041
[813/5000][160/535][83720] Loss_D: -0.022970 Loss_G: 0.028384 Loss_D_real: -0.025505 Loss_D_fake -0.002536
[813/5000][165/535][83721] Loss_D: -0.022954 Loss_G: 0.016452 Loss_D_real: -0.016177 Loss_D_fake 0.006777
[813/5000][170/535][83722] Loss_D: -0.023635 Loss_G: 0.006876 Loss_D_real: -0.020785 Loss_D_fake 0.002850
[813/5000][175/535][83723] Loss_D: -0.024325 Loss_G: 0.012442 Loss_D_real: -0.022484 Loss_D_fake 0.001841
[813/5000][180/535][83724] Loss_D: -0.022353 Loss_G: 0.008083 Loss_D_real: -0.012979 Loss_D_fake 0.009374
[813/5000][185/535][83725] Loss_D: -0.022886 Loss_G: 0.023195 Loss_D_real: -0.026257 Loss_D_fake -0.003370
[813/5000][190/535][83726] Loss_D: -0.022713 Loss_G: 0.005986 Loss_D_real: -0.023552 Loss_D_fake -0.000839
[813/5000][195/535][83727] Loss_D: -0.024351 Loss_G: 0.009113 Loss_D_real: -0.014432 Loss_D_fake 0.009919
[813/5000][200/535][83728] Loss_D: -0.023590 Loss_G: 0.013696 Loss_D_real: -0.016184 Loss_D_fake 0.007406
[813/5000][205/535][83729] Loss_D: -0.024526 Loss_G: 0.002281 Loss_D_real: -0.005543 Loss_D_fake 0.018983
[813/5000][210/535][83730] Loss_D: -0.024017 Loss_G: 0.018259 Loss_D_real: -0.022560 Loss_D_fake 0.001457
[813/5000][215/535][83731] Loss_D: -0.023892 Loss_G: 0.001197 Loss_D_real: -0.010850 Loss_D_fake 0.013043
[813/5000][220/535][83732] Loss_D: -0.024877 Loss_G: 0.004228 Loss_D_real: -0.016432 Loss_D_fake 0.008445
[813/5000][225/535][83733] Loss_D: -0.023195 Loss_G: 0.016985 Loss_D_real: -0.020584 Loss_D_fake 0.002611
[813/5000][230/535][83734] Loss_D: -0.022932 Loss_G: 0.004805 Loss_D_real: -0.007159 Loss_D_fake 0.015773
[813/5000][235/535][83735] Loss_D: -0.023447 Loss_G: -0.006427 Loss_D_real: -0.007660 Loss_D_fake 0.015786
[813/5000][240/535][83736] Loss_D: -0.023569 Loss_G: 0.009019 Loss_D_real: -0.020935 Loss_D_fake 0.002634
[813/5000][245/535][83737] Loss_D: -0.023703 Loss_G: -0.006430 Loss_D_real: -0.020843 Loss_D_fake 0.002861
[813/5000][250/535][83738] Loss_D: -0.022498 Loss_G: 0.025823 Loss_D_real: -0.030399 Loss_D_fake -0.007902
[813/5000][255/535][83739] Loss_D: -0.022385 Loss_G: 0.023146 Loss_D_real: -0.034623 Loss_D_fake -0.012238
[813/5000][260/535][83740] Loss_D: -0.023643 Loss_G: 0.018008 Loss_D_real: -0.028820 Loss_D_fake -0.005177
[813/5000][265/535][83741] Loss_D: -0.022937 Loss_G: 0.010012 Loss_D_real: -0.011137 Loss_D_fake 0.011800
[813/5000][270/535][83742] Loss_D: -0.023022 Loss_G: 0.008304 Loss_D_real: -0.016004 Loss_D_fake 0.007018
[813/5000][275/535][83743] Loss_D: -0.022611 Loss_G: -0.007648 Loss_D_real: -0.006848 Loss_D_fake 0.015763
[813/5000][280/535][83744] Loss_D: -0.022694 Loss_G: -0.005530 Loss_D_real: -0.012614 Loss_D_fake 0.010081
[813/5000][285/535][83745] Loss_D: -0.022773 Loss_G: 0.013668 Loss_D_real: -0.008087 Loss_D_fake 0.014686
[813/5000][290/535][83746] Loss_D: -0.023059 Loss_G: -0.000661 Loss_D_real: -0.011069 Loss_D_fake 0.011991
[813/5000][295/535][83747] Loss_D: -0.023028 Loss_G: 0.000832 Loss_D_real: -0.014312 Loss_D_fake 0.008716
[813/5000][300/535][83748] Loss_D: -0.023226 Loss_G: 0.004048 Loss_D_real: -0.018834 Loss_D_fake 0.004391
[813/5000][305/535][83749] Loss_D: -0.022791 Loss_G: 0.017726 Loss_D_real: -0.028565 Loss_D_fake -0.005775
[813/5000][310/535][83750] Loss_D: -0.023040 Loss_G: 0.013935 Loss_D_real: -0.031967 Loss_D_fake -0.008927
[813/5000][315/535][83751] Loss_D: -0.023456 Loss_G: 0.022283 Loss_D_real: -0.038144 Loss_D_fake -0.014689
[813/5000][320/535][83752] Loss_D: -0.024194 Loss_G: 0.008993 Loss_D_real: -0.014353 Loss_D_fake 0.009842
[813/5000][325/535][83753] Loss_D: -0.022408 Loss_G: -0.001705 Loss_D_real: -0.005955 Loss_D_fake 0.016452
[813/5000][330/535][83754] Loss_D: -0.021674 Loss_G: -0.010455 Loss_D_real: 0.001595 Loss_D_fake 0.023270
[813/5000][335/535][83755] Loss_D: -0.022186 Loss_G: 0.009731 Loss_D_real: -0.013480 Loss_D_fake 0.008706
[813/5000][340/535][83756] Loss_D: -0.021990 Loss_G: 0.026024 Loss_D_real: -0.032905 Loss_D_fake -0.010915
[813/5000][345/535][83757] Loss_D: -0.024472 Loss_G: 0.015767 Loss_D_real: -0.022830 Loss_D_fake 0.001642
[813/5000][350/535][83758] Loss_D: -0.022645 Loss_G: 0.016797 Loss_D_real: -0.022396 Loss_D_fake 0.000249
[813/5000][355/535][83759] Loss_D: -0.022748 Loss_G: -0.001097 Loss_D_real: -0.007941 Loss_D_fake 0.014807
[813/5000][360/535][83760] Loss_D: -0.024190 Loss_G: 0.012774 Loss_D_real: -0.023747 Loss_D_fake 0.000443
[813/5000][365/535][83761] Loss_D: -0.021793 Loss_G: 0.024739 Loss_D_real: -0.032625 Loss_D_fake -0.010831
[813/5000][370/535][83762] Loss_D: -0.021653 Loss_G: 0.004021 Loss_D_real: -0.013244 Loss_D_fake 0.008409
[813/5000][375/535][83763] Loss_D: -0.024030 Loss_G: 0.016201 Loss_D_real: -0.024253 Loss_D_fake -0.000222
[813/5000][380/535][83764] Loss_D: -0.023862 Loss_G: -0.003491 Loss_D_real: -0.004702 Loss_D_fake 0.019161
[813/5000][385/535][83765] Loss_D: -0.022765 Loss_G: -0.002665 Loss_D_real: -0.009926 Loss_D_fake 0.012839
[813/5000][390/535][83766] Loss_D: -0.020760 Loss_G: 0.026456 Loss_D_real: -0.034244 Loss_D_fake -0.013484
[813/5000][395/535][83767] Loss_D: -0.022379 Loss_G: 0.013268 Loss_D_real: -0.020658 Loss_D_fake 0.001720
[813/5000][400/535][83768] Loss_D: -0.023467 Loss_G: 0.020576 Loss_D_real: -0.024693 Loss_D_fake -0.001226
[813/5000][405/535][83769] Loss_D: -0.023705 Loss_G: 0.019845 Loss_D_real: -0.026655 Loss_D_fake -0.002950
[813/5000][410/535][83770] Loss_D: -0.023996 Loss_G: -0.002758 Loss_D_real: 0.000763 Loss_D_fake 0.024759
[813/5000][415/535][83771] Loss_D: -0.022495 Loss_G: 0.005135 Loss_D_real: -0.012864 Loss_D_fake 0.009631
[813/5000][420/535][83772] Loss_D: -0.024930 Loss_G: 0.015792 Loss_D_real: -0.022008 Loss_D_fake 0.002922
[813/5000][425/535][83773] Loss_D: -0.024807 Loss_G: 0.000623 Loss_D_real: -0.013213 Loss_D_fake 0.011593
[813/5000][430/535][83774] Loss_D: -0.023480 Loss_G: 0.014359 Loss_D_real: -0.023568 Loss_D_fake -0.000089
[813/5000][435/535][83775] Loss_D: -0.022793 Loss_G: 0.008959 Loss_D_real: -0.026290 Loss_D_fake -0.003497
[813/5000][440/535][83776] Loss_D: -0.023963 Loss_G: 0.017485 Loss_D_real: -0.028126 Loss_D_fake -0.004162
[813/5000][445/535][83777] Loss_D: -0.024446 Loss_G: 0.002948 Loss_D_real: -0.005265 Loss_D_fake 0.019182
[813/5000][450/535][83778] Loss_D: -0.020350 Loss_G: 0.029203 Loss_D_real: -0.035877 Loss_D_fake -0.015527
[813/5000][455/535][83779] Loss_D: -0.025293 Loss_G: 0.015078 Loss_D_real: -0.025920 Loss_D_fake -0.000627
[813/5000][460/535][83780] Loss_D: -0.024293 Loss_G: 0.010181 Loss_D_real: -0.012999 Loss_D_fake 0.011294
[813/5000][465/535][83781] Loss_D: -0.021231 Loss_G: -0.000615 Loss_D_real: -0.014029 Loss_D_fake 0.007202
[813/5000][470/535][83782] Loss_D: -0.023478 Loss_G: -0.005095 Loss_D_real: 0.002137 Loss_D_fake 0.025615
[813/5000][475/535][83783] Loss_D: -0.022795 Loss_G: -0.007238 Loss_D_real: -0.013737 Loss_D_fake 0.009058
[813/5000][480/535][83784] Loss_D: -0.022378 Loss_G: 0.013103 Loss_D_real: -0.014459 Loss_D_fake 0.007919
[813/5000][485/535][83785] Loss_D: -0.023068 Loss_G: 0.005624 Loss_D_real: -0.018617 Loss_D_fake 0.004451
[813/5000][490/535][83786] Loss_D: -0.023590 Loss_G: 0.010679 Loss_D_real: -0.019936 Loss_D_fake 0.003653
[813/5000][495/535][83787] Loss_D: -0.024170 Loss_G: 0.018803 Loss_D_real: -0.026252 Loss_D_fake -0.002082
[813/5000][500/535][83788] Loss_D: -0.023866 Loss_G: 0.018644 Loss_D_real: -0.024914 Loss_D_fake -0.001048
[813/5000][505/535][83789] Loss_D: -0.022227 Loss_G: 0.013649 Loss_D_real: -0.033268 Loss_D_fake -0.011041
[813/5000][510/535][83790] Loss_D: -0.023968 Loss_G: 0.006183 Loss_D_real: -0.016508 Loss_D_fake 0.007460
[813/5000][515/535][83791] Loss_D: -0.024600 Loss_G: 0.018514 Loss_D_real: -0.022830 Loss_D_fake 0.001770
[813/5000][520/535][83792] Loss_D: -0.023459 Loss_G: -0.005376 Loss_D_real: -0.007317 Loss_D_fake 0.016142
[813/5000][525/535][83793] Loss_D: -0.022066 Loss_G: 0.013444 Loss_D_real: -0.024392 Loss_D_fake -0.002326
[813/5000][530/535][83794] Loss_D: -0.022370 Loss_G: -0.001383 Loss_D_real: -0.002709 Loss_D_fake 0.019662
[813/5000][535/535][83795] Loss_D: -0.025044 Loss_G: 0.000151 Loss_D_real: -0.030094 Loss_D_fake -0.005050
[814/5000][5/535][83796] Loss_D: -0.022475 Loss_G: 0.016300 Loss_D_real: -0.033898 Loss_D_fake -0.011422
[814/5000][10/535][83797] Loss_D: -0.023057 Loss_G: 0.011410 Loss_D_real: -0.026124 Loss_D_fake -0.003066
[814/5000][15/535][83798] Loss_D: -0.023534 Loss_G: 0.006249 Loss_D_real: -0.015493 Loss_D_fake 0.008041
[814/5000][20/535][83799] Loss_D: -0.022367 Loss_G: 0.028278 Loss_D_real: -0.022946 Loss_D_fake -0.000579
[814/5000][25/535][83800] Loss_D: -0.023515 Loss_G: -0.006624 Loss_D_real: -0.006449 Loss_D_fake 0.017066
[814/5000][30/535][83801] Loss_D: -0.022715 Loss_G: 0.000356 Loss_D_real: -0.004701 Loss_D_fake 0.018015
[814/5000][35/535][83802] Loss_D: -0.022984 Loss_G: 0.007366 Loss_D_real: -0.015639 Loss_D_fake 0.007345
[814/5000][40/535][83803] Loss_D: -0.023163 Loss_G: 0.010137 Loss_D_real: -0.023741 Loss_D_fake -0.000578
[814/5000][45/535][83804] Loss_D: -0.022127 Loss_G: 0.021495 Loss_D_real: -0.031762 Loss_D_fake -0.009634
[814/5000][50/535][83805] Loss_D: -0.024348 Loss_G: 0.000810 Loss_D_real: -0.018600 Loss_D_fake 0.005748
[814/5000][55/535][83806] Loss_D: -0.023998 Loss_G: 0.022821 Loss_D_real: -0.024534 Loss_D_fake -0.000536
[814/5000][60/535][83807] Loss_D: -0.023453 Loss_G: -0.003380 Loss_D_real: -0.012432 Loss_D_fake 0.011021
[814/5000][65/535][83808] Loss_D: -0.024555 Loss_G: -0.004955 Loss_D_real: 0.004097 Loss_D_fake 0.028652
[814/5000][70/535][83809] Loss_D: -0.021671 Loss_G: 0.014904 Loss_D_real: -0.027753 Loss_D_fake -0.006082
[814/5000][75/535][83810] Loss_D: -0.023543 Loss_G: 0.017103 Loss_D_real: -0.032816 Loss_D_fake -0.009273
[814/5000][80/535][83811] Loss_D: -0.022925 Loss_G: 0.023348 Loss_D_real: -0.024388 Loss_D_fake -0.001462
[814/5000][85/535][83812] Loss_D: -0.023596 Loss_G: 0.006366 Loss_D_real: -0.025731 Loss_D_fake -0.002135
[814/5000][90/535][83813] Loss_D: -0.022629 Loss_G: 0.021041 Loss_D_real: -0.027858 Loss_D_fake -0.005229
[814/5000][95/535][83814] Loss_D: -0.023489 Loss_G: -0.009306 Loss_D_real: -0.006168 Loss_D_fake 0.017321
[814/5000][100/535][83815] Loss_D: -0.022922 Loss_G: -0.009015 Loss_D_real: -0.017539 Loss_D_fake 0.005383
[814/5000][105/535][83816] Loss_D: -0.021641 Loss_G: 0.026762 Loss_D_real: -0.030531 Loss_D_fake -0.008890
[814/5000][110/535][83817] Loss_D: -0.022919 Loss_G: -0.005758 Loss_D_real: -0.008859 Loss_D_fake 0.014060
[814/5000][115/535][83818] Loss_D: -0.024012 Loss_G: 0.003433 Loss_D_real: -0.005860 Loss_D_fake 0.018153
[814/5000][120/535][83819] Loss_D: -0.023136 Loss_G: 0.005069 Loss_D_real: -0.016824 Loss_D_fake 0.006312
[814/5000][125/535][83820] Loss_D: -0.023666 Loss_G: -0.006465 Loss_D_real: -0.005720 Loss_D_fake 0.017946
[814/5000][130/535][83821] Loss_D: -0.021968 Loss_G: 0.003920 Loss_D_real: -0.027802 Loss_D_fake -0.005834
[814/5000][135/535][83822] Loss_D: -0.021049 Loss_G: -0.006395 Loss_D_real: -0.006336 Loss_D_fake 0.014713
[814/5000][140/535][83823] Loss_D: -0.022756 Loss_G: 0.008173 Loss_D_real: -0.013148 Loss_D_fake 0.009608
[814/5000][145/535][83824] Loss_D: -0.024393 Loss_G: 0.003967 Loss_D_real: -0.016523 Loss_D_fake 0.007870
[814/5000][150/535][83825] Loss_D: -0.021391 Loss_G: 0.007679 Loss_D_real: -0.012739 Loss_D_fake 0.008652
[814/5000][155/535][83826] Loss_D: -0.023412 Loss_G: -0.005513 Loss_D_real: -0.011999 Loss_D_fake 0.011412
[814/5000][160/535][83827] Loss_D: -0.022783 Loss_G: 0.003468 Loss_D_real: -0.018343 Loss_D_fake 0.004440
[814/5000][165/535][83828] Loss_D: -0.024073 Loss_G: 0.009349 Loss_D_real: -0.021142 Loss_D_fake 0.002930
[814/5000][170/535][83829] Loss_D: -0.023732 Loss_G: 0.002407 Loss_D_real: -0.017935 Loss_D_fake 0.005797
[814/5000][175/535][83830] Loss_D: -0.024326 Loss_G: 0.004448 Loss_D_real: -0.010968 Loss_D_fake 0.013358
[814/5000][180/535][83831] Loss_D: -0.023314 Loss_G: 0.014324 Loss_D_real: -0.016802 Loss_D_fake 0.006512
[814/5000][185/535][83832] Loss_D: -0.023124 Loss_G: -0.012233 Loss_D_real: -0.008082 Loss_D_fake 0.015043
[814/5000][190/535][83833] Loss_D: -0.022162 Loss_G: 0.017796 Loss_D_real: -0.021745 Loss_D_fake 0.000417
[814/5000][195/535][83834] Loss_D: -0.023225 Loss_G: 0.011651 Loss_D_real: -0.018013 Loss_D_fake 0.005212
[814/5000][200/535][83835] Loss_D: -0.024475 Loss_G: -0.000163 Loss_D_real: -0.017930 Loss_D_fake 0.006545
[814/5000][205/535][83836] Loss_D: -0.022994 Loss_G: 0.014018 Loss_D_real: -0.017170 Loss_D_fake 0.005824
[814/5000][210/535][83837] Loss_D: -0.023445 Loss_G: 0.023408 Loss_D_real: -0.022769 Loss_D_fake 0.000676
[814/5000][215/535][83838] Loss_D: -0.023761 Loss_G: 0.025228 Loss_D_real: -0.019070 Loss_D_fake 0.004691
[814/5000][220/535][83839] Loss_D: -0.025181 Loss_G: 0.020937 Loss_D_real: -0.031095 Loss_D_fake -0.005915
[814/5000][225/535][83840] Loss_D: -0.024485 Loss_G: -0.000221 Loss_D_real: -0.004110 Loss_D_fake 0.020375
[814/5000][230/535][83841] Loss_D: -0.024190 Loss_G: 0.010767 Loss_D_real: -0.009708 Loss_D_fake 0.014482
[814/5000][235/535][83842] Loss_D: -0.025277 Loss_G: 0.001321 Loss_D_real: -0.012665 Loss_D_fake 0.012612
[814/5000][240/535][83843] Loss_D: -0.024327 Loss_G: 0.012769 Loss_D_real: -0.024123 Loss_D_fake 0.000204
[814/5000][245/535][83844] Loss_D: -0.022145 Loss_G: 0.021217 Loss_D_real: -0.023947 Loss_D_fake -0.001803
[814/5000][250/535][83845] Loss_D: -0.024098 Loss_G: 0.006447 Loss_D_real: -0.021290 Loss_D_fake 0.002807
[814/5000][255/535][83846] Loss_D: -0.022349 Loss_G: 0.027906 Loss_D_real: -0.035134 Loss_D_fake -0.012785
[814/5000][260/535][83847] Loss_D: -0.023750 Loss_G: 0.003413 Loss_D_real: -0.008828 Loss_D_fake 0.014922
[814/5000][265/535][83848] Loss_D: -0.022556 Loss_G: 0.027430 Loss_D_real: -0.019055 Loss_D_fake 0.003501
[814/5000][270/535][83849] Loss_D: -0.025025 Loss_G: 0.016328 Loss_D_real: -0.032426 Loss_D_fake -0.007401
[814/5000][275/535][83850] Loss_D: -0.024463 Loss_G: 0.009508 Loss_D_real: -0.028234 Loss_D_fake -0.003772
[814/5000][280/535][83851] Loss_D: -0.024170 Loss_G: -0.004339 Loss_D_real: -0.004140 Loss_D_fake 0.020030
[814/5000][285/535][83852] Loss_D: -0.024456 Loss_G: 0.003606 Loss_D_real: -0.010850 Loss_D_fake 0.013606
[814/5000][290/535][83853] Loss_D: -0.024022 Loss_G: 0.020078 Loss_D_real: -0.020308 Loss_D_fake 0.003715
[814/5000][295/535][83854] Loss_D: -0.021763 Loss_G: 0.021627 Loss_D_real: -0.029243 Loss_D_fake -0.007481
[814/5000][300/535][83855] Loss_D: -0.021610 Loss_G: 0.029757 Loss_D_real: -0.040124 Loss_D_fake -0.018514
[814/5000][305/535][83856] Loss_D: -0.023343 Loss_G: 0.001068 Loss_D_real: -0.007650 Loss_D_fake 0.015693
[814/5000][310/535][83857] Loss_D: -0.024330 Loss_G: -0.017554 Loss_D_real: -0.007509 Loss_D_fake 0.016821
[814/5000][315/535][83858] Loss_D: -0.022190 Loss_G: 0.005932 Loss_D_real: -0.024290 Loss_D_fake -0.002100
[814/5000][320/535][83859] Loss_D: -0.022495 Loss_G: -0.006453 Loss_D_real: -0.010875 Loss_D_fake 0.011620
[814/5000][325/535][83860] Loss_D: -0.022840 Loss_G: 0.009039 Loss_D_real: -0.011707 Loss_D_fake 0.011132
[814/5000][330/535][83861] Loss_D: -0.023000 Loss_G: -0.004250 Loss_D_real: -0.000788 Loss_D_fake 0.022211
[814/5000][335/535][83862] Loss_D: -0.023770 Loss_G: -0.004241 Loss_D_real: -0.008199 Loss_D_fake 0.015572
[814/5000][340/535][83863] Loss_D: -0.021950 Loss_G: 0.015634 Loss_D_real: -0.032944 Loss_D_fake -0.010994
[814/5000][345/535][83864] Loss_D: -0.023066 Loss_G: 0.003398 Loss_D_real: -0.022572 Loss_D_fake 0.000494
[814/5000][350/535][83865] Loss_D: -0.021746 Loss_G: -0.017228 Loss_D_real: 0.001240 Loss_D_fake 0.022986
[814/5000][355/535][83866] Loss_D: -0.023705 Loss_G: 0.024648 Loss_D_real: -0.024587 Loss_D_fake -0.000882
[814/5000][360/535][83867] Loss_D: -0.023289 Loss_G: -0.003994 Loss_D_real: -0.015690 Loss_D_fake 0.007598
[814/5000][365/535][83868] Loss_D: -0.022458 Loss_G: 0.029154 Loss_D_real: -0.027358 Loss_D_fake -0.004900
[814/5000][370/535][83869] Loss_D: -0.023807 Loss_G: 0.017371 Loss_D_real: -0.027136 Loss_D_fake -0.003329
[814/5000][375/535][83870] Loss_D: -0.022693 Loss_G: 0.004524 Loss_D_real: -0.021876 Loss_D_fake 0.000817
[814/5000][380/535][83871] Loss_D: -0.023760 Loss_G: 0.007291 Loss_D_real: -0.007265 Loss_D_fake 0.016495
[814/5000][385/535][83872] Loss_D: -0.023785 Loss_G: 0.011117 Loss_D_real: -0.018738 Loss_D_fake 0.005048
[814/5000][390/535][83873] Loss_D: -0.023439 Loss_G: 0.010418 Loss_D_real: -0.024800 Loss_D_fake -0.001361
[814/5000][395/535][83874] Loss_D: -0.022870 Loss_G: 0.019286 Loss_D_real: -0.021664 Loss_D_fake 0.001206
[814/5000][400/535][83875] Loss_D: -0.024336 Loss_G: 0.015976 Loss_D_real: -0.030740 Loss_D_fake -0.006404
[814/5000][405/535][83876] Loss_D: -0.023556 Loss_G: 0.007025 Loss_D_real: -0.011344 Loss_D_fake 0.012212
[814/5000][410/535][83877] Loss_D: -0.023145 Loss_G: 0.013828 Loss_D_real: -0.018157 Loss_D_fake 0.004988
[814/5000][415/535][83878] Loss_D: -0.022897 Loss_G: -0.001027 Loss_D_real: -0.007996 Loss_D_fake 0.014902
[814/5000][420/535][83879] Loss_D: -0.022733 Loss_G: -0.013221 Loss_D_real: -0.009474 Loss_D_fake 0.013259
[814/5000][425/535][83880] Loss_D: -0.022165 Loss_G: -0.007367 Loss_D_real: -0.006235 Loss_D_fake 0.015930
[814/5000][430/535][83881] Loss_D: -0.022882 Loss_G: 0.019533 Loss_D_real: -0.022256 Loss_D_fake 0.000627
[814/5000][435/535][83882] Loss_D: -0.024127 Loss_G: 0.008030 Loss_D_real: -0.021466 Loss_D_fake 0.002660
[814/5000][440/535][83883] Loss_D: -0.025184 Loss_G: 0.024808 Loss_D_real: -0.029181 Loss_D_fake -0.003997
[814/5000][445/535][83884] Loss_D: -0.024074 Loss_G: 0.011637 Loss_D_real: -0.021298 Loss_D_fake 0.002775
[814/5000][450/535][83885] Loss_D: -0.023123 Loss_G: 0.023240 Loss_D_real: -0.024941 Loss_D_fake -0.001818
[814/5000][455/535][83886] Loss_D: -0.024633 Loss_G: 0.016236 Loss_D_real: -0.019213 Loss_D_fake 0.005419
[814/5000][460/535][83887] Loss_D: -0.025571 Loss_G: -0.002717 Loss_D_real: -0.002987 Loss_D_fake 0.022584
[814/5000][465/535][83888] Loss_D: -0.023162 Loss_G: 0.021996 Loss_D_real: -0.033706 Loss_D_fake -0.010544
[814/5000][470/535][83889] Loss_D: -0.024368 Loss_G: 0.000169 Loss_D_real: -0.009884 Loss_D_fake 0.014484
[814/5000][475/535][83890] Loss_D: -0.023598 Loss_G: 0.014635 Loss_D_real: -0.020481 Loss_D_fake 0.003116
[814/5000][480/535][83891] Loss_D: -0.023543 Loss_G: 0.008000 Loss_D_real: -0.020048 Loss_D_fake 0.003495
[814/5000][485/535][83892] Loss_D: -0.022929 Loss_G: 0.011806 Loss_D_real: -0.025254 Loss_D_fake -0.002325
[814/5000][490/535][83893] Loss_D: -0.022231 Loss_G: -0.007047 Loss_D_real: -0.001741 Loss_D_fake 0.020490
[814/5000][495/535][83894] Loss_D: -0.022820 Loss_G: 0.019047 Loss_D_real: -0.020680 Loss_D_fake 0.002140
[814/5000][500/535][83895] Loss_D: -0.023957 Loss_G: 0.008297 Loss_D_real: -0.019037 Loss_D_fake 0.004920
[814/5000][505/535][83896] Loss_D: -0.023522 Loss_G: 0.012272 Loss_D_real: -0.020175 Loss_D_fake 0.003347
[814/5000][510/535][83897] Loss_D: -0.022215 Loss_G: 0.017196 Loss_D_real: -0.030002 Loss_D_fake -0.007787
[814/5000][515/535][83898] Loss_D: -0.023000 Loss_G: 0.001090 Loss_D_real: -0.008866 Loss_D_fake 0.014134
[814/5000][520/535][83899] Loss_D: -0.022312 Loss_G: 0.017592 Loss_D_real: -0.029095 Loss_D_fake -0.006784
[814/5000][525/535][83900] Loss_D: -0.023784 Loss_G: 0.027224 Loss_D_real: -0.032477 Loss_D_fake -0.008693
[814/5000][530/535][83901] Loss_D: -0.022868 Loss_G: 0.011041 Loss_D_real: -0.025510 Loss_D_fake -0.002642
[814/5000][535/535][83902] Loss_D: -0.023469 Loss_G: 0.028556 Loss_D_real: -0.019831 Loss_D_fake 0.003638
[815/5000][5/535][83903] Loss_D: -0.021906 Loss_G: 0.024849 Loss_D_real: -0.030722 Loss_D_fake -0.008816
[815/5000][10/535][83904] Loss_D: -0.023011 Loss_G: 0.012849 Loss_D_real: -0.017599 Loss_D_fake 0.005412
[815/5000][15/535][83905] Loss_D: -0.024792 Loss_G: 0.001453 Loss_D_real: -0.006346 Loss_D_fake 0.018446
[815/5000][20/535][83906] Loss_D: -0.023554 Loss_G: 0.012089 Loss_D_real: -0.024109 Loss_D_fake -0.000555
[815/5000][25/535][83907] Loss_D: -0.025241 Loss_G: 0.007530 Loss_D_real: -0.018581 Loss_D_fake 0.006660
[815/5000][30/535][83908] Loss_D: -0.022892 Loss_G: 0.019859 Loss_D_real: -0.033222 Loss_D_fake -0.010330
[815/5000][35/535][83909] Loss_D: -0.024642 Loss_G: 0.018543 Loss_D_real: -0.021146 Loss_D_fake 0.003496
[815/5000][40/535][83910] Loss_D: -0.024332 Loss_G: 0.014167 Loss_D_real: -0.018485 Loss_D_fake 0.005848
[815/5000][45/535][83911] Loss_D: -0.024310 Loss_G: 0.021316 Loss_D_real: -0.023177 Loss_D_fake 0.001133
[815/5000][50/535][83912] Loss_D: -0.023428 Loss_G: -0.002638 Loss_D_real: -0.008871 Loss_D_fake 0.014557
[815/5000][55/535][83913] Loss_D: -0.023489 Loss_G: 0.000167 Loss_D_real: -0.011088 Loss_D_fake 0.012400
[815/5000][60/535][83914] Loss_D: -0.024371 Loss_G: 0.008464 Loss_D_real: -0.017170 Loss_D_fake 0.007201
[815/5000][65/535][83915] Loss_D: -0.024242 Loss_G: 0.004204 Loss_D_real: -0.010631 Loss_D_fake 0.013611
[815/5000][70/535][83916] Loss_D: -0.024083 Loss_G: 0.020421 Loss_D_real: -0.029765 Loss_D_fake -0.005682
[815/5000][75/535][83917] Loss_D: -0.024904 Loss_G: -0.009433 Loss_D_real: -0.003734 Loss_D_fake 0.021170
[815/5000][80/535][83918] Loss_D: -0.023785 Loss_G: 0.009556 Loss_D_real: -0.027713 Loss_D_fake -0.003928
[815/5000][85/535][83919] Loss_D: -0.023409 Loss_G: 0.002286 Loss_D_real: -0.016083 Loss_D_fake 0.007326
[815/5000][90/535][83920] Loss_D: -0.022135 Loss_G: -0.006437 Loss_D_real: -0.004436 Loss_D_fake 0.017699
[815/5000][95/535][83921] Loss_D: -0.023078 Loss_G: 0.012154 Loss_D_real: -0.021338 Loss_D_fake 0.001740
[815/5000][100/535][83922] Loss_D: -0.023042 Loss_G: -0.001790 Loss_D_real: -0.014674 Loss_D_fake 0.008369
[815/5000][105/535][83923] Loss_D: -0.022308 Loss_G: 0.020923 Loss_D_real: -0.037508 Loss_D_fake -0.015200
[815/5000][110/535][83924] Loss_D: -0.023374 Loss_G: -0.016172 Loss_D_real: -0.004798 Loss_D_fake 0.018577
[815/5000][115/535][83925] Loss_D: -0.022178 Loss_G: -0.002352 Loss_D_real: -0.005357 Loss_D_fake 0.016821
[815/5000][120/535][83926] Loss_D: -0.022420 Loss_G: 0.000048 Loss_D_real: -0.017136 Loss_D_fake 0.005284
[815/5000][125/535][83927] Loss_D: -0.023425 Loss_G: -0.002974 Loss_D_real: -0.008614 Loss_D_fake 0.014812
[815/5000][130/535][83928] Loss_D: -0.023132 Loss_G: -0.002490 Loss_D_real: -0.008128 Loss_D_fake 0.015003
[815/5000][135/535][83929] Loss_D: -0.023577 Loss_G: -0.003339 Loss_D_real: -0.013328 Loss_D_fake 0.010249
[815/5000][140/535][83930] Loss_D: -0.022958 Loss_G: 0.018708 Loss_D_real: -0.017097 Loss_D_fake 0.005861
[815/5000][145/535][83931] Loss_D: -0.023208 Loss_G: 0.022752 Loss_D_real: -0.032950 Loss_D_fake -0.009743
[815/5000][150/535][83932] Loss_D: -0.023287 Loss_G: 0.012741 Loss_D_real: -0.016241 Loss_D_fake 0.007046
[815/5000][155/535][83933] Loss_D: -0.023285 Loss_G: 0.001469 Loss_D_real: -0.013691 Loss_D_fake 0.009594
[815/5000][160/535][83934] Loss_D: -0.023151 Loss_G: 0.003372 Loss_D_real: -0.014926 Loss_D_fake 0.008225
[815/5000][165/535][83935] Loss_D: -0.022612 Loss_G: 0.020501 Loss_D_real: -0.018104 Loss_D_fake 0.004508
[815/5000][170/535][83936] Loss_D: -0.022471 Loss_G: -0.012083 Loss_D_real: -0.015014 Loss_D_fake 0.007457
[815/5000][175/535][83937] Loss_D: -0.022687 Loss_G: 0.017370 Loss_D_real: -0.025746 Loss_D_fake -0.003058
[815/5000][180/535][83938] Loss_D: -0.022128 Loss_G: 0.032489 Loss_D_real: -0.029841 Loss_D_fake -0.007713
[815/5000][185/535][83939] Loss_D: -0.023442 Loss_G: 0.003191 Loss_D_real: -0.008256 Loss_D_fake 0.015185
[815/5000][190/535][83940] Loss_D: -0.022957 Loss_G: 0.009430 Loss_D_real: -0.023517 Loss_D_fake -0.000560
[815/5000][195/535][83941] Loss_D: -0.023261 Loss_G: 0.021081 Loss_D_real: -0.019916 Loss_D_fake 0.003345
[815/5000][200/535][83942] Loss_D: -0.022562 Loss_G: 0.004975 Loss_D_real: -0.009050 Loss_D_fake 0.013512
[815/5000][205/535][83943] Loss_D: -0.023486 Loss_G: -0.002686 Loss_D_real: -0.020843 Loss_D_fake 0.002643
[815/5000][210/535][83944] Loss_D: -0.024454 Loss_G: 0.008976 Loss_D_real: -0.008007 Loss_D_fake 0.016447
[815/5000][215/535][83945] Loss_D: -0.022744 Loss_G: 0.012365 Loss_D_real: -0.010824 Loss_D_fake 0.011920
[815/5000][220/535][83946] Loss_D: -0.022414 Loss_G: 0.011380 Loss_D_real: -0.016107 Loss_D_fake 0.006308
[815/5000][225/535][83947] Loss_D: -0.023664 Loss_G: 0.017560 Loss_D_real: -0.020515 Loss_D_fake 0.003150
[815/5000][230/535][83948] Loss_D: -0.022504 Loss_G: 0.020690 Loss_D_real: -0.021853 Loss_D_fake 0.000651
[815/5000][235/535][83949] Loss_D: -0.024229 Loss_G: -0.006350 Loss_D_real: -0.013603 Loss_D_fake 0.010627
[815/5000][240/535][83950] Loss_D: -0.024850 Loss_G: 0.006221 Loss_D_real: -0.008274 Loss_D_fake 0.016577
[815/5000][245/535][83951] Loss_D: -0.022269 Loss_G: -0.005192 Loss_D_real: -0.001335 Loss_D_fake 0.020935
[815/5000][250/535][83952] Loss_D: -0.022826 Loss_G: 0.012649 Loss_D_real: -0.030058 Loss_D_fake -0.007232
[815/5000][255/535][83953] Loss_D: -0.023115 Loss_G: 0.027508 Loss_D_real: -0.028601 Loss_D_fake -0.005486
[815/5000][260/535][83954] Loss_D: -0.023129 Loss_G: 0.014066 Loss_D_real: -0.025577 Loss_D_fake -0.002448
[815/5000][265/535][83955] Loss_D: -0.021640 Loss_G: 0.018348 Loss_D_real: -0.036733 Loss_D_fake -0.015093
[815/5000][270/535][83956] Loss_D: -0.023291 Loss_G: 0.004335 Loss_D_real: -0.003751 Loss_D_fake 0.019540
[815/5000][275/535][83957] Loss_D: -0.021979 Loss_G: 0.014313 Loss_D_real: -0.027648 Loss_D_fake -0.005669
[815/5000][280/535][83958] Loss_D: -0.023717 Loss_G: -0.002200 Loss_D_real: -0.010392 Loss_D_fake 0.013324
[815/5000][285/535][83959] Loss_D: -0.023529 Loss_G: 0.017183 Loss_D_real: -0.020947 Loss_D_fake 0.002582
[815/5000][290/535][83960] Loss_D: -0.022929 Loss_G: 0.005402 Loss_D_real: -0.012023 Loss_D_fake 0.010906
[815/5000][295/535][83961] Loss_D: -0.023400 Loss_G: 0.000169 Loss_D_real: -0.013091 Loss_D_fake 0.010309
[815/5000][300/535][83962] Loss_D: -0.023115 Loss_G: 0.004375 Loss_D_real: -0.009519 Loss_D_fake 0.013595
[815/5000][305/535][83963] Loss_D: -0.023992 Loss_G: -0.005908 Loss_D_real: -0.009558 Loss_D_fake 0.014434
[815/5000][310/535][83964] Loss_D: -0.023175 Loss_G: 0.020520 Loss_D_real: -0.022758 Loss_D_fake 0.000417
[815/5000][315/535][83965] Loss_D: -0.023389 Loss_G: 0.017439 Loss_D_real: -0.029928 Loss_D_fake -0.006539
[815/5000][320/535][83966] Loss_D: -0.023413 Loss_G: -0.003989 Loss_D_real: -0.005438 Loss_D_fake 0.017975
[815/5000][325/535][83967] Loss_D: -0.021664 Loss_G: 0.022768 Loss_D_real: -0.027469 Loss_D_fake -0.005805
[815/5000][330/535][83968] Loss_D: -0.022764 Loss_G: 0.009402 Loss_D_real: -0.021874 Loss_D_fake 0.000890
[815/5000][335/535][83969] Loss_D: -0.021458 Loss_G: 0.028973 Loss_D_real: -0.028814 Loss_D_fake -0.007357
[815/5000][340/535][83970] Loss_D: -0.023470 Loss_G: -0.000126 Loss_D_real: -0.009630 Loss_D_fake 0.013839
[815/5000][345/535][83971] Loss_D: -0.023216 Loss_G: 0.003266 Loss_D_real: -0.020674 Loss_D_fake 0.002541
[815/5000][350/535][83972] Loss_D: -0.024260 Loss_G: -0.004569 Loss_D_real: -0.009549 Loss_D_fake 0.014711
[815/5000][355/535][83973] Loss_D: -0.023033 Loss_G: 0.012625 Loss_D_real: -0.030460 Loss_D_fake -0.007427
[815/5000][360/535][83974] Loss_D: -0.023331 Loss_G: 0.017909 Loss_D_real: -0.022580 Loss_D_fake 0.000751
[815/5000][365/535][83975] Loss_D: -0.023571 Loss_G: 0.009291 Loss_D_real: -0.018709 Loss_D_fake 0.004861
[815/5000][370/535][83976] Loss_D: -0.023447 Loss_G: 0.007756 Loss_D_real: -0.018659 Loss_D_fake 0.004789
[815/5000][375/535][83977] Loss_D: -0.023014 Loss_G: 0.012731 Loss_D_real: -0.020833 Loss_D_fake 0.002182
[815/5000][380/535][83978] Loss_D: -0.023804 Loss_G: 0.008857 Loss_D_real: -0.027482 Loss_D_fake -0.003678
[815/5000][385/535][83979] Loss_D: -0.020436 Loss_G: 0.026353 Loss_D_real: -0.039276 Loss_D_fake -0.018840
[815/5000][390/535][83980] Loss_D: -0.022740 Loss_G: -0.004914 Loss_D_real: -0.012478 Loss_D_fake 0.010262
[815/5000][395/535][83981] Loss_D: -0.022121 Loss_G: 0.012575 Loss_D_real: -0.030110 Loss_D_fake -0.007989
[815/5000][400/535][83982] Loss_D: -0.022335 Loss_G: 0.019404 Loss_D_real: -0.023268 Loss_D_fake -0.000933
[815/5000][405/535][83983] Loss_D: -0.022641 Loss_G: -0.001860 Loss_D_real: -0.005125 Loss_D_fake 0.017516
[815/5000][410/535][83984] Loss_D: -0.024112 Loss_G: -0.002741 Loss_D_real: -0.018007 Loss_D_fake 0.006105
[815/5000][415/535][83985] Loss_D: -0.022978 Loss_G: -0.003983 Loss_D_real: -0.004180 Loss_D_fake 0.018798
[815/5000][420/535][83986] Loss_D: -0.022772 Loss_G: 0.011169 Loss_D_real: -0.023030 Loss_D_fake -0.000258
[815/5000][425/535][83987] Loss_D: -0.022225 Loss_G: 0.018398 Loss_D_real: -0.024338 Loss_D_fake -0.002113
[815/5000][430/535][83988] Loss_D: -0.023751 Loss_G: 0.013073 Loss_D_real: -0.023330 Loss_D_fake 0.000421
[815/5000][435/535][83989] Loss_D: -0.024676 Loss_G: 0.017902 Loss_D_real: -0.021529 Loss_D_fake 0.003147
[815/5000][440/535][83990] Loss_D: -0.025068 Loss_G: 0.010266 Loss_D_real: -0.022015 Loss_D_fake 0.003053
[815/5000][445/535][83991] Loss_D: -0.023929 Loss_G: 0.008927 Loss_D_real: -0.007047 Loss_D_fake 0.016882
[815/5000][450/535][83992] Loss_D: -0.023322 Loss_G: -0.007272 Loss_D_real: 0.002807 Loss_D_fake 0.026128
[815/5000][455/535][83993] Loss_D: -0.024519 Loss_G: 0.012177 Loss_D_real: -0.024452 Loss_D_fake 0.000067
[815/5000][460/535][83994] Loss_D: -0.024211 Loss_G: 0.004540 Loss_D_real: -0.022977 Loss_D_fake 0.001234
[815/5000][465/535][83995] Loss_D: -0.023882 Loss_G: 0.004166 Loss_D_real: -0.014486 Loss_D_fake 0.009397
[815/5000][470/535][83996] Loss_D: -0.024773 Loss_G: 0.011177 Loss_D_real: -0.025667 Loss_D_fake -0.000894
[815/5000][475/535][83997] Loss_D: -0.023509 Loss_G: -0.011539 Loss_D_real: -0.005295 Loss_D_fake 0.018214
[815/5000][480/535][83998] Loss_D: -0.024445 Loss_G: 0.013903 Loss_D_real: -0.019678 Loss_D_fake 0.004766
[815/5000][485/535][83999] Loss_D: -0.024698 Loss_G: 0.021304 Loss_D_real: -0.026783 Loss_D_fake -0.002085
[815/5000][490/535][84000] Loss_D: -0.023522 Loss_G: 0.004243 Loss_D_real: -0.009532 Loss_D_fake 0.013990
[815/5000][535/535][84001] Loss_D: -0.029358 Loss_G: 0.021245 Loss_D_real: -0.012713 Loss_D_fake 0.016645
[816/5000][5/535][84002] Loss_D: -0.023925 Loss_G: -0.001359 Loss_D_real: -0.016929 Loss_D_fake 0.006996
[816/5000][10/535][84003] Loss_D: -0.021867 Loss_G: 0.016822 Loss_D_real: -0.028888 Loss_D_fake -0.007021
[816/5000][15/535][84004] Loss_D: -0.023222 Loss_G: 0.022404 Loss_D_real: -0.017999 Loss_D_fake 0.005223
[816/5000][20/535][84005] Loss_D: -0.022561 Loss_G: 0.018734 Loss_D_real: -0.023034 Loss_D_fake -0.000473
[816/5000][25/535][84006] Loss_D: -0.024205 Loss_G: 0.007496 Loss_D_real: -0.017288 Loss_D_fake 0.006916
[816/5000][30/535][84007] Loss_D: -0.021898 Loss_G: 0.011460 Loss_D_real: -0.032176 Loss_D_fake -0.010278
[816/5000][35/535][84008] Loss_D: -0.025170 Loss_G: 0.006597 Loss_D_real: -0.022255 Loss_D_fake 0.002915
[816/5000][40/535][84009] Loss_D: -0.023256 Loss_G: -0.005908 Loss_D_real: -0.005144 Loss_D_fake 0.018113
[816/5000][45/535][84010] Loss_D: -0.023089 Loss_G: 0.003339 Loss_D_real: -0.024411 Loss_D_fake -0.001322
[816/5000][50/535][84011] Loss_D: -0.023206 Loss_G: 0.009124 Loss_D_real: -0.013839 Loss_D_fake 0.009368
[816/5000][55/535][84012] Loss_D: -0.023109 Loss_G: 0.010186 Loss_D_real: -0.022308 Loss_D_fake 0.000801
[816/5000][60/535][84013] Loss_D: -0.023044 Loss_G: 0.011788 Loss_D_real: -0.023188 Loss_D_fake -0.000145
[816/5000][65/535][84014] Loss_D: -0.023718 Loss_G: -0.001111 Loss_D_real: -0.014878 Loss_D_fake 0.008841
[816/5000][70/535][84015] Loss_D: -0.022228 Loss_G: 0.029476 Loss_D_real: -0.022594 Loss_D_fake -0.000366
[816/5000][75/535][84016] Loss_D: -0.022204 Loss_G: -0.010100 Loss_D_real: -0.014146 Loss_D_fake 0.008058
[816/5000][80/535][84017] Loss_D: -0.023303 Loss_G: 0.013186 Loss_D_real: -0.022646 Loss_D_fake 0.000657
[816/5000][85/535][84018] Loss_D: -0.023885 Loss_G: 0.010888 Loss_D_real: -0.017750 Loss_D_fake 0.006135
[816/5000][90/535][84019] Loss_D: -0.023732 Loss_G: 0.018484 Loss_D_real: -0.028759 Loss_D_fake -0.005027
[816/5000][95/535][84020] Loss_D: -0.021997 Loss_G: 0.017860 Loss_D_real: -0.028897 Loss_D_fake -0.006900
[816/5000][100/535][84021] Loss_D: -0.024007 Loss_G: 0.020288 Loss_D_real: -0.020334 Loss_D_fake 0.003673
[816/5000][105/535][84022] Loss_D: -0.024934 Loss_G: 0.015302 Loss_D_real: -0.031667 Loss_D_fake -0.006733
[816/5000][110/535][84023] Loss_D: -0.024514 Loss_G: 0.010985 Loss_D_real: -0.017564 Loss_D_fake 0.006950
[816/5000][115/535][84024] Loss_D: -0.024086 Loss_G: 0.014213 Loss_D_real: -0.022674 Loss_D_fake 0.001412
[816/5000][120/535][84025] Loss_D: -0.024462 Loss_G: 0.015652 Loss_D_real: -0.028197 Loss_D_fake -0.003734
[816/5000][125/535][84026] Loss_D: -0.025110 Loss_G: 0.007728 Loss_D_real: -0.012688 Loss_D_fake 0.012422
[816/5000][130/535][84027] Loss_D: -0.022498 Loss_G: 0.029259 Loss_D_real: -0.032145 Loss_D_fake -0.009647
[816/5000][135/535][84028] Loss_D: -0.023293 Loss_G: 0.001149 Loss_D_real: -0.014063 Loss_D_fake 0.009230
[816/5000][140/535][84029] Loss_D: -0.023267 Loss_G: 0.004003 Loss_D_real: -0.019862 Loss_D_fake 0.003405
[816/5000][145/535][84030] Loss_D: -0.021626 Loss_G: 0.002908 Loss_D_real: -0.014911 Loss_D_fake 0.006715
[816/5000][150/535][84031] Loss_D: -0.024207 Loss_G: 0.013257 Loss_D_real: -0.015315 Loss_D_fake 0.008892
[816/5000][155/535][84032] Loss_D: -0.022555 Loss_G: 0.008738 Loss_D_real: -0.030551 Loss_D_fake -0.007995
[816/5000][160/535][84033] Loss_D: -0.024449 Loss_G: -0.008082 Loss_D_real: -0.016483 Loss_D_fake 0.007967
[816/5000][165/535][84034] Loss_D: -0.021987 Loss_G: 0.019284 Loss_D_real: -0.032912 Loss_D_fake -0.010925
[816/5000][170/535][84035] Loss_D: -0.023398 Loss_G: 0.002141 Loss_D_real: -0.018836 Loss_D_fake 0.004562
[816/5000][175/535][84036] Loss_D: -0.023115 Loss_G: 0.006149 Loss_D_real: -0.019980 Loss_D_fake 0.003135
[816/5000][180/535][84037] Loss_D: -0.023494 Loss_G: 0.008700 Loss_D_real: -0.019335 Loss_D_fake 0.004160
[816/5000][185/535][84038] Loss_D: -0.022856 Loss_G: 0.002353 Loss_D_real: -0.016970 Loss_D_fake 0.005886
[816/5000][190/535][84039] Loss_D: -0.021858 Loss_G: -0.009320 Loss_D_real: 0.003522 Loss_D_fake 0.025379
[816/5000][195/535][84040] Loss_D: -0.023577 Loss_G: 0.021540 Loss_D_real: -0.024850 Loss_D_fake -0.001273
[816/5000][200/535][84041] Loss_D: -0.023692 Loss_G: 0.020282 Loss_D_real: -0.017100 Loss_D_fake 0.006593
[816/5000][205/535][84042] Loss_D: -0.023758 Loss_G: -0.001176 Loss_D_real: -0.002226 Loss_D_fake 0.021532
[816/5000][210/535][84043] Loss_D: -0.021583 Loss_G: 0.033273 Loss_D_real: -0.034215 Loss_D_fake -0.012633
[816/5000][215/535][84044] Loss_D: -0.021716 Loss_G: 0.005770 Loss_D_real: -0.013098 Loss_D_fake 0.008618
[816/5000][220/535][84045] Loss_D: -0.023931 Loss_G: 0.010884 Loss_D_real: -0.025307 Loss_D_fake -0.001376
[816/5000][225/535][84046] Loss_D: -0.023449 Loss_G: 0.002899 Loss_D_real: -0.017712 Loss_D_fake 0.005737
[816/5000][230/535][84047] Loss_D: -0.022492 Loss_G: 0.017865 Loss_D_real: -0.032075 Loss_D_fake -0.009583
[816/5000][235/535][84048] Loss_D: -0.023819 Loss_G: 0.006620 Loss_D_real: -0.014899 Loss_D_fake 0.008919
[816/5000][240/535][84049] Loss_D: -0.022884 Loss_G: 0.004509 Loss_D_real: -0.014073 Loss_D_fake 0.008811
[816/5000][245/535][84050] Loss_D: -0.024359 Loss_G: 0.003166 Loss_D_real: -0.025349 Loss_D_fake -0.000990
[816/5000][250/535][84051] Loss_D: -0.023075 Loss_G: 0.000698 Loss_D_real: -0.008784 Loss_D_fake 0.014290
[816/5000][255/535][84052] Loss_D: -0.022972 Loss_G: 0.007495 Loss_D_real: -0.019622 Loss_D_fake 0.003350
[816/5000][260/535][84053] Loss_D: -0.023654 Loss_G: 0.017527 Loss_D_real: -0.022940 Loss_D_fake 0.000714
[816/5000][265/535][84054] Loss_D: -0.020389 Loss_G: 0.026945 Loss_D_real: -0.035557 Loss_D_fake -0.015168
[816/5000][270/535][84055] Loss_D: -0.022294 Loss_G: -0.001757 Loss_D_real: -0.004394 Loss_D_fake 0.017900
[816/5000][275/535][84056] Loss_D: -0.023192 Loss_G: 0.005264 Loss_D_real: -0.016486 Loss_D_fake 0.006706
[816/5000][280/535][84057] Loss_D: -0.023013 Loss_G: -0.019476 Loss_D_real: -0.007293 Loss_D_fake 0.015720
[816/5000][285/535][84058] Loss_D: -0.022833 Loss_G: 0.011705 Loss_D_real: -0.012987 Loss_D_fake 0.009846
[816/5000][290/535][84059] Loss_D: -0.023198 Loss_G: -0.007046 Loss_D_real: -0.010719 Loss_D_fake 0.012479
[816/5000][295/535][84060] Loss_D: -0.020970 Loss_G: 0.027692 Loss_D_real: -0.025069 Loss_D_fake -0.004099
[816/5000][300/535][84061] Loss_D: -0.022875 Loss_G: 0.016838 Loss_D_real: -0.027121 Loss_D_fake -0.004247
[816/5000][305/535][84062] Loss_D: -0.023596 Loss_G: 0.012338 Loss_D_real: -0.020115 Loss_D_fake 0.003481
[816/5000][310/535][84063] Loss_D: -0.022864 Loss_G: 0.012382 Loss_D_real: -0.016761 Loss_D_fake 0.006103
[816/5000][315/535][84064] Loss_D: -0.023900 Loss_G: -0.009444 Loss_D_real: -0.009314 Loss_D_fake 0.014586
[816/5000][320/535][84065] Loss_D: -0.024022 Loss_G: 0.023069 Loss_D_real: -0.022896 Loss_D_fake 0.001126
[816/5000][325/535][84066] Loss_D: -0.023097 Loss_G: 0.015482 Loss_D_real: -0.015745 Loss_D_fake 0.007352
[816/5000][330/535][84067] Loss_D: -0.021774 Loss_G: 0.008740 Loss_D_real: -0.014558 Loss_D_fake 0.007216
[816/5000][335/535][84068] Loss_D: -0.023573 Loss_G: 0.015543 Loss_D_real: -0.021238 Loss_D_fake 0.002335
[816/5000][340/535][84069] Loss_D: -0.022630 Loss_G: 0.022739 Loss_D_real: -0.023680 Loss_D_fake -0.001050
[816/5000][345/535][84070] Loss_D: -0.023602 Loss_G: -0.004255 Loss_D_real: -0.005533 Loss_D_fake 0.018070
[816/5000][350/535][84071] Loss_D: -0.022587 Loss_G: -0.011336 Loss_D_real: -0.010606 Loss_D_fake 0.011981
[816/5000][355/535][84072] Loss_D: -0.023691 Loss_G: -0.008086 Loss_D_real: -0.011143 Loss_D_fake 0.012548
[816/5000][360/535][84073] Loss_D: -0.023702 Loss_G: 0.018190 Loss_D_real: -0.022241 Loss_D_fake 0.001461
[816/5000][365/535][84074] Loss_D: -0.021075 Loss_G: 0.001115 Loss_D_real: -0.001501 Loss_D_fake 0.019574
[816/5000][370/535][84075] Loss_D: -0.022372 Loss_G: -0.000236 Loss_D_real: -0.011254 Loss_D_fake 0.011118
[816/5000][375/535][84076] Loss_D: -0.024527 Loss_G: 0.010637 Loss_D_real: -0.007305 Loss_D_fake 0.017222
[816/5000][380/535][84077] Loss_D: -0.022096 Loss_G: 0.023092 Loss_D_real: -0.026118 Loss_D_fake -0.004022
[816/5000][385/535][84078] Loss_D: -0.023593 Loss_G: 0.019114 Loss_D_real: -0.017869 Loss_D_fake 0.005723
[816/5000][390/535][84079] Loss_D: -0.024322 Loss_G: -0.000063 Loss_D_real: -0.010426 Loss_D_fake 0.013896
[816/5000][395/535][84080] Loss_D: -0.022569 Loss_G: 0.021018 Loss_D_real: -0.039961 Loss_D_fake -0.017392
[816/5000][400/535][84081] Loss_D: -0.024149 Loss_G: 0.002571 Loss_D_real: -0.016258 Loss_D_fake 0.007890
[816/5000][405/535][84082] Loss_D: -0.024454 Loss_G: 0.008773 Loss_D_real: -0.022896 Loss_D_fake 0.001558
[816/5000][410/535][84083] Loss_D: -0.024746 Loss_G: 0.010896 Loss_D_real: -0.026912 Loss_D_fake -0.002166
[816/5000][415/535][84084] Loss_D: -0.024795 Loss_G: -0.001873 Loss_D_real: -0.008586 Loss_D_fake 0.016208
[816/5000][420/535][84085] Loss_D: -0.023172 Loss_G: 0.018305 Loss_D_real: -0.020764 Loss_D_fake 0.002408
[816/5000][425/535][84086] Loss_D: -0.022973 Loss_G: 0.006622 Loss_D_real: -0.019924 Loss_D_fake 0.003049
[816/5000][430/535][84087] Loss_D: -0.024120 Loss_G: 0.002074 Loss_D_real: -0.008465 Loss_D_fake 0.015654
[816/5000][435/535][84088] Loss_D: -0.023511 Loss_G: -0.002953 Loss_D_real: -0.004364 Loss_D_fake 0.019148
[816/5000][440/535][84089] Loss_D: -0.024202 Loss_G: 0.008081 Loss_D_real: -0.011274 Loss_D_fake 0.012927
[816/5000][445/535][84090] Loss_D: -0.023627 Loss_G: 0.005857 Loss_D_real: -0.006279 Loss_D_fake 0.017348
[816/5000][450/535][84091] Loss_D: -0.024009 Loss_G: 0.021386 Loss_D_real: -0.023154 Loss_D_fake 0.000855
[816/5000][455/535][84092] Loss_D: -0.024162 Loss_G: 0.002958 Loss_D_real: -0.017862 Loss_D_fake 0.006301
[816/5000][460/535][84093] Loss_D: -0.023935 Loss_G: 0.012978 Loss_D_real: -0.031672 Loss_D_fake -0.007737
[816/5000][465/535][84094] Loss_D: -0.023456 Loss_G: 0.005779 Loss_D_real: -0.008745 Loss_D_fake 0.014711
[816/5000][470/535][84095] Loss_D: -0.023796 Loss_G: 0.011684 Loss_D_real: -0.027796 Loss_D_fake -0.004000
[816/5000][475/535][84096] Loss_D: -0.022646 Loss_G: 0.011107 Loss_D_real: -0.030389 Loss_D_fake -0.007743
[816/5000][480/535][84097] Loss_D: -0.024504 Loss_G: -0.004948 Loss_D_real: -0.006302 Loss_D_fake 0.018203
[816/5000][485/535][84098] Loss_D: -0.023516 Loss_G: 0.011398 Loss_D_real: -0.022954 Loss_D_fake 0.000562
[816/5000][490/535][84099] Loss_D: -0.022881 Loss_G: 0.018442 Loss_D_real: -0.022491 Loss_D_fake 0.000390
[816/5000][495/535][84100] Loss_D: -0.023505 Loss_G: -0.006782 Loss_D_real: -0.000111 Loss_D_fake 0.023393
[816/5000][500/535][84101] Loss_D: -0.022363 Loss_G: 0.019278 Loss_D_real: -0.028639 Loss_D_fake -0.006276
[816/5000][505/535][84102] Loss_D: -0.023075 Loss_G: 0.003810 Loss_D_real: -0.014961 Loss_D_fake 0.008114
[816/5000][510/535][84103] Loss_D: -0.023439 Loss_G: 0.010489 Loss_D_real: -0.018642 Loss_D_fake 0.004797
[816/5000][515/535][84104] Loss_D: -0.023750 Loss_G: 0.014705 Loss_D_real: -0.021696 Loss_D_fake 0.002054
[816/5000][520/535][84105] Loss_D: -0.023265 Loss_G: 0.011795 Loss_D_real: -0.031008 Loss_D_fake -0.007743
[816/5000][525/535][84106] Loss_D: -0.023574 Loss_G: 0.019292 Loss_D_real: -0.026109 Loss_D_fake -0.002535
[816/5000][530/535][84107] Loss_D: -0.023450 Loss_G: 0.000738 Loss_D_real: -0.010130 Loss_D_fake 0.013321
[816/5000][535/535][84108] Loss_D: -0.023619 Loss_G: 0.025560 Loss_D_real: -0.024520 Loss_D_fake -0.000901
[817/5000][5/535][84109] Loss_D: -0.024112 Loss_G: 0.004609 Loss_D_real: -0.012242 Loss_D_fake 0.011870
[817/5000][10/535][84110] Loss_D: -0.024399 Loss_G: -0.006250 Loss_D_real: -0.011363 Loss_D_fake 0.013036
[817/5000][15/535][84111] Loss_D: -0.022337 Loss_G: 0.024566 Loss_D_real: -0.019355 Loss_D_fake 0.002982
[817/5000][20/535][84112] Loss_D: -0.023222 Loss_G: 0.013700 Loss_D_real: -0.020121 Loss_D_fake 0.003101
[817/5000][25/535][84113] Loss_D: -0.023407 Loss_G: 0.011146 Loss_D_real: -0.009030 Loss_D_fake 0.014377
[817/5000][30/535][84114] Loss_D: -0.023828 Loss_G: -0.009758 Loss_D_real: -0.003356 Loss_D_fake 0.020471
[817/5000][35/535][84115] Loss_D: -0.022505 Loss_G: 0.017428 Loss_D_real: -0.032341 Loss_D_fake -0.009837
[817/5000][40/535][84116] Loss_D: -0.024305 Loss_G: 0.015858 Loss_D_real: -0.023996 Loss_D_fake 0.000309
[817/5000][45/535][84117] Loss_D: -0.021742 Loss_G: 0.019459 Loss_D_real: -0.030447 Loss_D_fake -0.008704
[817/5000][50/535][84118] Loss_D: -0.023415 Loss_G: 0.013879 Loss_D_real: -0.024300 Loss_D_fake -0.000885
[817/5000][55/535][84119] Loss_D: -0.023750 Loss_G: 0.032720 Loss_D_real: -0.031272 Loss_D_fake -0.007521
[817/5000][60/535][84120] Loss_D: -0.023633 Loss_G: 0.012798 Loss_D_real: -0.019338 Loss_D_fake 0.004295
[817/5000][65/535][84121] Loss_D: -0.022092 Loss_G: -0.001961 Loss_D_real: -0.023352 Loss_D_fake -0.001261
[817/5000][70/535][84122] Loss_D: -0.022830 Loss_G: -0.007259 Loss_D_real: -0.019064 Loss_D_fake 0.003766
[817/5000][75/535][84123] Loss_D: -0.023702 Loss_G: 0.014500 Loss_D_real: -0.022058 Loss_D_fake 0.001644
[817/5000][80/535][84124] Loss_D: -0.023562 Loss_G: 0.001602 Loss_D_real: -0.014314 Loss_D_fake 0.009248
[817/5000][85/535][84125] Loss_D: -0.022164 Loss_G: -0.008384 Loss_D_real: -0.022521 Loss_D_fake -0.000357
[817/5000][90/535][84126] Loss_D: -0.022437 Loss_G: 0.016257 Loss_D_real: -0.024502 Loss_D_fake -0.002065
[817/5000][95/535][84127] Loss_D: -0.022774 Loss_G: 0.006549 Loss_D_real: -0.013448 Loss_D_fake 0.009326
[817/5000][100/535][84128] Loss_D: -0.023343 Loss_G: 0.016587 Loss_D_real: -0.029043 Loss_D_fake -0.005700
[817/5000][105/535][84129] Loss_D: -0.023512 Loss_G: 0.006161 Loss_D_real: -0.010961 Loss_D_fake 0.012552
[817/5000][110/535][84130] Loss_D: -0.022404 Loss_G: -0.001606 Loss_D_real: -0.013734 Loss_D_fake 0.008670
[817/5000][115/535][84131] Loss_D: -0.023011 Loss_G: 0.019368 Loss_D_real: -0.019998 Loss_D_fake 0.003012
[817/5000][120/535][84132] Loss_D: -0.023177 Loss_G: -0.000390 Loss_D_real: -0.020854 Loss_D_fake 0.002322
[817/5000][125/535][84133] Loss_D: -0.023905 Loss_G: 0.011995 Loss_D_real: -0.011677 Loss_D_fake 0.012228
[817/5000][130/535][84134] Loss_D: -0.023104 Loss_G: 0.011066 Loss_D_real: -0.031168 Loss_D_fake -0.008064
[817/5000][135/535][84135] Loss_D: -0.022891 Loss_G: 0.025440 Loss_D_real: -0.014632 Loss_D_fake 0.008258
[817/5000][140/535][84136] Loss_D: -0.023057 Loss_G: -0.013774 Loss_D_real: -0.014281 Loss_D_fake 0.008777
[817/5000][145/535][84137] Loss_D: -0.022749 Loss_G: 0.015618 Loss_D_real: -0.016230 Loss_D_fake 0.006519
[817/5000][150/535][84138] Loss_D: -0.021124 Loss_G: 0.009277 Loss_D_real: -0.024395 Loss_D_fake -0.003271
[817/5000][155/535][84139] Loss_D: -0.021387 Loss_G: 0.009018 Loss_D_real: -0.002450 Loss_D_fake 0.018937
[817/5000][160/535][84140] Loss_D: -0.024274 Loss_G: 0.002374 Loss_D_real: -0.013342 Loss_D_fake 0.010932
[817/5000][165/535][84141] Loss_D: -0.023614 Loss_G: 0.020387 Loss_D_real: -0.026264 Loss_D_fake -0.002651
[817/5000][170/535][84142] Loss_D: -0.023328 Loss_G: 0.000421 Loss_D_real: -0.014857 Loss_D_fake 0.008471
[817/5000][175/535][84143] Loss_D: -0.023577 Loss_G: 0.005136 Loss_D_real: -0.009599 Loss_D_fake 0.013977
[817/5000][180/535][84144] Loss_D: -0.024057 Loss_G: 0.018164 Loss_D_real: -0.025890 Loss_D_fake -0.001833
[817/5000][185/535][84145] Loss_D: -0.023587 Loss_G: -0.008150 Loss_D_real: -0.014480 Loss_D_fake 0.009107
[817/5000][190/535][84146] Loss_D: -0.023752 Loss_G: 0.023265 Loss_D_real: -0.016085 Loss_D_fake 0.007667
[817/5000][195/535][84147] Loss_D: -0.023381 Loss_G: -0.002754 Loss_D_real: -0.013842 Loss_D_fake 0.009539
[817/5000][200/535][84148] Loss_D: -0.023039 Loss_G: 0.009925 Loss_D_real: -0.022512 Loss_D_fake 0.000527
[817/5000][205/535][84149] Loss_D: -0.022836 Loss_G: 0.004196 Loss_D_real: -0.018781 Loss_D_fake 0.004055
[817/5000][210/535][84150] Loss_D: -0.023338 Loss_G: -0.012627 Loss_D_real: -0.011086 Loss_D_fake 0.012251
[817/5000][215/535][84151] Loss_D: -0.024462 Loss_G: 0.013139 Loss_D_real: -0.017690 Loss_D_fake 0.006772
[817/5000][220/535][84152] Loss_D: -0.023674 Loss_G: 0.024575 Loss_D_real: -0.026117 Loss_D_fake -0.002443
[817/5000][225/535][84153] Loss_D: -0.023575 Loss_G: -0.001163 Loss_D_real: -0.017711 Loss_D_fake 0.005864
[817/5000][230/535][84154] Loss_D: -0.023501 Loss_G: 0.012183 Loss_D_real: -0.018129 Loss_D_fake 0.005373
[817/5000][235/535][84155] Loss_D: -0.022739 Loss_G: 0.012594 Loss_D_real: -0.029928 Loss_D_fake -0.007190
[817/5000][240/535][84156] Loss_D: -0.023947 Loss_G: 0.011134 Loss_D_real: -0.019246 Loss_D_fake 0.004702
[817/5000][245/535][84157] Loss_D: -0.020932 Loss_G: 0.025715 Loss_D_real: -0.041506 Loss_D_fake -0.020574
[817/5000][250/535][84158] Loss_D: -0.023782 Loss_G: 0.022118 Loss_D_real: -0.022167 Loss_D_fake 0.001615
[817/5000][255/535][84159] Loss_D: -0.024331 Loss_G: -0.001848 Loss_D_real: -0.012879 Loss_D_fake 0.011453
[817/5000][260/535][84160] Loss_D: -0.022046 Loss_G: 0.013658 Loss_D_real: -0.024615 Loss_D_fake -0.002569
[817/5000][265/535][84161] Loss_D: -0.022006 Loss_G: 0.027892 Loss_D_real: -0.027541 Loss_D_fake -0.005535
[817/5000][270/535][84162] Loss_D: -0.024303 Loss_G: -0.013962 Loss_D_real: -0.002834 Loss_D_fake 0.021470
[817/5000][275/535][84163] Loss_D: -0.024195 Loss_G: 0.010879 Loss_D_real: -0.014110 Loss_D_fake 0.010084
[817/5000][280/535][84164] Loss_D: -0.023035 Loss_G: 0.003809 Loss_D_real: -0.017067 Loss_D_fake 0.005968
[817/5000][285/535][84165] Loss_D: -0.023236 Loss_G: 0.012319 Loss_D_real: -0.022563 Loss_D_fake 0.000673
[817/5000][290/535][84166] Loss_D: -0.023101 Loss_G: -0.007500 Loss_D_real: -0.008059 Loss_D_fake 0.015042
[817/5000][295/535][84167] Loss_D: -0.023216 Loss_G: -0.000990 Loss_D_real: -0.014677 Loss_D_fake 0.008539
[817/5000][300/535][84168] Loss_D: -0.024111 Loss_G: 0.015930 Loss_D_real: -0.025613 Loss_D_fake -0.001503
[817/5000][305/535][84169] Loss_D: -0.024008 Loss_G: 0.010906 Loss_D_real: -0.016558 Loss_D_fake 0.007450
[817/5000][310/535][84170] Loss_D: -0.023301 Loss_G: 0.008148 Loss_D_real: -0.020930 Loss_D_fake 0.002372
[817/5000][315/535][84171] Loss_D: -0.024243 Loss_G: 0.014227 Loss_D_real: -0.024049 Loss_D_fake 0.000194
[817/5000][320/535][84172] Loss_D: -0.023620 Loss_G: 0.006304 Loss_D_real: -0.009463 Loss_D_fake 0.014157
[817/5000][325/535][84173] Loss_D: -0.023501 Loss_G: 0.014421 Loss_D_real: -0.026274 Loss_D_fake -0.002773
[817/5000][330/535][84174] Loss_D: -0.023272 Loss_G: 0.017990 Loss_D_real: -0.020321 Loss_D_fake 0.002950
[817/5000][335/535][84175] Loss_D: -0.023579 Loss_G: 0.015177 Loss_D_real: -0.024913 Loss_D_fake -0.001334
[817/5000][340/535][84176] Loss_D: -0.025225 Loss_G: -0.000852 Loss_D_real: -0.017695 Loss_D_fake 0.007529
[817/5000][345/535][84177] Loss_D: -0.022905 Loss_G: 0.019443 Loss_D_real: -0.030498 Loss_D_fake -0.007592
[817/5000][350/535][84178] Loss_D: -0.023461 Loss_G: 0.024397 Loss_D_real: -0.025070 Loss_D_fake -0.001609
[817/5000][355/535][84179] Loss_D: -0.021948 Loss_G: 0.024951 Loss_D_real: -0.031518 Loss_D_fake -0.009570
[817/5000][360/535][84180] Loss_D: -0.022283 Loss_G: -0.011257 Loss_D_real: -0.008939 Loss_D_fake 0.013343
[817/5000][365/535][84181] Loss_D: -0.023168 Loss_G: 0.001400 Loss_D_real: -0.011567 Loss_D_fake 0.011601
[817/5000][370/535][84182] Loss_D: -0.023419 Loss_G: 0.026105 Loss_D_real: -0.027503 Loss_D_fake -0.004084
[817/5000][375/535][84183] Loss_D: -0.023323 Loss_G: -0.004664 Loss_D_real: -0.001964 Loss_D_fake 0.021359
[817/5000][380/535][84184] Loss_D: -0.023211 Loss_G: 0.004002 Loss_D_real: -0.013235 Loss_D_fake 0.009976
[817/5000][385/535][84185] Loss_D: -0.021762 Loss_G: -0.019665 Loss_D_real: -0.000843 Loss_D_fake 0.020919
[817/5000][390/535][84186] Loss_D: -0.023339 Loss_G: 0.018603 Loss_D_real: -0.019972 Loss_D_fake 0.003367
[817/5000][395/535][84187] Loss_D: -0.024151 Loss_G: 0.017130 Loss_D_real: -0.015683 Loss_D_fake 0.008468
[817/5000][400/535][84188] Loss_D: -0.023456 Loss_G: 0.005371 Loss_D_real: -0.023590 Loss_D_fake -0.000134
[817/5000][405/535][84189] Loss_D: -0.022644 Loss_G: -0.013310 Loss_D_real: -0.004370 Loss_D_fake 0.018274
[817/5000][410/535][84190] Loss_D: -0.022727 Loss_G: 0.004518 Loss_D_real: -0.002189 Loss_D_fake 0.020538
[817/5000][415/535][84191] Loss_D: -0.023857 Loss_G: 0.006060 Loss_D_real: -0.015339 Loss_D_fake 0.008518
[817/5000][420/535][84192] Loss_D: -0.022626 Loss_G: 0.012766 Loss_D_real: -0.020917 Loss_D_fake 0.001709
[817/5000][425/535][84193] Loss_D: -0.023803 Loss_G: 0.020919 Loss_D_real: -0.029747 Loss_D_fake -0.005943
[817/5000][430/535][84194] Loss_D: -0.023272 Loss_G: -0.008308 Loss_D_real: -0.001661 Loss_D_fake 0.021610
[817/5000][435/535][84195] Loss_D: -0.024465 Loss_G: -0.013311 Loss_D_real: 0.000126 Loss_D_fake 0.024591
[817/5000][440/535][84196] Loss_D: -0.023029 Loss_G: 0.024220 Loss_D_real: -0.027875 Loss_D_fake -0.004846
[817/5000][445/535][84197] Loss_D: -0.024416 Loss_G: 0.006385 Loss_D_real: -0.012273 Loss_D_fake 0.012143
[817/5000][450/535][84198] Loss_D: -0.023495 Loss_G: 0.018717 Loss_D_real: -0.024712 Loss_D_fake -0.001216
[817/5000][455/535][84199] Loss_D: -0.023421 Loss_G: 0.009032 Loss_D_real: -0.024083 Loss_D_fake -0.000662
[817/5000][460/535][84200] Loss_D: -0.023968 Loss_G: 0.004493 Loss_D_real: -0.015039 Loss_D_fake 0.008928
[817/5000][465/535][84201] Loss_D: -0.023598 Loss_G: 0.006886 Loss_D_real: -0.009522 Loss_D_fake 0.014076
[817/5000][470/535][84202] Loss_D: -0.024072 Loss_G: 0.005015 Loss_D_real: -0.007986 Loss_D_fake 0.016086
[817/5000][475/535][84203] Loss_D: -0.023054 Loss_G: 0.011944 Loss_D_real: -0.021371 Loss_D_fake 0.001683
[817/5000][480/535][84204] Loss_D: -0.024151 Loss_G: 0.016904 Loss_D_real: -0.014358 Loss_D_fake 0.009793
[817/5000][485/535][84205] Loss_D: -0.022601 Loss_G: -0.011093 Loss_D_real: -0.006843 Loss_D_fake 0.015757
[817/5000][490/535][84206] Loss_D: -0.023980 Loss_G: 0.022195 Loss_D_real: -0.024220 Loss_D_fake -0.000240
[817/5000][495/535][84207] Loss_D: -0.021191 Loss_G: 0.012377 Loss_D_real: -0.028819 Loss_D_fake -0.007628
[817/5000][500/535][84208] Loss_D: -0.022927 Loss_G: 0.027312 Loss_D_real: -0.036338 Loss_D_fake -0.013412
[817/5000][505/535][84209] Loss_D: -0.022484 Loss_G: 0.021347 Loss_D_real: -0.025242 Loss_D_fake -0.002758
[817/5000][510/535][84210] Loss_D: -0.022018 Loss_G: 0.017764 Loss_D_real: -0.028379 Loss_D_fake -0.006360
[817/5000][515/535][84211] Loss_D: -0.022873 Loss_G: 0.007712 Loss_D_real: -0.019180 Loss_D_fake 0.003693
[817/5000][520/535][84212] Loss_D: -0.023895 Loss_G: 0.011990 Loss_D_real: -0.023692 Loss_D_fake 0.000203
[817/5000][525/535][84213] Loss_D: -0.023383 Loss_G: 0.006620 Loss_D_real: -0.023756 Loss_D_fake -0.000373
[817/5000][530/535][84214] Loss_D: -0.021692 Loss_G: 0.022235 Loss_D_real: -0.035811 Loss_D_fake -0.014119
[817/5000][535/535][84215] Loss_D: -0.023284 Loss_G: 0.023878 Loss_D_real: -0.011806 Loss_D_fake 0.011477
[818/5000][5/535][84216] Loss_D: -0.022967 Loss_G: 0.013442 Loss_D_real: -0.025519 Loss_D_fake -0.002552
[818/5000][10/535][84217] Loss_D: -0.022461 Loss_G: 0.022188 Loss_D_real: -0.024712 Loss_D_fake -0.002251
[818/5000][15/535][84218] Loss_D: -0.023849 Loss_G: 0.017334 Loss_D_real: -0.026741 Loss_D_fake -0.002892
[818/5000][20/535][84219] Loss_D: -0.022753 Loss_G: 0.006927 Loss_D_real: -0.018686 Loss_D_fake 0.004067
[818/5000][25/535][84220] Loss_D: -0.023879 Loss_G: 0.006782 Loss_D_real: -0.017297 Loss_D_fake 0.006581
[818/5000][30/535][84221] Loss_D: -0.022168 Loss_G: 0.016349 Loss_D_real: -0.032289 Loss_D_fake -0.010121
[818/5000][35/535][84222] Loss_D: -0.023713 Loss_G: -0.005266 Loss_D_real: -0.016473 Loss_D_fake 0.007240
[818/5000][40/535][84223] Loss_D: -0.023312 Loss_G: 0.001991 Loss_D_real: -0.017893 Loss_D_fake 0.005419
[818/5000][45/535][84224] Loss_D: -0.022351 Loss_G: 0.006192 Loss_D_real: -0.023536 Loss_D_fake -0.001185
[818/5000][50/535][84225] Loss_D: -0.022596 Loss_G: 0.013239 Loss_D_real: -0.035115 Loss_D_fake -0.012519
[818/5000][55/535][84226] Loss_D: -0.022988 Loss_G: 0.015261 Loss_D_real: -0.015987 Loss_D_fake 0.007000
[818/5000][60/535][84227] Loss_D: -0.022885 Loss_G: 0.020864 Loss_D_real: -0.029624 Loss_D_fake -0.006738
[818/5000][65/535][84228] Loss_D: -0.020371 Loss_G: 0.018578 Loss_D_real: -0.028361 Loss_D_fake -0.007991
[818/5000][70/535][84229] Loss_D: -0.024620 Loss_G: 0.005707 Loss_D_real: -0.027046 Loss_D_fake -0.002426
[818/5000][75/535][84230] Loss_D: -0.023467 Loss_G: -0.007378 Loss_D_real: -0.015300 Loss_D_fake 0.008167
[818/5000][80/535][84231] Loss_D: -0.023393 Loss_G: -0.009256 Loss_D_real: -0.009279 Loss_D_fake 0.014114
[818/5000][85/535][84232] Loss_D: -0.022707 Loss_G: 0.023414 Loss_D_real: -0.019249 Loss_D_fake 0.003458
[818/5000][90/535][84233] Loss_D: -0.023657 Loss_G: 0.017455 Loss_D_real: -0.026574 Loss_D_fake -0.002917
[818/5000][95/535][84234] Loss_D: -0.023931 Loss_G: 0.010085 Loss_D_real: -0.023053 Loss_D_fake 0.000877
[818/5000][100/535][84235] Loss_D: -0.023893 Loss_G: -0.002098 Loss_D_real: -0.014495 Loss_D_fake 0.009398
[818/5000][105/535][84236] Loss_D: -0.023551 Loss_G: 0.002026 Loss_D_real: -0.022620 Loss_D_fake 0.000931
[818/5000][110/535][84237] Loss_D: -0.024208 Loss_G: 0.012704 Loss_D_real: -0.017881 Loss_D_fake 0.006327
[818/5000][115/535][84238] Loss_D: -0.023956 Loss_G: 0.015445 Loss_D_real: -0.029533 Loss_D_fake -0.005577
[818/5000][120/535][84239] Loss_D: -0.023126 Loss_G: 0.022573 Loss_D_real: -0.028851 Loss_D_fake -0.005726
[818/5000][125/535][84240] Loss_D: -0.024378 Loss_G: 0.003432 Loss_D_real: -0.017808 Loss_D_fake 0.006571
[818/5000][130/535][84241] Loss_D: -0.024115 Loss_G: 0.026518 Loss_D_real: -0.021748 Loss_D_fake 0.002367
[818/5000][135/535][84242] Loss_D: -0.024007 Loss_G: 0.012111 Loss_D_real: -0.022711 Loss_D_fake 0.001297
[818/5000][140/535][84243] Loss_D: -0.023144 Loss_G: 0.011128 Loss_D_real: -0.024525 Loss_D_fake -0.001381
[818/5000][145/535][84244] Loss_D: -0.023591 Loss_G: 0.004086 Loss_D_real: -0.013916 Loss_D_fake 0.009675
[818/5000][150/535][84245] Loss_D: -0.023209 Loss_G: 0.016806 Loss_D_real: -0.033469 Loss_D_fake -0.010260
[818/5000][155/535][84246] Loss_D: -0.022968 Loss_G: 0.025161 Loss_D_real: -0.022767 Loss_D_fake 0.000201
[818/5000][160/535][84247] Loss_D: -0.022964 Loss_G: -0.016051 Loss_D_real: -0.001702 Loss_D_fake 0.021261
[818/5000][165/535][84248] Loss_D: -0.022844 Loss_G: 0.017558 Loss_D_real: -0.030930 Loss_D_fake -0.008086
[818/5000][170/535][84249] Loss_D: -0.022318 Loss_G: -0.011649 Loss_D_real: -0.008776 Loss_D_fake 0.013542
[818/5000][175/535][84250] Loss_D: -0.021144 Loss_G: 0.023843 Loss_D_real: -0.039087 Loss_D_fake -0.017943
[818/5000][180/535][84251] Loss_D: -0.023336 Loss_G: 0.000567 Loss_D_real: -0.011876 Loss_D_fake 0.011460
[818/5000][185/535][84252] Loss_D: -0.023464 Loss_G: 0.016780 Loss_D_real: -0.026249 Loss_D_fake -0.002785
[818/5000][190/535][84253] Loss_D: -0.022993 Loss_G: -0.003737 Loss_D_real: -0.014765 Loss_D_fake 0.008228
[818/5000][195/535][84254] Loss_D: -0.023965 Loss_G: 0.006935 Loss_D_real: -0.024723 Loss_D_fake -0.000758
[818/5000][200/535][84255] Loss_D: -0.024353 Loss_G: 0.003537 Loss_D_real: -0.018775 Loss_D_fake 0.005578
[818/5000][205/535][84256] Loss_D: -0.023929 Loss_G: 0.018800 Loss_D_real: -0.025820 Loss_D_fake -0.001891
[818/5000][210/535][84257] Loss_D: -0.022963 Loss_G: 0.030093 Loss_D_real: -0.028687 Loss_D_fake -0.005724
[818/5000][215/535][84258] Loss_D: -0.023430 Loss_G: -0.000028 Loss_D_real: -0.014266 Loss_D_fake 0.009165
[818/5000][220/535][84259] Loss_D: -0.022720 Loss_G: 0.015833 Loss_D_real: -0.023944 Loss_D_fake -0.001224
[818/5000][225/535][84260] Loss_D: -0.022867 Loss_G: -0.002847 Loss_D_real: -0.001251 Loss_D_fake 0.021616
[818/5000][230/535][84261] Loss_D: -0.022906 Loss_G: 0.011281 Loss_D_real: -0.011764 Loss_D_fake 0.011143
[818/5000][235/535][84262] Loss_D: -0.023340 Loss_G: 0.014310 Loss_D_real: -0.020109 Loss_D_fake 0.003232
[818/5000][240/535][84263] Loss_D: -0.022023 Loss_G: 0.004813 Loss_D_real: -0.025425 Loss_D_fake -0.003403
[818/5000][245/535][84264] Loss_D: -0.024006 Loss_G: -0.000619 Loss_D_real: -0.021710 Loss_D_fake 0.002296
[818/5000][250/535][84265] Loss_D: -0.023836 Loss_G: -0.009601 Loss_D_real: -0.016291 Loss_D_fake 0.007545
[818/5000][255/535][84266] Loss_D: -0.023489 Loss_G: 0.001991 Loss_D_real: -0.020931 Loss_D_fake 0.002557
[818/5000][260/535][84267] Loss_D: -0.021835 Loss_G: 0.006768 Loss_D_real: -0.019009 Loss_D_fake 0.002826
[818/5000][265/535][84268] Loss_D: -0.021928 Loss_G: 0.002316 Loss_D_real: -0.014572 Loss_D_fake 0.007356
[818/5000][270/535][84269] Loss_D: -0.023372 Loss_G: 0.009410 Loss_D_real: -0.021580 Loss_D_fake 0.001792
[818/5000][275/535][84270] Loss_D: -0.022733 Loss_G: 0.007639 Loss_D_real: -0.017969 Loss_D_fake 0.004764
[818/5000][280/535][84271] Loss_D: -0.022281 Loss_G: -0.011922 Loss_D_real: -0.005123 Loss_D_fake 0.017158
[818/5000][285/535][84272] Loss_D: -0.023062 Loss_G: 0.007633 Loss_D_real: -0.020397 Loss_D_fake 0.002665
[818/5000][290/535][84273] Loss_D: -0.022595 Loss_G: 0.011341 Loss_D_real: -0.019775 Loss_D_fake 0.002820
[818/5000][295/535][84274] Loss_D: -0.023558 Loss_G: 0.002414 Loss_D_real: -0.021919 Loss_D_fake 0.001639
[818/5000][300/535][84275] Loss_D: -0.023297 Loss_G: -0.015355 Loss_D_real: -0.006199 Loss_D_fake 0.017098
[818/5000][305/535][84276] Loss_D: -0.023420 Loss_G: 0.013757 Loss_D_real: -0.025349 Loss_D_fake -0.001929
[818/5000][310/535][84277] Loss_D: -0.022533 Loss_G: 0.007394 Loss_D_real: -0.016302 Loss_D_fake 0.006231
[818/5000][315/535][84278] Loss_D: -0.022596 Loss_G: -0.002890 Loss_D_real: -0.001593 Loss_D_fake 0.021003
[818/5000][320/535][84279] Loss_D: -0.022208 Loss_G: 0.002789 Loss_D_real: -0.001791 Loss_D_fake 0.020417
[818/5000][325/535][84280] Loss_D: -0.022642 Loss_G: 0.022944 Loss_D_real: -0.028102 Loss_D_fake -0.005461
[818/5000][330/535][84281] Loss_D: -0.023659 Loss_G: 0.013471 Loss_D_real: -0.015623 Loss_D_fake 0.008036
[818/5000][335/535][84282] Loss_D: -0.022908 Loss_G: 0.006587 Loss_D_real: -0.015159 Loss_D_fake 0.007749
[818/5000][340/535][84283] Loss_D: -0.022828 Loss_G: 0.022628 Loss_D_real: -0.023644 Loss_D_fake -0.000815
[818/5000][345/535][84284] Loss_D: -0.023460 Loss_G: -0.015101 Loss_D_real: -0.006716 Loss_D_fake 0.016744
[818/5000][350/535][84285] Loss_D: -0.022555 Loss_G: 0.006783 Loss_D_real: -0.022423 Loss_D_fake 0.000133
[818/5000][355/535][84286] Loss_D: -0.022822 Loss_G: 0.016733 Loss_D_real: -0.030417 Loss_D_fake -0.007596
[818/5000][360/535][84287] Loss_D: -0.024696 Loss_G: 0.007893 Loss_D_real: -0.016738 Loss_D_fake 0.007959
[818/5000][365/535][84288] Loss_D: -0.023248 Loss_G: 0.007275 Loss_D_real: -0.014788 Loss_D_fake 0.008459
[818/5000][370/535][84289] Loss_D: -0.024280 Loss_G: 0.023352 Loss_D_real: -0.020187 Loss_D_fake 0.004092
[818/5000][375/535][84290] Loss_D: -0.022430 Loss_G: -0.000869 Loss_D_real: -0.011719 Loss_D_fake 0.010711
[818/5000][380/535][84291] Loss_D: -0.022462 Loss_G: 0.006120 Loss_D_real: -0.018468 Loss_D_fake 0.003994
[818/5000][385/535][84292] Loss_D: -0.023366 Loss_G: -0.006298 Loss_D_real: -0.010927 Loss_D_fake 0.012439
[818/5000][390/535][84293] Loss_D: -0.021712 Loss_G: 0.030458 Loss_D_real: -0.028486 Loss_D_fake -0.006774
[818/5000][395/535][84294] Loss_D: -0.022867 Loss_G: -0.012497 Loss_D_real: -0.002935 Loss_D_fake 0.019932
[818/5000][400/535][84295] Loss_D: -0.022934 Loss_G: 0.013810 Loss_D_real: -0.019688 Loss_D_fake 0.003247
[818/5000][405/535][84296] Loss_D: -0.022903 Loss_G: 0.015113 Loss_D_real: -0.012542 Loss_D_fake 0.010362
[818/5000][410/535][84297] Loss_D: -0.023610 Loss_G: -0.001572 Loss_D_real: -0.008406 Loss_D_fake 0.015204
[818/5000][415/535][84298] Loss_D: -0.022157 Loss_G: 0.019128 Loss_D_real: -0.021346 Loss_D_fake 0.000811
[818/5000][420/535][84299] Loss_D: -0.022921 Loss_G: 0.018026 Loss_D_real: -0.023390 Loss_D_fake -0.000468
[818/5000][425/535][84300] Loss_D: -0.024187 Loss_G: 0.008502 Loss_D_real: -0.012635 Loss_D_fake 0.011552
[818/5000][430/535][84301] Loss_D: -0.023268 Loss_G: 0.009685 Loss_D_real: -0.015738 Loss_D_fake 0.007530
[818/5000][435/535][84302] Loss_D: -0.023663 Loss_G: 0.003741 Loss_D_real: -0.012587 Loss_D_fake 0.011077
[818/5000][440/535][84303] Loss_D: -0.024856 Loss_G: 0.006163 Loss_D_real: -0.026323 Loss_D_fake -0.001466
[818/5000][445/535][84304] Loss_D: -0.023624 Loss_G: -0.001886 Loss_D_real: -0.015547 Loss_D_fake 0.008077
[818/5000][450/535][84305] Loss_D: -0.024244 Loss_G: 0.004644 Loss_D_real: -0.013034 Loss_D_fake 0.011210
[818/5000][455/535][84306] Loss_D: -0.024330 Loss_G: 0.011340 Loss_D_real: -0.015924 Loss_D_fake 0.008407
[818/5000][460/535][84307] Loss_D: -0.024495 Loss_G: 0.016483 Loss_D_real: -0.026442 Loss_D_fake -0.001947
[818/5000][465/535][84308] Loss_D: -0.023506 Loss_G: 0.031886 Loss_D_real: -0.028388 Loss_D_fake -0.004882
[818/5000][470/535][84309] Loss_D: -0.023721 Loss_G: 0.019419 Loss_D_real: -0.020899 Loss_D_fake 0.002822
[818/5000][475/535][84310] Loss_D: -0.023975 Loss_G: 0.017176 Loss_D_real: -0.026348 Loss_D_fake -0.002372
[818/5000][480/535][84311] Loss_D: -0.025204 Loss_G: 0.005108 Loss_D_real: -0.027402 Loss_D_fake -0.002198
[818/5000][485/535][84312] Loss_D: -0.024351 Loss_G: 0.030480 Loss_D_real: -0.031207 Loss_D_fake -0.006856
[818/5000][490/535][84313] Loss_D: -0.022253 Loss_G: -0.012423 Loss_D_real: -0.012833 Loss_D_fake 0.009420
[818/5000][495/535][84314] Loss_D: -0.024453 Loss_G: 0.016604 Loss_D_real: -0.025688 Loss_D_fake -0.001234
[818/5000][500/535][84315] Loss_D: -0.023999 Loss_G: 0.001320 Loss_D_real: -0.011955 Loss_D_fake 0.012044
[818/5000][505/535][84316] Loss_D: -0.024455 Loss_G: 0.002861 Loss_D_real: -0.017723 Loss_D_fake 0.006732
[818/5000][510/535][84317] Loss_D: -0.022483 Loss_G: 0.022360 Loss_D_real: -0.027930 Loss_D_fake -0.005447
[818/5000][515/535][84318] Loss_D: -0.023717 Loss_G: 0.006056 Loss_D_real: -0.024347 Loss_D_fake -0.000630
[818/5000][520/535][84319] Loss_D: -0.023791 Loss_G: -0.000438 Loss_D_real: -0.015366 Loss_D_fake 0.008425
[818/5000][525/535][84320] Loss_D: -0.022318 Loss_G: 0.008879 Loss_D_real: -0.021118 Loss_D_fake 0.001200
[818/5000][530/535][84321] Loss_D: -0.023801 Loss_G: 0.011858 Loss_D_real: -0.017828 Loss_D_fake 0.005973
[818/5000][535/535][84322] Loss_D: -0.022385 Loss_G: 0.009980 Loss_D_real: -0.031334 Loss_D_fake -0.008949
[819/5000][5/535][84323] Loss_D: -0.024343 Loss_G: 0.004837 Loss_D_real: -0.015531 Loss_D_fake 0.008811
[819/5000][10/535][84324] Loss_D: -0.023387 Loss_G: -0.003884 Loss_D_real: -0.004388 Loss_D_fake 0.018999
[819/5000][15/535][84325] Loss_D: -0.022038 Loss_G: 0.007606 Loss_D_real: -0.022644 Loss_D_fake -0.000606
[819/5000][20/535][84326] Loss_D: -0.023242 Loss_G: 0.004901 Loss_D_real: -0.021865 Loss_D_fake 0.001377
[819/5000][25/535][84327] Loss_D: -0.022655 Loss_G: 0.004181 Loss_D_real: -0.016226 Loss_D_fake 0.006430
[819/5000][30/535][84328] Loss_D: -0.025117 Loss_G: 0.007011 Loss_D_real: -0.014171 Loss_D_fake 0.010946
[819/5000][35/535][84329] Loss_D: -0.022146 Loss_G: 0.004662 Loss_D_real: -0.011334 Loss_D_fake 0.010812
[819/5000][40/535][84330] Loss_D: -0.022902 Loss_G: -0.003406 Loss_D_real: -0.014648 Loss_D_fake 0.008255
[819/5000][45/535][84331] Loss_D: -0.023367 Loss_G: 0.010775 Loss_D_real: -0.021251 Loss_D_fake 0.002116
[819/5000][50/535][84332] Loss_D: -0.022014 Loss_G: -0.012868 Loss_D_real: -0.008039 Loss_D_fake 0.013975
[819/5000][55/535][84333] Loss_D: -0.023026 Loss_G: 0.022012 Loss_D_real: -0.024279 Loss_D_fake -0.001253
[819/5000][60/535][84334] Loss_D: -0.022121 Loss_G: 0.013574 Loss_D_real: -0.023228 Loss_D_fake -0.001107
[819/5000][65/535][84335] Loss_D: -0.022858 Loss_G: 0.014746 Loss_D_real: -0.026050 Loss_D_fake -0.003193
[819/5000][70/535][84336] Loss_D: -0.023024 Loss_G: 0.021060 Loss_D_real: -0.024398 Loss_D_fake -0.001374
[819/5000][75/535][84337] Loss_D: -0.023139 Loss_G: 0.005765 Loss_D_real: -0.007404 Loss_D_fake 0.015735
[819/5000][80/535][84338] Loss_D: -0.023723 Loss_G: 0.010904 Loss_D_real: -0.016467 Loss_D_fake 0.007256
[819/5000][85/535][84339] Loss_D: -0.023006 Loss_G: -0.010315 Loss_D_real: -0.015559 Loss_D_fake 0.007447
[819/5000][90/535][84340] Loss_D: -0.023041 Loss_G: 0.015781 Loss_D_real: -0.019187 Loss_D_fake 0.003854
[819/5000][95/535][84341] Loss_D: -0.023491 Loss_G: 0.005382 Loss_D_real: -0.013036 Loss_D_fake 0.010454
[819/5000][100/535][84342] Loss_D: -0.022840 Loss_G: -0.004507 Loss_D_real: 0.000855 Loss_D_fake 0.023695
[819/5000][105/535][84343] Loss_D: -0.023227 Loss_G: -0.001176 Loss_D_real: -0.016650 Loss_D_fake 0.006577
[819/5000][110/535][84344] Loss_D: -0.021491 Loss_G: 0.012674 Loss_D_real: -0.024300 Loss_D_fake -0.002809
[819/5000][115/535][84345] Loss_D: -0.022668 Loss_G: 0.015488 Loss_D_real: -0.023509 Loss_D_fake -0.000841
[819/5000][120/535][84346] Loss_D: -0.023598 Loss_G: -0.000757 Loss_D_real: -0.016568 Loss_D_fake 0.007031
[819/5000][125/535][84347] Loss_D: -0.023891 Loss_G: 0.017506 Loss_D_real: -0.021096 Loss_D_fake 0.002795
[819/5000][130/535][84348] Loss_D: -0.024375 Loss_G: 0.020226 Loss_D_real: -0.028652 Loss_D_fake -0.004277
[819/5000][135/535][84349] Loss_D: -0.022853 Loss_G: 0.021742 Loss_D_real: -0.032203 Loss_D_fake -0.009351
[819/5000][140/535][84350] Loss_D: -0.022298 Loss_G: -0.002102 Loss_D_real: -0.005085 Loss_D_fake 0.017213
[819/5000][145/535][84351] Loss_D: -0.024099 Loss_G: 0.008179 Loss_D_real: -0.012969 Loss_D_fake 0.011130
[819/5000][150/535][84352] Loss_D: -0.022662 Loss_G: -0.004528 Loss_D_real: 0.004043 Loss_D_fake 0.026705
[819/5000][155/535][84353] Loss_D: -0.023405 Loss_G: 0.012925 Loss_D_real: -0.028635 Loss_D_fake -0.005230
[819/5000][160/535][84354] Loss_D: -0.024462 Loss_G: 0.004745 Loss_D_real: -0.019306 Loss_D_fake 0.005156
[819/5000][165/535][84355] Loss_D: -0.024149 Loss_G: 0.019272 Loss_D_real: -0.029292 Loss_D_fake -0.005143
[819/5000][170/535][84356] Loss_D: -0.023039 Loss_G: -0.012557 Loss_D_real: -0.009521 Loss_D_fake 0.013518
[819/5000][175/535][84357] Loss_D: -0.024127 Loss_G: 0.011280 Loss_D_real: -0.025159 Loss_D_fake -0.001032
[819/5000][180/535][84358] Loss_D: -0.024213 Loss_G: 0.010827 Loss_D_real: -0.011781 Loss_D_fake 0.012432
[819/5000][185/535][84359] Loss_D: -0.021865 Loss_G: -0.007578 Loss_D_real: -0.005844 Loss_D_fake 0.016022
[819/5000][190/535][84360] Loss_D: -0.022645 Loss_G: 0.025342 Loss_D_real: -0.020888 Loss_D_fake 0.001757
[819/5000][195/535][84361] Loss_D: -0.022822 Loss_G: 0.017775 Loss_D_real: -0.026386 Loss_D_fake -0.003564
[819/5000][200/535][84362] Loss_D: -0.022472 Loss_G: 0.006725 Loss_D_real: -0.021838 Loss_D_fake 0.000634
[819/5000][205/535][84363] Loss_D: -0.021391 Loss_G: 0.022527 Loss_D_real: -0.033621 Loss_D_fake -0.012230
[819/5000][210/535][84364] Loss_D: -0.024085 Loss_G: 0.008288 Loss_D_real: -0.022317 Loss_D_fake 0.001768
[819/5000][215/535][84365] Loss_D: -0.022767 Loss_G: 0.024300 Loss_D_real: -0.026610 Loss_D_fake -0.003843
[819/5000][220/535][84366] Loss_D: -0.023713 Loss_G: 0.021615 Loss_D_real: -0.031115 Loss_D_fake -0.007402
[819/5000][225/535][84367] Loss_D: -0.024351 Loss_G: 0.001317 Loss_D_real: -0.019198 Loss_D_fake 0.005153
[819/5000][230/535][84368] Loss_D: -0.023498 Loss_G: 0.014488 Loss_D_real: -0.016681 Loss_D_fake 0.006817
[819/5000][235/535][84369] Loss_D: -0.024209 Loss_G: 0.006220 Loss_D_real: -0.016372 Loss_D_fake 0.007837
[819/5000][240/535][84370] Loss_D: -0.021422 Loss_G: -0.007159 Loss_D_real: -0.010013 Loss_D_fake 0.011409
[819/5000][245/535][84371] Loss_D: -0.022541 Loss_G: -0.005295 Loss_D_real: -0.016105 Loss_D_fake 0.006436
[819/5000][250/535][84372] Loss_D: -0.024175 Loss_G: 0.011241 Loss_D_real: -0.015329 Loss_D_fake 0.008846
[819/5000][255/535][84373] Loss_D: -0.022721 Loss_G: 0.011232 Loss_D_real: -0.018600 Loss_D_fake 0.004120
[819/5000][260/535][84374] Loss_D: -0.023347 Loss_G: 0.000619 Loss_D_real: -0.013575 Loss_D_fake 0.009772
[819/5000][265/535][84375] Loss_D: -0.022953 Loss_G: 0.015274 Loss_D_real: -0.016950 Loss_D_fake 0.006002
[819/5000][270/535][84376] Loss_D: -0.024571 Loss_G: -0.002847 Loss_D_real: -0.012692 Loss_D_fake 0.011878
[819/5000][275/535][84377] Loss_D: -0.023879 Loss_G: 0.003104 Loss_D_real: -0.015224 Loss_D_fake 0.008656
[819/5000][280/535][84378] Loss_D: -0.023959 Loss_G: 0.030838 Loss_D_real: -0.029692 Loss_D_fake -0.005733
[819/5000][285/535][84379] Loss_D: -0.024392 Loss_G: 0.017495 Loss_D_real: -0.025629 Loss_D_fake -0.001237
[819/5000][290/535][84380] Loss_D: -0.023968 Loss_G: -0.006891 Loss_D_real: -0.015985 Loss_D_fake 0.007982
[819/5000][295/535][84381] Loss_D: -0.022924 Loss_G: 0.041950 Loss_D_real: -0.030395 Loss_D_fake -0.007470
[819/5000][300/535][84382] Loss_D: -0.023012 Loss_G: -0.013431 Loss_D_real: -0.006915 Loss_D_fake 0.016097
[819/5000][305/535][84383] Loss_D: -0.023826 Loss_G: 0.014697 Loss_D_real: -0.023804 Loss_D_fake 0.000023
[819/5000][310/535][84384] Loss_D: -0.022861 Loss_G: 0.014042 Loss_D_real: -0.011568 Loss_D_fake 0.011293
[819/5000][315/535][84385] Loss_D: -0.022098 Loss_G: 0.021731 Loss_D_real: -0.020808 Loss_D_fake 0.001290
[819/5000][320/535][84386] Loss_D: -0.023136 Loss_G: -0.009958 Loss_D_real: -0.003774 Loss_D_fake 0.019362
[819/5000][325/535][84387] Loss_D: -0.022994 Loss_G: 0.018152 Loss_D_real: -0.022234 Loss_D_fake 0.000759
[819/5000][330/535][84388] Loss_D: -0.022419 Loss_G: 0.018831 Loss_D_real: -0.025370 Loss_D_fake -0.002952
[819/5000][335/535][84389] Loss_D: -0.022498 Loss_G: 0.010570 Loss_D_real: -0.016778 Loss_D_fake 0.005721
[819/5000][340/535][84390] Loss_D: -0.025053 Loss_G: 0.001015 Loss_D_real: -0.015360 Loss_D_fake 0.009692
[819/5000][345/535][84391] Loss_D: -0.023155 Loss_G: 0.013799 Loss_D_real: -0.016715 Loss_D_fake 0.006439
[819/5000][350/535][84392] Loss_D: -0.022880 Loss_G: 0.024578 Loss_D_real: -0.032699 Loss_D_fake -0.009819
[819/5000][355/535][84393] Loss_D: -0.023589 Loss_G: -0.013972 Loss_D_real: -0.007898 Loss_D_fake 0.015691
[819/5000][360/535][84394] Loss_D: -0.022148 Loss_G: 0.022624 Loss_D_real: -0.039501 Loss_D_fake -0.017353
[819/5000][365/535][84395] Loss_D: -0.023206 Loss_G: 0.010126 Loss_D_real: -0.019652 Loss_D_fake 0.003554
[819/5000][370/535][84396] Loss_D: -0.024071 Loss_G: 0.013555 Loss_D_real: -0.011118 Loss_D_fake 0.012953
[819/5000][375/535][84397] Loss_D: -0.022384 Loss_G: -0.014289 Loss_D_real: -0.003909 Loss_D_fake 0.018475
[819/5000][380/535][84398] Loss_D: -0.022414 Loss_G: 0.013050 Loss_D_real: -0.027413 Loss_D_fake -0.004999
[819/5000][385/535][84399] Loss_D: -0.023558 Loss_G: 0.015639 Loss_D_real: -0.025575 Loss_D_fake -0.002017
[819/5000][390/535][84400] Loss_D: -0.024181 Loss_G: -0.002213 Loss_D_real: -0.011693 Loss_D_fake 0.012488
[819/5000][395/535][84401] Loss_D: -0.024114 Loss_G: 0.006230 Loss_D_real: -0.020233 Loss_D_fake 0.003881
[819/5000][400/535][84402] Loss_D: -0.023398 Loss_G: 0.016237 Loss_D_real: -0.026040 Loss_D_fake -0.002642
[819/5000][405/535][84403] Loss_D: -0.024422 Loss_G: 0.010890 Loss_D_real: -0.021777 Loss_D_fake 0.002645
[819/5000][410/535][84404] Loss_D: -0.023080 Loss_G: -0.005946 Loss_D_real: -0.011187 Loss_D_fake 0.011893
[819/5000][415/535][84405] Loss_D: -0.022643 Loss_G: -0.001196 Loss_D_real: -0.005131 Loss_D_fake 0.017512
[819/5000][420/535][84406] Loss_D: -0.023701 Loss_G: 0.019967 Loss_D_real: -0.027936 Loss_D_fake -0.004235
[819/5000][425/535][84407] Loss_D: -0.021956 Loss_G: 0.024192 Loss_D_real: -0.031380 Loss_D_fake -0.009424
[819/5000][430/535][84408] Loss_D: -0.022853 Loss_G: 0.015329 Loss_D_real: -0.024680 Loss_D_fake -0.001827
[819/5000][435/535][84409] Loss_D: -0.023380 Loss_G: 0.006293 Loss_D_real: -0.020918 Loss_D_fake 0.002462
[819/5000][440/535][84410] Loss_D: -0.022031 Loss_G: 0.021860 Loss_D_real: -0.025132 Loss_D_fake -0.003101
[819/5000][445/535][84411] Loss_D: -0.022393 Loss_G: -0.004502 Loss_D_real: -0.016910 Loss_D_fake 0.005484
[819/5000][450/535][84412] Loss_D: -0.023001 Loss_G: 0.021874 Loss_D_real: -0.025091 Loss_D_fake -0.002090
[819/5000][455/535][84413] Loss_D: -0.023279 Loss_G: 0.005148 Loss_D_real: -0.013131 Loss_D_fake 0.010148
[819/5000][460/535][84414] Loss_D: -0.021535 Loss_G: -0.007280 Loss_D_real: -0.016107 Loss_D_fake 0.005428
[819/5000][465/535][84415] Loss_D: -0.022809 Loss_G: 0.024809 Loss_D_real: -0.026239 Loss_D_fake -0.003430
[819/5000][470/535][84416] Loss_D: -0.022925 Loss_G: 0.012359 Loss_D_real: -0.019345 Loss_D_fake 0.003580
[819/5000][475/535][84417] Loss_D: -0.023199 Loss_G: 0.030360 Loss_D_real: -0.030663 Loss_D_fake -0.007464
[819/5000][480/535][84418] Loss_D: -0.023968 Loss_G: 0.010794 Loss_D_real: -0.023978 Loss_D_fake -0.000010
[819/5000][485/535][84419] Loss_D: -0.023606 Loss_G: 0.000354 Loss_D_real: -0.005778 Loss_D_fake 0.017828
[819/5000][490/535][84420] Loss_D: -0.022102 Loss_G: 0.015475 Loss_D_real: -0.034255 Loss_D_fake -0.012153
[819/5000][495/535][84421] Loss_D: -0.023847 Loss_G: 0.009843 Loss_D_real: -0.020129 Loss_D_fake 0.003719
[819/5000][500/535][84422] Loss_D: -0.022882 Loss_G: -0.011718 Loss_D_real: -0.010993 Loss_D_fake 0.011889
[819/5000][505/535][84423] Loss_D: -0.023426 Loss_G: 0.002061 Loss_D_real: -0.021922 Loss_D_fake 0.001504
[819/5000][510/535][84424] Loss_D: -0.023892 Loss_G: 0.008149 Loss_D_real: -0.023730 Loss_D_fake 0.000162
[819/5000][515/535][84425] Loss_D: -0.023204 Loss_G: 0.009248 Loss_D_real: -0.015944 Loss_D_fake 0.007260
[819/5000][520/535][84426] Loss_D: -0.023950 Loss_G: 0.001270 Loss_D_real: -0.023278 Loss_D_fake 0.000673
[819/5000][525/535][84427] Loss_D: -0.022553 Loss_G: -0.003031 Loss_D_real: -0.016801 Loss_D_fake 0.005752
[819/5000][530/535][84428] Loss_D: -0.023124 Loss_G: 0.000277 Loss_D_real: -0.016610 Loss_D_fake 0.006514
[819/5000][535/535][84429] Loss_D: -0.023340 Loss_G: 0.006640 Loss_D_real: -0.016467 Loss_D_fake 0.006873
[820/5000][5/535][84430] Loss_D: -0.022291 Loss_G: 0.018487 Loss_D_real: -0.022167 Loss_D_fake 0.000124
[820/5000][10/535][84431] Loss_D: -0.022386 Loss_G: 0.003520 Loss_D_real: -0.015685 Loss_D_fake 0.006701
[820/5000][15/535][84432] Loss_D: -0.023786 Loss_G: -0.002565 Loss_D_real: -0.013763 Loss_D_fake 0.010023
[820/5000][20/535][84433] Loss_D: -0.022891 Loss_G: 0.017360 Loss_D_real: -0.017815 Loss_D_fake 0.005076
[820/5000][25/535][84434] Loss_D: -0.023639 Loss_G: 0.015312 Loss_D_real: -0.019662 Loss_D_fake 0.003977
[820/5000][30/535][84435] Loss_D: -0.022463 Loss_G: 0.002212 Loss_D_real: -0.009728 Loss_D_fake 0.012735
[820/5000][35/535][84436] Loss_D: -0.021490 Loss_G: -0.007950 Loss_D_real: -0.014401 Loss_D_fake 0.007089
[820/5000][40/535][84437] Loss_D: -0.022321 Loss_G: -0.000392 Loss_D_real: -0.017775 Loss_D_fake 0.004546
[820/5000][45/535][84438] Loss_D: -0.023625 Loss_G: 0.009415 Loss_D_real: -0.022500 Loss_D_fake 0.001125
[820/5000][50/535][84439] Loss_D: -0.023832 Loss_G: 0.010862 Loss_D_real: -0.025625 Loss_D_fake -0.001793
[820/5000][55/535][84440] Loss_D: -0.021110 Loss_G: 0.028152 Loss_D_real: -0.038763 Loss_D_fake -0.017653
[820/5000][60/535][84441] Loss_D: -0.023152 Loss_G: -0.004777 Loss_D_real: -0.004647 Loss_D_fake 0.018505
[820/5000][65/535][84442] Loss_D: -0.022932 Loss_G: 0.002739 Loss_D_real: -0.005584 Loss_D_fake 0.017347
[820/5000][70/535][84443] Loss_D: -0.021757 Loss_G: 0.022535 Loss_D_real: -0.029084 Loss_D_fake -0.007327
[820/5000][75/535][84444] Loss_D: -0.023025 Loss_G: 0.012715 Loss_D_real: -0.024358 Loss_D_fake -0.001333
[820/5000][80/535][84445] Loss_D: -0.023025 Loss_G: 0.013164 Loss_D_real: -0.020942 Loss_D_fake 0.002083
[820/5000][85/535][84446] Loss_D: -0.023931 Loss_G: -0.007382 Loss_D_real: -0.011863 Loss_D_fake 0.012068
[820/5000][90/535][84447] Loss_D: -0.023003 Loss_G: 0.006081 Loss_D_real: -0.021116 Loss_D_fake 0.001887
[820/5000][95/535][84448] Loss_D: -0.022626 Loss_G: 0.014455 Loss_D_real: -0.020260 Loss_D_fake 0.002366
[820/5000][100/535][84449] Loss_D: -0.023480 Loss_G: -0.006606 Loss_D_real: -0.006945 Loss_D_fake 0.016536
[820/5000][105/535][84450] Loss_D: -0.024530 Loss_G: 0.011478 Loss_D_real: -0.007411 Loss_D_fake 0.017119
[820/5000][110/535][84451] Loss_D: -0.023333 Loss_G: -0.007041 Loss_D_real: -0.010113 Loss_D_fake 0.013219
[820/5000][115/535][84452] Loss_D: -0.024280 Loss_G: 0.002861 Loss_D_real: -0.003915 Loss_D_fake 0.020365
[820/5000][120/535][84453] Loss_D: -0.022479 Loss_G: -0.004565 Loss_D_real: -0.007766 Loss_D_fake 0.014713
[820/5000][125/535][84454] Loss_D: -0.022698 Loss_G: 0.004574 Loss_D_real: -0.014048 Loss_D_fake 0.008650
[820/5000][130/535][84455] Loss_D: -0.023598 Loss_G: 0.011644 Loss_D_real: -0.019784 Loss_D_fake 0.003814
[820/5000][135/535][84456] Loss_D: -0.024065 Loss_G: 0.008045 Loss_D_real: -0.015099 Loss_D_fake 0.008966
[820/5000][140/535][84457] Loss_D: -0.024984 Loss_G: 0.009819 Loss_D_real: -0.019345 Loss_D_fake 0.005639
[820/5000][145/535][84458] Loss_D: -0.024958 Loss_G: 0.022105 Loss_D_real: -0.032208 Loss_D_fake -0.007251
[820/5000][150/535][84459] Loss_D: -0.024494 Loss_G: 0.001984 Loss_D_real: -0.006607 Loss_D_fake 0.017887
[820/5000][155/535][84460] Loss_D: -0.022799 Loss_G: 0.009837 Loss_D_real: -0.026076 Loss_D_fake -0.003277
[820/5000][160/535][84461] Loss_D: -0.020423 Loss_G: -0.001513 Loss_D_real: 0.000407 Loss_D_fake 0.020831
[820/5000][165/535][84462] Loss_D: -0.024490 Loss_G: 0.016482 Loss_D_real: -0.018118 Loss_D_fake 0.006371
[820/5000][170/535][84463] Loss_D: -0.022740 Loss_G: 0.004642 Loss_D_real: -0.019833 Loss_D_fake 0.002907
[820/5000][175/535][84464] Loss_D: -0.023617 Loss_G: 0.005676 Loss_D_real: -0.016433 Loss_D_fake 0.007184
[820/5000][180/535][84465] Loss_D: -0.023705 Loss_G: -0.003807 Loss_D_real: -0.021276 Loss_D_fake 0.002429
[820/5000][185/535][84466] Loss_D: -0.024362 Loss_G: -0.007184 Loss_D_real: -0.006278 Loss_D_fake 0.018084
[820/5000][190/535][84467] Loss_D: -0.022437 Loss_G: 0.012007 Loss_D_real: -0.031772 Loss_D_fake -0.009335
[820/5000][195/535][84468] Loss_D: -0.023226 Loss_G: -0.002142 Loss_D_real: -0.019961 Loss_D_fake 0.003264
[820/5000][200/535][84469] Loss_D: -0.023014 Loss_G: 0.027999 Loss_D_real: -0.030479 Loss_D_fake -0.007466
[820/5000][205/535][84470] Loss_D: -0.023013 Loss_G: 0.006715 Loss_D_real: -0.018168 Loss_D_fake 0.004845
[820/5000][210/535][84471] Loss_D: -0.023244 Loss_G: 0.014385 Loss_D_real: -0.024984 Loss_D_fake -0.001740
[820/5000][215/535][84472] Loss_D: -0.022938 Loss_G: 0.018536 Loss_D_real: -0.011724 Loss_D_fake 0.011214
[820/5000][220/535][84473] Loss_D: -0.023901 Loss_G: 0.007386 Loss_D_real: -0.019180 Loss_D_fake 0.004721
[820/5000][225/535][84474] Loss_D: -0.021941 Loss_G: 0.016396 Loss_D_real: -0.015922 Loss_D_fake 0.006019
[820/5000][230/535][84475] Loss_D: -0.021574 Loss_G: 0.021073 Loss_D_real: -0.038883 Loss_D_fake -0.017310
[820/5000][235/535][84476] Loss_D: -0.023509 Loss_G: 0.015981 Loss_D_real: -0.022111 Loss_D_fake 0.001398
[820/5000][240/535][84477] Loss_D: -0.023682 Loss_G: 0.009827 Loss_D_real: -0.016552 Loss_D_fake 0.007130
[820/5000][245/535][84478] Loss_D: -0.023390 Loss_G: 0.003347 Loss_D_real: -0.012208 Loss_D_fake 0.011182
[820/5000][250/535][84479] Loss_D: -0.022902 Loss_G: -0.002744 Loss_D_real: -0.012639 Loss_D_fake 0.010263
[820/5000][255/535][84480] Loss_D: -0.020355 Loss_G: 0.022919 Loss_D_real: -0.028031 Loss_D_fake -0.007676
[820/5000][260/535][84481] Loss_D: -0.023241 Loss_G: 0.013947 Loss_D_real: -0.024281 Loss_D_fake -0.001040
[820/5000][265/535][84482] Loss_D: -0.024341 Loss_G: -0.006696 Loss_D_real: 0.003144 Loss_D_fake 0.027485
[820/5000][270/535][84483] Loss_D: -0.022347 Loss_G: -0.000568 Loss_D_real: -0.017724 Loss_D_fake 0.004623
[820/5000][275/535][84484] Loss_D: -0.024866 Loss_G: 0.008470 Loss_D_real: -0.027388 Loss_D_fake -0.002522
[820/5000][280/535][84485] Loss_D: -0.023086 Loss_G: 0.010588 Loss_D_real: -0.023940 Loss_D_fake -0.000855
[820/5000][285/535][84486] Loss_D: -0.023156 Loss_G: -0.006076 Loss_D_real: -0.000200 Loss_D_fake 0.022956
[820/5000][290/535][84487] Loss_D: -0.021529 Loss_G: -0.017564 Loss_D_real: -0.001819 Loss_D_fake 0.019709
[820/5000][295/535][84488] Loss_D: -0.022255 Loss_G: 0.008353 Loss_D_real: -0.022541 Loss_D_fake -0.000286
[820/5000][300/535][84489] Loss_D: -0.022578 Loss_G: 0.012483 Loss_D_real: -0.022896 Loss_D_fake -0.000318
[820/5000][305/535][84490] Loss_D: -0.024078 Loss_G: 0.000972 Loss_D_real: -0.020783 Loss_D_fake 0.003295
[820/5000][310/535][84491] Loss_D: -0.022853 Loss_G: 0.016693 Loss_D_real: -0.021362 Loss_D_fake 0.001491
[820/5000][315/535][84492] Loss_D: -0.023729 Loss_G: 0.003216 Loss_D_real: -0.005288 Loss_D_fake 0.018441
[820/5000][320/535][84493] Loss_D: -0.023277 Loss_G: -0.006036 Loss_D_real: -0.008782 Loss_D_fake 0.014495
[820/5000][325/535][84494] Loss_D: -0.022648 Loss_G: 0.006689 Loss_D_real: -0.005694 Loss_D_fake 0.016955
[820/5000][330/535][84495] Loss_D: -0.023252 Loss_G: 0.012936 Loss_D_real: -0.020718 Loss_D_fake 0.002534
[820/5000][335/535][84496] Loss_D: -0.021778 Loss_G: 0.026779 Loss_D_real: -0.037900 Loss_D_fake -0.016122
[820/5000][340/535][84497] Loss_D: -0.022634 Loss_G: 0.012361 Loss_D_real: -0.011941 Loss_D_fake 0.010693
[820/5000][345/535][84498] Loss_D: -0.023965 Loss_G: 0.024261 Loss_D_real: -0.032323 Loss_D_fake -0.008358
[820/5000][350/535][84499] Loss_D: -0.023672 Loss_G: 0.013849 Loss_D_real: -0.025264 Loss_D_fake -0.001592
[820/5000][355/535][84500] Loss_D: -0.024046 Loss_G: 0.006143 Loss_D_real: -0.021770 Loss_D_fake 0.002276
[820/5000][455/535][84501] Loss_D: -0.028147 Loss_G: 0.021318 Loss_D_real: -0.018335 Loss_D_fake 0.009812
[820/5000][460/535][84502] Loss_D: -0.023649 Loss_G: 0.020837 Loss_D_real: -0.023935 Loss_D_fake -0.000286
[820/5000][465/535][84503] Loss_D: -0.022866 Loss_G: 0.005826 Loss_D_real: -0.012287 Loss_D_fake 0.010579
[820/5000][470/535][84504] Loss_D: -0.021996 Loss_G: -0.003386 Loss_D_real: -0.025929 Loss_D_fake -0.003934
[820/5000][475/535][84505] Loss_D: -0.021613 Loss_G: -0.005076 Loss_D_real: -0.010523 Loss_D_fake 0.011089
[820/5000][480/535][84506] Loss_D: -0.022124 Loss_G: -0.001244 Loss_D_real: -0.012638 Loss_D_fake 0.009485
[820/5000][485/535][84507] Loss_D: -0.021620 Loss_G: 0.025452 Loss_D_real: -0.025647 Loss_D_fake -0.004028
[820/5000][490/535][84508] Loss_D: -0.022730 Loss_G: 0.008070 Loss_D_real: -0.012090 Loss_D_fake 0.010640
[820/5000][495/535][84509] Loss_D: -0.021549 Loss_G: 0.016932 Loss_D_real: -0.023660 Loss_D_fake -0.002112
[820/5000][500/535][84510] Loss_D: -0.022124 Loss_G: -0.000828 Loss_D_real: -0.009743 Loss_D_fake 0.012381
[820/5000][505/535][84511] Loss_D: -0.022553 Loss_G: 0.002712 Loss_D_real: -0.005291 Loss_D_fake 0.017262
[820/5000][510/535][84512] Loss_D: -0.022155 Loss_G: 0.013124 Loss_D_real: -0.024137 Loss_D_fake -0.001982
[820/5000][515/535][84513] Loss_D: -0.023356 Loss_G: 0.006276 Loss_D_real: -0.015499 Loss_D_fake 0.007858
[820/5000][520/535][84514] Loss_D: -0.022075 Loss_G: 0.013541 Loss_D_real: -0.023100 Loss_D_fake -0.001025
[820/5000][525/535][84515] Loss_D: -0.022877 Loss_G: 0.014612 Loss_D_real: -0.023145 Loss_D_fake -0.000268
[820/5000][530/535][84516] Loss_D: -0.023068 Loss_G: 0.003647 Loss_D_real: -0.025913 Loss_D_fake -0.002845
[820/5000][535/535][84517] Loss_D: -0.022932 Loss_G: -0.003240 Loss_D_real: -0.029334 Loss_D_fake -0.006402
[821/5000][5/535][84518] Loss_D: -0.024156 Loss_G: 0.009613 Loss_D_real: -0.024258 Loss_D_fake -0.000102
[821/5000][10/535][84519] Loss_D: -0.022546 Loss_G: -0.008534 Loss_D_real: -0.005882 Loss_D_fake 0.016664
[821/5000][15/535][84520] Loss_D: -0.022333 Loss_G: 0.008504 Loss_D_real: -0.018389 Loss_D_fake 0.003943
[821/5000][20/535][84521] Loss_D: -0.022471 Loss_G: 0.017257 Loss_D_real: -0.021455 Loss_D_fake 0.001016
[821/5000][25/535][84522] Loss_D: -0.023391 Loss_G: 0.012514 Loss_D_real: -0.030537 Loss_D_fake -0.007145
[821/5000][30/535][84523] Loss_D: -0.024829 Loss_G: 0.017012 Loss_D_real: -0.025397 Loss_D_fake -0.000568
[821/5000][35/535][84524] Loss_D: -0.025002 Loss_G: -0.002556 Loss_D_real: -0.002327 Loss_D_fake 0.022675
[821/5000][40/535][84525] Loss_D: -0.023722 Loss_G: 0.014613 Loss_D_real: -0.024094 Loss_D_fake -0.000372
[821/5000][45/535][84526] Loss_D: -0.022947 Loss_G: 0.019516 Loss_D_real: -0.027786 Loss_D_fake -0.004839
[821/5000][50/535][84527] Loss_D: -0.022952 Loss_G: 0.003120 Loss_D_real: -0.014476 Loss_D_fake 0.008475
[821/5000][55/535][84528] Loss_D: -0.022616 Loss_G: 0.012654 Loss_D_real: -0.017323 Loss_D_fake 0.005293
[821/5000][60/535][84529] Loss_D: -0.023925 Loss_G: 0.010427 Loss_D_real: -0.024227 Loss_D_fake -0.000302
[821/5000][65/535][84530] Loss_D: -0.023750 Loss_G: 0.002752 Loss_D_real: -0.016867 Loss_D_fake 0.006883
[821/5000][70/535][84531] Loss_D: -0.023589 Loss_G: 0.007313 Loss_D_real: -0.013294 Loss_D_fake 0.010295
[821/5000][75/535][84532] Loss_D: -0.023058 Loss_G: 0.002212 Loss_D_real: -0.012842 Loss_D_fake 0.010216
[821/5000][80/535][84533] Loss_D: -0.021825 Loss_G: -0.008687 Loss_D_real: -0.012638 Loss_D_fake 0.009186
[821/5000][85/535][84534] Loss_D: -0.021944 Loss_G: 0.024000 Loss_D_real: -0.035523 Loss_D_fake -0.013579
[821/5000][90/535][84535] Loss_D: -0.022600 Loss_G: -0.003818 Loss_D_real: -0.006103 Loss_D_fake 0.016497
[821/5000][95/535][84536] Loss_D: -0.023316 Loss_G: 0.013499 Loss_D_real: -0.026010 Loss_D_fake -0.002694
[821/5000][100/535][84537] Loss_D: -0.022572 Loss_G: 0.003584 Loss_D_real: -0.015084 Loss_D_fake 0.007488
[821/5000][105/535][84538] Loss_D: -0.024626 Loss_G: 0.002850 Loss_D_real: -0.001874 Loss_D_fake 0.022752
[821/5000][110/535][84539] Loss_D: -0.022859 Loss_G: 0.001524 Loss_D_real: -0.011513 Loss_D_fake 0.011347
[821/5000][115/535][84540] Loss_D: -0.022813 Loss_G: -0.014324 Loss_D_real: -0.012517 Loss_D_fake 0.010296
[821/5000][120/535][84541] Loss_D: -0.023967 Loss_G: 0.008508 Loss_D_real: -0.021634 Loss_D_fake 0.002333
[821/5000][125/535][84542] Loss_D: -0.022099 Loss_G: -0.001385 Loss_D_real: -0.003369 Loss_D_fake 0.018730
[821/5000][130/535][84543] Loss_D: -0.023364 Loss_G: -0.002367 Loss_D_real: -0.010385 Loss_D_fake 0.012979
[821/5000][135/535][84544] Loss_D: -0.022566 Loss_G: -0.011285 Loss_D_real: -0.017973 Loss_D_fake 0.004594
[821/5000][140/535][84545] Loss_D: -0.022718 Loss_G: 0.001978 Loss_D_real: -0.020637 Loss_D_fake 0.002082
[821/5000][145/535][84546] Loss_D: -0.021227 Loss_G: 0.022810 Loss_D_real: -0.029966 Loss_D_fake -0.008739
[821/5000][150/535][84547] Loss_D: -0.022817 Loss_G: 0.000023 Loss_D_real: 0.000392 Loss_D_fake 0.023209
[821/5000][155/535][84548] Loss_D: -0.022257 Loss_G: 0.011477 Loss_D_real: -0.018442 Loss_D_fake 0.003815
[821/5000][160/535][84549] Loss_D: -0.023174 Loss_G: 0.004768 Loss_D_real: -0.012581 Loss_D_fake 0.010593
[821/5000][165/535][84550] Loss_D: -0.023455 Loss_G: -0.006116 Loss_D_real: -0.007194 Loss_D_fake 0.016262
[821/5000][170/535][84551] Loss_D: -0.022910 Loss_G: 0.006591 Loss_D_real: -0.019991 Loss_D_fake 0.002918
[821/5000][175/535][84552] Loss_D: -0.022912 Loss_G: 0.007528 Loss_D_real: -0.025542 Loss_D_fake -0.002630
[821/5000][180/535][84553] Loss_D: -0.023071 Loss_G: 0.006169 Loss_D_real: -0.018441 Loss_D_fake 0.004630
[821/5000][185/535][84554] Loss_D: -0.023278 Loss_G: 0.012318 Loss_D_real: -0.018072 Loss_D_fake 0.005206
[821/5000][190/535][84555] Loss_D: -0.023382 Loss_G: 0.012275 Loss_D_real: -0.011977 Loss_D_fake 0.011405
[821/5000][195/535][84556] Loss_D: -0.023362 Loss_G: -0.005915 Loss_D_real: -0.016234 Loss_D_fake 0.007128
[821/5000][200/535][84557] Loss_D: -0.021927 Loss_G: 0.004362 Loss_D_real: -0.011770 Loss_D_fake 0.010157
[821/5000][205/535][84558] Loss_D: -0.023907 Loss_G: 0.012077 Loss_D_real: -0.023613 Loss_D_fake 0.000294
[821/5000][210/535][84559] Loss_D: -0.021877 Loss_G: -0.007566 Loss_D_real: -0.003826 Loss_D_fake 0.018051
[821/5000][215/535][84560] Loss_D: -0.023045 Loss_G: -0.006031 Loss_D_real: -0.011511 Loss_D_fake 0.011534
[821/5000][220/535][84561] Loss_D: -0.023111 Loss_G: 0.015348 Loss_D_real: -0.011827 Loss_D_fake 0.011285
[821/5000][225/535][84562] Loss_D: -0.024436 Loss_G: 0.017553 Loss_D_real: -0.021933 Loss_D_fake 0.002503
[821/5000][230/535][84563] Loss_D: -0.023696 Loss_G: 0.002981 Loss_D_real: -0.008220 Loss_D_fake 0.015476
[821/5000][235/535][84564] Loss_D: -0.024572 Loss_G: 0.015747 Loss_D_real: -0.019330 Loss_D_fake 0.005242
[821/5000][240/535][84565] Loss_D: -0.022813 Loss_G: 0.024631 Loss_D_real: -0.027063 Loss_D_fake -0.004249
[821/5000][245/535][84566] Loss_D: -0.022789 Loss_G: 0.018905 Loss_D_real: -0.036078 Loss_D_fake -0.013289
[821/5000][250/535][84567] Loss_D: -0.023236 Loss_G: 0.004604 Loss_D_real: -0.024179 Loss_D_fake -0.000943
[821/5000][255/535][84568] Loss_D: -0.024543 Loss_G: 0.012426 Loss_D_real: -0.014738 Loss_D_fake 0.009805
[821/5000][260/535][84569] Loss_D: -0.023782 Loss_G: -0.009928 Loss_D_real: -0.003220 Loss_D_fake 0.020562
[821/5000][265/535][84570] Loss_D: -0.023297 Loss_G: 0.001794 Loss_D_real: -0.020481 Loss_D_fake 0.002816
[821/5000][270/535][84571] Loss_D: -0.022587 Loss_G: 0.002529 Loss_D_real: -0.002794 Loss_D_fake 0.019793
[821/5000][275/535][84572] Loss_D: -0.023733 Loss_G: -0.014742 Loss_D_real: -0.001011 Loss_D_fake 0.022721
[821/5000][280/535][84573] Loss_D: -0.022477 Loss_G: 0.008672 Loss_D_real: -0.020011 Loss_D_fake 0.002467
[821/5000][285/535][84574] Loss_D: -0.022368 Loss_G: -0.016358 Loss_D_real: -0.002516 Loss_D_fake 0.019852
[821/5000][290/535][84575] Loss_D: -0.023703 Loss_G: 0.014530 Loss_D_real: -0.015794 Loss_D_fake 0.007909
[821/5000][295/535][84576] Loss_D: -0.023091 Loss_G: -0.009009 Loss_D_real: -0.001223 Loss_D_fake 0.021868
[821/5000][300/535][84577] Loss_D: -0.022913 Loss_G: 0.018588 Loss_D_real: -0.023490 Loss_D_fake -0.000577
[821/5000][305/535][84578] Loss_D: -0.021251 Loss_G: 0.026064 Loss_D_real: -0.035238 Loss_D_fake -0.013987
[821/5000][310/535][84579] Loss_D: -0.022794 Loss_G: -0.005963 Loss_D_real: -0.019376 Loss_D_fake 0.003418
[821/5000][315/535][84580] Loss_D: -0.024754 Loss_G: 0.012803 Loss_D_real: -0.024308 Loss_D_fake 0.000447
[821/5000][320/535][84581] Loss_D: -0.024855 Loss_G: 0.005453 Loss_D_real: -0.016991 Loss_D_fake 0.007865
[821/5000][325/535][84582] Loss_D: -0.024770 Loss_G: 0.013910 Loss_D_real: -0.024251 Loss_D_fake 0.000519
[821/5000][330/535][84583] Loss_D: -0.023185 Loss_G: 0.000848 Loss_D_real: -0.020509 Loss_D_fake 0.002676
[821/5000][335/535][84584] Loss_D: -0.022896 Loss_G: 0.009459 Loss_D_real: -0.015976 Loss_D_fake 0.006920
[821/5000][340/535][84585] Loss_D: -0.022510 Loss_G: 0.001441 Loss_D_real: -0.027373 Loss_D_fake -0.004862
[821/5000][345/535][84586] Loss_D: -0.023031 Loss_G: 0.003177 Loss_D_real: -0.011036 Loss_D_fake 0.011995
[821/5000][350/535][84587] Loss_D: -0.024270 Loss_G: 0.008375 Loss_D_real: -0.010322 Loss_D_fake 0.013948
[821/5000][355/535][84588] Loss_D: -0.024285 Loss_G: 0.003204 Loss_D_real: -0.010889 Loss_D_fake 0.013396
[821/5000][360/535][84589] Loss_D: -0.022518 Loss_G: 0.029714 Loss_D_real: -0.034110 Loss_D_fake -0.011591
[821/5000][365/535][84590] Loss_D: -0.021896 Loss_G: 0.027713 Loss_D_real: -0.034085 Loss_D_fake -0.012189
[821/5000][370/535][84591] Loss_D: -0.020857 Loss_G: -0.016580 Loss_D_real: -0.000403 Loss_D_fake 0.020455
[821/5000][375/535][84592] Loss_D: -0.023634 Loss_G: -0.003807 Loss_D_real: -0.018249 Loss_D_fake 0.005385
[821/5000][380/535][84593] Loss_D: -0.022956 Loss_G: 0.010066 Loss_D_real: -0.013963 Loss_D_fake 0.008994
[821/5000][385/535][84594] Loss_D: -0.022235 Loss_G: 0.029386 Loss_D_real: -0.034666 Loss_D_fake -0.012430
[821/5000][390/535][84595] Loss_D: -0.021725 Loss_G: 0.004340 Loss_D_real: -0.019178 Loss_D_fake 0.002547
[821/5000][395/535][84596] Loss_D: -0.020205 Loss_G: 0.014219 Loss_D_real: -0.020772 Loss_D_fake -0.000567
[821/5000][400/535][84597] Loss_D: -0.023230 Loss_G: 0.003558 Loss_D_real: -0.021736 Loss_D_fake 0.001494
[821/5000][405/535][84598] Loss_D: -0.023447 Loss_G: 0.013287 Loss_D_real: -0.013591 Loss_D_fake 0.009856
[821/5000][410/535][84599] Loss_D: -0.022976 Loss_G: 0.016139 Loss_D_real: -0.028539 Loss_D_fake -0.005562
[821/5000][415/535][84600] Loss_D: -0.023278 Loss_G: 0.021784 Loss_D_real: -0.021051 Loss_D_fake 0.002228
[821/5000][420/535][84601] Loss_D: -0.022829 Loss_G: 0.013727 Loss_D_real: -0.023563 Loss_D_fake -0.000733
[821/5000][425/535][84602] Loss_D: -0.023784 Loss_G: 0.005219 Loss_D_real: -0.012226 Loss_D_fake 0.011558
[821/5000][430/535][84603] Loss_D: -0.023452 Loss_G: 0.008817 Loss_D_real: -0.029881 Loss_D_fake -0.006429
[821/5000][435/535][84604] Loss_D: -0.023827 Loss_G: 0.007236 Loss_D_real: -0.019393 Loss_D_fake 0.004435
[821/5000][440/535][84605] Loss_D: -0.022979 Loss_G: 0.008175 Loss_D_real: -0.021534 Loss_D_fake 0.001445
[821/5000][445/535][84606] Loss_D: -0.023918 Loss_G: 0.004407 Loss_D_real: -0.024387 Loss_D_fake -0.000469
[821/5000][450/535][84607] Loss_D: -0.022230 Loss_G: -0.010626 Loss_D_real: -0.011839 Loss_D_fake 0.010390
[821/5000][455/535][84608] Loss_D: -0.024080 Loss_G: 0.012692 Loss_D_real: -0.023650 Loss_D_fake 0.000431
[821/5000][460/535][84609] Loss_D: -0.023026 Loss_G: 0.026526 Loss_D_real: -0.032296 Loss_D_fake -0.009271
[821/5000][465/535][84610] Loss_D: -0.023765 Loss_G: -0.008314 Loss_D_real: -0.005012 Loss_D_fake 0.018753
[821/5000][470/535][84611] Loss_D: -0.022035 Loss_G: 0.023008 Loss_D_real: -0.024008 Loss_D_fake -0.001973
[821/5000][475/535][84612] Loss_D: -0.022285 Loss_G: -0.000644 Loss_D_real: -0.013553 Loss_D_fake 0.008731
[821/5000][480/535][84613] Loss_D: -0.022873 Loss_G: 0.014327 Loss_D_real: -0.025385 Loss_D_fake -0.002512
[821/5000][485/535][84614] Loss_D: -0.021992 Loss_G: 0.003354 Loss_D_real: -0.012973 Loss_D_fake 0.009019
[821/5000][490/535][84615] Loss_D: -0.023816 Loss_G: 0.010706 Loss_D_real: -0.022358 Loss_D_fake 0.001458
[821/5000][495/535][84616] Loss_D: -0.022647 Loss_G: 0.016562 Loss_D_real: -0.030583 Loss_D_fake -0.007936
[821/5000][500/535][84617] Loss_D: -0.023340 Loss_G: 0.007206 Loss_D_real: -0.008991 Loss_D_fake 0.014349
[821/5000][505/535][84618] Loss_D: -0.025131 Loss_G: 0.011588 Loss_D_real: -0.021174 Loss_D_fake 0.003956
[821/5000][510/535][84619] Loss_D: -0.024205 Loss_G: -0.007137 Loss_D_real: -0.014591 Loss_D_fake 0.009614
[821/5000][515/535][84620] Loss_D: -0.022016 Loss_G: -0.012828 Loss_D_real: 0.001496 Loss_D_fake 0.023512
[821/5000][520/535][84621] Loss_D: -0.023076 Loss_G: 0.009419 Loss_D_real: -0.020556 Loss_D_fake 0.002520
[821/5000][525/535][84622] Loss_D: -0.024853 Loss_G: 0.012452 Loss_D_real: -0.016192 Loss_D_fake 0.008661
[821/5000][530/535][84623] Loss_D: -0.024140 Loss_G: 0.009404 Loss_D_real: -0.021047 Loss_D_fake 0.003093
[821/5000][535/535][84624] Loss_D: -0.021119 Loss_G: 0.023092 Loss_D_real: -0.015419 Loss_D_fake 0.005699
[822/5000][5/535][84625] Loss_D: -0.024380 Loss_G: 0.012811 Loss_D_real: -0.021397 Loss_D_fake 0.002983
[822/5000][10/535][84626] Loss_D: -0.023580 Loss_G: 0.028835 Loss_D_real: -0.038021 Loss_D_fake -0.014441
[822/5000][15/535][84627] Loss_D: -0.023664 Loss_G: 0.016085 Loss_D_real: -0.031468 Loss_D_fake -0.007805
[822/5000][20/535][84628] Loss_D: -0.021803 Loss_G: 0.022239 Loss_D_real: -0.034187 Loss_D_fake -0.012384
[822/5000][25/535][84629] Loss_D: -0.024190 Loss_G: 0.005003 Loss_D_real: -0.014225 Loss_D_fake 0.009965
[822/5000][30/535][84630] Loss_D: -0.024112 Loss_G: 0.002044 Loss_D_real: -0.018095 Loss_D_fake 0.006017
[822/5000][35/535][84631] Loss_D: -0.023430 Loss_G: -0.004058 Loss_D_real: -0.009638 Loss_D_fake 0.013792
[822/5000][40/535][84632] Loss_D: -0.023073 Loss_G: 0.004160 Loss_D_real: -0.015788 Loss_D_fake 0.007285
[822/5000][45/535][84633] Loss_D: -0.022089 Loss_G: 0.019156 Loss_D_real: -0.021254 Loss_D_fake 0.000835
[822/5000][50/535][84634] Loss_D: -0.024415 Loss_G: 0.011109 Loss_D_real: -0.010022 Loss_D_fake 0.014394
[822/5000][55/535][84635] Loss_D: -0.022186 Loss_G: 0.024970 Loss_D_real: -0.029180 Loss_D_fake -0.006994
[822/5000][60/535][84636] Loss_D: -0.022918 Loss_G: 0.000007 Loss_D_real: -0.004604 Loss_D_fake 0.018314
[822/5000][65/535][84637] Loss_D: -0.022553 Loss_G: 0.014352 Loss_D_real: -0.019010 Loss_D_fake 0.003544
[822/5000][70/535][84638] Loss_D: -0.021658 Loss_G: 0.012111 Loss_D_real: -0.014411 Loss_D_fake 0.007248
[822/5000][75/535][84639] Loss_D: -0.023150 Loss_G: -0.006973 Loss_D_real: -0.009795 Loss_D_fake 0.013356
[822/5000][80/535][84640] Loss_D: -0.021975 Loss_G: 0.014729 Loss_D_real: -0.035365 Loss_D_fake -0.013390
[822/5000][85/535][84641] Loss_D: -0.022171 Loss_G: 0.022467 Loss_D_real: -0.021868 Loss_D_fake 0.000303
[822/5000][90/535][84642] Loss_D: -0.023246 Loss_G: 0.021284 Loss_D_real: -0.024519 Loss_D_fake -0.001273
[822/5000][95/535][84643] Loss_D: -0.023598 Loss_G: 0.006589 Loss_D_real: -0.009081 Loss_D_fake 0.014518
[822/5000][100/535][84644] Loss_D: -0.023745 Loss_G: 0.000097 Loss_D_real: -0.016803 Loss_D_fake 0.006941
[822/5000][105/535][84645] Loss_D: -0.021425 Loss_G: 0.023682 Loss_D_real: -0.038563 Loss_D_fake -0.017138
[822/5000][110/535][84646] Loss_D: -0.023171 Loss_G: 0.010264 Loss_D_real: -0.025831 Loss_D_fake -0.002661
[822/5000][115/535][84647] Loss_D: -0.024969 Loss_G: 0.010377 Loss_D_real: -0.025704 Loss_D_fake -0.000736
[822/5000][120/535][84648] Loss_D: -0.023920 Loss_G: 0.010232 Loss_D_real: -0.031237 Loss_D_fake -0.007317
[822/5000][125/535][84649] Loss_D: -0.024088 Loss_G: 0.022250 Loss_D_real: -0.028703 Loss_D_fake -0.004615
[822/5000][130/535][84650] Loss_D: -0.023482 Loss_G: -0.005152 Loss_D_real: -0.000434 Loss_D_fake 0.023048
[822/5000][135/535][84651] Loss_D: -0.024197 Loss_G: 0.000268 Loss_D_real: -0.014005 Loss_D_fake 0.010192
[822/5000][140/535][84652] Loss_D: -0.023848 Loss_G: 0.001701 Loss_D_real: -0.005242 Loss_D_fake 0.018605
[822/5000][145/535][84653] Loss_D: -0.022194 Loss_G: 0.023549 Loss_D_real: -0.031178 Loss_D_fake -0.008984
[822/5000][150/535][84654] Loss_D: -0.022407 Loss_G: 0.020925 Loss_D_real: -0.026040 Loss_D_fake -0.003633
[822/5000][155/535][84655] Loss_D: -0.023481 Loss_G: 0.010585 Loss_D_real: -0.025145 Loss_D_fake -0.001664
[822/5000][160/535][84656] Loss_D: -0.023724 Loss_G: 0.002569 Loss_D_real: -0.012621 Loss_D_fake 0.011103
[822/5000][165/535][84657] Loss_D: -0.022479 Loss_G: 0.006420 Loss_D_real: -0.010639 Loss_D_fake 0.011840
[822/5000][170/535][84658] Loss_D: -0.022929 Loss_G: 0.013589 Loss_D_real: -0.017508 Loss_D_fake 0.005421
[822/5000][175/535][84659] Loss_D: -0.024168 Loss_G: 0.014480 Loss_D_real: -0.017338 Loss_D_fake 0.006829
[822/5000][180/535][84660] Loss_D: -0.022811 Loss_G: 0.004090 Loss_D_real: -0.008583 Loss_D_fake 0.014228
[822/5000][185/535][84661] Loss_D: -0.023851 Loss_G: 0.015223 Loss_D_real: -0.012872 Loss_D_fake 0.010979
[822/5000][190/535][84662] Loss_D: -0.022671 Loss_G: 0.000991 Loss_D_real: -0.008914 Loss_D_fake 0.013757
[822/5000][195/535][84663] Loss_D: -0.020847 Loss_G: 0.024372 Loss_D_real: -0.023018 Loss_D_fake -0.002171
[822/5000][200/535][84664] Loss_D: -0.023539 Loss_G: 0.026518 Loss_D_real: -0.028546 Loss_D_fake -0.005007
[822/5000][205/535][84665] Loss_D: -0.022363 Loss_G: -0.005777 Loss_D_real: -0.002170 Loss_D_fake 0.020193
[822/5000][210/535][84666] Loss_D: -0.022434 Loss_G: 0.018344 Loss_D_real: -0.023314 Loss_D_fake -0.000880
[822/5000][215/535][84667] Loss_D: -0.022042 Loss_G: 0.019430 Loss_D_real: -0.021629 Loss_D_fake 0.000413
[822/5000][220/535][84668] Loss_D: -0.021987 Loss_G: 0.021620 Loss_D_real: -0.018655 Loss_D_fake 0.003332
[822/5000][225/535][84669] Loss_D: -0.022470 Loss_G: 0.013654 Loss_D_real: -0.019328 Loss_D_fake 0.003142
[822/5000][230/535][84670] Loss_D: -0.022803 Loss_G: 0.014498 Loss_D_real: -0.013007 Loss_D_fake 0.009797
[822/5000][235/535][84671] Loss_D: -0.022829 Loss_G: 0.023748 Loss_D_real: -0.033378 Loss_D_fake -0.010549
[822/5000][240/535][84672] Loss_D: -0.022807 Loss_G: 0.007291 Loss_D_real: -0.021049 Loss_D_fake 0.001758
[822/5000][245/535][84673] Loss_D: -0.024511 Loss_G: 0.018975 Loss_D_real: -0.030216 Loss_D_fake -0.005705
[822/5000][250/535][84674] Loss_D: -0.023580 Loss_G: 0.016904 Loss_D_real: -0.018255 Loss_D_fake 0.005326
[822/5000][255/535][84675] Loss_D: -0.022849 Loss_G: -0.005009 Loss_D_real: -0.009162 Loss_D_fake 0.013687
[822/5000][260/535][84676] Loss_D: -0.022639 Loss_G: 0.004114 Loss_D_real: -0.012537 Loss_D_fake 0.010102
[822/5000][265/535][84677] Loss_D: -0.022001 Loss_G: 0.010623 Loss_D_real: -0.022771 Loss_D_fake -0.000770
[822/5000][270/535][84678] Loss_D: -0.023636 Loss_G: 0.003781 Loss_D_real: -0.011917 Loss_D_fake 0.011719
[822/5000][275/535][84679] Loss_D: -0.023044 Loss_G: 0.010428 Loss_D_real: -0.022626 Loss_D_fake 0.000417
[822/5000][280/535][84680] Loss_D: -0.023437 Loss_G: -0.003563 Loss_D_real: -0.019622 Loss_D_fake 0.003815
[822/5000][285/535][84681] Loss_D: -0.024444 Loss_G: 0.005365 Loss_D_real: -0.004674 Loss_D_fake 0.019770
[822/5000][290/535][84682] Loss_D: -0.022775 Loss_G: 0.000888 Loss_D_real: -0.016088 Loss_D_fake 0.006687
[822/5000][295/535][84683] Loss_D: -0.023768 Loss_G: 0.028218 Loss_D_real: -0.015424 Loss_D_fake 0.008344
[822/5000][300/535][84684] Loss_D: -0.023203 Loss_G: 0.015261 Loss_D_real: -0.027086 Loss_D_fake -0.003883
[822/5000][305/535][84685] Loss_D: -0.023298 Loss_G: 0.015483 Loss_D_real: -0.030583 Loss_D_fake -0.007285
[822/5000][310/535][84686] Loss_D: -0.023294 Loss_G: 0.003111 Loss_D_real: -0.019965 Loss_D_fake 0.003329
[822/5000][315/535][84687] Loss_D: -0.023363 Loss_G: 0.019486 Loss_D_real: -0.034699 Loss_D_fake -0.011336
[822/5000][320/535][84688] Loss_D: -0.023908 Loss_G: -0.009315 Loss_D_real: -0.001429 Loss_D_fake 0.022479
[822/5000][325/535][84689] Loss_D: -0.023290 Loss_G: 0.004635 Loss_D_real: -0.030689 Loss_D_fake -0.007400
[822/5000][330/535][84690] Loss_D: -0.024357 Loss_G: 0.019524 Loss_D_real: -0.018113 Loss_D_fake 0.006244
[822/5000][335/535][84691] Loss_D: -0.023454 Loss_G: 0.010669 Loss_D_real: -0.027421 Loss_D_fake -0.003966
[822/5000][340/535][84692] Loss_D: -0.024133 Loss_G: 0.014597 Loss_D_real: -0.021271 Loss_D_fake 0.002862
[822/5000][345/535][84693] Loss_D: -0.023745 Loss_G: 0.006111 Loss_D_real: -0.015187 Loss_D_fake 0.008558
[822/5000][350/535][84694] Loss_D: -0.023283 Loss_G: -0.003758 Loss_D_real: -0.008583 Loss_D_fake 0.014699
[822/5000][355/535][84695] Loss_D: -0.022702 Loss_G: 0.015104 Loss_D_real: -0.023043 Loss_D_fake -0.000341
[822/5000][360/535][84696] Loss_D: -0.023518 Loss_G: -0.005431 Loss_D_real: -0.001888 Loss_D_fake 0.021630
[822/5000][365/535][84697] Loss_D: -0.023100 Loss_G: 0.017761 Loss_D_real: -0.019628 Loss_D_fake 0.003472
[822/5000][370/535][84698] Loss_D: -0.023277 Loss_G: -0.000693 Loss_D_real: -0.017428 Loss_D_fake 0.005849
[822/5000][375/535][84699] Loss_D: -0.023627 Loss_G: 0.001569 Loss_D_real: -0.024638 Loss_D_fake -0.001011
[822/5000][380/535][84700] Loss_D: -0.022860 Loss_G: 0.020421 Loss_D_real: -0.023454 Loss_D_fake -0.000594
[822/5000][385/535][84701] Loss_D: -0.022153 Loss_G: -0.006324 Loss_D_real: -0.003998 Loss_D_fake 0.018155
[822/5000][390/535][84702] Loss_D: -0.023441 Loss_G: 0.002547 Loss_D_real: -0.011078 Loss_D_fake 0.012364
[822/5000][395/535][84703] Loss_D: -0.022967 Loss_G: -0.000083 Loss_D_real: -0.019535 Loss_D_fake 0.003433
[822/5000][400/535][84704] Loss_D: -0.022417 Loss_G: -0.017649 Loss_D_real: -0.006650 Loss_D_fake 0.015767
[822/5000][405/535][84705] Loss_D: -0.022980 Loss_G: 0.023489 Loss_D_real: -0.024357 Loss_D_fake -0.001377
[822/5000][410/535][84706] Loss_D: -0.022678 Loss_G: 0.028493 Loss_D_real: -0.033682 Loss_D_fake -0.011004
[822/5000][415/535][84707] Loss_D: -0.023353 Loss_G: 0.009759 Loss_D_real: -0.012610 Loss_D_fake 0.010743
[822/5000][420/535][84708] Loss_D: -0.023228 Loss_G: 0.009070 Loss_D_real: -0.017928 Loss_D_fake 0.005300
[822/5000][425/535][84709] Loss_D: -0.022590 Loss_G: 0.002425 Loss_D_real: -0.018092 Loss_D_fake 0.004498
[822/5000][430/535][84710] Loss_D: -0.023127 Loss_G: 0.010736 Loss_D_real: -0.020272 Loss_D_fake 0.002854
[822/5000][435/535][84711] Loss_D: -0.022663 Loss_G: -0.011416 Loss_D_real: -0.003860 Loss_D_fake 0.018804
[822/5000][440/535][84712] Loss_D: -0.023008 Loss_G: 0.007976 Loss_D_real: -0.023058 Loss_D_fake -0.000051
[822/5000][445/535][84713] Loss_D: -0.023252 Loss_G: 0.022790 Loss_D_real: -0.021570 Loss_D_fake 0.001682
[822/5000][450/535][84714] Loss_D: -0.024270 Loss_G: 0.012808 Loss_D_real: -0.027999 Loss_D_fake -0.003728
[822/5000][455/535][84715] Loss_D: -0.022992 Loss_G: 0.008915 Loss_D_real: -0.016211 Loss_D_fake 0.006781
[822/5000][460/535][84716] Loss_D: -0.021773 Loss_G: 0.019482 Loss_D_real: -0.037200 Loss_D_fake -0.015427
[822/5000][465/535][84717] Loss_D: -0.023993 Loss_G: 0.009348 Loss_D_real: -0.014917 Loss_D_fake 0.009076
[822/5000][470/535][84718] Loss_D: -0.024661 Loss_G: 0.026973 Loss_D_real: -0.025775 Loss_D_fake -0.001114
[822/5000][475/535][84719] Loss_D: -0.023175 Loss_G: -0.014719 Loss_D_real: -0.007493 Loss_D_fake 0.015682
[822/5000][480/535][84720] Loss_D: -0.022788 Loss_G: 0.024422 Loss_D_real: -0.028507 Loss_D_fake -0.005719
[822/5000][485/535][84721] Loss_D: -0.024957 Loss_G: 0.010519 Loss_D_real: -0.016488 Loss_D_fake 0.008469
[822/5000][490/535][84722] Loss_D: -0.025327 Loss_G: 0.007481 Loss_D_real: -0.020364 Loss_D_fake 0.004963
[822/5000][495/535][84723] Loss_D: -0.024134 Loss_G: 0.009037 Loss_D_real: -0.025582 Loss_D_fake -0.001448
[822/5000][500/535][84724] Loss_D: -0.025009 Loss_G: 0.005769 Loss_D_real: -0.020210 Loss_D_fake 0.004799
[822/5000][505/535][84725] Loss_D: -0.024526 Loss_G: 0.005680 Loss_D_real: -0.021927 Loss_D_fake 0.002599
[822/5000][510/535][84726] Loss_D: -0.023488 Loss_G: -0.001566 Loss_D_real: -0.004419 Loss_D_fake 0.019070
[822/5000][515/535][84727] Loss_D: -0.023997 Loss_G: 0.018842 Loss_D_real: -0.034228 Loss_D_fake -0.010231
[822/5000][520/535][84728] Loss_D: -0.022552 Loss_G: 0.000825 Loss_D_real: -0.019000 Loss_D_fake 0.003552
[822/5000][525/535][84729] Loss_D: -0.022013 Loss_G: 0.017090 Loss_D_real: -0.026172 Loss_D_fake -0.004159
[822/5000][530/535][84730] Loss_D: -0.024466 Loss_G: 0.012283 Loss_D_real: -0.027672 Loss_D_fake -0.003206
[822/5000][535/535][84731] Loss_D: -0.022508 Loss_G: 0.016938 Loss_D_real: -0.003578 Loss_D_fake 0.018930
[823/5000][5/535][84732] Loss_D: -0.024593 Loss_G: 0.024062 Loss_D_real: -0.022536 Loss_D_fake 0.002057
[823/5000][10/535][84733] Loss_D: -0.024397 Loss_G: -0.010669 Loss_D_real: -0.009466 Loss_D_fake 0.014931
[823/5000][15/535][84734] Loss_D: -0.023487 Loss_G: -0.002834 Loss_D_real: -0.023812 Loss_D_fake -0.000324
[823/5000][20/535][84735] Loss_D: -0.022568 Loss_G: 0.033222 Loss_D_real: -0.029315 Loss_D_fake -0.006747
[823/5000][25/535][84736] Loss_D: -0.023908 Loss_G: -0.003486 Loss_D_real: -0.009662 Loss_D_fake 0.014246
[823/5000][30/535][84737] Loss_D: -0.022279 Loss_G: 0.007353 Loss_D_real: -0.026726 Loss_D_fake -0.004448
[823/5000][35/535][84738] Loss_D: -0.023040 Loss_G: 0.024442 Loss_D_real: -0.029214 Loss_D_fake -0.006174
[823/5000][40/535][84739] Loss_D: -0.022623 Loss_G: 0.012537 Loss_D_real: -0.038054 Loss_D_fake -0.015432
[823/5000][45/535][84740] Loss_D: -0.022752 Loss_G: 0.025862 Loss_D_real: -0.030488 Loss_D_fake -0.007736
[823/5000][50/535][84741] Loss_D: -0.023704 Loss_G: 0.004042 Loss_D_real: -0.025010 Loss_D_fake -0.001306
[823/5000][55/535][84742] Loss_D: -0.022795 Loss_G: 0.015401 Loss_D_real: -0.038741 Loss_D_fake -0.015946
[823/5000][60/535][84743] Loss_D: -0.023469 Loss_G: 0.007919 Loss_D_real: -0.019765 Loss_D_fake 0.003704
[823/5000][65/535][84744] Loss_D: -0.022361 Loss_G: 0.020487 Loss_D_real: -0.031720 Loss_D_fake -0.009359
[823/5000][70/535][84745] Loss_D: -0.021574 Loss_G: 0.006944 Loss_D_real: -0.017964 Loss_D_fake 0.003610
[823/5000][75/535][84746] Loss_D: -0.021288 Loss_G: -0.005321 Loss_D_real: -0.015972 Loss_D_fake 0.005316
[823/5000][80/535][84747] Loss_D: -0.022404 Loss_G: 0.009003 Loss_D_real: -0.008892 Loss_D_fake 0.013512
[823/5000][85/535][84748] Loss_D: -0.022843 Loss_G: 0.004474 Loss_D_real: -0.016729 Loss_D_fake 0.006114
[823/5000][90/535][84749] Loss_D: -0.024237 Loss_G: 0.015949 Loss_D_real: -0.021762 Loss_D_fake 0.002476
[823/5000][95/535][84750] Loss_D: -0.022340 Loss_G: -0.005993 Loss_D_real: -0.006424 Loss_D_fake 0.015917
[823/5000][100/535][84751] Loss_D: -0.022534 Loss_G: 0.011261 Loss_D_real: -0.016709 Loss_D_fake 0.005825
[823/5000][105/535][84752] Loss_D: -0.024128 Loss_G: 0.005460 Loss_D_real: -0.013362 Loss_D_fake 0.010766
[823/5000][110/535][84753] Loss_D: -0.023564 Loss_G: 0.017622 Loss_D_real: -0.024163 Loss_D_fake -0.000600
[823/5000][115/535][84754] Loss_D: -0.023441 Loss_G: -0.007977 Loss_D_real: -0.011426 Loss_D_fake 0.012014
[823/5000][120/535][84755] Loss_D: -0.024268 Loss_G: -0.003580 Loss_D_real: -0.013096 Loss_D_fake 0.011171
[823/5000][125/535][84756] Loss_D: -0.024503 Loss_G: -0.006468 Loss_D_real: -0.011145 Loss_D_fake 0.013358
[823/5000][130/535][84757] Loss_D: -0.024203 Loss_G: 0.014441 Loss_D_real: -0.021552 Loss_D_fake 0.002651
[823/5000][135/535][84758] Loss_D: -0.023937 Loss_G: 0.020620 Loss_D_real: -0.026767 Loss_D_fake -0.002830
[823/5000][140/535][84759] Loss_D: -0.024417 Loss_G: -0.010100 Loss_D_real: -0.007261 Loss_D_fake 0.017156
[823/5000][145/535][84760] Loss_D: -0.021724 Loss_G: 0.027830 Loss_D_real: -0.019904 Loss_D_fake 0.001819
[823/5000][150/535][84761] Loss_D: -0.022774 Loss_G: 0.005420 Loss_D_real: -0.014639 Loss_D_fake 0.008134
[823/5000][155/535][84762] Loss_D: -0.022374 Loss_G: 0.006822 Loss_D_real: -0.032988 Loss_D_fake -0.010615
[823/5000][160/535][84763] Loss_D: -0.023276 Loss_G: -0.000506 Loss_D_real: -0.027549 Loss_D_fake -0.004273
[823/5000][165/535][84764] Loss_D: -0.023111 Loss_G: 0.013602 Loss_D_real: -0.020740 Loss_D_fake 0.002371
[823/5000][170/535][84765] Loss_D: -0.022384 Loss_G: 0.009736 Loss_D_real: -0.011644 Loss_D_fake 0.010740
[823/5000][175/535][84766] Loss_D: -0.023365 Loss_G: -0.004151 Loss_D_real: -0.006471 Loss_D_fake 0.016893
[823/5000][180/535][84767] Loss_D: -0.024230 Loss_G: 0.005459 Loss_D_real: -0.020836 Loss_D_fake 0.003394
[823/5000][185/535][84768] Loss_D: -0.023719 Loss_G: 0.009473 Loss_D_real: -0.028580 Loss_D_fake -0.004862
[823/5000][190/535][84769] Loss_D: -0.023712 Loss_G: 0.002444 Loss_D_real: -0.019814 Loss_D_fake 0.003898
[823/5000][195/535][84770] Loss_D: -0.021224 Loss_G: -0.002877 Loss_D_real: -0.009066 Loss_D_fake 0.012158
[823/5000][200/535][84771] Loss_D: -0.024145 Loss_G: 0.019288 Loss_D_real: -0.023895 Loss_D_fake 0.000250
[823/5000][205/535][84772] Loss_D: -0.022730 Loss_G: 0.017690 Loss_D_real: -0.030483 Loss_D_fake -0.007753
[823/5000][210/535][84773] Loss_D: -0.023638 Loss_G: 0.014714 Loss_D_real: -0.025950 Loss_D_fake -0.002312
[823/5000][215/535][84774] Loss_D: -0.022678 Loss_G: 0.015328 Loss_D_real: -0.026450 Loss_D_fake -0.003772
[823/5000][220/535][84775] Loss_D: -0.023022 Loss_G: 0.021345 Loss_D_real: -0.025908 Loss_D_fake -0.002886
[823/5000][225/535][84776] Loss_D: -0.023827 Loss_G: 0.018907 Loss_D_real: -0.023029 Loss_D_fake 0.000798
[823/5000][230/535][84777] Loss_D: -0.022122 Loss_G: -0.008930 Loss_D_real: -0.005809 Loss_D_fake 0.016313
[823/5000][235/535][84778] Loss_D: -0.022987 Loss_G: 0.021582 Loss_D_real: -0.029861 Loss_D_fake -0.006874
[823/5000][240/535][84779] Loss_D: -0.022946 Loss_G: 0.019067 Loss_D_real: -0.029463 Loss_D_fake -0.006517
[823/5000][245/535][84780] Loss_D: -0.023461 Loss_G: -0.000309 Loss_D_real: -0.008973 Loss_D_fake 0.014489
[823/5000][250/535][84781] Loss_D: -0.022265 Loss_G: 0.020574 Loss_D_real: -0.028081 Loss_D_fake -0.005816
[823/5000][255/535][84782] Loss_D: -0.023747 Loss_G: -0.010504 Loss_D_real: -0.012454 Loss_D_fake 0.011293
[823/5000][260/535][84783] Loss_D: -0.021501 Loss_G: 0.014142 Loss_D_real: -0.020719 Loss_D_fake 0.000782
[823/5000][265/535][84784] Loss_D: -0.022917 Loss_G: -0.019719 Loss_D_real: 0.001755 Loss_D_fake 0.024673
[823/5000][270/535][84785] Loss_D: -0.022770 Loss_G: 0.016051 Loss_D_real: -0.017622 Loss_D_fake 0.005148
[823/5000][275/535][84786] Loss_D: -0.021975 Loss_G: -0.003056 Loss_D_real: -0.017128 Loss_D_fake 0.004848
[823/5000][280/535][84787] Loss_D: -0.022917 Loss_G: 0.005906 Loss_D_real: -0.018585 Loss_D_fake 0.004331
[823/5000][285/535][84788] Loss_D: -0.022765 Loss_G: 0.001392 Loss_D_real: -0.013933 Loss_D_fake 0.008832
[823/5000][290/535][84789] Loss_D: -0.023425 Loss_G: 0.006194 Loss_D_real: -0.014727 Loss_D_fake 0.008698
[823/5000][295/535][84790] Loss_D: -0.023208 Loss_G: 0.007852 Loss_D_real: -0.020093 Loss_D_fake 0.003115
[823/5000][300/535][84791] Loss_D: -0.024401 Loss_G: -0.001597 Loss_D_real: -0.016547 Loss_D_fake 0.007854
[823/5000][305/535][84792] Loss_D: -0.022922 Loss_G: 0.001877 Loss_D_real: -0.015812 Loss_D_fake 0.007110
[823/5000][310/535][84793] Loss_D: -0.023854 Loss_G: 0.018674 Loss_D_real: -0.024104 Loss_D_fake -0.000250
[823/5000][315/535][84794] Loss_D: -0.023610 Loss_G: 0.024627 Loss_D_real: -0.025537 Loss_D_fake -0.001926
[823/5000][320/535][84795] Loss_D: -0.023336 Loss_G: 0.025055 Loss_D_real: -0.022950 Loss_D_fake 0.000385
[823/5000][325/535][84796] Loss_D: -0.023512 Loss_G: -0.001291 Loss_D_real: -0.013422 Loss_D_fake 0.010090
[823/5000][330/535][84797] Loss_D: -0.023171 Loss_G: 0.019032 Loss_D_real: -0.025524 Loss_D_fake -0.002353
[823/5000][335/535][84798] Loss_D: -0.023997 Loss_G: -0.009450 Loss_D_real: -0.009639 Loss_D_fake 0.014358
[823/5000][340/535][84799] Loss_D: -0.022726 Loss_G: 0.010786 Loss_D_real: -0.026881 Loss_D_fake -0.004155
[823/5000][345/535][84800] Loss_D: -0.022670 Loss_G: -0.006301 Loss_D_real: 0.002602 Loss_D_fake 0.025272
[823/5000][350/535][84801] Loss_D: -0.021263 Loss_G: 0.020602 Loss_D_real: -0.027958 Loss_D_fake -0.006695
[823/5000][355/535][84802] Loss_D: -0.023143 Loss_G: -0.003038 Loss_D_real: -0.010858 Loss_D_fake 0.012286
[823/5000][360/535][84803] Loss_D: -0.022901 Loss_G: 0.012853 Loss_D_real: -0.025557 Loss_D_fake -0.002656
[823/5000][365/535][84804] Loss_D: -0.023740 Loss_G: 0.018440 Loss_D_real: -0.025239 Loss_D_fake -0.001499
[823/5000][370/535][84805] Loss_D: -0.024261 Loss_G: 0.013416 Loss_D_real: -0.020802 Loss_D_fake 0.003459
[823/5000][375/535][84806] Loss_D: -0.023603 Loss_G: 0.007617 Loss_D_real: -0.022999 Loss_D_fake 0.000605
[823/5000][380/535][84807] Loss_D: -0.023292 Loss_G: -0.003619 Loss_D_real: -0.009659 Loss_D_fake 0.013633
[823/5000][385/535][84808] Loss_D: -0.021791 Loss_G: 0.022405 Loss_D_real: -0.031490 Loss_D_fake -0.009699
[823/5000][390/535][84809] Loss_D: -0.022889 Loss_G: 0.025264 Loss_D_real: -0.020884 Loss_D_fake 0.002006
[823/5000][395/535][84810] Loss_D: -0.022549 Loss_G: 0.013098 Loss_D_real: -0.020759 Loss_D_fake 0.001790
[823/5000][400/535][84811] Loss_D: -0.023402 Loss_G: 0.001434 Loss_D_real: -0.016414 Loss_D_fake 0.006988
[823/5000][405/535][84812] Loss_D: -0.022914 Loss_G: 0.000175 Loss_D_real: -0.016480 Loss_D_fake 0.006433
[823/5000][410/535][84813] Loss_D: -0.024529 Loss_G: 0.014817 Loss_D_real: -0.024522 Loss_D_fake 0.000007
[823/5000][415/535][84814] Loss_D: -0.023070 Loss_G: 0.008255 Loss_D_real: -0.019754 Loss_D_fake 0.003317
[823/5000][420/535][84815] Loss_D: -0.025071 Loss_G: 0.000772 Loss_D_real: -0.016259 Loss_D_fake 0.008812
[823/5000][425/535][84816] Loss_D: -0.024757 Loss_G: 0.015335 Loss_D_real: -0.012571 Loss_D_fake 0.012186
[823/5000][430/535][84817] Loss_D: -0.022371 Loss_G: -0.002716 Loss_D_real: -0.006331 Loss_D_fake 0.016040
[823/5000][435/535][84818] Loss_D: -0.023663 Loss_G: 0.008197 Loss_D_real: -0.012440 Loss_D_fake 0.011223
[823/5000][440/535][84819] Loss_D: -0.023858 Loss_G: 0.022862 Loss_D_real: -0.030031 Loss_D_fake -0.006172
[823/5000][445/535][84820] Loss_D: -0.022969 Loss_G: -0.010463 Loss_D_real: -0.006937 Loss_D_fake 0.016032
[823/5000][450/535][84821] Loss_D: -0.022323 Loss_G: 0.018572 Loss_D_real: -0.019768 Loss_D_fake 0.002555
[823/5000][455/535][84822] Loss_D: -0.021824 Loss_G: -0.005747 Loss_D_real: 0.003461 Loss_D_fake 0.025285
[823/5000][460/535][84823] Loss_D: -0.022325 Loss_G: -0.009544 Loss_D_real: -0.007373 Loss_D_fake 0.014951
[823/5000][465/535][84824] Loss_D: -0.023475 Loss_G: 0.002883 Loss_D_real: -0.025066 Loss_D_fake -0.001591
[823/5000][470/535][84825] Loss_D: -0.023230 Loss_G: 0.001825 Loss_D_real: -0.016021 Loss_D_fake 0.007209
[823/5000][475/535][84826] Loss_D: -0.022831 Loss_G: 0.012072 Loss_D_real: -0.022276 Loss_D_fake 0.000556
[823/5000][480/535][84827] Loss_D: -0.022517 Loss_G: 0.005558 Loss_D_real: -0.016377 Loss_D_fake 0.006140
[823/5000][485/535][84828] Loss_D: -0.023156 Loss_G: 0.021513 Loss_D_real: -0.022708 Loss_D_fake 0.000448
[823/5000][490/535][84829] Loss_D: -0.023003 Loss_G: -0.001752 Loss_D_real: -0.000247 Loss_D_fake 0.022756
[823/5000][495/535][84830] Loss_D: -0.021960 Loss_G: 0.022316 Loss_D_real: -0.033408 Loss_D_fake -0.011449
[823/5000][500/535][84831] Loss_D: -0.022474 Loss_G: -0.005169 Loss_D_real: -0.017052 Loss_D_fake 0.005423
[823/5000][505/535][84832] Loss_D: -0.022803 Loss_G: 0.018377 Loss_D_real: -0.018999 Loss_D_fake 0.003804
[823/5000][510/535][84833] Loss_D: -0.021274 Loss_G: -0.000458 Loss_D_real: -0.023973 Loss_D_fake -0.002699
[823/5000][515/535][84834] Loss_D: -0.022970 Loss_G: 0.003308 Loss_D_real: -0.023351 Loss_D_fake -0.000381
[823/5000][520/535][84835] Loss_D: -0.023064 Loss_G: 0.022841 Loss_D_real: -0.026256 Loss_D_fake -0.003192
[823/5000][525/535][84836] Loss_D: -0.023158 Loss_G: -0.005271 Loss_D_real: -0.003893 Loss_D_fake 0.019265
[823/5000][530/535][84837] Loss_D: -0.023257 Loss_G: 0.016575 Loss_D_real: -0.027030 Loss_D_fake -0.003773
[823/5000][535/535][84838] Loss_D: -0.022709 Loss_G: 0.020609 Loss_D_real: -0.010456 Loss_D_fake 0.012253
[824/5000][5/535][84839] Loss_D: -0.023743 Loss_G: 0.013035 Loss_D_real: -0.022695 Loss_D_fake 0.001048
[824/5000][10/535][84840] Loss_D: -0.022998 Loss_G: 0.010125 Loss_D_real: -0.009605 Loss_D_fake 0.013393
[824/5000][15/535][84841] Loss_D: -0.022594 Loss_G: 0.013496 Loss_D_real: -0.019870 Loss_D_fake 0.002724
[824/5000][20/535][84842] Loss_D: -0.023471 Loss_G: -0.008687 Loss_D_real: -0.008754 Loss_D_fake 0.014718
[824/5000][25/535][84843] Loss_D: -0.021335 Loss_G: -0.020844 Loss_D_real: 0.001967 Loss_D_fake 0.023303
[824/5000][30/535][84844] Loss_D: -0.023115 Loss_G: 0.000431 Loss_D_real: -0.011075 Loss_D_fake 0.012040
[824/5000][35/535][84845] Loss_D: -0.021564 Loss_G: -0.002890 Loss_D_real: -0.011868 Loss_D_fake 0.009696
[824/5000][40/535][84846] Loss_D: -0.021895 Loss_G: 0.016669 Loss_D_real: -0.025797 Loss_D_fake -0.003902
[824/5000][45/535][84847] Loss_D: -0.023777 Loss_G: 0.007981 Loss_D_real: -0.018232 Loss_D_fake 0.005546
[824/5000][50/535][84848] Loss_D: -0.023336 Loss_G: -0.005765 Loss_D_real: -0.012379 Loss_D_fake 0.010957
[824/5000][55/535][84849] Loss_D: -0.022703 Loss_G: 0.025520 Loss_D_real: -0.023900 Loss_D_fake -0.001197
[824/5000][60/535][84850] Loss_D: -0.022965 Loss_G: 0.020455 Loss_D_real: -0.028486 Loss_D_fake -0.005521
[824/5000][65/535][84851] Loss_D: -0.023746 Loss_G: -0.006857 Loss_D_real: -0.013767 Loss_D_fake 0.009979
[824/5000][70/535][84852] Loss_D: -0.022830 Loss_G: -0.007444 Loss_D_real: -0.006809 Loss_D_fake 0.016021
[824/5000][75/535][84853] Loss_D: -0.022690 Loss_G: 0.011641 Loss_D_real: -0.023182 Loss_D_fake -0.000492
[824/5000][80/535][84854] Loss_D: -0.023055 Loss_G: 0.010373 Loss_D_real: -0.016987 Loss_D_fake 0.006067
[824/5000][85/535][84855] Loss_D: -0.022734 Loss_G: 0.009563 Loss_D_real: -0.023111 Loss_D_fake -0.000377
[824/5000][90/535][84856] Loss_D: -0.024309 Loss_G: 0.002001 Loss_D_real: -0.009209 Loss_D_fake 0.015099
[824/5000][95/535][84857] Loss_D: -0.021774 Loss_G: 0.016933 Loss_D_real: -0.024982 Loss_D_fake -0.003208
[824/5000][100/535][84858] Loss_D: -0.023502 Loss_G: -0.010281 Loss_D_real: -0.005631 Loss_D_fake 0.017871
[824/5000][105/535][84859] Loss_D: -0.022726 Loss_G: 0.014982 Loss_D_real: -0.022125 Loss_D_fake 0.000601
[824/5000][110/535][84860] Loss_D: -0.023863 Loss_G: 0.016653 Loss_D_real: -0.018343 Loss_D_fake 0.005520
[824/5000][115/535][84861] Loss_D: -0.023652 Loss_G: -0.003973 Loss_D_real: -0.001616 Loss_D_fake 0.022035
[824/5000][120/535][84862] Loss_D: -0.023965 Loss_G: -0.006352 Loss_D_real: -0.008201 Loss_D_fake 0.015764
[824/5000][125/535][84863] Loss_D: -0.023371 Loss_G: 0.019133 Loss_D_real: -0.019114 Loss_D_fake 0.004257
[824/5000][130/535][84864] Loss_D: -0.023461 Loss_G: 0.002278 Loss_D_real: -0.009217 Loss_D_fake 0.014244
[824/5000][135/535][84865] Loss_D: -0.022504 Loss_G: 0.008669 Loss_D_real: -0.023277 Loss_D_fake -0.000773
[824/5000][140/535][84866] Loss_D: -0.022980 Loss_G: 0.026875 Loss_D_real: -0.023859 Loss_D_fake -0.000879
[824/5000][145/535][84867] Loss_D: -0.023070 Loss_G: 0.017535 Loss_D_real: -0.018090 Loss_D_fake 0.004980
[824/5000][150/535][84868] Loss_D: -0.022392 Loss_G: 0.019062 Loss_D_real: -0.031830 Loss_D_fake -0.009437
[824/5000][155/535][84869] Loss_D: -0.024246 Loss_G: 0.002410 Loss_D_real: -0.018312 Loss_D_fake 0.005934
[824/5000][160/535][84870] Loss_D: -0.023164 Loss_G: 0.021264 Loss_D_real: -0.019398 Loss_D_fake 0.003766
[824/5000][165/535][84871] Loss_D: -0.023878 Loss_G: -0.002951 Loss_D_real: -0.016284 Loss_D_fake 0.007594
[824/5000][170/535][84872] Loss_D: -0.023541 Loss_G: -0.000307 Loss_D_real: -0.016732 Loss_D_fake 0.006809
[824/5000][175/535][84873] Loss_D: -0.023296 Loss_G: 0.018510 Loss_D_real: -0.026179 Loss_D_fake -0.002883
[824/5000][180/535][84874] Loss_D: -0.024508 Loss_G: -0.001724 Loss_D_real: -0.015432 Loss_D_fake 0.009076
[824/5000][185/535][84875] Loss_D: -0.023313 Loss_G: 0.001916 Loss_D_real: -0.021124 Loss_D_fake 0.002189
[824/5000][190/535][84876] Loss_D: -0.023889 Loss_G: 0.012753 Loss_D_real: -0.031685 Loss_D_fake -0.007796
[824/5000][195/535][84877] Loss_D: -0.024454 Loss_G: 0.012504 Loss_D_real: -0.024616 Loss_D_fake -0.000161
[824/5000][200/535][84878] Loss_D: -0.023779 Loss_G: 0.014647 Loss_D_real: -0.017354 Loss_D_fake 0.006425
[824/5000][205/535][84879] Loss_D: -0.023349 Loss_G: 0.021029 Loss_D_real: -0.034859 Loss_D_fake -0.011510
[824/5000][210/535][84880] Loss_D: -0.023106 Loss_G: -0.003564 Loss_D_real: -0.006945 Loss_D_fake 0.016161
[824/5000][215/535][84881] Loss_D: -0.022863 Loss_G: 0.016835 Loss_D_real: -0.029301 Loss_D_fake -0.006438
[824/5000][220/535][84882] Loss_D: -0.024375 Loss_G: 0.018395 Loss_D_real: -0.025946 Loss_D_fake -0.001570
[824/5000][225/535][84883] Loss_D: -0.023212 Loss_G: -0.001774 Loss_D_real: -0.014811 Loss_D_fake 0.008402
[824/5000][230/535][84884] Loss_D: -0.022973 Loss_G: -0.005192 Loss_D_real: -0.014057 Loss_D_fake 0.008916
[824/5000][235/535][84885] Loss_D: -0.023312 Loss_G: 0.019975 Loss_D_real: -0.025948 Loss_D_fake -0.002636
[824/5000][240/535][84886] Loss_D: -0.023210 Loss_G: -0.008488 Loss_D_real: -0.013864 Loss_D_fake 0.009346
[824/5000][245/535][84887] Loss_D: -0.023235 Loss_G: 0.010612 Loss_D_real: -0.017844 Loss_D_fake 0.005390
[824/5000][250/535][84888] Loss_D: -0.024187 Loss_G: -0.004111 Loss_D_real: -0.009135 Loss_D_fake 0.015052
[824/5000][255/535][84889] Loss_D: -0.025089 Loss_G: 0.013094 Loss_D_real: -0.025589 Loss_D_fake -0.000500
[824/5000][260/535][84890] Loss_D: -0.023200 Loss_G: 0.002032 Loss_D_real: -0.011407 Loss_D_fake 0.011793
[824/5000][265/535][84891] Loss_D: -0.024727 Loss_G: 0.007705 Loss_D_real: -0.030412 Loss_D_fake -0.005685
[824/5000][270/535][84892] Loss_D: -0.023677 Loss_G: 0.010222 Loss_D_real: -0.027215 Loss_D_fake -0.003538
[824/5000][275/535][84893] Loss_D: -0.024489 Loss_G: 0.008102 Loss_D_real: -0.009083 Loss_D_fake 0.015407
[824/5000][280/535][84894] Loss_D: -0.021061 Loss_G: 0.023237 Loss_D_real: -0.031185 Loss_D_fake -0.010123
[824/5000][285/535][84895] Loss_D: -0.022898 Loss_G: 0.003928 Loss_D_real: -0.014879 Loss_D_fake 0.008019
[824/5000][290/535][84896] Loss_D: -0.022701 Loss_G: 0.007730 Loss_D_real: -0.022272 Loss_D_fake 0.000429
[824/5000][295/535][84897] Loss_D: -0.022485 Loss_G: 0.015661 Loss_D_real: -0.021175 Loss_D_fake 0.001309
[824/5000][300/535][84898] Loss_D: -0.023553 Loss_G: 0.003874 Loss_D_real: -0.019943 Loss_D_fake 0.003610
[824/5000][305/535][84899] Loss_D: -0.020063 Loss_G: 0.035604 Loss_D_real: -0.028103 Loss_D_fake -0.008040
[824/5000][310/535][84900] Loss_D: -0.022836 Loss_G: -0.016171 Loss_D_real: 0.000684 Loss_D_fake 0.023521
[824/5000][315/535][84901] Loss_D: -0.022195 Loss_G: 0.010743 Loss_D_real: -0.027067 Loss_D_fake -0.004872
[824/5000][320/535][84902] Loss_D: -0.022678 Loss_G: 0.008982 Loss_D_real: -0.022389 Loss_D_fake 0.000289
[824/5000][325/535][84903] Loss_D: -0.022779 Loss_G: -0.012618 Loss_D_real: -0.010381 Loss_D_fake 0.012398
[824/5000][330/535][84904] Loss_D: -0.022225 Loss_G: 0.023093 Loss_D_real: -0.028781 Loss_D_fake -0.006556
[824/5000][335/535][84905] Loss_D: -0.022861 Loss_G: -0.007226 Loss_D_real: -0.002726 Loss_D_fake 0.020135
[824/5000][340/535][84906] Loss_D: -0.022968 Loss_G: 0.013228 Loss_D_real: -0.008501 Loss_D_fake 0.014467
[824/5000][345/535][84907] Loss_D: -0.023073 Loss_G: 0.008489 Loss_D_real: -0.021999 Loss_D_fake 0.001074
[824/5000][350/535][84908] Loss_D: -0.022336 Loss_G: -0.006737 Loss_D_real: -0.003850 Loss_D_fake 0.018486
[824/5000][355/535][84909] Loss_D: -0.023935 Loss_G: 0.022159 Loss_D_real: -0.029675 Loss_D_fake -0.005740
[824/5000][360/535][84910] Loss_D: -0.023144 Loss_G: 0.007334 Loss_D_real: -0.008481 Loss_D_fake 0.014663
[824/5000][365/535][84911] Loss_D: -0.021885 Loss_G: 0.028623 Loss_D_real: -0.038553 Loss_D_fake -0.016667
[824/5000][370/535][84912] Loss_D: -0.023380 Loss_G: 0.008309 Loss_D_real: -0.016550 Loss_D_fake 0.006830
[824/5000][375/535][84913] Loss_D: -0.023055 Loss_G: -0.006754 Loss_D_real: -0.013615 Loss_D_fake 0.009440
[824/5000][380/535][84914] Loss_D: -0.022356 Loss_G: 0.005163 Loss_D_real: -0.021930 Loss_D_fake 0.000426
[824/5000][385/535][84915] Loss_D: -0.023369 Loss_G: -0.000927 Loss_D_real: -0.016391 Loss_D_fake 0.006978
[824/5000][390/535][84916] Loss_D: -0.022290 Loss_G: 0.025626 Loss_D_real: -0.023954 Loss_D_fake -0.001664
[824/5000][395/535][84917] Loss_D: -0.023342 Loss_G: -0.001341 Loss_D_real: -0.002672 Loss_D_fake 0.020670
[824/5000][400/535][84918] Loss_D: -0.022968 Loss_G: -0.009291 Loss_D_real: -0.009997 Loss_D_fake 0.012971
[824/5000][405/535][84919] Loss_D: -0.023616 Loss_G: 0.019594 Loss_D_real: -0.029704 Loss_D_fake -0.006087
[824/5000][410/535][84920] Loss_D: -0.023318 Loss_G: 0.004780 Loss_D_real: -0.018701 Loss_D_fake 0.004617
[824/5000][415/535][84921] Loss_D: -0.024173 Loss_G: 0.005894 Loss_D_real: -0.005614 Loss_D_fake 0.018558
[824/5000][420/535][84922] Loss_D: -0.024072 Loss_G: 0.018152 Loss_D_real: -0.029319 Loss_D_fake -0.005247
[824/5000][425/535][84923] Loss_D: -0.025057 Loss_G: 0.005997 Loss_D_real: -0.018284 Loss_D_fake 0.006773
[824/5000][430/535][84924] Loss_D: -0.024239 Loss_G: 0.003216 Loss_D_real: -0.006872 Loss_D_fake 0.017367
[824/5000][435/535][84925] Loss_D: -0.024357 Loss_G: 0.019652 Loss_D_real: -0.022101 Loss_D_fake 0.002256
[824/5000][440/535][84926] Loss_D: -0.024047 Loss_G: 0.016253 Loss_D_real: -0.022864 Loss_D_fake 0.001183
[824/5000][445/535][84927] Loss_D: -0.022081 Loss_G: -0.009100 Loss_D_real: 0.006369 Loss_D_fake 0.028450
[824/5000][450/535][84928] Loss_D: -0.022994 Loss_G: 0.018151 Loss_D_real: -0.026934 Loss_D_fake -0.003940
[824/5000][455/535][84929] Loss_D: -0.021411 Loss_G: 0.013770 Loss_D_real: -0.024314 Loss_D_fake -0.002903
[824/5000][460/535][84930] Loss_D: -0.021622 Loss_G: 0.024569 Loss_D_real: -0.027690 Loss_D_fake -0.006068
[824/5000][465/535][84931] Loss_D: -0.024278 Loss_G: 0.012984 Loss_D_real: -0.019455 Loss_D_fake 0.004823
[824/5000][470/535][84932] Loss_D: -0.022989 Loss_G: 0.017220 Loss_D_real: -0.031602 Loss_D_fake -0.008614
[824/5000][475/535][84933] Loss_D: -0.023815 Loss_G: 0.014902 Loss_D_real: -0.035841 Loss_D_fake -0.012026
[824/5000][480/535][84934] Loss_D: -0.024003 Loss_G: 0.009500 Loss_D_real: -0.017738 Loss_D_fake 0.006265
[824/5000][485/535][84935] Loss_D: -0.024072 Loss_G: 0.020697 Loss_D_real: -0.020375 Loss_D_fake 0.003697
[824/5000][490/535][84936] Loss_D: -0.022558 Loss_G: 0.005090 Loss_D_real: -0.029109 Loss_D_fake -0.006551
[824/5000][495/535][84937] Loss_D: -0.022527 Loss_G: 0.012485 Loss_D_real: -0.017771 Loss_D_fake 0.004756
[824/5000][500/535][84938] Loss_D: -0.022605 Loss_G: 0.029686 Loss_D_real: -0.036575 Loss_D_fake -0.013970
[824/5000][505/535][84939] Loss_D: -0.023309 Loss_G: -0.009379 Loss_D_real: 0.001445 Loss_D_fake 0.024754
[824/5000][510/535][84940] Loss_D: -0.022942 Loss_G: 0.006597 Loss_D_real: -0.021019 Loss_D_fake 0.001924
[824/5000][515/535][84941] Loss_D: -0.023162 Loss_G: 0.004891 Loss_D_real: -0.014889 Loss_D_fake 0.008273
[824/5000][520/535][84942] Loss_D: -0.022005 Loss_G: 0.008030 Loss_D_real: -0.017829 Loss_D_fake 0.004176
[824/5000][525/535][84943] Loss_D: -0.022965 Loss_G: -0.001927 Loss_D_real: -0.008927 Loss_D_fake 0.014039
[824/5000][530/535][84944] Loss_D: -0.022058 Loss_G: 0.003981 Loss_D_real: -0.007810 Loss_D_fake 0.014248
[824/5000][535/535][84945] Loss_D: -0.020172 Loss_G: 0.003552 Loss_D_real: -0.013203 Loss_D_fake 0.006969
[825/5000][5/535][84946] Loss_D: -0.023814 Loss_G: 0.011692 Loss_D_real: -0.016364 Loss_D_fake 0.007449
[825/5000][10/535][84947] Loss_D: -0.022095 Loss_G: 0.024406 Loss_D_real: -0.018038 Loss_D_fake 0.004057
[825/5000][15/535][84948] Loss_D: -0.023655 Loss_G: 0.002513 Loss_D_real: -0.014876 Loss_D_fake 0.008780
[825/5000][20/535][84949] Loss_D: -0.024543 Loss_G: 0.017802 Loss_D_real: -0.022348 Loss_D_fake 0.002195
[825/5000][25/535][84950] Loss_D: -0.023199 Loss_G: 0.017000 Loss_D_real: -0.026185 Loss_D_fake -0.002985
[825/5000][30/535][84951] Loss_D: -0.023559 Loss_G: -0.008960 Loss_D_real: -0.012073 Loss_D_fake 0.011486
[825/5000][35/535][84952] Loss_D: -0.023811 Loss_G: 0.010225 Loss_D_real: -0.017173 Loss_D_fake 0.006638
[825/5000][40/535][84953] Loss_D: -0.022341 Loss_G: 0.012180 Loss_D_real: -0.022242 Loss_D_fake 0.000099
[825/5000][45/535][84954] Loss_D: -0.023549 Loss_G: 0.000336 Loss_D_real: -0.018964 Loss_D_fake 0.004585
[825/5000][50/535][84955] Loss_D: -0.023460 Loss_G: 0.024641 Loss_D_real: -0.027864 Loss_D_fake -0.004404
[825/5000][55/535][84956] Loss_D: -0.022737 Loss_G: 0.019302 Loss_D_real: -0.024668 Loss_D_fake -0.001931
[825/5000][60/535][84957] Loss_D: -0.023436 Loss_G: 0.000197 Loss_D_real: -0.008984 Loss_D_fake 0.014452
[825/5000][65/535][84958] Loss_D: -0.021845 Loss_G: 0.014003 Loss_D_real: -0.022845 Loss_D_fake -0.001000
[825/5000][70/535][84959] Loss_D: -0.024091 Loss_G: 0.017972 Loss_D_real: -0.022783 Loss_D_fake 0.001308
[825/5000][75/535][84960] Loss_D: -0.022464 Loss_G: 0.011185 Loss_D_real: -0.031718 Loss_D_fake -0.009254
[825/5000][80/535][84961] Loss_D: -0.022302 Loss_G: 0.033215 Loss_D_real: -0.036801 Loss_D_fake -0.014500
[825/5000][85/535][84962] Loss_D: -0.024741 Loss_G: -0.003014 Loss_D_real: -0.029787 Loss_D_fake -0.005046
[825/5000][90/535][84963] Loss_D: -0.024146 Loss_G: 0.025848 Loss_D_real: -0.018558 Loss_D_fake 0.005588
[825/5000][95/535][84964] Loss_D: -0.023881 Loss_G: 0.005480 Loss_D_real: -0.017152 Loss_D_fake 0.006729
[825/5000][100/535][84965] Loss_D: -0.025064 Loss_G: 0.015478 Loss_D_real: -0.019612 Loss_D_fake 0.005452
[825/5000][105/535][84966] Loss_D: -0.022045 Loss_G: 0.032325 Loss_D_real: -0.035947 Loss_D_fake -0.013902
[825/5000][110/535][84967] Loss_D: -0.022957 Loss_G: -0.006363 Loss_D_real: -0.015141 Loss_D_fake 0.007817
[825/5000][115/535][84968] Loss_D: -0.022435 Loss_G: 0.012724 Loss_D_real: -0.022202 Loss_D_fake 0.000233
[825/5000][120/535][84969] Loss_D: -0.023160 Loss_G: 0.007004 Loss_D_real: -0.019771 Loss_D_fake 0.003389
[825/5000][125/535][84970] Loss_D: -0.023873 Loss_G: 0.002860 Loss_D_real: -0.025140 Loss_D_fake -0.001267
[825/5000][130/535][84971] Loss_D: -0.023233 Loss_G: 0.009127 Loss_D_real: -0.020363 Loss_D_fake 0.002869
[825/5000][135/535][84972] Loss_D: -0.023919 Loss_G: 0.008975 Loss_D_real: -0.008698 Loss_D_fake 0.015221
[825/5000][140/535][84973] Loss_D: -0.023342 Loss_G: -0.002948 Loss_D_real: -0.008226 Loss_D_fake 0.015116
[825/5000][145/535][84974] Loss_D: -0.022357 Loss_G: 0.009152 Loss_D_real: -0.015435 Loss_D_fake 0.006922
[825/5000][150/535][84975] Loss_D: -0.024269 Loss_G: 0.000259 Loss_D_real: -0.017680 Loss_D_fake 0.006589
[825/5000][155/535][84976] Loss_D: -0.022918 Loss_G: 0.008119 Loss_D_real: -0.015152 Loss_D_fake 0.007765
[825/5000][160/535][84977] Loss_D: -0.023660 Loss_G: 0.016400 Loss_D_real: -0.032847 Loss_D_fake -0.009188
[825/5000][165/535][84978] Loss_D: -0.022866 Loss_G: 0.025000 Loss_D_real: -0.026410 Loss_D_fake -0.003543
[825/5000][170/535][84979] Loss_D: -0.023693 Loss_G: 0.017286 Loss_D_real: -0.018924 Loss_D_fake 0.004769
[825/5000][175/535][84980] Loss_D: -0.023891 Loss_G: 0.008979 Loss_D_real: -0.022060 Loss_D_fake 0.001831
[825/5000][180/535][84981] Loss_D: -0.023406 Loss_G: 0.001106 Loss_D_real: -0.012805 Loss_D_fake 0.010601
[825/5000][185/535][84982] Loss_D: -0.023206 Loss_G: -0.004002 Loss_D_real: -0.016609 Loss_D_fake 0.006597
[825/5000][190/535][84983] Loss_D: -0.023279 Loss_G: 0.022171 Loss_D_real: -0.028843 Loss_D_fake -0.005564
[825/5000][195/535][84984] Loss_D: -0.020443 Loss_G: 0.022635 Loss_D_real: -0.039208 Loss_D_fake -0.018765
[825/5000][200/535][84985] Loss_D: -0.023479 Loss_G: 0.026328 Loss_D_real: -0.018556 Loss_D_fake 0.004923
[825/5000][205/535][84986] Loss_D: -0.022356 Loss_G: 0.013366 Loss_D_real: -0.030450 Loss_D_fake -0.008095
[825/5000][210/535][84987] Loss_D: -0.022090 Loss_G: 0.023919 Loss_D_real: -0.024913 Loss_D_fake -0.002824
[825/5000][215/535][84988] Loss_D: -0.022505 Loss_G: 0.000853 Loss_D_real: -0.012041 Loss_D_fake 0.010464
[825/5000][220/535][84989] Loss_D: -0.022806 Loss_G: 0.000328 Loss_D_real: -0.009842 Loss_D_fake 0.012964
[825/5000][225/535][84990] Loss_D: -0.022319 Loss_G: -0.010701 Loss_D_real: -0.006729 Loss_D_fake 0.015591
[825/5000][230/535][84991] Loss_D: -0.022177 Loss_G: 0.008606 Loss_D_real: -0.026790 Loss_D_fake -0.004614
[825/5000][235/535][84992] Loss_D: -0.020829 Loss_G: 0.020412 Loss_D_real: -0.025484 Loss_D_fake -0.004655
[825/5000][240/535][84993] Loss_D: -0.022426 Loss_G: -0.008525 Loss_D_real: -0.012347 Loss_D_fake 0.010079
[825/5000][245/535][84994] Loss_D: -0.020962 Loss_G: 0.016334 Loss_D_real: -0.017407 Loss_D_fake 0.003554
[825/5000][250/535][84995] Loss_D: -0.025415 Loss_G: 0.009425 Loss_D_real: -0.013917 Loss_D_fake 0.011498
[825/5000][255/535][84996] Loss_D: -0.023446 Loss_G: 0.016331 Loss_D_real: -0.024858 Loss_D_fake -0.001412
[825/5000][260/535][84997] Loss_D: -0.024492 Loss_G: 0.009787 Loss_D_real: -0.012223 Loss_D_fake 0.012269
[825/5000][265/535][84998] Loss_D: -0.024684 Loss_G: 0.001218 Loss_D_real: -0.008795 Loss_D_fake 0.015889
[825/5000][270/535][84999] Loss_D: -0.022763 Loss_G: 0.016146 Loss_D_real: -0.021239 Loss_D_fake 0.001525
[825/5000][275/535][85000] Loss_D: -0.022016 Loss_G: -0.019063 Loss_D_real: 0.005683 Loss_D_fake 0.027699
[825/5000][375/535][85001] Loss_D: -0.024055 Loss_G: -0.008370 Loss_D_real: -0.010409 Loss_D_fake 0.013646
[825/5000][380/535][85002] Loss_D: -0.024384 Loss_G: -0.007040 Loss_D_real: -0.001426 Loss_D_fake 0.022959
[825/5000][385/535][85003] Loss_D: -0.020757 Loss_G: -0.007597 Loss_D_real: -0.016594 Loss_D_fake 0.004163
[825/5000][390/535][85004] Loss_D: -0.021280 Loss_G: -0.003795 Loss_D_real: -0.006797 Loss_D_fake 0.014484
[825/5000][395/535][85005] Loss_D: -0.022147 Loss_G: 0.014396 Loss_D_real: -0.016617 Loss_D_fake 0.005529
[825/5000][400/535][85006] Loss_D: -0.022081 Loss_G: 0.000241 Loss_D_real: -0.010594 Loss_D_fake 0.011487
[825/5000][405/535][85007] Loss_D: -0.023039 Loss_G: 0.013780 Loss_D_real: -0.013295 Loss_D_fake 0.009744
[825/5000][410/535][85008] Loss_D: -0.022203 Loss_G: 0.002707 Loss_D_real: -0.023670 Loss_D_fake -0.001467
[825/5000][415/535][85009] Loss_D: -0.024337 Loss_G: 0.009261 Loss_D_real: -0.015091 Loss_D_fake 0.009246
[825/5000][420/535][85010] Loss_D: -0.022084 Loss_G: -0.010830 Loss_D_real: -0.008898 Loss_D_fake 0.013186
[825/5000][425/535][85011] Loss_D: -0.022544 Loss_G: 0.004180 Loss_D_real: -0.015874 Loss_D_fake 0.006670
[825/5000][430/535][85012] Loss_D: -0.024128 Loss_G: 0.000319 Loss_D_real: -0.004085 Loss_D_fake 0.020043
[825/5000][435/535][85013] Loss_D: -0.022871 Loss_G: -0.002623 Loss_D_real: -0.030063 Loss_D_fake -0.007193
[825/5000][440/535][85014] Loss_D: -0.021873 Loss_G: 0.031998 Loss_D_real: -0.024802 Loss_D_fake -0.002929
[825/5000][445/535][85015] Loss_D: -0.023739 Loss_G: 0.013988 Loss_D_real: -0.013082 Loss_D_fake 0.010657
[825/5000][450/535][85016] Loss_D: -0.023287 Loss_G: 0.000258 Loss_D_real: -0.003020 Loss_D_fake 0.020267
[825/5000][455/535][85017] Loss_D: -0.022867 Loss_G: 0.012069 Loss_D_real: -0.024523 Loss_D_fake -0.001656
[825/5000][460/535][85018] Loss_D: -0.022976 Loss_G: 0.015753 Loss_D_real: -0.018466 Loss_D_fake 0.004510
[825/5000][465/535][85019] Loss_D: -0.022590 Loss_G: 0.011323 Loss_D_real: -0.016000 Loss_D_fake 0.006590
[825/5000][470/535][85020] Loss_D: -0.022069 Loss_G: -0.009581 Loss_D_real: -0.005359 Loss_D_fake 0.016710
[825/5000][475/535][85021] Loss_D: -0.023444 Loss_G: 0.010801 Loss_D_real: -0.021508 Loss_D_fake 0.001936
[825/5000][480/535][85022] Loss_D: -0.023700 Loss_G: 0.013370 Loss_D_real: -0.028343 Loss_D_fake -0.004643
[825/5000][485/535][85023] Loss_D: -0.024713 Loss_G: 0.001175 Loss_D_real: -0.013413 Loss_D_fake 0.011300
[825/5000][490/535][85024] Loss_D: -0.023791 Loss_G: 0.013283 Loss_D_real: -0.022937 Loss_D_fake 0.000854
[825/5000][495/535][85025] Loss_D: -0.022489 Loss_G: 0.008428 Loss_D_real: -0.019913 Loss_D_fake 0.002576
[825/5000][500/535][85026] Loss_D: -0.023312 Loss_G: 0.011022 Loss_D_real: -0.016350 Loss_D_fake 0.006961
[825/5000][505/535][85027] Loss_D: -0.024233 Loss_G: 0.014964 Loss_D_real: -0.022920 Loss_D_fake 0.001313
[825/5000][510/535][85028] Loss_D: -0.022668 Loss_G: -0.005830 Loss_D_real: -0.011414 Loss_D_fake 0.011255
[825/5000][515/535][85029] Loss_D: -0.022751 Loss_G: -0.001028 Loss_D_real: -0.022200 Loss_D_fake 0.000551
[825/5000][520/535][85030] Loss_D: -0.023605 Loss_G: 0.013291 Loss_D_real: -0.014857 Loss_D_fake 0.008749
[825/5000][525/535][85031] Loss_D: -0.021192 Loss_G: 0.021863 Loss_D_real: -0.027919 Loss_D_fake -0.006727
[825/5000][530/535][85032] Loss_D: -0.021299 Loss_G: 0.008547 Loss_D_real: -0.008303 Loss_D_fake 0.012996
[825/5000][535/535][85033] Loss_D: -0.023209 Loss_G: 0.007565 Loss_D_real: -0.020662 Loss_D_fake 0.002547
[826/5000][5/535][85034] Loss_D: -0.024005 Loss_G: 0.015411 Loss_D_real: -0.032534 Loss_D_fake -0.008530
[826/5000][10/535][85035] Loss_D: -0.023742 Loss_G: -0.003425 Loss_D_real: -0.012421 Loss_D_fake 0.011321
[826/5000][15/535][85036] Loss_D: -0.022567 Loss_G: 0.005191 Loss_D_real: -0.017109 Loss_D_fake 0.005458
[826/5000][20/535][85037] Loss_D: -0.023909 Loss_G: 0.029168 Loss_D_real: -0.027032 Loss_D_fake -0.003123
[826/5000][25/535][85038] Loss_D: -0.022533 Loss_G: -0.002289 Loss_D_real: -0.003274 Loss_D_fake 0.019259
[826/5000][30/535][85039] Loss_D: -0.021994 Loss_G: -0.007120 Loss_D_real: -0.017612 Loss_D_fake 0.004382
[826/5000][35/535][85040] Loss_D: -0.023491 Loss_G: -0.002394 Loss_D_real: -0.016490 Loss_D_fake 0.007000
[826/5000][40/535][85041] Loss_D: -0.023005 Loss_G: 0.004276 Loss_D_real: -0.002135 Loss_D_fake 0.020871
[826/5000][45/535][85042] Loss_D: -0.022832 Loss_G: 0.015780 Loss_D_real: -0.027958 Loss_D_fake -0.005126
[826/5000][50/535][85043] Loss_D: -0.022382 Loss_G: 0.002916 Loss_D_real: -0.002593 Loss_D_fake 0.019789
[826/5000][55/535][85044] Loss_D: -0.022620 Loss_G: 0.003418 Loss_D_real: -0.015984 Loss_D_fake 0.006636
[826/5000][60/535][85045] Loss_D: -0.022658 Loss_G: 0.011677 Loss_D_real: -0.020131 Loss_D_fake 0.002528
[826/5000][65/535][85046] Loss_D: -0.023350 Loss_G: 0.018339 Loss_D_real: -0.010998 Loss_D_fake 0.012353
[826/5000][70/535][85047] Loss_D: -0.022633 Loss_G: 0.016722 Loss_D_real: -0.012079 Loss_D_fake 0.010554
[826/5000][75/535][85048] Loss_D: -0.023179 Loss_G: 0.015168 Loss_D_real: -0.017849 Loss_D_fake 0.005330
[826/5000][80/535][85049] Loss_D: -0.023872 Loss_G: 0.008858 Loss_D_real: -0.023241 Loss_D_fake 0.000631
[826/5000][85/535][85050] Loss_D: -0.022710 Loss_G: 0.012935 Loss_D_real: -0.017797 Loss_D_fake 0.004913
[826/5000][90/535][85051] Loss_D: -0.023003 Loss_G: -0.015237 Loss_D_real: -0.010279 Loss_D_fake 0.012724
[826/5000][95/535][85052] Loss_D: -0.023951 Loss_G: 0.017900 Loss_D_real: -0.019977 Loss_D_fake 0.003974
[826/5000][100/535][85053] Loss_D: -0.023672 Loss_G: 0.011078 Loss_D_real: -0.028037 Loss_D_fake -0.004365
[826/5000][105/535][85054] Loss_D: -0.024676 Loss_G: 0.003296 Loss_D_real: -0.013145 Loss_D_fake 0.011531
[826/5000][110/535][85055] Loss_D: -0.022611 Loss_G: -0.009201 Loss_D_real: -0.001822 Loss_D_fake 0.020789
[826/5000][115/535][85056] Loss_D: -0.023865 Loss_G: 0.023935 Loss_D_real: -0.026688 Loss_D_fake -0.002823
[826/5000][120/535][85057] Loss_D: -0.024626 Loss_G: 0.010380 Loss_D_real: -0.017047 Loss_D_fake 0.007579
[826/5000][125/535][85058] Loss_D: -0.023667 Loss_G: 0.004379 Loss_D_real: -0.002696 Loss_D_fake 0.020971
[826/5000][130/535][85059] Loss_D: -0.022326 Loss_G: -0.005911 Loss_D_real: -0.011624 Loss_D_fake 0.010701
[826/5000][135/535][85060] Loss_D: -0.024898 Loss_G: 0.012681 Loss_D_real: -0.023763 Loss_D_fake 0.001135
[826/5000][140/535][85061] Loss_D: -0.023841 Loss_G: 0.023952 Loss_D_real: -0.025440 Loss_D_fake -0.001599
[826/5000][145/535][85062] Loss_D: -0.024757 Loss_G: 0.008873 Loss_D_real: -0.009991 Loss_D_fake 0.014765
[826/5000][150/535][85063] Loss_D: -0.024676 Loss_G: -0.004173 Loss_D_real: -0.023682 Loss_D_fake 0.000994
[826/5000][155/535][85064] Loss_D: -0.022890 Loss_G: -0.003177 Loss_D_real: -0.025707 Loss_D_fake -0.002817
[826/5000][160/535][85065] Loss_D: -0.021077 Loss_G: -0.011484 Loss_D_real: -0.009145 Loss_D_fake 0.011932
[826/5000][165/535][85066] Loss_D: -0.023109 Loss_G: 0.007730 Loss_D_real: -0.017024 Loss_D_fake 0.006085
[826/5000][170/535][85067] Loss_D: -0.023403 Loss_G: 0.013754 Loss_D_real: -0.013108 Loss_D_fake 0.010295
[826/5000][175/535][85068] Loss_D: -0.022101 Loss_G: 0.016087 Loss_D_real: -0.031815 Loss_D_fake -0.009713
[826/5000][180/535][85069] Loss_D: -0.024182 Loss_G: 0.019810 Loss_D_real: -0.033481 Loss_D_fake -0.009300
[826/5000][185/535][85070] Loss_D: -0.023971 Loss_G: 0.011898 Loss_D_real: -0.023200 Loss_D_fake 0.000771
[826/5000][190/535][85071] Loss_D: -0.023089 Loss_G: 0.024557 Loss_D_real: -0.026370 Loss_D_fake -0.003281
[826/5000][195/535][85072] Loss_D: -0.022036 Loss_G: -0.001488 Loss_D_real: -0.011465 Loss_D_fake 0.010571
[826/5000][200/535][85073] Loss_D: -0.022216 Loss_G: 0.017453 Loss_D_real: -0.032128 Loss_D_fake -0.009912
[826/5000][205/535][85074] Loss_D: -0.023825 Loss_G: -0.007596 Loss_D_real: -0.011899 Loss_D_fake 0.011926
[826/5000][210/535][85075] Loss_D: -0.023774 Loss_G: 0.007020 Loss_D_real: -0.015204 Loss_D_fake 0.008570
[826/5000][215/535][85076] Loss_D: -0.023326 Loss_G: 0.007304 Loss_D_real: -0.030728 Loss_D_fake -0.007402
[826/5000][220/535][85077] Loss_D: -0.022787 Loss_G: 0.012143 Loss_D_real: -0.016688 Loss_D_fake 0.006098
[826/5000][225/535][85078] Loss_D: -0.023081 Loss_G: -0.006630 Loss_D_real: -0.015523 Loss_D_fake 0.007558
[826/5000][230/535][85079] Loss_D: -0.022868 Loss_G: 0.023473 Loss_D_real: -0.026392 Loss_D_fake -0.003525
[826/5000][235/535][85080] Loss_D: -0.021951 Loss_G: 0.002979 Loss_D_real: -0.016275 Loss_D_fake 0.005676
[826/5000][240/535][85081] Loss_D: -0.021981 Loss_G: 0.029115 Loss_D_real: -0.028891 Loss_D_fake -0.006910
[826/5000][245/535][85082] Loss_D: -0.023092 Loss_G: 0.001817 Loss_D_real: -0.014129 Loss_D_fake 0.008963
[826/5000][250/535][85083] Loss_D: -0.022626 Loss_G: -0.010160 Loss_D_real: -0.010130 Loss_D_fake 0.012496
[826/5000][255/535][85084] Loss_D: -0.022827 Loss_G: -0.003894 Loss_D_real: -0.008970 Loss_D_fake 0.013857
[826/5000][260/535][85085] Loss_D: -0.021442 Loss_G: 0.025230 Loss_D_real: -0.024623 Loss_D_fake -0.003181
[826/5000][265/535][85086] Loss_D: -0.022988 Loss_G: 0.017665 Loss_D_real: -0.023895 Loss_D_fake -0.000907
[826/5000][270/535][85087] Loss_D: -0.021744 Loss_G: 0.008847 Loss_D_real: -0.025099 Loss_D_fake -0.003356
[826/5000][275/535][85088] Loss_D: -0.022247 Loss_G: 0.030276 Loss_D_real: -0.030389 Loss_D_fake -0.008142
[826/5000][280/535][85089] Loss_D: -0.022596 Loss_G: 0.023118 Loss_D_real: -0.023471 Loss_D_fake -0.000875
[826/5000][285/535][85090] Loss_D: -0.023688 Loss_G: -0.008698 Loss_D_real: -0.017165 Loss_D_fake 0.006523
[826/5000][290/535][85091] Loss_D: -0.023946 Loss_G: 0.010622 Loss_D_real: -0.022015 Loss_D_fake 0.001931
[826/5000][295/535][85092] Loss_D: -0.022093 Loss_G: 0.028371 Loss_D_real: -0.028496 Loss_D_fake -0.006402
[826/5000][300/535][85093] Loss_D: -0.022845 Loss_G: 0.026528 Loss_D_real: -0.037850 Loss_D_fake -0.015005
[826/5000][305/535][85094] Loss_D: -0.023406 Loss_G: 0.006797 Loss_D_real: -0.016329 Loss_D_fake 0.007076
[826/5000][310/535][85095] Loss_D: -0.023111 Loss_G: 0.004451 Loss_D_real: -0.018904 Loss_D_fake 0.004207
[826/5000][315/535][85096] Loss_D: -0.023668 Loss_G: 0.005779 Loss_D_real: -0.012752 Loss_D_fake 0.010916
[826/5000][320/535][85097] Loss_D: -0.023237 Loss_G: 0.005898 Loss_D_real: -0.006498 Loss_D_fake 0.016739
[826/5000][325/535][85098] Loss_D: -0.023715 Loss_G: 0.002755 Loss_D_real: -0.016842 Loss_D_fake 0.006873
[826/5000][330/535][85099] Loss_D: -0.023021 Loss_G: 0.018206 Loss_D_real: -0.019779 Loss_D_fake 0.003242
[826/5000][335/535][85100] Loss_D: -0.022437 Loss_G: 0.010067 Loss_D_real: -0.016665 Loss_D_fake 0.005772
[826/5000][340/535][85101] Loss_D: -0.025216 Loss_G: 0.003220 Loss_D_real: -0.024870 Loss_D_fake 0.000346
[826/5000][345/535][85102] Loss_D: -0.024436 Loss_G: -0.003827 Loss_D_real: -0.003090 Loss_D_fake 0.021346
[826/5000][350/535][85103] Loss_D: -0.024421 Loss_G: 0.003314 Loss_D_real: -0.012272 Loss_D_fake 0.012149
[826/5000][355/535][85104] Loss_D: -0.023085 Loss_G: 0.020142 Loss_D_real: -0.027638 Loss_D_fake -0.004553
[826/5000][360/535][85105] Loss_D: -0.023700 Loss_G: 0.001248 Loss_D_real: -0.016067 Loss_D_fake 0.007633
[826/5000][365/535][85106] Loss_D: -0.023401 Loss_G: 0.012943 Loss_D_real: -0.018111 Loss_D_fake 0.005290
[826/5000][370/535][85107] Loss_D: -0.022642 Loss_G: 0.004624 Loss_D_real: -0.018549 Loss_D_fake 0.004093
[826/5000][375/535][85108] Loss_D: -0.023166 Loss_G: 0.016974 Loss_D_real: -0.031285 Loss_D_fake -0.008119
[826/5000][380/535][85109] Loss_D: -0.021675 Loss_G: 0.035421 Loss_D_real: -0.028967 Loss_D_fake -0.007292
[826/5000][385/535][85110] Loss_D: -0.022970 Loss_G: -0.020494 Loss_D_real: -0.011999 Loss_D_fake 0.010971
[826/5000][390/535][85111] Loss_D: -0.023020 Loss_G: 0.015748 Loss_D_real: -0.023456 Loss_D_fake -0.000436
[826/5000][395/535][85112] Loss_D: -0.022690 Loss_G: -0.009294 Loss_D_real: -0.011304 Loss_D_fake 0.011386
[826/5000][400/535][85113] Loss_D: -0.021242 Loss_G: 0.029086 Loss_D_real: -0.029836 Loss_D_fake -0.008594
[826/5000][405/535][85114] Loss_D: -0.020067 Loss_G: -0.017788 Loss_D_real: 0.005043 Loss_D_fake 0.025110
[826/5000][410/535][85115] Loss_D: -0.022623 Loss_G: 0.008280 Loss_D_real: -0.012046 Loss_D_fake 0.010577
[826/5000][415/535][85116] Loss_D: -0.022714 Loss_G: 0.009518 Loss_D_real: -0.006652 Loss_D_fake 0.016062
[826/5000][420/535][85117] Loss_D: -0.023398 Loss_G: -0.002124 Loss_D_real: -0.017294 Loss_D_fake 0.006104
[826/5000][425/535][85118] Loss_D: -0.025310 Loss_G: 0.020629 Loss_D_real: -0.024473 Loss_D_fake 0.000837
[826/5000][430/535][85119] Loss_D: -0.022666 Loss_G: 0.013384 Loss_D_real: -0.017769 Loss_D_fake 0.004897
[826/5000][435/535][85120] Loss_D: -0.023706 Loss_G: 0.006011 Loss_D_real: -0.015016 Loss_D_fake 0.008690
[826/5000][440/535][85121] Loss_D: -0.023252 Loss_G: -0.005330 Loss_D_real: -0.016194 Loss_D_fake 0.007059
[826/5000][445/535][85122] Loss_D: -0.023578 Loss_G: 0.024448 Loss_D_real: -0.017068 Loss_D_fake 0.006510
[826/5000][450/535][85123] Loss_D: -0.021764 Loss_G: 0.005945 Loss_D_real: -0.026836 Loss_D_fake -0.005072
[826/5000][455/535][85124] Loss_D: -0.021469 Loss_G: 0.011561 Loss_D_real: -0.032702 Loss_D_fake -0.011233
[826/5000][460/535][85125] Loss_D: -0.024225 Loss_G: 0.012675 Loss_D_real: -0.017066 Loss_D_fake 0.007159
[826/5000][465/535][85126] Loss_D: -0.021876 Loss_G: 0.013815 Loss_D_real: -0.026691 Loss_D_fake -0.004815
[826/5000][470/535][85127] Loss_D: -0.022420 Loss_G: 0.004151 Loss_D_real: -0.011892 Loss_D_fake 0.010529
[826/5000][475/535][85128] Loss_D: -0.023525 Loss_G: 0.009468 Loss_D_real: -0.028983 Loss_D_fake -0.005458
[826/5000][480/535][85129] Loss_D: -0.021642 Loss_G: 0.002254 Loss_D_real: -0.005246 Loss_D_fake 0.016396
[826/5000][485/535][85130] Loss_D: -0.023971 Loss_G: 0.015921 Loss_D_real: -0.023866 Loss_D_fake 0.000105
[826/5000][490/535][85131] Loss_D: -0.023087 Loss_G: -0.021269 Loss_D_real: -0.001614 Loss_D_fake 0.021474
[826/5000][495/535][85132] Loss_D: -0.021364 Loss_G: 0.002560 Loss_D_real: -0.010339 Loss_D_fake 0.011024
[826/5000][500/535][85133] Loss_D: -0.023566 Loss_G: 0.009609 Loss_D_real: -0.013420 Loss_D_fake 0.010146
[826/5000][505/535][85134] Loss_D: -0.022712 Loss_G: 0.001109 Loss_D_real: -0.013641 Loss_D_fake 0.009071
[826/5000][510/535][85135] Loss_D: -0.024571 Loss_G: -0.005065 Loss_D_real: -0.011978 Loss_D_fake 0.012593
[826/5000][515/535][85136] Loss_D: -0.023113 Loss_G: 0.016663 Loss_D_real: -0.020001 Loss_D_fake 0.003111
[826/5000][520/535][85137] Loss_D: -0.022686 Loss_G: 0.009697 Loss_D_real: -0.019144 Loss_D_fake 0.003542
[826/5000][525/535][85138] Loss_D: -0.021818 Loss_G: -0.005791 Loss_D_real: -0.003303 Loss_D_fake 0.018515
[826/5000][530/535][85139] Loss_D: -0.023868 Loss_G: 0.023888 Loss_D_real: -0.019155 Loss_D_fake 0.004713
[826/5000][535/535][85140] Loss_D: -0.019609 Loss_G: 0.002280 Loss_D_real: -0.015886 Loss_D_fake 0.003723
[827/5000][5/535][85141] Loss_D: -0.022992 Loss_G: 0.012063 Loss_D_real: -0.014079 Loss_D_fake 0.008913
[827/5000][10/535][85142] Loss_D: -0.022019 Loss_G: -0.010281 Loss_D_real: -0.004939 Loss_D_fake 0.017081
[827/5000][15/535][85143] Loss_D: -0.021410 Loss_G: 0.009474 Loss_D_real: -0.024692 Loss_D_fake -0.003282
[827/5000][20/535][85144] Loss_D: -0.023589 Loss_G: 0.001467 Loss_D_real: -0.018475 Loss_D_fake 0.005114
[827/5000][25/535][85145] Loss_D: -0.023472 Loss_G: -0.001807 Loss_D_real: -0.021548 Loss_D_fake 0.001924
[827/5000][30/535][85146] Loss_D: -0.023390 Loss_G: 0.038098 Loss_D_real: -0.028126 Loss_D_fake -0.004736
[827/5000][35/535][85147] Loss_D: -0.024339 Loss_G: 0.005318 Loss_D_real: -0.006273 Loss_D_fake 0.018066
[827/5000][40/535][85148] Loss_D: -0.022338 Loss_G: 0.007200 Loss_D_real: -0.012095 Loss_D_fake 0.010242
[827/5000][45/535][85149] Loss_D: -0.025505 Loss_G: 0.008635 Loss_D_real: -0.013503 Loss_D_fake 0.012002
[827/5000][50/535][85150] Loss_D: -0.023610 Loss_G: 0.025412 Loss_D_real: -0.033308 Loss_D_fake -0.009697
[827/5000][55/535][85151] Loss_D: -0.025756 Loss_G: 0.012884 Loss_D_real: -0.023151 Loss_D_fake 0.002605
[827/5000][60/535][85152] Loss_D: -0.024934 Loss_G: 0.001045 Loss_D_real: -0.012625 Loss_D_fake 0.012309
[827/5000][65/535][85153] Loss_D: -0.023159 Loss_G: 0.017792 Loss_D_real: -0.022688 Loss_D_fake 0.000472
[827/5000][70/535][85154] Loss_D: -0.023444 Loss_G: 0.019174 Loss_D_real: -0.026357 Loss_D_fake -0.002914
[827/5000][75/535][85155] Loss_D: -0.022739 Loss_G: 0.005283 Loss_D_real: -0.014140 Loss_D_fake 0.008598
[827/5000][80/535][85156] Loss_D: -0.022579 Loss_G: 0.015790 Loss_D_real: -0.023103 Loss_D_fake -0.000524
[827/5000][85/535][85157] Loss_D: -0.022995 Loss_G: 0.009965 Loss_D_real: -0.021696 Loss_D_fake 0.001299
[827/5000][90/535][85158] Loss_D: -0.024258 Loss_G: 0.006772 Loss_D_real: -0.023362 Loss_D_fake 0.000896
[827/5000][95/535][85159] Loss_D: -0.023308 Loss_G: 0.003751 Loss_D_real: -0.025479 Loss_D_fake -0.002171
[827/5000][100/535][85160] Loss_D: -0.023280 Loss_G: -0.016151 Loss_D_real: -0.008949 Loss_D_fake 0.014331
[827/5000][105/535][85161] Loss_D: -0.022886 Loss_G: 0.011911 Loss_D_real: -0.014073 Loss_D_fake 0.008813
[827/5000][110/535][85162] Loss_D: -0.023156 Loss_G: 0.003610 Loss_D_real: -0.012429 Loss_D_fake 0.010728
[827/5000][115/535][85163] Loss_D: -0.020594 Loss_G: 0.025852 Loss_D_real: -0.033157 Loss_D_fake -0.012563
[827/5000][120/535][85164] Loss_D: -0.022662 Loss_G: 0.003898 Loss_D_real: -0.020521 Loss_D_fake 0.002141
[827/5000][125/535][85165] Loss_D: -0.020822 Loss_G: -0.003666 Loss_D_real: -0.013960 Loss_D_fake 0.006863
[827/5000][130/535][85166] Loss_D: -0.023630 Loss_G: 0.014317 Loss_D_real: -0.021498 Loss_D_fake 0.002133
[827/5000][135/535][85167] Loss_D: -0.021945 Loss_G: 0.009054 Loss_D_real: -0.020858 Loss_D_fake 0.001087
[827/5000][140/535][85168] Loss_D: -0.022945 Loss_G: 0.006905 Loss_D_real: -0.015587 Loss_D_fake 0.007358
[827/5000][145/535][85169] Loss_D: -0.021332 Loss_G: -0.018703 Loss_D_real: -0.001097 Loss_D_fake 0.020236
[827/5000][150/535][85170] Loss_D: -0.021926 Loss_G: -0.007202 Loss_D_real: -0.015104 Loss_D_fake 0.006823
[827/5000][155/535][85171] Loss_D: -0.022745 Loss_G: 0.004872 Loss_D_real: -0.022043 Loss_D_fake 0.000703
[827/5000][160/535][85172] Loss_D: -0.022070 Loss_G: 0.020429 Loss_D_real: -0.021302 Loss_D_fake 0.000768
[827/5000][165/535][85173] Loss_D: -0.023678 Loss_G: 0.019737 Loss_D_real: -0.027372 Loss_D_fake -0.003694
[827/5000][170/535][85174] Loss_D: -0.023009 Loss_G: 0.017259 Loss_D_real: -0.020761 Loss_D_fake 0.002249
[827/5000][175/535][85175] Loss_D: -0.023419 Loss_G: -0.004175 Loss_D_real: -0.011218 Loss_D_fake 0.012202
[827/5000][180/535][85176] Loss_D: -0.022352 Loss_G: 0.007690 Loss_D_real: -0.015714 Loss_D_fake 0.006638
[827/5000][185/535][85177] Loss_D: -0.023695 Loss_G: 0.015037 Loss_D_real: -0.017109 Loss_D_fake 0.006586
[827/5000][190/535][85178] Loss_D: -0.022821 Loss_G: 0.005484 Loss_D_real: -0.023575 Loss_D_fake -0.000754
[827/5000][195/535][85179] Loss_D: -0.024158 Loss_G: -0.001600 Loss_D_real: -0.016316 Loss_D_fake 0.007842
[827/5000][200/535][85180] Loss_D: -0.022521 Loss_G: 0.035097 Loss_D_real: -0.035550 Loss_D_fake -0.013029
[827/5000][205/535][85181] Loss_D: -0.023493 Loss_G: -0.006506 Loss_D_real: -0.008576 Loss_D_fake 0.014917
[827/5000][210/535][85182] Loss_D: -0.023526 Loss_G: 0.021020 Loss_D_real: -0.033749 Loss_D_fake -0.010223
[827/5000][215/535][85183] Loss_D: -0.022555 Loss_G: 0.028848 Loss_D_real: -0.036333 Loss_D_fake -0.013779
[827/5000][220/535][85184] Loss_D: -0.024792 Loss_G: 0.015426 Loss_D_real: -0.026960 Loss_D_fake -0.002169
[827/5000][225/535][85185] Loss_D: -0.025263 Loss_G: -0.000736 Loss_D_real: -0.003278 Loss_D_fake 0.021985
[827/5000][230/535][85186] Loss_D: -0.024095 Loss_G: -0.000255 Loss_D_real: -0.018388 Loss_D_fake 0.005706
[827/5000][235/535][85187] Loss_D: -0.023785 Loss_G: 0.028029 Loss_D_real: -0.020577 Loss_D_fake 0.003209
[827/5000][240/535][85188] Loss_D: -0.024711 Loss_G: 0.003020 Loss_D_real: -0.016264 Loss_D_fake 0.008447
[827/5000][245/535][85189] Loss_D: -0.023016 Loss_G: 0.024865 Loss_D_real: -0.031893 Loss_D_fake -0.008876
[827/5000][250/535][85190] Loss_D: -0.023770 Loss_G: 0.023004 Loss_D_real: -0.028097 Loss_D_fake -0.004327
[827/5000][255/535][85191] Loss_D: -0.022709 Loss_G: -0.002031 Loss_D_real: -0.005001 Loss_D_fake 0.017707
[827/5000][260/535][85192] Loss_D: -0.024279 Loss_G: 0.017510 Loss_D_real: -0.026514 Loss_D_fake -0.002236
[827/5000][265/535][85193] Loss_D: -0.023439 Loss_G: -0.012028 Loss_D_real: -0.005069 Loss_D_fake 0.018370
[827/5000][270/535][85194] Loss_D: -0.021739 Loss_G: 0.016651 Loss_D_real: -0.026817 Loss_D_fake -0.005077
[827/5000][275/535][85195] Loss_D: -0.022922 Loss_G: -0.012150 Loss_D_real: -0.002162 Loss_D_fake 0.020760
[827/5000][280/535][85196] Loss_D: -0.022754 Loss_G: 0.002691 Loss_D_real: -0.008075 Loss_D_fake 0.014680
[827/5000][285/535][85197] Loss_D: -0.022443 Loss_G: 0.024767 Loss_D_real: -0.030139 Loss_D_fake -0.007696
[827/5000][290/535][85198] Loss_D: -0.022496 Loss_G: 0.020169 Loss_D_real: -0.020541 Loss_D_fake 0.001955
[827/5000][295/535][85199] Loss_D: -0.024479 Loss_G: 0.009828 Loss_D_real: -0.012100 Loss_D_fake 0.012379
[827/5000][300/535][85200] Loss_D: -0.023831 Loss_G: 0.019087 Loss_D_real: -0.022654 Loss_D_fake 0.001177
[827/5000][305/535][85201] Loss_D: -0.024201 Loss_G: -0.000509 Loss_D_real: -0.028228 Loss_D_fake -0.004027
[827/5000][310/535][85202] Loss_D: -0.022177 Loss_G: 0.004265 Loss_D_real: -0.017033 Loss_D_fake 0.005144
[827/5000][315/535][85203] Loss_D: -0.022373 Loss_G: -0.002140 Loss_D_real: -0.016658 Loss_D_fake 0.005715
[827/5000][320/535][85204] Loss_D: -0.022777 Loss_G: 0.004127 Loss_D_real: -0.021535 Loss_D_fake 0.001242
[827/5000][325/535][85205] Loss_D: -0.024168 Loss_G: 0.011208 Loss_D_real: -0.012837 Loss_D_fake 0.011331
[827/5000][330/535][85206] Loss_D: -0.020659 Loss_G: 0.029545 Loss_D_real: -0.034289 Loss_D_fake -0.013630
[827/5000][335/535][85207] Loss_D: -0.022434 Loss_G: 0.011896 Loss_D_real: -0.016849 Loss_D_fake 0.005586
[827/5000][340/535][85208] Loss_D: -0.022855 Loss_G: 0.003224 Loss_D_real: -0.021714 Loss_D_fake 0.001141
[827/5000][345/535][85209] Loss_D: -0.022697 Loss_G: -0.005973 Loss_D_real: -0.004666 Loss_D_fake 0.018031
[827/5000][350/535][85210] Loss_D: -0.022652 Loss_G: 0.005766 Loss_D_real: -0.025678 Loss_D_fake -0.003026
[827/5000][355/535][85211] Loss_D: -0.022584 Loss_G: 0.019194 Loss_D_real: -0.027222 Loss_D_fake -0.004638
[827/5000][360/535][85212] Loss_D: -0.021541 Loss_G: 0.021176 Loss_D_real: -0.035701 Loss_D_fake -0.014160
[827/5000][365/535][85213] Loss_D: -0.023071 Loss_G: -0.008382 Loss_D_real: -0.007523 Loss_D_fake 0.015548
[827/5000][370/535][85214] Loss_D: -0.021827 Loss_G: 0.008587 Loss_D_real: -0.015689 Loss_D_fake 0.006138
[827/5000][375/535][85215] Loss_D: -0.023156 Loss_G: 0.010346 Loss_D_real: -0.013859 Loss_D_fake 0.009297
[827/5000][380/535][85216] Loss_D: -0.022884 Loss_G: -0.001868 Loss_D_real: -0.008424 Loss_D_fake 0.014460
[827/5000][385/535][85217] Loss_D: -0.022981 Loss_G: 0.015999 Loss_D_real: -0.017755 Loss_D_fake 0.005225
[827/5000][390/535][85218] Loss_D: -0.022028 Loss_G: 0.011172 Loss_D_real: -0.033918 Loss_D_fake -0.011890
[827/5000][395/535][85219] Loss_D: -0.023622 Loss_G: 0.004836 Loss_D_real: -0.032136 Loss_D_fake -0.008514
[827/5000][400/535][85220] Loss_D: -0.023994 Loss_G: 0.010511 Loss_D_real: -0.023310 Loss_D_fake 0.000684
[827/5000][405/535][85221] Loss_D: -0.022968 Loss_G: 0.015996 Loss_D_real: -0.018580 Loss_D_fake 0.004388
[827/5000][410/535][85222] Loss_D: -0.023124 Loss_G: 0.008811 Loss_D_real: -0.010747 Loss_D_fake 0.012376
[827/5000][415/535][85223] Loss_D: -0.024383 Loss_G: 0.003695 Loss_D_real: -0.024286 Loss_D_fake 0.000097
[827/5000][420/535][85224] Loss_D: -0.022375 Loss_G: 0.022828 Loss_D_real: -0.025830 Loss_D_fake -0.003456
[827/5000][425/535][85225] Loss_D: -0.024578 Loss_G: 0.012325 Loss_D_real: -0.029644 Loss_D_fake -0.005065
[827/5000][430/535][85226] Loss_D: -0.025170 Loss_G: 0.010034 Loss_D_real: -0.016513 Loss_D_fake 0.008658
[827/5000][435/535][85227] Loss_D: -0.024646 Loss_G: 0.016074 Loss_D_real: -0.022263 Loss_D_fake 0.002383
[827/5000][440/535][85228] Loss_D: -0.023757 Loss_G: 0.019392 Loss_D_real: -0.021952 Loss_D_fake 0.001805
[827/5000][445/535][85229] Loss_D: -0.023774 Loss_G: -0.009878 Loss_D_real: -0.015295 Loss_D_fake 0.008479
[827/5000][450/535][85230] Loss_D: -0.023670 Loss_G: 0.011644 Loss_D_real: -0.023639 Loss_D_fake 0.000031
[827/5000][455/535][85231] Loss_D: -0.023924 Loss_G: 0.004487 Loss_D_real: -0.018225 Loss_D_fake 0.005699
[827/5000][460/535][85232] Loss_D: -0.022701 Loss_G: 0.001385 Loss_D_real: -0.013273 Loss_D_fake 0.009428
[827/5000][465/535][85233] Loss_D: -0.023095 Loss_G: 0.005337 Loss_D_real: -0.024526 Loss_D_fake -0.001431
[827/5000][470/535][85234] Loss_D: -0.024089 Loss_G: 0.012055 Loss_D_real: -0.011403 Loss_D_fake 0.012687
[827/5000][475/535][85235] Loss_D: -0.023113 Loss_G: 0.015245 Loss_D_real: -0.020759 Loss_D_fake 0.002354
[827/5000][480/535][85236] Loss_D: -0.022771 Loss_G: 0.004607 Loss_D_real: -0.012419 Loss_D_fake 0.010351
[827/5000][485/535][85237] Loss_D: -0.022764 Loss_G: 0.007658 Loss_D_real: -0.021912 Loss_D_fake 0.000853
[827/5000][490/535][85238] Loss_D: -0.023817 Loss_G: -0.014653 Loss_D_real: -0.012358 Loss_D_fake 0.011459
[827/5000][495/535][85239] Loss_D: -0.022607 Loss_G: 0.028351 Loss_D_real: -0.029944 Loss_D_fake -0.007337
[827/5000][500/535][85240] Loss_D: -0.022230 Loss_G: -0.002936 Loss_D_real: -0.007510 Loss_D_fake 0.014721
[827/5000][505/535][85241] Loss_D: -0.023721 Loss_G: 0.004839 Loss_D_real: -0.011162 Loss_D_fake 0.012560
[827/5000][510/535][85242] Loss_D: -0.022761 Loss_G: 0.002228 Loss_D_real: -0.009174 Loss_D_fake 0.013587
[827/5000][515/535][85243] Loss_D: -0.023562 Loss_G: 0.011809 Loss_D_real: -0.018573 Loss_D_fake 0.004989
[827/5000][520/535][85244] Loss_D: -0.021198 Loss_G: -0.012215 Loss_D_real: -0.000246 Loss_D_fake 0.020952
[827/5000][525/535][85245] Loss_D: -0.023736 Loss_G: -0.000307 Loss_D_real: -0.011028 Loss_D_fake 0.012708
[827/5000][530/535][85246] Loss_D: -0.023594 Loss_G: 0.014513 Loss_D_real: -0.018847 Loss_D_fake 0.004747
[827/5000][535/535][85247] Loss_D: -0.020738 Loss_G: 0.044862 Loss_D_real: -0.033560 Loss_D_fake -0.012822
[828/5000][5/535][85248] Loss_D: -0.023382 Loss_G: -0.010482 Loss_D_real: -0.019621 Loss_D_fake 0.003762
[828/5000][10/535][85249] Loss_D: -0.022410 Loss_G: 0.002528 Loss_D_real: -0.020060 Loss_D_fake 0.002349
[828/5000][15/535][85250] Loss_D: -0.020928 Loss_G: 0.020686 Loss_D_real: -0.032799 Loss_D_fake -0.011871
[828/5000][20/535][85251] Loss_D: -0.021473 Loss_G: 0.013981 Loss_D_real: -0.017073 Loss_D_fake 0.004400
[828/5000][25/535][85252] Loss_D: -0.024050 Loss_G: 0.002168 Loss_D_real: -0.013437 Loss_D_fake 0.010613
[828/5000][30/535][85253] Loss_D: -0.022965 Loss_G: -0.006099 Loss_D_real: -0.013617 Loss_D_fake 0.009348
[828/5000][35/535][85254] Loss_D: -0.022364 Loss_G: 0.016241 Loss_D_real: -0.023363 Loss_D_fake -0.000999
[828/5000][40/535][85255] Loss_D: -0.023408 Loss_G: 0.010867 Loss_D_real: -0.020084 Loss_D_fake 0.003323
[828/5000][45/535][85256] Loss_D: -0.024687 Loss_G: 0.001305 Loss_D_real: -0.019298 Loss_D_fake 0.005388
[828/5000][50/535][85257] Loss_D: -0.024585 Loss_G: 0.026526 Loss_D_real: -0.025202 Loss_D_fake -0.000617
[828/5000][55/535][85258] Loss_D: -0.023933 Loss_G: -0.005753 Loss_D_real: -0.017481 Loss_D_fake 0.006452
[828/5000][60/535][85259] Loss_D: -0.023097 Loss_G: 0.006124 Loss_D_real: -0.015110 Loss_D_fake 0.007987
[828/5000][65/535][85260] Loss_D: -0.021261 Loss_G: 0.010221 Loss_D_real: -0.021690 Loss_D_fake -0.000428
[828/5000][70/535][85261] Loss_D: -0.025290 Loss_G: 0.024581 Loss_D_real: -0.024884 Loss_D_fake 0.000406
[828/5000][75/535][85262] Loss_D: -0.023399 Loss_G: -0.001155 Loss_D_real: -0.021249 Loss_D_fake 0.002150
[828/5000][80/535][85263] Loss_D: -0.023002 Loss_G: 0.010251 Loss_D_real: -0.017475 Loss_D_fake 0.005527
[828/5000][85/535][85264] Loss_D: -0.024421 Loss_G: 0.015460 Loss_D_real: -0.017609 Loss_D_fake 0.006812
[828/5000][90/535][85265] Loss_D: -0.023259 Loss_G: 0.013655 Loss_D_real: -0.016347 Loss_D_fake 0.006911
[828/5000][95/535][85266] Loss_D: -0.023928 Loss_G: 0.001143 Loss_D_real: -0.008659 Loss_D_fake 0.015269
[828/5000][100/535][85267] Loss_D: -0.021273 Loss_G: 0.021103 Loss_D_real: -0.030527 Loss_D_fake -0.009254
[828/5000][105/535][85268] Loss_D: -0.023091 Loss_G: 0.015825 Loss_D_real: -0.025025 Loss_D_fake -0.001934
[828/5000][110/535][85269] Loss_D: -0.023301 Loss_G: 0.006702 Loss_D_real: -0.021287 Loss_D_fake 0.002015
[828/5000][115/535][85270] Loss_D: -0.021694 Loss_G: -0.000221 Loss_D_real: -0.016331 Loss_D_fake 0.005362
[828/5000][120/535][85271] Loss_D: -0.022033 Loss_G: -0.003487 Loss_D_real: -0.017865 Loss_D_fake 0.004168
[828/5000][125/535][85272] Loss_D: -0.023169 Loss_G: 0.022015 Loss_D_real: -0.018447 Loss_D_fake 0.004722
[828/5000][130/535][85273] Loss_D: -0.021427 Loss_G: 0.010831 Loss_D_real: -0.023315 Loss_D_fake -0.001888
[828/5000][135/535][85274] Loss_D: -0.022021 Loss_G: -0.018156 Loss_D_real: -0.011585 Loss_D_fake 0.010436
[828/5000][140/535][85275] Loss_D: -0.021114 Loss_G: -0.014942 Loss_D_real: -0.005609 Loss_D_fake 0.015505
[828/5000][145/535][85276] Loss_D: -0.021257 Loss_G: 0.002895 Loss_D_real: -0.015550 Loss_D_fake 0.005707
[828/5000][150/535][85277] Loss_D: -0.022288 Loss_G: 0.013860 Loss_D_real: -0.032038 Loss_D_fake -0.009751
[828/5000][155/535][85278] Loss_D: -0.024049 Loss_G: 0.015589 Loss_D_real: -0.023388 Loss_D_fake 0.000660
[828/5000][160/535][85279] Loss_D: -0.023370 Loss_G: 0.010376 Loss_D_real: -0.015120 Loss_D_fake 0.008251
[828/5000][165/535][85280] Loss_D: -0.022729 Loss_G: 0.011685 Loss_D_real: -0.028465 Loss_D_fake -0.005736
[828/5000][170/535][85281] Loss_D: -0.022909 Loss_G: -0.001012 Loss_D_real: -0.008002 Loss_D_fake 0.014908
[828/5000][175/535][85282] Loss_D: -0.022821 Loss_G: 0.001956 Loss_D_real: -0.022525 Loss_D_fake 0.000296
[828/5000][180/535][85283] Loss_D: -0.023851 Loss_G: -0.009595 Loss_D_real: -0.005721 Loss_D_fake 0.018131
[828/5000][185/535][85284] Loss_D: -0.021583 Loss_G: 0.017681 Loss_D_real: -0.027193 Loss_D_fake -0.005610
[828/5000][190/535][85285] Loss_D: -0.024543 Loss_G: -0.009477 Loss_D_real: -0.013802 Loss_D_fake 0.010742
[828/5000][195/535][85286] Loss_D: -0.024925 Loss_G: 0.009860 Loss_D_real: -0.010743 Loss_D_fake 0.014181
[828/5000][200/535][85287] Loss_D: -0.023633 Loss_G: 0.012586 Loss_D_real: -0.028328 Loss_D_fake -0.004695
[828/5000][205/535][85288] Loss_D: -0.022354 Loss_G: 0.005911 Loss_D_real: -0.025562 Loss_D_fake -0.003208
[828/5000][210/535][85289] Loss_D: -0.024312 Loss_G: 0.010106 Loss_D_real: -0.019414 Loss_D_fake 0.004898
[828/5000][215/535][85290] Loss_D: -0.023208 Loss_G: -0.010110 Loss_D_real: -0.008691 Loss_D_fake 0.014517
[828/5000][220/535][85291] Loss_D: -0.024643 Loss_G: 0.022061 Loss_D_real: -0.020850 Loss_D_fake 0.003793
[828/5000][225/535][85292] Loss_D: -0.023487 Loss_G: 0.023144 Loss_D_real: -0.024342 Loss_D_fake -0.000855
[828/5000][230/535][85293] Loss_D: -0.023927 Loss_G: 0.017674 Loss_D_real: -0.021103 Loss_D_fake 0.002824
[828/5000][235/535][85294] Loss_D: -0.021918 Loss_G: -0.009404 Loss_D_real: -0.016336 Loss_D_fake 0.005581
[828/5000][240/535][85295] Loss_D: -0.023083 Loss_G: -0.000561 Loss_D_real: -0.014897 Loss_D_fake 0.008186
[828/5000][245/535][85296] Loss_D: -0.021946 Loss_G: 0.016494 Loss_D_real: -0.025886 Loss_D_fake -0.003939
[828/5000][250/535][85297] Loss_D: -0.024206 Loss_G: 0.017888 Loss_D_real: -0.022096 Loss_D_fake 0.002110
[828/5000][255/535][85298] Loss_D: -0.021118 Loss_G: 0.026349 Loss_D_real: -0.035146 Loss_D_fake -0.014028
[828/5000][260/535][85299] Loss_D: -0.023606 Loss_G: -0.005044 Loss_D_real: -0.026352 Loss_D_fake -0.002746
[828/5000][265/535][85300] Loss_D: -0.023517 Loss_G: 0.002009 Loss_D_real: -0.022956 Loss_D_fake 0.000561
[828/5000][270/535][85301] Loss_D: -0.021750 Loss_G: 0.024400 Loss_D_real: -0.024949 Loss_D_fake -0.003199
[828/5000][275/535][85302] Loss_D: -0.021967 Loss_G: -0.005603 Loss_D_real: -0.001625 Loss_D_fake 0.020342
[828/5000][280/535][85303] Loss_D: -0.023732 Loss_G: 0.018036 Loss_D_real: -0.028545 Loss_D_fake -0.004813
[828/5000][285/535][85304] Loss_D: -0.022851 Loss_G: 0.021777 Loss_D_real: -0.032160 Loss_D_fake -0.009308
[828/5000][290/535][85305] Loss_D: -0.022412 Loss_G: -0.009201 Loss_D_real: -0.023596 Loss_D_fake -0.001184
[828/5000][295/535][85306] Loss_D: -0.022211 Loss_G: 0.006156 Loss_D_real: -0.017519 Loss_D_fake 0.004692
[828/5000][300/535][85307] Loss_D: -0.022078 Loss_G: 0.004296 Loss_D_real: -0.011186 Loss_D_fake 0.010892
[828/5000][305/535][85308] Loss_D: -0.022558 Loss_G: -0.002406 Loss_D_real: -0.006237 Loss_D_fake 0.016321
[828/5000][310/535][85309] Loss_D: -0.022039 Loss_G: 0.006946 Loss_D_real: -0.022172 Loss_D_fake -0.000134
[828/5000][315/535][85310] Loss_D: -0.022655 Loss_G: 0.012348 Loss_D_real: -0.024022 Loss_D_fake -0.001367
[828/5000][320/535][85311] Loss_D: -0.021081 Loss_G: -0.009083 Loss_D_real: -0.015939 Loss_D_fake 0.005142
[828/5000][325/535][85312] Loss_D: -0.022643 Loss_G: 0.013043 Loss_D_real: -0.016196 Loss_D_fake 0.006447
[828/5000][330/535][85313] Loss_D: -0.024508 Loss_G: 0.020492 Loss_D_real: -0.025122 Loss_D_fake -0.000614
[828/5000][335/535][85314] Loss_D: -0.023393 Loss_G: 0.009218 Loss_D_real: -0.019213 Loss_D_fake 0.004180
[828/5000][340/535][85315] Loss_D: -0.023902 Loss_G: 0.006402 Loss_D_real: -0.014826 Loss_D_fake 0.009076
[828/5000][345/535][85316] Loss_D: -0.023600 Loss_G: 0.006708 Loss_D_real: -0.017433 Loss_D_fake 0.006168
[828/5000][350/535][85317] Loss_D: -0.024632 Loss_G: 0.011015 Loss_D_real: -0.027462 Loss_D_fake -0.002830
[828/5000][355/535][85318] Loss_D: -0.024643 Loss_G: 0.010208 Loss_D_real: -0.019276 Loss_D_fake 0.005367
[828/5000][360/535][85319] Loss_D: -0.024244 Loss_G: 0.004497 Loss_D_real: -0.015736 Loss_D_fake 0.008507
[828/5000][365/535][85320] Loss_D: -0.021974 Loss_G: 0.023521 Loss_D_real: -0.031040 Loss_D_fake -0.009066
[828/5000][370/535][85321] Loss_D: -0.022904 Loss_G: -0.001018 Loss_D_real: -0.013053 Loss_D_fake 0.009851
[828/5000][375/535][85322] Loss_D: -0.021796 Loss_G: -0.012799 Loss_D_real: -0.001194 Loss_D_fake 0.020602
[828/5000][380/535][85323] Loss_D: -0.020616 Loss_G: 0.020463 Loss_D_real: -0.021166 Loss_D_fake -0.000549
[828/5000][385/535][85324] Loss_D: -0.023377 Loss_G: 0.016103 Loss_D_real: -0.026403 Loss_D_fake -0.003027
[828/5000][390/535][85325] Loss_D: -0.022886 Loss_G: -0.005903 Loss_D_real: 0.002296 Loss_D_fake 0.025182
[828/5000][395/535][85326] Loss_D: -0.020921 Loss_G: 0.009916 Loss_D_real: -0.027400 Loss_D_fake -0.006479
[828/5000][400/535][85327] Loss_D: -0.022577 Loss_G: 0.025231 Loss_D_real: -0.025970 Loss_D_fake -0.003393
[828/5000][405/535][85328] Loss_D: -0.022260 Loss_G: 0.012743 Loss_D_real: -0.025916 Loss_D_fake -0.003656
[828/5000][410/535][85329] Loss_D: -0.024590 Loss_G: 0.017237 Loss_D_real: -0.022273 Loss_D_fake 0.002317
[828/5000][415/535][85330] Loss_D: -0.024601 Loss_G: 0.013433 Loss_D_real: -0.024577 Loss_D_fake 0.000024
[828/5000][420/535][85331] Loss_D: -0.024578 Loss_G: 0.009968 Loss_D_real: -0.022786 Loss_D_fake 0.001792
[828/5000][425/535][85332] Loss_D: -0.024014 Loss_G: -0.006531 Loss_D_real: -0.017161 Loss_D_fake 0.006854
[828/5000][430/535][85333] Loss_D: -0.021866 Loss_G: 0.018117 Loss_D_real: -0.029879 Loss_D_fake -0.008013
[828/5000][435/535][85334] Loss_D: -0.023608 Loss_G: 0.008834 Loss_D_real: -0.022168 Loss_D_fake 0.001439
[828/5000][440/535][85335] Loss_D: -0.022639 Loss_G: 0.006887 Loss_D_real: -0.012367 Loss_D_fake 0.010272
[828/5000][445/535][85336] Loss_D: -0.023698 Loss_G: 0.009451 Loss_D_real: -0.021828 Loss_D_fake 0.001871
[828/5000][450/535][85337] Loss_D: -0.022780 Loss_G: 0.025854 Loss_D_real: -0.034102 Loss_D_fake -0.011321
[828/5000][455/535][85338] Loss_D: -0.022108 Loss_G: -0.012315 Loss_D_real: -0.009886 Loss_D_fake 0.012221
[828/5000][460/535][85339] Loss_D: -0.023011 Loss_G: 0.013830 Loss_D_real: -0.024458 Loss_D_fake -0.001447
[828/5000][465/535][85340] Loss_D: -0.024569 Loss_G: -0.004459 Loss_D_real: -0.013716 Loss_D_fake 0.010854
[828/5000][470/535][85341] Loss_D: -0.023893 Loss_G: 0.008364 Loss_D_real: -0.015541 Loss_D_fake 0.008352
[828/5000][475/535][85342] Loss_D: -0.022193 Loss_G: 0.018579 Loss_D_real: -0.028750 Loss_D_fake -0.006557
[828/5000][480/535][85343] Loss_D: -0.022555 Loss_G: -0.006209 Loss_D_real: -0.014058 Loss_D_fake 0.008497
[828/5000][485/535][85344] Loss_D: -0.023275 Loss_G: 0.032266 Loss_D_real: -0.018070 Loss_D_fake 0.005205
[828/5000][490/535][85345] Loss_D: -0.023463 Loss_G: 0.004121 Loss_D_real: -0.005151 Loss_D_fake 0.018312
[828/5000][495/535][85346] Loss_D: -0.022862 Loss_G: 0.015243 Loss_D_real: -0.024043 Loss_D_fake -0.001182
[828/5000][500/535][85347] Loss_D: -0.023185 Loss_G: 0.019007 Loss_D_real: -0.023523 Loss_D_fake -0.000338
[828/5000][505/535][85348] Loss_D: -0.022574 Loss_G: -0.003296 Loss_D_real: -0.020601 Loss_D_fake 0.001973
[828/5000][510/535][85349] Loss_D: -0.023387 Loss_G: 0.027045 Loss_D_real: -0.030666 Loss_D_fake -0.007279
[828/5000][515/535][85350] Loss_D: -0.022976 Loss_G: 0.006693 Loss_D_real: -0.011946 Loss_D_fake 0.011030
[828/5000][520/535][85351] Loss_D: -0.023069 Loss_G: 0.030921 Loss_D_real: -0.024583 Loss_D_fake -0.001515
[828/5000][525/535][85352] Loss_D: -0.023518 Loss_G: 0.015788 Loss_D_real: -0.032638 Loss_D_fake -0.009120
[828/5000][530/535][85353] Loss_D: -0.024507 Loss_G: -0.002612 Loss_D_real: -0.009493 Loss_D_fake 0.015014
[828/5000][535/535][85354] Loss_D: -0.024808 Loss_G: 0.019400 Loss_D_real: -0.019227 Loss_D_fake 0.005581
[829/5000][5/535][85355] Loss_D: -0.021892 Loss_G: 0.012634 Loss_D_real: -0.015021 Loss_D_fake 0.006870
[829/5000][10/535][85356] Loss_D: -0.022323 Loss_G: 0.003875 Loss_D_real: -0.012733 Loss_D_fake 0.009590
[829/5000][15/535][85357] Loss_D: -0.023670 Loss_G: 0.004004 Loss_D_real: -0.015873 Loss_D_fake 0.007796
[829/5000][20/535][85358] Loss_D: -0.021615 Loss_G: 0.024871 Loss_D_real: -0.040089 Loss_D_fake -0.018475
[829/5000][25/535][85359] Loss_D: -0.024492 Loss_G: 0.010067 Loss_D_real: -0.018748 Loss_D_fake 0.005744
[829/5000][30/535][85360] Loss_D: -0.023745 Loss_G: 0.016674 Loss_D_real: -0.020328 Loss_D_fake 0.003417
[829/5000][35/535][85361] Loss_D: -0.023576 Loss_G: -0.000985 Loss_D_real: -0.005258 Loss_D_fake 0.018318
[829/5000][40/535][85362] Loss_D: -0.022657 Loss_G: 0.016601 Loss_D_real: -0.023175 Loss_D_fake -0.000518
[829/5000][45/535][85363] Loss_D: -0.022275 Loss_G: 0.029263 Loss_D_real: -0.037547 Loss_D_fake -0.015272
[829/5000][50/535][85364] Loss_D: -0.021861 Loss_G: -0.004326 Loss_D_real: -0.015684 Loss_D_fake 0.006176
[829/5000][55/535][85365] Loss_D: -0.022342 Loss_G: -0.001691 Loss_D_real: -0.007519 Loss_D_fake 0.014822
[829/5000][60/535][85366] Loss_D: -0.022502 Loss_G: 0.010757 Loss_D_real: -0.023893 Loss_D_fake -0.001391
[829/5000][65/535][85367] Loss_D: -0.022033 Loss_G: 0.027705 Loss_D_real: -0.031331 Loss_D_fake -0.009298
[829/5000][70/535][85368] Loss_D: -0.024546 Loss_G: 0.000841 Loss_D_real: -0.021800 Loss_D_fake 0.002746
[829/5000][75/535][85369] Loss_D: -0.022040 Loss_G: 0.021964 Loss_D_real: -0.031940 Loss_D_fake -0.009900
[829/5000][80/535][85370] Loss_D: -0.022493 Loss_G: 0.008809 Loss_D_real: -0.025834 Loss_D_fake -0.003342
[829/5000][85/535][85371] Loss_D: -0.023600 Loss_G: 0.016874 Loss_D_real: -0.025428 Loss_D_fake -0.001828
[829/5000][90/535][85372] Loss_D: -0.022977 Loss_G: 0.015108 Loss_D_real: -0.017523 Loss_D_fake 0.005454
[829/5000][95/535][85373] Loss_D: -0.023778 Loss_G: -0.003275 Loss_D_real: -0.014600 Loss_D_fake 0.009178
[829/5000][100/535][85374] Loss_D: -0.021321 Loss_G: 0.001478 Loss_D_real: -0.007041 Loss_D_fake 0.014279
[829/5000][105/535][85375] Loss_D: -0.023093 Loss_G: 0.020348 Loss_D_real: -0.028898 Loss_D_fake -0.005805
[829/5000][110/535][85376] Loss_D: -0.021291 Loss_G: 0.007871 Loss_D_real: -0.024454 Loss_D_fake -0.003163
[829/5000][115/535][85377] Loss_D: -0.023725 Loss_G: 0.010815 Loss_D_real: -0.022486 Loss_D_fake 0.001239
[829/5000][120/535][85378] Loss_D: -0.024436 Loss_G: 0.001603 Loss_D_real: -0.006826 Loss_D_fake 0.017610
[829/5000][125/535][85379] Loss_D: -0.023745 Loss_G: 0.014701 Loss_D_real: -0.014609 Loss_D_fake 0.009137
[829/5000][130/535][85380] Loss_D: -0.022596 Loss_G: 0.000520 Loss_D_real: -0.021892 Loss_D_fake 0.000705
[829/5000][135/535][85381] Loss_D: -0.022459 Loss_G: 0.020902 Loss_D_real: -0.021837 Loss_D_fake 0.000622
[829/5000][140/535][85382] Loss_D: -0.023361 Loss_G: 0.019873 Loss_D_real: -0.027551 Loss_D_fake -0.004190
[829/5000][145/535][85383] Loss_D: -0.023588 Loss_G: 0.016667 Loss_D_real: -0.027054 Loss_D_fake -0.003466
[829/5000][150/535][85384] Loss_D: -0.022767 Loss_G: 0.019894 Loss_D_real: -0.036560 Loss_D_fake -0.013793
[829/5000][155/535][85385] Loss_D: -0.023027 Loss_G: -0.014155 Loss_D_real: -0.000884 Loss_D_fake 0.022143
[829/5000][160/535][85386] Loss_D: -0.023459 Loss_G: -0.006362 Loss_D_real: -0.006225 Loss_D_fake 0.017233
[829/5000][165/535][85387] Loss_D: -0.023150 Loss_G: -0.009060 Loss_D_real: 0.003343 Loss_D_fake 0.026493
[829/5000][170/535][85388] Loss_D: -0.024159 Loss_G: 0.000171 Loss_D_real: -0.012470 Loss_D_fake 0.011689
[829/5000][175/535][85389] Loss_D: -0.022838 Loss_G: -0.010872 Loss_D_real: -0.001968 Loss_D_fake 0.020870
[829/5000][180/535][85390] Loss_D: -0.022179 Loss_G: -0.002185 Loss_D_real: -0.010054 Loss_D_fake 0.012126
[829/5000][185/535][85391] Loss_D: -0.024278 Loss_G: 0.019143 Loss_D_real: -0.011177 Loss_D_fake 0.013100
[829/5000][190/535][85392] Loss_D: -0.023012 Loss_G: 0.013727 Loss_D_real: -0.012762 Loss_D_fake 0.010250
[829/5000][195/535][85393] Loss_D: -0.022948 Loss_G: -0.003561 Loss_D_real: -0.009313 Loss_D_fake 0.013634
[829/5000][200/535][85394] Loss_D: -0.022945 Loss_G: 0.016096 Loss_D_real: -0.031791 Loss_D_fake -0.008846
[829/5000][205/535][85395] Loss_D: -0.023468 Loss_G: -0.006163 Loss_D_real: -0.014837 Loss_D_fake 0.008632
[829/5000][210/535][85396] Loss_D: -0.021693 Loss_G: 0.031652 Loss_D_real: -0.037517 Loss_D_fake -0.015824
[829/5000][215/535][85397] Loss_D: -0.022320 Loss_G: -0.000309 Loss_D_real: -0.009366 Loss_D_fake 0.012954
[829/5000][220/535][85398] Loss_D: -0.022772 Loss_G: 0.007050 Loss_D_real: -0.011542 Loss_D_fake 0.011229
[829/5000][225/535][85399] Loss_D: -0.021954 Loss_G: -0.001315 Loss_D_real: -0.007904 Loss_D_fake 0.014050
[829/5000][230/535][85400] Loss_D: -0.022609 Loss_G: 0.017701 Loss_D_real: -0.036631 Loss_D_fake -0.014022
[829/5000][235/535][85401] Loss_D: -0.023000 Loss_G: 0.004021 Loss_D_real: -0.011714 Loss_D_fake 0.011286
[829/5000][240/535][85402] Loss_D: -0.022379 Loss_G: -0.016936 Loss_D_real: -0.012647 Loss_D_fake 0.009732
[829/5000][245/535][85403] Loss_D: -0.023854 Loss_G: -0.001404 Loss_D_real: -0.012164 Loss_D_fake 0.011690
[829/5000][250/535][85404] Loss_D: -0.022104 Loss_G: 0.001585 Loss_D_real: -0.015531 Loss_D_fake 0.006573
[829/5000][255/535][85405] Loss_D: -0.024446 Loss_G: 0.010676 Loss_D_real: -0.012906 Loss_D_fake 0.011540
[829/5000][260/535][85406] Loss_D: -0.023035 Loss_G: -0.010324 Loss_D_real: -0.006022 Loss_D_fake 0.017013
[829/5000][265/535][85407] Loss_D: -0.022109 Loss_G: 0.029121 Loss_D_real: -0.032025 Loss_D_fake -0.009916
[829/5000][270/535][85408] Loss_D: -0.023775 Loss_G: 0.010344 Loss_D_real: -0.019341 Loss_D_fake 0.004434
[829/5000][275/535][85409] Loss_D: -0.021853 Loss_G: 0.011954 Loss_D_real: -0.018477 Loss_D_fake 0.003377
[829/5000][280/535][85410] Loss_D: -0.023524 Loss_G: 0.026660 Loss_D_real: -0.028667 Loss_D_fake -0.005143
[829/5000][285/535][85411] Loss_D: -0.022348 Loss_G: -0.019341 Loss_D_real: -0.002161 Loss_D_fake 0.020187
[829/5000][290/535][85412] Loss_D: -0.022076 Loss_G: 0.018615 Loss_D_real: -0.029099 Loss_D_fake -0.007023
[829/5000][295/535][85413] Loss_D: -0.023408 Loss_G: 0.001719 Loss_D_real: -0.016805 Loss_D_fake 0.006604
[829/5000][300/535][85414] Loss_D: -0.023344 Loss_G: 0.010094 Loss_D_real: -0.021980 Loss_D_fake 0.001363
[829/5000][305/535][85415] Loss_D: -0.023355 Loss_G: 0.015491 Loss_D_real: -0.020324 Loss_D_fake 0.003031
[829/5000][310/535][85416] Loss_D: -0.024702 Loss_G: 0.009085 Loss_D_real: -0.022253 Loss_D_fake 0.002448
[829/5000][315/535][85417] Loss_D: -0.024412 Loss_G: -0.005096 Loss_D_real: -0.021580 Loss_D_fake 0.002832
[829/5000][320/535][85418] Loss_D: -0.023639 Loss_G: -0.001055 Loss_D_real: -0.014156 Loss_D_fake 0.009484
[829/5000][325/535][85419] Loss_D: -0.023557 Loss_G: 0.024433 Loss_D_real: -0.018538 Loss_D_fake 0.005019
[829/5000][330/535][85420] Loss_D: -0.023769 Loss_G: 0.000152 Loss_D_real: -0.010738 Loss_D_fake 0.013031
[829/5000][335/535][85421] Loss_D: -0.022527 Loss_G: -0.016771 Loss_D_real: -0.006010 Loss_D_fake 0.016517
[829/5000][340/535][85422] Loss_D: -0.022396 Loss_G: -0.007250 Loss_D_real: -0.015891 Loss_D_fake 0.006505
[829/5000][345/535][85423] Loss_D: -0.022980 Loss_G: 0.022462 Loss_D_real: -0.032361 Loss_D_fake -0.009381
[829/5000][350/535][85424] Loss_D: -0.022414 Loss_G: 0.018177 Loss_D_real: -0.020728 Loss_D_fake 0.001686
[829/5000][355/535][85425] Loss_D: -0.023806 Loss_G: 0.002669 Loss_D_real: -0.022434 Loss_D_fake 0.001372
[829/5000][360/535][85426] Loss_D: -0.023988 Loss_G: 0.012922 Loss_D_real: -0.012687 Loss_D_fake 0.011301
[829/5000][365/535][85427] Loss_D: -0.024815 Loss_G: 0.008054 Loss_D_real: -0.021318 Loss_D_fake 0.003497
[829/5000][370/535][85428] Loss_D: -0.022952 Loss_G: 0.019465 Loss_D_real: -0.025468 Loss_D_fake -0.002516
[829/5000][375/535][85429] Loss_D: -0.023543 Loss_G: 0.012355 Loss_D_real: -0.022644 Loss_D_fake 0.000899
[829/5000][380/535][85430] Loss_D: -0.023139 Loss_G: 0.004481 Loss_D_real: -0.012462 Loss_D_fake 0.010677
[829/5000][385/535][85431] Loss_D: -0.022065 Loss_G: -0.000798 Loss_D_real: -0.019919 Loss_D_fake 0.002146
[829/5000][390/535][85432] Loss_D: -0.025257 Loss_G: 0.002268 Loss_D_real: -0.018313 Loss_D_fake 0.006944
[829/5000][395/535][85433] Loss_D: -0.022916 Loss_G: 0.009832 Loss_D_real: -0.008386 Loss_D_fake 0.014530
[829/5000][400/535][85434] Loss_D: -0.020987 Loss_G: 0.023649 Loss_D_real: -0.038464 Loss_D_fake -0.017477
[829/5000][405/535][85435] Loss_D: -0.022234 Loss_G: 0.018213 Loss_D_real: -0.032244 Loss_D_fake -0.010010
[829/5000][410/535][85436] Loss_D: -0.023612 Loss_G: -0.009802 Loss_D_real: -0.008242 Loss_D_fake 0.015371
[829/5000][415/535][85437] Loss_D: -0.022299 Loss_G: 0.000254 Loss_D_real: -0.011403 Loss_D_fake 0.010895
[829/5000][420/535][85438] Loss_D: -0.022368 Loss_G: 0.011812 Loss_D_real: -0.030192 Loss_D_fake -0.007824
[829/5000][425/535][85439] Loss_D: -0.022991 Loss_G: 0.025315 Loss_D_real: -0.024552 Loss_D_fake -0.001561
[829/5000][430/535][85440] Loss_D: -0.023139 Loss_G: 0.011237 Loss_D_real: -0.019997 Loss_D_fake 0.003142
[829/5000][435/535][85441] Loss_D: -0.022582 Loss_G: 0.013735 Loss_D_real: -0.026127 Loss_D_fake -0.003545
[829/5000][440/535][85442] Loss_D: -0.023641 Loss_G: 0.007712 Loss_D_real: -0.021164 Loss_D_fake 0.002477
[829/5000][445/535][85443] Loss_D: -0.023539 Loss_G: -0.001323 Loss_D_real: -0.011325 Loss_D_fake 0.012214
[829/5000][450/535][85444] Loss_D: -0.023296 Loss_G: -0.016511 Loss_D_real: -0.011103 Loss_D_fake 0.012193
[829/5000][455/535][85445] Loss_D: -0.023027 Loss_G: 0.016008 Loss_D_real: -0.024202 Loss_D_fake -0.001175
[829/5000][460/535][85446] Loss_D: -0.022430 Loss_G: 0.000921 Loss_D_real: -0.014274 Loss_D_fake 0.008156
[829/5000][465/535][85447] Loss_D: -0.023421 Loss_G: 0.014440 Loss_D_real: -0.025406 Loss_D_fake -0.001985
[829/5000][470/535][85448] Loss_D: -0.023353 Loss_G: -0.014272 Loss_D_real: -0.002546 Loss_D_fake 0.020807
[829/5000][475/535][85449] Loss_D: -0.022718 Loss_G: -0.006588 Loss_D_real: -0.009072 Loss_D_fake 0.013646
[829/5000][480/535][85450] Loss_D: -0.024177 Loss_G: 0.005222 Loss_D_real: -0.026122 Loss_D_fake -0.001945
[829/5000][485/535][85451] Loss_D: -0.023516 Loss_G: 0.020556 Loss_D_real: -0.034314 Loss_D_fake -0.010799
[829/5000][490/535][85452] Loss_D: -0.023820 Loss_G: -0.000939 Loss_D_real: -0.012933 Loss_D_fake 0.010887
[829/5000][495/535][85453] Loss_D: -0.024113 Loss_G: 0.026807 Loss_D_real: -0.019315 Loss_D_fake 0.004798
[829/5000][500/535][85454] Loss_D: -0.023887 Loss_G: 0.019027 Loss_D_real: -0.031311 Loss_D_fake -0.007424
[829/5000][505/535][85455] Loss_D: -0.023738 Loss_G: -0.005494 Loss_D_real: -0.009719 Loss_D_fake 0.014019
[829/5000][510/535][85456] Loss_D: -0.023039 Loss_G: 0.014841 Loss_D_real: -0.020950 Loss_D_fake 0.002089
[829/5000][515/535][85457] Loss_D: -0.023265 Loss_G: 0.000612 Loss_D_real: -0.017347 Loss_D_fake 0.005918
[829/5000][520/535][85458] Loss_D: -0.023013 Loss_G: 0.008601 Loss_D_real: -0.020533 Loss_D_fake 0.002480
[829/5000][525/535][85459] Loss_D: -0.022637 Loss_G: 0.022559 Loss_D_real: -0.041215 Loss_D_fake -0.018578
[829/5000][530/535][85460] Loss_D: -0.023882 Loss_G: 0.001832 Loss_D_real: -0.003689 Loss_D_fake 0.020193
[829/5000][535/535][85461] Loss_D: -0.023091 Loss_G: 0.029855 Loss_D_real: -0.022121 Loss_D_fake 0.000970
[830/5000][5/535][85462] Loss_D: -0.023019 Loss_G: 0.004916 Loss_D_real: -0.018034 Loss_D_fake 0.004986
[830/5000][10/535][85463] Loss_D: -0.024023 Loss_G: 0.016288 Loss_D_real: -0.023195 Loss_D_fake 0.000827
[830/5000][15/535][85464] Loss_D: -0.022223 Loss_G: 0.021167 Loss_D_real: -0.030411 Loss_D_fake -0.008188
[830/5000][20/535][85465] Loss_D: -0.022305 Loss_G: -0.008090 Loss_D_real: -0.010531 Loss_D_fake 0.011775
[830/5000][25/535][85466] Loss_D: -0.021968 Loss_G: 0.012871 Loss_D_real: -0.029378 Loss_D_fake -0.007409
[830/5000][30/535][85467] Loss_D: -0.023727 Loss_G: 0.001922 Loss_D_real: -0.007753 Loss_D_fake 0.015974
[830/5000][35/535][85468] Loss_D: -0.023769 Loss_G: -0.004894 Loss_D_real: -0.001054 Loss_D_fake 0.022714
[830/5000][40/535][85469] Loss_D: -0.022554 Loss_G: 0.015662 Loss_D_real: -0.029926 Loss_D_fake -0.007371
[830/5000][45/535][85470] Loss_D: -0.023745 Loss_G: -0.008408 Loss_D_real: -0.008227 Loss_D_fake 0.015518
[830/5000][50/535][85471] Loss_D: -0.022733 Loss_G: 0.017723 Loss_D_real: -0.020490 Loss_D_fake 0.002243
[830/5000][55/535][85472] Loss_D: -0.022233 Loss_G: 0.014507 Loss_D_real: -0.025058 Loss_D_fake -0.002825
[830/5000][60/535][85473] Loss_D: -0.022809 Loss_G: 0.015085 Loss_D_real: -0.030826 Loss_D_fake -0.008017
[830/5000][65/535][85474] Loss_D: -0.022768 Loss_G: 0.007284 Loss_D_real: -0.022431 Loss_D_fake 0.000337
[830/5000][70/535][85475] Loss_D: -0.023759 Loss_G: 0.009381 Loss_D_real: -0.024163 Loss_D_fake -0.000404
[830/5000][75/535][85476] Loss_D: -0.023091 Loss_G: 0.028829 Loss_D_real: -0.034727 Loss_D_fake -0.011636
[830/5000][80/535][85477] Loss_D: -0.022196 Loss_G: 0.001054 Loss_D_real: -0.009703 Loss_D_fake 0.012493
[830/5000][85/535][85478] Loss_D: -0.021490 Loss_G: -0.004127 Loss_D_real: -0.006856 Loss_D_fake 0.014633
[830/5000][90/535][85479] Loss_D: -0.022688 Loss_G: 0.000567 Loss_D_real: -0.008791 Loss_D_fake 0.013897
[830/5000][95/535][85480] Loss_D: -0.021674 Loss_G: 0.014530 Loss_D_real: -0.031395 Loss_D_fake -0.009722
[830/5000][100/535][85481] Loss_D: -0.023491 Loss_G: 0.009004 Loss_D_real: -0.015371 Loss_D_fake 0.008120
[830/5000][105/535][85482] Loss_D: -0.024687 Loss_G: 0.001411 Loss_D_real: -0.015483 Loss_D_fake 0.009204
[830/5000][110/535][85483] Loss_D: -0.021726 Loss_G: 0.006124 Loss_D_real: -0.008078 Loss_D_fake 0.013647
[830/5000][115/535][85484] Loss_D: -0.022731 Loss_G: 0.008641 Loss_D_real: -0.019191 Loss_D_fake 0.003540
[830/5000][120/535][85485] Loss_D: -0.024398 Loss_G: 0.020407 Loss_D_real: -0.028397 Loss_D_fake -0.004000
[830/5000][125/535][85486] Loss_D: -0.023613 Loss_G: -0.012986 Loss_D_real: -0.006479 Loss_D_fake 0.017134
[830/5000][130/535][85487] Loss_D: -0.023259 Loss_G: 0.017680 Loss_D_real: -0.018720 Loss_D_fake 0.004540
[830/5000][135/535][85488] Loss_D: -0.022268 Loss_G: -0.007386 Loss_D_real: -0.006566 Loss_D_fake 0.015702
[830/5000][140/535][85489] Loss_D: -0.023566 Loss_G: 0.018229 Loss_D_real: -0.023336 Loss_D_fake 0.000230
[830/5000][145/535][85490] Loss_D: -0.023261 Loss_G: -0.004787 Loss_D_real: -0.006750 Loss_D_fake 0.016512
[830/5000][150/535][85491] Loss_D: -0.022214 Loss_G: 0.015869 Loss_D_real: -0.018155 Loss_D_fake 0.004059
[830/5000][155/535][85492] Loss_D: -0.024762 Loss_G: 0.008688 Loss_D_real: -0.025425 Loss_D_fake -0.000663
[830/5000][160/535][85493] Loss_D: -0.022635 Loss_G: 0.004746 Loss_D_real: -0.013415 Loss_D_fake 0.009220
[830/5000][165/535][85494] Loss_D: -0.022628 Loss_G: 0.007464 Loss_D_real: -0.015061 Loss_D_fake 0.007567
[830/5000][170/535][85495] Loss_D: -0.022559 Loss_G: -0.006032 Loss_D_real: -0.018350 Loss_D_fake 0.004209
[830/5000][175/535][85496] Loss_D: -0.023339 Loss_G: 0.014615 Loss_D_real: -0.012460 Loss_D_fake 0.010879
[830/5000][180/535][85497] Loss_D: -0.023153 Loss_G: 0.009111 Loss_D_real: -0.022514 Loss_D_fake 0.000639
[830/5000][185/535][85498] Loss_D: -0.024324 Loss_G: 0.013475 Loss_D_real: -0.016471 Loss_D_fake 0.007853
[830/5000][190/535][85499] Loss_D: -0.021593 Loss_G: 0.030797 Loss_D_real: -0.034576 Loss_D_fake -0.012982
[830/5000][195/535][85500] Loss_D: -0.023403 Loss_G: 0.015208 Loss_D_real: -0.018051 Loss_D_fake 0.005351
[830/5000][295/535][85501] Loss_D: -0.025712 Loss_G: 0.014299 Loss_D_real: -0.028399 Loss_D_fake -0.002687
[830/5000][300/535][85502] Loss_D: -0.024206 Loss_G: 0.007112 Loss_D_real: -0.014379 Loss_D_fake 0.009827
[830/5000][305/535][85503] Loss_D: -0.020895 Loss_G: 0.001737 Loss_D_real: -0.016410 Loss_D_fake 0.004485
[830/5000][310/535][85504] Loss_D: -0.022032 Loss_G: 0.021541 Loss_D_real: -0.021942 Loss_D_fake 0.000090
[830/5000][315/535][85505] Loss_D: -0.021689 Loss_G: 0.012593 Loss_D_real: -0.001620 Loss_D_fake 0.020069
[830/5000][320/535][85506] Loss_D: -0.021704 Loss_G: 0.006587 Loss_D_real: -0.020899 Loss_D_fake 0.000805
[830/5000][325/535][85507] Loss_D: -0.022812 Loss_G: 0.009468 Loss_D_real: -0.009217 Loss_D_fake 0.013595
[830/5000][330/535][85508] Loss_D: -0.022206 Loss_G: 0.002292 Loss_D_real: -0.010612 Loss_D_fake 0.011594
[830/5000][335/535][85509] Loss_D: -0.020705 Loss_G: 0.015070 Loss_D_real: -0.019265 Loss_D_fake 0.001440
[830/5000][340/535][85510] Loss_D: -0.021390 Loss_G: 0.019367 Loss_D_real: -0.037581 Loss_D_fake -0.016191
[830/5000][345/535][85511] Loss_D: -0.022610 Loss_G: 0.006675 Loss_D_real: -0.033825 Loss_D_fake -0.011215
[830/5000][350/535][85512] Loss_D: -0.023845 Loss_G: 0.004096 Loss_D_real: -0.021123 Loss_D_fake 0.002721
[830/5000][355/535][85513] Loss_D: -0.021721 Loss_G: 0.027983 Loss_D_real: -0.036425 Loss_D_fake -0.014704
[830/5000][360/535][85514] Loss_D: -0.022642 Loss_G: 0.006449 Loss_D_real: -0.020535 Loss_D_fake 0.002107
[830/5000][365/535][85515] Loss_D: -0.022247 Loss_G: 0.037217 Loss_D_real: -0.030217 Loss_D_fake -0.007970
[830/5000][370/535][85516] Loss_D: -0.023426 Loss_G: -0.000945 Loss_D_real: -0.011438 Loss_D_fake 0.011988
[830/5000][375/535][85517] Loss_D: -0.023191 Loss_G: -0.015163 Loss_D_real: -0.007548 Loss_D_fake 0.015643
[830/5000][380/535][85518] Loss_D: -0.022495 Loss_G: 0.013617 Loss_D_real: -0.030332 Loss_D_fake -0.007837
[830/5000][385/535][85519] Loss_D: -0.022285 Loss_G: 0.010307 Loss_D_real: -0.024033 Loss_D_fake -0.001748
[830/5000][390/535][85520] Loss_D: -0.022702 Loss_G: 0.016110 Loss_D_real: -0.018554 Loss_D_fake 0.004148
[830/5000][395/535][85521] Loss_D: -0.022523 Loss_G: 0.013455 Loss_D_real: -0.029877 Loss_D_fake -0.007355
[830/5000][400/535][85522] Loss_D: -0.022941 Loss_G: 0.010952 Loss_D_real: -0.031617 Loss_D_fake -0.008676
[830/5000][405/535][85523] Loss_D: -0.023324 Loss_G: 0.018121 Loss_D_real: -0.022744 Loss_D_fake 0.000580
[830/5000][410/535][85524] Loss_D: -0.022835 Loss_G: -0.010674 Loss_D_real: -0.013523 Loss_D_fake 0.009312
[830/5000][415/535][85525] Loss_D: -0.022378 Loss_G: 0.007495 Loss_D_real: -0.018173 Loss_D_fake 0.004205
[830/5000][420/535][85526] Loss_D: -0.022089 Loss_G: -0.003115 Loss_D_real: -0.017680 Loss_D_fake 0.004409
[830/5000][425/535][85527] Loss_D: -0.023355 Loss_G: 0.014415 Loss_D_real: -0.031254 Loss_D_fake -0.007899
[830/5000][430/535][85528] Loss_D: -0.020304 Loss_G: -0.018525 Loss_D_real: 0.002958 Loss_D_fake 0.023261
[830/5000][435/535][85529] Loss_D: -0.022229 Loss_G: 0.025037 Loss_D_real: -0.028727 Loss_D_fake -0.006497
[830/5000][440/535][85530] Loss_D: -0.022415 Loss_G: 0.001962 Loss_D_real: -0.003820 Loss_D_fake 0.018595
[830/5000][445/535][85531] Loss_D: -0.020987 Loss_G: 0.022656 Loss_D_real: -0.031998 Loss_D_fake -0.011011
[830/5000][450/535][85532] Loss_D: -0.022882 Loss_G: 0.004021 Loss_D_real: -0.006498 Loss_D_fake 0.016383
[830/5000][455/535][85533] Loss_D: -0.023828 Loss_G: 0.004652 Loss_D_real: -0.018235 Loss_D_fake 0.005593
[830/5000][460/535][85534] Loss_D: -0.022921 Loss_G: 0.012816 Loss_D_real: -0.027226 Loss_D_fake -0.004305
[830/5000][465/535][85535] Loss_D: -0.023560 Loss_G: -0.000146 Loss_D_real: -0.020616 Loss_D_fake 0.002944
[830/5000][470/535][85536] Loss_D: -0.024428 Loss_G: 0.011915 Loss_D_real: -0.022095 Loss_D_fake 0.002333
[830/5000][475/535][85537] Loss_D: -0.024186 Loss_G: 0.004513 Loss_D_real: -0.006985 Loss_D_fake 0.017201
[830/5000][480/535][85538] Loss_D: -0.023671 Loss_G: 0.000423 Loss_D_real: -0.011754 Loss_D_fake 0.011918
[830/5000][485/535][85539] Loss_D: -0.023985 Loss_G: 0.001491 Loss_D_real: -0.016710 Loss_D_fake 0.007276
[830/5000][490/535][85540] Loss_D: -0.023957 Loss_G: 0.025926 Loss_D_real: -0.032180 Loss_D_fake -0.008222
[830/5000][495/535][85541] Loss_D: -0.022717 Loss_G: -0.004671 Loss_D_real: -0.014457 Loss_D_fake 0.008260
[830/5000][500/535][85542] Loss_D: -0.022865 Loss_G: -0.002240 Loss_D_real: -0.020230 Loss_D_fake 0.002635
[830/5000][505/535][85543] Loss_D: -0.023386 Loss_G: 0.018612 Loss_D_real: -0.016777 Loss_D_fake 0.006609
[830/5000][510/535][85544] Loss_D: -0.023839 Loss_G: -0.002882 Loss_D_real: -0.017199 Loss_D_fake 0.006641
[830/5000][515/535][85545] Loss_D: -0.021740 Loss_G: 0.018872 Loss_D_real: -0.033154 Loss_D_fake -0.011415
[830/5000][520/535][85546] Loss_D: -0.021365 Loss_G: 0.006129 Loss_D_real: -0.013269 Loss_D_fake 0.008096
[830/5000][525/535][85547] Loss_D: -0.023362 Loss_G: 0.008315 Loss_D_real: -0.019018 Loss_D_fake 0.004344
[830/5000][530/535][85548] Loss_D: -0.021930 Loss_G: 0.009741 Loss_D_real: -0.019453 Loss_D_fake 0.002477
[830/5000][535/535][85549] Loss_D: -0.024840 Loss_G: 0.012839 Loss_D_real: -0.019523 Loss_D_fake 0.005317
[831/5000][5/535][85550] Loss_D: -0.021498 Loss_G: -0.008109 Loss_D_real: 0.006781 Loss_D_fake 0.028279
[831/5000][10/535][85551] Loss_D: -0.022611 Loss_G: 0.008075 Loss_D_real: -0.009584 Loss_D_fake 0.013027
[831/5000][15/535][85552] Loss_D: -0.021997 Loss_G: -0.012462 Loss_D_real: -0.012181 Loss_D_fake 0.009815
[831/5000][20/535][85553] Loss_D: -0.022272 Loss_G: 0.002771 Loss_D_real: -0.011404 Loss_D_fake 0.010868
[831/5000][25/535][85554] Loss_D: -0.022525 Loss_G: -0.003860 Loss_D_real: -0.007234 Loss_D_fake 0.015291
[831/5000][30/535][85555] Loss_D: -0.023604 Loss_G: 0.001981 Loss_D_real: -0.016153 Loss_D_fake 0.007451
[831/5000][35/535][85556] Loss_D: -0.024120 Loss_G: -0.006811 Loss_D_real: -0.010564 Loss_D_fake 0.013556
[831/5000][40/535][85557] Loss_D: -0.023071 Loss_G: 0.001175 Loss_D_real: -0.007398 Loss_D_fake 0.015673
[831/5000][45/535][85558] Loss_D: -0.021537 Loss_G: 0.014805 Loss_D_real: -0.016818 Loss_D_fake 0.004720
[831/5000][50/535][85559] Loss_D: -0.022447 Loss_G: 0.004319 Loss_D_real: -0.024046 Loss_D_fake -0.001599
[831/5000][55/535][85560] Loss_D: -0.023271 Loss_G: -0.002472 Loss_D_real: -0.010844 Loss_D_fake 0.012427
[831/5000][60/535][85561] Loss_D: -0.024193 Loss_G: 0.010437 Loss_D_real: -0.022704 Loss_D_fake 0.001489
[831/5000][65/535][85562] Loss_D: -0.025562 Loss_G: -0.000079 Loss_D_real: -0.010306 Loss_D_fake 0.015256
[831/5000][70/535][85563] Loss_D: -0.023288 Loss_G: 0.012437 Loss_D_real: -0.020653 Loss_D_fake 0.002634
[831/5000][75/535][85564] Loss_D: -0.022645 Loss_G: 0.017219 Loss_D_real: -0.017003 Loss_D_fake 0.005642
[831/5000][80/535][85565] Loss_D: -0.023075 Loss_G: 0.021963 Loss_D_real: -0.023038 Loss_D_fake 0.000038
[831/5000][85/535][85566] Loss_D: -0.023352 Loss_G: -0.006484 Loss_D_real: -0.006596 Loss_D_fake 0.016756
[831/5000][90/535][85567] Loss_D: -0.023160 Loss_G: 0.020045 Loss_D_real: -0.026772 Loss_D_fake -0.003611
[831/5000][95/535][85568] Loss_D: -0.023039 Loss_G: -0.001762 Loss_D_real: -0.007482 Loss_D_fake 0.015556
[831/5000][100/535][85569] Loss_D: -0.022978 Loss_G: 0.004475 Loss_D_real: -0.017142 Loss_D_fake 0.005836
[831/5000][105/535][85570] Loss_D: -0.023764 Loss_G: 0.012708 Loss_D_real: -0.019819 Loss_D_fake 0.003945
[831/5000][110/535][85571] Loss_D: -0.023395 Loss_G: 0.001449 Loss_D_real: -0.012668 Loss_D_fake 0.010727
[831/5000][115/535][85572] Loss_D: -0.023286 Loss_G: -0.009351 Loss_D_real: -0.011241 Loss_D_fake 0.012044
[831/5000][120/535][85573] Loss_D: -0.022859 Loss_G: -0.003924 Loss_D_real: -0.006049 Loss_D_fake 0.016810
[831/5000][125/535][85574] Loss_D: -0.023010 Loss_G: 0.002409 Loss_D_real: -0.013259 Loss_D_fake 0.009751
[831/5000][130/535][85575] Loss_D: -0.023146 Loss_G: -0.006432 Loss_D_real: -0.000805 Loss_D_fake 0.022341
[831/5000][135/535][85576] Loss_D: -0.020913 Loss_G: 0.009093 Loss_D_real: -0.038683 Loss_D_fake -0.017770
[831/5000][140/535][85577] Loss_D: -0.022723 Loss_G: 0.006210 Loss_D_real: -0.014735 Loss_D_fake 0.007989
[831/5000][145/535][85578] Loss_D: -0.023012 Loss_G: -0.014585 Loss_D_real: -0.003168 Loss_D_fake 0.019844
[831/5000][150/535][85579] Loss_D: -0.023401 Loss_G: 0.010652 Loss_D_real: -0.021825 Loss_D_fake 0.001575
[831/5000][155/535][85580] Loss_D: -0.023798 Loss_G: 0.015750 Loss_D_real: -0.013414 Loss_D_fake 0.010384
[831/5000][160/535][85581] Loss_D: -0.022862 Loss_G: 0.027441 Loss_D_real: -0.033114 Loss_D_fake -0.010252
[831/5000][165/535][85582] Loss_D: -0.022716 Loss_G: -0.013751 Loss_D_real: -0.012343 Loss_D_fake 0.010373
[831/5000][170/535][85583] Loss_D: -0.019659 Loss_G: 0.024984 Loss_D_real: -0.037303 Loss_D_fake -0.017644
[831/5000][175/535][85584] Loss_D: -0.024106 Loss_G: 0.009647 Loss_D_real: -0.011048 Loss_D_fake 0.013058
[831/5000][180/535][85585] Loss_D: -0.023287 Loss_G: -0.006158 Loss_D_real: -0.017156 Loss_D_fake 0.006131
[831/5000][185/535][85586] Loss_D: -0.022672 Loss_G: 0.019561 Loss_D_real: -0.011425 Loss_D_fake 0.011247
[831/5000][190/535][85587] Loss_D: -0.023550 Loss_G: 0.005223 Loss_D_real: -0.009537 Loss_D_fake 0.014013
[831/5000][195/535][85588] Loss_D: -0.021580 Loss_G: 0.007236 Loss_D_real: -0.018953 Loss_D_fake 0.002627
[831/5000][200/535][85589] Loss_D: -0.022672 Loss_G: 0.005175 Loss_D_real: -0.021724 Loss_D_fake 0.000948
[831/5000][205/535][85590] Loss_D: -0.022804 Loss_G: 0.013540 Loss_D_real: -0.035092 Loss_D_fake -0.012288
[831/5000][210/535][85591] Loss_D: -0.023841 Loss_G: 0.011096 Loss_D_real: -0.030378 Loss_D_fake -0.006536
[831/5000][215/535][85592] Loss_D: -0.024609 Loss_G: 0.028939 Loss_D_real: -0.023090 Loss_D_fake 0.001519
[831/5000][220/535][85593] Loss_D: -0.023888 Loss_G: -0.003473 Loss_D_real: -0.018314 Loss_D_fake 0.005574
[831/5000][225/535][85594] Loss_D: -0.022517 Loss_G: 0.018217 Loss_D_real: -0.028757 Loss_D_fake -0.006240
[831/5000][230/535][85595] Loss_D: -0.023505 Loss_G: 0.017723 Loss_D_real: -0.023453 Loss_D_fake 0.000053
[831/5000][235/535][85596] Loss_D: -0.022907 Loss_G: 0.020546 Loss_D_real: -0.027218 Loss_D_fake -0.004310
[831/5000][240/535][85597] Loss_D: -0.023622 Loss_G: -0.006219 Loss_D_real: -0.008647 Loss_D_fake 0.014975
[831/5000][245/535][85598] Loss_D: -0.021536 Loss_G: 0.002707 Loss_D_real: -0.009123 Loss_D_fake 0.012412
[831/5000][250/535][85599] Loss_D: -0.023028 Loss_G: 0.016361 Loss_D_real: -0.019362 Loss_D_fake 0.003666
[831/5000][255/535][85600] Loss_D: -0.023514 Loss_G: 0.013735 Loss_D_real: -0.013089 Loss_D_fake 0.010426
[831/5000][260/535][85601] Loss_D: -0.024046 Loss_G: -0.015369 Loss_D_real: -0.015995 Loss_D_fake 0.008051
[831/5000][265/535][85602] Loss_D: -0.022490 Loss_G: 0.016594 Loss_D_real: -0.017535 Loss_D_fake 0.004955
[831/5000][270/535][85603] Loss_D: -0.024026 Loss_G: 0.014687 Loss_D_real: -0.023864 Loss_D_fake 0.000162
[831/5000][275/535][85604] Loss_D: -0.023186 Loss_G: 0.009720 Loss_D_real: -0.027798 Loss_D_fake -0.004612
[831/5000][280/535][85605] Loss_D: -0.024403 Loss_G: 0.014714 Loss_D_real: -0.024701 Loss_D_fake -0.000298
[831/5000][285/535][85606] Loss_D: -0.024369 Loss_G: 0.012292 Loss_D_real: -0.013303 Loss_D_fake 0.011066
[831/5000][290/535][85607] Loss_D: -0.022496 Loss_G: 0.013103 Loss_D_real: -0.022987 Loss_D_fake -0.000491
[831/5000][295/535][85608] Loss_D: -0.022873 Loss_G: 0.013185 Loss_D_real: -0.024337 Loss_D_fake -0.001464
[831/5000][300/535][85609] Loss_D: -0.023987 Loss_G: 0.014920 Loss_D_real: -0.027418 Loss_D_fake -0.003431
[831/5000][305/535][85610] Loss_D: -0.022570 Loss_G: 0.000189 Loss_D_real: -0.010929 Loss_D_fake 0.011640
[831/5000][310/535][85611] Loss_D: -0.023236 Loss_G: 0.006993 Loss_D_real: -0.005450 Loss_D_fake 0.017786
[831/5000][315/535][85612] Loss_D: -0.023277 Loss_G: 0.011260 Loss_D_real: -0.017132 Loss_D_fake 0.006145
[831/5000][320/535][85613] Loss_D: -0.022762 Loss_G: 0.010231 Loss_D_real: -0.014134 Loss_D_fake 0.008628
[831/5000][325/535][85614] Loss_D: -0.021414 Loss_G: -0.002762 Loss_D_real: -0.019986 Loss_D_fake 0.001429
[831/5000][330/535][85615] Loss_D: -0.022974 Loss_G: 0.007145 Loss_D_real: -0.018338 Loss_D_fake 0.004636
[831/5000][335/535][85616] Loss_D: -0.023104 Loss_G: 0.005784 Loss_D_real: -0.004819 Loss_D_fake 0.018285
[831/5000][340/535][85617] Loss_D: -0.023161 Loss_G: 0.000002 Loss_D_real: -0.014160 Loss_D_fake 0.009000
[831/5000][345/535][85618] Loss_D: -0.022868 Loss_G: 0.019259 Loss_D_real: -0.026802 Loss_D_fake -0.003934
[831/5000][350/535][85619] Loss_D: -0.023861 Loss_G: 0.013014 Loss_D_real: -0.033810 Loss_D_fake -0.009950
[831/5000][355/535][85620] Loss_D: -0.024422 Loss_G: 0.000223 Loss_D_real: -0.013049 Loss_D_fake 0.011373
[831/5000][360/535][85621] Loss_D: -0.022594 Loss_G: 0.016624 Loss_D_real: -0.033770 Loss_D_fake -0.011176
[831/5000][365/535][85622] Loss_D: -0.023469 Loss_G: 0.014515 Loss_D_real: -0.028406 Loss_D_fake -0.004938
[831/5000][370/535][85623] Loss_D: -0.024123 Loss_G: 0.022639 Loss_D_real: -0.030237 Loss_D_fake -0.006114
[831/5000][375/535][85624] Loss_D: -0.024680 Loss_G: -0.010927 Loss_D_real: -0.012982 Loss_D_fake 0.011697
[831/5000][380/535][85625] Loss_D: -0.023039 Loss_G: 0.008220 Loss_D_real: -0.016621 Loss_D_fake 0.006418
[831/5000][385/535][85626] Loss_D: -0.023840 Loss_G: -0.001290 Loss_D_real: -0.010242 Loss_D_fake 0.013598
[831/5000][390/535][85627] Loss_D: -0.023931 Loss_G: 0.024943 Loss_D_real: -0.018634 Loss_D_fake 0.005297
[831/5000][395/535][85628] Loss_D: -0.023262 Loss_G: 0.009290 Loss_D_real: -0.014245 Loss_D_fake 0.009017
[831/5000][400/535][85629] Loss_D: -0.023565 Loss_G: 0.011753 Loss_D_real: -0.018067 Loss_D_fake 0.005498
[831/5000][405/535][85630] Loss_D: -0.023689 Loss_G: 0.014967 Loss_D_real: -0.022975 Loss_D_fake 0.000714
[831/5000][410/535][85631] Loss_D: -0.024556 Loss_G: 0.014529 Loss_D_real: -0.021226 Loss_D_fake 0.003331
[831/5000][415/535][85632] Loss_D: -0.023091 Loss_G: 0.017898 Loss_D_real: -0.030411 Loss_D_fake -0.007320
[831/5000][420/535][85633] Loss_D: -0.024328 Loss_G: 0.004851 Loss_D_real: -0.029066 Loss_D_fake -0.004739
[831/5000][425/535][85634] Loss_D: -0.022327 Loss_G: 0.001315 Loss_D_real: -0.019431 Loss_D_fake 0.002896
[831/5000][430/535][85635] Loss_D: -0.023232 Loss_G: 0.015138 Loss_D_real: -0.016915 Loss_D_fake 0.006317
[831/5000][435/535][85636] Loss_D: -0.023948 Loss_G: 0.005873 Loss_D_real: -0.017845 Loss_D_fake 0.006104
[831/5000][440/535][85637] Loss_D: -0.021741 Loss_G: 0.026425 Loss_D_real: -0.025545 Loss_D_fake -0.003803
[831/5000][445/535][85638] Loss_D: -0.023720 Loss_G: -0.001413 Loss_D_real: -0.006966 Loss_D_fake 0.016755
[831/5000][450/535][85639] Loss_D: -0.022299 Loss_G: -0.001890 Loss_D_real: 0.000185 Loss_D_fake 0.022484
[831/5000][455/535][85640] Loss_D: -0.021871 Loss_G: 0.027567 Loss_D_real: -0.037185 Loss_D_fake -0.015314
[831/5000][460/535][85641] Loss_D: -0.022133 Loss_G: 0.022287 Loss_D_real: -0.022121 Loss_D_fake 0.000012
[831/5000][465/535][85642] Loss_D: -0.023882 Loss_G: 0.022129 Loss_D_real: -0.025738 Loss_D_fake -0.001856
[831/5000][470/535][85643] Loss_D: -0.021701 Loss_G: 0.018159 Loss_D_real: -0.030678 Loss_D_fake -0.008977
[831/5000][475/535][85644] Loss_D: -0.023068 Loss_G: 0.000070 Loss_D_real: -0.014406 Loss_D_fake 0.008662
[831/5000][480/535][85645] Loss_D: -0.022942 Loss_G: 0.010341 Loss_D_real: -0.013916 Loss_D_fake 0.009025
[831/5000][485/535][85646] Loss_D: -0.023381 Loss_G: 0.011195 Loss_D_real: -0.020711 Loss_D_fake 0.002670
[831/5000][490/535][85647] Loss_D: -0.024196 Loss_G: 0.005282 Loss_D_real: -0.015893 Loss_D_fake 0.008303
[831/5000][495/535][85648] Loss_D: -0.022387 Loss_G: -0.011622 Loss_D_real: -0.004901 Loss_D_fake 0.017486
[831/5000][500/535][85649] Loss_D: -0.024271 Loss_G: 0.021670 Loss_D_real: -0.017883 Loss_D_fake 0.006388
[831/5000][505/535][85650] Loss_D: -0.022476 Loss_G: 0.016856 Loss_D_real: -0.015359 Loss_D_fake 0.007117
[831/5000][510/535][85651] Loss_D: -0.024025 Loss_G: 0.012203 Loss_D_real: -0.015078 Loss_D_fake 0.008947
[831/5000][515/535][85652] Loss_D: -0.023954 Loss_G: 0.009665 Loss_D_real: -0.013170 Loss_D_fake 0.010783
[831/5000][520/535][85653] Loss_D: -0.022028 Loss_G: -0.020343 Loss_D_real: -0.001716 Loss_D_fake 0.020312
[831/5000][525/535][85654] Loss_D: -0.023062 Loss_G: 0.023398 Loss_D_real: -0.012629 Loss_D_fake 0.010434
[831/5000][530/535][85655] Loss_D: -0.023622 Loss_G: -0.002345 Loss_D_real: -0.017832 Loss_D_fake 0.005790
[831/5000][535/535][85656] Loss_D: -0.021332 Loss_G: 0.012622 Loss_D_real: -0.021715 Loss_D_fake -0.000383
[832/5000][5/535][85657] Loss_D: -0.023271 Loss_G: -0.007331 Loss_D_real: -0.002875 Loss_D_fake 0.020396
[832/5000][10/535][85658] Loss_D: -0.021829 Loss_G: 0.013415 Loss_D_real: -0.020444 Loss_D_fake 0.001385
[832/5000][15/535][85659] Loss_D: -0.023316 Loss_G: -0.002277 Loss_D_real: -0.006451 Loss_D_fake 0.016865
[832/5000][20/535][85660] Loss_D: -0.023239 Loss_G: 0.008004 Loss_D_real: -0.025776 Loss_D_fake -0.002537
[832/5000][25/535][85661] Loss_D: -0.025229 Loss_G: 0.012027 Loss_D_real: -0.009793 Loss_D_fake 0.015435
[832/5000][30/535][85662] Loss_D: -0.024637 Loss_G: 0.008870 Loss_D_real: -0.018381 Loss_D_fake 0.006256
[832/5000][35/535][85663] Loss_D: -0.023526 Loss_G: 0.010570 Loss_D_real: -0.017720 Loss_D_fake 0.005807
[832/5000][40/535][85664] Loss_D: -0.023966 Loss_G: 0.015697 Loss_D_real: -0.032296 Loss_D_fake -0.008330
[832/5000][45/535][85665] Loss_D: -0.023612 Loss_G: 0.020792 Loss_D_real: -0.034423 Loss_D_fake -0.010811
[832/5000][50/535][85666] Loss_D: -0.022014 Loss_G: 0.027929 Loss_D_real: -0.022018 Loss_D_fake -0.000004
[832/5000][55/535][85667] Loss_D: -0.022263 Loss_G: 0.002150 Loss_D_real: -0.017855 Loss_D_fake 0.004408
[832/5000][60/535][85668] Loss_D: -0.023406 Loss_G: 0.014824 Loss_D_real: -0.018099 Loss_D_fake 0.005307
[832/5000][65/535][85669] Loss_D: -0.023021 Loss_G: 0.012385 Loss_D_real: -0.022924 Loss_D_fake 0.000097
[832/5000][70/535][85670] Loss_D: -0.022939 Loss_G: 0.021150 Loss_D_real: -0.027234 Loss_D_fake -0.004294
[832/5000][75/535][85671] Loss_D: -0.021373 Loss_G: 0.014663 Loss_D_real: -0.021624 Loss_D_fake -0.000251
[832/5000][80/535][85672] Loss_D: -0.022852 Loss_G: 0.001952 Loss_D_real: -0.013703 Loss_D_fake 0.009148
[832/5000][85/535][85673] Loss_D: -0.022524 Loss_G: 0.016756 Loss_D_real: -0.031650 Loss_D_fake -0.009126
[832/5000][90/535][85674] Loss_D: -0.024217 Loss_G: 0.006332 Loss_D_real: -0.015788 Loss_D_fake 0.008430
[832/5000][95/535][85675] Loss_D: -0.022962 Loss_G: -0.003564 Loss_D_real: -0.013088 Loss_D_fake 0.009874
[832/5000][100/535][85676] Loss_D: -0.022276 Loss_G: 0.004119 Loss_D_real: -0.011350 Loss_D_fake 0.010927
[832/5000][105/535][85677] Loss_D: -0.023136 Loss_G: 0.016368 Loss_D_real: -0.035583 Loss_D_fake -0.012447
[832/5000][110/535][85678] Loss_D: -0.022611 Loss_G: 0.020048 Loss_D_real: -0.023822 Loss_D_fake -0.001211
[832/5000][115/535][85679] Loss_D: -0.024289 Loss_G: 0.010073 Loss_D_real: -0.019253 Loss_D_fake 0.005036
[832/5000][120/535][85680] Loss_D: -0.023690 Loss_G: -0.010540 Loss_D_real: -0.010448 Loss_D_fake 0.013241
[832/5000][125/535][85681] Loss_D: -0.021914 Loss_G: 0.028953 Loss_D_real: -0.043517 Loss_D_fake -0.021603
[832/5000][130/535][85682] Loss_D: -0.023531 Loss_G: -0.002220 Loss_D_real: -0.010665 Loss_D_fake 0.012866
[832/5000][135/535][85683] Loss_D: -0.023299 Loss_G: 0.023685 Loss_D_real: -0.030046 Loss_D_fake -0.006747
[832/5000][140/535][85684] Loss_D: -0.023435 Loss_G: -0.005294 Loss_D_real: -0.002161 Loss_D_fake 0.021275
[832/5000][145/535][85685] Loss_D: -0.023421 Loss_G: 0.011798 Loss_D_real: -0.019612 Loss_D_fake 0.003809
[832/5000][150/535][85686] Loss_D: -0.024096 Loss_G: 0.001683 Loss_D_real: -0.020711 Loss_D_fake 0.003385
[832/5000][155/535][85687] Loss_D: -0.024462 Loss_G: 0.015930 Loss_D_real: -0.031377 Loss_D_fake -0.006915
[832/5000][160/535][85688] Loss_D: -0.023630 Loss_G: 0.015788 Loss_D_real: -0.025115 Loss_D_fake -0.001485
[832/5000][165/535][85689] Loss_D: -0.023635 Loss_G: 0.026585 Loss_D_real: -0.032847 Loss_D_fake -0.009212
[832/5000][170/535][85690] Loss_D: -0.024289 Loss_G: 0.001669 Loss_D_real: -0.018232 Loss_D_fake 0.006057
[832/5000][175/535][85691] Loss_D: -0.024214 Loss_G: 0.000017 Loss_D_real: -0.013315 Loss_D_fake 0.010898
[832/5000][180/535][85692] Loss_D: -0.023499 Loss_G: 0.005457 Loss_D_real: -0.007495 Loss_D_fake 0.016003
[832/5000][185/535][85693] Loss_D: -0.023130 Loss_G: 0.004248 Loss_D_real: -0.010284 Loss_D_fake 0.012846
[832/5000][190/535][85694] Loss_D: -0.022299 Loss_G: 0.020763 Loss_D_real: -0.024063 Loss_D_fake -0.001764
[832/5000][195/535][85695] Loss_D: -0.021928 Loss_G: -0.010538 Loss_D_real: -0.005198 Loss_D_fake 0.016730
[832/5000][200/535][85696] Loss_D: -0.023350 Loss_G: 0.003497 Loss_D_real: -0.020437 Loss_D_fake 0.002914
[832/5000][205/535][85697] Loss_D: -0.023630 Loss_G: -0.000180 Loss_D_real: -0.014642 Loss_D_fake 0.008988
[832/5000][210/535][85698] Loss_D: -0.025403 Loss_G: 0.012880 Loss_D_real: -0.013759 Loss_D_fake 0.011644
[832/5000][215/535][85699] Loss_D: -0.023043 Loss_G: 0.015101 Loss_D_real: -0.020299 Loss_D_fake 0.002744
[832/5000][220/535][85700] Loss_D: -0.025414 Loss_G: 0.011613 Loss_D_real: -0.020756 Loss_D_fake 0.004657
[832/5000][225/535][85701] Loss_D: -0.022140 Loss_G: 0.027494 Loss_D_real: -0.038200 Loss_D_fake -0.016060
[832/5000][230/535][85702] Loss_D: -0.022920 Loss_G: 0.023838 Loss_D_real: -0.023692 Loss_D_fake -0.000772
[832/5000][235/535][85703] Loss_D: -0.024102 Loss_G: 0.016276 Loss_D_real: -0.012392 Loss_D_fake 0.011710
[832/5000][240/535][85704] Loss_D: -0.023010 Loss_G: -0.007173 Loss_D_real: -0.006745 Loss_D_fake 0.016266
[832/5000][245/535][85705] Loss_D: -0.023354 Loss_G: 0.003239 Loss_D_real: -0.005326 Loss_D_fake 0.018028
[832/5000][250/535][85706] Loss_D: -0.023656 Loss_G: 0.017143 Loss_D_real: -0.034715 Loss_D_fake -0.011059
[832/5000][255/535][85707] Loss_D: -0.023187 Loss_G: -0.014417 Loss_D_real: -0.000343 Loss_D_fake 0.022844
[832/5000][260/535][85708] Loss_D: -0.023732 Loss_G: 0.009834 Loss_D_real: -0.002513 Loss_D_fake 0.021219
[832/5000][265/535][85709] Loss_D: -0.024159 Loss_G: 0.011086 Loss_D_real: -0.017321 Loss_D_fake 0.006839
[832/5000][270/535][85710] Loss_D: -0.023761 Loss_G: 0.004009 Loss_D_real: -0.014879 Loss_D_fake 0.008882
[832/5000][275/535][85711] Loss_D: -0.023104 Loss_G: 0.017152 Loss_D_real: -0.023398 Loss_D_fake -0.000294
[832/5000][280/535][85712] Loss_D: -0.022530 Loss_G: -0.006442 Loss_D_real: -0.010380 Loss_D_fake 0.012150
[832/5000][285/535][85713] Loss_D: -0.021164 Loss_G: 0.012141 Loss_D_real: -0.033301 Loss_D_fake -0.012137
[832/5000][290/535][85714] Loss_D: -0.021485 Loss_G: 0.005939 Loss_D_real: -0.016220 Loss_D_fake 0.005265
[832/5000][295/535][85715] Loss_D: -0.023128 Loss_G: -0.001031 Loss_D_real: -0.009546 Loss_D_fake 0.013582
[832/5000][300/535][85716] Loss_D: -0.022819 Loss_G: 0.003000 Loss_D_real: -0.022896 Loss_D_fake -0.000077
[832/5000][305/535][85717] Loss_D: -0.023148 Loss_G: -0.006774 Loss_D_real: -0.011308 Loss_D_fake 0.011839
[832/5000][310/535][85718] Loss_D: -0.023726 Loss_G: -0.005430 Loss_D_real: -0.004604 Loss_D_fake 0.019121
[832/5000][315/535][85719] Loss_D: -0.022797 Loss_G: 0.016531 Loss_D_real: -0.030217 Loss_D_fake -0.007421
[832/5000][320/535][85720] Loss_D: -0.023383 Loss_G: 0.015348 Loss_D_real: -0.022412 Loss_D_fake 0.000972
[832/5000][325/535][85721] Loss_D: -0.022429 Loss_G: 0.007160 Loss_D_real: -0.019065 Loss_D_fake 0.003364
[832/5000][330/535][85722] Loss_D: -0.022785 Loss_G: 0.002281 Loss_D_real: -0.020903 Loss_D_fake 0.001882
[832/5000][335/535][85723] Loss_D: -0.021726 Loss_G: 0.024100 Loss_D_real: -0.023898 Loss_D_fake -0.002172
[832/5000][340/535][85724] Loss_D: -0.023742 Loss_G: 0.003628 Loss_D_real: -0.010205 Loss_D_fake 0.013537
[832/5000][345/535][85725] Loss_D: -0.023163 Loss_G: -0.004846 Loss_D_real: -0.012390 Loss_D_fake 0.010773
[832/5000][350/535][85726] Loss_D: -0.022759 Loss_G: 0.002272 Loss_D_real: -0.011143 Loss_D_fake 0.011617
[832/5000][355/535][85727] Loss_D: -0.022884 Loss_G: 0.008339 Loss_D_real: -0.020618 Loss_D_fake 0.002266
[832/5000][360/535][85728] Loss_D: -0.023042 Loss_G: 0.015961 Loss_D_real: -0.023354 Loss_D_fake -0.000312
[832/5000][365/535][85729] Loss_D: -0.023610 Loss_G: 0.023734 Loss_D_real: -0.019331 Loss_D_fake 0.004279
[832/5000][370/535][85730] Loss_D: -0.024753 Loss_G: -0.007988 Loss_D_real: -0.013985 Loss_D_fake 0.010768
[832/5000][375/535][85731] Loss_D: -0.022361 Loss_G: 0.012955 Loss_D_real: -0.041237 Loss_D_fake -0.018876
[832/5000][380/535][85732] Loss_D: -0.023775 Loss_G: 0.006348 Loss_D_real: -0.016001 Loss_D_fake 0.007774
[832/5000][385/535][85733] Loss_D: -0.023023 Loss_G: -0.002014 Loss_D_real: -0.011086 Loss_D_fake 0.011936
[832/5000][390/535][85734] Loss_D: -0.023365 Loss_G: 0.031430 Loss_D_real: -0.025945 Loss_D_fake -0.002580
[832/5000][395/535][85735] Loss_D: -0.022743 Loss_G: -0.005250 Loss_D_real: -0.020857 Loss_D_fake 0.001885
[832/5000][400/535][85736] Loss_D: -0.023092 Loss_G: 0.008600 Loss_D_real: -0.019886 Loss_D_fake 0.003206
[832/5000][405/535][85737] Loss_D: -0.023552 Loss_G: 0.014169 Loss_D_real: -0.026478 Loss_D_fake -0.002926
[832/5000][410/535][85738] Loss_D: -0.023390 Loss_G: 0.015717 Loss_D_real: -0.019633 Loss_D_fake 0.003757
[832/5000][415/535][85739] Loss_D: -0.023475 Loss_G: -0.003619 Loss_D_real: -0.011933 Loss_D_fake 0.011543
[832/5000][420/535][85740] Loss_D: -0.024077 Loss_G: -0.001411 Loss_D_real: -0.021621 Loss_D_fake 0.002455
[832/5000][425/535][85741] Loss_D: -0.022959 Loss_G: 0.014555 Loss_D_real: -0.024613 Loss_D_fake -0.001653
[832/5000][430/535][85742] Loss_D: -0.023907 Loss_G: 0.001317 Loss_D_real: -0.013884 Loss_D_fake 0.010023
[832/5000][435/535][85743] Loss_D: -0.022262 Loss_G: 0.002094 Loss_D_real: -0.016062 Loss_D_fake 0.006199
[832/5000][440/535][85744] Loss_D: -0.022105 Loss_G: 0.010901 Loss_D_real: -0.023923 Loss_D_fake -0.001818
[832/5000][445/535][85745] Loss_D: -0.022081 Loss_G: 0.023910 Loss_D_real: -0.026579 Loss_D_fake -0.004498
[832/5000][450/535][85746] Loss_D: -0.023063 Loss_G: -0.003153 Loss_D_real: -0.003072 Loss_D_fake 0.019991
[832/5000][455/535][85747] Loss_D: -0.023834 Loss_G: 0.004973 Loss_D_real: -0.004978 Loss_D_fake 0.018855
[832/5000][460/535][85748] Loss_D: -0.021769 Loss_G: 0.024836 Loss_D_real: -0.034647 Loss_D_fake -0.012878
[832/5000][465/535][85749] Loss_D: -0.023718 Loss_G: 0.014236 Loss_D_real: -0.021008 Loss_D_fake 0.002710
[832/5000][470/535][85750] Loss_D: -0.023025 Loss_G: 0.000033 Loss_D_real: -0.019055 Loss_D_fake 0.003970
[832/5000][475/535][85751] Loss_D: -0.022100 Loss_G: 0.003957 Loss_D_real: -0.023134 Loss_D_fake -0.001034
[832/5000][480/535][85752] Loss_D: -0.023959 Loss_G: -0.006264 Loss_D_real: -0.012719 Loss_D_fake 0.011240
[832/5000][485/535][85753] Loss_D: -0.023717 Loss_G: 0.006566 Loss_D_real: -0.025096 Loss_D_fake -0.001379
[832/5000][490/535][85754] Loss_D: -0.021535 Loss_G: -0.006687 Loss_D_real: 0.001590 Loss_D_fake 0.023126
[832/5000][495/535][85755] Loss_D: -0.021317 Loss_G: -0.019886 Loss_D_real: -0.005715 Loss_D_fake 0.015602
[832/5000][500/535][85756] Loss_D: -0.022059 Loss_G: 0.002592 Loss_D_real: -0.017515 Loss_D_fake 0.004544
[832/5000][505/535][85757] Loss_D: -0.024440 Loss_G: 0.028986 Loss_D_real: -0.026712 Loss_D_fake -0.002272
[832/5000][510/535][85758] Loss_D: -0.020832 Loss_G: -0.017222 Loss_D_real: -0.002889 Loss_D_fake 0.017943
[832/5000][515/535][85759] Loss_D: -0.022229 Loss_G: 0.022296 Loss_D_real: -0.028242 Loss_D_fake -0.006013
[832/5000][520/535][85760] Loss_D: -0.022916 Loss_G: 0.005556 Loss_D_real: -0.024321 Loss_D_fake -0.001404
[832/5000][525/535][85761] Loss_D: -0.023283 Loss_G: -0.001524 Loss_D_real: -0.012994 Loss_D_fake 0.010289
[832/5000][530/535][85762] Loss_D: -0.024024 Loss_G: 0.013749 Loss_D_real: -0.016809 Loss_D_fake 0.007215
[832/5000][535/535][85763] Loss_D: -0.022710 Loss_G: 0.000045 Loss_D_real: -0.032950 Loss_D_fake -0.010239
[833/5000][5/535][85764] Loss_D: -0.024608 Loss_G: 0.009156 Loss_D_real: -0.017881 Loss_D_fake 0.006727
[833/5000][10/535][85765] Loss_D: -0.022977 Loss_G: -0.002322 Loss_D_real: -0.009924 Loss_D_fake 0.013053
[833/5000][15/535][85766] Loss_D: -0.022220 Loss_G: 0.009429 Loss_D_real: -0.029667 Loss_D_fake -0.007447
[833/5000][20/535][85767] Loss_D: -0.021898 Loss_G: 0.022919 Loss_D_real: -0.031068 Loss_D_fake -0.009170
[833/5000][25/535][85768] Loss_D: -0.020501 Loss_G: 0.023220 Loss_D_real: -0.030968 Loss_D_fake -0.010467
[833/5000][30/535][85769] Loss_D: -0.022512 Loss_G: 0.000756 Loss_D_real: -0.009409 Loss_D_fake 0.013102
[833/5000][35/535][85770] Loss_D: -0.021184 Loss_G: 0.003176 Loss_D_real: -0.018125 Loss_D_fake 0.003059
[833/5000][40/535][85771] Loss_D: -0.021621 Loss_G: 0.006739 Loss_D_real: -0.014000 Loss_D_fake 0.007621
[833/5000][45/535][85772] Loss_D: -0.022132 Loss_G: 0.024763 Loss_D_real: -0.024367 Loss_D_fake -0.002235
[833/5000][50/535][85773] Loss_D: -0.022227 Loss_G: -0.015546 Loss_D_real: -0.012022 Loss_D_fake 0.010205
[833/5000][55/535][85774] Loss_D: -0.022493 Loss_G: 0.022730 Loss_D_real: -0.024914 Loss_D_fake -0.002421
[833/5000][60/535][85775] Loss_D: -0.022134 Loss_G: -0.011382 Loss_D_real: -0.003969 Loss_D_fake 0.018165
[833/5000][65/535][85776] Loss_D: -0.022828 Loss_G: 0.005843 Loss_D_real: -0.013944 Loss_D_fake 0.008884
[833/5000][70/535][85777] Loss_D: -0.023705 Loss_G: 0.016748 Loss_D_real: -0.017871 Loss_D_fake 0.005833
[833/5000][75/535][85778] Loss_D: -0.022244 Loss_G: 0.023977 Loss_D_real: -0.031755 Loss_D_fake -0.009511
[833/5000][80/535][85779] Loss_D: -0.023890 Loss_G: 0.016641 Loss_D_real: -0.026171 Loss_D_fake -0.002281
[833/5000][85/535][85780] Loss_D: -0.023477 Loss_G: -0.007133 Loss_D_real: -0.007479 Loss_D_fake 0.015999
[833/5000][90/535][85781] Loss_D: -0.024841 Loss_G: 0.014361 Loss_D_real: -0.018848 Loss_D_fake 0.005993
[833/5000][95/535][85782] Loss_D: -0.024459 Loss_G: 0.017350 Loss_D_real: -0.025574 Loss_D_fake -0.001116
[833/5000][100/535][85783] Loss_D: -0.021316 Loss_G: -0.006257 Loss_D_real: -0.005824 Loss_D_fake 0.015491
[833/5000][105/535][85784] Loss_D: -0.023838 Loss_G: 0.003872 Loss_D_real: -0.022382 Loss_D_fake 0.001456
[833/5000][110/535][85785] Loss_D: -0.022511 Loss_G: 0.015411 Loss_D_real: -0.029031 Loss_D_fake -0.006520
[833/5000][115/535][85786] Loss_D: -0.022658 Loss_G: 0.014764 Loss_D_real: -0.020169 Loss_D_fake 0.002489
[833/5000][120/535][85787] Loss_D: -0.022671 Loss_G: -0.004460 Loss_D_real: -0.017608 Loss_D_fake 0.005063
[833/5000][125/535][85788] Loss_D: -0.022167 Loss_G: 0.023872 Loss_D_real: -0.034284 Loss_D_fake -0.012116
[833/5000][130/535][85789] Loss_D: -0.023389 Loss_G: 0.005683 Loss_D_real: -0.024355 Loss_D_fake -0.000966
[833/5000][135/535][85790] Loss_D: -0.023496 Loss_G: 0.022283 Loss_D_real: -0.038057 Loss_D_fake -0.014561
[833/5000][140/535][85791] Loss_D: -0.023601 Loss_G: 0.016545 Loss_D_real: -0.027722 Loss_D_fake -0.004121
[833/5000][145/535][85792] Loss_D: -0.023231 Loss_G: 0.002008 Loss_D_real: -0.014901 Loss_D_fake 0.008330
[833/5000][150/535][85793] Loss_D: -0.023199 Loss_G: -0.004118 Loss_D_real: -0.002339 Loss_D_fake 0.020860
[833/5000][155/535][85794] Loss_D: -0.023282 Loss_G: 0.001623 Loss_D_real: -0.011917 Loss_D_fake 0.011365
[833/5000][160/535][85795] Loss_D: -0.023253 Loss_G: 0.022383 Loss_D_real: -0.024795 Loss_D_fake -0.001543
[833/5000][165/535][85796] Loss_D: -0.023834 Loss_G: -0.004105 Loss_D_real: -0.021604 Loss_D_fake 0.002229
[833/5000][170/535][85797] Loss_D: -0.023525 Loss_G: 0.027129 Loss_D_real: -0.031339 Loss_D_fake -0.007814
[833/5000][175/535][85798] Loss_D: -0.025629 Loss_G: -0.003249 Loss_D_real: -0.014653 Loss_D_fake 0.010976
[833/5000][180/535][85799] Loss_D: -0.023424 Loss_G: 0.011622 Loss_D_real: -0.021262 Loss_D_fake 0.002162
[833/5000][185/535][85800] Loss_D: -0.023025 Loss_G: 0.024028 Loss_D_real: -0.030825 Loss_D_fake -0.007800
[833/5000][190/535][85801] Loss_D: -0.023498 Loss_G: 0.010375 Loss_D_real: -0.025395 Loss_D_fake -0.001896
[833/5000][195/535][85802] Loss_D: -0.025046 Loss_G: -0.004566 Loss_D_real: -0.007924 Loss_D_fake 0.017121
[833/5000][200/535][85803] Loss_D: -0.023310 Loss_G: 0.000356 Loss_D_real: -0.019289 Loss_D_fake 0.004021
[833/5000][205/535][85804] Loss_D: -0.023862 Loss_G: -0.000660 Loss_D_real: -0.010770 Loss_D_fake 0.013091
[833/5000][210/535][85805] Loss_D: -0.022621 Loss_G: 0.010916 Loss_D_real: -0.023842 Loss_D_fake -0.001221
[833/5000][215/535][85806] Loss_D: -0.023506 Loss_G: 0.003547 Loss_D_real: -0.020380 Loss_D_fake 0.003126
[833/5000][220/535][85807] Loss_D: -0.022830 Loss_G: 0.007621 Loss_D_real: -0.021274 Loss_D_fake 0.001556
[833/5000][225/535][85808] Loss_D: -0.023439 Loss_G: 0.012819 Loss_D_real: -0.019413 Loss_D_fake 0.004026
[833/5000][230/535][85809] Loss_D: -0.022835 Loss_G: 0.021339 Loss_D_real: -0.027543 Loss_D_fake -0.004708
[833/5000][235/535][85810] Loss_D: -0.022210 Loss_G: -0.006463 Loss_D_real: -0.015453 Loss_D_fake 0.006756
[833/5000][240/535][85811] Loss_D: -0.023889 Loss_G: 0.009807 Loss_D_real: -0.022613 Loss_D_fake 0.001276
[833/5000][245/535][85812] Loss_D: -0.021062 Loss_G: 0.000604 Loss_D_real: -0.008963 Loss_D_fake 0.012099
[833/5000][250/535][85813] Loss_D: -0.022368 Loss_G: 0.008046 Loss_D_real: -0.023996 Loss_D_fake -0.001627
[833/5000][255/535][85814] Loss_D: -0.024152 Loss_G: 0.014875 Loss_D_real: -0.025291 Loss_D_fake -0.001139
[833/5000][260/535][85815] Loss_D: -0.021955 Loss_G: -0.001441 Loss_D_real: -0.011472 Loss_D_fake 0.010483
[833/5000][265/535][85816] Loss_D: -0.022608 Loss_G: 0.001102 Loss_D_real: -0.008975 Loss_D_fake 0.013633
[833/5000][270/535][85817] Loss_D: -0.021605 Loss_G: 0.006615 Loss_D_real: -0.030546 Loss_D_fake -0.008941
[833/5000][275/535][85818] Loss_D: -0.023543 Loss_G: 0.005951 Loss_D_real: -0.010692 Loss_D_fake 0.012851
[833/5000][280/535][85819] Loss_D: -0.023440 Loss_G: 0.011853 Loss_D_real: -0.007634 Loss_D_fake 0.015806
[833/5000][285/535][85820] Loss_D: -0.023670 Loss_G: 0.006052 Loss_D_real: -0.012782 Loss_D_fake 0.010888
[833/5000][290/535][85821] Loss_D: -0.024402 Loss_G: 0.017151 Loss_D_real: -0.023695 Loss_D_fake 0.000707
[833/5000][295/535][85822] Loss_D: -0.023473 Loss_G: 0.006592 Loss_D_real: -0.027468 Loss_D_fake -0.003995
[833/5000][300/535][85823] Loss_D: -0.023374 Loss_G: 0.024145 Loss_D_real: -0.026419 Loss_D_fake -0.003046
[833/5000][305/535][85824] Loss_D: -0.022780 Loss_G: 0.024303 Loss_D_real: -0.033077 Loss_D_fake -0.010297
[833/5000][310/535][85825] Loss_D: -0.023841 Loss_G: 0.001941 Loss_D_real: -0.014721 Loss_D_fake 0.009120
[833/5000][315/535][85826] Loss_D: -0.022794 Loss_G: 0.002446 Loss_D_real: -0.014030 Loss_D_fake 0.008764
[833/5000][320/535][85827] Loss_D: -0.023097 Loss_G: 0.018704 Loss_D_real: -0.021692 Loss_D_fake 0.001405
[833/5000][325/535][85828] Loss_D: -0.024274 Loss_G: 0.014262 Loss_D_real: -0.027011 Loss_D_fake -0.002737
[833/5000][330/535][85829] Loss_D: -0.023574 Loss_G: -0.012048 Loss_D_real: -0.004018 Loss_D_fake 0.019556
[833/5000][335/535][85830] Loss_D: -0.023061 Loss_G: 0.006858 Loss_D_real: -0.028548 Loss_D_fake -0.005487
[833/5000][340/535][85831] Loss_D: -0.023904 Loss_G: 0.012285 Loss_D_real: -0.025611 Loss_D_fake -0.001708
[833/5000][345/535][85832] Loss_D: -0.023215 Loss_G: -0.007644 Loss_D_real: -0.006493 Loss_D_fake 0.016722
[833/5000][350/535][85833] Loss_D: -0.023003 Loss_G: 0.008481 Loss_D_real: -0.019424 Loss_D_fake 0.003579
[833/5000][355/535][85834] Loss_D: -0.023150 Loss_G: 0.011586 Loss_D_real: -0.022439 Loss_D_fake 0.000711
[833/5000][360/535][85835] Loss_D: -0.022124 Loss_G: -0.001330 Loss_D_real: -0.011306 Loss_D_fake 0.010818
[833/5000][365/535][85836] Loss_D: -0.023118 Loss_G: 0.016194 Loss_D_real: -0.022006 Loss_D_fake 0.001112
[833/5000][370/535][85837] Loss_D: -0.022340 Loss_G: -0.007789 Loss_D_real: -0.009655 Loss_D_fake 0.012685
[833/5000][375/535][85838] Loss_D: -0.022899 Loss_G: 0.005984 Loss_D_real: -0.024180 Loss_D_fake -0.001282
[833/5000][380/535][85839] Loss_D: -0.023164 Loss_G: 0.000088 Loss_D_real: -0.025879 Loss_D_fake -0.002715
[833/5000][385/535][85840] Loss_D: -0.022036 Loss_G: 0.021520 Loss_D_real: -0.022226 Loss_D_fake -0.000190
[833/5000][390/535][85841] Loss_D: -0.023377 Loss_G: 0.002816 Loss_D_real: -0.022841 Loss_D_fake 0.000536
[833/5000][395/535][85842] Loss_D: -0.024514 Loss_G: 0.007455 Loss_D_real: -0.016489 Loss_D_fake 0.008025
[833/5000][400/535][85843] Loss_D: -0.024985 Loss_G: 0.012397 Loss_D_real: -0.019778 Loss_D_fake 0.005207
[833/5000][405/535][85844] Loss_D: -0.022144 Loss_G: 0.002247 Loss_D_real: -0.006738 Loss_D_fake 0.015406
[833/5000][410/535][85845] Loss_D: -0.023064 Loss_G: 0.012911 Loss_D_real: -0.025397 Loss_D_fake -0.002333
[833/5000][415/535][85846] Loss_D: -0.022647 Loss_G: 0.021890 Loss_D_real: -0.025491 Loss_D_fake -0.002844
[833/5000][420/535][85847] Loss_D: -0.022872 Loss_G: 0.006406 Loss_D_real: -0.016350 Loss_D_fake 0.006522
[833/5000][425/535][85848] Loss_D: -0.023210 Loss_G: -0.008139 Loss_D_real: -0.004828 Loss_D_fake 0.018382
[833/5000][430/535][85849] Loss_D: -0.022001 Loss_G: 0.015077 Loss_D_real: -0.019396 Loss_D_fake 0.002604
[833/5000][435/535][85850] Loss_D: -0.024616 Loss_G: 0.012905 Loss_D_real: -0.022974 Loss_D_fake 0.001641
[833/5000][440/535][85851] Loss_D: -0.022914 Loss_G: 0.008752 Loss_D_real: -0.010958 Loss_D_fake 0.011956
[833/5000][445/535][85852] Loss_D: -0.022276 Loss_G: -0.007029 Loss_D_real: -0.014285 Loss_D_fake 0.007991
[833/5000][450/535][85853] Loss_D: -0.022969 Loss_G: 0.003653 Loss_D_real: -0.010990 Loss_D_fake 0.011980
[833/5000][455/535][85854] Loss_D: -0.022070 Loss_G: 0.012268 Loss_D_real: -0.029271 Loss_D_fake -0.007201
[833/5000][460/535][85855] Loss_D: -0.023162 Loss_G: 0.006058 Loss_D_real: -0.009733 Loss_D_fake 0.013429
[833/5000][465/535][85856] Loss_D: -0.023117 Loss_G: 0.017629 Loss_D_real: -0.019095 Loss_D_fake 0.004022
[833/5000][470/535][85857] Loss_D: -0.022953 Loss_G: 0.024138 Loss_D_real: -0.026942 Loss_D_fake -0.003989
[833/5000][475/535][85858] Loss_D: -0.023226 Loss_G: 0.012073 Loss_D_real: -0.012107 Loss_D_fake 0.011119
[833/5000][480/535][85859] Loss_D: -0.023625 Loss_G: 0.010864 Loss_D_real: -0.025969 Loss_D_fake -0.002344
[833/5000][485/535][85860] Loss_D: -0.021911 Loss_G: 0.001275 Loss_D_real: -0.010902 Loss_D_fake 0.011009
[833/5000][490/535][85861] Loss_D: -0.024423 Loss_G: -0.000013 Loss_D_real: -0.017721 Loss_D_fake 0.006702
[833/5000][495/535][85862] Loss_D: -0.023566 Loss_G: 0.010752 Loss_D_real: -0.011385 Loss_D_fake 0.012181
[833/5000][500/535][85863] Loss_D: -0.024472 Loss_G: -0.015661 Loss_D_real: -0.016625 Loss_D_fake 0.007847
[833/5000][505/535][85864] Loss_D: -0.022766 Loss_G: 0.019263 Loss_D_real: -0.019421 Loss_D_fake 0.003345
[833/5000][510/535][85865] Loss_D: -0.022891 Loss_G: 0.019648 Loss_D_real: -0.024532 Loss_D_fake -0.001642
[833/5000][515/535][85866] Loss_D: -0.023252 Loss_G: 0.020091 Loss_D_real: -0.019930 Loss_D_fake 0.003322
[833/5000][520/535][85867] Loss_D: -0.022329 Loss_G: 0.030638 Loss_D_real: -0.038763 Loss_D_fake -0.016435
[833/5000][525/535][85868] Loss_D: -0.022391 Loss_G: 0.018509 Loss_D_real: -0.032396 Loss_D_fake -0.010006
[833/5000][530/535][85869] Loss_D: -0.023407 Loss_G: -0.000211 Loss_D_real: -0.013457 Loss_D_fake 0.009950
[833/5000][535/535][85870] Loss_D: -0.024250 Loss_G: -0.002752 Loss_D_real: -0.013806 Loss_D_fake 0.010444
[834/5000][5/535][85871] Loss_D: -0.023969 Loss_G: 0.018120 Loss_D_real: -0.021470 Loss_D_fake 0.002499
[834/5000][10/535][85872] Loss_D: -0.022960 Loss_G: -0.014255 Loss_D_real: 0.000744 Loss_D_fake 0.023703
[834/5000][15/535][85873] Loss_D: -0.022880 Loss_G: 0.013660 Loss_D_real: -0.027854 Loss_D_fake -0.004974
[834/5000][20/535][85874] Loss_D: -0.022474 Loss_G: -0.001341 Loss_D_real: -0.010566 Loss_D_fake 0.011908
[834/5000][25/535][85875] Loss_D: -0.021748 Loss_G: 0.022833 Loss_D_real: -0.021961 Loss_D_fake -0.000213
[834/5000][30/535][85876] Loss_D: -0.022712 Loss_G: 0.000384 Loss_D_real: -0.015188 Loss_D_fake 0.007524
[834/5000][35/535][85877] Loss_D: -0.022841 Loss_G: -0.000572 Loss_D_real: -0.008005 Loss_D_fake 0.014836
[834/5000][40/535][85878] Loss_D: -0.022820 Loss_G: -0.005917 Loss_D_real: -0.004643 Loss_D_fake 0.018177
[834/5000][45/535][85879] Loss_D: -0.022801 Loss_G: 0.005825 Loss_D_real: -0.016261 Loss_D_fake 0.006540
[834/5000][50/535][85880] Loss_D: -0.022524 Loss_G: -0.000447 Loss_D_real: -0.009089 Loss_D_fake 0.013435
[834/5000][55/535][85881] Loss_D: -0.024625 Loss_G: 0.005576 Loss_D_real: -0.018739 Loss_D_fake 0.005886
[834/5000][60/535][85882] Loss_D: -0.023414 Loss_G: -0.002381 Loss_D_real: -0.010801 Loss_D_fake 0.012613
[834/5000][65/535][85883] Loss_D: -0.022139 Loss_G: -0.002555 Loss_D_real: -0.005010 Loss_D_fake 0.017129
[834/5000][70/535][85884] Loss_D: -0.022614 Loss_G: 0.005352 Loss_D_real: -0.014702 Loss_D_fake 0.007913
[834/5000][75/535][85885] Loss_D: -0.021390 Loss_G: -0.001329 Loss_D_real: -0.013590 Loss_D_fake 0.007800
[834/5000][80/535][85886] Loss_D: -0.023167 Loss_G: 0.007918 Loss_D_real: -0.010678 Loss_D_fake 0.012488
[834/5000][85/535][85887] Loss_D: -0.024261 Loss_G: 0.020502 Loss_D_real: -0.030368 Loss_D_fake -0.006107
[834/5000][90/535][85888] Loss_D: -0.022663 Loss_G: 0.010242 Loss_D_real: -0.015047 Loss_D_fake 0.007615
[834/5000][95/535][85889] Loss_D: -0.021839 Loss_G: 0.009481 Loss_D_real: -0.030345 Loss_D_fake -0.008506
[834/5000][100/535][85890] Loss_D: -0.024497 Loss_G: 0.011914 Loss_D_real: -0.022963 Loss_D_fake 0.001534
[834/5000][105/535][85891] Loss_D: -0.023224 Loss_G: -0.007758 Loss_D_real: -0.013962 Loss_D_fake 0.009262
[834/5000][110/535][85892] Loss_D: -0.022525 Loss_G: 0.018999 Loss_D_real: -0.029427 Loss_D_fake -0.006903
[834/5000][115/535][85893] Loss_D: -0.023512 Loss_G: -0.010251 Loss_D_real: -0.019453 Loss_D_fake 0.004059
[834/5000][120/535][85894] Loss_D: -0.023872 Loss_G: 0.014443 Loss_D_real: -0.018939 Loss_D_fake 0.004933
[834/5000][125/535][85895] Loss_D: -0.022776 Loss_G: 0.016340 Loss_D_real: -0.032292 Loss_D_fake -0.009516
[834/5000][130/535][85896] Loss_D: -0.022246 Loss_G: 0.010000 Loss_D_real: -0.019863 Loss_D_fake 0.002383
[834/5000][135/535][85897] Loss_D: -0.022980 Loss_G: 0.007911 Loss_D_real: -0.016470 Loss_D_fake 0.006510
[834/5000][140/535][85898] Loss_D: -0.023176 Loss_G: 0.011642 Loss_D_real: -0.013887 Loss_D_fake 0.009289
[834/5000][145/535][85899] Loss_D: -0.022523 Loss_G: 0.006311 Loss_D_real: -0.028274 Loss_D_fake -0.005751
[834/5000][150/535][85900] Loss_D: -0.023538 Loss_G: 0.020146 Loss_D_real: -0.023416 Loss_D_fake 0.000121
[834/5000][155/535][85901] Loss_D: -0.023292 Loss_G: 0.009768 Loss_D_real: -0.022619 Loss_D_fake 0.000673
[834/5000][160/535][85902] Loss_D: -0.023781 Loss_G: 0.025367 Loss_D_real: -0.026226 Loss_D_fake -0.002444
[834/5000][165/535][85903] Loss_D: -0.024538 Loss_G: 0.017761 Loss_D_real: -0.029630 Loss_D_fake -0.005092
[834/5000][170/535][85904] Loss_D: -0.024543 Loss_G: 0.008981 Loss_D_real: -0.026387 Loss_D_fake -0.001844
[834/5000][175/535][85905] Loss_D: -0.023580 Loss_G: 0.025397 Loss_D_real: -0.026211 Loss_D_fake -0.002631
[834/5000][180/535][85906] Loss_D: -0.023966 Loss_G: -0.012369 Loss_D_real: -0.007624 Loss_D_fake 0.016343
[834/5000][185/535][85907] Loss_D: -0.023123 Loss_G: 0.010682 Loss_D_real: -0.029856 Loss_D_fake -0.006732
[834/5000][190/535][85908] Loss_D: -0.023081 Loss_G: -0.004798 Loss_D_real: -0.013326 Loss_D_fake 0.009756
[834/5000][195/535][85909] Loss_D: -0.022751 Loss_G: 0.015724 Loss_D_real: -0.014657 Loss_D_fake 0.008094
[834/5000][200/535][85910] Loss_D: -0.022558 Loss_G: 0.022646 Loss_D_real: -0.021385 Loss_D_fake 0.001173
[834/5000][205/535][85911] Loss_D: -0.022150 Loss_G: -0.002535 Loss_D_real: -0.013869 Loss_D_fake 0.008281
[834/5000][210/535][85912] Loss_D: -0.022374 Loss_G: 0.021658 Loss_D_real: -0.041670 Loss_D_fake -0.019296
[834/5000][215/535][85913] Loss_D: -0.023152 Loss_G: -0.002263 Loss_D_real: -0.012304 Loss_D_fake 0.010848
[834/5000][220/535][85914] Loss_D: -0.023782 Loss_G: -0.003961 Loss_D_real: -0.026844 Loss_D_fake -0.003062
[834/5000][225/535][85915] Loss_D: -0.022390 Loss_G: 0.024126 Loss_D_real: -0.025855 Loss_D_fake -0.003465
[834/5000][230/535][85916] Loss_D: -0.022713 Loss_G: 0.021065 Loss_D_real: -0.032319 Loss_D_fake -0.009606
[834/5000][235/535][85917] Loss_D: -0.023998 Loss_G: -0.013484 Loss_D_real: -0.011702 Loss_D_fake 0.012296
[834/5000][240/535][85918] Loss_D: -0.023589 Loss_G: 0.010422 Loss_D_real: -0.021736 Loss_D_fake 0.001853
[834/5000][245/535][85919] Loss_D: -0.024013 Loss_G: 0.025783 Loss_D_real: -0.027149 Loss_D_fake -0.003136
[834/5000][250/535][85920] Loss_D: -0.023204 Loss_G: 0.001399 Loss_D_real: -0.008599 Loss_D_fake 0.014605
[834/5000][255/535][85921] Loss_D: -0.022897 Loss_G: 0.024990 Loss_D_real: -0.030330 Loss_D_fake -0.007433
[834/5000][260/535][85922] Loss_D: -0.023357 Loss_G: 0.000975 Loss_D_real: -0.011638 Loss_D_fake 0.011719
[834/5000][265/535][85923] Loss_D: -0.022154 Loss_G: 0.013394 Loss_D_real: -0.024543 Loss_D_fake -0.002389
[834/5000][270/535][85924] Loss_D: -0.022866 Loss_G: 0.008722 Loss_D_real: -0.020123 Loss_D_fake 0.002742
[834/5000][275/535][85925] Loss_D: -0.022456 Loss_G: 0.012944 Loss_D_real: -0.024533 Loss_D_fake -0.002078
[834/5000][280/535][85926] Loss_D: -0.022432 Loss_G: -0.006015 Loss_D_real: -0.012021 Loss_D_fake 0.010411
[834/5000][285/535][85927] Loss_D: -0.023280 Loss_G: 0.000321 Loss_D_real: -0.022879 Loss_D_fake 0.000401
[834/5000][290/535][85928] Loss_D: -0.021608 Loss_G: 0.025195 Loss_D_real: -0.035004 Loss_D_fake -0.013396
[834/5000][295/535][85929] Loss_D: -0.023738 Loss_G: 0.012462 Loss_D_real: -0.027591 Loss_D_fake -0.003853
[834/5000][300/535][85930] Loss_D: -0.023154 Loss_G: -0.009372 Loss_D_real: -0.012602 Loss_D_fake 0.010552
[834/5000][305/535][85931] Loss_D: -0.022300 Loss_G: 0.020625 Loss_D_real: -0.032700 Loss_D_fake -0.010400
[834/5000][310/535][85932] Loss_D: -0.022457 Loss_G: 0.005981 Loss_D_real: -0.007599 Loss_D_fake 0.014858
[834/5000][315/535][85933] Loss_D: -0.022390 Loss_G: 0.008540 Loss_D_real: -0.016813 Loss_D_fake 0.005577
[834/5000][320/535][85934] Loss_D: -0.023531 Loss_G: 0.014675 Loss_D_real: -0.031833 Loss_D_fake -0.008302
[834/5000][325/535][85935] Loss_D: -0.022971 Loss_G: 0.001891 Loss_D_real: -0.016255 Loss_D_fake 0.006716
[834/5000][330/535][85936] Loss_D: -0.022987 Loss_G: 0.012222 Loss_D_real: -0.021380 Loss_D_fake 0.001607
[834/5000][335/535][85937] Loss_D: -0.023339 Loss_G: 0.009175 Loss_D_real: -0.019290 Loss_D_fake 0.004048
[834/5000][340/535][85938] Loss_D: -0.022724 Loss_G: 0.020905 Loss_D_real: -0.024450 Loss_D_fake -0.001726
[834/5000][345/535][85939] Loss_D: -0.023153 Loss_G: -0.003468 Loss_D_real: -0.016675 Loss_D_fake 0.006478
[834/5000][350/535][85940] Loss_D: -0.023044 Loss_G: 0.025927 Loss_D_real: -0.024494 Loss_D_fake -0.001450
[834/5000][355/535][85941] Loss_D: -0.022850 Loss_G: 0.017363 Loss_D_real: -0.025709 Loss_D_fake -0.002859
[834/5000][360/535][85942] Loss_D: -0.023425 Loss_G: 0.004975 Loss_D_real: -0.031729 Loss_D_fake -0.008304
[834/5000][365/535][85943] Loss_D: -0.022003 Loss_G: 0.026376 Loss_D_real: -0.039277 Loss_D_fake -0.017275
[834/5000][370/535][85944] Loss_D: -0.024206 Loss_G: 0.006593 Loss_D_real: -0.017172 Loss_D_fake 0.007033
[834/5000][375/535][85945] Loss_D: -0.023565 Loss_G: 0.027044 Loss_D_real: -0.025674 Loss_D_fake -0.002109
[834/5000][380/535][85946] Loss_D: -0.022825 Loss_G: 0.000526 Loss_D_real: -0.000795 Loss_D_fake 0.022030
[834/5000][385/535][85947] Loss_D: -0.023468 Loss_G: -0.001054 Loss_D_real: -0.005161 Loss_D_fake 0.018307
[834/5000][390/535][85948] Loss_D: -0.022829 Loss_G: 0.000802 Loss_D_real: -0.012823 Loss_D_fake 0.010006
[834/5000][395/535][85949] Loss_D: -0.025108 Loss_G: 0.002463 Loss_D_real: -0.020062 Loss_D_fake 0.005046
[834/5000][400/535][85950] Loss_D: -0.023934 Loss_G: 0.010046 Loss_D_real: -0.020873 Loss_D_fake 0.003061
[834/5000][405/535][85951] Loss_D: -0.023184 Loss_G: 0.002795 Loss_D_real: -0.027383 Loss_D_fake -0.004199
[834/5000][410/535][85952] Loss_D: -0.024274 Loss_G: 0.015003 Loss_D_real: -0.023680 Loss_D_fake 0.000594
[834/5000][415/535][85953] Loss_D: -0.023568 Loss_G: 0.019850 Loss_D_real: -0.031583 Loss_D_fake -0.008015
[834/5000][420/535][85954] Loss_D: -0.022968 Loss_G: 0.000226 Loss_D_real: -0.004628 Loss_D_fake 0.018339
[834/5000][425/535][85955] Loss_D: -0.023908 Loss_G: 0.004953 Loss_D_real: -0.018257 Loss_D_fake 0.005651
[834/5000][430/535][85956] Loss_D: -0.023136 Loss_G: -0.007708 Loss_D_real: -0.010193 Loss_D_fake 0.012943
[834/5000][435/535][85957] Loss_D: -0.023276 Loss_G: 0.016020 Loss_D_real: -0.027057 Loss_D_fake -0.003781
[834/5000][440/535][85958] Loss_D: -0.022979 Loss_G: 0.005745 Loss_D_real: -0.018669 Loss_D_fake 0.004311
[834/5000][445/535][85959] Loss_D: -0.022561 Loss_G: -0.007973 Loss_D_real: -0.001025 Loss_D_fake 0.021536
[834/5000][450/535][85960] Loss_D: -0.023314 Loss_G: 0.016321 Loss_D_real: -0.024933 Loss_D_fake -0.001619
[834/5000][455/535][85961] Loss_D: -0.024462 Loss_G: 0.018331 Loss_D_real: -0.006840 Loss_D_fake 0.017622
[834/5000][460/535][85962] Loss_D: -0.023187 Loss_G: 0.015075 Loss_D_real: -0.031866 Loss_D_fake -0.008679
[834/5000][465/535][85963] Loss_D: -0.023962 Loss_G: 0.015089 Loss_D_real: -0.028688 Loss_D_fake -0.004726
[834/5000][470/535][85964] Loss_D: -0.024959 Loss_G: 0.026259 Loss_D_real: -0.028058 Loss_D_fake -0.003100
[834/5000][475/535][85965] Loss_D: -0.023199 Loss_G: -0.002870 Loss_D_real: -0.005886 Loss_D_fake 0.017313
[834/5000][480/535][85966] Loss_D: -0.022811 Loss_G: 0.002081 Loss_D_real: -0.013253 Loss_D_fake 0.009558
[834/5000][485/535][85967] Loss_D: -0.023216 Loss_G: 0.001230 Loss_D_real: -0.021325 Loss_D_fake 0.001892
[834/5000][490/535][85968] Loss_D: -0.022511 Loss_G: -0.014768 Loss_D_real: -0.009636 Loss_D_fake 0.012875
[834/5000][495/535][85969] Loss_D: -0.022748 Loss_G: 0.023774 Loss_D_real: -0.023668 Loss_D_fake -0.000920
[834/5000][500/535][85970] Loss_D: -0.023602 Loss_G: 0.023065 Loss_D_real: -0.031234 Loss_D_fake -0.007632
[834/5000][505/535][85971] Loss_D: -0.022400 Loss_G: 0.005972 Loss_D_real: -0.018492 Loss_D_fake 0.003908
[834/5000][510/535][85972] Loss_D: -0.024105 Loss_G: 0.011427 Loss_D_real: -0.009033 Loss_D_fake 0.015072
[834/5000][515/535][85973] Loss_D: -0.022893 Loss_G: -0.014677 Loss_D_real: -0.009368 Loss_D_fake 0.013525
[834/5000][520/535][85974] Loss_D: -0.024596 Loss_G: 0.013360 Loss_D_real: -0.020507 Loss_D_fake 0.004089
[834/5000][525/535][85975] Loss_D: -0.022798 Loss_G: 0.013877 Loss_D_real: -0.006581 Loss_D_fake 0.016217
[834/5000][530/535][85976] Loss_D: -0.024049 Loss_G: 0.001465 Loss_D_real: -0.014505 Loss_D_fake 0.009544
[834/5000][535/535][85977] Loss_D: -0.021448 Loss_G: 0.022744 Loss_D_real: -0.025656 Loss_D_fake -0.004208
[835/5000][5/535][85978] Loss_D: -0.022947 Loss_G: 0.002904 Loss_D_real: -0.019446 Loss_D_fake 0.003501
[835/5000][10/535][85979] Loss_D: -0.022170 Loss_G: 0.000940 Loss_D_real: -0.002669 Loss_D_fake 0.019501
[835/5000][15/535][85980] Loss_D: -0.023941 Loss_G: 0.004432 Loss_D_real: -0.016731 Loss_D_fake 0.007209
[835/5000][20/535][85981] Loss_D: -0.022707 Loss_G: 0.022156 Loss_D_real: -0.017933 Loss_D_fake 0.004774
[835/5000][25/535][85982] Loss_D: -0.023501 Loss_G: 0.010127 Loss_D_real: -0.020182 Loss_D_fake 0.003319
[835/5000][30/535][85983] Loss_D: -0.022764 Loss_G: -0.008650 Loss_D_real: -0.007408 Loss_D_fake 0.015355
[835/5000][35/535][85984] Loss_D: -0.023186 Loss_G: 0.010910 Loss_D_real: -0.014123 Loss_D_fake 0.009063
[835/5000][40/535][85985] Loss_D: -0.024701 Loss_G: 0.003173 Loss_D_real: -0.022019 Loss_D_fake 0.002682
[835/5000][45/535][85986] Loss_D: -0.023014 Loss_G: 0.014956 Loss_D_real: -0.017904 Loss_D_fake 0.005110
[835/5000][50/535][85987] Loss_D: -0.022255 Loss_G: -0.002841 Loss_D_real: -0.016053 Loss_D_fake 0.006202
[835/5000][55/535][85988] Loss_D: -0.022674 Loss_G: 0.006081 Loss_D_real: -0.018133 Loss_D_fake 0.004541
[835/5000][60/535][85989] Loss_D: -0.024058 Loss_G: 0.017079 Loss_D_real: -0.020040 Loss_D_fake 0.004018
[835/5000][65/535][85990] Loss_D: -0.024108 Loss_G: 0.020664 Loss_D_real: -0.024267 Loss_D_fake -0.000159
[835/5000][70/535][85991] Loss_D: -0.023145 Loss_G: 0.004875 Loss_D_real: -0.007769 Loss_D_fake 0.015376
[835/5000][75/535][85992] Loss_D: -0.022662 Loss_G: 0.006503 Loss_D_real: -0.012220 Loss_D_fake 0.010443
[835/5000][80/535][85993] Loss_D: -0.022543 Loss_G: 0.015857 Loss_D_real: -0.020778 Loss_D_fake 0.001765
[835/5000][85/535][85994] Loss_D: -0.022577 Loss_G: 0.001319 Loss_D_real: -0.014268 Loss_D_fake 0.008309
[835/5000][90/535][85995] Loss_D: -0.022704 Loss_G: 0.021218 Loss_D_real: -0.019460 Loss_D_fake 0.003244
[835/5000][95/535][85996] Loss_D: -0.023372 Loss_G: 0.011262 Loss_D_real: -0.009966 Loss_D_fake 0.013405
[835/5000][100/535][85997] Loss_D: -0.023696 Loss_G: 0.006367 Loss_D_real: -0.009532 Loss_D_fake 0.014164
[835/5000][105/535][85998] Loss_D: -0.023538 Loss_G: 0.012682 Loss_D_real: -0.022110 Loss_D_fake 0.001429
[835/5000][110/535][85999] Loss_D: -0.024723 Loss_G: -0.005659 Loss_D_real: -0.023577 Loss_D_fake 0.001146
[835/5000][115/535][86000] Loss_D: -0.024138 Loss_G: 0.019370 Loss_D_real: -0.024965 Loss_D_fake -0.000826
[835/5000][215/535][86001] Loss_D: -0.024923 Loss_G: 0.031652 Loss_D_real: -0.033312 Loss_D_fake -0.008389
[835/5000][220/535][86002] Loss_D: -0.021281 Loss_G: 0.007573 Loss_D_real: -0.022765 Loss_D_fake -0.001484
[835/5000][225/535][86003] Loss_D: -0.022092 Loss_G: 0.011709 Loss_D_real: -0.022690 Loss_D_fake -0.000598
[835/5000][230/535][86004] Loss_D: -0.021155 Loss_G: 0.013675 Loss_D_real: -0.024385 Loss_D_fake -0.003231
[835/5000][235/535][86005] Loss_D: -0.020894 Loss_G: 0.011472 Loss_D_real: -0.020250 Loss_D_fake 0.000643
[835/5000][240/535][86006] Loss_D: -0.022066 Loss_G: 0.003924 Loss_D_real: -0.015585 Loss_D_fake 0.006481
[835/5000][245/535][86007] Loss_D: -0.019866 Loss_G: 0.018496 Loss_D_real: -0.033887 Loss_D_fake -0.014021
[835/5000][250/535][86008] Loss_D: -0.021647 Loss_G: 0.003356 Loss_D_real: -0.013405 Loss_D_fake 0.008242
[835/5000][255/535][86009] Loss_D: -0.021408 Loss_G: 0.026681 Loss_D_real: -0.026923 Loss_D_fake -0.005515
[835/5000][260/535][86010] Loss_D: -0.020652 Loss_G: 0.019959 Loss_D_real: -0.023580 Loss_D_fake -0.002928
[835/5000][265/535][86011] Loss_D: -0.022280 Loss_G: 0.015979 Loss_D_real: -0.021721 Loss_D_fake 0.000559
[835/5000][270/535][86012] Loss_D: -0.021465 Loss_G: 0.013153 Loss_D_real: -0.021100 Loss_D_fake 0.000365
[835/5000][275/535][86013] Loss_D: -0.021698 Loss_G: 0.004570 Loss_D_real: -0.017217 Loss_D_fake 0.004481
[835/5000][280/535][86014] Loss_D: -0.024327 Loss_G: 0.000361 Loss_D_real: -0.023054 Loss_D_fake 0.001272
[835/5000][285/535][86015] Loss_D: -0.023657 Loss_G: 0.004752 Loss_D_real: -0.008896 Loss_D_fake 0.014761
[835/5000][290/535][86016] Loss_D: -0.023085 Loss_G: 0.007824 Loss_D_real: -0.018527 Loss_D_fake 0.004558
[835/5000][295/535][86017] Loss_D: -0.021516 Loss_G: 0.019754 Loss_D_real: -0.032382 Loss_D_fake -0.010865
[835/5000][300/535][86018] Loss_D: -0.023699 Loss_G: 0.023218 Loss_D_real: -0.018677 Loss_D_fake 0.005022
[835/5000][305/535][86019] Loss_D: -0.024337 Loss_G: 0.002331 Loss_D_real: -0.015939 Loss_D_fake 0.008398
[835/5000][310/535][86020] Loss_D: -0.024601 Loss_G: 0.002577 Loss_D_real: -0.018975 Loss_D_fake 0.005626
[835/5000][315/535][86021] Loss_D: -0.021257 Loss_G: 0.023026 Loss_D_real: -0.035388 Loss_D_fake -0.014131
[835/5000][320/535][86022] Loss_D: -0.023948 Loss_G: 0.000774 Loss_D_real: -0.017314 Loss_D_fake 0.006634
[835/5000][325/535][86023] Loss_D: -0.022757 Loss_G: 0.014468 Loss_D_real: -0.019123 Loss_D_fake 0.003633
[835/5000][330/535][86024] Loss_D: -0.023526 Loss_G: 0.007833 Loss_D_real: -0.014123 Loss_D_fake 0.009403
[835/5000][335/535][86025] Loss_D: -0.021925 Loss_G: -0.003216 Loss_D_real: -0.014393 Loss_D_fake 0.007532
[835/5000][340/535][86026] Loss_D: -0.023615 Loss_G: 0.012204 Loss_D_real: -0.022893 Loss_D_fake 0.000722
[835/5000][345/535][86027] Loss_D: -0.022481 Loss_G: 0.007019 Loss_D_real: -0.021713 Loss_D_fake 0.000768
[835/5000][350/535][86028] Loss_D: -0.021920 Loss_G: 0.011592 Loss_D_real: -0.016739 Loss_D_fake 0.005182
[835/5000][355/535][86029] Loss_D: -0.022564 Loss_G: 0.005096 Loss_D_real: -0.007685 Loss_D_fake 0.014879
[835/5000][360/535][86030] Loss_D: -0.022768 Loss_G: 0.012822 Loss_D_real: -0.024024 Loss_D_fake -0.001256
[835/5000][365/535][86031] Loss_D: -0.023158 Loss_G: 0.016747 Loss_D_real: -0.019840 Loss_D_fake 0.003318
[835/5000][370/535][86032] Loss_D: -0.022293 Loss_G: 0.021368 Loss_D_real: -0.026180 Loss_D_fake -0.003888
[835/5000][375/535][86033] Loss_D: -0.023177 Loss_G: -0.007621 Loss_D_real: -0.004015 Loss_D_fake 0.019162
[835/5000][380/535][86034] Loss_D: -0.021594 Loss_G: 0.018345 Loss_D_real: -0.031307 Loss_D_fake -0.009713
[835/5000][385/535][86035] Loss_D: -0.021866 Loss_G: 0.016804 Loss_D_real: -0.028273 Loss_D_fake -0.006407
[835/5000][390/535][86036] Loss_D: -0.022914 Loss_G: 0.022965 Loss_D_real: -0.038135 Loss_D_fake -0.015221
[835/5000][395/535][86037] Loss_D: -0.024866 Loss_G: -0.003144 Loss_D_real: -0.013890 Loss_D_fake 0.010976
[835/5000][400/535][86038] Loss_D: -0.024017 Loss_G: 0.005466 Loss_D_real: -0.011965 Loss_D_fake 0.012053
[835/5000][405/535][86039] Loss_D: -0.023674 Loss_G: 0.018369 Loss_D_real: -0.031996 Loss_D_fake -0.008322
[835/5000][410/535][86040] Loss_D: -0.023762 Loss_G: 0.025850 Loss_D_real: -0.023899 Loss_D_fake -0.000137
[835/5000][415/535][86041] Loss_D: -0.022602 Loss_G: -0.015121 Loss_D_real: -0.002245 Loss_D_fake 0.020356
[835/5000][420/535][86042] Loss_D: -0.023036 Loss_G: 0.013497 Loss_D_real: -0.025993 Loss_D_fake -0.002957
[835/5000][425/535][86043] Loss_D: -0.022937 Loss_G: -0.003956 Loss_D_real: -0.006261 Loss_D_fake 0.016676
[835/5000][430/535][86044] Loss_D: -0.024116 Loss_G: 0.007019 Loss_D_real: -0.018609 Loss_D_fake 0.005508
[835/5000][435/535][86045] Loss_D: -0.021891 Loss_G: 0.020787 Loss_D_real: -0.029364 Loss_D_fake -0.007473
[835/5000][440/535][86046] Loss_D: -0.022367 Loss_G: 0.012257 Loss_D_real: -0.014309 Loss_D_fake 0.008058
[835/5000][445/535][86047] Loss_D: -0.023407 Loss_G: 0.009179 Loss_D_real: -0.025701 Loss_D_fake -0.002294
[835/5000][450/535][86048] Loss_D: -0.022877 Loss_G: -0.002690 Loss_D_real: -0.012009 Loss_D_fake 0.010868
[835/5000][455/535][86049] Loss_D: -0.023614 Loss_G: 0.008352 Loss_D_real: -0.024370 Loss_D_fake -0.000756
[835/5000][460/535][86050] Loss_D: -0.023726 Loss_G: 0.001796 Loss_D_real: -0.015804 Loss_D_fake 0.007922
[835/5000][465/535][86051] Loss_D: -0.022229 Loss_G: 0.026987 Loss_D_real: -0.033004 Loss_D_fake -0.010775
[835/5000][470/535][86052] Loss_D: -0.023380 Loss_G: 0.002469 Loss_D_real: -0.016060 Loss_D_fake 0.007320
[835/5000][475/535][86053] Loss_D: -0.022116 Loss_G: -0.009889 Loss_D_real: -0.006131 Loss_D_fake 0.015985
[835/5000][480/535][86054] Loss_D: -0.022761 Loss_G: -0.000121 Loss_D_real: -0.018009 Loss_D_fake 0.004752
[835/5000][485/535][86055] Loss_D: -0.023601 Loss_G: 0.014447 Loss_D_real: -0.012843 Loss_D_fake 0.010758
[835/5000][490/535][86056] Loss_D: -0.023602 Loss_G: 0.023088 Loss_D_real: -0.018099 Loss_D_fake 0.005503
[835/5000][495/535][86057] Loss_D: -0.021719 Loss_G: 0.019033 Loss_D_real: -0.029099 Loss_D_fake -0.007380
[835/5000][500/535][86058] Loss_D: -0.022665 Loss_G: 0.009270 Loss_D_real: -0.024513 Loss_D_fake -0.001848
[835/5000][505/535][86059] Loss_D: -0.024037 Loss_G: -0.001661 Loss_D_real: -0.018831 Loss_D_fake 0.005206
[835/5000][510/535][86060] Loss_D: -0.023341 Loss_G: -0.009366 Loss_D_real: -0.006315 Loss_D_fake 0.017027
[835/5000][515/535][86061] Loss_D: -0.024217 Loss_G: 0.004305 Loss_D_real: -0.025362 Loss_D_fake -0.001145
[835/5000][520/535][86062] Loss_D: -0.023867 Loss_G: 0.030287 Loss_D_real: -0.016250 Loss_D_fake 0.007616
[835/5000][525/535][86063] Loss_D: -0.025196 Loss_G: 0.003113 Loss_D_real: -0.006451 Loss_D_fake 0.018746
[835/5000][530/535][86064] Loss_D: -0.022866 Loss_G: 0.011709 Loss_D_real: -0.029921 Loss_D_fake -0.007055
[835/5000][535/535][86065] Loss_D: -0.023603 Loss_G: 0.010225 Loss_D_real: -0.017752 Loss_D_fake 0.005852
[836/5000][5/535][86066] Loss_D: -0.022479 Loss_G: 0.012686 Loss_D_real: -0.020238 Loss_D_fake 0.002241
[836/5000][10/535][86067] Loss_D: -0.022753 Loss_G: 0.011137 Loss_D_real: -0.027129 Loss_D_fake -0.004376
[836/5000][15/535][86068] Loss_D: -0.024630 Loss_G: -0.008033 Loss_D_real: -0.010394 Loss_D_fake 0.014236
[836/5000][20/535][86069] Loss_D: -0.023808 Loss_G: 0.011474 Loss_D_real: -0.020211 Loss_D_fake 0.003597
[836/5000][25/535][86070] Loss_D: -0.022673 Loss_G: 0.013113 Loss_D_real: -0.018535 Loss_D_fake 0.004138
[836/5000][30/535][86071] Loss_D: -0.020180 Loss_G: 0.031649 Loss_D_real: -0.037763 Loss_D_fake -0.017584
[836/5000][35/535][86072] Loss_D: -0.021103 Loss_G: 0.025873 Loss_D_real: -0.027714 Loss_D_fake -0.006611
[836/5000][40/535][86073] Loss_D: -0.022645 Loss_G: -0.012377 Loss_D_real: -0.000331 Loss_D_fake 0.022313
[836/5000][45/535][86074] Loss_D: -0.022345 Loss_G: 0.012224 Loss_D_real: -0.020697 Loss_D_fake 0.001648
[836/5000][50/535][86075] Loss_D: -0.023817 Loss_G: 0.008604 Loss_D_real: -0.021128 Loss_D_fake 0.002689
[836/5000][55/535][86076] Loss_D: -0.023560 Loss_G: 0.001818 Loss_D_real: -0.010954 Loss_D_fake 0.012606
[836/5000][60/535][86077] Loss_D: -0.021838 Loss_G: 0.011089 Loss_D_real: -0.023928 Loss_D_fake -0.002090
[836/5000][65/535][86078] Loss_D: -0.022888 Loss_G: -0.000859 Loss_D_real: -0.010938 Loss_D_fake 0.011950
[836/5000][70/535][86079] Loss_D: -0.023866 Loss_G: -0.007019 Loss_D_real: -0.012783 Loss_D_fake 0.011083
[836/5000][75/535][86080] Loss_D: -0.023137 Loss_G: 0.026431 Loss_D_real: -0.026544 Loss_D_fake -0.003408
[836/5000][80/535][86081] Loss_D: -0.023237 Loss_G: -0.007404 Loss_D_real: -0.016137 Loss_D_fake 0.007100
[836/5000][85/535][86082] Loss_D: -0.023756 Loss_G: 0.005118 Loss_D_real: -0.015227 Loss_D_fake 0.008529
[836/5000][90/535][86083] Loss_D: -0.022329 Loss_G: 0.018466 Loss_D_real: -0.025188 Loss_D_fake -0.002859
[836/5000][95/535][86084] Loss_D: -0.024793 Loss_G: 0.014270 Loss_D_real: -0.015112 Loss_D_fake 0.009682
[836/5000][100/535][86085] Loss_D: -0.022159 Loss_G: -0.003583 Loss_D_real: -0.016011 Loss_D_fake 0.006148
[836/5000][105/535][86086] Loss_D: -0.021880 Loss_G: 0.019242 Loss_D_real: -0.028983 Loss_D_fake -0.007104
[836/5000][110/535][86087] Loss_D: -0.022426 Loss_G: -0.009884 Loss_D_real: -0.008595 Loss_D_fake 0.013831
[836/5000][115/535][86088] Loss_D: -0.022894 Loss_G: 0.015922 Loss_D_real: -0.012208 Loss_D_fake 0.010685
[836/5000][120/535][86089] Loss_D: -0.022565 Loss_G: 0.015818 Loss_D_real: -0.020429 Loss_D_fake 0.002136
[836/5000][125/535][86090] Loss_D: -0.024258 Loss_G: -0.002104 Loss_D_real: -0.013599 Loss_D_fake 0.010659
[836/5000][130/535][86091] Loss_D: -0.022419 Loss_G: -0.007810 Loss_D_real: -0.007227 Loss_D_fake 0.015191
[836/5000][135/535][86092] Loss_D: -0.023581 Loss_G: -0.014362 Loss_D_real: -0.006067 Loss_D_fake 0.017514
[836/5000][140/535][86093] Loss_D: -0.023750 Loss_G: 0.016018 Loss_D_real: -0.018817 Loss_D_fake 0.004934
[836/5000][145/535][86094] Loss_D: -0.023720 Loss_G: 0.004027 Loss_D_real: -0.014991 Loss_D_fake 0.008730
[836/5000][150/535][86095] Loss_D: -0.023078 Loss_G: -0.006666 Loss_D_real: 0.000045 Loss_D_fake 0.023123
[836/5000][155/535][86096] Loss_D: -0.023740 Loss_G: 0.009907 Loss_D_real: -0.025565 Loss_D_fake -0.001825
[836/5000][160/535][86097] Loss_D: -0.023039 Loss_G: 0.024943 Loss_D_real: -0.034543 Loss_D_fake -0.011504
[836/5000][165/535][86098] Loss_D: -0.022258 Loss_G: -0.009484 Loss_D_real: -0.005245 Loss_D_fake 0.017014
[836/5000][170/535][86099] Loss_D: -0.023062 Loss_G: 0.002341 Loss_D_real: -0.012705 Loss_D_fake 0.010358
[836/5000][175/535][86100] Loss_D: -0.023315 Loss_G: -0.000814 Loss_D_real: -0.013352 Loss_D_fake 0.009963
[836/5000][180/535][86101] Loss_D: -0.022680 Loss_G: 0.011967 Loss_D_real: -0.022643 Loss_D_fake 0.000037
[836/5000][185/535][86102] Loss_D: -0.022706 Loss_G: 0.011941 Loss_D_real: -0.032773 Loss_D_fake -0.010068
[836/5000][190/535][86103] Loss_D: -0.023477 Loss_G: 0.009656 Loss_D_real: -0.022461 Loss_D_fake 0.001016
[836/5000][195/535][86104] Loss_D: -0.022236 Loss_G: 0.014224 Loss_D_real: -0.028006 Loss_D_fake -0.005769
[836/5000][200/535][86105] Loss_D: -0.024191 Loss_G: 0.007164 Loss_D_real: -0.022230 Loss_D_fake 0.001961
[836/5000][205/535][86106] Loss_D: -0.022356 Loss_G: 0.004701 Loss_D_real: -0.011499 Loss_D_fake 0.010857
[836/5000][210/535][86107] Loss_D: -0.021912 Loss_G: -0.004399 Loss_D_real: -0.020258 Loss_D_fake 0.001653
[836/5000][215/535][86108] Loss_D: -0.022883 Loss_G: 0.018872 Loss_D_real: -0.024494 Loss_D_fake -0.001611
[836/5000][220/535][86109] Loss_D: -0.021010 Loss_G: 0.008873 Loss_D_real: -0.015159 Loss_D_fake 0.005851
[836/5000][225/535][86110] Loss_D: -0.021523 Loss_G: -0.009509 Loss_D_real: -0.016972 Loss_D_fake 0.004552
[836/5000][230/535][86111] Loss_D: -0.021620 Loss_G: 0.025321 Loss_D_real: -0.032850 Loss_D_fake -0.011230
[836/5000][235/535][86112] Loss_D: -0.023337 Loss_G: 0.013891 Loss_D_real: -0.019375 Loss_D_fake 0.003962
[836/5000][240/535][86113] Loss_D: -0.022908 Loss_G: 0.004589 Loss_D_real: -0.014931 Loss_D_fake 0.007976
[836/5000][245/535][86114] Loss_D: -0.022064 Loss_G: 0.017565 Loss_D_real: -0.017776 Loss_D_fake 0.004288
[836/5000][250/535][86115] Loss_D: -0.023646 Loss_G: 0.005415 Loss_D_real: -0.017305 Loss_D_fake 0.006341
[836/5000][255/535][86116] Loss_D: -0.021631 Loss_G: 0.012840 Loss_D_real: -0.033816 Loss_D_fake -0.012185
[836/5000][260/535][86117] Loss_D: -0.021951 Loss_G: -0.011080 Loss_D_real: -0.005531 Loss_D_fake 0.016420
[836/5000][265/535][86118] Loss_D: -0.023316 Loss_G: 0.024774 Loss_D_real: -0.031916 Loss_D_fake -0.008600
[836/5000][270/535][86119] Loss_D: -0.022254 Loss_G: -0.003975 Loss_D_real: -0.003833 Loss_D_fake 0.018421
[836/5000][275/535][86120] Loss_D: -0.023360 Loss_G: 0.013967 Loss_D_real: -0.028708 Loss_D_fake -0.005347
[836/5000][280/535][86121] Loss_D: -0.021925 Loss_G: 0.018234 Loss_D_real: -0.037539 Loss_D_fake -0.015614
[836/5000][285/535][86122] Loss_D: -0.023945 Loss_G: 0.008186 Loss_D_real: -0.024768 Loss_D_fake -0.000823
[836/5000][290/535][86123] Loss_D: -0.022819 Loss_G: -0.011592 Loss_D_real: -0.013715 Loss_D_fake 0.009105
[836/5000][295/535][86124] Loss_D: -0.022862 Loss_G: 0.009010 Loss_D_real: -0.023992 Loss_D_fake -0.001130
[836/5000][300/535][86125] Loss_D: -0.023772 Loss_G: 0.005637 Loss_D_real: -0.019959 Loss_D_fake 0.003813
[836/5000][305/535][86126] Loss_D: -0.021408 Loss_G: 0.009710 Loss_D_real: -0.023201 Loss_D_fake -0.001794
[836/5000][310/535][86127] Loss_D: -0.023199 Loss_G: -0.010116 Loss_D_real: -0.006885 Loss_D_fake 0.016314
[836/5000][315/535][86128] Loss_D: -0.021900 Loss_G: 0.007609 Loss_D_real: -0.017137 Loss_D_fake 0.004763
[836/5000][320/535][86129] Loss_D: -0.021981 Loss_G: 0.024243 Loss_D_real: -0.036841 Loss_D_fake -0.014860
[836/5000][325/535][86130] Loss_D: -0.024363 Loss_G: 0.015371 Loss_D_real: -0.024690 Loss_D_fake -0.000327
[836/5000][330/535][86131] Loss_D: -0.023776 Loss_G: 0.025871 Loss_D_real: -0.021984 Loss_D_fake 0.001791
[836/5000][335/535][86132] Loss_D: -0.024549 Loss_G: -0.004610 Loss_D_real: -0.011181 Loss_D_fake 0.013368
[836/5000][340/535][86133] Loss_D: -0.023841 Loss_G: 0.004165 Loss_D_real: -0.024405 Loss_D_fake -0.000564
[836/5000][345/535][86134] Loss_D: -0.024877 Loss_G: 0.021947 Loss_D_real: -0.028430 Loss_D_fake -0.003553
[836/5000][350/535][86135] Loss_D: -0.022992 Loss_G: 0.012399 Loss_D_real: -0.026715 Loss_D_fake -0.003723
[836/5000][355/535][86136] Loss_D: -0.022912 Loss_G: -0.014564 Loss_D_real: 0.006395 Loss_D_fake 0.029308
[836/5000][360/535][86137] Loss_D: -0.023238 Loss_G: 0.001962 Loss_D_real: -0.015807 Loss_D_fake 0.007431
[836/5000][365/535][86138] Loss_D: -0.021922 Loss_G: 0.000606 Loss_D_real: -0.009497 Loss_D_fake 0.012425
[836/5000][370/535][86139] Loss_D: -0.023315 Loss_G: 0.006095 Loss_D_real: -0.016537 Loss_D_fake 0.006779
[836/5000][375/535][86140] Loss_D: -0.022862 Loss_G: 0.020396 Loss_D_real: -0.029415 Loss_D_fake -0.006552
[836/5000][380/535][86141] Loss_D: -0.022977 Loss_G: -0.002681 Loss_D_real: -0.010080 Loss_D_fake 0.012897
[836/5000][385/535][86142] Loss_D: -0.024409 Loss_G: 0.020608 Loss_D_real: -0.026157 Loss_D_fake -0.001748
[836/5000][390/535][86143] Loss_D: -0.022539 Loss_G: 0.014678 Loss_D_real: -0.029093 Loss_D_fake -0.006554
[836/5000][395/535][86144] Loss_D: -0.023146 Loss_G: 0.025636 Loss_D_real: -0.027477 Loss_D_fake -0.004331
[836/5000][400/535][86145] Loss_D: -0.022650 Loss_G: 0.005144 Loss_D_real: -0.015115 Loss_D_fake 0.007535
[836/5000][405/535][86146] Loss_D: -0.021732 Loss_G: 0.018540 Loss_D_real: -0.034761 Loss_D_fake -0.013029
[836/5000][410/535][86147] Loss_D: -0.023123 Loss_G: 0.018178 Loss_D_real: -0.035221 Loss_D_fake -0.012098
[836/5000][415/535][86148] Loss_D: -0.022573 Loss_G: 0.013650 Loss_D_real: -0.036172 Loss_D_fake -0.013599
[836/5000][420/535][86149] Loss_D: -0.023061 Loss_G: 0.025857 Loss_D_real: -0.030785 Loss_D_fake -0.007724
[836/5000][425/535][86150] Loss_D: -0.022339 Loss_G: -0.010194 Loss_D_real: -0.006926 Loss_D_fake 0.015413
[836/5000][430/535][86151] Loss_D: -0.022651 Loss_G: 0.002707 Loss_D_real: -0.017292 Loss_D_fake 0.005359
[836/5000][435/535][86152] Loss_D: -0.023878 Loss_G: 0.014583 Loss_D_real: -0.024137 Loss_D_fake -0.000260
[836/5000][440/535][86153] Loss_D: -0.023459 Loss_G: 0.022962 Loss_D_real: -0.026460 Loss_D_fake -0.003001
[836/5000][445/535][86154] Loss_D: -0.024121 Loss_G: 0.010299 Loss_D_real: -0.020006 Loss_D_fake 0.004115
[836/5000][450/535][86155] Loss_D: -0.022893 Loss_G: 0.004389 Loss_D_real: 0.000202 Loss_D_fake 0.023095
[836/5000][455/535][86156] Loss_D: -0.023984 Loss_G: 0.014611 Loss_D_real: -0.020352 Loss_D_fake 0.003632
[836/5000][460/535][86157] Loss_D: -0.024346 Loss_G: 0.009181 Loss_D_real: -0.020965 Loss_D_fake 0.003381
[836/5000][465/535][86158] Loss_D: -0.023079 Loss_G: 0.015700 Loss_D_real: -0.027323 Loss_D_fake -0.004244
[836/5000][470/535][86159] Loss_D: -0.023640 Loss_G: -0.002597 Loss_D_real: -0.016153 Loss_D_fake 0.007487
[836/5000][475/535][86160] Loss_D: -0.024764 Loss_G: 0.009784 Loss_D_real: -0.016328 Loss_D_fake 0.008435
[836/5000][480/535][86161] Loss_D: -0.022626 Loss_G: 0.013179 Loss_D_real: -0.022711 Loss_D_fake -0.000085
[836/5000][485/535][86162] Loss_D: -0.022785 Loss_G: 0.006814 Loss_D_real: -0.021085 Loss_D_fake 0.001700
[836/5000][490/535][86163] Loss_D: -0.023758 Loss_G: 0.018730 Loss_D_real: -0.023237 Loss_D_fake 0.000521
[836/5000][495/535][86164] Loss_D: -0.022550 Loss_G: 0.014309 Loss_D_real: -0.028378 Loss_D_fake -0.005828
[836/5000][500/535][86165] Loss_D: -0.023677 Loss_G: 0.006120 Loss_D_real: -0.019508 Loss_D_fake 0.004169
[836/5000][505/535][86166] Loss_D: -0.024212 Loss_G: 0.000513 Loss_D_real: -0.019909 Loss_D_fake 0.004303
[836/5000][510/535][86167] Loss_D: -0.022965 Loss_G: 0.003981 Loss_D_real: -0.010082 Loss_D_fake 0.012884
[836/5000][515/535][86168] Loss_D: -0.023867 Loss_G: -0.009847 Loss_D_real: -0.013772 Loss_D_fake 0.010095
[836/5000][520/535][86169] Loss_D: -0.022747 Loss_G: 0.013294 Loss_D_real: -0.016416 Loss_D_fake 0.006330
[836/5000][525/535][86170] Loss_D: -0.022878 Loss_G: 0.011355 Loss_D_real: -0.021707 Loss_D_fake 0.001170
[836/5000][530/535][86171] Loss_D: -0.022996 Loss_G: 0.007653 Loss_D_real: -0.020314 Loss_D_fake 0.002682
[836/5000][535/535][86172] Loss_D: -0.022029 Loss_G: 0.012850 Loss_D_real: -0.026120 Loss_D_fake -0.004091
[837/5000][5/535][86173] Loss_D: -0.022196 Loss_G: 0.012247 Loss_D_real: -0.025704 Loss_D_fake -0.003508
[837/5000][10/535][86174] Loss_D: -0.023848 Loss_G: 0.005239 Loss_D_real: -0.019176 Loss_D_fake 0.004672
[837/5000][15/535][86175] Loss_D: -0.024265 Loss_G: -0.001173 Loss_D_real: -0.010740 Loss_D_fake 0.013525
[837/5000][20/535][86176] Loss_D: -0.023603 Loss_G: -0.012643 Loss_D_real: -0.005103 Loss_D_fake 0.018499
[837/5000][25/535][86177] Loss_D: -0.023913 Loss_G: 0.000457 Loss_D_real: -0.013881 Loss_D_fake 0.010032
[837/5000][30/535][86178] Loss_D: -0.023324 Loss_G: 0.019034 Loss_D_real: -0.008104 Loss_D_fake 0.015220
[837/5000][35/535][86179] Loss_D: -0.022690 Loss_G: -0.010924 Loss_D_real: 0.002756 Loss_D_fake 0.025446
[837/5000][40/535][86180] Loss_D: -0.021778 Loss_G: 0.020283 Loss_D_real: -0.020650 Loss_D_fake 0.001128
[837/5000][45/535][86181] Loss_D: -0.021458 Loss_G: -0.016133 Loss_D_real: -0.004972 Loss_D_fake 0.016485
[837/5000][50/535][86182] Loss_D: -0.021923 Loss_G: 0.024540 Loss_D_real: -0.028641 Loss_D_fake -0.006718
[837/5000][55/535][86183] Loss_D: -0.023265 Loss_G: 0.008864 Loss_D_real: -0.010591 Loss_D_fake 0.012674
[837/5000][60/535][86184] Loss_D: -0.022905 Loss_G: 0.012160 Loss_D_real: -0.017050 Loss_D_fake 0.005855
[837/5000][65/535][86185] Loss_D: -0.023239 Loss_G: -0.000401 Loss_D_real: -0.014368 Loss_D_fake 0.008871
[837/5000][70/535][86186] Loss_D: -0.022533 Loss_G: 0.003924 Loss_D_real: -0.023490 Loss_D_fake -0.000957
[837/5000][75/535][86187] Loss_D: -0.022197 Loss_G: 0.014356 Loss_D_real: -0.032071 Loss_D_fake -0.009874
[837/5000][80/535][86188] Loss_D: -0.022247 Loss_G: -0.007951 Loss_D_real: -0.001344 Loss_D_fake 0.020902
[837/5000][85/535][86189] Loss_D: -0.022700 Loss_G: 0.012589 Loss_D_real: -0.021605 Loss_D_fake 0.001095
[837/5000][90/535][86190] Loss_D: -0.022812 Loss_G: 0.013078 Loss_D_real: -0.016806 Loss_D_fake 0.006006
[837/5000][95/535][86191] Loss_D: -0.021473 Loss_G: 0.024086 Loss_D_real: -0.025047 Loss_D_fake -0.003574
[837/5000][100/535][86192] Loss_D: -0.021705 Loss_G: 0.021398 Loss_D_real: -0.032506 Loss_D_fake -0.010801
[837/5000][105/535][86193] Loss_D: -0.022537 Loss_G: 0.020641 Loss_D_real: -0.021055 Loss_D_fake 0.001483
[837/5000][110/535][86194] Loss_D: -0.022970 Loss_G: 0.004557 Loss_D_real: -0.025296 Loss_D_fake -0.002325
[837/5000][115/535][86195] Loss_D: -0.022453 Loss_G: -0.003759 Loss_D_real: -0.005952 Loss_D_fake 0.016501
[837/5000][120/535][86196] Loss_D: -0.021480 Loss_G: 0.022570 Loss_D_real: -0.029906 Loss_D_fake -0.008426
[837/5000][125/535][86197] Loss_D: -0.022351 Loss_G: 0.008077 Loss_D_real: -0.020862 Loss_D_fake 0.001489
[837/5000][130/535][86198] Loss_D: -0.022877 Loss_G: 0.005482 Loss_D_real: -0.021008 Loss_D_fake 0.001869
[837/5000][135/535][86199] Loss_D: -0.022773 Loss_G: -0.005446 Loss_D_real: -0.011418 Loss_D_fake 0.011355
[837/5000][140/535][86200] Loss_D: -0.022722 Loss_G: 0.007756 Loss_D_real: -0.018480 Loss_D_fake 0.004242
[837/5000][145/535][86201] Loss_D: -0.024394 Loss_G: -0.007395 Loss_D_real: -0.005381 Loss_D_fake 0.019013
[837/5000][150/535][86202] Loss_D: -0.022799 Loss_G: -0.001382 Loss_D_real: -0.018939 Loss_D_fake 0.003860
[837/5000][155/535][86203] Loss_D: -0.023644 Loss_G: 0.029663 Loss_D_real: -0.036108 Loss_D_fake -0.012465
[837/5000][160/535][86204] Loss_D: -0.022620 Loss_G: -0.006857 Loss_D_real: -0.003916 Loss_D_fake 0.018704
[837/5000][165/535][86205] Loss_D: -0.023885 Loss_G: 0.015428 Loss_D_real: -0.017846 Loss_D_fake 0.006039
[837/5000][170/535][86206] Loss_D: -0.023807 Loss_G: 0.003924 Loss_D_real: -0.013320 Loss_D_fake 0.010487
[837/5000][175/535][86207] Loss_D: -0.021820 Loss_G: 0.022245 Loss_D_real: -0.034002 Loss_D_fake -0.012182
[837/5000][180/535][86208] Loss_D: -0.024077 Loss_G: 0.012548 Loss_D_real: -0.018274 Loss_D_fake 0.005803
[837/5000][185/535][86209] Loss_D: -0.024579 Loss_G: -0.004056 Loss_D_real: -0.008373 Loss_D_fake 0.016206
[837/5000][190/535][86210] Loss_D: -0.022841 Loss_G: -0.006163 Loss_D_real: -0.002778 Loss_D_fake 0.020062
[837/5000][195/535][86211] Loss_D: -0.023540 Loss_G: 0.010163 Loss_D_real: -0.019997 Loss_D_fake 0.003544
[837/5000][200/535][86212] Loss_D: -0.023066 Loss_G: 0.026777 Loss_D_real: -0.029624 Loss_D_fake -0.006558
[837/5000][205/535][86213] Loss_D: -0.024301 Loss_G: 0.019426 Loss_D_real: -0.031418 Loss_D_fake -0.007117
[837/5000][210/535][86214] Loss_D: -0.024478 Loss_G: 0.014982 Loss_D_real: -0.016321 Loss_D_fake 0.008157
[837/5000][215/535][86215] Loss_D: -0.023930 Loss_G: 0.013838 Loss_D_real: -0.024818 Loss_D_fake -0.000888
[837/5000][220/535][86216] Loss_D: -0.022141 Loss_G: -0.000319 Loss_D_real: -0.015087 Loss_D_fake 0.007054
[837/5000][225/535][86217] Loss_D: -0.024093 Loss_G: 0.005573 Loss_D_real: -0.023984 Loss_D_fake 0.000109
[837/5000][230/535][86218] Loss_D: -0.023027 Loss_G: -0.000716 Loss_D_real: -0.014187 Loss_D_fake 0.008840
[837/5000][235/535][86219] Loss_D: -0.022384 Loss_G: -0.004147 Loss_D_real: -0.008507 Loss_D_fake 0.013876
[837/5000][240/535][86220] Loss_D: -0.022260 Loss_G: 0.005277 Loss_D_real: -0.012848 Loss_D_fake 0.009412
[837/5000][245/535][86221] Loss_D: -0.022866 Loss_G: 0.013690 Loss_D_real: -0.017157 Loss_D_fake 0.005710
[837/5000][250/535][86222] Loss_D: -0.022982 Loss_G: 0.003848 Loss_D_real: -0.021659 Loss_D_fake 0.001323
[837/5000][255/535][86223] Loss_D: -0.020614 Loss_G: 0.026130 Loss_D_real: -0.043746 Loss_D_fake -0.023132
[837/5000][260/535][86224] Loss_D: -0.022527 Loss_G: -0.003995 Loss_D_real: -0.014826 Loss_D_fake 0.007701
[837/5000][265/535][86225] Loss_D: -0.024678 Loss_G: 0.017773 Loss_D_real: -0.017499 Loss_D_fake 0.007180
[837/5000][270/535][86226] Loss_D: -0.022110 Loss_G: 0.023754 Loss_D_real: -0.030272 Loss_D_fake -0.008162
[837/5000][275/535][86227] Loss_D: -0.023422 Loss_G: 0.010933 Loss_D_real: -0.012315 Loss_D_fake 0.011107
[837/5000][280/535][86228] Loss_D: -0.023311 Loss_G: 0.009222 Loss_D_real: -0.023831 Loss_D_fake -0.000520
[837/5000][285/535][86229] Loss_D: -0.024522 Loss_G: 0.001708 Loss_D_real: -0.020122 Loss_D_fake 0.004400
[837/5000][290/535][86230] Loss_D: -0.022836 Loss_G: 0.010755 Loss_D_real: -0.019644 Loss_D_fake 0.003191
[837/5000][295/535][86231] Loss_D: -0.023196 Loss_G: 0.000737 Loss_D_real: -0.013539 Loss_D_fake 0.009657
[837/5000][300/535][86232] Loss_D: -0.023227 Loss_G: 0.009707 Loss_D_real: -0.019564 Loss_D_fake 0.003664
[837/5000][305/535][86233] Loss_D: -0.022307 Loss_G: 0.017784 Loss_D_real: -0.031223 Loss_D_fake -0.008916
[837/5000][310/535][86234] Loss_D: -0.023114 Loss_G: 0.026077 Loss_D_real: -0.026735 Loss_D_fake -0.003621
[837/5000][315/535][86235] Loss_D: -0.023141 Loss_G: -0.006660 Loss_D_real: -0.023250 Loss_D_fake -0.000109
[837/5000][320/535][86236] Loss_D: -0.023472 Loss_G: 0.012160 Loss_D_real: -0.028508 Loss_D_fake -0.005036
[837/5000][325/535][86237] Loss_D: -0.023429 Loss_G: -0.002570 Loss_D_real: -0.000900 Loss_D_fake 0.022529
[837/5000][330/535][86238] Loss_D: -0.023232 Loss_G: 0.010877 Loss_D_real: -0.013086 Loss_D_fake 0.010146
[837/5000][335/535][86239] Loss_D: -0.019754 Loss_G: 0.030038 Loss_D_real: -0.036036 Loss_D_fake -0.016282
[837/5000][340/535][86240] Loss_D: -0.024860 Loss_G: 0.005279 Loss_D_real: -0.026270 Loss_D_fake -0.001410
[837/5000][345/535][86241] Loss_D: -0.024402 Loss_G: -0.002912 Loss_D_real: -0.015569 Loss_D_fake 0.008833
[837/5000][350/535][86242] Loss_D: -0.021947 Loss_G: -0.006635 Loss_D_real: -0.010964 Loss_D_fake 0.010982
[837/5000][355/535][86243] Loss_D: -0.023185 Loss_G: 0.007656 Loss_D_real: -0.012209 Loss_D_fake 0.010976
[837/5000][360/535][86244] Loss_D: -0.023860 Loss_G: 0.000121 Loss_D_real: -0.018889 Loss_D_fake 0.004971
[837/5000][365/535][86245] Loss_D: -0.023188 Loss_G: 0.032379 Loss_D_real: -0.026176 Loss_D_fake -0.002988
[837/5000][370/535][86246] Loss_D: -0.023458 Loss_G: -0.001173 Loss_D_real: -0.018888 Loss_D_fake 0.004569
[837/5000][375/535][86247] Loss_D: -0.023790 Loss_G: 0.004732 Loss_D_real: -0.011440 Loss_D_fake 0.012350
[837/5000][380/535][86248] Loss_D: -0.022285 Loss_G: 0.006270 Loss_D_real: -0.021619 Loss_D_fake 0.000666
[837/5000][385/535][86249] Loss_D: -0.021363 Loss_G: -0.001735 Loss_D_real: -0.013577 Loss_D_fake 0.007785
[837/5000][390/535][86250] Loss_D: -0.022317 Loss_G: 0.020446 Loss_D_real: -0.029358 Loss_D_fake -0.007041
[837/5000][395/535][86251] Loss_D: -0.023954 Loss_G: -0.001635 Loss_D_real: -0.019718 Loss_D_fake 0.004236
[837/5000][400/535][86252] Loss_D: -0.022808 Loss_G: 0.012835 Loss_D_real: -0.023009 Loss_D_fake -0.000202
[837/5000][405/535][86253] Loss_D: -0.022665 Loss_G: 0.014325 Loss_D_real: -0.027056 Loss_D_fake -0.004391
[837/5000][410/535][86254] Loss_D: -0.024073 Loss_G: 0.003547 Loss_D_real: -0.007997 Loss_D_fake 0.016076
[837/5000][415/535][86255] Loss_D: -0.022093 Loss_G: 0.009464 Loss_D_real: -0.031599 Loss_D_fake -0.009506
[837/5000][420/535][86256] Loss_D: -0.023661 Loss_G: 0.020894 Loss_D_real: -0.031382 Loss_D_fake -0.007721
[837/5000][425/535][86257] Loss_D: -0.024058 Loss_G: 0.014775 Loss_D_real: -0.026556 Loss_D_fake -0.002498
[837/5000][430/535][86258] Loss_D: -0.024446 Loss_G: -0.003191 Loss_D_real: -0.016057 Loss_D_fake 0.008390
[837/5000][435/535][86259] Loss_D: -0.022736 Loss_G: 0.011724 Loss_D_real: -0.015440 Loss_D_fake 0.007296
[837/5000][440/535][86260] Loss_D: -0.023520 Loss_G: 0.004618 Loss_D_real: -0.025905 Loss_D_fake -0.002386
[837/5000][445/535][86261] Loss_D: -0.022787 Loss_G: 0.019759 Loss_D_real: -0.018040 Loss_D_fake 0.004747
[837/5000][450/535][86262] Loss_D: -0.022716 Loss_G: -0.003656 Loss_D_real: -0.009173 Loss_D_fake 0.013543
[837/5000][455/535][86263] Loss_D: -0.024579 Loss_G: -0.003150 Loss_D_real: -0.010978 Loss_D_fake 0.013602
[837/5000][460/535][86264] Loss_D: -0.022502 Loss_G: 0.033282 Loss_D_real: -0.032225 Loss_D_fake -0.009723
[837/5000][465/535][86265] Loss_D: -0.023521 Loss_G: 0.012662 Loss_D_real: -0.023566 Loss_D_fake -0.000045
[837/5000][470/535][86266] Loss_D: -0.024026 Loss_G: -0.015224 Loss_D_real: -0.015875 Loss_D_fake 0.008151
[837/5000][475/535][86267] Loss_D: -0.023606 Loss_G: 0.021389 Loss_D_real: -0.028345 Loss_D_fake -0.004739
[837/5000][480/535][86268] Loss_D: -0.022667 Loss_G: 0.004349 Loss_D_real: -0.014736 Loss_D_fake 0.007931
[837/5000][485/535][86269] Loss_D: -0.023867 Loss_G: 0.004356 Loss_D_real: -0.018475 Loss_D_fake 0.005392
[837/5000][490/535][86270] Loss_D: -0.023202 Loss_G: -0.004456 Loss_D_real: -0.019158 Loss_D_fake 0.004044
[837/5000][495/535][86271] Loss_D: -0.022423 Loss_G: 0.024947 Loss_D_real: -0.030107 Loss_D_fake -0.007684
[837/5000][500/535][86272] Loss_D: -0.022593 Loss_G: 0.005113 Loss_D_real: -0.027194 Loss_D_fake -0.004601
[837/5000][505/535][86273] Loss_D: -0.021676 Loss_G: -0.016737 Loss_D_real: -0.003138 Loss_D_fake 0.018538
[837/5000][510/535][86274] Loss_D: -0.021976 Loss_G: 0.022589 Loss_D_real: -0.027098 Loss_D_fake -0.005122
[837/5000][515/535][86275] Loss_D: -0.021722 Loss_G: 0.006952 Loss_D_real: -0.003138 Loss_D_fake 0.018583
[837/5000][520/535][86276] Loss_D: -0.023079 Loss_G: 0.000832 Loss_D_real: -0.017373 Loss_D_fake 0.005706
[837/5000][525/535][86277] Loss_D: -0.022037 Loss_G: 0.005612 Loss_D_real: -0.016796 Loss_D_fake 0.005242
[837/5000][530/535][86278] Loss_D: -0.021256 Loss_G: -0.001691 Loss_D_real: -0.008208 Loss_D_fake 0.013049
[837/5000][535/535][86279] Loss_D: -0.022989 Loss_G: 0.005201 Loss_D_real: -0.020576 Loss_D_fake 0.002413
[838/5000][5/535][86280] Loss_D: -0.024156 Loss_G: 0.013950 Loss_D_real: -0.032955 Loss_D_fake -0.008798
[838/5000][10/535][86281] Loss_D: -0.022890 Loss_G: 0.019913 Loss_D_real: -0.023448 Loss_D_fake -0.000558
[838/5000][15/535][86282] Loss_D: -0.022263 Loss_G: 0.020852 Loss_D_real: -0.025882 Loss_D_fake -0.003619
[838/5000][20/535][86283] Loss_D: -0.023280 Loss_G: 0.011067 Loss_D_real: -0.026321 Loss_D_fake -0.003042
[838/5000][25/535][86284] Loss_D: -0.023890 Loss_G: 0.019823 Loss_D_real: -0.030722 Loss_D_fake -0.006832
[838/5000][30/535][86285] Loss_D: -0.023783 Loss_G: 0.018366 Loss_D_real: -0.030657 Loss_D_fake -0.006874
[838/5000][35/535][86286] Loss_D: -0.021589 Loss_G: 0.017629 Loss_D_real: -0.025981 Loss_D_fake -0.004391
[838/5000][40/535][86287] Loss_D: -0.023601 Loss_G: 0.017009 Loss_D_real: -0.022514 Loss_D_fake 0.001087
[838/5000][45/535][86288] Loss_D: -0.022681 Loss_G: -0.007317 Loss_D_real: 0.000477 Loss_D_fake 0.023158
[838/5000][50/535][86289] Loss_D: -0.022235 Loss_G: 0.012920 Loss_D_real: -0.029091 Loss_D_fake -0.006856
[838/5000][55/535][86290] Loss_D: -0.022939 Loss_G: -0.004509 Loss_D_real: -0.003958 Loss_D_fake 0.018981
[838/5000][60/535][86291] Loss_D: -0.022842 Loss_G: 0.003580 Loss_D_real: -0.031289 Loss_D_fake -0.008447
[838/5000][65/535][86292] Loss_D: -0.024065 Loss_G: 0.006170 Loss_D_real: -0.019356 Loss_D_fake 0.004710
[838/5000][70/535][86293] Loss_D: -0.023881 Loss_G: 0.005309 Loss_D_real: -0.015818 Loss_D_fake 0.008063
[838/5000][75/535][86294] Loss_D: -0.023923 Loss_G: 0.012619 Loss_D_real: -0.017866 Loss_D_fake 0.006057
[838/5000][80/535][86295] Loss_D: -0.022331 Loss_G: 0.020495 Loss_D_real: -0.022648 Loss_D_fake -0.000317
[838/5000][85/535][86296] Loss_D: -0.023542 Loss_G: -0.003217 Loss_D_real: -0.007239 Loss_D_fake 0.016303
[838/5000][90/535][86297] Loss_D: -0.022177 Loss_G: 0.010357 Loss_D_real: -0.025987 Loss_D_fake -0.003810
[838/5000][95/535][86298] Loss_D: -0.022525 Loss_G: 0.010124 Loss_D_real: -0.020650 Loss_D_fake 0.001874
[838/5000][100/535][86299] Loss_D: -0.023588 Loss_G: 0.005141 Loss_D_real: -0.012721 Loss_D_fake 0.010867
[838/5000][105/535][86300] Loss_D: -0.022001 Loss_G: 0.023773 Loss_D_real: -0.031648 Loss_D_fake -0.009647
[838/5000][110/535][86301] Loss_D: -0.023303 Loss_G: 0.008819 Loss_D_real: -0.009111 Loss_D_fake 0.014192
[838/5000][115/535][86302] Loss_D: -0.023523 Loss_G: 0.021759 Loss_D_real: -0.021049 Loss_D_fake 0.002474
[838/5000][120/535][86303] Loss_D: -0.023118 Loss_G: 0.007588 Loss_D_real: -0.014462 Loss_D_fake 0.008656
[838/5000][125/535][86304] Loss_D: -0.023370 Loss_G: 0.019340 Loss_D_real: -0.020321 Loss_D_fake 0.003049
[838/5000][130/535][86305] Loss_D: -0.023393 Loss_G: -0.021411 Loss_D_real: -0.007301 Loss_D_fake 0.016092
[838/5000][135/535][86306] Loss_D: -0.022502 Loss_G: 0.014936 Loss_D_real: -0.030334 Loss_D_fake -0.007831
[838/5000][140/535][86307] Loss_D: -0.023959 Loss_G: 0.008606 Loss_D_real: -0.017525 Loss_D_fake 0.006434
[838/5000][145/535][86308] Loss_D: -0.022961 Loss_G: 0.008686 Loss_D_real: -0.020869 Loss_D_fake 0.002092
[838/5000][150/535][86309] Loss_D: -0.024040 Loss_G: 0.015198 Loss_D_real: -0.019673 Loss_D_fake 0.004367
[838/5000][155/535][86310] Loss_D: -0.024303 Loss_G: -0.002217 Loss_D_real: -0.006014 Loss_D_fake 0.018289
[838/5000][160/535][86311] Loss_D: -0.022709 Loss_G: 0.011955 Loss_D_real: -0.033378 Loss_D_fake -0.010669
[838/5000][165/535][86312] Loss_D: -0.022655 Loss_G: -0.007886 Loss_D_real: -0.005135 Loss_D_fake 0.017520
[838/5000][170/535][86313] Loss_D: -0.021904 Loss_G: -0.010633 Loss_D_real: -0.003216 Loss_D_fake 0.018688
[838/5000][175/535][86314] Loss_D: -0.022637 Loss_G: 0.009654 Loss_D_real: -0.017347 Loss_D_fake 0.005290
[838/5000][180/535][86315] Loss_D: -0.022472 Loss_G: 0.021889 Loss_D_real: -0.030105 Loss_D_fake -0.007633
[838/5000][185/535][86316] Loss_D: -0.023183 Loss_G: -0.006963 Loss_D_real: -0.009627 Loss_D_fake 0.013555
[838/5000][190/535][86317] Loss_D: -0.024408 Loss_G: 0.021255 Loss_D_real: -0.013627 Loss_D_fake 0.010781
[838/5000][195/535][86318] Loss_D: -0.022339 Loss_G: 0.028003 Loss_D_real: -0.024913 Loss_D_fake -0.002574
[838/5000][200/535][86319] Loss_D: -0.023628 Loss_G: 0.016182 Loss_D_real: -0.016172 Loss_D_fake 0.007456
[838/5000][205/535][86320] Loss_D: -0.022930 Loss_G: 0.022101 Loss_D_real: -0.033450 Loss_D_fake -0.010520
[838/5000][210/535][86321] Loss_D: -0.021841 Loss_G: 0.011580 Loss_D_real: -0.032384 Loss_D_fake -0.010543
[838/5000][215/535][86322] Loss_D: -0.023593 Loss_G: 0.000490 Loss_D_real: -0.019987 Loss_D_fake 0.003607
[838/5000][220/535][86323] Loss_D: -0.022783 Loss_G: 0.020513 Loss_D_real: -0.028636 Loss_D_fake -0.005854
[838/5000][225/535][86324] Loss_D: -0.023573 Loss_G: 0.002545 Loss_D_real: -0.016919 Loss_D_fake 0.006655
[838/5000][230/535][86325] Loss_D: -0.023002 Loss_G: 0.004147 Loss_D_real: -0.010519 Loss_D_fake 0.012484
[838/5000][235/535][86326] Loss_D: -0.024279 Loss_G: -0.000276 Loss_D_real: -0.006443 Loss_D_fake 0.017836
[838/5000][240/535][86327] Loss_D: -0.024488 Loss_G: 0.010089 Loss_D_real: -0.027511 Loss_D_fake -0.003024
[838/5000][245/535][86328] Loss_D: -0.022806 Loss_G: 0.008818 Loss_D_real: -0.020948 Loss_D_fake 0.001858
[838/5000][250/535][86329] Loss_D: -0.022055 Loss_G: -0.004005 Loss_D_real: -0.006712 Loss_D_fake 0.015343
[838/5000][255/535][86330] Loss_D: -0.022251 Loss_G: 0.025435 Loss_D_real: -0.026027 Loss_D_fake -0.003776
[838/5000][260/535][86331] Loss_D: -0.022751 Loss_G: -0.005257 Loss_D_real: -0.006801 Loss_D_fake 0.015951
[838/5000][265/535][86332] Loss_D: -0.022559 Loss_G: 0.015816 Loss_D_real: -0.024536 Loss_D_fake -0.001977
[838/5000][270/535][86333] Loss_D: -0.023094 Loss_G: 0.017021 Loss_D_real: -0.030079 Loss_D_fake -0.006984
[838/5000][275/535][86334] Loss_D: -0.022099 Loss_G: 0.001929 Loss_D_real: -0.017022 Loss_D_fake 0.005076
[838/5000][280/535][86335] Loss_D: -0.022379 Loss_G: 0.007784 Loss_D_real: -0.012186 Loss_D_fake 0.010193
[838/5000][285/535][86336] Loss_D: -0.022262 Loss_G: 0.004024 Loss_D_real: -0.010331 Loss_D_fake 0.011931
[838/5000][290/535][86337] Loss_D: -0.021259 Loss_G: 0.020834 Loss_D_real: -0.037673 Loss_D_fake -0.016415
[838/5000][295/535][86338] Loss_D: -0.023085 Loss_G: 0.014865 Loss_D_real: -0.029452 Loss_D_fake -0.006367
[838/5000][300/535][86339] Loss_D: -0.023876 Loss_G: -0.007757 Loss_D_real: -0.008690 Loss_D_fake 0.015186
[838/5000][305/535][86340] Loss_D: -0.023186 Loss_G: -0.005594 Loss_D_real: -0.018499 Loss_D_fake 0.004687
[838/5000][310/535][86341] Loss_D: -0.023076 Loss_G: 0.004276 Loss_D_real: -0.016422 Loss_D_fake 0.006654
[838/5000][315/535][86342] Loss_D: -0.022155 Loss_G: 0.007999 Loss_D_real: -0.014700 Loss_D_fake 0.007455
[838/5000][320/535][86343] Loss_D: -0.023450 Loss_G: 0.020211 Loss_D_real: -0.020882 Loss_D_fake 0.002568
[838/5000][325/535][86344] Loss_D: -0.023327 Loss_G: 0.020050 Loss_D_real: -0.025129 Loss_D_fake -0.001802
[838/5000][330/535][86345] Loss_D: -0.022355 Loss_G: 0.001557 Loss_D_real: -0.015483 Loss_D_fake 0.006872
[838/5000][335/535][86346] Loss_D: -0.022386 Loss_G: 0.001987 Loss_D_real: -0.001230 Loss_D_fake 0.021156
[838/5000][340/535][86347] Loss_D: -0.021982 Loss_G: 0.018196 Loss_D_real: -0.030012 Loss_D_fake -0.008031
[838/5000][345/535][86348] Loss_D: -0.022069 Loss_G: 0.016920 Loss_D_real: -0.016854 Loss_D_fake 0.005215
[838/5000][350/535][86349] Loss_D: -0.023306 Loss_G: 0.002585 Loss_D_real: -0.021863 Loss_D_fake 0.001443
[838/5000][355/535][86350] Loss_D: -0.022677 Loss_G: 0.009644 Loss_D_real: -0.024525 Loss_D_fake -0.001847
[838/5000][360/535][86351] Loss_D: -0.022648 Loss_G: 0.011161 Loss_D_real: -0.022936 Loss_D_fake -0.000288
[838/5000][365/535][86352] Loss_D: -0.023074 Loss_G: 0.014978 Loss_D_real: -0.018195 Loss_D_fake 0.004879
[838/5000][370/535][86353] Loss_D: -0.023282 Loss_G: 0.023822 Loss_D_real: -0.030934 Loss_D_fake -0.007652
[838/5000][375/535][86354] Loss_D: -0.022632 Loss_G: 0.015069 Loss_D_real: -0.031067 Loss_D_fake -0.008435
[838/5000][380/535][86355] Loss_D: -0.023414 Loss_G: 0.021915 Loss_D_real: -0.017940 Loss_D_fake 0.005474
[838/5000][385/535][86356] Loss_D: -0.023383 Loss_G: 0.002025 Loss_D_real: -0.027101 Loss_D_fake -0.003719
[838/5000][390/535][86357] Loss_D: -0.022068 Loss_G: 0.017041 Loss_D_real: -0.028456 Loss_D_fake -0.006388
[838/5000][395/535][86358] Loss_D: -0.022577 Loss_G: 0.005396 Loss_D_real: -0.014687 Loss_D_fake 0.007890
[838/5000][400/535][86359] Loss_D: -0.022631 Loss_G: 0.008719 Loss_D_real: -0.020069 Loss_D_fake 0.002562
[838/5000][405/535][86360] Loss_D: -0.023695 Loss_G: 0.003662 Loss_D_real: -0.015969 Loss_D_fake 0.007726
[838/5000][410/535][86361] Loss_D: -0.022375 Loss_G: 0.027552 Loss_D_real: -0.024680 Loss_D_fake -0.002305
[838/5000][415/535][86362] Loss_D: -0.023739 Loss_G: -0.002655 Loss_D_real: -0.008012 Loss_D_fake 0.015727
[838/5000][420/535][86363] Loss_D: -0.022108 Loss_G: 0.021626 Loss_D_real: -0.029364 Loss_D_fake -0.007256
[838/5000][425/535][86364] Loss_D: -0.024855 Loss_G: -0.001034 Loss_D_real: -0.019433 Loss_D_fake 0.005421
[838/5000][430/535][86365] Loss_D: -0.023027 Loss_G: 0.001851 Loss_D_real: -0.017413 Loss_D_fake 0.005614
[838/5000][435/535][86366] Loss_D: -0.023117 Loss_G: -0.008025 Loss_D_real: -0.000040 Loss_D_fake 0.023078
[838/5000][440/535][86367] Loss_D: -0.024423 Loss_G: 0.015031 Loss_D_real: -0.017956 Loss_D_fake 0.006468
[838/5000][445/535][86368] Loss_D: -0.023574 Loss_G: 0.015273 Loss_D_real: -0.016355 Loss_D_fake 0.007219
[838/5000][450/535][86369] Loss_D: -0.022756 Loss_G: 0.025225 Loss_D_real: -0.028342 Loss_D_fake -0.005586
[838/5000][455/535][86370] Loss_D: -0.021311 Loss_G: -0.017339 Loss_D_real: -0.002148 Loss_D_fake 0.019163
[838/5000][460/535][86371] Loss_D: -0.021465 Loss_G: 0.023208 Loss_D_real: -0.027259 Loss_D_fake -0.005794
[838/5000][465/535][86372] Loss_D: -0.022046 Loss_G: 0.001259 Loss_D_real: -0.008040 Loss_D_fake 0.014006
[838/5000][470/535][86373] Loss_D: -0.021712 Loss_G: -0.010827 Loss_D_real: -0.002271 Loss_D_fake 0.019441
[838/5000][475/535][86374] Loss_D: -0.021688 Loss_G: 0.002839 Loss_D_real: -0.022894 Loss_D_fake -0.001206
[838/5000][480/535][86375] Loss_D: -0.022331 Loss_G: 0.013814 Loss_D_real: -0.024076 Loss_D_fake -0.001745
[838/5000][485/535][86376] Loss_D: -0.023515 Loss_G: 0.017156 Loss_D_real: -0.027515 Loss_D_fake -0.004000
[838/5000][490/535][86377] Loss_D: -0.023894 Loss_G: 0.013795 Loss_D_real: -0.018401 Loss_D_fake 0.005492
[838/5000][495/535][86378] Loss_D: -0.024065 Loss_G: 0.009198 Loss_D_real: -0.024689 Loss_D_fake -0.000625
[838/5000][500/535][86379] Loss_D: -0.023446 Loss_G: -0.000884 Loss_D_real: -0.003994 Loss_D_fake 0.019452
[838/5000][505/535][86380] Loss_D: -0.023392 Loss_G: -0.006516 Loss_D_real: -0.010042 Loss_D_fake 0.013350
[838/5000][510/535][86381] Loss_D: -0.022765 Loss_G: 0.002231 Loss_D_real: -0.009462 Loss_D_fake 0.013303
[838/5000][515/535][86382] Loss_D: -0.023477 Loss_G: 0.014963 Loss_D_real: -0.014791 Loss_D_fake 0.008687
[838/5000][520/535][86383] Loss_D: -0.024140 Loss_G: 0.001614 Loss_D_real: -0.011250 Loss_D_fake 0.012890
[838/5000][525/535][86384] Loss_D: -0.024493 Loss_G: 0.004877 Loss_D_real: -0.018394 Loss_D_fake 0.006099
[838/5000][530/535][86385] Loss_D: -0.024063 Loss_G: 0.021419 Loss_D_real: -0.019997 Loss_D_fake 0.004066
[838/5000][535/535][86386] Loss_D: -0.025957 Loss_G: 0.040206 Loss_D_real: -0.016774 Loss_D_fake 0.009183
[839/5000][5/535][86387] Loss_D: -0.023425 Loss_G: -0.011406 Loss_D_real: -0.010690 Loss_D_fake 0.012735
[839/5000][10/535][86388] Loss_D: -0.023027 Loss_G: 0.004902 Loss_D_real: -0.028595 Loss_D_fake -0.005568
[839/5000][15/535][86389] Loss_D: -0.024315 Loss_G: 0.006589 Loss_D_real: -0.024415 Loss_D_fake -0.000101
[839/5000][20/535][86390] Loss_D: -0.023788 Loss_G: -0.000465 Loss_D_real: -0.008377 Loss_D_fake 0.015410
[839/5000][25/535][86391] Loss_D: -0.021797 Loss_G: 0.030209 Loss_D_real: -0.030168 Loss_D_fake -0.008371
[839/5000][30/535][86392] Loss_D: -0.024696 Loss_G: 0.016362 Loss_D_real: -0.018143 Loss_D_fake 0.006553
[839/5000][35/535][86393] Loss_D: -0.023987 Loss_G: 0.000173 Loss_D_real: -0.012310 Loss_D_fake 0.011677
[839/5000][40/535][86394] Loss_D: -0.022148 Loss_G: 0.015434 Loss_D_real: -0.031055 Loss_D_fake -0.008907
[839/5000][45/535][86395] Loss_D: -0.022165 Loss_G: -0.018093 Loss_D_real: -0.008157 Loss_D_fake 0.014007
[839/5000][50/535][86396] Loss_D: -0.021159 Loss_G: 0.023130 Loss_D_real: -0.026404 Loss_D_fake -0.005245
[839/5000][55/535][86397] Loss_D: -0.022781 Loss_G: -0.006181 Loss_D_real: -0.009177 Loss_D_fake 0.013604
[839/5000][60/535][86398] Loss_D: -0.022996 Loss_G: -0.009007 Loss_D_real: -0.008288 Loss_D_fake 0.014707
[839/5000][65/535][86399] Loss_D: -0.021703 Loss_G: 0.007229 Loss_D_real: -0.022333 Loss_D_fake -0.000630
[839/5000][70/535][86400] Loss_D: -0.023173 Loss_G: 0.005857 Loss_D_real: -0.006540 Loss_D_fake 0.016632
[839/5000][75/535][86401] Loss_D: -0.023684 Loss_G: 0.004385 Loss_D_real: -0.015083 Loss_D_fake 0.008601
[839/5000][80/535][86402] Loss_D: -0.024215 Loss_G: -0.002437 Loss_D_real: -0.009744 Loss_D_fake 0.014470
[839/5000][85/535][86403] Loss_D: -0.022387 Loss_G: 0.011573 Loss_D_real: -0.014667 Loss_D_fake 0.007720
[839/5000][90/535][86404] Loss_D: -0.023268 Loss_G: 0.012182 Loss_D_real: -0.019355 Loss_D_fake 0.003913
[839/5000][95/535][86405] Loss_D: -0.023499 Loss_G: 0.021008 Loss_D_real: -0.036947 Loss_D_fake -0.013447
[839/5000][100/535][86406] Loss_D: -0.025159 Loss_G: -0.006015 Loss_D_real: -0.009787 Loss_D_fake 0.015372
[839/5000][105/535][86407] Loss_D: -0.023754 Loss_G: 0.014661 Loss_D_real: -0.017453 Loss_D_fake 0.006300
[839/5000][110/535][86408] Loss_D: -0.022959 Loss_G: -0.007985 Loss_D_real: -0.003197 Loss_D_fake 0.019762
[839/5000][115/535][86409] Loss_D: -0.023385 Loss_G: 0.003596 Loss_D_real: -0.011514 Loss_D_fake 0.011870
[839/5000][120/535][86410] Loss_D: -0.023180 Loss_G: 0.013098 Loss_D_real: -0.024526 Loss_D_fake -0.001346
[839/5000][125/535][86411] Loss_D: -0.024139 Loss_G: 0.009792 Loss_D_real: -0.020726 Loss_D_fake 0.003413
[839/5000][130/535][86412] Loss_D: -0.023843 Loss_G: 0.010249 Loss_D_real: -0.028355 Loss_D_fake -0.004513
[839/5000][135/535][86413] Loss_D: -0.023352 Loss_G: -0.006410 Loss_D_real: -0.011663 Loss_D_fake 0.011690
[839/5000][140/535][86414] Loss_D: -0.023012 Loss_G: -0.001720 Loss_D_real: -0.018397 Loss_D_fake 0.004615
[839/5000][145/535][86415] Loss_D: -0.023776 Loss_G: 0.000151 Loss_D_real: -0.010722 Loss_D_fake 0.013055
[839/5000][150/535][86416] Loss_D: -0.022868 Loss_G: 0.003288 Loss_D_real: -0.025793 Loss_D_fake -0.002925
[839/5000][155/535][86417] Loss_D: -0.023305 Loss_G: 0.001803 Loss_D_real: -0.007538 Loss_D_fake 0.015767
[839/5000][160/535][86418] Loss_D: -0.022727 Loss_G: -0.008296 Loss_D_real: -0.001973 Loss_D_fake 0.020754
[839/5000][165/535][86419] Loss_D: -0.023343 Loss_G: 0.020352 Loss_D_real: -0.034156 Loss_D_fake -0.010813
[839/5000][170/535][86420] Loss_D: -0.023111 Loss_G: 0.012805 Loss_D_real: -0.025380 Loss_D_fake -0.002269
[839/5000][175/535][86421] Loss_D: -0.022013 Loss_G: 0.010456 Loss_D_real: -0.018282 Loss_D_fake 0.003731
[839/5000][180/535][86422] Loss_D: -0.022812 Loss_G: 0.017486 Loss_D_real: -0.030063 Loss_D_fake -0.007251
[839/5000][185/535][86423] Loss_D: -0.023387 Loss_G: 0.018172 Loss_D_real: -0.020373 Loss_D_fake 0.003014
[839/5000][190/535][86424] Loss_D: -0.020337 Loss_G: 0.026808 Loss_D_real: -0.038446 Loss_D_fake -0.018109
[839/5000][195/535][86425] Loss_D: -0.023076 Loss_G: 0.000649 Loss_D_real: -0.017702 Loss_D_fake 0.005374
[839/5000][200/535][86426] Loss_D: -0.023180 Loss_G: 0.008373 Loss_D_real: -0.012221 Loss_D_fake 0.010958
[839/5000][205/535][86427] Loss_D: -0.022960 Loss_G: 0.004833 Loss_D_real: -0.022069 Loss_D_fake 0.000891
[839/5000][210/535][86428] Loss_D: -0.022220 Loss_G: 0.015178 Loss_D_real: -0.017929 Loss_D_fake 0.004291
[839/5000][215/535][86429] Loss_D: -0.023024 Loss_G: -0.004391 Loss_D_real: -0.016508 Loss_D_fake 0.006516
[839/5000][220/535][86430] Loss_D: -0.022928 Loss_G: 0.023188 Loss_D_real: -0.028358 Loss_D_fake -0.005430
[839/5000][225/535][86431] Loss_D: -0.023001 Loss_G: 0.003337 Loss_D_real: -0.020764 Loss_D_fake 0.002237
[839/5000][230/535][86432] Loss_D: -0.023747 Loss_G: -0.003937 Loss_D_real: -0.014795 Loss_D_fake 0.008952
[839/5000][235/535][86433] Loss_D: -0.022863 Loss_G: 0.009957 Loss_D_real: -0.024393 Loss_D_fake -0.001530
[839/5000][240/535][86434] Loss_D: -0.024447 Loss_G: -0.006460 Loss_D_real: -0.009653 Loss_D_fake 0.014794
[839/5000][245/535][86435] Loss_D: -0.022527 Loss_G: 0.006258 Loss_D_real: -0.013816 Loss_D_fake 0.008711
[839/5000][250/535][86436] Loss_D: -0.023618 Loss_G: 0.017107 Loss_D_real: -0.022821 Loss_D_fake 0.000797
[839/5000][255/535][86437] Loss_D: -0.024618 Loss_G: 0.020323 Loss_D_real: -0.020618 Loss_D_fake 0.004000
[839/5000][260/535][86438] Loss_D: -0.023132 Loss_G: -0.002054 Loss_D_real: -0.020957 Loss_D_fake 0.002175
[839/5000][265/535][86439] Loss_D: -0.023278 Loss_G: 0.005119 Loss_D_real: -0.017828 Loss_D_fake 0.005450
[839/5000][270/535][86440] Loss_D: -0.021847 Loss_G: 0.014109 Loss_D_real: -0.026886 Loss_D_fake -0.005039
[839/5000][275/535][86441] Loss_D: -0.023653 Loss_G: -0.005094 Loss_D_real: -0.011027 Loss_D_fake 0.012626
[839/5000][280/535][86442] Loss_D: -0.023281 Loss_G: -0.001096 Loss_D_real: 0.001902 Loss_D_fake 0.025183
[839/5000][285/535][86443] Loss_D: -0.023562 Loss_G: 0.020577 Loss_D_real: -0.031169 Loss_D_fake -0.007606
[839/5000][290/535][86444] Loss_D: -0.023279 Loss_G: -0.002982 Loss_D_real: -0.014588 Loss_D_fake 0.008690
[839/5000][295/535][86445] Loss_D: -0.023447 Loss_G: 0.016583 Loss_D_real: -0.021511 Loss_D_fake 0.001936
[839/5000][300/535][86446] Loss_D: -0.021767 Loss_G: -0.016308 Loss_D_real: -0.002870 Loss_D_fake 0.018897
[839/5000][305/535][86447] Loss_D: -0.022216 Loss_G: 0.005045 Loss_D_real: -0.018758 Loss_D_fake 0.003458
[839/5000][310/535][86448] Loss_D: -0.022890 Loss_G: 0.003750 Loss_D_real: -0.016491 Loss_D_fake 0.006399
[839/5000][315/535][86449] Loss_D: -0.022791 Loss_G: 0.017951 Loss_D_real: -0.035442 Loss_D_fake -0.012650
[839/5000][320/535][86450] Loss_D: -0.023100 Loss_G: 0.011045 Loss_D_real: -0.021164 Loss_D_fake 0.001936
[839/5000][325/535][86451] Loss_D: -0.023064 Loss_G: 0.014156 Loss_D_real: -0.026682 Loss_D_fake -0.003618
[839/5000][330/535][86452] Loss_D: -0.023434 Loss_G: -0.009549 Loss_D_real: 0.003877 Loss_D_fake 0.027311
[839/5000][335/535][86453] Loss_D: -0.022130 Loss_G: 0.023518 Loss_D_real: -0.026313 Loss_D_fake -0.004183
[839/5000][340/535][86454] Loss_D: -0.023984 Loss_G: 0.012910 Loss_D_real: -0.011396 Loss_D_fake 0.012588
[839/5000][345/535][86455] Loss_D: -0.023397 Loss_G: 0.010760 Loss_D_real: -0.025010 Loss_D_fake -0.001612
[839/5000][350/535][86456] Loss_D: -0.021788 Loss_G: 0.007145 Loss_D_real: -0.013486 Loss_D_fake 0.008302
[839/5000][355/535][86457] Loss_D: -0.021771 Loss_G: -0.006421 Loss_D_real: -0.007831 Loss_D_fake 0.013940
[839/5000][360/535][86458] Loss_D: -0.019906 Loss_G: 0.023642 Loss_D_real: -0.028122 Loss_D_fake -0.008216
[839/5000][365/535][86459] Loss_D: -0.022691 Loss_G: 0.019893 Loss_D_real: -0.038266 Loss_D_fake -0.015575
[839/5000][370/535][86460] Loss_D: -0.022233 Loss_G: -0.016787 Loss_D_real: -0.000332 Loss_D_fake 0.021901
[839/5000][375/535][86461] Loss_D: -0.021278 Loss_G: 0.016659 Loss_D_real: -0.036427 Loss_D_fake -0.015149
[839/5000][380/535][86462] Loss_D: -0.023098 Loss_G: 0.012340 Loss_D_real: -0.022629 Loss_D_fake 0.000469
[839/5000][385/535][86463] Loss_D: -0.023709 Loss_G: 0.013986 Loss_D_real: -0.013948 Loss_D_fake 0.009761
[839/5000][390/535][86464] Loss_D: -0.020986 Loss_G: -0.017888 Loss_D_real: 0.001554 Loss_D_fake 0.022539
[839/5000][395/535][86465] Loss_D: -0.022641 Loss_G: 0.025990 Loss_D_real: -0.025225 Loss_D_fake -0.002584
[839/5000][400/535][86466] Loss_D: -0.022509 Loss_G: 0.006298 Loss_D_real: -0.023244 Loss_D_fake -0.000734
[839/5000][405/535][86467] Loss_D: -0.022691 Loss_G: -0.007892 Loss_D_real: -0.009898 Loss_D_fake 0.012793
[839/5000][410/535][86468] Loss_D: -0.021855 Loss_G: 0.010904 Loss_D_real: -0.029298 Loss_D_fake -0.007443
[839/5000][415/535][86469] Loss_D: -0.023806 Loss_G: 0.013795 Loss_D_real: -0.027897 Loss_D_fake -0.004091
[839/5000][420/535][86470] Loss_D: -0.022576 Loss_G: -0.010020 Loss_D_real: -0.001874 Loss_D_fake 0.020702
[839/5000][425/535][86471] Loss_D: -0.022459 Loss_G: 0.004284 Loss_D_real: -0.017867 Loss_D_fake 0.004592
[839/5000][430/535][86472] Loss_D: -0.023432 Loss_G: 0.020693 Loss_D_real: -0.014645 Loss_D_fake 0.008787
[839/5000][435/535][86473] Loss_D: -0.023122 Loss_G: 0.008115 Loss_D_real: -0.014774 Loss_D_fake 0.008348
[839/5000][440/535][86474] Loss_D: -0.021111 Loss_G: 0.007395 Loss_D_real: -0.013583 Loss_D_fake 0.007529
[839/5000][445/535][86475] Loss_D: -0.023414 Loss_G: 0.016108 Loss_D_real: -0.026941 Loss_D_fake -0.003528
[839/5000][450/535][86476] Loss_D: -0.023310 Loss_G: 0.001395 Loss_D_real: -0.002480 Loss_D_fake 0.020830
[839/5000][455/535][86477] Loss_D: -0.022785 Loss_G: 0.007429 Loss_D_real: -0.011636 Loss_D_fake 0.011149
[839/5000][460/535][86478] Loss_D: -0.022142 Loss_G: -0.009683 Loss_D_real: -0.000362 Loss_D_fake 0.021780
[839/5000][465/535][86479] Loss_D: -0.022827 Loss_G: 0.013417 Loss_D_real: -0.025494 Loss_D_fake -0.002667
[839/5000][470/535][86480] Loss_D: -0.024286 Loss_G: 0.002131 Loss_D_real: -0.023446 Loss_D_fake 0.000840
[839/5000][475/535][86481] Loss_D: -0.023872 Loss_G: 0.011403 Loss_D_real: -0.023104 Loss_D_fake 0.000769
[839/5000][480/535][86482] Loss_D: -0.023199 Loss_G: 0.004728 Loss_D_real: -0.020445 Loss_D_fake 0.002755
[839/5000][485/535][86483] Loss_D: -0.023671 Loss_G: 0.012856 Loss_D_real: -0.016274 Loss_D_fake 0.007398
[839/5000][490/535][86484] Loss_D: -0.023743 Loss_G: 0.013337 Loss_D_real: -0.022704 Loss_D_fake 0.001039
[839/5000][495/535][86485] Loss_D: -0.023036 Loss_G: 0.013622 Loss_D_real: -0.023617 Loss_D_fake -0.000581
[839/5000][500/535][86486] Loss_D: -0.023819 Loss_G: 0.011621 Loss_D_real: -0.005104 Loss_D_fake 0.018715
[839/5000][505/535][86487] Loss_D: -0.021977 Loss_G: 0.004333 Loss_D_real: -0.013729 Loss_D_fake 0.008248
[839/5000][510/535][86488] Loss_D: -0.022966 Loss_G: 0.011134 Loss_D_real: -0.023061 Loss_D_fake -0.000095
[839/5000][515/535][86489] Loss_D: -0.022117 Loss_G: -0.013022 Loss_D_real: 0.007647 Loss_D_fake 0.029765
[839/5000][520/535][86490] Loss_D: -0.023743 Loss_G: -0.005633 Loss_D_real: -0.017758 Loss_D_fake 0.005985
[839/5000][525/535][86491] Loss_D: -0.022298 Loss_G: 0.024412 Loss_D_real: -0.029725 Loss_D_fake -0.007427
[839/5000][530/535][86492] Loss_D: -0.022403 Loss_G: 0.003845 Loss_D_real: -0.016481 Loss_D_fake 0.005922
[839/5000][535/535][86493] Loss_D: -0.021656 Loss_G: -0.003971 Loss_D_real: -0.010635 Loss_D_fake 0.011021
[840/5000][5/535][86494] Loss_D: -0.021141 Loss_G: 0.033658 Loss_D_real: -0.029194 Loss_D_fake -0.008053
[840/5000][10/535][86495] Loss_D: -0.023163 Loss_G: 0.005371 Loss_D_real: -0.028757 Loss_D_fake -0.005594
[840/5000][15/535][86496] Loss_D: -0.023352 Loss_G: 0.010333 Loss_D_real: -0.029462 Loss_D_fake -0.006110
[840/5000][20/535][86497] Loss_D: -0.023423 Loss_G: 0.011129 Loss_D_real: -0.027861 Loss_D_fake -0.004438
[840/5000][25/535][86498] Loss_D: -0.024016 Loss_G: 0.009766 Loss_D_real: -0.013938 Loss_D_fake 0.010077
[840/5000][30/535][86499] Loss_D: -0.022797 Loss_G: 0.023069 Loss_D_real: -0.030228 Loss_D_fake -0.007431
[840/5000][35/535][86500] Loss_D: -0.023429 Loss_G: -0.006784 Loss_D_real: -0.018752 Loss_D_fake 0.004677
[840/5000][135/535][86501] Loss_D: -0.023985 Loss_G: 0.007070 Loss_D_real: -0.021021 Loss_D_fake 0.002964
[840/5000][140/535][86502] Loss_D: -0.023940 Loss_G: 0.001553 Loss_D_real: -0.006349 Loss_D_fake 0.017592
[840/5000][145/535][86503] Loss_D: -0.020024 Loss_G: 0.003586 Loss_D_real: -0.015547 Loss_D_fake 0.004478
[840/5000][150/535][86504] Loss_D: -0.021898 Loss_G: -0.001300 Loss_D_real: -0.012517 Loss_D_fake 0.009382
[840/5000][155/535][86505] Loss_D: -0.021921 Loss_G: 0.021063 Loss_D_real: -0.037280 Loss_D_fake -0.015359
[840/5000][160/535][86506] Loss_D: -0.022735 Loss_G: -0.000928 Loss_D_real: -0.009484 Loss_D_fake 0.013251
[840/5000][165/535][86507] Loss_D: -0.019822 Loss_G: 0.023415 Loss_D_real: -0.032575 Loss_D_fake -0.012753
[840/5000][170/535][86508] Loss_D: -0.023235 Loss_G: 0.012876 Loss_D_real: -0.025090 Loss_D_fake -0.001855
[840/5000][175/535][86509] Loss_D: -0.022411 Loss_G: 0.005046 Loss_D_real: -0.020398 Loss_D_fake 0.002013
[840/5000][180/535][86510] Loss_D: -0.021449 Loss_G: 0.008554 Loss_D_real: -0.010601 Loss_D_fake 0.010848
[840/5000][185/535][86511] Loss_D: -0.022769 Loss_G: 0.024958 Loss_D_real: -0.020005 Loss_D_fake 0.002764
[840/5000][190/535][86512] Loss_D: -0.022681 Loss_G: 0.023601 Loss_D_real: -0.026124 Loss_D_fake -0.003443
[840/5000][195/535][86513] Loss_D: -0.022696 Loss_G: -0.003145 Loss_D_real: -0.019273 Loss_D_fake 0.003422
[840/5000][200/535][86514] Loss_D: -0.021902 Loss_G: -0.001607 Loss_D_real: -0.016712 Loss_D_fake 0.005190
[840/5000][205/535][86515] Loss_D: -0.022118 Loss_G: 0.019939 Loss_D_real: -0.031409 Loss_D_fake -0.009291
[840/5000][210/535][86516] Loss_D: -0.022376 Loss_G: 0.022126 Loss_D_real: -0.038847 Loss_D_fake -0.016471
[840/5000][215/535][86517] Loss_D: -0.022055 Loss_G: 0.005744 Loss_D_real: -0.011236 Loss_D_fake 0.010819
[840/5000][220/535][86518] Loss_D: -0.023115 Loss_G: 0.001269 Loss_D_real: -0.019636 Loss_D_fake 0.003479
[840/5000][225/535][86519] Loss_D: -0.022980 Loss_G: 0.009831 Loss_D_real: -0.018687 Loss_D_fake 0.004292
[840/5000][230/535][86520] Loss_D: -0.023712 Loss_G: -0.002299 Loss_D_real: -0.015536 Loss_D_fake 0.008176
[840/5000][235/535][86521] Loss_D: -0.022633 Loss_G: 0.001856 Loss_D_real: -0.007839 Loss_D_fake 0.014794
[840/5000][240/535][86522] Loss_D: -0.022788 Loss_G: -0.000873 Loss_D_real: -0.022768 Loss_D_fake 0.000021
[840/5000][245/535][86523] Loss_D: -0.022440 Loss_G: 0.024260 Loss_D_real: -0.029292 Loss_D_fake -0.006851
[840/5000][250/535][86524] Loss_D: -0.023050 Loss_G: 0.019819 Loss_D_real: -0.034786 Loss_D_fake -0.011736
[840/5000][255/535][86525] Loss_D: -0.023100 Loss_G: -0.000803 Loss_D_real: -0.011368 Loss_D_fake 0.011732
[840/5000][260/535][86526] Loss_D: -0.021317 Loss_G: 0.000628 Loss_D_real: -0.016108 Loss_D_fake 0.005209
[840/5000][265/535][86527] Loss_D: -0.021274 Loss_G: -0.008564 Loss_D_real: -0.000231 Loss_D_fake 0.021043
[840/5000][270/535][86528] Loss_D: -0.021964 Loss_G: 0.002518 Loss_D_real: -0.017077 Loss_D_fake 0.004887
[840/5000][275/535][86529] Loss_D: -0.021844 Loss_G: 0.005535 Loss_D_real: -0.014093 Loss_D_fake 0.007751
[840/5000][280/535][86530] Loss_D: -0.023816 Loss_G: 0.009979 Loss_D_real: -0.018465 Loss_D_fake 0.005351
[840/5000][285/535][86531] Loss_D: -0.021409 Loss_G: 0.018472 Loss_D_real: -0.029260 Loss_D_fake -0.007851
[840/5000][290/535][86532] Loss_D: -0.022988 Loss_G: 0.002680 Loss_D_real: -0.009796 Loss_D_fake 0.013193
[840/5000][295/535][86533] Loss_D: -0.023036 Loss_G: 0.010449 Loss_D_real: -0.015118 Loss_D_fake 0.007918
[840/5000][300/535][86534] Loss_D: -0.022842 Loss_G: 0.023708 Loss_D_real: -0.023416 Loss_D_fake -0.000574
[840/5000][305/535][86535] Loss_D: -0.023503 Loss_G: -0.006912 Loss_D_real: -0.008336 Loss_D_fake 0.015167
[840/5000][310/535][86536] Loss_D: -0.022835 Loss_G: 0.012310 Loss_D_real: -0.021430 Loss_D_fake 0.001405
[840/5000][315/535][86537] Loss_D: -0.023623 Loss_G: -0.002262 Loss_D_real: -0.008529 Loss_D_fake 0.015093
[840/5000][320/535][86538] Loss_D: -0.021701 Loss_G: 0.032581 Loss_D_real: -0.035321 Loss_D_fake -0.013621
[840/5000][325/535][86539] Loss_D: -0.022135 Loss_G: 0.003836 Loss_D_real: -0.017645 Loss_D_fake 0.004490
[840/5000][330/535][86540] Loss_D: -0.022903 Loss_G: -0.010322 Loss_D_real: -0.015383 Loss_D_fake 0.007520
[840/5000][335/535][86541] Loss_D: -0.022214 Loss_G: 0.012649 Loss_D_real: -0.024769 Loss_D_fake -0.002555
[840/5000][340/535][86542] Loss_D: -0.023195 Loss_G: 0.015664 Loss_D_real: -0.025315 Loss_D_fake -0.002120
[840/5000][345/535][86543] Loss_D: -0.023240 Loss_G: 0.019067 Loss_D_real: -0.027420 Loss_D_fake -0.004179
[840/5000][350/535][86544] Loss_D: -0.022618 Loss_G: 0.011338 Loss_D_real: -0.023083 Loss_D_fake -0.000464
[840/5000][355/535][86545] Loss_D: -0.021625 Loss_G: 0.022107 Loss_D_real: -0.027910 Loss_D_fake -0.006285
[840/5000][360/535][86546] Loss_D: -0.023144 Loss_G: -0.004553 Loss_D_real: -0.014950 Loss_D_fake 0.008195
[840/5000][365/535][86547] Loss_D: -0.022032 Loss_G: -0.013608 Loss_D_real: -0.007369 Loss_D_fake 0.014664
[840/5000][370/535][86548] Loss_D: -0.024730 Loss_G: 0.012363 Loss_D_real: -0.022446 Loss_D_fake 0.002283
[840/5000][375/535][86549] Loss_D: -0.023734 Loss_G: 0.013360 Loss_D_real: -0.019860 Loss_D_fake 0.003874
[840/5000][380/535][86550] Loss_D: -0.022836 Loss_G: 0.009050 Loss_D_real: -0.029041 Loss_D_fake -0.006205
[840/5000][385/535][86551] Loss_D: -0.023190 Loss_G: 0.003818 Loss_D_real: -0.020991 Loss_D_fake 0.002199
[840/5000][390/535][86552] Loss_D: -0.024681 Loss_G: -0.002148 Loss_D_real: -0.018087 Loss_D_fake 0.006594
[840/5000][395/535][86553] Loss_D: -0.023632 Loss_G: 0.010423 Loss_D_real: -0.019400 Loss_D_fake 0.004232
[840/5000][400/535][86554] Loss_D: -0.023931 Loss_G: 0.018547 Loss_D_real: -0.022513 Loss_D_fake 0.001418
[840/5000][405/535][86555] Loss_D: -0.024262 Loss_G: 0.002760 Loss_D_real: -0.006906 Loss_D_fake 0.017357
[840/5000][410/535][86556] Loss_D: -0.022389 Loss_G: 0.015036 Loss_D_real: -0.016160 Loss_D_fake 0.006228
[840/5000][415/535][86557] Loss_D: -0.022294 Loss_G: 0.004879 Loss_D_real: -0.013746 Loss_D_fake 0.008548
[840/5000][420/535][86558] Loss_D: -0.023089 Loss_G: 0.020391 Loss_D_real: -0.026007 Loss_D_fake -0.002918
[840/5000][425/535][86559] Loss_D: -0.024449 Loss_G: 0.012180 Loss_D_real: -0.016229 Loss_D_fake 0.008220
[840/5000][430/535][86560] Loss_D: -0.024105 Loss_G: 0.017441 Loss_D_real: -0.018158 Loss_D_fake 0.005947
[840/5000][435/535][86561] Loss_D: -0.022804 Loss_G: -0.009101 Loss_D_real: -0.005673 Loss_D_fake 0.017132
[840/5000][440/535][86562] Loss_D: -0.021873 Loss_G: 0.024579 Loss_D_real: -0.025924 Loss_D_fake -0.004051
[840/5000][445/535][86563] Loss_D: -0.023824 Loss_G: 0.007113 Loss_D_real: -0.022652 Loss_D_fake 0.001172
[840/5000][450/535][86564] Loss_D: -0.022523 Loss_G: -0.015244 Loss_D_real: -0.004667 Loss_D_fake 0.017856
[840/5000][455/535][86565] Loss_D: -0.023007 Loss_G: -0.007852 Loss_D_real: -0.012690 Loss_D_fake 0.010318
[840/5000][460/535][86566] Loss_D: -0.022036 Loss_G: -0.007483 Loss_D_real: -0.018344 Loss_D_fake 0.003693
[840/5000][465/535][86567] Loss_D: -0.022378 Loss_G: -0.001464 Loss_D_real: 0.005577 Loss_D_fake 0.027956
[840/5000][470/535][86568] Loss_D: -0.024382 Loss_G: 0.028591 Loss_D_real: -0.017538 Loss_D_fake 0.006843
[840/5000][475/535][86569] Loss_D: -0.022620 Loss_G: 0.005979 Loss_D_real: -0.021532 Loss_D_fake 0.001088
[840/5000][480/535][86570] Loss_D: -0.025543 Loss_G: 0.028639 Loss_D_real: -0.029578 Loss_D_fake -0.004035
[840/5000][485/535][86571] Loss_D: -0.022220 Loss_G: -0.009572 Loss_D_real: 0.001617 Loss_D_fake 0.023837
[840/5000][490/535][86572] Loss_D: -0.023224 Loss_G: 0.024018 Loss_D_real: -0.025050 Loss_D_fake -0.001826
[840/5000][495/535][86573] Loss_D: -0.023947 Loss_G: -0.001704 Loss_D_real: -0.001055 Loss_D_fake 0.022893
[840/5000][500/535][86574] Loss_D: -0.022890 Loss_G: 0.018865 Loss_D_real: -0.024717 Loss_D_fake -0.001827
[840/5000][505/535][86575] Loss_D: -0.022902 Loss_G: 0.003442 Loss_D_real: -0.013561 Loss_D_fake 0.009341
[840/5000][510/535][86576] Loss_D: -0.022833 Loss_G: 0.025948 Loss_D_real: -0.021569 Loss_D_fake 0.001264
[840/5000][515/535][86577] Loss_D: -0.021652 Loss_G: -0.011427 Loss_D_real: -0.004831 Loss_D_fake 0.016822
[840/5000][520/535][86578] Loss_D: -0.020533 Loss_G: 0.028581 Loss_D_real: -0.030536 Loss_D_fake -0.010003
[840/5000][525/535][86579] Loss_D: -0.023524 Loss_G: 0.002233 Loss_D_real: -0.018906 Loss_D_fake 0.004618
[840/5000][530/535][86580] Loss_D: -0.023274 Loss_G: 0.006594 Loss_D_real: -0.018275 Loss_D_fake 0.004999
[840/5000][535/535][86581] Loss_D: -0.021916 Loss_G: 0.000168 Loss_D_real: -0.018207 Loss_D_fake 0.003710
[841/5000][5/535][86582] Loss_D: -0.024078 Loss_G: 0.005255 Loss_D_real: -0.014647 Loss_D_fake 0.009432
[841/5000][10/535][86583] Loss_D: -0.023046 Loss_G: 0.012276 Loss_D_real: -0.019648 Loss_D_fake 0.003398
[841/5000][15/535][86584] Loss_D: -0.023595 Loss_G: 0.014349 Loss_D_real: -0.021128 Loss_D_fake 0.002467
[841/5000][20/535][86585] Loss_D: -0.023589 Loss_G: 0.014351 Loss_D_real: -0.026206 Loss_D_fake -0.002618
[841/5000][25/535][86586] Loss_D: -0.022411 Loss_G: 0.018592 Loss_D_real: -0.020589 Loss_D_fake 0.001822
[841/5000][30/535][86587] Loss_D: -0.023613 Loss_G: -0.005726 Loss_D_real: -0.016526 Loss_D_fake 0.007087
[841/5000][35/535][86588] Loss_D: -0.022328 Loss_G: 0.014192 Loss_D_real: -0.028330 Loss_D_fake -0.006002
[841/5000][40/535][86589] Loss_D: -0.022716 Loss_G: 0.000887 Loss_D_real: -0.012742 Loss_D_fake 0.009973
[841/5000][45/535][86590] Loss_D: -0.022114 Loss_G: 0.022520 Loss_D_real: -0.031808 Loss_D_fake -0.009694
[841/5000][50/535][86591] Loss_D: -0.021662 Loss_G: 0.016954 Loss_D_real: -0.026564 Loss_D_fake -0.004903
[841/5000][55/535][86592] Loss_D: -0.022574 Loss_G: 0.012410 Loss_D_real: -0.017879 Loss_D_fake 0.004696
[841/5000][60/535][86593] Loss_D: -0.022930 Loss_G: -0.013577 Loss_D_real: -0.008747 Loss_D_fake 0.014183
[841/5000][65/535][86594] Loss_D: -0.022765 Loss_G: 0.008772 Loss_D_real: -0.018852 Loss_D_fake 0.003914
[841/5000][70/535][86595] Loss_D: -0.023259 Loss_G: 0.020200 Loss_D_real: -0.028287 Loss_D_fake -0.005028
[841/5000][75/535][86596] Loss_D: -0.022905 Loss_G: 0.009057 Loss_D_real: -0.016004 Loss_D_fake 0.006901
[841/5000][80/535][86597] Loss_D: -0.022111 Loss_G: 0.014067 Loss_D_real: -0.034043 Loss_D_fake -0.011932
[841/5000][85/535][86598] Loss_D: -0.023213 Loss_G: 0.003206 Loss_D_real: -0.021317 Loss_D_fake 0.001896
[841/5000][90/535][86599] Loss_D: -0.023420 Loss_G: 0.021196 Loss_D_real: -0.020532 Loss_D_fake 0.002889
[841/5000][95/535][86600] Loss_D: -0.022880 Loss_G: 0.006660 Loss_D_real: -0.015053 Loss_D_fake 0.007827
[841/5000][100/535][86601] Loss_D: -0.023180 Loss_G: 0.015643 Loss_D_real: -0.021047 Loss_D_fake 0.002133
[841/5000][105/535][86602] Loss_D: -0.023405 Loss_G: 0.014517 Loss_D_real: -0.026224 Loss_D_fake -0.002819
[841/5000][110/535][86603] Loss_D: -0.023304 Loss_G: 0.013431 Loss_D_real: -0.021951 Loss_D_fake 0.001353
[841/5000][115/535][86604] Loss_D: -0.023505 Loss_G: 0.002610 Loss_D_real: -0.015113 Loss_D_fake 0.008392
[841/5000][120/535][86605] Loss_D: -0.020730 Loss_G: 0.005923 Loss_D_real: -0.019182 Loss_D_fake 0.001548
[841/5000][125/535][86606] Loss_D: -0.023452 Loss_G: 0.007306 Loss_D_real: -0.016149 Loss_D_fake 0.007303
[841/5000][130/535][86607] Loss_D: -0.023156 Loss_G: 0.017868 Loss_D_real: -0.032362 Loss_D_fake -0.009206
[841/5000][135/535][86608] Loss_D: -0.023037 Loss_G: -0.008134 Loss_D_real: 0.000998 Loss_D_fake 0.024035
[841/5000][140/535][86609] Loss_D: -0.023020 Loss_G: 0.023850 Loss_D_real: -0.033697 Loss_D_fake -0.010676
[841/5000][145/535][86610] Loss_D: -0.022807 Loss_G: -0.014976 Loss_D_real: 0.000465 Loss_D_fake 0.023272
[841/5000][150/535][86611] Loss_D: -0.021714 Loss_G: -0.001684 Loss_D_real: -0.025244 Loss_D_fake -0.003530
[841/5000][155/535][86612] Loss_D: -0.022691 Loss_G: 0.013387 Loss_D_real: -0.021459 Loss_D_fake 0.001232
[841/5000][160/535][86613] Loss_D: -0.020748 Loss_G: 0.017232 Loss_D_real: -0.022387 Loss_D_fake -0.001639
[841/5000][165/535][86614] Loss_D: -0.022352 Loss_G: 0.001301 Loss_D_real: -0.021733 Loss_D_fake 0.000619
[841/5000][170/535][86615] Loss_D: -0.022867 Loss_G: -0.007939 Loss_D_real: -0.018845 Loss_D_fake 0.004022
[841/5000][175/535][86616] Loss_D: -0.024402 Loss_G: 0.002570 Loss_D_real: -0.009501 Loss_D_fake 0.014901
[841/5000][180/535][86617] Loss_D: -0.023510 Loss_G: 0.012694 Loss_D_real: -0.020703 Loss_D_fake 0.002807
[841/5000][185/535][86618] Loss_D: -0.023869 Loss_G: 0.004584 Loss_D_real: -0.007355 Loss_D_fake 0.016514
[841/5000][190/535][86619] Loss_D: -0.022545 Loss_G: 0.006896 Loss_D_real: -0.023940 Loss_D_fake -0.001395
[841/5000][195/535][86620] Loss_D: -0.024179 Loss_G: 0.007018 Loss_D_real: -0.023831 Loss_D_fake 0.000347
[841/5000][200/535][86621] Loss_D: -0.024495 Loss_G: 0.017619 Loss_D_real: -0.029894 Loss_D_fake -0.005398
[841/5000][205/535][86622] Loss_D: -0.022887 Loss_G: 0.013534 Loss_D_real: -0.011213 Loss_D_fake 0.011674
[841/5000][210/535][86623] Loss_D: -0.021324 Loss_G: 0.025548 Loss_D_real: -0.028647 Loss_D_fake -0.007324
[841/5000][215/535][86624] Loss_D: -0.022240 Loss_G: 0.005006 Loss_D_real: -0.027317 Loss_D_fake -0.005077
[841/5000][220/535][86625] Loss_D: -0.022644 Loss_G: 0.008517 Loss_D_real: -0.029721 Loss_D_fake -0.007077
[841/5000][225/535][86626] Loss_D: -0.021296 Loss_G: 0.014905 Loss_D_real: -0.010663 Loss_D_fake 0.010633
[841/5000][230/535][86627] Loss_D: -0.022501 Loss_G: 0.018819 Loss_D_real: -0.021695 Loss_D_fake 0.000806
[841/5000][235/535][86628] Loss_D: -0.024813 Loss_G: 0.000530 Loss_D_real: -0.012641 Loss_D_fake 0.012172
[841/5000][240/535][86629] Loss_D: -0.023839 Loss_G: 0.007980 Loss_D_real: -0.021465 Loss_D_fake 0.002374
[841/5000][245/535][86630] Loss_D: -0.023752 Loss_G: 0.016500 Loss_D_real: -0.033164 Loss_D_fake -0.009412
[841/5000][250/535][86631] Loss_D: -0.023695 Loss_G: -0.013842 Loss_D_real: -0.000744 Loss_D_fake 0.022951
[841/5000][255/535][86632] Loss_D: -0.022231 Loss_G: 0.002133 Loss_D_real: -0.010046 Loss_D_fake 0.012184
[841/5000][260/535][86633] Loss_D: -0.021868 Loss_G: 0.025977 Loss_D_real: -0.029291 Loss_D_fake -0.007423
[841/5000][265/535][86634] Loss_D: -0.022551 Loss_G: 0.015180 Loss_D_real: -0.023106 Loss_D_fake -0.000555
[841/5000][270/535][86635] Loss_D: -0.023294 Loss_G: 0.013497 Loss_D_real: -0.013666 Loss_D_fake 0.009629
[841/5000][275/535][86636] Loss_D: -0.023695 Loss_G: 0.000797 Loss_D_real: -0.014327 Loss_D_fake 0.009368
[841/5000][280/535][86637] Loss_D: -0.022861 Loss_G: 0.015095 Loss_D_real: -0.015023 Loss_D_fake 0.007838
[841/5000][285/535][86638] Loss_D: -0.024719 Loss_G: 0.004725 Loss_D_real: -0.012891 Loss_D_fake 0.011828
[841/5000][290/535][86639] Loss_D: -0.024427 Loss_G: 0.015098 Loss_D_real: -0.023990 Loss_D_fake 0.000437
[841/5000][295/535][86640] Loss_D: -0.023931 Loss_G: 0.011356 Loss_D_real: -0.026611 Loss_D_fake -0.002679
[841/5000][300/535][86641] Loss_D: -0.024108 Loss_G: -0.005724 Loss_D_real: -0.017464 Loss_D_fake 0.006644
[841/5000][305/535][86642] Loss_D: -0.023195 Loss_G: -0.008495 Loss_D_real: 0.001506 Loss_D_fake 0.024701
[841/5000][310/535][86643] Loss_D: -0.021482 Loss_G: 0.033435 Loss_D_real: -0.029249 Loss_D_fake -0.007767
[841/5000][315/535][86644] Loss_D: -0.022181 Loss_G: -0.010023 Loss_D_real: -0.004685 Loss_D_fake 0.017496
[841/5000][320/535][86645] Loss_D: -0.023640 Loss_G: 0.023165 Loss_D_real: -0.022002 Loss_D_fake 0.001637
[841/5000][325/535][86646] Loss_D: -0.022941 Loss_G: 0.000574 Loss_D_real: -0.015845 Loss_D_fake 0.007096
[841/5000][330/535][86647] Loss_D: -0.022795 Loss_G: 0.020907 Loss_D_real: -0.019634 Loss_D_fake 0.003161
[841/5000][335/535][86648] Loss_D: -0.022530 Loss_G: -0.003028 Loss_D_real: -0.011193 Loss_D_fake 0.011338
[841/5000][340/535][86649] Loss_D: -0.023451 Loss_G: 0.016419 Loss_D_real: -0.020732 Loss_D_fake 0.002719
[841/5000][345/535][86650] Loss_D: -0.022842 Loss_G: 0.018165 Loss_D_real: -0.025779 Loss_D_fake -0.002937
[841/5000][350/535][86651] Loss_D: -0.021958 Loss_G: 0.009998 Loss_D_real: -0.023234 Loss_D_fake -0.001276
[841/5000][355/535][86652] Loss_D: -0.022039 Loss_G: 0.016546 Loss_D_real: -0.024306 Loss_D_fake -0.002267
[841/5000][360/535][86653] Loss_D: -0.023347 Loss_G: -0.000148 Loss_D_real: -0.015755 Loss_D_fake 0.007591
[841/5000][365/535][86654] Loss_D: -0.023019 Loss_G: 0.010518 Loss_D_real: -0.020345 Loss_D_fake 0.002674
[841/5000][370/535][86655] Loss_D: -0.022807 Loss_G: 0.022544 Loss_D_real: -0.031889 Loss_D_fake -0.009082
[841/5000][375/535][86656] Loss_D: -0.023681 Loss_G: 0.003153 Loss_D_real: -0.024827 Loss_D_fake -0.001146
[841/5000][380/535][86657] Loss_D: -0.023556 Loss_G: 0.010189 Loss_D_real: -0.023748 Loss_D_fake -0.000192
[841/5000][385/535][86658] Loss_D: -0.022777 Loss_G: 0.013934 Loss_D_real: -0.029098 Loss_D_fake -0.006321
[841/5000][390/535][86659] Loss_D: -0.021980 Loss_G: 0.022714 Loss_D_real: -0.027871 Loss_D_fake -0.005891
[841/5000][395/535][86660] Loss_D: -0.022735 Loss_G: -0.009818 Loss_D_real: -0.006711 Loss_D_fake 0.016024
[841/5000][400/535][86661] Loss_D: -0.021476 Loss_G: 0.010603 Loss_D_real: -0.019400 Loss_D_fake 0.002077
[841/5000][405/535][86662] Loss_D: -0.022491 Loss_G: 0.003222 Loss_D_real: -0.024005 Loss_D_fake -0.001514
[841/5000][410/535][86663] Loss_D: -0.023180 Loss_G: 0.019431 Loss_D_real: -0.013791 Loss_D_fake 0.009389
[841/5000][415/535][86664] Loss_D: -0.021697 Loss_G: 0.022336 Loss_D_real: -0.029821 Loss_D_fake -0.008124
[841/5000][420/535][86665] Loss_D: -0.023467 Loss_G: 0.001412 Loss_D_real: -0.015250 Loss_D_fake 0.008217
[841/5000][425/535][86666] Loss_D: -0.022605 Loss_G: 0.000654 Loss_D_real: -0.021919 Loss_D_fake 0.000686
[841/5000][430/535][86667] Loss_D: -0.022968 Loss_G: 0.016500 Loss_D_real: -0.023751 Loss_D_fake -0.000784
[841/5000][435/535][86668] Loss_D: -0.023313 Loss_G: 0.002724 Loss_D_real: -0.027740 Loss_D_fake -0.004427
[841/5000][440/535][86669] Loss_D: -0.022104 Loss_G: 0.021178 Loss_D_real: -0.034483 Loss_D_fake -0.012379
[841/5000][445/535][86670] Loss_D: -0.022659 Loss_G: 0.000300 Loss_D_real: -0.017981 Loss_D_fake 0.004678
[841/5000][450/535][86671] Loss_D: -0.022432 Loss_G: -0.007837 Loss_D_real: -0.009414 Loss_D_fake 0.013017
[841/5000][455/535][86672] Loss_D: -0.022527 Loss_G: 0.031971 Loss_D_real: -0.033123 Loss_D_fake -0.010597
[841/5000][460/535][86673] Loss_D: -0.022956 Loss_G: 0.013944 Loss_D_real: -0.015867 Loss_D_fake 0.007089
[841/5000][465/535][86674] Loss_D: -0.023097 Loss_G: 0.006896 Loss_D_real: -0.027049 Loss_D_fake -0.003951
[841/5000][470/535][86675] Loss_D: -0.021264 Loss_G: -0.003835 Loss_D_real: -0.021008 Loss_D_fake 0.000256
[841/5000][475/535][86676] Loss_D: -0.023225 Loss_G: -0.000213 Loss_D_real: -0.023190 Loss_D_fake 0.000035
[841/5000][480/535][86677] Loss_D: -0.023621 Loss_G: 0.011363 Loss_D_real: -0.006089 Loss_D_fake 0.017532
[841/5000][485/535][86678] Loss_D: -0.022591 Loss_G: -0.000552 Loss_D_real: -0.005850 Loss_D_fake 0.016741
[841/5000][490/535][86679] Loss_D: -0.021566 Loss_G: 0.014599 Loss_D_real: -0.017488 Loss_D_fake 0.004078
[841/5000][495/535][86680] Loss_D: -0.021840 Loss_G: 0.013992 Loss_D_real: -0.031826 Loss_D_fake -0.009986
[841/5000][500/535][86681] Loss_D: -0.023111 Loss_G: 0.020497 Loss_D_real: -0.031256 Loss_D_fake -0.008144
[841/5000][505/535][86682] Loss_D: -0.023818 Loss_G: 0.027112 Loss_D_real: -0.030473 Loss_D_fake -0.006656
[841/5000][510/535][86683] Loss_D: -0.024193 Loss_G: 0.001790 Loss_D_real: -0.013491 Loss_D_fake 0.010702
[841/5000][515/535][86684] Loss_D: -0.023831 Loss_G: 0.004882 Loss_D_real: -0.020385 Loss_D_fake 0.003446
[841/5000][520/535][86685] Loss_D: -0.024353 Loss_G: 0.015902 Loss_D_real: -0.017572 Loss_D_fake 0.006781
[841/5000][525/535][86686] Loss_D: -0.024069 Loss_G: 0.030833 Loss_D_real: -0.023810 Loss_D_fake 0.000258
[841/5000][530/535][86687] Loss_D: -0.023181 Loss_G: 0.022716 Loss_D_real: -0.027905 Loss_D_fake -0.004724
[841/5000][535/535][86688] Loss_D: -0.023337 Loss_G: -0.010569 Loss_D_real: -0.016376 Loss_D_fake 0.006962
[842/5000][5/535][86689] Loss_D: -0.024505 Loss_G: -0.001288 Loss_D_real: -0.015083 Loss_D_fake 0.009422
[842/5000][10/535][86690] Loss_D: -0.023750 Loss_G: 0.000364 Loss_D_real: -0.014728 Loss_D_fake 0.009022
[842/5000][15/535][86691] Loss_D: -0.024023 Loss_G: 0.022699 Loss_D_real: -0.024730 Loss_D_fake -0.000707
[842/5000][20/535][86692] Loss_D: -0.023124 Loss_G: 0.009754 Loss_D_real: -0.018336 Loss_D_fake 0.004788
[842/5000][25/535][86693] Loss_D: -0.022176 Loss_G: 0.019058 Loss_D_real: -0.019881 Loss_D_fake 0.002295
[842/5000][30/535][86694] Loss_D: -0.022287 Loss_G: 0.022718 Loss_D_real: -0.037979 Loss_D_fake -0.015692
[842/5000][35/535][86695] Loss_D: -0.023162 Loss_G: 0.012027 Loss_D_real: -0.026786 Loss_D_fake -0.003625
[842/5000][40/535][86696] Loss_D: -0.024292 Loss_G: 0.016465 Loss_D_real: -0.020629 Loss_D_fake 0.003663
[842/5000][45/535][86697] Loss_D: -0.023721 Loss_G: -0.007936 Loss_D_real: -0.008033 Loss_D_fake 0.015688
[842/5000][50/535][86698] Loss_D: -0.023416 Loss_G: 0.005838 Loss_D_real: -0.023470 Loss_D_fake -0.000054
[842/5000][55/535][86699] Loss_D: -0.023297 Loss_G: 0.018181 Loss_D_real: -0.030299 Loss_D_fake -0.007001
[842/5000][60/535][86700] Loss_D: -0.023850 Loss_G: 0.009020 Loss_D_real: -0.034995 Loss_D_fake -0.011145
[842/5000][65/535][86701] Loss_D: -0.022624 Loss_G: -0.010049 Loss_D_real: 0.001683 Loss_D_fake 0.024307
[842/5000][70/535][86702] Loss_D: -0.023147 Loss_G: -0.002695 Loss_D_real: -0.019473 Loss_D_fake 0.003674
[842/5000][75/535][86703] Loss_D: -0.024011 Loss_G: 0.012528 Loss_D_real: -0.016622 Loss_D_fake 0.007389
[842/5000][80/535][86704] Loss_D: -0.023031 Loss_G: -0.012642 Loss_D_real: -0.006015 Loss_D_fake 0.017016
[842/5000][85/535][86705] Loss_D: -0.023876 Loss_G: 0.004716 Loss_D_real: -0.008118 Loss_D_fake 0.015757
[842/5000][90/535][86706] Loss_D: -0.025038 Loss_G: 0.022390 Loss_D_real: -0.020298 Loss_D_fake 0.004740
[842/5000][95/535][86707] Loss_D: -0.023647 Loss_G: 0.013218 Loss_D_real: -0.014537 Loss_D_fake 0.009110
[842/5000][100/535][86708] Loss_D: -0.023409 Loss_G: 0.002008 Loss_D_real: -0.023950 Loss_D_fake -0.000541
[842/5000][105/535][86709] Loss_D: -0.023734 Loss_G: 0.020606 Loss_D_real: -0.023453 Loss_D_fake 0.000281
[842/5000][110/535][86710] Loss_D: -0.020356 Loss_G: -0.009874 Loss_D_real: -0.007701 Loss_D_fake 0.012655
[842/5000][115/535][86711] Loss_D: -0.023472 Loss_G: 0.006570 Loss_D_real: -0.003480 Loss_D_fake 0.019992
[842/5000][120/535][86712] Loss_D: -0.023289 Loss_G: 0.013487 Loss_D_real: -0.025536 Loss_D_fake -0.002246
[842/5000][125/535][86713] Loss_D: -0.024209 Loss_G: 0.011314 Loss_D_real: -0.023242 Loss_D_fake 0.000967
[842/5000][130/535][86714] Loss_D: -0.023028 Loss_G: 0.022552 Loss_D_real: -0.034957 Loss_D_fake -0.011929
[842/5000][135/535][86715] Loss_D: -0.023330 Loss_G: 0.003629 Loss_D_real: -0.017735 Loss_D_fake 0.005595
[842/5000][140/535][86716] Loss_D: -0.022709 Loss_G: 0.024975 Loss_D_real: -0.033688 Loss_D_fake -0.010979
[842/5000][145/535][86717] Loss_D: -0.022906 Loss_G: -0.003907 Loss_D_real: -0.009423 Loss_D_fake 0.013483
[842/5000][150/535][86718] Loss_D: -0.021396 Loss_G: 0.009221 Loss_D_real: -0.028563 Loss_D_fake -0.007167
[842/5000][155/535][86719] Loss_D: -0.022741 Loss_G: 0.007294 Loss_D_real: -0.010258 Loss_D_fake 0.012484
[842/5000][160/535][86720] Loss_D: -0.022480 Loss_G: -0.004884 Loss_D_real: -0.015839 Loss_D_fake 0.006641
[842/5000][165/535][86721] Loss_D: -0.023383 Loss_G: 0.029634 Loss_D_real: -0.019530 Loss_D_fake 0.003853
[842/5000][170/535][86722] Loss_D: -0.022353 Loss_G: 0.025879 Loss_D_real: -0.027999 Loss_D_fake -0.005645
[842/5000][175/535][86723] Loss_D: -0.023119 Loss_G: -0.005787 Loss_D_real: -0.013457 Loss_D_fake 0.009662
[842/5000][180/535][86724] Loss_D: -0.023526 Loss_G: -0.017312 Loss_D_real: -0.009630 Loss_D_fake 0.013896
[842/5000][185/535][86725] Loss_D: -0.021318 Loss_G: -0.001382 Loss_D_real: -0.008531 Loss_D_fake 0.012786
[842/5000][190/535][86726] Loss_D: -0.022405 Loss_G: 0.019054 Loss_D_real: -0.029244 Loss_D_fake -0.006839
[842/5000][195/535][86727] Loss_D: -0.022248 Loss_G: 0.013064 Loss_D_real: -0.031344 Loss_D_fake -0.009096
[842/5000][200/535][86728] Loss_D: -0.023214 Loss_G: -0.002726 Loss_D_real: -0.011895 Loss_D_fake 0.011318
[842/5000][205/535][86729] Loss_D: -0.022187 Loss_G: 0.005900 Loss_D_real: -0.015807 Loss_D_fake 0.006381
[842/5000][210/535][86730] Loss_D: -0.024202 Loss_G: 0.026978 Loss_D_real: -0.025866 Loss_D_fake -0.001664
[842/5000][215/535][86731] Loss_D: -0.023445 Loss_G: -0.001570 Loss_D_real: -0.009623 Loss_D_fake 0.013822
[842/5000][220/535][86732] Loss_D: -0.023132 Loss_G: 0.002870 Loss_D_real: -0.008211 Loss_D_fake 0.014921
[842/5000][225/535][86733] Loss_D: -0.022160 Loss_G: 0.017334 Loss_D_real: -0.034579 Loss_D_fake -0.012419
[842/5000][230/535][86734] Loss_D: -0.023289 Loss_G: -0.013621 Loss_D_real: -0.010239 Loss_D_fake 0.013050
[842/5000][235/535][86735] Loss_D: -0.022260 Loss_G: 0.004624 Loss_D_real: -0.016030 Loss_D_fake 0.006229
[842/5000][240/535][86736] Loss_D: -0.023029 Loss_G: 0.016426 Loss_D_real: -0.024731 Loss_D_fake -0.001701
[842/5000][245/535][86737] Loss_D: -0.023691 Loss_G: 0.006699 Loss_D_real: -0.019438 Loss_D_fake 0.004253
[842/5000][250/535][86738] Loss_D: -0.022337 Loss_G: 0.008811 Loss_D_real: -0.029184 Loss_D_fake -0.006847
[842/5000][255/535][86739] Loss_D: -0.021824 Loss_G: -0.004944 Loss_D_real: -0.012653 Loss_D_fake 0.009172
[842/5000][260/535][86740] Loss_D: -0.022487 Loss_G: 0.023206 Loss_D_real: -0.020084 Loss_D_fake 0.002403
[842/5000][265/535][86741] Loss_D: -0.022662 Loss_G: 0.001562 Loss_D_real: -0.019932 Loss_D_fake 0.002730
[842/5000][270/535][86742] Loss_D: -0.022525 Loss_G: 0.011657 Loss_D_real: -0.025556 Loss_D_fake -0.003032
[842/5000][275/535][86743] Loss_D: -0.023429 Loss_G: 0.009974 Loss_D_real: -0.031214 Loss_D_fake -0.007785
[842/5000][280/535][86744] Loss_D: -0.023725 Loss_G: -0.002817 Loss_D_real: -0.015335 Loss_D_fake 0.008390
[842/5000][285/535][86745] Loss_D: -0.022056 Loss_G: 0.008560 Loss_D_real: -0.022505 Loss_D_fake -0.000449
[842/5000][290/535][86746] Loss_D: -0.022675 Loss_G: 0.018930 Loss_D_real: -0.013261 Loss_D_fake 0.009414
[842/5000][295/535][86747] Loss_D: -0.021511 Loss_G: 0.012831 Loss_D_real: -0.018144 Loss_D_fake 0.003367
[842/5000][300/535][86748] Loss_D: -0.022801 Loss_G: 0.023866 Loss_D_real: -0.027458 Loss_D_fake -0.004657
[842/5000][305/535][86749] Loss_D: -0.023678 Loss_G: -0.006778 Loss_D_real: -0.015567 Loss_D_fake 0.008112
[842/5000][310/535][86750] Loss_D: -0.023471 Loss_G: 0.020328 Loss_D_real: -0.020664 Loss_D_fake 0.002807
[842/5000][315/535][86751] Loss_D: -0.023991 Loss_G: -0.004922 Loss_D_real: -0.006833 Loss_D_fake 0.017158
[842/5000][320/535][86752] Loss_D: -0.025235 Loss_G: 0.015493 Loss_D_real: -0.023664 Loss_D_fake 0.001571
[842/5000][325/535][86753] Loss_D: -0.024357 Loss_G: 0.007176 Loss_D_real: -0.014632 Loss_D_fake 0.009725
[842/5000][330/535][86754] Loss_D: -0.023150 Loss_G: 0.003771 Loss_D_real: -0.021331 Loss_D_fake 0.001819
[842/5000][335/535][86755] Loss_D: -0.023657 Loss_G: 0.020300 Loss_D_real: -0.022908 Loss_D_fake 0.000749
[842/5000][340/535][86756] Loss_D: -0.023355 Loss_G: 0.017891 Loss_D_real: -0.020216 Loss_D_fake 0.003139
[842/5000][345/535][86757] Loss_D: -0.023172 Loss_G: 0.013187 Loss_D_real: -0.017493 Loss_D_fake 0.005679
[842/5000][350/535][86758] Loss_D: -0.022631 Loss_G: 0.007970 Loss_D_real: -0.017555 Loss_D_fake 0.005076
[842/5000][355/535][86759] Loss_D: -0.024101 Loss_G: 0.000772 Loss_D_real: -0.028891 Loss_D_fake -0.004789
[842/5000][360/535][86760] Loss_D: -0.023211 Loss_G: 0.005658 Loss_D_real: -0.010335 Loss_D_fake 0.012877
[842/5000][365/535][86761] Loss_D: -0.022081 Loss_G: -0.009242 Loss_D_real: -0.007886 Loss_D_fake 0.014195
[842/5000][370/535][86762] Loss_D: -0.022220 Loss_G: -0.013191 Loss_D_real: -0.007881 Loss_D_fake 0.014338
[842/5000][375/535][86763] Loss_D: -0.023012 Loss_G: 0.015133 Loss_D_real: -0.023624 Loss_D_fake -0.000612
[842/5000][380/535][86764] Loss_D: -0.020848 Loss_G: 0.012735 Loss_D_real: -0.029133 Loss_D_fake -0.008285
[842/5000][385/535][86765] Loss_D: -0.021694 Loss_G: 0.028943 Loss_D_real: -0.031740 Loss_D_fake -0.010046
[842/5000][390/535][86766] Loss_D: -0.022745 Loss_G: -0.003343 Loss_D_real: -0.003639 Loss_D_fake 0.019105
[842/5000][395/535][86767] Loss_D: -0.022090 Loss_G: 0.016782 Loss_D_real: -0.022948 Loss_D_fake -0.000858
[842/5000][400/535][86768] Loss_D: -0.022843 Loss_G: 0.001072 Loss_D_real: -0.022031 Loss_D_fake 0.000812
[842/5000][405/535][86769] Loss_D: -0.022918 Loss_G: 0.002797 Loss_D_real: -0.013739 Loss_D_fake 0.009179
[842/5000][410/535][86770] Loss_D: -0.022425 Loss_G: 0.017609 Loss_D_real: -0.023106 Loss_D_fake -0.000680
[842/5000][415/535][86771] Loss_D: -0.021488 Loss_G: 0.002267 Loss_D_real: -0.011278 Loss_D_fake 0.010209
[842/5000][420/535][86772] Loss_D: -0.022615 Loss_G: 0.009314 Loss_D_real: -0.019398 Loss_D_fake 0.003217
[842/5000][425/535][86773] Loss_D: -0.023295 Loss_G: 0.024712 Loss_D_real: -0.026747 Loss_D_fake -0.003452
[842/5000][430/535][86774] Loss_D: -0.023449 Loss_G: 0.004197 Loss_D_real: -0.010557 Loss_D_fake 0.012892
[842/5000][435/535][86775] Loss_D: -0.022880 Loss_G: -0.005640 Loss_D_real: -0.012871 Loss_D_fake 0.010009
[842/5000][440/535][86776] Loss_D: -0.022059 Loss_G: 0.014301 Loss_D_real: -0.026985 Loss_D_fake -0.004926
[842/5000][445/535][86777] Loss_D: -0.022890 Loss_G: 0.002939 Loss_D_real: -0.020854 Loss_D_fake 0.002036
[842/5000][450/535][86778] Loss_D: -0.023283 Loss_G: 0.024410 Loss_D_real: -0.017355 Loss_D_fake 0.005928
[842/5000][455/535][86779] Loss_D: -0.023922 Loss_G: -0.012891 Loss_D_real: -0.014215 Loss_D_fake 0.009708
[842/5000][460/535][86780] Loss_D: -0.022516 Loss_G: -0.002707 Loss_D_real: -0.002150 Loss_D_fake 0.020366
[842/5000][465/535][86781] Loss_D: -0.023413 Loss_G: 0.016716 Loss_D_real: -0.021629 Loss_D_fake 0.001784
[842/5000][470/535][86782] Loss_D: -0.023014 Loss_G: 0.024138 Loss_D_real: -0.023490 Loss_D_fake -0.000476
[842/5000][475/535][86783] Loss_D: -0.024195 Loss_G: -0.005412 Loss_D_real: -0.012669 Loss_D_fake 0.011526
[842/5000][480/535][86784] Loss_D: -0.023383 Loss_G: 0.008149 Loss_D_real: -0.015300 Loss_D_fake 0.008083
[842/5000][485/535][86785] Loss_D: -0.023704 Loss_G: 0.021101 Loss_D_real: -0.018692 Loss_D_fake 0.005013
[842/5000][490/535][86786] Loss_D: -0.023747 Loss_G: 0.003784 Loss_D_real: -0.017451 Loss_D_fake 0.006295
[842/5000][495/535][86787] Loss_D: -0.023698 Loss_G: -0.007735 Loss_D_real: -0.014746 Loss_D_fake 0.008952
[842/5000][500/535][86788] Loss_D: -0.023446 Loss_G: 0.017546 Loss_D_real: -0.028295 Loss_D_fake -0.004849
[842/5000][505/535][86789] Loss_D: -0.023311 Loss_G: -0.003329 Loss_D_real: -0.013080 Loss_D_fake 0.010231
[842/5000][510/535][86790] Loss_D: -0.023063 Loss_G: -0.001027 Loss_D_real: -0.017109 Loss_D_fake 0.005954
[842/5000][515/535][86791] Loss_D: -0.022541 Loss_G: 0.001487 Loss_D_real: -0.009842 Loss_D_fake 0.012698
[842/5000][520/535][86792] Loss_D: -0.023300 Loss_G: 0.012948 Loss_D_real: -0.022116 Loss_D_fake 0.001184
[842/5000][525/535][86793] Loss_D: -0.023557 Loss_G: 0.017260 Loss_D_real: -0.029048 Loss_D_fake -0.005491
[842/5000][530/535][86794] Loss_D: -0.023122 Loss_G: 0.003024 Loss_D_real: -0.016041 Loss_D_fake 0.007081
[842/5000][535/535][86795] Loss_D: -0.018074 Loss_G: -0.040516 Loss_D_real: -0.004890 Loss_D_fake 0.013183
[843/5000][5/535][86796] Loss_D: -0.021350 Loss_G: 0.009176 Loss_D_real: -0.014925 Loss_D_fake 0.006425
[843/5000][10/535][86797] Loss_D: -0.022967 Loss_G: 0.019986 Loss_D_real: -0.015504 Loss_D_fake 0.007463
[843/5000][15/535][86798] Loss_D: -0.022484 Loss_G: 0.014334 Loss_D_real: -0.020073 Loss_D_fake 0.002411
[843/5000][20/535][86799] Loss_D: -0.021207 Loss_G: -0.011381 Loss_D_real: 0.000859 Loss_D_fake 0.022066
[843/5000][25/535][86800] Loss_D: -0.022166 Loss_G: 0.024414 Loss_D_real: -0.030386 Loss_D_fake -0.008220
[843/5000][30/535][86801] Loss_D: -0.024252 Loss_G: 0.004029 Loss_D_real: -0.017207 Loss_D_fake 0.007044
[843/5000][35/535][86802] Loss_D: -0.022304 Loss_G: 0.007523 Loss_D_real: -0.018591 Loss_D_fake 0.003712
[843/5000][40/535][86803] Loss_D: -0.024268 Loss_G: 0.004995 Loss_D_real: -0.004246 Loss_D_fake 0.020023
[843/5000][45/535][86804] Loss_D: -0.021121 Loss_G: 0.015477 Loss_D_real: -0.025469 Loss_D_fake -0.004347
[843/5000][50/535][86805] Loss_D: -0.023528 Loss_G: 0.005587 Loss_D_real: -0.018743 Loss_D_fake 0.004785
[843/5000][55/535][86806] Loss_D: -0.023255 Loss_G: 0.008957 Loss_D_real: -0.019001 Loss_D_fake 0.004253
[843/5000][60/535][86807] Loss_D: -0.024597 Loss_G: 0.011318 Loss_D_real: -0.018546 Loss_D_fake 0.006050
[843/5000][65/535][86808] Loss_D: -0.023398 Loss_G: 0.006433 Loss_D_real: -0.016323 Loss_D_fake 0.007075
[843/5000][70/535][86809] Loss_D: -0.022971 Loss_G: -0.007624 Loss_D_real: -0.011927 Loss_D_fake 0.011043
[843/5000][75/535][86810] Loss_D: -0.024185 Loss_G: -0.009177 Loss_D_real: -0.014165 Loss_D_fake 0.010020
[843/5000][80/535][86811] Loss_D: -0.023769 Loss_G: -0.010034 Loss_D_real: -0.006873 Loss_D_fake 0.016896
[843/5000][85/535][86812] Loss_D: -0.023725 Loss_G: 0.016575 Loss_D_real: -0.031099 Loss_D_fake -0.007375
[843/5000][90/535][86813] Loss_D: -0.023291 Loss_G: 0.004579 Loss_D_real: -0.012421 Loss_D_fake 0.010871
[843/5000][95/535][86814] Loss_D: -0.023683 Loss_G: 0.005028 Loss_D_real: 0.000630 Loss_D_fake 0.024313
[843/5000][100/535][86815] Loss_D: -0.022270 Loss_G: 0.019262 Loss_D_real: -0.024946 Loss_D_fake -0.002676
[843/5000][105/535][86816] Loss_D: -0.023249 Loss_G: 0.009432 Loss_D_real: -0.016737 Loss_D_fake 0.006511
[843/5000][110/535][86817] Loss_D: -0.023278 Loss_G: 0.001789 Loss_D_real: -0.025915 Loss_D_fake -0.002637
[843/5000][115/535][86818] Loss_D: -0.023192 Loss_G: 0.020227 Loss_D_real: -0.030766 Loss_D_fake -0.007575
[843/5000][120/535][86819] Loss_D: -0.024303 Loss_G: 0.010808 Loss_D_real: -0.031857 Loss_D_fake -0.007554
[843/5000][125/535][86820] Loss_D: -0.023754 Loss_G: -0.009821 Loss_D_real: -0.001476 Loss_D_fake 0.022277
[843/5000][130/535][86821] Loss_D: -0.023882 Loss_G: 0.021188 Loss_D_real: -0.026664 Loss_D_fake -0.002782
[843/5000][135/535][86822] Loss_D: -0.023367 Loss_G: 0.016305 Loss_D_real: -0.024208 Loss_D_fake -0.000842
[843/5000][140/535][86823] Loss_D: -0.025448 Loss_G: 0.013127 Loss_D_real: -0.027811 Loss_D_fake -0.002363
[843/5000][145/535][86824] Loss_D: -0.023123 Loss_G: -0.016172 Loss_D_real: -0.009432 Loss_D_fake 0.013691
[843/5000][150/535][86825] Loss_D: -0.023767 Loss_G: 0.018262 Loss_D_real: -0.020950 Loss_D_fake 0.002817
[843/5000][155/535][86826] Loss_D: -0.023644 Loss_G: -0.006346 Loss_D_real: -0.006153 Loss_D_fake 0.017491
[843/5000][160/535][86827] Loss_D: -0.022669 Loss_G: 0.029722 Loss_D_real: -0.034818 Loss_D_fake -0.012149
[843/5000][165/535][86828] Loss_D: -0.024158 Loss_G: 0.002746 Loss_D_real: -0.011248 Loss_D_fake 0.012910
[843/5000][170/535][86829] Loss_D: -0.021484 Loss_G: 0.019176 Loss_D_real: -0.034944 Loss_D_fake -0.013460
[843/5000][175/535][86830] Loss_D: -0.023301 Loss_G: 0.017970 Loss_D_real: -0.022370 Loss_D_fake 0.000931
[843/5000][180/535][86831] Loss_D: -0.022553 Loss_G: 0.007128 Loss_D_real: -0.019880 Loss_D_fake 0.002673
[843/5000][185/535][86832] Loss_D: -0.022811 Loss_G: -0.002755 Loss_D_real: -0.008318 Loss_D_fake 0.014493
[843/5000][190/535][86833] Loss_D: -0.022209 Loss_G: 0.007870 Loss_D_real: -0.015594 Loss_D_fake 0.006615
[843/5000][195/535][86834] Loss_D: -0.022405 Loss_G: 0.023418 Loss_D_real: -0.028718 Loss_D_fake -0.006313
[843/5000][200/535][86835] Loss_D: -0.021884 Loss_G: 0.002412 Loss_D_real: -0.015929 Loss_D_fake 0.005955
[843/5000][205/535][86836] Loss_D: -0.022469 Loss_G: 0.003021 Loss_D_real: -0.018140 Loss_D_fake 0.004328
[843/5000][210/535][86837] Loss_D: -0.024387 Loss_G: 0.000048 Loss_D_real: -0.013499 Loss_D_fake 0.010888
[843/5000][215/535][86838] Loss_D: -0.024305 Loss_G: 0.012226 Loss_D_real: -0.027147 Loss_D_fake -0.002842
[843/5000][220/535][86839] Loss_D: -0.023104 Loss_G: 0.012799 Loss_D_real: -0.018482 Loss_D_fake 0.004621
[843/5000][225/535][86840] Loss_D: -0.022452 Loss_G: -0.012167 Loss_D_real: 0.000851 Loss_D_fake 0.023304
[843/5000][230/535][86841] Loss_D: -0.022922 Loss_G: 0.016617 Loss_D_real: -0.023768 Loss_D_fake -0.000847
[843/5000][235/535][86842] Loss_D: -0.023248 Loss_G: 0.010870 Loss_D_real: -0.035303 Loss_D_fake -0.012055
[843/5000][240/535][86843] Loss_D: -0.022104 Loss_G: 0.021901 Loss_D_real: -0.029641 Loss_D_fake -0.007538
[843/5000][245/535][86844] Loss_D: -0.021947 Loss_G: -0.014317 Loss_D_real: -0.007385 Loss_D_fake 0.014562
[843/5000][250/535][86845] Loss_D: -0.021972 Loss_G: 0.025453 Loss_D_real: -0.027080 Loss_D_fake -0.005108
[843/5000][255/535][86846] Loss_D: -0.022355 Loss_G: 0.015768 Loss_D_real: -0.031711 Loss_D_fake -0.009357
[843/5000][260/535][86847] Loss_D: -0.023695 Loss_G: 0.013384 Loss_D_real: -0.018650 Loss_D_fake 0.005045
[843/5000][265/535][86848] Loss_D: -0.022256 Loss_G: 0.000883 Loss_D_real: -0.005769 Loss_D_fake 0.016488
[843/5000][270/535][86849] Loss_D: -0.022101 Loss_G: 0.017489 Loss_D_real: -0.030435 Loss_D_fake -0.008335
[843/5000][275/535][86850] Loss_D: -0.024350 Loss_G: 0.007491 Loss_D_real: -0.020465 Loss_D_fake 0.003885
[843/5000][280/535][86851] Loss_D: -0.023232 Loss_G: 0.012050 Loss_D_real: -0.025435 Loss_D_fake -0.002204
[843/5000][285/535][86852] Loss_D: -0.021523 Loss_G: 0.023064 Loss_D_real: -0.035880 Loss_D_fake -0.014358
[843/5000][290/535][86853] Loss_D: -0.022058 Loss_G: 0.009755 Loss_D_real: -0.019210 Loss_D_fake 0.002848
[843/5000][295/535][86854] Loss_D: -0.022456 Loss_G: -0.003179 Loss_D_real: -0.016734 Loss_D_fake 0.005721
[843/5000][300/535][86855] Loss_D: -0.022981 Loss_G: 0.010336 Loss_D_real: -0.022423 Loss_D_fake 0.000558
[843/5000][305/535][86856] Loss_D: -0.022045 Loss_G: -0.004323 Loss_D_real: -0.008173 Loss_D_fake 0.013872
[843/5000][310/535][86857] Loss_D: -0.022254 Loss_G: 0.002551 Loss_D_real: -0.013077 Loss_D_fake 0.009177
[843/5000][315/535][86858] Loss_D: -0.022878 Loss_G: 0.007668 Loss_D_real: -0.017866 Loss_D_fake 0.005012
[843/5000][320/535][86859] Loss_D: -0.021835 Loss_G: 0.005507 Loss_D_real: -0.023478 Loss_D_fake -0.001643
[843/5000][325/535][86860] Loss_D: -0.023025 Loss_G: 0.005062 Loss_D_real: -0.008633 Loss_D_fake 0.014392
[843/5000][330/535][86861] Loss_D: -0.023184 Loss_G: 0.008465 Loss_D_real: -0.009557 Loss_D_fake 0.013627
[843/5000][335/535][86862] Loss_D: -0.022396 Loss_G: -0.005133 Loss_D_real: -0.012487 Loss_D_fake 0.009908
[843/5000][340/535][86863] Loss_D: -0.022603 Loss_G: 0.015971 Loss_D_real: -0.026341 Loss_D_fake -0.003738
[843/5000][345/535][86864] Loss_D: -0.022099 Loss_G: 0.011147 Loss_D_real: -0.018653 Loss_D_fake 0.003446
[843/5000][350/535][86865] Loss_D: -0.022748 Loss_G: 0.009033 Loss_D_real: -0.023708 Loss_D_fake -0.000961
[843/5000][355/535][86866] Loss_D: -0.023012 Loss_G: 0.020394 Loss_D_real: -0.024988 Loss_D_fake -0.001976
[843/5000][360/535][86867] Loss_D: -0.023667 Loss_G: 0.017413 Loss_D_real: -0.015693 Loss_D_fake 0.007974
[843/5000][365/535][86868] Loss_D: -0.022655 Loss_G: -0.007421 Loss_D_real: -0.020034 Loss_D_fake 0.002621
[843/5000][370/535][86869] Loss_D: -0.022799 Loss_G: 0.020982 Loss_D_real: -0.036667 Loss_D_fake -0.013868
[843/5000][375/535][86870] Loss_D: -0.024052 Loss_G: 0.004546 Loss_D_real: -0.018910 Loss_D_fake 0.005142
[843/5000][380/535][86871] Loss_D: -0.023338 Loss_G: 0.026817 Loss_D_real: -0.024356 Loss_D_fake -0.001017
[843/5000][385/535][86872] Loss_D: -0.023415 Loss_G: -0.004776 Loss_D_real: -0.005883 Loss_D_fake 0.017532
[843/5000][390/535][86873] Loss_D: -0.021037 Loss_G: 0.017106 Loss_D_real: -0.027001 Loss_D_fake -0.005964
[843/5000][395/535][86874] Loss_D: -0.022642 Loss_G: 0.013802 Loss_D_real: -0.018087 Loss_D_fake 0.004555
[843/5000][400/535][86875] Loss_D: -0.022396 Loss_G: 0.020770 Loss_D_real: -0.018062 Loss_D_fake 0.004334
[843/5000][405/535][86876] Loss_D: -0.023297 Loss_G: 0.013152 Loss_D_real: -0.019561 Loss_D_fake 0.003736
[843/5000][410/535][86877] Loss_D: -0.023546 Loss_G: -0.008366 Loss_D_real: -0.007277 Loss_D_fake 0.016269
[843/5000][415/535][86878] Loss_D: -0.022966 Loss_G: -0.008211 Loss_D_real: -0.021066 Loss_D_fake 0.001901
[843/5000][420/535][86879] Loss_D: -0.023703 Loss_G: 0.027535 Loss_D_real: -0.030930 Loss_D_fake -0.007227
[843/5000][425/535][86880] Loss_D: -0.025456 Loss_G: -0.003969 Loss_D_real: -0.010864 Loss_D_fake 0.014592
[843/5000][430/535][86881] Loss_D: -0.023581 Loss_G: 0.017964 Loss_D_real: -0.030789 Loss_D_fake -0.007208
[843/5000][435/535][86882] Loss_D: -0.023176 Loss_G: -0.003394 Loss_D_real: -0.015394 Loss_D_fake 0.007782
[843/5000][440/535][86883] Loss_D: -0.022961 Loss_G: -0.009306 Loss_D_real: -0.020396 Loss_D_fake 0.002565
[843/5000][445/535][86884] Loss_D: -0.025258 Loss_G: 0.008173 Loss_D_real: -0.010058 Loss_D_fake 0.015201
[843/5000][450/535][86885] Loss_D: -0.023749 Loss_G: 0.006724 Loss_D_real: -0.006787 Loss_D_fake 0.016961
[843/5000][455/535][86886] Loss_D: -0.023494 Loss_G: 0.022482 Loss_D_real: -0.024645 Loss_D_fake -0.001150
[843/5000][460/535][86887] Loss_D: -0.022834 Loss_G: -0.004398 Loss_D_real: -0.006433 Loss_D_fake 0.016401
[843/5000][465/535][86888] Loss_D: -0.025353 Loss_G: -0.003508 Loss_D_real: -0.024938 Loss_D_fake 0.000416
[843/5000][470/535][86889] Loss_D: -0.024072 Loss_G: 0.012739 Loss_D_real: -0.021226 Loss_D_fake 0.002846
[843/5000][475/535][86890] Loss_D: -0.023496 Loss_G: 0.019413 Loss_D_real: -0.034129 Loss_D_fake -0.010633
[843/5000][480/535][86891] Loss_D: -0.022104 Loss_G: 0.006754 Loss_D_real: -0.018042 Loss_D_fake 0.004061
[843/5000][485/535][86892] Loss_D: -0.023017 Loss_G: -0.007433 Loss_D_real: -0.004941 Loss_D_fake 0.018076
[843/5000][490/535][86893] Loss_D: -0.022935 Loss_G: 0.009556 Loss_D_real: -0.012916 Loss_D_fake 0.010019
[843/5000][495/535][86894] Loss_D: -0.023594 Loss_G: 0.015653 Loss_D_real: -0.018671 Loss_D_fake 0.004924
[843/5000][500/535][86895] Loss_D: -0.023336 Loss_G: 0.003239 Loss_D_real: -0.008576 Loss_D_fake 0.014760
[843/5000][505/535][86896] Loss_D: -0.022236 Loss_G: 0.018696 Loss_D_real: -0.030719 Loss_D_fake -0.008483
[843/5000][510/535][86897] Loss_D: -0.021752 Loss_G: 0.003521 Loss_D_real: -0.025069 Loss_D_fake -0.003317
[843/5000][515/535][86898] Loss_D: -0.022173 Loss_G: -0.002339 Loss_D_real: -0.001370 Loss_D_fake 0.020803
[843/5000][520/535][86899] Loss_D: -0.022415 Loss_G: -0.000377 Loss_D_real: -0.017499 Loss_D_fake 0.004916
[843/5000][525/535][86900] Loss_D: -0.022851 Loss_G: 0.009666 Loss_D_real: -0.011949 Loss_D_fake 0.010902
[843/5000][530/535][86901] Loss_D: -0.021963 Loss_G: -0.018591 Loss_D_real: -0.003907 Loss_D_fake 0.018056
[843/5000][535/535][86902] Loss_D: -0.021795 Loss_G: -0.007646 Loss_D_real: -0.015354 Loss_D_fake 0.006441
[844/5000][5/535][86903] Loss_D: -0.021976 Loss_G: 0.026656 Loss_D_real: -0.013638 Loss_D_fake 0.008338
[844/5000][10/535][86904] Loss_D: -0.023894 Loss_G: 0.013760 Loss_D_real: -0.012067 Loss_D_fake 0.011828
[844/5000][15/535][86905] Loss_D: -0.022862 Loss_G: -0.001851 Loss_D_real: -0.003540 Loss_D_fake 0.019322
[844/5000][20/535][86906] Loss_D: -0.024369 Loss_G: 0.004961 Loss_D_real: -0.019042 Loss_D_fake 0.005327
[844/5000][25/535][86907] Loss_D: -0.025077 Loss_G: 0.009693 Loss_D_real: -0.028530 Loss_D_fake -0.003454
[844/5000][30/535][86908] Loss_D: -0.023641 Loss_G: 0.004905 Loss_D_real: -0.003302 Loss_D_fake 0.020338
[844/5000][35/535][86909] Loss_D: -0.023005 Loss_G: 0.021555 Loss_D_real: -0.028876 Loss_D_fake -0.005870
[844/5000][40/535][86910] Loss_D: -0.022560 Loss_G: 0.013250 Loss_D_real: -0.023665 Loss_D_fake -0.001105
[844/5000][45/535][86911] Loss_D: -0.023639 Loss_G: -0.001516 Loss_D_real: -0.022201 Loss_D_fake 0.001438
[844/5000][50/535][86912] Loss_D: -0.022252 Loss_G: -0.008107 Loss_D_real: 0.005028 Loss_D_fake 0.027279
[844/5000][55/535][86913] Loss_D: -0.022440 Loss_G: -0.000536 Loss_D_real: -0.021032 Loss_D_fake 0.001408
[844/5000][60/535][86914] Loss_D: -0.022559 Loss_G: -0.004847 Loss_D_real: 0.000012 Loss_D_fake 0.022571
[844/5000][65/535][86915] Loss_D: -0.020931 Loss_G: 0.010101 Loss_D_real: -0.017668 Loss_D_fake 0.003263
[844/5000][70/535][86916] Loss_D: -0.021158 Loss_G: 0.002343 Loss_D_real: -0.012106 Loss_D_fake 0.009052
[844/5000][75/535][86917] Loss_D: -0.023966 Loss_G: 0.002610 Loss_D_real: -0.009737 Loss_D_fake 0.014230
[844/5000][80/535][86918] Loss_D: -0.022752 Loss_G: 0.007878 Loss_D_real: -0.015161 Loss_D_fake 0.007591
[844/5000][85/535][86919] Loss_D: -0.024222 Loss_G: 0.012292 Loss_D_real: -0.020186 Loss_D_fake 0.004036
[844/5000][90/535][86920] Loss_D: -0.023437 Loss_G: -0.000746 Loss_D_real: -0.012882 Loss_D_fake 0.010555
[844/5000][95/535][86921] Loss_D: -0.022954 Loss_G: 0.019236 Loss_D_real: -0.021694 Loss_D_fake 0.001260
[844/5000][100/535][86922] Loss_D: -0.022016 Loss_G: 0.008271 Loss_D_real: -0.024726 Loss_D_fake -0.002710
[844/5000][105/535][86923] Loss_D: -0.022391 Loss_G: 0.022395 Loss_D_real: -0.036080 Loss_D_fake -0.013690
[844/5000][110/535][86924] Loss_D: -0.023052 Loss_G: 0.020163 Loss_D_real: -0.026234 Loss_D_fake -0.003182
[844/5000][115/535][86925] Loss_D: -0.022309 Loss_G: 0.004618 Loss_D_real: -0.019797 Loss_D_fake 0.002512
[844/5000][120/535][86926] Loss_D: -0.021960 Loss_G: 0.013705 Loss_D_real: -0.017659 Loss_D_fake 0.004301
[844/5000][125/535][86927] Loss_D: -0.021327 Loss_G: 0.013724 Loss_D_real: -0.031992 Loss_D_fake -0.010665
[844/5000][130/535][86928] Loss_D: -0.021793 Loss_G: 0.029959 Loss_D_real: -0.030094 Loss_D_fake -0.008300
[844/5000][135/535][86929] Loss_D: -0.022809 Loss_G: -0.005911 Loss_D_real: -0.006273 Loss_D_fake 0.016536
[844/5000][140/535][86930] Loss_D: -0.021515 Loss_G: 0.011203 Loss_D_real: -0.038168 Loss_D_fake -0.016653
[844/5000][145/535][86931] Loss_D: -0.021613 Loss_G: -0.003890 Loss_D_real: -0.018043 Loss_D_fake 0.003570
[844/5000][150/535][86932] Loss_D: -0.022782 Loss_G: 0.021777 Loss_D_real: -0.023582 Loss_D_fake -0.000800
[844/5000][155/535][86933] Loss_D: -0.021446 Loss_G: 0.010603 Loss_D_real: -0.025294 Loss_D_fake -0.003848
[844/5000][160/535][86934] Loss_D: -0.022189 Loss_G: 0.004339 Loss_D_real: -0.020443 Loss_D_fake 0.001746
[844/5000][165/535][86935] Loss_D: -0.022540 Loss_G: -0.005933 Loss_D_real: -0.000859 Loss_D_fake 0.021682
[844/5000][170/535][86936] Loss_D: -0.023323 Loss_G: 0.003502 Loss_D_real: -0.010381 Loss_D_fake 0.012943
[844/5000][175/535][86937] Loss_D: -0.022611 Loss_G: 0.012194 Loss_D_real: -0.024705 Loss_D_fake -0.002094
[844/5000][180/535][86938] Loss_D: -0.023577 Loss_G: -0.003951 Loss_D_real: -0.004117 Loss_D_fake 0.019460
[844/5000][185/535][86939] Loss_D: -0.022103 Loss_G: 0.013594 Loss_D_real: -0.017085 Loss_D_fake 0.005019
[844/5000][190/535][86940] Loss_D: -0.023011 Loss_G: 0.020745 Loss_D_real: -0.027766 Loss_D_fake -0.004754
[844/5000][195/535][86941] Loss_D: -0.023280 Loss_G: -0.008754 Loss_D_real: -0.007270 Loss_D_fake 0.016009
[844/5000][200/535][86942] Loss_D: -0.022370 Loss_G: 0.023153 Loss_D_real: -0.015245 Loss_D_fake 0.007126
[844/5000][205/535][86943] Loss_D: -0.022891 Loss_G: -0.010714 Loss_D_real: -0.003024 Loss_D_fake 0.019867
[844/5000][210/535][86944] Loss_D: -0.020805 Loss_G: 0.003936 Loss_D_real: -0.023583 Loss_D_fake -0.002777
[844/5000][215/535][86945] Loss_D: -0.022588 Loss_G: -0.001360 Loss_D_real: -0.012422 Loss_D_fake 0.010166
[844/5000][220/535][86946] Loss_D: -0.022391 Loss_G: 0.010859 Loss_D_real: -0.028480 Loss_D_fake -0.006089
[844/5000][225/535][86947] Loss_D: -0.022571 Loss_G: 0.017904 Loss_D_real: -0.011022 Loss_D_fake 0.011550
[844/5000][230/535][86948] Loss_D: -0.023098 Loss_G: 0.015304 Loss_D_real: -0.022774 Loss_D_fake 0.000324
[844/5000][235/535][86949] Loss_D: -0.023459 Loss_G: -0.002208 Loss_D_real: -0.019180 Loss_D_fake 0.004279
[844/5000][240/535][86950] Loss_D: -0.022885 Loss_G: 0.010608 Loss_D_real: -0.017097 Loss_D_fake 0.005788
[844/5000][245/535][86951] Loss_D: -0.023680 Loss_G: 0.003375 Loss_D_real: -0.024094 Loss_D_fake -0.000414
[844/5000][250/535][86952] Loss_D: -0.020205 Loss_G: -0.024963 Loss_D_real: 0.008583 Loss_D_fake 0.028788
[844/5000][255/535][86953] Loss_D: -0.023741 Loss_G: 0.007055 Loss_D_real: -0.007204 Loss_D_fake 0.016537
[844/5000][260/535][86954] Loss_D: -0.022961 Loss_G: 0.015774 Loss_D_real: -0.027936 Loss_D_fake -0.004974
[844/5000][265/535][86955] Loss_D: -0.023078 Loss_G: 0.023156 Loss_D_real: -0.040543 Loss_D_fake -0.017465
[844/5000][270/535][86956] Loss_D: -0.023441 Loss_G: 0.003847 Loss_D_real: -0.018545 Loss_D_fake 0.004896
[844/5000][275/535][86957] Loss_D: -0.024055 Loss_G: -0.000543 Loss_D_real: -0.019075 Loss_D_fake 0.004980
[844/5000][280/535][86958] Loss_D: -0.022921 Loss_G: -0.010268 Loss_D_real: -0.011249 Loss_D_fake 0.011672
[844/5000][285/535][86959] Loss_D: -0.022794 Loss_G: 0.005820 Loss_D_real: -0.013942 Loss_D_fake 0.008851
[844/5000][290/535][86960] Loss_D: -0.023675 Loss_G: 0.010086 Loss_D_real: -0.020575 Loss_D_fake 0.003100
[844/5000][295/535][86961] Loss_D: -0.023781 Loss_G: 0.015444 Loss_D_real: -0.021720 Loss_D_fake 0.002060
[844/5000][300/535][86962] Loss_D: -0.024155 Loss_G: 0.001450 Loss_D_real: -0.000013 Loss_D_fake 0.024142
[844/5000][305/535][86963] Loss_D: -0.024645 Loss_G: 0.016904 Loss_D_real: -0.021460 Loss_D_fake 0.003186
[844/5000][310/535][86964] Loss_D: -0.024195 Loss_G: 0.000856 Loss_D_real: -0.023876 Loss_D_fake 0.000319
[844/5000][315/535][86965] Loss_D: -0.022951 Loss_G: -0.005915 Loss_D_real: -0.010226 Loss_D_fake 0.012726
[844/5000][320/535][86966] Loss_D: -0.021486 Loss_G: 0.025192 Loss_D_real: -0.027534 Loss_D_fake -0.006049
[844/5000][325/535][86967] Loss_D: -0.021934 Loss_G: 0.001045 Loss_D_real: -0.013601 Loss_D_fake 0.008334
[844/5000][330/535][86968] Loss_D: -0.022187 Loss_G: 0.006158 Loss_D_real: -0.006074 Loss_D_fake 0.016113
[844/5000][335/535][86969] Loss_D: -0.023939 Loss_G: 0.010639 Loss_D_real: -0.019065 Loss_D_fake 0.004874
[844/5000][340/535][86970] Loss_D: -0.024886 Loss_G: -0.004678 Loss_D_real: -0.011027 Loss_D_fake 0.013859
[844/5000][345/535][86971] Loss_D: -0.022802 Loss_G: 0.010898 Loss_D_real: -0.026455 Loss_D_fake -0.003653
[844/5000][350/535][86972] Loss_D: -0.022755 Loss_G: 0.004574 Loss_D_real: -0.028381 Loss_D_fake -0.005625
[844/5000][355/535][86973] Loss_D: -0.023608 Loss_G: 0.017526 Loss_D_real: -0.025227 Loss_D_fake -0.001619
[844/5000][360/535][86974] Loss_D: -0.023066 Loss_G: 0.015410 Loss_D_real: -0.029262 Loss_D_fake -0.006197
[844/5000][365/535][86975] Loss_D: -0.022115 Loss_G: 0.035848 Loss_D_real: -0.028454 Loss_D_fake -0.006339
[844/5000][370/535][86976] Loss_D: -0.023300 Loss_G: 0.006802 Loss_D_real: -0.026533 Loss_D_fake -0.003232
[844/5000][375/535][86977] Loss_D: -0.022933 Loss_G: 0.023681 Loss_D_real: -0.023980 Loss_D_fake -0.001047
[844/5000][380/535][86978] Loss_D: -0.023893 Loss_G: 0.005227 Loss_D_real: -0.027881 Loss_D_fake -0.003988
[844/5000][385/535][86979] Loss_D: -0.022908 Loss_G: -0.006849 Loss_D_real: -0.007931 Loss_D_fake 0.014977
[844/5000][390/535][86980] Loss_D: -0.022134 Loss_G: 0.022399 Loss_D_real: -0.031903 Loss_D_fake -0.009770
[844/5000][395/535][86981] Loss_D: -0.024073 Loss_G: 0.012920 Loss_D_real: -0.023761 Loss_D_fake 0.000312
[844/5000][400/535][86982] Loss_D: -0.023684 Loss_G: -0.007022 Loss_D_real: -0.008292 Loss_D_fake 0.015392
[844/5000][405/535][86983] Loss_D: -0.023021 Loss_G: 0.000858 Loss_D_real: -0.012067 Loss_D_fake 0.010954
[844/5000][410/535][86984] Loss_D: -0.023118 Loss_G: 0.012506 Loss_D_real: -0.022049 Loss_D_fake 0.001069
[844/5000][415/535][86985] Loss_D: -0.025208 Loss_G: 0.009285 Loss_D_real: -0.012414 Loss_D_fake 0.012794
[844/5000][420/535][86986] Loss_D: -0.023427 Loss_G: 0.005615 Loss_D_real: -0.018920 Loss_D_fake 0.004508
[844/5000][425/535][86987] Loss_D: -0.021903 Loss_G: 0.019604 Loss_D_real: -0.019691 Loss_D_fake 0.002213
[844/5000][430/535][86988] Loss_D: -0.023366 Loss_G: 0.006926 Loss_D_real: -0.011168 Loss_D_fake 0.012198
[844/5000][435/535][86989] Loss_D: -0.022521 Loss_G: -0.018560 Loss_D_real: -0.009852 Loss_D_fake 0.012670
[844/5000][440/535][86990] Loss_D: -0.022126 Loss_G: 0.004505 Loss_D_real: -0.027896 Loss_D_fake -0.005771
[844/5000][445/535][86991] Loss_D: -0.022878 Loss_G: 0.009449 Loss_D_real: -0.011057 Loss_D_fake 0.011821
[844/5000][450/535][86992] Loss_D: -0.022213 Loss_G: 0.002975 Loss_D_real: -0.008274 Loss_D_fake 0.013940
[844/5000][455/535][86993] Loss_D: -0.023010 Loss_G: 0.005782 Loss_D_real: -0.019853 Loss_D_fake 0.003157
[844/5000][460/535][86994] Loss_D: -0.022844 Loss_G: 0.018921 Loss_D_real: -0.021568 Loss_D_fake 0.001276
[844/5000][465/535][86995] Loss_D: -0.023573 Loss_G: -0.001549 Loss_D_real: -0.007834 Loss_D_fake 0.015739
[844/5000][470/535][86996] Loss_D: -0.023741 Loss_G: -0.008169 Loss_D_real: -0.023624 Loss_D_fake 0.000118
[844/5000][475/535][86997] Loss_D: -0.022104 Loss_G: 0.014960 Loss_D_real: -0.027711 Loss_D_fake -0.005607
[844/5000][480/535][86998] Loss_D: -0.022533 Loss_G: 0.009543 Loss_D_real: -0.033405 Loss_D_fake -0.010872
[844/5000][485/535][86999] Loss_D: -0.022294 Loss_G: 0.023501 Loss_D_real: -0.032789 Loss_D_fake -0.010494
[844/5000][490/535][87000] Loss_D: -0.023452 Loss_G: 0.004669 Loss_D_real: -0.020598 Loss_D_fake 0.002854
[844/5000][535/535][87001] Loss_D: -0.026779 Loss_G: 0.032303 Loss_D_real: -0.024585 Loss_D_fake 0.002195
[845/5000][5/535][87002] Loss_D: -0.022366 Loss_G: 0.015839 Loss_D_real: -0.022366 Loss_D_fake -0.000001
[845/5000][10/535][87003] Loss_D: -0.022346 Loss_G: 0.004601 Loss_D_real: -0.025624 Loss_D_fake -0.003279
[845/5000][15/535][87004] Loss_D: -0.020355 Loss_G: 0.022266 Loss_D_real: -0.026734 Loss_D_fake -0.006379
[845/5000][20/535][87005] Loss_D: -0.023969 Loss_G: 0.014170 Loss_D_real: -0.030218 Loss_D_fake -0.006250
[845/5000][25/535][87006] Loss_D: -0.024278 Loss_G: 0.009653 Loss_D_real: -0.018621 Loss_D_fake 0.005657
[845/5000][30/535][87007] Loss_D: -0.022239 Loss_G: 0.023654 Loss_D_real: -0.028394 Loss_D_fake -0.006155
[845/5000][35/535][87008] Loss_D: -0.022735 Loss_G: 0.022834 Loss_D_real: -0.029027 Loss_D_fake -0.006292
[845/5000][40/535][87009] Loss_D: -0.023052 Loss_G: -0.020664 Loss_D_real: -0.007182 Loss_D_fake 0.015869
[845/5000][45/535][87010] Loss_D: -0.022318 Loss_G: 0.020568 Loss_D_real: -0.027089 Loss_D_fake -0.004771
[845/5000][50/535][87011] Loss_D: -0.022818 Loss_G: 0.000421 Loss_D_real: -0.013688 Loss_D_fake 0.009131
[845/5000][55/535][87012] Loss_D: -0.021344 Loss_G: 0.022564 Loss_D_real: -0.024158 Loss_D_fake -0.002814
[845/5000][60/535][87013] Loss_D: -0.023001 Loss_G: 0.000772 Loss_D_real: -0.016711 Loss_D_fake 0.006290
[845/5000][65/535][87014] Loss_D: -0.021245 Loss_G: 0.020960 Loss_D_real: -0.026952 Loss_D_fake -0.005707
[845/5000][70/535][87015] Loss_D: -0.022759 Loss_G: -0.006651 Loss_D_real: -0.012449 Loss_D_fake 0.010309
[845/5000][75/535][87016] Loss_D: -0.021889 Loss_G: 0.006353 Loss_D_real: -0.029542 Loss_D_fake -0.007653
[845/5000][80/535][87017] Loss_D: -0.023133 Loss_G: 0.003465 Loss_D_real: -0.015657 Loss_D_fake 0.007475
[845/5000][85/535][87018] Loss_D: -0.022663 Loss_G: 0.018755 Loss_D_real: -0.031216 Loss_D_fake -0.008553
[845/5000][90/535][87019] Loss_D: -0.024462 Loss_G: -0.003933 Loss_D_real: -0.016586 Loss_D_fake 0.007876
[845/5000][95/535][87020] Loss_D: -0.022536 Loss_G: -0.006931 Loss_D_real: -0.012164 Loss_D_fake 0.010372
[845/5000][100/535][87021] Loss_D: -0.022090 Loss_G: 0.019443 Loss_D_real: -0.021212 Loss_D_fake 0.000879
[845/5000][105/535][87022] Loss_D: -0.023998 Loss_G: 0.002524 Loss_D_real: -0.012275 Loss_D_fake 0.011723
[845/5000][110/535][87023] Loss_D: -0.021920 Loss_G: -0.007280 Loss_D_real: -0.010604 Loss_D_fake 0.011315
[845/5000][115/535][87024] Loss_D: -0.021455 Loss_G: 0.034128 Loss_D_real: -0.027046 Loss_D_fake -0.005591
[845/5000][120/535][87025] Loss_D: -0.022907 Loss_G: 0.006808 Loss_D_real: -0.019996 Loss_D_fake 0.002911
[845/5000][125/535][87026] Loss_D: -0.023339 Loss_G: 0.009298 Loss_D_real: -0.022323 Loss_D_fake 0.001016
[845/5000][130/535][87027] Loss_D: -0.022661 Loss_G: 0.016271 Loss_D_real: -0.031313 Loss_D_fake -0.008652
[845/5000][135/535][87028] Loss_D: -0.023704 Loss_G: 0.003968 Loss_D_real: -0.024918 Loss_D_fake -0.001214
[845/5000][140/535][87029] Loss_D: -0.023069 Loss_G: 0.004940 Loss_D_real: -0.009365 Loss_D_fake 0.013705
[845/5000][145/535][87030] Loss_D: -0.022375 Loss_G: 0.012121 Loss_D_real: -0.026880 Loss_D_fake -0.004505
[845/5000][150/535][87031] Loss_D: -0.022522 Loss_G: 0.016848 Loss_D_real: -0.015714 Loss_D_fake 0.006808
[845/5000][155/535][87032] Loss_D: -0.022778 Loss_G: -0.004567 Loss_D_real: 0.005425 Loss_D_fake 0.028203
[845/5000][160/535][87033] Loss_D: -0.022960 Loss_G: 0.021434 Loss_D_real: -0.020914 Loss_D_fake 0.002046
[845/5000][165/535][87034] Loss_D: -0.022401 Loss_G: 0.007493 Loss_D_real: -0.017226 Loss_D_fake 0.005175
[845/5000][170/535][87035] Loss_D: -0.022404 Loss_G: 0.019009 Loss_D_real: -0.028935 Loss_D_fake -0.006532
[845/5000][175/535][87036] Loss_D: -0.022121 Loss_G: -0.005110 Loss_D_real: -0.007351 Loss_D_fake 0.014770
[845/5000][180/535][87037] Loss_D: -0.022970 Loss_G: 0.002678 Loss_D_real: -0.017456 Loss_D_fake 0.005514
[845/5000][185/535][87038] Loss_D: -0.023168 Loss_G: 0.011170 Loss_D_real: -0.021144 Loss_D_fake 0.002024
[845/5000][190/535][87039] Loss_D: -0.022683 Loss_G: -0.002142 Loss_D_real: -0.006852 Loss_D_fake 0.015830
[845/5000][195/535][87040] Loss_D: -0.020817 Loss_G: 0.019089 Loss_D_real: -0.035230 Loss_D_fake -0.014414
[845/5000][200/535][87041] Loss_D: -0.022399 Loss_G: 0.007150 Loss_D_real: -0.011717 Loss_D_fake 0.010683
[845/5000][205/535][87042] Loss_D: -0.021889 Loss_G: -0.012074 Loss_D_real: -0.000144 Loss_D_fake 0.021745
[845/5000][210/535][87043] Loss_D: -0.022551 Loss_G: 0.014439 Loss_D_real: -0.035936 Loss_D_fake -0.013385
[845/5000][215/535][87044] Loss_D: -0.020738 Loss_G: 0.015739 Loss_D_real: -0.032501 Loss_D_fake -0.011763
[845/5000][220/535][87045] Loss_D: -0.021091 Loss_G: 0.027111 Loss_D_real: -0.033886 Loss_D_fake -0.012795
[845/5000][225/535][87046] Loss_D: -0.022517 Loss_G: -0.007415 Loss_D_real: -0.014025 Loss_D_fake 0.008493
[845/5000][230/535][87047] Loss_D: -0.022811 Loss_G: 0.012765 Loss_D_real: -0.019602 Loss_D_fake 0.003209
[845/5000][235/535][87048] Loss_D: -0.022555 Loss_G: -0.010191 Loss_D_real: -0.008464 Loss_D_fake 0.014092
[845/5000][240/535][87049] Loss_D: -0.022403 Loss_G: 0.015940 Loss_D_real: -0.020867 Loss_D_fake 0.001535
[845/5000][245/535][87050] Loss_D: -0.022387 Loss_G: 0.028424 Loss_D_real: -0.034953 Loss_D_fake -0.012566
[845/5000][250/535][87051] Loss_D: -0.023103 Loss_G: -0.007270 Loss_D_real: -0.010799 Loss_D_fake 0.012303
[845/5000][255/535][87052] Loss_D: -0.022336 Loss_G: 0.013557 Loss_D_real: -0.015329 Loss_D_fake 0.007006
[845/5000][260/535][87053] Loss_D: -0.023865 Loss_G: -0.000661 Loss_D_real: -0.016325 Loss_D_fake 0.007540
[845/5000][265/535][87054] Loss_D: -0.022158 Loss_G: -0.006952 Loss_D_real: -0.003930 Loss_D_fake 0.018228
[845/5000][270/535][87055] Loss_D: -0.021186 Loss_G: 0.027615 Loss_D_real: -0.031785 Loss_D_fake -0.010599
[845/5000][275/535][87056] Loss_D: -0.022606 Loss_G: 0.001046 Loss_D_real: -0.011303 Loss_D_fake 0.011303
[845/5000][280/535][87057] Loss_D: -0.023381 Loss_G: 0.009759 Loss_D_real: -0.027135 Loss_D_fake -0.003754
[845/5000][285/535][87058] Loss_D: -0.022354 Loss_G: 0.022981 Loss_D_real: -0.018933 Loss_D_fake 0.003420
[845/5000][290/535][87059] Loss_D: -0.023242 Loss_G: 0.014550 Loss_D_real: -0.022784 Loss_D_fake 0.000459
[845/5000][295/535][87060] Loss_D: -0.022529 Loss_G: 0.017621 Loss_D_real: -0.018186 Loss_D_fake 0.004342
[845/5000][300/535][87061] Loss_D: -0.023016 Loss_G: 0.010850 Loss_D_real: -0.019283 Loss_D_fake 0.003733
[845/5000][305/535][87062] Loss_D: -0.022943 Loss_G: 0.022035 Loss_D_real: -0.013204 Loss_D_fake 0.009740
[845/5000][310/535][87063] Loss_D: -0.023073 Loss_G: -0.009873 Loss_D_real: -0.014876 Loss_D_fake 0.008196
[845/5000][315/535][87064] Loss_D: -0.023592 Loss_G: -0.005892 Loss_D_real: -0.014664 Loss_D_fake 0.008928
[845/5000][320/535][87065] Loss_D: -0.022023 Loss_G: 0.017668 Loss_D_real: -0.032719 Loss_D_fake -0.010696
[845/5000][325/535][87066] Loss_D: -0.023736 Loss_G: 0.017038 Loss_D_real: -0.027054 Loss_D_fake -0.003318
[845/5000][330/535][87067] Loss_D: -0.022744 Loss_G: 0.019890 Loss_D_real: -0.024742 Loss_D_fake -0.001998
[845/5000][335/535][87068] Loss_D: -0.024413 Loss_G: 0.006080 Loss_D_real: -0.017823 Loss_D_fake 0.006591
[845/5000][340/535][87069] Loss_D: -0.023106 Loss_G: 0.023381 Loss_D_real: -0.025770 Loss_D_fake -0.002664
[845/5000][345/535][87070] Loss_D: -0.025024 Loss_G: 0.017435 Loss_D_real: -0.031033 Loss_D_fake -0.006008
[845/5000][350/535][87071] Loss_D: -0.024586 Loss_G: 0.007597 Loss_D_real: -0.016700 Loss_D_fake 0.007886
[845/5000][355/535][87072] Loss_D: -0.024259 Loss_G: 0.010320 Loss_D_real: -0.024833 Loss_D_fake -0.000574
[845/5000][360/535][87073] Loss_D: -0.025236 Loss_G: -0.001776 Loss_D_real: -0.017034 Loss_D_fake 0.008202
[845/5000][365/535][87074] Loss_D: -0.023374 Loss_G: 0.021206 Loss_D_real: -0.032599 Loss_D_fake -0.009225
[845/5000][370/535][87075] Loss_D: -0.023005 Loss_G: 0.008044 Loss_D_real: -0.024162 Loss_D_fake -0.001157
[845/5000][375/535][87076] Loss_D: -0.024411 Loss_G: 0.001000 Loss_D_real: -0.026059 Loss_D_fake -0.001648
[845/5000][380/535][87077] Loss_D: -0.022702 Loss_G: 0.028365 Loss_D_real: -0.032478 Loss_D_fake -0.009776
[845/5000][385/535][87078] Loss_D: -0.022952 Loss_G: 0.021230 Loss_D_real: -0.024446 Loss_D_fake -0.001494
[845/5000][390/535][87079] Loss_D: -0.023828 Loss_G: 0.001503 Loss_D_real: -0.008875 Loss_D_fake 0.014954
[845/5000][395/535][87080] Loss_D: -0.023176 Loss_G: 0.001305 Loss_D_real: -0.022594 Loss_D_fake 0.000583
[845/5000][400/535][87081] Loss_D: -0.021495 Loss_G: 0.030719 Loss_D_real: -0.029019 Loss_D_fake -0.007524
[845/5000][405/535][87082] Loss_D: -0.022757 Loss_G: 0.002050 Loss_D_real: -0.002593 Loss_D_fake 0.020164
[845/5000][410/535][87083] Loss_D: -0.022272 Loss_G: 0.016580 Loss_D_real: -0.029906 Loss_D_fake -0.007634
[845/5000][415/535][87084] Loss_D: -0.021626 Loss_G: 0.015009 Loss_D_real: -0.019603 Loss_D_fake 0.002022
[845/5000][420/535][87085] Loss_D: -0.023315 Loss_G: -0.000354 Loss_D_real: -0.002293 Loss_D_fake 0.021022
[845/5000][425/535][87086] Loss_D: -0.023405 Loss_G: -0.007880 Loss_D_real: -0.007758 Loss_D_fake 0.015646
[845/5000][430/535][87087] Loss_D: -0.023825 Loss_G: 0.012534 Loss_D_real: -0.018457 Loss_D_fake 0.005368
[845/5000][435/535][87088] Loss_D: -0.022493 Loss_G: -0.011152 Loss_D_real: -0.001415 Loss_D_fake 0.021079
[845/5000][440/535][87089] Loss_D: -0.022481 Loss_G: 0.025260 Loss_D_real: -0.024265 Loss_D_fake -0.001783
[845/5000][445/535][87090] Loss_D: -0.022595 Loss_G: -0.009215 Loss_D_real: -0.018138 Loss_D_fake 0.004457
[845/5000][450/535][87091] Loss_D: -0.021933 Loss_G: 0.006778 Loss_D_real: -0.026155 Loss_D_fake -0.004223
[845/5000][455/535][87092] Loss_D: -0.022424 Loss_G: 0.026148 Loss_D_real: -0.037960 Loss_D_fake -0.015536
[845/5000][460/535][87093] Loss_D: -0.023323 Loss_G: 0.011996 Loss_D_real: -0.027208 Loss_D_fake -0.003885
[845/5000][465/535][87094] Loss_D: -0.023058 Loss_G: 0.015210 Loss_D_real: -0.030168 Loss_D_fake -0.007110
[845/5000][470/535][87095] Loss_D: -0.022916 Loss_G: -0.008128 Loss_D_real: -0.022299 Loss_D_fake 0.000616
[845/5000][475/535][87096] Loss_D: -0.021503 Loss_G: 0.007086 Loss_D_real: -0.011377 Loss_D_fake 0.010126
[845/5000][480/535][87097] Loss_D: -0.022552 Loss_G: 0.005203 Loss_D_real: -0.025570 Loss_D_fake -0.003018
[845/5000][485/535][87098] Loss_D: -0.022461 Loss_G: 0.005184 Loss_D_real: -0.018716 Loss_D_fake 0.003745
[845/5000][490/535][87099] Loss_D: -0.021493 Loss_G: 0.008030 Loss_D_real: -0.026540 Loss_D_fake -0.005047
[845/5000][495/535][87100] Loss_D: -0.022102 Loss_G: 0.018876 Loss_D_real: -0.026589 Loss_D_fake -0.004487
[845/5000][500/535][87101] Loss_D: -0.023852 Loss_G: -0.002463 Loss_D_real: -0.003368 Loss_D_fake 0.020483
[845/5000][505/535][87102] Loss_D: -0.023171 Loss_G: 0.003622 Loss_D_real: -0.008021 Loss_D_fake 0.015149
[845/5000][510/535][87103] Loss_D: -0.022550 Loss_G: 0.003662 Loss_D_real: -0.013113 Loss_D_fake 0.009437
[845/5000][515/535][87104] Loss_D: -0.022467 Loss_G: 0.023014 Loss_D_real: -0.022021 Loss_D_fake 0.000446
[845/5000][520/535][87105] Loss_D: -0.023877 Loss_G: -0.001152 Loss_D_real: -0.014762 Loss_D_fake 0.009115
[845/5000][525/535][87106] Loss_D: -0.023363 Loss_G: 0.003153 Loss_D_real: -0.012010 Loss_D_fake 0.011352
[845/5000][530/535][87107] Loss_D: -0.022030 Loss_G: 0.012950 Loss_D_real: -0.033089 Loss_D_fake -0.011059
[845/5000][535/535][87108] Loss_D: -0.020455 Loss_G: 0.039964 Loss_D_real: -0.023263 Loss_D_fake -0.002808
[846/5000][5/535][87109] Loss_D: -0.023137 Loss_G: 0.004507 Loss_D_real: -0.016854 Loss_D_fake 0.006283
[846/5000][10/535][87110] Loss_D: -0.023113 Loss_G: -0.003643 Loss_D_real: -0.017208 Loss_D_fake 0.005905
[846/5000][15/535][87111] Loss_D: -0.024317 Loss_G: 0.009855 Loss_D_real: -0.021634 Loss_D_fake 0.002683
[846/5000][20/535][87112] Loss_D: -0.023979 Loss_G: 0.017311 Loss_D_real: -0.023209 Loss_D_fake 0.000770
[846/5000][25/535][87113] Loss_D: -0.024138 Loss_G: 0.007786 Loss_D_real: -0.024096 Loss_D_fake 0.000042
[846/5000][30/535][87114] Loss_D: -0.023343 Loss_G: -0.019015 Loss_D_real: -0.004987 Loss_D_fake 0.018356
[846/5000][35/535][87115] Loss_D: -0.023562 Loss_G: 0.010348 Loss_D_real: -0.016368 Loss_D_fake 0.007194
[846/5000][40/535][87116] Loss_D: -0.022384 Loss_G: 0.014277 Loss_D_real: -0.032217 Loss_D_fake -0.009832
[846/5000][45/535][87117] Loss_D: -0.024158 Loss_G: 0.006305 Loss_D_real: -0.016006 Loss_D_fake 0.008152
[846/5000][50/535][87118] Loss_D: -0.022977 Loss_G: 0.019876 Loss_D_real: -0.033736 Loss_D_fake -0.010760
[846/5000][55/535][87119] Loss_D: -0.022826 Loss_G: 0.015746 Loss_D_real: -0.018711 Loss_D_fake 0.004114
[846/5000][60/535][87120] Loss_D: -0.024830 Loss_G: 0.012673 Loss_D_real: -0.025044 Loss_D_fake -0.000214
[846/5000][65/535][87121] Loss_D: -0.024774 Loss_G: -0.003474 Loss_D_real: -0.016077 Loss_D_fake 0.008697
[846/5000][70/535][87122] Loss_D: -0.023705 Loss_G: 0.017482 Loss_D_real: -0.020545 Loss_D_fake 0.003160
[846/5000][75/535][87123] Loss_D: -0.023944 Loss_G: 0.003433 Loss_D_real: -0.009421 Loss_D_fake 0.014524
[846/5000][80/535][87124] Loss_D: -0.022988 Loss_G: -0.010240 Loss_D_real: -0.018025 Loss_D_fake 0.004963
[846/5000][85/535][87125] Loss_D: -0.023249 Loss_G: 0.029583 Loss_D_real: -0.023145 Loss_D_fake 0.000105
[846/5000][90/535][87126] Loss_D: -0.021929 Loss_G: -0.002123 Loss_D_real: -0.007868 Loss_D_fake 0.014061
[846/5000][95/535][87127] Loss_D: -0.023463 Loss_G: 0.008244 Loss_D_real: -0.019968 Loss_D_fake 0.003495
[846/5000][100/535][87128] Loss_D: -0.022101 Loss_G: 0.008404 Loss_D_real: -0.016547 Loss_D_fake 0.005554
[846/5000][105/535][87129] Loss_D: -0.021699 Loss_G: 0.013207 Loss_D_real: -0.012465 Loss_D_fake 0.009234
[846/5000][110/535][87130] Loss_D: -0.022724 Loss_G: -0.011898 Loss_D_real: -0.016682 Loss_D_fake 0.006042
[846/5000][115/535][87131] Loss_D: -0.021537 Loss_G: 0.003572 Loss_D_real: -0.011334 Loss_D_fake 0.010203
[846/5000][120/535][87132] Loss_D: -0.022950 Loss_G: 0.030493 Loss_D_real: -0.029266 Loss_D_fake -0.006316
[846/5000][125/535][87133] Loss_D: -0.021421 Loss_G: -0.002349 Loss_D_real: -0.011756 Loss_D_fake 0.009665
[846/5000][130/535][87134] Loss_D: -0.021588 Loss_G: 0.013778 Loss_D_real: -0.025102 Loss_D_fake -0.003514
[846/5000][135/535][87135] Loss_D: -0.021429 Loss_G: 0.030035 Loss_D_real: -0.032366 Loss_D_fake -0.010937
[846/5000][140/535][87136] Loss_D: -0.024015 Loss_G: 0.004020 Loss_D_real: -0.015270 Loss_D_fake 0.008746
[846/5000][145/535][87137] Loss_D: -0.022625 Loss_G: -0.002835 Loss_D_real: -0.014197 Loss_D_fake 0.008429
[846/5000][150/535][87138] Loss_D: -0.022992 Loss_G: 0.003951 Loss_D_real: -0.027576 Loss_D_fake -0.004583
[846/5000][155/535][87139] Loss_D: -0.023569 Loss_G: -0.006588 Loss_D_real: -0.010449 Loss_D_fake 0.013120
[846/5000][160/535][87140] Loss_D: -0.023870 Loss_G: 0.004652 Loss_D_real: -0.007871 Loss_D_fake 0.015999
[846/5000][165/535][87141] Loss_D: -0.022147 Loss_G: 0.011500 Loss_D_real: -0.015264 Loss_D_fake 0.006882
[846/5000][170/535][87142] Loss_D: -0.022098 Loss_G: -0.000955 Loss_D_real: -0.007403 Loss_D_fake 0.014696
[846/5000][175/535][87143] Loss_D: -0.022875 Loss_G: 0.000861 Loss_D_real: -0.007244 Loss_D_fake 0.015631
[846/5000][180/535][87144] Loss_D: -0.023544 Loss_G: 0.018050 Loss_D_real: -0.021763 Loss_D_fake 0.001781
[846/5000][185/535][87145] Loss_D: -0.022727 Loss_G: 0.009326 Loss_D_real: -0.015157 Loss_D_fake 0.007570
[846/5000][190/535][87146] Loss_D: -0.022481 Loss_G: -0.008302 Loss_D_real: -0.006141 Loss_D_fake 0.016340
[846/5000][195/535][87147] Loss_D: -0.022685 Loss_G: 0.017028 Loss_D_real: -0.020085 Loss_D_fake 0.002600
[846/5000][200/535][87148] Loss_D: -0.023474 Loss_G: 0.018902 Loss_D_real: -0.026092 Loss_D_fake -0.002618
[846/5000][205/535][87149] Loss_D: -0.023478 Loss_G: -0.007535 Loss_D_real: -0.003275 Loss_D_fake 0.020203
[846/5000][210/535][87150] Loss_D: -0.023026 Loss_G: 0.004373 Loss_D_real: -0.015146 Loss_D_fake 0.007880
[846/5000][215/535][87151] Loss_D: -0.020704 Loss_G: 0.038198 Loss_D_real: -0.031249 Loss_D_fake -0.010546
[846/5000][220/535][87152] Loss_D: -0.022154 Loss_G: 0.005256 Loss_D_real: -0.020689 Loss_D_fake 0.001465
[846/5000][225/535][87153] Loss_D: -0.022387 Loss_G: -0.007893 Loss_D_real: -0.005040 Loss_D_fake 0.017347
[846/5000][230/535][87154] Loss_D: -0.022421 Loss_G: 0.007272 Loss_D_real: -0.006847 Loss_D_fake 0.015574
[846/5000][235/535][87155] Loss_D: -0.023111 Loss_G: -0.010537 Loss_D_real: -0.000740 Loss_D_fake 0.022371
[846/5000][240/535][87156] Loss_D: -0.024792 Loss_G: 0.016844 Loss_D_real: -0.017257 Loss_D_fake 0.007535
[846/5000][245/535][87157] Loss_D: -0.024594 Loss_G: -0.006394 Loss_D_real: -0.010105 Loss_D_fake 0.014489
[846/5000][250/535][87158] Loss_D: -0.022810 Loss_G: 0.011769 Loss_D_real: -0.017510 Loss_D_fake 0.005300
[846/5000][255/535][87159] Loss_D: -0.023759 Loss_G: -0.007436 Loss_D_real: -0.013800 Loss_D_fake 0.009960
[846/5000][260/535][87160] Loss_D: -0.023644 Loss_G: 0.010587 Loss_D_real: -0.035318 Loss_D_fake -0.011674
[846/5000][265/535][87161] Loss_D: -0.021185 Loss_G: -0.012948 Loss_D_real: 0.010441 Loss_D_fake 0.031626
[846/5000][270/535][87162] Loss_D: -0.022658 Loss_G: 0.006370 Loss_D_real: -0.009075 Loss_D_fake 0.013583
[846/5000][275/535][87163] Loss_D: -0.022851 Loss_G: 0.010182 Loss_D_real: -0.009907 Loss_D_fake 0.012944
[846/5000][280/535][87164] Loss_D: -0.023453 Loss_G: 0.031621 Loss_D_real: -0.027536 Loss_D_fake -0.004083
[846/5000][285/535][87165] Loss_D: -0.022569 Loss_G: -0.007984 Loss_D_real: -0.011480 Loss_D_fake 0.011088
[846/5000][290/535][87166] Loss_D: -0.022269 Loss_G: 0.003244 Loss_D_real: -0.021350 Loss_D_fake 0.000919
[846/5000][295/535][87167] Loss_D: -0.022073 Loss_G: 0.004345 Loss_D_real: -0.021568 Loss_D_fake 0.000505
[846/5000][300/535][87168] Loss_D: -0.022110 Loss_G: 0.011703 Loss_D_real: -0.024406 Loss_D_fake -0.002297
[846/5000][305/535][87169] Loss_D: -0.023562 Loss_G: 0.028750 Loss_D_real: -0.026152 Loss_D_fake -0.002590
[846/5000][310/535][87170] Loss_D: -0.021926 Loss_G: 0.003721 Loss_D_real: -0.013544 Loss_D_fake 0.008382
[846/5000][315/535][87171] Loss_D: -0.023671 Loss_G: 0.004074 Loss_D_real: -0.019025 Loss_D_fake 0.004646
[846/5000][320/535][87172] Loss_D: -0.022155 Loss_G: 0.006816 Loss_D_real: -0.015147 Loss_D_fake 0.007008
[846/5000][325/535][87173] Loss_D: -0.022457 Loss_G: 0.006330 Loss_D_real: -0.021327 Loss_D_fake 0.001129
[846/5000][330/535][87174] Loss_D: -0.024004 Loss_G: -0.004853 Loss_D_real: -0.018442 Loss_D_fake 0.005562
[846/5000][335/535][87175] Loss_D: -0.022450 Loss_G: 0.020722 Loss_D_real: -0.027055 Loss_D_fake -0.004604
[846/5000][340/535][87176] Loss_D: -0.021858 Loss_G: 0.018755 Loss_D_real: -0.025569 Loss_D_fake -0.003711
[846/5000][345/535][87177] Loss_D: -0.022308 Loss_G: -0.003337 Loss_D_real: -0.009856 Loss_D_fake 0.012452
[846/5000][350/535][87178] Loss_D: -0.022097 Loss_G: 0.001142 Loss_D_real: -0.019457 Loss_D_fake 0.002640
[846/5000][355/535][87179] Loss_D: -0.022708 Loss_G: -0.005400 Loss_D_real: 0.002837 Loss_D_fake 0.025545
[846/5000][360/535][87180] Loss_D: -0.022316 Loss_G: -0.001045 Loss_D_real: -0.012006 Loss_D_fake 0.010310
[846/5000][365/535][87181] Loss_D: -0.022101 Loss_G: 0.003536 Loss_D_real: -0.019640 Loss_D_fake 0.002462
[846/5000][370/535][87182] Loss_D: -0.023425 Loss_G: 0.002016 Loss_D_real: -0.015410 Loss_D_fake 0.008016
[846/5000][375/535][87183] Loss_D: -0.021444 Loss_G: 0.026469 Loss_D_real: -0.040500 Loss_D_fake -0.019057
[846/5000][380/535][87184] Loss_D: -0.023704 Loss_G: 0.002844 Loss_D_real: -0.017435 Loss_D_fake 0.006269
[846/5000][385/535][87185] Loss_D: -0.022681 Loss_G: 0.010397 Loss_D_real: -0.019996 Loss_D_fake 0.002685
[846/5000][390/535][87186] Loss_D: -0.022448 Loss_G: 0.018400 Loss_D_real: -0.028762 Loss_D_fake -0.006313
[846/5000][395/535][87187] Loss_D: -0.022433 Loss_G: -0.007150 Loss_D_real: 0.001445 Loss_D_fake 0.023879
[846/5000][400/535][87188] Loss_D: -0.020931 Loss_G: 0.001631 Loss_D_real: -0.014544 Loss_D_fake 0.006387
[846/5000][405/535][87189] Loss_D: -0.021080 Loss_G: 0.020219 Loss_D_real: -0.026235 Loss_D_fake -0.005155
[846/5000][410/535][87190] Loss_D: -0.023121 Loss_G: 0.010587 Loss_D_real: -0.023903 Loss_D_fake -0.000782
[846/5000][415/535][87191] Loss_D: -0.021610 Loss_G: -0.000195 Loss_D_real: -0.028816 Loss_D_fake -0.007206
[846/5000][420/535][87192] Loss_D: -0.021555 Loss_G: 0.011769 Loss_D_real: -0.028995 Loss_D_fake -0.007440
[846/5000][425/535][87193] Loss_D: -0.023717 Loss_G: -0.000569 Loss_D_real: -0.020695 Loss_D_fake 0.003021
[846/5000][430/535][87194] Loss_D: -0.022137 Loss_G: 0.012939 Loss_D_real: -0.025135 Loss_D_fake -0.002998
[846/5000][435/535][87195] Loss_D: -0.023924 Loss_G: 0.010541 Loss_D_real: -0.020449 Loss_D_fake 0.003475
[846/5000][440/535][87196] Loss_D: -0.023013 Loss_G: 0.023145 Loss_D_real: -0.035755 Loss_D_fake -0.012742
[846/5000][445/535][87197] Loss_D: -0.023928 Loss_G: 0.016747 Loss_D_real: -0.012963 Loss_D_fake 0.010965
[846/5000][450/535][87198] Loss_D: -0.023160 Loss_G: 0.002776 Loss_D_real: -0.022003 Loss_D_fake 0.001157
[846/5000][455/535][87199] Loss_D: -0.023693 Loss_G: -0.006628 Loss_D_real: -0.007164 Loss_D_fake 0.016529
[846/5000][460/535][87200] Loss_D: -0.021878 Loss_G: -0.000978 Loss_D_real: -0.008381 Loss_D_fake 0.013498
[846/5000][465/535][87201] Loss_D: -0.021331 Loss_G: 0.008198 Loss_D_real: -0.025873 Loss_D_fake -0.004542
[846/5000][470/535][87202] Loss_D: -0.022529 Loss_G: 0.032663 Loss_D_real: -0.036062 Loss_D_fake -0.013533
[846/5000][475/535][87203] Loss_D: -0.024243 Loss_G: 0.012870 Loss_D_real: -0.021171 Loss_D_fake 0.003072
[846/5000][480/535][87204] Loss_D: -0.023322 Loss_G: 0.022222 Loss_D_real: -0.034519 Loss_D_fake -0.011197
[846/5000][485/535][87205] Loss_D: -0.022683 Loss_G: -0.017969 Loss_D_real: -0.006017 Loss_D_fake 0.016667
[846/5000][490/535][87206] Loss_D: -0.024289 Loss_G: 0.001765 Loss_D_real: -0.013339 Loss_D_fake 0.010950
[846/5000][495/535][87207] Loss_D: -0.024968 Loss_G: 0.013959 Loss_D_real: -0.016954 Loss_D_fake 0.008014
[846/5000][500/535][87208] Loss_D: -0.022974 Loss_G: 0.002527 Loss_D_real: -0.016331 Loss_D_fake 0.006643
[846/5000][505/535][87209] Loss_D: -0.022040 Loss_G: 0.016778 Loss_D_real: -0.034002 Loss_D_fake -0.011962
[846/5000][510/535][87210] Loss_D: -0.024043 Loss_G: 0.003152 Loss_D_real: -0.016753 Loss_D_fake 0.007290
[846/5000][515/535][87211] Loss_D: -0.023290 Loss_G: 0.005546 Loss_D_real: -0.023795 Loss_D_fake -0.000505
[846/5000][520/535][87212] Loss_D: -0.024660 Loss_G: 0.010826 Loss_D_real: -0.020732 Loss_D_fake 0.003928
[846/5000][525/535][87213] Loss_D: -0.023100 Loss_G: 0.012506 Loss_D_real: -0.023514 Loss_D_fake -0.000414
[846/5000][530/535][87214] Loss_D: -0.022238 Loss_G: 0.025374 Loss_D_real: -0.035389 Loss_D_fake -0.013151
[846/5000][535/535][87215] Loss_D: -0.025005 Loss_G: 0.019343 Loss_D_real: -0.020656 Loss_D_fake 0.004349
[847/5000][5/535][87216] Loss_D: -0.025067 Loss_G: -0.005404 Loss_D_real: -0.017929 Loss_D_fake 0.007138
[847/5000][10/535][87217] Loss_D: -0.022255 Loss_G: 0.023062 Loss_D_real: -0.032868 Loss_D_fake -0.010613
[847/5000][15/535][87218] Loss_D: -0.022229 Loss_G: 0.016323 Loss_D_real: -0.031849 Loss_D_fake -0.009620
[847/5000][20/535][87219] Loss_D: -0.023336 Loss_G: 0.006000 Loss_D_real: -0.013243 Loss_D_fake 0.010094
[847/5000][25/535][87220] Loss_D: -0.023682 Loss_G: -0.001788 Loss_D_real: -0.024071 Loss_D_fake -0.000389
[847/5000][30/535][87221] Loss_D: -0.023087 Loss_G: 0.020708 Loss_D_real: -0.030855 Loss_D_fake -0.007767
[847/5000][35/535][87222] Loss_D: -0.024920 Loss_G: 0.015550 Loss_D_real: -0.015106 Loss_D_fake 0.009815
[847/5000][40/535][87223] Loss_D: -0.023629 Loss_G: 0.023763 Loss_D_real: -0.029833 Loss_D_fake -0.006204
[847/5000][45/535][87224] Loss_D: -0.025157 Loss_G: 0.013467 Loss_D_real: -0.026745 Loss_D_fake -0.001588
[847/5000][50/535][87225] Loss_D: -0.023673 Loss_G: 0.011569 Loss_D_real: -0.023265 Loss_D_fake 0.000408
[847/5000][55/535][87226] Loss_D: -0.022686 Loss_G: 0.007034 Loss_D_real: -0.015919 Loss_D_fake 0.006767
[847/5000][60/535][87227] Loss_D: -0.021774 Loss_G: -0.018102 Loss_D_real: -0.003137 Loss_D_fake 0.018637
[847/5000][65/535][87228] Loss_D: -0.022451 Loss_G: 0.014654 Loss_D_real: -0.017449 Loss_D_fake 0.005002
[847/5000][70/535][87229] Loss_D: -0.021318 Loss_G: 0.019482 Loss_D_real: -0.028056 Loss_D_fake -0.006738
[847/5000][75/535][87230] Loss_D: -0.020996 Loss_G: -0.001010 Loss_D_real: -0.009761 Loss_D_fake 0.011235
[847/5000][80/535][87231] Loss_D: -0.022780 Loss_G: 0.020589 Loss_D_real: -0.020806 Loss_D_fake 0.001974
[847/5000][85/535][87232] Loss_D: -0.022699 Loss_G: 0.015839 Loss_D_real: -0.036275 Loss_D_fake -0.013576
[847/5000][90/535][87233] Loss_D: -0.023590 Loss_G: 0.013986 Loss_D_real: -0.025107 Loss_D_fake -0.001518
[847/5000][95/535][87234] Loss_D: -0.023597 Loss_G: 0.029557 Loss_D_real: -0.026748 Loss_D_fake -0.003152
[847/5000][100/535][87235] Loss_D: -0.021255 Loss_G: 0.021788 Loss_D_real: -0.033152 Loss_D_fake -0.011897
[847/5000][105/535][87236] Loss_D: -0.023929 Loss_G: -0.000597 Loss_D_real: -0.011554 Loss_D_fake 0.012375
[847/5000][110/535][87237] Loss_D: -0.023242 Loss_G: -0.002774 Loss_D_real: -0.010353 Loss_D_fake 0.012889
[847/5000][115/535][87238] Loss_D: -0.022511 Loss_G: 0.011393 Loss_D_real: -0.025823 Loss_D_fake -0.003312
[847/5000][120/535][87239] Loss_D: -0.023239 Loss_G: 0.028852 Loss_D_real: -0.026062 Loss_D_fake -0.002823
[847/5000][125/535][87240] Loss_D: -0.024166 Loss_G: 0.004855 Loss_D_real: -0.024008 Loss_D_fake 0.000159
[847/5000][130/535][87241] Loss_D: -0.023120 Loss_G: 0.011968 Loss_D_real: -0.018672 Loss_D_fake 0.004448
[847/5000][135/535][87242] Loss_D: -0.023404 Loss_G: 0.008697 Loss_D_real: -0.018951 Loss_D_fake 0.004453
[847/5000][140/535][87243] Loss_D: -0.023729 Loss_G: -0.002032 Loss_D_real: -0.007948 Loss_D_fake 0.015780
[847/5000][145/535][87244] Loss_D: -0.021898 Loss_G: 0.022908 Loss_D_real: -0.030219 Loss_D_fake -0.008321
[847/5000][150/535][87245] Loss_D: -0.023256 Loss_G: 0.022563 Loss_D_real: -0.025584 Loss_D_fake -0.002328
[847/5000][155/535][87246] Loss_D: -0.022456 Loss_G: 0.004368 Loss_D_real: -0.021592 Loss_D_fake 0.000865
[847/5000][160/535][87247] Loss_D: -0.022562 Loss_G: 0.008243 Loss_D_real: -0.018245 Loss_D_fake 0.004317
[847/5000][165/535][87248] Loss_D: -0.023351 Loss_G: 0.026709 Loss_D_real: -0.022345 Loss_D_fake 0.001006
[847/5000][170/535][87249] Loss_D: -0.023085 Loss_G: 0.001054 Loss_D_real: -0.014582 Loss_D_fake 0.008503
[847/5000][175/535][87250] Loss_D: -0.022116 Loss_G: 0.014661 Loss_D_real: -0.015527 Loss_D_fake 0.006590
[847/5000][180/535][87251] Loss_D: -0.022718 Loss_G: 0.007400 Loss_D_real: -0.014247 Loss_D_fake 0.008470
[847/5000][185/535][87252] Loss_D: -0.022940 Loss_G: 0.019666 Loss_D_real: -0.019998 Loss_D_fake 0.002942
[847/5000][190/535][87253] Loss_D: -0.022705 Loss_G: 0.015499 Loss_D_real: -0.038386 Loss_D_fake -0.015681
[847/5000][195/535][87254] Loss_D: -0.022442 Loss_G: -0.002640 Loss_D_real: -0.000972 Loss_D_fake 0.021470
[847/5000][200/535][87255] Loss_D: -0.024099 Loss_G: -0.008873 Loss_D_real: -0.017271 Loss_D_fake 0.006828
[847/5000][205/535][87256] Loss_D: -0.023083 Loss_G: 0.005565 Loss_D_real: -0.017545 Loss_D_fake 0.005537
[847/5000][210/535][87257] Loss_D: -0.022566 Loss_G: 0.026002 Loss_D_real: -0.030294 Loss_D_fake -0.007728
[847/5000][215/535][87258] Loss_D: -0.022988 Loss_G: 0.016838 Loss_D_real: -0.023593 Loss_D_fake -0.000605
[847/5000][220/535][87259] Loss_D: -0.022090 Loss_G: -0.005241 Loss_D_real: 0.000811 Loss_D_fake 0.022900
[847/5000][225/535][87260] Loss_D: -0.023857 Loss_G: -0.002602 Loss_D_real: -0.006685 Loss_D_fake 0.017172
[847/5000][230/535][87261] Loss_D: -0.024366 Loss_G: 0.021708 Loss_D_real: -0.020311 Loss_D_fake 0.004054
[847/5000][235/535][87262] Loss_D: -0.022604 Loss_G: 0.010259 Loss_D_real: -0.023035 Loss_D_fake -0.000432
[847/5000][240/535][87263] Loss_D: -0.024207 Loss_G: 0.008037 Loss_D_real: -0.021164 Loss_D_fake 0.003043
[847/5000][245/535][87264] Loss_D: -0.023539 Loss_G: 0.017367 Loss_D_real: -0.022029 Loss_D_fake 0.001510
[847/5000][250/535][87265] Loss_D: -0.022295 Loss_G: -0.009016 Loss_D_real: -0.005581 Loss_D_fake 0.016714
[847/5000][255/535][87266] Loss_D: -0.021124 Loss_G: 0.024213 Loss_D_real: -0.032661 Loss_D_fake -0.011537
[847/5000][260/535][87267] Loss_D: -0.022250 Loss_G: -0.008092 Loss_D_real: -0.009194 Loss_D_fake 0.013057
[847/5000][265/535][87268] Loss_D: -0.022912 Loss_G: 0.027192 Loss_D_real: -0.021391 Loss_D_fake 0.001522
[847/5000][270/535][87269] Loss_D: -0.022360 Loss_G: -0.006024 Loss_D_real: -0.011911 Loss_D_fake 0.010449
[847/5000][275/535][87270] Loss_D: -0.021434 Loss_G: 0.027012 Loss_D_real: -0.028353 Loss_D_fake -0.006919
[847/5000][280/535][87271] Loss_D: -0.021754 Loss_G: 0.007484 Loss_D_real: -0.015526 Loss_D_fake 0.006228
[847/5000][285/535][87272] Loss_D: -0.023299 Loss_G: 0.010563 Loss_D_real: -0.019789 Loss_D_fake 0.003510
[847/5000][290/535][87273] Loss_D: -0.023644 Loss_G: 0.006239 Loss_D_real: -0.013530 Loss_D_fake 0.010115
[847/5000][295/535][87274] Loss_D: -0.021914 Loss_G: 0.008367 Loss_D_real: -0.015164 Loss_D_fake 0.006750
[847/5000][300/535][87275] Loss_D: -0.022744 Loss_G: 0.003309 Loss_D_real: -0.019866 Loss_D_fake 0.002877
[847/5000][305/535][87276] Loss_D: -0.025107 Loss_G: 0.023777 Loss_D_real: -0.033659 Loss_D_fake -0.008552
[847/5000][310/535][87277] Loss_D: -0.024063 Loss_G: -0.010671 Loss_D_real: -0.011751 Loss_D_fake 0.012312
[847/5000][315/535][87278] Loss_D: -0.022925 Loss_G: 0.020737 Loss_D_real: -0.026871 Loss_D_fake -0.003946
[847/5000][320/535][87279] Loss_D: -0.023103 Loss_G: -0.003959 Loss_D_real: -0.004336 Loss_D_fake 0.018766
[847/5000][325/535][87280] Loss_D: -0.023114 Loss_G: -0.010542 Loss_D_real: -0.017518 Loss_D_fake 0.005596
[847/5000][330/535][87281] Loss_D: -0.021878 Loss_G: -0.004569 Loss_D_real: -0.007750 Loss_D_fake 0.014127
[847/5000][335/535][87282] Loss_D: -0.022664 Loss_G: 0.010161 Loss_D_real: -0.023284 Loss_D_fake -0.000620
[847/5000][340/535][87283] Loss_D: -0.022762 Loss_G: 0.010580 Loss_D_real: -0.022811 Loss_D_fake -0.000049
[847/5000][345/535][87284] Loss_D: -0.021824 Loss_G: -0.003309 Loss_D_real: -0.003303 Loss_D_fake 0.018521
[847/5000][350/535][87285] Loss_D: -0.022732 Loss_G: 0.008564 Loss_D_real: -0.019571 Loss_D_fake 0.003161
[847/5000][355/535][87286] Loss_D: -0.022006 Loss_G: 0.007289 Loss_D_real: -0.021291 Loss_D_fake 0.000715
[847/5000][360/535][87287] Loss_D: -0.022605 Loss_G: 0.015890 Loss_D_real: -0.022081 Loss_D_fake 0.000525
[847/5000][365/535][87288] Loss_D: -0.022539 Loss_G: 0.019939 Loss_D_real: -0.032255 Loss_D_fake -0.009716
[847/5000][370/535][87289] Loss_D: -0.022738 Loss_G: 0.006645 Loss_D_real: -0.017758 Loss_D_fake 0.004980
[847/5000][375/535][87290] Loss_D: -0.022978 Loss_G: 0.021447 Loss_D_real: -0.031911 Loss_D_fake -0.008933
[847/5000][380/535][87291] Loss_D: -0.022411 Loss_G: 0.013034 Loss_D_real: -0.019574 Loss_D_fake 0.002837
[847/5000][385/535][87292] Loss_D: -0.023129 Loss_G: 0.005255 Loss_D_real: -0.014750 Loss_D_fake 0.008379
[847/5000][390/535][87293] Loss_D: -0.024637 Loss_G: 0.009162 Loss_D_real: -0.019943 Loss_D_fake 0.004694
[847/5000][395/535][87294] Loss_D: -0.022726 Loss_G: 0.009764 Loss_D_real: -0.011377 Loss_D_fake 0.011349
[847/5000][400/535][87295] Loss_D: -0.023151 Loss_G: 0.007991 Loss_D_real: -0.020009 Loss_D_fake 0.003142
[847/5000][405/535][87296] Loss_D: -0.021895 Loss_G: 0.017034 Loss_D_real: -0.028211 Loss_D_fake -0.006316
[847/5000][410/535][87297] Loss_D: -0.022101 Loss_G: -0.016690 Loss_D_real: -0.005092 Loss_D_fake 0.017009
[847/5000][415/535][87298] Loss_D: -0.022037 Loss_G: 0.014850 Loss_D_real: -0.025535 Loss_D_fake -0.003498
[847/5000][420/535][87299] Loss_D: -0.022586 Loss_G: -0.002571 Loss_D_real: 0.001734 Loss_D_fake 0.024320
[847/5000][425/535][87300] Loss_D: -0.021824 Loss_G: 0.021890 Loss_D_real: -0.029932 Loss_D_fake -0.008108
[847/5000][430/535][87301] Loss_D: -0.023400 Loss_G: 0.013058 Loss_D_real: -0.021471 Loss_D_fake 0.001929
[847/5000][435/535][87302] Loss_D: -0.023492 Loss_G: -0.007190 Loss_D_real: -0.007940 Loss_D_fake 0.015552
[847/5000][440/535][87303] Loss_D: -0.023643 Loss_G: -0.010758 Loss_D_real: -0.007038 Loss_D_fake 0.016605
[847/5000][445/535][87304] Loss_D: -0.025223 Loss_G: 0.015643 Loss_D_real: -0.013612 Loss_D_fake 0.011611
[847/5000][450/535][87305] Loss_D: -0.022921 Loss_G: 0.016401 Loss_D_real: -0.028406 Loss_D_fake -0.005485
[847/5000][455/535][87306] Loss_D: -0.023225 Loss_G: 0.002436 Loss_D_real: -0.013822 Loss_D_fake 0.009403
[847/5000][460/535][87307] Loss_D: -0.023792 Loss_G: 0.008794 Loss_D_real: -0.003865 Loss_D_fake 0.019927
[847/5000][465/535][87308] Loss_D: -0.023615 Loss_G: 0.003434 Loss_D_real: -0.016533 Loss_D_fake 0.007082
[847/5000][470/535][87309] Loss_D: -0.022207 Loss_G: 0.015395 Loss_D_real: -0.018707 Loss_D_fake 0.003500
[847/5000][475/535][87310] Loss_D: -0.022136 Loss_G: 0.000658 Loss_D_real: -0.013956 Loss_D_fake 0.008180
[847/5000][480/535][87311] Loss_D: -0.022609 Loss_G: 0.005670 Loss_D_real: -0.018516 Loss_D_fake 0.004093
[847/5000][485/535][87312] Loss_D: -0.024211 Loss_G: 0.010811 Loss_D_real: -0.020576 Loss_D_fake 0.003634
[847/5000][490/535][87313] Loss_D: -0.021701 Loss_G: -0.004134 Loss_D_real: -0.008868 Loss_D_fake 0.012833
[847/5000][495/535][87314] Loss_D: -0.022068 Loss_G: 0.009456 Loss_D_real: -0.037538 Loss_D_fake -0.015470
[847/5000][500/535][87315] Loss_D: -0.024178 Loss_G: -0.006848 Loss_D_real: -0.010837 Loss_D_fake 0.013340
[847/5000][505/535][87316] Loss_D: -0.022877 Loss_G: 0.009437 Loss_D_real: -0.015507 Loss_D_fake 0.007370
[847/5000][510/535][87317] Loss_D: -0.022654 Loss_G: 0.012630 Loss_D_real: -0.013700 Loss_D_fake 0.008954
[847/5000][515/535][87318] Loss_D: -0.023014 Loss_G: -0.000606 Loss_D_real: -0.018696 Loss_D_fake 0.004318
[847/5000][520/535][87319] Loss_D: -0.022647 Loss_G: 0.006838 Loss_D_real: -0.016534 Loss_D_fake 0.006113
[847/5000][525/535][87320] Loss_D: -0.022614 Loss_G: 0.020629 Loss_D_real: -0.032989 Loss_D_fake -0.010375
[847/5000][530/535][87321] Loss_D: -0.023721 Loss_G: 0.017182 Loss_D_real: -0.026507 Loss_D_fake -0.002786
[847/5000][535/535][87322] Loss_D: -0.024553 Loss_G: 0.023799 Loss_D_real: -0.024398 Loss_D_fake 0.000154
[848/5000][5/535][87323] Loss_D: -0.022281 Loss_G: 0.002530 Loss_D_real: -0.011751 Loss_D_fake 0.010531
[848/5000][10/535][87324] Loss_D: -0.022992 Loss_G: 0.004360 Loss_D_real: -0.023903 Loss_D_fake -0.000911
[848/5000][15/535][87325] Loss_D: -0.023649 Loss_G: 0.018376 Loss_D_real: -0.025872 Loss_D_fake -0.002223
[848/5000][20/535][87326] Loss_D: -0.021466 Loss_G: 0.006341 Loss_D_real: -0.015377 Loss_D_fake 0.006089
[848/5000][25/535][87327] Loss_D: -0.021909 Loss_G: 0.011130 Loss_D_real: -0.018840 Loss_D_fake 0.003069
[848/5000][30/535][87328] Loss_D: -0.022979 Loss_G: -0.001989 Loss_D_real: -0.003499 Loss_D_fake 0.019480
[848/5000][35/535][87329] Loss_D: -0.021675 Loss_G: 0.029029 Loss_D_real: -0.034597 Loss_D_fake -0.012922
[848/5000][40/535][87330] Loss_D: -0.021749 Loss_G: -0.002681 Loss_D_real: -0.006516 Loss_D_fake 0.015233
[848/5000][45/535][87331] Loss_D: -0.022732 Loss_G: -0.005812 Loss_D_real: -0.008780 Loss_D_fake 0.013953
[848/5000][50/535][87332] Loss_D: -0.023005 Loss_G: 0.014416 Loss_D_real: -0.019701 Loss_D_fake 0.003304
[848/5000][55/535][87333] Loss_D: -0.023506 Loss_G: -0.004434 Loss_D_real: -0.015179 Loss_D_fake 0.008327
[848/5000][60/535][87334] Loss_D: -0.022526 Loss_G: 0.014165 Loss_D_real: -0.023154 Loss_D_fake -0.000629
[848/5000][65/535][87335] Loss_D: -0.022847 Loss_G: 0.012214 Loss_D_real: -0.022462 Loss_D_fake 0.000385
[848/5000][70/535][87336] Loss_D: -0.024127 Loss_G: 0.007384 Loss_D_real: -0.020681 Loss_D_fake 0.003446
[848/5000][75/535][87337] Loss_D: -0.022139 Loss_G: 0.026847 Loss_D_real: -0.030559 Loss_D_fake -0.008420
[848/5000][80/535][87338] Loss_D: -0.023973 Loss_G: 0.006547 Loss_D_real: -0.018675 Loss_D_fake 0.005298
[848/5000][85/535][87339] Loss_D: -0.021545 Loss_G: 0.021533 Loss_D_real: -0.031559 Loss_D_fake -0.010014
[848/5000][90/535][87340] Loss_D: -0.023612 Loss_G: 0.009313 Loss_D_real: -0.015107 Loss_D_fake 0.008505
[848/5000][95/535][87341] Loss_D: -0.023040 Loss_G: 0.014295 Loss_D_real: -0.025628 Loss_D_fake -0.002588
[848/5000][100/535][87342] Loss_D: -0.023276 Loss_G: 0.009943 Loss_D_real: -0.014594 Loss_D_fake 0.008682
[848/5000][105/535][87343] Loss_D: -0.022112 Loss_G: -0.003551 Loss_D_real: -0.003046 Loss_D_fake 0.019066
[848/5000][110/535][87344] Loss_D: -0.023666 Loss_G: -0.001218 Loss_D_real: -0.011994 Loss_D_fake 0.011672
[848/5000][115/535][87345] Loss_D: -0.023342 Loss_G: 0.005954 Loss_D_real: -0.014895 Loss_D_fake 0.008447
[848/5000][120/535][87346] Loss_D: -0.023913 Loss_G: 0.017652 Loss_D_real: -0.026743 Loss_D_fake -0.002829
[848/5000][125/535][87347] Loss_D: -0.022843 Loss_G: 0.005029 Loss_D_real: -0.010248 Loss_D_fake 0.012595
[848/5000][130/535][87348] Loss_D: -0.022723 Loss_G: 0.020469 Loss_D_real: -0.040934 Loss_D_fake -0.018211
[848/5000][135/535][87349] Loss_D: -0.022591 Loss_G: -0.006281 Loss_D_real: 0.003564 Loss_D_fake 0.026154
[848/5000][140/535][87350] Loss_D: -0.022534 Loss_G: 0.017299 Loss_D_real: -0.021228 Loss_D_fake 0.001306
[848/5000][145/535][87351] Loss_D: -0.021814 Loss_G: 0.005947 Loss_D_real: -0.020819 Loss_D_fake 0.000996
[848/5000][150/535][87352] Loss_D: -0.022038 Loss_G: 0.025359 Loss_D_real: -0.039124 Loss_D_fake -0.017086
[848/5000][155/535][87353] Loss_D: -0.022907 Loss_G: 0.001223 Loss_D_real: -0.010182 Loss_D_fake 0.012725
[848/5000][160/535][87354] Loss_D: -0.022765 Loss_G: 0.019288 Loss_D_real: -0.031267 Loss_D_fake -0.008501
[848/5000][165/535][87355] Loss_D: -0.023378 Loss_G: -0.001838 Loss_D_real: -0.016615 Loss_D_fake 0.006763
[848/5000][170/535][87356] Loss_D: -0.023911 Loss_G: 0.006872 Loss_D_real: -0.015655 Loss_D_fake 0.008255
[848/5000][175/535][87357] Loss_D: -0.023705 Loss_G: 0.006964 Loss_D_real: -0.012211 Loss_D_fake 0.011494
[848/5000][180/535][87358] Loss_D: -0.023013 Loss_G: 0.000400 Loss_D_real: -0.014405 Loss_D_fake 0.008607
[848/5000][185/535][87359] Loss_D: -0.023183 Loss_G: 0.010609 Loss_D_real: -0.012939 Loss_D_fake 0.010245
[848/5000][190/535][87360] Loss_D: -0.022209 Loss_G: -0.006378 Loss_D_real: -0.008114 Loss_D_fake 0.014096
[848/5000][195/535][87361] Loss_D: -0.022819 Loss_G: 0.005795 Loss_D_real: -0.019693 Loss_D_fake 0.003125
[848/5000][200/535][87362] Loss_D: -0.023039 Loss_G: 0.012331 Loss_D_real: -0.022929 Loss_D_fake 0.000110
[848/5000][205/535][87363] Loss_D: -0.022169 Loss_G: -0.005437 Loss_D_real: -0.009359 Loss_D_fake 0.012810
[848/5000][210/535][87364] Loss_D: -0.022475 Loss_G: 0.019056 Loss_D_real: -0.032187 Loss_D_fake -0.009712
[848/5000][215/535][87365] Loss_D: -0.022331 Loss_G: 0.005461 Loss_D_real: -0.021376 Loss_D_fake 0.000955
[848/5000][220/535][87366] Loss_D: -0.022845 Loss_G: 0.022802 Loss_D_real: -0.029220 Loss_D_fake -0.006375
[848/5000][225/535][87367] Loss_D: -0.022254 Loss_G: 0.017655 Loss_D_real: -0.031217 Loss_D_fake -0.008964
[848/5000][230/535][87368] Loss_D: -0.021515 Loss_G: 0.004790 Loss_D_real: -0.027901 Loss_D_fake -0.006386
[848/5000][235/535][87369] Loss_D: -0.022820 Loss_G: 0.011830 Loss_D_real: -0.020909 Loss_D_fake 0.001912
[848/5000][240/535][87370] Loss_D: -0.022499 Loss_G: 0.012743 Loss_D_real: -0.016671 Loss_D_fake 0.005828
[848/5000][245/535][87371] Loss_D: -0.022838 Loss_G: -0.014175 Loss_D_real: -0.014836 Loss_D_fake 0.008002
[848/5000][250/535][87372] Loss_D: -0.021448 Loss_G: 0.011826 Loss_D_real: -0.026849 Loss_D_fake -0.005401
[848/5000][255/535][87373] Loss_D: -0.021010 Loss_G: -0.005080 Loss_D_real: -0.004177 Loss_D_fake 0.016834
[848/5000][260/535][87374] Loss_D: -0.020848 Loss_G: 0.013839 Loss_D_real: -0.031400 Loss_D_fake -0.010552
[848/5000][265/535][87375] Loss_D: -0.022480 Loss_G: 0.005822 Loss_D_real: -0.016525 Loss_D_fake 0.005955
[848/5000][270/535][87376] Loss_D: -0.023042 Loss_G: -0.008564 Loss_D_real: -0.005999 Loss_D_fake 0.017043
[848/5000][275/535][87377] Loss_D: -0.021941 Loss_G: 0.004139 Loss_D_real: -0.016057 Loss_D_fake 0.005884
[848/5000][280/535][87378] Loss_D: -0.022966 Loss_G: -0.004619 Loss_D_real: -0.004127 Loss_D_fake 0.018839
[848/5000][285/535][87379] Loss_D: -0.022539 Loss_G: 0.014893 Loss_D_real: -0.020038 Loss_D_fake 0.002500
[848/5000][290/535][87380] Loss_D: -0.021660 Loss_G: 0.009251 Loss_D_real: -0.029616 Loss_D_fake -0.007956
[848/5000][295/535][87381] Loss_D: -0.022820 Loss_G: 0.002112 Loss_D_real: -0.015549 Loss_D_fake 0.007270
[848/5000][300/535][87382] Loss_D: -0.022062 Loss_G: -0.002579 Loss_D_real: -0.003686 Loss_D_fake 0.018376
[848/5000][305/535][87383] Loss_D: -0.022602 Loss_G: 0.006942 Loss_D_real: -0.018907 Loss_D_fake 0.003695
[848/5000][310/535][87384] Loss_D: -0.022146 Loss_G: -0.018693 Loss_D_real: -0.003234 Loss_D_fake 0.018912
[848/5000][315/535][87385] Loss_D: -0.022846 Loss_G: 0.013412 Loss_D_real: -0.024491 Loss_D_fake -0.001644
[848/5000][320/535][87386] Loss_D: -0.023122 Loss_G: 0.010320 Loss_D_real: -0.026292 Loss_D_fake -0.003170
[848/5000][325/535][87387] Loss_D: -0.022956 Loss_G: -0.000891 Loss_D_real: -0.005710 Loss_D_fake 0.017246
[848/5000][330/535][87388] Loss_D: -0.022890 Loss_G: 0.007611 Loss_D_real: -0.017633 Loss_D_fake 0.005257
[848/5000][335/535][87389] Loss_D: -0.021866 Loss_G: 0.001778 Loss_D_real: -0.015324 Loss_D_fake 0.006542
[848/5000][340/535][87390] Loss_D: -0.023547 Loss_G: -0.002792 Loss_D_real: -0.010939 Loss_D_fake 0.012607
[848/5000][345/535][87391] Loss_D: -0.024403 Loss_G: 0.025196 Loss_D_real: -0.024733 Loss_D_fake -0.000330
[848/5000][350/535][87392] Loss_D: -0.024074 Loss_G: 0.012134 Loss_D_real: -0.028032 Loss_D_fake -0.003959
[848/5000][355/535][87393] Loss_D: -0.024692 Loss_G: 0.017133 Loss_D_real: -0.020113 Loss_D_fake 0.004579
[848/5000][360/535][87394] Loss_D: -0.024208 Loss_G: 0.014719 Loss_D_real: -0.024303 Loss_D_fake -0.000095
[848/5000][365/535][87395] Loss_D: -0.024551 Loss_G: 0.007829 Loss_D_real: -0.017721 Loss_D_fake 0.006830
[848/5000][370/535][87396] Loss_D: -0.024181 Loss_G: -0.000293 Loss_D_real: -0.011276 Loss_D_fake 0.012905
[848/5000][375/535][87397] Loss_D: -0.024084 Loss_G: -0.001234 Loss_D_real: -0.012680 Loss_D_fake 0.011404
[848/5000][380/535][87398] Loss_D: -0.024033 Loss_G: 0.005692 Loss_D_real: -0.012342 Loss_D_fake 0.011691
[848/5000][385/535][87399] Loss_D: -0.024257 Loss_G: 0.000195 Loss_D_real: -0.008753 Loss_D_fake 0.015504
[848/5000][390/535][87400] Loss_D: -0.024618 Loss_G: 0.005515 Loss_D_real: -0.016101 Loss_D_fake 0.008517
[848/5000][395/535][87401] Loss_D: -0.024157 Loss_G: 0.016308 Loss_D_real: -0.014574 Loss_D_fake 0.009583
[848/5000][400/535][87402] Loss_D: -0.022799 Loss_G: 0.015137 Loss_D_real: -0.028073 Loss_D_fake -0.005274
[848/5000][405/535][87403] Loss_D: -0.024578 Loss_G: 0.019129 Loss_D_real: -0.012853 Loss_D_fake 0.011725
[848/5000][410/535][87404] Loss_D: -0.022528 Loss_G: -0.007909 Loss_D_real: -0.007279 Loss_D_fake 0.015250
[848/5000][415/535][87405] Loss_D: -0.022936 Loss_G: 0.002012 Loss_D_real: -0.016662 Loss_D_fake 0.006275
[848/5000][420/535][87406] Loss_D: -0.022538 Loss_G: 0.000517 Loss_D_real: -0.006989 Loss_D_fake 0.015550
[848/5000][425/535][87407] Loss_D: -0.022076 Loss_G: -0.005651 Loss_D_real: 0.000875 Loss_D_fake 0.022952
[848/5000][430/535][87408] Loss_D: -0.022408 Loss_G: -0.004328 Loss_D_real: -0.012279 Loss_D_fake 0.010130
[848/5000][435/535][87409] Loss_D: -0.022447 Loss_G: 0.009750 Loss_D_real: -0.021572 Loss_D_fake 0.000875
[848/5000][440/535][87410] Loss_D: -0.023877 Loss_G: -0.002057 Loss_D_real: -0.014335 Loss_D_fake 0.009542
[848/5000][445/535][87411] Loss_D: -0.022616 Loss_G: 0.027654 Loss_D_real: -0.034425 Loss_D_fake -0.011809
[848/5000][450/535][87412] Loss_D: -0.023426 Loss_G: 0.002681 Loss_D_real: -0.015288 Loss_D_fake 0.008138
[848/5000][455/535][87413] Loss_D: -0.023321 Loss_G: 0.011581 Loss_D_real: -0.021544 Loss_D_fake 0.001778
[848/5000][460/535][87414] Loss_D: -0.023735 Loss_G: -0.006059 Loss_D_real: -0.019153 Loss_D_fake 0.004582
[848/5000][465/535][87415] Loss_D: -0.021183 Loss_G: 0.026721 Loss_D_real: -0.039769 Loss_D_fake -0.018585
[848/5000][470/535][87416] Loss_D: -0.021791 Loss_G: 0.007481 Loss_D_real: -0.028264 Loss_D_fake -0.006473
[848/5000][475/535][87417] Loss_D: -0.021777 Loss_G: 0.009769 Loss_D_real: -0.027786 Loss_D_fake -0.006009
[848/5000][480/535][87418] Loss_D: -0.024453 Loss_G: 0.000674 Loss_D_real: -0.007822 Loss_D_fake 0.016631
[848/5000][485/535][87419] Loss_D: -0.022701 Loss_G: 0.016738 Loss_D_real: -0.030126 Loss_D_fake -0.007425
[848/5000][490/535][87420] Loss_D: -0.020678 Loss_G: -0.002879 Loss_D_real: -0.008261 Loss_D_fake 0.012417
[848/5000][495/535][87421] Loss_D: -0.022410 Loss_G: 0.023975 Loss_D_real: -0.027729 Loss_D_fake -0.005319
[848/5000][500/535][87422] Loss_D: -0.022619 Loss_G: 0.004451 Loss_D_real: -0.019871 Loss_D_fake 0.002748
[848/5000][505/535][87423] Loss_D: -0.022386 Loss_G: -0.003667 Loss_D_real: -0.004636 Loss_D_fake 0.017750
[848/5000][510/535][87424] Loss_D: -0.022310 Loss_G: 0.021340 Loss_D_real: -0.037348 Loss_D_fake -0.015038
[848/5000][515/535][87425] Loss_D: -0.022780 Loss_G: -0.000442 Loss_D_real: -0.021582 Loss_D_fake 0.001198
[848/5000][520/535][87426] Loss_D: -0.022526 Loss_G: -0.013820 Loss_D_real: -0.008917 Loss_D_fake 0.013609
[848/5000][525/535][87427] Loss_D: -0.022023 Loss_G: 0.023634 Loss_D_real: -0.038953 Loss_D_fake -0.016930
[848/5000][530/535][87428] Loss_D: -0.022138 Loss_G: 0.034804 Loss_D_real: -0.030918 Loss_D_fake -0.008780
[848/5000][535/535][87429] Loss_D: -0.021889 Loss_G: 0.036626 Loss_D_real: -0.020031 Loss_D_fake 0.001858
[849/5000][5/535][87430] Loss_D: -0.023442 Loss_G: 0.015758 Loss_D_real: -0.021025 Loss_D_fake 0.002418
[849/5000][10/535][87431] Loss_D: -0.024276 Loss_G: -0.007454 Loss_D_real: -0.011851 Loss_D_fake 0.012425
[849/5000][15/535][87432] Loss_D: -0.021859 Loss_G: 0.027476 Loss_D_real: -0.021819 Loss_D_fake 0.000040
[849/5000][20/535][87433] Loss_D: -0.023048 Loss_G: 0.027918 Loss_D_real: -0.022890 Loss_D_fake 0.000157
[849/5000][25/535][87434] Loss_D: -0.023031 Loss_G: 0.024769 Loss_D_real: -0.026472 Loss_D_fake -0.003441
[849/5000][30/535][87435] Loss_D: -0.023249 Loss_G: -0.009830 Loss_D_real: -0.009793 Loss_D_fake 0.013456
[849/5000][35/535][87436] Loss_D: -0.022331 Loss_G: -0.000550 Loss_D_real: -0.016057 Loss_D_fake 0.006273
[849/5000][40/535][87437] Loss_D: -0.021904 Loss_G: -0.002697 Loss_D_real: -0.003759 Loss_D_fake 0.018146
[849/5000][45/535][87438] Loss_D: -0.022216 Loss_G: 0.023755 Loss_D_real: -0.024380 Loss_D_fake -0.002164
[849/5000][50/535][87439] Loss_D: -0.023043 Loss_G: 0.004418 Loss_D_real: -0.026894 Loss_D_fake -0.003852
[849/5000][55/535][87440] Loss_D: -0.023384 Loss_G: 0.010523 Loss_D_real: -0.023897 Loss_D_fake -0.000513
[849/5000][60/535][87441] Loss_D: -0.023444 Loss_G: 0.009580 Loss_D_real: -0.015383 Loss_D_fake 0.008061
[849/5000][65/535][87442] Loss_D: -0.023526 Loss_G: 0.012668 Loss_D_real: -0.016172 Loss_D_fake 0.007354
[849/5000][70/535][87443] Loss_D: -0.022611 Loss_G: -0.000862 Loss_D_real: -0.019551 Loss_D_fake 0.003060
[849/5000][75/535][87444] Loss_D: -0.020990 Loss_G: 0.014731 Loss_D_real: -0.028047 Loss_D_fake -0.007057
[849/5000][80/535][87445] Loss_D: -0.022238 Loss_G: -0.005808 Loss_D_real: -0.012266 Loss_D_fake 0.009972
[849/5000][85/535][87446] Loss_D: -0.022412 Loss_G: 0.011394 Loss_D_real: -0.020142 Loss_D_fake 0.002270
[849/5000][90/535][87447] Loss_D: -0.021867 Loss_G: 0.001825 Loss_D_real: -0.007994 Loss_D_fake 0.013873
[849/5000][95/535][87448] Loss_D: -0.022150 Loss_G: 0.014642 Loss_D_real: -0.025783 Loss_D_fake -0.003634
[849/5000][100/535][87449] Loss_D: -0.023544 Loss_G: 0.003840 Loss_D_real: -0.021375 Loss_D_fake 0.002169
[849/5000][105/535][87450] Loss_D: -0.021460 Loss_G: 0.004849 Loss_D_real: -0.022555 Loss_D_fake -0.001095
[849/5000][110/535][87451] Loss_D: -0.022356 Loss_G: 0.014478 Loss_D_real: -0.020355 Loss_D_fake 0.002002
[849/5000][115/535][87452] Loss_D: -0.023835 Loss_G: 0.005177 Loss_D_real: -0.007532 Loss_D_fake 0.016303
[849/5000][120/535][87453] Loss_D: -0.021553 Loss_G: 0.019588 Loss_D_real: -0.026809 Loss_D_fake -0.005256
[849/5000][125/535][87454] Loss_D: -0.022601 Loss_G: 0.013561 Loss_D_real: -0.026998 Loss_D_fake -0.004397
[849/5000][130/535][87455] Loss_D: -0.022780 Loss_G: 0.019401 Loss_D_real: -0.036720 Loss_D_fake -0.013939
[849/5000][135/535][87456] Loss_D: -0.022875 Loss_G: 0.000605 Loss_D_real: -0.023837 Loss_D_fake -0.000962
[849/5000][140/535][87457] Loss_D: -0.022020 Loss_G: 0.008497 Loss_D_real: -0.017497 Loss_D_fake 0.004523
[849/5000][145/535][87458] Loss_D: -0.021594 Loss_G: 0.018045 Loss_D_real: -0.016086 Loss_D_fake 0.005508
[849/5000][150/535][87459] Loss_D: -0.021614 Loss_G: 0.004947 Loss_D_real: -0.021589 Loss_D_fake 0.000025
[849/5000][155/535][87460] Loss_D: -0.024562 Loss_G: 0.009945 Loss_D_real: -0.020226 Loss_D_fake 0.004336
[849/5000][160/535][87461] Loss_D: -0.022938 Loss_G: 0.002140 Loss_D_real: -0.021540 Loss_D_fake 0.001398
[849/5000][165/535][87462] Loss_D: -0.023758 Loss_G: 0.011704 Loss_D_real: -0.018522 Loss_D_fake 0.005236
[849/5000][170/535][87463] Loss_D: -0.023700 Loss_G: 0.018496 Loss_D_real: -0.030603 Loss_D_fake -0.006903
[849/5000][175/535][87464] Loss_D: -0.022365 Loss_G: -0.003518 Loss_D_real: -0.003224 Loss_D_fake 0.019141
[849/5000][180/535][87465] Loss_D: -0.022996 Loss_G: 0.015814 Loss_D_real: -0.017118 Loss_D_fake 0.005878
[849/5000][185/535][87466] Loss_D: -0.024092 Loss_G: -0.011325 Loss_D_real: -0.010318 Loss_D_fake 0.013774
[849/5000][190/535][87467] Loss_D: -0.022932 Loss_G: 0.019289 Loss_D_real: -0.018040 Loss_D_fake 0.004892
[849/5000][195/535][87468] Loss_D: -0.023293 Loss_G: 0.007054 Loss_D_real: -0.014169 Loss_D_fake 0.009124
[849/5000][200/535][87469] Loss_D: -0.023627 Loss_G: 0.001747 Loss_D_real: -0.013841 Loss_D_fake 0.009786
[849/5000][205/535][87470] Loss_D: -0.024125 Loss_G: 0.012818 Loss_D_real: -0.023538 Loss_D_fake 0.000587
[849/5000][210/535][87471] Loss_D: -0.022810 Loss_G: -0.005174 Loss_D_real: -0.003023 Loss_D_fake 0.019787
[849/5000][215/535][87472] Loss_D: -0.022804 Loss_G: 0.019995 Loss_D_real: -0.019960 Loss_D_fake 0.002844
[849/5000][220/535][87473] Loss_D: -0.023597 Loss_G: 0.014441 Loss_D_real: -0.019590 Loss_D_fake 0.004007
[849/5000][225/535][87474] Loss_D: -0.023424 Loss_G: 0.017839 Loss_D_real: -0.029369 Loss_D_fake -0.005945
[849/5000][230/535][87475] Loss_D: -0.023306 Loss_G: 0.009544 Loss_D_real: -0.022458 Loss_D_fake 0.000848
[849/5000][235/535][87476] Loss_D: -0.022120 Loss_G: -0.018968 Loss_D_real: 0.000646 Loss_D_fake 0.022767
[849/5000][240/535][87477] Loss_D: -0.022233 Loss_G: 0.010208 Loss_D_real: -0.027129 Loss_D_fake -0.004896
[849/5000][245/535][87478] Loss_D: -0.023437 Loss_G: 0.015969 Loss_D_real: -0.034206 Loss_D_fake -0.010769
[849/5000][250/535][87479] Loss_D: -0.023403 Loss_G: 0.001046 Loss_D_real: -0.015183 Loss_D_fake 0.008220
[849/5000][255/535][87480] Loss_D: -0.022010 Loss_G: 0.017587 Loss_D_real: -0.029284 Loss_D_fake -0.007274
[849/5000][260/535][87481] Loss_D: -0.023092 Loss_G: 0.004437 Loss_D_real: -0.013393 Loss_D_fake 0.009699
[849/5000][265/535][87482] Loss_D: -0.023394 Loss_G: 0.020377 Loss_D_real: -0.028427 Loss_D_fake -0.005033
[849/5000][270/535][87483] Loss_D: -0.022584 Loss_G: -0.004490 Loss_D_real: -0.009422 Loss_D_fake 0.013162
[849/5000][275/535][87484] Loss_D: -0.023594 Loss_G: 0.001638 Loss_D_real: -0.015656 Loss_D_fake 0.007938
[849/5000][280/535][87485] Loss_D: -0.023444 Loss_G: 0.011378 Loss_D_real: -0.036789 Loss_D_fake -0.013345
[849/5000][285/535][87486] Loss_D: -0.023830 Loss_G: -0.002100 Loss_D_real: -0.010622 Loss_D_fake 0.013208
[849/5000][290/535][87487] Loss_D: -0.022777 Loss_G: 0.015129 Loss_D_real: -0.013028 Loss_D_fake 0.009749
[849/5000][295/535][87488] Loss_D: -0.022404 Loss_G: 0.009540 Loss_D_real: -0.030235 Loss_D_fake -0.007831
[849/5000][300/535][87489] Loss_D: -0.023840 Loss_G: 0.006115 Loss_D_real: -0.014723 Loss_D_fake 0.009117
[849/5000][305/535][87490] Loss_D: -0.023589 Loss_G: 0.007194 Loss_D_real: -0.022036 Loss_D_fake 0.001553
[849/5000][310/535][87491] Loss_D: -0.024165 Loss_G: 0.015102 Loss_D_real: -0.014092 Loss_D_fake 0.010073
[849/5000][315/535][87492] Loss_D: -0.022935 Loss_G: 0.004748 Loss_D_real: -0.021525 Loss_D_fake 0.001409
[849/5000][320/535][87493] Loss_D: -0.022742 Loss_G: 0.004802 Loss_D_real: -0.020980 Loss_D_fake 0.001763
[849/5000][325/535][87494] Loss_D: -0.022481 Loss_G: 0.036284 Loss_D_real: -0.032833 Loss_D_fake -0.010352
[849/5000][330/535][87495] Loss_D: -0.022504 Loss_G: 0.003412 Loss_D_real: -0.018077 Loss_D_fake 0.004426
[849/5000][335/535][87496] Loss_D: -0.023415 Loss_G: 0.008778 Loss_D_real: -0.010841 Loss_D_fake 0.012573
[849/5000][340/535][87497] Loss_D: -0.022783 Loss_G: 0.005752 Loss_D_real: -0.017645 Loss_D_fake 0.005138
[849/5000][345/535][87498] Loss_D: -0.023334 Loss_G: 0.005771 Loss_D_real: -0.019526 Loss_D_fake 0.003808
[849/5000][350/535][87499] Loss_D: -0.023354 Loss_G: 0.004350 Loss_D_real: -0.015224 Loss_D_fake 0.008130
[849/5000][355/535][87500] Loss_D: -0.022652 Loss_G: 0.015291 Loss_D_real: -0.024459 Loss_D_fake -0.001807
[849/5000][455/535][87501] Loss_D: -0.024816 Loss_G: -0.001612 Loss_D_real: -0.008768 Loss_D_fake 0.016048
[849/5000][460/535][87502] Loss_D: -0.024402 Loss_G: 0.003888 Loss_D_real: -0.018362 Loss_D_fake 0.006040
[849/5000][465/535][87503] Loss_D: -0.021738 Loss_G: 0.013304 Loss_D_real: -0.011161 Loss_D_fake 0.010577
[849/5000][470/535][87504] Loss_D: -0.021931 Loss_G: 0.002544 Loss_D_real: -0.023907 Loss_D_fake -0.001976
[849/5000][475/535][87505] Loss_D: -0.021898 Loss_G: 0.008552 Loss_D_real: -0.012575 Loss_D_fake 0.009323
[849/5000][480/535][87506] Loss_D: -0.021284 Loss_G: -0.000006 Loss_D_real: -0.014476 Loss_D_fake 0.006808
[849/5000][485/535][87507] Loss_D: -0.021607 Loss_G: 0.015760 Loss_D_real: -0.024154 Loss_D_fake -0.002547
[849/5000][490/535][87508] Loss_D: -0.022787 Loss_G: -0.006115 Loss_D_real: -0.015590 Loss_D_fake 0.007197
[849/5000][495/535][87509] Loss_D: -0.022418 Loss_G: 0.006313 Loss_D_real: -0.016620 Loss_D_fake 0.005799
[849/5000][500/535][87510] Loss_D: -0.021695 Loss_G: 0.016952 Loss_D_real: -0.024774 Loss_D_fake -0.003079
[849/5000][505/535][87511] Loss_D: -0.022826 Loss_G: 0.003747 Loss_D_real: -0.017653 Loss_D_fake 0.005173
[849/5000][510/535][87512] Loss_D: -0.020407 Loss_G: -0.013910 Loss_D_real: -0.009197 Loss_D_fake 0.011209
[849/5000][515/535][87513] Loss_D: -0.022300 Loss_G: 0.007712 Loss_D_real: -0.027140 Loss_D_fake -0.004839
[849/5000][520/535][87514] Loss_D: -0.021988 Loss_G: 0.003099 Loss_D_real: -0.020444 Loss_D_fake 0.001544
[849/5000][525/535][87515] Loss_D: -0.022799 Loss_G: 0.006527 Loss_D_real: -0.014890 Loss_D_fake 0.007909
[849/5000][530/535][87516] Loss_D: -0.021830 Loss_G: 0.016853 Loss_D_real: -0.016464 Loss_D_fake 0.005365
[849/5000][535/535][87517] Loss_D: -0.018537 Loss_G: 0.041367 Loss_D_real: -0.021895 Loss_D_fake -0.003359
[850/5000][5/535][87518] Loss_D: -0.021478 Loss_G: -0.003580 Loss_D_real: -0.009707 Loss_D_fake 0.011771
[850/5000][10/535][87519] Loss_D: -0.022242 Loss_G: 0.012307 Loss_D_real: -0.022568 Loss_D_fake -0.000326
[850/5000][15/535][87520] Loss_D: -0.022305 Loss_G: 0.002075 Loss_D_real: -0.010258 Loss_D_fake 0.012047
[850/5000][20/535][87521] Loss_D: -0.021952 Loss_G: 0.003319 Loss_D_real: -0.020179 Loss_D_fake 0.001772
[850/5000][25/535][87522] Loss_D: -0.023669 Loss_G: 0.005731 Loss_D_real: -0.023772 Loss_D_fake -0.000103
[850/5000][30/535][87523] Loss_D: -0.022222 Loss_G: 0.014463 Loss_D_real: -0.025498 Loss_D_fake -0.003276
[850/5000][35/535][87524] Loss_D: -0.023884 Loss_G: 0.015716 Loss_D_real: -0.017239 Loss_D_fake 0.006645
[850/5000][40/535][87525] Loss_D: -0.023308 Loss_G: 0.011427 Loss_D_real: -0.025777 Loss_D_fake -0.002468
[850/5000][45/535][87526] Loss_D: -0.024033 Loss_G: -0.012122 Loss_D_real: -0.009348 Loss_D_fake 0.014684
[850/5000][50/535][87527] Loss_D: -0.023172 Loss_G: 0.014042 Loss_D_real: -0.024733 Loss_D_fake -0.001560
[850/5000][55/535][87528] Loss_D: -0.023037 Loss_G: 0.007408 Loss_D_real: -0.019388 Loss_D_fake 0.003649
[850/5000][60/535][87529] Loss_D: -0.025098 Loss_G: 0.007544 Loss_D_real: -0.008546 Loss_D_fake 0.016551
[850/5000][65/535][87530] Loss_D: -0.023755 Loss_G: -0.000270 Loss_D_real: -0.017673 Loss_D_fake 0.006082
[850/5000][70/535][87531] Loss_D: -0.023822 Loss_G: 0.016965 Loss_D_real: -0.021872 Loss_D_fake 0.001950
[850/5000][75/535][87532] Loss_D: -0.024014 Loss_G: 0.003638 Loss_D_real: -0.015061 Loss_D_fake 0.008953
[850/5000][80/535][87533] Loss_D: -0.022629 Loss_G: -0.001675 Loss_D_real: 0.000193 Loss_D_fake 0.022823
[850/5000][85/535][87534] Loss_D: -0.021805 Loss_G: -0.017933 Loss_D_real: 0.005585 Loss_D_fake 0.027390
[850/5000][90/535][87535] Loss_D: -0.023358 Loss_G: 0.022341 Loss_D_real: -0.025793 Loss_D_fake -0.002435
[850/5000][95/535][87536] Loss_D: -0.023177 Loss_G: 0.018896 Loss_D_real: -0.025270 Loss_D_fake -0.002093
[850/5000][100/535][87537] Loss_D: -0.022511 Loss_G: 0.015314 Loss_D_real: -0.012400 Loss_D_fake 0.010112
[850/5000][105/535][87538] Loss_D: -0.023590 Loss_G: 0.006270 Loss_D_real: -0.028472 Loss_D_fake -0.004881
[850/5000][110/535][87539] Loss_D: -0.022917 Loss_G: -0.005976 Loss_D_real: -0.010972 Loss_D_fake 0.011944
[850/5000][115/535][87540] Loss_D: -0.022481 Loss_G: 0.007604 Loss_D_real: -0.020770 Loss_D_fake 0.001711
[850/5000][120/535][87541] Loss_D: -0.022654 Loss_G: -0.007197 Loss_D_real: 0.001154 Loss_D_fake 0.023808
[850/5000][125/535][87542] Loss_D: -0.021972 Loss_G: 0.008363 Loss_D_real: -0.026915 Loss_D_fake -0.004943
[850/5000][130/535][87543] Loss_D: -0.022735 Loss_G: -0.013651 Loss_D_real: 0.001070 Loss_D_fake 0.023805
[850/5000][135/535][87544] Loss_D: -0.023733 Loss_G: 0.013868 Loss_D_real: -0.019810 Loss_D_fake 0.003923
[850/5000][140/535][87545] Loss_D: -0.021723 Loss_G: -0.003854 Loss_D_real: -0.002108 Loss_D_fake 0.019616
[850/5000][145/535][87546] Loss_D: -0.022365 Loss_G: 0.000100 Loss_D_real: -0.016998 Loss_D_fake 0.005367
[850/5000][150/535][87547] Loss_D: -0.021964 Loss_G: 0.010661 Loss_D_real: -0.026119 Loss_D_fake -0.004155
[850/5000][155/535][87548] Loss_D: -0.023972 Loss_G: 0.029880 Loss_D_real: -0.027303 Loss_D_fake -0.003331
[850/5000][160/535][87549] Loss_D: -0.023528 Loss_G: 0.012667 Loss_D_real: -0.029674 Loss_D_fake -0.006146
[850/5000][165/535][87550] Loss_D: -0.022257 Loss_G: 0.009108 Loss_D_real: -0.011988 Loss_D_fake 0.010269
[850/5000][170/535][87551] Loss_D: -0.022628 Loss_G: 0.012289 Loss_D_real: -0.027031 Loss_D_fake -0.004403
[850/5000][175/535][87552] Loss_D: -0.024346 Loss_G: 0.004428 Loss_D_real: -0.010064 Loss_D_fake 0.014282
[850/5000][180/535][87553] Loss_D: -0.022751 Loss_G: 0.023420 Loss_D_real: -0.034024 Loss_D_fake -0.011274
[850/5000][185/535][87554] Loss_D: -0.022701 Loss_G: -0.003211 Loss_D_real: -0.011314 Loss_D_fake 0.011387
[850/5000][190/535][87555] Loss_D: -0.022032 Loss_G: 0.018025 Loss_D_real: -0.022065 Loss_D_fake -0.000032
[850/5000][195/535][87556] Loss_D: -0.021552 Loss_G: -0.004164 Loss_D_real: -0.011206 Loss_D_fake 0.010346
[850/5000][200/535][87557] Loss_D: -0.021120 Loss_G: 0.002725 Loss_D_real: -0.024152 Loss_D_fake -0.003032
[850/5000][205/535][87558] Loss_D: -0.022332 Loss_G: 0.028920 Loss_D_real: -0.034127 Loss_D_fake -0.011795
[850/5000][210/535][87559] Loss_D: -0.021008 Loss_G: -0.006156 Loss_D_real: 0.000347 Loss_D_fake 0.021355
[850/5000][215/535][87560] Loss_D: -0.022620 Loss_G: 0.005970 Loss_D_real: -0.024298 Loss_D_fake -0.001679
[850/5000][220/535][87561] Loss_D: -0.022807 Loss_G: 0.025680 Loss_D_real: -0.020777 Loss_D_fake 0.002029
[850/5000][225/535][87562] Loss_D: -0.023252 Loss_G: 0.000030 Loss_D_real: -0.007574 Loss_D_fake 0.015678
[850/5000][230/535][87563] Loss_D: -0.023295 Loss_G: 0.012383 Loss_D_real: -0.018560 Loss_D_fake 0.004735
[850/5000][235/535][87564] Loss_D: -0.023338 Loss_G: -0.008311 Loss_D_real: -0.008796 Loss_D_fake 0.014542
[850/5000][240/535][87565] Loss_D: -0.022862 Loss_G: -0.001000 Loss_D_real: -0.011308 Loss_D_fake 0.011553
[850/5000][245/535][87566] Loss_D: -0.023260 Loss_G: 0.009066 Loss_D_real: -0.025888 Loss_D_fake -0.002628
[850/5000][250/535][87567] Loss_D: -0.023842 Loss_G: 0.003091 Loss_D_real: -0.016447 Loss_D_fake 0.007394
[850/5000][255/535][87568] Loss_D: -0.023791 Loss_G: 0.007486 Loss_D_real: -0.019684 Loss_D_fake 0.004107
[850/5000][260/535][87569] Loss_D: -0.024580 Loss_G: -0.001056 Loss_D_real: -0.014283 Loss_D_fake 0.010297
[850/5000][265/535][87570] Loss_D: -0.022501 Loss_G: 0.026721 Loss_D_real: -0.037158 Loss_D_fake -0.014657
[850/5000][270/535][87571] Loss_D: -0.023326 Loss_G: -0.007977 Loss_D_real: -0.012983 Loss_D_fake 0.010343
[850/5000][275/535][87572] Loss_D: -0.023743 Loss_G: 0.018528 Loss_D_real: -0.023919 Loss_D_fake -0.000175
[850/5000][280/535][87573] Loss_D: -0.022569 Loss_G: -0.001409 Loss_D_real: -0.009283 Loss_D_fake 0.013286
[850/5000][285/535][87574] Loss_D: -0.020975 Loss_G: 0.027642 Loss_D_real: -0.039297 Loss_D_fake -0.018323
[850/5000][290/535][87575] Loss_D: -0.022698 Loss_G: 0.008516 Loss_D_real: -0.011505 Loss_D_fake 0.011194
[850/5000][295/535][87576] Loss_D: -0.022475 Loss_G: 0.003033 Loss_D_real: -0.015084 Loss_D_fake 0.007391
[850/5000][300/535][87577] Loss_D: -0.021541 Loss_G: 0.028065 Loss_D_real: -0.034242 Loss_D_fake -0.012701
[850/5000][305/535][87578] Loss_D: -0.023826 Loss_G: -0.011612 Loss_D_real: -0.019963 Loss_D_fake 0.003863
[850/5000][310/535][87579] Loss_D: -0.022650 Loss_G: 0.012983 Loss_D_real: -0.014828 Loss_D_fake 0.007822
[850/5000][315/535][87580] Loss_D: -0.022407 Loss_G: 0.016046 Loss_D_real: -0.024151 Loss_D_fake -0.001744
[850/5000][320/535][87581] Loss_D: -0.022786 Loss_G: -0.013300 Loss_D_real: -0.011792 Loss_D_fake 0.010994
[850/5000][325/535][87582] Loss_D: -0.022256 Loss_G: 0.013571 Loss_D_real: -0.028901 Loss_D_fake -0.006645
[850/5000][330/535][87583] Loss_D: -0.023421 Loss_G: 0.006283 Loss_D_real: -0.009551 Loss_D_fake 0.013870
[850/5000][335/535][87584] Loss_D: -0.023054 Loss_G: 0.008731 Loss_D_real: -0.017658 Loss_D_fake 0.005397
[850/5000][340/535][87585] Loss_D: -0.020426 Loss_G: 0.010203 Loss_D_real: -0.029133 Loss_D_fake -0.008707
[850/5000][345/535][87586] Loss_D: -0.023687 Loss_G: 0.011389 Loss_D_real: -0.021713 Loss_D_fake 0.001975
[850/5000][350/535][87587] Loss_D: -0.023641 Loss_G: 0.017836 Loss_D_real: -0.021639 Loss_D_fake 0.002002
[850/5000][355/535][87588] Loss_D: -0.021507 Loss_G: 0.013853 Loss_D_real: -0.027255 Loss_D_fake -0.005748
[850/5000][360/535][87589] Loss_D: -0.024127 Loss_G: -0.000379 Loss_D_real: -0.016430 Loss_D_fake 0.007697
[850/5000][365/535][87590] Loss_D: -0.020881 Loss_G: 0.021611 Loss_D_real: -0.022155 Loss_D_fake -0.001274
[850/5000][370/535][87591] Loss_D: -0.021999 Loss_G: 0.013806 Loss_D_real: -0.030656 Loss_D_fake -0.008657
[850/5000][375/535][87592] Loss_D: -0.023306 Loss_G: 0.002658 Loss_D_real: -0.006013 Loss_D_fake 0.017293
[850/5000][380/535][87593] Loss_D: -0.023553 Loss_G: 0.011061 Loss_D_real: -0.020225 Loss_D_fake 0.003328
[850/5000][385/535][87594] Loss_D: -0.022706 Loss_G: -0.004932 Loss_D_real: -0.007719 Loss_D_fake 0.014987
[850/5000][390/535][87595] Loss_D: -0.022887 Loss_G: 0.005156 Loss_D_real: -0.012135 Loss_D_fake 0.010752
[850/5000][395/535][87596] Loss_D: -0.023622 Loss_G: 0.010598 Loss_D_real: -0.015554 Loss_D_fake 0.008069
[850/5000][400/535][87597] Loss_D: -0.023125 Loss_G: 0.005994 Loss_D_real: -0.023758 Loss_D_fake -0.000634
[850/5000][405/535][87598] Loss_D: -0.024596 Loss_G: 0.002304 Loss_D_real: -0.016512 Loss_D_fake 0.008084
[850/5000][410/535][87599] Loss_D: -0.024788 Loss_G: 0.007044 Loss_D_real: -0.012664 Loss_D_fake 0.012124
[850/5000][415/535][87600] Loss_D: -0.022582 Loss_G: 0.007965 Loss_D_real: -0.020464 Loss_D_fake 0.002117
[850/5000][420/535][87601] Loss_D: -0.021426 Loss_G: 0.018110 Loss_D_real: -0.030092 Loss_D_fake -0.008666
[850/5000][425/535][87602] Loss_D: -0.021863 Loss_G: -0.011728 Loss_D_real: -0.005837 Loss_D_fake 0.016026
[850/5000][430/535][87603] Loss_D: -0.021875 Loss_G: 0.010784 Loss_D_real: -0.009539 Loss_D_fake 0.012335
[850/5000][435/535][87604] Loss_D: -0.023253 Loss_G: 0.009339 Loss_D_real: -0.024219 Loss_D_fake -0.000966
[850/5000][440/535][87605] Loss_D: -0.023933 Loss_G: 0.002390 Loss_D_real: -0.011879 Loss_D_fake 0.012054
[850/5000][445/535][87606] Loss_D: -0.024078 Loss_G: 0.018121 Loss_D_real: -0.014374 Loss_D_fake 0.009704
[850/5000][450/535][87607] Loss_D: -0.023267 Loss_G: 0.017738 Loss_D_real: -0.022283 Loss_D_fake 0.000985
[850/5000][455/535][87608] Loss_D: -0.023559 Loss_G: 0.010545 Loss_D_real: -0.022297 Loss_D_fake 0.001262
[850/5000][460/535][87609] Loss_D: -0.023038 Loss_G: 0.012999 Loss_D_real: -0.024964 Loss_D_fake -0.001926
[850/5000][465/535][87610] Loss_D: -0.022436 Loss_G: 0.027207 Loss_D_real: -0.030921 Loss_D_fake -0.008485
[850/5000][470/535][87611] Loss_D: -0.022661 Loss_G: 0.002897 Loss_D_real: -0.021030 Loss_D_fake 0.001631
[850/5000][475/535][87612] Loss_D: -0.021665 Loss_G: 0.023805 Loss_D_real: -0.035111 Loss_D_fake -0.013447
[850/5000][480/535][87613] Loss_D: -0.022360 Loss_G: 0.016141 Loss_D_real: -0.019421 Loss_D_fake 0.002939
[850/5000][485/535][87614] Loss_D: -0.021043 Loss_G: 0.022153 Loss_D_real: -0.035664 Loss_D_fake -0.014621
[850/5000][490/535][87615] Loss_D: -0.021767 Loss_G: 0.000455 Loss_D_real: -0.011767 Loss_D_fake 0.010000
[850/5000][495/535][87616] Loss_D: -0.021051 Loss_G: 0.011846 Loss_D_real: -0.015833 Loss_D_fake 0.005218
[850/5000][500/535][87617] Loss_D: -0.022654 Loss_G: 0.011911 Loss_D_real: -0.018844 Loss_D_fake 0.003810
[850/5000][505/535][87618] Loss_D: -0.022297 Loss_G: -0.004543 Loss_D_real: -0.013800 Loss_D_fake 0.008497
[850/5000][510/535][87619] Loss_D: -0.022249 Loss_G: 0.001656 Loss_D_real: -0.016905 Loss_D_fake 0.005344
[850/5000][515/535][87620] Loss_D: -0.023441 Loss_G: 0.016351 Loss_D_real: -0.018138 Loss_D_fake 0.005303
[850/5000][520/535][87621] Loss_D: -0.023762 Loss_G: 0.007602 Loss_D_real: -0.015653 Loss_D_fake 0.008109
[850/5000][525/535][87622] Loss_D: -0.021856 Loss_G: 0.021903 Loss_D_real: -0.025406 Loss_D_fake -0.003550
[850/5000][530/535][87623] Loss_D: -0.022311 Loss_G: -0.000309 Loss_D_real: -0.007330 Loss_D_fake 0.014981
[850/5000][535/535][87624] Loss_D: -0.023607 Loss_G: 0.022391 Loss_D_real: -0.019082 Loss_D_fake 0.004525
[851/5000][5/535][87625] Loss_D: -0.023203 Loss_G: -0.006206 Loss_D_real: -0.016721 Loss_D_fake 0.006482
[851/5000][10/535][87626] Loss_D: -0.024144 Loss_G: 0.006364 Loss_D_real: -0.023180 Loss_D_fake 0.000964
[851/5000][15/535][87627] Loss_D: -0.024069 Loss_G: 0.017659 Loss_D_real: -0.024129 Loss_D_fake -0.000060
[851/5000][20/535][87628] Loss_D: -0.024824 Loss_G: 0.001144 Loss_D_real: -0.017492 Loss_D_fake 0.007332
[851/5000][25/535][87629] Loss_D: -0.024637 Loss_G: 0.013015 Loss_D_real: -0.017639 Loss_D_fake 0.006998
[851/5000][30/535][87630] Loss_D: -0.022781 Loss_G: -0.010635 Loss_D_real: -0.002388 Loss_D_fake 0.020392
[851/5000][35/535][87631] Loss_D: -0.023768 Loss_G: 0.017533 Loss_D_real: -0.022626 Loss_D_fake 0.001141
[851/5000][40/535][87632] Loss_D: -0.022643 Loss_G: 0.032612 Loss_D_real: -0.034307 Loss_D_fake -0.011665
[851/5000][45/535][87633] Loss_D: -0.022685 Loss_G: 0.008144 Loss_D_real: -0.026302 Loss_D_fake -0.003617
[851/5000][50/535][87634] Loss_D: -0.023044 Loss_G: 0.002848 Loss_D_real: -0.018371 Loss_D_fake 0.004673
[851/5000][55/535][87635] Loss_D: -0.024117 Loss_G: 0.013807 Loss_D_real: -0.016928 Loss_D_fake 0.007189
[851/5000][60/535][87636] Loss_D: -0.023594 Loss_G: 0.007707 Loss_D_real: -0.007481 Loss_D_fake 0.016112
[851/5000][65/535][87637] Loss_D: -0.022714 Loss_G: 0.017314 Loss_D_real: -0.019931 Loss_D_fake 0.002783
[851/5000][70/535][87638] Loss_D: -0.023753 Loss_G: 0.009125 Loss_D_real: -0.029583 Loss_D_fake -0.005831
[851/5000][75/535][87639] Loss_D: -0.023353 Loss_G: 0.019243 Loss_D_real: -0.027554 Loss_D_fake -0.004201
[851/5000][80/535][87640] Loss_D: -0.023007 Loss_G: 0.003659 Loss_D_real: -0.015022 Loss_D_fake 0.007986
[851/5000][85/535][87641] Loss_D: -0.023578 Loss_G: 0.000551 Loss_D_real: -0.016757 Loss_D_fake 0.006820
[851/5000][90/535][87642] Loss_D: -0.021204 Loss_G: 0.021800 Loss_D_real: -0.031573 Loss_D_fake -0.010369
[851/5000][95/535][87643] Loss_D: -0.022770 Loss_G: -0.008009 Loss_D_real: -0.009893 Loss_D_fake 0.012877
[851/5000][100/535][87644] Loss_D: -0.024585 Loss_G: 0.019181 Loss_D_real: -0.020442 Loss_D_fake 0.004144
[851/5000][105/535][87645] Loss_D: -0.022770 Loss_G: 0.021623 Loss_D_real: -0.021779 Loss_D_fake 0.000991
[851/5000][110/535][87646] Loss_D: -0.023743 Loss_G: 0.001643 Loss_D_real: -0.017763 Loss_D_fake 0.005980
[851/5000][115/535][87647] Loss_D: -0.021480 Loss_G: 0.021770 Loss_D_real: -0.035147 Loss_D_fake -0.013667
[851/5000][120/535][87648] Loss_D: -0.022834 Loss_G: -0.013429 Loss_D_real: -0.004872 Loss_D_fake 0.017963
[851/5000][125/535][87649] Loss_D: -0.021973 Loss_G: 0.005432 Loss_D_real: -0.019396 Loss_D_fake 0.002577
[851/5000][130/535][87650] Loss_D: -0.023044 Loss_G: 0.013443 Loss_D_real: -0.028567 Loss_D_fake -0.005523
[851/5000][135/535][87651] Loss_D: -0.022539 Loss_G: 0.006991 Loss_D_real: -0.022666 Loss_D_fake -0.000127
[851/5000][140/535][87652] Loss_D: -0.023884 Loss_G: 0.007861 Loss_D_real: -0.011056 Loss_D_fake 0.012828
[851/5000][145/535][87653] Loss_D: -0.022727 Loss_G: 0.027004 Loss_D_real: -0.030027 Loss_D_fake -0.007300
[851/5000][150/535][87654] Loss_D: -0.023725 Loss_G: 0.012769 Loss_D_real: -0.021791 Loss_D_fake 0.001934
[851/5000][155/535][87655] Loss_D: -0.022053 Loss_G: 0.021993 Loss_D_real: -0.030413 Loss_D_fake -0.008361
[851/5000][160/535][87656] Loss_D: -0.022747 Loss_G: 0.000721 Loss_D_real: -0.019846 Loss_D_fake 0.002901
[851/5000][165/535][87657] Loss_D: -0.021373 Loss_G: 0.020649 Loss_D_real: -0.030480 Loss_D_fake -0.009108
[851/5000][170/535][87658] Loss_D: -0.022758 Loss_G: -0.009234 Loss_D_real: -0.014966 Loss_D_fake 0.007792
[851/5000][175/535][87659] Loss_D: -0.023602 Loss_G: 0.015017 Loss_D_real: -0.023335 Loss_D_fake 0.000267
[851/5000][180/535][87660] Loss_D: -0.022974 Loss_G: 0.000303 Loss_D_real: -0.000741 Loss_D_fake 0.022233
[851/5000][185/535][87661] Loss_D: -0.022868 Loss_G: 0.008943 Loss_D_real: -0.022770 Loss_D_fake 0.000098
[851/5000][190/535][87662] Loss_D: -0.022854 Loss_G: 0.020071 Loss_D_real: -0.023489 Loss_D_fake -0.000635
[851/5000][195/535][87663] Loss_D: -0.021730 Loss_G: 0.022138 Loss_D_real: -0.030380 Loss_D_fake -0.008650
[851/5000][200/535][87664] Loss_D: -0.022618 Loss_G: 0.013131 Loss_D_real: -0.023812 Loss_D_fake -0.001194
[851/5000][205/535][87665] Loss_D: -0.022658 Loss_G: -0.003808 Loss_D_real: -0.013397 Loss_D_fake 0.009261
[851/5000][210/535][87666] Loss_D: -0.022877 Loss_G: 0.001398 Loss_D_real: -0.008862 Loss_D_fake 0.014015
[851/5000][215/535][87667] Loss_D: -0.023029 Loss_G: 0.006577 Loss_D_real: -0.029853 Loss_D_fake -0.006824
[851/5000][220/535][87668] Loss_D: -0.023540 Loss_G: 0.020952 Loss_D_real: -0.018350 Loss_D_fake 0.005190
[851/5000][225/535][87669] Loss_D: -0.023006 Loss_G: -0.014393 Loss_D_real: -0.005163 Loss_D_fake 0.017843
[851/5000][230/535][87670] Loss_D: -0.022550 Loss_G: -0.000309 Loss_D_real: -0.010622 Loss_D_fake 0.011929
[851/5000][235/535][87671] Loss_D: -0.022672 Loss_G: -0.001694 Loss_D_real: -0.003322 Loss_D_fake 0.019350
[851/5000][240/535][87672] Loss_D: -0.022089 Loss_G: 0.021493 Loss_D_real: -0.032434 Loss_D_fake -0.010345
[851/5000][245/535][87673] Loss_D: -0.022418 Loss_G: 0.004410 Loss_D_real: -0.016137 Loss_D_fake 0.006281
[851/5000][250/535][87674] Loss_D: -0.023196 Loss_G: 0.014016 Loss_D_real: -0.030474 Loss_D_fake -0.007278
[851/5000][255/535][87675] Loss_D: -0.023473 Loss_G: 0.003980 Loss_D_real: -0.009221 Loss_D_fake 0.014252
[851/5000][260/535][87676] Loss_D: -0.022781 Loss_G: 0.015730 Loss_D_real: -0.027090 Loss_D_fake -0.004309
[851/5000][265/535][87677] Loss_D: -0.022869 Loss_G: 0.012366 Loss_D_real: -0.024301 Loss_D_fake -0.001432
[851/5000][270/535][87678] Loss_D: -0.022748 Loss_G: 0.011846 Loss_D_real: -0.011112 Loss_D_fake 0.011636
[851/5000][275/535][87679] Loss_D: -0.023552 Loss_G: 0.000797 Loss_D_real: -0.012567 Loss_D_fake 0.010985
[851/5000][280/535][87680] Loss_D: -0.022813 Loss_G: 0.012203 Loss_D_real: -0.012712 Loss_D_fake 0.010101
[851/5000][285/535][87681] Loss_D: -0.023100 Loss_G: 0.008783 Loss_D_real: -0.017814 Loss_D_fake 0.005286
[851/5000][290/535][87682] Loss_D: -0.022776 Loss_G: 0.008609 Loss_D_real: -0.022216 Loss_D_fake 0.000560
[851/5000][295/535][87683] Loss_D: -0.023368 Loss_G: 0.023284 Loss_D_real: -0.026110 Loss_D_fake -0.002742
[851/5000][300/535][87684] Loss_D: -0.023015 Loss_G: 0.005111 Loss_D_real: -0.020094 Loss_D_fake 0.002920
[851/5000][305/535][87685] Loss_D: -0.021020 Loss_G: 0.018884 Loss_D_real: -0.033811 Loss_D_fake -0.012792
[851/5000][310/535][87686] Loss_D: -0.022744 Loss_G: 0.025904 Loss_D_real: -0.021087 Loss_D_fake 0.001657
[851/5000][315/535][87687] Loss_D: -0.023522 Loss_G: 0.008143 Loss_D_real: -0.019658 Loss_D_fake 0.003864
[851/5000][320/535][87688] Loss_D: -0.021762 Loss_G: 0.023930 Loss_D_real: -0.028208 Loss_D_fake -0.006446
[851/5000][325/535][87689] Loss_D: -0.023386 Loss_G: 0.002704 Loss_D_real: -0.004252 Loss_D_fake 0.019134
[851/5000][330/535][87690] Loss_D: -0.022316 Loss_G: 0.015282 Loss_D_real: -0.027990 Loss_D_fake -0.005674
[851/5000][335/535][87691] Loss_D: -0.023639 Loss_G: -0.001829 Loss_D_real: -0.009334 Loss_D_fake 0.014306
[851/5000][340/535][87692] Loss_D: -0.022470 Loss_G: 0.015703 Loss_D_real: -0.023171 Loss_D_fake -0.000702
[851/5000][345/535][87693] Loss_D: -0.022688 Loss_G: -0.012077 Loss_D_real: -0.003248 Loss_D_fake 0.019440
[851/5000][350/535][87694] Loss_D: -0.023692 Loss_G: 0.007014 Loss_D_real: -0.022778 Loss_D_fake 0.000914
[851/5000][355/535][87695] Loss_D: -0.023179 Loss_G: -0.001840 Loss_D_real: -0.006918 Loss_D_fake 0.016261
[851/5000][360/535][87696] Loss_D: -0.022136 Loss_G: 0.025251 Loss_D_real: -0.026549 Loss_D_fake -0.004413
[851/5000][365/535][87697] Loss_D: -0.022052 Loss_G: 0.010076 Loss_D_real: -0.016041 Loss_D_fake 0.006011
[851/5000][370/535][87698] Loss_D: -0.022599 Loss_G: -0.002445 Loss_D_real: -0.013767 Loss_D_fake 0.008832
[851/5000][375/535][87699] Loss_D: -0.022026 Loss_G: 0.000348 Loss_D_real: -0.010119 Loss_D_fake 0.011907
[851/5000][380/535][87700] Loss_D: -0.021071 Loss_G: -0.007290 Loss_D_real: -0.001915 Loss_D_fake 0.019155
[851/5000][385/535][87701] Loss_D: -0.022692 Loss_G: 0.007836 Loss_D_real: -0.017681 Loss_D_fake 0.005011
[851/5000][390/535][87702] Loss_D: -0.021867 Loss_G: 0.017045 Loss_D_real: -0.026983 Loss_D_fake -0.005116
[851/5000][395/535][87703] Loss_D: -0.021819 Loss_G: 0.001815 Loss_D_real: -0.020962 Loss_D_fake 0.000856
[851/5000][400/535][87704] Loss_D: -0.022079 Loss_G: 0.019405 Loss_D_real: -0.029706 Loss_D_fake -0.007627
[851/5000][405/535][87705] Loss_D: -0.022844 Loss_G: 0.020112 Loss_D_real: -0.023348 Loss_D_fake -0.000505
[851/5000][410/535][87706] Loss_D: -0.022643 Loss_G: 0.001960 Loss_D_real: -0.015676 Loss_D_fake 0.006968
[851/5000][415/535][87707] Loss_D: -0.021815 Loss_G: 0.013589 Loss_D_real: -0.019682 Loss_D_fake 0.002133
[851/5000][420/535][87708] Loss_D: -0.022680 Loss_G: 0.008135 Loss_D_real: -0.014695 Loss_D_fake 0.007985
[851/5000][425/535][87709] Loss_D: -0.024179 Loss_G: 0.005972 Loss_D_real: -0.012280 Loss_D_fake 0.011899
[851/5000][430/535][87710] Loss_D: -0.022794 Loss_G: 0.009405 Loss_D_real: -0.015704 Loss_D_fake 0.007090
[851/5000][435/535][87711] Loss_D: -0.022575 Loss_G: 0.030572 Loss_D_real: -0.029774 Loss_D_fake -0.007199
[851/5000][440/535][87712] Loss_D: -0.023417 Loss_G: 0.012255 Loss_D_real: -0.015648 Loss_D_fake 0.007769
[851/5000][445/535][87713] Loss_D: -0.023638 Loss_G: 0.008082 Loss_D_real: -0.022137 Loss_D_fake 0.001501
[851/5000][450/535][87714] Loss_D: -0.022290 Loss_G: 0.028666 Loss_D_real: -0.025329 Loss_D_fake -0.003039
[851/5000][455/535][87715] Loss_D: -0.022698 Loss_G: -0.012275 Loss_D_real: -0.007235 Loss_D_fake 0.015463
[851/5000][460/535][87716] Loss_D: -0.021072 Loss_G: 0.026530 Loss_D_real: -0.028581 Loss_D_fake -0.007508
[851/5000][465/535][87717] Loss_D: -0.023509 Loss_G: 0.009208 Loss_D_real: -0.012456 Loss_D_fake 0.011053
[851/5000][470/535][87718] Loss_D: -0.023148 Loss_G: 0.026214 Loss_D_real: -0.028919 Loss_D_fake -0.005771
[851/5000][475/535][87719] Loss_D: -0.023237 Loss_G: -0.006131 Loss_D_real: -0.008540 Loss_D_fake 0.014696
[851/5000][480/535][87720] Loss_D: -0.022564 Loss_G: 0.023673 Loss_D_real: -0.026259 Loss_D_fake -0.003695
[851/5000][485/535][87721] Loss_D: -0.024028 Loss_G: 0.015156 Loss_D_real: -0.021759 Loss_D_fake 0.002269
[851/5000][490/535][87722] Loss_D: -0.023893 Loss_G: 0.000874 Loss_D_real: -0.013725 Loss_D_fake 0.010168
[851/5000][495/535][87723] Loss_D: -0.024129 Loss_G: 0.007058 Loss_D_real: -0.016695 Loss_D_fake 0.007434
[851/5000][500/535][87724] Loss_D: -0.026111 Loss_G: 0.021953 Loss_D_real: -0.020219 Loss_D_fake 0.005892
[851/5000][505/535][87725] Loss_D: -0.023115 Loss_G: 0.025438 Loss_D_real: -0.021735 Loss_D_fake 0.001380
[851/5000][510/535][87726] Loss_D: -0.024578 Loss_G: 0.003129 Loss_D_real: -0.022157 Loss_D_fake 0.002421
[851/5000][515/535][87727] Loss_D: -0.024121 Loss_G: 0.003094 Loss_D_real: -0.012371 Loss_D_fake 0.011750
[851/5000][520/535][87728] Loss_D: -0.024498 Loss_G: 0.018417 Loss_D_real: -0.025186 Loss_D_fake -0.000688
[851/5000][525/535][87729] Loss_D: -0.024262 Loss_G: 0.019612 Loss_D_real: -0.011609 Loss_D_fake 0.012653
[851/5000][530/535][87730] Loss_D: -0.023187 Loss_G: 0.004209 Loss_D_real: -0.008616 Loss_D_fake 0.014571
[851/5000][535/535][87731] Loss_D: -0.022810 Loss_G: 0.021313 Loss_D_real: -0.022713 Loss_D_fake 0.000097
[852/5000][5/535][87732] Loss_D: -0.023566 Loss_G: -0.002268 Loss_D_real: -0.021134 Loss_D_fake 0.002432
[852/5000][10/535][87733] Loss_D: -0.022054 Loss_G: 0.018306 Loss_D_real: -0.018462 Loss_D_fake 0.003592
[852/5000][15/535][87734] Loss_D: -0.022262 Loss_G: 0.009394 Loss_D_real: -0.018931 Loss_D_fake 0.003331
[852/5000][20/535][87735] Loss_D: -0.022637 Loss_G: 0.019715 Loss_D_real: -0.026842 Loss_D_fake -0.004205
[852/5000][25/535][87736] Loss_D: -0.023181 Loss_G: 0.010817 Loss_D_real: -0.030707 Loss_D_fake -0.007526
[852/5000][30/535][87737] Loss_D: -0.024670 Loss_G: -0.002506 Loss_D_real: -0.027220 Loss_D_fake -0.002550
[852/5000][35/535][87738] Loss_D: -0.022991 Loss_G: 0.010897 Loss_D_real: -0.012596 Loss_D_fake 0.010395
[852/5000][40/535][87739] Loss_D: -0.023554 Loss_G: 0.022385 Loss_D_real: -0.029540 Loss_D_fake -0.005986
[852/5000][45/535][87740] Loss_D: -0.023494 Loss_G: 0.012262 Loss_D_real: -0.014834 Loss_D_fake 0.008660
[852/5000][50/535][87741] Loss_D: -0.024454 Loss_G: 0.003124 Loss_D_real: 0.000036 Loss_D_fake 0.024491
[852/5000][55/535][87742] Loss_D: -0.022745 Loss_G: 0.021908 Loss_D_real: -0.026168 Loss_D_fake -0.003423
[852/5000][60/535][87743] Loss_D: -0.023720 Loss_G: 0.020203 Loss_D_real: -0.028975 Loss_D_fake -0.005256
[852/5000][65/535][87744] Loss_D: -0.023238 Loss_G: -0.002362 Loss_D_real: -0.009480 Loss_D_fake 0.013758
[852/5000][70/535][87745] Loss_D: -0.022350 Loss_G: 0.004055 Loss_D_real: -0.019405 Loss_D_fake 0.002944
[852/5000][75/535][87746] Loss_D: -0.024388 Loss_G: 0.018075 Loss_D_real: -0.022091 Loss_D_fake 0.002297
[852/5000][80/535][87747] Loss_D: -0.022911 Loss_G: -0.001256 Loss_D_real: -0.019362 Loss_D_fake 0.003549
[852/5000][85/535][87748] Loss_D: -0.023735 Loss_G: 0.013699 Loss_D_real: -0.020201 Loss_D_fake 0.003534
[852/5000][90/535][87749] Loss_D: -0.022112 Loss_G: 0.008398 Loss_D_real: -0.020350 Loss_D_fake 0.001762
[852/5000][95/535][87750] Loss_D: -0.022763 Loss_G: 0.014032 Loss_D_real: -0.022380 Loss_D_fake 0.000383
[852/5000][100/535][87751] Loss_D: -0.023252 Loss_G: 0.011320 Loss_D_real: -0.028899 Loss_D_fake -0.005646
[852/5000][105/535][87752] Loss_D: -0.022106 Loss_G: 0.013463 Loss_D_real: -0.017820 Loss_D_fake 0.004286
[852/5000][110/535][87753] Loss_D: -0.023326 Loss_G: 0.010178 Loss_D_real: -0.027785 Loss_D_fake -0.004459
[852/5000][115/535][87754] Loss_D: -0.023232 Loss_G: -0.003399 Loss_D_real: -0.015570 Loss_D_fake 0.007662
[852/5000][120/535][87755] Loss_D: -0.023087 Loss_G: 0.005151 Loss_D_real: -0.020221 Loss_D_fake 0.002866
[852/5000][125/535][87756] Loss_D: -0.023042 Loss_G: 0.018896 Loss_D_real: -0.020433 Loss_D_fake 0.002609
[852/5000][130/535][87757] Loss_D: -0.023253 Loss_G: 0.009297 Loss_D_real: -0.015391 Loss_D_fake 0.007862
[852/5000][135/535][87758] Loss_D: -0.023008 Loss_G: 0.012069 Loss_D_real: -0.020636 Loss_D_fake 0.002372
[852/5000][140/535][87759] Loss_D: -0.022852 Loss_G: 0.025109 Loss_D_real: -0.029167 Loss_D_fake -0.006315
[852/5000][145/535][87760] Loss_D: -0.021704 Loss_G: -0.004744 Loss_D_real: 0.008817 Loss_D_fake 0.030521
[852/5000][150/535][87761] Loss_D: -0.021923 Loss_G: 0.004787 Loss_D_real: -0.029102 Loss_D_fake -0.007179
[852/5000][155/535][87762] Loss_D: -0.021609 Loss_G: 0.000358 Loss_D_real: -0.006621 Loss_D_fake 0.014988
[852/5000][160/535][87763] Loss_D: -0.023333 Loss_G: 0.006469 Loss_D_real: -0.008887 Loss_D_fake 0.014445
[852/5000][165/535][87764] Loss_D: -0.022409 Loss_G: 0.015243 Loss_D_real: -0.032287 Loss_D_fake -0.009878
[852/5000][170/535][87765] Loss_D: -0.023196 Loss_G: -0.005690 Loss_D_real: -0.014941 Loss_D_fake 0.008256
[852/5000][175/535][87766] Loss_D: -0.022032 Loss_G: 0.003659 Loss_D_real: -0.012488 Loss_D_fake 0.009544
[852/5000][180/535][87767] Loss_D: -0.022826 Loss_G: 0.016237 Loss_D_real: -0.020095 Loss_D_fake 0.002731
[852/5000][185/535][87768] Loss_D: -0.022375 Loss_G: 0.012314 Loss_D_real: -0.027638 Loss_D_fake -0.005263
[852/5000][190/535][87769] Loss_D: -0.024162 Loss_G: 0.024703 Loss_D_real: -0.027616 Loss_D_fake -0.003454
[852/5000][195/535][87770] Loss_D: -0.023544 Loss_G: 0.002071 Loss_D_real: -0.015665 Loss_D_fake 0.007879
[852/5000][200/535][87771] Loss_D: -0.023230 Loss_G: 0.009155 Loss_D_real: -0.013250 Loss_D_fake 0.009980
[852/5000][205/535][87772] Loss_D: -0.022723 Loss_G: 0.006490 Loss_D_real: -0.021509 Loss_D_fake 0.001214
[852/5000][210/535][87773] Loss_D: -0.023060 Loss_G: -0.004544 Loss_D_real: -0.017815 Loss_D_fake 0.005245
[852/5000][215/535][87774] Loss_D: -0.024244 Loss_G: 0.018647 Loss_D_real: -0.008075 Loss_D_fake 0.016169
[852/5000][220/535][87775] Loss_D: -0.021915 Loss_G: 0.001202 Loss_D_real: -0.014118 Loss_D_fake 0.007797
[852/5000][225/535][87776] Loss_D: -0.022292 Loss_G: 0.015248 Loss_D_real: -0.018954 Loss_D_fake 0.003338
[852/5000][230/535][87777] Loss_D: -0.023515 Loss_G: 0.014813 Loss_D_real: -0.016517 Loss_D_fake 0.006998
[852/5000][235/535][87778] Loss_D: -0.022782 Loss_G: 0.003264 Loss_D_real: -0.016333 Loss_D_fake 0.006449
[852/5000][240/535][87779] Loss_D: -0.022426 Loss_G: 0.002841 Loss_D_real: -0.024070 Loss_D_fake -0.001644
[852/5000][245/535][87780] Loss_D: -0.023292 Loss_G: 0.013851 Loss_D_real: -0.016823 Loss_D_fake 0.006469
[852/5000][250/535][87781] Loss_D: -0.022996 Loss_G: -0.007711 Loss_D_real: -0.013222 Loss_D_fake 0.009775
[852/5000][255/535][87782] Loss_D: -0.024125 Loss_G: 0.007093 Loss_D_real: -0.017197 Loss_D_fake 0.006928
[852/5000][260/535][87783] Loss_D: -0.023869 Loss_G: 0.003596 Loss_D_real: -0.015542 Loss_D_fake 0.008327
[852/5000][265/535][87784] Loss_D: -0.022569 Loss_G: 0.026072 Loss_D_real: -0.018758 Loss_D_fake 0.003810
[852/5000][270/535][87785] Loss_D: -0.022590 Loss_G: 0.002925 Loss_D_real: -0.020412 Loss_D_fake 0.002178
[852/5000][275/535][87786] Loss_D: -0.023855 Loss_G: 0.019240 Loss_D_real: -0.025813 Loss_D_fake -0.001958
[852/5000][280/535][87787] Loss_D: -0.022866 Loss_G: 0.000967 Loss_D_real: -0.016227 Loss_D_fake 0.006640
[852/5000][285/535][87788] Loss_D: -0.022252 Loss_G: -0.007042 Loss_D_real: -0.012630 Loss_D_fake 0.009622
[852/5000][290/535][87789] Loss_D: -0.023460 Loss_G: 0.026239 Loss_D_real: -0.018187 Loss_D_fake 0.005273
[852/5000][295/535][87790] Loss_D: -0.022987 Loss_G: 0.017902 Loss_D_real: -0.026597 Loss_D_fake -0.003610
[852/5000][300/535][87791] Loss_D: -0.021959 Loss_G: 0.031555 Loss_D_real: -0.033945 Loss_D_fake -0.011986
[852/5000][305/535][87792] Loss_D: -0.021021 Loss_G: 0.010603 Loss_D_real: -0.017278 Loss_D_fake 0.003742
[852/5000][310/535][87793] Loss_D: -0.021218 Loss_G: 0.012339 Loss_D_real: -0.017512 Loss_D_fake 0.003706
[852/5000][315/535][87794] Loss_D: -0.023033 Loss_G: 0.006909 Loss_D_real: -0.023348 Loss_D_fake -0.000315
[852/5000][320/535][87795] Loss_D: -0.023115 Loss_G: -0.011305 Loss_D_real: -0.014906 Loss_D_fake 0.008208
[852/5000][325/535][87796] Loss_D: -0.022022 Loss_G: 0.026242 Loss_D_real: -0.032455 Loss_D_fake -0.010433
[852/5000][330/535][87797] Loss_D: -0.023013 Loss_G: -0.005039 Loss_D_real: -0.008866 Loss_D_fake 0.014148
[852/5000][335/535][87798] Loss_D: -0.023809 Loss_G: 0.000910 Loss_D_real: -0.015155 Loss_D_fake 0.008653
[852/5000][340/535][87799] Loss_D: -0.023953 Loss_G: 0.009110 Loss_D_real: -0.011457 Loss_D_fake 0.012496
[852/5000][345/535][87800] Loss_D: -0.023352 Loss_G: 0.002504 Loss_D_real: -0.007080 Loss_D_fake 0.016272
[852/5000][350/535][87801] Loss_D: -0.022876 Loss_G: 0.005566 Loss_D_real: -0.029736 Loss_D_fake -0.006859
[852/5000][355/535][87802] Loss_D: -0.022360 Loss_G: -0.010975 Loss_D_real: -0.010820 Loss_D_fake 0.011540
[852/5000][360/535][87803] Loss_D: -0.022863 Loss_G: 0.017645 Loss_D_real: -0.023375 Loss_D_fake -0.000512
[852/5000][365/535][87804] Loss_D: -0.023527 Loss_G: 0.013646 Loss_D_real: -0.017496 Loss_D_fake 0.006031
[852/5000][370/535][87805] Loss_D: -0.023255 Loss_G: -0.000574 Loss_D_real: -0.015910 Loss_D_fake 0.007346
[852/5000][375/535][87806] Loss_D: -0.022622 Loss_G: -0.005971 Loss_D_real: -0.009174 Loss_D_fake 0.013448
[852/5000][380/535][87807] Loss_D: -0.023244 Loss_G: 0.001596 Loss_D_real: -0.015744 Loss_D_fake 0.007499
[852/5000][385/535][87808] Loss_D: -0.022621 Loss_G: 0.014082 Loss_D_real: -0.025116 Loss_D_fake -0.002495
[852/5000][390/535][87809] Loss_D: -0.022828 Loss_G: -0.005607 Loss_D_real: -0.002127 Loss_D_fake 0.020702
[852/5000][395/535][87810] Loss_D: -0.022452 Loss_G: -0.004511 Loss_D_real: -0.010816 Loss_D_fake 0.011636
[852/5000][400/535][87811] Loss_D: -0.022906 Loss_G: 0.015766 Loss_D_real: -0.026196 Loss_D_fake -0.003289
[852/5000][405/535][87812] Loss_D: -0.022748 Loss_G: -0.008815 Loss_D_real: -0.000917 Loss_D_fake 0.021831
[852/5000][410/535][87813] Loss_D: -0.023169 Loss_G: 0.010907 Loss_D_real: -0.030050 Loss_D_fake -0.006881
[852/5000][415/535][87814] Loss_D: -0.024101 Loss_G: 0.011355 Loss_D_real: -0.019967 Loss_D_fake 0.004134
[852/5000][420/535][87815] Loss_D: -0.023869 Loss_G: -0.000978 Loss_D_real: -0.009119 Loss_D_fake 0.014750
[852/5000][425/535][87816] Loss_D: -0.022606 Loss_G: 0.022224 Loss_D_real: -0.032987 Loss_D_fake -0.010381
[852/5000][430/535][87817] Loss_D: -0.023221 Loss_G: 0.020292 Loss_D_real: -0.027467 Loss_D_fake -0.004245
[852/5000][435/535][87818] Loss_D: -0.021511 Loss_G: 0.022623 Loss_D_real: -0.030452 Loss_D_fake -0.008941
[852/5000][440/535][87819] Loss_D: -0.024516 Loss_G: 0.007555 Loss_D_real: -0.015122 Loss_D_fake 0.009393
[852/5000][445/535][87820] Loss_D: -0.023777 Loss_G: -0.003870 Loss_D_real: -0.010280 Loss_D_fake 0.013498
[852/5000][450/535][87821] Loss_D: -0.022801 Loss_G: 0.021584 Loss_D_real: -0.029964 Loss_D_fake -0.007163
[852/5000][455/535][87822] Loss_D: -0.024177 Loss_G: 0.003784 Loss_D_real: -0.009615 Loss_D_fake 0.014562
[852/5000][460/535][87823] Loss_D: -0.022894 Loss_G: -0.001915 Loss_D_real: -0.022998 Loss_D_fake -0.000104
[852/5000][465/535][87824] Loss_D: -0.023032 Loss_G: 0.026187 Loss_D_real: -0.028047 Loss_D_fake -0.005015
[852/5000][470/535][87825] Loss_D: -0.024070 Loss_G: 0.004175 Loss_D_real: -0.018082 Loss_D_fake 0.005989
[852/5000][475/535][87826] Loss_D: -0.023469 Loss_G: -0.012686 Loss_D_real: -0.003592 Loss_D_fake 0.019877
[852/5000][480/535][87827] Loss_D: -0.022667 Loss_G: 0.008925 Loss_D_real: -0.022373 Loss_D_fake 0.000294
[852/5000][485/535][87828] Loss_D: -0.021289 Loss_G: -0.001218 Loss_D_real: -0.014277 Loss_D_fake 0.007013
[852/5000][490/535][87829] Loss_D: -0.020941 Loss_G: -0.002891 Loss_D_real: -0.019204 Loss_D_fake 0.001737
[852/5000][495/535][87830] Loss_D: -0.023103 Loss_G: -0.003302 Loss_D_real: -0.012380 Loss_D_fake 0.010723
[852/5000][500/535][87831] Loss_D: -0.022646 Loss_G: 0.008122 Loss_D_real: -0.017680 Loss_D_fake 0.004966
[852/5000][505/535][87832] Loss_D: -0.023379 Loss_G: 0.004892 Loss_D_real: -0.024911 Loss_D_fake -0.001531
[852/5000][510/535][87833] Loss_D: -0.023652 Loss_G: 0.006389 Loss_D_real: -0.024434 Loss_D_fake -0.000781
[852/5000][515/535][87834] Loss_D: -0.023522 Loss_G: 0.023943 Loss_D_real: -0.016801 Loss_D_fake 0.006722
[852/5000][520/535][87835] Loss_D: -0.022367 Loss_G: -0.010936 Loss_D_real: -0.008364 Loss_D_fake 0.014004
[852/5000][525/535][87836] Loss_D: -0.022472 Loss_G: 0.014420 Loss_D_real: -0.016196 Loss_D_fake 0.006276
[852/5000][530/535][87837] Loss_D: -0.022658 Loss_G: 0.010947 Loss_D_real: -0.017266 Loss_D_fake 0.005392
[852/5000][535/535][87838] Loss_D: -0.023546 Loss_G: -0.007361 Loss_D_real: -0.021024 Loss_D_fake 0.002522
[853/5000][5/535][87839] Loss_D: -0.023450 Loss_G: 0.012487 Loss_D_real: -0.023789 Loss_D_fake -0.000339
[853/5000][10/535][87840] Loss_D: -0.022499 Loss_G: -0.000724 Loss_D_real: -0.014519 Loss_D_fake 0.007980
[853/5000][15/535][87841] Loss_D: -0.022602 Loss_G: -0.001728 Loss_D_real: -0.013360 Loss_D_fake 0.009242
[853/5000][20/535][87842] Loss_D: -0.022652 Loss_G: 0.025236 Loss_D_real: -0.025094 Loss_D_fake -0.002442
[853/5000][25/535][87843] Loss_D: -0.023327 Loss_G: 0.010125 Loss_D_real: -0.022936 Loss_D_fake 0.000391
[853/5000][30/535][87844] Loss_D: -0.023025 Loss_G: -0.000026 Loss_D_real: -0.009533 Loss_D_fake 0.013492
[853/5000][35/535][87845] Loss_D: -0.023121 Loss_G: 0.009378 Loss_D_real: -0.020402 Loss_D_fake 0.002719
[853/5000][40/535][87846] Loss_D: -0.024211 Loss_G: 0.010498 Loss_D_real: -0.021172 Loss_D_fake 0.003039
[853/5000][45/535][87847] Loss_D: -0.022554 Loss_G: 0.021289 Loss_D_real: -0.030634 Loss_D_fake -0.008079
[853/5000][50/535][87848] Loss_D: -0.022798 Loss_G: -0.008820 Loss_D_real: -0.015123 Loss_D_fake 0.007675
[853/5000][55/535][87849] Loss_D: -0.022505 Loss_G: 0.012069 Loss_D_real: -0.019249 Loss_D_fake 0.003256
[853/5000][60/535][87850] Loss_D: -0.022718 Loss_G: 0.016478 Loss_D_real: -0.026225 Loss_D_fake -0.003507
[853/5000][65/535][87851] Loss_D: -0.023758 Loss_G: 0.015267 Loss_D_real: -0.026255 Loss_D_fake -0.002497
[853/5000][70/535][87852] Loss_D: -0.022682 Loss_G: 0.009877 Loss_D_real: -0.030236 Loss_D_fake -0.007555
[853/5000][75/535][87853] Loss_D: -0.022122 Loss_G: 0.007536 Loss_D_real: -0.014472 Loss_D_fake 0.007651
[853/5000][80/535][87854] Loss_D: -0.022348 Loss_G: -0.010017 Loss_D_real: -0.011340 Loss_D_fake 0.011008
[853/5000][85/535][87855] Loss_D: -0.023256 Loss_G: 0.012931 Loss_D_real: -0.024785 Loss_D_fake -0.001530
[853/5000][90/535][87856] Loss_D: -0.022414 Loss_G: 0.027653 Loss_D_real: -0.026512 Loss_D_fake -0.004098
[853/5000][95/535][87857] Loss_D: -0.022031 Loss_G: -0.003677 Loss_D_real: 0.001126 Loss_D_fake 0.023157
[853/5000][100/535][87858] Loss_D: -0.022490 Loss_G: -0.005424 Loss_D_real: -0.018633 Loss_D_fake 0.003857
[853/5000][105/535][87859] Loss_D: -0.022791 Loss_G: 0.007899 Loss_D_real: -0.014166 Loss_D_fake 0.008625
[853/5000][110/535][87860] Loss_D: -0.023332 Loss_G: 0.011807 Loss_D_real: -0.011869 Loss_D_fake 0.011464
[853/5000][115/535][87861] Loss_D: -0.021633 Loss_G: 0.002120 Loss_D_real: -0.015650 Loss_D_fake 0.005983
[853/5000][120/535][87862] Loss_D: -0.022446 Loss_G: -0.016457 Loss_D_real: -0.005427 Loss_D_fake 0.017019
[853/5000][125/535][87863] Loss_D: -0.020688 Loss_G: 0.007005 Loss_D_real: -0.012647 Loss_D_fake 0.008041
[853/5000][130/535][87864] Loss_D: -0.023584 Loss_G: 0.003924 Loss_D_real: -0.024020 Loss_D_fake -0.000437
[853/5000][135/535][87865] Loss_D: -0.021933 Loss_G: 0.012097 Loss_D_real: -0.027523 Loss_D_fake -0.005590
[853/5000][140/535][87866] Loss_D: -0.023795 Loss_G: 0.013359 Loss_D_real: -0.021406 Loss_D_fake 0.002389
[853/5000][145/535][87867] Loss_D: -0.023419 Loss_G: 0.012199 Loss_D_real: -0.022464 Loss_D_fake 0.000955
[853/5000][150/535][87868] Loss_D: -0.023126 Loss_G: 0.006147 Loss_D_real: -0.022770 Loss_D_fake 0.000356
[853/5000][155/535][87869] Loss_D: -0.023376 Loss_G: 0.015830 Loss_D_real: -0.029216 Loss_D_fake -0.005840
[853/5000][160/535][87870] Loss_D: -0.024524 Loss_G: -0.004956 Loss_D_real: -0.009456 Loss_D_fake 0.015068
[853/5000][165/535][87871] Loss_D: -0.023063 Loss_G: 0.012181 Loss_D_real: -0.035490 Loss_D_fake -0.012427
[853/5000][170/535][87872] Loss_D: -0.022271 Loss_G: -0.008632 Loss_D_real: -0.013141 Loss_D_fake 0.009131
[853/5000][175/535][87873] Loss_D: -0.022953 Loss_G: 0.000040 Loss_D_real: -0.004469 Loss_D_fake 0.018483
[853/5000][180/535][87874] Loss_D: -0.021598 Loss_G: 0.022769 Loss_D_real: -0.035524 Loss_D_fake -0.013925
[853/5000][185/535][87875] Loss_D: -0.022880 Loss_G: 0.002164 Loss_D_real: -0.012589 Loss_D_fake 0.010290
[853/5000][190/535][87876] Loss_D: -0.022656 Loss_G: -0.001285 Loss_D_real: -0.010936 Loss_D_fake 0.011720
[853/5000][195/535][87877] Loss_D: -0.023230 Loss_G: 0.006895 Loss_D_real: -0.015407 Loss_D_fake 0.007824
[853/5000][200/535][87878] Loss_D: -0.022980 Loss_G: 0.004170 Loss_D_real: -0.017961 Loss_D_fake 0.005018
[853/5000][205/535][87879] Loss_D: -0.022890 Loss_G: 0.017343 Loss_D_real: -0.039855 Loss_D_fake -0.016964
[853/5000][210/535][87880] Loss_D: -0.023601 Loss_G: 0.009413 Loss_D_real: -0.023029 Loss_D_fake 0.000572
[853/5000][215/535][87881] Loss_D: -0.023693 Loss_G: 0.020698 Loss_D_real: -0.026275 Loss_D_fake -0.002582
[853/5000][220/535][87882] Loss_D: -0.023807 Loss_G: 0.002490 Loss_D_real: -0.009049 Loss_D_fake 0.014758
[853/5000][225/535][87883] Loss_D: -0.022342 Loss_G: 0.012327 Loss_D_real: -0.026290 Loss_D_fake -0.003948
[853/5000][230/535][87884] Loss_D: -0.022269 Loss_G: 0.023973 Loss_D_real: -0.027530 Loss_D_fake -0.005261
[853/5000][235/535][87885] Loss_D: -0.023032 Loss_G: 0.003135 Loss_D_real: -0.020388 Loss_D_fake 0.002644
[853/5000][240/535][87886] Loss_D: -0.023784 Loss_G: 0.001298 Loss_D_real: -0.010547 Loss_D_fake 0.013237
[853/5000][245/535][87887] Loss_D: -0.024124 Loss_G: 0.023901 Loss_D_real: -0.022345 Loss_D_fake 0.001779
[853/5000][250/535][87888] Loss_D: -0.023281 Loss_G: -0.003465 Loss_D_real: -0.012445 Loss_D_fake 0.010836
[853/5000][255/535][87889] Loss_D: -0.022168 Loss_G: 0.009670 Loss_D_real: -0.014489 Loss_D_fake 0.007679
[853/5000][260/535][87890] Loss_D: -0.022694 Loss_G: -0.002428 Loss_D_real: -0.015344 Loss_D_fake 0.007350
[853/5000][265/535][87891] Loss_D: -0.022857 Loss_G: 0.013872 Loss_D_real: -0.016882 Loss_D_fake 0.005976
[853/5000][270/535][87892] Loss_D: -0.022609 Loss_G: 0.015215 Loss_D_real: -0.025779 Loss_D_fake -0.003169
[853/5000][275/535][87893] Loss_D: -0.023250 Loss_G: 0.016426 Loss_D_real: -0.015938 Loss_D_fake 0.007313
[853/5000][280/535][87894] Loss_D: -0.023270 Loss_G: 0.009244 Loss_D_real: -0.021239 Loss_D_fake 0.002031
[853/5000][285/535][87895] Loss_D: -0.022271 Loss_G: 0.013940 Loss_D_real: -0.015649 Loss_D_fake 0.006621
[853/5000][290/535][87896] Loss_D: -0.022906 Loss_G: 0.005552 Loss_D_real: -0.009162 Loss_D_fake 0.013744
[853/5000][295/535][87897] Loss_D: -0.023007 Loss_G: 0.014874 Loss_D_real: -0.037744 Loss_D_fake -0.014736
[853/5000][300/535][87898] Loss_D: -0.022813 Loss_G: -0.000171 Loss_D_real: -0.020325 Loss_D_fake 0.002487
[853/5000][305/535][87899] Loss_D: -0.021735 Loss_G: 0.010117 Loss_D_real: -0.014639 Loss_D_fake 0.007096
[853/5000][310/535][87900] Loss_D: -0.023613 Loss_G: -0.004742 Loss_D_real: -0.006215 Loss_D_fake 0.017399
[853/5000][315/535][87901] Loss_D: -0.021693 Loss_G: 0.018636 Loss_D_real: -0.031443 Loss_D_fake -0.009750
[853/5000][320/535][87902] Loss_D: -0.022080 Loss_G: 0.007515 Loss_D_real: -0.015654 Loss_D_fake 0.006426
[853/5000][325/535][87903] Loss_D: -0.022365 Loss_G: 0.013448 Loss_D_real: -0.028226 Loss_D_fake -0.005860
[853/5000][330/535][87904] Loss_D: -0.022988 Loss_G: 0.005611 Loss_D_real: -0.015349 Loss_D_fake 0.007638
[853/5000][335/535][87905] Loss_D: -0.022627 Loss_G: 0.016197 Loss_D_real: -0.026310 Loss_D_fake -0.003683
[853/5000][340/535][87906] Loss_D: -0.022980 Loss_G: -0.009589 Loss_D_real: -0.006927 Loss_D_fake 0.016053
[853/5000][345/535][87907] Loss_D: -0.022941 Loss_G: 0.014933 Loss_D_real: -0.025754 Loss_D_fake -0.002813
[853/5000][350/535][87908] Loss_D: -0.022000 Loss_G: 0.018052 Loss_D_real: -0.017834 Loss_D_fake 0.004165
[853/5000][355/535][87909] Loss_D: -0.023822 Loss_G: 0.012244 Loss_D_real: -0.009406 Loss_D_fake 0.014416
[853/5000][360/535][87910] Loss_D: -0.024534 Loss_G: 0.006686 Loss_D_real: -0.017671 Loss_D_fake 0.006863
[853/5000][365/535][87911] Loss_D: -0.023233 Loss_G: 0.028642 Loss_D_real: -0.034646 Loss_D_fake -0.011413
[853/5000][370/535][87912] Loss_D: -0.023463 Loss_G: 0.007153 Loss_D_real: -0.017594 Loss_D_fake 0.005868
[853/5000][375/535][87913] Loss_D: -0.024264 Loss_G: 0.020760 Loss_D_real: -0.033668 Loss_D_fake -0.009404
[853/5000][380/535][87914] Loss_D: -0.023332 Loss_G: 0.016454 Loss_D_real: -0.025637 Loss_D_fake -0.002305
[853/5000][385/535][87915] Loss_D: -0.023194 Loss_G: 0.012106 Loss_D_real: -0.012027 Loss_D_fake 0.011167
[853/5000][390/535][87916] Loss_D: -0.021620 Loss_G: -0.014118 Loss_D_real: -0.014362 Loss_D_fake 0.007258
[853/5000][395/535][87917] Loss_D: -0.022793 Loss_G: 0.015738 Loss_D_real: -0.025857 Loss_D_fake -0.003064
[853/5000][400/535][87918] Loss_D: -0.022460 Loss_G: -0.010532 Loss_D_real: -0.000021 Loss_D_fake 0.022439
[853/5000][405/535][87919] Loss_D: -0.021770 Loss_G: 0.020128 Loss_D_real: -0.022530 Loss_D_fake -0.000760
[853/5000][410/535][87920] Loss_D: -0.021969 Loss_G: -0.011823 Loss_D_real: -0.009213 Loss_D_fake 0.012756
[853/5000][415/535][87921] Loss_D: -0.022737 Loss_G: 0.008473 Loss_D_real: -0.022842 Loss_D_fake -0.000105
[853/5000][420/535][87922] Loss_D: -0.021593 Loss_G: 0.017794 Loss_D_real: -0.016835 Loss_D_fake 0.004757
[853/5000][425/535][87923] Loss_D: -0.022653 Loss_G: -0.011534 Loss_D_real: -0.004888 Loss_D_fake 0.017764
[853/5000][430/535][87924] Loss_D: -0.022190 Loss_G: 0.014046 Loss_D_real: -0.021999 Loss_D_fake 0.000191
[853/5000][435/535][87925] Loss_D: -0.022920 Loss_G: 0.016264 Loss_D_real: -0.021025 Loss_D_fake 0.001895
[853/5000][440/535][87926] Loss_D: -0.022170 Loss_G: 0.019812 Loss_D_real: -0.036881 Loss_D_fake -0.014711
[853/5000][445/535][87927] Loss_D: -0.022443 Loss_G: -0.003913 Loss_D_real: -0.013451 Loss_D_fake 0.008992
[853/5000][450/535][87928] Loss_D: -0.022325 Loss_G: 0.023201 Loss_D_real: -0.029676 Loss_D_fake -0.007351
[853/5000][455/535][87929] Loss_D: -0.021888 Loss_G: 0.006809 Loss_D_real: -0.010643 Loss_D_fake 0.011245
[853/5000][460/535][87930] Loss_D: -0.022784 Loss_G: 0.003869 Loss_D_real: -0.015527 Loss_D_fake 0.007257
[853/5000][465/535][87931] Loss_D: -0.023366 Loss_G: 0.006343 Loss_D_real: -0.019728 Loss_D_fake 0.003637
[853/5000][470/535][87932] Loss_D: -0.023122 Loss_G: 0.006702 Loss_D_real: -0.012812 Loss_D_fake 0.010310
[853/5000][475/535][87933] Loss_D: -0.022213 Loss_G: 0.023915 Loss_D_real: -0.026715 Loss_D_fake -0.004502
[853/5000][480/535][87934] Loss_D: -0.023472 Loss_G: -0.001819 Loss_D_real: -0.015756 Loss_D_fake 0.007716
[853/5000][485/535][87935] Loss_D: -0.022716 Loss_G: 0.020054 Loss_D_real: -0.025906 Loss_D_fake -0.003189
[853/5000][490/535][87936] Loss_D: -0.022219 Loss_G: 0.002444 Loss_D_real: -0.000125 Loss_D_fake 0.022094
[853/5000][495/535][87937] Loss_D: -0.022343 Loss_G: 0.015560 Loss_D_real: -0.016810 Loss_D_fake 0.005534
[853/5000][500/535][87938] Loss_D: -0.023325 Loss_G: 0.007400 Loss_D_real: -0.017403 Loss_D_fake 0.005922
[853/5000][505/535][87939] Loss_D: -0.022832 Loss_G: 0.031615 Loss_D_real: -0.024405 Loss_D_fake -0.001574
[853/5000][510/535][87940] Loss_D: -0.022612 Loss_G: -0.006724 Loss_D_real: -0.010750 Loss_D_fake 0.011863
[853/5000][515/535][87941] Loss_D: -0.021635 Loss_G: 0.014480 Loss_D_real: -0.029276 Loss_D_fake -0.007641
[853/5000][520/535][87942] Loss_D: -0.024145 Loss_G: 0.012569 Loss_D_real: -0.022659 Loss_D_fake 0.001486
[853/5000][525/535][87943] Loss_D: -0.023866 Loss_G: 0.010146 Loss_D_real: -0.012603 Loss_D_fake 0.011263
[853/5000][530/535][87944] Loss_D: -0.023139 Loss_G: 0.017240 Loss_D_real: -0.024535 Loss_D_fake -0.001396
[853/5000][535/535][87945] Loss_D: -0.025434 Loss_G: 0.019038 Loss_D_real: -0.006815 Loss_D_fake 0.018619
[854/5000][5/535][87946] Loss_D: -0.022945 Loss_G: -0.010474 Loss_D_real: -0.011539 Loss_D_fake 0.011406
[854/5000][10/535][87947] Loss_D: -0.023202 Loss_G: 0.003281 Loss_D_real: -0.010443 Loss_D_fake 0.012759
[854/5000][15/535][87948] Loss_D: -0.022129 Loss_G: 0.006082 Loss_D_real: -0.023833 Loss_D_fake -0.001703
[854/5000][20/535][87949] Loss_D: -0.023077 Loss_G: -0.000414 Loss_D_real: -0.010561 Loss_D_fake 0.012516
[854/5000][25/535][87950] Loss_D: -0.022509 Loss_G: 0.013826 Loss_D_real: -0.018928 Loss_D_fake 0.003581
[854/5000][30/535][87951] Loss_D: -0.021514 Loss_G: 0.007300 Loss_D_real: -0.028462 Loss_D_fake -0.006947
[854/5000][35/535][87952] Loss_D: -0.022972 Loss_G: 0.020280 Loss_D_real: -0.023764 Loss_D_fake -0.000792
[854/5000][40/535][87953] Loss_D: -0.022554 Loss_G: 0.000306 Loss_D_real: -0.006719 Loss_D_fake 0.015835
[854/5000][45/535][87954] Loss_D: -0.022682 Loss_G: -0.003221 Loss_D_real: -0.023584 Loss_D_fake -0.000902
[854/5000][50/535][87955] Loss_D: -0.023286 Loss_G: 0.008909 Loss_D_real: -0.017684 Loss_D_fake 0.005602
[854/5000][55/535][87956] Loss_D: -0.021743 Loss_G: 0.014511 Loss_D_real: -0.030670 Loss_D_fake -0.008926
[854/5000][60/535][87957] Loss_D: -0.022099 Loss_G: 0.003567 Loss_D_real: -0.019225 Loss_D_fake 0.002873
[854/5000][65/535][87958] Loss_D: -0.023465 Loss_G: -0.007714 Loss_D_real: -0.008694 Loss_D_fake 0.014771
[854/5000][70/535][87959] Loss_D: -0.022256 Loss_G: 0.007165 Loss_D_real: -0.013594 Loss_D_fake 0.008662
[854/5000][75/535][87960] Loss_D: -0.024735 Loss_G: -0.002889 Loss_D_real: -0.004358 Loss_D_fake 0.020377
[854/5000][80/535][87961] Loss_D: -0.021656 Loss_G: 0.010754 Loss_D_real: -0.013945 Loss_D_fake 0.007711
[854/5000][85/535][87962] Loss_D: -0.023566 Loss_G: -0.009394 Loss_D_real: -0.012498 Loss_D_fake 0.011068
[854/5000][90/535][87963] Loss_D: -0.023155 Loss_G: 0.016704 Loss_D_real: -0.034066 Loss_D_fake -0.010912
[854/5000][95/535][87964] Loss_D: -0.023426 Loss_G: 0.000681 Loss_D_real: -0.008757 Loss_D_fake 0.014669
[854/5000][100/535][87965] Loss_D: -0.021884 Loss_G: 0.019582 Loss_D_real: -0.020557 Loss_D_fake 0.001326
[854/5000][105/535][87966] Loss_D: -0.023723 Loss_G: 0.000385 Loss_D_real: -0.004919 Loss_D_fake 0.018804
[854/5000][110/535][87967] Loss_D: -0.023166 Loss_G: -0.007272 Loss_D_real: -0.004344 Loss_D_fake 0.018822
[854/5000][115/535][87968] Loss_D: -0.023694 Loss_G: 0.038131 Loss_D_real: -0.028072 Loss_D_fake -0.004378
[854/5000][120/535][87969] Loss_D: -0.023081 Loss_G: 0.003322 Loss_D_real: -0.019384 Loss_D_fake 0.003698
[854/5000][125/535][87970] Loss_D: -0.023029 Loss_G: 0.019813 Loss_D_real: -0.030662 Loss_D_fake -0.007633
[854/5000][130/535][87971] Loss_D: -0.023640 Loss_G: 0.011433 Loss_D_real: -0.018770 Loss_D_fake 0.004870
[854/5000][135/535][87972] Loss_D: -0.022617 Loss_G: 0.011650 Loss_D_real: -0.028897 Loss_D_fake -0.006280
[854/5000][140/535][87973] Loss_D: -0.023530 Loss_G: 0.018521 Loss_D_real: -0.034151 Loss_D_fake -0.010621
[854/5000][145/535][87974] Loss_D: -0.024048 Loss_G: -0.005665 Loss_D_real: -0.006463 Loss_D_fake 0.017585
[854/5000][150/535][87975] Loss_D: -0.023148 Loss_G: -0.001391 Loss_D_real: -0.014956 Loss_D_fake 0.008191
[854/5000][155/535][87976] Loss_D: -0.022888 Loss_G: 0.008649 Loss_D_real: -0.010931 Loss_D_fake 0.011957
[854/5000][160/535][87977] Loss_D: -0.022392 Loss_G: 0.015967 Loss_D_real: -0.025655 Loss_D_fake -0.003264
[854/5000][165/535][87978] Loss_D: -0.023030 Loss_G: 0.007903 Loss_D_real: -0.007610 Loss_D_fake 0.015420
[854/5000][170/535][87979] Loss_D: -0.022436 Loss_G: 0.002974 Loss_D_real: -0.009565 Loss_D_fake 0.012870
[854/5000][175/535][87980] Loss_D: -0.023349 Loss_G: 0.014267 Loss_D_real: -0.021962 Loss_D_fake 0.001386
[854/5000][180/535][87981] Loss_D: -0.022343 Loss_G: 0.008626 Loss_D_real: -0.017059 Loss_D_fake 0.005284
[854/5000][185/535][87982] Loss_D: -0.022813 Loss_G: 0.016311 Loss_D_real: -0.032099 Loss_D_fake -0.009287
[854/5000][190/535][87983] Loss_D: -0.023254 Loss_G: -0.008063 Loss_D_real: -0.015747 Loss_D_fake 0.007507
[854/5000][195/535][87984] Loss_D: -0.021956 Loss_G: 0.022615 Loss_D_real: -0.026023 Loss_D_fake -0.004068
[854/5000][200/535][87985] Loss_D: -0.022904 Loss_G: 0.003905 Loss_D_real: -0.016827 Loss_D_fake 0.006077
[854/5000][205/535][87986] Loss_D: -0.023467 Loss_G: -0.000100 Loss_D_real: -0.014174 Loss_D_fake 0.009293
[854/5000][210/535][87987] Loss_D: -0.022562 Loss_G: 0.011471 Loss_D_real: -0.017973 Loss_D_fake 0.004589
[854/5000][215/535][87988] Loss_D: -0.023691 Loss_G: 0.016019 Loss_D_real: -0.022177 Loss_D_fake 0.001514
[854/5000][220/535][87989] Loss_D: -0.022414 Loss_G: 0.008674 Loss_D_real: -0.016618 Loss_D_fake 0.005796
[854/5000][225/535][87990] Loss_D: -0.023310 Loss_G: 0.013566 Loss_D_real: -0.022809 Loss_D_fake 0.000501
[854/5000][230/535][87991] Loss_D: -0.022038 Loss_G: 0.028453 Loss_D_real: -0.028811 Loss_D_fake -0.006773
[854/5000][235/535][87992] Loss_D: -0.021766 Loss_G: 0.017836 Loss_D_real: -0.020874 Loss_D_fake 0.000893
[854/5000][240/535][87993] Loss_D: -0.021760 Loss_G: 0.019547 Loss_D_real: -0.031693 Loss_D_fake -0.009933
[854/5000][245/535][87994] Loss_D: -0.022477 Loss_G: 0.007479 Loss_D_real: -0.022857 Loss_D_fake -0.000380
[854/5000][250/535][87995] Loss_D: -0.021212 Loss_G: 0.020205 Loss_D_real: -0.038344 Loss_D_fake -0.017132
[854/5000][255/535][87996] Loss_D: -0.023052 Loss_G: 0.026377 Loss_D_real: -0.032383 Loss_D_fake -0.009331
[854/5000][260/535][87997] Loss_D: -0.021598 Loss_G: 0.009226 Loss_D_real: -0.013605 Loss_D_fake 0.007993
[854/5000][265/535][87998] Loss_D: -0.023342 Loss_G: 0.007803 Loss_D_real: -0.018535 Loss_D_fake 0.004807
[854/5000][270/535][87999] Loss_D: -0.023144 Loss_G: -0.014833 Loss_D_real: -0.002737 Loss_D_fake 0.020407
[854/5000][275/535][88000] Loss_D: -0.023282 Loss_G: 0.021379 Loss_D_real: -0.020723 Loss_D_fake 0.002559
[854/5000][375/535][88001] Loss_D: -0.027366 Loss_G: -0.000802 Loss_D_real: -0.010000 Loss_D_fake 0.017366
[854/5000][380/535][88002] Loss_D: -0.024902 Loss_G: 0.014845 Loss_D_real: -0.023346 Loss_D_fake 0.001556
[854/5000][385/535][88003] Loss_D: -0.022730 Loss_G: -0.005248 Loss_D_real: -0.009397 Loss_D_fake 0.013332
[854/5000][390/535][88004] Loss_D: -0.019942 Loss_G: 0.010567 Loss_D_real: -0.007562 Loss_D_fake 0.012380
[854/5000][395/535][88005] Loss_D: -0.021825 Loss_G: 0.003922 Loss_D_real: -0.018018 Loss_D_fake 0.003807
[854/5000][400/535][88006] Loss_D: -0.022538 Loss_G: 0.007518 Loss_D_real: -0.015958 Loss_D_fake 0.006580
[854/5000][405/535][88007] Loss_D: -0.020520 Loss_G: -0.003990 Loss_D_real: -0.008787 Loss_D_fake 0.011733
[854/5000][410/535][88008] Loss_D: -0.022240 Loss_G: 0.006958 Loss_D_real: -0.005881 Loss_D_fake 0.016358
[854/5000][415/535][88009] Loss_D: -0.019729 Loss_G: 0.006012 Loss_D_real: -0.017642 Loss_D_fake 0.002087
[854/5000][420/535][88010] Loss_D: -0.022315 Loss_G: 0.002719 Loss_D_real: -0.016569 Loss_D_fake 0.005746
[854/5000][425/535][88011] Loss_D: -0.021322 Loss_G: 0.016862 Loss_D_real: -0.031963 Loss_D_fake -0.010640
[854/5000][430/535][88012] Loss_D: -0.022221 Loss_G: 0.003648 Loss_D_real: -0.009843 Loss_D_fake 0.012378
[854/5000][435/535][88013] Loss_D: -0.022156 Loss_G: 0.024428 Loss_D_real: -0.026708 Loss_D_fake -0.004551
[854/5000][440/535][88014] Loss_D: -0.023178 Loss_G: 0.004727 Loss_D_real: -0.020060 Loss_D_fake 0.003118
[854/5000][445/535][88015] Loss_D: -0.021857 Loss_G: 0.006057 Loss_D_real: -0.021122 Loss_D_fake 0.000736
[854/5000][450/535][88016] Loss_D: -0.022591 Loss_G: -0.011405 Loss_D_real: -0.010601 Loss_D_fake 0.011990
[854/5000][455/535][88017] Loss_D: -0.021556 Loss_G: 0.018684 Loss_D_real: -0.031032 Loss_D_fake -0.009476
[854/5000][460/535][88018] Loss_D: -0.022496 Loss_G: -0.005863 Loss_D_real: -0.006616 Loss_D_fake 0.015880
[854/5000][465/535][88019] Loss_D: -0.021758 Loss_G: 0.019196 Loss_D_real: -0.020306 Loss_D_fake 0.001452
[854/5000][470/535][88020] Loss_D: -0.022235 Loss_G: 0.018840 Loss_D_real: -0.025877 Loss_D_fake -0.003642
[854/5000][475/535][88021] Loss_D: -0.023387 Loss_G: 0.014294 Loss_D_real: -0.016425 Loss_D_fake 0.006962
[854/5000][480/535][88022] Loss_D: -0.022894 Loss_G: 0.005104 Loss_D_real: -0.024914 Loss_D_fake -0.002020
[854/5000][485/535][88023] Loss_D: -0.023629 Loss_G: -0.001553 Loss_D_real: 0.000519 Loss_D_fake 0.024147
[854/5000][490/535][88024] Loss_D: -0.023104 Loss_G: 0.018836 Loss_D_real: -0.020885 Loss_D_fake 0.002218
[854/5000][495/535][88025] Loss_D: -0.022076 Loss_G: -0.001468 Loss_D_real: -0.006720 Loss_D_fake 0.015356
[854/5000][500/535][88026] Loss_D: -0.021607 Loss_G: 0.000069 Loss_D_real: -0.013308 Loss_D_fake 0.008299
[854/5000][505/535][88027] Loss_D: -0.019900 Loss_G: 0.019739 Loss_D_real: -0.029455 Loss_D_fake -0.009555
[854/5000][510/535][88028] Loss_D: -0.023549 Loss_G: -0.000162 Loss_D_real: -0.009013 Loss_D_fake 0.014536
[854/5000][515/535][88029] Loss_D: -0.022296 Loss_G: 0.004561 Loss_D_real: -0.012939 Loss_D_fake 0.009357
[854/5000][520/535][88030] Loss_D: -0.022190 Loss_G: 0.020059 Loss_D_real: -0.018442 Loss_D_fake 0.003748
[854/5000][525/535][88031] Loss_D: -0.022486 Loss_G: 0.007260 Loss_D_real: -0.016923 Loss_D_fake 0.005563
[854/5000][530/535][88032] Loss_D: -0.022115 Loss_G: 0.021444 Loss_D_real: -0.019601 Loss_D_fake 0.002515
[854/5000][535/535][88033] Loss_D: -0.023959 Loss_G: 0.009232 Loss_D_real: -0.020968 Loss_D_fake 0.002990
[855/5000][5/535][88034] Loss_D: -0.020959 Loss_G: -0.009293 Loss_D_real: 0.001108 Loss_D_fake 0.022067
[855/5000][10/535][88035] Loss_D: -0.022739 Loss_G: 0.008757 Loss_D_real: -0.026135 Loss_D_fake -0.003396
[855/5000][15/535][88036] Loss_D: -0.022827 Loss_G: 0.008055 Loss_D_real: -0.007773 Loss_D_fake 0.015054
[855/5000][20/535][88037] Loss_D: -0.022503 Loss_G: 0.009577 Loss_D_real: -0.018903 Loss_D_fake 0.003600
[855/5000][25/535][88038] Loss_D: -0.022801 Loss_G: -0.005578 Loss_D_real: -0.010755 Loss_D_fake 0.012046
[855/5000][30/535][88039] Loss_D: -0.022025 Loss_G: 0.020453 Loss_D_real: -0.031675 Loss_D_fake -0.009649
[855/5000][35/535][88040] Loss_D: -0.023084 Loss_G: -0.007321 Loss_D_real: -0.010119 Loss_D_fake 0.012964
[855/5000][40/535][88041] Loss_D: -0.023760 Loss_G: 0.011905 Loss_D_real: -0.014647 Loss_D_fake 0.009113
[855/5000][45/535][88042] Loss_D: -0.023036 Loss_G: 0.025725 Loss_D_real: -0.034225 Loss_D_fake -0.011189
[855/5000][50/535][88043] Loss_D: -0.024853 Loss_G: 0.000538 Loss_D_real: -0.006661 Loss_D_fake 0.018192
[855/5000][55/535][88044] Loss_D: -0.024801 Loss_G: 0.020849 Loss_D_real: -0.026015 Loss_D_fake -0.001214
[855/5000][60/535][88045] Loss_D: -0.023622 Loss_G: 0.007524 Loss_D_real: -0.017837 Loss_D_fake 0.005785
[855/5000][65/535][88046] Loss_D: -0.022863 Loss_G: 0.018501 Loss_D_real: -0.026099 Loss_D_fake -0.003236
[855/5000][70/535][88047] Loss_D: -0.022171 Loss_G: 0.003447 Loss_D_real: -0.011813 Loss_D_fake 0.010358
[855/5000][75/535][88048] Loss_D: -0.022933 Loss_G: -0.024682 Loss_D_real: 0.001088 Loss_D_fake 0.024021
[855/5000][80/535][88049] Loss_D: -0.023025 Loss_G: 0.000361 Loss_D_real: -0.012339 Loss_D_fake 0.010686
[855/5000][85/535][88050] Loss_D: -0.021074 Loss_G: 0.016301 Loss_D_real: -0.024901 Loss_D_fake -0.003826
[855/5000][90/535][88051] Loss_D: -0.022744 Loss_G: 0.010253 Loss_D_real: -0.010712 Loss_D_fake 0.012032
[855/5000][95/535][88052] Loss_D: -0.022197 Loss_G: 0.002415 Loss_D_real: -0.012946 Loss_D_fake 0.009251
[855/5000][100/535][88053] Loss_D: -0.022949 Loss_G: -0.010725 Loss_D_real: -0.000815 Loss_D_fake 0.022134
[855/5000][105/535][88054] Loss_D: -0.022596 Loss_G: -0.010547 Loss_D_real: -0.002151 Loss_D_fake 0.020444
[855/5000][110/535][88055] Loss_D: -0.021699 Loss_G: 0.013070 Loss_D_real: -0.019890 Loss_D_fake 0.001808
[855/5000][115/535][88056] Loss_D: -0.021300 Loss_G: 0.027453 Loss_D_real: -0.025503 Loss_D_fake -0.004203
[855/5000][120/535][88057] Loss_D: -0.024203 Loss_G: 0.023068 Loss_D_real: -0.014701 Loss_D_fake 0.009502
[855/5000][125/535][88058] Loss_D: -0.023144 Loss_G: 0.022012 Loss_D_real: -0.035996 Loss_D_fake -0.012853
[855/5000][130/535][88059] Loss_D: -0.023063 Loss_G: 0.003712 Loss_D_real: -0.012026 Loss_D_fake 0.011038
[855/5000][135/535][88060] Loss_D: -0.023427 Loss_G: -0.009721 Loss_D_real: -0.011664 Loss_D_fake 0.011762
[855/5000][140/535][88061] Loss_D: -0.022584 Loss_G: 0.003289 Loss_D_real: -0.008418 Loss_D_fake 0.014166
[855/5000][145/535][88062] Loss_D: -0.023714 Loss_G: 0.032262 Loss_D_real: -0.024095 Loss_D_fake -0.000381
[855/5000][150/535][88063] Loss_D: -0.022403 Loss_G: -0.000945 Loss_D_real: -0.024930 Loss_D_fake -0.002528
[855/5000][155/535][88064] Loss_D: -0.023136 Loss_G: 0.003953 Loss_D_real: -0.018885 Loss_D_fake 0.004251
[855/5000][160/535][88065] Loss_D: -0.022801 Loss_G: 0.006271 Loss_D_real: -0.024623 Loss_D_fake -0.001823
[855/5000][165/535][88066] Loss_D: -0.022382 Loss_G: 0.020212 Loss_D_real: -0.028175 Loss_D_fake -0.005793
[855/5000][170/535][88067] Loss_D: -0.022324 Loss_G: -0.003575 Loss_D_real: -0.004658 Loss_D_fake 0.017666
[855/5000][175/535][88068] Loss_D: -0.023558 Loss_G: 0.001516 Loss_D_real: -0.012291 Loss_D_fake 0.011266
[855/5000][180/535][88069] Loss_D: -0.022641 Loss_G: 0.003495 Loss_D_real: -0.015752 Loss_D_fake 0.006889
[855/5000][185/535][88070] Loss_D: -0.021120 Loss_G: 0.013932 Loss_D_real: -0.030047 Loss_D_fake -0.008927
[855/5000][190/535][88071] Loss_D: -0.022754 Loss_G: 0.013897 Loss_D_real: -0.019288 Loss_D_fake 0.003466
[855/5000][195/535][88072] Loss_D: -0.021861 Loss_G: -0.007459 Loss_D_real: -0.008907 Loss_D_fake 0.012954
[855/5000][200/535][88073] Loss_D: -0.023229 Loss_G: -0.007790 Loss_D_real: -0.002665 Loss_D_fake 0.020564
[855/5000][205/535][88074] Loss_D: -0.023078 Loss_G: 0.008678 Loss_D_real: -0.018906 Loss_D_fake 0.004173
[855/5000][210/535][88075] Loss_D: -0.022060 Loss_G: -0.006522 Loss_D_real: -0.009364 Loss_D_fake 0.012696
[855/5000][215/535][88076] Loss_D: -0.021688 Loss_G: 0.013339 Loss_D_real: -0.020508 Loss_D_fake 0.001181
[855/5000][220/535][88077] Loss_D: -0.023307 Loss_G: 0.018776 Loss_D_real: -0.027292 Loss_D_fake -0.003985
[855/5000][225/535][88078] Loss_D: -0.022887 Loss_G: 0.005584 Loss_D_real: -0.004314 Loss_D_fake 0.018573
[855/5000][230/535][88079] Loss_D: -0.022583 Loss_G: 0.007611 Loss_D_real: -0.021678 Loss_D_fake 0.000905
[855/5000][235/535][88080] Loss_D: -0.022846 Loss_G: -0.006032 Loss_D_real: -0.009322 Loss_D_fake 0.013523
[855/5000][240/535][88081] Loss_D: -0.021600 Loss_G: 0.012695 Loss_D_real: -0.019775 Loss_D_fake 0.001826
[855/5000][245/535][88082] Loss_D: -0.023274 Loss_G: 0.010538 Loss_D_real: -0.020959 Loss_D_fake 0.002315
[855/5000][250/535][88083] Loss_D: -0.021794 Loss_G: 0.030308 Loss_D_real: -0.026161 Loss_D_fake -0.004367
[855/5000][255/535][88084] Loss_D: -0.022675 Loss_G: -0.015913 Loss_D_real: -0.011370 Loss_D_fake 0.011305
[855/5000][260/535][88085] Loss_D: -0.021153 Loss_G: 0.004841 Loss_D_real: -0.016364 Loss_D_fake 0.004789
[855/5000][265/535][88086] Loss_D: -0.023112 Loss_G: 0.024235 Loss_D_real: -0.016442 Loss_D_fake 0.006670
[855/5000][270/535][88087] Loss_D: -0.023288 Loss_G: -0.003310 Loss_D_real: -0.017296 Loss_D_fake 0.005991
[855/5000][275/535][88088] Loss_D: -0.022811 Loss_G: 0.000216 Loss_D_real: -0.013408 Loss_D_fake 0.009403
[855/5000][280/535][88089] Loss_D: -0.024093 Loss_G: 0.005708 Loss_D_real: -0.012494 Loss_D_fake 0.011599
[855/5000][285/535][88090] Loss_D: -0.020975 Loss_G: 0.033750 Loss_D_real: -0.029673 Loss_D_fake -0.008698
[855/5000][290/535][88091] Loss_D: -0.022342 Loss_G: 0.016478 Loss_D_real: -0.027296 Loss_D_fake -0.004953
[855/5000][295/535][88092] Loss_D: -0.024370 Loss_G: 0.015003 Loss_D_real: -0.023953 Loss_D_fake 0.000417
[855/5000][300/535][88093] Loss_D: -0.024470 Loss_G: 0.015003 Loss_D_real: -0.028571 Loss_D_fake -0.004100
[855/5000][305/535][88094] Loss_D: -0.024255 Loss_G: -0.000070 Loss_D_real: -0.012667 Loss_D_fake 0.011588
[855/5000][310/535][88095] Loss_D: -0.023163 Loss_G: 0.008135 Loss_D_real: -0.020312 Loss_D_fake 0.002852
[855/5000][315/535][88096] Loss_D: -0.024150 Loss_G: 0.000531 Loss_D_real: -0.010897 Loss_D_fake 0.013254
[855/5000][320/535][88097] Loss_D: -0.023628 Loss_G: 0.005703 Loss_D_real: -0.020430 Loss_D_fake 0.003197
[855/5000][325/535][88098] Loss_D: -0.024396 Loss_G: 0.012752 Loss_D_real: -0.022174 Loss_D_fake 0.002221
[855/5000][330/535][88099] Loss_D: -0.023152 Loss_G: 0.004609 Loss_D_real: -0.021323 Loss_D_fake 0.001829
[855/5000][335/535][88100] Loss_D: -0.023217 Loss_G: 0.003632 Loss_D_real: -0.017861 Loss_D_fake 0.005356
[855/5000][340/535][88101] Loss_D: -0.022730 Loss_G: -0.006074 Loss_D_real: -0.012963 Loss_D_fake 0.009767
[855/5000][345/535][88102] Loss_D: -0.022700 Loss_G: -0.002172 Loss_D_real: -0.008342 Loss_D_fake 0.014358
[855/5000][350/535][88103] Loss_D: -0.021788 Loss_G: -0.012098 Loss_D_real: -0.005049 Loss_D_fake 0.016739
[855/5000][355/535][88104] Loss_D: -0.022338 Loss_G: 0.015198 Loss_D_real: -0.016692 Loss_D_fake 0.005646
[855/5000][360/535][88105] Loss_D: -0.022485 Loss_G: 0.001551 Loss_D_real: -0.010799 Loss_D_fake 0.011687
[855/5000][365/535][88106] Loss_D: -0.021566 Loss_G: -0.011586 Loss_D_real: -0.008037 Loss_D_fake 0.013529
[855/5000][370/535][88107] Loss_D: -0.022632 Loss_G: 0.023507 Loss_D_real: -0.017044 Loss_D_fake 0.005588
[855/5000][375/535][88108] Loss_D: -0.022463 Loss_G: -0.006629 Loss_D_real: -0.014353 Loss_D_fake 0.008110
[855/5000][380/535][88109] Loss_D: -0.023402 Loss_G: 0.008997 Loss_D_real: -0.016401 Loss_D_fake 0.007002
[855/5000][385/535][88110] Loss_D: -0.022476 Loss_G: 0.012858 Loss_D_real: -0.015210 Loss_D_fake 0.007265
[855/5000][390/535][88111] Loss_D: -0.020665 Loss_G: 0.028975 Loss_D_real: -0.035065 Loss_D_fake -0.014400
[855/5000][395/535][88112] Loss_D: -0.022142 Loss_G: -0.005205 Loss_D_real: -0.012294 Loss_D_fake 0.009848
[855/5000][400/535][88113] Loss_D: -0.021464 Loss_G: -0.001734 Loss_D_real: -0.002542 Loss_D_fake 0.018922
[855/5000][405/535][88114] Loss_D: -0.022276 Loss_G: 0.027476 Loss_D_real: -0.016713 Loss_D_fake 0.005563
[855/5000][410/535][88115] Loss_D: -0.022675 Loss_G: -0.011512 Loss_D_real: -0.007441 Loss_D_fake 0.015233
[855/5000][415/535][88116] Loss_D: -0.022211 Loss_G: -0.004695 Loss_D_real: -0.009815 Loss_D_fake 0.012396
[855/5000][420/535][88117] Loss_D: -0.024110 Loss_G: -0.000135 Loss_D_real: -0.008041 Loss_D_fake 0.016069
[855/5000][425/535][88118] Loss_D: -0.023619 Loss_G: 0.003841 Loss_D_real: -0.019512 Loss_D_fake 0.004106
[855/5000][430/535][88119] Loss_D: -0.021876 Loss_G: -0.007115 Loss_D_real: -0.007995 Loss_D_fake 0.013881
[855/5000][435/535][88120] Loss_D: -0.021642 Loss_G: 0.009017 Loss_D_real: -0.018472 Loss_D_fake 0.003170
[855/5000][440/535][88121] Loss_D: -0.023219 Loss_G: 0.011810 Loss_D_real: -0.024154 Loss_D_fake -0.000935
[855/5000][445/535][88122] Loss_D: -0.023801 Loss_G: 0.010192 Loss_D_real: -0.012158 Loss_D_fake 0.011643
[855/5000][450/535][88123] Loss_D: -0.022665 Loss_G: 0.003655 Loss_D_real: -0.021826 Loss_D_fake 0.000839
[855/5000][455/535][88124] Loss_D: -0.023381 Loss_G: 0.011075 Loss_D_real: -0.010372 Loss_D_fake 0.013009
[855/5000][460/535][88125] Loss_D: -0.022181 Loss_G: 0.013148 Loss_D_real: -0.013601 Loss_D_fake 0.008581
[855/5000][465/535][88126] Loss_D: -0.023851 Loss_G: 0.003853 Loss_D_real: -0.008999 Loss_D_fake 0.014852
[855/5000][470/535][88127] Loss_D: -0.022844 Loss_G: 0.003978 Loss_D_real: -0.013812 Loss_D_fake 0.009033
[855/5000][475/535][88128] Loss_D: -0.023670 Loss_G: -0.004018 Loss_D_real: -0.012158 Loss_D_fake 0.011512
[855/5000][480/535][88129] Loss_D: -0.023392 Loss_G: 0.012857 Loss_D_real: -0.018904 Loss_D_fake 0.004488
[855/5000][485/535][88130] Loss_D: -0.022482 Loss_G: 0.003703 Loss_D_real: -0.009993 Loss_D_fake 0.012489
[855/5000][490/535][88131] Loss_D: -0.023247 Loss_G: 0.017195 Loss_D_real: -0.026685 Loss_D_fake -0.003437
[855/5000][495/535][88132] Loss_D: -0.022945 Loss_G: 0.008206 Loss_D_real: -0.010781 Loss_D_fake 0.012164
[855/5000][500/535][88133] Loss_D: -0.023649 Loss_G: 0.017432 Loss_D_real: -0.022270 Loss_D_fake 0.001379
[855/5000][505/535][88134] Loss_D: -0.022283 Loss_G: 0.004736 Loss_D_real: -0.007910 Loss_D_fake 0.014373
[855/5000][510/535][88135] Loss_D: -0.022929 Loss_G: 0.010512 Loss_D_real: -0.030416 Loss_D_fake -0.007486
[855/5000][515/535][88136] Loss_D: -0.024531 Loss_G: 0.007108 Loss_D_real: -0.011087 Loss_D_fake 0.013445
[855/5000][520/535][88137] Loss_D: -0.022947 Loss_G: 0.000289 Loss_D_real: -0.008408 Loss_D_fake 0.014539
[855/5000][525/535][88138] Loss_D: -0.022720 Loss_G: 0.020000 Loss_D_real: -0.022392 Loss_D_fake 0.000328
[855/5000][530/535][88139] Loss_D: -0.022364 Loss_G: -0.007403 Loss_D_real: -0.005029 Loss_D_fake 0.017334
[855/5000][535/535][88140] Loss_D: -0.021010 Loss_G: -0.030574 Loss_D_real: -0.002765 Loss_D_fake 0.018244
[856/5000][5/535][88141] Loss_D: -0.020352 Loss_G: 0.010616 Loss_D_real: -0.014124 Loss_D_fake 0.006228
[856/5000][10/535][88142] Loss_D: -0.023663 Loss_G: 0.015056 Loss_D_real: -0.016390 Loss_D_fake 0.007273
[856/5000][15/535][88143] Loss_D: -0.022024 Loss_G: -0.002063 Loss_D_real: -0.011356 Loss_D_fake 0.010668
[856/5000][20/535][88144] Loss_D: -0.021530 Loss_G: 0.019032 Loss_D_real: -0.031189 Loss_D_fake -0.009659
[856/5000][25/535][88145] Loss_D: -0.021199 Loss_G: 0.017389 Loss_D_real: -0.024634 Loss_D_fake -0.003435
[856/5000][30/535][88146] Loss_D: -0.023266 Loss_G: 0.003858 Loss_D_real: -0.008909 Loss_D_fake 0.014356
[856/5000][35/535][88147] Loss_D: -0.023203 Loss_G: 0.003997 Loss_D_real: -0.016134 Loss_D_fake 0.007069
[856/5000][40/535][88148] Loss_D: -0.022363 Loss_G: 0.008036 Loss_D_real: -0.012405 Loss_D_fake 0.009959
[856/5000][45/535][88149] Loss_D: -0.023019 Loss_G: -0.007678 Loss_D_real: -0.004683 Loss_D_fake 0.018335
[856/5000][50/535][88150] Loss_D: -0.023057 Loss_G: -0.016502 Loss_D_real: -0.008926 Loss_D_fake 0.014132
[856/5000][55/535][88151] Loss_D: -0.023018 Loss_G: 0.015855 Loss_D_real: -0.010659 Loss_D_fake 0.012359
[856/5000][60/535][88152] Loss_D: -0.020830 Loss_G: 0.024530 Loss_D_real: -0.034685 Loss_D_fake -0.013856
[856/5000][65/535][88153] Loss_D: -0.023060 Loss_G: -0.006938 Loss_D_real: -0.020530 Loss_D_fake 0.002530
[856/5000][70/535][88154] Loss_D: -0.020550 Loss_G: 0.029262 Loss_D_real: -0.028055 Loss_D_fake -0.007505
[856/5000][75/535][88155] Loss_D: -0.022550 Loss_G: -0.007288 Loss_D_real: -0.007235 Loss_D_fake 0.015316
[856/5000][80/535][88156] Loss_D: -0.022708 Loss_G: 0.018214 Loss_D_real: -0.024669 Loss_D_fake -0.001961
[856/5000][85/535][88157] Loss_D: -0.023543 Loss_G: -0.001502 Loss_D_real: -0.021113 Loss_D_fake 0.002430
[856/5000][90/535][88158] Loss_D: -0.022597 Loss_G: 0.005715 Loss_D_real: -0.021791 Loss_D_fake 0.000806
[856/5000][95/535][88159] Loss_D: -0.023333 Loss_G: 0.012388 Loss_D_real: -0.014715 Loss_D_fake 0.008618
[856/5000][100/535][88160] Loss_D: -0.023548 Loss_G: -0.004193 Loss_D_real: -0.019301 Loss_D_fake 0.004246
[856/5000][105/535][88161] Loss_D: -0.024031 Loss_G: 0.002409 Loss_D_real: -0.019575 Loss_D_fake 0.004456
[856/5000][110/535][88162] Loss_D: -0.023141 Loss_G: 0.011004 Loss_D_real: -0.014887 Loss_D_fake 0.008254
[856/5000][115/535][88163] Loss_D: -0.021581 Loss_G: 0.012635 Loss_D_real: -0.028755 Loss_D_fake -0.007174
[856/5000][120/535][88164] Loss_D: -0.023943 Loss_G: 0.007000 Loss_D_real: -0.010610 Loss_D_fake 0.013333
[856/5000][125/535][88165] Loss_D: -0.022964 Loss_G: -0.005970 Loss_D_real: -0.005680 Loss_D_fake 0.017284
[856/5000][130/535][88166] Loss_D: -0.023315 Loss_G: 0.013892 Loss_D_real: -0.021014 Loss_D_fake 0.002301
[856/5000][135/535][88167] Loss_D: -0.022586 Loss_G: 0.011099 Loss_D_real: -0.016830 Loss_D_fake 0.005756
[856/5000][140/535][88168] Loss_D: -0.022848 Loss_G: 0.010998 Loss_D_real: -0.017766 Loss_D_fake 0.005082
[856/5000][145/535][88169] Loss_D: -0.022469 Loss_G: 0.008941 Loss_D_real: -0.023483 Loss_D_fake -0.001014
[856/5000][150/535][88170] Loss_D: -0.022313 Loss_G: 0.014912 Loss_D_real: -0.015143 Loss_D_fake 0.007170
[856/5000][155/535][88171] Loss_D: -0.022605 Loss_G: 0.011409 Loss_D_real: -0.027692 Loss_D_fake -0.005087
[856/5000][160/535][88172] Loss_D: -0.023345 Loss_G: 0.025333 Loss_D_real: -0.019417 Loss_D_fake 0.003927
[856/5000][165/535][88173] Loss_D: -0.023178 Loss_G: 0.005241 Loss_D_real: -0.023317 Loss_D_fake -0.000139
[856/5000][170/535][88174] Loss_D: -0.023632 Loss_G: -0.005146 Loss_D_real: -0.010454 Loss_D_fake 0.013178
[856/5000][175/535][88175] Loss_D: -0.022637 Loss_G: 0.020367 Loss_D_real: -0.019172 Loss_D_fake 0.003465
[856/5000][180/535][88176] Loss_D: -0.023794 Loss_G: 0.011157 Loss_D_real: -0.024390 Loss_D_fake -0.000595
[856/5000][185/535][88177] Loss_D: -0.021077 Loss_G: 0.037699 Loss_D_real: -0.034845 Loss_D_fake -0.013768
[856/5000][190/535][88178] Loss_D: -0.023362 Loss_G: -0.009223 Loss_D_real: 0.000948 Loss_D_fake 0.024310
[856/5000][195/535][88179] Loss_D: -0.022276 Loss_G: 0.021105 Loss_D_real: -0.031889 Loss_D_fake -0.009612
[856/5000][200/535][88180] Loss_D: -0.023397 Loss_G: 0.010736 Loss_D_real: -0.013874 Loss_D_fake 0.009523
[856/5000][205/535][88181] Loss_D: -0.023239 Loss_G: 0.021919 Loss_D_real: -0.026057 Loss_D_fake -0.002818
[856/5000][210/535][88182] Loss_D: -0.024092 Loss_G: -0.003362 Loss_D_real: -0.007466 Loss_D_fake 0.016626
[856/5000][215/535][88183] Loss_D: -0.023218 Loss_G: 0.007293 Loss_D_real: -0.013296 Loss_D_fake 0.009922
[856/5000][220/535][88184] Loss_D: -0.021293 Loss_G: 0.009158 Loss_D_real: -0.020080 Loss_D_fake 0.001213
[856/5000][225/535][88185] Loss_D: -0.022336 Loss_G: -0.005197 Loss_D_real: -0.004353 Loss_D_fake 0.017983
[856/5000][230/535][88186] Loss_D: -0.020972 Loss_G: -0.018224 Loss_D_real: -0.008910 Loss_D_fake 0.012062
[856/5000][235/535][88187] Loss_D: -0.023234 Loss_G: 0.016193 Loss_D_real: -0.025756 Loss_D_fake -0.002521
[856/5000][240/535][88188] Loss_D: -0.022973 Loss_G: -0.007760 Loss_D_real: -0.007341 Loss_D_fake 0.015632
[856/5000][245/535][88189] Loss_D: -0.022179 Loss_G: 0.014175 Loss_D_real: -0.020437 Loss_D_fake 0.001742
[856/5000][250/535][88190] Loss_D: -0.022784 Loss_G: 0.022194 Loss_D_real: -0.013007 Loss_D_fake 0.009777
[856/5000][255/535][88191] Loss_D: -0.022370 Loss_G: -0.001210 Loss_D_real: -0.020228 Loss_D_fake 0.002142
[856/5000][260/535][88192] Loss_D: -0.023619 Loss_G: 0.007850 Loss_D_real: -0.007075 Loss_D_fake 0.016544
[856/5000][265/535][88193] Loss_D: -0.022440 Loss_G: 0.020582 Loss_D_real: -0.022257 Loss_D_fake 0.000183
[856/5000][270/535][88194] Loss_D: -0.022721 Loss_G: 0.015905 Loss_D_real: -0.033784 Loss_D_fake -0.011064
[856/5000][275/535][88195] Loss_D: -0.024284 Loss_G: 0.005370 Loss_D_real: -0.019372 Loss_D_fake 0.004912
[856/5000][280/535][88196] Loss_D: -0.022808 Loss_G: 0.036953 Loss_D_real: -0.033872 Loss_D_fake -0.011064
[856/5000][285/535][88197] Loss_D: -0.023377 Loss_G: 0.017132 Loss_D_real: -0.013893 Loss_D_fake 0.009485
[856/5000][290/535][88198] Loss_D: -0.024643 Loss_G: -0.001634 Loss_D_real: -0.020162 Loss_D_fake 0.004482
[856/5000][295/535][88199] Loss_D: -0.023627 Loss_G: 0.004266 Loss_D_real: -0.022447 Loss_D_fake 0.001180
[856/5000][300/535][88200] Loss_D: -0.022866 Loss_G: 0.015910 Loss_D_real: -0.022284 Loss_D_fake 0.000582
[856/5000][305/535][88201] Loss_D: -0.022257 Loss_G: -0.002301 Loss_D_real: -0.013334 Loss_D_fake 0.008923
[856/5000][310/535][88202] Loss_D: -0.023241 Loss_G: 0.001041 Loss_D_real: -0.011207 Loss_D_fake 0.012034
[856/5000][315/535][88203] Loss_D: -0.022676 Loss_G: -0.005854 Loss_D_real: -0.011923 Loss_D_fake 0.010753
[856/5000][320/535][88204] Loss_D: -0.022693 Loss_G: 0.026930 Loss_D_real: -0.025329 Loss_D_fake -0.002635
[856/5000][325/535][88205] Loss_D: -0.023449 Loss_G: 0.024618 Loss_D_real: -0.021535 Loss_D_fake 0.001914
[856/5000][330/535][88206] Loss_D: -0.024290 Loss_G: 0.004960 Loss_D_real: -0.012477 Loss_D_fake 0.011813
[856/5000][335/535][88207] Loss_D: -0.021933 Loss_G: 0.022502 Loss_D_real: -0.026494 Loss_D_fake -0.004561
[856/5000][340/535][88208] Loss_D: -0.023738 Loss_G: -0.003849 Loss_D_real: -0.005309 Loss_D_fake 0.018429
[856/5000][345/535][88209] Loss_D: -0.021468 Loss_G: 0.013821 Loss_D_real: -0.025148 Loss_D_fake -0.003680
[856/5000][350/535][88210] Loss_D: -0.022602 Loss_G: 0.021182 Loss_D_real: -0.020134 Loss_D_fake 0.002469
[856/5000][355/535][88211] Loss_D: -0.022176 Loss_G: -0.002239 Loss_D_real: -0.018359 Loss_D_fake 0.003817
[856/5000][360/535][88212] Loss_D: -0.022007 Loss_G: 0.021480 Loss_D_real: -0.039049 Loss_D_fake -0.017042
[856/5000][365/535][88213] Loss_D: -0.021997 Loss_G: -0.011763 Loss_D_real: -0.013324 Loss_D_fake 0.008673
[856/5000][370/535][88214] Loss_D: -0.020766 Loss_G: -0.013034 Loss_D_real: -0.008157 Loss_D_fake 0.012609
[856/5000][375/535][88215] Loss_D: -0.022466 Loss_G: 0.012747 Loss_D_real: -0.014847 Loss_D_fake 0.007620
[856/5000][380/535][88216] Loss_D: -0.022670 Loss_G: 0.013681 Loss_D_real: -0.015147 Loss_D_fake 0.007523
[856/5000][385/535][88217] Loss_D: -0.022899 Loss_G: 0.004177 Loss_D_real: -0.023667 Loss_D_fake -0.000768
[856/5000][390/535][88218] Loss_D: -0.022189 Loss_G: 0.014816 Loss_D_real: -0.031383 Loss_D_fake -0.009193
[856/5000][395/535][88219] Loss_D: -0.021815 Loss_G: 0.022049 Loss_D_real: -0.032312 Loss_D_fake -0.010497
[856/5000][400/535][88220] Loss_D: -0.022333 Loss_G: 0.016130 Loss_D_real: -0.023850 Loss_D_fake -0.001517
[856/5000][405/535][88221] Loss_D: -0.022889 Loss_G: 0.016132 Loss_D_real: -0.018345 Loss_D_fake 0.004544
[856/5000][410/535][88222] Loss_D: -0.023854 Loss_G: 0.016929 Loss_D_real: -0.024519 Loss_D_fake -0.000665
[856/5000][415/535][88223] Loss_D: -0.022053 Loss_G: -0.007788 Loss_D_real: -0.007663 Loss_D_fake 0.014391
[856/5000][420/535][88224] Loss_D: -0.022770 Loss_G: 0.015118 Loss_D_real: -0.017470 Loss_D_fake 0.005301
[856/5000][425/535][88225] Loss_D: -0.022921 Loss_G: 0.002782 Loss_D_real: -0.023324 Loss_D_fake -0.000403
[856/5000][430/535][88226] Loss_D: -0.023180 Loss_G: 0.018703 Loss_D_real: -0.027089 Loss_D_fake -0.003909
[856/5000][435/535][88227] Loss_D: -0.023196 Loss_G: 0.003400 Loss_D_real: -0.019359 Loss_D_fake 0.003837
[856/5000][440/535][88228] Loss_D: -0.024284 Loss_G: -0.003737 Loss_D_real: -0.009739 Loss_D_fake 0.014545
[856/5000][445/535][88229] Loss_D: -0.023820 Loss_G: 0.013919 Loss_D_real: -0.028513 Loss_D_fake -0.004693
[856/5000][450/535][88230] Loss_D: -0.023214 Loss_G: -0.002140 Loss_D_real: -0.020758 Loss_D_fake 0.002456
[856/5000][455/535][88231] Loss_D: -0.023088 Loss_G: 0.025595 Loss_D_real: -0.025618 Loss_D_fake -0.002530
[856/5000][460/535][88232] Loss_D: -0.021445 Loss_G: -0.009624 Loss_D_real: -0.012788 Loss_D_fake 0.008657
[856/5000][465/535][88233] Loss_D: -0.022064 Loss_G: 0.023475 Loss_D_real: -0.029137 Loss_D_fake -0.007073
[856/5000][470/535][88234] Loss_D: -0.022811 Loss_G: -0.001705 Loss_D_real: -0.015278 Loss_D_fake 0.007533
[856/5000][475/535][88235] Loss_D: -0.022278 Loss_G: -0.000065 Loss_D_real: -0.014964 Loss_D_fake 0.007314
[856/5000][480/535][88236] Loss_D: -0.022654 Loss_G: 0.010850 Loss_D_real: -0.025349 Loss_D_fake -0.002695
[856/5000][485/535][88237] Loss_D: -0.023362 Loss_G: 0.010258 Loss_D_real: -0.018096 Loss_D_fake 0.005267
[856/5000][490/535][88238] Loss_D: -0.024954 Loss_G: 0.011280 Loss_D_real: -0.016067 Loss_D_fake 0.008887
[856/5000][495/535][88239] Loss_D: -0.022523 Loss_G: 0.012586 Loss_D_real: -0.029757 Loss_D_fake -0.007234
[856/5000][500/535][88240] Loss_D: -0.021786 Loss_G: 0.008211 Loss_D_real: -0.020879 Loss_D_fake 0.000906
[856/5000][505/535][88241] Loss_D: -0.023632 Loss_G: 0.010320 Loss_D_real: -0.016166 Loss_D_fake 0.007466
[856/5000][510/535][88242] Loss_D: -0.022784 Loss_G: 0.002259 Loss_D_real: -0.020489 Loss_D_fake 0.002295
[856/5000][515/535][88243] Loss_D: -0.022453 Loss_G: 0.009109 Loss_D_real: -0.017836 Loss_D_fake 0.004616
[856/5000][520/535][88244] Loss_D: -0.022895 Loss_G: 0.017623 Loss_D_real: -0.015412 Loss_D_fake 0.007483
[856/5000][525/535][88245] Loss_D: -0.023471 Loss_G: -0.006574 Loss_D_real: -0.013807 Loss_D_fake 0.009664
[856/5000][530/535][88246] Loss_D: -0.023603 Loss_G: 0.009318 Loss_D_real: 0.000301 Loss_D_fake 0.023904
[856/5000][535/535][88247] Loss_D: -0.025415 Loss_G: 0.023995 Loss_D_real: -0.018180 Loss_D_fake 0.007235
[857/5000][5/535][88248] Loss_D: -0.024915 Loss_G: 0.012473 Loss_D_real: -0.012033 Loss_D_fake 0.012882
[857/5000][10/535][88249] Loss_D: -0.023420 Loss_G: -0.001333 Loss_D_real: -0.009636 Loss_D_fake 0.013785
[857/5000][15/535][88250] Loss_D: -0.023899 Loss_G: 0.009408 Loss_D_real: -0.022934 Loss_D_fake 0.000965
[857/5000][20/535][88251] Loss_D: -0.023230 Loss_G: 0.016393 Loss_D_real: -0.019059 Loss_D_fake 0.004172
[857/5000][25/535][88252] Loss_D: -0.022049 Loss_G: 0.004536 Loss_D_real: -0.020649 Loss_D_fake 0.001400
[857/5000][30/535][88253] Loss_D: -0.024408 Loss_G: -0.009827 Loss_D_real: -0.020416 Loss_D_fake 0.003992
[857/5000][35/535][88254] Loss_D: -0.022145 Loss_G: 0.000309 Loss_D_real: -0.015642 Loss_D_fake 0.006503
[857/5000][40/535][88255] Loss_D: -0.023416 Loss_G: 0.020505 Loss_D_real: -0.032023 Loss_D_fake -0.008608
[857/5000][45/535][88256] Loss_D: -0.021386 Loss_G: -0.008737 Loss_D_real: -0.002867 Loss_D_fake 0.018519
[857/5000][50/535][88257] Loss_D: -0.022502 Loss_G: 0.023131 Loss_D_real: -0.028894 Loss_D_fake -0.006392
[857/5000][55/535][88258] Loss_D: -0.023429 Loss_G: -0.004293 Loss_D_real: 0.002084 Loss_D_fake 0.025513
[857/5000][60/535][88259] Loss_D: -0.022863 Loss_G: 0.014567 Loss_D_real: -0.024193 Loss_D_fake -0.001330
[857/5000][65/535][88260] Loss_D: -0.023330 Loss_G: -0.002648 Loss_D_real: -0.020320 Loss_D_fake 0.003010
[857/5000][70/535][88261] Loss_D: -0.022239 Loss_G: 0.011893 Loss_D_real: -0.025098 Loss_D_fake -0.002859
[857/5000][75/535][88262] Loss_D: -0.021950 Loss_G: 0.019950 Loss_D_real: -0.036692 Loss_D_fake -0.014742
[857/5000][80/535][88263] Loss_D: -0.024644 Loss_G: 0.009281 Loss_D_real: -0.015276 Loss_D_fake 0.009368
[857/5000][85/535][88264] Loss_D: -0.022701 Loss_G: -0.000286 Loss_D_real: -0.011712 Loss_D_fake 0.010989
[857/5000][90/535][88265] Loss_D: -0.022125 Loss_G: 0.028616 Loss_D_real: -0.026195 Loss_D_fake -0.004070
[857/5000][95/535][88266] Loss_D: -0.022138 Loss_G: 0.008468 Loss_D_real: -0.023801 Loss_D_fake -0.001664
[857/5000][100/535][88267] Loss_D: -0.022639 Loss_G: 0.016102 Loss_D_real: -0.015346 Loss_D_fake 0.007293
[857/5000][105/535][88268] Loss_D: -0.022412 Loss_G: 0.017195 Loss_D_real: -0.023005 Loss_D_fake -0.000593
[857/5000][110/535][88269] Loss_D: -0.021916 Loss_G: 0.008427 Loss_D_real: -0.011278 Loss_D_fake 0.010638
[857/5000][115/535][88270] Loss_D: -0.022937 Loss_G: 0.012242 Loss_D_real: -0.023792 Loss_D_fake -0.000855
[857/5000][120/535][88271] Loss_D: -0.023192 Loss_G: 0.011212 Loss_D_real: -0.022357 Loss_D_fake 0.000835
[857/5000][125/535][88272] Loss_D: -0.022040 Loss_G: -0.009753 Loss_D_real: -0.003728 Loss_D_fake 0.018312
[857/5000][130/535][88273] Loss_D: -0.021564 Loss_G: -0.007432 Loss_D_real: -0.008713 Loss_D_fake 0.012851
[857/5000][135/535][88274] Loss_D: -0.022201 Loss_G: -0.001134 Loss_D_real: -0.005962 Loss_D_fake 0.016239
[857/5000][140/535][88275] Loss_D: -0.022151 Loss_G: 0.011343 Loss_D_real: -0.024785 Loss_D_fake -0.002635
[857/5000][145/535][88276] Loss_D: -0.021728 Loss_G: 0.019337 Loss_D_real: -0.032397 Loss_D_fake -0.010669
[857/5000][150/535][88277] Loss_D: -0.022270 Loss_G: 0.025748 Loss_D_real: -0.023798 Loss_D_fake -0.001529
[857/5000][155/535][88278] Loss_D: -0.023568 Loss_G: 0.005466 Loss_D_real: -0.018596 Loss_D_fake 0.004972
[857/5000][160/535][88279] Loss_D: -0.021992 Loss_G: 0.001682 Loss_D_real: -0.007569 Loss_D_fake 0.014423
[857/5000][165/535][88280] Loss_D: -0.023572 Loss_G: 0.003640 Loss_D_real: -0.012233 Loss_D_fake 0.011340
[857/5000][170/535][88281] Loss_D: -0.022302 Loss_G: 0.031865 Loss_D_real: -0.031671 Loss_D_fake -0.009369
[857/5000][175/535][88282] Loss_D: -0.022727 Loss_G: 0.006420 Loss_D_real: -0.010925 Loss_D_fake 0.011803
[857/5000][180/535][88283] Loss_D: -0.023757 Loss_G: 0.011964 Loss_D_real: -0.006723 Loss_D_fake 0.017034
[857/5000][185/535][88284] Loss_D: -0.021684 Loss_G: -0.018090 Loss_D_real: -0.005925 Loss_D_fake 0.015759
[857/5000][190/535][88285] Loss_D: -0.022815 Loss_G: -0.004092 Loss_D_real: -0.007873 Loss_D_fake 0.014943
[857/5000][195/535][88286] Loss_D: -0.023100 Loss_G: 0.009029 Loss_D_real: -0.019691 Loss_D_fake 0.003409
[857/5000][200/535][88287] Loss_D: -0.021988 Loss_G: 0.021522 Loss_D_real: -0.030513 Loss_D_fake -0.008525
[857/5000][205/535][88288] Loss_D: -0.023519 Loss_G: 0.008475 Loss_D_real: -0.009646 Loss_D_fake 0.013872
[857/5000][210/535][88289] Loss_D: -0.023685 Loss_G: 0.002533 Loss_D_real: -0.021648 Loss_D_fake 0.002037
[857/5000][215/535][88290] Loss_D: -0.023003 Loss_G: -0.000606 Loss_D_real: -0.004481 Loss_D_fake 0.018522
[857/5000][220/535][88291] Loss_D: -0.021651 Loss_G: 0.015969 Loss_D_real: -0.025142 Loss_D_fake -0.003490
[857/5000][225/535][88292] Loss_D: -0.021305 Loss_G: 0.025930 Loss_D_real: -0.038358 Loss_D_fake -0.017053
[857/5000][230/535][88293] Loss_D: -0.022040 Loss_G: 0.015750 Loss_D_real: -0.015289 Loss_D_fake 0.006752
[857/5000][235/535][88294] Loss_D: -0.023198 Loss_G: 0.006441 Loss_D_real: -0.023957 Loss_D_fake -0.000759
[857/5000][240/535][88295] Loss_D: -0.023327 Loss_G: -0.007095 Loss_D_real: -0.014734 Loss_D_fake 0.008593
[857/5000][245/535][88296] Loss_D: -0.022252 Loss_G: 0.002397 Loss_D_real: -0.020824 Loss_D_fake 0.001428
[857/5000][250/535][88297] Loss_D: -0.021990 Loss_G: 0.020028 Loss_D_real: -0.018211 Loss_D_fake 0.003779
[857/5000][255/535][88298] Loss_D: -0.023000 Loss_G: 0.002025 Loss_D_real: -0.012469 Loss_D_fake 0.010531
[857/5000][260/535][88299] Loss_D: -0.023335 Loss_G: 0.019559 Loss_D_real: -0.024581 Loss_D_fake -0.001246
[857/5000][265/535][88300] Loss_D: -0.024022 Loss_G: 0.024552 Loss_D_real: -0.029330 Loss_D_fake -0.005309
[857/5000][270/535][88301] Loss_D: -0.022217 Loss_G: -0.017163 Loss_D_real: -0.002469 Loss_D_fake 0.019748
[857/5000][275/535][88302] Loss_D: -0.023018 Loss_G: -0.006109 Loss_D_real: -0.007828 Loss_D_fake 0.015190
[857/5000][280/535][88303] Loss_D: -0.024434 Loss_G: -0.002579 Loss_D_real: -0.007536 Loss_D_fake 0.016898
[857/5000][285/535][88304] Loss_D: -0.023097 Loss_G: 0.010273 Loss_D_real: -0.022372 Loss_D_fake 0.000725
[857/5000][290/535][88305] Loss_D: -0.022086 Loss_G: 0.008720 Loss_D_real: -0.011710 Loss_D_fake 0.010376
[857/5000][295/535][88306] Loss_D: -0.022260 Loss_G: 0.030626 Loss_D_real: -0.021005 Loss_D_fake 0.001255
[857/5000][300/535][88307] Loss_D: -0.022699 Loss_G: 0.018354 Loss_D_real: -0.026303 Loss_D_fake -0.003603
[857/5000][305/535][88308] Loss_D: -0.022043 Loss_G: -0.001579 Loss_D_real: -0.022083 Loss_D_fake -0.000039
[857/5000][310/535][88309] Loss_D: -0.023358 Loss_G: -0.000232 Loss_D_real: -0.017140 Loss_D_fake 0.006218
[857/5000][315/535][88310] Loss_D: -0.022700 Loss_G: -0.007622 Loss_D_real: -0.007771 Loss_D_fake 0.014929
[857/5000][320/535][88311] Loss_D: -0.023019 Loss_G: 0.028383 Loss_D_real: -0.020851 Loss_D_fake 0.002168
[857/5000][325/535][88312] Loss_D: -0.022885 Loss_G: 0.008647 Loss_D_real: -0.025980 Loss_D_fake -0.003096
[857/5000][330/535][88313] Loss_D: -0.023131 Loss_G: 0.011578 Loss_D_real: -0.020053 Loss_D_fake 0.003079
[857/5000][335/535][88314] Loss_D: -0.022935 Loss_G: -0.000974 Loss_D_real: -0.007404 Loss_D_fake 0.015531
[857/5000][340/535][88315] Loss_D: -0.022019 Loss_G: 0.002992 Loss_D_real: -0.008185 Loss_D_fake 0.013834
[857/5000][345/535][88316] Loss_D: -0.023391 Loss_G: 0.010954 Loss_D_real: -0.026581 Loss_D_fake -0.003191
[857/5000][350/535][88317] Loss_D: -0.021743 Loss_G: -0.013342 Loss_D_real: -0.001290 Loss_D_fake 0.020453
[857/5000][355/535][88318] Loss_D: -0.021634 Loss_G: 0.015866 Loss_D_real: -0.018975 Loss_D_fake 0.002659
[857/5000][360/535][88319] Loss_D: -0.022846 Loss_G: 0.004600 Loss_D_real: -0.007827 Loss_D_fake 0.015019
[857/5000][365/535][88320] Loss_D: -0.024334 Loss_G: 0.004247 Loss_D_real: -0.011603 Loss_D_fake 0.012731
[857/5000][370/535][88321] Loss_D: -0.023356 Loss_G: 0.012701 Loss_D_real: -0.024751 Loss_D_fake -0.001395
[857/5000][375/535][88322] Loss_D: -0.021765 Loss_G: 0.031182 Loss_D_real: -0.033877 Loss_D_fake -0.012112
[857/5000][380/535][88323] Loss_D: -0.022583 Loss_G: -0.016731 Loss_D_real: -0.005775 Loss_D_fake 0.016807
[857/5000][385/535][88324] Loss_D: -0.022418 Loss_G: 0.013667 Loss_D_real: -0.024385 Loss_D_fake -0.001967
[857/5000][390/535][88325] Loss_D: -0.023684 Loss_G: 0.021689 Loss_D_real: -0.032905 Loss_D_fake -0.009221
[857/5000][395/535][88326] Loss_D: -0.022029 Loss_G: 0.008765 Loss_D_real: -0.013371 Loss_D_fake 0.008658
[857/5000][400/535][88327] Loss_D: -0.023395 Loss_G: 0.006027 Loss_D_real: -0.022183 Loss_D_fake 0.001213
[857/5000][405/535][88328] Loss_D: -0.022668 Loss_G: -0.007196 Loss_D_real: -0.010841 Loss_D_fake 0.011827
[857/5000][410/535][88329] Loss_D: -0.022329 Loss_G: 0.003256 Loss_D_real: -0.029990 Loss_D_fake -0.007662
[857/5000][415/535][88330] Loss_D: -0.023378 Loss_G: 0.004315 Loss_D_real: -0.020575 Loss_D_fake 0.002803
[857/5000][420/535][88331] Loss_D: -0.022504 Loss_G: 0.025136 Loss_D_real: -0.021864 Loss_D_fake 0.000640
[857/5000][425/535][88332] Loss_D: -0.023238 Loss_G: 0.011074 Loss_D_real: -0.020271 Loss_D_fake 0.002967
[857/5000][430/535][88333] Loss_D: -0.023042 Loss_G: 0.023564 Loss_D_real: -0.031597 Loss_D_fake -0.008555
[857/5000][435/535][88334] Loss_D: -0.023766 Loss_G: -0.007959 Loss_D_real: -0.012047 Loss_D_fake 0.011719
[857/5000][440/535][88335] Loss_D: -0.022034 Loss_G: 0.005002 Loss_D_real: -0.019930 Loss_D_fake 0.002104
[857/5000][445/535][88336] Loss_D: -0.022612 Loss_G: 0.022042 Loss_D_real: -0.030127 Loss_D_fake -0.007516
[857/5000][450/535][88337] Loss_D: -0.021819 Loss_G: 0.018221 Loss_D_real: -0.029092 Loss_D_fake -0.007272
[857/5000][455/535][88338] Loss_D: -0.023803 Loss_G: -0.000220 Loss_D_real: -0.016255 Loss_D_fake 0.007548
[857/5000][460/535][88339] Loss_D: -0.023488 Loss_G: 0.011849 Loss_D_real: -0.026667 Loss_D_fake -0.003179
[857/5000][465/535][88340] Loss_D: -0.022508 Loss_G: 0.006768 Loss_D_real: -0.011516 Loss_D_fake 0.010991
[857/5000][470/535][88341] Loss_D: -0.022222 Loss_G: 0.000347 Loss_D_real: -0.016530 Loss_D_fake 0.005692
[857/5000][475/535][88342] Loss_D: -0.023590 Loss_G: 0.008408 Loss_D_real: -0.003290 Loss_D_fake 0.020301
[857/5000][480/535][88343] Loss_D: -0.021879 Loss_G: -0.006183 Loss_D_real: -0.010121 Loss_D_fake 0.011758
[857/5000][485/535][88344] Loss_D: -0.022222 Loss_G: 0.003186 Loss_D_real: -0.016819 Loss_D_fake 0.005403
[857/5000][490/535][88345] Loss_D: -0.021793 Loss_G: -0.016509 Loss_D_real: -0.004216 Loss_D_fake 0.017578
[857/5000][495/535][88346] Loss_D: -0.022363 Loss_G: 0.017333 Loss_D_real: -0.013894 Loss_D_fake 0.008469
[857/5000][500/535][88347] Loss_D: -0.024981 Loss_G: 0.001475 Loss_D_real: -0.017020 Loss_D_fake 0.007961
[857/5000][505/535][88348] Loss_D: -0.023172 Loss_G: 0.019157 Loss_D_real: -0.024049 Loss_D_fake -0.000877
[857/5000][510/535][88349] Loss_D: -0.023797 Loss_G: 0.002203 Loss_D_real: -0.020460 Loss_D_fake 0.003337
[857/5000][515/535][88350] Loss_D: -0.022032 Loss_G: 0.027514 Loss_D_real: -0.027908 Loss_D_fake -0.005876
[857/5000][520/535][88351] Loss_D: -0.022180 Loss_G: -0.010456 Loss_D_real: -0.003606 Loss_D_fake 0.018574
[857/5000][525/535][88352] Loss_D: -0.023628 Loss_G: -0.001514 Loss_D_real: -0.008740 Loss_D_fake 0.014888
[857/5000][530/535][88353] Loss_D: -0.023582 Loss_G: 0.017046 Loss_D_real: -0.021689 Loss_D_fake 0.001893
[857/5000][535/535][88354] Loss_D: -0.028073 Loss_G: 0.026005 Loss_D_real: -0.041991 Loss_D_fake -0.013918
[858/5000][5/535][88355] Loss_D: -0.023138 Loss_G: 0.007163 Loss_D_real: -0.009635 Loss_D_fake 0.013503
[858/5000][10/535][88356] Loss_D: -0.022808 Loss_G: 0.015387 Loss_D_real: -0.018434 Loss_D_fake 0.004374
[858/5000][15/535][88357] Loss_D: -0.023581 Loss_G: 0.010773 Loss_D_real: -0.019993 Loss_D_fake 0.003588
[858/5000][20/535][88358] Loss_D: -0.024042 Loss_G: -0.001275 Loss_D_real: -0.010984 Loss_D_fake 0.013058
[858/5000][25/535][88359] Loss_D: -0.022275 Loss_G: 0.016097 Loss_D_real: -0.029067 Loss_D_fake -0.006792
[858/5000][30/535][88360] Loss_D: -0.024301 Loss_G: -0.001496 Loss_D_real: -0.014726 Loss_D_fake 0.009575
[858/5000][35/535][88361] Loss_D: -0.021810 Loss_G: 0.013540 Loss_D_real: -0.034672 Loss_D_fake -0.012862
[858/5000][40/535][88362] Loss_D: -0.022748 Loss_G: 0.005433 Loss_D_real: -0.013660 Loss_D_fake 0.009088
[858/5000][45/535][88363] Loss_D: -0.021972 Loss_G: 0.017526 Loss_D_real: -0.025817 Loss_D_fake -0.003844
[858/5000][50/535][88364] Loss_D: -0.024073 Loss_G: 0.018141 Loss_D_real: -0.024142 Loss_D_fake -0.000069
[858/5000][55/535][88365] Loss_D: -0.024545 Loss_G: 0.001753 Loss_D_real: -0.027430 Loss_D_fake -0.002885
[858/5000][60/535][88366] Loss_D: -0.023762 Loss_G: 0.018319 Loss_D_real: -0.023656 Loss_D_fake 0.000106
[858/5000][65/535][88367] Loss_D: -0.023952 Loss_G: 0.020729 Loss_D_real: -0.040163 Loss_D_fake -0.016211
[858/5000][70/535][88368] Loss_D: -0.023275 Loss_G: -0.011440 Loss_D_real: -0.005756 Loss_D_fake 0.017519
[858/5000][75/535][88369] Loss_D: -0.023123 Loss_G: 0.007353 Loss_D_real: -0.021983 Loss_D_fake 0.001140
[858/5000][80/535][88370] Loss_D: -0.023368 Loss_G: 0.012142 Loss_D_real: -0.021508 Loss_D_fake 0.001860
[858/5000][85/535][88371] Loss_D: -0.023044 Loss_G: 0.008694 Loss_D_real: -0.014613 Loss_D_fake 0.008431
[858/5000][90/535][88372] Loss_D: -0.023409 Loss_G: -0.004055 Loss_D_real: -0.012462 Loss_D_fake 0.010947
[858/5000][95/535][88373] Loss_D: -0.023499 Loss_G: 0.016644 Loss_D_real: -0.034048 Loss_D_fake -0.010549
[858/5000][100/535][88374] Loss_D: -0.023194 Loss_G: -0.002798 Loss_D_real: -0.015343 Loss_D_fake 0.007852
[858/5000][105/535][88375] Loss_D: -0.022402 Loss_G: 0.002320 Loss_D_real: -0.013169 Loss_D_fake 0.009234
[858/5000][110/535][88376] Loss_D: -0.023248 Loss_G: 0.013299 Loss_D_real: -0.018201 Loss_D_fake 0.005047
[858/5000][115/535][88377] Loss_D: -0.024045 Loss_G: 0.017482 Loss_D_real: -0.024506 Loss_D_fake -0.000461
[858/5000][120/535][88378] Loss_D: -0.022876 Loss_G: 0.013752 Loss_D_real: -0.024888 Loss_D_fake -0.002013
[858/5000][125/535][88379] Loss_D: -0.023158 Loss_G: 0.000815 Loss_D_real: -0.010873 Loss_D_fake 0.012285
[858/5000][130/535][88380] Loss_D: -0.023978 Loss_G: 0.006901 Loss_D_real: -0.022293 Loss_D_fake 0.001685
[858/5000][135/535][88381] Loss_D: -0.022737 Loss_G: 0.011345 Loss_D_real: -0.029428 Loss_D_fake -0.006691
[858/5000][140/535][88382] Loss_D: -0.022997 Loss_G: 0.004795 Loss_D_real: -0.022958 Loss_D_fake 0.000040
[858/5000][145/535][88383] Loss_D: -0.023254 Loss_G: -0.006781 Loss_D_real: -0.005291 Loss_D_fake 0.017963
[858/5000][150/535][88384] Loss_D: -0.020664 Loss_G: 0.010270 Loss_D_real: -0.022501 Loss_D_fake -0.001836
[858/5000][155/535][88385] Loss_D: -0.022059 Loss_G: -0.000159 Loss_D_real: -0.015248 Loss_D_fake 0.006811
[858/5000][160/535][88386] Loss_D: -0.022328 Loss_G: 0.028127 Loss_D_real: -0.028719 Loss_D_fake -0.006391
[858/5000][165/535][88387] Loss_D: -0.022411 Loss_G: 0.008093 Loss_D_real: -0.030156 Loss_D_fake -0.007745
[858/5000][170/535][88388] Loss_D: -0.022101 Loss_G: 0.008378 Loss_D_real: -0.018041 Loss_D_fake 0.004060
[858/5000][175/535][88389] Loss_D: -0.024433 Loss_G: 0.003941 Loss_D_real: -0.006746 Loss_D_fake 0.017686
[858/5000][180/535][88390] Loss_D: -0.021532 Loss_G: 0.015757 Loss_D_real: -0.018644 Loss_D_fake 0.002889
[858/5000][185/535][88391] Loss_D: -0.022128 Loss_G: -0.009592 Loss_D_real: -0.002056 Loss_D_fake 0.020073
[858/5000][190/535][88392] Loss_D: -0.022694 Loss_G: 0.012212 Loss_D_real: -0.017557 Loss_D_fake 0.005137
[858/5000][195/535][88393] Loss_D: -0.022795 Loss_G: 0.005196 Loss_D_real: -0.019828 Loss_D_fake 0.002967
[858/5000][200/535][88394] Loss_D: -0.022483 Loss_G: 0.023098 Loss_D_real: -0.023178 Loss_D_fake -0.000694
[858/5000][205/535][88395] Loss_D: -0.022683 Loss_G: 0.021184 Loss_D_real: -0.032323 Loss_D_fake -0.009639
[858/5000][210/535][88396] Loss_D: -0.022692 Loss_G: -0.008333 Loss_D_real: -0.009457 Loss_D_fake 0.013235
[858/5000][215/535][88397] Loss_D: -0.023409 Loss_G: 0.011218 Loss_D_real: -0.019749 Loss_D_fake 0.003660
[858/5000][220/535][88398] Loss_D: -0.022486 Loss_G: 0.004353 Loss_D_real: -0.008655 Loss_D_fake 0.013831
[858/5000][225/535][88399] Loss_D: -0.022272 Loss_G: 0.026640 Loss_D_real: -0.026758 Loss_D_fake -0.004486
[858/5000][230/535][88400] Loss_D: -0.021563 Loss_G: 0.006867 Loss_D_real: -0.016427 Loss_D_fake 0.005136
[858/5000][235/535][88401] Loss_D: -0.022953 Loss_G: 0.014848 Loss_D_real: -0.018298 Loss_D_fake 0.004655
[858/5000][240/535][88402] Loss_D: -0.022038 Loss_G: -0.005530 Loss_D_real: -0.008936 Loss_D_fake 0.013102
[858/5000][245/535][88403] Loss_D: -0.021402 Loss_G: 0.009972 Loss_D_real: -0.007481 Loss_D_fake 0.013921
[858/5000][250/535][88404] Loss_D: -0.022978 Loss_G: -0.006867 Loss_D_real: -0.004236 Loss_D_fake 0.018742
[858/5000][255/535][88405] Loss_D: -0.022206 Loss_G: 0.012608 Loss_D_real: -0.015315 Loss_D_fake 0.006891
[858/5000][260/535][88406] Loss_D: -0.022641 Loss_G: 0.012272 Loss_D_real: -0.024221 Loss_D_fake -0.001580
[858/5000][265/535][88407] Loss_D: -0.024036 Loss_G: 0.011245 Loss_D_real: -0.014502 Loss_D_fake 0.009534
[858/5000][270/535][88408] Loss_D: -0.022265 Loss_G: 0.030125 Loss_D_real: -0.034459 Loss_D_fake -0.012194
[858/5000][275/535][88409] Loss_D: -0.022436 Loss_G: 0.007433 Loss_D_real: -0.021247 Loss_D_fake 0.001189
[858/5000][280/535][88410] Loss_D: -0.021765 Loss_G: 0.015697 Loss_D_real: -0.028915 Loss_D_fake -0.007150
[858/5000][285/535][88411] Loss_D: -0.022774 Loss_G: 0.001126 Loss_D_real: -0.015223 Loss_D_fake 0.007550
[858/5000][290/535][88412] Loss_D: -0.023032 Loss_G: 0.006180 Loss_D_real: -0.024967 Loss_D_fake -0.001935
[858/5000][295/535][88413] Loss_D: -0.023378 Loss_G: 0.004557 Loss_D_real: -0.013597 Loss_D_fake 0.009781
[858/5000][300/535][88414] Loss_D: -0.022543 Loss_G: 0.014513 Loss_D_real: -0.035639 Loss_D_fake -0.013096
[858/5000][305/535][88415] Loss_D: -0.023283 Loss_G: 0.016268 Loss_D_real: -0.018217 Loss_D_fake 0.005066
[858/5000][310/535][88416] Loss_D: -0.022722 Loss_G: 0.008120 Loss_D_real: -0.030072 Loss_D_fake -0.007350
[858/5000][315/535][88417] Loss_D: -0.022283 Loss_G: 0.022555 Loss_D_real: -0.026288 Loss_D_fake -0.004006
[858/5000][320/535][88418] Loss_D: -0.022923 Loss_G: 0.005302 Loss_D_real: -0.016297 Loss_D_fake 0.006626
[858/5000][325/535][88419] Loss_D: -0.020890 Loss_G: 0.024640 Loss_D_real: -0.028137 Loss_D_fake -0.007247
[858/5000][330/535][88420] Loss_D: -0.022259 Loss_G: 0.025663 Loss_D_real: -0.033881 Loss_D_fake -0.011622
[858/5000][335/535][88421] Loss_D: -0.023279 Loss_G: 0.002836 Loss_D_real: -0.015688 Loss_D_fake 0.007592
[858/5000][340/535][88422] Loss_D: -0.023608 Loss_G: 0.011135 Loss_D_real: -0.026927 Loss_D_fake -0.003319
[858/5000][345/535][88423] Loss_D: -0.022787 Loss_G: 0.016058 Loss_D_real: -0.012377 Loss_D_fake 0.010410
[858/5000][350/535][88424] Loss_D: -0.024587 Loss_G: 0.015983 Loss_D_real: -0.018446 Loss_D_fake 0.006141
[858/5000][355/535][88425] Loss_D: -0.023305 Loss_G: 0.008501 Loss_D_real: -0.025091 Loss_D_fake -0.001786
[858/5000][360/535][88426] Loss_D: -0.025163 Loss_G: 0.021778 Loss_D_real: -0.027696 Loss_D_fake -0.002533
[858/5000][365/535][88427] Loss_D: -0.023908 Loss_G: 0.019305 Loss_D_real: -0.021521 Loss_D_fake 0.002386
[858/5000][370/535][88428] Loss_D: -0.023452 Loss_G: 0.008490 Loss_D_real: -0.026869 Loss_D_fake -0.003417
[858/5000][375/535][88429] Loss_D: -0.023216 Loss_G: -0.013059 Loss_D_real: -0.005759 Loss_D_fake 0.017457
[858/5000][380/535][88430] Loss_D: -0.021855 Loss_G: 0.018624 Loss_D_real: -0.025736 Loss_D_fake -0.003881
[858/5000][385/535][88431] Loss_D: -0.021318 Loss_G: -0.003870 Loss_D_real: 0.001203 Loss_D_fake 0.022521
[858/5000][390/535][88432] Loss_D: -0.022435 Loss_G: 0.024435 Loss_D_real: -0.020745 Loss_D_fake 0.001690
[858/5000][395/535][88433] Loss_D: -0.021867 Loss_G: -0.005409 Loss_D_real: 0.000838 Loss_D_fake 0.022705
[858/5000][400/535][88434] Loss_D: -0.023213 Loss_G: 0.008249 Loss_D_real: -0.002842 Loss_D_fake 0.020372
[858/5000][405/535][88435] Loss_D: -0.021818 Loss_G: 0.024701 Loss_D_real: -0.023632 Loss_D_fake -0.001814
[858/5000][410/535][88436] Loss_D: -0.023614 Loss_G: 0.022329 Loss_D_real: -0.020011 Loss_D_fake 0.003603
[858/5000][415/535][88437] Loss_D: -0.022682 Loss_G: 0.005522 Loss_D_real: -0.013640 Loss_D_fake 0.009042
[858/5000][420/535][88438] Loss_D: -0.024607 Loss_G: -0.006174 Loss_D_real: -0.027834 Loss_D_fake -0.003228
[858/5000][425/535][88439] Loss_D: -0.022329 Loss_G: 0.028330 Loss_D_real: -0.034482 Loss_D_fake -0.012153
[858/5000][430/535][88440] Loss_D: -0.022306 Loss_G: -0.006243 Loss_D_real: -0.005440 Loss_D_fake 0.016866
[858/5000][435/535][88441] Loss_D: -0.022000 Loss_G: 0.023991 Loss_D_real: -0.027175 Loss_D_fake -0.005175
[858/5000][440/535][88442] Loss_D: -0.021425 Loss_G: 0.005279 Loss_D_real: -0.020364 Loss_D_fake 0.001061
[858/5000][445/535][88443] Loss_D: -0.022985 Loss_G: 0.002391 Loss_D_real: -0.013171 Loss_D_fake 0.009814
[858/5000][450/535][88444] Loss_D: -0.022306 Loss_G: 0.021640 Loss_D_real: -0.038644 Loss_D_fake -0.016337
[858/5000][455/535][88445] Loss_D: -0.023095 Loss_G: 0.008057 Loss_D_real: -0.019177 Loss_D_fake 0.003919
[858/5000][460/535][88446] Loss_D: -0.022727 Loss_G: 0.008968 Loss_D_real: -0.019930 Loss_D_fake 0.002797
[858/5000][465/535][88447] Loss_D: -0.022789 Loss_G: -0.006827 Loss_D_real: -0.013625 Loss_D_fake 0.009163
[858/5000][470/535][88448] Loss_D: -0.021259 Loss_G: 0.015497 Loss_D_real: -0.030174 Loss_D_fake -0.008915
[858/5000][475/535][88449] Loss_D: -0.022739 Loss_G: -0.007140 Loss_D_real: -0.010303 Loss_D_fake 0.012436
[858/5000][480/535][88450] Loss_D: -0.021323 Loss_G: 0.023811 Loss_D_real: -0.029136 Loss_D_fake -0.007813
[858/5000][485/535][88451] Loss_D: -0.022251 Loss_G: 0.016263 Loss_D_real: -0.025639 Loss_D_fake -0.003388
[858/5000][490/535][88452] Loss_D: -0.023429 Loss_G: 0.008776 Loss_D_real: -0.013587 Loss_D_fake 0.009842
[858/5000][495/535][88453] Loss_D: -0.021812 Loss_G: 0.011366 Loss_D_real: -0.024314 Loss_D_fake -0.002502
[858/5000][500/535][88454] Loss_D: -0.022111 Loss_G: -0.007099 Loss_D_real: -0.006523 Loss_D_fake 0.015588
[858/5000][505/535][88455] Loss_D: -0.023059 Loss_G: -0.008132 Loss_D_real: -0.020245 Loss_D_fake 0.002813
[858/5000][510/535][88456] Loss_D: -0.022632 Loss_G: 0.020027 Loss_D_real: -0.033408 Loss_D_fake -0.010776
[858/5000][515/535][88457] Loss_D: -0.024353 Loss_G: -0.001701 Loss_D_real: -0.006478 Loss_D_fake 0.017875
[858/5000][520/535][88458] Loss_D: -0.024009 Loss_G: 0.013550 Loss_D_real: -0.023758 Loss_D_fake 0.000251
[858/5000][525/535][88459] Loss_D: -0.022558 Loss_G: 0.013138 Loss_D_real: -0.020598 Loss_D_fake 0.001960
[858/5000][530/535][88460] Loss_D: -0.024199 Loss_G: -0.002207 Loss_D_real: -0.009872 Loss_D_fake 0.014327
[858/5000][535/535][88461] Loss_D: -0.020869 Loss_G: 0.003632 Loss_D_real: -0.014925 Loss_D_fake 0.005944
[859/5000][5/535][88462] Loss_D: -0.023509 Loss_G: 0.011283 Loss_D_real: -0.019562 Loss_D_fake 0.003948
[859/5000][10/535][88463] Loss_D: -0.024272 Loss_G: 0.006486 Loss_D_real: -0.015419 Loss_D_fake 0.008853
[859/5000][15/535][88464] Loss_D: -0.023413 Loss_G: -0.006124 Loss_D_real: -0.005819 Loss_D_fake 0.017595
[859/5000][20/535][88465] Loss_D: -0.023169 Loss_G: -0.000180 Loss_D_real: -0.014313 Loss_D_fake 0.008856
[859/5000][25/535][88466] Loss_D: -0.024958 Loss_G: 0.015987 Loss_D_real: -0.019256 Loss_D_fake 0.005701
[859/5000][30/535][88467] Loss_D: -0.022946 Loss_G: -0.014095 Loss_D_real: -0.009468 Loss_D_fake 0.013478
[859/5000][35/535][88468] Loss_D: -0.022954 Loss_G: 0.004742 Loss_D_real: -0.007585 Loss_D_fake 0.015368
[859/5000][40/535][88469] Loss_D: -0.022398 Loss_G: 0.008019 Loss_D_real: -0.019391 Loss_D_fake 0.003008
[859/5000][45/535][88470] Loss_D: -0.023942 Loss_G: 0.017014 Loss_D_real: -0.028729 Loss_D_fake -0.004787
[859/5000][50/535][88471] Loss_D: -0.021492 Loss_G: -0.015030 Loss_D_real: -0.009210 Loss_D_fake 0.012282
[859/5000][55/535][88472] Loss_D: -0.022969 Loss_G: 0.014264 Loss_D_real: -0.030983 Loss_D_fake -0.008014
[859/5000][60/535][88473] Loss_D: -0.021895 Loss_G: -0.004169 Loss_D_real: -0.004598 Loss_D_fake 0.017297
[859/5000][65/535][88474] Loss_D: -0.023103 Loss_G: 0.000970 Loss_D_real: -0.023754 Loss_D_fake -0.000650
[859/5000][70/535][88475] Loss_D: -0.022843 Loss_G: 0.006998 Loss_D_real: -0.022292 Loss_D_fake 0.000552
[859/5000][75/535][88476] Loss_D: -0.022080 Loss_G: -0.009212 Loss_D_real: -0.010358 Loss_D_fake 0.011721
[859/5000][80/535][88477] Loss_D: -0.022405 Loss_G: 0.011894 Loss_D_real: -0.017825 Loss_D_fake 0.004580
[859/5000][85/535][88478] Loss_D: -0.023885 Loss_G: 0.013183 Loss_D_real: -0.016197 Loss_D_fake 0.007688
[859/5000][90/535][88479] Loss_D: -0.023012 Loss_G: 0.008754 Loss_D_real: -0.023744 Loss_D_fake -0.000732
[859/5000][95/535][88480] Loss_D: -0.022415 Loss_G: 0.029861 Loss_D_real: -0.027172 Loss_D_fake -0.004758
[859/5000][100/535][88481] Loss_D: -0.022818 Loss_G: 0.017033 Loss_D_real: -0.019965 Loss_D_fake 0.002853
[859/5000][105/535][88482] Loss_D: -0.022915 Loss_G: 0.015061 Loss_D_real: -0.018221 Loss_D_fake 0.004695
[859/5000][110/535][88483] Loss_D: -0.022681 Loss_G: 0.011037 Loss_D_real: -0.017838 Loss_D_fake 0.004844
[859/5000][115/535][88484] Loss_D: -0.023357 Loss_G: -0.000467 Loss_D_real: -0.019731 Loss_D_fake 0.003626
[859/5000][120/535][88485] Loss_D: -0.021961 Loss_G: -0.004174 Loss_D_real: -0.007454 Loss_D_fake 0.014507
[859/5000][125/535][88486] Loss_D: -0.022337 Loss_G: -0.002662 Loss_D_real: -0.012537 Loss_D_fake 0.009800
[859/5000][130/535][88487] Loss_D: -0.023895 Loss_G: 0.013056 Loss_D_real: -0.024896 Loss_D_fake -0.001001
[859/5000][135/535][88488] Loss_D: -0.023953 Loss_G: 0.013166 Loss_D_real: -0.018987 Loss_D_fake 0.004966
[859/5000][140/535][88489] Loss_D: -0.023130 Loss_G: 0.021804 Loss_D_real: -0.022612 Loss_D_fake 0.000518
[859/5000][145/535][88490] Loss_D: -0.021656 Loss_G: 0.000262 Loss_D_real: -0.028003 Loss_D_fake -0.006347
[859/5000][150/535][88491] Loss_D: -0.022814 Loss_G: 0.026750 Loss_D_real: -0.027291 Loss_D_fake -0.004477
[859/5000][155/535][88492] Loss_D: -0.023055 Loss_G: 0.007320 Loss_D_real: -0.021050 Loss_D_fake 0.002005
[859/5000][160/535][88493] Loss_D: -0.020488 Loss_G: -0.011765 Loss_D_real: 0.006508 Loss_D_fake 0.026996
[859/5000][165/535][88494] Loss_D: -0.022431 Loss_G: 0.006619 Loss_D_real: -0.019177 Loss_D_fake 0.003254
[859/5000][170/535][88495] Loss_D: -0.022435 Loss_G: -0.001580 Loss_D_real: -0.019675 Loss_D_fake 0.002760
[859/5000][175/535][88496] Loss_D: -0.022337 Loss_G: 0.003170 Loss_D_real: -0.024262 Loss_D_fake -0.001925
[859/5000][180/535][88497] Loss_D: -0.023925 Loss_G: 0.015542 Loss_D_real: -0.008753 Loss_D_fake 0.015172
[859/5000][185/535][88498] Loss_D: -0.022911 Loss_G: -0.015806 Loss_D_real: -0.001059 Loss_D_fake 0.021853
[859/5000][190/535][88499] Loss_D: -0.022299 Loss_G: 0.020938 Loss_D_real: -0.030564 Loss_D_fake -0.008265
[859/5000][195/535][88500] Loss_D: -0.024290 Loss_G: 0.000684 Loss_D_real: -0.022001 Loss_D_fake 0.002288
[859/5000][295/535][88501] Loss_D: -0.026830 Loss_G: 0.020381 Loss_D_real: -0.033456 Loss_D_fake -0.006626
[859/5000][300/535][88502] Loss_D: -0.023592 Loss_G: 0.026112 Loss_D_real: -0.026054 Loss_D_fake -0.002462
[859/5000][305/535][88503] Loss_D: -0.021839 Loss_G: -0.000551 Loss_D_real: -0.009924 Loss_D_fake 0.011916
[859/5000][310/535][88504] Loss_D: -0.022106 Loss_G: 0.012611 Loss_D_real: -0.013918 Loss_D_fake 0.008189
[859/5000][315/535][88505] Loss_D: -0.021343 Loss_G: 0.009936 Loss_D_real: -0.024418 Loss_D_fake -0.003076
[859/5000][320/535][88506] Loss_D: -0.023062 Loss_G: 0.016393 Loss_D_real: -0.022071 Loss_D_fake 0.000991
[859/5000][325/535][88507] Loss_D: -0.020820 Loss_G: -0.003808 Loss_D_real: -0.008534 Loss_D_fake 0.012286
[859/5000][330/535][88508] Loss_D: -0.021906 Loss_G: 0.022616 Loss_D_real: -0.015999 Loss_D_fake 0.005908
[859/5000][335/535][88509] Loss_D: -0.022538 Loss_G: 0.008791 Loss_D_real: -0.027483 Loss_D_fake -0.004945
[859/5000][340/535][88510] Loss_D: -0.020747 Loss_G: 0.022846 Loss_D_real: -0.030039 Loss_D_fake -0.009292
[859/5000][345/535][88511] Loss_D: -0.023078 Loss_G: 0.009456 Loss_D_real: -0.016206 Loss_D_fake 0.006873
[859/5000][350/535][88512] Loss_D: -0.022157 Loss_G: 0.027477 Loss_D_real: -0.031086 Loss_D_fake -0.008929
[859/5000][355/535][88513] Loss_D: -0.023771 Loss_G: 0.004284 Loss_D_real: -0.012201 Loss_D_fake 0.011569
[859/5000][360/535][88514] Loss_D: -0.021156 Loss_G: 0.001961 Loss_D_real: -0.019187 Loss_D_fake 0.001969
[859/5000][365/535][88515] Loss_D: -0.022195 Loss_G: 0.025772 Loss_D_real: -0.032049 Loss_D_fake -0.009853
[859/5000][370/535][88516] Loss_D: -0.022459 Loss_G: 0.000903 Loss_D_real: -0.006345 Loss_D_fake 0.016114
[859/5000][375/535][88517] Loss_D: -0.022623 Loss_G: 0.023203 Loss_D_real: -0.032148 Loss_D_fake -0.009525
[859/5000][380/535][88518] Loss_D: -0.022373 Loss_G: -0.009857 Loss_D_real: 0.002195 Loss_D_fake 0.024568
[859/5000][385/535][88519] Loss_D: -0.023141 Loss_G: 0.006617 Loss_D_real: -0.015860 Loss_D_fake 0.007280
[859/5000][390/535][88520] Loss_D: -0.022618 Loss_G: 0.008280 Loss_D_real: -0.022579 Loss_D_fake 0.000039
[859/5000][395/535][88521] Loss_D: -0.022953 Loss_G: -0.002733 Loss_D_real: -0.008204 Loss_D_fake 0.014750
[859/5000][400/535][88522] Loss_D: -0.022467 Loss_G: 0.010001 Loss_D_real: -0.021221 Loss_D_fake 0.001246
[859/5000][405/535][88523] Loss_D: -0.022057 Loss_G: 0.000543 Loss_D_real: -0.025218 Loss_D_fake -0.003161
[859/5000][410/535][88524] Loss_D: -0.021586 Loss_G: -0.012866 Loss_D_real: 0.000002 Loss_D_fake 0.021588
[859/5000][415/535][88525] Loss_D: -0.023441 Loss_G: 0.004038 Loss_D_real: -0.019356 Loss_D_fake 0.004085
[859/5000][420/535][88526] Loss_D: -0.022731 Loss_G: -0.000701 Loss_D_real: -0.012052 Loss_D_fake 0.010680
[859/5000][425/535][88527] Loss_D: -0.024445 Loss_G: 0.020844 Loss_D_real: -0.021722 Loss_D_fake 0.002723
[859/5000][430/535][88528] Loss_D: -0.023673 Loss_G: 0.000724 Loss_D_real: -0.014573 Loss_D_fake 0.009100
[859/5000][435/535][88529] Loss_D: -0.023262 Loss_G: 0.023157 Loss_D_real: -0.031839 Loss_D_fake -0.008577
[859/5000][440/535][88530] Loss_D: -0.023140 Loss_G: 0.006284 Loss_D_real: -0.011477 Loss_D_fake 0.011663
[859/5000][445/535][88531] Loss_D: -0.023636 Loss_G: 0.021800 Loss_D_real: -0.014277 Loss_D_fake 0.009359
[859/5000][450/535][88532] Loss_D: -0.022075 Loss_G: 0.002044 Loss_D_real: -0.027808 Loss_D_fake -0.005733
[859/5000][455/535][88533] Loss_D: -0.021448 Loss_G: 0.010523 Loss_D_real: -0.014824 Loss_D_fake 0.006624
[859/5000][460/535][88534] Loss_D: -0.024051 Loss_G: -0.004374 Loss_D_real: -0.021735 Loss_D_fake 0.002316
[859/5000][465/535][88535] Loss_D: -0.022060 Loss_G: 0.015192 Loss_D_real: -0.023729 Loss_D_fake -0.001669
[859/5000][470/535][88536] Loss_D: -0.022303 Loss_G: 0.008968 Loss_D_real: -0.027990 Loss_D_fake -0.005687
[859/5000][475/535][88537] Loss_D: -0.022925 Loss_G: 0.016778 Loss_D_real: -0.024037 Loss_D_fake -0.001112
[859/5000][480/535][88538] Loss_D: -0.023999 Loss_G: 0.015137 Loss_D_real: -0.019929 Loss_D_fake 0.004070
[859/5000][485/535][88539] Loss_D: -0.022177 Loss_G: 0.014010 Loss_D_real: -0.019955 Loss_D_fake 0.002222
[859/5000][490/535][88540] Loss_D: -0.021595 Loss_G: 0.011819 Loss_D_real: -0.014251 Loss_D_fake 0.007344
[859/5000][495/535][88541] Loss_D: -0.023777 Loss_G: 0.000918 Loss_D_real: -0.015742 Loss_D_fake 0.008034
[859/5000][500/535][88542] Loss_D: -0.021922 Loss_G: 0.000909 Loss_D_real: -0.009728 Loss_D_fake 0.012194
[859/5000][505/535][88543] Loss_D: -0.023215 Loss_G: 0.006369 Loss_D_real: -0.010209 Loss_D_fake 0.013006
[859/5000][510/535][88544] Loss_D: -0.022858 Loss_G: 0.010297 Loss_D_real: -0.009883 Loss_D_fake 0.012976
[859/5000][515/535][88545] Loss_D: -0.022670 Loss_G: 0.017257 Loss_D_real: -0.030705 Loss_D_fake -0.008035
[859/5000][520/535][88546] Loss_D: -0.023236 Loss_G: -0.000800 Loss_D_real: -0.011761 Loss_D_fake 0.011474
[859/5000][525/535][88547] Loss_D: -0.022925 Loss_G: 0.009794 Loss_D_real: -0.016368 Loss_D_fake 0.006557
[859/5000][530/535][88548] Loss_D: -0.022716 Loss_G: 0.010099 Loss_D_real: -0.011367 Loss_D_fake 0.011349
[859/5000][535/535][88549] Loss_D: -0.021480 Loss_G: 0.026446 Loss_D_real: -0.014761 Loss_D_fake 0.006719
[860/5000][5/535][88550] Loss_D: -0.023823 Loss_G: -0.002373 Loss_D_real: -0.014159 Loss_D_fake 0.009664
[860/5000][10/535][88551] Loss_D: -0.021015 Loss_G: 0.021973 Loss_D_real: -0.036004 Loss_D_fake -0.014989
[860/5000][15/535][88552] Loss_D: -0.022440 Loss_G: -0.001620 Loss_D_real: -0.011982 Loss_D_fake 0.010458
[860/5000][20/535][88553] Loss_D: -0.023186 Loss_G: -0.006402 Loss_D_real: -0.016115 Loss_D_fake 0.007071
[860/5000][25/535][88554] Loss_D: -0.022865 Loss_G: 0.020126 Loss_D_real: -0.032036 Loss_D_fake -0.009171
[860/5000][30/535][88555] Loss_D: -0.024287 Loss_G: 0.012968 Loss_D_real: -0.020715 Loss_D_fake 0.003572
[860/5000][35/535][88556] Loss_D: -0.023177 Loss_G: 0.005121 Loss_D_real: -0.004461 Loss_D_fake 0.018716
[860/5000][40/535][88557] Loss_D: -0.023188 Loss_G: 0.015477 Loss_D_real: -0.020223 Loss_D_fake 0.002966
[860/5000][45/535][88558] Loss_D: -0.023834 Loss_G: 0.017390 Loss_D_real: -0.021729 Loss_D_fake 0.002105
[860/5000][50/535][88559] Loss_D: -0.024414 Loss_G: -0.004632 Loss_D_real: -0.009862 Loss_D_fake 0.014552
[860/5000][55/535][88560] Loss_D: -0.023484 Loss_G: 0.030648 Loss_D_real: -0.025968 Loss_D_fake -0.002484
[860/5000][60/535][88561] Loss_D: -0.022383 Loss_G: -0.009871 Loss_D_real: -0.002528 Loss_D_fake 0.019855
[860/5000][65/535][88562] Loss_D: -0.024135 Loss_G: 0.014979 Loss_D_real: -0.021082 Loss_D_fake 0.003053
[860/5000][70/535][88563] Loss_D: -0.022292 Loss_G: -0.005627 Loss_D_real: 0.008130 Loss_D_fake 0.030423
[860/5000][75/535][88564] Loss_D: -0.020792 Loss_G: 0.002234 Loss_D_real: -0.001132 Loss_D_fake 0.019660
[860/5000][80/535][88565] Loss_D: -0.022230 Loss_G: 0.014340 Loss_D_real: -0.024149 Loss_D_fake -0.001919
[860/5000][85/535][88566] Loss_D: -0.024077 Loss_G: 0.007584 Loss_D_real: -0.029147 Loss_D_fake -0.005071
[860/5000][90/535][88567] Loss_D: -0.023890 Loss_G: -0.003009 Loss_D_real: -0.008232 Loss_D_fake 0.015659
[860/5000][95/535][88568] Loss_D: -0.022913 Loss_G: -0.003186 Loss_D_real: 0.001254 Loss_D_fake 0.024167
[860/5000][100/535][88569] Loss_D: -0.022158 Loss_G: 0.015309 Loss_D_real: -0.023019 Loss_D_fake -0.000861
[860/5000][105/535][88570] Loss_D: -0.022573 Loss_G: 0.011139 Loss_D_real: -0.025172 Loss_D_fake -0.002599
[860/5000][110/535][88571] Loss_D: -0.023383 Loss_G: 0.012196 Loss_D_real: -0.021007 Loss_D_fake 0.002377
[860/5000][115/535][88572] Loss_D: -0.022463 Loss_G: 0.002164 Loss_D_real: -0.016518 Loss_D_fake 0.005945
[860/5000][120/535][88573] Loss_D: -0.022157 Loss_G: 0.004969 Loss_D_real: -0.012315 Loss_D_fake 0.009842
[860/5000][125/535][88574] Loss_D: -0.022448 Loss_G: -0.000060 Loss_D_real: -0.020262 Loss_D_fake 0.002186
[860/5000][130/535][88575] Loss_D: -0.021504 Loss_G: 0.023706 Loss_D_real: -0.028442 Loss_D_fake -0.006938
[860/5000][135/535][88576] Loss_D: -0.022258 Loss_G: -0.011723 Loss_D_real: -0.009914 Loss_D_fake 0.012344
[860/5000][140/535][88577] Loss_D: -0.021709 Loss_G: 0.016963 Loss_D_real: -0.013729 Loss_D_fake 0.007980
[860/5000][145/535][88578] Loss_D: -0.022693 Loss_G: -0.002792 Loss_D_real: -0.014237 Loss_D_fake 0.008456
[860/5000][150/535][88579] Loss_D: -0.022387 Loss_G: 0.018535 Loss_D_real: -0.025833 Loss_D_fake -0.003446
[860/5000][155/535][88580] Loss_D: -0.022497 Loss_G: 0.016119 Loss_D_real: -0.027321 Loss_D_fake -0.004824
[860/5000][160/535][88581] Loss_D: -0.021949 Loss_G: 0.023007 Loss_D_real: -0.033671 Loss_D_fake -0.011721
[860/5000][165/535][88582] Loss_D: -0.024771 Loss_G: -0.003993 Loss_D_real: -0.015693 Loss_D_fake 0.009077
[860/5000][170/535][88583] Loss_D: -0.023178 Loss_G: 0.000085 Loss_D_real: -0.018322 Loss_D_fake 0.004856
[860/5000][175/535][88584] Loss_D: -0.023213 Loss_G: 0.025402 Loss_D_real: -0.031751 Loss_D_fake -0.008538
[860/5000][180/535][88585] Loss_D: -0.022420 Loss_G: 0.014938 Loss_D_real: -0.016214 Loss_D_fake 0.006205
[860/5000][185/535][88586] Loss_D: -0.022993 Loss_G: 0.006360 Loss_D_real: -0.019472 Loss_D_fake 0.003521
[860/5000][190/535][88587] Loss_D: -0.022589 Loss_G: 0.027595 Loss_D_real: -0.027793 Loss_D_fake -0.005204
[860/5000][195/535][88588] Loss_D: -0.024113 Loss_G: 0.011277 Loss_D_real: -0.021793 Loss_D_fake 0.002320
[860/5000][200/535][88589] Loss_D: -0.020818 Loss_G: 0.008491 Loss_D_real: -0.010259 Loss_D_fake 0.010558
[860/5000][205/535][88590] Loss_D: -0.022615 Loss_G: -0.005110 Loss_D_real: -0.006860 Loss_D_fake 0.015755
[860/5000][210/535][88591] Loss_D: -0.021419 Loss_G: -0.010179 Loss_D_real: -0.010854 Loss_D_fake 0.010565
[860/5000][215/535][88592] Loss_D: -0.022274 Loss_G: 0.017733 Loss_D_real: -0.027760 Loss_D_fake -0.005486
[860/5000][220/535][88593] Loss_D: -0.022864 Loss_G: 0.001988 Loss_D_real: -0.010586 Loss_D_fake 0.012278
[860/5000][225/535][88594] Loss_D: -0.022095 Loss_G: -0.019458 Loss_D_real: -0.006204 Loss_D_fake 0.015892
[860/5000][230/535][88595] Loss_D: -0.023479 Loss_G: 0.007422 Loss_D_real: -0.013332 Loss_D_fake 0.010147
[860/5000][235/535][88596] Loss_D: -0.023646 Loss_G: 0.004224 Loss_D_real: -0.006804 Loss_D_fake 0.016842
[860/5000][240/535][88597] Loss_D: -0.022534 Loss_G: 0.000608 Loss_D_real: -0.012374 Loss_D_fake 0.010161
[860/5000][245/535][88598] Loss_D: -0.022945 Loss_G: -0.012089 Loss_D_real: -0.010075 Loss_D_fake 0.012869
[860/5000][250/535][88599] Loss_D: -0.022480 Loss_G: -0.007478 Loss_D_real: -0.000702 Loss_D_fake 0.021778
[860/5000][255/535][88600] Loss_D: -0.023117 Loss_G: 0.017883 Loss_D_real: -0.023041 Loss_D_fake 0.000076
[860/5000][260/535][88601] Loss_D: -0.022186 Loss_G: 0.000186 Loss_D_real: -0.027072 Loss_D_fake -0.004886
[860/5000][265/535][88602] Loss_D: -0.023833 Loss_G: 0.018158 Loss_D_real: -0.038861 Loss_D_fake -0.015028
[860/5000][270/535][88603] Loss_D: -0.023998 Loss_G: 0.009708 Loss_D_real: -0.012124 Loss_D_fake 0.011874
[860/5000][275/535][88604] Loss_D: -0.024095 Loss_G: 0.007093 Loss_D_real: -0.009805 Loss_D_fake 0.014290
[860/5000][280/535][88605] Loss_D: -0.022505 Loss_G: 0.000448 Loss_D_real: -0.011190 Loss_D_fake 0.011315
[860/5000][285/535][88606] Loss_D: -0.022719 Loss_G: 0.026142 Loss_D_real: -0.022457 Loss_D_fake 0.000262
[860/5000][290/535][88607] Loss_D: -0.022745 Loss_G: 0.022533 Loss_D_real: -0.028232 Loss_D_fake -0.005487
[860/5000][295/535][88608] Loss_D: -0.023407 Loss_G: 0.005252 Loss_D_real: -0.013097 Loss_D_fake 0.010311
[860/5000][300/535][88609] Loss_D: -0.024224 Loss_G: 0.020576 Loss_D_real: -0.012852 Loss_D_fake 0.011371
[860/5000][305/535][88610] Loss_D: -0.022905 Loss_G: 0.008192 Loss_D_real: -0.022014 Loss_D_fake 0.000891
[860/5000][310/535][88611] Loss_D: -0.023975 Loss_G: 0.011652 Loss_D_real: -0.025719 Loss_D_fake -0.001744
[860/5000][315/535][88612] Loss_D: -0.023072 Loss_G: 0.022982 Loss_D_real: -0.023635 Loss_D_fake -0.000564
[860/5000][320/535][88613] Loss_D: -0.022479 Loss_G: 0.010404 Loss_D_real: -0.013361 Loss_D_fake 0.009118
[860/5000][325/535][88614] Loss_D: -0.023835 Loss_G: -0.002606 Loss_D_real: -0.016234 Loss_D_fake 0.007601
[860/5000][330/535][88615] Loss_D: -0.023715 Loss_G: 0.001997 Loss_D_real: -0.019004 Loss_D_fake 0.004711
[860/5000][335/535][88616] Loss_D: -0.021891 Loss_G: 0.020512 Loss_D_real: -0.032322 Loss_D_fake -0.010431
[860/5000][340/535][88617] Loss_D: -0.023234 Loss_G: -0.009414 Loss_D_real: -0.005233 Loss_D_fake 0.018002
[860/5000][345/535][88618] Loss_D: -0.022159 Loss_G: 0.013974 Loss_D_real: -0.023310 Loss_D_fake -0.001152
[860/5000][350/535][88619] Loss_D: -0.023767 Loss_G: 0.006201 Loss_D_real: -0.013281 Loss_D_fake 0.010486
[860/5000][355/535][88620] Loss_D: -0.022324 Loss_G: 0.005938 Loss_D_real: -0.021571 Loss_D_fake 0.000753
[860/5000][360/535][88621] Loss_D: -0.023610 Loss_G: -0.009280 Loss_D_real: -0.009909 Loss_D_fake 0.013700
[860/5000][365/535][88622] Loss_D: -0.022835 Loss_G: 0.010691 Loss_D_real: -0.023205 Loss_D_fake -0.000371
[860/5000][370/535][88623] Loss_D: -0.024263 Loss_G: 0.014242 Loss_D_real: -0.017024 Loss_D_fake 0.007239
[860/5000][375/535][88624] Loss_D: -0.023453 Loss_G: 0.008295 Loss_D_real: -0.021335 Loss_D_fake 0.002118
[860/5000][380/535][88625] Loss_D: -0.022061 Loss_G: 0.018717 Loss_D_real: -0.025059 Loss_D_fake -0.002998
[860/5000][385/535][88626] Loss_D: -0.023188 Loss_G: -0.014883 Loss_D_real: -0.002649 Loss_D_fake 0.020539
[860/5000][390/535][88627] Loss_D: -0.022786 Loss_G: 0.005170 Loss_D_real: -0.025661 Loss_D_fake -0.002876
[860/5000][395/535][88628] Loss_D: -0.021980 Loss_G: 0.009076 Loss_D_real: -0.013474 Loss_D_fake 0.008506
[860/5000][400/535][88629] Loss_D: -0.023089 Loss_G: 0.012151 Loss_D_real: -0.020435 Loss_D_fake 0.002654
[860/5000][405/535][88630] Loss_D: -0.022828 Loss_G: 0.001489 Loss_D_real: -0.011907 Loss_D_fake 0.010921
[860/5000][410/535][88631] Loss_D: -0.019623 Loss_G: 0.031403 Loss_D_real: -0.038264 Loss_D_fake -0.018641
[860/5000][415/535][88632] Loss_D: -0.022493 Loss_G: 0.000576 Loss_D_real: -0.017113 Loss_D_fake 0.005381
[860/5000][420/535][88633] Loss_D: -0.022406 Loss_G: 0.023150 Loss_D_real: -0.025882 Loss_D_fake -0.003477
[860/5000][425/535][88634] Loss_D: -0.022621 Loss_G: 0.001580 Loss_D_real: -0.008971 Loss_D_fake 0.013650
[860/5000][430/535][88635] Loss_D: -0.021716 Loss_G: 0.026638 Loss_D_real: -0.027022 Loss_D_fake -0.005306
[860/5000][435/535][88636] Loss_D: -0.022699 Loss_G: 0.001988 Loss_D_real: -0.015387 Loss_D_fake 0.007312
[860/5000][440/535][88637] Loss_D: -0.021488 Loss_G: 0.009870 Loss_D_real: -0.021977 Loss_D_fake -0.000489
[860/5000][445/535][88638] Loss_D: -0.023885 Loss_G: 0.018491 Loss_D_real: -0.026437 Loss_D_fake -0.002552
[860/5000][450/535][88639] Loss_D: -0.023903 Loss_G: 0.004403 Loss_D_real: -0.013593 Loss_D_fake 0.010310
[860/5000][455/535][88640] Loss_D: -0.021421 Loss_G: 0.011604 Loss_D_real: -0.022472 Loss_D_fake -0.001051
[860/5000][460/535][88641] Loss_D: -0.023226 Loss_G: 0.002553 Loss_D_real: -0.008207 Loss_D_fake 0.015019
[860/5000][465/535][88642] Loss_D: -0.022350 Loss_G: -0.000994 Loss_D_real: -0.013119 Loss_D_fake 0.009231
[860/5000][470/535][88643] Loss_D: -0.019694 Loss_G: 0.025571 Loss_D_real: -0.040029 Loss_D_fake -0.020335
[860/5000][475/535][88644] Loss_D: -0.021442 Loss_G: 0.012955 Loss_D_real: -0.023117 Loss_D_fake -0.001675
[860/5000][480/535][88645] Loss_D: -0.023529 Loss_G: 0.020456 Loss_D_real: -0.027280 Loss_D_fake -0.003751
[860/5000][485/535][88646] Loss_D: -0.023512 Loss_G: 0.000357 Loss_D_real: -0.007193 Loss_D_fake 0.016319
[860/5000][490/535][88647] Loss_D: -0.022769 Loss_G: 0.014041 Loss_D_real: -0.022830 Loss_D_fake -0.000060
[860/5000][495/535][88648] Loss_D: -0.024514 Loss_G: -0.002945 Loss_D_real: -0.009506 Loss_D_fake 0.015008
[860/5000][500/535][88649] Loss_D: -0.021359 Loss_G: 0.020592 Loss_D_real: -0.031398 Loss_D_fake -0.010039
[860/5000][505/535][88650] Loss_D: -0.024853 Loss_G: 0.012646 Loss_D_real: -0.021856 Loss_D_fake 0.002997
[860/5000][510/535][88651] Loss_D: -0.022389 Loss_G: 0.012978 Loss_D_real: -0.027277 Loss_D_fake -0.004888
[860/5000][515/535][88652] Loss_D: -0.022959 Loss_G: 0.003553 Loss_D_real: -0.014433 Loss_D_fake 0.008526
[860/5000][520/535][88653] Loss_D: -0.021936 Loss_G: -0.008856 Loss_D_real: -0.013278 Loss_D_fake 0.008658
[860/5000][525/535][88654] Loss_D: -0.023095 Loss_G: 0.010477 Loss_D_real: -0.016512 Loss_D_fake 0.006583
[860/5000][530/535][88655] Loss_D: -0.022341 Loss_G: -0.008475 Loss_D_real: 0.000917 Loss_D_fake 0.023257
[860/5000][535/535][88656] Loss_D: -0.021015 Loss_G: 0.030695 Loss_D_real: -0.026319 Loss_D_fake -0.005304
[861/5000][5/535][88657] Loss_D: -0.023133 Loss_G: 0.011972 Loss_D_real: -0.031387 Loss_D_fake -0.008254
[861/5000][10/535][88658] Loss_D: -0.022436 Loss_G: 0.026605 Loss_D_real: -0.028051 Loss_D_fake -0.005614
[861/5000][15/535][88659] Loss_D: -0.023739 Loss_G: 0.015890 Loss_D_real: -0.028227 Loss_D_fake -0.004488
[861/5000][20/535][88660] Loss_D: -0.022703 Loss_G: 0.015302 Loss_D_real: -0.027854 Loss_D_fake -0.005150
[861/5000][25/535][88661] Loss_D: -0.023704 Loss_G: 0.019380 Loss_D_real: -0.025999 Loss_D_fake -0.002295
[861/5000][30/535][88662] Loss_D: -0.022862 Loss_G: -0.002493 Loss_D_real: -0.016349 Loss_D_fake 0.006513
[861/5000][35/535][88663] Loss_D: -0.022355 Loss_G: 0.018441 Loss_D_real: -0.018457 Loss_D_fake 0.003898
[861/5000][40/535][88664] Loss_D: -0.024551 Loss_G: 0.014671 Loss_D_real: -0.020728 Loss_D_fake 0.003822
[861/5000][45/535][88665] Loss_D: -0.023717 Loss_G: 0.002932 Loss_D_real: -0.022326 Loss_D_fake 0.001391
[861/5000][50/535][88666] Loss_D: -0.022748 Loss_G: 0.004847 Loss_D_real: -0.010725 Loss_D_fake 0.012024
[861/5000][55/535][88667] Loss_D: -0.023971 Loss_G: 0.022026 Loss_D_real: -0.025011 Loss_D_fake -0.001040
[861/5000][60/535][88668] Loss_D: -0.023487 Loss_G: -0.005575 Loss_D_real: -0.007816 Loss_D_fake 0.015671
[861/5000][65/535][88669] Loss_D: -0.024036 Loss_G: 0.010365 Loss_D_real: -0.020191 Loss_D_fake 0.003845
[861/5000][70/535][88670] Loss_D: -0.023906 Loss_G: 0.010064 Loss_D_real: -0.016714 Loss_D_fake 0.007191
[861/5000][75/535][88671] Loss_D: -0.023105 Loss_G: 0.015850 Loss_D_real: -0.018006 Loss_D_fake 0.005099
[861/5000][80/535][88672] Loss_D: -0.022718 Loss_G: -0.008643 Loss_D_real: -0.006083 Loss_D_fake 0.016635
[861/5000][85/535][88673] Loss_D: -0.023007 Loss_G: 0.002012 Loss_D_real: -0.017198 Loss_D_fake 0.005810
[861/5000][90/535][88674] Loss_D: -0.023746 Loss_G: 0.022379 Loss_D_real: -0.020423 Loss_D_fake 0.003323
[861/5000][95/535][88675] Loss_D: -0.022743 Loss_G: -0.000445 Loss_D_real: -0.014745 Loss_D_fake 0.007998
[861/5000][100/535][88676] Loss_D: -0.022996 Loss_G: 0.011644 Loss_D_real: -0.019608 Loss_D_fake 0.003388
[861/5000][105/535][88677] Loss_D: -0.023035 Loss_G: 0.013483 Loss_D_real: -0.019472 Loss_D_fake 0.003563
[861/5000][110/535][88678] Loss_D: -0.023406 Loss_G: 0.005150 Loss_D_real: -0.020979 Loss_D_fake 0.002427
[861/5000][115/535][88679] Loss_D: -0.023027 Loss_G: -0.005077 Loss_D_real: -0.005972 Loss_D_fake 0.017054
[861/5000][120/535][88680] Loss_D: -0.020062 Loss_G: 0.027962 Loss_D_real: -0.039019 Loss_D_fake -0.018957
[861/5000][125/535][88681] Loss_D: -0.021651 Loss_G: 0.005235 Loss_D_real: -0.018582 Loss_D_fake 0.003070
[861/5000][130/535][88682] Loss_D: -0.023733 Loss_G: -0.001954 Loss_D_real: -0.009990 Loss_D_fake 0.013743
[861/5000][135/535][88683] Loss_D: -0.022499 Loss_G: 0.009928 Loss_D_real: -0.015995 Loss_D_fake 0.006504
[861/5000][140/535][88684] Loss_D: -0.022556 Loss_G: -0.006839 Loss_D_real: -0.007902 Loss_D_fake 0.014655
[861/5000][145/535][88685] Loss_D: -0.021940 Loss_G: 0.016893 Loss_D_real: -0.028293 Loss_D_fake -0.006353
[861/5000][150/535][88686] Loss_D: -0.023964 Loss_G: 0.016195 Loss_D_real: -0.023504 Loss_D_fake 0.000460
[861/5000][155/535][88687] Loss_D: -0.022989 Loss_G: 0.009335 Loss_D_real: -0.023586 Loss_D_fake -0.000597
[861/5000][160/535][88688] Loss_D: -0.022564 Loss_G: 0.016414 Loss_D_real: -0.029136 Loss_D_fake -0.006572
[861/5000][165/535][88689] Loss_D: -0.022117 Loss_G: 0.001671 Loss_D_real: -0.007403 Loss_D_fake 0.014715
[861/5000][170/535][88690] Loss_D: -0.021263 Loss_G: 0.008267 Loss_D_real: -0.018279 Loss_D_fake 0.002984
[861/5000][175/535][88691] Loss_D: -0.022490 Loss_G: 0.019550 Loss_D_real: -0.022262 Loss_D_fake 0.000228
[861/5000][180/535][88692] Loss_D: -0.023205 Loss_G: -0.007605 Loss_D_real: -0.010160 Loss_D_fake 0.013045
[861/5000][185/535][88693] Loss_D: -0.023086 Loss_G: 0.024456 Loss_D_real: -0.020359 Loss_D_fake 0.002727
[861/5000][190/535][88694] Loss_D: -0.023614 Loss_G: 0.001779 Loss_D_real: -0.023646 Loss_D_fake -0.000032
[861/5000][195/535][88695] Loss_D: -0.023216 Loss_G: 0.008694 Loss_D_real: -0.014038 Loss_D_fake 0.009178
[861/5000][200/535][88696] Loss_D: -0.022657 Loss_G: -0.007996 Loss_D_real: -0.004714 Loss_D_fake 0.017943
[861/5000][205/535][88697] Loss_D: -0.023026 Loss_G: 0.000945 Loss_D_real: -0.013676 Loss_D_fake 0.009350
[861/5000][210/535][88698] Loss_D: -0.021486 Loss_G: 0.010958 Loss_D_real: -0.009142 Loss_D_fake 0.012344
[861/5000][215/535][88699] Loss_D: -0.022325 Loss_G: -0.015256 Loss_D_real: -0.007919 Loss_D_fake 0.014405
[861/5000][220/535][88700] Loss_D: -0.023082 Loss_G: -0.001575 Loss_D_real: -0.014045 Loss_D_fake 0.009036
[861/5000][225/535][88701] Loss_D: -0.022247 Loss_G: 0.020323 Loss_D_real: -0.025467 Loss_D_fake -0.003220
[861/5000][230/535][88702] Loss_D: -0.023254 Loss_G: 0.019699 Loss_D_real: -0.022971 Loss_D_fake 0.000284
[861/5000][235/535][88703] Loss_D: -0.023475 Loss_G: 0.023345 Loss_D_real: -0.037504 Loss_D_fake -0.014029
[861/5000][240/535][88704] Loss_D: -0.022651 Loss_G: 0.015127 Loss_D_real: -0.017501 Loss_D_fake 0.005150
[861/5000][245/535][88705] Loss_D: -0.023278 Loss_G: 0.000956 Loss_D_real: -0.010314 Loss_D_fake 0.012965
[861/5000][250/535][88706] Loss_D: -0.023304 Loss_G: 0.013817 Loss_D_real: -0.023125 Loss_D_fake 0.000179
[861/5000][255/535][88707] Loss_D: -0.023149 Loss_G: -0.001880 Loss_D_real: -0.001897 Loss_D_fake 0.021253
[861/5000][260/535][88708] Loss_D: -0.023249 Loss_G: 0.008966 Loss_D_real: -0.013460 Loss_D_fake 0.009789
[861/5000][265/535][88709] Loss_D: -0.023781 Loss_G: 0.000085 Loss_D_real: -0.010029 Loss_D_fake 0.013752
[861/5000][270/535][88710] Loss_D: -0.024300 Loss_G: 0.018734 Loss_D_real: -0.029441 Loss_D_fake -0.005141
[861/5000][275/535][88711] Loss_D: -0.024265 Loss_G: 0.023113 Loss_D_real: -0.016716 Loss_D_fake 0.007548
[861/5000][280/535][88712] Loss_D: -0.022435 Loss_G: 0.019081 Loss_D_real: -0.027041 Loss_D_fake -0.004606
[861/5000][285/535][88713] Loss_D: -0.021998 Loss_G: 0.026891 Loss_D_real: -0.032941 Loss_D_fake -0.010943
[861/5000][290/535][88714] Loss_D: -0.023081 Loss_G: 0.005354 Loss_D_real: -0.012506 Loss_D_fake 0.010575
[861/5000][295/535][88715] Loss_D: -0.023168 Loss_G: -0.005695 Loss_D_real: -0.023657 Loss_D_fake -0.000489
[861/5000][300/535][88716] Loss_D: -0.022787 Loss_G: -0.000142 Loss_D_real: -0.018440 Loss_D_fake 0.004347
[861/5000][305/535][88717] Loss_D: -0.022741 Loss_G: 0.016037 Loss_D_real: -0.020195 Loss_D_fake 0.002546
[861/5000][310/535][88718] Loss_D: -0.021486 Loss_G: 0.013037 Loss_D_real: -0.032133 Loss_D_fake -0.010647
[861/5000][315/535][88719] Loss_D: -0.021301 Loss_G: 0.031435 Loss_D_real: -0.032648 Loss_D_fake -0.011347
[861/5000][320/535][88720] Loss_D: -0.022920 Loss_G: -0.001551 Loss_D_real: -0.020778 Loss_D_fake 0.002142
[861/5000][325/535][88721] Loss_D: -0.022956 Loss_G: -0.006109 Loss_D_real: -0.013476 Loss_D_fake 0.009480
[861/5000][330/535][88722] Loss_D: -0.022668 Loss_G: -0.013211 Loss_D_real: 0.000114 Loss_D_fake 0.022782
[861/5000][335/535][88723] Loss_D: -0.023739 Loss_G: 0.012803 Loss_D_real: -0.011290 Loss_D_fake 0.012449
[861/5000][340/535][88724] Loss_D: -0.021462 Loss_G: 0.023752 Loss_D_real: -0.036342 Loss_D_fake -0.014880
[861/5000][345/535][88725] Loss_D: -0.022535 Loss_G: 0.007557 Loss_D_real: -0.015399 Loss_D_fake 0.007137
[861/5000][350/535][88726] Loss_D: -0.021114 Loss_G: 0.020127 Loss_D_real: -0.030552 Loss_D_fake -0.009438
[861/5000][355/535][88727] Loss_D: -0.022287 Loss_G: 0.004826 Loss_D_real: -0.015473 Loss_D_fake 0.006814
[861/5000][360/535][88728] Loss_D: -0.023082 Loss_G: -0.007333 Loss_D_real: -0.008219 Loss_D_fake 0.014863
[861/5000][365/535][88729] Loss_D: -0.022812 Loss_G: 0.010934 Loss_D_real: -0.009483 Loss_D_fake 0.013330
[861/5000][370/535][88730] Loss_D: -0.023029 Loss_G: -0.000331 Loss_D_real: -0.016078 Loss_D_fake 0.006951
[861/5000][375/535][88731] Loss_D: -0.022080 Loss_G: 0.017530 Loss_D_real: -0.025681 Loss_D_fake -0.003600
[861/5000][380/535][88732] Loss_D: -0.022440 Loss_G: -0.013050 Loss_D_real: -0.004330 Loss_D_fake 0.018111
[861/5000][385/535][88733] Loss_D: -0.020916 Loss_G: 0.010909 Loss_D_real: -0.021508 Loss_D_fake -0.000592
[861/5000][390/535][88734] Loss_D: -0.022563 Loss_G: 0.017654 Loss_D_real: -0.013522 Loss_D_fake 0.009041
[861/5000][395/535][88735] Loss_D: -0.021524 Loss_G: 0.024782 Loss_D_real: -0.036029 Loss_D_fake -0.014505
[861/5000][400/535][88736] Loss_D: -0.022585 Loss_G: 0.006617 Loss_D_real: -0.024979 Loss_D_fake -0.002394
[861/5000][405/535][88737] Loss_D: -0.023891 Loss_G: -0.006883 Loss_D_real: -0.019500 Loss_D_fake 0.004391
[861/5000][410/535][88738] Loss_D: -0.022415 Loss_G: 0.007269 Loss_D_real: -0.017649 Loss_D_fake 0.004766
[861/5000][415/535][88739] Loss_D: -0.022406 Loss_G: 0.010518 Loss_D_real: -0.021404 Loss_D_fake 0.001002
[861/5000][420/535][88740] Loss_D: -0.023206 Loss_G: 0.012239 Loss_D_real: -0.011520 Loss_D_fake 0.011687
[861/5000][425/535][88741] Loss_D: -0.023810 Loss_G: -0.001923 Loss_D_real: -0.006869 Loss_D_fake 0.016941
[861/5000][430/535][88742] Loss_D: -0.023398 Loss_G: 0.007672 Loss_D_real: -0.018205 Loss_D_fake 0.005193
[861/5000][435/535][88743] Loss_D: -0.023101 Loss_G: 0.002706 Loss_D_real: -0.010037 Loss_D_fake 0.013064
[861/5000][440/535][88744] Loss_D: -0.022082 Loss_G: 0.018261 Loss_D_real: -0.025710 Loss_D_fake -0.003628
[861/5000][445/535][88745] Loss_D: -0.020808 Loss_G: 0.024437 Loss_D_real: -0.033054 Loss_D_fake -0.012245
[861/5000][450/535][88746] Loss_D: -0.024233 Loss_G: -0.005881 Loss_D_real: -0.017953 Loss_D_fake 0.006279
[861/5000][455/535][88747] Loss_D: -0.021627 Loss_G: -0.006304 Loss_D_real: -0.005164 Loss_D_fake 0.016463
[861/5000][460/535][88748] Loss_D: -0.023444 Loss_G: 0.015609 Loss_D_real: -0.017175 Loss_D_fake 0.006269
[861/5000][465/535][88749] Loss_D: -0.022708 Loss_G: 0.008032 Loss_D_real: -0.023415 Loss_D_fake -0.000707
[861/5000][470/535][88750] Loss_D: -0.023026 Loss_G: 0.013375 Loss_D_real: -0.020766 Loss_D_fake 0.002260
[861/5000][475/535][88751] Loss_D: -0.023320 Loss_G: 0.011201 Loss_D_real: -0.024438 Loss_D_fake -0.001119
[861/5000][480/535][88752] Loss_D: -0.023379 Loss_G: 0.009630 Loss_D_real: -0.014096 Loss_D_fake 0.009283
[861/5000][485/535][88753] Loss_D: -0.022311 Loss_G: 0.009631 Loss_D_real: -0.029298 Loss_D_fake -0.006987
[861/5000][490/535][88754] Loss_D: -0.021911 Loss_G: 0.010841 Loss_D_real: -0.028626 Loss_D_fake -0.006714
[861/5000][495/535][88755] Loss_D: -0.024769 Loss_G: -0.005159 Loss_D_real: -0.005197 Loss_D_fake 0.019572
[861/5000][500/535][88756] Loss_D: -0.022228 Loss_G: -0.000239 Loss_D_real: -0.009034 Loss_D_fake 0.013194
[861/5000][505/535][88757] Loss_D: -0.021629 Loss_G: 0.026303 Loss_D_real: -0.033514 Loss_D_fake -0.011885
[861/5000][510/535][88758] Loss_D: -0.022964 Loss_G: 0.011481 Loss_D_real: -0.024387 Loss_D_fake -0.001424
[861/5000][515/535][88759] Loss_D: -0.023439 Loss_G: -0.003513 Loss_D_real: -0.018887 Loss_D_fake 0.004553
[861/5000][520/535][88760] Loss_D: -0.022348 Loss_G: 0.009191 Loss_D_real: -0.022496 Loss_D_fake -0.000148
[861/5000][525/535][88761] Loss_D: -0.022917 Loss_G: 0.018821 Loss_D_real: -0.026283 Loss_D_fake -0.003366
[861/5000][530/535][88762] Loss_D: -0.024126 Loss_G: 0.012293 Loss_D_real: -0.017273 Loss_D_fake 0.006852
[861/5000][535/535][88763] Loss_D: -0.025309 Loss_G: 0.024470 Loss_D_real: -0.018268 Loss_D_fake 0.007041
[862/5000][5/535][88764] Loss_D: -0.022852 Loss_G: 0.014130 Loss_D_real: -0.023983 Loss_D_fake -0.001130
[862/5000][10/535][88765] Loss_D: -0.024332 Loss_G: 0.016463 Loss_D_real: -0.027195 Loss_D_fake -0.002863
[862/5000][15/535][88766] Loss_D: -0.021204 Loss_G: -0.011578 Loss_D_real: -0.015605 Loss_D_fake 0.005599
[862/5000][20/535][88767] Loss_D: -0.022417 Loss_G: 0.015557 Loss_D_real: -0.015694 Loss_D_fake 0.006723
[862/5000][25/535][88768] Loss_D: -0.022918 Loss_G: 0.004207 Loss_D_real: -0.021201 Loss_D_fake 0.001717
[862/5000][30/535][88769] Loss_D: -0.020942 Loss_G: 0.028124 Loss_D_real: -0.037382 Loss_D_fake -0.016439
[862/5000][35/535][88770] Loss_D: -0.023126 Loss_G: 0.007404 Loss_D_real: -0.019737 Loss_D_fake 0.003389
[862/5000][40/535][88771] Loss_D: -0.022158 Loss_G: 0.010942 Loss_D_real: -0.029918 Loss_D_fake -0.007760
[862/5000][45/535][88772] Loss_D: -0.020993 Loss_G: 0.012512 Loss_D_real: -0.022518 Loss_D_fake -0.001525
[862/5000][50/535][88773] Loss_D: -0.022530 Loss_G: 0.010569 Loss_D_real: -0.021347 Loss_D_fake 0.001183
[862/5000][55/535][88774] Loss_D: -0.022945 Loss_G: 0.017108 Loss_D_real: -0.021933 Loss_D_fake 0.001012
[862/5000][60/535][88775] Loss_D: -0.024200 Loss_G: 0.019421 Loss_D_real: -0.015863 Loss_D_fake 0.008338
[862/5000][65/535][88776] Loss_D: -0.021276 Loss_G: -0.016976 Loss_D_real: -0.000306 Loss_D_fake 0.020970
[862/5000][70/535][88777] Loss_D: -0.022684 Loss_G: 0.020530 Loss_D_real: -0.021769 Loss_D_fake 0.000915
[862/5000][75/535][88778] Loss_D: -0.022586 Loss_G: 0.005157 Loss_D_real: -0.014459 Loss_D_fake 0.008127
[862/5000][80/535][88779] Loss_D: -0.023030 Loss_G: 0.022060 Loss_D_real: -0.025017 Loss_D_fake -0.001987
[862/5000][85/535][88780] Loss_D: -0.023521 Loss_G: 0.023832 Loss_D_real: -0.022060 Loss_D_fake 0.001462
[862/5000][90/535][88781] Loss_D: -0.024643 Loss_G: 0.000825 Loss_D_real: -0.009868 Loss_D_fake 0.014775
[862/5000][95/535][88782] Loss_D: -0.022876 Loss_G: 0.013857 Loss_D_real: -0.016568 Loss_D_fake 0.006308
[862/5000][100/535][88783] Loss_D: -0.023206 Loss_G: -0.019534 Loss_D_real: 0.007204 Loss_D_fake 0.030410
[862/5000][105/535][88784] Loss_D: -0.022087 Loss_G: 0.005434 Loss_D_real: -0.028397 Loss_D_fake -0.006310
[862/5000][110/535][88785] Loss_D: -0.023459 Loss_G: 0.004090 Loss_D_real: -0.019741 Loss_D_fake 0.003717
[862/5000][115/535][88786] Loss_D: -0.023377 Loss_G: 0.014201 Loss_D_real: -0.018465 Loss_D_fake 0.004912
[862/5000][120/535][88787] Loss_D: -0.023606 Loss_G: 0.008111 Loss_D_real: -0.018110 Loss_D_fake 0.005495
[862/5000][125/535][88788] Loss_D: -0.023097 Loss_G: 0.014977 Loss_D_real: -0.023801 Loss_D_fake -0.000704
[862/5000][130/535][88789] Loss_D: -0.023987 Loss_G: 0.014222 Loss_D_real: -0.028827 Loss_D_fake -0.004840
[862/5000][135/535][88790] Loss_D: -0.021889 Loss_G: 0.004552 Loss_D_real: -0.023812 Loss_D_fake -0.001923
[862/5000][140/535][88791] Loss_D: -0.021534 Loss_G: 0.027296 Loss_D_real: -0.037584 Loss_D_fake -0.016049
[862/5000][145/535][88792] Loss_D: -0.023157 Loss_G: 0.016655 Loss_D_real: -0.018560 Loss_D_fake 0.004596
[862/5000][150/535][88793] Loss_D: -0.024013 Loss_G: 0.020099 Loss_D_real: -0.022116 Loss_D_fake 0.001897
[862/5000][155/535][88794] Loss_D: -0.024396 Loss_G: 0.001496 Loss_D_real: -0.019734 Loss_D_fake 0.004662
[862/5000][160/535][88795] Loss_D: -0.023569 Loss_G: 0.005814 Loss_D_real: -0.008650 Loss_D_fake 0.014919
[862/5000][165/535][88796] Loss_D: -0.023709 Loss_G: 0.004417 Loss_D_real: -0.014198 Loss_D_fake 0.009511
[862/5000][170/535][88797] Loss_D: -0.023214 Loss_G: 0.005009 Loss_D_real: -0.028206 Loss_D_fake -0.004992
[862/5000][175/535][88798] Loss_D: -0.023276 Loss_G: 0.010128 Loss_D_real: -0.019639 Loss_D_fake 0.003637
[862/5000][180/535][88799] Loss_D: -0.021623 Loss_G: -0.021672 Loss_D_real: -0.002135 Loss_D_fake 0.019488
[862/5000][185/535][88800] Loss_D: -0.024209 Loss_G: 0.020842 Loss_D_real: -0.014156 Loss_D_fake 0.010053
[862/5000][190/535][88801] Loss_D: -0.023054 Loss_G: 0.002516 Loss_D_real: -0.011970 Loss_D_fake 0.011084
[862/5000][195/535][88802] Loss_D: -0.022674 Loss_G: 0.021262 Loss_D_real: -0.023938 Loss_D_fake -0.001263
[862/5000][200/535][88803] Loss_D: -0.022181 Loss_G: -0.015774 Loss_D_real: 0.006006 Loss_D_fake 0.028187
[862/5000][205/535][88804] Loss_D: -0.022700 Loss_G: 0.015284 Loss_D_real: -0.017563 Loss_D_fake 0.005136
[862/5000][210/535][88805] Loss_D: -0.023424 Loss_G: 0.025813 Loss_D_real: -0.029987 Loss_D_fake -0.006564
[862/5000][215/535][88806] Loss_D: -0.023373 Loss_G: -0.005460 Loss_D_real: -0.013204 Loss_D_fake 0.010169
[862/5000][220/535][88807] Loss_D: -0.023203 Loss_G: 0.010671 Loss_D_real: -0.018249 Loss_D_fake 0.004954
[862/5000][225/535][88808] Loss_D: -0.022343 Loss_G: 0.001636 Loss_D_real: -0.020053 Loss_D_fake 0.002290
[862/5000][230/535][88809] Loss_D: -0.022409 Loss_G: 0.034080 Loss_D_real: -0.026429 Loss_D_fake -0.004020
[862/5000][235/535][88810] Loss_D: -0.022579 Loss_G: 0.012892 Loss_D_real: -0.018765 Loss_D_fake 0.003814
[862/5000][240/535][88811] Loss_D: -0.024313 Loss_G: -0.003245 Loss_D_real: -0.016231 Loss_D_fake 0.008082
[862/5000][245/535][88812] Loss_D: -0.020655 Loss_G: 0.018792 Loss_D_real: -0.023234 Loss_D_fake -0.002579
[862/5000][250/535][88813] Loss_D: -0.023726 Loss_G: 0.008967 Loss_D_real: -0.008400 Loss_D_fake 0.015326
[862/5000][255/535][88814] Loss_D: -0.022315 Loss_G: 0.006540 Loss_D_real: -0.011053 Loss_D_fake 0.011262
[862/5000][260/535][88815] Loss_D: -0.022544 Loss_G: -0.000687 Loss_D_real: -0.014938 Loss_D_fake 0.007606
[862/5000][265/535][88816] Loss_D: -0.022529 Loss_G: 0.005970 Loss_D_real: -0.018775 Loss_D_fake 0.003754
[862/5000][270/535][88817] Loss_D: -0.022844 Loss_G: -0.001210 Loss_D_real: -0.021082 Loss_D_fake 0.001763
[862/5000][275/535][88818] Loss_D: -0.023074 Loss_G: 0.010821 Loss_D_real: -0.027091 Loss_D_fake -0.004017
[862/5000][280/535][88819] Loss_D: -0.022254 Loss_G: 0.001833 Loss_D_real: -0.014708 Loss_D_fake 0.007546
[862/5000][285/535][88820] Loss_D: -0.021553 Loss_G: 0.026187 Loss_D_real: -0.031323 Loss_D_fake -0.009769
[862/5000][290/535][88821] Loss_D: -0.022254 Loss_G: -0.003126 Loss_D_real: -0.021476 Loss_D_fake 0.000778
[862/5000][295/535][88822] Loss_D: -0.020354 Loss_G: 0.030195 Loss_D_real: -0.025036 Loss_D_fake -0.004682
[862/5000][300/535][88823] Loss_D: -0.022347 Loss_G: 0.019736 Loss_D_real: -0.027893 Loss_D_fake -0.005546
[862/5000][305/535][88824] Loss_D: -0.023929 Loss_G: 0.016762 Loss_D_real: -0.028507 Loss_D_fake -0.004579
[862/5000][310/535][88825] Loss_D: -0.022948 Loss_G: 0.018059 Loss_D_real: -0.025114 Loss_D_fake -0.002167
[862/5000][315/535][88826] Loss_D: -0.024064 Loss_G: 0.010553 Loss_D_real: -0.029104 Loss_D_fake -0.005041
[862/5000][320/535][88827] Loss_D: -0.023534 Loss_G: 0.013160 Loss_D_real: -0.013228 Loss_D_fake 0.010306
[862/5000][325/535][88828] Loss_D: -0.022735 Loss_G: -0.002769 Loss_D_real: -0.009146 Loss_D_fake 0.013589
[862/5000][330/535][88829] Loss_D: -0.023187 Loss_G: 0.008833 Loss_D_real: -0.012260 Loss_D_fake 0.010927
[862/5000][335/535][88830] Loss_D: -0.023973 Loss_G: -0.007470 Loss_D_real: -0.013519 Loss_D_fake 0.010454
[862/5000][340/535][88831] Loss_D: -0.023047 Loss_G: 0.006856 Loss_D_real: -0.017075 Loss_D_fake 0.005972
[862/5000][345/535][88832] Loss_D: -0.022701 Loss_G: 0.001291 Loss_D_real: -0.010849 Loss_D_fake 0.011852
[862/5000][350/535][88833] Loss_D: -0.021345 Loss_G: 0.002988 Loss_D_real: -0.024497 Loss_D_fake -0.003152
[862/5000][355/535][88834] Loss_D: -0.022228 Loss_G: 0.003061 Loss_D_real: -0.023439 Loss_D_fake -0.001211
[862/5000][360/535][88835] Loss_D: -0.022754 Loss_G: 0.035299 Loss_D_real: -0.031706 Loss_D_fake -0.008952
[862/5000][365/535][88836] Loss_D: -0.022634 Loss_G: 0.004263 Loss_D_real: -0.017940 Loss_D_fake 0.004694
[862/5000][370/535][88837] Loss_D: -0.023741 Loss_G: 0.022039 Loss_D_real: -0.025978 Loss_D_fake -0.002237
[862/5000][375/535][88838] Loss_D: -0.022765 Loss_G: -0.007708 Loss_D_real: -0.014234 Loss_D_fake 0.008531
[862/5000][380/535][88839] Loss_D: -0.022471 Loss_G: -0.013598 Loss_D_real: -0.010433 Loss_D_fake 0.012038
[862/5000][385/535][88840] Loss_D: -0.021941 Loss_G: 0.009349 Loss_D_real: -0.017844 Loss_D_fake 0.004097
[862/5000][390/535][88841] Loss_D: -0.024248 Loss_G: 0.013070 Loss_D_real: -0.004192 Loss_D_fake 0.020056
[862/5000][395/535][88842] Loss_D: -0.022113 Loss_G: 0.020084 Loss_D_real: -0.026957 Loss_D_fake -0.004844
[862/5000][400/535][88843] Loss_D: -0.022748 Loss_G: 0.003671 Loss_D_real: -0.012704 Loss_D_fake 0.010044
[862/5000][405/535][88844] Loss_D: -0.023678 Loss_G: 0.003812 Loss_D_real: -0.016036 Loss_D_fake 0.007642
[862/5000][410/535][88845] Loss_D: -0.023170 Loss_G: 0.015299 Loss_D_real: -0.024944 Loss_D_fake -0.001774
[862/5000][415/535][88846] Loss_D: -0.022114 Loss_G: -0.001108 Loss_D_real: -0.006206 Loss_D_fake 0.015908
[862/5000][420/535][88847] Loss_D: -0.023644 Loss_G: 0.011062 Loss_D_real: -0.022830 Loss_D_fake 0.000814
[862/5000][425/535][88848] Loss_D: -0.023553 Loss_G: 0.012118 Loss_D_real: -0.017663 Loss_D_fake 0.005890
[862/5000][430/535][88849] Loss_D: -0.023466 Loss_G: 0.026166 Loss_D_real: -0.028292 Loss_D_fake -0.004826
[862/5000][435/535][88850] Loss_D: -0.022821 Loss_G: 0.002994 Loss_D_real: -0.007971 Loss_D_fake 0.014850
[862/5000][440/535][88851] Loss_D: -0.022584 Loss_G: 0.010302 Loss_D_real: -0.017129 Loss_D_fake 0.005455
[862/5000][445/535][88852] Loss_D: -0.023583 Loss_G: 0.012971 Loss_D_real: -0.027567 Loss_D_fake -0.003984
[862/5000][450/535][88853] Loss_D: -0.023510 Loss_G: -0.009425 Loss_D_real: -0.000755 Loss_D_fake 0.022755
[862/5000][455/535][88854] Loss_D: -0.022459 Loss_G: 0.016517 Loss_D_real: -0.009963 Loss_D_fake 0.012496
[862/5000][460/535][88855] Loss_D: -0.023355 Loss_G: -0.008924 Loss_D_real: -0.005141 Loss_D_fake 0.018214
[862/5000][465/535][88856] Loss_D: -0.021620 Loss_G: 0.022461 Loss_D_real: -0.025514 Loss_D_fake -0.003895
[862/5000][470/535][88857] Loss_D: -0.022822 Loss_G: 0.006393 Loss_D_real: -0.011139 Loss_D_fake 0.011683
[862/5000][475/535][88858] Loss_D: -0.023009 Loss_G: 0.004494 Loss_D_real: -0.019466 Loss_D_fake 0.003542
[862/5000][480/535][88859] Loss_D: -0.022988 Loss_G: 0.004278 Loss_D_real: -0.027703 Loss_D_fake -0.004715
[862/5000][485/535][88860] Loss_D: -0.022101 Loss_G: 0.007969 Loss_D_real: -0.021481 Loss_D_fake 0.000620
[862/5000][490/535][88861] Loss_D: -0.022369 Loss_G: 0.011743 Loss_D_real: -0.027693 Loss_D_fake -0.005324
[862/5000][495/535][88862] Loss_D: -0.023628 Loss_G: 0.002340 Loss_D_real: -0.009919 Loss_D_fake 0.013709
[862/5000][500/535][88863] Loss_D: -0.022034 Loss_G: 0.019462 Loss_D_real: -0.029581 Loss_D_fake -0.007546
[862/5000][505/535][88864] Loss_D: -0.021772 Loss_G: 0.007021 Loss_D_real: -0.014767 Loss_D_fake 0.007004
[862/5000][510/535][88865] Loss_D: -0.023611 Loss_G: 0.007939 Loss_D_real: -0.024816 Loss_D_fake -0.001205
[862/5000][515/535][88866] Loss_D: -0.022843 Loss_G: -0.007188 Loss_D_real: -0.005554 Loss_D_fake 0.017289
[862/5000][520/535][88867] Loss_D: -0.023545 Loss_G: 0.009916 Loss_D_real: -0.015405 Loss_D_fake 0.008140
[862/5000][525/535][88868] Loss_D: -0.023786 Loss_G: 0.003055 Loss_D_real: -0.012686 Loss_D_fake 0.011100
[862/5000][530/535][88869] Loss_D: -0.022374 Loss_G: 0.022820 Loss_D_real: -0.025177 Loss_D_fake -0.002803
[862/5000][535/535][88870] Loss_D: -0.022957 Loss_G: 0.023987 Loss_D_real: -0.033922 Loss_D_fake -0.010965
[863/5000][5/535][88871] Loss_D: -0.022383 Loss_G: 0.015601 Loss_D_real: -0.023511 Loss_D_fake -0.001128
[863/5000][10/535][88872] Loss_D: -0.022822 Loss_G: -0.000557 Loss_D_real: -0.004973 Loss_D_fake 0.017850
[863/5000][15/535][88873] Loss_D: -0.022360 Loss_G: 0.008716 Loss_D_real: -0.026863 Loss_D_fake -0.004503
[863/5000][20/535][88874] Loss_D: -0.023420 Loss_G: 0.013421 Loss_D_real: -0.023138 Loss_D_fake 0.000281
[863/5000][25/535][88875] Loss_D: -0.023081 Loss_G: 0.007340 Loss_D_real: -0.020880 Loss_D_fake 0.002201
[863/5000][30/535][88876] Loss_D: -0.024158 Loss_G: 0.028876 Loss_D_real: -0.023747 Loss_D_fake 0.000411
[863/5000][35/535][88877] Loss_D: -0.022933 Loss_G: -0.004852 Loss_D_real: -0.011395 Loss_D_fake 0.011539
[863/5000][40/535][88878] Loss_D: -0.023515 Loss_G: 0.017176 Loss_D_real: -0.017652 Loss_D_fake 0.005863
[863/5000][45/535][88879] Loss_D: -0.021572 Loss_G: 0.022574 Loss_D_real: -0.025474 Loss_D_fake -0.003902
[863/5000][50/535][88880] Loss_D: -0.021452 Loss_G: -0.014392 Loss_D_real: -0.008230 Loss_D_fake 0.013222
[863/5000][55/535][88881] Loss_D: -0.021060 Loss_G: 0.023358 Loss_D_real: -0.029879 Loss_D_fake -0.008818
[863/5000][60/535][88882] Loss_D: -0.022091 Loss_G: -0.010243 Loss_D_real: -0.007314 Loss_D_fake 0.014777
[863/5000][65/535][88883] Loss_D: -0.022713 Loss_G: -0.001710 Loss_D_real: -0.013679 Loss_D_fake 0.009034
[863/5000][70/535][88884] Loss_D: -0.023000 Loss_G: 0.009484 Loss_D_real: -0.009570 Loss_D_fake 0.013430
[863/5000][75/535][88885] Loss_D: -0.021390 Loss_G: 0.001772 Loss_D_real: -0.015142 Loss_D_fake 0.006248
[863/5000][80/535][88886] Loss_D: -0.024231 Loss_G: 0.002647 Loss_D_real: -0.021005 Loss_D_fake 0.003226
[863/5000][85/535][88887] Loss_D: -0.022695 Loss_G: -0.013002 Loss_D_real: -0.006018 Loss_D_fake 0.016676
[863/5000][90/535][88888] Loss_D: -0.024061 Loss_G: 0.008208 Loss_D_real: -0.019722 Loss_D_fake 0.004339
[863/5000][95/535][88889] Loss_D: -0.023651 Loss_G: 0.003051 Loss_D_real: -0.017283 Loss_D_fake 0.006367
[863/5000][100/535][88890] Loss_D: -0.023334 Loss_G: -0.002401 Loss_D_real: -0.005371 Loss_D_fake 0.017964
[863/5000][105/535][88891] Loss_D: -0.022818 Loss_G: 0.019492 Loss_D_real: -0.020536 Loss_D_fake 0.002282
[863/5000][110/535][88892] Loss_D: -0.023372 Loss_G: 0.010375 Loss_D_real: -0.020504 Loss_D_fake 0.002868
[863/5000][115/535][88893] Loss_D: -0.022934 Loss_G: 0.010053 Loss_D_real: -0.010022 Loss_D_fake 0.012912
[863/5000][120/535][88894] Loss_D: -0.023937 Loss_G: 0.011262 Loss_D_real: -0.022096 Loss_D_fake 0.001841
[863/5000][125/535][88895] Loss_D: -0.024508 Loss_G: -0.003611 Loss_D_real: -0.019032 Loss_D_fake 0.005476
[863/5000][130/535][88896] Loss_D: -0.024723 Loss_G: 0.021971 Loss_D_real: -0.030471 Loss_D_fake -0.005747
[863/5000][135/535][88897] Loss_D: -0.022541 Loss_G: -0.015414 Loss_D_real: -0.000985 Loss_D_fake 0.021556
[863/5000][140/535][88898] Loss_D: -0.023802 Loss_G: 0.008803 Loss_D_real: -0.019816 Loss_D_fake 0.003986
[863/5000][145/535][88899] Loss_D: -0.022970 Loss_G: -0.006822 Loss_D_real: -0.007151 Loss_D_fake 0.015818
[863/5000][150/535][88900] Loss_D: -0.023417 Loss_G: 0.008540 Loss_D_real: -0.018419 Loss_D_fake 0.004998
[863/5000][155/535][88901] Loss_D: -0.023134 Loss_G: -0.006334 Loss_D_real: -0.008107 Loss_D_fake 0.015027
[863/5000][160/535][88902] Loss_D: -0.022042 Loss_G: 0.024878 Loss_D_real: -0.024346 Loss_D_fake -0.002304
[863/5000][165/535][88903] Loss_D: -0.022714 Loss_G: -0.003772 Loss_D_real: -0.006577 Loss_D_fake 0.016137
[863/5000][170/535][88904] Loss_D: -0.023665 Loss_G: 0.016567 Loss_D_real: -0.017471 Loss_D_fake 0.006193
[863/5000][175/535][88905] Loss_D: -0.024397 Loss_G: 0.017422 Loss_D_real: -0.010246 Loss_D_fake 0.014151
[863/5000][180/535][88906] Loss_D: -0.023904 Loss_G: 0.012328 Loss_D_real: -0.036866 Loss_D_fake -0.012962
[863/5000][185/535][88907] Loss_D: -0.023625 Loss_G: -0.006772 Loss_D_real: -0.009156 Loss_D_fake 0.014469
[863/5000][190/535][88908] Loss_D: -0.023594 Loss_G: 0.008028 Loss_D_real: -0.017582 Loss_D_fake 0.006012
[863/5000][195/535][88909] Loss_D: -0.023938 Loss_G: 0.013765 Loss_D_real: -0.023727 Loss_D_fake 0.000211
[863/5000][200/535][88910] Loss_D: -0.023491 Loss_G: 0.001650 Loss_D_real: -0.011544 Loss_D_fake 0.011946
[863/5000][205/535][88911] Loss_D: -0.022986 Loss_G: -0.007839 Loss_D_real: -0.008365 Loss_D_fake 0.014621
[863/5000][210/535][88912] Loss_D: -0.023112 Loss_G: 0.020822 Loss_D_real: -0.021234 Loss_D_fake 0.001878
[863/5000][215/535][88913] Loss_D: -0.022410 Loss_G: 0.009130 Loss_D_real: -0.015851 Loss_D_fake 0.006559
[863/5000][220/535][88914] Loss_D: -0.021239 Loss_G: 0.021305 Loss_D_real: -0.030724 Loss_D_fake -0.009485
[863/5000][225/535][88915] Loss_D: -0.021582 Loss_G: 0.017976 Loss_D_real: -0.036914 Loss_D_fake -0.015332
[863/5000][230/535][88916] Loss_D: -0.022937 Loss_G: -0.003919 Loss_D_real: -0.006290 Loss_D_fake 0.016648
[863/5000][235/535][88917] Loss_D: -0.022762 Loss_G: 0.020058 Loss_D_real: -0.028241 Loss_D_fake -0.005479
[863/5000][240/535][88918] Loss_D: -0.022022 Loss_G: 0.005265 Loss_D_real: -0.006023 Loss_D_fake 0.015999
[863/5000][245/535][88919] Loss_D: -0.020887 Loss_G: 0.016254 Loss_D_real: -0.020868 Loss_D_fake 0.000020
[863/5000][250/535][88920] Loss_D: -0.023891 Loss_G: -0.001380 Loss_D_real: -0.007735 Loss_D_fake 0.016156
[863/5000][255/535][88921] Loss_D: -0.022682 Loss_G: 0.013809 Loss_D_real: -0.028877 Loss_D_fake -0.006195
[863/5000][260/535][88922] Loss_D: -0.022812 Loss_G: -0.008498 Loss_D_real: -0.002176 Loss_D_fake 0.020636
[863/5000][265/535][88923] Loss_D: -0.021914 Loss_G: 0.021922 Loss_D_real: -0.034575 Loss_D_fake -0.012661
[863/5000][270/535][88924] Loss_D: -0.021645 Loss_G: 0.014652 Loss_D_real: -0.017109 Loss_D_fake 0.004536
[863/5000][275/535][88925] Loss_D: -0.024361 Loss_G: 0.024614 Loss_D_real: -0.012655 Loss_D_fake 0.011706
[863/5000][280/535][88926] Loss_D: -0.023990 Loss_G: -0.000825 Loss_D_real: -0.016609 Loss_D_fake 0.007381
[863/5000][285/535][88927] Loss_D: -0.021690 Loss_G: 0.004476 Loss_D_real: -0.026140 Loss_D_fake -0.004451
[863/5000][290/535][88928] Loss_D: -0.023661 Loss_G: 0.016766 Loss_D_real: -0.024660 Loss_D_fake -0.001000
[863/5000][295/535][88929] Loss_D: -0.023558 Loss_G: 0.007727 Loss_D_real: -0.022270 Loss_D_fake 0.001288
[863/5000][300/535][88930] Loss_D: -0.021506 Loss_G: -0.005148 Loss_D_real: -0.009071 Loss_D_fake 0.012436
[863/5000][305/535][88931] Loss_D: -0.021681 Loss_G: 0.019542 Loss_D_real: -0.027342 Loss_D_fake -0.005661
[863/5000][310/535][88932] Loss_D: -0.023143 Loss_G: 0.007113 Loss_D_real: -0.015967 Loss_D_fake 0.007176
[863/5000][315/535][88933] Loss_D: -0.022044 Loss_G: 0.017004 Loss_D_real: -0.032746 Loss_D_fake -0.010702
[863/5000][320/535][88934] Loss_D: -0.023645 Loss_G: 0.017851 Loss_D_real: -0.020125 Loss_D_fake 0.003520
[863/5000][325/535][88935] Loss_D: -0.022522 Loss_G: -0.002322 Loss_D_real: -0.009300 Loss_D_fake 0.013222
[863/5000][330/535][88936] Loss_D: -0.023607 Loss_G: 0.021987 Loss_D_real: -0.027161 Loss_D_fake -0.003554
[863/5000][335/535][88937] Loss_D: -0.021776 Loss_G: 0.007297 Loss_D_real: -0.019537 Loss_D_fake 0.002239
[863/5000][340/535][88938] Loss_D: -0.022254 Loss_G: 0.011468 Loss_D_real: -0.018529 Loss_D_fake 0.003725
[863/5000][345/535][88939] Loss_D: -0.019524 Loss_G: 0.027705 Loss_D_real: -0.043812 Loss_D_fake -0.024288
[863/5000][350/535][88940] Loss_D: -0.022835 Loss_G: 0.014198 Loss_D_real: -0.014589 Loss_D_fake 0.008245
[863/5000][355/535][88941] Loss_D: -0.023060 Loss_G: -0.000404 Loss_D_real: -0.017313 Loss_D_fake 0.005747
[863/5000][360/535][88942] Loss_D: -0.022673 Loss_G: 0.012274 Loss_D_real: -0.023847 Loss_D_fake -0.001174
[863/5000][365/535][88943] Loss_D: -0.020519 Loss_G: 0.023202 Loss_D_real: -0.040236 Loss_D_fake -0.019717
[863/5000][370/535][88944] Loss_D: -0.023625 Loss_G: 0.006190 Loss_D_real: -0.016288 Loss_D_fake 0.007336
[863/5000][375/535][88945] Loss_D: -0.023513 Loss_G: -0.010437 Loss_D_real: -0.009106 Loss_D_fake 0.014408
[863/5000][380/535][88946] Loss_D: -0.023614 Loss_G: 0.015546 Loss_D_real: -0.023150 Loss_D_fake 0.000464
[863/5000][385/535][88947] Loss_D: -0.023644 Loss_G: 0.002860 Loss_D_real: -0.009393 Loss_D_fake 0.014251
[863/5000][390/535][88948] Loss_D: -0.022878 Loss_G: 0.007007 Loss_D_real: -0.009557 Loss_D_fake 0.013321
[863/5000][395/535][88949] Loss_D: -0.023901 Loss_G: 0.021192 Loss_D_real: -0.016686 Loss_D_fake 0.007215
[863/5000][400/535][88950] Loss_D: -0.022823 Loss_G: 0.017770 Loss_D_real: -0.028448 Loss_D_fake -0.005624
[863/5000][405/535][88951] Loss_D: -0.022292 Loss_G: 0.023291 Loss_D_real: -0.031758 Loss_D_fake -0.009466
[863/5000][410/535][88952] Loss_D: -0.021608 Loss_G: 0.003570 Loss_D_real: -0.021766 Loss_D_fake -0.000158
[863/5000][415/535][88953] Loss_D: -0.022096 Loss_G: 0.016392 Loss_D_real: -0.029959 Loss_D_fake -0.007863
[863/5000][420/535][88954] Loss_D: -0.023032 Loss_G: -0.008862 Loss_D_real: -0.000464 Loss_D_fake 0.022568
[863/5000][425/535][88955] Loss_D: -0.022222 Loss_G: 0.003930 Loss_D_real: -0.024324 Loss_D_fake -0.002102
[863/5000][430/535][88956] Loss_D: -0.023154 Loss_G: 0.024131 Loss_D_real: -0.028225 Loss_D_fake -0.005070
[863/5000][435/535][88957] Loss_D: -0.024245 Loss_G: 0.007502 Loss_D_real: -0.020954 Loss_D_fake 0.003291
[863/5000][440/535][88958] Loss_D: -0.023541 Loss_G: 0.009999 Loss_D_real: -0.017362 Loss_D_fake 0.006179
[863/5000][445/535][88959] Loss_D: -0.023181 Loss_G: -0.003038 Loss_D_real: -0.010238 Loss_D_fake 0.012943
[863/5000][450/535][88960] Loss_D: -0.022921 Loss_G: 0.006161 Loss_D_real: -0.014542 Loss_D_fake 0.008379
[863/5000][455/535][88961] Loss_D: -0.019745 Loss_G: 0.031568 Loss_D_real: -0.030059 Loss_D_fake -0.010314
[863/5000][460/535][88962] Loss_D: -0.023397 Loss_G: 0.015577 Loss_D_real: -0.020627 Loss_D_fake 0.002769
[863/5000][465/535][88963] Loss_D: -0.022772 Loss_G: 0.018656 Loss_D_real: -0.018700 Loss_D_fake 0.004072
[863/5000][470/535][88964] Loss_D: -0.023474 Loss_G: 0.005971 Loss_D_real: -0.023266 Loss_D_fake 0.000208
[863/5000][475/535][88965] Loss_D: -0.022810 Loss_G: 0.011430 Loss_D_real: -0.017738 Loss_D_fake 0.005072
[863/5000][480/535][88966] Loss_D: -0.023190 Loss_G: 0.028708 Loss_D_real: -0.028082 Loss_D_fake -0.004892
[863/5000][485/535][88967] Loss_D: -0.023637 Loss_G: 0.002453 Loss_D_real: -0.018393 Loss_D_fake 0.005244
[863/5000][490/535][88968] Loss_D: -0.022565 Loss_G: 0.004647 Loss_D_real: -0.009937 Loss_D_fake 0.012628
[863/5000][495/535][88969] Loss_D: -0.023425 Loss_G: 0.011151 Loss_D_real: -0.031823 Loss_D_fake -0.008398
[863/5000][500/535][88970] Loss_D: -0.023728 Loss_G: 0.014640 Loss_D_real: -0.024890 Loss_D_fake -0.001162
[863/5000][505/535][88971] Loss_D: -0.023620 Loss_G: -0.000008 Loss_D_real: -0.018073 Loss_D_fake 0.005547
[863/5000][510/535][88972] Loss_D: -0.023472 Loss_G: 0.005417 Loss_D_real: -0.013309 Loss_D_fake 0.010163
[863/5000][515/535][88973] Loss_D: -0.023148 Loss_G: 0.014815 Loss_D_real: -0.011076 Loss_D_fake 0.012072
[863/5000][520/535][88974] Loss_D: -0.021104 Loss_G: 0.006757 Loss_D_real: -0.019552 Loss_D_fake 0.001553
[863/5000][525/535][88975] Loss_D: -0.023244 Loss_G: -0.009485 Loss_D_real: -0.010085 Loss_D_fake 0.013160
[863/5000][530/535][88976] Loss_D: -0.020577 Loss_G: 0.020767 Loss_D_real: -0.019045 Loss_D_fake 0.001532
[863/5000][535/535][88977] Loss_D: -0.025360 Loss_G: -0.031736 Loss_D_real: -0.020490 Loss_D_fake 0.004870
[864/5000][5/535][88978] Loss_D: -0.021779 Loss_G: 0.008969 Loss_D_real: -0.006394 Loss_D_fake 0.015386
[864/5000][10/535][88979] Loss_D: -0.022945 Loss_G: 0.025318 Loss_D_real: -0.030430 Loss_D_fake -0.007485
[864/5000][15/535][88980] Loss_D: -0.021914 Loss_G: 0.019036 Loss_D_real: -0.027833 Loss_D_fake -0.005919
[864/5000][20/535][88981] Loss_D: -0.022109 Loss_G: -0.003451 Loss_D_real: -0.001248 Loss_D_fake 0.020860
[864/5000][25/535][88982] Loss_D: -0.022848 Loss_G: 0.022683 Loss_D_real: -0.028759 Loss_D_fake -0.005911
[864/5000][30/535][88983] Loss_D: -0.023096 Loss_G: 0.009389 Loss_D_real: -0.013666 Loss_D_fake 0.009430
[864/5000][35/535][88984] Loss_D: -0.021116 Loss_G: 0.014165 Loss_D_real: -0.025236 Loss_D_fake -0.004120
[864/5000][40/535][88985] Loss_D: -0.022892 Loss_G: 0.000124 Loss_D_real: -0.023089 Loss_D_fake -0.000197
[864/5000][45/535][88986] Loss_D: -0.023037 Loss_G: 0.011664 Loss_D_real: -0.015122 Loss_D_fake 0.007915
[864/5000][50/535][88987] Loss_D: -0.022710 Loss_G: -0.007030 Loss_D_real: -0.003340 Loss_D_fake 0.019370
[864/5000][55/535][88988] Loss_D: -0.023182 Loss_G: 0.016917 Loss_D_real: -0.025561 Loss_D_fake -0.002379
[864/5000][60/535][88989] Loss_D: -0.023562 Loss_G: 0.005475 Loss_D_real: -0.013150 Loss_D_fake 0.010413
[864/5000][65/535][88990] Loss_D: -0.023773 Loss_G: 0.011737 Loss_D_real: -0.016198 Loss_D_fake 0.007574
[864/5000][70/535][88991] Loss_D: -0.024962 Loss_G: 0.001111 Loss_D_real: -0.016889 Loss_D_fake 0.008073
[864/5000][75/535][88992] Loss_D: -0.024318 Loss_G: 0.014007 Loss_D_real: -0.025859 Loss_D_fake -0.001541
[864/5000][80/535][88993] Loss_D: -0.024626 Loss_G: 0.007516 Loss_D_real: -0.024783 Loss_D_fake -0.000157
[864/5000][85/535][88994] Loss_D: -0.023908 Loss_G: 0.002268 Loss_D_real: -0.008925 Loss_D_fake 0.014983
[864/5000][90/535][88995] Loss_D: -0.023307 Loss_G: 0.013283 Loss_D_real: -0.019435 Loss_D_fake 0.003872
[864/5000][95/535][88996] Loss_D: -0.023589 Loss_G: 0.010238 Loss_D_real: -0.022470 Loss_D_fake 0.001119
[864/5000][100/535][88997] Loss_D: -0.023749 Loss_G: 0.016146 Loss_D_real: -0.017687 Loss_D_fake 0.006062
[864/5000][105/535][88998] Loss_D: -0.022671 Loss_G: 0.003051 Loss_D_real: -0.015182 Loss_D_fake 0.007489
[864/5000][110/535][88999] Loss_D: -0.023709 Loss_G: 0.015978 Loss_D_real: -0.029795 Loss_D_fake -0.006085
[864/5000][115/535][89000] Loss_D: -0.023701 Loss_G: 0.018984 Loss_D_real: -0.015373 Loss_D_fake 0.008328
[864/5000][215/535][89001] Loss_D: -0.025959 Loss_G: -0.012878 Loss_D_real: -0.009078 Loss_D_fake 0.016880
[864/5000][220/535][89002] Loss_D: -0.022842 Loss_G: 0.021286 Loss_D_real: -0.019669 Loss_D_fake 0.003172
[864/5000][225/535][89003] Loss_D: -0.020228 Loss_G: 0.004977 Loss_D_real: -0.021058 Loss_D_fake -0.000831
[864/5000][230/535][89004] Loss_D: -0.020484 Loss_G: 0.004295 Loss_D_real: -0.012742 Loss_D_fake 0.007742
[864/5000][235/535][89005] Loss_D: -0.021141 Loss_G: 0.012688 Loss_D_real: -0.018640 Loss_D_fake 0.002500
[864/5000][240/535][89006] Loss_D: -0.021134 Loss_G: 0.010854 Loss_D_real: -0.027464 Loss_D_fake -0.006330
[864/5000][245/535][89007] Loss_D: -0.022693 Loss_G: 0.009070 Loss_D_real: -0.014198 Loss_D_fake 0.008495
[864/5000][250/535][89008] Loss_D: -0.021608 Loss_G: -0.003291 Loss_D_real: -0.001883 Loss_D_fake 0.019725
[864/5000][255/535][89009] Loss_D: -0.021499 Loss_G: 0.018880 Loss_D_real: -0.031397 Loss_D_fake -0.009897
[864/5000][260/535][89010] Loss_D: -0.021205 Loss_G: -0.006746 Loss_D_real: -0.020858 Loss_D_fake 0.000347
[864/5000][265/535][89011] Loss_D: -0.022081 Loss_G: 0.023120 Loss_D_real: -0.023065 Loss_D_fake -0.000984
[864/5000][270/535][89012] Loss_D: -0.023084 Loss_G: 0.002535 Loss_D_real: -0.007097 Loss_D_fake 0.015987
[864/5000][275/535][89013] Loss_D: -0.022356 Loss_G: 0.016195 Loss_D_real: -0.016584 Loss_D_fake 0.005772
[864/5000][280/535][89014] Loss_D: -0.022473 Loss_G: 0.016656 Loss_D_real: -0.021513 Loss_D_fake 0.000960
[864/5000][285/535][89015] Loss_D: -0.022602 Loss_G: 0.007649 Loss_D_real: -0.018648 Loss_D_fake 0.003953
[864/5000][290/535][89016] Loss_D: -0.023163 Loss_G: -0.002804 Loss_D_real: -0.017410 Loss_D_fake 0.005753
[864/5000][295/535][89017] Loss_D: -0.023026 Loss_G: 0.011656 Loss_D_real: -0.011533 Loss_D_fake 0.011493
[864/5000][300/535][89018] Loss_D: -0.024480 Loss_G: 0.010159 Loss_D_real: -0.010177 Loss_D_fake 0.014303
[864/5000][305/535][89019] Loss_D: -0.023212 Loss_G: 0.003154 Loss_D_real: -0.019746 Loss_D_fake 0.003466
[864/5000][310/535][89020] Loss_D: -0.023099 Loss_G: 0.006403 Loss_D_real: -0.015765 Loss_D_fake 0.007335
[864/5000][315/535][89021] Loss_D: -0.022609 Loss_G: 0.023997 Loss_D_real: -0.023030 Loss_D_fake -0.000421
[864/5000][320/535][89022] Loss_D: -0.022500 Loss_G: 0.012977 Loss_D_real: -0.012915 Loss_D_fake 0.009586
[864/5000][325/535][89023] Loss_D: -0.022384 Loss_G: 0.012742 Loss_D_real: -0.023613 Loss_D_fake -0.001229
[864/5000][330/535][89024] Loss_D: -0.022847 Loss_G: 0.012816 Loss_D_real: -0.019826 Loss_D_fake 0.003021
[864/5000][335/535][89025] Loss_D: -0.022559 Loss_G: -0.007211 Loss_D_real: -0.020545 Loss_D_fake 0.002014
[864/5000][340/535][89026] Loss_D: -0.024220 Loss_G: 0.005648 Loss_D_real: -0.020963 Loss_D_fake 0.003258
[864/5000][345/535][89027] Loss_D: -0.023087 Loss_G: 0.007959 Loss_D_real: -0.021308 Loss_D_fake 0.001780
[864/5000][350/535][89028] Loss_D: -0.022670 Loss_G: 0.006044 Loss_D_real: -0.003912 Loss_D_fake 0.018758
[864/5000][355/535][89029] Loss_D: -0.022569 Loss_G: 0.010070 Loss_D_real: -0.019298 Loss_D_fake 0.003271
[864/5000][360/535][89030] Loss_D: -0.022576 Loss_G: 0.013068 Loss_D_real: -0.014799 Loss_D_fake 0.007777
[864/5000][365/535][89031] Loss_D: -0.020141 Loss_G: 0.006816 Loss_D_real: -0.018506 Loss_D_fake 0.001635
[864/5000][370/535][89032] Loss_D: -0.023526 Loss_G: 0.015996 Loss_D_real: -0.018026 Loss_D_fake 0.005500
[864/5000][375/535][89033] Loss_D: -0.022467 Loss_G: 0.000628 Loss_D_real: -0.011730 Loss_D_fake 0.010737
[864/5000][380/535][89034] Loss_D: -0.023014 Loss_G: 0.005460 Loss_D_real: -0.009508 Loss_D_fake 0.013507
[864/5000][385/535][89035] Loss_D: -0.022954 Loss_G: -0.002499 Loss_D_real: -0.005502 Loss_D_fake 0.017452
[864/5000][390/535][89036] Loss_D: -0.022757 Loss_G: -0.005013 Loss_D_real: -0.017069 Loss_D_fake 0.005688
[864/5000][395/535][89037] Loss_D: -0.022029 Loss_G: -0.003088 Loss_D_real: -0.005292 Loss_D_fake 0.016737
[864/5000][400/535][89038] Loss_D: -0.022917 Loss_G: 0.029170 Loss_D_real: -0.027672 Loss_D_fake -0.004755
[864/5000][405/535][89039] Loss_D: -0.022545 Loss_G: 0.014688 Loss_D_real: -0.029242 Loss_D_fake -0.006697
[864/5000][410/535][89040] Loss_D: -0.023090 Loss_G: 0.008688 Loss_D_real: -0.017536 Loss_D_fake 0.005554
[864/5000][415/535][89041] Loss_D: -0.023328 Loss_G: 0.020491 Loss_D_real: -0.029630 Loss_D_fake -0.006303
[864/5000][420/535][89042] Loss_D: -0.023024 Loss_G: -0.002317 Loss_D_real: -0.007261 Loss_D_fake 0.015763
[864/5000][425/535][89043] Loss_D: -0.022870 Loss_G: 0.016853 Loss_D_real: -0.019264 Loss_D_fake 0.003606
[864/5000][430/535][89044] Loss_D: -0.022728 Loss_G: -0.003175 Loss_D_real: -0.018015 Loss_D_fake 0.004713
[864/5000][435/535][89045] Loss_D: -0.021115 Loss_G: 0.033282 Loss_D_real: -0.031571 Loss_D_fake -0.010456
[864/5000][440/535][89046] Loss_D: -0.022509 Loss_G: 0.006888 Loss_D_real: -0.015359 Loss_D_fake 0.007151
[864/5000][445/535][89047] Loss_D: -0.023686 Loss_G: -0.012241 Loss_D_real: -0.010050 Loss_D_fake 0.013636
[864/5000][450/535][89048] Loss_D: -0.020922 Loss_G: 0.012755 Loss_D_real: -0.028485 Loss_D_fake -0.007563
[864/5000][455/535][89049] Loss_D: -0.023572 Loss_G: 0.011159 Loss_D_real: -0.023031 Loss_D_fake 0.000541
[864/5000][460/535][89050] Loss_D: -0.023794 Loss_G: -0.000162 Loss_D_real: -0.014088 Loss_D_fake 0.009706
[864/5000][465/535][89051] Loss_D: -0.023886 Loss_G: -0.006973 Loss_D_real: -0.006349 Loss_D_fake 0.017536
[864/5000][470/535][89052] Loss_D: -0.022981 Loss_G: 0.018788 Loss_D_real: -0.026617 Loss_D_fake -0.003636
[864/5000][475/535][89053] Loss_D: -0.022972 Loss_G: -0.000203 Loss_D_real: -0.004315 Loss_D_fake 0.018657
[864/5000][480/535][89054] Loss_D: -0.022831 Loss_G: 0.021647 Loss_D_real: -0.011023 Loss_D_fake 0.011808
[864/5000][485/535][89055] Loss_D: -0.022975 Loss_G: 0.009312 Loss_D_real: -0.027780 Loss_D_fake -0.004805
[864/5000][490/535][89056] Loss_D: -0.022675 Loss_G: 0.015077 Loss_D_real: -0.019685 Loss_D_fake 0.002990
[864/5000][495/535][89057] Loss_D: -0.022215 Loss_G: 0.013580 Loss_D_real: -0.021299 Loss_D_fake 0.000915
[864/5000][500/535][89058] Loss_D: -0.024068 Loss_G: 0.016051 Loss_D_real: -0.018354 Loss_D_fake 0.005714
[864/5000][505/535][89059] Loss_D: -0.023223 Loss_G: 0.009751 Loss_D_real: -0.030862 Loss_D_fake -0.007639
[864/5000][510/535][89060] Loss_D: -0.023054 Loss_G: 0.023792 Loss_D_real: -0.019472 Loss_D_fake 0.003583
[864/5000][515/535][89061] Loss_D: -0.020678 Loss_G: 0.024457 Loss_D_real: -0.032370 Loss_D_fake -0.011692
[864/5000][520/535][89062] Loss_D: -0.021501 Loss_G: -0.009013 Loss_D_real: -0.003474 Loss_D_fake 0.018027
[864/5000][525/535][89063] Loss_D: -0.022468 Loss_G: 0.007823 Loss_D_real: -0.019308 Loss_D_fake 0.003161
[864/5000][530/535][89064] Loss_D: -0.023324 Loss_G: 0.002530 Loss_D_real: -0.013576 Loss_D_fake 0.009748
[864/5000][535/535][89065] Loss_D: -0.026769 Loss_G: 0.020685 Loss_D_real: -0.026615 Loss_D_fake 0.000154
[865/5000][5/535][89066] Loss_D: -0.021827 Loss_G: 0.018904 Loss_D_real: -0.019001 Loss_D_fake 0.002826
[865/5000][10/535][89067] Loss_D: -0.022512 Loss_G: -0.008501 Loss_D_real: -0.003513 Loss_D_fake 0.018998
[865/5000][15/535][89068] Loss_D: -0.021792 Loss_G: -0.004625 Loss_D_real: -0.019618 Loss_D_fake 0.002174
[865/5000][20/535][89069] Loss_D: -0.022895 Loss_G: 0.013294 Loss_D_real: -0.014234 Loss_D_fake 0.008661
[865/5000][25/535][89070] Loss_D: -0.022351 Loss_G: 0.001472 Loss_D_real: -0.008845 Loss_D_fake 0.013506
[865/5000][30/535][89071] Loss_D: -0.022081 Loss_G: -0.004389 Loss_D_real: -0.008492 Loss_D_fake 0.013589
[865/5000][35/535][89072] Loss_D: -0.023595 Loss_G: 0.013015 Loss_D_real: -0.020648 Loss_D_fake 0.002947
[865/5000][40/535][89073] Loss_D: -0.022980 Loss_G: 0.017207 Loss_D_real: -0.021120 Loss_D_fake 0.001860
[865/5000][45/535][89074] Loss_D: -0.021323 Loss_G: 0.023303 Loss_D_real: -0.034330 Loss_D_fake -0.013007
[865/5000][50/535][89075] Loss_D: -0.021817 Loss_G: 0.017631 Loss_D_real: -0.026669 Loss_D_fake -0.004852
[865/5000][55/535][89076] Loss_D: -0.022415 Loss_G: 0.021652 Loss_D_real: -0.039552 Loss_D_fake -0.017137
[865/5000][60/535][89077] Loss_D: -0.022880 Loss_G: 0.018724 Loss_D_real: -0.023710 Loss_D_fake -0.000830
[865/5000][65/535][89078] Loss_D: -0.022023 Loss_G: -0.021189 Loss_D_real: -0.008929 Loss_D_fake 0.013094
[865/5000][70/535][89079] Loss_D: -0.022285 Loss_G: 0.010938 Loss_D_real: -0.025431 Loss_D_fake -0.003147
[865/5000][75/535][89080] Loss_D: -0.021702 Loss_G: 0.017803 Loss_D_real: -0.031862 Loss_D_fake -0.010159
[865/5000][80/535][89081] Loss_D: -0.021600 Loss_G: -0.011455 Loss_D_real: -0.009787 Loss_D_fake 0.011813
[865/5000][85/535][89082] Loss_D: -0.021054 Loss_G: 0.023704 Loss_D_real: -0.028489 Loss_D_fake -0.007435
[865/5000][90/535][89083] Loss_D: -0.023587 Loss_G: 0.005909 Loss_D_real: -0.016672 Loss_D_fake 0.006916
[865/5000][95/535][89084] Loss_D: -0.022900 Loss_G: 0.010384 Loss_D_real: -0.016371 Loss_D_fake 0.006529
[865/5000][100/535][89085] Loss_D: -0.022826 Loss_G: 0.002250 Loss_D_real: -0.017708 Loss_D_fake 0.005118
[865/5000][105/535][89086] Loss_D: -0.024996 Loss_G: 0.009446 Loss_D_real: -0.024311 Loss_D_fake 0.000685
[865/5000][110/535][89087] Loss_D: -0.023763 Loss_G: 0.021489 Loss_D_real: -0.021219 Loss_D_fake 0.002544
[865/5000][115/535][89088] Loss_D: -0.022649 Loss_G: -0.001431 Loss_D_real: -0.013130 Loss_D_fake 0.009519
[865/5000][120/535][89089] Loss_D: -0.023390 Loss_G: 0.010315 Loss_D_real: -0.014453 Loss_D_fake 0.008937
[865/5000][125/535][89090] Loss_D: -0.022172 Loss_G: -0.004396 Loss_D_real: -0.015017 Loss_D_fake 0.007155
[865/5000][130/535][89091] Loss_D: -0.022493 Loss_G: 0.006964 Loss_D_real: -0.020787 Loss_D_fake 0.001706
[865/5000][135/535][89092] Loss_D: -0.021842 Loss_G: 0.023598 Loss_D_real: -0.035394 Loss_D_fake -0.013552
[865/5000][140/535][89093] Loss_D: -0.022009 Loss_G: 0.022218 Loss_D_real: -0.034492 Loss_D_fake -0.012483
[865/5000][145/535][89094] Loss_D: -0.022275 Loss_G: 0.005285 Loss_D_real: 0.000578 Loss_D_fake 0.022853
[865/5000][150/535][89095] Loss_D: -0.024020 Loss_G: 0.019078 Loss_D_real: -0.021387 Loss_D_fake 0.002633
[865/5000][155/535][89096] Loss_D: -0.021978 Loss_G: -0.016431 Loss_D_real: -0.003767 Loss_D_fake 0.018211
[865/5000][160/535][89097] Loss_D: -0.023496 Loss_G: 0.016882 Loss_D_real: -0.034537 Loss_D_fake -0.011041
[865/5000][165/535][89098] Loss_D: -0.023536 Loss_G: 0.003754 Loss_D_real: -0.012475 Loss_D_fake 0.011061
[865/5000][170/535][89099] Loss_D: -0.022530 Loss_G: 0.019297 Loss_D_real: -0.029316 Loss_D_fake -0.006785
[865/5000][175/535][89100] Loss_D: -0.023342 Loss_G: 0.021264 Loss_D_real: -0.014606 Loss_D_fake 0.008735
[865/5000][180/535][89101] Loss_D: -0.022776 Loss_G: 0.016561 Loss_D_real: -0.022335 Loss_D_fake 0.000441
[865/5000][185/535][89102] Loss_D: -0.023531 Loss_G: 0.006075 Loss_D_real: -0.011462 Loss_D_fake 0.012069
[865/5000][190/535][89103] Loss_D: -0.023459 Loss_G: 0.013101 Loss_D_real: -0.031070 Loss_D_fake -0.007611
[865/5000][195/535][89104] Loss_D: -0.024200 Loss_G: 0.004787 Loss_D_real: -0.024333 Loss_D_fake -0.000133
[865/5000][200/535][89105] Loss_D: -0.024336 Loss_G: 0.016058 Loss_D_real: -0.024252 Loss_D_fake 0.000084
[865/5000][205/535][89106] Loss_D: -0.023416 Loss_G: 0.001649 Loss_D_real: -0.008901 Loss_D_fake 0.014515
[865/5000][210/535][89107] Loss_D: -0.021907 Loss_G: 0.013274 Loss_D_real: -0.029732 Loss_D_fake -0.007824
[865/5000][215/535][89108] Loss_D: -0.023363 Loss_G: 0.006075 Loss_D_real: -0.016156 Loss_D_fake 0.007207
[865/5000][220/535][89109] Loss_D: -0.023856 Loss_G: -0.001304 Loss_D_real: -0.018978 Loss_D_fake 0.004878
[865/5000][225/535][89110] Loss_D: -0.022557 Loss_G: 0.021591 Loss_D_real: -0.017375 Loss_D_fake 0.005182
[865/5000][230/535][89111] Loss_D: -0.024130 Loss_G: -0.008431 Loss_D_real: -0.016080 Loss_D_fake 0.008050
[865/5000][235/535][89112] Loss_D: -0.023259 Loss_G: 0.014375 Loss_D_real: -0.020337 Loss_D_fake 0.002922
[865/5000][240/535][89113] Loss_D: -0.022005 Loss_G: 0.027678 Loss_D_real: -0.041645 Loss_D_fake -0.019640
[865/5000][245/535][89114] Loss_D: -0.024547 Loss_G: 0.014973 Loss_D_real: -0.025088 Loss_D_fake -0.000541
[865/5000][250/535][89115] Loss_D: -0.022423 Loss_G: 0.014843 Loss_D_real: -0.033163 Loss_D_fake -0.010739
[865/5000][255/535][89116] Loss_D: -0.023909 Loss_G: 0.000730 Loss_D_real: -0.012383 Loss_D_fake 0.011526
[865/5000][260/535][89117] Loss_D: -0.022635 Loss_G: 0.025095 Loss_D_real: -0.032479 Loss_D_fake -0.009844
[865/5000][265/535][89118] Loss_D: -0.022788 Loss_G: 0.017599 Loss_D_real: -0.028440 Loss_D_fake -0.005653
[865/5000][270/535][89119] Loss_D: -0.023651 Loss_G: 0.002962 Loss_D_real: -0.010738 Loss_D_fake 0.012913
[865/5000][275/535][89120] Loss_D: -0.022590 Loss_G: 0.025944 Loss_D_real: -0.018179 Loss_D_fake 0.004411
[865/5000][280/535][89121] Loss_D: -0.024192 Loss_G: 0.015355 Loss_D_real: -0.024454 Loss_D_fake -0.000263
[865/5000][285/535][89122] Loss_D: -0.022539 Loss_G: -0.000586 Loss_D_real: -0.023488 Loss_D_fake -0.000949
[865/5000][290/535][89123] Loss_D: -0.022741 Loss_G: 0.008925 Loss_D_real: -0.007102 Loss_D_fake 0.015640
[865/5000][295/535][89124] Loss_D: -0.023598 Loss_G: 0.005825 Loss_D_real: -0.021683 Loss_D_fake 0.001916
[865/5000][300/535][89125] Loss_D: -0.021998 Loss_G: 0.003372 Loss_D_real: -0.028392 Loss_D_fake -0.006394
[865/5000][305/535][89126] Loss_D: -0.022136 Loss_G: -0.006765 Loss_D_real: -0.004300 Loss_D_fake 0.017836
[865/5000][310/535][89127] Loss_D: -0.023278 Loss_G: 0.006922 Loss_D_real: -0.003760 Loss_D_fake 0.019518
[865/5000][315/535][89128] Loss_D: -0.023473 Loss_G: 0.006581 Loss_D_real: -0.012741 Loss_D_fake 0.010731
[865/5000][320/535][89129] Loss_D: -0.023060 Loss_G: 0.019784 Loss_D_real: -0.023957 Loss_D_fake -0.000896
[865/5000][325/535][89130] Loss_D: -0.022994 Loss_G: -0.000216 Loss_D_real: -0.017484 Loss_D_fake 0.005510
[865/5000][330/535][89131] Loss_D: -0.021699 Loss_G: 0.016223 Loss_D_real: -0.037020 Loss_D_fake -0.015322
[865/5000][335/535][89132] Loss_D: -0.022467 Loss_G: 0.014600 Loss_D_real: -0.010677 Loss_D_fake 0.011791
[865/5000][340/535][89133] Loss_D: -0.022782 Loss_G: 0.022302 Loss_D_real: -0.036806 Loss_D_fake -0.014024
[865/5000][345/535][89134] Loss_D: -0.023407 Loss_G: 0.002431 Loss_D_real: -0.009928 Loss_D_fake 0.013479
[865/5000][350/535][89135] Loss_D: -0.023233 Loss_G: 0.009227 Loss_D_real: -0.016970 Loss_D_fake 0.006263
[865/5000][355/535][89136] Loss_D: -0.022514 Loss_G: 0.008355 Loss_D_real: -0.011112 Loss_D_fake 0.011402
[865/5000][360/535][89137] Loss_D: -0.023190 Loss_G: 0.011738 Loss_D_real: -0.015270 Loss_D_fake 0.007920
[865/5000][365/535][89138] Loss_D: -0.023643 Loss_G: 0.007407 Loss_D_real: -0.007651 Loss_D_fake 0.015992
[865/5000][370/535][89139] Loss_D: -0.022148 Loss_G: 0.008894 Loss_D_real: -0.015300 Loss_D_fake 0.006847
[865/5000][375/535][89140] Loss_D: -0.022990 Loss_G: 0.015114 Loss_D_real: -0.015371 Loss_D_fake 0.007618
[865/5000][380/535][89141] Loss_D: -0.022850 Loss_G: 0.004621 Loss_D_real: -0.019873 Loss_D_fake 0.002977
[865/5000][385/535][89142] Loss_D: -0.024335 Loss_G: 0.009245 Loss_D_real: -0.027306 Loss_D_fake -0.002972
[865/5000][390/535][89143] Loss_D: -0.021973 Loss_G: 0.003200 Loss_D_real: -0.012350 Loss_D_fake 0.009623
[865/5000][395/535][89144] Loss_D: -0.022330 Loss_G: 0.020674 Loss_D_real: -0.026917 Loss_D_fake -0.004587
[865/5000][400/535][89145] Loss_D: -0.021802 Loss_G: 0.016038 Loss_D_real: -0.020192 Loss_D_fake 0.001610
[865/5000][405/535][89146] Loss_D: -0.024165 Loss_G: 0.016694 Loss_D_real: -0.027775 Loss_D_fake -0.003609
[865/5000][410/535][89147] Loss_D: -0.023479 Loss_G: -0.007315 Loss_D_real: -0.001080 Loss_D_fake 0.022400
[865/5000][415/535][89148] Loss_D: -0.022681 Loss_G: 0.009266 Loss_D_real: -0.011904 Loss_D_fake 0.010776
[865/5000][420/535][89149] Loss_D: -0.023687 Loss_G: 0.001206 Loss_D_real: -0.019385 Loss_D_fake 0.004301
[865/5000][425/535][89150] Loss_D: -0.022622 Loss_G: 0.014222 Loss_D_real: -0.033220 Loss_D_fake -0.010598
[865/5000][430/535][89151] Loss_D: -0.023594 Loss_G: 0.012313 Loss_D_real: -0.022254 Loss_D_fake 0.001341
[865/5000][435/535][89152] Loss_D: -0.022061 Loss_G: -0.009701 Loss_D_real: -0.000614 Loss_D_fake 0.021447
[865/5000][440/535][89153] Loss_D: -0.021442 Loss_G: 0.011298 Loss_D_real: -0.028618 Loss_D_fake -0.007176
[865/5000][445/535][89154] Loss_D: -0.023098 Loss_G: 0.006292 Loss_D_real: -0.009915 Loss_D_fake 0.013183
[865/5000][450/535][89155] Loss_D: -0.023371 Loss_G: 0.020492 Loss_D_real: -0.019145 Loss_D_fake 0.004226
[865/5000][455/535][89156] Loss_D: -0.022787 Loss_G: -0.018542 Loss_D_real: -0.005778 Loss_D_fake 0.017008
[865/5000][460/535][89157] Loss_D: -0.022010 Loss_G: 0.001415 Loss_D_real: -0.009634 Loss_D_fake 0.012376
[865/5000][465/535][89158] Loss_D: -0.021875 Loss_G: 0.014095 Loss_D_real: -0.018727 Loss_D_fake 0.003147
[865/5000][470/535][89159] Loss_D: -0.023440 Loss_G: 0.020863 Loss_D_real: -0.029693 Loss_D_fake -0.006253
[865/5000][475/535][89160] Loss_D: -0.022942 Loss_G: 0.009322 Loss_D_real: -0.017480 Loss_D_fake 0.005462
[865/5000][480/535][89161] Loss_D: -0.022476 Loss_G: -0.010838 Loss_D_real: 0.001197 Loss_D_fake 0.023673
[865/5000][485/535][89162] Loss_D: -0.022107 Loss_G: -0.006826 Loss_D_real: -0.008662 Loss_D_fake 0.013445
[865/5000][490/535][89163] Loss_D: -0.022400 Loss_G: 0.007034 Loss_D_real: -0.017431 Loss_D_fake 0.004969
[865/5000][495/535][89164] Loss_D: -0.021696 Loss_G: 0.012624 Loss_D_real: -0.019967 Loss_D_fake 0.001729
[865/5000][500/535][89165] Loss_D: -0.024349 Loss_G: 0.015785 Loss_D_real: -0.029955 Loss_D_fake -0.005607
[865/5000][505/535][89166] Loss_D: -0.021852 Loss_G: -0.005383 Loss_D_real: -0.013059 Loss_D_fake 0.008792
[865/5000][510/535][89167] Loss_D: -0.022670 Loss_G: -0.003708 Loss_D_real: -0.012421 Loss_D_fake 0.010249
[865/5000][515/535][89168] Loss_D: -0.022953 Loss_G: 0.005393 Loss_D_real: -0.014271 Loss_D_fake 0.008681
[865/5000][520/535][89169] Loss_D: -0.024134 Loss_G: 0.020427 Loss_D_real: -0.021399 Loss_D_fake 0.002735
[865/5000][525/535][89170] Loss_D: -0.022174 Loss_G: -0.005327 Loss_D_real: -0.004287 Loss_D_fake 0.017887
[865/5000][530/535][89171] Loss_D: -0.022240 Loss_G: 0.010012 Loss_D_real: -0.014115 Loss_D_fake 0.008124
[865/5000][535/535][89172] Loss_D: -0.022394 Loss_G: 0.002825 Loss_D_real: -0.026428 Loss_D_fake -0.004035
[866/5000][5/535][89173] Loss_D: -0.022249 Loss_G: 0.014374 Loss_D_real: -0.015471 Loss_D_fake 0.006778
[866/5000][10/535][89174] Loss_D: -0.021640 Loss_G: 0.029111 Loss_D_real: -0.042175 Loss_D_fake -0.020535
[866/5000][15/535][89175] Loss_D: -0.022723 Loss_G: 0.012169 Loss_D_real: -0.024353 Loss_D_fake -0.001630
[866/5000][20/535][89176] Loss_D: -0.023612 Loss_G: -0.006533 Loss_D_real: -0.022943 Loss_D_fake 0.000669
[866/5000][25/535][89177] Loss_D: -0.022888 Loss_G: 0.005924 Loss_D_real: -0.022524 Loss_D_fake 0.000364
[866/5000][30/535][89178] Loss_D: -0.022660 Loss_G: -0.002381 Loss_D_real: -0.009960 Loss_D_fake 0.012700
[866/5000][35/535][89179] Loss_D: -0.023588 Loss_G: 0.008691 Loss_D_real: -0.005656 Loss_D_fake 0.017932
[866/5000][40/535][89180] Loss_D: -0.021600 Loss_G: 0.016727 Loss_D_real: -0.025110 Loss_D_fake -0.003510
[866/5000][45/535][89181] Loss_D: -0.021779 Loss_G: 0.020520 Loss_D_real: -0.026034 Loss_D_fake -0.004255
[866/5000][50/535][89182] Loss_D: -0.021754 Loss_G: 0.002526 Loss_D_real: -0.014429 Loss_D_fake 0.007326
[866/5000][55/535][89183] Loss_D: -0.023662 Loss_G: 0.009201 Loss_D_real: -0.018836 Loss_D_fake 0.004826
[866/5000][60/535][89184] Loss_D: -0.021820 Loss_G: -0.004444 Loss_D_real: -0.006522 Loss_D_fake 0.015299
[866/5000][65/535][89185] Loss_D: -0.021545 Loss_G: 0.022800 Loss_D_real: -0.019871 Loss_D_fake 0.001674
[866/5000][70/535][89186] Loss_D: -0.020919 Loss_G: 0.017178 Loss_D_real: -0.037377 Loss_D_fake -0.016459
[866/5000][75/535][89187] Loss_D: -0.023728 Loss_G: 0.010460 Loss_D_real: -0.014148 Loss_D_fake 0.009579
[866/5000][80/535][89188] Loss_D: -0.023593 Loss_G: 0.000655 Loss_D_real: -0.016694 Loss_D_fake 0.006899
[866/5000][85/535][89189] Loss_D: -0.022089 Loss_G: 0.029113 Loss_D_real: -0.033111 Loss_D_fake -0.011023
[866/5000][90/535][89190] Loss_D: -0.021578 Loss_G: 0.014854 Loss_D_real: -0.029464 Loss_D_fake -0.007885
[866/5000][95/535][89191] Loss_D: -0.023349 Loss_G: -0.005855 Loss_D_real: -0.016380 Loss_D_fake 0.006969
[866/5000][100/535][89192] Loss_D: -0.022251 Loss_G: -0.004367 Loss_D_real: -0.013953 Loss_D_fake 0.008298
[866/5000][105/535][89193] Loss_D: -0.022298 Loss_G: 0.029471 Loss_D_real: -0.034192 Loss_D_fake -0.011894
[866/5000][110/535][89194] Loss_D: -0.021916 Loss_G: 0.000382 Loss_D_real: -0.009122 Loss_D_fake 0.012794
[866/5000][115/535][89195] Loss_D: -0.021072 Loss_G: 0.004316 Loss_D_real: -0.025806 Loss_D_fake -0.004734
[866/5000][120/535][89196] Loss_D: -0.022109 Loss_G: 0.001215 Loss_D_real: -0.017172 Loss_D_fake 0.004937
[866/5000][125/535][89197] Loss_D: -0.024122 Loss_G: 0.007425 Loss_D_real: -0.014170 Loss_D_fake 0.009952
[866/5000][130/535][89198] Loss_D: -0.023208 Loss_G: 0.022218 Loss_D_real: -0.023775 Loss_D_fake -0.000567
[866/5000][135/535][89199] Loss_D: -0.023343 Loss_G: 0.003377 Loss_D_real: -0.009891 Loss_D_fake 0.013452
[866/5000][140/535][89200] Loss_D: -0.022259 Loss_G: 0.021339 Loss_D_real: -0.030041 Loss_D_fake -0.007782
[866/5000][145/535][89201] Loss_D: -0.022185 Loss_G: 0.023922 Loss_D_real: -0.030312 Loss_D_fake -0.008128
[866/5000][150/535][89202] Loss_D: -0.023607 Loss_G: 0.016939 Loss_D_real: -0.025397 Loss_D_fake -0.001789
[866/5000][155/535][89203] Loss_D: -0.024157 Loss_G: -0.003917 Loss_D_real: -0.012818 Loss_D_fake 0.011339
[866/5000][160/535][89204] Loss_D: -0.024192 Loss_G: 0.003437 Loss_D_real: -0.016653 Loss_D_fake 0.007540
[866/5000][165/535][89205] Loss_D: -0.023003 Loss_G: 0.003500 Loss_D_real: -0.017494 Loss_D_fake 0.005508
[866/5000][170/535][89206] Loss_D: -0.023007 Loss_G: 0.030416 Loss_D_real: -0.027728 Loss_D_fake -0.004721
[866/5000][175/535][89207] Loss_D: -0.022394 Loss_G: -0.006230 Loss_D_real: -0.015267 Loss_D_fake 0.007127
[866/5000][180/535][89208] Loss_D: -0.022979 Loss_G: 0.001458 Loss_D_real: -0.008573 Loss_D_fake 0.014406
[866/5000][185/535][89209] Loss_D: -0.023086 Loss_G: 0.034909 Loss_D_real: -0.038364 Loss_D_fake -0.015278
[866/5000][190/535][89210] Loss_D: -0.022528 Loss_G: 0.000204 Loss_D_real: -0.016317 Loss_D_fake 0.006210
[866/5000][195/535][89211] Loss_D: -0.022409 Loss_G: 0.017984 Loss_D_real: -0.022046 Loss_D_fake 0.000363
[866/5000][200/535][89212] Loss_D: -0.023899 Loss_G: -0.009073 Loss_D_real: -0.018409 Loss_D_fake 0.005490
[866/5000][205/535][89213] Loss_D: -0.021384 Loss_G: 0.019440 Loss_D_real: -0.025415 Loss_D_fake -0.004031
[866/5000][210/535][89214] Loss_D: -0.021963 Loss_G: 0.003210 Loss_D_real: -0.013506 Loss_D_fake 0.008457
[866/5000][215/535][89215] Loss_D: -0.024157 Loss_G: 0.003047 Loss_D_real: -0.014195 Loss_D_fake 0.009962
[866/5000][220/535][89216] Loss_D: -0.022558 Loss_G: 0.029763 Loss_D_real: -0.030719 Loss_D_fake -0.008160
[866/5000][225/535][89217] Loss_D: -0.022749 Loss_G: -0.005507 Loss_D_real: -0.015310 Loss_D_fake 0.007439
[866/5000][230/535][89218] Loss_D: -0.025231 Loss_G: 0.014705 Loss_D_real: -0.014339 Loss_D_fake 0.010891
[866/5000][235/535][89219] Loss_D: -0.024871 Loss_G: 0.022387 Loss_D_real: -0.027601 Loss_D_fake -0.002730
[866/5000][240/535][89220] Loss_D: -0.024445 Loss_G: 0.006725 Loss_D_real: -0.017323 Loss_D_fake 0.007122
[866/5000][245/535][89221] Loss_D: -0.023078 Loss_G: 0.002634 Loss_D_real: -0.015019 Loss_D_fake 0.008059
[866/5000][250/535][89222] Loss_D: -0.023893 Loss_G: 0.012991 Loss_D_real: -0.015565 Loss_D_fake 0.008329
[866/5000][255/535][89223] Loss_D: -0.021813 Loss_G: -0.002066 Loss_D_real: -0.013401 Loss_D_fake 0.008412
[866/5000][260/535][89224] Loss_D: -0.023073 Loss_G: -0.001672 Loss_D_real: -0.009374 Loss_D_fake 0.013698
[866/5000][265/535][89225] Loss_D: -0.022967 Loss_G: 0.002841 Loss_D_real: -0.011464 Loss_D_fake 0.011503
[866/5000][270/535][89226] Loss_D: -0.022737 Loss_G: 0.010266 Loss_D_real: -0.016790 Loss_D_fake 0.005947
[866/5000][275/535][89227] Loss_D: -0.023054 Loss_G: -0.003294 Loss_D_real: -0.010371 Loss_D_fake 0.012683
[866/5000][280/535][89228] Loss_D: -0.022642 Loss_G: 0.022153 Loss_D_real: -0.027774 Loss_D_fake -0.005132
[866/5000][285/535][89229] Loss_D: -0.022544 Loss_G: 0.008667 Loss_D_real: -0.018680 Loss_D_fake 0.003863
[866/5000][290/535][89230] Loss_D: -0.022102 Loss_G: -0.005011 Loss_D_real: -0.008338 Loss_D_fake 0.013764
[866/5000][295/535][89231] Loss_D: -0.023173 Loss_G: 0.006698 Loss_D_real: -0.019217 Loss_D_fake 0.003956
[866/5000][300/535][89232] Loss_D: -0.024501 Loss_G: -0.000930 Loss_D_real: -0.009937 Loss_D_fake 0.014565
[866/5000][305/535][89233] Loss_D: -0.022488 Loss_G: 0.013876 Loss_D_real: -0.019707 Loss_D_fake 0.002781
[866/5000][310/535][89234] Loss_D: -0.023208 Loss_G: -0.000075 Loss_D_real: -0.012792 Loss_D_fake 0.010417
[866/5000][315/535][89235] Loss_D: -0.022984 Loss_G: 0.011343 Loss_D_real: -0.014000 Loss_D_fake 0.008984
[866/5000][320/535][89236] Loss_D: -0.022586 Loss_G: 0.013634 Loss_D_real: -0.025972 Loss_D_fake -0.003386
[866/5000][325/535][89237] Loss_D: -0.022395 Loss_G: 0.012947 Loss_D_real: -0.017821 Loss_D_fake 0.004574
[866/5000][330/535][89238] Loss_D: -0.022904 Loss_G: -0.009446 Loss_D_real: -0.009209 Loss_D_fake 0.013695
[866/5000][335/535][89239] Loss_D: -0.024161 Loss_G: 0.000152 Loss_D_real: -0.012869 Loss_D_fake 0.011292
[866/5000][340/535][89240] Loss_D: -0.023659 Loss_G: -0.002235 Loss_D_real: -0.009452 Loss_D_fake 0.014207
[866/5000][345/535][89241] Loss_D: -0.022874 Loss_G: 0.021459 Loss_D_real: -0.028693 Loss_D_fake -0.005819
[866/5000][350/535][89242] Loss_D: -0.023913 Loss_G: 0.022103 Loss_D_real: -0.029651 Loss_D_fake -0.005738
[866/5000][355/535][89243] Loss_D: -0.023761 Loss_G: 0.012079 Loss_D_real: -0.025772 Loss_D_fake -0.002011
[866/5000][360/535][89244] Loss_D: -0.023632 Loss_G: -0.009579 Loss_D_real: -0.003306 Loss_D_fake 0.020325
[866/5000][365/535][89245] Loss_D: -0.023091 Loss_G: 0.009256 Loss_D_real: -0.025173 Loss_D_fake -0.002081
[866/5000][370/535][89246] Loss_D: -0.024731 Loss_G: -0.010824 Loss_D_real: -0.004464 Loss_D_fake 0.020267
[866/5000][375/535][89247] Loss_D: -0.021403 Loss_G: 0.027783 Loss_D_real: -0.029295 Loss_D_fake -0.007892
[866/5000][380/535][89248] Loss_D: -0.021649 Loss_G: 0.016439 Loss_D_real: -0.026464 Loss_D_fake -0.004815
[866/5000][385/535][89249] Loss_D: -0.022225 Loss_G: 0.016704 Loss_D_real: -0.025444 Loss_D_fake -0.003219
[866/5000][390/535][89250] Loss_D: -0.021294 Loss_G: 0.013522 Loss_D_real: -0.016281 Loss_D_fake 0.005012
[866/5000][395/535][89251] Loss_D: -0.023390 Loss_G: -0.006774 Loss_D_real: -0.007392 Loss_D_fake 0.015998
[866/5000][400/535][89252] Loss_D: -0.023350 Loss_G: 0.015627 Loss_D_real: -0.023679 Loss_D_fake -0.000329
[866/5000][405/535][89253] Loss_D: -0.023041 Loss_G: 0.019793 Loss_D_real: -0.016631 Loss_D_fake 0.006410
[866/5000][410/535][89254] Loss_D: -0.022398 Loss_G: 0.009012 Loss_D_real: -0.020052 Loss_D_fake 0.002346
[866/5000][415/535][89255] Loss_D: -0.023364 Loss_G: -0.010148 Loss_D_real: -0.010112 Loss_D_fake 0.013252
[866/5000][420/535][89256] Loss_D: -0.023359 Loss_G: 0.008487 Loss_D_real: -0.015356 Loss_D_fake 0.008003
[866/5000][425/535][89257] Loss_D: -0.022846 Loss_G: 0.020862 Loss_D_real: -0.026365 Loss_D_fake -0.003520
[866/5000][430/535][89258] Loss_D: -0.022804 Loss_G: -0.010675 Loss_D_real: -0.013752 Loss_D_fake 0.009052
[866/5000][435/535][89259] Loss_D: -0.023354 Loss_G: 0.008195 Loss_D_real: -0.012137 Loss_D_fake 0.011217
[866/5000][440/535][89260] Loss_D: -0.022797 Loss_G: 0.011798 Loss_D_real: -0.012750 Loss_D_fake 0.010047
[866/5000][445/535][89261] Loss_D: -0.022908 Loss_G: 0.006700 Loss_D_real: -0.019587 Loss_D_fake 0.003321
[866/5000][450/535][89262] Loss_D: -0.021897 Loss_G: 0.008074 Loss_D_real: -0.016142 Loss_D_fake 0.005755
[866/5000][455/535][89263] Loss_D: -0.022170 Loss_G: 0.012551 Loss_D_real: -0.013896 Loss_D_fake 0.008274
[866/5000][460/535][89264] Loss_D: -0.023321 Loss_G: -0.006040 Loss_D_real: -0.007217 Loss_D_fake 0.016104
[866/5000][465/535][89265] Loss_D: -0.023437 Loss_G: 0.010620 Loss_D_real: -0.020090 Loss_D_fake 0.003347
[866/5000][470/535][89266] Loss_D: -0.024074 Loss_G: 0.009460 Loss_D_real: -0.021171 Loss_D_fake 0.002903
[866/5000][475/535][89267] Loss_D: -0.021982 Loss_G: 0.025408 Loss_D_real: -0.030004 Loss_D_fake -0.008022
[866/5000][480/535][89268] Loss_D: -0.022589 Loss_G: 0.021283 Loss_D_real: -0.021479 Loss_D_fake 0.001110
[866/5000][485/535][89269] Loss_D: -0.024166 Loss_G: -0.004194 Loss_D_real: -0.010477 Loss_D_fake 0.013689
[866/5000][490/535][89270] Loss_D: -0.021963 Loss_G: 0.027740 Loss_D_real: -0.028635 Loss_D_fake -0.006671
[866/5000][495/535][89271] Loss_D: -0.023220 Loss_G: -0.006887 Loss_D_real: -0.020851 Loss_D_fake 0.002369
[866/5000][500/535][89272] Loss_D: -0.023070 Loss_G: 0.013080 Loss_D_real: -0.019540 Loss_D_fake 0.003530
[866/5000][505/535][89273] Loss_D: -0.023593 Loss_G: -0.000402 Loss_D_real: -0.018439 Loss_D_fake 0.005154
[866/5000][510/535][89274] Loss_D: -0.020932 Loss_G: -0.005903 Loss_D_real: -0.001891 Loss_D_fake 0.019041
[866/5000][515/535][89275] Loss_D: -0.021779 Loss_G: 0.017503 Loss_D_real: -0.024475 Loss_D_fake -0.002696
[866/5000][520/535][89276] Loss_D: -0.022034 Loss_G: 0.007554 Loss_D_real: -0.017718 Loss_D_fake 0.004316
[866/5000][525/535][89277] Loss_D: -0.022365 Loss_G: -0.012590 Loss_D_real: 0.015109 Loss_D_fake 0.037474
[866/5000][530/535][89278] Loss_D: -0.022641 Loss_G: 0.007005 Loss_D_real: -0.023605 Loss_D_fake -0.000964
[866/5000][535/535][89279] Loss_D: -0.025562 Loss_G: 0.032125 Loss_D_real: -0.030663 Loss_D_fake -0.005102
[867/5000][5/535][89280] Loss_D: -0.021487 Loss_G: 0.003106 Loss_D_real: -0.002213 Loss_D_fake 0.019274
[867/5000][10/535][89281] Loss_D: -0.022038 Loss_G: -0.000407 Loss_D_real: -0.013991 Loss_D_fake 0.008047
[867/5000][15/535][89282] Loss_D: -0.021260 Loss_G: 0.027279 Loss_D_real: -0.033337 Loss_D_fake -0.012077
[867/5000][20/535][89283] Loss_D: -0.024405 Loss_G: 0.002639 Loss_D_real: -0.015078 Loss_D_fake 0.009327
[867/5000][25/535][89284] Loss_D: -0.024121 Loss_G: 0.004003 Loss_D_real: -0.016691 Loss_D_fake 0.007429
[867/5000][30/535][89285] Loss_D: -0.022888 Loss_G: 0.009315 Loss_D_real: -0.014673 Loss_D_fake 0.008215
[867/5000][35/535][89286] Loss_D: -0.024162 Loss_G: -0.003717 Loss_D_real: -0.022848 Loss_D_fake 0.001314
[867/5000][40/535][89287] Loss_D: -0.022083 Loss_G: -0.000336 Loss_D_real: -0.013960 Loss_D_fake 0.008123
[867/5000][45/535][89288] Loss_D: -0.025322 Loss_G: 0.003765 Loss_D_real: -0.009429 Loss_D_fake 0.015893
[867/5000][50/535][89289] Loss_D: -0.021274 Loss_G: 0.022594 Loss_D_real: -0.025126 Loss_D_fake -0.003853
[867/5000][55/535][89290] Loss_D: -0.023076 Loss_G: -0.003963 Loss_D_real: -0.006675 Loss_D_fake 0.016401
[867/5000][60/535][89291] Loss_D: -0.022506 Loss_G: 0.009969 Loss_D_real: -0.028783 Loss_D_fake -0.006277
[867/5000][65/535][89292] Loss_D: -0.024423 Loss_G: 0.019446 Loss_D_real: -0.017069 Loss_D_fake 0.007354
[867/5000][70/535][89293] Loss_D: -0.022204 Loss_G: 0.014928 Loss_D_real: -0.019481 Loss_D_fake 0.002723
[867/5000][75/535][89294] Loss_D: -0.021991 Loss_G: 0.007977 Loss_D_real: -0.019892 Loss_D_fake 0.002099
[867/5000][80/535][89295] Loss_D: -0.023423 Loss_G: 0.005712 Loss_D_real: -0.013009 Loss_D_fake 0.010414
[867/5000][85/535][89296] Loss_D: -0.022669 Loss_G: -0.013727 Loss_D_real: -0.005634 Loss_D_fake 0.017035
[867/5000][90/535][89297] Loss_D: -0.022241 Loss_G: 0.016578 Loss_D_real: -0.019303 Loss_D_fake 0.002938
[867/5000][95/535][89298] Loss_D: -0.023307 Loss_G: 0.003913 Loss_D_real: -0.017562 Loss_D_fake 0.005746
[867/5000][100/535][89299] Loss_D: -0.023128 Loss_G: 0.002677 Loss_D_real: -0.014716 Loss_D_fake 0.008412
[867/5000][105/535][89300] Loss_D: -0.024466 Loss_G: 0.014318 Loss_D_real: -0.026587 Loss_D_fake -0.002121
[867/5000][110/535][89301] Loss_D: -0.023061 Loss_G: 0.010978 Loss_D_real: -0.018146 Loss_D_fake 0.004916
[867/5000][115/535][89302] Loss_D: -0.023079 Loss_G: 0.006266 Loss_D_real: -0.015361 Loss_D_fake 0.007718
[867/5000][120/535][89303] Loss_D: -0.023706 Loss_G: -0.002939 Loss_D_real: -0.012640 Loss_D_fake 0.011066
[867/5000][125/535][89304] Loss_D: -0.022053 Loss_G: 0.021601 Loss_D_real: -0.026146 Loss_D_fake -0.004093
[867/5000][130/535][89305] Loss_D: -0.022033 Loss_G: -0.007041 Loss_D_real: -0.005720 Loss_D_fake 0.016313
[867/5000][135/535][89306] Loss_D: -0.021327 Loss_G: -0.006887 Loss_D_real: -0.024500 Loss_D_fake -0.003173
[867/5000][140/535][89307] Loss_D: -0.022383 Loss_G: -0.005657 Loss_D_real: -0.007308 Loss_D_fake 0.015075
[867/5000][145/535][89308] Loss_D: -0.021280 Loss_G: 0.024696 Loss_D_real: -0.027729 Loss_D_fake -0.006449
[867/5000][150/535][89309] Loss_D: -0.022726 Loss_G: 0.012216 Loss_D_real: -0.021478 Loss_D_fake 0.001248
[867/5000][155/535][89310] Loss_D: -0.023155 Loss_G: 0.000780 Loss_D_real: -0.018857 Loss_D_fake 0.004297
[867/5000][160/535][89311] Loss_D: -0.023165 Loss_G: 0.006642 Loss_D_real: -0.013101 Loss_D_fake 0.010064
[867/5000][165/535][89312] Loss_D: -0.024315 Loss_G: 0.006132 Loss_D_real: -0.009933 Loss_D_fake 0.014382
[867/5000][170/535][89313] Loss_D: -0.022619 Loss_G: 0.004885 Loss_D_real: -0.011606 Loss_D_fake 0.011013
[867/5000][175/535][89314] Loss_D: -0.022559 Loss_G: 0.006735 Loss_D_real: -0.020576 Loss_D_fake 0.001982
[867/5000][180/535][89315] Loss_D: -0.022996 Loss_G: -0.000971 Loss_D_real: -0.015658 Loss_D_fake 0.007339
[867/5000][185/535][89316] Loss_D: -0.021915 Loss_G: 0.019287 Loss_D_real: -0.022977 Loss_D_fake -0.001062
[867/5000][190/535][89317] Loss_D: -0.021902 Loss_G: -0.006200 Loss_D_real: -0.015329 Loss_D_fake 0.006573
[867/5000][195/535][89318] Loss_D: -0.022929 Loss_G: 0.015988 Loss_D_real: -0.025693 Loss_D_fake -0.002764
[867/5000][200/535][89319] Loss_D: -0.023405 Loss_G: -0.005833 Loss_D_real: -0.018185 Loss_D_fake 0.005220
[867/5000][205/535][89320] Loss_D: -0.023045 Loss_G: 0.008070 Loss_D_real: -0.014815 Loss_D_fake 0.008231
[867/5000][210/535][89321] Loss_D: -0.024100 Loss_G: -0.002373 Loss_D_real: -0.013102 Loss_D_fake 0.010998
[867/5000][215/535][89322] Loss_D: -0.021747 Loss_G: 0.028051 Loss_D_real: -0.041494 Loss_D_fake -0.019747
[867/5000][220/535][89323] Loss_D: -0.021977 Loss_G: 0.015212 Loss_D_real: -0.029899 Loss_D_fake -0.007923
[867/5000][225/535][89324] Loss_D: -0.023383 Loss_G: 0.006361 Loss_D_real: -0.011784 Loss_D_fake 0.011599
[867/5000][230/535][89325] Loss_D: -0.023956 Loss_G: 0.007555 Loss_D_real: -0.009477 Loss_D_fake 0.014479
[867/5000][235/535][89326] Loss_D: -0.021155 Loss_G: -0.004528 Loss_D_real: -0.009055 Loss_D_fake 0.012100
[867/5000][240/535][89327] Loss_D: -0.021942 Loss_G: 0.022004 Loss_D_real: -0.032537 Loss_D_fake -0.010595
[867/5000][245/535][89328] Loss_D: -0.022428 Loss_G: -0.005843 Loss_D_real: 0.003027 Loss_D_fake 0.025455
[867/5000][250/535][89329] Loss_D: -0.021312 Loss_G: -0.005760 Loss_D_real: -0.005331 Loss_D_fake 0.015981
[867/5000][255/535][89330] Loss_D: -0.022482 Loss_G: -0.002586 Loss_D_real: -0.022235 Loss_D_fake 0.000248
[867/5000][260/535][89331] Loss_D: -0.021645 Loss_G: 0.010051 Loss_D_real: -0.016488 Loss_D_fake 0.005157
[867/5000][265/535][89332] Loss_D: -0.020885 Loss_G: 0.016135 Loss_D_real: -0.023446 Loss_D_fake -0.002561
[867/5000][270/535][89333] Loss_D: -0.022826 Loss_G: -0.008743 Loss_D_real: -0.012461 Loss_D_fake 0.010365
[867/5000][275/535][89334] Loss_D: -0.023784 Loss_G: 0.018792 Loss_D_real: -0.021371 Loss_D_fake 0.002413
[867/5000][280/535][89335] Loss_D: -0.023293 Loss_G: -0.005523 Loss_D_real: -0.009011 Loss_D_fake 0.014282
[867/5000][285/535][89336] Loss_D: -0.022711 Loss_G: 0.019448 Loss_D_real: -0.020051 Loss_D_fake 0.002661
[867/5000][290/535][89337] Loss_D: -0.021205 Loss_G: -0.019462 Loss_D_real: 0.002955 Loss_D_fake 0.024160
[867/5000][295/535][89338] Loss_D: -0.022889 Loss_G: 0.010276 Loss_D_real: -0.018694 Loss_D_fake 0.004195
[867/5000][300/535][89339] Loss_D: -0.023656 Loss_G: -0.000833 Loss_D_real: -0.013045 Loss_D_fake 0.010611
[867/5000][305/535][89340] Loss_D: -0.023389 Loss_G: 0.023955 Loss_D_real: -0.030291 Loss_D_fake -0.006901
[867/5000][310/535][89341] Loss_D: -0.022196 Loss_G: -0.006405 Loss_D_real: -0.006060 Loss_D_fake 0.016136
[867/5000][315/535][89342] Loss_D: -0.023001 Loss_G: 0.003543 Loss_D_real: -0.016522 Loss_D_fake 0.006478
[867/5000][320/535][89343] Loss_D: -0.021725 Loss_G: 0.031298 Loss_D_real: -0.023440 Loss_D_fake -0.001715
[867/5000][325/535][89344] Loss_D: -0.022029 Loss_G: -0.008420 Loss_D_real: -0.013709 Loss_D_fake 0.008320
[867/5000][330/535][89345] Loss_D: -0.022047 Loss_G: 0.003397 Loss_D_real: -0.028310 Loss_D_fake -0.006263
[867/5000][335/535][89346] Loss_D: -0.022027 Loss_G: 0.012498 Loss_D_real: -0.022448 Loss_D_fake -0.000421
[867/5000][340/535][89347] Loss_D: -0.022660 Loss_G: 0.029207 Loss_D_real: -0.026667 Loss_D_fake -0.004007
[867/5000][345/535][89348] Loss_D: -0.022296 Loss_G: 0.003918 Loss_D_real: -0.015439 Loss_D_fake 0.006856
[867/5000][350/535][89349] Loss_D: -0.023600 Loss_G: 0.015913 Loss_D_real: -0.029167 Loss_D_fake -0.005567
[867/5000][355/535][89350] Loss_D: -0.022997 Loss_G: -0.004782 Loss_D_real: -0.000972 Loss_D_fake 0.022025
[867/5000][360/535][89351] Loss_D: -0.022092 Loss_G: 0.017721 Loss_D_real: -0.009818 Loss_D_fake 0.012273
[867/5000][365/535][89352] Loss_D: -0.023411 Loss_G: 0.014177 Loss_D_real: -0.017302 Loss_D_fake 0.006108
[867/5000][370/535][89353] Loss_D: -0.023858 Loss_G: -0.005501 Loss_D_real: -0.001387 Loss_D_fake 0.022471
[867/5000][375/535][89354] Loss_D: -0.023572 Loss_G: 0.012470 Loss_D_real: -0.021077 Loss_D_fake 0.002495
[867/5000][380/535][89355] Loss_D: -0.023164 Loss_G: 0.013497 Loss_D_real: -0.024158 Loss_D_fake -0.000994
[867/5000][385/535][89356] Loss_D: -0.023115 Loss_G: 0.033680 Loss_D_real: -0.029937 Loss_D_fake -0.006822
[867/5000][390/535][89357] Loss_D: -0.021197 Loss_G: 0.026680 Loss_D_real: -0.038251 Loss_D_fake -0.017054
[867/5000][395/535][89358] Loss_D: -0.022574 Loss_G: 0.001929 Loss_D_real: -0.008819 Loss_D_fake 0.013756
[867/5000][400/535][89359] Loss_D: -0.023950 Loss_G: 0.018821 Loss_D_real: -0.018175 Loss_D_fake 0.005775
[867/5000][405/535][89360] Loss_D: -0.023746 Loss_G: -0.000367 Loss_D_real: -0.017749 Loss_D_fake 0.005997
[867/5000][410/535][89361] Loss_D: -0.022870 Loss_G: 0.003632 Loss_D_real: -0.017518 Loss_D_fake 0.005353
[867/5000][415/535][89362] Loss_D: -0.023238 Loss_G: 0.005083 Loss_D_real: -0.013920 Loss_D_fake 0.009318
[867/5000][420/535][89363] Loss_D: -0.023693 Loss_G: -0.009857 Loss_D_real: -0.009497 Loss_D_fake 0.014196
[867/5000][425/535][89364] Loss_D: -0.022287 Loss_G: 0.012211 Loss_D_real: -0.016399 Loss_D_fake 0.005888
[867/5000][430/535][89365] Loss_D: -0.023480 Loss_G: 0.007999 Loss_D_real: -0.015106 Loss_D_fake 0.008375
[867/5000][435/535][89366] Loss_D: -0.022592 Loss_G: 0.025574 Loss_D_real: -0.023166 Loss_D_fake -0.000573
[867/5000][440/535][89367] Loss_D: -0.024151 Loss_G: 0.017579 Loss_D_real: -0.021493 Loss_D_fake 0.002658
[867/5000][445/535][89368] Loss_D: -0.024127 Loss_G: 0.026669 Loss_D_real: -0.025108 Loss_D_fake -0.000980
[867/5000][450/535][89369] Loss_D: -0.022674 Loss_G: 0.000865 Loss_D_real: -0.017720 Loss_D_fake 0.004954
[867/5000][455/535][89370] Loss_D: -0.023820 Loss_G: 0.003011 Loss_D_real: -0.031727 Loss_D_fake -0.007907
[867/5000][460/535][89371] Loss_D: -0.022093 Loss_G: 0.030281 Loss_D_real: -0.033673 Loss_D_fake -0.011580
[867/5000][465/535][89372] Loss_D: -0.022615 Loss_G: 0.019068 Loss_D_real: -0.024636 Loss_D_fake -0.002021
[867/5000][470/535][89373] Loss_D: -0.022230 Loss_G: -0.010555 Loss_D_real: -0.010538 Loss_D_fake 0.011692
[867/5000][475/535][89374] Loss_D: -0.021712 Loss_G: 0.015126 Loss_D_real: -0.030690 Loss_D_fake -0.008978
[867/5000][480/535][89375] Loss_D: -0.022804 Loss_G: 0.010704 Loss_D_real: -0.034910 Loss_D_fake -0.012106
[867/5000][485/535][89376] Loss_D: -0.022265 Loss_G: 0.006049 Loss_D_real: -0.028488 Loss_D_fake -0.006223
[867/5000][490/535][89377] Loss_D: -0.023559 Loss_G: 0.015251 Loss_D_real: -0.024763 Loss_D_fake -0.001204
[867/5000][495/535][89378] Loss_D: -0.022933 Loss_G: 0.020832 Loss_D_real: -0.018444 Loss_D_fake 0.004489
[867/5000][500/535][89379] Loss_D: -0.023387 Loss_G: 0.011779 Loss_D_real: -0.023503 Loss_D_fake -0.000116
[867/5000][505/535][89380] Loss_D: -0.023168 Loss_G: -0.002949 Loss_D_real: -0.012920 Loss_D_fake 0.010249
[867/5000][510/535][89381] Loss_D: -0.023299 Loss_G: 0.000865 Loss_D_real: -0.013347 Loss_D_fake 0.009952
[867/5000][515/535][89382] Loss_D: -0.023017 Loss_G: 0.021619 Loss_D_real: -0.031761 Loss_D_fake -0.008745
[867/5000][520/535][89383] Loss_D: -0.023031 Loss_G: 0.003043 Loss_D_real: -0.014991 Loss_D_fake 0.008040
[867/5000][525/535][89384] Loss_D: -0.022368 Loss_G: 0.010198 Loss_D_real: -0.018045 Loss_D_fake 0.004323
[867/5000][530/535][89385] Loss_D: -0.024700 Loss_G: 0.014593 Loss_D_real: -0.023838 Loss_D_fake 0.000863
[867/5000][535/535][89386] Loss_D: -0.025933 Loss_G: 0.036489 Loss_D_real: -0.019097 Loss_D_fake 0.006836
[868/5000][5/535][89387] Loss_D: -0.023365 Loss_G: 0.009312 Loss_D_real: -0.017146 Loss_D_fake 0.006219
[868/5000][10/535][89388] Loss_D: -0.023281 Loss_G: 0.006563 Loss_D_real: -0.019699 Loss_D_fake 0.003582
[868/5000][15/535][89389] Loss_D: -0.022853 Loss_G: 0.023389 Loss_D_real: -0.029960 Loss_D_fake -0.007107
[868/5000][20/535][89390] Loss_D: -0.022931 Loss_G: 0.026922 Loss_D_real: -0.032082 Loss_D_fake -0.009152
[868/5000][25/535][89391] Loss_D: -0.023083 Loss_G: 0.012685 Loss_D_real: -0.015560 Loss_D_fake 0.007522
[868/5000][30/535][89392] Loss_D: -0.022974 Loss_G: 0.003466 Loss_D_real: -0.018726 Loss_D_fake 0.004249
[868/5000][35/535][89393] Loss_D: -0.023205 Loss_G: 0.014855 Loss_D_real: -0.014104 Loss_D_fake 0.009101
[868/5000][40/535][89394] Loss_D: -0.021315 Loss_G: 0.028788 Loss_D_real: -0.032254 Loss_D_fake -0.010939
[868/5000][45/535][89395] Loss_D: -0.022787 Loss_G: 0.006579 Loss_D_real: -0.015805 Loss_D_fake 0.006982
[868/5000][50/535][89396] Loss_D: -0.024000 Loss_G: 0.003954 Loss_D_real: -0.015829 Loss_D_fake 0.008170
[868/5000][55/535][89397] Loss_D: -0.022731 Loss_G: 0.016621 Loss_D_real: -0.022417 Loss_D_fake 0.000314
[868/5000][60/535][89398] Loss_D: -0.022386 Loss_G: 0.015417 Loss_D_real: -0.025499 Loss_D_fake -0.003112
[868/5000][65/535][89399] Loss_D: -0.023278 Loss_G: 0.011851 Loss_D_real: -0.012597 Loss_D_fake 0.010681
[868/5000][70/535][89400] Loss_D: -0.023293 Loss_G: -0.002740 Loss_D_real: -0.008219 Loss_D_fake 0.015074
[868/5000][75/535][89401] Loss_D: -0.022693 Loss_G: 0.007957 Loss_D_real: -0.027586 Loss_D_fake -0.004893
[868/5000][80/535][89402] Loss_D: -0.023306 Loss_G: 0.020686 Loss_D_real: -0.023697 Loss_D_fake -0.000392
[868/5000][85/535][89403] Loss_D: -0.022539 Loss_G: -0.015255 Loss_D_real: 0.003096 Loss_D_fake 0.025636
[868/5000][90/535][89404] Loss_D: -0.022119 Loss_G: -0.007948 Loss_D_real: -0.010020 Loss_D_fake 0.012098
[868/5000][95/535][89405] Loss_D: -0.024310 Loss_G: 0.010035 Loss_D_real: -0.006232 Loss_D_fake 0.018078
[868/5000][100/535][89406] Loss_D: -0.023747 Loss_G: -0.007535 Loss_D_real: -0.009443 Loss_D_fake 0.014304
[868/5000][105/535][89407] Loss_D: -0.023049 Loss_G: 0.009095 Loss_D_real: -0.014634 Loss_D_fake 0.008414
[868/5000][110/535][89408] Loss_D: -0.022909 Loss_G: -0.017419 Loss_D_real: -0.008886 Loss_D_fake 0.014024
[868/5000][115/535][89409] Loss_D: -0.022293 Loss_G: 0.007280 Loss_D_real: -0.017642 Loss_D_fake 0.004652
[868/5000][120/535][89410] Loss_D: -0.022685 Loss_G: 0.021581 Loss_D_real: -0.027746 Loss_D_fake -0.005061
[868/5000][125/535][89411] Loss_D: -0.022426 Loss_G: 0.022813 Loss_D_real: -0.022469 Loss_D_fake -0.000044
[868/5000][130/535][89412] Loss_D: -0.018909 Loss_G: -0.014621 Loss_D_real: 0.009161 Loss_D_fake 0.028070
[868/5000][135/535][89413] Loss_D: -0.021505 Loss_G: 0.023441 Loss_D_real: -0.035178 Loss_D_fake -0.013672
[868/5000][140/535][89414] Loss_D: -0.024598 Loss_G: 0.016289 Loss_D_real: -0.025503 Loss_D_fake -0.000904
[868/5000][145/535][89415] Loss_D: -0.022222 Loss_G: 0.025632 Loss_D_real: -0.034580 Loss_D_fake -0.012358
[868/5000][150/535][89416] Loss_D: -0.023792 Loss_G: 0.011652 Loss_D_real: -0.026327 Loss_D_fake -0.002535
[868/5000][155/535][89417] Loss_D: -0.023235 Loss_G: 0.007917 Loss_D_real: -0.010681 Loss_D_fake 0.012554
[868/5000][160/535][89418] Loss_D: -0.023759 Loss_G: 0.011213 Loss_D_real: -0.029021 Loss_D_fake -0.005262
[868/5000][165/535][89419] Loss_D: -0.023746 Loss_G: -0.011402 Loss_D_real: -0.009972 Loss_D_fake 0.013775
[868/5000][170/535][89420] Loss_D: -0.022200 Loss_G: 0.009125 Loss_D_real: -0.015931 Loss_D_fake 0.006269
[868/5000][175/535][89421] Loss_D: -0.023352 Loss_G: 0.000290 Loss_D_real: -0.014447 Loss_D_fake 0.008905
[868/5000][180/535][89422] Loss_D: -0.021713 Loss_G: -0.011848 Loss_D_real: -0.000944 Loss_D_fake 0.020769
[868/5000][185/535][89423] Loss_D: -0.023361 Loss_G: 0.006071 Loss_D_real: -0.009030 Loss_D_fake 0.014331
[868/5000][190/535][89424] Loss_D: -0.021184 Loss_G: -0.012703 Loss_D_real: -0.009515 Loss_D_fake 0.011670
[868/5000][195/535][89425] Loss_D: -0.022491 Loss_G: 0.024557 Loss_D_real: -0.021149 Loss_D_fake 0.001343
[868/5000][200/535][89426] Loss_D: -0.023392 Loss_G: 0.007125 Loss_D_real: -0.012633 Loss_D_fake 0.010760
[868/5000][205/535][89427] Loss_D: -0.021382 Loss_G: 0.002722 Loss_D_real: -0.006911 Loss_D_fake 0.014470
[868/5000][210/535][89428] Loss_D: -0.023308 Loss_G: 0.022243 Loss_D_real: -0.031827 Loss_D_fake -0.008519
[868/5000][215/535][89429] Loss_D: -0.022014 Loss_G: 0.013969 Loss_D_real: -0.025008 Loss_D_fake -0.002994
[868/5000][220/535][89430] Loss_D: -0.022328 Loss_G: 0.001781 Loss_D_real: -0.014314 Loss_D_fake 0.008014
[868/5000][225/535][89431] Loss_D: -0.021275 Loss_G: 0.018467 Loss_D_real: -0.026141 Loss_D_fake -0.004866
[868/5000][230/535][89432] Loss_D: -0.023340 Loss_G: -0.006770 Loss_D_real: -0.015078 Loss_D_fake 0.008261
[868/5000][235/535][89433] Loss_D: -0.020942 Loss_G: 0.016590 Loss_D_real: -0.032037 Loss_D_fake -0.011094
[868/5000][240/535][89434] Loss_D: -0.022620 Loss_G: 0.011783 Loss_D_real: -0.026226 Loss_D_fake -0.003606
[868/5000][245/535][89435] Loss_D: -0.022449 Loss_G: 0.012231 Loss_D_real: -0.021608 Loss_D_fake 0.000841
[868/5000][250/535][89436] Loss_D: -0.022775 Loss_G: -0.008974 Loss_D_real: -0.007466 Loss_D_fake 0.015309
[868/5000][255/535][89437] Loss_D: -0.022951 Loss_G: -0.009075 Loss_D_real: -0.008530 Loss_D_fake 0.014421
[868/5000][260/535][89438] Loss_D: -0.022742 Loss_G: 0.014243 Loss_D_real: -0.020075 Loss_D_fake 0.002667
[868/5000][265/535][89439] Loss_D: -0.022924 Loss_G: -0.003530 Loss_D_real: -0.013787 Loss_D_fake 0.009137
[868/5000][270/535][89440] Loss_D: -0.021933 Loss_G: 0.006416 Loss_D_real: -0.008741 Loss_D_fake 0.013192
[868/5000][275/535][89441] Loss_D: -0.022219 Loss_G: 0.018404 Loss_D_real: -0.029360 Loss_D_fake -0.007141
[868/5000][280/535][89442] Loss_D: -0.022924 Loss_G: 0.001764 Loss_D_real: -0.014194 Loss_D_fake 0.008730
[868/5000][285/535][89443] Loss_D: -0.022964 Loss_G: -0.004320 Loss_D_real: -0.019697 Loss_D_fake 0.003267
[868/5000][290/535][89444] Loss_D: -0.023642 Loss_G: 0.004211 Loss_D_real: -0.013310 Loss_D_fake 0.010333
[868/5000][295/535][89445] Loss_D: -0.021976 Loss_G: 0.029556 Loss_D_real: -0.035285 Loss_D_fake -0.013309
[868/5000][300/535][89446] Loss_D: -0.022843 Loss_G: -0.005006 Loss_D_real: 0.005940 Loss_D_fake 0.028783
[868/5000][305/535][89447] Loss_D: -0.023355 Loss_G: 0.005060 Loss_D_real: -0.023601 Loss_D_fake -0.000246
[868/5000][310/535][89448] Loss_D: -0.024307 Loss_G: 0.009889 Loss_D_real: -0.022555 Loss_D_fake 0.001752
[868/5000][315/535][89449] Loss_D: -0.024823 Loss_G: 0.008647 Loss_D_real: -0.023531 Loss_D_fake 0.001292
[868/5000][320/535][89450] Loss_D: -0.023084 Loss_G: 0.005570 Loss_D_real: -0.010680 Loss_D_fake 0.012404
[868/5000][325/535][89451] Loss_D: -0.022220 Loss_G: 0.014433 Loss_D_real: -0.030064 Loss_D_fake -0.007844
[868/5000][330/535][89452] Loss_D: -0.023888 Loss_G: -0.008580 Loss_D_real: -0.017408 Loss_D_fake 0.006480
[868/5000][335/535][89453] Loss_D: -0.022734 Loss_G: 0.006958 Loss_D_real: -0.013630 Loss_D_fake 0.009104
[868/5000][340/535][89454] Loss_D: -0.023700 Loss_G: 0.022197 Loss_D_real: -0.027958 Loss_D_fake -0.004259
[868/5000][345/535][89455] Loss_D: -0.022707 Loss_G: 0.010383 Loss_D_real: -0.024802 Loss_D_fake -0.002095
[868/5000][350/535][89456] Loss_D: -0.024268 Loss_G: -0.000117 Loss_D_real: -0.014963 Loss_D_fake 0.009305
[868/5000][355/535][89457] Loss_D: -0.024923 Loss_G: 0.001212 Loss_D_real: 0.002792 Loss_D_fake 0.027715
[868/5000][360/535][89458] Loss_D: -0.022514 Loss_G: 0.015294 Loss_D_real: -0.028612 Loss_D_fake -0.006098
[868/5000][365/535][89459] Loss_D: -0.022069 Loss_G: 0.003596 Loss_D_real: -0.010475 Loss_D_fake 0.011594
[868/5000][370/535][89460] Loss_D: -0.023336 Loss_G: 0.028227 Loss_D_real: -0.023228 Loss_D_fake 0.000108
[868/5000][375/535][89461] Loss_D: -0.022981 Loss_G: -0.006327 Loss_D_real: -0.009074 Loss_D_fake 0.013907
[868/5000][380/535][89462] Loss_D: -0.022513 Loss_G: -0.004033 Loss_D_real: -0.009458 Loss_D_fake 0.013054
[868/5000][385/535][89463] Loss_D: -0.022369 Loss_G: 0.005750 Loss_D_real: -0.017102 Loss_D_fake 0.005267
[868/5000][390/535][89464] Loss_D: -0.022243 Loss_G: -0.001018 Loss_D_real: -0.013774 Loss_D_fake 0.008468
[868/5000][395/535][89465] Loss_D: -0.023111 Loss_G: 0.016549 Loss_D_real: -0.018644 Loss_D_fake 0.004467
[868/5000][400/535][89466] Loss_D: -0.023532 Loss_G: -0.000410 Loss_D_real: -0.011160 Loss_D_fake 0.012373
[868/5000][405/535][89467] Loss_D: -0.023373 Loss_G: 0.017541 Loss_D_real: -0.021058 Loss_D_fake 0.002314
[868/5000][410/535][89468] Loss_D: -0.023174 Loss_G: 0.021792 Loss_D_real: -0.022599 Loss_D_fake 0.000575
[868/5000][415/535][89469] Loss_D: -0.023427 Loss_G: 0.011944 Loss_D_real: -0.012817 Loss_D_fake 0.010610
[868/5000][420/535][89470] Loss_D: -0.023444 Loss_G: 0.016241 Loss_D_real: -0.011032 Loss_D_fake 0.012412
[868/5000][425/535][89471] Loss_D: -0.023840 Loss_G: 0.013790 Loss_D_real: -0.013304 Loss_D_fake 0.010536
[868/5000][430/535][89472] Loss_D: -0.022368 Loss_G: 0.004059 Loss_D_real: -0.016520 Loss_D_fake 0.005847
[868/5000][435/535][89473] Loss_D: -0.023032 Loss_G: 0.007807 Loss_D_real: -0.020897 Loss_D_fake 0.002135
[868/5000][440/535][89474] Loss_D: -0.022586 Loss_G: 0.023583 Loss_D_real: -0.029586 Loss_D_fake -0.006999
[868/5000][445/535][89475] Loss_D: -0.023090 Loss_G: 0.004658 Loss_D_real: -0.016108 Loss_D_fake 0.006982
[868/5000][450/535][89476] Loss_D: -0.023515 Loss_G: 0.014283 Loss_D_real: -0.018110 Loss_D_fake 0.005405
[868/5000][455/535][89477] Loss_D: -0.022233 Loss_G: 0.018977 Loss_D_real: -0.023370 Loss_D_fake -0.001137
[868/5000][460/535][89478] Loss_D: -0.022000 Loss_G: -0.013199 Loss_D_real: 0.002357 Loss_D_fake 0.024357
[868/5000][465/535][89479] Loss_D: -0.023551 Loss_G: 0.006787 Loss_D_real: -0.022344 Loss_D_fake 0.001207
[868/5000][470/535][89480] Loss_D: -0.022720 Loss_G: 0.020249 Loss_D_real: -0.029545 Loss_D_fake -0.006825
[868/5000][475/535][89481] Loss_D: -0.023117 Loss_G: 0.009613 Loss_D_real: -0.018588 Loss_D_fake 0.004529
[868/5000][480/535][89482] Loss_D: -0.023302 Loss_G: 0.002114 Loss_D_real: -0.029375 Loss_D_fake -0.006073
[868/5000][485/535][89483] Loss_D: -0.023352 Loss_G: 0.022286 Loss_D_real: -0.032672 Loss_D_fake -0.009321
[868/5000][490/535][89484] Loss_D: -0.022730 Loss_G: 0.023142 Loss_D_real: -0.025312 Loss_D_fake -0.002582
[868/5000][495/535][89485] Loss_D: -0.022823 Loss_G: 0.010973 Loss_D_real: -0.023281 Loss_D_fake -0.000458
[868/5000][500/535][89486] Loss_D: -0.024501 Loss_G: -0.002230 Loss_D_real: -0.009454 Loss_D_fake 0.015047
[868/5000][505/535][89487] Loss_D: -0.022844 Loss_G: 0.008113 Loss_D_real: -0.013121 Loss_D_fake 0.009724
[868/5000][510/535][89488] Loss_D: -0.022707 Loss_G: 0.001769 Loss_D_real: -0.020885 Loss_D_fake 0.001823
[868/5000][515/535][89489] Loss_D: -0.022568 Loss_G: 0.011519 Loss_D_real: -0.012077 Loss_D_fake 0.010491
[868/5000][520/535][89490] Loss_D: -0.022147 Loss_G: 0.023305 Loss_D_real: -0.031925 Loss_D_fake -0.009778
[868/5000][525/535][89491] Loss_D: -0.023191 Loss_G: -0.012544 Loss_D_real: -0.004967 Loss_D_fake 0.018223
[868/5000][530/535][89492] Loss_D: -0.022172 Loss_G: 0.001923 Loss_D_real: -0.003893 Loss_D_fake 0.018280
[868/5000][535/535][89493] Loss_D: -0.021525 Loss_G: -0.002796 Loss_D_real: 0.003899 Loss_D_fake 0.025424
[869/5000][5/535][89494] Loss_D: -0.023471 Loss_G: 0.003920 Loss_D_real: -0.019781 Loss_D_fake 0.003690
[869/5000][10/535][89495] Loss_D: -0.022916 Loss_G: 0.016867 Loss_D_real: -0.018204 Loss_D_fake 0.004712
[869/5000][15/535][89496] Loss_D: -0.021838 Loss_G: 0.011561 Loss_D_real: -0.021524 Loss_D_fake 0.000315
[869/5000][20/535][89497] Loss_D: -0.023206 Loss_G: 0.008591 Loss_D_real: -0.028660 Loss_D_fake -0.005454
[869/5000][25/535][89498] Loss_D: -0.024042 Loss_G: 0.015677 Loss_D_real: -0.014677 Loss_D_fake 0.009365
[869/5000][30/535][89499] Loss_D: -0.023085 Loss_G: -0.003001 Loss_D_real: -0.026634 Loss_D_fake -0.003549
[869/5000][35/535][89500] Loss_D: -0.023077 Loss_G: -0.001169 Loss_D_real: -0.006930 Loss_D_fake 0.016147
[869/5000][135/535][89501] Loss_D: -0.027112 Loss_G: 0.014096 Loss_D_real: -0.019184 Loss_D_fake 0.007928
[869/5000][140/535][89502] Loss_D: -0.024632 Loss_G: 0.002290 Loss_D_real: -0.016437 Loss_D_fake 0.008195
[869/5000][145/535][89503] Loss_D: -0.022109 Loss_G: 0.008829 Loss_D_real: -0.016761 Loss_D_fake 0.005348
[869/5000][150/535][89504] Loss_D: -0.020963 Loss_G: 0.003008 Loss_D_real: -0.006957 Loss_D_fake 0.014005
[869/5000][155/535][89505] Loss_D: -0.021362 Loss_G: 0.005706 Loss_D_real: -0.011266 Loss_D_fake 0.010096
[869/5000][160/535][89506] Loss_D: -0.022056 Loss_G: 0.015001 Loss_D_real: -0.025852 Loss_D_fake -0.003797
[869/5000][165/535][89507] Loss_D: -0.022761 Loss_G: 0.006687 Loss_D_real: -0.013533 Loss_D_fake 0.009227
[869/5000][170/535][89508] Loss_D: -0.022952 Loss_G: 0.007413 Loss_D_real: -0.013150 Loss_D_fake 0.009802
[869/5000][175/535][89509] Loss_D: -0.021029 Loss_G: 0.014703 Loss_D_real: -0.023749 Loss_D_fake -0.002720
[869/5000][180/535][89510] Loss_D: -0.024475 Loss_G: 0.000789 Loss_D_real: -0.012683 Loss_D_fake 0.011792
[869/5000][185/535][89511] Loss_D: -0.020843 Loss_G: 0.026641 Loss_D_real: -0.033159 Loss_D_fake -0.012316
[869/5000][190/535][89512] Loss_D: -0.022019 Loss_G: 0.013133 Loss_D_real: -0.027555 Loss_D_fake -0.005535
[869/5000][195/535][89513] Loss_D: -0.022591 Loss_G: 0.016102 Loss_D_real: -0.035714 Loss_D_fake -0.013123
[869/5000][200/535][89514] Loss_D: -0.023658 Loss_G: 0.000514 Loss_D_real: -0.020507 Loss_D_fake 0.003151
[869/5000][205/535][89515] Loss_D: -0.022823 Loss_G: 0.003667 Loss_D_real: -0.018217 Loss_D_fake 0.004607
[869/5000][210/535][89516] Loss_D: -0.022538 Loss_G: 0.018186 Loss_D_real: -0.022274 Loss_D_fake 0.000264
[869/5000][215/535][89517] Loss_D: -0.022656 Loss_G: -0.000989 Loss_D_real: -0.012953 Loss_D_fake 0.009703
[869/5000][220/535][89518] Loss_D: -0.023416 Loss_G: 0.005058 Loss_D_real: -0.020917 Loss_D_fake 0.002499
[869/5000][225/535][89519] Loss_D: -0.023682 Loss_G: 0.010830 Loss_D_real: -0.026940 Loss_D_fake -0.003257
[869/5000][230/535][89520] Loss_D: -0.022392 Loss_G: 0.003935 Loss_D_real: -0.013007 Loss_D_fake 0.009385
[869/5000][235/535][89521] Loss_D: -0.023223 Loss_G: 0.004925 Loss_D_real: -0.012429 Loss_D_fake 0.010794
[869/5000][240/535][89522] Loss_D: -0.021424 Loss_G: 0.016510 Loss_D_real: -0.031840 Loss_D_fake -0.010416
[869/5000][245/535][89523] Loss_D: -0.023432 Loss_G: 0.003195 Loss_D_real: -0.016826 Loss_D_fake 0.006606
[869/5000][250/535][89524] Loss_D: -0.023046 Loss_G: 0.016747 Loss_D_real: -0.021286 Loss_D_fake 0.001759
[869/5000][255/535][89525] Loss_D: -0.021222 Loss_G: -0.021132 Loss_D_real: -0.000302 Loss_D_fake 0.020920
[869/5000][260/535][89526] Loss_D: -0.021616 Loss_G: 0.019758 Loss_D_real: -0.027032 Loss_D_fake -0.005417
[869/5000][265/535][89527] Loss_D: -0.022621 Loss_G: 0.009821 Loss_D_real: -0.027089 Loss_D_fake -0.004468
[869/5000][270/535][89528] Loss_D: -0.022677 Loss_G: -0.000567 Loss_D_real: 0.000928 Loss_D_fake 0.023605
[869/5000][275/535][89529] Loss_D: -0.023413 Loss_G: 0.020586 Loss_D_real: -0.032868 Loss_D_fake -0.009455
[869/5000][280/535][89530] Loss_D: -0.022586 Loss_G: -0.002363 Loss_D_real: -0.006394 Loss_D_fake 0.016192
[869/5000][285/535][89531] Loss_D: -0.023558 Loss_G: 0.017027 Loss_D_real: -0.016221 Loss_D_fake 0.007337
[869/5000][290/535][89532] Loss_D: -0.023590 Loss_G: -0.000223 Loss_D_real: -0.018573 Loss_D_fake 0.005018
[869/5000][295/535][89533] Loss_D: -0.022270 Loss_G: -0.001079 Loss_D_real: -0.005838 Loss_D_fake 0.016432
[869/5000][300/535][89534] Loss_D: -0.021515 Loss_G: 0.019712 Loss_D_real: -0.032943 Loss_D_fake -0.011428
[869/5000][305/535][89535] Loss_D: -0.022660 Loss_G: 0.016699 Loss_D_real: -0.023841 Loss_D_fake -0.001180
[869/5000][310/535][89536] Loss_D: -0.023326 Loss_G: 0.020948 Loss_D_real: -0.027122 Loss_D_fake -0.003796
[869/5000][315/535][89537] Loss_D: -0.022537 Loss_G: 0.004267 Loss_D_real: -0.017073 Loss_D_fake 0.005464
[869/5000][320/535][89538] Loss_D: -0.025197 Loss_G: -0.002631 Loss_D_real: -0.010987 Loss_D_fake 0.014210
[869/5000][325/535][89539] Loss_D: -0.022321 Loss_G: -0.001603 Loss_D_real: -0.007133 Loss_D_fake 0.015188
[869/5000][330/535][89540] Loss_D: -0.022944 Loss_G: 0.026179 Loss_D_real: -0.034872 Loss_D_fake -0.011928
[869/5000][335/535][89541] Loss_D: -0.022984 Loss_G: 0.003851 Loss_D_real: -0.004365 Loss_D_fake 0.018619
[869/5000][340/535][89542] Loss_D: -0.022324 Loss_G: -0.001323 Loss_D_real: -0.009731 Loss_D_fake 0.012593
[869/5000][345/535][89543] Loss_D: -0.020923 Loss_G: -0.000988 Loss_D_real: -0.010072 Loss_D_fake 0.010851
[869/5000][350/535][89544] Loss_D: -0.022101 Loss_G: -0.001722 Loss_D_real: -0.009614 Loss_D_fake 0.012487
[869/5000][355/535][89545] Loss_D: -0.023321 Loss_G: 0.015005 Loss_D_real: -0.025795 Loss_D_fake -0.002473
[869/5000][360/535][89546] Loss_D: -0.022385 Loss_G: -0.008190 Loss_D_real: -0.001977 Loss_D_fake 0.020408
[869/5000][365/535][89547] Loss_D: -0.023471 Loss_G: 0.015464 Loss_D_real: -0.024382 Loss_D_fake -0.000912
[869/5000][370/535][89548] Loss_D: -0.024547 Loss_G: -0.006313 Loss_D_real: -0.020913 Loss_D_fake 0.003634
[869/5000][375/535][89549] Loss_D: -0.023544 Loss_G: 0.012296 Loss_D_real: -0.022866 Loss_D_fake 0.000678
[869/5000][380/535][89550] Loss_D: -0.023680 Loss_G: 0.008450 Loss_D_real: -0.021878 Loss_D_fake 0.001802
[869/5000][385/535][89551] Loss_D: -0.022270 Loss_G: 0.012231 Loss_D_real: 0.000451 Loss_D_fake 0.022721
[869/5000][390/535][89552] Loss_D: -0.022765 Loss_G: 0.014184 Loss_D_real: -0.025790 Loss_D_fake -0.003025
[869/5000][395/535][89553] Loss_D: -0.022033 Loss_G: 0.017188 Loss_D_real: -0.017398 Loss_D_fake 0.004635
[869/5000][400/535][89554] Loss_D: -0.023858 Loss_G: 0.005237 Loss_D_real: -0.008888 Loss_D_fake 0.014970
[869/5000][405/535][89555] Loss_D: -0.022366 Loss_G: -0.007554 Loss_D_real: -0.010651 Loss_D_fake 0.011715
[869/5000][410/535][89556] Loss_D: -0.022870 Loss_G: 0.006193 Loss_D_real: -0.019778 Loss_D_fake 0.003092
[869/5000][415/535][89557] Loss_D: -0.022726 Loss_G: 0.002296 Loss_D_real: -0.014421 Loss_D_fake 0.008305
[869/5000][420/535][89558] Loss_D: -0.023242 Loss_G: 0.011627 Loss_D_real: -0.018374 Loss_D_fake 0.004868
[869/5000][425/535][89559] Loss_D: -0.019536 Loss_G: 0.033012 Loss_D_real: -0.040882 Loss_D_fake -0.021346
[869/5000][430/535][89560] Loss_D: -0.022492 Loss_G: -0.013361 Loss_D_real: -0.005639 Loss_D_fake 0.016852
[869/5000][435/535][89561] Loss_D: -0.023937 Loss_G: 0.025182 Loss_D_real: -0.024901 Loss_D_fake -0.000964
[869/5000][440/535][89562] Loss_D: -0.022150 Loss_G: 0.010445 Loss_D_real: -0.024741 Loss_D_fake -0.002591
[869/5000][445/535][89563] Loss_D: -0.021912 Loss_G: 0.013159 Loss_D_real: -0.031304 Loss_D_fake -0.009392
[869/5000][450/535][89564] Loss_D: -0.023607 Loss_G: 0.006812 Loss_D_real: -0.017306 Loss_D_fake 0.006301
[869/5000][455/535][89565] Loss_D: -0.020638 Loss_G: -0.017345 Loss_D_real: 0.002698 Loss_D_fake 0.023336
[869/5000][460/535][89566] Loss_D: -0.022334 Loss_G: 0.019445 Loss_D_real: -0.034617 Loss_D_fake -0.012283
[869/5000][465/535][89567] Loss_D: -0.022465 Loss_G: 0.002456 Loss_D_real: -0.014259 Loss_D_fake 0.008206
[869/5000][470/535][89568] Loss_D: -0.022406 Loss_G: 0.008638 Loss_D_real: -0.016584 Loss_D_fake 0.005822
[869/5000][475/535][89569] Loss_D: -0.022545 Loss_G: -0.008278 Loss_D_real: 0.001880 Loss_D_fake 0.024425
[869/5000][480/535][89570] Loss_D: -0.023583 Loss_G: 0.012999 Loss_D_real: -0.015676 Loss_D_fake 0.007907
[869/5000][485/535][89571] Loss_D: -0.022355 Loss_G: 0.021584 Loss_D_real: -0.025169 Loss_D_fake -0.002815
[869/5000][490/535][89572] Loss_D: -0.022848 Loss_G: 0.008887 Loss_D_real: -0.015298 Loss_D_fake 0.007550
[869/5000][495/535][89573] Loss_D: -0.022511 Loss_G: -0.009052 Loss_D_real: -0.007628 Loss_D_fake 0.014883
[869/5000][500/535][89574] Loss_D: -0.023740 Loss_G: 0.005613 Loss_D_real: -0.010258 Loss_D_fake 0.013482
[869/5000][505/535][89575] Loss_D: -0.023436 Loss_G: 0.018000 Loss_D_real: -0.016202 Loss_D_fake 0.007233
[869/5000][510/535][89576] Loss_D: -0.024186 Loss_G: -0.009012 Loss_D_real: 0.005395 Loss_D_fake 0.029581
[869/5000][515/535][89577] Loss_D: -0.024252 Loss_G: 0.012163 Loss_D_real: -0.014560 Loss_D_fake 0.009692
[869/5000][520/535][89578] Loss_D: -0.021545 Loss_G: 0.027343 Loss_D_real: -0.039667 Loss_D_fake -0.018122
[869/5000][525/535][89579] Loss_D: -0.023090 Loss_G: 0.009652 Loss_D_real: -0.020800 Loss_D_fake 0.002290
[869/5000][530/535][89580] Loss_D: -0.024316 Loss_G: 0.001300 Loss_D_real: -0.014950 Loss_D_fake 0.009366
[869/5000][535/535][89581] Loss_D: -0.023190 Loss_G: -0.023547 Loss_D_real: -0.004263 Loss_D_fake 0.018927
[870/5000][5/535][89582] Loss_D: -0.023034 Loss_G: 0.010953 Loss_D_real: -0.011610 Loss_D_fake 0.011424
[870/5000][10/535][89583] Loss_D: -0.022803 Loss_G: 0.017829 Loss_D_real: -0.027004 Loss_D_fake -0.004202
[870/5000][15/535][89584] Loss_D: -0.022864 Loss_G: 0.005609 Loss_D_real: -0.027920 Loss_D_fake -0.005056
[870/5000][20/535][89585] Loss_D: -0.022379 Loss_G: 0.007105 Loss_D_real: -0.027240 Loss_D_fake -0.004861
[870/5000][25/535][89586] Loss_D: -0.022053 Loss_G: 0.025194 Loss_D_real: -0.028908 Loss_D_fake -0.006855
[870/5000][30/535][89587] Loss_D: -0.022704 Loss_G: 0.016129 Loss_D_real: -0.024769 Loss_D_fake -0.002065
[870/5000][35/535][89588] Loss_D: -0.023337 Loss_G: 0.012795 Loss_D_real: -0.021392 Loss_D_fake 0.001945
[870/5000][40/535][89589] Loss_D: -0.022985 Loss_G: 0.015368 Loss_D_real: -0.032586 Loss_D_fake -0.009602
[870/5000][45/535][89590] Loss_D: -0.023015 Loss_G: -0.000116 Loss_D_real: -0.012869 Loss_D_fake 0.010146
[870/5000][50/535][89591] Loss_D: -0.024757 Loss_G: -0.003915 Loss_D_real: -0.021949 Loss_D_fake 0.002809
[870/5000][55/535][89592] Loss_D: -0.022283 Loss_G: -0.010535 Loss_D_real: -0.007123 Loss_D_fake 0.015160
[870/5000][60/535][89593] Loss_D: -0.023350 Loss_G: 0.006142 Loss_D_real: -0.020495 Loss_D_fake 0.002855
[870/5000][65/535][89594] Loss_D: -0.023940 Loss_G: -0.007761 Loss_D_real: -0.012116 Loss_D_fake 0.011825
[870/5000][70/535][89595] Loss_D: -0.022065 Loss_G: 0.004370 Loss_D_real: -0.023578 Loss_D_fake -0.001513
[870/5000][75/535][89596] Loss_D: -0.023169 Loss_G: 0.020718 Loss_D_real: -0.028765 Loss_D_fake -0.005596
[870/5000][80/535][89597] Loss_D: -0.023186 Loss_G: -0.003197 Loss_D_real: -0.004004 Loss_D_fake 0.019182
[870/5000][85/535][89598] Loss_D: -0.020106 Loss_G: 0.026732 Loss_D_real: -0.037459 Loss_D_fake -0.017353
[870/5000][90/535][89599] Loss_D: -0.022514 Loss_G: -0.006915 Loss_D_real: -0.012609 Loss_D_fake 0.009906
[870/5000][95/535][89600] Loss_D: -0.023329 Loss_G: 0.017922 Loss_D_real: -0.022417 Loss_D_fake 0.000912
[870/5000][100/535][89601] Loss_D: -0.022693 Loss_G: 0.000457 Loss_D_real: -0.016154 Loss_D_fake 0.006540
[870/5000][105/535][89602] Loss_D: -0.023120 Loss_G: -0.008763 Loss_D_real: -0.013307 Loss_D_fake 0.009814
[870/5000][110/535][89603] Loss_D: -0.022557 Loss_G: 0.019761 Loss_D_real: -0.013889 Loss_D_fake 0.008669
[870/5000][115/535][89604] Loss_D: -0.022677 Loss_G: 0.004767 Loss_D_real: -0.012343 Loss_D_fake 0.010334
[870/5000][120/535][89605] Loss_D: -0.023130 Loss_G: 0.022535 Loss_D_real: -0.031916 Loss_D_fake -0.008786
[870/5000][125/535][89606] Loss_D: -0.022300 Loss_G: -0.019419 Loss_D_real: 0.002995 Loss_D_fake 0.025295
[870/5000][130/535][89607] Loss_D: -0.022531 Loss_G: 0.005101 Loss_D_real: -0.023382 Loss_D_fake -0.000851
[870/5000][135/535][89608] Loss_D: -0.022987 Loss_G: 0.024732 Loss_D_real: -0.025794 Loss_D_fake -0.002807
[870/5000][140/535][89609] Loss_D: -0.022760 Loss_G: -0.013964 Loss_D_real: 0.003411 Loss_D_fake 0.026172
[870/5000][145/535][89610] Loss_D: -0.023881 Loss_G: 0.011075 Loss_D_real: -0.019325 Loss_D_fake 0.004555
[870/5000][150/535][89611] Loss_D: -0.023422 Loss_G: -0.011816 Loss_D_real: -0.007251 Loss_D_fake 0.016171
[870/5000][155/535][89612] Loss_D: -0.023141 Loss_G: 0.014065 Loss_D_real: -0.021774 Loss_D_fake 0.001367
[870/5000][160/535][89613] Loss_D: -0.022134 Loss_G: 0.004569 Loss_D_real: -0.014922 Loss_D_fake 0.007211
[870/5000][165/535][89614] Loss_D: -0.023046 Loss_G: 0.006407 Loss_D_real: -0.020559 Loss_D_fake 0.002487
[870/5000][170/535][89615] Loss_D: -0.022640 Loss_G: 0.010176 Loss_D_real: -0.018333 Loss_D_fake 0.004307
[870/5000][175/535][89616] Loss_D: -0.022628 Loss_G: 0.018835 Loss_D_real: -0.016662 Loss_D_fake 0.005966
[870/5000][180/535][89617] Loss_D: -0.022210 Loss_G: 0.011509 Loss_D_real: -0.015467 Loss_D_fake 0.006743
[870/5000][185/535][89618] Loss_D: -0.023109 Loss_G: 0.011477 Loss_D_real: -0.028523 Loss_D_fake -0.005415
[870/5000][190/535][89619] Loss_D: -0.022309 Loss_G: 0.011366 Loss_D_real: -0.022994 Loss_D_fake -0.000685
[870/5000][195/535][89620] Loss_D: -0.023124 Loss_G: 0.027892 Loss_D_real: -0.028782 Loss_D_fake -0.005659
[870/5000][200/535][89621] Loss_D: -0.023695 Loss_G: 0.002099 Loss_D_real: -0.027095 Loss_D_fake -0.003400
[870/5000][205/535][89622] Loss_D: -0.022628 Loss_G: 0.020662 Loss_D_real: -0.032779 Loss_D_fake -0.010151
[870/5000][210/535][89623] Loss_D: -0.023869 Loss_G: -0.008342 Loss_D_real: -0.015611 Loss_D_fake 0.008258
[870/5000][215/535][89624] Loss_D: -0.022659 Loss_G: 0.019433 Loss_D_real: -0.027564 Loss_D_fake -0.004906
[870/5000][220/535][89625] Loss_D: -0.023158 Loss_G: 0.004325 Loss_D_real: -0.020845 Loss_D_fake 0.002312
[870/5000][225/535][89626] Loss_D: -0.023830 Loss_G: -0.012046 Loss_D_real: -0.009657 Loss_D_fake 0.014173
[870/5000][230/535][89627] Loss_D: -0.023611 Loss_G: 0.010179 Loss_D_real: -0.016337 Loss_D_fake 0.007274
[870/5000][235/535][89628] Loss_D: -0.024190 Loss_G: 0.021078 Loss_D_real: -0.025374 Loss_D_fake -0.001184
[870/5000][240/535][89629] Loss_D: -0.023583 Loss_G: -0.003613 Loss_D_real: -0.005982 Loss_D_fake 0.017602
[870/5000][245/535][89630] Loss_D: -0.022268 Loss_G: 0.008934 Loss_D_real: -0.022243 Loss_D_fake 0.000026
[870/5000][250/535][89631] Loss_D: -0.023001 Loss_G: -0.003315 Loss_D_real: -0.013747 Loss_D_fake 0.009254
[870/5000][255/535][89632] Loss_D: -0.022186 Loss_G: 0.026378 Loss_D_real: -0.029021 Loss_D_fake -0.006836
[870/5000][260/535][89633] Loss_D: -0.022540 Loss_G: -0.005794 Loss_D_real: -0.006336 Loss_D_fake 0.016205
[870/5000][265/535][89634] Loss_D: -0.022416 Loss_G: -0.011660 Loss_D_real: -0.001761 Loss_D_fake 0.020654
[870/5000][270/535][89635] Loss_D: -0.023524 Loss_G: 0.016362 Loss_D_real: -0.024576 Loss_D_fake -0.001053
[870/5000][275/535][89636] Loss_D: -0.022074 Loss_G: -0.006880 Loss_D_real: -0.008495 Loss_D_fake 0.013580
[870/5000][280/535][89637] Loss_D: -0.022873 Loss_G: 0.014965 Loss_D_real: -0.015951 Loss_D_fake 0.006922
[870/5000][285/535][89638] Loss_D: -0.023818 Loss_G: 0.013030 Loss_D_real: -0.027544 Loss_D_fake -0.003725
[870/5000][290/535][89639] Loss_D: -0.023728 Loss_G: 0.002094 Loss_D_real: 0.002216 Loss_D_fake 0.025944
[870/5000][295/535][89640] Loss_D: -0.023018 Loss_G: 0.003064 Loss_D_real: -0.016679 Loss_D_fake 0.006339
[870/5000][300/535][89641] Loss_D: -0.022644 Loss_G: 0.026981 Loss_D_real: -0.030708 Loss_D_fake -0.008064
[870/5000][305/535][89642] Loss_D: -0.022972 Loss_G: 0.021302 Loss_D_real: -0.016719 Loss_D_fake 0.006253
[870/5000][310/535][89643] Loss_D: -0.023057 Loss_G: 0.005056 Loss_D_real: -0.021354 Loss_D_fake 0.001702
[870/5000][315/535][89644] Loss_D: -0.020744 Loss_G: 0.023158 Loss_D_real: -0.030731 Loss_D_fake -0.009987
[870/5000][320/535][89645] Loss_D: -0.022778 Loss_G: -0.011566 Loss_D_real: -0.008598 Loss_D_fake 0.014180
[870/5000][325/535][89646] Loss_D: -0.022893 Loss_G: 0.013219 Loss_D_real: -0.029956 Loss_D_fake -0.007063
[870/5000][330/535][89647] Loss_D: -0.022470 Loss_G: -0.002443 Loss_D_real: -0.015796 Loss_D_fake 0.006674
[870/5000][335/535][89648] Loss_D: -0.022434 Loss_G: 0.012208 Loss_D_real: -0.022924 Loss_D_fake -0.000490
[870/5000][340/535][89649] Loss_D: -0.023438 Loss_G: 0.011133 Loss_D_real: -0.023694 Loss_D_fake -0.000256
[870/5000][345/535][89650] Loss_D: -0.023423 Loss_G: 0.016151 Loss_D_real: -0.017293 Loss_D_fake 0.006130
[870/5000][350/535][89651] Loss_D: -0.023465 Loss_G: 0.015869 Loss_D_real: -0.022274 Loss_D_fake 0.001190
[870/5000][355/535][89652] Loss_D: -0.021949 Loss_G: 0.021643 Loss_D_real: -0.022630 Loss_D_fake -0.000681
[870/5000][360/535][89653] Loss_D: -0.022667 Loss_G: 0.017996 Loss_D_real: -0.026057 Loss_D_fake -0.003390
[870/5000][365/535][89654] Loss_D: -0.023644 Loss_G: 0.015702 Loss_D_real: -0.030355 Loss_D_fake -0.006711
[870/5000][370/535][89655] Loss_D: -0.024936 Loss_G: 0.006311 Loss_D_real: -0.020765 Loss_D_fake 0.004171
[870/5000][375/535][89656] Loss_D: -0.023063 Loss_G: 0.014265 Loss_D_real: -0.027924 Loss_D_fake -0.004861
[870/5000][380/535][89657] Loss_D: -0.023180 Loss_G: 0.009755 Loss_D_real: -0.021291 Loss_D_fake 0.001889
[870/5000][385/535][89658] Loss_D: -0.023198 Loss_G: 0.002260 Loss_D_real: -0.009756 Loss_D_fake 0.013442
[870/5000][390/535][89659] Loss_D: -0.023147 Loss_G: 0.006881 Loss_D_real: -0.012005 Loss_D_fake 0.011142
[870/5000][395/535][89660] Loss_D: -0.022162 Loss_G: -0.008271 Loss_D_real: -0.000614 Loss_D_fake 0.021548
[870/5000][400/535][89661] Loss_D: -0.021494 Loss_G: 0.011403 Loss_D_real: -0.032650 Loss_D_fake -0.011156
[870/5000][405/535][89662] Loss_D: -0.024576 Loss_G: 0.008878 Loss_D_real: -0.022887 Loss_D_fake 0.001689
[870/5000][410/535][89663] Loss_D: -0.021447 Loss_G: 0.025619 Loss_D_real: -0.040550 Loss_D_fake -0.019103
[870/5000][415/535][89664] Loss_D: -0.022801 Loss_G: 0.012601 Loss_D_real: -0.011152 Loss_D_fake 0.011649
[870/5000][420/535][89665] Loss_D: -0.020702 Loss_G: -0.017961 Loss_D_real: -0.000094 Loss_D_fake 0.020608
[870/5000][425/535][89666] Loss_D: -0.021894 Loss_G: 0.013667 Loss_D_real: -0.033282 Loss_D_fake -0.011388
[870/5000][430/535][89667] Loss_D: -0.022287 Loss_G: 0.018381 Loss_D_real: -0.027054 Loss_D_fake -0.004767
[870/5000][435/535][89668] Loss_D: -0.021378 Loss_G: -0.006655 Loss_D_real: -0.008893 Loss_D_fake 0.012486
[870/5000][440/535][89669] Loss_D: -0.022513 Loss_G: 0.009927 Loss_D_real: -0.024622 Loss_D_fake -0.002108
[870/5000][445/535][89670] Loss_D: -0.023645 Loss_G: 0.011628 Loss_D_real: -0.014388 Loss_D_fake 0.009258
[870/5000][450/535][89671] Loss_D: -0.022309 Loss_G: 0.031288 Loss_D_real: -0.032484 Loss_D_fake -0.010175
[870/5000][455/535][89672] Loss_D: -0.023141 Loss_G: 0.015529 Loss_D_real: -0.026602 Loss_D_fake -0.003461
[870/5000][460/535][89673] Loss_D: -0.022820 Loss_G: 0.028194 Loss_D_real: -0.029137 Loss_D_fake -0.006317
[870/5000][465/535][89674] Loss_D: -0.022395 Loss_G: 0.006936 Loss_D_real: -0.021935 Loss_D_fake 0.000459
[870/5000][470/535][89675] Loss_D: -0.022422 Loss_G: 0.018723 Loss_D_real: -0.025533 Loss_D_fake -0.003110
[870/5000][475/535][89676] Loss_D: -0.023301 Loss_G: 0.017875 Loss_D_real: -0.029433 Loss_D_fake -0.006132
[870/5000][480/535][89677] Loss_D: -0.022185 Loss_G: 0.014073 Loss_D_real: -0.015444 Loss_D_fake 0.006741
[870/5000][485/535][89678] Loss_D: -0.021655 Loss_G: 0.000404 Loss_D_real: -0.022947 Loss_D_fake -0.001292
[870/5000][490/535][89679] Loss_D: -0.022839 Loss_G: 0.001345 Loss_D_real: -0.014487 Loss_D_fake 0.008352
[870/5000][495/535][89680] Loss_D: -0.023946 Loss_G: 0.007996 Loss_D_real: -0.008840 Loss_D_fake 0.015106
[870/5000][500/535][89681] Loss_D: -0.024687 Loss_G: 0.012958 Loss_D_real: -0.023247 Loss_D_fake 0.001440
[870/5000][505/535][89682] Loss_D: -0.024192 Loss_G: 0.005742 Loss_D_real: -0.017024 Loss_D_fake 0.007168
[870/5000][510/535][89683] Loss_D: -0.023695 Loss_G: 0.001309 Loss_D_real: -0.013690 Loss_D_fake 0.010005
[870/5000][515/535][89684] Loss_D: -0.022288 Loss_G: 0.017841 Loss_D_real: -0.035539 Loss_D_fake -0.013251
[870/5000][520/535][89685] Loss_D: -0.022522 Loss_G: 0.010693 Loss_D_real: -0.032124 Loss_D_fake -0.009603
[870/5000][525/535][89686] Loss_D: -0.024416 Loss_G: 0.016239 Loss_D_real: -0.021185 Loss_D_fake 0.003230
[870/5000][530/535][89687] Loss_D: -0.024205 Loss_G: -0.000555 Loss_D_real: -0.017900 Loss_D_fake 0.006305
[870/5000][535/535][89688] Loss_D: -0.020551 Loss_G: -0.025153 Loss_D_real: -0.001567 Loss_D_fake 0.018984
[871/5000][5/535][89689] Loss_D: -0.021892 Loss_G: 0.008426 Loss_D_real: -0.026581 Loss_D_fake -0.004688
[871/5000][10/535][89690] Loss_D: -0.022402 Loss_G: 0.001509 Loss_D_real: -0.008358 Loss_D_fake 0.014044
[871/5000][15/535][89691] Loss_D: -0.021503 Loss_G: 0.019372 Loss_D_real: -0.034062 Loss_D_fake -0.012559
[871/5000][20/535][89692] Loss_D: -0.022926 Loss_G: -0.002004 Loss_D_real: -0.008759 Loss_D_fake 0.014167
[871/5000][25/535][89693] Loss_D: -0.023010 Loss_G: 0.015882 Loss_D_real: -0.025127 Loss_D_fake -0.002117
[871/5000][30/535][89694] Loss_D: -0.023764 Loss_G: 0.000092 Loss_D_real: -0.008022 Loss_D_fake 0.015742
[871/5000][35/535][89695] Loss_D: -0.022872 Loss_G: 0.007563 Loss_D_real: -0.008981 Loss_D_fake 0.013891
[871/5000][40/535][89696] Loss_D: -0.024464 Loss_G: 0.012409 Loss_D_real: -0.020010 Loss_D_fake 0.004454
[871/5000][45/535][89697] Loss_D: -0.022252 Loss_G: -0.003288 Loss_D_real: -0.012306 Loss_D_fake 0.009946
[871/5000][50/535][89698] Loss_D: -0.023173 Loss_G: -0.008335 Loss_D_real: -0.010529 Loss_D_fake 0.012645
[871/5000][55/535][89699] Loss_D: -0.022450 Loss_G: 0.006079 Loss_D_real: -0.013837 Loss_D_fake 0.008614
[871/5000][60/535][89700] Loss_D: -0.022592 Loss_G: 0.020254 Loss_D_real: -0.026564 Loss_D_fake -0.003972
[871/5000][65/535][89701] Loss_D: -0.023206 Loss_G: 0.003310 Loss_D_real: -0.009874 Loss_D_fake 0.013332
[871/5000][70/535][89702] Loss_D: -0.023011 Loss_G: -0.001620 Loss_D_real: -0.022589 Loss_D_fake 0.000423
[871/5000][75/535][89703] Loss_D: -0.023134 Loss_G: 0.011115 Loss_D_real: -0.026068 Loss_D_fake -0.002934
[871/5000][80/535][89704] Loss_D: -0.023353 Loss_G: 0.013982 Loss_D_real: -0.012263 Loss_D_fake 0.011090
[871/5000][85/535][89705] Loss_D: -0.022833 Loss_G: 0.010719 Loss_D_real: -0.020787 Loss_D_fake 0.002046
[871/5000][90/535][89706] Loss_D: -0.022615 Loss_G: -0.002916 Loss_D_real: -0.004837 Loss_D_fake 0.017778
[871/5000][95/535][89707] Loss_D: -0.022192 Loss_G: -0.002548 Loss_D_real: -0.014399 Loss_D_fake 0.007794
[871/5000][100/535][89708] Loss_D: -0.022737 Loss_G: 0.014054 Loss_D_real: -0.003501 Loss_D_fake 0.019236
[871/5000][105/535][89709] Loss_D: -0.022531 Loss_G: 0.021184 Loss_D_real: -0.026949 Loss_D_fake -0.004418
[871/5000][110/535][89710] Loss_D: -0.022523 Loss_G: -0.002254 Loss_D_real: -0.023398 Loss_D_fake -0.000875
[871/5000][115/535][89711] Loss_D: -0.022958 Loss_G: -0.008127 Loss_D_real: -0.005940 Loss_D_fake 0.017018
[871/5000][120/535][89712] Loss_D: -0.023837 Loss_G: 0.025724 Loss_D_real: -0.012358 Loss_D_fake 0.011478
[871/5000][125/535][89713] Loss_D: -0.022688 Loss_G: 0.020138 Loss_D_real: -0.022025 Loss_D_fake 0.000663
[871/5000][130/535][89714] Loss_D: -0.023020 Loss_G: 0.011855 Loss_D_real: -0.018653 Loss_D_fake 0.004367
[871/5000][135/535][89715] Loss_D: -0.023720 Loss_G: 0.023674 Loss_D_real: -0.027606 Loss_D_fake -0.003885
[871/5000][140/535][89716] Loss_D: -0.021743 Loss_G: -0.020872 Loss_D_real: -0.004322 Loss_D_fake 0.017421
[871/5000][145/535][89717] Loss_D: -0.022519 Loss_G: -0.003135 Loss_D_real: -0.005226 Loss_D_fake 0.017293
[871/5000][150/535][89718] Loss_D: -0.022296 Loss_G: 0.006501 Loss_D_real: -0.020870 Loss_D_fake 0.001426
[871/5000][155/535][89719] Loss_D: -0.024052 Loss_G: 0.013732 Loss_D_real: -0.024094 Loss_D_fake -0.000041
[871/5000][160/535][89720] Loss_D: -0.022878 Loss_G: 0.004620 Loss_D_real: -0.017247 Loss_D_fake 0.005632
[871/5000][165/535][89721] Loss_D: -0.022972 Loss_G: 0.021232 Loss_D_real: -0.023428 Loss_D_fake -0.000456
[871/5000][170/535][89722] Loss_D: -0.022516 Loss_G: 0.014189 Loss_D_real: -0.025236 Loss_D_fake -0.002720
[871/5000][175/535][89723] Loss_D: -0.023270 Loss_G: 0.017424 Loss_D_real: -0.020560 Loss_D_fake 0.002710
[871/5000][180/535][89724] Loss_D: -0.023352 Loss_G: 0.003892 Loss_D_real: -0.025497 Loss_D_fake -0.002145
[871/5000][185/535][89725] Loss_D: -0.022483 Loss_G: 0.004814 Loss_D_real: -0.013491 Loss_D_fake 0.008992
[871/5000][190/535][89726] Loss_D: -0.022843 Loss_G: 0.014624 Loss_D_real: -0.021108 Loss_D_fake 0.001735
[871/5000][195/535][89727] Loss_D: -0.022552 Loss_G: -0.007747 Loss_D_real: -0.001958 Loss_D_fake 0.020594
[871/5000][200/535][89728] Loss_D: -0.025206 Loss_G: 0.012126 Loss_D_real: -0.025572 Loss_D_fake -0.000366
[871/5000][205/535][89729] Loss_D: -0.023090 Loss_G: 0.016830 Loss_D_real: -0.021280 Loss_D_fake 0.001810
[871/5000][210/535][89730] Loss_D: -0.021554 Loss_G: -0.016459 Loss_D_real: -0.005504 Loss_D_fake 0.016050
[871/5000][215/535][89731] Loss_D: -0.021169 Loss_G: 0.028892 Loss_D_real: -0.038788 Loss_D_fake -0.017619
[871/5000][220/535][89732] Loss_D: -0.022804 Loss_G: 0.003077 Loss_D_real: -0.002088 Loss_D_fake 0.020716
[871/5000][225/535][89733] Loss_D: -0.022429 Loss_G: -0.001903 Loss_D_real: -0.008943 Loss_D_fake 0.013486
[871/5000][230/535][89734] Loss_D: -0.023659 Loss_G: 0.003205 Loss_D_real: -0.014598 Loss_D_fake 0.009061
[871/5000][235/535][89735] Loss_D: -0.022657 Loss_G: 0.016312 Loss_D_real: -0.026007 Loss_D_fake -0.003351
[871/5000][240/535][89736] Loss_D: -0.022285 Loss_G: 0.013866 Loss_D_real: -0.027077 Loss_D_fake -0.004792
[871/5000][245/535][89737] Loss_D: -0.023966 Loss_G: 0.020131 Loss_D_real: -0.024827 Loss_D_fake -0.000860
[871/5000][250/535][89738] Loss_D: -0.023779 Loss_G: 0.005295 Loss_D_real: -0.030439 Loss_D_fake -0.006660
[871/5000][255/535][89739] Loss_D: -0.024723 Loss_G: 0.016412 Loss_D_real: -0.010767 Loss_D_fake 0.013956
[871/5000][260/535][89740] Loss_D: -0.022113 Loss_G: 0.009590 Loss_D_real: -0.024572 Loss_D_fake -0.002459
[871/5000][265/535][89741] Loss_D: -0.023039 Loss_G: 0.026657 Loss_D_real: -0.029392 Loss_D_fake -0.006353
[871/5000][270/535][89742] Loss_D: -0.023337 Loss_G: -0.003363 Loss_D_real: -0.012472 Loss_D_fake 0.010865
[871/5000][275/535][89743] Loss_D: -0.021870 Loss_G: 0.020214 Loss_D_real: -0.022467 Loss_D_fake -0.000597
[871/5000][280/535][89744] Loss_D: -0.023662 Loss_G: -0.002257 Loss_D_real: -0.013119 Loss_D_fake 0.010544
[871/5000][285/535][89745] Loss_D: -0.023477 Loss_G: 0.004756 Loss_D_real: -0.024611 Loss_D_fake -0.001134
[871/5000][290/535][89746] Loss_D: -0.021755 Loss_G: 0.005243 Loss_D_real: -0.011690 Loss_D_fake 0.010065
[871/5000][295/535][89747] Loss_D: -0.022667 Loss_G: -0.002309 Loss_D_real: -0.010120 Loss_D_fake 0.012546
[871/5000][300/535][89748] Loss_D: -0.021866 Loss_G: 0.006696 Loss_D_real: -0.017317 Loss_D_fake 0.004549
[871/5000][305/535][89749] Loss_D: -0.021575 Loss_G: 0.018126 Loss_D_real: -0.029203 Loss_D_fake -0.007628
[871/5000][310/535][89750] Loss_D: -0.022732 Loss_G: 0.001532 Loss_D_real: -0.019845 Loss_D_fake 0.002887
[871/5000][315/535][89751] Loss_D: -0.023096 Loss_G: -0.007865 Loss_D_real: 0.004367 Loss_D_fake 0.027464
[871/5000][320/535][89752] Loss_D: -0.022955 Loss_G: 0.016046 Loss_D_real: -0.027175 Loss_D_fake -0.004220
[871/5000][325/535][89753] Loss_D: -0.023398 Loss_G: -0.008371 Loss_D_real: -0.010274 Loss_D_fake 0.013124
[871/5000][330/535][89754] Loss_D: -0.022907 Loss_G: 0.020904 Loss_D_real: -0.029613 Loss_D_fake -0.006706
[871/5000][335/535][89755] Loss_D: -0.022196 Loss_G: 0.008394 Loss_D_real: -0.013493 Loss_D_fake 0.008703
[871/5000][340/535][89756] Loss_D: -0.023703 Loss_G: -0.016296 Loss_D_real: -0.002949 Loss_D_fake 0.020754
[871/5000][345/535][89757] Loss_D: -0.023040 Loss_G: 0.014647 Loss_D_real: -0.021819 Loss_D_fake 0.001222
[871/5000][350/535][89758] Loss_D: -0.023837 Loss_G: -0.008096 Loss_D_real: -0.001851 Loss_D_fake 0.021986
[871/5000][355/535][89759] Loss_D: -0.022506 Loss_G: 0.013933 Loss_D_real: -0.025695 Loss_D_fake -0.003188
[871/5000][360/535][89760] Loss_D: -0.023555 Loss_G: 0.013871 Loss_D_real: -0.015428 Loss_D_fake 0.008127
[871/5000][365/535][89761] Loss_D: -0.022495 Loss_G: -0.002694 Loss_D_real: -0.016325 Loss_D_fake 0.006170
[871/5000][370/535][89762] Loss_D: -0.022652 Loss_G: 0.013158 Loss_D_real: -0.032576 Loss_D_fake -0.009924
[871/5000][375/535][89763] Loss_D: -0.023870 Loss_G: 0.029764 Loss_D_real: -0.023054 Loss_D_fake 0.000816
[871/5000][380/535][89764] Loss_D: -0.023297 Loss_G: 0.012705 Loss_D_real: -0.021690 Loss_D_fake 0.001607
[871/5000][385/535][89765] Loss_D: -0.022050 Loss_G: 0.028514 Loss_D_real: -0.029098 Loss_D_fake -0.007048
[871/5000][390/535][89766] Loss_D: -0.022870 Loss_G: -0.005446 Loss_D_real: -0.004413 Loss_D_fake 0.018457
[871/5000][395/535][89767] Loss_D: -0.022542 Loss_G: 0.002982 Loss_D_real: -0.022959 Loss_D_fake -0.000417
[871/5000][400/535][89768] Loss_D: -0.022602 Loss_G: 0.003984 Loss_D_real: -0.010159 Loss_D_fake 0.012443
[871/5000][405/535][89769] Loss_D: -0.022480 Loss_G: 0.008459 Loss_D_real: -0.028616 Loss_D_fake -0.006137
[871/5000][410/535][89770] Loss_D: -0.023292 Loss_G: -0.007708 Loss_D_real: -0.005372 Loss_D_fake 0.017920
[871/5000][415/535][89771] Loss_D: -0.022247 Loss_G: 0.023079 Loss_D_real: -0.032703 Loss_D_fake -0.010456
[871/5000][420/535][89772] Loss_D: -0.022438 Loss_G: 0.010755 Loss_D_real: -0.027772 Loss_D_fake -0.005334
[871/5000][425/535][89773] Loss_D: -0.022473 Loss_G: 0.019180 Loss_D_real: -0.030724 Loss_D_fake -0.008251
[871/5000][430/535][89774] Loss_D: -0.024285 Loss_G: 0.016924 Loss_D_real: -0.027914 Loss_D_fake -0.003629
[871/5000][435/535][89775] Loss_D: -0.022763 Loss_G: -0.012993 Loss_D_real: -0.015377 Loss_D_fake 0.007386
[871/5000][440/535][89776] Loss_D: -0.023081 Loss_G: 0.021441 Loss_D_real: -0.020503 Loss_D_fake 0.002578
[871/5000][445/535][89777] Loss_D: -0.024471 Loss_G: 0.006063 Loss_D_real: -0.008221 Loss_D_fake 0.016250
[871/5000][450/535][89778] Loss_D: -0.024910 Loss_G: 0.009008 Loss_D_real: -0.024381 Loss_D_fake 0.000529
[871/5000][455/535][89779] Loss_D: -0.024000 Loss_G: 0.010819 Loss_D_real: -0.017379 Loss_D_fake 0.006621
[871/5000][460/535][89780] Loss_D: -0.021039 Loss_G: -0.015038 Loss_D_real: 0.002885 Loss_D_fake 0.023924
[871/5000][465/535][89781] Loss_D: -0.023751 Loss_G: 0.005905 Loss_D_real: -0.015444 Loss_D_fake 0.008307
[871/5000][470/535][89782] Loss_D: -0.024094 Loss_G: 0.004954 Loss_D_real: -0.015992 Loss_D_fake 0.008102
[871/5000][475/535][89783] Loss_D: -0.023830 Loss_G: 0.004618 Loss_D_real: -0.021087 Loss_D_fake 0.002743
[871/5000][480/535][89784] Loss_D: -0.022403 Loss_G: 0.014755 Loss_D_real: -0.030364 Loss_D_fake -0.007961
[871/5000][485/535][89785] Loss_D: -0.022718 Loss_G: 0.022551 Loss_D_real: -0.038653 Loss_D_fake -0.015935
[871/5000][490/535][89786] Loss_D: -0.022890 Loss_G: -0.000576 Loss_D_real: -0.013762 Loss_D_fake 0.009128
[871/5000][495/535][89787] Loss_D: -0.022790 Loss_G: 0.002120 Loss_D_real: -0.017242 Loss_D_fake 0.005548
[871/5000][500/535][89788] Loss_D: -0.022046 Loss_G: -0.002601 Loss_D_real: -0.025388 Loss_D_fake -0.003343
[871/5000][505/535][89789] Loss_D: -0.022661 Loss_G: -0.003957 Loss_D_real: -0.011221 Loss_D_fake 0.011440
[871/5000][510/535][89790] Loss_D: -0.022710 Loss_G: 0.008348 Loss_D_real: -0.015726 Loss_D_fake 0.006984
[871/5000][515/535][89791] Loss_D: -0.022608 Loss_G: 0.027769 Loss_D_real: -0.024828 Loss_D_fake -0.002219
[871/5000][520/535][89792] Loss_D: -0.023429 Loss_G: 0.028296 Loss_D_real: -0.024855 Loss_D_fake -0.001426
[871/5000][525/535][89793] Loss_D: -0.023345 Loss_G: 0.000700 Loss_D_real: -0.008838 Loss_D_fake 0.014506
[871/5000][530/535][89794] Loss_D: -0.021637 Loss_G: 0.021270 Loss_D_real: -0.025578 Loss_D_fake -0.003941
[871/5000][535/535][89795] Loss_D: -0.023009 Loss_G: 0.014026 Loss_D_real: -0.013334 Loss_D_fake 0.009675
[872/5000][5/535][89796] Loss_D: -0.023039 Loss_G: -0.015858 Loss_D_real: -0.008300 Loss_D_fake 0.014739
[872/5000][10/535][89797] Loss_D: -0.023081 Loss_G: 0.009436 Loss_D_real: -0.018133 Loss_D_fake 0.004948
[872/5000][15/535][89798] Loss_D: -0.023417 Loss_G: 0.007351 Loss_D_real: -0.023218 Loss_D_fake 0.000199
[872/5000][20/535][89799] Loss_D: -0.021582 Loss_G: 0.019416 Loss_D_real: -0.031917 Loss_D_fake -0.010335
[872/5000][25/535][89800] Loss_D: -0.021881 Loss_G: 0.004132 Loss_D_real: -0.024850 Loss_D_fake -0.002968
[872/5000][30/535][89801] Loss_D: -0.022810 Loss_G: 0.036255 Loss_D_real: -0.030568 Loss_D_fake -0.007758
[872/5000][35/535][89802] Loss_D: -0.021515 Loss_G: -0.006397 Loss_D_real: -0.015196 Loss_D_fake 0.006319
[872/5000][40/535][89803] Loss_D: -0.023490 Loss_G: 0.005439 Loss_D_real: -0.019991 Loss_D_fake 0.003499
[872/5000][45/535][89804] Loss_D: -0.020397 Loss_G: -0.014664 Loss_D_real: 0.010352 Loss_D_fake 0.030749
[872/5000][50/535][89805] Loss_D: -0.022520 Loss_G: -0.002132 Loss_D_real: -0.018878 Loss_D_fake 0.003642
[872/5000][55/535][89806] Loss_D: -0.022416 Loss_G: 0.015518 Loss_D_real: -0.025338 Loss_D_fake -0.002922
[872/5000][60/535][89807] Loss_D: -0.023144 Loss_G: 0.010294 Loss_D_real: -0.021811 Loss_D_fake 0.001333
[872/5000][65/535][89808] Loss_D: -0.022793 Loss_G: 0.004926 Loss_D_real: -0.021683 Loss_D_fake 0.001110
[872/5000][70/535][89809] Loss_D: -0.022840 Loss_G: 0.023563 Loss_D_real: -0.029149 Loss_D_fake -0.006309
[872/5000][75/535][89810] Loss_D: -0.022163 Loss_G: 0.012435 Loss_D_real: -0.016156 Loss_D_fake 0.006007
[872/5000][80/535][89811] Loss_D: -0.022392 Loss_G: 0.012863 Loss_D_real: -0.026236 Loss_D_fake -0.003844
[872/5000][85/535][89812] Loss_D: -0.022112 Loss_G: 0.013445 Loss_D_real: -0.028359 Loss_D_fake -0.006247
[872/5000][90/535][89813] Loss_D: -0.023404 Loss_G: -0.008409 Loss_D_real: -0.011727 Loss_D_fake 0.011677
[872/5000][95/535][89814] Loss_D: -0.021921 Loss_G: 0.001632 Loss_D_real: -0.023677 Loss_D_fake -0.001756
[872/5000][100/535][89815] Loss_D: -0.023414 Loss_G: -0.008916 Loss_D_real: -0.006257 Loss_D_fake 0.017158
[872/5000][105/535][89816] Loss_D: -0.021267 Loss_G: -0.000008 Loss_D_real: -0.006612 Loss_D_fake 0.014655
[872/5000][110/535][89817] Loss_D: -0.021503 Loss_G: -0.000243 Loss_D_real: -0.011944 Loss_D_fake 0.009559
[872/5000][115/535][89818] Loss_D: -0.022623 Loss_G: 0.026428 Loss_D_real: -0.026671 Loss_D_fake -0.004048
[872/5000][120/535][89819] Loss_D: -0.022251 Loss_G: 0.001448 Loss_D_real: -0.008168 Loss_D_fake 0.014082
[872/5000][125/535][89820] Loss_D: -0.022644 Loss_G: 0.011263 Loss_D_real: -0.013584 Loss_D_fake 0.009060
[872/5000][130/535][89821] Loss_D: -0.021293 Loss_G: 0.028791 Loss_D_real: -0.034017 Loss_D_fake -0.012723
[872/5000][135/535][89822] Loss_D: -0.022214 Loss_G: -0.011157 Loss_D_real: -0.003655 Loss_D_fake 0.018560
[872/5000][140/535][89823] Loss_D: -0.021870 Loss_G: 0.021114 Loss_D_real: -0.029129 Loss_D_fake -0.007259
[872/5000][145/535][89824] Loss_D: -0.022266 Loss_G: 0.004166 Loss_D_real: -0.025328 Loss_D_fake -0.003062
[872/5000][150/535][89825] Loss_D: -0.021320 Loss_G: 0.014232 Loss_D_real: -0.023266 Loss_D_fake -0.001945
[872/5000][155/535][89826] Loss_D: -0.024256 Loss_G: -0.000811 Loss_D_real: -0.011983 Loss_D_fake 0.012273
[872/5000][160/535][89827] Loss_D: -0.022068 Loss_G: 0.019636 Loss_D_real: -0.018818 Loss_D_fake 0.003250
[872/5000][165/535][89828] Loss_D: -0.023616 Loss_G: 0.005496 Loss_D_real: -0.013732 Loss_D_fake 0.009884
[872/5000][170/535][89829] Loss_D: -0.021938 Loss_G: -0.005961 Loss_D_real: 0.005430 Loss_D_fake 0.027368
[872/5000][175/535][89830] Loss_D: -0.021880 Loss_G: 0.018014 Loss_D_real: -0.022951 Loss_D_fake -0.001071
[872/5000][180/535][89831] Loss_D: -0.023744 Loss_G: 0.009971 Loss_D_real: -0.012153 Loss_D_fake 0.011591
[872/5000][185/535][89832] Loss_D: -0.021756 Loss_G: 0.005973 Loss_D_real: -0.014301 Loss_D_fake 0.007455
[872/5000][190/535][89833] Loss_D: -0.024475 Loss_G: 0.015095 Loss_D_real: -0.022131 Loss_D_fake 0.002344
[872/5000][195/535][89834] Loss_D: -0.023574 Loss_G: 0.025439 Loss_D_real: -0.022644 Loss_D_fake 0.000931
[872/5000][200/535][89835] Loss_D: -0.023696 Loss_G: 0.011673 Loss_D_real: -0.030810 Loss_D_fake -0.007113
[872/5000][205/535][89836] Loss_D: -0.023521 Loss_G: 0.001165 Loss_D_real: -0.006794 Loss_D_fake 0.016727
[872/5000][210/535][89837] Loss_D: -0.023327 Loss_G: -0.006297 Loss_D_real: -0.021439 Loss_D_fake 0.001889
[872/5000][215/535][89838] Loss_D: -0.024367 Loss_G: 0.003894 Loss_D_real: -0.014798 Loss_D_fake 0.009568
[872/5000][220/535][89839] Loss_D: -0.022851 Loss_G: 0.014605 Loss_D_real: -0.013636 Loss_D_fake 0.009215
[872/5000][225/535][89840] Loss_D: -0.023385 Loss_G: 0.005378 Loss_D_real: -0.006696 Loss_D_fake 0.016688
[872/5000][230/535][89841] Loss_D: -0.023460 Loss_G: 0.005051 Loss_D_real: -0.018241 Loss_D_fake 0.005219
[872/5000][235/535][89842] Loss_D: -0.023395 Loss_G: 0.021900 Loss_D_real: -0.028357 Loss_D_fake -0.004963
[872/5000][240/535][89843] Loss_D: -0.021520 Loss_G: 0.022586 Loss_D_real: -0.039136 Loss_D_fake -0.017616
[872/5000][245/535][89844] Loss_D: -0.024242 Loss_G: 0.003392 Loss_D_real: -0.012186 Loss_D_fake 0.012056
[872/5000][250/535][89845] Loss_D: -0.022850 Loss_G: 0.017846 Loss_D_real: -0.019151 Loss_D_fake 0.003699
[872/5000][255/535][89846] Loss_D: -0.023957 Loss_G: 0.027095 Loss_D_real: -0.029952 Loss_D_fake -0.005995
[872/5000][260/535][89847] Loss_D: -0.022493 Loss_G: 0.021207 Loss_D_real: -0.022467 Loss_D_fake 0.000025
[872/5000][265/535][89848] Loss_D: -0.023478 Loss_G: 0.006212 Loss_D_real: -0.018767 Loss_D_fake 0.004711
[872/5000][270/535][89849] Loss_D: -0.024152 Loss_G: 0.001822 Loss_D_real: -0.019492 Loss_D_fake 0.004660
[872/5000][275/535][89850] Loss_D: -0.023387 Loss_G: 0.010979 Loss_D_real: -0.009067 Loss_D_fake 0.014321
[872/5000][280/535][89851] Loss_D: -0.022605 Loss_G: 0.014282 Loss_D_real: -0.019858 Loss_D_fake 0.002747
[872/5000][285/535][89852] Loss_D: -0.021632 Loss_G: 0.006420 Loss_D_real: -0.017266 Loss_D_fake 0.004366
[872/5000][290/535][89853] Loss_D: -0.022148 Loss_G: 0.004769 Loss_D_real: -0.017272 Loss_D_fake 0.004877
[872/5000][295/535][89854] Loss_D: -0.021936 Loss_G: -0.018110 Loss_D_real: -0.010426 Loss_D_fake 0.011510
[872/5000][300/535][89855] Loss_D: -0.021920 Loss_G: 0.015488 Loss_D_real: -0.026877 Loss_D_fake -0.004956
[872/5000][305/535][89856] Loss_D: -0.023288 Loss_G: 0.008671 Loss_D_real: -0.021176 Loss_D_fake 0.002112
[872/5000][310/535][89857] Loss_D: -0.024628 Loss_G: 0.018782 Loss_D_real: -0.019057 Loss_D_fake 0.005571
[872/5000][315/535][89858] Loss_D: -0.022347 Loss_G: 0.027568 Loss_D_real: -0.038890 Loss_D_fake -0.016543
[872/5000][320/535][89859] Loss_D: -0.022615 Loss_G: -0.009091 Loss_D_real: -0.012181 Loss_D_fake 0.010434
[872/5000][325/535][89860] Loss_D: -0.023142 Loss_G: 0.025561 Loss_D_real: -0.026858 Loss_D_fake -0.003715
[872/5000][330/535][89861] Loss_D: -0.022784 Loss_G: -0.005982 Loss_D_real: -0.011885 Loss_D_fake 0.010900
[872/5000][335/535][89862] Loss_D: -0.022544 Loss_G: 0.029841 Loss_D_real: -0.026802 Loss_D_fake -0.004258
[872/5000][340/535][89863] Loss_D: -0.022581 Loss_G: -0.013454 Loss_D_real: -0.009115 Loss_D_fake 0.013465
[872/5000][345/535][89864] Loss_D: -0.021144 Loss_G: 0.013940 Loss_D_real: -0.019013 Loss_D_fake 0.002131
[872/5000][350/535][89865] Loss_D: -0.022554 Loss_G: 0.030355 Loss_D_real: -0.031303 Loss_D_fake -0.008749
[872/5000][355/535][89866] Loss_D: -0.023125 Loss_G: 0.011856 Loss_D_real: -0.023964 Loss_D_fake -0.000840
[872/5000][360/535][89867] Loss_D: -0.023248 Loss_G: 0.000483 Loss_D_real: -0.017284 Loss_D_fake 0.005964
[872/5000][365/535][89868] Loss_D: -0.023162 Loss_G: 0.013226 Loss_D_real: -0.024246 Loss_D_fake -0.001084
[872/5000][370/535][89869] Loss_D: -0.022737 Loss_G: 0.003365 Loss_D_real: -0.018398 Loss_D_fake 0.004339
[872/5000][375/535][89870] Loss_D: -0.022347 Loss_G: -0.007384 Loss_D_real: -0.008918 Loss_D_fake 0.013429
[872/5000][380/535][89871] Loss_D: -0.021591 Loss_G: 0.032711 Loss_D_real: -0.032538 Loss_D_fake -0.010947
[872/5000][385/535][89872] Loss_D: -0.023310 Loss_G: -0.003595 Loss_D_real: -0.012145 Loss_D_fake 0.011165
[872/5000][390/535][89873] Loss_D: -0.023296 Loss_G: 0.028934 Loss_D_real: -0.022260 Loss_D_fake 0.001036
[872/5000][395/535][89874] Loss_D: -0.023608 Loss_G: -0.001868 Loss_D_real: -0.013070 Loss_D_fake 0.010538
[872/5000][400/535][89875] Loss_D: -0.023692 Loss_G: 0.009235 Loss_D_real: -0.023592 Loss_D_fake 0.000099
[872/5000][405/535][89876] Loss_D: -0.023792 Loss_G: 0.002221 Loss_D_real: -0.002885 Loss_D_fake 0.020907
[872/5000][410/535][89877] Loss_D: -0.022480 Loss_G: 0.019880 Loss_D_real: -0.027396 Loss_D_fake -0.004916
[872/5000][415/535][89878] Loss_D: -0.023268 Loss_G: 0.012436 Loss_D_real: -0.022261 Loss_D_fake 0.001007
[872/5000][420/535][89879] Loss_D: -0.021870 Loss_G: 0.009562 Loss_D_real: -0.017125 Loss_D_fake 0.004745
[872/5000][425/535][89880] Loss_D: -0.021320 Loss_G: 0.026679 Loss_D_real: -0.033637 Loss_D_fake -0.012317
[872/5000][430/535][89881] Loss_D: -0.023496 Loss_G: 0.006340 Loss_D_real: -0.021537 Loss_D_fake 0.001958
[872/5000][435/535][89882] Loss_D: -0.021554 Loss_G: 0.020902 Loss_D_real: -0.033012 Loss_D_fake -0.011458
[872/5000][440/535][89883] Loss_D: -0.023052 Loss_G: 0.001603 Loss_D_real: -0.015795 Loss_D_fake 0.007257
[872/5000][445/535][89884] Loss_D: -0.023773 Loss_G: 0.009847 Loss_D_real: -0.023033 Loss_D_fake 0.000740
[872/5000][450/535][89885] Loss_D: -0.023148 Loss_G: 0.024070 Loss_D_real: -0.028644 Loss_D_fake -0.005496
[872/5000][455/535][89886] Loss_D: -0.023392 Loss_G: 0.016218 Loss_D_real: -0.027327 Loss_D_fake -0.003935
[872/5000][460/535][89887] Loss_D: -0.023325 Loss_G: 0.017698 Loss_D_real: -0.018999 Loss_D_fake 0.004326
[872/5000][465/535][89888] Loss_D: -0.023043 Loss_G: 0.000865 Loss_D_real: -0.019577 Loss_D_fake 0.003465
[872/5000][470/535][89889] Loss_D: -0.023198 Loss_G: 0.010030 Loss_D_real: -0.017563 Loss_D_fake 0.005635
[872/5000][475/535][89890] Loss_D: -0.023620 Loss_G: -0.002697 Loss_D_real: -0.016412 Loss_D_fake 0.007208
[872/5000][480/535][89891] Loss_D: -0.022511 Loss_G: 0.006046 Loss_D_real: -0.012039 Loss_D_fake 0.010472
[872/5000][485/535][89892] Loss_D: -0.022328 Loss_G: 0.022075 Loss_D_real: -0.030210 Loss_D_fake -0.007882
[872/5000][490/535][89893] Loss_D: -0.022126 Loss_G: 0.024284 Loss_D_real: -0.032631 Loss_D_fake -0.010504
[872/5000][495/535][89894] Loss_D: -0.023433 Loss_G: 0.009055 Loss_D_real: -0.026339 Loss_D_fake -0.002907
[872/5000][500/535][89895] Loss_D: -0.021409 Loss_G: -0.016288 Loss_D_real: -0.003746 Loss_D_fake 0.017663
[872/5000][505/535][89896] Loss_D: -0.023639 Loss_G: 0.014916 Loss_D_real: -0.022640 Loss_D_fake 0.000999
[872/5000][510/535][89897] Loss_D: -0.022095 Loss_G: 0.019103 Loss_D_real: -0.016587 Loss_D_fake 0.005508
[872/5000][515/535][89898] Loss_D: -0.023327 Loss_G: 0.001136 Loss_D_real: -0.009976 Loss_D_fake 0.013351
[872/5000][520/535][89899] Loss_D: -0.023544 Loss_G: 0.002704 Loss_D_real: -0.014869 Loss_D_fake 0.008675
[872/5000][525/535][89900] Loss_D: -0.023015 Loss_G: -0.001369 Loss_D_real: -0.015215 Loss_D_fake 0.007801
[872/5000][530/535][89901] Loss_D: -0.022244 Loss_G: 0.016223 Loss_D_real: -0.017324 Loss_D_fake 0.004920
[872/5000][535/535][89902] Loss_D: -0.023606 Loss_G: 0.039358 Loss_D_real: -0.028052 Loss_D_fake -0.004446
[873/5000][5/535][89903] Loss_D: -0.022500 Loss_G: -0.004273 Loss_D_real: -0.017972 Loss_D_fake 0.004528
[873/5000][10/535][89904] Loss_D: -0.021205 Loss_G: 0.010163 Loss_D_real: -0.008623 Loss_D_fake 0.012582
[873/5000][15/535][89905] Loss_D: -0.022491 Loss_G: 0.011779 Loss_D_real: -0.017020 Loss_D_fake 0.005471
[873/5000][20/535][89906] Loss_D: -0.023145 Loss_G: 0.012858 Loss_D_real: -0.019340 Loss_D_fake 0.003806
[873/5000][25/535][89907] Loss_D: -0.021019 Loss_G: 0.016911 Loss_D_real: -0.020395 Loss_D_fake 0.000623
[873/5000][30/535][89908] Loss_D: -0.023714 Loss_G: 0.009064 Loss_D_real: -0.026601 Loss_D_fake -0.002887
[873/5000][35/535][89909] Loss_D: -0.023271 Loss_G: 0.016334 Loss_D_real: -0.023705 Loss_D_fake -0.000433
[873/5000][40/535][89910] Loss_D: -0.023052 Loss_G: 0.021421 Loss_D_real: -0.031852 Loss_D_fake -0.008800
[873/5000][45/535][89911] Loss_D: -0.023916 Loss_G: -0.003245 Loss_D_real: -0.018544 Loss_D_fake 0.005371
[873/5000][50/535][89912] Loss_D: -0.023859 Loss_G: 0.020177 Loss_D_real: -0.027220 Loss_D_fake -0.003361
[873/5000][55/535][89913] Loss_D: -0.024378 Loss_G: 0.006748 Loss_D_real: -0.019680 Loss_D_fake 0.004698
[873/5000][60/535][89914] Loss_D: -0.022257 Loss_G: 0.032443 Loss_D_real: -0.035766 Loss_D_fake -0.013509
[873/5000][65/535][89915] Loss_D: -0.022645 Loss_G: -0.001783 Loss_D_real: -0.013351 Loss_D_fake 0.009295
[873/5000][70/535][89916] Loss_D: -0.021412 Loss_G: 0.001964 Loss_D_real: -0.018086 Loss_D_fake 0.003326
[873/5000][75/535][89917] Loss_D: -0.023606 Loss_G: 0.022276 Loss_D_real: -0.015988 Loss_D_fake 0.007619
[873/5000][80/535][89918] Loss_D: -0.022983 Loss_G: 0.027656 Loss_D_real: -0.030980 Loss_D_fake -0.007997
[873/5000][85/535][89919] Loss_D: -0.021520 Loss_G: 0.030547 Loss_D_real: -0.030459 Loss_D_fake -0.008939
[873/5000][90/535][89920] Loss_D: -0.023255 Loss_G: 0.005503 Loss_D_real: -0.025639 Loss_D_fake -0.002384
[873/5000][95/535][89921] Loss_D: -0.023043 Loss_G: 0.016126 Loss_D_real: -0.022948 Loss_D_fake 0.000095
[873/5000][100/535][89922] Loss_D: -0.023121 Loss_G: 0.013843 Loss_D_real: -0.021396 Loss_D_fake 0.001725
[873/5000][105/535][89923] Loss_D: -0.023967 Loss_G: 0.001376 Loss_D_real: -0.013587 Loss_D_fake 0.010380
[873/5000][110/535][89924] Loss_D: -0.023808 Loss_G: 0.009042 Loss_D_real: -0.017877 Loss_D_fake 0.005930
[873/5000][115/535][89925] Loss_D: -0.023404 Loss_G: 0.002863 Loss_D_real: -0.017120 Loss_D_fake 0.006284
[873/5000][120/535][89926] Loss_D: -0.022822 Loss_G: 0.023000 Loss_D_real: -0.022794 Loss_D_fake 0.000028
[873/5000][125/535][89927] Loss_D: -0.024516 Loss_G: -0.004411 Loss_D_real: -0.009824 Loss_D_fake 0.014692
[873/5000][130/535][89928] Loss_D: -0.022110 Loss_G: 0.029957 Loss_D_real: -0.028028 Loss_D_fake -0.005918
[873/5000][135/535][89929] Loss_D: -0.022633 Loss_G: 0.010788 Loss_D_real: -0.018543 Loss_D_fake 0.004090
[873/5000][140/535][89930] Loss_D: -0.022493 Loss_G: 0.003712 Loss_D_real: -0.006090 Loss_D_fake 0.016402
[873/5000][145/535][89931] Loss_D: -0.023275 Loss_G: 0.008719 Loss_D_real: -0.017912 Loss_D_fake 0.005362
[873/5000][150/535][89932] Loss_D: -0.022222 Loss_G: -0.003778 Loss_D_real: -0.008998 Loss_D_fake 0.013224
[873/5000][155/535][89933] Loss_D: -0.022488 Loss_G: 0.024812 Loss_D_real: -0.028281 Loss_D_fake -0.005792
[873/5000][160/535][89934] Loss_D: -0.021384 Loss_G: -0.006848 Loss_D_real: -0.011819 Loss_D_fake 0.009565
[873/5000][165/535][89935] Loss_D: -0.021651 Loss_G: 0.007062 Loss_D_real: -0.016874 Loss_D_fake 0.004777
[873/5000][170/535][89936] Loss_D: -0.022913 Loss_G: -0.013043 Loss_D_real: -0.011222 Loss_D_fake 0.011692
[873/5000][175/535][89937] Loss_D: -0.021485 Loss_G: 0.028972 Loss_D_real: -0.027278 Loss_D_fake -0.005793
[873/5000][180/535][89938] Loss_D: -0.021174 Loss_G: -0.013352 Loss_D_real: -0.002808 Loss_D_fake 0.018366
[873/5000][185/535][89939] Loss_D: -0.021499 Loss_G: 0.010145 Loss_D_real: -0.026795 Loss_D_fake -0.005296
[873/5000][190/535][89940] Loss_D: -0.020881 Loss_G: -0.021377 Loss_D_real: 0.003981 Loss_D_fake 0.024862
[873/5000][195/535][89941] Loss_D: -0.021321 Loss_G: 0.009819 Loss_D_real: -0.014087 Loss_D_fake 0.007234
[873/5000][200/535][89942] Loss_D: -0.022778 Loss_G: 0.002437 Loss_D_real: -0.014981 Loss_D_fake 0.007797
[873/5000][205/535][89943] Loss_D: -0.023507 Loss_G: 0.012890 Loss_D_real: -0.015409 Loss_D_fake 0.008098
[873/5000][210/535][89944] Loss_D: -0.024102 Loss_G: 0.006541 Loss_D_real: -0.008739 Loss_D_fake 0.015364
[873/5000][215/535][89945] Loss_D: -0.021980 Loss_G: 0.010669 Loss_D_real: -0.029278 Loss_D_fake -0.007297
[873/5000][220/535][89946] Loss_D: -0.022978 Loss_G: 0.009760 Loss_D_real: -0.015973 Loss_D_fake 0.007005
[873/5000][225/535][89947] Loss_D: -0.022924 Loss_G: 0.002164 Loss_D_real: -0.016634 Loss_D_fake 0.006290
[873/5000][230/535][89948] Loss_D: -0.024139 Loss_G: 0.014983 Loss_D_real: -0.023455 Loss_D_fake 0.000685
[873/5000][235/535][89949] Loss_D: -0.023625 Loss_G: -0.004566 Loss_D_real: -0.014527 Loss_D_fake 0.009099
[873/5000][240/535][89950] Loss_D: -0.022921 Loss_G: 0.003979 Loss_D_real: -0.027734 Loss_D_fake -0.004813
[873/5000][245/535][89951] Loss_D: -0.022930 Loss_G: 0.024634 Loss_D_real: -0.018803 Loss_D_fake 0.004127
[873/5000][250/535][89952] Loss_D: -0.022889 Loss_G: 0.027880 Loss_D_real: -0.024252 Loss_D_fake -0.001363
[873/5000][255/535][89953] Loss_D: -0.023043 Loss_G: -0.005519 Loss_D_real: -0.014140 Loss_D_fake 0.008903
[873/5000][260/535][89954] Loss_D: -0.021815 Loss_G: 0.005137 Loss_D_real: -0.030630 Loss_D_fake -0.008815
[873/5000][265/535][89955] Loss_D: -0.022459 Loss_G: 0.017948 Loss_D_real: -0.029678 Loss_D_fake -0.007219
[873/5000][270/535][89956] Loss_D: -0.022943 Loss_G: 0.030568 Loss_D_real: -0.030930 Loss_D_fake -0.007986
[873/5000][275/535][89957] Loss_D: -0.023185 Loss_G: 0.005938 Loss_D_real: -0.029199 Loss_D_fake -0.006013
[873/5000][280/535][89958] Loss_D: -0.021521 Loss_G: -0.005334 Loss_D_real: -0.003336 Loss_D_fake 0.018184
[873/5000][285/535][89959] Loss_D: -0.023075 Loss_G: 0.016969 Loss_D_real: -0.026481 Loss_D_fake -0.003405
[873/5000][290/535][89960] Loss_D: -0.023589 Loss_G: 0.017121 Loss_D_real: -0.022183 Loss_D_fake 0.001405
[873/5000][295/535][89961] Loss_D: -0.024235 Loss_G: 0.006956 Loss_D_real: -0.007530 Loss_D_fake 0.016706
[873/5000][300/535][89962] Loss_D: -0.022182 Loss_G: 0.004724 Loss_D_real: -0.020417 Loss_D_fake 0.001765
[873/5000][305/535][89963] Loss_D: -0.024310 Loss_G: 0.005914 Loss_D_real: -0.026495 Loss_D_fake -0.002185
[873/5000][310/535][89964] Loss_D: -0.024083 Loss_G: 0.004376 Loss_D_real: -0.018610 Loss_D_fake 0.005473
[873/5000][315/535][89965] Loss_D: -0.023722 Loss_G: 0.019985 Loss_D_real: -0.032697 Loss_D_fake -0.008976
[873/5000][320/535][89966] Loss_D: -0.023079 Loss_G: 0.002702 Loss_D_real: -0.004458 Loss_D_fake 0.018620
[873/5000][325/535][89967] Loss_D: -0.022739 Loss_G: 0.001849 Loss_D_real: -0.026145 Loss_D_fake -0.003406
[873/5000][330/535][89968] Loss_D: -0.023599 Loss_G: 0.006936 Loss_D_real: -0.018419 Loss_D_fake 0.005179
[873/5000][335/535][89969] Loss_D: -0.022318 Loss_G: 0.025701 Loss_D_real: -0.027827 Loss_D_fake -0.005509
[873/5000][340/535][89970] Loss_D: -0.022727 Loss_G: 0.007811 Loss_D_real: -0.018878 Loss_D_fake 0.003849
[873/5000][345/535][89971] Loss_D: -0.021575 Loss_G: 0.010311 Loss_D_real: -0.018809 Loss_D_fake 0.002766
[873/5000][350/535][89972] Loss_D: -0.020966 Loss_G: -0.014994 Loss_D_real: 0.002904 Loss_D_fake 0.023870
[873/5000][355/535][89973] Loss_D: -0.022410 Loss_G: -0.012342 Loss_D_real: -0.007476 Loss_D_fake 0.014934
[873/5000][360/535][89974] Loss_D: -0.023020 Loss_G: -0.000103 Loss_D_real: 0.001412 Loss_D_fake 0.024432
[873/5000][365/535][89975] Loss_D: -0.023089 Loss_G: 0.013637 Loss_D_real: -0.009757 Loss_D_fake 0.013331
[873/5000][370/535][89976] Loss_D: -0.023707 Loss_G: 0.016081 Loss_D_real: -0.030255 Loss_D_fake -0.006548
[873/5000][375/535][89977] Loss_D: -0.024444 Loss_G: 0.009900 Loss_D_real: -0.008943 Loss_D_fake 0.015501
[873/5000][380/535][89978] Loss_D: -0.022414 Loss_G: 0.020486 Loss_D_real: -0.021135 Loss_D_fake 0.001279
[873/5000][385/535][89979] Loss_D: -0.022631 Loss_G: 0.018909 Loss_D_real: -0.026491 Loss_D_fake -0.003860
[873/5000][390/535][89980] Loss_D: -0.022091 Loss_G: 0.020409 Loss_D_real: -0.021100 Loss_D_fake 0.000991
[873/5000][395/535][89981] Loss_D: -0.021597 Loss_G: 0.020033 Loss_D_real: -0.032145 Loss_D_fake -0.010549
[873/5000][400/535][89982] Loss_D: -0.022884 Loss_G: 0.003987 Loss_D_real: -0.013629 Loss_D_fake 0.009255
[873/5000][405/535][89983] Loss_D: -0.022444 Loss_G: 0.015465 Loss_D_real: -0.023450 Loss_D_fake -0.001006
[873/5000][410/535][89984] Loss_D: -0.023076 Loss_G: 0.011786 Loss_D_real: -0.016659 Loss_D_fake 0.006417
[873/5000][415/535][89985] Loss_D: -0.022247 Loss_G: 0.012178 Loss_D_real: -0.021442 Loss_D_fake 0.000805
[873/5000][420/535][89986] Loss_D: -0.021975 Loss_G: 0.006358 Loss_D_real: -0.023817 Loss_D_fake -0.001842
[873/5000][425/535][89987] Loss_D: -0.022727 Loss_G: 0.019264 Loss_D_real: -0.026844 Loss_D_fake -0.004117
[873/5000][430/535][89988] Loss_D: -0.022813 Loss_G: 0.007698 Loss_D_real: -0.013289 Loss_D_fake 0.009523
[873/5000][435/535][89989] Loss_D: -0.022854 Loss_G: 0.001173 Loss_D_real: -0.016523 Loss_D_fake 0.006331
[873/5000][440/535][89990] Loss_D: -0.021469 Loss_G: 0.021400 Loss_D_real: -0.033990 Loss_D_fake -0.012522
[873/5000][445/535][89991] Loss_D: -0.021248 Loss_G: 0.026690 Loss_D_real: -0.029208 Loss_D_fake -0.007960
[873/5000][450/535][89992] Loss_D: -0.022022 Loss_G: 0.007839 Loss_D_real: -0.013487 Loss_D_fake 0.008535
[873/5000][455/535][89993] Loss_D: -0.022094 Loss_G: 0.029240 Loss_D_real: -0.033286 Loss_D_fake -0.011192
[873/5000][460/535][89994] Loss_D: -0.023514 Loss_G: 0.009275 Loss_D_real: -0.019346 Loss_D_fake 0.004168
[873/5000][465/535][89995] Loss_D: -0.022187 Loss_G: 0.012543 Loss_D_real: -0.020846 Loss_D_fake 0.001340
[873/5000][470/535][89996] Loss_D: -0.025363 Loss_G: 0.004922 Loss_D_real: -0.011274 Loss_D_fake 0.014088
[873/5000][475/535][89997] Loss_D: -0.023599 Loss_G: 0.003018 Loss_D_real: -0.014861 Loss_D_fake 0.008738
[873/5000][480/535][89998] Loss_D: -0.023083 Loss_G: 0.029833 Loss_D_real: -0.037218 Loss_D_fake -0.014136
[873/5000][485/535][89999] Loss_D: -0.023836 Loss_G: 0.007285 Loss_D_real: -0.022178 Loss_D_fake 0.001658
[873/5000][490/535][90000] Loss_D: -0.023618 Loss_G: 0.005628 Loss_D_real: -0.010269 Loss_D_fake 0.013349
[873/5000][535/535][90001] Loss_D: -0.024992 Loss_G: 0.023211 Loss_D_real: -0.025420 Loss_D_fake -0.000428
[874/5000][5/535][90002] Loss_D: -0.023698 Loss_G: 0.012103 Loss_D_real: -0.018559 Loss_D_fake 0.005138
[874/5000][10/535][90003] Loss_D: -0.020968 Loss_G: 0.012161 Loss_D_real: -0.018784 Loss_D_fake 0.002184
[874/5000][15/535][90004] Loss_D: -0.020895 Loss_G: -0.006921 Loss_D_real: -0.004315 Loss_D_fake 0.016581
[874/5000][20/535][90005] Loss_D: -0.023360 Loss_G: -0.010678 Loss_D_real: -0.015767 Loss_D_fake 0.007593
[874/5000][25/535][90006] Loss_D: -0.022070 Loss_G: 0.016313 Loss_D_real: -0.024202 Loss_D_fake -0.002132
[874/5000][30/535][90007] Loss_D: -0.022507 Loss_G: -0.010080 Loss_D_real: -0.012725 Loss_D_fake 0.009783
[874/5000][35/535][90008] Loss_D: -0.022759 Loss_G: -0.005894 Loss_D_real: -0.002184 Loss_D_fake 0.020574
[874/5000][40/535][90009] Loss_D: -0.023080 Loss_G: 0.009487 Loss_D_real: -0.012622 Loss_D_fake 0.010458
[874/5000][45/535][90010] Loss_D: -0.022462 Loss_G: 0.013985 Loss_D_real: -0.015240 Loss_D_fake 0.007222
[874/5000][50/535][90011] Loss_D: -0.023049 Loss_G: -0.002531 Loss_D_real: -0.014379 Loss_D_fake 0.008669
[874/5000][55/535][90012] Loss_D: -0.023514 Loss_G: 0.003172 Loss_D_real: -0.028433 Loss_D_fake -0.004919
[874/5000][60/535][90013] Loss_D: -0.021604 Loss_G: 0.017223 Loss_D_real: -0.042875 Loss_D_fake -0.021272
[874/5000][65/535][90014] Loss_D: -0.023340 Loss_G: -0.001039 Loss_D_real: -0.015359 Loss_D_fake 0.007980
[874/5000][70/535][90015] Loss_D: -0.021306 Loss_G: -0.007098 Loss_D_real: -0.003456 Loss_D_fake 0.017850
[874/5000][75/535][90016] Loss_D: -0.022084 Loss_G: 0.001198 Loss_D_real: -0.031323 Loss_D_fake -0.009239
[874/5000][80/535][90017] Loss_D: -0.022778 Loss_G: 0.012533 Loss_D_real: -0.018010 Loss_D_fake 0.004768
[874/5000][85/535][90018] Loss_D: -0.022738 Loss_G: -0.008820 Loss_D_real: -0.015499 Loss_D_fake 0.007238
[874/5000][90/535][90019] Loss_D: -0.022259 Loss_G: 0.031810 Loss_D_real: -0.029636 Loss_D_fake -0.007377
[874/5000][95/535][90020] Loss_D: -0.023111 Loss_G: 0.001462 Loss_D_real: -0.016924 Loss_D_fake 0.006187
[874/5000][100/535][90021] Loss_D: -0.022313 Loss_G: 0.017923 Loss_D_real: -0.024397 Loss_D_fake -0.002084
[874/5000][105/535][90022] Loss_D: -0.023047 Loss_G: -0.005602 Loss_D_real: -0.022013 Loss_D_fake 0.001035
[874/5000][110/535][90023] Loss_D: -0.023472 Loss_G: 0.028599 Loss_D_real: -0.033490 Loss_D_fake -0.010019
[874/5000][115/535][90024] Loss_D: -0.023184 Loss_G: 0.022503 Loss_D_real: -0.025260 Loss_D_fake -0.002076
[874/5000][120/535][90025] Loss_D: -0.023490 Loss_G: -0.011314 Loss_D_real: -0.005328 Loss_D_fake 0.018162
[874/5000][125/535][90026] Loss_D: -0.021182 Loss_G: 0.028699 Loss_D_real: -0.034435 Loss_D_fake -0.013252
[874/5000][130/535][90027] Loss_D: -0.023505 Loss_G: -0.000372 Loss_D_real: -0.014131 Loss_D_fake 0.009374
[874/5000][135/535][90028] Loss_D: -0.023182 Loss_G: 0.008159 Loss_D_real: -0.009774 Loss_D_fake 0.013407
[874/5000][140/535][90029] Loss_D: -0.023225 Loss_G: -0.002514 Loss_D_real: -0.016230 Loss_D_fake 0.006995
[874/5000][145/535][90030] Loss_D: -0.022959 Loss_G: 0.002079 Loss_D_real: -0.026654 Loss_D_fake -0.003695
[874/5000][150/535][90031] Loss_D: -0.022634 Loss_G: 0.020190 Loss_D_real: -0.022793 Loss_D_fake -0.000158
[874/5000][155/535][90032] Loss_D: -0.022619 Loss_G: -0.000653 Loss_D_real: -0.006653 Loss_D_fake 0.015966
[874/5000][160/535][90033] Loss_D: -0.022762 Loss_G: 0.009032 Loss_D_real: -0.022497 Loss_D_fake 0.000265
[874/5000][165/535][90034] Loss_D: -0.023249 Loss_G: 0.009553 Loss_D_real: -0.014939 Loss_D_fake 0.008310
[874/5000][170/535][90035] Loss_D: -0.022755 Loss_G: 0.013570 Loss_D_real: -0.010750 Loss_D_fake 0.012005
[874/5000][175/535][90036] Loss_D: -0.022018 Loss_G: -0.011446 Loss_D_real: 0.004767 Loss_D_fake 0.026785
[874/5000][180/535][90037] Loss_D: -0.020585 Loss_G: 0.011800 Loss_D_real: -0.023503 Loss_D_fake -0.002918
[874/5000][185/535][90038] Loss_D: -0.023720 Loss_G: 0.003366 Loss_D_real: -0.018571 Loss_D_fake 0.005149
[874/5000][190/535][90039] Loss_D: -0.021699 Loss_G: 0.024931 Loss_D_real: -0.032061 Loss_D_fake -0.010362
[874/5000][195/535][90040] Loss_D: -0.023188 Loss_G: 0.010913 Loss_D_real: -0.024123 Loss_D_fake -0.000935
[874/5000][200/535][90041] Loss_D: -0.021668 Loss_G: 0.013850 Loss_D_real: -0.035626 Loss_D_fake -0.013958
[874/5000][205/535][90042] Loss_D: -0.022623 Loss_G: 0.028268 Loss_D_real: -0.027837 Loss_D_fake -0.005214
[874/5000][210/535][90043] Loss_D: -0.021843 Loss_G: 0.012015 Loss_D_real: -0.024944 Loss_D_fake -0.003101
[874/5000][215/535][90044] Loss_D: -0.023789 Loss_G: 0.016447 Loss_D_real: -0.027351 Loss_D_fake -0.003561
[874/5000][220/535][90045] Loss_D: -0.024136 Loss_G: 0.022314 Loss_D_real: -0.027761 Loss_D_fake -0.003625
[874/5000][225/535][90046] Loss_D: -0.023929 Loss_G: 0.000790 Loss_D_real: -0.013352 Loss_D_fake 0.010578
[874/5000][230/535][90047] Loss_D: -0.022996 Loss_G: 0.003288 Loss_D_real: -0.025705 Loss_D_fake -0.002709
[874/5000][235/535][90048] Loss_D: -0.024669 Loss_G: 0.010433 Loss_D_real: -0.019335 Loss_D_fake 0.005334
[874/5000][240/535][90049] Loss_D: -0.022140 Loss_G: 0.008582 Loss_D_real: -0.024089 Loss_D_fake -0.001949
[874/5000][245/535][90050] Loss_D: -0.023422 Loss_G: -0.003186 Loss_D_real: -0.014002 Loss_D_fake 0.009421
[874/5000][250/535][90051] Loss_D: -0.022082 Loss_G: 0.004171 Loss_D_real: -0.014511 Loss_D_fake 0.007571
[874/5000][255/535][90052] Loss_D: -0.022194 Loss_G: 0.024295 Loss_D_real: -0.026303 Loss_D_fake -0.004109
[874/5000][260/535][90053] Loss_D: -0.022928 Loss_G: 0.023941 Loss_D_real: -0.021365 Loss_D_fake 0.001563
[874/5000][265/535][90054] Loss_D: -0.024231 Loss_G: 0.003179 Loss_D_real: -0.020784 Loss_D_fake 0.003447
[874/5000][270/535][90055] Loss_D: -0.023521 Loss_G: -0.002305 Loss_D_real: -0.016987 Loss_D_fake 0.006534
[874/5000][275/535][90056] Loss_D: -0.022138 Loss_G: 0.014331 Loss_D_real: -0.030398 Loss_D_fake -0.008260
[874/5000][280/535][90057] Loss_D: -0.023432 Loss_G: 0.015928 Loss_D_real: -0.018811 Loss_D_fake 0.004621
[874/5000][285/535][90058] Loss_D: -0.023178 Loss_G: -0.002825 Loss_D_real: -0.001731 Loss_D_fake 0.021447
[874/5000][290/535][90059] Loss_D: -0.021902 Loss_G: 0.012957 Loss_D_real: -0.025643 Loss_D_fake -0.003740
[874/5000][295/535][90060] Loss_D: -0.024132 Loss_G: 0.010878 Loss_D_real: -0.017003 Loss_D_fake 0.007130
[874/5000][300/535][90061] Loss_D: -0.024002 Loss_G: 0.005387 Loss_D_real: -0.019022 Loss_D_fake 0.004981
[874/5000][305/535][90062] Loss_D: -0.023146 Loss_G: 0.019015 Loss_D_real: -0.029661 Loss_D_fake -0.006515
[874/5000][310/535][90063] Loss_D: -0.023430 Loss_G: 0.007104 Loss_D_real: -0.025177 Loss_D_fake -0.001747
[874/5000][315/535][90064] Loss_D: -0.023720 Loss_G: 0.008330 Loss_D_real: -0.016203 Loss_D_fake 0.007517
[874/5000][320/535][90065] Loss_D: -0.023263 Loss_G: 0.005276 Loss_D_real: -0.017734 Loss_D_fake 0.005530
[874/5000][325/535][90066] Loss_D: -0.021904 Loss_G: 0.004951 Loss_D_real: -0.010181 Loss_D_fake 0.011724
[874/5000][330/535][90067] Loss_D: -0.021651 Loss_G: 0.023458 Loss_D_real: -0.020352 Loss_D_fake 0.001299
[874/5000][335/535][90068] Loss_D: -0.023271 Loss_G: 0.005395 Loss_D_real: -0.010415 Loss_D_fake 0.012856
[874/5000][340/535][90069] Loss_D: -0.022372 Loss_G: 0.022247 Loss_D_real: -0.032707 Loss_D_fake -0.010335
[874/5000][345/535][90070] Loss_D: -0.022215 Loss_G: 0.027063 Loss_D_real: -0.029802 Loss_D_fake -0.007587
[874/5000][350/535][90071] Loss_D: -0.022646 Loss_G: 0.007388 Loss_D_real: -0.016890 Loss_D_fake 0.005757
[874/5000][355/535][90072] Loss_D: -0.023246 Loss_G: 0.018554 Loss_D_real: -0.029104 Loss_D_fake -0.005858
[874/5000][360/535][90073] Loss_D: -0.022330 Loss_G: 0.020732 Loss_D_real: -0.032505 Loss_D_fake -0.010175
[874/5000][365/535][90074] Loss_D: -0.021570 Loss_G: 0.016419 Loss_D_real: -0.022694 Loss_D_fake -0.001124
[874/5000][370/535][90075] Loss_D: -0.022935 Loss_G: 0.001052 Loss_D_real: -0.015226 Loss_D_fake 0.007709
[874/5000][375/535][90076] Loss_D: -0.024096 Loss_G: 0.029585 Loss_D_real: -0.033221 Loss_D_fake -0.009124
[874/5000][380/535][90077] Loss_D: -0.022929 Loss_G: 0.018232 Loss_D_real: -0.024855 Loss_D_fake -0.001927
[874/5000][385/535][90078] Loss_D: -0.023997 Loss_G: 0.020868 Loss_D_real: -0.029567 Loss_D_fake -0.005570
[874/5000][390/535][90079] Loss_D: -0.024074 Loss_G: 0.004895 Loss_D_real: -0.016491 Loss_D_fake 0.007583
[874/5000][395/535][90080] Loss_D: -0.022915 Loss_G: 0.012097 Loss_D_real: -0.015959 Loss_D_fake 0.006956
[874/5000][400/535][90081] Loss_D: -0.023914 Loss_G: 0.027604 Loss_D_real: -0.025874 Loss_D_fake -0.001960
[874/5000][405/535][90082] Loss_D: -0.021568 Loss_G: -0.006094 Loss_D_real: -0.009137 Loss_D_fake 0.012431
[874/5000][410/535][90083] Loss_D: -0.023958 Loss_G: 0.004232 Loss_D_real: -0.023359 Loss_D_fake 0.000599
[874/5000][415/535][90084] Loss_D: -0.022905 Loss_G: 0.001760 Loss_D_real: -0.009876 Loss_D_fake 0.013029
[874/5000][420/535][90085] Loss_D: -0.022146 Loss_G: 0.018306 Loss_D_real: -0.020511 Loss_D_fake 0.001635
[874/5000][425/535][90086] Loss_D: -0.022555 Loss_G: 0.000601 Loss_D_real: -0.016267 Loss_D_fake 0.006287
[874/5000][430/535][90087] Loss_D: -0.022340 Loss_G: 0.004779 Loss_D_real: -0.027547 Loss_D_fake -0.005207
[874/5000][435/535][90088] Loss_D: -0.021784 Loss_G: -0.002936 Loss_D_real: -0.014848 Loss_D_fake 0.006935
[874/5000][440/535][90089] Loss_D: -0.022872 Loss_G: -0.014714 Loss_D_real: -0.011723 Loss_D_fake 0.011149
[874/5000][445/535][90090] Loss_D: -0.023281 Loss_G: 0.009508 Loss_D_real: -0.008741 Loss_D_fake 0.014540
[874/5000][450/535][90091] Loss_D: -0.022240 Loss_G: -0.006341 Loss_D_real: 0.000570 Loss_D_fake 0.022810
[874/5000][455/535][90092] Loss_D: -0.021994 Loss_G: 0.010015 Loss_D_real: -0.026534 Loss_D_fake -0.004540
[874/5000][460/535][90093] Loss_D: -0.022440 Loss_G: -0.003610 Loss_D_real: -0.009983 Loss_D_fake 0.012457
[874/5000][465/535][90094] Loss_D: -0.022078 Loss_G: 0.023173 Loss_D_real: -0.026185 Loss_D_fake -0.004107
[874/5000][470/535][90095] Loss_D: -0.022663 Loss_G: 0.018187 Loss_D_real: -0.025648 Loss_D_fake -0.002985
[874/5000][475/535][90096] Loss_D: -0.023128 Loss_G: 0.004844 Loss_D_real: -0.014934 Loss_D_fake 0.008194
[874/5000][480/535][90097] Loss_D: -0.024140 Loss_G: 0.017104 Loss_D_real: -0.022269 Loss_D_fake 0.001871
[874/5000][485/535][90098] Loss_D: -0.022814 Loss_G: 0.026017 Loss_D_real: -0.029774 Loss_D_fake -0.006960
[874/5000][490/535][90099] Loss_D: -0.021862 Loss_G: 0.012837 Loss_D_real: -0.027261 Loss_D_fake -0.005399
[874/5000][495/535][90100] Loss_D: -0.022564 Loss_G: 0.015768 Loss_D_real: -0.028232 Loss_D_fake -0.005668
[874/5000][500/535][90101] Loss_D: -0.023460 Loss_G: -0.018648 Loss_D_real: -0.005367 Loss_D_fake 0.018093
[874/5000][505/535][90102] Loss_D: -0.022105 Loss_G: 0.006209 Loss_D_real: -0.018033 Loss_D_fake 0.004071
[874/5000][510/535][90103] Loss_D: -0.022648 Loss_G: -0.007023 Loss_D_real: -0.016819 Loss_D_fake 0.005829
[874/5000][515/535][90104] Loss_D: -0.022975 Loss_G: 0.005701 Loss_D_real: -0.004522 Loss_D_fake 0.018453
[874/5000][520/535][90105] Loss_D: -0.021187 Loss_G: 0.002719 Loss_D_real: -0.017707 Loss_D_fake 0.003480
[874/5000][525/535][90106] Loss_D: -0.023225 Loss_G: 0.016337 Loss_D_real: -0.021887 Loss_D_fake 0.001338
[874/5000][530/535][90107] Loss_D: -0.022993 Loss_G: 0.018102 Loss_D_real: -0.030412 Loss_D_fake -0.007419
[874/5000][535/535][90108] Loss_D: -0.024182 Loss_G: -0.022207 Loss_D_real: -0.038284 Loss_D_fake -0.014102
[875/5000][5/535][90109] Loss_D: -0.022751 Loss_G: 0.002205 Loss_D_real: -0.014625 Loss_D_fake 0.008126
[875/5000][10/535][90110] Loss_D: -0.022922 Loss_G: 0.027527 Loss_D_real: -0.026556 Loss_D_fake -0.003635
[875/5000][15/535][90111] Loss_D: -0.022307 Loss_G: 0.020938 Loss_D_real: -0.021749 Loss_D_fake 0.000558
[875/5000][20/535][90112] Loss_D: -0.022050 Loss_G: -0.012991 Loss_D_real: -0.001585 Loss_D_fake 0.020465
[875/5000][25/535][90113] Loss_D: -0.022048 Loss_G: 0.008780 Loss_D_real: -0.025326 Loss_D_fake -0.003278
[875/5000][30/535][90114] Loss_D: -0.022352 Loss_G: 0.011257 Loss_D_real: -0.010599 Loss_D_fake 0.011753
[875/5000][35/535][90115] Loss_D: -0.023577 Loss_G: -0.000319 Loss_D_real: -0.016387 Loss_D_fake 0.007190
[875/5000][40/535][90116] Loss_D: -0.022395 Loss_G: -0.003071 Loss_D_real: -0.014921 Loss_D_fake 0.007474
[875/5000][45/535][90117] Loss_D: -0.024107 Loss_G: 0.007060 Loss_D_real: -0.016486 Loss_D_fake 0.007620
[875/5000][50/535][90118] Loss_D: -0.023191 Loss_G: 0.025479 Loss_D_real: -0.024030 Loss_D_fake -0.000839
[875/5000][55/535][90119] Loss_D: -0.023116 Loss_G: 0.013070 Loss_D_real: -0.026709 Loss_D_fake -0.003593
[875/5000][60/535][90120] Loss_D: -0.023010 Loss_G: 0.021523 Loss_D_real: -0.031207 Loss_D_fake -0.008197
[875/5000][65/535][90121] Loss_D: -0.022421 Loss_G: 0.004402 Loss_D_real: -0.008438 Loss_D_fake 0.013983
[875/5000][70/535][90122] Loss_D: -0.022522 Loss_G: 0.020059 Loss_D_real: -0.029966 Loss_D_fake -0.007444
[875/5000][75/535][90123] Loss_D: -0.022350 Loss_G: -0.009274 Loss_D_real: -0.007275 Loss_D_fake 0.015075
[875/5000][80/535][90124] Loss_D: -0.021556 Loss_G: 0.023550 Loss_D_real: -0.030843 Loss_D_fake -0.009287
[875/5000][85/535][90125] Loss_D: -0.021859 Loss_G: 0.025757 Loss_D_real: -0.022936 Loss_D_fake -0.001077
[875/5000][90/535][90126] Loss_D: -0.023020 Loss_G: -0.000931 Loss_D_real: -0.008694 Loss_D_fake 0.014326
[875/5000][95/535][90127] Loss_D: -0.023007 Loss_G: 0.009162 Loss_D_real: -0.014908 Loss_D_fake 0.008099
[875/5000][100/535][90128] Loss_D: -0.022630 Loss_G: 0.001903 Loss_D_real: -0.016330 Loss_D_fake 0.006300
[875/5000][105/535][90129] Loss_D: -0.023346 Loss_G: 0.005342 Loss_D_real: -0.022917 Loss_D_fake 0.000429
[875/5000][110/535][90130] Loss_D: -0.023291 Loss_G: 0.006415 Loss_D_real: -0.013249 Loss_D_fake 0.010042
[875/5000][115/535][90131] Loss_D: -0.024422 Loss_G: 0.007669 Loss_D_real: -0.006381 Loss_D_fake 0.018041
[875/5000][120/535][90132] Loss_D: -0.023606 Loss_G: 0.018443 Loss_D_real: -0.023233 Loss_D_fake 0.000373
[875/5000][125/535][90133] Loss_D: -0.022689 Loss_G: 0.009194 Loss_D_real: -0.024871 Loss_D_fake -0.002182
[875/5000][130/535][90134] Loss_D: -0.023537 Loss_G: 0.014204 Loss_D_real: -0.014055 Loss_D_fake 0.009483
[875/5000][135/535][90135] Loss_D: -0.023016 Loss_G: 0.021291 Loss_D_real: -0.027317 Loss_D_fake -0.004300
[875/5000][140/535][90136] Loss_D: -0.022779 Loss_G: 0.017435 Loss_D_real: -0.033112 Loss_D_fake -0.010333
[875/5000][145/535][90137] Loss_D: -0.022733 Loss_G: -0.008212 Loss_D_real: -0.007564 Loss_D_fake 0.015169
[875/5000][150/535][90138] Loss_D: -0.021382 Loss_G: 0.005727 Loss_D_real: -0.029345 Loss_D_fake -0.007964
[875/5000][155/535][90139] Loss_D: -0.023973 Loss_G: -0.002130 Loss_D_real: 0.002465 Loss_D_fake 0.026438
[875/5000][160/535][90140] Loss_D: -0.022003 Loss_G: 0.013121 Loss_D_real: -0.033138 Loss_D_fake -0.011135
[875/5000][165/535][90141] Loss_D: -0.022542 Loss_G: 0.015591 Loss_D_real: -0.030055 Loss_D_fake -0.007513
[875/5000][170/535][90142] Loss_D: -0.021749 Loss_G: 0.015782 Loss_D_real: -0.016957 Loss_D_fake 0.004792
[875/5000][175/535][90143] Loss_D: -0.022488 Loss_G: -0.014256 Loss_D_real: -0.001936 Loss_D_fake 0.020552
[875/5000][180/535][90144] Loss_D: -0.022406 Loss_G: 0.012027 Loss_D_real: -0.020179 Loss_D_fake 0.002227
[875/5000][185/535][90145] Loss_D: -0.022125 Loss_G: -0.016432 Loss_D_real: -0.000182 Loss_D_fake 0.021943
[875/5000][190/535][90146] Loss_D: -0.022412 Loss_G: 0.007650 Loss_D_real: -0.023310 Loss_D_fake -0.000898
[875/5000][195/535][90147] Loss_D: -0.022986 Loss_G: 0.007189 Loss_D_real: -0.008194 Loss_D_fake 0.014792
[875/5000][200/535][90148] Loss_D: -0.022711 Loss_G: -0.007380 Loss_D_real: -0.010167 Loss_D_fake 0.012544
[875/5000][205/535][90149] Loss_D: -0.024170 Loss_G: 0.000060 Loss_D_real: -0.023489 Loss_D_fake 0.000680
[875/5000][210/535][90150] Loss_D: -0.024820 Loss_G: 0.021954 Loss_D_real: -0.023824 Loss_D_fake 0.000996
[875/5000][215/535][90151] Loss_D: -0.024438 Loss_G: 0.022802 Loss_D_real: -0.020191 Loss_D_fake 0.004247
[875/5000][220/535][90152] Loss_D: -0.023715 Loss_G: 0.009708 Loss_D_real: -0.021157 Loss_D_fake 0.002559
[875/5000][225/535][90153] Loss_D: -0.023262 Loss_G: 0.004467 Loss_D_real: -0.009597 Loss_D_fake 0.013665
[875/5000][230/535][90154] Loss_D: -0.023390 Loss_G: -0.000674 Loss_D_real: -0.009948 Loss_D_fake 0.013442
[875/5000][235/535][90155] Loss_D: -0.023521 Loss_G: 0.003092 Loss_D_real: -0.010469 Loss_D_fake 0.013052
[875/5000][240/535][90156] Loss_D: -0.022788 Loss_G: 0.005977 Loss_D_real: -0.013042 Loss_D_fake 0.009746
[875/5000][245/535][90157] Loss_D: -0.023027 Loss_G: 0.022727 Loss_D_real: -0.029897 Loss_D_fake -0.006870
[875/5000][250/535][90158] Loss_D: -0.023821 Loss_G: -0.004900 Loss_D_real: -0.010491 Loss_D_fake 0.013330
[875/5000][255/535][90159] Loss_D: -0.022305 Loss_G: 0.009197 Loss_D_real: -0.021250 Loss_D_fake 0.001055
[875/5000][260/535][90160] Loss_D: -0.022628 Loss_G: 0.024851 Loss_D_real: -0.026216 Loss_D_fake -0.003588
[875/5000][265/535][90161] Loss_D: -0.022756 Loss_G: 0.017098 Loss_D_real: -0.018846 Loss_D_fake 0.003910
[875/5000][270/535][90162] Loss_D: -0.021845 Loss_G: 0.016153 Loss_D_real: -0.025303 Loss_D_fake -0.003458
[875/5000][275/535][90163] Loss_D: -0.022437 Loss_G: 0.004544 Loss_D_real: -0.023716 Loss_D_fake -0.001279
[875/5000][280/535][90164] Loss_D: -0.022123 Loss_G: 0.007559 Loss_D_real: -0.022302 Loss_D_fake -0.000179
[875/5000][285/535][90165] Loss_D: -0.021745 Loss_G: -0.002634 Loss_D_real: -0.010335 Loss_D_fake 0.011410
[875/5000][290/535][90166] Loss_D: -0.022729 Loss_G: 0.019942 Loss_D_real: -0.023457 Loss_D_fake -0.000729
[875/5000][295/535][90167] Loss_D: -0.022277 Loss_G: 0.013180 Loss_D_real: -0.017667 Loss_D_fake 0.004610
[875/5000][300/535][90168] Loss_D: -0.023149 Loss_G: 0.012060 Loss_D_real: -0.023018 Loss_D_fake 0.000131
[875/5000][305/535][90169] Loss_D: -0.020589 Loss_G: 0.026005 Loss_D_real: -0.041842 Loss_D_fake -0.021252
[875/5000][310/535][90170] Loss_D: -0.023614 Loss_G: -0.006379 Loss_D_real: -0.009043 Loss_D_fake 0.014571
[875/5000][315/535][90171] Loss_D: -0.022017 Loss_G: 0.017720 Loss_D_real: -0.034216 Loss_D_fake -0.012198
[875/5000][320/535][90172] Loss_D: -0.022569 Loss_G: -0.012939 Loss_D_real: -0.008120 Loss_D_fake 0.014450
[875/5000][325/535][90173] Loss_D: -0.021869 Loss_G: 0.023104 Loss_D_real: -0.033538 Loss_D_fake -0.011669
[875/5000][330/535][90174] Loss_D: -0.022582 Loss_G: 0.003770 Loss_D_real: -0.013494 Loss_D_fake 0.009088
[875/5000][335/535][90175] Loss_D: -0.023859 Loss_G: 0.014388 Loss_D_real: -0.021621 Loss_D_fake 0.002238
[875/5000][340/535][90176] Loss_D: -0.024409 Loss_G: -0.006253 Loss_D_real: -0.027717 Loss_D_fake -0.003309
[875/5000][345/535][90177] Loss_D: -0.023273 Loss_G: 0.025718 Loss_D_real: -0.033899 Loss_D_fake -0.010626
[875/5000][350/535][90178] Loss_D: -0.022773 Loss_G: 0.006849 Loss_D_real: -0.018792 Loss_D_fake 0.003981
[875/5000][355/535][90179] Loss_D: -0.023461 Loss_G: 0.019209 Loss_D_real: -0.019844 Loss_D_fake 0.003617
[875/5000][360/535][90180] Loss_D: -0.022631 Loss_G: 0.007957 Loss_D_real: -0.021127 Loss_D_fake 0.001504
[875/5000][365/535][90181] Loss_D: -0.022281 Loss_G: 0.021942 Loss_D_real: -0.036383 Loss_D_fake -0.014101
[875/5000][370/535][90182] Loss_D: -0.023268 Loss_G: 0.003923 Loss_D_real: -0.029694 Loss_D_fake -0.006426
[875/5000][375/535][90183] Loss_D: -0.021133 Loss_G: 0.016862 Loss_D_real: -0.020813 Loss_D_fake 0.000320
[875/5000][380/535][90184] Loss_D: -0.021910 Loss_G: -0.005231 Loss_D_real: -0.004929 Loss_D_fake 0.016981
[875/5000][385/535][90185] Loss_D: -0.021462 Loss_G: 0.009512 Loss_D_real: -0.022360 Loss_D_fake -0.000898
[875/5000][390/535][90186] Loss_D: -0.023209 Loss_G: 0.008574 Loss_D_real: -0.014294 Loss_D_fake 0.008915
[875/5000][395/535][90187] Loss_D: -0.023017 Loss_G: 0.002047 Loss_D_real: -0.020161 Loss_D_fake 0.002855
[875/5000][400/535][90188] Loss_D: -0.022470 Loss_G: 0.002815 Loss_D_real: -0.021731 Loss_D_fake 0.000739
[875/5000][405/535][90189] Loss_D: -0.023583 Loss_G: 0.015551 Loss_D_real: -0.021606 Loss_D_fake 0.001978
[875/5000][410/535][90190] Loss_D: -0.022268 Loss_G: 0.012748 Loss_D_real: -0.030374 Loss_D_fake -0.008106
[875/5000][415/535][90191] Loss_D: -0.021769 Loss_G: 0.017108 Loss_D_real: -0.031591 Loss_D_fake -0.009823
[875/5000][420/535][90192] Loss_D: -0.023563 Loss_G: -0.001774 Loss_D_real: -0.019222 Loss_D_fake 0.004341
[875/5000][425/535][90193] Loss_D: -0.022520 Loss_G: 0.001592 Loss_D_real: -0.018139 Loss_D_fake 0.004381
[875/5000][430/535][90194] Loss_D: -0.022417 Loss_G: 0.016877 Loss_D_real: -0.027162 Loss_D_fake -0.004745
[875/5000][435/535][90195] Loss_D: -0.021846 Loss_G: -0.006876 Loss_D_real: -0.003548 Loss_D_fake 0.018298
[875/5000][440/535][90196] Loss_D: -0.022180 Loss_G: -0.002709 Loss_D_real: -0.004236 Loss_D_fake 0.017943
[875/5000][445/535][90197] Loss_D: -0.021442 Loss_G: 0.023406 Loss_D_real: -0.030732 Loss_D_fake -0.009291
[875/5000][450/535][90198] Loss_D: -0.022112 Loss_G: 0.018252 Loss_D_real: -0.024620 Loss_D_fake -0.002508
[875/5000][455/535][90199] Loss_D: -0.021464 Loss_G: 0.015221 Loss_D_real: -0.034278 Loss_D_fake -0.012813
[875/5000][460/535][90200] Loss_D: -0.023510 Loss_G: -0.008162 Loss_D_real: -0.009731 Loss_D_fake 0.013778
[875/5000][465/535][90201] Loss_D: -0.022104 Loss_G: 0.011347 Loss_D_real: -0.032494 Loss_D_fake -0.010390
[875/5000][470/535][90202] Loss_D: -0.021033 Loss_G: -0.007705 Loss_D_real: 0.009114 Loss_D_fake 0.030148
[875/5000][475/535][90203] Loss_D: -0.023738 Loss_G: 0.023568 Loss_D_real: -0.022827 Loss_D_fake 0.000911
[875/5000][480/535][90204] Loss_D: -0.023176 Loss_G: 0.000510 Loss_D_real: -0.007555 Loss_D_fake 0.015621
[875/5000][485/535][90205] Loss_D: -0.022488 Loss_G: -0.009890 Loss_D_real: -0.010237 Loss_D_fake 0.012251
[875/5000][490/535][90206] Loss_D: -0.023894 Loss_G: 0.001686 Loss_D_real: -0.007061 Loss_D_fake 0.016833
[875/5000][495/535][90207] Loss_D: -0.022262 Loss_G: 0.002236 Loss_D_real: -0.019409 Loss_D_fake 0.002853
[875/5000][500/535][90208] Loss_D: -0.023475 Loss_G: 0.011292 Loss_D_real: -0.024697 Loss_D_fake -0.001222
[875/5000][505/535][90209] Loss_D: -0.024004 Loss_G: 0.014925 Loss_D_real: -0.014636 Loss_D_fake 0.009368
[875/5000][510/535][90210] Loss_D: -0.022305 Loss_G: 0.017832 Loss_D_real: -0.019250 Loss_D_fake 0.003055
[875/5000][515/535][90211] Loss_D: -0.021692 Loss_G: -0.013075 Loss_D_real: -0.003028 Loss_D_fake 0.018664
[875/5000][520/535][90212] Loss_D: -0.021793 Loss_G: 0.011397 Loss_D_real: -0.028780 Loss_D_fake -0.006986
[875/5000][525/535][90213] Loss_D: -0.023839 Loss_G: 0.006317 Loss_D_real: -0.011419 Loss_D_fake 0.012420
[875/5000][530/535][90214] Loss_D: -0.023561 Loss_G: 0.003648 Loss_D_real: -0.016598 Loss_D_fake 0.006963
[875/5000][535/535][90215] Loss_D: -0.024171 Loss_G: 0.005113 Loss_D_real: -0.023146 Loss_D_fake 0.001024
[876/5000][5/535][90216] Loss_D: -0.024501 Loss_G: 0.017977 Loss_D_real: -0.024468 Loss_D_fake 0.000033
[876/5000][10/535][90217] Loss_D: -0.023056 Loss_G: 0.006751 Loss_D_real: -0.024201 Loss_D_fake -0.001145
[876/5000][15/535][90218] Loss_D: -0.023041 Loss_G: -0.006213 Loss_D_real: -0.007635 Loss_D_fake 0.015406
[876/5000][20/535][90219] Loss_D: -0.022878 Loss_G: 0.019434 Loss_D_real: -0.027046 Loss_D_fake -0.004168
[876/5000][25/535][90220] Loss_D: -0.022807 Loss_G: -0.005836 Loss_D_real: -0.005802 Loss_D_fake 0.017005
[876/5000][30/535][90221] Loss_D: -0.022648 Loss_G: 0.016493 Loss_D_real: -0.017996 Loss_D_fake 0.004652
[876/5000][35/535][90222] Loss_D: -0.022853 Loss_G: 0.002936 Loss_D_real: -0.015847 Loss_D_fake 0.007006
[876/5000][40/535][90223] Loss_D: -0.022617 Loss_G: 0.007435 Loss_D_real: -0.013748 Loss_D_fake 0.008869
[876/5000][45/535][90224] Loss_D: -0.023772 Loss_G: -0.011874 Loss_D_real: -0.010411 Loss_D_fake 0.013361
[876/5000][50/535][90225] Loss_D: -0.023043 Loss_G: 0.021291 Loss_D_real: -0.025417 Loss_D_fake -0.002374
[876/5000][55/535][90226] Loss_D: -0.023020 Loss_G: 0.000861 Loss_D_real: -0.022352 Loss_D_fake 0.000668
[876/5000][60/535][90227] Loss_D: -0.022272 Loss_G: 0.023880 Loss_D_real: -0.028554 Loss_D_fake -0.006282
[876/5000][65/535][90228] Loss_D: -0.022762 Loss_G: 0.019171 Loss_D_real: -0.020269 Loss_D_fake 0.002493
[876/5000][70/535][90229] Loss_D: -0.022704 Loss_G: -0.001690 Loss_D_real: -0.017692 Loss_D_fake 0.005012
[876/5000][75/535][90230] Loss_D: -0.022055 Loss_G: 0.002261 Loss_D_real: -0.015646 Loss_D_fake 0.006409
[876/5000][80/535][90231] Loss_D: -0.021805 Loss_G: 0.025705 Loss_D_real: -0.030233 Loss_D_fake -0.008429
[876/5000][85/535][90232] Loss_D: -0.022399 Loss_G: -0.002806 Loss_D_real: -0.014279 Loss_D_fake 0.008120
[876/5000][90/535][90233] Loss_D: -0.022960 Loss_G: 0.016964 Loss_D_real: -0.032944 Loss_D_fake -0.009984
[876/5000][95/535][90234] Loss_D: -0.022530 Loss_G: -0.011502 Loss_D_real: -0.010908 Loss_D_fake 0.011622
[876/5000][100/535][90235] Loss_D: -0.022936 Loss_G: -0.002894 Loss_D_real: -0.009691 Loss_D_fake 0.013245
[876/5000][105/535][90236] Loss_D: -0.023310 Loss_G: 0.006893 Loss_D_real: -0.018519 Loss_D_fake 0.004791
[876/5000][110/535][90237] Loss_D: -0.023205 Loss_G: 0.005844 Loss_D_real: -0.016878 Loss_D_fake 0.006328
[876/5000][115/535][90238] Loss_D: -0.022034 Loss_G: 0.004713 Loss_D_real: -0.009677 Loss_D_fake 0.012357
[876/5000][120/535][90239] Loss_D: -0.022195 Loss_G: 0.014439 Loss_D_real: -0.018774 Loss_D_fake 0.003421
[876/5000][125/535][90240] Loss_D: -0.022802 Loss_G: -0.000724 Loss_D_real: -0.010749 Loss_D_fake 0.012053
[876/5000][130/535][90241] Loss_D: -0.023039 Loss_G: 0.020831 Loss_D_real: -0.028017 Loss_D_fake -0.004978
[876/5000][135/535][90242] Loss_D: -0.022899 Loss_G: 0.023087 Loss_D_real: -0.021369 Loss_D_fake 0.001530
[876/5000][140/535][90243] Loss_D: -0.022930 Loss_G: 0.009921 Loss_D_real: -0.025703 Loss_D_fake -0.002772
[876/5000][145/535][90244] Loss_D: -0.022562 Loss_G: 0.012301 Loss_D_real: -0.015045 Loss_D_fake 0.007517
[876/5000][150/535][90245] Loss_D: -0.020728 Loss_G: 0.026637 Loss_D_real: -0.035946 Loss_D_fake -0.015218
[876/5000][155/535][90246] Loss_D: -0.023006 Loss_G: -0.007333 Loss_D_real: -0.017497 Loss_D_fake 0.005509
[876/5000][160/535][90247] Loss_D: -0.023424 Loss_G: 0.008017 Loss_D_real: -0.025392 Loss_D_fake -0.001968
[876/5000][165/535][90248] Loss_D: -0.022782 Loss_G: 0.009722 Loss_D_real: -0.019518 Loss_D_fake 0.003264
[876/5000][170/535][90249] Loss_D: -0.022013 Loss_G: 0.029900 Loss_D_real: -0.039428 Loss_D_fake -0.017415
[876/5000][175/535][90250] Loss_D: -0.022930 Loss_G: 0.004278 Loss_D_real: -0.014592 Loss_D_fake 0.008337
[876/5000][180/535][90251] Loss_D: -0.023563 Loss_G: 0.014124 Loss_D_real: -0.019128 Loss_D_fake 0.004434
[876/5000][185/535][90252] Loss_D: -0.022299 Loss_G: -0.005048 Loss_D_real: -0.017545 Loss_D_fake 0.004754
[876/5000][190/535][90253] Loss_D: -0.023266 Loss_G: 0.011653 Loss_D_real: -0.015391 Loss_D_fake 0.007874
[876/5000][195/535][90254] Loss_D: -0.022950 Loss_G: 0.013281 Loss_D_real: -0.021994 Loss_D_fake 0.000956
[876/5000][200/535][90255] Loss_D: -0.024480 Loss_G: 0.011301 Loss_D_real: -0.027592 Loss_D_fake -0.003112
[876/5000][205/535][90256] Loss_D: -0.022567 Loss_G: 0.023066 Loss_D_real: -0.021009 Loss_D_fake 0.001558
[876/5000][210/535][90257] Loss_D: -0.022785 Loss_G: 0.015399 Loss_D_real: -0.027457 Loss_D_fake -0.004671
[876/5000][215/535][90258] Loss_D: -0.023016 Loss_G: 0.020128 Loss_D_real: -0.025837 Loss_D_fake -0.002821
[876/5000][220/535][90259] Loss_D: -0.022760 Loss_G: -0.014937 Loss_D_real: -0.009686 Loss_D_fake 0.013074
[876/5000][225/535][90260] Loss_D: -0.023472 Loss_G: 0.025540 Loss_D_real: -0.029566 Loss_D_fake -0.006094
[876/5000][230/535][90261] Loss_D: -0.022960 Loss_G: -0.000230 Loss_D_real: -0.022897 Loss_D_fake 0.000062
[876/5000][235/535][90262] Loss_D: -0.023921 Loss_G: 0.020536 Loss_D_real: -0.015172 Loss_D_fake 0.008749
[876/5000][240/535][90263] Loss_D: -0.022940 Loss_G: 0.014501 Loss_D_real: -0.008181 Loss_D_fake 0.014759
[876/5000][245/535][90264] Loss_D: -0.022830 Loss_G: 0.009371 Loss_D_real: -0.005419 Loss_D_fake 0.017411
[876/5000][250/535][90265] Loss_D: -0.022951 Loss_G: 0.020230 Loss_D_real: -0.018089 Loss_D_fake 0.004861
[876/5000][255/535][90266] Loss_D: -0.022680 Loss_G: 0.022869 Loss_D_real: -0.026128 Loss_D_fake -0.003448
[876/5000][260/535][90267] Loss_D: -0.022806 Loss_G: 0.000695 Loss_D_real: -0.017311 Loss_D_fake 0.005495
[876/5000][265/535][90268] Loss_D: -0.022378 Loss_G: 0.007568 Loss_D_real: -0.027431 Loss_D_fake -0.005053
[876/5000][270/535][90269] Loss_D: -0.021372 Loss_G: 0.018354 Loss_D_real: -0.019204 Loss_D_fake 0.002168
[876/5000][275/535][90270] Loss_D: -0.022942 Loss_G: 0.023708 Loss_D_real: -0.038098 Loss_D_fake -0.015157
[876/5000][280/535][90271] Loss_D: -0.022058 Loss_G: 0.008169 Loss_D_real: -0.021435 Loss_D_fake 0.000623
[876/5000][285/535][90272] Loss_D: -0.023935 Loss_G: -0.001585 Loss_D_real: -0.016160 Loss_D_fake 0.007776
[876/5000][290/535][90273] Loss_D: -0.022482 Loss_G: 0.001012 Loss_D_real: -0.002944 Loss_D_fake 0.019538
[876/5000][295/535][90274] Loss_D: -0.022729 Loss_G: -0.005235 Loss_D_real: -0.011643 Loss_D_fake 0.011086
[876/5000][300/535][90275] Loss_D: -0.022366 Loss_G: 0.018727 Loss_D_real: -0.019880 Loss_D_fake 0.002487
[876/5000][305/535][90276] Loss_D: -0.022173 Loss_G: 0.014268 Loss_D_real: -0.019500 Loss_D_fake 0.002673
[876/5000][310/535][90277] Loss_D: -0.023341 Loss_G: 0.003572 Loss_D_real: -0.016662 Loss_D_fake 0.006679
[876/5000][315/535][90278] Loss_D: -0.022978 Loss_G: 0.014803 Loss_D_real: -0.018206 Loss_D_fake 0.004773
[876/5000][320/535][90279] Loss_D: -0.022595 Loss_G: -0.007171 Loss_D_real: -0.019866 Loss_D_fake 0.002729
[876/5000][325/535][90280] Loss_D: -0.020986 Loss_G: 0.014410 Loss_D_real: -0.021237 Loss_D_fake -0.000251
[876/5000][330/535][90281] Loss_D: -0.022439 Loss_G: -0.011283 Loss_D_real: -0.005922 Loss_D_fake 0.016517
[876/5000][335/535][90282] Loss_D: -0.021528 Loss_G: 0.012020 Loss_D_real: -0.028282 Loss_D_fake -0.006754
[876/5000][340/535][90283] Loss_D: -0.022656 Loss_G: 0.020134 Loss_D_real: -0.022513 Loss_D_fake 0.000143
[876/5000][345/535][90284] Loss_D: -0.022465 Loss_G: 0.015823 Loss_D_real: -0.026775 Loss_D_fake -0.004310
[876/5000][350/535][90285] Loss_D: -0.021574 Loss_G: -0.005261 Loss_D_real: -0.010248 Loss_D_fake 0.011326
[876/5000][355/535][90286] Loss_D: -0.021328 Loss_G: -0.002240 Loss_D_real: -0.021387 Loss_D_fake -0.000059
[876/5000][360/535][90287] Loss_D: -0.022762 Loss_G: 0.003648 Loss_D_real: -0.014094 Loss_D_fake 0.008668
[876/5000][365/535][90288] Loss_D: -0.022410 Loss_G: 0.005405 Loss_D_real: -0.028810 Loss_D_fake -0.006399
[876/5000][370/535][90289] Loss_D: -0.023067 Loss_G: -0.007883 Loss_D_real: -0.014459 Loss_D_fake 0.008608
[876/5000][375/535][90290] Loss_D: -0.022362 Loss_G: 0.023731 Loss_D_real: -0.035159 Loss_D_fake -0.012796
[876/5000][380/535][90291] Loss_D: -0.022650 Loss_G: -0.001379 Loss_D_real: -0.002393 Loss_D_fake 0.020257
[876/5000][385/535][90292] Loss_D: -0.022334 Loss_G: 0.007420 Loss_D_real: -0.023384 Loss_D_fake -0.001050
[876/5000][390/535][90293] Loss_D: -0.023232 Loss_G: 0.000063 Loss_D_real: -0.011521 Loss_D_fake 0.011711
[876/5000][395/535][90294] Loss_D: -0.022177 Loss_G: 0.003587 Loss_D_real: -0.018488 Loss_D_fake 0.003689
[876/5000][400/535][90295] Loss_D: -0.022718 Loss_G: -0.004673 Loss_D_real: -0.008364 Loss_D_fake 0.014354
[876/5000][405/535][90296] Loss_D: -0.023143 Loss_G: 0.011167 Loss_D_real: -0.020263 Loss_D_fake 0.002880
[876/5000][410/535][90297] Loss_D: -0.021396 Loss_G: -0.012318 Loss_D_real: 0.000168 Loss_D_fake 0.021564
[876/5000][415/535][90298] Loss_D: -0.021894 Loss_G: 0.017868 Loss_D_real: -0.017289 Loss_D_fake 0.004604
[876/5000][420/535][90299] Loss_D: -0.023127 Loss_G: 0.005577 Loss_D_real: -0.005386 Loss_D_fake 0.017741
[876/5000][425/535][90300] Loss_D: -0.022955 Loss_G: 0.003056 Loss_D_real: -0.012259 Loss_D_fake 0.010696
[876/5000][430/535][90301] Loss_D: -0.023446 Loss_G: -0.002899 Loss_D_real: -0.010316 Loss_D_fake 0.013130
[876/5000][435/535][90302] Loss_D: -0.021744 Loss_G: 0.020005 Loss_D_real: -0.031195 Loss_D_fake -0.009451
[876/5000][440/535][90303] Loss_D: -0.023642 Loss_G: -0.002554 Loss_D_real: -0.002862 Loss_D_fake 0.020780
[876/5000][445/535][90304] Loss_D: -0.022667 Loss_G: 0.020810 Loss_D_real: -0.026560 Loss_D_fake -0.003894
[876/5000][450/535][90305] Loss_D: -0.023819 Loss_G: 0.003758 Loss_D_real: -0.022042 Loss_D_fake 0.001777
[876/5000][455/535][90306] Loss_D: -0.022757 Loss_G: 0.002347 Loss_D_real: -0.013101 Loss_D_fake 0.009656
[876/5000][460/535][90307] Loss_D: -0.023928 Loss_G: 0.001391 Loss_D_real: -0.018806 Loss_D_fake 0.005122
[876/5000][465/535][90308] Loss_D: -0.023424 Loss_G: 0.027001 Loss_D_real: -0.029370 Loss_D_fake -0.005945
[876/5000][470/535][90309] Loss_D: -0.024066 Loss_G: 0.005934 Loss_D_real: -0.019121 Loss_D_fake 0.004945
[876/5000][475/535][90310] Loss_D: -0.022827 Loss_G: 0.014787 Loss_D_real: -0.034048 Loss_D_fake -0.011220
[876/5000][480/535][90311] Loss_D: -0.024532 Loss_G: 0.007867 Loss_D_real: -0.010903 Loss_D_fake 0.013629
[876/5000][485/535][90312] Loss_D: -0.022598 Loss_G: 0.014272 Loss_D_real: -0.018840 Loss_D_fake 0.003758
[876/5000][490/535][90313] Loss_D: -0.021573 Loss_G: 0.000750 Loss_D_real: -0.027643 Loss_D_fake -0.006070
[876/5000][495/535][90314] Loss_D: -0.022670 Loss_G: -0.003906 Loss_D_real: -0.016166 Loss_D_fake 0.006503
[876/5000][500/535][90315] Loss_D: -0.022641 Loss_G: 0.005736 Loss_D_real: -0.015153 Loss_D_fake 0.007488
[876/5000][505/535][90316] Loss_D: -0.022554 Loss_G: 0.030105 Loss_D_real: -0.035526 Loss_D_fake -0.012972
[876/5000][510/535][90317] Loss_D: -0.023009 Loss_G: 0.024355 Loss_D_real: -0.020969 Loss_D_fake 0.002040
[876/5000][515/535][90318] Loss_D: -0.022729 Loss_G: 0.002133 Loss_D_real: -0.016016 Loss_D_fake 0.006713
[876/5000][520/535][90319] Loss_D: -0.022221 Loss_G: 0.025870 Loss_D_real: -0.023077 Loss_D_fake -0.000856
[876/5000][525/535][90320] Loss_D: -0.023982 Loss_G: 0.011441 Loss_D_real: -0.020199 Loss_D_fake 0.003783
[876/5000][530/535][90321] Loss_D: -0.022649 Loss_G: 0.014060 Loss_D_real: -0.025616 Loss_D_fake -0.002967
[876/5000][535/535][90322] Loss_D: -0.020903 Loss_G: 0.014410 Loss_D_real: -0.027102 Loss_D_fake -0.006199
[877/5000][5/535][90323] Loss_D: -0.023446 Loss_G: -0.005529 Loss_D_real: -0.015849 Loss_D_fake 0.007596
[877/5000][10/535][90324] Loss_D: -0.022565 Loss_G: 0.006745 Loss_D_real: -0.018827 Loss_D_fake 0.003738
[877/5000][15/535][90325] Loss_D: -0.022716 Loss_G: 0.004496 Loss_D_real: -0.015230 Loss_D_fake 0.007486
[877/5000][20/535][90326] Loss_D: -0.021185 Loss_G: -0.019691 Loss_D_real: 0.001760 Loss_D_fake 0.022945
[877/5000][25/535][90327] Loss_D: -0.021395 Loss_G: -0.000253 Loss_D_real: -0.015444 Loss_D_fake 0.005951
[877/5000][30/535][90328] Loss_D: -0.023210 Loss_G: 0.024387 Loss_D_real: -0.031933 Loss_D_fake -0.008722
[877/5000][35/535][90329] Loss_D: -0.022785 Loss_G: -0.004269 Loss_D_real: -0.007747 Loss_D_fake 0.015038
[877/5000][40/535][90330] Loss_D: -0.020900 Loss_G: 0.020211 Loss_D_real: -0.032737 Loss_D_fake -0.011837
[877/5000][45/535][90331] Loss_D: -0.022974 Loss_G: 0.017629 Loss_D_real: -0.026782 Loss_D_fake -0.003809
[877/5000][50/535][90332] Loss_D: -0.022745 Loss_G: 0.020611 Loss_D_real: -0.026074 Loss_D_fake -0.003329
[877/5000][55/535][90333] Loss_D: -0.022397 Loss_G: -0.012988 Loss_D_real: -0.009262 Loss_D_fake 0.013134
[877/5000][60/535][90334] Loss_D: -0.021630 Loss_G: 0.009057 Loss_D_real: -0.025074 Loss_D_fake -0.003444
[877/5000][65/535][90335] Loss_D: -0.023165 Loss_G: 0.005149 Loss_D_real: -0.023520 Loss_D_fake -0.000355
[877/5000][70/535][90336] Loss_D: -0.022368 Loss_G: 0.013402 Loss_D_real: -0.030684 Loss_D_fake -0.008316
[877/5000][75/535][90337] Loss_D: -0.022885 Loss_G: -0.006803 Loss_D_real: -0.018969 Loss_D_fake 0.003916
[877/5000][80/535][90338] Loss_D: -0.022319 Loss_G: 0.026681 Loss_D_real: -0.028542 Loss_D_fake -0.006224
[877/5000][85/535][90339] Loss_D: -0.022343 Loss_G: 0.007327 Loss_D_real: -0.011958 Loss_D_fake 0.010385
[877/5000][90/535][90340] Loss_D: -0.022598 Loss_G: 0.018896 Loss_D_real: -0.033010 Loss_D_fake -0.010412
[877/5000][95/535][90341] Loss_D: -0.023426 Loss_G: -0.017258 Loss_D_real: -0.004472 Loss_D_fake 0.018953
[877/5000][100/535][90342] Loss_D: -0.021169 Loss_G: 0.021126 Loss_D_real: -0.026026 Loss_D_fake -0.004858
[877/5000][105/535][90343] Loss_D: -0.022350 Loss_G: -0.009813 Loss_D_real: -0.012337 Loss_D_fake 0.010012
[877/5000][110/535][90344] Loss_D: -0.022548 Loss_G: 0.014336 Loss_D_real: -0.017672 Loss_D_fake 0.004876
[877/5000][115/535][90345] Loss_D: -0.022312 Loss_G: -0.006695 Loss_D_real: -0.009950 Loss_D_fake 0.012362
[877/5000][120/535][90346] Loss_D: -0.022821 Loss_G: 0.011992 Loss_D_real: -0.025865 Loss_D_fake -0.003044
[877/5000][125/535][90347] Loss_D: -0.023177 Loss_G: 0.004700 Loss_D_real: -0.016581 Loss_D_fake 0.006596
[877/5000][130/535][90348] Loss_D: -0.024159 Loss_G: 0.008926 Loss_D_real: -0.008610 Loss_D_fake 0.015548
[877/5000][135/535][90349] Loss_D: -0.024333 Loss_G: 0.003486 Loss_D_real: -0.014973 Loss_D_fake 0.009360
[877/5000][140/535][90350] Loss_D: -0.024392 Loss_G: 0.028769 Loss_D_real: -0.027446 Loss_D_fake -0.003054
[877/5000][145/535][90351] Loss_D: -0.024117 Loss_G: 0.022280 Loss_D_real: -0.029442 Loss_D_fake -0.005325
[877/5000][150/535][90352] Loss_D: -0.024020 Loss_G: 0.007452 Loss_D_real: -0.024618 Loss_D_fake -0.000597
[877/5000][155/535][90353] Loss_D: -0.023780 Loss_G: 0.008647 Loss_D_real: -0.015969 Loss_D_fake 0.007811
[877/5000][160/535][90354] Loss_D: -0.022147 Loss_G: 0.016218 Loss_D_real: -0.024072 Loss_D_fake -0.001925
[877/5000][165/535][90355] Loss_D: -0.022515 Loss_G: 0.006850 Loss_D_real: -0.017690 Loss_D_fake 0.004826
[877/5000][170/535][90356] Loss_D: -0.021709 Loss_G: -0.005245 Loss_D_real: -0.006359 Loss_D_fake 0.015349
[877/5000][175/535][90357] Loss_D: -0.022118 Loss_G: -0.002240 Loss_D_real: -0.016566 Loss_D_fake 0.005551
[877/5000][180/535][90358] Loss_D: -0.021943 Loss_G: 0.027448 Loss_D_real: -0.027334 Loss_D_fake -0.005391
[877/5000][185/535][90359] Loss_D: -0.023401 Loss_G: -0.001425 Loss_D_real: -0.017209 Loss_D_fake 0.006192
[877/5000][190/535][90360] Loss_D: -0.023424 Loss_G: 0.000288 Loss_D_real: -0.014808 Loss_D_fake 0.008616
[877/5000][195/535][90361] Loss_D: -0.024280 Loss_G: 0.013528 Loss_D_real: -0.026747 Loss_D_fake -0.002467
[877/5000][200/535][90362] Loss_D: -0.021680 Loss_G: 0.002138 Loss_D_real: -0.000254 Loss_D_fake 0.021426
[877/5000][205/535][90363] Loss_D: -0.022179 Loss_G: 0.012956 Loss_D_real: -0.021221 Loss_D_fake 0.000959
[877/5000][210/535][90364] Loss_D: -0.022217 Loss_G: -0.004891 Loss_D_real: -0.000097 Loss_D_fake 0.022120
[877/5000][215/535][90365] Loss_D: -0.022031 Loss_G: 0.001848 Loss_D_real: -0.017538 Loss_D_fake 0.004493
[877/5000][220/535][90366] Loss_D: -0.022448 Loss_G: 0.027021 Loss_D_real: -0.021628 Loss_D_fake 0.000821
[877/5000][225/535][90367] Loss_D: -0.022737 Loss_G: -0.017163 Loss_D_real: -0.016874 Loss_D_fake 0.005863
[877/5000][230/535][90368] Loss_D: -0.022334 Loss_G: 0.012338 Loss_D_real: -0.017360 Loss_D_fake 0.004974
[877/5000][235/535][90369] Loss_D: -0.022549 Loss_G: -0.006305 Loss_D_real: 0.001378 Loss_D_fake 0.023927
[877/5000][240/535][90370] Loss_D: -0.020538 Loss_G: 0.022528 Loss_D_real: -0.040698 Loss_D_fake -0.020160
[877/5000][245/535][90371] Loss_D: -0.023122 Loss_G: 0.005041 Loss_D_real: -0.011945 Loss_D_fake 0.011177
[877/5000][250/535][90372] Loss_D: -0.022740 Loss_G: 0.002080 Loss_D_real: -0.029143 Loss_D_fake -0.006403
[877/5000][255/535][90373] Loss_D: -0.022826 Loss_G: 0.004829 Loss_D_real: -0.024650 Loss_D_fake -0.001824
[877/5000][260/535][90374] Loss_D: -0.023224 Loss_G: 0.005730 Loss_D_real: -0.024001 Loss_D_fake -0.000776
[877/5000][265/535][90375] Loss_D: -0.020940 Loss_G: 0.024656 Loss_D_real: -0.027776 Loss_D_fake -0.006836
[877/5000][270/535][90376] Loss_D: -0.022241 Loss_G: 0.005363 Loss_D_real: -0.012924 Loss_D_fake 0.009317
[877/5000][275/535][90377] Loss_D: -0.023237 Loss_G: 0.011089 Loss_D_real: -0.023950 Loss_D_fake -0.000713
[877/5000][280/535][90378] Loss_D: -0.023361 Loss_G: -0.000769 Loss_D_real: -0.012878 Loss_D_fake 0.010483
[877/5000][285/535][90379] Loss_D: -0.023122 Loss_G: 0.020987 Loss_D_real: -0.028429 Loss_D_fake -0.005308
[877/5000][290/535][90380] Loss_D: -0.023461 Loss_G: -0.004623 Loss_D_real: -0.014070 Loss_D_fake 0.009391
[877/5000][295/535][90381] Loss_D: -0.024018 Loss_G: 0.014570 Loss_D_real: -0.023337 Loss_D_fake 0.000681
[877/5000][300/535][90382] Loss_D: -0.024106 Loss_G: 0.002393 Loss_D_real: -0.005995 Loss_D_fake 0.018111
[877/5000][305/535][90383] Loss_D: -0.022743 Loss_G: 0.011093 Loss_D_real: -0.016124 Loss_D_fake 0.006619
[877/5000][310/535][90384] Loss_D: -0.022491 Loss_G: -0.010137 Loss_D_real: -0.005389 Loss_D_fake 0.017102
[877/5000][315/535][90385] Loss_D: -0.022609 Loss_G: -0.008325 Loss_D_real: -0.016826 Loss_D_fake 0.005783
[877/5000][320/535][90386] Loss_D: -0.023772 Loss_G: -0.002428 Loss_D_real: -0.010399 Loss_D_fake 0.013373
[877/5000][325/535][90387] Loss_D: -0.022492 Loss_G: -0.009715 Loss_D_real: -0.015940 Loss_D_fake 0.006552
[877/5000][330/535][90388] Loss_D: -0.021602 Loss_G: 0.015352 Loss_D_real: -0.007896 Loss_D_fake 0.013707
[877/5000][335/535][90389] Loss_D: -0.022235 Loss_G: 0.019081 Loss_D_real: -0.030402 Loss_D_fake -0.008167
[877/5000][340/535][90390] Loss_D: -0.022356 Loss_G: 0.004808 Loss_D_real: -0.018038 Loss_D_fake 0.004319
[877/5000][345/535][90391] Loss_D: -0.023002 Loss_G: 0.017952 Loss_D_real: -0.023218 Loss_D_fake -0.000216
[877/5000][350/535][90392] Loss_D: -0.023710 Loss_G: -0.001160 Loss_D_real: -0.007085 Loss_D_fake 0.016625
[877/5000][355/535][90393] Loss_D: -0.022969 Loss_G: 0.017500 Loss_D_real: -0.022466 Loss_D_fake 0.000503
[877/5000][360/535][90394] Loss_D: -0.021921 Loss_G: -0.009307 Loss_D_real: -0.002384 Loss_D_fake 0.019537
[877/5000][365/535][90395] Loss_D: -0.023721 Loss_G: -0.007910 Loss_D_real: -0.010360 Loss_D_fake 0.013361
[877/5000][370/535][90396] Loss_D: -0.023388 Loss_G: 0.019208 Loss_D_real: -0.024626 Loss_D_fake -0.001239
[877/5000][375/535][90397] Loss_D: -0.021888 Loss_G: 0.027896 Loss_D_real: -0.032885 Loss_D_fake -0.010997
[877/5000][380/535][90398] Loss_D: -0.022737 Loss_G: -0.005929 Loss_D_real: -0.010731 Loss_D_fake 0.012006
[877/5000][385/535][90399] Loss_D: -0.024770 Loss_G: 0.017728 Loss_D_real: -0.016018 Loss_D_fake 0.008752
[877/5000][390/535][90400] Loss_D: -0.022440 Loss_G: -0.017137 Loss_D_real: -0.006754 Loss_D_fake 0.015686
[877/5000][395/535][90401] Loss_D: -0.023201 Loss_G: 0.009005 Loss_D_real: -0.019264 Loss_D_fake 0.003937
[877/5000][400/535][90402] Loss_D: -0.022913 Loss_G: 0.013719 Loss_D_real: -0.028272 Loss_D_fake -0.005359
[877/5000][405/535][90403] Loss_D: -0.023379 Loss_G: 0.006571 Loss_D_real: -0.011253 Loss_D_fake 0.012126
[877/5000][410/535][90404] Loss_D: -0.022251 Loss_G: 0.023143 Loss_D_real: -0.024051 Loss_D_fake -0.001800
[877/5000][415/535][90405] Loss_D: -0.021191 Loss_G: -0.007015 Loss_D_real: -0.010179 Loss_D_fake 0.011012
[877/5000][420/535][90406] Loss_D: -0.022945 Loss_G: 0.025042 Loss_D_real: -0.025132 Loss_D_fake -0.002187
[877/5000][425/535][90407] Loss_D: -0.021439 Loss_G: -0.013835 Loss_D_real: 0.000753 Loss_D_fake 0.022192
[877/5000][430/535][90408] Loss_D: -0.022067 Loss_G: 0.012934 Loss_D_real: -0.029318 Loss_D_fake -0.007251
[877/5000][435/535][90409] Loss_D: -0.022060 Loss_G: 0.020678 Loss_D_real: -0.038451 Loss_D_fake -0.016390
[877/5000][440/535][90410] Loss_D: -0.021828 Loss_G: 0.029944 Loss_D_real: -0.033203 Loss_D_fake -0.011375
[877/5000][445/535][90411] Loss_D: -0.022298 Loss_G: 0.016903 Loss_D_real: -0.028978 Loss_D_fake -0.006679
[877/5000][450/535][90412] Loss_D: -0.023118 Loss_G: 0.002415 Loss_D_real: -0.015288 Loss_D_fake 0.007830
[877/5000][455/535][90413] Loss_D: -0.022896 Loss_G: -0.004774 Loss_D_real: -0.010305 Loss_D_fake 0.012592
[877/5000][460/535][90414] Loss_D: -0.022131 Loss_G: -0.009922 Loss_D_real: -0.015651 Loss_D_fake 0.006480
[877/5000][465/535][90415] Loss_D: -0.023495 Loss_G: 0.006648 Loss_D_real: -0.015502 Loss_D_fake 0.007993
[877/5000][470/535][90416] Loss_D: -0.024139 Loss_G: 0.011593 Loss_D_real: -0.016334 Loss_D_fake 0.007804
[877/5000][475/535][90417] Loss_D: -0.021135 Loss_G: 0.001965 Loss_D_real: -0.017846 Loss_D_fake 0.003288
[877/5000][480/535][90418] Loss_D: -0.023037 Loss_G: 0.001111 Loss_D_real: -0.014112 Loss_D_fake 0.008925
[877/5000][485/535][90419] Loss_D: -0.021518 Loss_G: 0.015654 Loss_D_real: -0.029558 Loss_D_fake -0.008040
[877/5000][490/535][90420] Loss_D: -0.022110 Loss_G: -0.010683 Loss_D_real: -0.007292 Loss_D_fake 0.014818
[877/5000][495/535][90421] Loss_D: -0.020979 Loss_G: 0.009522 Loss_D_real: -0.032736 Loss_D_fake -0.011757
[877/5000][500/535][90422] Loss_D: -0.024355 Loss_G: 0.001463 Loss_D_real: -0.008709 Loss_D_fake 0.015646
[877/5000][505/535][90423] Loss_D: -0.023157 Loss_G: 0.019388 Loss_D_real: -0.021821 Loss_D_fake 0.001337
[877/5000][510/535][90424] Loss_D: -0.023320 Loss_G: 0.017867 Loss_D_real: -0.032921 Loss_D_fake -0.009601
[877/5000][515/535][90425] Loss_D: -0.023048 Loss_G: -0.002618 Loss_D_real: -0.006999 Loss_D_fake 0.016048
[877/5000][520/535][90426] Loss_D: -0.021536 Loss_G: -0.004117 Loss_D_real: -0.016615 Loss_D_fake 0.004921
[877/5000][525/535][90427] Loss_D: -0.022232 Loss_G: 0.015265 Loss_D_real: -0.017109 Loss_D_fake 0.005122
[877/5000][530/535][90428] Loss_D: -0.020421 Loss_G: 0.008062 Loss_D_real: -0.011193 Loss_D_fake 0.009228
[877/5000][535/535][90429] Loss_D: -0.022937 Loss_G: 0.022207 Loss_D_real: -0.023530 Loss_D_fake -0.000593
[878/5000][5/535][90430] Loss_D: -0.023886 Loss_G: -0.005561 Loss_D_real: -0.001682 Loss_D_fake 0.022204
[878/5000][10/535][90431] Loss_D: -0.021447 Loss_G: -0.001323 Loss_D_real: -0.007979 Loss_D_fake 0.013468
[878/5000][15/535][90432] Loss_D: -0.021730 Loss_G: -0.010592 Loss_D_real: -0.010643 Loss_D_fake 0.011087
[878/5000][20/535][90433] Loss_D: -0.023259 Loss_G: 0.002314 Loss_D_real: -0.012900 Loss_D_fake 0.010359
[878/5000][25/535][90434] Loss_D: -0.021803 Loss_G: -0.006581 Loss_D_real: -0.005955 Loss_D_fake 0.015848
[878/5000][30/535][90435] Loss_D: -0.022240 Loss_G: -0.001730 Loss_D_real: -0.021820 Loss_D_fake 0.000420
[878/5000][35/535][90436] Loss_D: -0.021093 Loss_G: -0.008384 Loss_D_real: -0.004592 Loss_D_fake 0.016501
[878/5000][40/535][90437] Loss_D: -0.023455 Loss_G: 0.022529 Loss_D_real: -0.027118 Loss_D_fake -0.003663
[878/5000][45/535][90438] Loss_D: -0.023744 Loss_G: 0.025183 Loss_D_real: -0.021462 Loss_D_fake 0.002282
[878/5000][50/535][90439] Loss_D: -0.021681 Loss_G: 0.023547 Loss_D_real: -0.028766 Loss_D_fake -0.007085
[878/5000][55/535][90440] Loss_D: -0.022188 Loss_G: 0.025249 Loss_D_real: -0.042156 Loss_D_fake -0.019969
[878/5000][60/535][90441] Loss_D: -0.022420 Loss_G: 0.012496 Loss_D_real: -0.033233 Loss_D_fake -0.010812
[878/5000][65/535][90442] Loss_D: -0.021643 Loss_G: 0.001377 Loss_D_real: -0.023351 Loss_D_fake -0.001708
[878/5000][70/535][90443] Loss_D: -0.023737 Loss_G: 0.008984 Loss_D_real: -0.020039 Loss_D_fake 0.003698
[878/5000][75/535][90444] Loss_D: -0.023975 Loss_G: 0.007657 Loss_D_real: -0.014151 Loss_D_fake 0.009824
[878/5000][80/535][90445] Loss_D: -0.023821 Loss_G: 0.019337 Loss_D_real: -0.025803 Loss_D_fake -0.001983
[878/5000][85/535][90446] Loss_D: -0.022683 Loss_G: -0.008634 Loss_D_real: -0.000488 Loss_D_fake 0.022195
[878/5000][90/535][90447] Loss_D: -0.021389 Loss_G: 0.023105 Loss_D_real: -0.038502 Loss_D_fake -0.017113
[878/5000][95/535][90448] Loss_D: -0.022927 Loss_G: 0.008924 Loss_D_real: -0.019061 Loss_D_fake 0.003866
[878/5000][100/535][90449] Loss_D: -0.022306 Loss_G: 0.002479 Loss_D_real: -0.018907 Loss_D_fake 0.003399
[878/5000][105/535][90450] Loss_D: -0.021981 Loss_G: 0.013944 Loss_D_real: -0.021022 Loss_D_fake 0.000959
[878/5000][110/535][90451] Loss_D: -0.023101 Loss_G: 0.015143 Loss_D_real: -0.035096 Loss_D_fake -0.011994
[878/5000][115/535][90452] Loss_D: -0.022692 Loss_G: 0.003830 Loss_D_real: -0.015223 Loss_D_fake 0.007469
[878/5000][120/535][90453] Loss_D: -0.023002 Loss_G: 0.015319 Loss_D_real: -0.031882 Loss_D_fake -0.008880
[878/5000][125/535][90454] Loss_D: -0.022842 Loss_G: 0.021933 Loss_D_real: -0.039196 Loss_D_fake -0.016354
[878/5000][130/535][90455] Loss_D: -0.022904 Loss_G: -0.005028 Loss_D_real: -0.005447 Loss_D_fake 0.017457
[878/5000][135/535][90456] Loss_D: -0.021052 Loss_G: 0.003255 Loss_D_real: -0.009802 Loss_D_fake 0.011250
[878/5000][140/535][90457] Loss_D: -0.023290 Loss_G: 0.004415 Loss_D_real: -0.017401 Loss_D_fake 0.005890
[878/5000][145/535][90458] Loss_D: -0.024013 Loss_G: 0.022752 Loss_D_real: -0.034877 Loss_D_fake -0.010864
[878/5000][150/535][90459] Loss_D: -0.023578 Loss_G: 0.008918 Loss_D_real: -0.019411 Loss_D_fake 0.004166
[878/5000][155/535][90460] Loss_D: -0.024393 Loss_G: 0.024453 Loss_D_real: -0.022717 Loss_D_fake 0.001677
[878/5000][160/535][90461] Loss_D: -0.021530 Loss_G: 0.027571 Loss_D_real: -0.033259 Loss_D_fake -0.011729
[878/5000][165/535][90462] Loss_D: -0.023161 Loss_G: -0.010297 Loss_D_real: -0.003885 Loss_D_fake 0.019276
[878/5000][170/535][90463] Loss_D: -0.021955 Loss_G: 0.010758 Loss_D_real: -0.027657 Loss_D_fake -0.005703
[878/5000][175/535][90464] Loss_D: -0.022229 Loss_G: -0.009670 Loss_D_real: -0.000388 Loss_D_fake 0.021841
[878/5000][180/535][90465] Loss_D: -0.023061 Loss_G: 0.001326 Loss_D_real: -0.013480 Loss_D_fake 0.009581
[878/5000][185/535][90466] Loss_D: -0.023379 Loss_G: 0.017947 Loss_D_real: -0.012828 Loss_D_fake 0.010551
[878/5000][190/535][90467] Loss_D: -0.021663 Loss_G: 0.014447 Loss_D_real: -0.019097 Loss_D_fake 0.002565
[878/5000][195/535][90468] Loss_D: -0.022659 Loss_G: 0.002990 Loss_D_real: -0.017015 Loss_D_fake 0.005644
[878/5000][200/535][90469] Loss_D: -0.022348 Loss_G: 0.016812 Loss_D_real: -0.025452 Loss_D_fake -0.003104
[878/5000][205/535][90470] Loss_D: -0.024196 Loss_G: -0.001618 Loss_D_real: -0.015914 Loss_D_fake 0.008282
[878/5000][210/535][90471] Loss_D: -0.023730 Loss_G: 0.000857 Loss_D_real: -0.010941 Loss_D_fake 0.012789
[878/5000][215/535][90472] Loss_D: -0.022741 Loss_G: -0.002483 Loss_D_real: -0.024802 Loss_D_fake -0.002061
[878/5000][220/535][90473] Loss_D: -0.023995 Loss_G: 0.006457 Loss_D_real: -0.010784 Loss_D_fake 0.013210
[878/5000][225/535][90474] Loss_D: -0.023426 Loss_G: 0.002233 Loss_D_real: -0.006473 Loss_D_fake 0.016953
[878/5000][230/535][90475] Loss_D: -0.023047 Loss_G: -0.006431 Loss_D_real: -0.010970 Loss_D_fake 0.012077
[878/5000][235/535][90476] Loss_D: -0.022300 Loss_G: 0.012337 Loss_D_real: -0.015579 Loss_D_fake 0.006721
[878/5000][240/535][90477] Loss_D: -0.022249 Loss_G: 0.001707 Loss_D_real: -0.017849 Loss_D_fake 0.004400
[878/5000][245/535][90478] Loss_D: -0.023438 Loss_G: -0.002166 Loss_D_real: -0.015677 Loss_D_fake 0.007761
[878/5000][250/535][90479] Loss_D: -0.021323 Loss_G: 0.023472 Loss_D_real: -0.029851 Loss_D_fake -0.008528
[878/5000][255/535][90480] Loss_D: -0.021711 Loss_G: -0.005195 Loss_D_real: -0.017946 Loss_D_fake 0.003765
[878/5000][260/535][90481] Loss_D: -0.018726 Loss_G: 0.030096 Loss_D_real: -0.035607 Loss_D_fake -0.016881
[878/5000][265/535][90482] Loss_D: -0.022588 Loss_G: 0.013496 Loss_D_real: -0.032644 Loss_D_fake -0.010056
[878/5000][270/535][90483] Loss_D: -0.022501 Loss_G: -0.003195 Loss_D_real: -0.007365 Loss_D_fake 0.015136
[878/5000][275/535][90484] Loss_D: -0.021963 Loss_G: 0.014515 Loss_D_real: -0.017490 Loss_D_fake 0.004473
[878/5000][280/535][90485] Loss_D: -0.023036 Loss_G: 0.010453 Loss_D_real: -0.019558 Loss_D_fake 0.003477
[878/5000][285/535][90486] Loss_D: -0.023131 Loss_G: 0.004895 Loss_D_real: -0.024823 Loss_D_fake -0.001692
[878/5000][290/535][90487] Loss_D: -0.023131 Loss_G: 0.013552 Loss_D_real: -0.029773 Loss_D_fake -0.006642
[878/5000][295/535][90488] Loss_D: -0.022749 Loss_G: 0.016388 Loss_D_real: -0.016947 Loss_D_fake 0.005801
[878/5000][300/535][90489] Loss_D: -0.022945 Loss_G: 0.025253 Loss_D_real: -0.025127 Loss_D_fake -0.002181
[878/5000][305/535][90490] Loss_D: -0.023446 Loss_G: 0.003253 Loss_D_real: -0.006886 Loss_D_fake 0.016560
[878/5000][310/535][90491] Loss_D: -0.023496 Loss_G: 0.002466 Loss_D_real: -0.010804 Loss_D_fake 0.012691
[878/5000][315/535][90492] Loss_D: -0.022708 Loss_G: 0.027890 Loss_D_real: -0.029861 Loss_D_fake -0.007153
[878/5000][320/535][90493] Loss_D: -0.024997 Loss_G: -0.002041 Loss_D_real: -0.016294 Loss_D_fake 0.008703
[878/5000][325/535][90494] Loss_D: -0.020749 Loss_G: -0.020234 Loss_D_real: 0.011495 Loss_D_fake 0.032244
[878/5000][330/535][90495] Loss_D: -0.023028 Loss_G: 0.005917 Loss_D_real: -0.023119 Loss_D_fake -0.000091
[878/5000][335/535][90496] Loss_D: -0.022732 Loss_G: 0.010087 Loss_D_real: -0.012570 Loss_D_fake 0.010162
[878/5000][340/535][90497] Loss_D: -0.021677 Loss_G: 0.022424 Loss_D_real: -0.034322 Loss_D_fake -0.012646
[878/5000][345/535][90498] Loss_D: -0.023389 Loss_G: 0.000243 Loss_D_real: -0.013966 Loss_D_fake 0.009423
[878/5000][350/535][90499] Loss_D: -0.022836 Loss_G: 0.006366 Loss_D_real: -0.018704 Loss_D_fake 0.004132
[878/5000][355/535][90500] Loss_D: -0.023783 Loss_G: 0.019919 Loss_D_real: -0.029669 Loss_D_fake -0.005886
[878/5000][455/535][90501] Loss_D: -0.026163 Loss_G: -0.006045 Loss_D_real: -0.006293 Loss_D_fake 0.019870
[878/5000][460/535][90502] Loss_D: -0.023370 Loss_G: 0.007240 Loss_D_real: -0.009553 Loss_D_fake 0.013816
[878/5000][465/535][90503] Loss_D: -0.022060 Loss_G: 0.020997 Loss_D_real: -0.019975 Loss_D_fake 0.002085
[878/5000][470/535][90504] Loss_D: -0.021377 Loss_G: 0.002947 Loss_D_real: -0.022051 Loss_D_fake -0.000674
[878/5000][475/535][90505] Loss_D: -0.021261 Loss_G: 0.002724 Loss_D_real: -0.013309 Loss_D_fake 0.007952
[878/5000][480/535][90506] Loss_D: -0.021284 Loss_G: 0.005492 Loss_D_real: -0.024577 Loss_D_fake -0.003293
[878/5000][485/535][90507] Loss_D: -0.022293 Loss_G: 0.005044 Loss_D_real: -0.023325 Loss_D_fake -0.001032
[878/5000][490/535][90508] Loss_D: -0.021399 Loss_G: 0.012252 Loss_D_real: -0.024777 Loss_D_fake -0.003378
[878/5000][495/535][90509] Loss_D: -0.022323 Loss_G: 0.007134 Loss_D_real: -0.026088 Loss_D_fake -0.003765
[878/5000][500/535][90510] Loss_D: -0.022583 Loss_G: -0.000801 Loss_D_real: -0.003295 Loss_D_fake 0.019288
[878/5000][505/535][90511] Loss_D: -0.022398 Loss_G: 0.016898 Loss_D_real: -0.031525 Loss_D_fake -0.009127
[878/5000][510/535][90512] Loss_D: -0.022340 Loss_G: 0.001552 Loss_D_real: -0.015542 Loss_D_fake 0.006798
[878/5000][515/535][90513] Loss_D: -0.021722 Loss_G: 0.020789 Loss_D_real: -0.033452 Loss_D_fake -0.011730
[878/5000][520/535][90514] Loss_D: -0.023140 Loss_G: 0.018322 Loss_D_real: -0.034820 Loss_D_fake -0.011680
[878/5000][525/535][90515] Loss_D: -0.021875 Loss_G: -0.009532 Loss_D_real: -0.006025 Loss_D_fake 0.015850
[878/5000][530/535][90516] Loss_D: -0.021995 Loss_G: 0.010114 Loss_D_real: -0.021485 Loss_D_fake 0.000509
[878/5000][535/535][90517] Loss_D: -0.023925 Loss_G: 0.039121 Loss_D_real: -0.014902 Loss_D_fake 0.009023
[879/5000][5/535][90518] Loss_D: -0.021794 Loss_G: 0.003464 Loss_D_real: -0.017493 Loss_D_fake 0.004301
[879/5000][10/535][90519] Loss_D: -0.022817 Loss_G: 0.012493 Loss_D_real: -0.027659 Loss_D_fake -0.004842
[879/5000][15/535][90520] Loss_D: -0.021306 Loss_G: 0.002500 Loss_D_real: -0.009679 Loss_D_fake 0.011627
[879/5000][20/535][90521] Loss_D: -0.022394 Loss_G: 0.016132 Loss_D_real: -0.023722 Loss_D_fake -0.001328
[879/5000][25/535][90522] Loss_D: -0.022039 Loss_G: 0.014322 Loss_D_real: -0.024763 Loss_D_fake -0.002724
[879/5000][30/535][90523] Loss_D: -0.022014 Loss_G: 0.019976 Loss_D_real: -0.028009 Loss_D_fake -0.005994
[879/5000][35/535][90524] Loss_D: -0.023918 Loss_G: -0.000505 Loss_D_real: -0.014431 Loss_D_fake 0.009487
[879/5000][40/535][90525] Loss_D: -0.021717 Loss_G: 0.022518 Loss_D_real: -0.025978 Loss_D_fake -0.004261
[879/5000][45/535][90526] Loss_D: -0.022739 Loss_G: -0.009063 Loss_D_real: -0.004629 Loss_D_fake 0.018110
[879/5000][50/535][90527] Loss_D: -0.021313 Loss_G: 0.018132 Loss_D_real: -0.033559 Loss_D_fake -0.012246
[879/5000][55/535][90528] Loss_D: -0.022607 Loss_G: 0.022245 Loss_D_real: -0.018917 Loss_D_fake 0.003690
[879/5000][60/535][90529] Loss_D: -0.023544 Loss_G: -0.004094 Loss_D_real: -0.013192 Loss_D_fake 0.010352
[879/5000][65/535][90530] Loss_D: -0.022375 Loss_G: 0.007923 Loss_D_real: -0.022593 Loss_D_fake -0.000218
[879/5000][70/535][90531] Loss_D: -0.023920 Loss_G: 0.011805 Loss_D_real: -0.024039 Loss_D_fake -0.000119
[879/5000][75/535][90532] Loss_D: -0.023000 Loss_G: 0.001319 Loss_D_real: -0.006747 Loss_D_fake 0.016253
[879/5000][80/535][90533] Loss_D: -0.022884 Loss_G: 0.015713 Loss_D_real: -0.026402 Loss_D_fake -0.003518
[879/5000][85/535][90534] Loss_D: -0.023108 Loss_G: 0.012744 Loss_D_real: -0.020556 Loss_D_fake 0.002552
[879/5000][90/535][90535] Loss_D: -0.023140 Loss_G: -0.000565 Loss_D_real: -0.015913 Loss_D_fake 0.007228
[879/5000][95/535][90536] Loss_D: -0.023214 Loss_G: 0.024475 Loss_D_real: -0.028232 Loss_D_fake -0.005019
[879/5000][100/535][90537] Loss_D: -0.023146 Loss_G: -0.001763 Loss_D_real: -0.010068 Loss_D_fake 0.013078
[879/5000][105/535][90538] Loss_D: -0.021478 Loss_G: 0.006527 Loss_D_real: -0.016153 Loss_D_fake 0.005325
[879/5000][110/535][90539] Loss_D: -0.022089 Loss_G: 0.010196 Loss_D_real: -0.018537 Loss_D_fake 0.003551
[879/5000][115/535][90540] Loss_D: -0.022338 Loss_G: 0.010462 Loss_D_real: -0.015669 Loss_D_fake 0.006669
[879/5000][120/535][90541] Loss_D: -0.022105 Loss_G: -0.002126 Loss_D_real: -0.007409 Loss_D_fake 0.014695
[879/5000][125/535][90542] Loss_D: -0.022289 Loss_G: 0.026977 Loss_D_real: -0.018698 Loss_D_fake 0.003591
[879/5000][130/535][90543] Loss_D: -0.022377 Loss_G: -0.009997 Loss_D_real: -0.018146 Loss_D_fake 0.004231
[879/5000][135/535][90544] Loss_D: -0.022301 Loss_G: 0.024798 Loss_D_real: -0.032262 Loss_D_fake -0.009961
[879/5000][140/535][90545] Loss_D: -0.022161 Loss_G: -0.011038 Loss_D_real: -0.000869 Loss_D_fake 0.021292
[879/5000][145/535][90546] Loss_D: -0.022953 Loss_G: 0.012017 Loss_D_real: -0.024223 Loss_D_fake -0.001270
[879/5000][150/535][90547] Loss_D: -0.022571 Loss_G: 0.007592 Loss_D_real: -0.018690 Loss_D_fake 0.003881
[879/5000][155/535][90548] Loss_D: -0.023248 Loss_G: -0.014197 Loss_D_real: -0.008480 Loss_D_fake 0.014768
[879/5000][160/535][90549] Loss_D: -0.022381 Loss_G: 0.027502 Loss_D_real: -0.027588 Loss_D_fake -0.005207
[879/5000][165/535][90550] Loss_D: -0.023381 Loss_G: -0.008216 Loss_D_real: -0.008547 Loss_D_fake 0.014834
[879/5000][170/535][90551] Loss_D: -0.022160 Loss_G: 0.025968 Loss_D_real: -0.035166 Loss_D_fake -0.013006
[879/5000][175/535][90552] Loss_D: -0.022632 Loss_G: 0.008037 Loss_D_real: -0.018598 Loss_D_fake 0.004035
[879/5000][180/535][90553] Loss_D: -0.023278 Loss_G: -0.003522 Loss_D_real: -0.009649 Loss_D_fake 0.013629
[879/5000][185/535][90554] Loss_D: -0.023022 Loss_G: 0.003339 Loss_D_real: -0.006292 Loss_D_fake 0.016730
[879/5000][190/535][90555] Loss_D: -0.023005 Loss_G: 0.010778 Loss_D_real: -0.016842 Loss_D_fake 0.006163
[879/5000][195/535][90556] Loss_D: -0.022935 Loss_G: 0.007122 Loss_D_real: -0.008788 Loss_D_fake 0.014147
[879/5000][200/535][90557] Loss_D: -0.021750 Loss_G: 0.007319 Loss_D_real: -0.024697 Loss_D_fake -0.002947
[879/5000][205/535][90558] Loss_D: -0.022451 Loss_G: 0.026635 Loss_D_real: -0.019437 Loss_D_fake 0.003015
[879/5000][210/535][90559] Loss_D: -0.022728 Loss_G: 0.003332 Loss_D_real: -0.012664 Loss_D_fake 0.010064
[879/5000][215/535][90560] Loss_D: -0.022627 Loss_G: -0.001833 Loss_D_real: -0.011373 Loss_D_fake 0.011254
[879/5000][220/535][90561] Loss_D: -0.023730 Loss_G: 0.005468 Loss_D_real: -0.020810 Loss_D_fake 0.002921
[879/5000][225/535][90562] Loss_D: -0.022654 Loss_G: 0.019917 Loss_D_real: -0.022583 Loss_D_fake 0.000071
[879/5000][230/535][90563] Loss_D: -0.023184 Loss_G: 0.017404 Loss_D_real: -0.023783 Loss_D_fake -0.000599
[879/5000][235/535][90564] Loss_D: -0.021834 Loss_G: 0.009793 Loss_D_real: -0.019599 Loss_D_fake 0.002235
[879/5000][240/535][90565] Loss_D: -0.022652 Loss_G: 0.020226 Loss_D_real: -0.035590 Loss_D_fake -0.012937
[879/5000][245/535][90566] Loss_D: -0.022958 Loss_G: 0.022549 Loss_D_real: -0.036298 Loss_D_fake -0.013340
[879/5000][250/535][90567] Loss_D: -0.023551 Loss_G: -0.000356 Loss_D_real: -0.008517 Loss_D_fake 0.015034
[879/5000][255/535][90568] Loss_D: -0.023284 Loss_G: 0.011834 Loss_D_real: -0.023812 Loss_D_fake -0.000528
[879/5000][260/535][90569] Loss_D: -0.022952 Loss_G: 0.004369 Loss_D_real: -0.024507 Loss_D_fake -0.001555
[879/5000][265/535][90570] Loss_D: -0.023160 Loss_G: 0.012993 Loss_D_real: -0.026405 Loss_D_fake -0.003246
[879/5000][270/535][90571] Loss_D: -0.021841 Loss_G: 0.009428 Loss_D_real: -0.026088 Loss_D_fake -0.004247
[879/5000][275/535][90572] Loss_D: -0.022666 Loss_G: 0.006871 Loss_D_real: -0.013866 Loss_D_fake 0.008800
[879/5000][280/535][90573] Loss_D: -0.022282 Loss_G: 0.013045 Loss_D_real: -0.021785 Loss_D_fake 0.000497
[879/5000][285/535][90574] Loss_D: -0.024471 Loss_G: 0.015186 Loss_D_real: -0.017657 Loss_D_fake 0.006814
[879/5000][290/535][90575] Loss_D: -0.023029 Loss_G: 0.012157 Loss_D_real: -0.008904 Loss_D_fake 0.014126
[879/5000][295/535][90576] Loss_D: -0.022719 Loss_G: 0.000491 Loss_D_real: -0.007932 Loss_D_fake 0.014787
[879/5000][300/535][90577] Loss_D: -0.021701 Loss_G: 0.023524 Loss_D_real: -0.035357 Loss_D_fake -0.013656
[879/5000][305/535][90578] Loss_D: -0.022658 Loss_G: 0.016420 Loss_D_real: -0.021109 Loss_D_fake 0.001549
[879/5000][310/535][90579] Loss_D: -0.023578 Loss_G: -0.008100 Loss_D_real: -0.020157 Loss_D_fake 0.003421
[879/5000][315/535][90580] Loss_D: -0.022452 Loss_G: 0.011146 Loss_D_real: -0.019962 Loss_D_fake 0.002490
[879/5000][320/535][90581] Loss_D: -0.022885 Loss_G: 0.001657 Loss_D_real: -0.017755 Loss_D_fake 0.005130
[879/5000][325/535][90582] Loss_D: -0.022006 Loss_G: -0.005738 Loss_D_real: -0.007511 Loss_D_fake 0.014495
[879/5000][330/535][90583] Loss_D: -0.021464 Loss_G: 0.011761 Loss_D_real: -0.019803 Loss_D_fake 0.001661
[879/5000][335/535][90584] Loss_D: -0.024157 Loss_G: 0.016644 Loss_D_real: -0.017736 Loss_D_fake 0.006421
[879/5000][340/535][90585] Loss_D: -0.022955 Loss_G: -0.007782 Loss_D_real: -0.006479 Loss_D_fake 0.016476
[879/5000][345/535][90586] Loss_D: -0.021312 Loss_G: 0.031213 Loss_D_real: -0.027088 Loss_D_fake -0.005776
[879/5000][350/535][90587] Loss_D: -0.022952 Loss_G: 0.019002 Loss_D_real: -0.019055 Loss_D_fake 0.003897
[879/5000][355/535][90588] Loss_D: -0.023767 Loss_G: 0.004013 Loss_D_real: -0.020355 Loss_D_fake 0.003412
[879/5000][360/535][90589] Loss_D: -0.024512 Loss_G: 0.008253 Loss_D_real: -0.019768 Loss_D_fake 0.004744
[879/5000][365/535][90590] Loss_D: -0.021021 Loss_G: 0.024948 Loss_D_real: -0.023622 Loss_D_fake -0.002601
[879/5000][370/535][90591] Loss_D: -0.022884 Loss_G: -0.000811 Loss_D_real: -0.015719 Loss_D_fake 0.007165
[879/5000][375/535][90592] Loss_D: -0.019629 Loss_G: 0.031170 Loss_D_real: -0.040350 Loss_D_fake -0.020721
[879/5000][380/535][90593] Loss_D: -0.023699 Loss_G: 0.004247 Loss_D_real: -0.020014 Loss_D_fake 0.003684
[879/5000][385/535][90594] Loss_D: -0.023735 Loss_G: 0.011492 Loss_D_real: -0.019456 Loss_D_fake 0.004280
[879/5000][390/535][90595] Loss_D: -0.022845 Loss_G: 0.015824 Loss_D_real: -0.024276 Loss_D_fake -0.001431
[879/5000][395/535][90596] Loss_D: -0.023899 Loss_G: -0.003465 Loss_D_real: -0.014322 Loss_D_fake 0.009577
[879/5000][400/535][90597] Loss_D: -0.023408 Loss_G: 0.006414 Loss_D_real: -0.015309 Loss_D_fake 0.008099
[879/5000][405/535][90598] Loss_D: -0.023374 Loss_G: 0.004273 Loss_D_real: -0.004391 Loss_D_fake 0.018982
[879/5000][410/535][90599] Loss_D: -0.023050 Loss_G: -0.001200 Loss_D_real: -0.016446 Loss_D_fake 0.006604
[879/5000][415/535][90600] Loss_D: -0.023185 Loss_G: 0.017532 Loss_D_real: -0.022060 Loss_D_fake 0.001125
[879/5000][420/535][90601] Loss_D: -0.023263 Loss_G: 0.013897 Loss_D_real: -0.018846 Loss_D_fake 0.004416
[879/5000][425/535][90602] Loss_D: -0.021891 Loss_G: 0.010556 Loss_D_real: -0.023951 Loss_D_fake -0.002060
[879/5000][430/535][90603] Loss_D: -0.023498 Loss_G: 0.015328 Loss_D_real: -0.018495 Loss_D_fake 0.005002
[879/5000][435/535][90604] Loss_D: -0.024635 Loss_G: 0.000097 Loss_D_real: -0.015224 Loss_D_fake 0.009410
[879/5000][440/535][90605] Loss_D: -0.023817 Loss_G: 0.016982 Loss_D_real: -0.022611 Loss_D_fake 0.001206
[879/5000][445/535][90606] Loss_D: -0.023365 Loss_G: 0.025465 Loss_D_real: -0.021604 Loss_D_fake 0.001761
[879/5000][450/535][90607] Loss_D: -0.023433 Loss_G: -0.010547 Loss_D_real: -0.015602 Loss_D_fake 0.007831
[879/5000][455/535][90608] Loss_D: -0.024043 Loss_G: 0.000645 Loss_D_real: -0.021485 Loss_D_fake 0.002558
[879/5000][460/535][90609] Loss_D: -0.022403 Loss_G: 0.026649 Loss_D_real: -0.025416 Loss_D_fake -0.003013
[879/5000][465/535][90610] Loss_D: -0.023360 Loss_G: -0.004107 Loss_D_real: -0.009318 Loss_D_fake 0.014043
[879/5000][470/535][90611] Loss_D: -0.022930 Loss_G: 0.019699 Loss_D_real: -0.028410 Loss_D_fake -0.005480
[879/5000][475/535][90612] Loss_D: -0.023793 Loss_G: 0.002343 Loss_D_real: -0.015323 Loss_D_fake 0.008469
[879/5000][480/535][90613] Loss_D: -0.020842 Loss_G: 0.016644 Loss_D_real: -0.024863 Loss_D_fake -0.004021
[879/5000][485/535][90614] Loss_D: -0.020807 Loss_G: -0.005426 Loss_D_real: -0.019197 Loss_D_fake 0.001610
[879/5000][490/535][90615] Loss_D: -0.023721 Loss_G: 0.006350 Loss_D_real: -0.014795 Loss_D_fake 0.008926
[879/5000][495/535][90616] Loss_D: -0.023113 Loss_G: 0.003711 Loss_D_real: -0.014883 Loss_D_fake 0.008230
[879/5000][500/535][90617] Loss_D: -0.023621 Loss_G: 0.010278 Loss_D_real: -0.018365 Loss_D_fake 0.005256
[879/5000][505/535][90618] Loss_D: -0.023036 Loss_G: 0.010192 Loss_D_real: -0.016143 Loss_D_fake 0.006893
[879/5000][510/535][90619] Loss_D: -0.022042 Loss_G: 0.019432 Loss_D_real: -0.027276 Loss_D_fake -0.005234
[879/5000][515/535][90620] Loss_D: -0.023502 Loss_G: -0.010288 Loss_D_real: -0.015264 Loss_D_fake 0.008238
[879/5000][520/535][90621] Loss_D: -0.021977 Loss_G: 0.032154 Loss_D_real: -0.033387 Loss_D_fake -0.011410
[879/5000][525/535][90622] Loss_D: -0.022548 Loss_G: -0.002759 Loss_D_real: -0.015843 Loss_D_fake 0.006705
[879/5000][530/535][90623] Loss_D: -0.022369 Loss_G: 0.016425 Loss_D_real: -0.027734 Loss_D_fake -0.005364
[879/5000][535/535][90624] Loss_D: -0.022731 Loss_G: 0.006397 Loss_D_real: -0.036531 Loss_D_fake -0.013800
[880/5000][5/535][90625] Loss_D: -0.023645 Loss_G: -0.002672 Loss_D_real: -0.010773 Loss_D_fake 0.012872
[880/5000][10/535][90626] Loss_D: -0.024983 Loss_G: 0.010090 Loss_D_real: -0.021815 Loss_D_fake 0.003168
[880/5000][15/535][90627] Loss_D: -0.024140 Loss_G: 0.016302 Loss_D_real: -0.029713 Loss_D_fake -0.005574
[880/5000][20/535][90628] Loss_D: -0.021720 Loss_G: 0.025432 Loss_D_real: -0.018546 Loss_D_fake 0.003174
[880/5000][25/535][90629] Loss_D: -0.022914 Loss_G: -0.006865 Loss_D_real: -0.009361 Loss_D_fake 0.013553
[880/5000][30/535][90630] Loss_D: -0.022764 Loss_G: 0.004153 Loss_D_real: -0.018191 Loss_D_fake 0.004572
[880/5000][35/535][90631] Loss_D: -0.023954 Loss_G: 0.002079 Loss_D_real: -0.011928 Loss_D_fake 0.012026
[880/5000][40/535][90632] Loss_D: -0.022478 Loss_G: 0.028097 Loss_D_real: -0.027618 Loss_D_fake -0.005140
[880/5000][45/535][90633] Loss_D: -0.022078 Loss_G: 0.026227 Loss_D_real: -0.021090 Loss_D_fake 0.000988
[880/5000][50/535][90634] Loss_D: -0.024017 Loss_G: 0.004280 Loss_D_real: -0.014750 Loss_D_fake 0.009267
[880/5000][55/535][90635] Loss_D: -0.023210 Loss_G: 0.022636 Loss_D_real: -0.018565 Loss_D_fake 0.004644
[880/5000][60/535][90636] Loss_D: -0.022546 Loss_G: -0.000236 Loss_D_real: -0.016416 Loss_D_fake 0.006130
[880/5000][65/535][90637] Loss_D: -0.022547 Loss_G: -0.011539 Loss_D_real: -0.004206 Loss_D_fake 0.018341
[880/5000][70/535][90638] Loss_D: -0.022498 Loss_G: 0.010498 Loss_D_real: -0.024613 Loss_D_fake -0.002115
[880/5000][75/535][90639] Loss_D: -0.021537 Loss_G: 0.018132 Loss_D_real: -0.028631 Loss_D_fake -0.007094
[880/5000][80/535][90640] Loss_D: -0.022494 Loss_G: -0.002586 Loss_D_real: 0.002009 Loss_D_fake 0.024503
[880/5000][85/535][90641] Loss_D: -0.022299 Loss_G: 0.025972 Loss_D_real: -0.027779 Loss_D_fake -0.005480
[880/5000][90/535][90642] Loss_D: -0.021908 Loss_G: 0.011527 Loss_D_real: -0.009851 Loss_D_fake 0.012057
[880/5000][95/535][90643] Loss_D: -0.022640 Loss_G: 0.020039 Loss_D_real: -0.023238 Loss_D_fake -0.000598
[880/5000][100/535][90644] Loss_D: -0.022318 Loss_G: 0.015429 Loss_D_real: -0.021747 Loss_D_fake 0.000571
[880/5000][105/535][90645] Loss_D: -0.024012 Loss_G: -0.011851 Loss_D_real: -0.015111 Loss_D_fake 0.008901
[880/5000][110/535][90646] Loss_D: -0.023280 Loss_G: 0.003069 Loss_D_real: -0.019768 Loss_D_fake 0.003512
[880/5000][115/535][90647] Loss_D: -0.022485 Loss_G: -0.007355 Loss_D_real: -0.002533 Loss_D_fake 0.019951
[880/5000][120/535][90648] Loss_D: -0.022257 Loss_G: 0.006133 Loss_D_real: -0.014982 Loss_D_fake 0.007276
[880/5000][125/535][90649] Loss_D: -0.024036 Loss_G: 0.011005 Loss_D_real: -0.021317 Loss_D_fake 0.002719
[880/5000][130/535][90650] Loss_D: -0.023136 Loss_G: -0.002174 Loss_D_real: -0.015533 Loss_D_fake 0.007602
[880/5000][135/535][90651] Loss_D: -0.021938 Loss_G: 0.024596 Loss_D_real: -0.038879 Loss_D_fake -0.016940
[880/5000][140/535][90652] Loss_D: -0.021998 Loss_G: 0.002029 Loss_D_real: -0.014842 Loss_D_fake 0.007156
[880/5000][145/535][90653] Loss_D: -0.023647 Loss_G: -0.000916 Loss_D_real: -0.010440 Loss_D_fake 0.013207
[880/5000][150/535][90654] Loss_D: -0.019648 Loss_G: 0.013457 Loss_D_real: -0.022506 Loss_D_fake -0.002858
[880/5000][155/535][90655] Loss_D: -0.022926 Loss_G: 0.006037 Loss_D_real: -0.027522 Loss_D_fake -0.004596
[880/5000][160/535][90656] Loss_D: -0.022242 Loss_G: 0.007370 Loss_D_real: -0.013721 Loss_D_fake 0.008521
[880/5000][165/535][90657] Loss_D: -0.023502 Loss_G: 0.007044 Loss_D_real: -0.028795 Loss_D_fake -0.005293
[880/5000][170/535][90658] Loss_D: -0.021728 Loss_G: 0.012286 Loss_D_real: -0.032713 Loss_D_fake -0.010985
[880/5000][175/535][90659] Loss_D: -0.021917 Loss_G: 0.003448 Loss_D_real: -0.018895 Loss_D_fake 0.003021
[880/5000][180/535][90660] Loss_D: -0.022595 Loss_G: 0.012746 Loss_D_real: -0.023761 Loss_D_fake -0.001165
[880/5000][185/535][90661] Loss_D: -0.022688 Loss_G: 0.003077 Loss_D_real: -0.017952 Loss_D_fake 0.004737
[880/5000][190/535][90662] Loss_D: -0.021178 Loss_G: -0.009515 Loss_D_real: -0.002665 Loss_D_fake 0.018514
[880/5000][195/535][90663] Loss_D: -0.022231 Loss_G: 0.010039 Loss_D_real: -0.024974 Loss_D_fake -0.002743
[880/5000][200/535][90664] Loss_D: -0.022875 Loss_G: 0.030295 Loss_D_real: -0.027439 Loss_D_fake -0.004564
[880/5000][205/535][90665] Loss_D: -0.021838 Loss_G: 0.013370 Loss_D_real: -0.027401 Loss_D_fake -0.005564
[880/5000][210/535][90666] Loss_D: -0.021758 Loss_G: 0.010333 Loss_D_real: -0.017991 Loss_D_fake 0.003767
[880/5000][215/535][90667] Loss_D: -0.022404 Loss_G: 0.022945 Loss_D_real: -0.022442 Loss_D_fake -0.000038
[880/5000][220/535][90668] Loss_D: -0.022525 Loss_G: -0.010652 Loss_D_real: -0.009893 Loss_D_fake 0.012632
[880/5000][225/535][90669] Loss_D: -0.022446 Loss_G: 0.006338 Loss_D_real: -0.015452 Loss_D_fake 0.006994
[880/5000][230/535][90670] Loss_D: -0.021904 Loss_G: -0.013112 Loss_D_real: -0.000027 Loss_D_fake 0.021877
[880/5000][235/535][90671] Loss_D: -0.021330 Loss_G: 0.015730 Loss_D_real: -0.029954 Loss_D_fake -0.008624
[880/5000][240/535][90672] Loss_D: -0.022731 Loss_G: 0.011991 Loss_D_real: -0.021052 Loss_D_fake 0.001679
[880/5000][245/535][90673] Loss_D: -0.024988 Loss_G: 0.019648 Loss_D_real: -0.027657 Loss_D_fake -0.002669
[880/5000][250/535][90674] Loss_D: -0.024161 Loss_G: 0.016708 Loss_D_real: -0.019400 Loss_D_fake 0.004761
[880/5000][255/535][90675] Loss_D: -0.022618 Loss_G: 0.008692 Loss_D_real: -0.023663 Loss_D_fake -0.001044
[880/5000][260/535][90676] Loss_D: -0.021348 Loss_G: -0.004153 Loss_D_real: -0.001268 Loss_D_fake 0.020080
[880/5000][265/535][90677] Loss_D: -0.022402 Loss_G: 0.014526 Loss_D_real: -0.024037 Loss_D_fake -0.001635
[880/5000][270/535][90678] Loss_D: -0.022152 Loss_G: 0.012969 Loss_D_real: -0.031308 Loss_D_fake -0.009155
[880/5000][275/535][90679] Loss_D: -0.022648 Loss_G: 0.011693 Loss_D_real: -0.017878 Loss_D_fake 0.004770
[880/5000][280/535][90680] Loss_D: -0.022975 Loss_G: 0.013833 Loss_D_real: -0.020448 Loss_D_fake 0.002526
[880/5000][285/535][90681] Loss_D: -0.023517 Loss_G: -0.008979 Loss_D_real: -0.002383 Loss_D_fake 0.021134
[880/5000][290/535][90682] Loss_D: -0.021734 Loss_G: 0.025548 Loss_D_real: -0.023853 Loss_D_fake -0.002119
[880/5000][295/535][90683] Loss_D: -0.021942 Loss_G: 0.004892 Loss_D_real: -0.027630 Loss_D_fake -0.005688
[880/5000][300/535][90684] Loss_D: -0.020916 Loss_G: -0.004929 Loss_D_real: -0.004396 Loss_D_fake 0.016520
[880/5000][305/535][90685] Loss_D: -0.022467 Loss_G: 0.021873 Loss_D_real: -0.033176 Loss_D_fake -0.010709
[880/5000][310/535][90686] Loss_D: -0.022546 Loss_G: 0.004650 Loss_D_real: -0.025639 Loss_D_fake -0.003093
[880/5000][315/535][90687] Loss_D: -0.023136 Loss_G: 0.001115 Loss_D_real: -0.012225 Loss_D_fake 0.010911
[880/5000][320/535][90688] Loss_D: -0.023504 Loss_G: 0.004045 Loss_D_real: -0.009355 Loss_D_fake 0.014149
[880/5000][325/535][90689] Loss_D: -0.023872 Loss_G: 0.023809 Loss_D_real: -0.023091 Loss_D_fake 0.000781
[880/5000][330/535][90690] Loss_D: -0.022514 Loss_G: 0.023662 Loss_D_real: -0.028319 Loss_D_fake -0.005805
[880/5000][335/535][90691] Loss_D: -0.022959 Loss_G: -0.004240 Loss_D_real: -0.010115 Loss_D_fake 0.012845
[880/5000][340/535][90692] Loss_D: -0.020611 Loss_G: 0.015493 Loss_D_real: -0.035219 Loss_D_fake -0.014607
[880/5000][345/535][90693] Loss_D: -0.022321 Loss_G: 0.013164 Loss_D_real: -0.031028 Loss_D_fake -0.008707
[880/5000][350/535][90694] Loss_D: -0.021987 Loss_G: 0.011171 Loss_D_real: -0.025194 Loss_D_fake -0.003206
[880/5000][355/535][90695] Loss_D: -0.023097 Loss_G: -0.002253 Loss_D_real: -0.002435 Loss_D_fake 0.020661
[880/5000][360/535][90696] Loss_D: -0.021232 Loss_G: 0.008237 Loss_D_real: -0.028998 Loss_D_fake -0.007766
[880/5000][365/535][90697] Loss_D: -0.023600 Loss_G: -0.003642 Loss_D_real: -0.019272 Loss_D_fake 0.004327
[880/5000][370/535][90698] Loss_D: -0.022395 Loss_G: 0.000689 Loss_D_real: -0.004500 Loss_D_fake 0.017895
[880/5000][375/535][90699] Loss_D: -0.023421 Loss_G: 0.027021 Loss_D_real: -0.026199 Loss_D_fake -0.002778
[880/5000][380/535][90700] Loss_D: -0.022497 Loss_G: -0.008204 Loss_D_real: -0.011569 Loss_D_fake 0.010928
[880/5000][385/535][90701] Loss_D: -0.022209 Loss_G: 0.019019 Loss_D_real: -0.031305 Loss_D_fake -0.009095
[880/5000][390/535][90702] Loss_D: -0.023039 Loss_G: -0.005978 Loss_D_real: -0.012918 Loss_D_fake 0.010122
[880/5000][395/535][90703] Loss_D: -0.022700 Loss_G: 0.028807 Loss_D_real: -0.024580 Loss_D_fake -0.001880
[880/5000][400/535][90704] Loss_D: -0.022204 Loss_G: 0.011107 Loss_D_real: -0.020332 Loss_D_fake 0.001872
[880/5000][405/535][90705] Loss_D: -0.023702 Loss_G: -0.003082 Loss_D_real: -0.023417 Loss_D_fake 0.000285
[880/5000][410/535][90706] Loss_D: -0.022406 Loss_G: 0.019563 Loss_D_real: -0.026011 Loss_D_fake -0.003605
[880/5000][415/535][90707] Loss_D: -0.021630 Loss_G: 0.005504 Loss_D_real: -0.009419 Loss_D_fake 0.012212
[880/5000][420/535][90708] Loss_D: -0.021911 Loss_G: 0.021132 Loss_D_real: -0.038517 Loss_D_fake -0.016606
[880/5000][425/535][90709] Loss_D: -0.023069 Loss_G: 0.018315 Loss_D_real: -0.009218 Loss_D_fake 0.013850
[880/5000][430/535][90710] Loss_D: -0.023019 Loss_G: 0.013121 Loss_D_real: -0.034444 Loss_D_fake -0.011425
[880/5000][435/535][90711] Loss_D: -0.022720 Loss_G: -0.017015 Loss_D_real: -0.005753 Loss_D_fake 0.016967
[880/5000][440/535][90712] Loss_D: -0.022877 Loss_G: 0.021948 Loss_D_real: -0.027146 Loss_D_fake -0.004269
[880/5000][445/535][90713] Loss_D: -0.023309 Loss_G: -0.006251 Loss_D_real: -0.005744 Loss_D_fake 0.017564
[880/5000][450/535][90714] Loss_D: -0.022939 Loss_G: 0.023583 Loss_D_real: -0.032389 Loss_D_fake -0.009450
[880/5000][455/535][90715] Loss_D: -0.022864 Loss_G: 0.006200 Loss_D_real: -0.014184 Loss_D_fake 0.008679
[880/5000][460/535][90716] Loss_D: -0.021449 Loss_G: 0.023668 Loss_D_real: -0.030381 Loss_D_fake -0.008932
[880/5000][465/535][90717] Loss_D: -0.023103 Loss_G: 0.006869 Loss_D_real: -0.013303 Loss_D_fake 0.009799
[880/5000][470/535][90718] Loss_D: -0.022698 Loss_G: 0.008580 Loss_D_real: -0.020697 Loss_D_fake 0.002001
[880/5000][475/535][90719] Loss_D: -0.022602 Loss_G: 0.001456 Loss_D_real: -0.014188 Loss_D_fake 0.008414
[880/5000][480/535][90720] Loss_D: -0.022575 Loss_G: 0.009446 Loss_D_real: -0.012692 Loss_D_fake 0.009883
[880/5000][485/535][90721] Loss_D: -0.023196 Loss_G: 0.023295 Loss_D_real: -0.033735 Loss_D_fake -0.010539
[880/5000][490/535][90722] Loss_D: -0.023137 Loss_G: -0.012393 Loss_D_real: -0.004310 Loss_D_fake 0.018828
[880/5000][495/535][90723] Loss_D: -0.022296 Loss_G: 0.012718 Loss_D_real: -0.021613 Loss_D_fake 0.000683
[880/5000][500/535][90724] Loss_D: -0.022212 Loss_G: 0.024243 Loss_D_real: -0.032075 Loss_D_fake -0.009863
[880/5000][505/535][90725] Loss_D: -0.023930 Loss_G: 0.007111 Loss_D_real: -0.019198 Loss_D_fake 0.004731
[880/5000][510/535][90726] Loss_D: -0.022034 Loss_G: 0.012665 Loss_D_real: -0.026394 Loss_D_fake -0.004359
[880/5000][515/535][90727] Loss_D: -0.023533 Loss_G: 0.012124 Loss_D_real: -0.014485 Loss_D_fake 0.009047
[880/5000][520/535][90728] Loss_D: -0.021668 Loss_G: 0.006826 Loss_D_real: -0.020972 Loss_D_fake 0.000696
[880/5000][525/535][90729] Loss_D: -0.021718 Loss_G: 0.013171 Loss_D_real: -0.017298 Loss_D_fake 0.004420
[880/5000][530/535][90730] Loss_D: -0.022273 Loss_G: 0.022804 Loss_D_real: -0.029957 Loss_D_fake -0.007683
[880/5000][535/535][90731] Loss_D: -0.022872 Loss_G: 0.024809 Loss_D_real: -0.021515 Loss_D_fake 0.001357
[881/5000][5/535][90732] Loss_D: -0.023040 Loss_G: -0.008354 Loss_D_real: -0.005271 Loss_D_fake 0.017769
[881/5000][10/535][90733] Loss_D: -0.024362 Loss_G: 0.004877 Loss_D_real: -0.020601 Loss_D_fake 0.003761
[881/5000][15/535][90734] Loss_D: -0.023169 Loss_G: -0.000360 Loss_D_real: -0.008729 Loss_D_fake 0.014440
[881/5000][20/535][90735] Loss_D: -0.022948 Loss_G: 0.007703 Loss_D_real: -0.020765 Loss_D_fake 0.002183
[881/5000][25/535][90736] Loss_D: -0.025030 Loss_G: 0.013399 Loss_D_real: -0.033099 Loss_D_fake -0.008068
[881/5000][30/535][90737] Loss_D: -0.023561 Loss_G: -0.004185 Loss_D_real: -0.004474 Loss_D_fake 0.019087
[881/5000][35/535][90738] Loss_D: -0.023677 Loss_G: -0.006550 Loss_D_real: -0.014185 Loss_D_fake 0.009492
[881/5000][40/535][90739] Loss_D: -0.022173 Loss_G: 0.013290 Loss_D_real: -0.012922 Loss_D_fake 0.009251
[881/5000][45/535][90740] Loss_D: -0.022035 Loss_G: 0.028595 Loss_D_real: -0.031531 Loss_D_fake -0.009496
[881/5000][50/535][90741] Loss_D: -0.022733 Loss_G: 0.005562 Loss_D_real: -0.022667 Loss_D_fake 0.000065
[881/5000][55/535][90742] Loss_D: -0.022335 Loss_G: -0.015976 Loss_D_real: -0.004145 Loss_D_fake 0.018189
[881/5000][60/535][90743] Loss_D: -0.021709 Loss_G: 0.022618 Loss_D_real: -0.031196 Loss_D_fake -0.009487
[881/5000][65/535][90744] Loss_D: -0.022627 Loss_G: 0.017659 Loss_D_real: -0.023926 Loss_D_fake -0.001299
[881/5000][70/535][90745] Loss_D: -0.022664 Loss_G: 0.011801 Loss_D_real: -0.013702 Loss_D_fake 0.008962
[881/5000][75/535][90746] Loss_D: -0.023273 Loss_G: 0.004728 Loss_D_real: -0.009235 Loss_D_fake 0.014038
[881/5000][80/535][90747] Loss_D: -0.023156 Loss_G: 0.004053 Loss_D_real: -0.013472 Loss_D_fake 0.009684
[881/5000][85/535][90748] Loss_D: -0.023856 Loss_G: 0.025742 Loss_D_real: -0.021172 Loss_D_fake 0.002684
[881/5000][90/535][90749] Loss_D: -0.022687 Loss_G: -0.011395 Loss_D_real: -0.004805 Loss_D_fake 0.017882
[881/5000][95/535][90750] Loss_D: -0.023724 Loss_G: 0.016185 Loss_D_real: -0.027275 Loss_D_fake -0.003551
[881/5000][100/535][90751] Loss_D: -0.023984 Loss_G: 0.010409 Loss_D_real: -0.022038 Loss_D_fake 0.001946
[881/5000][105/535][90752] Loss_D: -0.024017 Loss_G: -0.001650 Loss_D_real: -0.008549 Loss_D_fake 0.015468
[881/5000][110/535][90753] Loss_D: -0.022442 Loss_G: 0.018939 Loss_D_real: -0.023187 Loss_D_fake -0.000744
[881/5000][115/535][90754] Loss_D: -0.022293 Loss_G: -0.008109 Loss_D_real: -0.008612 Loss_D_fake 0.013681
[881/5000][120/535][90755] Loss_D: -0.023122 Loss_G: 0.019213 Loss_D_real: -0.028149 Loss_D_fake -0.005027
[881/5000][125/535][90756] Loss_D: -0.021825 Loss_G: 0.015536 Loss_D_real: -0.021310 Loss_D_fake 0.000515
[881/5000][130/535][90757] Loss_D: -0.022803 Loss_G: -0.003039 Loss_D_real: -0.017955 Loss_D_fake 0.004848
[881/5000][135/535][90758] Loss_D: -0.023199 Loss_G: 0.019909 Loss_D_real: -0.020906 Loss_D_fake 0.002292
[881/5000][140/535][90759] Loss_D: -0.021573 Loss_G: -0.011199 Loss_D_real: -0.007345 Loss_D_fake 0.014228
[881/5000][145/535][90760] Loss_D: -0.023383 Loss_G: 0.024612 Loss_D_real: -0.032350 Loss_D_fake -0.008968
[881/5000][150/535][90761] Loss_D: -0.021879 Loss_G: 0.007265 Loss_D_real: -0.015980 Loss_D_fake 0.005899
[881/5000][155/535][90762] Loss_D: -0.023079 Loss_G: 0.011410 Loss_D_real: -0.020687 Loss_D_fake 0.002392
[881/5000][160/535][90763] Loss_D: -0.022068 Loss_G: 0.025268 Loss_D_real: -0.024118 Loss_D_fake -0.002051
[881/5000][165/535][90764] Loss_D: -0.022198 Loss_G: 0.004509 Loss_D_real: -0.020525 Loss_D_fake 0.001673
[881/5000][170/535][90765] Loss_D: -0.023915 Loss_G: -0.002629 Loss_D_real: -0.000689 Loss_D_fake 0.023226
[881/5000][175/535][90766] Loss_D: -0.022262 Loss_G: -0.000972 Loss_D_real: -0.011057 Loss_D_fake 0.011205
[881/5000][180/535][90767] Loss_D: -0.023376 Loss_G: 0.014730 Loss_D_real: -0.028274 Loss_D_fake -0.004898
[881/5000][185/535][90768] Loss_D: -0.022554 Loss_G: -0.001753 Loss_D_real: -0.011613 Loss_D_fake 0.010941
[881/5000][190/535][90769] Loss_D: -0.022087 Loss_G: 0.014958 Loss_D_real: -0.021923 Loss_D_fake 0.000164
[881/5000][195/535][90770] Loss_D: -0.023641 Loss_G: 0.014449 Loss_D_real: -0.012698 Loss_D_fake 0.010943
[881/5000][200/535][90771] Loss_D: -0.023680 Loss_G: 0.004056 Loss_D_real: -0.017734 Loss_D_fake 0.005946
[881/5000][205/535][90772] Loss_D: -0.022069 Loss_G: 0.021329 Loss_D_real: -0.025521 Loss_D_fake -0.003452
[881/5000][210/535][90773] Loss_D: -0.021849 Loss_G: -0.009618 Loss_D_real: -0.014142 Loss_D_fake 0.007707
[881/5000][215/535][90774] Loss_D: -0.021513 Loss_G: 0.019649 Loss_D_real: -0.029880 Loss_D_fake -0.008367
[881/5000][220/535][90775] Loss_D: -0.022409 Loss_G: 0.015615 Loss_D_real: -0.022483 Loss_D_fake -0.000074
[881/5000][225/535][90776] Loss_D: -0.023281 Loss_G: 0.009239 Loss_D_real: -0.018173 Loss_D_fake 0.005108
[881/5000][230/535][90777] Loss_D: -0.022926 Loss_G: 0.032671 Loss_D_real: -0.030318 Loss_D_fake -0.007391
[881/5000][235/535][90778] Loss_D: -0.022794 Loss_G: -0.008651 Loss_D_real: -0.008400 Loss_D_fake 0.014393
[881/5000][240/535][90779] Loss_D: -0.023649 Loss_G: 0.017543 Loss_D_real: -0.024084 Loss_D_fake -0.000435
[881/5000][245/535][90780] Loss_D: -0.023276 Loss_G: -0.000407 Loss_D_real: -0.011372 Loss_D_fake 0.011903
[881/5000][250/535][90781] Loss_D: -0.022809 Loss_G: 0.008128 Loss_D_real: -0.021376 Loss_D_fake 0.001433
[881/5000][255/535][90782] Loss_D: -0.023922 Loss_G: 0.007019 Loss_D_real: -0.030199 Loss_D_fake -0.006277
[881/5000][260/535][90783] Loss_D: -0.022973 Loss_G: 0.022004 Loss_D_real: -0.013818 Loss_D_fake 0.009155
[881/5000][265/535][90784] Loss_D: -0.021826 Loss_G: 0.025355 Loss_D_real: -0.026408 Loss_D_fake -0.004582
[881/5000][270/535][90785] Loss_D: -0.023794 Loss_G: 0.015123 Loss_D_real: -0.016357 Loss_D_fake 0.007438
[881/5000][275/535][90786] Loss_D: -0.021615 Loss_G: 0.019443 Loss_D_real: -0.028827 Loss_D_fake -0.007212
[881/5000][280/535][90787] Loss_D: -0.023406 Loss_G: 0.001101 Loss_D_real: -0.009422 Loss_D_fake 0.013983
[881/5000][285/535][90788] Loss_D: -0.022478 Loss_G: 0.011391 Loss_D_real: -0.016512 Loss_D_fake 0.005966
[881/5000][290/535][90789] Loss_D: -0.022998 Loss_G: -0.012866 Loss_D_real: -0.001735 Loss_D_fake 0.021263
[881/5000][295/535][90790] Loss_D: -0.022726 Loss_G: -0.012353 Loss_D_real: -0.011832 Loss_D_fake 0.010894
[881/5000][300/535][90791] Loss_D: -0.023227 Loss_G: 0.008311 Loss_D_real: -0.013904 Loss_D_fake 0.009323
[881/5000][305/535][90792] Loss_D: -0.023085 Loss_G: 0.009354 Loss_D_real: -0.017646 Loss_D_fake 0.005439
[881/5000][310/535][90793] Loss_D: -0.022442 Loss_G: -0.002317 Loss_D_real: -0.011553 Loss_D_fake 0.010889
[881/5000][315/535][90794] Loss_D: -0.021574 Loss_G: 0.028732 Loss_D_real: -0.037117 Loss_D_fake -0.015542
[881/5000][320/535][90795] Loss_D: -0.021189 Loss_G: -0.009110 Loss_D_real: -0.010316 Loss_D_fake 0.010873
[881/5000][325/535][90796] Loss_D: -0.024055 Loss_G: 0.008341 Loss_D_real: -0.012661 Loss_D_fake 0.011394
[881/5000][330/535][90797] Loss_D: -0.022038 Loss_G: -0.009171 Loss_D_real: -0.006189 Loss_D_fake 0.015849
[881/5000][335/535][90798] Loss_D: -0.022640 Loss_G: 0.017258 Loss_D_real: -0.019355 Loss_D_fake 0.003285
[881/5000][340/535][90799] Loss_D: -0.022126 Loss_G: -0.002414 Loss_D_real: -0.020697 Loss_D_fake 0.001429
[881/5000][345/535][90800] Loss_D: -0.022761 Loss_G: 0.010155 Loss_D_real: -0.021514 Loss_D_fake 0.001247
[881/5000][350/535][90801] Loss_D: -0.022965 Loss_G: 0.018719 Loss_D_real: -0.026478 Loss_D_fake -0.003513
[881/5000][355/535][90802] Loss_D: -0.024706 Loss_G: 0.000598 Loss_D_real: -0.017167 Loss_D_fake 0.007539
[881/5000][360/535][90803] Loss_D: -0.023492 Loss_G: -0.014054 Loss_D_real: -0.007112 Loss_D_fake 0.016380
[881/5000][365/535][90804] Loss_D: -0.022723 Loss_G: 0.007562 Loss_D_real: -0.023003 Loss_D_fake -0.000280
[881/5000][370/535][90805] Loss_D: -0.023259 Loss_G: 0.021957 Loss_D_real: -0.036890 Loss_D_fake -0.013631
[881/5000][375/535][90806] Loss_D: -0.023173 Loss_G: 0.007083 Loss_D_real: -0.020612 Loss_D_fake 0.002560
[881/5000][380/535][90807] Loss_D: -0.022990 Loss_G: -0.004812 Loss_D_real: -0.017456 Loss_D_fake 0.005534
[881/5000][385/535][90808] Loss_D: -0.023065 Loss_G: 0.023438 Loss_D_real: -0.025439 Loss_D_fake -0.002374
[881/5000][390/535][90809] Loss_D: -0.024754 Loss_G: 0.008684 Loss_D_real: -0.024836 Loss_D_fake -0.000082
[881/5000][395/535][90810] Loss_D: -0.023805 Loss_G: 0.001731 Loss_D_real: -0.018057 Loss_D_fake 0.005748
[881/5000][400/535][90811] Loss_D: -0.024534 Loss_G: 0.020268 Loss_D_real: -0.030333 Loss_D_fake -0.005799
[881/5000][405/535][90812] Loss_D: -0.023169 Loss_G: -0.001212 Loss_D_real: -0.011775 Loss_D_fake 0.011394
[881/5000][410/535][90813] Loss_D: -0.023187 Loss_G: 0.009097 Loss_D_real: -0.024274 Loss_D_fake -0.001087
[881/5000][415/535][90814] Loss_D: -0.023158 Loss_G: 0.014797 Loss_D_real: -0.025557 Loss_D_fake -0.002400
[881/5000][420/535][90815] Loss_D: -0.023493 Loss_G: 0.010632 Loss_D_real: -0.020032 Loss_D_fake 0.003461
[881/5000][425/535][90816] Loss_D: -0.023879 Loss_G: 0.005383 Loss_D_real: -0.011508 Loss_D_fake 0.012371
[881/5000][430/535][90817] Loss_D: -0.021779 Loss_G: -0.004713 Loss_D_real: -0.000960 Loss_D_fake 0.020819
[881/5000][435/535][90818] Loss_D: -0.022220 Loss_G: 0.005846 Loss_D_real: -0.026657 Loss_D_fake -0.004437
[881/5000][440/535][90819] Loss_D: -0.023711 Loss_G: 0.010178 Loss_D_real: -0.030128 Loss_D_fake -0.006417
[881/5000][445/535][90820] Loss_D: -0.022097 Loss_G: 0.012018 Loss_D_real: -0.032516 Loss_D_fake -0.010419
[881/5000][450/535][90821] Loss_D: -0.022635 Loss_G: -0.001629 Loss_D_real: -0.013568 Loss_D_fake 0.009068
[881/5000][455/535][90822] Loss_D: -0.022545 Loss_G: 0.014328 Loss_D_real: -0.023665 Loss_D_fake -0.001121
[881/5000][460/535][90823] Loss_D: -0.022416 Loss_G: 0.006858 Loss_D_real: -0.013299 Loss_D_fake 0.009117
[881/5000][465/535][90824] Loss_D: -0.022289 Loss_G: 0.011234 Loss_D_real: -0.018221 Loss_D_fake 0.004068
[881/5000][470/535][90825] Loss_D: -0.022500 Loss_G: 0.014338 Loss_D_real: -0.024254 Loss_D_fake -0.001754
[881/5000][475/535][90826] Loss_D: -0.021859 Loss_G: -0.017276 Loss_D_real: -0.003672 Loss_D_fake 0.018187
[881/5000][480/535][90827] Loss_D: -0.020911 Loss_G: 0.005400 Loss_D_real: -0.017325 Loss_D_fake 0.003587
[881/5000][485/535][90828] Loss_D: -0.023662 Loss_G: -0.004283 Loss_D_real: -0.013198 Loss_D_fake 0.010464
[881/5000][490/535][90829] Loss_D: -0.021582 Loss_G: 0.019488 Loss_D_real: -0.032620 Loss_D_fake -0.011038
[881/5000][495/535][90830] Loss_D: -0.023067 Loss_G: 0.017059 Loss_D_real: -0.021921 Loss_D_fake 0.001146
[881/5000][500/535][90831] Loss_D: -0.022218 Loss_G: 0.005918 Loss_D_real: -0.025831 Loss_D_fake -0.003614
[881/5000][505/535][90832] Loss_D: -0.023665 Loss_G: 0.011803 Loss_D_real: -0.022557 Loss_D_fake 0.001108
[881/5000][510/535][90833] Loss_D: -0.024158 Loss_G: -0.006615 Loss_D_real: -0.017949 Loss_D_fake 0.006209
[881/5000][515/535][90834] Loss_D: -0.022410 Loss_G: 0.010517 Loss_D_real: -0.022351 Loss_D_fake 0.000058
[881/5000][520/535][90835] Loss_D: -0.021826 Loss_G: 0.020589 Loss_D_real: -0.031823 Loss_D_fake -0.009997
[881/5000][525/535][90836] Loss_D: -0.022728 Loss_G: 0.018123 Loss_D_real: -0.030297 Loss_D_fake -0.007569
[881/5000][530/535][90837] Loss_D: -0.022767 Loss_G: 0.014841 Loss_D_real: -0.012311 Loss_D_fake 0.010457
[881/5000][535/535][90838] Loss_D: -0.022792 Loss_G: 0.011028 Loss_D_real: -0.017441 Loss_D_fake 0.005351
[882/5000][5/535][90839] Loss_D: -0.023265 Loss_G: 0.011668 Loss_D_real: -0.026235 Loss_D_fake -0.002970
[882/5000][10/535][90840] Loss_D: -0.023124 Loss_G: 0.004585 Loss_D_real: -0.011135 Loss_D_fake 0.011989
[882/5000][15/535][90841] Loss_D: -0.022757 Loss_G: 0.010903 Loss_D_real: -0.025039 Loss_D_fake -0.002282
[882/5000][20/535][90842] Loss_D: -0.023370 Loss_G: 0.014932 Loss_D_real: -0.033732 Loss_D_fake -0.010363
[882/5000][25/535][90843] Loss_D: -0.024663 Loss_G: 0.001311 Loss_D_real: -0.008022 Loss_D_fake 0.016641
[882/5000][30/535][90844] Loss_D: -0.022534 Loss_G: -0.009325 Loss_D_real: -0.010088 Loss_D_fake 0.012447
[882/5000][35/535][90845] Loss_D: -0.022695 Loss_G: -0.000688 Loss_D_real: -0.008016 Loss_D_fake 0.014680
[882/5000][40/535][90846] Loss_D: -0.022147 Loss_G: -0.003450 Loss_D_real: -0.002245 Loss_D_fake 0.019901
[882/5000][45/535][90847] Loss_D: -0.022231 Loss_G: -0.001259 Loss_D_real: -0.010739 Loss_D_fake 0.011492
[882/5000][50/535][90848] Loss_D: -0.022545 Loss_G: 0.006777 Loss_D_real: -0.012308 Loss_D_fake 0.010237
[882/5000][55/535][90849] Loss_D: -0.023598 Loss_G: 0.004242 Loss_D_real: -0.004217 Loss_D_fake 0.019381
[882/5000][60/535][90850] Loss_D: -0.022853 Loss_G: 0.018961 Loss_D_real: -0.030695 Loss_D_fake -0.007842
[882/5000][65/535][90851] Loss_D: -0.022200 Loss_G: 0.010976 Loss_D_real: -0.016846 Loss_D_fake 0.005354
[882/5000][70/535][90852] Loss_D: -0.022729 Loss_G: 0.014613 Loss_D_real: -0.029892 Loss_D_fake -0.007164
[882/5000][75/535][90853] Loss_D: -0.023490 Loss_G: 0.018555 Loss_D_real: -0.028831 Loss_D_fake -0.005341
[882/5000][80/535][90854] Loss_D: -0.023716 Loss_G: -0.004732 Loss_D_real: -0.010834 Loss_D_fake 0.012882
[882/5000][85/535][90855] Loss_D: -0.020915 Loss_G: 0.028502 Loss_D_real: -0.027602 Loss_D_fake -0.006687
[882/5000][90/535][90856] Loss_D: -0.021742 Loss_G: -0.004378 Loss_D_real: -0.008663 Loss_D_fake 0.013078
[882/5000][95/535][90857] Loss_D: -0.021321 Loss_G: 0.008413 Loss_D_real: -0.022237 Loss_D_fake -0.000917
[882/5000][100/535][90858] Loss_D: -0.023819 Loss_G: 0.015056 Loss_D_real: -0.009617 Loss_D_fake 0.014202
[882/5000][105/535][90859] Loss_D: -0.021381 Loss_G: 0.018947 Loss_D_real: -0.026565 Loss_D_fake -0.005184
[882/5000][110/535][90860] Loss_D: -0.020755 Loss_G: 0.031193 Loss_D_real: -0.034151 Loss_D_fake -0.013396
[882/5000][115/535][90861] Loss_D: -0.022475 Loss_G: 0.004119 Loss_D_real: -0.023160 Loss_D_fake -0.000685
[882/5000][120/535][90862] Loss_D: -0.022151 Loss_G: 0.001922 Loss_D_real: -0.015112 Loss_D_fake 0.007039
[882/5000][125/535][90863] Loss_D: -0.022944 Loss_G: 0.000829 Loss_D_real: -0.017935 Loss_D_fake 0.005009
[882/5000][130/535][90864] Loss_D: -0.021073 Loss_G: 0.028953 Loss_D_real: -0.030158 Loss_D_fake -0.009085
[882/5000][135/535][90865] Loss_D: -0.023673 Loss_G: 0.012338 Loss_D_real: -0.020825 Loss_D_fake 0.002848
[882/5000][140/535][90866] Loss_D: -0.023106 Loss_G: 0.007127 Loss_D_real: -0.023987 Loss_D_fake -0.000881
[882/5000][145/535][90867] Loss_D: -0.022601 Loss_G: 0.028656 Loss_D_real: -0.028576 Loss_D_fake -0.005976
[882/5000][150/535][90868] Loss_D: -0.023290 Loss_G: -0.004548 Loss_D_real: -0.008834 Loss_D_fake 0.014457
[882/5000][155/535][90869] Loss_D: -0.023325 Loss_G: 0.013517 Loss_D_real: -0.017426 Loss_D_fake 0.005899
[882/5000][160/535][90870] Loss_D: -0.023151 Loss_G: 0.007321 Loss_D_real: -0.023863 Loss_D_fake -0.000712
[882/5000][165/535][90871] Loss_D: -0.023012 Loss_G: -0.008600 Loss_D_real: -0.004150 Loss_D_fake 0.018862
[882/5000][170/535][90872] Loss_D: -0.021542 Loss_G: 0.023606 Loss_D_real: -0.029960 Loss_D_fake -0.008418
[882/5000][175/535][90873] Loss_D: -0.022288 Loss_G: 0.017712 Loss_D_real: -0.013722 Loss_D_fake 0.008566
[882/5000][180/535][90874] Loss_D: -0.023571 Loss_G: 0.010901 Loss_D_real: -0.019747 Loss_D_fake 0.003824
[882/5000][185/535][90875] Loss_D: -0.021663 Loss_G: 0.022690 Loss_D_real: -0.024577 Loss_D_fake -0.002914
[882/5000][190/535][90876] Loss_D: -0.023202 Loss_G: 0.009381 Loss_D_real: -0.020424 Loss_D_fake 0.002778
[882/5000][195/535][90877] Loss_D: -0.022942 Loss_G: 0.004352 Loss_D_real: -0.008244 Loss_D_fake 0.014699
[882/5000][200/535][90878] Loss_D: -0.020359 Loss_G: 0.033134 Loss_D_real: -0.038670 Loss_D_fake -0.018311
[882/5000][205/535][90879] Loss_D: -0.021482 Loss_G: 0.005965 Loss_D_real: -0.015981 Loss_D_fake 0.005501
[882/5000][210/535][90880] Loss_D: -0.021051 Loss_G: 0.011010 Loss_D_real: -0.025067 Loss_D_fake -0.004016
[882/5000][215/535][90881] Loss_D: -0.023151 Loss_G: 0.008912 Loss_D_real: -0.012700 Loss_D_fake 0.010451
[882/5000][220/535][90882] Loss_D: -0.023279 Loss_G: 0.011199 Loss_D_real: -0.033165 Loss_D_fake -0.009886
[882/5000][225/535][90883] Loss_D: -0.022358 Loss_G: 0.001120 Loss_D_real: -0.016798 Loss_D_fake 0.005561
[882/5000][230/535][90884] Loss_D: -0.022695 Loss_G: 0.013605 Loss_D_real: -0.021250 Loss_D_fake 0.001446
[882/5000][235/535][90885] Loss_D: -0.022627 Loss_G: -0.011768 Loss_D_real: -0.004817 Loss_D_fake 0.017811
[882/5000][240/535][90886] Loss_D: -0.022385 Loss_G: 0.008737 Loss_D_real: -0.024052 Loss_D_fake -0.001668
[882/5000][245/535][90887] Loss_D: -0.022340 Loss_G: -0.004667 Loss_D_real: -0.006604 Loss_D_fake 0.015737
[882/5000][250/535][90888] Loss_D: -0.022350 Loss_G: -0.007108 Loss_D_real: -0.006115 Loss_D_fake 0.016236
[882/5000][255/535][90889] Loss_D: -0.021668 Loss_G: 0.003573 Loss_D_real: -0.012313 Loss_D_fake 0.009355
[882/5000][260/535][90890] Loss_D: -0.023421 Loss_G: 0.012189 Loss_D_real: -0.016398 Loss_D_fake 0.007022
[882/5000][265/535][90891] Loss_D: -0.022623 Loss_G: 0.004677 Loss_D_real: -0.022632 Loss_D_fake -0.000008
[882/5000][270/535][90892] Loss_D: -0.022846 Loss_G: 0.011537 Loss_D_real: -0.030323 Loss_D_fake -0.007477
[882/5000][275/535][90893] Loss_D: -0.021896 Loss_G: 0.026765 Loss_D_real: -0.027145 Loss_D_fake -0.005250
[882/5000][280/535][90894] Loss_D: -0.022535 Loss_G: -0.006022 Loss_D_real: -0.016274 Loss_D_fake 0.006261
[882/5000][285/535][90895] Loss_D: -0.022479 Loss_G: 0.007384 Loss_D_real: -0.021631 Loss_D_fake 0.000848
[882/5000][290/535][90896] Loss_D: -0.024281 Loss_G: 0.005580 Loss_D_real: -0.022999 Loss_D_fake 0.001283
[882/5000][295/535][90897] Loss_D: -0.021814 Loss_G: 0.020036 Loss_D_real: -0.040096 Loss_D_fake -0.018283
[882/5000][300/535][90898] Loss_D: -0.022186 Loss_G: 0.019892 Loss_D_real: -0.033166 Loss_D_fake -0.010980
[882/5000][305/535][90899] Loss_D: -0.023227 Loss_G: -0.001864 Loss_D_real: -0.003482 Loss_D_fake 0.019745
[882/5000][310/535][90900] Loss_D: -0.022592 Loss_G: -0.004926 Loss_D_real: -0.006310 Loss_D_fake 0.016283
[882/5000][315/535][90901] Loss_D: -0.023428 Loss_G: 0.018228 Loss_D_real: -0.033007 Loss_D_fake -0.009579
[882/5000][320/535][90902] Loss_D: -0.022063 Loss_G: 0.015519 Loss_D_real: -0.028010 Loss_D_fake -0.005946
[882/5000][325/535][90903] Loss_D: -0.024182 Loss_G: 0.018652 Loss_D_real: -0.025929 Loss_D_fake -0.001747
[882/5000][330/535][90904] Loss_D: -0.022158 Loss_G: -0.010242 Loss_D_real: -0.005230 Loss_D_fake 0.016929
[882/5000][335/535][90905] Loss_D: -0.021638 Loss_G: 0.006034 Loss_D_real: -0.034457 Loss_D_fake -0.012819
[882/5000][340/535][90906] Loss_D: -0.022480 Loss_G: -0.005509 Loss_D_real: -0.004610 Loss_D_fake 0.017870
[882/5000][345/535][90907] Loss_D: -0.022715 Loss_G: 0.018291 Loss_D_real: -0.019684 Loss_D_fake 0.003031
[882/5000][350/535][90908] Loss_D: -0.023599 Loss_G: -0.000628 Loss_D_real: -0.006268 Loss_D_fake 0.017332
[882/5000][355/535][90909] Loss_D: -0.022860 Loss_G: -0.004747 Loss_D_real: -0.014086 Loss_D_fake 0.008775
[882/5000][360/535][90910] Loss_D: -0.023518 Loss_G: 0.002686 Loss_D_real: -0.009187 Loss_D_fake 0.014330
[882/5000][365/535][90911] Loss_D: -0.022948 Loss_G: 0.013210 Loss_D_real: -0.014859 Loss_D_fake 0.008089
[882/5000][370/535][90912] Loss_D: -0.022981 Loss_G: 0.000239 Loss_D_real: -0.015233 Loss_D_fake 0.007748
[882/5000][375/535][90913] Loss_D: -0.022012 Loss_G: 0.025543 Loss_D_real: -0.030856 Loss_D_fake -0.008844
[882/5000][380/535][90914] Loss_D: -0.023857 Loss_G: 0.006355 Loss_D_real: -0.022578 Loss_D_fake 0.001279
[882/5000][385/535][90915] Loss_D: -0.022447 Loss_G: -0.001855 Loss_D_real: -0.013444 Loss_D_fake 0.009003
[882/5000][390/535][90916] Loss_D: -0.020995 Loss_G: 0.022583 Loss_D_real: -0.027890 Loss_D_fake -0.006895
[882/5000][395/535][90917] Loss_D: -0.021503 Loss_G: -0.010922 Loss_D_real: -0.011031 Loss_D_fake 0.010471
[882/5000][400/535][90918] Loss_D: -0.023832 Loss_G: 0.009640 Loss_D_real: -0.016813 Loss_D_fake 0.007019
[882/5000][405/535][90919] Loss_D: -0.021369 Loss_G: 0.012858 Loss_D_real: -0.023211 Loss_D_fake -0.001842
[882/5000][410/535][90920] Loss_D: -0.020997 Loss_G: -0.004922 Loss_D_real: -0.006042 Loss_D_fake 0.014954
[882/5000][415/535][90921] Loss_D: -0.022411 Loss_G: -0.009395 Loss_D_real: -0.010250 Loss_D_fake 0.012161
[882/5000][420/535][90922] Loss_D: -0.023278 Loss_G: 0.004686 Loss_D_real: -0.018557 Loss_D_fake 0.004721
[882/5000][425/535][90923] Loss_D: -0.024443 Loss_G: 0.010391 Loss_D_real: -0.022957 Loss_D_fake 0.001486
[882/5000][430/535][90924] Loss_D: -0.023518 Loss_G: 0.010856 Loss_D_real: -0.010515 Loss_D_fake 0.013004
[882/5000][435/535][90925] Loss_D: -0.023023 Loss_G: 0.024662 Loss_D_real: -0.028345 Loss_D_fake -0.005322
[882/5000][440/535][90926] Loss_D: -0.020651 Loss_G: -0.007672 Loss_D_real: -0.005688 Loss_D_fake 0.014963
[882/5000][445/535][90927] Loss_D: -0.021979 Loss_G: -0.000121 Loss_D_real: -0.021090 Loss_D_fake 0.000889
[882/5000][450/535][90928] Loss_D: -0.023475 Loss_G: 0.006922 Loss_D_real: -0.011439 Loss_D_fake 0.012036
[882/5000][455/535][90929] Loss_D: -0.020673 Loss_G: 0.036105 Loss_D_real: -0.030793 Loss_D_fake -0.010120
[882/5000][460/535][90930] Loss_D: -0.022507 Loss_G: -0.000718 Loss_D_real: -0.009322 Loss_D_fake 0.013185
[882/5000][465/535][90931] Loss_D: -0.022294 Loss_G: 0.028201 Loss_D_real: -0.020055 Loss_D_fake 0.002238
[882/5000][470/535][90932] Loss_D: -0.023093 Loss_G: 0.013270 Loss_D_real: -0.027320 Loss_D_fake -0.004227
[882/5000][475/535][90933] Loss_D: -0.022124 Loss_G: 0.017297 Loss_D_real: -0.020210 Loss_D_fake 0.001914
[882/5000][480/535][90934] Loss_D: -0.021693 Loss_G: 0.007014 Loss_D_real: -0.026629 Loss_D_fake -0.004936
[882/5000][485/535][90935] Loss_D: -0.022360 Loss_G: 0.018640 Loss_D_real: -0.026632 Loss_D_fake -0.004272
[882/5000][490/535][90936] Loss_D: -0.024081 Loss_G: -0.001046 Loss_D_real: -0.015485 Loss_D_fake 0.008596
[882/5000][495/535][90937] Loss_D: -0.022757 Loss_G: 0.028500 Loss_D_real: -0.026929 Loss_D_fake -0.004172
[882/5000][500/535][90938] Loss_D: -0.023954 Loss_G: 0.004891 Loss_D_real: -0.009220 Loss_D_fake 0.014734
[882/5000][505/535][90939] Loss_D: -0.020009 Loss_G: 0.027545 Loss_D_real: -0.039899 Loss_D_fake -0.019890
[882/5000][510/535][90940] Loss_D: -0.022442 Loss_G: -0.000621 Loss_D_real: -0.022665 Loss_D_fake -0.000223
[882/5000][515/535][90941] Loss_D: -0.021520 Loss_G: 0.009819 Loss_D_real: -0.029191 Loss_D_fake -0.007672
[882/5000][520/535][90942] Loss_D: -0.022813 Loss_G: -0.003728 Loss_D_real: -0.013540 Loss_D_fake 0.009273
[882/5000][525/535][90943] Loss_D: -0.021566 Loss_G: 0.011972 Loss_D_real: -0.023787 Loss_D_fake -0.002221
[882/5000][530/535][90944] Loss_D: -0.020630 Loss_G: 0.014820 Loss_D_real: -0.028589 Loss_D_fake -0.007959
[882/5000][535/535][90945] Loss_D: -0.024809 Loss_G: -0.013116 Loss_D_real: -0.007984 Loss_D_fake 0.016825
[883/5000][5/535][90946] Loss_D: -0.023344 Loss_G: 0.013509 Loss_D_real: -0.024223 Loss_D_fake -0.000879
[883/5000][10/535][90947] Loss_D: -0.023241 Loss_G: 0.021065 Loss_D_real: -0.025830 Loss_D_fake -0.002589
[883/5000][15/535][90948] Loss_D: -0.022601 Loss_G: 0.017504 Loss_D_real: -0.027636 Loss_D_fake -0.005036
[883/5000][20/535][90949] Loss_D: -0.022135 Loss_G: -0.013459 Loss_D_real: -0.003378 Loss_D_fake 0.018757
[883/5000][25/535][90950] Loss_D: -0.022526 Loss_G: -0.002724 Loss_D_real: -0.015848 Loss_D_fake 0.006678
[883/5000][30/535][90951] Loss_D: -0.022911 Loss_G: 0.010787 Loss_D_real: -0.020450 Loss_D_fake 0.002461
[883/5000][35/535][90952] Loss_D: -0.022081 Loss_G: 0.013513 Loss_D_real: -0.024111 Loss_D_fake -0.002030
[883/5000][40/535][90953] Loss_D: -0.022762 Loss_G: 0.019815 Loss_D_real: -0.030500 Loss_D_fake -0.007737
[883/5000][45/535][90954] Loss_D: -0.023278 Loss_G: 0.013605 Loss_D_real: -0.033772 Loss_D_fake -0.010494
[883/5000][50/535][90955] Loss_D: -0.023962 Loss_G: -0.006019 Loss_D_real: -0.002997 Loss_D_fake 0.020964
[883/5000][55/535][90956] Loss_D: -0.023502 Loss_G: 0.013908 Loss_D_real: -0.030278 Loss_D_fake -0.006776
[883/5000][60/535][90957] Loss_D: -0.022373 Loss_G: 0.000980 Loss_D_real: -0.012119 Loss_D_fake 0.010254
[883/5000][65/535][90958] Loss_D: -0.022897 Loss_G: -0.001021 Loss_D_real: -0.003033 Loss_D_fake 0.019864
[883/5000][70/535][90959] Loss_D: -0.023030 Loss_G: 0.008112 Loss_D_real: -0.021225 Loss_D_fake 0.001806
[883/5000][75/535][90960] Loss_D: -0.023671 Loss_G: -0.005018 Loss_D_real: -0.011069 Loss_D_fake 0.012602
[883/5000][80/535][90961] Loss_D: -0.022247 Loss_G: 0.019621 Loss_D_real: -0.025936 Loss_D_fake -0.003689
[883/5000][85/535][90962] Loss_D: -0.019512 Loss_G: 0.031616 Loss_D_real: -0.038190 Loss_D_fake -0.018678
[883/5000][90/535][90963] Loss_D: -0.022755 Loss_G: -0.011793 Loss_D_real: -0.010554 Loss_D_fake 0.012201
[883/5000][95/535][90964] Loss_D: -0.023736 Loss_G: -0.007792 Loss_D_real: -0.008353 Loss_D_fake 0.015383
[883/5000][100/535][90965] Loss_D: -0.023819 Loss_G: 0.004824 Loss_D_real: -0.023938 Loss_D_fake -0.000120
[883/5000][105/535][90966] Loss_D: -0.023314 Loss_G: 0.022890 Loss_D_real: -0.019378 Loss_D_fake 0.003936
[883/5000][110/535][90967] Loss_D: -0.023441 Loss_G: -0.007008 Loss_D_real: -0.006503 Loss_D_fake 0.016938
[883/5000][115/535][90968] Loss_D: -0.022074 Loss_G: -0.005405 Loss_D_real: -0.017486 Loss_D_fake 0.004587
[883/5000][120/535][90969] Loss_D: -0.022840 Loss_G: 0.009849 Loss_D_real: -0.013730 Loss_D_fake 0.009110
[883/5000][125/535][90970] Loss_D: -0.022189 Loss_G: 0.023401 Loss_D_real: -0.030924 Loss_D_fake -0.008735
[883/5000][130/535][90971] Loss_D: -0.023195 Loss_G: 0.012892 Loss_D_real: -0.022881 Loss_D_fake 0.000313
[883/5000][135/535][90972] Loss_D: -0.024037 Loss_G: -0.002315 Loss_D_real: -0.016158 Loss_D_fake 0.007879
[883/5000][140/535][90973] Loss_D: -0.022666 Loss_G: 0.022266 Loss_D_real: -0.033183 Loss_D_fake -0.010518
[883/5000][145/535][90974] Loss_D: -0.022964 Loss_G: 0.004390 Loss_D_real: -0.021943 Loss_D_fake 0.001022
[883/5000][150/535][90975] Loss_D: -0.021735 Loss_G: 0.023521 Loss_D_real: -0.034751 Loss_D_fake -0.013016
[883/5000][155/535][90976] Loss_D: -0.022456 Loss_G: 0.006832 Loss_D_real: -0.024643 Loss_D_fake -0.002187
[883/5000][160/535][90977] Loss_D: -0.022542 Loss_G: 0.000387 Loss_D_real: -0.002622 Loss_D_fake 0.019920
[883/5000][165/535][90978] Loss_D: -0.023960 Loss_G: -0.005236 Loss_D_real: -0.012120 Loss_D_fake 0.011840
[883/5000][170/535][90979] Loss_D: -0.021106 Loss_G: 0.015729 Loss_D_real: -0.023809 Loss_D_fake -0.002703
[883/5000][175/535][90980] Loss_D: -0.024022 Loss_G: 0.004763 Loss_D_real: -0.017285 Loss_D_fake 0.006737
[883/5000][180/535][90981] Loss_D: -0.022244 Loss_G: 0.020404 Loss_D_real: -0.031031 Loss_D_fake -0.008787
[883/5000][185/535][90982] Loss_D: -0.022101 Loss_G: -0.008593 Loss_D_real: -0.007124 Loss_D_fake 0.014977
[883/5000][190/535][90983] Loss_D: -0.022209 Loss_G: 0.003651 Loss_D_real: -0.014662 Loss_D_fake 0.007547
[883/5000][195/535][90984] Loss_D: -0.021852 Loss_G: -0.004521 Loss_D_real: -0.012053 Loss_D_fake 0.009800
[883/5000][200/535][90985] Loss_D: -0.022192 Loss_G: 0.012776 Loss_D_real: -0.020907 Loss_D_fake 0.001284
[883/5000][205/535][90986] Loss_D: -0.021753 Loss_G: -0.001886 Loss_D_real: -0.022182 Loss_D_fake -0.000429
[883/5000][210/535][90987] Loss_D: -0.021907 Loss_G: 0.015313 Loss_D_real: -0.031002 Loss_D_fake -0.009094
[883/5000][215/535][90988] Loss_D: -0.020691 Loss_G: 0.003729 Loss_D_real: -0.011647 Loss_D_fake 0.009045
[883/5000][220/535][90989] Loss_D: -0.022473 Loss_G: 0.006113 Loss_D_real: -0.022412 Loss_D_fake 0.000061
[883/5000][225/535][90990] Loss_D: -0.022220 Loss_G: 0.024733 Loss_D_real: -0.028494 Loss_D_fake -0.006274
[883/5000][230/535][90991] Loss_D: -0.022221 Loss_G: 0.022058 Loss_D_real: -0.027511 Loss_D_fake -0.005290
[883/5000][235/535][90992] Loss_D: -0.022217 Loss_G: -0.004293 Loss_D_real: -0.002666 Loss_D_fake 0.019550
[883/5000][240/535][90993] Loss_D: -0.022700 Loss_G: 0.015450 Loss_D_real: -0.026399 Loss_D_fake -0.003698
[883/5000][245/535][90994] Loss_D: -0.022567 Loss_G: 0.017744 Loss_D_real: -0.027040 Loss_D_fake -0.004472
[883/5000][250/535][90995] Loss_D: -0.023596 Loss_G: 0.011324 Loss_D_real: -0.019220 Loss_D_fake 0.004375
[883/5000][255/535][90996] Loss_D: -0.023803 Loss_G: 0.015289 Loss_D_real: -0.019687 Loss_D_fake 0.004116
[883/5000][260/535][90997] Loss_D: -0.021808 Loss_G: -0.003454 Loss_D_real: -0.017598 Loss_D_fake 0.004210
[883/5000][265/535][90998] Loss_D: -0.023598 Loss_G: -0.001612 Loss_D_real: -0.015706 Loss_D_fake 0.007892
[883/5000][270/535][90999] Loss_D: -0.023298 Loss_G: 0.003914 Loss_D_real: -0.014752 Loss_D_fake 0.008546
[883/5000][275/535][91000] Loss_D: -0.022179 Loss_G: 0.002704 Loss_D_real: -0.016817 Loss_D_fake 0.005362
[883/5000][375/535][91001] Loss_D: -0.026981 Loss_G: 0.015657 Loss_D_real: -0.013471 Loss_D_fake 0.013510
[883/5000][380/535][91002] Loss_D: -0.022892 Loss_G: -0.005266 Loss_D_real: -0.009741 Loss_D_fake 0.013151
[883/5000][385/535][91003] Loss_D: -0.020802 Loss_G: -0.006837 Loss_D_real: -0.011002 Loss_D_fake 0.009801
[883/5000][390/535][91004] Loss_D: -0.022151 Loss_G: 0.004110 Loss_D_real: -0.020862 Loss_D_fake 0.001289
[883/5000][395/535][91005] Loss_D: -0.020702 Loss_G: 0.018637 Loss_D_real: -0.022556 Loss_D_fake -0.001854
[883/5000][400/535][91006] Loss_D: -0.022279 Loss_G: 0.007947 Loss_D_real: -0.028727 Loss_D_fake -0.006448
[883/5000][405/535][91007] Loss_D: -0.021604 Loss_G: 0.009251 Loss_D_real: -0.021281 Loss_D_fake 0.000323
[883/5000][410/535][91008] Loss_D: -0.023486 Loss_G: 0.004841 Loss_D_real: -0.020308 Loss_D_fake 0.003178
[883/5000][415/535][91009] Loss_D: -0.022347 Loss_G: 0.002627 Loss_D_real: -0.019221 Loss_D_fake 0.003126
[883/5000][420/535][91010] Loss_D: -0.022396 Loss_G: 0.020806 Loss_D_real: -0.021788 Loss_D_fake 0.000609
[883/5000][425/535][91011] Loss_D: -0.022331 Loss_G: 0.001014 Loss_D_real: -0.012498 Loss_D_fake 0.009833
[883/5000][430/535][91012] Loss_D: -0.021915 Loss_G: 0.007954 Loss_D_real: -0.017406 Loss_D_fake 0.004509
[883/5000][435/535][91013] Loss_D: -0.022770 Loss_G: 0.002942 Loss_D_real: -0.005777 Loss_D_fake 0.016994
[883/5000][440/535][91014] Loss_D: -0.021712 Loss_G: 0.019792 Loss_D_real: -0.033114 Loss_D_fake -0.011401
[883/5000][445/535][91015] Loss_D: -0.021521 Loss_G: 0.015838 Loss_D_real: -0.020658 Loss_D_fake 0.000863
[883/5000][450/535][91016] Loss_D: -0.021745 Loss_G: -0.007759 Loss_D_real: -0.017575 Loss_D_fake 0.004171
[883/5000][455/535][91017] Loss_D: -0.021089 Loss_G: 0.023049 Loss_D_real: -0.028234 Loss_D_fake -0.007145
[883/5000][460/535][91018] Loss_D: -0.021008 Loss_G: 0.011141 Loss_D_real: -0.021864 Loss_D_fake -0.000857
[883/5000][465/535][91019] Loss_D: -0.022755 Loss_G: 0.008122 Loss_D_real: -0.017442 Loss_D_fake 0.005313
[883/5000][470/535][91020] Loss_D: -0.023115 Loss_G: 0.003489 Loss_D_real: -0.018049 Loss_D_fake 0.005066
[883/5000][475/535][91021] Loss_D: -0.022591 Loss_G: -0.001301 Loss_D_real: -0.009572 Loss_D_fake 0.013019
[883/5000][480/535][91022] Loss_D: -0.022076 Loss_G: 0.020704 Loss_D_real: -0.035877 Loss_D_fake -0.013801
[883/5000][485/535][91023] Loss_D: -0.024683 Loss_G: 0.011796 Loss_D_real: -0.016520 Loss_D_fake 0.008163
[883/5000][490/535][91024] Loss_D: -0.021642 Loss_G: -0.017623 Loss_D_real: -0.000395 Loss_D_fake 0.021247
[883/5000][495/535][91025] Loss_D: -0.021880 Loss_G: 0.018915 Loss_D_real: -0.034793 Loss_D_fake -0.012914
[883/5000][500/535][91026] Loss_D: -0.022835 Loss_G: -0.002313 Loss_D_real: -0.008346 Loss_D_fake 0.014489
[883/5000][505/535][91027] Loss_D: -0.022253 Loss_G: 0.021759 Loss_D_real: -0.016277 Loss_D_fake 0.005977
[883/5000][510/535][91028] Loss_D: -0.023343 Loss_G: 0.003670 Loss_D_real: -0.025151 Loss_D_fake -0.001809
[883/5000][515/535][91029] Loss_D: -0.022902 Loss_G: 0.018546 Loss_D_real: -0.031642 Loss_D_fake -0.008740
[883/5000][520/535][91030] Loss_D: -0.021788 Loss_G: -0.001653 Loss_D_real: -0.012024 Loss_D_fake 0.009764
[883/5000][525/535][91031] Loss_D: -0.021873 Loss_G: -0.002601 Loss_D_real: -0.011092 Loss_D_fake 0.010781
[883/5000][530/535][91032] Loss_D: -0.021680 Loss_G: 0.035498 Loss_D_real: -0.023115 Loss_D_fake -0.001435
[883/5000][535/535][91033] Loss_D: -0.018876 Loss_G: 0.004281 Loss_D_real: -0.011593 Loss_D_fake 0.007283
[884/5000][5/535][91034] Loss_D: -0.022117 Loss_G: -0.002644 Loss_D_real: -0.007736 Loss_D_fake 0.014380
[884/5000][10/535][91035] Loss_D: -0.024677 Loss_G: 0.011913 Loss_D_real: -0.027696 Loss_D_fake -0.003018
[884/5000][15/535][91036] Loss_D: -0.024272 Loss_G: 0.009792 Loss_D_real: -0.021671 Loss_D_fake 0.002600
[884/5000][20/535][91037] Loss_D: -0.022279 Loss_G: 0.010018 Loss_D_real: -0.025690 Loss_D_fake -0.003411
[884/5000][25/535][91038] Loss_D: -0.021758 Loss_G: -0.005457 Loss_D_real: -0.009879 Loss_D_fake 0.011879
[884/5000][30/535][91039] Loss_D: -0.023205 Loss_G: 0.011846 Loss_D_real: -0.026086 Loss_D_fake -0.002880
[884/5000][35/535][91040] Loss_D: -0.021942 Loss_G: -0.002057 Loss_D_real: 0.004640 Loss_D_fake 0.026581
[884/5000][40/535][91041] Loss_D: -0.021973 Loss_G: 0.027768 Loss_D_real: -0.032066 Loss_D_fake -0.010093
[884/5000][45/535][91042] Loss_D: -0.023428 Loss_G: 0.005008 Loss_D_real: -0.026243 Loss_D_fake -0.002814
[884/5000][50/535][91043] Loss_D: -0.021207 Loss_G: 0.022554 Loss_D_real: -0.030654 Loss_D_fake -0.009447
[884/5000][55/535][91044] Loss_D: -0.023021 Loss_G: 0.005731 Loss_D_real: -0.005467 Loss_D_fake 0.017554
[884/5000][60/535][91045] Loss_D: -0.021336 Loss_G: 0.022483 Loss_D_real: -0.034390 Loss_D_fake -0.013054
[884/5000][65/535][91046] Loss_D: -0.023948 Loss_G: 0.005348 Loss_D_real: -0.020969 Loss_D_fake 0.002978
[884/5000][70/535][91047] Loss_D: -0.021868 Loss_G: 0.006888 Loss_D_real: -0.025149 Loss_D_fake -0.003281
[884/5000][75/535][91048] Loss_D: -0.023160 Loss_G: -0.006747 Loss_D_real: 0.000347 Loss_D_fake 0.023507
[884/5000][80/535][91049] Loss_D: -0.022977 Loss_G: 0.028743 Loss_D_real: -0.023043 Loss_D_fake -0.000067
[884/5000][85/535][91050] Loss_D: -0.022738 Loss_G: 0.010615 Loss_D_real: -0.017366 Loss_D_fake 0.005373
[884/5000][90/535][91051] Loss_D: -0.021896 Loss_G: 0.009914 Loss_D_real: -0.015435 Loss_D_fake 0.006461
[884/5000][95/535][91052] Loss_D: -0.023303 Loss_G: 0.007179 Loss_D_real: -0.019231 Loss_D_fake 0.004072
[884/5000][100/535][91053] Loss_D: -0.023115 Loss_G: 0.020942 Loss_D_real: -0.016933 Loss_D_fake 0.006182
[884/5000][105/535][91054] Loss_D: -0.023085 Loss_G: 0.005726 Loss_D_real: -0.019741 Loss_D_fake 0.003344
[884/5000][110/535][91055] Loss_D: -0.021901 Loss_G: 0.003605 Loss_D_real: -0.017760 Loss_D_fake 0.004141
[884/5000][115/535][91056] Loss_D: -0.024338 Loss_G: 0.001970 Loss_D_real: -0.018273 Loss_D_fake 0.006065
[884/5000][120/535][91057] Loss_D: -0.022480 Loss_G: 0.020642 Loss_D_real: -0.028752 Loss_D_fake -0.006273
[884/5000][125/535][91058] Loss_D: -0.023585 Loss_G: 0.007324 Loss_D_real: -0.003700 Loss_D_fake 0.019885
[884/5000][130/535][91059] Loss_D: -0.022587 Loss_G: 0.003199 Loss_D_real: -0.006246 Loss_D_fake 0.016341
[884/5000][135/535][91060] Loss_D: -0.023671 Loss_G: 0.020786 Loss_D_real: -0.024190 Loss_D_fake -0.000518
[884/5000][140/535][91061] Loss_D: -0.023500 Loss_G: 0.010779 Loss_D_real: -0.015444 Loss_D_fake 0.008056
[884/5000][145/535][91062] Loss_D: -0.020867 Loss_G: 0.022968 Loss_D_real: -0.034597 Loss_D_fake -0.013729
[884/5000][150/535][91063] Loss_D: -0.022563 Loss_G: -0.004956 Loss_D_real: -0.001008 Loss_D_fake 0.021555
[884/5000][155/535][91064] Loss_D: -0.023522 Loss_G: 0.013906 Loss_D_real: -0.026731 Loss_D_fake -0.003209
[884/5000][160/535][91065] Loss_D: -0.021985 Loss_G: 0.008402 Loss_D_real: -0.020539 Loss_D_fake 0.001445
[884/5000][165/535][91066] Loss_D: -0.022430 Loss_G: 0.009964 Loss_D_real: -0.019757 Loss_D_fake 0.002673
[884/5000][170/535][91067] Loss_D: -0.023293 Loss_G: 0.021028 Loss_D_real: -0.037451 Loss_D_fake -0.014157
[884/5000][175/535][91068] Loss_D: -0.023224 Loss_G: 0.005560 Loss_D_real: -0.018260 Loss_D_fake 0.004964
[884/5000][180/535][91069] Loss_D: -0.024174 Loss_G: 0.015949 Loss_D_real: -0.025647 Loss_D_fake -0.001473
[884/5000][185/535][91070] Loss_D: -0.022348 Loss_G: 0.000852 Loss_D_real: 0.002081 Loss_D_fake 0.024429
[884/5000][190/535][91071] Loss_D: -0.022523 Loss_G: -0.004343 Loss_D_real: -0.013328 Loss_D_fake 0.009194
[884/5000][195/535][91072] Loss_D: -0.022748 Loss_G: 0.000186 Loss_D_real: -0.015340 Loss_D_fake 0.007408
[884/5000][200/535][91073] Loss_D: -0.024056 Loss_G: 0.001654 Loss_D_real: -0.025800 Loss_D_fake -0.001744
[884/5000][205/535][91074] Loss_D: -0.023321 Loss_G: 0.002895 Loss_D_real: -0.023647 Loss_D_fake -0.000326
[884/5000][210/535][91075] Loss_D: -0.022442 Loss_G: -0.007122 Loss_D_real: -0.010969 Loss_D_fake 0.011473
[884/5000][215/535][91076] Loss_D: -0.022103 Loss_G: 0.003231 Loss_D_real: -0.014545 Loss_D_fake 0.007558
[884/5000][220/535][91077] Loss_D: -0.024937 Loss_G: 0.005824 Loss_D_real: -0.011287 Loss_D_fake 0.013650
[884/5000][225/535][91078] Loss_D: -0.023371 Loss_G: 0.012490 Loss_D_real: -0.019017 Loss_D_fake 0.004355
[884/5000][230/535][91079] Loss_D: -0.021568 Loss_G: -0.007264 Loss_D_real: -0.001139 Loss_D_fake 0.020429
[884/5000][235/535][91080] Loss_D: -0.023066 Loss_G: 0.012236 Loss_D_real: -0.022776 Loss_D_fake 0.000290
[884/5000][240/535][91081] Loss_D: -0.023453 Loss_G: 0.034755 Loss_D_real: -0.023158 Loss_D_fake 0.000295
[884/5000][245/535][91082] Loss_D: -0.023481 Loss_G: 0.011386 Loss_D_real: -0.023165 Loss_D_fake 0.000315
[884/5000][250/535][91083] Loss_D: -0.022384 Loss_G: -0.002311 Loss_D_real: -0.008205 Loss_D_fake 0.014178
[884/5000][255/535][91084] Loss_D: -0.022886 Loss_G: 0.031512 Loss_D_real: -0.031670 Loss_D_fake -0.008784
[884/5000][260/535][91085] Loss_D: -0.023629 Loss_G: -0.015137 Loss_D_real: -0.013902 Loss_D_fake 0.009727
[884/5000][265/535][91086] Loss_D: -0.022934 Loss_G: 0.009417 Loss_D_real: -0.023940 Loss_D_fake -0.001005
[884/5000][270/535][91087] Loss_D: -0.021641 Loss_G: 0.029282 Loss_D_real: -0.030920 Loss_D_fake -0.009279
[884/5000][275/535][91088] Loss_D: -0.021839 Loss_G: -0.009578 Loss_D_real: -0.004519 Loss_D_fake 0.017320
[884/5000][280/535][91089] Loss_D: -0.023036 Loss_G: 0.018229 Loss_D_real: -0.023844 Loss_D_fake -0.000808
[884/5000][285/535][91090] Loss_D: -0.023258 Loss_G: 0.017352 Loss_D_real: -0.029228 Loss_D_fake -0.005970
[884/5000][290/535][91091] Loss_D: -0.023560 Loss_G: -0.005593 Loss_D_real: -0.002678 Loss_D_fake 0.020881
[884/5000][295/535][91092] Loss_D: -0.022989 Loss_G: 0.019284 Loss_D_real: -0.026338 Loss_D_fake -0.003349
[884/5000][300/535][91093] Loss_D: -0.024189 Loss_G: 0.001186 Loss_D_real: -0.023904 Loss_D_fake 0.000285
[884/5000][305/535][91094] Loss_D: -0.023693 Loss_G: 0.010953 Loss_D_real: -0.010452 Loss_D_fake 0.013241
[884/5000][310/535][91095] Loss_D: -0.024175 Loss_G: -0.001829 Loss_D_real: -0.012950 Loss_D_fake 0.011225
[884/5000][315/535][91096] Loss_D: -0.023657 Loss_G: 0.009362 Loss_D_real: -0.022386 Loss_D_fake 0.001271
[884/5000][320/535][91097] Loss_D: -0.023964 Loss_G: 0.008190 Loss_D_real: -0.014453 Loss_D_fake 0.009510
[884/5000][325/535][91098] Loss_D: -0.022485 Loss_G: 0.011771 Loss_D_real: -0.021163 Loss_D_fake 0.001322
[884/5000][330/535][91099] Loss_D: -0.022106 Loss_G: -0.002029 Loss_D_real: -0.010360 Loss_D_fake 0.011746
[884/5000][335/535][91100] Loss_D: -0.023166 Loss_G: 0.009046 Loss_D_real: -0.017032 Loss_D_fake 0.006134
[884/5000][340/535][91101] Loss_D: -0.021997 Loss_G: 0.001294 Loss_D_real: -0.008675 Loss_D_fake 0.013322
[884/5000][345/535][91102] Loss_D: -0.023070 Loss_G: 0.025704 Loss_D_real: -0.024551 Loss_D_fake -0.001481
[884/5000][350/535][91103] Loss_D: -0.022020 Loss_G: -0.005655 Loss_D_real: -0.008634 Loss_D_fake 0.013386
[884/5000][355/535][91104] Loss_D: -0.021068 Loss_G: 0.013606 Loss_D_real: -0.028500 Loss_D_fake -0.007432
[884/5000][360/535][91105] Loss_D: -0.022447 Loss_G: -0.004400 Loss_D_real: -0.001795 Loss_D_fake 0.020653
[884/5000][365/535][91106] Loss_D: -0.021183 Loss_G: 0.011885 Loss_D_real: -0.022613 Loss_D_fake -0.001430
[884/5000][370/535][91107] Loss_D: -0.022836 Loss_G: 0.010256 Loss_D_real: -0.009091 Loss_D_fake 0.013746
[884/5000][375/535][91108] Loss_D: -0.021240 Loss_G: -0.003468 Loss_D_real: -0.009786 Loss_D_fake 0.011454
[884/5000][380/535][91109] Loss_D: -0.022220 Loss_G: 0.027932 Loss_D_real: -0.027023 Loss_D_fake -0.004802
[884/5000][385/535][91110] Loss_D: -0.022133 Loss_G: -0.000678 Loss_D_real: -0.017651 Loss_D_fake 0.004482
[884/5000][390/535][91111] Loss_D: -0.021888 Loss_G: -0.016093 Loss_D_real: -0.001583 Loss_D_fake 0.020305
[884/5000][395/535][91112] Loss_D: -0.022082 Loss_G: 0.007277 Loss_D_real: -0.013494 Loss_D_fake 0.008589
[884/5000][400/535][91113] Loss_D: -0.024011 Loss_G: 0.009749 Loss_D_real: -0.022958 Loss_D_fake 0.001053
[884/5000][405/535][91114] Loss_D: -0.023133 Loss_G: 0.015531 Loss_D_real: -0.030135 Loss_D_fake -0.007002
[884/5000][410/535][91115] Loss_D: -0.021602 Loss_G: 0.021753 Loss_D_real: -0.019425 Loss_D_fake 0.002177
[884/5000][415/535][91116] Loss_D: -0.023260 Loss_G: 0.005387 Loss_D_real: -0.011756 Loss_D_fake 0.011505
[884/5000][420/535][91117] Loss_D: -0.023045 Loss_G: 0.028631 Loss_D_real: -0.028370 Loss_D_fake -0.005325
[884/5000][425/535][91118] Loss_D: -0.021979 Loss_G: -0.002482 Loss_D_real: -0.018712 Loss_D_fake 0.003268
[884/5000][430/535][91119] Loss_D: -0.023700 Loss_G: 0.013225 Loss_D_real: -0.020864 Loss_D_fake 0.002836
[884/5000][435/535][91120] Loss_D: -0.021458 Loss_G: 0.027725 Loss_D_real: -0.029326 Loss_D_fake -0.007868
[884/5000][440/535][91121] Loss_D: -0.022537 Loss_G: 0.003137 Loss_D_real: -0.018989 Loss_D_fake 0.003548
[884/5000][445/535][91122] Loss_D: -0.021688 Loss_G: -0.011534 Loss_D_real: -0.006470 Loss_D_fake 0.015219
[884/5000][450/535][91123] Loss_D: -0.022699 Loss_G: 0.001558 Loss_D_real: -0.020579 Loss_D_fake 0.002119
[884/5000][455/535][91124] Loss_D: -0.022908 Loss_G: -0.000891 Loss_D_real: -0.006556 Loss_D_fake 0.016352
[884/5000][460/535][91125] Loss_D: -0.022771 Loss_G: 0.005550 Loss_D_real: -0.006489 Loss_D_fake 0.016282
[884/5000][465/535][91126] Loss_D: -0.023072 Loss_G: -0.000190 Loss_D_real: -0.008148 Loss_D_fake 0.014924
[884/5000][470/535][91127] Loss_D: -0.022760 Loss_G: 0.008883 Loss_D_real: -0.014937 Loss_D_fake 0.007823
[884/5000][475/535][91128] Loss_D: -0.021925 Loss_G: 0.022405 Loss_D_real: -0.028918 Loss_D_fake -0.006993
[884/5000][480/535][91129] Loss_D: -0.023004 Loss_G: -0.005375 Loss_D_real: -0.018099 Loss_D_fake 0.004905
[884/5000][485/535][91130] Loss_D: -0.022741 Loss_G: 0.006409 Loss_D_real: -0.012667 Loss_D_fake 0.010074
[884/5000][490/535][91131] Loss_D: -0.021959 Loss_G: 0.015335 Loss_D_real: -0.021557 Loss_D_fake 0.000402
[884/5000][495/535][91132] Loss_D: -0.023927 Loss_G: -0.006273 Loss_D_real: -0.018462 Loss_D_fake 0.005465
[884/5000][500/535][91133] Loss_D: -0.021770 Loss_G: 0.024096 Loss_D_real: -0.019592 Loss_D_fake 0.002178
[884/5000][505/535][91134] Loss_D: -0.022973 Loss_G: 0.010853 Loss_D_real: -0.029885 Loss_D_fake -0.006912
[884/5000][510/535][91135] Loss_D: -0.022313 Loss_G: -0.005103 Loss_D_real: -0.008163 Loss_D_fake 0.014150
[884/5000][515/535][91136] Loss_D: -0.022419 Loss_G: 0.003945 Loss_D_real: -0.015804 Loss_D_fake 0.006615
[884/5000][520/535][91137] Loss_D: -0.023213 Loss_G: 0.008499 Loss_D_real: -0.013892 Loss_D_fake 0.009321
[884/5000][525/535][91138] Loss_D: -0.020264 Loss_G: -0.012969 Loss_D_real: -0.005289 Loss_D_fake 0.014975
[884/5000][530/535][91139] Loss_D: -0.021599 Loss_G: -0.000171 Loss_D_real: -0.012556 Loss_D_fake 0.009043
[884/5000][535/535][91140] Loss_D: -0.022168 Loss_G: -0.016962 Loss_D_real: -0.005599 Loss_D_fake 0.016569
[885/5000][5/535][91141] Loss_D: -0.022811 Loss_G: 0.005281 Loss_D_real: -0.018460 Loss_D_fake 0.004351
[885/5000][10/535][91142] Loss_D: -0.023140 Loss_G: 0.010228 Loss_D_real: -0.015259 Loss_D_fake 0.007882
[885/5000][15/535][91143] Loss_D: -0.023212 Loss_G: 0.004496 Loss_D_real: -0.018786 Loss_D_fake 0.004426
[885/5000][20/535][91144] Loss_D: -0.022601 Loss_G: 0.018111 Loss_D_real: -0.033641 Loss_D_fake -0.011040
[885/5000][25/535][91145] Loss_D: -0.023162 Loss_G: -0.010848 Loss_D_real: -0.006275 Loss_D_fake 0.016887
[885/5000][30/535][91146] Loss_D: -0.021741 Loss_G: 0.022849 Loss_D_real: -0.030837 Loss_D_fake -0.009095
[885/5000][35/535][91147] Loss_D: -0.023671 Loss_G: 0.027193 Loss_D_real: -0.031224 Loss_D_fake -0.007553
[885/5000][40/535][91148] Loss_D: -0.021550 Loss_G: -0.002944 Loss_D_real: -0.001236 Loss_D_fake 0.020314
[885/5000][45/535][91149] Loss_D: -0.023434 Loss_G: 0.008203 Loss_D_real: -0.020068 Loss_D_fake 0.003366
[885/5000][50/535][91150] Loss_D: -0.023972 Loss_G: 0.001104 Loss_D_real: -0.012863 Loss_D_fake 0.011109
[885/5000][55/535][91151] Loss_D: -0.022836 Loss_G: 0.014786 Loss_D_real: -0.018468 Loss_D_fake 0.004369
[885/5000][60/535][91152] Loss_D: -0.024364 Loss_G: 0.017398 Loss_D_real: -0.030698 Loss_D_fake -0.006334
[885/5000][65/535][91153] Loss_D: -0.022317 Loss_G: 0.012828 Loss_D_real: -0.019109 Loss_D_fake 0.003209
[885/5000][70/535][91154] Loss_D: -0.024424 Loss_G: 0.010577 Loss_D_real: -0.008225 Loss_D_fake 0.016199
[885/5000][75/535][91155] Loss_D: -0.024003 Loss_G: 0.000767 Loss_D_real: -0.017825 Loss_D_fake 0.006178
[885/5000][80/535][91156] Loss_D: -0.022184 Loss_G: 0.017959 Loss_D_real: -0.022736 Loss_D_fake -0.000552
[885/5000][85/535][91157] Loss_D: -0.020130 Loss_G: -0.014942 Loss_D_real: 0.005226 Loss_D_fake 0.025356
[885/5000][90/535][91158] Loss_D: -0.022522 Loss_G: -0.002450 Loss_D_real: -0.014740 Loss_D_fake 0.007782
[885/5000][95/535][91159] Loss_D: -0.020952 Loss_G: -0.005783 Loss_D_real: -0.006685 Loss_D_fake 0.014267
[885/5000][100/535][91160] Loss_D: -0.021909 Loss_G: 0.011095 Loss_D_real: -0.009797 Loss_D_fake 0.012112
[885/5000][105/535][91161] Loss_D: -0.022255 Loss_G: -0.006596 Loss_D_real: -0.009147 Loss_D_fake 0.013108
[885/5000][110/535][91162] Loss_D: -0.022509 Loss_G: 0.012144 Loss_D_real: -0.022998 Loss_D_fake -0.000489
[885/5000][115/535][91163] Loss_D: -0.024195 Loss_G: 0.009882 Loss_D_real: -0.033964 Loss_D_fake -0.009768
[885/5000][120/535][91164] Loss_D: -0.023180 Loss_G: 0.012961 Loss_D_real: -0.019882 Loss_D_fake 0.003298
[885/5000][125/535][91165] Loss_D: -0.022222 Loss_G: 0.009031 Loss_D_real: -0.020461 Loss_D_fake 0.001762
[885/5000][130/535][91166] Loss_D: -0.022695 Loss_G: -0.012688 Loss_D_real: -0.025779 Loss_D_fake -0.003084
[885/5000][135/535][91167] Loss_D: -0.021339 Loss_G: 0.025796 Loss_D_real: -0.029366 Loss_D_fake -0.008026
[885/5000][140/535][91168] Loss_D: -0.022723 Loss_G: 0.005015 Loss_D_real: -0.007236 Loss_D_fake 0.015487
[885/5000][145/535][91169] Loss_D: -0.020366 Loss_G: 0.024511 Loss_D_real: -0.027346 Loss_D_fake -0.006981
[885/5000][150/535][91170] Loss_D: -0.022517 Loss_G: 0.024575 Loss_D_real: -0.035346 Loss_D_fake -0.012829
[885/5000][155/535][91171] Loss_D: -0.023014 Loss_G: 0.005725 Loss_D_real: -0.012646 Loss_D_fake 0.010368
[885/5000][160/535][91172] Loss_D: -0.023359 Loss_G: 0.012477 Loss_D_real: -0.018664 Loss_D_fake 0.004695
[885/5000][165/535][91173] Loss_D: -0.023872 Loss_G: 0.012059 Loss_D_real: -0.020459 Loss_D_fake 0.003414
[885/5000][170/535][91174] Loss_D: -0.022743 Loss_G: -0.010018 Loss_D_real: -0.005596 Loss_D_fake 0.017146
[885/5000][175/535][91175] Loss_D: -0.023599 Loss_G: 0.002018 Loss_D_real: -0.015480 Loss_D_fake 0.008119
[885/5000][180/535][91176] Loss_D: -0.022284 Loss_G: 0.014316 Loss_D_real: -0.015836 Loss_D_fake 0.006447
[885/5000][185/535][91177] Loss_D: -0.021770 Loss_G: -0.005674 Loss_D_real: -0.002748 Loss_D_fake 0.019021
[885/5000][190/535][91178] Loss_D: -0.022759 Loss_G: 0.009602 Loss_D_real: -0.028086 Loss_D_fake -0.005327
[885/5000][195/535][91179] Loss_D: -0.022470 Loss_G: -0.014779 Loss_D_real: -0.008488 Loss_D_fake 0.013982
[885/5000][200/535][91180] Loss_D: -0.021985 Loss_G: 0.020676 Loss_D_real: -0.028184 Loss_D_fake -0.006199
[885/5000][205/535][91181] Loss_D: -0.023503 Loss_G: -0.001414 Loss_D_real: -0.016754 Loss_D_fake 0.006749
[885/5000][210/535][91182] Loss_D: -0.023617 Loss_G: 0.020003 Loss_D_real: -0.035965 Loss_D_fake -0.012348
[885/5000][215/535][91183] Loss_D: -0.023121 Loss_G: 0.007623 Loss_D_real: -0.010552 Loss_D_fake 0.012569
[885/5000][220/535][91184] Loss_D: -0.023807 Loss_G: 0.004102 Loss_D_real: -0.010103 Loss_D_fake 0.013705
[885/5000][225/535][91185] Loss_D: -0.022080 Loss_G: 0.015230 Loss_D_real: -0.017645 Loss_D_fake 0.004435
[885/5000][230/535][91186] Loss_D: -0.023587 Loss_G: 0.011040 Loss_D_real: -0.037863 Loss_D_fake -0.014276
[885/5000][235/535][91187] Loss_D: -0.023612 Loss_G: 0.017974 Loss_D_real: -0.022410 Loss_D_fake 0.001202
[885/5000][240/535][91188] Loss_D: -0.022571 Loss_G: 0.007243 Loss_D_real: -0.025610 Loss_D_fake -0.003039
[885/5000][245/535][91189] Loss_D: -0.022410 Loss_G: 0.007333 Loss_D_real: -0.017761 Loss_D_fake 0.004649
[885/5000][250/535][91190] Loss_D: -0.022416 Loss_G: -0.002785 Loss_D_real: -0.013204 Loss_D_fake 0.009212
[885/5000][255/535][91191] Loss_D: -0.022112 Loss_G: 0.028908 Loss_D_real: -0.038034 Loss_D_fake -0.015922
[885/5000][260/535][91192] Loss_D: -0.022761 Loss_G: -0.006462 Loss_D_real: -0.007693 Loss_D_fake 0.015068
[885/5000][265/535][91193] Loss_D: -0.022665 Loss_G: 0.003152 Loss_D_real: -0.018251 Loss_D_fake 0.004413
[885/5000][270/535][91194] Loss_D: -0.022256 Loss_G: 0.012041 Loss_D_real: -0.015290 Loss_D_fake 0.006966
[885/5000][275/535][91195] Loss_D: -0.022789 Loss_G: 0.009379 Loss_D_real: -0.018892 Loss_D_fake 0.003897
[885/5000][280/535][91196] Loss_D: -0.022434 Loss_G: -0.011501 Loss_D_real: -0.002648 Loss_D_fake 0.019786
[885/5000][285/535][91197] Loss_D: -0.023523 Loss_G: -0.001956 Loss_D_real: -0.015063 Loss_D_fake 0.008460
[885/5000][290/535][91198] Loss_D: -0.022234 Loss_G: 0.021660 Loss_D_real: -0.021136 Loss_D_fake 0.001098
[885/5000][295/535][91199] Loss_D: -0.022733 Loss_G: 0.018955 Loss_D_real: -0.022895 Loss_D_fake -0.000162
[885/5000][300/535][91200] Loss_D: -0.022145 Loss_G: 0.019104 Loss_D_real: -0.025696 Loss_D_fake -0.003551
[885/5000][305/535][91201] Loss_D: -0.022755 Loss_G: 0.023933 Loss_D_real: -0.023315 Loss_D_fake -0.000560
[885/5000][310/535][91202] Loss_D: -0.023824 Loss_G: 0.004399 Loss_D_real: -0.023910 Loss_D_fake -0.000086
[885/5000][315/535][91203] Loss_D: -0.022645 Loss_G: 0.011828 Loss_D_real: -0.017604 Loss_D_fake 0.005041
[885/5000][320/535][91204] Loss_D: -0.023398 Loss_G: 0.001155 Loss_D_real: -0.028198 Loss_D_fake -0.004800
[885/5000][325/535][91205] Loss_D: -0.023820 Loss_G: 0.010891 Loss_D_real: -0.023343 Loss_D_fake 0.000477
[885/5000][330/535][91206] Loss_D: -0.023027 Loss_G: -0.000057 Loss_D_real: -0.010150 Loss_D_fake 0.012877
[885/5000][335/535][91207] Loss_D: -0.022163 Loss_G: 0.015451 Loss_D_real: -0.025064 Loss_D_fake -0.002901
[885/5000][340/535][91208] Loss_D: -0.021856 Loss_G: 0.033774 Loss_D_real: -0.030773 Loss_D_fake -0.008917
[885/5000][345/535][91209] Loss_D: -0.022830 Loss_G: 0.012275 Loss_D_real: -0.014311 Loss_D_fake 0.008519
[885/5000][350/535][91210] Loss_D: -0.023065 Loss_G: 0.001070 Loss_D_real: -0.025012 Loss_D_fake -0.001947
[885/5000][355/535][91211] Loss_D: -0.023568 Loss_G: 0.018258 Loss_D_real: -0.028905 Loss_D_fake -0.005337
[885/5000][360/535][91212] Loss_D: -0.023177 Loss_G: 0.008167 Loss_D_real: -0.006281 Loss_D_fake 0.016896
[885/5000][365/535][91213] Loss_D: -0.021347 Loss_G: 0.014102 Loss_D_real: -0.023298 Loss_D_fake -0.001951
[885/5000][370/535][91214] Loss_D: -0.022525 Loss_G: 0.002893 Loss_D_real: -0.016875 Loss_D_fake 0.005649
[885/5000][375/535][91215] Loss_D: -0.023325 Loss_G: 0.005692 Loss_D_real: -0.029746 Loss_D_fake -0.006421
[885/5000][380/535][91216] Loss_D: -0.023624 Loss_G: 0.028354 Loss_D_real: -0.014643 Loss_D_fake 0.008981
[885/5000][385/535][91217] Loss_D: -0.023203 Loss_G: 0.012520 Loss_D_real: -0.021688 Loss_D_fake 0.001516
[885/5000][390/535][91218] Loss_D: -0.022849 Loss_G: 0.004080 Loss_D_real: -0.015481 Loss_D_fake 0.007369
[885/5000][395/535][91219] Loss_D: -0.023155 Loss_G: 0.013939 Loss_D_real: -0.024470 Loss_D_fake -0.001315
[885/5000][400/535][91220] Loss_D: -0.022121 Loss_G: 0.032553 Loss_D_real: -0.038948 Loss_D_fake -0.016827
[885/5000][405/535][91221] Loss_D: -0.021364 Loss_G: 0.020130 Loss_D_real: -0.027535 Loss_D_fake -0.006171
[885/5000][410/535][91222] Loss_D: -0.023036 Loss_G: 0.003760 Loss_D_real: -0.012957 Loss_D_fake 0.010079
[885/5000][415/535][91223] Loss_D: -0.023908 Loss_G: 0.008174 Loss_D_real: -0.022025 Loss_D_fake 0.001883
[885/5000][420/535][91224] Loss_D: -0.023335 Loss_G: 0.008408 Loss_D_real: -0.022858 Loss_D_fake 0.000477
[885/5000][425/535][91225] Loss_D: -0.023112 Loss_G: 0.008680 Loss_D_real: -0.021294 Loss_D_fake 0.001818
[885/5000][430/535][91226] Loss_D: -0.023801 Loss_G: 0.002561 Loss_D_real: -0.019651 Loss_D_fake 0.004151
[885/5000][435/535][91227] Loss_D: -0.021620 Loss_G: 0.016046 Loss_D_real: -0.026084 Loss_D_fake -0.004464
[885/5000][440/535][91228] Loss_D: -0.022863 Loss_G: 0.001103 Loss_D_real: -0.008900 Loss_D_fake 0.013963
[885/5000][445/535][91229] Loss_D: -0.023139 Loss_G: 0.005919 Loss_D_real: -0.023889 Loss_D_fake -0.000750
[885/5000][450/535][91230] Loss_D: -0.022342 Loss_G: 0.004119 Loss_D_real: -0.005811 Loss_D_fake 0.016531
[885/5000][455/535][91231] Loss_D: -0.023196 Loss_G: 0.020311 Loss_D_real: -0.038875 Loss_D_fake -0.015679
[885/5000][460/535][91232] Loss_D: -0.022841 Loss_G: 0.016637 Loss_D_real: -0.024717 Loss_D_fake -0.001876
[885/5000][465/535][91233] Loss_D: -0.023649 Loss_G: -0.002093 Loss_D_real: -0.018433 Loss_D_fake 0.005215
[885/5000][470/535][91234] Loss_D: -0.022643 Loss_G: 0.027745 Loss_D_real: -0.028838 Loss_D_fake -0.006195
[885/5000][475/535][91235] Loss_D: -0.023464 Loss_G: 0.011351 Loss_D_real: -0.022871 Loss_D_fake 0.000593
[885/5000][480/535][91236] Loss_D: -0.021755 Loss_G: 0.021087 Loss_D_real: -0.035092 Loss_D_fake -0.013337
[885/5000][485/535][91237] Loss_D: -0.022568 Loss_G: 0.018197 Loss_D_real: -0.028701 Loss_D_fake -0.006133
[885/5000][490/535][91238] Loss_D: -0.024093 Loss_G: 0.011249 Loss_D_real: -0.020858 Loss_D_fake 0.003235
[885/5000][495/535][91239] Loss_D: -0.022175 Loss_G: 0.021378 Loss_D_real: -0.027735 Loss_D_fake -0.005561
[885/5000][500/535][91240] Loss_D: -0.023497 Loss_G: 0.001738 Loss_D_real: -0.020097 Loss_D_fake 0.003401
[885/5000][505/535][91241] Loss_D: -0.022247 Loss_G: 0.016343 Loss_D_real: -0.021085 Loss_D_fake 0.001162
[885/5000][510/535][91242] Loss_D: -0.022152 Loss_G: -0.004880 Loss_D_real: -0.008133 Loss_D_fake 0.014018
[885/5000][515/535][91243] Loss_D: -0.022947 Loss_G: 0.003646 Loss_D_real: -0.020813 Loss_D_fake 0.002135
[885/5000][520/535][91244] Loss_D: -0.023069 Loss_G: 0.012013 Loss_D_real: -0.020903 Loss_D_fake 0.002166
[885/5000][525/535][91245] Loss_D: -0.024331 Loss_G: 0.005105 Loss_D_real: -0.015923 Loss_D_fake 0.008409
[885/5000][530/535][91246] Loss_D: -0.024203 Loss_G: 0.007414 Loss_D_real: -0.015077 Loss_D_fake 0.009126
[885/5000][535/535][91247] Loss_D: -0.019651 Loss_G: 0.019186 Loss_D_real: -0.014316 Loss_D_fake 0.005335
[886/5000][5/535][91248] Loss_D: -0.023140 Loss_G: 0.010015 Loss_D_real: -0.015818 Loss_D_fake 0.007323
[886/5000][10/535][91249] Loss_D: -0.023084 Loss_G: 0.016166 Loss_D_real: -0.027945 Loss_D_fake -0.004861
[886/5000][15/535][91250] Loss_D: -0.022083 Loss_G: 0.002710 Loss_D_real: -0.003260 Loss_D_fake 0.018823
[886/5000][20/535][91251] Loss_D: -0.022283 Loss_G: 0.012583 Loss_D_real: -0.022185 Loss_D_fake 0.000098
[886/5000][25/535][91252] Loss_D: -0.023189 Loss_G: -0.006251 Loss_D_real: -0.007447 Loss_D_fake 0.015742
[886/5000][30/535][91253] Loss_D: -0.022289 Loss_G: -0.005668 Loss_D_real: -0.008142 Loss_D_fake 0.014148
[886/5000][35/535][91254] Loss_D: -0.019666 Loss_G: 0.022962 Loss_D_real: -0.034750 Loss_D_fake -0.015084
[886/5000][40/535][91255] Loss_D: -0.022108 Loss_G: 0.008545 Loss_D_real: -0.016321 Loss_D_fake 0.005787
[886/5000][45/535][91256] Loss_D: -0.022079 Loss_G: 0.000973 Loss_D_real: -0.008283 Loss_D_fake 0.013796
[886/5000][50/535][91257] Loss_D: -0.023115 Loss_G: 0.025184 Loss_D_real: -0.021154 Loss_D_fake 0.001961
[886/5000][55/535][91258] Loss_D: -0.021702 Loss_G: 0.019328 Loss_D_real: -0.024293 Loss_D_fake -0.002591
[886/5000][60/535][91259] Loss_D: -0.024610 Loss_G: 0.004670 Loss_D_real: -0.037355 Loss_D_fake -0.012745
[886/5000][65/535][91260] Loss_D: -0.023862 Loss_G: 0.014585 Loss_D_real: -0.020677 Loss_D_fake 0.003185
[886/5000][70/535][91261] Loss_D: -0.022525 Loss_G: 0.016856 Loss_D_real: -0.024151 Loss_D_fake -0.001626
[886/5000][75/535][91262] Loss_D: -0.022366 Loss_G: -0.006513 Loss_D_real: -0.012338 Loss_D_fake 0.010028
[886/5000][80/535][91263] Loss_D: -0.023674 Loss_G: 0.004800 Loss_D_real: -0.025695 Loss_D_fake -0.002021
[886/5000][85/535][91264] Loss_D: -0.022120 Loss_G: -0.000425 Loss_D_real: -0.012717 Loss_D_fake 0.009404
[886/5000][90/535][91265] Loss_D: -0.022416 Loss_G: 0.020928 Loss_D_real: -0.028296 Loss_D_fake -0.005880
[886/5000][95/535][91266] Loss_D: -0.023289 Loss_G: 0.009576 Loss_D_real: -0.027885 Loss_D_fake -0.004596
[886/5000][100/535][91267] Loss_D: -0.021687 Loss_G: 0.007574 Loss_D_real: -0.015890 Loss_D_fake 0.005797
[886/5000][105/535][91268] Loss_D: -0.022437 Loss_G: 0.013919 Loss_D_real: -0.018514 Loss_D_fake 0.003923
[886/5000][110/535][91269] Loss_D: -0.021165 Loss_G: 0.025197 Loss_D_real: -0.027946 Loss_D_fake -0.006782
[886/5000][115/535][91270] Loss_D: -0.022013 Loss_G: 0.004826 Loss_D_real: -0.026694 Loss_D_fake -0.004681
[886/5000][120/535][91271] Loss_D: -0.021764 Loss_G: 0.007045 Loss_D_real: -0.025040 Loss_D_fake -0.003276
[886/5000][125/535][91272] Loss_D: -0.022594 Loss_G: 0.013817 Loss_D_real: -0.026109 Loss_D_fake -0.003515
[886/5000][130/535][91273] Loss_D: -0.022088 Loss_G: 0.008343 Loss_D_real: -0.017329 Loss_D_fake 0.004759
[886/5000][135/535][91274] Loss_D: -0.024367 Loss_G: 0.004894 Loss_D_real: -0.018560 Loss_D_fake 0.005807
[886/5000][140/535][91275] Loss_D: -0.022687 Loss_G: 0.013272 Loss_D_real: -0.025175 Loss_D_fake -0.002488
[886/5000][145/535][91276] Loss_D: -0.022733 Loss_G: -0.013570 Loss_D_real: -0.009324 Loss_D_fake 0.013409
[886/5000][150/535][91277] Loss_D: -0.022092 Loss_G: 0.029938 Loss_D_real: -0.035825 Loss_D_fake -0.013733
[886/5000][155/535][91278] Loss_D: -0.022162 Loss_G: 0.001530 Loss_D_real: -0.009222 Loss_D_fake 0.012941
[886/5000][160/535][91279] Loss_D: -0.023183 Loss_G: 0.001187 Loss_D_real: -0.022027 Loss_D_fake 0.001156
[886/5000][165/535][91280] Loss_D: -0.022383 Loss_G: 0.008950 Loss_D_real: -0.024574 Loss_D_fake -0.002191
[886/5000][170/535][91281] Loss_D: -0.023152 Loss_G: 0.007834 Loss_D_real: -0.021272 Loss_D_fake 0.001880
[886/5000][175/535][91282] Loss_D: -0.022812 Loss_G: 0.019279 Loss_D_real: -0.025140 Loss_D_fake -0.002327
[886/5000][180/535][91283] Loss_D: -0.022816 Loss_G: -0.012761 Loss_D_real: -0.001398 Loss_D_fake 0.021418
[886/5000][185/535][91284] Loss_D: -0.022295 Loss_G: 0.002887 Loss_D_real: -0.019568 Loss_D_fake 0.002726
[886/5000][190/535][91285] Loss_D: -0.022112 Loss_G: 0.007477 Loss_D_real: -0.012606 Loss_D_fake 0.009505
[886/5000][195/535][91286] Loss_D: -0.022670 Loss_G: -0.012014 Loss_D_real: 0.001210 Loss_D_fake 0.023879
[886/5000][200/535][91287] Loss_D: -0.021850 Loss_G: 0.015277 Loss_D_real: -0.025806 Loss_D_fake -0.003956
[886/5000][205/535][91288] Loss_D: -0.021254 Loss_G: -0.016014 Loss_D_real: -0.003397 Loss_D_fake 0.017856
[886/5000][210/535][91289] Loss_D: -0.021309 Loss_G: 0.027030 Loss_D_real: -0.029012 Loss_D_fake -0.007703
[886/5000][215/535][91290] Loss_D: -0.021707 Loss_G: 0.026567 Loss_D_real: -0.034644 Loss_D_fake -0.012937
[886/5000][220/535][91291] Loss_D: -0.023869 Loss_G: 0.005605 Loss_D_real: -0.018763 Loss_D_fake 0.005106
[886/5000][225/535][91292] Loss_D: -0.023971 Loss_G: -0.015537 Loss_D_real: -0.004923 Loss_D_fake 0.019048
[886/5000][230/535][91293] Loss_D: -0.021899 Loss_G: 0.024478 Loss_D_real: -0.027706 Loss_D_fake -0.005807
[886/5000][235/535][91294] Loss_D: -0.024493 Loss_G: 0.010731 Loss_D_real: -0.009194 Loss_D_fake 0.015300
[886/5000][240/535][91295] Loss_D: -0.022907 Loss_G: 0.014678 Loss_D_real: -0.018075 Loss_D_fake 0.004832
[886/5000][245/535][91296] Loss_D: -0.023392 Loss_G: 0.008652 Loss_D_real: -0.017638 Loss_D_fake 0.005754
[886/5000][250/535][91297] Loss_D: -0.023811 Loss_G: 0.023522 Loss_D_real: -0.026624 Loss_D_fake -0.002814
[886/5000][255/535][91298] Loss_D: -0.024054 Loss_G: 0.005480 Loss_D_real: -0.014290 Loss_D_fake 0.009765
[886/5000][260/535][91299] Loss_D: -0.023605 Loss_G: 0.019138 Loss_D_real: -0.028728 Loss_D_fake -0.005123
[886/5000][265/535][91300] Loss_D: -0.023227 Loss_G: 0.011551 Loss_D_real: -0.020590 Loss_D_fake 0.002637
[886/5000][270/535][91301] Loss_D: -0.023694 Loss_G: 0.006093 Loss_D_real: -0.013655 Loss_D_fake 0.010039
[886/5000][275/535][91302] Loss_D: -0.022148 Loss_G: 0.021786 Loss_D_real: -0.030122 Loss_D_fake -0.007974
[886/5000][280/535][91303] Loss_D: -0.023414 Loss_G: -0.010443 Loss_D_real: -0.003479 Loss_D_fake 0.019935
[886/5000][285/535][91304] Loss_D: -0.022531 Loss_G: 0.006291 Loss_D_real: -0.007683 Loss_D_fake 0.014848
[886/5000][290/535][91305] Loss_D: -0.021629 Loss_G: 0.019320 Loss_D_real: -0.028525 Loss_D_fake -0.006895
[886/5000][295/535][91306] Loss_D: -0.023799 Loss_G: -0.003650 Loss_D_real: -0.009689 Loss_D_fake 0.014110
[886/5000][300/535][91307] Loss_D: -0.021881 Loss_G: 0.008693 Loss_D_real: -0.033384 Loss_D_fake -0.011503
[886/5000][305/535][91308] Loss_D: -0.022025 Loss_G: 0.002536 Loss_D_real: -0.011149 Loss_D_fake 0.010876
[886/5000][310/535][91309] Loss_D: -0.022119 Loss_G: 0.019375 Loss_D_real: -0.032496 Loss_D_fake -0.010377
[886/5000][315/535][91310] Loss_D: -0.022490 Loss_G: -0.014685 Loss_D_real: -0.006255 Loss_D_fake 0.016234
[886/5000][320/535][91311] Loss_D: -0.022348 Loss_G: 0.009093 Loss_D_real: -0.018012 Loss_D_fake 0.004337
[886/5000][325/535][91312] Loss_D: -0.023443 Loss_G: -0.000915 Loss_D_real: -0.019834 Loss_D_fake 0.003610
[886/5000][330/535][91313] Loss_D: -0.022668 Loss_G: 0.006991 Loss_D_real: -0.027021 Loss_D_fake -0.004354
[886/5000][335/535][91314] Loss_D: -0.022761 Loss_G: 0.020403 Loss_D_real: -0.022930 Loss_D_fake -0.000169
[886/5000][340/535][91315] Loss_D: -0.022046 Loss_G: -0.012340 Loss_D_real: -0.005530 Loss_D_fake 0.016516
[886/5000][345/535][91316] Loss_D: -0.022614 Loss_G: 0.000883 Loss_D_real: -0.005914 Loss_D_fake 0.016700
[886/5000][350/535][91317] Loss_D: -0.022122 Loss_G: -0.008242 Loss_D_real: -0.011669 Loss_D_fake 0.010453
[886/5000][355/535][91318] Loss_D: -0.022980 Loss_G: -0.004357 Loss_D_real: -0.007639 Loss_D_fake 0.015341
[886/5000][360/535][91319] Loss_D: -0.022293 Loss_G: 0.024487 Loss_D_real: -0.035962 Loss_D_fake -0.013669
[886/5000][365/535][91320] Loss_D: -0.020946 Loss_G: -0.009687 Loss_D_real: -0.010208 Loss_D_fake 0.010738
[886/5000][370/535][91321] Loss_D: -0.022301 Loss_G: -0.001073 Loss_D_real: -0.015550 Loss_D_fake 0.006750
[886/5000][375/535][91322] Loss_D: -0.022060 Loss_G: 0.000609 Loss_D_real: -0.014741 Loss_D_fake 0.007319
[886/5000][380/535][91323] Loss_D: -0.021987 Loss_G: -0.007351 Loss_D_real: -0.001032 Loss_D_fake 0.020956
[886/5000][385/535][91324] Loss_D: -0.021763 Loss_G: 0.022022 Loss_D_real: -0.026722 Loss_D_fake -0.004959
[886/5000][390/535][91325] Loss_D: -0.022507 Loss_G: -0.013280 Loss_D_real: -0.017418 Loss_D_fake 0.005089
[886/5000][395/535][91326] Loss_D: -0.023626 Loss_G: 0.015089 Loss_D_real: -0.028854 Loss_D_fake -0.005227
[886/5000][400/535][91327] Loss_D: -0.022834 Loss_G: 0.013623 Loss_D_real: -0.032979 Loss_D_fake -0.010145
[886/5000][405/535][91328] Loss_D: -0.023863 Loss_G: 0.001849 Loss_D_real: -0.009021 Loss_D_fake 0.014842
[886/5000][410/535][91329] Loss_D: -0.021938 Loss_G: -0.008466 Loss_D_real: -0.008336 Loss_D_fake 0.013602
[886/5000][415/535][91330] Loss_D: -0.022166 Loss_G: -0.000992 Loss_D_real: -0.013247 Loss_D_fake 0.008919
[886/5000][420/535][91331] Loss_D: -0.021861 Loss_G: 0.018953 Loss_D_real: -0.025427 Loss_D_fake -0.003566
[886/5000][425/535][91332] Loss_D: -0.022762 Loss_G: 0.020770 Loss_D_real: -0.024050 Loss_D_fake -0.001288
[886/5000][430/535][91333] Loss_D: -0.023444 Loss_G: 0.006077 Loss_D_real: -0.029102 Loss_D_fake -0.005658
[886/5000][435/535][91334] Loss_D: -0.023920 Loss_G: -0.000026 Loss_D_real: -0.023555 Loss_D_fake 0.000366
[886/5000][440/535][91335] Loss_D: -0.022246 Loss_G: 0.012866 Loss_D_real: -0.027852 Loss_D_fake -0.005605
[886/5000][445/535][91336] Loss_D: -0.023043 Loss_G: 0.018797 Loss_D_real: -0.025710 Loss_D_fake -0.002667
[886/5000][450/535][91337] Loss_D: -0.023054 Loss_G: 0.008758 Loss_D_real: -0.014177 Loss_D_fake 0.008877
[886/5000][455/535][91338] Loss_D: -0.022825 Loss_G: -0.006208 Loss_D_real: -0.003224 Loss_D_fake 0.019601
[886/5000][460/535][91339] Loss_D: -0.022446 Loss_G: 0.009672 Loss_D_real: -0.022943 Loss_D_fake -0.000497
[886/5000][465/535][91340] Loss_D: -0.023657 Loss_G: -0.003881 Loss_D_real: -0.010111 Loss_D_fake 0.013547
[886/5000][470/535][91341] Loss_D: -0.023160 Loss_G: 0.017931 Loss_D_real: -0.020811 Loss_D_fake 0.002349
[886/5000][475/535][91342] Loss_D: -0.022853 Loss_G: 0.015725 Loss_D_real: -0.025083 Loss_D_fake -0.002230
[886/5000][480/535][91343] Loss_D: -0.022834 Loss_G: -0.000129 Loss_D_real: -0.011570 Loss_D_fake 0.011264
[886/5000][485/535][91344] Loss_D: -0.022330 Loss_G: 0.018427 Loss_D_real: -0.032834 Loss_D_fake -0.010504
[886/5000][490/535][91345] Loss_D: -0.024074 Loss_G: 0.014615 Loss_D_real: -0.018904 Loss_D_fake 0.005169
[886/5000][495/535][91346] Loss_D: -0.023622 Loss_G: 0.011823 Loss_D_real: -0.034403 Loss_D_fake -0.010782
[886/5000][500/535][91347] Loss_D: -0.023522 Loss_G: 0.019569 Loss_D_real: -0.025023 Loss_D_fake -0.001500
[886/5000][505/535][91348] Loss_D: -0.020968 Loss_G: 0.028711 Loss_D_real: -0.042723 Loss_D_fake -0.021755
[886/5000][510/535][91349] Loss_D: -0.023127 Loss_G: -0.002064 Loss_D_real: -0.013524 Loss_D_fake 0.009602
[886/5000][515/535][91350] Loss_D: -0.022820 Loss_G: 0.008977 Loss_D_real: -0.015637 Loss_D_fake 0.007183
[886/5000][520/535][91351] Loss_D: -0.023954 Loss_G: 0.016551 Loss_D_real: -0.019017 Loss_D_fake 0.004937
[886/5000][525/535][91352] Loss_D: -0.022908 Loss_G: 0.004841 Loss_D_real: -0.017155 Loss_D_fake 0.005754
[886/5000][530/535][91353] Loss_D: -0.022728 Loss_G: 0.019739 Loss_D_real: -0.020528 Loss_D_fake 0.002200
[886/5000][535/535][91354] Loss_D: -0.026294 Loss_G: 0.008777 Loss_D_real: -0.008706 Loss_D_fake 0.017588
[887/5000][5/535][91355] Loss_D: -0.022685 Loss_G: -0.010733 Loss_D_real: -0.007312 Loss_D_fake 0.015373
[887/5000][10/535][91356] Loss_D: -0.021524 Loss_G: 0.014008 Loss_D_real: -0.028939 Loss_D_fake -0.007415
[887/5000][15/535][91357] Loss_D: -0.023130 Loss_G: 0.001616 Loss_D_real: -0.021233 Loss_D_fake 0.001897
[887/5000][20/535][91358] Loss_D: -0.022628 Loss_G: -0.009456 Loss_D_real: -0.000473 Loss_D_fake 0.022155
[887/5000][25/535][91359] Loss_D: -0.022309 Loss_G: -0.007097 Loss_D_real: -0.006775 Loss_D_fake 0.015535
[887/5000][30/535][91360] Loss_D: -0.022789 Loss_G: 0.017800 Loss_D_real: -0.030452 Loss_D_fake -0.007663
[887/5000][35/535][91361] Loss_D: -0.022446 Loss_G: 0.010359 Loss_D_real: -0.014867 Loss_D_fake 0.007579
[887/5000][40/535][91362] Loss_D: -0.023398 Loss_G: 0.010325 Loss_D_real: -0.017970 Loss_D_fake 0.005428
[887/5000][45/535][91363] Loss_D: -0.022277 Loss_G: 0.017810 Loss_D_real: -0.022639 Loss_D_fake -0.000362
[887/5000][50/535][91364] Loss_D: -0.022811 Loss_G: 0.030263 Loss_D_real: -0.033762 Loss_D_fake -0.010951
[887/5000][55/535][91365] Loss_D: -0.024027 Loss_G: -0.004135 Loss_D_real: -0.012432 Loss_D_fake 0.011594
[887/5000][60/535][91366] Loss_D: -0.022146 Loss_G: 0.006751 Loss_D_real: -0.023983 Loss_D_fake -0.001836
[887/5000][65/535][91367] Loss_D: -0.022279 Loss_G: 0.007217 Loss_D_real: -0.017728 Loss_D_fake 0.004551
[887/5000][70/535][91368] Loss_D: -0.023933 Loss_G: 0.010686 Loss_D_real: -0.007307 Loss_D_fake 0.016625
[887/5000][75/535][91369] Loss_D: -0.021720 Loss_G: 0.007431 Loss_D_real: -0.020472 Loss_D_fake 0.001248
[887/5000][80/535][91370] Loss_D: -0.023694 Loss_G: 0.004118 Loss_D_real: -0.022373 Loss_D_fake 0.001322
[887/5000][85/535][91371] Loss_D: -0.023600 Loss_G: 0.008770 Loss_D_real: -0.010653 Loss_D_fake 0.012947
[887/5000][90/535][91372] Loss_D: -0.022624 Loss_G: -0.011263 Loss_D_real: -0.007148 Loss_D_fake 0.015477
[887/5000][95/535][91373] Loss_D: -0.022585 Loss_G: 0.014302 Loss_D_real: -0.014852 Loss_D_fake 0.007733
[887/5000][100/535][91374] Loss_D: -0.022242 Loss_G: 0.021675 Loss_D_real: -0.027274 Loss_D_fake -0.005033
[887/5000][105/535][91375] Loss_D: -0.022827 Loss_G: 0.008283 Loss_D_real: -0.016761 Loss_D_fake 0.006066
[887/5000][110/535][91376] Loss_D: -0.021285 Loss_G: 0.025140 Loss_D_real: -0.031282 Loss_D_fake -0.009997
[887/5000][115/535][91377] Loss_D: -0.024134 Loss_G: 0.002454 Loss_D_real: -0.031402 Loss_D_fake -0.007268
[887/5000][120/535][91378] Loss_D: -0.022045 Loss_G: 0.020314 Loss_D_real: -0.023307 Loss_D_fake -0.001262
[887/5000][125/535][91379] Loss_D: -0.022372 Loss_G: 0.001764 Loss_D_real: -0.023288 Loss_D_fake -0.000916
[887/5000][130/535][91380] Loss_D: -0.023249 Loss_G: 0.017393 Loss_D_real: -0.024286 Loss_D_fake -0.001037
[887/5000][135/535][91381] Loss_D: -0.022803 Loss_G: 0.011028 Loss_D_real: -0.017621 Loss_D_fake 0.005182
[887/5000][140/535][91382] Loss_D: -0.022933 Loss_G: -0.006063 Loss_D_real: -0.023657 Loss_D_fake -0.000724
[887/5000][145/535][91383] Loss_D: -0.023187 Loss_G: -0.003850 Loss_D_real: -0.013720 Loss_D_fake 0.009466
[887/5000][150/535][91384] Loss_D: -0.021658 Loss_G: 0.013786 Loss_D_real: -0.017893 Loss_D_fake 0.003765
[887/5000][155/535][91385] Loss_D: -0.021271 Loss_G: 0.013092 Loss_D_real: -0.020504 Loss_D_fake 0.000767
[887/5000][160/535][91386] Loss_D: -0.022916 Loss_G: 0.015472 Loss_D_real: -0.029488 Loss_D_fake -0.006572
[887/5000][165/535][91387] Loss_D: -0.021844 Loss_G: 0.018400 Loss_D_real: -0.025480 Loss_D_fake -0.003636
[887/5000][170/535][91388] Loss_D: -0.021712 Loss_G: -0.006992 Loss_D_real: -0.009550 Loss_D_fake 0.012161
[887/5000][175/535][91389] Loss_D: -0.021945 Loss_G: 0.001792 Loss_D_real: -0.015974 Loss_D_fake 0.005971
[887/5000][180/535][91390] Loss_D: -0.021553 Loss_G: -0.001144 Loss_D_real: -0.010261 Loss_D_fake 0.011292
[887/5000][185/535][91391] Loss_D: -0.023076 Loss_G: 0.016718 Loss_D_real: -0.023223 Loss_D_fake -0.000148
[887/5000][190/535][91392] Loss_D: -0.022341 Loss_G: 0.011539 Loss_D_real: -0.028592 Loss_D_fake -0.006251
[887/5000][195/535][91393] Loss_D: -0.022591 Loss_G: 0.001821 Loss_D_real: -0.028347 Loss_D_fake -0.005755
[887/5000][200/535][91394] Loss_D: -0.022717 Loss_G: 0.005768 Loss_D_real: -0.016528 Loss_D_fake 0.006189
[887/5000][205/535][91395] Loss_D: -0.021742 Loss_G: 0.011621 Loss_D_real: -0.017658 Loss_D_fake 0.004085
[887/5000][210/535][91396] Loss_D: -0.021707 Loss_G: 0.027334 Loss_D_real: -0.027116 Loss_D_fake -0.005408
[887/5000][215/535][91397] Loss_D: -0.022246 Loss_G: 0.016726 Loss_D_real: -0.025544 Loss_D_fake -0.003298
[887/5000][220/535][91398] Loss_D: -0.022046 Loss_G: 0.006152 Loss_D_real: -0.030189 Loss_D_fake -0.008143
[887/5000][225/535][91399] Loss_D: -0.020688 Loss_G: 0.024719 Loss_D_real: -0.048578 Loss_D_fake -0.027890
[887/5000][230/535][91400] Loss_D: -0.022368 Loss_G: -0.006615 Loss_D_real: -0.009026 Loss_D_fake 0.013342
[887/5000][235/535][91401] Loss_D: -0.023616 Loss_G: 0.019459 Loss_D_real: -0.025008 Loss_D_fake -0.001392
[887/5000][240/535][91402] Loss_D: -0.023598 Loss_G: 0.010215 Loss_D_real: -0.013839 Loss_D_fake 0.009759
[887/5000][245/535][91403] Loss_D: -0.024309 Loss_G: 0.013035 Loss_D_real: -0.020062 Loss_D_fake 0.004247
[887/5000][250/535][91404] Loss_D: -0.024200 Loss_G: 0.008488 Loss_D_real: -0.016416 Loss_D_fake 0.007784
[887/5000][255/535][91405] Loss_D: -0.022269 Loss_G: 0.008518 Loss_D_real: -0.019968 Loss_D_fake 0.002302
[887/5000][260/535][91406] Loss_D: -0.021122 Loss_G: 0.038226 Loss_D_real: -0.039451 Loss_D_fake -0.018329
[887/5000][265/535][91407] Loss_D: -0.021625 Loss_G: 0.023843 Loss_D_real: -0.038848 Loss_D_fake -0.017223
[887/5000][270/535][91408] Loss_D: -0.023025 Loss_G: -0.009376 Loss_D_real: -0.012484 Loss_D_fake 0.010541
[887/5000][275/535][91409] Loss_D: -0.023813 Loss_G: 0.008846 Loss_D_real: -0.015899 Loss_D_fake 0.007913
[887/5000][280/535][91410] Loss_D: -0.022536 Loss_G: 0.005221 Loss_D_real: -0.017575 Loss_D_fake 0.004961
[887/5000][285/535][91411] Loss_D: -0.024529 Loss_G: 0.010570 Loss_D_real: -0.021546 Loss_D_fake 0.002983
[887/5000][290/535][91412] Loss_D: -0.022510 Loss_G: 0.003424 Loss_D_real: -0.013205 Loss_D_fake 0.009305
[887/5000][295/535][91413] Loss_D: -0.023786 Loss_G: 0.020229 Loss_D_real: -0.015531 Loss_D_fake 0.008255
[887/5000][300/535][91414] Loss_D: -0.021297 Loss_G: 0.033833 Loss_D_real: -0.030797 Loss_D_fake -0.009501
[887/5000][305/535][91415] Loss_D: -0.022245 Loss_G: 0.017341 Loss_D_real: -0.029619 Loss_D_fake -0.007373
[887/5000][310/535][91416] Loss_D: -0.021972 Loss_G: -0.017709 Loss_D_real: 0.003325 Loss_D_fake 0.025297
[887/5000][315/535][91417] Loss_D: -0.021879 Loss_G: 0.010978 Loss_D_real: -0.016732 Loss_D_fake 0.005147
[887/5000][320/535][91418] Loss_D: -0.022154 Loss_G: 0.001573 Loss_D_real: -0.022998 Loss_D_fake -0.000844
[887/5000][325/535][91419] Loss_D: -0.021314 Loss_G: 0.010302 Loss_D_real: -0.019835 Loss_D_fake 0.001479
[887/5000][330/535][91420] Loss_D: -0.021568 Loss_G: 0.017176 Loss_D_real: -0.025646 Loss_D_fake -0.004078
[887/5000][335/535][91421] Loss_D: -0.021700 Loss_G: 0.000523 Loss_D_real: -0.016764 Loss_D_fake 0.004936
[887/5000][340/535][91422] Loss_D: -0.020938 Loss_G: 0.019951 Loss_D_real: -0.028698 Loss_D_fake -0.007760
[887/5000][345/535][91423] Loss_D: -0.021422 Loss_G: 0.010760 Loss_D_real: -0.023294 Loss_D_fake -0.001872
[887/5000][350/535][91424] Loss_D: -0.022840 Loss_G: 0.004622 Loss_D_real: -0.014109 Loss_D_fake 0.008732
[887/5000][355/535][91425] Loss_D: -0.021304 Loss_G: -0.010820 Loss_D_real: -0.004674 Loss_D_fake 0.016630
[887/5000][360/535][91426] Loss_D: -0.021619 Loss_G: -0.008920 Loss_D_real: -0.012002 Loss_D_fake 0.009617
[887/5000][365/535][91427] Loss_D: -0.020998 Loss_G: 0.008711 Loss_D_real: -0.007411 Loss_D_fake 0.013587
[887/5000][370/535][91428] Loss_D: -0.021980 Loss_G: 0.018611 Loss_D_real: -0.028388 Loss_D_fake -0.006408
[887/5000][375/535][91429] Loss_D: -0.022347 Loss_G: -0.004117 Loss_D_real: -0.000164 Loss_D_fake 0.022183
[887/5000][380/535][91430] Loss_D: -0.023675 Loss_G: 0.022893 Loss_D_real: -0.024940 Loss_D_fake -0.001266
[887/5000][385/535][91431] Loss_D: -0.023619 Loss_G: -0.004239 Loss_D_real: -0.010107 Loss_D_fake 0.013512
[887/5000][390/535][91432] Loss_D: -0.022265 Loss_G: 0.027656 Loss_D_real: -0.032530 Loss_D_fake -0.010265
[887/5000][395/535][91433] Loss_D: -0.022235 Loss_G: -0.013160 Loss_D_real: -0.002711 Loss_D_fake 0.019524
[887/5000][400/535][91434] Loss_D: -0.023033 Loss_G: -0.003423 Loss_D_real: -0.008248 Loss_D_fake 0.014784
[887/5000][405/535][91435] Loss_D: -0.022711 Loss_G: 0.029014 Loss_D_real: -0.037623 Loss_D_fake -0.014912
[887/5000][410/535][91436] Loss_D: -0.023468 Loss_G: -0.001400 Loss_D_real: -0.020085 Loss_D_fake 0.003383
[887/5000][415/535][91437] Loss_D: -0.024910 Loss_G: 0.017316 Loss_D_real: -0.017358 Loss_D_fake 0.007552
[887/5000][420/535][91438] Loss_D: -0.023955 Loss_G: 0.019693 Loss_D_real: -0.029529 Loss_D_fake -0.005575
[887/5000][425/535][91439] Loss_D: -0.024316 Loss_G: -0.011233 Loss_D_real: -0.005219 Loss_D_fake 0.019096
[887/5000][430/535][91440] Loss_D: -0.022948 Loss_G: 0.015088 Loss_D_real: -0.027667 Loss_D_fake -0.004719
[887/5000][435/535][91441] Loss_D: -0.023785 Loss_G: -0.004316 Loss_D_real: -0.016490 Loss_D_fake 0.007295
[887/5000][440/535][91442] Loss_D: -0.022650 Loss_G: 0.005179 Loss_D_real: -0.014526 Loss_D_fake 0.008124
[887/5000][445/535][91443] Loss_D: -0.022191 Loss_G: 0.033943 Loss_D_real: -0.027781 Loss_D_fake -0.005590
[887/5000][450/535][91444] Loss_D: -0.021758 Loss_G: -0.003919 Loss_D_real: -0.008886 Loss_D_fake 0.012872
[887/5000][455/535][91445] Loss_D: -0.023889 Loss_G: 0.017424 Loss_D_real: -0.018658 Loss_D_fake 0.005231
[887/5000][460/535][91446] Loss_D: -0.021797 Loss_G: 0.007060 Loss_D_real: -0.021580 Loss_D_fake 0.000217
[887/5000][465/535][91447] Loss_D: -0.023509 Loss_G: -0.004511 Loss_D_real: -0.020213 Loss_D_fake 0.003296
[887/5000][470/535][91448] Loss_D: -0.022669 Loss_G: -0.001182 Loss_D_real: -0.001127 Loss_D_fake 0.021542
[887/5000][475/535][91449] Loss_D: -0.022349 Loss_G: 0.022670 Loss_D_real: -0.026695 Loss_D_fake -0.004346
[887/5000][480/535][91450] Loss_D: -0.023638 Loss_G: 0.000102 Loss_D_real: -0.011875 Loss_D_fake 0.011763
[887/5000][485/535][91451] Loss_D: -0.022133 Loss_G: -0.009933 Loss_D_real: -0.001075 Loss_D_fake 0.021057
[887/5000][490/535][91452] Loss_D: -0.022116 Loss_G: 0.000140 Loss_D_real: -0.023124 Loss_D_fake -0.001008
[887/5000][495/535][91453] Loss_D: -0.022447 Loss_G: 0.009461 Loss_D_real: -0.025605 Loss_D_fake -0.003158
[887/5000][500/535][91454] Loss_D: -0.024258 Loss_G: 0.003311 Loss_D_real: -0.016832 Loss_D_fake 0.007427
[887/5000][505/535][91455] Loss_D: -0.023745 Loss_G: 0.010337 Loss_D_real: -0.011564 Loss_D_fake 0.012181
[887/5000][510/535][91456] Loss_D: -0.022081 Loss_G: 0.009477 Loss_D_real: -0.020642 Loss_D_fake 0.001440
[887/5000][515/535][91457] Loss_D: -0.022420 Loss_G: 0.029607 Loss_D_real: -0.022003 Loss_D_fake 0.000417
[887/5000][520/535][91458] Loss_D: -0.022244 Loss_G: -0.011167 Loss_D_real: -0.006442 Loss_D_fake 0.015802
[887/5000][525/535][91459] Loss_D: -0.022423 Loss_G: 0.003838 Loss_D_real: -0.014512 Loss_D_fake 0.007912
[887/5000][530/535][91460] Loss_D: -0.022190 Loss_G: -0.005242 Loss_D_real: -0.008468 Loss_D_fake 0.013722
[887/5000][535/535][91461] Loss_D: -0.021827 Loss_G: 0.018712 Loss_D_real: -0.007197 Loss_D_fake 0.014631
[888/5000][5/535][91462] Loss_D: -0.022831 Loss_G: 0.020217 Loss_D_real: -0.026858 Loss_D_fake -0.004027
[888/5000][10/535][91463] Loss_D: -0.021890 Loss_G: 0.000498 Loss_D_real: -0.011475 Loss_D_fake 0.010414
[888/5000][15/535][91464] Loss_D: -0.021735 Loss_G: 0.018332 Loss_D_real: -0.019036 Loss_D_fake 0.002699
[888/5000][20/535][91465] Loss_D: -0.024328 Loss_G: 0.007305 Loss_D_real: -0.025814 Loss_D_fake -0.001487
[888/5000][25/535][91466] Loss_D: -0.023267 Loss_G: 0.027603 Loss_D_real: -0.037167 Loss_D_fake -0.013900
[888/5000][30/535][91467] Loss_D: -0.022664 Loss_G: 0.009795 Loss_D_real: -0.018778 Loss_D_fake 0.003886
[888/5000][35/535][91468] Loss_D: -0.023812 Loss_G: -0.001253 Loss_D_real: -0.010229 Loss_D_fake 0.013583
[888/5000][40/535][91469] Loss_D: -0.022178 Loss_G: 0.000340 Loss_D_real: -0.009286 Loss_D_fake 0.012892
[888/5000][45/535][91470] Loss_D: -0.022041 Loss_G: -0.013414 Loss_D_real: -0.001581 Loss_D_fake 0.020460
[888/5000][50/535][91471] Loss_D: -0.021856 Loss_G: 0.005703 Loss_D_real: -0.015845 Loss_D_fake 0.006011
[888/5000][55/535][91472] Loss_D: -0.022714 Loss_G: -0.011741 Loss_D_real: -0.003732 Loss_D_fake 0.018982
[888/5000][60/535][91473] Loss_D: -0.022449 Loss_G: 0.003125 Loss_D_real: 0.001534 Loss_D_fake 0.023984
[888/5000][65/535][91474] Loss_D: -0.021560 Loss_G: 0.004714 Loss_D_real: -0.017924 Loss_D_fake 0.003636
[888/5000][70/535][91475] Loss_D: -0.024134 Loss_G: 0.009822 Loss_D_real: -0.020451 Loss_D_fake 0.003684
[888/5000][75/535][91476] Loss_D: -0.023018 Loss_G: 0.015898 Loss_D_real: -0.024324 Loss_D_fake -0.001306
[888/5000][80/535][91477] Loss_D: -0.023810 Loss_G: 0.006377 Loss_D_real: -0.015465 Loss_D_fake 0.008345
[888/5000][85/535][91478] Loss_D: -0.022286 Loss_G: 0.023562 Loss_D_real: -0.027748 Loss_D_fake -0.005462
[888/5000][90/535][91479] Loss_D: -0.023419 Loss_G: 0.017335 Loss_D_real: -0.025694 Loss_D_fake -0.002275
[888/5000][95/535][91480] Loss_D: -0.024050 Loss_G: 0.009041 Loss_D_real: -0.026657 Loss_D_fake -0.002607
[888/5000][100/535][91481] Loss_D: -0.022730 Loss_G: 0.007554 Loss_D_real: -0.013252 Loss_D_fake 0.009478
[888/5000][105/535][91482] Loss_D: -0.020695 Loss_G: 0.027444 Loss_D_real: -0.033058 Loss_D_fake -0.012362
[888/5000][110/535][91483] Loss_D: -0.022255 Loss_G: -0.017721 Loss_D_real: -0.000790 Loss_D_fake 0.021465
[888/5000][115/535][91484] Loss_D: -0.021840 Loss_G: 0.008591 Loss_D_real: -0.025673 Loss_D_fake -0.003833
[888/5000][120/535][91485] Loss_D: -0.022325 Loss_G: 0.001163 Loss_D_real: -0.021568 Loss_D_fake 0.000758
[888/5000][125/535][91486] Loss_D: -0.021231 Loss_G: 0.030617 Loss_D_real: -0.038296 Loss_D_fake -0.017065
[888/5000][130/535][91487] Loss_D: -0.023698 Loss_G: 0.002160 Loss_D_real: -0.014837 Loss_D_fake 0.008862
[888/5000][135/535][91488] Loss_D: -0.021611 Loss_G: 0.028274 Loss_D_real: -0.025455 Loss_D_fake -0.003844
[888/5000][140/535][91489] Loss_D: -0.022340 Loss_G: 0.004196 Loss_D_real: -0.009443 Loss_D_fake 0.012897
[888/5000][145/535][91490] Loss_D: -0.022584 Loss_G: -0.008328 Loss_D_real: -0.012899 Loss_D_fake 0.009685
[888/5000][150/535][91491] Loss_D: -0.023152 Loss_G: -0.000454 Loss_D_real: -0.015013 Loss_D_fake 0.008139
[888/5000][155/535][91492] Loss_D: -0.023291 Loss_G: 0.007118 Loss_D_real: -0.010993 Loss_D_fake 0.012299
[888/5000][160/535][91493] Loss_D: -0.022495 Loss_G: -0.003759 Loss_D_real: -0.004769 Loss_D_fake 0.017726
[888/5000][165/535][91494] Loss_D: -0.022103 Loss_G: 0.002497 Loss_D_real: -0.020635 Loss_D_fake 0.001468
[888/5000][170/535][91495] Loss_D: -0.021245 Loss_G: 0.030488 Loss_D_real: -0.034787 Loss_D_fake -0.013541
[888/5000][175/535][91496] Loss_D: -0.023108 Loss_G: 0.007509 Loss_D_real: -0.021521 Loss_D_fake 0.001587
[888/5000][180/535][91497] Loss_D: -0.022452 Loss_G: 0.009209 Loss_D_real: -0.009531 Loss_D_fake 0.012921
[888/5000][185/535][91498] Loss_D: -0.023394 Loss_G: 0.004908 Loss_D_real: -0.023067 Loss_D_fake 0.000326
[888/5000][190/535][91499] Loss_D: -0.022830 Loss_G: -0.000182 Loss_D_real: -0.016835 Loss_D_fake 0.005995
[888/5000][195/535][91500] Loss_D: -0.022560 Loss_G: -0.008782 Loss_D_real: -0.007883 Loss_D_fake 0.014677
[888/5000][295/535][91501] Loss_D: -0.024846 Loss_G: 0.013088 Loss_D_real: -0.017662 Loss_D_fake 0.007184
[888/5000][300/535][91502] Loss_D: -0.022638 Loss_G: 0.026673 Loss_D_real: -0.030540 Loss_D_fake -0.007902
[888/5000][305/535][91503] Loss_D: -0.020670 Loss_G: -0.000757 Loss_D_real: -0.020821 Loss_D_fake -0.000150
[888/5000][310/535][91504] Loss_D: -0.019867 Loss_G: 0.005088 Loss_D_real: -0.016255 Loss_D_fake 0.003612
[888/5000][315/535][91505] Loss_D: -0.020906 Loss_G: 0.001581 Loss_D_real: -0.011077 Loss_D_fake 0.009829
[888/5000][320/535][91506] Loss_D: -0.022992 Loss_G: -0.003815 Loss_D_real: -0.014768 Loss_D_fake 0.008224
[888/5000][325/535][91507] Loss_D: -0.022167 Loss_G: -0.003965 Loss_D_real: -0.019523 Loss_D_fake 0.002644
[888/5000][330/535][91508] Loss_D: -0.023143 Loss_G: 0.018832 Loss_D_real: -0.026677 Loss_D_fake -0.003534
[888/5000][335/535][91509] Loss_D: -0.022085 Loss_G: 0.020274 Loss_D_real: -0.028171 Loss_D_fake -0.006086
[888/5000][340/535][91510] Loss_D: -0.022177 Loss_G: -0.001160 Loss_D_real: -0.007735 Loss_D_fake 0.014443
[888/5000][345/535][91511] Loss_D: -0.022689 Loss_G: 0.003096 Loss_D_real: -0.018836 Loss_D_fake 0.003853
[888/5000][350/535][91512] Loss_D: -0.022983 Loss_G: 0.016825 Loss_D_real: -0.016996 Loss_D_fake 0.005987
[888/5000][355/535][91513] Loss_D: -0.021085 Loss_G: -0.009632 Loss_D_real: -0.001624 Loss_D_fake 0.019461
[888/5000][360/535][91514] Loss_D: -0.022143 Loss_G: 0.022340 Loss_D_real: -0.024444 Loss_D_fake -0.002301
[888/5000][365/535][91515] Loss_D: -0.022960 Loss_G: -0.008188 Loss_D_real: -0.005551 Loss_D_fake 0.017409
[888/5000][370/535][91516] Loss_D: -0.022018 Loss_G: -0.004224 Loss_D_real: -0.013439 Loss_D_fake 0.008580
[888/5000][375/535][91517] Loss_D: -0.020892 Loss_G: 0.003838 Loss_D_real: -0.019845 Loss_D_fake 0.001047
[888/5000][380/535][91518] Loss_D: -0.022285 Loss_G: 0.015346 Loss_D_real: -0.020858 Loss_D_fake 0.001427
[888/5000][385/535][91519] Loss_D: -0.021230 Loss_G: -0.008318 Loss_D_real: -0.004038 Loss_D_fake 0.017192
[888/5000][390/535][91520] Loss_D: -0.022821 Loss_G: 0.002220 Loss_D_real: -0.015295 Loss_D_fake 0.007526
[888/5000][395/535][91521] Loss_D: -0.023430 Loss_G: 0.010998 Loss_D_real: -0.020096 Loss_D_fake 0.003334
[888/5000][400/535][91522] Loss_D: -0.021530 Loss_G: 0.004856 Loss_D_real: -0.009783 Loss_D_fake 0.011747
[888/5000][405/535][91523] Loss_D: -0.022951 Loss_G: 0.019948 Loss_D_real: -0.024452 Loss_D_fake -0.001501
[888/5000][410/535][91524] Loss_D: -0.022830 Loss_G: 0.002193 Loss_D_real: -0.010760 Loss_D_fake 0.012070
[888/5000][415/535][91525] Loss_D: -0.021072 Loss_G: 0.031274 Loss_D_real: -0.031557 Loss_D_fake -0.010485
[888/5000][420/535][91526] Loss_D: -0.022656 Loss_G: 0.000566 Loss_D_real: -0.001621 Loss_D_fake 0.021035
[888/5000][425/535][91527] Loss_D: -0.021944 Loss_G: 0.001237 Loss_D_real: -0.013340 Loss_D_fake 0.008603
[888/5000][430/535][91528] Loss_D: -0.021900 Loss_G: 0.007170 Loss_D_real: -0.015378 Loss_D_fake 0.006522
[888/5000][435/535][91529] Loss_D: -0.022892 Loss_G: -0.000029 Loss_D_real: -0.007440 Loss_D_fake 0.015452
[888/5000][440/535][91530] Loss_D: -0.021694 Loss_G: -0.006073 Loss_D_real: -0.021395 Loss_D_fake 0.000299
[888/5000][445/535][91531] Loss_D: -0.022652 Loss_G: 0.011588 Loss_D_real: -0.021967 Loss_D_fake 0.000686
[888/5000][450/535][91532] Loss_D: -0.020329 Loss_G: 0.024462 Loss_D_real: -0.034748 Loss_D_fake -0.014418
[888/5000][455/535][91533] Loss_D: -0.021995 Loss_G: 0.012137 Loss_D_real: -0.030552 Loss_D_fake -0.008558
[888/5000][460/535][91534] Loss_D: -0.021804 Loss_G: 0.011579 Loss_D_real: -0.018281 Loss_D_fake 0.003523
[888/5000][465/535][91535] Loss_D: -0.022170 Loss_G: 0.008633 Loss_D_real: -0.027140 Loss_D_fake -0.004970
[888/5000][470/535][91536] Loss_D: -0.022310 Loss_G: -0.002823 Loss_D_real: -0.016808 Loss_D_fake 0.005502
[888/5000][475/535][91537] Loss_D: -0.020903 Loss_G: -0.002510 Loss_D_real: -0.001324 Loss_D_fake 0.019579
[888/5000][480/535][91538] Loss_D: -0.022267 Loss_G: 0.006784 Loss_D_real: -0.020182 Loss_D_fake 0.002085
[888/5000][485/535][91539] Loss_D: -0.022439 Loss_G: 0.007186 Loss_D_real: -0.018676 Loss_D_fake 0.003763
[888/5000][490/535][91540] Loss_D: -0.022022 Loss_G: 0.032046 Loss_D_real: -0.027944 Loss_D_fake -0.005922
[888/5000][495/535][91541] Loss_D: -0.022107 Loss_G: 0.000749 Loss_D_real: -0.018378 Loss_D_fake 0.003729
[888/5000][500/535][91542] Loss_D: -0.021146 Loss_G: -0.008934 Loss_D_real: -0.011126 Loss_D_fake 0.010020
[888/5000][505/535][91543] Loss_D: -0.022594 Loss_G: -0.002145 Loss_D_real: -0.023497 Loss_D_fake -0.000903
[888/5000][510/535][91544] Loss_D: -0.021010 Loss_G: -0.006351 Loss_D_real: 0.000913 Loss_D_fake 0.021923
[888/5000][515/535][91545] Loss_D: -0.022124 Loss_G: 0.019638 Loss_D_real: -0.022904 Loss_D_fake -0.000780
[888/5000][520/535][91546] Loss_D: -0.021656 Loss_G: -0.003085 Loss_D_real: -0.013066 Loss_D_fake 0.008590
[888/5000][525/535][91547] Loss_D: -0.022232 Loss_G: -0.004145 Loss_D_real: -0.026543 Loss_D_fake -0.004311
[888/5000][530/535][91548] Loss_D: -0.024073 Loss_G: 0.008106 Loss_D_real: -0.020033 Loss_D_fake 0.004041
[888/5000][535/535][91549] Loss_D: -0.023313 Loss_G: 0.007586 Loss_D_real: -0.034413 Loss_D_fake -0.011100
[889/5000][5/535][91550] Loss_D: -0.023477 Loss_G: 0.023489 Loss_D_real: -0.019285 Loss_D_fake 0.004192
[889/5000][10/535][91551] Loss_D: -0.022179 Loss_G: -0.003348 Loss_D_real: -0.016232 Loss_D_fake 0.005947
[889/5000][15/535][91552] Loss_D: -0.023034 Loss_G: 0.010144 Loss_D_real: -0.022748 Loss_D_fake 0.000286
[889/5000][20/535][91553] Loss_D: -0.022395 Loss_G: 0.002872 Loss_D_real: -0.018583 Loss_D_fake 0.003812
[889/5000][25/535][91554] Loss_D: -0.024522 Loss_G: -0.001993 Loss_D_real: -0.018248 Loss_D_fake 0.006274
[889/5000][30/535][91555] Loss_D: -0.021344 Loss_G: 0.024408 Loss_D_real: -0.039053 Loss_D_fake -0.017709
[889/5000][35/535][91556] Loss_D: -0.023733 Loss_G: 0.001352 Loss_D_real: -0.004725 Loss_D_fake 0.019008
[889/5000][40/535][91557] Loss_D: -0.023255 Loss_G: 0.017553 Loss_D_real: -0.018957 Loss_D_fake 0.004298
[889/5000][45/535][91558] Loss_D: -0.022411 Loss_G: -0.003616 Loss_D_real: -0.006675 Loss_D_fake 0.015736
[889/5000][50/535][91559] Loss_D: -0.021038 Loss_G: 0.015432 Loss_D_real: -0.025191 Loss_D_fake -0.004153
[889/5000][55/535][91560] Loss_D: -0.022674 Loss_G: 0.015004 Loss_D_real: -0.023785 Loss_D_fake -0.001112
[889/5000][60/535][91561] Loss_D: -0.022130 Loss_G: 0.017684 Loss_D_real: -0.033224 Loss_D_fake -0.011095
[889/5000][65/535][91562] Loss_D: -0.022504 Loss_G: 0.012624 Loss_D_real: -0.033796 Loss_D_fake -0.011292
[889/5000][70/535][91563] Loss_D: -0.023318 Loss_G: 0.010460 Loss_D_real: -0.025859 Loss_D_fake -0.002541
[889/5000][75/535][91564] Loss_D: -0.023682 Loss_G: 0.020877 Loss_D_real: -0.024364 Loss_D_fake -0.000681
[889/5000][80/535][91565] Loss_D: -0.020646 Loss_G: 0.015959 Loss_D_real: -0.025876 Loss_D_fake -0.005229
[889/5000][85/535][91566] Loss_D: -0.023325 Loss_G: 0.006972 Loss_D_real: -0.022799 Loss_D_fake 0.000526
[889/5000][90/535][91567] Loss_D: -0.023317 Loss_G: 0.011438 Loss_D_real: -0.022569 Loss_D_fake 0.000748
[889/5000][95/535][91568] Loss_D: -0.022723 Loss_G: 0.015879 Loss_D_real: -0.028150 Loss_D_fake -0.005427
[889/5000][100/535][91569] Loss_D: -0.022929 Loss_G: -0.003532 Loss_D_real: -0.018533 Loss_D_fake 0.004396
[889/5000][105/535][91570] Loss_D: -0.021045 Loss_G: 0.022050 Loss_D_real: -0.039436 Loss_D_fake -0.018391
[889/5000][110/535][91571] Loss_D: -0.022939 Loss_G: 0.016244 Loss_D_real: -0.017496 Loss_D_fake 0.005442
[889/5000][115/535][91572] Loss_D: -0.022010 Loss_G: 0.006463 Loss_D_real: -0.025922 Loss_D_fake -0.003913
[889/5000][120/535][91573] Loss_D: -0.024970 Loss_G: 0.003220 Loss_D_real: -0.011608 Loss_D_fake 0.013363
[889/5000][125/535][91574] Loss_D: -0.023632 Loss_G: -0.003594 Loss_D_real: -0.007811 Loss_D_fake 0.015822
[889/5000][130/535][91575] Loss_D: -0.022773 Loss_G: 0.000471 Loss_D_real: -0.020230 Loss_D_fake 0.002543
[889/5000][135/535][91576] Loss_D: -0.023909 Loss_G: 0.017144 Loss_D_real: -0.011903 Loss_D_fake 0.012006
[889/5000][140/535][91577] Loss_D: -0.022737 Loss_G: 0.000894 Loss_D_real: -0.014591 Loss_D_fake 0.008146
[889/5000][145/535][91578] Loss_D: -0.021692 Loss_G: 0.020303 Loss_D_real: -0.025470 Loss_D_fake -0.003777
[889/5000][150/535][91579] Loss_D: -0.023050 Loss_G: 0.010495 Loss_D_real: -0.018073 Loss_D_fake 0.004977
[889/5000][155/535][91580] Loss_D: -0.022002 Loss_G: 0.014339 Loss_D_real: -0.018468 Loss_D_fake 0.003534
[889/5000][160/535][91581] Loss_D: -0.021644 Loss_G: 0.022684 Loss_D_real: -0.038125 Loss_D_fake -0.016481
[889/5000][165/535][91582] Loss_D: -0.021325 Loss_G: -0.025751 Loss_D_real: 0.000647 Loss_D_fake 0.021972
[889/5000][170/535][91583] Loss_D: -0.023227 Loss_G: 0.020660 Loss_D_real: -0.025236 Loss_D_fake -0.002009
[889/5000][175/535][91584] Loss_D: -0.022212 Loss_G: 0.000557 Loss_D_real: -0.018134 Loss_D_fake 0.004077
[889/5000][180/535][91585] Loss_D: -0.022478 Loss_G: 0.012791 Loss_D_real: -0.022064 Loss_D_fake 0.000413
[889/5000][185/535][91586] Loss_D: -0.022341 Loss_G: 0.011110 Loss_D_real: -0.011708 Loss_D_fake 0.010633
[889/5000][190/535][91587] Loss_D: -0.022664 Loss_G: 0.001694 Loss_D_real: -0.012050 Loss_D_fake 0.010614
[889/5000][195/535][91588] Loss_D: -0.023050 Loss_G: 0.017112 Loss_D_real: -0.026528 Loss_D_fake -0.003478
[889/5000][200/535][91589] Loss_D: -0.023470 Loss_G: 0.018773 Loss_D_real: -0.026650 Loss_D_fake -0.003180
[889/5000][205/535][91590] Loss_D: -0.022481 Loss_G: -0.002992 Loss_D_real: -0.013854 Loss_D_fake 0.008627
[889/5000][210/535][91591] Loss_D: -0.022058 Loss_G: 0.020904 Loss_D_real: -0.032787 Loss_D_fake -0.010729
[889/5000][215/535][91592] Loss_D: -0.022645 Loss_G: 0.013255 Loss_D_real: -0.024341 Loss_D_fake -0.001697
[889/5000][220/535][91593] Loss_D: -0.024140 Loss_G: 0.003250 Loss_D_real: -0.021731 Loss_D_fake 0.002409
[889/5000][225/535][91594] Loss_D: -0.023023 Loss_G: 0.023884 Loss_D_real: -0.029272 Loss_D_fake -0.006249
[889/5000][230/535][91595] Loss_D: -0.024150 Loss_G: 0.006656 Loss_D_real: -0.015787 Loss_D_fake 0.008363
[889/5000][235/535][91596] Loss_D: -0.022256 Loss_G: 0.019747 Loss_D_real: -0.022713 Loss_D_fake -0.000457
[889/5000][240/535][91597] Loss_D: -0.022806 Loss_G: 0.014056 Loss_D_real: -0.014633 Loss_D_fake 0.008174
[889/5000][245/535][91598] Loss_D: -0.022067 Loss_G: 0.023833 Loss_D_real: -0.031226 Loss_D_fake -0.009159
[889/5000][250/535][91599] Loss_D: -0.022759 Loss_G: 0.000085 Loss_D_real: -0.010341 Loss_D_fake 0.012419
[889/5000][255/535][91600] Loss_D: -0.022170 Loss_G: -0.005750 Loss_D_real: 0.001511 Loss_D_fake 0.023681
[889/5000][260/535][91601] Loss_D: -0.021574 Loss_G: 0.031358 Loss_D_real: -0.024556 Loss_D_fake -0.002982
[889/5000][265/535][91602] Loss_D: -0.021754 Loss_G: 0.005636 Loss_D_real: -0.019881 Loss_D_fake 0.001873
[889/5000][270/535][91603] Loss_D: -0.022452 Loss_G: 0.012713 Loss_D_real: -0.029259 Loss_D_fake -0.006807
[889/5000][275/535][91604] Loss_D: -0.021947 Loss_G: 0.016822 Loss_D_real: -0.036354 Loss_D_fake -0.014408
[889/5000][280/535][91605] Loss_D: -0.022622 Loss_G: 0.020590 Loss_D_real: -0.033919 Loss_D_fake -0.011297
[889/5000][285/535][91606] Loss_D: -0.022632 Loss_G: -0.002219 Loss_D_real: -0.008259 Loss_D_fake 0.014373
[889/5000][290/535][91607] Loss_D: -0.021801 Loss_G: 0.003266 Loss_D_real: -0.010176 Loss_D_fake 0.011624
[889/5000][295/535][91608] Loss_D: -0.021951 Loss_G: 0.013458 Loss_D_real: -0.026595 Loss_D_fake -0.004645
[889/5000][300/535][91609] Loss_D: -0.023311 Loss_G: 0.006213 Loss_D_real: -0.012629 Loss_D_fake 0.010682
[889/5000][305/535][91610] Loss_D: -0.022263 Loss_G: 0.010474 Loss_D_real: -0.022043 Loss_D_fake 0.000220
[889/5000][310/535][91611] Loss_D: -0.021578 Loss_G: 0.015841 Loss_D_real: -0.027539 Loss_D_fake -0.005960
[889/5000][315/535][91612] Loss_D: -0.021466 Loss_G: -0.006872 Loss_D_real: -0.000904 Loss_D_fake 0.020562
[889/5000][320/535][91613] Loss_D: -0.022117 Loss_G: 0.017461 Loss_D_real: -0.032793 Loss_D_fake -0.010676
[889/5000][325/535][91614] Loss_D: -0.021712 Loss_G: 0.009774 Loss_D_real: -0.013417 Loss_D_fake 0.008295
[889/5000][330/535][91615] Loss_D: -0.023170 Loss_G: 0.013089 Loss_D_real: -0.025937 Loss_D_fake -0.002767
[889/5000][335/535][91616] Loss_D: -0.022314 Loss_G: 0.016476 Loss_D_real: -0.027756 Loss_D_fake -0.005443
[889/5000][340/535][91617] Loss_D: -0.022844 Loss_G: 0.028312 Loss_D_real: -0.034787 Loss_D_fake -0.011943
[889/5000][345/535][91618] Loss_D: -0.022882 Loss_G: 0.013303 Loss_D_real: -0.020571 Loss_D_fake 0.002311
[889/5000][350/535][91619] Loss_D: -0.022750 Loss_G: -0.002418 Loss_D_real: -0.006879 Loss_D_fake 0.015871
[889/5000][355/535][91620] Loss_D: -0.022968 Loss_G: 0.008566 Loss_D_real: -0.024052 Loss_D_fake -0.001083
[889/5000][360/535][91621] Loss_D: -0.022654 Loss_G: 0.011350 Loss_D_real: -0.021398 Loss_D_fake 0.001256
[889/5000][365/535][91622] Loss_D: -0.021759 Loss_G: 0.019447 Loss_D_real: -0.031890 Loss_D_fake -0.010132
[889/5000][370/535][91623] Loss_D: -0.023129 Loss_G: 0.019000 Loss_D_real: -0.020161 Loss_D_fake 0.002967
[889/5000][375/535][91624] Loss_D: -0.022746 Loss_G: 0.012911 Loss_D_real: -0.025615 Loss_D_fake -0.002869
[889/5000][380/535][91625] Loss_D: -0.023035 Loss_G: -0.009824 Loss_D_real: -0.002555 Loss_D_fake 0.020481
[889/5000][385/535][91626] Loss_D: -0.020982 Loss_G: 0.028567 Loss_D_real: -0.031583 Loss_D_fake -0.010601
[889/5000][390/535][91627] Loss_D: -0.022746 Loss_G: 0.005580 Loss_D_real: -0.014674 Loss_D_fake 0.008072
[889/5000][395/535][91628] Loss_D: -0.023411 Loss_G: 0.009677 Loss_D_real: -0.024988 Loss_D_fake -0.001578
[889/5000][400/535][91629] Loss_D: -0.023329 Loss_G: 0.015277 Loss_D_real: -0.021288 Loss_D_fake 0.002041
[889/5000][405/535][91630] Loss_D: -0.022297 Loss_G: 0.018465 Loss_D_real: -0.014407 Loss_D_fake 0.007890
[889/5000][410/535][91631] Loss_D: -0.022851 Loss_G: 0.017756 Loss_D_real: -0.032700 Loss_D_fake -0.009849
[889/5000][415/535][91632] Loss_D: -0.022089 Loss_G: 0.020881 Loss_D_real: -0.017815 Loss_D_fake 0.004274
[889/5000][420/535][91633] Loss_D: -0.023115 Loss_G: -0.006210 Loss_D_real: -0.015384 Loss_D_fake 0.007731
[889/5000][425/535][91634] Loss_D: -0.021605 Loss_G: 0.026626 Loss_D_real: -0.028806 Loss_D_fake -0.007200
[889/5000][430/535][91635] Loss_D: -0.023826 Loss_G: 0.006494 Loss_D_real: -0.027130 Loss_D_fake -0.003304
[889/5000][435/535][91636] Loss_D: -0.022812 Loss_G: 0.009380 Loss_D_real: -0.010549 Loss_D_fake 0.012263
[889/5000][440/535][91637] Loss_D: -0.023478 Loss_G: -0.002873 Loss_D_real: -0.012226 Loss_D_fake 0.011252
[889/5000][445/535][91638] Loss_D: -0.021766 Loss_G: 0.029171 Loss_D_real: -0.029779 Loss_D_fake -0.008014
[889/5000][450/535][91639] Loss_D: -0.021558 Loss_G: -0.004632 Loss_D_real: -0.012137 Loss_D_fake 0.009420
[889/5000][455/535][91640] Loss_D: -0.023154 Loss_G: 0.012343 Loss_D_real: -0.017843 Loss_D_fake 0.005311
[889/5000][460/535][91641] Loss_D: -0.024555 Loss_G: 0.009260 Loss_D_real: -0.020124 Loss_D_fake 0.004431
[889/5000][465/535][91642] Loss_D: -0.023235 Loss_G: -0.011953 Loss_D_real: -0.013019 Loss_D_fake 0.010216
[889/5000][470/535][91643] Loss_D: -0.022764 Loss_G: 0.029654 Loss_D_real: -0.034874 Loss_D_fake -0.012110
[889/5000][475/535][91644] Loss_D: -0.022293 Loss_G: 0.000282 Loss_D_real: -0.008081 Loss_D_fake 0.014212
[889/5000][480/535][91645] Loss_D: -0.022697 Loss_G: 0.018493 Loss_D_real: -0.028081 Loss_D_fake -0.005384
[889/5000][485/535][91646] Loss_D: -0.024182 Loss_G: 0.028177 Loss_D_real: -0.035861 Loss_D_fake -0.011679
[889/5000][490/535][91647] Loss_D: -0.023185 Loss_G: 0.011762 Loss_D_real: -0.023292 Loss_D_fake -0.000107
[889/5000][495/535][91648] Loss_D: -0.023446 Loss_G: 0.012206 Loss_D_real: -0.018354 Loss_D_fake 0.005092
[889/5000][500/535][91649] Loss_D: -0.023189 Loss_G: 0.014322 Loss_D_real: -0.035148 Loss_D_fake -0.011959
[889/5000][505/535][91650] Loss_D: -0.024136 Loss_G: 0.007486 Loss_D_real: -0.014425 Loss_D_fake 0.009710
[889/5000][510/535][91651] Loss_D: -0.023853 Loss_G: 0.001501 Loss_D_real: -0.009310 Loss_D_fake 0.014542
[889/5000][515/535][91652] Loss_D: -0.021987 Loss_G: 0.024305 Loss_D_real: -0.020747 Loss_D_fake 0.001240
[889/5000][520/535][91653] Loss_D: -0.022944 Loss_G: 0.013462 Loss_D_real: -0.020759 Loss_D_fake 0.002185
[889/5000][525/535][91654] Loss_D: -0.022545 Loss_G: -0.001470 Loss_D_real: -0.006734 Loss_D_fake 0.015811
[889/5000][530/535][91655] Loss_D: -0.021293 Loss_G: 0.013357 Loss_D_real: -0.036725 Loss_D_fake -0.015432
[889/5000][535/535][91656] Loss_D: -0.019617 Loss_G: -0.017015 Loss_D_real: -0.020484 Loss_D_fake -0.000867
[890/5000][5/535][91657] Loss_D: -0.022091 Loss_G: -0.010863 Loss_D_real: -0.011708 Loss_D_fake 0.010383
[890/5000][10/535][91658] Loss_D: -0.022459 Loss_G: 0.015423 Loss_D_real: -0.022884 Loss_D_fake -0.000425
[890/5000][15/535][91659] Loss_D: -0.022120 Loss_G: 0.017021 Loss_D_real: -0.031761 Loss_D_fake -0.009641
[890/5000][20/535][91660] Loss_D: -0.021713 Loss_G: 0.003403 Loss_D_real: -0.014121 Loss_D_fake 0.007592
[890/5000][25/535][91661] Loss_D: -0.021721 Loss_G: 0.020228 Loss_D_real: -0.028716 Loss_D_fake -0.006995
[890/5000][30/535][91662] Loss_D: -0.022943 Loss_G: 0.006068 Loss_D_real: -0.013190 Loss_D_fake 0.009752
[890/5000][35/535][91663] Loss_D: -0.022501 Loss_G: -0.008013 Loss_D_real: -0.009397 Loss_D_fake 0.013104
[890/5000][40/535][91664] Loss_D: -0.021554 Loss_G: -0.016789 Loss_D_real: -0.004575 Loss_D_fake 0.016979
[890/5000][45/535][91665] Loss_D: -0.022710 Loss_G: 0.018227 Loss_D_real: -0.018312 Loss_D_fake 0.004398
[890/5000][50/535][91666] Loss_D: -0.021893 Loss_G: 0.021722 Loss_D_real: -0.027742 Loss_D_fake -0.005850
[890/5000][55/535][91667] Loss_D: -0.023787 Loss_G: -0.001353 Loss_D_real: -0.010000 Loss_D_fake 0.013787
[890/5000][60/535][91668] Loss_D: -0.022673 Loss_G: -0.002603 Loss_D_real: -0.003027 Loss_D_fake 0.019646
[890/5000][65/535][91669] Loss_D: -0.021379 Loss_G: 0.004833 Loss_D_real: -0.027962 Loss_D_fake -0.006583
[890/5000][70/535][91670] Loss_D: -0.022296 Loss_G: 0.006361 Loss_D_real: -0.017053 Loss_D_fake 0.005243
[890/5000][75/535][91671] Loss_D: -0.022215 Loss_G: -0.004558 Loss_D_real: -0.016530 Loss_D_fake 0.005686
[890/5000][80/535][91672] Loss_D: -0.021674 Loss_G: -0.001098 Loss_D_real: -0.005080 Loss_D_fake 0.016594
[890/5000][85/535][91673] Loss_D: -0.022591 Loss_G: -0.000586 Loss_D_real: -0.018725 Loss_D_fake 0.003866
[890/5000][90/535][91674] Loss_D: -0.022591 Loss_G: -0.007732 Loss_D_real: -0.016818 Loss_D_fake 0.005772
[890/5000][95/535][91675] Loss_D: -0.023331 Loss_G: 0.021500 Loss_D_real: -0.031250 Loss_D_fake -0.007919
[890/5000][100/535][91676] Loss_D: -0.022862 Loss_G: 0.000226 Loss_D_real: -0.023374 Loss_D_fake -0.000512
[890/5000][105/535][91677] Loss_D: -0.024173 Loss_G: 0.017652 Loss_D_real: -0.025760 Loss_D_fake -0.001587
[890/5000][110/535][91678] Loss_D: -0.024027 Loss_G: 0.006445 Loss_D_real: -0.026333 Loss_D_fake -0.002306
[890/5000][115/535][91679] Loss_D: -0.021134 Loss_G: 0.021281 Loss_D_real: -0.033410 Loss_D_fake -0.012276
[890/5000][120/535][91680] Loss_D: -0.023521 Loss_G: 0.019262 Loss_D_real: -0.024816 Loss_D_fake -0.001295
[890/5000][125/535][91681] Loss_D: -0.021450 Loss_G: 0.014190 Loss_D_real: -0.017845 Loss_D_fake 0.003605
[890/5000][130/535][91682] Loss_D: -0.021672 Loss_G: 0.004936 Loss_D_real: -0.013754 Loss_D_fake 0.007918
[890/5000][135/535][91683] Loss_D: -0.022299 Loss_G: 0.008950 Loss_D_real: -0.020036 Loss_D_fake 0.002263
[890/5000][140/535][91684] Loss_D: -0.022401 Loss_G: 0.014353 Loss_D_real: -0.022807 Loss_D_fake -0.000406
[890/5000][145/535][91685] Loss_D: -0.023048 Loss_G: 0.005554 Loss_D_real: -0.012444 Loss_D_fake 0.010604
[890/5000][150/535][91686] Loss_D: -0.021121 Loss_G: 0.013114 Loss_D_real: -0.018825 Loss_D_fake 0.002297
[890/5000][155/535][91687] Loss_D: -0.022887 Loss_G: 0.005390 Loss_D_real: -0.021315 Loss_D_fake 0.001572
[890/5000][160/535][91688] Loss_D: -0.023519 Loss_G: -0.002214 Loss_D_real: -0.026425 Loss_D_fake -0.002906
[890/5000][165/535][91689] Loss_D: -0.023083 Loss_G: 0.000619 Loss_D_real: -0.017809 Loss_D_fake 0.005274
[890/5000][170/535][91690] Loss_D: -0.022281 Loss_G: -0.007832 Loss_D_real: -0.003622 Loss_D_fake 0.018658
[890/5000][175/535][91691] Loss_D: -0.022727 Loss_G: 0.011527 Loss_D_real: -0.020695 Loss_D_fake 0.002032
[890/5000][180/535][91692] Loss_D: -0.023488 Loss_G: -0.006081 Loss_D_real: -0.010055 Loss_D_fake 0.013433
[890/5000][185/535][91693] Loss_D: -0.023713 Loss_G: 0.009116 Loss_D_real: -0.009234 Loss_D_fake 0.014479
[890/5000][190/535][91694] Loss_D: -0.021792 Loss_G: 0.026380 Loss_D_real: -0.026240 Loss_D_fake -0.004448
[890/5000][195/535][91695] Loss_D: -0.022878 Loss_G: 0.002835 Loss_D_real: -0.014962 Loss_D_fake 0.007916
[890/5000][200/535][91696] Loss_D: -0.021358 Loss_G: 0.018022 Loss_D_real: -0.027778 Loss_D_fake -0.006420
[890/5000][205/535][91697] Loss_D: -0.023187 Loss_G: 0.009809 Loss_D_real: -0.015144 Loss_D_fake 0.008043
[890/5000][210/535][91698] Loss_D: -0.022160 Loss_G: -0.001838 Loss_D_real: -0.011709 Loss_D_fake 0.010451
[890/5000][215/535][91699] Loss_D: -0.020615 Loss_G: 0.024921 Loss_D_real: -0.031279 Loss_D_fake -0.010664
[890/5000][220/535][91700] Loss_D: -0.022164 Loss_G: 0.006805 Loss_D_real: -0.014404 Loss_D_fake 0.007759
[890/5000][225/535][91701] Loss_D: -0.023949 Loss_G: 0.011092 Loss_D_real: -0.014359 Loss_D_fake 0.009590
[890/5000][230/535][91702] Loss_D: -0.022745 Loss_G: 0.001091 Loss_D_real: -0.020332 Loss_D_fake 0.002413
[890/5000][235/535][91703] Loss_D: -0.021729 Loss_G: 0.016216 Loss_D_real: -0.025982 Loss_D_fake -0.004252
[890/5000][240/535][91704] Loss_D: -0.020260 Loss_G: -0.021231 Loss_D_real: -0.005890 Loss_D_fake 0.014370
[890/5000][245/535][91705] Loss_D: -0.022658 Loss_G: 0.020347 Loss_D_real: -0.025556 Loss_D_fake -0.002898
[890/5000][250/535][91706] Loss_D: -0.023254 Loss_G: 0.006578 Loss_D_real: -0.012824 Loss_D_fake 0.010431
[890/5000][255/535][91707] Loss_D: -0.024281 Loss_G: 0.015521 Loss_D_real: -0.020082 Loss_D_fake 0.004199
[890/5000][260/535][91708] Loss_D: -0.021601 Loss_G: 0.020606 Loss_D_real: -0.034839 Loss_D_fake -0.013238
[890/5000][265/535][91709] Loss_D: -0.023659 Loss_G: 0.001792 Loss_D_real: -0.019538 Loss_D_fake 0.004121
[890/5000][270/535][91710] Loss_D: -0.024444 Loss_G: 0.000846 Loss_D_real: -0.026867 Loss_D_fake -0.002423
[890/5000][275/535][91711] Loss_D: -0.023411 Loss_G: 0.009932 Loss_D_real: -0.009594 Loss_D_fake 0.013817
[890/5000][280/535][91712] Loss_D: -0.024281 Loss_G: 0.004876 Loss_D_real: -0.011155 Loss_D_fake 0.013126
[890/5000][285/535][91713] Loss_D: -0.022906 Loss_G: 0.006464 Loss_D_real: -0.029188 Loss_D_fake -0.006282
[890/5000][290/535][91714] Loss_D: -0.022149 Loss_G: 0.024383 Loss_D_real: -0.022469 Loss_D_fake -0.000320
[890/5000][295/535][91715] Loss_D: -0.022461 Loss_G: 0.000094 Loss_D_real: -0.011490 Loss_D_fake 0.010971
[890/5000][300/535][91716] Loss_D: -0.022739 Loss_G: 0.015193 Loss_D_real: -0.032960 Loss_D_fake -0.010221
[890/5000][305/535][91717] Loss_D: -0.020852 Loss_G: 0.026020 Loss_D_real: -0.028444 Loss_D_fake -0.007592
[890/5000][310/535][91718] Loss_D: -0.021274 Loss_G: -0.011052 Loss_D_real: 0.009230 Loss_D_fake 0.030504
[890/5000][315/535][91719] Loss_D: -0.022021 Loss_G: 0.005872 Loss_D_real: -0.014882 Loss_D_fake 0.007139
[890/5000][320/535][91720] Loss_D: -0.021478 Loss_G: -0.011323 Loss_D_real: -0.002440 Loss_D_fake 0.019038
[890/5000][325/535][91721] Loss_D: -0.022306 Loss_G: 0.036238 Loss_D_real: -0.021374 Loss_D_fake 0.000932
[890/5000][330/535][91722] Loss_D: -0.021655 Loss_G: 0.010601 Loss_D_real: -0.017351 Loss_D_fake 0.004303
[890/5000][335/535][91723] Loss_D: -0.022192 Loss_G: -0.000620 Loss_D_real: -0.017711 Loss_D_fake 0.004481
[890/5000][340/535][91724] Loss_D: -0.023160 Loss_G: 0.006707 Loss_D_real: -0.021711 Loss_D_fake 0.001449
[890/5000][345/535][91725] Loss_D: -0.021979 Loss_G: 0.000346 Loss_D_real: -0.010937 Loss_D_fake 0.011042
[890/5000][350/535][91726] Loss_D: -0.023582 Loss_G: 0.025062 Loss_D_real: -0.027947 Loss_D_fake -0.004365
[890/5000][355/535][91727] Loss_D: -0.023202 Loss_G: 0.000291 Loss_D_real: -0.027492 Loss_D_fake -0.004290
[890/5000][360/535][91728] Loss_D: -0.022617 Loss_G: 0.015226 Loss_D_real: -0.023996 Loss_D_fake -0.001380
[890/5000][365/535][91729] Loss_D: -0.023273 Loss_G: -0.000782 Loss_D_real: -0.016988 Loss_D_fake 0.006284
[890/5000][370/535][91730] Loss_D: -0.022584 Loss_G: -0.001701 Loss_D_real: -0.005290 Loss_D_fake 0.017294
[890/5000][375/535][91731] Loss_D: -0.022924 Loss_G: 0.021994 Loss_D_real: -0.036542 Loss_D_fake -0.013618
[890/5000][380/535][91732] Loss_D: -0.022174 Loss_G: 0.016511 Loss_D_real: -0.023888 Loss_D_fake -0.001715
[890/5000][385/535][91733] Loss_D: -0.023480 Loss_G: 0.003229 Loss_D_real: -0.014126 Loss_D_fake 0.009353
[890/5000][390/535][91734] Loss_D: -0.022198 Loss_G: 0.020730 Loss_D_real: -0.027522 Loss_D_fake -0.005323
[890/5000][395/535][91735] Loss_D: -0.023580 Loss_G: 0.003792 Loss_D_real: -0.013436 Loss_D_fake 0.010144
[890/5000][400/535][91736] Loss_D: -0.023346 Loss_G: -0.006167 Loss_D_real: -0.010036 Loss_D_fake 0.013310
[890/5000][405/535][91737] Loss_D: -0.021870 Loss_G: 0.015365 Loss_D_real: -0.032805 Loss_D_fake -0.010935
[890/5000][410/535][91738] Loss_D: -0.023999 Loss_G: 0.003811 Loss_D_real: -0.019894 Loss_D_fake 0.004105
[890/5000][415/535][91739] Loss_D: -0.022412 Loss_G: 0.009993 Loss_D_real: -0.018219 Loss_D_fake 0.004193
[890/5000][420/535][91740] Loss_D: -0.022365 Loss_G: 0.012523 Loss_D_real: -0.013733 Loss_D_fake 0.008632
[890/5000][425/535][91741] Loss_D: -0.022226 Loss_G: 0.010130 Loss_D_real: -0.018466 Loss_D_fake 0.003760
[890/5000][430/535][91742] Loss_D: -0.021190 Loss_G: -0.015813 Loss_D_real: -0.008421 Loss_D_fake 0.012768
[890/5000][435/535][91743] Loss_D: -0.022763 Loss_G: 0.000503 Loss_D_real: -0.014493 Loss_D_fake 0.008270
[890/5000][440/535][91744] Loss_D: -0.020762 Loss_G: -0.014131 Loss_D_real: -0.003970 Loss_D_fake 0.016792
[890/5000][445/535][91745] Loss_D: -0.022816 Loss_G: 0.017365 Loss_D_real: -0.026777 Loss_D_fake -0.003961
[890/5000][450/535][91746] Loss_D: -0.022269 Loss_G: 0.014322 Loss_D_real: -0.020382 Loss_D_fake 0.001887
[890/5000][455/535][91747] Loss_D: -0.020881 Loss_G: -0.007277 Loss_D_real: -0.015835 Loss_D_fake 0.005046
[890/5000][460/535][91748] Loss_D: -0.023484 Loss_G: 0.017186 Loss_D_real: -0.015721 Loss_D_fake 0.007763
[890/5000][465/535][91749] Loss_D: -0.023128 Loss_G: 0.000853 Loss_D_real: -0.019219 Loss_D_fake 0.003909
[890/5000][470/535][91750] Loss_D: -0.021778 Loss_G: 0.013701 Loss_D_real: -0.011191 Loss_D_fake 0.010587
[890/5000][475/535][91751] Loss_D: -0.021623 Loss_G: 0.015131 Loss_D_real: -0.030840 Loss_D_fake -0.009217
[890/5000][480/535][91752] Loss_D: -0.022450 Loss_G: 0.023076 Loss_D_real: -0.032713 Loss_D_fake -0.010263
[890/5000][485/535][91753] Loss_D: -0.022906 Loss_G: 0.017789 Loss_D_real: -0.023224 Loss_D_fake -0.000318
[890/5000][490/535][91754] Loss_D: -0.022764 Loss_G: 0.023565 Loss_D_real: -0.023655 Loss_D_fake -0.000891
[890/5000][495/535][91755] Loss_D: -0.022836 Loss_G: 0.008103 Loss_D_real: -0.015840 Loss_D_fake 0.006997
[890/5000][500/535][91756] Loss_D: -0.021238 Loss_G: 0.007967 Loss_D_real: -0.028478 Loss_D_fake -0.007239
[890/5000][505/535][91757] Loss_D: -0.023327 Loss_G: -0.004793 Loss_D_real: -0.009376 Loss_D_fake 0.013952
[890/5000][510/535][91758] Loss_D: -0.022392 Loss_G: 0.020806 Loss_D_real: -0.019888 Loss_D_fake 0.002504
[890/5000][515/535][91759] Loss_D: -0.022873 Loss_G: -0.005584 Loss_D_real: -0.021017 Loss_D_fake 0.001856
[890/5000][520/535][91760] Loss_D: -0.022723 Loss_G: 0.007204 Loss_D_real: -0.019532 Loss_D_fake 0.003190
[890/5000][525/535][91761] Loss_D: -0.023461 Loss_G: 0.001933 Loss_D_real: -0.012795 Loss_D_fake 0.010667
[890/5000][530/535][91762] Loss_D: -0.024555 Loss_G: 0.015519 Loss_D_real: -0.015003 Loss_D_fake 0.009552
[890/5000][535/535][91763] Loss_D: -0.024040 Loss_G: 0.001368 Loss_D_real: -0.024157 Loss_D_fake -0.000117
[891/5000][5/535][91764] Loss_D: -0.022336 Loss_G: -0.011950 Loss_D_real: -0.010318 Loss_D_fake 0.012017
[891/5000][10/535][91765] Loss_D: -0.021864 Loss_G: 0.003914 Loss_D_real: -0.021740 Loss_D_fake 0.000124
[891/5000][15/535][91766] Loss_D: -0.022032 Loss_G: -0.005335 Loss_D_real: 0.000825 Loss_D_fake 0.022857
[891/5000][20/535][91767] Loss_D: -0.022692 Loss_G: 0.016701 Loss_D_real: -0.025770 Loss_D_fake -0.003079
[891/5000][25/535][91768] Loss_D: -0.022086 Loss_G: 0.026591 Loss_D_real: -0.034393 Loss_D_fake -0.012307
[891/5000][30/535][91769] Loss_D: -0.023328 Loss_G: -0.002690 Loss_D_real: -0.016275 Loss_D_fake 0.007053
[891/5000][35/535][91770] Loss_D: -0.023120 Loss_G: 0.017049 Loss_D_real: -0.025950 Loss_D_fake -0.002830
[891/5000][40/535][91771] Loss_D: -0.021932 Loss_G: 0.008021 Loss_D_real: -0.028597 Loss_D_fake -0.006665
[891/5000][45/535][91772] Loss_D: -0.022552 Loss_G: 0.005228 Loss_D_real: -0.012957 Loss_D_fake 0.009596
[891/5000][50/535][91773] Loss_D: -0.022531 Loss_G: -0.001234 Loss_D_real: -0.010380 Loss_D_fake 0.012151
[891/5000][55/535][91774] Loss_D: -0.023203 Loss_G: 0.003975 Loss_D_real: -0.019809 Loss_D_fake 0.003394
[891/5000][60/535][91775] Loss_D: -0.022494 Loss_G: -0.003429 Loss_D_real: -0.007155 Loss_D_fake 0.015339
[891/5000][65/535][91776] Loss_D: -0.023261 Loss_G: -0.010198 Loss_D_real: 0.001952 Loss_D_fake 0.025213
[891/5000][70/535][91777] Loss_D: -0.021930 Loss_G: 0.008340 Loss_D_real: -0.022161 Loss_D_fake -0.000231
[891/5000][75/535][91778] Loss_D: -0.022213 Loss_G: 0.003586 Loss_D_real: -0.013059 Loss_D_fake 0.009154
[891/5000][80/535][91779] Loss_D: -0.023228 Loss_G: 0.002813 Loss_D_real: -0.021153 Loss_D_fake 0.002075
[891/5000][85/535][91780] Loss_D: -0.023561 Loss_G: 0.020774 Loss_D_real: -0.020146 Loss_D_fake 0.003415
[891/5000][90/535][91781] Loss_D: -0.022341 Loss_G: -0.009929 Loss_D_real: -0.010118 Loss_D_fake 0.012223
[891/5000][95/535][91782] Loss_D: -0.022509 Loss_G: 0.002654 Loss_D_real: -0.023260 Loss_D_fake -0.000752
[891/5000][100/535][91783] Loss_D: -0.022006 Loss_G: 0.015383 Loss_D_real: -0.021192 Loss_D_fake 0.000814
[891/5000][105/535][91784] Loss_D: -0.021897 Loss_G: 0.005803 Loss_D_real: -0.014852 Loss_D_fake 0.007045
[891/5000][110/535][91785] Loss_D: -0.022461 Loss_G: -0.004156 Loss_D_real: -0.000733 Loss_D_fake 0.021728
[891/5000][115/535][91786] Loss_D: -0.021985 Loss_G: 0.012551 Loss_D_real: -0.028782 Loss_D_fake -0.006798
[891/5000][120/535][91787] Loss_D: -0.022896 Loss_G: 0.015846 Loss_D_real: -0.024102 Loss_D_fake -0.001207
[891/5000][125/535][91788] Loss_D: -0.023223 Loss_G: 0.007800 Loss_D_real: -0.024469 Loss_D_fake -0.001246
[891/5000][130/535][91789] Loss_D: -0.023009 Loss_G: 0.004517 Loss_D_real: -0.027124 Loss_D_fake -0.004115
[891/5000][135/535][91790] Loss_D: -0.022260 Loss_G: 0.024217 Loss_D_real: -0.026682 Loss_D_fake -0.004422
[891/5000][140/535][91791] Loss_D: -0.022186 Loss_G: -0.008452 Loss_D_real: -0.001066 Loss_D_fake 0.021120
[891/5000][145/535][91792] Loss_D: -0.022614 Loss_G: 0.008477 Loss_D_real: -0.024154 Loss_D_fake -0.001540
[891/5000][150/535][91793] Loss_D: -0.022737 Loss_G: -0.006241 Loss_D_real: -0.013428 Loss_D_fake 0.009310
[891/5000][155/535][91794] Loss_D: -0.019993 Loss_G: 0.009095 Loss_D_real: -0.023293 Loss_D_fake -0.003300
[891/5000][160/535][91795] Loss_D: -0.020886 Loss_G: 0.004282 Loss_D_real: -0.017790 Loss_D_fake 0.003096
[891/5000][165/535][91796] Loss_D: -0.020874 Loss_G: 0.028965 Loss_D_real: -0.033191 Loss_D_fake -0.012317
[891/5000][170/535][91797] Loss_D: -0.021981 Loss_G: 0.005804 Loss_D_real: -0.013782 Loss_D_fake 0.008198
[891/5000][175/535][91798] Loss_D: -0.023569 Loss_G: -0.000937 Loss_D_real: -0.021258 Loss_D_fake 0.002311
[891/5000][180/535][91799] Loss_D: -0.022379 Loss_G: 0.017747 Loss_D_real: -0.026056 Loss_D_fake -0.003677
[891/5000][185/535][91800] Loss_D: -0.024093 Loss_G: 0.012861 Loss_D_real: -0.016653 Loss_D_fake 0.007440
[891/5000][190/535][91801] Loss_D: -0.024619 Loss_G: 0.001964 Loss_D_real: -0.021173 Loss_D_fake 0.003446
[891/5000][195/535][91802] Loss_D: -0.024459 Loss_G: 0.017712 Loss_D_real: -0.022149 Loss_D_fake 0.002310
[891/5000][200/535][91803] Loss_D: -0.023665 Loss_G: 0.013888 Loss_D_real: -0.019085 Loss_D_fake 0.004580
[891/5000][205/535][91804] Loss_D: -0.022821 Loss_G: -0.002499 Loss_D_real: -0.007975 Loss_D_fake 0.014846
[891/5000][210/535][91805] Loss_D: -0.022476 Loss_G: 0.016669 Loss_D_real: -0.024298 Loss_D_fake -0.001822
[891/5000][215/535][91806] Loss_D: -0.022475 Loss_G: -0.001180 Loss_D_real: -0.013354 Loss_D_fake 0.009121
[891/5000][220/535][91807] Loss_D: -0.022592 Loss_G: 0.033158 Loss_D_real: -0.024801 Loss_D_fake -0.002209
[891/5000][225/535][91808] Loss_D: -0.022739 Loss_G: 0.016096 Loss_D_real: -0.028261 Loss_D_fake -0.005522
[891/5000][230/535][91809] Loss_D: -0.023985 Loss_G: 0.023593 Loss_D_real: -0.037482 Loss_D_fake -0.013497
[891/5000][235/535][91810] Loss_D: -0.021010 Loss_G: 0.023229 Loss_D_real: -0.029705 Loss_D_fake -0.008695
[891/5000][240/535][91811] Loss_D: -0.023482 Loss_G: -0.005770 Loss_D_real: -0.009077 Loss_D_fake 0.014405
[891/5000][245/535][91812] Loss_D: -0.020684 Loss_G: 0.022354 Loss_D_real: -0.038821 Loss_D_fake -0.018137
[891/5000][250/535][91813] Loss_D: -0.024074 Loss_G: 0.001834 Loss_D_real: -0.010099 Loss_D_fake 0.013975
[891/5000][255/535][91814] Loss_D: -0.023208 Loss_G: 0.001347 Loss_D_real: -0.008806 Loss_D_fake 0.014402
[891/5000][260/535][91815] Loss_D: -0.024084 Loss_G: 0.010334 Loss_D_real: -0.005268 Loss_D_fake 0.018816
[891/5000][265/535][91816] Loss_D: -0.021118 Loss_G: 0.004454 Loss_D_real: -0.023983 Loss_D_fake -0.002864
[891/5000][270/535][91817] Loss_D: -0.023168 Loss_G: -0.005795 Loss_D_real: -0.003662 Loss_D_fake 0.019506
[891/5000][275/535][91818] Loss_D: -0.022479 Loss_G: 0.003192 Loss_D_real: -0.020687 Loss_D_fake 0.001792
[891/5000][280/535][91819] Loss_D: -0.023156 Loss_G: 0.009564 Loss_D_real: -0.024857 Loss_D_fake -0.001702
[891/5000][285/535][91820] Loss_D: -0.021888 Loss_G: 0.017365 Loss_D_real: -0.034554 Loss_D_fake -0.012666
[891/5000][290/535][91821] Loss_D: -0.022370 Loss_G: 0.007741 Loss_D_real: -0.014238 Loss_D_fake 0.008133
[891/5000][295/535][91822] Loss_D: -0.022927 Loss_G: 0.009542 Loss_D_real: -0.023505 Loss_D_fake -0.000578
[891/5000][300/535][91823] Loss_D: -0.022665 Loss_G: 0.013781 Loss_D_real: -0.015546 Loss_D_fake 0.007119
[891/5000][305/535][91824] Loss_D: -0.022005 Loss_G: 0.028942 Loss_D_real: -0.031365 Loss_D_fake -0.009361
[891/5000][310/535][91825] Loss_D: -0.024941 Loss_G: 0.008889 Loss_D_real: -0.026837 Loss_D_fake -0.001896
[891/5000][315/535][91826] Loss_D: -0.023864 Loss_G: 0.009049 Loss_D_real: -0.008802 Loss_D_fake 0.015062
[891/5000][320/535][91827] Loss_D: -0.023522 Loss_G: 0.003914 Loss_D_real: -0.021629 Loss_D_fake 0.001893
[891/5000][325/535][91828] Loss_D: -0.022477 Loss_G: 0.017052 Loss_D_real: -0.033714 Loss_D_fake -0.011236
[891/5000][330/535][91829] Loss_D: -0.022790 Loss_G: 0.005875 Loss_D_real: -0.015126 Loss_D_fake 0.007664
[891/5000][335/535][91830] Loss_D: -0.023681 Loss_G: 0.004323 Loss_D_real: -0.012818 Loss_D_fake 0.010863
[891/5000][340/535][91831] Loss_D: -0.024728 Loss_G: 0.037798 Loss_D_real: -0.025456 Loss_D_fake -0.000728
[891/5000][345/535][91832] Loss_D: -0.023134 Loss_G: -0.010200 Loss_D_real: -0.004897 Loss_D_fake 0.018237
[891/5000][350/535][91833] Loss_D: -0.023660 Loss_G: 0.008615 Loss_D_real: -0.029258 Loss_D_fake -0.005598
[891/5000][355/535][91834] Loss_D: -0.022955 Loss_G: 0.021707 Loss_D_real: -0.023026 Loss_D_fake -0.000071
[891/5000][360/535][91835] Loss_D: -0.024007 Loss_G: 0.018959 Loss_D_real: -0.029093 Loss_D_fake -0.005086
[891/5000][365/535][91836] Loss_D: -0.023532 Loss_G: -0.001263 Loss_D_real: -0.018713 Loss_D_fake 0.004819
[891/5000][370/535][91837] Loss_D: -0.021514 Loss_G: 0.010702 Loss_D_real: -0.027761 Loss_D_fake -0.006247
[891/5000][375/535][91838] Loss_D: -0.021372 Loss_G: 0.029157 Loss_D_real: -0.015892 Loss_D_fake 0.005480
[891/5000][380/535][91839] Loss_D: -0.023027 Loss_G: 0.004849 Loss_D_real: -0.021328 Loss_D_fake 0.001699
[891/5000][385/535][91840] Loss_D: -0.023297 Loss_G: 0.018334 Loss_D_real: -0.030098 Loss_D_fake -0.006800
[891/5000][390/535][91841] Loss_D: -0.022255 Loss_G: -0.001290 Loss_D_real: 0.001486 Loss_D_fake 0.023741
[891/5000][395/535][91842] Loss_D: -0.022177 Loss_G: 0.001148 Loss_D_real: -0.015542 Loss_D_fake 0.006636
[891/5000][400/535][91843] Loss_D: -0.023027 Loss_G: 0.006676 Loss_D_real: -0.019011 Loss_D_fake 0.004015
[891/5000][405/535][91844] Loss_D: -0.023391 Loss_G: 0.007511 Loss_D_real: -0.025653 Loss_D_fake -0.002261
[891/5000][410/535][91845] Loss_D: -0.022765 Loss_G: 0.008604 Loss_D_real: -0.013618 Loss_D_fake 0.009147
[891/5000][415/535][91846] Loss_D: -0.023847 Loss_G: -0.003899 Loss_D_real: -0.011599 Loss_D_fake 0.012249
[891/5000][420/535][91847] Loss_D: -0.023351 Loss_G: 0.019460 Loss_D_real: -0.028649 Loss_D_fake -0.005298
[891/5000][425/535][91848] Loss_D: -0.022916 Loss_G: -0.013671 Loss_D_real: -0.009902 Loss_D_fake 0.013015
[891/5000][430/535][91849] Loss_D: -0.022855 Loss_G: 0.027873 Loss_D_real: -0.023448 Loss_D_fake -0.000593
[891/5000][435/535][91850] Loss_D: -0.021432 Loss_G: -0.012707 Loss_D_real: 0.002443 Loss_D_fake 0.023875
[891/5000][440/535][91851] Loss_D: -0.022080 Loss_G: 0.022410 Loss_D_real: -0.020366 Loss_D_fake 0.001714
[891/5000][445/535][91852] Loss_D: -0.022909 Loss_G: 0.004902 Loss_D_real: -0.008161 Loss_D_fake 0.014748
[891/5000][450/535][91853] Loss_D: -0.022317 Loss_G: 0.016636 Loss_D_real: -0.019972 Loss_D_fake 0.002346
[891/5000][455/535][91854] Loss_D: -0.021842 Loss_G: 0.024659 Loss_D_real: -0.033699 Loss_D_fake -0.011857
[891/5000][460/535][91855] Loss_D: -0.023241 Loss_G: 0.011284 Loss_D_real: -0.023855 Loss_D_fake -0.000614
[891/5000][465/535][91856] Loss_D: -0.022735 Loss_G: 0.011581 Loss_D_real: -0.031916 Loss_D_fake -0.009181
[891/5000][470/535][91857] Loss_D: -0.023523 Loss_G: 0.001749 Loss_D_real: -0.019501 Loss_D_fake 0.004022
[891/5000][475/535][91858] Loss_D: -0.021323 Loss_G: 0.029123 Loss_D_real: -0.029872 Loss_D_fake -0.008549
[891/5000][480/535][91859] Loss_D: -0.021730 Loss_G: -0.009706 Loss_D_real: -0.009413 Loss_D_fake 0.012317
[891/5000][485/535][91860] Loss_D: -0.022162 Loss_G: 0.031910 Loss_D_real: -0.025480 Loss_D_fake -0.003318
[891/5000][490/535][91861] Loss_D: -0.022547 Loss_G: 0.008644 Loss_D_real: -0.016487 Loss_D_fake 0.006060
[891/5000][495/535][91862] Loss_D: -0.022472 Loss_G: 0.004149 Loss_D_real: -0.018898 Loss_D_fake 0.003575
[891/5000][500/535][91863] Loss_D: -0.022427 Loss_G: 0.005500 Loss_D_real: -0.013687 Loss_D_fake 0.008740
[891/5000][505/535][91864] Loss_D: -0.023814 Loss_G: 0.010891 Loss_D_real: -0.015412 Loss_D_fake 0.008402
[891/5000][510/535][91865] Loss_D: -0.023587 Loss_G: -0.006934 Loss_D_real: -0.005639 Loss_D_fake 0.017948
[891/5000][515/535][91866] Loss_D: -0.024473 Loss_G: 0.007074 Loss_D_real: -0.012085 Loss_D_fake 0.012388
[891/5000][520/535][91867] Loss_D: -0.021730 Loss_G: 0.012637 Loss_D_real: -0.022405 Loss_D_fake -0.000675
[891/5000][525/535][91868] Loss_D: -0.023594 Loss_G: 0.011447 Loss_D_real: -0.017951 Loss_D_fake 0.005643
[891/5000][530/535][91869] Loss_D: -0.022648 Loss_G: 0.011275 Loss_D_real: -0.023705 Loss_D_fake -0.001057
[891/5000][535/535][91870] Loss_D: -0.022626 Loss_G: 0.022598 Loss_D_real: -0.001815 Loss_D_fake 0.020811
[892/5000][5/535][91871] Loss_D: -0.020820 Loss_G: 0.003493 Loss_D_real: -0.021325 Loss_D_fake -0.000506
[892/5000][10/535][91872] Loss_D: -0.023579 Loss_G: -0.004519 Loss_D_real: -0.029697 Loss_D_fake -0.006118
[892/5000][15/535][91873] Loss_D: -0.024410 Loss_G: 0.025026 Loss_D_real: -0.024989 Loss_D_fake -0.000579
[892/5000][20/535][91874] Loss_D: -0.023110 Loss_G: 0.011037 Loss_D_real: -0.016053 Loss_D_fake 0.007056
[892/5000][25/535][91875] Loss_D: -0.021823 Loss_G: -0.016018 Loss_D_real: -0.000989 Loss_D_fake 0.020834
[892/5000][30/535][91876] Loss_D: -0.021255 Loss_G: -0.007393 Loss_D_real: 0.000369 Loss_D_fake 0.021624
[892/5000][35/535][91877] Loss_D: -0.021673 Loss_G: 0.008131 Loss_D_real: -0.029191 Loss_D_fake -0.007518
[892/5000][40/535][91878] Loss_D: -0.022459 Loss_G: 0.011797 Loss_D_real: -0.019388 Loss_D_fake 0.003071
[892/5000][45/535][91879] Loss_D: -0.021883 Loss_G: 0.015524 Loss_D_real: -0.025362 Loss_D_fake -0.003479
[892/5000][50/535][91880] Loss_D: -0.022683 Loss_G: -0.003082 Loss_D_real: -0.011479 Loss_D_fake 0.011204
[892/5000][55/535][91881] Loss_D: -0.023358 Loss_G: 0.014743 Loss_D_real: -0.026172 Loss_D_fake -0.002813
[892/5000][60/535][91882] Loss_D: -0.022434 Loss_G: 0.018549 Loss_D_real: -0.030998 Loss_D_fake -0.008564
[892/5000][65/535][91883] Loss_D: -0.021543 Loss_G: 0.002727 Loss_D_real: -0.008596 Loss_D_fake 0.012947
[892/5000][70/535][91884] Loss_D: -0.021817 Loss_G: 0.010555 Loss_D_real: -0.028724 Loss_D_fake -0.006906
[892/5000][75/535][91885] Loss_D: -0.021307 Loss_G: -0.003091 Loss_D_real: -0.011145 Loss_D_fake 0.010161
[892/5000][80/535][91886] Loss_D: -0.022099 Loss_G: 0.015634 Loss_D_real: -0.015855 Loss_D_fake 0.006244
[892/5000][85/535][91887] Loss_D: -0.019245 Loss_G: 0.034400 Loss_D_real: -0.040107 Loss_D_fake -0.020862
[892/5000][90/535][91888] Loss_D: -0.022662 Loss_G: 0.008446 Loss_D_real: -0.019478 Loss_D_fake 0.003184
[892/5000][95/535][91889] Loss_D: -0.023041 Loss_G: 0.003222 Loss_D_real: -0.023864 Loss_D_fake -0.000823
[892/5000][100/535][91890] Loss_D: -0.024010 Loss_G: 0.015238 Loss_D_real: -0.026382 Loss_D_fake -0.002372
[892/5000][105/535][91891] Loss_D: -0.023334 Loss_G: -0.006684 Loss_D_real: -0.008835 Loss_D_fake 0.014499
[892/5000][110/535][91892] Loss_D: -0.022879 Loss_G: 0.018980 Loss_D_real: -0.033615 Loss_D_fake -0.010736
[892/5000][115/535][91893] Loss_D: -0.022826 Loss_G: 0.008224 Loss_D_real: -0.007545 Loss_D_fake 0.015282
[892/5000][120/535][91894] Loss_D: -0.022729 Loss_G: 0.016004 Loss_D_real: -0.029507 Loss_D_fake -0.006778
[892/5000][125/535][91895] Loss_D: -0.022526 Loss_G: -0.013069 Loss_D_real: -0.009509 Loss_D_fake 0.013017
[892/5000][130/535][91896] Loss_D: -0.022920 Loss_G: 0.010534 Loss_D_real: -0.022455 Loss_D_fake 0.000464
[892/5000][135/535][91897] Loss_D: -0.023076 Loss_G: -0.006316 Loss_D_real: -0.005892 Loss_D_fake 0.017184
[892/5000][140/535][91898] Loss_D: -0.023001 Loss_G: 0.024925 Loss_D_real: -0.025898 Loss_D_fake -0.002897
[892/5000][145/535][91899] Loss_D: -0.022327 Loss_G: 0.004307 Loss_D_real: -0.017306 Loss_D_fake 0.005021
[892/5000][150/535][91900] Loss_D: -0.024056 Loss_G: -0.003695 Loss_D_real: -0.012768 Loss_D_fake 0.011289
[892/5000][155/535][91901] Loss_D: -0.022298 Loss_G: 0.005690 Loss_D_real: -0.027802 Loss_D_fake -0.005503
[892/5000][160/535][91902] Loss_D: -0.022662 Loss_G: 0.016613 Loss_D_real: -0.015836 Loss_D_fake 0.006826
[892/5000][165/535][91903] Loss_D: -0.022198 Loss_G: 0.011275 Loss_D_real: -0.022319 Loss_D_fake -0.000121
[892/5000][170/535][91904] Loss_D: -0.023261 Loss_G: 0.005197 Loss_D_real: -0.025826 Loss_D_fake -0.002564
[892/5000][175/535][91905] Loss_D: -0.024874 Loss_G: 0.012914 Loss_D_real: -0.027246 Loss_D_fake -0.002372
[892/5000][180/535][91906] Loss_D: -0.024352 Loss_G: 0.010079 Loss_D_real: -0.023850 Loss_D_fake 0.000502
[892/5000][185/535][91907] Loss_D: -0.023736 Loss_G: 0.009178 Loss_D_real: -0.010147 Loss_D_fake 0.013589
[892/5000][190/535][91908] Loss_D: -0.023261 Loss_G: 0.005842 Loss_D_real: -0.018918 Loss_D_fake 0.004343
[892/5000][195/535][91909] Loss_D: -0.021720 Loss_G: 0.004540 Loss_D_real: -0.020943 Loss_D_fake 0.000777
[892/5000][200/535][91910] Loss_D: -0.022806 Loss_G: 0.008224 Loss_D_real: -0.014427 Loss_D_fake 0.008379
[892/5000][205/535][91911] Loss_D: -0.022572 Loss_G: -0.004706 Loss_D_real: -0.005065 Loss_D_fake 0.017507
[892/5000][210/535][91912] Loss_D: -0.023105 Loss_G: 0.022118 Loss_D_real: -0.035336 Loss_D_fake -0.012231
[892/5000][215/535][91913] Loss_D: -0.024441 Loss_G: -0.009128 Loss_D_real: -0.004974 Loss_D_fake 0.019467
[892/5000][220/535][91914] Loss_D: -0.022458 Loss_G: 0.004516 Loss_D_real: -0.010006 Loss_D_fake 0.012452
[892/5000][225/535][91915] Loss_D: -0.022742 Loss_G: -0.011084 Loss_D_real: -0.011926 Loss_D_fake 0.010816
[892/5000][230/535][91916] Loss_D: -0.024712 Loss_G: -0.002279 Loss_D_real: -0.005407 Loss_D_fake 0.019305
[892/5000][235/535][91917] Loss_D: -0.022480 Loss_G: 0.003440 Loss_D_real: -0.007766 Loss_D_fake 0.014714
[892/5000][240/535][91918] Loss_D: -0.020843 Loss_G: 0.029718 Loss_D_real: -0.031718 Loss_D_fake -0.010875
[892/5000][245/535][91919] Loss_D: -0.023068 Loss_G: -0.015573 Loss_D_real: -0.004368 Loss_D_fake 0.018700
[892/5000][250/535][91920] Loss_D: -0.022567 Loss_G: 0.014513 Loss_D_real: -0.026543 Loss_D_fake -0.003976
[892/5000][255/535][91921] Loss_D: -0.023283 Loss_G: -0.009221 Loss_D_real: -0.016827 Loss_D_fake 0.006455
[892/5000][260/535][91922] Loss_D: -0.022174 Loss_G: 0.000420 Loss_D_real: -0.007646 Loss_D_fake 0.014528
[892/5000][265/535][91923] Loss_D: -0.023029 Loss_G: 0.016863 Loss_D_real: -0.019147 Loss_D_fake 0.003882
[892/5000][270/535][91924] Loss_D: -0.021454 Loss_G: 0.023493 Loss_D_real: -0.023488 Loss_D_fake -0.002034
[892/5000][275/535][91925] Loss_D: -0.022112 Loss_G: 0.015394 Loss_D_real: -0.021084 Loss_D_fake 0.001028
[892/5000][280/535][91926] Loss_D: -0.022583 Loss_G: -0.000329 Loss_D_real: -0.017261 Loss_D_fake 0.005322
[892/5000][285/535][91927] Loss_D: -0.023505 Loss_G: 0.018488 Loss_D_real: -0.020683 Loss_D_fake 0.002822
[892/5000][290/535][91928] Loss_D: -0.023825 Loss_G: 0.023218 Loss_D_real: -0.030110 Loss_D_fake -0.006285
[892/5000][295/535][91929] Loss_D: -0.022750 Loss_G: -0.004472 Loss_D_real: -0.010817 Loss_D_fake 0.011933
[892/5000][300/535][91930] Loss_D: -0.023696 Loss_G: 0.020126 Loss_D_real: -0.025084 Loss_D_fake -0.001388
[892/5000][305/535][91931] Loss_D: -0.023730 Loss_G: 0.007118 Loss_D_real: -0.022071 Loss_D_fake 0.001659
[892/5000][310/535][91932] Loss_D: -0.023191 Loss_G: 0.024040 Loss_D_real: -0.025331 Loss_D_fake -0.002140
[892/5000][315/535][91933] Loss_D: -0.021601 Loss_G: 0.022083 Loss_D_real: -0.027715 Loss_D_fake -0.006114
[892/5000][320/535][91934] Loss_D: -0.022815 Loss_G: -0.004506 Loss_D_real: -0.021908 Loss_D_fake 0.000907
[892/5000][325/535][91935] Loss_D: -0.022826 Loss_G: 0.010080 Loss_D_real: -0.029407 Loss_D_fake -0.006580
[892/5000][330/535][91936] Loss_D: -0.023796 Loss_G: -0.002352 Loss_D_real: -0.015020 Loss_D_fake 0.008775
[892/5000][335/535][91937] Loss_D: -0.022823 Loss_G: 0.004079 Loss_D_real: -0.010934 Loss_D_fake 0.011890
[892/5000][340/535][91938] Loss_D: -0.021820 Loss_G: -0.014562 Loss_D_real: 0.012989 Loss_D_fake 0.034809
[892/5000][345/535][91939] Loss_D: -0.022479 Loss_G: 0.004885 Loss_D_real: -0.031176 Loss_D_fake -0.008697
[892/5000][350/535][91940] Loss_D: -0.022860 Loss_G: -0.001836 Loss_D_real: -0.003507 Loss_D_fake 0.019353
[892/5000][355/535][91941] Loss_D: -0.022724 Loss_G: 0.000618 Loss_D_real: -0.018325 Loss_D_fake 0.004399
[892/5000][360/535][91942] Loss_D: -0.023637 Loss_G: 0.016567 Loss_D_real: -0.020756 Loss_D_fake 0.002882
[892/5000][365/535][91943] Loss_D: -0.023379 Loss_G: 0.003711 Loss_D_real: -0.019456 Loss_D_fake 0.003923
[892/5000][370/535][91944] Loss_D: -0.024525 Loss_G: 0.013054 Loss_D_real: -0.019672 Loss_D_fake 0.004853
[892/5000][375/535][91945] Loss_D: -0.023128 Loss_G: -0.012219 Loss_D_real: -0.015227 Loss_D_fake 0.007901
[892/5000][380/535][91946] Loss_D: -0.023005 Loss_G: 0.033221 Loss_D_real: -0.020410 Loss_D_fake 0.002595
[892/5000][385/535][91947] Loss_D: -0.022309 Loss_G: 0.007003 Loss_D_real: -0.014628 Loss_D_fake 0.007681
[892/5000][390/535][91948] Loss_D: -0.023014 Loss_G: 0.015230 Loss_D_real: -0.015296 Loss_D_fake 0.007719
[892/5000][395/535][91949] Loss_D: -0.022431 Loss_G: 0.007329 Loss_D_real: -0.024522 Loss_D_fake -0.002091
[892/5000][400/535][91950] Loss_D: -0.023777 Loss_G: 0.025237 Loss_D_real: -0.020375 Loss_D_fake 0.003402
[892/5000][405/535][91951] Loss_D: -0.022324 Loss_G: 0.023446 Loss_D_real: -0.029812 Loss_D_fake -0.007488
[892/5000][410/535][91952] Loss_D: -0.022955 Loss_G: -0.008015 Loss_D_real: -0.019266 Loss_D_fake 0.003689
[892/5000][415/535][91953] Loss_D: -0.021624 Loss_G: 0.008179 Loss_D_real: -0.021393 Loss_D_fake 0.000231
[892/5000][420/535][91954] Loss_D: -0.022141 Loss_G: 0.002738 Loss_D_real: -0.025966 Loss_D_fake -0.003825
[892/5000][425/535][91955] Loss_D: -0.023396 Loss_G: 0.016276 Loss_D_real: -0.023420 Loss_D_fake -0.000024
[892/5000][430/535][91956] Loss_D: -0.024479 Loss_G: 0.008588 Loss_D_real: -0.018122 Loss_D_fake 0.006357
[892/5000][435/535][91957] Loss_D: -0.021542 Loss_G: -0.004100 Loss_D_real: -0.017015 Loss_D_fake 0.004527
[892/5000][440/535][91958] Loss_D: -0.021944 Loss_G: 0.021247 Loss_D_real: -0.026039 Loss_D_fake -0.004095
[892/5000][445/535][91959] Loss_D: -0.022932 Loss_G: 0.009618 Loss_D_real: -0.024780 Loss_D_fake -0.001849
[892/5000][450/535][91960] Loss_D: -0.022304 Loss_G: 0.005646 Loss_D_real: -0.005837 Loss_D_fake 0.016468
[892/5000][455/535][91961] Loss_D: -0.023739 Loss_G: -0.003487 Loss_D_real: -0.008894 Loss_D_fake 0.014845
[892/5000][460/535][91962] Loss_D: -0.023197 Loss_G: -0.014063 Loss_D_real: -0.004026 Loss_D_fake 0.019170
[892/5000][465/535][91963] Loss_D: -0.022898 Loss_G: 0.002494 Loss_D_real: -0.016052 Loss_D_fake 0.006846
[892/5000][470/535][91964] Loss_D: -0.021682 Loss_G: 0.027784 Loss_D_real: -0.031595 Loss_D_fake -0.009913
[892/5000][475/535][91965] Loss_D: -0.023213 Loss_G: 0.013875 Loss_D_real: -0.015166 Loss_D_fake 0.008047
[892/5000][480/535][91966] Loss_D: -0.023159 Loss_G: 0.019518 Loss_D_real: -0.025706 Loss_D_fake -0.002548
[892/5000][485/535][91967] Loss_D: -0.022564 Loss_G: -0.001086 Loss_D_real: -0.019723 Loss_D_fake 0.002842
[892/5000][490/535][91968] Loss_D: -0.022364 Loss_G: -0.008483 Loss_D_real: 0.003174 Loss_D_fake 0.025538
[892/5000][495/535][91969] Loss_D: -0.022356 Loss_G: -0.005027 Loss_D_real: -0.003757 Loss_D_fake 0.018599
[892/5000][500/535][91970] Loss_D: -0.021714 Loss_G: 0.017208 Loss_D_real: -0.024128 Loss_D_fake -0.002413
[892/5000][505/535][91971] Loss_D: -0.022393 Loss_G: 0.002731 Loss_D_real: -0.005495 Loss_D_fake 0.016899
[892/5000][510/535][91972] Loss_D: -0.021903 Loss_G: 0.011741 Loss_D_real: -0.024754 Loss_D_fake -0.002851
[892/5000][515/535][91973] Loss_D: -0.021649 Loss_G: 0.015458 Loss_D_real: -0.026500 Loss_D_fake -0.004851
[892/5000][520/535][91974] Loss_D: -0.021328 Loss_G: 0.019377 Loss_D_real: -0.027951 Loss_D_fake -0.006623
[892/5000][525/535][91975] Loss_D: -0.020498 Loss_G: -0.007344 Loss_D_real: -0.019730 Loss_D_fake 0.000768
[892/5000][530/535][91976] Loss_D: -0.022029 Loss_G: 0.019873 Loss_D_real: -0.026195 Loss_D_fake -0.004166
[892/5000][535/535][91977] Loss_D: -0.025843 Loss_G: 0.018662 Loss_D_real: -0.015746 Loss_D_fake 0.010097
[893/5000][5/535][91978] Loss_D: -0.021927 Loss_G: 0.028382 Loss_D_real: -0.028949 Loss_D_fake -0.007022
[893/5000][10/535][91979] Loss_D: -0.022729 Loss_G: -0.016683 Loss_D_real: -0.008475 Loss_D_fake 0.014254
[893/5000][15/535][91980] Loss_D: -0.022848 Loss_G: 0.005991 Loss_D_real: -0.020797 Loss_D_fake 0.002051
[893/5000][20/535][91981] Loss_D: -0.022083 Loss_G: -0.002991 Loss_D_real: -0.018319 Loss_D_fake 0.003765
[893/5000][25/535][91982] Loss_D: -0.022095 Loss_G: -0.004883 Loss_D_real: -0.016328 Loss_D_fake 0.005767
[893/5000][30/535][91983] Loss_D: -0.022691 Loss_G: -0.003185 Loss_D_real: -0.009771 Loss_D_fake 0.012919
[893/5000][35/535][91984] Loss_D: -0.021302 Loss_G: 0.018425 Loss_D_real: -0.025496 Loss_D_fake -0.004194
[893/5000][40/535][91985] Loss_D: -0.022880 Loss_G: 0.003236 Loss_D_real: -0.027543 Loss_D_fake -0.004663
[893/5000][45/535][91986] Loss_D: -0.021821 Loss_G: -0.009727 Loss_D_real: -0.005173 Loss_D_fake 0.016648
[893/5000][50/535][91987] Loss_D: -0.023182 Loss_G: -0.004916 Loss_D_real: -0.012605 Loss_D_fake 0.010578
[893/5000][55/535][91988] Loss_D: -0.023273 Loss_G: 0.024239 Loss_D_real: -0.022132 Loss_D_fake 0.001141
[893/5000][60/535][91989] Loss_D: -0.022396 Loss_G: -0.000545 Loss_D_real: -0.017353 Loss_D_fake 0.005043
[893/5000][65/535][91990] Loss_D: -0.022575 Loss_G: 0.000688 Loss_D_real: -0.011715 Loss_D_fake 0.010859
[893/5000][70/535][91991] Loss_D: -0.024269 Loss_G: 0.026344 Loss_D_real: -0.023442 Loss_D_fake 0.000827
[893/5000][75/535][91992] Loss_D: -0.022504 Loss_G: -0.007808 Loss_D_real: -0.011793 Loss_D_fake 0.010711
[893/5000][80/535][91993] Loss_D: -0.022320 Loss_G: 0.009591 Loss_D_real: -0.019365 Loss_D_fake 0.002955
[893/5000][85/535][91994] Loss_D: -0.021361 Loss_G: 0.029724 Loss_D_real: -0.037470 Loss_D_fake -0.016109
[893/5000][90/535][91995] Loss_D: -0.023333 Loss_G: 0.011205 Loss_D_real: -0.022679 Loss_D_fake 0.000654
[893/5000][95/535][91996] Loss_D: -0.022262 Loss_G: 0.011123 Loss_D_real: -0.019555 Loss_D_fake 0.002707
[893/5000][100/535][91997] Loss_D: -0.024634 Loss_G: -0.001818 Loss_D_real: -0.018437 Loss_D_fake 0.006197
[893/5000][105/535][91998] Loss_D: -0.023145 Loss_G: -0.001679 Loss_D_real: -0.015362 Loss_D_fake 0.007783
[893/5000][110/535][91999] Loss_D: -0.021685 Loss_G: -0.003963 Loss_D_real: -0.004285 Loss_D_fake 0.017400
[893/5000][115/535][92000] Loss_D: -0.022216 Loss_G: 0.027033 Loss_D_real: -0.024348 Loss_D_fake -0.002132
[893/5000][215/535][92001] Loss_D: -0.024685 Loss_G: 0.030536 Loss_D_real: -0.031153 Loss_D_fake -0.006468
[893/5000][220/535][92002] Loss_D: -0.025102 Loss_G: 0.021852 Loss_D_real: -0.029043 Loss_D_fake -0.003941
[893/5000][225/535][92003] Loss_D: -0.020806 Loss_G: -0.006454 Loss_D_real: -0.009740 Loss_D_fake 0.011066
[893/5000][230/535][92004] Loss_D: -0.021736 Loss_G: 0.002806 Loss_D_real: -0.017229 Loss_D_fake 0.004507
[893/5000][235/535][92005] Loss_D: -0.022541 Loss_G: -0.002067 Loss_D_real: -0.016512 Loss_D_fake 0.006029
[893/5000][240/535][92006] Loss_D: -0.020425 Loss_G: 0.009026 Loss_D_real: -0.029814 Loss_D_fake -0.009388
[893/5000][245/535][92007] Loss_D: -0.021904 Loss_G: 0.017981 Loss_D_real: -0.022707 Loss_D_fake -0.000803
[893/5000][250/535][92008] Loss_D: -0.021993 Loss_G: -0.001761 Loss_D_real: -0.016945 Loss_D_fake 0.005048
[893/5000][255/535][92009] Loss_D: -0.021578 Loss_G: 0.027598 Loss_D_real: -0.031435 Loss_D_fake -0.009857
[893/5000][260/535][92010] Loss_D: -0.021851 Loss_G: 0.003335 Loss_D_real: -0.017857 Loss_D_fake 0.003993
[893/5000][265/535][92011] Loss_D: -0.021408 Loss_G: 0.013072 Loss_D_real: -0.034584 Loss_D_fake -0.013176
[893/5000][270/535][92012] Loss_D: -0.023688 Loss_G: 0.013595 Loss_D_real: -0.027149 Loss_D_fake -0.003460
[893/5000][275/535][92013] Loss_D: -0.022331 Loss_G: 0.006687 Loss_D_real: -0.013615 Loss_D_fake 0.008715
[893/5000][280/535][92014] Loss_D: -0.022474 Loss_G: 0.003225 Loss_D_real: -0.012897 Loss_D_fake 0.009577
[893/5000][285/535][92015] Loss_D: -0.021037 Loss_G: 0.024762 Loss_D_real: -0.032240 Loss_D_fake -0.011203
[893/5000][290/535][92016] Loss_D: -0.022909 Loss_G: 0.001775 Loss_D_real: -0.019371 Loss_D_fake 0.003537
[893/5000][295/535][92017] Loss_D: -0.022410 Loss_G: 0.019646 Loss_D_real: -0.032217 Loss_D_fake -0.009806
[893/5000][300/535][92018] Loss_D: -0.022445 Loss_G: 0.021960 Loss_D_real: -0.022838 Loss_D_fake -0.000393
[893/5000][305/535][92019] Loss_D: -0.023167 Loss_G: -0.012713 Loss_D_real: -0.007726 Loss_D_fake 0.015441
[893/5000][310/535][92020] Loss_D: -0.022052 Loss_G: 0.006651 Loss_D_real: -0.016052 Loss_D_fake 0.006000
[893/5000][315/535][92021] Loss_D: -0.024339 Loss_G: 0.007696 Loss_D_real: -0.018995 Loss_D_fake 0.005344
[893/5000][320/535][92022] Loss_D: -0.021958 Loss_G: 0.022551 Loss_D_real: -0.032045 Loss_D_fake -0.010087
[893/5000][325/535][92023] Loss_D: -0.022017 Loss_G: -0.009961 Loss_D_real: -0.012800 Loss_D_fake 0.009217
[893/5000][330/535][92024] Loss_D: -0.022179 Loss_G: 0.017422 Loss_D_real: -0.020046 Loss_D_fake 0.002133
[893/5000][335/535][92025] Loss_D: -0.020116 Loss_G: -0.002724 Loss_D_real: -0.005136 Loss_D_fake 0.014980
[893/5000][340/535][92026] Loss_D: -0.022952 Loss_G: 0.011088 Loss_D_real: -0.027311 Loss_D_fake -0.004359
[893/5000][345/535][92027] Loss_D: -0.022818 Loss_G: 0.001526 Loss_D_real: -0.010323 Loss_D_fake 0.012495
[893/5000][350/535][92028] Loss_D: -0.021011 Loss_G: -0.012648 Loss_D_real: 0.007187 Loss_D_fake 0.028198
[893/5000][355/535][92029] Loss_D: -0.021200 Loss_G: -0.018283 Loss_D_real: -0.009065 Loss_D_fake 0.012135
[893/5000][360/535][92030] Loss_D: -0.021782 Loss_G: 0.013133 Loss_D_real: -0.019406 Loss_D_fake 0.002376
[893/5000][365/535][92031] Loss_D: -0.022030 Loss_G: 0.000607 Loss_D_real: -0.012506 Loss_D_fake 0.009524
[893/5000][370/535][92032] Loss_D: -0.022737 Loss_G: 0.007799 Loss_D_real: -0.021910 Loss_D_fake 0.000827
[893/5000][375/535][92033] Loss_D: -0.022078 Loss_G: 0.024040 Loss_D_real: -0.028679 Loss_D_fake -0.006601
[893/5000][380/535][92034] Loss_D: -0.023398 Loss_G: 0.008030 Loss_D_real: -0.014401 Loss_D_fake 0.008997
[893/5000][385/535][92035] Loss_D: -0.022609 Loss_G: 0.009007 Loss_D_real: -0.021374 Loss_D_fake 0.001235
[893/5000][390/535][92036] Loss_D: -0.023493 Loss_G: 0.009510 Loss_D_real: -0.032722 Loss_D_fake -0.009229
[893/5000][395/535][92037] Loss_D: -0.022043 Loss_G: 0.019431 Loss_D_real: -0.019883 Loss_D_fake 0.002159
[893/5000][400/535][92038] Loss_D: -0.022821 Loss_G: 0.023771 Loss_D_real: -0.019416 Loss_D_fake 0.003405
[893/5000][405/535][92039] Loss_D: -0.022133 Loss_G: 0.020970 Loss_D_real: -0.035743 Loss_D_fake -0.013610
[893/5000][410/535][92040] Loss_D: -0.022326 Loss_G: 0.000789 Loss_D_real: -0.024207 Loss_D_fake -0.001881
[893/5000][415/535][92041] Loss_D: -0.023515 Loss_G: -0.006577 Loss_D_real: -0.006458 Loss_D_fake 0.017057
[893/5000][420/535][92042] Loss_D: -0.021294 Loss_G: 0.025857 Loss_D_real: -0.022875 Loss_D_fake -0.001582
[893/5000][425/535][92043] Loss_D: -0.022567 Loss_G: 0.016080 Loss_D_real: -0.021612 Loss_D_fake 0.000955
[893/5000][430/535][92044] Loss_D: -0.021673 Loss_G: -0.008968 Loss_D_real: -0.002265 Loss_D_fake 0.019408
[893/5000][435/535][92045] Loss_D: -0.021292 Loss_G: -0.014066 Loss_D_real: 0.000048 Loss_D_fake 0.021340
[893/5000][440/535][92046] Loss_D: -0.023068 Loss_G: 0.005433 Loss_D_real: -0.012115 Loss_D_fake 0.010952
[893/5000][445/535][92047] Loss_D: -0.022454 Loss_G: 0.011800 Loss_D_real: -0.021170 Loss_D_fake 0.001284
[893/5000][450/535][92048] Loss_D: -0.021268 Loss_G: 0.022895 Loss_D_real: -0.031932 Loss_D_fake -0.010665
[893/5000][455/535][92049] Loss_D: -0.023123 Loss_G: 0.011391 Loss_D_real: -0.023568 Loss_D_fake -0.000445
[893/5000][460/535][92050] Loss_D: -0.022581 Loss_G: -0.006888 Loss_D_real: -0.010355 Loss_D_fake 0.012226
[893/5000][465/535][92051] Loss_D: -0.023162 Loss_G: 0.006174 Loss_D_real: -0.013435 Loss_D_fake 0.009727
[893/5000][470/535][92052] Loss_D: -0.021676 Loss_G: 0.017182 Loss_D_real: -0.030103 Loss_D_fake -0.008428
[893/5000][475/535][92053] Loss_D: -0.022621 Loss_G: 0.025081 Loss_D_real: -0.026322 Loss_D_fake -0.003701
[893/5000][480/535][92054] Loss_D: -0.022545 Loss_G: -0.009671 Loss_D_real: -0.002845 Loss_D_fake 0.019700
[893/5000][485/535][92055] Loss_D: -0.021358 Loss_G: 0.018288 Loss_D_real: -0.016565 Loss_D_fake 0.004793
[893/5000][490/535][92056] Loss_D: -0.022541 Loss_G: 0.019590 Loss_D_real: -0.029206 Loss_D_fake -0.006664
[893/5000][495/535][92057] Loss_D: -0.023072 Loss_G: -0.007055 Loss_D_real: -0.020605 Loss_D_fake 0.002466
[893/5000][500/535][92058] Loss_D: -0.023383 Loss_G: 0.011978 Loss_D_real: -0.031707 Loss_D_fake -0.008324
[893/5000][505/535][92059] Loss_D: -0.022324 Loss_G: 0.012714 Loss_D_real: -0.019758 Loss_D_fake 0.002566
[893/5000][510/535][92060] Loss_D: -0.021808 Loss_G: 0.003838 Loss_D_real: -0.017397 Loss_D_fake 0.004411
[893/5000][515/535][92061] Loss_D: -0.021355 Loss_G: -0.025520 Loss_D_real: -0.000597 Loss_D_fake 0.020758
[893/5000][520/535][92062] Loss_D: -0.022059 Loss_G: 0.004891 Loss_D_real: -0.023998 Loss_D_fake -0.001939
[893/5000][525/535][92063] Loss_D: -0.023107 Loss_G: 0.024361 Loss_D_real: -0.018425 Loss_D_fake 0.004682
[893/5000][530/535][92064] Loss_D: -0.021449 Loss_G: -0.011081 Loss_D_real: 0.002058 Loss_D_fake 0.023507
[893/5000][535/535][92065] Loss_D: -0.021945 Loss_G: 0.011453 Loss_D_real: -0.020063 Loss_D_fake 0.001882
[894/5000][5/535][92066] Loss_D: -0.023480 Loss_G: 0.010480 Loss_D_real: -0.024125 Loss_D_fake -0.000645
[894/5000][10/535][92067] Loss_D: -0.022266 Loss_G: 0.015470 Loss_D_real: -0.020616 Loss_D_fake 0.001650
[894/5000][15/535][92068] Loss_D: -0.022399 Loss_G: -0.004133 Loss_D_real: -0.020337 Loss_D_fake 0.002062
[894/5000][20/535][92069] Loss_D: -0.023773 Loss_G: 0.013877 Loss_D_real: -0.029054 Loss_D_fake -0.005281
[894/5000][25/535][92070] Loss_D: -0.022890 Loss_G: -0.009796 Loss_D_real: -0.006142 Loss_D_fake 0.016748
[894/5000][30/535][92071] Loss_D: -0.022176 Loss_G: 0.001617 Loss_D_real: -0.017507 Loss_D_fake 0.004669
[894/5000][35/535][92072] Loss_D: -0.021820 Loss_G: -0.013799 Loss_D_real: -0.001281 Loss_D_fake 0.020539
[894/5000][40/535][92073] Loss_D: -0.022557 Loss_G: 0.010728 Loss_D_real: -0.014967 Loss_D_fake 0.007591
[894/5000][45/535][92074] Loss_D: -0.022108 Loss_G: -0.003542 Loss_D_real: -0.013401 Loss_D_fake 0.008708
[894/5000][50/535][92075] Loss_D: -0.020510 Loss_G: 0.018297 Loss_D_real: -0.026970 Loss_D_fake -0.006459
[894/5000][55/535][92076] Loss_D: -0.022779 Loss_G: -0.005059 Loss_D_real: -0.008940 Loss_D_fake 0.013839
[894/5000][60/535][92077] Loss_D: -0.021815 Loss_G: 0.024535 Loss_D_real: -0.020924 Loss_D_fake 0.000891
[894/5000][65/535][92078] Loss_D: -0.021867 Loss_G: 0.016564 Loss_D_real: -0.026820 Loss_D_fake -0.004954
[894/5000][70/535][92079] Loss_D: -0.022744 Loss_G: -0.004422 Loss_D_real: -0.010986 Loss_D_fake 0.011759
[894/5000][75/535][92080] Loss_D: -0.022425 Loss_G: 0.012866 Loss_D_real: -0.023302 Loss_D_fake -0.000878
[894/5000][80/535][92081] Loss_D: -0.023448 Loss_G: 0.007036 Loss_D_real: -0.028621 Loss_D_fake -0.005173
[894/5000][85/535][92082] Loss_D: -0.023351 Loss_G: 0.018887 Loss_D_real: -0.029443 Loss_D_fake -0.006092
[894/5000][90/535][92083] Loss_D: -0.023474 Loss_G: 0.009835 Loss_D_real: -0.035267 Loss_D_fake -0.011793
[894/5000][95/535][92084] Loss_D: -0.022885 Loss_G: 0.023379 Loss_D_real: -0.027403 Loss_D_fake -0.004518
[894/5000][100/535][92085] Loss_D: -0.021552 Loss_G: 0.017390 Loss_D_real: -0.019016 Loss_D_fake 0.002536
[894/5000][105/535][92086] Loss_D: -0.022583 Loss_G: 0.008700 Loss_D_real: -0.026291 Loss_D_fake -0.003708
[894/5000][110/535][92087] Loss_D: -0.023164 Loss_G: -0.023323 Loss_D_real: -0.004954 Loss_D_fake 0.018210
[894/5000][115/535][92088] Loss_D: -0.022128 Loss_G: 0.010881 Loss_D_real: -0.013195 Loss_D_fake 0.008933
[894/5000][120/535][92089] Loss_D: -0.021493 Loss_G: 0.022219 Loss_D_real: -0.024026 Loss_D_fake -0.002533
[894/5000][125/535][92090] Loss_D: -0.022764 Loss_G: -0.002407 Loss_D_real: -0.014013 Loss_D_fake 0.008751
[894/5000][130/535][92091] Loss_D: -0.022830 Loss_G: 0.017307 Loss_D_real: -0.026695 Loss_D_fake -0.003865
[894/5000][135/535][92092] Loss_D: -0.022219 Loss_G: 0.025669 Loss_D_real: -0.020306 Loss_D_fake 0.001913
[894/5000][140/535][92093] Loss_D: -0.022326 Loss_G: 0.006621 Loss_D_real: -0.011822 Loss_D_fake 0.010504
[894/5000][145/535][92094] Loss_D: -0.023263 Loss_G: -0.013621 Loss_D_real: -0.010089 Loss_D_fake 0.013173
[894/5000][150/535][92095] Loss_D: -0.022669 Loss_G: -0.005803 Loss_D_real: -0.011284 Loss_D_fake 0.011385
[894/5000][155/535][92096] Loss_D: -0.022403 Loss_G: 0.011768 Loss_D_real: -0.019674 Loss_D_fake 0.002728
[894/5000][160/535][92097] Loss_D: -0.021015 Loss_G: 0.009079 Loss_D_real: -0.026958 Loss_D_fake -0.005943
[894/5000][165/535][92098] Loss_D: -0.022428 Loss_G: 0.008837 Loss_D_real: -0.015160 Loss_D_fake 0.007268
[894/5000][170/535][92099] Loss_D: -0.022266 Loss_G: 0.002554 Loss_D_real: -0.009304 Loss_D_fake 0.012963
[894/5000][175/535][92100] Loss_D: -0.022928 Loss_G: 0.022787 Loss_D_real: -0.027300 Loss_D_fake -0.004371
[894/5000][180/535][92101] Loss_D: -0.021553 Loss_G: -0.004031 Loss_D_real: -0.016234 Loss_D_fake 0.005319
[894/5000][185/535][92102] Loss_D: -0.023297 Loss_G: 0.014434 Loss_D_real: -0.022281 Loss_D_fake 0.001016
[894/5000][190/535][92103] Loss_D: -0.022438 Loss_G: 0.012497 Loss_D_real: -0.017489 Loss_D_fake 0.004949
[894/5000][195/535][92104] Loss_D: -0.022286 Loss_G: 0.000283 Loss_D_real: -0.012022 Loss_D_fake 0.010264
[894/5000][200/535][92105] Loss_D: -0.021929 Loss_G: 0.013247 Loss_D_real: -0.033290 Loss_D_fake -0.011361
[894/5000][205/535][92106] Loss_D: -0.023576 Loss_G: 0.011451 Loss_D_real: -0.013609 Loss_D_fake 0.009967
[894/5000][210/535][92107] Loss_D: -0.022433 Loss_G: 0.006247 Loss_D_real: -0.024337 Loss_D_fake -0.001904
[894/5000][215/535][92108] Loss_D: -0.023497 Loss_G: -0.002201 Loss_D_real: -0.014133 Loss_D_fake 0.009364
[894/5000][220/535][92109] Loss_D: -0.022814 Loss_G: 0.018919 Loss_D_real: -0.031170 Loss_D_fake -0.008356
[894/5000][225/535][92110] Loss_D: -0.023858 Loss_G: 0.026761 Loss_D_real: -0.022248 Loss_D_fake 0.001610
[894/5000][230/535][92111] Loss_D: -0.022696 Loss_G: 0.007649 Loss_D_real: -0.018984 Loss_D_fake 0.003712
[894/5000][235/535][92112] Loss_D: -0.023351 Loss_G: 0.017073 Loss_D_real: -0.029488 Loss_D_fake -0.006138
[894/5000][240/535][92113] Loss_D: -0.023530 Loss_G: 0.002079 Loss_D_real: -0.011603 Loss_D_fake 0.011927
[894/5000][245/535][92114] Loss_D: -0.022492 Loss_G: 0.009123 Loss_D_real: -0.015247 Loss_D_fake 0.007245
[894/5000][250/535][92115] Loss_D: -0.024403 Loss_G: 0.004611 Loss_D_real: -0.017330 Loss_D_fake 0.007073
[894/5000][255/535][92116] Loss_D: -0.020732 Loss_G: 0.011506 Loss_D_real: -0.031940 Loss_D_fake -0.011208
[894/5000][260/535][92117] Loss_D: -0.023881 Loss_G: 0.000790 Loss_D_real: -0.014922 Loss_D_fake 0.008959
[894/5000][265/535][92118] Loss_D: -0.022536 Loss_G: 0.008005 Loss_D_real: -0.028493 Loss_D_fake -0.005957
[894/5000][270/535][92119] Loss_D: -0.023024 Loss_G: 0.020435 Loss_D_real: -0.025339 Loss_D_fake -0.002315
[894/5000][275/535][92120] Loss_D: -0.022933 Loss_G: -0.013039 Loss_D_real: -0.000634 Loss_D_fake 0.022299
[894/5000][280/535][92121] Loss_D: -0.021269 Loss_G: -0.000321 Loss_D_real: -0.017853 Loss_D_fake 0.003417
[894/5000][285/535][92122] Loss_D: -0.023278 Loss_G: -0.000977 Loss_D_real: -0.013347 Loss_D_fake 0.009931
[894/5000][290/535][92123] Loss_D: -0.022373 Loss_G: 0.009951 Loss_D_real: -0.037789 Loss_D_fake -0.015415
[894/5000][295/535][92124] Loss_D: -0.021993 Loss_G: -0.006209 Loss_D_real: -0.008473 Loss_D_fake 0.013520
[894/5000][300/535][92125] Loss_D: -0.022230 Loss_G: 0.014136 Loss_D_real: -0.023249 Loss_D_fake -0.001019
[894/5000][305/535][92126] Loss_D: -0.021567 Loss_G: 0.005566 Loss_D_real: -0.022789 Loss_D_fake -0.001222
[894/5000][310/535][92127] Loss_D: -0.022199 Loss_G: -0.003525 Loss_D_real: -0.013163 Loss_D_fake 0.009035
[894/5000][315/535][92128] Loss_D: -0.022828 Loss_G: 0.015678 Loss_D_real: -0.018179 Loss_D_fake 0.004650
[894/5000][320/535][92129] Loss_D: -0.022422 Loss_G: 0.025097 Loss_D_real: -0.020409 Loss_D_fake 0.002013
[894/5000][325/535][92130] Loss_D: -0.022908 Loss_G: 0.001379 Loss_D_real: -0.003515 Loss_D_fake 0.019392
[894/5000][330/535][92131] Loss_D: -0.023268 Loss_G: 0.000952 Loss_D_real: -0.018956 Loss_D_fake 0.004312
[894/5000][335/535][92132] Loss_D: -0.022717 Loss_G: 0.015935 Loss_D_real: -0.022679 Loss_D_fake 0.000038
[894/5000][340/535][92133] Loss_D: -0.021854 Loss_G: -0.010399 Loss_D_real: -0.008755 Loss_D_fake 0.013099
[894/5000][345/535][92134] Loss_D: -0.021351 Loss_G: 0.008194 Loss_D_real: -0.016969 Loss_D_fake 0.004383
[894/5000][350/535][92135] Loss_D: -0.023369 Loss_G: 0.003382 Loss_D_real: -0.023512 Loss_D_fake -0.000143
[894/5000][355/535][92136] Loss_D: -0.022684 Loss_G: 0.009244 Loss_D_real: -0.022248 Loss_D_fake 0.000436
[894/5000][360/535][92137] Loss_D: -0.020978 Loss_G: 0.023038 Loss_D_real: -0.024247 Loss_D_fake -0.003268
[894/5000][365/535][92138] Loss_D: -0.021040 Loss_G: -0.001413 Loss_D_real: -0.005258 Loss_D_fake 0.015782
[894/5000][370/535][92139] Loss_D: -0.022270 Loss_G: -0.001788 Loss_D_real: -0.019384 Loss_D_fake 0.002886
[894/5000][375/535][92140] Loss_D: -0.021218 Loss_G: 0.005512 Loss_D_real: -0.012068 Loss_D_fake 0.009150
[894/5000][380/535][92141] Loss_D: -0.021102 Loss_G: 0.020311 Loss_D_real: -0.047443 Loss_D_fake -0.026341
[894/5000][385/535][92142] Loss_D: -0.022786 Loss_G: -0.001602 Loss_D_real: -0.007464 Loss_D_fake 0.015322
[894/5000][390/535][92143] Loss_D: -0.024379 Loss_G: 0.011525 Loss_D_real: -0.014546 Loss_D_fake 0.009833
[894/5000][395/535][92144] Loss_D: -0.022156 Loss_G: -0.008458 Loss_D_real: -0.017387 Loss_D_fake 0.004769
[894/5000][400/535][92145] Loss_D: -0.023170 Loss_G: 0.008660 Loss_D_real: -0.026612 Loss_D_fake -0.003441
[894/5000][405/535][92146] Loss_D: -0.022808 Loss_G: -0.007663 Loss_D_real: -0.009513 Loss_D_fake 0.013295
[894/5000][410/535][92147] Loss_D: -0.023488 Loss_G: -0.007494 Loss_D_real: -0.002448 Loss_D_fake 0.021039
[894/5000][415/535][92148] Loss_D: -0.023088 Loss_G: 0.005853 Loss_D_real: -0.017237 Loss_D_fake 0.005851
[894/5000][420/535][92149] Loss_D: -0.022400 Loss_G: 0.028564 Loss_D_real: -0.019756 Loss_D_fake 0.002643
[894/5000][425/535][92150] Loss_D: -0.022966 Loss_G: 0.004586 Loss_D_real: -0.020650 Loss_D_fake 0.002316
[894/5000][430/535][92151] Loss_D: -0.022855 Loss_G: 0.029711 Loss_D_real: -0.030710 Loss_D_fake -0.007854
[894/5000][435/535][92152] Loss_D: -0.022426 Loss_G: -0.000132 Loss_D_real: -0.012200 Loss_D_fake 0.010226
[894/5000][440/535][92153] Loss_D: -0.023190 Loss_G: 0.017269 Loss_D_real: -0.017795 Loss_D_fake 0.005395
[894/5000][445/535][92154] Loss_D: -0.022134 Loss_G: -0.011707 Loss_D_real: 0.003988 Loss_D_fake 0.026122
[894/5000][450/535][92155] Loss_D: -0.022772 Loss_G: 0.009340 Loss_D_real: -0.016242 Loss_D_fake 0.006530
[894/5000][455/535][92156] Loss_D: -0.022218 Loss_G: -0.001547 Loss_D_real: -0.003017 Loss_D_fake 0.019201
[894/5000][460/535][92157] Loss_D: -0.023563 Loss_G: 0.022513 Loss_D_real: -0.015093 Loss_D_fake 0.008470
[894/5000][465/535][92158] Loss_D: -0.022985 Loss_G: 0.008912 Loss_D_real: -0.019415 Loss_D_fake 0.003569
[894/5000][470/535][92159] Loss_D: -0.022631 Loss_G: -0.015832 Loss_D_real: -0.008031 Loss_D_fake 0.014600
[894/5000][475/535][92160] Loss_D: -0.022442 Loss_G: 0.011354 Loss_D_real: -0.022930 Loss_D_fake -0.000488
[894/5000][480/535][92161] Loss_D: -0.023604 Loss_G: 0.002425 Loss_D_real: -0.011354 Loss_D_fake 0.012250
[894/5000][485/535][92162] Loss_D: -0.021124 Loss_G: 0.015919 Loss_D_real: -0.032019 Loss_D_fake -0.010895
[894/5000][490/535][92163] Loss_D: -0.022240 Loss_G: -0.010129 Loss_D_real: -0.004725 Loss_D_fake 0.017514
[894/5000][495/535][92164] Loss_D: -0.022428 Loss_G: 0.014722 Loss_D_real: -0.025029 Loss_D_fake -0.002601
[894/5000][500/535][92165] Loss_D: -0.021599 Loss_G: 0.022130 Loss_D_real: -0.035135 Loss_D_fake -0.013535
[894/5000][505/535][92166] Loss_D: -0.022757 Loss_G: 0.004341 Loss_D_real: -0.010803 Loss_D_fake 0.011954
[894/5000][510/535][92167] Loss_D: -0.024095 Loss_G: -0.000107 Loss_D_real: -0.005502 Loss_D_fake 0.018593
[894/5000][515/535][92168] Loss_D: -0.022276 Loss_G: 0.012498 Loss_D_real: -0.017838 Loss_D_fake 0.004437
[894/5000][520/535][92169] Loss_D: -0.022593 Loss_G: 0.004711 Loss_D_real: -0.009830 Loss_D_fake 0.012763
[894/5000][525/535][92170] Loss_D: -0.023192 Loss_G: 0.013880 Loss_D_real: -0.022771 Loss_D_fake 0.000421
[894/5000][530/535][92171] Loss_D: -0.022392 Loss_G: 0.012319 Loss_D_real: -0.022389 Loss_D_fake 0.000003
[894/5000][535/535][92172] Loss_D: -0.020965 Loss_G: 0.014787 Loss_D_real: -0.012610 Loss_D_fake 0.008355
[895/5000][5/535][92173] Loss_D: -0.022784 Loss_G: 0.001593 Loss_D_real: -0.011921 Loss_D_fake 0.010863
[895/5000][10/535][92174] Loss_D: -0.021782 Loss_G: 0.009720 Loss_D_real: -0.006954 Loss_D_fake 0.014829
[895/5000][15/535][92175] Loss_D: -0.021416 Loss_G: -0.006600 Loss_D_real: -0.000882 Loss_D_fake 0.020534
[895/5000][20/535][92176] Loss_D: -0.021680 Loss_G: 0.020356 Loss_D_real: -0.031376 Loss_D_fake -0.009696
[895/5000][25/535][92177] Loss_D: -0.022673 Loss_G: -0.003054 Loss_D_real: -0.011475 Loss_D_fake 0.011198
[895/5000][30/535][92178] Loss_D: -0.022920 Loss_G: 0.016893 Loss_D_real: -0.009259 Loss_D_fake 0.013661
[895/5000][35/535][92179] Loss_D: -0.022265 Loss_G: 0.016518 Loss_D_real: -0.019382 Loss_D_fake 0.002883
[895/5000][40/535][92180] Loss_D: -0.023092 Loss_G: 0.009208 Loss_D_real: -0.017493 Loss_D_fake 0.005600
[895/5000][45/535][92181] Loss_D: -0.023883 Loss_G: -0.002692 Loss_D_real: -0.023891 Loss_D_fake -0.000008
[895/5000][50/535][92182] Loss_D: -0.024139 Loss_G: -0.004368 Loss_D_real: -0.019508 Loss_D_fake 0.004630
[895/5000][55/535][92183] Loss_D: -0.021810 Loss_G: -0.001844 Loss_D_real: -0.005164 Loss_D_fake 0.016646
[895/5000][60/535][92184] Loss_D: -0.022015 Loss_G: 0.004455 Loss_D_real: -0.026663 Loss_D_fake -0.004648
[895/5000][65/535][92185] Loss_D: -0.021380 Loss_G: 0.029806 Loss_D_real: -0.036826 Loss_D_fake -0.015445
[895/5000][70/535][92186] Loss_D: -0.023638 Loss_G: -0.001267 Loss_D_real: -0.011377 Loss_D_fake 0.012261
[895/5000][75/535][92187] Loss_D: -0.023358 Loss_G: -0.001541 Loss_D_real: -0.011846 Loss_D_fake 0.011512
[895/5000][80/535][92188] Loss_D: -0.021782 Loss_G: 0.026226 Loss_D_real: -0.025781 Loss_D_fake -0.003999
[895/5000][85/535][92189] Loss_D: -0.021237 Loss_G: 0.014553 Loss_D_real: -0.030299 Loss_D_fake -0.009063
[895/5000][90/535][92190] Loss_D: -0.022121 Loss_G: 0.008219 Loss_D_real: -0.026505 Loss_D_fake -0.004384
[895/5000][95/535][92191] Loss_D: -0.022029 Loss_G: 0.003029 Loss_D_real: -0.021548 Loss_D_fake 0.000480
[895/5000][100/535][92192] Loss_D: -0.021758 Loss_G: 0.016838 Loss_D_real: -0.027495 Loss_D_fake -0.005736
[895/5000][105/535][92193] Loss_D: -0.022010 Loss_G: 0.008173 Loss_D_real: -0.014124 Loss_D_fake 0.007887
[895/5000][110/535][92194] Loss_D: -0.021841 Loss_G: 0.007042 Loss_D_real: -0.024218 Loss_D_fake -0.002376
[895/5000][115/535][92195] Loss_D: -0.021612 Loss_G: -0.006489 Loss_D_real: 0.001260 Loss_D_fake 0.022872
[895/5000][120/535][92196] Loss_D: -0.022244 Loss_G: 0.011282 Loss_D_real: -0.027531 Loss_D_fake -0.005287
[895/5000][125/535][92197] Loss_D: -0.023631 Loss_G: 0.020196 Loss_D_real: -0.020716 Loss_D_fake 0.002915
[895/5000][130/535][92198] Loss_D: -0.022660 Loss_G: 0.002715 Loss_D_real: -0.016450 Loss_D_fake 0.006210
[895/5000][135/535][92199] Loss_D: -0.021760 Loss_G: 0.023345 Loss_D_real: -0.030836 Loss_D_fake -0.009076
[895/5000][140/535][92200] Loss_D: -0.022682 Loss_G: -0.009363 Loss_D_real: 0.002057 Loss_D_fake 0.024738
[895/5000][145/535][92201] Loss_D: -0.021513 Loss_G: -0.000768 Loss_D_real: -0.005759 Loss_D_fake 0.015755
[895/5000][150/535][92202] Loss_D: -0.023212 Loss_G: 0.012382 Loss_D_real: -0.023512 Loss_D_fake -0.000299
[895/5000][155/535][92203] Loss_D: -0.022555 Loss_G: 0.001971 Loss_D_real: -0.017166 Loss_D_fake 0.005389
[895/5000][160/535][92204] Loss_D: -0.022373 Loss_G: -0.001101 Loss_D_real: -0.014072 Loss_D_fake 0.008301
[895/5000][165/535][92205] Loss_D: -0.021824 Loss_G: 0.029308 Loss_D_real: -0.022100 Loss_D_fake -0.000276
[895/5000][170/535][92206] Loss_D: -0.022167 Loss_G: 0.001831 Loss_D_real: -0.011298 Loss_D_fake 0.010869
[895/5000][175/535][92207] Loss_D: -0.022861 Loss_G: 0.017470 Loss_D_real: -0.020331 Loss_D_fake 0.002530
[895/5000][180/535][92208] Loss_D: -0.023252 Loss_G: -0.000944 Loss_D_real: -0.023322 Loss_D_fake -0.000070
[895/5000][185/535][92209] Loss_D: -0.022699 Loss_G: 0.022304 Loss_D_real: -0.026565 Loss_D_fake -0.003866
[895/5000][190/535][92210] Loss_D: -0.023372 Loss_G: 0.002332 Loss_D_real: -0.018281 Loss_D_fake 0.005090
[895/5000][195/535][92211] Loss_D: -0.024067 Loss_G: 0.010532 Loss_D_real: -0.022535 Loss_D_fake 0.001532
[895/5000][200/535][92212] Loss_D: -0.022508 Loss_G: 0.016814 Loss_D_real: -0.025430 Loss_D_fake -0.002923
[895/5000][205/535][92213] Loss_D: -0.022816 Loss_G: -0.005154 Loss_D_real: -0.007964 Loss_D_fake 0.014852
[895/5000][210/535][92214] Loss_D: -0.021635 Loss_G: -0.009261 Loss_D_real: -0.005031 Loss_D_fake 0.016604
[895/5000][215/535][92215] Loss_D: -0.021692 Loss_G: 0.028640 Loss_D_real: -0.033187 Loss_D_fake -0.011494
[895/5000][220/535][92216] Loss_D: -0.021936 Loss_G: 0.010932 Loss_D_real: -0.009786 Loss_D_fake 0.012151
[895/5000][225/535][92217] Loss_D: -0.022914 Loss_G: 0.007927 Loss_D_real: -0.011406 Loss_D_fake 0.011507
[895/5000][230/535][92218] Loss_D: -0.022709 Loss_G: -0.003765 Loss_D_real: -0.011428 Loss_D_fake 0.011281
[895/5000][235/535][92219] Loss_D: -0.023444 Loss_G: 0.013704 Loss_D_real: -0.019564 Loss_D_fake 0.003880
[895/5000][240/535][92220] Loss_D: -0.022556 Loss_G: 0.008314 Loss_D_real: -0.023265 Loss_D_fake -0.000709
[895/5000][245/535][92221] Loss_D: -0.023391 Loss_G: -0.010475 Loss_D_real: -0.000521 Loss_D_fake 0.022870
[895/5000][250/535][92222] Loss_D: -0.023444 Loss_G: -0.006278 Loss_D_real: -0.010231 Loss_D_fake 0.013213
[895/5000][255/535][92223] Loss_D: -0.023320 Loss_G: 0.000309 Loss_D_real: -0.009502 Loss_D_fake 0.013819
[895/5000][260/535][92224] Loss_D: -0.022648 Loss_G: -0.007603 Loss_D_real: -0.009018 Loss_D_fake 0.013630
[895/5000][265/535][92225] Loss_D: -0.023585 Loss_G: 0.011768 Loss_D_real: -0.029842 Loss_D_fake -0.006257
[895/5000][270/535][92226] Loss_D: -0.022756 Loss_G: 0.007136 Loss_D_real: -0.023793 Loss_D_fake -0.001037
[895/5000][275/535][92227] Loss_D: -0.021858 Loss_G: 0.019340 Loss_D_real: -0.021470 Loss_D_fake 0.000388
[895/5000][280/535][92228] Loss_D: -0.021310 Loss_G: 0.029115 Loss_D_real: -0.029170 Loss_D_fake -0.007860
[895/5000][285/535][92229] Loss_D: -0.022254 Loss_G: 0.002649 Loss_D_real: -0.019405 Loss_D_fake 0.002849
[895/5000][290/535][92230] Loss_D: -0.021727 Loss_G: 0.020239 Loss_D_real: -0.029853 Loss_D_fake -0.008126
[895/5000][295/535][92231] Loss_D: -0.021889 Loss_G: 0.011138 Loss_D_real: -0.014656 Loss_D_fake 0.007233
[895/5000][300/535][92232] Loss_D: -0.022367 Loss_G: -0.001758 Loss_D_real: -0.016974 Loss_D_fake 0.005393
[895/5000][305/535][92233] Loss_D: -0.022272 Loss_G: 0.010670 Loss_D_real: -0.026927 Loss_D_fake -0.004654
[895/5000][310/535][92234] Loss_D: -0.022963 Loss_G: 0.024126 Loss_D_real: -0.016276 Loss_D_fake 0.006687
[895/5000][315/535][92235] Loss_D: -0.022681 Loss_G: -0.009312 Loss_D_real: -0.010185 Loss_D_fake 0.012496
[895/5000][320/535][92236] Loss_D: -0.021993 Loss_G: 0.012759 Loss_D_real: -0.041193 Loss_D_fake -0.019201
[895/5000][325/535][92237] Loss_D: -0.023360 Loss_G: 0.000324 Loss_D_real: -0.015159 Loss_D_fake 0.008202
[895/5000][330/535][92238] Loss_D: -0.021944 Loss_G: 0.002162 Loss_D_real: -0.007053 Loss_D_fake 0.014891
[895/5000][335/535][92239] Loss_D: -0.022280 Loss_G: 0.022105 Loss_D_real: -0.025882 Loss_D_fake -0.003602
[895/5000][340/535][92240] Loss_D: -0.023404 Loss_G: 0.011166 Loss_D_real: -0.023556 Loss_D_fake -0.000152
[895/5000][345/535][92241] Loss_D: -0.022518 Loss_G: -0.008895 Loss_D_real: -0.002340 Loss_D_fake 0.020177
[895/5000][350/535][92242] Loss_D: -0.020912 Loss_G: -0.010486 Loss_D_real: -0.008484 Loss_D_fake 0.012427
[895/5000][355/535][92243] Loss_D: -0.020482 Loss_G: -0.004494 Loss_D_real: -0.008624 Loss_D_fake 0.011858
[895/5000][360/535][92244] Loss_D: -0.022784 Loss_G: 0.033011 Loss_D_real: -0.025497 Loss_D_fake -0.002713
[895/5000][365/535][92245] Loss_D: -0.023443 Loss_G: 0.013862 Loss_D_real: -0.029067 Loss_D_fake -0.005624
[895/5000][370/535][92246] Loss_D: -0.024093 Loss_G: 0.004488 Loss_D_real: -0.009314 Loss_D_fake 0.014779
[895/5000][375/535][92247] Loss_D: -0.023142 Loss_G: 0.000893 Loss_D_real: -0.029976 Loss_D_fake -0.006834
[895/5000][380/535][92248] Loss_D: -0.023750 Loss_G: 0.011962 Loss_D_real: -0.013724 Loss_D_fake 0.010026
[895/5000][385/535][92249] Loss_D: -0.021588 Loss_G: 0.029781 Loss_D_real: -0.026340 Loss_D_fake -0.004752
[895/5000][390/535][92250] Loss_D: -0.023892 Loss_G: 0.008048 Loss_D_real: -0.017693 Loss_D_fake 0.006199
[895/5000][395/535][92251] Loss_D: -0.022732 Loss_G: 0.012466 Loss_D_real: -0.016190 Loss_D_fake 0.006542
[895/5000][400/535][92252] Loss_D: -0.024249 Loss_G: -0.004410 Loss_D_real: -0.022912 Loss_D_fake 0.001337
[895/5000][405/535][92253] Loss_D: -0.021809 Loss_G: 0.021572 Loss_D_real: -0.034925 Loss_D_fake -0.013117
[895/5000][410/535][92254] Loss_D: -0.022270 Loss_G: -0.018399 Loss_D_real: -0.006707 Loss_D_fake 0.015563
[895/5000][415/535][92255] Loss_D: -0.021586 Loss_G: 0.007627 Loss_D_real: -0.018750 Loss_D_fake 0.002837
[895/5000][420/535][92256] Loss_D: -0.022665 Loss_G: 0.008377 Loss_D_real: -0.023394 Loss_D_fake -0.000729
[895/5000][425/535][92257] Loss_D: -0.022208 Loss_G: 0.002077 Loss_D_real: -0.018670 Loss_D_fake 0.003538
[895/5000][430/535][92258] Loss_D: -0.022793 Loss_G: 0.016966 Loss_D_real: -0.007313 Loss_D_fake 0.015480
[895/5000][435/535][92259] Loss_D: -0.022678 Loss_G: 0.000049 Loss_D_real: -0.015564 Loss_D_fake 0.007114
[895/5000][440/535][92260] Loss_D: -0.022834 Loss_G: -0.004135 Loss_D_real: -0.012711 Loss_D_fake 0.010123
[895/5000][445/535][92261] Loss_D: -0.022554 Loss_G: 0.016347 Loss_D_real: -0.033522 Loss_D_fake -0.010968
[895/5000][450/535][92262] Loss_D: -0.022565 Loss_G: -0.004328 Loss_D_real: -0.006487 Loss_D_fake 0.016077
[895/5000][455/535][92263] Loss_D: -0.023378 Loss_G: 0.013634 Loss_D_real: -0.021978 Loss_D_fake 0.001400
[895/5000][460/535][92264] Loss_D: -0.022487 Loss_G: 0.009760 Loss_D_real: -0.021245 Loss_D_fake 0.001243
[895/5000][465/535][92265] Loss_D: -0.023722 Loss_G: -0.001448 Loss_D_real: -0.008074 Loss_D_fake 0.015648
[895/5000][470/535][92266] Loss_D: -0.022491 Loss_G: 0.008001 Loss_D_real: -0.017963 Loss_D_fake 0.004528
[895/5000][475/535][92267] Loss_D: -0.021909 Loss_G: 0.007723 Loss_D_real: -0.010989 Loss_D_fake 0.010919
[895/5000][480/535][92268] Loss_D: -0.021811 Loss_G: 0.031126 Loss_D_real: -0.020594 Loss_D_fake 0.001217
[895/5000][485/535][92269] Loss_D: -0.022265 Loss_G: -0.010581 Loss_D_real: -0.017943 Loss_D_fake 0.004322
[895/5000][490/535][92270] Loss_D: -0.022488 Loss_G: -0.003416 Loss_D_real: -0.008742 Loss_D_fake 0.013746
[895/5000][495/535][92271] Loss_D: -0.023373 Loss_G: 0.014446 Loss_D_real: -0.025573 Loss_D_fake -0.002200
[895/5000][500/535][92272] Loss_D: -0.022976 Loss_G: 0.000752 Loss_D_real: -0.007187 Loss_D_fake 0.015789
[895/5000][505/535][92273] Loss_D: -0.021404 Loss_G: 0.004947 Loss_D_real: -0.009256 Loss_D_fake 0.012148
[895/5000][510/535][92274] Loss_D: -0.023546 Loss_G: 0.014557 Loss_D_real: -0.006258 Loss_D_fake 0.017288
[895/5000][515/535][92275] Loss_D: -0.022889 Loss_G: -0.001359 Loss_D_real: -0.014123 Loss_D_fake 0.008766
[895/5000][520/535][92276] Loss_D: -0.023291 Loss_G: 0.001094 Loss_D_real: -0.016313 Loss_D_fake 0.006978
[895/5000][525/535][92277] Loss_D: -0.023334 Loss_G: 0.002840 Loss_D_real: -0.024797 Loss_D_fake -0.001462
[895/5000][530/535][92278] Loss_D: -0.023222 Loss_G: -0.004321 Loss_D_real: -0.006422 Loss_D_fake 0.016801
[895/5000][535/535][92279] Loss_D: -0.018949 Loss_G: 0.020579 Loss_D_real: -0.011898 Loss_D_fake 0.007051
[896/5000][5/535][92280] Loss_D: -0.024581 Loss_G: 0.009621 Loss_D_real: -0.020210 Loss_D_fake 0.004371
[896/5000][10/535][92281] Loss_D: -0.022356 Loss_G: 0.002527 Loss_D_real: -0.017115 Loss_D_fake 0.005240
[896/5000][15/535][92282] Loss_D: -0.022845 Loss_G: 0.017258 Loss_D_real: -0.019359 Loss_D_fake 0.003486
[896/5000][20/535][92283] Loss_D: -0.021408 Loss_G: -0.005587 Loss_D_real: -0.009580 Loss_D_fake 0.011828
[896/5000][25/535][92284] Loss_D: -0.021304 Loss_G: -0.016737 Loss_D_real: 0.001513 Loss_D_fake 0.022817
[896/5000][30/535][92285] Loss_D: -0.021725 Loss_G: 0.018442 Loss_D_real: -0.039633 Loss_D_fake -0.017908
[896/5000][35/535][92286] Loss_D: -0.021964 Loss_G: 0.004300 Loss_D_real: -0.010222 Loss_D_fake 0.011742
[896/5000][40/535][92287] Loss_D: -0.022067 Loss_G: 0.018584 Loss_D_real: -0.031112 Loss_D_fake -0.009044
[896/5000][45/535][92288] Loss_D: -0.022007 Loss_G: 0.017325 Loss_D_real: -0.027055 Loss_D_fake -0.005048
[896/5000][50/535][92289] Loss_D: -0.023933 Loss_G: 0.006273 Loss_D_real: -0.019017 Loss_D_fake 0.004916
[896/5000][55/535][92290] Loss_D: -0.023036 Loss_G: 0.000833 Loss_D_real: -0.015533 Loss_D_fake 0.007503
[896/5000][60/535][92291] Loss_D: -0.021308 Loss_G: -0.009628 Loss_D_real: -0.004578 Loss_D_fake 0.016731
[896/5000][65/535][92292] Loss_D: -0.020880 Loss_G: -0.021742 Loss_D_real: -0.005173 Loss_D_fake 0.015707
[896/5000][70/535][92293] Loss_D: -0.022666 Loss_G: 0.015657 Loss_D_real: -0.011565 Loss_D_fake 0.011101
[896/5000][75/535][92294] Loss_D: -0.022330 Loss_G: 0.034749 Loss_D_real: -0.023250 Loss_D_fake -0.000920
[896/5000][80/535][92295] Loss_D: -0.023680 Loss_G: 0.013880 Loss_D_real: -0.022665 Loss_D_fake 0.001015
[896/5000][85/535][92296] Loss_D: -0.022433 Loss_G: 0.001604 Loss_D_real: -0.016840 Loss_D_fake 0.005593
[896/5000][90/535][92297] Loss_D: -0.021991 Loss_G: -0.002111 Loss_D_real: -0.011637 Loss_D_fake 0.010355
[896/5000][95/535][92298] Loss_D: -0.021537 Loss_G: 0.015883 Loss_D_real: -0.032602 Loss_D_fake -0.011065
[896/5000][100/535][92299] Loss_D: -0.020779 Loss_G: -0.011419 Loss_D_real: 0.004915 Loss_D_fake 0.025693
[896/5000][105/535][92300] Loss_D: -0.021824 Loss_G: 0.009954 Loss_D_real: -0.024476 Loss_D_fake -0.002653
[896/5000][110/535][92301] Loss_D: -0.023566 Loss_G: -0.006878 Loss_D_real: -0.019038 Loss_D_fake 0.004528
[896/5000][115/535][92302] Loss_D: -0.021753 Loss_G: 0.021265 Loss_D_real: -0.024744 Loss_D_fake -0.002991
[896/5000][120/535][92303] Loss_D: -0.023083 Loss_G: -0.003843 Loss_D_real: -0.015992 Loss_D_fake 0.007091
[896/5000][125/535][92304] Loss_D: -0.022727 Loss_G: -0.004771 Loss_D_real: -0.022763 Loss_D_fake -0.000036
[896/5000][130/535][92305] Loss_D: -0.022334 Loss_G: 0.010831 Loss_D_real: -0.015721 Loss_D_fake 0.006613
[896/5000][135/535][92306] Loss_D: -0.021415 Loss_G: -0.017847 Loss_D_real: -0.001500 Loss_D_fake 0.019915
[896/5000][140/535][92307] Loss_D: -0.022819 Loss_G: 0.026010 Loss_D_real: -0.025702 Loss_D_fake -0.002883
[896/5000][145/535][92308] Loss_D: -0.021688 Loss_G: 0.014307 Loss_D_real: -0.024617 Loss_D_fake -0.002929
[896/5000][150/535][92309] Loss_D: -0.023936 Loss_G: 0.012039 Loss_D_real: -0.012509 Loss_D_fake 0.011427
[896/5000][155/535][92310] Loss_D: -0.022138 Loss_G: 0.003906 Loss_D_real: -0.007046 Loss_D_fake 0.015092
[896/5000][160/535][92311] Loss_D: -0.022640 Loss_G: 0.011076 Loss_D_real: -0.020670 Loss_D_fake 0.001970
[896/5000][165/535][92312] Loss_D: -0.022439 Loss_G: -0.001929 Loss_D_real: -0.007640 Loss_D_fake 0.014799
[896/5000][170/535][92313] Loss_D: -0.023402 Loss_G: 0.013200 Loss_D_real: -0.019400 Loss_D_fake 0.004002
[896/5000][175/535][92314] Loss_D: -0.023557 Loss_G: 0.015958 Loss_D_real: -0.020884 Loss_D_fake 0.002673
[896/5000][180/535][92315] Loss_D: -0.022730 Loss_G: 0.005829 Loss_D_real: -0.030537 Loss_D_fake -0.007807
[896/5000][185/535][92316] Loss_D: -0.023516 Loss_G: 0.000966 Loss_D_real: -0.027856 Loss_D_fake -0.004340
[896/5000][190/535][92317] Loss_D: -0.023969 Loss_G: 0.006716 Loss_D_real: 0.000881 Loss_D_fake 0.024850
[896/5000][195/535][92318] Loss_D: -0.023251 Loss_G: -0.010217 Loss_D_real: -0.013255 Loss_D_fake 0.009996
[896/5000][200/535][92319] Loss_D: -0.021265 Loss_G: 0.008068 Loss_D_real: -0.026287 Loss_D_fake -0.005023
[896/5000][205/535][92320] Loss_D: -0.023511 Loss_G: 0.019417 Loss_D_real: -0.020264 Loss_D_fake 0.003247
[896/5000][210/535][92321] Loss_D: -0.021472 Loss_G: 0.011333 Loss_D_real: -0.020631 Loss_D_fake 0.000842
[896/5000][215/535][92322] Loss_D: -0.020651 Loss_G: 0.026249 Loss_D_real: -0.038652 Loss_D_fake -0.018001
[896/5000][220/535][92323] Loss_D: -0.022149 Loss_G: 0.011833 Loss_D_real: -0.031227 Loss_D_fake -0.009077
[896/5000][225/535][92324] Loss_D: -0.022342 Loss_G: 0.011689 Loss_D_real: -0.027633 Loss_D_fake -0.005291
[896/5000][230/535][92325] Loss_D: -0.022281 Loss_G: -0.004881 Loss_D_real: -0.018722 Loss_D_fake 0.003558
[896/5000][235/535][92326] Loss_D: -0.022090 Loss_G: -0.010529 Loss_D_real: -0.001907 Loss_D_fake 0.020183
[896/5000][240/535][92327] Loss_D: -0.022758 Loss_G: -0.002862 Loss_D_real: -0.004636 Loss_D_fake 0.018121
[896/5000][245/535][92328] Loss_D: -0.022922 Loss_G: 0.000822 Loss_D_real: -0.013654 Loss_D_fake 0.009268
[896/5000][250/535][92329] Loss_D: -0.021370 Loss_G: 0.029125 Loss_D_real: -0.034326 Loss_D_fake -0.012956
[896/5000][255/535][92330] Loss_D: -0.023170 Loss_G: -0.005129 Loss_D_real: -0.011006 Loss_D_fake 0.012164
[896/5000][260/535][92331] Loss_D: -0.021534 Loss_G: -0.003168 Loss_D_real: -0.010723 Loss_D_fake 0.010812
[896/5000][265/535][92332] Loss_D: -0.022304 Loss_G: 0.019450 Loss_D_real: -0.027686 Loss_D_fake -0.005382
[896/5000][270/535][92333] Loss_D: -0.022511 Loss_G: 0.023138 Loss_D_real: -0.021804 Loss_D_fake 0.000707
[896/5000][275/535][92334] Loss_D: -0.022847 Loss_G: -0.003154 Loss_D_real: -0.009316 Loss_D_fake 0.013531
[896/5000][280/535][92335] Loss_D: -0.022887 Loss_G: 0.006416 Loss_D_real: -0.014425 Loss_D_fake 0.008462
[896/5000][285/535][92336] Loss_D: -0.023120 Loss_G: -0.008304 Loss_D_real: -0.018118 Loss_D_fake 0.005002
[896/5000][290/535][92337] Loss_D: -0.022909 Loss_G: -0.005922 Loss_D_real: -0.017669 Loss_D_fake 0.005241
[896/5000][295/535][92338] Loss_D: -0.023299 Loss_G: -0.000131 Loss_D_real: -0.012522 Loss_D_fake 0.010776
[896/5000][300/535][92339] Loss_D: -0.023678 Loss_G: 0.012319 Loss_D_real: -0.017656 Loss_D_fake 0.006022
[896/5000][305/535][92340] Loss_D: -0.022636 Loss_G: -0.003979 Loss_D_real: -0.011463 Loss_D_fake 0.011173
[896/5000][310/535][92341] Loss_D: -0.023860 Loss_G: 0.006399 Loss_D_real: -0.020373 Loss_D_fake 0.003487
[896/5000][315/535][92342] Loss_D: -0.020958 Loss_G: -0.016572 Loss_D_real: 0.000115 Loss_D_fake 0.021072
[896/5000][320/535][92343] Loss_D: -0.022124 Loss_G: 0.010999 Loss_D_real: -0.026433 Loss_D_fake -0.004309
[896/5000][325/535][92344] Loss_D: -0.023162 Loss_G: 0.009847 Loss_D_real: -0.018541 Loss_D_fake 0.004621
[896/5000][330/535][92345] Loss_D: -0.022240 Loss_G: -0.001073 Loss_D_real: -0.009180 Loss_D_fake 0.013060
[896/5000][335/535][92346] Loss_D: -0.022886 Loss_G: 0.009426 Loss_D_real: -0.013299 Loss_D_fake 0.009586
[896/5000][340/535][92347] Loss_D: -0.022038 Loss_G: 0.016539 Loss_D_real: -0.026704 Loss_D_fake -0.004666
[896/5000][345/535][92348] Loss_D: -0.022943 Loss_G: 0.001840 Loss_D_real: -0.013321 Loss_D_fake 0.009622
[896/5000][350/535][92349] Loss_D: -0.023863 Loss_G: 0.005878 Loss_D_real: -0.015871 Loss_D_fake 0.007992
[896/5000][355/535][92350] Loss_D: -0.022499 Loss_G: -0.009605 Loss_D_real: -0.005573 Loss_D_fake 0.016926
[896/5000][360/535][92351] Loss_D: -0.022624 Loss_G: 0.014935 Loss_D_real: -0.022768 Loss_D_fake -0.000144
[896/5000][365/535][92352] Loss_D: -0.022132 Loss_G: 0.022264 Loss_D_real: -0.024726 Loss_D_fake -0.002594
[896/5000][370/535][92353] Loss_D: -0.022365 Loss_G: 0.017114 Loss_D_real: -0.025581 Loss_D_fake -0.003216
[896/5000][375/535][92354] Loss_D: -0.021867 Loss_G: -0.012246 Loss_D_real: -0.003958 Loss_D_fake 0.017909
[896/5000][380/535][92355] Loss_D: -0.021957 Loss_G: 0.015576 Loss_D_real: -0.027018 Loss_D_fake -0.005060
[896/5000][385/535][92356] Loss_D: -0.022698 Loss_G: 0.000275 Loss_D_real: -0.027162 Loss_D_fake -0.004464
[896/5000][390/535][92357] Loss_D: -0.022848 Loss_G: 0.005331 Loss_D_real: -0.016553 Loss_D_fake 0.006295
[896/5000][395/535][92358] Loss_D: -0.023238 Loss_G: 0.026714 Loss_D_real: -0.028692 Loss_D_fake -0.005454
[896/5000][400/535][92359] Loss_D: -0.022467 Loss_G: 0.000257 Loss_D_real: -0.010533 Loss_D_fake 0.011934
[896/5000][405/535][92360] Loss_D: -0.021884 Loss_G: -0.000075 Loss_D_real: -0.015997 Loss_D_fake 0.005888
[896/5000][410/535][92361] Loss_D: -0.020842 Loss_G: 0.021914 Loss_D_real: -0.029637 Loss_D_fake -0.008796
[896/5000][415/535][92362] Loss_D: -0.023493 Loss_G: -0.001940 Loss_D_real: -0.015604 Loss_D_fake 0.007889
[896/5000][420/535][92363] Loss_D: -0.022337 Loss_G: 0.006684 Loss_D_real: -0.026821 Loss_D_fake -0.004484
[896/5000][425/535][92364] Loss_D: -0.023332 Loss_G: -0.012480 Loss_D_real: -0.013330 Loss_D_fake 0.010002
[896/5000][430/535][92365] Loss_D: -0.022019 Loss_G: 0.000105 Loss_D_real: -0.011658 Loss_D_fake 0.010360
[896/5000][435/535][92366] Loss_D: -0.021662 Loss_G: 0.007903 Loss_D_real: -0.033550 Loss_D_fake -0.011887
[896/5000][440/535][92367] Loss_D: -0.023592 Loss_G: 0.010229 Loss_D_real: -0.021959 Loss_D_fake 0.001633
[896/5000][445/535][92368] Loss_D: -0.021534 Loss_G: 0.004504 Loss_D_real: -0.030687 Loss_D_fake -0.009153
[896/5000][450/535][92369] Loss_D: -0.022900 Loss_G: 0.009696 Loss_D_real: -0.026222 Loss_D_fake -0.003322
[896/5000][455/535][92370] Loss_D: -0.022512 Loss_G: -0.002817 Loss_D_real: -0.009558 Loss_D_fake 0.012954
[896/5000][460/535][92371] Loss_D: -0.022150 Loss_G: -0.003321 Loss_D_real: -0.016163 Loss_D_fake 0.005986
[896/5000][465/535][92372] Loss_D: -0.022983 Loss_G: 0.014371 Loss_D_real: -0.027542 Loss_D_fake -0.004559
[896/5000][470/535][92373] Loss_D: -0.023049 Loss_G: 0.011525 Loss_D_real: -0.014896 Loss_D_fake 0.008152
[896/5000][475/535][92374] Loss_D: -0.024502 Loss_G: 0.016010 Loss_D_real: -0.025186 Loss_D_fake -0.000685
[896/5000][480/535][92375] Loss_D: -0.021161 Loss_G: -0.013270 Loss_D_real: -0.001513 Loss_D_fake 0.019648
[896/5000][485/535][92376] Loss_D: -0.020945 Loss_G: 0.024076 Loss_D_real: -0.041192 Loss_D_fake -0.020247
[896/5000][490/535][92377] Loss_D: -0.023724 Loss_G: 0.009861 Loss_D_real: -0.018220 Loss_D_fake 0.005503
[896/5000][495/535][92378] Loss_D: -0.021919 Loss_G: 0.019903 Loss_D_real: -0.019990 Loss_D_fake 0.001930
[896/5000][500/535][92379] Loss_D: -0.022976 Loss_G: 0.002183 Loss_D_real: -0.020585 Loss_D_fake 0.002390
[896/5000][505/535][92380] Loss_D: -0.022851 Loss_G: 0.023281 Loss_D_real: -0.021838 Loss_D_fake 0.001013
[896/5000][510/535][92381] Loss_D: -0.022655 Loss_G: -0.003476 Loss_D_real: -0.010040 Loss_D_fake 0.012615
[896/5000][515/535][92382] Loss_D: -0.020916 Loss_G: 0.017939 Loss_D_real: -0.037359 Loss_D_fake -0.016442
[896/5000][520/535][92383] Loss_D: -0.021729 Loss_G: 0.000725 Loss_D_real: -0.012640 Loss_D_fake 0.009090
[896/5000][525/535][92384] Loss_D: -0.022037 Loss_G: -0.000038 Loss_D_real: -0.018403 Loss_D_fake 0.003634
[896/5000][530/535][92385] Loss_D: -0.022222 Loss_G: -0.002320 Loss_D_real: -0.013688 Loss_D_fake 0.008535
[896/5000][535/535][92386] Loss_D: -0.020422 Loss_G: 0.021128 Loss_D_real: -0.028351 Loss_D_fake -0.007929
[897/5000][5/535][92387] Loss_D: -0.022688 Loss_G: 0.014901 Loss_D_real: -0.013123 Loss_D_fake 0.009566
[897/5000][10/535][92388] Loss_D: -0.023181 Loss_G: 0.000444 Loss_D_real: -0.019992 Loss_D_fake 0.003189
[897/5000][15/535][92389] Loss_D: -0.023031 Loss_G: 0.012797 Loss_D_real: -0.007460 Loss_D_fake 0.015572
[897/5000][20/535][92390] Loss_D: -0.022645 Loss_G: 0.005948 Loss_D_real: -0.019045 Loss_D_fake 0.003600
[897/5000][25/535][92391] Loss_D: -0.021611 Loss_G: -0.002049 Loss_D_real: 0.002039 Loss_D_fake 0.023650
[897/5000][30/535][92392] Loss_D: -0.021460 Loss_G: 0.018417 Loss_D_real: -0.029446 Loss_D_fake -0.007986
[897/5000][35/535][92393] Loss_D: -0.022301 Loss_G: 0.014184 Loss_D_real: -0.029409 Loss_D_fake -0.007108
[897/5000][40/535][92394] Loss_D: -0.023147 Loss_G: 0.010115 Loss_D_real: -0.028104 Loss_D_fake -0.004957
[897/5000][45/535][92395] Loss_D: -0.022086 Loss_G: 0.013724 Loss_D_real: -0.019448 Loss_D_fake 0.002639
[897/5000][50/535][92396] Loss_D: -0.024108 Loss_G: -0.000710 Loss_D_real: -0.008906 Loss_D_fake 0.015202
[897/5000][55/535][92397] Loss_D: -0.021439 Loss_G: 0.013518 Loss_D_real: -0.022140 Loss_D_fake -0.000701
[897/5000][60/535][92398] Loss_D: -0.022933 Loss_G: -0.004712 Loss_D_real: -0.005075 Loss_D_fake 0.017857
[897/5000][65/535][92399] Loss_D: -0.022799 Loss_G: -0.010974 Loss_D_real: -0.014353 Loss_D_fake 0.008446
[897/5000][70/535][92400] Loss_D: -0.022595 Loss_G: 0.011052 Loss_D_real: -0.033669 Loss_D_fake -0.011074
[897/5000][75/535][92401] Loss_D: -0.023369 Loss_G: 0.018130 Loss_D_real: -0.014286 Loss_D_fake 0.009082
[897/5000][80/535][92402] Loss_D: -0.022825 Loss_G: 0.003943 Loss_D_real: -0.020760 Loss_D_fake 0.002065
[897/5000][85/535][92403] Loss_D: -0.022637 Loss_G: 0.000105 Loss_D_real: -0.009014 Loss_D_fake 0.013623
[897/5000][90/535][92404] Loss_D: -0.023002 Loss_G: 0.004315 Loss_D_real: -0.003816 Loss_D_fake 0.019186
[897/5000][95/535][92405] Loss_D: -0.023931 Loss_G: 0.012500 Loss_D_real: -0.006169 Loss_D_fake 0.017762
[897/5000][100/535][92406] Loss_D: -0.022563 Loss_G: -0.008403 Loss_D_real: -0.023102 Loss_D_fake -0.000539
[897/5000][105/535][92407] Loss_D: -0.022781 Loss_G: -0.000294 Loss_D_real: -0.015244 Loss_D_fake 0.007537
[897/5000][110/535][92408] Loss_D: -0.023316 Loss_G: 0.004661 Loss_D_real: -0.018320 Loss_D_fake 0.004996
[897/5000][115/535][92409] Loss_D: -0.021731 Loss_G: 0.016098 Loss_D_real: -0.023011 Loss_D_fake -0.001280
[897/5000][120/535][92410] Loss_D: -0.023272 Loss_G: -0.005159 Loss_D_real: -0.011917 Loss_D_fake 0.011355
[897/5000][125/535][92411] Loss_D: -0.022855 Loss_G: 0.005127 Loss_D_real: -0.022743 Loss_D_fake 0.000112
[897/5000][130/535][92412] Loss_D: -0.023883 Loss_G: 0.007374 Loss_D_real: -0.012551 Loss_D_fake 0.011332
[897/5000][135/535][92413] Loss_D: -0.022883 Loss_G: -0.001824 Loss_D_real: -0.004833 Loss_D_fake 0.018050
[897/5000][140/535][92414] Loss_D: -0.021768 Loss_G: 0.034529 Loss_D_real: -0.032002 Loss_D_fake -0.010234
[897/5000][145/535][92415] Loss_D: -0.021149 Loss_G: 0.006917 Loss_D_real: -0.013976 Loss_D_fake 0.007172
[897/5000][150/535][92416] Loss_D: -0.023462 Loss_G: 0.004222 Loss_D_real: -0.016924 Loss_D_fake 0.006538
[897/5000][155/535][92417] Loss_D: -0.021618 Loss_G: 0.022713 Loss_D_real: -0.025319 Loss_D_fake -0.003701
[897/5000][160/535][92418] Loss_D: -0.020658 Loss_G: -0.007269 Loss_D_real: 0.002195 Loss_D_fake 0.022852
[897/5000][165/535][92419] Loss_D: -0.022864 Loss_G: -0.006966 Loss_D_real: -0.016269 Loss_D_fake 0.006595
[897/5000][170/535][92420] Loss_D: -0.022730 Loss_G: 0.014325 Loss_D_real: -0.009768 Loss_D_fake 0.012962
[897/5000][175/535][92421] Loss_D: -0.022388 Loss_G: 0.009230 Loss_D_real: -0.009779 Loss_D_fake 0.012609
[897/5000][180/535][92422] Loss_D: -0.022621 Loss_G: 0.011863 Loss_D_real: -0.027585 Loss_D_fake -0.004964
[897/5000][185/535][92423] Loss_D: -0.021969 Loss_G: -0.015013 Loss_D_real: -0.004810 Loss_D_fake 0.017159
[897/5000][190/535][92424] Loss_D: -0.020211 Loss_G: 0.013159 Loss_D_real: -0.028095 Loss_D_fake -0.007884
[897/5000][195/535][92425] Loss_D: -0.023042 Loss_G: -0.003545 Loss_D_real: -0.006178 Loss_D_fake 0.016864
[897/5000][200/535][92426] Loss_D: -0.021472 Loss_G: 0.011035 Loss_D_real: -0.023835 Loss_D_fake -0.002362
[897/5000][205/535][92427] Loss_D: -0.022436 Loss_G: 0.009007 Loss_D_real: -0.008637 Loss_D_fake 0.013799
[897/5000][210/535][92428] Loss_D: -0.023031 Loss_G: 0.012240 Loss_D_real: -0.011835 Loss_D_fake 0.011196
[897/5000][215/535][92429] Loss_D: -0.023465 Loss_G: 0.030115 Loss_D_real: -0.035649 Loss_D_fake -0.012184
[897/5000][220/535][92430] Loss_D: -0.022055 Loss_G: 0.011333 Loss_D_real: -0.034517 Loss_D_fake -0.012462
[897/5000][225/535][92431] Loss_D: -0.023922 Loss_G: -0.000309 Loss_D_real: -0.017206 Loss_D_fake 0.006716
[897/5000][230/535][92432] Loss_D: -0.023761 Loss_G: 0.010912 Loss_D_real: -0.020081 Loss_D_fake 0.003680
[897/5000][235/535][92433] Loss_D: -0.023825 Loss_G: 0.002562 Loss_D_real: -0.015905 Loss_D_fake 0.007920
[897/5000][240/535][92434] Loss_D: -0.022070 Loss_G: -0.004154 Loss_D_real: -0.010749 Loss_D_fake 0.011320
[897/5000][245/535][92435] Loss_D: -0.022675 Loss_G: 0.023096 Loss_D_real: -0.026246 Loss_D_fake -0.003570
[897/5000][250/535][92436] Loss_D: -0.023135 Loss_G: 0.015592 Loss_D_real: -0.017591 Loss_D_fake 0.005544
[897/5000][255/535][92437] Loss_D: -0.022246 Loss_G: -0.001108 Loss_D_real: -0.016716 Loss_D_fake 0.005530
[897/5000][260/535][92438] Loss_D: -0.022174 Loss_G: 0.011276 Loss_D_real: -0.021815 Loss_D_fake 0.000359
[897/5000][265/535][92439] Loss_D: -0.022316 Loss_G: -0.014111 Loss_D_real: -0.000534 Loss_D_fake 0.021782
[897/5000][270/535][92440] Loss_D: -0.021407 Loss_G: 0.008310 Loss_D_real: -0.016474 Loss_D_fake 0.004934
[897/5000][275/535][92441] Loss_D: -0.023133 Loss_G: 0.014950 Loss_D_real: -0.014993 Loss_D_fake 0.008140
[897/5000][280/535][92442] Loss_D: -0.022359 Loss_G: 0.011900 Loss_D_real: -0.028098 Loss_D_fake -0.005738
[897/5000][285/535][92443] Loss_D: -0.022577 Loss_G: 0.013357 Loss_D_real: -0.028966 Loss_D_fake -0.006388
[897/5000][290/535][92444] Loss_D: -0.022852 Loss_G: 0.010175 Loss_D_real: -0.024613 Loss_D_fake -0.001761
[897/5000][295/535][92445] Loss_D: -0.023030 Loss_G: -0.009359 Loss_D_real: 0.001800 Loss_D_fake 0.024830
[897/5000][300/535][92446] Loss_D: -0.023977 Loss_G: 0.017678 Loss_D_real: -0.023462 Loss_D_fake 0.000515
[897/5000][305/535][92447] Loss_D: -0.023305 Loss_G: 0.014428 Loss_D_real: -0.020195 Loss_D_fake 0.003110
[897/5000][310/535][92448] Loss_D: -0.023771 Loss_G: 0.000959 Loss_D_real: -0.002853 Loss_D_fake 0.020918
[897/5000][315/535][92449] Loss_D: -0.022951 Loss_G: 0.011609 Loss_D_real: -0.020237 Loss_D_fake 0.002714
[897/5000][320/535][92450] Loss_D: -0.023519 Loss_G: 0.022719 Loss_D_real: -0.014292 Loss_D_fake 0.009227
[897/5000][325/535][92451] Loss_D: -0.023689 Loss_G: 0.005411 Loss_D_real: -0.025057 Loss_D_fake -0.001368
[897/5000][330/535][92452] Loss_D: -0.021291 Loss_G: -0.000195 Loss_D_real: -0.012394 Loss_D_fake 0.008897
[897/5000][335/535][92453] Loss_D: -0.022674 Loss_G: 0.018652 Loss_D_real: -0.024390 Loss_D_fake -0.001717
[897/5000][340/535][92454] Loss_D: -0.023059 Loss_G: -0.019178 Loss_D_real: 0.001154 Loss_D_fake 0.024213
[897/5000][345/535][92455] Loss_D: -0.024076 Loss_G: 0.022575 Loss_D_real: -0.028302 Loss_D_fake -0.004226
[897/5000][350/535][92456] Loss_D: -0.021230 Loss_G: -0.001045 Loss_D_real: -0.018237 Loss_D_fake 0.002993
[897/5000][355/535][92457] Loss_D: -0.020884 Loss_G: 0.031556 Loss_D_real: -0.029401 Loss_D_fake -0.008517
[897/5000][360/535][92458] Loss_D: -0.022839 Loss_G: 0.006314 Loss_D_real: -0.024086 Loss_D_fake -0.001247
[897/5000][365/535][92459] Loss_D: -0.023348 Loss_G: -0.000335 Loss_D_real: -0.023886 Loss_D_fake -0.000537
[897/5000][370/535][92460] Loss_D: -0.022213 Loss_G: -0.002106 Loss_D_real: -0.015603 Loss_D_fake 0.006610
[897/5000][375/535][92461] Loss_D: -0.022029 Loss_G: 0.012224 Loss_D_real: -0.025435 Loss_D_fake -0.003406
[897/5000][380/535][92462] Loss_D: -0.022702 Loss_G: 0.011765 Loss_D_real: -0.026459 Loss_D_fake -0.003757
[897/5000][385/535][92463] Loss_D: -0.022585 Loss_G: 0.017167 Loss_D_real: -0.012573 Loss_D_fake 0.010013
[897/5000][390/535][92464] Loss_D: -0.022220 Loss_G: 0.005166 Loss_D_real: -0.022947 Loss_D_fake -0.000727
[897/5000][395/535][92465] Loss_D: -0.022286 Loss_G: 0.014649 Loss_D_real: -0.021702 Loss_D_fake 0.000584
[897/5000][400/535][92466] Loss_D: -0.021636 Loss_G: -0.008790 Loss_D_real: -0.013863 Loss_D_fake 0.007773
[897/5000][405/535][92467] Loss_D: -0.022311 Loss_G: -0.004196 Loss_D_real: -0.012698 Loss_D_fake 0.009613
[897/5000][410/535][92468] Loss_D: -0.022215 Loss_G: 0.011975 Loss_D_real: -0.024178 Loss_D_fake -0.001963
[897/5000][415/535][92469] Loss_D: -0.023832 Loss_G: 0.015865 Loss_D_real: -0.019021 Loss_D_fake 0.004811
[897/5000][420/535][92470] Loss_D: -0.022179 Loss_G: 0.002401 Loss_D_real: -0.019120 Loss_D_fake 0.003059
[897/5000][425/535][92471] Loss_D: -0.021910 Loss_G: -0.008784 Loss_D_real: -0.014580 Loss_D_fake 0.007330
[897/5000][430/535][92472] Loss_D: -0.022738 Loss_G: 0.020346 Loss_D_real: -0.021354 Loss_D_fake 0.001384
[897/5000][435/535][92473] Loss_D: -0.023615 Loss_G: 0.011557 Loss_D_real: -0.027806 Loss_D_fake -0.004191
[897/5000][440/535][92474] Loss_D: -0.021308 Loss_G: 0.010412 Loss_D_real: -0.020364 Loss_D_fake 0.000944
[897/5000][445/535][92475] Loss_D: -0.021139 Loss_G: 0.023510 Loss_D_real: -0.033585 Loss_D_fake -0.012446
[897/5000][450/535][92476] Loss_D: -0.020924 Loss_G: 0.009988 Loss_D_real: -0.017636 Loss_D_fake 0.003288
[897/5000][455/535][92477] Loss_D: -0.021772 Loss_G: 0.024966 Loss_D_real: -0.030345 Loss_D_fake -0.008572
[897/5000][460/535][92478] Loss_D: -0.022907 Loss_G: -0.006495 Loss_D_real: -0.008031 Loss_D_fake 0.014876
[897/5000][465/535][92479] Loss_D: -0.021048 Loss_G: -0.002004 Loss_D_real: -0.011169 Loss_D_fake 0.009880
[897/5000][470/535][92480] Loss_D: -0.021329 Loss_G: 0.017330 Loss_D_real: -0.026499 Loss_D_fake -0.005170
[897/5000][475/535][92481] Loss_D: -0.023758 Loss_G: -0.004678 Loss_D_real: -0.023021 Loss_D_fake 0.000737
[897/5000][480/535][92482] Loss_D: -0.023308 Loss_G: -0.003247 Loss_D_real: -0.007861 Loss_D_fake 0.015447
[897/5000][485/535][92483] Loss_D: -0.021275 Loss_G: 0.020179 Loss_D_real: -0.028494 Loss_D_fake -0.007219
[897/5000][490/535][92484] Loss_D: -0.023581 Loss_G: -0.001215 Loss_D_real: -0.011743 Loss_D_fake 0.011838
[897/5000][495/535][92485] Loss_D: -0.021928 Loss_G: 0.026028 Loss_D_real: -0.030002 Loss_D_fake -0.008074
[897/5000][500/535][92486] Loss_D: -0.022073 Loss_G: 0.024976 Loss_D_real: -0.022833 Loss_D_fake -0.000760
[897/5000][505/535][92487] Loss_D: -0.023367 Loss_G: 0.007898 Loss_D_real: -0.015960 Loss_D_fake 0.007407
[897/5000][510/535][92488] Loss_D: -0.022261 Loss_G: 0.009279 Loss_D_real: -0.018365 Loss_D_fake 0.003896
[897/5000][515/535][92489] Loss_D: -0.023169 Loss_G: -0.000633 Loss_D_real: -0.016520 Loss_D_fake 0.006649
[897/5000][520/535][92490] Loss_D: -0.024258 Loss_G: 0.012934 Loss_D_real: -0.016692 Loss_D_fake 0.007566
[897/5000][525/535][92491] Loss_D: -0.022947 Loss_G: 0.011776 Loss_D_real: -0.021019 Loss_D_fake 0.001928
[897/5000][530/535][92492] Loss_D: -0.022653 Loss_G: 0.012154 Loss_D_real: -0.028676 Loss_D_fake -0.006023
[897/5000][535/535][92493] Loss_D: -0.024977 Loss_G: -0.013106 Loss_D_real: -0.031292 Loss_D_fake -0.006314
[898/5000][5/535][92494] Loss_D: -0.021777 Loss_G: 0.009732 Loss_D_real: -0.028708 Loss_D_fake -0.006931
[898/5000][10/535][92495] Loss_D: -0.022228 Loss_G: -0.003092 Loss_D_real: -0.012117 Loss_D_fake 0.010111
[898/5000][15/535][92496] Loss_D: -0.022569 Loss_G: 0.006487 Loss_D_real: -0.015290 Loss_D_fake 0.007279
[898/5000][20/535][92497] Loss_D: -0.022616 Loss_G: 0.025242 Loss_D_real: -0.030600 Loss_D_fake -0.007984
[898/5000][25/535][92498] Loss_D: -0.022603 Loss_G: 0.031143 Loss_D_real: -0.029990 Loss_D_fake -0.007388
[898/5000][30/535][92499] Loss_D: -0.021819 Loss_G: 0.016704 Loss_D_real: -0.014655 Loss_D_fake 0.007163
[898/5000][35/535][92500] Loss_D: -0.022915 Loss_G: 0.005580 Loss_D_real: -0.017266 Loss_D_fake 0.005650
[898/5000][135/535][92501] Loss_D: -0.025200 Loss_G: -0.021013 Loss_D_real: 0.004577 Loss_D_fake 0.029778
[898/5000][140/535][92502] Loss_D: -0.021789 Loss_G: 0.014680 Loss_D_real: -0.025316 Loss_D_fake -0.003527
[898/5000][145/535][92503] Loss_D: -0.020242 Loss_G: -0.008652 Loss_D_real: -0.015979 Loss_D_fake 0.004262
[898/5000][150/535][92504] Loss_D: -0.022472 Loss_G: 0.001762 Loss_D_real: -0.015812 Loss_D_fake 0.006660
[898/5000][155/535][92505] Loss_D: -0.021398 Loss_G: 0.015476 Loss_D_real: -0.030516 Loss_D_fake -0.009119
[898/5000][160/535][92506] Loss_D: -0.020750 Loss_G: 0.004830 Loss_D_real: -0.010930 Loss_D_fake 0.009820
[898/5000][165/535][92507] Loss_D: -0.020046 Loss_G: -0.013798 Loss_D_real: 0.004022 Loss_D_fake 0.024068
[898/5000][170/535][92508] Loss_D: -0.021189 Loss_G: 0.004923 Loss_D_real: -0.019457 Loss_D_fake 0.001731
[898/5000][175/535][92509] Loss_D: -0.022311 Loss_G: 0.011921 Loss_D_real: -0.016467 Loss_D_fake 0.005844
[898/5000][180/535][92510] Loss_D: -0.021851 Loss_G: 0.009153 Loss_D_real: -0.019770 Loss_D_fake 0.002081
[898/5000][185/535][92511] Loss_D: -0.021764 Loss_G: 0.023676 Loss_D_real: -0.031979 Loss_D_fake -0.010215
[898/5000][190/535][92512] Loss_D: -0.021530 Loss_G: 0.010494 Loss_D_real: -0.025482 Loss_D_fake -0.003952
[898/5000][195/535][92513] Loss_D: -0.022519 Loss_G: 0.011800 Loss_D_real: -0.023467 Loss_D_fake -0.000948
[898/5000][200/535][92514] Loss_D: -0.023172 Loss_G: -0.002130 Loss_D_real: -0.011598 Loss_D_fake 0.011574
[898/5000][205/535][92515] Loss_D: -0.022495 Loss_G: 0.013882 Loss_D_real: -0.012667 Loss_D_fake 0.009828
[898/5000][210/535][92516] Loss_D: -0.023198 Loss_G: -0.001072 Loss_D_real: -0.014234 Loss_D_fake 0.008963
[898/5000][215/535][92517] Loss_D: -0.022238 Loss_G: -0.002153 Loss_D_real: -0.009995 Loss_D_fake 0.012242
[898/5000][220/535][92518] Loss_D: -0.023122 Loss_G: -0.006444 Loss_D_real: -0.005154 Loss_D_fake 0.017968
[898/5000][225/535][92519] Loss_D: -0.021910 Loss_G: -0.010401 Loss_D_real: -0.009197 Loss_D_fake 0.012713
[898/5000][230/535][92520] Loss_D: -0.024385 Loss_G: 0.020967 Loss_D_real: -0.030708 Loss_D_fake -0.006323
[898/5000][235/535][92521] Loss_D: -0.023181 Loss_G: 0.004774 Loss_D_real: -0.013251 Loss_D_fake 0.009930
[898/5000][240/535][92522] Loss_D: -0.022094 Loss_G: 0.026700 Loss_D_real: -0.029239 Loss_D_fake -0.007146
[898/5000][245/535][92523] Loss_D: -0.022345 Loss_G: 0.017472 Loss_D_real: -0.033877 Loss_D_fake -0.011532
[898/5000][250/535][92524] Loss_D: -0.020576 Loss_G: 0.027361 Loss_D_real: -0.039846 Loss_D_fake -0.019270
[898/5000][255/535][92525] Loss_D: -0.023383 Loss_G: 0.010115 Loss_D_real: -0.015204 Loss_D_fake 0.008179
[898/5000][260/535][92526] Loss_D: -0.023165 Loss_G: 0.001864 Loss_D_real: -0.028527 Loss_D_fake -0.005362
[898/5000][265/535][92527] Loss_D: -0.021528 Loss_G: 0.027499 Loss_D_real: -0.030746 Loss_D_fake -0.009218
[898/5000][270/535][92528] Loss_D: -0.022624 Loss_G: 0.001242 Loss_D_real: -0.014512 Loss_D_fake 0.008111
[898/5000][275/535][92529] Loss_D: -0.022911 Loss_G: 0.021834 Loss_D_real: -0.030444 Loss_D_fake -0.007533
[898/5000][280/535][92530] Loss_D: -0.021792 Loss_G: -0.005986 Loss_D_real: -0.016972 Loss_D_fake 0.004820
[898/5000][285/535][92531] Loss_D: -0.022267 Loss_G: 0.012710 Loss_D_real: -0.025581 Loss_D_fake -0.003314
[898/5000][290/535][92532] Loss_D: -0.021695 Loss_G: -0.013196 Loss_D_real: -0.000143 Loss_D_fake 0.021552
[898/5000][295/535][92533] Loss_D: -0.022230 Loss_G: 0.022065 Loss_D_real: -0.020724 Loss_D_fake 0.001505
[898/5000][300/535][92534] Loss_D: -0.019855 Loss_G: 0.019716 Loss_D_real: -0.021036 Loss_D_fake -0.001180
[898/5000][305/535][92535] Loss_D: -0.022560 Loss_G: 0.017443 Loss_D_real: -0.027507 Loss_D_fake -0.004947
[898/5000][310/535][92536] Loss_D: -0.022151 Loss_G: 0.012315 Loss_D_real: -0.024473 Loss_D_fake -0.002322
[898/5000][315/535][92537] Loss_D: -0.023025 Loss_G: 0.015082 Loss_D_real: -0.028334 Loss_D_fake -0.005309
[898/5000][320/535][92538] Loss_D: -0.023103 Loss_G: 0.012852 Loss_D_real: -0.020527 Loss_D_fake 0.002576
[898/5000][325/535][92539] Loss_D: -0.023438 Loss_G: -0.005122 Loss_D_real: -0.007254 Loss_D_fake 0.016184
[898/5000][330/535][92540] Loss_D: -0.023664 Loss_G: 0.010311 Loss_D_real: -0.020188 Loss_D_fake 0.003476
[898/5000][335/535][92541] Loss_D: -0.023617 Loss_G: -0.002907 Loss_D_real: -0.006320 Loss_D_fake 0.017297
[898/5000][340/535][92542] Loss_D: -0.023525 Loss_G: -0.001645 Loss_D_real: -0.016717 Loss_D_fake 0.006808
[898/5000][345/535][92543] Loss_D: -0.022353 Loss_G: 0.011179 Loss_D_real: -0.011660 Loss_D_fake 0.010693
[898/5000][350/535][92544] Loss_D: -0.022397 Loss_G: 0.007254 Loss_D_real: -0.014882 Loss_D_fake 0.007515
[898/5000][355/535][92545] Loss_D: -0.022420 Loss_G: 0.020727 Loss_D_real: -0.028420 Loss_D_fake -0.006000
[898/5000][360/535][92546] Loss_D: -0.022214 Loss_G: 0.000761 Loss_D_real: -0.013696 Loss_D_fake 0.008518
[898/5000][365/535][92547] Loss_D: -0.021573 Loss_G: -0.008148 Loss_D_real: -0.015738 Loss_D_fake 0.005835
[898/5000][370/535][92548] Loss_D: -0.022115 Loss_G: 0.010515 Loss_D_real: -0.032429 Loss_D_fake -0.010315
[898/5000][375/535][92549] Loss_D: -0.022982 Loss_G: 0.006299 Loss_D_real: -0.013674 Loss_D_fake 0.009307
[898/5000][380/535][92550] Loss_D: -0.022647 Loss_G: 0.002630 Loss_D_real: -0.019610 Loss_D_fake 0.003037
[898/5000][385/535][92551] Loss_D: -0.022885 Loss_G: 0.004991 Loss_D_real: -0.013782 Loss_D_fake 0.009103
[898/5000][390/535][92552] Loss_D: -0.022909 Loss_G: -0.001737 Loss_D_real: -0.013568 Loss_D_fake 0.009341
[898/5000][395/535][92553] Loss_D: -0.020286 Loss_G: 0.008920 Loss_D_real: -0.023239 Loss_D_fake -0.002953
[898/5000][400/535][92554] Loss_D: -0.022210 Loss_G: -0.003156 Loss_D_real: -0.010444 Loss_D_fake 0.011767
[898/5000][405/535][92555] Loss_D: -0.021408 Loss_G: 0.002798 Loss_D_real: -0.017490 Loss_D_fake 0.003918
[898/5000][410/535][92556] Loss_D: -0.020764 Loss_G: -0.011134 Loss_D_real: -0.007806 Loss_D_fake 0.012958
[898/5000][415/535][92557] Loss_D: -0.024054 Loss_G: 0.016267 Loss_D_real: -0.022526 Loss_D_fake 0.001528
[898/5000][420/535][92558] Loss_D: -0.021210 Loss_G: 0.010560 Loss_D_real: -0.019760 Loss_D_fake 0.001451
[898/5000][425/535][92559] Loss_D: -0.022173 Loss_G: -0.005842 Loss_D_real: -0.000067 Loss_D_fake 0.022107
[898/5000][430/535][92560] Loss_D: -0.021736 Loss_G: 0.016407 Loss_D_real: -0.026330 Loss_D_fake -0.004594
[898/5000][435/535][92561] Loss_D: -0.024217 Loss_G: 0.004905 Loss_D_real: -0.012645 Loss_D_fake 0.011572
[898/5000][440/535][92562] Loss_D: -0.021725 Loss_G: 0.010000 Loss_D_real: -0.018656 Loss_D_fake 0.003069
[898/5000][445/535][92563] Loss_D: -0.022756 Loss_G: 0.006660 Loss_D_real: -0.022874 Loss_D_fake -0.000117
[898/5000][450/535][92564] Loss_D: -0.023806 Loss_G: 0.004248 Loss_D_real: -0.020262 Loss_D_fake 0.003544
[898/5000][455/535][92565] Loss_D: -0.022874 Loss_G: 0.007025 Loss_D_real: -0.017091 Loss_D_fake 0.005784
[898/5000][460/535][92566] Loss_D: -0.022801 Loss_G: 0.015781 Loss_D_real: -0.030510 Loss_D_fake -0.007709
[898/5000][465/535][92567] Loss_D: -0.021976 Loss_G: -0.014402 Loss_D_real: 0.003393 Loss_D_fake 0.025369
[898/5000][470/535][92568] Loss_D: -0.023077 Loss_G: 0.009519 Loss_D_real: -0.013514 Loss_D_fake 0.009563
[898/5000][475/535][92569] Loss_D: -0.021704 Loss_G: -0.008153 Loss_D_real: -0.019717 Loss_D_fake 0.001987
[898/5000][480/535][92570] Loss_D: -0.022374 Loss_G: -0.004499 Loss_D_real: -0.009035 Loss_D_fake 0.013339
[898/5000][485/535][92571] Loss_D: -0.023214 Loss_G: 0.007849 Loss_D_real: -0.022871 Loss_D_fake 0.000342
[898/5000][490/535][92572] Loss_D: -0.023578 Loss_G: 0.012788 Loss_D_real: -0.021258 Loss_D_fake 0.002319
[898/5000][495/535][92573] Loss_D: -0.020383 Loss_G: -0.009857 Loss_D_real: 0.010747 Loss_D_fake 0.031130
[898/5000][500/535][92574] Loss_D: -0.022169 Loss_G: 0.007850 Loss_D_real: -0.021820 Loss_D_fake 0.000349
[898/5000][505/535][92575] Loss_D: -0.022688 Loss_G: -0.009455 Loss_D_real: -0.001967 Loss_D_fake 0.020721
[898/5000][510/535][92576] Loss_D: -0.022343 Loss_G: 0.000934 Loss_D_real: -0.017651 Loss_D_fake 0.004692
[898/5000][515/535][92577] Loss_D: -0.023266 Loss_G: 0.001184 Loss_D_real: -0.003698 Loss_D_fake 0.019568
[898/5000][520/535][92578] Loss_D: -0.022910 Loss_G: -0.010114 Loss_D_real: -0.005558 Loss_D_fake 0.017352
[898/5000][525/535][92579] Loss_D: -0.021886 Loss_G: 0.020726 Loss_D_real: -0.022835 Loss_D_fake -0.000949
[898/5000][530/535][92580] Loss_D: -0.021741 Loss_G: -0.014412 Loss_D_real: -0.016487 Loss_D_fake 0.005254
[898/5000][535/535][92581] Loss_D: -0.022932 Loss_G: 0.025350 Loss_D_real: -0.021334 Loss_D_fake 0.001598
[899/5000][5/535][92582] Loss_D: -0.021884 Loss_G: 0.020893 Loss_D_real: -0.025718 Loss_D_fake -0.003835
[899/5000][10/535][92583] Loss_D: -0.022610 Loss_G: 0.004769 Loss_D_real: -0.010763 Loss_D_fake 0.011847
[899/5000][15/535][92584] Loss_D: -0.022861 Loss_G: 0.016701 Loss_D_real: -0.016718 Loss_D_fake 0.006143
[899/5000][20/535][92585] Loss_D: -0.022441 Loss_G: -0.019511 Loss_D_real: -0.003261 Loss_D_fake 0.019180
[899/5000][25/535][92586] Loss_D: -0.022843 Loss_G: 0.005392 Loss_D_real: -0.024734 Loss_D_fake -0.001891
[899/5000][30/535][92587] Loss_D: -0.021385 Loss_G: 0.003728 Loss_D_real: -0.024487 Loss_D_fake -0.003102
[899/5000][35/535][92588] Loss_D: -0.023448 Loss_G: 0.013808 Loss_D_real: -0.009305 Loss_D_fake 0.014144
[899/5000][40/535][92589] Loss_D: -0.023686 Loss_G: 0.009092 Loss_D_real: -0.024419 Loss_D_fake -0.000733
[899/5000][45/535][92590] Loss_D: -0.024697 Loss_G: -0.001882 Loss_D_real: -0.019046 Loss_D_fake 0.005651
[899/5000][50/535][92591] Loss_D: -0.022580 Loss_G: 0.008393 Loss_D_real: -0.027300 Loss_D_fake -0.004720
[899/5000][55/535][92592] Loss_D: -0.023175 Loss_G: 0.007282 Loss_D_real: -0.013908 Loss_D_fake 0.009267
[899/5000][60/535][92593] Loss_D: -0.022951 Loss_G: 0.011156 Loss_D_real: -0.013163 Loss_D_fake 0.009788
[899/5000][65/535][92594] Loss_D: -0.021783 Loss_G: 0.021388 Loss_D_real: -0.028596 Loss_D_fake -0.006813
[899/5000][70/535][92595] Loss_D: -0.022745 Loss_G: 0.002047 Loss_D_real: -0.006337 Loss_D_fake 0.016408
[899/5000][75/535][92596] Loss_D: -0.021544 Loss_G: 0.018572 Loss_D_real: -0.023642 Loss_D_fake -0.002098
[899/5000][80/535][92597] Loss_D: -0.023591 Loss_G: 0.008434 Loss_D_real: -0.012617 Loss_D_fake 0.010973
[899/5000][85/535][92598] Loss_D: -0.021458 Loss_G: 0.029080 Loss_D_real: -0.037087 Loss_D_fake -0.015629
[899/5000][90/535][92599] Loss_D: -0.023303 Loss_G: -0.003548 Loss_D_real: -0.010749 Loss_D_fake 0.012553
[899/5000][95/535][92600] Loss_D: -0.023334 Loss_G: 0.015820 Loss_D_real: -0.020778 Loss_D_fake 0.002555
[899/5000][100/535][92601] Loss_D: -0.022185 Loss_G: 0.001397 Loss_D_real: -0.015170 Loss_D_fake 0.007016
[899/5000][105/535][92602] Loss_D: -0.022791 Loss_G: 0.015039 Loss_D_real: -0.022526 Loss_D_fake 0.000266
[899/5000][110/535][92603] Loss_D: -0.022571 Loss_G: 0.011087 Loss_D_real: -0.015336 Loss_D_fake 0.007236
[899/5000][115/535][92604] Loss_D: -0.021876 Loss_G: 0.015952 Loss_D_real: -0.014644 Loss_D_fake 0.007232
[899/5000][120/535][92605] Loss_D: -0.022248 Loss_G: 0.000058 Loss_D_real: -0.024201 Loss_D_fake -0.001952
[899/5000][125/535][92606] Loss_D: -0.020908 Loss_G: -0.019267 Loss_D_real: 0.003711 Loss_D_fake 0.024619
[899/5000][130/535][92607] Loss_D: -0.021678 Loss_G: 0.004213 Loss_D_real: -0.010519 Loss_D_fake 0.011160
[899/5000][135/535][92608] Loss_D: -0.022671 Loss_G: 0.011282 Loss_D_real: -0.028196 Loss_D_fake -0.005525
[899/5000][140/535][92609] Loss_D: -0.024414 Loss_G: 0.005191 Loss_D_real: -0.012727 Loss_D_fake 0.011687
[899/5000][145/535][92610] Loss_D: -0.022548 Loss_G: -0.006626 Loss_D_real: 0.004126 Loss_D_fake 0.026674
[899/5000][150/535][92611] Loss_D: -0.022874 Loss_G: 0.009706 Loss_D_real: -0.025729 Loss_D_fake -0.002855
[899/5000][155/535][92612] Loss_D: -0.023227 Loss_G: 0.001318 Loss_D_real: -0.010852 Loss_D_fake 0.012375
[899/5000][160/535][92613] Loss_D: -0.022486 Loss_G: 0.010463 Loss_D_real: -0.011336 Loss_D_fake 0.011151
[899/5000][165/535][92614] Loss_D: -0.021312 Loss_G: 0.025276 Loss_D_real: -0.027983 Loss_D_fake -0.006672
[899/5000][170/535][92615] Loss_D: -0.022659 Loss_G: -0.017618 Loss_D_real: -0.009144 Loss_D_fake 0.013515
[899/5000][175/535][92616] Loss_D: -0.023248 Loss_G: 0.005728 Loss_D_real: -0.017700 Loss_D_fake 0.005548
[899/5000][180/535][92617] Loss_D: -0.021689 Loss_G: 0.002420 Loss_D_real: -0.019158 Loss_D_fake 0.002531
[899/5000][185/535][92618] Loss_D: -0.021161 Loss_G: 0.004510 Loss_D_real: -0.014875 Loss_D_fake 0.006286
[899/5000][190/535][92619] Loss_D: -0.021733 Loss_G: -0.000667 Loss_D_real: -0.006163 Loss_D_fake 0.015570
[899/5000][195/535][92620] Loss_D: -0.021965 Loss_G: 0.010122 Loss_D_real: -0.023839 Loss_D_fake -0.001874
[899/5000][200/535][92621] Loss_D: -0.022142 Loss_G: 0.014545 Loss_D_real: -0.022794 Loss_D_fake -0.000652
[899/5000][205/535][92622] Loss_D: -0.022463 Loss_G: 0.006053 Loss_D_real: -0.015188 Loss_D_fake 0.007275
[899/5000][210/535][92623] Loss_D: -0.023418 Loss_G: 0.003675 Loss_D_real: -0.002470 Loss_D_fake 0.020948
[899/5000][215/535][92624] Loss_D: -0.022538 Loss_G: 0.021685 Loss_D_real: -0.023170 Loss_D_fake -0.000633
[899/5000][220/535][92625] Loss_D: -0.023558 Loss_G: 0.006325 Loss_D_real: -0.005797 Loss_D_fake 0.017761
[899/5000][225/535][92626] Loss_D: -0.022625 Loss_G: 0.007564 Loss_D_real: -0.021466 Loss_D_fake 0.001158
[899/5000][230/535][92627] Loss_D: -0.022475 Loss_G: 0.009817 Loss_D_real: -0.020398 Loss_D_fake 0.002077
[899/5000][235/535][92628] Loss_D: -0.023230 Loss_G: 0.011916 Loss_D_real: -0.019653 Loss_D_fake 0.003577
[899/5000][240/535][92629] Loss_D: -0.023367 Loss_G: 0.004090 Loss_D_real: -0.020451 Loss_D_fake 0.002916
[899/5000][245/535][92630] Loss_D: -0.023874 Loss_G: -0.000371 Loss_D_real: -0.013327 Loss_D_fake 0.010547
[899/5000][250/535][92631] Loss_D: -0.022932 Loss_G: -0.014770 Loss_D_real: -0.007535 Loss_D_fake 0.015397
[899/5000][255/535][92632] Loss_D: -0.023172 Loss_G: 0.011483 Loss_D_real: -0.014027 Loss_D_fake 0.009145
[899/5000][260/535][92633] Loss_D: -0.023847 Loss_G: 0.011168 Loss_D_real: -0.013716 Loss_D_fake 0.010130
[899/5000][265/535][92634] Loss_D: -0.021569 Loss_G: 0.006482 Loss_D_real: -0.020044 Loss_D_fake 0.001525
[899/5000][270/535][92635] Loss_D: -0.023620 Loss_G: 0.003966 Loss_D_real: -0.022399 Loss_D_fake 0.001222
[899/5000][275/535][92636] Loss_D: -0.022686 Loss_G: 0.019448 Loss_D_real: -0.029736 Loss_D_fake -0.007050
[899/5000][280/535][92637] Loss_D: -0.020636 Loss_G: -0.012548 Loss_D_real: 0.003118 Loss_D_fake 0.023754
[899/5000][285/535][92638] Loss_D: -0.021480 Loss_G: 0.023395 Loss_D_real: -0.037106 Loss_D_fake -0.015626
[899/5000][290/535][92639] Loss_D: -0.022625 Loss_G: 0.024788 Loss_D_real: -0.027098 Loss_D_fake -0.004473
[899/5000][295/535][92640] Loss_D: -0.023978 Loss_G: 0.000588 Loss_D_real: -0.016458 Loss_D_fake 0.007520
[899/5000][300/535][92641] Loss_D: -0.023069 Loss_G: 0.015926 Loss_D_real: -0.027425 Loss_D_fake -0.004356
[899/5000][305/535][92642] Loss_D: -0.022976 Loss_G: 0.010079 Loss_D_real: -0.024142 Loss_D_fake -0.001166
[899/5000][310/535][92643] Loss_D: -0.023034 Loss_G: -0.002496 Loss_D_real: -0.008715 Loss_D_fake 0.014319
[899/5000][315/535][92644] Loss_D: -0.022251 Loss_G: 0.023582 Loss_D_real: -0.026356 Loss_D_fake -0.004106
[899/5000][320/535][92645] Loss_D: -0.022446 Loss_G: 0.010407 Loss_D_real: -0.013746 Loss_D_fake 0.008700
[899/5000][325/535][92646] Loss_D: -0.022036 Loss_G: 0.013404 Loss_D_real: -0.034361 Loss_D_fake -0.012325
[899/5000][330/535][92647] Loss_D: -0.022461 Loss_G: 0.017214 Loss_D_real: -0.027046 Loss_D_fake -0.004584
[899/5000][335/535][92648] Loss_D: -0.021802 Loss_G: 0.017496 Loss_D_real: -0.026945 Loss_D_fake -0.005143
[899/5000][340/535][92649] Loss_D: -0.021549 Loss_G: 0.022471 Loss_D_real: -0.028517 Loss_D_fake -0.006967
[899/5000][345/535][92650] Loss_D: -0.021223 Loss_G: 0.003066 Loss_D_real: -0.004674 Loss_D_fake 0.016549
[899/5000][350/535][92651] Loss_D: -0.021575 Loss_G: 0.025631 Loss_D_real: -0.019094 Loss_D_fake 0.002481
[899/5000][355/535][92652] Loss_D: -0.022900 Loss_G: -0.003987 Loss_D_real: -0.011981 Loss_D_fake 0.010920
[899/5000][360/535][92653] Loss_D: -0.021658 Loss_G: 0.024976 Loss_D_real: -0.038638 Loss_D_fake -0.016980
[899/5000][365/535][92654] Loss_D: -0.022354 Loss_G: 0.010344 Loss_D_real: -0.025256 Loss_D_fake -0.002902
[899/5000][370/535][92655] Loss_D: -0.022351 Loss_G: 0.010187 Loss_D_real: -0.019654 Loss_D_fake 0.002697
[899/5000][375/535][92656] Loss_D: -0.021395 Loss_G: -0.007647 Loss_D_real: -0.001494 Loss_D_fake 0.019900
[899/5000][380/535][92657] Loss_D: -0.020928 Loss_G: 0.018389 Loss_D_real: -0.033103 Loss_D_fake -0.012175
[899/5000][385/535][92658] Loss_D: -0.024163 Loss_G: 0.006661 Loss_D_real: -0.006110 Loss_D_fake 0.018053
[899/5000][390/535][92659] Loss_D: -0.022961 Loss_G: 0.008256 Loss_D_real: -0.013818 Loss_D_fake 0.009143
[899/5000][395/535][92660] Loss_D: -0.021732 Loss_G: 0.017577 Loss_D_real: -0.030840 Loss_D_fake -0.009108
[899/5000][400/535][92661] Loss_D: -0.023676 Loss_G: 0.006784 Loss_D_real: -0.030141 Loss_D_fake -0.006464
[899/5000][405/535][92662] Loss_D: -0.022280 Loss_G: 0.003619 Loss_D_real: -0.007647 Loss_D_fake 0.014632
[899/5000][410/535][92663] Loss_D: -0.022347 Loss_G: -0.002332 Loss_D_real: -0.014143 Loss_D_fake 0.008204
[899/5000][415/535][92664] Loss_D: -0.024651 Loss_G: 0.007680 Loss_D_real: -0.006292 Loss_D_fake 0.018360
[899/5000][420/535][92665] Loss_D: -0.023207 Loss_G: -0.015056 Loss_D_real: -0.004704 Loss_D_fake 0.018503
[899/5000][425/535][92666] Loss_D: -0.021745 Loss_G: 0.016670 Loss_D_real: -0.021338 Loss_D_fake 0.000407
[899/5000][430/535][92667] Loss_D: -0.021859 Loss_G: 0.018211 Loss_D_real: -0.019195 Loss_D_fake 0.002664
[899/5000][435/535][92668] Loss_D: -0.022680 Loss_G: 0.001675 Loss_D_real: -0.027936 Loss_D_fake -0.005257
[899/5000][440/535][92669] Loss_D: -0.022985 Loss_G: 0.011838 Loss_D_real: -0.019868 Loss_D_fake 0.003117
[899/5000][445/535][92670] Loss_D: -0.022749 Loss_G: 0.015191 Loss_D_real: -0.017435 Loss_D_fake 0.005313
[899/5000][450/535][92671] Loss_D: -0.023081 Loss_G: -0.002146 Loss_D_real: -0.022346 Loss_D_fake 0.000735
[899/5000][455/535][92672] Loss_D: -0.022921 Loss_G: 0.012445 Loss_D_real: -0.020807 Loss_D_fake 0.002114
[899/5000][460/535][92673] Loss_D: -0.022642 Loss_G: 0.025977 Loss_D_real: -0.021449 Loss_D_fake 0.001193
[899/5000][465/535][92674] Loss_D: -0.022912 Loss_G: 0.000341 Loss_D_real: -0.012954 Loss_D_fake 0.009958
[899/5000][470/535][92675] Loss_D: -0.021778 Loss_G: -0.010178 Loss_D_real: -0.009669 Loss_D_fake 0.012109
[899/5000][475/535][92676] Loss_D: -0.023094 Loss_G: 0.010600 Loss_D_real: -0.018483 Loss_D_fake 0.004611
[899/5000][480/535][92677] Loss_D: -0.021439 Loss_G: 0.021265 Loss_D_real: -0.031386 Loss_D_fake -0.009948
[899/5000][485/535][92678] Loss_D: -0.022136 Loss_G: 0.005197 Loss_D_real: -0.014238 Loss_D_fake 0.007898
[899/5000][490/535][92679] Loss_D: -0.021887 Loss_G: -0.000952 Loss_D_real: -0.019440 Loss_D_fake 0.002447
[899/5000][495/535][92680] Loss_D: -0.021156 Loss_G: 0.000439 Loss_D_real: -0.020854 Loss_D_fake 0.000302
[899/5000][500/535][92681] Loss_D: -0.022709 Loss_G: 0.006025 Loss_D_real: -0.017523 Loss_D_fake 0.005186
[899/5000][505/535][92682] Loss_D: -0.021751 Loss_G: 0.028467 Loss_D_real: -0.030943 Loss_D_fake -0.009191
[899/5000][510/535][92683] Loss_D: -0.022224 Loss_G: 0.002408 Loss_D_real: -0.021699 Loss_D_fake 0.000525
[899/5000][515/535][92684] Loss_D: -0.022692 Loss_G: 0.003935 Loss_D_real: -0.012646 Loss_D_fake 0.010046
[899/5000][520/535][92685] Loss_D: -0.022249 Loss_G: 0.004276 Loss_D_real: -0.019710 Loss_D_fake 0.002539
[899/5000][525/535][92686] Loss_D: -0.023035 Loss_G: 0.012440 Loss_D_real: -0.026117 Loss_D_fake -0.003082
[899/5000][530/535][92687] Loss_D: -0.023111 Loss_G: 0.000441 Loss_D_real: -0.011326 Loss_D_fake 0.011785
[899/5000][535/535][92688] Loss_D: -0.023458 Loss_G: -0.009206 Loss_D_real: -0.022996 Loss_D_fake 0.000462
[900/5000][5/535][92689] Loss_D: -0.023580 Loss_G: 0.003931 Loss_D_real: -0.013566 Loss_D_fake 0.010014
[900/5000][10/535][92690] Loss_D: -0.023056 Loss_G: -0.002019 Loss_D_real: -0.012599 Loss_D_fake 0.010457
[900/5000][15/535][92691] Loss_D: -0.021776 Loss_G: -0.005955 Loss_D_real: -0.012494 Loss_D_fake 0.009282
[900/5000][20/535][92692] Loss_D: -0.021077 Loss_G: 0.002075 Loss_D_real: -0.010074 Loss_D_fake 0.011004
[900/5000][25/535][92693] Loss_D: -0.021756 Loss_G: -0.010294 Loss_D_real: 0.008204 Loss_D_fake 0.029959
[900/5000][30/535][92694] Loss_D: -0.023180 Loss_G: -0.000684 Loss_D_real: -0.006237 Loss_D_fake 0.016943
[900/5000][35/535][92695] Loss_D: -0.022830 Loss_G: 0.026770 Loss_D_real: -0.023135 Loss_D_fake -0.000305
[900/5000][40/535][92696] Loss_D: -0.022520 Loss_G: 0.021935 Loss_D_real: -0.021381 Loss_D_fake 0.001140
[900/5000][45/535][92697] Loss_D: -0.021859 Loss_G: -0.011008 Loss_D_real: -0.003512 Loss_D_fake 0.018347
[900/5000][50/535][92698] Loss_D: -0.023867 Loss_G: -0.001166 Loss_D_real: -0.017342 Loss_D_fake 0.006524
[900/5000][55/535][92699] Loss_D: -0.022335 Loss_G: 0.019447 Loss_D_real: -0.028902 Loss_D_fake -0.006567
[900/5000][60/535][92700] Loss_D: -0.022657 Loss_G: 0.012854 Loss_D_real: -0.020552 Loss_D_fake 0.002105
[900/5000][65/535][92701] Loss_D: -0.024160 Loss_G: 0.010365 Loss_D_real: -0.007479 Loss_D_fake 0.016681
[900/5000][70/535][92702] Loss_D: -0.022234 Loss_G: 0.002441 Loss_D_real: -0.025646 Loss_D_fake -0.003411
[900/5000][75/535][92703] Loss_D: -0.022519 Loss_G: 0.018509 Loss_D_real: -0.024299 Loss_D_fake -0.001780
[900/5000][80/535][92704] Loss_D: -0.022780 Loss_G: 0.006164 Loss_D_real: -0.023017 Loss_D_fake -0.000237
[900/5000][85/535][92705] Loss_D: -0.023483 Loss_G: -0.003973 Loss_D_real: -0.013378 Loss_D_fake 0.010105
[900/5000][90/535][92706] Loss_D: -0.022477 Loss_G: 0.016900 Loss_D_real: -0.027154 Loss_D_fake -0.004677
[900/5000][95/535][92707] Loss_D: -0.021435 Loss_G: -0.012765 Loss_D_real: 0.007650 Loss_D_fake 0.029085
[900/5000][100/535][92708] Loss_D: -0.021429 Loss_G: 0.006290 Loss_D_real: -0.019687 Loss_D_fake 0.001742
[900/5000][105/535][92709] Loss_D: -0.023470 Loss_G: 0.023553 Loss_D_real: -0.028867 Loss_D_fake -0.005397
[900/5000][110/535][92710] Loss_D: -0.023159 Loss_G: 0.008924 Loss_D_real: -0.022678 Loss_D_fake 0.000481
[900/5000][115/535][92711] Loss_D: -0.023079 Loss_G: 0.008738 Loss_D_real: -0.034584 Loss_D_fake -0.011505
[900/5000][120/535][92712] Loss_D: -0.023521 Loss_G: 0.002159 Loss_D_real: -0.017001 Loss_D_fake 0.006520
[900/5000][125/535][92713] Loss_D: -0.023182 Loss_G: 0.009359 Loss_D_real: -0.017075 Loss_D_fake 0.006107
[900/5000][130/535][92714] Loss_D: -0.023697 Loss_G: 0.018412 Loss_D_real: -0.013928 Loss_D_fake 0.009769
[900/5000][135/535][92715] Loss_D: -0.021927 Loss_G: 0.001719 Loss_D_real: -0.024032 Loss_D_fake -0.002105
[900/5000][140/535][92716] Loss_D: -0.021984 Loss_G: 0.011504 Loss_D_real: -0.025324 Loss_D_fake -0.003340
[900/5000][145/535][92717] Loss_D: -0.023447 Loss_G: 0.011413 Loss_D_real: -0.033010 Loss_D_fake -0.009563
[900/5000][150/535][92718] Loss_D: -0.021736 Loss_G: 0.013885 Loss_D_real: -0.025579 Loss_D_fake -0.003843
[900/5000][155/535][92719] Loss_D: -0.022383 Loss_G: -0.006607 Loss_D_real: -0.003188 Loss_D_fake 0.019195
[900/5000][160/535][92720] Loss_D: -0.024419 Loss_G: 0.008203 Loss_D_real: -0.008508 Loss_D_fake 0.015911
[900/5000][165/535][92721] Loss_D: -0.021467 Loss_G: 0.007856 Loss_D_real: -0.012931 Loss_D_fake 0.008535
[900/5000][170/535][92722] Loss_D: -0.023506 Loss_G: 0.017660 Loss_D_real: -0.019195 Loss_D_fake 0.004312
[900/5000][175/535][92723] Loss_D: -0.022737 Loss_G: 0.012777 Loss_D_real: -0.030449 Loss_D_fake -0.007712
[900/5000][180/535][92724] Loss_D: -0.023099 Loss_G: 0.003060 Loss_D_real: -0.020734 Loss_D_fake 0.002364
[900/5000][185/535][92725] Loss_D: -0.020785 Loss_G: 0.036549 Loss_D_real: -0.040655 Loss_D_fake -0.019870
[900/5000][190/535][92726] Loss_D: -0.023478 Loss_G: 0.007015 Loss_D_real: -0.021334 Loss_D_fake 0.002144
[900/5000][195/535][92727] Loss_D: -0.022993 Loss_G: 0.019038 Loss_D_real: -0.013417 Loss_D_fake 0.009576
[900/5000][200/535][92728] Loss_D: -0.023149 Loss_G: 0.023369 Loss_D_real: -0.029572 Loss_D_fake -0.006422
[900/5000][205/535][92729] Loss_D: -0.022437 Loss_G: -0.011822 Loss_D_real: -0.006813 Loss_D_fake 0.015624
[900/5000][210/535][92730] Loss_D: -0.021464 Loss_G: 0.002351 Loss_D_real: -0.022103 Loss_D_fake -0.000639
[900/5000][215/535][92731] Loss_D: -0.022585 Loss_G: 0.022358 Loss_D_real: -0.029632 Loss_D_fake -0.007048
[900/5000][220/535][92732] Loss_D: -0.022527 Loss_G: -0.004649 Loss_D_real: -0.004328 Loss_D_fake 0.018199
[900/5000][225/535][92733] Loss_D: -0.021210 Loss_G: 0.012878 Loss_D_real: -0.027660 Loss_D_fake -0.006450
[900/5000][230/535][92734] Loss_D: -0.024745 Loss_G: -0.000440 Loss_D_real: -0.025033 Loss_D_fake -0.000287
[900/5000][235/535][92735] Loss_D: -0.023741 Loss_G: 0.025225 Loss_D_real: -0.022107 Loss_D_fake 0.001635
[900/5000][240/535][92736] Loss_D: -0.023479 Loss_G: 0.017856 Loss_D_real: -0.018352 Loss_D_fake 0.005127
[900/5000][245/535][92737] Loss_D: -0.021516 Loss_G: 0.001432 Loss_D_real: -0.006844 Loss_D_fake 0.014672
[900/5000][250/535][92738] Loss_D: -0.022068 Loss_G: -0.011371 Loss_D_real: -0.012827 Loss_D_fake 0.009241
[900/5000][255/535][92739] Loss_D: -0.023044 Loss_G: 0.010612 Loss_D_real: -0.021400 Loss_D_fake 0.001644
[900/5000][260/535][92740] Loss_D: -0.022441 Loss_G: -0.008397 Loss_D_real: -0.005369 Loss_D_fake 0.017071
[900/5000][265/535][92741] Loss_D: -0.022093 Loss_G: -0.002804 Loss_D_real: -0.009134 Loss_D_fake 0.012960
[900/5000][270/535][92742] Loss_D: -0.021440 Loss_G: -0.010458 Loss_D_real: 0.004662 Loss_D_fake 0.026102
[900/5000][275/535][92743] Loss_D: -0.021607 Loss_G: 0.010689 Loss_D_real: -0.013492 Loss_D_fake 0.008115
[900/5000][280/535][92744] Loss_D: -0.022322 Loss_G: 0.007930 Loss_D_real: -0.023119 Loss_D_fake -0.000797
[900/5000][285/535][92745] Loss_D: -0.021675 Loss_G: 0.023614 Loss_D_real: -0.024674 Loss_D_fake -0.002999
[900/5000][290/535][92746] Loss_D: -0.022896 Loss_G: -0.010692 Loss_D_real: -0.004663 Loss_D_fake 0.018233
[900/5000][295/535][92747] Loss_D: -0.022699 Loss_G: 0.016549 Loss_D_real: -0.022980 Loss_D_fake -0.000281
[900/5000][300/535][92748] Loss_D: -0.024282 Loss_G: 0.020972 Loss_D_real: -0.024263 Loss_D_fake 0.000019
[900/5000][305/535][92749] Loss_D: -0.023048 Loss_G: 0.017938 Loss_D_real: -0.023556 Loss_D_fake -0.000508
[900/5000][310/535][92750] Loss_D: -0.022710 Loss_G: 0.000161 Loss_D_real: -0.025722 Loss_D_fake -0.003012
[900/5000][315/535][92751] Loss_D: -0.022188 Loss_G: -0.003277 Loss_D_real: -0.009592 Loss_D_fake 0.012596
[900/5000][320/535][92752] Loss_D: -0.021760 Loss_G: 0.002517 Loss_D_real: -0.007148 Loss_D_fake 0.014612
[900/5000][325/535][92753] Loss_D: -0.022372 Loss_G: -0.001625 Loss_D_real: -0.024997 Loss_D_fake -0.002626
[900/5000][330/535][92754] Loss_D: -0.022443 Loss_G: -0.004362 Loss_D_real: -0.020600 Loss_D_fake 0.001842
[900/5000][335/535][92755] Loss_D: -0.022217 Loss_G: 0.016221 Loss_D_real: -0.028708 Loss_D_fake -0.006490
[900/5000][340/535][92756] Loss_D: -0.020730 Loss_G: 0.034233 Loss_D_real: -0.035585 Loss_D_fake -0.014856
[900/5000][345/535][92757] Loss_D: -0.022573 Loss_G: 0.010605 Loss_D_real: -0.020657 Loss_D_fake 0.001916
[900/5000][350/535][92758] Loss_D: -0.020387 Loss_G: 0.030097 Loss_D_real: -0.037229 Loss_D_fake -0.016841
[900/5000][355/535][92759] Loss_D: -0.023093 Loss_G: -0.008529 Loss_D_real: -0.016920 Loss_D_fake 0.006173
[900/5000][360/535][92760] Loss_D: -0.021478 Loss_G: 0.017284 Loss_D_real: -0.033237 Loss_D_fake -0.011760
[900/5000][365/535][92761] Loss_D: -0.022723 Loss_G: -0.009045 Loss_D_real: -0.009563 Loss_D_fake 0.013160
[900/5000][370/535][92762] Loss_D: -0.021462 Loss_G: 0.014185 Loss_D_real: -0.030378 Loss_D_fake -0.008915
[900/5000][375/535][92763] Loss_D: -0.022368 Loss_G: 0.014147 Loss_D_real: -0.020704 Loss_D_fake 0.001664
[900/5000][380/535][92764] Loss_D: -0.022091 Loss_G: 0.017148 Loss_D_real: -0.024704 Loss_D_fake -0.002613
[900/5000][385/535][92765] Loss_D: -0.022781 Loss_G: -0.003035 Loss_D_real: -0.003532 Loss_D_fake 0.019249
[900/5000][390/535][92766] Loss_D: -0.021206 Loss_G: 0.025309 Loss_D_real: -0.033103 Loss_D_fake -0.011898
[900/5000][395/535][92767] Loss_D: -0.023780 Loss_G: 0.011396 Loss_D_real: -0.026624 Loss_D_fake -0.002845
[900/5000][400/535][92768] Loss_D: -0.021333 Loss_G: 0.026238 Loss_D_real: -0.024725 Loss_D_fake -0.003391
[900/5000][405/535][92769] Loss_D: -0.021827 Loss_G: -0.015193 Loss_D_real: -0.001787 Loss_D_fake 0.020040
[900/5000][410/535][92770] Loss_D: -0.020708 Loss_G: 0.013357 Loss_D_real: -0.026542 Loss_D_fake -0.005835
[900/5000][415/535][92771] Loss_D: -0.023604 Loss_G: 0.004195 Loss_D_real: -0.014993 Loss_D_fake 0.008612
[900/5000][420/535][92772] Loss_D: -0.022193 Loss_G: 0.017883 Loss_D_real: -0.028543 Loss_D_fake -0.006350
[900/5000][425/535][92773] Loss_D: -0.022230 Loss_G: 0.011463 Loss_D_real: -0.021382 Loss_D_fake 0.000848
[900/5000][430/535][92774] Loss_D: -0.023433 Loss_G: 0.012869 Loss_D_real: -0.019111 Loss_D_fake 0.004323
[900/5000][435/535][92775] Loss_D: -0.022754 Loss_G: 0.005649 Loss_D_real: -0.021052 Loss_D_fake 0.001702
[900/5000][440/535][92776] Loss_D: -0.022472 Loss_G: 0.018618 Loss_D_real: -0.023870 Loss_D_fake -0.001397
[900/5000][445/535][92777] Loss_D: -0.023744 Loss_G: 0.014509 Loss_D_real: -0.023782 Loss_D_fake -0.000038
[900/5000][450/535][92778] Loss_D: -0.023843 Loss_G: -0.004584 Loss_D_real: -0.020485 Loss_D_fake 0.003358
[900/5000][455/535][92779] Loss_D: -0.022946 Loss_G: 0.004282 Loss_D_real: -0.017979 Loss_D_fake 0.004967
[900/5000][460/535][92780] Loss_D: -0.024430 Loss_G: 0.019854 Loss_D_real: -0.023398 Loss_D_fake 0.001031
[900/5000][465/535][92781] Loss_D: -0.023769 Loss_G: 0.010904 Loss_D_real: -0.019717 Loss_D_fake 0.004053
[900/5000][470/535][92782] Loss_D: -0.022984 Loss_G: 0.002212 Loss_D_real: -0.015537 Loss_D_fake 0.007448
[900/5000][475/535][92783] Loss_D: -0.021916 Loss_G: -0.006812 Loss_D_real: -0.006251 Loss_D_fake 0.015665
[900/5000][480/535][92784] Loss_D: -0.021762 Loss_G: 0.012381 Loss_D_real: -0.021009 Loss_D_fake 0.000753
[900/5000][485/535][92785] Loss_D: -0.019562 Loss_G: -0.014150 Loss_D_real: 0.003345 Loss_D_fake 0.022907
[900/5000][490/535][92786] Loss_D: -0.022074 Loss_G: 0.015582 Loss_D_real: -0.028060 Loss_D_fake -0.005986
[900/5000][495/535][92787] Loss_D: -0.022865 Loss_G: 0.009198 Loss_D_real: -0.014717 Loss_D_fake 0.008149
[900/5000][500/535][92788] Loss_D: -0.022354 Loss_G: -0.015393 Loss_D_real: 0.003589 Loss_D_fake 0.025944
[900/5000][505/535][92789] Loss_D: -0.020794 Loss_G: 0.032410 Loss_D_real: -0.034459 Loss_D_fake -0.013665
[900/5000][510/535][92790] Loss_D: -0.021898 Loss_G: -0.004558 Loss_D_real: -0.010360 Loss_D_fake 0.011538
[900/5000][515/535][92791] Loss_D: -0.022394 Loss_G: 0.014277 Loss_D_real: -0.030056 Loss_D_fake -0.007662
[900/5000][520/535][92792] Loss_D: -0.023328 Loss_G: 0.003900 Loss_D_real: -0.024866 Loss_D_fake -0.001538
[900/5000][525/535][92793] Loss_D: -0.022212 Loss_G: -0.001888 Loss_D_real: -0.005923 Loss_D_fake 0.016289
[900/5000][530/535][92794] Loss_D: -0.021935 Loss_G: 0.006875 Loss_D_real: -0.016444 Loss_D_fake 0.005491
[900/5000][535/535][92795] Loss_D: -0.022656 Loss_G: -0.015514 Loss_D_real: -0.021399 Loss_D_fake 0.001258
[901/5000][5/535][92796] Loss_D: -0.021115 Loss_G: 0.013223 Loss_D_real: -0.024858 Loss_D_fake -0.003744
[901/5000][10/535][92797] Loss_D: -0.022583 Loss_G: 0.019596 Loss_D_real: -0.024277 Loss_D_fake -0.001694
[901/5000][15/535][92798] Loss_D: -0.022804 Loss_G: 0.005175 Loss_D_real: -0.017948 Loss_D_fake 0.004856
[901/5000][20/535][92799] Loss_D: -0.021850 Loss_G: -0.006356 Loss_D_real: -0.017628 Loss_D_fake 0.004222
[901/5000][25/535][92800] Loss_D: -0.021825 Loss_G: 0.003537 Loss_D_real: -0.017397 Loss_D_fake 0.004429
[901/5000][30/535][92801] Loss_D: -0.023702 Loss_G: 0.010643 Loss_D_real: -0.019704 Loss_D_fake 0.003999
[901/5000][35/535][92802] Loss_D: -0.021157 Loss_G: 0.011330 Loss_D_real: -0.026402 Loss_D_fake -0.005245
[901/5000][40/535][92803] Loss_D: -0.023161 Loss_G: 0.010190 Loss_D_real: -0.014097 Loss_D_fake 0.009064
[901/5000][45/535][92804] Loss_D: -0.023250 Loss_G: 0.018916 Loss_D_real: -0.020971 Loss_D_fake 0.002279
[901/5000][50/535][92805] Loss_D: -0.023670 Loss_G: 0.009405 Loss_D_real: -0.020318 Loss_D_fake 0.003351
[901/5000][55/535][92806] Loss_D: -0.023824 Loss_G: -0.002475 Loss_D_real: -0.016133 Loss_D_fake 0.007691
[901/5000][60/535][92807] Loss_D: -0.023969 Loss_G: 0.021727 Loss_D_real: -0.020594 Loss_D_fake 0.003375
[901/5000][65/535][92808] Loss_D: -0.022021 Loss_G: 0.016835 Loss_D_real: -0.029061 Loss_D_fake -0.007039
[901/5000][70/535][92809] Loss_D: -0.021684 Loss_G: -0.005593 Loss_D_real: -0.014576 Loss_D_fake 0.007108
[901/5000][75/535][92810] Loss_D: -0.023386 Loss_G: -0.001567 Loss_D_real: -0.017190 Loss_D_fake 0.006196
[901/5000][80/535][92811] Loss_D: -0.021623 Loss_G: 0.014388 Loss_D_real: -0.015791 Loss_D_fake 0.005832
[901/5000][85/535][92812] Loss_D: -0.021672 Loss_G: 0.026357 Loss_D_real: -0.022952 Loss_D_fake -0.001280
[901/5000][90/535][92813] Loss_D: -0.023053 Loss_G: 0.010302 Loss_D_real: -0.021846 Loss_D_fake 0.001207
[901/5000][95/535][92814] Loss_D: -0.022351 Loss_G: 0.017814 Loss_D_real: -0.018500 Loss_D_fake 0.003851
[901/5000][100/535][92815] Loss_D: -0.022060 Loss_G: 0.021792 Loss_D_real: -0.025954 Loss_D_fake -0.003894
[901/5000][105/535][92816] Loss_D: -0.021469 Loss_G: -0.016465 Loss_D_real: 0.003093 Loss_D_fake 0.024561
[901/5000][110/535][92817] Loss_D: -0.022022 Loss_G: 0.026171 Loss_D_real: -0.024568 Loss_D_fake -0.002546
[901/5000][115/535][92818] Loss_D: -0.023137 Loss_G: 0.010844 Loss_D_real: -0.008734 Loss_D_fake 0.014403
[901/5000][120/535][92819] Loss_D: -0.021132 Loss_G: 0.010485 Loss_D_real: -0.021309 Loss_D_fake -0.000177
[901/5000][125/535][92820] Loss_D: -0.022564 Loss_G: -0.007959 Loss_D_real: -0.016408 Loss_D_fake 0.006156
[901/5000][130/535][92821] Loss_D: -0.021211 Loss_G: 0.027400 Loss_D_real: -0.033684 Loss_D_fake -0.012473
[901/5000][135/535][92822] Loss_D: -0.021412 Loss_G: -0.017451 Loss_D_real: -0.009223 Loss_D_fake 0.012189
[901/5000][140/535][92823] Loss_D: -0.021423 Loss_G: 0.014545 Loss_D_real: -0.028712 Loss_D_fake -0.007289
[901/5000][145/535][92824] Loss_D: -0.020812 Loss_G: -0.009522 Loss_D_real: 0.000739 Loss_D_fake 0.021550
[901/5000][150/535][92825] Loss_D: -0.022893 Loss_G: -0.010025 Loss_D_real: -0.004803 Loss_D_fake 0.018090
[901/5000][155/535][92826] Loss_D: -0.021915 Loss_G: 0.004396 Loss_D_real: -0.019831 Loss_D_fake 0.002084
[901/5000][160/535][92827] Loss_D: -0.021715 Loss_G: -0.013949 Loss_D_real: -0.003944 Loss_D_fake 0.017770
[901/5000][165/535][92828] Loss_D: -0.023876 Loss_G: 0.019948 Loss_D_real: -0.025361 Loss_D_fake -0.001484
[901/5000][170/535][92829] Loss_D: -0.023195 Loss_G: 0.005515 Loss_D_real: -0.015821 Loss_D_fake 0.007374
[901/5000][175/535][92830] Loss_D: -0.021503 Loss_G: 0.011168 Loss_D_real: -0.020872 Loss_D_fake 0.000631
[901/5000][180/535][92831] Loss_D: -0.022776 Loss_G: 0.010067 Loss_D_real: -0.019275 Loss_D_fake 0.003502
[901/5000][185/535][92832] Loss_D: -0.022532 Loss_G: -0.003749 Loss_D_real: -0.013458 Loss_D_fake 0.009075
[901/5000][190/535][92833] Loss_D: -0.023508 Loss_G: 0.006587 Loss_D_real: -0.031439 Loss_D_fake -0.007930
[901/5000][195/535][92834] Loss_D: -0.023921 Loss_G: -0.010207 Loss_D_real: -0.001680 Loss_D_fake 0.022242
[901/5000][200/535][92835] Loss_D: -0.022565 Loss_G: 0.011829 Loss_D_real: -0.031326 Loss_D_fake -0.008762
[901/5000][205/535][92836] Loss_D: -0.023534 Loss_G: 0.007479 Loss_D_real: -0.011869 Loss_D_fake 0.011665
[901/5000][210/535][92837] Loss_D: -0.023263 Loss_G: 0.000456 Loss_D_real: -0.017146 Loss_D_fake 0.006117
[901/5000][215/535][92838] Loss_D: -0.023237 Loss_G: 0.018527 Loss_D_real: -0.017758 Loss_D_fake 0.005478
[901/5000][220/535][92839] Loss_D: -0.022293 Loss_G: -0.009937 Loss_D_real: -0.005338 Loss_D_fake 0.016955
[901/5000][225/535][92840] Loss_D: -0.021161 Loss_G: 0.021276 Loss_D_real: -0.037487 Loss_D_fake -0.016325
[901/5000][230/535][92841] Loss_D: -0.023205 Loss_G: 0.018197 Loss_D_real: -0.018381 Loss_D_fake 0.004824
[901/5000][235/535][92842] Loss_D: -0.021301 Loss_G: 0.016501 Loss_D_real: -0.024193 Loss_D_fake -0.002892
[901/5000][240/535][92843] Loss_D: -0.022313 Loss_G: -0.007000 Loss_D_real: -0.007619 Loss_D_fake 0.014694
[901/5000][245/535][92844] Loss_D: -0.021880 Loss_G: 0.019380 Loss_D_real: -0.027367 Loss_D_fake -0.005487
[901/5000][250/535][92845] Loss_D: -0.022402 Loss_G: -0.008304 Loss_D_real: -0.014278 Loss_D_fake 0.008124
[901/5000][255/535][92846] Loss_D: -0.022228 Loss_G: 0.005392 Loss_D_real: -0.014132 Loss_D_fake 0.008096
[901/5000][260/535][92847] Loss_D: -0.022800 Loss_G: -0.011859 Loss_D_real: -0.006853 Loss_D_fake 0.015947
[901/5000][265/535][92848] Loss_D: -0.023472 Loss_G: 0.011259 Loss_D_real: -0.012841 Loss_D_fake 0.010631
[901/5000][270/535][92849] Loss_D: -0.024464 Loss_G: 0.007503 Loss_D_real: -0.019842 Loss_D_fake 0.004623
[901/5000][275/535][92850] Loss_D: -0.022676 Loss_G: -0.006038 Loss_D_real: -0.006975 Loss_D_fake 0.015701
[901/5000][280/535][92851] Loss_D: -0.023476 Loss_G: 0.006665 Loss_D_real: -0.015086 Loss_D_fake 0.008389
[901/5000][285/535][92852] Loss_D: -0.023239 Loss_G: 0.024514 Loss_D_real: -0.026334 Loss_D_fake -0.003095
[901/5000][290/535][92853] Loss_D: -0.023362 Loss_G: 0.026463 Loss_D_real: -0.024469 Loss_D_fake -0.001107
[901/5000][295/535][92854] Loss_D: -0.022809 Loss_G: 0.008148 Loss_D_real: -0.020004 Loss_D_fake 0.002805
[901/5000][300/535][92855] Loss_D: -0.023748 Loss_G: 0.003471 Loss_D_real: -0.014837 Loss_D_fake 0.008911
[901/5000][305/535][92856] Loss_D: -0.023652 Loss_G: 0.011739 Loss_D_real: -0.019383 Loss_D_fake 0.004269
[901/5000][310/535][92857] Loss_D: -0.024455 Loss_G: 0.005423 Loss_D_real: -0.016218 Loss_D_fake 0.008238
[901/5000][315/535][92858] Loss_D: -0.022826 Loss_G: -0.002822 Loss_D_real: -0.014323 Loss_D_fake 0.008503
[901/5000][320/535][92859] Loss_D: -0.022620 Loss_G: 0.014721 Loss_D_real: -0.023049 Loss_D_fake -0.000429
[901/5000][325/535][92860] Loss_D: -0.022065 Loss_G: 0.022573 Loss_D_real: -0.022784 Loss_D_fake -0.000719
[901/5000][330/535][92861] Loss_D: -0.022551 Loss_G: -0.007908 Loss_D_real: -0.007821 Loss_D_fake 0.014731
[901/5000][335/535][92862] Loss_D: -0.022740 Loss_G: -0.003165 Loss_D_real: -0.010337 Loss_D_fake 0.012403
[901/5000][340/535][92863] Loss_D: -0.022534 Loss_G: 0.008100 Loss_D_real: -0.021619 Loss_D_fake 0.000915
[901/5000][345/535][92864] Loss_D: -0.021960 Loss_G: 0.015697 Loss_D_real: -0.020227 Loss_D_fake 0.001733
[901/5000][350/535][92865] Loss_D: -0.022906 Loss_G: 0.001617 Loss_D_real: -0.016826 Loss_D_fake 0.006081
[901/5000][355/535][92866] Loss_D: -0.023426 Loss_G: 0.015629 Loss_D_real: -0.026111 Loss_D_fake -0.002685
[901/5000][360/535][92867] Loss_D: -0.023298 Loss_G: 0.001026 Loss_D_real: -0.013013 Loss_D_fake 0.010284
[901/5000][365/535][92868] Loss_D: -0.021652 Loss_G: 0.017641 Loss_D_real: -0.008313 Loss_D_fake 0.013339
[901/5000][370/535][92869] Loss_D: -0.022183 Loss_G: 0.017818 Loss_D_real: -0.021417 Loss_D_fake 0.000766
[901/5000][375/535][92870] Loss_D: -0.020090 Loss_G: 0.016871 Loss_D_real: -0.027695 Loss_D_fake -0.007605
[901/5000][380/535][92871] Loss_D: -0.022370 Loss_G: -0.006809 Loss_D_real: -0.008276 Loss_D_fake 0.014093
[901/5000][385/535][92872] Loss_D: -0.022030 Loss_G: -0.011630 Loss_D_real: -0.014222 Loss_D_fake 0.007808
[901/5000][390/535][92873] Loss_D: -0.022126 Loss_G: 0.000311 Loss_D_real: -0.029237 Loss_D_fake -0.007111
[901/5000][395/535][92874] Loss_D: -0.023081 Loss_G: 0.019771 Loss_D_real: -0.028766 Loss_D_fake -0.005684
[901/5000][400/535][92875] Loss_D: -0.023556 Loss_G: 0.003756 Loss_D_real: -0.009023 Loss_D_fake 0.014533
[901/5000][405/535][92876] Loss_D: -0.022527 Loss_G: -0.004956 Loss_D_real: -0.004958 Loss_D_fake 0.017569
[901/5000][410/535][92877] Loss_D: -0.021470 Loss_G: 0.010917 Loss_D_real: -0.035772 Loss_D_fake -0.014302
[901/5000][415/535][92878] Loss_D: -0.022023 Loss_G: 0.021527 Loss_D_real: -0.027381 Loss_D_fake -0.005358
[901/5000][420/535][92879] Loss_D: -0.021935 Loss_G: 0.006994 Loss_D_real: -0.018374 Loss_D_fake 0.003562
[901/5000][425/535][92880] Loss_D: -0.022133 Loss_G: -0.011581 Loss_D_real: -0.008777 Loss_D_fake 0.013356
[901/5000][430/535][92881] Loss_D: -0.022211 Loss_G: 0.011419 Loss_D_real: -0.023939 Loss_D_fake -0.001728
[901/5000][435/535][92882] Loss_D: -0.023112 Loss_G: 0.013152 Loss_D_real: -0.024812 Loss_D_fake -0.001700
[901/5000][440/535][92883] Loss_D: -0.021270 Loss_G: 0.015948 Loss_D_real: -0.030782 Loss_D_fake -0.009512
[901/5000][445/535][92884] Loss_D: -0.022132 Loss_G: 0.007214 Loss_D_real: -0.015464 Loss_D_fake 0.006668
[901/5000][450/535][92885] Loss_D: -0.021657 Loss_G: -0.008274 Loss_D_real: -0.003544 Loss_D_fake 0.018113
[901/5000][455/535][92886] Loss_D: -0.021164 Loss_G: 0.022770 Loss_D_real: -0.028113 Loss_D_fake -0.006949
[901/5000][460/535][92887] Loss_D: -0.021699 Loss_G: -0.017057 Loss_D_real: -0.000365 Loss_D_fake 0.021334
[901/5000][465/535][92888] Loss_D: -0.022735 Loss_G: -0.001070 Loss_D_real: -0.021615 Loss_D_fake 0.001120
[901/5000][470/535][92889] Loss_D: -0.021767 Loss_G: 0.006303 Loss_D_real: -0.015745 Loss_D_fake 0.006022
[901/5000][475/535][92890] Loss_D: -0.021218 Loss_G: 0.011359 Loss_D_real: -0.032936 Loss_D_fake -0.011717
[901/5000][480/535][92891] Loss_D: -0.023301 Loss_G: 0.019935 Loss_D_real: -0.026124 Loss_D_fake -0.002824
[901/5000][485/535][92892] Loss_D: -0.022856 Loss_G: 0.001471 Loss_D_real: -0.012025 Loss_D_fake 0.010831
[901/5000][490/535][92893] Loss_D: -0.020948 Loss_G: 0.016539 Loss_D_real: -0.031394 Loss_D_fake -0.010446
[901/5000][495/535][92894] Loss_D: -0.021581 Loss_G: 0.005794 Loss_D_real: -0.010993 Loss_D_fake 0.010588
[901/5000][500/535][92895] Loss_D: -0.022066 Loss_G: 0.017659 Loss_D_real: -0.011982 Loss_D_fake 0.010084
[901/5000][505/535][92896] Loss_D: -0.023318 Loss_G: -0.001631 Loss_D_real: -0.014375 Loss_D_fake 0.008943
[901/5000][510/535][92897] Loss_D: -0.022615 Loss_G: 0.000691 Loss_D_real: -0.020219 Loss_D_fake 0.002396
[901/5000][515/535][92898] Loss_D: -0.024113 Loss_G: 0.003288 Loss_D_real: -0.022441 Loss_D_fake 0.001672
[901/5000][520/535][92899] Loss_D: -0.022652 Loss_G: 0.010636 Loss_D_real: -0.034434 Loss_D_fake -0.011781
[901/5000][525/535][92900] Loss_D: -0.022970 Loss_G: 0.006386 Loss_D_real: -0.021949 Loss_D_fake 0.001020
[901/5000][530/535][92901] Loss_D: -0.022337 Loss_G: -0.011066 Loss_D_real: -0.012217 Loss_D_fake 0.010120
[901/5000][535/535][92902] Loss_D: -0.023366 Loss_G: 0.001195 Loss_D_real: -0.007858 Loss_D_fake 0.015508
[902/5000][5/535][92903] Loss_D: -0.023061 Loss_G: 0.013289 Loss_D_real: -0.029616 Loss_D_fake -0.006555
[902/5000][10/535][92904] Loss_D: -0.021412 Loss_G: 0.019963 Loss_D_real: -0.037442 Loss_D_fake -0.016030
[902/5000][15/535][92905] Loss_D: -0.023307 Loss_G: 0.001953 Loss_D_real: -0.008184 Loss_D_fake 0.015123
[902/5000][20/535][92906] Loss_D: -0.022374 Loss_G: 0.017036 Loss_D_real: -0.024881 Loss_D_fake -0.002508
[902/5000][25/535][92907] Loss_D: -0.022313 Loss_G: -0.011593 Loss_D_real: -0.011360 Loss_D_fake 0.010952
[902/5000][30/535][92908] Loss_D: -0.023077 Loss_G: 0.003572 Loss_D_real: -0.005709 Loss_D_fake 0.017367
[902/5000][35/535][92909] Loss_D: -0.022775 Loss_G: 0.004320 Loss_D_real: -0.016628 Loss_D_fake 0.006147
[902/5000][40/535][92910] Loss_D: -0.022888 Loss_G: 0.013042 Loss_D_real: -0.019093 Loss_D_fake 0.003795
[902/5000][45/535][92911] Loss_D: -0.021650 Loss_G: 0.013598 Loss_D_real: -0.021184 Loss_D_fake 0.000467
[902/5000][50/535][92912] Loss_D: -0.022800 Loss_G: 0.008761 Loss_D_real: -0.011357 Loss_D_fake 0.011443
[902/5000][55/535][92913] Loss_D: -0.022416 Loss_G: 0.004432 Loss_D_real: -0.012763 Loss_D_fake 0.009654
[902/5000][60/535][92914] Loss_D: -0.023576 Loss_G: 0.014288 Loss_D_real: -0.015794 Loss_D_fake 0.007783
[902/5000][65/535][92915] Loss_D: -0.022248 Loss_G: -0.009157 Loss_D_real: -0.017111 Loss_D_fake 0.005137
[902/5000][70/535][92916] Loss_D: -0.021536 Loss_G: 0.020373 Loss_D_real: -0.028234 Loss_D_fake -0.006698
[902/5000][75/535][92917] Loss_D: -0.023147 Loss_G: -0.007838 Loss_D_real: -0.009988 Loss_D_fake 0.013159
[902/5000][80/535][92918] Loss_D: -0.021150 Loss_G: 0.029885 Loss_D_real: -0.025900 Loss_D_fake -0.004749
[902/5000][85/535][92919] Loss_D: -0.021253 Loss_G: -0.007506 Loss_D_real: -0.001589 Loss_D_fake 0.019664
[902/5000][90/535][92920] Loss_D: -0.021789 Loss_G: 0.021568 Loss_D_real: -0.031138 Loss_D_fake -0.009349
[902/5000][95/535][92921] Loss_D: -0.021123 Loss_G: 0.000909 Loss_D_real: -0.008862 Loss_D_fake 0.012261
[902/5000][100/535][92922] Loss_D: -0.021351 Loss_G: 0.003733 Loss_D_real: -0.027341 Loss_D_fake -0.005989
[902/5000][105/535][92923] Loss_D: -0.023192 Loss_G: 0.004176 Loss_D_real: -0.020024 Loss_D_fake 0.003168
[902/5000][110/535][92924] Loss_D: -0.021687 Loss_G: 0.007114 Loss_D_real: -0.020993 Loss_D_fake 0.000694
[902/5000][115/535][92925] Loss_D: -0.024484 Loss_G: 0.010308 Loss_D_real: -0.023214 Loss_D_fake 0.001269
[902/5000][120/535][92926] Loss_D: -0.023457 Loss_G: 0.017769 Loss_D_real: -0.028248 Loss_D_fake -0.004791
[902/5000][125/535][92927] Loss_D: -0.022359 Loss_G: 0.006742 Loss_D_real: -0.017443 Loss_D_fake 0.004915
[902/5000][130/535][92928] Loss_D: -0.022848 Loss_G: 0.026250 Loss_D_real: -0.034162 Loss_D_fake -0.011314
[902/5000][135/535][92929] Loss_D: -0.023256 Loss_G: -0.000018 Loss_D_real: -0.015033 Loss_D_fake 0.008223
[902/5000][140/535][92930] Loss_D: -0.022601 Loss_G: 0.017680 Loss_D_real: -0.025398 Loss_D_fake -0.002796
[902/5000][145/535][92931] Loss_D: -0.022510 Loss_G: 0.005819 Loss_D_real: -0.014397 Loss_D_fake 0.008114
[902/5000][150/535][92932] Loss_D: -0.023388 Loss_G: 0.008397 Loss_D_real: -0.016033 Loss_D_fake 0.007355
[902/5000][155/535][92933] Loss_D: -0.022687 Loss_G: -0.006584 Loss_D_real: -0.001726 Loss_D_fake 0.020961
[902/5000][160/535][92934] Loss_D: -0.022147 Loss_G: 0.021745 Loss_D_real: -0.030170 Loss_D_fake -0.008023
[902/5000][165/535][92935] Loss_D: -0.022122 Loss_G: -0.018936 Loss_D_real: -0.000241 Loss_D_fake 0.021881
[902/5000][170/535][92936] Loss_D: -0.020849 Loss_G: 0.021928 Loss_D_real: -0.029739 Loss_D_fake -0.008889
[902/5000][175/535][92937] Loss_D: -0.023010 Loss_G: 0.024578 Loss_D_real: -0.026570 Loss_D_fake -0.003560
[902/5000][180/535][92938] Loss_D: -0.022974 Loss_G: 0.009769 Loss_D_real: -0.012574 Loss_D_fake 0.010400
[902/5000][185/535][92939] Loss_D: -0.021845 Loss_G: 0.020999 Loss_D_real: -0.033645 Loss_D_fake -0.011800
[902/5000][190/535][92940] Loss_D: -0.021259 Loss_G: 0.005201 Loss_D_real: -0.015988 Loss_D_fake 0.005272
[902/5000][195/535][92941] Loss_D: -0.022233 Loss_G: 0.009710 Loss_D_real: -0.017939 Loss_D_fake 0.004294
[902/5000][200/535][92942] Loss_D: -0.023260 Loss_G: -0.009957 Loss_D_real: -0.009934 Loss_D_fake 0.013326
[902/5000][205/535][92943] Loss_D: -0.022229 Loss_G: 0.008466 Loss_D_real: -0.026660 Loss_D_fake -0.004431
[902/5000][210/535][92944] Loss_D: -0.024269 Loss_G: 0.017307 Loss_D_real: -0.020513 Loss_D_fake 0.003756
[902/5000][215/535][92945] Loss_D: -0.024170 Loss_G: 0.005628 Loss_D_real: -0.012680 Loss_D_fake 0.011491
[902/5000][220/535][92946] Loss_D: -0.021886 Loss_G: 0.005349 Loss_D_real: -0.010107 Loss_D_fake 0.011778
[902/5000][225/535][92947] Loss_D: -0.023032 Loss_G: 0.007573 Loss_D_real: -0.026173 Loss_D_fake -0.003141
[902/5000][230/535][92948] Loss_D: -0.023384 Loss_G: 0.015908 Loss_D_real: -0.017254 Loss_D_fake 0.006130
[902/5000][235/535][92949] Loss_D: -0.022051 Loss_G: 0.006146 Loss_D_real: -0.021055 Loss_D_fake 0.000996
[902/5000][240/535][92950] Loss_D: -0.022552 Loss_G: 0.014606 Loss_D_real: -0.016002 Loss_D_fake 0.006550
[902/5000][245/535][92951] Loss_D: -0.023432 Loss_G: 0.012437 Loss_D_real: -0.014525 Loss_D_fake 0.008907
[902/5000][250/535][92952] Loss_D: -0.020838 Loss_G: 0.012253 Loss_D_real: -0.022229 Loss_D_fake -0.001391
[902/5000][255/535][92953] Loss_D: -0.021579 Loss_G: 0.001508 Loss_D_real: -0.014864 Loss_D_fake 0.006715
[902/5000][260/535][92954] Loss_D: -0.022686 Loss_G: -0.001950 Loss_D_real: -0.017100 Loss_D_fake 0.005587
[902/5000][265/535][92955] Loss_D: -0.022237 Loss_G: 0.007095 Loss_D_real: -0.016748 Loss_D_fake 0.005489
[902/5000][270/535][92956] Loss_D: -0.021378 Loss_G: 0.014544 Loss_D_real: -0.040634 Loss_D_fake -0.019256
[902/5000][275/535][92957] Loss_D: -0.022014 Loss_G: -0.013002 Loss_D_real: -0.003120 Loss_D_fake 0.018893
[902/5000][280/535][92958] Loss_D: -0.019865 Loss_G: -0.015457 Loss_D_real: -0.002035 Loss_D_fake 0.017831
[902/5000][285/535][92959] Loss_D: -0.021527 Loss_G: 0.000863 Loss_D_real: -0.014184 Loss_D_fake 0.007343
[902/5000][290/535][92960] Loss_D: -0.021905 Loss_G: 0.008110 Loss_D_real: -0.010120 Loss_D_fake 0.011786
[902/5000][295/535][92961] Loss_D: -0.021814 Loss_G: 0.016765 Loss_D_real: -0.020658 Loss_D_fake 0.001156
[902/5000][300/535][92962] Loss_D: -0.021591 Loss_G: 0.007363 Loss_D_real: -0.016424 Loss_D_fake 0.005168
[902/5000][305/535][92963] Loss_D: -0.021591 Loss_G: 0.010574 Loss_D_real: -0.020176 Loss_D_fake 0.001415
[902/5000][310/535][92964] Loss_D: -0.022013 Loss_G: 0.027899 Loss_D_real: -0.027873 Loss_D_fake -0.005860
[902/5000][315/535][92965] Loss_D: -0.022510 Loss_G: -0.005154 Loss_D_real: -0.019217 Loss_D_fake 0.003293
[902/5000][320/535][92966] Loss_D: -0.023309 Loss_G: 0.000834 Loss_D_real: -0.014983 Loss_D_fake 0.008326
[902/5000][325/535][92967] Loss_D: -0.022243 Loss_G: 0.017603 Loss_D_real: -0.019442 Loss_D_fake 0.002801
[902/5000][330/535][92968] Loss_D: -0.022885 Loss_G: 0.019211 Loss_D_real: -0.025319 Loss_D_fake -0.002434
[902/5000][335/535][92969] Loss_D: -0.022883 Loss_G: -0.011452 Loss_D_real: -0.010296 Loss_D_fake 0.012587
[902/5000][340/535][92970] Loss_D: -0.022473 Loss_G: 0.004574 Loss_D_real: -0.008697 Loss_D_fake 0.013777
[902/5000][345/535][92971] Loss_D: -0.021677 Loss_G: 0.026037 Loss_D_real: -0.032894 Loss_D_fake -0.011217
[902/5000][350/535][92972] Loss_D: -0.023583 Loss_G: 0.000432 Loss_D_real: -0.014743 Loss_D_fake 0.008841
[902/5000][355/535][92973] Loss_D: -0.021603 Loss_G: 0.028539 Loss_D_real: -0.032702 Loss_D_fake -0.011099
[902/5000][360/535][92974] Loss_D: -0.021441 Loss_G: -0.012500 Loss_D_real: -0.005812 Loss_D_fake 0.015629
[902/5000][365/535][92975] Loss_D: -0.021784 Loss_G: 0.017847 Loss_D_real: -0.019681 Loss_D_fake 0.002103
[902/5000][370/535][92976] Loss_D: -0.021348 Loss_G: -0.006119 Loss_D_real: -0.010181 Loss_D_fake 0.011167
[902/5000][375/535][92977] Loss_D: -0.021815 Loss_G: 0.024042 Loss_D_real: -0.024036 Loss_D_fake -0.002221
[902/5000][380/535][92978] Loss_D: -0.022332 Loss_G: 0.001548 Loss_D_real: -0.015099 Loss_D_fake 0.007233
[902/5000][385/535][92979] Loss_D: -0.023615 Loss_G: 0.013314 Loss_D_real: -0.016180 Loss_D_fake 0.007435
[902/5000][390/535][92980] Loss_D: -0.021632 Loss_G: 0.007814 Loss_D_real: -0.025667 Loss_D_fake -0.004035
[902/5000][395/535][92981] Loss_D: -0.022295 Loss_G: 0.022737 Loss_D_real: -0.026132 Loss_D_fake -0.003838
[902/5000][400/535][92982] Loss_D: -0.022078 Loss_G: 0.019774 Loss_D_real: -0.021724 Loss_D_fake 0.000354
[902/5000][405/535][92983] Loss_D: -0.022675 Loss_G: 0.015235 Loss_D_real: -0.016360 Loss_D_fake 0.006315
[902/5000][410/535][92984] Loss_D: -0.022615 Loss_G: 0.006451 Loss_D_real: -0.015340 Loss_D_fake 0.007275
[902/5000][415/535][92985] Loss_D: -0.022056 Loss_G: 0.017226 Loss_D_real: -0.022925 Loss_D_fake -0.000869
[902/5000][420/535][92986] Loss_D: -0.023413 Loss_G: 0.026050 Loss_D_real: -0.026476 Loss_D_fake -0.003063
[902/5000][425/535][92987] Loss_D: -0.022968 Loss_G: 0.001277 Loss_D_real: -0.018130 Loss_D_fake 0.004838
[902/5000][430/535][92988] Loss_D: -0.022696 Loss_G: 0.006567 Loss_D_real: -0.026936 Loss_D_fake -0.004240
[902/5000][435/535][92989] Loss_D: -0.020653 Loss_G: 0.007236 Loss_D_real: -0.012562 Loss_D_fake 0.008091
[902/5000][440/535][92990] Loss_D: -0.022463 Loss_G: 0.006237 Loss_D_real: -0.014816 Loss_D_fake 0.007647
[902/5000][445/535][92991] Loss_D: -0.022630 Loss_G: 0.014795 Loss_D_real: -0.009573 Loss_D_fake 0.013057
[902/5000][450/535][92992] Loss_D: -0.023082 Loss_G: 0.000026 Loss_D_real: -0.016242 Loss_D_fake 0.006840
[902/5000][455/535][92993] Loss_D: -0.021595 Loss_G: 0.023391 Loss_D_real: -0.036348 Loss_D_fake -0.014753
[902/5000][460/535][92994] Loss_D: -0.023875 Loss_G: 0.002159 Loss_D_real: -0.011830 Loss_D_fake 0.012045
[902/5000][465/535][92995] Loss_D: -0.021926 Loss_G: 0.010028 Loss_D_real: -0.015351 Loss_D_fake 0.006575
[902/5000][470/535][92996] Loss_D: -0.021254 Loss_G: -0.003858 Loss_D_real: -0.008305 Loss_D_fake 0.012949
[902/5000][475/535][92997] Loss_D: -0.022629 Loss_G: 0.023368 Loss_D_real: -0.026132 Loss_D_fake -0.003503
[902/5000][480/535][92998] Loss_D: -0.023103 Loss_G: 0.001209 Loss_D_real: -0.021806 Loss_D_fake 0.001296
[902/5000][485/535][92999] Loss_D: -0.023560 Loss_G: 0.016962 Loss_D_real: -0.023458 Loss_D_fake 0.000102
[902/5000][490/535][93000] Loss_D: -0.023034 Loss_G: 0.026626 Loss_D_real: -0.030664 Loss_D_fake -0.007631
[902/5000][535/535][93001] Loss_D: -0.024673 Loss_G: -0.003501 Loss_D_real: -0.029864 Loss_D_fake -0.005192
[903/5000][5/535][93002] Loss_D: -0.023406 Loss_G: -0.001626 Loss_D_real: -0.003153 Loss_D_fake 0.020254
[903/5000][10/535][93003] Loss_D: -0.021384 Loss_G: 0.015466 Loss_D_real: -0.033197 Loss_D_fake -0.011813
[903/5000][15/535][93004] Loss_D: -0.022522 Loss_G: -0.001294 Loss_D_real: -0.009263 Loss_D_fake 0.013260
[903/5000][20/535][93005] Loss_D: -0.020781 Loss_G: 0.000712 Loss_D_real: -0.012523 Loss_D_fake 0.008258
[903/5000][25/535][93006] Loss_D: -0.023343 Loss_G: 0.028417 Loss_D_real: -0.037812 Loss_D_fake -0.014469
[903/5000][30/535][93007] Loss_D: -0.023300 Loss_G: 0.019729 Loss_D_real: -0.010974 Loss_D_fake 0.012326
[903/5000][35/535][93008] Loss_D: -0.020843 Loss_G: 0.019440 Loss_D_real: -0.023216 Loss_D_fake -0.002373
[903/5000][40/535][93009] Loss_D: -0.023558 Loss_G: 0.005902 Loss_D_real: -0.010529 Loss_D_fake 0.013029
[903/5000][45/535][93010] Loss_D: -0.022612 Loss_G: 0.018374 Loss_D_real: -0.026549 Loss_D_fake -0.003937
[903/5000][50/535][93011] Loss_D: -0.022453 Loss_G: -0.005058 Loss_D_real: -0.011170 Loss_D_fake 0.011284
[903/5000][55/535][93012] Loss_D: -0.021003 Loss_G: 0.024535 Loss_D_real: -0.023790 Loss_D_fake -0.002787
[903/5000][60/535][93013] Loss_D: -0.023166 Loss_G: -0.004585 Loss_D_real: -0.021407 Loss_D_fake 0.001759
[903/5000][65/535][93014] Loss_D: -0.021945 Loss_G: 0.036346 Loss_D_real: -0.027567 Loss_D_fake -0.005622
[903/5000][70/535][93015] Loss_D: -0.021901 Loss_G: 0.006779 Loss_D_real: -0.033720 Loss_D_fake -0.011818
[903/5000][75/535][93016] Loss_D: -0.022715 Loss_G: -0.000064 Loss_D_real: -0.022025 Loss_D_fake 0.000691
[903/5000][80/535][93017] Loss_D: -0.022499 Loss_G: -0.006417 Loss_D_real: -0.005532 Loss_D_fake 0.016967
[903/5000][85/535][93018] Loss_D: -0.021690 Loss_G: 0.013685 Loss_D_real: -0.022119 Loss_D_fake -0.000429
[903/5000][90/535][93019] Loss_D: -0.022770 Loss_G: -0.000449 Loss_D_real: -0.015953 Loss_D_fake 0.006818
[903/5000][95/535][93020] Loss_D: -0.023083 Loss_G: 0.010378 Loss_D_real: -0.029554 Loss_D_fake -0.006472
[903/5000][100/535][93021] Loss_D: -0.022738 Loss_G: 0.007788 Loss_D_real: -0.025009 Loss_D_fake -0.002271
[903/5000][105/535][93022] Loss_D: -0.021672 Loss_G: -0.000109 Loss_D_real: -0.009166 Loss_D_fake 0.012506
[903/5000][110/535][93023] Loss_D: -0.021540 Loss_G: 0.017399 Loss_D_real: -0.019051 Loss_D_fake 0.002490
[903/5000][115/535][93024] Loss_D: -0.022732 Loss_G: 0.000017 Loss_D_real: -0.019724 Loss_D_fake 0.003008
[903/5000][120/535][93025] Loss_D: -0.021905 Loss_G: 0.019338 Loss_D_real: -0.033990 Loss_D_fake -0.012085
[903/5000][125/535][93026] Loss_D: -0.022002 Loss_G: 0.002129 Loss_D_real: -0.020849 Loss_D_fake 0.001153
[903/5000][130/535][93027] Loss_D: -0.021879 Loss_G: 0.018961 Loss_D_real: -0.024272 Loss_D_fake -0.002393
[903/5000][135/535][93028] Loss_D: -0.021885 Loss_G: -0.013584 Loss_D_real: -0.008414 Loss_D_fake 0.013471
[903/5000][140/535][93029] Loss_D: -0.020885 Loss_G: 0.015113 Loss_D_real: -0.025381 Loss_D_fake -0.004496
[903/5000][145/535][93030] Loss_D: -0.021484 Loss_G: 0.005973 Loss_D_real: -0.010136 Loss_D_fake 0.011348
[903/5000][150/535][93031] Loss_D: -0.023379 Loss_G: 0.011700 Loss_D_real: -0.009136 Loss_D_fake 0.014243
[903/5000][155/535][93032] Loss_D: -0.022761 Loss_G: 0.007742 Loss_D_real: -0.008458 Loss_D_fake 0.014303
[903/5000][160/535][93033] Loss_D: -0.021218 Loss_G: -0.014179 Loss_D_real: 0.000140 Loss_D_fake 0.021358
[903/5000][165/535][93034] Loss_D: -0.021318 Loss_G: 0.012945 Loss_D_real: -0.024562 Loss_D_fake -0.003245
[903/5000][170/535][93035] Loss_D: -0.022761 Loss_G: 0.007928 Loss_D_real: -0.021292 Loss_D_fake 0.001469
[903/5000][175/535][93036] Loss_D: -0.021387 Loss_G: 0.010551 Loss_D_real: -0.013471 Loss_D_fake 0.007916
[903/5000][180/535][93037] Loss_D: -0.021885 Loss_G: 0.003710 Loss_D_real: -0.020846 Loss_D_fake 0.001039
[903/5000][185/535][93038] Loss_D: -0.022342 Loss_G: 0.012690 Loss_D_real: -0.015023 Loss_D_fake 0.007319
[903/5000][190/535][93039] Loss_D: -0.022609 Loss_G: 0.021299 Loss_D_real: -0.020061 Loss_D_fake 0.002548
[903/5000][195/535][93040] Loss_D: -0.022339 Loss_G: 0.001938 Loss_D_real: -0.021157 Loss_D_fake 0.001182
[903/5000][200/535][93041] Loss_D: -0.023237 Loss_G: 0.013436 Loss_D_real: -0.028642 Loss_D_fake -0.005405
[903/5000][205/535][93042] Loss_D: -0.021832 Loss_G: 0.011682 Loss_D_real: -0.015037 Loss_D_fake 0.006796
[903/5000][210/535][93043] Loss_D: -0.020570 Loss_G: 0.007506 Loss_D_real: -0.018030 Loss_D_fake 0.002540
[903/5000][215/535][93044] Loss_D: -0.022153 Loss_G: 0.013285 Loss_D_real: -0.027052 Loss_D_fake -0.004899
[903/5000][220/535][93045] Loss_D: -0.023042 Loss_G: 0.013172 Loss_D_real: -0.025102 Loss_D_fake -0.002060
[903/5000][225/535][93046] Loss_D: -0.020145 Loss_G: -0.017550 Loss_D_real: 0.005166 Loss_D_fake 0.025311
[903/5000][230/535][93047] Loss_D: -0.021535 Loss_G: 0.001178 Loss_D_real: -0.023666 Loss_D_fake -0.002131
[903/5000][235/535][93048] Loss_D: -0.022086 Loss_G: 0.002432 Loss_D_real: -0.021198 Loss_D_fake 0.000888
[903/5000][240/535][93049] Loss_D: -0.022291 Loss_G: -0.002802 Loss_D_real: -0.008784 Loss_D_fake 0.013507
[903/5000][245/535][93050] Loss_D: -0.022537 Loss_G: 0.013661 Loss_D_real: -0.017339 Loss_D_fake 0.005198
[903/5000][250/535][93051] Loss_D: -0.022442 Loss_G: 0.013834 Loss_D_real: -0.022250 Loss_D_fake 0.000192
[903/5000][255/535][93052] Loss_D: -0.022810 Loss_G: 0.004652 Loss_D_real: -0.014592 Loss_D_fake 0.008218
[903/5000][260/535][93053] Loss_D: -0.022935 Loss_G: 0.009735 Loss_D_real: -0.033517 Loss_D_fake -0.010582
[903/5000][265/535][93054] Loss_D: -0.023475 Loss_G: 0.018776 Loss_D_real: -0.018404 Loss_D_fake 0.005071
[903/5000][270/535][93055] Loss_D: -0.022721 Loss_G: 0.016345 Loss_D_real: -0.029091 Loss_D_fake -0.006370
[903/5000][275/535][93056] Loss_D: -0.021752 Loss_G: 0.026379 Loss_D_real: -0.032154 Loss_D_fake -0.010402
[903/5000][280/535][93057] Loss_D: -0.023292 Loss_G: -0.007687 Loss_D_real: -0.018274 Loss_D_fake 0.005018
[903/5000][285/535][93058] Loss_D: -0.023075 Loss_G: 0.002197 Loss_D_real: -0.008420 Loss_D_fake 0.014654
[903/5000][290/535][93059] Loss_D: -0.024047 Loss_G: 0.003434 Loss_D_real: -0.023201 Loss_D_fake 0.000846
[903/5000][295/535][93060] Loss_D: -0.023733 Loss_G: 0.018491 Loss_D_real: -0.026283 Loss_D_fake -0.002550
[903/5000][300/535][93061] Loss_D: -0.022590 Loss_G: 0.012559 Loss_D_real: -0.028990 Loss_D_fake -0.006400
[903/5000][305/535][93062] Loss_D: -0.022913 Loss_G: -0.004616 Loss_D_real: -0.014913 Loss_D_fake 0.008000
[903/5000][310/535][93063] Loss_D: -0.023050 Loss_G: 0.012648 Loss_D_real: -0.030049 Loss_D_fake -0.006999
[903/5000][315/535][93064] Loss_D: -0.022738 Loss_G: 0.025448 Loss_D_real: -0.026299 Loss_D_fake -0.003561
[903/5000][320/535][93065] Loss_D: -0.023294 Loss_G: 0.021569 Loss_D_real: -0.027197 Loss_D_fake -0.003903
[903/5000][325/535][93066] Loss_D: -0.021116 Loss_G: 0.019308 Loss_D_real: -0.032700 Loss_D_fake -0.011584
[903/5000][330/535][93067] Loss_D: -0.021578 Loss_G: 0.026913 Loss_D_real: -0.031719 Loss_D_fake -0.010141
[903/5000][335/535][93068] Loss_D: -0.022348 Loss_G: -0.013855 Loss_D_real: -0.000531 Loss_D_fake 0.021817
[903/5000][340/535][93069] Loss_D: -0.021967 Loss_G: 0.021624 Loss_D_real: -0.026813 Loss_D_fake -0.004846
[903/5000][345/535][93070] Loss_D: -0.023394 Loss_G: 0.002707 Loss_D_real: -0.010944 Loss_D_fake 0.012450
[903/5000][350/535][93071] Loss_D: -0.022100 Loss_G: 0.009158 Loss_D_real: -0.019390 Loss_D_fake 0.002710
[903/5000][355/535][93072] Loss_D: -0.023620 Loss_G: -0.003303 Loss_D_real: -0.015422 Loss_D_fake 0.008198
[903/5000][360/535][93073] Loss_D: -0.022848 Loss_G: 0.007259 Loss_D_real: -0.016241 Loss_D_fake 0.006608
[903/5000][365/535][93074] Loss_D: -0.023158 Loss_G: 0.008326 Loss_D_real: -0.015646 Loss_D_fake 0.007511
[903/5000][370/535][93075] Loss_D: -0.020925 Loss_G: 0.011860 Loss_D_real: -0.028588 Loss_D_fake -0.007663
[903/5000][375/535][93076] Loss_D: -0.022472 Loss_G: -0.000864 Loss_D_real: -0.006993 Loss_D_fake 0.015479
[903/5000][380/535][93077] Loss_D: -0.022044 Loss_G: 0.019565 Loss_D_real: -0.027904 Loss_D_fake -0.005860
[903/5000][385/535][93078] Loss_D: -0.022728 Loss_G: 0.004657 Loss_D_real: -0.014205 Loss_D_fake 0.008523
[903/5000][390/535][93079] Loss_D: -0.021572 Loss_G: 0.021438 Loss_D_real: -0.019208 Loss_D_fake 0.002364
[903/5000][395/535][93080] Loss_D: -0.022096 Loss_G: 0.017667 Loss_D_real: -0.026193 Loss_D_fake -0.004097
[903/5000][400/535][93081] Loss_D: -0.021791 Loss_G: 0.013402 Loss_D_real: -0.026846 Loss_D_fake -0.005056
[903/5000][405/535][93082] Loss_D: -0.022599 Loss_G: -0.002634 Loss_D_real: -0.017354 Loss_D_fake 0.005245
[903/5000][410/535][93083] Loss_D: -0.021710 Loss_G: 0.018177 Loss_D_real: -0.024223 Loss_D_fake -0.002514
[903/5000][415/535][93084] Loss_D: -0.021776 Loss_G: -0.000447 Loss_D_real: -0.000612 Loss_D_fake 0.021164
[903/5000][420/535][93085] Loss_D: -0.022141 Loss_G: -0.009445 Loss_D_real: -0.014533 Loss_D_fake 0.007608
[903/5000][425/535][93086] Loss_D: -0.022367 Loss_G: 0.004997 Loss_D_real: -0.013116 Loss_D_fake 0.009251
[903/5000][430/535][93087] Loss_D: -0.022333 Loss_G: 0.026960 Loss_D_real: -0.027314 Loss_D_fake -0.004982
[903/5000][435/535][93088] Loss_D: -0.022183 Loss_G: 0.013212 Loss_D_real: -0.024919 Loss_D_fake -0.002736
[903/5000][440/535][93089] Loss_D: -0.022931 Loss_G: 0.006813 Loss_D_real: -0.009535 Loss_D_fake 0.013396
[903/5000][445/535][93090] Loss_D: -0.022560 Loss_G: 0.003684 Loss_D_real: -0.012706 Loss_D_fake 0.009853
[903/5000][450/535][93091] Loss_D: -0.022831 Loss_G: 0.003534 Loss_D_real: -0.030437 Loss_D_fake -0.007606
[903/5000][455/535][93092] Loss_D: -0.023586 Loss_G: 0.008492 Loss_D_real: -0.017404 Loss_D_fake 0.006182
[903/5000][460/535][93093] Loss_D: -0.022640 Loss_G: 0.006601 Loss_D_real: -0.007849 Loss_D_fake 0.014791
[903/5000][465/535][93094] Loss_D: -0.023363 Loss_G: -0.014294 Loss_D_real: -0.005051 Loss_D_fake 0.018312
[903/5000][470/535][93095] Loss_D: -0.022853 Loss_G: -0.003039 Loss_D_real: -0.015099 Loss_D_fake 0.007754
[903/5000][475/535][93096] Loss_D: -0.023544 Loss_G: 0.011106 Loss_D_real: -0.014906 Loss_D_fake 0.008638
[903/5000][480/535][93097] Loss_D: -0.023349 Loss_G: -0.006339 Loss_D_real: -0.004798 Loss_D_fake 0.018551
[903/5000][485/535][93098] Loss_D: -0.022688 Loss_G: 0.013226 Loss_D_real: -0.024498 Loss_D_fake -0.001811
[903/5000][490/535][93099] Loss_D: -0.022174 Loss_G: 0.005894 Loss_D_real: -0.009788 Loss_D_fake 0.012385
[903/5000][495/535][93100] Loss_D: -0.022337 Loss_G: -0.000522 Loss_D_real: -0.015288 Loss_D_fake 0.007049
[903/5000][500/535][93101] Loss_D: -0.022260 Loss_G: 0.023859 Loss_D_real: -0.031138 Loss_D_fake -0.008878
[903/5000][505/535][93102] Loss_D: -0.023280 Loss_G: 0.013216 Loss_D_real: -0.009330 Loss_D_fake 0.013951
[903/5000][510/535][93103] Loss_D: -0.021364 Loss_G: 0.029441 Loss_D_real: -0.029161 Loss_D_fake -0.007797
[903/5000][515/535][93104] Loss_D: -0.023581 Loss_G: 0.005976 Loss_D_real: -0.019198 Loss_D_fake 0.004383
[903/5000][520/535][93105] Loss_D: -0.023044 Loss_G: 0.015242 Loss_D_real: -0.028316 Loss_D_fake -0.005271
[903/5000][525/535][93106] Loss_D: -0.022205 Loss_G: 0.009972 Loss_D_real: -0.014329 Loss_D_fake 0.007876
[903/5000][530/535][93107] Loss_D: -0.022492 Loss_G: -0.005037 Loss_D_real: -0.015500 Loss_D_fake 0.006992
[903/5000][535/535][93108] Loss_D: -0.025183 Loss_G: 0.007605 Loss_D_real: -0.022744 Loss_D_fake 0.002439
[904/5000][5/535][93109] Loss_D: -0.022558 Loss_G: 0.014411 Loss_D_real: -0.030372 Loss_D_fake -0.007814
[904/5000][10/535][93110] Loss_D: -0.022217 Loss_G: 0.022724 Loss_D_real: -0.021458 Loss_D_fake 0.000759
[904/5000][15/535][93111] Loss_D: -0.022427 Loss_G: -0.001948 Loss_D_real: -0.015879 Loss_D_fake 0.006548
[904/5000][20/535][93112] Loss_D: -0.022015 Loss_G: 0.020505 Loss_D_real: -0.026758 Loss_D_fake -0.004743
[904/5000][25/535][93113] Loss_D: -0.021689 Loss_G: 0.013457 Loss_D_real: -0.020586 Loss_D_fake 0.001103
[904/5000][30/535][93114] Loss_D: -0.021796 Loss_G: 0.009826 Loss_D_real: -0.020425 Loss_D_fake 0.001371
[904/5000][35/535][93115] Loss_D: -0.023433 Loss_G: 0.017123 Loss_D_real: -0.016015 Loss_D_fake 0.007418
[904/5000][40/535][93116] Loss_D: -0.023795 Loss_G: 0.012495 Loss_D_real: -0.017213 Loss_D_fake 0.006582
[904/5000][45/535][93117] Loss_D: -0.022512 Loss_G: 0.013901 Loss_D_real: -0.021198 Loss_D_fake 0.001314
[904/5000][50/535][93118] Loss_D: -0.022259 Loss_G: -0.009696 Loss_D_real: -0.006307 Loss_D_fake 0.015952
[904/5000][55/535][93119] Loss_D: -0.023052 Loss_G: 0.018267 Loss_D_real: -0.018022 Loss_D_fake 0.005029
[904/5000][60/535][93120] Loss_D: -0.023535 Loss_G: -0.001952 Loss_D_real: -0.021186 Loss_D_fake 0.002349
[904/5000][65/535][93121] Loss_D: -0.022687 Loss_G: 0.026025 Loss_D_real: -0.026720 Loss_D_fake -0.004033
[904/5000][70/535][93122] Loss_D: -0.022405 Loss_G: -0.017194 Loss_D_real: -0.005850 Loss_D_fake 0.016555
[904/5000][75/535][93123] Loss_D: -0.022012 Loss_G: 0.000975 Loss_D_real: -0.012094 Loss_D_fake 0.009919
[904/5000][80/535][93124] Loss_D: -0.022318 Loss_G: 0.008231 Loss_D_real: -0.005416 Loss_D_fake 0.016902
[904/5000][85/535][93125] Loss_D: -0.021358 Loss_G: -0.012936 Loss_D_real: -0.002547 Loss_D_fake 0.018811
[904/5000][90/535][93126] Loss_D: -0.022885 Loss_G: 0.002834 Loss_D_real: -0.018378 Loss_D_fake 0.004506
[904/5000][95/535][93127] Loss_D: -0.023401 Loss_G: -0.003112 Loss_D_real: -0.013292 Loss_D_fake 0.010108
[904/5000][100/535][93128] Loss_D: -0.022809 Loss_G: 0.011881 Loss_D_real: -0.018588 Loss_D_fake 0.004221
[904/5000][105/535][93129] Loss_D: -0.021683 Loss_G: -0.002728 Loss_D_real: -0.021153 Loss_D_fake 0.000529
[904/5000][110/535][93130] Loss_D: -0.021877 Loss_G: 0.030758 Loss_D_real: -0.033323 Loss_D_fake -0.011446
[904/5000][115/535][93131] Loss_D: -0.021346 Loss_G: 0.024144 Loss_D_real: -0.023437 Loss_D_fake -0.002091
[904/5000][120/535][93132] Loss_D: -0.021365 Loss_G: -0.008640 Loss_D_real: -0.006095 Loss_D_fake 0.015270
[904/5000][125/535][93133] Loss_D: -0.021123 Loss_G: 0.015738 Loss_D_real: -0.020912 Loss_D_fake 0.000211
[904/5000][130/535][93134] Loss_D: -0.022448 Loss_G: 0.002978 Loss_D_real: -0.021058 Loss_D_fake 0.001389
[904/5000][135/535][93135] Loss_D: -0.022695 Loss_G: 0.013762 Loss_D_real: -0.020785 Loss_D_fake 0.001910
[904/5000][140/535][93136] Loss_D: -0.022621 Loss_G: 0.004112 Loss_D_real: -0.019622 Loss_D_fake 0.002999
[904/5000][145/535][93137] Loss_D: -0.022200 Loss_G: 0.016775 Loss_D_real: -0.032619 Loss_D_fake -0.010418
[904/5000][150/535][93138] Loss_D: -0.022446 Loss_G: 0.007834 Loss_D_real: -0.014812 Loss_D_fake 0.007633
[904/5000][155/535][93139] Loss_D: -0.022455 Loss_G: 0.018344 Loss_D_real: -0.021794 Loss_D_fake 0.000661
[904/5000][160/535][93140] Loss_D: -0.021881 Loss_G: 0.019205 Loss_D_real: -0.016895 Loss_D_fake 0.004986
[904/5000][165/535][93141] Loss_D: -0.022433 Loss_G: 0.003403 Loss_D_real: -0.025098 Loss_D_fake -0.002664
[904/5000][170/535][93142] Loss_D: -0.021607 Loss_G: 0.012209 Loss_D_real: -0.013913 Loss_D_fake 0.007694
[904/5000][175/535][93143] Loss_D: -0.022506 Loss_G: 0.007958 Loss_D_real: -0.020085 Loss_D_fake 0.002421
[904/5000][180/535][93144] Loss_D: -0.021625 Loss_G: 0.007803 Loss_D_real: -0.010954 Loss_D_fake 0.010671
[904/5000][185/535][93145] Loss_D: -0.022962 Loss_G: 0.000785 Loss_D_real: -0.004961 Loss_D_fake 0.018000
[904/5000][190/535][93146] Loss_D: -0.021919 Loss_G: 0.014180 Loss_D_real: -0.021679 Loss_D_fake 0.000240
[904/5000][195/535][93147] Loss_D: -0.022774 Loss_G: 0.021704 Loss_D_real: -0.021543 Loss_D_fake 0.001230
[904/5000][200/535][93148] Loss_D: -0.020709 Loss_G: 0.005800 Loss_D_real: -0.027990 Loss_D_fake -0.007281
[904/5000][205/535][93149] Loss_D: -0.023055 Loss_G: -0.021800 Loss_D_real: -0.005465 Loss_D_fake 0.017590
[904/5000][210/535][93150] Loss_D: -0.022465 Loss_G: 0.016943 Loss_D_real: -0.028695 Loss_D_fake -0.006229
[904/5000][215/535][93151] Loss_D: -0.021666 Loss_G: -0.009872 Loss_D_real: -0.005830 Loss_D_fake 0.015836
[904/5000][220/535][93152] Loss_D: -0.020422 Loss_G: 0.026235 Loss_D_real: -0.035988 Loss_D_fake -0.015565
[904/5000][225/535][93153] Loss_D: -0.022349 Loss_G: 0.003524 Loss_D_real: -0.009384 Loss_D_fake 0.012965
[904/5000][230/535][93154] Loss_D: -0.022259 Loss_G: 0.008833 Loss_D_real: -0.027162 Loss_D_fake -0.004903
[904/5000][235/535][93155] Loss_D: -0.023030 Loss_G: 0.026154 Loss_D_real: -0.020275 Loss_D_fake 0.002756
[904/5000][240/535][93156] Loss_D: -0.023211 Loss_G: 0.012863 Loss_D_real: -0.018960 Loss_D_fake 0.004250
[904/5000][245/535][93157] Loss_D: -0.021684 Loss_G: 0.006992 Loss_D_real: -0.014224 Loss_D_fake 0.007460
[904/5000][250/535][93158] Loss_D: -0.023252 Loss_G: 0.012911 Loss_D_real: -0.016988 Loss_D_fake 0.006264
[904/5000][255/535][93159] Loss_D: -0.022633 Loss_G: 0.000063 Loss_D_real: -0.009329 Loss_D_fake 0.013303
[904/5000][260/535][93160] Loss_D: -0.023438 Loss_G: -0.002741 Loss_D_real: -0.018561 Loss_D_fake 0.004877
[904/5000][265/535][93161] Loss_D: -0.022146 Loss_G: 0.002178 Loss_D_real: -0.018136 Loss_D_fake 0.004010
[904/5000][270/535][93162] Loss_D: -0.024948 Loss_G: 0.001220 Loss_D_real: -0.021243 Loss_D_fake 0.003705
[904/5000][275/535][93163] Loss_D: -0.022785 Loss_G: 0.002616 Loss_D_real: -0.017644 Loss_D_fake 0.005141
[904/5000][280/535][93164] Loss_D: -0.022072 Loss_G: -0.025019 Loss_D_real: -0.004629 Loss_D_fake 0.017443
[904/5000][285/535][93165] Loss_D: -0.021409 Loss_G: 0.022812 Loss_D_real: -0.026260 Loss_D_fake -0.004851
[904/5000][290/535][93166] Loss_D: -0.022570 Loss_G: 0.005014 Loss_D_real: -0.008874 Loss_D_fake 0.013695
[904/5000][295/535][93167] Loss_D: -0.021480 Loss_G: 0.023375 Loss_D_real: -0.028362 Loss_D_fake -0.006883
[904/5000][300/535][93168] Loss_D: -0.022232 Loss_G: 0.014546 Loss_D_real: -0.018631 Loss_D_fake 0.003601
[904/5000][305/535][93169] Loss_D: -0.022078 Loss_G: 0.012971 Loss_D_real: -0.008149 Loss_D_fake 0.013929
[904/5000][310/535][93170] Loss_D: -0.023328 Loss_G: 0.001768 Loss_D_real: -0.029694 Loss_D_fake -0.006365
[904/5000][315/535][93171] Loss_D: -0.023679 Loss_G: 0.013121 Loss_D_real: -0.021191 Loss_D_fake 0.002488
[904/5000][320/535][93172] Loss_D: -0.024164 Loss_G: 0.007276 Loss_D_real: -0.017142 Loss_D_fake 0.007022
[904/5000][325/535][93173] Loss_D: -0.023999 Loss_G: -0.002884 Loss_D_real: -0.011823 Loss_D_fake 0.012176
[904/5000][330/535][93174] Loss_D: -0.023373 Loss_G: 0.004612 Loss_D_real: -0.008297 Loss_D_fake 0.015076
[904/5000][335/535][93175] Loss_D: -0.022833 Loss_G: 0.024259 Loss_D_real: -0.029242 Loss_D_fake -0.006408
[904/5000][340/535][93176] Loss_D: -0.022750 Loss_G: 0.006330 Loss_D_real: -0.014152 Loss_D_fake 0.008598
[904/5000][345/535][93177] Loss_D: -0.023878 Loss_G: 0.020219 Loss_D_real: -0.026214 Loss_D_fake -0.002336
[904/5000][350/535][93178] Loss_D: -0.023311 Loss_G: -0.002076 Loss_D_real: -0.007088 Loss_D_fake 0.016224
[904/5000][355/535][93179] Loss_D: -0.023682 Loss_G: 0.015852 Loss_D_real: -0.019790 Loss_D_fake 0.003892
[904/5000][360/535][93180] Loss_D: -0.022996 Loss_G: 0.012187 Loss_D_real: -0.013689 Loss_D_fake 0.009307
[904/5000][365/535][93181] Loss_D: -0.021198 Loss_G: 0.011747 Loss_D_real: -0.022942 Loss_D_fake -0.001744
[904/5000][370/535][93182] Loss_D: -0.022005 Loss_G: 0.023849 Loss_D_real: -0.027758 Loss_D_fake -0.005753
[904/5000][375/535][93183] Loss_D: -0.022370 Loss_G: -0.004003 Loss_D_real: -0.010491 Loss_D_fake 0.011879
[904/5000][380/535][93184] Loss_D: -0.021888 Loss_G: 0.010261 Loss_D_real: -0.023517 Loss_D_fake -0.001629
[904/5000][385/535][93185] Loss_D: -0.021912 Loss_G: 0.008013 Loss_D_real: -0.020624 Loss_D_fake 0.001288
[904/5000][390/535][93186] Loss_D: -0.022446 Loss_G: 0.020826 Loss_D_real: -0.016038 Loss_D_fake 0.006409
[904/5000][395/535][93187] Loss_D: -0.023190 Loss_G: 0.017730 Loss_D_real: -0.031942 Loss_D_fake -0.008752
[904/5000][400/535][93188] Loss_D: -0.022298 Loss_G: 0.017603 Loss_D_real: -0.015060 Loss_D_fake 0.007238
[904/5000][405/535][93189] Loss_D: -0.023739 Loss_G: 0.010122 Loss_D_real: -0.025738 Loss_D_fake -0.002000
[904/5000][410/535][93190] Loss_D: -0.022912 Loss_G: 0.017148 Loss_D_real: -0.028472 Loss_D_fake -0.005560
[904/5000][415/535][93191] Loss_D: -0.023500 Loss_G: -0.008335 Loss_D_real: -0.016873 Loss_D_fake 0.006627
[904/5000][420/535][93192] Loss_D: -0.022325 Loss_G: 0.017207 Loss_D_real: -0.019274 Loss_D_fake 0.003051
[904/5000][425/535][93193] Loss_D: -0.023311 Loss_G: 0.011793 Loss_D_real: -0.019131 Loss_D_fake 0.004180
[904/5000][430/535][93194] Loss_D: -0.022859 Loss_G: 0.012355 Loss_D_real: -0.012665 Loss_D_fake 0.010194
[904/5000][435/535][93195] Loss_D: -0.020976 Loss_G: 0.016571 Loss_D_real: -0.017909 Loss_D_fake 0.003067
[904/5000][440/535][93196] Loss_D: -0.023052 Loss_G: 0.002348 Loss_D_real: -0.023543 Loss_D_fake -0.000492
[904/5000][445/535][93197] Loss_D: -0.022289 Loss_G: 0.018739 Loss_D_real: -0.024190 Loss_D_fake -0.001901
[904/5000][450/535][93198] Loss_D: -0.019881 Loss_G: -0.015824 Loss_D_real: -0.002399 Loss_D_fake 0.017481
[904/5000][455/535][93199] Loss_D: -0.021359 Loss_G: 0.027768 Loss_D_real: -0.028102 Loss_D_fake -0.006743
[904/5000][460/535][93200] Loss_D: -0.022144 Loss_G: 0.007860 Loss_D_real: -0.014161 Loss_D_fake 0.007983
[904/5000][465/535][93201] Loss_D: -0.022219 Loss_G: 0.014747 Loss_D_real: -0.025691 Loss_D_fake -0.003473
[904/5000][470/535][93202] Loss_D: -0.023442 Loss_G: 0.022774 Loss_D_real: -0.024458 Loss_D_fake -0.001016
[904/5000][475/535][93203] Loss_D: -0.021272 Loss_G: -0.007921 Loss_D_real: -0.001982 Loss_D_fake 0.019289
[904/5000][480/535][93204] Loss_D: -0.022477 Loss_G: 0.002043 Loss_D_real: -0.017285 Loss_D_fake 0.005192
[904/5000][485/535][93205] Loss_D: -0.023120 Loss_G: 0.002472 Loss_D_real: -0.009703 Loss_D_fake 0.013417
[904/5000][490/535][93206] Loss_D: -0.021181 Loss_G: 0.031563 Loss_D_real: -0.037813 Loss_D_fake -0.016632
[904/5000][495/535][93207] Loss_D: -0.023063 Loss_G: -0.009246 Loss_D_real: -0.017053 Loss_D_fake 0.006010
[904/5000][500/535][93208] Loss_D: -0.021367 Loss_G: 0.033195 Loss_D_real: -0.030409 Loss_D_fake -0.009042
[904/5000][505/535][93209] Loss_D: -0.021156 Loss_G: 0.020327 Loss_D_real: -0.034055 Loss_D_fake -0.012899
[904/5000][510/535][93210] Loss_D: -0.022498 Loss_G: 0.010484 Loss_D_real: -0.018215 Loss_D_fake 0.004283
[904/5000][515/535][93211] Loss_D: -0.021981 Loss_G: -0.001815 Loss_D_real: -0.021367 Loss_D_fake 0.000614
[904/5000][520/535][93212] Loss_D: -0.022880 Loss_G: 0.017551 Loss_D_real: -0.018909 Loss_D_fake 0.003970
[904/5000][525/535][93213] Loss_D: -0.022901 Loss_G: -0.007694 Loss_D_real: -0.019569 Loss_D_fake 0.003332
[904/5000][530/535][93214] Loss_D: -0.022176 Loss_G: 0.012373 Loss_D_real: -0.016161 Loss_D_fake 0.006015
[904/5000][535/535][93215] Loss_D: -0.022606 Loss_G: 0.011012 Loss_D_real: -0.013694 Loss_D_fake 0.008912
[905/5000][5/535][93216] Loss_D: -0.023123 Loss_G: -0.002033 Loss_D_real: -0.013871 Loss_D_fake 0.009252
[905/5000][10/535][93217] Loss_D: -0.021096 Loss_G: 0.020865 Loss_D_real: -0.030527 Loss_D_fake -0.009431
[905/5000][15/535][93218] Loss_D: -0.022400 Loss_G: 0.016971 Loss_D_real: -0.026308 Loss_D_fake -0.003908
[905/5000][20/535][93219] Loss_D: -0.021823 Loss_G: -0.011549 Loss_D_real: -0.002819 Loss_D_fake 0.019004
[905/5000][25/535][93220] Loss_D: -0.022634 Loss_G: 0.005653 Loss_D_real: -0.025588 Loss_D_fake -0.002953
[905/5000][30/535][93221] Loss_D: -0.022956 Loss_G: 0.006735 Loss_D_real: -0.021200 Loss_D_fake 0.001756
[905/5000][35/535][93222] Loss_D: -0.022223 Loss_G: 0.003704 Loss_D_real: -0.008884 Loss_D_fake 0.013339
[905/5000][40/535][93223] Loss_D: -0.022435 Loss_G: 0.011701 Loss_D_real: -0.021543 Loss_D_fake 0.000892
[905/5000][45/535][93224] Loss_D: -0.022559 Loss_G: 0.003159 Loss_D_real: -0.019215 Loss_D_fake 0.003344
[905/5000][50/535][93225] Loss_D: -0.022549 Loss_G: 0.000277 Loss_D_real: 0.002923 Loss_D_fake 0.025472
[905/5000][55/535][93226] Loss_D: -0.021483 Loss_G: 0.020394 Loss_D_real: -0.029975 Loss_D_fake -0.008492
[905/5000][60/535][93227] Loss_D: -0.023601 Loss_G: 0.006542 Loss_D_real: -0.014123 Loss_D_fake 0.009478
[905/5000][65/535][93228] Loss_D: -0.022986 Loss_G: 0.014431 Loss_D_real: -0.019534 Loss_D_fake 0.003452
[905/5000][70/535][93229] Loss_D: -0.020774 Loss_G: -0.015170 Loss_D_real: -0.002492 Loss_D_fake 0.018282
[905/5000][75/535][93230] Loss_D: -0.021020 Loss_G: 0.020187 Loss_D_real: -0.036769 Loss_D_fake -0.015749
[905/5000][80/535][93231] Loss_D: -0.022429 Loss_G: 0.007121 Loss_D_real: -0.009511 Loss_D_fake 0.012918
[905/5000][85/535][93232] Loss_D: -0.022771 Loss_G: -0.002407 Loss_D_real: -0.025887 Loss_D_fake -0.003116
[905/5000][90/535][93233] Loss_D: -0.024695 Loss_G: 0.018118 Loss_D_real: -0.017765 Loss_D_fake 0.006930
[905/5000][95/535][93234] Loss_D: -0.023408 Loss_G: 0.013451 Loss_D_real: -0.017238 Loss_D_fake 0.006171
[905/5000][100/535][93235] Loss_D: -0.022441 Loss_G: -0.002907 Loss_D_real: -0.009818 Loss_D_fake 0.012623
[905/5000][105/535][93236] Loss_D: -0.022066 Loss_G: -0.003581 Loss_D_real: -0.007010 Loss_D_fake 0.015055
[905/5000][110/535][93237] Loss_D: -0.021618 Loss_G: 0.000572 Loss_D_real: -0.014002 Loss_D_fake 0.007616
[905/5000][115/535][93238] Loss_D: -0.021751 Loss_G: 0.007143 Loss_D_real: -0.021631 Loss_D_fake 0.000120
[905/5000][120/535][93239] Loss_D: -0.022019 Loss_G: 0.014687 Loss_D_real: -0.018787 Loss_D_fake 0.003232
[905/5000][125/535][93240] Loss_D: -0.021278 Loss_G: 0.020355 Loss_D_real: -0.034688 Loss_D_fake -0.013409
[905/5000][130/535][93241] Loss_D: -0.021995 Loss_G: -0.006245 Loss_D_real: -0.013163 Loss_D_fake 0.008832
[905/5000][135/535][93242] Loss_D: -0.022478 Loss_G: -0.005984 Loss_D_real: -0.006227 Loss_D_fake 0.016251
[905/5000][140/535][93243] Loss_D: -0.023302 Loss_G: 0.009396 Loss_D_real: -0.029359 Loss_D_fake -0.006057
[905/5000][145/535][93244] Loss_D: -0.022741 Loss_G: -0.006775 Loss_D_real: -0.006031 Loss_D_fake 0.016710
[905/5000][150/535][93245] Loss_D: -0.022828 Loss_G: 0.006172 Loss_D_real: -0.024841 Loss_D_fake -0.002014
[905/5000][155/535][93246] Loss_D: -0.023345 Loss_G: 0.029077 Loss_D_real: -0.029273 Loss_D_fake -0.005928
[905/5000][160/535][93247] Loss_D: -0.023466 Loss_G: -0.006155 Loss_D_real: -0.013111 Loss_D_fake 0.010355
[905/5000][165/535][93248] Loss_D: -0.022558 Loss_G: 0.011887 Loss_D_real: -0.018718 Loss_D_fake 0.003840
[905/5000][170/535][93249] Loss_D: -0.023002 Loss_G: 0.002334 Loss_D_real: -0.024364 Loss_D_fake -0.001361
[905/5000][175/535][93250] Loss_D: -0.024472 Loss_G: 0.015867 Loss_D_real: -0.016239 Loss_D_fake 0.008233
[905/5000][180/535][93251] Loss_D: -0.023136 Loss_G: -0.000552 Loss_D_real: -0.017937 Loss_D_fake 0.005198
[905/5000][185/535][93252] Loss_D: -0.022185 Loss_G: 0.012009 Loss_D_real: -0.021361 Loss_D_fake 0.000824
[905/5000][190/535][93253] Loss_D: -0.022597 Loss_G: 0.011618 Loss_D_real: -0.021303 Loss_D_fake 0.001293
[905/5000][195/535][93254] Loss_D: -0.023112 Loss_G: 0.010641 Loss_D_real: -0.020373 Loss_D_fake 0.002740
[905/5000][200/535][93255] Loss_D: -0.022887 Loss_G: 0.002139 Loss_D_real: -0.027653 Loss_D_fake -0.004767
[905/5000][205/535][93256] Loss_D: -0.023262 Loss_G: 0.025108 Loss_D_real: -0.036670 Loss_D_fake -0.013408
[905/5000][210/535][93257] Loss_D: -0.023773 Loss_G: 0.000955 Loss_D_real: -0.013913 Loss_D_fake 0.009861
[905/5000][215/535][93258] Loss_D: -0.022771 Loss_G: -0.019154 Loss_D_real: -0.003916 Loss_D_fake 0.018856
[905/5000][220/535][93259] Loss_D: -0.021849 Loss_G: 0.021427 Loss_D_real: -0.012714 Loss_D_fake 0.009135
[905/5000][225/535][93260] Loss_D: -0.022417 Loss_G: 0.011791 Loss_D_real: -0.019229 Loss_D_fake 0.003188
[905/5000][230/535][93261] Loss_D: -0.022719 Loss_G: 0.002373 Loss_D_real: -0.023077 Loss_D_fake -0.000358
[905/5000][235/535][93262] Loss_D: -0.021393 Loss_G: 0.024660 Loss_D_real: -0.030604 Loss_D_fake -0.009211
[905/5000][240/535][93263] Loss_D: -0.021451 Loss_G: 0.010666 Loss_D_real: -0.002537 Loss_D_fake 0.018914
[905/5000][245/535][93264] Loss_D: -0.023473 Loss_G: 0.015377 Loss_D_real: -0.014882 Loss_D_fake 0.008591
[905/5000][250/535][93265] Loss_D: -0.022827 Loss_G: 0.010914 Loss_D_real: -0.024202 Loss_D_fake -0.001375
[905/5000][255/535][93266] Loss_D: -0.021943 Loss_G: 0.016633 Loss_D_real: -0.028164 Loss_D_fake -0.006221
[905/5000][260/535][93267] Loss_D: -0.022611 Loss_G: -0.007838 Loss_D_real: -0.013329 Loss_D_fake 0.009281
[905/5000][265/535][93268] Loss_D: -0.021014 Loss_G: 0.025666 Loss_D_real: -0.028449 Loss_D_fake -0.007435
[905/5000][270/535][93269] Loss_D: -0.022808 Loss_G: 0.014990 Loss_D_real: -0.022190 Loss_D_fake 0.000617
[905/5000][275/535][93270] Loss_D: -0.022249 Loss_G: 0.028082 Loss_D_real: -0.032488 Loss_D_fake -0.010239
[905/5000][280/535][93271] Loss_D: -0.023587 Loss_G: 0.012763 Loss_D_real: -0.023298 Loss_D_fake 0.000288
[905/5000][285/535][93272] Loss_D: -0.023001 Loss_G: 0.000062 Loss_D_real: -0.013467 Loss_D_fake 0.009534
[905/5000][290/535][93273] Loss_D: -0.022676 Loss_G: -0.011167 Loss_D_real: -0.007918 Loss_D_fake 0.014758
[905/5000][295/535][93274] Loss_D: -0.022748 Loss_G: 0.017886 Loss_D_real: -0.016434 Loss_D_fake 0.006314
[905/5000][300/535][93275] Loss_D: -0.023660 Loss_G: 0.000976 Loss_D_real: -0.007352 Loss_D_fake 0.016308
[905/5000][305/535][93276] Loss_D: -0.022566 Loss_G: 0.012014 Loss_D_real: -0.022919 Loss_D_fake -0.000354
[905/5000][310/535][93277] Loss_D: -0.021494 Loss_G: -0.006484 Loss_D_real: -0.002395 Loss_D_fake 0.019099
[905/5000][315/535][93278] Loss_D: -0.023071 Loss_G: -0.015518 Loss_D_real: -0.011698 Loss_D_fake 0.011373
[905/5000][320/535][93279] Loss_D: -0.021821 Loss_G: 0.022181 Loss_D_real: -0.025377 Loss_D_fake -0.003556
[905/5000][325/535][93280] Loss_D: -0.023220 Loss_G: -0.005800 Loss_D_real: -0.011680 Loss_D_fake 0.011540
[905/5000][330/535][93281] Loss_D: -0.021392 Loss_G: 0.006178 Loss_D_real: -0.018358 Loss_D_fake 0.003034
[905/5000][335/535][93282] Loss_D: -0.022065 Loss_G: -0.007725 Loss_D_real: 0.008609 Loss_D_fake 0.030674
[905/5000][340/535][93283] Loss_D: -0.023133 Loss_G: 0.014644 Loss_D_real: -0.017589 Loss_D_fake 0.005544
[905/5000][345/535][93284] Loss_D: -0.022845 Loss_G: 0.012584 Loss_D_real: -0.024918 Loss_D_fake -0.002072
[905/5000][350/535][93285] Loss_D: -0.023184 Loss_G: -0.004144 Loss_D_real: -0.010178 Loss_D_fake 0.013006
[905/5000][355/535][93286] Loss_D: -0.022889 Loss_G: 0.021374 Loss_D_real: -0.020690 Loss_D_fake 0.002200
[905/5000][360/535][93287] Loss_D: -0.024492 Loss_G: 0.018927 Loss_D_real: -0.029037 Loss_D_fake -0.004545
[905/5000][365/535][93288] Loss_D: -0.022961 Loss_G: 0.027702 Loss_D_real: -0.031007 Loss_D_fake -0.008046
[905/5000][370/535][93289] Loss_D: -0.021249 Loss_G: 0.010661 Loss_D_real: -0.019785 Loss_D_fake 0.001464
[905/5000][375/535][93290] Loss_D: -0.022527 Loss_G: 0.013524 Loss_D_real: -0.029804 Loss_D_fake -0.007277
[905/5000][380/535][93291] Loss_D: -0.022690 Loss_G: 0.018326 Loss_D_real: -0.039338 Loss_D_fake -0.016648
[905/5000][385/535][93292] Loss_D: -0.022551 Loss_G: -0.012189 Loss_D_real: -0.008631 Loss_D_fake 0.013920
[905/5000][390/535][93293] Loss_D: -0.023127 Loss_G: 0.020336 Loss_D_real: -0.030265 Loss_D_fake -0.007138
[905/5000][395/535][93294] Loss_D: -0.023249 Loss_G: 0.005159 Loss_D_real: -0.022413 Loss_D_fake 0.000836
[905/5000][400/535][93295] Loss_D: -0.022612 Loss_G: 0.004153 Loss_D_real: -0.022077 Loss_D_fake 0.000535
[905/5000][405/535][93296] Loss_D: -0.023189 Loss_G: -0.008556 Loss_D_real: -0.015771 Loss_D_fake 0.007419
[905/5000][410/535][93297] Loss_D: -0.023071 Loss_G: 0.012562 Loss_D_real: -0.017182 Loss_D_fake 0.005889
[905/5000][415/535][93298] Loss_D: -0.022693 Loss_G: 0.006027 Loss_D_real: -0.016014 Loss_D_fake 0.006679
[905/5000][420/535][93299] Loss_D: -0.022526 Loss_G: 0.019506 Loss_D_real: -0.018699 Loss_D_fake 0.003827
[905/5000][425/535][93300] Loss_D: -0.021905 Loss_G: -0.006038 Loss_D_real: -0.005354 Loss_D_fake 0.016551
[905/5000][430/535][93301] Loss_D: -0.022156 Loss_G: 0.016035 Loss_D_real: -0.022723 Loss_D_fake -0.000567
[905/5000][435/535][93302] Loss_D: -0.022315 Loss_G: 0.005656 Loss_D_real: -0.011783 Loss_D_fake 0.010532
[905/5000][440/535][93303] Loss_D: -0.021362 Loss_G: 0.019553 Loss_D_real: -0.029701 Loss_D_fake -0.008339
[905/5000][445/535][93304] Loss_D: -0.022519 Loss_G: 0.004978 Loss_D_real: -0.024420 Loss_D_fake -0.001900
[905/5000][450/535][93305] Loss_D: -0.021215 Loss_G: 0.006780 Loss_D_real: -0.025376 Loss_D_fake -0.004161
[905/5000][455/535][93306] Loss_D: -0.021770 Loss_G: -0.007543 Loss_D_real: -0.009483 Loss_D_fake 0.012287
[905/5000][460/535][93307] Loss_D: -0.021659 Loss_G: -0.010266 Loss_D_real: -0.007642 Loss_D_fake 0.014018
[905/5000][465/535][93308] Loss_D: -0.022008 Loss_G: 0.010631 Loss_D_real: -0.029174 Loss_D_fake -0.007167
[905/5000][470/535][93309] Loss_D: -0.022292 Loss_G: -0.015106 Loss_D_real: -0.007555 Loss_D_fake 0.014737
[905/5000][475/535][93310] Loss_D: -0.021561 Loss_G: 0.011642 Loss_D_real: -0.021672 Loss_D_fake -0.000111
[905/5000][480/535][93311] Loss_D: -0.022055 Loss_G: 0.016464 Loss_D_real: -0.018591 Loss_D_fake 0.003464
[905/5000][485/535][93312] Loss_D: -0.022116 Loss_G: 0.003129 Loss_D_real: -0.022872 Loss_D_fake -0.000756
[905/5000][490/535][93313] Loss_D: -0.023687 Loss_G: 0.021855 Loss_D_real: -0.018684 Loss_D_fake 0.005003
[905/5000][495/535][93314] Loss_D: -0.022407 Loss_G: 0.024640 Loss_D_real: -0.021013 Loss_D_fake 0.001395
[905/5000][500/535][93315] Loss_D: -0.023235 Loss_G: 0.020822 Loss_D_real: -0.022882 Loss_D_fake 0.000354
[905/5000][505/535][93316] Loss_D: -0.021267 Loss_G: 0.012361 Loss_D_real: -0.019903 Loss_D_fake 0.001365
[905/5000][510/535][93317] Loss_D: -0.023072 Loss_G: -0.011749 Loss_D_real: -0.005902 Loss_D_fake 0.017170
[905/5000][515/535][93318] Loss_D: -0.022886 Loss_G: -0.002510 Loss_D_real: -0.010931 Loss_D_fake 0.011955
[905/5000][520/535][93319] Loss_D: -0.023444 Loss_G: 0.023195 Loss_D_real: -0.022869 Loss_D_fake 0.000575
[905/5000][525/535][93320] Loss_D: -0.022320 Loss_G: 0.010015 Loss_D_real: -0.029434 Loss_D_fake -0.007114
[905/5000][530/535][93321] Loss_D: -0.020663 Loss_G: 0.028874 Loss_D_real: -0.040186 Loss_D_fake -0.019523
[905/5000][535/535][93322] Loss_D: -0.020694 Loss_G: 0.010788 Loss_D_real: -0.009449 Loss_D_fake 0.011244
[906/5000][5/535][93323] Loss_D: -0.021528 Loss_G: -0.007587 Loss_D_real: 0.002853 Loss_D_fake 0.024381
[906/5000][10/535][93324] Loss_D: -0.021007 Loss_G: 0.021189 Loss_D_real: -0.037749 Loss_D_fake -0.016743
[906/5000][15/535][93325] Loss_D: -0.021942 Loss_G: 0.006089 Loss_D_real: -0.023232 Loss_D_fake -0.001290
[906/5000][20/535][93326] Loss_D: -0.022384 Loss_G: 0.001672 Loss_D_real: -0.009191 Loss_D_fake 0.013193
[906/5000][25/535][93327] Loss_D: -0.023160 Loss_G: 0.004372 Loss_D_real: -0.016834 Loss_D_fake 0.006326
[906/5000][30/535][93328] Loss_D: -0.021771 Loss_G: 0.012628 Loss_D_real: -0.034120 Loss_D_fake -0.012350
[906/5000][35/535][93329] Loss_D: -0.021890 Loss_G: -0.020729 Loss_D_real: -0.010183 Loss_D_fake 0.011707
[906/5000][40/535][93330] Loss_D: -0.022824 Loss_G: 0.008279 Loss_D_real: -0.017939 Loss_D_fake 0.004885
[906/5000][45/535][93331] Loss_D: -0.023028 Loss_G: 0.008148 Loss_D_real: -0.020635 Loss_D_fake 0.002393
[906/5000][50/535][93332] Loss_D: -0.021657 Loss_G: 0.022271 Loss_D_real: -0.022969 Loss_D_fake -0.001312
[906/5000][55/535][93333] Loss_D: -0.021572 Loss_G: 0.017058 Loss_D_real: -0.025376 Loss_D_fake -0.003804
[906/5000][60/535][93334] Loss_D: -0.022178 Loss_G: 0.004034 Loss_D_real: -0.011651 Loss_D_fake 0.010527
[906/5000][65/535][93335] Loss_D: -0.022180 Loss_G: -0.002627 Loss_D_real: -0.010697 Loss_D_fake 0.011482
[906/5000][70/535][93336] Loss_D: -0.020792 Loss_G: 0.019745 Loss_D_real: -0.028646 Loss_D_fake -0.007854
[906/5000][75/535][93337] Loss_D: -0.025333 Loss_G: 0.009755 Loss_D_real: -0.013377 Loss_D_fake 0.011956
[906/5000][80/535][93338] Loss_D: -0.022211 Loss_G: 0.002074 Loss_D_real: -0.024996 Loss_D_fake -0.002785
[906/5000][85/535][93339] Loss_D: -0.022975 Loss_G: 0.008753 Loss_D_real: -0.025484 Loss_D_fake -0.002509
[906/5000][90/535][93340] Loss_D: -0.021939 Loss_G: 0.018114 Loss_D_real: -0.019957 Loss_D_fake 0.001982
[906/5000][95/535][93341] Loss_D: -0.023650 Loss_G: 0.011024 Loss_D_real: -0.015930 Loss_D_fake 0.007719
[906/5000][100/535][93342] Loss_D: -0.022242 Loss_G: 0.014134 Loss_D_real: -0.013218 Loss_D_fake 0.009025
[906/5000][105/535][93343] Loss_D: -0.021902 Loss_G: 0.000645 Loss_D_real: -0.014862 Loss_D_fake 0.007040
[906/5000][110/535][93344] Loss_D: -0.021735 Loss_G: 0.004652 Loss_D_real: -0.019275 Loss_D_fake 0.002461
[906/5000][115/535][93345] Loss_D: -0.021787 Loss_G: 0.020018 Loss_D_real: -0.020664 Loss_D_fake 0.001123
[906/5000][120/535][93346] Loss_D: -0.023374 Loss_G: 0.024413 Loss_D_real: -0.018326 Loss_D_fake 0.005048
[906/5000][125/535][93347] Loss_D: -0.021672 Loss_G: 0.015788 Loss_D_real: -0.032543 Loss_D_fake -0.010870
[906/5000][130/535][93348] Loss_D: -0.021956 Loss_G: -0.009209 Loss_D_real: -0.027466 Loss_D_fake -0.005509
[906/5000][135/535][93349] Loss_D: -0.022113 Loss_G: 0.018221 Loss_D_real: -0.027401 Loss_D_fake -0.005288
[906/5000][140/535][93350] Loss_D: -0.022403 Loss_G: 0.027874 Loss_D_real: -0.024034 Loss_D_fake -0.001631
[906/5000][145/535][93351] Loss_D: -0.022491 Loss_G: 0.006764 Loss_D_real: -0.023054 Loss_D_fake -0.000563
[906/5000][150/535][93352] Loss_D: -0.023366 Loss_G: 0.007706 Loss_D_real: -0.025120 Loss_D_fake -0.001754
[906/5000][155/535][93353] Loss_D: -0.021735 Loss_G: 0.025670 Loss_D_real: -0.036979 Loss_D_fake -0.015244
[906/5000][160/535][93354] Loss_D: -0.021086 Loss_G: 0.000928 Loss_D_real: -0.019613 Loss_D_fake 0.001474
[906/5000][165/535][93355] Loss_D: -0.023008 Loss_G: 0.013207 Loss_D_real: -0.013024 Loss_D_fake 0.009984
[906/5000][170/535][93356] Loss_D: -0.022240 Loss_G: 0.002280 Loss_D_real: -0.022691 Loss_D_fake -0.000450
[906/5000][175/535][93357] Loss_D: -0.024013 Loss_G: 0.009481 Loss_D_real: -0.015610 Loss_D_fake 0.008403
[906/5000][180/535][93358] Loss_D: -0.022662 Loss_G: 0.008539 Loss_D_real: -0.017685 Loss_D_fake 0.004977
[906/5000][185/535][93359] Loss_D: -0.022789 Loss_G: -0.005102 Loss_D_real: -0.019386 Loss_D_fake 0.003403
[906/5000][190/535][93360] Loss_D: -0.022441 Loss_G: 0.008030 Loss_D_real: -0.012089 Loss_D_fake 0.010352
[906/5000][195/535][93361] Loss_D: -0.021779 Loss_G: 0.018483 Loss_D_real: -0.023035 Loss_D_fake -0.001256
[906/5000][200/535][93362] Loss_D: -0.022367 Loss_G: 0.014002 Loss_D_real: -0.018683 Loss_D_fake 0.003684
[906/5000][205/535][93363] Loss_D: -0.022651 Loss_G: -0.006067 Loss_D_real: -0.009561 Loss_D_fake 0.013090
[906/5000][210/535][93364] Loss_D: -0.023427 Loss_G: 0.022627 Loss_D_real: -0.027615 Loss_D_fake -0.004188
[906/5000][215/535][93365] Loss_D: -0.022078 Loss_G: 0.019858 Loss_D_real: -0.038003 Loss_D_fake -0.015926
[906/5000][220/535][93366] Loss_D: -0.021840 Loss_G: 0.020385 Loss_D_real: -0.022011 Loss_D_fake -0.000171
[906/5000][225/535][93367] Loss_D: -0.022345 Loss_G: -0.014767 Loss_D_real: -0.011135 Loss_D_fake 0.011210
[906/5000][230/535][93368] Loss_D: -0.022481 Loss_G: -0.013170 Loss_D_real: -0.005600 Loss_D_fake 0.016882
[906/5000][235/535][93369] Loss_D: -0.022909 Loss_G: 0.020047 Loss_D_real: -0.022189 Loss_D_fake 0.000720
[906/5000][240/535][93370] Loss_D: -0.022228 Loss_G: 0.006673 Loss_D_real: -0.010250 Loss_D_fake 0.011978
[906/5000][245/535][93371] Loss_D: -0.022079 Loss_G: 0.024679 Loss_D_real: -0.038939 Loss_D_fake -0.016860
[906/5000][250/535][93372] Loss_D: -0.022992 Loss_G: -0.012776 Loss_D_real: -0.013613 Loss_D_fake 0.009379
[906/5000][255/535][93373] Loss_D: -0.021211 Loss_G: 0.004390 Loss_D_real: -0.013803 Loss_D_fake 0.007408
[906/5000][260/535][93374] Loss_D: -0.021594 Loss_G: 0.016958 Loss_D_real: -0.027943 Loss_D_fake -0.006349
[906/5000][265/535][93375] Loss_D: -0.022151 Loss_G: 0.001438 Loss_D_real: -0.003883 Loss_D_fake 0.018267
[906/5000][270/535][93376] Loss_D: -0.021569 Loss_G: 0.013897 Loss_D_real: -0.028733 Loss_D_fake -0.007164
[906/5000][275/535][93377] Loss_D: -0.024150 Loss_G: -0.013729 Loss_D_real: -0.015315 Loss_D_fake 0.008835
[906/5000][280/535][93378] Loss_D: -0.020721 Loss_G: 0.002190 Loss_D_real: -0.020547 Loss_D_fake 0.000174
[906/5000][285/535][93379] Loss_D: -0.022609 Loss_G: 0.004946 Loss_D_real: -0.006802 Loss_D_fake 0.015807
[906/5000][290/535][93380] Loss_D: -0.022325 Loss_G: 0.012527 Loss_D_real: -0.016149 Loss_D_fake 0.006175
[906/5000][295/535][93381] Loss_D: -0.022272 Loss_G: 0.009105 Loss_D_real: -0.023644 Loss_D_fake -0.001372
[906/5000][300/535][93382] Loss_D: -0.023549 Loss_G: -0.001675 Loss_D_real: -0.018197 Loss_D_fake 0.005351
[906/5000][305/535][93383] Loss_D: -0.022907 Loss_G: -0.005750 Loss_D_real: -0.012315 Loss_D_fake 0.010591
[906/5000][310/535][93384] Loss_D: -0.022311 Loss_G: 0.006979 Loss_D_real: -0.012525 Loss_D_fake 0.009787
[906/5000][315/535][93385] Loss_D: -0.021312 Loss_G: 0.023237 Loss_D_real: -0.036669 Loss_D_fake -0.015356
[906/5000][320/535][93386] Loss_D: -0.022054 Loss_G: -0.003152 Loss_D_real: -0.012336 Loss_D_fake 0.009718
[906/5000][325/535][93387] Loss_D: -0.023135 Loss_G: 0.008243 Loss_D_real: -0.030643 Loss_D_fake -0.007508
[906/5000][330/535][93388] Loss_D: -0.023723 Loss_G: -0.004793 Loss_D_real: -0.013034 Loss_D_fake 0.010689
[906/5000][335/535][93389] Loss_D: -0.021819 Loss_G: 0.007951 Loss_D_real: -0.023403 Loss_D_fake -0.001584
[906/5000][340/535][93390] Loss_D: -0.022674 Loss_G: -0.010769 Loss_D_real: 0.004091 Loss_D_fake 0.026765
[906/5000][345/535][93391] Loss_D: -0.020819 Loss_G: 0.014328 Loss_D_real: -0.029672 Loss_D_fake -0.008853
[906/5000][350/535][93392] Loss_D: -0.023120 Loss_G: 0.012277 Loss_D_real: -0.015880 Loss_D_fake 0.007241
[906/5000][355/535][93393] Loss_D: -0.023756 Loss_G: 0.028581 Loss_D_real: -0.027758 Loss_D_fake -0.004002
[906/5000][360/535][93394] Loss_D: -0.021877 Loss_G: 0.010704 Loss_D_real: -0.030384 Loss_D_fake -0.008507
[906/5000][365/535][93395] Loss_D: -0.023330 Loss_G: 0.018813 Loss_D_real: -0.028625 Loss_D_fake -0.005296
[906/5000][370/535][93396] Loss_D: -0.023488 Loss_G: 0.014537 Loss_D_real: -0.026951 Loss_D_fake -0.003463
[906/5000][375/535][93397] Loss_D: -0.024399 Loss_G: 0.000790 Loss_D_real: -0.020200 Loss_D_fake 0.004200
[906/5000][380/535][93398] Loss_D: -0.021164 Loss_G: 0.026237 Loss_D_real: -0.017753 Loss_D_fake 0.003411
[906/5000][385/535][93399] Loss_D: -0.021731 Loss_G: -0.008770 Loss_D_real: -0.002684 Loss_D_fake 0.019047
[906/5000][390/535][93400] Loss_D: -0.021278 Loss_G: 0.019030 Loss_D_real: -0.030798 Loss_D_fake -0.009521
[906/5000][395/535][93401] Loss_D: -0.020902 Loss_G: -0.007905 Loss_D_real: -0.004550 Loss_D_fake 0.016352
[906/5000][400/535][93402] Loss_D: -0.022828 Loss_G: -0.003752 Loss_D_real: -0.014698 Loss_D_fake 0.008130
[906/5000][405/535][93403] Loss_D: -0.023201 Loss_G: -0.000319 Loss_D_real: -0.013925 Loss_D_fake 0.009276
[906/5000][410/535][93404] Loss_D: -0.023407 Loss_G: 0.003621 Loss_D_real: -0.025886 Loss_D_fake -0.002480
[906/5000][415/535][93405] Loss_D: -0.022354 Loss_G: -0.001786 Loss_D_real: -0.008553 Loss_D_fake 0.013801
[906/5000][420/535][93406] Loss_D: -0.022769 Loss_G: 0.002236 Loss_D_real: -0.017697 Loss_D_fake 0.005071
[906/5000][425/535][93407] Loss_D: -0.019543 Loss_G: 0.028270 Loss_D_real: -0.042580 Loss_D_fake -0.023037
[906/5000][430/535][93408] Loss_D: -0.023767 Loss_G: 0.011696 Loss_D_real: -0.004787 Loss_D_fake 0.018980
[906/5000][435/535][93409] Loss_D: -0.022909 Loss_G: 0.010511 Loss_D_real: -0.013632 Loss_D_fake 0.009276
[906/5000][440/535][93410] Loss_D: -0.022506 Loss_G: 0.016333 Loss_D_real: -0.025618 Loss_D_fake -0.003113
[906/5000][445/535][93411] Loss_D: -0.022988 Loss_G: 0.011131 Loss_D_real: -0.019201 Loss_D_fake 0.003787
[906/5000][450/535][93412] Loss_D: -0.022097 Loss_G: -0.002399 Loss_D_real: -0.015976 Loss_D_fake 0.006122
[906/5000][455/535][93413] Loss_D: -0.023467 Loss_G: 0.007640 Loss_D_real: -0.017796 Loss_D_fake 0.005671
[906/5000][460/535][93414] Loss_D: -0.022046 Loss_G: 0.000937 Loss_D_real: -0.029478 Loss_D_fake -0.007433
[906/5000][465/535][93415] Loss_D: -0.020709 Loss_G: -0.008237 Loss_D_real: -0.012965 Loss_D_fake 0.007744
[906/5000][470/535][93416] Loss_D: -0.022763 Loss_G: 0.016577 Loss_D_real: -0.025415 Loss_D_fake -0.002652
[906/5000][475/535][93417] Loss_D: -0.021756 Loss_G: -0.004322 Loss_D_real: -0.012710 Loss_D_fake 0.009046
[906/5000][480/535][93418] Loss_D: -0.023839 Loss_G: 0.009173 Loss_D_real: -0.025632 Loss_D_fake -0.001794
[906/5000][485/535][93419] Loss_D: -0.021309 Loss_G: 0.028361 Loss_D_real: -0.040202 Loss_D_fake -0.018893
[906/5000][490/535][93420] Loss_D: -0.023316 Loss_G: -0.007588 Loss_D_real: -0.010725 Loss_D_fake 0.012590
[906/5000][495/535][93421] Loss_D: -0.022615 Loss_G: 0.021919 Loss_D_real: -0.024065 Loss_D_fake -0.001450
[906/5000][500/535][93422] Loss_D: -0.021920 Loss_G: -0.001278 Loss_D_real: -0.012150 Loss_D_fake 0.009770
[906/5000][505/535][93423] Loss_D: -0.021331 Loss_G: -0.002932 Loss_D_real: -0.016974 Loss_D_fake 0.004357
[906/5000][510/535][93424] Loss_D: -0.022173 Loss_G: 0.021200 Loss_D_real: -0.014281 Loss_D_fake 0.007892
[906/5000][515/535][93425] Loss_D: -0.022067 Loss_G: 0.023308 Loss_D_real: -0.033267 Loss_D_fake -0.011200
[906/5000][520/535][93426] Loss_D: -0.022395 Loss_G: -0.006921 Loss_D_real: -0.004458 Loss_D_fake 0.017937
[906/5000][525/535][93427] Loss_D: -0.021890 Loss_G: 0.013528 Loss_D_real: -0.031985 Loss_D_fake -0.010095
[906/5000][530/535][93428] Loss_D: -0.021382 Loss_G: 0.013308 Loss_D_real: -0.020954 Loss_D_fake 0.000428
[906/5000][535/535][93429] Loss_D: -0.020540 Loss_G: -0.017034 Loss_D_real: -0.002988 Loss_D_fake 0.017552
[907/5000][5/535][93430] Loss_D: -0.021770 Loss_G: 0.021192 Loss_D_real: -0.032248 Loss_D_fake -0.010477
[907/5000][10/535][93431] Loss_D: -0.023692 Loss_G: 0.010362 Loss_D_real: -0.019303 Loss_D_fake 0.004389
[907/5000][15/535][93432] Loss_D: -0.024204 Loss_G: 0.007603 Loss_D_real: -0.018257 Loss_D_fake 0.005947
[907/5000][20/535][93433] Loss_D: -0.023059 Loss_G: -0.005002 Loss_D_real: -0.006450 Loss_D_fake 0.016609
[907/5000][25/535][93434] Loss_D: -0.022477 Loss_G: 0.000253 Loss_D_real: -0.007994 Loss_D_fake 0.014483
[907/5000][30/535][93435] Loss_D: -0.023612 Loss_G: 0.010625 Loss_D_real: -0.017038 Loss_D_fake 0.006574
[907/5000][35/535][93436] Loss_D: -0.022755 Loss_G: 0.014456 Loss_D_real: -0.025579 Loss_D_fake -0.002824
[907/5000][40/535][93437] Loss_D: -0.022029 Loss_G: -0.001856 Loss_D_real: -0.012978 Loss_D_fake 0.009052
[907/5000][45/535][93438] Loss_D: -0.022284 Loss_G: -0.002220 Loss_D_real: -0.017876 Loss_D_fake 0.004408
[907/5000][50/535][93439] Loss_D: -0.022445 Loss_G: 0.003074 Loss_D_real: -0.013232 Loss_D_fake 0.009213
[907/5000][55/535][93440] Loss_D: -0.022923 Loss_G: 0.008570 Loss_D_real: -0.021152 Loss_D_fake 0.001771
[907/5000][60/535][93441] Loss_D: -0.021760 Loss_G: -0.002985 Loss_D_real: -0.015680 Loss_D_fake 0.006080
[907/5000][65/535][93442] Loss_D: -0.021245 Loss_G: 0.006150 Loss_D_real: -0.013141 Loss_D_fake 0.008104
[907/5000][70/535][93443] Loss_D: -0.022821 Loss_G: 0.019244 Loss_D_real: -0.023326 Loss_D_fake -0.000505
[907/5000][75/535][93444] Loss_D: -0.021051 Loss_G: 0.005817 Loss_D_real: -0.013722 Loss_D_fake 0.007328
[907/5000][80/535][93445] Loss_D: -0.022119 Loss_G: -0.008126 Loss_D_real: -0.000760 Loss_D_fake 0.021359
[907/5000][85/535][93446] Loss_D: -0.022341 Loss_G: 0.004374 Loss_D_real: -0.010331 Loss_D_fake 0.012011
[907/5000][90/535][93447] Loss_D: -0.022753 Loss_G: -0.002523 Loss_D_real: -0.015762 Loss_D_fake 0.006991
[907/5000][95/535][93448] Loss_D: -0.022460 Loss_G: 0.016256 Loss_D_real: -0.021947 Loss_D_fake 0.000514
[907/5000][100/535][93449] Loss_D: -0.021064 Loss_G: 0.029215 Loss_D_real: -0.031530 Loss_D_fake -0.010466
[907/5000][105/535][93450] Loss_D: -0.021713 Loss_G: 0.004154 Loss_D_real: -0.018048 Loss_D_fake 0.003665
[907/5000][110/535][93451] Loss_D: -0.022286 Loss_G: -0.001597 Loss_D_real: -0.009930 Loss_D_fake 0.012355
[907/5000][115/535][93452] Loss_D: -0.022189 Loss_G: 0.000381 Loss_D_real: -0.019678 Loss_D_fake 0.002511
[907/5000][120/535][93453] Loss_D: -0.021185 Loss_G: 0.013774 Loss_D_real: -0.029933 Loss_D_fake -0.008747
[907/5000][125/535][93454] Loss_D: -0.023220 Loss_G: 0.004846 Loss_D_real: -0.010241 Loss_D_fake 0.012979
[907/5000][130/535][93455] Loss_D: -0.023256 Loss_G: 0.013705 Loss_D_real: -0.020387 Loss_D_fake 0.002869
[907/5000][135/535][93456] Loss_D: -0.021796 Loss_G: -0.009332 Loss_D_real: -0.000582 Loss_D_fake 0.021214
[907/5000][140/535][93457] Loss_D: -0.022778 Loss_G: 0.016767 Loss_D_real: -0.022848 Loss_D_fake -0.000070
[907/5000][145/535][93458] Loss_D: -0.022587 Loss_G: 0.033095 Loss_D_real: -0.025330 Loss_D_fake -0.002743
[907/5000][150/535][93459] Loss_D: -0.022660 Loss_G: 0.006247 Loss_D_real: -0.018380 Loss_D_fake 0.004280
[907/5000][155/535][93460] Loss_D: -0.021668 Loss_G: 0.007480 Loss_D_real: -0.017687 Loss_D_fake 0.003980
[907/5000][160/535][93461] Loss_D: -0.020827 Loss_G: 0.020342 Loss_D_real: -0.029754 Loss_D_fake -0.008927
[907/5000][165/535][93462] Loss_D: -0.023394 Loss_G: 0.013533 Loss_D_real: -0.021725 Loss_D_fake 0.001668
[907/5000][170/535][93463] Loss_D: -0.023159 Loss_G: 0.024917 Loss_D_real: -0.026339 Loss_D_fake -0.003180
[907/5000][175/535][93464] Loss_D: -0.022277 Loss_G: 0.013853 Loss_D_real: -0.025359 Loss_D_fake -0.003083
[907/5000][180/535][93465] Loss_D: -0.021792 Loss_G: 0.026863 Loss_D_real: -0.032031 Loss_D_fake -0.010239
[907/5000][185/535][93466] Loss_D: -0.022071 Loss_G: 0.014427 Loss_D_real: -0.019602 Loss_D_fake 0.002468
[907/5000][190/535][93467] Loss_D: -0.022945 Loss_G: 0.009222 Loss_D_real: -0.035135 Loss_D_fake -0.012190
[907/5000][195/535][93468] Loss_D: -0.022004 Loss_G: -0.016147 Loss_D_real: -0.002421 Loss_D_fake 0.019583
[907/5000][200/535][93469] Loss_D: -0.022181 Loss_G: 0.015418 Loss_D_real: -0.022796 Loss_D_fake -0.000615
[907/5000][205/535][93470] Loss_D: -0.021812 Loss_G: -0.006447 Loss_D_real: -0.007203 Loss_D_fake 0.014609
[907/5000][210/535][93471] Loss_D: -0.022835 Loss_G: 0.008077 Loss_D_real: -0.033043 Loss_D_fake -0.010208
[907/5000][215/535][93472] Loss_D: -0.022357 Loss_G: 0.000757 Loss_D_real: -0.008177 Loss_D_fake 0.014180
[907/5000][220/535][93473] Loss_D: -0.021462 Loss_G: 0.018178 Loss_D_real: -0.029495 Loss_D_fake -0.008033
[907/5000][225/535][93474] Loss_D: -0.022855 Loss_G: 0.020429 Loss_D_real: -0.017329 Loss_D_fake 0.005526
[907/5000][230/535][93475] Loss_D: -0.023446 Loss_G: 0.007157 Loss_D_real: -0.015411 Loss_D_fake 0.008035
[907/5000][235/535][93476] Loss_D: -0.022232 Loss_G: 0.016379 Loss_D_real: -0.026688 Loss_D_fake -0.004456
[907/5000][240/535][93477] Loss_D: -0.022188 Loss_G: 0.018199 Loss_D_real: -0.028631 Loss_D_fake -0.006443
[907/5000][245/535][93478] Loss_D: -0.022071 Loss_G: 0.015038 Loss_D_real: -0.017810 Loss_D_fake 0.004261
[907/5000][250/535][93479] Loss_D: -0.021633 Loss_G: -0.010079 Loss_D_real: -0.005875 Loss_D_fake 0.015759
[907/5000][255/535][93480] Loss_D: -0.022584 Loss_G: 0.020579 Loss_D_real: -0.023083 Loss_D_fake -0.000499
[907/5000][260/535][93481] Loss_D: -0.022864 Loss_G: -0.000063 Loss_D_real: -0.013093 Loss_D_fake 0.009771
[907/5000][265/535][93482] Loss_D: -0.022357 Loss_G: 0.007664 Loss_D_real: -0.029351 Loss_D_fake -0.006994
[907/5000][270/535][93483] Loss_D: -0.022709 Loss_G: 0.002798 Loss_D_real: -0.022353 Loss_D_fake 0.000357
[907/5000][275/535][93484] Loss_D: -0.022820 Loss_G: 0.006026 Loss_D_real: -0.017916 Loss_D_fake 0.004904
[907/5000][280/535][93485] Loss_D: -0.023330 Loss_G: -0.000314 Loss_D_real: -0.024621 Loss_D_fake -0.001291
[907/5000][285/535][93486] Loss_D: -0.021697 Loss_G: -0.010034 Loss_D_real: -0.009818 Loss_D_fake 0.011879
[907/5000][290/535][93487] Loss_D: -0.022812 Loss_G: 0.012998 Loss_D_real: -0.017610 Loss_D_fake 0.005201
[907/5000][295/535][93488] Loss_D: -0.023003 Loss_G: 0.002871 Loss_D_real: -0.001968 Loss_D_fake 0.021034
[907/5000][300/535][93489] Loss_D: -0.020328 Loss_G: 0.017346 Loss_D_real: -0.010809 Loss_D_fake 0.009519
[907/5000][305/535][93490] Loss_D: -0.022196 Loss_G: 0.007823 Loss_D_real: -0.018241 Loss_D_fake 0.003954
[907/5000][310/535][93491] Loss_D: -0.021651 Loss_G: 0.027420 Loss_D_real: -0.027848 Loss_D_fake -0.006197
[907/5000][315/535][93492] Loss_D: -0.023041 Loss_G: 0.000264 Loss_D_real: -0.009305 Loss_D_fake 0.013735
[907/5000][320/535][93493] Loss_D: -0.021395 Loss_G: 0.025827 Loss_D_real: -0.025512 Loss_D_fake -0.004117
[907/5000][325/535][93494] Loss_D: -0.022160 Loss_G: 0.005971 Loss_D_real: -0.011861 Loss_D_fake 0.010299
[907/5000][330/535][93495] Loss_D: -0.021503 Loss_G: 0.007856 Loss_D_real: -0.019555 Loss_D_fake 0.001948
[907/5000][335/535][93496] Loss_D: -0.022177 Loss_G: 0.029753 Loss_D_real: -0.025746 Loss_D_fake -0.003569
[907/5000][340/535][93497] Loss_D: -0.021902 Loss_G: -0.006994 Loss_D_real: -0.001609 Loss_D_fake 0.020293
[907/5000][345/535][93498] Loss_D: -0.023836 Loss_G: 0.016306 Loss_D_real: -0.018194 Loss_D_fake 0.005643
[907/5000][350/535][93499] Loss_D: -0.023404 Loss_G: 0.000952 Loss_D_real: -0.009581 Loss_D_fake 0.013823
[907/5000][355/535][93500] Loss_D: -0.022675 Loss_G: 0.006156 Loss_D_real: -0.014036 Loss_D_fake 0.008639
[907/5000][455/535][93501] Loss_D: -0.026164 Loss_G: 0.015345 Loss_D_real: -0.026608 Loss_D_fake -0.000444
[907/5000][460/535][93502] Loss_D: -0.022679 Loss_G: 0.005221 Loss_D_real: -0.012223 Loss_D_fake 0.010456
[907/5000][465/535][93503] Loss_D: -0.021601 Loss_G: -0.001538 Loss_D_real: -0.015754 Loss_D_fake 0.005847
[907/5000][470/535][93504] Loss_D: -0.019037 Loss_G: 0.010954 Loss_D_real: -0.021191 Loss_D_fake -0.002154
[907/5000][475/535][93505] Loss_D: -0.019698 Loss_G: 0.011567 Loss_D_real: -0.018492 Loss_D_fake 0.001205
[907/5000][480/535][93506] Loss_D: -0.021606 Loss_G: 0.000276 Loss_D_real: -0.009609 Loss_D_fake 0.011997
[907/5000][485/535][93507] Loss_D: -0.021472 Loss_G: 0.008911 Loss_D_real: -0.011463 Loss_D_fake 0.010009
[907/5000][490/535][93508] Loss_D: -0.021792 Loss_G: 0.004333 Loss_D_real: -0.018052 Loss_D_fake 0.003740
[907/5000][495/535][93509] Loss_D: -0.022006 Loss_G: -0.000086 Loss_D_real: -0.018475 Loss_D_fake 0.003531
[907/5000][500/535][93510] Loss_D: -0.017815 Loss_G: 0.029805 Loss_D_real: -0.037864 Loss_D_fake -0.020049
[907/5000][505/535][93511] Loss_D: -0.021649 Loss_G: 0.004810 Loss_D_real: -0.023868 Loss_D_fake -0.002219
[907/5000][510/535][93512] Loss_D: -0.021453 Loss_G: 0.002056 Loss_D_real: -0.032532 Loss_D_fake -0.011078
[907/5000][515/535][93513] Loss_D: -0.021153 Loss_G: 0.018103 Loss_D_real: -0.025930 Loss_D_fake -0.004776
[907/5000][520/535][93514] Loss_D: -0.022258 Loss_G: 0.009378 Loss_D_real: -0.015733 Loss_D_fake 0.006525
[907/5000][525/535][93515] Loss_D: -0.021387 Loss_G: 0.015571 Loss_D_real: -0.023384 Loss_D_fake -0.001997
[907/5000][530/535][93516] Loss_D: -0.021226 Loss_G: 0.009448 Loss_D_real: -0.018375 Loss_D_fake 0.002851
[907/5000][535/535][93517] Loss_D: -0.020792 Loss_G: -0.018219 Loss_D_real: -0.017998 Loss_D_fake 0.002794
[908/5000][5/535][93518] Loss_D: -0.021884 Loss_G: -0.004924 Loss_D_real: -0.007063 Loss_D_fake 0.014822
[908/5000][10/535][93519] Loss_D: -0.021690 Loss_G: 0.010441 Loss_D_real: -0.018078 Loss_D_fake 0.003611
[908/5000][15/535][93520] Loss_D: -0.020816 Loss_G: 0.009264 Loss_D_real: -0.021578 Loss_D_fake -0.000762
[908/5000][20/535][93521] Loss_D: -0.020879 Loss_G: 0.018225 Loss_D_real: -0.041415 Loss_D_fake -0.020535
[908/5000][25/535][93522] Loss_D: -0.022982 Loss_G: -0.007534 Loss_D_real: -0.016915 Loss_D_fake 0.006067
[908/5000][30/535][93523] Loss_D: -0.021554 Loss_G: 0.018719 Loss_D_real: -0.026679 Loss_D_fake -0.005126
[908/5000][35/535][93524] Loss_D: -0.021328 Loss_G: 0.009713 Loss_D_real: -0.018040 Loss_D_fake 0.003288
[908/5000][40/535][93525] Loss_D: -0.022506 Loss_G: 0.023202 Loss_D_real: -0.029333 Loss_D_fake -0.006828
[908/5000][45/535][93526] Loss_D: -0.021677 Loss_G: 0.001308 Loss_D_real: -0.014734 Loss_D_fake 0.006943
[908/5000][50/535][93527] Loss_D: -0.022527 Loss_G: 0.022957 Loss_D_real: -0.029805 Loss_D_fake -0.007278
[908/5000][55/535][93528] Loss_D: -0.021598 Loss_G: -0.010598 Loss_D_real: 0.001979 Loss_D_fake 0.023577
[908/5000][60/535][93529] Loss_D: -0.022856 Loss_G: 0.011631 Loss_D_real: -0.027990 Loss_D_fake -0.005134
[908/5000][65/535][93530] Loss_D: -0.023067 Loss_G: 0.008303 Loss_D_real: -0.019592 Loss_D_fake 0.003476
[908/5000][70/535][93531] Loss_D: -0.023183 Loss_G: 0.000264 Loss_D_real: -0.005083 Loss_D_fake 0.018100
[908/5000][75/535][93532] Loss_D: -0.024441 Loss_G: 0.009540 Loss_D_real: -0.027626 Loss_D_fake -0.003185
[908/5000][80/535][93533] Loss_D: -0.022641 Loss_G: 0.012928 Loss_D_real: -0.023808 Loss_D_fake -0.001168
[908/5000][85/535][93534] Loss_D: -0.022589 Loss_G: -0.018515 Loss_D_real: -0.003974 Loss_D_fake 0.018615
[908/5000][90/535][93535] Loss_D: -0.021646 Loss_G: 0.014243 Loss_D_real: -0.023763 Loss_D_fake -0.002117
[908/5000][95/535][93536] Loss_D: -0.021079 Loss_G: -0.006848 Loss_D_real: -0.009209 Loss_D_fake 0.011870
[908/5000][100/535][93537] Loss_D: -0.023307 Loss_G: 0.018851 Loss_D_real: -0.016684 Loss_D_fake 0.006623
[908/5000][105/535][93538] Loss_D: -0.022318 Loss_G: 0.005598 Loss_D_real: -0.020211 Loss_D_fake 0.002107
[908/5000][110/535][93539] Loss_D: -0.022442 Loss_G: 0.004844 Loss_D_real: -0.020797 Loss_D_fake 0.001645
[908/5000][115/535][93540] Loss_D: -0.021638 Loss_G: 0.012694 Loss_D_real: -0.025688 Loss_D_fake -0.004050
[908/5000][120/535][93541] Loss_D: -0.021614 Loss_G: -0.008773 Loss_D_real: -0.017317 Loss_D_fake 0.004297
[908/5000][125/535][93542] Loss_D: -0.021350 Loss_G: 0.008509 Loss_D_real: -0.032402 Loss_D_fake -0.011052
[908/5000][130/535][93543] Loss_D: -0.022256 Loss_G: 0.011024 Loss_D_real: -0.021274 Loss_D_fake 0.000982
[908/5000][135/535][93544] Loss_D: -0.022407 Loss_G: 0.010616 Loss_D_real: -0.014521 Loss_D_fake 0.007887
[908/5000][140/535][93545] Loss_D: -0.023392 Loss_G: -0.001206 Loss_D_real: -0.010817 Loss_D_fake 0.012574
[908/5000][145/535][93546] Loss_D: -0.020595 Loss_G: -0.009094 Loss_D_real: 0.002243 Loss_D_fake 0.022838
[908/5000][150/535][93547] Loss_D: -0.022942 Loss_G: -0.003256 Loss_D_real: -0.009530 Loss_D_fake 0.013412
[908/5000][155/535][93548] Loss_D: -0.022678 Loss_G: 0.024806 Loss_D_real: -0.030369 Loss_D_fake -0.007690
[908/5000][160/535][93549] Loss_D: -0.021925 Loss_G: 0.017922 Loss_D_real: -0.030459 Loss_D_fake -0.008534
[908/5000][165/535][93550] Loss_D: -0.023259 Loss_G: 0.006489 Loss_D_real: -0.011485 Loss_D_fake 0.011773
[908/5000][170/535][93551] Loss_D: -0.023040 Loss_G: 0.020231 Loss_D_real: -0.031258 Loss_D_fake -0.008218
[908/5000][175/535][93552] Loss_D: -0.022626 Loss_G: -0.006851 Loss_D_real: 0.002746 Loss_D_fake 0.025372
[908/5000][180/535][93553] Loss_D: -0.023966 Loss_G: 0.003071 Loss_D_real: -0.022273 Loss_D_fake 0.001693
[908/5000][185/535][93554] Loss_D: -0.022452 Loss_G: -0.003470 Loss_D_real: -0.011072 Loss_D_fake 0.011380
[908/5000][190/535][93555] Loss_D: -0.021681 Loss_G: -0.000449 Loss_D_real: -0.011266 Loss_D_fake 0.010415
[908/5000][195/535][93556] Loss_D: -0.023043 Loss_G: 0.013933 Loss_D_real: -0.013427 Loss_D_fake 0.009616
[908/5000][200/535][93557] Loss_D: -0.022498 Loss_G: -0.005148 Loss_D_real: -0.005237 Loss_D_fake 0.017261
[908/5000][205/535][93558] Loss_D: -0.022193 Loss_G: 0.006772 Loss_D_real: -0.019683 Loss_D_fake 0.002510
[908/5000][210/535][93559] Loss_D: -0.021972 Loss_G: 0.021122 Loss_D_real: -0.031529 Loss_D_fake -0.009557
[908/5000][215/535][93560] Loss_D: -0.022961 Loss_G: 0.005689 Loss_D_real: -0.018818 Loss_D_fake 0.004143
[908/5000][220/535][93561] Loss_D: -0.022608 Loss_G: 0.001200 Loss_D_real: -0.021305 Loss_D_fake 0.001303
[908/5000][225/535][93562] Loss_D: -0.023749 Loss_G: 0.009219 Loss_D_real: -0.026365 Loss_D_fake -0.002616
[908/5000][230/535][93563] Loss_D: -0.022222 Loss_G: 0.011061 Loss_D_real: -0.029988 Loss_D_fake -0.007766
[908/5000][235/535][93564] Loss_D: -0.022509 Loss_G: 0.001541 Loss_D_real: -0.010664 Loss_D_fake 0.011845
[908/5000][240/535][93565] Loss_D: -0.022660 Loss_G: 0.012047 Loss_D_real: -0.018521 Loss_D_fake 0.004140
[908/5000][245/535][93566] Loss_D: -0.021874 Loss_G: 0.004983 Loss_D_real: -0.012998 Loss_D_fake 0.008875
[908/5000][250/535][93567] Loss_D: -0.022140 Loss_G: 0.012109 Loss_D_real: -0.025924 Loss_D_fake -0.003783
[908/5000][255/535][93568] Loss_D: -0.022384 Loss_G: 0.005318 Loss_D_real: -0.009473 Loss_D_fake 0.012912
[908/5000][260/535][93569] Loss_D: -0.021522 Loss_G: 0.022371 Loss_D_real: -0.036125 Loss_D_fake -0.014603
[908/5000][265/535][93570] Loss_D: -0.021852 Loss_G: 0.011705 Loss_D_real: -0.016728 Loss_D_fake 0.005124
[908/5000][270/535][93571] Loss_D: -0.021881 Loss_G: 0.010232 Loss_D_real: -0.017809 Loss_D_fake 0.004072
[908/5000][275/535][93572] Loss_D: -0.021022 Loss_G: -0.017448 Loss_D_real: -0.002779 Loss_D_fake 0.018243
[908/5000][280/535][93573] Loss_D: -0.020460 Loss_G: 0.017386 Loss_D_real: -0.028130 Loss_D_fake -0.007670
[908/5000][285/535][93574] Loss_D: -0.022027 Loss_G: 0.004313 Loss_D_real: -0.005740 Loss_D_fake 0.016287
[908/5000][290/535][93575] Loss_D: -0.022332 Loss_G: 0.000393 Loss_D_real: -0.023290 Loss_D_fake -0.000958
[908/5000][295/535][93576] Loss_D: -0.022198 Loss_G: 0.002026 Loss_D_real: -0.028976 Loss_D_fake -0.006778
[908/5000][300/535][93577] Loss_D: -0.023568 Loss_G: 0.011341 Loss_D_real: -0.022636 Loss_D_fake 0.000932
[908/5000][305/535][93578] Loss_D: -0.024381 Loss_G: 0.007114 Loss_D_real: -0.018913 Loss_D_fake 0.005468
[908/5000][310/535][93579] Loss_D: -0.021823 Loss_G: 0.004047 Loss_D_real: -0.013197 Loss_D_fake 0.008626
[908/5000][315/535][93580] Loss_D: -0.023127 Loss_G: 0.014222 Loss_D_real: -0.016198 Loss_D_fake 0.006929
[908/5000][320/535][93581] Loss_D: -0.021573 Loss_G: 0.003298 Loss_D_real: -0.017571 Loss_D_fake 0.004002
[908/5000][325/535][93582] Loss_D: -0.021384 Loss_G: 0.007166 Loss_D_real: -0.024735 Loss_D_fake -0.003351
[908/5000][330/535][93583] Loss_D: -0.020850 Loss_G: 0.021095 Loss_D_real: -0.036673 Loss_D_fake -0.015822
[908/5000][335/535][93584] Loss_D: -0.023367 Loss_G: -0.001825 Loss_D_real: -0.014537 Loss_D_fake 0.008830
[908/5000][340/535][93585] Loss_D: -0.023399 Loss_G: 0.014055 Loss_D_real: -0.020788 Loss_D_fake 0.002610
[908/5000][345/535][93586] Loss_D: -0.021371 Loss_G: 0.017295 Loss_D_real: -0.025344 Loss_D_fake -0.003974
[908/5000][350/535][93587] Loss_D: -0.022925 Loss_G: 0.012248 Loss_D_real: -0.023891 Loss_D_fake -0.000966
[908/5000][355/535][93588] Loss_D: -0.023147 Loss_G: 0.018337 Loss_D_real: -0.027134 Loss_D_fake -0.003987
[908/5000][360/535][93589] Loss_D: -0.022697 Loss_G: -0.011097 Loss_D_real: -0.007983 Loss_D_fake 0.014714
[908/5000][365/535][93590] Loss_D: -0.023157 Loss_G: 0.002959 Loss_D_real: -0.016663 Loss_D_fake 0.006494
[908/5000][370/535][93591] Loss_D: -0.021955 Loss_G: 0.001149 Loss_D_real: -0.012269 Loss_D_fake 0.009685
[908/5000][375/535][93592] Loss_D: -0.023080 Loss_G: 0.011350 Loss_D_real: -0.024790 Loss_D_fake -0.001709
[908/5000][380/535][93593] Loss_D: -0.022363 Loss_G: -0.004451 Loss_D_real: -0.010093 Loss_D_fake 0.012270
[908/5000][385/535][93594] Loss_D: -0.022036 Loss_G: -0.013805 Loss_D_real: -0.015363 Loss_D_fake 0.006673
[908/5000][390/535][93595] Loss_D: -0.023477 Loss_G: 0.003976 Loss_D_real: -0.008744 Loss_D_fake 0.014733
[908/5000][395/535][93596] Loss_D: -0.023548 Loss_G: 0.012183 Loss_D_real: -0.015883 Loss_D_fake 0.007665
[908/5000][400/535][93597] Loss_D: -0.022933 Loss_G: -0.009471 Loss_D_real: -0.007798 Loss_D_fake 0.015135
[908/5000][405/535][93598] Loss_D: -0.020998 Loss_G: 0.025155 Loss_D_real: -0.038197 Loss_D_fake -0.017199
[908/5000][410/535][93599] Loss_D: -0.022413 Loss_G: 0.010237 Loss_D_real: -0.009185 Loss_D_fake 0.013227
[908/5000][415/535][93600] Loss_D: -0.023445 Loss_G: -0.008675 Loss_D_real: -0.007026 Loss_D_fake 0.016419
[908/5000][420/535][93601] Loss_D: -0.022966 Loss_G: -0.001711 Loss_D_real: -0.014731 Loss_D_fake 0.008235
[908/5000][425/535][93602] Loss_D: -0.022223 Loss_G: 0.025008 Loss_D_real: -0.027416 Loss_D_fake -0.005193
[908/5000][430/535][93603] Loss_D: -0.024196 Loss_G: -0.002462 Loss_D_real: -0.014622 Loss_D_fake 0.009574
[908/5000][435/535][93604] Loss_D: -0.022443 Loss_G: 0.015275 Loss_D_real: -0.035792 Loss_D_fake -0.013349
[908/5000][440/535][93605] Loss_D: -0.023202 Loss_G: -0.001908 Loss_D_real: -0.009337 Loss_D_fake 0.013866
[908/5000][445/535][93606] Loss_D: -0.023133 Loss_G: 0.011790 Loss_D_real: -0.023090 Loss_D_fake 0.000043
[908/5000][450/535][93607] Loss_D: -0.023341 Loss_G: 0.010013 Loss_D_real: -0.023552 Loss_D_fake -0.000211
[908/5000][455/535][93608] Loss_D: -0.023787 Loss_G: 0.003769 Loss_D_real: -0.014163 Loss_D_fake 0.009623
[908/5000][460/535][93609] Loss_D: -0.023919 Loss_G: 0.008678 Loss_D_real: -0.024687 Loss_D_fake -0.000768
[908/5000][465/535][93610] Loss_D: -0.021420 Loss_G: 0.025097 Loss_D_real: -0.033503 Loss_D_fake -0.012083
[908/5000][470/535][93611] Loss_D: -0.022159 Loss_G: 0.000352 Loss_D_real: -0.004220 Loss_D_fake 0.017939
[908/5000][475/535][93612] Loss_D: -0.021310 Loss_G: 0.025285 Loss_D_real: -0.034973 Loss_D_fake -0.013663
[908/5000][480/535][93613] Loss_D: -0.023654 Loss_G: 0.009458 Loss_D_real: -0.034324 Loss_D_fake -0.010670
[908/5000][485/535][93614] Loss_D: -0.022312 Loss_G: -0.001521 Loss_D_real: -0.003852 Loss_D_fake 0.018460
[908/5000][490/535][93615] Loss_D: -0.020750 Loss_G: 0.008059 Loss_D_real: -0.016688 Loss_D_fake 0.004061
[908/5000][495/535][93616] Loss_D: -0.021465 Loss_G: -0.017420 Loss_D_real: -0.002683 Loss_D_fake 0.018782
[908/5000][500/535][93617] Loss_D: -0.021482 Loss_G: -0.001411 Loss_D_real: -0.005611 Loss_D_fake 0.015871
[908/5000][505/535][93618] Loss_D: -0.022839 Loss_G: 0.017690 Loss_D_real: -0.019573 Loss_D_fake 0.003266
[908/5000][510/535][93619] Loss_D: -0.021433 Loss_G: 0.008829 Loss_D_real: -0.015270 Loss_D_fake 0.006164
[908/5000][515/535][93620] Loss_D: -0.022789 Loss_G: 0.002455 Loss_D_real: -0.015775 Loss_D_fake 0.007014
[908/5000][520/535][93621] Loss_D: -0.020995 Loss_G: 0.005964 Loss_D_real: -0.021442 Loss_D_fake -0.000447
[908/5000][525/535][93622] Loss_D: -0.022464 Loss_G: 0.013167 Loss_D_real: -0.017362 Loss_D_fake 0.005102
[908/5000][530/535][93623] Loss_D: -0.021749 Loss_G: 0.015148 Loss_D_real: -0.028628 Loss_D_fake -0.006880
[908/5000][535/535][93624] Loss_D: -0.022677 Loss_G: 0.017632 Loss_D_real: -0.024144 Loss_D_fake -0.001467
[909/5000][5/535][93625] Loss_D: -0.022538 Loss_G: -0.022526 Loss_D_real: -0.005590 Loss_D_fake 0.016948
[909/5000][10/535][93626] Loss_D: -0.021646 Loss_G: -0.020070 Loss_D_real: -0.007801 Loss_D_fake 0.013845
[909/5000][15/535][93627] Loss_D: -0.019105 Loss_G: 0.038074 Loss_D_real: -0.030454 Loss_D_fake -0.011348
[909/5000][20/535][93628] Loss_D: -0.021917 Loss_G: 0.000933 Loss_D_real: -0.005898 Loss_D_fake 0.016019
[909/5000][25/535][93629] Loss_D: -0.019629 Loss_G: 0.015472 Loss_D_real: -0.037076 Loss_D_fake -0.017447
[909/5000][30/535][93630] Loss_D: -0.022755 Loss_G: 0.001903 Loss_D_real: -0.008497 Loss_D_fake 0.014258
[909/5000][35/535][93631] Loss_D: -0.022678 Loss_G: 0.019969 Loss_D_real: -0.032481 Loss_D_fake -0.009803
[909/5000][40/535][93632] Loss_D: -0.022418 Loss_G: -0.008041 Loss_D_real: -0.001835 Loss_D_fake 0.020583
[909/5000][45/535][93633] Loss_D: -0.022124 Loss_G: 0.009048 Loss_D_real: -0.033037 Loss_D_fake -0.010913
[909/5000][50/535][93634] Loss_D: -0.022608 Loss_G: -0.004158 Loss_D_real: -0.001131 Loss_D_fake 0.021477
[909/5000][55/535][93635] Loss_D: -0.021757 Loss_G: 0.017922 Loss_D_real: -0.022902 Loss_D_fake -0.001145
[909/5000][60/535][93636] Loss_D: -0.021709 Loss_G: 0.001434 Loss_D_real: -0.009953 Loss_D_fake 0.011756
[909/5000][65/535][93637] Loss_D: -0.021263 Loss_G: 0.013384 Loss_D_real: -0.025516 Loss_D_fake -0.004253
[909/5000][70/535][93638] Loss_D: -0.021312 Loss_G: -0.013743 Loss_D_real: -0.005929 Loss_D_fake 0.015383
[909/5000][75/535][93639] Loss_D: -0.021714 Loss_G: 0.018101 Loss_D_real: -0.029479 Loss_D_fake -0.007765
[909/5000][80/535][93640] Loss_D: -0.022938 Loss_G: 0.016286 Loss_D_real: -0.021081 Loss_D_fake 0.001857
[909/5000][85/535][93641] Loss_D: -0.021726 Loss_G: 0.011722 Loss_D_real: -0.020486 Loss_D_fake 0.001240
[909/5000][90/535][93642] Loss_D: -0.022751 Loss_G: 0.009372 Loss_D_real: -0.023049 Loss_D_fake -0.000298
[909/5000][95/535][93643] Loss_D: -0.021496 Loss_G: 0.011223 Loss_D_real: -0.024541 Loss_D_fake -0.003045
[909/5000][100/535][93644] Loss_D: -0.022013 Loss_G: 0.014888 Loss_D_real: -0.028912 Loss_D_fake -0.006898
[909/5000][105/535][93645] Loss_D: -0.022326 Loss_G: 0.001732 Loss_D_real: -0.003815 Loss_D_fake 0.018511
[909/5000][110/535][93646] Loss_D: -0.021402 Loss_G: 0.014329 Loss_D_real: -0.030632 Loss_D_fake -0.009229
[909/5000][115/535][93647] Loss_D: -0.022607 Loss_G: 0.008207 Loss_D_real: -0.021614 Loss_D_fake 0.000992
[909/5000][120/535][93648] Loss_D: -0.023513 Loss_G: 0.005823 Loss_D_real: -0.010532 Loss_D_fake 0.012981
[909/5000][125/535][93649] Loss_D: -0.024370 Loss_G: 0.001775 Loss_D_real: -0.011896 Loss_D_fake 0.012474
[909/5000][130/535][93650] Loss_D: -0.021930 Loss_G: 0.024056 Loss_D_real: -0.024521 Loss_D_fake -0.002591
[909/5000][135/535][93651] Loss_D: -0.022278 Loss_G: -0.011708 Loss_D_real: -0.009322 Loss_D_fake 0.012956
[909/5000][140/535][93652] Loss_D: -0.022039 Loss_G: 0.011894 Loss_D_real: -0.027949 Loss_D_fake -0.005910
[909/5000][145/535][93653] Loss_D: -0.021505 Loss_G: 0.020081 Loss_D_real: -0.028041 Loss_D_fake -0.006536
[909/5000][150/535][93654] Loss_D: -0.022444 Loss_G: 0.004419 Loss_D_real: -0.022027 Loss_D_fake 0.000417
[909/5000][155/535][93655] Loss_D: -0.022237 Loss_G: 0.025971 Loss_D_real: -0.026565 Loss_D_fake -0.004328
[909/5000][160/535][93656] Loss_D: -0.023295 Loss_G: 0.015568 Loss_D_real: -0.018363 Loss_D_fake 0.004932
[909/5000][165/535][93657] Loss_D: -0.021211 Loss_G: -0.003163 Loss_D_real: -0.009474 Loss_D_fake 0.011737
[909/5000][170/535][93658] Loss_D: -0.022769 Loss_G: 0.006605 Loss_D_real: -0.020571 Loss_D_fake 0.002198
[909/5000][175/535][93659] Loss_D: -0.021631 Loss_G: 0.016470 Loss_D_real: -0.019457 Loss_D_fake 0.002175
[909/5000][180/535][93660] Loss_D: -0.021903 Loss_G: 0.012970 Loss_D_real: -0.015463 Loss_D_fake 0.006440
[909/5000][185/535][93661] Loss_D: -0.022015 Loss_G: 0.006487 Loss_D_real: -0.014078 Loss_D_fake 0.007937
[909/5000][190/535][93662] Loss_D: -0.023406 Loss_G: -0.004508 Loss_D_real: -0.012890 Loss_D_fake 0.010516
[909/5000][195/535][93663] Loss_D: -0.022518 Loss_G: 0.020690 Loss_D_real: -0.023106 Loss_D_fake -0.000589
[909/5000][200/535][93664] Loss_D: -0.022857 Loss_G: 0.017653 Loss_D_real: -0.022161 Loss_D_fake 0.000696
[909/5000][205/535][93665] Loss_D: -0.021388 Loss_G: 0.026387 Loss_D_real: -0.029114 Loss_D_fake -0.007726
[909/5000][210/535][93666] Loss_D: -0.023254 Loss_G: -0.009813 Loss_D_real: -0.015655 Loss_D_fake 0.007599
[909/5000][215/535][93667] Loss_D: -0.022004 Loss_G: 0.015985 Loss_D_real: -0.027270 Loss_D_fake -0.005266
[909/5000][220/535][93668] Loss_D: -0.023728 Loss_G: 0.010741 Loss_D_real: -0.021639 Loss_D_fake 0.002089
[909/5000][225/535][93669] Loss_D: -0.022284 Loss_G: 0.015088 Loss_D_real: -0.020309 Loss_D_fake 0.001975
[909/5000][230/535][93670] Loss_D: -0.023314 Loss_G: 0.016182 Loss_D_real: -0.014643 Loss_D_fake 0.008671
[909/5000][235/535][93671] Loss_D: -0.021565 Loss_G: 0.006869 Loss_D_real: -0.014016 Loss_D_fake 0.007549
[909/5000][240/535][93672] Loss_D: -0.023143 Loss_G: -0.001366 Loss_D_real: -0.006495 Loss_D_fake 0.016648
[909/5000][245/535][93673] Loss_D: -0.022098 Loss_G: 0.014345 Loss_D_real: -0.026147 Loss_D_fake -0.004049
[909/5000][250/535][93674] Loss_D: -0.021732 Loss_G: 0.008172 Loss_D_real: -0.018050 Loss_D_fake 0.003682
[909/5000][255/535][93675] Loss_D: -0.022685 Loss_G: 0.008633 Loss_D_real: -0.023538 Loss_D_fake -0.000853
[909/5000][260/535][93676] Loss_D: -0.023693 Loss_G: -0.006330 Loss_D_real: -0.005770 Loss_D_fake 0.017923
[909/5000][265/535][93677] Loss_D: -0.023363 Loss_G: 0.011255 Loss_D_real: -0.026119 Loss_D_fake -0.002756
[909/5000][270/535][93678] Loss_D: -0.022305 Loss_G: -0.001150 Loss_D_real: -0.008448 Loss_D_fake 0.013857
[909/5000][275/535][93679] Loss_D: -0.022611 Loss_G: 0.004933 Loss_D_real: -0.018276 Loss_D_fake 0.004335
[909/5000][280/535][93680] Loss_D: -0.022781 Loss_G: 0.003289 Loss_D_real: -0.012998 Loss_D_fake 0.009783
[909/5000][285/535][93681] Loss_D: -0.022855 Loss_G: -0.003591 Loss_D_real: -0.017835 Loss_D_fake 0.005020
[909/5000][290/535][93682] Loss_D: -0.021156 Loss_G: 0.025739 Loss_D_real: -0.034846 Loss_D_fake -0.013690
[909/5000][295/535][93683] Loss_D: -0.022953 Loss_G: -0.018457 Loss_D_real: -0.007813 Loss_D_fake 0.015140
[909/5000][300/535][93684] Loss_D: -0.022568 Loss_G: -0.003099 Loss_D_real: -0.003190 Loss_D_fake 0.019378
[909/5000][305/535][93685] Loss_D: -0.022954 Loss_G: 0.016536 Loss_D_real: -0.023702 Loss_D_fake -0.000747
[909/5000][310/535][93686] Loss_D: -0.023355 Loss_G: 0.008108 Loss_D_real: -0.016941 Loss_D_fake 0.006414
[909/5000][315/535][93687] Loss_D: -0.023391 Loss_G: 0.010008 Loss_D_real: -0.029069 Loss_D_fake -0.005678
[909/5000][320/535][93688] Loss_D: -0.022035 Loss_G: 0.003211 Loss_D_real: -0.020055 Loss_D_fake 0.001979
[909/5000][325/535][93689] Loss_D: -0.023696 Loss_G: 0.008349 Loss_D_real: -0.023114 Loss_D_fake 0.000582
[909/5000][330/535][93690] Loss_D: -0.022289 Loss_G: -0.013125 Loss_D_real: -0.002860 Loss_D_fake 0.019429
[909/5000][335/535][93691] Loss_D: -0.021218 Loss_G: 0.001852 Loss_D_real: -0.016551 Loss_D_fake 0.004667
[909/5000][340/535][93692] Loss_D: -0.023558 Loss_G: -0.002813 Loss_D_real: -0.018342 Loss_D_fake 0.005217
[909/5000][345/535][93693] Loss_D: -0.021596 Loss_G: 0.026111 Loss_D_real: -0.031943 Loss_D_fake -0.010347
[909/5000][350/535][93694] Loss_D: -0.022158 Loss_G: 0.001057 Loss_D_real: -0.016160 Loss_D_fake 0.005998
[909/5000][355/535][93695] Loss_D: -0.022761 Loss_G: 0.004532 Loss_D_real: -0.011961 Loss_D_fake 0.010800
[909/5000][360/535][93696] Loss_D: -0.022940 Loss_G: -0.007786 Loss_D_real: -0.010351 Loss_D_fake 0.012589
[909/5000][365/535][93697] Loss_D: -0.023388 Loss_G: 0.007897 Loss_D_real: -0.022004 Loss_D_fake 0.001385
[909/5000][370/535][93698] Loss_D: -0.021918 Loss_G: -0.003944 Loss_D_real: -0.010095 Loss_D_fake 0.011823
[909/5000][375/535][93699] Loss_D: -0.022391 Loss_G: -0.002937 Loss_D_real: -0.011263 Loss_D_fake 0.011128
[909/5000][380/535][93700] Loss_D: -0.021758 Loss_G: 0.006556 Loss_D_real: -0.022317 Loss_D_fake -0.000560
[909/5000][385/535][93701] Loss_D: -0.023067 Loss_G: 0.007525 Loss_D_real: -0.025017 Loss_D_fake -0.001950
[909/5000][390/535][93702] Loss_D: -0.023947 Loss_G: -0.000016 Loss_D_real: -0.019427 Loss_D_fake 0.004520
[909/5000][395/535][93703] Loss_D: -0.022608 Loss_G: 0.023492 Loss_D_real: -0.025655 Loss_D_fake -0.003046
[909/5000][400/535][93704] Loss_D: -0.023762 Loss_G: 0.005720 Loss_D_real: -0.019687 Loss_D_fake 0.004076
[909/5000][405/535][93705] Loss_D: -0.022731 Loss_G: -0.001232 Loss_D_real: -0.005202 Loss_D_fake 0.017529
[909/5000][410/535][93706] Loss_D: -0.022313 Loss_G: 0.016775 Loss_D_real: -0.025866 Loss_D_fake -0.003553
[909/5000][415/535][93707] Loss_D: -0.021991 Loss_G: 0.005004 Loss_D_real: -0.010867 Loss_D_fake 0.011124
[909/5000][420/535][93708] Loss_D: -0.022757 Loss_G: 0.014488 Loss_D_real: -0.026097 Loss_D_fake -0.003341
[909/5000][425/535][93709] Loss_D: -0.023191 Loss_G: 0.017366 Loss_D_real: -0.018365 Loss_D_fake 0.004825
[909/5000][430/535][93710] Loss_D: -0.021553 Loss_G: -0.010981 Loss_D_real: -0.004094 Loss_D_fake 0.017459
[909/5000][435/535][93711] Loss_D: -0.021566 Loss_G: 0.005537 Loss_D_real: -0.026323 Loss_D_fake -0.004757
[909/5000][440/535][93712] Loss_D: -0.022839 Loss_G: 0.037943 Loss_D_real: -0.029143 Loss_D_fake -0.006304
[909/5000][445/535][93713] Loss_D: -0.021338 Loss_G: -0.006469 Loss_D_real: 0.000948 Loss_D_fake 0.022286
[909/5000][450/535][93714] Loss_D: -0.022953 Loss_G: 0.003350 Loss_D_real: -0.023017 Loss_D_fake -0.000064
[909/5000][455/535][93715] Loss_D: -0.023125 Loss_G: 0.011350 Loss_D_real: -0.021218 Loss_D_fake 0.001907
[909/5000][460/535][93716] Loss_D: -0.022556 Loss_G: 0.002596 Loss_D_real: -0.015877 Loss_D_fake 0.006679
[909/5000][465/535][93717] Loss_D: -0.022448 Loss_G: 0.017822 Loss_D_real: -0.023117 Loss_D_fake -0.000669
[909/5000][470/535][93718] Loss_D: -0.022643 Loss_G: -0.012339 Loss_D_real: -0.002726 Loss_D_fake 0.019917
[909/5000][475/535][93719] Loss_D: -0.022087 Loss_G: 0.025369 Loss_D_real: -0.030529 Loss_D_fake -0.008442
[909/5000][480/535][93720] Loss_D: -0.022996 Loss_G: 0.009542 Loss_D_real: -0.022424 Loss_D_fake 0.000572
[909/5000][485/535][93721] Loss_D: -0.021964 Loss_G: 0.021342 Loss_D_real: -0.017466 Loss_D_fake 0.004498
[909/5000][490/535][93722] Loss_D: -0.022786 Loss_G: 0.004603 Loss_D_real: -0.011766 Loss_D_fake 0.011020
[909/5000][495/535][93723] Loss_D: -0.022045 Loss_G: 0.007970 Loss_D_real: -0.023191 Loss_D_fake -0.001147
[909/5000][500/535][93724] Loss_D: -0.022947 Loss_G: 0.004471 Loss_D_real: -0.015425 Loss_D_fake 0.007522
[909/5000][505/535][93725] Loss_D: -0.022165 Loss_G: 0.015229 Loss_D_real: -0.021073 Loss_D_fake 0.001092
[909/5000][510/535][93726] Loss_D: -0.023014 Loss_G: 0.022246 Loss_D_real: -0.034994 Loss_D_fake -0.011980
[909/5000][515/535][93727] Loss_D: -0.022706 Loss_G: -0.000265 Loss_D_real: -0.015447 Loss_D_fake 0.007258
[909/5000][520/535][93728] Loss_D: -0.021050 Loss_G: 0.028298 Loss_D_real: -0.034842 Loss_D_fake -0.013791
[909/5000][525/535][93729] Loss_D: -0.022424 Loss_G: 0.002859 Loss_D_real: -0.028616 Loss_D_fake -0.006192
[909/5000][530/535][93730] Loss_D: -0.021111 Loss_G: -0.008090 Loss_D_real: -0.003959 Loss_D_fake 0.017152
[909/5000][535/535][93731] Loss_D: -0.024693 Loss_G: 0.008235 Loss_D_real: -0.018857 Loss_D_fake 0.005837
[910/5000][5/535][93732] Loss_D: -0.021914 Loss_G: 0.013136 Loss_D_real: -0.029631 Loss_D_fake -0.007716
[910/5000][10/535][93733] Loss_D: -0.021369 Loss_G: -0.002180 Loss_D_real: -0.007008 Loss_D_fake 0.014362
[910/5000][15/535][93734] Loss_D: -0.021900 Loss_G: 0.008998 Loss_D_real: -0.019662 Loss_D_fake 0.002238
[910/5000][20/535][93735] Loss_D: -0.022414 Loss_G: 0.002207 Loss_D_real: -0.013362 Loss_D_fake 0.009052
[910/5000][25/535][93736] Loss_D: -0.021828 Loss_G: 0.015273 Loss_D_real: -0.015637 Loss_D_fake 0.006192
[910/5000][30/535][93737] Loss_D: -0.021169 Loss_G: 0.020528 Loss_D_real: -0.024490 Loss_D_fake -0.003321
[910/5000][35/535][93738] Loss_D: -0.022446 Loss_G: 0.031128 Loss_D_real: -0.020698 Loss_D_fake 0.001748
[910/5000][40/535][93739] Loss_D: -0.022636 Loss_G: 0.004904 Loss_D_real: -0.017213 Loss_D_fake 0.005422
[910/5000][45/535][93740] Loss_D: -0.023075 Loss_G: 0.020575 Loss_D_real: -0.033034 Loss_D_fake -0.009959
[910/5000][50/535][93741] Loss_D: -0.021628 Loss_G: 0.026777 Loss_D_real: -0.037857 Loss_D_fake -0.016229
[910/5000][55/535][93742] Loss_D: -0.022783 Loss_G: 0.016462 Loss_D_real: -0.019467 Loss_D_fake 0.003316
[910/5000][60/535][93743] Loss_D: -0.023337 Loss_G: 0.015120 Loss_D_real: -0.018584 Loss_D_fake 0.004753
[910/5000][65/535][93744] Loss_D: -0.022250 Loss_G: 0.011319 Loss_D_real: -0.019551 Loss_D_fake 0.002699
[910/5000][70/535][93745] Loss_D: -0.022977 Loss_G: 0.013266 Loss_D_real: -0.015342 Loss_D_fake 0.007635
[910/5000][75/535][93746] Loss_D: -0.023950 Loss_G: 0.007510 Loss_D_real: -0.021108 Loss_D_fake 0.002842
[910/5000][80/535][93747] Loss_D: -0.022333 Loss_G: 0.019573 Loss_D_real: -0.027021 Loss_D_fake -0.004688
[910/5000][85/535][93748] Loss_D: -0.021854 Loss_G: -0.011464 Loss_D_real: -0.007966 Loss_D_fake 0.013888
[910/5000][90/535][93749] Loss_D: -0.021499 Loss_G: 0.020941 Loss_D_real: -0.027886 Loss_D_fake -0.006387
[910/5000][95/535][93750] Loss_D: -0.021784 Loss_G: -0.001762 Loss_D_real: -0.021254 Loss_D_fake 0.000530
[910/5000][100/535][93751] Loss_D: -0.022834 Loss_G: 0.006278 Loss_D_real: -0.015357 Loss_D_fake 0.007477
[910/5000][105/535][93752] Loss_D: -0.022354 Loss_G: -0.000198 Loss_D_real: -0.023520 Loss_D_fake -0.001165
[910/5000][110/535][93753] Loss_D: -0.020717 Loss_G: 0.026693 Loss_D_real: -0.029214 Loss_D_fake -0.008497
[910/5000][115/535][93754] Loss_D: -0.022828 Loss_G: -0.006181 Loss_D_real: -0.004465 Loss_D_fake 0.018364
[910/5000][120/535][93755] Loss_D: -0.022829 Loss_G: 0.006142 Loss_D_real: -0.010938 Loss_D_fake 0.011891
[910/5000][125/535][93756] Loss_D: -0.021052 Loss_G: 0.016046 Loss_D_real: -0.029088 Loss_D_fake -0.008036
[910/5000][130/535][93757] Loss_D: -0.022533 Loss_G: 0.003947 Loss_D_real: -0.014571 Loss_D_fake 0.007963
[910/5000][135/535][93758] Loss_D: -0.021930 Loss_G: -0.007237 Loss_D_real: -0.010479 Loss_D_fake 0.011451
[910/5000][140/535][93759] Loss_D: -0.022053 Loss_G: 0.019463 Loss_D_real: -0.018567 Loss_D_fake 0.003485
[910/5000][145/535][93760] Loss_D: -0.022335 Loss_G: 0.006903 Loss_D_real: -0.022344 Loss_D_fake -0.000010
[910/5000][150/535][93761] Loss_D: -0.023391 Loss_G: 0.014604 Loss_D_real: -0.025737 Loss_D_fake -0.002346
[910/5000][155/535][93762] Loss_D: -0.021890 Loss_G: 0.026131 Loss_D_real: -0.033502 Loss_D_fake -0.011612
[910/5000][160/535][93763] Loss_D: -0.021479 Loss_G: 0.014903 Loss_D_real: -0.006260 Loss_D_fake 0.015219
[910/5000][165/535][93764] Loss_D: -0.022132 Loss_G: 0.011579 Loss_D_real: -0.020956 Loss_D_fake 0.001177
[910/5000][170/535][93765] Loss_D: -0.023113 Loss_G: 0.002764 Loss_D_real: -0.011126 Loss_D_fake 0.011987
[910/5000][175/535][93766] Loss_D: -0.022863 Loss_G: 0.005174 Loss_D_real: -0.010339 Loss_D_fake 0.012524
[910/5000][180/535][93767] Loss_D: -0.023017 Loss_G: 0.001887 Loss_D_real: -0.014235 Loss_D_fake 0.008782
[910/5000][185/535][93768] Loss_D: -0.021543 Loss_G: 0.010433 Loss_D_real: -0.009397 Loss_D_fake 0.012145
[910/5000][190/535][93769] Loss_D: -0.022153 Loss_G: 0.006903 Loss_D_real: -0.013516 Loss_D_fake 0.008637
[910/5000][195/535][93770] Loss_D: -0.022241 Loss_G: -0.009521 Loss_D_real: 0.000400 Loss_D_fake 0.022641
[910/5000][200/535][93771] Loss_D: -0.020119 Loss_G: 0.022748 Loss_D_real: -0.025541 Loss_D_fake -0.005422
[910/5000][205/535][93772] Loss_D: -0.021728 Loss_G: -0.004830 Loss_D_real: -0.015152 Loss_D_fake 0.006575
[910/5000][210/535][93773] Loss_D: -0.021245 Loss_G: 0.026564 Loss_D_real: -0.032493 Loss_D_fake -0.011247
[910/5000][215/535][93774] Loss_D: -0.020891 Loss_G: 0.001251 Loss_D_real: -0.011763 Loss_D_fake 0.009129
[910/5000][220/535][93775] Loss_D: -0.022628 Loss_G: 0.023348 Loss_D_real: -0.020848 Loss_D_fake 0.001780
[910/5000][225/535][93776] Loss_D: -0.021358 Loss_G: 0.011362 Loss_D_real: -0.014940 Loss_D_fake 0.006418
[910/5000][230/535][93777] Loss_D: -0.020426 Loss_G: 0.017569 Loss_D_real: -0.026459 Loss_D_fake -0.006034
[910/5000][235/535][93778] Loss_D: -0.022551 Loss_G: 0.012107 Loss_D_real: -0.015105 Loss_D_fake 0.007447
[910/5000][240/535][93779] Loss_D: -0.022529 Loss_G: 0.011674 Loss_D_real: -0.026070 Loss_D_fake -0.003541
[910/5000][245/535][93780] Loss_D: -0.022678 Loss_G: 0.001429 Loss_D_real: -0.023509 Loss_D_fake -0.000831
[910/5000][250/535][93781] Loss_D: -0.020784 Loss_G: -0.011121 Loss_D_real: -0.000678 Loss_D_fake 0.020106
[910/5000][255/535][93782] Loss_D: -0.020932 Loss_G: 0.021204 Loss_D_real: -0.027806 Loss_D_fake -0.006874
[910/5000][260/535][93783] Loss_D: -0.023796 Loss_G: -0.004397 Loss_D_real: -0.010933 Loss_D_fake 0.012862
[910/5000][265/535][93784] Loss_D: -0.021229 Loss_G: 0.020190 Loss_D_real: -0.031278 Loss_D_fake -0.010049
[910/5000][270/535][93785] Loss_D: -0.022361 Loss_G: -0.006048 Loss_D_real: -0.018382 Loss_D_fake 0.003979
[910/5000][275/535][93786] Loss_D: -0.020106 Loss_G: 0.024596 Loss_D_real: -0.027661 Loss_D_fake -0.007556
[910/5000][280/535][93787] Loss_D: -0.023033 Loss_G: 0.011809 Loss_D_real: -0.016782 Loss_D_fake 0.006251
[910/5000][285/535][93788] Loss_D: -0.022752 Loss_G: 0.009544 Loss_D_real: -0.022180 Loss_D_fake 0.000572
[910/5000][290/535][93789] Loss_D: -0.021819 Loss_G: -0.000234 Loss_D_real: -0.011610 Loss_D_fake 0.010209
[910/5000][295/535][93790] Loss_D: -0.022966 Loss_G: 0.007326 Loss_D_real: -0.023753 Loss_D_fake -0.000786
[910/5000][300/535][93791] Loss_D: -0.021838 Loss_G: 0.006024 Loss_D_real: -0.007596 Loss_D_fake 0.014242
[910/5000][305/535][93792] Loss_D: -0.022486 Loss_G: -0.001638 Loss_D_real: -0.016391 Loss_D_fake 0.006095
[910/5000][310/535][93793] Loss_D: -0.023189 Loss_G: 0.007494 Loss_D_real: -0.026496 Loss_D_fake -0.003307
[910/5000][315/535][93794] Loss_D: -0.023841 Loss_G: 0.000398 Loss_D_real: -0.017517 Loss_D_fake 0.006324
[910/5000][320/535][93795] Loss_D: -0.022622 Loss_G: 0.011027 Loss_D_real: -0.023744 Loss_D_fake -0.001122
[910/5000][325/535][93796] Loss_D: -0.022925 Loss_G: 0.006963 Loss_D_real: -0.010199 Loss_D_fake 0.012725
[910/5000][330/535][93797] Loss_D: -0.022075 Loss_G: 0.020029 Loss_D_real: -0.033319 Loss_D_fake -0.011243
[910/5000][335/535][93798] Loss_D: -0.022853 Loss_G: 0.013116 Loss_D_real: -0.013869 Loss_D_fake 0.008983
[910/5000][340/535][93799] Loss_D: -0.021948 Loss_G: 0.001863 Loss_D_real: -0.013873 Loss_D_fake 0.008074
[910/5000][345/535][93800] Loss_D: -0.022184 Loss_G: 0.025560 Loss_D_real: -0.025418 Loss_D_fake -0.003234
[910/5000][350/535][93801] Loss_D: -0.021024 Loss_G: 0.024369 Loss_D_real: -0.028927 Loss_D_fake -0.007904
[910/5000][355/535][93802] Loss_D: -0.022145 Loss_G: 0.010734 Loss_D_real: -0.023503 Loss_D_fake -0.001358
[910/5000][360/535][93803] Loss_D: -0.020498 Loss_G: 0.021020 Loss_D_real: -0.036101 Loss_D_fake -0.015603
[910/5000][365/535][93804] Loss_D: -0.022077 Loss_G: 0.028554 Loss_D_real: -0.034113 Loss_D_fake -0.012036
[910/5000][370/535][93805] Loss_D: -0.022608 Loss_G: -0.010474 Loss_D_real: -0.006782 Loss_D_fake 0.015826
[910/5000][375/535][93806] Loss_D: -0.022392 Loss_G: -0.005633 Loss_D_real: -0.020279 Loss_D_fake 0.002113
[910/5000][380/535][93807] Loss_D: -0.023314 Loss_G: 0.009837 Loss_D_real: -0.029967 Loss_D_fake -0.006653
[910/5000][385/535][93808] Loss_D: -0.022368 Loss_G: -0.011686 Loss_D_real: -0.004558 Loss_D_fake 0.017810
[910/5000][390/535][93809] Loss_D: -0.022281 Loss_G: 0.023269 Loss_D_real: -0.028163 Loss_D_fake -0.005882
[910/5000][395/535][93810] Loss_D: -0.022953 Loss_G: 0.011890 Loss_D_real: -0.023017 Loss_D_fake -0.000065
[910/5000][400/535][93811] Loss_D: -0.022967 Loss_G: 0.005985 Loss_D_real: -0.024341 Loss_D_fake -0.001375
[910/5000][405/535][93812] Loss_D: -0.022615 Loss_G: 0.004844 Loss_D_real: -0.022906 Loss_D_fake -0.000290
[910/5000][410/535][93813] Loss_D: -0.022636 Loss_G: -0.008750 Loss_D_real: -0.005584 Loss_D_fake 0.017052
[910/5000][415/535][93814] Loss_D: -0.023216 Loss_G: 0.012059 Loss_D_real: -0.020662 Loss_D_fake 0.002554
[910/5000][420/535][93815] Loss_D: -0.021034 Loss_G: 0.010042 Loss_D_real: -0.016025 Loss_D_fake 0.005009
[910/5000][425/535][93816] Loss_D: -0.023429 Loss_G: 0.000110 Loss_D_real: -0.010921 Loss_D_fake 0.012509
[910/5000][430/535][93817] Loss_D: -0.021722 Loss_G: 0.006022 Loss_D_real: -0.025388 Loss_D_fake -0.003666
[910/5000][435/535][93818] Loss_D: -0.022363 Loss_G: 0.011701 Loss_D_real: -0.017267 Loss_D_fake 0.005096
[910/5000][440/535][93819] Loss_D: -0.022314 Loss_G: -0.012578 Loss_D_real: -0.006057 Loss_D_fake 0.016257
[910/5000][445/535][93820] Loss_D: -0.022097 Loss_G: 0.011151 Loss_D_real: -0.027547 Loss_D_fake -0.005450
[910/5000][450/535][93821] Loss_D: -0.022529 Loss_G: 0.005900 Loss_D_real: -0.008944 Loss_D_fake 0.013585
[910/5000][455/535][93822] Loss_D: -0.022721 Loss_G: 0.003870 Loss_D_real: -0.006611 Loss_D_fake 0.016109
[910/5000][460/535][93823] Loss_D: -0.022528 Loss_G: -0.002859 Loss_D_real: -0.018997 Loss_D_fake 0.003531
[910/5000][465/535][93824] Loss_D: -0.023408 Loss_G: 0.020066 Loss_D_real: -0.017707 Loss_D_fake 0.005701
[910/5000][470/535][93825] Loss_D: -0.021784 Loss_G: 0.004472 Loss_D_real: -0.013802 Loss_D_fake 0.007981
[910/5000][475/535][93826] Loss_D: -0.021062 Loss_G: 0.021275 Loss_D_real: -0.026774 Loss_D_fake -0.005712
[910/5000][480/535][93827] Loss_D: -0.021840 Loss_G: 0.005527 Loss_D_real: -0.024456 Loss_D_fake -0.002616
[910/5000][485/535][93828] Loss_D: -0.021724 Loss_G: -0.004343 Loss_D_real: -0.011944 Loss_D_fake 0.009779
[910/5000][490/535][93829] Loss_D: -0.022011 Loss_G: 0.002323 Loss_D_real: -0.021668 Loss_D_fake 0.000342
[910/5000][495/535][93830] Loss_D: -0.022385 Loss_G: 0.004164 Loss_D_real: -0.011738 Loss_D_fake 0.010647
[910/5000][500/535][93831] Loss_D: -0.022180 Loss_G: 0.009344 Loss_D_real: -0.023118 Loss_D_fake -0.000938
[910/5000][505/535][93832] Loss_D: -0.021587 Loss_G: -0.002597 Loss_D_real: -0.016962 Loss_D_fake 0.004625
[910/5000][510/535][93833] Loss_D: -0.022715 Loss_G: 0.022151 Loss_D_real: -0.025573 Loss_D_fake -0.002858
[910/5000][515/535][93834] Loss_D: -0.022157 Loss_G: 0.010483 Loss_D_real: -0.018161 Loss_D_fake 0.003996
[910/5000][520/535][93835] Loss_D: -0.022239 Loss_G: 0.011326 Loss_D_real: -0.021027 Loss_D_fake 0.001212
[910/5000][525/535][93836] Loss_D: -0.021297 Loss_G: 0.026222 Loss_D_real: -0.030198 Loss_D_fake -0.008901
[910/5000][530/535][93837] Loss_D: -0.022053 Loss_G: -0.001307 Loss_D_real: -0.009971 Loss_D_fake 0.012082
[910/5000][535/535][93838] Loss_D: -0.021444 Loss_G: 0.003068 Loss_D_real: -0.028240 Loss_D_fake -0.006797
[911/5000][5/535][93839] Loss_D: -0.024765 Loss_G: 0.006046 Loss_D_real: -0.013555 Loss_D_fake 0.011210
[911/5000][10/535][93840] Loss_D: -0.021630 Loss_G: 0.013294 Loss_D_real: -0.014898 Loss_D_fake 0.006732
[911/5000][15/535][93841] Loss_D: -0.022011 Loss_G: 0.009949 Loss_D_real: -0.023781 Loss_D_fake -0.001770
[911/5000][20/535][93842] Loss_D: -0.022367 Loss_G: 0.009481 Loss_D_real: -0.022137 Loss_D_fake 0.000230
[911/5000][25/535][93843] Loss_D: -0.021746 Loss_G: -0.010000 Loss_D_real: -0.005202 Loss_D_fake 0.016544
[911/5000][30/535][93844] Loss_D: -0.021546 Loss_G: 0.020141 Loss_D_real: -0.011721 Loss_D_fake 0.009826
[911/5000][35/535][93845] Loss_D: -0.021292 Loss_G: 0.000862 Loss_D_real: -0.005352 Loss_D_fake 0.015940
[911/5000][40/535][93846] Loss_D: -0.022854 Loss_G: 0.020463 Loss_D_real: -0.025981 Loss_D_fake -0.003127
[911/5000][45/535][93847] Loss_D: -0.022089 Loss_G: 0.029384 Loss_D_real: -0.028624 Loss_D_fake -0.006535
[911/5000][50/535][93848] Loss_D: -0.022952 Loss_G: -0.002398 Loss_D_real: -0.014752 Loss_D_fake 0.008201
[911/5000][55/535][93849] Loss_D: -0.022164 Loss_G: 0.023096 Loss_D_real: -0.032252 Loss_D_fake -0.010088
[911/5000][60/535][93850] Loss_D: -0.021668 Loss_G: 0.016788 Loss_D_real: -0.016787 Loss_D_fake 0.004881
[911/5000][65/535][93851] Loss_D: -0.022716 Loss_G: 0.010994 Loss_D_real: -0.026424 Loss_D_fake -0.003709
[911/5000][70/535][93852] Loss_D: -0.022051 Loss_G: 0.007439 Loss_D_real: -0.023273 Loss_D_fake -0.001222
[911/5000][75/535][93853] Loss_D: -0.023561 Loss_G: 0.000752 Loss_D_real: -0.013037 Loss_D_fake 0.010524
[911/5000][80/535][93854] Loss_D: -0.021881 Loss_G: -0.006642 Loss_D_real: -0.007703 Loss_D_fake 0.014178
[911/5000][85/535][93855] Loss_D: -0.020842 Loss_G: -0.004815 Loss_D_real: -0.014233 Loss_D_fake 0.006609
[911/5000][90/535][93856] Loss_D: -0.022502 Loss_G: 0.017185 Loss_D_real: -0.022804 Loss_D_fake -0.000302
[911/5000][95/535][93857] Loss_D: -0.021778 Loss_G: -0.006295 Loss_D_real: -0.000990 Loss_D_fake 0.020788
[911/5000][100/535][93858] Loss_D: -0.022441 Loss_G: -0.006850 Loss_D_real: -0.001231 Loss_D_fake 0.021210
[911/5000][105/535][93859] Loss_D: -0.021571 Loss_G: 0.001449 Loss_D_real: -0.018068 Loss_D_fake 0.003503
[911/5000][110/535][93860] Loss_D: -0.023066 Loss_G: -0.002007 Loss_D_real: -0.016267 Loss_D_fake 0.006799
[911/5000][115/535][93861] Loss_D: -0.021070 Loss_G: 0.012181 Loss_D_real: -0.020681 Loss_D_fake 0.000389
[911/5000][120/535][93862] Loss_D: -0.022499 Loss_G: -0.000837 Loss_D_real: -0.011181 Loss_D_fake 0.011318
[911/5000][125/535][93863] Loss_D: -0.022241 Loss_G: -0.000225 Loss_D_real: -0.001283 Loss_D_fake 0.020958
[911/5000][130/535][93864] Loss_D: -0.020641 Loss_G: 0.033038 Loss_D_real: -0.033761 Loss_D_fake -0.013120
[911/5000][135/535][93865] Loss_D: -0.022846 Loss_G: -0.011650 Loss_D_real: -0.011942 Loss_D_fake 0.010904
[911/5000][140/535][93866] Loss_D: -0.022529 Loss_G: 0.014015 Loss_D_real: -0.028793 Loss_D_fake -0.006264
[911/5000][145/535][93867] Loss_D: -0.023483 Loss_G: 0.011123 Loss_D_real: -0.018602 Loss_D_fake 0.004880
[911/5000][150/535][93868] Loss_D: -0.021475 Loss_G: -0.001160 Loss_D_real: -0.016763 Loss_D_fake 0.004713
[911/5000][155/535][93869] Loss_D: -0.022358 Loss_G: 0.008576 Loss_D_real: -0.019894 Loss_D_fake 0.002464
[911/5000][160/535][93870] Loss_D: -0.022910 Loss_G: 0.000674 Loss_D_real: -0.026377 Loss_D_fake -0.003467
[911/5000][165/535][93871] Loss_D: -0.022374 Loss_G: 0.019706 Loss_D_real: -0.018196 Loss_D_fake 0.004178
[911/5000][170/535][93872] Loss_D: -0.022213 Loss_G: -0.004424 Loss_D_real: -0.013500 Loss_D_fake 0.008713
[911/5000][175/535][93873] Loss_D: -0.020560 Loss_G: 0.025349 Loss_D_real: -0.030129 Loss_D_fake -0.009569
[911/5000][180/535][93874] Loss_D: -0.022480 Loss_G: -0.002601 Loss_D_real: -0.006257 Loss_D_fake 0.016223
[911/5000][185/535][93875] Loss_D: -0.020793 Loss_G: -0.011049 Loss_D_real: 0.009760 Loss_D_fake 0.030553
[911/5000][190/535][93876] Loss_D: -0.023034 Loss_G: 0.022630 Loss_D_real: -0.022358 Loss_D_fake 0.000676
[911/5000][195/535][93877] Loss_D: -0.023179 Loss_G: 0.009702 Loss_D_real: -0.017707 Loss_D_fake 0.005472
[911/5000][200/535][93878] Loss_D: -0.022848 Loss_G: -0.001753 Loss_D_real: -0.011076 Loss_D_fake 0.011771
[911/5000][205/535][93879] Loss_D: -0.021146 Loss_G: -0.005402 Loss_D_real: -0.005165 Loss_D_fake 0.015981
[911/5000][210/535][93880] Loss_D: -0.022420 Loss_G: 0.003758 Loss_D_real: -0.019420 Loss_D_fake 0.003000
[911/5000][215/535][93881] Loss_D: -0.021362 Loss_G: 0.015567 Loss_D_real: -0.027406 Loss_D_fake -0.006044
[911/5000][220/535][93882] Loss_D: -0.022269 Loss_G: -0.001508 Loss_D_real: -0.006994 Loss_D_fake 0.015275
[911/5000][225/535][93883] Loss_D: -0.021448 Loss_G: 0.009370 Loss_D_real: -0.031056 Loss_D_fake -0.009608
[911/5000][230/535][93884] Loss_D: -0.022678 Loss_G: 0.005861 Loss_D_real: -0.018872 Loss_D_fake 0.003806
[911/5000][235/535][93885] Loss_D: -0.021356 Loss_G: 0.017382 Loss_D_real: -0.022156 Loss_D_fake -0.000800
[911/5000][240/535][93886] Loss_D: -0.022154 Loss_G: 0.009325 Loss_D_real: -0.028067 Loss_D_fake -0.005913
[911/5000][245/535][93887] Loss_D: -0.022054 Loss_G: 0.004290 Loss_D_real: -0.018859 Loss_D_fake 0.003195
[911/5000][250/535][93888] Loss_D: -0.023664 Loss_G: 0.018331 Loss_D_real: -0.021648 Loss_D_fake 0.002016
[911/5000][255/535][93889] Loss_D: -0.023235 Loss_G: 0.004361 Loss_D_real: -0.021288 Loss_D_fake 0.001947
[911/5000][260/535][93890] Loss_D: -0.022713 Loss_G: 0.010172 Loss_D_real: -0.026045 Loss_D_fake -0.003332
[911/5000][265/535][93891] Loss_D: -0.020791 Loss_G: 0.028438 Loss_D_real: -0.034328 Loss_D_fake -0.013537
[911/5000][270/535][93892] Loss_D: -0.021751 Loss_G: 0.010447 Loss_D_real: -0.022645 Loss_D_fake -0.000894
[911/5000][275/535][93893] Loss_D: -0.022571 Loss_G: 0.001715 Loss_D_real: -0.015777 Loss_D_fake 0.006794
[911/5000][280/535][93894] Loss_D: -0.022212 Loss_G: -0.000017 Loss_D_real: -0.002547 Loss_D_fake 0.019665
[911/5000][285/535][93895] Loss_D: -0.022860 Loss_G: 0.007674 Loss_D_real: -0.014532 Loss_D_fake 0.008327
[911/5000][290/535][93896] Loss_D: -0.023960 Loss_G: 0.012902 Loss_D_real: -0.023871 Loss_D_fake 0.000089
[911/5000][295/535][93897] Loss_D: -0.023138 Loss_G: 0.006196 Loss_D_real: -0.021390 Loss_D_fake 0.001748
[911/5000][300/535][93898] Loss_D: -0.022636 Loss_G: -0.003605 Loss_D_real: -0.015737 Loss_D_fake 0.006899
[911/5000][305/535][93899] Loss_D: -0.024308 Loss_G: 0.014062 Loss_D_real: -0.013131 Loss_D_fake 0.011177
[911/5000][310/535][93900] Loss_D: -0.023473 Loss_G: 0.006600 Loss_D_real: -0.016981 Loss_D_fake 0.006492
[911/5000][315/535][93901] Loss_D: -0.022538 Loss_G: 0.018397 Loss_D_real: -0.024781 Loss_D_fake -0.002243
[911/5000][320/535][93902] Loss_D: -0.022271 Loss_G: 0.003006 Loss_D_real: -0.024279 Loss_D_fake -0.002007
[911/5000][325/535][93903] Loss_D: -0.022687 Loss_G: 0.006820 Loss_D_real: -0.013956 Loss_D_fake 0.008731
[911/5000][330/535][93904] Loss_D: -0.022076 Loss_G: -0.005536 Loss_D_real: -0.017828 Loss_D_fake 0.004248
[911/5000][335/535][93905] Loss_D: -0.022330 Loss_G: 0.009409 Loss_D_real: -0.023024 Loss_D_fake -0.000695
[911/5000][340/535][93906] Loss_D: -0.022858 Loss_G: -0.015427 Loss_D_real: -0.011977 Loss_D_fake 0.010881
[911/5000][345/535][93907] Loss_D: -0.021961 Loss_G: 0.016782 Loss_D_real: -0.022570 Loss_D_fake -0.000609
[911/5000][350/535][93908] Loss_D: -0.021293 Loss_G: 0.001417 Loss_D_real: -0.005775 Loss_D_fake 0.015518
[911/5000][355/535][93909] Loss_D: -0.022311 Loss_G: -0.001876 Loss_D_real: -0.014111 Loss_D_fake 0.008199
[911/5000][360/535][93910] Loss_D: -0.020985 Loss_G: 0.015015 Loss_D_real: -0.030994 Loss_D_fake -0.010009
[911/5000][365/535][93911] Loss_D: -0.021743 Loss_G: -0.000031 Loss_D_real: -0.014179 Loss_D_fake 0.007564
[911/5000][370/535][93912] Loss_D: -0.022062 Loss_G: 0.012816 Loss_D_real: -0.031650 Loss_D_fake -0.009588
[911/5000][375/535][93913] Loss_D: -0.022774 Loss_G: 0.012366 Loss_D_real: -0.012206 Loss_D_fake 0.010568
[911/5000][380/535][93914] Loss_D: -0.023781 Loss_G: 0.008761 Loss_D_real: -0.020883 Loss_D_fake 0.002898
[911/5000][385/535][93915] Loss_D: -0.022694 Loss_G: -0.004908 Loss_D_real: -0.006280 Loss_D_fake 0.016414
[911/5000][390/535][93916] Loss_D: -0.022510 Loss_G: 0.023495 Loss_D_real: -0.015006 Loss_D_fake 0.007503
[911/5000][395/535][93917] Loss_D: -0.021514 Loss_G: -0.008100 Loss_D_real: -0.000644 Loss_D_fake 0.020870
[911/5000][400/535][93918] Loss_D: -0.020762 Loss_G: 0.026097 Loss_D_real: -0.032883 Loss_D_fake -0.012121
[911/5000][405/535][93919] Loss_D: -0.021524 Loss_G: 0.013842 Loss_D_real: -0.030961 Loss_D_fake -0.009437
[911/5000][410/535][93920] Loss_D: -0.021687 Loss_G: 0.008629 Loss_D_real: -0.012374 Loss_D_fake 0.009313
[911/5000][415/535][93921] Loss_D: -0.022625 Loss_G: -0.000092 Loss_D_real: -0.005774 Loss_D_fake 0.016852
[911/5000][420/535][93922] Loss_D: -0.022584 Loss_G: 0.016975 Loss_D_real: -0.025983 Loss_D_fake -0.003399
[911/5000][425/535][93923] Loss_D: -0.021113 Loss_G: -0.016729 Loss_D_real: 0.003725 Loss_D_fake 0.024838
[911/5000][430/535][93924] Loss_D: -0.022352 Loss_G: 0.018092 Loss_D_real: -0.033580 Loss_D_fake -0.011227
[911/5000][435/535][93925] Loss_D: -0.022449 Loss_G: -0.017393 Loss_D_real: -0.000102 Loss_D_fake 0.022347
[911/5000][440/535][93926] Loss_D: -0.021166 Loss_G: 0.031963 Loss_D_real: -0.026539 Loss_D_fake -0.005373
[911/5000][445/535][93927] Loss_D: -0.021014 Loss_G: -0.000647 Loss_D_real: -0.018969 Loss_D_fake 0.002045
[911/5000][450/535][93928] Loss_D: -0.021238 Loss_G: 0.002569 Loss_D_real: -0.022117 Loss_D_fake -0.000879
[911/5000][455/535][93929] Loss_D: -0.020867 Loss_G: 0.008527 Loss_D_real: -0.019214 Loss_D_fake 0.001653
[911/5000][460/535][93930] Loss_D: -0.022060 Loss_G: 0.004182 Loss_D_real: -0.024614 Loss_D_fake -0.002554
[911/5000][465/535][93931] Loss_D: -0.022283 Loss_G: 0.011214 Loss_D_real: -0.015525 Loss_D_fake 0.006758
[911/5000][470/535][93932] Loss_D: -0.019876 Loss_G: -0.014360 Loss_D_real: 0.005442 Loss_D_fake 0.025318
[911/5000][475/535][93933] Loss_D: -0.021156 Loss_G: -0.004256 Loss_D_real: -0.007968 Loss_D_fake 0.013188
[911/5000][480/535][93934] Loss_D: -0.021345 Loss_G: -0.004773 Loss_D_real: -0.008544 Loss_D_fake 0.012801
[911/5000][485/535][93935] Loss_D: -0.021418 Loss_G: 0.010799 Loss_D_real: -0.021798 Loss_D_fake -0.000381
[911/5000][490/535][93936] Loss_D: -0.022880 Loss_G: 0.004619 Loss_D_real: -0.013349 Loss_D_fake 0.009531
[911/5000][495/535][93937] Loss_D: -0.022020 Loss_G: -0.004004 Loss_D_real: 0.003182 Loss_D_fake 0.025202
[911/5000][500/535][93938] Loss_D: -0.022258 Loss_G: 0.010598 Loss_D_real: -0.025403 Loss_D_fake -0.003145
[911/5000][505/535][93939] Loss_D: -0.021801 Loss_G: -0.014337 Loss_D_real: 0.004617 Loss_D_fake 0.026418
[911/5000][510/535][93940] Loss_D: -0.023113 Loss_G: 0.012073 Loss_D_real: -0.023756 Loss_D_fake -0.000643
[911/5000][515/535][93941] Loss_D: -0.021552 Loss_G: 0.024847 Loss_D_real: -0.028533 Loss_D_fake -0.006981
[911/5000][520/535][93942] Loss_D: -0.022479 Loss_G: 0.013804 Loss_D_real: -0.031249 Loss_D_fake -0.008770
[911/5000][525/535][93943] Loss_D: -0.022966 Loss_G: -0.004652 Loss_D_real: -0.020436 Loss_D_fake 0.002530
[911/5000][530/535][93944] Loss_D: -0.021721 Loss_G: 0.023760 Loss_D_real: -0.029727 Loss_D_fake -0.008006
[911/5000][535/535][93945] Loss_D: -0.021286 Loss_G: 0.003285 Loss_D_real: -0.009405 Loss_D_fake 0.011881
[912/5000][5/535][93946] Loss_D: -0.022193 Loss_G: -0.012651 Loss_D_real: 0.003869 Loss_D_fake 0.026062
[912/5000][10/535][93947] Loss_D: -0.022258 Loss_G: 0.020068 Loss_D_real: -0.022879 Loss_D_fake -0.000620
[912/5000][15/535][93948] Loss_D: -0.021295 Loss_G: -0.012652 Loss_D_real: -0.005834 Loss_D_fake 0.015460
[912/5000][20/535][93949] Loss_D: -0.022706 Loss_G: 0.010829 Loss_D_real: -0.017110 Loss_D_fake 0.005596
[912/5000][25/535][93950] Loss_D: -0.023325 Loss_G: -0.002335 Loss_D_real: -0.006232 Loss_D_fake 0.017093
[912/5000][30/535][93951] Loss_D: -0.021767 Loss_G: -0.012117 Loss_D_real: -0.009925 Loss_D_fake 0.011841
[912/5000][35/535][93952] Loss_D: -0.022449 Loss_G: 0.013910 Loss_D_real: -0.022390 Loss_D_fake 0.000059
[912/5000][40/535][93953] Loss_D: -0.022097 Loss_G: 0.004571 Loss_D_real: -0.015277 Loss_D_fake 0.006820
[912/5000][45/535][93954] Loss_D: -0.022072 Loss_G: 0.025722 Loss_D_real: -0.024114 Loss_D_fake -0.002042
[912/5000][50/535][93955] Loss_D: -0.023519 Loss_G: -0.006446 Loss_D_real: -0.018441 Loss_D_fake 0.005078
[912/5000][55/535][93956] Loss_D: -0.022932 Loss_G: 0.007671 Loss_D_real: -0.015664 Loss_D_fake 0.007268
[912/5000][60/535][93957] Loss_D: -0.021968 Loss_G: 0.016672 Loss_D_real: -0.020149 Loss_D_fake 0.001819
[912/5000][65/535][93958] Loss_D: -0.022075 Loss_G: 0.012728 Loss_D_real: -0.014433 Loss_D_fake 0.007642
[912/5000][70/535][93959] Loss_D: -0.021687 Loss_G: 0.005475 Loss_D_real: -0.021789 Loss_D_fake -0.000101
[912/5000][75/535][93960] Loss_D: -0.022482 Loss_G: 0.000877 Loss_D_real: -0.005458 Loss_D_fake 0.017024
[912/5000][80/535][93961] Loss_D: -0.022695 Loss_G: 0.015514 Loss_D_real: -0.025323 Loss_D_fake -0.002627
[912/5000][85/535][93962] Loss_D: -0.022995 Loss_G: 0.014088 Loss_D_real: -0.018584 Loss_D_fake 0.004411
[912/5000][90/535][93963] Loss_D: -0.021960 Loss_G: 0.006257 Loss_D_real: -0.019290 Loss_D_fake 0.002671
[912/5000][95/535][93964] Loss_D: -0.021961 Loss_G: 0.006516 Loss_D_real: -0.023844 Loss_D_fake -0.001883
[912/5000][100/535][93965] Loss_D: -0.022428 Loss_G: 0.002739 Loss_D_real: -0.020872 Loss_D_fake 0.001556
[912/5000][105/535][93966] Loss_D: -0.021471 Loss_G: -0.019882 Loss_D_real: -0.005483 Loss_D_fake 0.015988
[912/5000][110/535][93967] Loss_D: -0.021404 Loss_G: 0.003592 Loss_D_real: -0.014682 Loss_D_fake 0.006722
[912/5000][115/535][93968] Loss_D: -0.021020 Loss_G: 0.022006 Loss_D_real: -0.020684 Loss_D_fake 0.000335
[912/5000][120/535][93969] Loss_D: -0.022314 Loss_G: 0.011744 Loss_D_real: -0.026435 Loss_D_fake -0.004121
[912/5000][125/535][93970] Loss_D: -0.021365 Loss_G: -0.014274 Loss_D_real: -0.001392 Loss_D_fake 0.019974
[912/5000][130/535][93971] Loss_D: -0.022141 Loss_G: 0.022589 Loss_D_real: -0.025574 Loss_D_fake -0.003433
[912/5000][135/535][93972] Loss_D: -0.021672 Loss_G: -0.000434 Loss_D_real: -0.019668 Loss_D_fake 0.002004
[912/5000][140/535][93973] Loss_D: -0.022759 Loss_G: 0.002222 Loss_D_real: -0.013303 Loss_D_fake 0.009456
[912/5000][145/535][93974] Loss_D: -0.022689 Loss_G: 0.008243 Loss_D_real: -0.015883 Loss_D_fake 0.006806
[912/5000][150/535][93975] Loss_D: -0.021617 Loss_G: 0.004931 Loss_D_real: -0.013615 Loss_D_fake 0.008002
[912/5000][155/535][93976] Loss_D: -0.021693 Loss_G: 0.011783 Loss_D_real: -0.019740 Loss_D_fake 0.001953
[912/5000][160/535][93977] Loss_D: -0.022028 Loss_G: 0.003609 Loss_D_real: -0.009012 Loss_D_fake 0.013015
[912/5000][165/535][93978] Loss_D: -0.022363 Loss_G: 0.017027 Loss_D_real: -0.025396 Loss_D_fake -0.003033
[912/5000][170/535][93979] Loss_D: -0.023375 Loss_G: 0.008124 Loss_D_real: -0.010310 Loss_D_fake 0.013065
[912/5000][175/535][93980] Loss_D: -0.023113 Loss_G: 0.017800 Loss_D_real: -0.023477 Loss_D_fake -0.000364
[912/5000][180/535][93981] Loss_D: -0.023313 Loss_G: 0.017875 Loss_D_real: -0.018574 Loss_D_fake 0.004740
[912/5000][185/535][93982] Loss_D: -0.024080 Loss_G: 0.007707 Loss_D_real: -0.020902 Loss_D_fake 0.003178
[912/5000][190/535][93983] Loss_D: -0.022706 Loss_G: 0.004143 Loss_D_real: -0.005828 Loss_D_fake 0.016878
[912/5000][195/535][93984] Loss_D: -0.023204 Loss_G: -0.010850 Loss_D_real: -0.015668 Loss_D_fake 0.007536
[912/5000][200/535][93985] Loss_D: -0.022824 Loss_G: 0.007840 Loss_D_real: -0.033423 Loss_D_fake -0.010599
[912/5000][205/535][93986] Loss_D: -0.022545 Loss_G: 0.000614 Loss_D_real: -0.016786 Loss_D_fake 0.005759
[912/5000][210/535][93987] Loss_D: -0.023117 Loss_G: -0.005785 Loss_D_real: -0.006096 Loss_D_fake 0.017021
[912/5000][215/535][93988] Loss_D: -0.022208 Loss_G: -0.002209 Loss_D_real: -0.014440 Loss_D_fake 0.007768
[912/5000][220/535][93989] Loss_D: -0.019958 Loss_G: 0.027411 Loss_D_real: -0.035683 Loss_D_fake -0.015725
[912/5000][225/535][93990] Loss_D: -0.021977 Loss_G: -0.009246 Loss_D_real: 0.000631 Loss_D_fake 0.022608
[912/5000][230/535][93991] Loss_D: -0.022858 Loss_G: 0.010965 Loss_D_real: -0.026551 Loss_D_fake -0.003693
[912/5000][235/535][93992] Loss_D: -0.023114 Loss_G: 0.021371 Loss_D_real: -0.027782 Loss_D_fake -0.004669
[912/5000][240/535][93993] Loss_D: -0.022694 Loss_G: 0.009367 Loss_D_real: -0.021140 Loss_D_fake 0.001555
[912/5000][245/535][93994] Loss_D: -0.023621 Loss_G: 0.019346 Loss_D_real: -0.024052 Loss_D_fake -0.000430
[912/5000][250/535][93995] Loss_D: -0.022616 Loss_G: 0.009658 Loss_D_real: -0.016101 Loss_D_fake 0.006515
[912/5000][255/535][93996] Loss_D: -0.022921 Loss_G: 0.014051 Loss_D_real: -0.014572 Loss_D_fake 0.008349
[912/5000][260/535][93997] Loss_D: -0.022987 Loss_G: 0.000280 Loss_D_real: -0.014621 Loss_D_fake 0.008366
[912/5000][265/535][93998] Loss_D: -0.022148 Loss_G: 0.004983 Loss_D_real: -0.016990 Loss_D_fake 0.005159
[912/5000][270/535][93999] Loss_D: -0.022096 Loss_G: -0.007728 Loss_D_real: -0.001026 Loss_D_fake 0.021070
[912/5000][275/535][94000] Loss_D: -0.021995 Loss_G: 0.011946 Loss_D_real: -0.021354 Loss_D_fake 0.000640
[912/5000][375/535][94001] Loss_D: -0.025686 Loss_G: -0.002332 Loss_D_real: -0.006229 Loss_D_fake 0.019458
[912/5000][380/535][94002] Loss_D: -0.020851 Loss_G: 0.017397 Loss_D_real: -0.009941 Loss_D_fake 0.010909
[912/5000][385/535][94003] Loss_D: -0.021733 Loss_G: 0.014851 Loss_D_real: -0.017197 Loss_D_fake 0.004536
[912/5000][390/535][94004] Loss_D: -0.020653 Loss_G: 0.011223 Loss_D_real: -0.026542 Loss_D_fake -0.005889
[912/5000][395/535][94005] Loss_D: -0.020638 Loss_G: 0.005719 Loss_D_real: -0.018499 Loss_D_fake 0.002139
[912/5000][400/535][94006] Loss_D: -0.021713 Loss_G: 0.011069 Loss_D_real: -0.022851 Loss_D_fake -0.001138
[912/5000][405/535][94007] Loss_D: -0.023054 Loss_G: 0.009072 Loss_D_real: -0.014415 Loss_D_fake 0.008639
[912/5000][410/535][94008] Loss_D: -0.022312 Loss_G: 0.002155 Loss_D_real: -0.016432 Loss_D_fake 0.005880
[912/5000][415/535][94009] Loss_D: -0.022138 Loss_G: 0.003697 Loss_D_real: -0.011892 Loss_D_fake 0.010246
[912/5000][420/535][94010] Loss_D: -0.022170 Loss_G: -0.007261 Loss_D_real: -0.017205 Loss_D_fake 0.004964
[912/5000][425/535][94011] Loss_D: -0.020956 Loss_G: 0.010804 Loss_D_real: -0.025743 Loss_D_fake -0.004787
[912/5000][430/535][94012] Loss_D: -0.021621 Loss_G: 0.000397 Loss_D_real: -0.009410 Loss_D_fake 0.012211
[912/5000][435/535][94013] Loss_D: -0.021831 Loss_G: -0.003104 Loss_D_real: -0.014743 Loss_D_fake 0.007088
[912/5000][440/535][94014] Loss_D: -0.022143 Loss_G: 0.024404 Loss_D_real: -0.029970 Loss_D_fake -0.007827
[912/5000][445/535][94015] Loss_D: -0.022361 Loss_G: 0.013850 Loss_D_real: -0.028701 Loss_D_fake -0.006340
[912/5000][450/535][94016] Loss_D: -0.023159 Loss_G: -0.000909 Loss_D_real: -0.015358 Loss_D_fake 0.007802
[912/5000][455/535][94017] Loss_D: -0.022032 Loss_G: -0.001101 Loss_D_real: -0.005088 Loss_D_fake 0.016944
[912/5000][460/535][94018] Loss_D: -0.021970 Loss_G: 0.001901 Loss_D_real: -0.012270 Loss_D_fake 0.009699
[912/5000][465/535][94019] Loss_D: -0.022371 Loss_G: 0.016857 Loss_D_real: -0.027540 Loss_D_fake -0.005168
[912/5000][470/535][94020] Loss_D: -0.021970 Loss_G: 0.017418 Loss_D_real: -0.035826 Loss_D_fake -0.013856
[912/5000][475/535][94021] Loss_D: -0.023949 Loss_G: 0.004889 Loss_D_real: -0.024259 Loss_D_fake -0.000311
[912/5000][480/535][94022] Loss_D: -0.022820 Loss_G: -0.016819 Loss_D_real: -0.009016 Loss_D_fake 0.013804
[912/5000][485/535][94023] Loss_D: -0.021533 Loss_G: 0.022717 Loss_D_real: -0.022944 Loss_D_fake -0.001410
[912/5000][490/535][94024] Loss_D: -0.020546 Loss_G: -0.003175 Loss_D_real: -0.009804 Loss_D_fake 0.010743
[912/5000][495/535][94025] Loss_D: -0.021727 Loss_G: 0.001892 Loss_D_real: -0.016974 Loss_D_fake 0.004753
[912/5000][500/535][94026] Loss_D: -0.023253 Loss_G: -0.000262 Loss_D_real: -0.010768 Loss_D_fake 0.012485
[912/5000][505/535][94027] Loss_D: -0.023016 Loss_G: 0.013993 Loss_D_real: -0.015916 Loss_D_fake 0.007100
[912/5000][510/535][94028] Loss_D: -0.022108 Loss_G: 0.020997 Loss_D_real: -0.018824 Loss_D_fake 0.003284
[912/5000][515/535][94029] Loss_D: -0.021229 Loss_G: 0.031746 Loss_D_real: -0.036273 Loss_D_fake -0.015044
[912/5000][520/535][94030] Loss_D: -0.023256 Loss_G: -0.000198 Loss_D_real: -0.013686 Loss_D_fake 0.009570
[912/5000][525/535][94031] Loss_D: -0.021097 Loss_G: -0.003188 Loss_D_real: -0.005743 Loss_D_fake 0.015354
[912/5000][530/535][94032] Loss_D: -0.021410 Loss_G: 0.002747 Loss_D_real: -0.012351 Loss_D_fake 0.009058
[912/5000][535/535][94033] Loss_D: -0.023148 Loss_G: -0.018122 Loss_D_real: -0.024551 Loss_D_fake -0.001403
[913/5000][5/535][94034] Loss_D: -0.021646 Loss_G: 0.033845 Loss_D_real: -0.027611 Loss_D_fake -0.005965
[913/5000][10/535][94035] Loss_D: -0.021384 Loss_G: -0.008678 Loss_D_real: -0.012345 Loss_D_fake 0.009039
[913/5000][15/535][94036] Loss_D: -0.021595 Loss_G: -0.002556 Loss_D_real: -0.012850 Loss_D_fake 0.008745
[913/5000][20/535][94037] Loss_D: -0.021623 Loss_G: 0.015404 Loss_D_real: -0.024800 Loss_D_fake -0.003177
[913/5000][25/535][94038] Loss_D: -0.020701 Loss_G: 0.026807 Loss_D_real: -0.019627 Loss_D_fake 0.001074
[913/5000][30/535][94039] Loss_D: -0.023333 Loss_G: -0.014030 Loss_D_real: -0.010503 Loss_D_fake 0.012830
[913/5000][35/535][94040] Loss_D: -0.022234 Loss_G: -0.006964 Loss_D_real: -0.018033 Loss_D_fake 0.004201
[913/5000][40/535][94041] Loss_D: -0.022638 Loss_G: 0.015139 Loss_D_real: -0.014398 Loss_D_fake 0.008240
[913/5000][45/535][94042] Loss_D: -0.020286 Loss_G: 0.019779 Loss_D_real: -0.035845 Loss_D_fake -0.015559
[913/5000][50/535][94043] Loss_D: -0.023240 Loss_G: 0.013994 Loss_D_real: -0.019177 Loss_D_fake 0.004063
[913/5000][55/535][94044] Loss_D: -0.023743 Loss_G: 0.015449 Loss_D_real: -0.023525 Loss_D_fake 0.000218
[913/5000][60/535][94045] Loss_D: -0.021867 Loss_G: 0.025546 Loss_D_real: -0.040208 Loss_D_fake -0.018341
[913/5000][65/535][94046] Loss_D: -0.021573 Loss_G: 0.019371 Loss_D_real: -0.027387 Loss_D_fake -0.005814
[913/5000][70/535][94047] Loss_D: -0.023724 Loss_G: -0.000238 Loss_D_real: -0.023246 Loss_D_fake 0.000479
[913/5000][75/535][94048] Loss_D: -0.023196 Loss_G: 0.004756 Loss_D_real: -0.020708 Loss_D_fake 0.002488
[913/5000][80/535][94049] Loss_D: -0.022340 Loss_G: -0.006696 Loss_D_real: -0.007977 Loss_D_fake 0.014362
[913/5000][85/535][94050] Loss_D: -0.022753 Loss_G: 0.010733 Loss_D_real: -0.014657 Loss_D_fake 0.008096
[913/5000][90/535][94051] Loss_D: -0.023011 Loss_G: 0.008825 Loss_D_real: -0.026652 Loss_D_fake -0.003641
[913/5000][95/535][94052] Loss_D: -0.023096 Loss_G: 0.005586 Loss_D_real: -0.005798 Loss_D_fake 0.017298
[913/5000][100/535][94053] Loss_D: -0.021837 Loss_G: 0.014709 Loss_D_real: -0.024791 Loss_D_fake -0.002954
[913/5000][105/535][94054] Loss_D: -0.023481 Loss_G: 0.000378 Loss_D_real: -0.018451 Loss_D_fake 0.005030
[913/5000][110/535][94055] Loss_D: -0.023322 Loss_G: 0.014454 Loss_D_real: -0.022132 Loss_D_fake 0.001190
[913/5000][115/535][94056] Loss_D: -0.023718 Loss_G: 0.012494 Loss_D_real: -0.025344 Loss_D_fake -0.001626
[913/5000][120/535][94057] Loss_D: -0.023272 Loss_G: -0.001353 Loss_D_real: -0.011400 Loss_D_fake 0.011872
[913/5000][125/535][94058] Loss_D: -0.023394 Loss_G: 0.012327 Loss_D_real: -0.024272 Loss_D_fake -0.000878
[913/5000][130/535][94059] Loss_D: -0.023262 Loss_G: 0.013301 Loss_D_real: -0.018044 Loss_D_fake 0.005218
[913/5000][135/535][94060] Loss_D: -0.023916 Loss_G: -0.007011 Loss_D_real: -0.013444 Loss_D_fake 0.010471
[913/5000][140/535][94061] Loss_D: -0.021911 Loss_G: 0.001616 Loss_D_real: -0.018530 Loss_D_fake 0.003381
[913/5000][145/535][94062] Loss_D: -0.023064 Loss_G: 0.016990 Loss_D_real: -0.027821 Loss_D_fake -0.004757
[913/5000][150/535][94063] Loss_D: -0.022599 Loss_G: 0.016718 Loss_D_real: -0.019949 Loss_D_fake 0.002651
[913/5000][155/535][94064] Loss_D: -0.022702 Loss_G: 0.008136 Loss_D_real: -0.012456 Loss_D_fake 0.010246
[913/5000][160/535][94065] Loss_D: -0.022876 Loss_G: 0.015179 Loss_D_real: -0.018278 Loss_D_fake 0.004597
[913/5000][165/535][94066] Loss_D: -0.022330 Loss_G: 0.006101 Loss_D_real: -0.010132 Loss_D_fake 0.012198
[913/5000][170/535][94067] Loss_D: -0.023266 Loss_G: 0.006011 Loss_D_real: -0.019913 Loss_D_fake 0.003353
[913/5000][175/535][94068] Loss_D: -0.021755 Loss_G: 0.010211 Loss_D_real: -0.030591 Loss_D_fake -0.008837
[913/5000][180/535][94069] Loss_D: -0.021081 Loss_G: 0.017291 Loss_D_real: -0.023531 Loss_D_fake -0.002450
[913/5000][185/535][94070] Loss_D: -0.021987 Loss_G: 0.013902 Loss_D_real: -0.019175 Loss_D_fake 0.002812
[913/5000][190/535][94071] Loss_D: -0.021914 Loss_G: -0.003243 Loss_D_real: -0.009121 Loss_D_fake 0.012792
[913/5000][195/535][94072] Loss_D: -0.022049 Loss_G: 0.009711 Loss_D_real: -0.019749 Loss_D_fake 0.002300
[913/5000][200/535][94073] Loss_D: -0.022343 Loss_G: 0.015155 Loss_D_real: -0.025008 Loss_D_fake -0.002665
[913/5000][205/535][94074] Loss_D: -0.022431 Loss_G: 0.000383 Loss_D_real: -0.012518 Loss_D_fake 0.009913
[913/5000][210/535][94075] Loss_D: -0.021934 Loss_G: 0.011320 Loss_D_real: -0.020503 Loss_D_fake 0.001431
[913/5000][215/535][94076] Loss_D: -0.021684 Loss_G: 0.008846 Loss_D_real: -0.029311 Loss_D_fake -0.007627
[913/5000][220/535][94077] Loss_D: -0.020465 Loss_G: 0.014570 Loss_D_real: -0.037129 Loss_D_fake -0.016665
[913/5000][225/535][94078] Loss_D: -0.022661 Loss_G: -0.003238 Loss_D_real: -0.007457 Loss_D_fake 0.015204
[913/5000][230/535][94079] Loss_D: -0.021343 Loss_G: 0.032654 Loss_D_real: -0.040153 Loss_D_fake -0.018810
[913/5000][235/535][94080] Loss_D: -0.022301 Loss_G: -0.009852 Loss_D_real: -0.007247 Loss_D_fake 0.015054
[913/5000][240/535][94081] Loss_D: -0.021593 Loss_G: 0.014035 Loss_D_real: -0.026358 Loss_D_fake -0.004765
[913/5000][245/535][94082] Loss_D: -0.022899 Loss_G: -0.002011 Loss_D_real: -0.021678 Loss_D_fake 0.001221
[913/5000][250/535][94083] Loss_D: -0.022900 Loss_G: 0.010915 Loss_D_real: -0.021661 Loss_D_fake 0.001239
[913/5000][255/535][94084] Loss_D: -0.022414 Loss_G: 0.006728 Loss_D_real: -0.011857 Loss_D_fake 0.010557
[913/5000][260/535][94085] Loss_D: -0.022660 Loss_G: 0.014693 Loss_D_real: -0.016978 Loss_D_fake 0.005683
[913/5000][265/535][94086] Loss_D: -0.022238 Loss_G: 0.001256 Loss_D_real: -0.013760 Loss_D_fake 0.008478
[913/5000][270/535][94087] Loss_D: -0.021802 Loss_G: 0.028278 Loss_D_real: -0.038108 Loss_D_fake -0.016305
[913/5000][275/535][94088] Loss_D: -0.023652 Loss_G: 0.019610 Loss_D_real: -0.031809 Loss_D_fake -0.008157
[913/5000][280/535][94089] Loss_D: -0.021596 Loss_G: 0.004651 Loss_D_real: -0.027494 Loss_D_fake -0.005899
[913/5000][285/535][94090] Loss_D: -0.023485 Loss_G: 0.016782 Loss_D_real: -0.037781 Loss_D_fake -0.014296
[913/5000][290/535][94091] Loss_D: -0.022648 Loss_G: 0.013186 Loss_D_real: -0.015611 Loss_D_fake 0.007037
[913/5000][295/535][94092] Loss_D: -0.022016 Loss_G: 0.017965 Loss_D_real: -0.022516 Loss_D_fake -0.000500
[913/5000][300/535][94093] Loss_D: -0.022592 Loss_G: 0.000924 Loss_D_real: -0.014515 Loss_D_fake 0.008077
[913/5000][305/535][94094] Loss_D: -0.023313 Loss_G: 0.017323 Loss_D_real: -0.023058 Loss_D_fake 0.000255
[913/5000][310/535][94095] Loss_D: -0.022763 Loss_G: -0.004060 Loss_D_real: -0.010871 Loss_D_fake 0.011892
[913/5000][315/535][94096] Loss_D: -0.020861 Loss_G: -0.009839 Loss_D_real: 0.000315 Loss_D_fake 0.021176
[913/5000][320/535][94097] Loss_D: -0.020770 Loss_G: 0.022342 Loss_D_real: -0.027504 Loss_D_fake -0.006734
[913/5000][325/535][94098] Loss_D: -0.022242 Loss_G: 0.000800 Loss_D_real: -0.021231 Loss_D_fake 0.001010
[913/5000][330/535][94099] Loss_D: -0.021377 Loss_G: 0.016252 Loss_D_real: -0.032859 Loss_D_fake -0.011482
[913/5000][335/535][94100] Loss_D: -0.022579 Loss_G: 0.015712 Loss_D_real: -0.025304 Loss_D_fake -0.002725
[913/5000][340/535][94101] Loss_D: -0.022604 Loss_G: 0.003497 Loss_D_real: -0.019643 Loss_D_fake 0.002961
[913/5000][345/535][94102] Loss_D: -0.022275 Loss_G: 0.010275 Loss_D_real: -0.024891 Loss_D_fake -0.002616
[913/5000][350/535][94103] Loss_D: -0.022758 Loss_G: 0.000118 Loss_D_real: -0.007742 Loss_D_fake 0.015016
[913/5000][355/535][94104] Loss_D: -0.020850 Loss_G: -0.011227 Loss_D_real: -0.004085 Loss_D_fake 0.016765
[913/5000][360/535][94105] Loss_D: -0.021245 Loss_G: 0.019176 Loss_D_real: -0.030381 Loss_D_fake -0.009136
[913/5000][365/535][94106] Loss_D: -0.022583 Loss_G: -0.005327 Loss_D_real: -0.021567 Loss_D_fake 0.001015
[913/5000][370/535][94107] Loss_D: -0.021970 Loss_G: 0.018263 Loss_D_real: -0.024797 Loss_D_fake -0.002827
[913/5000][375/535][94108] Loss_D: -0.022060 Loss_G: -0.001021 Loss_D_real: -0.016318 Loss_D_fake 0.005742
[913/5000][380/535][94109] Loss_D: -0.023417 Loss_G: 0.020319 Loss_D_real: -0.024552 Loss_D_fake -0.001135
[913/5000][385/535][94110] Loss_D: -0.021875 Loss_G: 0.006973 Loss_D_real: -0.014579 Loss_D_fake 0.007296
[913/5000][390/535][94111] Loss_D: -0.022925 Loss_G: 0.000551 Loss_D_real: -0.010713 Loss_D_fake 0.012213
[913/5000][395/535][94112] Loss_D: -0.022507 Loss_G: 0.015708 Loss_D_real: -0.026686 Loss_D_fake -0.004179
[913/5000][400/535][94113] Loss_D: -0.022526 Loss_G: -0.002639 Loss_D_real: -0.005261 Loss_D_fake 0.017265
[913/5000][405/535][94114] Loss_D: -0.022401 Loss_G: 0.008605 Loss_D_real: -0.013335 Loss_D_fake 0.009065
[913/5000][410/535][94115] Loss_D: -0.022115 Loss_G: -0.006571 Loss_D_real: -0.004304 Loss_D_fake 0.017811
[913/5000][415/535][94116] Loss_D: -0.021632 Loss_G: 0.030032 Loss_D_real: -0.030565 Loss_D_fake -0.008933
[913/5000][420/535][94117] Loss_D: -0.020980 Loss_G: 0.002504 Loss_D_real: -0.015987 Loss_D_fake 0.004993
[913/5000][425/535][94118] Loss_D: -0.022265 Loss_G: 0.006791 Loss_D_real: -0.010913 Loss_D_fake 0.011352
[913/5000][430/535][94119] Loss_D: -0.023044 Loss_G: 0.008728 Loss_D_real: -0.020945 Loss_D_fake 0.002099
[913/5000][435/535][94120] Loss_D: -0.022495 Loss_G: 0.012881 Loss_D_real: -0.011618 Loss_D_fake 0.010877
[913/5000][440/535][94121] Loss_D: -0.020801 Loss_G: -0.016901 Loss_D_real: -0.006057 Loss_D_fake 0.014744
[913/5000][445/535][94122] Loss_D: -0.021944 Loss_G: 0.005640 Loss_D_real: -0.027619 Loss_D_fake -0.005675
[913/5000][450/535][94123] Loss_D: -0.023299 Loss_G: 0.009174 Loss_D_real: -0.014034 Loss_D_fake 0.009265
[913/5000][455/535][94124] Loss_D: -0.022730 Loss_G: 0.016836 Loss_D_real: -0.017025 Loss_D_fake 0.005705
[913/5000][460/535][94125] Loss_D: -0.021732 Loss_G: 0.010529 Loss_D_real: -0.021709 Loss_D_fake 0.000024
[913/5000][465/535][94126] Loss_D: -0.022441 Loss_G: -0.001052 Loss_D_real: -0.010026 Loss_D_fake 0.012414
[913/5000][470/535][94127] Loss_D: -0.021572 Loss_G: 0.017832 Loss_D_real: -0.030634 Loss_D_fake -0.009062
[913/5000][475/535][94128] Loss_D: -0.021742 Loss_G: 0.009607 Loss_D_real: -0.012964 Loss_D_fake 0.008777
[913/5000][480/535][94129] Loss_D: -0.021625 Loss_G: -0.011577 Loss_D_real: 0.001145 Loss_D_fake 0.022769
[913/5000][485/535][94130] Loss_D: -0.022059 Loss_G: 0.011680 Loss_D_real: -0.017051 Loss_D_fake 0.005007
[913/5000][490/535][94131] Loss_D: -0.022641 Loss_G: -0.003056 Loss_D_real: -0.010257 Loss_D_fake 0.012384
[913/5000][495/535][94132] Loss_D: -0.022392 Loss_G: 0.015656 Loss_D_real: -0.013241 Loss_D_fake 0.009151
[913/5000][500/535][94133] Loss_D: -0.022260 Loss_G: 0.018309 Loss_D_real: -0.020007 Loss_D_fake 0.002253
[913/5000][505/535][94134] Loss_D: -0.021909 Loss_G: 0.011030 Loss_D_real: -0.019773 Loss_D_fake 0.002136
[913/5000][510/535][94135] Loss_D: -0.021264 Loss_G: 0.008807 Loss_D_real: -0.026957 Loss_D_fake -0.005693
[913/5000][515/535][94136] Loss_D: -0.024428 Loss_G: 0.016747 Loss_D_real: -0.022523 Loss_D_fake 0.001905
[913/5000][520/535][94137] Loss_D: -0.022497 Loss_G: 0.025728 Loss_D_real: -0.021036 Loss_D_fake 0.001461
[913/5000][525/535][94138] Loss_D: -0.022845 Loss_G: 0.011562 Loss_D_real: -0.022959 Loss_D_fake -0.000114
[913/5000][530/535][94139] Loss_D: -0.023019 Loss_G: -0.006395 Loss_D_real: -0.015938 Loss_D_fake 0.007080
[913/5000][535/535][94140] Loss_D: -0.022003 Loss_G: -0.006419 Loss_D_real: -0.026611 Loss_D_fake -0.004608
[914/5000][5/535][94141] Loss_D: -0.022037 Loss_G: 0.008358 Loss_D_real: -0.009796 Loss_D_fake 0.012241
[914/5000][10/535][94142] Loss_D: -0.022271 Loss_G: 0.023041 Loss_D_real: -0.021777 Loss_D_fake 0.000494
[914/5000][15/535][94143] Loss_D: -0.022760 Loss_G: -0.008751 Loss_D_real: -0.010031 Loss_D_fake 0.012728
[914/5000][20/535][94144] Loss_D: -0.022816 Loss_G: 0.005032 Loss_D_real: -0.009345 Loss_D_fake 0.013471
[914/5000][25/535][94145] Loss_D: -0.022711 Loss_G: 0.004402 Loss_D_real: -0.014260 Loss_D_fake 0.008451
[914/5000][30/535][94146] Loss_D: -0.023337 Loss_G: 0.012061 Loss_D_real: -0.016785 Loss_D_fake 0.006552
[914/5000][35/535][94147] Loss_D: -0.021900 Loss_G: 0.017676 Loss_D_real: -0.014830 Loss_D_fake 0.007071
[914/5000][40/535][94148] Loss_D: -0.022252 Loss_G: -0.013530 Loss_D_real: -0.002567 Loss_D_fake 0.019685
[914/5000][45/535][94149] Loss_D: -0.021428 Loss_G: 0.014054 Loss_D_real: -0.022602 Loss_D_fake -0.001174
[914/5000][50/535][94150] Loss_D: -0.021153 Loss_G: 0.018744 Loss_D_real: -0.031240 Loss_D_fake -0.010087
[914/5000][55/535][94151] Loss_D: -0.021732 Loss_G: 0.012732 Loss_D_real: -0.038110 Loss_D_fake -0.016378
[914/5000][60/535][94152] Loss_D: -0.022684 Loss_G: 0.021643 Loss_D_real: -0.035957 Loss_D_fake -0.013273
[914/5000][65/535][94153] Loss_D: -0.022542 Loss_G: -0.007879 Loss_D_real: -0.004335 Loss_D_fake 0.018206
[914/5000][70/535][94154] Loss_D: -0.021950 Loss_G: 0.017334 Loss_D_real: -0.021102 Loss_D_fake 0.000847
[914/5000][75/535][94155] Loss_D: -0.021956 Loss_G: 0.016669 Loss_D_real: -0.021183 Loss_D_fake 0.000774
[914/5000][80/535][94156] Loss_D: -0.022535 Loss_G: -0.000861 Loss_D_real: -0.013498 Loss_D_fake 0.009037
[914/5000][85/535][94157] Loss_D: -0.022134 Loss_G: 0.026410 Loss_D_real: -0.025513 Loss_D_fake -0.003379
[914/5000][90/535][94158] Loss_D: -0.021695 Loss_G: -0.011588 Loss_D_real: -0.002214 Loss_D_fake 0.019481
[914/5000][95/535][94159] Loss_D: -0.022223 Loss_G: 0.022004 Loss_D_real: -0.031743 Loss_D_fake -0.009520
[914/5000][100/535][94160] Loss_D: -0.021592 Loss_G: 0.019657 Loss_D_real: -0.026763 Loss_D_fake -0.005171
[914/5000][105/535][94161] Loss_D: -0.021962 Loss_G: 0.023156 Loss_D_real: -0.019420 Loss_D_fake 0.002541
[914/5000][110/535][94162] Loss_D: -0.022309 Loss_G: -0.002601 Loss_D_real: -0.009476 Loss_D_fake 0.012832
[914/5000][115/535][94163] Loss_D: -0.023271 Loss_G: -0.006553 Loss_D_real: -0.013439 Loss_D_fake 0.009832
[914/5000][120/535][94164] Loss_D: -0.023462 Loss_G: 0.018303 Loss_D_real: -0.015000 Loss_D_fake 0.008461
[914/5000][125/535][94165] Loss_D: -0.023336 Loss_G: 0.007491 Loss_D_real: -0.020560 Loss_D_fake 0.002777
[914/5000][130/535][94166] Loss_D: -0.022899 Loss_G: 0.006690 Loss_D_real: -0.015377 Loss_D_fake 0.007522
[914/5000][135/535][94167] Loss_D: -0.022252 Loss_G: 0.004393 Loss_D_real: -0.004278 Loss_D_fake 0.017974
[914/5000][140/535][94168] Loss_D: -0.021685 Loss_G: 0.016680 Loss_D_real: -0.032430 Loss_D_fake -0.010745
[914/5000][145/535][94169] Loss_D: -0.021965 Loss_G: 0.016715 Loss_D_real: -0.028469 Loss_D_fake -0.006503
[914/5000][150/535][94170] Loss_D: -0.022506 Loss_G: 0.012256 Loss_D_real: -0.023116 Loss_D_fake -0.000610
[914/5000][155/535][94171] Loss_D: -0.023012 Loss_G: -0.000766 Loss_D_real: -0.005646 Loss_D_fake 0.017366
[914/5000][160/535][94172] Loss_D: -0.024056 Loss_G: 0.020100 Loss_D_real: -0.023427 Loss_D_fake 0.000629
[914/5000][165/535][94173] Loss_D: -0.022386 Loss_G: 0.003465 Loss_D_real: -0.024725 Loss_D_fake -0.002339
[914/5000][170/535][94174] Loss_D: -0.023349 Loss_G: 0.004455 Loss_D_real: -0.022054 Loss_D_fake 0.001295
[914/5000][175/535][94175] Loss_D: -0.022146 Loss_G: 0.000540 Loss_D_real: -0.011268 Loss_D_fake 0.010878
[914/5000][180/535][94176] Loss_D: -0.021027 Loss_G: 0.019694 Loss_D_real: -0.038758 Loss_D_fake -0.017731
[914/5000][185/535][94177] Loss_D: -0.021417 Loss_G: -0.010984 Loss_D_real: 0.003872 Loss_D_fake 0.025289
[914/5000][190/535][94178] Loss_D: -0.022858 Loss_G: 0.022785 Loss_D_real: -0.016168 Loss_D_fake 0.006691
[914/5000][195/535][94179] Loss_D: -0.022318 Loss_G: 0.000095 Loss_D_real: -0.008413 Loss_D_fake 0.013905
[914/5000][200/535][94180] Loss_D: -0.022030 Loss_G: 0.014161 Loss_D_real: -0.028952 Loss_D_fake -0.006922
[914/5000][205/535][94181] Loss_D: -0.021596 Loss_G: 0.004220 Loss_D_real: -0.020428 Loss_D_fake 0.001168
[914/5000][210/535][94182] Loss_D: -0.022814 Loss_G: 0.011448 Loss_D_real: -0.009165 Loss_D_fake 0.013649
[914/5000][215/535][94183] Loss_D: -0.022169 Loss_G: 0.005165 Loss_D_real: -0.025171 Loss_D_fake -0.003002
[914/5000][220/535][94184] Loss_D: -0.022304 Loss_G: 0.021231 Loss_D_real: -0.028035 Loss_D_fake -0.005732
[914/5000][225/535][94185] Loss_D: -0.022974 Loss_G: 0.016584 Loss_D_real: -0.029596 Loss_D_fake -0.006621
[914/5000][230/535][94186] Loss_D: -0.021959 Loss_G: 0.023239 Loss_D_real: -0.034382 Loss_D_fake -0.012423
[914/5000][235/535][94187] Loss_D: -0.021748 Loss_G: -0.003590 Loss_D_real: -0.004141 Loss_D_fake 0.017607
[914/5000][240/535][94188] Loss_D: -0.022091 Loss_G: 0.022441 Loss_D_real: -0.022265 Loss_D_fake -0.000174
[914/5000][245/535][94189] Loss_D: -0.023051 Loss_G: 0.001345 Loss_D_real: -0.008163 Loss_D_fake 0.014888
[914/5000][250/535][94190] Loss_D: -0.022953 Loss_G: 0.017589 Loss_D_real: -0.020039 Loss_D_fake 0.002914
[914/5000][255/535][94191] Loss_D: -0.023388 Loss_G: -0.003970 Loss_D_real: -0.021654 Loss_D_fake 0.001734
[914/5000][260/535][94192] Loss_D: -0.022673 Loss_G: 0.000340 Loss_D_real: -0.012303 Loss_D_fake 0.010370
[914/5000][265/535][94193] Loss_D: -0.020807 Loss_G: 0.012920 Loss_D_real: -0.021719 Loss_D_fake -0.000912
[914/5000][270/535][94194] Loss_D: -0.022681 Loss_G: 0.010476 Loss_D_real: -0.024066 Loss_D_fake -0.001385
[914/5000][275/535][94195] Loss_D: -0.022874 Loss_G: -0.000405 Loss_D_real: -0.010947 Loss_D_fake 0.011926
[914/5000][280/535][94196] Loss_D: -0.020976 Loss_G: -0.009961 Loss_D_real: -0.008057 Loss_D_fake 0.012918
[914/5000][285/535][94197] Loss_D: -0.020435 Loss_G: 0.019009 Loss_D_real: -0.026199 Loss_D_fake -0.005764
[914/5000][290/535][94198] Loss_D: -0.022298 Loss_G: -0.007966 Loss_D_real: -0.014191 Loss_D_fake 0.008108
[914/5000][295/535][94199] Loss_D: -0.021977 Loss_G: 0.028523 Loss_D_real: -0.025739 Loss_D_fake -0.003762
[914/5000][300/535][94200] Loss_D: -0.022775 Loss_G: 0.002734 Loss_D_real: -0.013494 Loss_D_fake 0.009280
[914/5000][305/535][94201] Loss_D: -0.023364 Loss_G: 0.011954 Loss_D_real: -0.016379 Loss_D_fake 0.006985
[914/5000][310/535][94202] Loss_D: -0.023436 Loss_G: 0.010456 Loss_D_real: -0.008431 Loss_D_fake 0.015004
[914/5000][315/535][94203] Loss_D: -0.021212 Loss_G: -0.002118 Loss_D_real: -0.010757 Loss_D_fake 0.010455
[914/5000][320/535][94204] Loss_D: -0.020790 Loss_G: 0.004997 Loss_D_real: -0.009563 Loss_D_fake 0.011227
[914/5000][325/535][94205] Loss_D: -0.022467 Loss_G: 0.007156 Loss_D_real: -0.014396 Loss_D_fake 0.008071
[914/5000][330/535][94206] Loss_D: -0.021928 Loss_G: 0.010311 Loss_D_real: -0.019112 Loss_D_fake 0.002816
[914/5000][335/535][94207] Loss_D: -0.022542 Loss_G: 0.010704 Loss_D_real: -0.016568 Loss_D_fake 0.005974
[914/5000][340/535][94208] Loss_D: -0.022490 Loss_G: 0.012533 Loss_D_real: -0.034699 Loss_D_fake -0.012209
[914/5000][345/535][94209] Loss_D: -0.022810 Loss_G: 0.026798 Loss_D_real: -0.017793 Loss_D_fake 0.005017
[914/5000][350/535][94210] Loss_D: -0.020393 Loss_G: 0.022282 Loss_D_real: -0.031998 Loss_D_fake -0.011605
[914/5000][355/535][94211] Loss_D: -0.024115 Loss_G: 0.005544 Loss_D_real: -0.027863 Loss_D_fake -0.003748
[914/5000][360/535][94212] Loss_D: -0.022747 Loss_G: 0.005611 Loss_D_real: -0.017444 Loss_D_fake 0.005303
[914/5000][365/535][94213] Loss_D: -0.021861 Loss_G: -0.011622 Loss_D_real: -0.003882 Loss_D_fake 0.017979
[914/5000][370/535][94214] Loss_D: -0.023325 Loss_G: 0.027766 Loss_D_real: -0.027867 Loss_D_fake -0.004542
[914/5000][375/535][94215] Loss_D: -0.022843 Loss_G: 0.014040 Loss_D_real: -0.023744 Loss_D_fake -0.000901
[914/5000][380/535][94216] Loss_D: -0.020638 Loss_G: 0.033322 Loss_D_real: -0.041101 Loss_D_fake -0.020462
[914/5000][385/535][94217] Loss_D: -0.022953 Loss_G: -0.000931 Loss_D_real: -0.017093 Loss_D_fake 0.005860
[914/5000][390/535][94218] Loss_D: -0.020970 Loss_G: 0.018914 Loss_D_real: -0.035375 Loss_D_fake -0.014405
[914/5000][395/535][94219] Loss_D: -0.023251 Loss_G: 0.016192 Loss_D_real: -0.017176 Loss_D_fake 0.006076
[914/5000][400/535][94220] Loss_D: -0.022265 Loss_G: -0.001650 Loss_D_real: -0.013154 Loss_D_fake 0.009111
[914/5000][405/535][94221] Loss_D: -0.021476 Loss_G: 0.024628 Loss_D_real: -0.034968 Loss_D_fake -0.013491
[914/5000][410/535][94222] Loss_D: -0.021897 Loss_G: -0.018354 Loss_D_real: -0.013121 Loss_D_fake 0.008776
[914/5000][415/535][94223] Loss_D: -0.022549 Loss_G: 0.010935 Loss_D_real: -0.023339 Loss_D_fake -0.000790
[914/5000][420/535][94224] Loss_D: -0.021942 Loss_G: -0.001807 Loss_D_real: -0.004412 Loss_D_fake 0.017530
[914/5000][425/535][94225] Loss_D: -0.022962 Loss_G: 0.017739 Loss_D_real: -0.015719 Loss_D_fake 0.007243
[914/5000][430/535][94226] Loss_D: -0.022638 Loss_G: 0.020217 Loss_D_real: -0.035923 Loss_D_fake -0.013285
[914/5000][435/535][94227] Loss_D: -0.023835 Loss_G: 0.014877 Loss_D_real: -0.019601 Loss_D_fake 0.004234
[914/5000][440/535][94228] Loss_D: -0.022183 Loss_G: -0.007309 Loss_D_real: -0.005712 Loss_D_fake 0.016471
[914/5000][445/535][94229] Loss_D: -0.021987 Loss_G: 0.004511 Loss_D_real: -0.019639 Loss_D_fake 0.002347
[914/5000][450/535][94230] Loss_D: -0.022836 Loss_G: 0.012058 Loss_D_real: -0.013903 Loss_D_fake 0.008933
[914/5000][455/535][94231] Loss_D: -0.021764 Loss_G: -0.006490 Loss_D_real: -0.017874 Loss_D_fake 0.003890
[914/5000][460/535][94232] Loss_D: -0.023010 Loss_G: 0.014302 Loss_D_real: -0.018631 Loss_D_fake 0.004379
[914/5000][465/535][94233] Loss_D: -0.020441 Loss_G: -0.014685 Loss_D_real: 0.003188 Loss_D_fake 0.023629
[914/5000][470/535][94234] Loss_D: -0.022314 Loss_G: 0.009927 Loss_D_real: -0.028336 Loss_D_fake -0.006022
[914/5000][475/535][94235] Loss_D: -0.022959 Loss_G: 0.007680 Loss_D_real: -0.019443 Loss_D_fake 0.003517
[914/5000][480/535][94236] Loss_D: -0.023755 Loss_G: 0.009322 Loss_D_real: -0.029014 Loss_D_fake -0.005259
[914/5000][485/535][94237] Loss_D: -0.022691 Loss_G: -0.007216 Loss_D_real: -0.024141 Loss_D_fake -0.001450
[914/5000][490/535][94238] Loss_D: -0.022565 Loss_G: 0.005859 Loss_D_real: -0.016784 Loss_D_fake 0.005780
[914/5000][495/535][94239] Loss_D: -0.022066 Loss_G: 0.012653 Loss_D_real: -0.019474 Loss_D_fake 0.002591
[914/5000][500/535][94240] Loss_D: -0.022195 Loss_G: 0.011969 Loss_D_real: -0.016300 Loss_D_fake 0.005895
[914/5000][505/535][94241] Loss_D: -0.022110 Loss_G: -0.010639 Loss_D_real: -0.000323 Loss_D_fake 0.021787
[914/5000][510/535][94242] Loss_D: -0.022229 Loss_G: 0.018206 Loss_D_real: -0.021901 Loss_D_fake 0.000328
[914/5000][515/535][94243] Loss_D: -0.022324 Loss_G: 0.018457 Loss_D_real: -0.029001 Loss_D_fake -0.006678
[914/5000][520/535][94244] Loss_D: -0.021977 Loss_G: 0.010163 Loss_D_real: -0.015098 Loss_D_fake 0.006879
[914/5000][525/535][94245] Loss_D: -0.022043 Loss_G: -0.009170 Loss_D_real: -0.006457 Loss_D_fake 0.015586
[914/5000][530/535][94246] Loss_D: -0.022431 Loss_G: 0.003193 Loss_D_real: -0.017744 Loss_D_fake 0.004687
[914/5000][535/535][94247] Loss_D: -0.022671 Loss_G: -0.008001 Loss_D_real: -0.015270 Loss_D_fake 0.007401
[915/5000][5/535][94248] Loss_D: -0.020919 Loss_G: 0.008306 Loss_D_real: -0.016154 Loss_D_fake 0.004764
[915/5000][10/535][94249] Loss_D: -0.023497 Loss_G: 0.014021 Loss_D_real: -0.011358 Loss_D_fake 0.012138
[915/5000][15/535][94250] Loss_D: -0.019857 Loss_G: -0.007878 Loss_D_real: -0.004811 Loss_D_fake 0.015046
[915/5000][20/535][94251] Loss_D: -0.021272 Loss_G: -0.004476 Loss_D_real: -0.007373 Loss_D_fake 0.013899
[915/5000][25/535][94252] Loss_D: -0.021959 Loss_G: 0.005201 Loss_D_real: -0.016380 Loss_D_fake 0.005579
[915/5000][30/535][94253] Loss_D: -0.022940 Loss_G: 0.005109 Loss_D_real: -0.017657 Loss_D_fake 0.005284
[915/5000][35/535][94254] Loss_D: -0.022247 Loss_G: 0.015349 Loss_D_real: -0.028600 Loss_D_fake -0.006353
[915/5000][40/535][94255] Loss_D: -0.021900 Loss_G: 0.032121 Loss_D_real: -0.028574 Loss_D_fake -0.006674
[915/5000][45/535][94256] Loss_D: -0.022806 Loss_G: 0.021013 Loss_D_real: -0.032993 Loss_D_fake -0.010186
[915/5000][50/535][94257] Loss_D: -0.024013 Loss_G: -0.012285 Loss_D_real: -0.008380 Loss_D_fake 0.015633
[915/5000][55/535][94258] Loss_D: -0.022062 Loss_G: 0.014305 Loss_D_real: -0.018407 Loss_D_fake 0.003655
[915/5000][60/535][94259] Loss_D: -0.022267 Loss_G: -0.005073 Loss_D_real: -0.011288 Loss_D_fake 0.010980
[915/5000][65/535][94260] Loss_D: -0.021934 Loss_G: 0.024109 Loss_D_real: -0.026118 Loss_D_fake -0.004184
[915/5000][70/535][94261] Loss_D: -0.021999 Loss_G: -0.005106 Loss_D_real: -0.002833 Loss_D_fake 0.019166
[915/5000][75/535][94262] Loss_D: -0.021360 Loss_G: 0.012070 Loss_D_real: -0.026647 Loss_D_fake -0.005286
[915/5000][80/535][94263] Loss_D: -0.021849 Loss_G: -0.002916 Loss_D_real: -0.007098 Loss_D_fake 0.014750
[915/5000][85/535][94264] Loss_D: -0.021040 Loss_G: 0.010688 Loss_D_real: -0.011790 Loss_D_fake 0.009250
[915/5000][90/535][94265] Loss_D: -0.023344 Loss_G: -0.013852 Loss_D_real: -0.004163 Loss_D_fake 0.019181
[915/5000][95/535][94266] Loss_D: -0.021432 Loss_G: -0.005712 Loss_D_real: -0.007079 Loss_D_fake 0.014353
[915/5000][100/535][94267] Loss_D: -0.022037 Loss_G: 0.012978 Loss_D_real: -0.015124 Loss_D_fake 0.006913
[915/5000][105/535][94268] Loss_D: -0.022213 Loss_G: 0.017320 Loss_D_real: -0.023060 Loss_D_fake -0.000848
[915/5000][110/535][94269] Loss_D: -0.024301 Loss_G: -0.007294 Loss_D_real: -0.007542 Loss_D_fake 0.016759
[915/5000][115/535][94270] Loss_D: -0.022998 Loss_G: 0.016314 Loss_D_real: -0.018851 Loss_D_fake 0.004147
[915/5000][120/535][94271] Loss_D: -0.022459 Loss_G: 0.003922 Loss_D_real: -0.020992 Loss_D_fake 0.001467
[915/5000][125/535][94272] Loss_D: -0.022511 Loss_G: 0.007418 Loss_D_real: -0.030614 Loss_D_fake -0.008103
[915/5000][130/535][94273] Loss_D: -0.021660 Loss_G: -0.006281 Loss_D_real: -0.011684 Loss_D_fake 0.009976
[915/5000][135/535][94274] Loss_D: -0.023098 Loss_G: 0.013933 Loss_D_real: -0.013908 Loss_D_fake 0.009190
[915/5000][140/535][94275] Loss_D: -0.021219 Loss_G: 0.002195 Loss_D_real: -0.021261 Loss_D_fake -0.000042
[915/5000][145/535][94276] Loss_D: -0.021606 Loss_G: 0.022666 Loss_D_real: -0.027642 Loss_D_fake -0.006036
[915/5000][150/535][94277] Loss_D: -0.021647 Loss_G: 0.006140 Loss_D_real: -0.018222 Loss_D_fake 0.003425
[915/5000][155/535][94278] Loss_D: -0.023044 Loss_G: 0.006066 Loss_D_real: -0.007661 Loss_D_fake 0.015383
[915/5000][160/535][94279] Loss_D: -0.021131 Loss_G: -0.008834 Loss_D_real: -0.008024 Loss_D_fake 0.013107
[915/5000][165/535][94280] Loss_D: -0.022110 Loss_G: 0.008430 Loss_D_real: -0.014861 Loss_D_fake 0.007249
[915/5000][170/535][94281] Loss_D: -0.021258 Loss_G: 0.011541 Loss_D_real: -0.014806 Loss_D_fake 0.006452
[915/5000][175/535][94282] Loss_D: -0.021676 Loss_G: 0.018171 Loss_D_real: -0.024731 Loss_D_fake -0.003055
[915/5000][180/535][94283] Loss_D: -0.021835 Loss_G: 0.018615 Loss_D_real: -0.029152 Loss_D_fake -0.007317
[915/5000][185/535][94284] Loss_D: -0.020805 Loss_G: -0.000737 Loss_D_real: -0.017805 Loss_D_fake 0.002999
[915/5000][190/535][94285] Loss_D: -0.022227 Loss_G: 0.005112 Loss_D_real: -0.020271 Loss_D_fake 0.001956
[915/5000][195/535][94286] Loss_D: -0.020968 Loss_G: 0.009771 Loss_D_real: -0.018972 Loss_D_fake 0.001996
[915/5000][200/535][94287] Loss_D: -0.021768 Loss_G: 0.019012 Loss_D_real: -0.024218 Loss_D_fake -0.002449
[915/5000][205/535][94288] Loss_D: -0.021540 Loss_G: 0.012650 Loss_D_real: -0.010720 Loss_D_fake 0.010820
[915/5000][210/535][94289] Loss_D: -0.021638 Loss_G: 0.016936 Loss_D_real: -0.019280 Loss_D_fake 0.002358
[915/5000][215/535][94290] Loss_D: -0.022788 Loss_G: 0.006517 Loss_D_real: -0.005122 Loss_D_fake 0.017666
[915/5000][220/535][94291] Loss_D: -0.021590 Loss_G: -0.008419 Loss_D_real: -0.011964 Loss_D_fake 0.009626
[915/5000][225/535][94292] Loss_D: -0.022714 Loss_G: 0.014242 Loss_D_real: -0.032501 Loss_D_fake -0.009787
[915/5000][230/535][94293] Loss_D: -0.022172 Loss_G: -0.004904 Loss_D_real: -0.005916 Loss_D_fake 0.016257
[915/5000][235/535][94294] Loss_D: -0.022340 Loss_G: 0.013187 Loss_D_real: -0.018223 Loss_D_fake 0.004117
[915/5000][240/535][94295] Loss_D: -0.022006 Loss_G: 0.011273 Loss_D_real: -0.010264 Loss_D_fake 0.011742
[915/5000][245/535][94296] Loss_D: -0.022410 Loss_G: -0.005793 Loss_D_real: -0.009319 Loss_D_fake 0.013091
[915/5000][250/535][94297] Loss_D: -0.022981 Loss_G: -0.002573 Loss_D_real: -0.005871 Loss_D_fake 0.017109
[915/5000][255/535][94298] Loss_D: -0.020750 Loss_G: 0.024286 Loss_D_real: -0.040482 Loss_D_fake -0.019732
[915/5000][260/535][94299] Loss_D: -0.022860 Loss_G: 0.013653 Loss_D_real: -0.022964 Loss_D_fake -0.000105
[915/5000][265/535][94300] Loss_D: -0.023527 Loss_G: 0.012647 Loss_D_real: -0.030565 Loss_D_fake -0.007038
[915/5000][270/535][94301] Loss_D: -0.023998 Loss_G: 0.012391 Loss_D_real: -0.012153 Loss_D_fake 0.011845
[915/5000][275/535][94302] Loss_D: -0.023095 Loss_G: 0.004782 Loss_D_real: -0.016405 Loss_D_fake 0.006689
[915/5000][280/535][94303] Loss_D: -0.023359 Loss_G: 0.012498 Loss_D_real: -0.022304 Loss_D_fake 0.001055
[915/5000][285/535][94304] Loss_D: -0.022289 Loss_G: -0.000919 Loss_D_real: -0.007494 Loss_D_fake 0.014795
[915/5000][290/535][94305] Loss_D: -0.022667 Loss_G: 0.007217 Loss_D_real: -0.014333 Loss_D_fake 0.008334
[915/5000][295/535][94306] Loss_D: -0.021731 Loss_G: 0.009195 Loss_D_real: -0.019855 Loss_D_fake 0.001876
[915/5000][300/535][94307] Loss_D: -0.021961 Loss_G: 0.016248 Loss_D_real: -0.030659 Loss_D_fake -0.008697
[915/5000][305/535][94308] Loss_D: -0.023139 Loss_G: 0.009188 Loss_D_real: -0.022907 Loss_D_fake 0.000232
[915/5000][310/535][94309] Loss_D: -0.022500 Loss_G: 0.021728 Loss_D_real: -0.028367 Loss_D_fake -0.005867
[915/5000][315/535][94310] Loss_D: -0.022059 Loss_G: -0.008678 Loss_D_real: 0.000719 Loss_D_fake 0.022777
[915/5000][320/535][94311] Loss_D: -0.022423 Loss_G: -0.001494 Loss_D_real: -0.013237 Loss_D_fake 0.009185
[915/5000][325/535][94312] Loss_D: -0.024221 Loss_G: 0.026032 Loss_D_real: -0.027626 Loss_D_fake -0.003405
[915/5000][330/535][94313] Loss_D: -0.023118 Loss_G: 0.010044 Loss_D_real: -0.015995 Loss_D_fake 0.007123
[915/5000][335/535][94314] Loss_D: -0.023614 Loss_G: 0.014070 Loss_D_real: -0.018846 Loss_D_fake 0.004768
[915/5000][340/535][94315] Loss_D: -0.021755 Loss_G: 0.019945 Loss_D_real: -0.022448 Loss_D_fake -0.000693
[915/5000][345/535][94316] Loss_D: -0.023330 Loss_G: -0.005729 Loss_D_real: -0.015181 Loss_D_fake 0.008149
[915/5000][350/535][94317] Loss_D: -0.023146 Loss_G: -0.004334 Loss_D_real: -0.017690 Loss_D_fake 0.005455
[915/5000][355/535][94318] Loss_D: -0.023461 Loss_G: -0.001876 Loss_D_real: -0.025280 Loss_D_fake -0.001819
[915/5000][360/535][94319] Loss_D: -0.021391 Loss_G: 0.019965 Loss_D_real: -0.020573 Loss_D_fake 0.000818
[915/5000][365/535][94320] Loss_D: -0.023231 Loss_G: 0.007852 Loss_D_real: -0.013017 Loss_D_fake 0.010214
[915/5000][370/535][94321] Loss_D: -0.022439 Loss_G: 0.015030 Loss_D_real: -0.013102 Loss_D_fake 0.009337
[915/5000][375/535][94322] Loss_D: -0.023516 Loss_G: -0.001991 Loss_D_real: -0.017523 Loss_D_fake 0.005993
[915/5000][380/535][94323] Loss_D: -0.021111 Loss_G: 0.027708 Loss_D_real: -0.035488 Loss_D_fake -0.014377
[915/5000][385/535][94324] Loss_D: -0.023348 Loss_G: 0.012350 Loss_D_real: -0.018189 Loss_D_fake 0.005159
[915/5000][390/535][94325] Loss_D: -0.022206 Loss_G: 0.013578 Loss_D_real: -0.022682 Loss_D_fake -0.000477
[915/5000][395/535][94326] Loss_D: -0.021988 Loss_G: 0.018780 Loss_D_real: -0.029158 Loss_D_fake -0.007170
[915/5000][400/535][94327] Loss_D: -0.022383 Loss_G: -0.002772 Loss_D_real: -0.009591 Loss_D_fake 0.012792
[915/5000][405/535][94328] Loss_D: -0.020036 Loss_G: 0.027995 Loss_D_real: -0.034664 Loss_D_fake -0.014628
[915/5000][410/535][94329] Loss_D: -0.022497 Loss_G: 0.007638 Loss_D_real: -0.021870 Loss_D_fake 0.000627
[915/5000][415/535][94330] Loss_D: -0.021857 Loss_G: -0.008329 Loss_D_real: 0.000052 Loss_D_fake 0.021908
[915/5000][420/535][94331] Loss_D: -0.022754 Loss_G: 0.015043 Loss_D_real: -0.023189 Loss_D_fake -0.000435
[915/5000][425/535][94332] Loss_D: -0.023337 Loss_G: -0.002928 Loss_D_real: -0.017764 Loss_D_fake 0.005573
[915/5000][430/535][94333] Loss_D: -0.022732 Loss_G: 0.016602 Loss_D_real: -0.024381 Loss_D_fake -0.001649
[915/5000][435/535][94334] Loss_D: -0.022605 Loss_G: 0.021419 Loss_D_real: -0.022809 Loss_D_fake -0.000205
[915/5000][440/535][94335] Loss_D: -0.022406 Loss_G: 0.017113 Loss_D_real: -0.025830 Loss_D_fake -0.003424
[915/5000][445/535][94336] Loss_D: -0.022559 Loss_G: 0.005620 Loss_D_real: -0.014487 Loss_D_fake 0.008072
[915/5000][450/535][94337] Loss_D: -0.022421 Loss_G: 0.017571 Loss_D_real: -0.027492 Loss_D_fake -0.005071
[915/5000][455/535][94338] Loss_D: -0.022481 Loss_G: 0.005111 Loss_D_real: -0.016299 Loss_D_fake 0.006182
[915/5000][460/535][94339] Loss_D: -0.021736 Loss_G: -0.001595 Loss_D_real: -0.022478 Loss_D_fake -0.000742
[915/5000][465/535][94340] Loss_D: -0.021820 Loss_G: 0.021623 Loss_D_real: -0.026149 Loss_D_fake -0.004329
[915/5000][470/535][94341] Loss_D: -0.022215 Loss_G: 0.008441 Loss_D_real: -0.014902 Loss_D_fake 0.007313
[915/5000][475/535][94342] Loss_D: -0.021450 Loss_G: -0.017287 Loss_D_real: -0.004104 Loss_D_fake 0.017346
[915/5000][480/535][94343] Loss_D: -0.022260 Loss_G: 0.021248 Loss_D_real: -0.025757 Loss_D_fake -0.003497
[915/5000][485/535][94344] Loss_D: -0.023067 Loss_G: 0.004956 Loss_D_real: -0.018067 Loss_D_fake 0.005000
[915/5000][490/535][94345] Loss_D: -0.021909 Loss_G: 0.020639 Loss_D_real: -0.028212 Loss_D_fake -0.006303
[915/5000][495/535][94346] Loss_D: -0.021753 Loss_G: -0.002770 Loss_D_real: -0.014880 Loss_D_fake 0.006873
[915/5000][500/535][94347] Loss_D: -0.020461 Loss_G: 0.032642 Loss_D_real: -0.029421 Loss_D_fake -0.008960
[915/5000][505/535][94348] Loss_D: -0.022274 Loss_G: 0.012582 Loss_D_real: -0.019888 Loss_D_fake 0.002386
[915/5000][510/535][94349] Loss_D: -0.022681 Loss_G: 0.023700 Loss_D_real: -0.028755 Loss_D_fake -0.006074
[915/5000][515/535][94350] Loss_D: -0.023339 Loss_G: 0.003310 Loss_D_real: -0.019558 Loss_D_fake 0.003781
[915/5000][520/535][94351] Loss_D: -0.023013 Loss_G: 0.005274 Loss_D_real: -0.032955 Loss_D_fake -0.009943
[915/5000][525/535][94352] Loss_D: -0.023756 Loss_G: 0.001549 Loss_D_real: -0.012903 Loss_D_fake 0.010853
[915/5000][530/535][94353] Loss_D: -0.024272 Loss_G: 0.024976 Loss_D_real: -0.007242 Loss_D_fake 0.017030
[915/5000][535/535][94354] Loss_D: -0.021452 Loss_G: 0.018050 Loss_D_real: -0.022820 Loss_D_fake -0.001368
[916/5000][5/535][94355] Loss_D: -0.021925 Loss_G: 0.007010 Loss_D_real: -0.021196 Loss_D_fake 0.000730
[916/5000][10/535][94356] Loss_D: -0.022537 Loss_G: 0.007298 Loss_D_real: -0.014636 Loss_D_fake 0.007901
[916/5000][15/535][94357] Loss_D: -0.023072 Loss_G: 0.006833 Loss_D_real: -0.013176 Loss_D_fake 0.009895
[916/5000][20/535][94358] Loss_D: -0.021623 Loss_G: 0.015257 Loss_D_real: -0.025021 Loss_D_fake -0.003398
[916/5000][25/535][94359] Loss_D: -0.023010 Loss_G: -0.017575 Loss_D_real: -0.004630 Loss_D_fake 0.018381
[916/5000][30/535][94360] Loss_D: -0.020757 Loss_G: 0.019292 Loss_D_real: -0.035365 Loss_D_fake -0.014608
[916/5000][35/535][94361] Loss_D: -0.022650 Loss_G: 0.005999 Loss_D_real: -0.010716 Loss_D_fake 0.011935
[916/5000][40/535][94362] Loss_D: -0.020442 Loss_G: 0.025626 Loss_D_real: -0.030651 Loss_D_fake -0.010209
[916/5000][45/535][94363] Loss_D: -0.022415 Loss_G: -0.000704 Loss_D_real: -0.019170 Loss_D_fake 0.003246
[916/5000][50/535][94364] Loss_D: -0.022212 Loss_G: 0.017231 Loss_D_real: -0.027558 Loss_D_fake -0.005345
[916/5000][55/535][94365] Loss_D: -0.020991 Loss_G: -0.017921 Loss_D_real: -0.004247 Loss_D_fake 0.016744
[916/5000][60/535][94366] Loss_D: -0.021114 Loss_G: 0.021966 Loss_D_real: -0.020238 Loss_D_fake 0.000877
[916/5000][65/535][94367] Loss_D: -0.022039 Loss_G: 0.012037 Loss_D_real: -0.025353 Loss_D_fake -0.003314
[916/5000][70/535][94368] Loss_D: -0.020435 Loss_G: 0.025608 Loss_D_real: -0.035155 Loss_D_fake -0.014720
[916/5000][75/535][94369] Loss_D: -0.022357 Loss_G: -0.007463 Loss_D_real: -0.007725 Loss_D_fake 0.014632
[916/5000][80/535][94370] Loss_D: -0.022809 Loss_G: 0.004822 Loss_D_real: -0.018532 Loss_D_fake 0.004277
[916/5000][85/535][94371] Loss_D: -0.023105 Loss_G: 0.019488 Loss_D_real: -0.020229 Loss_D_fake 0.002876
[916/5000][90/535][94372] Loss_D: -0.022502 Loss_G: 0.008638 Loss_D_real: -0.021039 Loss_D_fake 0.001463
[916/5000][95/535][94373] Loss_D: -0.022026 Loss_G: 0.024978 Loss_D_real: -0.035233 Loss_D_fake -0.013207
[916/5000][100/535][94374] Loss_D: -0.023556 Loss_G: 0.001591 Loss_D_real: -0.007308 Loss_D_fake 0.016248
[916/5000][105/535][94375] Loss_D: -0.021216 Loss_G: 0.020959 Loss_D_real: -0.031371 Loss_D_fake -0.010155
[916/5000][110/535][94376] Loss_D: -0.020472 Loss_G: -0.025142 Loss_D_real: -0.000288 Loss_D_fake 0.020184
[916/5000][115/535][94377] Loss_D: -0.021690 Loss_G: 0.000844 Loss_D_real: -0.023823 Loss_D_fake -0.002133
[916/5000][120/535][94378] Loss_D: -0.021583 Loss_G: 0.007796 Loss_D_real: -0.015403 Loss_D_fake 0.006180
[916/5000][125/535][94379] Loss_D: -0.021627 Loss_G: 0.030289 Loss_D_real: -0.022764 Loss_D_fake -0.001137
[916/5000][130/535][94380] Loss_D: -0.022470 Loss_G: 0.003723 Loss_D_real: -0.010937 Loss_D_fake 0.011533
[916/5000][135/535][94381] Loss_D: -0.022505 Loss_G: 0.016910 Loss_D_real: -0.033169 Loss_D_fake -0.010664
[916/5000][140/535][94382] Loss_D: -0.021249 Loss_G: 0.005340 Loss_D_real: -0.015069 Loss_D_fake 0.006180
[916/5000][145/535][94383] Loss_D: -0.022583 Loss_G: 0.017652 Loss_D_real: -0.019784 Loss_D_fake 0.002799
[916/5000][150/535][94384] Loss_D: -0.021477 Loss_G: 0.005113 Loss_D_real: -0.009987 Loss_D_fake 0.011490
[916/5000][155/535][94385] Loss_D: -0.022787 Loss_G: 0.008096 Loss_D_real: -0.012802 Loss_D_fake 0.009985
[916/5000][160/535][94386] Loss_D: -0.021629 Loss_G: 0.000637 Loss_D_real: -0.013367 Loss_D_fake 0.008263
[916/5000][165/535][94387] Loss_D: -0.021832 Loss_G: 0.020808 Loss_D_real: -0.020102 Loss_D_fake 0.001730
[916/5000][170/535][94388] Loss_D: -0.020884 Loss_G: -0.002461 Loss_D_real: -0.014363 Loss_D_fake 0.006521
[916/5000][175/535][94389] Loss_D: -0.021642 Loss_G: 0.024656 Loss_D_real: -0.025456 Loss_D_fake -0.003814
[916/5000][180/535][94390] Loss_D: -0.023919 Loss_G: -0.006463 Loss_D_real: -0.016158 Loss_D_fake 0.007761
[916/5000][185/535][94391] Loss_D: -0.021343 Loss_G: 0.020532 Loss_D_real: -0.024369 Loss_D_fake -0.003026
[916/5000][190/535][94392] Loss_D: -0.022290 Loss_G: 0.000621 Loss_D_real: -0.024384 Loss_D_fake -0.002093
[916/5000][195/535][94393] Loss_D: -0.022233 Loss_G: 0.008116 Loss_D_real: -0.017671 Loss_D_fake 0.004562
[916/5000][200/535][94394] Loss_D: -0.023001 Loss_G: -0.004101 Loss_D_real: 0.001809 Loss_D_fake 0.024809
[916/5000][205/535][94395] Loss_D: -0.022529 Loss_G: 0.009176 Loss_D_real: -0.019299 Loss_D_fake 0.003231
[916/5000][210/535][94396] Loss_D: -0.022947 Loss_G: 0.017925 Loss_D_real: -0.021465 Loss_D_fake 0.001482
[916/5000][215/535][94397] Loss_D: -0.023330 Loss_G: 0.005888 Loss_D_real: -0.016356 Loss_D_fake 0.006975
[916/5000][220/535][94398] Loss_D: -0.021618 Loss_G: 0.007272 Loss_D_real: -0.024294 Loss_D_fake -0.002676
[916/5000][225/535][94399] Loss_D: -0.023213 Loss_G: -0.002738 Loss_D_real: -0.008459 Loss_D_fake 0.014754
[916/5000][230/535][94400] Loss_D: -0.022439 Loss_G: 0.008492 Loss_D_real: -0.011596 Loss_D_fake 0.010844
[916/5000][235/535][94401] Loss_D: -0.023302 Loss_G: 0.020814 Loss_D_real: -0.027057 Loss_D_fake -0.003754
[916/5000][240/535][94402] Loss_D: -0.022660 Loss_G: 0.020447 Loss_D_real: -0.026395 Loss_D_fake -0.003735
[916/5000][245/535][94403] Loss_D: -0.022972 Loss_G: 0.005798 Loss_D_real: -0.027074 Loss_D_fake -0.004102
[916/5000][250/535][94404] Loss_D: -0.023050 Loss_G: 0.020834 Loss_D_real: -0.033781 Loss_D_fake -0.010732
[916/5000][255/535][94405] Loss_D: -0.023471 Loss_G: 0.001637 Loss_D_real: -0.024562 Loss_D_fake -0.001090
[916/5000][260/535][94406] Loss_D: -0.022377 Loss_G: 0.016290 Loss_D_real: -0.017705 Loss_D_fake 0.004672
[916/5000][265/535][94407] Loss_D: -0.021759 Loss_G: 0.008450 Loss_D_real: -0.025654 Loss_D_fake -0.003896
[916/5000][270/535][94408] Loss_D: -0.022867 Loss_G: 0.029621 Loss_D_real: -0.032683 Loss_D_fake -0.009816
[916/5000][275/535][94409] Loss_D: -0.021516 Loss_G: 0.012581 Loss_D_real: -0.027548 Loss_D_fake -0.006032
[916/5000][280/535][94410] Loss_D: -0.021411 Loss_G: 0.018941 Loss_D_real: -0.017486 Loss_D_fake 0.003925
[916/5000][285/535][94411] Loss_D: -0.021914 Loss_G: 0.004527 Loss_D_real: -0.022166 Loss_D_fake -0.000253
[916/5000][290/535][94412] Loss_D: -0.020862 Loss_G: 0.018849 Loss_D_real: -0.037126 Loss_D_fake -0.016264
[916/5000][295/535][94413] Loss_D: -0.022139 Loss_G: -0.011777 Loss_D_real: -0.007418 Loss_D_fake 0.014721
[916/5000][300/535][94414] Loss_D: -0.021262 Loss_G: 0.017791 Loss_D_real: -0.014316 Loss_D_fake 0.006946
[916/5000][305/535][94415] Loss_D: -0.022932 Loss_G: 0.009484 Loss_D_real: -0.008511 Loss_D_fake 0.014421
[916/5000][310/535][94416] Loss_D: -0.022540 Loss_G: 0.012088 Loss_D_real: -0.027270 Loss_D_fake -0.004730
[916/5000][315/535][94417] Loss_D: -0.023959 Loss_G: -0.002312 Loss_D_real: -0.025613 Loss_D_fake -0.001654
[916/5000][320/535][94418] Loss_D: -0.023292 Loss_G: 0.020632 Loss_D_real: -0.032803 Loss_D_fake -0.009511
[916/5000][325/535][94419] Loss_D: -0.021909 Loss_G: 0.015757 Loss_D_real: -0.019256 Loss_D_fake 0.002653
[916/5000][330/535][94420] Loss_D: -0.022418 Loss_G: 0.013882 Loss_D_real: -0.022742 Loss_D_fake -0.000324
[916/5000][335/535][94421] Loss_D: -0.022926 Loss_G: 0.005967 Loss_D_real: -0.007387 Loss_D_fake 0.015538
[916/5000][340/535][94422] Loss_D: -0.021759 Loss_G: 0.028722 Loss_D_real: -0.030363 Loss_D_fake -0.008605
[916/5000][345/535][94423] Loss_D: -0.022239 Loss_G: 0.014694 Loss_D_real: -0.019764 Loss_D_fake 0.002474
[916/5000][350/535][94424] Loss_D: -0.021778 Loss_G: 0.013487 Loss_D_real: -0.033335 Loss_D_fake -0.011557
[916/5000][355/535][94425] Loss_D: -0.021757 Loss_G: -0.008334 Loss_D_real: -0.016707 Loss_D_fake 0.005050
[916/5000][360/535][94426] Loss_D: -0.020001 Loss_G: 0.020953 Loss_D_real: -0.027513 Loss_D_fake -0.007511
[916/5000][365/535][94427] Loss_D: -0.021927 Loss_G: -0.001717 Loss_D_real: -0.009192 Loss_D_fake 0.012735
[916/5000][370/535][94428] Loss_D: -0.019688 Loss_G: 0.011814 Loss_D_real: -0.034510 Loss_D_fake -0.014822
[916/5000][375/535][94429] Loss_D: -0.021603 Loss_G: 0.011219 Loss_D_real: -0.024757 Loss_D_fake -0.003155
[916/5000][380/535][94430] Loss_D: -0.021050 Loss_G: 0.023666 Loss_D_real: -0.025200 Loss_D_fake -0.004150
[916/5000][385/535][94431] Loss_D: -0.023720 Loss_G: -0.015668 Loss_D_real: -0.009140 Loss_D_fake 0.014580
[916/5000][390/535][94432] Loss_D: -0.021371 Loss_G: 0.008326 Loss_D_real: -0.028568 Loss_D_fake -0.007197
[916/5000][395/535][94433] Loss_D: -0.022738 Loss_G: 0.018770 Loss_D_real: -0.017704 Loss_D_fake 0.005034
[916/5000][400/535][94434] Loss_D: -0.022469 Loss_G: -0.009826 Loss_D_real: -0.010900 Loss_D_fake 0.011569
[916/5000][405/535][94435] Loss_D: -0.021057 Loss_G: 0.020971 Loss_D_real: -0.027745 Loss_D_fake -0.006687
[916/5000][410/535][94436] Loss_D: -0.022275 Loss_G: 0.009525 Loss_D_real: -0.022409 Loss_D_fake -0.000134
[916/5000][415/535][94437] Loss_D: -0.022775 Loss_G: 0.001027 Loss_D_real: -0.005682 Loss_D_fake 0.017094
[916/5000][420/535][94438] Loss_D: -0.023661 Loss_G: 0.011259 Loss_D_real: -0.017178 Loss_D_fake 0.006483
[916/5000][425/535][94439] Loss_D: -0.022594 Loss_G: 0.022606 Loss_D_real: -0.024015 Loss_D_fake -0.001421
[916/5000][430/535][94440] Loss_D: -0.022040 Loss_G: 0.004513 Loss_D_real: 0.004722 Loss_D_fake 0.026762
[916/5000][435/535][94441] Loss_D: -0.022068 Loss_G: 0.011358 Loss_D_real: -0.022953 Loss_D_fake -0.000885
[916/5000][440/535][94442] Loss_D: -0.022311 Loss_G: 0.018457 Loss_D_real: -0.032546 Loss_D_fake -0.010234
[916/5000][445/535][94443] Loss_D: -0.022793 Loss_G: 0.016481 Loss_D_real: -0.020637 Loss_D_fake 0.002156
[916/5000][450/535][94444] Loss_D: -0.022449 Loss_G: 0.002244 Loss_D_real: -0.010334 Loss_D_fake 0.012115
[916/5000][455/535][94445] Loss_D: -0.022485 Loss_G: -0.014306 Loss_D_real: -0.008826 Loss_D_fake 0.013659
[916/5000][460/535][94446] Loss_D: -0.022615 Loss_G: 0.007657 Loss_D_real: -0.014316 Loss_D_fake 0.008299
[916/5000][465/535][94447] Loss_D: -0.022668 Loss_G: 0.024428 Loss_D_real: -0.024632 Loss_D_fake -0.001965
[916/5000][470/535][94448] Loss_D: -0.022718 Loss_G: -0.007598 Loss_D_real: -0.017673 Loss_D_fake 0.005046
[916/5000][475/535][94449] Loss_D: -0.022423 Loss_G: 0.008002 Loss_D_real: -0.021633 Loss_D_fake 0.000789
[916/5000][480/535][94450] Loss_D: -0.021679 Loss_G: 0.004859 Loss_D_real: -0.014084 Loss_D_fake 0.007594
[916/5000][485/535][94451] Loss_D: -0.022228 Loss_G: -0.000533 Loss_D_real: -0.007652 Loss_D_fake 0.014576
[916/5000][490/535][94452] Loss_D: -0.021277 Loss_G: -0.014193 Loss_D_real: -0.002082 Loss_D_fake 0.019195
[916/5000][495/535][94453] Loss_D: -0.023201 Loss_G: 0.008265 Loss_D_real: -0.025349 Loss_D_fake -0.002148
[916/5000][500/535][94454] Loss_D: -0.022771 Loss_G: -0.004313 Loss_D_real: -0.009321 Loss_D_fake 0.013450
[916/5000][505/535][94455] Loss_D: -0.022455 Loss_G: -0.002093 Loss_D_real: -0.007218 Loss_D_fake 0.015237
[916/5000][510/535][94456] Loss_D: -0.021545 Loss_G: -0.006826 Loss_D_real: -0.021255 Loss_D_fake 0.000290
[916/5000][515/535][94457] Loss_D: -0.021997 Loss_G: 0.018860 Loss_D_real: -0.019571 Loss_D_fake 0.002426
[916/5000][520/535][94458] Loss_D: -0.022715 Loss_G: -0.011566 Loss_D_real: -0.008466 Loss_D_fake 0.014249
[916/5000][525/535][94459] Loss_D: -0.022081 Loss_G: -0.001013 Loss_D_real: -0.008104 Loss_D_fake 0.013977
[916/5000][530/535][94460] Loss_D: -0.021839 Loss_G: 0.016721 Loss_D_real: -0.024948 Loss_D_fake -0.003109
[916/5000][535/535][94461] Loss_D: -0.022834 Loss_G: 0.015323 Loss_D_real: -0.019887 Loss_D_fake 0.002947
[917/5000][5/535][94462] Loss_D: -0.024409 Loss_G: 0.012923 Loss_D_real: -0.024437 Loss_D_fake -0.000028
[917/5000][10/535][94463] Loss_D: -0.021500 Loss_G: 0.014703 Loss_D_real: -0.025743 Loss_D_fake -0.004243
[917/5000][15/535][94464] Loss_D: -0.022514 Loss_G: 0.001173 Loss_D_real: -0.006320 Loss_D_fake 0.016194
[917/5000][20/535][94465] Loss_D: -0.022843 Loss_G: 0.007601 Loss_D_real: -0.011406 Loss_D_fake 0.011437
[917/5000][25/535][94466] Loss_D: -0.022919 Loss_G: 0.014685 Loss_D_real: -0.027082 Loss_D_fake -0.004163
[917/5000][30/535][94467] Loss_D: -0.022514 Loss_G: -0.015188 Loss_D_real: -0.006011 Loss_D_fake 0.016502
[917/5000][35/535][94468] Loss_D: -0.023156 Loss_G: 0.019109 Loss_D_real: -0.024032 Loss_D_fake -0.000875
[917/5000][40/535][94469] Loss_D: -0.022424 Loss_G: 0.003065 Loss_D_real: -0.010631 Loss_D_fake 0.011793
[917/5000][45/535][94470] Loss_D: -0.021991 Loss_G: 0.022155 Loss_D_real: -0.032343 Loss_D_fake -0.010352
[917/5000][50/535][94471] Loss_D: -0.023478 Loss_G: 0.012633 Loss_D_real: -0.024069 Loss_D_fake -0.000591
[917/5000][55/535][94472] Loss_D: -0.022040 Loss_G: 0.016375 Loss_D_real: -0.023785 Loss_D_fake -0.001746
[917/5000][60/535][94473] Loss_D: -0.020917 Loss_G: 0.025363 Loss_D_real: -0.031205 Loss_D_fake -0.010288
[917/5000][65/535][94474] Loss_D: -0.022189 Loss_G: 0.015385 Loss_D_real: -0.027368 Loss_D_fake -0.005179
[917/5000][70/535][94475] Loss_D: -0.023175 Loss_G: -0.009795 Loss_D_real: -0.014885 Loss_D_fake 0.008290
[917/5000][75/535][94476] Loss_D: -0.022328 Loss_G: 0.005019 Loss_D_real: -0.016226 Loss_D_fake 0.006102
[917/5000][80/535][94477] Loss_D: -0.020322 Loss_G: 0.023783 Loss_D_real: -0.033973 Loss_D_fake -0.013651
[917/5000][85/535][94478] Loss_D: -0.022519 Loss_G: -0.000669 Loss_D_real: -0.012460 Loss_D_fake 0.010058
[917/5000][90/535][94479] Loss_D: -0.022668 Loss_G: 0.000216 Loss_D_real: -0.019838 Loss_D_fake 0.002830
[917/5000][95/535][94480] Loss_D: -0.021263 Loss_G: 0.021013 Loss_D_real: -0.022979 Loss_D_fake -0.001715
[917/5000][100/535][94481] Loss_D: -0.023252 Loss_G: 0.012497 Loss_D_real: -0.024200 Loss_D_fake -0.000948
[917/5000][105/535][94482] Loss_D: -0.023417 Loss_G: 0.015972 Loss_D_real: -0.026249 Loss_D_fake -0.002832
[917/5000][110/535][94483] Loss_D: -0.022529 Loss_G: 0.009017 Loss_D_real: -0.023500 Loss_D_fake -0.000971
[917/5000][115/535][94484] Loss_D: -0.024153 Loss_G: 0.007744 Loss_D_real: -0.019454 Loss_D_fake 0.004699
[917/5000][120/535][94485] Loss_D: -0.024187 Loss_G: -0.009998 Loss_D_real: -0.010408 Loss_D_fake 0.013779
[917/5000][125/535][94486] Loss_D: -0.022212 Loss_G: 0.021874 Loss_D_real: -0.029421 Loss_D_fake -0.007209
[917/5000][130/535][94487] Loss_D: -0.023288 Loss_G: -0.001604 Loss_D_real: -0.012369 Loss_D_fake 0.010920
[917/5000][135/535][94488] Loss_D: -0.022425 Loss_G: -0.001619 Loss_D_real: -0.007838 Loss_D_fake 0.014587
[917/5000][140/535][94489] Loss_D: -0.021104 Loss_G: 0.016154 Loss_D_real: -0.022105 Loss_D_fake -0.001001
[917/5000][145/535][94490] Loss_D: -0.020562 Loss_G: 0.015879 Loss_D_real: -0.012488 Loss_D_fake 0.008074
[917/5000][150/535][94491] Loss_D: -0.022171 Loss_G: 0.002625 Loss_D_real: -0.010991 Loss_D_fake 0.011180
[917/5000][155/535][94492] Loss_D: -0.021802 Loss_G: 0.010620 Loss_D_real: -0.018641 Loss_D_fake 0.003161
[917/5000][160/535][94493] Loss_D: -0.021460 Loss_G: 0.023230 Loss_D_real: -0.029209 Loss_D_fake -0.007749
[917/5000][165/535][94494] Loss_D: -0.021881 Loss_G: -0.006169 Loss_D_real: -0.007962 Loss_D_fake 0.013919
[917/5000][170/535][94495] Loss_D: -0.021804 Loss_G: 0.006923 Loss_D_real: -0.027830 Loss_D_fake -0.006025
[917/5000][175/535][94496] Loss_D: -0.022197 Loss_G: 0.002373 Loss_D_real: -0.020621 Loss_D_fake 0.001577
[917/5000][180/535][94497] Loss_D: -0.021725 Loss_G: 0.031394 Loss_D_real: -0.030295 Loss_D_fake -0.008569
[917/5000][185/535][94498] Loss_D: -0.021673 Loss_G: 0.013707 Loss_D_real: -0.024479 Loss_D_fake -0.002806
[917/5000][190/535][94499] Loss_D: -0.023092 Loss_G: 0.002229 Loss_D_real: -0.018325 Loss_D_fake 0.004767
[917/5000][195/535][94500] Loss_D: -0.022077 Loss_G: 0.008980 Loss_D_real: -0.024988 Loss_D_fake -0.002911
[917/5000][295/535][94501] Loss_D: -0.024147 Loss_G: -0.019962 Loss_D_real: 0.001695 Loss_D_fake 0.025842
[917/5000][300/535][94502] Loss_D: -0.021953 Loss_G: 0.005345 Loss_D_real: -0.018572 Loss_D_fake 0.003381
[917/5000][305/535][94503] Loss_D: -0.018339 Loss_G: -0.003398 Loss_D_real: 0.004741 Loss_D_fake 0.023080
[917/5000][310/535][94504] Loss_D: -0.019459 Loss_G: -0.003342 Loss_D_real: -0.023766 Loss_D_fake -0.004307
[917/5000][315/535][94505] Loss_D: -0.021477 Loss_G: 0.006600 Loss_D_real: -0.022296 Loss_D_fake -0.000818
[917/5000][320/535][94506] Loss_D: -0.020718 Loss_G: 0.015754 Loss_D_real: -0.016802 Loss_D_fake 0.003917
[917/5000][325/535][94507] Loss_D: -0.022658 Loss_G: 0.009359 Loss_D_real: -0.013247 Loss_D_fake 0.009411
[917/5000][330/535][94508] Loss_D: -0.022225 Loss_G: 0.002604 Loss_D_real: -0.021780 Loss_D_fake 0.000445
[917/5000][335/535][94509] Loss_D: -0.021244 Loss_G: 0.000803 Loss_D_real: -0.009370 Loss_D_fake 0.011874
[917/5000][340/535][94510] Loss_D: -0.021456 Loss_G: 0.019506 Loss_D_real: -0.018082 Loss_D_fake 0.003374
[917/5000][345/535][94511] Loss_D: -0.021914 Loss_G: 0.002374 Loss_D_real: -0.011240 Loss_D_fake 0.010674
[917/5000][350/535][94512] Loss_D: -0.022176 Loss_G: 0.010177 Loss_D_real: -0.020888 Loss_D_fake 0.001288
[917/5000][355/535][94513] Loss_D: -0.020125 Loss_G: -0.015729 Loss_D_real: 0.004332 Loss_D_fake 0.024457
[917/5000][360/535][94514] Loss_D: -0.021681 Loss_G: 0.025059 Loss_D_real: -0.026428 Loss_D_fake -0.004747
[917/5000][365/535][94515] Loss_D: -0.021990 Loss_G: 0.000805 Loss_D_real: -0.016187 Loss_D_fake 0.005804
[917/5000][370/535][94516] Loss_D: -0.021956 Loss_G: -0.007568 Loss_D_real: -0.011380 Loss_D_fake 0.010576
[917/5000][375/535][94517] Loss_D: -0.021926 Loss_G: -0.013389 Loss_D_real: -0.007157 Loss_D_fake 0.014769
[917/5000][380/535][94518] Loss_D: -0.022518 Loss_G: 0.025975 Loss_D_real: -0.030149 Loss_D_fake -0.007631
[917/5000][385/535][94519] Loss_D: -0.022462 Loss_G: 0.006921 Loss_D_real: -0.018645 Loss_D_fake 0.003816
[917/5000][390/535][94520] Loss_D: -0.021674 Loss_G: 0.005464 Loss_D_real: -0.027572 Loss_D_fake -0.005897
[917/5000][395/535][94521] Loss_D: -0.022562 Loss_G: 0.005043 Loss_D_real: -0.024828 Loss_D_fake -0.002266
[917/5000][400/535][94522] Loss_D: -0.023253 Loss_G: 0.010876 Loss_D_real: -0.027063 Loss_D_fake -0.003810
[917/5000][405/535][94523] Loss_D: -0.023045 Loss_G: 0.004831 Loss_D_real: -0.011146 Loss_D_fake 0.011899
[917/5000][410/535][94524] Loss_D: -0.022544 Loss_G: -0.003053 Loss_D_real: -0.001476 Loss_D_fake 0.021068
[917/5000][415/535][94525] Loss_D: -0.022154 Loss_G: 0.003651 Loss_D_real: -0.019591 Loss_D_fake 0.002563
[917/5000][420/535][94526] Loss_D: -0.021862 Loss_G: 0.013398 Loss_D_real: -0.017790 Loss_D_fake 0.004072
[917/5000][425/535][94527] Loss_D: -0.022555 Loss_G: 0.009891 Loss_D_real: -0.019812 Loss_D_fake 0.002743
[917/5000][430/535][94528] Loss_D: -0.020862 Loss_G: 0.029262 Loss_D_real: -0.032982 Loss_D_fake -0.012119
[917/5000][435/535][94529] Loss_D: -0.021877 Loss_G: 0.017175 Loss_D_real: -0.018875 Loss_D_fake 0.003002
[917/5000][440/535][94530] Loss_D: -0.022883 Loss_G: 0.022649 Loss_D_real: -0.029162 Loss_D_fake -0.006278
[917/5000][445/535][94531] Loss_D: -0.023039 Loss_G: 0.004762 Loss_D_real: -0.014370 Loss_D_fake 0.008669
[917/5000][450/535][94532] Loss_D: -0.022553 Loss_G: 0.018766 Loss_D_real: -0.018483 Loss_D_fake 0.004070
[917/5000][455/535][94533] Loss_D: -0.021769 Loss_G: 0.016386 Loss_D_real: -0.027143 Loss_D_fake -0.005375
[917/5000][460/535][94534] Loss_D: -0.021175 Loss_G: -0.007420 Loss_D_real: 0.006868 Loss_D_fake 0.028043
[917/5000][465/535][94535] Loss_D: -0.022849 Loss_G: -0.003381 Loss_D_real: -0.023975 Loss_D_fake -0.001126
[917/5000][470/535][94536] Loss_D: -0.020505 Loss_G: 0.000621 Loss_D_real: -0.014964 Loss_D_fake 0.005541
[917/5000][475/535][94537] Loss_D: -0.023737 Loss_G: 0.014395 Loss_D_real: -0.025950 Loss_D_fake -0.002213
[917/5000][480/535][94538] Loss_D: -0.022006 Loss_G: 0.007891 Loss_D_real: -0.022802 Loss_D_fake -0.000796
[917/5000][485/535][94539] Loss_D: -0.020429 Loss_G: -0.008323 Loss_D_real: -0.006498 Loss_D_fake 0.013931
[917/5000][490/535][94540] Loss_D: -0.022270 Loss_G: 0.010671 Loss_D_real: -0.018378 Loss_D_fake 0.003892
[917/5000][495/535][94541] Loss_D: -0.022235 Loss_G: 0.003601 Loss_D_real: -0.003639 Loss_D_fake 0.018596
[917/5000][500/535][94542] Loss_D: -0.023779 Loss_G: -0.002833 Loss_D_real: -0.002718 Loss_D_fake 0.021061
[917/5000][505/535][94543] Loss_D: -0.021580 Loss_G: -0.003736 Loss_D_real: -0.015483 Loss_D_fake 0.006098
[917/5000][510/535][94544] Loss_D: -0.021882 Loss_G: 0.019515 Loss_D_real: -0.026886 Loss_D_fake -0.005004
[917/5000][515/535][94545] Loss_D: -0.022459 Loss_G: -0.001935 Loss_D_real: -0.010437 Loss_D_fake 0.012022
[917/5000][520/535][94546] Loss_D: -0.022785 Loss_G: -0.000427 Loss_D_real: -0.011147 Loss_D_fake 0.011638
[917/5000][525/535][94547] Loss_D: -0.022799 Loss_G: 0.013660 Loss_D_real: -0.026874 Loss_D_fake -0.004075
[917/5000][530/535][94548] Loss_D: -0.022756 Loss_G: -0.022401 Loss_D_real: -0.002540 Loss_D_fake 0.020216
[917/5000][535/535][94549] Loss_D: -0.021278 Loss_G: -0.002109 Loss_D_real: -0.014094 Loss_D_fake 0.007184
[918/5000][5/535][94550] Loss_D: -0.022444 Loss_G: 0.015966 Loss_D_real: -0.018162 Loss_D_fake 0.004282
[918/5000][10/535][94551] Loss_D: -0.022267 Loss_G: -0.002693 Loss_D_real: -0.013930 Loss_D_fake 0.008337
[918/5000][15/535][94552] Loss_D: -0.022236 Loss_G: 0.014856 Loss_D_real: -0.029660 Loss_D_fake -0.007424
[918/5000][20/535][94553] Loss_D: -0.022128 Loss_G: -0.002785 Loss_D_real: -0.015866 Loss_D_fake 0.006262
[918/5000][25/535][94554] Loss_D: -0.021534 Loss_G: 0.006563 Loss_D_real: -0.017435 Loss_D_fake 0.004098
[918/5000][30/535][94555] Loss_D: -0.022231 Loss_G: 0.003224 Loss_D_real: -0.010722 Loss_D_fake 0.011509
[918/5000][35/535][94556] Loss_D: -0.022182 Loss_G: 0.023113 Loss_D_real: -0.025245 Loss_D_fake -0.003063
[918/5000][40/535][94557] Loss_D: -0.022453 Loss_G: -0.021802 Loss_D_real: -0.003543 Loss_D_fake 0.018910
[918/5000][45/535][94558] Loss_D: -0.021906 Loss_G: 0.012876 Loss_D_real: -0.017707 Loss_D_fake 0.004199
[918/5000][50/535][94559] Loss_D: -0.023006 Loss_G: 0.014244 Loss_D_real: -0.021676 Loss_D_fake 0.001329
[918/5000][55/535][94560] Loss_D: -0.022393 Loss_G: 0.008113 Loss_D_real: -0.005260 Loss_D_fake 0.017133
[918/5000][60/535][94561] Loss_D: -0.022474 Loss_G: 0.003395 Loss_D_real: -0.024406 Loss_D_fake -0.001932
[918/5000][65/535][94562] Loss_D: -0.021301 Loss_G: 0.015569 Loss_D_real: -0.022444 Loss_D_fake -0.001143
[918/5000][70/535][94563] Loss_D: -0.023089 Loss_G: 0.003851 Loss_D_real: -0.021631 Loss_D_fake 0.001459
[918/5000][75/535][94564] Loss_D: -0.022384 Loss_G: 0.015587 Loss_D_real: -0.029290 Loss_D_fake -0.006906
[918/5000][80/535][94565] Loss_D: -0.022360 Loss_G: 0.018890 Loss_D_real: -0.018952 Loss_D_fake 0.003408
[918/5000][85/535][94566] Loss_D: -0.022276 Loss_G: -0.007391 Loss_D_real: -0.009235 Loss_D_fake 0.013041
[918/5000][90/535][94567] Loss_D: -0.022739 Loss_G: 0.026618 Loss_D_real: -0.017225 Loss_D_fake 0.005514
[918/5000][95/535][94568] Loss_D: -0.022023 Loss_G: -0.012567 Loss_D_real: -0.008764 Loss_D_fake 0.013259
[918/5000][100/535][94569] Loss_D: -0.022200 Loss_G: 0.002331 Loss_D_real: -0.014219 Loss_D_fake 0.007981
[918/5000][105/535][94570] Loss_D: -0.022965 Loss_G: -0.002253 Loss_D_real: -0.009943 Loss_D_fake 0.013022
[918/5000][110/535][94571] Loss_D: -0.022574 Loss_G: -0.009709 Loss_D_real: -0.012534 Loss_D_fake 0.010039
[918/5000][115/535][94572] Loss_D: -0.022328 Loss_G: -0.011018 Loss_D_real: 0.007873 Loss_D_fake 0.030201
[918/5000][120/535][94573] Loss_D: -0.023320 Loss_G: 0.004021 Loss_D_real: -0.024523 Loss_D_fake -0.001203
[918/5000][125/535][94574] Loss_D: -0.020692 Loss_G: 0.035283 Loss_D_real: -0.027054 Loss_D_fake -0.006362
[918/5000][130/535][94575] Loss_D: -0.022313 Loss_G: 0.005961 Loss_D_real: -0.016742 Loss_D_fake 0.005571
[918/5000][135/535][94576] Loss_D: -0.020729 Loss_G: 0.019834 Loss_D_real: -0.029872 Loss_D_fake -0.009143
[918/5000][140/535][94577] Loss_D: -0.021536 Loss_G: -0.008406 Loss_D_real: 0.004205 Loss_D_fake 0.025742
[918/5000][145/535][94578] Loss_D: -0.022036 Loss_G: 0.009441 Loss_D_real: -0.016434 Loss_D_fake 0.005602
[918/5000][150/535][94579] Loss_D: -0.020901 Loss_G: 0.008688 Loss_D_real: -0.025711 Loss_D_fake -0.004810
[918/5000][155/535][94580] Loss_D: -0.021463 Loss_G: -0.006895 Loss_D_real: 0.002428 Loss_D_fake 0.023891
[918/5000][160/535][94581] Loss_D: -0.021284 Loss_G: 0.001661 Loss_D_real: -0.002623 Loss_D_fake 0.018661
[918/5000][165/535][94582] Loss_D: -0.021518 Loss_G: 0.021216 Loss_D_real: -0.028321 Loss_D_fake -0.006803
[918/5000][170/535][94583] Loss_D: -0.023460 Loss_G: 0.008438 Loss_D_real: -0.015661 Loss_D_fake 0.007799
[918/5000][175/535][94584] Loss_D: -0.022222 Loss_G: 0.007243 Loss_D_real: -0.019236 Loss_D_fake 0.002987
[918/5000][180/535][94585] Loss_D: -0.022177 Loss_G: 0.013188 Loss_D_real: -0.010940 Loss_D_fake 0.011237
[918/5000][185/535][94586] Loss_D: -0.022252 Loss_G: 0.005330 Loss_D_real: -0.025857 Loss_D_fake -0.003604
[918/5000][190/535][94587] Loss_D: -0.022520 Loss_G: -0.015629 Loss_D_real: -0.011702 Loss_D_fake 0.010818
[918/5000][195/535][94588] Loss_D: -0.022406 Loss_G: 0.001536 Loss_D_real: -0.004873 Loss_D_fake 0.017532
[918/5000][200/535][94589] Loss_D: -0.022234 Loss_G: -0.005467 Loss_D_real: -0.012880 Loss_D_fake 0.009354
[918/5000][205/535][94590] Loss_D: -0.022390 Loss_G: 0.024603 Loss_D_real: -0.023423 Loss_D_fake -0.001033
[918/5000][210/535][94591] Loss_D: -0.022345 Loss_G: 0.012888 Loss_D_real: -0.024993 Loss_D_fake -0.002648
[918/5000][215/535][94592] Loss_D: -0.021872 Loss_G: 0.005469 Loss_D_real: -0.017560 Loss_D_fake 0.004312
[918/5000][220/535][94593] Loss_D: -0.021995 Loss_G: 0.009709 Loss_D_real: -0.024847 Loss_D_fake -0.002853
[918/5000][225/535][94594] Loss_D: -0.022323 Loss_G: 0.006643 Loss_D_real: -0.019556 Loss_D_fake 0.002767
[918/5000][230/535][94595] Loss_D: -0.022802 Loss_G: -0.000306 Loss_D_real: -0.010926 Loss_D_fake 0.011876
[918/5000][235/535][94596] Loss_D: -0.021893 Loss_G: -0.011114 Loss_D_real: -0.022827 Loss_D_fake -0.000934
[918/5000][240/535][94597] Loss_D: -0.022451 Loss_G: 0.005197 Loss_D_real: -0.012258 Loss_D_fake 0.010194
[918/5000][245/535][94598] Loss_D: -0.022110 Loss_G: 0.012431 Loss_D_real: -0.021658 Loss_D_fake 0.000451
[918/5000][250/535][94599] Loss_D: -0.022602 Loss_G: 0.004592 Loss_D_real: -0.029512 Loss_D_fake -0.006910
[918/5000][255/535][94600] Loss_D: -0.021804 Loss_G: 0.027845 Loss_D_real: -0.026101 Loss_D_fake -0.004297
[918/5000][260/535][94601] Loss_D: -0.021825 Loss_G: -0.006637 Loss_D_real: -0.002616 Loss_D_fake 0.019209
[918/5000][265/535][94602] Loss_D: -0.021169 Loss_G: 0.017333 Loss_D_real: -0.032161 Loss_D_fake -0.010992
[918/5000][270/535][94603] Loss_D: -0.022075 Loss_G: 0.003615 Loss_D_real: -0.014272 Loss_D_fake 0.007803
[918/5000][275/535][94604] Loss_D: -0.022475 Loss_G: -0.012378 Loss_D_real: -0.009807 Loss_D_fake 0.012668
[918/5000][280/535][94605] Loss_D: -0.022026 Loss_G: 0.014353 Loss_D_real: -0.022675 Loss_D_fake -0.000650
[918/5000][285/535][94606] Loss_D: -0.023119 Loss_G: 0.005849 Loss_D_real: -0.007452 Loss_D_fake 0.015667
[918/5000][290/535][94607] Loss_D: -0.023860 Loss_G: 0.017224 Loss_D_real: -0.019354 Loss_D_fake 0.004506
[918/5000][295/535][94608] Loss_D: -0.024270 Loss_G: -0.001554 Loss_D_real: -0.022948 Loss_D_fake 0.001322
[918/5000][300/535][94609] Loss_D: -0.022768 Loss_G: 0.001028 Loss_D_real: -0.013026 Loss_D_fake 0.009742
[918/5000][305/535][94610] Loss_D: -0.023435 Loss_G: 0.019212 Loss_D_real: -0.012718 Loss_D_fake 0.010717
[918/5000][310/535][94611] Loss_D: -0.022475 Loss_G: 0.021316 Loss_D_real: -0.028595 Loss_D_fake -0.006121
[918/5000][315/535][94612] Loss_D: -0.022940 Loss_G: -0.008961 Loss_D_real: -0.010374 Loss_D_fake 0.012566
[918/5000][320/535][94613] Loss_D: -0.021374 Loss_G: -0.006295 Loss_D_real: -0.011504 Loss_D_fake 0.009871
[918/5000][325/535][94614] Loss_D: -0.021401 Loss_G: -0.000840 Loss_D_real: -0.008653 Loss_D_fake 0.012747
[918/5000][330/535][94615] Loss_D: -0.020140 Loss_G: -0.002967 Loss_D_real: -0.004043 Loss_D_fake 0.016098
[918/5000][335/535][94616] Loss_D: -0.022319 Loss_G: 0.009274 Loss_D_real: -0.026378 Loss_D_fake -0.004059
[918/5000][340/535][94617] Loss_D: -0.022648 Loss_G: 0.003775 Loss_D_real: -0.016658 Loss_D_fake 0.005990
[918/5000][345/535][94618] Loss_D: -0.022363 Loss_G: 0.008303 Loss_D_real: -0.006085 Loss_D_fake 0.016278
[918/5000][350/535][94619] Loss_D: -0.021886 Loss_G: 0.015019 Loss_D_real: -0.030114 Loss_D_fake -0.008228
[918/5000][355/535][94620] Loss_D: -0.023113 Loss_G: 0.009031 Loss_D_real: -0.016008 Loss_D_fake 0.007105
[918/5000][360/535][94621] Loss_D: -0.021232 Loss_G: 0.023992 Loss_D_real: -0.026424 Loss_D_fake -0.005192
[918/5000][365/535][94622] Loss_D: -0.021641 Loss_G: 0.009642 Loss_D_real: -0.015588 Loss_D_fake 0.006053
[918/5000][370/535][94623] Loss_D: -0.021979 Loss_G: 0.014385 Loss_D_real: -0.024158 Loss_D_fake -0.002180
[918/5000][375/535][94624] Loss_D: -0.021330 Loss_G: 0.002197 Loss_D_real: -0.007037 Loss_D_fake 0.014293
[918/5000][380/535][94625] Loss_D: -0.022244 Loss_G: 0.010944 Loss_D_real: -0.017130 Loss_D_fake 0.005114
[918/5000][385/535][94626] Loss_D: -0.022397 Loss_G: -0.006090 Loss_D_real: -0.017849 Loss_D_fake 0.004549
[918/5000][390/535][94627] Loss_D: -0.022161 Loss_G: 0.016052 Loss_D_real: -0.015707 Loss_D_fake 0.006454
[918/5000][395/535][94628] Loss_D: -0.021653 Loss_G: -0.009577 Loss_D_real: -0.005486 Loss_D_fake 0.016167
[918/5000][400/535][94629] Loss_D: -0.020820 Loss_G: 0.021563 Loss_D_real: -0.025354 Loss_D_fake -0.004534
[918/5000][405/535][94630] Loss_D: -0.022163 Loss_G: -0.010343 Loss_D_real: -0.003111 Loss_D_fake 0.019051
[918/5000][410/535][94631] Loss_D: -0.021234 Loss_G: -0.001214 Loss_D_real: -0.020120 Loss_D_fake 0.001114
[918/5000][415/535][94632] Loss_D: -0.023279 Loss_G: 0.018589 Loss_D_real: -0.028886 Loss_D_fake -0.005607
[918/5000][420/535][94633] Loss_D: -0.022351 Loss_G: 0.013274 Loss_D_real: -0.024871 Loss_D_fake -0.002520
[918/5000][425/535][94634] Loss_D: -0.024080 Loss_G: -0.009422 Loss_D_real: -0.001945 Loss_D_fake 0.022135
[918/5000][430/535][94635] Loss_D: -0.022093 Loss_G: 0.012820 Loss_D_real: -0.019638 Loss_D_fake 0.002455
[918/5000][435/535][94636] Loss_D: -0.021137 Loss_G: 0.014979 Loss_D_real: -0.040742 Loss_D_fake -0.019604
[918/5000][440/535][94637] Loss_D: -0.022635 Loss_G: 0.000855 Loss_D_real: -0.014598 Loss_D_fake 0.008037
[918/5000][445/535][94638] Loss_D: -0.022024 Loss_G: 0.019598 Loss_D_real: -0.023011 Loss_D_fake -0.000988
[918/5000][450/535][94639] Loss_D: -0.021255 Loss_G: -0.009027 Loss_D_real: -0.000977 Loss_D_fake 0.020278
[918/5000][455/535][94640] Loss_D: -0.024167 Loss_G: 0.017808 Loss_D_real: -0.016600 Loss_D_fake 0.007567
[918/5000][460/535][94641] Loss_D: -0.021237 Loss_G: 0.023932 Loss_D_real: -0.029411 Loss_D_fake -0.008174
[918/5000][465/535][94642] Loss_D: -0.023085 Loss_G: -0.002048 Loss_D_real: -0.011693 Loss_D_fake 0.011392
[918/5000][470/535][94643] Loss_D: -0.022510 Loss_G: -0.005897 Loss_D_real: -0.010211 Loss_D_fake 0.012299
[918/5000][475/535][94644] Loss_D: -0.021793 Loss_G: 0.022494 Loss_D_real: -0.027141 Loss_D_fake -0.005348
[918/5000][480/535][94645] Loss_D: -0.023572 Loss_G: 0.002972 Loss_D_real: -0.012259 Loss_D_fake 0.011313
[918/5000][485/535][94646] Loss_D: -0.021190 Loss_G: -0.005448 Loss_D_real: -0.013267 Loss_D_fake 0.007924
[918/5000][490/535][94647] Loss_D: -0.022061 Loss_G: -0.002704 Loss_D_real: -0.020238 Loss_D_fake 0.001824
[918/5000][495/535][94648] Loss_D: -0.022681 Loss_G: -0.005015 Loss_D_real: -0.008709 Loss_D_fake 0.013971
[918/5000][500/535][94649] Loss_D: -0.021462 Loss_G: 0.027707 Loss_D_real: -0.029275 Loss_D_fake -0.007813
[918/5000][505/535][94650] Loss_D: -0.022854 Loss_G: 0.001818 Loss_D_real: -0.015047 Loss_D_fake 0.007807
[918/5000][510/535][94651] Loss_D: -0.020760 Loss_G: 0.027907 Loss_D_real: -0.034507 Loss_D_fake -0.013747
[918/5000][515/535][94652] Loss_D: -0.021933 Loss_G: -0.004370 Loss_D_real: -0.006192 Loss_D_fake 0.015741
[918/5000][520/535][94653] Loss_D: -0.021751 Loss_G: 0.019871 Loss_D_real: -0.018549 Loss_D_fake 0.003202
[918/5000][525/535][94654] Loss_D: -0.022467 Loss_G: -0.003395 Loss_D_real: -0.007449 Loss_D_fake 0.015017
[918/5000][530/535][94655] Loss_D: -0.022753 Loss_G: 0.002474 Loss_D_real: -0.008255 Loss_D_fake 0.014498
[918/5000][535/535][94656] Loss_D: -0.023024 Loss_G: -0.009536 Loss_D_real: -0.013071 Loss_D_fake 0.009953
[919/5000][5/535][94657] Loss_D: -0.021862 Loss_G: 0.004284 Loss_D_real: 0.000926 Loss_D_fake 0.022789
[919/5000][10/535][94658] Loss_D: -0.022024 Loss_G: -0.002990 Loss_D_real: -0.006396 Loss_D_fake 0.015628
[919/5000][15/535][94659] Loss_D: -0.022582 Loss_G: 0.023250 Loss_D_real: -0.020480 Loss_D_fake 0.002102
[919/5000][20/535][94660] Loss_D: -0.021953 Loss_G: 0.005631 Loss_D_real: -0.026580 Loss_D_fake -0.004626
[919/5000][25/535][94661] Loss_D: -0.021685 Loss_G: 0.019745 Loss_D_real: -0.030369 Loss_D_fake -0.008684
[919/5000][30/535][94662] Loss_D: -0.021523 Loss_G: 0.017513 Loss_D_real: -0.020559 Loss_D_fake 0.000964
[919/5000][35/535][94663] Loss_D: -0.022512 Loss_G: -0.015054 Loss_D_real: -0.010200 Loss_D_fake 0.012312
[919/5000][40/535][94664] Loss_D: -0.021733 Loss_G: -0.000440 Loss_D_real: -0.016433 Loss_D_fake 0.005300
[919/5000][45/535][94665] Loss_D: -0.020226 Loss_G: -0.021702 Loss_D_real: 0.001489 Loss_D_fake 0.021715
[919/5000][50/535][94666] Loss_D: -0.021054 Loss_G: -0.009287 Loss_D_real: -0.023543 Loss_D_fake -0.002489
[919/5000][55/535][94667] Loss_D: -0.021223 Loss_G: 0.008570 Loss_D_real: -0.017745 Loss_D_fake 0.003477
[919/5000][60/535][94668] Loss_D: -0.021758 Loss_G: 0.004375 Loss_D_real: -0.008775 Loss_D_fake 0.012983
[919/5000][65/535][94669] Loss_D: -0.024184 Loss_G: 0.024889 Loss_D_real: -0.018378 Loss_D_fake 0.005806
[919/5000][70/535][94670] Loss_D: -0.023131 Loss_G: 0.016026 Loss_D_real: -0.014066 Loss_D_fake 0.009065
[919/5000][75/535][94671] Loss_D: -0.022268 Loss_G: -0.004235 Loss_D_real: -0.006291 Loss_D_fake 0.015976
[919/5000][80/535][94672] Loss_D: -0.021260 Loss_G: 0.005139 Loss_D_real: -0.016612 Loss_D_fake 0.004648
[919/5000][85/535][94673] Loss_D: -0.023512 Loss_G: 0.008906 Loss_D_real: -0.016632 Loss_D_fake 0.006879
[919/5000][90/535][94674] Loss_D: -0.023606 Loss_G: 0.011659 Loss_D_real: -0.027870 Loss_D_fake -0.004264
[919/5000][95/535][94675] Loss_D: -0.021970 Loss_G: -0.014255 Loss_D_real: -0.001219 Loss_D_fake 0.020751
[919/5000][100/535][94676] Loss_D: -0.022537 Loss_G: 0.007006 Loss_D_real: -0.026734 Loss_D_fake -0.004197
[919/5000][105/535][94677] Loss_D: -0.022117 Loss_G: 0.033052 Loss_D_real: -0.027806 Loss_D_fake -0.005689
[919/5000][110/535][94678] Loss_D: -0.022887 Loss_G: 0.008005 Loss_D_real: -0.015732 Loss_D_fake 0.007156
[919/5000][115/535][94679] Loss_D: -0.023185 Loss_G: 0.010421 Loss_D_real: -0.030522 Loss_D_fake -0.007338
[919/5000][120/535][94680] Loss_D: -0.022294 Loss_G: 0.007672 Loss_D_real: -0.018496 Loss_D_fake 0.003798
[919/5000][125/535][94681] Loss_D: -0.022360 Loss_G: 0.025950 Loss_D_real: -0.026666 Loss_D_fake -0.004307
[919/5000][130/535][94682] Loss_D: -0.022016 Loss_G: 0.006860 Loss_D_real: -0.002163 Loss_D_fake 0.019852
[919/5000][135/535][94683] Loss_D: -0.022753 Loss_G: 0.014229 Loss_D_real: -0.023402 Loss_D_fake -0.000649
[919/5000][140/535][94684] Loss_D: -0.021294 Loss_G: -0.002226 Loss_D_real: -0.005333 Loss_D_fake 0.015961
[919/5000][145/535][94685] Loss_D: -0.022594 Loss_G: 0.005594 Loss_D_real: -0.022117 Loss_D_fake 0.000477
[919/5000][150/535][94686] Loss_D: -0.023034 Loss_G: 0.009091 Loss_D_real: -0.025138 Loss_D_fake -0.002104
[919/5000][155/535][94687] Loss_D: -0.021459 Loss_G: 0.014516 Loss_D_real: -0.019629 Loss_D_fake 0.001829
[919/5000][160/535][94688] Loss_D: -0.023190 Loss_G: -0.003302 Loss_D_real: -0.014425 Loss_D_fake 0.008765
[919/5000][165/535][94689] Loss_D: -0.022951 Loss_G: 0.015395 Loss_D_real: -0.021067 Loss_D_fake 0.001885
[919/5000][170/535][94690] Loss_D: -0.022905 Loss_G: 0.016296 Loss_D_real: -0.015611 Loss_D_fake 0.007294
[919/5000][175/535][94691] Loss_D: -0.022744 Loss_G: 0.002045 Loss_D_real: 0.002983 Loss_D_fake 0.025728
[919/5000][180/535][94692] Loss_D: -0.023457 Loss_G: -0.004691 Loss_D_real: -0.015961 Loss_D_fake 0.007496
[919/5000][185/535][94693] Loss_D: -0.022823 Loss_G: -0.002777 Loss_D_real: -0.011926 Loss_D_fake 0.010897
[919/5000][190/535][94694] Loss_D: -0.022759 Loss_G: 0.015649 Loss_D_real: -0.014507 Loss_D_fake 0.008253
[919/5000][195/535][94695] Loss_D: -0.021405 Loss_G: 0.023141 Loss_D_real: -0.030346 Loss_D_fake -0.008941
[919/5000][200/535][94696] Loss_D: -0.022070 Loss_G: -0.005577 Loss_D_real: -0.012925 Loss_D_fake 0.009145
[919/5000][205/535][94697] Loss_D: -0.022136 Loss_G: 0.023737 Loss_D_real: -0.030608 Loss_D_fake -0.008472
[919/5000][210/535][94698] Loss_D: -0.021356 Loss_G: 0.000777 Loss_D_real: -0.006462 Loss_D_fake 0.014894
[919/5000][215/535][94699] Loss_D: -0.022004 Loss_G: 0.003807 Loss_D_real: -0.014023 Loss_D_fake 0.007980
[919/5000][220/535][94700] Loss_D: -0.022908 Loss_G: 0.000018 Loss_D_real: -0.009224 Loss_D_fake 0.013685
[919/5000][225/535][94701] Loss_D: -0.023112 Loss_G: 0.015279 Loss_D_real: -0.016821 Loss_D_fake 0.006291
[919/5000][230/535][94702] Loss_D: -0.023292 Loss_G: 0.017465 Loss_D_real: -0.034859 Loss_D_fake -0.011567
[919/5000][235/535][94703] Loss_D: -0.021992 Loss_G: -0.003340 Loss_D_real: -0.005580 Loss_D_fake 0.016412
[919/5000][240/535][94704] Loss_D: -0.021293 Loss_G: 0.004075 Loss_D_real: -0.014687 Loss_D_fake 0.006605
[919/5000][245/535][94705] Loss_D: -0.021902 Loss_G: 0.006173 Loss_D_real: -0.022999 Loss_D_fake -0.001097
[919/5000][250/535][94706] Loss_D: -0.022691 Loss_G: 0.007359 Loss_D_real: -0.009262 Loss_D_fake 0.013429
[919/5000][255/535][94707] Loss_D: -0.022873 Loss_G: 0.008288 Loss_D_real: -0.014629 Loss_D_fake 0.008244
[919/5000][260/535][94708] Loss_D: -0.022849 Loss_G: 0.009280 Loss_D_real: -0.035063 Loss_D_fake -0.012214
[919/5000][265/535][94709] Loss_D: -0.023644 Loss_G: -0.004095 Loss_D_real: -0.010822 Loss_D_fake 0.012822
[919/5000][270/535][94710] Loss_D: -0.022257 Loss_G: 0.017300 Loss_D_real: -0.017894 Loss_D_fake 0.004363
[919/5000][275/535][94711] Loss_D: -0.022596 Loss_G: 0.001813 Loss_D_real: -0.020032 Loss_D_fake 0.002565
[919/5000][280/535][94712] Loss_D: -0.022714 Loss_G: -0.002893 Loss_D_real: -0.007263 Loss_D_fake 0.015451
[919/5000][285/535][94713] Loss_D: -0.021969 Loss_G: 0.006733 Loss_D_real: -0.021528 Loss_D_fake 0.000440
[919/5000][290/535][94714] Loss_D: -0.022892 Loss_G: 0.017428 Loss_D_real: -0.015956 Loss_D_fake 0.006936
[919/5000][295/535][94715] Loss_D: -0.020086 Loss_G: 0.031626 Loss_D_real: -0.027087 Loss_D_fake -0.007001
[919/5000][300/535][94716] Loss_D: -0.022309 Loss_G: -0.009921 Loss_D_real: -0.007216 Loss_D_fake 0.015094
[919/5000][305/535][94717] Loss_D: -0.021971 Loss_G: 0.001943 Loss_D_real: -0.012136 Loss_D_fake 0.009835
[919/5000][310/535][94718] Loss_D: -0.021604 Loss_G: -0.008137 Loss_D_real: -0.011360 Loss_D_fake 0.010244
[919/5000][315/535][94719] Loss_D: -0.020751 Loss_G: 0.013409 Loss_D_real: -0.018181 Loss_D_fake 0.002570
[919/5000][320/535][94720] Loss_D: -0.022380 Loss_G: 0.018186 Loss_D_real: -0.028996 Loss_D_fake -0.006616
[919/5000][325/535][94721] Loss_D: -0.022245 Loss_G: 0.001785 Loss_D_real: -0.005384 Loss_D_fake 0.016862
[919/5000][330/535][94722] Loss_D: -0.021375 Loss_G: 0.023348 Loss_D_real: -0.039603 Loss_D_fake -0.018228
[919/5000][335/535][94723] Loss_D: -0.022305 Loss_G: 0.014759 Loss_D_real: -0.026260 Loss_D_fake -0.003956
[919/5000][340/535][94724] Loss_D: -0.022674 Loss_G: 0.003221 Loss_D_real: -0.015620 Loss_D_fake 0.007054
[919/5000][345/535][94725] Loss_D: -0.022155 Loss_G: 0.003100 Loss_D_real: -0.015358 Loss_D_fake 0.006798
[919/5000][350/535][94726] Loss_D: -0.022515 Loss_G: 0.013513 Loss_D_real: -0.028302 Loss_D_fake -0.005787
[919/5000][355/535][94727] Loss_D: -0.022500 Loss_G: -0.003669 Loss_D_real: -0.015587 Loss_D_fake 0.006912
[919/5000][360/535][94728] Loss_D: -0.021733 Loss_G: 0.015273 Loss_D_real: -0.022310 Loss_D_fake -0.000577
[919/5000][365/535][94729] Loss_D: -0.021985 Loss_G: 0.009458 Loss_D_real: -0.019418 Loss_D_fake 0.002567
[919/5000][370/535][94730] Loss_D: -0.023204 Loss_G: 0.021393 Loss_D_real: -0.025895 Loss_D_fake -0.002691
[919/5000][375/535][94731] Loss_D: -0.023430 Loss_G: 0.021155 Loss_D_real: -0.018790 Loss_D_fake 0.004640
[919/5000][380/535][94732] Loss_D: -0.023544 Loss_G: 0.008285 Loss_D_real: -0.015275 Loss_D_fake 0.008269
[919/5000][385/535][94733] Loss_D: -0.023179 Loss_G: -0.009926 Loss_D_real: -0.006740 Loss_D_fake 0.016438
[919/5000][390/535][94734] Loss_D: -0.021388 Loss_G: -0.013020 Loss_D_real: -0.002207 Loss_D_fake 0.019181
[919/5000][395/535][94735] Loss_D: -0.022535 Loss_G: 0.015705 Loss_D_real: -0.022605 Loss_D_fake -0.000070
[919/5000][400/535][94736] Loss_D: -0.022839 Loss_G: -0.001670 Loss_D_real: -0.019141 Loss_D_fake 0.003698
[919/5000][405/535][94737] Loss_D: -0.021647 Loss_G: 0.019793 Loss_D_real: -0.024889 Loss_D_fake -0.003242
[919/5000][410/535][94738] Loss_D: -0.022461 Loss_G: -0.008185 Loss_D_real: 0.000413 Loss_D_fake 0.022874
[919/5000][415/535][94739] Loss_D: -0.021499 Loss_G: 0.025611 Loss_D_real: -0.035258 Loss_D_fake -0.013759
[919/5000][420/535][94740] Loss_D: -0.020922 Loss_G: 0.028446 Loss_D_real: -0.028215 Loss_D_fake -0.007293
[919/5000][425/535][94741] Loss_D: -0.022910 Loss_G: -0.009350 Loss_D_real: -0.012185 Loss_D_fake 0.010725
[919/5000][430/535][94742] Loss_D: -0.022134 Loss_G: 0.008588 Loss_D_real: -0.015557 Loss_D_fake 0.006577
[919/5000][435/535][94743] Loss_D: -0.023435 Loss_G: 0.020532 Loss_D_real: -0.026784 Loss_D_fake -0.003349
[919/5000][440/535][94744] Loss_D: -0.023263 Loss_G: 0.000476 Loss_D_real: -0.003048 Loss_D_fake 0.020215
[919/5000][445/535][94745] Loss_D: -0.023272 Loss_G: 0.012968 Loss_D_real: -0.017106 Loss_D_fake 0.006166
[919/5000][450/535][94746] Loss_D: -0.022095 Loss_G: -0.005245 Loss_D_real: -0.005209 Loss_D_fake 0.016886
[919/5000][455/535][94747] Loss_D: -0.023294 Loss_G: 0.005970 Loss_D_real: -0.018615 Loss_D_fake 0.004679
[919/5000][460/535][94748] Loss_D: -0.022922 Loss_G: 0.015684 Loss_D_real: -0.024970 Loss_D_fake -0.002049
[919/5000][465/535][94749] Loss_D: -0.022157 Loss_G: 0.005169 Loss_D_real: -0.024447 Loss_D_fake -0.002290
[919/5000][470/535][94750] Loss_D: -0.022122 Loss_G: 0.022300 Loss_D_real: -0.034875 Loss_D_fake -0.012753
[919/5000][475/535][94751] Loss_D: -0.021429 Loss_G: -0.016044 Loss_D_real: -0.003077 Loss_D_fake 0.018352
[919/5000][480/535][94752] Loss_D: -0.021265 Loss_G: 0.014543 Loss_D_real: -0.027801 Loss_D_fake -0.006537
[919/5000][485/535][94753] Loss_D: -0.021932 Loss_G: 0.018530 Loss_D_real: -0.028752 Loss_D_fake -0.006821
[919/5000][490/535][94754] Loss_D: -0.020758 Loss_G: -0.000905 Loss_D_real: -0.003571 Loss_D_fake 0.017187
[919/5000][495/535][94755] Loss_D: -0.017004 Loss_G: 0.025219 Loss_D_real: -0.037075 Loss_D_fake -0.020071
[919/5000][500/535][94756] Loss_D: -0.022508 Loss_G: 0.014225 Loss_D_real: -0.016467 Loss_D_fake 0.006041
[919/5000][505/535][94757] Loss_D: -0.021118 Loss_G: -0.005520 Loss_D_real: -0.027644 Loss_D_fake -0.006526
[919/5000][510/535][94758] Loss_D: -0.021880 Loss_G: 0.009732 Loss_D_real: -0.012820 Loss_D_fake 0.009061
[919/5000][515/535][94759] Loss_D: -0.023073 Loss_G: 0.010242 Loss_D_real: -0.007038 Loss_D_fake 0.016036
[919/5000][520/535][94760] Loss_D: -0.021769 Loss_G: -0.005603 Loss_D_real: -0.005841 Loss_D_fake 0.015927
[919/5000][525/535][94761] Loss_D: -0.023637 Loss_G: 0.023941 Loss_D_real: -0.022675 Loss_D_fake 0.000962
[919/5000][530/535][94762] Loss_D: -0.023138 Loss_G: 0.016854 Loss_D_real: -0.023075 Loss_D_fake 0.000063
[919/5000][535/535][94763] Loss_D: -0.022338 Loss_G: 0.029234 Loss_D_real: -0.008040 Loss_D_fake 0.014298
[920/5000][5/535][94764] Loss_D: -0.023326 Loss_G: -0.008220 Loss_D_real: -0.011181 Loss_D_fake 0.012145
[920/5000][10/535][94765] Loss_D: -0.021947 Loss_G: 0.019045 Loss_D_real: -0.024007 Loss_D_fake -0.002061
[920/5000][15/535][94766] Loss_D: -0.021299 Loss_G: -0.008110 Loss_D_real: -0.012090 Loss_D_fake 0.009209
[920/5000][20/535][94767] Loss_D: -0.023098 Loss_G: 0.010075 Loss_D_real: -0.019260 Loss_D_fake 0.003838
[920/5000][25/535][94768] Loss_D: -0.021667 Loss_G: -0.001687 Loss_D_real: -0.012723 Loss_D_fake 0.008945
[920/5000][30/535][94769] Loss_D: -0.023263 Loss_G: -0.001579 Loss_D_real: -0.019860 Loss_D_fake 0.003403
[920/5000][35/535][94770] Loss_D: -0.023632 Loss_G: -0.000974 Loss_D_real: -0.009362 Loss_D_fake 0.014270
[920/5000][40/535][94771] Loss_D: -0.023476 Loss_G: 0.001501 Loss_D_real: -0.006807 Loss_D_fake 0.016669
[920/5000][45/535][94772] Loss_D: -0.022415 Loss_G: -0.007997 Loss_D_real: -0.020076 Loss_D_fake 0.002340
[920/5000][50/535][94773] Loss_D: -0.021235 Loss_G: 0.000637 Loss_D_real: -0.022339 Loss_D_fake -0.001104
[920/5000][55/535][94774] Loss_D: -0.021816 Loss_G: 0.018328 Loss_D_real: -0.023702 Loss_D_fake -0.001887
[920/5000][60/535][94775] Loss_D: -0.020591 Loss_G: 0.024005 Loss_D_real: -0.035189 Loss_D_fake -0.014598
[920/5000][65/535][94776] Loss_D: -0.022959 Loss_G: -0.000664 Loss_D_real: -0.016942 Loss_D_fake 0.006017
[920/5000][70/535][94777] Loss_D: -0.021334 Loss_G: 0.020661 Loss_D_real: -0.023180 Loss_D_fake -0.001846
[920/5000][75/535][94778] Loss_D: -0.022410 Loss_G: -0.004317 Loss_D_real: -0.015524 Loss_D_fake 0.006886
[920/5000][80/535][94779] Loss_D: -0.022640 Loss_G: -0.000203 Loss_D_real: -0.007687 Loss_D_fake 0.014953
[920/5000][85/535][94780] Loss_D: -0.022434 Loss_G: 0.001083 Loss_D_real: -0.005490 Loss_D_fake 0.016944
[920/5000][90/535][94781] Loss_D: -0.020727 Loss_G: 0.014076 Loss_D_real: -0.023772 Loss_D_fake -0.003045
[920/5000][95/535][94782] Loss_D: -0.022659 Loss_G: 0.022493 Loss_D_real: -0.034826 Loss_D_fake -0.012166
[920/5000][100/535][94783] Loss_D: -0.022294 Loss_G: 0.005638 Loss_D_real: -0.010657 Loss_D_fake 0.011638
[920/5000][105/535][94784] Loss_D: -0.020772 Loss_G: 0.018755 Loss_D_real: -0.032489 Loss_D_fake -0.011717
[920/5000][110/535][94785] Loss_D: -0.022726 Loss_G: 0.004011 Loss_D_real: -0.016203 Loss_D_fake 0.006522
[920/5000][115/535][94786] Loss_D: -0.020800 Loss_G: 0.017278 Loss_D_real: -0.024044 Loss_D_fake -0.003244
[920/5000][120/535][94787] Loss_D: -0.021947 Loss_G: 0.020711 Loss_D_real: -0.028478 Loss_D_fake -0.006532
[920/5000][125/535][94788] Loss_D: -0.022222 Loss_G: 0.006570 Loss_D_real: -0.011273 Loss_D_fake 0.010948
[920/5000][130/535][94789] Loss_D: -0.022163 Loss_G: 0.007645 Loss_D_real: -0.022124 Loss_D_fake 0.000039
[920/5000][135/535][94790] Loss_D: -0.021981 Loss_G: -0.003975 Loss_D_real: 0.000391 Loss_D_fake 0.022372
[920/5000][140/535][94791] Loss_D: -0.022625 Loss_G: 0.000199 Loss_D_real: -0.011545 Loss_D_fake 0.011079
[920/5000][145/535][94792] Loss_D: -0.022450 Loss_G: 0.018273 Loss_D_real: -0.020893 Loss_D_fake 0.001557
[920/5000][150/535][94793] Loss_D: -0.022817 Loss_G: 0.025562 Loss_D_real: -0.025220 Loss_D_fake -0.002404
[920/5000][155/535][94794] Loss_D: -0.021700 Loss_G: 0.005187 Loss_D_real: -0.019101 Loss_D_fake 0.002598
[920/5000][160/535][94795] Loss_D: -0.022420 Loss_G: 0.021289 Loss_D_real: -0.034962 Loss_D_fake -0.012542
[920/5000][165/535][94796] Loss_D: -0.021991 Loss_G: -0.001781 Loss_D_real: -0.009514 Loss_D_fake 0.012477
[920/5000][170/535][94797] Loss_D: -0.021497 Loss_G: 0.001836 Loss_D_real: -0.017313 Loss_D_fake 0.004184
[920/5000][175/535][94798] Loss_D: -0.021600 Loss_G: 0.010894 Loss_D_real: -0.016960 Loss_D_fake 0.004640
[920/5000][180/535][94799] Loss_D: -0.022574 Loss_G: -0.007690 Loss_D_real: -0.003742 Loss_D_fake 0.018832
[920/5000][185/535][94800] Loss_D: -0.022683 Loss_G: 0.016205 Loss_D_real: -0.028798 Loss_D_fake -0.006114
[920/5000][190/535][94801] Loss_D: -0.024080 Loss_G: 0.015148 Loss_D_real: -0.028085 Loss_D_fake -0.004004
[920/5000][195/535][94802] Loss_D: -0.022968 Loss_G: 0.023776 Loss_D_real: -0.027344 Loss_D_fake -0.004376
[920/5000][200/535][94803] Loss_D: -0.023718 Loss_G: 0.003140 Loss_D_real: -0.021273 Loss_D_fake 0.002444
[920/5000][205/535][94804] Loss_D: -0.022939 Loss_G: 0.028381 Loss_D_real: -0.028737 Loss_D_fake -0.005798
[920/5000][210/535][94805] Loss_D: -0.022118 Loss_G: -0.006302 Loss_D_real: -0.009861 Loss_D_fake 0.012257
[920/5000][215/535][94806] Loss_D: -0.022703 Loss_G: 0.019356 Loss_D_real: -0.017254 Loss_D_fake 0.005449
[920/5000][220/535][94807] Loss_D: -0.023117 Loss_G: -0.017322 Loss_D_real: -0.011829 Loss_D_fake 0.011289
[920/5000][225/535][94808] Loss_D: -0.019453 Loss_G: 0.023488 Loss_D_real: -0.029009 Loss_D_fake -0.009556
[920/5000][230/535][94809] Loss_D: -0.021776 Loss_G: -0.005851 Loss_D_real: -0.005209 Loss_D_fake 0.016568
[920/5000][235/535][94810] Loss_D: -0.023223 Loss_G: 0.027439 Loss_D_real: -0.023293 Loss_D_fake -0.000070
[920/5000][240/535][94811] Loss_D: -0.021098 Loss_G: 0.011133 Loss_D_real: -0.023827 Loss_D_fake -0.002729
[920/5000][245/535][94812] Loss_D: -0.022537 Loss_G: 0.006047 Loss_D_real: -0.026145 Loss_D_fake -0.003608
[920/5000][250/535][94813] Loss_D: -0.022140 Loss_G: -0.001390 Loss_D_real: -0.013995 Loss_D_fake 0.008144
[920/5000][255/535][94814] Loss_D: -0.020960 Loss_G: 0.008305 Loss_D_real: -0.016643 Loss_D_fake 0.004317
[920/5000][260/535][94815] Loss_D: -0.022491 Loss_G: -0.003346 Loss_D_real: -0.012455 Loss_D_fake 0.010037
[920/5000][265/535][94816] Loss_D: -0.022345 Loss_G: 0.014454 Loss_D_real: -0.032054 Loss_D_fake -0.009708
[920/5000][270/535][94817] Loss_D: -0.022566 Loss_G: 0.000012 Loss_D_real: -0.015330 Loss_D_fake 0.007236
[920/5000][275/535][94818] Loss_D: -0.021168 Loss_G: 0.022483 Loss_D_real: -0.036862 Loss_D_fake -0.015694
[920/5000][280/535][94819] Loss_D: -0.022177 Loss_G: 0.007368 Loss_D_real: -0.024831 Loss_D_fake -0.002654
[920/5000][285/535][94820] Loss_D: -0.021583 Loss_G: 0.019844 Loss_D_real: -0.021660 Loss_D_fake -0.000077
[920/5000][290/535][94821] Loss_D: -0.023026 Loss_G: 0.001341 Loss_D_real: -0.008083 Loss_D_fake 0.014943
[920/5000][295/535][94822] Loss_D: -0.021239 Loss_G: 0.011615 Loss_D_real: -0.018399 Loss_D_fake 0.002841
[920/5000][300/535][94823] Loss_D: -0.021096 Loss_G: 0.018880 Loss_D_real: -0.034077 Loss_D_fake -0.012981
[920/5000][305/535][94824] Loss_D: -0.023092 Loss_G: 0.005410 Loss_D_real: -0.017607 Loss_D_fake 0.005485
[920/5000][310/535][94825] Loss_D: -0.022930 Loss_G: 0.014350 Loss_D_real: -0.037522 Loss_D_fake -0.014592
[920/5000][315/535][94826] Loss_D: -0.022650 Loss_G: -0.001997 Loss_D_real: -0.012438 Loss_D_fake 0.010212
[920/5000][320/535][94827] Loss_D: -0.022928 Loss_G: -0.002773 Loss_D_real: -0.008904 Loss_D_fake 0.014024
[920/5000][325/535][94828] Loss_D: -0.020471 Loss_G: 0.027375 Loss_D_real: -0.034806 Loss_D_fake -0.014335
[920/5000][330/535][94829] Loss_D: -0.022091 Loss_G: 0.008391 Loss_D_real: -0.022401 Loss_D_fake -0.000310
[920/5000][335/535][94830] Loss_D: -0.022746 Loss_G: 0.017434 Loss_D_real: -0.032891 Loss_D_fake -0.010145
[920/5000][340/535][94831] Loss_D: -0.022337 Loss_G: 0.002693 Loss_D_real: -0.019326 Loss_D_fake 0.003011
[920/5000][345/535][94832] Loss_D: -0.022500 Loss_G: 0.003445 Loss_D_real: -0.014109 Loss_D_fake 0.008392
[920/5000][350/535][94833] Loss_D: -0.022720 Loss_G: 0.012130 Loss_D_real: -0.013042 Loss_D_fake 0.009678
[920/5000][355/535][94834] Loss_D: -0.023743 Loss_G: 0.020031 Loss_D_real: -0.020392 Loss_D_fake 0.003351
[920/5000][360/535][94835] Loss_D: -0.021990 Loss_G: -0.007288 Loss_D_real: -0.005045 Loss_D_fake 0.016945
[920/5000][365/535][94836] Loss_D: -0.022168 Loss_G: 0.022171 Loss_D_real: -0.027537 Loss_D_fake -0.005369
[920/5000][370/535][94837] Loss_D: -0.021870 Loss_G: 0.011977 Loss_D_real: -0.015955 Loss_D_fake 0.005916
[920/5000][375/535][94838] Loss_D: -0.021119 Loss_G: 0.017166 Loss_D_real: -0.028099 Loss_D_fake -0.006979
[920/5000][380/535][94839] Loss_D: -0.021416 Loss_G: 0.000070 Loss_D_real: -0.017135 Loss_D_fake 0.004281
[920/5000][385/535][94840] Loss_D: -0.023405 Loss_G: -0.010178 Loss_D_real: -0.019398 Loss_D_fake 0.004007
[920/5000][390/535][94841] Loss_D: -0.021424 Loss_G: 0.028264 Loss_D_real: -0.027560 Loss_D_fake -0.006136
[920/5000][395/535][94842] Loss_D: -0.022654 Loss_G: 0.010021 Loss_D_real: -0.028727 Loss_D_fake -0.006072
[920/5000][400/535][94843] Loss_D: -0.019911 Loss_G: 0.022140 Loss_D_real: -0.034678 Loss_D_fake -0.014767
[920/5000][405/535][94844] Loss_D: -0.020086 Loss_G: -0.010310 Loss_D_real: -0.002067 Loss_D_fake 0.018019
[920/5000][410/535][94845] Loss_D: -0.022204 Loss_G: -0.000253 Loss_D_real: -0.023328 Loss_D_fake -0.001124
[920/5000][415/535][94846] Loss_D: -0.021952 Loss_G: 0.016401 Loss_D_real: -0.028867 Loss_D_fake -0.006915
[920/5000][420/535][94847] Loss_D: -0.021906 Loss_G: 0.012940 Loss_D_real: -0.022915 Loss_D_fake -0.001009
[920/5000][425/535][94848] Loss_D: -0.021820 Loss_G: 0.012763 Loss_D_real: -0.020801 Loss_D_fake 0.001020
[920/5000][430/535][94849] Loss_D: -0.022304 Loss_G: 0.010134 Loss_D_real: -0.020171 Loss_D_fake 0.002133
[920/5000][435/535][94850] Loss_D: -0.022626 Loss_G: -0.007259 Loss_D_real: -0.012780 Loss_D_fake 0.009846
[920/5000][440/535][94851] Loss_D: -0.023519 Loss_G: 0.020602 Loss_D_real: -0.021634 Loss_D_fake 0.001886
[920/5000][445/535][94852] Loss_D: -0.023941 Loss_G: -0.002839 Loss_D_real: -0.008372 Loss_D_fake 0.015570
[920/5000][450/535][94853] Loss_D: -0.022614 Loss_G: 0.009734 Loss_D_real: -0.002732 Loss_D_fake 0.019882
[920/5000][455/535][94854] Loss_D: -0.021069 Loss_G: 0.001863 Loss_D_real: -0.023303 Loss_D_fake -0.002234
[920/5000][460/535][94855] Loss_D: -0.022754 Loss_G: 0.007714 Loss_D_real: -0.012944 Loss_D_fake 0.009810
[920/5000][465/535][94856] Loss_D: -0.022574 Loss_G: 0.006687 Loss_D_real: -0.016409 Loss_D_fake 0.006165
[920/5000][470/535][94857] Loss_D: -0.023193 Loss_G: 0.002873 Loss_D_real: -0.005339 Loss_D_fake 0.017854
[920/5000][475/535][94858] Loss_D: -0.022932 Loss_G: 0.005951 Loss_D_real: -0.013036 Loss_D_fake 0.009896
[920/5000][480/535][94859] Loss_D: -0.021943 Loss_G: 0.013363 Loss_D_real: -0.021909 Loss_D_fake 0.000034
[920/5000][485/535][94860] Loss_D: -0.022043 Loss_G: 0.014985 Loss_D_real: -0.028487 Loss_D_fake -0.006444
[920/5000][490/535][94861] Loss_D: -0.021895 Loss_G: -0.001473 Loss_D_real: -0.004460 Loss_D_fake 0.017435
[920/5000][495/535][94862] Loss_D: -0.019928 Loss_G: 0.001152 Loss_D_real: -0.024808 Loss_D_fake -0.004880
[920/5000][500/535][94863] Loss_D: -0.021519 Loss_G: 0.022081 Loss_D_real: -0.026836 Loss_D_fake -0.005317
[920/5000][505/535][94864] Loss_D: -0.022115 Loss_G: -0.007113 Loss_D_real: -0.006820 Loss_D_fake 0.015295
[920/5000][510/535][94865] Loss_D: -0.021478 Loss_G: 0.018003 Loss_D_real: -0.029943 Loss_D_fake -0.008466
[920/5000][515/535][94866] Loss_D: -0.022304 Loss_G: 0.008535 Loss_D_real: -0.012197 Loss_D_fake 0.010107
[920/5000][520/535][94867] Loss_D: -0.022387 Loss_G: -0.008746 Loss_D_real: -0.011839 Loss_D_fake 0.010548
[920/5000][525/535][94868] Loss_D: -0.023517 Loss_G: 0.000435 Loss_D_real: -0.016542 Loss_D_fake 0.006975
[920/5000][530/535][94869] Loss_D: -0.021611 Loss_G: 0.016352 Loss_D_real: -0.017077 Loss_D_fake 0.004534
[920/5000][535/535][94870] Loss_D: -0.021581 Loss_G: 0.016912 Loss_D_real: -0.034479 Loss_D_fake -0.012897
[921/5000][5/535][94871] Loss_D: -0.022881 Loss_G: 0.002164 Loss_D_real: -0.017859 Loss_D_fake 0.005022
[921/5000][10/535][94872] Loss_D: -0.021583 Loss_G: 0.023564 Loss_D_real: -0.024365 Loss_D_fake -0.002782
[921/5000][15/535][94873] Loss_D: -0.021820 Loss_G: 0.015334 Loss_D_real: -0.026308 Loss_D_fake -0.004488
[921/5000][20/535][94874] Loss_D: -0.023385 Loss_G: 0.006253 Loss_D_real: -0.022956 Loss_D_fake 0.000429
[921/5000][25/535][94875] Loss_D: -0.021874 Loss_G: 0.008665 Loss_D_real: -0.019682 Loss_D_fake 0.002191
[921/5000][30/535][94876] Loss_D: -0.022583 Loss_G: 0.025221 Loss_D_real: -0.030582 Loss_D_fake -0.007999
[921/5000][35/535][94877] Loss_D: -0.022043 Loss_G: 0.000199 Loss_D_real: -0.011222 Loss_D_fake 0.010821
[921/5000][40/535][94878] Loss_D: -0.021659 Loss_G: 0.017813 Loss_D_real: -0.031401 Loss_D_fake -0.009743
[921/5000][45/535][94879] Loss_D: -0.022597 Loss_G: 0.011749 Loss_D_real: -0.013228 Loss_D_fake 0.009369
[921/5000][50/535][94880] Loss_D: -0.023351 Loss_G: 0.013416 Loss_D_real: -0.022232 Loss_D_fake 0.001119
[921/5000][55/535][94881] Loss_D: -0.021618 Loss_G: -0.008133 Loss_D_real: 0.001278 Loss_D_fake 0.022896
[921/5000][60/535][94882] Loss_D: -0.022297 Loss_G: 0.003148 Loss_D_real: -0.010665 Loss_D_fake 0.011633
[921/5000][65/535][94883] Loss_D: -0.023112 Loss_G: 0.025687 Loss_D_real: -0.018278 Loss_D_fake 0.004834
[921/5000][70/535][94884] Loss_D: -0.022056 Loss_G: -0.004932 Loss_D_real: -0.008441 Loss_D_fake 0.013616
[921/5000][75/535][94885] Loss_D: -0.021971 Loss_G: -0.004457 Loss_D_real: -0.022381 Loss_D_fake -0.000410
[921/5000][80/535][94886] Loss_D: -0.022887 Loss_G: 0.021298 Loss_D_real: -0.016408 Loss_D_fake 0.006479
[921/5000][85/535][94887] Loss_D: -0.021767 Loss_G: 0.016931 Loss_D_real: -0.021270 Loss_D_fake 0.000498
[921/5000][90/535][94888] Loss_D: -0.021762 Loss_G: -0.004377 Loss_D_real: -0.011831 Loss_D_fake 0.009930
[921/5000][95/535][94889] Loss_D: -0.021041 Loss_G: 0.025835 Loss_D_real: -0.031930 Loss_D_fake -0.010889
[921/5000][100/535][94890] Loss_D: -0.022640 Loss_G: 0.005129 Loss_D_real: -0.017494 Loss_D_fake 0.005145
[921/5000][105/535][94891] Loss_D: -0.022580 Loss_G: -0.003725 Loss_D_real: -0.015154 Loss_D_fake 0.007426
[921/5000][110/535][94892] Loss_D: -0.023140 Loss_G: 0.011034 Loss_D_real: -0.014934 Loss_D_fake 0.008207
[921/5000][115/535][94893] Loss_D: -0.020471 Loss_G: -0.013540 Loss_D_real: -0.003279 Loss_D_fake 0.017192
[921/5000][120/535][94894] Loss_D: -0.022347 Loss_G: 0.014424 Loss_D_real: -0.018125 Loss_D_fake 0.004222
[921/5000][125/535][94895] Loss_D: -0.022140 Loss_G: 0.009865 Loss_D_real: -0.018925 Loss_D_fake 0.003215
[921/5000][130/535][94896] Loss_D: -0.021887 Loss_G: 0.007840 Loss_D_real: -0.025397 Loss_D_fake -0.003509
[921/5000][135/535][94897] Loss_D: -0.021994 Loss_G: -0.006018 Loss_D_real: -0.021601 Loss_D_fake 0.000393
[921/5000][140/535][94898] Loss_D: -0.021176 Loss_G: -0.003450 Loss_D_real: -0.014856 Loss_D_fake 0.006320
[921/5000][145/535][94899] Loss_D: -0.022027 Loss_G: 0.025460 Loss_D_real: -0.030575 Loss_D_fake -0.008548
[921/5000][150/535][94900] Loss_D: -0.022444 Loss_G: 0.013148 Loss_D_real: -0.014348 Loss_D_fake 0.008096
[921/5000][155/535][94901] Loss_D: -0.022488 Loss_G: 0.003532 Loss_D_real: -0.014482 Loss_D_fake 0.008006
[921/5000][160/535][94902] Loss_D: -0.023095 Loss_G: 0.007240 Loss_D_real: -0.006797 Loss_D_fake 0.016298
[921/5000][165/535][94903] Loss_D: -0.021493 Loss_G: 0.024211 Loss_D_real: -0.034608 Loss_D_fake -0.013115
[921/5000][170/535][94904] Loss_D: -0.022724 Loss_G: 0.014506 Loss_D_real: -0.017437 Loss_D_fake 0.005287
[921/5000][175/535][94905] Loss_D: -0.022715 Loss_G: 0.022670 Loss_D_real: -0.029453 Loss_D_fake -0.006738
[921/5000][180/535][94906] Loss_D: -0.023034 Loss_G: 0.001572 Loss_D_real: -0.016153 Loss_D_fake 0.006880
[921/5000][185/535][94907] Loss_D: -0.022171 Loss_G: 0.001096 Loss_D_real: -0.022755 Loss_D_fake -0.000584
[921/5000][190/535][94908] Loss_D: -0.021670 Loss_G: 0.016326 Loss_D_real: -0.013567 Loss_D_fake 0.008104
[921/5000][195/535][94909] Loss_D: -0.021915 Loss_G: 0.004564 Loss_D_real: -0.020649 Loss_D_fake 0.001265
[921/5000][200/535][94910] Loss_D: -0.022411 Loss_G: 0.014702 Loss_D_real: -0.020403 Loss_D_fake 0.002008
[921/5000][205/535][94911] Loss_D: -0.021265 Loss_G: -0.012377 Loss_D_real: -0.003823 Loss_D_fake 0.017443
[921/5000][210/535][94912] Loss_D: -0.022418 Loss_G: -0.003646 Loss_D_real: -0.008171 Loss_D_fake 0.014247
[921/5000][215/535][94913] Loss_D: -0.021555 Loss_G: -0.002935 Loss_D_real: -0.005021 Loss_D_fake 0.016534
[921/5000][220/535][94914] Loss_D: -0.021597 Loss_G: 0.006625 Loss_D_real: -0.021535 Loss_D_fake 0.000061
[921/5000][225/535][94915] Loss_D: -0.021928 Loss_G: -0.002054 Loss_D_real: -0.017277 Loss_D_fake 0.004650
[921/5000][230/535][94916] Loss_D: -0.021218 Loss_G: 0.030181 Loss_D_real: -0.032579 Loss_D_fake -0.011361
[921/5000][235/535][94917] Loss_D: -0.022598 Loss_G: 0.008263 Loss_D_real: -0.022998 Loss_D_fake -0.000400
[921/5000][240/535][94918] Loss_D: -0.022102 Loss_G: 0.032760 Loss_D_real: -0.026998 Loss_D_fake -0.004896
[921/5000][245/535][94919] Loss_D: -0.022408 Loss_G: 0.009200 Loss_D_real: -0.023563 Loss_D_fake -0.001154
[921/5000][250/535][94920] Loss_D: -0.022503 Loss_G: 0.008029 Loss_D_real: -0.020107 Loss_D_fake 0.002397
[921/5000][255/535][94921] Loss_D: -0.021422 Loss_G: -0.003050 Loss_D_real: 0.010618 Loss_D_fake 0.032040
[921/5000][260/535][94922] Loss_D: -0.021294 Loss_G: 0.016647 Loss_D_real: -0.023481 Loss_D_fake -0.002186
[921/5000][265/535][94923] Loss_D: -0.022712 Loss_G: 0.003632 Loss_D_real: -0.026604 Loss_D_fake -0.003892
[921/5000][270/535][94924] Loss_D: -0.023827 Loss_G: 0.003467 Loss_D_real: -0.015414 Loss_D_fake 0.008414
[921/5000][275/535][94925] Loss_D: -0.023430 Loss_G: 0.004748 Loss_D_real: -0.010081 Loss_D_fake 0.013349
[921/5000][280/535][94926] Loss_D: -0.023165 Loss_G: -0.006330 Loss_D_real: 0.002930 Loss_D_fake 0.026095
[921/5000][285/535][94927] Loss_D: -0.022537 Loss_G: 0.004132 Loss_D_real: -0.017748 Loss_D_fake 0.004789
[921/5000][290/535][94928] Loss_D: -0.023222 Loss_G: -0.000133 Loss_D_real: -0.022588 Loss_D_fake 0.000634
[921/5000][295/535][94929] Loss_D: -0.022893 Loss_G: 0.016071 Loss_D_real: -0.019852 Loss_D_fake 0.003041
[921/5000][300/535][94930] Loss_D: -0.023156 Loss_G: 0.006062 Loss_D_real: -0.015283 Loss_D_fake 0.007874
[921/5000][305/535][94931] Loss_D: -0.021888 Loss_G: 0.015315 Loss_D_real: -0.015317 Loss_D_fake 0.006571
[921/5000][310/535][94932] Loss_D: -0.021659 Loss_G: 0.001562 Loss_D_real: -0.022088 Loss_D_fake -0.000429
[921/5000][315/535][94933] Loss_D: -0.022501 Loss_G: -0.000287 Loss_D_real: 0.000858 Loss_D_fake 0.023359
[921/5000][320/535][94934] Loss_D: -0.021944 Loss_G: 0.018066 Loss_D_real: -0.022524 Loss_D_fake -0.000579
[921/5000][325/535][94935] Loss_D: -0.024000 Loss_G: 0.010494 Loss_D_real: -0.020689 Loss_D_fake 0.003311
[921/5000][330/535][94936] Loss_D: -0.023238 Loss_G: 0.019723 Loss_D_real: -0.025774 Loss_D_fake -0.002535
[921/5000][335/535][94937] Loss_D: -0.022188 Loss_G: -0.008142 Loss_D_real: -0.021129 Loss_D_fake 0.001059
[921/5000][340/535][94938] Loss_D: -0.022116 Loss_G: 0.021209 Loss_D_real: -0.032147 Loss_D_fake -0.010031
[921/5000][345/535][94939] Loss_D: -0.021854 Loss_G: -0.002653 Loss_D_real: -0.005344 Loss_D_fake 0.016510
[921/5000][350/535][94940] Loss_D: -0.021548 Loss_G: 0.002427 Loss_D_real: -0.013644 Loss_D_fake 0.007905
[921/5000][355/535][94941] Loss_D: -0.021839 Loss_G: -0.001035 Loss_D_real: -0.005180 Loss_D_fake 0.016659
[921/5000][360/535][94942] Loss_D: -0.022332 Loss_G: -0.004915 Loss_D_real: -0.005652 Loss_D_fake 0.016679
[921/5000][365/535][94943] Loss_D: -0.021839 Loss_G: 0.019354 Loss_D_real: -0.031235 Loss_D_fake -0.009396
[921/5000][370/535][94944] Loss_D: -0.023873 Loss_G: 0.032423 Loss_D_real: -0.029896 Loss_D_fake -0.006022
[921/5000][375/535][94945] Loss_D: -0.021871 Loss_G: 0.019253 Loss_D_real: -0.028895 Loss_D_fake -0.007024
[921/5000][380/535][94946] Loss_D: -0.023225 Loss_G: -0.003380 Loss_D_real: -0.013251 Loss_D_fake 0.009974
[921/5000][385/535][94947] Loss_D: -0.022230 Loss_G: 0.018217 Loss_D_real: -0.029581 Loss_D_fake -0.007351
[921/5000][390/535][94948] Loss_D: -0.023123 Loss_G: 0.014847 Loss_D_real: -0.018649 Loss_D_fake 0.004474
[921/5000][395/535][94949] Loss_D: -0.024559 Loss_G: 0.011626 Loss_D_real: -0.030299 Loss_D_fake -0.005740
[921/5000][400/535][94950] Loss_D: -0.022646 Loss_G: -0.011452 Loss_D_real: 0.000317 Loss_D_fake 0.022963
[921/5000][405/535][94951] Loss_D: -0.021903 Loss_G: -0.006385 Loss_D_real: -0.002973 Loss_D_fake 0.018930
[921/5000][410/535][94952] Loss_D: -0.022161 Loss_G: 0.016959 Loss_D_real: -0.023533 Loss_D_fake -0.001372
[921/5000][415/535][94953] Loss_D: -0.021249 Loss_G: 0.002688 Loss_D_real: -0.011747 Loss_D_fake 0.009502
[921/5000][420/535][94954] Loss_D: -0.021997 Loss_G: 0.014825 Loss_D_real: -0.017058 Loss_D_fake 0.004939
[921/5000][425/535][94955] Loss_D: -0.020667 Loss_G: 0.000225 Loss_D_real: -0.016078 Loss_D_fake 0.004588
[921/5000][430/535][94956] Loss_D: -0.021478 Loss_G: 0.010590 Loss_D_real: -0.028885 Loss_D_fake -0.007407
[921/5000][435/535][94957] Loss_D: -0.020585 Loss_G: 0.001738 Loss_D_real: -0.017278 Loss_D_fake 0.003306
[921/5000][440/535][94958] Loss_D: -0.021730 Loss_G: 0.016962 Loss_D_real: -0.023188 Loss_D_fake -0.001458
[921/5000][445/535][94959] Loss_D: -0.021591 Loss_G: -0.007900 Loss_D_real: -0.007969 Loss_D_fake 0.013621
[921/5000][450/535][94960] Loss_D: -0.021838 Loss_G: 0.009070 Loss_D_real: -0.022122 Loss_D_fake -0.000284
[921/5000][455/535][94961] Loss_D: -0.023192 Loss_G: 0.008701 Loss_D_real: -0.017960 Loss_D_fake 0.005232
[921/5000][460/535][94962] Loss_D: -0.022174 Loss_G: 0.011038 Loss_D_real: -0.021410 Loss_D_fake 0.000765
[921/5000][465/535][94963] Loss_D: -0.021850 Loss_G: 0.002808 Loss_D_real: -0.032401 Loss_D_fake -0.010551
[921/5000][470/535][94964] Loss_D: -0.022728 Loss_G: -0.004754 Loss_D_real: -0.010120 Loss_D_fake 0.012608
[921/5000][475/535][94965] Loss_D: -0.022733 Loss_G: 0.013960 Loss_D_real: -0.014170 Loss_D_fake 0.008563
[921/5000][480/535][94966] Loss_D: -0.020968 Loss_G: -0.009318 Loss_D_real: -0.009261 Loss_D_fake 0.011707
[921/5000][485/535][94967] Loss_D: -0.022876 Loss_G: 0.013895 Loss_D_real: -0.013940 Loss_D_fake 0.008935
[921/5000][490/535][94968] Loss_D: -0.022926 Loss_G: 0.000788 Loss_D_real: -0.004407 Loss_D_fake 0.018520
[921/5000][495/535][94969] Loss_D: -0.022729 Loss_G: 0.014927 Loss_D_real: -0.028721 Loss_D_fake -0.005992
[921/5000][500/535][94970] Loss_D: -0.024305 Loss_G: 0.023984 Loss_D_real: -0.024621 Loss_D_fake -0.000317
[921/5000][505/535][94971] Loss_D: -0.022285 Loss_G: 0.013885 Loss_D_real: -0.034214 Loss_D_fake -0.011929
[921/5000][510/535][94972] Loss_D: -0.024207 Loss_G: 0.000370 Loss_D_real: -0.016501 Loss_D_fake 0.007705
[921/5000][515/535][94973] Loss_D: -0.022531 Loss_G: 0.014093 Loss_D_real: -0.026317 Loss_D_fake -0.003785
[921/5000][520/535][94974] Loss_D: -0.021958 Loss_G: 0.001182 Loss_D_real: -0.013220 Loss_D_fake 0.008738
[921/5000][525/535][94975] Loss_D: -0.022525 Loss_G: 0.011743 Loss_D_real: -0.018376 Loss_D_fake 0.004149
[921/5000][530/535][94976] Loss_D: -0.021774 Loss_G: -0.000278 Loss_D_real: 0.002941 Loss_D_fake 0.024716
[921/5000][535/535][94977] Loss_D: -0.021298 Loss_G: 0.016103 Loss_D_real: -0.010361 Loss_D_fake 0.010937
[922/5000][5/535][94978] Loss_D: -0.020623 Loss_G: 0.019794 Loss_D_real: -0.028244 Loss_D_fake -0.007621
[922/5000][10/535][94979] Loss_D: -0.020504 Loss_G: -0.020655 Loss_D_real: -0.002772 Loss_D_fake 0.017733
[922/5000][15/535][94980] Loss_D: -0.022952 Loss_G: -0.001123 Loss_D_real: -0.010997 Loss_D_fake 0.011956
[922/5000][20/535][94981] Loss_D: -0.022135 Loss_G: 0.000921 Loss_D_real: -0.018882 Loss_D_fake 0.003253
[922/5000][25/535][94982] Loss_D: -0.022912 Loss_G: -0.001865 Loss_D_real: -0.013981 Loss_D_fake 0.008931
[922/5000][30/535][94983] Loss_D: -0.021171 Loss_G: 0.020175 Loss_D_real: -0.028507 Loss_D_fake -0.007336
[922/5000][35/535][94984] Loss_D: -0.021797 Loss_G: -0.002394 Loss_D_real: -0.015642 Loss_D_fake 0.006155
[922/5000][40/535][94985] Loss_D: -0.022053 Loss_G: 0.007012 Loss_D_real: -0.030387 Loss_D_fake -0.008334
[922/5000][45/535][94986] Loss_D: -0.022881 Loss_G: 0.004344 Loss_D_real: -0.006176 Loss_D_fake 0.016705
[922/5000][50/535][94987] Loss_D: -0.022596 Loss_G: 0.002436 Loss_D_real: -0.012916 Loss_D_fake 0.009680
[922/5000][55/535][94988] Loss_D: -0.022281 Loss_G: 0.003133 Loss_D_real: -0.018677 Loss_D_fake 0.003605
[922/5000][60/535][94989] Loss_D: -0.021951 Loss_G: 0.010636 Loss_D_real: -0.021467 Loss_D_fake 0.000484
[922/5000][65/535][94990] Loss_D: -0.021375 Loss_G: 0.004995 Loss_D_real: -0.014955 Loss_D_fake 0.006420
[922/5000][70/535][94991] Loss_D: -0.022877 Loss_G: 0.005558 Loss_D_real: -0.018248 Loss_D_fake 0.004629
[922/5000][75/535][94992] Loss_D: -0.021794 Loss_G: 0.027007 Loss_D_real: -0.029279 Loss_D_fake -0.007485
[922/5000][80/535][94993] Loss_D: -0.021899 Loss_G: 0.009355 Loss_D_real: -0.021486 Loss_D_fake 0.000413
[922/5000][85/535][94994] Loss_D: -0.022223 Loss_G: -0.005221 Loss_D_real: -0.012660 Loss_D_fake 0.009563
[922/5000][90/535][94995] Loss_D: -0.021224 Loss_G: 0.020446 Loss_D_real: -0.033937 Loss_D_fake -0.012713
[922/5000][95/535][94996] Loss_D: -0.021601 Loss_G: 0.008387 Loss_D_real: -0.024532 Loss_D_fake -0.002931
[922/5000][100/535][94997] Loss_D: -0.022292 Loss_G: -0.008217 Loss_D_real: -0.007477 Loss_D_fake 0.014815
[922/5000][105/535][94998] Loss_D: -0.021520 Loss_G: 0.007742 Loss_D_real: -0.018863 Loss_D_fake 0.002657
[922/5000][110/535][94999] Loss_D: -0.022728 Loss_G: 0.015025 Loss_D_real: -0.017940 Loss_D_fake 0.004787
[922/5000][115/535][95000] Loss_D: -0.022405 Loss_G: 0.013191 Loss_D_real: -0.029167 Loss_D_fake -0.006762
[922/5000][215/535][95001] Loss_D: -0.026368 Loss_G: 0.018797 Loss_D_real: -0.028408 Loss_D_fake -0.002040
[922/5000][220/535][95002] Loss_D: -0.024610 Loss_G: 0.013609 Loss_D_real: -0.028110 Loss_D_fake -0.003500
[922/5000][225/535][95003] Loss_D: -0.021503 Loss_G: 0.001245 Loss_D_real: -0.021566 Loss_D_fake -0.000062
[922/5000][230/535][95004] Loss_D: -0.020193 Loss_G: 0.010543 Loss_D_real: -0.026459 Loss_D_fake -0.006266
[922/5000][235/535][95005] Loss_D: -0.019455 Loss_G: -0.015296 Loss_D_real: -0.000798 Loss_D_fake 0.018657
[922/5000][240/535][95006] Loss_D: -0.019471 Loss_G: 0.000675 Loss_D_real: -0.019910 Loss_D_fake -0.000439
[922/5000][245/535][95007] Loss_D: -0.021402 Loss_G: 0.001109 Loss_D_real: -0.010805 Loss_D_fake 0.010597
[922/5000][250/535][95008] Loss_D: -0.019787 Loss_G: 0.011582 Loss_D_real: -0.021108 Loss_D_fake -0.001321
[922/5000][255/535][95009] Loss_D: -0.020449 Loss_G: 0.012595 Loss_D_real: -0.022835 Loss_D_fake -0.002385
[922/5000][260/535][95010] Loss_D: -0.021412 Loss_G: 0.015658 Loss_D_real: -0.032538 Loss_D_fake -0.011126
[922/5000][265/535][95011] Loss_D: -0.021751 Loss_G: 0.024346 Loss_D_real: -0.031060 Loss_D_fake -0.009309
[922/5000][270/535][95012] Loss_D: -0.022883 Loss_G: 0.000514 Loss_D_real: -0.013224 Loss_D_fake 0.009659
[922/5000][275/535][95013] Loss_D: -0.020193 Loss_G: 0.000904 Loss_D_real: -0.019485 Loss_D_fake 0.000708
[922/5000][280/535][95014] Loss_D: -0.022110 Loss_G: 0.007013 Loss_D_real: -0.020366 Loss_D_fake 0.001744
[922/5000][285/535][95015] Loss_D: -0.021553 Loss_G: 0.019322 Loss_D_real: -0.027467 Loss_D_fake -0.005914
[922/5000][290/535][95016] Loss_D: -0.022826 Loss_G: 0.017061 Loss_D_real: -0.018764 Loss_D_fake 0.004062
[922/5000][295/535][95017] Loss_D: -0.020339 Loss_G: 0.014439 Loss_D_real: -0.022549 Loss_D_fake -0.002210
[922/5000][300/535][95018] Loss_D: -0.022002 Loss_G: 0.003495 Loss_D_real: -0.015190 Loss_D_fake 0.006811
[922/5000][305/535][95019] Loss_D: -0.021204 Loss_G: 0.003663 Loss_D_real: -0.018392 Loss_D_fake 0.002812
[922/5000][310/535][95020] Loss_D: -0.022946 Loss_G: 0.018077 Loss_D_real: -0.028014 Loss_D_fake -0.005067
[922/5000][315/535][95021] Loss_D: -0.022463 Loss_G: 0.016522 Loss_D_real: -0.028706 Loss_D_fake -0.006243
[922/5000][320/535][95022] Loss_D: -0.021683 Loss_G: -0.014268 Loss_D_real: 0.003426 Loss_D_fake 0.025109
[922/5000][325/535][95023] Loss_D: -0.019603 Loss_G: -0.005662 Loss_D_real: -0.002455 Loss_D_fake 0.017149
[922/5000][330/535][95024] Loss_D: -0.022687 Loss_G: 0.002118 Loss_D_real: -0.015864 Loss_D_fake 0.006823
[922/5000][335/535][95025] Loss_D: -0.022587 Loss_G: -0.004999 Loss_D_real: -0.003095 Loss_D_fake 0.019492
[922/5000][340/535][95026] Loss_D: -0.021046 Loss_G: -0.003228 Loss_D_real: -0.006314 Loss_D_fake 0.014732
[922/5000][345/535][95027] Loss_D: -0.021323 Loss_G: -0.014456 Loss_D_real: -0.006678 Loss_D_fake 0.014644
[922/5000][350/535][95028] Loss_D: -0.022176 Loss_G: 0.026140 Loss_D_real: -0.026167 Loss_D_fake -0.003991
[922/5000][355/535][95029] Loss_D: -0.022151 Loss_G: -0.004210 Loss_D_real: -0.009573 Loss_D_fake 0.012578
[922/5000][360/535][95030] Loss_D: -0.021874 Loss_G: 0.013296 Loss_D_real: -0.025104 Loss_D_fake -0.003230
[922/5000][365/535][95031] Loss_D: -0.022842 Loss_G: 0.005783 Loss_D_real: -0.017745 Loss_D_fake 0.005097
[922/5000][370/535][95032] Loss_D: -0.022357 Loss_G: 0.004254 Loss_D_real: -0.017354 Loss_D_fake 0.005003
[922/5000][375/535][95033] Loss_D: -0.021822 Loss_G: -0.008952 Loss_D_real: -0.003969 Loss_D_fake 0.017853
[922/5000][380/535][95034] Loss_D: -0.022573 Loss_G: 0.030722 Loss_D_real: -0.024349 Loss_D_fake -0.001776
[922/5000][385/535][95035] Loss_D: -0.022978 Loss_G: 0.005805 Loss_D_real: -0.018271 Loss_D_fake 0.004706
[922/5000][390/535][95036] Loss_D: -0.021831 Loss_G: 0.007692 Loss_D_real: -0.029188 Loss_D_fake -0.007357
[922/5000][395/535][95037] Loss_D: -0.022316 Loss_G: 0.013089 Loss_D_real: -0.019442 Loss_D_fake 0.002874
[922/5000][400/535][95038] Loss_D: -0.022357 Loss_G: 0.000364 Loss_D_real: -0.009692 Loss_D_fake 0.012665
[922/5000][405/535][95039] Loss_D: -0.021966 Loss_G: 0.011200 Loss_D_real: -0.008852 Loss_D_fake 0.013114
[922/5000][410/535][95040] Loss_D: -0.022481 Loss_G: 0.000232 Loss_D_real: -0.008548 Loss_D_fake 0.013933
[922/5000][415/535][95041] Loss_D: -0.023304 Loss_G: 0.013113 Loss_D_real: -0.017924 Loss_D_fake 0.005380
[922/5000][420/535][95042] Loss_D: -0.021752 Loss_G: -0.002289 Loss_D_real: -0.019736 Loss_D_fake 0.002016
[922/5000][425/535][95043] Loss_D: -0.023132 Loss_G: -0.001915 Loss_D_real: -0.019105 Loss_D_fake 0.004027
[922/5000][430/535][95044] Loss_D: -0.021671 Loss_G: 0.003455 Loss_D_real: -0.022632 Loss_D_fake -0.000962
[922/5000][435/535][95045] Loss_D: -0.023035 Loss_G: 0.011670 Loss_D_real: -0.010248 Loss_D_fake 0.012788
[922/5000][440/535][95046] Loss_D: -0.021171 Loss_G: 0.008542 Loss_D_real: -0.028727 Loss_D_fake -0.007555
[922/5000][445/535][95047] Loss_D: -0.022996 Loss_G: 0.006764 Loss_D_real: -0.015394 Loss_D_fake 0.007602
[922/5000][450/535][95048] Loss_D: -0.022816 Loss_G: 0.009675 Loss_D_real: -0.020034 Loss_D_fake 0.002781
[922/5000][455/535][95049] Loss_D: -0.023565 Loss_G: 0.015122 Loss_D_real: -0.020139 Loss_D_fake 0.003426
[922/5000][460/535][95050] Loss_D: -0.022451 Loss_G: 0.015677 Loss_D_real: -0.019594 Loss_D_fake 0.002857
[922/5000][465/535][95051] Loss_D: -0.022332 Loss_G: -0.011704 Loss_D_real: -0.005273 Loss_D_fake 0.017060
[922/5000][470/535][95052] Loss_D: -0.022591 Loss_G: 0.015521 Loss_D_real: -0.027891 Loss_D_fake -0.005300
[922/5000][475/535][95053] Loss_D: -0.021637 Loss_G: 0.020700 Loss_D_real: -0.028741 Loss_D_fake -0.007104
[922/5000][480/535][95054] Loss_D: -0.023589 Loss_G: 0.028526 Loss_D_real: -0.025019 Loss_D_fake -0.001430
[922/5000][485/535][95055] Loss_D: -0.022193 Loss_G: -0.003734 Loss_D_real: -0.020494 Loss_D_fake 0.001699
[922/5000][490/535][95056] Loss_D: -0.021456 Loss_G: 0.017804 Loss_D_real: -0.026313 Loss_D_fake -0.004858
[922/5000][495/535][95057] Loss_D: -0.022666 Loss_G: -0.000312 Loss_D_real: -0.010692 Loss_D_fake 0.011974
[922/5000][500/535][95058] Loss_D: -0.022789 Loss_G: 0.003166 Loss_D_real: -0.022736 Loss_D_fake 0.000053
[922/5000][505/535][95059] Loss_D: -0.023006 Loss_G: 0.001285 Loss_D_real: -0.010432 Loss_D_fake 0.012574
[922/5000][510/535][95060] Loss_D: -0.022591 Loss_G: 0.015723 Loss_D_real: -0.024345 Loss_D_fake -0.001754
[922/5000][515/535][95061] Loss_D: -0.022293 Loss_G: 0.017686 Loss_D_real: -0.016713 Loss_D_fake 0.005579
[922/5000][520/535][95062] Loss_D: -0.022521 Loss_G: -0.005763 Loss_D_real: -0.013368 Loss_D_fake 0.009152
[922/5000][525/535][95063] Loss_D: -0.020515 Loss_G: 0.022442 Loss_D_real: -0.027354 Loss_D_fake -0.006838
[922/5000][530/535][95064] Loss_D: -0.021819 Loss_G: 0.007238 Loss_D_real: -0.012236 Loss_D_fake 0.009584
[922/5000][535/535][95065] Loss_D: -0.020801 Loss_G: 0.015447 Loss_D_real: -0.035694 Loss_D_fake -0.014893
[923/5000][5/535][95066] Loss_D: -0.022408 Loss_G: 0.009211 Loss_D_real: -0.020906 Loss_D_fake 0.001501
[923/5000][10/535][95067] Loss_D: -0.023062 Loss_G: 0.025620 Loss_D_real: -0.020679 Loss_D_fake 0.002384
[923/5000][15/535][95068] Loss_D: -0.023724 Loss_G: 0.009191 Loss_D_real: -0.018921 Loss_D_fake 0.004803
[923/5000][20/535][95069] Loss_D: -0.021451 Loss_G: -0.020065 Loss_D_real: 0.002468 Loss_D_fake 0.023919
[923/5000][25/535][95070] Loss_D: -0.022149 Loss_G: 0.006574 Loss_D_real: -0.012506 Loss_D_fake 0.009643
[923/5000][30/535][95071] Loss_D: -0.022547 Loss_G: 0.010007 Loss_D_real: -0.015441 Loss_D_fake 0.007107
[923/5000][35/535][95072] Loss_D: -0.023351 Loss_G: 0.013593 Loss_D_real: -0.015083 Loss_D_fake 0.008268
[923/5000][40/535][95073] Loss_D: -0.022714 Loss_G: 0.006489 Loss_D_real: -0.026488 Loss_D_fake -0.003774
[923/5000][45/535][95074] Loss_D: -0.022413 Loss_G: -0.001112 Loss_D_real: -0.014330 Loss_D_fake 0.008083
[923/5000][50/535][95075] Loss_D: -0.021612 Loss_G: -0.002200 Loss_D_real: -0.017659 Loss_D_fake 0.003953
[923/5000][55/535][95076] Loss_D: -0.022081 Loss_G: 0.007088 Loss_D_real: -0.025344 Loss_D_fake -0.003263
[923/5000][60/535][95077] Loss_D: -0.022330 Loss_G: 0.017595 Loss_D_real: -0.028153 Loss_D_fake -0.005823
[923/5000][65/535][95078] Loss_D: -0.019999 Loss_G: -0.017808 Loss_D_real: -0.005993 Loss_D_fake 0.014006
[923/5000][70/535][95079] Loss_D: -0.021623 Loss_G: -0.005385 Loss_D_real: -0.008376 Loss_D_fake 0.013247
[923/5000][75/535][95080] Loss_D: -0.022123 Loss_G: 0.012749 Loss_D_real: -0.017897 Loss_D_fake 0.004227
[923/5000][80/535][95081] Loss_D: -0.021685 Loss_G: 0.031333 Loss_D_real: -0.029314 Loss_D_fake -0.007629
[923/5000][85/535][95082] Loss_D: -0.021118 Loss_G: -0.011425 Loss_D_real: 0.001742 Loss_D_fake 0.022859
[923/5000][90/535][95083] Loss_D: -0.021389 Loss_G: 0.005297 Loss_D_real: -0.015140 Loss_D_fake 0.006249
[923/5000][95/535][95084] Loss_D: -0.022772 Loss_G: -0.001359 Loss_D_real: -0.011895 Loss_D_fake 0.010877
[923/5000][100/535][95085] Loss_D: -0.023158 Loss_G: -0.006653 Loss_D_real: -0.003514 Loss_D_fake 0.019644
[923/5000][105/535][95086] Loss_D: -0.020530 Loss_G: 0.013452 Loss_D_real: -0.027717 Loss_D_fake -0.007188
[923/5000][110/535][95087] Loss_D: -0.021560 Loss_G: 0.015962 Loss_D_real: -0.017799 Loss_D_fake 0.003760
[923/5000][115/535][95088] Loss_D: -0.021332 Loss_G: 0.022843 Loss_D_real: -0.025588 Loss_D_fake -0.004256
[923/5000][120/535][95089] Loss_D: -0.021554 Loss_G: 0.005449 Loss_D_real: -0.029645 Loss_D_fake -0.008090
[923/5000][125/535][95090] Loss_D: -0.023174 Loss_G: 0.000895 Loss_D_real: -0.015800 Loss_D_fake 0.007374
[923/5000][130/535][95091] Loss_D: -0.022134 Loss_G: -0.012807 Loss_D_real: 0.000447 Loss_D_fake 0.022581
[923/5000][135/535][95092] Loss_D: -0.020755 Loss_G: 0.021375 Loss_D_real: -0.024494 Loss_D_fake -0.003739
[923/5000][140/535][95093] Loss_D: -0.020752 Loss_G: 0.006332 Loss_D_real: -0.010328 Loss_D_fake 0.010424
[923/5000][145/535][95094] Loss_D: -0.022810 Loss_G: 0.007056 Loss_D_real: -0.016642 Loss_D_fake 0.006168
[923/5000][150/535][95095] Loss_D: -0.022351 Loss_G: -0.001316 Loss_D_real: -0.013979 Loss_D_fake 0.008372
[923/5000][155/535][95096] Loss_D: -0.023183 Loss_G: 0.013453 Loss_D_real: -0.009222 Loss_D_fake 0.013962
[923/5000][160/535][95097] Loss_D: -0.023976 Loss_G: 0.007812 Loss_D_real: -0.023593 Loss_D_fake 0.000383
[923/5000][165/535][95098] Loss_D: -0.020484 Loss_G: -0.011172 Loss_D_real: -0.001374 Loss_D_fake 0.019111
[923/5000][170/535][95099] Loss_D: -0.022150 Loss_G: -0.010646 Loss_D_real: 0.004660 Loss_D_fake 0.026810
[923/5000][175/535][95100] Loss_D: -0.021601 Loss_G: 0.012349 Loss_D_real: -0.020046 Loss_D_fake 0.001554
[923/5000][180/535][95101] Loss_D: -0.021728 Loss_G: -0.005222 Loss_D_real: -0.004990 Loss_D_fake 0.016738
[923/5000][185/535][95102] Loss_D: -0.021765 Loss_G: 0.019308 Loss_D_real: -0.019459 Loss_D_fake 0.002306
[923/5000][190/535][95103] Loss_D: -0.021382 Loss_G: -0.005119 Loss_D_real: -0.014424 Loss_D_fake 0.006958
[923/5000][195/535][95104] Loss_D: -0.020367 Loss_G: 0.026375 Loss_D_real: -0.025241 Loss_D_fake -0.004874
[923/5000][200/535][95105] Loss_D: -0.020158 Loss_G: 0.013836 Loss_D_real: -0.031524 Loss_D_fake -0.011365
[923/5000][205/535][95106] Loss_D: -0.022107 Loss_G: 0.005437 Loss_D_real: -0.016556 Loss_D_fake 0.005550
[923/5000][210/535][95107] Loss_D: -0.022003 Loss_G: 0.005193 Loss_D_real: -0.013747 Loss_D_fake 0.008256
[923/5000][215/535][95108] Loss_D: -0.023493 Loss_G: -0.000650 Loss_D_real: -0.011638 Loss_D_fake 0.011855
[923/5000][220/535][95109] Loss_D: -0.022056 Loss_G: 0.027823 Loss_D_real: -0.032920 Loss_D_fake -0.010864
[923/5000][225/535][95110] Loss_D: -0.022635 Loss_G: -0.004754 Loss_D_real: -0.010867 Loss_D_fake 0.011768
[923/5000][230/535][95111] Loss_D: -0.023372 Loss_G: 0.007050 Loss_D_real: -0.020973 Loss_D_fake 0.002399
[923/5000][235/535][95112] Loss_D: -0.022867 Loss_G: 0.005224 Loss_D_real: -0.012866 Loss_D_fake 0.010000
[923/5000][240/535][95113] Loss_D: -0.022348 Loss_G: 0.005918 Loss_D_real: -0.020571 Loss_D_fake 0.001777
[923/5000][245/535][95114] Loss_D: -0.022853 Loss_G: 0.000869 Loss_D_real: -0.008414 Loss_D_fake 0.014439
[923/5000][250/535][95115] Loss_D: -0.022978 Loss_G: 0.008836 Loss_D_real: -0.025402 Loss_D_fake -0.002423
[923/5000][255/535][95116] Loss_D: -0.022521 Loss_G: 0.019433 Loss_D_real: -0.021577 Loss_D_fake 0.000944
[923/5000][260/535][95117] Loss_D: -0.021281 Loss_G: 0.016115 Loss_D_real: -0.013191 Loss_D_fake 0.008090
[923/5000][265/535][95118] Loss_D: -0.023220 Loss_G: 0.000012 Loss_D_real: -0.021233 Loss_D_fake 0.001987
[923/5000][270/535][95119] Loss_D: -0.021800 Loss_G: 0.001755 Loss_D_real: -0.004979 Loss_D_fake 0.016821
[923/5000][275/535][95120] Loss_D: -0.022853 Loss_G: 0.012086 Loss_D_real: -0.014041 Loss_D_fake 0.008812
[923/5000][280/535][95121] Loss_D: -0.023539 Loss_G: 0.011217 Loss_D_real: -0.029382 Loss_D_fake -0.005843
[923/5000][285/535][95122] Loss_D: -0.021789 Loss_G: 0.009385 Loss_D_real: -0.029708 Loss_D_fake -0.007920
[923/5000][290/535][95123] Loss_D: -0.022247 Loss_G: -0.000849 Loss_D_real: -0.012563 Loss_D_fake 0.009684
[923/5000][295/535][95124] Loss_D: -0.022299 Loss_G: 0.019672 Loss_D_real: -0.023371 Loss_D_fake -0.001072
[923/5000][300/535][95125] Loss_D: -0.022784 Loss_G: -0.000464 Loss_D_real: -0.008430 Loss_D_fake 0.014354
[923/5000][305/535][95126] Loss_D: -0.022710 Loss_G: 0.021741 Loss_D_real: -0.027914 Loss_D_fake -0.005204
[923/5000][310/535][95127] Loss_D: -0.021634 Loss_G: -0.005601 Loss_D_real: -0.007818 Loss_D_fake 0.013815
[923/5000][315/535][95128] Loss_D: -0.021044 Loss_G: 0.012310 Loss_D_real: -0.029711 Loss_D_fake -0.008668
[923/5000][320/535][95129] Loss_D: -0.021261 Loss_G: 0.011393 Loss_D_real: -0.017038 Loss_D_fake 0.004222
[923/5000][325/535][95130] Loss_D: -0.021593 Loss_G: 0.006652 Loss_D_real: -0.042812 Loss_D_fake -0.021219
[923/5000][330/535][95131] Loss_D: -0.022415 Loss_G: 0.004630 Loss_D_real: -0.019486 Loss_D_fake 0.002929
[923/5000][335/535][95132] Loss_D: -0.022144 Loss_G: 0.008661 Loss_D_real: -0.021352 Loss_D_fake 0.000793
[923/5000][340/535][95133] Loss_D: -0.021315 Loss_G: 0.023529 Loss_D_real: -0.030857 Loss_D_fake -0.009542
[923/5000][345/535][95134] Loss_D: -0.020676 Loss_G: 0.010719 Loss_D_real: -0.003277 Loss_D_fake 0.017400
[923/5000][350/535][95135] Loss_D: -0.021952 Loss_G: 0.023370 Loss_D_real: -0.024465 Loss_D_fake -0.002513
[923/5000][355/535][95136] Loss_D: -0.021814 Loss_G: 0.008516 Loss_D_real: -0.026486 Loss_D_fake -0.004672
[923/5000][360/535][95137] Loss_D: -0.022784 Loss_G: 0.016252 Loss_D_real: -0.023727 Loss_D_fake -0.000943
[923/5000][365/535][95138] Loss_D: -0.023394 Loss_G: 0.008517 Loss_D_real: -0.022220 Loss_D_fake 0.001174
[923/5000][370/535][95139] Loss_D: -0.022351 Loss_G: 0.011348 Loss_D_real: -0.025007 Loss_D_fake -0.002656
[923/5000][375/535][95140] Loss_D: -0.023497 Loss_G: 0.003581 Loss_D_real: -0.022803 Loss_D_fake 0.000693
[923/5000][380/535][95141] Loss_D: -0.020837 Loss_G: 0.028750 Loss_D_real: -0.026787 Loss_D_fake -0.005950
[923/5000][385/535][95142] Loss_D: -0.023151 Loss_G: -0.003673 Loss_D_real: -0.003944 Loss_D_fake 0.019207
[923/5000][390/535][95143] Loss_D: -0.021775 Loss_G: 0.011848 Loss_D_real: -0.019252 Loss_D_fake 0.002523
[923/5000][395/535][95144] Loss_D: -0.022433 Loss_G: 0.001747 Loss_D_real: -0.010372 Loss_D_fake 0.012061
[923/5000][400/535][95145] Loss_D: -0.021756 Loss_G: 0.007172 Loss_D_real: -0.028817 Loss_D_fake -0.007061
[923/5000][405/535][95146] Loss_D: -0.023041 Loss_G: 0.000860 Loss_D_real: -0.013598 Loss_D_fake 0.009443
[923/5000][410/535][95147] Loss_D: -0.022938 Loss_G: 0.007647 Loss_D_real: -0.012333 Loss_D_fake 0.010605
[923/5000][415/535][95148] Loss_D: -0.021734 Loss_G: 0.011488 Loss_D_real: -0.023333 Loss_D_fake -0.001599
[923/5000][420/535][95149] Loss_D: -0.021984 Loss_G: 0.000410 Loss_D_real: -0.021084 Loss_D_fake 0.000900
[923/5000][425/535][95150] Loss_D: -0.021270 Loss_G: 0.009203 Loss_D_real: -0.026014 Loss_D_fake -0.004744
[923/5000][430/535][95151] Loss_D: -0.023366 Loss_G: -0.000518 Loss_D_real: -0.017004 Loss_D_fake 0.006361
[923/5000][435/535][95152] Loss_D: -0.021126 Loss_G: -0.000216 Loss_D_real: -0.016532 Loss_D_fake 0.004594
[923/5000][440/535][95153] Loss_D: -0.021922 Loss_G: 0.001834 Loss_D_real: -0.016491 Loss_D_fake 0.005431
[923/5000][445/535][95154] Loss_D: -0.021328 Loss_G: 0.011391 Loss_D_real: -0.006891 Loss_D_fake 0.014436
[923/5000][450/535][95155] Loss_D: -0.022523 Loss_G: 0.015790 Loss_D_real: -0.029723 Loss_D_fake -0.007200
[923/5000][455/535][95156] Loss_D: -0.021564 Loss_G: 0.003079 Loss_D_real: -0.014869 Loss_D_fake 0.006695
[923/5000][460/535][95157] Loss_D: -0.022575 Loss_G: 0.022426 Loss_D_real: -0.022430 Loss_D_fake 0.000145
[923/5000][465/535][95158] Loss_D: -0.020702 Loss_G: 0.026696 Loss_D_real: -0.029748 Loss_D_fake -0.009046
[923/5000][470/535][95159] Loss_D: -0.022445 Loss_G: -0.004487 Loss_D_real: -0.010714 Loss_D_fake 0.011730
[923/5000][475/535][95160] Loss_D: -0.021917 Loss_G: 0.031253 Loss_D_real: -0.023910 Loss_D_fake -0.001993
[923/5000][480/535][95161] Loss_D: -0.021970 Loss_G: 0.030766 Loss_D_real: -0.034318 Loss_D_fake -0.012349
[923/5000][485/535][95162] Loss_D: -0.021590 Loss_G: -0.012694 Loss_D_real: -0.007048 Loss_D_fake 0.014542
[923/5000][490/535][95163] Loss_D: -0.021711 Loss_G: 0.006054 Loss_D_real: -0.014752 Loss_D_fake 0.006959
[923/5000][495/535][95164] Loss_D: -0.020954 Loss_G: 0.028704 Loss_D_real: -0.036758 Loss_D_fake -0.015804
[923/5000][500/535][95165] Loss_D: -0.023121 Loss_G: -0.012774 Loss_D_real: -0.013555 Loss_D_fake 0.009567
[923/5000][505/535][95166] Loss_D: -0.021484 Loss_G: -0.007822 Loss_D_real: 0.004686 Loss_D_fake 0.026170
[923/5000][510/535][95167] Loss_D: -0.023498 Loss_G: 0.003724 Loss_D_real: -0.017429 Loss_D_fake 0.006069
[923/5000][515/535][95168] Loss_D: -0.023452 Loss_G: 0.014165 Loss_D_real: -0.018356 Loss_D_fake 0.005096
[923/5000][520/535][95169] Loss_D: -0.023244 Loss_G: 0.011200 Loss_D_real: -0.023328 Loss_D_fake -0.000084
[923/5000][525/535][95170] Loss_D: -0.021823 Loss_G: 0.001724 Loss_D_real: -0.010408 Loss_D_fake 0.011415
[923/5000][530/535][95171] Loss_D: -0.021608 Loss_G: 0.002832 Loss_D_real: -0.023242 Loss_D_fake -0.001634
[923/5000][535/535][95172] Loss_D: -0.023733 Loss_G: 0.030085 Loss_D_real: -0.026310 Loss_D_fake -0.002577
[924/5000][5/535][95173] Loss_D: -0.023500 Loss_G: -0.003513 Loss_D_real: -0.013293 Loss_D_fake 0.010207
[924/5000][10/535][95174] Loss_D: -0.022233 Loss_G: 0.018746 Loss_D_real: -0.023903 Loss_D_fake -0.001669
[924/5000][15/535][95175] Loss_D: -0.021612 Loss_G: 0.011262 Loss_D_real: -0.019509 Loss_D_fake 0.002103
[924/5000][20/535][95176] Loss_D: -0.021428 Loss_G: -0.001454 Loss_D_real: -0.003769 Loss_D_fake 0.017660
[924/5000][25/535][95177] Loss_D: -0.020866 Loss_G: 0.011190 Loss_D_real: -0.029388 Loss_D_fake -0.008522
[924/5000][30/535][95178] Loss_D: -0.022511 Loss_G: 0.004577 Loss_D_real: -0.018628 Loss_D_fake 0.003883
[924/5000][35/535][95179] Loss_D: -0.022749 Loss_G: 0.015198 Loss_D_real: -0.025778 Loss_D_fake -0.003029
[924/5000][40/535][95180] Loss_D: -0.022451 Loss_G: 0.017829 Loss_D_real: -0.021581 Loss_D_fake 0.000870
[924/5000][45/535][95181] Loss_D: -0.021802 Loss_G: 0.002098 Loss_D_real: -0.013266 Loss_D_fake 0.008536
[924/5000][50/535][95182] Loss_D: -0.020998 Loss_G: 0.031934 Loss_D_real: -0.031300 Loss_D_fake -0.010303
[924/5000][55/535][95183] Loss_D: -0.022643 Loss_G: 0.005306 Loss_D_real: -0.024351 Loss_D_fake -0.001708
[924/5000][60/535][95184] Loss_D: -0.022705 Loss_G: 0.002601 Loss_D_real: -0.026745 Loss_D_fake -0.004041
[924/5000][65/535][95185] Loss_D: -0.022417 Loss_G: 0.005402 Loss_D_real: -0.012845 Loss_D_fake 0.009572
[924/5000][70/535][95186] Loss_D: -0.021224 Loss_G: 0.011620 Loss_D_real: -0.019541 Loss_D_fake 0.001683
[924/5000][75/535][95187] Loss_D: -0.020905 Loss_G: 0.000333 Loss_D_real: -0.017086 Loss_D_fake 0.003820
[924/5000][80/535][95188] Loss_D: -0.022686 Loss_G: 0.014049 Loss_D_real: -0.030070 Loss_D_fake -0.007384
[924/5000][85/535][95189] Loss_D: -0.020871 Loss_G: -0.011311 Loss_D_real: 0.002527 Loss_D_fake 0.023397
[924/5000][90/535][95190] Loss_D: -0.021256 Loss_G: 0.006904 Loss_D_real: -0.010663 Loss_D_fake 0.010594
[924/5000][95/535][95191] Loss_D: -0.023063 Loss_G: 0.006353 Loss_D_real: -0.016107 Loss_D_fake 0.006956
[924/5000][100/535][95192] Loss_D: -0.022608 Loss_G: 0.024814 Loss_D_real: -0.027154 Loss_D_fake -0.004547
[924/5000][105/535][95193] Loss_D: -0.022797 Loss_G: 0.011701 Loss_D_real: -0.019665 Loss_D_fake 0.003132
[924/5000][110/535][95194] Loss_D: -0.022759 Loss_G: 0.011068 Loss_D_real: -0.020786 Loss_D_fake 0.001972
[924/5000][115/535][95195] Loss_D: -0.023364 Loss_G: 0.000992 Loss_D_real: -0.006157 Loss_D_fake 0.017206
[924/5000][120/535][95196] Loss_D: -0.021977 Loss_G: 0.002730 Loss_D_real: -0.018268 Loss_D_fake 0.003708
[924/5000][125/535][95197] Loss_D: -0.020833 Loss_G: 0.005347 Loss_D_real: -0.017724 Loss_D_fake 0.003109
[924/5000][130/535][95198] Loss_D: -0.023284 Loss_G: 0.004221 Loss_D_real: -0.007682 Loss_D_fake 0.015602
[924/5000][135/535][95199] Loss_D: -0.022999 Loss_G: -0.002933 Loss_D_real: -0.021668 Loss_D_fake 0.001331
[924/5000][140/535][95200] Loss_D: -0.021832 Loss_G: 0.019345 Loss_D_real: -0.025334 Loss_D_fake -0.003503
[924/5000][145/535][95201] Loss_D: -0.022342 Loss_G: -0.018500 Loss_D_real: 0.001658 Loss_D_fake 0.024000
[924/5000][150/535][95202] Loss_D: -0.020923 Loss_G: 0.002464 Loss_D_real: -0.017856 Loss_D_fake 0.003066
[924/5000][155/535][95203] Loss_D: -0.021943 Loss_G: -0.001539 Loss_D_real: -0.017273 Loss_D_fake 0.004671
[924/5000][160/535][95204] Loss_D: -0.021508 Loss_G: 0.013579 Loss_D_real: -0.023698 Loss_D_fake -0.002190
[924/5000][165/535][95205] Loss_D: -0.022354 Loss_G: -0.005165 Loss_D_real: -0.009667 Loss_D_fake 0.012686
[924/5000][170/535][95206] Loss_D: -0.021318 Loss_G: 0.001792 Loss_D_real: -0.012288 Loss_D_fake 0.009030
[924/5000][175/535][95207] Loss_D: -0.021222 Loss_G: -0.005099 Loss_D_real: -0.005857 Loss_D_fake 0.015365
[924/5000][180/535][95208] Loss_D: -0.021342 Loss_G: 0.014271 Loss_D_real: -0.030702 Loss_D_fake -0.009360
[924/5000][185/535][95209] Loss_D: -0.023244 Loss_G: 0.007039 Loss_D_real: -0.017368 Loss_D_fake 0.005875
[924/5000][190/535][95210] Loss_D: -0.021800 Loss_G: 0.002257 Loss_D_real: -0.011014 Loss_D_fake 0.010786
[924/5000][195/535][95211] Loss_D: -0.021992 Loss_G: 0.004321 Loss_D_real: -0.009284 Loss_D_fake 0.012708
[924/5000][200/535][95212] Loss_D: -0.022714 Loss_G: 0.017856 Loss_D_real: -0.026323 Loss_D_fake -0.003609
[924/5000][205/535][95213] Loss_D: -0.021546 Loss_G: 0.026088 Loss_D_real: -0.033182 Loss_D_fake -0.011636
[924/5000][210/535][95214] Loss_D: -0.021960 Loss_G: 0.001420 Loss_D_real: -0.014730 Loss_D_fake 0.007230
[924/5000][215/535][95215] Loss_D: -0.021413 Loss_G: 0.021659 Loss_D_real: -0.028096 Loss_D_fake -0.006683
[924/5000][220/535][95216] Loss_D: -0.022064 Loss_G: -0.008005 Loss_D_real: -0.010012 Loss_D_fake 0.012051
[924/5000][225/535][95217] Loss_D: -0.022053 Loss_G: 0.009120 Loss_D_real: -0.026625 Loss_D_fake -0.004572
[924/5000][230/535][95218] Loss_D: -0.024084 Loss_G: 0.016148 Loss_D_real: -0.016326 Loss_D_fake 0.007759
[924/5000][235/535][95219] Loss_D: -0.022366 Loss_G: 0.018004 Loss_D_real: -0.020738 Loss_D_fake 0.001627
[924/5000][240/535][95220] Loss_D: -0.021842 Loss_G: -0.001216 Loss_D_real: -0.017248 Loss_D_fake 0.004595
[924/5000][245/535][95221] Loss_D: -0.021142 Loss_G: 0.021563 Loss_D_real: -0.024045 Loss_D_fake -0.002903
[924/5000][250/535][95222] Loss_D: -0.020708 Loss_G: 0.003711 Loss_D_real: -0.019147 Loss_D_fake 0.001561
[924/5000][255/535][95223] Loss_D: -0.018458 Loss_G: 0.026139 Loss_D_real: -0.038796 Loss_D_fake -0.020338
[924/5000][260/535][95224] Loss_D: -0.020794 Loss_G: 0.016489 Loss_D_real: -0.022935 Loss_D_fake -0.002141
[924/5000][265/535][95225] Loss_D: -0.021086 Loss_G: -0.016630 Loss_D_real: -0.003516 Loss_D_fake 0.017570
[924/5000][270/535][95226] Loss_D: -0.022928 Loss_G: 0.021870 Loss_D_real: -0.020119 Loss_D_fake 0.002809
[924/5000][275/535][95227] Loss_D: -0.021031 Loss_G: -0.005842 Loss_D_real: -0.007859 Loss_D_fake 0.013171
[924/5000][280/535][95228] Loss_D: -0.022900 Loss_G: 0.011819 Loss_D_real: -0.018979 Loss_D_fake 0.003922
[924/5000][285/535][95229] Loss_D: -0.022639 Loss_G: -0.002435 Loss_D_real: -0.004413 Loss_D_fake 0.018226
[924/5000][290/535][95230] Loss_D: -0.022594 Loss_G: 0.013401 Loss_D_real: -0.022324 Loss_D_fake 0.000271
[924/5000][295/535][95231] Loss_D: -0.023620 Loss_G: 0.002835 Loss_D_real: -0.021364 Loss_D_fake 0.002256
[924/5000][300/535][95232] Loss_D: -0.022573 Loss_G: 0.004941 Loss_D_real: -0.011626 Loss_D_fake 0.010948
[924/5000][305/535][95233] Loss_D: -0.023289 Loss_G: 0.013147 Loss_D_real: -0.025622 Loss_D_fake -0.002333
[924/5000][310/535][95234] Loss_D: -0.023788 Loss_G: 0.012418 Loss_D_real: -0.014612 Loss_D_fake 0.009176
[924/5000][315/535][95235] Loss_D: -0.023149 Loss_G: 0.013583 Loss_D_real: -0.022181 Loss_D_fake 0.000968
[924/5000][320/535][95236] Loss_D: -0.024690 Loss_G: 0.009826 Loss_D_real: -0.013054 Loss_D_fake 0.011636
[924/5000][325/535][95237] Loss_D: -0.023687 Loss_G: -0.006836 Loss_D_real: -0.011206 Loss_D_fake 0.012481
[924/5000][330/535][95238] Loss_D: -0.022769 Loss_G: 0.002792 Loss_D_real: -0.015366 Loss_D_fake 0.007402
[924/5000][335/535][95239] Loss_D: -0.023964 Loss_G: -0.011478 Loss_D_real: -0.013391 Loss_D_fake 0.010573
[924/5000][340/535][95240] Loss_D: -0.023548 Loss_G: 0.008086 Loss_D_real: -0.009146 Loss_D_fake 0.014402
[924/5000][345/535][95241] Loss_D: -0.022333 Loss_G: 0.008594 Loss_D_real: -0.007592 Loss_D_fake 0.014740
[924/5000][350/535][95242] Loss_D: -0.024315 Loss_G: 0.010210 Loss_D_real: -0.017943 Loss_D_fake 0.006372
[924/5000][355/535][95243] Loss_D: -0.022920 Loss_G: -0.009704 Loss_D_real: -0.002820 Loss_D_fake 0.020100
[924/5000][360/535][95244] Loss_D: -0.022388 Loss_G: 0.020250 Loss_D_real: -0.022825 Loss_D_fake -0.000437
[924/5000][365/535][95245] Loss_D: -0.021384 Loss_G: 0.005721 Loss_D_real: -0.009571 Loss_D_fake 0.011813
[924/5000][370/535][95246] Loss_D: -0.021451 Loss_G: 0.023674 Loss_D_real: -0.026259 Loss_D_fake -0.004808
[924/5000][375/535][95247] Loss_D: -0.022676 Loss_G: -0.006602 Loss_D_real: -0.021314 Loss_D_fake 0.001361
[924/5000][380/535][95248] Loss_D: -0.022623 Loss_G: 0.009013 Loss_D_real: -0.024560 Loss_D_fake -0.001938
[924/5000][385/535][95249] Loss_D: -0.022911 Loss_G: 0.019895 Loss_D_real: -0.037436 Loss_D_fake -0.014525
[924/5000][390/535][95250] Loss_D: -0.021596 Loss_G: 0.013897 Loss_D_real: -0.044086 Loss_D_fake -0.022489
[924/5000][395/535][95251] Loss_D: -0.022597 Loss_G: 0.012299 Loss_D_real: -0.013392 Loss_D_fake 0.009205
[924/5000][400/535][95252] Loss_D: -0.021649 Loss_G: 0.026687 Loss_D_real: -0.022324 Loss_D_fake -0.000675
[924/5000][405/535][95253] Loss_D: -0.020909 Loss_G: 0.009993 Loss_D_real: -0.028354 Loss_D_fake -0.007444
[924/5000][410/535][95254] Loss_D: -0.021114 Loss_G: 0.005669 Loss_D_real: -0.012293 Loss_D_fake 0.008821
[924/5000][415/535][95255] Loss_D: -0.020711 Loss_G: 0.013409 Loss_D_real: -0.025697 Loss_D_fake -0.004986
[924/5000][420/535][95256] Loss_D: -0.023007 Loss_G: 0.006839 Loss_D_real: -0.011406 Loss_D_fake 0.011602
[924/5000][425/535][95257] Loss_D: -0.022724 Loss_G: 0.016223 Loss_D_real: -0.015246 Loss_D_fake 0.007478
[924/5000][430/535][95258] Loss_D: -0.022421 Loss_G: 0.007188 Loss_D_real: -0.018897 Loss_D_fake 0.003524
[924/5000][435/535][95259] Loss_D: -0.021054 Loss_G: -0.018967 Loss_D_real: 0.000035 Loss_D_fake 0.021090
[924/5000][440/535][95260] Loss_D: -0.022195 Loss_G: -0.003024 Loss_D_real: -0.014347 Loss_D_fake 0.007847
[924/5000][445/535][95261] Loss_D: -0.021296 Loss_G: 0.006974 Loss_D_real: -0.011915 Loss_D_fake 0.009381
[924/5000][450/535][95262] Loss_D: -0.021140 Loss_G: 0.019206 Loss_D_real: -0.029103 Loss_D_fake -0.007962
[924/5000][455/535][95263] Loss_D: -0.022346 Loss_G: 0.013055 Loss_D_real: -0.022713 Loss_D_fake -0.000366
[924/5000][460/535][95264] Loss_D: -0.022160 Loss_G: 0.004447 Loss_D_real: -0.019834 Loss_D_fake 0.002326
[924/5000][465/535][95265] Loss_D: -0.023080 Loss_G: -0.003069 Loss_D_real: -0.013547 Loss_D_fake 0.009533
[924/5000][470/535][95266] Loss_D: -0.020625 Loss_G: 0.017835 Loss_D_real: -0.018087 Loss_D_fake 0.002538
[924/5000][475/535][95267] Loss_D: -0.021233 Loss_G: 0.013667 Loss_D_real: -0.018981 Loss_D_fake 0.002252
[924/5000][480/535][95268] Loss_D: -0.022092 Loss_G: -0.009478 Loss_D_real: -0.004684 Loss_D_fake 0.017408
[924/5000][485/535][95269] Loss_D: -0.022509 Loss_G: 0.009037 Loss_D_real: -0.026724 Loss_D_fake -0.004215
[924/5000][490/535][95270] Loss_D: -0.022410 Loss_G: 0.010871 Loss_D_real: -0.019867 Loss_D_fake 0.002543
[924/5000][495/535][95271] Loss_D: -0.021711 Loss_G: -0.013191 Loss_D_real: -0.012163 Loss_D_fake 0.009548
[924/5000][500/535][95272] Loss_D: -0.022330 Loss_G: 0.011334 Loss_D_real: -0.019106 Loss_D_fake 0.003224
[924/5000][505/535][95273] Loss_D: -0.022083 Loss_G: 0.014578 Loss_D_real: -0.033552 Loss_D_fake -0.011468
[924/5000][510/535][95274] Loss_D: -0.023463 Loss_G: 0.030108 Loss_D_real: -0.025254 Loss_D_fake -0.001791
[924/5000][515/535][95275] Loss_D: -0.021535 Loss_G: 0.001118 Loss_D_real: -0.018907 Loss_D_fake 0.002628
[924/5000][520/535][95276] Loss_D: -0.023283 Loss_G: 0.019413 Loss_D_real: -0.016384 Loss_D_fake 0.006899
[924/5000][525/535][95277] Loss_D: -0.022228 Loss_G: -0.010259 Loss_D_real: -0.014779 Loss_D_fake 0.007449
[924/5000][530/535][95278] Loss_D: -0.022628 Loss_G: 0.011179 Loss_D_real: -0.026000 Loss_D_fake -0.003373
[924/5000][535/535][95279] Loss_D: -0.025378 Loss_G: 0.023339 Loss_D_real: -0.038774 Loss_D_fake -0.013396
[925/5000][5/535][95280] Loss_D: -0.021823 Loss_G: 0.009778 Loss_D_real: -0.027409 Loss_D_fake -0.005586
[925/5000][10/535][95281] Loss_D: -0.022115 Loss_G: -0.002780 Loss_D_real: -0.006540 Loss_D_fake 0.015575
[925/5000][15/535][95282] Loss_D: -0.022497 Loss_G: -0.007799 Loss_D_real: -0.012006 Loss_D_fake 0.010491
[925/5000][20/535][95283] Loss_D: -0.022634 Loss_G: 0.020861 Loss_D_real: -0.017346 Loss_D_fake 0.005288
[925/5000][25/535][95284] Loss_D: -0.022903 Loss_G: 0.004661 Loss_D_real: -0.025383 Loss_D_fake -0.002480
[925/5000][30/535][95285] Loss_D: -0.023564 Loss_G: 0.009195 Loss_D_real: -0.018875 Loss_D_fake 0.004689
[925/5000][35/535][95286] Loss_D: -0.022801 Loss_G: 0.014149 Loss_D_real: -0.027905 Loss_D_fake -0.005104
[925/5000][40/535][95287] Loss_D: -0.022340 Loss_G: 0.015084 Loss_D_real: -0.017227 Loss_D_fake 0.005113
[925/5000][45/535][95288] Loss_D: -0.022024 Loss_G: -0.000700 Loss_D_real: -0.019493 Loss_D_fake 0.002531
[925/5000][50/535][95289] Loss_D: -0.022016 Loss_G: 0.027304 Loss_D_real: -0.034742 Loss_D_fake -0.012726
[925/5000][55/535][95290] Loss_D: -0.021488 Loss_G: -0.000582 Loss_D_real: -0.019171 Loss_D_fake 0.002316
[925/5000][60/535][95291] Loss_D: -0.023643 Loss_G: 0.025989 Loss_D_real: -0.028971 Loss_D_fake -0.005328
[925/5000][65/535][95292] Loss_D: -0.022108 Loss_G: 0.008944 Loss_D_real: -0.023898 Loss_D_fake -0.001790
[925/5000][70/535][95293] Loss_D: -0.021302 Loss_G: -0.014819 Loss_D_real: -0.002358 Loss_D_fake 0.018945
[925/5000][75/535][95294] Loss_D: -0.022599 Loss_G: 0.012235 Loss_D_real: -0.006313 Loss_D_fake 0.016286
[925/5000][80/535][95295] Loss_D: -0.022064 Loss_G: -0.012291 Loss_D_real: -0.003925 Loss_D_fake 0.018138
[925/5000][85/535][95296] Loss_D: -0.020633 Loss_G: 0.019490 Loss_D_real: -0.017880 Loss_D_fake 0.002754
[925/5000][90/535][95297] Loss_D: -0.020581 Loss_G: 0.020029 Loss_D_real: -0.036230 Loss_D_fake -0.015649
[925/5000][95/535][95298] Loss_D: -0.020207 Loss_G: 0.017698 Loss_D_real: -0.023157 Loss_D_fake -0.002950
[925/5000][100/535][95299] Loss_D: -0.021033 Loss_G: 0.006906 Loss_D_real: -0.021338 Loss_D_fake -0.000305
[925/5000][105/535][95300] Loss_D: -0.022985 Loss_G: -0.008045 Loss_D_real: -0.004768 Loss_D_fake 0.018217
[925/5000][110/535][95301] Loss_D: -0.020442 Loss_G: -0.000520 Loss_D_real: -0.017252 Loss_D_fake 0.003189
[925/5000][115/535][95302] Loss_D: -0.021240 Loss_G: 0.013943 Loss_D_real: -0.024264 Loss_D_fake -0.003024
[925/5000][120/535][95303] Loss_D: -0.021959 Loss_G: 0.022667 Loss_D_real: -0.033968 Loss_D_fake -0.012009
[925/5000][125/535][95304] Loss_D: -0.022909 Loss_G: 0.014485 Loss_D_real: -0.012710 Loss_D_fake 0.010199
[925/5000][130/535][95305] Loss_D: -0.023817 Loss_G: 0.022295 Loss_D_real: -0.036717 Loss_D_fake -0.012901
[925/5000][135/535][95306] Loss_D: -0.022231 Loss_G: 0.019074 Loss_D_real: -0.035993 Loss_D_fake -0.013763
[925/5000][140/535][95307] Loss_D: -0.023228 Loss_G: 0.006368 Loss_D_real: -0.015326 Loss_D_fake 0.007903
[925/5000][145/535][95308] Loss_D: -0.023251 Loss_G: 0.014645 Loss_D_real: -0.020912 Loss_D_fake 0.002339
[925/5000][150/535][95309] Loss_D: -0.022679 Loss_G: 0.004327 Loss_D_real: -0.020951 Loss_D_fake 0.001728
[925/5000][155/535][95310] Loss_D: -0.022154 Loss_G: 0.001621 Loss_D_real: 0.004690 Loss_D_fake 0.026844
[925/5000][160/535][95311] Loss_D: -0.021892 Loss_G: 0.011837 Loss_D_real: -0.013704 Loss_D_fake 0.008188
[925/5000][165/535][95312] Loss_D: -0.020520 Loss_G: 0.008962 Loss_D_real: -0.025151 Loss_D_fake -0.004631
[925/5000][170/535][95313] Loss_D: -0.020601 Loss_G: 0.001782 Loss_D_real: -0.003697 Loss_D_fake 0.016904
[925/5000][175/535][95314] Loss_D: -0.022979 Loss_G: 0.008117 Loss_D_real: -0.017606 Loss_D_fake 0.005373
[925/5000][180/535][95315] Loss_D: -0.021849 Loss_G: -0.004853 Loss_D_real: -0.016305 Loss_D_fake 0.005545
[925/5000][185/535][95316] Loss_D: -0.022242 Loss_G: 0.000490 Loss_D_real: -0.008781 Loss_D_fake 0.013461
[925/5000][190/535][95317] Loss_D: -0.020264 Loss_G: 0.034071 Loss_D_real: -0.037390 Loss_D_fake -0.017126
[925/5000][195/535][95318] Loss_D: -0.021926 Loss_G: 0.008837 Loss_D_real: -0.022504 Loss_D_fake -0.000578
[925/5000][200/535][95319] Loss_D: -0.022551 Loss_G: 0.004013 Loss_D_real: -0.010340 Loss_D_fake 0.012211
[925/5000][205/535][95320] Loss_D: -0.023088 Loss_G: -0.000138 Loss_D_real: -0.015809 Loss_D_fake 0.007279
[925/5000][210/535][95321] Loss_D: -0.022372 Loss_G: -0.000848 Loss_D_real: -0.017449 Loss_D_fake 0.004923
[925/5000][215/535][95322] Loss_D: -0.022835 Loss_G: 0.020285 Loss_D_real: -0.026741 Loss_D_fake -0.003906
[925/5000][220/535][95323] Loss_D: -0.022682 Loss_G: 0.001635 Loss_D_real: -0.015097 Loss_D_fake 0.007585
[925/5000][225/535][95324] Loss_D: -0.022090 Loss_G: 0.006819 Loss_D_real: -0.013184 Loss_D_fake 0.008906
[925/5000][230/535][95325] Loss_D: -0.022741 Loss_G: -0.005905 Loss_D_real: -0.013608 Loss_D_fake 0.009133
[925/5000][235/535][95326] Loss_D: -0.022007 Loss_G: 0.026624 Loss_D_real: -0.021498 Loss_D_fake 0.000509
[925/5000][240/535][95327] Loss_D: -0.021796 Loss_G: 0.005110 Loss_D_real: -0.013676 Loss_D_fake 0.008120
[925/5000][245/535][95328] Loss_D: -0.022130 Loss_G: 0.000349 Loss_D_real: -0.027199 Loss_D_fake -0.005069
[925/5000][250/535][95329] Loss_D: -0.022320 Loss_G: 0.006210 Loss_D_real: -0.020131 Loss_D_fake 0.002189
[925/5000][255/535][95330] Loss_D: -0.022456 Loss_G: 0.012148 Loss_D_real: -0.020827 Loss_D_fake 0.001629
[925/5000][260/535][95331] Loss_D: -0.022424 Loss_G: 0.001742 Loss_D_real: -0.020957 Loss_D_fake 0.001467
[925/5000][265/535][95332] Loss_D: -0.021166 Loss_G: -0.013025 Loss_D_real: -0.010671 Loss_D_fake 0.010494
[925/5000][270/535][95333] Loss_D: -0.021449 Loss_G: 0.022162 Loss_D_real: -0.025647 Loss_D_fake -0.004198
[925/5000][275/535][95334] Loss_D: -0.021688 Loss_G: 0.006131 Loss_D_real: -0.008291 Loss_D_fake 0.013397
[925/5000][280/535][95335] Loss_D: -0.021550 Loss_G: -0.006134 Loss_D_real: -0.014282 Loss_D_fake 0.007268
[925/5000][285/535][95336] Loss_D: -0.021940 Loss_G: 0.005258 Loss_D_real: -0.030684 Loss_D_fake -0.008744
[925/5000][290/535][95337] Loss_D: -0.022418 Loss_G: 0.029774 Loss_D_real: -0.032268 Loss_D_fake -0.009850
[925/5000][295/535][95338] Loss_D: -0.022937 Loss_G: 0.011313 Loss_D_real: -0.018393 Loss_D_fake 0.004544
[925/5000][300/535][95339] Loss_D: -0.021233 Loss_G: 0.017584 Loss_D_real: -0.027982 Loss_D_fake -0.006749
[925/5000][305/535][95340] Loss_D: -0.022816 Loss_G: -0.002491 Loss_D_real: -0.011506 Loss_D_fake 0.011309
[925/5000][310/535][95341] Loss_D: -0.021902 Loss_G: 0.028502 Loss_D_real: -0.030860 Loss_D_fake -0.008958
[925/5000][315/535][95342] Loss_D: -0.023523 Loss_G: 0.002427 Loss_D_real: -0.031874 Loss_D_fake -0.008351
[925/5000][320/535][95343] Loss_D: -0.023083 Loss_G: 0.023605 Loss_D_real: -0.034190 Loss_D_fake -0.011107
[925/5000][325/535][95344] Loss_D: -0.022732 Loss_G: -0.006243 Loss_D_real: -0.014989 Loss_D_fake 0.007744
[925/5000][330/535][95345] Loss_D: -0.023321 Loss_G: 0.009658 Loss_D_real: -0.022907 Loss_D_fake 0.000415
[925/5000][335/535][95346] Loss_D: -0.022267 Loss_G: 0.002864 Loss_D_real: -0.007158 Loss_D_fake 0.015108
[925/5000][340/535][95347] Loss_D: -0.021783 Loss_G: -0.014617 Loss_D_real: -0.008297 Loss_D_fake 0.013487
[925/5000][345/535][95348] Loss_D: -0.020920 Loss_G: 0.010605 Loss_D_real: -0.021758 Loss_D_fake -0.000838
[925/5000][350/535][95349] Loss_D: -0.021738 Loss_G: 0.009561 Loss_D_real: -0.014401 Loss_D_fake 0.007337
[925/5000][355/535][95350] Loss_D: -0.021952 Loss_G: 0.008355 Loss_D_real: -0.027429 Loss_D_fake -0.005477
[925/5000][360/535][95351] Loss_D: -0.021821 Loss_G: 0.001193 Loss_D_real: -0.018690 Loss_D_fake 0.003132
[925/5000][365/535][95352] Loss_D: -0.022463 Loss_G: 0.008502 Loss_D_real: -0.014031 Loss_D_fake 0.008432
[925/5000][370/535][95353] Loss_D: -0.023358 Loss_G: 0.013937 Loss_D_real: -0.017367 Loss_D_fake 0.005991
[925/5000][375/535][95354] Loss_D: -0.022654 Loss_G: -0.004181 Loss_D_real: -0.000828 Loss_D_fake 0.021826
[925/5000][380/535][95355] Loss_D: -0.022740 Loss_G: 0.002228 Loss_D_real: -0.018770 Loss_D_fake 0.003970
[925/5000][385/535][95356] Loss_D: -0.021569 Loss_G: 0.016542 Loss_D_real: -0.020924 Loss_D_fake 0.000645
[925/5000][390/535][95357] Loss_D: -0.023704 Loss_G: -0.006939 Loss_D_real: -0.010933 Loss_D_fake 0.012770
[925/5000][395/535][95358] Loss_D: -0.022846 Loss_G: -0.001805 Loss_D_real: -0.006283 Loss_D_fake 0.016564
[925/5000][400/535][95359] Loss_D: -0.022461 Loss_G: -0.005560 Loss_D_real: -0.020627 Loss_D_fake 0.001834
[925/5000][405/535][95360] Loss_D: -0.022839 Loss_G: 0.017494 Loss_D_real: -0.020275 Loss_D_fake 0.002564
[925/5000][410/535][95361] Loss_D: -0.022826 Loss_G: -0.002514 Loss_D_real: -0.017365 Loss_D_fake 0.005461
[925/5000][415/535][95362] Loss_D: -0.022739 Loss_G: 0.009624 Loss_D_real: -0.019163 Loss_D_fake 0.003577
[925/5000][420/535][95363] Loss_D: -0.021965 Loss_G: -0.000823 Loss_D_real: -0.025755 Loss_D_fake -0.003790
[925/5000][425/535][95364] Loss_D: -0.023097 Loss_G: 0.008564 Loss_D_real: -0.023342 Loss_D_fake -0.000246
[925/5000][430/535][95365] Loss_D: -0.023570 Loss_G: 0.010506 Loss_D_real: -0.018356 Loss_D_fake 0.005214
[925/5000][435/535][95366] Loss_D: -0.022974 Loss_G: 0.020396 Loss_D_real: -0.012931 Loss_D_fake 0.010043
[925/5000][440/535][95367] Loss_D: -0.022267 Loss_G: 0.024783 Loss_D_real: -0.025405 Loss_D_fake -0.003138
[925/5000][445/535][95368] Loss_D: -0.022754 Loss_G: 0.008682 Loss_D_real: -0.014960 Loss_D_fake 0.007794
[925/5000][450/535][95369] Loss_D: -0.021842 Loss_G: 0.014378 Loss_D_real: -0.015301 Loss_D_fake 0.006541
[925/5000][455/535][95370] Loss_D: -0.023243 Loss_G: 0.001893 Loss_D_real: -0.017472 Loss_D_fake 0.005772
[925/5000][460/535][95371] Loss_D: -0.021435 Loss_G: 0.017140 Loss_D_real: -0.035594 Loss_D_fake -0.014160
[925/5000][465/535][95372] Loss_D: -0.022488 Loss_G: 0.003861 Loss_D_real: -0.010911 Loss_D_fake 0.011577
[925/5000][470/535][95373] Loss_D: -0.021928 Loss_G: -0.009328 Loss_D_real: -0.001033 Loss_D_fake 0.020896
[925/5000][475/535][95374] Loss_D: -0.022774 Loss_G: -0.008864 Loss_D_real: -0.026041 Loss_D_fake -0.003267
[925/5000][480/535][95375] Loss_D: -0.022061 Loss_G: 0.015944 Loss_D_real: -0.021777 Loss_D_fake 0.000284
[925/5000][485/535][95376] Loss_D: -0.021448 Loss_G: -0.001707 Loss_D_real: -0.009753 Loss_D_fake 0.011695
[925/5000][490/535][95377] Loss_D: -0.021224 Loss_G: 0.001342 Loss_D_real: -0.016598 Loss_D_fake 0.004626
[925/5000][495/535][95378] Loss_D: -0.023009 Loss_G: -0.007807 Loss_D_real: -0.010813 Loss_D_fake 0.012196
[925/5000][500/535][95379] Loss_D: -0.023937 Loss_G: 0.021657 Loss_D_real: -0.021728 Loss_D_fake 0.002209
[925/5000][505/535][95380] Loss_D: -0.022366 Loss_G: -0.004919 Loss_D_real: -0.009655 Loss_D_fake 0.012711
[925/5000][510/535][95381] Loss_D: -0.021534 Loss_G: 0.011110 Loss_D_real: -0.026153 Loss_D_fake -0.004619
[925/5000][515/535][95382] Loss_D: -0.022064 Loss_G: -0.001814 Loss_D_real: -0.007336 Loss_D_fake 0.014728
[925/5000][520/535][95383] Loss_D: -0.021984 Loss_G: 0.020211 Loss_D_real: -0.029802 Loss_D_fake -0.007818
[925/5000][525/535][95384] Loss_D: -0.021180 Loss_G: 0.000277 Loss_D_real: -0.007882 Loss_D_fake 0.013297
[925/5000][530/535][95385] Loss_D: -0.021334 Loss_G: 0.026259 Loss_D_real: -0.028406 Loss_D_fake -0.007072
[925/5000][535/535][95386] Loss_D: -0.021171 Loss_G: -0.015957 Loss_D_real: -0.012638 Loss_D_fake 0.008533
[926/5000][5/535][95387] Loss_D: -0.023288 Loss_G: 0.016400 Loss_D_real: -0.020305 Loss_D_fake 0.002983
[926/5000][10/535][95388] Loss_D: -0.022398 Loss_G: 0.004644 Loss_D_real: -0.015199 Loss_D_fake 0.007199
[926/5000][15/535][95389] Loss_D: -0.021646 Loss_G: -0.011217 Loss_D_real: 0.002822 Loss_D_fake 0.024468
[926/5000][20/535][95390] Loss_D: -0.021539 Loss_G: -0.008046 Loss_D_real: -0.018349 Loss_D_fake 0.003190
[926/5000][25/535][95391] Loss_D: -0.022168 Loss_G: 0.011061 Loss_D_real: -0.024590 Loss_D_fake -0.002421
[926/5000][30/535][95392] Loss_D: -0.021500 Loss_G: 0.026942 Loss_D_real: -0.020375 Loss_D_fake 0.001124
[926/5000][35/535][95393] Loss_D: -0.022142 Loss_G: 0.016558 Loss_D_real: -0.027653 Loss_D_fake -0.005511
[926/5000][40/535][95394] Loss_D: -0.022772 Loss_G: 0.010884 Loss_D_real: -0.012523 Loss_D_fake 0.010249
[926/5000][45/535][95395] Loss_D: -0.023829 Loss_G: -0.004555 Loss_D_real: -0.006447 Loss_D_fake 0.017382
[926/5000][50/535][95396] Loss_D: -0.023198 Loss_G: 0.010139 Loss_D_real: -0.015915 Loss_D_fake 0.007283
[926/5000][55/535][95397] Loss_D: -0.022472 Loss_G: -0.001893 Loss_D_real: -0.009807 Loss_D_fake 0.012665
[926/5000][60/535][95398] Loss_D: -0.022866 Loss_G: 0.013635 Loss_D_real: -0.012548 Loss_D_fake 0.010319
[926/5000][65/535][95399] Loss_D: -0.023418 Loss_G: 0.010023 Loss_D_real: -0.020917 Loss_D_fake 0.002501
[926/5000][70/535][95400] Loss_D: -0.023056 Loss_G: 0.006391 Loss_D_real: -0.010068 Loss_D_fake 0.012988
[926/5000][75/535][95401] Loss_D: -0.021368 Loss_G: 0.005375 Loss_D_real: -0.020509 Loss_D_fake 0.000859
[926/5000][80/535][95402] Loss_D: -0.023342 Loss_G: -0.001507 Loss_D_real: -0.009529 Loss_D_fake 0.013813
[926/5000][85/535][95403] Loss_D: -0.021026 Loss_G: -0.011962 Loss_D_real: -0.006770 Loss_D_fake 0.014256
[926/5000][90/535][95404] Loss_D: -0.021807 Loss_G: 0.020639 Loss_D_real: -0.020585 Loss_D_fake 0.001222
[926/5000][95/535][95405] Loss_D: -0.020700 Loss_G: 0.023787 Loss_D_real: -0.035148 Loss_D_fake -0.014448
[926/5000][100/535][95406] Loss_D: -0.022989 Loss_G: -0.010809 Loss_D_real: -0.015354 Loss_D_fake 0.007635
[926/5000][105/535][95407] Loss_D: -0.021955 Loss_G: 0.011083 Loss_D_real: -0.027880 Loss_D_fake -0.005925
[926/5000][110/535][95408] Loss_D: -0.021891 Loss_G: -0.001858 Loss_D_real: -0.002750 Loss_D_fake 0.019142
[926/5000][115/535][95409] Loss_D: -0.021683 Loss_G: 0.024246 Loss_D_real: -0.031888 Loss_D_fake -0.010204
[926/5000][120/535][95410] Loss_D: -0.022140 Loss_G: 0.013376 Loss_D_real: -0.013342 Loss_D_fake 0.008798
[926/5000][125/535][95411] Loss_D: -0.022515 Loss_G: 0.011505 Loss_D_real: -0.022420 Loss_D_fake 0.000095
[926/5000][130/535][95412] Loss_D: -0.022847 Loss_G: -0.013971 Loss_D_real: -0.010495 Loss_D_fake 0.012353
[926/5000][135/535][95413] Loss_D: -0.022593 Loss_G: 0.002937 Loss_D_real: -0.010556 Loss_D_fake 0.012037
[926/5000][140/535][95414] Loss_D: -0.021964 Loss_G: 0.018498 Loss_D_real: -0.026165 Loss_D_fake -0.004201
[926/5000][145/535][95415] Loss_D: -0.023058 Loss_G: 0.008487 Loss_D_real: -0.029398 Loss_D_fake -0.006340
[926/5000][150/535][95416] Loss_D: -0.021894 Loss_G: 0.017725 Loss_D_real: -0.027213 Loss_D_fake -0.005319
[926/5000][155/535][95417] Loss_D: -0.021032 Loss_G: 0.011839 Loss_D_real: -0.029362 Loss_D_fake -0.008330
[926/5000][160/535][95418] Loss_D: -0.022784 Loss_G: -0.002183 Loss_D_real: -0.017547 Loss_D_fake 0.005237
[926/5000][165/535][95419] Loss_D: -0.022875 Loss_G: 0.021818 Loss_D_real: -0.020906 Loss_D_fake 0.001969
[926/5000][170/535][95420] Loss_D: -0.023823 Loss_G: -0.009009 Loss_D_real: -0.010421 Loss_D_fake 0.013402
[926/5000][175/535][95421] Loss_D: -0.021752 Loss_G: 0.010952 Loss_D_real: -0.018467 Loss_D_fake 0.003285
[926/5000][180/535][95422] Loss_D: -0.022074 Loss_G: 0.002369 Loss_D_real: -0.019541 Loss_D_fake 0.002532
[926/5000][185/535][95423] Loss_D: -0.021612 Loss_G: 0.031844 Loss_D_real: -0.027008 Loss_D_fake -0.005396
[926/5000][190/535][95424] Loss_D: -0.022466 Loss_G: 0.010769 Loss_D_real: -0.014497 Loss_D_fake 0.007969
[926/5000][195/535][95425] Loss_D: -0.021047 Loss_G: 0.009052 Loss_D_real: -0.015961 Loss_D_fake 0.005087
[926/5000][200/535][95426] Loss_D: -0.020445 Loss_G: 0.014782 Loss_D_real: -0.020095 Loss_D_fake 0.000350
[926/5000][205/535][95427] Loss_D: -0.022116 Loss_G: 0.023309 Loss_D_real: -0.020105 Loss_D_fake 0.002011
[926/5000][210/535][95428] Loss_D: -0.022063 Loss_G: 0.007712 Loss_D_real: -0.018808 Loss_D_fake 0.003255
[926/5000][215/535][95429] Loss_D: -0.022266 Loss_G: 0.034247 Loss_D_real: -0.033193 Loss_D_fake -0.010927
[926/5000][220/535][95430] Loss_D: -0.023581 Loss_G: 0.009820 Loss_D_real: -0.014128 Loss_D_fake 0.009453
[926/5000][225/535][95431] Loss_D: -0.021762 Loss_G: -0.006137 Loss_D_real: -0.004908 Loss_D_fake 0.016855
[926/5000][230/535][95432] Loss_D: -0.023786 Loss_G: 0.006468 Loss_D_real: -0.011012 Loss_D_fake 0.012773
[926/5000][235/535][95433] Loss_D: -0.021848 Loss_G: 0.009130 Loss_D_real: -0.023953 Loss_D_fake -0.002105
[926/5000][240/535][95434] Loss_D: -0.020944 Loss_G: -0.014440 Loss_D_real: 0.001802 Loss_D_fake 0.022745
[926/5000][245/535][95435] Loss_D: -0.021278 Loss_G: 0.020842 Loss_D_real: -0.024820 Loss_D_fake -0.003541
[926/5000][250/535][95436] Loss_D: -0.022056 Loss_G: 0.003772 Loss_D_real: -0.016269 Loss_D_fake 0.005787
[926/5000][255/535][95437] Loss_D: -0.021184 Loss_G: -0.007811 Loss_D_real: -0.014340 Loss_D_fake 0.006844
[926/5000][260/535][95438] Loss_D: -0.022251 Loss_G: -0.001695 Loss_D_real: -0.013327 Loss_D_fake 0.008924
[926/5000][265/535][95439] Loss_D: -0.023030 Loss_G: -0.011690 Loss_D_real: -0.002431 Loss_D_fake 0.020599
[926/5000][270/535][95440] Loss_D: -0.021758 Loss_G: 0.029149 Loss_D_real: -0.016244 Loss_D_fake 0.005514
[926/5000][275/535][95441] Loss_D: -0.022135 Loss_G: -0.004316 Loss_D_real: -0.017045 Loss_D_fake 0.005090
[926/5000][280/535][95442] Loss_D: -0.022083 Loss_G: 0.016883 Loss_D_real: -0.024979 Loss_D_fake -0.002896
[926/5000][285/535][95443] Loss_D: -0.020859 Loss_G: -0.008409 Loss_D_real: -0.000897 Loss_D_fake 0.019961
[926/5000][290/535][95444] Loss_D: -0.020639 Loss_G: 0.011664 Loss_D_real: -0.020088 Loss_D_fake 0.000551
[926/5000][295/535][95445] Loss_D: -0.022886 Loss_G: -0.000900 Loss_D_real: -0.008193 Loss_D_fake 0.014693
[926/5000][300/535][95446] Loss_D: -0.021996 Loss_G: 0.014752 Loss_D_real: -0.019879 Loss_D_fake 0.002117
[926/5000][305/535][95447] Loss_D: -0.021860 Loss_G: 0.010847 Loss_D_real: -0.029704 Loss_D_fake -0.007844
[926/5000][310/535][95448] Loss_D: -0.021381 Loss_G: -0.001294 Loss_D_real: -0.008931 Loss_D_fake 0.012450
[926/5000][315/535][95449] Loss_D: -0.022901 Loss_G: 0.000771 Loss_D_real: -0.016380 Loss_D_fake 0.006521
[926/5000][320/535][95450] Loss_D: -0.022382 Loss_G: 0.004305 Loss_D_real: -0.015747 Loss_D_fake 0.006635
[926/5000][325/535][95451] Loss_D: -0.023380 Loss_G: -0.006415 Loss_D_real: -0.015456 Loss_D_fake 0.007925
[926/5000][330/535][95452] Loss_D: -0.022819 Loss_G: 0.008034 Loss_D_real: -0.023633 Loss_D_fake -0.000814
[926/5000][335/535][95453] Loss_D: -0.023490 Loss_G: 0.009122 Loss_D_real: -0.018010 Loss_D_fake 0.005480
[926/5000][340/535][95454] Loss_D: -0.021613 Loss_G: -0.001461 Loss_D_real: -0.009788 Loss_D_fake 0.011825
[926/5000][345/535][95455] Loss_D: -0.022717 Loss_G: 0.013618 Loss_D_real: -0.013047 Loss_D_fake 0.009669
[926/5000][350/535][95456] Loss_D: -0.022432 Loss_G: -0.003665 Loss_D_real: -0.007647 Loss_D_fake 0.014785
[926/5000][355/535][95457] Loss_D: -0.022044 Loss_G: 0.013517 Loss_D_real: -0.032090 Loss_D_fake -0.010046
[926/5000][360/535][95458] Loss_D: -0.021655 Loss_G: 0.008402 Loss_D_real: -0.025167 Loss_D_fake -0.003512
[926/5000][365/535][95459] Loss_D: -0.021944 Loss_G: 0.021829 Loss_D_real: -0.026335 Loss_D_fake -0.004391
[926/5000][370/535][95460] Loss_D: -0.022673 Loss_G: 0.010889 Loss_D_real: -0.030788 Loss_D_fake -0.008116
[926/5000][375/535][95461] Loss_D: -0.021635 Loss_G: -0.014350 Loss_D_real: 0.000854 Loss_D_fake 0.022489
[926/5000][380/535][95462] Loss_D: -0.021939 Loss_G: 0.004466 Loss_D_real: -0.015248 Loss_D_fake 0.006691
[926/5000][385/535][95463] Loss_D: -0.023370 Loss_G: 0.004224 Loss_D_real: -0.016382 Loss_D_fake 0.006989
[926/5000][390/535][95464] Loss_D: -0.021192 Loss_G: 0.023233 Loss_D_real: -0.028932 Loss_D_fake -0.007740
[926/5000][395/535][95465] Loss_D: -0.023837 Loss_G: 0.003866 Loss_D_real: -0.013005 Loss_D_fake 0.010832
[926/5000][400/535][95466] Loss_D: -0.022793 Loss_G: 0.001269 Loss_D_real: -0.018358 Loss_D_fake 0.004434
[926/5000][405/535][95467] Loss_D: -0.022680 Loss_G: 0.015929 Loss_D_real: -0.009938 Loss_D_fake 0.012742
[926/5000][410/535][95468] Loss_D: -0.022568 Loss_G: -0.015058 Loss_D_real: -0.011417 Loss_D_fake 0.011151
[926/5000][415/535][95469] Loss_D: -0.020669 Loss_G: 0.033674 Loss_D_real: -0.033430 Loss_D_fake -0.012761
[926/5000][420/535][95470] Loss_D: -0.022206 Loss_G: 0.005113 Loss_D_real: -0.023125 Loss_D_fake -0.000919
[926/5000][425/535][95471] Loss_D: -0.021975 Loss_G: 0.020892 Loss_D_real: -0.028594 Loss_D_fake -0.006620
[926/5000][430/535][95472] Loss_D: -0.022621 Loss_G: -0.004699 Loss_D_real: -0.006561 Loss_D_fake 0.016059
[926/5000][435/535][95473] Loss_D: -0.020957 Loss_G: 0.024414 Loss_D_real: -0.030799 Loss_D_fake -0.009842
[926/5000][440/535][95474] Loss_D: -0.021715 Loss_G: -0.004304 Loss_D_real: -0.009313 Loss_D_fake 0.012402
[926/5000][445/535][95475] Loss_D: -0.021676 Loss_G: -0.014366 Loss_D_real: -0.003870 Loss_D_fake 0.017806
[926/5000][450/535][95476] Loss_D: -0.022813 Loss_G: 0.023490 Loss_D_real: -0.012449 Loss_D_fake 0.010364
[926/5000][455/535][95477] Loss_D: -0.023792 Loss_G: 0.005233 Loss_D_real: -0.021216 Loss_D_fake 0.002576
[926/5000][460/535][95478] Loss_D: -0.020560 Loss_G: 0.000712 Loss_D_real: -0.011144 Loss_D_fake 0.009417
[926/5000][465/535][95479] Loss_D: -0.020903 Loss_G: 0.025014 Loss_D_real: -0.030500 Loss_D_fake -0.009597
[926/5000][470/535][95480] Loss_D: -0.022671 Loss_G: -0.008224 Loss_D_real: -0.013266 Loss_D_fake 0.009405
[926/5000][475/535][95481] Loss_D: -0.021972 Loss_G: 0.005097 Loss_D_real: -0.017656 Loss_D_fake 0.004315
[926/5000][480/535][95482] Loss_D: -0.022157 Loss_G: 0.004029 Loss_D_real: -0.003141 Loss_D_fake 0.019016
[926/5000][485/535][95483] Loss_D: -0.020640 Loss_G: 0.005734 Loss_D_real: -0.019151 Loss_D_fake 0.001489
[926/5000][490/535][95484] Loss_D: -0.021260 Loss_G: 0.007743 Loss_D_real: -0.021140 Loss_D_fake 0.000120
[926/5000][495/535][95485] Loss_D: -0.022409 Loss_G: 0.026299 Loss_D_real: -0.028848 Loss_D_fake -0.006439
[926/5000][500/535][95486] Loss_D: -0.020453 Loss_G: 0.020681 Loss_D_real: -0.029330 Loss_D_fake -0.008877
[926/5000][505/535][95487] Loss_D: -0.020798 Loss_G: 0.010584 Loss_D_real: -0.018099 Loss_D_fake 0.002699
[926/5000][510/535][95488] Loss_D: -0.023414 Loss_G: 0.006285 Loss_D_real: -0.027673 Loss_D_fake -0.004259
[926/5000][515/535][95489] Loss_D: -0.022238 Loss_G: 0.011538 Loss_D_real: -0.028368 Loss_D_fake -0.006129
[926/5000][520/535][95490] Loss_D: -0.022133 Loss_G: 0.015222 Loss_D_real: -0.022175 Loss_D_fake -0.000041
[926/5000][525/535][95491] Loss_D: -0.021798 Loss_G: 0.007451 Loss_D_real: -0.009968 Loss_D_fake 0.011830
[926/5000][530/535][95492] Loss_D: -0.022305 Loss_G: 0.008235 Loss_D_real: -0.027864 Loss_D_fake -0.005559
[926/5000][535/535][95493] Loss_D: -0.023247 Loss_G: -0.015691 Loss_D_real: -0.010577 Loss_D_fake 0.012670
[927/5000][5/535][95494] Loss_D: -0.022379 Loss_G: 0.011625 Loss_D_real: -0.018529 Loss_D_fake 0.003850
[927/5000][10/535][95495] Loss_D: -0.022363 Loss_G: -0.002379 Loss_D_real: -0.019860 Loss_D_fake 0.002503
[927/5000][15/535][95496] Loss_D: -0.022728 Loss_G: 0.013242 Loss_D_real: -0.022411 Loss_D_fake 0.000317
[927/5000][20/535][95497] Loss_D: -0.022967 Loss_G: 0.006451 Loss_D_real: -0.011620 Loss_D_fake 0.011347
[927/5000][25/535][95498] Loss_D: -0.019851 Loss_G: 0.011373 Loss_D_real: -0.023474 Loss_D_fake -0.003623
[927/5000][30/535][95499] Loss_D: -0.022355 Loss_G: 0.007009 Loss_D_real: -0.000436 Loss_D_fake 0.021918
[927/5000][35/535][95500] Loss_D: -0.023246 Loss_G: 0.022788 Loss_D_real: -0.024516 Loss_D_fake -0.001270
[927/5000][135/535][95501] Loss_D: -0.022854 Loss_G: 0.022389 Loss_D_real: -0.028825 Loss_D_fake -0.005971
[927/5000][140/535][95502] Loss_D: -0.022140 Loss_G: 0.011391 Loss_D_real: -0.020711 Loss_D_fake 0.001430
[927/5000][145/535][95503] Loss_D: -0.021216 Loss_G: 0.003449 Loss_D_real: -0.014645 Loss_D_fake 0.006571
[927/5000][150/535][95504] Loss_D: -0.019663 Loss_G: 0.017865 Loss_D_real: -0.023393 Loss_D_fake -0.003729
[927/5000][155/535][95505] Loss_D: -0.019511 Loss_G: -0.011096 Loss_D_real: -0.000279 Loss_D_fake 0.019233
[927/5000][160/535][95506] Loss_D: -0.021604 Loss_G: -0.000341 Loss_D_real: -0.012359 Loss_D_fake 0.009245
[927/5000][165/535][95507] Loss_D: -0.022582 Loss_G: 0.010282 Loss_D_real: -0.020141 Loss_D_fake 0.002441
[927/5000][170/535][95508] Loss_D: -0.022063 Loss_G: -0.002303 Loss_D_real: -0.023660 Loss_D_fake -0.001597
[927/5000][175/535][95509] Loss_D: -0.020540 Loss_G: 0.003331 Loss_D_real: -0.006254 Loss_D_fake 0.014286
[927/5000][180/535][95510] Loss_D: -0.021742 Loss_G: 0.008268 Loss_D_real: -0.007344 Loss_D_fake 0.014399
[927/5000][185/535][95511] Loss_D: -0.022377 Loss_G: -0.004449 Loss_D_real: -0.011981 Loss_D_fake 0.010396
[927/5000][190/535][95512] Loss_D: -0.021885 Loss_G: 0.004059 Loss_D_real: -0.017443 Loss_D_fake 0.004442
[927/5000][195/535][95513] Loss_D: -0.022482 Loss_G: 0.012875 Loss_D_real: -0.027288 Loss_D_fake -0.004805
[927/5000][200/535][95514] Loss_D: -0.021138 Loss_G: -0.000998 Loss_D_real: -0.010094 Loss_D_fake 0.011043
[927/5000][205/535][95515] Loss_D: -0.021968 Loss_G: 0.023804 Loss_D_real: -0.018696 Loss_D_fake 0.003273
[927/5000][210/535][95516] Loss_D: -0.021982 Loss_G: 0.005651 Loss_D_real: -0.024571 Loss_D_fake -0.002588
[927/5000][215/535][95517] Loss_D: -0.021024 Loss_G: 0.014456 Loss_D_real: -0.027743 Loss_D_fake -0.006719
[927/5000][220/535][95518] Loss_D: -0.021443 Loss_G: 0.018576 Loss_D_real: -0.029489 Loss_D_fake -0.008045
[927/5000][225/535][95519] Loss_D: -0.021561 Loss_G: 0.005984 Loss_D_real: -0.022990 Loss_D_fake -0.001430
[927/5000][230/535][95520] Loss_D: -0.021770 Loss_G: 0.003354 Loss_D_real: -0.017310 Loss_D_fake 0.004460
[927/5000][235/535][95521] Loss_D: -0.022238 Loss_G: -0.003967 Loss_D_real: -0.011286 Loss_D_fake 0.010952
[927/5000][240/535][95522] Loss_D: -0.022388 Loss_G: 0.009393 Loss_D_real: -0.012498 Loss_D_fake 0.009889
[927/5000][245/535][95523] Loss_D: -0.021765 Loss_G: -0.004956 Loss_D_real: -0.001820 Loss_D_fake 0.019945
[927/5000][250/535][95524] Loss_D: -0.022614 Loss_G: 0.005962 Loss_D_real: -0.015826 Loss_D_fake 0.006788
[927/5000][255/535][95525] Loss_D: -0.021900 Loss_G: 0.005764 Loss_D_real: -0.022136 Loss_D_fake -0.000236
[927/5000][260/535][95526] Loss_D: -0.021508 Loss_G: 0.020285 Loss_D_real: -0.024071 Loss_D_fake -0.002563
[927/5000][265/535][95527] Loss_D: -0.021547 Loss_G: 0.009723 Loss_D_real: -0.009604 Loss_D_fake 0.011943
[927/5000][270/535][95528] Loss_D: -0.021233 Loss_G: 0.006204 Loss_D_real: -0.012922 Loss_D_fake 0.008312
[927/5000][275/535][95529] Loss_D: -0.020913 Loss_G: 0.014094 Loss_D_real: -0.021838 Loss_D_fake -0.000925
[927/5000][280/535][95530] Loss_D: -0.021639 Loss_G: 0.014240 Loss_D_real: -0.016147 Loss_D_fake 0.005492
[927/5000][285/535][95531] Loss_D: -0.022970 Loss_G: 0.009417 Loss_D_real: -0.025951 Loss_D_fake -0.002981
[927/5000][290/535][95532] Loss_D: -0.021380 Loss_G: 0.010857 Loss_D_real: -0.013834 Loss_D_fake 0.007546
[927/5000][295/535][95533] Loss_D: -0.021564 Loss_G: 0.015772 Loss_D_real: -0.016645 Loss_D_fake 0.004918
[927/5000][300/535][95534] Loss_D: -0.022380 Loss_G: 0.016031 Loss_D_real: -0.013588 Loss_D_fake 0.008792
[927/5000][305/535][95535] Loss_D: -0.020368 Loss_G: 0.019910 Loss_D_real: -0.024857 Loss_D_fake -0.004489
[927/5000][310/535][95536] Loss_D: -0.023459 Loss_G: -0.002221 Loss_D_real: -0.023112 Loss_D_fake 0.000347
[927/5000][315/535][95537] Loss_D: -0.021873 Loss_G: -0.000262 Loss_D_real: -0.019473 Loss_D_fake 0.002400
[927/5000][320/535][95538] Loss_D: -0.022629 Loss_G: 0.017797 Loss_D_real: -0.017734 Loss_D_fake 0.004895
[927/5000][325/535][95539] Loss_D: -0.022894 Loss_G: -0.002664 Loss_D_real: -0.006566 Loss_D_fake 0.016328
[927/5000][330/535][95540] Loss_D: -0.022833 Loss_G: 0.025048 Loss_D_real: -0.029093 Loss_D_fake -0.006260
[927/5000][335/535][95541] Loss_D: -0.022966 Loss_G: 0.006348 Loss_D_real: -0.019428 Loss_D_fake 0.003538
[927/5000][340/535][95542] Loss_D: -0.022190 Loss_G: -0.002507 Loss_D_real: -0.013662 Loss_D_fake 0.008528
[927/5000][345/535][95543] Loss_D: -0.022209 Loss_G: 0.007206 Loss_D_real: -0.011358 Loss_D_fake 0.010851
[927/5000][350/535][95544] Loss_D: -0.019791 Loss_G: 0.029518 Loss_D_real: -0.035084 Loss_D_fake -0.015293
[927/5000][355/535][95545] Loss_D: -0.022650 Loss_G: 0.002816 Loss_D_real: -0.009350 Loss_D_fake 0.013300
[927/5000][360/535][95546] Loss_D: -0.022509 Loss_G: 0.017632 Loss_D_real: -0.039114 Loss_D_fake -0.016606
[927/5000][365/535][95547] Loss_D: -0.024076 Loss_G: -0.001168 Loss_D_real: -0.008635 Loss_D_fake 0.015441
[927/5000][370/535][95548] Loss_D: -0.022199 Loss_G: 0.005372 Loss_D_real: -0.018527 Loss_D_fake 0.003672
[927/5000][375/535][95549] Loss_D: -0.023190 Loss_G: 0.006803 Loss_D_real: -0.017070 Loss_D_fake 0.006121
[927/5000][380/535][95550] Loss_D: -0.023169 Loss_G: -0.005506 Loss_D_real: -0.014130 Loss_D_fake 0.009039
[927/5000][385/535][95551] Loss_D: -0.022331 Loss_G: 0.004722 Loss_D_real: -0.024469 Loss_D_fake -0.002138
[927/5000][390/535][95552] Loss_D: -0.022300 Loss_G: 0.014263 Loss_D_real: -0.008578 Loss_D_fake 0.013722
[927/5000][395/535][95553] Loss_D: -0.020990 Loss_G: 0.000985 Loss_D_real: -0.012141 Loss_D_fake 0.008849
[927/5000][400/535][95554] Loss_D: -0.022197 Loss_G: -0.008811 Loss_D_real: 0.002620 Loss_D_fake 0.024817
[927/5000][405/535][95555] Loss_D: -0.022082 Loss_G: 0.007813 Loss_D_real: -0.020017 Loss_D_fake 0.002065
[927/5000][410/535][95556] Loss_D: -0.021704 Loss_G: -0.002449 Loss_D_real: -0.006566 Loss_D_fake 0.015139
[927/5000][415/535][95557] Loss_D: -0.021603 Loss_G: 0.006899 Loss_D_real: -0.023600 Loss_D_fake -0.001997
[927/5000][420/535][95558] Loss_D: -0.020736 Loss_G: 0.032473 Loss_D_real: -0.032205 Loss_D_fake -0.011468
[927/5000][425/535][95559] Loss_D: -0.021498 Loss_G: 0.003788 Loss_D_real: -0.010996 Loss_D_fake 0.010501
[927/5000][430/535][95560] Loss_D: -0.022232 Loss_G: 0.004932 Loss_D_real: -0.024410 Loss_D_fake -0.002179
[927/5000][435/535][95561] Loss_D: -0.024183 Loss_G: 0.000350 Loss_D_real: -0.018626 Loss_D_fake 0.005557
[927/5000][440/535][95562] Loss_D: -0.021440 Loss_G: 0.023272 Loss_D_real: -0.024604 Loss_D_fake -0.003164
[927/5000][445/535][95563] Loss_D: -0.021877 Loss_G: 0.000195 Loss_D_real: -0.010531 Loss_D_fake 0.011346
[927/5000][450/535][95564] Loss_D: -0.021115 Loss_G: 0.000196 Loss_D_real: -0.011459 Loss_D_fake 0.009655
[927/5000][455/535][95565] Loss_D: -0.019932 Loss_G: 0.033788 Loss_D_real: -0.031155 Loss_D_fake -0.011222
[927/5000][460/535][95566] Loss_D: -0.022834 Loss_G: 0.005989 Loss_D_real: -0.019343 Loss_D_fake 0.003491
[927/5000][465/535][95567] Loss_D: -0.021492 Loss_G: 0.011956 Loss_D_real: -0.026288 Loss_D_fake -0.004796
[927/5000][470/535][95568] Loss_D: -0.021873 Loss_G: 0.018239 Loss_D_real: -0.031919 Loss_D_fake -0.010047
[927/5000][475/535][95569] Loss_D: -0.022317 Loss_G: -0.014215 Loss_D_real: -0.007655 Loss_D_fake 0.014662
[927/5000][480/535][95570] Loss_D: -0.021918 Loss_G: 0.000847 Loss_D_real: -0.014468 Loss_D_fake 0.007449
[927/5000][485/535][95571] Loss_D: -0.023327 Loss_G: 0.017697 Loss_D_real: -0.016235 Loss_D_fake 0.007092
[927/5000][490/535][95572] Loss_D: -0.023155 Loss_G: 0.007432 Loss_D_real: -0.010882 Loss_D_fake 0.012274
[927/5000][495/535][95573] Loss_D: -0.022302 Loss_G: 0.012059 Loss_D_real: -0.022417 Loss_D_fake -0.000114
[927/5000][500/535][95574] Loss_D: -0.021926 Loss_G: 0.006188 Loss_D_real: -0.009218 Loss_D_fake 0.012709
[927/5000][505/535][95575] Loss_D: -0.021745 Loss_G: -0.012151 Loss_D_real: -0.013465 Loss_D_fake 0.008280
[927/5000][510/535][95576] Loss_D: -0.022441 Loss_G: 0.008513 Loss_D_real: -0.015372 Loss_D_fake 0.007069
[927/5000][515/535][95577] Loss_D: -0.021967 Loss_G: 0.010293 Loss_D_real: -0.024622 Loss_D_fake -0.002655
[927/5000][520/535][95578] Loss_D: -0.020825 Loss_G: 0.025429 Loss_D_real: -0.031671 Loss_D_fake -0.010846
[927/5000][525/535][95579] Loss_D: -0.023284 Loss_G: 0.003968 Loss_D_real: -0.007130 Loss_D_fake 0.016154
[927/5000][530/535][95580] Loss_D: -0.021589 Loss_G: -0.005129 Loss_D_real: -0.018725 Loss_D_fake 0.002864
[927/5000][535/535][95581] Loss_D: -0.018558 Loss_G: -0.038293 Loss_D_real: -0.008335 Loss_D_fake 0.010223
[928/5000][5/535][95582] Loss_D: -0.022193 Loss_G: 0.015581 Loss_D_real: -0.014687 Loss_D_fake 0.007506
[928/5000][10/535][95583] Loss_D: -0.021703 Loss_G: 0.009908 Loss_D_real: -0.012749 Loss_D_fake 0.008954
[928/5000][15/535][95584] Loss_D: -0.022969 Loss_G: 0.020540 Loss_D_real: -0.023130 Loss_D_fake -0.000161
[928/5000][20/535][95585] Loss_D: -0.022054 Loss_G: -0.000651 Loss_D_real: -0.004082 Loss_D_fake 0.017972
[928/5000][25/535][95586] Loss_D: -0.021340 Loss_G: -0.002359 Loss_D_real: -0.006812 Loss_D_fake 0.014528
[928/5000][30/535][95587] Loss_D: -0.022577 Loss_G: 0.014407 Loss_D_real: -0.013579 Loss_D_fake 0.008998
[928/5000][35/535][95588] Loss_D: -0.023627 Loss_G: 0.004884 Loss_D_real: -0.019695 Loss_D_fake 0.003931
[928/5000][40/535][95589] Loss_D: -0.021567 Loss_G: 0.020346 Loss_D_real: -0.039844 Loss_D_fake -0.018277
[928/5000][45/535][95590] Loss_D: -0.023135 Loss_G: -0.005720 Loss_D_real: -0.017639 Loss_D_fake 0.005496
[928/5000][50/535][95591] Loss_D: -0.022348 Loss_G: 0.004291 Loss_D_real: -0.008432 Loss_D_fake 0.013915
[928/5000][55/535][95592] Loss_D: -0.022753 Loss_G: 0.011957 Loss_D_real: -0.014452 Loss_D_fake 0.008301
[928/5000][60/535][95593] Loss_D: -0.022136 Loss_G: 0.015930 Loss_D_real: -0.028564 Loss_D_fake -0.006428
[928/5000][65/535][95594] Loss_D: -0.022774 Loss_G: 0.027146 Loss_D_real: -0.023717 Loss_D_fake -0.000943
[928/5000][70/535][95595] Loss_D: -0.022256 Loss_G: 0.013706 Loss_D_real: -0.032542 Loss_D_fake -0.010287
[928/5000][75/535][95596] Loss_D: -0.022583 Loss_G: -0.000670 Loss_D_real: -0.004823 Loss_D_fake 0.017759
[928/5000][80/535][95597] Loss_D: -0.022740 Loss_G: -0.003475 Loss_D_real: -0.005935 Loss_D_fake 0.016804
[928/5000][85/535][95598] Loss_D: -0.022442 Loss_G: 0.020080 Loss_D_real: -0.023303 Loss_D_fake -0.000862
[928/5000][90/535][95599] Loss_D: -0.021227 Loss_G: 0.014559 Loss_D_real: -0.022942 Loss_D_fake -0.001714
[928/5000][95/535][95600] Loss_D: -0.020743 Loss_G: 0.021445 Loss_D_real: -0.033962 Loss_D_fake -0.013219
[928/5000][100/535][95601] Loss_D: -0.023083 Loss_G: 0.011337 Loss_D_real: -0.017558 Loss_D_fake 0.005525
[928/5000][105/535][95602] Loss_D: -0.021837 Loss_G: 0.001717 Loss_D_real: -0.019705 Loss_D_fake 0.002132
[928/5000][110/535][95603] Loss_D: -0.023624 Loss_G: 0.003105 Loss_D_real: -0.014735 Loss_D_fake 0.008890
[928/5000][115/535][95604] Loss_D: -0.022204 Loss_G: 0.018611 Loss_D_real: -0.025479 Loss_D_fake -0.003275
[928/5000][120/535][95605] Loss_D: -0.022778 Loss_G: -0.002354 Loss_D_real: -0.008426 Loss_D_fake 0.014352
[928/5000][125/535][95606] Loss_D: -0.023283 Loss_G: 0.012800 Loss_D_real: -0.023136 Loss_D_fake 0.000146
[928/5000][130/535][95607] Loss_D: -0.023307 Loss_G: 0.001214 Loss_D_real: -0.007192 Loss_D_fake 0.016115
[928/5000][135/535][95608] Loss_D: -0.022978 Loss_G: 0.008149 Loss_D_real: -0.021437 Loss_D_fake 0.001541
[928/5000][140/535][95609] Loss_D: -0.023306 Loss_G: 0.005819 Loss_D_real: -0.010241 Loss_D_fake 0.013065
[928/5000][145/535][95610] Loss_D: -0.022417 Loss_G: -0.007856 Loss_D_real: -0.011712 Loss_D_fake 0.010705
[928/5000][150/535][95611] Loss_D: -0.022431 Loss_G: 0.014357 Loss_D_real: -0.021653 Loss_D_fake 0.000778
[928/5000][155/535][95612] Loss_D: -0.022778 Loss_G: 0.017168 Loss_D_real: -0.023397 Loss_D_fake -0.000619
[928/5000][160/535][95613] Loss_D: -0.022776 Loss_G: 0.012807 Loss_D_real: -0.018713 Loss_D_fake 0.004063
[928/5000][165/535][95614] Loss_D: -0.022609 Loss_G: 0.018870 Loss_D_real: -0.031761 Loss_D_fake -0.009151
[928/5000][170/535][95615] Loss_D: -0.021447 Loss_G: -0.005598 Loss_D_real: -0.021637 Loss_D_fake -0.000190
[928/5000][175/535][95616] Loss_D: -0.022962 Loss_G: 0.003423 Loss_D_real: -0.019076 Loss_D_fake 0.003886
[928/5000][180/535][95617] Loss_D: -0.022057 Loss_G: -0.001459 Loss_D_real: -0.012202 Loss_D_fake 0.009855
[928/5000][185/535][95618] Loss_D: -0.022233 Loss_G: 0.016177 Loss_D_real: -0.025947 Loss_D_fake -0.003714
[928/5000][190/535][95619] Loss_D: -0.020765 Loss_G: 0.023012 Loss_D_real: -0.033025 Loss_D_fake -0.012260
[928/5000][195/535][95620] Loss_D: -0.021968 Loss_G: 0.016366 Loss_D_real: -0.016318 Loss_D_fake 0.005650
[928/5000][200/535][95621] Loss_D: -0.023114 Loss_G: 0.014546 Loss_D_real: -0.025700 Loss_D_fake -0.002585
[928/5000][205/535][95622] Loss_D: -0.022481 Loss_G: 0.008007 Loss_D_real: -0.010988 Loss_D_fake 0.011493
[928/5000][210/535][95623] Loss_D: -0.022487 Loss_G: 0.010291 Loss_D_real: -0.019905 Loss_D_fake 0.002582
[928/5000][215/535][95624] Loss_D: -0.019994 Loss_G: 0.030681 Loss_D_real: -0.035941 Loss_D_fake -0.015947
[928/5000][220/535][95625] Loss_D: -0.023288 Loss_G: -0.009922 Loss_D_real: -0.008551 Loss_D_fake 0.014737
[928/5000][225/535][95626] Loss_D: -0.021636 Loss_G: 0.018099 Loss_D_real: -0.016548 Loss_D_fake 0.005089
[928/5000][230/535][95627] Loss_D: -0.021258 Loss_G: -0.005747 Loss_D_real: -0.006720 Loss_D_fake 0.014538
[928/5000][235/535][95628] Loss_D: -0.022047 Loss_G: 0.007705 Loss_D_real: -0.011444 Loss_D_fake 0.010603
[928/5000][240/535][95629] Loss_D: -0.021459 Loss_G: 0.019520 Loss_D_real: -0.031165 Loss_D_fake -0.009706
[928/5000][245/535][95630] Loss_D: -0.021757 Loss_G: 0.015174 Loss_D_real: -0.025512 Loss_D_fake -0.003755
[928/5000][250/535][95631] Loss_D: -0.022165 Loss_G: 0.014239 Loss_D_real: -0.017952 Loss_D_fake 0.004213
[928/5000][255/535][95632] Loss_D: -0.021619 Loss_G: -0.007001 Loss_D_real: -0.006965 Loss_D_fake 0.014655
[928/5000][260/535][95633] Loss_D: -0.022421 Loss_G: 0.011284 Loss_D_real: -0.025487 Loss_D_fake -0.003066
[928/5000][265/535][95634] Loss_D: -0.022745 Loss_G: 0.012370 Loss_D_real: -0.035915 Loss_D_fake -0.013169
[928/5000][270/535][95635] Loss_D: -0.022428 Loss_G: 0.020271 Loss_D_real: -0.026925 Loss_D_fake -0.004497
[928/5000][275/535][95636] Loss_D: -0.022985 Loss_G: -0.002838 Loss_D_real: -0.013648 Loss_D_fake 0.009337
[928/5000][280/535][95637] Loss_D: -0.023580 Loss_G: -0.002485 Loss_D_real: -0.013653 Loss_D_fake 0.009927
[928/5000][285/535][95638] Loss_D: -0.022335 Loss_G: -0.009658 Loss_D_real: -0.011165 Loss_D_fake 0.011170
[928/5000][290/535][95639] Loss_D: -0.021481 Loss_G: -0.000090 Loss_D_real: -0.016806 Loss_D_fake 0.004675
[928/5000][295/535][95640] Loss_D: -0.022051 Loss_G: 0.019798 Loss_D_real: -0.034914 Loss_D_fake -0.012863
[928/5000][300/535][95641] Loss_D: -0.021462 Loss_G: 0.003391 Loss_D_real: -0.017601 Loss_D_fake 0.003860
[928/5000][305/535][95642] Loss_D: -0.021278 Loss_G: 0.000282 Loss_D_real: -0.009602 Loss_D_fake 0.011676
[928/5000][310/535][95643] Loss_D: -0.022491 Loss_G: 0.005419 Loss_D_real: -0.015279 Loss_D_fake 0.007212
[928/5000][315/535][95644] Loss_D: -0.022076 Loss_G: -0.001596 Loss_D_real: -0.005601 Loss_D_fake 0.016475
[928/5000][320/535][95645] Loss_D: -0.020705 Loss_G: -0.006325 Loss_D_real: -0.008842 Loss_D_fake 0.011863
[928/5000][325/535][95646] Loss_D: -0.022556 Loss_G: 0.014362 Loss_D_real: -0.020573 Loss_D_fake 0.001983
[928/5000][330/535][95647] Loss_D: -0.020038 Loss_G: 0.030479 Loss_D_real: -0.043727 Loss_D_fake -0.023690
[928/5000][335/535][95648] Loss_D: -0.022765 Loss_G: -0.002686 Loss_D_real: -0.012090 Loss_D_fake 0.010675
[928/5000][340/535][95649] Loss_D: -0.022021 Loss_G: 0.018687 Loss_D_real: -0.028795 Loss_D_fake -0.006774
[928/5000][345/535][95650] Loss_D: -0.022936 Loss_G: 0.017054 Loss_D_real: -0.033416 Loss_D_fake -0.010481
[928/5000][350/535][95651] Loss_D: -0.022381 Loss_G: 0.012357 Loss_D_real: -0.024522 Loss_D_fake -0.002140
[928/5000][355/535][95652] Loss_D: -0.022748 Loss_G: -0.014158 Loss_D_real: -0.017115 Loss_D_fake 0.005633
[928/5000][360/535][95653] Loss_D: -0.022549 Loss_G: -0.010869 Loss_D_real: -0.013829 Loss_D_fake 0.008720
[928/5000][365/535][95654] Loss_D: -0.022116 Loss_G: 0.011380 Loss_D_real: -0.023902 Loss_D_fake -0.001786
[928/5000][370/535][95655] Loss_D: -0.022177 Loss_G: 0.016794 Loss_D_real: -0.028121 Loss_D_fake -0.005944
[928/5000][375/535][95656] Loss_D: -0.021603 Loss_G: -0.006906 Loss_D_real: -0.004599 Loss_D_fake 0.017004
[928/5000][380/535][95657] Loss_D: -0.020170 Loss_G: 0.027348 Loss_D_real: -0.034298 Loss_D_fake -0.014128
[928/5000][385/535][95658] Loss_D: -0.022272 Loss_G: -0.016027 Loss_D_real: -0.005868 Loss_D_fake 0.016404
[928/5000][390/535][95659] Loss_D: -0.020963 Loss_G: 0.002558 Loss_D_real: -0.013575 Loss_D_fake 0.007388
[928/5000][395/535][95660] Loss_D: -0.021498 Loss_G: 0.015552 Loss_D_real: -0.022520 Loss_D_fake -0.001022
[928/5000][400/535][95661] Loss_D: -0.020284 Loss_G: 0.013273 Loss_D_real: -0.026931 Loss_D_fake -0.006646
[928/5000][405/535][95662] Loss_D: -0.022117 Loss_G: 0.003565 Loss_D_real: -0.012071 Loss_D_fake 0.010047
[928/5000][410/535][95663] Loss_D: -0.020867 Loss_G: 0.021524 Loss_D_real: -0.024402 Loss_D_fake -0.003535
[928/5000][415/535][95664] Loss_D: -0.021758 Loss_G: 0.013886 Loss_D_real: -0.028094 Loss_D_fake -0.006335
[928/5000][420/535][95665] Loss_D: -0.023046 Loss_G: 0.002035 Loss_D_real: -0.011616 Loss_D_fake 0.011430
[928/5000][425/535][95666] Loss_D: -0.021794 Loss_G: -0.001261 Loss_D_real: -0.009212 Loss_D_fake 0.012582
[928/5000][430/535][95667] Loss_D: -0.023522 Loss_G: 0.011085 Loss_D_real: -0.018341 Loss_D_fake 0.005181
[928/5000][435/535][95668] Loss_D: -0.021760 Loss_G: -0.001198 Loss_D_real: 0.004099 Loss_D_fake 0.025859
[928/5000][440/535][95669] Loss_D: -0.022285 Loss_G: 0.009344 Loss_D_real: -0.014953 Loss_D_fake 0.007331
[928/5000][445/535][95670] Loss_D: -0.023554 Loss_G: 0.009790 Loss_D_real: -0.021073 Loss_D_fake 0.002481
[928/5000][450/535][95671] Loss_D: -0.022397 Loss_G: -0.013391 Loss_D_real: 0.003103 Loss_D_fake 0.025500
[928/5000][455/535][95672] Loss_D: -0.022684 Loss_G: -0.000128 Loss_D_real: -0.016848 Loss_D_fake 0.005836
[928/5000][460/535][95673] Loss_D: -0.021703 Loss_G: -0.001756 Loss_D_real: -0.005351 Loss_D_fake 0.016353
[928/5000][465/535][95674] Loss_D: -0.021964 Loss_G: 0.024998 Loss_D_real: -0.027748 Loss_D_fake -0.005784
[928/5000][470/535][95675] Loss_D: -0.022197 Loss_G: 0.001327 Loss_D_real: -0.019310 Loss_D_fake 0.002887
[928/5000][475/535][95676] Loss_D: -0.023295 Loss_G: 0.014042 Loss_D_real: -0.020179 Loss_D_fake 0.003116
[928/5000][480/535][95677] Loss_D: -0.022987 Loss_G: 0.018157 Loss_D_real: -0.025300 Loss_D_fake -0.002313
[928/5000][485/535][95678] Loss_D: -0.021708 Loss_G: -0.002363 Loss_D_real: -0.007781 Loss_D_fake 0.013928
[928/5000][490/535][95679] Loss_D: -0.021471 Loss_G: 0.010088 Loss_D_real: -0.013011 Loss_D_fake 0.008460
[928/5000][495/535][95680] Loss_D: -0.021588 Loss_G: 0.009805 Loss_D_real: -0.019394 Loss_D_fake 0.002195
[928/5000][500/535][95681] Loss_D: -0.020888 Loss_G: 0.022890 Loss_D_real: -0.037325 Loss_D_fake -0.016438
[928/5000][505/535][95682] Loss_D: -0.020018 Loss_G: 0.007274 Loss_D_real: -0.029706 Loss_D_fake -0.009688
[928/5000][510/535][95683] Loss_D: -0.022869 Loss_G: 0.000986 Loss_D_real: -0.015312 Loss_D_fake 0.007557
[928/5000][515/535][95684] Loss_D: -0.021886 Loss_G: -0.001351 Loss_D_real: -0.016395 Loss_D_fake 0.005491
[928/5000][520/535][95685] Loss_D: -0.023050 Loss_G: 0.013747 Loss_D_real: -0.014402 Loss_D_fake 0.008648
[928/5000][525/535][95686] Loss_D: -0.021722 Loss_G: 0.007473 Loss_D_real: -0.019419 Loss_D_fake 0.002304
[928/5000][530/535][95687] Loss_D: -0.022485 Loss_G: 0.002268 Loss_D_real: -0.024429 Loss_D_fake -0.001944
[928/5000][535/535][95688] Loss_D: -0.021863 Loss_G: 0.011116 Loss_D_real: -0.018985 Loss_D_fake 0.002878
[929/5000][5/535][95689] Loss_D: -0.021935 Loss_G: 0.005835 Loss_D_real: -0.013122 Loss_D_fake 0.008814
[929/5000][10/535][95690] Loss_D: -0.022319 Loss_G: 0.020801 Loss_D_real: -0.028705 Loss_D_fake -0.006386
[929/5000][15/535][95691] Loss_D: -0.021212 Loss_G: 0.000373 Loss_D_real: -0.010898 Loss_D_fake 0.010314
[929/5000][20/535][95692] Loss_D: -0.020973 Loss_G: 0.024334 Loss_D_real: -0.028900 Loss_D_fake -0.007926
[929/5000][25/535][95693] Loss_D: -0.021857 Loss_G: 0.019361 Loss_D_real: -0.030104 Loss_D_fake -0.008247
[929/5000][30/535][95694] Loss_D: -0.022160 Loss_G: -0.008816 Loss_D_real: -0.012398 Loss_D_fake 0.009762
[929/5000][35/535][95695] Loss_D: -0.022173 Loss_G: 0.003326 Loss_D_real: -0.018098 Loss_D_fake 0.004075
[929/5000][40/535][95696] Loss_D: -0.023260 Loss_G: 0.006630 Loss_D_real: -0.021347 Loss_D_fake 0.001914
[929/5000][45/535][95697] Loss_D: -0.021848 Loss_G: 0.016898 Loss_D_real: -0.025756 Loss_D_fake -0.003908
[929/5000][50/535][95698] Loss_D: -0.021916 Loss_G: -0.007651 Loss_D_real: -0.005472 Loss_D_fake 0.016444
[929/5000][55/535][95699] Loss_D: -0.023120 Loss_G: -0.006486 Loss_D_real: -0.011825 Loss_D_fake 0.011294
[929/5000][60/535][95700] Loss_D: -0.022615 Loss_G: 0.005308 Loss_D_real: -0.021678 Loss_D_fake 0.000937
[929/5000][65/535][95701] Loss_D: -0.022844 Loss_G: 0.017451 Loss_D_real: -0.023047 Loss_D_fake -0.000203
[929/5000][70/535][95702] Loss_D: -0.022437 Loss_G: 0.011006 Loss_D_real: -0.016786 Loss_D_fake 0.005651
[929/5000][75/535][95703] Loss_D: -0.021489 Loss_G: 0.001236 Loss_D_real: -0.028190 Loss_D_fake -0.006702
[929/5000][80/535][95704] Loss_D: -0.022608 Loss_G: 0.005743 Loss_D_real: -0.013151 Loss_D_fake 0.009457
[929/5000][85/535][95705] Loss_D: -0.022889 Loss_G: 0.016549 Loss_D_real: -0.019492 Loss_D_fake 0.003397
[929/5000][90/535][95706] Loss_D: -0.022797 Loss_G: 0.007290 Loss_D_real: -0.017490 Loss_D_fake 0.005307
[929/5000][95/535][95707] Loss_D: -0.021692 Loss_G: 0.023339 Loss_D_real: -0.028271 Loss_D_fake -0.006579
[929/5000][100/535][95708] Loss_D: -0.021798 Loss_G: -0.001880 Loss_D_real: -0.012938 Loss_D_fake 0.008860
[929/5000][105/535][95709] Loss_D: -0.021154 Loss_G: 0.024427 Loss_D_real: -0.026920 Loss_D_fake -0.005766
[929/5000][110/535][95710] Loss_D: -0.022380 Loss_G: -0.004459 Loss_D_real: -0.015048 Loss_D_fake 0.007332
[929/5000][115/535][95711] Loss_D: -0.022744 Loss_G: 0.010342 Loss_D_real: -0.011500 Loss_D_fake 0.011245
[929/5000][120/535][95712] Loss_D: -0.023191 Loss_G: -0.005749 Loss_D_real: -0.018143 Loss_D_fake 0.005048
[929/5000][125/535][95713] Loss_D: -0.021490 Loss_G: 0.002418 Loss_D_real: -0.018409 Loss_D_fake 0.003082
[929/5000][130/535][95714] Loss_D: -0.021683 Loss_G: 0.023630 Loss_D_real: -0.030329 Loss_D_fake -0.008646
[929/5000][135/535][95715] Loss_D: -0.023402 Loss_G: 0.021445 Loss_D_real: -0.007044 Loss_D_fake 0.016358
[929/5000][140/535][95716] Loss_D: -0.021415 Loss_G: -0.015964 Loss_D_real: -0.011480 Loss_D_fake 0.009935
[929/5000][145/535][95717] Loss_D: -0.022859 Loss_G: -0.000684 Loss_D_real: -0.012601 Loss_D_fake 0.010258
[929/5000][150/535][95718] Loss_D: -0.022084 Loss_G: 0.013673 Loss_D_real: -0.026234 Loss_D_fake -0.004150
[929/5000][155/535][95719] Loss_D: -0.021439 Loss_G: -0.007093 Loss_D_real: -0.008932 Loss_D_fake 0.012507
[929/5000][160/535][95720] Loss_D: -0.021804 Loss_G: 0.011318 Loss_D_real: -0.026687 Loss_D_fake -0.004883
[929/5000][165/535][95721] Loss_D: -0.021123 Loss_G: -0.004850 Loss_D_real: -0.009014 Loss_D_fake 0.012109
[929/5000][170/535][95722] Loss_D: -0.021833 Loss_G: -0.010630 Loss_D_real: -0.003016 Loss_D_fake 0.018817
[929/5000][175/535][95723] Loss_D: -0.020884 Loss_G: 0.028027 Loss_D_real: -0.034696 Loss_D_fake -0.013812
[929/5000][180/535][95724] Loss_D: -0.022144 Loss_G: 0.001973 Loss_D_real: -0.014278 Loss_D_fake 0.007865
[929/5000][185/535][95725] Loss_D: -0.021573 Loss_G: 0.003381 Loss_D_real: -0.006324 Loss_D_fake 0.015250
[929/5000][190/535][95726] Loss_D: -0.023220 Loss_G: 0.032168 Loss_D_real: -0.028423 Loss_D_fake -0.005203
[929/5000][195/535][95727] Loss_D: -0.021602 Loss_G: -0.001419 Loss_D_real: -0.013278 Loss_D_fake 0.008324
[929/5000][200/535][95728] Loss_D: -0.021779 Loss_G: 0.013348 Loss_D_real: -0.026629 Loss_D_fake -0.004850
[929/5000][205/535][95729] Loss_D: -0.021057 Loss_G: 0.021619 Loss_D_real: -0.032791 Loss_D_fake -0.011734
[929/5000][210/535][95730] Loss_D: -0.023078 Loss_G: 0.012301 Loss_D_real: -0.017977 Loss_D_fake 0.005101
[929/5000][215/535][95731] Loss_D: -0.022286 Loss_G: 0.006457 Loss_D_real: -0.011930 Loss_D_fake 0.010357
[929/5000][220/535][95732] Loss_D: -0.021210 Loss_G: 0.026323 Loss_D_real: -0.023653 Loss_D_fake -0.002444
[929/5000][225/535][95733] Loss_D: -0.022553 Loss_G: -0.004981 Loss_D_real: -0.010130 Loss_D_fake 0.012423
[929/5000][230/535][95734] Loss_D: -0.021224 Loss_G: 0.022983 Loss_D_real: -0.037453 Loss_D_fake -0.016230
[929/5000][235/535][95735] Loss_D: -0.021392 Loss_G: -0.004849 Loss_D_real: -0.006472 Loss_D_fake 0.014920
[929/5000][240/535][95736] Loss_D: -0.021118 Loss_G: 0.025157 Loss_D_real: -0.032793 Loss_D_fake -0.011675
[929/5000][245/535][95737] Loss_D: -0.021628 Loss_G: -0.000846 Loss_D_real: -0.012039 Loss_D_fake 0.009590
[929/5000][250/535][95738] Loss_D: -0.021456 Loss_G: 0.001330 Loss_D_real: -0.017415 Loss_D_fake 0.004041
[929/5000][255/535][95739] Loss_D: -0.022269 Loss_G: -0.001894 Loss_D_real: -0.000935 Loss_D_fake 0.021335
[929/5000][260/535][95740] Loss_D: -0.022065 Loss_G: 0.005476 Loss_D_real: -0.020409 Loss_D_fake 0.001656
[929/5000][265/535][95741] Loss_D: -0.022199 Loss_G: 0.012260 Loss_D_real: -0.014451 Loss_D_fake 0.007748
[929/5000][270/535][95742] Loss_D: -0.021719 Loss_G: 0.011518 Loss_D_real: -0.021800 Loss_D_fake -0.000081
[929/5000][275/535][95743] Loss_D: -0.021560 Loss_G: 0.021589 Loss_D_real: -0.030603 Loss_D_fake -0.009044
[929/5000][280/535][95744] Loss_D: -0.020788 Loss_G: -0.008623 Loss_D_real: 0.007222 Loss_D_fake 0.028011
[929/5000][285/535][95745] Loss_D: -0.021862 Loss_G: 0.022600 Loss_D_real: -0.022144 Loss_D_fake -0.000282
[929/5000][290/535][95746] Loss_D: -0.022396 Loss_G: -0.006438 Loss_D_real: -0.011230 Loss_D_fake 0.011167
[929/5000][295/535][95747] Loss_D: -0.022395 Loss_G: 0.002687 Loss_D_real: -0.012216 Loss_D_fake 0.010179
[929/5000][300/535][95748] Loss_D: -0.021929 Loss_G: 0.002573 Loss_D_real: -0.024131 Loss_D_fake -0.002202
[929/5000][305/535][95749] Loss_D: -0.022309 Loss_G: 0.020199 Loss_D_real: -0.036169 Loss_D_fake -0.013859
[929/5000][310/535][95750] Loss_D: -0.023757 Loss_G: 0.006588 Loss_D_real: -0.018385 Loss_D_fake 0.005371
[929/5000][315/535][95751] Loss_D: -0.021706 Loss_G: -0.008144 Loss_D_real: -0.005328 Loss_D_fake 0.016378
[929/5000][320/535][95752] Loss_D: -0.022454 Loss_G: 0.001998 Loss_D_real: -0.010606 Loss_D_fake 0.011848
[929/5000][325/535][95753] Loss_D: -0.019999 Loss_G: 0.027144 Loss_D_real: -0.026558 Loss_D_fake -0.006559
[929/5000][330/535][95754] Loss_D: -0.020131 Loss_G: -0.013016 Loss_D_real: -0.001481 Loss_D_fake 0.018650
[929/5000][335/535][95755] Loss_D: -0.023144 Loss_G: 0.011117 Loss_D_real: -0.026915 Loss_D_fake -0.003770
[929/5000][340/535][95756] Loss_D: -0.021907 Loss_G: 0.015573 Loss_D_real: -0.026441 Loss_D_fake -0.004533
[929/5000][345/535][95757] Loss_D: -0.021908 Loss_G: 0.018409 Loss_D_real: -0.027514 Loss_D_fake -0.005605
[929/5000][350/535][95758] Loss_D: -0.021372 Loss_G: 0.007911 Loss_D_real: -0.012790 Loss_D_fake 0.008582
[929/5000][355/535][95759] Loss_D: -0.022016 Loss_G: 0.009543 Loss_D_real: -0.020831 Loss_D_fake 0.001185
[929/5000][360/535][95760] Loss_D: -0.022307 Loss_G: 0.019845 Loss_D_real: -0.024574 Loss_D_fake -0.002267
[929/5000][365/535][95761] Loss_D: -0.023758 Loss_G: 0.012310 Loss_D_real: -0.030387 Loss_D_fake -0.006629
[929/5000][370/535][95762] Loss_D: -0.022454 Loss_G: 0.022679 Loss_D_real: -0.028915 Loss_D_fake -0.006461
[929/5000][375/535][95763] Loss_D: -0.022765 Loss_G: 0.001604 Loss_D_real: -0.019355 Loss_D_fake 0.003411
[929/5000][380/535][95764] Loss_D: -0.022281 Loss_G: 0.006810 Loss_D_real: -0.020138 Loss_D_fake 0.002144
[929/5000][385/535][95765] Loss_D: -0.022798 Loss_G: 0.013566 Loss_D_real: -0.021466 Loss_D_fake 0.001332
[929/5000][390/535][95766] Loss_D: -0.021924 Loss_G: -0.006700 Loss_D_real: -0.009069 Loss_D_fake 0.012855
[929/5000][395/535][95767] Loss_D: -0.022096 Loss_G: 0.010390 Loss_D_real: -0.025964 Loss_D_fake -0.003868
[929/5000][400/535][95768] Loss_D: -0.022667 Loss_G: -0.002862 Loss_D_real: -0.010509 Loss_D_fake 0.012158
[929/5000][405/535][95769] Loss_D: -0.022144 Loss_G: 0.012958 Loss_D_real: -0.029021 Loss_D_fake -0.006876
[929/5000][410/535][95770] Loss_D: -0.022314 Loss_G: -0.001188 Loss_D_real: -0.009878 Loss_D_fake 0.012436
[929/5000][415/535][95771] Loss_D: -0.022106 Loss_G: 0.004666 Loss_D_real: -0.016647 Loss_D_fake 0.005460
[929/5000][420/535][95772] Loss_D: -0.022101 Loss_G: 0.029013 Loss_D_real: -0.033409 Loss_D_fake -0.011308
[929/5000][425/535][95773] Loss_D: -0.021800 Loss_G: -0.005032 Loss_D_real: -0.007745 Loss_D_fake 0.014055
[929/5000][430/535][95774] Loss_D: -0.022209 Loss_G: 0.015815 Loss_D_real: -0.018360 Loss_D_fake 0.003849
[929/5000][435/535][95775] Loss_D: -0.021836 Loss_G: -0.013395 Loss_D_real: -0.009854 Loss_D_fake 0.011982
[929/5000][440/535][95776] Loss_D: -0.020994 Loss_G: 0.009303 Loss_D_real: -0.023319 Loss_D_fake -0.002325
[929/5000][445/535][95777] Loss_D: -0.022611 Loss_G: 0.020904 Loss_D_real: -0.020871 Loss_D_fake 0.001740
[929/5000][450/535][95778] Loss_D: -0.023279 Loss_G: 0.007739 Loss_D_real: -0.010879 Loss_D_fake 0.012400
[929/5000][455/535][95779] Loss_D: -0.022227 Loss_G: 0.009435 Loss_D_real: -0.020988 Loss_D_fake 0.001239
[929/5000][460/535][95780] Loss_D: -0.022872 Loss_G: -0.001241 Loss_D_real: -0.019996 Loss_D_fake 0.002876
[929/5000][465/535][95781] Loss_D: -0.022617 Loss_G: -0.000685 Loss_D_real: -0.006266 Loss_D_fake 0.016351
[929/5000][470/535][95782] Loss_D: -0.021032 Loss_G: -0.003295 Loss_D_real: -0.017637 Loss_D_fake 0.003395
[929/5000][475/535][95783] Loss_D: -0.020678 Loss_G: 0.022400 Loss_D_real: -0.037153 Loss_D_fake -0.016475
[929/5000][480/535][95784] Loss_D: -0.022875 Loss_G: -0.000763 Loss_D_real: -0.010310 Loss_D_fake 0.012565
[929/5000][485/535][95785] Loss_D: -0.021996 Loss_G: 0.005952 Loss_D_real: -0.019349 Loss_D_fake 0.002647
[929/5000][490/535][95786] Loss_D: -0.022543 Loss_G: 0.015622 Loss_D_real: -0.023571 Loss_D_fake -0.001027
[929/5000][495/535][95787] Loss_D: -0.022485 Loss_G: 0.017460 Loss_D_real: -0.022949 Loss_D_fake -0.000463
[929/5000][500/535][95788] Loss_D: -0.020920 Loss_G: -0.006459 Loss_D_real: -0.000719 Loss_D_fake 0.020200
[929/5000][505/535][95789] Loss_D: -0.022042 Loss_G: 0.026071 Loss_D_real: -0.026756 Loss_D_fake -0.004714
[929/5000][510/535][95790] Loss_D: -0.021659 Loss_G: -0.020415 Loss_D_real: -0.003853 Loss_D_fake 0.017806
[929/5000][515/535][95791] Loss_D: -0.021420 Loss_G: 0.012415 Loss_D_real: -0.024226 Loss_D_fake -0.002806
[929/5000][520/535][95792] Loss_D: -0.022144 Loss_G: 0.017468 Loss_D_real: -0.023645 Loss_D_fake -0.001500
[929/5000][525/535][95793] Loss_D: -0.022542 Loss_G: 0.003486 Loss_D_real: -0.015742 Loss_D_fake 0.006800
[929/5000][530/535][95794] Loss_D: -0.021818 Loss_G: 0.014761 Loss_D_real: -0.022208 Loss_D_fake -0.000390
[929/5000][535/535][95795] Loss_D: -0.021954 Loss_G: -0.017561 Loss_D_real: -0.011682 Loss_D_fake 0.010272
[930/5000][5/535][95796] Loss_D: -0.021548 Loss_G: 0.015881 Loss_D_real: -0.018882 Loss_D_fake 0.002666
[930/5000][10/535][95797] Loss_D: -0.022144 Loss_G: 0.010900 Loss_D_real: -0.015013 Loss_D_fake 0.007131
[930/5000][15/535][95798] Loss_D: -0.022473 Loss_G: -0.008386 Loss_D_real: -0.010057 Loss_D_fake 0.012416
[930/5000][20/535][95799] Loss_D: -0.022241 Loss_G: 0.016040 Loss_D_real: -0.031762 Loss_D_fake -0.009521
[930/5000][25/535][95800] Loss_D: -0.020272 Loss_G: 0.020881 Loss_D_real: -0.022478 Loss_D_fake -0.002206
[930/5000][30/535][95801] Loss_D: -0.022467 Loss_G: -0.000901 Loss_D_real: -0.019592 Loss_D_fake 0.002874
[930/5000][35/535][95802] Loss_D: -0.022319 Loss_G: 0.001897 Loss_D_real: -0.004572 Loss_D_fake 0.017747
[930/5000][40/535][95803] Loss_D: -0.021468 Loss_G: 0.005954 Loss_D_real: -0.030036 Loss_D_fake -0.008568
[930/5000][45/535][95804] Loss_D: -0.022295 Loss_G: 0.002868 Loss_D_real: -0.021587 Loss_D_fake 0.000708
[930/5000][50/535][95805] Loss_D: -0.022146 Loss_G: 0.009493 Loss_D_real: -0.011710 Loss_D_fake 0.010436
[930/5000][55/535][95806] Loss_D: -0.021888 Loss_G: 0.016721 Loss_D_real: -0.029420 Loss_D_fake -0.007531
[930/5000][60/535][95807] Loss_D: -0.022534 Loss_G: 0.002242 Loss_D_real: -0.027672 Loss_D_fake -0.005138
[930/5000][65/535][95808] Loss_D: -0.021801 Loss_G: -0.007103 Loss_D_real: -0.014577 Loss_D_fake 0.007225
[930/5000][70/535][95809] Loss_D: -0.022004 Loss_G: 0.018292 Loss_D_real: -0.022465 Loss_D_fake -0.000461
[930/5000][75/535][95810] Loss_D: -0.023566 Loss_G: -0.001654 Loss_D_real: -0.012253 Loss_D_fake 0.011313
[930/5000][80/535][95811] Loss_D: -0.022398 Loss_G: 0.012035 Loss_D_real: -0.031129 Loss_D_fake -0.008731
[930/5000][85/535][95812] Loss_D: -0.022720 Loss_G: 0.031436 Loss_D_real: -0.027090 Loss_D_fake -0.004371
[930/5000][90/535][95813] Loss_D: -0.023266 Loss_G: 0.004578 Loss_D_real: -0.016967 Loss_D_fake 0.006299
[930/5000][95/535][95814] Loss_D: -0.021726 Loss_G: 0.012145 Loss_D_real: -0.016583 Loss_D_fake 0.005143
[930/5000][100/535][95815] Loss_D: -0.022511 Loss_G: 0.014072 Loss_D_real: -0.029964 Loss_D_fake -0.007453
[930/5000][105/535][95816] Loss_D: -0.022646 Loss_G: 0.003584 Loss_D_real: -0.021643 Loss_D_fake 0.001003
[930/5000][110/535][95817] Loss_D: -0.022952 Loss_G: 0.005234 Loss_D_real: -0.014211 Loss_D_fake 0.008741
[930/5000][115/535][95818] Loss_D: -0.022356 Loss_G: 0.009215 Loss_D_real: -0.016981 Loss_D_fake 0.005375
[930/5000][120/535][95819] Loss_D: -0.022665 Loss_G: 0.015354 Loss_D_real: -0.022289 Loss_D_fake 0.000375
[930/5000][125/535][95820] Loss_D: -0.022609 Loss_G: 0.016053 Loss_D_real: -0.033207 Loss_D_fake -0.010598
[930/5000][130/535][95821] Loss_D: -0.023026 Loss_G: 0.009195 Loss_D_real: -0.012517 Loss_D_fake 0.010510
[930/5000][135/535][95822] Loss_D: -0.023416 Loss_G: 0.000956 Loss_D_real: -0.015388 Loss_D_fake 0.008028
[930/5000][140/535][95823] Loss_D: -0.023699 Loss_G: 0.006491 Loss_D_real: -0.020350 Loss_D_fake 0.003349
[930/5000][145/535][95824] Loss_D: -0.022142 Loss_G: 0.009949 Loss_D_real: -0.019416 Loss_D_fake 0.002726
[930/5000][150/535][95825] Loss_D: -0.022523 Loss_G: 0.012478 Loss_D_real: -0.017542 Loss_D_fake 0.004982
[930/5000][155/535][95826] Loss_D: -0.022436 Loss_G: -0.011455 Loss_D_real: -0.009428 Loss_D_fake 0.013008
[930/5000][160/535][95827] Loss_D: -0.021864 Loss_G: 0.001771 Loss_D_real: -0.008247 Loss_D_fake 0.013617
[930/5000][165/535][95828] Loss_D: -0.021548 Loss_G: 0.000512 Loss_D_real: -0.007256 Loss_D_fake 0.014292
[930/5000][170/535][95829] Loss_D: -0.020640 Loss_G: 0.026292 Loss_D_real: -0.030384 Loss_D_fake -0.009744
[930/5000][175/535][95830] Loss_D: -0.021685 Loss_G: -0.008079 Loss_D_real: 0.000874 Loss_D_fake 0.022558
[930/5000][180/535][95831] Loss_D: -0.021890 Loss_G: 0.008288 Loss_D_real: -0.017798 Loss_D_fake 0.004092
[930/5000][185/535][95832] Loss_D: -0.021992 Loss_G: -0.007879 Loss_D_real: -0.002511 Loss_D_fake 0.019481
[930/5000][190/535][95833] Loss_D: -0.023178 Loss_G: 0.013006 Loss_D_real: -0.016893 Loss_D_fake 0.006285
[930/5000][195/535][95834] Loss_D: -0.022013 Loss_G: 0.003937 Loss_D_real: -0.025651 Loss_D_fake -0.003638
[930/5000][200/535][95835] Loss_D: -0.021039 Loss_G: 0.026436 Loss_D_real: -0.028824 Loss_D_fake -0.007785
[930/5000][205/535][95836] Loss_D: -0.021598 Loss_G: 0.008955 Loss_D_real: -0.018442 Loss_D_fake 0.003156
[930/5000][210/535][95837] Loss_D: -0.022345 Loss_G: 0.008005 Loss_D_real: -0.008646 Loss_D_fake 0.013699
[930/5000][215/535][95838] Loss_D: -0.021496 Loss_G: -0.011003 Loss_D_real: -0.010040 Loss_D_fake 0.011456
[930/5000][220/535][95839] Loss_D: -0.020881 Loss_G: -0.004458 Loss_D_real: -0.011967 Loss_D_fake 0.008914
[930/5000][225/535][95840] Loss_D: -0.021653 Loss_G: 0.019571 Loss_D_real: -0.033552 Loss_D_fake -0.011900
[930/5000][230/535][95841] Loss_D: -0.021249 Loss_G: -0.005018 Loss_D_real: -0.010861 Loss_D_fake 0.010388
[930/5000][235/535][95842] Loss_D: -0.021623 Loss_G: 0.000147 Loss_D_real: -0.016805 Loss_D_fake 0.004818
[930/5000][240/535][95843] Loss_D: -0.022089 Loss_G: 0.003678 Loss_D_real: -0.006042 Loss_D_fake 0.016047
[930/5000][245/535][95844] Loss_D: -0.022274 Loss_G: 0.003646 Loss_D_real: -0.026517 Loss_D_fake -0.004243
[930/5000][250/535][95845] Loss_D: -0.020822 Loss_G: 0.031637 Loss_D_real: -0.029760 Loss_D_fake -0.008938
[930/5000][255/535][95846] Loss_D: -0.022622 Loss_G: 0.001376 Loss_D_real: -0.014312 Loss_D_fake 0.008310
[930/5000][260/535][95847] Loss_D: -0.023400 Loss_G: 0.015271 Loss_D_real: -0.015258 Loss_D_fake 0.008142
[930/5000][265/535][95848] Loss_D: -0.023407 Loss_G: 0.010380 Loss_D_real: -0.012207 Loss_D_fake 0.011200
[930/5000][270/535][95849] Loss_D: -0.022966 Loss_G: 0.014821 Loss_D_real: -0.026801 Loss_D_fake -0.003835
[930/5000][275/535][95850] Loss_D: -0.022312 Loss_G: 0.020921 Loss_D_real: -0.015871 Loss_D_fake 0.006441
[930/5000][280/535][95851] Loss_D: -0.021806 Loss_G: 0.023563 Loss_D_real: -0.028867 Loss_D_fake -0.007061
[930/5000][285/535][95852] Loss_D: -0.023275 Loss_G: -0.001582 Loss_D_real: -0.008431 Loss_D_fake 0.014843
[930/5000][290/535][95853] Loss_D: -0.021716 Loss_G: 0.012107 Loss_D_real: -0.028191 Loss_D_fake -0.006475
[930/5000][295/535][95854] Loss_D: -0.023165 Loss_G: 0.001475 Loss_D_real: -0.020223 Loss_D_fake 0.002942
[930/5000][300/535][95855] Loss_D: -0.023026 Loss_G: 0.002264 Loss_D_real: -0.016491 Loss_D_fake 0.006535
[930/5000][305/535][95856] Loss_D: -0.023599 Loss_G: 0.005789 Loss_D_real: -0.021806 Loss_D_fake 0.001793
[930/5000][310/535][95857] Loss_D: -0.023597 Loss_G: 0.008382 Loss_D_real: -0.014885 Loss_D_fake 0.008712
[930/5000][315/535][95858] Loss_D: -0.021360 Loss_G: 0.008050 Loss_D_real: -0.028239 Loss_D_fake -0.006879
[930/5000][320/535][95859] Loss_D: -0.023503 Loss_G: -0.005226 Loss_D_real: -0.002412 Loss_D_fake 0.021092
[930/5000][325/535][95860] Loss_D: -0.021774 Loss_G: 0.011958 Loss_D_real: -0.022773 Loss_D_fake -0.000999
[930/5000][330/535][95861] Loss_D: -0.022594 Loss_G: 0.015766 Loss_D_real: -0.021883 Loss_D_fake 0.000711
[930/5000][335/535][95862] Loss_D: -0.022397 Loss_G: 0.004419 Loss_D_real: -0.023169 Loss_D_fake -0.000772
[930/5000][340/535][95863] Loss_D: -0.021103 Loss_G: 0.028145 Loss_D_real: -0.027387 Loss_D_fake -0.006285
[930/5000][345/535][95864] Loss_D: -0.022286 Loss_G: -0.001334 Loss_D_real: -0.021604 Loss_D_fake 0.000682
[930/5000][350/535][95865] Loss_D: -0.021496 Loss_G: -0.011612 Loss_D_real: -0.007889 Loss_D_fake 0.013607
[930/5000][355/535][95866] Loss_D: -0.022848 Loss_G: 0.016922 Loss_D_real: -0.032844 Loss_D_fake -0.009996
[930/5000][360/535][95867] Loss_D: -0.021822 Loss_G: 0.014694 Loss_D_real: -0.020102 Loss_D_fake 0.001720
[930/5000][365/535][95868] Loss_D: -0.023383 Loss_G: -0.004031 Loss_D_real: -0.010419 Loss_D_fake 0.012964
[930/5000][370/535][95869] Loss_D: -0.021282 Loss_G: 0.010821 Loss_D_real: -0.017537 Loss_D_fake 0.003745
[930/5000][375/535][95870] Loss_D: -0.022491 Loss_G: 0.003564 Loss_D_real: -0.020144 Loss_D_fake 0.002347
[930/5000][380/535][95871] Loss_D: -0.021898 Loss_G: 0.011670 Loss_D_real: -0.020627 Loss_D_fake 0.001271
[930/5000][385/535][95872] Loss_D: -0.023057 Loss_G: 0.008276 Loss_D_real: -0.017623 Loss_D_fake 0.005435
[930/5000][390/535][95873] Loss_D: -0.022631 Loss_G: -0.007818 Loss_D_real: -0.008038 Loss_D_fake 0.014593
[930/5000][395/535][95874] Loss_D: -0.021556 Loss_G: 0.007847 Loss_D_real: -0.016686 Loss_D_fake 0.004870
[930/5000][400/535][95875] Loss_D: -0.021828 Loss_G: 0.015420 Loss_D_real: -0.017852 Loss_D_fake 0.003976
[930/5000][405/535][95876] Loss_D: -0.022247 Loss_G: -0.010393 Loss_D_real: -0.008469 Loss_D_fake 0.013778
[930/5000][410/535][95877] Loss_D: -0.021852 Loss_G: 0.008279 Loss_D_real: -0.014640 Loss_D_fake 0.007211
[930/5000][415/535][95878] Loss_D: -0.023027 Loss_G: -0.005712 Loss_D_real: -0.010343 Loss_D_fake 0.012684
[930/5000][420/535][95879] Loss_D: -0.020086 Loss_G: 0.019320 Loss_D_real: -0.036457 Loss_D_fake -0.016371
[930/5000][425/535][95880] Loss_D: -0.022750 Loss_G: 0.005113 Loss_D_real: -0.017279 Loss_D_fake 0.005471
[930/5000][430/535][95881] Loss_D: -0.021484 Loss_G: 0.001460 Loss_D_real: 0.009413 Loss_D_fake 0.030897
[930/5000][435/535][95882] Loss_D: -0.023035 Loss_G: 0.016965 Loss_D_real: -0.010435 Loss_D_fake 0.012600
[930/5000][440/535][95883] Loss_D: -0.021983 Loss_G: 0.010271 Loss_D_real: -0.026521 Loss_D_fake -0.004538
[930/5000][445/535][95884] Loss_D: -0.023036 Loss_G: 0.013572 Loss_D_real: -0.019615 Loss_D_fake 0.003421
[930/5000][450/535][95885] Loss_D: -0.021715 Loss_G: 0.010944 Loss_D_real: -0.027422 Loss_D_fake -0.005707
[930/5000][455/535][95886] Loss_D: -0.021698 Loss_G: 0.018185 Loss_D_real: -0.019541 Loss_D_fake 0.002157
[930/5000][460/535][95887] Loss_D: -0.022645 Loss_G: 0.005381 Loss_D_real: -0.011769 Loss_D_fake 0.010875
[930/5000][465/535][95888] Loss_D: -0.021499 Loss_G: 0.013935 Loss_D_real: -0.029434 Loss_D_fake -0.007935
[930/5000][470/535][95889] Loss_D: -0.022459 Loss_G: 0.000803 Loss_D_real: -0.014320 Loss_D_fake 0.008139
[930/5000][475/535][95890] Loss_D: -0.022470 Loss_G: 0.005143 Loss_D_real: -0.017571 Loss_D_fake 0.004898
[930/5000][480/535][95891] Loss_D: -0.021953 Loss_G: 0.016803 Loss_D_real: -0.027003 Loss_D_fake -0.005050
[930/5000][485/535][95892] Loss_D: -0.021690 Loss_G: -0.014972 Loss_D_real: -0.021994 Loss_D_fake -0.000304
[930/5000][490/535][95893] Loss_D: -0.022198 Loss_G: 0.000280 Loss_D_real: -0.019702 Loss_D_fake 0.002497
[930/5000][495/535][95894] Loss_D: -0.022315 Loss_G: -0.000672 Loss_D_real: -0.008307 Loss_D_fake 0.014008
[930/5000][500/535][95895] Loss_D: -0.022066 Loss_G: -0.004395 Loss_D_real: -0.007307 Loss_D_fake 0.014759
[930/5000][505/535][95896] Loss_D: -0.021044 Loss_G: 0.017012 Loss_D_real: -0.018038 Loss_D_fake 0.003006
[930/5000][510/535][95897] Loss_D: -0.020940 Loss_G: 0.013490 Loss_D_real: -0.015067 Loss_D_fake 0.005873
[930/5000][515/535][95898] Loss_D: -0.022798 Loss_G: -0.002921 Loss_D_real: -0.018170 Loss_D_fake 0.004628
[930/5000][520/535][95899] Loss_D: -0.022651 Loss_G: 0.000417 Loss_D_real: -0.013438 Loss_D_fake 0.009213
[930/5000][525/535][95900] Loss_D: -0.021564 Loss_G: 0.012516 Loss_D_real: -0.016945 Loss_D_fake 0.004620
[930/5000][530/535][95901] Loss_D: -0.022360 Loss_G: 0.013192 Loss_D_real: -0.026827 Loss_D_fake -0.004467
[930/5000][535/535][95902] Loss_D: -0.023372 Loss_G: 0.020841 Loss_D_real: -0.008832 Loss_D_fake 0.014540
[931/5000][5/535][95903] Loss_D: -0.022507 Loss_G: -0.012708 Loss_D_real: -0.002766 Loss_D_fake 0.019742
[931/5000][10/535][95904] Loss_D: -0.022251 Loss_G: -0.000224 Loss_D_real: -0.011665 Loss_D_fake 0.010586
[931/5000][15/535][95905] Loss_D: -0.022260 Loss_G: 0.009325 Loss_D_real: -0.023560 Loss_D_fake -0.001299
[931/5000][20/535][95906] Loss_D: -0.022985 Loss_G: -0.004812 Loss_D_real: -0.011560 Loss_D_fake 0.011424
[931/5000][25/535][95907] Loss_D: -0.022242 Loss_G: 0.006550 Loss_D_real: -0.015002 Loss_D_fake 0.007240
[931/5000][30/535][95908] Loss_D: -0.022272 Loss_G: 0.015947 Loss_D_real: -0.035574 Loss_D_fake -0.013301
[931/5000][35/535][95909] Loss_D: -0.021882 Loss_G: 0.021511 Loss_D_real: -0.029916 Loss_D_fake -0.008033
[931/5000][40/535][95910] Loss_D: -0.022010 Loss_G: -0.000021 Loss_D_real: -0.016623 Loss_D_fake 0.005387
[931/5000][45/535][95911] Loss_D: -0.022065 Loss_G: 0.006510 Loss_D_real: -0.015793 Loss_D_fake 0.006272
[931/5000][50/535][95912] Loss_D: -0.022752 Loss_G: 0.019297 Loss_D_real: -0.020323 Loss_D_fake 0.002428
[931/5000][55/535][95913] Loss_D: -0.022155 Loss_G: -0.004670 Loss_D_real: -0.013414 Loss_D_fake 0.008741
[931/5000][60/535][95914] Loss_D: -0.021706 Loss_G: 0.015592 Loss_D_real: -0.028110 Loss_D_fake -0.006404
[931/5000][65/535][95915] Loss_D: -0.023061 Loss_G: 0.005986 Loss_D_real: -0.026235 Loss_D_fake -0.003173
[931/5000][70/535][95916] Loss_D: -0.023773 Loss_G: 0.004190 Loss_D_real: -0.013210 Loss_D_fake 0.010563
[931/5000][75/535][95917] Loss_D: -0.021681 Loss_G: -0.001438 Loss_D_real: -0.006282 Loss_D_fake 0.015400
[931/5000][80/535][95918] Loss_D: -0.022009 Loss_G: 0.000716 Loss_D_real: -0.007127 Loss_D_fake 0.014882
[931/5000][85/535][95919] Loss_D: -0.021130 Loss_G: 0.014349 Loss_D_real: -0.020292 Loss_D_fake 0.000838
[931/5000][90/535][95920] Loss_D: -0.020086 Loss_G: 0.022690 Loss_D_real: -0.035883 Loss_D_fake -0.015797
[931/5000][95/535][95921] Loss_D: -0.023290 Loss_G: 0.003762 Loss_D_real: -0.016517 Loss_D_fake 0.006774
[931/5000][100/535][95922] Loss_D: -0.021162 Loss_G: 0.001554 Loss_D_real: -0.002371 Loss_D_fake 0.018791
[931/5000][105/535][95923] Loss_D: -0.021902 Loss_G: 0.009866 Loss_D_real: -0.022956 Loss_D_fake -0.001054
[931/5000][110/535][95924] Loss_D: -0.022377 Loss_G: 0.010886 Loss_D_real: -0.020354 Loss_D_fake 0.002023
[931/5000][115/535][95925] Loss_D: -0.020070 Loss_G: 0.029439 Loss_D_real: -0.032591 Loss_D_fake -0.012521
[931/5000][120/535][95926] Loss_D: -0.022153 Loss_G: 0.000291 Loss_D_real: -0.007403 Loss_D_fake 0.014750
[931/5000][125/535][95927] Loss_D: -0.023417 Loss_G: 0.002826 Loss_D_real: -0.022129 Loss_D_fake 0.001288
[931/5000][130/535][95928] Loss_D: -0.022152 Loss_G: -0.007528 Loss_D_real: -0.003672 Loss_D_fake 0.018480
[931/5000][135/535][95929] Loss_D: -0.022424 Loss_G: 0.001539 Loss_D_real: -0.016868 Loss_D_fake 0.005556
[931/5000][140/535][95930] Loss_D: -0.021590 Loss_G: 0.006605 Loss_D_real: -0.014217 Loss_D_fake 0.007374
[931/5000][145/535][95931] Loss_D: -0.022676 Loss_G: 0.002714 Loss_D_real: -0.019725 Loss_D_fake 0.002950
[931/5000][150/535][95932] Loss_D: -0.022589 Loss_G: -0.005215 Loss_D_real: -0.016065 Loss_D_fake 0.006524
[931/5000][155/535][95933] Loss_D: -0.020816 Loss_G: 0.036341 Loss_D_real: -0.036328 Loss_D_fake -0.015512
[931/5000][160/535][95934] Loss_D: -0.021882 Loss_G: -0.010280 Loss_D_real: -0.018283 Loss_D_fake 0.003599
[931/5000][165/535][95935] Loss_D: -0.022056 Loss_G: 0.020728 Loss_D_real: -0.023413 Loss_D_fake -0.001357
[931/5000][170/535][95936] Loss_D: -0.023315 Loss_G: 0.014298 Loss_D_real: -0.022922 Loss_D_fake 0.000393
[931/5000][175/535][95937] Loss_D: -0.022738 Loss_G: 0.005222 Loss_D_real: -0.008919 Loss_D_fake 0.013819
[931/5000][180/535][95938] Loss_D: -0.021789 Loss_G: 0.015926 Loss_D_real: -0.024136 Loss_D_fake -0.002348
[931/5000][185/535][95939] Loss_D: -0.022070 Loss_G: 0.002531 Loss_D_real: -0.014045 Loss_D_fake 0.008025
[931/5000][190/535][95940] Loss_D: -0.022045 Loss_G: 0.015040 Loss_D_real: -0.013426 Loss_D_fake 0.008619
[931/5000][195/535][95941] Loss_D: -0.024226 Loss_G: 0.005142 Loss_D_real: -0.005815 Loss_D_fake 0.018411
[931/5000][200/535][95942] Loss_D: -0.021392 Loss_G: 0.000854 Loss_D_real: -0.010988 Loss_D_fake 0.010404
[931/5000][205/535][95943] Loss_D: -0.022967 Loss_G: 0.002227 Loss_D_real: -0.004895 Loss_D_fake 0.018072
[931/5000][210/535][95944] Loss_D: -0.022567 Loss_G: 0.024011 Loss_D_real: -0.029671 Loss_D_fake -0.007104
[931/5000][215/535][95945] Loss_D: -0.024415 Loss_G: 0.007265 Loss_D_real: -0.031472 Loss_D_fake -0.007057
[931/5000][220/535][95946] Loss_D: -0.022706 Loss_G: 0.012295 Loss_D_real: -0.013645 Loss_D_fake 0.009061
[931/5000][225/535][95947] Loss_D: -0.022738 Loss_G: 0.007859 Loss_D_real: -0.021649 Loss_D_fake 0.001089
[931/5000][230/535][95948] Loss_D: -0.021662 Loss_G: -0.018530 Loss_D_real: 0.001704 Loss_D_fake 0.023365
[931/5000][235/535][95949] Loss_D: -0.022506 Loss_G: 0.001427 Loss_D_real: -0.001792 Loss_D_fake 0.020714
[931/5000][240/535][95950] Loss_D: -0.023167 Loss_G: 0.006951 Loss_D_real: -0.024164 Loss_D_fake -0.000996
[931/5000][245/535][95951] Loss_D: -0.023742 Loss_G: 0.002488 Loss_D_real: -0.030241 Loss_D_fake -0.006499
[931/5000][250/535][95952] Loss_D: -0.022780 Loss_G: 0.003970 Loss_D_real: -0.011544 Loss_D_fake 0.011237
[931/5000][255/535][95953] Loss_D: -0.020770 Loss_G: 0.016310 Loss_D_real: -0.027512 Loss_D_fake -0.006742
[931/5000][260/535][95954] Loss_D: -0.023127 Loss_G: 0.011326 Loss_D_real: -0.008852 Loss_D_fake 0.014275
[931/5000][265/535][95955] Loss_D: -0.023067 Loss_G: 0.004917 Loss_D_real: -0.017713 Loss_D_fake 0.005354
[931/5000][270/535][95956] Loss_D: -0.021792 Loss_G: -0.006110 Loss_D_real: -0.007651 Loss_D_fake 0.014141
[931/5000][275/535][95957] Loss_D: -0.022529 Loss_G: 0.010219 Loss_D_real: -0.023691 Loss_D_fake -0.001162
[931/5000][280/535][95958] Loss_D: -0.021233 Loss_G: 0.011993 Loss_D_real: -0.024854 Loss_D_fake -0.003621
[931/5000][285/535][95959] Loss_D: -0.023321 Loss_G: 0.022046 Loss_D_real: -0.027060 Loss_D_fake -0.003739
[931/5000][290/535][95960] Loss_D: -0.021954 Loss_G: 0.000458 Loss_D_real: -0.021293 Loss_D_fake 0.000660
[931/5000][295/535][95961] Loss_D: -0.021524 Loss_G: -0.003417 Loss_D_real: -0.002720 Loss_D_fake 0.018803
[931/5000][300/535][95962] Loss_D: -0.022166 Loss_G: -0.002082 Loss_D_real: -0.011009 Loss_D_fake 0.011157
[931/5000][305/535][95963] Loss_D: -0.022274 Loss_G: 0.011654 Loss_D_real: -0.023461 Loss_D_fake -0.001188
[931/5000][310/535][95964] Loss_D: -0.020810 Loss_G: -0.000383 Loss_D_real: -0.015274 Loss_D_fake 0.005535
[931/5000][315/535][95965] Loss_D: -0.022015 Loss_G: 0.013093 Loss_D_real: -0.028128 Loss_D_fake -0.006113
[931/5000][320/535][95966] Loss_D: -0.022249 Loss_G: 0.011719 Loss_D_real: -0.023936 Loss_D_fake -0.001687
[931/5000][325/535][95967] Loss_D: -0.021984 Loss_G: 0.006472 Loss_D_real: -0.018951 Loss_D_fake 0.003034
[931/5000][330/535][95968] Loss_D: -0.022591 Loss_G: -0.005378 Loss_D_real: -0.010118 Loss_D_fake 0.012474
[931/5000][335/535][95969] Loss_D: -0.021005 Loss_G: 0.010201 Loss_D_real: -0.004376 Loss_D_fake 0.016628
[931/5000][340/535][95970] Loss_D: -0.022729 Loss_G: 0.010737 Loss_D_real: -0.022630 Loss_D_fake 0.000099
[931/5000][345/535][95971] Loss_D: -0.021927 Loss_G: 0.007384 Loss_D_real: -0.009552 Loss_D_fake 0.012375
[931/5000][350/535][95972] Loss_D: -0.022151 Loss_G: -0.004899 Loss_D_real: -0.015218 Loss_D_fake 0.006933
[931/5000][355/535][95973] Loss_D: -0.022422 Loss_G: 0.024715 Loss_D_real: -0.028399 Loss_D_fake -0.005977
[931/5000][360/535][95974] Loss_D: -0.023240 Loss_G: -0.000901 Loss_D_real: -0.016126 Loss_D_fake 0.007115
[931/5000][365/535][95975] Loss_D: -0.023524 Loss_G: 0.015680 Loss_D_real: -0.012360 Loss_D_fake 0.011164
[931/5000][370/535][95976] Loss_D: -0.021986 Loss_G: 0.005865 Loss_D_real: -0.020880 Loss_D_fake 0.001106
[931/5000][375/535][95977] Loss_D: -0.022972 Loss_G: 0.009862 Loss_D_real: -0.019924 Loss_D_fake 0.003048
[931/5000][380/535][95978] Loss_D: -0.022193 Loss_G: 0.014916 Loss_D_real: -0.024744 Loss_D_fake -0.002551
[931/5000][385/535][95979] Loss_D: -0.022570 Loss_G: 0.000899 Loss_D_real: -0.010426 Loss_D_fake 0.012145
[931/5000][390/535][95980] Loss_D: -0.021553 Loss_G: 0.007896 Loss_D_real: -0.020298 Loss_D_fake 0.001255
[931/5000][395/535][95981] Loss_D: -0.022766 Loss_G: 0.006999 Loss_D_real: -0.025781 Loss_D_fake -0.003015
[931/5000][400/535][95982] Loss_D: -0.022495 Loss_G: 0.019218 Loss_D_real: -0.024900 Loss_D_fake -0.002405
[931/5000][405/535][95983] Loss_D: -0.021940 Loss_G: 0.002193 Loss_D_real: -0.024731 Loss_D_fake -0.002792
[931/5000][410/535][95984] Loss_D: -0.021178 Loss_G: -0.009843 Loss_D_real: -0.004296 Loss_D_fake 0.016882
[931/5000][415/535][95985] Loss_D: -0.022554 Loss_G: 0.024400 Loss_D_real: -0.026254 Loss_D_fake -0.003700
[931/5000][420/535][95986] Loss_D: -0.022119 Loss_G: -0.000354 Loss_D_real: -0.021670 Loss_D_fake 0.000449
[931/5000][425/535][95987] Loss_D: -0.020767 Loss_G: 0.023892 Loss_D_real: -0.020100 Loss_D_fake 0.000667
[931/5000][430/535][95988] Loss_D: -0.022570 Loss_G: -0.004767 Loss_D_real: -0.008033 Loss_D_fake 0.014536
[931/5000][435/535][95989] Loss_D: -0.022057 Loss_G: 0.015468 Loss_D_real: -0.022121 Loss_D_fake -0.000064
[931/5000][440/535][95990] Loss_D: -0.021787 Loss_G: 0.027144 Loss_D_real: -0.030597 Loss_D_fake -0.008810
[931/5000][445/535][95991] Loss_D: -0.022351 Loss_G: 0.027933 Loss_D_real: -0.023410 Loss_D_fake -0.001060
[931/5000][450/535][95992] Loss_D: -0.022646 Loss_G: 0.015035 Loss_D_real: -0.004315 Loss_D_fake 0.018331
[931/5000][455/535][95993] Loss_D: -0.022634 Loss_G: 0.008650 Loss_D_real: -0.015661 Loss_D_fake 0.006974
[931/5000][460/535][95994] Loss_D: -0.021536 Loss_G: -0.017476 Loss_D_real: 0.004007 Loss_D_fake 0.025543
[931/5000][465/535][95995] Loss_D: -0.021566 Loss_G: 0.004677 Loss_D_real: -0.024288 Loss_D_fake -0.002721
[931/5000][470/535][95996] Loss_D: -0.022213 Loss_G: 0.011832 Loss_D_real: -0.022573 Loss_D_fake -0.000360
[931/5000][475/535][95997] Loss_D: -0.023621 Loss_G: 0.011388 Loss_D_real: -0.021222 Loss_D_fake 0.002399
[931/5000][480/535][95998] Loss_D: -0.023363 Loss_G: 0.002044 Loss_D_real: -0.014204 Loss_D_fake 0.009160
[931/5000][485/535][95999] Loss_D: -0.023044 Loss_G: -0.012121 Loss_D_real: -0.001078 Loss_D_fake 0.021966
[931/5000][490/535][96000] Loss_D: -0.022254 Loss_G: 0.015546 Loss_D_real: -0.036338 Loss_D_fake -0.014084
[931/5000][535/535][96001] Loss_D: -0.025738 Loss_G: 0.011153 Loss_D_real: -0.007885 Loss_D_fake 0.017853
[932/5000][5/535][96002] Loss_D: -0.023159 Loss_G: -0.006008 Loss_D_real: -0.015024 Loss_D_fake 0.008135
[932/5000][10/535][96003] Loss_D: -0.020648 Loss_G: 0.008824 Loss_D_real: -0.021080 Loss_D_fake -0.000433
[932/5000][15/535][96004] Loss_D: -0.022825 Loss_G: 0.000745 Loss_D_real: -0.008752 Loss_D_fake 0.014074
[932/5000][20/535][96005] Loss_D: -0.020372 Loss_G: 0.028299 Loss_D_real: -0.028718 Loss_D_fake -0.008346
[932/5000][25/535][96006] Loss_D: -0.022769 Loss_G: -0.001550 Loss_D_real: -0.023004 Loss_D_fake -0.000235
[932/5000][30/535][96007] Loss_D: -0.022090 Loss_G: 0.006582 Loss_D_real: -0.014423 Loss_D_fake 0.007667
[932/5000][35/535][96008] Loss_D: -0.021011 Loss_G: -0.015609 Loss_D_real: -0.008660 Loss_D_fake 0.012351
[932/5000][40/535][96009] Loss_D: -0.020695 Loss_G: 0.010768 Loss_D_real: -0.016238 Loss_D_fake 0.004457
[932/5000][45/535][96010] Loss_D: -0.021377 Loss_G: 0.020893 Loss_D_real: -0.026215 Loss_D_fake -0.004838
[932/5000][50/535][96011] Loss_D: -0.021483 Loss_G: 0.009850 Loss_D_real: -0.022265 Loss_D_fake -0.000783
[932/5000][55/535][96012] Loss_D: -0.022377 Loss_G: 0.001692 Loss_D_real: -0.014527 Loss_D_fake 0.007849
[932/5000][60/535][96013] Loss_D: -0.021493 Loss_G: 0.010965 Loss_D_real: -0.029471 Loss_D_fake -0.007978
[932/5000][65/535][96014] Loss_D: -0.022469 Loss_G: 0.006741 Loss_D_real: -0.018316 Loss_D_fake 0.004153
[932/5000][70/535][96015] Loss_D: -0.023674 Loss_G: 0.005304 Loss_D_real: -0.010741 Loss_D_fake 0.012933
[932/5000][75/535][96016] Loss_D: -0.023236 Loss_G: -0.002704 Loss_D_real: -0.015894 Loss_D_fake 0.007342
[932/5000][80/535][96017] Loss_D: -0.022505 Loss_G: -0.003828 Loss_D_real: -0.002441 Loss_D_fake 0.020064
[932/5000][85/535][96018] Loss_D: -0.022644 Loss_G: 0.013446 Loss_D_real: -0.015307 Loss_D_fake 0.007338
[932/5000][90/535][96019] Loss_D: -0.022976 Loss_G: 0.016310 Loss_D_real: -0.022812 Loss_D_fake 0.000164
[932/5000][95/535][96020] Loss_D: -0.022819 Loss_G: 0.004572 Loss_D_real: -0.007173 Loss_D_fake 0.015646
[932/5000][100/535][96021] Loss_D: -0.020946 Loss_G: 0.001645 Loss_D_real: -0.017717 Loss_D_fake 0.003228
[932/5000][105/535][96022] Loss_D: -0.022410 Loss_G: 0.020542 Loss_D_real: -0.038951 Loss_D_fake -0.016541
[932/5000][110/535][96023] Loss_D: -0.021630 Loss_G: -0.002741 Loss_D_real: -0.010831 Loss_D_fake 0.010799
[932/5000][115/535][96024] Loss_D: -0.021737 Loss_G: -0.009708 Loss_D_real: -0.001087 Loss_D_fake 0.020651
[932/5000][120/535][96025] Loss_D: -0.021892 Loss_G: 0.005319 Loss_D_real: -0.021017 Loss_D_fake 0.000875
[932/5000][125/535][96026] Loss_D: -0.023284 Loss_G: -0.012101 Loss_D_real: -0.015279 Loss_D_fake 0.008005
[932/5000][130/535][96027] Loss_D: -0.022585 Loss_G: 0.024382 Loss_D_real: -0.023756 Loss_D_fake -0.001172
[932/5000][135/535][96028] Loss_D: -0.023103 Loss_G: 0.001193 Loss_D_real: -0.019579 Loss_D_fake 0.003524
[932/5000][140/535][96029] Loss_D: -0.021851 Loss_G: -0.001717 Loss_D_real: -0.020367 Loss_D_fake 0.001483
[932/5000][145/535][96030] Loss_D: -0.023812 Loss_G: 0.017626 Loss_D_real: -0.017868 Loss_D_fake 0.005943
[932/5000][150/535][96031] Loss_D: -0.022871 Loss_G: 0.024765 Loss_D_real: -0.026229 Loss_D_fake -0.003358
[932/5000][155/535][96032] Loss_D: -0.023780 Loss_G: 0.006434 Loss_D_real: -0.015014 Loss_D_fake 0.008766
[932/5000][160/535][96033] Loss_D: -0.021990 Loss_G: 0.011388 Loss_D_real: -0.025950 Loss_D_fake -0.003960
[932/5000][165/535][96034] Loss_D: -0.022520 Loss_G: 0.014429 Loss_D_real: -0.017640 Loss_D_fake 0.004880
[932/5000][170/535][96035] Loss_D: -0.022545 Loss_G: 0.002454 Loss_D_real: -0.024213 Loss_D_fake -0.001667
[932/5000][175/535][96036] Loss_D: -0.022984 Loss_G: 0.014218 Loss_D_real: -0.021409 Loss_D_fake 0.001574
[932/5000][180/535][96037] Loss_D: -0.021803 Loss_G: -0.002168 Loss_D_real: -0.007604 Loss_D_fake 0.014199
[932/5000][185/535][96038] Loss_D: -0.022905 Loss_G: 0.008447 Loss_D_real: -0.029738 Loss_D_fake -0.006832
[932/5000][190/535][96039] Loss_D: -0.023316 Loss_G: 0.028324 Loss_D_real: -0.032604 Loss_D_fake -0.009288
[932/5000][195/535][96040] Loss_D: -0.021108 Loss_G: -0.009260 Loss_D_real: -0.010061 Loss_D_fake 0.011047
[932/5000][200/535][96041] Loss_D: -0.022031 Loss_G: 0.009810 Loss_D_real: -0.023631 Loss_D_fake -0.001600
[932/5000][205/535][96042] Loss_D: -0.022503 Loss_G: -0.011295 Loss_D_real: -0.010344 Loss_D_fake 0.012159
[932/5000][210/535][96043] Loss_D: -0.022619 Loss_G: 0.019889 Loss_D_real: -0.030291 Loss_D_fake -0.007671
[932/5000][215/535][96044] Loss_D: -0.021120 Loss_G: -0.002636 Loss_D_real: -0.022217 Loss_D_fake -0.001097
[932/5000][220/535][96045] Loss_D: -0.021511 Loss_G: 0.000811 Loss_D_real: -0.013646 Loss_D_fake 0.007865
[932/5000][225/535][96046] Loss_D: -0.022838 Loss_G: 0.000295 Loss_D_real: -0.010661 Loss_D_fake 0.012177
[932/5000][230/535][96047] Loss_D: -0.021468 Loss_G: -0.001787 Loss_D_real: -0.003010 Loss_D_fake 0.018458
[932/5000][235/535][96048] Loss_D: -0.020861 Loss_G: 0.019309 Loss_D_real: -0.030278 Loss_D_fake -0.009417
[932/5000][240/535][96049] Loss_D: -0.022753 Loss_G: 0.012876 Loss_D_real: -0.013904 Loss_D_fake 0.008850
[932/5000][245/535][96050] Loss_D: -0.020979 Loss_G: -0.011977 Loss_D_real: -0.001046 Loss_D_fake 0.019932
[932/5000][250/535][96051] Loss_D: -0.021469 Loss_G: 0.015355 Loss_D_real: -0.016033 Loss_D_fake 0.005436
[932/5000][255/535][96052] Loss_D: -0.021593 Loss_G: 0.006492 Loss_D_real: -0.019264 Loss_D_fake 0.002329
[932/5000][260/535][96053] Loss_D: -0.022651 Loss_G: -0.005511 Loss_D_real: -0.000741 Loss_D_fake 0.021910
[932/5000][265/535][96054] Loss_D: -0.021577 Loss_G: 0.005888 Loss_D_real: -0.016798 Loss_D_fake 0.004779
[932/5000][270/535][96055] Loss_D: -0.021954 Loss_G: 0.005935 Loss_D_real: -0.014561 Loss_D_fake 0.007393
[932/5000][275/535][96056] Loss_D: -0.023192 Loss_G: -0.009339 Loss_D_real: -0.011314 Loss_D_fake 0.011878
[932/5000][280/535][96057] Loss_D: -0.021534 Loss_G: 0.020416 Loss_D_real: -0.023921 Loss_D_fake -0.002388
[932/5000][285/535][96058] Loss_D: -0.020089 Loss_G: 0.021716 Loss_D_real: -0.026102 Loss_D_fake -0.006013
[932/5000][290/535][96059] Loss_D: -0.022079 Loss_G: 0.007947 Loss_D_real: -0.016646 Loss_D_fake 0.005433
[932/5000][295/535][96060] Loss_D: -0.022332 Loss_G: -0.004206 Loss_D_real: -0.008853 Loss_D_fake 0.013478
[932/5000][300/535][96061] Loss_D: -0.021590 Loss_G: 0.001148 Loss_D_real: -0.010625 Loss_D_fake 0.010966
[932/5000][305/535][96062] Loss_D: -0.022186 Loss_G: 0.020307 Loss_D_real: -0.033295 Loss_D_fake -0.011109
[932/5000][310/535][96063] Loss_D: -0.022307 Loss_G: 0.019509 Loss_D_real: -0.006700 Loss_D_fake 0.015607
[932/5000][315/535][96064] Loss_D: -0.021742 Loss_G: -0.006837 Loss_D_real: -0.008437 Loss_D_fake 0.013305
[932/5000][320/535][96065] Loss_D: -0.019041 Loss_G: 0.022290 Loss_D_real: -0.031550 Loss_D_fake -0.012509
[932/5000][325/535][96066] Loss_D: -0.020846 Loss_G: 0.028280 Loss_D_real: -0.031903 Loss_D_fake -0.011057
[932/5000][330/535][96067] Loss_D: -0.022060 Loss_G: -0.011715 Loss_D_real: -0.012362 Loss_D_fake 0.009698
[932/5000][335/535][96068] Loss_D: -0.021238 Loss_G: 0.018920 Loss_D_real: -0.018136 Loss_D_fake 0.003103
[932/5000][340/535][96069] Loss_D: -0.021638 Loss_G: 0.006090 Loss_D_real: -0.021747 Loss_D_fake -0.000109
[932/5000][345/535][96070] Loss_D: -0.021574 Loss_G: 0.017982 Loss_D_real: -0.019392 Loss_D_fake 0.002182
[932/5000][350/535][96071] Loss_D: -0.020378 Loss_G: -0.005550 Loss_D_real: 0.001433 Loss_D_fake 0.021811
[932/5000][355/535][96072] Loss_D: -0.022745 Loss_G: 0.002908 Loss_D_real: -0.016723 Loss_D_fake 0.006022
[932/5000][360/535][96073] Loss_D: -0.022016 Loss_G: 0.001043 Loss_D_real: -0.010877 Loss_D_fake 0.011138
[932/5000][365/535][96074] Loss_D: -0.022181 Loss_G: 0.013455 Loss_D_real: -0.030387 Loss_D_fake -0.008206
[932/5000][370/535][96075] Loss_D: -0.022172 Loss_G: 0.023488 Loss_D_real: -0.032094 Loss_D_fake -0.009923
[932/5000][375/535][96076] Loss_D: -0.021876 Loss_G: 0.009747 Loss_D_real: -0.023043 Loss_D_fake -0.001167
[932/5000][380/535][96077] Loss_D: -0.023230 Loss_G: 0.002174 Loss_D_real: -0.013374 Loss_D_fake 0.009856
[932/5000][385/535][96078] Loss_D: -0.023072 Loss_G: 0.011120 Loss_D_real: -0.023289 Loss_D_fake -0.000217
[932/5000][390/535][96079] Loss_D: -0.022431 Loss_G: 0.014593 Loss_D_real: -0.014521 Loss_D_fake 0.007910
[932/5000][395/535][96080] Loss_D: -0.022437 Loss_G: 0.007306 Loss_D_real: -0.017953 Loss_D_fake 0.004484
[932/5000][400/535][96081] Loss_D: -0.023095 Loss_G: -0.006635 Loss_D_real: -0.015579 Loss_D_fake 0.007515
[932/5000][405/535][96082] Loss_D: -0.022299 Loss_G: 0.011227 Loss_D_real: -0.015966 Loss_D_fake 0.006333
[932/5000][410/535][96083] Loss_D: -0.022433 Loss_G: 0.025221 Loss_D_real: -0.020500 Loss_D_fake 0.001933
[932/5000][415/535][96084] Loss_D: -0.022337 Loss_G: -0.010647 Loss_D_real: -0.006542 Loss_D_fake 0.015795
[932/5000][420/535][96085] Loss_D: -0.023205 Loss_G: 0.022540 Loss_D_real: -0.024066 Loss_D_fake -0.000860
[932/5000][425/535][96086] Loss_D: -0.022600 Loss_G: 0.000218 Loss_D_real: -0.016660 Loss_D_fake 0.005940
[932/5000][430/535][96087] Loss_D: -0.021937 Loss_G: -0.005907 Loss_D_real: -0.004538 Loss_D_fake 0.017399
[932/5000][435/535][96088] Loss_D: -0.022712 Loss_G: 0.001105 Loss_D_real: -0.016212 Loss_D_fake 0.006500
[932/5000][440/535][96089] Loss_D: -0.022842 Loss_G: 0.017568 Loss_D_real: -0.021550 Loss_D_fake 0.001292
[932/5000][445/535][96090] Loss_D: -0.023037 Loss_G: -0.002885 Loss_D_real: -0.005823 Loss_D_fake 0.017214
[932/5000][450/535][96091] Loss_D: -0.021399 Loss_G: -0.014760 Loss_D_real: -0.000352 Loss_D_fake 0.021047
[932/5000][455/535][96092] Loss_D: -0.022171 Loss_G: 0.013903 Loss_D_real: -0.023970 Loss_D_fake -0.001799
[932/5000][460/535][96093] Loss_D: -0.022079 Loss_G: 0.014027 Loss_D_real: -0.023436 Loss_D_fake -0.001357
[932/5000][465/535][96094] Loss_D: -0.021502 Loss_G: -0.002187 Loss_D_real: -0.008322 Loss_D_fake 0.013179
[932/5000][470/535][96095] Loss_D: -0.021713 Loss_G: 0.017355 Loss_D_real: -0.026366 Loss_D_fake -0.004653
[932/5000][475/535][96096] Loss_D: -0.023012 Loss_G: 0.019910 Loss_D_real: -0.035105 Loss_D_fake -0.012093
[932/5000][480/535][96097] Loss_D: -0.022011 Loss_G: -0.001132 Loss_D_real: -0.017278 Loss_D_fake 0.004732
[932/5000][485/535][96098] Loss_D: -0.021266 Loss_G: 0.000534 Loss_D_real: -0.016531 Loss_D_fake 0.004736
[932/5000][490/535][96099] Loss_D: -0.022606 Loss_G: 0.010966 Loss_D_real: -0.017684 Loss_D_fake 0.004922
[932/5000][495/535][96100] Loss_D: -0.022504 Loss_G: -0.005851 Loss_D_real: -0.001450 Loss_D_fake 0.021054
[932/5000][500/535][96101] Loss_D: -0.022704 Loss_G: 0.010679 Loss_D_real: -0.018491 Loss_D_fake 0.004213
[932/5000][505/535][96102] Loss_D: -0.022979 Loss_G: 0.014358 Loss_D_real: -0.025282 Loss_D_fake -0.002304
[932/5000][510/535][96103] Loss_D: -0.021487 Loss_G: 0.027546 Loss_D_real: -0.034574 Loss_D_fake -0.013086
[932/5000][515/535][96104] Loss_D: -0.022653 Loss_G: -0.001331 Loss_D_real: -0.017204 Loss_D_fake 0.005448
[932/5000][520/535][96105] Loss_D: -0.022662 Loss_G: 0.015007 Loss_D_real: -0.017363 Loss_D_fake 0.005298
[932/5000][525/535][96106] Loss_D: -0.023744 Loss_G: 0.014891 Loss_D_real: -0.012853 Loss_D_fake 0.010892
[932/5000][530/535][96107] Loss_D: -0.023318 Loss_G: 0.012078 Loss_D_real: -0.022861 Loss_D_fake 0.000457
[932/5000][535/535][96108] Loss_D: -0.021377 Loss_G: 0.008461 Loss_D_real: -0.004047 Loss_D_fake 0.017330
[933/5000][5/535][96109] Loss_D: -0.021600 Loss_G: -0.004229 Loss_D_real: -0.020696 Loss_D_fake 0.000903
[933/5000][10/535][96110] Loss_D: -0.021681 Loss_G: 0.000817 Loss_D_real: -0.011369 Loss_D_fake 0.010311
[933/5000][15/535][96111] Loss_D: -0.022786 Loss_G: 0.004440 Loss_D_real: -0.016317 Loss_D_fake 0.006469
[933/5000][20/535][96112] Loss_D: -0.022008 Loss_G: -0.005013 Loss_D_real: -0.003026 Loss_D_fake 0.018983
[933/5000][25/535][96113] Loss_D: -0.021023 Loss_G: 0.016156 Loss_D_real: -0.031729 Loss_D_fake -0.010705
[933/5000][30/535][96114] Loss_D: -0.020990 Loss_G: 0.017109 Loss_D_real: -0.030977 Loss_D_fake -0.009987
[933/5000][35/535][96115] Loss_D: -0.022240 Loss_G: 0.002604 Loss_D_real: -0.016641 Loss_D_fake 0.005599
[933/5000][40/535][96116] Loss_D: -0.024115 Loss_G: 0.022907 Loss_D_real: -0.011799 Loss_D_fake 0.012316
[933/5000][45/535][96117] Loss_D: -0.020688 Loss_G: 0.015847 Loss_D_real: -0.020392 Loss_D_fake 0.000296
[933/5000][50/535][96118] Loss_D: -0.021861 Loss_G: -0.010414 Loss_D_real: 0.000597 Loss_D_fake 0.022458
[933/5000][55/535][96119] Loss_D: -0.021841 Loss_G: -0.010077 Loss_D_real: -0.013158 Loss_D_fake 0.008682
[933/5000][60/535][96120] Loss_D: -0.022008 Loss_G: -0.007884 Loss_D_real: -0.010303 Loss_D_fake 0.011705
[933/5000][65/535][96121] Loss_D: -0.022967 Loss_G: 0.011416 Loss_D_real: -0.018506 Loss_D_fake 0.004461
[933/5000][70/535][96122] Loss_D: -0.021492 Loss_G: -0.015854 Loss_D_real: -0.011342 Loss_D_fake 0.010150
[933/5000][75/535][96123] Loss_D: -0.022009 Loss_G: 0.013620 Loss_D_real: -0.027518 Loss_D_fake -0.005510
[933/5000][80/535][96124] Loss_D: -0.021765 Loss_G: 0.011169 Loss_D_real: -0.013202 Loss_D_fake 0.008563
[933/5000][85/535][96125] Loss_D: -0.022184 Loss_G: 0.007627 Loss_D_real: -0.015062 Loss_D_fake 0.007122
[933/5000][90/535][96126] Loss_D: -0.022697 Loss_G: 0.017477 Loss_D_real: -0.017503 Loss_D_fake 0.005193
[933/5000][95/535][96127] Loss_D: -0.022873 Loss_G: 0.000240 Loss_D_real: -0.019082 Loss_D_fake 0.003791
[933/5000][100/535][96128] Loss_D: -0.021997 Loss_G: 0.010429 Loss_D_real: -0.020138 Loss_D_fake 0.001858
[933/5000][105/535][96129] Loss_D: -0.023555 Loss_G: -0.006573 Loss_D_real: -0.018578 Loss_D_fake 0.004977
[933/5000][110/535][96130] Loss_D: -0.023504 Loss_G: 0.024463 Loss_D_real: -0.017020 Loss_D_fake 0.006484
[933/5000][115/535][96131] Loss_D: -0.023336 Loss_G: 0.002223 Loss_D_real: -0.011821 Loss_D_fake 0.011515
[933/5000][120/535][96132] Loss_D: -0.024741 Loss_G: -0.003055 Loss_D_real: -0.009383 Loss_D_fake 0.015358
[933/5000][125/535][96133] Loss_D: -0.023684 Loss_G: 0.026984 Loss_D_real: -0.032201 Loss_D_fake -0.008517
[933/5000][130/535][96134] Loss_D: -0.023311 Loss_G: 0.006348 Loss_D_real: -0.017234 Loss_D_fake 0.006077
[933/5000][135/535][96135] Loss_D: -0.023333 Loss_G: 0.013472 Loss_D_real: -0.030334 Loss_D_fake -0.007001
[933/5000][140/535][96136] Loss_D: -0.022622 Loss_G: 0.005271 Loss_D_real: -0.028535 Loss_D_fake -0.005912
[933/5000][145/535][96137] Loss_D: -0.021972 Loss_G: 0.009138 Loss_D_real: -0.028954 Loss_D_fake -0.006982
[933/5000][150/535][96138] Loss_D: -0.022649 Loss_G: 0.018126 Loss_D_real: -0.026780 Loss_D_fake -0.004131
[933/5000][155/535][96139] Loss_D: -0.023350 Loss_G: 0.005063 Loss_D_real: -0.014250 Loss_D_fake 0.009101
[933/5000][160/535][96140] Loss_D: -0.021726 Loss_G: 0.013153 Loss_D_real: -0.029890 Loss_D_fake -0.008164
[933/5000][165/535][96141] Loss_D: -0.023161 Loss_G: -0.010417 Loss_D_real: -0.006582 Loss_D_fake 0.016580
[933/5000][170/535][96142] Loss_D: -0.022401 Loss_G: 0.010115 Loss_D_real: -0.029867 Loss_D_fake -0.007467
[933/5000][175/535][96143] Loss_D: -0.023129 Loss_G: -0.005477 Loss_D_real: -0.015668 Loss_D_fake 0.007462
[933/5000][180/535][96144] Loss_D: -0.021705 Loss_G: 0.028989 Loss_D_real: -0.033414 Loss_D_fake -0.011709
[933/5000][185/535][96145] Loss_D: -0.022490 Loss_G: 0.001204 Loss_D_real: -0.016215 Loss_D_fake 0.006275
[933/5000][190/535][96146] Loss_D: -0.023159 Loss_G: 0.009957 Loss_D_real: -0.012051 Loss_D_fake 0.011108
[933/5000][195/535][96147] Loss_D: -0.021682 Loss_G: 0.015591 Loss_D_real: -0.031909 Loss_D_fake -0.010227
[933/5000][200/535][96148] Loss_D: -0.022167 Loss_G: 0.016491 Loss_D_real: -0.019238 Loss_D_fake 0.002929
[933/5000][205/535][96149] Loss_D: -0.021163 Loss_G: 0.013624 Loss_D_real: -0.027608 Loss_D_fake -0.006445
[933/5000][210/535][96150] Loss_D: -0.022363 Loss_G: -0.001876 Loss_D_real: -0.004213 Loss_D_fake 0.018150
[933/5000][215/535][96151] Loss_D: -0.022341 Loss_G: 0.005489 Loss_D_real: -0.023561 Loss_D_fake -0.001220
[933/5000][220/535][96152] Loss_D: -0.022051 Loss_G: 0.008378 Loss_D_real: -0.017083 Loss_D_fake 0.004968
[933/5000][225/535][96153] Loss_D: -0.021693 Loss_G: 0.011908 Loss_D_real: -0.015618 Loss_D_fake 0.006075
[933/5000][230/535][96154] Loss_D: -0.022509 Loss_G: -0.009731 Loss_D_real: -0.005713 Loss_D_fake 0.016796
[933/5000][235/535][96155] Loss_D: -0.023037 Loss_G: 0.021496 Loss_D_real: -0.026883 Loss_D_fake -0.003846
[933/5000][240/535][96156] Loss_D: -0.023252 Loss_G: 0.012121 Loss_D_real: -0.023639 Loss_D_fake -0.000387
[933/5000][245/535][96157] Loss_D: -0.024047 Loss_G: 0.019278 Loss_D_real: -0.027732 Loss_D_fake -0.003685
[933/5000][250/535][96158] Loss_D: -0.022975 Loss_G: -0.006281 Loss_D_real: -0.021001 Loss_D_fake 0.001974
[933/5000][255/535][96159] Loss_D: -0.022295 Loss_G: 0.020306 Loss_D_real: -0.021716 Loss_D_fake 0.000579
[933/5000][260/535][96160] Loss_D: -0.021302 Loss_G: 0.019222 Loss_D_real: -0.037077 Loss_D_fake -0.015774
[933/5000][265/535][96161] Loss_D: -0.022870 Loss_G: 0.006383 Loss_D_real: -0.014454 Loss_D_fake 0.008416
[933/5000][270/535][96162] Loss_D: -0.021810 Loss_G: 0.012084 Loss_D_real: -0.028925 Loss_D_fake -0.007116
[933/5000][275/535][96163] Loss_D: -0.023045 Loss_G: -0.013786 Loss_D_real: -0.013645 Loss_D_fake 0.009399
[933/5000][280/535][96164] Loss_D: -0.022225 Loss_G: 0.002575 Loss_D_real: -0.011636 Loss_D_fake 0.010589
[933/5000][285/535][96165] Loss_D: -0.022905 Loss_G: 0.000913 Loss_D_real: -0.021289 Loss_D_fake 0.001616
[933/5000][290/535][96166] Loss_D: -0.023672 Loss_G: 0.020348 Loss_D_real: -0.013414 Loss_D_fake 0.010258
[933/5000][295/535][96167] Loss_D: -0.021705 Loss_G: -0.000322 Loss_D_real: -0.005976 Loss_D_fake 0.015729
[933/5000][300/535][96168] Loss_D: -0.021631 Loss_G: 0.015576 Loss_D_real: -0.025792 Loss_D_fake -0.004161
[933/5000][305/535][96169] Loss_D: -0.023059 Loss_G: 0.012713 Loss_D_real: -0.016374 Loss_D_fake 0.006684
[933/5000][310/535][96170] Loss_D: -0.023165 Loss_G: 0.001432 Loss_D_real: -0.011375 Loss_D_fake 0.011790
[933/5000][315/535][96171] Loss_D: -0.021642 Loss_G: 0.009805 Loss_D_real: -0.013436 Loss_D_fake 0.008206
[933/5000][320/535][96172] Loss_D: -0.021312 Loss_G: 0.032680 Loss_D_real: -0.033096 Loss_D_fake -0.011784
[933/5000][325/535][96173] Loss_D: -0.022472 Loss_G: 0.010378 Loss_D_real: -0.018947 Loss_D_fake 0.003525
[933/5000][330/535][96174] Loss_D: -0.023328 Loss_G: 0.002735 Loss_D_real: -0.027301 Loss_D_fake -0.003973
[933/5000][335/535][96175] Loss_D: -0.022350 Loss_G: -0.002424 Loss_D_real: -0.009353 Loss_D_fake 0.012996
[933/5000][340/535][96176] Loss_D: -0.021930 Loss_G: 0.006134 Loss_D_real: -0.010084 Loss_D_fake 0.011846
[933/5000][345/535][96177] Loss_D: -0.022860 Loss_G: 0.007491 Loss_D_real: -0.010824 Loss_D_fake 0.012036
[933/5000][350/535][96178] Loss_D: -0.023431 Loss_G: 0.018811 Loss_D_real: -0.025891 Loss_D_fake -0.002460
[933/5000][355/535][96179] Loss_D: -0.021878 Loss_G: 0.019417 Loss_D_real: -0.031710 Loss_D_fake -0.009832
[933/5000][360/535][96180] Loss_D: -0.023096 Loss_G: 0.020420 Loss_D_real: -0.022328 Loss_D_fake 0.000768
[933/5000][365/535][96181] Loss_D: -0.021947 Loss_G: 0.009386 Loss_D_real: -0.023696 Loss_D_fake -0.001749
[933/5000][370/535][96182] Loss_D: -0.021642 Loss_G: 0.017229 Loss_D_real: -0.024520 Loss_D_fake -0.002878
[933/5000][375/535][96183] Loss_D: -0.022580 Loss_G: 0.003850 Loss_D_real: -0.021962 Loss_D_fake 0.000619
[933/5000][380/535][96184] Loss_D: -0.023377 Loss_G: -0.003074 Loss_D_real: -0.003510 Loss_D_fake 0.019868
[933/5000][385/535][96185] Loss_D: -0.022426 Loss_G: 0.006405 Loss_D_real: -0.016790 Loss_D_fake 0.005636
[933/5000][390/535][96186] Loss_D: -0.022955 Loss_G: 0.001451 Loss_D_real: -0.015713 Loss_D_fake 0.007241
[933/5000][395/535][96187] Loss_D: -0.022778 Loss_G: 0.018302 Loss_D_real: -0.040913 Loss_D_fake -0.018135
[933/5000][400/535][96188] Loss_D: -0.022608 Loss_G: -0.010781 Loss_D_real: -0.005641 Loss_D_fake 0.016968
[933/5000][405/535][96189] Loss_D: -0.021530 Loss_G: 0.015722 Loss_D_real: -0.019400 Loss_D_fake 0.002130
[933/5000][410/535][96190] Loss_D: -0.023479 Loss_G: -0.000666 Loss_D_real: -0.022825 Loss_D_fake 0.000654
[933/5000][415/535][96191] Loss_D: -0.022563 Loss_G: 0.009848 Loss_D_real: -0.020813 Loss_D_fake 0.001750
[933/5000][420/535][96192] Loss_D: -0.021243 Loss_G: -0.003373 Loss_D_real: 0.003180 Loss_D_fake 0.024423
[933/5000][425/535][96193] Loss_D: -0.021644 Loss_G: 0.017499 Loss_D_real: -0.027569 Loss_D_fake -0.005926
[933/5000][430/535][96194] Loss_D: -0.021847 Loss_G: 0.007444 Loss_D_real: -0.016895 Loss_D_fake 0.004952
[933/5000][435/535][96195] Loss_D: -0.022948 Loss_G: -0.010932 Loss_D_real: -0.004948 Loss_D_fake 0.018000
[933/5000][440/535][96196] Loss_D: -0.021547 Loss_G: 0.023776 Loss_D_real: -0.022073 Loss_D_fake -0.000526
[933/5000][445/535][96197] Loss_D: -0.022067 Loss_G: 0.021527 Loss_D_real: -0.026039 Loss_D_fake -0.003972
[933/5000][450/535][96198] Loss_D: -0.021982 Loss_G: -0.001356 Loss_D_real: -0.017376 Loss_D_fake 0.004606
[933/5000][455/535][96199] Loss_D: -0.021830 Loss_G: 0.019839 Loss_D_real: -0.029782 Loss_D_fake -0.007951
[933/5000][460/535][96200] Loss_D: -0.022253 Loss_G: -0.003012 Loss_D_real: -0.013552 Loss_D_fake 0.008701
[933/5000][465/535][96201] Loss_D: -0.021724 Loss_G: 0.016776 Loss_D_real: -0.022484 Loss_D_fake -0.000759
[933/5000][470/535][96202] Loss_D: -0.022158 Loss_G: -0.000430 Loss_D_real: -0.014288 Loss_D_fake 0.007869
[933/5000][475/535][96203] Loss_D: -0.022237 Loss_G: 0.017997 Loss_D_real: -0.013474 Loss_D_fake 0.008763
[933/5000][480/535][96204] Loss_D: -0.022446 Loss_G: 0.028042 Loss_D_real: -0.026185 Loss_D_fake -0.003738
[933/5000][485/535][96205] Loss_D: -0.021563 Loss_G: -0.000336 Loss_D_real: -0.011702 Loss_D_fake 0.009861
[933/5000][490/535][96206] Loss_D: -0.022035 Loss_G: 0.005466 Loss_D_real: -0.012984 Loss_D_fake 0.009052
[933/5000][495/535][96207] Loss_D: -0.021498 Loss_G: 0.015283 Loss_D_real: -0.016422 Loss_D_fake 0.005076
[933/5000][500/535][96208] Loss_D: -0.021911 Loss_G: -0.008844 Loss_D_real: -0.006585 Loss_D_fake 0.015326
[933/5000][505/535][96209] Loss_D: -0.022638 Loss_G: 0.015735 Loss_D_real: -0.024582 Loss_D_fake -0.001943
[933/5000][510/535][96210] Loss_D: -0.022319 Loss_G: 0.006993 Loss_D_real: -0.028310 Loss_D_fake -0.005991
[933/5000][515/535][96211] Loss_D: -0.022744 Loss_G: 0.007427 Loss_D_real: -0.017325 Loss_D_fake 0.005419
[933/5000][520/535][96212] Loss_D: -0.022691 Loss_G: 0.006467 Loss_D_real: -0.023543 Loss_D_fake -0.000853
[933/5000][525/535][96213] Loss_D: -0.022411 Loss_G: -0.012454 Loss_D_real: -0.011217 Loss_D_fake 0.011193
[933/5000][530/535][96214] Loss_D: -0.022738 Loss_G: 0.004328 Loss_D_real: -0.023980 Loss_D_fake -0.001241
[933/5000][535/535][96215] Loss_D: -0.018658 Loss_G: -0.014967 Loss_D_real: 0.002914 Loss_D_fake 0.021572
[934/5000][5/535][96216] Loss_D: -0.022603 Loss_G: 0.018232 Loss_D_real: -0.016822 Loss_D_fake 0.005782
[934/5000][10/535][96217] Loss_D: -0.022875 Loss_G: 0.013919 Loss_D_real: -0.020779 Loss_D_fake 0.002096
[934/5000][15/535][96218] Loss_D: -0.022704 Loss_G: 0.018303 Loss_D_real: -0.024810 Loss_D_fake -0.002106
[934/5000][20/535][96219] Loss_D: -0.021959 Loss_G: 0.017966 Loss_D_real: -0.029697 Loss_D_fake -0.007738
[934/5000][25/535][96220] Loss_D: -0.023162 Loss_G: 0.001152 Loss_D_real: -0.023773 Loss_D_fake -0.000611
[934/5000][30/535][96221] Loss_D: -0.022719 Loss_G: -0.004568 Loss_D_real: -0.013386 Loss_D_fake 0.009333
[934/5000][35/535][96222] Loss_D: -0.021584 Loss_G: 0.022018 Loss_D_real: -0.038243 Loss_D_fake -0.016659
[934/5000][40/535][96223] Loss_D: -0.023720 Loss_G: 0.004138 Loss_D_real: -0.016781 Loss_D_fake 0.006939
[934/5000][45/535][96224] Loss_D: -0.021430 Loss_G: 0.030448 Loss_D_real: -0.029985 Loss_D_fake -0.008556
[934/5000][50/535][96225] Loss_D: -0.023091 Loss_G: 0.005905 Loss_D_real: -0.018666 Loss_D_fake 0.004426
[934/5000][55/535][96226] Loss_D: -0.022526 Loss_G: 0.009060 Loss_D_real: -0.010276 Loss_D_fake 0.012250
[934/5000][60/535][96227] Loss_D: -0.020755 Loss_G: 0.004420 Loss_D_real: -0.014020 Loss_D_fake 0.006735
[934/5000][65/535][96228] Loss_D: -0.022005 Loss_G: 0.006861 Loss_D_real: -0.013290 Loss_D_fake 0.008714
[934/5000][70/535][96229] Loss_D: -0.022255 Loss_G: 0.000141 Loss_D_real: -0.030283 Loss_D_fake -0.008028
[934/5000][75/535][96230] Loss_D: -0.021381 Loss_G: -0.002804 Loss_D_real: -0.009599 Loss_D_fake 0.011782
[934/5000][80/535][96231] Loss_D: -0.022213 Loss_G: -0.007913 Loss_D_real: -0.004250 Loss_D_fake 0.017963
[934/5000][85/535][96232] Loss_D: -0.022119 Loss_G: 0.003040 Loss_D_real: -0.019224 Loss_D_fake 0.002895
[934/5000][90/535][96233] Loss_D: -0.021718 Loss_G: 0.025621 Loss_D_real: -0.018468 Loss_D_fake 0.003250
[934/5000][95/535][96234] Loss_D: -0.021315 Loss_G: 0.000200 Loss_D_real: -0.007179 Loss_D_fake 0.014136
[934/5000][100/535][96235] Loss_D: -0.021322 Loss_G: -0.011923 Loss_D_real: -0.005787 Loss_D_fake 0.015535
[934/5000][105/535][96236] Loss_D: -0.021851 Loss_G: 0.020843 Loss_D_real: -0.019105 Loss_D_fake 0.002746
[934/5000][110/535][96237] Loss_D: -0.021444 Loss_G: 0.018104 Loss_D_real: -0.025778 Loss_D_fake -0.004334
[934/5000][115/535][96238] Loss_D: -0.022584 Loss_G: -0.009761 Loss_D_real: -0.011830 Loss_D_fake 0.010754
[934/5000][120/535][96239] Loss_D: -0.020770 Loss_G: 0.022127 Loss_D_real: -0.025409 Loss_D_fake -0.004639
[934/5000][125/535][96240] Loss_D: -0.022302 Loss_G: 0.004626 Loss_D_real: -0.016000 Loss_D_fake 0.006303
[934/5000][130/535][96241] Loss_D: -0.021514 Loss_G: 0.025605 Loss_D_real: -0.030930 Loss_D_fake -0.009416
[934/5000][135/535][96242] Loss_D: -0.022658 Loss_G: 0.010261 Loss_D_real: -0.025552 Loss_D_fake -0.002894
[934/5000][140/535][96243] Loss_D: -0.021912 Loss_G: -0.016864 Loss_D_real: -0.011991 Loss_D_fake 0.009921
[934/5000][145/535][96244] Loss_D: -0.021846 Loss_G: 0.018695 Loss_D_real: -0.028428 Loss_D_fake -0.006582
[934/5000][150/535][96245] Loss_D: -0.022934 Loss_G: 0.005317 Loss_D_real: -0.011437 Loss_D_fake 0.011498
[934/5000][155/535][96246] Loss_D: -0.020572 Loss_G: -0.009510 Loss_D_real: 0.001464 Loss_D_fake 0.022036
[934/5000][160/535][96247] Loss_D: -0.021648 Loss_G: -0.004172 Loss_D_real: -0.013913 Loss_D_fake 0.007735
[934/5000][165/535][96248] Loss_D: -0.021077 Loss_G: 0.017804 Loss_D_real: -0.024947 Loss_D_fake -0.003870
[934/5000][170/535][96249] Loss_D: -0.021999 Loss_G: 0.000714 Loss_D_real: -0.003852 Loss_D_fake 0.018146
[934/5000][175/535][96250] Loss_D: -0.022194 Loss_G: 0.009892 Loss_D_real: -0.032693 Loss_D_fake -0.010499
[934/5000][180/535][96251] Loss_D: -0.020841 Loss_G: -0.004851 Loss_D_real: -0.003397 Loss_D_fake 0.017444
[934/5000][185/535][96252] Loss_D: -0.022624 Loss_G: 0.011917 Loss_D_real: -0.021461 Loss_D_fake 0.001163
[934/5000][190/535][96253] Loss_D: -0.022862 Loss_G: 0.002703 Loss_D_real: -0.024517 Loss_D_fake -0.001655
[934/5000][195/535][96254] Loss_D: -0.023303 Loss_G: -0.002246 Loss_D_real: -0.020458 Loss_D_fake 0.002845
[934/5000][200/535][96255] Loss_D: -0.023267 Loss_G: 0.008079 Loss_D_real: -0.013830 Loss_D_fake 0.009437
[934/5000][205/535][96256] Loss_D: -0.021670 Loss_G: -0.002979 Loss_D_real: -0.015296 Loss_D_fake 0.006375
[934/5000][210/535][96257] Loss_D: -0.022425 Loss_G: -0.008537 Loss_D_real: -0.006887 Loss_D_fake 0.015538
[934/5000][215/535][96258] Loss_D: -0.022612 Loss_G: 0.024009 Loss_D_real: -0.025099 Loss_D_fake -0.002487
[934/5000][220/535][96259] Loss_D: -0.021851 Loss_G: 0.012917 Loss_D_real: -0.020440 Loss_D_fake 0.001411
[934/5000][225/535][96260] Loss_D: -0.023195 Loss_G: 0.000502 Loss_D_real: -0.016723 Loss_D_fake 0.006471
[934/5000][230/535][96261] Loss_D: -0.020415 Loss_G: -0.014151 Loss_D_real: 0.001412 Loss_D_fake 0.021827
[934/5000][235/535][96262] Loss_D: -0.020026 Loss_G: 0.025500 Loss_D_real: -0.029701 Loss_D_fake -0.009675
[934/5000][240/535][96263] Loss_D: -0.021640 Loss_G: -0.010602 Loss_D_real: 0.007745 Loss_D_fake 0.029385
[934/5000][245/535][96264] Loss_D: -0.021824 Loss_G: -0.003457 Loss_D_real: 0.002783 Loss_D_fake 0.024607
[934/5000][250/535][96265] Loss_D: -0.023155 Loss_G: 0.005617 Loss_D_real: -0.021513 Loss_D_fake 0.001642
[934/5000][255/535][96266] Loss_D: -0.022588 Loss_G: 0.003190 Loss_D_real: -0.019597 Loss_D_fake 0.002991
[934/5000][260/535][96267] Loss_D: -0.022086 Loss_G: -0.001253 Loss_D_real: -0.001986 Loss_D_fake 0.020100
[934/5000][265/535][96268] Loss_D: -0.023070 Loss_G: 0.018846 Loss_D_real: -0.027920 Loss_D_fake -0.004850
[934/5000][270/535][96269] Loss_D: -0.022450 Loss_G: -0.005778 Loss_D_real: -0.010818 Loss_D_fake 0.011633
[934/5000][275/535][96270] Loss_D: -0.022717 Loss_G: -0.011739 Loss_D_real: -0.005790 Loss_D_fake 0.016927
[934/5000][280/535][96271] Loss_D: -0.021779 Loss_G: 0.021913 Loss_D_real: -0.025158 Loss_D_fake -0.003379
[934/5000][285/535][96272] Loss_D: -0.023431 Loss_G: 0.004574 Loss_D_real: -0.010782 Loss_D_fake 0.012649
[934/5000][290/535][96273] Loss_D: -0.022952 Loss_G: -0.003539 Loss_D_real: -0.001616 Loss_D_fake 0.021336
[934/5000][295/535][96274] Loss_D: -0.024748 Loss_G: 0.016710 Loss_D_real: -0.027863 Loss_D_fake -0.003115
[934/5000][300/535][96275] Loss_D: -0.022978 Loss_G: 0.019392 Loss_D_real: -0.026246 Loss_D_fake -0.003268
[934/5000][305/535][96276] Loss_D: -0.022925 Loss_G: -0.006283 Loss_D_real: -0.005843 Loss_D_fake 0.017082
[934/5000][310/535][96277] Loss_D: -0.022436 Loss_G: 0.024371 Loss_D_real: -0.025761 Loss_D_fake -0.003325
[934/5000][315/535][96278] Loss_D: -0.022599 Loss_G: 0.010111 Loss_D_real: -0.018890 Loss_D_fake 0.003710
[934/5000][320/535][96279] Loss_D: -0.022124 Loss_G: -0.006653 Loss_D_real: -0.006138 Loss_D_fake 0.015986
[934/5000][325/535][96280] Loss_D: -0.021863 Loss_G: -0.002901 Loss_D_real: -0.011507 Loss_D_fake 0.010357
[934/5000][330/535][96281] Loss_D: -0.021539 Loss_G: 0.007508 Loss_D_real: -0.031751 Loss_D_fake -0.010213
[934/5000][335/535][96282] Loss_D: -0.022485 Loss_G: 0.010284 Loss_D_real: -0.020487 Loss_D_fake 0.001998
[934/5000][340/535][96283] Loss_D: -0.022212 Loss_G: 0.001886 Loss_D_real: -0.019338 Loss_D_fake 0.002875
[934/5000][345/535][96284] Loss_D: -0.021859 Loss_G: 0.014367 Loss_D_real: -0.015042 Loss_D_fake 0.006817
[934/5000][350/535][96285] Loss_D: -0.022040 Loss_G: 0.014689 Loss_D_real: -0.025265 Loss_D_fake -0.003225
[934/5000][355/535][96286] Loss_D: -0.021105 Loss_G: 0.014067 Loss_D_real: -0.027006 Loss_D_fake -0.005902
[934/5000][360/535][96287] Loss_D: -0.021617 Loss_G: -0.007408 Loss_D_real: -0.015105 Loss_D_fake 0.006512
[934/5000][365/535][96288] Loss_D: -0.022834 Loss_G: 0.001707 Loss_D_real: -0.016283 Loss_D_fake 0.006551
[934/5000][370/535][96289] Loss_D: -0.022994 Loss_G: -0.008627 Loss_D_real: -0.011582 Loss_D_fake 0.011412
[934/5000][375/535][96290] Loss_D: -0.020047 Loss_G: 0.023039 Loss_D_real: -0.028802 Loss_D_fake -0.008755
[934/5000][380/535][96291] Loss_D: -0.021990 Loss_G: -0.003390 Loss_D_real: -0.013351 Loss_D_fake 0.008639
[934/5000][385/535][96292] Loss_D: -0.023070 Loss_G: 0.000613 Loss_D_real: -0.010213 Loss_D_fake 0.012856
[934/5000][390/535][96293] Loss_D: -0.021124 Loss_G: -0.014869 Loss_D_real: 0.000576 Loss_D_fake 0.021700
[934/5000][395/535][96294] Loss_D: -0.022498 Loss_G: 0.011497 Loss_D_real: -0.021631 Loss_D_fake 0.000867
[934/5000][400/535][96295] Loss_D: -0.021615 Loss_G: -0.008477 Loss_D_real: -0.006099 Loss_D_fake 0.015516
[934/5000][405/535][96296] Loss_D: -0.023154 Loss_G: 0.015932 Loss_D_real: -0.022580 Loss_D_fake 0.000574
[934/5000][410/535][96297] Loss_D: -0.023260 Loss_G: -0.009332 Loss_D_real: -0.010039 Loss_D_fake 0.013221
[934/5000][415/535][96298] Loss_D: -0.022532 Loss_G: 0.011214 Loss_D_real: -0.015569 Loss_D_fake 0.006963
[934/5000][420/535][96299] Loss_D: -0.023929 Loss_G: -0.010448 Loss_D_real: -0.023400 Loss_D_fake 0.000530
[934/5000][425/535][96300] Loss_D: -0.022542 Loss_G: 0.021801 Loss_D_real: -0.031353 Loss_D_fake -0.008811
[934/5000][430/535][96301] Loss_D: -0.021404 Loss_G: -0.012824 Loss_D_real: -0.006362 Loss_D_fake 0.015043
[934/5000][435/535][96302] Loss_D: -0.021369 Loss_G: 0.011430 Loss_D_real: -0.017309 Loss_D_fake 0.004060
[934/5000][440/535][96303] Loss_D: -0.022569 Loss_G: 0.014601 Loss_D_real: -0.024369 Loss_D_fake -0.001800
[934/5000][445/535][96304] Loss_D: -0.022713 Loss_G: 0.019237 Loss_D_real: -0.026934 Loss_D_fake -0.004220
[934/5000][450/535][96305] Loss_D: -0.022843 Loss_G: 0.005437 Loss_D_real: -0.020742 Loss_D_fake 0.002101
[934/5000][455/535][96306] Loss_D: -0.022421 Loss_G: 0.007991 Loss_D_real: -0.017824 Loss_D_fake 0.004597
[934/5000][460/535][96307] Loss_D: -0.021580 Loss_G: 0.020833 Loss_D_real: -0.032189 Loss_D_fake -0.010609
[934/5000][465/535][96308] Loss_D: -0.022297 Loss_G: -0.003287 Loss_D_real: -0.011117 Loss_D_fake 0.011180
[934/5000][470/535][96309] Loss_D: -0.022815 Loss_G: 0.020019 Loss_D_real: -0.027842 Loss_D_fake -0.005027
[934/5000][475/535][96310] Loss_D: -0.022804 Loss_G: -0.001803 Loss_D_real: -0.012078 Loss_D_fake 0.010726
[934/5000][480/535][96311] Loss_D: -0.021767 Loss_G: 0.014401 Loss_D_real: -0.017518 Loss_D_fake 0.004248
[934/5000][485/535][96312] Loss_D: -0.022369 Loss_G: 0.025515 Loss_D_real: -0.023672 Loss_D_fake -0.001302
[934/5000][490/535][96313] Loss_D: -0.020563 Loss_G: -0.009920 Loss_D_real: -0.001913 Loss_D_fake 0.018650
[934/5000][495/535][96314] Loss_D: -0.023281 Loss_G: 0.002714 Loss_D_real: -0.016129 Loss_D_fake 0.007152
[934/5000][500/535][96315] Loss_D: -0.022113 Loss_G: 0.004355 Loss_D_real: -0.019833 Loss_D_fake 0.002280
[934/5000][505/535][96316] Loss_D: -0.021124 Loss_G: 0.015608 Loss_D_real: -0.031828 Loss_D_fake -0.010703
[934/5000][510/535][96317] Loss_D: -0.022243 Loss_G: 0.003029 Loss_D_real: -0.010744 Loss_D_fake 0.011499
[934/5000][515/535][96318] Loss_D: -0.022679 Loss_G: 0.018902 Loss_D_real: -0.020825 Loss_D_fake 0.001854
[934/5000][520/535][96319] Loss_D: -0.020591 Loss_G: 0.011533 Loss_D_real: -0.008616 Loss_D_fake 0.011975
[934/5000][525/535][96320] Loss_D: -0.022005 Loss_G: 0.003304 Loss_D_real: -0.017824 Loss_D_fake 0.004180
[934/5000][530/535][96321] Loss_D: -0.023080 Loss_G: 0.002293 Loss_D_real: -0.021992 Loss_D_fake 0.001088
[934/5000][535/535][96322] Loss_D: -0.021666 Loss_G: 0.015750 Loss_D_real: -0.007030 Loss_D_fake 0.014636
[935/5000][5/535][96323] Loss_D: -0.022702 Loss_G: -0.005395 Loss_D_real: -0.014847 Loss_D_fake 0.007855
[935/5000][10/535][96324] Loss_D: -0.021746 Loss_G: 0.002114 Loss_D_real: -0.021341 Loss_D_fake 0.000405
[935/5000][15/535][96325] Loss_D: -0.021666 Loss_G: -0.002934 Loss_D_real: -0.015880 Loss_D_fake 0.005786
[935/5000][20/535][96326] Loss_D: -0.022748 Loss_G: 0.017365 Loss_D_real: -0.030861 Loss_D_fake -0.008113
[935/5000][25/535][96327] Loss_D: -0.022244 Loss_G: -0.000260 Loss_D_real: -0.018997 Loss_D_fake 0.003248
[935/5000][30/535][96328] Loss_D: -0.022093 Loss_G: 0.001954 Loss_D_real: -0.017068 Loss_D_fake 0.005025
[935/5000][35/535][96329] Loss_D: -0.021956 Loss_G: 0.012274 Loss_D_real: -0.035310 Loss_D_fake -0.013355
[935/5000][40/535][96330] Loss_D: -0.023313 Loss_G: 0.012445 Loss_D_real: -0.021473 Loss_D_fake 0.001840
[935/5000][45/535][96331] Loss_D: -0.022512 Loss_G: 0.006464 Loss_D_real: -0.024899 Loss_D_fake -0.002386
[935/5000][50/535][96332] Loss_D: -0.021289 Loss_G: 0.011501 Loss_D_real: -0.032330 Loss_D_fake -0.011041
[935/5000][55/535][96333] Loss_D: -0.023196 Loss_G: 0.000236 Loss_D_real: -0.014260 Loss_D_fake 0.008936
[935/5000][60/535][96334] Loss_D: -0.023500 Loss_G: 0.006615 Loss_D_real: -0.007494 Loss_D_fake 0.016005
[935/5000][65/535][96335] Loss_D: -0.020710 Loss_G: 0.007334 Loss_D_real: -0.030543 Loss_D_fake -0.009833
[935/5000][70/535][96336] Loss_D: -0.022581 Loss_G: 0.013140 Loss_D_real: -0.018005 Loss_D_fake 0.004576
[935/5000][75/535][96337] Loss_D: -0.023827 Loss_G: 0.005920 Loss_D_real: -0.011722 Loss_D_fake 0.012104
[935/5000][80/535][96338] Loss_D: -0.023203 Loss_G: -0.008286 Loss_D_real: -0.004212 Loss_D_fake 0.018991
[935/5000][85/535][96339] Loss_D: -0.020788 Loss_G: 0.016461 Loss_D_real: -0.032882 Loss_D_fake -0.012094
[935/5000][90/535][96340] Loss_D: -0.021995 Loss_G: 0.002393 Loss_D_real: -0.012298 Loss_D_fake 0.009698
[935/5000][95/535][96341] Loss_D: -0.022101 Loss_G: -0.001359 Loss_D_real: -0.006785 Loss_D_fake 0.015316
[935/5000][100/535][96342] Loss_D: -0.023770 Loss_G: 0.016047 Loss_D_real: -0.029823 Loss_D_fake -0.006052
[935/5000][105/535][96343] Loss_D: -0.022735 Loss_G: 0.004133 Loss_D_real: -0.012138 Loss_D_fake 0.010597
[935/5000][110/535][96344] Loss_D: -0.023409 Loss_G: 0.008385 Loss_D_real: -0.020567 Loss_D_fake 0.002842
[935/5000][115/535][96345] Loss_D: -0.021624 Loss_G: -0.013452 Loss_D_real: -0.011104 Loss_D_fake 0.010520
[935/5000][120/535][96346] Loss_D: -0.023664 Loss_G: 0.005854 Loss_D_real: -0.020438 Loss_D_fake 0.003226
[935/5000][125/535][96347] Loss_D: -0.021080 Loss_G: 0.020319 Loss_D_real: -0.033604 Loss_D_fake -0.012524
[935/5000][130/535][96348] Loss_D: -0.021474 Loss_G: -0.012105 Loss_D_real: -0.014724 Loss_D_fake 0.006751
[935/5000][135/535][96349] Loss_D: -0.020489 Loss_G: 0.026432 Loss_D_real: -0.031976 Loss_D_fake -0.011487
[935/5000][140/535][96350] Loss_D: -0.021712 Loss_G: 0.011061 Loss_D_real: -0.017571 Loss_D_fake 0.004141
[935/5000][145/535][96351] Loss_D: -0.021476 Loss_G: 0.013625 Loss_D_real: -0.018594 Loss_D_fake 0.002882
[935/5000][150/535][96352] Loss_D: -0.023062 Loss_G: 0.013758 Loss_D_real: -0.022783 Loss_D_fake 0.000279
[935/5000][155/535][96353] Loss_D: -0.021710 Loss_G: 0.020463 Loss_D_real: -0.025815 Loss_D_fake -0.004105
[935/5000][160/535][96354] Loss_D: -0.023324 Loss_G: -0.001357 Loss_D_real: -0.013284 Loss_D_fake 0.010040
[935/5000][165/535][96355] Loss_D: -0.022136 Loss_G: 0.010223 Loss_D_real: -0.014742 Loss_D_fake 0.007394
[935/5000][170/535][96356] Loss_D: -0.021323 Loss_G: 0.017715 Loss_D_real: -0.034851 Loss_D_fake -0.013527
[935/5000][175/535][96357] Loss_D: -0.023011 Loss_G: 0.001763 Loss_D_real: -0.011589 Loss_D_fake 0.011422
[935/5000][180/535][96358] Loss_D: -0.023020 Loss_G: -0.013738 Loss_D_real: -0.014690 Loss_D_fake 0.008330
[935/5000][185/535][96359] Loss_D: -0.022642 Loss_G: 0.005483 Loss_D_real: -0.028444 Loss_D_fake -0.005802
[935/5000][190/535][96360] Loss_D: -0.022638 Loss_G: 0.001355 Loss_D_real: -0.008240 Loss_D_fake 0.014398
[935/5000][195/535][96361] Loss_D: -0.021832 Loss_G: -0.009551 Loss_D_real: 0.005924 Loss_D_fake 0.027757
[935/5000][200/535][96362] Loss_D: -0.021968 Loss_G: 0.012978 Loss_D_real: -0.006432 Loss_D_fake 0.015536
[935/5000][205/535][96363] Loss_D: -0.023207 Loss_G: 0.012891 Loss_D_real: -0.022301 Loss_D_fake 0.000906
[935/5000][210/535][96364] Loss_D: -0.022319 Loss_G: 0.022958 Loss_D_real: -0.028365 Loss_D_fake -0.006046
[935/5000][215/535][96365] Loss_D: -0.022783 Loss_G: 0.010004 Loss_D_real: -0.019095 Loss_D_fake 0.003688
[935/5000][220/535][96366] Loss_D: -0.022667 Loss_G: 0.002631 Loss_D_real: -0.020952 Loss_D_fake 0.001715
[935/5000][225/535][96367] Loss_D: -0.021149 Loss_G: -0.009740 Loss_D_real: -0.003351 Loss_D_fake 0.017798
[935/5000][230/535][96368] Loss_D: -0.021831 Loss_G: -0.010871 Loss_D_real: -0.006402 Loss_D_fake 0.015428
[935/5000][235/535][96369] Loss_D: -0.021411 Loss_G: 0.005723 Loss_D_real: -0.018309 Loss_D_fake 0.003102
[935/5000][240/535][96370] Loss_D: -0.022904 Loss_G: 0.008053 Loss_D_real: -0.015712 Loss_D_fake 0.007193
[935/5000][245/535][96371] Loss_D: -0.021497 Loss_G: 0.022899 Loss_D_real: -0.028880 Loss_D_fake -0.007383
[935/5000][250/535][96372] Loss_D: -0.021326 Loss_G: 0.012234 Loss_D_real: -0.025076 Loss_D_fake -0.003750
[935/5000][255/535][96373] Loss_D: -0.022089 Loss_G: -0.005828 Loss_D_real: -0.001669 Loss_D_fake 0.020419
[935/5000][260/535][96374] Loss_D: -0.022772 Loss_G: -0.000872 Loss_D_real: -0.012713 Loss_D_fake 0.010060
[935/5000][265/535][96375] Loss_D: -0.023405 Loss_G: 0.007352 Loss_D_real: -0.014327 Loss_D_fake 0.009078
[935/5000][270/535][96376] Loss_D: -0.021495 Loss_G: -0.000171 Loss_D_real: -0.010733 Loss_D_fake 0.010762
[935/5000][275/535][96377] Loss_D: -0.022821 Loss_G: 0.022982 Loss_D_real: -0.025368 Loss_D_fake -0.002548
[935/5000][280/535][96378] Loss_D: -0.021728 Loss_G: 0.002160 Loss_D_real: -0.011635 Loss_D_fake 0.010093
[935/5000][285/535][96379] Loss_D: -0.022831 Loss_G: 0.014834 Loss_D_real: -0.018050 Loss_D_fake 0.004781
[935/5000][290/535][96380] Loss_D: -0.022329 Loss_G: 0.009693 Loss_D_real: -0.020500 Loss_D_fake 0.001829
[935/5000][295/535][96381] Loss_D: -0.021755 Loss_G: 0.019910 Loss_D_real: -0.034438 Loss_D_fake -0.012683
[935/5000][300/535][96382] Loss_D: -0.022020 Loss_G: 0.006762 Loss_D_real: -0.028773 Loss_D_fake -0.006753
[935/5000][305/535][96383] Loss_D: -0.022361 Loss_G: 0.007796 Loss_D_real: -0.018294 Loss_D_fake 0.004067
[935/5000][310/535][96384] Loss_D: -0.021549 Loss_G: 0.018067 Loss_D_real: -0.031333 Loss_D_fake -0.009784
[935/5000][315/535][96385] Loss_D: -0.022027 Loss_G: -0.007336 Loss_D_real: 0.002270 Loss_D_fake 0.024297
[935/5000][320/535][96386] Loss_D: -0.021350 Loss_G: 0.008048 Loss_D_real: -0.015167 Loss_D_fake 0.006182
[935/5000][325/535][96387] Loss_D: -0.021326 Loss_G: 0.030437 Loss_D_real: -0.037388 Loss_D_fake -0.016062
[935/5000][330/535][96388] Loss_D: -0.021993 Loss_G: 0.021903 Loss_D_real: -0.024819 Loss_D_fake -0.002825
[935/5000][335/535][96389] Loss_D: -0.022095 Loss_G: 0.004819 Loss_D_real: -0.007953 Loss_D_fake 0.014142
[935/5000][340/535][96390] Loss_D: -0.022269 Loss_G: -0.002247 Loss_D_real: -0.005497 Loss_D_fake 0.016772
[935/5000][345/535][96391] Loss_D: -0.022284 Loss_G: 0.012925 Loss_D_real: -0.019501 Loss_D_fake 0.002784
[935/5000][350/535][96392] Loss_D: -0.023376 Loss_G: 0.015215 Loss_D_real: -0.028408 Loss_D_fake -0.005032
[935/5000][355/535][96393] Loss_D: -0.022883 Loss_G: 0.006305 Loss_D_real: -0.016876 Loss_D_fake 0.006007
[935/5000][360/535][96394] Loss_D: -0.021854 Loss_G: 0.001356 Loss_D_real: -0.025005 Loss_D_fake -0.003151
[935/5000][365/535][96395] Loss_D: -0.023002 Loss_G: 0.013078 Loss_D_real: -0.015004 Loss_D_fake 0.007998
[935/5000][370/535][96396] Loss_D: -0.022208 Loss_G: 0.005741 Loss_D_real: -0.019642 Loss_D_fake 0.002566
[935/5000][375/535][96397] Loss_D: -0.021355 Loss_G: 0.009471 Loss_D_real: -0.021931 Loss_D_fake -0.000576
[935/5000][380/535][96398] Loss_D: -0.022115 Loss_G: 0.022372 Loss_D_real: -0.029600 Loss_D_fake -0.007485
[935/5000][385/535][96399] Loss_D: -0.021516 Loss_G: 0.015592 Loss_D_real: -0.032404 Loss_D_fake -0.010888
[935/5000][390/535][96400] Loss_D: -0.022575 Loss_G: -0.003883 Loss_D_real: -0.013823 Loss_D_fake 0.008752
[935/5000][395/535][96401] Loss_D: -0.021409 Loss_G: 0.011842 Loss_D_real: -0.039376 Loss_D_fake -0.017966
[935/5000][400/535][96402] Loss_D: -0.022590 Loss_G: 0.008502 Loss_D_real: -0.006126 Loss_D_fake 0.016464
[935/5000][405/535][96403] Loss_D: -0.021624 Loss_G: 0.023464 Loss_D_real: -0.022531 Loss_D_fake -0.000907
[935/5000][410/535][96404] Loss_D: -0.020205 Loss_G: -0.010887 Loss_D_real: 0.002270 Loss_D_fake 0.022475
[935/5000][415/535][96405] Loss_D: -0.022586 Loss_G: 0.009490 Loss_D_real: -0.021620 Loss_D_fake 0.000966
[935/5000][420/535][96406] Loss_D: -0.021743 Loss_G: 0.004326 Loss_D_real: -0.008202 Loss_D_fake 0.013541
[935/5000][425/535][96407] Loss_D: -0.022390 Loss_G: 0.014776 Loss_D_real: -0.027757 Loss_D_fake -0.005367
[935/5000][430/535][96408] Loss_D: -0.021245 Loss_G: 0.011991 Loss_D_real: -0.025993 Loss_D_fake -0.004748
[935/5000][435/535][96409] Loss_D: -0.022764 Loss_G: -0.004194 Loss_D_real: -0.005712 Loss_D_fake 0.017053
[935/5000][440/535][96410] Loss_D: -0.021910 Loss_G: 0.006362 Loss_D_real: -0.012248 Loss_D_fake 0.009662
[935/5000][445/535][96411] Loss_D: -0.023060 Loss_G: 0.004775 Loss_D_real: -0.010416 Loss_D_fake 0.012644
[935/5000][450/535][96412] Loss_D: -0.021990 Loss_G: 0.005562 Loss_D_real: -0.015233 Loss_D_fake 0.006758
[935/5000][455/535][96413] Loss_D: -0.022021 Loss_G: 0.022118 Loss_D_real: -0.027766 Loss_D_fake -0.005745
[935/5000][460/535][96414] Loss_D: -0.022654 Loss_G: 0.003762 Loss_D_real: -0.023465 Loss_D_fake -0.000810
[935/5000][465/535][96415] Loss_D: -0.022182 Loss_G: 0.017900 Loss_D_real: -0.028110 Loss_D_fake -0.005928
[935/5000][470/535][96416] Loss_D: -0.023177 Loss_G: 0.008581 Loss_D_real: -0.020045 Loss_D_fake 0.003132
[935/5000][475/535][96417] Loss_D: -0.022172 Loss_G: 0.021641 Loss_D_real: -0.022679 Loss_D_fake -0.000508
[935/5000][480/535][96418] Loss_D: -0.022688 Loss_G: -0.010473 Loss_D_real: -0.001993 Loss_D_fake 0.020696
[935/5000][485/535][96419] Loss_D: -0.021660 Loss_G: 0.018204 Loss_D_real: -0.031082 Loss_D_fake -0.009422
[935/5000][490/535][96420] Loss_D: -0.022053 Loss_G: 0.009150 Loss_D_real: -0.014589 Loss_D_fake 0.007465
[935/5000][495/535][96421] Loss_D: -0.022660 Loss_G: 0.017744 Loss_D_real: -0.022284 Loss_D_fake 0.000377
[935/5000][500/535][96422] Loss_D: -0.022693 Loss_G: 0.005458 Loss_D_real: -0.022697 Loss_D_fake -0.000004
[935/5000][505/535][96423] Loss_D: -0.024142 Loss_G: 0.017986 Loss_D_real: -0.009490 Loss_D_fake 0.014652
[935/5000][510/535][96424] Loss_D: -0.022716 Loss_G: 0.000087 Loss_D_real: -0.006686 Loss_D_fake 0.016030
[935/5000][515/535][96425] Loss_D: -0.022206 Loss_G: 0.000425 Loss_D_real: -0.013569 Loss_D_fake 0.008637
[935/5000][520/535][96426] Loss_D: -0.022109 Loss_G: -0.002312 Loss_D_real: -0.008127 Loss_D_fake 0.013982
[935/5000][525/535][96427] Loss_D: -0.022102 Loss_G: 0.003115 Loss_D_real: -0.012565 Loss_D_fake 0.009537
[935/5000][530/535][96428] Loss_D: -0.022129 Loss_G: 0.000349 Loss_D_real: 0.001012 Loss_D_fake 0.023140
[935/5000][535/535][96429] Loss_D: -0.020137 Loss_G: 0.031238 Loss_D_real: -0.031152 Loss_D_fake -0.011014
[936/5000][5/535][96430] Loss_D: -0.021737 Loss_G: 0.021914 Loss_D_real: -0.030661 Loss_D_fake -0.008924
[936/5000][10/535][96431] Loss_D: -0.023391 Loss_G: 0.006624 Loss_D_real: -0.026326 Loss_D_fake -0.002935
[936/5000][15/535][96432] Loss_D: -0.023323 Loss_G: 0.013069 Loss_D_real: -0.023242 Loss_D_fake 0.000081
[936/5000][20/535][96433] Loss_D: -0.021776 Loss_G: 0.008424 Loss_D_real: -0.012917 Loss_D_fake 0.008859
[936/5000][25/535][96434] Loss_D: -0.022626 Loss_G: -0.003031 Loss_D_real: -0.011833 Loss_D_fake 0.010793
[936/5000][30/535][96435] Loss_D: -0.022123 Loss_G: -0.008684 Loss_D_real: -0.013664 Loss_D_fake 0.008459
[936/5000][35/535][96436] Loss_D: -0.021608 Loss_G: 0.015070 Loss_D_real: -0.025910 Loss_D_fake -0.004303
[936/5000][40/535][96437] Loss_D: -0.022037 Loss_G: 0.017665 Loss_D_real: -0.022217 Loss_D_fake -0.000180
[936/5000][45/535][96438] Loss_D: -0.022940 Loss_G: 0.002010 Loss_D_real: -0.019363 Loss_D_fake 0.003577
[936/5000][50/535][96439] Loss_D: -0.020861 Loss_G: 0.001267 Loss_D_real: -0.008726 Loss_D_fake 0.012135
[936/5000][55/535][96440] Loss_D: -0.022644 Loss_G: 0.015943 Loss_D_real: -0.007955 Loss_D_fake 0.014689
[936/5000][60/535][96441] Loss_D: -0.023572 Loss_G: 0.007086 Loss_D_real: -0.020455 Loss_D_fake 0.003117
[936/5000][65/535][96442] Loss_D: -0.021770 Loss_G: -0.016855 Loss_D_real: -0.003207 Loss_D_fake 0.018563
[936/5000][70/535][96443] Loss_D: -0.022785 Loss_G: 0.012766 Loss_D_real: -0.020238 Loss_D_fake 0.002548
[936/5000][75/535][96444] Loss_D: -0.021716 Loss_G: 0.003276 Loss_D_real: -0.011385 Loss_D_fake 0.010330
[936/5000][80/535][96445] Loss_D: -0.022019 Loss_G: -0.014765 Loss_D_real: -0.007897 Loss_D_fake 0.014122
[936/5000][85/535][96446] Loss_D: -0.022702 Loss_G: 0.003852 Loss_D_real: -0.011131 Loss_D_fake 0.011570
[936/5000][90/535][96447] Loss_D: -0.022179 Loss_G: 0.011020 Loss_D_real: -0.020428 Loss_D_fake 0.001750
[936/5000][95/535][96448] Loss_D: -0.022273 Loss_G: 0.025106 Loss_D_real: -0.026528 Loss_D_fake -0.004255
[936/5000][100/535][96449] Loss_D: -0.022401 Loss_G: 0.003906 Loss_D_real: -0.022406 Loss_D_fake -0.000005
[936/5000][105/535][96450] Loss_D: -0.021800 Loss_G: -0.010207 Loss_D_real: -0.003894 Loss_D_fake 0.017907
[936/5000][110/535][96451] Loss_D: -0.022141 Loss_G: 0.010839 Loss_D_real: -0.015760 Loss_D_fake 0.006381
[936/5000][115/535][96452] Loss_D: -0.022235 Loss_G: 0.004029 Loss_D_real: -0.027241 Loss_D_fake -0.005006
[936/5000][120/535][96453] Loss_D: -0.020869 Loss_G: 0.010327 Loss_D_real: -0.028718 Loss_D_fake -0.007849
[936/5000][125/535][96454] Loss_D: -0.021805 Loss_G: 0.008736 Loss_D_real: -0.023226 Loss_D_fake -0.001421
[936/5000][130/535][96455] Loss_D: -0.022350 Loss_G: 0.012961 Loss_D_real: -0.024908 Loss_D_fake -0.002557
[936/5000][135/535][96456] Loss_D: -0.021939 Loss_G: -0.013981 Loss_D_real: -0.006357 Loss_D_fake 0.015582
[936/5000][140/535][96457] Loss_D: -0.021769 Loss_G: -0.005774 Loss_D_real: -0.016458 Loss_D_fake 0.005312
[936/5000][145/535][96458] Loss_D: -0.022155 Loss_G: 0.016289 Loss_D_real: -0.021271 Loss_D_fake 0.000884
[936/5000][150/535][96459] Loss_D: -0.021636 Loss_G: 0.005831 Loss_D_real: -0.005600 Loss_D_fake 0.016036
[936/5000][155/535][96460] Loss_D: -0.020597 Loss_G: 0.027606 Loss_D_real: -0.033739 Loss_D_fake -0.013141
[936/5000][160/535][96461] Loss_D: -0.022138 Loss_G: -0.009636 Loss_D_real: -0.005179 Loss_D_fake 0.016959
[936/5000][165/535][96462] Loss_D: -0.022104 Loss_G: 0.025786 Loss_D_real: -0.025947 Loss_D_fake -0.003843
[936/5000][170/535][96463] Loss_D: -0.021406 Loss_G: -0.012396 Loss_D_real: -0.010495 Loss_D_fake 0.010910
[936/5000][175/535][96464] Loss_D: -0.022861 Loss_G: 0.021901 Loss_D_real: -0.027057 Loss_D_fake -0.004195
[936/5000][180/535][96465] Loss_D: -0.022115 Loss_G: 0.018537 Loss_D_real: -0.025059 Loss_D_fake -0.002944
[936/5000][185/535][96466] Loss_D: -0.022765 Loss_G: 0.019413 Loss_D_real: -0.025911 Loss_D_fake -0.003146
[936/5000][190/535][96467] Loss_D: -0.023253 Loss_G: 0.008961 Loss_D_real: -0.029904 Loss_D_fake -0.006651
[936/5000][195/535][96468] Loss_D: -0.022737 Loss_G: 0.000001 Loss_D_real: -0.007520 Loss_D_fake 0.015217
[936/5000][200/535][96469] Loss_D: -0.021310 Loss_G: 0.007013 Loss_D_real: -0.027403 Loss_D_fake -0.006093
[936/5000][205/535][96470] Loss_D: -0.021285 Loss_G: 0.016127 Loss_D_real: -0.012475 Loss_D_fake 0.008810
[936/5000][210/535][96471] Loss_D: -0.021444 Loss_G: -0.004357 Loss_D_real: -0.002963 Loss_D_fake 0.018482
[936/5000][215/535][96472] Loss_D: -0.021675 Loss_G: 0.025238 Loss_D_real: -0.032511 Loss_D_fake -0.010837
[936/5000][220/535][96473] Loss_D: -0.022734 Loss_G: 0.003971 Loss_D_real: -0.014498 Loss_D_fake 0.008236
[936/5000][225/535][96474] Loss_D: -0.022579 Loss_G: 0.001812 Loss_D_real: -0.016611 Loss_D_fake 0.005968
[936/5000][230/535][96475] Loss_D: -0.022526 Loss_G: -0.007276 Loss_D_real: -0.011795 Loss_D_fake 0.010730
[936/5000][235/535][96476] Loss_D: -0.021781 Loss_G: 0.001792 Loss_D_real: -0.014236 Loss_D_fake 0.007545
[936/5000][240/535][96477] Loss_D: -0.023484 Loss_G: -0.004680 Loss_D_real: -0.013672 Loss_D_fake 0.009812
[936/5000][245/535][96478] Loss_D: -0.022964 Loss_G: 0.000706 Loss_D_real: -0.006082 Loss_D_fake 0.016882
[936/5000][250/535][96479] Loss_D: -0.022982 Loss_G: 0.007623 Loss_D_real: -0.027874 Loss_D_fake -0.004892
[936/5000][255/535][96480] Loss_D: -0.024073 Loss_G: 0.018826 Loss_D_real: -0.034812 Loss_D_fake -0.010740
[936/5000][260/535][96481] Loss_D: -0.023118 Loss_G: -0.003967 Loss_D_real: -0.009432 Loss_D_fake 0.013687
[936/5000][265/535][96482] Loss_D: -0.022922 Loss_G: 0.011758 Loss_D_real: -0.021011 Loss_D_fake 0.001911
[936/5000][270/535][96483] Loss_D: -0.022834 Loss_G: 0.013437 Loss_D_real: -0.017740 Loss_D_fake 0.005094
[936/5000][275/535][96484] Loss_D: -0.022658 Loss_G: 0.014924 Loss_D_real: -0.021727 Loss_D_fake 0.000931
[936/5000][280/535][96485] Loss_D: -0.022056 Loss_G: 0.007286 Loss_D_real: -0.024037 Loss_D_fake -0.001981
[936/5000][285/535][96486] Loss_D: -0.021215 Loss_G: -0.002380 Loss_D_real: -0.006104 Loss_D_fake 0.015111
[936/5000][290/535][96487] Loss_D: -0.022012 Loss_G: 0.003862 Loss_D_real: -0.015472 Loss_D_fake 0.006540
[936/5000][295/535][96488] Loss_D: -0.021605 Loss_G: 0.011080 Loss_D_real: -0.021571 Loss_D_fake 0.000034
[936/5000][300/535][96489] Loss_D: -0.021721 Loss_G: -0.007573 Loss_D_real: -0.003491 Loss_D_fake 0.018229
[936/5000][305/535][96490] Loss_D: -0.021148 Loss_G: 0.006837 Loss_D_real: -0.037154 Loss_D_fake -0.016006
[936/5000][310/535][96491] Loss_D: -0.022875 Loss_G: 0.013420 Loss_D_real: -0.017063 Loss_D_fake 0.005812
[936/5000][315/535][96492] Loss_D: -0.021791 Loss_G: -0.005793 Loss_D_real: -0.011214 Loss_D_fake 0.010577
[936/5000][320/535][96493] Loss_D: -0.022116 Loss_G: -0.003002 Loss_D_real: -0.013159 Loss_D_fake 0.008957
[936/5000][325/535][96494] Loss_D: -0.022368 Loss_G: 0.013578 Loss_D_real: -0.017820 Loss_D_fake 0.004547
[936/5000][330/535][96495] Loss_D: -0.021346 Loss_G: 0.004110 Loss_D_real: -0.023049 Loss_D_fake -0.001703
[936/5000][335/535][96496] Loss_D: -0.022370 Loss_G: -0.010272 Loss_D_real: -0.013894 Loss_D_fake 0.008476
[936/5000][340/535][96497] Loss_D: -0.022668 Loss_G: 0.007969 Loss_D_real: -0.018196 Loss_D_fake 0.004472
[936/5000][345/535][96498] Loss_D: -0.021488 Loss_G: 0.007959 Loss_D_real: -0.009303 Loss_D_fake 0.012185
[936/5000][350/535][96499] Loss_D: -0.022994 Loss_G: 0.009661 Loss_D_real: -0.016439 Loss_D_fake 0.006555
[936/5000][355/535][96500] Loss_D: -0.021604 Loss_G: 0.008277 Loss_D_real: -0.028423 Loss_D_fake -0.006820
[936/5000][455/535][96501] Loss_D: -0.027172 Loss_G: 0.011816 Loss_D_real: -0.022679 Loss_D_fake 0.004492
[936/5000][460/535][96502] Loss_D: -0.022000 Loss_G: 0.001680 Loss_D_real: 0.001841 Loss_D_fake 0.023842
[936/5000][465/535][96503] Loss_D: -0.022418 Loss_G: 0.020731 Loss_D_real: -0.020836 Loss_D_fake 0.001583
[936/5000][470/535][96504] Loss_D: -0.019555 Loss_G: 0.014335 Loss_D_real: -0.035319 Loss_D_fake -0.015765
[936/5000][475/535][96505] Loss_D: -0.021015 Loss_G: 0.004708 Loss_D_real: -0.011987 Loss_D_fake 0.009028
[936/5000][480/535][96506] Loss_D: -0.021483 Loss_G: 0.003529 Loss_D_real: -0.015457 Loss_D_fake 0.006026
[936/5000][485/535][96507] Loss_D: -0.020515 Loss_G: -0.013266 Loss_D_real: -0.002978 Loss_D_fake 0.017537
[936/5000][490/535][96508] Loss_D: -0.021771 Loss_G: 0.002724 Loss_D_real: -0.008011 Loss_D_fake 0.013760
[936/5000][495/535][96509] Loss_D: -0.022143 Loss_G: 0.002421 Loss_D_real: -0.010075 Loss_D_fake 0.012068
[936/5000][500/535][96510] Loss_D: -0.020938 Loss_G: 0.012008 Loss_D_real: -0.029885 Loss_D_fake -0.008948
[936/5000][505/535][96511] Loss_D: -0.021000 Loss_G: 0.016755 Loss_D_real: -0.019204 Loss_D_fake 0.001796
[936/5000][510/535][96512] Loss_D: -0.020638 Loss_G: -0.001403 Loss_D_real: -0.010536 Loss_D_fake 0.010102
[936/5000][515/535][96513] Loss_D: -0.020765 Loss_G: 0.009340 Loss_D_real: -0.015430 Loss_D_fake 0.005334
[936/5000][520/535][96514] Loss_D: -0.021466 Loss_G: 0.012192 Loss_D_real: -0.031531 Loss_D_fake -0.010065
[936/5000][525/535][96515] Loss_D: -0.022839 Loss_G: 0.005012 Loss_D_real: -0.024819 Loss_D_fake -0.001981
[936/5000][530/535][96516] Loss_D: -0.022071 Loss_G: 0.010270 Loss_D_real: -0.012318 Loss_D_fake 0.009754
[936/5000][535/535][96517] Loss_D: -0.022951 Loss_G: -0.007494 Loss_D_real: -0.017047 Loss_D_fake 0.005903
[937/5000][5/535][96518] Loss_D: -0.023795 Loss_G: 0.008352 Loss_D_real: -0.021236 Loss_D_fake 0.002559
[937/5000][10/535][96519] Loss_D: -0.022672 Loss_G: 0.020897 Loss_D_real: -0.021289 Loss_D_fake 0.001383
[937/5000][15/535][96520] Loss_D: -0.022891 Loss_G: -0.002045 Loss_D_real: -0.009411 Loss_D_fake 0.013480
[937/5000][20/535][96521] Loss_D: -0.021463 Loss_G: 0.005880 Loss_D_real: -0.013785 Loss_D_fake 0.007677
[937/5000][25/535][96522] Loss_D: -0.022174 Loss_G: 0.003954 Loss_D_real: -0.024919 Loss_D_fake -0.002746
[937/5000][30/535][96523] Loss_D: -0.023973 Loss_G: 0.009157 Loss_D_real: -0.019893 Loss_D_fake 0.004080
[937/5000][35/535][96524] Loss_D: -0.022183 Loss_G: -0.000337 Loss_D_real: -0.018742 Loss_D_fake 0.003441
[937/5000][40/535][96525] Loss_D: -0.022238 Loss_G: -0.006880 Loss_D_real: -0.009273 Loss_D_fake 0.012965
[937/5000][45/535][96526] Loss_D: -0.022685 Loss_G: 0.032321 Loss_D_real: -0.030054 Loss_D_fake -0.007369
[937/5000][50/535][96527] Loss_D: -0.022616 Loss_G: 0.000146 Loss_D_real: -0.021208 Loss_D_fake 0.001408
[937/5000][55/535][96528] Loss_D: -0.021492 Loss_G: 0.007200 Loss_D_real: -0.017367 Loss_D_fake 0.004125
[937/5000][60/535][96529] Loss_D: -0.020910 Loss_G: 0.000706 Loss_D_real: -0.020077 Loss_D_fake 0.000832
[937/5000][65/535][96530] Loss_D: -0.022399 Loss_G: 0.004038 Loss_D_real: -0.008527 Loss_D_fake 0.013871
[937/5000][70/535][96531] Loss_D: -0.022787 Loss_G: 0.017648 Loss_D_real: -0.025023 Loss_D_fake -0.002236
[937/5000][75/535][96532] Loss_D: -0.022393 Loss_G: 0.010792 Loss_D_real: -0.019577 Loss_D_fake 0.002815
[937/5000][80/535][96533] Loss_D: -0.022986 Loss_G: 0.004526 Loss_D_real: -0.017336 Loss_D_fake 0.005651
[937/5000][85/535][96534] Loss_D: -0.021711 Loss_G: 0.005377 Loss_D_real: -0.024924 Loss_D_fake -0.003212
[937/5000][90/535][96535] Loss_D: -0.022327 Loss_G: 0.015945 Loss_D_real: -0.021808 Loss_D_fake 0.000519
[937/5000][95/535][96536] Loss_D: -0.022301 Loss_G: 0.008710 Loss_D_real: -0.017656 Loss_D_fake 0.004644
[937/5000][100/535][96537] Loss_D: -0.021032 Loss_G: -0.017139 Loss_D_real: -0.001127 Loss_D_fake 0.019905
[937/5000][105/535][96538] Loss_D: -0.022319 Loss_G: 0.020118 Loss_D_real: -0.021338 Loss_D_fake 0.000981
[937/5000][110/535][96539] Loss_D: -0.022968 Loss_G: -0.001839 Loss_D_real: -0.013778 Loss_D_fake 0.009189
[937/5000][115/535][96540] Loss_D: -0.021316 Loss_G: -0.013298 Loss_D_real: -0.005096 Loss_D_fake 0.016220
[937/5000][120/535][96541] Loss_D: -0.022659 Loss_G: -0.007638 Loss_D_real: -0.018131 Loss_D_fake 0.004528
[937/5000][125/535][96542] Loss_D: -0.020560 Loss_G: 0.007832 Loss_D_real: -0.019753 Loss_D_fake 0.000807
[937/5000][130/535][96543] Loss_D: -0.022604 Loss_G: 0.010195 Loss_D_real: -0.011089 Loss_D_fake 0.011515
[937/5000][135/535][96544] Loss_D: -0.023516 Loss_G: 0.006650 Loss_D_real: -0.021815 Loss_D_fake 0.001701
[937/5000][140/535][96545] Loss_D: -0.021159 Loss_G: 0.004994 Loss_D_real: -0.025167 Loss_D_fake -0.004007
[937/5000][145/535][96546] Loss_D: -0.021615 Loss_G: 0.026498 Loss_D_real: -0.032081 Loss_D_fake -0.010466
[937/5000][150/535][96547] Loss_D: -0.022299 Loss_G: 0.015904 Loss_D_real: -0.016361 Loss_D_fake 0.005939
[937/5000][155/535][96548] Loss_D: -0.022853 Loss_G: 0.018278 Loss_D_real: -0.025524 Loss_D_fake -0.002671
[937/5000][160/535][96549] Loss_D: -0.023162 Loss_G: -0.001951 Loss_D_real: -0.014620 Loss_D_fake 0.008542
[937/5000][165/535][96550] Loss_D: -0.021891 Loss_G: -0.014901 Loss_D_real: 0.000775 Loss_D_fake 0.022666
[937/5000][170/535][96551] Loss_D: -0.022544 Loss_G: -0.001767 Loss_D_real: -0.005280 Loss_D_fake 0.017264
[937/5000][175/535][96552] Loss_D: -0.021729 Loss_G: 0.023087 Loss_D_real: -0.024665 Loss_D_fake -0.002937
[937/5000][180/535][96553] Loss_D: -0.021476 Loss_G: 0.019142 Loss_D_real: -0.033573 Loss_D_fake -0.012098
[937/5000][185/535][96554] Loss_D: -0.022251 Loss_G: -0.005869 Loss_D_real: -0.001623 Loss_D_fake 0.020627
[937/5000][190/535][96555] Loss_D: -0.021757 Loss_G: 0.003991 Loss_D_real: -0.009570 Loss_D_fake 0.012186
[937/5000][195/535][96556] Loss_D: -0.021012 Loss_G: 0.018135 Loss_D_real: -0.027190 Loss_D_fake -0.006178
[937/5000][200/535][96557] Loss_D: -0.021772 Loss_G: 0.006811 Loss_D_real: -0.026738 Loss_D_fake -0.004967
[937/5000][205/535][96558] Loss_D: -0.021728 Loss_G: 0.016911 Loss_D_real: -0.028359 Loss_D_fake -0.006630
[937/5000][210/535][96559] Loss_D: -0.022162 Loss_G: 0.018738 Loss_D_real: -0.018223 Loss_D_fake 0.003939
[937/5000][215/535][96560] Loss_D: -0.021883 Loss_G: 0.013044 Loss_D_real: -0.024487 Loss_D_fake -0.002603
[937/5000][220/535][96561] Loss_D: -0.022528 Loss_G: 0.003254 Loss_D_real: -0.022424 Loss_D_fake 0.000104
[937/5000][225/535][96562] Loss_D: -0.023254 Loss_G: 0.000749 Loss_D_real: -0.012163 Loss_D_fake 0.011091
[937/5000][230/535][96563] Loss_D: -0.022706 Loss_G: 0.003616 Loss_D_real: -0.009970 Loss_D_fake 0.012736
[937/5000][235/535][96564] Loss_D: -0.021869 Loss_G: 0.015113 Loss_D_real: -0.027487 Loss_D_fake -0.005618
[937/5000][240/535][96565] Loss_D: -0.023331 Loss_G: 0.006798 Loss_D_real: -0.013071 Loss_D_fake 0.010260
[937/5000][245/535][96566] Loss_D: -0.022161 Loss_G: 0.004247 Loss_D_real: -0.024634 Loss_D_fake -0.002473
[937/5000][250/535][96567] Loss_D: -0.020747 Loss_G: 0.016292 Loss_D_real: -0.029866 Loss_D_fake -0.009119
[937/5000][255/535][96568] Loss_D: -0.021786 Loss_G: -0.010864 Loss_D_real: -0.001605 Loss_D_fake 0.020180
[937/5000][260/535][96569] Loss_D: -0.022033 Loss_G: 0.010445 Loss_D_real: -0.023711 Loss_D_fake -0.001678
[937/5000][265/535][96570] Loss_D: -0.022940 Loss_G: -0.020353 Loss_D_real: -0.004104 Loss_D_fake 0.018836
[937/5000][270/535][96571] Loss_D: -0.022220 Loss_G: 0.011334 Loss_D_real: -0.023792 Loss_D_fake -0.001572
[937/5000][275/535][96572] Loss_D: -0.022208 Loss_G: -0.003177 Loss_D_real: -0.002387 Loss_D_fake 0.019821
[937/5000][280/535][96573] Loss_D: -0.022603 Loss_G: 0.016148 Loss_D_real: -0.019868 Loss_D_fake 0.002735
[937/5000][285/535][96574] Loss_D: -0.022891 Loss_G: -0.005677 Loss_D_real: -0.006973 Loss_D_fake 0.015918
[937/5000][290/535][96575] Loss_D: -0.021418 Loss_G: 0.004714 Loss_D_real: -0.020078 Loss_D_fake 0.001340
[937/5000][295/535][96576] Loss_D: -0.022104 Loss_G: -0.001892 Loss_D_real: -0.012454 Loss_D_fake 0.009650
[937/5000][300/535][96577] Loss_D: -0.024335 Loss_G: 0.001984 Loss_D_real: -0.017877 Loss_D_fake 0.006458
[937/5000][305/535][96578] Loss_D: -0.020782 Loss_G: 0.020581 Loss_D_real: -0.031538 Loss_D_fake -0.010756
[937/5000][310/535][96579] Loss_D: -0.022442 Loss_G: -0.006301 Loss_D_real: -0.007890 Loss_D_fake 0.014552
[937/5000][315/535][96580] Loss_D: -0.022626 Loss_G: 0.016981 Loss_D_real: -0.027978 Loss_D_fake -0.005351
[937/5000][320/535][96581] Loss_D: -0.022230 Loss_G: 0.017721 Loss_D_real: -0.022941 Loss_D_fake -0.000711
[937/5000][325/535][96582] Loss_D: -0.021535 Loss_G: 0.022348 Loss_D_real: -0.027395 Loss_D_fake -0.005860
[937/5000][330/535][96583] Loss_D: -0.021445 Loss_G: 0.007583 Loss_D_real: -0.018198 Loss_D_fake 0.003246
[937/5000][335/535][96584] Loss_D: -0.022234 Loss_G: 0.001705 Loss_D_real: -0.007394 Loss_D_fake 0.014840
[937/5000][340/535][96585] Loss_D: -0.020672 Loss_G: 0.026456 Loss_D_real: -0.029634 Loss_D_fake -0.008962
[937/5000][345/535][96586] Loss_D: -0.022628 Loss_G: 0.001365 Loss_D_real: -0.017708 Loss_D_fake 0.004920
[937/5000][350/535][96587] Loss_D: -0.022791 Loss_G: -0.004282 Loss_D_real: -0.018235 Loss_D_fake 0.004556
[937/5000][355/535][96588] Loss_D: -0.022500 Loss_G: 0.006452 Loss_D_real: -0.006570 Loss_D_fake 0.015931
[937/5000][360/535][96589] Loss_D: -0.023358 Loss_G: -0.015779 Loss_D_real: -0.002854 Loss_D_fake 0.020504
[937/5000][365/535][96590] Loss_D: -0.021802 Loss_G: 0.021297 Loss_D_real: -0.025239 Loss_D_fake -0.003437
[937/5000][370/535][96591] Loss_D: -0.022508 Loss_G: 0.012788 Loss_D_real: -0.015256 Loss_D_fake 0.007252
[937/5000][375/535][96592] Loss_D: -0.022766 Loss_G: -0.013421 Loss_D_real: -0.016013 Loss_D_fake 0.006753
[937/5000][380/535][96593] Loss_D: -0.022353 Loss_G: 0.015997 Loss_D_real: -0.031927 Loss_D_fake -0.009574
[937/5000][385/535][96594] Loss_D: -0.022394 Loss_G: 0.001478 Loss_D_real: 0.000305 Loss_D_fake 0.022699
[937/5000][390/535][96595] Loss_D: -0.022547 Loss_G: -0.000020 Loss_D_real: -0.026179 Loss_D_fake -0.003632
[937/5000][395/535][96596] Loss_D: -0.021427 Loss_G: 0.005951 Loss_D_real: -0.004482 Loss_D_fake 0.016945
[937/5000][400/535][96597] Loss_D: -0.023357 Loss_G: 0.008347 Loss_D_real: -0.012077 Loss_D_fake 0.011281
[937/5000][405/535][96598] Loss_D: -0.023678 Loss_G: -0.014190 Loss_D_real: -0.016830 Loss_D_fake 0.006847
[937/5000][410/535][96599] Loss_D: -0.022384 Loss_G: 0.012317 Loss_D_real: -0.023569 Loss_D_fake -0.001185
[937/5000][415/535][96600] Loss_D: -0.022334 Loss_G: -0.000400 Loss_D_real: -0.011777 Loss_D_fake 0.010556
[937/5000][420/535][96601] Loss_D: -0.023001 Loss_G: 0.008121 Loss_D_real: -0.011969 Loss_D_fake 0.011032
[937/5000][425/535][96602] Loss_D: -0.022332 Loss_G: -0.000188 Loss_D_real: -0.025291 Loss_D_fake -0.002959
[937/5000][430/535][96603] Loss_D: -0.020370 Loss_G: 0.020054 Loss_D_real: -0.026105 Loss_D_fake -0.005735
[937/5000][435/535][96604] Loss_D: -0.020741 Loss_G: 0.030036 Loss_D_real: -0.024064 Loss_D_fake -0.003324
[937/5000][440/535][96605] Loss_D: -0.021248 Loss_G: -0.004878 Loss_D_real: -0.014640 Loss_D_fake 0.006608
[937/5000][445/535][96606] Loss_D: -0.020419 Loss_G: 0.012345 Loss_D_real: -0.013182 Loss_D_fake 0.007237
[937/5000][450/535][96607] Loss_D: -0.023004 Loss_G: 0.008913 Loss_D_real: -0.021795 Loss_D_fake 0.001209
[937/5000][455/535][96608] Loss_D: -0.021419 Loss_G: 0.003380 Loss_D_real: -0.015639 Loss_D_fake 0.005780
[937/5000][460/535][96609] Loss_D: -0.022016 Loss_G: 0.001447 Loss_D_real: -0.023694 Loss_D_fake -0.001678
[937/5000][465/535][96610] Loss_D: -0.021610 Loss_G: 0.017567 Loss_D_real: -0.034691 Loss_D_fake -0.013081
[937/5000][470/535][96611] Loss_D: -0.021478 Loss_G: -0.004995 Loss_D_real: 0.007370 Loss_D_fake 0.028848
[937/5000][475/535][96612] Loss_D: -0.022205 Loss_G: 0.011952 Loss_D_real: -0.030260 Loss_D_fake -0.008055
[937/5000][480/535][96613] Loss_D: -0.022342 Loss_G: 0.012932 Loss_D_real: -0.023871 Loss_D_fake -0.001529
[937/5000][485/535][96614] Loss_D: -0.022919 Loss_G: -0.011388 Loss_D_real: -0.011345 Loss_D_fake 0.011574
[937/5000][490/535][96615] Loss_D: -0.022280 Loss_G: 0.024845 Loss_D_real: -0.028414 Loss_D_fake -0.006134
[937/5000][495/535][96616] Loss_D: -0.022519 Loss_G: -0.012074 Loss_D_real: -0.009644 Loss_D_fake 0.012875
[937/5000][500/535][96617] Loss_D: -0.021317 Loss_G: 0.015855 Loss_D_real: -0.027487 Loss_D_fake -0.006170
[937/5000][505/535][96618] Loss_D: -0.023862 Loss_G: 0.003541 Loss_D_real: -0.017845 Loss_D_fake 0.006017
[937/5000][510/535][96619] Loss_D: -0.021740 Loss_G: -0.015967 Loss_D_real: 0.000427 Loss_D_fake 0.022167
[937/5000][515/535][96620] Loss_D: -0.022242 Loss_G: 0.019336 Loss_D_real: -0.026563 Loss_D_fake -0.004321
[937/5000][520/535][96621] Loss_D: -0.023822 Loss_G: 0.009044 Loss_D_real: -0.014312 Loss_D_fake 0.009511
[937/5000][525/535][96622] Loss_D: -0.021934 Loss_G: 0.023841 Loss_D_real: -0.029329 Loss_D_fake -0.007396
[937/5000][530/535][96623] Loss_D: -0.022443 Loss_G: 0.005317 Loss_D_real: -0.012630 Loss_D_fake 0.009814
[937/5000][535/535][96624] Loss_D: -0.022680 Loss_G: 0.014764 Loss_D_real: -0.024514 Loss_D_fake -0.001835
[938/5000][5/535][96625] Loss_D: -0.024564 Loss_G: 0.019737 Loss_D_real: -0.022075 Loss_D_fake 0.002488
[938/5000][10/535][96626] Loss_D: -0.022185 Loss_G: -0.009384 Loss_D_real: -0.004034 Loss_D_fake 0.018151
[938/5000][15/535][96627] Loss_D: -0.022516 Loss_G: 0.005093 Loss_D_real: -0.019822 Loss_D_fake 0.002694
[938/5000][20/535][96628] Loss_D: -0.023280 Loss_G: -0.001473 Loss_D_real: -0.014749 Loss_D_fake 0.008531
[938/5000][25/535][96629] Loss_D: -0.022089 Loss_G: 0.006496 Loss_D_real: -0.029449 Loss_D_fake -0.007360
[938/5000][30/535][96630] Loss_D: -0.022785 Loss_G: 0.005639 Loss_D_real: -0.012239 Loss_D_fake 0.010546
[938/5000][35/535][96631] Loss_D: -0.022741 Loss_G: 0.000168 Loss_D_real: -0.011006 Loss_D_fake 0.011735
[938/5000][40/535][96632] Loss_D: -0.022510 Loss_G: 0.010314 Loss_D_real: -0.029664 Loss_D_fake -0.007154
[938/5000][45/535][96633] Loss_D: -0.021806 Loss_G: 0.027760 Loss_D_real: -0.021961 Loss_D_fake -0.000155
[938/5000][50/535][96634] Loss_D: -0.023122 Loss_G: 0.002069 Loss_D_real: -0.018448 Loss_D_fake 0.004675
[938/5000][55/535][96635] Loss_D: -0.022577 Loss_G: -0.007461 Loss_D_real: -0.024145 Loss_D_fake -0.001568
[938/5000][60/535][96636] Loss_D: -0.023562 Loss_G: 0.021519 Loss_D_real: -0.019339 Loss_D_fake 0.004222
[938/5000][65/535][96637] Loss_D: -0.020603 Loss_G: 0.025696 Loss_D_real: -0.033827 Loss_D_fake -0.013224
[938/5000][70/535][96638] Loss_D: -0.023118 Loss_G: 0.008752 Loss_D_real: -0.018838 Loss_D_fake 0.004279
[938/5000][75/535][96639] Loss_D: -0.021218 Loss_G: 0.014717 Loss_D_real: -0.025424 Loss_D_fake -0.004207
[938/5000][80/535][96640] Loss_D: -0.022616 Loss_G: 0.021667 Loss_D_real: -0.033092 Loss_D_fake -0.010476
[938/5000][85/535][96641] Loss_D: -0.022480 Loss_G: 0.006999 Loss_D_real: -0.027181 Loss_D_fake -0.004701
[938/5000][90/535][96642] Loss_D: -0.022649 Loss_G: 0.009183 Loss_D_real: -0.021704 Loss_D_fake 0.000944
[938/5000][95/535][96643] Loss_D: -0.022300 Loss_G: 0.000920 Loss_D_real: -0.013998 Loss_D_fake 0.008302
[938/5000][100/535][96644] Loss_D: -0.023041 Loss_G: 0.008057 Loss_D_real: -0.018761 Loss_D_fake 0.004280
[938/5000][105/535][96645] Loss_D: -0.021802 Loss_G: -0.005283 Loss_D_real: -0.017308 Loss_D_fake 0.004494
[938/5000][110/535][96646] Loss_D: -0.022072 Loss_G: 0.001074 Loss_D_real: -0.012993 Loss_D_fake 0.009080
[938/5000][115/535][96647] Loss_D: -0.022837 Loss_G: 0.016619 Loss_D_real: -0.021411 Loss_D_fake 0.001427
[938/5000][120/535][96648] Loss_D: -0.021315 Loss_G: 0.015602 Loss_D_real: -0.032028 Loss_D_fake -0.010714
[938/5000][125/535][96649] Loss_D: -0.021803 Loss_G: 0.007440 Loss_D_real: -0.017844 Loss_D_fake 0.003959
[938/5000][130/535][96650] Loss_D: -0.021143 Loss_G: 0.008259 Loss_D_real: -0.019756 Loss_D_fake 0.001386
[938/5000][135/535][96651] Loss_D: -0.020470 Loss_G: 0.019962 Loss_D_real: -0.036925 Loss_D_fake -0.016455
[938/5000][140/535][96652] Loss_D: -0.023043 Loss_G: 0.013054 Loss_D_real: -0.006187 Loss_D_fake 0.016857
[938/5000][145/535][96653] Loss_D: -0.022411 Loss_G: -0.002079 Loss_D_real: -0.013780 Loss_D_fake 0.008631
[938/5000][150/535][96654] Loss_D: -0.023488 Loss_G: 0.002820 Loss_D_real: -0.016320 Loss_D_fake 0.007168
[938/5000][155/535][96655] Loss_D: -0.021981 Loss_G: 0.021209 Loss_D_real: -0.028197 Loss_D_fake -0.006216
[938/5000][160/535][96656] Loss_D: -0.022063 Loss_G: 0.017365 Loss_D_real: -0.026233 Loss_D_fake -0.004170
[938/5000][165/535][96657] Loss_D: -0.021280 Loss_G: -0.003226 Loss_D_real: -0.018657 Loss_D_fake 0.002623
[938/5000][170/535][96658] Loss_D: -0.023907 Loss_G: 0.007210 Loss_D_real: -0.011515 Loss_D_fake 0.012392
[938/5000][175/535][96659] Loss_D: -0.021897 Loss_G: 0.019817 Loss_D_real: -0.031906 Loss_D_fake -0.010009
[938/5000][180/535][96660] Loss_D: -0.023087 Loss_G: 0.009688 Loss_D_real: -0.021811 Loss_D_fake 0.001277
[938/5000][185/535][96661] Loss_D: -0.020667 Loss_G: 0.018048 Loss_D_real: -0.039825 Loss_D_fake -0.019158
[938/5000][190/535][96662] Loss_D: -0.021909 Loss_G: -0.005584 Loss_D_real: -0.009357 Loss_D_fake 0.012552
[938/5000][195/535][96663] Loss_D: -0.021759 Loss_G: 0.008337 Loss_D_real: -0.027570 Loss_D_fake -0.005811
[938/5000][200/535][96664] Loss_D: -0.024049 Loss_G: 0.013972 Loss_D_real: -0.023531 Loss_D_fake 0.000517
[938/5000][205/535][96665] Loss_D: -0.023275 Loss_G: 0.019403 Loss_D_real: -0.019257 Loss_D_fake 0.004018
[938/5000][210/535][96666] Loss_D: -0.023063 Loss_G: -0.005946 Loss_D_real: -0.013052 Loss_D_fake 0.010010
[938/5000][215/535][96667] Loss_D: -0.023533 Loss_G: 0.010058 Loss_D_real: -0.016970 Loss_D_fake 0.006562
[938/5000][220/535][96668] Loss_D: -0.022101 Loss_G: 0.014148 Loss_D_real: -0.027208 Loss_D_fake -0.005107
[938/5000][225/535][96669] Loss_D: -0.022208 Loss_G: 0.017562 Loss_D_real: -0.024781 Loss_D_fake -0.002573
[938/5000][230/535][96670] Loss_D: -0.021991 Loss_G: 0.014674 Loss_D_real: -0.025711 Loss_D_fake -0.003720
[938/5000][235/535][96671] Loss_D: -0.022156 Loss_G: -0.000100 Loss_D_real: -0.009929 Loss_D_fake 0.012227
[938/5000][240/535][96672] Loss_D: -0.022815 Loss_G: 0.023741 Loss_D_real: -0.024570 Loss_D_fake -0.001755
[938/5000][245/535][96673] Loss_D: -0.021409 Loss_G: 0.008100 Loss_D_real: -0.009831 Loss_D_fake 0.011578
[938/5000][250/535][96674] Loss_D: -0.022004 Loss_G: 0.020236 Loss_D_real: -0.026310 Loss_D_fake -0.004306
[938/5000][255/535][96675] Loss_D: -0.023326 Loss_G: 0.016840 Loss_D_real: -0.033824 Loss_D_fake -0.010498
[938/5000][260/535][96676] Loss_D: -0.021653 Loss_G: 0.003213 Loss_D_real: -0.022778 Loss_D_fake -0.001126
[938/5000][265/535][96677] Loss_D: -0.021299 Loss_G: 0.007742 Loss_D_real: -0.019228 Loss_D_fake 0.002071
[938/5000][270/535][96678] Loss_D: -0.022615 Loss_G: -0.010163 Loss_D_real: -0.014971 Loss_D_fake 0.007644
[938/5000][275/535][96679] Loss_D: -0.021467 Loss_G: 0.005975 Loss_D_real: -0.013536 Loss_D_fake 0.007931
[938/5000][280/535][96680] Loss_D: -0.022084 Loss_G: -0.013061 Loss_D_real: -0.005129 Loss_D_fake 0.016955
[938/5000][285/535][96681] Loss_D: -0.021622 Loss_G: -0.000967 Loss_D_real: -0.008745 Loss_D_fake 0.012877
[938/5000][290/535][96682] Loss_D: -0.022495 Loss_G: -0.003600 Loss_D_real: -0.019479 Loss_D_fake 0.003016
[938/5000][295/535][96683] Loss_D: -0.022106 Loss_G: 0.017202 Loss_D_real: -0.024418 Loss_D_fake -0.002313
[938/5000][300/535][96684] Loss_D: -0.021059 Loss_G: -0.001345 Loss_D_real: -0.019174 Loss_D_fake 0.001885
[938/5000][305/535][96685] Loss_D: -0.022326 Loss_G: 0.015262 Loss_D_real: -0.018980 Loss_D_fake 0.003345
[938/5000][310/535][96686] Loss_D: -0.022147 Loss_G: -0.012743 Loss_D_real: -0.010988 Loss_D_fake 0.011159
[938/5000][315/535][96687] Loss_D: -0.020667 Loss_G: 0.019932 Loss_D_real: -0.026566 Loss_D_fake -0.005900
[938/5000][320/535][96688] Loss_D: -0.021632 Loss_G: 0.020350 Loss_D_real: -0.030396 Loss_D_fake -0.008764
[938/5000][325/535][96689] Loss_D: -0.023544 Loss_G: 0.013741 Loss_D_real: -0.023070 Loss_D_fake 0.000474
[938/5000][330/535][96690] Loss_D: -0.022943 Loss_G: -0.004794 Loss_D_real: -0.011459 Loss_D_fake 0.011484
[938/5000][335/535][96691] Loss_D: -0.023079 Loss_G: 0.004971 Loss_D_real: -0.013562 Loss_D_fake 0.009517
[938/5000][340/535][96692] Loss_D: -0.023454 Loss_G: -0.010786 Loss_D_real: -0.015411 Loss_D_fake 0.008043
[938/5000][345/535][96693] Loss_D: -0.022308 Loss_G: -0.000366 Loss_D_real: -0.004803 Loss_D_fake 0.017505
[938/5000][350/535][96694] Loss_D: -0.021985 Loss_G: 0.009742 Loss_D_real: -0.032175 Loss_D_fake -0.010191
[938/5000][355/535][96695] Loss_D: -0.021602 Loss_G: 0.014335 Loss_D_real: -0.018523 Loss_D_fake 0.003079
[938/5000][360/535][96696] Loss_D: -0.023615 Loss_G: 0.000030 Loss_D_real: -0.012459 Loss_D_fake 0.011157
[938/5000][365/535][96697] Loss_D: -0.022578 Loss_G: 0.003353 Loss_D_real: -0.015871 Loss_D_fake 0.006706
[938/5000][370/535][96698] Loss_D: -0.022376 Loss_G: -0.002195 Loss_D_real: -0.017319 Loss_D_fake 0.005057
[938/5000][375/535][96699] Loss_D: -0.020393 Loss_G: -0.000055 Loss_D_real: -0.018406 Loss_D_fake 0.001987
[938/5000][380/535][96700] Loss_D: -0.019689 Loss_G: -0.017489 Loss_D_real: -0.003626 Loss_D_fake 0.016063
[938/5000][385/535][96701] Loss_D: -0.021672 Loss_G: 0.015070 Loss_D_real: -0.028438 Loss_D_fake -0.006766
[938/5000][390/535][96702] Loss_D: -0.022988 Loss_G: -0.007234 Loss_D_real: -0.010718 Loss_D_fake 0.012270
[938/5000][395/535][96703] Loss_D: -0.021683 Loss_G: 0.033546 Loss_D_real: -0.031920 Loss_D_fake -0.010237
[938/5000][400/535][96704] Loss_D: -0.022080 Loss_G: -0.011416 Loss_D_real: -0.008308 Loss_D_fake 0.013772
[938/5000][405/535][96705] Loss_D: -0.023852 Loss_G: -0.000846 Loss_D_real: -0.017547 Loss_D_fake 0.006305
[938/5000][410/535][96706] Loss_D: -0.022415 Loss_G: -0.001862 Loss_D_real: -0.004721 Loss_D_fake 0.017694
[938/5000][415/535][96707] Loss_D: -0.022812 Loss_G: 0.006133 Loss_D_real: -0.021322 Loss_D_fake 0.001491
[938/5000][420/535][96708] Loss_D: -0.022486 Loss_G: 0.025078 Loss_D_real: -0.031070 Loss_D_fake -0.008584
[938/5000][425/535][96709] Loss_D: -0.021305 Loss_G: -0.008317 Loss_D_real: -0.006506 Loss_D_fake 0.014800
[938/5000][430/535][96710] Loss_D: -0.022532 Loss_G: 0.009038 Loss_D_real: -0.022465 Loss_D_fake 0.000068
[938/5000][435/535][96711] Loss_D: -0.023112 Loss_G: 0.022325 Loss_D_real: -0.021263 Loss_D_fake 0.001849
[938/5000][440/535][96712] Loss_D: -0.022454 Loss_G: -0.006873 Loss_D_real: -0.015211 Loss_D_fake 0.007243
[938/5000][445/535][96713] Loss_D: -0.022352 Loss_G: 0.013332 Loss_D_real: -0.020079 Loss_D_fake 0.002273
[938/5000][450/535][96714] Loss_D: -0.022459 Loss_G: 0.016916 Loss_D_real: -0.029723 Loss_D_fake -0.007264
[938/5000][455/535][96715] Loss_D: -0.023677 Loss_G: 0.005127 Loss_D_real: -0.013176 Loss_D_fake 0.010501
[938/5000][460/535][96716] Loss_D: -0.023074 Loss_G: 0.006794 Loss_D_real: -0.030290 Loss_D_fake -0.007216
[938/5000][465/535][96717] Loss_D: -0.022443 Loss_G: -0.012900 Loss_D_real: 0.001789 Loss_D_fake 0.024232
[938/5000][470/535][96718] Loss_D: -0.022553 Loss_G: 0.009689 Loss_D_real: -0.029306 Loss_D_fake -0.006753
[938/5000][475/535][96719] Loss_D: -0.022956 Loss_G: 0.009909 Loss_D_real: -0.014516 Loss_D_fake 0.008440
[938/5000][480/535][96720] Loss_D: -0.024089 Loss_G: 0.000789 Loss_D_real: -0.003031 Loss_D_fake 0.021058
[938/5000][485/535][96721] Loss_D: -0.021862 Loss_G: -0.004999 Loss_D_real: -0.008710 Loss_D_fake 0.013152
[938/5000][490/535][96722] Loss_D: -0.021679 Loss_G: 0.017076 Loss_D_real: -0.035231 Loss_D_fake -0.013552
[938/5000][495/535][96723] Loss_D: -0.022506 Loss_G: 0.011201 Loss_D_real: -0.029377 Loss_D_fake -0.006871
[938/5000][500/535][96724] Loss_D: -0.021912 Loss_G: -0.002207 Loss_D_real: -0.010902 Loss_D_fake 0.011010
[938/5000][505/535][96725] Loss_D: -0.021994 Loss_G: -0.001470 Loss_D_real: -0.022280 Loss_D_fake -0.000286
[938/5000][510/535][96726] Loss_D: -0.021695 Loss_G: 0.011739 Loss_D_real: -0.022491 Loss_D_fake -0.000796
[938/5000][515/535][96727] Loss_D: -0.023812 Loss_G: 0.008774 Loss_D_real: -0.024382 Loss_D_fake -0.000570
[938/5000][520/535][96728] Loss_D: -0.021416 Loss_G: 0.010797 Loss_D_real: -0.019425 Loss_D_fake 0.001991
[938/5000][525/535][96729] Loss_D: -0.022776 Loss_G: 0.006593 Loss_D_real: -0.017841 Loss_D_fake 0.004934
[938/5000][530/535][96730] Loss_D: -0.021140 Loss_G: 0.009053 Loss_D_real: -0.018662 Loss_D_fake 0.002478
[938/5000][535/535][96731] Loss_D: -0.022621 Loss_G: 0.013176 Loss_D_real: -0.010060 Loss_D_fake 0.012562
[939/5000][5/535][96732] Loss_D: -0.022735 Loss_G: -0.017090 Loss_D_real: -0.008147 Loss_D_fake 0.014588
[939/5000][10/535][96733] Loss_D: -0.023039 Loss_G: 0.010968 Loss_D_real: -0.024583 Loss_D_fake -0.001544
[939/5000][15/535][96734] Loss_D: -0.022561 Loss_G: 0.014868 Loss_D_real: -0.022317 Loss_D_fake 0.000244
[939/5000][20/535][96735] Loss_D: -0.023110 Loss_G: 0.000137 Loss_D_real: -0.018794 Loss_D_fake 0.004317
[939/5000][25/535][96736] Loss_D: -0.022653 Loss_G: 0.008106 Loss_D_real: -0.025371 Loss_D_fake -0.002718
[939/5000][30/535][96737] Loss_D: -0.021935 Loss_G: -0.011748 Loss_D_real: -0.019470 Loss_D_fake 0.002464
[939/5000][35/535][96738] Loss_D: -0.022779 Loss_G: 0.012179 Loss_D_real: -0.023342 Loss_D_fake -0.000564
[939/5000][40/535][96739] Loss_D: -0.021346 Loss_G: 0.036211 Loss_D_real: -0.036813 Loss_D_fake -0.015467
[939/5000][45/535][96740] Loss_D: -0.023276 Loss_G: 0.015330 Loss_D_real: -0.022481 Loss_D_fake 0.000795
[939/5000][50/535][96741] Loss_D: -0.022943 Loss_G: 0.003004 Loss_D_real: -0.022607 Loss_D_fake 0.000337
[939/5000][55/535][96742] Loss_D: -0.022961 Loss_G: -0.004277 Loss_D_real: -0.007760 Loss_D_fake 0.015200
[939/5000][60/535][96743] Loss_D: -0.021697 Loss_G: 0.012300 Loss_D_real: -0.025594 Loss_D_fake -0.003897
[939/5000][65/535][96744] Loss_D: -0.022236 Loss_G: 0.001909 Loss_D_real: -0.008270 Loss_D_fake 0.013966
[939/5000][70/535][96745] Loss_D: -0.023290 Loss_G: 0.002939 Loss_D_real: -0.011003 Loss_D_fake 0.012287
[939/5000][75/535][96746] Loss_D: -0.022279 Loss_G: 0.012646 Loss_D_real: -0.018161 Loss_D_fake 0.004118
[939/5000][80/535][96747] Loss_D: -0.023289 Loss_G: 0.009311 Loss_D_real: -0.030728 Loss_D_fake -0.007439
[939/5000][85/535][96748] Loss_D: -0.023735 Loss_G: 0.010636 Loss_D_real: -0.020786 Loss_D_fake 0.002949
[939/5000][90/535][96749] Loss_D: -0.022610 Loss_G: 0.006637 Loss_D_real: -0.015524 Loss_D_fake 0.007086
[939/5000][95/535][96750] Loss_D: -0.023783 Loss_G: 0.015611 Loss_D_real: -0.020155 Loss_D_fake 0.003628
[939/5000][100/535][96751] Loss_D: -0.023216 Loss_G: 0.003910 Loss_D_real: -0.019208 Loss_D_fake 0.004008
[939/5000][105/535][96752] Loss_D: -0.022616 Loss_G: 0.010741 Loss_D_real: -0.014937 Loss_D_fake 0.007679
[939/5000][110/535][96753] Loss_D: -0.022818 Loss_G: 0.013611 Loss_D_real: -0.020472 Loss_D_fake 0.002345
[939/5000][115/535][96754] Loss_D: -0.022795 Loss_G: 0.013155 Loss_D_real: -0.023731 Loss_D_fake -0.000936
[939/5000][120/535][96755] Loss_D: -0.022316 Loss_G: 0.015930 Loss_D_real: -0.018490 Loss_D_fake 0.003827
[939/5000][125/535][96756] Loss_D: -0.022165 Loss_G: 0.012357 Loss_D_real: -0.017730 Loss_D_fake 0.004435
[939/5000][130/535][96757] Loss_D: -0.023413 Loss_G: 0.005697 Loss_D_real: -0.021239 Loss_D_fake 0.002174
[939/5000][135/535][96758] Loss_D: -0.021079 Loss_G: -0.004523 Loss_D_real: -0.009804 Loss_D_fake 0.011275
[939/5000][140/535][96759] Loss_D: -0.022761 Loss_G: 0.015666 Loss_D_real: -0.025413 Loss_D_fake -0.002652
[939/5000][145/535][96760] Loss_D: -0.022284 Loss_G: 0.013463 Loss_D_real: -0.032955 Loss_D_fake -0.010671
[939/5000][150/535][96761] Loss_D: -0.022864 Loss_G: 0.004503 Loss_D_real: -0.012900 Loss_D_fake 0.009965
[939/5000][155/535][96762] Loss_D: -0.021551 Loss_G: -0.006828 Loss_D_real: -0.013789 Loss_D_fake 0.007761
[939/5000][160/535][96763] Loss_D: -0.022957 Loss_G: 0.006964 Loss_D_real: -0.030001 Loss_D_fake -0.007044
[939/5000][165/535][96764] Loss_D: -0.021733 Loss_G: 0.002495 Loss_D_real: -0.010386 Loss_D_fake 0.011347
[939/5000][170/535][96765] Loss_D: -0.022548 Loss_G: -0.002929 Loss_D_real: -0.018333 Loss_D_fake 0.004215
[939/5000][175/535][96766] Loss_D: -0.023378 Loss_G: 0.019967 Loss_D_real: -0.021075 Loss_D_fake 0.002303
[939/5000][180/535][96767] Loss_D: -0.022490 Loss_G: 0.026319 Loss_D_real: -0.031454 Loss_D_fake -0.008964
[939/5000][185/535][96768] Loss_D: -0.022806 Loss_G: 0.000086 Loss_D_real: -0.004285 Loss_D_fake 0.018521
[939/5000][190/535][96769] Loss_D: -0.022917 Loss_G: 0.002921 Loss_D_real: -0.011066 Loss_D_fake 0.011851
[939/5000][195/535][96770] Loss_D: -0.021905 Loss_G: 0.031492 Loss_D_real: -0.036902 Loss_D_fake -0.014997
[939/5000][200/535][96771] Loss_D: -0.021353 Loss_G: 0.003203 Loss_D_real: -0.022889 Loss_D_fake -0.001535
[939/5000][205/535][96772] Loss_D: -0.023762 Loss_G: -0.006963 Loss_D_real: -0.021947 Loss_D_fake 0.001815
[939/5000][210/535][96773] Loss_D: -0.022708 Loss_G: 0.018764 Loss_D_real: -0.030727 Loss_D_fake -0.008019
[939/5000][215/535][96774] Loss_D: -0.022935 Loss_G: 0.026429 Loss_D_real: -0.025832 Loss_D_fake -0.002896
[939/5000][220/535][96775] Loss_D: -0.022549 Loss_G: 0.012501 Loss_D_real: -0.024062 Loss_D_fake -0.001513
[939/5000][225/535][96776] Loss_D: -0.022718 Loss_G: 0.017271 Loss_D_real: -0.019406 Loss_D_fake 0.003312
[939/5000][230/535][96777] Loss_D: -0.022419 Loss_G: -0.000728 Loss_D_real: -0.014340 Loss_D_fake 0.008079
[939/5000][235/535][96778] Loss_D: -0.022461 Loss_G: 0.011899 Loss_D_real: -0.019976 Loss_D_fake 0.002485
[939/5000][240/535][96779] Loss_D: -0.022411 Loss_G: 0.017335 Loss_D_real: -0.017796 Loss_D_fake 0.004615
[939/5000][245/535][96780] Loss_D: -0.022636 Loss_G: 0.000836 Loss_D_real: -0.013847 Loss_D_fake 0.008789
[939/5000][250/535][96781] Loss_D: -0.022397 Loss_G: 0.007999 Loss_D_real: -0.028269 Loss_D_fake -0.005873
[939/5000][255/535][96782] Loss_D: -0.022613 Loss_G: 0.017533 Loss_D_real: -0.024193 Loss_D_fake -0.001580
[939/5000][260/535][96783] Loss_D: -0.021659 Loss_G: 0.005462 Loss_D_real: -0.016634 Loss_D_fake 0.005025
[939/5000][265/535][96784] Loss_D: -0.022744 Loss_G: 0.000960 Loss_D_real: -0.015879 Loss_D_fake 0.006864
[939/5000][270/535][96785] Loss_D: -0.022821 Loss_G: 0.020720 Loss_D_real: -0.010385 Loss_D_fake 0.012436
[939/5000][275/535][96786] Loss_D: -0.021811 Loss_G: -0.000841 Loss_D_real: -0.017813 Loss_D_fake 0.003998
[939/5000][280/535][96787] Loss_D: -0.022667 Loss_G: 0.012142 Loss_D_real: -0.026232 Loss_D_fake -0.003566
[939/5000][285/535][96788] Loss_D: -0.022411 Loss_G: 0.001894 Loss_D_real: -0.009518 Loss_D_fake 0.012892
[939/5000][290/535][96789] Loss_D: -0.023075 Loss_G: -0.001677 Loss_D_real: -0.017117 Loss_D_fake 0.005958
[939/5000][295/535][96790] Loss_D: -0.021977 Loss_G: 0.009390 Loss_D_real: -0.013423 Loss_D_fake 0.008554
[939/5000][300/535][96791] Loss_D: -0.021405 Loss_G: 0.013121 Loss_D_real: -0.013744 Loss_D_fake 0.007661
[939/5000][305/535][96792] Loss_D: -0.022592 Loss_G: -0.000281 Loss_D_real: -0.015254 Loss_D_fake 0.007338
[939/5000][310/535][96793] Loss_D: -0.021223 Loss_G: 0.010456 Loss_D_real: -0.028948 Loss_D_fake -0.007725
[939/5000][315/535][96794] Loss_D: -0.021831 Loss_G: 0.017139 Loss_D_real: -0.023492 Loss_D_fake -0.001661
[939/5000][320/535][96795] Loss_D: -0.022429 Loss_G: 0.005157 Loss_D_real: -0.013917 Loss_D_fake 0.008513
[939/5000][325/535][96796] Loss_D: -0.021681 Loss_G: 0.009787 Loss_D_real: -0.026612 Loss_D_fake -0.004930
[939/5000][330/535][96797] Loss_D: -0.022603 Loss_G: 0.013396 Loss_D_real: -0.037830 Loss_D_fake -0.015228
[939/5000][335/535][96798] Loss_D: -0.022984 Loss_G: 0.002201 Loss_D_real: -0.014653 Loss_D_fake 0.008332
[939/5000][340/535][96799] Loss_D: -0.022077 Loss_G: 0.019437 Loss_D_real: -0.031159 Loss_D_fake -0.009082
[939/5000][345/535][96800] Loss_D: -0.021432 Loss_G: 0.009199 Loss_D_real: -0.012272 Loss_D_fake 0.009160
[939/5000][350/535][96801] Loss_D: -0.022305 Loss_G: 0.017326 Loss_D_real: -0.040284 Loss_D_fake -0.017979
[939/5000][355/535][96802] Loss_D: -0.020516 Loss_G: -0.017022 Loss_D_real: -0.002058 Loss_D_fake 0.018458
[939/5000][360/535][96803] Loss_D: -0.022585 Loss_G: 0.017219 Loss_D_real: -0.031382 Loss_D_fake -0.008798
[939/5000][365/535][96804] Loss_D: -0.021366 Loss_G: 0.013447 Loss_D_real: -0.011367 Loss_D_fake 0.009999
[939/5000][370/535][96805] Loss_D: -0.023094 Loss_G: 0.011558 Loss_D_real: -0.020313 Loss_D_fake 0.002781
[939/5000][375/535][96806] Loss_D: -0.022091 Loss_G: -0.004266 Loss_D_real: -0.004612 Loss_D_fake 0.017480
[939/5000][380/535][96807] Loss_D: -0.023234 Loss_G: 0.005547 Loss_D_real: -0.021994 Loss_D_fake 0.001240
[939/5000][385/535][96808] Loss_D: -0.022380 Loss_G: 0.010348 Loss_D_real: -0.009600 Loss_D_fake 0.012780
[939/5000][390/535][96809] Loss_D: -0.022212 Loss_G: 0.004959 Loss_D_real: -0.025005 Loss_D_fake -0.002793
[939/5000][395/535][96810] Loss_D: -0.021795 Loss_G: -0.004876 Loss_D_real: -0.017284 Loss_D_fake 0.004512
[939/5000][400/535][96811] Loss_D: -0.023188 Loss_G: 0.010564 Loss_D_real: -0.012767 Loss_D_fake 0.010421
[939/5000][405/535][96812] Loss_D: -0.022564 Loss_G: 0.011475 Loss_D_real: -0.033515 Loss_D_fake -0.010951
[939/5000][410/535][96813] Loss_D: -0.021158 Loss_G: 0.006464 Loss_D_real: -0.006009 Loss_D_fake 0.015149
[939/5000][415/535][96814] Loss_D: -0.022188 Loss_G: 0.014776 Loss_D_real: -0.026060 Loss_D_fake -0.003873
[939/5000][420/535][96815] Loss_D: -0.022276 Loss_G: 0.011424 Loss_D_real: -0.018784 Loss_D_fake 0.003492
[939/5000][425/535][96816] Loss_D: -0.021839 Loss_G: 0.001510 Loss_D_real: -0.013838 Loss_D_fake 0.008001
[939/5000][430/535][96817] Loss_D: -0.022590 Loss_G: 0.010493 Loss_D_real: -0.019780 Loss_D_fake 0.002810
[939/5000][435/535][96818] Loss_D: -0.023597 Loss_G: 0.013133 Loss_D_real: -0.018811 Loss_D_fake 0.004786
[939/5000][440/535][96819] Loss_D: -0.022508 Loss_G: 0.008983 Loss_D_real: -0.016672 Loss_D_fake 0.005836
[939/5000][445/535][96820] Loss_D: -0.022514 Loss_G: 0.016415 Loss_D_real: -0.025720 Loss_D_fake -0.003207
[939/5000][450/535][96821] Loss_D: -0.020647 Loss_G: 0.024519 Loss_D_real: -0.021754 Loss_D_fake -0.001108
[939/5000][455/535][96822] Loss_D: -0.020769 Loss_G: -0.017471 Loss_D_real: 0.004279 Loss_D_fake 0.025048
[939/5000][460/535][96823] Loss_D: -0.020811 Loss_G: 0.010797 Loss_D_real: -0.008256 Loss_D_fake 0.012555
[939/5000][465/535][96824] Loss_D: -0.022133 Loss_G: 0.017010 Loss_D_real: -0.020648 Loss_D_fake 0.001485
[939/5000][470/535][96825] Loss_D: -0.021735 Loss_G: 0.024064 Loss_D_real: -0.030812 Loss_D_fake -0.009077
[939/5000][475/535][96826] Loss_D: -0.022361 Loss_G: 0.007633 Loss_D_real: -0.009179 Loss_D_fake 0.013183
[939/5000][480/535][96827] Loss_D: -0.023138 Loss_G: 0.008784 Loss_D_real: -0.027474 Loss_D_fake -0.004336
[939/5000][485/535][96828] Loss_D: -0.022538 Loss_G: 0.008154 Loss_D_real: -0.015134 Loss_D_fake 0.007404
[939/5000][490/535][96829] Loss_D: -0.022151 Loss_G: -0.003091 Loss_D_real: -0.018778 Loss_D_fake 0.003374
[939/5000][495/535][96830] Loss_D: -0.022100 Loss_G: 0.015806 Loss_D_real: -0.024406 Loss_D_fake -0.002306
[939/5000][500/535][96831] Loss_D: -0.022606 Loss_G: 0.003509 Loss_D_real: -0.018433 Loss_D_fake 0.004174
[939/5000][505/535][96832] Loss_D: -0.022776 Loss_G: -0.006387 Loss_D_real: -0.002566 Loss_D_fake 0.020210
[939/5000][510/535][96833] Loss_D: -0.022151 Loss_G: 0.009344 Loss_D_real: -0.014472 Loss_D_fake 0.007679
[939/5000][515/535][96834] Loss_D: -0.022286 Loss_G: 0.003394 Loss_D_real: -0.017461 Loss_D_fake 0.004825
[939/5000][520/535][96835] Loss_D: -0.022762 Loss_G: 0.020396 Loss_D_real: -0.027122 Loss_D_fake -0.004360
[939/5000][525/535][96836] Loss_D: -0.022740 Loss_G: 0.016181 Loss_D_real: -0.019172 Loss_D_fake 0.003569
[939/5000][530/535][96837] Loss_D: -0.022412 Loss_G: -0.015146 Loss_D_real: -0.005308 Loss_D_fake 0.017104
[939/5000][535/535][96838] Loss_D: -0.021980 Loss_G: 0.019968 Loss_D_real: -0.019152 Loss_D_fake 0.002829
[940/5000][5/535][96839] Loss_D: -0.022978 Loss_G: -0.008509 Loss_D_real: -0.014714 Loss_D_fake 0.008264
[940/5000][10/535][96840] Loss_D: -0.022271 Loss_G: 0.003547 Loss_D_real: -0.013805 Loss_D_fake 0.008466
[940/5000][15/535][96841] Loss_D: -0.023050 Loss_G: -0.004723 Loss_D_real: -0.004602 Loss_D_fake 0.018449
[940/5000][20/535][96842] Loss_D: -0.022861 Loss_G: 0.001127 Loss_D_real: -0.019752 Loss_D_fake 0.003109
[940/5000][25/535][96843] Loss_D: -0.022992 Loss_G: 0.015867 Loss_D_real: -0.017769 Loss_D_fake 0.005224
[940/5000][30/535][96844] Loss_D: -0.022524 Loss_G: 0.007867 Loss_D_real: -0.017713 Loss_D_fake 0.004810
[940/5000][35/535][96845] Loss_D: -0.024427 Loss_G: -0.001363 Loss_D_real: -0.024728 Loss_D_fake -0.000301
[940/5000][40/535][96846] Loss_D: -0.022020 Loss_G: 0.020985 Loss_D_real: -0.018905 Loss_D_fake 0.003115
[940/5000][45/535][96847] Loss_D: -0.024790 Loss_G: 0.020029 Loss_D_real: -0.022395 Loss_D_fake 0.002395
[940/5000][50/535][96848] Loss_D: -0.020487 Loss_G: 0.030352 Loss_D_real: -0.026435 Loss_D_fake -0.005948
[940/5000][55/535][96849] Loss_D: -0.021604 Loss_G: -0.002505 Loss_D_real: -0.011280 Loss_D_fake 0.010324
[940/5000][60/535][96850] Loss_D: -0.020644 Loss_G: 0.008257 Loss_D_real: -0.024486 Loss_D_fake -0.003842
[940/5000][65/535][96851] Loss_D: -0.022334 Loss_G: 0.002835 Loss_D_real: -0.016391 Loss_D_fake 0.005944
[940/5000][70/535][96852] Loss_D: -0.022657 Loss_G: -0.008144 Loss_D_real: -0.020614 Loss_D_fake 0.002043
[940/5000][75/535][96853] Loss_D: -0.021459 Loss_G: 0.012440 Loss_D_real: -0.020593 Loss_D_fake 0.000866
[940/5000][80/535][96854] Loss_D: -0.023226 Loss_G: 0.003631 Loss_D_real: -0.017375 Loss_D_fake 0.005851
[940/5000][85/535][96855] Loss_D: -0.022732 Loss_G: 0.006179 Loss_D_real: -0.015252 Loss_D_fake 0.007479
[940/5000][90/535][96856] Loss_D: -0.023761 Loss_G: 0.017424 Loss_D_real: -0.028562 Loss_D_fake -0.004801
[940/5000][95/535][96857] Loss_D: -0.023140 Loss_G: 0.024939 Loss_D_real: -0.031901 Loss_D_fake -0.008761
[940/5000][100/535][96858] Loss_D: -0.021491 Loss_G: 0.021794 Loss_D_real: -0.027236 Loss_D_fake -0.005745
[940/5000][105/535][96859] Loss_D: -0.021776 Loss_G: 0.011916 Loss_D_real: -0.025723 Loss_D_fake -0.003947
[940/5000][110/535][96860] Loss_D: -0.023000 Loss_G: -0.007617 Loss_D_real: -0.017101 Loss_D_fake 0.005899
[940/5000][115/535][96861] Loss_D: -0.021852 Loss_G: 0.031035 Loss_D_real: -0.030098 Loss_D_fake -0.008246
[940/5000][120/535][96862] Loss_D: -0.022247 Loss_G: -0.004855 Loss_D_real: -0.010075 Loss_D_fake 0.012172
[940/5000][125/535][96863] Loss_D: -0.021194 Loss_G: 0.011717 Loss_D_real: -0.021436 Loss_D_fake -0.000242
[940/5000][130/535][96864] Loss_D: -0.021872 Loss_G: 0.000596 Loss_D_real: -0.009071 Loss_D_fake 0.012801
[940/5000][135/535][96865] Loss_D: -0.022379 Loss_G: 0.019934 Loss_D_real: -0.024155 Loss_D_fake -0.001776
[940/5000][140/535][96866] Loss_D: -0.022311 Loss_G: -0.004492 Loss_D_real: -0.024438 Loss_D_fake -0.002128
[940/5000][145/535][96867] Loss_D: -0.022692 Loss_G: -0.013386 Loss_D_real: -0.014626 Loss_D_fake 0.008066
[940/5000][150/535][96868] Loss_D: -0.022307 Loss_G: 0.011886 Loss_D_real: -0.019981 Loss_D_fake 0.002326
[940/5000][155/535][96869] Loss_D: -0.022655 Loss_G: 0.011492 Loss_D_real: -0.016201 Loss_D_fake 0.006454
[940/5000][160/535][96870] Loss_D: -0.022939 Loss_G: -0.005216 Loss_D_real: -0.014727 Loss_D_fake 0.008212
[940/5000][165/535][96871] Loss_D: -0.023580 Loss_G: 0.002907 Loss_D_real: -0.020531 Loss_D_fake 0.003049
[940/5000][170/535][96872] Loss_D: -0.021637 Loss_G: 0.000447 Loss_D_real: -0.029067 Loss_D_fake -0.007429
[940/5000][175/535][96873] Loss_D: -0.022920 Loss_G: 0.013561 Loss_D_real: -0.013223 Loss_D_fake 0.009696
[940/5000][180/535][96874] Loss_D: -0.021543 Loss_G: 0.018083 Loss_D_real: -0.038402 Loss_D_fake -0.016860
[940/5000][185/535][96875] Loss_D: -0.022612 Loss_G: 0.012983 Loss_D_real: -0.023186 Loss_D_fake -0.000573
[940/5000][190/535][96876] Loss_D: -0.022647 Loss_G: 0.021291 Loss_D_real: -0.021697 Loss_D_fake 0.000951
[940/5000][195/535][96877] Loss_D: -0.022792 Loss_G: 0.024652 Loss_D_real: -0.021018 Loss_D_fake 0.001774
[940/5000][200/535][96878] Loss_D: -0.021660 Loss_G: 0.018420 Loss_D_real: -0.025445 Loss_D_fake -0.003784
[940/5000][205/535][96879] Loss_D: -0.020661 Loss_G: -0.018255 Loss_D_real: -0.005294 Loss_D_fake 0.015368
[940/5000][210/535][96880] Loss_D: -0.022368 Loss_G: 0.014321 Loss_D_real: -0.021824 Loss_D_fake 0.000543
[940/5000][215/535][96881] Loss_D: -0.022150 Loss_G: 0.008265 Loss_D_real: -0.016810 Loss_D_fake 0.005340
[940/5000][220/535][96882] Loss_D: -0.022351 Loss_G: 0.006798 Loss_D_real: -0.019481 Loss_D_fake 0.002870
[940/5000][225/535][96883] Loss_D: -0.021912 Loss_G: 0.012275 Loss_D_real: -0.033867 Loss_D_fake -0.011955
[940/5000][230/535][96884] Loss_D: -0.022026 Loss_G: -0.014751 Loss_D_real: -0.000190 Loss_D_fake 0.021836
[940/5000][235/535][96885] Loss_D: -0.022281 Loss_G: 0.014606 Loss_D_real: -0.034074 Loss_D_fake -0.011793
[940/5000][240/535][96886] Loss_D: -0.023489 Loss_G: 0.016525 Loss_D_real: -0.018777 Loss_D_fake 0.004713
[940/5000][245/535][96887] Loss_D: -0.022654 Loss_G: 0.013553 Loss_D_real: -0.020052 Loss_D_fake 0.002602
[940/5000][250/535][96888] Loss_D: -0.022697 Loss_G: 0.024686 Loss_D_real: -0.022634 Loss_D_fake 0.000064
[940/5000][255/535][96889] Loss_D: -0.022037 Loss_G: -0.000137 Loss_D_real: -0.004505 Loss_D_fake 0.017532
[940/5000][260/535][96890] Loss_D: -0.022886 Loss_G: -0.001977 Loss_D_real: -0.011696 Loss_D_fake 0.011190
[940/5000][265/535][96891] Loss_D: -0.023419 Loss_G: 0.001695 Loss_D_real: -0.025958 Loss_D_fake -0.002540
[940/5000][270/535][96892] Loss_D: -0.022161 Loss_G: 0.015315 Loss_D_real: -0.021082 Loss_D_fake 0.001079
[940/5000][275/535][96893] Loss_D: -0.022467 Loss_G: 0.012138 Loss_D_real: -0.029837 Loss_D_fake -0.007370
[940/5000][280/535][96894] Loss_D: -0.021401 Loss_G: 0.012568 Loss_D_real: -0.019192 Loss_D_fake 0.002208
[940/5000][285/535][96895] Loss_D: -0.023228 Loss_G: 0.008601 Loss_D_real: -0.032496 Loss_D_fake -0.009268
[940/5000][290/535][96896] Loss_D: -0.021455 Loss_G: 0.004572 Loss_D_real: -0.002952 Loss_D_fake 0.018503
[940/5000][295/535][96897] Loss_D: -0.022260 Loss_G: 0.009698 Loss_D_real: -0.016554 Loss_D_fake 0.005706
[940/5000][300/535][96898] Loss_D: -0.023388 Loss_G: -0.006291 Loss_D_real: -0.014021 Loss_D_fake 0.009367
[940/5000][305/535][96899] Loss_D: -0.021984 Loss_G: -0.005380 Loss_D_real: -0.007647 Loss_D_fake 0.014338
[940/5000][310/535][96900] Loss_D: -0.021495 Loss_G: 0.012054 Loss_D_real: -0.024892 Loss_D_fake -0.003397
[940/5000][315/535][96901] Loss_D: -0.022945 Loss_G: 0.016359 Loss_D_real: -0.025868 Loss_D_fake -0.002923
[940/5000][320/535][96902] Loss_D: -0.023428 Loss_G: 0.011421 Loss_D_real: -0.011731 Loss_D_fake 0.011697
[940/5000][325/535][96903] Loss_D: -0.022083 Loss_G: -0.007585 Loss_D_real: -0.002072 Loss_D_fake 0.020011
[940/5000][330/535][96904] Loss_D: -0.022177 Loss_G: 0.014203 Loss_D_real: -0.023836 Loss_D_fake -0.001659
[940/5000][335/535][96905] Loss_D: -0.022243 Loss_G: -0.012213 Loss_D_real: -0.009742 Loss_D_fake 0.012501
[940/5000][340/535][96906] Loss_D: -0.021876 Loss_G: -0.011324 Loss_D_real: -0.002502 Loss_D_fake 0.019374
[940/5000][345/535][96907] Loss_D: -0.021603 Loss_G: 0.004732 Loss_D_real: -0.013905 Loss_D_fake 0.007697
[940/5000][350/535][96908] Loss_D: -0.021298 Loss_G: 0.017177 Loss_D_real: -0.024558 Loss_D_fake -0.003260
[940/5000][355/535][96909] Loss_D: -0.023153 Loss_G: 0.009601 Loss_D_real: -0.021335 Loss_D_fake 0.001818
[940/5000][360/535][96910] Loss_D: -0.022202 Loss_G: 0.007982 Loss_D_real: -0.016996 Loss_D_fake 0.005206
[940/5000][365/535][96911] Loss_D: -0.021842 Loss_G: 0.022875 Loss_D_real: -0.035572 Loss_D_fake -0.013730
[940/5000][370/535][96912] Loss_D: -0.021947 Loss_G: 0.003804 Loss_D_real: -0.011795 Loss_D_fake 0.010152
[940/5000][375/535][96913] Loss_D: -0.024008 Loss_G: 0.017794 Loss_D_real: -0.016302 Loss_D_fake 0.007706
[940/5000][380/535][96914] Loss_D: -0.022584 Loss_G: 0.007437 Loss_D_real: -0.017088 Loss_D_fake 0.005496
[940/5000][385/535][96915] Loss_D: -0.021888 Loss_G: 0.005855 Loss_D_real: -0.021191 Loss_D_fake 0.000698
[940/5000][390/535][96916] Loss_D: -0.022939 Loss_G: 0.005024 Loss_D_real: -0.013839 Loss_D_fake 0.009100
[940/5000][395/535][96917] Loss_D: -0.021866 Loss_G: 0.013301 Loss_D_real: -0.031021 Loss_D_fake -0.009155
[940/5000][400/535][96918] Loss_D: -0.022442 Loss_G: -0.011825 Loss_D_real: -0.006474 Loss_D_fake 0.015968
[940/5000][405/535][96919] Loss_D: -0.021924 Loss_G: 0.017349 Loss_D_real: -0.020330 Loss_D_fake 0.001594
[940/5000][410/535][96920] Loss_D: -0.020097 Loss_G: 0.006826 Loss_D_real: -0.013684 Loss_D_fake 0.006413
[940/5000][415/535][96921] Loss_D: -0.022756 Loss_G: -0.010118 Loss_D_real: -0.030193 Loss_D_fake -0.007437
[940/5000][420/535][96922] Loss_D: -0.023171 Loss_G: 0.003055 Loss_D_real: -0.018929 Loss_D_fake 0.004243
[940/5000][425/535][96923] Loss_D: -0.022626 Loss_G: -0.000356 Loss_D_real: -0.017817 Loss_D_fake 0.004809
[940/5000][430/535][96924] Loss_D: -0.022571 Loss_G: 0.020090 Loss_D_real: -0.017676 Loss_D_fake 0.004895
[940/5000][435/535][96925] Loss_D: -0.022346 Loss_G: 0.025396 Loss_D_real: -0.031767 Loss_D_fake -0.009421
[940/5000][440/535][96926] Loss_D: -0.021326 Loss_G: -0.001110 Loss_D_real: -0.026100 Loss_D_fake -0.004773
[940/5000][445/535][96927] Loss_D: -0.022993 Loss_G: 0.006622 Loss_D_real: -0.030851 Loss_D_fake -0.007858
[940/5000][450/535][96928] Loss_D: -0.022102 Loss_G: -0.006873 Loss_D_real: -0.025450 Loss_D_fake -0.003348
[940/5000][455/535][96929] Loss_D: -0.022655 Loss_G: 0.004053 Loss_D_real: 0.002557 Loss_D_fake 0.025213
[940/5000][460/535][96930] Loss_D: -0.021288 Loss_G: -0.003201 Loss_D_real: -0.021307 Loss_D_fake -0.000019
[940/5000][465/535][96931] Loss_D: -0.021993 Loss_G: -0.002396 Loss_D_real: -0.000368 Loss_D_fake 0.021626
[940/5000][470/535][96932] Loss_D: -0.021550 Loss_G: 0.008347 Loss_D_real: -0.027001 Loss_D_fake -0.005451
[940/5000][475/535][96933] Loss_D: -0.023180 Loss_G: 0.003492 Loss_D_real: -0.019355 Loss_D_fake 0.003825
[940/5000][480/535][96934] Loss_D: -0.022272 Loss_G: 0.005674 Loss_D_real: -0.015154 Loss_D_fake 0.007119
[940/5000][485/535][96935] Loss_D: -0.023099 Loss_G: 0.014004 Loss_D_real: -0.024426 Loss_D_fake -0.001327
[940/5000][490/535][96936] Loss_D: -0.023075 Loss_G: 0.016751 Loss_D_real: -0.036880 Loss_D_fake -0.013805
[940/5000][495/535][96937] Loss_D: -0.021311 Loss_G: 0.023899 Loss_D_real: -0.035195 Loss_D_fake -0.013884
[940/5000][500/535][96938] Loss_D: -0.021922 Loss_G: 0.021004 Loss_D_real: -0.036850 Loss_D_fake -0.014928
[940/5000][505/535][96939] Loss_D: -0.022741 Loss_G: -0.009302 Loss_D_real: -0.004360 Loss_D_fake 0.018380
[940/5000][510/535][96940] Loss_D: -0.022374 Loss_G: 0.010926 Loss_D_real: -0.015836 Loss_D_fake 0.006538
[940/5000][515/535][96941] Loss_D: -0.021538 Loss_G: 0.007878 Loss_D_real: -0.033071 Loss_D_fake -0.011533
[940/5000][520/535][96942] Loss_D: -0.023736 Loss_G: 0.014453 Loss_D_real: -0.023333 Loss_D_fake 0.000403
[940/5000][525/535][96943] Loss_D: -0.020521 Loss_G: -0.013750 Loss_D_real: 0.006786 Loss_D_fake 0.027307
[940/5000][530/535][96944] Loss_D: -0.021855 Loss_G: 0.024275 Loss_D_real: -0.027197 Loss_D_fake -0.005343
[940/5000][535/535][96945] Loss_D: -0.020161 Loss_G: 0.001403 Loss_D_real: -0.018229 Loss_D_fake 0.001932
[941/5000][5/535][96946] Loss_D: -0.022313 Loss_G: 0.015374 Loss_D_real: -0.023422 Loss_D_fake -0.001109
[941/5000][10/535][96947] Loss_D: -0.021933 Loss_G: 0.017671 Loss_D_real: -0.023944 Loss_D_fake -0.002011
[941/5000][15/535][96948] Loss_D: -0.020291 Loss_G: 0.016607 Loss_D_real: -0.029284 Loss_D_fake -0.008993
[941/5000][20/535][96949] Loss_D: -0.022367 Loss_G: 0.001395 Loss_D_real: -0.019293 Loss_D_fake 0.003074
[941/5000][25/535][96950] Loss_D: -0.022713 Loss_G: 0.018411 Loss_D_real: -0.028025 Loss_D_fake -0.005312
[941/5000][30/535][96951] Loss_D: -0.021763 Loss_G: 0.008963 Loss_D_real: -0.020032 Loss_D_fake 0.001731
[941/5000][35/535][96952] Loss_D: -0.021980 Loss_G: -0.002505 Loss_D_real: -0.011498 Loss_D_fake 0.010482
[941/5000][40/535][96953] Loss_D: -0.021547 Loss_G: 0.011923 Loss_D_real: -0.022556 Loss_D_fake -0.001009
[941/5000][45/535][96954] Loss_D: -0.023804 Loss_G: 0.000157 Loss_D_real: -0.022985 Loss_D_fake 0.000819
[941/5000][50/535][96955] Loss_D: -0.023746 Loss_G: 0.010948 Loss_D_real: -0.013171 Loss_D_fake 0.010575
[941/5000][55/535][96956] Loss_D: -0.021031 Loss_G: 0.016097 Loss_D_real: -0.031285 Loss_D_fake -0.010254
[941/5000][60/535][96957] Loss_D: -0.021883 Loss_G: 0.006549 Loss_D_real: -0.015823 Loss_D_fake 0.006060
[941/5000][65/535][96958] Loss_D: -0.022544 Loss_G: 0.027798 Loss_D_real: -0.029426 Loss_D_fake -0.006882
[941/5000][70/535][96959] Loss_D: -0.022823 Loss_G: -0.002163 Loss_D_real: -0.015609 Loss_D_fake 0.007215
[941/5000][75/535][96960] Loss_D: -0.022596 Loss_G: -0.002413 Loss_D_real: -0.013806 Loss_D_fake 0.008790
[941/5000][80/535][96961] Loss_D: -0.022543 Loss_G: 0.023950 Loss_D_real: -0.020938 Loss_D_fake 0.001605
[941/5000][85/535][96962] Loss_D: -0.022490 Loss_G: -0.001982 Loss_D_real: -0.012311 Loss_D_fake 0.010179
[941/5000][90/535][96963] Loss_D: -0.022548 Loss_G: 0.011372 Loss_D_real: -0.021841 Loss_D_fake 0.000707
[941/5000][95/535][96964] Loss_D: -0.021858 Loss_G: 0.016639 Loss_D_real: -0.031046 Loss_D_fake -0.009188
[941/5000][100/535][96965] Loss_D: -0.022321 Loss_G: 0.004390 Loss_D_real: -0.022458 Loss_D_fake -0.000137
[941/5000][105/535][96966] Loss_D: -0.022585 Loss_G: 0.000917 Loss_D_real: -0.012679 Loss_D_fake 0.009906
[941/5000][110/535][96967] Loss_D: -0.021354 Loss_G: 0.018439 Loss_D_real: -0.031026 Loss_D_fake -0.009672
[941/5000][115/535][96968] Loss_D: -0.022263 Loss_G: -0.008908 Loss_D_real: -0.007854 Loss_D_fake 0.014410
[941/5000][120/535][96969] Loss_D: -0.023058 Loss_G: 0.012351 Loss_D_real: -0.022217 Loss_D_fake 0.000841
[941/5000][125/535][96970] Loss_D: -0.023294 Loss_G: 0.011086 Loss_D_real: -0.021738 Loss_D_fake 0.001555
[941/5000][130/535][96971] Loss_D: -0.021716 Loss_G: 0.018716 Loss_D_real: -0.034687 Loss_D_fake -0.012971
[941/5000][135/535][96972] Loss_D: -0.021731 Loss_G: 0.003913 Loss_D_real: -0.024799 Loss_D_fake -0.003068
[941/5000][140/535][96973] Loss_D: -0.023250 Loss_G: 0.015155 Loss_D_real: -0.018994 Loss_D_fake 0.004255
[941/5000][145/535][96974] Loss_D: -0.023333 Loss_G: -0.005998 Loss_D_real: -0.013363 Loss_D_fake 0.009971
[941/5000][150/535][96975] Loss_D: -0.022581 Loss_G: 0.014632 Loss_D_real: -0.024825 Loss_D_fake -0.002244
[941/5000][155/535][96976] Loss_D: -0.022259 Loss_G: 0.003822 Loss_D_real: -0.010912 Loss_D_fake 0.011347
[941/5000][160/535][96977] Loss_D: -0.023105 Loss_G: 0.008289 Loss_D_real: -0.023178 Loss_D_fake -0.000073
[941/5000][165/535][96978] Loss_D: -0.023600 Loss_G: 0.002305 Loss_D_real: -0.006632 Loss_D_fake 0.016968
[941/5000][170/535][96979] Loss_D: -0.023237 Loss_G: -0.000967 Loss_D_real: -0.010093 Loss_D_fake 0.013144
[941/5000][175/535][96980] Loss_D: -0.021956 Loss_G: 0.000162 Loss_D_real: -0.012246 Loss_D_fake 0.009710
[941/5000][180/535][96981] Loss_D: -0.022269 Loss_G: 0.012781 Loss_D_real: -0.022901 Loss_D_fake -0.000632
[941/5000][185/535][96982] Loss_D: -0.023203 Loss_G: 0.011253 Loss_D_real: -0.027528 Loss_D_fake -0.004325
[941/5000][190/535][96983] Loss_D: -0.022850 Loss_G: 0.015346 Loss_D_real: -0.031219 Loss_D_fake -0.008369
[941/5000][195/535][96984] Loss_D: -0.023469 Loss_G: 0.005178 Loss_D_real: -0.019643 Loss_D_fake 0.003825
[941/5000][200/535][96985] Loss_D: -0.022192 Loss_G: 0.020568 Loss_D_real: -0.028925 Loss_D_fake -0.006733
[941/5000][205/535][96986] Loss_D: -0.022287 Loss_G: 0.002628 Loss_D_real: -0.025427 Loss_D_fake -0.003139
[941/5000][210/535][96987] Loss_D: -0.021236 Loss_G: 0.016378 Loss_D_real: -0.021213 Loss_D_fake 0.000023
[941/5000][215/535][96988] Loss_D: -0.022341 Loss_G: 0.023974 Loss_D_real: -0.027138 Loss_D_fake -0.004796
[941/5000][220/535][96989] Loss_D: -0.022712 Loss_G: 0.012155 Loss_D_real: -0.020358 Loss_D_fake 0.002354
[941/5000][225/535][96990] Loss_D: -0.022200 Loss_G: 0.015391 Loss_D_real: -0.027945 Loss_D_fake -0.005746
[941/5000][230/535][96991] Loss_D: -0.021061 Loss_G: 0.004971 Loss_D_real: -0.023279 Loss_D_fake -0.002218
[941/5000][235/535][96992] Loss_D: -0.020813 Loss_G: 0.010285 Loss_D_real: -0.014598 Loss_D_fake 0.006216
[941/5000][240/535][96993] Loss_D: -0.022357 Loss_G: 0.005150 Loss_D_real: -0.019147 Loss_D_fake 0.003209
[941/5000][245/535][96994] Loss_D: -0.021827 Loss_G: 0.018847 Loss_D_real: -0.023397 Loss_D_fake -0.001569
[941/5000][250/535][96995] Loss_D: -0.022389 Loss_G: -0.003374 Loss_D_real: -0.009179 Loss_D_fake 0.013210
[941/5000][255/535][96996] Loss_D: -0.021275 Loss_G: 0.017834 Loss_D_real: -0.019697 Loss_D_fake 0.001578
[941/5000][260/535][96997] Loss_D: -0.020344 Loss_G: 0.007059 Loss_D_real: -0.023735 Loss_D_fake -0.003390
[941/5000][265/535][96998] Loss_D: -0.022782 Loss_G: 0.022635 Loss_D_real: -0.029704 Loss_D_fake -0.006922
[941/5000][270/535][96999] Loss_D: -0.021777 Loss_G: 0.010727 Loss_D_real: -0.007002 Loss_D_fake 0.014775
[941/5000][275/535][97000] Loss_D: -0.022418 Loss_G: -0.004258 Loss_D_real: -0.022352 Loss_D_fake 0.000066
[941/5000][375/535][97001] Loss_D: -0.025299 Loss_G: 0.029006 Loss_D_real: -0.035959 Loss_D_fake -0.010660
[941/5000][380/535][97002] Loss_D: -0.020652 Loss_G: 0.024379 Loss_D_real: -0.027139 Loss_D_fake -0.006487
[941/5000][385/535][97003] Loss_D: -0.020412 Loss_G: 0.017415 Loss_D_real: -0.018359 Loss_D_fake 0.002052
[941/5000][390/535][97004] Loss_D: -0.020797 Loss_G: -0.005025 Loss_D_real: -0.015673 Loss_D_fake 0.005124
[941/5000][395/535][97005] Loss_D: -0.022057 Loss_G: 0.011878 Loss_D_real: -0.026790 Loss_D_fake -0.004733
[941/5000][400/535][97006] Loss_D: -0.020882 Loss_G: -0.002633 Loss_D_real: -0.014686 Loss_D_fake 0.006196
[941/5000][405/535][97007] Loss_D: -0.021495 Loss_G: 0.012768 Loss_D_real: -0.020972 Loss_D_fake 0.000523
[941/5000][410/535][97008] Loss_D: -0.021495 Loss_G: -0.008415 Loss_D_real: -0.008282 Loss_D_fake 0.013213
[941/5000][415/535][97009] Loss_D: -0.020102 Loss_G: 0.028276 Loss_D_real: -0.028567 Loss_D_fake -0.008465
[941/5000][420/535][97010] Loss_D: -0.021653 Loss_G: 0.002325 Loss_D_real: -0.023919 Loss_D_fake -0.002265
[941/5000][425/535][97011] Loss_D: -0.021262 Loss_G: 0.018465 Loss_D_real: -0.035172 Loss_D_fake -0.013910
[941/5000][430/535][97012] Loss_D: -0.022414 Loss_G: 0.009201 Loss_D_real: -0.023157 Loss_D_fake -0.000743
[941/5000][435/535][97013] Loss_D: -0.022452 Loss_G: 0.002579 Loss_D_real: -0.004262 Loss_D_fake 0.018190
[941/5000][440/535][97014] Loss_D: -0.021888 Loss_G: 0.003188 Loss_D_real: -0.008293 Loss_D_fake 0.013595
[941/5000][445/535][97015] Loss_D: -0.022566 Loss_G: 0.009345 Loss_D_real: -0.014649 Loss_D_fake 0.007917
[941/5000][450/535][97016] Loss_D: -0.020879 Loss_G: -0.007991 Loss_D_real: -0.010026 Loss_D_fake 0.010853
[941/5000][455/535][97017] Loss_D: -0.022670 Loss_G: 0.019293 Loss_D_real: -0.019464 Loss_D_fake 0.003206
[941/5000][460/535][97018] Loss_D: -0.021613 Loss_G: -0.014481 Loss_D_real: -0.011118 Loss_D_fake 0.010495
[941/5000][465/535][97019] Loss_D: -0.021855 Loss_G: 0.003578 Loss_D_real: -0.009443 Loss_D_fake 0.012412
[941/5000][470/535][97020] Loss_D: -0.022307 Loss_G: 0.016825 Loss_D_real: -0.015861 Loss_D_fake 0.006446
[941/5000][475/535][97021] Loss_D: -0.022046 Loss_G: 0.011295 Loss_D_real: -0.014234 Loss_D_fake 0.007813
[941/5000][480/535][97022] Loss_D: -0.023394 Loss_G: 0.006705 Loss_D_real: -0.020486 Loss_D_fake 0.002908
[941/5000][485/535][97023] Loss_D: -0.021944 Loss_G: 0.005583 Loss_D_real: -0.020921 Loss_D_fake 0.001022
[941/5000][490/535][97024] Loss_D: -0.019606 Loss_G: 0.020211 Loss_D_real: -0.038048 Loss_D_fake -0.018442
[941/5000][495/535][97025] Loss_D: -0.021663 Loss_G: 0.007277 Loss_D_real: -0.023711 Loss_D_fake -0.002049
[941/5000][500/535][97026] Loss_D: -0.022547 Loss_G: -0.001082 Loss_D_real: -0.009592 Loss_D_fake 0.012955
[941/5000][505/535][97027] Loss_D: -0.023473 Loss_G: 0.014636 Loss_D_real: -0.021191 Loss_D_fake 0.002282
[941/5000][510/535][97028] Loss_D: -0.023729 Loss_G: 0.021714 Loss_D_real: -0.020955 Loss_D_fake 0.002774
[941/5000][515/535][97029] Loss_D: -0.022806 Loss_G: 0.012991 Loss_D_real: -0.022492 Loss_D_fake 0.000315
[941/5000][520/535][97030] Loss_D: -0.022336 Loss_G: 0.000518 Loss_D_real: -0.016819 Loss_D_fake 0.005517
[941/5000][525/535][97031] Loss_D: -0.022757 Loss_G: 0.003994 Loss_D_real: -0.024454 Loss_D_fake -0.001698
[941/5000][530/535][97032] Loss_D: -0.021857 Loss_G: -0.000405 Loss_D_real: -0.011638 Loss_D_fake 0.010218
[941/5000][535/535][97033] Loss_D: -0.021432 Loss_G: -0.004784 Loss_D_real: 0.000610 Loss_D_fake 0.022042
[942/5000][5/535][97034] Loss_D: -0.023887 Loss_G: 0.007944 Loss_D_real: -0.012675 Loss_D_fake 0.011212
[942/5000][10/535][97035] Loss_D: -0.022328 Loss_G: -0.009637 Loss_D_real: -0.012626 Loss_D_fake 0.009702
[942/5000][15/535][97036] Loss_D: -0.020020 Loss_G: 0.016721 Loss_D_real: -0.026647 Loss_D_fake -0.006627
[942/5000][20/535][97037] Loss_D: -0.022738 Loss_G: -0.003073 Loss_D_real: -0.011747 Loss_D_fake 0.010990
[942/5000][25/535][97038] Loss_D: -0.022415 Loss_G: -0.008970 Loss_D_real: -0.007959 Loss_D_fake 0.014457
[942/5000][30/535][97039] Loss_D: -0.021306 Loss_G: 0.009000 Loss_D_real: -0.022968 Loss_D_fake -0.001662
[942/5000][35/535][97040] Loss_D: -0.021721 Loss_G: 0.000565 Loss_D_real: -0.011250 Loss_D_fake 0.010471
[942/5000][40/535][97041] Loss_D: -0.022532 Loss_G: -0.002361 Loss_D_real: -0.011419 Loss_D_fake 0.011113
[942/5000][45/535][97042] Loss_D: -0.020759 Loss_G: 0.003205 Loss_D_real: -0.012654 Loss_D_fake 0.008105
[942/5000][50/535][97043] Loss_D: -0.022143 Loss_G: 0.005462 Loss_D_real: -0.025849 Loss_D_fake -0.003706
[942/5000][55/535][97044] Loss_D: -0.022708 Loss_G: -0.000485 Loss_D_real: -0.019112 Loss_D_fake 0.003596
[942/5000][60/535][97045] Loss_D: -0.021933 Loss_G: -0.012820 Loss_D_real: 0.002825 Loss_D_fake 0.024758
[942/5000][65/535][97046] Loss_D: -0.021898 Loss_G: -0.005008 Loss_D_real: -0.007599 Loss_D_fake 0.014299
[942/5000][70/535][97047] Loss_D: -0.022901 Loss_G: 0.006777 Loss_D_real: -0.018047 Loss_D_fake 0.004854
[942/5000][75/535][97048] Loss_D: -0.022918 Loss_G: 0.018270 Loss_D_real: -0.022072 Loss_D_fake 0.000847
[942/5000][80/535][97049] Loss_D: -0.023108 Loss_G: 0.015446 Loss_D_real: -0.025902 Loss_D_fake -0.002794
[942/5000][85/535][97050] Loss_D: -0.023399 Loss_G: 0.003416 Loss_D_real: -0.014403 Loss_D_fake 0.008996
[942/5000][90/535][97051] Loss_D: -0.023581 Loss_G: 0.021818 Loss_D_real: -0.029227 Loss_D_fake -0.005646
[942/5000][95/535][97052] Loss_D: -0.022490 Loss_G: 0.009638 Loss_D_real: -0.022604 Loss_D_fake -0.000114
[942/5000][100/535][97053] Loss_D: -0.023581 Loss_G: -0.002797 Loss_D_real: -0.031187 Loss_D_fake -0.007606
[942/5000][105/535][97054] Loss_D: -0.022159 Loss_G: 0.009938 Loss_D_real: -0.028955 Loss_D_fake -0.006796
[942/5000][110/535][97055] Loss_D: -0.022440 Loss_G: 0.001291 Loss_D_real: -0.006356 Loss_D_fake 0.016084
[942/5000][115/535][97056] Loss_D: -0.021388 Loss_G: 0.007304 Loss_D_real: -0.009879 Loss_D_fake 0.011509
[942/5000][120/535][97057] Loss_D: -0.023199 Loss_G: 0.010372 Loss_D_real: -0.012640 Loss_D_fake 0.010559
[942/5000][125/535][97058] Loss_D: -0.020488 Loss_G: 0.008620 Loss_D_real: -0.017111 Loss_D_fake 0.003377
[942/5000][130/535][97059] Loss_D: -0.022438 Loss_G: 0.007758 Loss_D_real: -0.015909 Loss_D_fake 0.006530
[942/5000][135/535][97060] Loss_D: -0.022518 Loss_G: 0.004740 Loss_D_real: -0.013743 Loss_D_fake 0.008775
[942/5000][140/535][97061] Loss_D: -0.020887 Loss_G: -0.029106 Loss_D_real: -0.008019 Loss_D_fake 0.012868
[942/5000][145/535][97062] Loss_D: -0.021513 Loss_G: 0.006910 Loss_D_real: -0.031550 Loss_D_fake -0.010037
[942/5000][150/535][97063] Loss_D: -0.023075 Loss_G: 0.006290 Loss_D_real: -0.019081 Loss_D_fake 0.003994
[942/5000][155/535][97064] Loss_D: -0.022642 Loss_G: 0.007196 Loss_D_real: -0.006671 Loss_D_fake 0.015971
[942/5000][160/535][97065] Loss_D: -0.023772 Loss_G: 0.020931 Loss_D_real: -0.021829 Loss_D_fake 0.001943
[942/5000][165/535][97066] Loss_D: -0.023909 Loss_G: 0.004136 Loss_D_real: -0.014800 Loss_D_fake 0.009110
[942/5000][170/535][97067] Loss_D: -0.023137 Loss_G: 0.005898 Loss_D_real: -0.021590 Loss_D_fake 0.001547
[942/5000][175/535][97068] Loss_D: -0.022682 Loss_G: -0.011941 Loss_D_real: -0.009339 Loss_D_fake 0.013344
[942/5000][180/535][97069] Loss_D: -0.023642 Loss_G: 0.004693 Loss_D_real: -0.013640 Loss_D_fake 0.010002
[942/5000][185/535][97070] Loss_D: -0.024033 Loss_G: 0.019406 Loss_D_real: -0.017371 Loss_D_fake 0.006662
[942/5000][190/535][97071] Loss_D: -0.022806 Loss_G: 0.024804 Loss_D_real: -0.025599 Loss_D_fake -0.002793
[942/5000][195/535][97072] Loss_D: -0.023659 Loss_G: 0.002880 Loss_D_real: -0.018249 Loss_D_fake 0.005410
[942/5000][200/535][97073] Loss_D: -0.022328 Loss_G: 0.007093 Loss_D_real: -0.019630 Loss_D_fake 0.002697
[942/5000][205/535][97074] Loss_D: -0.022599 Loss_G: 0.009519 Loss_D_real: -0.023314 Loss_D_fake -0.000715
[942/5000][210/535][97075] Loss_D: -0.022052 Loss_G: 0.005217 Loss_D_real: -0.022832 Loss_D_fake -0.000779
[942/5000][215/535][97076] Loss_D: -0.022250 Loss_G: 0.006427 Loss_D_real: -0.030542 Loss_D_fake -0.008292
[942/5000][220/535][97077] Loss_D: -0.022138 Loss_G: 0.016488 Loss_D_real: -0.020037 Loss_D_fake 0.002101
[942/5000][225/535][97078] Loss_D: -0.022006 Loss_G: -0.004060 Loss_D_real: -0.011047 Loss_D_fake 0.010959
[942/5000][230/535][97079] Loss_D: -0.021941 Loss_G: 0.006702 Loss_D_real: -0.027183 Loss_D_fake -0.005242
[942/5000][235/535][97080] Loss_D: -0.021695 Loss_G: 0.011948 Loss_D_real: -0.014165 Loss_D_fake 0.007531
[942/5000][240/535][97081] Loss_D: -0.022825 Loss_G: 0.012228 Loss_D_real: -0.016348 Loss_D_fake 0.006477
[942/5000][245/535][97082] Loss_D: -0.023012 Loss_G: -0.001772 Loss_D_real: -0.009194 Loss_D_fake 0.013818
[942/5000][250/535][97083] Loss_D: -0.021612 Loss_G: 0.010472 Loss_D_real: -0.016963 Loss_D_fake 0.004649
[942/5000][255/535][97084] Loss_D: -0.021875 Loss_G: -0.011394 Loss_D_real: -0.009596 Loss_D_fake 0.012278
[942/5000][260/535][97085] Loss_D: -0.020488 Loss_G: -0.016545 Loss_D_real: 0.008266 Loss_D_fake 0.028754
[942/5000][265/535][97086] Loss_D: -0.022559 Loss_G: -0.000449 Loss_D_real: -0.008808 Loss_D_fake 0.013751
[942/5000][270/535][97087] Loss_D: -0.023819 Loss_G: 0.017389 Loss_D_real: -0.021394 Loss_D_fake 0.002425
[942/5000][275/535][97088] Loss_D: -0.022905 Loss_G: 0.003813 Loss_D_real: -0.020260 Loss_D_fake 0.002644
[942/5000][280/535][97089] Loss_D: -0.022449 Loss_G: 0.008310 Loss_D_real: -0.021803 Loss_D_fake 0.000646
[942/5000][285/535][97090] Loss_D: -0.022913 Loss_G: 0.000532 Loss_D_real: -0.002860 Loss_D_fake 0.020053
[942/5000][290/535][97091] Loss_D: -0.022486 Loss_G: 0.011101 Loss_D_real: -0.025882 Loss_D_fake -0.003395
[942/5000][295/535][97092] Loss_D: -0.023086 Loss_G: 0.002421 Loss_D_real: -0.011013 Loss_D_fake 0.012073
[942/5000][300/535][97093] Loss_D: -0.022006 Loss_G: -0.004456 Loss_D_real: -0.010216 Loss_D_fake 0.011790
[942/5000][305/535][97094] Loss_D: -0.023144 Loss_G: 0.005736 Loss_D_real: -0.019282 Loss_D_fake 0.003862
[942/5000][310/535][97095] Loss_D: -0.022642 Loss_G: -0.003932 Loss_D_real: -0.015656 Loss_D_fake 0.006987
[942/5000][315/535][97096] Loss_D: -0.021709 Loss_G: 0.017699 Loss_D_real: -0.033515 Loss_D_fake -0.011806
[942/5000][320/535][97097] Loss_D: -0.022111 Loss_G: -0.012269 Loss_D_real: -0.008435 Loss_D_fake 0.013676
[942/5000][325/535][97098] Loss_D: -0.021227 Loss_G: 0.021928 Loss_D_real: -0.033978 Loss_D_fake -0.012752
[942/5000][330/535][97099] Loss_D: -0.022694 Loss_G: 0.003512 Loss_D_real: -0.017964 Loss_D_fake 0.004730
[942/5000][335/535][97100] Loss_D: -0.021070 Loss_G: 0.024814 Loss_D_real: -0.038787 Loss_D_fake -0.017717
[942/5000][340/535][97101] Loss_D: -0.021513 Loss_G: 0.002587 Loss_D_real: -0.008782 Loss_D_fake 0.012731
[942/5000][345/535][97102] Loss_D: -0.022579 Loss_G: -0.007487 Loss_D_real: -0.003196 Loss_D_fake 0.019383
[942/5000][350/535][97103] Loss_D: -0.021572 Loss_G: 0.009700 Loss_D_real: -0.028995 Loss_D_fake -0.007423
[942/5000][355/535][97104] Loss_D: -0.022127 Loss_G: 0.005847 Loss_D_real: -0.021202 Loss_D_fake 0.000925
[942/5000][360/535][97105] Loss_D: -0.023269 Loss_G: 0.009518 Loss_D_real: -0.020057 Loss_D_fake 0.003212
[942/5000][365/535][97106] Loss_D: -0.022357 Loss_G: 0.014936 Loss_D_real: -0.025206 Loss_D_fake -0.002850
[942/5000][370/535][97107] Loss_D: -0.023091 Loss_G: -0.015522 Loss_D_real: -0.010772 Loss_D_fake 0.012319
[942/5000][375/535][97108] Loss_D: -0.021655 Loss_G: 0.029930 Loss_D_real: -0.030200 Loss_D_fake -0.008544
[942/5000][380/535][97109] Loss_D: -0.021984 Loss_G: -0.007241 Loss_D_real: -0.003030 Loss_D_fake 0.018954
[942/5000][385/535][97110] Loss_D: -0.022018 Loss_G: 0.004479 Loss_D_real: -0.022626 Loss_D_fake -0.000608
[942/5000][390/535][97111] Loss_D: -0.021386 Loss_G: -0.002072 Loss_D_real: -0.010509 Loss_D_fake 0.010877
[942/5000][395/535][97112] Loss_D: -0.021901 Loss_G: 0.001262 Loss_D_real: -0.014590 Loss_D_fake 0.007311
[942/5000][400/535][97113] Loss_D: -0.022084 Loss_G: -0.007207 Loss_D_real: -0.008968 Loss_D_fake 0.013117
[942/5000][405/535][97114] Loss_D: -0.022645 Loss_G: 0.001433 Loss_D_real: -0.016986 Loss_D_fake 0.005659
[942/5000][410/535][97115] Loss_D: -0.021810 Loss_G: 0.005942 Loss_D_real: -0.021109 Loss_D_fake 0.000701
[942/5000][415/535][97116] Loss_D: -0.023098 Loss_G: -0.006108 Loss_D_real: -0.008161 Loss_D_fake 0.014938
[942/5000][420/535][97117] Loss_D: -0.021554 Loss_G: 0.005531 Loss_D_real: -0.020580 Loss_D_fake 0.000974
[942/5000][425/535][97118] Loss_D: -0.021431 Loss_G: -0.008522 Loss_D_real: -0.014849 Loss_D_fake 0.006582
[942/5000][430/535][97119] Loss_D: -0.023691 Loss_G: 0.011301 Loss_D_real: -0.003980 Loss_D_fake 0.019711
[942/5000][435/535][97120] Loss_D: -0.022416 Loss_G: 0.016751 Loss_D_real: -0.022511 Loss_D_fake -0.000094
[942/5000][440/535][97121] Loss_D: -0.024195 Loss_G: 0.030485 Loss_D_real: -0.027637 Loss_D_fake -0.003443
[942/5000][445/535][97122] Loss_D: -0.022498 Loss_G: -0.000374 Loss_D_real: -0.012894 Loss_D_fake 0.009604
[942/5000][450/535][97123] Loss_D: -0.021554 Loss_G: 0.022434 Loss_D_real: -0.044617 Loss_D_fake -0.023063
[942/5000][455/535][97124] Loss_D: -0.021877 Loss_G: 0.002611 Loss_D_real: -0.004997 Loss_D_fake 0.016879
[942/5000][460/535][97125] Loss_D: -0.022311 Loss_G: 0.006176 Loss_D_real: -0.011775 Loss_D_fake 0.010536
[942/5000][465/535][97126] Loss_D: -0.021359 Loss_G: 0.004365 Loss_D_real: -0.026050 Loss_D_fake -0.004691
[942/5000][470/535][97127] Loss_D: -0.024063 Loss_G: 0.000901 Loss_D_real: -0.014958 Loss_D_fake 0.009106
[942/5000][475/535][97128] Loss_D: -0.022671 Loss_G: 0.022149 Loss_D_real: -0.027402 Loss_D_fake -0.004730
[942/5000][480/535][97129] Loss_D: -0.022072 Loss_G: 0.005207 Loss_D_real: -0.020802 Loss_D_fake 0.001270
[942/5000][485/535][97130] Loss_D: -0.022220 Loss_G: 0.000899 Loss_D_real: -0.023250 Loss_D_fake -0.001030
[942/5000][490/535][97131] Loss_D: -0.023237 Loss_G: 0.008414 Loss_D_real: -0.018957 Loss_D_fake 0.004281
[942/5000][495/535][97132] Loss_D: -0.023306 Loss_G: 0.018747 Loss_D_real: -0.020783 Loss_D_fake 0.002522
[942/5000][500/535][97133] Loss_D: -0.022751 Loss_G: 0.019309 Loss_D_real: -0.028146 Loss_D_fake -0.005395
[942/5000][505/535][97134] Loss_D: -0.023295 Loss_G: -0.001830 Loss_D_real: -0.007870 Loss_D_fake 0.015425
[942/5000][510/535][97135] Loss_D: -0.023470 Loss_G: 0.005961 Loss_D_real: -0.013124 Loss_D_fake 0.010346
[942/5000][515/535][97136] Loss_D: -0.023239 Loss_G: 0.000144 Loss_D_real: -0.020585 Loss_D_fake 0.002654
[942/5000][520/535][97137] Loss_D: -0.022704 Loss_G: 0.005077 Loss_D_real: -0.015752 Loss_D_fake 0.006952
[942/5000][525/535][97138] Loss_D: -0.022744 Loss_G: 0.016645 Loss_D_real: -0.036772 Loss_D_fake -0.014028
[942/5000][530/535][97139] Loss_D: -0.022522 Loss_G: 0.006471 Loss_D_real: -0.018648 Loss_D_fake 0.003873
[942/5000][535/535][97140] Loss_D: -0.023833 Loss_G: -0.013951 Loss_D_real: -0.017373 Loss_D_fake 0.006460
[943/5000][5/535][97141] Loss_D: -0.022188 Loss_G: 0.008516 Loss_D_real: -0.013473 Loss_D_fake 0.008715
[943/5000][10/535][97142] Loss_D: -0.020212 Loss_G: 0.008239 Loss_D_real: -0.012692 Loss_D_fake 0.007520
[943/5000][15/535][97143] Loss_D: -0.023295 Loss_G: 0.000486 Loss_D_real: -0.012464 Loss_D_fake 0.010831
[943/5000][20/535][97144] Loss_D: -0.021675 Loss_G: 0.021710 Loss_D_real: -0.031378 Loss_D_fake -0.009703
[943/5000][25/535][97145] Loss_D: -0.021993 Loss_G: -0.007826 Loss_D_real: -0.008970 Loss_D_fake 0.013024
[943/5000][30/535][97146] Loss_D: -0.022394 Loss_G: 0.008527 Loss_D_real: -0.027229 Loss_D_fake -0.004834
[943/5000][35/535][97147] Loss_D: -0.021889 Loss_G: 0.001193 Loss_D_real: -0.008341 Loss_D_fake 0.013548
[943/5000][40/535][97148] Loss_D: -0.021819 Loss_G: 0.016162 Loss_D_real: -0.025871 Loss_D_fake -0.004051
[943/5000][45/535][97149] Loss_D: -0.022995 Loss_G: 0.003629 Loss_D_real: -0.009836 Loss_D_fake 0.013159
[943/5000][50/535][97150] Loss_D: -0.020950 Loss_G: 0.012264 Loss_D_real: -0.026206 Loss_D_fake -0.005255
[943/5000][55/535][97151] Loss_D: -0.020878 Loss_G: 0.004744 Loss_D_real: -0.024954 Loss_D_fake -0.004077
[943/5000][60/535][97152] Loss_D: -0.022411 Loss_G: 0.019482 Loss_D_real: -0.020331 Loss_D_fake 0.002080
[943/5000][65/535][97153] Loss_D: -0.022364 Loss_G: 0.003994 Loss_D_real: -0.022078 Loss_D_fake 0.000287
[943/5000][70/535][97154] Loss_D: -0.022657 Loss_G: 0.023254 Loss_D_real: -0.024121 Loss_D_fake -0.001464
[943/5000][75/535][97155] Loss_D: -0.022321 Loss_G: 0.005732 Loss_D_real: -0.015070 Loss_D_fake 0.007251
[943/5000][80/535][97156] Loss_D: -0.021578 Loss_G: 0.003000 Loss_D_real: -0.033826 Loss_D_fake -0.012248
[943/5000][85/535][97157] Loss_D: -0.021299 Loss_G: -0.004505 Loss_D_real: -0.006979 Loss_D_fake 0.014320
[943/5000][90/535][97158] Loss_D: -0.021863 Loss_G: 0.024828 Loss_D_real: -0.029089 Loss_D_fake -0.007226
[943/5000][95/535][97159] Loss_D: -0.021184 Loss_G: 0.028328 Loss_D_real: -0.041112 Loss_D_fake -0.019928
[943/5000][100/535][97160] Loss_D: -0.022128 Loss_G: 0.016526 Loss_D_real: -0.025267 Loss_D_fake -0.003140
[943/5000][105/535][97161] Loss_D: -0.021796 Loss_G: -0.003421 Loss_D_real: -0.028019 Loss_D_fake -0.006223
[943/5000][110/535][97162] Loss_D: -0.022051 Loss_G: 0.013571 Loss_D_real: -0.036583 Loss_D_fake -0.014531
[943/5000][115/535][97163] Loss_D: -0.021043 Loss_G: 0.021985 Loss_D_real: -0.033222 Loss_D_fake -0.012179
[943/5000][120/535][97164] Loss_D: -0.022441 Loss_G: 0.005218 Loss_D_real: -0.013019 Loss_D_fake 0.009422
[943/5000][125/535][97165] Loss_D: -0.023726 Loss_G: 0.003793 Loss_D_real: -0.018506 Loss_D_fake 0.005220
[943/5000][130/535][97166] Loss_D: -0.022589 Loss_G: 0.000364 Loss_D_real: -0.014341 Loss_D_fake 0.008247
[943/5000][135/535][97167] Loss_D: -0.023025 Loss_G: 0.021507 Loss_D_real: -0.028434 Loss_D_fake -0.005409
[943/5000][140/535][97168] Loss_D: -0.022904 Loss_G: 0.003607 Loss_D_real: -0.019463 Loss_D_fake 0.003441
[943/5000][145/535][97169] Loss_D: -0.020988 Loss_G: -0.015231 Loss_D_real: -0.008160 Loss_D_fake 0.012829
[943/5000][150/535][97170] Loss_D: -0.023284 Loss_G: -0.000136 Loss_D_real: -0.005762 Loss_D_fake 0.017522
[943/5000][155/535][97171] Loss_D: -0.022839 Loss_G: -0.000103 Loss_D_real: -0.014681 Loss_D_fake 0.008158
[943/5000][160/535][97172] Loss_D: -0.022708 Loss_G: 0.012748 Loss_D_real: -0.024813 Loss_D_fake -0.002105
[943/5000][165/535][97173] Loss_D: -0.021955 Loss_G: -0.026460 Loss_D_real: 0.000068 Loss_D_fake 0.022024
[943/5000][170/535][97174] Loss_D: -0.020450 Loss_G: 0.014231 Loss_D_real: -0.024863 Loss_D_fake -0.004413
[943/5000][175/535][97175] Loss_D: -0.021849 Loss_G: 0.005972 Loss_D_real: -0.006524 Loss_D_fake 0.015325
[943/5000][180/535][97176] Loss_D: -0.023306 Loss_G: 0.008219 Loss_D_real: -0.012646 Loss_D_fake 0.010659
[943/5000][185/535][97177] Loss_D: -0.022376 Loss_G: -0.002427 Loss_D_real: -0.024733 Loss_D_fake -0.002358
[943/5000][190/535][97178] Loss_D: -0.023015 Loss_G: -0.008592 Loss_D_real: -0.016258 Loss_D_fake 0.006758
[943/5000][195/535][97179] Loss_D: -0.022749 Loss_G: 0.021778 Loss_D_real: -0.021615 Loss_D_fake 0.001134
[943/5000][200/535][97180] Loss_D: -0.021879 Loss_G: 0.000073 Loss_D_real: -0.011049 Loss_D_fake 0.010830
[943/5000][205/535][97181] Loss_D: -0.021991 Loss_G: 0.010528 Loss_D_real: -0.006719 Loss_D_fake 0.015272
[943/5000][210/535][97182] Loss_D: -0.022496 Loss_G: -0.000063 Loss_D_real: -0.005554 Loss_D_fake 0.016941
[943/5000][215/535][97183] Loss_D: -0.021244 Loss_G: 0.003931 Loss_D_real: -0.022068 Loss_D_fake -0.000824
[943/5000][220/535][97184] Loss_D: -0.022594 Loss_G: 0.003302 Loss_D_real: -0.014692 Loss_D_fake 0.007903
[943/5000][225/535][97185] Loss_D: -0.020973 Loss_G: -0.008598 Loss_D_real: -0.013865 Loss_D_fake 0.007108
[943/5000][230/535][97186] Loss_D: -0.021031 Loss_G: 0.022113 Loss_D_real: -0.025364 Loss_D_fake -0.004333
[943/5000][235/535][97187] Loss_D: -0.022564 Loss_G: 0.012866 Loss_D_real: -0.022020 Loss_D_fake 0.000544
[943/5000][240/535][97188] Loss_D: -0.021770 Loss_G: -0.005861 Loss_D_real: 0.009815 Loss_D_fake 0.031585
[943/5000][245/535][97189] Loss_D: -0.021836 Loss_G: 0.006008 Loss_D_real: -0.015135 Loss_D_fake 0.006701
[943/5000][250/535][97190] Loss_D: -0.022507 Loss_G: 0.012892 Loss_D_real: -0.018250 Loss_D_fake 0.004258
[943/5000][255/535][97191] Loss_D: -0.022164 Loss_G: 0.021355 Loss_D_real: -0.030575 Loss_D_fake -0.008411
[943/5000][260/535][97192] Loss_D: -0.023027 Loss_G: 0.004028 Loss_D_real: -0.013034 Loss_D_fake 0.009993
[943/5000][265/535][97193] Loss_D: -0.022467 Loss_G: 0.018549 Loss_D_real: -0.020833 Loss_D_fake 0.001635
[943/5000][270/535][97194] Loss_D: -0.023649 Loss_G: -0.011073 Loss_D_real: -0.011162 Loss_D_fake 0.012487
[943/5000][275/535][97195] Loss_D: -0.021526 Loss_G: -0.015919 Loss_D_real: -0.003079 Loss_D_fake 0.018447
[943/5000][280/535][97196] Loss_D: -0.022429 Loss_G: 0.023719 Loss_D_real: -0.025156 Loss_D_fake -0.002727
[943/5000][285/535][97197] Loss_D: -0.022798 Loss_G: 0.012555 Loss_D_real: -0.019419 Loss_D_fake 0.003379
[943/5000][290/535][97198] Loss_D: -0.021284 Loss_G: 0.019367 Loss_D_real: -0.026584 Loss_D_fake -0.005300
[943/5000][295/535][97199] Loss_D: -0.023093 Loss_G: -0.006514 Loss_D_real: -0.012801 Loss_D_fake 0.010293
[943/5000][300/535][97200] Loss_D: -0.023434 Loss_G: 0.008745 Loss_D_real: -0.015295 Loss_D_fake 0.008139
[943/5000][305/535][97201] Loss_D: -0.022893 Loss_G: 0.017281 Loss_D_real: -0.032721 Loss_D_fake -0.009828
[943/5000][310/535][97202] Loss_D: -0.021760 Loss_G: 0.004491 Loss_D_real: -0.022192 Loss_D_fake -0.000432
[943/5000][315/535][97203] Loss_D: -0.023196 Loss_G: 0.014576 Loss_D_real: -0.019411 Loss_D_fake 0.003785
[943/5000][320/535][97204] Loss_D: -0.022709 Loss_G: -0.008476 Loss_D_real: -0.012660 Loss_D_fake 0.010049
[943/5000][325/535][97205] Loss_D: -0.022879 Loss_G: 0.019176 Loss_D_real: -0.022725 Loss_D_fake 0.000155
[943/5000][330/535][97206] Loss_D: -0.021428 Loss_G: 0.015227 Loss_D_real: -0.026745 Loss_D_fake -0.005317
[943/5000][335/535][97207] Loss_D: -0.022132 Loss_G: 0.015985 Loss_D_real: -0.029291 Loss_D_fake -0.007160
[943/5000][340/535][97208] Loss_D: -0.022467 Loss_G: 0.015174 Loss_D_real: -0.029020 Loss_D_fake -0.006553
[943/5000][345/535][97209] Loss_D: -0.022013 Loss_G: 0.028276 Loss_D_real: -0.030098 Loss_D_fake -0.008086
[943/5000][350/535][97210] Loss_D: -0.021661 Loss_G: -0.014076 Loss_D_real: -0.004458 Loss_D_fake 0.017203
[943/5000][355/535][97211] Loss_D: -0.022101 Loss_G: 0.000322 Loss_D_real: -0.025443 Loss_D_fake -0.003342
[943/5000][360/535][97212] Loss_D: -0.023026 Loss_G: 0.011697 Loss_D_real: -0.014977 Loss_D_fake 0.008049
[943/5000][365/535][97213] Loss_D: -0.022705 Loss_G: 0.007686 Loss_D_real: -0.018331 Loss_D_fake 0.004374
[943/5000][370/535][97214] Loss_D: -0.022968 Loss_G: -0.003747 Loss_D_real: -0.013011 Loss_D_fake 0.009957
[943/5000][375/535][97215] Loss_D: -0.021787 Loss_G: 0.008817 Loss_D_real: -0.015266 Loss_D_fake 0.006521
[943/5000][380/535][97216] Loss_D: -0.023564 Loss_G: 0.009625 Loss_D_real: -0.015036 Loss_D_fake 0.008527
[943/5000][385/535][97217] Loss_D: -0.021615 Loss_G: 0.009291 Loss_D_real: -0.028381 Loss_D_fake -0.006766
[943/5000][390/535][97218] Loss_D: -0.023944 Loss_G: 0.004997 Loss_D_real: -0.008288 Loss_D_fake 0.015656
[943/5000][395/535][97219] Loss_D: -0.023582 Loss_G: 0.018966 Loss_D_real: -0.018320 Loss_D_fake 0.005262
[943/5000][400/535][97220] Loss_D: -0.021640 Loss_G: 0.016455 Loss_D_real: -0.040259 Loss_D_fake -0.018619
[943/5000][405/535][97221] Loss_D: -0.021545 Loss_G: 0.015166 Loss_D_real: -0.026438 Loss_D_fake -0.004894
[943/5000][410/535][97222] Loss_D: -0.023543 Loss_G: -0.003591 Loss_D_real: -0.016117 Loss_D_fake 0.007426
[943/5000][415/535][97223] Loss_D: -0.022629 Loss_G: 0.005684 Loss_D_real: -0.020244 Loss_D_fake 0.002385
[943/5000][420/535][97224] Loss_D: -0.022925 Loss_G: 0.019527 Loss_D_real: -0.023917 Loss_D_fake -0.000992
[943/5000][425/535][97225] Loss_D: -0.021806 Loss_G: 0.005086 Loss_D_real: -0.017103 Loss_D_fake 0.004704
[943/5000][430/535][97226] Loss_D: -0.023151 Loss_G: 0.004956 Loss_D_real: -0.019357 Loss_D_fake 0.003794
[943/5000][435/535][97227] Loss_D: -0.022257 Loss_G: 0.015494 Loss_D_real: -0.029383 Loss_D_fake -0.007126
[943/5000][440/535][97228] Loss_D: -0.019234 Loss_G: 0.031334 Loss_D_real: -0.045584 Loss_D_fake -0.026350
[943/5000][445/535][97229] Loss_D: -0.023294 Loss_G: 0.003429 Loss_D_real: -0.018880 Loss_D_fake 0.004414
[943/5000][450/535][97230] Loss_D: -0.022950 Loss_G: -0.013276 Loss_D_real: -0.022107 Loss_D_fake 0.000843
[943/5000][455/535][97231] Loss_D: -0.021022 Loss_G: 0.022399 Loss_D_real: -0.027403 Loss_D_fake -0.006381
[943/5000][460/535][97232] Loss_D: -0.023175 Loss_G: 0.007295 Loss_D_real: -0.028553 Loss_D_fake -0.005378
[943/5000][465/535][97233] Loss_D: -0.023979 Loss_G: 0.009933 Loss_D_real: -0.019462 Loss_D_fake 0.004517
[943/5000][470/535][97234] Loss_D: -0.022800 Loss_G: 0.006223 Loss_D_real: -0.024139 Loss_D_fake -0.001339
[943/5000][475/535][97235] Loss_D: -0.023032 Loss_G: 0.014696 Loss_D_real: -0.019277 Loss_D_fake 0.003756
[943/5000][480/535][97236] Loss_D: -0.023147 Loss_G: -0.003897 Loss_D_real: 0.001958 Loss_D_fake 0.025105
[943/5000][485/535][97237] Loss_D: -0.023108 Loss_G: 0.011708 Loss_D_real: -0.025209 Loss_D_fake -0.002101
[943/5000][490/535][97238] Loss_D: -0.021661 Loss_G: -0.010772 Loss_D_real: -0.011989 Loss_D_fake 0.009672
[943/5000][495/535][97239] Loss_D: -0.024125 Loss_G: 0.008350 Loss_D_real: -0.017899 Loss_D_fake 0.006226
[943/5000][500/535][97240] Loss_D: -0.021650 Loss_G: 0.007976 Loss_D_real: -0.025366 Loss_D_fake -0.003716
[943/5000][505/535][97241] Loss_D: -0.020997 Loss_G: -0.011395 Loss_D_real: -0.010209 Loss_D_fake 0.010788
[943/5000][510/535][97242] Loss_D: -0.022788 Loss_G: 0.020928 Loss_D_real: -0.029017 Loss_D_fake -0.006229
[943/5000][515/535][97243] Loss_D: -0.021315 Loss_G: 0.012134 Loss_D_real: -0.022338 Loss_D_fake -0.001023
[943/5000][520/535][97244] Loss_D: -0.022236 Loss_G: 0.017725 Loss_D_real: -0.019647 Loss_D_fake 0.002588
[943/5000][525/535][97245] Loss_D: -0.022566 Loss_G: 0.002660 Loss_D_real: -0.016523 Loss_D_fake 0.006043
[943/5000][530/535][97246] Loss_D: -0.021654 Loss_G: 0.011562 Loss_D_real: -0.020701 Loss_D_fake 0.000953
[943/5000][535/535][97247] Loss_D: -0.023519 Loss_G: -0.000796 Loss_D_real: -0.014413 Loss_D_fake 0.009106
[944/5000][5/535][97248] Loss_D: -0.022437 Loss_G: 0.008919 Loss_D_real: -0.022728 Loss_D_fake -0.000292
[944/5000][10/535][97249] Loss_D: -0.021081 Loss_G: -0.004707 Loss_D_real: -0.013533 Loss_D_fake 0.007548
[944/5000][15/535][97250] Loss_D: -0.021484 Loss_G: 0.003787 Loss_D_real: -0.016935 Loss_D_fake 0.004549
[944/5000][20/535][97251] Loss_D: -0.021447 Loss_G: 0.011023 Loss_D_real: -0.018469 Loss_D_fake 0.002977
[944/5000][25/535][97252] Loss_D: -0.021460 Loss_G: 0.001819 Loss_D_real: -0.014144 Loss_D_fake 0.007315
[944/5000][30/535][97253] Loss_D: -0.021052 Loss_G: 0.006320 Loss_D_real: -0.019623 Loss_D_fake 0.001428
[944/5000][35/535][97254] Loss_D: -0.021301 Loss_G: 0.009364 Loss_D_real: -0.017377 Loss_D_fake 0.003925
[944/5000][40/535][97255] Loss_D: -0.022287 Loss_G: -0.003043 Loss_D_real: -0.016860 Loss_D_fake 0.005428
[944/5000][45/535][97256] Loss_D: -0.022506 Loss_G: 0.011433 Loss_D_real: -0.033623 Loss_D_fake -0.011117
[944/5000][50/535][97257] Loss_D: -0.022736 Loss_G: 0.005419 Loss_D_real: -0.019094 Loss_D_fake 0.003642
[944/5000][55/535][97258] Loss_D: -0.021143 Loss_G: 0.000488 Loss_D_real: -0.019151 Loss_D_fake 0.001992
[944/5000][60/535][97259] Loss_D: -0.022273 Loss_G: 0.012556 Loss_D_real: -0.035152 Loss_D_fake -0.012879
[944/5000][65/535][97260] Loss_D: -0.022573 Loss_G: 0.019487 Loss_D_real: -0.023690 Loss_D_fake -0.001117
[944/5000][70/535][97261] Loss_D: -0.022394 Loss_G: 0.013440 Loss_D_real: -0.019105 Loss_D_fake 0.003289
[944/5000][75/535][97262] Loss_D: -0.022073 Loss_G: -0.012416 Loss_D_real: -0.007694 Loss_D_fake 0.014378
[944/5000][80/535][97263] Loss_D: -0.022536 Loss_G: 0.015325 Loss_D_real: -0.023696 Loss_D_fake -0.001160
[944/5000][85/535][97264] Loss_D: -0.021039 Loss_G: 0.014541 Loss_D_real: -0.028435 Loss_D_fake -0.007396
[944/5000][90/535][97265] Loss_D: -0.022470 Loss_G: 0.013414 Loss_D_real: -0.017147 Loss_D_fake 0.005323
[944/5000][95/535][97266] Loss_D: -0.022044 Loss_G: -0.002468 Loss_D_real: -0.015522 Loss_D_fake 0.006523
[944/5000][100/535][97267] Loss_D: -0.023384 Loss_G: 0.015246 Loss_D_real: -0.027811 Loss_D_fake -0.004428
[944/5000][105/535][97268] Loss_D: -0.023467 Loss_G: -0.015167 Loss_D_real: -0.012404 Loss_D_fake 0.011063
[944/5000][110/535][97269] Loss_D: -0.023031 Loss_G: 0.031465 Loss_D_real: -0.023130 Loss_D_fake -0.000099
[944/5000][115/535][97270] Loss_D: -0.022170 Loss_G: -0.011647 Loss_D_real: -0.005077 Loss_D_fake 0.017094
[944/5000][120/535][97271] Loss_D: -0.022268 Loss_G: 0.024640 Loss_D_real: -0.033918 Loss_D_fake -0.011650
[944/5000][125/535][97272] Loss_D: -0.022848 Loss_G: -0.002893 Loss_D_real: -0.016961 Loss_D_fake 0.005887
[944/5000][130/535][97273] Loss_D: -0.021929 Loss_G: -0.001496 Loss_D_real: 0.002223 Loss_D_fake 0.024152
[944/5000][135/535][97274] Loss_D: -0.022300 Loss_G: 0.015196 Loss_D_real: -0.024872 Loss_D_fake -0.002572
[944/5000][140/535][97275] Loss_D: -0.022855 Loss_G: 0.010330 Loss_D_real: -0.026726 Loss_D_fake -0.003871
[944/5000][145/535][97276] Loss_D: -0.022914 Loss_G: 0.019470 Loss_D_real: -0.021920 Loss_D_fake 0.000994
[944/5000][150/535][97277] Loss_D: -0.022119 Loss_G: -0.002772 Loss_D_real: -0.008299 Loss_D_fake 0.013820
[944/5000][155/535][97278] Loss_D: -0.021051 Loss_G: -0.007650 Loss_D_real: -0.011893 Loss_D_fake 0.009158
[944/5000][160/535][97279] Loss_D: -0.023370 Loss_G: -0.003644 Loss_D_real: -0.010976 Loss_D_fake 0.012394
[944/5000][165/535][97280] Loss_D: -0.024351 Loss_G: 0.005768 Loss_D_real: -0.020304 Loss_D_fake 0.004047
[944/5000][170/535][97281] Loss_D: -0.022066 Loss_G: 0.012791 Loss_D_real: -0.022025 Loss_D_fake 0.000041
[944/5000][175/535][97282] Loss_D: -0.022671 Loss_G: 0.025256 Loss_D_real: -0.034225 Loss_D_fake -0.011554
[944/5000][180/535][97283] Loss_D: -0.023009 Loss_G: 0.007275 Loss_D_real: -0.017754 Loss_D_fake 0.005255
[944/5000][185/535][97284] Loss_D: -0.022416 Loss_G: 0.003553 Loss_D_real: -0.025941 Loss_D_fake -0.003525
[944/5000][190/535][97285] Loss_D: -0.021605 Loss_G: -0.000137 Loss_D_real: -0.004244 Loss_D_fake 0.017360
[944/5000][195/535][97286] Loss_D: -0.022884 Loss_G: 0.018543 Loss_D_real: -0.025852 Loss_D_fake -0.002968
[944/5000][200/535][97287] Loss_D: -0.022401 Loss_G: 0.006313 Loss_D_real: -0.026586 Loss_D_fake -0.004185
[944/5000][205/535][97288] Loss_D: -0.022969 Loss_G: 0.002243 Loss_D_real: -0.008992 Loss_D_fake 0.013977
[944/5000][210/535][97289] Loss_D: -0.023588 Loss_G: -0.006689 Loss_D_real: -0.014630 Loss_D_fake 0.008958
[944/5000][215/535][97290] Loss_D: -0.022361 Loss_G: 0.030337 Loss_D_real: -0.029676 Loss_D_fake -0.007316
[944/5000][220/535][97291] Loss_D: -0.021058 Loss_G: 0.004185 Loss_D_real: -0.018749 Loss_D_fake 0.002309
[944/5000][225/535][97292] Loss_D: -0.021120 Loss_G: 0.010861 Loss_D_real: -0.023802 Loss_D_fake -0.002682
[944/5000][230/535][97293] Loss_D: -0.021843 Loss_G: 0.011170 Loss_D_real: -0.015429 Loss_D_fake 0.006414
[944/5000][235/535][97294] Loss_D: -0.023398 Loss_G: 0.008090 Loss_D_real: -0.018057 Loss_D_fake 0.005341
[944/5000][240/535][97295] Loss_D: -0.021781 Loss_G: 0.023467 Loss_D_real: -0.016814 Loss_D_fake 0.004967
[944/5000][245/535][97296] Loss_D: -0.020531 Loss_G: 0.001909 Loss_D_real: -0.019510 Loss_D_fake 0.001021
[944/5000][250/535][97297] Loss_D: -0.023065 Loss_G: 0.010651 Loss_D_real: -0.022706 Loss_D_fake 0.000359
[944/5000][255/535][97298] Loss_D: -0.023247 Loss_G: -0.003043 Loss_D_real: -0.023220 Loss_D_fake 0.000028
[944/5000][260/535][97299] Loss_D: -0.023410 Loss_G: 0.019749 Loss_D_real: -0.023711 Loss_D_fake -0.000301
[944/5000][265/535][97300] Loss_D: -0.022167 Loss_G: -0.001383 Loss_D_real: 0.004084 Loss_D_fake 0.026252
[944/5000][270/535][97301] Loss_D: -0.021753 Loss_G: 0.008922 Loss_D_real: -0.019299 Loss_D_fake 0.002454
[944/5000][275/535][97302] Loss_D: -0.022369 Loss_G: 0.016912 Loss_D_real: -0.033456 Loss_D_fake -0.011087
[944/5000][280/535][97303] Loss_D: -0.021443 Loss_G: 0.017749 Loss_D_real: -0.023718 Loss_D_fake -0.002275
[944/5000][285/535][97304] Loss_D: -0.022930 Loss_G: -0.006878 Loss_D_real: -0.020480 Loss_D_fake 0.002450
[944/5000][290/535][97305] Loss_D: -0.023724 Loss_G: 0.001851 Loss_D_real: -0.013175 Loss_D_fake 0.010549
[944/5000][295/535][97306] Loss_D: -0.022135 Loss_G: 0.001139 Loss_D_real: -0.011379 Loss_D_fake 0.010756
[944/5000][300/535][97307] Loss_D: -0.022213 Loss_G: 0.018985 Loss_D_real: -0.025925 Loss_D_fake -0.003712
[944/5000][305/535][97308] Loss_D: -0.022275 Loss_G: 0.009804 Loss_D_real: -0.024063 Loss_D_fake -0.001788
[944/5000][310/535][97309] Loss_D: -0.023477 Loss_G: -0.014041 Loss_D_real: -0.009058 Loss_D_fake 0.014419
[944/5000][315/535][97310] Loss_D: -0.022906 Loss_G: 0.018410 Loss_D_real: -0.023760 Loss_D_fake -0.000854
[944/5000][320/535][97311] Loss_D: -0.023106 Loss_G: -0.011472 Loss_D_real: -0.012267 Loss_D_fake 0.010839
[944/5000][325/535][97312] Loss_D: -0.022827 Loss_G: 0.001213 Loss_D_real: -0.015242 Loss_D_fake 0.007584
[944/5000][330/535][97313] Loss_D: -0.022816 Loss_G: 0.014016 Loss_D_real: -0.026729 Loss_D_fake -0.003913
[944/5000][335/535][97314] Loss_D: -0.022380 Loss_G: 0.010487 Loss_D_real: -0.014106 Loss_D_fake 0.008274
[944/5000][340/535][97315] Loss_D: -0.021526 Loss_G: -0.019833 Loss_D_real: -0.005221 Loss_D_fake 0.016304
[944/5000][345/535][97316] Loss_D: -0.021943 Loss_G: 0.009241 Loss_D_real: -0.019420 Loss_D_fake 0.002523
[944/5000][350/535][97317] Loss_D: -0.021404 Loss_G: 0.022455 Loss_D_real: -0.033001 Loss_D_fake -0.011596
[944/5000][355/535][97318] Loss_D: -0.022132 Loss_G: 0.028767 Loss_D_real: -0.030266 Loss_D_fake -0.008134
[944/5000][360/535][97319] Loss_D: -0.023171 Loss_G: -0.007338 Loss_D_real: -0.022068 Loss_D_fake 0.001103
[944/5000][365/535][97320] Loss_D: -0.021367 Loss_G: -0.008406 Loss_D_real: -0.016892 Loss_D_fake 0.004475
[944/5000][370/535][97321] Loss_D: -0.021237 Loss_G: 0.021313 Loss_D_real: -0.029533 Loss_D_fake -0.008296
[944/5000][375/535][97322] Loss_D: -0.022305 Loss_G: -0.003517 Loss_D_real: -0.011991 Loss_D_fake 0.010313
[944/5000][380/535][97323] Loss_D: -0.022600 Loss_G: 0.005965 Loss_D_real: -0.011471 Loss_D_fake 0.011129
[944/5000][385/535][97324] Loss_D: -0.021916 Loss_G: -0.004031 Loss_D_real: -0.004821 Loss_D_fake 0.017095
[944/5000][390/535][97325] Loss_D: -0.021804 Loss_G: 0.021560 Loss_D_real: -0.029513 Loss_D_fake -0.007710
[944/5000][395/535][97326] Loss_D: -0.022781 Loss_G: -0.000941 Loss_D_real: -0.009678 Loss_D_fake 0.013103
[944/5000][400/535][97327] Loss_D: -0.023535 Loss_G: 0.010712 Loss_D_real: -0.023461 Loss_D_fake 0.000073
[944/5000][405/535][97328] Loss_D: -0.021589 Loss_G: -0.003974 Loss_D_real: -0.016771 Loss_D_fake 0.004818
[944/5000][410/535][97329] Loss_D: -0.023197 Loss_G: 0.006496 Loss_D_real: -0.021009 Loss_D_fake 0.002188
[944/5000][415/535][97330] Loss_D: -0.021332 Loss_G: 0.018999 Loss_D_real: -0.028108 Loss_D_fake -0.006776
[944/5000][420/535][97331] Loss_D: -0.021260 Loss_G: 0.010089 Loss_D_real: -0.028701 Loss_D_fake -0.007442
[944/5000][425/535][97332] Loss_D: -0.021434 Loss_G: 0.013569 Loss_D_real: -0.029316 Loss_D_fake -0.007883
[944/5000][430/535][97333] Loss_D: -0.022475 Loss_G: 0.015343 Loss_D_real: -0.028682 Loss_D_fake -0.006207
[944/5000][435/535][97334] Loss_D: -0.020814 Loss_G: 0.023088 Loss_D_real: -0.025532 Loss_D_fake -0.004718
[944/5000][440/535][97335] Loss_D: -0.021350 Loss_G: -0.003596 Loss_D_real: -0.002430 Loss_D_fake 0.018920
[944/5000][445/535][97336] Loss_D: -0.023643 Loss_G: 0.017258 Loss_D_real: -0.023599 Loss_D_fake 0.000043
[944/5000][450/535][97337] Loss_D: -0.021893 Loss_G: 0.006078 Loss_D_real: -0.022960 Loss_D_fake -0.001066
[944/5000][455/535][97338] Loss_D: -0.023222 Loss_G: 0.011132 Loss_D_real: -0.019612 Loss_D_fake 0.003610
[944/5000][460/535][97339] Loss_D: -0.022508 Loss_G: 0.004151 Loss_D_real: -0.011050 Loss_D_fake 0.011458
[944/5000][465/535][97340] Loss_D: -0.021485 Loss_G: 0.000168 Loss_D_real: -0.013002 Loss_D_fake 0.008483
[944/5000][470/535][97341] Loss_D: -0.020950 Loss_G: 0.021658 Loss_D_real: -0.033346 Loss_D_fake -0.012396
[944/5000][475/535][97342] Loss_D: -0.021909 Loss_G: 0.001198 Loss_D_real: -0.012809 Loss_D_fake 0.009100
[944/5000][480/535][97343] Loss_D: -0.022255 Loss_G: 0.006406 Loss_D_real: -0.018815 Loss_D_fake 0.003440
[944/5000][485/535][97344] Loss_D: -0.021535 Loss_G: 0.002436 Loss_D_real: -0.004337 Loss_D_fake 0.017199
[944/5000][490/535][97345] Loss_D: -0.021978 Loss_G: 0.015505 Loss_D_real: -0.027933 Loss_D_fake -0.005955
[944/5000][495/535][97346] Loss_D: -0.022391 Loss_G: 0.020207 Loss_D_real: -0.025870 Loss_D_fake -0.003480
[944/5000][500/535][97347] Loss_D: -0.022962 Loss_G: 0.008787 Loss_D_real: -0.011702 Loss_D_fake 0.011260
[944/5000][505/535][97348] Loss_D: -0.022413 Loss_G: 0.012063 Loss_D_real: -0.016689 Loss_D_fake 0.005724
[944/5000][510/535][97349] Loss_D: -0.022284 Loss_G: 0.003801 Loss_D_real: -0.007326 Loss_D_fake 0.014958
[944/5000][515/535][97350] Loss_D: -0.020841 Loss_G: -0.020001 Loss_D_real: -0.006052 Loss_D_fake 0.014789
[944/5000][520/535][97351] Loss_D: -0.022541 Loss_G: 0.006738 Loss_D_real: -0.015265 Loss_D_fake 0.007276
[944/5000][525/535][97352] Loss_D: -0.023075 Loss_G: 0.007534 Loss_D_real: -0.023957 Loss_D_fake -0.000883
[944/5000][530/535][97353] Loss_D: -0.022825 Loss_G: 0.008669 Loss_D_real: -0.025962 Loss_D_fake -0.003137
[944/5000][535/535][97354] Loss_D: -0.021788 Loss_G: 0.011988 Loss_D_real: -0.019089 Loss_D_fake 0.002699
[945/5000][5/535][97355] Loss_D: -0.023061 Loss_G: 0.028983 Loss_D_real: -0.026659 Loss_D_fake -0.003598
[945/5000][10/535][97356] Loss_D: -0.022213 Loss_G: 0.005329 Loss_D_real: -0.025079 Loss_D_fake -0.002866
[945/5000][15/535][97357] Loss_D: -0.023571 Loss_G: 0.001775 Loss_D_real: -0.011729 Loss_D_fake 0.011842
[945/5000][20/535][97358] Loss_D: -0.023423 Loss_G: -0.005505 Loss_D_real: -0.007348 Loss_D_fake 0.016075
[945/5000][25/535][97359] Loss_D: -0.022538 Loss_G: 0.011399 Loss_D_real: -0.027428 Loss_D_fake -0.004890
[945/5000][30/535][97360] Loss_D: -0.023077 Loss_G: -0.001097 Loss_D_real: -0.013931 Loss_D_fake 0.009147
[945/5000][35/535][97361] Loss_D: -0.022676 Loss_G: 0.003456 Loss_D_real: -0.019906 Loss_D_fake 0.002770
[945/5000][40/535][97362] Loss_D: -0.022781 Loss_G: 0.012212 Loss_D_real: -0.027863 Loss_D_fake -0.005082
[945/5000][45/535][97363] Loss_D: -0.021922 Loss_G: -0.004848 Loss_D_real: -0.006510 Loss_D_fake 0.015412
[945/5000][50/535][97364] Loss_D: -0.022448 Loss_G: 0.014414 Loss_D_real: -0.029164 Loss_D_fake -0.006716
[945/5000][55/535][97365] Loss_D: -0.023783 Loss_G: 0.008737 Loss_D_real: -0.019969 Loss_D_fake 0.003814
[945/5000][60/535][97366] Loss_D: -0.022751 Loss_G: 0.004489 Loss_D_real: -0.015432 Loss_D_fake 0.007319
[945/5000][65/535][97367] Loss_D: -0.023231 Loss_G: 0.005729 Loss_D_real: -0.021100 Loss_D_fake 0.002131
[945/5000][70/535][97368] Loss_D: -0.023559 Loss_G: 0.004785 Loss_D_real: -0.021200 Loss_D_fake 0.002359
[945/5000][75/535][97369] Loss_D: -0.021703 Loss_G: 0.013410 Loss_D_real: -0.028469 Loss_D_fake -0.006766
[945/5000][80/535][97370] Loss_D: -0.023351 Loss_G: 0.011461 Loss_D_real: -0.020312 Loss_D_fake 0.003039
[945/5000][85/535][97371] Loss_D: -0.021402 Loss_G: 0.020543 Loss_D_real: -0.032559 Loss_D_fake -0.011157
[945/5000][90/535][97372] Loss_D: -0.022743 Loss_G: -0.004034 Loss_D_real: -0.003580 Loss_D_fake 0.019163
[945/5000][95/535][97373] Loss_D: -0.022415 Loss_G: 0.005674 Loss_D_real: -0.006658 Loss_D_fake 0.015757
[945/5000][100/535][97374] Loss_D: -0.020913 Loss_G: 0.023801 Loss_D_real: -0.032333 Loss_D_fake -0.011420
[945/5000][105/535][97375] Loss_D: -0.022067 Loss_G: -0.005996 Loss_D_real: -0.019543 Loss_D_fake 0.002524
[945/5000][110/535][97376] Loss_D: -0.021900 Loss_G: 0.011937 Loss_D_real: -0.030897 Loss_D_fake -0.008997
[945/5000][115/535][97377] Loss_D: -0.023153 Loss_G: 0.018126 Loss_D_real: -0.020681 Loss_D_fake 0.002472
[945/5000][120/535][97378] Loss_D: -0.022493 Loss_G: 0.008106 Loss_D_real: -0.029714 Loss_D_fake -0.007221
[945/5000][125/535][97379] Loss_D: -0.021747 Loss_G: 0.012753 Loss_D_real: -0.016828 Loss_D_fake 0.004919
[945/5000][130/535][97380] Loss_D: -0.022169 Loss_G: 0.007418 Loss_D_real: -0.010629 Loss_D_fake 0.011541
[945/5000][135/535][97381] Loss_D: -0.021654 Loss_G: 0.002253 Loss_D_real: -0.017064 Loss_D_fake 0.004590
[945/5000][140/535][97382] Loss_D: -0.021457 Loss_G: -0.003082 Loss_D_real: -0.013880 Loss_D_fake 0.007576
[945/5000][145/535][97383] Loss_D: -0.021479 Loss_G: 0.017768 Loss_D_real: -0.029547 Loss_D_fake -0.008068
[945/5000][150/535][97384] Loss_D: -0.022006 Loss_G: 0.010865 Loss_D_real: -0.028592 Loss_D_fake -0.006586
[945/5000][155/535][97385] Loss_D: -0.022478 Loss_G: 0.017212 Loss_D_real: -0.026162 Loss_D_fake -0.003684
[945/5000][160/535][97386] Loss_D: -0.021119 Loss_G: 0.000335 Loss_D_real: -0.018103 Loss_D_fake 0.003016
[945/5000][165/535][97387] Loss_D: -0.022979 Loss_G: 0.008054 Loss_D_real: -0.030049 Loss_D_fake -0.007069
[945/5000][170/535][97388] Loss_D: -0.020899 Loss_G: 0.004271 Loss_D_real: -0.007332 Loss_D_fake 0.013566
[945/5000][175/535][97389] Loss_D: -0.021683 Loss_G: 0.014332 Loss_D_real: -0.017498 Loss_D_fake 0.004185
[945/5000][180/535][97390] Loss_D: -0.021989 Loss_G: -0.001863 Loss_D_real: -0.006138 Loss_D_fake 0.015851
[945/5000][185/535][97391] Loss_D: -0.023287 Loss_G: 0.005260 Loss_D_real: -0.026860 Loss_D_fake -0.003573
[945/5000][190/535][97392] Loss_D: -0.023708 Loss_G: 0.017740 Loss_D_real: -0.023798 Loss_D_fake -0.000090
[945/5000][195/535][97393] Loss_D: -0.022698 Loss_G: -0.003561 Loss_D_real: -0.009054 Loss_D_fake 0.013643
[945/5000][200/535][97394] Loss_D: -0.022669 Loss_G: 0.009363 Loss_D_real: -0.025542 Loss_D_fake -0.002873
[945/5000][205/535][97395] Loss_D: -0.021856 Loss_G: -0.015675 Loss_D_real: -0.004369 Loss_D_fake 0.017487
[945/5000][210/535][97396] Loss_D: -0.022285 Loss_G: 0.010514 Loss_D_real: -0.021505 Loss_D_fake 0.000780
[945/5000][215/535][97397] Loss_D: -0.023028 Loss_G: 0.020403 Loss_D_real: -0.028195 Loss_D_fake -0.005167
[945/5000][220/535][97398] Loss_D: -0.022766 Loss_G: 0.003609 Loss_D_real: -0.010433 Loss_D_fake 0.012332
[945/5000][225/535][97399] Loss_D: -0.022997 Loss_G: 0.005288 Loss_D_real: -0.012689 Loss_D_fake 0.010308
[945/5000][230/535][97400] Loss_D: -0.023827 Loss_G: 0.024721 Loss_D_real: -0.027924 Loss_D_fake -0.004097
[945/5000][235/535][97401] Loss_D: -0.023103 Loss_G: 0.003533 Loss_D_real: -0.016595 Loss_D_fake 0.006508
[945/5000][240/535][97402] Loss_D: -0.022386 Loss_G: -0.005801 Loss_D_real: -0.016349 Loss_D_fake 0.006037
[945/5000][245/535][97403] Loss_D: -0.023069 Loss_G: -0.000859 Loss_D_real: -0.009933 Loss_D_fake 0.013136
[945/5000][250/535][97404] Loss_D: -0.022274 Loss_G: -0.004987 Loss_D_real: -0.009185 Loss_D_fake 0.013089
[945/5000][255/535][97405] Loss_D: -0.022262 Loss_G: 0.029491 Loss_D_real: -0.029716 Loss_D_fake -0.007454
[945/5000][260/535][97406] Loss_D: -0.022479 Loss_G: -0.005485 Loss_D_real: -0.020150 Loss_D_fake 0.002329
[945/5000][265/535][97407] Loss_D: -0.022551 Loss_G: 0.015561 Loss_D_real: -0.030559 Loss_D_fake -0.008008
[945/5000][270/535][97408] Loss_D: -0.023891 Loss_G: 0.004523 Loss_D_real: -0.020758 Loss_D_fake 0.003133
[945/5000][275/535][97409] Loss_D: -0.022548 Loss_G: 0.017092 Loss_D_real: -0.025994 Loss_D_fake -0.003446
[945/5000][280/535][97410] Loss_D: -0.022051 Loss_G: 0.004765 Loss_D_real: -0.009581 Loss_D_fake 0.012470
[945/5000][285/535][97411] Loss_D: -0.022591 Loss_G: 0.006846 Loss_D_real: -0.017679 Loss_D_fake 0.004912
[945/5000][290/535][97412] Loss_D: -0.023106 Loss_G: 0.010813 Loss_D_real: -0.017605 Loss_D_fake 0.005501
[945/5000][295/535][97413] Loss_D: -0.022398 Loss_G: -0.012298 Loss_D_real: -0.007905 Loss_D_fake 0.014493
[945/5000][300/535][97414] Loss_D: -0.020797 Loss_G: 0.033578 Loss_D_real: -0.032837 Loss_D_fake -0.012040
[945/5000][305/535][97415] Loss_D: -0.020457 Loss_G: -0.023454 Loss_D_real: -0.002599 Loss_D_fake 0.017858
[945/5000][310/535][97416] Loss_D: -0.022544 Loss_G: -0.007935 Loss_D_real: -0.013933 Loss_D_fake 0.008612
[945/5000][315/535][97417] Loss_D: -0.022821 Loss_G: -0.009208 Loss_D_real: -0.018054 Loss_D_fake 0.004767
[945/5000][320/535][97418] Loss_D: -0.022359 Loss_G: 0.010209 Loss_D_real: -0.016739 Loss_D_fake 0.005619
[945/5000][325/535][97419] Loss_D: -0.022441 Loss_G: 0.005346 Loss_D_real: -0.021626 Loss_D_fake 0.000816
[945/5000][330/535][97420] Loss_D: -0.022661 Loss_G: 0.006169 Loss_D_real: -0.015759 Loss_D_fake 0.006903
[945/5000][335/535][97421] Loss_D: -0.023296 Loss_G: 0.019789 Loss_D_real: -0.022597 Loss_D_fake 0.000699
[945/5000][340/535][97422] Loss_D: -0.023091 Loss_G: -0.000298 Loss_D_real: -0.010505 Loss_D_fake 0.012586
[945/5000][345/535][97423] Loss_D: -0.022542 Loss_G: -0.003765 Loss_D_real: -0.010880 Loss_D_fake 0.011662
[945/5000][350/535][97424] Loss_D: -0.022636 Loss_G: 0.001875 Loss_D_real: -0.012827 Loss_D_fake 0.009809
[945/5000][355/535][97425] Loss_D: -0.021763 Loss_G: 0.024608 Loss_D_real: -0.027064 Loss_D_fake -0.005300
[945/5000][360/535][97426] Loss_D: -0.022912 Loss_G: 0.007307 Loss_D_real: -0.013899 Loss_D_fake 0.009013
[945/5000][365/535][97427] Loss_D: -0.021078 Loss_G: 0.028409 Loss_D_real: -0.032547 Loss_D_fake -0.011469
[945/5000][370/535][97428] Loss_D: -0.021833 Loss_G: 0.006540 Loss_D_real: -0.026008 Loss_D_fake -0.004175
[945/5000][375/535][97429] Loss_D: -0.023065 Loss_G: 0.008762 Loss_D_real: -0.014441 Loss_D_fake 0.008624
[945/5000][380/535][97430] Loss_D: -0.023365 Loss_G: 0.011727 Loss_D_real: -0.015254 Loss_D_fake 0.008112
[945/5000][385/535][97431] Loss_D: -0.023775 Loss_G: 0.018422 Loss_D_real: -0.029564 Loss_D_fake -0.005789
[945/5000][390/535][97432] Loss_D: -0.023631 Loss_G: -0.001257 Loss_D_real: -0.014603 Loss_D_fake 0.009029
[945/5000][395/535][97433] Loss_D: -0.022233 Loss_G: 0.022577 Loss_D_real: -0.039175 Loss_D_fake -0.016941
[945/5000][400/535][97434] Loss_D: -0.022682 Loss_G: 0.000300 Loss_D_real: -0.017349 Loss_D_fake 0.005333
[945/5000][405/535][97435] Loss_D: -0.021874 Loss_G: -0.010108 Loss_D_real: -0.003013 Loss_D_fake 0.018861
[945/5000][410/535][97436] Loss_D: -0.021420 Loss_G: 0.008287 Loss_D_real: -0.020109 Loss_D_fake 0.001311
[945/5000][415/535][97437] Loss_D: -0.023745 Loss_G: 0.016797 Loss_D_real: -0.027335 Loss_D_fake -0.003591
[945/5000][420/535][97438] Loss_D: -0.022045 Loss_G: 0.012738 Loss_D_real: -0.024487 Loss_D_fake -0.002441
[945/5000][425/535][97439] Loss_D: -0.022389 Loss_G: 0.024945 Loss_D_real: -0.022205 Loss_D_fake 0.000185
[945/5000][430/535][97440] Loss_D: -0.021567 Loss_G: 0.011230 Loss_D_real: -0.014399 Loss_D_fake 0.007168
[945/5000][435/535][97441] Loss_D: -0.022781 Loss_G: 0.009269 Loss_D_real: -0.028014 Loss_D_fake -0.005233
[945/5000][440/535][97442] Loss_D: -0.022978 Loss_G: -0.003070 Loss_D_real: -0.009333 Loss_D_fake 0.013644
[945/5000][445/535][97443] Loss_D: -0.021731 Loss_G: 0.003071 Loss_D_real: -0.016883 Loss_D_fake 0.004848
[945/5000][450/535][97444] Loss_D: -0.021166 Loss_G: 0.025043 Loss_D_real: -0.030006 Loss_D_fake -0.008840
[945/5000][455/535][97445] Loss_D: -0.021555 Loss_G: 0.012179 Loss_D_real: -0.027660 Loss_D_fake -0.006105
[945/5000][460/535][97446] Loss_D: -0.022386 Loss_G: 0.011595 Loss_D_real: -0.011732 Loss_D_fake 0.010653
[945/5000][465/535][97447] Loss_D: -0.022334 Loss_G: -0.010604 Loss_D_real: -0.008041 Loss_D_fake 0.014294
[945/5000][470/535][97448] Loss_D: -0.023638 Loss_G: 0.000923 Loss_D_real: -0.016201 Loss_D_fake 0.007437
[945/5000][475/535][97449] Loss_D: -0.023846 Loss_G: 0.013950 Loss_D_real: -0.023157 Loss_D_fake 0.000689
[945/5000][480/535][97450] Loss_D: -0.021637 Loss_G: 0.027258 Loss_D_real: -0.032132 Loss_D_fake -0.010494
[945/5000][485/535][97451] Loss_D: -0.023916 Loss_G: 0.013479 Loss_D_real: -0.028711 Loss_D_fake -0.004795
[945/5000][490/535][97452] Loss_D: -0.022633 Loss_G: 0.004830 Loss_D_real: -0.011356 Loss_D_fake 0.011277
[945/5000][495/535][97453] Loss_D: -0.024072 Loss_G: 0.022170 Loss_D_real: -0.019595 Loss_D_fake 0.004476
[945/5000][500/535][97454] Loss_D: -0.022821 Loss_G: 0.006964 Loss_D_real: -0.019972 Loss_D_fake 0.002849
[945/5000][505/535][97455] Loss_D: -0.022071 Loss_G: 0.017189 Loss_D_real: -0.023926 Loss_D_fake -0.001856
[945/5000][510/535][97456] Loss_D: -0.022333 Loss_G: 0.000290 Loss_D_real: -0.007178 Loss_D_fake 0.015155
[945/5000][515/535][97457] Loss_D: -0.021225 Loss_G: 0.014482 Loss_D_real: -0.025796 Loss_D_fake -0.004571
[945/5000][520/535][97458] Loss_D: -0.022997 Loss_G: 0.004195 Loss_D_real: -0.016421 Loss_D_fake 0.006576
[945/5000][525/535][97459] Loss_D: -0.022671 Loss_G: 0.013888 Loss_D_real: -0.016422 Loss_D_fake 0.006249
[945/5000][530/535][97460] Loss_D: -0.023366 Loss_G: 0.006413 Loss_D_real: -0.021808 Loss_D_fake 0.001558
[945/5000][535/535][97461] Loss_D: -0.021287 Loss_G: -0.020935 Loss_D_real: -0.014087 Loss_D_fake 0.007199
[946/5000][5/535][97462] Loss_D: -0.021353 Loss_G: 0.010129 Loss_D_real: -0.020065 Loss_D_fake 0.001289
[946/5000][10/535][97463] Loss_D: -0.022333 Loss_G: 0.024979 Loss_D_real: -0.033521 Loss_D_fake -0.011189
[946/5000][15/535][97464] Loss_D: -0.022117 Loss_G: 0.022285 Loss_D_real: -0.023738 Loss_D_fake -0.001621
[946/5000][20/535][97465] Loss_D: -0.022424 Loss_G: 0.016684 Loss_D_real: -0.036071 Loss_D_fake -0.013647
[946/5000][25/535][97466] Loss_D: -0.021805 Loss_G: 0.012684 Loss_D_real: -0.014907 Loss_D_fake 0.006898
[946/5000][30/535][97467] Loss_D: -0.022711 Loss_G: -0.003265 Loss_D_real: -0.016823 Loss_D_fake 0.005889
[946/5000][35/535][97468] Loss_D: -0.022703 Loss_G: 0.005697 Loss_D_real: -0.018698 Loss_D_fake 0.004005
[946/5000][40/535][97469] Loss_D: -0.021766 Loss_G: 0.014146 Loss_D_real: -0.034683 Loss_D_fake -0.012916
[946/5000][45/535][97470] Loss_D: -0.022285 Loss_G: 0.000426 Loss_D_real: -0.005019 Loss_D_fake 0.017267
[946/5000][50/535][97471] Loss_D: -0.022089 Loss_G: 0.016137 Loss_D_real: -0.019110 Loss_D_fake 0.002979
[946/5000][55/535][97472] Loss_D: -0.022915 Loss_G: 0.019253 Loss_D_real: -0.022652 Loss_D_fake 0.000264
[946/5000][60/535][97473] Loss_D: -0.022833 Loss_G: 0.005190 Loss_D_real: -0.018158 Loss_D_fake 0.004675
[946/5000][65/535][97474] Loss_D: -0.023027 Loss_G: 0.000883 Loss_D_real: -0.012611 Loss_D_fake 0.010416
[946/5000][70/535][97475] Loss_D: -0.023112 Loss_G: -0.000518 Loss_D_real: -0.027460 Loss_D_fake -0.004348
[946/5000][75/535][97476] Loss_D: -0.021515 Loss_G: -0.013909 Loss_D_real: -0.006974 Loss_D_fake 0.014541
[946/5000][80/535][97477] Loss_D: -0.019881 Loss_G: 0.022445 Loss_D_real: -0.035317 Loss_D_fake -0.015436
[946/5000][85/535][97478] Loss_D: -0.022403 Loss_G: 0.006216 Loss_D_real: -0.018141 Loss_D_fake 0.004262
[946/5000][90/535][97479] Loss_D: -0.021818 Loss_G: 0.017539 Loss_D_real: -0.016381 Loss_D_fake 0.005437
[946/5000][95/535][97480] Loss_D: -0.021708 Loss_G: 0.007781 Loss_D_real: -0.016437 Loss_D_fake 0.005271
[946/5000][100/535][97481] Loss_D: -0.021454 Loss_G: 0.010713 Loss_D_real: -0.015186 Loss_D_fake 0.006268
[946/5000][105/535][97482] Loss_D: -0.020438 Loss_G: -0.012881 Loss_D_real: -0.001754 Loss_D_fake 0.018684
[946/5000][110/535][97483] Loss_D: -0.022088 Loss_G: 0.003398 Loss_D_real: -0.022153 Loss_D_fake -0.000064
[946/5000][115/535][97484] Loss_D: -0.021826 Loss_G: 0.006105 Loss_D_real: -0.016670 Loss_D_fake 0.005155
[946/5000][120/535][97485] Loss_D: -0.021974 Loss_G: 0.000861 Loss_D_real: -0.017540 Loss_D_fake 0.004434
[946/5000][125/535][97486] Loss_D: -0.022432 Loss_G: 0.021116 Loss_D_real: -0.026877 Loss_D_fake -0.004445
[946/5000][130/535][97487] Loss_D: -0.022950 Loss_G: 0.007268 Loss_D_real: -0.028813 Loss_D_fake -0.005863
[946/5000][135/535][97488] Loss_D: -0.022895 Loss_G: 0.005128 Loss_D_real: -0.013903 Loss_D_fake 0.008992
[946/5000][140/535][97489] Loss_D: -0.023332 Loss_G: 0.008965 Loss_D_real: -0.026856 Loss_D_fake -0.003524
[946/5000][145/535][97490] Loss_D: -0.021790 Loss_G: 0.030423 Loss_D_real: -0.023424 Loss_D_fake -0.001634
[946/5000][150/535][97491] Loss_D: -0.023332 Loss_G: 0.002755 Loss_D_real: -0.022715 Loss_D_fake 0.000617
[946/5000][155/535][97492] Loss_D: -0.022908 Loss_G: -0.004500 Loss_D_real: -0.018805 Loss_D_fake 0.004103
[946/5000][160/535][97493] Loss_D: -0.022510 Loss_G: 0.006996 Loss_D_real: -0.012091 Loss_D_fake 0.010418
[946/5000][165/535][97494] Loss_D: -0.022241 Loss_G: 0.002035 Loss_D_real: -0.011472 Loss_D_fake 0.010769
[946/5000][170/535][97495] Loss_D: -0.021898 Loss_G: 0.020519 Loss_D_real: -0.029099 Loss_D_fake -0.007201
[946/5000][175/535][97496] Loss_D: -0.021671 Loss_G: 0.013917 Loss_D_real: -0.024735 Loss_D_fake -0.003064
[946/5000][180/535][97497] Loss_D: -0.022314 Loss_G: 0.012472 Loss_D_real: -0.031612 Loss_D_fake -0.009298
[946/5000][185/535][97498] Loss_D: -0.022937 Loss_G: 0.011831 Loss_D_real: -0.015853 Loss_D_fake 0.007084
[946/5000][190/535][97499] Loss_D: -0.022528 Loss_G: 0.002901 Loss_D_real: -0.023317 Loss_D_fake -0.000789
[946/5000][195/535][97500] Loss_D: -0.022371 Loss_G: 0.017862 Loss_D_real: -0.023292 Loss_D_fake -0.000921
[946/5000][295/535][97501] Loss_D: -0.023556 Loss_G: 0.033809 Loss_D_real: -0.042066 Loss_D_fake -0.018509
[946/5000][300/535][97502] Loss_D: -0.022760 Loss_G: 0.000439 Loss_D_real: -0.010869 Loss_D_fake 0.011892
[946/5000][305/535][97503] Loss_D: -0.019607 Loss_G: 0.019897 Loss_D_real: -0.021599 Loss_D_fake -0.001992
[946/5000][310/535][97504] Loss_D: -0.022222 Loss_G: 0.005606 Loss_D_real: -0.011633 Loss_D_fake 0.010588
[946/5000][315/535][97505] Loss_D: -0.020628 Loss_G: 0.014320 Loss_D_real: -0.012738 Loss_D_fake 0.007890
[946/5000][320/535][97506] Loss_D: -0.020084 Loss_G: -0.000575 Loss_D_real: -0.008836 Loss_D_fake 0.011248
[946/5000][325/535][97507] Loss_D: -0.021321 Loss_G: 0.017378 Loss_D_real: -0.018222 Loss_D_fake 0.003099
[946/5000][330/535][97508] Loss_D: -0.021047 Loss_G: 0.003578 Loss_D_real: -0.023496 Loss_D_fake -0.002450
[946/5000][335/535][97509] Loss_D: -0.021454 Loss_G: 0.013169 Loss_D_real: -0.020538 Loss_D_fake 0.000916
[946/5000][340/535][97510] Loss_D: -0.021984 Loss_G: 0.007072 Loss_D_real: -0.013513 Loss_D_fake 0.008471
[946/5000][345/535][97511] Loss_D: -0.022097 Loss_G: -0.010405 Loss_D_real: -0.010128 Loss_D_fake 0.011969
[946/5000][350/535][97512] Loss_D: -0.021765 Loss_G: -0.007105 Loss_D_real: -0.003334 Loss_D_fake 0.018431
[946/5000][355/535][97513] Loss_D: -0.022361 Loss_G: 0.002342 Loss_D_real: -0.024447 Loss_D_fake -0.002086
[946/5000][360/535][97514] Loss_D: -0.022062 Loss_G: 0.018666 Loss_D_real: -0.019081 Loss_D_fake 0.002981
[946/5000][365/535][97515] Loss_D: -0.021946 Loss_G: 0.010318 Loss_D_real: -0.017817 Loss_D_fake 0.004130
[946/5000][370/535][97516] Loss_D: -0.022304 Loss_G: 0.015481 Loss_D_real: -0.026210 Loss_D_fake -0.003906
[946/5000][375/535][97517] Loss_D: -0.022341 Loss_G: 0.013690 Loss_D_real: -0.028323 Loss_D_fake -0.005982
[946/5000][380/535][97518] Loss_D: -0.023253 Loss_G: 0.008858 Loss_D_real: -0.021465 Loss_D_fake 0.001787
[946/5000][385/535][97519] Loss_D: -0.021837 Loss_G: 0.018891 Loss_D_real: -0.022782 Loss_D_fake -0.000945
[946/5000][390/535][97520] Loss_D: -0.022513 Loss_G: -0.000181 Loss_D_real: -0.012187 Loss_D_fake 0.010325
[946/5000][395/535][97521] Loss_D: -0.021834 Loss_G: 0.006527 Loss_D_real: -0.019617 Loss_D_fake 0.002217
[946/5000][400/535][97522] Loss_D: -0.021589 Loss_G: 0.004684 Loss_D_real: -0.022122 Loss_D_fake -0.000533
[946/5000][405/535][97523] Loss_D: -0.022723 Loss_G: 0.009230 Loss_D_real: -0.013325 Loss_D_fake 0.009398
[946/5000][410/535][97524] Loss_D: -0.022051 Loss_G: 0.000846 Loss_D_real: -0.015498 Loss_D_fake 0.006553
[946/5000][415/535][97525] Loss_D: -0.022051 Loss_G: 0.008145 Loss_D_real: -0.025334 Loss_D_fake -0.003283
[946/5000][420/535][97526] Loss_D: -0.023004 Loss_G: -0.004519 Loss_D_real: -0.022049 Loss_D_fake 0.000954
[946/5000][425/535][97527] Loss_D: -0.023061 Loss_G: -0.000145 Loss_D_real: -0.008256 Loss_D_fake 0.014805
[946/5000][430/535][97528] Loss_D: -0.021550 Loss_G: 0.033787 Loss_D_real: -0.027762 Loss_D_fake -0.006212
[946/5000][435/535][97529] Loss_D: -0.020658 Loss_G: -0.019301 Loss_D_real: 0.000323 Loss_D_fake 0.020981
[946/5000][440/535][97530] Loss_D: -0.021856 Loss_G: 0.019323 Loss_D_real: -0.021623 Loss_D_fake 0.000234
[946/5000][445/535][97531] Loss_D: -0.022449 Loss_G: -0.008588 Loss_D_real: -0.005906 Loss_D_fake 0.016543
[946/5000][450/535][97532] Loss_D: -0.021477 Loss_G: 0.001295 Loss_D_real: -0.015420 Loss_D_fake 0.006057
[946/5000][455/535][97533] Loss_D: -0.022162 Loss_G: 0.007913 Loss_D_real: -0.013515 Loss_D_fake 0.008647
[946/5000][460/535][97534] Loss_D: -0.022994 Loss_G: -0.001220 Loss_D_real: -0.011243 Loss_D_fake 0.011751
[946/5000][465/535][97535] Loss_D: -0.021613 Loss_G: -0.001436 Loss_D_real: -0.016930 Loss_D_fake 0.004683
[946/5000][470/535][97536] Loss_D: -0.021580 Loss_G: 0.026403 Loss_D_real: -0.024546 Loss_D_fake -0.002966
[946/5000][475/535][97537] Loss_D: -0.022352 Loss_G: -0.008944 Loss_D_real: -0.005769 Loss_D_fake 0.016583
[946/5000][480/535][97538] Loss_D: -0.023888 Loss_G: 0.018263 Loss_D_real: -0.035321 Loss_D_fake -0.011434
[946/5000][485/535][97539] Loss_D: -0.021638 Loss_G: 0.028028 Loss_D_real: -0.029710 Loss_D_fake -0.008071
[946/5000][490/535][97540] Loss_D: -0.022949 Loss_G: -0.004084 Loss_D_real: -0.015293 Loss_D_fake 0.007655
[946/5000][495/535][97541] Loss_D: -0.022447 Loss_G: 0.018400 Loss_D_real: -0.026571 Loss_D_fake -0.004124
[946/5000][500/535][97542] Loss_D: -0.023171 Loss_G: -0.008291 Loss_D_real: -0.016100 Loss_D_fake 0.007071
[946/5000][505/535][97543] Loss_D: -0.021488 Loss_G: -0.004727 Loss_D_real: -0.013147 Loss_D_fake 0.008341
[946/5000][510/535][97544] Loss_D: -0.022617 Loss_G: 0.009368 Loss_D_real: -0.022881 Loss_D_fake -0.000264
[946/5000][515/535][97545] Loss_D: -0.023078 Loss_G: 0.013654 Loss_D_real: -0.025163 Loss_D_fake -0.002086
[946/5000][520/535][97546] Loss_D: -0.022872 Loss_G: 0.005517 Loss_D_real: -0.011622 Loss_D_fake 0.011251
[946/5000][525/535][97547] Loss_D: -0.022084 Loss_G: -0.011549 Loss_D_real: -0.002637 Loss_D_fake 0.019447
[946/5000][530/535][97548] Loss_D: -0.022550 Loss_G: 0.001753 Loss_D_real: -0.001685 Loss_D_fake 0.020866
[946/5000][535/535][97549] Loss_D: -0.024526 Loss_G: 0.004847 Loss_D_real: -0.011574 Loss_D_fake 0.012952
[947/5000][5/535][97550] Loss_D: -0.020710 Loss_G: 0.031867 Loss_D_real: -0.029763 Loss_D_fake -0.009053
[947/5000][10/535][97551] Loss_D: -0.023596 Loss_G: 0.016938 Loss_D_real: -0.014668 Loss_D_fake 0.008928
[947/5000][15/535][97552] Loss_D: -0.023643 Loss_G: -0.002949 Loss_D_real: -0.013567 Loss_D_fake 0.010076
[947/5000][20/535][97553] Loss_D: -0.021369 Loss_G: 0.007042 Loss_D_real: -0.018217 Loss_D_fake 0.003152
[947/5000][25/535][97554] Loss_D: -0.024509 Loss_G: 0.003861 Loss_D_real: -0.010443 Loss_D_fake 0.014066
[947/5000][30/535][97555] Loss_D: -0.020492 Loss_G: -0.018501 Loss_D_real: 0.004123 Loss_D_fake 0.024615
[947/5000][35/535][97556] Loss_D: -0.022609 Loss_G: 0.020146 Loss_D_real: -0.025192 Loss_D_fake -0.002583
[947/5000][40/535][97557] Loss_D: -0.021884 Loss_G: -0.006917 Loss_D_real: -0.010613 Loss_D_fake 0.011271
[947/5000][45/535][97558] Loss_D: -0.022234 Loss_G: 0.024256 Loss_D_real: -0.024493 Loss_D_fake -0.002259
[947/5000][50/535][97559] Loss_D: -0.022656 Loss_G: 0.004351 Loss_D_real: -0.025855 Loss_D_fake -0.003200
[947/5000][55/535][97560] Loss_D: -0.023123 Loss_G: 0.004173 Loss_D_real: -0.009965 Loss_D_fake 0.013158
[947/5000][60/535][97561] Loss_D: -0.023712 Loss_G: -0.002145 Loss_D_real: -0.012040 Loss_D_fake 0.011672
[947/5000][65/535][97562] Loss_D: -0.022917 Loss_G: 0.011039 Loss_D_real: -0.031886 Loss_D_fake -0.008969
[947/5000][70/535][97563] Loss_D: -0.022982 Loss_G: 0.005872 Loss_D_real: -0.012905 Loss_D_fake 0.010076
[947/5000][75/535][97564] Loss_D: -0.021811 Loss_G: 0.014002 Loss_D_real: -0.020554 Loss_D_fake 0.001258
[947/5000][80/535][97565] Loss_D: -0.020770 Loss_G: 0.003658 Loss_D_real: -0.020750 Loss_D_fake 0.000019
[947/5000][85/535][97566] Loss_D: -0.022748 Loss_G: 0.023081 Loss_D_real: -0.015915 Loss_D_fake 0.006833
[947/5000][90/535][97567] Loss_D: -0.021865 Loss_G: -0.001084 Loss_D_real: -0.016257 Loss_D_fake 0.005608
[947/5000][95/535][97568] Loss_D: -0.023722 Loss_G: 0.013287 Loss_D_real: -0.019983 Loss_D_fake 0.003739
[947/5000][100/535][97569] Loss_D: -0.023196 Loss_G: -0.004811 Loss_D_real: -0.008583 Loss_D_fake 0.014613
[947/5000][105/535][97570] Loss_D: -0.021498 Loss_G: 0.012045 Loss_D_real: -0.027943 Loss_D_fake -0.006445
[947/5000][110/535][97571] Loss_D: -0.023355 Loss_G: -0.004735 Loss_D_real: -0.016636 Loss_D_fake 0.006719
[947/5000][115/535][97572] Loss_D: -0.021981 Loss_G: 0.011823 Loss_D_real: -0.025826 Loss_D_fake -0.003845
[947/5000][120/535][97573] Loss_D: -0.023580 Loss_G: -0.001597 Loss_D_real: -0.016101 Loss_D_fake 0.007480
[947/5000][125/535][97574] Loss_D: -0.022379 Loss_G: 0.003000 Loss_D_real: -0.006572 Loss_D_fake 0.015808
[947/5000][130/535][97575] Loss_D: -0.022699 Loss_G: -0.000188 Loss_D_real: -0.013373 Loss_D_fake 0.009326
[947/5000][135/535][97576] Loss_D: -0.021963 Loss_G: -0.002493 Loss_D_real: -0.011288 Loss_D_fake 0.010674
[947/5000][140/535][97577] Loss_D: -0.021921 Loss_G: 0.017462 Loss_D_real: -0.016311 Loss_D_fake 0.005611
[947/5000][145/535][97578] Loss_D: -0.021773 Loss_G: -0.001439 Loss_D_real: -0.006544 Loss_D_fake 0.015229
[947/5000][150/535][97579] Loss_D: -0.022264 Loss_G: 0.004572 Loss_D_real: -0.012853 Loss_D_fake 0.009411
[947/5000][155/535][97580] Loss_D: -0.023800 Loss_G: 0.010962 Loss_D_real: -0.025934 Loss_D_fake -0.002134
[947/5000][160/535][97581] Loss_D: -0.021608 Loss_G: 0.026265 Loss_D_real: -0.030102 Loss_D_fake -0.008494
[947/5000][165/535][97582] Loss_D: -0.023035 Loss_G: -0.003848 Loss_D_real: -0.010814 Loss_D_fake 0.012221
[947/5000][170/535][97583] Loss_D: -0.022939 Loss_G: -0.008820 Loss_D_real: -0.010305 Loss_D_fake 0.012634
[947/5000][175/535][97584] Loss_D: -0.022480 Loss_G: 0.017307 Loss_D_real: -0.024865 Loss_D_fake -0.002385
[947/5000][180/535][97585] Loss_D: -0.022135 Loss_G: 0.007331 Loss_D_real: -0.016647 Loss_D_fake 0.005489
[947/5000][185/535][97586] Loss_D: -0.022704 Loss_G: 0.015648 Loss_D_real: -0.019657 Loss_D_fake 0.003047
[947/5000][190/535][97587] Loss_D: -0.023417 Loss_G: 0.006292 Loss_D_real: -0.029898 Loss_D_fake -0.006482
[947/5000][195/535][97588] Loss_D: -0.021674 Loss_G: 0.013177 Loss_D_real: -0.018644 Loss_D_fake 0.003030
[947/5000][200/535][97589] Loss_D: -0.022158 Loss_G: 0.004251 Loss_D_real: -0.009566 Loss_D_fake 0.012592
[947/5000][205/535][97590] Loss_D: -0.023070 Loss_G: 0.004964 Loss_D_real: -0.018851 Loss_D_fake 0.004219
[947/5000][210/535][97591] Loss_D: -0.023971 Loss_G: 0.003591 Loss_D_real: -0.020287 Loss_D_fake 0.003684
[947/5000][215/535][97592] Loss_D: -0.023200 Loss_G: 0.015725 Loss_D_real: -0.019743 Loss_D_fake 0.003457
[947/5000][220/535][97593] Loss_D: -0.023141 Loss_G: -0.008609 Loss_D_real: -0.008288 Loss_D_fake 0.014853
[947/5000][225/535][97594] Loss_D: -0.021653 Loss_G: -0.001216 Loss_D_real: -0.015813 Loss_D_fake 0.005840
[947/5000][230/535][97595] Loss_D: -0.022380 Loss_G: -0.000169 Loss_D_real: -0.019518 Loss_D_fake 0.002862
[947/5000][235/535][97596] Loss_D: -0.021940 Loss_G: -0.009335 Loss_D_real: 0.002199 Loss_D_fake 0.024140
[947/5000][240/535][97597] Loss_D: -0.021805 Loss_G: 0.010462 Loss_D_real: -0.022934 Loss_D_fake -0.001129
[947/5000][245/535][97598] Loss_D: -0.021796 Loss_G: 0.012287 Loss_D_real: -0.019242 Loss_D_fake 0.002553
[947/5000][250/535][97599] Loss_D: -0.023043 Loss_G: 0.017554 Loss_D_real: -0.031173 Loss_D_fake -0.008130
[947/5000][255/535][97600] Loss_D: -0.022599 Loss_G: 0.005925 Loss_D_real: -0.020293 Loss_D_fake 0.002306
[947/5000][260/535][97601] Loss_D: -0.023084 Loss_G: 0.008676 Loss_D_real: -0.010610 Loss_D_fake 0.012474
[947/5000][265/535][97602] Loss_D: -0.022887 Loss_G: 0.008047 Loss_D_real: -0.030372 Loss_D_fake -0.007485
[947/5000][270/535][97603] Loss_D: -0.023678 Loss_G: 0.014804 Loss_D_real: -0.030776 Loss_D_fake -0.007098
[947/5000][275/535][97604] Loss_D: -0.021389 Loss_G: 0.015845 Loss_D_real: -0.032722 Loss_D_fake -0.011333
[947/5000][280/535][97605] Loss_D: -0.022628 Loss_G: 0.021851 Loss_D_real: -0.024155 Loss_D_fake -0.001527
[947/5000][285/535][97606] Loss_D: -0.023683 Loss_G: 0.011512 Loss_D_real: -0.020077 Loss_D_fake 0.003606
[947/5000][290/535][97607] Loss_D: -0.022079 Loss_G: 0.006745 Loss_D_real: -0.022075 Loss_D_fake 0.000004
[947/5000][295/535][97608] Loss_D: -0.021661 Loss_G: 0.023540 Loss_D_real: -0.020763 Loss_D_fake 0.000898
[947/5000][300/535][97609] Loss_D: -0.021722 Loss_G: -0.012288 Loss_D_real: -0.004545 Loss_D_fake 0.017177
[947/5000][305/535][97610] Loss_D: -0.020266 Loss_G: 0.027260 Loss_D_real: -0.038939 Loss_D_fake -0.018673
[947/5000][310/535][97611] Loss_D: -0.022348 Loss_G: -0.002530 Loss_D_real: -0.007589 Loss_D_fake 0.014758
[947/5000][315/535][97612] Loss_D: -0.023494 Loss_G: 0.006306 Loss_D_real: -0.018187 Loss_D_fake 0.005307
[947/5000][320/535][97613] Loss_D: -0.021621 Loss_G: 0.000096 Loss_D_real: -0.025200 Loss_D_fake -0.003579
[947/5000][325/535][97614] Loss_D: -0.022460 Loss_G: 0.018840 Loss_D_real: -0.024474 Loss_D_fake -0.002015
[947/5000][330/535][97615] Loss_D: -0.022150 Loss_G: 0.015740 Loss_D_real: -0.022465 Loss_D_fake -0.000315
[947/5000][335/535][97616] Loss_D: -0.021420 Loss_G: 0.008466 Loss_D_real: -0.029584 Loss_D_fake -0.008164
[947/5000][340/535][97617] Loss_D: -0.023018 Loss_G: -0.005262 Loss_D_real: -0.012489 Loss_D_fake 0.010530
[947/5000][345/535][97618] Loss_D: -0.021300 Loss_G: 0.019534 Loss_D_real: -0.031723 Loss_D_fake -0.010423
[947/5000][350/535][97619] Loss_D: -0.023323 Loss_G: -0.000401 Loss_D_real: -0.006389 Loss_D_fake 0.016933
[947/5000][355/535][97620] Loss_D: -0.021948 Loss_G: -0.005789 Loss_D_real: -0.013258 Loss_D_fake 0.008690
[947/5000][360/535][97621] Loss_D: -0.023410 Loss_G: 0.011672 Loss_D_real: -0.019019 Loss_D_fake 0.004391
[947/5000][365/535][97622] Loss_D: -0.021817 Loss_G: 0.000999 Loss_D_real: -0.011075 Loss_D_fake 0.010742
[947/5000][370/535][97623] Loss_D: -0.021947 Loss_G: 0.005571 Loss_D_real: -0.018145 Loss_D_fake 0.003802
[947/5000][375/535][97624] Loss_D: -0.023534 Loss_G: 0.009021 Loss_D_real: -0.017740 Loss_D_fake 0.005794
[947/5000][380/535][97625] Loss_D: -0.023311 Loss_G: -0.007629 Loss_D_real: -0.004141 Loss_D_fake 0.019170
[947/5000][385/535][97626] Loss_D: -0.024009 Loss_G: 0.013657 Loss_D_real: -0.035832 Loss_D_fake -0.011823
[947/5000][390/535][97627] Loss_D: -0.022171 Loss_G: -0.009667 Loss_D_real: -0.011595 Loss_D_fake 0.010576
[947/5000][395/535][97628] Loss_D: -0.022373 Loss_G: 0.001924 Loss_D_real: -0.010546 Loss_D_fake 0.011828
[947/5000][400/535][97629] Loss_D: -0.021241 Loss_G: 0.023909 Loss_D_real: -0.031891 Loss_D_fake -0.010651
[947/5000][405/535][97630] Loss_D: -0.021173 Loss_G: 0.013778 Loss_D_real: -0.021469 Loss_D_fake -0.000297
[947/5000][410/535][97631] Loss_D: -0.021639 Loss_G: -0.004383 Loss_D_real: 0.001431 Loss_D_fake 0.023070
[947/5000][415/535][97632] Loss_D: -0.022794 Loss_G: -0.000077 Loss_D_real: -0.018743 Loss_D_fake 0.004051
[947/5000][420/535][97633] Loss_D: -0.022305 Loss_G: 0.012908 Loss_D_real: -0.024720 Loss_D_fake -0.002415
[947/5000][425/535][97634] Loss_D: -0.023076 Loss_G: 0.002767 Loss_D_real: -0.015136 Loss_D_fake 0.007939
[947/5000][430/535][97635] Loss_D: -0.022168 Loss_G: 0.009418 Loss_D_real: -0.018265 Loss_D_fake 0.003902
[947/5000][435/535][97636] Loss_D: -0.022734 Loss_G: 0.005740 Loss_D_real: -0.026228 Loss_D_fake -0.003494
[947/5000][440/535][97637] Loss_D: -0.022475 Loss_G: 0.001655 Loss_D_real: -0.011744 Loss_D_fake 0.010731
[947/5000][445/535][97638] Loss_D: -0.021631 Loss_G: 0.012320 Loss_D_real: -0.027159 Loss_D_fake -0.005528
[947/5000][450/535][97639] Loss_D: -0.022671 Loss_G: 0.005321 Loss_D_real: -0.018760 Loss_D_fake 0.003911
[947/5000][455/535][97640] Loss_D: -0.023558 Loss_G: 0.013118 Loss_D_real: -0.020335 Loss_D_fake 0.003224
[947/5000][460/535][97641] Loss_D: -0.023286 Loss_G: 0.007548 Loss_D_real: -0.018464 Loss_D_fake 0.004822
[947/5000][465/535][97642] Loss_D: -0.021261 Loss_G: 0.009064 Loss_D_real: -0.019527 Loss_D_fake 0.001734
[947/5000][470/535][97643] Loss_D: -0.022099 Loss_G: 0.011444 Loss_D_real: -0.017425 Loss_D_fake 0.004674
[947/5000][475/535][97644] Loss_D: -0.022734 Loss_G: 0.004741 Loss_D_real: -0.021358 Loss_D_fake 0.001376
[947/5000][480/535][97645] Loss_D: -0.022546 Loss_G: 0.013270 Loss_D_real: -0.012398 Loss_D_fake 0.010148
[947/5000][485/535][97646] Loss_D: -0.022045 Loss_G: -0.015212 Loss_D_real: -0.010411 Loss_D_fake 0.011634
[947/5000][490/535][97647] Loss_D: -0.022167 Loss_G: 0.006003 Loss_D_real: -0.022567 Loss_D_fake -0.000400
[947/5000][495/535][97648] Loss_D: -0.022777 Loss_G: 0.000435 Loss_D_real: -0.009182 Loss_D_fake 0.013595
[947/5000][500/535][97649] Loss_D: -0.022597 Loss_G: -0.005884 Loss_D_real: -0.002451 Loss_D_fake 0.020146
[947/5000][505/535][97650] Loss_D: -0.022826 Loss_G: 0.020671 Loss_D_real: -0.033084 Loss_D_fake -0.010258
[947/5000][510/535][97651] Loss_D: -0.022015 Loss_G: -0.009686 Loss_D_real: -0.013919 Loss_D_fake 0.008096
[947/5000][515/535][97652] Loss_D: -0.022260 Loss_G: 0.025580 Loss_D_real: -0.031580 Loss_D_fake -0.009320
[947/5000][520/535][97653] Loss_D: -0.022050 Loss_G: 0.013249 Loss_D_real: -0.026489 Loss_D_fake -0.004439
[947/5000][525/535][97654] Loss_D: -0.024080 Loss_G: -0.009398 Loss_D_real: -0.011985 Loss_D_fake 0.012096
[947/5000][530/535][97655] Loss_D: -0.021737 Loss_G: 0.014959 Loss_D_real: -0.031397 Loss_D_fake -0.009661
[947/5000][535/535][97656] Loss_D: -0.022843 Loss_G: 0.007207 Loss_D_real: -0.019445 Loss_D_fake 0.003398
[948/5000][5/535][97657] Loss_D: -0.021730 Loss_G: 0.002168 Loss_D_real: -0.007003 Loss_D_fake 0.014727
[948/5000][10/535][97658] Loss_D: -0.022816 Loss_G: 0.006724 Loss_D_real: -0.009544 Loss_D_fake 0.013272
[948/5000][15/535][97659] Loss_D: -0.023518 Loss_G: 0.002644 Loss_D_real: -0.031192 Loss_D_fake -0.007674
[948/5000][20/535][97660] Loss_D: -0.022762 Loss_G: 0.012238 Loss_D_real: -0.025834 Loss_D_fake -0.003072
[948/5000][25/535][97661] Loss_D: -0.022065 Loss_G: 0.012507 Loss_D_real: -0.027090 Loss_D_fake -0.005025
[948/5000][30/535][97662] Loss_D: -0.022013 Loss_G: 0.023150 Loss_D_real: -0.030925 Loss_D_fake -0.008912
[948/5000][35/535][97663] Loss_D: -0.022729 Loss_G: -0.003485 Loss_D_real: -0.007815 Loss_D_fake 0.014914
[948/5000][40/535][97664] Loss_D: -0.020666 Loss_G: 0.011352 Loss_D_real: -0.038940 Loss_D_fake -0.018274
[948/5000][45/535][97665] Loss_D: -0.022784 Loss_G: 0.016315 Loss_D_real: -0.030557 Loss_D_fake -0.007773
[948/5000][50/535][97666] Loss_D: -0.022555 Loss_G: 0.007261 Loss_D_real: -0.017382 Loss_D_fake 0.005174
[948/5000][55/535][97667] Loss_D: -0.023634 Loss_G: 0.008912 Loss_D_real: -0.008413 Loss_D_fake 0.015220
[948/5000][60/535][97668] Loss_D: -0.023981 Loss_G: -0.000955 Loss_D_real: -0.012544 Loss_D_fake 0.011436
[948/5000][65/535][97669] Loss_D: -0.021970 Loss_G: 0.026927 Loss_D_real: -0.023276 Loss_D_fake -0.001306
[948/5000][70/535][97670] Loss_D: -0.023431 Loss_G: 0.012440 Loss_D_real: -0.031445 Loss_D_fake -0.008013
[948/5000][75/535][97671] Loss_D: -0.023258 Loss_G: 0.002806 Loss_D_real: -0.010331 Loss_D_fake 0.012926
[948/5000][80/535][97672] Loss_D: -0.023379 Loss_G: 0.009217 Loss_D_real: -0.013024 Loss_D_fake 0.010354
[948/5000][85/535][97673] Loss_D: -0.022701 Loss_G: 0.028148 Loss_D_real: -0.027002 Loss_D_fake -0.004301
[948/5000][90/535][97674] Loss_D: -0.021589 Loss_G: -0.021654 Loss_D_real: -0.008608 Loss_D_fake 0.012981
[948/5000][95/535][97675] Loss_D: -0.021311 Loss_G: 0.019391 Loss_D_real: -0.026438 Loss_D_fake -0.005127
[948/5000][100/535][97676] Loss_D: -0.022086 Loss_G: -0.004363 Loss_D_real: -0.008333 Loss_D_fake 0.013753
[948/5000][105/535][97677] Loss_D: -0.024062 Loss_G: -0.010184 Loss_D_real: -0.019909 Loss_D_fake 0.004153
[948/5000][110/535][97678] Loss_D: -0.021327 Loss_G: 0.009701 Loss_D_real: -0.024315 Loss_D_fake -0.002988
[948/5000][115/535][97679] Loss_D: -0.021566 Loss_G: -0.002831 Loss_D_real: -0.009875 Loss_D_fake 0.011691
[948/5000][120/535][97680] Loss_D: -0.021151 Loss_G: 0.022693 Loss_D_real: -0.030480 Loss_D_fake -0.009328
[948/5000][125/535][97681] Loss_D: -0.021884 Loss_G: 0.004088 Loss_D_real: -0.016030 Loss_D_fake 0.005854
[948/5000][130/535][97682] Loss_D: -0.022973 Loss_G: -0.006059 Loss_D_real: -0.019092 Loss_D_fake 0.003882
[948/5000][135/535][97683] Loss_D: -0.021550 Loss_G: 0.014120 Loss_D_real: -0.025870 Loss_D_fake -0.004320
[948/5000][140/535][97684] Loss_D: -0.020674 Loss_G: 0.019822 Loss_D_real: -0.029674 Loss_D_fake -0.009000
[948/5000][145/535][97685] Loss_D: -0.023185 Loss_G: 0.017417 Loss_D_real: -0.026659 Loss_D_fake -0.003473
[948/5000][150/535][97686] Loss_D: -0.022598 Loss_G: 0.008346 Loss_D_real: -0.018773 Loss_D_fake 0.003825
[948/5000][155/535][97687] Loss_D: -0.022616 Loss_G: 0.018686 Loss_D_real: -0.027329 Loss_D_fake -0.004713
[948/5000][160/535][97688] Loss_D: -0.023795 Loss_G: 0.005373 Loss_D_real: -0.013972 Loss_D_fake 0.009823
[948/5000][165/535][97689] Loss_D: -0.022979 Loss_G: 0.006468 Loss_D_real: -0.008685 Loss_D_fake 0.014294
[948/5000][170/535][97690] Loss_D: -0.022800 Loss_G: 0.023361 Loss_D_real: -0.033282 Loss_D_fake -0.010482
[948/5000][175/535][97691] Loss_D: -0.023130 Loss_G: -0.017040 Loss_D_real: -0.013103 Loss_D_fake 0.010027
[948/5000][180/535][97692] Loss_D: -0.022359 Loss_G: 0.008032 Loss_D_real: -0.019998 Loss_D_fake 0.002361
[948/5000][185/535][97693] Loss_D: -0.022471 Loss_G: -0.005820 Loss_D_real: -0.013906 Loss_D_fake 0.008565
[948/5000][190/535][97694] Loss_D: -0.023311 Loss_G: -0.005112 Loss_D_real: -0.007427 Loss_D_fake 0.015884
[948/5000][195/535][97695] Loss_D: -0.023397 Loss_G: 0.009691 Loss_D_real: -0.020243 Loss_D_fake 0.003155
[948/5000][200/535][97696] Loss_D: -0.023599 Loss_G: 0.008258 Loss_D_real: -0.025504 Loss_D_fake -0.001905
[948/5000][205/535][97697] Loss_D: -0.022405 Loss_G: 0.001159 Loss_D_real: -0.015180 Loss_D_fake 0.007226
[948/5000][210/535][97698] Loss_D: -0.022775 Loss_G: 0.013403 Loss_D_real: -0.018876 Loss_D_fake 0.003899
[948/5000][215/535][97699] Loss_D: -0.021293 Loss_G: 0.002656 Loss_D_real: -0.019864 Loss_D_fake 0.001429
[948/5000][220/535][97700] Loss_D: -0.023259 Loss_G: -0.006423 Loss_D_real: -0.008944 Loss_D_fake 0.014315
[948/5000][225/535][97701] Loss_D: -0.023099 Loss_G: 0.027000 Loss_D_real: -0.023204 Loss_D_fake -0.000105
[948/5000][230/535][97702] Loss_D: -0.020976 Loss_G: 0.002672 Loss_D_real: -0.012793 Loss_D_fake 0.008183
[948/5000][235/535][97703] Loss_D: -0.021066 Loss_G: -0.000614 Loss_D_real: -0.016717 Loss_D_fake 0.004349
[948/5000][240/535][97704] Loss_D: -0.023862 Loss_G: -0.002915 Loss_D_real: -0.012535 Loss_D_fake 0.011326
[948/5000][245/535][97705] Loss_D: -0.022609 Loss_G: 0.019794 Loss_D_real: -0.025823 Loss_D_fake -0.003214
[948/5000][250/535][97706] Loss_D: -0.021300 Loss_G: 0.009463 Loss_D_real: -0.012703 Loss_D_fake 0.008597
[948/5000][255/535][97707] Loss_D: -0.023084 Loss_G: 0.009851 Loss_D_real: -0.021390 Loss_D_fake 0.001693
[948/5000][260/535][97708] Loss_D: -0.023349 Loss_G: 0.001666 Loss_D_real: -0.018186 Loss_D_fake 0.005163
[948/5000][265/535][97709] Loss_D: -0.021614 Loss_G: 0.018037 Loss_D_real: -0.033482 Loss_D_fake -0.011868
[948/5000][270/535][97710] Loss_D: -0.022799 Loss_G: 0.006727 Loss_D_real: -0.023806 Loss_D_fake -0.001007
[948/5000][275/535][97711] Loss_D: -0.021461 Loss_G: 0.017844 Loss_D_real: -0.029615 Loss_D_fake -0.008155
[948/5000][280/535][97712] Loss_D: -0.022602 Loss_G: 0.003489 Loss_D_real: -0.013978 Loss_D_fake 0.008624
[948/5000][285/535][97713] Loss_D: -0.022862 Loss_G: -0.003006 Loss_D_real: -0.014743 Loss_D_fake 0.008119
[948/5000][290/535][97714] Loss_D: -0.023961 Loss_G: 0.005539 Loss_D_real: -0.017428 Loss_D_fake 0.006533
[948/5000][295/535][97715] Loss_D: -0.022307 Loss_G: 0.004626 Loss_D_real: -0.013026 Loss_D_fake 0.009281
[948/5000][300/535][97716] Loss_D: -0.022188 Loss_G: 0.017377 Loss_D_real: -0.022265 Loss_D_fake -0.000077
[948/5000][305/535][97717] Loss_D: -0.022164 Loss_G: 0.003927 Loss_D_real: -0.008821 Loss_D_fake 0.013344
[948/5000][310/535][97718] Loss_D: -0.022800 Loss_G: 0.008285 Loss_D_real: -0.025499 Loss_D_fake -0.002699
[948/5000][315/535][97719] Loss_D: -0.021026 Loss_G: 0.014820 Loss_D_real: -0.022163 Loss_D_fake -0.001138
[948/5000][320/535][97720] Loss_D: -0.023765 Loss_G: 0.000447 Loss_D_real: -0.016935 Loss_D_fake 0.006831
[948/5000][325/535][97721] Loss_D: -0.021879 Loss_G: -0.008168 Loss_D_real: -0.019180 Loss_D_fake 0.002698
[948/5000][330/535][97722] Loss_D: -0.020821 Loss_G: -0.007041 Loss_D_real: -0.004790 Loss_D_fake 0.016032
[948/5000][335/535][97723] Loss_D: -0.021440 Loss_G: 0.014823 Loss_D_real: -0.030459 Loss_D_fake -0.009020
[948/5000][340/535][97724] Loss_D: -0.022146 Loss_G: 0.009694 Loss_D_real: -0.009794 Loss_D_fake 0.012352
[948/5000][345/535][97725] Loss_D: -0.023507 Loss_G: 0.008112 Loss_D_real: -0.026407 Loss_D_fake -0.002900
[948/5000][350/535][97726] Loss_D: -0.023099 Loss_G: -0.000724 Loss_D_real: -0.004894 Loss_D_fake 0.018205
[948/5000][355/535][97727] Loss_D: -0.023113 Loss_G: 0.003748 Loss_D_real: -0.018702 Loss_D_fake 0.004411
[948/5000][360/535][97728] Loss_D: -0.023265 Loss_G: 0.010263 Loss_D_real: -0.016962 Loss_D_fake 0.006303
[948/5000][365/535][97729] Loss_D: -0.022946 Loss_G: -0.022151 Loss_D_real: -0.012245 Loss_D_fake 0.010701
[948/5000][370/535][97730] Loss_D: -0.021899 Loss_G: 0.017205 Loss_D_real: -0.029620 Loss_D_fake -0.007722
[948/5000][375/535][97731] Loss_D: -0.022846 Loss_G: 0.002731 Loss_D_real: -0.024335 Loss_D_fake -0.001488
[948/5000][380/535][97732] Loss_D: -0.023205 Loss_G: -0.004184 Loss_D_real: -0.010118 Loss_D_fake 0.013086
[948/5000][385/535][97733] Loss_D: -0.020868 Loss_G: 0.021560 Loss_D_real: -0.024974 Loss_D_fake -0.004106
[948/5000][390/535][97734] Loss_D: -0.023599 Loss_G: 0.000141 Loss_D_real: -0.011796 Loss_D_fake 0.011803
[948/5000][395/535][97735] Loss_D: -0.022913 Loss_G: 0.016190 Loss_D_real: -0.023429 Loss_D_fake -0.000516
[948/5000][400/535][97736] Loss_D: -0.021378 Loss_G: 0.016194 Loss_D_real: -0.027707 Loss_D_fake -0.006329
[948/5000][405/535][97737] Loss_D: -0.022379 Loss_G: 0.002220 Loss_D_real: -0.014758 Loss_D_fake 0.007621
[948/5000][410/535][97738] Loss_D: -0.021556 Loss_G: 0.012268 Loss_D_real: -0.031478 Loss_D_fake -0.009922
[948/5000][415/535][97739] Loss_D: -0.021439 Loss_G: -0.013306 Loss_D_real: -0.001615 Loss_D_fake 0.019825
[948/5000][420/535][97740] Loss_D: -0.021926 Loss_G: 0.019928 Loss_D_real: -0.025371 Loss_D_fake -0.003445
[948/5000][425/535][97741] Loss_D: -0.022573 Loss_G: -0.008177 Loss_D_real: -0.010931 Loss_D_fake 0.011642
[948/5000][430/535][97742] Loss_D: -0.022886 Loss_G: 0.010173 Loss_D_real: -0.009801 Loss_D_fake 0.013084
[948/5000][435/535][97743] Loss_D: -0.021040 Loss_G: -0.011923 Loss_D_real: -0.011306 Loss_D_fake 0.009734
[948/5000][440/535][97744] Loss_D: -0.022702 Loss_G: 0.013737 Loss_D_real: -0.021946 Loss_D_fake 0.000755
[948/5000][445/535][97745] Loss_D: -0.021889 Loss_G: 0.005738 Loss_D_real: -0.021931 Loss_D_fake -0.000041
[948/5000][450/535][97746] Loss_D: -0.024100 Loss_G: -0.002515 Loss_D_real: -0.012934 Loss_D_fake 0.011166
[948/5000][455/535][97747] Loss_D: -0.022689 Loss_G: 0.018774 Loss_D_real: -0.022473 Loss_D_fake 0.000216
[948/5000][460/535][97748] Loss_D: -0.022505 Loss_G: 0.001084 Loss_D_real: -0.011565 Loss_D_fake 0.010940
[948/5000][465/535][97749] Loss_D: -0.020644 Loss_G: 0.007740 Loss_D_real: -0.024384 Loss_D_fake -0.003740
[948/5000][470/535][97750] Loss_D: -0.020877 Loss_G: 0.020043 Loss_D_real: -0.023409 Loss_D_fake -0.002532
[948/5000][475/535][97751] Loss_D: -0.023361 Loss_G: 0.011911 Loss_D_real: -0.020163 Loss_D_fake 0.003198
[948/5000][480/535][97752] Loss_D: -0.023416 Loss_G: -0.001425 Loss_D_real: -0.006562 Loss_D_fake 0.016854
[948/5000][485/535][97753] Loss_D: -0.021769 Loss_G: 0.011739 Loss_D_real: -0.016582 Loss_D_fake 0.005187
[948/5000][490/535][97754] Loss_D: -0.022287 Loss_G: 0.006208 Loss_D_real: -0.027300 Loss_D_fake -0.005013
[948/5000][495/535][97755] Loss_D: -0.022014 Loss_G: 0.003674 Loss_D_real: -0.022592 Loss_D_fake -0.000579
[948/5000][500/535][97756] Loss_D: -0.022218 Loss_G: -0.001355 Loss_D_real: -0.020250 Loss_D_fake 0.001967
[948/5000][505/535][97757] Loss_D: -0.022117 Loss_G: -0.000192 Loss_D_real: -0.018543 Loss_D_fake 0.003574
[948/5000][510/535][97758] Loss_D: -0.021166 Loss_G: 0.019328 Loss_D_real: -0.026884 Loss_D_fake -0.005718
[948/5000][515/535][97759] Loss_D: -0.022491 Loss_G: 0.002484 Loss_D_real: 0.002741 Loss_D_fake 0.025232
[948/5000][520/535][97760] Loss_D: -0.021437 Loss_G: 0.016174 Loss_D_real: -0.027647 Loss_D_fake -0.006210
[948/5000][525/535][97761] Loss_D: -0.023100 Loss_G: 0.017426 Loss_D_real: -0.028283 Loss_D_fake -0.005183
[948/5000][530/535][97762] Loss_D: -0.022485 Loss_G: 0.018813 Loss_D_real: -0.019880 Loss_D_fake 0.002604
[948/5000][535/535][97763] Loss_D: -0.022749 Loss_G: 0.003845 Loss_D_real: -0.019109 Loss_D_fake 0.003640
[949/5000][5/535][97764] Loss_D: -0.022025 Loss_G: 0.016937 Loss_D_real: -0.023899 Loss_D_fake -0.001874
[949/5000][10/535][97765] Loss_D: -0.022408 Loss_G: 0.001514 Loss_D_real: -0.018738 Loss_D_fake 0.003670
[949/5000][15/535][97766] Loss_D: -0.021206 Loss_G: -0.018187 Loss_D_real: -0.003207 Loss_D_fake 0.017999
[949/5000][20/535][97767] Loss_D: -0.021898 Loss_G: 0.003596 Loss_D_real: -0.025014 Loss_D_fake -0.003115
[949/5000][25/535][97768] Loss_D: -0.022327 Loss_G: 0.012336 Loss_D_real: -0.033635 Loss_D_fake -0.011308
[949/5000][30/535][97769] Loss_D: -0.021796 Loss_G: 0.011898 Loss_D_real: -0.025070 Loss_D_fake -0.003273
[949/5000][35/535][97770] Loss_D: -0.022258 Loss_G: -0.006389 Loss_D_real: -0.014108 Loss_D_fake 0.008150
[949/5000][40/535][97771] Loss_D: -0.021961 Loss_G: 0.013562 Loss_D_real: -0.024667 Loss_D_fake -0.002706
[949/5000][45/535][97772] Loss_D: -0.022354 Loss_G: 0.001804 Loss_D_real: -0.010954 Loss_D_fake 0.011399
[949/5000][50/535][97773] Loss_D: -0.022654 Loss_G: 0.015516 Loss_D_real: -0.027260 Loss_D_fake -0.004606
[949/5000][55/535][97774] Loss_D: -0.022577 Loss_G: 0.004779 Loss_D_real: -0.017477 Loss_D_fake 0.005100
[949/5000][60/535][97775] Loss_D: -0.022787 Loss_G: 0.019827 Loss_D_real: -0.025392 Loss_D_fake -0.002606
[949/5000][65/535][97776] Loss_D: -0.023607 Loss_G: 0.026165 Loss_D_real: -0.027419 Loss_D_fake -0.003812
[949/5000][70/535][97777] Loss_D: -0.022223 Loss_G: 0.003780 Loss_D_real: -0.016666 Loss_D_fake 0.005558
[949/5000][75/535][97778] Loss_D: -0.023664 Loss_G: 0.011861 Loss_D_real: -0.011236 Loss_D_fake 0.012427
[949/5000][80/535][97779] Loss_D: -0.021993 Loss_G: 0.009641 Loss_D_real: -0.036223 Loss_D_fake -0.014230
[949/5000][85/535][97780] Loss_D: -0.023037 Loss_G: 0.016180 Loss_D_real: -0.029790 Loss_D_fake -0.006753
[949/5000][90/535][97781] Loss_D: -0.023128 Loss_G: 0.007262 Loss_D_real: -0.021940 Loss_D_fake 0.001188
[949/5000][95/535][97782] Loss_D: -0.022079 Loss_G: 0.014989 Loss_D_real: -0.029930 Loss_D_fake -0.007851
[949/5000][100/535][97783] Loss_D: -0.024172 Loss_G: -0.000031 Loss_D_real: -0.029068 Loss_D_fake -0.004896
[949/5000][105/535][97784] Loss_D: -0.022952 Loss_G: 0.002694 Loss_D_real: -0.021701 Loss_D_fake 0.001251
[949/5000][110/535][97785] Loss_D: -0.022853 Loss_G: -0.007280 Loss_D_real: -0.002972 Loss_D_fake 0.019882
[949/5000][115/535][97786] Loss_D: -0.022171 Loss_G: -0.005275 Loss_D_real: -0.010743 Loss_D_fake 0.011428
[949/5000][120/535][97787] Loss_D: -0.022963 Loss_G: 0.008500 Loss_D_real: -0.013864 Loss_D_fake 0.009100
[949/5000][125/535][97788] Loss_D: -0.022084 Loss_G: -0.009001 Loss_D_real: -0.002481 Loss_D_fake 0.019602
[949/5000][130/535][97789] Loss_D: -0.023710 Loss_G: 0.003857 Loss_D_real: -0.017885 Loss_D_fake 0.005824
[949/5000][135/535][97790] Loss_D: -0.023032 Loss_G: -0.003632 Loss_D_real: -0.017007 Loss_D_fake 0.006025
[949/5000][140/535][97791] Loss_D: -0.022289 Loss_G: -0.003749 Loss_D_real: -0.019006 Loss_D_fake 0.003283
[949/5000][145/535][97792] Loss_D: -0.022854 Loss_G: 0.015216 Loss_D_real: -0.023134 Loss_D_fake -0.000280
[949/5000][150/535][97793] Loss_D: -0.021840 Loss_G: -0.003066 Loss_D_real: -0.012576 Loss_D_fake 0.009264
[949/5000][155/535][97794] Loss_D: -0.022640 Loss_G: 0.006806 Loss_D_real: -0.019048 Loss_D_fake 0.003593
[949/5000][160/535][97795] Loss_D: -0.023991 Loss_G: 0.009940 Loss_D_real: -0.018651 Loss_D_fake 0.005340
[949/5000][165/535][97796] Loss_D: -0.021352 Loss_G: -0.003919 Loss_D_real: -0.003331 Loss_D_fake 0.018022
[949/5000][170/535][97797] Loss_D: -0.021051 Loss_G: 0.012948 Loss_D_real: -0.030817 Loss_D_fake -0.009767
[949/5000][175/535][97798] Loss_D: -0.020728 Loss_G: 0.028995 Loss_D_real: -0.032524 Loss_D_fake -0.011796
[949/5000][180/535][97799] Loss_D: -0.023358 Loss_G: 0.003090 Loss_D_real: -0.008960 Loss_D_fake 0.014398
[949/5000][185/535][97800] Loss_D: -0.021943 Loss_G: -0.002970 Loss_D_real: -0.015631 Loss_D_fake 0.006311
[949/5000][190/535][97801] Loss_D: -0.021572 Loss_G: 0.017314 Loss_D_real: -0.020385 Loss_D_fake 0.001186
[949/5000][195/535][97802] Loss_D: -0.022138 Loss_G: -0.000468 Loss_D_real: -0.022285 Loss_D_fake -0.000146
[949/5000][200/535][97803] Loss_D: -0.023216 Loss_G: 0.004155 Loss_D_real: -0.025102 Loss_D_fake -0.001886
[949/5000][205/535][97804] Loss_D: -0.022679 Loss_G: 0.018083 Loss_D_real: -0.018760 Loss_D_fake 0.003919
[949/5000][210/535][97805] Loss_D: -0.023272 Loss_G: 0.008500 Loss_D_real: -0.031575 Loss_D_fake -0.008303
[949/5000][215/535][97806] Loss_D: -0.023359 Loss_G: 0.012507 Loss_D_real: -0.019074 Loss_D_fake 0.004286
[949/5000][220/535][97807] Loss_D: -0.021904 Loss_G: -0.017176 Loss_D_real: -0.002597 Loss_D_fake 0.019306
[949/5000][225/535][97808] Loss_D: -0.022642 Loss_G: 0.032544 Loss_D_real: -0.029741 Loss_D_fake -0.007098
[949/5000][230/535][97809] Loss_D: -0.023241 Loss_G: 0.003975 Loss_D_real: -0.009259 Loss_D_fake 0.013983
[949/5000][235/535][97810] Loss_D: -0.023179 Loss_G: 0.006318 Loss_D_real: -0.022597 Loss_D_fake 0.000582
[949/5000][240/535][97811] Loss_D: -0.020756 Loss_G: 0.029986 Loss_D_real: -0.032043 Loss_D_fake -0.011287
[949/5000][245/535][97812] Loss_D: -0.022302 Loss_G: -0.005427 Loss_D_real: -0.001495 Loss_D_fake 0.020807
[949/5000][250/535][97813] Loss_D: -0.022560 Loss_G: 0.009372 Loss_D_real: -0.027172 Loss_D_fake -0.004612
[949/5000][255/535][97814] Loss_D: -0.021822 Loss_G: 0.003073 Loss_D_real: -0.021688 Loss_D_fake 0.000134
[949/5000][260/535][97815] Loss_D: -0.022775 Loss_G: 0.018669 Loss_D_real: -0.021833 Loss_D_fake 0.000941
[949/5000][265/535][97816] Loss_D: -0.023151 Loss_G: 0.012959 Loss_D_real: -0.022571 Loss_D_fake 0.000580
[949/5000][270/535][97817] Loss_D: -0.023345 Loss_G: -0.006536 Loss_D_real: -0.017604 Loss_D_fake 0.005741
[949/5000][275/535][97818] Loss_D: -0.022169 Loss_G: -0.006500 Loss_D_real: -0.016260 Loss_D_fake 0.005909
[949/5000][280/535][97819] Loss_D: -0.023425 Loss_G: 0.003748 Loss_D_real: -0.007835 Loss_D_fake 0.015590
[949/5000][285/535][97820] Loss_D: -0.021741 Loss_G: -0.002056 Loss_D_real: -0.009458 Loss_D_fake 0.012283
[949/5000][290/535][97821] Loss_D: -0.022346 Loss_G: 0.015799 Loss_D_real: -0.016424 Loss_D_fake 0.005923
[949/5000][295/535][97822] Loss_D: -0.021763 Loss_G: -0.009680 Loss_D_real: -0.007025 Loss_D_fake 0.014738
[949/5000][300/535][97823] Loss_D: -0.022106 Loss_G: 0.008756 Loss_D_real: -0.022400 Loss_D_fake -0.000295
[949/5000][305/535][97824] Loss_D: -0.022413 Loss_G: 0.001179 Loss_D_real: -0.019524 Loss_D_fake 0.002889
[949/5000][310/535][97825] Loss_D: -0.022622 Loss_G: 0.017006 Loss_D_real: -0.028825 Loss_D_fake -0.006203
[949/5000][315/535][97826] Loss_D: -0.022074 Loss_G: 0.004404 Loss_D_real: -0.007042 Loss_D_fake 0.015032
[949/5000][320/535][97827] Loss_D: -0.023103 Loss_G: 0.009382 Loss_D_real: -0.016005 Loss_D_fake 0.007098
[949/5000][325/535][97828] Loss_D: -0.023119 Loss_G: 0.009764 Loss_D_real: -0.033456 Loss_D_fake -0.010337
[949/5000][330/535][97829] Loss_D: -0.022533 Loss_G: 0.014928 Loss_D_real: -0.025576 Loss_D_fake -0.003043
[949/5000][335/535][97830] Loss_D: -0.021335 Loss_G: 0.009385 Loss_D_real: -0.019359 Loss_D_fake 0.001976
[949/5000][340/535][97831] Loss_D: -0.021287 Loss_G: 0.007859 Loss_D_real: -0.029017 Loss_D_fake -0.007730
[949/5000][345/535][97832] Loss_D: -0.023511 Loss_G: 0.024525 Loss_D_real: -0.024421 Loss_D_fake -0.000910
[949/5000][350/535][97833] Loss_D: -0.021827 Loss_G: -0.003132 Loss_D_real: -0.002464 Loss_D_fake 0.019363
[949/5000][355/535][97834] Loss_D: -0.021775 Loss_G: 0.010496 Loss_D_real: -0.029634 Loss_D_fake -0.007859
[949/5000][360/535][97835] Loss_D: -0.022727 Loss_G: 0.009181 Loss_D_real: -0.031296 Loss_D_fake -0.008570
[949/5000][365/535][97836] Loss_D: -0.023001 Loss_G: 0.006075 Loss_D_real: -0.015624 Loss_D_fake 0.007377
[949/5000][370/535][97837] Loss_D: -0.023152 Loss_G: 0.006956 Loss_D_real: -0.017124 Loss_D_fake 0.006029
[949/5000][375/535][97838] Loss_D: -0.022853 Loss_G: 0.015401 Loss_D_real: -0.019367 Loss_D_fake 0.003486
[949/5000][380/535][97839] Loss_D: -0.023039 Loss_G: 0.005808 Loss_D_real: -0.008204 Loss_D_fake 0.014835
[949/5000][385/535][97840] Loss_D: -0.022531 Loss_G: 0.001186 Loss_D_real: -0.029600 Loss_D_fake -0.007069
[949/5000][390/535][97841] Loss_D: -0.022942 Loss_G: 0.000055 Loss_D_real: -0.020546 Loss_D_fake 0.002396
[949/5000][395/535][97842] Loss_D: -0.022148 Loss_G: 0.023694 Loss_D_real: -0.030820 Loss_D_fake -0.008672
[949/5000][400/535][97843] Loss_D: -0.021968 Loss_G: 0.010131 Loss_D_real: -0.016123 Loss_D_fake 0.005845
[949/5000][405/535][97844] Loss_D: -0.022856 Loss_G: 0.006967 Loss_D_real: -0.018994 Loss_D_fake 0.003863
[949/5000][410/535][97845] Loss_D: -0.022472 Loss_G: -0.007297 Loss_D_real: -0.004263 Loss_D_fake 0.018209
[949/5000][415/535][97846] Loss_D: -0.021815 Loss_G: 0.002880 Loss_D_real: -0.026749 Loss_D_fake -0.004934
[949/5000][420/535][97847] Loss_D: -0.022211 Loss_G: -0.009281 Loss_D_real: -0.017122 Loss_D_fake 0.005089
[949/5000][425/535][97848] Loss_D: -0.022932 Loss_G: -0.008796 Loss_D_real: -0.008555 Loss_D_fake 0.014378
[949/5000][430/535][97849] Loss_D: -0.021711 Loss_G: 0.019674 Loss_D_real: -0.022035 Loss_D_fake -0.000324
[949/5000][435/535][97850] Loss_D: -0.022313 Loss_G: 0.014548 Loss_D_real: -0.031677 Loss_D_fake -0.009364
[949/5000][440/535][97851] Loss_D: -0.023349 Loss_G: 0.003824 Loss_D_real: -0.011886 Loss_D_fake 0.011463
[949/5000][445/535][97852] Loss_D: -0.022422 Loss_G: 0.004363 Loss_D_real: -0.014399 Loss_D_fake 0.008023
[949/5000][450/535][97853] Loss_D: -0.022725 Loss_G: 0.029892 Loss_D_real: -0.033489 Loss_D_fake -0.010764
[949/5000][455/535][97854] Loss_D: -0.021958 Loss_G: -0.007436 Loss_D_real: -0.009696 Loss_D_fake 0.012262
[949/5000][460/535][97855] Loss_D: -0.021629 Loss_G: 0.007091 Loss_D_real: -0.027936 Loss_D_fake -0.006307
[949/5000][465/535][97856] Loss_D: -0.023464 Loss_G: 0.005260 Loss_D_real: -0.026308 Loss_D_fake -0.002844
[949/5000][470/535][97857] Loss_D: -0.022136 Loss_G: 0.015635 Loss_D_real: -0.019122 Loss_D_fake 0.003014
[949/5000][475/535][97858] Loss_D: -0.022262 Loss_G: 0.015156 Loss_D_real: -0.020429 Loss_D_fake 0.001833
[949/5000][480/535][97859] Loss_D: -0.022259 Loss_G: 0.000459 Loss_D_real: -0.023010 Loss_D_fake -0.000751
[949/5000][485/535][97860] Loss_D: -0.022122 Loss_G: 0.016611 Loss_D_real: -0.033761 Loss_D_fake -0.011639
[949/5000][490/535][97861] Loss_D: -0.022346 Loss_G: -0.009493 Loss_D_real: -0.004801 Loss_D_fake 0.017544
[949/5000][495/535][97862] Loss_D: -0.021958 Loss_G: 0.013265 Loss_D_real: -0.030405 Loss_D_fake -0.008446
[949/5000][500/535][97863] Loss_D: -0.021905 Loss_G: -0.006430 Loss_D_real: -0.011013 Loss_D_fake 0.010892
[949/5000][505/535][97864] Loss_D: -0.022346 Loss_G: 0.009074 Loss_D_real: -0.018317 Loss_D_fake 0.004029
[949/5000][510/535][97865] Loss_D: -0.023438 Loss_G: 0.008711 Loss_D_real: -0.028528 Loss_D_fake -0.005090
[949/5000][515/535][97866] Loss_D: -0.023160 Loss_G: 0.008525 Loss_D_real: -0.013894 Loss_D_fake 0.009266
[949/5000][520/535][97867] Loss_D: -0.022241 Loss_G: -0.002438 Loss_D_real: -0.013014 Loss_D_fake 0.009227
[949/5000][525/535][97868] Loss_D: -0.022578 Loss_G: 0.009874 Loss_D_real: -0.019132 Loss_D_fake 0.003446
[949/5000][530/535][97869] Loss_D: -0.020559 Loss_G: -0.017321 Loss_D_real: -0.003133 Loss_D_fake 0.017426
[949/5000][535/535][97870] Loss_D: -0.020806 Loss_G: 0.036254 Loss_D_real: -0.020230 Loss_D_fake 0.000576
[950/5000][5/535][97871] Loss_D: -0.023677 Loss_G: 0.020705 Loss_D_real: -0.022674 Loss_D_fake 0.001003
[950/5000][10/535][97872] Loss_D: -0.021555 Loss_G: 0.002426 Loss_D_real: -0.015572 Loss_D_fake 0.005983
[950/5000][15/535][97873] Loss_D: -0.022639 Loss_G: 0.009385 Loss_D_real: -0.025374 Loss_D_fake -0.002734
[950/5000][20/535][97874] Loss_D: -0.021839 Loss_G: 0.021451 Loss_D_real: -0.028409 Loss_D_fake -0.006570
[950/5000][25/535][97875] Loss_D: -0.024030 Loss_G: 0.015567 Loss_D_real: -0.019710 Loss_D_fake 0.004320
[950/5000][30/535][97876] Loss_D: -0.022158 Loss_G: 0.019218 Loss_D_real: -0.029418 Loss_D_fake -0.007260
[950/5000][35/535][97877] Loss_D: -0.022689 Loss_G: 0.010989 Loss_D_real: -0.015046 Loss_D_fake 0.007644
[950/5000][40/535][97878] Loss_D: -0.022905 Loss_G: 0.004648 Loss_D_real: -0.022472 Loss_D_fake 0.000434
[950/5000][45/535][97879] Loss_D: -0.022940 Loss_G: -0.006485 Loss_D_real: -0.007773 Loss_D_fake 0.015167
[950/5000][50/535][97880] Loss_D: -0.021921 Loss_G: 0.015072 Loss_D_real: -0.024451 Loss_D_fake -0.002530
[950/5000][55/535][97881] Loss_D: -0.021764 Loss_G: 0.028515 Loss_D_real: -0.031708 Loss_D_fake -0.009944
[950/5000][60/535][97882] Loss_D: -0.022709 Loss_G: -0.006161 Loss_D_real: -0.014898 Loss_D_fake 0.007811
[950/5000][65/535][97883] Loss_D: -0.022493 Loss_G: 0.001275 Loss_D_real: -0.010489 Loss_D_fake 0.012004
[950/5000][70/535][97884] Loss_D: -0.022567 Loss_G: -0.006608 Loss_D_real: -0.010904 Loss_D_fake 0.011664
[950/5000][75/535][97885] Loss_D: -0.020711 Loss_G: 0.025436 Loss_D_real: -0.036399 Loss_D_fake -0.015688
[950/5000][80/535][97886] Loss_D: -0.020975 Loss_G: -0.007539 Loss_D_real: 0.001639 Loss_D_fake 0.022614
[950/5000][85/535][97887] Loss_D: -0.023046 Loss_G: 0.005774 Loss_D_real: -0.014129 Loss_D_fake 0.008917
[950/5000][90/535][97888] Loss_D: -0.023726 Loss_G: 0.003668 Loss_D_real: -0.018117 Loss_D_fake 0.005609
[950/5000][95/535][97889] Loss_D: -0.024550 Loss_G: 0.008662 Loss_D_real: -0.020662 Loss_D_fake 0.003887
[950/5000][100/535][97890] Loss_D: -0.023700 Loss_G: 0.009185 Loss_D_real: -0.020115 Loss_D_fake 0.003585
[950/5000][105/535][97891] Loss_D: -0.023433 Loss_G: -0.007948 Loss_D_real: -0.008610 Loss_D_fake 0.014823
[950/5000][110/535][97892] Loss_D: -0.021980 Loss_G: 0.029007 Loss_D_real: -0.027592 Loss_D_fake -0.005612
[950/5000][115/535][97893] Loss_D: -0.023021 Loss_G: -0.002105 Loss_D_real: -0.013543 Loss_D_fake 0.009478
[950/5000][120/535][97894] Loss_D: -0.022783 Loss_G: 0.011379 Loss_D_real: -0.024232 Loss_D_fake -0.001449
[950/5000][125/535][97895] Loss_D: -0.023873 Loss_G: 0.007827 Loss_D_real: -0.018238 Loss_D_fake 0.005635
[950/5000][130/535][97896] Loss_D: -0.021639 Loss_G: 0.015975 Loss_D_real: -0.028388 Loss_D_fake -0.006748
[950/5000][135/535][97897] Loss_D: -0.023751 Loss_G: 0.000898 Loss_D_real: -0.010893 Loss_D_fake 0.012859
[950/5000][140/535][97898] Loss_D: -0.022542 Loss_G: 0.002134 Loss_D_real: -0.020826 Loss_D_fake 0.001716
[950/5000][145/535][97899] Loss_D: -0.023167 Loss_G: 0.013609 Loss_D_real: -0.017854 Loss_D_fake 0.005313
[950/5000][150/535][97900] Loss_D: -0.023392 Loss_G: 0.008991 Loss_D_real: -0.021691 Loss_D_fake 0.001700
[950/5000][155/535][97901] Loss_D: -0.021405 Loss_G: 0.029425 Loss_D_real: -0.032520 Loss_D_fake -0.011116
[950/5000][160/535][97902] Loss_D: -0.022385 Loss_G: -0.007950 Loss_D_real: -0.013708 Loss_D_fake 0.008676
[950/5000][165/535][97903] Loss_D: -0.022484 Loss_G: 0.023907 Loss_D_real: -0.033584 Loss_D_fake -0.011101
[950/5000][170/535][97904] Loss_D: -0.020151 Loss_G: 0.024337 Loss_D_real: -0.030693 Loss_D_fake -0.010542
[950/5000][175/535][97905] Loss_D: -0.022278 Loss_G: -0.002381 Loss_D_real: -0.010002 Loss_D_fake 0.012276
[950/5000][180/535][97906] Loss_D: -0.022697 Loss_G: 0.007721 Loss_D_real: -0.023953 Loss_D_fake -0.001256
[950/5000][185/535][97907] Loss_D: -0.023311 Loss_G: 0.016277 Loss_D_real: -0.027867 Loss_D_fake -0.004556
[950/5000][190/535][97908] Loss_D: -0.022040 Loss_G: -0.010795 Loss_D_real: -0.007069 Loss_D_fake 0.014971
[950/5000][195/535][97909] Loss_D: -0.022139 Loss_G: 0.001217 Loss_D_real: -0.020114 Loss_D_fake 0.002025
[950/5000][200/535][97910] Loss_D: -0.022214 Loss_G: 0.010721 Loss_D_real: -0.021994 Loss_D_fake 0.000220
[950/5000][205/535][97911] Loss_D: -0.023548 Loss_G: -0.003251 Loss_D_real: -0.009677 Loss_D_fake 0.013871
[950/5000][210/535][97912] Loss_D: -0.022253 Loss_G: 0.020317 Loss_D_real: -0.034084 Loss_D_fake -0.011831
[950/5000][215/535][97913] Loss_D: -0.021931 Loss_G: 0.011775 Loss_D_real: -0.028165 Loss_D_fake -0.006234
[950/5000][220/535][97914] Loss_D: -0.022843 Loss_G: 0.012580 Loss_D_real: -0.027025 Loss_D_fake -0.004181
[950/5000][225/535][97915] Loss_D: -0.021601 Loss_G: 0.009558 Loss_D_real: -0.019571 Loss_D_fake 0.002030
[950/5000][230/535][97916] Loss_D: -0.022651 Loss_G: 0.003348 Loss_D_real: -0.021930 Loss_D_fake 0.000720
[950/5000][235/535][97917] Loss_D: -0.021424 Loss_G: 0.002672 Loss_D_real: -0.024440 Loss_D_fake -0.003016
[950/5000][240/535][97918] Loss_D: -0.022843 Loss_G: 0.008219 Loss_D_real: -0.013979 Loss_D_fake 0.008864
[950/5000][245/535][97919] Loss_D: -0.023476 Loss_G: 0.002498 Loss_D_real: -0.014848 Loss_D_fake 0.008628
[950/5000][250/535][97920] Loss_D: -0.022065 Loss_G: 0.010673 Loss_D_real: -0.027217 Loss_D_fake -0.005152
[950/5000][255/535][97921] Loss_D: -0.021497 Loss_G: 0.023259 Loss_D_real: -0.027924 Loss_D_fake -0.006427
[950/5000][260/535][97922] Loss_D: -0.022709 Loss_G: -0.006407 Loss_D_real: -0.000729 Loss_D_fake 0.021980
[950/5000][265/535][97923] Loss_D: -0.020651 Loss_G: 0.008787 Loss_D_real: -0.023517 Loss_D_fake -0.002866
[950/5000][270/535][97924] Loss_D: -0.022442 Loss_G: 0.003492 Loss_D_real: -0.018529 Loss_D_fake 0.003913
[950/5000][275/535][97925] Loss_D: -0.022127 Loss_G: -0.001020 Loss_D_real: -0.025532 Loss_D_fake -0.003405
[950/5000][280/535][97926] Loss_D: -0.022238 Loss_G: 0.013924 Loss_D_real: -0.023601 Loss_D_fake -0.001363
[950/5000][285/535][97927] Loss_D: -0.021696 Loss_G: 0.002216 Loss_D_real: -0.009862 Loss_D_fake 0.011834
[950/5000][290/535][97928] Loss_D: -0.023068 Loss_G: 0.001329 Loss_D_real: -0.005005 Loss_D_fake 0.018062
[950/5000][295/535][97929] Loss_D: -0.022368 Loss_G: -0.013555 Loss_D_real: -0.005610 Loss_D_fake 0.016758
[950/5000][300/535][97930] Loss_D: -0.021410 Loss_G: 0.003627 Loss_D_real: -0.019689 Loss_D_fake 0.001722
[950/5000][305/535][97931] Loss_D: -0.021294 Loss_G: 0.024902 Loss_D_real: -0.027955 Loss_D_fake -0.006661
[950/5000][310/535][97932] Loss_D: -0.023181 Loss_G: -0.007640 Loss_D_real: -0.015070 Loss_D_fake 0.008111
[950/5000][315/535][97933] Loss_D: -0.022790 Loss_G: 0.002385 Loss_D_real: -0.016313 Loss_D_fake 0.006477
[950/5000][320/535][97934] Loss_D: -0.022952 Loss_G: 0.004569 Loss_D_real: -0.022842 Loss_D_fake 0.000110
[950/5000][325/535][97935] Loss_D: -0.022946 Loss_G: 0.007686 Loss_D_real: -0.015985 Loss_D_fake 0.006961
[950/5000][330/535][97936] Loss_D: -0.022369 Loss_G: -0.004045 Loss_D_real: -0.020538 Loss_D_fake 0.001831
[950/5000][335/535][97937] Loss_D: -0.022925 Loss_G: 0.013527 Loss_D_real: -0.032533 Loss_D_fake -0.009609
[950/5000][340/535][97938] Loss_D: -0.023291 Loss_G: 0.018198 Loss_D_real: -0.027700 Loss_D_fake -0.004409
[950/5000][345/535][97939] Loss_D: -0.023010 Loss_G: 0.010865 Loss_D_real: -0.014837 Loss_D_fake 0.008173
[950/5000][350/535][97940] Loss_D: -0.021764 Loss_G: 0.015132 Loss_D_real: -0.037990 Loss_D_fake -0.016226
[950/5000][355/535][97941] Loss_D: -0.023011 Loss_G: 0.006700 Loss_D_real: -0.022082 Loss_D_fake 0.000929
[950/5000][360/535][97942] Loss_D: -0.023367 Loss_G: 0.007378 Loss_D_real: -0.019735 Loss_D_fake 0.003632
[950/5000][365/535][97943] Loss_D: -0.023002 Loss_G: 0.011452 Loss_D_real: -0.022642 Loss_D_fake 0.000360
[950/5000][370/535][97944] Loss_D: -0.023086 Loss_G: -0.000540 Loss_D_real: -0.023357 Loss_D_fake -0.000271
[950/5000][375/535][97945] Loss_D: -0.023611 Loss_G: 0.015027 Loss_D_real: -0.016329 Loss_D_fake 0.007281
[950/5000][380/535][97946] Loss_D: -0.023212 Loss_G: 0.012344 Loss_D_real: -0.025153 Loss_D_fake -0.001941
[950/5000][385/535][97947] Loss_D: -0.021694 Loss_G: 0.023532 Loss_D_real: -0.023060 Loss_D_fake -0.001366
[950/5000][390/535][97948] Loss_D: -0.023365 Loss_G: 0.010004 Loss_D_real: -0.015678 Loss_D_fake 0.007687
[950/5000][395/535][97949] Loss_D: -0.021563 Loss_G: 0.014322 Loss_D_real: -0.030075 Loss_D_fake -0.008512
[950/5000][400/535][97950] Loss_D: -0.021430 Loss_G: 0.001366 Loss_D_real: -0.016566 Loss_D_fake 0.004864
[950/5000][405/535][97951] Loss_D: -0.021611 Loss_G: 0.026586 Loss_D_real: -0.030915 Loss_D_fake -0.009303
[950/5000][410/535][97952] Loss_D: -0.021472 Loss_G: -0.006133 Loss_D_real: -0.011341 Loss_D_fake 0.010131
[950/5000][415/535][97953] Loss_D: -0.021691 Loss_G: 0.021221 Loss_D_real: -0.029545 Loss_D_fake -0.007854
[950/5000][420/535][97954] Loss_D: -0.022680 Loss_G: 0.004119 Loss_D_real: -0.018945 Loss_D_fake 0.003736
[950/5000][425/535][97955] Loss_D: -0.022657 Loss_G: 0.020868 Loss_D_real: -0.030359 Loss_D_fake -0.007701
[950/5000][430/535][97956] Loss_D: -0.022303 Loss_G: -0.010226 Loss_D_real: 0.000954 Loss_D_fake 0.023257
[950/5000][435/535][97957] Loss_D: -0.021368 Loss_G: 0.018468 Loss_D_real: -0.030559 Loss_D_fake -0.009190
[950/5000][440/535][97958] Loss_D: -0.023047 Loss_G: 0.007154 Loss_D_real: -0.022702 Loss_D_fake 0.000345
[950/5000][445/535][97959] Loss_D: -0.022679 Loss_G: 0.008922 Loss_D_real: -0.025993 Loss_D_fake -0.003314
[950/5000][450/535][97960] Loss_D: -0.023693 Loss_G: 0.009493 Loss_D_real: -0.013097 Loss_D_fake 0.010596
[950/5000][455/535][97961] Loss_D: -0.021568 Loss_G: 0.009179 Loss_D_real: -0.013797 Loss_D_fake 0.007770
[950/5000][460/535][97962] Loss_D: -0.023059 Loss_G: 0.001990 Loss_D_real: -0.019597 Loss_D_fake 0.003462
[950/5000][465/535][97963] Loss_D: -0.022067 Loss_G: 0.018795 Loss_D_real: -0.015564 Loss_D_fake 0.006504
[950/5000][470/535][97964] Loss_D: -0.021880 Loss_G: -0.002594 Loss_D_real: -0.016830 Loss_D_fake 0.005050
[950/5000][475/535][97965] Loss_D: -0.022227 Loss_G: 0.002576 Loss_D_real: -0.012201 Loss_D_fake 0.010026
[950/5000][480/535][97966] Loss_D: -0.022281 Loss_G: 0.006229 Loss_D_real: -0.016808 Loss_D_fake 0.005474
[950/5000][485/535][97967] Loss_D: -0.021312 Loss_G: 0.022240 Loss_D_real: -0.020914 Loss_D_fake 0.000398
[950/5000][490/535][97968] Loss_D: -0.022908 Loss_G: 0.010861 Loss_D_real: -0.018465 Loss_D_fake 0.004443
[950/5000][495/535][97969] Loss_D: -0.022352 Loss_G: 0.007877 Loss_D_real: -0.027763 Loss_D_fake -0.005411
[950/5000][500/535][97970] Loss_D: -0.021105 Loss_G: 0.009694 Loss_D_real: -0.017064 Loss_D_fake 0.004041
[950/5000][505/535][97971] Loss_D: -0.022582 Loss_G: 0.008436 Loss_D_real: -0.021034 Loss_D_fake 0.001548
[950/5000][510/535][97972] Loss_D: -0.023374 Loss_G: 0.004625 Loss_D_real: -0.019151 Loss_D_fake 0.004223
[950/5000][515/535][97973] Loss_D: -0.021734 Loss_G: 0.005851 Loss_D_real: -0.013547 Loss_D_fake 0.008187
[950/5000][520/535][97974] Loss_D: -0.021613 Loss_G: 0.012615 Loss_D_real: -0.022793 Loss_D_fake -0.001181
[950/5000][525/535][97975] Loss_D: -0.022100 Loss_G: 0.003700 Loss_D_real: -0.021436 Loss_D_fake 0.000664
[950/5000][530/535][97976] Loss_D: -0.022886 Loss_G: -0.006610 Loss_D_real: -0.014003 Loss_D_fake 0.008884
[950/5000][535/535][97977] Loss_D: -0.020194 Loss_G: 0.024143 Loss_D_real: -0.023154 Loss_D_fake -0.002959
[951/5000][5/535][97978] Loss_D: -0.021886 Loss_G: 0.006144 Loss_D_real: -0.021055 Loss_D_fake 0.000831
[951/5000][10/535][97979] Loss_D: -0.021365 Loss_G: 0.011826 Loss_D_real: -0.011639 Loss_D_fake 0.009726
[951/5000][15/535][97980] Loss_D: -0.020082 Loss_G: -0.017427 Loss_D_real: 0.010008 Loss_D_fake 0.030090
[951/5000][20/535][97981] Loss_D: -0.023394 Loss_G: 0.004896 Loss_D_real: -0.019822 Loss_D_fake 0.003571
[951/5000][25/535][97982] Loss_D: -0.021906 Loss_G: 0.009254 Loss_D_real: -0.015910 Loss_D_fake 0.005996
[951/5000][30/535][97983] Loss_D: -0.023049 Loss_G: -0.002508 Loss_D_real: -0.018026 Loss_D_fake 0.005023
[951/5000][35/535][97984] Loss_D: -0.022935 Loss_G: 0.001977 Loss_D_real: -0.017615 Loss_D_fake 0.005320
[951/5000][40/535][97985] Loss_D: -0.022962 Loss_G: -0.001435 Loss_D_real: -0.011745 Loss_D_fake 0.011217
[951/5000][45/535][97986] Loss_D: -0.021513 Loss_G: 0.011803 Loss_D_real: -0.020963 Loss_D_fake 0.000550
[951/5000][50/535][97987] Loss_D: -0.024884 Loss_G: 0.010446 Loss_D_real: -0.024913 Loss_D_fake -0.000028
[951/5000][55/535][97988] Loss_D: -0.023259 Loss_G: 0.009431 Loss_D_real: -0.015480 Loss_D_fake 0.007780
[951/5000][60/535][97989] Loss_D: -0.023112 Loss_G: -0.007360 Loss_D_real: -0.011506 Loss_D_fake 0.011607
[951/5000][65/535][97990] Loss_D: -0.022595 Loss_G: -0.012389 Loss_D_real: -0.005011 Loss_D_fake 0.017584
[951/5000][70/535][97991] Loss_D: -0.021917 Loss_G: 0.014856 Loss_D_real: -0.025332 Loss_D_fake -0.003415
[951/5000][75/535][97992] Loss_D: -0.023546 Loss_G: 0.022993 Loss_D_real: -0.026337 Loss_D_fake -0.002791
[951/5000][80/535][97993] Loss_D: -0.021736 Loss_G: 0.020696 Loss_D_real: -0.026564 Loss_D_fake -0.004828
[951/5000][85/535][97994] Loss_D: -0.022790 Loss_G: 0.010388 Loss_D_real: -0.019638 Loss_D_fake 0.003152
[951/5000][90/535][97995] Loss_D: -0.022779 Loss_G: -0.001455 Loss_D_real: -0.007607 Loss_D_fake 0.015173
[951/5000][95/535][97996] Loss_D: -0.023011 Loss_G: 0.015406 Loss_D_real: -0.022382 Loss_D_fake 0.000629
[951/5000][100/535][97997] Loss_D: -0.021313 Loss_G: 0.020192 Loss_D_real: -0.029918 Loss_D_fake -0.008605
[951/5000][105/535][97998] Loss_D: -0.021660 Loss_G: 0.022718 Loss_D_real: -0.033885 Loss_D_fake -0.012225
[951/5000][110/535][97999] Loss_D: -0.021825 Loss_G: -0.008411 Loss_D_real: -0.018595 Loss_D_fake 0.003230
[951/5000][115/535][98000] Loss_D: -0.021886 Loss_G: 0.016893 Loss_D_real: -0.037615 Loss_D_fake -0.015730
[951/5000][215/535][98001] Loss_D: -0.028567 Loss_G: 0.014171 Loss_D_real: -0.030498 Loss_D_fake -0.001931
[951/5000][220/535][98002] Loss_D: -0.020473 Loss_G: 0.005688 Loss_D_real: -0.021602 Loss_D_fake -0.001129
[951/5000][225/535][98003] Loss_D: -0.021930 Loss_G: 0.010379 Loss_D_real: -0.016042 Loss_D_fake 0.005888
[951/5000][230/535][98004] Loss_D: -0.020655 Loss_G: 0.002624 Loss_D_real: -0.020162 Loss_D_fake 0.000493
[951/5000][235/535][98005] Loss_D: -0.020965 Loss_G: 0.012899 Loss_D_real: -0.013551 Loss_D_fake 0.007414
[951/5000][240/535][98006] Loss_D: -0.019709 Loss_G: 0.007296 Loss_D_real: -0.019796 Loss_D_fake -0.000087
[951/5000][245/535][98007] Loss_D: -0.021165 Loss_G: 0.007451 Loss_D_real: -0.022780 Loss_D_fake -0.001614
[951/5000][250/535][98008] Loss_D: -0.020797 Loss_G: -0.007295 Loss_D_real: -0.006816 Loss_D_fake 0.013981
[951/5000][255/535][98009] Loss_D: -0.021083 Loss_G: 0.007245 Loss_D_real: -0.014740 Loss_D_fake 0.006344
[951/5000][260/535][98010] Loss_D: -0.021011 Loss_G: -0.001196 Loss_D_real: -0.009127 Loss_D_fake 0.011884
[951/5000][265/535][98011] Loss_D: -0.021102 Loss_G: 0.004313 Loss_D_real: -0.019960 Loss_D_fake 0.001143
[951/5000][270/535][98012] Loss_D: -0.021411 Loss_G: 0.007209 Loss_D_real: -0.021494 Loss_D_fake -0.000082
[951/5000][275/535][98013] Loss_D: -0.021025 Loss_G: 0.000065 Loss_D_real: -0.013676 Loss_D_fake 0.007350
[951/5000][280/535][98014] Loss_D: -0.021463 Loss_G: 0.023284 Loss_D_real: -0.023859 Loss_D_fake -0.002396
[951/5000][285/535][98015] Loss_D: -0.021742 Loss_G: 0.002392 Loss_D_real: -0.013763 Loss_D_fake 0.007979
[951/5000][290/535][98016] Loss_D: -0.021371 Loss_G: 0.013814 Loss_D_real: -0.026801 Loss_D_fake -0.005430
[951/5000][295/535][98017] Loss_D: -0.021919 Loss_G: -0.005166 Loss_D_real: -0.009376 Loss_D_fake 0.012543
[951/5000][300/535][98018] Loss_D: -0.021969 Loss_G: 0.001551 Loss_D_real: -0.020930 Loss_D_fake 0.001039
[951/5000][305/535][98019] Loss_D: -0.022919 Loss_G: 0.006787 Loss_D_real: -0.021883 Loss_D_fake 0.001036
[951/5000][310/535][98020] Loss_D: -0.022890 Loss_G: 0.007653 Loss_D_real: -0.030434 Loss_D_fake -0.007544
[951/5000][315/535][98021] Loss_D: -0.021487 Loss_G: -0.005888 Loss_D_real: -0.007969 Loss_D_fake 0.013517
[951/5000][320/535][98022] Loss_D: -0.022070 Loss_G: 0.017011 Loss_D_real: -0.029663 Loss_D_fake -0.007593
[951/5000][325/535][98023] Loss_D: -0.022021 Loss_G: 0.005725 Loss_D_real: -0.019484 Loss_D_fake 0.002538
[951/5000][330/535][98024] Loss_D: -0.021912 Loss_G: 0.003925 Loss_D_real: -0.012254 Loss_D_fake 0.009657
[951/5000][335/535][98025] Loss_D: -0.022609 Loss_G: -0.001017 Loss_D_real: -0.011341 Loss_D_fake 0.011268
[951/5000][340/535][98026] Loss_D: -0.023352 Loss_G: 0.011021 Loss_D_real: -0.021423 Loss_D_fake 0.001929
[951/5000][345/535][98027] Loss_D: -0.022030 Loss_G: 0.026524 Loss_D_real: -0.025566 Loss_D_fake -0.003536
[951/5000][350/535][98028] Loss_D: -0.022629 Loss_G: 0.007314 Loss_D_real: -0.019277 Loss_D_fake 0.003351
[951/5000][355/535][98029] Loss_D: -0.023076 Loss_G: -0.000274 Loss_D_real: -0.011644 Loss_D_fake 0.011432
[951/5000][360/535][98030] Loss_D: -0.022664 Loss_G: 0.022624 Loss_D_real: -0.033016 Loss_D_fake -0.010352
[951/5000][365/535][98031] Loss_D: -0.022456 Loss_G: 0.000464 Loss_D_real: -0.007975 Loss_D_fake 0.014480
[951/5000][370/535][98032] Loss_D: -0.021491 Loss_G: -0.000723 Loss_D_real: -0.025592 Loss_D_fake -0.004101
[951/5000][375/535][98033] Loss_D: -0.022708 Loss_G: 0.001786 Loss_D_real: -0.014665 Loss_D_fake 0.008043
[951/5000][380/535][98034] Loss_D: -0.021452 Loss_G: 0.001062 Loss_D_real: -0.019036 Loss_D_fake 0.002415
[951/5000][385/535][98035] Loss_D: -0.021240 Loss_G: 0.023251 Loss_D_real: -0.027886 Loss_D_fake -0.006645
[951/5000][390/535][98036] Loss_D: -0.020827 Loss_G: 0.010259 Loss_D_real: -0.024232 Loss_D_fake -0.003405
[951/5000][395/535][98037] Loss_D: -0.022362 Loss_G: 0.012538 Loss_D_real: -0.023657 Loss_D_fake -0.001295
[951/5000][400/535][98038] Loss_D: -0.023049 Loss_G: -0.002998 Loss_D_real: -0.010817 Loss_D_fake 0.012232
[951/5000][405/535][98039] Loss_D: -0.023046 Loss_G: 0.007836 Loss_D_real: -0.018892 Loss_D_fake 0.004153
[951/5000][410/535][98040] Loss_D: -0.021983 Loss_G: 0.015138 Loss_D_real: -0.034970 Loss_D_fake -0.012988
[951/5000][415/535][98041] Loss_D: -0.024309 Loss_G: 0.015666 Loss_D_real: -0.012768 Loss_D_fake 0.011541
[951/5000][420/535][98042] Loss_D: -0.023102 Loss_G: 0.009260 Loss_D_real: -0.008030 Loss_D_fake 0.015073
[951/5000][425/535][98043] Loss_D: -0.022900 Loss_G: -0.011401 Loss_D_real: -0.014742 Loss_D_fake 0.008158
[951/5000][430/535][98044] Loss_D: -0.022548 Loss_G: -0.003385 Loss_D_real: -0.007113 Loss_D_fake 0.015435
[951/5000][435/535][98045] Loss_D: -0.023491 Loss_G: 0.000857 Loss_D_real: -0.023361 Loss_D_fake 0.000130
[951/5000][440/535][98046] Loss_D: -0.022830 Loss_G: 0.008186 Loss_D_real: -0.018933 Loss_D_fake 0.003897
[951/5000][445/535][98047] Loss_D: -0.021941 Loss_G: 0.018752 Loss_D_real: -0.028390 Loss_D_fake -0.006449
[951/5000][450/535][98048] Loss_D: -0.023474 Loss_G: 0.007778 Loss_D_real: -0.014619 Loss_D_fake 0.008854
[951/5000][455/535][98049] Loss_D: -0.023293 Loss_G: -0.001324 Loss_D_real: -0.006168 Loss_D_fake 0.017126
[951/5000][460/535][98050] Loss_D: -0.024310 Loss_G: 0.003363 Loss_D_real: -0.032159 Loss_D_fake -0.007849
[951/5000][465/535][98051] Loss_D: -0.022021 Loss_G: 0.003153 Loss_D_real: -0.012501 Loss_D_fake 0.009519
[951/5000][470/535][98052] Loss_D: -0.022619 Loss_G: 0.017104 Loss_D_real: -0.023179 Loss_D_fake -0.000560
[951/5000][475/535][98053] Loss_D: -0.023231 Loss_G: 0.001599 Loss_D_real: -0.018672 Loss_D_fake 0.004558
[951/5000][480/535][98054] Loss_D: -0.023109 Loss_G: 0.009465 Loss_D_real: -0.015385 Loss_D_fake 0.007724
[951/5000][485/535][98055] Loss_D: -0.022232 Loss_G: 0.013003 Loss_D_real: -0.026760 Loss_D_fake -0.004529
[951/5000][490/535][98056] Loss_D: -0.023224 Loss_G: 0.016615 Loss_D_real: -0.020612 Loss_D_fake 0.002613
[951/5000][495/535][98057] Loss_D: -0.023276 Loss_G: 0.006863 Loss_D_real: -0.021475 Loss_D_fake 0.001801
[951/5000][500/535][98058] Loss_D: -0.023466 Loss_G: 0.013703 Loss_D_real: -0.004819 Loss_D_fake 0.018647
[951/5000][505/535][98059] Loss_D: -0.022979 Loss_G: 0.012095 Loss_D_real: -0.030464 Loss_D_fake -0.007484
[951/5000][510/535][98060] Loss_D: -0.022623 Loss_G: 0.016609 Loss_D_real: -0.023005 Loss_D_fake -0.000381
[951/5000][515/535][98061] Loss_D: -0.023099 Loss_G: 0.001838 Loss_D_real: -0.009074 Loss_D_fake 0.014025
[951/5000][520/535][98062] Loss_D: -0.022270 Loss_G: 0.007531 Loss_D_real: -0.028718 Loss_D_fake -0.006448
[951/5000][525/535][98063] Loss_D: -0.021716 Loss_G: 0.001805 Loss_D_real: -0.004062 Loss_D_fake 0.017654
[951/5000][530/535][98064] Loss_D: -0.023881 Loss_G: 0.005999 Loss_D_real: -0.025838 Loss_D_fake -0.001956
[951/5000][535/535][98065] Loss_D: -0.019908 Loss_G: 0.034686 Loss_D_real: -0.025383 Loss_D_fake -0.005476
[952/5000][5/535][98066] Loss_D: -0.023230 Loss_G: -0.002862 Loss_D_real: -0.015076 Loss_D_fake 0.008154
[952/5000][10/535][98067] Loss_D: -0.021472 Loss_G: 0.020235 Loss_D_real: -0.028243 Loss_D_fake -0.006770
[952/5000][15/535][98068] Loss_D: -0.023241 Loss_G: 0.017198 Loss_D_real: -0.026888 Loss_D_fake -0.003647
[952/5000][20/535][98069] Loss_D: -0.023823 Loss_G: -0.000768 Loss_D_real: -0.010015 Loss_D_fake 0.013807
[952/5000][25/535][98070] Loss_D: -0.022356 Loss_G: 0.014827 Loss_D_real: -0.027840 Loss_D_fake -0.005484
[952/5000][30/535][98071] Loss_D: -0.023829 Loss_G: -0.012091 Loss_D_real: -0.007268 Loss_D_fake 0.016561
[952/5000][35/535][98072] Loss_D: -0.023104 Loss_G: 0.011211 Loss_D_real: -0.024966 Loss_D_fake -0.001862
[952/5000][40/535][98073] Loss_D: -0.023242 Loss_G: -0.008489 Loss_D_real: -0.004556 Loss_D_fake 0.018686
[952/5000][45/535][98074] Loss_D: -0.022535 Loss_G: 0.000205 Loss_D_real: -0.015011 Loss_D_fake 0.007524
[952/5000][50/535][98075] Loss_D: -0.022185 Loss_G: 0.019836 Loss_D_real: -0.029114 Loss_D_fake -0.006928
[952/5000][55/535][98076] Loss_D: -0.022318 Loss_G: -0.003409 Loss_D_real: -0.014670 Loss_D_fake 0.007649
[952/5000][60/535][98077] Loss_D: -0.022280 Loss_G: 0.009701 Loss_D_real: -0.020642 Loss_D_fake 0.001638
[952/5000][65/535][98078] Loss_D: -0.022894 Loss_G: -0.003001 Loss_D_real: -0.017195 Loss_D_fake 0.005700
[952/5000][70/535][98079] Loss_D: -0.021585 Loss_G: 0.012607 Loss_D_real: -0.027250 Loss_D_fake -0.005664
[952/5000][75/535][98080] Loss_D: -0.024081 Loss_G: 0.004576 Loss_D_real: -0.007727 Loss_D_fake 0.016354
[952/5000][80/535][98081] Loss_D: -0.022658 Loss_G: 0.006991 Loss_D_real: -0.025763 Loss_D_fake -0.003106
[952/5000][85/535][98082] Loss_D: -0.021857 Loss_G: 0.004373 Loss_D_real: -0.017710 Loss_D_fake 0.004147
[952/5000][90/535][98083] Loss_D: -0.023427 Loss_G: 0.012611 Loss_D_real: -0.020037 Loss_D_fake 0.003390
[952/5000][95/535][98084] Loss_D: -0.022250 Loss_G: 0.029774 Loss_D_real: -0.034063 Loss_D_fake -0.011812
[952/5000][100/535][98085] Loss_D: -0.019921 Loss_G: 0.019537 Loss_D_real: -0.028620 Loss_D_fake -0.008699
[952/5000][105/535][98086] Loss_D: -0.022770 Loss_G: 0.009344 Loss_D_real: -0.023947 Loss_D_fake -0.001176
[952/5000][110/535][98087] Loss_D: -0.023002 Loss_G: 0.001786 Loss_D_real: -0.025403 Loss_D_fake -0.002401
[952/5000][115/535][98088] Loss_D: -0.023501 Loss_G: 0.018483 Loss_D_real: -0.021509 Loss_D_fake 0.001993
[952/5000][120/535][98089] Loss_D: -0.023569 Loss_G: 0.011950 Loss_D_real: -0.013661 Loss_D_fake 0.009909
[952/5000][125/535][98090] Loss_D: -0.020638 Loss_G: 0.021356 Loss_D_real: -0.020335 Loss_D_fake 0.000302
[952/5000][130/535][98091] Loss_D: -0.022083 Loss_G: -0.013185 Loss_D_real: -0.008436 Loss_D_fake 0.013647
[952/5000][135/535][98092] Loss_D: -0.022054 Loss_G: -0.000278 Loss_D_real: -0.027054 Loss_D_fake -0.005000
[952/5000][140/535][98093] Loss_D: -0.021591 Loss_G: -0.014142 Loss_D_real: -0.007193 Loss_D_fake 0.014398
[952/5000][145/535][98094] Loss_D: -0.022021 Loss_G: -0.006617 Loss_D_real: -0.000503 Loss_D_fake 0.021519
[952/5000][150/535][98095] Loss_D: -0.021275 Loss_G: 0.003595 Loss_D_real: -0.007126 Loss_D_fake 0.014149
[952/5000][155/535][98096] Loss_D: -0.023102 Loss_G: -0.003567 Loss_D_real: -0.008640 Loss_D_fake 0.014462
[952/5000][160/535][98097] Loss_D: -0.022013 Loss_G: 0.005285 Loss_D_real: -0.014918 Loss_D_fake 0.007095
[952/5000][165/535][98098] Loss_D: -0.023711 Loss_G: -0.005684 Loss_D_real: -0.005267 Loss_D_fake 0.018444
[952/5000][170/535][98099] Loss_D: -0.023182 Loss_G: 0.025020 Loss_D_real: -0.028496 Loss_D_fake -0.005314
[952/5000][175/535][98100] Loss_D: -0.022887 Loss_G: 0.003104 Loss_D_real: -0.017322 Loss_D_fake 0.005565
[952/5000][180/535][98101] Loss_D: -0.022906 Loss_G: 0.021874 Loss_D_real: -0.024722 Loss_D_fake -0.001816
[952/5000][185/535][98102] Loss_D: -0.022199 Loss_G: 0.006517 Loss_D_real: -0.026658 Loss_D_fake -0.004459
[952/5000][190/535][98103] Loss_D: -0.022868 Loss_G: -0.005850 Loss_D_real: -0.005766 Loss_D_fake 0.017101
[952/5000][195/535][98104] Loss_D: -0.022789 Loss_G: 0.008523 Loss_D_real: -0.021408 Loss_D_fake 0.001382
[952/5000][200/535][98105] Loss_D: -0.023452 Loss_G: 0.002907 Loss_D_real: -0.019627 Loss_D_fake 0.003825
[952/5000][205/535][98106] Loss_D: -0.022089 Loss_G: 0.001393 Loss_D_real: -0.015221 Loss_D_fake 0.006867
[952/5000][210/535][98107] Loss_D: -0.023177 Loss_G: -0.004562 Loss_D_real: -0.019908 Loss_D_fake 0.003269
[952/5000][215/535][98108] Loss_D: -0.021680 Loss_G: -0.007083 Loss_D_real: -0.012156 Loss_D_fake 0.009524
[952/5000][220/535][98109] Loss_D: -0.022959 Loss_G: 0.000751 Loss_D_real: 0.004573 Loss_D_fake 0.027531
[952/5000][225/535][98110] Loss_D: -0.022660 Loss_G: 0.018840 Loss_D_real: -0.032299 Loss_D_fake -0.009639
[952/5000][230/535][98111] Loss_D: -0.021051 Loss_G: -0.020213 Loss_D_real: 0.008602 Loss_D_fake 0.029653
[952/5000][235/535][98112] Loss_D: -0.020820 Loss_G: 0.016876 Loss_D_real: -0.013488 Loss_D_fake 0.007332
[952/5000][240/535][98113] Loss_D: -0.022757 Loss_G: -0.004169 Loss_D_real: -0.012450 Loss_D_fake 0.010307
[952/5000][245/535][98114] Loss_D: -0.022532 Loss_G: 0.007925 Loss_D_real: -0.024994 Loss_D_fake -0.002461
[952/5000][250/535][98115] Loss_D: -0.021316 Loss_G: 0.017715 Loss_D_real: -0.033060 Loss_D_fake -0.011745
[952/5000][255/535][98116] Loss_D: -0.020963 Loss_G: -0.006064 Loss_D_real: 0.000442 Loss_D_fake 0.021405
[952/5000][260/535][98117] Loss_D: -0.022362 Loss_G: 0.004637 Loss_D_real: -0.012746 Loss_D_fake 0.009616
[952/5000][265/535][98118] Loss_D: -0.021436 Loss_G: 0.002068 Loss_D_real: -0.018907 Loss_D_fake 0.002529
[952/5000][270/535][98119] Loss_D: -0.022466 Loss_G: 0.010119 Loss_D_real: -0.031058 Loss_D_fake -0.008592
[952/5000][275/535][98120] Loss_D: -0.022362 Loss_G: 0.000017 Loss_D_real: -0.007179 Loss_D_fake 0.015182
[952/5000][280/535][98121] Loss_D: -0.021450 Loss_G: -0.011653 Loss_D_real: -0.009781 Loss_D_fake 0.011669
[952/5000][285/535][98122] Loss_D: -0.021694 Loss_G: 0.011331 Loss_D_real: -0.021867 Loss_D_fake -0.000173
[952/5000][290/535][98123] Loss_D: -0.022169 Loss_G: 0.018234 Loss_D_real: -0.026693 Loss_D_fake -0.004524
[952/5000][295/535][98124] Loss_D: -0.024052 Loss_G: 0.008579 Loss_D_real: -0.021074 Loss_D_fake 0.002978
[952/5000][300/535][98125] Loss_D: -0.025002 Loss_G: 0.004486 Loss_D_real: -0.015448 Loss_D_fake 0.009554
[952/5000][305/535][98126] Loss_D: -0.024396 Loss_G: 0.005956 Loss_D_real: -0.014746 Loss_D_fake 0.009650
[952/5000][310/535][98127] Loss_D: -0.023203 Loss_G: 0.019932 Loss_D_real: -0.023786 Loss_D_fake -0.000584
[952/5000][315/535][98128] Loss_D: -0.023482 Loss_G: 0.022360 Loss_D_real: -0.027978 Loss_D_fake -0.004496
[952/5000][320/535][98129] Loss_D: -0.023796 Loss_G: 0.009215 Loss_D_real: -0.022574 Loss_D_fake 0.001222
[952/5000][325/535][98130] Loss_D: -0.022149 Loss_G: -0.004106 Loss_D_real: -0.001995 Loss_D_fake 0.020153
[952/5000][330/535][98131] Loss_D: -0.023093 Loss_G: 0.002004 Loss_D_real: -0.008408 Loss_D_fake 0.014686
[952/5000][335/535][98132] Loss_D: -0.023742 Loss_G: 0.018830 Loss_D_real: -0.023475 Loss_D_fake 0.000267
[952/5000][340/535][98133] Loss_D: -0.023127 Loss_G: 0.020052 Loss_D_real: -0.024717 Loss_D_fake -0.001590
[952/5000][345/535][98134] Loss_D: -0.022963 Loss_G: 0.009139 Loss_D_real: -0.018330 Loss_D_fake 0.004633
[952/5000][350/535][98135] Loss_D: -0.022414 Loss_G: 0.002894 Loss_D_real: -0.019642 Loss_D_fake 0.002772
[952/5000][355/535][98136] Loss_D: -0.022040 Loss_G: 0.009927 Loss_D_real: -0.029658 Loss_D_fake -0.007619
[952/5000][360/535][98137] Loss_D: -0.022443 Loss_G: 0.012276 Loss_D_real: -0.017903 Loss_D_fake 0.004540
[952/5000][365/535][98138] Loss_D: -0.022742 Loss_G: -0.000400 Loss_D_real: -0.008094 Loss_D_fake 0.014648
[952/5000][370/535][98139] Loss_D: -0.021688 Loss_G: 0.001297 Loss_D_real: -0.016583 Loss_D_fake 0.005105
[952/5000][375/535][98140] Loss_D: -0.022024 Loss_G: 0.001764 Loss_D_real: -0.012830 Loss_D_fake 0.009195
[952/5000][380/535][98141] Loss_D: -0.023275 Loss_G: 0.006994 Loss_D_real: -0.020604 Loss_D_fake 0.002671
[952/5000][385/535][98142] Loss_D: -0.023139 Loss_G: 0.001878 Loss_D_real: -0.022522 Loss_D_fake 0.000616
[952/5000][390/535][98143] Loss_D: -0.022953 Loss_G: -0.004500 Loss_D_real: -0.009614 Loss_D_fake 0.013338
[952/5000][395/535][98144] Loss_D: -0.022377 Loss_G: 0.017250 Loss_D_real: -0.024289 Loss_D_fake -0.001912
[952/5000][400/535][98145] Loss_D: -0.024025 Loss_G: 0.006646 Loss_D_real: -0.017955 Loss_D_fake 0.006070
[952/5000][405/535][98146] Loss_D: -0.021982 Loss_G: -0.005680 Loss_D_real: -0.005311 Loss_D_fake 0.016670
[952/5000][410/535][98147] Loss_D: -0.020900 Loss_G: 0.001792 Loss_D_real: -0.010350 Loss_D_fake 0.010550
[952/5000][415/535][98148] Loss_D: -0.023518 Loss_G: 0.015364 Loss_D_real: -0.017424 Loss_D_fake 0.006094
[952/5000][420/535][98149] Loss_D: -0.020114 Loss_G: 0.021512 Loss_D_real: -0.014943 Loss_D_fake 0.005171
[952/5000][425/535][98150] Loss_D: -0.022796 Loss_G: 0.004473 Loss_D_real: -0.017491 Loss_D_fake 0.005305
[952/5000][430/535][98151] Loss_D: -0.022240 Loss_G: 0.019035 Loss_D_real: -0.021056 Loss_D_fake 0.001184
[952/5000][435/535][98152] Loss_D: -0.022734 Loss_G: -0.004637 Loss_D_real: -0.010590 Loss_D_fake 0.012144
[952/5000][440/535][98153] Loss_D: -0.021613 Loss_G: 0.015994 Loss_D_real: -0.026976 Loss_D_fake -0.005363
[952/5000][445/535][98154] Loss_D: -0.022596 Loss_G: 0.004759 Loss_D_real: -0.022052 Loss_D_fake 0.000544
[952/5000][450/535][98155] Loss_D: -0.021291 Loss_G: 0.016462 Loss_D_real: -0.023498 Loss_D_fake -0.002208
[952/5000][455/535][98156] Loss_D: -0.023032 Loss_G: -0.013156 Loss_D_real: -0.008445 Loss_D_fake 0.014587
[952/5000][460/535][98157] Loss_D: -0.022531 Loss_G: 0.021838 Loss_D_real: -0.025954 Loss_D_fake -0.003423
[952/5000][465/535][98158] Loss_D: -0.021230 Loss_G: -0.000385 Loss_D_real: -0.014993 Loss_D_fake 0.006237
[952/5000][470/535][98159] Loss_D: -0.023344 Loss_G: 0.008624 Loss_D_real: -0.022469 Loss_D_fake 0.000876
[952/5000][475/535][98160] Loss_D: -0.022286 Loss_G: 0.009529 Loss_D_real: -0.020880 Loss_D_fake 0.001406
[952/5000][480/535][98161] Loss_D: -0.022815 Loss_G: 0.003951 Loss_D_real: -0.011925 Loss_D_fake 0.010891
[952/5000][485/535][98162] Loss_D: -0.021305 Loss_G: 0.016658 Loss_D_real: -0.028809 Loss_D_fake -0.007504
[952/5000][490/535][98163] Loss_D: -0.021755 Loss_G: 0.012762 Loss_D_real: -0.017218 Loss_D_fake 0.004537
[952/5000][495/535][98164] Loss_D: -0.023858 Loss_G: 0.000864 Loss_D_real: -0.010901 Loss_D_fake 0.012957
[952/5000][500/535][98165] Loss_D: -0.022965 Loss_G: 0.009100 Loss_D_real: -0.026311 Loss_D_fake -0.003346
[952/5000][505/535][98166] Loss_D: -0.023552 Loss_G: 0.000722 Loss_D_real: -0.008810 Loss_D_fake 0.014742
[952/5000][510/535][98167] Loss_D: -0.023149 Loss_G: 0.016102 Loss_D_real: -0.024543 Loss_D_fake -0.001394
[952/5000][515/535][98168] Loss_D: -0.022704 Loss_G: -0.003745 Loss_D_real: -0.008326 Loss_D_fake 0.014378
[952/5000][520/535][98169] Loss_D: -0.023747 Loss_G: 0.013432 Loss_D_real: -0.026308 Loss_D_fake -0.002561
[952/5000][525/535][98170] Loss_D: -0.024007 Loss_G: 0.022798 Loss_D_real: -0.025356 Loss_D_fake -0.001349
[952/5000][530/535][98171] Loss_D: -0.022816 Loss_G: -0.013171 Loss_D_real: -0.012205 Loss_D_fake 0.010611
[952/5000][535/535][98172] Loss_D: -0.022253 Loss_G: 0.019515 Loss_D_real: -0.029906 Loss_D_fake -0.007652
[953/5000][5/535][98173] Loss_D: -0.024239 Loss_G: 0.029548 Loss_D_real: -0.022093 Loss_D_fake 0.002146
[953/5000][10/535][98174] Loss_D: -0.023858 Loss_G: 0.012588 Loss_D_real: -0.025498 Loss_D_fake -0.001640
[953/5000][15/535][98175] Loss_D: -0.023706 Loss_G: 0.008119 Loss_D_real: -0.018515 Loss_D_fake 0.005191
[953/5000][20/535][98176] Loss_D: -0.022341 Loss_G: -0.002383 Loss_D_real: -0.012725 Loss_D_fake 0.009616
[953/5000][25/535][98177] Loss_D: -0.022140 Loss_G: 0.017437 Loss_D_real: -0.021472 Loss_D_fake 0.000668
[953/5000][30/535][98178] Loss_D: -0.022098 Loss_G: -0.005824 Loss_D_real: -0.006234 Loss_D_fake 0.015864
[953/5000][35/535][98179] Loss_D: -0.021526 Loss_G: 0.003520 Loss_D_real: -0.010396 Loss_D_fake 0.011130
[953/5000][40/535][98180] Loss_D: -0.020972 Loss_G: 0.018605 Loss_D_real: -0.021543 Loss_D_fake -0.000571
[953/5000][45/535][98181] Loss_D: -0.021821 Loss_G: 0.013061 Loss_D_real: -0.023038 Loss_D_fake -0.001217
[953/5000][50/535][98182] Loss_D: -0.022832 Loss_G: -0.008152 Loss_D_real: -0.018701 Loss_D_fake 0.004131
[953/5000][55/535][98183] Loss_D: -0.021897 Loss_G: 0.032254 Loss_D_real: -0.029159 Loss_D_fake -0.007262
[953/5000][60/535][98184] Loss_D: -0.020835 Loss_G: -0.010403 Loss_D_real: 0.003900 Loss_D_fake 0.024735
[953/5000][65/535][98185] Loss_D: -0.021038 Loss_G: 0.000394 Loss_D_real: -0.002810 Loss_D_fake 0.018228
[953/5000][70/535][98186] Loss_D: -0.021834 Loss_G: -0.004544 Loss_D_real: -0.011540 Loss_D_fake 0.010293
[953/5000][75/535][98187] Loss_D: -0.022132 Loss_G: 0.013847 Loss_D_real: -0.020466 Loss_D_fake 0.001666
[953/5000][80/535][98188] Loss_D: -0.021865 Loss_G: -0.009468 Loss_D_real: -0.003888 Loss_D_fake 0.017977
[953/5000][85/535][98189] Loss_D: -0.022036 Loss_G: 0.011036 Loss_D_real: -0.025682 Loss_D_fake -0.003646
[953/5000][90/535][98190] Loss_D: -0.022702 Loss_G: -0.002613 Loss_D_real: -0.013578 Loss_D_fake 0.009124
[953/5000][95/535][98191] Loss_D: -0.022711 Loss_G: 0.024726 Loss_D_real: -0.019391 Loss_D_fake 0.003319
[953/5000][100/535][98192] Loss_D: -0.021769 Loss_G: -0.006448 Loss_D_real: -0.005388 Loss_D_fake 0.016381
[953/5000][105/535][98193] Loss_D: -0.021892 Loss_G: 0.015295 Loss_D_real: -0.031201 Loss_D_fake -0.009309
[953/5000][110/535][98194] Loss_D: -0.022405 Loss_G: 0.014371 Loss_D_real: -0.026183 Loss_D_fake -0.003779
[953/5000][115/535][98195] Loss_D: -0.022723 Loss_G: 0.013733 Loss_D_real: -0.025263 Loss_D_fake -0.002540
[953/5000][120/535][98196] Loss_D: -0.022477 Loss_G: -0.014099 Loss_D_real: -0.004671 Loss_D_fake 0.017806
[953/5000][125/535][98197] Loss_D: -0.021943 Loss_G: 0.004120 Loss_D_real: -0.015235 Loss_D_fake 0.006707
[953/5000][130/535][98198] Loss_D: -0.023882 Loss_G: 0.016757 Loss_D_real: -0.015543 Loss_D_fake 0.008339
[953/5000][135/535][98199] Loss_D: -0.023973 Loss_G: 0.000103 Loss_D_real: -0.022284 Loss_D_fake 0.001688
[953/5000][140/535][98200] Loss_D: -0.022806 Loss_G: 0.009007 Loss_D_real: -0.022519 Loss_D_fake 0.000286
[953/5000][145/535][98201] Loss_D: -0.022300 Loss_G: 0.018116 Loss_D_real: -0.025945 Loss_D_fake -0.003645
[953/5000][150/535][98202] Loss_D: -0.022695 Loss_G: 0.026775 Loss_D_real: -0.020139 Loss_D_fake 0.002556
[953/5000][155/535][98203] Loss_D: -0.023158 Loss_G: 0.011509 Loss_D_real: -0.015577 Loss_D_fake 0.007581
[953/5000][160/535][98204] Loss_D: -0.023327 Loss_G: 0.008623 Loss_D_real: -0.024409 Loss_D_fake -0.001082
[953/5000][165/535][98205] Loss_D: -0.023424 Loss_G: 0.005669 Loss_D_real: -0.024661 Loss_D_fake -0.001237
[953/5000][170/535][98206] Loss_D: -0.024222 Loss_G: 0.007652 Loss_D_real: -0.012167 Loss_D_fake 0.012055
[953/5000][175/535][98207] Loss_D: -0.022803 Loss_G: 0.010204 Loss_D_real: -0.019438 Loss_D_fake 0.003365
[953/5000][180/535][98208] Loss_D: -0.022024 Loss_G: 0.032489 Loss_D_real: -0.037400 Loss_D_fake -0.015376
[953/5000][185/535][98209] Loss_D: -0.020833 Loss_G: 0.024475 Loss_D_real: -0.038640 Loss_D_fake -0.017807
[953/5000][190/535][98210] Loss_D: -0.023213 Loss_G: -0.005420 Loss_D_real: -0.012105 Loss_D_fake 0.011108
[953/5000][195/535][98211] Loss_D: -0.022745 Loss_G: 0.010073 Loss_D_real: -0.020757 Loss_D_fake 0.001988
[953/5000][200/535][98212] Loss_D: -0.023416 Loss_G: 0.005362 Loss_D_real: -0.031041 Loss_D_fake -0.007625
[953/5000][205/535][98213] Loss_D: -0.024296 Loss_G: -0.000920 Loss_D_real: -0.015385 Loss_D_fake 0.008911
[953/5000][210/535][98214] Loss_D: -0.022520 Loss_G: 0.006101 Loss_D_real: -0.022292 Loss_D_fake 0.000228
[953/5000][215/535][98215] Loss_D: -0.023106 Loss_G: 0.004216 Loss_D_real: -0.019042 Loss_D_fake 0.004064
[953/5000][220/535][98216] Loss_D: -0.022170 Loss_G: 0.008448 Loss_D_real: -0.023037 Loss_D_fake -0.000867
[953/5000][225/535][98217] Loss_D: -0.022416 Loss_G: 0.001188 Loss_D_real: -0.011403 Loss_D_fake 0.011013
[953/5000][230/535][98218] Loss_D: -0.021665 Loss_G: 0.018496 Loss_D_real: -0.028245 Loss_D_fake -0.006580
[953/5000][235/535][98219] Loss_D: -0.023756 Loss_G: 0.004862 Loss_D_real: -0.022334 Loss_D_fake 0.001422
[953/5000][240/535][98220] Loss_D: -0.023252 Loss_G: 0.005415 Loss_D_real: -0.013650 Loss_D_fake 0.009602
[953/5000][245/535][98221] Loss_D: -0.023134 Loss_G: 0.011334 Loss_D_real: -0.020544 Loss_D_fake 0.002590
[953/5000][250/535][98222] Loss_D: -0.023699 Loss_G: -0.004950 Loss_D_real: -0.012368 Loss_D_fake 0.011331
[953/5000][255/535][98223] Loss_D: -0.023758 Loss_G: 0.012334 Loss_D_real: -0.021677 Loss_D_fake 0.002081
[953/5000][260/535][98224] Loss_D: -0.021787 Loss_G: 0.003136 Loss_D_real: -0.020452 Loss_D_fake 0.001335
[953/5000][265/535][98225] Loss_D: -0.023879 Loss_G: 0.018774 Loss_D_real: -0.029722 Loss_D_fake -0.005843
[953/5000][270/535][98226] Loss_D: -0.023294 Loss_G: -0.002724 Loss_D_real: -0.022990 Loss_D_fake 0.000304
[953/5000][275/535][98227] Loss_D: -0.023507 Loss_G: 0.015262 Loss_D_real: -0.025447 Loss_D_fake -0.001940
[953/5000][280/535][98228] Loss_D: -0.022039 Loss_G: -0.000864 Loss_D_real: -0.017281 Loss_D_fake 0.004758
[953/5000][285/535][98229] Loss_D: -0.021748 Loss_G: 0.021840 Loss_D_real: -0.034319 Loss_D_fake -0.012571
[953/5000][290/535][98230] Loss_D: -0.023150 Loss_G: 0.004860 Loss_D_real: -0.021058 Loss_D_fake 0.002092
[953/5000][295/535][98231] Loss_D: -0.023090 Loss_G: 0.012773 Loss_D_real: -0.016963 Loss_D_fake 0.006127
[953/5000][300/535][98232] Loss_D: -0.023211 Loss_G: 0.008629 Loss_D_real: -0.019279 Loss_D_fake 0.003932
[953/5000][305/535][98233] Loss_D: -0.022702 Loss_G: 0.014453 Loss_D_real: -0.018329 Loss_D_fake 0.004373
[953/5000][310/535][98234] Loss_D: -0.023178 Loss_G: 0.007876 Loss_D_real: -0.018848 Loss_D_fake 0.004330
[953/5000][315/535][98235] Loss_D: -0.021234 Loss_G: 0.024157 Loss_D_real: -0.035856 Loss_D_fake -0.014621
[953/5000][320/535][98236] Loss_D: -0.023868 Loss_G: 0.000397 Loss_D_real: -0.019937 Loss_D_fake 0.003932
[953/5000][325/535][98237] Loss_D: -0.022850 Loss_G: 0.008993 Loss_D_real: -0.036576 Loss_D_fake -0.013726
[953/5000][330/535][98238] Loss_D: -0.021655 Loss_G: -0.002969 Loss_D_real: -0.006931 Loss_D_fake 0.014724
[953/5000][335/535][98239] Loss_D: -0.022320 Loss_G: -0.012908 Loss_D_real: -0.011391 Loss_D_fake 0.010930
[953/5000][340/535][98240] Loss_D: -0.023568 Loss_G: 0.016010 Loss_D_real: -0.020473 Loss_D_fake 0.003095
[953/5000][345/535][98241] Loss_D: -0.024132 Loss_G: 0.001802 Loss_D_real: -0.013145 Loss_D_fake 0.010988
[953/5000][350/535][98242] Loss_D: -0.024266 Loss_G: -0.002244 Loss_D_real: -0.009998 Loss_D_fake 0.014267
[953/5000][355/535][98243] Loss_D: -0.023778 Loss_G: 0.006004 Loss_D_real: -0.014621 Loss_D_fake 0.009157
[953/5000][360/535][98244] Loss_D: -0.023016 Loss_G: 0.015606 Loss_D_real: -0.029036 Loss_D_fake -0.006020
[953/5000][365/535][98245] Loss_D: -0.023080 Loss_G: 0.004223 Loss_D_real: -0.015788 Loss_D_fake 0.007292
[953/5000][370/535][98246] Loss_D: -0.022427 Loss_G: 0.028588 Loss_D_real: -0.033190 Loss_D_fake -0.010763
[953/5000][375/535][98247] Loss_D: -0.021343 Loss_G: -0.009160 Loss_D_real: 0.005583 Loss_D_fake 0.026926
[953/5000][380/535][98248] Loss_D: -0.023447 Loss_G: 0.007913 Loss_D_real: -0.009986 Loss_D_fake 0.013462
[953/5000][385/535][98249] Loss_D: -0.024857 Loss_G: -0.002426 Loss_D_real: -0.032132 Loss_D_fake -0.007275
[953/5000][390/535][98250] Loss_D: -0.022450 Loss_G: 0.003841 Loss_D_real: -0.013374 Loss_D_fake 0.009077
[953/5000][395/535][98251] Loss_D: -0.022273 Loss_G: 0.021658 Loss_D_real: -0.033207 Loss_D_fake -0.010935
[953/5000][400/535][98252] Loss_D: -0.023776 Loss_G: 0.018374 Loss_D_real: -0.025577 Loss_D_fake -0.001801
[953/5000][405/535][98253] Loss_D: -0.023002 Loss_G: -0.010987 Loss_D_real: -0.011340 Loss_D_fake 0.011662
[953/5000][410/535][98254] Loss_D: -0.022210 Loss_G: 0.014981 Loss_D_real: -0.019374 Loss_D_fake 0.002836
[953/5000][415/535][98255] Loss_D: -0.022915 Loss_G: 0.017153 Loss_D_real: -0.031856 Loss_D_fake -0.008941
[953/5000][420/535][98256] Loss_D: -0.023661 Loss_G: 0.010722 Loss_D_real: -0.023168 Loss_D_fake 0.000494
[953/5000][425/535][98257] Loss_D: -0.020600 Loss_G: 0.017657 Loss_D_real: -0.025107 Loss_D_fake -0.004507
[953/5000][430/535][98258] Loss_D: -0.023266 Loss_G: 0.015350 Loss_D_real: -0.020303 Loss_D_fake 0.002963
[953/5000][435/535][98259] Loss_D: -0.022675 Loss_G: 0.016056 Loss_D_real: -0.028081 Loss_D_fake -0.005406
[953/5000][440/535][98260] Loss_D: -0.023932 Loss_G: -0.012518 Loss_D_real: -0.010148 Loss_D_fake 0.013785
[953/5000][445/535][98261] Loss_D: -0.021744 Loss_G: -0.004056 Loss_D_real: -0.004191 Loss_D_fake 0.017554
[953/5000][450/535][98262] Loss_D: -0.023554 Loss_G: 0.014380 Loss_D_real: -0.016150 Loss_D_fake 0.007405
[953/5000][455/535][98263] Loss_D: -0.022498 Loss_G: 0.000831 Loss_D_real: -0.014516 Loss_D_fake 0.007982
[953/5000][460/535][98264] Loss_D: -0.023131 Loss_G: 0.011930 Loss_D_real: -0.009775 Loss_D_fake 0.013356
[953/5000][465/535][98265] Loss_D: -0.022318 Loss_G: 0.003226 Loss_D_real: -0.034715 Loss_D_fake -0.012397
[953/5000][470/535][98266] Loss_D: -0.023218 Loss_G: 0.007576 Loss_D_real: -0.018886 Loss_D_fake 0.004332
[953/5000][475/535][98267] Loss_D: -0.022758 Loss_G: 0.016199 Loss_D_real: -0.026614 Loss_D_fake -0.003855
[953/5000][480/535][98268] Loss_D: -0.022338 Loss_G: -0.000095 Loss_D_real: -0.006770 Loss_D_fake 0.015568
[953/5000][485/535][98269] Loss_D: -0.021453 Loss_G: -0.004589 Loss_D_real: -0.014519 Loss_D_fake 0.006934
[953/5000][490/535][98270] Loss_D: -0.024121 Loss_G: 0.006129 Loss_D_real: -0.029601 Loss_D_fake -0.005480
[953/5000][495/535][98271] Loss_D: -0.023503 Loss_G: -0.009728 Loss_D_real: -0.019658 Loss_D_fake 0.003845
[953/5000][500/535][98272] Loss_D: -0.022474 Loss_G: -0.009162 Loss_D_real: -0.010065 Loss_D_fake 0.012409
[953/5000][505/535][98273] Loss_D: -0.021972 Loss_G: 0.013806 Loss_D_real: -0.024118 Loss_D_fake -0.002146
[953/5000][510/535][98274] Loss_D: -0.022693 Loss_G: 0.004932 Loss_D_real: -0.015609 Loss_D_fake 0.007084
[953/5000][515/535][98275] Loss_D: -0.024458 Loss_G: -0.000179 Loss_D_real: -0.015781 Loss_D_fake 0.008677
[953/5000][520/535][98276] Loss_D: -0.021237 Loss_G: 0.026988 Loss_D_real: -0.031576 Loss_D_fake -0.010339
[953/5000][525/535][98277] Loss_D: -0.023558 Loss_G: 0.000177 Loss_D_real: -0.010875 Loss_D_fake 0.012682
[953/5000][530/535][98278] Loss_D: -0.022564 Loss_G: -0.005878 Loss_D_real: -0.012901 Loss_D_fake 0.009662
[953/5000][535/535][98279] Loss_D: -0.023069 Loss_G: 0.006116 Loss_D_real: -0.028450 Loss_D_fake -0.005381
[954/5000][5/535][98280] Loss_D: -0.023218 Loss_G: 0.008161 Loss_D_real: -0.023595 Loss_D_fake -0.000377
[954/5000][10/535][98281] Loss_D: -0.023666 Loss_G: 0.008519 Loss_D_real: -0.008945 Loss_D_fake 0.014721
[954/5000][15/535][98282] Loss_D: -0.022456 Loss_G: -0.001711 Loss_D_real: -0.018533 Loss_D_fake 0.003923
[954/5000][20/535][98283] Loss_D: -0.023432 Loss_G: 0.018348 Loss_D_real: -0.018090 Loss_D_fake 0.005342
[954/5000][25/535][98284] Loss_D: -0.022374 Loss_G: 0.002919 Loss_D_real: -0.009142 Loss_D_fake 0.013232
[954/5000][30/535][98285] Loss_D: -0.022321 Loss_G: 0.004083 Loss_D_real: -0.006626 Loss_D_fake 0.015695
[954/5000][35/535][98286] Loss_D: -0.022224 Loss_G: -0.012481 Loss_D_real: -0.012967 Loss_D_fake 0.009257
[954/5000][40/535][98287] Loss_D: -0.023578 Loss_G: 0.025987 Loss_D_real: -0.018366 Loss_D_fake 0.005211
[954/5000][45/535][98288] Loss_D: -0.022409 Loss_G: 0.005371 Loss_D_real: -0.026206 Loss_D_fake -0.003798
[954/5000][50/535][98289] Loss_D: -0.020527 Loss_G: -0.007027 Loss_D_real: -0.013200 Loss_D_fake 0.007327
[954/5000][55/535][98290] Loss_D: -0.021177 Loss_G: 0.008869 Loss_D_real: -0.025647 Loss_D_fake -0.004470
[954/5000][60/535][98291] Loss_D: -0.021965 Loss_G: 0.014251 Loss_D_real: -0.020307 Loss_D_fake 0.001658
[954/5000][65/535][98292] Loss_D: -0.022227 Loss_G: 0.014824 Loss_D_real: -0.031867 Loss_D_fake -0.009640
[954/5000][70/535][98293] Loss_D: -0.023159 Loss_G: 0.002590 Loss_D_real: -0.012087 Loss_D_fake 0.011072
[954/5000][75/535][98294] Loss_D: -0.022783 Loss_G: 0.008757 Loss_D_real: -0.025119 Loss_D_fake -0.002336
[954/5000][80/535][98295] Loss_D: -0.021707 Loss_G: -0.014379 Loss_D_real: -0.000478 Loss_D_fake 0.021229
[954/5000][85/535][98296] Loss_D: -0.020970 Loss_G: 0.015681 Loss_D_real: -0.031442 Loss_D_fake -0.010472
[954/5000][90/535][98297] Loss_D: -0.022908 Loss_G: 0.018497 Loss_D_real: -0.023166 Loss_D_fake -0.000258
[954/5000][95/535][98298] Loss_D: -0.022447 Loss_G: 0.001182 Loss_D_real: -0.009564 Loss_D_fake 0.012883
[954/5000][100/535][98299] Loss_D: -0.022133 Loss_G: 0.002029 Loss_D_real: -0.008654 Loss_D_fake 0.013480
[954/5000][105/535][98300] Loss_D: -0.021666 Loss_G: 0.002899 Loss_D_real: -0.019068 Loss_D_fake 0.002598
[954/5000][110/535][98301] Loss_D: -0.022461 Loss_G: 0.002078 Loss_D_real: -0.024441 Loss_D_fake -0.001980
[954/5000][115/535][98302] Loss_D: -0.022091 Loss_G: 0.028905 Loss_D_real: -0.028214 Loss_D_fake -0.006123
[954/5000][120/535][98303] Loss_D: -0.022731 Loss_G: -0.001829 Loss_D_real: -0.018218 Loss_D_fake 0.004513
[954/5000][125/535][98304] Loss_D: -0.022866 Loss_G: -0.000275 Loss_D_real: -0.024774 Loss_D_fake -0.001908
[954/5000][130/535][98305] Loss_D: -0.024214 Loss_G: 0.003156 Loss_D_real: -0.017478 Loss_D_fake 0.006736
[954/5000][135/535][98306] Loss_D: -0.021897 Loss_G: 0.021126 Loss_D_real: -0.034499 Loss_D_fake -0.012602
[954/5000][140/535][98307] Loss_D: -0.022725 Loss_G: -0.009342 Loss_D_real: -0.014584 Loss_D_fake 0.008141
[954/5000][145/535][98308] Loss_D: -0.023721 Loss_G: 0.011250 Loss_D_real: -0.016732 Loss_D_fake 0.006988
[954/5000][150/535][98309] Loss_D: -0.024029 Loss_G: 0.003895 Loss_D_real: -0.019577 Loss_D_fake 0.004452
[954/5000][155/535][98310] Loss_D: -0.022601 Loss_G: 0.008543 Loss_D_real: -0.021056 Loss_D_fake 0.001545
[954/5000][160/535][98311] Loss_D: -0.022839 Loss_G: 0.026579 Loss_D_real: -0.026592 Loss_D_fake -0.003753
[954/5000][165/535][98312] Loss_D: -0.022101 Loss_G: 0.001011 Loss_D_real: -0.013103 Loss_D_fake 0.008997
[954/5000][170/535][98313] Loss_D: -0.023191 Loss_G: 0.018059 Loss_D_real: -0.032640 Loss_D_fake -0.009448
[954/5000][175/535][98314] Loss_D: -0.022775 Loss_G: 0.002866 Loss_D_real: -0.014922 Loss_D_fake 0.007853
[954/5000][180/535][98315] Loss_D: -0.022613 Loss_G: 0.017591 Loss_D_real: -0.024363 Loss_D_fake -0.001750
[954/5000][185/535][98316] Loss_D: -0.022258 Loss_G: -0.000853 Loss_D_real: -0.003876 Loss_D_fake 0.018383
[954/5000][190/535][98317] Loss_D: -0.021481 Loss_G: 0.030027 Loss_D_real: -0.031632 Loss_D_fake -0.010151
[954/5000][195/535][98318] Loss_D: -0.022411 Loss_G: 0.015791 Loss_D_real: -0.021632 Loss_D_fake 0.000780
[954/5000][200/535][98319] Loss_D: -0.022767 Loss_G: -0.004167 Loss_D_real: -0.012963 Loss_D_fake 0.009804
[954/5000][205/535][98320] Loss_D: -0.021762 Loss_G: 0.015636 Loss_D_real: -0.024080 Loss_D_fake -0.002318
[954/5000][210/535][98321] Loss_D: -0.022023 Loss_G: 0.009342 Loss_D_real: -0.012564 Loss_D_fake 0.009459
[954/5000][215/535][98322] Loss_D: -0.023211 Loss_G: 0.017554 Loss_D_real: -0.031465 Loss_D_fake -0.008254
[954/5000][220/535][98323] Loss_D: -0.022772 Loss_G: 0.019708 Loss_D_real: -0.024551 Loss_D_fake -0.001779
[954/5000][225/535][98324] Loss_D: -0.024137 Loss_G: 0.008858 Loss_D_real: -0.021606 Loss_D_fake 0.002531
[954/5000][230/535][98325] Loss_D: -0.022553 Loss_G: 0.021616 Loss_D_real: -0.029313 Loss_D_fake -0.006760
[954/5000][235/535][98326] Loss_D: -0.023147 Loss_G: 0.002576 Loss_D_real: -0.011391 Loss_D_fake 0.011756
[954/5000][240/535][98327] Loss_D: -0.022685 Loss_G: 0.005259 Loss_D_real: -0.015040 Loss_D_fake 0.007646
[954/5000][245/535][98328] Loss_D: -0.022702 Loss_G: 0.004817 Loss_D_real: -0.020521 Loss_D_fake 0.002181
[954/5000][250/535][98329] Loss_D: -0.021822 Loss_G: 0.026738 Loss_D_real: -0.033849 Loss_D_fake -0.012026
[954/5000][255/535][98330] Loss_D: -0.023135 Loss_G: 0.008918 Loss_D_real: -0.018668 Loss_D_fake 0.004467
[954/5000][260/535][98331] Loss_D: -0.022335 Loss_G: 0.013479 Loss_D_real: -0.030308 Loss_D_fake -0.007973
[954/5000][265/535][98332] Loss_D: -0.023843 Loss_G: -0.005917 Loss_D_real: -0.021837 Loss_D_fake 0.002006
[954/5000][270/535][98333] Loss_D: -0.023637 Loss_G: 0.007317 Loss_D_real: -0.019380 Loss_D_fake 0.004257
[954/5000][275/535][98334] Loss_D: -0.023336 Loss_G: 0.015362 Loss_D_real: -0.017886 Loss_D_fake 0.005450
[954/5000][280/535][98335] Loss_D: -0.022787 Loss_G: -0.003172 Loss_D_real: -0.009092 Loss_D_fake 0.013695
[954/5000][285/535][98336] Loss_D: -0.022282 Loss_G: 0.013698 Loss_D_real: -0.018480 Loss_D_fake 0.003803
[954/5000][290/535][98337] Loss_D: -0.021972 Loss_G: 0.001461 Loss_D_real: -0.013587 Loss_D_fake 0.008385
[954/5000][295/535][98338] Loss_D: -0.023978 Loss_G: 0.019626 Loss_D_real: -0.025668 Loss_D_fake -0.001690
[954/5000][300/535][98339] Loss_D: -0.022536 Loss_G: -0.006713 Loss_D_real: -0.003584 Loss_D_fake 0.018953
[954/5000][305/535][98340] Loss_D: -0.019965 Loss_G: 0.017534 Loss_D_real: -0.028801 Loss_D_fake -0.008836
[954/5000][310/535][98341] Loss_D: -0.023272 Loss_G: 0.004721 Loss_D_real: -0.016711 Loss_D_fake 0.006560
[954/5000][315/535][98342] Loss_D: -0.023696 Loss_G: 0.002003 Loss_D_real: -0.021440 Loss_D_fake 0.002256
[954/5000][320/535][98343] Loss_D: -0.022420 Loss_G: 0.020009 Loss_D_real: -0.026895 Loss_D_fake -0.004474
[954/5000][325/535][98344] Loss_D: -0.022893 Loss_G: 0.010273 Loss_D_real: -0.014720 Loss_D_fake 0.008174
[954/5000][330/535][98345] Loss_D: -0.021921 Loss_G: 0.013500 Loss_D_real: -0.027961 Loss_D_fake -0.006040
[954/5000][335/535][98346] Loss_D: -0.022594 Loss_G: 0.002576 Loss_D_real: -0.022300 Loss_D_fake 0.000295
[954/5000][340/535][98347] Loss_D: -0.022901 Loss_G: -0.000106 Loss_D_real: -0.021453 Loss_D_fake 0.001449
[954/5000][345/535][98348] Loss_D: -0.021698 Loss_G: 0.013268 Loss_D_real: -0.024262 Loss_D_fake -0.002564
[954/5000][350/535][98349] Loss_D: -0.020790 Loss_G: 0.017518 Loss_D_real: -0.032149 Loss_D_fake -0.011358
[954/5000][355/535][98350] Loss_D: -0.022264 Loss_G: 0.005705 Loss_D_real: -0.015520 Loss_D_fake 0.006744
[954/5000][360/535][98351] Loss_D: -0.023156 Loss_G: 0.002550 Loss_D_real: -0.007609 Loss_D_fake 0.015547
[954/5000][365/535][98352] Loss_D: -0.022822 Loss_G: 0.008469 Loss_D_real: -0.020398 Loss_D_fake 0.002423
[954/5000][370/535][98353] Loss_D: -0.022059 Loss_G: -0.007686 Loss_D_real: -0.001421 Loss_D_fake 0.020638
[954/5000][375/535][98354] Loss_D: -0.019942 Loss_G: 0.018884 Loss_D_real: -0.025417 Loss_D_fake -0.005475
[954/5000][380/535][98355] Loss_D: -0.021042 Loss_G: 0.016593 Loss_D_real: -0.028478 Loss_D_fake -0.007436
[954/5000][385/535][98356] Loss_D: -0.022250 Loss_G: 0.002399 Loss_D_real: -0.015518 Loss_D_fake 0.006733
[954/5000][390/535][98357] Loss_D: -0.022379 Loss_G: -0.004073 Loss_D_real: -0.016703 Loss_D_fake 0.005676
[954/5000][395/535][98358] Loss_D: -0.022286 Loss_G: -0.001270 Loss_D_real: -0.018313 Loss_D_fake 0.003973
[954/5000][400/535][98359] Loss_D: -0.022894 Loss_G: 0.005108 Loss_D_real: -0.011445 Loss_D_fake 0.011449
[954/5000][405/535][98360] Loss_D: -0.022710 Loss_G: 0.016002 Loss_D_real: -0.031932 Loss_D_fake -0.009221
[954/5000][410/535][98361] Loss_D: -0.022730 Loss_G: 0.011423 Loss_D_real: -0.017490 Loss_D_fake 0.005241
[954/5000][415/535][98362] Loss_D: -0.023387 Loss_G: 0.016047 Loss_D_real: -0.026527 Loss_D_fake -0.003140
[954/5000][420/535][98363] Loss_D: -0.023440 Loss_G: 0.007011 Loss_D_real: -0.018503 Loss_D_fake 0.004937
[954/5000][425/535][98364] Loss_D: -0.023519 Loss_G: 0.003670 Loss_D_real: -0.010400 Loss_D_fake 0.013119
[954/5000][430/535][98365] Loss_D: -0.022809 Loss_G: 0.000672 Loss_D_real: -0.007651 Loss_D_fake 0.015158
[954/5000][435/535][98366] Loss_D: -0.021740 Loss_G: -0.001097 Loss_D_real: -0.018795 Loss_D_fake 0.002946
[954/5000][440/535][98367] Loss_D: -0.023241 Loss_G: 0.019400 Loss_D_real: -0.022714 Loss_D_fake 0.000527
[954/5000][445/535][98368] Loss_D: -0.023301 Loss_G: 0.007381 Loss_D_real: -0.025184 Loss_D_fake -0.001883
[954/5000][450/535][98369] Loss_D: -0.024168 Loss_G: 0.022120 Loss_D_real: -0.023888 Loss_D_fake 0.000280
[954/5000][455/535][98370] Loss_D: -0.021972 Loss_G: 0.020511 Loss_D_real: -0.032775 Loss_D_fake -0.010803
[954/5000][460/535][98371] Loss_D: -0.023259 Loss_G: 0.005074 Loss_D_real: -0.018721 Loss_D_fake 0.004538
[954/5000][465/535][98372] Loss_D: -0.023640 Loss_G: 0.017237 Loss_D_real: -0.027728 Loss_D_fake -0.004088
[954/5000][470/535][98373] Loss_D: -0.022889 Loss_G: 0.008544 Loss_D_real: -0.022821 Loss_D_fake 0.000068
[954/5000][475/535][98374] Loss_D: -0.024282 Loss_G: 0.001399 Loss_D_real: -0.004724 Loss_D_fake 0.019558
[954/5000][480/535][98375] Loss_D: -0.022730 Loss_G: -0.013986 Loss_D_real: -0.002301 Loss_D_fake 0.020429
[954/5000][485/535][98376] Loss_D: -0.022140 Loss_G: 0.010523 Loss_D_real: -0.028625 Loss_D_fake -0.006484
[954/5000][490/535][98377] Loss_D: -0.021841 Loss_G: -0.011517 Loss_D_real: -0.009233 Loss_D_fake 0.012608
[954/5000][495/535][98378] Loss_D: -0.022688 Loss_G: 0.002545 Loss_D_real: -0.017972 Loss_D_fake 0.004716
[954/5000][500/535][98379] Loss_D: -0.022927 Loss_G: 0.020651 Loss_D_real: -0.017008 Loss_D_fake 0.005919
[954/5000][505/535][98380] Loss_D: -0.020919 Loss_G: 0.023098 Loss_D_real: -0.031114 Loss_D_fake -0.010194
[954/5000][510/535][98381] Loss_D: -0.021108 Loss_G: 0.001129 Loss_D_real: -0.007309 Loss_D_fake 0.013799
[954/5000][515/535][98382] Loss_D: -0.021456 Loss_G: -0.012261 Loss_D_real: -0.008677 Loss_D_fake 0.012779
[954/5000][520/535][98383] Loss_D: -0.023448 Loss_G: 0.022589 Loss_D_real: -0.024648 Loss_D_fake -0.001200
[954/5000][525/535][98384] Loss_D: -0.021961 Loss_G: -0.001545 Loss_D_real: -0.017774 Loss_D_fake 0.004187
[954/5000][530/535][98385] Loss_D: -0.023139 Loss_G: 0.009692 Loss_D_real: -0.026395 Loss_D_fake -0.003257
[954/5000][535/535][98386] Loss_D: -0.021120 Loss_G: -0.008817 Loss_D_real: -0.014530 Loss_D_fake 0.006589
[955/5000][5/535][98387] Loss_D: -0.022283 Loss_G: 0.026245 Loss_D_real: -0.024004 Loss_D_fake -0.001721
[955/5000][10/535][98388] Loss_D: -0.021500 Loss_G: 0.014121 Loss_D_real: -0.017921 Loss_D_fake 0.003579
[955/5000][15/535][98389] Loss_D: -0.023431 Loss_G: 0.025800 Loss_D_real: -0.021224 Loss_D_fake 0.002207
[955/5000][20/535][98390] Loss_D: -0.023351 Loss_G: 0.004534 Loss_D_real: -0.019842 Loss_D_fake 0.003508
[955/5000][25/535][98391] Loss_D: -0.023921 Loss_G: -0.006388 Loss_D_real: -0.016330 Loss_D_fake 0.007591
[955/5000][30/535][98392] Loss_D: -0.021177 Loss_G: 0.004806 Loss_D_real: -0.027555 Loss_D_fake -0.006378
[955/5000][35/535][98393] Loss_D: -0.021487 Loss_G: 0.023730 Loss_D_real: -0.025436 Loss_D_fake -0.003949
[955/5000][40/535][98394] Loss_D: -0.022358 Loss_G: -0.009966 Loss_D_real: -0.007255 Loss_D_fake 0.015103
[955/5000][45/535][98395] Loss_D: -0.022657 Loss_G: 0.021589 Loss_D_real: -0.030455 Loss_D_fake -0.007798
[955/5000][50/535][98396] Loss_D: -0.023480 Loss_G: 0.001734 Loss_D_real: -0.009349 Loss_D_fake 0.014131
[955/5000][55/535][98397] Loss_D: -0.021545 Loss_G: 0.018286 Loss_D_real: -0.026889 Loss_D_fake -0.005344
[955/5000][60/535][98398] Loss_D: -0.023215 Loss_G: -0.007363 Loss_D_real: -0.011245 Loss_D_fake 0.011970
[955/5000][65/535][98399] Loss_D: -0.023668 Loss_G: 0.009386 Loss_D_real: -0.018873 Loss_D_fake 0.004795
[955/5000][70/535][98400] Loss_D: -0.023877 Loss_G: 0.019468 Loss_D_real: -0.023721 Loss_D_fake 0.000155
[955/5000][75/535][98401] Loss_D: -0.023012 Loss_G: 0.017752 Loss_D_real: -0.031209 Loss_D_fake -0.008197
[955/5000][80/535][98402] Loss_D: -0.022457 Loss_G: -0.003047 Loss_D_real: -0.007494 Loss_D_fake 0.014964
[955/5000][85/535][98403] Loss_D: -0.023211 Loss_G: 0.006866 Loss_D_real: -0.014077 Loss_D_fake 0.009134
[955/5000][90/535][98404] Loss_D: -0.022283 Loss_G: 0.004854 Loss_D_real: -0.019269 Loss_D_fake 0.003013
[955/5000][95/535][98405] Loss_D: -0.023784 Loss_G: -0.005088 Loss_D_real: -0.014462 Loss_D_fake 0.009322
[955/5000][100/535][98406] Loss_D: -0.022227 Loss_G: 0.007743 Loss_D_real: -0.013154 Loss_D_fake 0.009073
[955/5000][105/535][98407] Loss_D: -0.023761 Loss_G: 0.015276 Loss_D_real: -0.027177 Loss_D_fake -0.003416
[955/5000][110/535][98408] Loss_D: -0.023081 Loss_G: 0.009826 Loss_D_real: -0.018486 Loss_D_fake 0.004595
[955/5000][115/535][98409] Loss_D: -0.021289 Loss_G: 0.017903 Loss_D_real: -0.034491 Loss_D_fake -0.013202
[955/5000][120/535][98410] Loss_D: -0.022539 Loss_G: 0.005240 Loss_D_real: -0.014693 Loss_D_fake 0.007846
[955/5000][125/535][98411] Loss_D: -0.022953 Loss_G: 0.005971 Loss_D_real: -0.031583 Loss_D_fake -0.008630
[955/5000][130/535][98412] Loss_D: -0.022629 Loss_G: 0.006746 Loss_D_real: -0.016793 Loss_D_fake 0.005835
[955/5000][135/535][98413] Loss_D: -0.023093 Loss_G: 0.017121 Loss_D_real: -0.031899 Loss_D_fake -0.008806
[955/5000][140/535][98414] Loss_D: -0.024010 Loss_G: 0.000646 Loss_D_real: -0.010473 Loss_D_fake 0.013537
[955/5000][145/535][98415] Loss_D: -0.021682 Loss_G: 0.004084 Loss_D_real: -0.023168 Loss_D_fake -0.001486
[955/5000][150/535][98416] Loss_D: -0.022960 Loss_G: 0.018231 Loss_D_real: -0.021102 Loss_D_fake 0.001857
[955/5000][155/535][98417] Loss_D: -0.021095 Loss_G: -0.001869 Loss_D_real: -0.006144 Loss_D_fake 0.014951
[955/5000][160/535][98418] Loss_D: -0.024222 Loss_G: -0.003466 Loss_D_real: -0.015172 Loss_D_fake 0.009049
[955/5000][165/535][98419] Loss_D: -0.024156 Loss_G: 0.014507 Loss_D_real: -0.022887 Loss_D_fake 0.001270
[955/5000][170/535][98420] Loss_D: -0.024564 Loss_G: 0.011335 Loss_D_real: -0.018654 Loss_D_fake 0.005910
[955/5000][175/535][98421] Loss_D: -0.022751 Loss_G: -0.006024 Loss_D_real: -0.007276 Loss_D_fake 0.015475
[955/5000][180/535][98422] Loss_D: -0.021213 Loss_G: 0.020621 Loss_D_real: -0.031517 Loss_D_fake -0.010304
[955/5000][185/535][98423] Loss_D: -0.023893 Loss_G: 0.020751 Loss_D_real: -0.028634 Loss_D_fake -0.004740
[955/5000][190/535][98424] Loss_D: -0.023498 Loss_G: 0.006333 Loss_D_real: -0.021965 Loss_D_fake 0.001533
[955/5000][195/535][98425] Loss_D: -0.023002 Loss_G: 0.013799 Loss_D_real: -0.022651 Loss_D_fake 0.000351
[955/5000][200/535][98426] Loss_D: -0.023402 Loss_G: 0.006499 Loss_D_real: -0.024062 Loss_D_fake -0.000660
[955/5000][205/535][98427] Loss_D: -0.024113 Loss_G: 0.016510 Loss_D_real: -0.019726 Loss_D_fake 0.004387
[955/5000][210/535][98428] Loss_D: -0.023004 Loss_G: -0.013637 Loss_D_real: -0.011973 Loss_D_fake 0.011031
[955/5000][215/535][98429] Loss_D: -0.021646 Loss_G: -0.003269 Loss_D_real: -0.018163 Loss_D_fake 0.003483
[955/5000][220/535][98430] Loss_D: -0.021979 Loss_G: 0.007540 Loss_D_real: -0.023283 Loss_D_fake -0.001304
[955/5000][225/535][98431] Loss_D: -0.023442 Loss_G: 0.021671 Loss_D_real: -0.020540 Loss_D_fake 0.002902
[955/5000][230/535][98432] Loss_D: -0.022205 Loss_G: 0.014421 Loss_D_real: -0.021012 Loss_D_fake 0.001193
[955/5000][235/535][98433] Loss_D: -0.023488 Loss_G: 0.011295 Loss_D_real: -0.026054 Loss_D_fake -0.002565
[955/5000][240/535][98434] Loss_D: -0.021606 Loss_G: 0.010924 Loss_D_real: -0.018809 Loss_D_fake 0.002798
[955/5000][245/535][98435] Loss_D: -0.022593 Loss_G: 0.009591 Loss_D_real: -0.019553 Loss_D_fake 0.003040
[955/5000][250/535][98436] Loss_D: -0.022453 Loss_G: 0.000635 Loss_D_real: -0.019880 Loss_D_fake 0.002573
[955/5000][255/535][98437] Loss_D: -0.022605 Loss_G: 0.030430 Loss_D_real: -0.027350 Loss_D_fake -0.004745
[955/5000][260/535][98438] Loss_D: -0.021594 Loss_G: -0.015937 Loss_D_real: -0.012220 Loss_D_fake 0.009374
[955/5000][265/535][98439] Loss_D: -0.021706 Loss_G: 0.021375 Loss_D_real: -0.035994 Loss_D_fake -0.014287
[955/5000][270/535][98440] Loss_D: -0.022709 Loss_G: 0.007880 Loss_D_real: -0.021463 Loss_D_fake 0.001247
[955/5000][275/535][98441] Loss_D: -0.021729 Loss_G: 0.020734 Loss_D_real: -0.027942 Loss_D_fake -0.006213
[955/5000][280/535][98442] Loss_D: -0.023292 Loss_G: -0.002450 Loss_D_real: -0.015006 Loss_D_fake 0.008287
[955/5000][285/535][98443] Loss_D: -0.021450 Loss_G: 0.018019 Loss_D_real: -0.034120 Loss_D_fake -0.012670
[955/5000][290/535][98444] Loss_D: -0.023030 Loss_G: 0.011928 Loss_D_real: -0.019814 Loss_D_fake 0.003217
[955/5000][295/535][98445] Loss_D: -0.022300 Loss_G: 0.003394 Loss_D_real: -0.017521 Loss_D_fake 0.004779
[955/5000][300/535][98446] Loss_D: -0.020222 Loss_G: -0.013984 Loss_D_real: -0.010018 Loss_D_fake 0.010204
[955/5000][305/535][98447] Loss_D: -0.023525 Loss_G: 0.021341 Loss_D_real: -0.023062 Loss_D_fake 0.000463
[955/5000][310/535][98448] Loss_D: -0.022917 Loss_G: 0.022390 Loss_D_real: -0.023230 Loss_D_fake -0.000313
[955/5000][315/535][98449] Loss_D: -0.021927 Loss_G: 0.001628 Loss_D_real: -0.020835 Loss_D_fake 0.001092
[955/5000][320/535][98450] Loss_D: -0.023464 Loss_G: -0.004662 Loss_D_real: -0.021433 Loss_D_fake 0.002031
[955/5000][325/535][98451] Loss_D: -0.023097 Loss_G: 0.006541 Loss_D_real: -0.024739 Loss_D_fake -0.001642
[955/5000][330/535][98452] Loss_D: -0.023034 Loss_G: 0.013459 Loss_D_real: -0.026160 Loss_D_fake -0.003126
[955/5000][335/535][98453] Loss_D: -0.022349 Loss_G: 0.028584 Loss_D_real: -0.039202 Loss_D_fake -0.016853
[955/5000][340/535][98454] Loss_D: -0.023144 Loss_G: 0.013422 Loss_D_real: -0.029267 Loss_D_fake -0.006123
[955/5000][345/535][98455] Loss_D: -0.020566 Loss_G: 0.028674 Loss_D_real: -0.024985 Loss_D_fake -0.004419
[955/5000][350/535][98456] Loss_D: -0.023162 Loss_G: -0.002928 Loss_D_real: -0.024365 Loss_D_fake -0.001203
[955/5000][355/535][98457] Loss_D: -0.022813 Loss_G: 0.005399 Loss_D_real: -0.018670 Loss_D_fake 0.004143
[955/5000][360/535][98458] Loss_D: -0.021861 Loss_G: -0.003184 Loss_D_real: -0.015445 Loss_D_fake 0.006416
[955/5000][365/535][98459] Loss_D: -0.022475 Loss_G: 0.012477 Loss_D_real: -0.022665 Loss_D_fake -0.000190
[955/5000][370/535][98460] Loss_D: -0.022531 Loss_G: 0.009992 Loss_D_real: -0.012022 Loss_D_fake 0.010509
[955/5000][375/535][98461] Loss_D: -0.020319 Loss_G: 0.023038 Loss_D_real: -0.026920 Loss_D_fake -0.006602
[955/5000][380/535][98462] Loss_D: -0.022667 Loss_G: -0.011711 Loss_D_real: -0.007596 Loss_D_fake 0.015071
[955/5000][385/535][98463] Loss_D: -0.022653 Loss_G: -0.003393 Loss_D_real: -0.005255 Loss_D_fake 0.017399
[955/5000][390/535][98464] Loss_D: -0.021708 Loss_G: 0.008943 Loss_D_real: -0.022884 Loss_D_fake -0.001175
[955/5000][395/535][98465] Loss_D: -0.022711 Loss_G: 0.009928 Loss_D_real: -0.015162 Loss_D_fake 0.007548
[955/5000][400/535][98466] Loss_D: -0.021859 Loss_G: -0.008051 Loss_D_real: -0.003163 Loss_D_fake 0.018696
[955/5000][405/535][98467] Loss_D: -0.022966 Loss_G: 0.003527 Loss_D_real: -0.014823 Loss_D_fake 0.008142
[955/5000][410/535][98468] Loss_D: -0.023294 Loss_G: 0.016274 Loss_D_real: -0.029092 Loss_D_fake -0.005797
[955/5000][415/535][98469] Loss_D: -0.022721 Loss_G: -0.005342 Loss_D_real: -0.009822 Loss_D_fake 0.012899
[955/5000][420/535][98470] Loss_D: -0.023031 Loss_G: 0.006196 Loss_D_real: -0.011934 Loss_D_fake 0.011098
[955/5000][425/535][98471] Loss_D: -0.022804 Loss_G: 0.020702 Loss_D_real: -0.027741 Loss_D_fake -0.004938
[955/5000][430/535][98472] Loss_D: -0.024299 Loss_G: 0.004302 Loss_D_real: -0.013709 Loss_D_fake 0.010590
[955/5000][435/535][98473] Loss_D: -0.022472 Loss_G: 0.010505 Loss_D_real: -0.021316 Loss_D_fake 0.001156
[955/5000][440/535][98474] Loss_D: -0.022699 Loss_G: -0.007445 Loss_D_real: -0.015976 Loss_D_fake 0.006723
[955/5000][445/535][98475] Loss_D: -0.021890 Loss_G: -0.001347 Loss_D_real: -0.013132 Loss_D_fake 0.008758
[955/5000][450/535][98476] Loss_D: -0.022607 Loss_G: 0.011990 Loss_D_real: -0.014277 Loss_D_fake 0.008330
[955/5000][455/535][98477] Loss_D: -0.022564 Loss_G: -0.002602 Loss_D_real: 0.000724 Loss_D_fake 0.023288
[955/5000][460/535][98478] Loss_D: -0.022544 Loss_G: 0.014960 Loss_D_real: -0.027883 Loss_D_fake -0.005339
[955/5000][465/535][98479] Loss_D: -0.023919 Loss_G: -0.009521 Loss_D_real: -0.007583 Loss_D_fake 0.016336
[955/5000][470/535][98480] Loss_D: -0.020787 Loss_G: 0.025284 Loss_D_real: -0.030837 Loss_D_fake -0.010049
[955/5000][475/535][98481] Loss_D: -0.022437 Loss_G: 0.006535 Loss_D_real: -0.031045 Loss_D_fake -0.008608
[955/5000][480/535][98482] Loss_D: -0.023256 Loss_G: -0.000245 Loss_D_real: -0.012228 Loss_D_fake 0.011027
[955/5000][485/535][98483] Loss_D: -0.022160 Loss_G: -0.003488 Loss_D_real: -0.007735 Loss_D_fake 0.014425
[955/5000][490/535][98484] Loss_D: -0.022727 Loss_G: 0.011074 Loss_D_real: -0.014218 Loss_D_fake 0.008508
[955/5000][495/535][98485] Loss_D: -0.022810 Loss_G: 0.014383 Loss_D_real: -0.026478 Loss_D_fake -0.003667
[955/5000][500/535][98486] Loss_D: -0.023841 Loss_G: 0.010914 Loss_D_real: -0.020975 Loss_D_fake 0.002866
[955/5000][505/535][98487] Loss_D: -0.023935 Loss_G: 0.012186 Loss_D_real: -0.013295 Loss_D_fake 0.010640
[955/5000][510/535][98488] Loss_D: -0.022360 Loss_G: 0.008040 Loss_D_real: -0.025449 Loss_D_fake -0.003089
[955/5000][515/535][98489] Loss_D: -0.022311 Loss_G: -0.002197 Loss_D_real: -0.010648 Loss_D_fake 0.011663
[955/5000][520/535][98490] Loss_D: -0.021806 Loss_G: 0.024107 Loss_D_real: -0.028877 Loss_D_fake -0.007071
[955/5000][525/535][98491] Loss_D: -0.021231 Loss_G: 0.016489 Loss_D_real: -0.029985 Loss_D_fake -0.008754
[955/5000][530/535][98492] Loss_D: -0.023603 Loss_G: 0.004481 Loss_D_real: -0.024913 Loss_D_fake -0.001310
[955/5000][535/535][98493] Loss_D: -0.023683 Loss_G: 0.012479 Loss_D_real: -0.013232 Loss_D_fake 0.010451
[956/5000][5/535][98494] Loss_D: -0.022531 Loss_G: -0.011100 Loss_D_real: -0.006916 Loss_D_fake 0.015614
[956/5000][10/535][98495] Loss_D: -0.022648 Loss_G: 0.015181 Loss_D_real: -0.014903 Loss_D_fake 0.007746
[956/5000][15/535][98496] Loss_D: -0.021618 Loss_G: -0.009530 Loss_D_real: -0.015310 Loss_D_fake 0.006308
[956/5000][20/535][98497] Loss_D: -0.022204 Loss_G: 0.019645 Loss_D_real: -0.029761 Loss_D_fake -0.007557
[956/5000][25/535][98498] Loss_D: -0.023284 Loss_G: 0.019889 Loss_D_real: -0.025430 Loss_D_fake -0.002145
[956/5000][30/535][98499] Loss_D: -0.023339 Loss_G: -0.021317 Loss_D_real: -0.012829 Loss_D_fake 0.010510
[956/5000][35/535][98500] Loss_D: -0.021250 Loss_G: 0.008838 Loss_D_real: -0.009317 Loss_D_fake 0.011933
[956/5000][135/535][98501] Loss_D: -0.023836 Loss_G: -0.012813 Loss_D_real: -0.002164 Loss_D_fake 0.021671
[956/5000][140/535][98502] Loss_D: -0.022277 Loss_G: -0.000863 Loss_D_real: -0.015955 Loss_D_fake 0.006322
[956/5000][145/535][98503] Loss_D: -0.021158 Loss_G: 0.001202 Loss_D_real: -0.020726 Loss_D_fake 0.000432
[956/5000][150/535][98504] Loss_D: -0.022106 Loss_G: 0.013136 Loss_D_real: -0.020925 Loss_D_fake 0.001181
[956/5000][155/535][98505] Loss_D: -0.020755 Loss_G: -0.004726 Loss_D_real: -0.023935 Loss_D_fake -0.003179
[956/5000][160/535][98506] Loss_D: -0.020966 Loss_G: 0.010589 Loss_D_real: -0.022537 Loss_D_fake -0.001571
[956/5000][165/535][98507] Loss_D: -0.021592 Loss_G: 0.013111 Loss_D_real: -0.019775 Loss_D_fake 0.001817
[956/5000][170/535][98508] Loss_D: -0.022567 Loss_G: 0.002050 Loss_D_real: -0.013082 Loss_D_fake 0.009484
[956/5000][175/535][98509] Loss_D: -0.021586 Loss_G: 0.002529 Loss_D_real: -0.026500 Loss_D_fake -0.004914
[956/5000][180/535][98510] Loss_D: -0.022825 Loss_G: 0.002182 Loss_D_real: -0.023962 Loss_D_fake -0.001136
[956/5000][185/535][98511] Loss_D: -0.023444 Loss_G: -0.004410 Loss_D_real: -0.016905 Loss_D_fake 0.006539
[956/5000][190/535][98512] Loss_D: -0.021885 Loss_G: 0.018776 Loss_D_real: -0.029221 Loss_D_fake -0.007337
[956/5000][195/535][98513] Loss_D: -0.022300 Loss_G: -0.009644 Loss_D_real: -0.009475 Loss_D_fake 0.012825
[956/5000][200/535][98514] Loss_D: -0.021353 Loss_G: 0.010216 Loss_D_real: -0.024757 Loss_D_fake -0.003404
[956/5000][205/535][98515] Loss_D: -0.021484 Loss_G: -0.009734 Loss_D_real: -0.006439 Loss_D_fake 0.015046
[956/5000][210/535][98516] Loss_D: -0.022618 Loss_G: -0.003733 Loss_D_real: -0.013665 Loss_D_fake 0.008953
[956/5000][215/535][98517] Loss_D: -0.019873 Loss_G: 0.012748 Loss_D_real: -0.018842 Loss_D_fake 0.001030
[956/5000][220/535][98518] Loss_D: -0.022528 Loss_G: 0.015922 Loss_D_real: -0.023694 Loss_D_fake -0.001165
[956/5000][225/535][98519] Loss_D: -0.022258 Loss_G: 0.003877 Loss_D_real: -0.023882 Loss_D_fake -0.001624
[956/5000][230/535][98520] Loss_D: -0.022941 Loss_G: -0.007202 Loss_D_real: -0.016937 Loss_D_fake 0.006004
[956/5000][235/535][98521] Loss_D: -0.022286 Loss_G: 0.009499 Loss_D_real: -0.012224 Loss_D_fake 0.010063
[956/5000][240/535][98522] Loss_D: -0.023446 Loss_G: -0.001953 Loss_D_real: -0.011126 Loss_D_fake 0.012320
[956/5000][245/535][98523] Loss_D: -0.021333 Loss_G: 0.020187 Loss_D_real: -0.035719 Loss_D_fake -0.014386
[956/5000][250/535][98524] Loss_D: -0.024345 Loss_G: 0.010983 Loss_D_real: -0.020275 Loss_D_fake 0.004070
[956/5000][255/535][98525] Loss_D: -0.022334 Loss_G: -0.005189 Loss_D_real: -0.002577 Loss_D_fake 0.019757
[956/5000][260/535][98526] Loss_D: -0.022690 Loss_G: 0.015966 Loss_D_real: -0.021876 Loss_D_fake 0.000814
[956/5000][265/535][98527] Loss_D: -0.023605 Loss_G: 0.018941 Loss_D_real: -0.023960 Loss_D_fake -0.000355
[956/5000][270/535][98528] Loss_D: -0.022713 Loss_G: 0.027658 Loss_D_real: -0.029115 Loss_D_fake -0.006401
[956/5000][275/535][98529] Loss_D: -0.022758 Loss_G: 0.000875 Loss_D_real: -0.004406 Loss_D_fake 0.018352
[956/5000][280/535][98530] Loss_D: -0.024404 Loss_G: 0.015953 Loss_D_real: -0.018812 Loss_D_fake 0.005592
[956/5000][285/535][98531] Loss_D: -0.022828 Loss_G: -0.006524 Loss_D_real: -0.013528 Loss_D_fake 0.009300
[956/5000][290/535][98532] Loss_D: -0.021821 Loss_G: 0.023003 Loss_D_real: -0.023683 Loss_D_fake -0.001862
[956/5000][295/535][98533] Loss_D: -0.023114 Loss_G: 0.008688 Loss_D_real: -0.015288 Loss_D_fake 0.007826
[956/5000][300/535][98534] Loss_D: -0.024044 Loss_G: 0.007502 Loss_D_real: -0.021009 Loss_D_fake 0.003036
[956/5000][305/535][98535] Loss_D: -0.022893 Loss_G: 0.013534 Loss_D_real: -0.017465 Loss_D_fake 0.005427
[956/5000][310/535][98536] Loss_D: -0.022932 Loss_G: -0.000415 Loss_D_real: -0.015291 Loss_D_fake 0.007641
[956/5000][315/535][98537] Loss_D: -0.023625 Loss_G: 0.010025 Loss_D_real: -0.026605 Loss_D_fake -0.002980
[956/5000][320/535][98538] Loss_D: -0.022339 Loss_G: 0.007767 Loss_D_real: -0.020484 Loss_D_fake 0.001855
[956/5000][325/535][98539] Loss_D: -0.023535 Loss_G: 0.001650 Loss_D_real: -0.021311 Loss_D_fake 0.002224
[956/5000][330/535][98540] Loss_D: -0.022433 Loss_G: -0.000744 Loss_D_real: -0.008949 Loss_D_fake 0.013484
[956/5000][335/535][98541] Loss_D: -0.023537 Loss_G: 0.012607 Loss_D_real: -0.019160 Loss_D_fake 0.004377
[956/5000][340/535][98542] Loss_D: -0.022511 Loss_G: -0.008397 Loss_D_real: -0.005502 Loss_D_fake 0.017009
[956/5000][345/535][98543] Loss_D: -0.022728 Loss_G: 0.020441 Loss_D_real: -0.036445 Loss_D_fake -0.013717
[956/5000][350/535][98544] Loss_D: -0.024407 Loss_G: 0.020088 Loss_D_real: -0.028690 Loss_D_fake -0.004283
[956/5000][355/535][98545] Loss_D: -0.022343 Loss_G: 0.015229 Loss_D_real: -0.024817 Loss_D_fake -0.002474
[956/5000][360/535][98546] Loss_D: -0.022851 Loss_G: 0.010409 Loss_D_real: -0.007629 Loss_D_fake 0.015222
[956/5000][365/535][98547] Loss_D: -0.022786 Loss_G: -0.004698 Loss_D_real: -0.004701 Loss_D_fake 0.018084
[956/5000][370/535][98548] Loss_D: -0.022084 Loss_G: 0.032402 Loss_D_real: -0.026421 Loss_D_fake -0.004337
[956/5000][375/535][98549] Loss_D: -0.022167 Loss_G: 0.010799 Loss_D_real: -0.017450 Loss_D_fake 0.004717
[956/5000][380/535][98550] Loss_D: -0.021949 Loss_G: 0.011763 Loss_D_real: -0.034681 Loss_D_fake -0.012732
[956/5000][385/535][98551] Loss_D: -0.022224 Loss_G: 0.006805 Loss_D_real: -0.023839 Loss_D_fake -0.001614
[956/5000][390/535][98552] Loss_D: -0.021373 Loss_G: -0.004753 Loss_D_real: -0.007015 Loss_D_fake 0.014358
[956/5000][395/535][98553] Loss_D: -0.023163 Loss_G: 0.002174 Loss_D_real: -0.026891 Loss_D_fake -0.003729
[956/5000][400/535][98554] Loss_D: -0.021648 Loss_G: -0.010452 Loss_D_real: 0.001212 Loss_D_fake 0.022860
[956/5000][405/535][98555] Loss_D: -0.022090 Loss_G: 0.009581 Loss_D_real: -0.019239 Loss_D_fake 0.002851
[956/5000][410/535][98556] Loss_D: -0.022201 Loss_G: 0.008756 Loss_D_real: -0.015115 Loss_D_fake 0.007087
[956/5000][415/535][98557] Loss_D: -0.023078 Loss_G: -0.002808 Loss_D_real: -0.005525 Loss_D_fake 0.017552
[956/5000][420/535][98558] Loss_D: -0.022287 Loss_G: 0.016734 Loss_D_real: -0.032031 Loss_D_fake -0.009744
[956/5000][425/535][98559] Loss_D: -0.023344 Loss_G: 0.015208 Loss_D_real: -0.030577 Loss_D_fake -0.007233
[956/5000][430/535][98560] Loss_D: -0.022254 Loss_G: -0.003726 Loss_D_real: -0.014149 Loss_D_fake 0.008105
[956/5000][435/535][98561] Loss_D: -0.021967 Loss_G: 0.006852 Loss_D_real: -0.015107 Loss_D_fake 0.006860
[956/5000][440/535][98562] Loss_D: -0.023599 Loss_G: -0.002174 Loss_D_real: -0.021250 Loss_D_fake 0.002348
[956/5000][445/535][98563] Loss_D: -0.023025 Loss_G: 0.004842 Loss_D_real: -0.015418 Loss_D_fake 0.007608
[956/5000][450/535][98564] Loss_D: -0.022566 Loss_G: 0.010008 Loss_D_real: -0.025842 Loss_D_fake -0.003276
[956/5000][455/535][98565] Loss_D: -0.023300 Loss_G: 0.004625 Loss_D_real: -0.015121 Loss_D_fake 0.008179
[956/5000][460/535][98566] Loss_D: -0.022653 Loss_G: 0.004780 Loss_D_real: -0.013067 Loss_D_fake 0.009586
[956/5000][465/535][98567] Loss_D: -0.023187 Loss_G: 0.009328 Loss_D_real: -0.022147 Loss_D_fake 0.001040
[956/5000][470/535][98568] Loss_D: -0.022798 Loss_G: 0.004654 Loss_D_real: -0.020467 Loss_D_fake 0.002331
[956/5000][475/535][98569] Loss_D: -0.021686 Loss_G: -0.011742 Loss_D_real: -0.017239 Loss_D_fake 0.004447
[956/5000][480/535][98570] Loss_D: -0.022779 Loss_G: 0.004114 Loss_D_real: -0.013394 Loss_D_fake 0.009385
[956/5000][485/535][98571] Loss_D: -0.022093 Loss_G: 0.026728 Loss_D_real: -0.031071 Loss_D_fake -0.008978
[956/5000][490/535][98572] Loss_D: -0.022523 Loss_G: -0.000637 Loss_D_real: -0.010834 Loss_D_fake 0.011689
[956/5000][495/535][98573] Loss_D: -0.021759 Loss_G: -0.012036 Loss_D_real: 0.004532 Loss_D_fake 0.026291
[956/5000][500/535][98574] Loss_D: -0.022834 Loss_G: -0.004594 Loss_D_real: -0.014835 Loss_D_fake 0.007998
[956/5000][505/535][98575] Loss_D: -0.021982 Loss_G: 0.012342 Loss_D_real: -0.025697 Loss_D_fake -0.003715
[956/5000][510/535][98576] Loss_D: -0.021986 Loss_G: 0.013018 Loss_D_real: -0.030264 Loss_D_fake -0.008278
[956/5000][515/535][98577] Loss_D: -0.022890 Loss_G: -0.010006 Loss_D_real: -0.004276 Loss_D_fake 0.018615
[956/5000][520/535][98578] Loss_D: -0.023764 Loss_G: 0.007991 Loss_D_real: -0.017296 Loss_D_fake 0.006469
[956/5000][525/535][98579] Loss_D: -0.023067 Loss_G: 0.003619 Loss_D_real: -0.020069 Loss_D_fake 0.002998
[956/5000][530/535][98580] Loss_D: -0.023811 Loss_G: -0.001443 Loss_D_real: -0.010698 Loss_D_fake 0.013112
[956/5000][535/535][98581] Loss_D: -0.024539 Loss_G: 0.020216 Loss_D_real: -0.020703 Loss_D_fake 0.003836
[957/5000][5/535][98582] Loss_D: -0.023601 Loss_G: 0.011808 Loss_D_real: -0.021994 Loss_D_fake 0.001607
[957/5000][10/535][98583] Loss_D: -0.023152 Loss_G: -0.003438 Loss_D_real: -0.010845 Loss_D_fake 0.012307
[957/5000][15/535][98584] Loss_D: -0.023707 Loss_G: 0.005655 Loss_D_real: -0.027735 Loss_D_fake -0.004028
[957/5000][20/535][98585] Loss_D: -0.023478 Loss_G: 0.010258 Loss_D_real: -0.011661 Loss_D_fake 0.011817
[957/5000][25/535][98586] Loss_D: -0.023088 Loss_G: -0.006659 Loss_D_real: -0.000193 Loss_D_fake 0.022894
[957/5000][30/535][98587] Loss_D: -0.021764 Loss_G: 0.002658 Loss_D_real: -0.019552 Loss_D_fake 0.002213
[957/5000][35/535][98588] Loss_D: -0.022837 Loss_G: -0.001722 Loss_D_real: -0.010228 Loss_D_fake 0.012609
[957/5000][40/535][98589] Loss_D: -0.025116 Loss_G: 0.020071 Loss_D_real: -0.019944 Loss_D_fake 0.005172
[957/5000][45/535][98590] Loss_D: -0.022785 Loss_G: -0.002034 Loss_D_real: -0.013643 Loss_D_fake 0.009141
[957/5000][50/535][98591] Loss_D: -0.022307 Loss_G: -0.003898 Loss_D_real: -0.015986 Loss_D_fake 0.006321
[957/5000][55/535][98592] Loss_D: -0.022735 Loss_G: 0.010945 Loss_D_real: -0.015443 Loss_D_fake 0.007291
[957/5000][60/535][98593] Loss_D: -0.021467 Loss_G: 0.018015 Loss_D_real: -0.033232 Loss_D_fake -0.011766
[957/5000][65/535][98594] Loss_D: -0.023388 Loss_G: -0.000880 Loss_D_real: -0.015845 Loss_D_fake 0.007543
[957/5000][70/535][98595] Loss_D: -0.021385 Loss_G: 0.013311 Loss_D_real: -0.027961 Loss_D_fake -0.006575
[957/5000][75/535][98596] Loss_D: -0.021970 Loss_G: 0.004210 Loss_D_real: -0.016489 Loss_D_fake 0.005482
[957/5000][80/535][98597] Loss_D: -0.022874 Loss_G: -0.010319 Loss_D_real: -0.004080 Loss_D_fake 0.018795
[957/5000][85/535][98598] Loss_D: -0.021041 Loss_G: 0.003448 Loss_D_real: -0.020223 Loss_D_fake 0.000818
[957/5000][90/535][98599] Loss_D: -0.021990 Loss_G: 0.008400 Loss_D_real: -0.018941 Loss_D_fake 0.003050
[957/5000][95/535][98600] Loss_D: -0.022195 Loss_G: 0.029301 Loss_D_real: -0.029994 Loss_D_fake -0.007798
[957/5000][100/535][98601] Loss_D: -0.022140 Loss_G: 0.027956 Loss_D_real: -0.029780 Loss_D_fake -0.007640
[957/5000][105/535][98602] Loss_D: -0.024251 Loss_G: 0.013349 Loss_D_real: -0.014437 Loss_D_fake 0.009814
[957/5000][110/535][98603] Loss_D: -0.022996 Loss_G: 0.000967 Loss_D_real: -0.016965 Loss_D_fake 0.006031
[957/5000][115/535][98604] Loss_D: -0.024643 Loss_G: 0.025683 Loss_D_real: -0.025624 Loss_D_fake -0.000981
[957/5000][120/535][98605] Loss_D: -0.022878 Loss_G: 0.001070 Loss_D_real: -0.024674 Loss_D_fake -0.001796
[957/5000][125/535][98606] Loss_D: -0.021922 Loss_G: 0.015917 Loss_D_real: -0.038808 Loss_D_fake -0.016886
[957/5000][130/535][98607] Loss_D: -0.022393 Loss_G: 0.016683 Loss_D_real: -0.031048 Loss_D_fake -0.008655
[957/5000][135/535][98608] Loss_D: -0.023142 Loss_G: 0.018167 Loss_D_real: -0.023338 Loss_D_fake -0.000195
[957/5000][140/535][98609] Loss_D: -0.023512 Loss_G: 0.022423 Loss_D_real: -0.023096 Loss_D_fake 0.000416
[957/5000][145/535][98610] Loss_D: -0.023199 Loss_G: 0.003968 Loss_D_real: -0.014981 Loss_D_fake 0.008217
[957/5000][150/535][98611] Loss_D: -0.021349 Loss_G: 0.008881 Loss_D_real: -0.028213 Loss_D_fake -0.006863
[957/5000][155/535][98612] Loss_D: -0.021257 Loss_G: 0.029016 Loss_D_real: -0.020393 Loss_D_fake 0.000864
[957/5000][160/535][98613] Loss_D: -0.023426 Loss_G: 0.004291 Loss_D_real: -0.020062 Loss_D_fake 0.003364
[957/5000][165/535][98614] Loss_D: -0.023540 Loss_G: 0.018336 Loss_D_real: -0.018301 Loss_D_fake 0.005239
[957/5000][170/535][98615] Loss_D: -0.022879 Loss_G: -0.006776 Loss_D_real: -0.008931 Loss_D_fake 0.013947
[957/5000][175/535][98616] Loss_D: -0.022355 Loss_G: 0.014054 Loss_D_real: -0.021839 Loss_D_fake 0.000517
[957/5000][180/535][98617] Loss_D: -0.022455 Loss_G: 0.012921 Loss_D_real: -0.017380 Loss_D_fake 0.005075
[957/5000][185/535][98618] Loss_D: -0.022389 Loss_G: 0.009928 Loss_D_real: -0.028656 Loss_D_fake -0.006267
[957/5000][190/535][98619] Loss_D: -0.022084 Loss_G: -0.003286 Loss_D_real: -0.026756 Loss_D_fake -0.004671
[957/5000][195/535][98620] Loss_D: -0.024099 Loss_G: 0.011855 Loss_D_real: -0.019127 Loss_D_fake 0.004972
[957/5000][200/535][98621] Loss_D: -0.023219 Loss_G: 0.001787 Loss_D_real: -0.020347 Loss_D_fake 0.002872
[957/5000][205/535][98622] Loss_D: -0.024180 Loss_G: 0.016139 Loss_D_real: -0.025050 Loss_D_fake -0.000870
[957/5000][210/535][98623] Loss_D: -0.022363 Loss_G: -0.005214 Loss_D_real: -0.008914 Loss_D_fake 0.013449
[957/5000][215/535][98624] Loss_D: -0.022614 Loss_G: -0.007949 Loss_D_real: -0.003299 Loss_D_fake 0.019315
[957/5000][220/535][98625] Loss_D: -0.022986 Loss_G: 0.009831 Loss_D_real: -0.017045 Loss_D_fake 0.005941
[957/5000][225/535][98626] Loss_D: -0.021810 Loss_G: 0.028981 Loss_D_real: -0.033327 Loss_D_fake -0.011517
[957/5000][230/535][98627] Loss_D: -0.022947 Loss_G: -0.009090 Loss_D_real: -0.009019 Loss_D_fake 0.013928
[957/5000][235/535][98628] Loss_D: -0.020633 Loss_G: 0.029150 Loss_D_real: -0.036064 Loss_D_fake -0.015432
[957/5000][240/535][98629] Loss_D: -0.023296 Loss_G: 0.011261 Loss_D_real: -0.018180 Loss_D_fake 0.005116
[957/5000][245/535][98630] Loss_D: -0.023642 Loss_G: -0.005338 Loss_D_real: -0.013762 Loss_D_fake 0.009879
[957/5000][250/535][98631] Loss_D: -0.022511 Loss_G: 0.002739 Loss_D_real: -0.013844 Loss_D_fake 0.008666
[957/5000][255/535][98632] Loss_D: -0.023701 Loss_G: 0.009752 Loss_D_real: -0.033393 Loss_D_fake -0.009692
[957/5000][260/535][98633] Loss_D: -0.022072 Loss_G: -0.016410 Loss_D_real: -0.001326 Loss_D_fake 0.020746
[957/5000][265/535][98634] Loss_D: -0.023270 Loss_G: 0.024728 Loss_D_real: -0.027519 Loss_D_fake -0.004249
[957/5000][270/535][98635] Loss_D: -0.022996 Loss_G: 0.016660 Loss_D_real: -0.025797 Loss_D_fake -0.002801
[957/5000][275/535][98636] Loss_D: -0.022939 Loss_G: 0.002563 Loss_D_real: -0.018390 Loss_D_fake 0.004549
[957/5000][280/535][98637] Loss_D: -0.022162 Loss_G: 0.006043 Loss_D_real: -0.025799 Loss_D_fake -0.003638
[957/5000][285/535][98638] Loss_D: -0.022370 Loss_G: 0.013892 Loss_D_real: -0.026801 Loss_D_fake -0.004431
[957/5000][290/535][98639] Loss_D: -0.023065 Loss_G: -0.002155 Loss_D_real: -0.009248 Loss_D_fake 0.013817
[957/5000][295/535][98640] Loss_D: -0.023527 Loss_G: 0.009318 Loss_D_real: -0.024656 Loss_D_fake -0.001129
[957/5000][300/535][98641] Loss_D: -0.023262 Loss_G: -0.000428 Loss_D_real: -0.019846 Loss_D_fake 0.003416
[957/5000][305/535][98642] Loss_D: -0.022362 Loss_G: 0.011833 Loss_D_real: -0.021779 Loss_D_fake 0.000583
[957/5000][310/535][98643] Loss_D: -0.023019 Loss_G: -0.009388 Loss_D_real: -0.001367 Loss_D_fake 0.021652
[957/5000][315/535][98644] Loss_D: -0.022572 Loss_G: 0.009571 Loss_D_real: -0.014051 Loss_D_fake 0.008521
[957/5000][320/535][98645] Loss_D: -0.023756 Loss_G: 0.002057 Loss_D_real: -0.003398 Loss_D_fake 0.020359
[957/5000][325/535][98646] Loss_D: -0.021650 Loss_G: 0.015404 Loss_D_real: -0.029524 Loss_D_fake -0.007873
[957/5000][330/535][98647] Loss_D: -0.022184 Loss_G: 0.001674 Loss_D_real: -0.007592 Loss_D_fake 0.014593
[957/5000][335/535][98648] Loss_D: -0.022684 Loss_G: 0.022442 Loss_D_real: -0.020246 Loss_D_fake 0.002438
[957/5000][340/535][98649] Loss_D: -0.021950 Loss_G: 0.019795 Loss_D_real: -0.018681 Loss_D_fake 0.003269
[957/5000][345/535][98650] Loss_D: -0.022988 Loss_G: 0.016318 Loss_D_real: -0.024251 Loss_D_fake -0.001264
[957/5000][350/535][98651] Loss_D: -0.021204 Loss_G: 0.017812 Loss_D_real: -0.026245 Loss_D_fake -0.005041
[957/5000][355/535][98652] Loss_D: -0.023566 Loss_G: 0.000355 Loss_D_real: -0.021146 Loss_D_fake 0.002420
[957/5000][360/535][98653] Loss_D: -0.022694 Loss_G: 0.009184 Loss_D_real: -0.024478 Loss_D_fake -0.001784
[957/5000][365/535][98654] Loss_D: -0.023280 Loss_G: 0.006772 Loss_D_real: -0.022409 Loss_D_fake 0.000871
[957/5000][370/535][98655] Loss_D: -0.024150 Loss_G: -0.007231 Loss_D_real: -0.020528 Loss_D_fake 0.003623
[957/5000][375/535][98656] Loss_D: -0.023215 Loss_G: 0.011588 Loss_D_real: -0.014986 Loss_D_fake 0.008228
[957/5000][380/535][98657] Loss_D: -0.023521 Loss_G: 0.012849 Loss_D_real: -0.017525 Loss_D_fake 0.005996
[957/5000][385/535][98658] Loss_D: -0.023091 Loss_G: 0.006643 Loss_D_real: -0.017694 Loss_D_fake 0.005397
[957/5000][390/535][98659] Loss_D: -0.022045 Loss_G: 0.011005 Loss_D_real: -0.017859 Loss_D_fake 0.004187
[957/5000][395/535][98660] Loss_D: -0.022881 Loss_G: 0.004928 Loss_D_real: -0.023483 Loss_D_fake -0.000602
[957/5000][400/535][98661] Loss_D: -0.022370 Loss_G: -0.006054 Loss_D_real: -0.008013 Loss_D_fake 0.014357
[957/5000][405/535][98662] Loss_D: -0.022042 Loss_G: 0.006564 Loss_D_real: -0.016711 Loss_D_fake 0.005331
[957/5000][410/535][98663] Loss_D: -0.022164 Loss_G: 0.010506 Loss_D_real: -0.027372 Loss_D_fake -0.005209
[957/5000][415/535][98664] Loss_D: -0.022628 Loss_G: 0.023815 Loss_D_real: -0.026094 Loss_D_fake -0.003466
[957/5000][420/535][98665] Loss_D: -0.022055 Loss_G: -0.014383 Loss_D_real: -0.009606 Loss_D_fake 0.012449
[957/5000][425/535][98666] Loss_D: -0.021909 Loss_G: 0.013278 Loss_D_real: -0.027131 Loss_D_fake -0.005222
[957/5000][430/535][98667] Loss_D: -0.021233 Loss_G: 0.007354 Loss_D_real: -0.016455 Loss_D_fake 0.004778
[957/5000][435/535][98668] Loss_D: -0.022843 Loss_G: 0.017086 Loss_D_real: -0.028139 Loss_D_fake -0.005297
[957/5000][440/535][98669] Loss_D: -0.023845 Loss_G: 0.006799 Loss_D_real: -0.026836 Loss_D_fake -0.002990
[957/5000][445/535][98670] Loss_D: -0.021615 Loss_G: 0.003439 Loss_D_real: -0.015620 Loss_D_fake 0.005995
[957/5000][450/535][98671] Loss_D: -0.022031 Loss_G: -0.013195 Loss_D_real: -0.012390 Loss_D_fake 0.009641
[957/5000][455/535][98672] Loss_D: -0.021859 Loss_G: 0.029140 Loss_D_real: -0.031567 Loss_D_fake -0.009707
[957/5000][460/535][98673] Loss_D: -0.022651 Loss_G: 0.007028 Loss_D_real: -0.019628 Loss_D_fake 0.003023
[957/5000][465/535][98674] Loss_D: -0.022887 Loss_G: 0.018534 Loss_D_real: -0.028124 Loss_D_fake -0.005237
[957/5000][470/535][98675] Loss_D: -0.021778 Loss_G: -0.006391 Loss_D_real: 0.002766 Loss_D_fake 0.024543
[957/5000][475/535][98676] Loss_D: -0.022528 Loss_G: 0.015402 Loss_D_real: -0.027754 Loss_D_fake -0.005227
[957/5000][480/535][98677] Loss_D: -0.023426 Loss_G: 0.020210 Loss_D_real: -0.020539 Loss_D_fake 0.002887
[957/5000][485/535][98678] Loss_D: -0.023971 Loss_G: 0.010576 Loss_D_real: -0.025033 Loss_D_fake -0.001062
[957/5000][490/535][98679] Loss_D: -0.024124 Loss_G: 0.014028 Loss_D_real: -0.027217 Loss_D_fake -0.003093
[957/5000][495/535][98680] Loss_D: -0.023356 Loss_G: 0.010551 Loss_D_real: -0.022845 Loss_D_fake 0.000511
[957/5000][500/535][98681] Loss_D: -0.023038 Loss_G: 0.020265 Loss_D_real: -0.023719 Loss_D_fake -0.000680
[957/5000][505/535][98682] Loss_D: -0.022121 Loss_G: 0.010915 Loss_D_real: -0.028248 Loss_D_fake -0.006127
[957/5000][510/535][98683] Loss_D: -0.022868 Loss_G: 0.021650 Loss_D_real: -0.017957 Loss_D_fake 0.004911
[957/5000][515/535][98684] Loss_D: -0.024175 Loss_G: 0.012270 Loss_D_real: -0.016967 Loss_D_fake 0.007208
[957/5000][520/535][98685] Loss_D: -0.022823 Loss_G: 0.011374 Loss_D_real: -0.025388 Loss_D_fake -0.002565
[957/5000][525/535][98686] Loss_D: -0.023372 Loss_G: 0.023092 Loss_D_real: -0.033230 Loss_D_fake -0.009858
[957/5000][530/535][98687] Loss_D: -0.022432 Loss_G: -0.003695 Loss_D_real: -0.006719 Loss_D_fake 0.015713
[957/5000][535/535][98688] Loss_D: -0.023808 Loss_G: -0.003275 Loss_D_real: -0.034247 Loss_D_fake -0.010440
[958/5000][5/535][98689] Loss_D: -0.023512 Loss_G: 0.013741 Loss_D_real: -0.023835 Loss_D_fake -0.000322
[958/5000][10/535][98690] Loss_D: -0.022581 Loss_G: 0.015794 Loss_D_real: -0.015514 Loss_D_fake 0.007067
[958/5000][15/535][98691] Loss_D: -0.024694 Loss_G: 0.009281 Loss_D_real: -0.013270 Loss_D_fake 0.011424
[958/5000][20/535][98692] Loss_D: -0.022298 Loss_G: -0.002990 Loss_D_real: -0.019500 Loss_D_fake 0.002798
[958/5000][25/535][98693] Loss_D: -0.022264 Loss_G: -0.000024 Loss_D_real: -0.011504 Loss_D_fake 0.010760
[958/5000][30/535][98694] Loss_D: -0.022544 Loss_G: 0.014882 Loss_D_real: -0.012145 Loss_D_fake 0.010399
[958/5000][35/535][98695] Loss_D: -0.021986 Loss_G: 0.002599 Loss_D_real: -0.025572 Loss_D_fake -0.003586
[958/5000][40/535][98696] Loss_D: -0.023125 Loss_G: 0.001250 Loss_D_real: -0.019975 Loss_D_fake 0.003150
[958/5000][45/535][98697] Loss_D: -0.021951 Loss_G: 0.007415 Loss_D_real: -0.023341 Loss_D_fake -0.001389
[958/5000][50/535][98698] Loss_D: -0.023633 Loss_G: 0.004342 Loss_D_real: -0.010270 Loss_D_fake 0.013362
[958/5000][55/535][98699] Loss_D: -0.023630 Loss_G: 0.004872 Loss_D_real: -0.018430 Loss_D_fake 0.005200
[958/5000][60/535][98700] Loss_D: -0.022920 Loss_G: 0.006774 Loss_D_real: -0.027244 Loss_D_fake -0.004324
[958/5000][65/535][98701] Loss_D: -0.024334 Loss_G: 0.005662 Loss_D_real: -0.010441 Loss_D_fake 0.013893
[958/5000][70/535][98702] Loss_D: -0.022270 Loss_G: -0.001292 Loss_D_real: -0.010460 Loss_D_fake 0.011809
[958/5000][75/535][98703] Loss_D: -0.023913 Loss_G: -0.009699 Loss_D_real: -0.013739 Loss_D_fake 0.010174
[958/5000][80/535][98704] Loss_D: -0.022917 Loss_G: 0.016658 Loss_D_real: -0.033845 Loss_D_fake -0.010928
[958/5000][85/535][98705] Loss_D: -0.022478 Loss_G: 0.008529 Loss_D_real: -0.018050 Loss_D_fake 0.004428
[958/5000][90/535][98706] Loss_D: -0.023777 Loss_G: 0.006805 Loss_D_real: -0.017297 Loss_D_fake 0.006480
[958/5000][95/535][98707] Loss_D: -0.023668 Loss_G: 0.017135 Loss_D_real: -0.021521 Loss_D_fake 0.002147
[958/5000][100/535][98708] Loss_D: -0.023502 Loss_G: -0.002974 Loss_D_real: -0.017034 Loss_D_fake 0.006468
[958/5000][105/535][98709] Loss_D: -0.022858 Loss_G: 0.006372 Loss_D_real: -0.021591 Loss_D_fake 0.001266
[958/5000][110/535][98710] Loss_D: -0.023077 Loss_G: 0.017382 Loss_D_real: -0.030290 Loss_D_fake -0.007213
[958/5000][115/535][98711] Loss_D: -0.022966 Loss_G: 0.004508 Loss_D_real: -0.011453 Loss_D_fake 0.011513
[958/5000][120/535][98712] Loss_D: -0.023523 Loss_G: 0.020732 Loss_D_real: -0.026517 Loss_D_fake -0.002994
[958/5000][125/535][98713] Loss_D: -0.024053 Loss_G: 0.009033 Loss_D_real: -0.012217 Loss_D_fake 0.011836
[958/5000][130/535][98714] Loss_D: -0.023517 Loss_G: 0.007465 Loss_D_real: -0.030434 Loss_D_fake -0.006917
[958/5000][135/535][98715] Loss_D: -0.024957 Loss_G: 0.010089 Loss_D_real: -0.023217 Loss_D_fake 0.001740
[958/5000][140/535][98716] Loss_D: -0.023525 Loss_G: 0.004110 Loss_D_real: -0.016554 Loss_D_fake 0.006971
[958/5000][145/535][98717] Loss_D: -0.022407 Loss_G: 0.026459 Loss_D_real: -0.031474 Loss_D_fake -0.009067
[958/5000][150/535][98718] Loss_D: -0.022332 Loss_G: 0.000361 Loss_D_real: -0.002188 Loss_D_fake 0.020145
[958/5000][155/535][98719] Loss_D: -0.021877 Loss_G: -0.002637 Loss_D_real: -0.006357 Loss_D_fake 0.015520
[958/5000][160/535][98720] Loss_D: -0.023706 Loss_G: -0.006554 Loss_D_real: -0.011839 Loss_D_fake 0.011868
[958/5000][165/535][98721] Loss_D: -0.022249 Loss_G: 0.019726 Loss_D_real: -0.030078 Loss_D_fake -0.007829
[958/5000][170/535][98722] Loss_D: -0.023470 Loss_G: 0.012614 Loss_D_real: -0.032855 Loss_D_fake -0.009386
[958/5000][175/535][98723] Loss_D: -0.022326 Loss_G: 0.008470 Loss_D_real: -0.014298 Loss_D_fake 0.008028
[958/5000][180/535][98724] Loss_D: -0.020180 Loss_G: 0.028795 Loss_D_real: -0.038959 Loss_D_fake -0.018779
[958/5000][185/535][98725] Loss_D: -0.022149 Loss_G: 0.011814 Loss_D_real: -0.033096 Loss_D_fake -0.010947
[958/5000][190/535][98726] Loss_D: -0.022945 Loss_G: 0.020038 Loss_D_real: -0.032515 Loss_D_fake -0.009571
[958/5000][195/535][98727] Loss_D: -0.021701 Loss_G: -0.010953 Loss_D_real: -0.010534 Loss_D_fake 0.011167
[958/5000][200/535][98728] Loss_D: -0.022509 Loss_G: 0.009485 Loss_D_real: -0.010771 Loss_D_fake 0.011737
[958/5000][205/535][98729] Loss_D: -0.021647 Loss_G: -0.007327 Loss_D_real: -0.012298 Loss_D_fake 0.009349
[958/5000][210/535][98730] Loss_D: -0.022991 Loss_G: 0.020211 Loss_D_real: -0.023773 Loss_D_fake -0.000782
[958/5000][215/535][98731] Loss_D: -0.023179 Loss_G: -0.004927 Loss_D_real: -0.011563 Loss_D_fake 0.011616
[958/5000][220/535][98732] Loss_D: -0.024291 Loss_G: 0.000314 Loss_D_real: -0.021993 Loss_D_fake 0.002298
[958/5000][225/535][98733] Loss_D: -0.023120 Loss_G: 0.005070 Loss_D_real: -0.015857 Loss_D_fake 0.007262
[958/5000][230/535][98734] Loss_D: -0.022295 Loss_G: 0.003501 Loss_D_real: -0.013237 Loss_D_fake 0.009058
[958/5000][235/535][98735] Loss_D: -0.022185 Loss_G: 0.009375 Loss_D_real: -0.013511 Loss_D_fake 0.008674
[958/5000][240/535][98736] Loss_D: -0.022343 Loss_G: 0.010834 Loss_D_real: -0.027076 Loss_D_fake -0.004733
[958/5000][245/535][98737] Loss_D: -0.023125 Loss_G: 0.007083 Loss_D_real: -0.020391 Loss_D_fake 0.002733
[958/5000][250/535][98738] Loss_D: -0.022419 Loss_G: 0.002690 Loss_D_real: -0.019631 Loss_D_fake 0.002788
[958/5000][255/535][98739] Loss_D: -0.021980 Loss_G: 0.013452 Loss_D_real: -0.026284 Loss_D_fake -0.004304
[958/5000][260/535][98740] Loss_D: -0.022972 Loss_G: 0.012495 Loss_D_real: -0.028749 Loss_D_fake -0.005777
[958/5000][265/535][98741] Loss_D: -0.022164 Loss_G: 0.014472 Loss_D_real: -0.027363 Loss_D_fake -0.005199
[958/5000][270/535][98742] Loss_D: -0.023440 Loss_G: 0.018297 Loss_D_real: -0.028076 Loss_D_fake -0.004636
[958/5000][275/535][98743] Loss_D: -0.022333 Loss_G: -0.007890 Loss_D_real: -0.015203 Loss_D_fake 0.007129
[958/5000][280/535][98744] Loss_D: -0.021710 Loss_G: 0.003615 Loss_D_real: -0.025581 Loss_D_fake -0.003871
[958/5000][285/535][98745] Loss_D: -0.021768 Loss_G: 0.001454 Loss_D_real: -0.017381 Loss_D_fake 0.004386
[958/5000][290/535][98746] Loss_D: -0.023639 Loss_G: 0.017448 Loss_D_real: -0.021986 Loss_D_fake 0.001653
[958/5000][295/535][98747] Loss_D: -0.023539 Loss_G: 0.003326 Loss_D_real: -0.020873 Loss_D_fake 0.002665
[958/5000][300/535][98748] Loss_D: -0.022259 Loss_G: 0.013521 Loss_D_real: -0.029444 Loss_D_fake -0.007185
[958/5000][305/535][98749] Loss_D: -0.022632 Loss_G: 0.004732 Loss_D_real: -0.011169 Loss_D_fake 0.011462
[958/5000][310/535][98750] Loss_D: -0.021894 Loss_G: 0.023224 Loss_D_real: -0.031326 Loss_D_fake -0.009432
[958/5000][315/535][98751] Loss_D: -0.023349 Loss_G: -0.002252 Loss_D_real: -0.009423 Loss_D_fake 0.013926
[958/5000][320/535][98752] Loss_D: -0.022369 Loss_G: 0.011351 Loss_D_real: -0.021916 Loss_D_fake 0.000453
[958/5000][325/535][98753] Loss_D: -0.022806 Loss_G: 0.010090 Loss_D_real: -0.021644 Loss_D_fake 0.001162
[958/5000][330/535][98754] Loss_D: -0.023408 Loss_G: 0.013184 Loss_D_real: -0.027605 Loss_D_fake -0.004198
[958/5000][335/535][98755] Loss_D: -0.022738 Loss_G: 0.020174 Loss_D_real: -0.026858 Loss_D_fake -0.004119
[958/5000][340/535][98756] Loss_D: -0.022227 Loss_G: 0.005851 Loss_D_real: -0.022471 Loss_D_fake -0.000245
[958/5000][345/535][98757] Loss_D: -0.022945 Loss_G: -0.003754 Loss_D_real: -0.012724 Loss_D_fake 0.010220
[958/5000][350/535][98758] Loss_D: -0.023519 Loss_G: 0.006885 Loss_D_real: -0.025465 Loss_D_fake -0.001946
[958/5000][355/535][98759] Loss_D: -0.021434 Loss_G: -0.008329 Loss_D_real: -0.006693 Loss_D_fake 0.014740
[958/5000][360/535][98760] Loss_D: -0.022363 Loss_G: 0.026734 Loss_D_real: -0.030330 Loss_D_fake -0.007967
[958/5000][365/535][98761] Loss_D: -0.022187 Loss_G: 0.002163 Loss_D_real: -0.010989 Loss_D_fake 0.011198
[958/5000][370/535][98762] Loss_D: -0.021581 Loss_G: 0.011459 Loss_D_real: -0.015922 Loss_D_fake 0.005659
[958/5000][375/535][98763] Loss_D: -0.022892 Loss_G: 0.014225 Loss_D_real: -0.023825 Loss_D_fake -0.000933
[958/5000][380/535][98764] Loss_D: -0.021598 Loss_G: 0.027731 Loss_D_real: -0.040766 Loss_D_fake -0.019168
[958/5000][385/535][98765] Loss_D: -0.023350 Loss_G: 0.013661 Loss_D_real: -0.024243 Loss_D_fake -0.000893
[958/5000][390/535][98766] Loss_D: -0.023654 Loss_G: -0.004644 Loss_D_real: -0.014959 Loss_D_fake 0.008696
[958/5000][395/535][98767] Loss_D: -0.023362 Loss_G: -0.000507 Loss_D_real: -0.023305 Loss_D_fake 0.000057
[958/5000][400/535][98768] Loss_D: -0.022143 Loss_G: 0.022819 Loss_D_real: -0.038641 Loss_D_fake -0.016498
[958/5000][405/535][98769] Loss_D: -0.023528 Loss_G: 0.008616 Loss_D_real: -0.019558 Loss_D_fake 0.003969
[958/5000][410/535][98770] Loss_D: -0.022580 Loss_G: 0.011919 Loss_D_real: -0.026880 Loss_D_fake -0.004300
[958/5000][415/535][98771] Loss_D: -0.023290 Loss_G: 0.006289 Loss_D_real: -0.022609 Loss_D_fake 0.000681
[958/5000][420/535][98772] Loss_D: -0.023223 Loss_G: 0.019507 Loss_D_real: -0.021202 Loss_D_fake 0.002021
[958/5000][425/535][98773] Loss_D: -0.022708 Loss_G: 0.015196 Loss_D_real: -0.026292 Loss_D_fake -0.003583
[958/5000][430/535][98774] Loss_D: -0.022762 Loss_G: 0.002447 Loss_D_real: -0.009350 Loss_D_fake 0.013412
[958/5000][435/535][98775] Loss_D: -0.022295 Loss_G: 0.005108 Loss_D_real: -0.018268 Loss_D_fake 0.004027
[958/5000][440/535][98776] Loss_D: -0.023126 Loss_G: 0.006577 Loss_D_real: -0.019925 Loss_D_fake 0.003201
[958/5000][445/535][98777] Loss_D: -0.022810 Loss_G: 0.012268 Loss_D_real: -0.031379 Loss_D_fake -0.008569
[958/5000][450/535][98778] Loss_D: -0.023419 Loss_G: 0.008276 Loss_D_real: -0.019997 Loss_D_fake 0.003422
[958/5000][455/535][98779] Loss_D: -0.021592 Loss_G: 0.025452 Loss_D_real: -0.033178 Loss_D_fake -0.011585
[958/5000][460/535][98780] Loss_D: -0.021786 Loss_G: 0.002115 Loss_D_real: -0.018776 Loss_D_fake 0.003010
[958/5000][465/535][98781] Loss_D: -0.023717 Loss_G: 0.012243 Loss_D_real: -0.025427 Loss_D_fake -0.001710
[958/5000][470/535][98782] Loss_D: -0.023352 Loss_G: 0.012106 Loss_D_real: -0.030670 Loss_D_fake -0.007317
[958/5000][475/535][98783] Loss_D: -0.022550 Loss_G: -0.004215 Loss_D_real: -0.013912 Loss_D_fake 0.008639
[958/5000][480/535][98784] Loss_D: -0.022840 Loss_G: 0.023937 Loss_D_real: -0.032644 Loss_D_fake -0.009804
[958/5000][485/535][98785] Loss_D: -0.022407 Loss_G: 0.016720 Loss_D_real: -0.014949 Loss_D_fake 0.007458
[958/5000][490/535][98786] Loss_D: -0.022518 Loss_G: 0.022551 Loss_D_real: -0.022412 Loss_D_fake 0.000106
[958/5000][495/535][98787] Loss_D: -0.023341 Loss_G: 0.014180 Loss_D_real: -0.027045 Loss_D_fake -0.003704
[958/5000][500/535][98788] Loss_D: -0.022272 Loss_G: 0.018787 Loss_D_real: -0.035908 Loss_D_fake -0.013636
[958/5000][505/535][98789] Loss_D: -0.023213 Loss_G: 0.003470 Loss_D_real: -0.016127 Loss_D_fake 0.007087
[958/5000][510/535][98790] Loss_D: -0.022003 Loss_G: 0.014003 Loss_D_real: -0.027300 Loss_D_fake -0.005296
[958/5000][515/535][98791] Loss_D: -0.022270 Loss_G: 0.001156 Loss_D_real: -0.020473 Loss_D_fake 0.001797
[958/5000][520/535][98792] Loss_D: -0.023638 Loss_G: 0.015907 Loss_D_real: -0.026205 Loss_D_fake -0.002567
[958/5000][525/535][98793] Loss_D: -0.023036 Loss_G: 0.010793 Loss_D_real: -0.023295 Loss_D_fake -0.000259
[958/5000][530/535][98794] Loss_D: -0.023915 Loss_G: 0.006660 Loss_D_real: -0.030401 Loss_D_fake -0.006486
[958/5000][535/535][98795] Loss_D: -0.021367 Loss_G: -0.004900 Loss_D_real: -0.016676 Loss_D_fake 0.004691
[959/5000][5/535][98796] Loss_D: -0.022351 Loss_G: -0.004484 Loss_D_real: -0.006893 Loss_D_fake 0.015458
[959/5000][10/535][98797] Loss_D: -0.022382 Loss_G: 0.006196 Loss_D_real: -0.017131 Loss_D_fake 0.005252
[959/5000][15/535][98798] Loss_D: -0.023307 Loss_G: 0.006727 Loss_D_real: -0.010396 Loss_D_fake 0.012911
[959/5000][20/535][98799] Loss_D: -0.022393 Loss_G: 0.028621 Loss_D_real: -0.030088 Loss_D_fake -0.007696
[959/5000][25/535][98800] Loss_D: -0.022640 Loss_G: 0.005611 Loss_D_real: -0.014106 Loss_D_fake 0.008534
[959/5000][30/535][98801] Loss_D: -0.022197 Loss_G: -0.003695 Loss_D_real: -0.020119 Loss_D_fake 0.002078
[959/5000][35/535][98802] Loss_D: -0.021858 Loss_G: 0.004989 Loss_D_real: -0.025370 Loss_D_fake -0.003511
[959/5000][40/535][98803] Loss_D: -0.023001 Loss_G: 0.014817 Loss_D_real: -0.016894 Loss_D_fake 0.006106
[959/5000][45/535][98804] Loss_D: -0.023873 Loss_G: 0.013957 Loss_D_real: -0.021831 Loss_D_fake 0.002042
[959/5000][50/535][98805] Loss_D: -0.023172 Loss_G: -0.003727 Loss_D_real: -0.008315 Loss_D_fake 0.014856
[959/5000][55/535][98806] Loss_D: -0.020891 Loss_G: 0.015718 Loss_D_real: -0.017085 Loss_D_fake 0.003805
[959/5000][60/535][98807] Loss_D: -0.021506 Loss_G: -0.003483 Loss_D_real: -0.015907 Loss_D_fake 0.005599
[959/5000][65/535][98808] Loss_D: -0.023141 Loss_G: -0.011377 Loss_D_real: -0.005948 Loss_D_fake 0.017193
[959/5000][70/535][98809] Loss_D: -0.023161 Loss_G: -0.012075 Loss_D_real: -0.008813 Loss_D_fake 0.014348
[959/5000][75/535][98810] Loss_D: -0.021591 Loss_G: 0.009158 Loss_D_real: -0.031794 Loss_D_fake -0.010203
[959/5000][80/535][98811] Loss_D: -0.022088 Loss_G: -0.006568 Loss_D_real: -0.007578 Loss_D_fake 0.014510
[959/5000][85/535][98812] Loss_D: -0.022177 Loss_G: 0.008950 Loss_D_real: -0.007664 Loss_D_fake 0.014513
[959/5000][90/535][98813] Loss_D: -0.021270 Loss_G: -0.009225 Loss_D_real: -0.008229 Loss_D_fake 0.013042
[959/5000][95/535][98814] Loss_D: -0.022789 Loss_G: -0.004022 Loss_D_real: -0.006319 Loss_D_fake 0.016470
[959/5000][100/535][98815] Loss_D: -0.022795 Loss_G: 0.006504 Loss_D_real: -0.025273 Loss_D_fake -0.002477
[959/5000][105/535][98816] Loss_D: -0.023863 Loss_G: 0.001369 Loss_D_real: -0.001488 Loss_D_fake 0.022375
[959/5000][110/535][98817] Loss_D: -0.024311 Loss_G: 0.020018 Loss_D_real: -0.018451 Loss_D_fake 0.005860
[959/5000][115/535][98818] Loss_D: -0.023266 Loss_G: -0.011089 Loss_D_real: -0.007859 Loss_D_fake 0.015407
[959/5000][120/535][98819] Loss_D: -0.022669 Loss_G: 0.025568 Loss_D_real: -0.037322 Loss_D_fake -0.014653
[959/5000][125/535][98820] Loss_D: -0.021429 Loss_G: -0.007946 Loss_D_real: -0.003332 Loss_D_fake 0.018098
[959/5000][130/535][98821] Loss_D: -0.021510 Loss_G: -0.005208 Loss_D_real: -0.013176 Loss_D_fake 0.008334
[959/5000][135/535][98822] Loss_D: -0.021982 Loss_G: 0.003258 Loss_D_real: -0.023314 Loss_D_fake -0.001332
[959/5000][140/535][98823] Loss_D: -0.022291 Loss_G: 0.017124 Loss_D_real: -0.035850 Loss_D_fake -0.013558
[959/5000][145/535][98824] Loss_D: -0.021110 Loss_G: 0.025170 Loss_D_real: -0.035313 Loss_D_fake -0.014202
[959/5000][150/535][98825] Loss_D: -0.023394 Loss_G: -0.001880 Loss_D_real: -0.008469 Loss_D_fake 0.014925
[959/5000][155/535][98826] Loss_D: -0.023297 Loss_G: 0.005086 Loss_D_real: -0.021624 Loss_D_fake 0.001673
[959/5000][160/535][98827] Loss_D: -0.021636 Loss_G: 0.000205 Loss_D_real: -0.006579 Loss_D_fake 0.015057
[959/5000][165/535][98828] Loss_D: -0.022983 Loss_G: 0.002946 Loss_D_real: -0.023359 Loss_D_fake -0.000376
[959/5000][170/535][98829] Loss_D: -0.022167 Loss_G: 0.002947 Loss_D_real: -0.012777 Loss_D_fake 0.009391
[959/5000][175/535][98830] Loss_D: -0.022558 Loss_G: -0.000706 Loss_D_real: -0.012941 Loss_D_fake 0.009617
[959/5000][180/535][98831] Loss_D: -0.022707 Loss_G: -0.000717 Loss_D_real: -0.006283 Loss_D_fake 0.016424
[959/5000][185/535][98832] Loss_D: -0.022681 Loss_G: 0.011110 Loss_D_real: -0.015544 Loss_D_fake 0.007137
[959/5000][190/535][98833] Loss_D: -0.022152 Loss_G: 0.018606 Loss_D_real: -0.029083 Loss_D_fake -0.006931
[959/5000][195/535][98834] Loss_D: -0.023106 Loss_G: 0.007434 Loss_D_real: -0.020715 Loss_D_fake 0.002392
[959/5000][200/535][98835] Loss_D: -0.023262 Loss_G: 0.011499 Loss_D_real: -0.025345 Loss_D_fake -0.002083
[959/5000][205/535][98836] Loss_D: -0.023459 Loss_G: -0.004712 Loss_D_real: -0.014285 Loss_D_fake 0.009174
[959/5000][210/535][98837] Loss_D: -0.021764 Loss_G: 0.011073 Loss_D_real: -0.020459 Loss_D_fake 0.001306
[959/5000][215/535][98838] Loss_D: -0.022757 Loss_G: 0.011223 Loss_D_real: -0.016572 Loss_D_fake 0.006185
[959/5000][220/535][98839] Loss_D: -0.023175 Loss_G: 0.000484 Loss_D_real: -0.018087 Loss_D_fake 0.005088
[959/5000][225/535][98840] Loss_D: -0.021717 Loss_G: 0.000356 Loss_D_real: -0.016176 Loss_D_fake 0.005541
[959/5000][230/535][98841] Loss_D: -0.021341 Loss_G: -0.005281 Loss_D_real: -0.022247 Loss_D_fake -0.000906
[959/5000][235/535][98842] Loss_D: -0.022481 Loss_G: 0.020827 Loss_D_real: -0.019348 Loss_D_fake 0.003133
[959/5000][240/535][98843] Loss_D: -0.021704 Loss_G: 0.009125 Loss_D_real: -0.015849 Loss_D_fake 0.005855
[959/5000][245/535][98844] Loss_D: -0.021516 Loss_G: -0.003525 Loss_D_real: -0.005220 Loss_D_fake 0.016296
[959/5000][250/535][98845] Loss_D: -0.022702 Loss_G: 0.014589 Loss_D_real: -0.036947 Loss_D_fake -0.014244
[959/5000][255/535][98846] Loss_D: -0.022884 Loss_G: -0.000033 Loss_D_real: -0.014957 Loss_D_fake 0.007927
[959/5000][260/535][98847] Loss_D: -0.024493 Loss_G: -0.000665 Loss_D_real: -0.015603 Loss_D_fake 0.008891
[959/5000][265/535][98848] Loss_D: -0.022844 Loss_G: 0.019075 Loss_D_real: -0.015476 Loss_D_fake 0.007368
[959/5000][270/535][98849] Loss_D: -0.022320 Loss_G: 0.013635 Loss_D_real: -0.016353 Loss_D_fake 0.005967
[959/5000][275/535][98850] Loss_D: -0.022251 Loss_G: -0.003201 Loss_D_real: -0.020774 Loss_D_fake 0.001478
[959/5000][280/535][98851] Loss_D: -0.022449 Loss_G: 0.014105 Loss_D_real: -0.025238 Loss_D_fake -0.002789
[959/5000][285/535][98852] Loss_D: -0.023624 Loss_G: 0.001971 Loss_D_real: -0.020149 Loss_D_fake 0.003475
[959/5000][290/535][98853] Loss_D: -0.022098 Loss_G: -0.012540 Loss_D_real: -0.003958 Loss_D_fake 0.018141
[959/5000][295/535][98854] Loss_D: -0.022528 Loss_G: 0.013365 Loss_D_real: -0.028508 Loss_D_fake -0.005981
[959/5000][300/535][98855] Loss_D: -0.022318 Loss_G: -0.010418 Loss_D_real: -0.007025 Loss_D_fake 0.015293
[959/5000][305/535][98856] Loss_D: -0.023168 Loss_G: 0.021416 Loss_D_real: -0.023713 Loss_D_fake -0.000545
[959/5000][310/535][98857] Loss_D: -0.023392 Loss_G: 0.002955 Loss_D_real: -0.016966 Loss_D_fake 0.006425
[959/5000][315/535][98858] Loss_D: -0.022632 Loss_G: 0.019008 Loss_D_real: -0.023628 Loss_D_fake -0.000997
[959/5000][320/535][98859] Loss_D: -0.022051 Loss_G: 0.000008 Loss_D_real: -0.011386 Loss_D_fake 0.010665
[959/5000][325/535][98860] Loss_D: -0.022303 Loss_G: 0.006148 Loss_D_real: -0.035005 Loss_D_fake -0.012702
[959/5000][330/535][98861] Loss_D: -0.021941 Loss_G: 0.002076 Loss_D_real: -0.011725 Loss_D_fake 0.010216
[959/5000][335/535][98862] Loss_D: -0.022024 Loss_G: 0.014669 Loss_D_real: -0.028773 Loss_D_fake -0.006749
[959/5000][340/535][98863] Loss_D: -0.021782 Loss_G: -0.010026 Loss_D_real: -0.003890 Loss_D_fake 0.017891
[959/5000][345/535][98864] Loss_D: -0.022263 Loss_G: 0.006968 Loss_D_real: -0.029406 Loss_D_fake -0.007143
[959/5000][350/535][98865] Loss_D: -0.022530 Loss_G: -0.007147 Loss_D_real: 0.002076 Loss_D_fake 0.024606
[959/5000][355/535][98866] Loss_D: -0.021958 Loss_G: -0.004403 Loss_D_real: -0.015883 Loss_D_fake 0.006075
[959/5000][360/535][98867] Loss_D: -0.024138 Loss_G: 0.017819 Loss_D_real: -0.026990 Loss_D_fake -0.002852
[959/5000][365/535][98868] Loss_D: -0.023862 Loss_G: 0.019161 Loss_D_real: -0.028494 Loss_D_fake -0.004632
[959/5000][370/535][98869] Loss_D: -0.023600 Loss_G: 0.003464 Loss_D_real: -0.009188 Loss_D_fake 0.014412
[959/5000][375/535][98870] Loss_D: -0.023180 Loss_G: 0.008335 Loss_D_real: -0.017525 Loss_D_fake 0.005654
[959/5000][380/535][98871] Loss_D: -0.022831 Loss_G: -0.007956 Loss_D_real: -0.021886 Loss_D_fake 0.000944
[959/5000][385/535][98872] Loss_D: -0.024279 Loss_G: 0.025276 Loss_D_real: -0.030150 Loss_D_fake -0.005872
[959/5000][390/535][98873] Loss_D: -0.022320 Loss_G: 0.016738 Loss_D_real: -0.025963 Loss_D_fake -0.003643
[959/5000][395/535][98874] Loss_D: -0.022017 Loss_G: 0.009258 Loss_D_real: -0.008740 Loss_D_fake 0.013277
[959/5000][400/535][98875] Loss_D: -0.024605 Loss_G: 0.011017 Loss_D_real: -0.020807 Loss_D_fake 0.003798
[959/5000][405/535][98876] Loss_D: -0.022349 Loss_G: 0.030888 Loss_D_real: -0.036973 Loss_D_fake -0.014624
[959/5000][410/535][98877] Loss_D: -0.023446 Loss_G: 0.013151 Loss_D_real: -0.021454 Loss_D_fake 0.001992
[959/5000][415/535][98878] Loss_D: -0.022693 Loss_G: 0.001903 Loss_D_real: -0.016427 Loss_D_fake 0.006265
[959/5000][420/535][98879] Loss_D: -0.023048 Loss_G: 0.000288 Loss_D_real: -0.021725 Loss_D_fake 0.001323
[959/5000][425/535][98880] Loss_D: -0.022378 Loss_G: -0.007728 Loss_D_real: -0.003459 Loss_D_fake 0.018919
[959/5000][430/535][98881] Loss_D: -0.021800 Loss_G: 0.018271 Loss_D_real: -0.021798 Loss_D_fake 0.000002
[959/5000][435/535][98882] Loss_D: -0.022019 Loss_G: 0.015082 Loss_D_real: -0.022863 Loss_D_fake -0.000844
[959/5000][440/535][98883] Loss_D: -0.022260 Loss_G: 0.007342 Loss_D_real: -0.022608 Loss_D_fake -0.000348
[959/5000][445/535][98884] Loss_D: -0.023465 Loss_G: 0.019210 Loss_D_real: -0.016098 Loss_D_fake 0.007367
[959/5000][450/535][98885] Loss_D: -0.023039 Loss_G: -0.000943 Loss_D_real: -0.005740 Loss_D_fake 0.017299
[959/5000][455/535][98886] Loss_D: -0.021728 Loss_G: -0.013815 Loss_D_real: -0.010024 Loss_D_fake 0.011704
[959/5000][460/535][98887] Loss_D: -0.022282 Loss_G: 0.008263 Loss_D_real: -0.011484 Loss_D_fake 0.010798
[959/5000][465/535][98888] Loss_D: -0.023080 Loss_G: 0.013605 Loss_D_real: -0.024728 Loss_D_fake -0.001648
[959/5000][470/535][98889] Loss_D: -0.023029 Loss_G: 0.008346 Loss_D_real: -0.026720 Loss_D_fake -0.003691
[959/5000][475/535][98890] Loss_D: -0.022223 Loss_G: 0.016996 Loss_D_real: -0.037750 Loss_D_fake -0.015526
[959/5000][480/535][98891] Loss_D: -0.022380 Loss_G: -0.007907 Loss_D_real: -0.011722 Loss_D_fake 0.010658
[959/5000][485/535][98892] Loss_D: -0.021034 Loss_G: 0.019950 Loss_D_real: -0.033820 Loss_D_fake -0.012786
[959/5000][490/535][98893] Loss_D: -0.022067 Loss_G: 0.027617 Loss_D_real: -0.027800 Loss_D_fake -0.005733
[959/5000][495/535][98894] Loss_D: -0.023283 Loss_G: 0.000243 Loss_D_real: -0.019259 Loss_D_fake 0.004024
[959/5000][500/535][98895] Loss_D: -0.023498 Loss_G: 0.014418 Loss_D_real: -0.016303 Loss_D_fake 0.007195
[959/5000][505/535][98896] Loss_D: -0.021992 Loss_G: 0.012977 Loss_D_real: -0.016290 Loss_D_fake 0.005702
[959/5000][510/535][98897] Loss_D: -0.022290 Loss_G: 0.021917 Loss_D_real: -0.029093 Loss_D_fake -0.006803
[959/5000][515/535][98898] Loss_D: -0.022461 Loss_G: 0.002355 Loss_D_real: -0.014745 Loss_D_fake 0.007716
[959/5000][520/535][98899] Loss_D: -0.022227 Loss_G: 0.010509 Loss_D_real: -0.024509 Loss_D_fake -0.002282
[959/5000][525/535][98900] Loss_D: -0.023419 Loss_G: 0.011184 Loss_D_real: -0.020975 Loss_D_fake 0.002443
[959/5000][530/535][98901] Loss_D: -0.021131 Loss_G: 0.009318 Loss_D_real: -0.028343 Loss_D_fake -0.007212
[959/5000][535/535][98902] Loss_D: -0.017889 Loss_G: -0.005569 Loss_D_real: -0.021989 Loss_D_fake -0.004100
[960/5000][5/535][98903] Loss_D: -0.023103 Loss_G: -0.004577 Loss_D_real: -0.011844 Loss_D_fake 0.011259
[960/5000][10/535][98904] Loss_D: -0.021053 Loss_G: 0.017329 Loss_D_real: -0.026963 Loss_D_fake -0.005911
[960/5000][15/535][98905] Loss_D: -0.022781 Loss_G: -0.009159 Loss_D_real: -0.007414 Loss_D_fake 0.015367
[960/5000][20/535][98906] Loss_D: -0.022332 Loss_G: 0.002642 Loss_D_real: -0.021773 Loss_D_fake 0.000559
[960/5000][25/535][98907] Loss_D: -0.023920 Loss_G: -0.006351 Loss_D_real: -0.006017 Loss_D_fake 0.017903
[960/5000][30/535][98908] Loss_D: -0.021851 Loss_G: 0.002245 Loss_D_real: -0.017043 Loss_D_fake 0.004807
[960/5000][35/535][98909] Loss_D: -0.022950 Loss_G: 0.002799 Loss_D_real: -0.006928 Loss_D_fake 0.016022
[960/5000][40/535][98910] Loss_D: -0.021692 Loss_G: -0.005441 Loss_D_real: -0.006564 Loss_D_fake 0.015128
[960/5000][45/535][98911] Loss_D: -0.023089 Loss_G: -0.009304 Loss_D_real: -0.007440 Loss_D_fake 0.015649
[960/5000][50/535][98912] Loss_D: -0.022103 Loss_G: 0.005880 Loss_D_real: -0.018027 Loss_D_fake 0.004076
[960/5000][55/535][98913] Loss_D: -0.022260 Loss_G: -0.009235 Loss_D_real: -0.015095 Loss_D_fake 0.007165
[960/5000][60/535][98914] Loss_D: -0.021581 Loss_G: 0.001295 Loss_D_real: -0.008663 Loss_D_fake 0.012918
[960/5000][65/535][98915] Loss_D: -0.022522 Loss_G: 0.007109 Loss_D_real: -0.001871 Loss_D_fake 0.020652
[960/5000][70/535][98916] Loss_D: -0.022061 Loss_G: -0.009779 Loss_D_real: -0.008152 Loss_D_fake 0.013909
[960/5000][75/535][98917] Loss_D: -0.022500 Loss_G: 0.011844 Loss_D_real: -0.032898 Loss_D_fake -0.010398
[960/5000][80/535][98918] Loss_D: -0.023752 Loss_G: 0.016083 Loss_D_real: -0.021617 Loss_D_fake 0.002135
[960/5000][85/535][98919] Loss_D: -0.022824 Loss_G: 0.014565 Loss_D_real: -0.026729 Loss_D_fake -0.003904
[960/5000][90/535][98920] Loss_D: -0.022743 Loss_G: -0.009079 Loss_D_real: -0.008994 Loss_D_fake 0.013749
[960/5000][95/535][98921] Loss_D: -0.021577 Loss_G: 0.017387 Loss_D_real: -0.029418 Loss_D_fake -0.007841
[960/5000][100/535][98922] Loss_D: -0.022956 Loss_G: 0.024234 Loss_D_real: -0.016321 Loss_D_fake 0.006635
[960/5000][105/535][98923] Loss_D: -0.021849 Loss_G: 0.004735 Loss_D_real: -0.024331 Loss_D_fake -0.002482
[960/5000][110/535][98924] Loss_D: -0.021830 Loss_G: 0.009090 Loss_D_real: -0.019352 Loss_D_fake 0.002479
[960/5000][115/535][98925] Loss_D: -0.024014 Loss_G: 0.000015 Loss_D_real: -0.019911 Loss_D_fake 0.004103
[960/5000][120/535][98926] Loss_D: -0.022308 Loss_G: 0.018466 Loss_D_real: -0.025039 Loss_D_fake -0.002731
[960/5000][125/535][98927] Loss_D: -0.023111 Loss_G: -0.006026 Loss_D_real: -0.010318 Loss_D_fake 0.012793
[960/5000][130/535][98928] Loss_D: -0.022732 Loss_G: 0.026685 Loss_D_real: -0.031532 Loss_D_fake -0.008800
[960/5000][135/535][98929] Loss_D: -0.023221 Loss_G: -0.005691 Loss_D_real: -0.018991 Loss_D_fake 0.004230
[960/5000][140/535][98930] Loss_D: -0.022885 Loss_G: 0.010365 Loss_D_real: -0.020325 Loss_D_fake 0.002560
[960/5000][145/535][98931] Loss_D: -0.022394 Loss_G: 0.016354 Loss_D_real: -0.038902 Loss_D_fake -0.016508
[960/5000][150/535][98932] Loss_D: -0.022740 Loss_G: -0.005098 Loss_D_real: -0.016414 Loss_D_fake 0.006326
[960/5000][155/535][98933] Loss_D: -0.022550 Loss_G: 0.001853 Loss_D_real: -0.017561 Loss_D_fake 0.004989
[960/5000][160/535][98934] Loss_D: -0.023150 Loss_G: 0.000296 Loss_D_real: -0.012994 Loss_D_fake 0.010156
[960/5000][165/535][98935] Loss_D: -0.022298 Loss_G: 0.008931 Loss_D_real: -0.013897 Loss_D_fake 0.008401
[960/5000][170/535][98936] Loss_D: -0.022521 Loss_G: -0.005225 Loss_D_real: -0.007137 Loss_D_fake 0.015384
[960/5000][175/535][98937] Loss_D: -0.024510 Loss_G: 0.005391 Loss_D_real: -0.010389 Loss_D_fake 0.014121
[960/5000][180/535][98938] Loss_D: -0.023380 Loss_G: 0.013660 Loss_D_real: -0.021183 Loss_D_fake 0.002197
[960/5000][185/535][98939] Loss_D: -0.022742 Loss_G: 0.028353 Loss_D_real: -0.038706 Loss_D_fake -0.015964
[960/5000][190/535][98940] Loss_D: -0.023079 Loss_G: 0.007856 Loss_D_real: -0.024992 Loss_D_fake -0.001913
[960/5000][195/535][98941] Loss_D: -0.023374 Loss_G: -0.004078 Loss_D_real: -0.016620 Loss_D_fake 0.006754
[960/5000][200/535][98942] Loss_D: -0.022603 Loss_G: -0.001837 Loss_D_real: -0.019389 Loss_D_fake 0.003213
[960/5000][205/535][98943] Loss_D: -0.023967 Loss_G: 0.000222 Loss_D_real: -0.017397 Loss_D_fake 0.006570
[960/5000][210/535][98944] Loss_D: -0.023992 Loss_G: 0.000895 Loss_D_real: -0.016187 Loss_D_fake 0.007806
[960/5000][215/535][98945] Loss_D: -0.021817 Loss_G: -0.012031 Loss_D_real: -0.014239 Loss_D_fake 0.007578
[960/5000][220/535][98946] Loss_D: -0.022603 Loss_G: 0.025303 Loss_D_real: -0.028560 Loss_D_fake -0.005957
[960/5000][225/535][98947] Loss_D: -0.022163 Loss_G: -0.005285 Loss_D_real: -0.016476 Loss_D_fake 0.005686
[960/5000][230/535][98948] Loss_D: -0.021964 Loss_G: 0.020084 Loss_D_real: -0.027632 Loss_D_fake -0.005668
[960/5000][235/535][98949] Loss_D: -0.022222 Loss_G: -0.005347 Loss_D_real: -0.011317 Loss_D_fake 0.010904
[960/5000][240/535][98950] Loss_D: -0.022977 Loss_G: 0.017435 Loss_D_real: -0.023711 Loss_D_fake -0.000733
[960/5000][245/535][98951] Loss_D: -0.022781 Loss_G: -0.002699 Loss_D_real: -0.025720 Loss_D_fake -0.002939
[960/5000][250/535][98952] Loss_D: -0.022645 Loss_G: -0.002266 Loss_D_real: -0.012679 Loss_D_fake 0.009966
[960/5000][255/535][98953] Loss_D: -0.021091 Loss_G: -0.015877 Loss_D_real: -0.007831 Loss_D_fake 0.013260
[960/5000][260/535][98954] Loss_D: -0.020522 Loss_G: 0.008821 Loss_D_real: -0.031667 Loss_D_fake -0.011146
[960/5000][265/535][98955] Loss_D: -0.021810 Loss_G: 0.018367 Loss_D_real: -0.024253 Loss_D_fake -0.002444
[960/5000][270/535][98956] Loss_D: -0.020028 Loss_G: 0.027034 Loss_D_real: -0.037303 Loss_D_fake -0.017274
[960/5000][275/535][98957] Loss_D: -0.022957 Loss_G: 0.014868 Loss_D_real: -0.013330 Loss_D_fake 0.009627
[960/5000][280/535][98958] Loss_D: -0.023419 Loss_G: -0.008830 Loss_D_real: -0.012656 Loss_D_fake 0.010763
[960/5000][285/535][98959] Loss_D: -0.021831 Loss_G: 0.010936 Loss_D_real: -0.016667 Loss_D_fake 0.005164
[960/5000][290/535][98960] Loss_D: -0.023087 Loss_G: 0.012926 Loss_D_real: -0.014565 Loss_D_fake 0.008522
[960/5000][295/535][98961] Loss_D: -0.021991 Loss_G: 0.004069 Loss_D_real: -0.009008 Loss_D_fake 0.012983
[960/5000][300/535][98962] Loss_D: -0.023264 Loss_G: -0.006393 Loss_D_real: -0.010089 Loss_D_fake 0.013175
[960/5000][305/535][98963] Loss_D: -0.023190 Loss_G: 0.001619 Loss_D_real: -0.018091 Loss_D_fake 0.005098
[960/5000][310/535][98964] Loss_D: -0.021931 Loss_G: 0.005658 Loss_D_real: -0.016831 Loss_D_fake 0.005100
[960/5000][315/535][98965] Loss_D: -0.022751 Loss_G: 0.021350 Loss_D_real: -0.029083 Loss_D_fake -0.006332
[960/5000][320/535][98966] Loss_D: -0.022210 Loss_G: 0.007360 Loss_D_real: -0.015344 Loss_D_fake 0.006866
[960/5000][325/535][98967] Loss_D: -0.022845 Loss_G: 0.006512 Loss_D_real: -0.021450 Loss_D_fake 0.001395
[960/5000][330/535][98968] Loss_D: -0.022586 Loss_G: -0.016711 Loss_D_real: -0.013632 Loss_D_fake 0.008954
[960/5000][335/535][98969] Loss_D: -0.021856 Loss_G: 0.007069 Loss_D_real: -0.019880 Loss_D_fake 0.001976
[960/5000][340/535][98970] Loss_D: -0.022344 Loss_G: 0.017537 Loss_D_real: -0.028538 Loss_D_fake -0.006194
[960/5000][345/535][98971] Loss_D: -0.023509 Loss_G: 0.005043 Loss_D_real: -0.017336 Loss_D_fake 0.006173
[960/5000][350/535][98972] Loss_D: -0.020900 Loss_G: 0.025375 Loss_D_real: -0.032923 Loss_D_fake -0.012023
[960/5000][355/535][98973] Loss_D: -0.021267 Loss_G: -0.003125 Loss_D_real: -0.021039 Loss_D_fake 0.000227
[960/5000][360/535][98974] Loss_D: -0.022181 Loss_G: -0.003328 Loss_D_real: -0.011448 Loss_D_fake 0.010733
[960/5000][365/535][98975] Loss_D: -0.023175 Loss_G: 0.002821 Loss_D_real: -0.012952 Loss_D_fake 0.010222
[960/5000][370/535][98976] Loss_D: -0.022594 Loss_G: 0.013496 Loss_D_real: -0.020541 Loss_D_fake 0.002053
[960/5000][375/535][98977] Loss_D: -0.024178 Loss_G: 0.014064 Loss_D_real: -0.023840 Loss_D_fake 0.000338
[960/5000][380/535][98978] Loss_D: -0.022937 Loss_G: 0.015320 Loss_D_real: -0.026429 Loss_D_fake -0.003492
[960/5000][385/535][98979] Loss_D: -0.021941 Loss_G: 0.004001 Loss_D_real: -0.017245 Loss_D_fake 0.004696
[960/5000][390/535][98980] Loss_D: -0.022700 Loss_G: -0.008553 Loss_D_real: -0.005940 Loss_D_fake 0.016760
[960/5000][395/535][98981] Loss_D: -0.022179 Loss_G: -0.009225 Loss_D_real: -0.005295 Loss_D_fake 0.016884
[960/5000][400/535][98982] Loss_D: -0.022869 Loss_G: 0.018358 Loss_D_real: -0.032106 Loss_D_fake -0.009236
[960/5000][405/535][98983] Loss_D: -0.021709 Loss_G: 0.008220 Loss_D_real: -0.019176 Loss_D_fake 0.002533
[960/5000][410/535][98984] Loss_D: -0.023210 Loss_G: 0.022235 Loss_D_real: -0.016183 Loss_D_fake 0.007026
[960/5000][415/535][98985] Loss_D: -0.022764 Loss_G: 0.009885 Loss_D_real: -0.036137 Loss_D_fake -0.013373
[960/5000][420/535][98986] Loss_D: -0.023175 Loss_G: -0.001295 Loss_D_real: -0.006872 Loss_D_fake 0.016302
[960/5000][425/535][98987] Loss_D: -0.022374 Loss_G: 0.021427 Loss_D_real: -0.026096 Loss_D_fake -0.003723
[960/5000][430/535][98988] Loss_D: -0.022582 Loss_G: 0.009484 Loss_D_real: -0.030502 Loss_D_fake -0.007920
[960/5000][435/535][98989] Loss_D: -0.023154 Loss_G: 0.017380 Loss_D_real: -0.028754 Loss_D_fake -0.005601
[960/5000][440/535][98990] Loss_D: -0.022612 Loss_G: -0.006480 Loss_D_real: -0.010399 Loss_D_fake 0.012213
[960/5000][445/535][98991] Loss_D: -0.021933 Loss_G: 0.022547 Loss_D_real: -0.022558 Loss_D_fake -0.000626
[960/5000][450/535][98992] Loss_D: -0.021227 Loss_G: -0.012479 Loss_D_real: 0.003274 Loss_D_fake 0.024500
[960/5000][455/535][98993] Loss_D: -0.021829 Loss_G: 0.006383 Loss_D_real: -0.024253 Loss_D_fake -0.002424
[960/5000][460/535][98994] Loss_D: -0.022822 Loss_G: -0.000500 Loss_D_real: -0.008716 Loss_D_fake 0.014106
[960/5000][465/535][98995] Loss_D: -0.022866 Loss_G: 0.024627 Loss_D_real: -0.029155 Loss_D_fake -0.006289
[960/5000][470/535][98996] Loss_D: -0.022171 Loss_G: 0.012463 Loss_D_real: -0.021872 Loss_D_fake 0.000298
[960/5000][475/535][98997] Loss_D: -0.022761 Loss_G: 0.004498 Loss_D_real: -0.012500 Loss_D_fake 0.010261
[960/5000][480/535][98998] Loss_D: -0.022235 Loss_G: 0.015722 Loss_D_real: -0.032043 Loss_D_fake -0.009808
[960/5000][485/535][98999] Loss_D: -0.021993 Loss_G: 0.019689 Loss_D_real: -0.032648 Loss_D_fake -0.010655
[960/5000][490/535][99000] Loss_D: -0.023198 Loss_G: 0.018227 Loss_D_real: -0.023917 Loss_D_fake -0.000718
[960/5000][535/535][99001] Loss_D: -0.023641 Loss_G: -0.006629 Loss_D_real: -0.023190 Loss_D_fake 0.000451
[961/5000][5/535][99002] Loss_D: -0.022630 Loss_G: 0.023520 Loss_D_real: -0.040576 Loss_D_fake -0.017946
[961/5000][10/535][99003] Loss_D: -0.020607 Loss_G: 0.003689 Loss_D_real: -0.014920 Loss_D_fake 0.005687
[961/5000][15/535][99004] Loss_D: -0.022515 Loss_G: 0.007275 Loss_D_real: -0.006239 Loss_D_fake 0.016276
[961/5000][20/535][99005] Loss_D: -0.022789 Loss_G: 0.007668 Loss_D_real: -0.019559 Loss_D_fake 0.003231
[961/5000][25/535][99006] Loss_D: -0.022771 Loss_G: 0.005698 Loss_D_real: -0.018483 Loss_D_fake 0.004288
[961/5000][30/535][99007] Loss_D: -0.023911 Loss_G: 0.001791 Loss_D_real: -0.019528 Loss_D_fake 0.004384
[961/5000][35/535][99008] Loss_D: -0.023374 Loss_G: 0.001121 Loss_D_real: -0.016893 Loss_D_fake 0.006481
[961/5000][40/535][99009] Loss_D: -0.023310 Loss_G: 0.015978 Loss_D_real: -0.021441 Loss_D_fake 0.001869
[961/5000][45/535][99010] Loss_D: -0.022534 Loss_G: 0.004501 Loss_D_real: -0.005889 Loss_D_fake 0.016645
[961/5000][50/535][99011] Loss_D: -0.023250 Loss_G: -0.010716 Loss_D_real: -0.023953 Loss_D_fake -0.000703
[961/5000][55/535][99012] Loss_D: -0.021776 Loss_G: 0.023365 Loss_D_real: -0.022476 Loss_D_fake -0.000700
[961/5000][60/535][99013] Loss_D: -0.023721 Loss_G: 0.002837 Loss_D_real: -0.014318 Loss_D_fake 0.009402
[961/5000][65/535][99014] Loss_D: -0.022889 Loss_G: -0.004853 Loss_D_real: -0.011449 Loss_D_fake 0.011440
[961/5000][70/535][99015] Loss_D: -0.022107 Loss_G: 0.003783 Loss_D_real: -0.014698 Loss_D_fake 0.007409
[961/5000][75/535][99016] Loss_D: -0.020870 Loss_G: -0.003360 Loss_D_real: -0.016703 Loss_D_fake 0.004168
[961/5000][80/535][99017] Loss_D: -0.023033 Loss_G: 0.008009 Loss_D_real: -0.021776 Loss_D_fake 0.001257
[961/5000][85/535][99018] Loss_D: -0.022723 Loss_G: 0.017944 Loss_D_real: -0.022695 Loss_D_fake 0.000028
[961/5000][90/535][99019] Loss_D: -0.021952 Loss_G: -0.009725 Loss_D_real: -0.001947 Loss_D_fake 0.020005
[961/5000][95/535][99020] Loss_D: -0.021632 Loss_G: -0.008100 Loss_D_real: -0.012744 Loss_D_fake 0.008888
[961/5000][100/535][99021] Loss_D: -0.022609 Loss_G: 0.017337 Loss_D_real: -0.023360 Loss_D_fake -0.000751
[961/5000][105/535][99022] Loss_D: -0.023617 Loss_G: -0.009153 Loss_D_real: -0.025268 Loss_D_fake -0.001651
[961/5000][110/535][99023] Loss_D: -0.023813 Loss_G: 0.020015 Loss_D_real: -0.015637 Loss_D_fake 0.008176
[961/5000][115/535][99024] Loss_D: -0.023157 Loss_G: -0.003904 Loss_D_real: -0.010712 Loss_D_fake 0.012445
[961/5000][120/535][99025] Loss_D: -0.022327 Loss_G: 0.012840 Loss_D_real: -0.024747 Loss_D_fake -0.002420
[961/5000][125/535][99026] Loss_D: -0.022254 Loss_G: 0.005948 Loss_D_real: -0.013036 Loss_D_fake 0.009217
[961/5000][130/535][99027] Loss_D: -0.023778 Loss_G: 0.021396 Loss_D_real: -0.022427 Loss_D_fake 0.001351
[961/5000][135/535][99028] Loss_D: -0.024332 Loss_G: 0.006021 Loss_D_real: -0.026464 Loss_D_fake -0.002132
[961/5000][140/535][99029] Loss_D: -0.022378 Loss_G: 0.006283 Loss_D_real: -0.013034 Loss_D_fake 0.009343
[961/5000][145/535][99030] Loss_D: -0.020939 Loss_G: 0.029089 Loss_D_real: -0.034308 Loss_D_fake -0.013370
[961/5000][150/535][99031] Loss_D: -0.023210 Loss_G: -0.000379 Loss_D_real: -0.018495 Loss_D_fake 0.004715
[961/5000][155/535][99032] Loss_D: -0.023377 Loss_G: 0.017033 Loss_D_real: -0.020879 Loss_D_fake 0.002498
[961/5000][160/535][99033] Loss_D: -0.023495 Loss_G: 0.014571 Loss_D_real: -0.017450 Loss_D_fake 0.006045
[961/5000][165/535][99034] Loss_D: -0.022241 Loss_G: 0.013067 Loss_D_real: -0.021379 Loss_D_fake 0.000862
[961/5000][170/535][99035] Loss_D: -0.023070 Loss_G: 0.005404 Loss_D_real: -0.017078 Loss_D_fake 0.005992
[961/5000][175/535][99036] Loss_D: -0.022884 Loss_G: 0.020388 Loss_D_real: -0.030579 Loss_D_fake -0.007696
[961/5000][180/535][99037] Loss_D: -0.023365 Loss_G: 0.014340 Loss_D_real: -0.028983 Loss_D_fake -0.005618
[961/5000][185/535][99038] Loss_D: -0.022284 Loss_G: 0.015146 Loss_D_real: -0.026348 Loss_D_fake -0.004064
[961/5000][190/535][99039] Loss_D: -0.024674 Loss_G: 0.003191 Loss_D_real: -0.028536 Loss_D_fake -0.003863
[961/5000][195/535][99040] Loss_D: -0.023389 Loss_G: 0.009106 Loss_D_real: -0.034100 Loss_D_fake -0.010711
[961/5000][200/535][99041] Loss_D: -0.022664 Loss_G: 0.014936 Loss_D_real: -0.030990 Loss_D_fake -0.008326
[961/5000][205/535][99042] Loss_D: -0.023476 Loss_G: 0.004022 Loss_D_real: -0.024444 Loss_D_fake -0.000968
[961/5000][210/535][99043] Loss_D: -0.022917 Loss_G: -0.003326 Loss_D_real: -0.019018 Loss_D_fake 0.003900
[961/5000][215/535][99044] Loss_D: -0.021358 Loss_G: 0.005351 Loss_D_real: -0.011522 Loss_D_fake 0.009836
[961/5000][220/535][99045] Loss_D: -0.021384 Loss_G: -0.003682 Loss_D_real: -0.017579 Loss_D_fake 0.003805
[961/5000][225/535][99046] Loss_D: -0.020615 Loss_G: 0.022817 Loss_D_real: -0.030936 Loss_D_fake -0.010322
[961/5000][230/535][99047] Loss_D: -0.023055 Loss_G: -0.000388 Loss_D_real: -0.005607 Loss_D_fake 0.017448
[961/5000][235/535][99048] Loss_D: -0.021248 Loss_G: 0.001478 Loss_D_real: -0.023645 Loss_D_fake -0.002397
[961/5000][240/535][99049] Loss_D: -0.022531 Loss_G: 0.002365 Loss_D_real: -0.018057 Loss_D_fake 0.004474
[961/5000][245/535][99050] Loss_D: -0.023347 Loss_G: -0.007401 Loss_D_real: -0.020363 Loss_D_fake 0.002984
[961/5000][250/535][99051] Loss_D: -0.024069 Loss_G: 0.004495 Loss_D_real: -0.029622 Loss_D_fake -0.005552
[961/5000][255/535][99052] Loss_D: -0.023215 Loss_G: 0.014188 Loss_D_real: -0.020509 Loss_D_fake 0.002706
[961/5000][260/535][99053] Loss_D: -0.022082 Loss_G: 0.024308 Loss_D_real: -0.035911 Loss_D_fake -0.013828
[961/5000][265/535][99054] Loss_D: -0.021903 Loss_G: -0.007789 Loss_D_real: -0.009462 Loss_D_fake 0.012442
[961/5000][270/535][99055] Loss_D: -0.024327 Loss_G: 0.001146 Loss_D_real: -0.011233 Loss_D_fake 0.013093
[961/5000][275/535][99056] Loss_D: -0.023709 Loss_G: 0.005776 Loss_D_real: -0.011200 Loss_D_fake 0.012509
[961/5000][280/535][99057] Loss_D: -0.022736 Loss_G: 0.010049 Loss_D_real: -0.022724 Loss_D_fake 0.000012
[961/5000][285/535][99058] Loss_D: -0.022102 Loss_G: 0.025004 Loss_D_real: -0.028104 Loss_D_fake -0.006001
[961/5000][290/535][99059] Loss_D: -0.022314 Loss_G: 0.011124 Loss_D_real: -0.021857 Loss_D_fake 0.000457
[961/5000][295/535][99060] Loss_D: -0.023249 Loss_G: -0.006755 Loss_D_real: -0.021893 Loss_D_fake 0.001356
[961/5000][300/535][99061] Loss_D: -0.022852 Loss_G: 0.001542 Loss_D_real: -0.003433 Loss_D_fake 0.019419
[961/5000][305/535][99062] Loss_D: -0.023071 Loss_G: 0.026680 Loss_D_real: -0.031671 Loss_D_fake -0.008600
[961/5000][310/535][99063] Loss_D: -0.022224 Loss_G: -0.016386 Loss_D_real: 0.001850 Loss_D_fake 0.024074
[961/5000][315/535][99064] Loss_D: -0.022640 Loss_G: 0.004913 Loss_D_real: -0.013924 Loss_D_fake 0.008716
[961/5000][320/535][99065] Loss_D: -0.022774 Loss_G: 0.026595 Loss_D_real: -0.030539 Loss_D_fake -0.007765
[961/5000][325/535][99066] Loss_D: -0.023687 Loss_G: -0.000150 Loss_D_real: -0.009886 Loss_D_fake 0.013801
[961/5000][330/535][99067] Loss_D: -0.023994 Loss_G: 0.010781 Loss_D_real: -0.019147 Loss_D_fake 0.004848
[961/5000][335/535][99068] Loss_D: -0.023779 Loss_G: 0.008840 Loss_D_real: -0.021350 Loss_D_fake 0.002430
[961/5000][340/535][99069] Loss_D: -0.022128 Loss_G: 0.020452 Loss_D_real: -0.033024 Loss_D_fake -0.010896
[961/5000][345/535][99070] Loss_D: -0.024487 Loss_G: 0.009575 Loss_D_real: -0.023564 Loss_D_fake 0.000923
[961/5000][350/535][99071] Loss_D: -0.021362 Loss_G: 0.004253 Loss_D_real: -0.017198 Loss_D_fake 0.004164
[961/5000][355/535][99072] Loss_D: -0.022754 Loss_G: 0.015033 Loss_D_real: -0.020216 Loss_D_fake 0.002538
[961/5000][360/535][99073] Loss_D: -0.021972 Loss_G: -0.002952 Loss_D_real: -0.007251 Loss_D_fake 0.014720
[961/5000][365/535][99074] Loss_D: -0.021925 Loss_G: 0.010938 Loss_D_real: -0.016047 Loss_D_fake 0.005878
[961/5000][370/535][99075] Loss_D: -0.022371 Loss_G: 0.012924 Loss_D_real: -0.019776 Loss_D_fake 0.002595
[961/5000][375/535][99076] Loss_D: -0.023101 Loss_G: -0.003154 Loss_D_real: -0.016034 Loss_D_fake 0.007067
[961/5000][380/535][99077] Loss_D: -0.020672 Loss_G: -0.003197 Loss_D_real: -0.013279 Loss_D_fake 0.007393
[961/5000][385/535][99078] Loss_D: -0.022488 Loss_G: 0.016461 Loss_D_real: -0.026561 Loss_D_fake -0.004072
[961/5000][390/535][99079] Loss_D: -0.023387 Loss_G: 0.010572 Loss_D_real: -0.018166 Loss_D_fake 0.005221
[961/5000][395/535][99080] Loss_D: -0.022213 Loss_G: 0.016570 Loss_D_real: -0.022998 Loss_D_fake -0.000785
[961/5000][400/535][99081] Loss_D: -0.022451 Loss_G: -0.000571 Loss_D_real: -0.010242 Loss_D_fake 0.012209
[961/5000][405/535][99082] Loss_D: -0.022949 Loss_G: 0.013186 Loss_D_real: -0.026595 Loss_D_fake -0.003646
[961/5000][410/535][99083] Loss_D: -0.022927 Loss_G: 0.012063 Loss_D_real: -0.028693 Loss_D_fake -0.005766
[961/5000][415/535][99084] Loss_D: -0.022662 Loss_G: 0.020258 Loss_D_real: -0.022864 Loss_D_fake -0.000201
[961/5000][420/535][99085] Loss_D: -0.023732 Loss_G: 0.010185 Loss_D_real: -0.024694 Loss_D_fake -0.000962
[961/5000][425/535][99086] Loss_D: -0.023364 Loss_G: 0.008526 Loss_D_real: -0.017911 Loss_D_fake 0.005453
[961/5000][430/535][99087] Loss_D: -0.021414 Loss_G: 0.016626 Loss_D_real: -0.032638 Loss_D_fake -0.011224
[961/5000][435/535][99088] Loss_D: -0.022461 Loss_G: 0.006735 Loss_D_real: -0.021367 Loss_D_fake 0.001094
[961/5000][440/535][99089] Loss_D: -0.023296 Loss_G: 0.012553 Loss_D_real: -0.021976 Loss_D_fake 0.001321
[961/5000][445/535][99090] Loss_D: -0.022377 Loss_G: -0.004593 Loss_D_real: -0.014088 Loss_D_fake 0.008289
[961/5000][450/535][99091] Loss_D: -0.022195 Loss_G: 0.014393 Loss_D_real: -0.017640 Loss_D_fake 0.004556
[961/5000][455/535][99092] Loss_D: -0.021898 Loss_G: 0.017784 Loss_D_real: -0.035170 Loss_D_fake -0.013272
[961/5000][460/535][99093] Loss_D: -0.023213 Loss_G: 0.003293 Loss_D_real: -0.022288 Loss_D_fake 0.000925
[961/5000][465/535][99094] Loss_D: -0.023678 Loss_G: 0.005559 Loss_D_real: -0.018793 Loss_D_fake 0.004885
[961/5000][470/535][99095] Loss_D: -0.022841 Loss_G: 0.000232 Loss_D_real: -0.017861 Loss_D_fake 0.004980
[961/5000][475/535][99096] Loss_D: -0.023296 Loss_G: 0.008687 Loss_D_real: -0.019180 Loss_D_fake 0.004116
[961/5000][480/535][99097] Loss_D: -0.021860 Loss_G: -0.013336 Loss_D_real: -0.002014 Loss_D_fake 0.019847
[961/5000][485/535][99098] Loss_D: -0.023019 Loss_G: -0.000288 Loss_D_real: -0.021202 Loss_D_fake 0.001816
[961/5000][490/535][99099] Loss_D: -0.024325 Loss_G: 0.012972 Loss_D_real: -0.015966 Loss_D_fake 0.008359
[961/5000][495/535][99100] Loss_D: -0.022685 Loss_G: 0.021196 Loss_D_real: -0.021329 Loss_D_fake 0.001356
[961/5000][500/535][99101] Loss_D: -0.022960 Loss_G: 0.000656 Loss_D_real: -0.013864 Loss_D_fake 0.009096
[961/5000][505/535][99102] Loss_D: -0.023579 Loss_G: 0.000119 Loss_D_real: -0.015001 Loss_D_fake 0.008578
[961/5000][510/535][99103] Loss_D: -0.023675 Loss_G: 0.010703 Loss_D_real: -0.018141 Loss_D_fake 0.005534
[961/5000][515/535][99104] Loss_D: -0.023740 Loss_G: -0.001670 Loss_D_real: -0.007561 Loss_D_fake 0.016178
[961/5000][520/535][99105] Loss_D: -0.022886 Loss_G: 0.017339 Loss_D_real: -0.026506 Loss_D_fake -0.003620
[961/5000][525/535][99106] Loss_D: -0.022892 Loss_G: 0.014962 Loss_D_real: -0.020298 Loss_D_fake 0.002594
[961/5000][530/535][99107] Loss_D: -0.023263 Loss_G: 0.002580 Loss_D_real: -0.015773 Loss_D_fake 0.007490
[961/5000][535/535][99108] Loss_D: -0.021257 Loss_G: 0.033051 Loss_D_real: -0.039433 Loss_D_fake -0.018176
[962/5000][5/535][99109] Loss_D: -0.022703 Loss_G: 0.000621 Loss_D_real: -0.028317 Loss_D_fake -0.005614
[962/5000][10/535][99110] Loss_D: -0.022489 Loss_G: 0.020701 Loss_D_real: -0.039234 Loss_D_fake -0.016745
[962/5000][15/535][99111] Loss_D: -0.023102 Loss_G: 0.015537 Loss_D_real: -0.026730 Loss_D_fake -0.003628
[962/5000][20/535][99112] Loss_D: -0.023265 Loss_G: 0.013081 Loss_D_real: -0.010704 Loss_D_fake 0.012561
[962/5000][25/535][99113] Loss_D: -0.023417 Loss_G: 0.004702 Loss_D_real: -0.024005 Loss_D_fake -0.000588
[962/5000][30/535][99114] Loss_D: -0.022455 Loss_G: 0.002623 Loss_D_real: -0.017296 Loss_D_fake 0.005159
[962/5000][35/535][99115] Loss_D: -0.023889 Loss_G: 0.007623 Loss_D_real: -0.018355 Loss_D_fake 0.005533
[962/5000][40/535][99116] Loss_D: -0.023917 Loss_G: 0.010503 Loss_D_real: -0.040326 Loss_D_fake -0.016408
[962/5000][45/535][99117] Loss_D: -0.024175 Loss_G: 0.015331 Loss_D_real: -0.020977 Loss_D_fake 0.003199
[962/5000][50/535][99118] Loss_D: -0.023191 Loss_G: 0.006679 Loss_D_real: -0.028767 Loss_D_fake -0.005576
[962/5000][55/535][99119] Loss_D: -0.023598 Loss_G: -0.005974 Loss_D_real: -0.016386 Loss_D_fake 0.007212
[962/5000][60/535][99120] Loss_D: -0.022927 Loss_G: 0.015516 Loss_D_real: -0.017573 Loss_D_fake 0.005354
[962/5000][65/535][99121] Loss_D: -0.024098 Loss_G: 0.011793 Loss_D_real: -0.022166 Loss_D_fake 0.001932
[962/5000][70/535][99122] Loss_D: -0.022780 Loss_G: 0.015330 Loss_D_real: -0.020138 Loss_D_fake 0.002641
[962/5000][75/535][99123] Loss_D: -0.023143 Loss_G: 0.021257 Loss_D_real: -0.033410 Loss_D_fake -0.010267
[962/5000][80/535][99124] Loss_D: -0.023514 Loss_G: -0.015365 Loss_D_real: -0.016126 Loss_D_fake 0.007389
[962/5000][85/535][99125] Loss_D: -0.020406 Loss_G: 0.015753 Loss_D_real: -0.023335 Loss_D_fake -0.002929
[962/5000][90/535][99126] Loss_D: -0.022944 Loss_G: 0.011082 Loss_D_real: -0.032501 Loss_D_fake -0.009557
[962/5000][95/535][99127] Loss_D: -0.022659 Loss_G: 0.001169 Loss_D_real: -0.013101 Loss_D_fake 0.009558
[962/5000][100/535][99128] Loss_D: -0.022402 Loss_G: -0.007013 Loss_D_real: -0.016218 Loss_D_fake 0.006184
[962/5000][105/535][99129] Loss_D: -0.021502 Loss_G: 0.017699 Loss_D_real: -0.032308 Loss_D_fake -0.010806
[962/5000][110/535][99130] Loss_D: -0.021742 Loss_G: 0.000195 Loss_D_real: 0.004559 Loss_D_fake 0.026301
[962/5000][115/535][99131] Loss_D: -0.023946 Loss_G: 0.008501 Loss_D_real: -0.026812 Loss_D_fake -0.002865
[962/5000][120/535][99132] Loss_D: -0.022763 Loss_G: 0.006739 Loss_D_real: -0.015312 Loss_D_fake 0.007451
[962/5000][125/535][99133] Loss_D: -0.024181 Loss_G: 0.002398 Loss_D_real: -0.015297 Loss_D_fake 0.008884
[962/5000][130/535][99134] Loss_D: -0.024099 Loss_G: -0.000486 Loss_D_real: -0.018312 Loss_D_fake 0.005787
[962/5000][135/535][99135] Loss_D: -0.021826 Loss_G: -0.012016 Loss_D_real: -0.012135 Loss_D_fake 0.009691
[962/5000][140/535][99136] Loss_D: -0.021285 Loss_G: 0.020700 Loss_D_real: -0.032741 Loss_D_fake -0.011456
[962/5000][145/535][99137] Loss_D: -0.023721 Loss_G: -0.000709 Loss_D_real: -0.015623 Loss_D_fake 0.008099
[962/5000][150/535][99138] Loss_D: -0.022386 Loss_G: 0.002736 Loss_D_real: -0.009984 Loss_D_fake 0.012401
[962/5000][155/535][99139] Loss_D: -0.023117 Loss_G: -0.001027 Loss_D_real: -0.017442 Loss_D_fake 0.005675
[962/5000][160/535][99140] Loss_D: -0.023084 Loss_G: 0.014651 Loss_D_real: -0.019172 Loss_D_fake 0.003913
[962/5000][165/535][99141] Loss_D: -0.023459 Loss_G: -0.014642 Loss_D_real: -0.006813 Loss_D_fake 0.016646
[962/5000][170/535][99142] Loss_D: -0.023423 Loss_G: 0.010498 Loss_D_real: -0.014760 Loss_D_fake 0.008663
[962/5000][175/535][99143] Loss_D: -0.021741 Loss_G: -0.003309 Loss_D_real: -0.005384 Loss_D_fake 0.016357
[962/5000][180/535][99144] Loss_D: -0.023110 Loss_G: 0.016543 Loss_D_real: -0.021628 Loss_D_fake 0.001482
[962/5000][185/535][99145] Loss_D: -0.021845 Loss_G: 0.008701 Loss_D_real: -0.027701 Loss_D_fake -0.005856
[962/5000][190/535][99146] Loss_D: -0.021290 Loss_G: 0.027214 Loss_D_real: -0.035770 Loss_D_fake -0.014480
[962/5000][195/535][99147] Loss_D: -0.021941 Loss_G: -0.004857 Loss_D_real: -0.011281 Loss_D_fake 0.010660
[962/5000][200/535][99148] Loss_D: -0.022383 Loss_G: -0.000268 Loss_D_real: -0.021294 Loss_D_fake 0.001089
[962/5000][205/535][99149] Loss_D: -0.021539 Loss_G: 0.019161 Loss_D_real: -0.030207 Loss_D_fake -0.008668
[962/5000][210/535][99150] Loss_D: -0.022937 Loss_G: 0.025957 Loss_D_real: -0.022809 Loss_D_fake 0.000128
[962/5000][215/535][99151] Loss_D: -0.022769 Loss_G: 0.024858 Loss_D_real: -0.023836 Loss_D_fake -0.001067
[962/5000][220/535][99152] Loss_D: -0.023249 Loss_G: 0.005906 Loss_D_real: -0.022325 Loss_D_fake 0.000923
[962/5000][225/535][99153] Loss_D: -0.022669 Loss_G: 0.008174 Loss_D_real: -0.015518 Loss_D_fake 0.007151
[962/5000][230/535][99154] Loss_D: -0.022635 Loss_G: 0.007596 Loss_D_real: -0.023512 Loss_D_fake -0.000876
[962/5000][235/535][99155] Loss_D: -0.023105 Loss_G: 0.009515 Loss_D_real: -0.014799 Loss_D_fake 0.008305
[962/5000][240/535][99156] Loss_D: -0.022614 Loss_G: 0.004840 Loss_D_real: -0.021840 Loss_D_fake 0.000774
[962/5000][245/535][99157] Loss_D: -0.021395 Loss_G: -0.002498 Loss_D_real: -0.015401 Loss_D_fake 0.005994
[962/5000][250/535][99158] Loss_D: -0.022115 Loss_G: -0.004795 Loss_D_real: -0.013517 Loss_D_fake 0.008598
[962/5000][255/535][99159] Loss_D: -0.021259 Loss_G: -0.005013 Loss_D_real: -0.017070 Loss_D_fake 0.004189
[962/5000][260/535][99160] Loss_D: -0.021894 Loss_G: 0.009696 Loss_D_real: -0.012636 Loss_D_fake 0.009259
[962/5000][265/535][99161] Loss_D: -0.024429 Loss_G: 0.015854 Loss_D_real: -0.018040 Loss_D_fake 0.006389
[962/5000][270/535][99162] Loss_D: -0.023112 Loss_G: -0.000228 Loss_D_real: -0.014345 Loss_D_fake 0.008767
[962/5000][275/535][99163] Loss_D: -0.021774 Loss_G: -0.008716 Loss_D_real: -0.002486 Loss_D_fake 0.019288
[962/5000][280/535][99164] Loss_D: -0.022319 Loss_G: 0.001115 Loss_D_real: -0.010470 Loss_D_fake 0.011850
[962/5000][285/535][99165] Loss_D: -0.021599 Loss_G: -0.004597 Loss_D_real: -0.004617 Loss_D_fake 0.016981
[962/5000][290/535][99166] Loss_D: -0.022109 Loss_G: 0.012783 Loss_D_real: -0.029080 Loss_D_fake -0.006971
[962/5000][295/535][99167] Loss_D: -0.022237 Loss_G: 0.014630 Loss_D_real: -0.029317 Loss_D_fake -0.007079
[962/5000][300/535][99168] Loss_D: -0.020574 Loss_G: 0.011401 Loss_D_real: -0.032816 Loss_D_fake -0.012241
[962/5000][305/535][99169] Loss_D: -0.022873 Loss_G: 0.000660 Loss_D_real: -0.008370 Loss_D_fake 0.014503
[962/5000][310/535][99170] Loss_D: -0.022445 Loss_G: 0.028885 Loss_D_real: -0.040541 Loss_D_fake -0.018096
[962/5000][315/535][99171] Loss_D: -0.023542 Loss_G: 0.003557 Loss_D_real: -0.020764 Loss_D_fake 0.002778
[962/5000][320/535][99172] Loss_D: -0.023601 Loss_G: 0.007231 Loss_D_real: -0.018685 Loss_D_fake 0.004917
[962/5000][325/535][99173] Loss_D: -0.022685 Loss_G: 0.004210 Loss_D_real: -0.018114 Loss_D_fake 0.004570
[962/5000][330/535][99174] Loss_D: -0.022245 Loss_G: 0.006841 Loss_D_real: -0.019018 Loss_D_fake 0.003227
[962/5000][335/535][99175] Loss_D: -0.021541 Loss_G: 0.030298 Loss_D_real: -0.036355 Loss_D_fake -0.014814
[962/5000][340/535][99176] Loss_D: -0.022895 Loss_G: -0.000660 Loss_D_real: -0.009185 Loss_D_fake 0.013710
[962/5000][345/535][99177] Loss_D: -0.022795 Loss_G: 0.002693 Loss_D_real: -0.009042 Loss_D_fake 0.013753
[962/5000][350/535][99178] Loss_D: -0.023904 Loss_G: 0.002864 Loss_D_real: -0.015768 Loss_D_fake 0.008136
[962/5000][355/535][99179] Loss_D: -0.022732 Loss_G: 0.016946 Loss_D_real: -0.018633 Loss_D_fake 0.004100
[962/5000][360/535][99180] Loss_D: -0.022897 Loss_G: 0.013977 Loss_D_real: -0.025766 Loss_D_fake -0.002869
[962/5000][365/535][99181] Loss_D: -0.021120 Loss_G: -0.020830 Loss_D_real: 0.001583 Loss_D_fake 0.022703
[962/5000][370/535][99182] Loss_D: -0.023514 Loss_G: -0.001888 Loss_D_real: -0.013202 Loss_D_fake 0.010312
[962/5000][375/535][99183] Loss_D: -0.023117 Loss_G: 0.005905 Loss_D_real: -0.007076 Loss_D_fake 0.016041
[962/5000][380/535][99184] Loss_D: -0.022777 Loss_G: 0.011647 Loss_D_real: -0.023766 Loss_D_fake -0.000988
[962/5000][385/535][99185] Loss_D: -0.021814 Loss_G: 0.014452 Loss_D_real: -0.012976 Loss_D_fake 0.008838
[962/5000][390/535][99186] Loss_D: -0.021943 Loss_G: 0.001771 Loss_D_real: -0.014065 Loss_D_fake 0.007878
[962/5000][395/535][99187] Loss_D: -0.021731 Loss_G: 0.004066 Loss_D_real: -0.026426 Loss_D_fake -0.004695
[962/5000][400/535][99188] Loss_D: -0.022184 Loss_G: 0.014690 Loss_D_real: -0.023456 Loss_D_fake -0.001272
[962/5000][405/535][99189] Loss_D: -0.021143 Loss_G: 0.028786 Loss_D_real: -0.028894 Loss_D_fake -0.007751
[962/5000][410/535][99190] Loss_D: -0.021190 Loss_G: 0.009724 Loss_D_real: -0.018886 Loss_D_fake 0.002304
[962/5000][415/535][99191] Loss_D: -0.022469 Loss_G: -0.004690 Loss_D_real: -0.013891 Loss_D_fake 0.008578
[962/5000][420/535][99192] Loss_D: -0.021301 Loss_G: 0.011415 Loss_D_real: -0.021436 Loss_D_fake -0.000135
[962/5000][425/535][99193] Loss_D: -0.023352 Loss_G: 0.010367 Loss_D_real: -0.023697 Loss_D_fake -0.000345
[962/5000][430/535][99194] Loss_D: -0.021338 Loss_G: -0.012686 Loss_D_real: -0.002433 Loss_D_fake 0.018905
[962/5000][435/535][99195] Loss_D: -0.022730 Loss_G: 0.002200 Loss_D_real: -0.017318 Loss_D_fake 0.005412
[962/5000][440/535][99196] Loss_D: -0.021615 Loss_G: 0.010669 Loss_D_real: -0.010564 Loss_D_fake 0.011051
[962/5000][445/535][99197] Loss_D: -0.021887 Loss_G: 0.002342 Loss_D_real: -0.021724 Loss_D_fake 0.000163
[962/5000][450/535][99198] Loss_D: -0.021402 Loss_G: 0.018540 Loss_D_real: -0.025957 Loss_D_fake -0.004555
[962/5000][455/535][99199] Loss_D: -0.023118 Loss_G: 0.007787 Loss_D_real: -0.028429 Loss_D_fake -0.005311
[962/5000][460/535][99200] Loss_D: -0.023527 Loss_G: -0.004340 Loss_D_real: -0.009802 Loss_D_fake 0.013725
[962/5000][465/535][99201] Loss_D: -0.025094 Loss_G: 0.016034 Loss_D_real: -0.021629 Loss_D_fake 0.003465
[962/5000][470/535][99202] Loss_D: -0.022877 Loss_G: 0.017336 Loss_D_real: -0.018466 Loss_D_fake 0.004411
[962/5000][475/535][99203] Loss_D: -0.023434 Loss_G: 0.013966 Loss_D_real: -0.023239 Loss_D_fake 0.000195
[962/5000][480/535][99204] Loss_D: -0.023378 Loss_G: 0.014640 Loss_D_real: -0.024076 Loss_D_fake -0.000698
[962/5000][485/535][99205] Loss_D: -0.023105 Loss_G: 0.011734 Loss_D_real: -0.023387 Loss_D_fake -0.000282
[962/5000][490/535][99206] Loss_D: -0.022797 Loss_G: 0.008349 Loss_D_real: -0.032215 Loss_D_fake -0.009419
[962/5000][495/535][99207] Loss_D: -0.023167 Loss_G: 0.014211 Loss_D_real: -0.019839 Loss_D_fake 0.003329
[962/5000][500/535][99208] Loss_D: -0.023363 Loss_G: 0.004859 Loss_D_real: -0.011288 Loss_D_fake 0.012076
[962/5000][505/535][99209] Loss_D: -0.022987 Loss_G: -0.005453 Loss_D_real: -0.012784 Loss_D_fake 0.010203
[962/5000][510/535][99210] Loss_D: -0.023585 Loss_G: -0.008575 Loss_D_real: -0.010755 Loss_D_fake 0.012829
[962/5000][515/535][99211] Loss_D: -0.021398 Loss_G: 0.015644 Loss_D_real: -0.026506 Loss_D_fake -0.005108
[962/5000][520/535][99212] Loss_D: -0.022678 Loss_G: 0.006716 Loss_D_real: -0.028805 Loss_D_fake -0.006127
[962/5000][525/535][99213] Loss_D: -0.023308 Loss_G: -0.001030 Loss_D_real: -0.009975 Loss_D_fake 0.013333
[962/5000][530/535][99214] Loss_D: -0.022560 Loss_G: 0.013694 Loss_D_real: -0.028005 Loss_D_fake -0.005445
[962/5000][535/535][99215] Loss_D: -0.023412 Loss_G: -0.028463 Loss_D_real: -0.032883 Loss_D_fake -0.009471
[963/5000][5/535][99216] Loss_D: -0.024163 Loss_G: 0.010579 Loss_D_real: -0.020042 Loss_D_fake 0.004121
[963/5000][10/535][99217] Loss_D: -0.022633 Loss_G: 0.018582 Loss_D_real: -0.025556 Loss_D_fake -0.002923
[963/5000][15/535][99218] Loss_D: -0.022914 Loss_G: 0.017603 Loss_D_real: -0.016041 Loss_D_fake 0.006873
[963/5000][20/535][99219] Loss_D: -0.023736 Loss_G: -0.002608 Loss_D_real: -0.016771 Loss_D_fake 0.006964
[963/5000][25/535][99220] Loss_D: -0.021634 Loss_G: 0.016209 Loss_D_real: -0.026928 Loss_D_fake -0.005293
[963/5000][30/535][99221] Loss_D: -0.024142 Loss_G: 0.017146 Loss_D_real: -0.021183 Loss_D_fake 0.002959
[963/5000][35/535][99222] Loss_D: -0.023441 Loss_G: 0.007474 Loss_D_real: -0.016788 Loss_D_fake 0.006653
[963/5000][40/535][99223] Loss_D: -0.020888 Loss_G: 0.010661 Loss_D_real: -0.031412 Loss_D_fake -0.010524
[963/5000][45/535][99224] Loss_D: -0.022702 Loss_G: 0.002886 Loss_D_real: -0.014111 Loss_D_fake 0.008591
[963/5000][50/535][99225] Loss_D: -0.023301 Loss_G: 0.018066 Loss_D_real: -0.023752 Loss_D_fake -0.000450
[963/5000][55/535][99226] Loss_D: -0.021520 Loss_G: 0.010739 Loss_D_real: -0.019305 Loss_D_fake 0.002215
[963/5000][60/535][99227] Loss_D: -0.021408 Loss_G: 0.007125 Loss_D_real: -0.018347 Loss_D_fake 0.003061
[963/5000][65/535][99228] Loss_D: -0.022333 Loss_G: -0.003308 Loss_D_real: -0.016598 Loss_D_fake 0.005735
[963/5000][70/535][99229] Loss_D: -0.022474 Loss_G: -0.002740 Loss_D_real: -0.008986 Loss_D_fake 0.013488
[963/5000][75/535][99230] Loss_D: -0.021762 Loss_G: 0.009533 Loss_D_real: -0.022075 Loss_D_fake -0.000313
[963/5000][80/535][99231] Loss_D: -0.020583 Loss_G: -0.009636 Loss_D_real: 0.001767 Loss_D_fake 0.022351
[963/5000][85/535][99232] Loss_D: -0.024082 Loss_G: 0.022973 Loss_D_real: -0.019398 Loss_D_fake 0.004684
[963/5000][90/535][99233] Loss_D: -0.023105 Loss_G: 0.021375 Loss_D_real: -0.022806 Loss_D_fake 0.000299
[963/5000][95/535][99234] Loss_D: -0.022528 Loss_G: -0.003849 Loss_D_real: -0.007805 Loss_D_fake 0.014723
[963/5000][100/535][99235] Loss_D: -0.023063 Loss_G: -0.018525 Loss_D_real: -0.006329 Loss_D_fake 0.016734
[963/5000][105/535][99236] Loss_D: -0.022989 Loss_G: 0.021430 Loss_D_real: -0.012043 Loss_D_fake 0.010945
[963/5000][110/535][99237] Loss_D: -0.024321 Loss_G: 0.009811 Loss_D_real: -0.018959 Loss_D_fake 0.005363
[963/5000][115/535][99238] Loss_D: -0.024283 Loss_G: -0.006682 Loss_D_real: -0.015096 Loss_D_fake 0.009187
[963/5000][120/535][99239] Loss_D: -0.022262 Loss_G: -0.014083 Loss_D_real: 0.001074 Loss_D_fake 0.023336
[963/5000][125/535][99240] Loss_D: -0.021852 Loss_G: 0.016144 Loss_D_real: -0.035087 Loss_D_fake -0.013235
[963/5000][130/535][99241] Loss_D: -0.022228 Loss_G: 0.003357 Loss_D_real: -0.010963 Loss_D_fake 0.011265
[963/5000][135/535][99242] Loss_D: -0.022721 Loss_G: 0.016482 Loss_D_real: -0.015166 Loss_D_fake 0.007555
[963/5000][140/535][99243] Loss_D: -0.022338 Loss_G: 0.011915 Loss_D_real: -0.012072 Loss_D_fake 0.010266
[963/5000][145/535][99244] Loss_D: -0.022587 Loss_G: 0.007242 Loss_D_real: -0.022869 Loss_D_fake -0.000282
[963/5000][150/535][99245] Loss_D: -0.024963 Loss_G: 0.016553 Loss_D_real: -0.031015 Loss_D_fake -0.006052
[963/5000][155/535][99246] Loss_D: -0.023839 Loss_G: -0.004192 Loss_D_real: -0.016900 Loss_D_fake 0.006939
[963/5000][160/535][99247] Loss_D: -0.022648 Loss_G: 0.012806 Loss_D_real: -0.016534 Loss_D_fake 0.006113
[963/5000][165/535][99248] Loss_D: -0.022473 Loss_G: 0.007528 Loss_D_real: -0.026768 Loss_D_fake -0.004295
[963/5000][170/535][99249] Loss_D: -0.023163 Loss_G: 0.000872 Loss_D_real: -0.016724 Loss_D_fake 0.006439
[963/5000][175/535][99250] Loss_D: -0.022059 Loss_G: 0.022764 Loss_D_real: -0.030067 Loss_D_fake -0.008008
[963/5000][180/535][99251] Loss_D: -0.021788 Loss_G: -0.002156 Loss_D_real: -0.022470 Loss_D_fake -0.000682
[963/5000][185/535][99252] Loss_D: -0.024363 Loss_G: -0.003003 Loss_D_real: -0.018503 Loss_D_fake 0.005860
[963/5000][190/535][99253] Loss_D: -0.022537 Loss_G: 0.028003 Loss_D_real: -0.023832 Loss_D_fake -0.001295
[963/5000][195/535][99254] Loss_D: -0.022689 Loss_G: 0.000388 Loss_D_real: -0.008426 Loss_D_fake 0.014263
[963/5000][200/535][99255] Loss_D: -0.023433 Loss_G: 0.001750 Loss_D_real: -0.015278 Loss_D_fake 0.008155
[963/5000][205/535][99256] Loss_D: -0.022643 Loss_G: 0.018480 Loss_D_real: -0.025907 Loss_D_fake -0.003264
[963/5000][210/535][99257] Loss_D: -0.022980 Loss_G: -0.002926 Loss_D_real: -0.020008 Loss_D_fake 0.002972
[963/5000][215/535][99258] Loss_D: -0.022725 Loss_G: 0.015114 Loss_D_real: -0.030817 Loss_D_fake -0.008092
[963/5000][220/535][99259] Loss_D: -0.023451 Loss_G: 0.012704 Loss_D_real: -0.020479 Loss_D_fake 0.002972
[963/5000][225/535][99260] Loss_D: -0.022841 Loss_G: 0.017649 Loss_D_real: -0.036181 Loss_D_fake -0.013340
[963/5000][230/535][99261] Loss_D: -0.022506 Loss_G: -0.005952 Loss_D_real: -0.019614 Loss_D_fake 0.002892
[963/5000][235/535][99262] Loss_D: -0.023030 Loss_G: -0.010164 Loss_D_real: -0.010749 Loss_D_fake 0.012281
[963/5000][240/535][99263] Loss_D: -0.023046 Loss_G: 0.005479 Loss_D_real: -0.022947 Loss_D_fake 0.000099
[963/5000][245/535][99264] Loss_D: -0.022474 Loss_G: 0.021660 Loss_D_real: -0.022489 Loss_D_fake -0.000014
[963/5000][250/535][99265] Loss_D: -0.022483 Loss_G: 0.007814 Loss_D_real: -0.011541 Loss_D_fake 0.010943
[963/5000][255/535][99266] Loss_D: -0.022498 Loss_G: 0.014261 Loss_D_real: -0.030111 Loss_D_fake -0.007613
[963/5000][260/535][99267] Loss_D: -0.024236 Loss_G: 0.008104 Loss_D_real: -0.022001 Loss_D_fake 0.002235
[963/5000][265/535][99268] Loss_D: -0.022315 Loss_G: -0.013917 Loss_D_real: -0.004525 Loss_D_fake 0.017790
[963/5000][270/535][99269] Loss_D: -0.022106 Loss_G: 0.009574 Loss_D_real: -0.026812 Loss_D_fake -0.004706
[963/5000][275/535][99270] Loss_D: -0.023843 Loss_G: -0.001304 Loss_D_real: -0.013480 Loss_D_fake 0.010362
[963/5000][280/535][99271] Loss_D: -0.023788 Loss_G: 0.006331 Loss_D_real: -0.017807 Loss_D_fake 0.005981
[963/5000][285/535][99272] Loss_D: -0.022830 Loss_G: 0.001412 Loss_D_real: -0.014578 Loss_D_fake 0.008252
[963/5000][290/535][99273] Loss_D: -0.023764 Loss_G: 0.006685 Loss_D_real: -0.024303 Loss_D_fake -0.000539
[963/5000][295/535][99274] Loss_D: -0.022282 Loss_G: -0.001352 Loss_D_real: -0.013329 Loss_D_fake 0.008953
[963/5000][300/535][99275] Loss_D: -0.022395 Loss_G: -0.003213 Loss_D_real: -0.014995 Loss_D_fake 0.007401
[963/5000][305/535][99276] Loss_D: -0.022108 Loss_G: 0.018990 Loss_D_real: -0.023213 Loss_D_fake -0.001106
[963/5000][310/535][99277] Loss_D: -0.022297 Loss_G: -0.000144 Loss_D_real: -0.016966 Loss_D_fake 0.005331
[963/5000][315/535][99278] Loss_D: -0.022859 Loss_G: 0.006084 Loss_D_real: -0.016856 Loss_D_fake 0.006003
[963/5000][320/535][99279] Loss_D: -0.023339 Loss_G: 0.012943 Loss_D_real: -0.010983 Loss_D_fake 0.012356
[963/5000][325/535][99280] Loss_D: -0.023085 Loss_G: 0.025428 Loss_D_real: -0.024131 Loss_D_fake -0.001046
[963/5000][330/535][99281] Loss_D: -0.024846 Loss_G: 0.015067 Loss_D_real: -0.018038 Loss_D_fake 0.006808
[963/5000][335/535][99282] Loss_D: -0.022427 Loss_G: 0.013982 Loss_D_real: -0.040706 Loss_D_fake -0.018279
[963/5000][340/535][99283] Loss_D: -0.023835 Loss_G: 0.011513 Loss_D_real: -0.018583 Loss_D_fake 0.005252
[963/5000][345/535][99284] Loss_D: -0.022849 Loss_G: -0.010235 Loss_D_real: -0.007390 Loss_D_fake 0.015459
[963/5000][350/535][99285] Loss_D: -0.019225 Loss_G: 0.029863 Loss_D_real: -0.036300 Loss_D_fake -0.017075
[963/5000][355/535][99286] Loss_D: -0.023827 Loss_G: 0.021691 Loss_D_real: -0.019723 Loss_D_fake 0.004104
[963/5000][360/535][99287] Loss_D: -0.021754 Loss_G: -0.007694 Loss_D_real: -0.013293 Loss_D_fake 0.008461
[963/5000][365/535][99288] Loss_D: -0.022153 Loss_G: -0.000540 Loss_D_real: -0.016780 Loss_D_fake 0.005373
[963/5000][370/535][99289] Loss_D: -0.023060 Loss_G: 0.024758 Loss_D_real: -0.016657 Loss_D_fake 0.006402
[963/5000][375/535][99290] Loss_D: -0.022161 Loss_G: 0.004111 Loss_D_real: -0.023599 Loss_D_fake -0.001438
[963/5000][380/535][99291] Loss_D: -0.022259 Loss_G: 0.019467 Loss_D_real: -0.040663 Loss_D_fake -0.018404
[963/5000][385/535][99292] Loss_D: -0.022402 Loss_G: -0.005578 Loss_D_real: -0.017813 Loss_D_fake 0.004588
[963/5000][390/535][99293] Loss_D: -0.022080 Loss_G: -0.012078 Loss_D_real: -0.001410 Loss_D_fake 0.020670
[963/5000][395/535][99294] Loss_D: -0.022874 Loss_G: 0.015867 Loss_D_real: -0.031247 Loss_D_fake -0.008374
[963/5000][400/535][99295] Loss_D: -0.022252 Loss_G: 0.007173 Loss_D_real: -0.021637 Loss_D_fake 0.000616
[963/5000][405/535][99296] Loss_D: -0.023784 Loss_G: 0.001816 Loss_D_real: -0.017441 Loss_D_fake 0.006343
[963/5000][410/535][99297] Loss_D: -0.024312 Loss_G: 0.010798 Loss_D_real: -0.026557 Loss_D_fake -0.002245
[963/5000][415/535][99298] Loss_D: -0.023198 Loss_G: -0.014293 Loss_D_real: -0.014323 Loss_D_fake 0.008875
[963/5000][420/535][99299] Loss_D: -0.020945 Loss_G: 0.016796 Loss_D_real: -0.035294 Loss_D_fake -0.014349
[963/5000][425/535][99300] Loss_D: -0.023130 Loss_G: -0.008971 Loss_D_real: -0.021694 Loss_D_fake 0.001436
[963/5000][430/535][99301] Loss_D: -0.022914 Loss_G: 0.011247 Loss_D_real: -0.015580 Loss_D_fake 0.007334
[963/5000][435/535][99302] Loss_D: -0.021921 Loss_G: 0.020510 Loss_D_real: -0.024480 Loss_D_fake -0.002559
[963/5000][440/535][99303] Loss_D: -0.023202 Loss_G: 0.010586 Loss_D_real: -0.028199 Loss_D_fake -0.004997
[963/5000][445/535][99304] Loss_D: -0.022072 Loss_G: -0.004130 Loss_D_real: -0.013492 Loss_D_fake 0.008581
[963/5000][450/535][99305] Loss_D: -0.022441 Loss_G: 0.018687 Loss_D_real: -0.029861 Loss_D_fake -0.007421
[963/5000][455/535][99306] Loss_D: -0.024158 Loss_G: -0.006704 Loss_D_real: -0.006062 Loss_D_fake 0.018096
[963/5000][460/535][99307] Loss_D: -0.023092 Loss_G: 0.006742 Loss_D_real: -0.018944 Loss_D_fake 0.004147
[963/5000][465/535][99308] Loss_D: -0.023347 Loss_G: 0.002593 Loss_D_real: -0.025069 Loss_D_fake -0.001722
[963/5000][470/535][99309] Loss_D: -0.023137 Loss_G: -0.000930 Loss_D_real: -0.012944 Loss_D_fake 0.010194
[963/5000][475/535][99310] Loss_D: -0.024901 Loss_G: 0.010555 Loss_D_real: -0.020930 Loss_D_fake 0.003971
[963/5000][480/535][99311] Loss_D: -0.023951 Loss_G: 0.019493 Loss_D_real: -0.029589 Loss_D_fake -0.005639
[963/5000][485/535][99312] Loss_D: -0.023325 Loss_G: 0.006973 Loss_D_real: -0.008992 Loss_D_fake 0.014333
[963/5000][490/535][99313] Loss_D: -0.023548 Loss_G: -0.001507 Loss_D_real: -0.021221 Loss_D_fake 0.002326
[963/5000][495/535][99314] Loss_D: -0.023185 Loss_G: 0.028565 Loss_D_real: -0.026747 Loss_D_fake -0.003561
[963/5000][500/535][99315] Loss_D: -0.023080 Loss_G: 0.009019 Loss_D_real: -0.020167 Loss_D_fake 0.002913
[963/5000][505/535][99316] Loss_D: -0.023030 Loss_G: 0.004668 Loss_D_real: -0.022329 Loss_D_fake 0.000701
[963/5000][510/535][99317] Loss_D: -0.022804 Loss_G: -0.015801 Loss_D_real: -0.016474 Loss_D_fake 0.006330
[963/5000][515/535][99318] Loss_D: -0.022883 Loss_G: 0.023016 Loss_D_real: -0.021949 Loss_D_fake 0.000934
[963/5000][520/535][99319] Loss_D: -0.021818 Loss_G: 0.011568 Loss_D_real: -0.023675 Loss_D_fake -0.001857
[963/5000][525/535][99320] Loss_D: -0.022466 Loss_G: 0.016847 Loss_D_real: -0.020594 Loss_D_fake 0.001872
[963/5000][530/535][99321] Loss_D: -0.021162 Loss_G: 0.000635 Loss_D_real: -0.012139 Loss_D_fake 0.009024
[963/5000][535/535][99322] Loss_D: -0.021164 Loss_G: -0.003743 Loss_D_real: -0.022641 Loss_D_fake -0.001477
[964/5000][5/535][99323] Loss_D: -0.022568 Loss_G: 0.001372 Loss_D_real: -0.022436 Loss_D_fake 0.000132
[964/5000][10/535][99324] Loss_D: -0.023416 Loss_G: -0.000535 Loss_D_real: -0.017997 Loss_D_fake 0.005418
[964/5000][15/535][99325] Loss_D: -0.023939 Loss_G: 0.008311 Loss_D_real: -0.020130 Loss_D_fake 0.003809
[964/5000][20/535][99326] Loss_D: -0.022037 Loss_G: 0.026936 Loss_D_real: -0.032715 Loss_D_fake -0.010678
[964/5000][25/535][99327] Loss_D: -0.022426 Loss_G: 0.010327 Loss_D_real: -0.014917 Loss_D_fake 0.007509
[964/5000][30/535][99328] Loss_D: -0.023244 Loss_G: -0.002003 Loss_D_real: -0.020579 Loss_D_fake 0.002665
[964/5000][35/535][99329] Loss_D: -0.024293 Loss_G: 0.014107 Loss_D_real: -0.019658 Loss_D_fake 0.004635
[964/5000][40/535][99330] Loss_D: -0.023386 Loss_G: 0.005094 Loss_D_real: -0.024018 Loss_D_fake -0.000632
[964/5000][45/535][99331] Loss_D: -0.023668 Loss_G: 0.005832 Loss_D_real: -0.020017 Loss_D_fake 0.003651
[964/5000][50/535][99332] Loss_D: -0.022509 Loss_G: 0.011379 Loss_D_real: -0.023403 Loss_D_fake -0.000893
[964/5000][55/535][99333] Loss_D: -0.023439 Loss_G: 0.003600 Loss_D_real: -0.015279 Loss_D_fake 0.008160
[964/5000][60/535][99334] Loss_D: -0.024227 Loss_G: 0.000678 Loss_D_real: -0.017005 Loss_D_fake 0.007222
[964/5000][65/535][99335] Loss_D: -0.023236 Loss_G: 0.007697 Loss_D_real: -0.015093 Loss_D_fake 0.008143
[964/5000][70/535][99336] Loss_D: -0.022981 Loss_G: -0.001725 Loss_D_real: -0.010423 Loss_D_fake 0.012558
[964/5000][75/535][99337] Loss_D: -0.021514 Loss_G: -0.010084 Loss_D_real: -0.005070 Loss_D_fake 0.016444
[964/5000][80/535][99338] Loss_D: -0.022734 Loss_G: -0.007422 Loss_D_real: -0.002737 Loss_D_fake 0.019997
[964/5000][85/535][99339] Loss_D: -0.023244 Loss_G: 0.014556 Loss_D_real: -0.026936 Loss_D_fake -0.003692
[964/5000][90/535][99340] Loss_D: -0.024589 Loss_G: 0.002089 Loss_D_real: -0.017797 Loss_D_fake 0.006792
[964/5000][95/535][99341] Loss_D: -0.022674 Loss_G: 0.020406 Loss_D_real: -0.023584 Loss_D_fake -0.000910
[964/5000][100/535][99342] Loss_D: -0.023594 Loss_G: 0.018315 Loss_D_real: -0.024903 Loss_D_fake -0.001308
[964/5000][105/535][99343] Loss_D: -0.022086 Loss_G: -0.021704 Loss_D_real: -0.001505 Loss_D_fake 0.020582
[964/5000][110/535][99344] Loss_D: -0.022097 Loss_G: -0.006848 Loss_D_real: -0.016488 Loss_D_fake 0.005609
[964/5000][115/535][99345] Loss_D: -0.022869 Loss_G: 0.020703 Loss_D_real: -0.022479 Loss_D_fake 0.000390
[964/5000][120/535][99346] Loss_D: -0.023474 Loss_G: 0.012225 Loss_D_real: -0.019494 Loss_D_fake 0.003980
[964/5000][125/535][99347] Loss_D: -0.023374 Loss_G: 0.007255 Loss_D_real: -0.020838 Loss_D_fake 0.002535
[964/5000][130/535][99348] Loss_D: -0.023762 Loss_G: 0.006176 Loss_D_real: -0.026155 Loss_D_fake -0.002393
[964/5000][135/535][99349] Loss_D: -0.022247 Loss_G: -0.000230 Loss_D_real: -0.010332 Loss_D_fake 0.011914
[964/5000][140/535][99350] Loss_D: -0.021984 Loss_G: 0.006671 Loss_D_real: -0.020171 Loss_D_fake 0.001814
[964/5000][145/535][99351] Loss_D: -0.022934 Loss_G: 0.003322 Loss_D_real: -0.021182 Loss_D_fake 0.001752
[964/5000][150/535][99352] Loss_D: -0.022092 Loss_G: -0.000832 Loss_D_real: -0.012287 Loss_D_fake 0.009804
[964/5000][155/535][99353] Loss_D: -0.020862 Loss_G: 0.023321 Loss_D_real: -0.024797 Loss_D_fake -0.003935
[964/5000][160/535][99354] Loss_D: -0.022161 Loss_G: 0.014053 Loss_D_real: -0.026796 Loss_D_fake -0.004635
[964/5000][165/535][99355] Loss_D: -0.021974 Loss_G: -0.002092 Loss_D_real: -0.016161 Loss_D_fake 0.005813
[964/5000][170/535][99356] Loss_D: -0.022852 Loss_G: 0.004514 Loss_D_real: -0.014921 Loss_D_fake 0.007931
[964/5000][175/535][99357] Loss_D: -0.023244 Loss_G: 0.016680 Loss_D_real: -0.029350 Loss_D_fake -0.006106
[964/5000][180/535][99358] Loss_D: -0.021830 Loss_G: 0.004954 Loss_D_real: -0.003557 Loss_D_fake 0.018273
[964/5000][185/535][99359] Loss_D: -0.022706 Loss_G: 0.000910 Loss_D_real: -0.024155 Loss_D_fake -0.001449
[964/5000][190/535][99360] Loss_D: -0.023010 Loss_G: -0.010098 Loss_D_real: -0.009237 Loss_D_fake 0.013774
[964/5000][195/535][99361] Loss_D: -0.023544 Loss_G: 0.017725 Loss_D_real: -0.028779 Loss_D_fake -0.005235
[964/5000][200/535][99362] Loss_D: -0.023092 Loss_G: 0.030544 Loss_D_real: -0.034044 Loss_D_fake -0.010952
[964/5000][205/535][99363] Loss_D: -0.023860 Loss_G: 0.010663 Loss_D_real: -0.011374 Loss_D_fake 0.012487
[964/5000][210/535][99364] Loss_D: -0.020889 Loss_G: 0.003535 Loss_D_real: -0.014860 Loss_D_fake 0.006029
[964/5000][215/535][99365] Loss_D: -0.022532 Loss_G: -0.014806 Loss_D_real: -0.007762 Loss_D_fake 0.014770
[964/5000][220/535][99366] Loss_D: -0.023434 Loss_G: 0.008810 Loss_D_real: -0.015865 Loss_D_fake 0.007569
[964/5000][225/535][99367] Loss_D: -0.022483 Loss_G: 0.007911 Loss_D_real: -0.021611 Loss_D_fake 0.000872
[964/5000][230/535][99368] Loss_D: -0.023188 Loss_G: 0.017646 Loss_D_real: -0.014859 Loss_D_fake 0.008329
[964/5000][235/535][99369] Loss_D: -0.022221 Loss_G: 0.000847 Loss_D_real: -0.022116 Loss_D_fake 0.000105
[964/5000][240/535][99370] Loss_D: -0.023656 Loss_G: 0.019065 Loss_D_real: -0.024110 Loss_D_fake -0.000454
[964/5000][245/535][99371] Loss_D: -0.023538 Loss_G: 0.025109 Loss_D_real: -0.025181 Loss_D_fake -0.001643
[964/5000][250/535][99372] Loss_D: -0.023351 Loss_G: 0.021451 Loss_D_real: -0.034112 Loss_D_fake -0.010761
[964/5000][255/535][99373] Loss_D: -0.021996 Loss_G: -0.002080 Loss_D_real: -0.012268 Loss_D_fake 0.009728
[964/5000][260/535][99374] Loss_D: -0.023793 Loss_G: 0.007580 Loss_D_real: -0.016677 Loss_D_fake 0.007116
[964/5000][265/535][99375] Loss_D: -0.022462 Loss_G: 0.017380 Loss_D_real: -0.030263 Loss_D_fake -0.007801
[964/5000][270/535][99376] Loss_D: -0.023070 Loss_G: 0.006595 Loss_D_real: -0.017141 Loss_D_fake 0.005930
[964/5000][275/535][99377] Loss_D: -0.023188 Loss_G: 0.006603 Loss_D_real: -0.023299 Loss_D_fake -0.000111
[964/5000][280/535][99378] Loss_D: -0.023481 Loss_G: 0.025790 Loss_D_real: -0.024322 Loss_D_fake -0.000841
[964/5000][285/535][99379] Loss_D: -0.023746 Loss_G: 0.001852 Loss_D_real: -0.011963 Loss_D_fake 0.011783
[964/5000][290/535][99380] Loss_D: -0.022705 Loss_G: 0.007515 Loss_D_real: -0.020606 Loss_D_fake 0.002099
[964/5000][295/535][99381] Loss_D: -0.023013 Loss_G: 0.024193 Loss_D_real: -0.034847 Loss_D_fake -0.011834
[964/5000][300/535][99382] Loss_D: -0.022082 Loss_G: 0.011802 Loss_D_real: -0.020370 Loss_D_fake 0.001712
[964/5000][305/535][99383] Loss_D: -0.023276 Loss_G: 0.004250 Loss_D_real: -0.019922 Loss_D_fake 0.003354
[964/5000][310/535][99384] Loss_D: -0.022627 Loss_G: 0.013641 Loss_D_real: -0.022448 Loss_D_fake 0.000179
[964/5000][315/535][99385] Loss_D: -0.023295 Loss_G: 0.007287 Loss_D_real: -0.026687 Loss_D_fake -0.003393
[964/5000][320/535][99386] Loss_D: -0.023253 Loss_G: -0.001203 Loss_D_real: -0.016246 Loss_D_fake 0.007007
[964/5000][325/535][99387] Loss_D: -0.021854 Loss_G: 0.014403 Loss_D_real: -0.022578 Loss_D_fake -0.000724
[964/5000][330/535][99388] Loss_D: -0.021576 Loss_G: 0.023068 Loss_D_real: -0.034225 Loss_D_fake -0.012650
[964/5000][335/535][99389] Loss_D: -0.022374 Loss_G: 0.009727 Loss_D_real: -0.032403 Loss_D_fake -0.010029
[964/5000][340/535][99390] Loss_D: -0.022914 Loss_G: 0.013517 Loss_D_real: -0.029912 Loss_D_fake -0.006999
[964/5000][345/535][99391] Loss_D: -0.022809 Loss_G: -0.003339 Loss_D_real: -0.022381 Loss_D_fake 0.000428
[964/5000][350/535][99392] Loss_D: -0.022053 Loss_G: 0.024759 Loss_D_real: -0.026365 Loss_D_fake -0.004312
[964/5000][355/535][99393] Loss_D: -0.022104 Loss_G: -0.001128 Loss_D_real: -0.018768 Loss_D_fake 0.003336
[964/5000][360/535][99394] Loss_D: -0.022638 Loss_G: 0.019947 Loss_D_real: -0.032925 Loss_D_fake -0.010287
[964/5000][365/535][99395] Loss_D: -0.022012 Loss_G: -0.013923 Loss_D_real: -0.000088 Loss_D_fake 0.021924
[964/5000][370/535][99396] Loss_D: -0.021748 Loss_G: -0.001147 Loss_D_real: -0.018214 Loss_D_fake 0.003533
[964/5000][375/535][99397] Loss_D: -0.021888 Loss_G: 0.020960 Loss_D_real: -0.026196 Loss_D_fake -0.004308
[964/5000][380/535][99398] Loss_D: -0.023944 Loss_G: 0.012188 Loss_D_real: -0.018926 Loss_D_fake 0.005018
[964/5000][385/535][99399] Loss_D: -0.023426 Loss_G: 0.011021 Loss_D_real: -0.020337 Loss_D_fake 0.003089
[964/5000][390/535][99400] Loss_D: -0.024493 Loss_G: -0.009341 Loss_D_real: -0.015355 Loss_D_fake 0.009138
[964/5000][395/535][99401] Loss_D: -0.022918 Loss_G: -0.000991 Loss_D_real: -0.021830 Loss_D_fake 0.001088
[964/5000][400/535][99402] Loss_D: -0.021236 Loss_G: 0.015517 Loss_D_real: -0.028624 Loss_D_fake -0.007388
[964/5000][405/535][99403] Loss_D: -0.021630 Loss_G: -0.017375 Loss_D_real: 0.002664 Loss_D_fake 0.024294
[964/5000][410/535][99404] Loss_D: -0.022656 Loss_G: 0.013057 Loss_D_real: -0.019722 Loss_D_fake 0.002935
[964/5000][415/535][99405] Loss_D: -0.023136 Loss_G: 0.006151 Loss_D_real: -0.026318 Loss_D_fake -0.003182
[964/5000][420/535][99406] Loss_D: -0.022525 Loss_G: -0.010525 Loss_D_real: -0.003043 Loss_D_fake 0.019483
[964/5000][425/535][99407] Loss_D: -0.022835 Loss_G: -0.003135 Loss_D_real: -0.012790 Loss_D_fake 0.010045
[964/5000][430/535][99408] Loss_D: -0.022380 Loss_G: 0.006436 Loss_D_real: -0.012826 Loss_D_fake 0.009554
[964/5000][435/535][99409] Loss_D: -0.021027 Loss_G: 0.018884 Loss_D_real: -0.019909 Loss_D_fake 0.001118
[964/5000][440/535][99410] Loss_D: -0.021863 Loss_G: 0.001452 Loss_D_real: -0.013052 Loss_D_fake 0.008811
[964/5000][445/535][99411] Loss_D: -0.021976 Loss_G: 0.006565 Loss_D_real: -0.020767 Loss_D_fake 0.001208
[964/5000][450/535][99412] Loss_D: -0.021969 Loss_G: 0.005620 Loss_D_real: -0.019800 Loss_D_fake 0.002170
[964/5000][455/535][99413] Loss_D: -0.024440 Loss_G: 0.010618 Loss_D_real: -0.021447 Loss_D_fake 0.002993
[964/5000][460/535][99414] Loss_D: -0.022428 Loss_G: -0.006914 Loss_D_real: -0.023818 Loss_D_fake -0.001391
[964/5000][465/535][99415] Loss_D: -0.022147 Loss_G: 0.022512 Loss_D_real: -0.032368 Loss_D_fake -0.010221
[964/5000][470/535][99416] Loss_D: -0.023346 Loss_G: 0.012713 Loss_D_real: -0.026141 Loss_D_fake -0.002796
[964/5000][475/535][99417] Loss_D: -0.024409 Loss_G: 0.012122 Loss_D_real: -0.018032 Loss_D_fake 0.006378
[964/5000][480/535][99418] Loss_D: -0.022164 Loss_G: 0.017294 Loss_D_real: -0.016506 Loss_D_fake 0.005658
[964/5000][485/535][99419] Loss_D: -0.021687 Loss_G: 0.012835 Loss_D_real: -0.028596 Loss_D_fake -0.006909
[964/5000][490/535][99420] Loss_D: -0.023927 Loss_G: -0.010848 Loss_D_real: -0.008631 Loss_D_fake 0.015296
[964/5000][495/535][99421] Loss_D: -0.021802 Loss_G: 0.028909 Loss_D_real: -0.033070 Loss_D_fake -0.011267
[964/5000][500/535][99422] Loss_D: -0.023563 Loss_G: 0.002479 Loss_D_real: -0.015594 Loss_D_fake 0.007969
[964/5000][505/535][99423] Loss_D: -0.023450 Loss_G: 0.016788 Loss_D_real: -0.029406 Loss_D_fake -0.005957
[964/5000][510/535][99424] Loss_D: -0.022864 Loss_G: 0.013713 Loss_D_real: -0.028101 Loss_D_fake -0.005237
[964/5000][515/535][99425] Loss_D: -0.022485 Loss_G: 0.004050 Loss_D_real: -0.014081 Loss_D_fake 0.008404
[964/5000][520/535][99426] Loss_D: -0.022271 Loss_G: 0.008298 Loss_D_real: -0.018808 Loss_D_fake 0.003463
[964/5000][525/535][99427] Loss_D: -0.024068 Loss_G: 0.011277 Loss_D_real: -0.019930 Loss_D_fake 0.004138
[964/5000][530/535][99428] Loss_D: -0.022382 Loss_G: 0.016791 Loss_D_real: -0.016680 Loss_D_fake 0.005701
[964/5000][535/535][99429] Loss_D: -0.024065 Loss_G: 0.006648 Loss_D_real: -0.034347 Loss_D_fake -0.010282
[965/5000][5/535][99430] Loss_D: -0.022252 Loss_G: -0.010131 Loss_D_real: -0.008203 Loss_D_fake 0.014048
[965/5000][10/535][99431] Loss_D: -0.021498 Loss_G: -0.015041 Loss_D_real: 0.000369 Loss_D_fake 0.021867
[965/5000][15/535][99432] Loss_D: -0.021834 Loss_G: 0.000119 Loss_D_real: -0.003928 Loss_D_fake 0.017906
[965/5000][20/535][99433] Loss_D: -0.021804 Loss_G: 0.009738 Loss_D_real: -0.018608 Loss_D_fake 0.003196
[965/5000][25/535][99434] Loss_D: -0.022612 Loss_G: 0.009285 Loss_D_real: -0.019351 Loss_D_fake 0.003262
[965/5000][30/535][99435] Loss_D: -0.022505 Loss_G: 0.009730 Loss_D_real: -0.009282 Loss_D_fake 0.013223
[965/5000][35/535][99436] Loss_D: -0.022102 Loss_G: 0.001604 Loss_D_real: -0.012119 Loss_D_fake 0.009983
[965/5000][40/535][99437] Loss_D: -0.023372 Loss_G: 0.005423 Loss_D_real: -0.023634 Loss_D_fake -0.000262
[965/5000][45/535][99438] Loss_D: -0.022639 Loss_G: -0.011051 Loss_D_real: -0.006051 Loss_D_fake 0.016588
[965/5000][50/535][99439] Loss_D: -0.019372 Loss_G: 0.024039 Loss_D_real: -0.040973 Loss_D_fake -0.021600
[965/5000][55/535][99440] Loss_D: -0.024134 Loss_G: 0.007953 Loss_D_real: -0.018589 Loss_D_fake 0.005545
[965/5000][60/535][99441] Loss_D: -0.022840 Loss_G: 0.019510 Loss_D_real: -0.018285 Loss_D_fake 0.004555
[965/5000][65/535][99442] Loss_D: -0.023261 Loss_G: -0.008470 Loss_D_real: -0.004215 Loss_D_fake 0.019046
[965/5000][70/535][99443] Loss_D: -0.022440 Loss_G: 0.007596 Loss_D_real: -0.025230 Loss_D_fake -0.002789
[965/5000][75/535][99444] Loss_D: -0.022541 Loss_G: 0.017404 Loss_D_real: -0.030170 Loss_D_fake -0.007629
[965/5000][80/535][99445] Loss_D: -0.022614 Loss_G: 0.009690 Loss_D_real: -0.013294 Loss_D_fake 0.009321
[965/5000][85/535][99446] Loss_D: -0.023379 Loss_G: 0.002827 Loss_D_real: -0.008641 Loss_D_fake 0.014738
[965/5000][90/535][99447] Loss_D: -0.023474 Loss_G: -0.002092 Loss_D_real: -0.018703 Loss_D_fake 0.004771
[965/5000][95/535][99448] Loss_D: -0.022915 Loss_G: 0.018368 Loss_D_real: -0.024248 Loss_D_fake -0.001333
[965/5000][100/535][99449] Loss_D: -0.023277 Loss_G: -0.006780 Loss_D_real: -0.009782 Loss_D_fake 0.013495
[965/5000][105/535][99450] Loss_D: -0.022891 Loss_G: 0.009418 Loss_D_real: -0.016345 Loss_D_fake 0.006546
[965/5000][110/535][99451] Loss_D: -0.023106 Loss_G: -0.005138 Loss_D_real: -0.017587 Loss_D_fake 0.005519
[965/5000][115/535][99452] Loss_D: -0.023178 Loss_G: 0.010438 Loss_D_real: -0.022171 Loss_D_fake 0.001007
[965/5000][120/535][99453] Loss_D: -0.023715 Loss_G: 0.018782 Loss_D_real: -0.017028 Loss_D_fake 0.006687
[965/5000][125/535][99454] Loss_D: -0.022419 Loss_G: 0.009214 Loss_D_real: -0.029343 Loss_D_fake -0.006924
[965/5000][130/535][99455] Loss_D: -0.022840 Loss_G: 0.008253 Loss_D_real: -0.024345 Loss_D_fake -0.001505
[965/5000][135/535][99456] Loss_D: -0.022422 Loss_G: 0.001334 Loss_D_real: -0.012187 Loss_D_fake 0.010236
[965/5000][140/535][99457] Loss_D: -0.022601 Loss_G: 0.009906 Loss_D_real: -0.023292 Loss_D_fake -0.000691
[965/5000][145/535][99458] Loss_D: -0.021904 Loss_G: -0.006210 Loss_D_real: -0.006134 Loss_D_fake 0.015770
[965/5000][150/535][99459] Loss_D: -0.022059 Loss_G: 0.022993 Loss_D_real: -0.022678 Loss_D_fake -0.000619
[965/5000][155/535][99460] Loss_D: -0.023260 Loss_G: 0.022028 Loss_D_real: -0.037931 Loss_D_fake -0.014671
[965/5000][160/535][99461] Loss_D: -0.023842 Loss_G: 0.003309 Loss_D_real: -0.007557 Loss_D_fake 0.016284
[965/5000][165/535][99462] Loss_D: -0.022385 Loss_G: 0.002322 Loss_D_real: -0.020921 Loss_D_fake 0.001465
[965/5000][170/535][99463] Loss_D: -0.023516 Loss_G: 0.005746 Loss_D_real: -0.023771 Loss_D_fake -0.000254
[965/5000][175/535][99464] Loss_D: -0.023248 Loss_G: 0.005344 Loss_D_real: -0.021200 Loss_D_fake 0.002048
[965/5000][180/535][99465] Loss_D: -0.023167 Loss_G: -0.013122 Loss_D_real: -0.015810 Loss_D_fake 0.007357
[965/5000][185/535][99466] Loss_D: -0.021957 Loss_G: 0.017849 Loss_D_real: -0.020854 Loss_D_fake 0.001103
[965/5000][190/535][99467] Loss_D: -0.022909 Loss_G: -0.013594 Loss_D_real: -0.003888 Loss_D_fake 0.019022
[965/5000][195/535][99468] Loss_D: -0.023504 Loss_G: 0.016451 Loss_D_real: -0.017505 Loss_D_fake 0.005999
[965/5000][200/535][99469] Loss_D: -0.023044 Loss_G: 0.013990 Loss_D_real: -0.025583 Loss_D_fake -0.002540
[965/5000][205/535][99470] Loss_D: -0.023589 Loss_G: 0.012926 Loss_D_real: -0.030655 Loss_D_fake -0.007066
[965/5000][210/535][99471] Loss_D: -0.024295 Loss_G: 0.005067 Loss_D_real: -0.016291 Loss_D_fake 0.008004
[965/5000][215/535][99472] Loss_D: -0.022545 Loss_G: 0.021625 Loss_D_real: -0.023474 Loss_D_fake -0.000929
[965/5000][220/535][99473] Loss_D: -0.023147 Loss_G: 0.008233 Loss_D_real: -0.017438 Loss_D_fake 0.005709
[965/5000][225/535][99474] Loss_D: -0.022965 Loss_G: 0.006633 Loss_D_real: -0.010895 Loss_D_fake 0.012070
[965/5000][230/535][99475] Loss_D: -0.022819 Loss_G: 0.013210 Loss_D_real: -0.014973 Loss_D_fake 0.007847
[965/5000][235/535][99476] Loss_D: -0.022860 Loss_G: -0.009851 Loss_D_real: -0.007746 Loss_D_fake 0.015114
[965/5000][240/535][99477] Loss_D: -0.024199 Loss_G: 0.003279 Loss_D_real: -0.018725 Loss_D_fake 0.005474
[965/5000][245/535][99478] Loss_D: -0.022212 Loss_G: 0.012411 Loss_D_real: -0.024445 Loss_D_fake -0.002233
[965/5000][250/535][99479] Loss_D: -0.023929 Loss_G: 0.017000 Loss_D_real: -0.022328 Loss_D_fake 0.001601
[965/5000][255/535][99480] Loss_D: -0.022862 Loss_G: 0.006218 Loss_D_real: -0.023154 Loss_D_fake -0.000292
[965/5000][260/535][99481] Loss_D: -0.021564 Loss_G: -0.021113 Loss_D_real: 0.000252 Loss_D_fake 0.021816
[965/5000][265/535][99482] Loss_D: -0.022105 Loss_G: -0.001262 Loss_D_real: -0.016399 Loss_D_fake 0.005706
[965/5000][270/535][99483] Loss_D: -0.022208 Loss_G: -0.001615 Loss_D_real: -0.013255 Loss_D_fake 0.008953
[965/5000][275/535][99484] Loss_D: -0.021642 Loss_G: 0.018890 Loss_D_real: -0.025585 Loss_D_fake -0.003943
[965/5000][280/535][99485] Loss_D: -0.022966 Loss_G: -0.005952 Loss_D_real: -0.008840 Loss_D_fake 0.014126
[965/5000][285/535][99486] Loss_D: -0.023726 Loss_G: 0.024470 Loss_D_real: -0.029804 Loss_D_fake -0.006078
[965/5000][290/535][99487] Loss_D: -0.022250 Loss_G: 0.005088 Loss_D_real: -0.014833 Loss_D_fake 0.007416
[965/5000][295/535][99488] Loss_D: -0.023027 Loss_G: 0.010230 Loss_D_real: -0.021112 Loss_D_fake 0.001915
[965/5000][300/535][99489] Loss_D: -0.022993 Loss_G: 0.028338 Loss_D_real: -0.033545 Loss_D_fake -0.010552
[965/5000][305/535][99490] Loss_D: -0.021748 Loss_G: -0.011555 Loss_D_real: -0.010904 Loss_D_fake 0.010843
[965/5000][310/535][99491] Loss_D: -0.023040 Loss_G: 0.017515 Loss_D_real: -0.020534 Loss_D_fake 0.002506
[965/5000][315/535][99492] Loss_D: -0.020308 Loss_G: 0.026941 Loss_D_real: -0.028800 Loss_D_fake -0.008491
[965/5000][320/535][99493] Loss_D: -0.022415 Loss_G: 0.005316 Loss_D_real: -0.020523 Loss_D_fake 0.001892
[965/5000][325/535][99494] Loss_D: -0.021479 Loss_G: 0.009596 Loss_D_real: -0.020007 Loss_D_fake 0.001472
[965/5000][330/535][99495] Loss_D: -0.023496 Loss_G: 0.002579 Loss_D_real: -0.021790 Loss_D_fake 0.001706
[965/5000][335/535][99496] Loss_D: -0.022952 Loss_G: 0.007104 Loss_D_real: -0.027337 Loss_D_fake -0.004385
[965/5000][340/535][99497] Loss_D: -0.021427 Loss_G: -0.012340 Loss_D_real: 0.006504 Loss_D_fake 0.027931
[965/5000][345/535][99498] Loss_D: -0.022074 Loss_G: -0.001824 Loss_D_real: -0.026264 Loss_D_fake -0.004190
[965/5000][350/535][99499] Loss_D: -0.021791 Loss_G: -0.001156 Loss_D_real: -0.007419 Loss_D_fake 0.014373
[965/5000][355/535][99500] Loss_D: -0.020927 Loss_G: 0.007671 Loss_D_real: -0.029315 Loss_D_fake -0.008388
[965/5000][455/535][99501] Loss_D: -0.024645 Loss_G: -0.019880 Loss_D_real: -0.000673 Loss_D_fake 0.023972
[965/5000][460/535][99502] Loss_D: -0.022188 Loss_G: 0.014943 Loss_D_real: -0.009372 Loss_D_fake 0.012816
[965/5000][465/535][99503] Loss_D: -0.021175 Loss_G: 0.001250 Loss_D_real: 0.004571 Loss_D_fake 0.025747
[965/5000][470/535][99504] Loss_D: -0.021550 Loss_G: 0.012238 Loss_D_real: -0.018892 Loss_D_fake 0.002659
[965/5000][475/535][99505] Loss_D: -0.021332 Loss_G: 0.002350 Loss_D_real: -0.022528 Loss_D_fake -0.001196
[965/5000][480/535][99506] Loss_D: -0.021541 Loss_G: 0.003150 Loss_D_real: -0.019230 Loss_D_fake 0.002311
[965/5000][485/535][99507] Loss_D: -0.021366 Loss_G: 0.010520 Loss_D_real: -0.021151 Loss_D_fake 0.000215
[965/5000][490/535][99508] Loss_D: -0.022662 Loss_G: 0.010442 Loss_D_real: -0.030437 Loss_D_fake -0.007775
[965/5000][495/535][99509] Loss_D: -0.021700 Loss_G: 0.010702 Loss_D_real: -0.021443 Loss_D_fake 0.000256
[965/5000][500/535][99510] Loss_D: -0.022389 Loss_G: -0.002522 Loss_D_real: -0.015287 Loss_D_fake 0.007103
[965/5000][505/535][99511] Loss_D: -0.021447 Loss_G: -0.005299 Loss_D_real: -0.005196 Loss_D_fake 0.016251
[965/5000][510/535][99512] Loss_D: -0.021501 Loss_G: -0.000840 Loss_D_real: -0.007946 Loss_D_fake 0.013555
[965/5000][515/535][99513] Loss_D: -0.021457 Loss_G: 0.007910 Loss_D_real: -0.019593 Loss_D_fake 0.001864
[965/5000][520/535][99514] Loss_D: -0.022947 Loss_G: 0.020999 Loss_D_real: -0.021327 Loss_D_fake 0.001620
[965/5000][525/535][99515] Loss_D: -0.022280 Loss_G: 0.007627 Loss_D_real: -0.013045 Loss_D_fake 0.009235
[965/5000][530/535][99516] Loss_D: -0.023187 Loss_G: 0.000239 Loss_D_real: -0.011575 Loss_D_fake 0.011612
[965/5000][535/535][99517] Loss_D: -0.020776 Loss_G: -0.009021 Loss_D_real: -0.014347 Loss_D_fake 0.006429
[966/5000][5/535][99518] Loss_D: -0.023818 Loss_G: 0.008031 Loss_D_real: -0.026553 Loss_D_fake -0.002735
[966/5000][10/535][99519] Loss_D: -0.023051 Loss_G: 0.003356 Loss_D_real: -0.012911 Loss_D_fake 0.010140
[966/5000][15/535][99520] Loss_D: -0.021475 Loss_G: -0.014963 Loss_D_real: -0.002605 Loss_D_fake 0.018870
[966/5000][20/535][99521] Loss_D: -0.022270 Loss_G: 0.002820 Loss_D_real: -0.023698 Loss_D_fake -0.001428
[966/5000][25/535][99522] Loss_D: -0.022585 Loss_G: 0.003363 Loss_D_real: -0.022922 Loss_D_fake -0.000338
[966/5000][30/535][99523] Loss_D: -0.021140 Loss_G: 0.012564 Loss_D_real: -0.023686 Loss_D_fake -0.002546
[966/5000][35/535][99524] Loss_D: -0.021192 Loss_G: 0.003653 Loss_D_real: -0.010400 Loss_D_fake 0.010793
[966/5000][40/535][99525] Loss_D: -0.022107 Loss_G: -0.000440 Loss_D_real: -0.019285 Loss_D_fake 0.002823
[966/5000][45/535][99526] Loss_D: -0.024105 Loss_G: 0.017967 Loss_D_real: -0.020463 Loss_D_fake 0.003642
[966/5000][50/535][99527] Loss_D: -0.024541 Loss_G: 0.018627 Loss_D_real: -0.024471 Loss_D_fake 0.000070
[966/5000][55/535][99528] Loss_D: -0.023265 Loss_G: -0.008636 Loss_D_real: -0.018241 Loss_D_fake 0.005024
[966/5000][60/535][99529] Loss_D: -0.023401 Loss_G: -0.005289 Loss_D_real: -0.008530 Loss_D_fake 0.014871
[966/5000][65/535][99530] Loss_D: -0.022876 Loss_G: 0.017783 Loss_D_real: -0.033607 Loss_D_fake -0.010731
[966/5000][70/535][99531] Loss_D: -0.022816 Loss_G: 0.022779 Loss_D_real: -0.027505 Loss_D_fake -0.004689
[966/5000][75/535][99532] Loss_D: -0.022362 Loss_G: 0.000221 Loss_D_real: -0.006499 Loss_D_fake 0.015863
[966/5000][80/535][99533] Loss_D: -0.023030 Loss_G: 0.009900 Loss_D_real: -0.027462 Loss_D_fake -0.004432
[966/5000][85/535][99534] Loss_D: -0.024290 Loss_G: 0.003942 Loss_D_real: -0.014235 Loss_D_fake 0.010055
[966/5000][90/535][99535] Loss_D: -0.022891 Loss_G: 0.016427 Loss_D_real: -0.028568 Loss_D_fake -0.005677
[966/5000][95/535][99536] Loss_D: -0.022109 Loss_G: 0.018385 Loss_D_real: -0.026770 Loss_D_fake -0.004661
[966/5000][100/535][99537] Loss_D: -0.021954 Loss_G: 0.008116 Loss_D_real: -0.017075 Loss_D_fake 0.004879
[966/5000][105/535][99538] Loss_D: -0.023976 Loss_G: 0.000431 Loss_D_real: -0.013489 Loss_D_fake 0.010488
[966/5000][110/535][99539] Loss_D: -0.022683 Loss_G: 0.013292 Loss_D_real: -0.016141 Loss_D_fake 0.006542
[966/5000][115/535][99540] Loss_D: -0.020858 Loss_G: 0.002867 Loss_D_real: -0.006515 Loss_D_fake 0.014343
[966/5000][120/535][99541] Loss_D: -0.022070 Loss_G: 0.007310 Loss_D_real: -0.021063 Loss_D_fake 0.001007
[966/5000][125/535][99542] Loss_D: -0.023470 Loss_G: 0.013588 Loss_D_real: -0.020328 Loss_D_fake 0.003142
[966/5000][130/535][99543] Loss_D: -0.023830 Loss_G: 0.017304 Loss_D_real: -0.024707 Loss_D_fake -0.000877
[966/5000][135/535][99544] Loss_D: -0.022568 Loss_G: 0.014856 Loss_D_real: -0.026248 Loss_D_fake -0.003680
[966/5000][140/535][99545] Loss_D: -0.020358 Loss_G: 0.029832 Loss_D_real: -0.030779 Loss_D_fake -0.010422
[966/5000][145/535][99546] Loss_D: -0.022043 Loss_G: 0.010393 Loss_D_real: -0.029854 Loss_D_fake -0.007811
[966/5000][150/535][99547] Loss_D: -0.022966 Loss_G: 0.004652 Loss_D_real: -0.026299 Loss_D_fake -0.003333
[966/5000][155/535][99548] Loss_D: -0.022405 Loss_G: 0.005360 Loss_D_real: -0.010948 Loss_D_fake 0.011457
[966/5000][160/535][99549] Loss_D: -0.022341 Loss_G: 0.021954 Loss_D_real: -0.026878 Loss_D_fake -0.004537
[966/5000][165/535][99550] Loss_D: -0.023171 Loss_G: -0.014087 Loss_D_real: -0.008194 Loss_D_fake 0.014977
[966/5000][170/535][99551] Loss_D: -0.022873 Loss_G: 0.011705 Loss_D_real: -0.020638 Loss_D_fake 0.002235
[966/5000][175/535][99552] Loss_D: -0.022431 Loss_G: 0.015935 Loss_D_real: -0.033868 Loss_D_fake -0.011437
[966/5000][180/535][99553] Loss_D: -0.023854 Loss_G: -0.011630 Loss_D_real: -0.006439 Loss_D_fake 0.017415
[966/5000][185/535][99554] Loss_D: -0.023518 Loss_G: 0.011230 Loss_D_real: -0.027953 Loss_D_fake -0.004435
[966/5000][190/535][99555] Loss_D: -0.022461 Loss_G: 0.021202 Loss_D_real: -0.035037 Loss_D_fake -0.012576
[966/5000][195/535][99556] Loss_D: -0.024127 Loss_G: 0.009619 Loss_D_real: -0.016433 Loss_D_fake 0.007694
[966/5000][200/535][99557] Loss_D: -0.021917 Loss_G: 0.017236 Loss_D_real: -0.029473 Loss_D_fake -0.007556
[966/5000][205/535][99558] Loss_D: -0.022857 Loss_G: -0.003831 Loss_D_real: -0.014332 Loss_D_fake 0.008525
[966/5000][210/535][99559] Loss_D: -0.024214 Loss_G: 0.014788 Loss_D_real: -0.020416 Loss_D_fake 0.003798
[966/5000][215/535][99560] Loss_D: -0.023819 Loss_G: 0.020495 Loss_D_real: -0.021339 Loss_D_fake 0.002480
[966/5000][220/535][99561] Loss_D: -0.023376 Loss_G: -0.005273 Loss_D_real: -0.014622 Loss_D_fake 0.008754
[966/5000][225/535][99562] Loss_D: -0.022757 Loss_G: 0.006269 Loss_D_real: -0.009601 Loss_D_fake 0.013156
[966/5000][230/535][99563] Loss_D: -0.022497 Loss_G: -0.008650 Loss_D_real: -0.010819 Loss_D_fake 0.011678
[966/5000][235/535][99564] Loss_D: -0.022793 Loss_G: 0.001138 Loss_D_real: -0.015754 Loss_D_fake 0.007039
[966/5000][240/535][99565] Loss_D: -0.021884 Loss_G: 0.013797 Loss_D_real: -0.029009 Loss_D_fake -0.007125
[966/5000][245/535][99566] Loss_D: -0.022995 Loss_G: -0.000856 Loss_D_real: -0.012040 Loss_D_fake 0.010954
[966/5000][250/535][99567] Loss_D: -0.022642 Loss_G: 0.021829 Loss_D_real: -0.036137 Loss_D_fake -0.013496
[966/5000][255/535][99568] Loss_D: -0.022678 Loss_G: 0.007431 Loss_D_real: -0.013346 Loss_D_fake 0.009332
[966/5000][260/535][99569] Loss_D: -0.023275 Loss_G: 0.015429 Loss_D_real: -0.029792 Loss_D_fake -0.006517
[966/5000][265/535][99570] Loss_D: -0.022275 Loss_G: -0.016119 Loss_D_real: -0.007563 Loss_D_fake 0.014712
[966/5000][270/535][99571] Loss_D: -0.023248 Loss_G: 0.011541 Loss_D_real: -0.020941 Loss_D_fake 0.002307
[966/5000][275/535][99572] Loss_D: -0.022761 Loss_G: -0.003736 Loss_D_real: -0.005324 Loss_D_fake 0.017437
[966/5000][280/535][99573] Loss_D: -0.022052 Loss_G: -0.000894 Loss_D_real: -0.003923 Loss_D_fake 0.018128
[966/5000][285/535][99574] Loss_D: -0.023102 Loss_G: -0.003845 Loss_D_real: -0.013100 Loss_D_fake 0.010002
[966/5000][290/535][99575] Loss_D: -0.022320 Loss_G: 0.001181 Loss_D_real: -0.026174 Loss_D_fake -0.003855
[966/5000][295/535][99576] Loss_D: -0.023176 Loss_G: 0.001700 Loss_D_real: -0.020563 Loss_D_fake 0.002612
[966/5000][300/535][99577] Loss_D: -0.023654 Loss_G: 0.000711 Loss_D_real: -0.006675 Loss_D_fake 0.016979
[966/5000][305/535][99578] Loss_D: -0.022302 Loss_G: 0.011950 Loss_D_real: -0.027529 Loss_D_fake -0.005227
[966/5000][310/535][99579] Loss_D: -0.021975 Loss_G: 0.007455 Loss_D_real: -0.030125 Loss_D_fake -0.008151
[966/5000][315/535][99580] Loss_D: -0.022682 Loss_G: -0.003044 Loss_D_real: -0.010656 Loss_D_fake 0.012027
[966/5000][320/535][99581] Loss_D: -0.022370 Loss_G: 0.026910 Loss_D_real: -0.032445 Loss_D_fake -0.010075
[966/5000][325/535][99582] Loss_D: -0.021797 Loss_G: 0.021341 Loss_D_real: -0.029774 Loss_D_fake -0.007977
[966/5000][330/535][99583] Loss_D: -0.022633 Loss_G: -0.004552 Loss_D_real: -0.007544 Loss_D_fake 0.015089
[966/5000][335/535][99584] Loss_D: -0.021287 Loss_G: 0.016953 Loss_D_real: -0.021596 Loss_D_fake -0.000309
[966/5000][340/535][99585] Loss_D: -0.022812 Loss_G: 0.011781 Loss_D_real: -0.024178 Loss_D_fake -0.001366
[966/5000][345/535][99586] Loss_D: -0.022397 Loss_G: 0.005619 Loss_D_real: -0.012463 Loss_D_fake 0.009935
[966/5000][350/535][99587] Loss_D: -0.022802 Loss_G: 0.011459 Loss_D_real: -0.021728 Loss_D_fake 0.001074
[966/5000][355/535][99588] Loss_D: -0.023036 Loss_G: 0.014601 Loss_D_real: -0.030369 Loss_D_fake -0.007333
[966/5000][360/535][99589] Loss_D: -0.022951 Loss_G: 0.018854 Loss_D_real: -0.029575 Loss_D_fake -0.006624
[966/5000][365/535][99590] Loss_D: -0.023435 Loss_G: 0.000639 Loss_D_real: -0.011967 Loss_D_fake 0.011468
[966/5000][370/535][99591] Loss_D: -0.023184 Loss_G: 0.009124 Loss_D_real: -0.029114 Loss_D_fake -0.005930
[966/5000][375/535][99592] Loss_D: -0.021527 Loss_G: 0.013616 Loss_D_real: -0.014585 Loss_D_fake 0.006942
[966/5000][380/535][99593] Loss_D: -0.023610 Loss_G: -0.004133 Loss_D_real: -0.005654 Loss_D_fake 0.017956
[966/5000][385/535][99594] Loss_D: -0.022306 Loss_G: 0.018093 Loss_D_real: -0.027562 Loss_D_fake -0.005256
[966/5000][390/535][99595] Loss_D: -0.022139 Loss_G: 0.009006 Loss_D_real: -0.030408 Loss_D_fake -0.008270
[966/5000][395/535][99596] Loss_D: -0.022203 Loss_G: -0.000916 Loss_D_real: -0.013779 Loss_D_fake 0.008424
[966/5000][400/535][99597] Loss_D: -0.022309 Loss_G: 0.017865 Loss_D_real: -0.023520 Loss_D_fake -0.001211
[966/5000][405/535][99598] Loss_D: -0.024372 Loss_G: -0.005865 Loss_D_real: -0.014834 Loss_D_fake 0.009538
[966/5000][410/535][99599] Loss_D: -0.023046 Loss_G: 0.010829 Loss_D_real: -0.012486 Loss_D_fake 0.010560
[966/5000][415/535][99600] Loss_D: -0.022608 Loss_G: -0.000302 Loss_D_real: -0.014422 Loss_D_fake 0.008186
[966/5000][420/535][99601] Loss_D: -0.022900 Loss_G: 0.007387 Loss_D_real: -0.021473 Loss_D_fake 0.001427
[966/5000][425/535][99602] Loss_D: -0.022354 Loss_G: -0.006802 Loss_D_real: -0.013637 Loss_D_fake 0.008717
[966/5000][430/535][99603] Loss_D: -0.022658 Loss_G: -0.003895 Loss_D_real: -0.002584 Loss_D_fake 0.020074
[966/5000][435/535][99604] Loss_D: -0.022618 Loss_G: 0.025892 Loss_D_real: -0.034273 Loss_D_fake -0.011654
[966/5000][440/535][99605] Loss_D: -0.022772 Loss_G: 0.004010 Loss_D_real: -0.023654 Loss_D_fake -0.000882
[966/5000][445/535][99606] Loss_D: -0.021899 Loss_G: -0.005229 Loss_D_real: -0.015170 Loss_D_fake 0.006729
[966/5000][450/535][99607] Loss_D: -0.022792 Loss_G: 0.004283 Loss_D_real: -0.026888 Loss_D_fake -0.004096
[966/5000][455/535][99608] Loss_D: -0.023037 Loss_G: -0.004501 Loss_D_real: -0.019178 Loss_D_fake 0.003859
[966/5000][460/535][99609] Loss_D: -0.021455 Loss_G: 0.013246 Loss_D_real: -0.020604 Loss_D_fake 0.000851
[966/5000][465/535][99610] Loss_D: -0.020856 Loss_G: 0.017218 Loss_D_real: -0.031010 Loss_D_fake -0.010154
[966/5000][470/535][99611] Loss_D: -0.023063 Loss_G: 0.016622 Loss_D_real: -0.025710 Loss_D_fake -0.002647
[966/5000][475/535][99612] Loss_D: -0.022922 Loss_G: -0.004453 Loss_D_real: -0.017772 Loss_D_fake 0.005150
[966/5000][480/535][99613] Loss_D: -0.023533 Loss_G: 0.017292 Loss_D_real: -0.017902 Loss_D_fake 0.005631
[966/5000][485/535][99614] Loss_D: -0.023552 Loss_G: -0.005439 Loss_D_real: -0.012254 Loss_D_fake 0.011298
[966/5000][490/535][99615] Loss_D: -0.024000 Loss_G: 0.011775 Loss_D_real: -0.024177 Loss_D_fake -0.000178
[966/5000][495/535][99616] Loss_D: -0.023177 Loss_G: 0.011865 Loss_D_real: -0.024610 Loss_D_fake -0.001433
[966/5000][500/535][99617] Loss_D: -0.022121 Loss_G: 0.031816 Loss_D_real: -0.033878 Loss_D_fake -0.011757
[966/5000][505/535][99618] Loss_D: -0.023894 Loss_G: -0.002560 Loss_D_real: -0.009309 Loss_D_fake 0.014586
[966/5000][510/535][99619] Loss_D: -0.022991 Loss_G: 0.002100 Loss_D_real: -0.024747 Loss_D_fake -0.001756
[966/5000][515/535][99620] Loss_D: -0.023871 Loss_G: -0.007483 Loss_D_real: -0.009582 Loss_D_fake 0.014289
[966/5000][520/535][99621] Loss_D: -0.022375 Loss_G: -0.007980 Loss_D_real: -0.007393 Loss_D_fake 0.014982
[966/5000][525/535][99622] Loss_D: -0.022710 Loss_G: -0.006599 Loss_D_real: -0.009645 Loss_D_fake 0.013065
[966/5000][530/535][99623] Loss_D: -0.021702 Loss_G: 0.009286 Loss_D_real: -0.019787 Loss_D_fake 0.001915
[966/5000][535/535][99624] Loss_D: -0.024075 Loss_G: -0.011472 Loss_D_real: -0.010375 Loss_D_fake 0.013700
[967/5000][5/535][99625] Loss_D: -0.021564 Loss_G: 0.005923 Loss_D_real: -0.023860 Loss_D_fake -0.002296
[967/5000][10/535][99626] Loss_D: -0.023220 Loss_G: 0.011864 Loss_D_real: -0.015990 Loss_D_fake 0.007230
[967/5000][15/535][99627] Loss_D: -0.021155 Loss_G: 0.016619 Loss_D_real: -0.034421 Loss_D_fake -0.013267
[967/5000][20/535][99628] Loss_D: -0.023178 Loss_G: 0.012796 Loss_D_real: -0.026296 Loss_D_fake -0.003118
[967/5000][25/535][99629] Loss_D: -0.023706 Loss_G: 0.002241 Loss_D_real: -0.020335 Loss_D_fake 0.003371
[967/5000][30/535][99630] Loss_D: -0.025258 Loss_G: 0.002481 Loss_D_real: -0.017456 Loss_D_fake 0.007802
[967/5000][35/535][99631] Loss_D: -0.021924 Loss_G: -0.014292 Loss_D_real: -0.002448 Loss_D_fake 0.019476
[967/5000][40/535][99632] Loss_D: -0.021852 Loss_G: 0.011833 Loss_D_real: -0.022694 Loss_D_fake -0.000842
[967/5000][45/535][99633] Loss_D: -0.023939 Loss_G: 0.008998 Loss_D_real: -0.024920 Loss_D_fake -0.000981
[967/5000][50/535][99634] Loss_D: -0.023820 Loss_G: 0.000947 Loss_D_real: -0.012193 Loss_D_fake 0.011626
[967/5000][55/535][99635] Loss_D: -0.022288 Loss_G: -0.011197 Loss_D_real: -0.004014 Loss_D_fake 0.018274
[967/5000][60/535][99636] Loss_D: -0.022733 Loss_G: 0.008480 Loss_D_real: -0.030170 Loss_D_fake -0.007437
[967/5000][65/535][99637] Loss_D: -0.022203 Loss_G: -0.012696 Loss_D_real: -0.004470 Loss_D_fake 0.017732
[967/5000][70/535][99638] Loss_D: -0.021957 Loss_G: 0.022247 Loss_D_real: -0.031452 Loss_D_fake -0.009496
[967/5000][75/535][99639] Loss_D: -0.022941 Loss_G: 0.000790 Loss_D_real: -0.011518 Loss_D_fake 0.011423
[967/5000][80/535][99640] Loss_D: -0.021545 Loss_G: 0.016516 Loss_D_real: -0.027537 Loss_D_fake -0.005992
[967/5000][85/535][99641] Loss_D: -0.022927 Loss_G: 0.016493 Loss_D_real: -0.026607 Loss_D_fake -0.003680
[967/5000][90/535][99642] Loss_D: -0.024300 Loss_G: 0.011909 Loss_D_real: -0.024996 Loss_D_fake -0.000696
[967/5000][95/535][99643] Loss_D: -0.022351 Loss_G: 0.001623 Loss_D_real: -0.012889 Loss_D_fake 0.009462
[967/5000][100/535][99644] Loss_D: -0.023169 Loss_G: 0.010169 Loss_D_real: -0.024547 Loss_D_fake -0.001377
[967/5000][105/535][99645] Loss_D: -0.022878 Loss_G: -0.012320 Loss_D_real: -0.008874 Loss_D_fake 0.014004
[967/5000][110/535][99646] Loss_D: -0.022118 Loss_G: 0.018835 Loss_D_real: -0.028066 Loss_D_fake -0.005948
[967/5000][115/535][99647] Loss_D: -0.023157 Loss_G: 0.003528 Loss_D_real: -0.010171 Loss_D_fake 0.012986
[967/5000][120/535][99648] Loss_D: -0.022284 Loss_G: 0.016253 Loss_D_real: -0.025098 Loss_D_fake -0.002814
[967/5000][125/535][99649] Loss_D: -0.022783 Loss_G: 0.007577 Loss_D_real: -0.012603 Loss_D_fake 0.010180
[967/5000][130/535][99650] Loss_D: -0.022007 Loss_G: 0.004392 Loss_D_real: -0.020041 Loss_D_fake 0.001966
[967/5000][135/535][99651] Loss_D: -0.021313 Loss_G: 0.001024 Loss_D_real: -0.014892 Loss_D_fake 0.006421
[967/5000][140/535][99652] Loss_D: -0.021950 Loss_G: -0.005597 Loss_D_real: -0.002715 Loss_D_fake 0.019235
[967/5000][145/535][99653] Loss_D: -0.023155 Loss_G: 0.010599 Loss_D_real: -0.029192 Loss_D_fake -0.006038
[967/5000][150/535][99654] Loss_D: -0.023319 Loss_G: 0.014183 Loss_D_real: -0.024531 Loss_D_fake -0.001212
[967/5000][155/535][99655] Loss_D: -0.024448 Loss_G: 0.021126 Loss_D_real: -0.034567 Loss_D_fake -0.010119
[967/5000][160/535][99656] Loss_D: -0.022585 Loss_G: -0.004587 Loss_D_real: -0.015613 Loss_D_fake 0.006973
[967/5000][165/535][99657] Loss_D: -0.023849 Loss_G: -0.000272 Loss_D_real: -0.024036 Loss_D_fake -0.000187
[967/5000][170/535][99658] Loss_D: -0.024151 Loss_G: 0.003457 Loss_D_real: -0.016703 Loss_D_fake 0.007448
[967/5000][175/535][99659] Loss_D: -0.022102 Loss_G: 0.017108 Loss_D_real: -0.021919 Loss_D_fake 0.000183
[967/5000][180/535][99660] Loss_D: -0.022359 Loss_G: 0.008993 Loss_D_real: -0.022164 Loss_D_fake 0.000195
[967/5000][185/535][99661] Loss_D: -0.020609 Loss_G: 0.018336 Loss_D_real: -0.027717 Loss_D_fake -0.007108
[967/5000][190/535][99662] Loss_D: -0.021630 Loss_G: 0.000768 Loss_D_real: -0.014411 Loss_D_fake 0.007219
[967/5000][195/535][99663] Loss_D: -0.022833 Loss_G: 0.001014 Loss_D_real: -0.018760 Loss_D_fake 0.004073
[967/5000][200/535][99664] Loss_D: -0.021014 Loss_G: 0.018598 Loss_D_real: -0.032188 Loss_D_fake -0.011173
[967/5000][205/535][99665] Loss_D: -0.022499 Loss_G: 0.001656 Loss_D_real: -0.003734 Loss_D_fake 0.018765
[967/5000][210/535][99666] Loss_D: -0.022721 Loss_G: -0.002165 Loss_D_real: -0.015745 Loss_D_fake 0.006975
[967/5000][215/535][99667] Loss_D: -0.022131 Loss_G: 0.012322 Loss_D_real: -0.024682 Loss_D_fake -0.002551
[967/5000][220/535][99668] Loss_D: -0.022677 Loss_G: 0.023380 Loss_D_real: -0.033979 Loss_D_fake -0.011302
[967/5000][225/535][99669] Loss_D: -0.022828 Loss_G: 0.017465 Loss_D_real: -0.025259 Loss_D_fake -0.002431
[967/5000][230/535][99670] Loss_D: -0.023076 Loss_G: -0.010275 Loss_D_real: -0.005720 Loss_D_fake 0.017355
[967/5000][235/535][99671] Loss_D: -0.022460 Loss_G: 0.001602 Loss_D_real: -0.019172 Loss_D_fake 0.003288
[967/5000][240/535][99672] Loss_D: -0.022829 Loss_G: 0.007988 Loss_D_real: -0.021419 Loss_D_fake 0.001410
[967/5000][245/535][99673] Loss_D: -0.023819 Loss_G: 0.012801 Loss_D_real: -0.014363 Loss_D_fake 0.009456
[967/5000][250/535][99674] Loss_D: -0.023881 Loss_G: 0.024819 Loss_D_real: -0.029187 Loss_D_fake -0.005306
[967/5000][255/535][99675] Loss_D: -0.023876 Loss_G: 0.013675 Loss_D_real: -0.014705 Loss_D_fake 0.009171
[967/5000][260/535][99676] Loss_D: -0.023497 Loss_G: -0.001979 Loss_D_real: -0.010082 Loss_D_fake 0.013415
[967/5000][265/535][99677] Loss_D: -0.021532 Loss_G: 0.012510 Loss_D_real: -0.019657 Loss_D_fake 0.001876
[967/5000][270/535][99678] Loss_D: -0.022486 Loss_G: -0.000592 Loss_D_real: -0.016872 Loss_D_fake 0.005614
[967/5000][275/535][99679] Loss_D: -0.022793 Loss_G: 0.003378 Loss_D_real: -0.028396 Loss_D_fake -0.005603
[967/5000][280/535][99680] Loss_D: -0.023161 Loss_G: 0.025851 Loss_D_real: -0.033038 Loss_D_fake -0.009877
[967/5000][285/535][99681] Loss_D: -0.024522 Loss_G: 0.002593 Loss_D_real: -0.015043 Loss_D_fake 0.009478
[967/5000][290/535][99682] Loss_D: -0.022529 Loss_G: 0.013921 Loss_D_real: -0.029888 Loss_D_fake -0.007359
[967/5000][295/535][99683] Loss_D: -0.023551 Loss_G: 0.012636 Loss_D_real: -0.024993 Loss_D_fake -0.001442
[967/5000][300/535][99684] Loss_D: -0.024289 Loss_G: 0.007706 Loss_D_real: -0.014867 Loss_D_fake 0.009422
[967/5000][305/535][99685] Loss_D: -0.022787 Loss_G: -0.006950 Loss_D_real: -0.011084 Loss_D_fake 0.011703
[967/5000][310/535][99686] Loss_D: -0.023928 Loss_G: 0.001297 Loss_D_real: -0.012115 Loss_D_fake 0.011813
[967/5000][315/535][99687] Loss_D: -0.022793 Loss_G: 0.013388 Loss_D_real: -0.016666 Loss_D_fake 0.006126
[967/5000][320/535][99688] Loss_D: -0.024288 Loss_G: -0.000494 Loss_D_real: -0.014375 Loss_D_fake 0.009914
[967/5000][325/535][99689] Loss_D: -0.022298 Loss_G: 0.019756 Loss_D_real: -0.020975 Loss_D_fake 0.001323
[967/5000][330/535][99690] Loss_D: -0.022548 Loss_G: 0.032552 Loss_D_real: -0.034666 Loss_D_fake -0.012119
[967/5000][335/535][99691] Loss_D: -0.022853 Loss_G: -0.006831 Loss_D_real: -0.019158 Loss_D_fake 0.003695
[967/5000][340/535][99692] Loss_D: -0.023166 Loss_G: -0.000196 Loss_D_real: -0.013204 Loss_D_fake 0.009962
[967/5000][345/535][99693] Loss_D: -0.022989 Loss_G: 0.004631 Loss_D_real: -0.017840 Loss_D_fake 0.005150
[967/5000][350/535][99694] Loss_D: -0.022287 Loss_G: 0.026787 Loss_D_real: -0.027831 Loss_D_fake -0.005543
[967/5000][355/535][99695] Loss_D: -0.022122 Loss_G: 0.008600 Loss_D_real: -0.027544 Loss_D_fake -0.005422
[967/5000][360/535][99696] Loss_D: -0.022537 Loss_G: 0.008709 Loss_D_real: -0.002358 Loss_D_fake 0.020179
[967/5000][365/535][99697] Loss_D: -0.022140 Loss_G: -0.014419 Loss_D_real: -0.006888 Loss_D_fake 0.015252
[967/5000][370/535][99698] Loss_D: -0.022190 Loss_G: 0.013897 Loss_D_real: -0.020025 Loss_D_fake 0.002165
[967/5000][375/535][99699] Loss_D: -0.022607 Loss_G: -0.002927 Loss_D_real: -0.014963 Loss_D_fake 0.007644
[967/5000][380/535][99700] Loss_D: -0.023465 Loss_G: 0.000580 Loss_D_real: -0.014687 Loss_D_fake 0.008778
[967/5000][385/535][99701] Loss_D: -0.022513 Loss_G: 0.001978 Loss_D_real: -0.019611 Loss_D_fake 0.002902
[967/5000][390/535][99702] Loss_D: -0.020834 Loss_G: -0.014894 Loss_D_real: -0.001662 Loss_D_fake 0.019172
[967/5000][395/535][99703] Loss_D: -0.022657 Loss_G: 0.019271 Loss_D_real: -0.019703 Loss_D_fake 0.002954
[967/5000][400/535][99704] Loss_D: -0.022408 Loss_G: 0.030455 Loss_D_real: -0.030775 Loss_D_fake -0.008367
[967/5000][405/535][99705] Loss_D: -0.022090 Loss_G: -0.004995 Loss_D_real: -0.006809 Loss_D_fake 0.015280
[967/5000][410/535][99706] Loss_D: -0.021444 Loss_G: -0.002150 Loss_D_real: -0.007545 Loss_D_fake 0.013899
[967/5000][415/535][99707] Loss_D: -0.022135 Loss_G: 0.003659 Loss_D_real: -0.016161 Loss_D_fake 0.005974
[967/5000][420/535][99708] Loss_D: -0.023309 Loss_G: 0.010346 Loss_D_real: -0.019875 Loss_D_fake 0.003434
[967/5000][425/535][99709] Loss_D: -0.021950 Loss_G: 0.017371 Loss_D_real: -0.032773 Loss_D_fake -0.010823
[967/5000][430/535][99710] Loss_D: -0.023825 Loss_G: -0.000444 Loss_D_real: -0.009904 Loss_D_fake 0.013921
[967/5000][435/535][99711] Loss_D: -0.022371 Loss_G: 0.000989 Loss_D_real: -0.018687 Loss_D_fake 0.003685
[967/5000][440/535][99712] Loss_D: -0.022764 Loss_G: 0.014682 Loss_D_real: -0.022178 Loss_D_fake 0.000586
[967/5000][445/535][99713] Loss_D: -0.022907 Loss_G: -0.009635 Loss_D_real: -0.010628 Loss_D_fake 0.012280
[967/5000][450/535][99714] Loss_D: -0.022877 Loss_G: -0.007855 Loss_D_real: -0.020604 Loss_D_fake 0.002273
[967/5000][455/535][99715] Loss_D: -0.022856 Loss_G: 0.011161 Loss_D_real: -0.020311 Loss_D_fake 0.002545
[967/5000][460/535][99716] Loss_D: -0.024263 Loss_G: 0.009267 Loss_D_real: -0.018821 Loss_D_fake 0.005442
[967/5000][465/535][99717] Loss_D: -0.024773 Loss_G: -0.000429 Loss_D_real: -0.025889 Loss_D_fake -0.001115
[967/5000][470/535][99718] Loss_D: -0.024173 Loss_G: 0.011529 Loss_D_real: -0.018934 Loss_D_fake 0.005238
[967/5000][475/535][99719] Loss_D: -0.022660 Loss_G: 0.004466 Loss_D_real: -0.019088 Loss_D_fake 0.003572
[967/5000][480/535][99720] Loss_D: -0.022748 Loss_G: 0.018630 Loss_D_real: -0.032016 Loss_D_fake -0.009269
[967/5000][485/535][99721] Loss_D: -0.023274 Loss_G: -0.010469 Loss_D_real: -0.015460 Loss_D_fake 0.007814
[967/5000][490/535][99722] Loss_D: -0.022688 Loss_G: 0.024675 Loss_D_real: -0.033510 Loss_D_fake -0.010822
[967/5000][495/535][99723] Loss_D: -0.023129 Loss_G: -0.009200 Loss_D_real: -0.017295 Loss_D_fake 0.005835
[967/5000][500/535][99724] Loss_D: -0.022491 Loss_G: 0.016152 Loss_D_real: -0.026560 Loss_D_fake -0.004069
[967/5000][505/535][99725] Loss_D: -0.023211 Loss_G: 0.003826 Loss_D_real: -0.024086 Loss_D_fake -0.000875
[967/5000][510/535][99726] Loss_D: -0.022435 Loss_G: -0.001407 Loss_D_real: -0.010053 Loss_D_fake 0.012382
[967/5000][515/535][99727] Loss_D: -0.022216 Loss_G: 0.017266 Loss_D_real: -0.024054 Loss_D_fake -0.001838
[967/5000][520/535][99728] Loss_D: -0.023082 Loss_G: 0.018268 Loss_D_real: -0.031783 Loss_D_fake -0.008701
[967/5000][525/535][99729] Loss_D: -0.024158 Loss_G: -0.006981 Loss_D_real: -0.016024 Loss_D_fake 0.008134
[967/5000][530/535][99730] Loss_D: -0.022345 Loss_G: 0.010094 Loss_D_real: -0.016878 Loss_D_fake 0.005467
[967/5000][535/535][99731] Loss_D: -0.021594 Loss_G: 0.016507 Loss_D_real: -0.023994 Loss_D_fake -0.002400
[968/5000][5/535][99732] Loss_D: -0.022419 Loss_G: -0.000320 Loss_D_real: -0.015376 Loss_D_fake 0.007043
[968/5000][10/535][99733] Loss_D: -0.022781 Loss_G: 0.007709 Loss_D_real: -0.024024 Loss_D_fake -0.001243
[968/5000][15/535][99734] Loss_D: -0.023312 Loss_G: 0.019186 Loss_D_real: -0.027751 Loss_D_fake -0.004439
[968/5000][20/535][99735] Loss_D: -0.022603 Loss_G: 0.002389 Loss_D_real: -0.006400 Loss_D_fake 0.016203
[968/5000][25/535][99736] Loss_D: -0.022298 Loss_G: 0.010608 Loss_D_real: -0.021576 Loss_D_fake 0.000722
[968/5000][30/535][99737] Loss_D: -0.022366 Loss_G: 0.019715 Loss_D_real: -0.024363 Loss_D_fake -0.001997
[968/5000][35/535][99738] Loss_D: -0.022381 Loss_G: 0.009627 Loss_D_real: -0.019984 Loss_D_fake 0.002397
[968/5000][40/535][99739] Loss_D: -0.021852 Loss_G: -0.002834 Loss_D_real: -0.020308 Loss_D_fake 0.001544
[968/5000][45/535][99740] Loss_D: -0.022884 Loss_G: 0.013262 Loss_D_real: -0.028852 Loss_D_fake -0.005968
[968/5000][50/535][99741] Loss_D: -0.023718 Loss_G: 0.013863 Loss_D_real: -0.026035 Loss_D_fake -0.002317
[968/5000][55/535][99742] Loss_D: -0.023547 Loss_G: 0.016790 Loss_D_real: -0.029673 Loss_D_fake -0.006127
[968/5000][60/535][99743] Loss_D: -0.023614 Loss_G: 0.010357 Loss_D_real: -0.019066 Loss_D_fake 0.004548
[968/5000][65/535][99744] Loss_D: -0.023541 Loss_G: 0.029496 Loss_D_real: -0.025706 Loss_D_fake -0.002165
[968/5000][70/535][99745] Loss_D: -0.023333 Loss_G: 0.008381 Loss_D_real: -0.027501 Loss_D_fake -0.004169
[968/5000][75/535][99746] Loss_D: -0.023171 Loss_G: 0.004019 Loss_D_real: -0.020320 Loss_D_fake 0.002852
[968/5000][80/535][99747] Loss_D: -0.022901 Loss_G: 0.024834 Loss_D_real: -0.029637 Loss_D_fake -0.006736
[968/5000][85/535][99748] Loss_D: -0.022268 Loss_G: -0.007456 Loss_D_real: -0.005136 Loss_D_fake 0.017132
[968/5000][90/535][99749] Loss_D: -0.022556 Loss_G: -0.005764 Loss_D_real: -0.013897 Loss_D_fake 0.008660
[968/5000][95/535][99750] Loss_D: -0.023122 Loss_G: 0.004935 Loss_D_real: -0.021097 Loss_D_fake 0.002026
[968/5000][100/535][99751] Loss_D: -0.023099 Loss_G: -0.007855 Loss_D_real: -0.009629 Loss_D_fake 0.013470
[968/5000][105/535][99752] Loss_D: -0.021271 Loss_G: 0.024099 Loss_D_real: -0.043375 Loss_D_fake -0.022104
[968/5000][110/535][99753] Loss_D: -0.023237 Loss_G: -0.001044 Loss_D_real: -0.014533 Loss_D_fake 0.008704
[968/5000][115/535][99754] Loss_D: -0.023485 Loss_G: 0.011822 Loss_D_real: -0.017084 Loss_D_fake 0.006402
[968/5000][120/535][99755] Loss_D: -0.021169 Loss_G: -0.002667 Loss_D_real: -0.014703 Loss_D_fake 0.006466
[968/5000][125/535][99756] Loss_D: -0.021713 Loss_G: 0.005482 Loss_D_real: -0.030018 Loss_D_fake -0.008304
[968/5000][130/535][99757] Loss_D: -0.021669 Loss_G: 0.007857 Loss_D_real: -0.019800 Loss_D_fake 0.001870
[968/5000][135/535][99758] Loss_D: -0.023526 Loss_G: -0.000839 Loss_D_real: -0.019663 Loss_D_fake 0.003863
[968/5000][140/535][99759] Loss_D: -0.022546 Loss_G: 0.011332 Loss_D_real: -0.023946 Loss_D_fake -0.001400
[968/5000][145/535][99760] Loss_D: -0.022289 Loss_G: 0.004708 Loss_D_real: -0.011786 Loss_D_fake 0.010502
[968/5000][150/535][99761] Loss_D: -0.022059 Loss_G: 0.014430 Loss_D_real: -0.026931 Loss_D_fake -0.004872
[968/5000][155/535][99762] Loss_D: -0.022722 Loss_G: 0.002890 Loss_D_real: -0.013699 Loss_D_fake 0.009024
[968/5000][160/535][99763] Loss_D: -0.021166 Loss_G: 0.019787 Loss_D_real: -0.032024 Loss_D_fake -0.010858
[968/5000][165/535][99764] Loss_D: -0.022116 Loss_G: -0.014788 Loss_D_real: -0.005738 Loss_D_fake 0.016378
[968/5000][170/535][99765] Loss_D: -0.022592 Loss_G: 0.016872 Loss_D_real: -0.026247 Loss_D_fake -0.003655
[968/5000][175/535][99766] Loss_D: -0.023228 Loss_G: 0.012604 Loss_D_real: -0.015641 Loss_D_fake 0.007587
[968/5000][180/535][99767] Loss_D: -0.022494 Loss_G: 0.014301 Loss_D_real: -0.016417 Loss_D_fake 0.006077
[968/5000][185/535][99768] Loss_D: -0.024174 Loss_G: 0.004176 Loss_D_real: -0.006892 Loss_D_fake 0.017282
[968/5000][190/535][99769] Loss_D: -0.021235 Loss_G: -0.007030 Loss_D_real: -0.011317 Loss_D_fake 0.009918
[968/5000][195/535][99770] Loss_D: -0.023312 Loss_G: -0.007849 Loss_D_real: -0.014295 Loss_D_fake 0.009017
[968/5000][200/535][99771] Loss_D: -0.022111 Loss_G: 0.003628 Loss_D_real: -0.010793 Loss_D_fake 0.011319
[968/5000][205/535][99772] Loss_D: -0.023225 Loss_G: 0.011899 Loss_D_real: -0.020870 Loss_D_fake 0.002355
[968/5000][210/535][99773] Loss_D: -0.023111 Loss_G: 0.007268 Loss_D_real: -0.023279 Loss_D_fake -0.000168
[968/5000][215/535][99774] Loss_D: -0.022884 Loss_G: 0.005327 Loss_D_real: -0.006131 Loss_D_fake 0.016753
[968/5000][220/535][99775] Loss_D: -0.023656 Loss_G: 0.009550 Loss_D_real: -0.020987 Loss_D_fake 0.002668
[968/5000][225/535][99776] Loss_D: -0.023364 Loss_G: 0.017638 Loss_D_real: -0.025225 Loss_D_fake -0.001861
[968/5000][230/535][99777] Loss_D: -0.023393 Loss_G: 0.013862 Loss_D_real: -0.034669 Loss_D_fake -0.011276
[968/5000][235/535][99778] Loss_D: -0.023908 Loss_G: -0.011647 Loss_D_real: -0.012531 Loss_D_fake 0.011377
[968/5000][240/535][99779] Loss_D: -0.023527 Loss_G: 0.005395 Loss_D_real: -0.023361 Loss_D_fake 0.000166
[968/5000][245/535][99780] Loss_D: -0.023065 Loss_G: 0.013374 Loss_D_real: -0.030911 Loss_D_fake -0.007846
[968/5000][250/535][99781] Loss_D: -0.022199 Loss_G: 0.000304 Loss_D_real: -0.006528 Loss_D_fake 0.015671
[968/5000][255/535][99782] Loss_D: -0.024072 Loss_G: 0.006315 Loss_D_real: -0.026956 Loss_D_fake -0.002884
[968/5000][260/535][99783] Loss_D: -0.022709 Loss_G: -0.009361 Loss_D_real: 0.004359 Loss_D_fake 0.027069
[968/5000][265/535][99784] Loss_D: -0.022136 Loss_G: -0.000398 Loss_D_real: -0.020480 Loss_D_fake 0.001655
[968/5000][270/535][99785] Loss_D: -0.021990 Loss_G: 0.004482 Loss_D_real: -0.015189 Loss_D_fake 0.006801
[968/5000][275/535][99786] Loss_D: -0.021907 Loss_G: -0.004888 Loss_D_real: -0.012690 Loss_D_fake 0.009218
[968/5000][280/535][99787] Loss_D: -0.022406 Loss_G: 0.009458 Loss_D_real: -0.013100 Loss_D_fake 0.009306
[968/5000][285/535][99788] Loss_D: -0.022232 Loss_G: 0.005795 Loss_D_real: -0.023191 Loss_D_fake -0.000959
[968/5000][290/535][99789] Loss_D: -0.021465 Loss_G: 0.004042 Loss_D_real: -0.017277 Loss_D_fake 0.004189
[968/5000][295/535][99790] Loss_D: -0.023152 Loss_G: 0.007760 Loss_D_real: -0.031115 Loss_D_fake -0.007963
[968/5000][300/535][99791] Loss_D: -0.022557 Loss_G: -0.011241 Loss_D_real: -0.006587 Loss_D_fake 0.015970
[968/5000][305/535][99792] Loss_D: -0.022017 Loss_G: 0.006750 Loss_D_real: -0.017954 Loss_D_fake 0.004063
[968/5000][310/535][99793] Loss_D: -0.023796 Loss_G: 0.018591 Loss_D_real: -0.013502 Loss_D_fake 0.010294
[968/5000][315/535][99794] Loss_D: -0.023079 Loss_G: 0.005690 Loss_D_real: -0.029510 Loss_D_fake -0.006431
[968/5000][320/535][99795] Loss_D: -0.022504 Loss_G: 0.019559 Loss_D_real: -0.025128 Loss_D_fake -0.002624
[968/5000][325/535][99796] Loss_D: -0.023139 Loss_G: -0.008143 Loss_D_real: -0.009804 Loss_D_fake 0.013335
[968/5000][330/535][99797] Loss_D: -0.023590 Loss_G: 0.014318 Loss_D_real: -0.026792 Loss_D_fake -0.003202
[968/5000][335/535][99798] Loss_D: -0.023705 Loss_G: -0.002618 Loss_D_real: -0.020673 Loss_D_fake 0.003031
[968/5000][340/535][99799] Loss_D: -0.022533 Loss_G: 0.008212 Loss_D_real: -0.019625 Loss_D_fake 0.002908
[968/5000][345/535][99800] Loss_D: -0.023112 Loss_G: 0.006720 Loss_D_real: -0.015218 Loss_D_fake 0.007894
[968/5000][350/535][99801] Loss_D: -0.021402 Loss_G: 0.008327 Loss_D_real: -0.009294 Loss_D_fake 0.012109
[968/5000][355/535][99802] Loss_D: -0.023232 Loss_G: -0.003011 Loss_D_real: -0.006729 Loss_D_fake 0.016503
[968/5000][360/535][99803] Loss_D: -0.021928 Loss_G: 0.015327 Loss_D_real: -0.022194 Loss_D_fake -0.000266
[968/5000][365/535][99804] Loss_D: -0.021240 Loss_G: -0.016198 Loss_D_real: -0.011106 Loss_D_fake 0.010134
[968/5000][370/535][99805] Loss_D: -0.023610 Loss_G: -0.000429 Loss_D_real: -0.020827 Loss_D_fake 0.002783
[968/5000][375/535][99806] Loss_D: -0.022959 Loss_G: 0.013995 Loss_D_real: -0.022357 Loss_D_fake 0.000602
[968/5000][380/535][99807] Loss_D: -0.023469 Loss_G: 0.000505 Loss_D_real: -0.005913 Loss_D_fake 0.017556
[968/5000][385/535][99808] Loss_D: -0.022280 Loss_G: 0.015404 Loss_D_real: -0.023734 Loss_D_fake -0.001454
[968/5000][390/535][99809] Loss_D: -0.022152 Loss_G: 0.025202 Loss_D_real: -0.030190 Loss_D_fake -0.008038
[968/5000][395/535][99810] Loss_D: -0.022491 Loss_G: -0.005149 Loss_D_real: -0.007385 Loss_D_fake 0.015106
[968/5000][400/535][99811] Loss_D: -0.022878 Loss_G: 0.013348 Loss_D_real: -0.022256 Loss_D_fake 0.000622
[968/5000][405/535][99812] Loss_D: -0.023719 Loss_G: 0.003058 Loss_D_real: -0.016696 Loss_D_fake 0.007024
[968/5000][410/535][99813] Loss_D: -0.023598 Loss_G: 0.011604 Loss_D_real: -0.017565 Loss_D_fake 0.006032
[968/5000][415/535][99814] Loss_D: -0.022417 Loss_G: 0.007257 Loss_D_real: -0.022568 Loss_D_fake -0.000151
[968/5000][420/535][99815] Loss_D: -0.022352 Loss_G: -0.013330 Loss_D_real: -0.014238 Loss_D_fake 0.008114
[968/5000][425/535][99816] Loss_D: -0.023363 Loss_G: -0.002095 Loss_D_real: -0.019285 Loss_D_fake 0.004078
[968/5000][430/535][99817] Loss_D: -0.023684 Loss_G: 0.003022 Loss_D_real: -0.019713 Loss_D_fake 0.003971
[968/5000][435/535][99818] Loss_D: -0.021433 Loss_G: 0.021587 Loss_D_real: -0.038542 Loss_D_fake -0.017109
[968/5000][440/535][99819] Loss_D: -0.024286 Loss_G: 0.002366 Loss_D_real: -0.006252 Loss_D_fake 0.018034
[968/5000][445/535][99820] Loss_D: -0.021703 Loss_G: 0.000243 Loss_D_real: -0.020235 Loss_D_fake 0.001468
[968/5000][450/535][99821] Loss_D: -0.022829 Loss_G: -0.005048 Loss_D_real: -0.000629 Loss_D_fake 0.022200
[968/5000][455/535][99822] Loss_D: -0.022285 Loss_G: 0.000498 Loss_D_real: -0.022685 Loss_D_fake -0.000400
[968/5000][460/535][99823] Loss_D: -0.022869 Loss_G: -0.001430 Loss_D_real: -0.017301 Loss_D_fake 0.005568
[968/5000][465/535][99824] Loss_D: -0.022074 Loss_G: 0.010579 Loss_D_real: -0.028709 Loss_D_fake -0.006635
[968/5000][470/535][99825] Loss_D: -0.021378 Loss_G: 0.015757 Loss_D_real: -0.023567 Loss_D_fake -0.002189
[968/5000][475/535][99826] Loss_D: -0.020819 Loss_G: 0.008570 Loss_D_real: -0.023765 Loss_D_fake -0.002945
[968/5000][480/535][99827] Loss_D: -0.021393 Loss_G: 0.020611 Loss_D_real: -0.025486 Loss_D_fake -0.004093
[968/5000][485/535][99828] Loss_D: -0.022934 Loss_G: -0.002526 Loss_D_real: -0.020483 Loss_D_fake 0.002452
[968/5000][490/535][99829] Loss_D: -0.023097 Loss_G: -0.007150 Loss_D_real: -0.014369 Loss_D_fake 0.008729
[968/5000][495/535][99830] Loss_D: -0.022806 Loss_G: 0.014562 Loss_D_real: -0.014331 Loss_D_fake 0.008475
[968/5000][500/535][99831] Loss_D: -0.022915 Loss_G: 0.004142 Loss_D_real: -0.017493 Loss_D_fake 0.005422
[968/5000][505/535][99832] Loss_D: -0.022560 Loss_G: 0.001557 Loss_D_real: -0.021684 Loss_D_fake 0.000875
[968/5000][510/535][99833] Loss_D: -0.023327 Loss_G: 0.003297 Loss_D_real: -0.009712 Loss_D_fake 0.013616
[968/5000][515/535][99834] Loss_D: -0.022474 Loss_G: 0.015388 Loss_D_real: -0.020556 Loss_D_fake 0.001918
[968/5000][520/535][99835] Loss_D: -0.022877 Loss_G: -0.012601 Loss_D_real: -0.016832 Loss_D_fake 0.006045
[968/5000][525/535][99836] Loss_D: -0.020549 Loss_G: 0.019782 Loss_D_real: -0.032517 Loss_D_fake -0.011968
[968/5000][530/535][99837] Loss_D: -0.022572 Loss_G: 0.001051 Loss_D_real: -0.012489 Loss_D_fake 0.010083
[968/5000][535/535][99838] Loss_D: -0.020207 Loss_G: 0.027302 Loss_D_real: -0.024922 Loss_D_fake -0.004716
[969/5000][5/535][99839] Loss_D: -0.022393 Loss_G: 0.011940 Loss_D_real: -0.018900 Loss_D_fake 0.003493
[969/5000][10/535][99840] Loss_D: -0.023334 Loss_G: -0.004416 Loss_D_real: -0.019252 Loss_D_fake 0.004082
[969/5000][15/535][99841] Loss_D: -0.021536 Loss_G: 0.010200 Loss_D_real: -0.020414 Loss_D_fake 0.001122
[969/5000][20/535][99842] Loss_D: -0.022591 Loss_G: 0.002139 Loss_D_real: -0.028724 Loss_D_fake -0.006133
[969/5000][25/535][99843] Loss_D: -0.021240 Loss_G: -0.000596 Loss_D_real: -0.021284 Loss_D_fake -0.000044
[969/5000][30/535][99844] Loss_D: -0.022878 Loss_G: 0.009339 Loss_D_real: -0.017270 Loss_D_fake 0.005609
[969/5000][35/535][99845] Loss_D: -0.021695 Loss_G: 0.025227 Loss_D_real: -0.036460 Loss_D_fake -0.014765
[969/5000][40/535][99846] Loss_D: -0.022825 Loss_G: 0.004716 Loss_D_real: -0.019448 Loss_D_fake 0.003376
[969/5000][45/535][99847] Loss_D: -0.022556 Loss_G: -0.001314 Loss_D_real: -0.007996 Loss_D_fake 0.014560
[969/5000][50/535][99848] Loss_D: -0.022005 Loss_G: 0.016093 Loss_D_real: -0.025903 Loss_D_fake -0.003898
[969/5000][55/535][99849] Loss_D: -0.022221 Loss_G: -0.002822 Loss_D_real: -0.004830 Loss_D_fake 0.017392
[969/5000][60/535][99850] Loss_D: -0.022930 Loss_G: -0.004143 Loss_D_real: -0.021076 Loss_D_fake 0.001854
[969/5000][65/535][99851] Loss_D: -0.024392 Loss_G: 0.009736 Loss_D_real: -0.013497 Loss_D_fake 0.010895
[969/5000][70/535][99852] Loss_D: -0.024338 Loss_G: 0.002444 Loss_D_real: -0.013458 Loss_D_fake 0.010880
[969/5000][75/535][99853] Loss_D: -0.023823 Loss_G: 0.020041 Loss_D_real: -0.031071 Loss_D_fake -0.007247
[969/5000][80/535][99854] Loss_D: -0.023510 Loss_G: 0.019021 Loss_D_real: -0.028697 Loss_D_fake -0.005188
[969/5000][85/535][99855] Loss_D: -0.022848 Loss_G: -0.008913 Loss_D_real: -0.009905 Loss_D_fake 0.012943
[969/5000][90/535][99856] Loss_D: -0.021578 Loss_G: 0.011293 Loss_D_real: -0.021950 Loss_D_fake -0.000372
[969/5000][95/535][99857] Loss_D: -0.022239 Loss_G: 0.022461 Loss_D_real: -0.034957 Loss_D_fake -0.012718
[969/5000][100/535][99858] Loss_D: -0.023004 Loss_G: 0.005636 Loss_D_real: -0.020599 Loss_D_fake 0.002405
[969/5000][105/535][99859] Loss_D: -0.022348 Loss_G: 0.017215 Loss_D_real: -0.030554 Loss_D_fake -0.008207
[969/5000][110/535][99860] Loss_D: -0.021527 Loss_G: 0.011765 Loss_D_real: -0.015224 Loss_D_fake 0.006303
[969/5000][115/535][99861] Loss_D: -0.024394 Loss_G: 0.006698 Loss_D_real: -0.018408 Loss_D_fake 0.005986
[969/5000][120/535][99862] Loss_D: -0.023397 Loss_G: 0.005994 Loss_D_real: -0.018622 Loss_D_fake 0.004775
[969/5000][125/535][99863] Loss_D: -0.024128 Loss_G: 0.015427 Loss_D_real: -0.023641 Loss_D_fake 0.000487
[969/5000][130/535][99864] Loss_D: -0.024346 Loss_G: 0.014438 Loss_D_real: -0.019661 Loss_D_fake 0.004685
[969/5000][135/535][99865] Loss_D: -0.023433 Loss_G: 0.011059 Loss_D_real: -0.025617 Loss_D_fake -0.002184
[969/5000][140/535][99866] Loss_D: -0.022890 Loss_G: -0.004674 Loss_D_real: -0.017173 Loss_D_fake 0.005717
[969/5000][145/535][99867] Loss_D: -0.021437 Loss_G: -0.006724 Loss_D_real: -0.000205 Loss_D_fake 0.021232
[969/5000][150/535][99868] Loss_D: -0.021841 Loss_G: -0.008517 Loss_D_real: -0.002677 Loss_D_fake 0.019164
[969/5000][155/535][99869] Loss_D: -0.022188 Loss_G: 0.010553 Loss_D_real: -0.023175 Loss_D_fake -0.000987
[969/5000][160/535][99870] Loss_D: -0.021901 Loss_G: 0.023365 Loss_D_real: -0.031106 Loss_D_fake -0.009205
[969/5000][165/535][99871] Loss_D: -0.022294 Loss_G: -0.006019 Loss_D_real: -0.023174 Loss_D_fake -0.000880
[969/5000][170/535][99872] Loss_D: -0.023026 Loss_G: -0.000200 Loss_D_real: -0.015584 Loss_D_fake 0.007442
[969/5000][175/535][99873] Loss_D: -0.021581 Loss_G: -0.014570 Loss_D_real: -0.016955 Loss_D_fake 0.004626
[969/5000][180/535][99874] Loss_D: -0.021424 Loss_G: -0.013087 Loss_D_real: -0.011816 Loss_D_fake 0.009609
[969/5000][185/535][99875] Loss_D: -0.022139 Loss_G: -0.004758 Loss_D_real: -0.010892 Loss_D_fake 0.011246
[969/5000][190/535][99876] Loss_D: -0.020841 Loss_G: 0.014716 Loss_D_real: -0.026674 Loss_D_fake -0.005833
[969/5000][195/535][99877] Loss_D: -0.022536 Loss_G: -0.005907 Loss_D_real: -0.007018 Loss_D_fake 0.015519
[969/5000][200/535][99878] Loss_D: -0.022995 Loss_G: -0.000165 Loss_D_real: -0.003477 Loss_D_fake 0.019517
[969/5000][205/535][99879] Loss_D: -0.022163 Loss_G: -0.003767 Loss_D_real: -0.015210 Loss_D_fake 0.006953
[969/5000][210/535][99880] Loss_D: -0.021604 Loss_G: -0.001282 Loss_D_real: -0.006466 Loss_D_fake 0.015138
[969/5000][215/535][99881] Loss_D: -0.022538 Loss_G: 0.002610 Loss_D_real: -0.029229 Loss_D_fake -0.006690
[969/5000][220/535][99882] Loss_D: -0.022532 Loss_G: -0.005425 Loss_D_real: -0.016363 Loss_D_fake 0.006169
[969/5000][225/535][99883] Loss_D: -0.022101 Loss_G: 0.027117 Loss_D_real: -0.034829 Loss_D_fake -0.012729
[969/5000][230/535][99884] Loss_D: -0.022355 Loss_G: 0.028921 Loss_D_real: -0.027221 Loss_D_fake -0.004866
[969/5000][235/535][99885] Loss_D: -0.024179 Loss_G: 0.005140 Loss_D_real: -0.023126 Loss_D_fake 0.001053
[969/5000][240/535][99886] Loss_D: -0.023088 Loss_G: -0.005733 Loss_D_real: -0.007887 Loss_D_fake 0.015201
[969/5000][245/535][99887] Loss_D: -0.021625 Loss_G: 0.016555 Loss_D_real: -0.025272 Loss_D_fake -0.003647
[969/5000][250/535][99888] Loss_D: -0.023070 Loss_G: -0.012056 Loss_D_real: -0.006794 Loss_D_fake 0.016277
[969/5000][255/535][99889] Loss_D: -0.022894 Loss_G: 0.006941 Loss_D_real: -0.019011 Loss_D_fake 0.003884
[969/5000][260/535][99890] Loss_D: -0.024278 Loss_G: 0.015311 Loss_D_real: -0.023246 Loss_D_fake 0.001032
[969/5000][265/535][99891] Loss_D: -0.021954 Loss_G: 0.019550 Loss_D_real: -0.024315 Loss_D_fake -0.002361
[969/5000][270/535][99892] Loss_D: -0.021733 Loss_G: 0.012007 Loss_D_real: -0.021517 Loss_D_fake 0.000216
[969/5000][275/535][99893] Loss_D: -0.021476 Loss_G: 0.002390 Loss_D_real: -0.016070 Loss_D_fake 0.005406
[969/5000][280/535][99894] Loss_D: -0.021800 Loss_G: 0.012086 Loss_D_real: -0.018300 Loss_D_fake 0.003501
[969/5000][285/535][99895] Loss_D: -0.022255 Loss_G: 0.005859 Loss_D_real: -0.018466 Loss_D_fake 0.003789
[969/5000][290/535][99896] Loss_D: -0.021937 Loss_G: 0.002330 Loss_D_real: -0.034599 Loss_D_fake -0.012661
[969/5000][295/535][99897] Loss_D: -0.021972 Loss_G: -0.006046 Loss_D_real: -0.011269 Loss_D_fake 0.010703
[969/5000][300/535][99898] Loss_D: -0.021639 Loss_G: 0.016841 Loss_D_real: -0.021766 Loss_D_fake -0.000126
[969/5000][305/535][99899] Loss_D: -0.021249 Loss_G: 0.013492 Loss_D_real: -0.024440 Loss_D_fake -0.003191
[969/5000][310/535][99900] Loss_D: -0.022124 Loss_G: -0.008198 Loss_D_real: -0.008984 Loss_D_fake 0.013140
[969/5000][315/535][99901] Loss_D: -0.022508 Loss_G: 0.008502 Loss_D_real: -0.025379 Loss_D_fake -0.002871
[969/5000][320/535][99902] Loss_D: -0.021901 Loss_G: 0.005418 Loss_D_real: -0.011867 Loss_D_fake 0.010035
[969/5000][325/535][99903] Loss_D: -0.022464 Loss_G: 0.008925 Loss_D_real: -0.020140 Loss_D_fake 0.002324
[969/5000][330/535][99904] Loss_D: -0.023091 Loss_G: 0.008417 Loss_D_real: -0.029593 Loss_D_fake -0.006501
[969/5000][335/535][99905] Loss_D: -0.023217 Loss_G: 0.018310 Loss_D_real: -0.020169 Loss_D_fake 0.003048
[969/5000][340/535][99906] Loss_D: -0.022112 Loss_G: 0.018481 Loss_D_real: -0.026769 Loss_D_fake -0.004656
[969/5000][345/535][99907] Loss_D: -0.022572 Loss_G: -0.010952 Loss_D_real: -0.012755 Loss_D_fake 0.009817
[969/5000][350/535][99908] Loss_D: -0.022686 Loss_G: 0.001009 Loss_D_real: -0.016123 Loss_D_fake 0.006563
[969/5000][355/535][99909] Loss_D: -0.022336 Loss_G: 0.015098 Loss_D_real: -0.022801 Loss_D_fake -0.000465
[969/5000][360/535][99910] Loss_D: -0.022060 Loss_G: 0.018958 Loss_D_real: -0.029838 Loss_D_fake -0.007778
[969/5000][365/535][99911] Loss_D: -0.023088 Loss_G: 0.002762 Loss_D_real: -0.019881 Loss_D_fake 0.003207
[969/5000][370/535][99912] Loss_D: -0.022189 Loss_G: 0.004340 Loss_D_real: -0.024864 Loss_D_fake -0.002675
[969/5000][375/535][99913] Loss_D: -0.021930 Loss_G: -0.006792 Loss_D_real: -0.006326 Loss_D_fake 0.015604
[969/5000][380/535][99914] Loss_D: -0.022315 Loss_G: 0.017563 Loss_D_real: -0.022922 Loss_D_fake -0.000606
[969/5000][385/535][99915] Loss_D: -0.023521 Loss_G: 0.008183 Loss_D_real: -0.013577 Loss_D_fake 0.009944
[969/5000][390/535][99916] Loss_D: -0.022883 Loss_G: 0.015362 Loss_D_real: -0.027157 Loss_D_fake -0.004274
[969/5000][395/535][99917] Loss_D: -0.022702 Loss_G: 0.011784 Loss_D_real: -0.023980 Loss_D_fake -0.001279
[969/5000][400/535][99918] Loss_D: -0.022827 Loss_G: 0.016174 Loss_D_real: -0.021619 Loss_D_fake 0.001208
[969/5000][405/535][99919] Loss_D: -0.023563 Loss_G: 0.014972 Loss_D_real: -0.024508 Loss_D_fake -0.000945
[969/5000][410/535][99920] Loss_D: -0.024718 Loss_G: 0.018260 Loss_D_real: -0.024413 Loss_D_fake 0.000304
[969/5000][415/535][99921] Loss_D: -0.024131 Loss_G: 0.002092 Loss_D_real: -0.016371 Loss_D_fake 0.007760
[969/5000][420/535][99922] Loss_D: -0.024624 Loss_G: 0.017943 Loss_D_real: -0.024457 Loss_D_fake 0.000166
[969/5000][425/535][99923] Loss_D: -0.023404 Loss_G: 0.004863 Loss_D_real: -0.021441 Loss_D_fake 0.001964
[969/5000][430/535][99924] Loss_D: -0.023122 Loss_G: -0.021165 Loss_D_real: -0.000071 Loss_D_fake 0.023051
[969/5000][435/535][99925] Loss_D: -0.023977 Loss_G: 0.021634 Loss_D_real: -0.031455 Loss_D_fake -0.007478
[969/5000][440/535][99926] Loss_D: -0.023460 Loss_G: 0.020890 Loss_D_real: -0.029731 Loss_D_fake -0.006271
[969/5000][445/535][99927] Loss_D: -0.023620 Loss_G: -0.003827 Loss_D_real: -0.008894 Loss_D_fake 0.014726
[969/5000][450/535][99928] Loss_D: -0.022445 Loss_G: -0.005208 Loss_D_real: -0.003435 Loss_D_fake 0.019010
[969/5000][455/535][99929] Loss_D: -0.024380 Loss_G: 0.015470 Loss_D_real: -0.013065 Loss_D_fake 0.011316
[969/5000][460/535][99930] Loss_D: -0.023378 Loss_G: 0.003151 Loss_D_real: -0.020737 Loss_D_fake 0.002641
[969/5000][465/535][99931] Loss_D: -0.022875 Loss_G: -0.003158 Loss_D_real: -0.021731 Loss_D_fake 0.001144
[969/5000][470/535][99932] Loss_D: -0.023861 Loss_G: 0.010482 Loss_D_real: -0.024111 Loss_D_fake -0.000250
[969/5000][475/535][99933] Loss_D: -0.023008 Loss_G: 0.008715 Loss_D_real: -0.017499 Loss_D_fake 0.005509
[969/5000][480/535][99934] Loss_D: -0.023036 Loss_G: 0.024612 Loss_D_real: -0.021796 Loss_D_fake 0.001240
[969/5000][485/535][99935] Loss_D: -0.021750 Loss_G: -0.010856 Loss_D_real: -0.008202 Loss_D_fake 0.013548
[969/5000][490/535][99936] Loss_D: -0.022973 Loss_G: -0.002010 Loss_D_real: -0.015259 Loss_D_fake 0.007715
[969/5000][495/535][99937] Loss_D: -0.023339 Loss_G: -0.008192 Loss_D_real: -0.006243 Loss_D_fake 0.017096
[969/5000][500/535][99938] Loss_D: -0.022678 Loss_G: 0.008164 Loss_D_real: -0.016809 Loss_D_fake 0.005869
[969/5000][505/535][99939] Loss_D: -0.023460 Loss_G: -0.003445 Loss_D_real: -0.016369 Loss_D_fake 0.007091
[969/5000][510/535][99940] Loss_D: -0.023082 Loss_G: 0.016745 Loss_D_real: -0.029224 Loss_D_fake -0.006141
[969/5000][515/535][99941] Loss_D: -0.023746 Loss_G: -0.007790 Loss_D_real: -0.006930 Loss_D_fake 0.016816
[969/5000][520/535][99942] Loss_D: -0.023567 Loss_G: 0.007536 Loss_D_real: -0.021872 Loss_D_fake 0.001695
[969/5000][525/535][99943] Loss_D: -0.024972 Loss_G: -0.005833 Loss_D_real: -0.011424 Loss_D_fake 0.013548
[969/5000][530/535][99944] Loss_D: -0.022305 Loss_G: -0.005299 Loss_D_real: -0.019405 Loss_D_fake 0.002901
[969/5000][535/535][99945] Loss_D: -0.027905 Loss_G: 0.023392 Loss_D_real: -0.024717 Loss_D_fake 0.003189
[970/5000][5/535][99946] Loss_D: -0.022843 Loss_G: 0.006348 Loss_D_real: -0.019226 Loss_D_fake 0.003617
[970/5000][10/535][99947] Loss_D: -0.022650 Loss_G: 0.007279 Loss_D_real: -0.021349 Loss_D_fake 0.001301
[970/5000][15/535][99948] Loss_D: -0.022513 Loss_G: 0.012704 Loss_D_real: -0.028028 Loss_D_fake -0.005516
[970/5000][20/535][99949] Loss_D: -0.022935 Loss_G: -0.005632 Loss_D_real: -0.008300 Loss_D_fake 0.014636
[970/5000][25/535][99950] Loss_D: -0.022270 Loss_G: 0.021070 Loss_D_real: -0.027910 Loss_D_fake -0.005640
[970/5000][30/535][99951] Loss_D: -0.022953 Loss_G: -0.008100 Loss_D_real: -0.017939 Loss_D_fake 0.005014
[970/5000][35/535][99952] Loss_D: -0.022160 Loss_G: 0.000001 Loss_D_real: -0.021834 Loss_D_fake 0.000326
[970/5000][40/535][99953] Loss_D: -0.020945 Loss_G: 0.012041 Loss_D_real: -0.023776 Loss_D_fake -0.002830
[970/5000][45/535][99954] Loss_D: -0.024238 Loss_G: 0.004459 Loss_D_real: -0.014512 Loss_D_fake 0.009725
[970/5000][50/535][99955] Loss_D: -0.023651 Loss_G: -0.003816 Loss_D_real: -0.018846 Loss_D_fake 0.004805
[970/5000][55/535][99956] Loss_D: -0.024200 Loss_G: 0.010674 Loss_D_real: -0.023980 Loss_D_fake 0.000220
[970/5000][60/535][99957] Loss_D: -0.024028 Loss_G: 0.015968 Loss_D_real: -0.016274 Loss_D_fake 0.007755
[970/5000][65/535][99958] Loss_D: -0.023057 Loss_G: -0.017288 Loss_D_real: -0.001659 Loss_D_fake 0.021398
[970/5000][70/535][99959] Loss_D: -0.023394 Loss_G: 0.025091 Loss_D_real: -0.020469 Loss_D_fake 0.002925
[970/5000][75/535][99960] Loss_D: -0.023145 Loss_G: 0.009271 Loss_D_real: -0.023215 Loss_D_fake -0.000070
[970/5000][80/535][99961] Loss_D: -0.023417 Loss_G: 0.023005 Loss_D_real: -0.026580 Loss_D_fake -0.003163
[970/5000][85/535][99962] Loss_D: -0.023909 Loss_G: 0.001232 Loss_D_real: -0.013817 Loss_D_fake 0.010092
[970/5000][90/535][99963] Loss_D: -0.024220 Loss_G: 0.002826 Loss_D_real: -0.028200 Loss_D_fake -0.003980
[970/5000][95/535][99964] Loss_D: -0.021642 Loss_G: 0.011469 Loss_D_real: -0.025301 Loss_D_fake -0.003660
[970/5000][100/535][99965] Loss_D: -0.022345 Loss_G: -0.009849 Loss_D_real: -0.005043 Loss_D_fake 0.017302
[970/5000][105/535][99966] Loss_D: -0.022485 Loss_G: -0.003396 Loss_D_real: -0.016169 Loss_D_fake 0.006315
[970/5000][110/535][99967] Loss_D: -0.022200 Loss_G: 0.017837 Loss_D_real: -0.022334 Loss_D_fake -0.000134
[970/5000][115/535][99968] Loss_D: -0.022904 Loss_G: 0.020482 Loss_D_real: -0.026896 Loss_D_fake -0.003991
[970/5000][120/535][99969] Loss_D: -0.022193 Loss_G: -0.006360 Loss_D_real: -0.014311 Loss_D_fake 0.007882
[970/5000][125/535][99970] Loss_D: -0.022910 Loss_G: -0.000958 Loss_D_real: -0.023389 Loss_D_fake -0.000479
[970/5000][130/535][99971] Loss_D: -0.022638 Loss_G: 0.011315 Loss_D_real: -0.027400 Loss_D_fake -0.004762
[970/5000][135/535][99972] Loss_D: -0.022508 Loss_G: 0.018262 Loss_D_real: -0.030377 Loss_D_fake -0.007868
[970/5000][140/535][99973] Loss_D: -0.023109 Loss_G: 0.004926 Loss_D_real: -0.018672 Loss_D_fake 0.004437
[970/5000][145/535][99974] Loss_D: -0.021737 Loss_G: 0.012222 Loss_D_real: -0.026181 Loss_D_fake -0.004444
[970/5000][150/535][99975] Loss_D: -0.022757 Loss_G: 0.015168 Loss_D_real: -0.025109 Loss_D_fake -0.002351
[970/5000][155/535][99976] Loss_D: -0.023403 Loss_G: 0.003841 Loss_D_real: -0.014737 Loss_D_fake 0.008665
[970/5000][160/535][99977] Loss_D: -0.023424 Loss_G: 0.006915 Loss_D_real: -0.014032 Loss_D_fake 0.009392
[970/5000][165/535][99978] Loss_D: -0.022369 Loss_G: -0.008973 Loss_D_real: -0.010115 Loss_D_fake 0.012254
[970/5000][170/535][99979] Loss_D: -0.022817 Loss_G: 0.001371 Loss_D_real: -0.021292 Loss_D_fake 0.001525
[970/5000][175/535][99980] Loss_D: -0.022805 Loss_G: 0.026914 Loss_D_real: -0.031405 Loss_D_fake -0.008600
[970/5000][180/535][99981] Loss_D: -0.022954 Loss_G: -0.007188 Loss_D_real: -0.014245 Loss_D_fake 0.008709
[970/5000][185/535][99982] Loss_D: -0.022646 Loss_G: -0.005461 Loss_D_real: -0.017304 Loss_D_fake 0.005342
[970/5000][190/535][99983] Loss_D: -0.022901 Loss_G: 0.005365 Loss_D_real: -0.019851 Loss_D_fake 0.003050
[970/5000][195/535][99984] Loss_D: -0.023334 Loss_G: 0.018720 Loss_D_real: -0.021023 Loss_D_fake 0.002310
[970/5000][200/535][99985] Loss_D: -0.023179 Loss_G: 0.005042 Loss_D_real: -0.013392 Loss_D_fake 0.009787
[970/5000][205/535][99986] Loss_D: -0.021585 Loss_G: 0.013970 Loss_D_real: -0.027146 Loss_D_fake -0.005561
[970/5000][210/535][99987] Loss_D: -0.021342 Loss_G: 0.009609 Loss_D_real: -0.025862 Loss_D_fake -0.004520
[970/5000][215/535][99988] Loss_D: -0.023691 Loss_G: 0.009957 Loss_D_real: -0.018031 Loss_D_fake 0.005660
[970/5000][220/535][99989] Loss_D: -0.022770 Loss_G: 0.011368 Loss_D_real: -0.020750 Loss_D_fake 0.002020
[970/5000][225/535][99990] Loss_D: -0.023846 Loss_G: 0.001738 Loss_D_real: -0.020210 Loss_D_fake 0.003636
[970/5000][230/535][99991] Loss_D: -0.023733 Loss_G: 0.001095 Loss_D_real: -0.005854 Loss_D_fake 0.017879
[970/5000][235/535][99992] Loss_D: -0.022461 Loss_G: 0.007085 Loss_D_real: -0.021912 Loss_D_fake 0.000549
[970/5000][240/535][99993] Loss_D: -0.022622 Loss_G: 0.008512 Loss_D_real: -0.023612 Loss_D_fake -0.000990
[970/5000][245/535][99994] Loss_D: -0.022287 Loss_G: -0.012104 Loss_D_real: -0.007952 Loss_D_fake 0.014334
[970/5000][250/535][99995] Loss_D: -0.023447 Loss_G: 0.005035 Loss_D_real: -0.033572 Loss_D_fake -0.010124
[970/5000][255/535][99996] Loss_D: -0.021627 Loss_G: 0.020974 Loss_D_real: -0.024561 Loss_D_fake -0.002934
[970/5000][260/535][99997] Loss_D: -0.023245 Loss_G: 0.015584 Loss_D_real: -0.023717 Loss_D_fake -0.000471
[970/5000][265/535][99998] Loss_D: -0.023419 Loss_G: 0.012227 Loss_D_real: -0.016020 Loss_D_fake 0.007400
[970/5000][270/535][99999] Loss_D: -0.022604 Loss_G: 0.004273 Loss_D_real: -0.019576 Loss_D_fake 0.003028
[970/5000][275/535][100000] Loss_D: -0.022509 Loss_G: 0.007690 Loss_D_real: -0.015556 Loss_D_fake 0.006953
[970/5000][375/535][100001] Loss_D: -0.026933 Loss_G: 0.015437 Loss_D_real: -0.016730 Loss_D_fake 0.010202
[970/5000][380/535][100002] Loss_D: -0.022927 Loss_G: 0.002123 Loss_D_real: -0.003214 Loss_D_fake 0.019713
[970/5000][385/535][100003] Loss_D: -0.020601 Loss_G: -0.001358 Loss_D_real: -0.022517 Loss_D_fake -0.001916
[970/5000][390/535][100004] Loss_D: -0.021071 Loss_G: 0.009771 Loss_D_real: -0.014709 Loss_D_fake 0.006362
[970/5000][395/535][100005] Loss_D: -0.021751 Loss_G: 0.008224 Loss_D_real: -0.008604 Loss_D_fake 0.013147
[970/5000][400/535][100006] Loss_D: -0.021822 Loss_G: 0.006256 Loss_D_real: -0.029433 Loss_D_fake -0.007611
[970/5000][405/535][100007] Loss_D: -0.021799 Loss_G: 0.011691 Loss_D_real: -0.028294 Loss_D_fake -0.006495
[970/5000][410/535][100008] Loss_D: -0.022248 Loss_G: 0.006578 Loss_D_real: -0.025257 Loss_D_fake -0.003010
[970/5000][415/535][100009] Loss_D: -0.021999 Loss_G: 0.006541 Loss_D_real: -0.023493 Loss_D_fake -0.001494
[970/5000][420/535][100010] Loss_D: -0.023187 Loss_G: 0.010307 Loss_D_real: -0.018623 Loss_D_fake 0.004563
[970/5000][425/535][100011] Loss_D: -0.022742 Loss_G: -0.007336 Loss_D_real: -0.007009 Loss_D_fake 0.015734
[970/5000][430/535][100012] Loss_D: -0.021664 Loss_G: 0.003869 Loss_D_real: -0.027192 Loss_D_fake -0.005527
[970/5000][435/535][100013] Loss_D: -0.022676 Loss_G: 0.017642 Loss_D_real: -0.023059 Loss_D_fake -0.000384
[970/5000][440/535][100014] Loss_D: -0.022010 Loss_G: 0.000538 Loss_D_real: -0.016381 Loss_D_fake 0.005629
[970/5000][445/535][100015] Loss_D: -0.022472 Loss_G: -0.004766 Loss_D_real: -0.013350 Loss_D_fake 0.009122
[970/5000][450/535][100016] Loss_D: -0.023951 Loss_G: 0.013384 Loss_D_real: -0.020150 Loss_D_fake 0.003801
[970/5000][455/535][100017] Loss_D: -0.023219 Loss_G: -0.000756 Loss_D_real: -0.010472 Loss_D_fake 0.012747
[970/5000][460/535][100018] Loss_D: -0.022287 Loss_G: -0.011289 Loss_D_real: -0.022898 Loss_D_fake -0.000611
[970/5000][465/535][100019] Loss_D: -0.023535 Loss_G: 0.008885 Loss_D_real: -0.020153 Loss_D_fake 0.003381
[970/5000][470/535][100020] Loss_D: -0.021750 Loss_G: -0.004363 Loss_D_real: -0.013969 Loss_D_fake 0.007781
[970/5000][475/535][100021] Loss_D: -0.022394 Loss_G: 0.022110 Loss_D_real: -0.026442 Loss_D_fake -0.004048
[970/5000][480/535][100022] Loss_D: -0.020985 Loss_G: 0.000399 Loss_D_real: -0.016475 Loss_D_fake 0.004510
[970/5000][485/535][100023] Loss_D: -0.022706 Loss_G: 0.013712 Loss_D_real: -0.023904 Loss_D_fake -0.001198
[970/5000][490/535][100024] Loss_D: -0.023258 Loss_G: 0.006725 Loss_D_real: -0.022119 Loss_D_fake 0.001139
[970/5000][495/535][100025] Loss_D: -0.023009 Loss_G: 0.022391 Loss_D_real: -0.024664 Loss_D_fake -0.001655
[970/5000][500/535][100026] Loss_D: -0.022779 Loss_G: 0.000332 Loss_D_real: -0.018567 Loss_D_fake 0.004212
[970/5000][505/535][100027] Loss_D: -0.023033 Loss_G: -0.001707 Loss_D_real: -0.013606 Loss_D_fake 0.009428
[970/5000][510/535][100028] Loss_D: -0.022950 Loss_G: 0.000991 Loss_D_real: -0.011167 Loss_D_fake 0.011783
[970/5000][515/535][100029] Loss_D: -0.023792 Loss_G: 0.025943 Loss_D_real: -0.016394 Loss_D_fake 0.007397
[970/5000][520/535][100030] Loss_D: -0.023080 Loss_G: 0.011640 Loss_D_real: -0.026475 Loss_D_fake -0.003394
[970/5000][525/535][100031] Loss_D: -0.021927 Loss_G: 0.001090 Loss_D_real: -0.023260 Loss_D_fake -0.001333
[970/5000][530/535][100032] Loss_D: -0.023327 Loss_G: 0.003283 Loss_D_real: -0.023047 Loss_D_fake 0.000280
[970/5000][535/535][100033] Loss_D: -0.023703 Loss_G: 0.011054 Loss_D_real: -0.024072 Loss_D_fake -0.000369
[971/5000][5/535][100034] Loss_D: -0.022477 Loss_G: 0.010433 Loss_D_real: -0.010900 Loss_D_fake 0.011577
[971/5000][10/535][100035] Loss_D: -0.022178 Loss_G: -0.000841 Loss_D_real: -0.005657 Loss_D_fake 0.016521
[971/5000][15/535][100036] Loss_D: -0.020795 Loss_G: -0.011130 Loss_D_real: -0.001930 Loss_D_fake 0.018866
[971/5000][20/535][100037] Loss_D: -0.021980 Loss_G: 0.008556 Loss_D_real: -0.020652 Loss_D_fake 0.001328
[971/5000][25/535][100038] Loss_D: -0.023986 Loss_G: 0.016600 Loss_D_real: -0.015574 Loss_D_fake 0.008412
[971/5000][30/535][100039] Loss_D: -0.022256 Loss_G: 0.023418 Loss_D_real: -0.025286 Loss_D_fake -0.003031
[971/5000][35/535][100040] Loss_D: -0.022254 Loss_G: -0.013936 Loss_D_real: -0.010422 Loss_D_fake 0.011833
[971/5000][40/535][100041] Loss_D: -0.021118 Loss_G: 0.016785 Loss_D_real: -0.035228 Loss_D_fake -0.014110
[971/5000][45/535][100042] Loss_D: -0.022160 Loss_G: -0.010462 Loss_D_real: -0.007985 Loss_D_fake 0.014176
[971/5000][50/535][100043] Loss_D: -0.022750 Loss_G: 0.012440 Loss_D_real: -0.030696 Loss_D_fake -0.007946
[971/5000][55/535][100044] Loss_D: -0.023393 Loss_G: 0.005264 Loss_D_real: -0.015606 Loss_D_fake 0.007787
[971/5000][60/535][100045] Loss_D: -0.023085 Loss_G: -0.004240 Loss_D_real: -0.015462 Loss_D_fake 0.007623
[971/5000][65/535][100046] Loss_D: -0.023763 Loss_G: 0.014457 Loss_D_real: -0.015306 Loss_D_fake 0.008457
[971/5000][70/535][100047] Loss_D: -0.023870 Loss_G: 0.014248 Loss_D_real: 0.000698 Loss_D_fake 0.024568
[971/5000][75/535][100048] Loss_D: -0.023501 Loss_G: 0.010367 Loss_D_real: -0.021168 Loss_D_fake 0.002333
[971/5000][80/535][100049] Loss_D: -0.022103 Loss_G: -0.008753 Loss_D_real: -0.008954 Loss_D_fake 0.013149
[971/5000][85/535][100050] Loss_D: -0.022537 Loss_G: 0.000754 Loss_D_real: -0.015481 Loss_D_fake 0.007056
[971/5000][90/535][100051] Loss_D: -0.022424 Loss_G: 0.019943 Loss_D_real: -0.029873 Loss_D_fake -0.007449
[971/5000][95/535][100052] Loss_D: -0.021778 Loss_G: -0.018813 Loss_D_real: -0.006175 Loss_D_fake 0.015603
[971/5000][100/535][100053] Loss_D: -0.022414 Loss_G: 0.003709 Loss_D_real: -0.014794 Loss_D_fake 0.007620
[971/5000][105/535][100054] Loss_D: -0.022491 Loss_G: 0.007537 Loss_D_real: -0.019973 Loss_D_fake 0.002519
[971/5000][110/535][100055] Loss_D: -0.023070 Loss_G: 0.007208 Loss_D_real: -0.022280 Loss_D_fake 0.000789
[971/5000][115/535][100056] Loss_D: -0.023376 Loss_G: 0.006513 Loss_D_real: -0.014468 Loss_D_fake 0.008908
[971/5000][120/535][100057] Loss_D: -0.021944 Loss_G: -0.011833 Loss_D_real: -0.014013 Loss_D_fake 0.007931
[971/5000][125/535][100058] Loss_D: -0.021592 Loss_G: 0.012057 Loss_D_real: -0.028454 Loss_D_fake -0.006862
[971/5000][130/535][100059] Loss_D: -0.022452 Loss_G: 0.015012 Loss_D_real: -0.029608 Loss_D_fake -0.007156
[971/5000][135/535][100060] Loss_D: -0.023559 Loss_G: 0.003795 Loss_D_real: -0.027435 Loss_D_fake -0.003876
[971/5000][140/535][100061] Loss_D: -0.022682 Loss_G: 0.001161 Loss_D_real: -0.020659 Loss_D_fake 0.002023
[971/5000][145/535][100062] Loss_D: -0.022991 Loss_G: 0.009802 Loss_D_real: -0.019670 Loss_D_fake 0.003321
[971/5000][150/535][100063] Loss_D: -0.023195 Loss_G: -0.003528 Loss_D_real: -0.019139 Loss_D_fake 0.004057
[971/5000][155/535][100064] Loss_D: -0.023646 Loss_G: -0.001938 Loss_D_real: -0.012700 Loss_D_fake 0.010947
[971/5000][160/535][100065] Loss_D: -0.021736 Loss_G: -0.009980 Loss_D_real: -0.000657 Loss_D_fake 0.021079
[971/5000][165/535][100066] Loss_D: -0.021417 Loss_G: 0.013737 Loss_D_real: -0.030717 Loss_D_fake -0.009300
[971/5000][170/535][100067] Loss_D: -0.022551 Loss_G: 0.021711 Loss_D_real: -0.023952 Loss_D_fake -0.001402
[971/5000][175/535][100068] Loss_D: -0.023321 Loss_G: 0.012621 Loss_D_real: -0.007566 Loss_D_fake 0.015755
[971/5000][180/535][100069] Loss_D: -0.021247 Loss_G: 0.018362 Loss_D_real: -0.032673 Loss_D_fake -0.011426
[971/5000][185/535][100070] Loss_D: -0.022396 Loss_G: 0.015800 Loss_D_real: -0.019704 Loss_D_fake 0.002692
[971/5000][190/535][100071] Loss_D: -0.021769 Loss_G: 0.000810 Loss_D_real: -0.013459 Loss_D_fake 0.008310
[971/5000][195/535][100072] Loss_D: -0.021091 Loss_G: 0.015270 Loss_D_real: -0.030971 Loss_D_fake -0.009880
[971/5000][200/535][100073] Loss_D: -0.023143 Loss_G: 0.007470 Loss_D_real: -0.015338 Loss_D_fake 0.007805
[971/5000][205/535][100074] Loss_D: -0.022348 Loss_G: 0.005640 Loss_D_real: -0.028104 Loss_D_fake -0.005756
[971/5000][210/535][100075] Loss_D: -0.022905 Loss_G: 0.008426 Loss_D_real: -0.026649 Loss_D_fake -0.003744
[971/5000][215/535][100076] Loss_D: -0.023952 Loss_G: 0.010049 Loss_D_real: -0.014950 Loss_D_fake 0.009002
[971/5000][220/535][100077] Loss_D: -0.022586 Loss_G: 0.009767 Loss_D_real: -0.018588 Loss_D_fake 0.003998
[971/5000][225/535][100078] Loss_D: -0.022157 Loss_G: 0.017874 Loss_D_real: -0.029535 Loss_D_fake -0.007378
[971/5000][230/535][100079] Loss_D: -0.023810 Loss_G: 0.015517 Loss_D_real: -0.024117 Loss_D_fake -0.000308
[971/5000][235/535][100080] Loss_D: -0.023591 Loss_G: -0.005737 Loss_D_real: -0.017779 Loss_D_fake 0.005812
[971/5000][240/535][100081] Loss_D: -0.022550 Loss_G: 0.004471 Loss_D_real: -0.024455 Loss_D_fake -0.001905
[971/5000][245/535][100082] Loss_D: -0.023170 Loss_G: 0.009254 Loss_D_real: -0.026835 Loss_D_fake -0.003665
[971/5000][250/535][100083] Loss_D: -0.022725 Loss_G: 0.020554 Loss_D_real: -0.026393 Loss_D_fake -0.003668
[971/5000][255/535][100084] Loss_D: -0.022519 Loss_G: 0.022659 Loss_D_real: -0.035537 Loss_D_fake -0.013018
[971/5000][260/535][100085] Loss_D: -0.023557 Loss_G: -0.004762 Loss_D_real: -0.018596 Loss_D_fake 0.004961
[971/5000][265/535][100086] Loss_D: -0.022258 Loss_G: 0.014402 Loss_D_real: -0.027923 Loss_D_fake -0.005665
[971/5000][270/535][100087] Loss_D: -0.023453 Loss_G: 0.008862 Loss_D_real: -0.026407 Loss_D_fake -0.002953
[971/5000][275/535][100088] Loss_D: -0.022500 Loss_G: 0.007455 Loss_D_real: -0.009115 Loss_D_fake 0.013386
[971/5000][280/535][100089] Loss_D: -0.021664 Loss_G: 0.015990 Loss_D_real: -0.034758 Loss_D_fake -0.013094
[971/5000][285/535][100090] Loss_D: -0.021514 Loss_G: 0.020288 Loss_D_real: -0.024678 Loss_D_fake -0.003164
[971/5000][290/535][100091] Loss_D: -0.022364 Loss_G: 0.007577 Loss_D_real: -0.016571 Loss_D_fake 0.005793
[971/5000][295/535][100092] Loss_D: -0.024427 Loss_G: 0.004169 Loss_D_real: -0.025293 Loss_D_fake -0.000866
[971/5000][300/535][100093] Loss_D: -0.022169 Loss_G: 0.007081 Loss_D_real: -0.027180 Loss_D_fake -0.005010
[971/5000][305/535][100094] Loss_D: -0.022666 Loss_G: 0.005633 Loss_D_real: -0.011382 Loss_D_fake 0.011284
[971/5000][310/535][100095] Loss_D: -0.021771 Loss_G: 0.016936 Loss_D_real: -0.011639 Loss_D_fake 0.010132
[971/5000][315/535][100096] Loss_D: -0.022609 Loss_G: -0.003598 Loss_D_real: -0.008230 Loss_D_fake 0.014380
[971/5000][320/535][100097] Loss_D: -0.022115 Loss_G: 0.005352 Loss_D_real: -0.014351 Loss_D_fake 0.007764
[971/5000][325/535][100098] Loss_D: -0.023751 Loss_G: 0.003536 Loss_D_real: -0.018219 Loss_D_fake 0.005532
[971/5000][330/535][100099] Loss_D: -0.021354 Loss_G: 0.024646 Loss_D_real: -0.029902 Loss_D_fake -0.008548
[971/5000][335/535][100100] Loss_D: -0.022904 Loss_G: -0.003095 Loss_D_real: -0.013680 Loss_D_fake 0.009224
[971/5000][340/535][100101] Loss_D: -0.020482 Loss_G: -0.022257 Loss_D_real: 0.006269 Loss_D_fake 0.026751
[971/5000][345/535][100102] Loss_D: -0.023071 Loss_G: 0.009243 Loss_D_real: -0.013813 Loss_D_fake 0.009257
[971/5000][350/535][100103] Loss_D: -0.021878 Loss_G: 0.016010 Loss_D_real: -0.031400 Loss_D_fake -0.009522
[971/5000][355/535][100104] Loss_D: -0.023710 Loss_G: 0.007627 Loss_D_real: -0.018688 Loss_D_fake 0.005022
[971/5000][360/535][100105] Loss_D: -0.021900 Loss_G: -0.006403 Loss_D_real: -0.015635 Loss_D_fake 0.006265
[971/5000][365/535][100106] Loss_D: -0.022689 Loss_G: 0.014742 Loss_D_real: -0.025643 Loss_D_fake -0.002954
[971/5000][370/535][100107] Loss_D: -0.022047 Loss_G: 0.030062 Loss_D_real: -0.031639 Loss_D_fake -0.009592
[971/5000][375/535][100108] Loss_D: -0.024007 Loss_G: 0.001747 Loss_D_real: -0.014137 Loss_D_fake 0.009869
[971/5000][380/535][100109] Loss_D: -0.022929 Loss_G: -0.003046 Loss_D_real: -0.018355 Loss_D_fake 0.004575
[971/5000][385/535][100110] Loss_D: -0.021073 Loss_G: -0.018185 Loss_D_real: 0.003371 Loss_D_fake 0.024444
[971/5000][390/535][100111] Loss_D: -0.020685 Loss_G: 0.006741 Loss_D_real: -0.025622 Loss_D_fake -0.004938
[971/5000][395/535][100112] Loss_D: -0.021988 Loss_G: 0.000851 Loss_D_real: -0.012172 Loss_D_fake 0.009816
[971/5000][400/535][100113] Loss_D: -0.021077 Loss_G: 0.015988 Loss_D_real: -0.021998 Loss_D_fake -0.000921
[971/5000][405/535][100114] Loss_D: -0.024272 Loss_G: 0.019163 Loss_D_real: -0.017528 Loss_D_fake 0.006745
[971/5000][410/535][100115] Loss_D: -0.023291 Loss_G: 0.019596 Loss_D_real: -0.033619 Loss_D_fake -0.010328
[971/5000][415/535][100116] Loss_D: -0.024085 Loss_G: 0.010395 Loss_D_real: -0.023806 Loss_D_fake 0.000279
[971/5000][420/535][100117] Loss_D: -0.024018 Loss_G: 0.002683 Loss_D_real: -0.018199 Loss_D_fake 0.005820
[971/5000][425/535][100118] Loss_D: -0.024722 Loss_G: 0.000661 Loss_D_real: -0.022072 Loss_D_fake 0.002650
[971/5000][430/535][100119] Loss_D: -0.024039 Loss_G: 0.013274 Loss_D_real: -0.025711 Loss_D_fake -0.001672
[971/5000][435/535][100120] Loss_D: -0.023372 Loss_G: 0.011575 Loss_D_real: -0.022804 Loss_D_fake 0.000567
[971/5000][440/535][100121] Loss_D: -0.023009 Loss_G: 0.017073 Loss_D_real: -0.031434 Loss_D_fake -0.008426
[971/5000][445/535][100122] Loss_D: -0.023864 Loss_G: 0.007357 Loss_D_real: -0.021733 Loss_D_fake 0.002131
[971/5000][450/535][100123] Loss_D: -0.022893 Loss_G: 0.014978 Loss_D_real: -0.022602 Loss_D_fake 0.000291
[971/5000][455/535][100124] Loss_D: -0.021776 Loss_G: -0.005689 Loss_D_real: -0.016935 Loss_D_fake 0.004841
[971/5000][460/535][100125] Loss_D: -0.023052 Loss_G: 0.007223 Loss_D_real: -0.023926 Loss_D_fake -0.000874
[971/5000][465/535][100126] Loss_D: -0.022368 Loss_G: 0.013332 Loss_D_real: -0.021549 Loss_D_fake 0.000819
[971/5000][470/535][100127] Loss_D: -0.022432 Loss_G: -0.011276 Loss_D_real: -0.006290 Loss_D_fake 0.016142
[971/5000][475/535][100128] Loss_D: -0.022870 Loss_G: -0.006519 Loss_D_real: -0.021768 Loss_D_fake 0.001102
[971/5000][480/535][100129] Loss_D: -0.023289 Loss_G: 0.021932 Loss_D_real: -0.023897 Loss_D_fake -0.000608
[971/5000][485/535][100130] Loss_D: -0.022286 Loss_G: -0.010056 Loss_D_real: -0.009048 Loss_D_fake 0.013238
[971/5000][490/535][100131] Loss_D: -0.022502 Loss_G: 0.016162 Loss_D_real: -0.022141 Loss_D_fake 0.000361
[971/5000][495/535][100132] Loss_D: -0.023253 Loss_G: 0.007229 Loss_D_real: -0.017735 Loss_D_fake 0.005518
[971/5000][500/535][100133] Loss_D: -0.021446 Loss_G: 0.012056 Loss_D_real: -0.024667 Loss_D_fake -0.003221
[971/5000][505/535][100134] Loss_D: -0.021703 Loss_G: 0.022293 Loss_D_real: -0.036666 Loss_D_fake -0.014963
[971/5000][510/535][100135] Loss_D: -0.022302 Loss_G: 0.008040 Loss_D_real: -0.019695 Loss_D_fake 0.002607
[971/5000][515/535][100136] Loss_D: -0.020287 Loss_G: 0.028742 Loss_D_real: -0.028384 Loss_D_fake -0.008097
[971/5000][520/535][100137] Loss_D: -0.023538 Loss_G: -0.006014 Loss_D_real: -0.016198 Loss_D_fake 0.007339
[971/5000][525/535][100138] Loss_D: -0.022268 Loss_G: 0.010438 Loss_D_real: -0.020612 Loss_D_fake 0.001656
[971/5000][530/535][100139] Loss_D: -0.022509 Loss_G: -0.008805 Loss_D_real: -0.009511 Loss_D_fake 0.012998
[971/5000][535/535][100140] Loss_D: -0.027912 Loss_G: 0.006134 Loss_D_real: -0.008691 Loss_D_fake 0.019221
[972/5000][5/535][100141] Loss_D: -0.022536 Loss_G: 0.002878 Loss_D_real: -0.013677 Loss_D_fake 0.008858
[972/5000][10/535][100142] Loss_D: -0.022937 Loss_G: 0.008071 Loss_D_real: -0.019865 Loss_D_fake 0.003072
[972/5000][15/535][100143] Loss_D: -0.022621 Loss_G: 0.006430 Loss_D_real: -0.018539 Loss_D_fake 0.004081
[972/5000][20/535][100144] Loss_D: -0.022435 Loss_G: -0.005710 Loss_D_real: -0.017959 Loss_D_fake 0.004475
[972/5000][25/535][100145] Loss_D: -0.024220 Loss_G: 0.018101 Loss_D_real: -0.019643 Loss_D_fake 0.004577
[972/5000][30/535][100146] Loss_D: -0.022349 Loss_G: -0.005217 Loss_D_real: -0.009062 Loss_D_fake 0.013286
[972/5000][35/535][100147] Loss_D: -0.022794 Loss_G: 0.012834 Loss_D_real: -0.030421 Loss_D_fake -0.007628
[972/5000][40/535][100148] Loss_D: -0.021975 Loss_G: 0.014947 Loss_D_real: -0.031508 Loss_D_fake -0.009533
[972/5000][45/535][100149] Loss_D: -0.022098 Loss_G: -0.009332 Loss_D_real: -0.008697 Loss_D_fake 0.013401
[972/5000][50/535][100150] Loss_D: -0.023088 Loss_G: 0.001893 Loss_D_real: -0.017681 Loss_D_fake 0.005407
[972/5000][55/535][100151] Loss_D: -0.022338 Loss_G: 0.009103 Loss_D_real: -0.022207 Loss_D_fake 0.000131
[972/5000][60/535][100152] Loss_D: -0.022803 Loss_G: 0.012934 Loss_D_real: -0.018869 Loss_D_fake 0.003934
[972/5000][65/535][100153] Loss_D: -0.022122 Loss_G: 0.011114 Loss_D_real: -0.024196 Loss_D_fake -0.002074
[972/5000][70/535][100154] Loss_D: -0.022942 Loss_G: 0.001802 Loss_D_real: -0.004026 Loss_D_fake 0.018916
[972/5000][75/535][100155] Loss_D: -0.022808 Loss_G: 0.008563 Loss_D_real: -0.016099 Loss_D_fake 0.006709
[972/5000][80/535][100156] Loss_D: -0.023395 Loss_G: -0.002047 Loss_D_real: -0.024508 Loss_D_fake -0.001113
[972/5000][85/535][100157] Loss_D: -0.022734 Loss_G: 0.010225 Loss_D_real: -0.028926 Loss_D_fake -0.006191
[972/5000][90/535][100158] Loss_D: -0.021920 Loss_G: 0.014460 Loss_D_real: -0.025982 Loss_D_fake -0.004062
[972/5000][95/535][100159] Loss_D: -0.023274 Loss_G: 0.020200 Loss_D_real: -0.026271 Loss_D_fake -0.002997
[972/5000][100/535][100160] Loss_D: -0.022260 Loss_G: 0.011909 Loss_D_real: -0.022625 Loss_D_fake -0.000365
[972/5000][105/535][100161] Loss_D: -0.022823 Loss_G: 0.009191 Loss_D_real: -0.023801 Loss_D_fake -0.000978
[972/5000][110/535][100162] Loss_D: -0.021042 Loss_G: 0.011330 Loss_D_real: -0.021699 Loss_D_fake -0.000657
[972/5000][115/535][100163] Loss_D: -0.023858 Loss_G: -0.014398 Loss_D_real: -0.009617 Loss_D_fake 0.014241
[972/5000][120/535][100164] Loss_D: -0.021701 Loss_G: -0.000065 Loss_D_real: -0.012827 Loss_D_fake 0.008874
[972/5000][125/535][100165] Loss_D: -0.023727 Loss_G: 0.018367 Loss_D_real: -0.021320 Loss_D_fake 0.002408
[972/5000][130/535][100166] Loss_D: -0.022630 Loss_G: 0.000926 Loss_D_real: -0.025964 Loss_D_fake -0.003334
[972/5000][135/535][100167] Loss_D: -0.023631 Loss_G: 0.005947 Loss_D_real: -0.010310 Loss_D_fake 0.013321
[972/5000][140/535][100168] Loss_D: -0.022600 Loss_G: -0.002806 Loss_D_real: -0.005349 Loss_D_fake 0.017251
[972/5000][145/535][100169] Loss_D: -0.021633 Loss_G: 0.021870 Loss_D_real: -0.016130 Loss_D_fake 0.005502
[972/5000][150/535][100170] Loss_D: -0.023444 Loss_G: -0.006970 Loss_D_real: -0.017831 Loss_D_fake 0.005612
[972/5000][155/535][100171] Loss_D: -0.022322 Loss_G: 0.023386 Loss_D_real: -0.030831 Loss_D_fake -0.008509
[972/5000][160/535][100172] Loss_D: -0.023621 Loss_G: 0.008787 Loss_D_real: -0.027815 Loss_D_fake -0.004194
[972/5000][165/535][100173] Loss_D: -0.022382 Loss_G: 0.000696 Loss_D_real: -0.006011 Loss_D_fake 0.016372
[972/5000][170/535][100174] Loss_D: -0.021928 Loss_G: 0.003315 Loss_D_real: -0.021388 Loss_D_fake 0.000540
[972/5000][175/535][100175] Loss_D: -0.023510 Loss_G: -0.007705 Loss_D_real: -0.018818 Loss_D_fake 0.004692
[972/5000][180/535][100176] Loss_D: -0.022554 Loss_G: 0.009752 Loss_D_real: -0.030197 Loss_D_fake -0.007643
[972/5000][185/535][100177] Loss_D: -0.021931 Loss_G: 0.026184 Loss_D_real: -0.031458 Loss_D_fake -0.009527
[972/5000][190/535][100178] Loss_D: -0.023068 Loss_G: -0.000479 Loss_D_real: -0.014084 Loss_D_fake 0.008984
[972/5000][195/535][100179] Loss_D: -0.022394 Loss_G: -0.007390 Loss_D_real: -0.007462 Loss_D_fake 0.014931
[972/5000][200/535][100180] Loss_D: -0.023360 Loss_G: 0.024646 Loss_D_real: -0.030560 Loss_D_fake -0.007200
[972/5000][205/535][100181] Loss_D: -0.021549 Loss_G: -0.003611 Loss_D_real: -0.015075 Loss_D_fake 0.006475
[972/5000][210/535][100182] Loss_D: -0.022395 Loss_G: 0.017154 Loss_D_real: -0.027331 Loss_D_fake -0.004936
[972/5000][215/535][100183] Loss_D: -0.022894 Loss_G: 0.002096 Loss_D_real: -0.001261 Loss_D_fake 0.021633
[972/5000][220/535][100184] Loss_D: -0.023257 Loss_G: 0.004086 Loss_D_real: -0.017840 Loss_D_fake 0.005417
[972/5000][225/535][100185] Loss_D: -0.023564 Loss_G: 0.016924 Loss_D_real: -0.024950 Loss_D_fake -0.001386
[972/5000][230/535][100186] Loss_D: -0.021992 Loss_G: -0.002794 Loss_D_real: -0.022295 Loss_D_fake -0.000303
[972/5000][235/535][100187] Loss_D: -0.023665 Loss_G: -0.006630 Loss_D_real: -0.007878 Loss_D_fake 0.015786
[972/5000][240/535][100188] Loss_D: -0.024328 Loss_G: 0.019418 Loss_D_real: -0.014883 Loss_D_fake 0.009445
[972/5000][245/535][100189] Loss_D: -0.023398 Loss_G: 0.018112 Loss_D_real: -0.030362 Loss_D_fake -0.006964
[972/5000][250/535][100190] Loss_D: -0.022973 Loss_G: 0.008335 Loss_D_real: -0.028316 Loss_D_fake -0.005343
[972/5000][255/535][100191] Loss_D: -0.022683 Loss_G: -0.009611 Loss_D_real: -0.014768 Loss_D_fake 0.007916
[972/5000][260/535][100192] Loss_D: -0.022263 Loss_G: 0.010818 Loss_D_real: -0.011806 Loss_D_fake 0.010457
[972/5000][265/535][100193] Loss_D: -0.022408 Loss_G: 0.003787 Loss_D_real: -0.016478 Loss_D_fake 0.005930
[972/5000][270/535][100194] Loss_D: -0.022973 Loss_G: 0.022288 Loss_D_real: -0.016958 Loss_D_fake 0.006015
[972/5000][275/535][100195] Loss_D: -0.022690 Loss_G: -0.003932 Loss_D_real: -0.010572 Loss_D_fake 0.012118
[972/5000][280/535][100196] Loss_D: -0.023334 Loss_G: 0.005625 Loss_D_real: -0.014093 Loss_D_fake 0.009242
[972/5000][285/535][100197] Loss_D: -0.021454 Loss_G: 0.018580 Loss_D_real: -0.023248 Loss_D_fake -0.001794
[972/5000][290/535][100198] Loss_D: -0.022366 Loss_G: 0.006624 Loss_D_real: -0.009759 Loss_D_fake 0.012608
[972/5000][295/535][100199] Loss_D: -0.022426 Loss_G: 0.020915 Loss_D_real: -0.029735 Loss_D_fake -0.007309
[972/5000][300/535][100200] Loss_D: -0.023819 Loss_G: 0.009432 Loss_D_real: -0.026845 Loss_D_fake -0.003025
[972/5000][305/535][100201] Loss_D: -0.022270 Loss_G: 0.016530 Loss_D_real: -0.024609 Loss_D_fake -0.002339
[972/5000][310/535][100202] Loss_D: -0.024789 Loss_G: 0.004451 Loss_D_real: -0.033865 Loss_D_fake -0.009076
[972/5000][315/535][100203] Loss_D: -0.024197 Loss_G: -0.013343 Loss_D_real: -0.014545 Loss_D_fake 0.009652
[972/5000][320/535][100204] Loss_D: -0.023064 Loss_G: 0.007172 Loss_D_real: -0.013798 Loss_D_fake 0.009266
[972/5000][325/535][100205] Loss_D: -0.023521 Loss_G: 0.021842 Loss_D_real: -0.020911 Loss_D_fake 0.002609
[972/5000][330/535][100206] Loss_D: -0.020468 Loss_G: 0.030856 Loss_D_real: -0.025234 Loss_D_fake -0.004766
[972/5000][335/535][100207] Loss_D: -0.023840 Loss_G: 0.003312 Loss_D_real: -0.023302 Loss_D_fake 0.000537
[972/5000][340/535][100208] Loss_D: -0.022224 Loss_G: 0.017728 Loss_D_real: -0.031060 Loss_D_fake -0.008836
[972/5000][345/535][100209] Loss_D: -0.022772 Loss_G: 0.008433 Loss_D_real: -0.029195 Loss_D_fake -0.006423
[972/5000][350/535][100210] Loss_D: -0.023408 Loss_G: 0.001139 Loss_D_real: -0.009850 Loss_D_fake 0.013558
[972/5000][355/535][100211] Loss_D: -0.023160 Loss_G: 0.009843 Loss_D_real: -0.028829 Loss_D_fake -0.005668
[972/5000][360/535][100212] Loss_D: -0.023889 Loss_G: -0.004939 Loss_D_real: -0.012438 Loss_D_fake 0.011451
[972/5000][365/535][100213] Loss_D: -0.023933 Loss_G: 0.003773 Loss_D_real: -0.021353 Loss_D_fake 0.002580
[972/5000][370/535][100214] Loss_D: -0.022399 Loss_G: 0.014204 Loss_D_real: -0.015761 Loss_D_fake 0.006638
[972/5000][375/535][100215] Loss_D: -0.020950 Loss_G: 0.016983 Loss_D_real: -0.019060 Loss_D_fake 0.001891
[972/5000][380/535][100216] Loss_D: -0.022343 Loss_G: 0.006961 Loss_D_real: -0.021887 Loss_D_fake 0.000456
[972/5000][385/535][100217] Loss_D: -0.022490 Loss_G: 0.022128 Loss_D_real: -0.027746 Loss_D_fake -0.005256
[972/5000][390/535][100218] Loss_D: -0.023833 Loss_G: -0.011035 Loss_D_real: -0.015168 Loss_D_fake 0.008665
[972/5000][395/535][100219] Loss_D: -0.021955 Loss_G: -0.008863 Loss_D_real: -0.004564 Loss_D_fake 0.017391
[972/5000][400/535][100220] Loss_D: -0.021934 Loss_G: 0.015546 Loss_D_real: -0.025953 Loss_D_fake -0.004019
[972/5000][405/535][100221] Loss_D: -0.021361 Loss_G: 0.007832 Loss_D_real: -0.020403 Loss_D_fake 0.000958
[972/5000][410/535][100222] Loss_D: -0.023602 Loss_G: 0.005694 Loss_D_real: -0.026048 Loss_D_fake -0.002446
[972/5000][415/535][100223] Loss_D: -0.023426 Loss_G: 0.000170 Loss_D_real: -0.022622 Loss_D_fake 0.000804
[972/5000][420/535][100224] Loss_D: -0.022771 Loss_G: 0.002364 Loss_D_real: -0.013670 Loss_D_fake 0.009101
[972/5000][425/535][100225] Loss_D: -0.023222 Loss_G: -0.002435 Loss_D_real: -0.010434 Loss_D_fake 0.012788
[972/5000][430/535][100226] Loss_D: -0.024185 Loss_G: 0.015896 Loss_D_real: -0.030826 Loss_D_fake -0.006642
[972/5000][435/535][100227] Loss_D: -0.021960 Loss_G: -0.005908 Loss_D_real: -0.002669 Loss_D_fake 0.019292
[972/5000][440/535][100228] Loss_D: -0.022846 Loss_G: 0.021069 Loss_D_real: -0.022805 Loss_D_fake 0.000041
[972/5000][445/535][100229] Loss_D: -0.021769 Loss_G: -0.011859 Loss_D_real: -0.003974 Loss_D_fake 0.017795
[972/5000][450/535][100230] Loss_D: -0.022941 Loss_G: 0.021081 Loss_D_real: -0.028872 Loss_D_fake -0.005931
[972/5000][455/535][100231] Loss_D: -0.023357 Loss_G: 0.007508 Loss_D_real: -0.012771 Loss_D_fake 0.010586
[972/5000][460/535][100232] Loss_D: -0.023684 Loss_G: 0.003879 Loss_D_real: -0.019186 Loss_D_fake 0.004498
[972/5000][465/535][100233] Loss_D: -0.022380 Loss_G: 0.001441 Loss_D_real: -0.024982 Loss_D_fake -0.002602
[972/5000][470/535][100234] Loss_D: -0.024075 Loss_G: 0.010341 Loss_D_real: -0.026781 Loss_D_fake -0.002706
[972/5000][475/535][100235] Loss_D: -0.023384 Loss_G: 0.008112 Loss_D_real: -0.014830 Loss_D_fake 0.008554
[972/5000][480/535][100236] Loss_D: -0.021486 Loss_G: 0.010655 Loss_D_real: -0.020061 Loss_D_fake 0.001425
[972/5000][485/535][100237] Loss_D: -0.020935 Loss_G: 0.009393 Loss_D_real: -0.036796 Loss_D_fake -0.015860
[972/5000][490/535][100238] Loss_D: -0.021827 Loss_G: -0.011685 Loss_D_real: -0.007260 Loss_D_fake 0.014567
[972/5000][495/535][100239] Loss_D: -0.022223 Loss_G: 0.010010 Loss_D_real: -0.011472 Loss_D_fake 0.010750
[972/5000][500/535][100240] Loss_D: -0.022379 Loss_G: 0.007021 Loss_D_real: -0.023848 Loss_D_fake -0.001469
[972/5000][505/535][100241] Loss_D: -0.022254 Loss_G: 0.001870 Loss_D_real: -0.014822 Loss_D_fake 0.007432
[972/5000][510/535][100242] Loss_D: -0.022792 Loss_G: 0.013297 Loss_D_real: -0.009767 Loss_D_fake 0.013025
[972/5000][515/535][100243] Loss_D: -0.022696 Loss_G: 0.010544 Loss_D_real: -0.012639 Loss_D_fake 0.010058
[972/5000][520/535][100244] Loss_D: -0.022152 Loss_G: 0.004207 Loss_D_real: -0.021245 Loss_D_fake 0.000907
[972/5000][525/535][100245] Loss_D: -0.023991 Loss_G: 0.007235 Loss_D_real: -0.020656 Loss_D_fake 0.003335
[972/5000][530/535][100246] Loss_D: -0.023107 Loss_G: 0.026159 Loss_D_real: -0.032443 Loss_D_fake -0.009336
[972/5000][535/535][100247] Loss_D: -0.023858 Loss_G: 0.022065 Loss_D_real: -0.021239 Loss_D_fake 0.002620
[973/5000][5/535][100248] Loss_D: -0.023224 Loss_G: 0.012438 Loss_D_real: -0.024364 Loss_D_fake -0.001141
[973/5000][10/535][100249] Loss_D: -0.021777 Loss_G: 0.022536 Loss_D_real: -0.030392 Loss_D_fake -0.008615
[973/5000][15/535][100250] Loss_D: -0.023736 Loss_G: -0.004885 Loss_D_real: -0.023215 Loss_D_fake 0.000521
[973/5000][20/535][100251] Loss_D: -0.022480 Loss_G: 0.004900 Loss_D_real: -0.007642 Loss_D_fake 0.014839
[973/5000][25/535][100252] Loss_D: -0.022209 Loss_G: -0.003630 Loss_D_real: -0.007809 Loss_D_fake 0.014400
[973/5000][30/535][100253] Loss_D: -0.022573 Loss_G: -0.000091 Loss_D_real: -0.012290 Loss_D_fake 0.010282
[973/5000][35/535][100254] Loss_D: -0.022822 Loss_G: 0.010799 Loss_D_real: -0.013070 Loss_D_fake 0.009751
[973/5000][40/535][100255] Loss_D: -0.022697 Loss_G: 0.011120 Loss_D_real: -0.033022 Loss_D_fake -0.010325
[973/5000][45/535][100256] Loss_D: -0.021898 Loss_G: 0.014955 Loss_D_real: -0.028501 Loss_D_fake -0.006604
[973/5000][50/535][100257] Loss_D: -0.024382 Loss_G: 0.005045 Loss_D_real: -0.012761 Loss_D_fake 0.011621
[973/5000][55/535][100258] Loss_D: -0.022713 Loss_G: -0.000335 Loss_D_real: -0.007615 Loss_D_fake 0.015098
[973/5000][60/535][100259] Loss_D: -0.021776 Loss_G: 0.019294 Loss_D_real: -0.024186 Loss_D_fake -0.002410
[973/5000][65/535][100260] Loss_D: -0.022344 Loss_G: -0.007640 Loss_D_real: -0.013687 Loss_D_fake 0.008657
[973/5000][70/535][100261] Loss_D: -0.022949 Loss_G: 0.010976 Loss_D_real: -0.019828 Loss_D_fake 0.003121
[973/5000][75/535][100262] Loss_D: -0.021169 Loss_G: 0.025085 Loss_D_real: -0.038229 Loss_D_fake -0.017060
[973/5000][80/535][100263] Loss_D: -0.021342 Loss_G: 0.007648 Loss_D_real: -0.016753 Loss_D_fake 0.004589
[973/5000][85/535][100264] Loss_D: -0.021335 Loss_G: 0.018317 Loss_D_real: -0.026015 Loss_D_fake -0.004680
[973/5000][90/535][100265] Loss_D: -0.022907 Loss_G: 0.008952 Loss_D_real: -0.020505 Loss_D_fake 0.002403
[973/5000][95/535][100266] Loss_D: -0.023018 Loss_G: -0.004454 Loss_D_real: -0.004509 Loss_D_fake 0.018509
[973/5000][100/535][100267] Loss_D: -0.023994 Loss_G: 0.015750 Loss_D_real: -0.032117 Loss_D_fake -0.008123
[973/5000][105/535][100268] Loss_D: -0.023913 Loss_G: 0.019102 Loss_D_real: -0.025375 Loss_D_fake -0.001462
[973/5000][110/535][100269] Loss_D: -0.025221 Loss_G: 0.008759 Loss_D_real: -0.020057 Loss_D_fake 0.005164
[973/5000][115/535][100270] Loss_D: -0.023797 Loss_G: 0.010739 Loss_D_real: -0.024283 Loss_D_fake -0.000486
[973/5000][120/535][100271] Loss_D: -0.024492 Loss_G: 0.012334 Loss_D_real: -0.034174 Loss_D_fake -0.009682
[973/5000][125/535][100272] Loss_D: -0.023323 Loss_G: 0.017104 Loss_D_real: -0.022526 Loss_D_fake 0.000797
[973/5000][130/535][100273] Loss_D: -0.023613 Loss_G: 0.021441 Loss_D_real: -0.030417 Loss_D_fake -0.006804
[973/5000][135/535][100274] Loss_D: -0.024495 Loss_G: -0.010832 Loss_D_real: -0.019577 Loss_D_fake 0.004918
[973/5000][140/535][100275] Loss_D: -0.021583 Loss_G: 0.014737 Loss_D_real: -0.030521 Loss_D_fake -0.008939
[973/5000][145/535][100276] Loss_D: -0.024820 Loss_G: 0.004144 Loss_D_real: -0.018594 Loss_D_fake 0.006226
[973/5000][150/535][100277] Loss_D: -0.023725 Loss_G: 0.012899 Loss_D_real: -0.018731 Loss_D_fake 0.004995
[973/5000][155/535][100278] Loss_D: -0.024175 Loss_G: 0.017950 Loss_D_real: -0.033148 Loss_D_fake -0.008973
[973/5000][160/535][100279] Loss_D: -0.023450 Loss_G: 0.021460 Loss_D_real: -0.030773 Loss_D_fake -0.007322
[973/5000][165/535][100280] Loss_D: -0.023305 Loss_G: 0.007049 Loss_D_real: -0.011590 Loss_D_fake 0.011715
[973/5000][170/535][100281] Loss_D: -0.021581 Loss_G: 0.025875 Loss_D_real: -0.023097 Loss_D_fake -0.001516
[973/5000][175/535][100282] Loss_D: -0.023488 Loss_G: -0.002073 Loss_D_real: -0.016398 Loss_D_fake 0.007091
[973/5000][180/535][100283] Loss_D: -0.022100 Loss_G: 0.003484 Loss_D_real: -0.015700 Loss_D_fake 0.006400
[973/5000][185/535][100284] Loss_D: -0.022107 Loss_G: 0.013369 Loss_D_real: -0.035824 Loss_D_fake -0.013717
[973/5000][190/535][100285] Loss_D: -0.022015 Loss_G: 0.018837 Loss_D_real: -0.026775 Loss_D_fake -0.004761
[973/5000][195/535][100286] Loss_D: -0.023261 Loss_G: 0.008272 Loss_D_real: -0.025949 Loss_D_fake -0.002688
[973/5000][200/535][100287] Loss_D: -0.023071 Loss_G: 0.010419 Loss_D_real: -0.017857 Loss_D_fake 0.005215
[973/5000][205/535][100288] Loss_D: -0.023484 Loss_G: 0.006893 Loss_D_real: -0.022880 Loss_D_fake 0.000604
[973/5000][210/535][100289] Loss_D: -0.023357 Loss_G: 0.018983 Loss_D_real: -0.024105 Loss_D_fake -0.000749
[973/5000][215/535][100290] Loss_D: -0.024041 Loss_G: 0.016754 Loss_D_real: -0.017202 Loss_D_fake 0.006839
[973/5000][220/535][100291] Loss_D: -0.022562 Loss_G: 0.015493 Loss_D_real: -0.026760 Loss_D_fake -0.004198
[973/5000][225/535][100292] Loss_D: -0.023544 Loss_G: -0.003001 Loss_D_real: -0.024129 Loss_D_fake -0.000585
[973/5000][230/535][100293] Loss_D: -0.022642 Loss_G: 0.013998 Loss_D_real: -0.019501 Loss_D_fake 0.003141
[973/5000][235/535][100294] Loss_D: -0.021902 Loss_G: 0.022461 Loss_D_real: -0.027458 Loss_D_fake -0.005556
[973/5000][240/535][100295] Loss_D: -0.023435 Loss_G: 0.008597 Loss_D_real: -0.015247 Loss_D_fake 0.008188
[973/5000][245/535][100296] Loss_D: -0.020676 Loss_G: -0.021310 Loss_D_real: -0.000037 Loss_D_fake 0.020640
[973/5000][250/535][100297] Loss_D: -0.021242 Loss_G: 0.012278 Loss_D_real: -0.024456 Loss_D_fake -0.003214
[973/5000][255/535][100298] Loss_D: -0.023397 Loss_G: 0.006231 Loss_D_real: -0.023617 Loss_D_fake -0.000220
[973/5000][260/535][100299] Loss_D: -0.022898 Loss_G: 0.019886 Loss_D_real: -0.022485 Loss_D_fake 0.000414
[973/5000][265/535][100300] Loss_D: -0.021559 Loss_G: 0.022059 Loss_D_real: -0.030295 Loss_D_fake -0.008736
[973/5000][270/535][100301] Loss_D: -0.023136 Loss_G: 0.013315 Loss_D_real: -0.015930 Loss_D_fake 0.007205
[973/5000][275/535][100302] Loss_D: -0.021634 Loss_G: -0.007540 Loss_D_real: -0.012126 Loss_D_fake 0.009508
[973/5000][280/535][100303] Loss_D: -0.022445 Loss_G: 0.017855 Loss_D_real: -0.029839 Loss_D_fake -0.007393
[973/5000][285/535][100304] Loss_D: -0.023631 Loss_G: 0.013977 Loss_D_real: -0.028628 Loss_D_fake -0.004997
[973/5000][290/535][100305] Loss_D: -0.022046 Loss_G: -0.015714 Loss_D_real: -0.004651 Loss_D_fake 0.017395
[973/5000][295/535][100306] Loss_D: -0.022470 Loss_G: 0.004249 Loss_D_real: -0.017956 Loss_D_fake 0.004514
[973/5000][300/535][100307] Loss_D: -0.020705 Loss_G: 0.017235 Loss_D_real: -0.026785 Loss_D_fake -0.006080
[973/5000][305/535][100308] Loss_D: -0.023100 Loss_G: 0.008587 Loss_D_real: -0.023026 Loss_D_fake 0.000073
[973/5000][310/535][100309] Loss_D: -0.023676 Loss_G: 0.019479 Loss_D_real: -0.021207 Loss_D_fake 0.002469
[973/5000][315/535][100310] Loss_D: -0.023680 Loss_G: 0.004856 Loss_D_real: -0.018435 Loss_D_fake 0.005245
[973/5000][320/535][100311] Loss_D: -0.021415 Loss_G: 0.026586 Loss_D_real: -0.025819 Loss_D_fake -0.004404
[973/5000][325/535][100312] Loss_D: -0.021443 Loss_G: 0.020804 Loss_D_real: -0.036793 Loss_D_fake -0.015350
[973/5000][330/535][100313] Loss_D: -0.022886 Loss_G: -0.005153 Loss_D_real: -0.017382 Loss_D_fake 0.005505
[973/5000][335/535][100314] Loss_D: -0.022741 Loss_G: 0.004369 Loss_D_real: -0.018438 Loss_D_fake 0.004303
[973/5000][340/535][100315] Loss_D: -0.021801 Loss_G: 0.007870 Loss_D_real: -0.019757 Loss_D_fake 0.002044
[973/5000][345/535][100316] Loss_D: -0.022977 Loss_G: -0.003041 Loss_D_real: -0.014896 Loss_D_fake 0.008081
[973/5000][350/535][100317] Loss_D: -0.024102 Loss_G: 0.017894 Loss_D_real: -0.032533 Loss_D_fake -0.008431
[973/5000][355/535][100318] Loss_D: -0.022537 Loss_G: -0.006274 Loss_D_real: -0.006487 Loss_D_fake 0.016050
[973/5000][360/535][100319] Loss_D: -0.022322 Loss_G: 0.016244 Loss_D_real: -0.030548 Loss_D_fake -0.008226
[973/5000][365/535][100320] Loss_D: -0.022896 Loss_G: 0.014850 Loss_D_real: -0.025372 Loss_D_fake -0.002476
[973/5000][370/535][100321] Loss_D: -0.024545 Loss_G: 0.009829 Loss_D_real: -0.007824 Loss_D_fake 0.016721
[973/5000][375/535][100322] Loss_D: -0.022405 Loss_G: 0.013738 Loss_D_real: -0.030226 Loss_D_fake -0.007821
[973/5000][380/535][100323] Loss_D: -0.023676 Loss_G: 0.009119 Loss_D_real: -0.021568 Loss_D_fake 0.002108
[973/5000][385/535][100324] Loss_D: -0.022738 Loss_G: -0.010519 Loss_D_real: -0.002351 Loss_D_fake 0.020387
[973/5000][390/535][100325] Loss_D: -0.021971 Loss_G: 0.005368 Loss_D_real: -0.023042 Loss_D_fake -0.001072
[973/5000][395/535][100326] Loss_D: -0.023567 Loss_G: 0.008456 Loss_D_real: -0.019093 Loss_D_fake 0.004474
[973/5000][400/535][100327] Loss_D: -0.024050 Loss_G: -0.001280 Loss_D_real: -0.019300 Loss_D_fake 0.004749
[973/5000][405/535][100328] Loss_D: -0.022140 Loss_G: 0.000695 Loss_D_real: -0.013465 Loss_D_fake 0.008675
[973/5000][410/535][100329] Loss_D: -0.022263 Loss_G: -0.002444 Loss_D_real: -0.010800 Loss_D_fake 0.011463
[973/5000][415/535][100330] Loss_D: -0.024215 Loss_G: 0.016247 Loss_D_real: -0.021579 Loss_D_fake 0.002636
[973/5000][420/535][100331] Loss_D: -0.022638 Loss_G: 0.007576 Loss_D_real: -0.013912 Loss_D_fake 0.008726
[973/5000][425/535][100332] Loss_D: -0.023913 Loss_G: -0.003788 Loss_D_real: -0.003911 Loss_D_fake 0.020003
[973/5000][430/535][100333] Loss_D: -0.023035 Loss_G: 0.007559 Loss_D_real: -0.023898 Loss_D_fake -0.000862
[973/5000][435/535][100334] Loss_D: -0.022601 Loss_G: 0.014742 Loss_D_real: -0.025184 Loss_D_fake -0.002583
[973/5000][440/535][100335] Loss_D: -0.023730 Loss_G: -0.007501 Loss_D_real: -0.009011 Loss_D_fake 0.014720
[973/5000][445/535][100336] Loss_D: -0.022282 Loss_G: 0.012068 Loss_D_real: -0.018832 Loss_D_fake 0.003451
[973/5000][450/535][100337] Loss_D: -0.022505 Loss_G: 0.017535 Loss_D_real: -0.021465 Loss_D_fake 0.001041
[973/5000][455/535][100338] Loss_D: -0.022001 Loss_G: -0.012569 Loss_D_real: -0.019961 Loss_D_fake 0.002040
[973/5000][460/535][100339] Loss_D: -0.021632 Loss_G: 0.008710 Loss_D_real: -0.025594 Loss_D_fake -0.003962
[973/5000][465/535][100340] Loss_D: -0.022252 Loss_G: 0.014367 Loss_D_real: -0.019048 Loss_D_fake 0.003204
[973/5000][470/535][100341] Loss_D: -0.023839 Loss_G: 0.010484 Loss_D_real: -0.013307 Loss_D_fake 0.010533
[973/5000][475/535][100342] Loss_D: -0.021952 Loss_G: 0.007136 Loss_D_real: -0.019435 Loss_D_fake 0.002517
[973/5000][480/535][100343] Loss_D: -0.023043 Loss_G: 0.010481 Loss_D_real: -0.016925 Loss_D_fake 0.006118
[973/5000][485/535][100344] Loss_D: -0.022783 Loss_G: 0.011431 Loss_D_real: -0.019883 Loss_D_fake 0.002900
[973/5000][490/535][100345] Loss_D: -0.023546 Loss_G: -0.002539 Loss_D_real: -0.015460 Loss_D_fake 0.008086
[973/5000][495/535][100346] Loss_D: -0.021655 Loss_G: 0.024322 Loss_D_real: -0.035810 Loss_D_fake -0.014155
[973/5000][500/535][100347] Loss_D: -0.021310 Loss_G: -0.020149 Loss_D_real: -0.004340 Loss_D_fake 0.016970
[973/5000][505/535][100348] Loss_D: -0.022705 Loss_G: 0.006440 Loss_D_real: -0.013702 Loss_D_fake 0.009002
[973/5000][510/535][100349] Loss_D: -0.022700 Loss_G: 0.001186 Loss_D_real: -0.025099 Loss_D_fake -0.002399
[973/5000][515/535][100350] Loss_D: -0.022949 Loss_G: -0.003620 Loss_D_real: -0.015439 Loss_D_fake 0.007510
[973/5000][520/535][100351] Loss_D: -0.024473 Loss_G: 0.003971 Loss_D_real: -0.021546 Loss_D_fake 0.002927
[973/5000][525/535][100352] Loss_D: -0.022404 Loss_G: -0.004118 Loss_D_real: -0.022528 Loss_D_fake -0.000124
[973/5000][530/535][100353] Loss_D: -0.022971 Loss_G: 0.032174 Loss_D_real: -0.035688 Loss_D_fake -0.012717
[973/5000][535/535][100354] Loss_D: -0.026062 Loss_G: 0.007683 Loss_D_real: -0.017627 Loss_D_fake 0.008435
[974/5000][5/535][100355] Loss_D: -0.023593 Loss_G: -0.009113 Loss_D_real: -0.010213 Loss_D_fake 0.013380
[974/5000][10/535][100356] Loss_D: -0.021890 Loss_G: -0.010743 Loss_D_real: -0.005977 Loss_D_fake 0.015913
[974/5000][15/535][100357] Loss_D: -0.022904 Loss_G: 0.012625 Loss_D_real: -0.011748 Loss_D_fake 0.011156
[974/5000][20/535][100358] Loss_D: -0.023760 Loss_G: 0.001064 Loss_D_real: -0.021669 Loss_D_fake 0.002091
[974/5000][25/535][100359] Loss_D: -0.023789 Loss_G: 0.013170 Loss_D_real: -0.021226 Loss_D_fake 0.002562
[974/5000][30/535][100360] Loss_D: -0.024418 Loss_G: 0.018554 Loss_D_real: -0.018973 Loss_D_fake 0.005445
[974/5000][35/535][100361] Loss_D: -0.022455 Loss_G: 0.024462 Loss_D_real: -0.038214 Loss_D_fake -0.015759
[974/5000][40/535][100362] Loss_D: -0.024217 Loss_G: 0.002609 Loss_D_real: -0.019766 Loss_D_fake 0.004451
[974/5000][45/535][100363] Loss_D: -0.023626 Loss_G: 0.016915 Loss_D_real: -0.019505 Loss_D_fake 0.004121
[974/5000][50/535][100364] Loss_D: -0.023426 Loss_G: 0.019458 Loss_D_real: -0.027320 Loss_D_fake -0.003894
[974/5000][55/535][100365] Loss_D: -0.022410 Loss_G: -0.002852 Loss_D_real: -0.010359 Loss_D_fake 0.012051
[974/5000][60/535][100366] Loss_D: -0.022728 Loss_G: 0.010314 Loss_D_real: -0.029526 Loss_D_fake -0.006799
[974/5000][65/535][100367] Loss_D: -0.021576 Loss_G: 0.034862 Loss_D_real: -0.027446 Loss_D_fake -0.005870
[974/5000][70/535][100368] Loss_D: -0.021745 Loss_G: 0.002355 Loss_D_real: -0.012146 Loss_D_fake 0.009599
[974/5000][75/535][100369] Loss_D: -0.021817 Loss_G: 0.009891 Loss_D_real: -0.030189 Loss_D_fake -0.008372
[974/5000][80/535][100370] Loss_D: -0.022307 Loss_G: 0.018343 Loss_D_real: -0.021820 Loss_D_fake 0.000487
[974/5000][85/535][100371] Loss_D: -0.022699 Loss_G: -0.000903 Loss_D_real: -0.011118 Loss_D_fake 0.011581
[974/5000][90/535][100372] Loss_D: -0.020952 Loss_G: 0.027702 Loss_D_real: -0.030444 Loss_D_fake -0.009491
[974/5000][95/535][100373] Loss_D: -0.022325 Loss_G: -0.003701 Loss_D_real: -0.014153 Loss_D_fake 0.008172
[974/5000][100/535][100374] Loss_D: -0.022631 Loss_G: 0.005683 Loss_D_real: -0.012500 Loss_D_fake 0.010132
[974/5000][105/535][100375] Loss_D: -0.021648 Loss_G: 0.020897 Loss_D_real: -0.026186 Loss_D_fake -0.004538
[974/5000][110/535][100376] Loss_D: -0.022503 Loss_G: 0.007771 Loss_D_real: -0.026809 Loss_D_fake -0.004306
[974/5000][115/535][100377] Loss_D: -0.022409 Loss_G: 0.009661 Loss_D_real: -0.021580 Loss_D_fake 0.000829
[974/5000][120/535][100378] Loss_D: -0.022635 Loss_G: 0.007285 Loss_D_real: -0.021226 Loss_D_fake 0.001409
[974/5000][125/535][100379] Loss_D: -0.024237 Loss_G: 0.010172 Loss_D_real: -0.021110 Loss_D_fake 0.003127
[974/5000][130/535][100380] Loss_D: -0.023123 Loss_G: 0.007040 Loss_D_real: -0.024429 Loss_D_fake -0.001306
[974/5000][135/535][100381] Loss_D: -0.024671 Loss_G: 0.000576 Loss_D_real: -0.014205 Loss_D_fake 0.010466
[974/5000][140/535][100382] Loss_D: -0.023553 Loss_G: 0.018124 Loss_D_real: -0.025171 Loss_D_fake -0.001618
[974/5000][145/535][100383] Loss_D: -0.023639 Loss_G: -0.003786 Loss_D_real: -0.017363 Loss_D_fake 0.006276
[974/5000][150/535][100384] Loss_D: -0.022636 Loss_G: -0.020309 Loss_D_real: -0.005689 Loss_D_fake 0.016947
[974/5000][155/535][100385] Loss_D: -0.022719 Loss_G: -0.003678 Loss_D_real: -0.025433 Loss_D_fake -0.002714
[974/5000][160/535][100386] Loss_D: -0.022818 Loss_G: 0.005330 Loss_D_real: -0.014425 Loss_D_fake 0.008393
[974/5000][165/535][100387] Loss_D: -0.021746 Loss_G: 0.013162 Loss_D_real: -0.031009 Loss_D_fake -0.009263
[974/5000][170/535][100388] Loss_D: -0.023712 Loss_G: 0.018721 Loss_D_real: -0.032115 Loss_D_fake -0.008403
[974/5000][175/535][100389] Loss_D: -0.021878 Loss_G: 0.019347 Loss_D_real: -0.030061 Loss_D_fake -0.008183
[974/5000][180/535][100390] Loss_D: -0.022690 Loss_G: 0.017280 Loss_D_real: -0.019246 Loss_D_fake 0.003444
[974/5000][185/535][100391] Loss_D: -0.022696 Loss_G: -0.012783 Loss_D_real: -0.009339 Loss_D_fake 0.013358
[974/5000][190/535][100392] Loss_D: -0.022151 Loss_G: 0.019980 Loss_D_real: -0.031334 Loss_D_fake -0.009183
[974/5000][195/535][100393] Loss_D: -0.021934 Loss_G: 0.003511 Loss_D_real: -0.007177 Loss_D_fake 0.014757
[974/5000][200/535][100394] Loss_D: -0.024926 Loss_G: 0.013787 Loss_D_real: -0.021132 Loss_D_fake 0.003794
[974/5000][205/535][100395] Loss_D: -0.023840 Loss_G: 0.006349 Loss_D_real: -0.022518 Loss_D_fake 0.001322
[974/5000][210/535][100396] Loss_D: -0.021574 Loss_G: 0.024399 Loss_D_real: -0.036169 Loss_D_fake -0.014595
[974/5000][215/535][100397] Loss_D: -0.021944 Loss_G: 0.013862 Loss_D_real: -0.018852 Loss_D_fake 0.003092
[974/5000][220/535][100398] Loss_D: -0.022813 Loss_G: 0.013326 Loss_D_real: -0.019686 Loss_D_fake 0.003127
[974/5000][225/535][100399] Loss_D: -0.023984 Loss_G: 0.004767 Loss_D_real: -0.006322 Loss_D_fake 0.017662
[974/5000][230/535][100400] Loss_D: -0.024132 Loss_G: 0.007093 Loss_D_real: -0.018770 Loss_D_fake 0.005362
[974/5000][235/535][100401] Loss_D: -0.022172 Loss_G: 0.019096 Loss_D_real: -0.028355 Loss_D_fake -0.006183
[974/5000][240/535][100402] Loss_D: -0.023161 Loss_G: 0.006746 Loss_D_real: -0.017068 Loss_D_fake 0.006094
[974/5000][245/535][100403] Loss_D: -0.023932 Loss_G: 0.012302 Loss_D_real: -0.019864 Loss_D_fake 0.004067
[974/5000][250/535][100404] Loss_D: -0.023507 Loss_G: 0.024631 Loss_D_real: -0.036622 Loss_D_fake -0.013115
[974/5000][255/535][100405] Loss_D: -0.023208 Loss_G: 0.016995 Loss_D_real: -0.012662 Loss_D_fake 0.010546
[974/5000][260/535][100406] Loss_D: -0.021503 Loss_G: 0.020088 Loss_D_real: -0.032832 Loss_D_fake -0.011328
[974/5000][265/535][100407] Loss_D: -0.023867 Loss_G: -0.000955 Loss_D_real: -0.017156 Loss_D_fake 0.006711
[974/5000][270/535][100408] Loss_D: -0.022683 Loss_G: 0.013983 Loss_D_real: -0.018817 Loss_D_fake 0.003866
[974/5000][275/535][100409] Loss_D: -0.022533 Loss_G: 0.009004 Loss_D_real: -0.020484 Loss_D_fake 0.002049
[974/5000][280/535][100410] Loss_D: -0.023010 Loss_G: 0.008580 Loss_D_real: -0.018024 Loss_D_fake 0.004987
[974/5000][285/535][100411] Loss_D: -0.021517 Loss_G: 0.000942 Loss_D_real: -0.015426 Loss_D_fake 0.006091
[974/5000][290/535][100412] Loss_D: -0.023368 Loss_G: 0.006000 Loss_D_real: -0.011282 Loss_D_fake 0.012086
[974/5000][295/535][100413] Loss_D: -0.022250 Loss_G: 0.023521 Loss_D_real: -0.022865 Loss_D_fake -0.000615
[974/5000][300/535][100414] Loss_D: -0.024156 Loss_G: 0.011130 Loss_D_real: -0.013536 Loss_D_fake 0.010620
[974/5000][305/535][100415] Loss_D: -0.023014 Loss_G: 0.003303 Loss_D_real: -0.021032 Loss_D_fake 0.001982
[974/5000][310/535][100416] Loss_D: -0.022151 Loss_G: 0.010195 Loss_D_real: -0.028477 Loss_D_fake -0.006326
[974/5000][315/535][100417] Loss_D: -0.022738 Loss_G: 0.018370 Loss_D_real: -0.025767 Loss_D_fake -0.003030
[974/5000][320/535][100418] Loss_D: -0.023331 Loss_G: 0.019993 Loss_D_real: -0.024002 Loss_D_fake -0.000671
[974/5000][325/535][100419] Loss_D: -0.020817 Loss_G: -0.006119 Loss_D_real: 0.004078 Loss_D_fake 0.024895
[974/5000][330/535][100420] Loss_D: -0.022762 Loss_G: 0.001349 Loss_D_real: -0.026073 Loss_D_fake -0.003310
[974/5000][335/535][100421] Loss_D: -0.022372 Loss_G: 0.011268 Loss_D_real: -0.032520 Loss_D_fake -0.010148
[974/5000][340/535][100422] Loss_D: -0.022862 Loss_G: -0.011531 Loss_D_real: 0.009306 Loss_D_fake 0.032168
[974/5000][345/535][100423] Loss_D: -0.022176 Loss_G: 0.023621 Loss_D_real: -0.033276 Loss_D_fake -0.011101
[974/5000][350/535][100424] Loss_D: -0.022531 Loss_G: 0.016960 Loss_D_real: -0.026135 Loss_D_fake -0.003604
[974/5000][355/535][100425] Loss_D: -0.022946 Loss_G: 0.009675 Loss_D_real: -0.015943 Loss_D_fake 0.007004
[974/5000][360/535][100426] Loss_D: -0.022341 Loss_G: 0.022114 Loss_D_real: -0.022884 Loss_D_fake -0.000543
[974/5000][365/535][100427] Loss_D: -0.023280 Loss_G: 0.028818 Loss_D_real: -0.029536 Loss_D_fake -0.006255
[974/5000][370/535][100428] Loss_D: -0.021721 Loss_G: 0.014715 Loss_D_real: -0.033817 Loss_D_fake -0.012096
[974/5000][375/535][100429] Loss_D: -0.022710 Loss_G: -0.000075 Loss_D_real: -0.006684 Loss_D_fake 0.016025
[974/5000][380/535][100430] Loss_D: -0.023197 Loss_G: -0.004523 Loss_D_real: -0.024418 Loss_D_fake -0.001221
[974/5000][385/535][100431] Loss_D: -0.021798 Loss_G: -0.001039 Loss_D_real: -0.009233 Loss_D_fake 0.012565
[974/5000][390/535][100432] Loss_D: -0.022760 Loss_G: 0.011014 Loss_D_real: -0.020969 Loss_D_fake 0.001791
[974/5000][395/535][100433] Loss_D: -0.021812 Loss_G: -0.006915 Loss_D_real: -0.008195 Loss_D_fake 0.013617
[974/5000][400/535][100434] Loss_D: -0.022835 Loss_G: 0.003287 Loss_D_real: -0.024437 Loss_D_fake -0.001601
[974/5000][405/535][100435] Loss_D: -0.021437 Loss_G: 0.002784 Loss_D_real: -0.006095 Loss_D_fake 0.015342
[974/5000][410/535][100436] Loss_D: -0.022747 Loss_G: 0.001386 Loss_D_real: -0.016399 Loss_D_fake 0.006348
[974/5000][415/535][100437] Loss_D: -0.023303 Loss_G: -0.003503 Loss_D_real: -0.011178 Loss_D_fake 0.012125
[974/5000][420/535][100438] Loss_D: -0.022716 Loss_G: 0.001022 Loss_D_real: -0.013891 Loss_D_fake 0.008825
[974/5000][425/535][100439] Loss_D: -0.024182 Loss_G: -0.003039 Loss_D_real: -0.015954 Loss_D_fake 0.008228
[974/5000][430/535][100440] Loss_D: -0.023208 Loss_G: 0.000484 Loss_D_real: -0.013818 Loss_D_fake 0.009390
[974/5000][435/535][100441] Loss_D: -0.023193 Loss_G: 0.021797 Loss_D_real: -0.024735 Loss_D_fake -0.001542
[974/5000][440/535][100442] Loss_D: -0.021800 Loss_G: 0.007555 Loss_D_real: -0.021179 Loss_D_fake 0.000620
[974/5000][445/535][100443] Loss_D: -0.023273 Loss_G: 0.012345 Loss_D_real: -0.017413 Loss_D_fake 0.005860
[974/5000][450/535][100444] Loss_D: -0.024741 Loss_G: 0.006635 Loss_D_real: -0.011830 Loss_D_fake 0.012911
[974/5000][455/535][100445] Loss_D: -0.022996 Loss_G: 0.017653 Loss_D_real: -0.013754 Loss_D_fake 0.009242
[974/5000][460/535][100446] Loss_D: -0.023923 Loss_G: -0.013560 Loss_D_real: -0.011786 Loss_D_fake 0.012136
[974/5000][465/535][100447] Loss_D: -0.023208 Loss_G: 0.018085 Loss_D_real: -0.015942 Loss_D_fake 0.007267
[974/5000][470/535][100448] Loss_D: -0.023471 Loss_G: 0.021967 Loss_D_real: -0.033408 Loss_D_fake -0.009936
[974/5000][475/535][100449] Loss_D: -0.022968 Loss_G: 0.004061 Loss_D_real: -0.009928 Loss_D_fake 0.013040
[974/5000][480/535][100450] Loss_D: -0.023937 Loss_G: 0.027748 Loss_D_real: -0.020537 Loss_D_fake 0.003400
[974/5000][485/535][100451] Loss_D: -0.022716 Loss_G: 0.009403 Loss_D_real: -0.019371 Loss_D_fake 0.003345
[974/5000][490/535][100452] Loss_D: -0.022623 Loss_G: -0.008242 Loss_D_real: -0.015581 Loss_D_fake 0.007042
[974/5000][495/535][100453] Loss_D: -0.022654 Loss_G: -0.000544 Loss_D_real: -0.015777 Loss_D_fake 0.006877
[974/5000][500/535][100454] Loss_D: -0.021649 Loss_G: 0.017509 Loss_D_real: -0.036508 Loss_D_fake -0.014859
[974/5000][505/535][100455] Loss_D: -0.022165 Loss_G: -0.019176 Loss_D_real: -0.010615 Loss_D_fake 0.011550
[974/5000][510/535][100456] Loss_D: -0.022159 Loss_G: 0.013588 Loss_D_real: -0.030833 Loss_D_fake -0.008674
[974/5000][515/535][100457] Loss_D: -0.024378 Loss_G: -0.001701 Loss_D_real: -0.013353 Loss_D_fake 0.011025
[974/5000][520/535][100458] Loss_D: -0.023223 Loss_G: 0.013381 Loss_D_real: -0.013844 Loss_D_fake 0.009379
[974/5000][525/535][100459] Loss_D: -0.022378 Loss_G: -0.000693 Loss_D_real: -0.013186 Loss_D_fake 0.009192
[974/5000][530/535][100460] Loss_D: -0.022236 Loss_G: 0.000249 Loss_D_real: -0.004070 Loss_D_fake 0.018166
[974/5000][535/535][100461] Loss_D: -0.023615 Loss_G: -0.018157 Loss_D_real: -0.013393 Loss_D_fake 0.010221
[975/5000][5/535][100462] Loss_D: -0.023192 Loss_G: -0.001736 Loss_D_real: -0.006610 Loss_D_fake 0.016582
[975/5000][10/535][100463] Loss_D: -0.022829 Loss_G: 0.002545 Loss_D_real: -0.012740 Loss_D_fake 0.010090
[975/5000][15/535][100464] Loss_D: -0.021448 Loss_G: 0.002320 Loss_D_real: -0.018661 Loss_D_fake 0.002787
[975/5000][20/535][100465] Loss_D: -0.022675 Loss_G: 0.012332 Loss_D_real: -0.019675 Loss_D_fake 0.003000
[975/5000][25/535][100466] Loss_D: -0.023347 Loss_G: 0.027226 Loss_D_real: -0.025347 Loss_D_fake -0.002001
[975/5000][30/535][100467] Loss_D: -0.023239 Loss_G: 0.010481 Loss_D_real: -0.025757 Loss_D_fake -0.002519
[975/5000][35/535][100468] Loss_D: -0.023316 Loss_G: 0.010089 Loss_D_real: -0.025806 Loss_D_fake -0.002489
[975/5000][40/535][100469] Loss_D: -0.022603 Loss_G: 0.001836 Loss_D_real: -0.011571 Loss_D_fake 0.011032
[975/5000][45/535][100470] Loss_D: -0.023535 Loss_G: 0.020428 Loss_D_real: -0.031963 Loss_D_fake -0.008427
[975/5000][50/535][100471] Loss_D: -0.023255 Loss_G: 0.009039 Loss_D_real: -0.011009 Loss_D_fake 0.012247
[975/5000][55/535][100472] Loss_D: -0.022831 Loss_G: 0.018715 Loss_D_real: -0.027775 Loss_D_fake -0.004944
[975/5000][60/535][100473] Loss_D: -0.024149 Loss_G: 0.020344 Loss_D_real: -0.025788 Loss_D_fake -0.001639
[975/5000][65/535][100474] Loss_D: -0.023706 Loss_G: -0.006469 Loss_D_real: 0.001638 Loss_D_fake 0.025343
[975/5000][70/535][100475] Loss_D: -0.021888 Loss_G: -0.005805 Loss_D_real: -0.006893 Loss_D_fake 0.014995
[975/5000][75/535][100476] Loss_D: -0.022036 Loss_G: 0.007648 Loss_D_real: -0.021941 Loss_D_fake 0.000096
[975/5000][80/535][100477] Loss_D: -0.021652 Loss_G: 0.020616 Loss_D_real: -0.026523 Loss_D_fake -0.004871
[975/5000][85/535][100478] Loss_D: -0.021809 Loss_G: 0.009103 Loss_D_real: -0.022917 Loss_D_fake -0.001108
[975/5000][90/535][100479] Loss_D: -0.022383 Loss_G: -0.005727 Loss_D_real: -0.013094 Loss_D_fake 0.009289
[975/5000][95/535][100480] Loss_D: -0.022043 Loss_G: -0.000854 Loss_D_real: -0.011910 Loss_D_fake 0.010133
[975/5000][100/535][100481] Loss_D: -0.022831 Loss_G: 0.018120 Loss_D_real: -0.022957 Loss_D_fake -0.000126
[975/5000][105/535][100482] Loss_D: -0.023586 Loss_G: -0.003556 Loss_D_real: -0.011071 Loss_D_fake 0.012516
[975/5000][110/535][100483] Loss_D: -0.023454 Loss_G: 0.005366 Loss_D_real: -0.013132 Loss_D_fake 0.010322
[975/5000][115/535][100484] Loss_D: -0.022694 Loss_G: -0.004356 Loss_D_real: -0.024289 Loss_D_fake -0.001595
[975/5000][120/535][100485] Loss_D: -0.022664 Loss_G: 0.024191 Loss_D_real: -0.029560 Loss_D_fake -0.006896
[975/5000][125/535][100486] Loss_D: -0.022842 Loss_G: 0.001379 Loss_D_real: -0.006101 Loss_D_fake 0.016741
[975/5000][130/535][100487] Loss_D: -0.023434 Loss_G: -0.007361 Loss_D_real: -0.021924 Loss_D_fake 0.001510
[975/5000][135/535][100488] Loss_D: -0.022512 Loss_G: 0.000429 Loss_D_real: -0.008995 Loss_D_fake 0.013516
[975/5000][140/535][100489] Loss_D: -0.021445 Loss_G: 0.000502 Loss_D_real: -0.010759 Loss_D_fake 0.010686
[975/5000][145/535][100490] Loss_D: -0.022768 Loss_G: 0.007132 Loss_D_real: -0.022590 Loss_D_fake 0.000179
[975/5000][150/535][100491] Loss_D: -0.021263 Loss_G: 0.010794 Loss_D_real: -0.034850 Loss_D_fake -0.013587
[975/5000][155/535][100492] Loss_D: -0.021651 Loss_G: 0.017861 Loss_D_real: -0.027997 Loss_D_fake -0.006346
[975/5000][160/535][100493] Loss_D: -0.021321 Loss_G: -0.005724 Loss_D_real: -0.011784 Loss_D_fake 0.009537
[975/5000][165/535][100494] Loss_D: -0.023283 Loss_G: 0.018705 Loss_D_real: -0.023077 Loss_D_fake 0.000206
[975/5000][170/535][100495] Loss_D: -0.023088 Loss_G: 0.013668 Loss_D_real: -0.018684 Loss_D_fake 0.004404
[975/5000][175/535][100496] Loss_D: -0.022608 Loss_G: -0.003135 Loss_D_real: -0.006268 Loss_D_fake 0.016341
[975/5000][180/535][100497] Loss_D: -0.022028 Loss_G: -0.000671 Loss_D_real: -0.018186 Loss_D_fake 0.003842
[975/5000][185/535][100498] Loss_D: -0.023543 Loss_G: -0.007086 Loss_D_real: -0.018881 Loss_D_fake 0.004662
[975/5000][190/535][100499] Loss_D: -0.024319 Loss_G: 0.018015 Loss_D_real: -0.022148 Loss_D_fake 0.002172
[975/5000][195/535][100500] Loss_D: -0.024249 Loss_G: 0.010181 Loss_D_real: -0.016936 Loss_D_fake 0.007313
[975/5000][295/535][100501] Loss_D: -0.026727 Loss_G: 0.015118 Loss_D_real: -0.022663 Loss_D_fake 0.004064
[975/5000][300/535][100502] Loss_D: -0.023188 Loss_G: 0.011210 Loss_D_real: -0.018313 Loss_D_fake 0.004875
[975/5000][305/535][100503] Loss_D: -0.022793 Loss_G: 0.024745 Loss_D_real: -0.016848 Loss_D_fake 0.005944
[975/5000][310/535][100504] Loss_D: -0.021057 Loss_G: -0.001268 Loss_D_real: -0.018482 Loss_D_fake 0.002575
[975/5000][315/535][100505] Loss_D: -0.021327 Loss_G: 0.001480 Loss_D_real: -0.016364 Loss_D_fake 0.004962
[975/5000][320/535][100506] Loss_D: -0.020964 Loss_G: 0.002288 Loss_D_real: -0.016174 Loss_D_fake 0.004790
[975/5000][325/535][100507] Loss_D: -0.022102 Loss_G: 0.018116 Loss_D_real: -0.021490 Loss_D_fake 0.000612
[975/5000][330/535][100508] Loss_D: -0.023186 Loss_G: -0.010145 Loss_D_real: -0.015975 Loss_D_fake 0.007210
[975/5000][335/535][100509] Loss_D: -0.021628 Loss_G: 0.008274 Loss_D_real: -0.020362 Loss_D_fake 0.001267
[975/5000][340/535][100510] Loss_D: -0.021652 Loss_G: 0.009382 Loss_D_real: -0.019679 Loss_D_fake 0.001973
[975/5000][345/535][100511] Loss_D: -0.021917 Loss_G: 0.013484 Loss_D_real: -0.027836 Loss_D_fake -0.005918
[975/5000][350/535][100512] Loss_D: -0.022687 Loss_G: 0.008246 Loss_D_real: -0.024564 Loss_D_fake -0.001877
[975/5000][355/535][100513] Loss_D: -0.022794 Loss_G: 0.002201 Loss_D_real: -0.008161 Loss_D_fake 0.014633
[975/5000][360/535][100514] Loss_D: -0.021519 Loss_G: -0.003680 Loss_D_real: -0.015813 Loss_D_fake 0.005706
[975/5000][365/535][100515] Loss_D: -0.020246 Loss_G: 0.012898 Loss_D_real: -0.026707 Loss_D_fake -0.006461
[975/5000][370/535][100516] Loss_D: -0.022415 Loss_G: -0.001935 Loss_D_real: -0.012631 Loss_D_fake 0.009784
[975/5000][375/535][100517] Loss_D: -0.021237 Loss_G: -0.002417 Loss_D_real: -0.017195 Loss_D_fake 0.004042
[975/5000][380/535][100518] Loss_D: -0.021583 Loss_G: 0.009368 Loss_D_real: -0.021047 Loss_D_fake 0.000536
[975/5000][385/535][100519] Loss_D: -0.021198 Loss_G: 0.020301 Loss_D_real: -0.024785 Loss_D_fake -0.003587
[975/5000][390/535][100520] Loss_D: -0.022254 Loss_G: 0.006666 Loss_D_real: -0.010648 Loss_D_fake 0.011606
[975/5000][395/535][100521] Loss_D: -0.021830 Loss_G: 0.013370 Loss_D_real: -0.019651 Loss_D_fake 0.002178
[975/5000][400/535][100522] Loss_D: -0.023003 Loss_G: 0.016030 Loss_D_real: -0.021552 Loss_D_fake 0.001451
[975/5000][405/535][100523] Loss_D: -0.022106 Loss_G: 0.009884 Loss_D_real: -0.017810 Loss_D_fake 0.004297
[975/5000][410/535][100524] Loss_D: -0.022413 Loss_G: 0.018630 Loss_D_real: -0.029402 Loss_D_fake -0.006988
[975/5000][415/535][100525] Loss_D: -0.022382 Loss_G: -0.004282 Loss_D_real: -0.027246 Loss_D_fake -0.004864
[975/5000][420/535][100526] Loss_D: -0.022370 Loss_G: 0.003552 Loss_D_real: -0.020179 Loss_D_fake 0.002191
[975/5000][425/535][100527] Loss_D: -0.021586 Loss_G: 0.028590 Loss_D_real: -0.032696 Loss_D_fake -0.011110
[975/5000][430/535][100528] Loss_D: -0.022706 Loss_G: -0.000309 Loss_D_real: -0.011354 Loss_D_fake 0.011352
[975/5000][435/535][100529] Loss_D: -0.022558 Loss_G: 0.015303 Loss_D_real: -0.019396 Loss_D_fake 0.003163
[975/5000][440/535][100530] Loss_D: -0.023121 Loss_G: 0.018911 Loss_D_real: -0.036088 Loss_D_fake -0.012967
[975/5000][445/535][100531] Loss_D: -0.023514 Loss_G: -0.000235 Loss_D_real: -0.017663 Loss_D_fake 0.005851
[975/5000][450/535][100532] Loss_D: -0.022335 Loss_G: 0.023550 Loss_D_real: -0.030293 Loss_D_fake -0.007958
[975/5000][455/535][100533] Loss_D: -0.023986 Loss_G: 0.011434 Loss_D_real: -0.022809 Loss_D_fake 0.001177
[975/5000][460/535][100534] Loss_D: -0.021800 Loss_G: 0.015973 Loss_D_real: -0.027185 Loss_D_fake -0.005385
[975/5000][465/535][100535] Loss_D: -0.024602 Loss_G: 0.003960 Loss_D_real: -0.016923 Loss_D_fake 0.007679
[975/5000][470/535][100536] Loss_D: -0.024454 Loss_G: -0.006710 Loss_D_real: -0.008558 Loss_D_fake 0.015896
[975/5000][475/535][100537] Loss_D: -0.022919 Loss_G: 0.009847 Loss_D_real: -0.025184 Loss_D_fake -0.002265
[975/5000][480/535][100538] Loss_D: -0.023010 Loss_G: 0.016139 Loss_D_real: -0.024897 Loss_D_fake -0.001887
[975/5000][485/535][100539] Loss_D: -0.021705 Loss_G: 0.015718 Loss_D_real: -0.022426 Loss_D_fake -0.000721
[975/5000][490/535][100540] Loss_D: -0.023005 Loss_G: 0.018554 Loss_D_real: -0.026978 Loss_D_fake -0.003973
[975/5000][495/535][100541] Loss_D: -0.021668 Loss_G: 0.021160 Loss_D_real: -0.029603 Loss_D_fake -0.007935
[975/5000][500/535][100542] Loss_D: -0.022631 Loss_G: 0.012474 Loss_D_real: -0.021402 Loss_D_fake 0.001230
[975/5000][505/535][100543] Loss_D: -0.022833 Loss_G: -0.008528 Loss_D_real: -0.013319 Loss_D_fake 0.009514
[975/5000][510/535][100544] Loss_D: -0.023367 Loss_G: 0.008686 Loss_D_real: -0.012835 Loss_D_fake 0.010532
[975/5000][515/535][100545] Loss_D: -0.023244 Loss_G: -0.001651 Loss_D_real: -0.013384 Loss_D_fake 0.009860
[975/5000][520/535][100546] Loss_D: -0.023252 Loss_G: 0.002255 Loss_D_real: -0.022867 Loss_D_fake 0.000386
[975/5000][525/535][100547] Loss_D: -0.021447 Loss_G: 0.016101 Loss_D_real: -0.019821 Loss_D_fake 0.001626
[975/5000][530/535][100548] Loss_D: -0.022917 Loss_G: -0.008082 Loss_D_real: -0.014863 Loss_D_fake 0.008055
[975/5000][535/535][100549] Loss_D: -0.022362 Loss_G: -0.008360 Loss_D_real: -0.013772 Loss_D_fake 0.008590
[976/5000][5/535][100550] Loss_D: -0.023636 Loss_G: -0.002047 Loss_D_real: -0.014212 Loss_D_fake 0.009424
[976/5000][10/535][100551] Loss_D: -0.022040 Loss_G: 0.016509 Loss_D_real: -0.018545 Loss_D_fake 0.003496
[976/5000][15/535][100552] Loss_D: -0.023539 Loss_G: 0.004267 Loss_D_real: -0.030335 Loss_D_fake -0.006796
[976/5000][20/535][100553] Loss_D: -0.024272 Loss_G: 0.014886 Loss_D_real: -0.026257 Loss_D_fake -0.001985
[976/5000][25/535][100554] Loss_D: -0.021907 Loss_G: 0.011454 Loss_D_real: -0.025810 Loss_D_fake -0.003903
[976/5000][30/535][100555] Loss_D: -0.022769 Loss_G: 0.007127 Loss_D_real: -0.033734 Loss_D_fake -0.010965
[976/5000][35/535][100556] Loss_D: -0.023263 Loss_G: 0.012129 Loss_D_real: -0.018102 Loss_D_fake 0.005161
[976/5000][40/535][100557] Loss_D: -0.020894 Loss_G: 0.012759 Loss_D_real: -0.033103 Loss_D_fake -0.012209
[976/5000][45/535][100558] Loss_D: -0.022642 Loss_G: 0.022857 Loss_D_real: -0.031246 Loss_D_fake -0.008604
[976/5000][50/535][100559] Loss_D: -0.024333 Loss_G: 0.004232 Loss_D_real: -0.024664 Loss_D_fake -0.000331
[976/5000][55/535][100560] Loss_D: -0.023657 Loss_G: 0.021833 Loss_D_real: -0.036475 Loss_D_fake -0.012817
[976/5000][60/535][100561] Loss_D: -0.023908 Loss_G: -0.001869 Loss_D_real: -0.013148 Loss_D_fake 0.010760
[976/5000][65/535][100562] Loss_D: -0.024489 Loss_G: -0.001386 Loss_D_real: -0.011266 Loss_D_fake 0.013223
[976/5000][70/535][100563] Loss_D: -0.021951 Loss_G: 0.004700 Loss_D_real: -0.013249 Loss_D_fake 0.008702
[976/5000][75/535][100564] Loss_D: -0.023202 Loss_G: 0.010402 Loss_D_real: -0.015877 Loss_D_fake 0.007326
[976/5000][80/535][100565] Loss_D: -0.022917 Loss_G: -0.005602 Loss_D_real: -0.012280 Loss_D_fake 0.010636
[976/5000][85/535][100566] Loss_D: -0.023230 Loss_G: -0.000507 Loss_D_real: -0.013131 Loss_D_fake 0.010099
[976/5000][90/535][100567] Loss_D: -0.023552 Loss_G: 0.014489 Loss_D_real: -0.022372 Loss_D_fake 0.001180
[976/5000][95/535][100568] Loss_D: -0.021984 Loss_G: 0.010228 Loss_D_real: -0.029512 Loss_D_fake -0.007529
[976/5000][100/535][100569] Loss_D: -0.023943 Loss_G: 0.011401 Loss_D_real: -0.018493 Loss_D_fake 0.005450
[976/5000][105/535][100570] Loss_D: -0.021337 Loss_G: -0.011207 Loss_D_real: -0.014090 Loss_D_fake 0.007247
[976/5000][110/535][100571] Loss_D: -0.021990 Loss_G: -0.005911 Loss_D_real: -0.002920 Loss_D_fake 0.019070
[976/5000][115/535][100572] Loss_D: -0.021120 Loss_G: 0.016446 Loss_D_real: -0.031036 Loss_D_fake -0.009915
[976/5000][120/535][100573] Loss_D: -0.022413 Loss_G: 0.008838 Loss_D_real: -0.025018 Loss_D_fake -0.002605
[976/5000][125/535][100574] Loss_D: -0.021823 Loss_G: -0.001438 Loss_D_real: -0.019788 Loss_D_fake 0.002035
[976/5000][130/535][100575] Loss_D: -0.022054 Loss_G: 0.026594 Loss_D_real: -0.022361 Loss_D_fake -0.000307
[976/5000][135/535][100576] Loss_D: -0.022718 Loss_G: -0.003484 Loss_D_real: -0.011763 Loss_D_fake 0.010955
[976/5000][140/535][100577] Loss_D: -0.022006 Loss_G: 0.017508 Loss_D_real: -0.025092 Loss_D_fake -0.003086
[976/5000][145/535][100578] Loss_D: -0.022273 Loss_G: -0.000267 Loss_D_real: -0.010979 Loss_D_fake 0.011294
[976/5000][150/535][100579] Loss_D: -0.022423 Loss_G: 0.026956 Loss_D_real: -0.040679 Loss_D_fake -0.018257
[976/5000][155/535][100580] Loss_D: -0.022159 Loss_G: 0.020487 Loss_D_real: -0.017104 Loss_D_fake 0.005056
[976/5000][160/535][100581] Loss_D: -0.022635 Loss_G: 0.015146 Loss_D_real: -0.021552 Loss_D_fake 0.001083
[976/5000][165/535][100582] Loss_D: -0.021621 Loss_G: 0.005737 Loss_D_real: -0.032335 Loss_D_fake -0.010714
[976/5000][170/535][100583] Loss_D: -0.022495 Loss_G: -0.000635 Loss_D_real: -0.010566 Loss_D_fake 0.011929
[976/5000][175/535][100584] Loss_D: -0.022665 Loss_G: -0.017122 Loss_D_real: -0.007159 Loss_D_fake 0.015505
[976/5000][180/535][100585] Loss_D: -0.023272 Loss_G: 0.017249 Loss_D_real: -0.017453 Loss_D_fake 0.005819
[976/5000][185/535][100586] Loss_D: -0.023087 Loss_G: 0.000488 Loss_D_real: -0.010942 Loss_D_fake 0.012145
[976/5000][190/535][100587] Loss_D: -0.022461 Loss_G: -0.005540 Loss_D_real: -0.010032 Loss_D_fake 0.012429
[976/5000][195/535][100588] Loss_D: -0.022589 Loss_G: -0.001015 Loss_D_real: -0.014215 Loss_D_fake 0.008374
[976/5000][200/535][100589] Loss_D: -0.021831 Loss_G: 0.010790 Loss_D_real: -0.021253 Loss_D_fake 0.000578
[976/5000][205/535][100590] Loss_D: -0.023476 Loss_G: -0.004023 Loss_D_real: -0.010010 Loss_D_fake 0.013466
[976/5000][210/535][100591] Loss_D: -0.022568 Loss_G: 0.007799 Loss_D_real: -0.017592 Loss_D_fake 0.004976
[976/5000][215/535][100592] Loss_D: -0.023056 Loss_G: 0.003720 Loss_D_real: -0.015687 Loss_D_fake 0.007369
[976/5000][220/535][100593] Loss_D: -0.021258 Loss_G: 0.022605 Loss_D_real: -0.039757 Loss_D_fake -0.018500
[976/5000][225/535][100594] Loss_D: -0.023738 Loss_G: 0.025442 Loss_D_real: -0.034123 Loss_D_fake -0.010385
[976/5000][230/535][100595] Loss_D: -0.020278 Loss_G: -0.016573 Loss_D_real: -0.003349 Loss_D_fake 0.016929
[976/5000][235/535][100596] Loss_D: -0.022841 Loss_G: 0.018656 Loss_D_real: -0.033613 Loss_D_fake -0.010772
[976/5000][240/535][100597] Loss_D: -0.021939 Loss_G: 0.013223 Loss_D_real: -0.020746 Loss_D_fake 0.001193
[976/5000][245/535][100598] Loss_D: -0.022687 Loss_G: 0.016892 Loss_D_real: -0.020326 Loss_D_fake 0.002361
[976/5000][250/535][100599] Loss_D: -0.022617 Loss_G: 0.014673 Loss_D_real: -0.029472 Loss_D_fake -0.006856
[976/5000][255/535][100600] Loss_D: -0.023007 Loss_G: 0.002319 Loss_D_real: -0.018997 Loss_D_fake 0.004010
[976/5000][260/535][100601] Loss_D: -0.022614 Loss_G: 0.020517 Loss_D_real: -0.023197 Loss_D_fake -0.000583
[976/5000][265/535][100602] Loss_D: -0.022557 Loss_G: 0.006572 Loss_D_real: -0.026944 Loss_D_fake -0.004386
[976/5000][270/535][100603] Loss_D: -0.023015 Loss_G: 0.004365 Loss_D_real: -0.017036 Loss_D_fake 0.005980
[976/5000][275/535][100604] Loss_D: -0.022552 Loss_G: 0.014062 Loss_D_real: -0.023170 Loss_D_fake -0.000618
[976/5000][280/535][100605] Loss_D: -0.022877 Loss_G: 0.018779 Loss_D_real: -0.027279 Loss_D_fake -0.004403
[976/5000][285/535][100606] Loss_D: -0.022208 Loss_G: -0.000292 Loss_D_real: -0.025645 Loss_D_fake -0.003437
[976/5000][290/535][100607] Loss_D: -0.022714 Loss_G: -0.006500 Loss_D_real: -0.004701 Loss_D_fake 0.018013
[976/5000][295/535][100608] Loss_D: -0.022677 Loss_G: 0.007276 Loss_D_real: -0.031118 Loss_D_fake -0.008442
[976/5000][300/535][100609] Loss_D: -0.022506 Loss_G: 0.015449 Loss_D_real: -0.017810 Loss_D_fake 0.004695
[976/5000][305/535][100610] Loss_D: -0.023638 Loss_G: 0.012361 Loss_D_real: -0.016525 Loss_D_fake 0.007113
[976/5000][310/535][100611] Loss_D: -0.023727 Loss_G: -0.003472 Loss_D_real: -0.010660 Loss_D_fake 0.013068
[976/5000][315/535][100612] Loss_D: -0.023800 Loss_G: 0.015192 Loss_D_real: -0.024400 Loss_D_fake -0.000600
[976/5000][320/535][100613] Loss_D: -0.023236 Loss_G: 0.020704 Loss_D_real: -0.019314 Loss_D_fake 0.003922
[976/5000][325/535][100614] Loss_D: -0.023558 Loss_G: 0.006716 Loss_D_real: -0.023876 Loss_D_fake -0.000319
[976/5000][330/535][100615] Loss_D: -0.022791 Loss_G: 0.004590 Loss_D_real: -0.011802 Loss_D_fake 0.010989
[976/5000][335/535][100616] Loss_D: -0.021500 Loss_G: -0.023007 Loss_D_real: -0.004878 Loss_D_fake 0.016621
[976/5000][340/535][100617] Loss_D: -0.023225 Loss_G: -0.000068 Loss_D_real: -0.013566 Loss_D_fake 0.009659
[976/5000][345/535][100618] Loss_D: -0.022468 Loss_G: 0.018758 Loss_D_real: -0.023138 Loss_D_fake -0.000669
[976/5000][350/535][100619] Loss_D: -0.021532 Loss_G: 0.020997 Loss_D_real: -0.032014 Loss_D_fake -0.010482
[976/5000][355/535][100620] Loss_D: -0.021617 Loss_G: 0.017760 Loss_D_real: -0.034186 Loss_D_fake -0.012570
[976/5000][360/535][100621] Loss_D: -0.021928 Loss_G: 0.009821 Loss_D_real: -0.019371 Loss_D_fake 0.002557
[976/5000][365/535][100622] Loss_D: -0.022962 Loss_G: -0.005299 Loss_D_real: -0.016637 Loss_D_fake 0.006324
[976/5000][370/535][100623] Loss_D: -0.023763 Loss_G: 0.006524 Loss_D_real: -0.033120 Loss_D_fake -0.009357
[976/5000][375/535][100624] Loss_D: -0.023338 Loss_G: 0.007985 Loss_D_real: -0.028741 Loss_D_fake -0.005403
[976/5000][380/535][100625] Loss_D: -0.021378 Loss_G: 0.007037 Loss_D_real: -0.009608 Loss_D_fake 0.011771
[976/5000][385/535][100626] Loss_D: -0.022304 Loss_G: 0.017422 Loss_D_real: -0.031444 Loss_D_fake -0.009139
[976/5000][390/535][100627] Loss_D: -0.024420 Loss_G: 0.014053 Loss_D_real: -0.020845 Loss_D_fake 0.003576
[976/5000][395/535][100628] Loss_D: -0.022133 Loss_G: 0.013687 Loss_D_real: -0.026919 Loss_D_fake -0.004786
[976/5000][400/535][100629] Loss_D: -0.023280 Loss_G: 0.009193 Loss_D_real: -0.018974 Loss_D_fake 0.004306
[976/5000][405/535][100630] Loss_D: -0.023847 Loss_G: 0.002665 Loss_D_real: -0.023510 Loss_D_fake 0.000337
[976/5000][410/535][100631] Loss_D: -0.023729 Loss_G: 0.004866 Loss_D_real: -0.023205 Loss_D_fake 0.000524
[976/5000][415/535][100632] Loss_D: -0.021009 Loss_G: 0.024047 Loss_D_real: -0.027062 Loss_D_fake -0.006053
[976/5000][420/535][100633] Loss_D: -0.023278 Loss_G: 0.012087 Loss_D_real: -0.026331 Loss_D_fake -0.003053
[976/5000][425/535][100634] Loss_D: -0.023592 Loss_G: 0.014940 Loss_D_real: -0.014531 Loss_D_fake 0.009061
[976/5000][430/535][100635] Loss_D: -0.021854 Loss_G: -0.009017 Loss_D_real: -0.013931 Loss_D_fake 0.007923
[976/5000][435/535][100636] Loss_D: -0.022920 Loss_G: 0.011997 Loss_D_real: -0.032562 Loss_D_fake -0.009643
[976/5000][440/535][100637] Loss_D: -0.022988 Loss_G: 0.012478 Loss_D_real: -0.024185 Loss_D_fake -0.001197
[976/5000][445/535][100638] Loss_D: -0.022944 Loss_G: -0.002498 Loss_D_real: -0.009604 Loss_D_fake 0.013341
[976/5000][450/535][100639] Loss_D: -0.022825 Loss_G: 0.015685 Loss_D_real: -0.030746 Loss_D_fake -0.007921
[976/5000][455/535][100640] Loss_D: -0.022518 Loss_G: 0.007582 Loss_D_real: -0.013453 Loss_D_fake 0.009066
[976/5000][460/535][100641] Loss_D: -0.022399 Loss_G: 0.007842 Loss_D_real: -0.026081 Loss_D_fake -0.003682
[976/5000][465/535][100642] Loss_D: -0.021813 Loss_G: 0.018235 Loss_D_real: -0.021897 Loss_D_fake -0.000084
[976/5000][470/535][100643] Loss_D: -0.023751 Loss_G: -0.008834 Loss_D_real: -0.010296 Loss_D_fake 0.013455
[976/5000][475/535][100644] Loss_D: -0.021789 Loss_G: 0.004329 Loss_D_real: -0.011831 Loss_D_fake 0.009958
[976/5000][480/535][100645] Loss_D: -0.021791 Loss_G: 0.016972 Loss_D_real: -0.023626 Loss_D_fake -0.001834
[976/5000][485/535][100646] Loss_D: -0.021529 Loss_G: 0.032129 Loss_D_real: -0.028013 Loss_D_fake -0.006484
[976/5000][490/535][100647] Loss_D: -0.021773 Loss_G: -0.008135 Loss_D_real: -0.019703 Loss_D_fake 0.002069
[976/5000][495/535][100648] Loss_D: -0.023361 Loss_G: 0.018775 Loss_D_real: -0.016617 Loss_D_fake 0.006744
[976/5000][500/535][100649] Loss_D: -0.022791 Loss_G: 0.012914 Loss_D_real: -0.036348 Loss_D_fake -0.013557
[976/5000][505/535][100650] Loss_D: -0.022554 Loss_G: -0.006884 Loss_D_real: -0.004747 Loss_D_fake 0.017807
[976/5000][510/535][100651] Loss_D: -0.022056 Loss_G: 0.007314 Loss_D_real: -0.022717 Loss_D_fake -0.000661
[976/5000][515/535][100652] Loss_D: -0.022863 Loss_G: 0.003180 Loss_D_real: -0.002919 Loss_D_fake 0.019944
[976/5000][520/535][100653] Loss_D: -0.023583 Loss_G: 0.019104 Loss_D_real: -0.022417 Loss_D_fake 0.001165
[976/5000][525/535][100654] Loss_D: -0.022683 Loss_G: -0.006992 Loss_D_real: -0.012600 Loss_D_fake 0.010083
[976/5000][530/535][100655] Loss_D: -0.023265 Loss_G: 0.004138 Loss_D_real: -0.022493 Loss_D_fake 0.000772
[976/5000][535/535][100656] Loss_D: -0.019882 Loss_G: -0.020011 Loss_D_real: -0.014763 Loss_D_fake 0.005119
[977/5000][5/535][100657] Loss_D: -0.023907 Loss_G: 0.005627 Loss_D_real: -0.011095 Loss_D_fake 0.012813
[977/5000][10/535][100658] Loss_D: -0.023458 Loss_G: -0.001133 Loss_D_real: -0.011927 Loss_D_fake 0.011532
[977/5000][15/535][100659] Loss_D: -0.023023 Loss_G: 0.005676 Loss_D_real: -0.017149 Loss_D_fake 0.005874
[977/5000][20/535][100660] Loss_D: -0.023256 Loss_G: 0.021880 Loss_D_real: -0.023849 Loss_D_fake -0.000592
[977/5000][25/535][100661] Loss_D: -0.023970 Loss_G: -0.004277 Loss_D_real: -0.010685 Loss_D_fake 0.013286
[977/5000][30/535][100662] Loss_D: -0.023819 Loss_G: -0.004943 Loss_D_real: -0.003296 Loss_D_fake 0.020523
[977/5000][35/535][100663] Loss_D: -0.022364 Loss_G: 0.009973 Loss_D_real: -0.032253 Loss_D_fake -0.009889
[977/5000][40/535][100664] Loss_D: -0.022710 Loss_G: 0.008406 Loss_D_real: -0.008646 Loss_D_fake 0.014064
[977/5000][45/535][100665] Loss_D: -0.023863 Loss_G: 0.005591 Loss_D_real: -0.012643 Loss_D_fake 0.011220
[977/5000][50/535][100666] Loss_D: -0.024419 Loss_G: 0.006349 Loss_D_real: -0.025048 Loss_D_fake -0.000628
[977/5000][55/535][100667] Loss_D: -0.022574 Loss_G: 0.006018 Loss_D_real: -0.019294 Loss_D_fake 0.003281
[977/5000][60/535][100668] Loss_D: -0.022733 Loss_G: 0.026646 Loss_D_real: -0.029522 Loss_D_fake -0.006789
[977/5000][65/535][100669] Loss_D: -0.021758 Loss_G: -0.002076 Loss_D_real: -0.011795 Loss_D_fake 0.009964
[977/5000][70/535][100670] Loss_D: -0.023587 Loss_G: 0.005729 Loss_D_real: -0.018914 Loss_D_fake 0.004673
[977/5000][75/535][100671] Loss_D: -0.022956 Loss_G: 0.002073 Loss_D_real: -0.027940 Loss_D_fake -0.004983
[977/5000][80/535][100672] Loss_D: -0.022901 Loss_G: -0.001746 Loss_D_real: 0.004229 Loss_D_fake 0.027130
[977/5000][85/535][100673] Loss_D: -0.022860 Loss_G: 0.006733 Loss_D_real: -0.025048 Loss_D_fake -0.002188
[977/5000][90/535][100674] Loss_D: -0.021834 Loss_G: 0.018468 Loss_D_real: -0.029906 Loss_D_fake -0.008072
[977/5000][95/535][100675] Loss_D: -0.022330 Loss_G: -0.001767 Loss_D_real: -0.009454 Loss_D_fake 0.012876
[977/5000][100/535][100676] Loss_D: -0.023511 Loss_G: 0.002350 Loss_D_real: -0.023867 Loss_D_fake -0.000356
[977/5000][105/535][100677] Loss_D: -0.022054 Loss_G: 0.007591 Loss_D_real: -0.017404 Loss_D_fake 0.004650
[977/5000][110/535][100678] Loss_D: -0.023883 Loss_G: 0.019522 Loss_D_real: -0.027668 Loss_D_fake -0.003784
[977/5000][115/535][100679] Loss_D: -0.021731 Loss_G: 0.014521 Loss_D_real: -0.033401 Loss_D_fake -0.011670
[977/5000][120/535][100680] Loss_D: -0.022079 Loss_G: -0.019821 Loss_D_real: -0.005752 Loss_D_fake 0.016327
[977/5000][125/535][100681] Loss_D: -0.023799 Loss_G: 0.021633 Loss_D_real: -0.019175 Loss_D_fake 0.004624
[977/5000][130/535][100682] Loss_D: -0.022076 Loss_G: -0.013046 Loss_D_real: -0.002166 Loss_D_fake 0.019910
[977/5000][135/535][100683] Loss_D: -0.022257 Loss_G: -0.002581 Loss_D_real: -0.012760 Loss_D_fake 0.009497
[977/5000][140/535][100684] Loss_D: -0.022355 Loss_G: 0.006759 Loss_D_real: -0.016837 Loss_D_fake 0.005518
[977/5000][145/535][100685] Loss_D: -0.023354 Loss_G: 0.010384 Loss_D_real: -0.019481 Loss_D_fake 0.003874
[977/5000][150/535][100686] Loss_D: -0.023176 Loss_G: 0.018857 Loss_D_real: -0.038826 Loss_D_fake -0.015650
[977/5000][155/535][100687] Loss_D: -0.023274 Loss_G: 0.013544 Loss_D_real: -0.027497 Loss_D_fake -0.004222
[977/5000][160/535][100688] Loss_D: -0.021985 Loss_G: 0.021009 Loss_D_real: -0.028437 Loss_D_fake -0.006452
[977/5000][165/535][100689] Loss_D: -0.022820 Loss_G: 0.017249 Loss_D_real: -0.024635 Loss_D_fake -0.001815
[977/5000][170/535][100690] Loss_D: -0.022051 Loss_G: 0.008376 Loss_D_real: -0.031596 Loss_D_fake -0.009545
[977/5000][175/535][100691] Loss_D: -0.023320 Loss_G: -0.004676 Loss_D_real: -0.022888 Loss_D_fake 0.000432
[977/5000][180/535][100692] Loss_D: -0.021631 Loss_G: 0.000311 Loss_D_real: -0.015349 Loss_D_fake 0.006281
[977/5000][185/535][100693] Loss_D: -0.022478 Loss_G: -0.001064 Loss_D_real: -0.010676 Loss_D_fake 0.011803
[977/5000][190/535][100694] Loss_D: -0.023028 Loss_G: 0.018488 Loss_D_real: -0.016565 Loss_D_fake 0.006463
[977/5000][195/535][100695] Loss_D: -0.021805 Loss_G: 0.019058 Loss_D_real: -0.034396 Loss_D_fake -0.012590
[977/5000][200/535][100696] Loss_D: -0.021361 Loss_G: -0.008236 Loss_D_real: 0.001081 Loss_D_fake 0.022443
[977/5000][205/535][100697] Loss_D: -0.021615 Loss_G: 0.004946 Loss_D_real: -0.018763 Loss_D_fake 0.002852
[977/5000][210/535][100698] Loss_D: -0.022884 Loss_G: -0.000430 Loss_D_real: -0.014995 Loss_D_fake 0.007889
[977/5000][215/535][100699] Loss_D: -0.021754 Loss_G: -0.011621 Loss_D_real: -0.009003 Loss_D_fake 0.012751
[977/5000][220/535][100700] Loss_D: -0.024009 Loss_G: 0.006952 Loss_D_real: -0.014428 Loss_D_fake 0.009581
[977/5000][225/535][100701] Loss_D: -0.022962 Loss_G: 0.009706 Loss_D_real: -0.017986 Loss_D_fake 0.004976
[977/5000][230/535][100702] Loss_D: -0.022291 Loss_G: 0.001938 Loss_D_real: -0.001766 Loss_D_fake 0.020524
[977/5000][235/535][100703] Loss_D: -0.023644 Loss_G: -0.010860 Loss_D_real: -0.020079 Loss_D_fake 0.003565
[977/5000][240/535][100704] Loss_D: -0.022833 Loss_G: 0.007068 Loss_D_real: -0.017384 Loss_D_fake 0.005449
[977/5000][245/535][100705] Loss_D: -0.024289 Loss_G: 0.008300 Loss_D_real: -0.009106 Loss_D_fake 0.015183
[977/5000][250/535][100706] Loss_D: -0.021809 Loss_G: 0.015113 Loss_D_real: -0.015364 Loss_D_fake 0.006445
[977/5000][255/535][100707] Loss_D: -0.022257 Loss_G: 0.000261 Loss_D_real: -0.005347 Loss_D_fake 0.016911
[977/5000][260/535][100708] Loss_D: -0.023018 Loss_G: 0.000406 Loss_D_real: -0.023865 Loss_D_fake -0.000846
[977/5000][265/535][100709] Loss_D: -0.022447 Loss_G: 0.003355 Loss_D_real: -0.008475 Loss_D_fake 0.013972
[977/5000][270/535][100710] Loss_D: -0.023193 Loss_G: 0.019619 Loss_D_real: -0.021840 Loss_D_fake 0.001353
[977/5000][275/535][100711] Loss_D: -0.023559 Loss_G: -0.000578 Loss_D_real: 0.000088 Loss_D_fake 0.023647
[977/5000][280/535][100712] Loss_D: -0.022986 Loss_G: 0.010900 Loss_D_real: -0.019328 Loss_D_fake 0.003658
[977/5000][285/535][100713] Loss_D: -0.021292 Loss_G: 0.031040 Loss_D_real: -0.035076 Loss_D_fake -0.013784
[977/5000][290/535][100714] Loss_D: -0.023121 Loss_G: -0.002080 Loss_D_real: -0.011862 Loss_D_fake 0.011259
[977/5000][295/535][100715] Loss_D: -0.022995 Loss_G: -0.000947 Loss_D_real: -0.016485 Loss_D_fake 0.006511
[977/5000][300/535][100716] Loss_D: -0.021295 Loss_G: -0.009325 Loss_D_real: -0.007140 Loss_D_fake 0.014155
[977/5000][305/535][100717] Loss_D: -0.022268 Loss_G: 0.017999 Loss_D_real: -0.022237 Loss_D_fake 0.000031
[977/5000][310/535][100718] Loss_D: -0.023674 Loss_G: 0.003653 Loss_D_real: -0.019842 Loss_D_fake 0.003832
[977/5000][315/535][100719] Loss_D: -0.023461 Loss_G: 0.003561 Loss_D_real: -0.009391 Loss_D_fake 0.014070
[977/5000][320/535][100720] Loss_D: -0.023032 Loss_G: 0.011609 Loss_D_real: -0.027438 Loss_D_fake -0.004405
[977/5000][325/535][100721] Loss_D: -0.023781 Loss_G: 0.002432 Loss_D_real: -0.019166 Loss_D_fake 0.004615
[977/5000][330/535][100722] Loss_D: -0.022398 Loss_G: 0.020337 Loss_D_real: -0.023384 Loss_D_fake -0.000987
[977/5000][335/535][100723] Loss_D: -0.022810 Loss_G: 0.009714 Loss_D_real: -0.024751 Loss_D_fake -0.001941
[977/5000][340/535][100724] Loss_D: -0.022100 Loss_G: 0.014345 Loss_D_real: -0.038935 Loss_D_fake -0.016835
[977/5000][345/535][100725] Loss_D: -0.022495 Loss_G: 0.011973 Loss_D_real: -0.027945 Loss_D_fake -0.005450
[977/5000][350/535][100726] Loss_D: -0.023412 Loss_G: 0.018299 Loss_D_real: -0.032119 Loss_D_fake -0.008707
[977/5000][355/535][100727] Loss_D: -0.023018 Loss_G: 0.024385 Loss_D_real: -0.033092 Loss_D_fake -0.010074
[977/5000][360/535][100728] Loss_D: -0.022293 Loss_G: 0.011289 Loss_D_real: -0.020809 Loss_D_fake 0.001485
[977/5000][365/535][100729] Loss_D: -0.022729 Loss_G: 0.014725 Loss_D_real: -0.016918 Loss_D_fake 0.005812
[977/5000][370/535][100730] Loss_D: -0.021505 Loss_G: 0.016402 Loss_D_real: -0.027994 Loss_D_fake -0.006489
[977/5000][375/535][100731] Loss_D: -0.023153 Loss_G: 0.011532 Loss_D_real: -0.024375 Loss_D_fake -0.001223
[977/5000][380/535][100732] Loss_D: -0.022429 Loss_G: 0.011507 Loss_D_real: -0.037400 Loss_D_fake -0.014971
[977/5000][385/535][100733] Loss_D: -0.022624 Loss_G: -0.006661 Loss_D_real: -0.015841 Loss_D_fake 0.006783
[977/5000][390/535][100734] Loss_D: -0.021998 Loss_G: 0.027526 Loss_D_real: -0.028269 Loss_D_fake -0.006270
[977/5000][395/535][100735] Loss_D: -0.022343 Loss_G: 0.003842 Loss_D_real: -0.017693 Loss_D_fake 0.004650
[977/5000][400/535][100736] Loss_D: -0.023960 Loss_G: -0.003844 Loss_D_real: -0.008421 Loss_D_fake 0.015539
[977/5000][405/535][100737] Loss_D: -0.022704 Loss_G: 0.007089 Loss_D_real: -0.011370 Loss_D_fake 0.011334
[977/5000][410/535][100738] Loss_D: -0.021697 Loss_G: 0.006368 Loss_D_real: -0.030668 Loss_D_fake -0.008971
[977/5000][415/535][100739] Loss_D: -0.021240 Loss_G: -0.009989 Loss_D_real: -0.005147 Loss_D_fake 0.016092
[977/5000][420/535][100740] Loss_D: -0.022756 Loss_G: -0.003140 Loss_D_real: -0.015957 Loss_D_fake 0.006799
[977/5000][425/535][100741] Loss_D: -0.022087 Loss_G: 0.015550 Loss_D_real: -0.018493 Loss_D_fake 0.003593
[977/5000][430/535][100742] Loss_D: -0.023648 Loss_G: -0.000125 Loss_D_real: -0.016495 Loss_D_fake 0.007153
[977/5000][435/535][100743] Loss_D: -0.022996 Loss_G: -0.007715 Loss_D_real: -0.009961 Loss_D_fake 0.013036
[977/5000][440/535][100744] Loss_D: -0.023222 Loss_G: 0.015276 Loss_D_real: -0.022634 Loss_D_fake 0.000588
[977/5000][445/535][100745] Loss_D: -0.021951 Loss_G: -0.010164 Loss_D_real: -0.012437 Loss_D_fake 0.009514
[977/5000][450/535][100746] Loss_D: -0.022284 Loss_G: -0.001900 Loss_D_real: -0.010603 Loss_D_fake 0.011681
[977/5000][455/535][100747] Loss_D: -0.024003 Loss_G: 0.013400 Loss_D_real: -0.023070 Loss_D_fake 0.000933
[977/5000][460/535][100748] Loss_D: -0.021479 Loss_G: -0.014518 Loss_D_real: -0.011991 Loss_D_fake 0.009487
[977/5000][465/535][100749] Loss_D: -0.021825 Loss_G: 0.006105 Loss_D_real: -0.013784 Loss_D_fake 0.008041
[977/5000][470/535][100750] Loss_D: -0.021382 Loss_G: 0.000898 Loss_D_real: -0.018356 Loss_D_fake 0.003026
[977/5000][475/535][100751] Loss_D: -0.022912 Loss_G: 0.010151 Loss_D_real: -0.023712 Loss_D_fake -0.000800
[977/5000][480/535][100752] Loss_D: -0.021661 Loss_G: 0.002298 Loss_D_real: -0.015564 Loss_D_fake 0.006097
[977/5000][485/535][100753] Loss_D: -0.024031 Loss_G: 0.006460 Loss_D_real: -0.008190 Loss_D_fake 0.015841
[977/5000][490/535][100754] Loss_D: -0.022712 Loss_G: 0.000787 Loss_D_real: -0.017302 Loss_D_fake 0.005410
[977/5000][495/535][100755] Loss_D: -0.023386 Loss_G: 0.010382 Loss_D_real: -0.007888 Loss_D_fake 0.015499
[977/5000][500/535][100756] Loss_D: -0.023285 Loss_G: 0.000829 Loss_D_real: -0.013293 Loss_D_fake 0.009992
[977/5000][505/535][100757] Loss_D: -0.021564 Loss_G: -0.004285 Loss_D_real: -0.012123 Loss_D_fake 0.009441
[977/5000][510/535][100758] Loss_D: -0.022047 Loss_G: 0.008364 Loss_D_real: -0.015301 Loss_D_fake 0.006745
[977/5000][515/535][100759] Loss_D: -0.023268 Loss_G: 0.009763 Loss_D_real: -0.020018 Loss_D_fake 0.003250
[977/5000][520/535][100760] Loss_D: -0.022346 Loss_G: 0.009131 Loss_D_real: -0.028680 Loss_D_fake -0.006334
[977/5000][525/535][100761] Loss_D: -0.022937 Loss_G: 0.002813 Loss_D_real: -0.001896 Loss_D_fake 0.021041
[977/5000][530/535][100762] Loss_D: -0.023980 Loss_G: 0.009058 Loss_D_real: -0.017306 Loss_D_fake 0.006674
[977/5000][535/535][100763] Loss_D: -0.023136 Loss_G: -0.007493 Loss_D_real: -0.019969 Loss_D_fake 0.003167
[978/5000][5/535][100764] Loss_D: -0.022474 Loss_G: 0.020052 Loss_D_real: -0.017388 Loss_D_fake 0.005086
[978/5000][10/535][100765] Loss_D: -0.021900 Loss_G: -0.006053 Loss_D_real: -0.020027 Loss_D_fake 0.001873
[978/5000][15/535][100766] Loss_D: -0.022300 Loss_G: 0.020210 Loss_D_real: -0.029399 Loss_D_fake -0.007099
[978/5000][20/535][100767] Loss_D: -0.023505 Loss_G: 0.005025 Loss_D_real: -0.008944 Loss_D_fake 0.014561
[978/5000][25/535][100768] Loss_D: -0.023989 Loss_G: -0.008354 Loss_D_real: -0.004907 Loss_D_fake 0.019082
[978/5000][30/535][100769] Loss_D: -0.022080 Loss_G: 0.012362 Loss_D_real: -0.030025 Loss_D_fake -0.007945
[978/5000][35/535][100770] Loss_D: -0.023346 Loss_G: -0.004328 Loss_D_real: -0.020332 Loss_D_fake 0.003014
[978/5000][40/535][100771] Loss_D: -0.022158 Loss_G: 0.012962 Loss_D_real: -0.025467 Loss_D_fake -0.003310
[978/5000][45/535][100772] Loss_D: -0.024219 Loss_G: 0.004785 Loss_D_real: -0.016427 Loss_D_fake 0.007792
[978/5000][50/535][100773] Loss_D: -0.023286 Loss_G: 0.001223 Loss_D_real: -0.024525 Loss_D_fake -0.001239
[978/5000][55/535][100774] Loss_D: -0.023925 Loss_G: 0.009910 Loss_D_real: -0.027590 Loss_D_fake -0.003664
[978/5000][60/535][100775] Loss_D: -0.022178 Loss_G: -0.019269 Loss_D_real: -0.004074 Loss_D_fake 0.018104
[978/5000][65/535][100776] Loss_D: -0.022936 Loss_G: 0.021252 Loss_D_real: -0.021385 Loss_D_fake 0.001551
[978/5000][70/535][100777] Loss_D: -0.021621 Loss_G: 0.003540 Loss_D_real: -0.003931 Loss_D_fake 0.017689
[978/5000][75/535][100778] Loss_D: -0.022358 Loss_G: 0.008097 Loss_D_real: -0.013388 Loss_D_fake 0.008970
[978/5000][80/535][100779] Loss_D: -0.022353 Loss_G: 0.011065 Loss_D_real: -0.021530 Loss_D_fake 0.000823
[978/5000][85/535][100780] Loss_D: -0.021641 Loss_G: 0.021855 Loss_D_real: -0.021457 Loss_D_fake 0.000184
[978/5000][90/535][100781] Loss_D: -0.022546 Loss_G: -0.016721 Loss_D_real: -0.012626 Loss_D_fake 0.009920
[978/5000][95/535][100782] Loss_D: -0.021082 Loss_G: 0.004685 Loss_D_real: -0.023602 Loss_D_fake -0.002519
[978/5000][100/535][100783] Loss_D: -0.022658 Loss_G: 0.012672 Loss_D_real: -0.028265 Loss_D_fake -0.005606
[978/5000][105/535][100784] Loss_D: -0.023557 Loss_G: 0.022945 Loss_D_real: -0.025459 Loss_D_fake -0.001902
[978/5000][110/535][100785] Loss_D: -0.022843 Loss_G: 0.013348 Loss_D_real: -0.024707 Loss_D_fake -0.001864
[978/5000][115/535][100786] Loss_D: -0.022523 Loss_G: 0.021845 Loss_D_real: -0.035560 Loss_D_fake -0.013037
[978/5000][120/535][100787] Loss_D: -0.022723 Loss_G: 0.002103 Loss_D_real: -0.020050 Loss_D_fake 0.002673
[978/5000][125/535][100788] Loss_D: -0.021420 Loss_G: -0.001702 Loss_D_real: -0.006213 Loss_D_fake 0.015207
[978/5000][130/535][100789] Loss_D: -0.022812 Loss_G: 0.001376 Loss_D_real: -0.016407 Loss_D_fake 0.006405
[978/5000][135/535][100790] Loss_D: -0.022508 Loss_G: 0.011885 Loss_D_real: -0.027991 Loss_D_fake -0.005483
[978/5000][140/535][100791] Loss_D: -0.023399 Loss_G: -0.005404 Loss_D_real: -0.006795 Loss_D_fake 0.016604
[978/5000][145/535][100792] Loss_D: -0.022668 Loss_G: 0.007076 Loss_D_real: -0.015228 Loss_D_fake 0.007440
[978/5000][150/535][100793] Loss_D: -0.023340 Loss_G: 0.029338 Loss_D_real: -0.022628 Loss_D_fake 0.000713
[978/5000][155/535][100794] Loss_D: -0.022297 Loss_G: -0.012222 Loss_D_real: -0.007654 Loss_D_fake 0.014643
[978/5000][160/535][100795] Loss_D: -0.022460 Loss_G: 0.004953 Loss_D_real: -0.019330 Loss_D_fake 0.003130
[978/5000][165/535][100796] Loss_D: -0.022880 Loss_G: -0.002738 Loss_D_real: -0.020970 Loss_D_fake 0.001911
[978/5000][170/535][100797] Loss_D: -0.022857 Loss_G: 0.015230 Loss_D_real: -0.031028 Loss_D_fake -0.008171
[978/5000][175/535][100798] Loss_D: -0.023217 Loss_G: 0.016294 Loss_D_real: -0.017232 Loss_D_fake 0.005985
[978/5000][180/535][100799] Loss_D: -0.022874 Loss_G: 0.004762 Loss_D_real: -0.026722 Loss_D_fake -0.003848
[978/5000][185/535][100800] Loss_D: -0.023594 Loss_G: -0.001655 Loss_D_real: -0.018519 Loss_D_fake 0.005076
[978/5000][190/535][100801] Loss_D: -0.024160 Loss_G: 0.021043 Loss_D_real: -0.020880 Loss_D_fake 0.003280
[978/5000][195/535][100802] Loss_D: -0.023877 Loss_G: 0.011430 Loss_D_real: -0.020129 Loss_D_fake 0.003748
[978/5000][200/535][100803] Loss_D: -0.022788 Loss_G: -0.005506 Loss_D_real: 0.001301 Loss_D_fake 0.024089
[978/5000][205/535][100804] Loss_D: -0.022919 Loss_G: -0.004798 Loss_D_real: -0.015770 Loss_D_fake 0.007149
[978/5000][210/535][100805] Loss_D: -0.023538 Loss_G: 0.001659 Loss_D_real: -0.012343 Loss_D_fake 0.011195
[978/5000][215/535][100806] Loss_D: -0.022637 Loss_G: -0.004997 Loss_D_real: -0.006791 Loss_D_fake 0.015846
[978/5000][220/535][100807] Loss_D: -0.022730 Loss_G: 0.009339 Loss_D_real: -0.022346 Loss_D_fake 0.000384
[978/5000][225/535][100808] Loss_D: -0.023210 Loss_G: 0.008725 Loss_D_real: -0.015133 Loss_D_fake 0.008076
[978/5000][230/535][100809] Loss_D: -0.023273 Loss_G: 0.007992 Loss_D_real: -0.015875 Loss_D_fake 0.007398
[978/5000][235/535][100810] Loss_D: -0.023605 Loss_G: 0.002220 Loss_D_real: -0.020816 Loss_D_fake 0.002789
[978/5000][240/535][100811] Loss_D: -0.023435 Loss_G: 0.017415 Loss_D_real: -0.018223 Loss_D_fake 0.005212
[978/5000][245/535][100812] Loss_D: -0.023222 Loss_G: 0.003874 Loss_D_real: -0.015480 Loss_D_fake 0.007742
[978/5000][250/535][100813] Loss_D: -0.021150 Loss_G: 0.017243 Loss_D_real: -0.023298 Loss_D_fake -0.002148
[978/5000][255/535][100814] Loss_D: -0.021518 Loss_G: -0.004736 Loss_D_real: -0.021863 Loss_D_fake -0.000345
[978/5000][260/535][100815] Loss_D: -0.022947 Loss_G: 0.011904 Loss_D_real: -0.013849 Loss_D_fake 0.009098
[978/5000][265/535][100816] Loss_D: -0.022446 Loss_G: 0.005077 Loss_D_real: -0.010586 Loss_D_fake 0.011860
[978/5000][270/535][100817] Loss_D: -0.022938 Loss_G: 0.006823 Loss_D_real: -0.029057 Loss_D_fake -0.006119
[978/5000][275/535][100818] Loss_D: -0.023601 Loss_G: 0.009212 Loss_D_real: -0.027012 Loss_D_fake -0.003412
[978/5000][280/535][100819] Loss_D: -0.022227 Loss_G: 0.008988 Loss_D_real: -0.017762 Loss_D_fake 0.004465
[978/5000][285/535][100820] Loss_D: -0.023780 Loss_G: 0.001302 Loss_D_real: -0.016950 Loss_D_fake 0.006830
[978/5000][290/535][100821] Loss_D: -0.022218 Loss_G: 0.006965 Loss_D_real: -0.012272 Loss_D_fake 0.009946
[978/5000][295/535][100822] Loss_D: -0.022218 Loss_G: 0.005583 Loss_D_real: -0.019930 Loss_D_fake 0.002287
[978/5000][300/535][100823] Loss_D: -0.022497 Loss_G: 0.007198 Loss_D_real: -0.016057 Loss_D_fake 0.006440
[978/5000][305/535][100824] Loss_D: -0.022659 Loss_G: 0.012550 Loss_D_real: -0.023911 Loss_D_fake -0.001252
[978/5000][310/535][100825] Loss_D: -0.022833 Loss_G: 0.015101 Loss_D_real: -0.023011 Loss_D_fake -0.000177
[978/5000][315/535][100826] Loss_D: -0.023102 Loss_G: 0.012826 Loss_D_real: -0.022999 Loss_D_fake 0.000103
[978/5000][320/535][100827] Loss_D: -0.022665 Loss_G: -0.002395 Loss_D_real: -0.006840 Loss_D_fake 0.015825
[978/5000][325/535][100828] Loss_D: -0.021460 Loss_G: 0.027300 Loss_D_real: -0.033469 Loss_D_fake -0.012009
[978/5000][330/535][100829] Loss_D: -0.022806 Loss_G: -0.001116 Loss_D_real: -0.013301 Loss_D_fake 0.009505
[978/5000][335/535][100830] Loss_D: -0.023793 Loss_G: 0.016562 Loss_D_real: -0.030939 Loss_D_fake -0.007146
[978/5000][340/535][100831] Loss_D: -0.022701 Loss_G: 0.018706 Loss_D_real: -0.022077 Loss_D_fake 0.000623
[978/5000][345/535][100832] Loss_D: -0.022582 Loss_G: -0.002196 Loss_D_real: -0.010913 Loss_D_fake 0.011670
[978/5000][350/535][100833] Loss_D: -0.022826 Loss_G: 0.016541 Loss_D_real: -0.029094 Loss_D_fake -0.006269
[978/5000][355/535][100834] Loss_D: -0.023423 Loss_G: 0.024791 Loss_D_real: -0.027420 Loss_D_fake -0.003997
[978/5000][360/535][100835] Loss_D: -0.023254 Loss_G: 0.005371 Loss_D_real: -0.026130 Loss_D_fake -0.002876
[978/5000][365/535][100836] Loss_D: -0.023763 Loss_G: -0.000006 Loss_D_real: -0.013472 Loss_D_fake 0.010291
[978/5000][370/535][100837] Loss_D: -0.022261 Loss_G: 0.019811 Loss_D_real: -0.025466 Loss_D_fake -0.003205
[978/5000][375/535][100838] Loss_D: -0.023491 Loss_G: 0.008541 Loss_D_real: -0.025667 Loss_D_fake -0.002176
[978/5000][380/535][100839] Loss_D: -0.023141 Loss_G: 0.008875 Loss_D_real: -0.014725 Loss_D_fake 0.008416
[978/5000][385/535][100840] Loss_D: -0.022216 Loss_G: 0.015699 Loss_D_real: -0.017357 Loss_D_fake 0.004859
[978/5000][390/535][100841] Loss_D: -0.023113 Loss_G: 0.007661 Loss_D_real: -0.020819 Loss_D_fake 0.002295
[978/5000][395/535][100842] Loss_D: -0.023724 Loss_G: -0.004871 Loss_D_real: -0.006017 Loss_D_fake 0.017707
[978/5000][400/535][100843] Loss_D: -0.023281 Loss_G: 0.016052 Loss_D_real: -0.024495 Loss_D_fake -0.001214
[978/5000][405/535][100844] Loss_D: -0.024161 Loss_G: -0.012106 Loss_D_real: -0.013167 Loss_D_fake 0.010994
[978/5000][410/535][100845] Loss_D: -0.022928 Loss_G: -0.003833 Loss_D_real: -0.024395 Loss_D_fake -0.001467
[978/5000][415/535][100846] Loss_D: -0.023273 Loss_G: 0.022403 Loss_D_real: -0.020068 Loss_D_fake 0.003205
[978/5000][420/535][100847] Loss_D: -0.022206 Loss_G: -0.001996 Loss_D_real: -0.014825 Loss_D_fake 0.007381
[978/5000][425/535][100848] Loss_D: -0.022702 Loss_G: -0.005566 Loss_D_real: -0.006064 Loss_D_fake 0.016637
[978/5000][430/535][100849] Loss_D: -0.023489 Loss_G: 0.009364 Loss_D_real: -0.017929 Loss_D_fake 0.005560
[978/5000][435/535][100850] Loss_D: -0.022506 Loss_G: 0.010938 Loss_D_real: -0.022410 Loss_D_fake 0.000096
[978/5000][440/535][100851] Loss_D: -0.022886 Loss_G: 0.013196 Loss_D_real: -0.026082 Loss_D_fake -0.003196
[978/5000][445/535][100852] Loss_D: -0.023265 Loss_G: 0.012910 Loss_D_real: -0.024217 Loss_D_fake -0.000952
[978/5000][450/535][100853] Loss_D: -0.023948 Loss_G: -0.005180 Loss_D_real: -0.008931 Loss_D_fake 0.015017
[978/5000][455/535][100854] Loss_D: -0.022494 Loss_G: 0.016528 Loss_D_real: -0.023785 Loss_D_fake -0.001291
[978/5000][460/535][100855] Loss_D: -0.021891 Loss_G: 0.018039 Loss_D_real: -0.042164 Loss_D_fake -0.020273
[978/5000][465/535][100856] Loss_D: -0.022058 Loss_G: -0.004346 Loss_D_real: -0.007504 Loss_D_fake 0.014554
[978/5000][470/535][100857] Loss_D: -0.021557 Loss_G: 0.012012 Loss_D_real: -0.014801 Loss_D_fake 0.006756
[978/5000][475/535][100858] Loss_D: -0.024775 Loss_G: 0.003822 Loss_D_real: -0.022354 Loss_D_fake 0.002421
[978/5000][480/535][100859] Loss_D: -0.022004 Loss_G: 0.026992 Loss_D_real: -0.037680 Loss_D_fake -0.015676
[978/5000][485/535][100860] Loss_D: -0.021236 Loss_G: -0.015453 Loss_D_real: -0.001418 Loss_D_fake 0.019818
[978/5000][490/535][100861] Loss_D: -0.020957 Loss_G: 0.020748 Loss_D_real: -0.033179 Loss_D_fake -0.012222
[978/5000][495/535][100862] Loss_D: -0.022205 Loss_G: -0.005355 Loss_D_real: -0.018573 Loss_D_fake 0.003632
[978/5000][500/535][100863] Loss_D: -0.023731 Loss_G: -0.003192 Loss_D_real: -0.004485 Loss_D_fake 0.019246
[978/5000][505/535][100864] Loss_D: -0.023020 Loss_G: 0.005226 Loss_D_real: -0.025721 Loss_D_fake -0.002701
[978/5000][510/535][100865] Loss_D: -0.022921 Loss_G: 0.013413 Loss_D_real: -0.026087 Loss_D_fake -0.003165
[978/5000][515/535][100866] Loss_D: -0.022232 Loss_G: 0.006056 Loss_D_real: -0.016242 Loss_D_fake 0.005990
[978/5000][520/535][100867] Loss_D: -0.022149 Loss_G: -0.001336 Loss_D_real: -0.018488 Loss_D_fake 0.003661
[978/5000][525/535][100868] Loss_D: -0.023347 Loss_G: 0.006929 Loss_D_real: -0.022990 Loss_D_fake 0.000356
[978/5000][530/535][100869] Loss_D: -0.022839 Loss_G: 0.022226 Loss_D_real: -0.028417 Loss_D_fake -0.005578
[978/5000][535/535][100870] Loss_D: -0.027372 Loss_G: 0.009841 Loss_D_real: -0.012920 Loss_D_fake 0.014452
[979/5000][5/535][100871] Loss_D: -0.023504 Loss_G: 0.004268 Loss_D_real: -0.014510 Loss_D_fake 0.008994
[979/5000][10/535][100872] Loss_D: -0.020286 Loss_G: 0.027014 Loss_D_real: -0.030672 Loss_D_fake -0.010386
[979/5000][15/535][100873] Loss_D: -0.020859 Loss_G: -0.016386 Loss_D_real: -0.000283 Loss_D_fake 0.020577
[979/5000][20/535][100874] Loss_D: -0.022645 Loss_G: 0.011979 Loss_D_real: -0.024539 Loss_D_fake -0.001893
[979/5000][25/535][100875] Loss_D: -0.021200 Loss_G: -0.013364 Loss_D_real: -0.000743 Loss_D_fake 0.020457
[979/5000][30/535][100876] Loss_D: -0.021375 Loss_G: -0.000117 Loss_D_real: -0.016231 Loss_D_fake 0.005144
[979/5000][35/535][100877] Loss_D: -0.022285 Loss_G: 0.004874 Loss_D_real: -0.017787 Loss_D_fake 0.004498
[979/5000][40/535][100878] Loss_D: -0.022135 Loss_G: 0.010454 Loss_D_real: -0.021913 Loss_D_fake 0.000222
[979/5000][45/535][100879] Loss_D: -0.022413 Loss_G: 0.007995 Loss_D_real: -0.013772 Loss_D_fake 0.008641
[979/5000][50/535][100880] Loss_D: -0.022910 Loss_G: 0.001438 Loss_D_real: -0.008299 Loss_D_fake 0.014611
[979/5000][55/535][100881] Loss_D: -0.023108 Loss_G: 0.004228 Loss_D_real: -0.017222 Loss_D_fake 0.005886
[979/5000][60/535][100882] Loss_D: -0.022814 Loss_G: -0.003271 Loss_D_real: -0.010776 Loss_D_fake 0.012038
[979/5000][65/535][100883] Loss_D: -0.023808 Loss_G: 0.018438 Loss_D_real: -0.022789 Loss_D_fake 0.001019
[979/5000][70/535][100884] Loss_D: -0.022150 Loss_G: 0.003693 Loss_D_real: -0.019076 Loss_D_fake 0.003074
[979/5000][75/535][100885] Loss_D: -0.023299 Loss_G: 0.008206 Loss_D_real: -0.016122 Loss_D_fake 0.007176
[979/5000][80/535][100886] Loss_D: -0.022227 Loss_G: 0.002645 Loss_D_real: -0.017082 Loss_D_fake 0.005145
[979/5000][85/535][100887] Loss_D: -0.022187 Loss_G: -0.000478 Loss_D_real: -0.005854 Loss_D_fake 0.016333
[979/5000][90/535][100888] Loss_D: -0.021309 Loss_G: 0.004429 Loss_D_real: -0.025894 Loss_D_fake -0.004585
[979/5000][95/535][100889] Loss_D: -0.023658 Loss_G: 0.011781 Loss_D_real: -0.029617 Loss_D_fake -0.005959
[979/5000][100/535][100890] Loss_D: -0.022235 Loss_G: 0.006098 Loss_D_real: -0.021726 Loss_D_fake 0.000510
[979/5000][105/535][100891] Loss_D: -0.023650 Loss_G: 0.017134 Loss_D_real: -0.022367 Loss_D_fake 0.001283
[979/5000][110/535][100892] Loss_D: -0.024383 Loss_G: 0.014149 Loss_D_real: -0.024465 Loss_D_fake -0.000082
[979/5000][115/535][100893] Loss_D: -0.024170 Loss_G: 0.014222 Loss_D_real: -0.026049 Loss_D_fake -0.001879
[979/5000][120/535][100894] Loss_D: -0.022726 Loss_G: 0.024755 Loss_D_real: -0.024181 Loss_D_fake -0.001455
[979/5000][125/535][100895] Loss_D: -0.022894 Loss_G: 0.001055 Loss_D_real: -0.015649 Loss_D_fake 0.007245
[979/5000][130/535][100896] Loss_D: -0.022763 Loss_G: -0.001678 Loss_D_real: -0.023366 Loss_D_fake -0.000602
[979/5000][135/535][100897] Loss_D: -0.022869 Loss_G: 0.002151 Loss_D_real: -0.025935 Loss_D_fake -0.003067
[979/5000][140/535][100898] Loss_D: -0.023486 Loss_G: 0.000538 Loss_D_real: -0.013927 Loss_D_fake 0.009559
[979/5000][145/535][100899] Loss_D: -0.021650 Loss_G: 0.015153 Loss_D_real: -0.027848 Loss_D_fake -0.006199
[979/5000][150/535][100900] Loss_D: -0.024095 Loss_G: -0.010349 Loss_D_real: -0.014231 Loss_D_fake 0.009864
[979/5000][155/535][100901] Loss_D: -0.022001 Loss_G: 0.001953 Loss_D_real: -0.010378 Loss_D_fake 0.011623
[979/5000][160/535][100902] Loss_D: -0.022933 Loss_G: -0.008435 Loss_D_real: -0.008980 Loss_D_fake 0.013954
[979/5000][165/535][100903] Loss_D: -0.022664 Loss_G: 0.015919 Loss_D_real: -0.015998 Loss_D_fake 0.006666
[979/5000][170/535][100904] Loss_D: -0.022521 Loss_G: 0.007324 Loss_D_real: -0.019904 Loss_D_fake 0.002617
[979/5000][175/535][100905] Loss_D: -0.022681 Loss_G: -0.002201 Loss_D_real: -0.009652 Loss_D_fake 0.013029
[979/5000][180/535][100906] Loss_D: -0.024454 Loss_G: 0.009021 Loss_D_real: -0.013856 Loss_D_fake 0.010598
[979/5000][185/535][100907] Loss_D: -0.023439 Loss_G: 0.008598 Loss_D_real: -0.020152 Loss_D_fake 0.003287
[979/5000][190/535][100908] Loss_D: -0.022651 Loss_G: 0.008866 Loss_D_real: -0.015192 Loss_D_fake 0.007460
[979/5000][195/535][100909] Loss_D: -0.023377 Loss_G: -0.007751 Loss_D_real: -0.009222 Loss_D_fake 0.014154
[979/5000][200/535][100910] Loss_D: -0.023132 Loss_G: 0.019879 Loss_D_real: -0.024188 Loss_D_fake -0.001057
[979/5000][205/535][100911] Loss_D: -0.022440 Loss_G: 0.003445 Loss_D_real: -0.019389 Loss_D_fake 0.003052
[979/5000][210/535][100912] Loss_D: -0.022240 Loss_G: -0.014867 Loss_D_real: -0.006426 Loss_D_fake 0.015814
[979/5000][215/535][100913] Loss_D: -0.022722 Loss_G: 0.004764 Loss_D_real: -0.018186 Loss_D_fake 0.004536
[979/5000][220/535][100914] Loss_D: -0.022275 Loss_G: 0.004351 Loss_D_real: -0.017287 Loss_D_fake 0.004988
[979/5000][225/535][100915] Loss_D: -0.022111 Loss_G: -0.012080 Loss_D_real: -0.010524 Loss_D_fake 0.011587
[979/5000][230/535][100916] Loss_D: -0.021968 Loss_G: 0.012733 Loss_D_real: -0.011741 Loss_D_fake 0.010226
[979/5000][235/535][100917] Loss_D: -0.021858 Loss_G: 0.006080 Loss_D_real: -0.015907 Loss_D_fake 0.005950
[979/5000][240/535][100918] Loss_D: -0.022693 Loss_G: 0.014263 Loss_D_real: -0.029890 Loss_D_fake -0.007197
[979/5000][245/535][100919] Loss_D: -0.022453 Loss_G: 0.024722 Loss_D_real: -0.027246 Loss_D_fake -0.004793
[979/5000][250/535][100920] Loss_D: -0.022635 Loss_G: 0.001312 Loss_D_real: -0.019001 Loss_D_fake 0.003634
[979/5000][255/535][100921] Loss_D: -0.023924 Loss_G: 0.000864 Loss_D_real: -0.016363 Loss_D_fake 0.007561
[979/5000][260/535][100922] Loss_D: -0.023329 Loss_G: 0.001741 Loss_D_real: -0.020104 Loss_D_fake 0.003225
[979/5000][265/535][100923] Loss_D: -0.024198 Loss_G: 0.003561 Loss_D_real: -0.010850 Loss_D_fake 0.013349
[979/5000][270/535][100924] Loss_D: -0.023843 Loss_G: 0.013101 Loss_D_real: -0.013056 Loss_D_fake 0.010787
[979/5000][275/535][100925] Loss_D: -0.023336 Loss_G: 0.022080 Loss_D_real: -0.032766 Loss_D_fake -0.009430
[979/5000][280/535][100926] Loss_D: -0.022625 Loss_G: 0.002339 Loss_D_real: -0.019351 Loss_D_fake 0.003274
[979/5000][285/535][100927] Loss_D: -0.022648 Loss_G: 0.018452 Loss_D_real: -0.031226 Loss_D_fake -0.008578
[979/5000][290/535][100928] Loss_D: -0.023211 Loss_G: -0.003977 Loss_D_real: -0.021247 Loss_D_fake 0.001964
[979/5000][295/535][100929] Loss_D: -0.022982 Loss_G: -0.008253 Loss_D_real: -0.015673 Loss_D_fake 0.007308
[979/5000][300/535][100930] Loss_D: -0.022431 Loss_G: 0.011430 Loss_D_real: -0.016327 Loss_D_fake 0.006104
[979/5000][305/535][100931] Loss_D: -0.022148 Loss_G: 0.012677 Loss_D_real: -0.024587 Loss_D_fake -0.002440
[979/5000][310/535][100932] Loss_D: -0.024484 Loss_G: 0.010140 Loss_D_real: -0.022579 Loss_D_fake 0.001905
[979/5000][315/535][100933] Loss_D: -0.022110 Loss_G: 0.021190 Loss_D_real: -0.034139 Loss_D_fake -0.012029
[979/5000][320/535][100934] Loss_D: -0.023617 Loss_G: 0.005942 Loss_D_real: -0.008819 Loss_D_fake 0.014798
[979/5000][325/535][100935] Loss_D: -0.023834 Loss_G: -0.002773 Loss_D_real: -0.004415 Loss_D_fake 0.019419
[979/5000][330/535][100936] Loss_D: -0.021523 Loss_G: 0.020903 Loss_D_real: -0.035223 Loss_D_fake -0.013701
[979/5000][335/535][100937] Loss_D: -0.023758 Loss_G: 0.016099 Loss_D_real: -0.015850 Loss_D_fake 0.007908
[979/5000][340/535][100938] Loss_D: -0.022941 Loss_G: -0.006626 Loss_D_real: -0.009449 Loss_D_fake 0.013492
[979/5000][345/535][100939] Loss_D: -0.023710 Loss_G: 0.025135 Loss_D_real: -0.033665 Loss_D_fake -0.009955
[979/5000][350/535][100940] Loss_D: -0.023293 Loss_G: 0.013631 Loss_D_real: -0.020956 Loss_D_fake 0.002337
[979/5000][355/535][100941] Loss_D: -0.023435 Loss_G: -0.007091 Loss_D_real: -0.016098 Loss_D_fake 0.007337
[979/5000][360/535][100942] Loss_D: -0.022381 Loss_G: 0.005326 Loss_D_real: -0.013303 Loss_D_fake 0.009079
[979/5000][365/535][100943] Loss_D: -0.022122 Loss_G: 0.001349 Loss_D_real: -0.015775 Loss_D_fake 0.006347
[979/5000][370/535][100944] Loss_D: -0.023348 Loss_G: 0.005207 Loss_D_real: -0.018191 Loss_D_fake 0.005156
[979/5000][375/535][100945] Loss_D: -0.024948 Loss_G: 0.014705 Loss_D_real: -0.022103 Loss_D_fake 0.002846
[979/5000][380/535][100946] Loss_D: -0.023387 Loss_G: 0.011379 Loss_D_real: -0.018436 Loss_D_fake 0.004951
[979/5000][385/535][100947] Loss_D: -0.022621 Loss_G: 0.008973 Loss_D_real: -0.026942 Loss_D_fake -0.004320
[979/5000][390/535][100948] Loss_D: -0.021278 Loss_G: -0.003236 Loss_D_real: -0.012875 Loss_D_fake 0.008403
[979/5000][395/535][100949] Loss_D: -0.021521 Loss_G: -0.009176 Loss_D_real: -0.001468 Loss_D_fake 0.020053
[979/5000][400/535][100950] Loss_D: -0.022522 Loss_G: 0.011519 Loss_D_real: -0.021563 Loss_D_fake 0.000959
[979/5000][405/535][100951] Loss_D: -0.023333 Loss_G: 0.022255 Loss_D_real: -0.016533 Loss_D_fake 0.006799
[979/5000][410/535][100952] Loss_D: -0.021953 Loss_G: -0.009971 Loss_D_real: -0.019338 Loss_D_fake 0.002616
[979/5000][415/535][100953] Loss_D: -0.021301 Loss_G: 0.022265 Loss_D_real: -0.030408 Loss_D_fake -0.009107
[979/5000][420/535][100954] Loss_D: -0.021944 Loss_G: 0.013321 Loss_D_real: -0.026878 Loss_D_fake -0.004935
[979/5000][425/535][100955] Loss_D: -0.023288 Loss_G: 0.012183 Loss_D_real: -0.031217 Loss_D_fake -0.007929
[979/5000][430/535][100956] Loss_D: -0.023496 Loss_G: 0.011639 Loss_D_real: -0.024343 Loss_D_fake -0.000847
[979/5000][435/535][100957] Loss_D: -0.023080 Loss_G: -0.001291 Loss_D_real: -0.009029 Loss_D_fake 0.014051
[979/5000][440/535][100958] Loss_D: -0.024126 Loss_G: 0.005656 Loss_D_real: -0.012429 Loss_D_fake 0.011697
[979/5000][445/535][100959] Loss_D: -0.023743 Loss_G: 0.007990 Loss_D_real: -0.020985 Loss_D_fake 0.002759
[979/5000][450/535][100960] Loss_D: -0.023144 Loss_G: -0.003469 Loss_D_real: -0.012763 Loss_D_fake 0.010382
[979/5000][455/535][100961] Loss_D: -0.022261 Loss_G: 0.005389 Loss_D_real: -0.017126 Loss_D_fake 0.005135
[979/5000][460/535][100962] Loss_D: -0.022116 Loss_G: 0.008057 Loss_D_real: -0.025222 Loss_D_fake -0.003106
[979/5000][465/535][100963] Loss_D: -0.023951 Loss_G: 0.004611 Loss_D_real: -0.015892 Loss_D_fake 0.008059
[979/5000][470/535][100964] Loss_D: -0.023258 Loss_G: 0.011836 Loss_D_real: -0.026256 Loss_D_fake -0.002998
[979/5000][475/535][100965] Loss_D: -0.022039 Loss_G: 0.004120 Loss_D_real: -0.018725 Loss_D_fake 0.003314
[979/5000][480/535][100966] Loss_D: -0.021159 Loss_G: 0.019228 Loss_D_real: -0.022078 Loss_D_fake -0.000919
[979/5000][485/535][100967] Loss_D: -0.022820 Loss_G: 0.003328 Loss_D_real: -0.021525 Loss_D_fake 0.001295
[979/5000][490/535][100968] Loss_D: -0.021608 Loss_G: -0.006590 Loss_D_real: -0.018213 Loss_D_fake 0.003396
[979/5000][495/535][100969] Loss_D: -0.023003 Loss_G: 0.001582 Loss_D_real: -0.013860 Loss_D_fake 0.009143
[979/5000][500/535][100970] Loss_D: -0.022458 Loss_G: 0.011770 Loss_D_real: -0.012096 Loss_D_fake 0.010361
[979/5000][505/535][100971] Loss_D: -0.022486 Loss_G: 0.017523 Loss_D_real: -0.033845 Loss_D_fake -0.011359
[979/5000][510/535][100972] Loss_D: -0.023198 Loss_G: 0.018342 Loss_D_real: -0.032146 Loss_D_fake -0.008948
[979/5000][515/535][100973] Loss_D: -0.023457 Loss_G: -0.001998 Loss_D_real: -0.016945 Loss_D_fake 0.006512
[979/5000][520/535][100974] Loss_D: -0.023286 Loss_G: 0.021349 Loss_D_real: -0.029158 Loss_D_fake -0.005872
[979/5000][525/535][100975] Loss_D: -0.022826 Loss_G: -0.002992 Loss_D_real: -0.014451 Loss_D_fake 0.008375
[979/5000][530/535][100976] Loss_D: -0.022547 Loss_G: 0.016071 Loss_D_real: -0.024376 Loss_D_fake -0.001828
[979/5000][535/535][100977] Loss_D: -0.024099 Loss_G: 0.005677 Loss_D_real: -0.024060 Loss_D_fake 0.000039
[980/5000][5/535][100978] Loss_D: -0.023828 Loss_G: 0.010336 Loss_D_real: -0.019118 Loss_D_fake 0.004710
[980/5000][10/535][100979] Loss_D: -0.023423 Loss_G: 0.024114 Loss_D_real: -0.033098 Loss_D_fake -0.009675
[980/5000][15/535][100980] Loss_D: -0.023819 Loss_G: -0.001535 Loss_D_real: -0.017826 Loss_D_fake 0.005993
[980/5000][20/535][100981] Loss_D: -0.022128 Loss_G: 0.004719 Loss_D_real: -0.024990 Loss_D_fake -0.002862
[980/5000][25/535][100982] Loss_D: -0.021657 Loss_G: 0.010746 Loss_D_real: -0.026228 Loss_D_fake -0.004571
[980/5000][30/535][100983] Loss_D: -0.023298 Loss_G: 0.003792 Loss_D_real: -0.017555 Loss_D_fake 0.005742
[980/5000][35/535][100984] Loss_D: -0.020831 Loss_G: 0.017956 Loss_D_real: -0.028092 Loss_D_fake -0.007261
[980/5000][40/535][100985] Loss_D: -0.021500 Loss_G: 0.018421 Loss_D_real: -0.024470 Loss_D_fake -0.002970
[980/5000][45/535][100986] Loss_D: -0.022824 Loss_G: 0.011003 Loss_D_real: -0.022027 Loss_D_fake 0.000797
[980/5000][50/535][100987] Loss_D: -0.022455 Loss_G: -0.001065 Loss_D_real: -0.013688 Loss_D_fake 0.008768
[980/5000][55/535][100988] Loss_D: -0.023335 Loss_G: 0.006691 Loss_D_real: -0.021672 Loss_D_fake 0.001663
[980/5000][60/535][100989] Loss_D: -0.023012 Loss_G: 0.020492 Loss_D_real: -0.024700 Loss_D_fake -0.001688
[980/5000][65/535][100990] Loss_D: -0.022770 Loss_G: 0.001947 Loss_D_real: -0.021940 Loss_D_fake 0.000830
[980/5000][70/535][100991] Loss_D: -0.022355 Loss_G: -0.011484 Loss_D_real: 0.002613 Loss_D_fake 0.024968
[980/5000][75/535][100992] Loss_D: -0.021733 Loss_G: 0.016316 Loss_D_real: -0.022039 Loss_D_fake -0.000305
[980/5000][80/535][100993] Loss_D: -0.021271 Loss_G: -0.004982 Loss_D_real: -0.011848 Loss_D_fake 0.009423
[980/5000][85/535][100994] Loss_D: -0.022895 Loss_G: 0.023946 Loss_D_real: -0.025014 Loss_D_fake -0.002119
[980/5000][90/535][100995] Loss_D: -0.023024 Loss_G: -0.000552 Loss_D_real: -0.018687 Loss_D_fake 0.004337
[980/5000][95/535][100996] Loss_D: -0.023372 Loss_G: 0.024040 Loss_D_real: -0.033398 Loss_D_fake -0.010025
[980/5000][100/535][100997] Loss_D: -0.022960 Loss_G: 0.013370 Loss_D_real: -0.027135 Loss_D_fake -0.004175
[980/5000][105/535][100998] Loss_D: -0.022815 Loss_G: -0.013063 Loss_D_real: 0.002648 Loss_D_fake 0.025464
[980/5000][110/535][100999] Loss_D: -0.022107 Loss_G: -0.010555 Loss_D_real: -0.010491 Loss_D_fake 0.011616
[980/5000][115/535][101000] Loss_D: -0.023518 Loss_G: -0.000595 Loss_D_real: -0.011313 Loss_D_fake 0.012204
[980/5000][215/535][101001] Loss_D: -0.023230 Loss_G: -0.011135 Loss_D_real: -0.005897 Loss_D_fake 0.017333
[980/5000][220/535][101002] Loss_D: -0.024960 Loss_G: 0.010403 Loss_D_real: -0.014111 Loss_D_fake 0.010849
[980/5000][225/535][101003] Loss_D: -0.020880 Loss_G: 0.002432 Loss_D_real: -0.012205 Loss_D_fake 0.008675
[980/5000][230/535][101004] Loss_D: -0.020296 Loss_G: 0.015323 Loss_D_real: -0.018944 Loss_D_fake 0.001352
[980/5000][235/535][101005] Loss_D: -0.021924 Loss_G: -0.000797 Loss_D_real: -0.020009 Loss_D_fake 0.001915
[980/5000][240/535][101006] Loss_D: -0.022570 Loss_G: 0.000808 Loss_D_real: -0.012537 Loss_D_fake 0.010033
[980/5000][245/535][101007] Loss_D: -0.021759 Loss_G: -0.001354 Loss_D_real: -0.017942 Loss_D_fake 0.003816
[980/5000][250/535][101008] Loss_D: -0.021058 Loss_G: 0.022800 Loss_D_real: -0.024356 Loss_D_fake -0.003298
[980/5000][255/535][101009] Loss_D: -0.023868 Loss_G: 0.019229 Loss_D_real: -0.028284 Loss_D_fake -0.004415
[980/5000][260/535][101010] Loss_D: -0.022100 Loss_G: 0.003588 Loss_D_real: -0.028469 Loss_D_fake -0.006369
[980/5000][265/535][101011] Loss_D: -0.022794 Loss_G: -0.000808 Loss_D_real: -0.012962 Loss_D_fake 0.009832
[980/5000][270/535][101012] Loss_D: -0.023796 Loss_G: -0.001616 Loss_D_real: -0.025827 Loss_D_fake -0.002032
[980/5000][275/535][101013] Loss_D: -0.020745 Loss_G: 0.020274 Loss_D_real: -0.027160 Loss_D_fake -0.006415
[980/5000][280/535][101014] Loss_D: -0.023321 Loss_G: 0.012665 Loss_D_real: -0.015092 Loss_D_fake 0.008229
[980/5000][285/535][101015] Loss_D: -0.023960 Loss_G: 0.007383 Loss_D_real: -0.021940 Loss_D_fake 0.002020
[980/5000][290/535][101016] Loss_D: -0.021104 Loss_G: 0.029551 Loss_D_real: -0.037117 Loss_D_fake -0.016013
[980/5000][295/535][101017] Loss_D: -0.021969 Loss_G: 0.022989 Loss_D_real: -0.022073 Loss_D_fake -0.000103
[980/5000][300/535][101018] Loss_D: -0.022969 Loss_G: -0.001002 Loss_D_real: -0.011956 Loss_D_fake 0.011012
[980/5000][305/535][101019] Loss_D: -0.023905 Loss_G: 0.020907 Loss_D_real: -0.024269 Loss_D_fake -0.000364
[980/5000][310/535][101020] Loss_D: -0.021941 Loss_G: 0.008095 Loss_D_real: -0.032274 Loss_D_fake -0.010333
[980/5000][315/535][101021] Loss_D: -0.023277 Loss_G: 0.007360 Loss_D_real: -0.015445 Loss_D_fake 0.007832
[980/5000][320/535][101022] Loss_D: -0.023431 Loss_G: 0.009664 Loss_D_real: -0.023318 Loss_D_fake 0.000113
[980/5000][325/535][101023] Loss_D: -0.021787 Loss_G: 0.008105 Loss_D_real: -0.027486 Loss_D_fake -0.005699
[980/5000][330/535][101024] Loss_D: -0.021649 Loss_G: 0.005139 Loss_D_real: -0.018575 Loss_D_fake 0.003074
[980/5000][335/535][101025] Loss_D: -0.021788 Loss_G: 0.018965 Loss_D_real: -0.027191 Loss_D_fake -0.005403
[980/5000][340/535][101026] Loss_D: -0.024098 Loss_G: -0.014546 Loss_D_real: -0.011869 Loss_D_fake 0.012229
[980/5000][345/535][101027] Loss_D: -0.022283 Loss_G: 0.010447 Loss_D_real: -0.010641 Loss_D_fake 0.011642
[980/5000][350/535][101028] Loss_D: -0.023964 Loss_G: -0.005669 Loss_D_real: -0.015270 Loss_D_fake 0.008694
[980/5000][355/535][101029] Loss_D: -0.021262 Loss_G: 0.022834 Loss_D_real: -0.028689 Loss_D_fake -0.007427
[980/5000][360/535][101030] Loss_D: -0.020760 Loss_G: 0.027775 Loss_D_real: -0.039063 Loss_D_fake -0.018303
[980/5000][365/535][101031] Loss_D: -0.023127 Loss_G: 0.005350 Loss_D_real: -0.013250 Loss_D_fake 0.009877
[980/5000][370/535][101032] Loss_D: -0.022829 Loss_G: 0.019228 Loss_D_real: -0.025702 Loss_D_fake -0.002873
[980/5000][375/535][101033] Loss_D: -0.024294 Loss_G: 0.007985 Loss_D_real: -0.024516 Loss_D_fake -0.000222
[980/5000][380/535][101034] Loss_D: -0.023551 Loss_G: 0.019176 Loss_D_real: -0.033606 Loss_D_fake -0.010055
[980/5000][385/535][101035] Loss_D: -0.022518 Loss_G: 0.015386 Loss_D_real: -0.041901 Loss_D_fake -0.019384
[980/5000][390/535][101036] Loss_D: -0.022925 Loss_G: -0.001282 Loss_D_real: -0.006724 Loss_D_fake 0.016201
[980/5000][395/535][101037] Loss_D: -0.022633 Loss_G: 0.006166 Loss_D_real: -0.010951 Loss_D_fake 0.011683
[980/5000][400/535][101038] Loss_D: -0.023607 Loss_G: 0.010197 Loss_D_real: -0.014397 Loss_D_fake 0.009210
[980/5000][405/535][101039] Loss_D: -0.022572 Loss_G: 0.022020 Loss_D_real: -0.032864 Loss_D_fake -0.010292
[980/5000][410/535][101040] Loss_D: -0.023701 Loss_G: 0.000710 Loss_D_real: -0.026539 Loss_D_fake -0.002838
[980/5000][415/535][101041] Loss_D: -0.022786 Loss_G: -0.002548 Loss_D_real: -0.024595 Loss_D_fake -0.001809
[980/5000][420/535][101042] Loss_D: -0.022023 Loss_G: 0.006751 Loss_D_real: 0.003703 Loss_D_fake 0.025726
[980/5000][425/535][101043] Loss_D: -0.022646 Loss_G: -0.008486 Loss_D_real: -0.014930 Loss_D_fake 0.007715
[980/5000][430/535][101044] Loss_D: -0.021684 Loss_G: 0.014135 Loss_D_real: -0.014776 Loss_D_fake 0.006908
[980/5000][435/535][101045] Loss_D: -0.023926 Loss_G: 0.011676 Loss_D_real: -0.012621 Loss_D_fake 0.011305
[980/5000][440/535][101046] Loss_D: -0.023490 Loss_G: 0.007480 Loss_D_real: -0.014099 Loss_D_fake 0.009390
[980/5000][445/535][101047] Loss_D: -0.022370 Loss_G: 0.009744 Loss_D_real: -0.025522 Loss_D_fake -0.003153
[980/5000][450/535][101048] Loss_D: -0.022790 Loss_G: 0.005890 Loss_D_real: -0.028083 Loss_D_fake -0.005293
[980/5000][455/535][101049] Loss_D: -0.023300 Loss_G: 0.001819 Loss_D_real: -0.025043 Loss_D_fake -0.001744
[980/5000][460/535][101050] Loss_D: -0.022831 Loss_G: 0.004006 Loss_D_real: -0.024398 Loss_D_fake -0.001567
[980/5000][465/535][101051] Loss_D: -0.023613 Loss_G: 0.017219 Loss_D_real: -0.022834 Loss_D_fake 0.000779
[980/5000][470/535][101052] Loss_D: -0.021852 Loss_G: 0.021998 Loss_D_real: -0.028806 Loss_D_fake -0.006955
[980/5000][475/535][101053] Loss_D: -0.023867 Loss_G: -0.004016 Loss_D_real: -0.020684 Loss_D_fake 0.003183
[980/5000][480/535][101054] Loss_D: -0.022073 Loss_G: 0.027991 Loss_D_real: -0.034367 Loss_D_fake -0.012293
[980/5000][485/535][101055] Loss_D: -0.023640 Loss_G: 0.010773 Loss_D_real: -0.022498 Loss_D_fake 0.001142
[980/5000][490/535][101056] Loss_D: -0.021659 Loss_G: 0.014001 Loss_D_real: -0.025231 Loss_D_fake -0.003571
[980/5000][495/535][101057] Loss_D: -0.022118 Loss_G: -0.002560 Loss_D_real: -0.002202 Loss_D_fake 0.019916
[980/5000][500/535][101058] Loss_D: -0.022542 Loss_G: 0.012423 Loss_D_real: -0.020710 Loss_D_fake 0.001832
[980/5000][505/535][101059] Loss_D: -0.022119 Loss_G: -0.009330 Loss_D_real: -0.013310 Loss_D_fake 0.008809
[980/5000][510/535][101060] Loss_D: -0.021267 Loss_G: 0.001514 Loss_D_real: -0.021617 Loss_D_fake -0.000350
[980/5000][515/535][101061] Loss_D: -0.023386 Loss_G: 0.011329 Loss_D_real: -0.022280 Loss_D_fake 0.001106
[980/5000][520/535][101062] Loss_D: -0.022726 Loss_G: 0.011725 Loss_D_real: -0.036126 Loss_D_fake -0.013401
[980/5000][525/535][101063] Loss_D: -0.023735 Loss_G: 0.016341 Loss_D_real: -0.022510 Loss_D_fake 0.001226
[980/5000][530/535][101064] Loss_D: -0.023223 Loss_G: 0.007391 Loss_D_real: -0.022825 Loss_D_fake 0.000398
[980/5000][535/535][101065] Loss_D: -0.024693 Loss_G: -0.016606 Loss_D_real: -0.011182 Loss_D_fake 0.013510
[981/5000][5/535][101066] Loss_D: -0.021898 Loss_G: 0.019532 Loss_D_real: -0.030048 Loss_D_fake -0.008150
[981/5000][10/535][101067] Loss_D: -0.023508 Loss_G: 0.011092 Loss_D_real: -0.013869 Loss_D_fake 0.009639
[981/5000][15/535][101068] Loss_D: -0.021550 Loss_G: 0.004921 Loss_D_real: -0.016269 Loss_D_fake 0.005280
[981/5000][20/535][101069] Loss_D: -0.020973 Loss_G: -0.005542 Loss_D_real: -0.016891 Loss_D_fake 0.004082
[981/5000][25/535][101070] Loss_D: -0.022081 Loss_G: 0.012651 Loss_D_real: -0.021058 Loss_D_fake 0.001023
[981/5000][30/535][101071] Loss_D: -0.023568 Loss_G: 0.005634 Loss_D_real: -0.022019 Loss_D_fake 0.001549
[981/5000][35/535][101072] Loss_D: -0.023648 Loss_G: 0.008566 Loss_D_real: -0.015064 Loss_D_fake 0.008584
[981/5000][40/535][101073] Loss_D: -0.024319 Loss_G: 0.003218 Loss_D_real: -0.023219 Loss_D_fake 0.001100
[981/5000][45/535][101074] Loss_D: -0.021709 Loss_G: 0.018514 Loss_D_real: -0.040630 Loss_D_fake -0.018921
[981/5000][50/535][101075] Loss_D: -0.022603 Loss_G: 0.008691 Loss_D_real: -0.018270 Loss_D_fake 0.004333
[981/5000][55/535][101076] Loss_D: -0.023913 Loss_G: 0.005395 Loss_D_real: -0.019530 Loss_D_fake 0.004383
[981/5000][60/535][101077] Loss_D: -0.023764 Loss_G: 0.002896 Loss_D_real: -0.019069 Loss_D_fake 0.004695
[981/5000][65/535][101078] Loss_D: -0.023494 Loss_G: -0.001496 Loss_D_real: -0.014937 Loss_D_fake 0.008556
[981/5000][70/535][101079] Loss_D: -0.022989 Loss_G: 0.004629 Loss_D_real: -0.018101 Loss_D_fake 0.004888
[981/5000][75/535][101080] Loss_D: -0.022404 Loss_G: 0.010124 Loss_D_real: -0.021770 Loss_D_fake 0.000634
[981/5000][80/535][101081] Loss_D: -0.024259 Loss_G: -0.006985 Loss_D_real: -0.010260 Loss_D_fake 0.013999
[981/5000][85/535][101082] Loss_D: -0.022428 Loss_G: -0.009696 Loss_D_real: -0.004837 Loss_D_fake 0.017592
[981/5000][90/535][101083] Loss_D: -0.023115 Loss_G: 0.002946 Loss_D_real: -0.009304 Loss_D_fake 0.013812
[981/5000][95/535][101084] Loss_D: -0.023590 Loss_G: 0.010417 Loss_D_real: -0.017551 Loss_D_fake 0.006039
[981/5000][100/535][101085] Loss_D: -0.022845 Loss_G: 0.029399 Loss_D_real: -0.032108 Loss_D_fake -0.009263
[981/5000][105/535][101086] Loss_D: -0.024334 Loss_G: 0.008654 Loss_D_real: -0.018297 Loss_D_fake 0.006037
[981/5000][110/535][101087] Loss_D: -0.022435 Loss_G: 0.021548 Loss_D_real: -0.032664 Loss_D_fake -0.010230
[981/5000][115/535][101088] Loss_D: -0.023160 Loss_G: 0.001146 Loss_D_real: -0.008080 Loss_D_fake 0.015081
[981/5000][120/535][101089] Loss_D: -0.022747 Loss_G: 0.019797 Loss_D_real: -0.029974 Loss_D_fake -0.007227
[981/5000][125/535][101090] Loss_D: -0.023510 Loss_G: -0.001489 Loss_D_real: -0.014179 Loss_D_fake 0.009331
[981/5000][130/535][101091] Loss_D: -0.022403 Loss_G: 0.005672 Loss_D_real: -0.026099 Loss_D_fake -0.003696
[981/5000][135/535][101092] Loss_D: -0.022568 Loss_G: 0.010354 Loss_D_real: -0.019166 Loss_D_fake 0.003402
[981/5000][140/535][101093] Loss_D: -0.023889 Loss_G: 0.013915 Loss_D_real: -0.021897 Loss_D_fake 0.001992
[981/5000][145/535][101094] Loss_D: -0.021700 Loss_G: -0.016541 Loss_D_real: -0.001849 Loss_D_fake 0.019851
[981/5000][150/535][101095] Loss_D: -0.020717 Loss_G: 0.016728 Loss_D_real: -0.029667 Loss_D_fake -0.008950
[981/5000][155/535][101096] Loss_D: -0.022836 Loss_G: 0.017065 Loss_D_real: -0.016608 Loss_D_fake 0.006228
[981/5000][160/535][101097] Loss_D: -0.022246 Loss_G: 0.015728 Loss_D_real: -0.019697 Loss_D_fake 0.002549
[981/5000][165/535][101098] Loss_D: -0.021683 Loss_G: 0.016630 Loss_D_real: -0.022219 Loss_D_fake -0.000536
[981/5000][170/535][101099] Loss_D: -0.021726 Loss_G: -0.008304 Loss_D_real: -0.015750 Loss_D_fake 0.005976
[981/5000][175/535][101100] Loss_D: -0.021074 Loss_G: 0.009836 Loss_D_real: -0.035220 Loss_D_fake -0.014146
[981/5000][180/535][101101] Loss_D: -0.022930 Loss_G: -0.012976 Loss_D_real: -0.002975 Loss_D_fake 0.019955
[981/5000][185/535][101102] Loss_D: -0.019308 Loss_G: 0.025571 Loss_D_real: -0.032722 Loss_D_fake -0.013414
[981/5000][190/535][101103] Loss_D: -0.023518 Loss_G: 0.004905 Loss_D_real: -0.012540 Loss_D_fake 0.010977
[981/5000][195/535][101104] Loss_D: -0.022883 Loss_G: 0.008510 Loss_D_real: -0.018259 Loss_D_fake 0.004624
[981/5000][200/535][101105] Loss_D: -0.022538 Loss_G: -0.000179 Loss_D_real: -0.023205 Loss_D_fake -0.000667
[981/5000][205/535][101106] Loss_D: -0.023626 Loss_G: 0.019762 Loss_D_real: -0.021344 Loss_D_fake 0.002282
[981/5000][210/535][101107] Loss_D: -0.022510 Loss_G: 0.026909 Loss_D_real: -0.034120 Loss_D_fake -0.011611
[981/5000][215/535][101108] Loss_D: -0.022213 Loss_G: 0.004764 Loss_D_real: -0.015694 Loss_D_fake 0.006520
[981/5000][220/535][101109] Loss_D: -0.023258 Loss_G: -0.010109 Loss_D_real: -0.020313 Loss_D_fake 0.002945
[981/5000][225/535][101110] Loss_D: -0.022873 Loss_G: 0.003141 Loss_D_real: -0.016388 Loss_D_fake 0.006485
[981/5000][230/535][101111] Loss_D: -0.022580 Loss_G: 0.013861 Loss_D_real: -0.018697 Loss_D_fake 0.003883
[981/5000][235/535][101112] Loss_D: -0.022506 Loss_G: 0.013493 Loss_D_real: -0.023298 Loss_D_fake -0.000792
[981/5000][240/535][101113] Loss_D: -0.020576 Loss_G: 0.023163 Loss_D_real: -0.030625 Loss_D_fake -0.010049
[981/5000][245/535][101114] Loss_D: -0.021268 Loss_G: 0.011467 Loss_D_real: -0.027703 Loss_D_fake -0.006436
[981/5000][250/535][101115] Loss_D: -0.022377 Loss_G: 0.017753 Loss_D_real: -0.031171 Loss_D_fake -0.008794
[981/5000][255/535][101116] Loss_D: -0.023377 Loss_G: 0.012692 Loss_D_real: -0.023664 Loss_D_fake -0.000288
[981/5000][260/535][101117] Loss_D: -0.023573 Loss_G: 0.019160 Loss_D_real: -0.025304 Loss_D_fake -0.001731
[981/5000][265/535][101118] Loss_D: -0.023567 Loss_G: 0.003960 Loss_D_real: -0.024518 Loss_D_fake -0.000950
[981/5000][270/535][101119] Loss_D: -0.023464 Loss_G: 0.007214 Loss_D_real: -0.022524 Loss_D_fake 0.000940
[981/5000][275/535][101120] Loss_D: -0.023858 Loss_G: 0.004714 Loss_D_real: -0.023619 Loss_D_fake 0.000239
[981/5000][280/535][101121] Loss_D: -0.023814 Loss_G: 0.007018 Loss_D_real: -0.017042 Loss_D_fake 0.006772
[981/5000][285/535][101122] Loss_D: -0.022983 Loss_G: -0.002854 Loss_D_real: -0.006426 Loss_D_fake 0.016557
[981/5000][290/535][101123] Loss_D: -0.023000 Loss_G: 0.012441 Loss_D_real: -0.014679 Loss_D_fake 0.008322
[981/5000][295/535][101124] Loss_D: -0.023876 Loss_G: 0.011153 Loss_D_real: -0.024862 Loss_D_fake -0.000986
[981/5000][300/535][101125] Loss_D: -0.022491 Loss_G: -0.007175 Loss_D_real: 0.000496 Loss_D_fake 0.022987
[981/5000][305/535][101126] Loss_D: -0.021921 Loss_G: 0.016455 Loss_D_real: -0.033551 Loss_D_fake -0.011630
[981/5000][310/535][101127] Loss_D: -0.022385 Loss_G: 0.018185 Loss_D_real: -0.032334 Loss_D_fake -0.009950
[981/5000][315/535][101128] Loss_D: -0.022455 Loss_G: 0.008850 Loss_D_real: -0.014636 Loss_D_fake 0.007820
[981/5000][320/535][101129] Loss_D: -0.022710 Loss_G: -0.002606 Loss_D_real: -0.003292 Loss_D_fake 0.019418
[981/5000][325/535][101130] Loss_D: -0.020888 Loss_G: 0.022046 Loss_D_real: -0.037883 Loss_D_fake -0.016994
[981/5000][330/535][101131] Loss_D: -0.022453 Loss_G: 0.014574 Loss_D_real: -0.021448 Loss_D_fake 0.001005
[981/5000][335/535][101132] Loss_D: -0.024025 Loss_G: 0.026534 Loss_D_real: -0.034558 Loss_D_fake -0.010534
[981/5000][340/535][101133] Loss_D: -0.023910 Loss_G: 0.005723 Loss_D_real: -0.021199 Loss_D_fake 0.002712
[981/5000][345/535][101134] Loss_D: -0.022555 Loss_G: -0.007814 Loss_D_real: -0.007493 Loss_D_fake 0.015063
[981/5000][350/535][101135] Loss_D: -0.022618 Loss_G: 0.026522 Loss_D_real: -0.022743 Loss_D_fake -0.000125
[981/5000][355/535][101136] Loss_D: -0.020944 Loss_G: 0.011332 Loss_D_real: -0.030457 Loss_D_fake -0.009513
[981/5000][360/535][101137] Loss_D: -0.021772 Loss_G: 0.004572 Loss_D_real: -0.020523 Loss_D_fake 0.001249
[981/5000][365/535][101138] Loss_D: -0.022984 Loss_G: 0.007644 Loss_D_real: -0.014725 Loss_D_fake 0.008259
[981/5000][370/535][101139] Loss_D: -0.022142 Loss_G: 0.007380 Loss_D_real: -0.019307 Loss_D_fake 0.002835
[981/5000][375/535][101140] Loss_D: -0.021355 Loss_G: 0.003390 Loss_D_real: -0.020507 Loss_D_fake 0.000848
[981/5000][380/535][101141] Loss_D: -0.021853 Loss_G: 0.001809 Loss_D_real: -0.018129 Loss_D_fake 0.003724
[981/5000][385/535][101142] Loss_D: -0.021747 Loss_G: -0.004646 Loss_D_real: -0.015618 Loss_D_fake 0.006129
[981/5000][390/535][101143] Loss_D: -0.021962 Loss_G: 0.023100 Loss_D_real: -0.033283 Loss_D_fake -0.011321
[981/5000][395/535][101144] Loss_D: -0.022241 Loss_G: 0.013550 Loss_D_real: -0.030123 Loss_D_fake -0.007882
[981/5000][400/535][101145] Loss_D: -0.023410 Loss_G: 0.009859 Loss_D_real: -0.021789 Loss_D_fake 0.001621
[981/5000][405/535][101146] Loss_D: -0.023663 Loss_G: 0.012457 Loss_D_real: -0.017945 Loss_D_fake 0.005718
[981/5000][410/535][101147] Loss_D: -0.023455 Loss_G: -0.006018 Loss_D_real: -0.014615 Loss_D_fake 0.008840
[981/5000][415/535][101148] Loss_D: -0.022431 Loss_G: 0.016096 Loss_D_real: -0.016335 Loss_D_fake 0.006096
[981/5000][420/535][101149] Loss_D: -0.022858 Loss_G: 0.012087 Loss_D_real: -0.017021 Loss_D_fake 0.005836
[981/5000][425/535][101150] Loss_D: -0.022616 Loss_G: -0.005687 Loss_D_real: -0.021539 Loss_D_fake 0.001076
[981/5000][430/535][101151] Loss_D: -0.021454 Loss_G: 0.002066 Loss_D_real: -0.015285 Loss_D_fake 0.006168
[981/5000][435/535][101152] Loss_D: -0.023067 Loss_G: -0.002515 Loss_D_real: -0.009917 Loss_D_fake 0.013150
[981/5000][440/535][101153] Loss_D: -0.021283 Loss_G: 0.021861 Loss_D_real: -0.034456 Loss_D_fake -0.013173
[981/5000][445/535][101154] Loss_D: -0.022568 Loss_G: 0.003271 Loss_D_real: -0.013924 Loss_D_fake 0.008644
[981/5000][450/535][101155] Loss_D: -0.022851 Loss_G: 0.010798 Loss_D_real: -0.015791 Loss_D_fake 0.007060
[981/5000][455/535][101156] Loss_D: -0.021589 Loss_G: 0.007415 Loss_D_real: -0.011683 Loss_D_fake 0.009906
[981/5000][460/535][101157] Loss_D: -0.021659 Loss_G: 0.010985 Loss_D_real: -0.021689 Loss_D_fake -0.000029
[981/5000][465/535][101158] Loss_D: -0.022517 Loss_G: 0.009478 Loss_D_real: -0.016983 Loss_D_fake 0.005534
[981/5000][470/535][101159] Loss_D: -0.022602 Loss_G: 0.001920 Loss_D_real: -0.017573 Loss_D_fake 0.005029
[981/5000][475/535][101160] Loss_D: -0.022292 Loss_G: 0.004475 Loss_D_real: -0.011310 Loss_D_fake 0.010982
[981/5000][480/535][101161] Loss_D: -0.022935 Loss_G: 0.008550 Loss_D_real: -0.021535 Loss_D_fake 0.001399
[981/5000][485/535][101162] Loss_D: -0.023557 Loss_G: 0.013156 Loss_D_real: -0.017361 Loss_D_fake 0.006196
[981/5000][490/535][101163] Loss_D: -0.023689 Loss_G: 0.008817 Loss_D_real: -0.010008 Loss_D_fake 0.013682
[981/5000][495/535][101164] Loss_D: -0.022881 Loss_G: 0.007463 Loss_D_real: -0.010531 Loss_D_fake 0.012349
[981/5000][500/535][101165] Loss_D: -0.024198 Loss_G: 0.014969 Loss_D_real: -0.022322 Loss_D_fake 0.001876
[981/5000][505/535][101166] Loss_D: -0.023222 Loss_G: 0.007607 Loss_D_real: -0.018788 Loss_D_fake 0.004435
[981/5000][510/535][101167] Loss_D: -0.022733 Loss_G: 0.005447 Loss_D_real: -0.024741 Loss_D_fake -0.002008
[981/5000][515/535][101168] Loss_D: -0.021022 Loss_G: 0.020936 Loss_D_real: -0.025603 Loss_D_fake -0.004581
[981/5000][520/535][101169] Loss_D: -0.022785 Loss_G: -0.007191 Loss_D_real: -0.014007 Loss_D_fake 0.008777
[981/5000][525/535][101170] Loss_D: -0.022895 Loss_G: 0.003496 Loss_D_real: -0.022182 Loss_D_fake 0.000713
[981/5000][530/535][101171] Loss_D: -0.023297 Loss_G: 0.011836 Loss_D_real: -0.028270 Loss_D_fake -0.004973
[981/5000][535/535][101172] Loss_D: -0.023454 Loss_G: -0.002007 Loss_D_real: -0.019450 Loss_D_fake 0.004004
[982/5000][5/535][101173] Loss_D: -0.022207 Loss_G: -0.007618 Loss_D_real: -0.008573 Loss_D_fake 0.013634
[982/5000][10/535][101174] Loss_D: -0.022798 Loss_G: 0.002122 Loss_D_real: -0.018244 Loss_D_fake 0.004554
[982/5000][15/535][101175] Loss_D: -0.022332 Loss_G: 0.018713 Loss_D_real: -0.008241 Loss_D_fake 0.014091
[982/5000][20/535][101176] Loss_D: -0.022543 Loss_G: 0.000562 Loss_D_real: -0.008371 Loss_D_fake 0.014172
[982/5000][25/535][101177] Loss_D: -0.022108 Loss_G: -0.007083 Loss_D_real: -0.012159 Loss_D_fake 0.009949
[982/5000][30/535][101178] Loss_D: -0.022655 Loss_G: -0.001055 Loss_D_real: -0.012127 Loss_D_fake 0.010528
[982/5000][35/535][101179] Loss_D: -0.021512 Loss_G: 0.000961 Loss_D_real: -0.020698 Loss_D_fake 0.000814
[982/5000][40/535][101180] Loss_D: -0.021968 Loss_G: 0.022580 Loss_D_real: -0.026940 Loss_D_fake -0.004972
[982/5000][45/535][101181] Loss_D: -0.023591 Loss_G: -0.015433 Loss_D_real: -0.014737 Loss_D_fake 0.008854
[982/5000][50/535][101182] Loss_D: -0.021788 Loss_G: 0.002240 Loss_D_real: -0.019570 Loss_D_fake 0.002218
[982/5000][55/535][101183] Loss_D: -0.023138 Loss_G: 0.011011 Loss_D_real: -0.023267 Loss_D_fake -0.000129
[982/5000][60/535][101184] Loss_D: -0.021993 Loss_G: -0.000608 Loss_D_real: -0.005288 Loss_D_fake 0.016705
[982/5000][65/535][101185] Loss_D: -0.022723 Loss_G: -0.004686 Loss_D_real: -0.012438 Loss_D_fake 0.010285
[982/5000][70/535][101186] Loss_D: -0.023400 Loss_G: 0.024270 Loss_D_real: -0.028865 Loss_D_fake -0.005466
[982/5000][75/535][101187] Loss_D: -0.023447 Loss_G: 0.008431 Loss_D_real: -0.019601 Loss_D_fake 0.003846
[982/5000][80/535][101188] Loss_D: -0.023113 Loss_G: 0.015093 Loss_D_real: -0.032681 Loss_D_fake -0.009568
[982/5000][85/535][101189] Loss_D: -0.023127 Loss_G: 0.008466 Loss_D_real: -0.026453 Loss_D_fake -0.003326
[982/5000][90/535][101190] Loss_D: -0.024543 Loss_G: 0.014135 Loss_D_real: -0.013635 Loss_D_fake 0.010909
[982/5000][95/535][101191] Loss_D: -0.022092 Loss_G: 0.032461 Loss_D_real: -0.029652 Loss_D_fake -0.007560
[982/5000][100/535][101192] Loss_D: -0.023994 Loss_G: 0.007832 Loss_D_real: -0.025269 Loss_D_fake -0.001275
[982/5000][105/535][101193] Loss_D: -0.024255 Loss_G: 0.005542 Loss_D_real: -0.024054 Loss_D_fake 0.000201
[982/5000][110/535][101194] Loss_D: -0.023848 Loss_G: -0.006437 Loss_D_real: -0.009957 Loss_D_fake 0.013892
[982/5000][115/535][101195] Loss_D: -0.022430 Loss_G: 0.003329 Loss_D_real: -0.006033 Loss_D_fake 0.016397
[982/5000][120/535][101196] Loss_D: -0.023112 Loss_G: 0.001022 Loss_D_real: -0.023681 Loss_D_fake -0.000569
[982/5000][125/535][101197] Loss_D: -0.024651 Loss_G: -0.002721 Loss_D_real: -0.003464 Loss_D_fake 0.021187
[982/5000][130/535][101198] Loss_D: -0.024365 Loss_G: 0.021015 Loss_D_real: -0.021615 Loss_D_fake 0.002749
[982/5000][135/535][101199] Loss_D: -0.022978 Loss_G: -0.001016 Loss_D_real: -0.004218 Loss_D_fake 0.018760
[982/5000][140/535][101200] Loss_D: -0.023459 Loss_G: 0.017224 Loss_D_real: -0.024869 Loss_D_fake -0.001410
[982/5000][145/535][101201] Loss_D: -0.023426 Loss_G: -0.001834 Loss_D_real: -0.012778 Loss_D_fake 0.010648
[982/5000][150/535][101202] Loss_D: -0.023979 Loss_G: 0.013080 Loss_D_real: -0.014929 Loss_D_fake 0.009050
[982/5000][155/535][101203] Loss_D: -0.023649 Loss_G: -0.004166 Loss_D_real: -0.011163 Loss_D_fake 0.012486
[982/5000][160/535][101204] Loss_D: -0.022783 Loss_G: 0.016415 Loss_D_real: -0.024414 Loss_D_fake -0.001631
[982/5000][165/535][101205] Loss_D: -0.023308 Loss_G: 0.000608 Loss_D_real: -0.002579 Loss_D_fake 0.020729
[982/5000][170/535][101206] Loss_D: -0.023979 Loss_G: 0.013270 Loss_D_real: -0.022893 Loss_D_fake 0.001087
[982/5000][175/535][101207] Loss_D: -0.022863 Loss_G: 0.005399 Loss_D_real: -0.002991 Loss_D_fake 0.019872
[982/5000][180/535][101208] Loss_D: -0.022341 Loss_G: -0.003575 Loss_D_real: -0.018342 Loss_D_fake 0.003999
[982/5000][185/535][101209] Loss_D: -0.022733 Loss_G: 0.021780 Loss_D_real: -0.024311 Loss_D_fake -0.001578
[982/5000][190/535][101210] Loss_D: -0.023488 Loss_G: -0.016092 Loss_D_real: -0.006407 Loss_D_fake 0.017081
[982/5000][195/535][101211] Loss_D: -0.021381 Loss_G: -0.001931 Loss_D_real: -0.010882 Loss_D_fake 0.010499
[982/5000][200/535][101212] Loss_D: -0.021880 Loss_G: 0.013042 Loss_D_real: -0.020633 Loss_D_fake 0.001247
[982/5000][205/535][101213] Loss_D: -0.022949 Loss_G: 0.009408 Loss_D_real: -0.014070 Loss_D_fake 0.008879
[982/5000][210/535][101214] Loss_D: -0.022759 Loss_G: 0.020339 Loss_D_real: -0.026503 Loss_D_fake -0.003745
[982/5000][215/535][101215] Loss_D: -0.023466 Loss_G: 0.011817 Loss_D_real: -0.024258 Loss_D_fake -0.000793
[982/5000][220/535][101216] Loss_D: -0.023505 Loss_G: 0.000354 Loss_D_real: -0.018338 Loss_D_fake 0.005167
[982/5000][225/535][101217] Loss_D: -0.022313 Loss_G: -0.002041 Loss_D_real: -0.001777 Loss_D_fake 0.020536
[982/5000][230/535][101218] Loss_D: -0.024500 Loss_G: 0.018247 Loss_D_real: -0.023930 Loss_D_fake 0.000570
[982/5000][235/535][101219] Loss_D: -0.023577 Loss_G: 0.019308 Loss_D_real: -0.022360 Loss_D_fake 0.001217
[982/5000][240/535][101220] Loss_D: -0.022535 Loss_G: 0.001880 Loss_D_real: -0.016983 Loss_D_fake 0.005553
[982/5000][245/535][101221] Loss_D: -0.022571 Loss_G: -0.007683 Loss_D_real: -0.002181 Loss_D_fake 0.020390
[982/5000][250/535][101222] Loss_D: -0.021978 Loss_G: 0.027390 Loss_D_real: -0.028535 Loss_D_fake -0.006557
[982/5000][255/535][101223] Loss_D: -0.023318 Loss_G: 0.007355 Loss_D_real: -0.019555 Loss_D_fake 0.003763
[982/5000][260/535][101224] Loss_D: -0.023532 Loss_G: 0.023434 Loss_D_real: -0.030982 Loss_D_fake -0.007450
[982/5000][265/535][101225] Loss_D: -0.024786 Loss_G: 0.006255 Loss_D_real: -0.020902 Loss_D_fake 0.003884
[982/5000][270/535][101226] Loss_D: -0.022378 Loss_G: -0.018271 Loss_D_real: -0.001553 Loss_D_fake 0.020825
[982/5000][275/535][101227] Loss_D: -0.023327 Loss_G: -0.003529 Loss_D_real: -0.018586 Loss_D_fake 0.004741
[982/5000][280/535][101228] Loss_D: -0.022404 Loss_G: 0.004767 Loss_D_real: -0.019996 Loss_D_fake 0.002408
[982/5000][285/535][101229] Loss_D: -0.023877 Loss_G: 0.022596 Loss_D_real: -0.030520 Loss_D_fake -0.006643
[982/5000][290/535][101230] Loss_D: -0.021489 Loss_G: 0.033781 Loss_D_real: -0.028546 Loss_D_fake -0.007058
[982/5000][295/535][101231] Loss_D: -0.023898 Loss_G: 0.007165 Loss_D_real: -0.009204 Loss_D_fake 0.014694
[982/5000][300/535][101232] Loss_D: -0.022935 Loss_G: 0.004902 Loss_D_real: -0.010561 Loss_D_fake 0.012374
[982/5000][305/535][101233] Loss_D: -0.023734 Loss_G: 0.021674 Loss_D_real: -0.022573 Loss_D_fake 0.001161
[982/5000][310/535][101234] Loss_D: -0.023690 Loss_G: -0.003042 Loss_D_real: -0.019728 Loss_D_fake 0.003961
[982/5000][315/535][101235] Loss_D: -0.022530 Loss_G: 0.014229 Loss_D_real: -0.026062 Loss_D_fake -0.003532
[982/5000][320/535][101236] Loss_D: -0.025150 Loss_G: -0.002867 Loss_D_real: -0.021946 Loss_D_fake 0.003205
[982/5000][325/535][101237] Loss_D: -0.023909 Loss_G: 0.009255 Loss_D_real: -0.012421 Loss_D_fake 0.011489
[982/5000][330/535][101238] Loss_D: -0.022960 Loss_G: 0.018895 Loss_D_real: -0.024512 Loss_D_fake -0.001552
[982/5000][335/535][101239] Loss_D: -0.023333 Loss_G: -0.010645 Loss_D_real: -0.017591 Loss_D_fake 0.005742
[982/5000][340/535][101240] Loss_D: -0.023023 Loss_G: -0.012992 Loss_D_real: -0.009045 Loss_D_fake 0.013978
[982/5000][345/535][101241] Loss_D: -0.021725 Loss_G: 0.025942 Loss_D_real: -0.029326 Loss_D_fake -0.007601
[982/5000][350/535][101242] Loss_D: -0.022240 Loss_G: 0.021510 Loss_D_real: -0.033013 Loss_D_fake -0.010774
[982/5000][355/535][101243] Loss_D: -0.024106 Loss_G: 0.007395 Loss_D_real: -0.005302 Loss_D_fake 0.018805
[982/5000][360/535][101244] Loss_D: -0.023860 Loss_G: 0.010497 Loss_D_real: -0.015626 Loss_D_fake 0.008234
[982/5000][365/535][101245] Loss_D: -0.022370 Loss_G: 0.001400 Loss_D_real: -0.010833 Loss_D_fake 0.011537
[982/5000][370/535][101246] Loss_D: -0.022576 Loss_G: 0.006965 Loss_D_real: -0.025807 Loss_D_fake -0.003231
[982/5000][375/535][101247] Loss_D: -0.023200 Loss_G: 0.020414 Loss_D_real: -0.021630 Loss_D_fake 0.001570
[982/5000][380/535][101248] Loss_D: -0.021640 Loss_G: 0.024284 Loss_D_real: -0.032990 Loss_D_fake -0.011350
[982/5000][385/535][101249] Loss_D: -0.022037 Loss_G: 0.028068 Loss_D_real: -0.035008 Loss_D_fake -0.012972
[982/5000][390/535][101250] Loss_D: -0.022658 Loss_G: 0.000918 Loss_D_real: -0.011675 Loss_D_fake 0.010983
[982/5000][395/535][101251] Loss_D: -0.025108 Loss_G: 0.012656 Loss_D_real: -0.019125 Loss_D_fake 0.005982
[982/5000][400/535][101252] Loss_D: -0.023027 Loss_G: -0.006235 Loss_D_real: -0.021142 Loss_D_fake 0.001885
[982/5000][405/535][101253] Loss_D: -0.023005 Loss_G: 0.025319 Loss_D_real: -0.032549 Loss_D_fake -0.009544
[982/5000][410/535][101254] Loss_D: -0.022329 Loss_G: -0.005033 Loss_D_real: -0.015374 Loss_D_fake 0.006955
[982/5000][415/535][101255] Loss_D: -0.021398 Loss_G: -0.007801 Loss_D_real: -0.011035 Loss_D_fake 0.010363
[982/5000][420/535][101256] Loss_D: -0.023087 Loss_G: 0.013825 Loss_D_real: -0.024281 Loss_D_fake -0.001194
[982/5000][425/535][101257] Loss_D: -0.022920 Loss_G: 0.022757 Loss_D_real: -0.030406 Loss_D_fake -0.007486
[982/5000][430/535][101258] Loss_D: -0.025388 Loss_G: 0.010156 Loss_D_real: -0.024939 Loss_D_fake 0.000449
[982/5000][435/535][101259] Loss_D: -0.022238 Loss_G: 0.014400 Loss_D_real: -0.026340 Loss_D_fake -0.004102
[982/5000][440/535][101260] Loss_D: -0.023858 Loss_G: 0.025590 Loss_D_real: -0.035984 Loss_D_fake -0.012126
[982/5000][445/535][101261] Loss_D: -0.024409 Loss_G: 0.014746 Loss_D_real: -0.020721 Loss_D_fake 0.003688
[982/5000][450/535][101262] Loss_D: -0.023534 Loss_G: 0.004558 Loss_D_real: -0.023146 Loss_D_fake 0.000388
[982/5000][455/535][101263] Loss_D: -0.022941 Loss_G: 0.009437 Loss_D_real: -0.024583 Loss_D_fake -0.001642
[982/5000][460/535][101264] Loss_D: -0.023441 Loss_G: 0.010842 Loss_D_real: -0.021379 Loss_D_fake 0.002061
[982/5000][465/535][101265] Loss_D: -0.023348 Loss_G: -0.006872 Loss_D_real: -0.008595 Loss_D_fake 0.014753
[982/5000][470/535][101266] Loss_D: -0.021910 Loss_G: 0.007551 Loss_D_real: -0.031360 Loss_D_fake -0.009451
[982/5000][475/535][101267] Loss_D: -0.021602 Loss_G: 0.028314 Loss_D_real: -0.029886 Loss_D_fake -0.008284
[982/5000][480/535][101268] Loss_D: -0.024107 Loss_G: 0.010696 Loss_D_real: -0.022702 Loss_D_fake 0.001405
[982/5000][485/535][101269] Loss_D: -0.022525 Loss_G: 0.012264 Loss_D_real: -0.015355 Loss_D_fake 0.007170
[982/5000][490/535][101270] Loss_D: -0.023221 Loss_G: 0.025943 Loss_D_real: -0.017154 Loss_D_fake 0.006067
[982/5000][495/535][101271] Loss_D: -0.023243 Loss_G: 0.002289 Loss_D_real: -0.013386 Loss_D_fake 0.009858
[982/5000][500/535][101272] Loss_D: -0.022995 Loss_G: 0.002019 Loss_D_real: -0.011807 Loss_D_fake 0.011188
[982/5000][505/535][101273] Loss_D: -0.021769 Loss_G: -0.007451 Loss_D_real: -0.013748 Loss_D_fake 0.008021
[982/5000][510/535][101274] Loss_D: -0.021388 Loss_G: 0.008194 Loss_D_real: -0.025447 Loss_D_fake -0.004058
[982/5000][515/535][101275] Loss_D: -0.022186 Loss_G: 0.006260 Loss_D_real: -0.024793 Loss_D_fake -0.002607
[982/5000][520/535][101276] Loss_D: -0.022701 Loss_G: -0.008340 Loss_D_real: 0.004597 Loss_D_fake 0.027299
[982/5000][525/535][101277] Loss_D: -0.022049 Loss_G: 0.015715 Loss_D_real: -0.029026 Loss_D_fake -0.006977
[982/5000][530/535][101278] Loss_D: -0.021956 Loss_G: 0.008072 Loss_D_real: -0.012670 Loss_D_fake 0.009286
[982/5000][535/535][101279] Loss_D: -0.020148 Loss_G: 0.004440 Loss_D_real: -0.020023 Loss_D_fake 0.000126
[983/5000][5/535][101280] Loss_D: -0.024723 Loss_G: 0.005388 Loss_D_real: -0.019894 Loss_D_fake 0.004829
[983/5000][10/535][101281] Loss_D: -0.024055 Loss_G: -0.005565 Loss_D_real: -0.020165 Loss_D_fake 0.003891
[983/5000][15/535][101282] Loss_D: -0.022382 Loss_G: 0.017779 Loss_D_real: -0.030039 Loss_D_fake -0.007657
[983/5000][20/535][101283] Loss_D: -0.022785 Loss_G: 0.019832 Loss_D_real: -0.026975 Loss_D_fake -0.004190
[983/5000][25/535][101284] Loss_D: -0.023122 Loss_G: 0.012126 Loss_D_real: -0.017988 Loss_D_fake 0.005134
[983/5000][30/535][101285] Loss_D: -0.023035 Loss_G: 0.003674 Loss_D_real: -0.026765 Loss_D_fake -0.003730
[983/5000][35/535][101286] Loss_D: -0.023159 Loss_G: 0.001874 Loss_D_real: -0.020512 Loss_D_fake 0.002647
[983/5000][40/535][101287] Loss_D: -0.023512 Loss_G: 0.013270 Loss_D_real: -0.018457 Loss_D_fake 0.005056
[983/5000][45/535][101288] Loss_D: -0.023046 Loss_G: 0.009454 Loss_D_real: -0.021144 Loss_D_fake 0.001902
[983/5000][50/535][101289] Loss_D: -0.023770 Loss_G: 0.002480 Loss_D_real: -0.023640 Loss_D_fake 0.000129
[983/5000][55/535][101290] Loss_D: -0.020879 Loss_G: 0.022630 Loss_D_real: -0.030532 Loss_D_fake -0.009653
[983/5000][60/535][101291] Loss_D: -0.022912 Loss_G: 0.007482 Loss_D_real: -0.019764 Loss_D_fake 0.003148
[983/5000][65/535][101292] Loss_D: -0.023509 Loss_G: 0.012973 Loss_D_real: -0.016676 Loss_D_fake 0.006833
[983/5000][70/535][101293] Loss_D: -0.023564 Loss_G: 0.007591 Loss_D_real: -0.019086 Loss_D_fake 0.004479
[983/5000][75/535][101294] Loss_D: -0.023160 Loss_G: 0.012655 Loss_D_real: -0.027956 Loss_D_fake -0.004796
[983/5000][80/535][101295] Loss_D: -0.023587 Loss_G: -0.009011 Loss_D_real: -0.019661 Loss_D_fake 0.003927
[983/5000][85/535][101296] Loss_D: -0.022158 Loss_G: 0.024502 Loss_D_real: -0.031997 Loss_D_fake -0.009839
[983/5000][90/535][101297] Loss_D: -0.023768 Loss_G: 0.007956 Loss_D_real: -0.022430 Loss_D_fake 0.001338
[983/5000][95/535][101298] Loss_D: -0.023651 Loss_G: 0.003261 Loss_D_real: -0.015935 Loss_D_fake 0.007716
[983/5000][100/535][101299] Loss_D: -0.023228 Loss_G: 0.013899 Loss_D_real: -0.018918 Loss_D_fake 0.004310
[983/5000][105/535][101300] Loss_D: -0.023554 Loss_G: 0.021450 Loss_D_real: -0.024045 Loss_D_fake -0.000491
[983/5000][110/535][101301] Loss_D: -0.021815 Loss_G: -0.007913 Loss_D_real: -0.012604 Loss_D_fake 0.009210
[983/5000][115/535][101302] Loss_D: -0.022460 Loss_G: -0.001831 Loss_D_real: -0.003588 Loss_D_fake 0.018872
[983/5000][120/535][101303] Loss_D: -0.021990 Loss_G: 0.009487 Loss_D_real: -0.027279 Loss_D_fake -0.005288
[983/5000][125/535][101304] Loss_D: -0.022981 Loss_G: 0.005846 Loss_D_real: -0.015958 Loss_D_fake 0.007023
[983/5000][130/535][101305] Loss_D: -0.022663 Loss_G: 0.022470 Loss_D_real: -0.031909 Loss_D_fake -0.009246
[983/5000][135/535][101306] Loss_D: -0.021415 Loss_G: -0.006341 Loss_D_real: -0.017070 Loss_D_fake 0.004346
[983/5000][140/535][101307] Loss_D: -0.023289 Loss_G: 0.008247 Loss_D_real: -0.021626 Loss_D_fake 0.001664
[983/5000][145/535][101308] Loss_D: -0.022934 Loss_G: 0.009762 Loss_D_real: -0.013355 Loss_D_fake 0.009579
[983/5000][150/535][101309] Loss_D: -0.022440 Loss_G: 0.001636 Loss_D_real: -0.018286 Loss_D_fake 0.004154
[983/5000][155/535][101310] Loss_D: -0.023474 Loss_G: 0.008224 Loss_D_real: -0.005767 Loss_D_fake 0.017707
[983/5000][160/535][101311] Loss_D: -0.022713 Loss_G: 0.014582 Loss_D_real: -0.033251 Loss_D_fake -0.010538
[983/5000][165/535][101312] Loss_D: -0.023224 Loss_G: 0.018457 Loss_D_real: -0.028267 Loss_D_fake -0.005043
[983/5000][170/535][101313] Loss_D: -0.024112 Loss_G: -0.001464 Loss_D_real: -0.017217 Loss_D_fake 0.006895
[983/5000][175/535][101314] Loss_D: -0.022114 Loss_G: -0.015668 Loss_D_real: -0.012458 Loss_D_fake 0.009655
[983/5000][180/535][101315] Loss_D: -0.021809 Loss_G: 0.023915 Loss_D_real: -0.027086 Loss_D_fake -0.005277
[983/5000][185/535][101316] Loss_D: -0.022647 Loss_G: 0.006912 Loss_D_real: -0.019167 Loss_D_fake 0.003480
[983/5000][190/535][101317] Loss_D: -0.023786 Loss_G: 0.009232 Loss_D_real: -0.025098 Loss_D_fake -0.001312
[983/5000][195/535][101318] Loss_D: -0.023371 Loss_G: 0.002000 Loss_D_real: -0.013962 Loss_D_fake 0.009409
[983/5000][200/535][101319] Loss_D: -0.021961 Loss_G: 0.016896 Loss_D_real: -0.016880 Loss_D_fake 0.005081
[983/5000][205/535][101320] Loss_D: -0.022653 Loss_G: 0.021338 Loss_D_real: -0.021147 Loss_D_fake 0.001506
[983/5000][210/535][101321] Loss_D: -0.021712 Loss_G: 0.018016 Loss_D_real: -0.020575 Loss_D_fake 0.001137
[983/5000][215/535][101322] Loss_D: -0.022556 Loss_G: 0.004343 Loss_D_real: -0.020310 Loss_D_fake 0.002246
[983/5000][220/535][101323] Loss_D: -0.023074 Loss_G: 0.007787 Loss_D_real: -0.016096 Loss_D_fake 0.006977
[983/5000][225/535][101324] Loss_D: -0.022346 Loss_G: -0.017336 Loss_D_real: -0.005848 Loss_D_fake 0.016498
[983/5000][230/535][101325] Loss_D: -0.023298 Loss_G: 0.007978 Loss_D_real: -0.021797 Loss_D_fake 0.001500
[983/5000][235/535][101326] Loss_D: -0.023386 Loss_G: 0.002711 Loss_D_real: -0.008611 Loss_D_fake 0.014774
[983/5000][240/535][101327] Loss_D: -0.021062 Loss_G: -0.000502 Loss_D_real: -0.007827 Loss_D_fake 0.013234
[983/5000][245/535][101328] Loss_D: -0.024052 Loss_G: 0.001163 Loss_D_real: -0.013738 Loss_D_fake 0.010314
[983/5000][250/535][101329] Loss_D: -0.020622 Loss_G: 0.025003 Loss_D_real: -0.025807 Loss_D_fake -0.005185
[983/5000][255/535][101330] Loss_D: -0.022194 Loss_G: 0.017239 Loss_D_real: -0.021171 Loss_D_fake 0.001023
[983/5000][260/535][101331] Loss_D: -0.023262 Loss_G: 0.002406 Loss_D_real: -0.018454 Loss_D_fake 0.004808
[983/5000][265/535][101332] Loss_D: -0.023222 Loss_G: 0.012067 Loss_D_real: -0.019492 Loss_D_fake 0.003730
[983/5000][270/535][101333] Loss_D: -0.022969 Loss_G: 0.012869 Loss_D_real: -0.028706 Loss_D_fake -0.005737
[983/5000][275/535][101334] Loss_D: -0.023296 Loss_G: 0.014062 Loss_D_real: -0.028261 Loss_D_fake -0.004964
[983/5000][280/535][101335] Loss_D: -0.022364 Loss_G: 0.017183 Loss_D_real: -0.029347 Loss_D_fake -0.006983
[983/5000][285/535][101336] Loss_D: -0.022524 Loss_G: -0.008244 Loss_D_real: -0.008741 Loss_D_fake 0.013783
[983/5000][290/535][101337] Loss_D: -0.022676 Loss_G: 0.016550 Loss_D_real: -0.020258 Loss_D_fake 0.002418
[983/5000][295/535][101338] Loss_D: -0.023556 Loss_G: -0.009778 Loss_D_real: -0.006278 Loss_D_fake 0.017278
[983/5000][300/535][101339] Loss_D: -0.021365 Loss_G: 0.019489 Loss_D_real: -0.029737 Loss_D_fake -0.008372
[983/5000][305/535][101340] Loss_D: -0.022754 Loss_G: 0.014581 Loss_D_real: -0.030388 Loss_D_fake -0.007634
[983/5000][310/535][101341] Loss_D: -0.022705 Loss_G: -0.002374 Loss_D_real: -0.016403 Loss_D_fake 0.006303
[983/5000][315/535][101342] Loss_D: -0.022978 Loss_G: 0.002585 Loss_D_real: -0.007515 Loss_D_fake 0.015463
[983/5000][320/535][101343] Loss_D: -0.021714 Loss_G: 0.009119 Loss_D_real: -0.023416 Loss_D_fake -0.001702
[983/5000][325/535][101344] Loss_D: -0.022188 Loss_G: -0.008388 Loss_D_real: -0.020288 Loss_D_fake 0.001900
[983/5000][330/535][101345] Loss_D: -0.021387 Loss_G: 0.017628 Loss_D_real: -0.026390 Loss_D_fake -0.005003
[983/5000][335/535][101346] Loss_D: -0.022913 Loss_G: 0.010286 Loss_D_real: -0.021619 Loss_D_fake 0.001294
[983/5000][340/535][101347] Loss_D: -0.022192 Loss_G: 0.009779 Loss_D_real: -0.027017 Loss_D_fake -0.004825
[983/5000][345/535][101348] Loss_D: -0.023610 Loss_G: -0.002304 Loss_D_real: -0.003432 Loss_D_fake 0.020178
[983/5000][350/535][101349] Loss_D: -0.020011 Loss_G: 0.029162 Loss_D_real: -0.033678 Loss_D_fake -0.013667
[983/5000][355/535][101350] Loss_D: -0.022079 Loss_G: 0.002025 Loss_D_real: -0.009102 Loss_D_fake 0.012977
[983/5000][360/535][101351] Loss_D: -0.024371 Loss_G: 0.005803 Loss_D_real: -0.016238 Loss_D_fake 0.008133
[983/5000][365/535][101352] Loss_D: -0.022152 Loss_G: 0.011809 Loss_D_real: -0.028442 Loss_D_fake -0.006290
[983/5000][370/535][101353] Loss_D: -0.023474 Loss_G: 0.009034 Loss_D_real: -0.007275 Loss_D_fake 0.016199
[983/5000][375/535][101354] Loss_D: -0.023961 Loss_G: 0.012143 Loss_D_real: -0.013210 Loss_D_fake 0.010751
[983/5000][380/535][101355] Loss_D: -0.022527 Loss_G: -0.004706 Loss_D_real: -0.021940 Loss_D_fake 0.000587
[983/5000][385/535][101356] Loss_D: -0.023185 Loss_G: -0.011283 Loss_D_real: -0.007191 Loss_D_fake 0.015995
[983/5000][390/535][101357] Loss_D: -0.022428 Loss_G: 0.018070 Loss_D_real: -0.016327 Loss_D_fake 0.006101
[983/5000][395/535][101358] Loss_D: -0.023143 Loss_G: -0.002582 Loss_D_real: -0.008012 Loss_D_fake 0.015131
[983/5000][400/535][101359] Loss_D: -0.022815 Loss_G: 0.010137 Loss_D_real: -0.022699 Loss_D_fake 0.000116
[983/5000][405/535][101360] Loss_D: -0.022908 Loss_G: 0.011552 Loss_D_real: -0.029449 Loss_D_fake -0.006541
[983/5000][410/535][101361] Loss_D: -0.022663 Loss_G: -0.002003 Loss_D_real: -0.013999 Loss_D_fake 0.008664
[983/5000][415/535][101362] Loss_D: -0.023177 Loss_G: 0.017597 Loss_D_real: -0.027748 Loss_D_fake -0.004571
[983/5000][420/535][101363] Loss_D: -0.023151 Loss_G: 0.013404 Loss_D_real: -0.022774 Loss_D_fake 0.000377
[983/5000][425/535][101364] Loss_D: -0.022973 Loss_G: 0.000418 Loss_D_real: -0.018759 Loss_D_fake 0.004214
[983/5000][430/535][101365] Loss_D: -0.022948 Loss_G: 0.000720 Loss_D_real: -0.017405 Loss_D_fake 0.005544
[983/5000][435/535][101366] Loss_D: -0.022191 Loss_G: 0.000200 Loss_D_real: -0.012705 Loss_D_fake 0.009486
[983/5000][440/535][101367] Loss_D: -0.022380 Loss_G: 0.013080 Loss_D_real: -0.016583 Loss_D_fake 0.005797
[983/5000][445/535][101368] Loss_D: -0.023877 Loss_G: 0.003146 Loss_D_real: -0.019861 Loss_D_fake 0.004017
[983/5000][450/535][101369] Loss_D: -0.020997 Loss_G: -0.009420 Loss_D_real: -0.006363 Loss_D_fake 0.014634
[983/5000][455/535][101370] Loss_D: -0.022436 Loss_G: 0.011799 Loss_D_real: -0.033765 Loss_D_fake -0.011330
[983/5000][460/535][101371] Loss_D: -0.023441 Loss_G: -0.016568 Loss_D_real: -0.000308 Loss_D_fake 0.023133
[983/5000][465/535][101372] Loss_D: -0.022102 Loss_G: 0.013736 Loss_D_real: -0.021127 Loss_D_fake 0.000975
[983/5000][470/535][101373] Loss_D: -0.022455 Loss_G: 0.011483 Loss_D_real: -0.026682 Loss_D_fake -0.004226
[983/5000][475/535][101374] Loss_D: -0.022700 Loss_G: 0.014030 Loss_D_real: -0.022976 Loss_D_fake -0.000276
[983/5000][480/535][101375] Loss_D: -0.023176 Loss_G: 0.006550 Loss_D_real: -0.024524 Loss_D_fake -0.001348
[983/5000][485/535][101376] Loss_D: -0.023132 Loss_G: -0.008857 Loss_D_real: -0.016217 Loss_D_fake 0.006916
[983/5000][490/535][101377] Loss_D: -0.021446 Loss_G: 0.007749 Loss_D_real: -0.012224 Loss_D_fake 0.009222
[983/5000][495/535][101378] Loss_D: -0.022958 Loss_G: 0.017545 Loss_D_real: -0.020467 Loss_D_fake 0.002491
[983/5000][500/535][101379] Loss_D: -0.023942 Loss_G: 0.007735 Loss_D_real: -0.020096 Loss_D_fake 0.003846
[983/5000][505/535][101380] Loss_D: -0.023057 Loss_G: 0.023190 Loss_D_real: -0.027560 Loss_D_fake -0.004503
[983/5000][510/535][101381] Loss_D: -0.023488 Loss_G: 0.014656 Loss_D_real: -0.018689 Loss_D_fake 0.004799
[983/5000][515/535][101382] Loss_D: -0.022307 Loss_G: 0.026508 Loss_D_real: -0.021748 Loss_D_fake 0.000558
[983/5000][520/535][101383] Loss_D: -0.023859 Loss_G: 0.005530 Loss_D_real: -0.019340 Loss_D_fake 0.004519
[983/5000][525/535][101384] Loss_D: -0.022975 Loss_G: -0.007652 Loss_D_real: -0.018964 Loss_D_fake 0.004012
[983/5000][530/535][101385] Loss_D: -0.022926 Loss_G: -0.006507 Loss_D_real: -0.008623 Loss_D_fake 0.014303
[983/5000][535/535][101386] Loss_D: -0.022570 Loss_G: 0.032783 Loss_D_real: -0.036817 Loss_D_fake -0.014246
[984/5000][5/535][101387] Loss_D: -0.021085 Loss_G: 0.013975 Loss_D_real: -0.022048 Loss_D_fake -0.000964
[984/5000][10/535][101388] Loss_D: -0.022509 Loss_G: 0.005508 Loss_D_real: -0.026889 Loss_D_fake -0.004380
[984/5000][15/535][101389] Loss_D: -0.023157 Loss_G: 0.012666 Loss_D_real: -0.029251 Loss_D_fake -0.006094
[984/5000][20/535][101390] Loss_D: -0.022030 Loss_G: -0.022648 Loss_D_real: 0.008018 Loss_D_fake 0.030048
[984/5000][25/535][101391] Loss_D: -0.021805 Loss_G: 0.010548 Loss_D_real: -0.023966 Loss_D_fake -0.002161
[984/5000][30/535][101392] Loss_D: -0.022259 Loss_G: 0.025732 Loss_D_real: -0.033379 Loss_D_fake -0.011120
[984/5000][35/535][101393] Loss_D: -0.023151 Loss_G: -0.009756 Loss_D_real: -0.002671 Loss_D_fake 0.020480
[984/5000][40/535][101394] Loss_D: -0.022710 Loss_G: -0.004879 Loss_D_real: -0.016698 Loss_D_fake 0.006012
[984/5000][45/535][101395] Loss_D: -0.023861 Loss_G: 0.004759 Loss_D_real: -0.021693 Loss_D_fake 0.002169
[984/5000][50/535][101396] Loss_D: -0.021777 Loss_G: 0.004675 Loss_D_real: -0.009923 Loss_D_fake 0.011854
[984/5000][55/535][101397] Loss_D: -0.024157 Loss_G: 0.003038 Loss_D_real: -0.005071 Loss_D_fake 0.019085
[984/5000][60/535][101398] Loss_D: -0.022229 Loss_G: 0.004121 Loss_D_real: -0.015948 Loss_D_fake 0.006281
[984/5000][65/535][101399] Loss_D: -0.022899 Loss_G: 0.003116 Loss_D_real: -0.024986 Loss_D_fake -0.002087
[984/5000][70/535][101400] Loss_D: -0.023677 Loss_G: -0.001124 Loss_D_real: -0.013360 Loss_D_fake 0.010318
[984/5000][75/535][101401] Loss_D: -0.024250 Loss_G: 0.004222 Loss_D_real: -0.016414 Loss_D_fake 0.007836
[984/5000][80/535][101402] Loss_D: -0.023260 Loss_G: 0.020488 Loss_D_real: -0.022014 Loss_D_fake 0.001245
[984/5000][85/535][101403] Loss_D: -0.023438 Loss_G: -0.004231 Loss_D_real: -0.008843 Loss_D_fake 0.014594
[984/5000][90/535][101404] Loss_D: -0.021776 Loss_G: -0.004060 Loss_D_real: -0.010692 Loss_D_fake 0.011084
[984/5000][95/535][101405] Loss_D: -0.023031 Loss_G: 0.022791 Loss_D_real: -0.029526 Loss_D_fake -0.006495
[984/5000][100/535][101406] Loss_D: -0.021698 Loss_G: 0.011024 Loss_D_real: -0.024470 Loss_D_fake -0.002772
[984/5000][105/535][101407] Loss_D: -0.022497 Loss_G: 0.014891 Loss_D_real: -0.018796 Loss_D_fake 0.003700
[984/5000][110/535][101408] Loss_D: -0.023399 Loss_G: -0.001863 Loss_D_real: -0.005455 Loss_D_fake 0.017945
[984/5000][115/535][101409] Loss_D: -0.021334 Loss_G: 0.025729 Loss_D_real: -0.029389 Loss_D_fake -0.008055
[984/5000][120/535][101410] Loss_D: -0.022682 Loss_G: 0.007387 Loss_D_real: -0.005209 Loss_D_fake 0.017473
[984/5000][125/535][101411] Loss_D: -0.023914 Loss_G: 0.003388 Loss_D_real: -0.025120 Loss_D_fake -0.001206
[984/5000][130/535][101412] Loss_D: -0.024046 Loss_G: -0.003313 Loss_D_real: -0.022070 Loss_D_fake 0.001977
[984/5000][135/535][101413] Loss_D: -0.023742 Loss_G: -0.008627 Loss_D_real: -0.019349 Loss_D_fake 0.004393
[984/5000][140/535][101414] Loss_D: -0.022345 Loss_G: 0.001665 Loss_D_real: -0.009584 Loss_D_fake 0.012761
[984/5000][145/535][101415] Loss_D: -0.022355 Loss_G: 0.005461 Loss_D_real: -0.019515 Loss_D_fake 0.002841
[984/5000][150/535][101416] Loss_D: -0.022583 Loss_G: 0.005885 Loss_D_real: -0.011281 Loss_D_fake 0.011301
[984/5000][155/535][101417] Loss_D: -0.021357 Loss_G: -0.012780 Loss_D_real: -0.000181 Loss_D_fake 0.021176
[984/5000][160/535][101418] Loss_D: -0.022151 Loss_G: -0.012204 Loss_D_real: -0.000605 Loss_D_fake 0.021547
[984/5000][165/535][101419] Loss_D: -0.022367 Loss_G: 0.014001 Loss_D_real: -0.019774 Loss_D_fake 0.002593
[984/5000][170/535][101420] Loss_D: -0.022606 Loss_G: -0.006679 Loss_D_real: -0.011460 Loss_D_fake 0.011146
[984/5000][175/535][101421] Loss_D: -0.022666 Loss_G: 0.008174 Loss_D_real: -0.023655 Loss_D_fake -0.000988
[984/5000][180/535][101422] Loss_D: -0.022723 Loss_G: 0.006491 Loss_D_real: -0.018928 Loss_D_fake 0.003795
[984/5000][185/535][101423] Loss_D: -0.022162 Loss_G: -0.000292 Loss_D_real: -0.014555 Loss_D_fake 0.007606
[984/5000][190/535][101424] Loss_D: -0.024162 Loss_G: 0.005115 Loss_D_real: -0.017503 Loss_D_fake 0.006659
[984/5000][195/535][101425] Loss_D: -0.022396 Loss_G: 0.005828 Loss_D_real: -0.028855 Loss_D_fake -0.006460
[984/5000][200/535][101426] Loss_D: -0.022991 Loss_G: -0.002575 Loss_D_real: -0.020596 Loss_D_fake 0.002395
[984/5000][205/535][101427] Loss_D: -0.023476 Loss_G: 0.022202 Loss_D_real: -0.029525 Loss_D_fake -0.006050
[984/5000][210/535][101428] Loss_D: -0.023031 Loss_G: 0.007225 Loss_D_real: -0.025576 Loss_D_fake -0.002545
[984/5000][215/535][101429] Loss_D: -0.022445 Loss_G: 0.005233 Loss_D_real: -0.009400 Loss_D_fake 0.013044
[984/5000][220/535][101430] Loss_D: -0.024695 Loss_G: 0.016158 Loss_D_real: -0.027317 Loss_D_fake -0.002622
[984/5000][225/535][101431] Loss_D: -0.023489 Loss_G: 0.006231 Loss_D_real: -0.023389 Loss_D_fake 0.000099
[984/5000][230/535][101432] Loss_D: -0.023042 Loss_G: -0.003491 Loss_D_real: -0.006091 Loss_D_fake 0.016951
[984/5000][235/535][101433] Loss_D: -0.023082 Loss_G: 0.023615 Loss_D_real: -0.038070 Loss_D_fake -0.014988
[984/5000][240/535][101434] Loss_D: -0.023307 Loss_G: 0.028742 Loss_D_real: -0.031697 Loss_D_fake -0.008390
[984/5000][245/535][101435] Loss_D: -0.023077 Loss_G: -0.007056 Loss_D_real: -0.014256 Loss_D_fake 0.008821
[984/5000][250/535][101436] Loss_D: -0.024461 Loss_G: -0.006011 Loss_D_real: -0.012710 Loss_D_fake 0.011751
[984/5000][255/535][101437] Loss_D: -0.023251 Loss_G: 0.017290 Loss_D_real: -0.025516 Loss_D_fake -0.002265
[984/5000][260/535][101438] Loss_D: -0.021465 Loss_G: 0.004940 Loss_D_real: -0.028303 Loss_D_fake -0.006838
[984/5000][265/535][101439] Loss_D: -0.023583 Loss_G: 0.006395 Loss_D_real: -0.020057 Loss_D_fake 0.003526
[984/5000][270/535][101440] Loss_D: -0.023001 Loss_G: -0.002881 Loss_D_real: -0.011063 Loss_D_fake 0.011939
[984/5000][275/535][101441] Loss_D: -0.021830 Loss_G: 0.027679 Loss_D_real: -0.026666 Loss_D_fake -0.004836
[984/5000][280/535][101442] Loss_D: -0.022821 Loss_G: -0.006209 Loss_D_real: -0.010737 Loss_D_fake 0.012084
[984/5000][285/535][101443] Loss_D: -0.022640 Loss_G: 0.002427 Loss_D_real: -0.006808 Loss_D_fake 0.015832
[984/5000][290/535][101444] Loss_D: -0.022595 Loss_G: 0.003416 Loss_D_real: -0.015437 Loss_D_fake 0.007158
[984/5000][295/535][101445] Loss_D: -0.024520 Loss_G: 0.007333 Loss_D_real: -0.021609 Loss_D_fake 0.002911
[984/5000][300/535][101446] Loss_D: -0.023136 Loss_G: -0.002296 Loss_D_real: -0.013693 Loss_D_fake 0.009443
[984/5000][305/535][101447] Loss_D: -0.023738 Loss_G: 0.014233 Loss_D_real: -0.022787 Loss_D_fake 0.000951
[984/5000][310/535][101448] Loss_D: -0.023488 Loss_G: 0.022883 Loss_D_real: -0.022756 Loss_D_fake 0.000732
[984/5000][315/535][101449] Loss_D: -0.023899 Loss_G: 0.005173 Loss_D_real: -0.018510 Loss_D_fake 0.005389
[984/5000][320/535][101450] Loss_D: -0.023833 Loss_G: 0.008402 Loss_D_real: -0.020169 Loss_D_fake 0.003663
[984/5000][325/535][101451] Loss_D: -0.023490 Loss_G: 0.005462 Loss_D_real: -0.025714 Loss_D_fake -0.002224
[984/5000][330/535][101452] Loss_D: -0.023061 Loss_G: 0.019782 Loss_D_real: -0.033692 Loss_D_fake -0.010631
[984/5000][335/535][101453] Loss_D: -0.022582 Loss_G: -0.013862 Loss_D_real: -0.009035 Loss_D_fake 0.013548
[984/5000][340/535][101454] Loss_D: -0.022997 Loss_G: 0.021596 Loss_D_real: -0.031936 Loss_D_fake -0.008940
[984/5000][345/535][101455] Loss_D: -0.023306 Loss_G: 0.006416 Loss_D_real: -0.026098 Loss_D_fake -0.002792
[984/5000][350/535][101456] Loss_D: -0.022111 Loss_G: 0.011720 Loss_D_real: -0.022019 Loss_D_fake 0.000092
[984/5000][355/535][101457] Loss_D: -0.023275 Loss_G: -0.000153 Loss_D_real: -0.010495 Loss_D_fake 0.012780
[984/5000][360/535][101458] Loss_D: -0.021381 Loss_G: 0.007800 Loss_D_real: -0.015002 Loss_D_fake 0.006378
[984/5000][365/535][101459] Loss_D: -0.023516 Loss_G: 0.019446 Loss_D_real: -0.031808 Loss_D_fake -0.008292
[984/5000][370/535][101460] Loss_D: -0.023540 Loss_G: 0.009319 Loss_D_real: -0.021634 Loss_D_fake 0.001906
[984/5000][375/535][101461] Loss_D: -0.021770 Loss_G: 0.020562 Loss_D_real: -0.030685 Loss_D_fake -0.008914
[984/5000][380/535][101462] Loss_D: -0.023090 Loss_G: 0.010715 Loss_D_real: -0.030355 Loss_D_fake -0.007266
[984/5000][385/535][101463] Loss_D: -0.023654 Loss_G: 0.007413 Loss_D_real: -0.021753 Loss_D_fake 0.001901
[984/5000][390/535][101464] Loss_D: -0.022269 Loss_G: 0.019651 Loss_D_real: -0.026815 Loss_D_fake -0.004546
[984/5000][395/535][101465] Loss_D: -0.023524 Loss_G: 0.011096 Loss_D_real: -0.024873 Loss_D_fake -0.001349
[984/5000][400/535][101466] Loss_D: -0.022652 Loss_G: -0.005943 Loss_D_real: -0.016887 Loss_D_fake 0.005765
[984/5000][405/535][101467] Loss_D: -0.022218 Loss_G: 0.013558 Loss_D_real: -0.027774 Loss_D_fake -0.005556
[984/5000][410/535][101468] Loss_D: -0.023239 Loss_G: -0.004437 Loss_D_real: -0.015651 Loss_D_fake 0.007588
[984/5000][415/535][101469] Loss_D: -0.022781 Loss_G: 0.015323 Loss_D_real: -0.026689 Loss_D_fake -0.003908
[984/5000][420/535][101470] Loss_D: -0.022578 Loss_G: 0.002909 Loss_D_real: -0.023458 Loss_D_fake -0.000879
[984/5000][425/535][101471] Loss_D: -0.022970 Loss_G: -0.010157 Loss_D_real: -0.010969 Loss_D_fake 0.012002
[984/5000][430/535][101472] Loss_D: -0.022965 Loss_G: 0.011570 Loss_D_real: -0.020727 Loss_D_fake 0.002237
[984/5000][435/535][101473] Loss_D: -0.022556 Loss_G: -0.020487 Loss_D_real: -0.004575 Loss_D_fake 0.017981
[984/5000][440/535][101474] Loss_D: -0.020188 Loss_G: 0.015124 Loss_D_real: -0.029814 Loss_D_fake -0.009626
[984/5000][445/535][101475] Loss_D: -0.023813 Loss_G: -0.012369 Loss_D_real: -0.007963 Loss_D_fake 0.015850
[984/5000][450/535][101476] Loss_D: -0.023341 Loss_G: 0.023127 Loss_D_real: -0.027141 Loss_D_fake -0.003799
[984/5000][455/535][101477] Loss_D: -0.022064 Loss_G: 0.002888 Loss_D_real: -0.016601 Loss_D_fake 0.005463
[984/5000][460/535][101478] Loss_D: -0.022962 Loss_G: 0.006891 Loss_D_real: -0.015179 Loss_D_fake 0.007783
[984/5000][465/535][101479] Loss_D: -0.022403 Loss_G: 0.018963 Loss_D_real: -0.024687 Loss_D_fake -0.002284
[984/5000][470/535][101480] Loss_D: -0.020601 Loss_G: 0.009994 Loss_D_real: -0.015255 Loss_D_fake 0.005346
[984/5000][475/535][101481] Loss_D: -0.021100 Loss_G: 0.011204 Loss_D_real: -0.026915 Loss_D_fake -0.005815
[984/5000][480/535][101482] Loss_D: -0.022437 Loss_G: 0.006265 Loss_D_real: -0.020837 Loss_D_fake 0.001600
[984/5000][485/535][101483] Loss_D: -0.022947 Loss_G: -0.020899 Loss_D_real: -0.008537 Loss_D_fake 0.014410
[984/5000][490/535][101484] Loss_D: -0.022795 Loss_G: 0.015338 Loss_D_real: -0.016142 Loss_D_fake 0.006653
[984/5000][495/535][101485] Loss_D: -0.023496 Loss_G: 0.008222 Loss_D_real: -0.016116 Loss_D_fake 0.007380
[984/5000][500/535][101486] Loss_D: -0.022852 Loss_G: 0.009266 Loss_D_real: -0.022612 Loss_D_fake 0.000240
[984/5000][505/535][101487] Loss_D: -0.023222 Loss_G: 0.022178 Loss_D_real: -0.022143 Loss_D_fake 0.001079
[984/5000][510/535][101488] Loss_D: -0.023293 Loss_G: 0.013533 Loss_D_real: -0.029053 Loss_D_fake -0.005760
[984/5000][515/535][101489] Loss_D: -0.022885 Loss_G: 0.002774 Loss_D_real: -0.030048 Loss_D_fake -0.007163
[984/5000][520/535][101490] Loss_D: -0.024173 Loss_G: 0.006489 Loss_D_real: -0.018720 Loss_D_fake 0.005452
[984/5000][525/535][101491] Loss_D: -0.025106 Loss_G: 0.014323 Loss_D_real: -0.024169 Loss_D_fake 0.000937
[984/5000][530/535][101492] Loss_D: -0.022623 Loss_G: 0.012839 Loss_D_real: -0.022457 Loss_D_fake 0.000166
[984/5000][535/535][101493] Loss_D: -0.023854 Loss_G: 0.016200 Loss_D_real: -0.016510 Loss_D_fake 0.007344
[985/5000][5/535][101494] Loss_D: -0.023361 Loss_G: 0.006093 Loss_D_real: -0.015502 Loss_D_fake 0.007859
[985/5000][10/535][101495] Loss_D: -0.022586 Loss_G: 0.017736 Loss_D_real: -0.022449 Loss_D_fake 0.000137
[985/5000][15/535][101496] Loss_D: -0.022678 Loss_G: 0.006713 Loss_D_real: -0.015702 Loss_D_fake 0.006976
[985/5000][20/535][101497] Loss_D: -0.023585 Loss_G: -0.000110 Loss_D_real: -0.009648 Loss_D_fake 0.013937
[985/5000][25/535][101498] Loss_D: -0.023743 Loss_G: 0.003717 Loss_D_real: -0.023861 Loss_D_fake -0.000118
[985/5000][30/535][101499] Loss_D: -0.022450 Loss_G: 0.035158 Loss_D_real: -0.021765 Loss_D_fake 0.000685
[985/5000][35/535][101500] Loss_D: -0.024909 Loss_G: 0.011945 Loss_D_real: -0.031397 Loss_D_fake -0.006488
[985/5000][135/535][101501] Loss_D: -0.026517 Loss_G: 0.017128 Loss_D_real: -0.028862 Loss_D_fake -0.002344
[985/5000][140/535][101502] Loss_D: -0.021630 Loss_G: 0.008263 Loss_D_real: -0.017304 Loss_D_fake 0.004326
[985/5000][145/535][101503] Loss_D: -0.021943 Loss_G: 0.014050 Loss_D_real: -0.025181 Loss_D_fake -0.003238
[985/5000][150/535][101504] Loss_D: -0.019941 Loss_G: 0.008929 Loss_D_real: -0.030727 Loss_D_fake -0.010786
[985/5000][155/535][101505] Loss_D: -0.021773 Loss_G: -0.013535 Loss_D_real: -0.005635 Loss_D_fake 0.016138
[985/5000][160/535][101506] Loss_D: -0.019763 Loss_G: -0.003163 Loss_D_real: -0.009922 Loss_D_fake 0.009841
[985/5000][165/535][101507] Loss_D: -0.021418 Loss_G: 0.009876 Loss_D_real: -0.011565 Loss_D_fake 0.009853
[985/5000][170/535][101508] Loss_D: -0.020839 Loss_G: 0.003264 Loss_D_real: -0.014237 Loss_D_fake 0.006603
[985/5000][175/535][101509] Loss_D: -0.021850 Loss_G: 0.005247 Loss_D_real: -0.017624 Loss_D_fake 0.004225
[985/5000][180/535][101510] Loss_D: -0.021692 Loss_G: 0.012442 Loss_D_real: -0.025132 Loss_D_fake -0.003440
[985/5000][185/535][101511] Loss_D: -0.023382 Loss_G: -0.001830 Loss_D_real: -0.012255 Loss_D_fake 0.011127
[985/5000][190/535][101512] Loss_D: -0.021103 Loss_G: 0.011518 Loss_D_real: -0.027636 Loss_D_fake -0.006534
[985/5000][195/535][101513] Loss_D: -0.021934 Loss_G: 0.016170 Loss_D_real: -0.025350 Loss_D_fake -0.003416
[985/5000][200/535][101514] Loss_D: -0.022060 Loss_G: 0.003610 Loss_D_real: -0.022168 Loss_D_fake -0.000108
[985/5000][205/535][101515] Loss_D: -0.021692 Loss_G: 0.014166 Loss_D_real: -0.023298 Loss_D_fake -0.001606
[985/5000][210/535][101516] Loss_D: -0.023208 Loss_G: 0.015994 Loss_D_real: -0.018024 Loss_D_fake 0.005184
[985/5000][215/535][101517] Loss_D: -0.023507 Loss_G: 0.009748 Loss_D_real: -0.007530 Loss_D_fake 0.015976
[985/5000][220/535][101518] Loss_D: -0.021748 Loss_G: -0.003756 Loss_D_real: -0.016936 Loss_D_fake 0.004812
[985/5000][225/535][101519] Loss_D: -0.022286 Loss_G: 0.017463 Loss_D_real: -0.017962 Loss_D_fake 0.004325
[985/5000][230/535][101520] Loss_D: -0.023141 Loss_G: 0.013185 Loss_D_real: -0.024694 Loss_D_fake -0.001553
[985/5000][235/535][101521] Loss_D: -0.021704 Loss_G: 0.028292 Loss_D_real: -0.026121 Loss_D_fake -0.004417
[985/5000][240/535][101522] Loss_D: -0.022387 Loss_G: -0.008356 Loss_D_real: -0.015711 Loss_D_fake 0.006676
[985/5000][245/535][101523] Loss_D: -0.021752 Loss_G: 0.012032 Loss_D_real: -0.020331 Loss_D_fake 0.001421
[985/5000][250/535][101524] Loss_D: -0.022248 Loss_G: 0.016179 Loss_D_real: -0.042718 Loss_D_fake -0.020470
[985/5000][255/535][101525] Loss_D: -0.022458 Loss_G: -0.001834 Loss_D_real: -0.017829 Loss_D_fake 0.004629
[985/5000][260/535][101526] Loss_D: -0.021562 Loss_G: 0.019765 Loss_D_real: -0.031916 Loss_D_fake -0.010354
[985/5000][265/535][101527] Loss_D: -0.021625 Loss_G: 0.000051 Loss_D_real: -0.005819 Loss_D_fake 0.015806
[985/5000][270/535][101528] Loss_D: -0.023365 Loss_G: 0.002863 Loss_D_real: -0.017387 Loss_D_fake 0.005978
[985/5000][275/535][101529] Loss_D: -0.022743 Loss_G: 0.017316 Loss_D_real: -0.023260 Loss_D_fake -0.000516
[985/5000][280/535][101530] Loss_D: -0.022625 Loss_G: 0.000259 Loss_D_real: -0.022531 Loss_D_fake 0.000094
[985/5000][285/535][101531] Loss_D: -0.023541 Loss_G: 0.006573 Loss_D_real: -0.025663 Loss_D_fake -0.002121
[985/5000][290/535][101532] Loss_D: -0.021011 Loss_G: 0.033632 Loss_D_real: -0.024602 Loss_D_fake -0.003591
[985/5000][295/535][101533] Loss_D: -0.022187 Loss_G: -0.002822 Loss_D_real: -0.014019 Loss_D_fake 0.008168
[985/5000][300/535][101534] Loss_D: -0.022850 Loss_G: -0.004401 Loss_D_real: -0.010863 Loss_D_fake 0.011987
[985/5000][305/535][101535] Loss_D: -0.023052 Loss_G: 0.010265 Loss_D_real: -0.024143 Loss_D_fake -0.001091
[985/5000][310/535][101536] Loss_D: -0.022025 Loss_G: 0.018777 Loss_D_real: -0.033073 Loss_D_fake -0.011047
[985/5000][315/535][101537] Loss_D: -0.022398 Loss_G: -0.009481 Loss_D_real: -0.010757 Loss_D_fake 0.011641
[985/5000][320/535][101538] Loss_D: -0.023004 Loss_G: 0.001806 Loss_D_real: -0.009127 Loss_D_fake 0.013878
[985/5000][325/535][101539] Loss_D: -0.022372 Loss_G: 0.018011 Loss_D_real: -0.025952 Loss_D_fake -0.003580
[985/5000][330/535][101540] Loss_D: -0.022842 Loss_G: 0.007350 Loss_D_real: -0.015862 Loss_D_fake 0.006981
[985/5000][335/535][101541] Loss_D: -0.022328 Loss_G: 0.010519 Loss_D_real: -0.031284 Loss_D_fake -0.008957
[985/5000][340/535][101542] Loss_D: -0.023475 Loss_G: -0.007790 Loss_D_real: 0.000865 Loss_D_fake 0.024340
[985/5000][345/535][101543] Loss_D: -0.023028 Loss_G: 0.007437 Loss_D_real: -0.012610 Loss_D_fake 0.010418
[985/5000][350/535][101544] Loss_D: -0.022866 Loss_G: 0.012498 Loss_D_real: -0.022884 Loss_D_fake -0.000018
[985/5000][355/535][101545] Loss_D: -0.022031 Loss_G: -0.000105 Loss_D_real: -0.016252 Loss_D_fake 0.005780
[985/5000][360/535][101546] Loss_D: -0.023618 Loss_G: 0.018891 Loss_D_real: -0.027803 Loss_D_fake -0.004184
[985/5000][365/535][101547] Loss_D: -0.023431 Loss_G: 0.004123 Loss_D_real: -0.006580 Loss_D_fake 0.016851
[985/5000][370/535][101548] Loss_D: -0.021863 Loss_G: -0.018079 Loss_D_real: -0.006121 Loss_D_fake 0.015743
[985/5000][375/535][101549] Loss_D: -0.022987 Loss_G: 0.000394 Loss_D_real: -0.012300 Loss_D_fake 0.010687
[985/5000][380/535][101550] Loss_D: -0.023033 Loss_G: 0.019776 Loss_D_real: -0.021853 Loss_D_fake 0.001180
[985/5000][385/535][101551] Loss_D: -0.023812 Loss_G: -0.000704 Loss_D_real: -0.020066 Loss_D_fake 0.003746
[985/5000][390/535][101552] Loss_D: -0.023580 Loss_G: 0.011052 Loss_D_real: -0.030691 Loss_D_fake -0.007111
[985/5000][395/535][101553] Loss_D: -0.022814 Loss_G: -0.002491 Loss_D_real: -0.005812 Loss_D_fake 0.017001
[985/5000][400/535][101554] Loss_D: -0.022228 Loss_G: 0.019110 Loss_D_real: -0.028463 Loss_D_fake -0.006234
[985/5000][405/535][101555] Loss_D: -0.022156 Loss_G: 0.003090 Loss_D_real: -0.012458 Loss_D_fake 0.009698
[985/5000][410/535][101556] Loss_D: -0.023395 Loss_G: -0.007207 Loss_D_real: -0.019228 Loss_D_fake 0.004166
[985/5000][415/535][101557] Loss_D: -0.023108 Loss_G: 0.010510 Loss_D_real: -0.022152 Loss_D_fake 0.000956
[985/5000][420/535][101558] Loss_D: -0.023741 Loss_G: 0.000382 Loss_D_real: -0.022036 Loss_D_fake 0.001705
[985/5000][425/535][101559] Loss_D: -0.022267 Loss_G: 0.019270 Loss_D_real: -0.032889 Loss_D_fake -0.010622
[985/5000][430/535][101560] Loss_D: -0.023285 Loss_G: 0.012664 Loss_D_real: -0.027362 Loss_D_fake -0.004077
[985/5000][435/535][101561] Loss_D: -0.022924 Loss_G: 0.004010 Loss_D_real: -0.020173 Loss_D_fake 0.002751
[985/5000][440/535][101562] Loss_D: -0.022827 Loss_G: 0.030745 Loss_D_real: -0.034052 Loss_D_fake -0.011226
[985/5000][445/535][101563] Loss_D: -0.021263 Loss_G: -0.005086 Loss_D_real: -0.000352 Loss_D_fake 0.020911
[985/5000][450/535][101564] Loss_D: -0.021270 Loss_G: 0.008313 Loss_D_real: -0.028495 Loss_D_fake -0.007225
[985/5000][455/535][101565] Loss_D: -0.022833 Loss_G: 0.024976 Loss_D_real: -0.026366 Loss_D_fake -0.003532
[985/5000][460/535][101566] Loss_D: -0.022174 Loss_G: -0.004942 Loss_D_real: -0.004953 Loss_D_fake 0.017220
[985/5000][465/535][101567] Loss_D: -0.021537 Loss_G: 0.015881 Loss_D_real: -0.030245 Loss_D_fake -0.008707
[985/5000][470/535][101568] Loss_D: -0.023179 Loss_G: 0.009871 Loss_D_real: -0.017496 Loss_D_fake 0.005683
[985/5000][475/535][101569] Loss_D: -0.022863 Loss_G: -0.005248 Loss_D_real: -0.008643 Loss_D_fake 0.014220
[985/5000][480/535][101570] Loss_D: -0.023380 Loss_G: 0.023382 Loss_D_real: -0.022970 Loss_D_fake 0.000410
[985/5000][485/535][101571] Loss_D: -0.022051 Loss_G: 0.003553 Loss_D_real: -0.016554 Loss_D_fake 0.005497
[985/5000][490/535][101572] Loss_D: -0.022466 Loss_G: 0.002941 Loss_D_real: -0.027765 Loss_D_fake -0.005300
[985/5000][495/535][101573] Loss_D: -0.021416 Loss_G: 0.027794 Loss_D_real: -0.034330 Loss_D_fake -0.012914
[985/5000][500/535][101574] Loss_D: -0.021658 Loss_G: 0.010444 Loss_D_real: -0.029522 Loss_D_fake -0.007864
[985/5000][505/535][101575] Loss_D: -0.022221 Loss_G: -0.006604 Loss_D_real: -0.012543 Loss_D_fake 0.009678
[985/5000][510/535][101576] Loss_D: -0.024234 Loss_G: 0.015988 Loss_D_real: -0.020386 Loss_D_fake 0.003848
[985/5000][515/535][101577] Loss_D: -0.022916 Loss_G: 0.022643 Loss_D_real: -0.026904 Loss_D_fake -0.003988
[985/5000][520/535][101578] Loss_D: -0.022317 Loss_G: -0.003605 Loss_D_real: -0.009202 Loss_D_fake 0.013115
[985/5000][525/535][101579] Loss_D: -0.022803 Loss_G: 0.023350 Loss_D_real: -0.025594 Loss_D_fake -0.002792
[985/5000][530/535][101580] Loss_D: -0.024406 Loss_G: 0.005439 Loss_D_real: -0.006356 Loss_D_fake 0.018050
[985/5000][535/535][101581] Loss_D: -0.024545 Loss_G: 0.007402 Loss_D_real: -0.028959 Loss_D_fake -0.004414
[986/5000][5/535][101582] Loss_D: -0.023100 Loss_G: 0.011312 Loss_D_real: -0.033702 Loss_D_fake -0.010602
[986/5000][10/535][101583] Loss_D: -0.023044 Loss_G: 0.019626 Loss_D_real: -0.039630 Loss_D_fake -0.016586
[986/5000][15/535][101584] Loss_D: -0.024259 Loss_G: 0.013244 Loss_D_real: -0.025527 Loss_D_fake -0.001268
[986/5000][20/535][101585] Loss_D: -0.023966 Loss_G: -0.003682 Loss_D_real: -0.016175 Loss_D_fake 0.007791
[986/5000][25/535][101586] Loss_D: -0.023541 Loss_G: -0.001843 Loss_D_real: -0.010254 Loss_D_fake 0.013288
[986/5000][30/535][101587] Loss_D: -0.023385 Loss_G: 0.020106 Loss_D_real: -0.028670 Loss_D_fake -0.005285
[986/5000][35/535][101588] Loss_D: -0.022993 Loss_G: -0.005974 Loss_D_real: -0.012789 Loss_D_fake 0.010203
[986/5000][40/535][101589] Loss_D: -0.022874 Loss_G: -0.011432 Loss_D_real: -0.000305 Loss_D_fake 0.022569
[986/5000][45/535][101590] Loss_D: -0.021821 Loss_G: 0.018564 Loss_D_real: -0.026607 Loss_D_fake -0.004786
[986/5000][50/535][101591] Loss_D: -0.023202 Loss_G: 0.001494 Loss_D_real: -0.024417 Loss_D_fake -0.001214
[986/5000][55/535][101592] Loss_D: -0.022254 Loss_G: -0.009525 Loss_D_real: -0.009241 Loss_D_fake 0.013012
[986/5000][60/535][101593] Loss_D: -0.023208 Loss_G: 0.003879 Loss_D_real: -0.019243 Loss_D_fake 0.003964
[986/5000][65/535][101594] Loss_D: -0.021706 Loss_G: 0.012921 Loss_D_real: -0.011376 Loss_D_fake 0.010331
[986/5000][70/535][101595] Loss_D: -0.022325 Loss_G: 0.013716 Loss_D_real: -0.030853 Loss_D_fake -0.008528
[986/5000][75/535][101596] Loss_D: -0.022572 Loss_G: 0.002879 Loss_D_real: -0.013235 Loss_D_fake 0.009338
[986/5000][80/535][101597] Loss_D: -0.022818 Loss_G: 0.028864 Loss_D_real: -0.035393 Loss_D_fake -0.012575
[986/5000][85/535][101598] Loss_D: -0.023470 Loss_G: 0.009047 Loss_D_real: -0.021846 Loss_D_fake 0.001624
[986/5000][90/535][101599] Loss_D: -0.022423 Loss_G: -0.008384 Loss_D_real: -0.013916 Loss_D_fake 0.008507
[986/5000][95/535][101600] Loss_D: -0.022696 Loss_G: 0.011017 Loss_D_real: -0.017373 Loss_D_fake 0.005323
[986/5000][100/535][101601] Loss_D: -0.022579 Loss_G: 0.004575 Loss_D_real: -0.010890 Loss_D_fake 0.011689
[986/5000][105/535][101602] Loss_D: -0.022507 Loss_G: 0.008881 Loss_D_real: -0.023067 Loss_D_fake -0.000560
[986/5000][110/535][101603] Loss_D: -0.022472 Loss_G: 0.010648 Loss_D_real: -0.017408 Loss_D_fake 0.005064
[986/5000][115/535][101604] Loss_D: -0.024157 Loss_G: 0.006382 Loss_D_real: -0.014276 Loss_D_fake 0.009882
[986/5000][120/535][101605] Loss_D: -0.023633 Loss_G: 0.006220 Loss_D_real: -0.005093 Loss_D_fake 0.018540
[986/5000][125/535][101606] Loss_D: -0.022419 Loss_G: 0.020622 Loss_D_real: -0.029197 Loss_D_fake -0.006778
[986/5000][130/535][101607] Loss_D: -0.023235 Loss_G: 0.005620 Loss_D_real: -0.031721 Loss_D_fake -0.008485
[986/5000][135/535][101608] Loss_D: -0.021426 Loss_G: 0.019858 Loss_D_real: -0.030846 Loss_D_fake -0.009420
[986/5000][140/535][101609] Loss_D: -0.023077 Loss_G: 0.015343 Loss_D_real: -0.035271 Loss_D_fake -0.012194
[986/5000][145/535][101610] Loss_D: -0.023485 Loss_G: 0.000069 Loss_D_real: -0.011528 Loss_D_fake 0.011957
[986/5000][150/535][101611] Loss_D: -0.023253 Loss_G: 0.015428 Loss_D_real: -0.026580 Loss_D_fake -0.003327
[986/5000][155/535][101612] Loss_D: -0.022930 Loss_G: 0.008194 Loss_D_real: -0.025039 Loss_D_fake -0.002109
[986/5000][160/535][101613] Loss_D: -0.022416 Loss_G: 0.010607 Loss_D_real: -0.024043 Loss_D_fake -0.001628
[986/5000][165/535][101614] Loss_D: -0.021437 Loss_G: 0.015510 Loss_D_real: -0.028691 Loss_D_fake -0.007254
[986/5000][170/535][101615] Loss_D: -0.022789 Loss_G: 0.012467 Loss_D_real: -0.020614 Loss_D_fake 0.002175
[986/5000][175/535][101616] Loss_D: -0.023176 Loss_G: -0.009256 Loss_D_real: -0.009015 Loss_D_fake 0.014161
[986/5000][180/535][101617] Loss_D: -0.021122 Loss_G: -0.015264 Loss_D_real: -0.002879 Loss_D_fake 0.018243
[986/5000][185/535][101618] Loss_D: -0.021724 Loss_G: 0.008928 Loss_D_real: -0.024674 Loss_D_fake -0.002949
[986/5000][190/535][101619] Loss_D: -0.023012 Loss_G: 0.004689 Loss_D_real: -0.019199 Loss_D_fake 0.003813
[986/5000][195/535][101620] Loss_D: -0.023496 Loss_G: 0.015816 Loss_D_real: -0.017533 Loss_D_fake 0.005963
[986/5000][200/535][101621] Loss_D: -0.022728 Loss_G: 0.027900 Loss_D_real: -0.040549 Loss_D_fake -0.017822
[986/5000][205/535][101622] Loss_D: -0.023136 Loss_G: 0.016383 Loss_D_real: -0.030398 Loss_D_fake -0.007262
[986/5000][210/535][101623] Loss_D: -0.023954 Loss_G: -0.000008 Loss_D_real: -0.012920 Loss_D_fake 0.011034
[986/5000][215/535][101624] Loss_D: -0.022345 Loss_G: 0.014075 Loss_D_real: -0.012169 Loss_D_fake 0.010175
[986/5000][220/535][101625] Loss_D: -0.022296 Loss_G: 0.029721 Loss_D_real: -0.039253 Loss_D_fake -0.016957
[986/5000][225/535][101626] Loss_D: -0.023317 Loss_G: -0.000628 Loss_D_real: -0.009415 Loss_D_fake 0.013902
[986/5000][230/535][101627] Loss_D: -0.024112 Loss_G: 0.008179 Loss_D_real: -0.032977 Loss_D_fake -0.008865
[986/5000][235/535][101628] Loss_D: -0.022966 Loss_G: 0.015597 Loss_D_real: -0.015813 Loss_D_fake 0.007154
[986/5000][240/535][101629] Loss_D: -0.021590 Loss_G: 0.036164 Loss_D_real: -0.031570 Loss_D_fake -0.009981
[986/5000][245/535][101630] Loss_D: -0.022181 Loss_G: 0.017913 Loss_D_real: -0.031112 Loss_D_fake -0.008930
[986/5000][250/535][101631] Loss_D: -0.023464 Loss_G: -0.001574 Loss_D_real: -0.013239 Loss_D_fake 0.010225
[986/5000][255/535][101632] Loss_D: -0.023977 Loss_G: 0.001793 Loss_D_real: -0.019659 Loss_D_fake 0.004318
[986/5000][260/535][101633] Loss_D: -0.023129 Loss_G: 0.008988 Loss_D_real: -0.018641 Loss_D_fake 0.004488
[986/5000][265/535][101634] Loss_D: -0.021749 Loss_G: 0.003482 Loss_D_real: -0.025304 Loss_D_fake -0.003555
[986/5000][270/535][101635] Loss_D: -0.021305 Loss_G: 0.017609 Loss_D_real: -0.028502 Loss_D_fake -0.007197
[986/5000][275/535][101636] Loss_D: -0.023193 Loss_G: -0.003815 Loss_D_real: -0.013775 Loss_D_fake 0.009418
[986/5000][280/535][101637] Loss_D: -0.022389 Loss_G: 0.018773 Loss_D_real: -0.031844 Loss_D_fake -0.009456
[986/5000][285/535][101638] Loss_D: -0.022765 Loss_G: -0.005012 Loss_D_real: -0.021530 Loss_D_fake 0.001235
[986/5000][290/535][101639] Loss_D: -0.023591 Loss_G: 0.003068 Loss_D_real: -0.021446 Loss_D_fake 0.002145
[986/5000][295/535][101640] Loss_D: -0.024417 Loss_G: 0.012785 Loss_D_real: -0.030144 Loss_D_fake -0.005727
[986/5000][300/535][101641] Loss_D: -0.023008 Loss_G: -0.005196 Loss_D_real: -0.003581 Loss_D_fake 0.019428
[986/5000][305/535][101642] Loss_D: -0.023645 Loss_G: 0.006525 Loss_D_real: -0.014317 Loss_D_fake 0.009328
[986/5000][310/535][101643] Loss_D: -0.022178 Loss_G: 0.005388 Loss_D_real: -0.021938 Loss_D_fake 0.000240
[986/5000][315/535][101644] Loss_D: -0.021871 Loss_G: 0.003390 Loss_D_real: -0.008990 Loss_D_fake 0.012881
[986/5000][320/535][101645] Loss_D: -0.022831 Loss_G: 0.006360 Loss_D_real: -0.012344 Loss_D_fake 0.010486
[986/5000][325/535][101646] Loss_D: -0.023720 Loss_G: -0.000392 Loss_D_real: -0.010706 Loss_D_fake 0.013014
[986/5000][330/535][101647] Loss_D: -0.022574 Loss_G: -0.007590 Loss_D_real: -0.012859 Loss_D_fake 0.009715
[986/5000][335/535][101648] Loss_D: -0.023088 Loss_G: 0.012761 Loss_D_real: -0.023819 Loss_D_fake -0.000731
[986/5000][340/535][101649] Loss_D: -0.023202 Loss_G: -0.016999 Loss_D_real: 0.000171 Loss_D_fake 0.023373
[986/5000][345/535][101650] Loss_D: -0.021923 Loss_G: 0.003935 Loss_D_real: -0.006310 Loss_D_fake 0.015613
[986/5000][350/535][101651] Loss_D: -0.022463 Loss_G: 0.015102 Loss_D_real: -0.027571 Loss_D_fake -0.005108
[986/5000][355/535][101652] Loss_D: -0.020398 Loss_G: 0.027003 Loss_D_real: -0.033290 Loss_D_fake -0.012892
[986/5000][360/535][101653] Loss_D: -0.021259 Loss_G: -0.006158 Loss_D_real: -0.005369 Loss_D_fake 0.015890
[986/5000][365/535][101654] Loss_D: -0.021809 Loss_G: -0.006117 Loss_D_real: -0.002685 Loss_D_fake 0.019124
[986/5000][370/535][101655] Loss_D: -0.021285 Loss_G: 0.014927 Loss_D_real: -0.019187 Loss_D_fake 0.002098
[986/5000][375/535][101656] Loss_D: -0.023427 Loss_G: 0.009312 Loss_D_real: -0.019294 Loss_D_fake 0.004133
[986/5000][380/535][101657] Loss_D: -0.021262 Loss_G: 0.024916 Loss_D_real: -0.032220 Loss_D_fake -0.010958
[986/5000][385/535][101658] Loss_D: -0.022165 Loss_G: -0.016108 Loss_D_real: -0.002608 Loss_D_fake 0.019557
[986/5000][390/535][101659] Loss_D: -0.023156 Loss_G: 0.023032 Loss_D_real: -0.023973 Loss_D_fake -0.000816
[986/5000][395/535][101660] Loss_D: -0.023205 Loss_G: 0.005460 Loss_D_real: -0.024928 Loss_D_fake -0.001723
[986/5000][400/535][101661] Loss_D: -0.023915 Loss_G: 0.001532 Loss_D_real: -0.014127 Loss_D_fake 0.009789
[986/5000][405/535][101662] Loss_D: -0.022232 Loss_G: 0.021183 Loss_D_real: -0.026579 Loss_D_fake -0.004347
[986/5000][410/535][101663] Loss_D: -0.022306 Loss_G: -0.006846 Loss_D_real: -0.013645 Loss_D_fake 0.008661
[986/5000][415/535][101664] Loss_D: -0.021819 Loss_G: 0.005645 Loss_D_real: -0.029959 Loss_D_fake -0.008140
[986/5000][420/535][101665] Loss_D: -0.023286 Loss_G: 0.014904 Loss_D_real: -0.010261 Loss_D_fake 0.013025
[986/5000][425/535][101666] Loss_D: -0.022847 Loss_G: 0.010230 Loss_D_real: -0.018618 Loss_D_fake 0.004229
[986/5000][430/535][101667] Loss_D: -0.024326 Loss_G: 0.008405 Loss_D_real: -0.010004 Loss_D_fake 0.014322
[986/5000][435/535][101668] Loss_D: -0.023585 Loss_G: 0.008000 Loss_D_real: -0.019448 Loss_D_fake 0.004137
[986/5000][440/535][101669] Loss_D: -0.023081 Loss_G: 0.016571 Loss_D_real: -0.032155 Loss_D_fake -0.009073
[986/5000][445/535][101670] Loss_D: -0.023311 Loss_G: 0.008943 Loss_D_real: -0.017731 Loss_D_fake 0.005581
[986/5000][450/535][101671] Loss_D: -0.022143 Loss_G: 0.025545 Loss_D_real: -0.034663 Loss_D_fake -0.012520
[986/5000][455/535][101672] Loss_D: -0.022478 Loss_G: 0.003521 Loss_D_real: -0.021198 Loss_D_fake 0.001279
[986/5000][460/535][101673] Loss_D: -0.023275 Loss_G: 0.025121 Loss_D_real: -0.025447 Loss_D_fake -0.002172
[986/5000][465/535][101674] Loss_D: -0.022746 Loss_G: 0.019497 Loss_D_real: -0.021362 Loss_D_fake 0.001385
[986/5000][470/535][101675] Loss_D: -0.023379 Loss_G: 0.000360 Loss_D_real: -0.009408 Loss_D_fake 0.013970
[986/5000][475/535][101676] Loss_D: -0.022286 Loss_G: 0.000178 Loss_D_real: -0.014180 Loss_D_fake 0.008106
[986/5000][480/535][101677] Loss_D: -0.020882 Loss_G: 0.008290 Loss_D_real: -0.016245 Loss_D_fake 0.004638
[986/5000][485/535][101678] Loss_D: -0.021841 Loss_G: 0.014132 Loss_D_real: -0.028389 Loss_D_fake -0.006548
[986/5000][490/535][101679] Loss_D: -0.023120 Loss_G: 0.007965 Loss_D_real: -0.014698 Loss_D_fake 0.008422
[986/5000][495/535][101680] Loss_D: -0.023355 Loss_G: -0.003504 Loss_D_real: -0.012525 Loss_D_fake 0.010831
[986/5000][500/535][101681] Loss_D: -0.023672 Loss_G: 0.008292 Loss_D_real: -0.024523 Loss_D_fake -0.000851
[986/5000][505/535][101682] Loss_D: -0.023909 Loss_G: 0.004034 Loss_D_real: -0.008323 Loss_D_fake 0.015586
[986/5000][510/535][101683] Loss_D: -0.022482 Loss_G: 0.019725 Loss_D_real: -0.033278 Loss_D_fake -0.010796
[986/5000][515/535][101684] Loss_D: -0.022346 Loss_G: 0.014081 Loss_D_real: -0.011106 Loss_D_fake 0.011240
[986/5000][520/535][101685] Loss_D: -0.021995 Loss_G: 0.012272 Loss_D_real: -0.030795 Loss_D_fake -0.008800
[986/5000][525/535][101686] Loss_D: -0.022894 Loss_G: 0.016065 Loss_D_real: -0.023241 Loss_D_fake -0.000347
[986/5000][530/535][101687] Loss_D: -0.022466 Loss_G: -0.001750 Loss_D_real: -0.014959 Loss_D_fake 0.007506
[986/5000][535/535][101688] Loss_D: -0.022540 Loss_G: 0.008067 Loss_D_real: -0.011936 Loss_D_fake 0.010604
[987/5000][5/535][101689] Loss_D: -0.024815 Loss_G: 0.009515 Loss_D_real: -0.025845 Loss_D_fake -0.001030
[987/5000][10/535][101690] Loss_D: -0.022817 Loss_G: 0.022629 Loss_D_real: -0.026072 Loss_D_fake -0.003255
[987/5000][15/535][101691] Loss_D: -0.025174 Loss_G: -0.005664 Loss_D_real: -0.007212 Loss_D_fake 0.017962
[987/5000][20/535][101692] Loss_D: -0.023811 Loss_G: 0.023404 Loss_D_real: -0.030441 Loss_D_fake -0.006630
[987/5000][25/535][101693] Loss_D: -0.023310 Loss_G: 0.017182 Loss_D_real: -0.043672 Loss_D_fake -0.020361
[987/5000][30/535][101694] Loss_D: -0.024316 Loss_G: 0.026661 Loss_D_real: -0.031822 Loss_D_fake -0.007506
[987/5000][35/535][101695] Loss_D: -0.023002 Loss_G: 0.001027 Loss_D_real: -0.020278 Loss_D_fake 0.002724
[987/5000][40/535][101696] Loss_D: -0.023373 Loss_G: 0.009399 Loss_D_real: -0.024563 Loss_D_fake -0.001190
[987/5000][45/535][101697] Loss_D: -0.024005 Loss_G: 0.012301 Loss_D_real: -0.023290 Loss_D_fake 0.000715
[987/5000][50/535][101698] Loss_D: -0.023894 Loss_G: -0.004954 Loss_D_real: -0.011677 Loss_D_fake 0.012217
[987/5000][55/535][101699] Loss_D: -0.021680 Loss_G: 0.029591 Loss_D_real: -0.030867 Loss_D_fake -0.009187
[987/5000][60/535][101700] Loss_D: -0.022530 Loss_G: -0.019185 Loss_D_real: -0.005531 Loss_D_fake 0.016999
[987/5000][65/535][101701] Loss_D: -0.021482 Loss_G: 0.009135 Loss_D_real: -0.011293 Loss_D_fake 0.010189
[987/5000][70/535][101702] Loss_D: -0.022167 Loss_G: -0.000905 Loss_D_real: -0.018514 Loss_D_fake 0.003653
[987/5000][75/535][101703] Loss_D: -0.023705 Loss_G: 0.011772 Loss_D_real: -0.023094 Loss_D_fake 0.000611
[987/5000][80/535][101704] Loss_D: -0.022264 Loss_G: 0.003074 Loss_D_real: -0.022325 Loss_D_fake -0.000061
[987/5000][85/535][101705] Loss_D: -0.023003 Loss_G: 0.018659 Loss_D_real: -0.026216 Loss_D_fake -0.003213
[987/5000][90/535][101706] Loss_D: -0.021531 Loss_G: 0.028544 Loss_D_real: -0.030183 Loss_D_fake -0.008652
[987/5000][95/535][101707] Loss_D: -0.022780 Loss_G: 0.002577 Loss_D_real: -0.011124 Loss_D_fake 0.011656
[987/5000][100/535][101708] Loss_D: -0.021406 Loss_G: 0.010468 Loss_D_real: -0.022719 Loss_D_fake -0.001313
[987/5000][105/535][101709] Loss_D: -0.022932 Loss_G: 0.001139 Loss_D_real: -0.005286 Loss_D_fake 0.017646
[987/5000][110/535][101710] Loss_D: -0.022414 Loss_G: 0.009711 Loss_D_real: -0.025179 Loss_D_fake -0.002765
[987/5000][115/535][101711] Loss_D: -0.024051 Loss_G: 0.012990 Loss_D_real: -0.018905 Loss_D_fake 0.005146
[987/5000][120/535][101712] Loss_D: -0.023702 Loss_G: -0.001093 Loss_D_real: -0.011996 Loss_D_fake 0.011706
[987/5000][125/535][101713] Loss_D: -0.023949 Loss_G: 0.005951 Loss_D_real: -0.023398 Loss_D_fake 0.000551
[987/5000][130/535][101714] Loss_D: -0.024778 Loss_G: 0.005382 Loss_D_real: -0.016518 Loss_D_fake 0.008260
[987/5000][135/535][101715] Loss_D: -0.022556 Loss_G: 0.010681 Loss_D_real: -0.019480 Loss_D_fake 0.003076
[987/5000][140/535][101716] Loss_D: -0.023880 Loss_G: -0.005648 Loss_D_real: -0.013420 Loss_D_fake 0.010460
[987/5000][145/535][101717] Loss_D: -0.024940 Loss_G: 0.008277 Loss_D_real: -0.013915 Loss_D_fake 0.011025
[987/5000][150/535][101718] Loss_D: -0.023063 Loss_G: 0.014282 Loss_D_real: -0.032944 Loss_D_fake -0.009881
[987/5000][155/535][101719] Loss_D: -0.024037 Loss_G: 0.025772 Loss_D_real: -0.025959 Loss_D_fake -0.001921
[987/5000][160/535][101720] Loss_D: -0.022919 Loss_G: 0.031548 Loss_D_real: -0.031653 Loss_D_fake -0.008734
[987/5000][165/535][101721] Loss_D: -0.022259 Loss_G: 0.012507 Loss_D_real: -0.029415 Loss_D_fake -0.007156
[987/5000][170/535][101722] Loss_D: -0.024406 Loss_G: 0.001674 Loss_D_real: -0.012359 Loss_D_fake 0.012047
[987/5000][175/535][101723] Loss_D: -0.022318 Loss_G: 0.017562 Loss_D_real: -0.027399 Loss_D_fake -0.005082
[987/5000][180/535][101724] Loss_D: -0.023499 Loss_G: 0.000128 Loss_D_real: -0.009338 Loss_D_fake 0.014161
[987/5000][185/535][101725] Loss_D: -0.022860 Loss_G: -0.002212 Loss_D_real: -0.007695 Loss_D_fake 0.015164
[987/5000][190/535][101726] Loss_D: -0.022104 Loss_G: 0.017471 Loss_D_real: -0.039397 Loss_D_fake -0.017293
[987/5000][195/535][101727] Loss_D: -0.022194 Loss_G: 0.015202 Loss_D_real: -0.028312 Loss_D_fake -0.006118
[987/5000][200/535][101728] Loss_D: -0.022129 Loss_G: 0.013915 Loss_D_real: -0.030985 Loss_D_fake -0.008856
[987/5000][205/535][101729] Loss_D: -0.022026 Loss_G: -0.007925 Loss_D_real: -0.005860 Loss_D_fake 0.016165
[987/5000][210/535][101730] Loss_D: -0.022421 Loss_G: -0.001305 Loss_D_real: -0.013042 Loss_D_fake 0.009379
[987/5000][215/535][101731] Loss_D: -0.022403 Loss_G: -0.001871 Loss_D_real: -0.014920 Loss_D_fake 0.007483
[987/5000][220/535][101732] Loss_D: -0.023419 Loss_G: 0.012440 Loss_D_real: -0.022956 Loss_D_fake 0.000463
[987/5000][225/535][101733] Loss_D: -0.022102 Loss_G: 0.018916 Loss_D_real: -0.024177 Loss_D_fake -0.002075
[987/5000][230/535][101734] Loss_D: -0.023149 Loss_G: -0.004064 Loss_D_real: -0.009188 Loss_D_fake 0.013961
[987/5000][235/535][101735] Loss_D: -0.022535 Loss_G: 0.001634 Loss_D_real: -0.004348 Loss_D_fake 0.018188
[987/5000][240/535][101736] Loss_D: -0.023233 Loss_G: 0.002560 Loss_D_real: -0.014178 Loss_D_fake 0.009055
[987/5000][245/535][101737] Loss_D: -0.023378 Loss_G: 0.002246 Loss_D_real: -0.021510 Loss_D_fake 0.001868
[987/5000][250/535][101738] Loss_D: -0.023474 Loss_G: 0.010082 Loss_D_real: -0.021394 Loss_D_fake 0.002080
[987/5000][255/535][101739] Loss_D: -0.022999 Loss_G: 0.021545 Loss_D_real: -0.029164 Loss_D_fake -0.006165
[987/5000][260/535][101740] Loss_D: -0.023096 Loss_G: 0.012808 Loss_D_real: -0.025010 Loss_D_fake -0.001914
[987/5000][265/535][101741] Loss_D: -0.023753 Loss_G: 0.013862 Loss_D_real: -0.029934 Loss_D_fake -0.006181
[987/5000][270/535][101742] Loss_D: -0.022580 Loss_G: -0.001978 Loss_D_real: -0.025074 Loss_D_fake -0.002494
[987/5000][275/535][101743] Loss_D: -0.022378 Loss_G: 0.026790 Loss_D_real: -0.037589 Loss_D_fake -0.015211
[987/5000][280/535][101744] Loss_D: -0.023870 Loss_G: 0.003469 Loss_D_real: -0.013548 Loss_D_fake 0.010322
[987/5000][285/535][101745] Loss_D: -0.022192 Loss_G: 0.005746 Loss_D_real: -0.019516 Loss_D_fake 0.002677
[987/5000][290/535][101746] Loss_D: -0.023518 Loss_G: 0.004147 Loss_D_real: -0.029402 Loss_D_fake -0.005884
[987/5000][295/535][101747] Loss_D: -0.023337 Loss_G: -0.001023 Loss_D_real: -0.020334 Loss_D_fake 0.003003
[987/5000][300/535][101748] Loss_D: -0.022135 Loss_G: -0.004931 Loss_D_real: -0.009579 Loss_D_fake 0.012557
[987/5000][305/535][101749] Loss_D: -0.023775 Loss_G: 0.023362 Loss_D_real: -0.033481 Loss_D_fake -0.009706
[987/5000][310/535][101750] Loss_D: -0.023111 Loss_G: -0.001700 Loss_D_real: -0.020885 Loss_D_fake 0.002226
[987/5000][315/535][101751] Loss_D: -0.024071 Loss_G: 0.006481 Loss_D_real: -0.021284 Loss_D_fake 0.002787
[987/5000][320/535][101752] Loss_D: -0.025574 Loss_G: 0.013798 Loss_D_real: -0.017226 Loss_D_fake 0.008348
[987/5000][325/535][101753] Loss_D: -0.023535 Loss_G: 0.010282 Loss_D_real: -0.007343 Loss_D_fake 0.016192
[987/5000][330/535][101754] Loss_D: -0.024631 Loss_G: 0.007796 Loss_D_real: -0.028478 Loss_D_fake -0.003847
[987/5000][335/535][101755] Loss_D: -0.021745 Loss_G: 0.022127 Loss_D_real: -0.026689 Loss_D_fake -0.004944
[987/5000][340/535][101756] Loss_D: -0.022929 Loss_G: 0.003900 Loss_D_real: -0.018024 Loss_D_fake 0.004905
[987/5000][345/535][101757] Loss_D: -0.023964 Loss_G: 0.011047 Loss_D_real: -0.020645 Loss_D_fake 0.003319
[987/5000][350/535][101758] Loss_D: -0.022231 Loss_G: -0.005624 Loss_D_real: -0.003195 Loss_D_fake 0.019036
[987/5000][355/535][101759] Loss_D: -0.022708 Loss_G: 0.015245 Loss_D_real: -0.036750 Loss_D_fake -0.014042
[987/5000][360/535][101760] Loss_D: -0.022231 Loss_G: -0.010082 Loss_D_real: -0.016052 Loss_D_fake 0.006179
[987/5000][365/535][101761] Loss_D: -0.023038 Loss_G: 0.004039 Loss_D_real: -0.028534 Loss_D_fake -0.005496
[987/5000][370/535][101762] Loss_D: -0.023228 Loss_G: -0.001752 Loss_D_real: -0.014088 Loss_D_fake 0.009139
[987/5000][375/535][101763] Loss_D: -0.022111 Loss_G: 0.018328 Loss_D_real: -0.023938 Loss_D_fake -0.001827
[987/5000][380/535][101764] Loss_D: -0.022502 Loss_G: -0.001103 Loss_D_real: -0.007028 Loss_D_fake 0.015474
[987/5000][385/535][101765] Loss_D: -0.021430 Loss_G: 0.022068 Loss_D_real: -0.028588 Loss_D_fake -0.007158
[987/5000][390/535][101766] Loss_D: -0.021741 Loss_G: 0.016796 Loss_D_real: -0.030113 Loss_D_fake -0.008371
[987/5000][395/535][101767] Loss_D: -0.022104 Loss_G: 0.011663 Loss_D_real: -0.026633 Loss_D_fake -0.004529
[987/5000][400/535][101768] Loss_D: -0.021186 Loss_G: 0.005392 Loss_D_real: -0.025305 Loss_D_fake -0.004119
[987/5000][405/535][101769] Loss_D: -0.024943 Loss_G: 0.013093 Loss_D_real: -0.016235 Loss_D_fake 0.008708
[987/5000][410/535][101770] Loss_D: -0.022422 Loss_G: 0.003648 Loss_D_real: -0.010544 Loss_D_fake 0.011877
[987/5000][415/535][101771] Loss_D: -0.023183 Loss_G: 0.022558 Loss_D_real: -0.027221 Loss_D_fake -0.004038
[987/5000][420/535][101772] Loss_D: -0.022077 Loss_G: 0.014102 Loss_D_real: -0.019630 Loss_D_fake 0.002448
[987/5000][425/535][101773] Loss_D: -0.023277 Loss_G: 0.008089 Loss_D_real: -0.016593 Loss_D_fake 0.006685
[987/5000][430/535][101774] Loss_D: -0.021040 Loss_G: 0.025737 Loss_D_real: -0.029125 Loss_D_fake -0.008085
[987/5000][435/535][101775] Loss_D: -0.024165 Loss_G: 0.010081 Loss_D_real: -0.024624 Loss_D_fake -0.000460
[987/5000][440/535][101776] Loss_D: -0.023477 Loss_G: 0.014125 Loss_D_real: -0.027991 Loss_D_fake -0.004514
[987/5000][445/535][101777] Loss_D: -0.025765 Loss_G: 0.013522 Loss_D_real: -0.030101 Loss_D_fake -0.004335
[987/5000][450/535][101778] Loss_D: -0.023187 Loss_G: -0.004768 Loss_D_real: -0.014488 Loss_D_fake 0.008699
[987/5000][455/535][101779] Loss_D: -0.023168 Loss_G: -0.000832 Loss_D_real: -0.012943 Loss_D_fake 0.010225
[987/5000][460/535][101780] Loss_D: -0.023949 Loss_G: 0.000043 Loss_D_real: -0.017840 Loss_D_fake 0.006109
[987/5000][465/535][101781] Loss_D: -0.023915 Loss_G: -0.000808 Loss_D_real: -0.020881 Loss_D_fake 0.003034
[987/5000][470/535][101782] Loss_D: -0.024588 Loss_G: 0.005983 Loss_D_real: -0.014624 Loss_D_fake 0.009964
[987/5000][475/535][101783] Loss_D: -0.023332 Loss_G: 0.009816 Loss_D_real: -0.025093 Loss_D_fake -0.001762
[987/5000][480/535][101784] Loss_D: -0.023040 Loss_G: 0.005106 Loss_D_real: -0.031187 Loss_D_fake -0.008147
[987/5000][485/535][101785] Loss_D: -0.023637 Loss_G: 0.004671 Loss_D_real: -0.017153 Loss_D_fake 0.006484
[987/5000][490/535][101786] Loss_D: -0.023242 Loss_G: 0.000787 Loss_D_real: -0.013423 Loss_D_fake 0.009819
[987/5000][495/535][101787] Loss_D: -0.023591 Loss_G: 0.021010 Loss_D_real: -0.013585 Loss_D_fake 0.010006
[987/5000][500/535][101788] Loss_D: -0.021927 Loss_G: 0.006190 Loss_D_real: -0.019974 Loss_D_fake 0.001953
[987/5000][505/535][101789] Loss_D: -0.021938 Loss_G: 0.000848 Loss_D_real: -0.010570 Loss_D_fake 0.011368
[987/5000][510/535][101790] Loss_D: -0.022384 Loss_G: 0.021613 Loss_D_real: -0.025877 Loss_D_fake -0.003493
[987/5000][515/535][101791] Loss_D: -0.021821 Loss_G: 0.017767 Loss_D_real: -0.030406 Loss_D_fake -0.008585
[987/5000][520/535][101792] Loss_D: -0.022011 Loss_G: 0.027339 Loss_D_real: -0.034187 Loss_D_fake -0.012176
[987/5000][525/535][101793] Loss_D: -0.021282 Loss_G: 0.023767 Loss_D_real: -0.033630 Loss_D_fake -0.012349
[987/5000][530/535][101794] Loss_D: -0.024441 Loss_G: 0.016661 Loss_D_real: -0.024401 Loss_D_fake 0.000040
[987/5000][535/535][101795] Loss_D: -0.022694 Loss_G: -0.032041 Loss_D_real: -0.009854 Loss_D_fake 0.012840
[988/5000][5/535][101796] Loss_D: -0.022586 Loss_G: -0.008189 Loss_D_real: -0.015908 Loss_D_fake 0.006679
[988/5000][10/535][101797] Loss_D: -0.022051 Loss_G: -0.005536 Loss_D_real: -0.022341 Loss_D_fake -0.000289
[988/5000][15/535][101798] Loss_D: -0.022973 Loss_G: 0.013985 Loss_D_real: -0.020269 Loss_D_fake 0.002704
[988/5000][20/535][101799] Loss_D: -0.022152 Loss_G: -0.000434 Loss_D_real: -0.013876 Loss_D_fake 0.008276
[988/5000][25/535][101800] Loss_D: -0.021987 Loss_G: 0.002895 Loss_D_real: -0.012279 Loss_D_fake 0.009708
[988/5000][30/535][101801] Loss_D: -0.022310 Loss_G: 0.024085 Loss_D_real: -0.030501 Loss_D_fake -0.008191
[988/5000][35/535][101802] Loss_D: -0.023141 Loss_G: 0.009578 Loss_D_real: -0.018504 Loss_D_fake 0.004637
[988/5000][40/535][101803] Loss_D: -0.023039 Loss_G: 0.000334 Loss_D_real: -0.014755 Loss_D_fake 0.008284
[988/5000][45/535][101804] Loss_D: -0.022422 Loss_G: 0.018559 Loss_D_real: -0.020340 Loss_D_fake 0.002083
[988/5000][50/535][101805] Loss_D: -0.025046 Loss_G: 0.018579 Loss_D_real: -0.029023 Loss_D_fake -0.003977
[988/5000][55/535][101806] Loss_D: -0.022541 Loss_G: 0.012393 Loss_D_real: -0.014639 Loss_D_fake 0.007902
[988/5000][60/535][101807] Loss_D: -0.021774 Loss_G: 0.019347 Loss_D_real: -0.024541 Loss_D_fake -0.002767
[988/5000][65/535][101808] Loss_D: -0.021827 Loss_G: -0.004642 Loss_D_real: -0.008714 Loss_D_fake 0.013113
[988/5000][70/535][101809] Loss_D: -0.023416 Loss_G: 0.009649 Loss_D_real: -0.018270 Loss_D_fake 0.005146
[988/5000][75/535][101810] Loss_D: -0.022546 Loss_G: 0.023576 Loss_D_real: -0.032306 Loss_D_fake -0.009760
[988/5000][80/535][101811] Loss_D: -0.023069 Loss_G: -0.001550 Loss_D_real: -0.018436 Loss_D_fake 0.004633
[988/5000][85/535][101812] Loss_D: -0.022103 Loss_G: 0.002498 Loss_D_real: -0.015709 Loss_D_fake 0.006394
[988/5000][90/535][101813] Loss_D: -0.022083 Loss_G: 0.017368 Loss_D_real: -0.031534 Loss_D_fake -0.009451
[988/5000][95/535][101814] Loss_D: -0.022173 Loss_G: 0.007852 Loss_D_real: -0.010079 Loss_D_fake 0.012094
[988/5000][100/535][101815] Loss_D: -0.022457 Loss_G: 0.021673 Loss_D_real: -0.022660 Loss_D_fake -0.000203
[988/5000][105/535][101816] Loss_D: -0.021404 Loss_G: 0.012666 Loss_D_real: -0.024138 Loss_D_fake -0.002734
[988/5000][110/535][101817] Loss_D: -0.023026 Loss_G: -0.008754 Loss_D_real: -0.010223 Loss_D_fake 0.012803
[988/5000][115/535][101818] Loss_D: -0.023644 Loss_G: 0.001578 Loss_D_real: -0.020147 Loss_D_fake 0.003497
[988/5000][120/535][101819] Loss_D: -0.020659 Loss_G: -0.010569 Loss_D_real: -0.014753 Loss_D_fake 0.005906
[988/5000][125/535][101820] Loss_D: -0.023924 Loss_G: 0.008230 Loss_D_real: -0.017017 Loss_D_fake 0.006907
[988/5000][130/535][101821] Loss_D: -0.023816 Loss_G: 0.017407 Loss_D_real: -0.022956 Loss_D_fake 0.000860
[988/5000][135/535][101822] Loss_D: -0.023818 Loss_G: 0.018830 Loss_D_real: -0.025746 Loss_D_fake -0.001928
[988/5000][140/535][101823] Loss_D: -0.023660 Loss_G: 0.014030 Loss_D_real: -0.030171 Loss_D_fake -0.006511
[988/5000][145/535][101824] Loss_D: -0.022779 Loss_G: 0.002841 Loss_D_real: -0.015081 Loss_D_fake 0.007698
[988/5000][150/535][101825] Loss_D: -0.022418 Loss_G: 0.019433 Loss_D_real: -0.024973 Loss_D_fake -0.002555
[988/5000][155/535][101826] Loss_D: -0.022652 Loss_G: 0.000935 Loss_D_real: -0.016565 Loss_D_fake 0.006087
[988/5000][160/535][101827] Loss_D: -0.022377 Loss_G: 0.000608 Loss_D_real: -0.006791 Loss_D_fake 0.015585
[988/5000][165/535][101828] Loss_D: -0.022064 Loss_G: -0.002851 Loss_D_real: -0.014385 Loss_D_fake 0.007679
[988/5000][170/535][101829] Loss_D: -0.022879 Loss_G: 0.011343 Loss_D_real: -0.015462 Loss_D_fake 0.007417
[988/5000][175/535][101830] Loss_D: -0.022369 Loss_G: 0.008967 Loss_D_real: -0.021054 Loss_D_fake 0.001315
[988/5000][180/535][101831] Loss_D: -0.022727 Loss_G: -0.005065 Loss_D_real: -0.021975 Loss_D_fake 0.000752
[988/5000][185/535][101832] Loss_D: -0.022331 Loss_G: -0.002625 Loss_D_real: -0.013979 Loss_D_fake 0.008352
[988/5000][190/535][101833] Loss_D: -0.022174 Loss_G: 0.015843 Loss_D_real: -0.016592 Loss_D_fake 0.005582
[988/5000][195/535][101834] Loss_D: -0.023094 Loss_G: 0.009597 Loss_D_real: -0.026776 Loss_D_fake -0.003682
[988/5000][200/535][101835] Loss_D: -0.023310 Loss_G: 0.011349 Loss_D_real: -0.023998 Loss_D_fake -0.000687
[988/5000][205/535][101836] Loss_D: -0.021998 Loss_G: -0.001253 Loss_D_real: -0.017230 Loss_D_fake 0.004768
[988/5000][210/535][101837] Loss_D: -0.023338 Loss_G: 0.015043 Loss_D_real: -0.020823 Loss_D_fake 0.002515
[988/5000][215/535][101838] Loss_D: -0.022182 Loss_G: 0.006624 Loss_D_real: -0.012532 Loss_D_fake 0.009650
[988/5000][220/535][101839] Loss_D: -0.024307 Loss_G: 0.018441 Loss_D_real: -0.023008 Loss_D_fake 0.001299
[988/5000][225/535][101840] Loss_D: -0.023047 Loss_G: -0.003466 Loss_D_real: -0.013443 Loss_D_fake 0.009604
[988/5000][230/535][101841] Loss_D: -0.022996 Loss_G: 0.003345 Loss_D_real: -0.011019 Loss_D_fake 0.011978
[988/5000][235/535][101842] Loss_D: -0.021365 Loss_G: 0.017552 Loss_D_real: -0.025433 Loss_D_fake -0.004068
[988/5000][240/535][101843] Loss_D: -0.021953 Loss_G: -0.005826 Loss_D_real: -0.006007 Loss_D_fake 0.015946
[988/5000][245/535][101844] Loss_D: -0.023116 Loss_G: 0.002629 Loss_D_real: -0.021582 Loss_D_fake 0.001534
[988/5000][250/535][101845] Loss_D: -0.022925 Loss_G: 0.007970 Loss_D_real: -0.018786 Loss_D_fake 0.004139
[988/5000][255/535][101846] Loss_D: -0.023382 Loss_G: 0.001332 Loss_D_real: -0.015147 Loss_D_fake 0.008236
[988/5000][260/535][101847] Loss_D: -0.022386 Loss_G: -0.017510 Loss_D_real: -0.004863 Loss_D_fake 0.017523
[988/5000][265/535][101848] Loss_D: -0.022281 Loss_G: -0.003329 Loss_D_real: -0.005043 Loss_D_fake 0.017238
[988/5000][270/535][101849] Loss_D: -0.023354 Loss_G: 0.005893 Loss_D_real: -0.022404 Loss_D_fake 0.000949
[988/5000][275/535][101850] Loss_D: -0.022594 Loss_G: 0.020742 Loss_D_real: -0.028578 Loss_D_fake -0.005984
[988/5000][280/535][101851] Loss_D: -0.024830 Loss_G: 0.007019 Loss_D_real: -0.012273 Loss_D_fake 0.012557
[988/5000][285/535][101852] Loss_D: -0.022637 Loss_G: 0.001350 Loss_D_real: -0.027757 Loss_D_fake -0.005120
[988/5000][290/535][101853] Loss_D: -0.024194 Loss_G: 0.009699 Loss_D_real: -0.024205 Loss_D_fake -0.000011
[988/5000][295/535][101854] Loss_D: -0.023364 Loss_G: -0.007011 Loss_D_real: -0.010423 Loss_D_fake 0.012941
[988/5000][300/535][101855] Loss_D: -0.022538 Loss_G: 0.013710 Loss_D_real: -0.020848 Loss_D_fake 0.001690
[988/5000][305/535][101856] Loss_D: -0.022584 Loss_G: -0.008528 Loss_D_real: -0.002791 Loss_D_fake 0.019793
[988/5000][310/535][101857] Loss_D: -0.021649 Loss_G: 0.020036 Loss_D_real: -0.036346 Loss_D_fake -0.014697
[988/5000][315/535][101858] Loss_D: -0.024323 Loss_G: 0.000552 Loss_D_real: -0.012800 Loss_D_fake 0.011523
[988/5000][320/535][101859] Loss_D: -0.024282 Loss_G: 0.015533 Loss_D_real: -0.013757 Loss_D_fake 0.010525
[988/5000][325/535][101860] Loss_D: -0.022513 Loss_G: 0.001257 Loss_D_real: -0.015166 Loss_D_fake 0.007347
[988/5000][330/535][101861] Loss_D: -0.023709 Loss_G: 0.008830 Loss_D_real: -0.024559 Loss_D_fake -0.000850
[988/5000][335/535][101862] Loss_D: -0.021588 Loss_G: 0.009929 Loss_D_real: -0.025448 Loss_D_fake -0.003859
[988/5000][340/535][101863] Loss_D: -0.022603 Loss_G: 0.016427 Loss_D_real: -0.034731 Loss_D_fake -0.012128
[988/5000][345/535][101864] Loss_D: -0.022423 Loss_G: -0.007867 Loss_D_real: -0.010248 Loss_D_fake 0.012175
[988/5000][350/535][101865] Loss_D: -0.021781 Loss_G: 0.003899 Loss_D_real: -0.018497 Loss_D_fake 0.003284
[988/5000][355/535][101866] Loss_D: -0.023015 Loss_G: -0.002375 Loss_D_real: -0.003927 Loss_D_fake 0.019088
[988/5000][360/535][101867] Loss_D: -0.021557 Loss_G: 0.000262 Loss_D_real: -0.005355 Loss_D_fake 0.016202
[988/5000][365/535][101868] Loss_D: -0.022216 Loss_G: 0.006531 Loss_D_real: -0.015793 Loss_D_fake 0.006423
[988/5000][370/535][101869] Loss_D: -0.020934 Loss_G: -0.007228 Loss_D_real: -0.005097 Loss_D_fake 0.015837
[988/5000][375/535][101870] Loss_D: -0.021697 Loss_G: 0.004326 Loss_D_real: -0.021354 Loss_D_fake 0.000343
[988/5000][380/535][101871] Loss_D: -0.020632 Loss_G: 0.002474 Loss_D_real: -0.019024 Loss_D_fake 0.001607
[988/5000][385/535][101872] Loss_D: -0.023227 Loss_G: 0.021481 Loss_D_real: -0.026851 Loss_D_fake -0.003624
[988/5000][390/535][101873] Loss_D: -0.022117 Loss_G: 0.009341 Loss_D_real: -0.018554 Loss_D_fake 0.003563
[988/5000][395/535][101874] Loss_D: -0.024231 Loss_G: 0.000883 Loss_D_real: -0.018912 Loss_D_fake 0.005318
[988/5000][400/535][101875] Loss_D: -0.023153 Loss_G: -0.011632 Loss_D_real: -0.009282 Loss_D_fake 0.013871
[988/5000][405/535][101876] Loss_D: -0.021140 Loss_G: 0.027525 Loss_D_real: -0.022849 Loss_D_fake -0.001709
[988/5000][410/535][101877] Loss_D: -0.022552 Loss_G: -0.011078 Loss_D_real: -0.003977 Loss_D_fake 0.018574
[988/5000][415/535][101878] Loss_D: -0.023456 Loss_G: 0.015370 Loss_D_real: -0.022718 Loss_D_fake 0.000738
[988/5000][420/535][101879] Loss_D: -0.022304 Loss_G: 0.012895 Loss_D_real: -0.015896 Loss_D_fake 0.006408
[988/5000][425/535][101880] Loss_D: -0.021975 Loss_G: -0.006364 Loss_D_real: -0.013318 Loss_D_fake 0.008657
[988/5000][430/535][101881] Loss_D: -0.022096 Loss_G: -0.012866 Loss_D_real: -0.004829 Loss_D_fake 0.017267
[988/5000][435/535][101882] Loss_D: -0.022245 Loss_G: 0.000277 Loss_D_real: -0.010524 Loss_D_fake 0.011720
[988/5000][440/535][101883] Loss_D: -0.022551 Loss_G: 0.017843 Loss_D_real: -0.029315 Loss_D_fake -0.006764
[988/5000][445/535][101884] Loss_D: -0.021822 Loss_G: -0.011790 Loss_D_real: -0.010913 Loss_D_fake 0.010908
[988/5000][450/535][101885] Loss_D: -0.022600 Loss_G: 0.000053 Loss_D_real: -0.013167 Loss_D_fake 0.009433
[988/5000][455/535][101886] Loss_D: -0.020989 Loss_G: 0.003728 Loss_D_real: -0.009490 Loss_D_fake 0.011499
[988/5000][460/535][101887] Loss_D: -0.021589 Loss_G: 0.026284 Loss_D_real: -0.032838 Loss_D_fake -0.011249
[988/5000][465/535][101888] Loss_D: -0.021879 Loss_G: -0.005918 Loss_D_real: -0.013534 Loss_D_fake 0.008345
[988/5000][470/535][101889] Loss_D: -0.022941 Loss_G: -0.002404 Loss_D_real: -0.008854 Loss_D_fake 0.014088
[988/5000][475/535][101890] Loss_D: -0.024985 Loss_G: 0.018449 Loss_D_real: -0.025137 Loss_D_fake -0.000152
[988/5000][480/535][101891] Loss_D: -0.023601 Loss_G: -0.000135 Loss_D_real: -0.018792 Loss_D_fake 0.004809
[988/5000][485/535][101892] Loss_D: -0.023960 Loss_G: 0.024195 Loss_D_real: -0.032084 Loss_D_fake -0.008124
[988/5000][490/535][101893] Loss_D: -0.023043 Loss_G: -0.002496 Loss_D_real: -0.006573 Loss_D_fake 0.016470
[988/5000][495/535][101894] Loss_D: -0.022406 Loss_G: 0.004418 Loss_D_real: -0.020380 Loss_D_fake 0.002026
[988/5000][500/535][101895] Loss_D: -0.023551 Loss_G: 0.005856 Loss_D_real: -0.019990 Loss_D_fake 0.003561
[988/5000][505/535][101896] Loss_D: -0.024151 Loss_G: 0.025843 Loss_D_real: -0.032806 Loss_D_fake -0.008654
[988/5000][510/535][101897] Loss_D: -0.022186 Loss_G: 0.005801 Loss_D_real: -0.021626 Loss_D_fake 0.000560
[988/5000][515/535][101898] Loss_D: -0.023328 Loss_G: -0.005573 Loss_D_real: -0.020645 Loss_D_fake 0.002683
[988/5000][520/535][101899] Loss_D: -0.022903 Loss_G: 0.023438 Loss_D_real: -0.038773 Loss_D_fake -0.015869
[988/5000][525/535][101900] Loss_D: -0.025181 Loss_G: -0.006879 Loss_D_real: -0.015377 Loss_D_fake 0.009804
[988/5000][530/535][101901] Loss_D: -0.023250 Loss_G: 0.002245 Loss_D_real: -0.014363 Loss_D_fake 0.008887
[988/5000][535/535][101902] Loss_D: -0.024765 Loss_G: 0.005373 Loss_D_real: -0.020012 Loss_D_fake 0.004754
[989/5000][5/535][101903] Loss_D: -0.021394 Loss_G: 0.012084 Loss_D_real: -0.027898 Loss_D_fake -0.006505
[989/5000][10/535][101904] Loss_D: -0.023701 Loss_G: 0.012090 Loss_D_real: -0.020111 Loss_D_fake 0.003590
[989/5000][15/535][101905] Loss_D: -0.020724 Loss_G: 0.011290 Loss_D_real: -0.024919 Loss_D_fake -0.004195
[989/5000][20/535][101906] Loss_D: -0.022654 Loss_G: 0.010131 Loss_D_real: -0.023572 Loss_D_fake -0.000918
[989/5000][25/535][101907] Loss_D: -0.022170 Loss_G: 0.019904 Loss_D_real: -0.037439 Loss_D_fake -0.015269
[989/5000][30/535][101908] Loss_D: -0.022864 Loss_G: 0.007850 Loss_D_real: -0.018185 Loss_D_fake 0.004679
[989/5000][35/535][101909] Loss_D: -0.024450 Loss_G: 0.011617 Loss_D_real: -0.020912 Loss_D_fake 0.003538
[989/5000][40/535][101910] Loss_D: -0.024578 Loss_G: 0.013960 Loss_D_real: -0.021613 Loss_D_fake 0.002965
[989/5000][45/535][101911] Loss_D: -0.024863 Loss_G: 0.024214 Loss_D_real: -0.029763 Loss_D_fake -0.004899
[989/5000][50/535][101912] Loss_D: -0.023313 Loss_G: 0.011390 Loss_D_real: -0.020815 Loss_D_fake 0.002498
[989/5000][55/535][101913] Loss_D: -0.023687 Loss_G: 0.012337 Loss_D_real: -0.026497 Loss_D_fake -0.002810
[989/5000][60/535][101914] Loss_D: -0.023348 Loss_G: 0.016614 Loss_D_real: -0.017359 Loss_D_fake 0.005989
[989/5000][65/535][101915] Loss_D: -0.022395 Loss_G: 0.015574 Loss_D_real: -0.029167 Loss_D_fake -0.006772
[989/5000][70/535][101916] Loss_D: -0.022747 Loss_G: -0.001423 Loss_D_real: -0.010281 Loss_D_fake 0.012466
[989/5000][75/535][101917] Loss_D: -0.023919 Loss_G: -0.001336 Loss_D_real: -0.022256 Loss_D_fake 0.001663
[989/5000][80/535][101918] Loss_D: -0.023228 Loss_G: 0.001022 Loss_D_real: -0.018267 Loss_D_fake 0.004961
[989/5000][85/535][101919] Loss_D: -0.022368 Loss_G: 0.000140 Loss_D_real: -0.015231 Loss_D_fake 0.007136
[989/5000][90/535][101920] Loss_D: -0.022072 Loss_G: 0.007109 Loss_D_real: -0.029516 Loss_D_fake -0.007445
[989/5000][95/535][101921] Loss_D: -0.021989 Loss_G: -0.000207 Loss_D_real: -0.015132 Loss_D_fake 0.006857
[989/5000][100/535][101922] Loss_D: -0.023267 Loss_G: 0.002226 Loss_D_real: -0.019213 Loss_D_fake 0.004054
[989/5000][105/535][101923] Loss_D: -0.021997 Loss_G: 0.005715 Loss_D_real: -0.011191 Loss_D_fake 0.010805
[989/5000][110/535][101924] Loss_D: -0.023531 Loss_G: 0.009574 Loss_D_real: -0.016443 Loss_D_fake 0.007089
[989/5000][115/535][101925] Loss_D: -0.023418 Loss_G: 0.017012 Loss_D_real: -0.026613 Loss_D_fake -0.003195
[989/5000][120/535][101926] Loss_D: -0.021459 Loss_G: 0.017466 Loss_D_real: -0.023826 Loss_D_fake -0.002367
[989/5000][125/535][101927] Loss_D: -0.023740 Loss_G: 0.016461 Loss_D_real: -0.019256 Loss_D_fake 0.004484
[989/5000][130/535][101928] Loss_D: -0.023629 Loss_G: -0.008225 Loss_D_real: -0.005534 Loss_D_fake 0.018095
[989/5000][135/535][101929] Loss_D: -0.024428 Loss_G: 0.004363 Loss_D_real: -0.020184 Loss_D_fake 0.004245
[989/5000][140/535][101930] Loss_D: -0.023500 Loss_G: 0.011799 Loss_D_real: -0.015129 Loss_D_fake 0.008371
[989/5000][145/535][101931] Loss_D: -0.022356 Loss_G: 0.017279 Loss_D_real: -0.017308 Loss_D_fake 0.005047
[989/5000][150/535][101932] Loss_D: -0.022558 Loss_G: 0.006765 Loss_D_real: -0.010614 Loss_D_fake 0.011944
[989/5000][155/535][101933] Loss_D: -0.022141 Loss_G: 0.011396 Loss_D_real: -0.020930 Loss_D_fake 0.001211
[989/5000][160/535][101934] Loss_D: -0.025052 Loss_G: -0.001318 Loss_D_real: -0.023088 Loss_D_fake 0.001964
[989/5000][165/535][101935] Loss_D: -0.022340 Loss_G: 0.026918 Loss_D_real: -0.030890 Loss_D_fake -0.008550
[989/5000][170/535][101936] Loss_D: -0.022151 Loss_G: -0.013134 Loss_D_real: 0.001821 Loss_D_fake 0.023972
[989/5000][175/535][101937] Loss_D: -0.021789 Loss_G: 0.005573 Loss_D_real: -0.022965 Loss_D_fake -0.001176
[989/5000][180/535][101938] Loss_D: -0.023394 Loss_G: 0.012866 Loss_D_real: -0.020445 Loss_D_fake 0.002949
[989/5000][185/535][101939] Loss_D: -0.024126 Loss_G: 0.010057 Loss_D_real: -0.021836 Loss_D_fake 0.002291
[989/5000][190/535][101940] Loss_D: -0.023087 Loss_G: 0.018633 Loss_D_real: -0.019689 Loss_D_fake 0.003397
[989/5000][195/535][101941] Loss_D: -0.023886 Loss_G: 0.011484 Loss_D_real: -0.025958 Loss_D_fake -0.002072
[989/5000][200/535][101942] Loss_D: -0.023240 Loss_G: 0.008232 Loss_D_real: -0.023570 Loss_D_fake -0.000330
[989/5000][205/535][101943] Loss_D: -0.022365 Loss_G: 0.020877 Loss_D_real: -0.041285 Loss_D_fake -0.018920
[989/5000][210/535][101944] Loss_D: -0.025680 Loss_G: -0.001436 Loss_D_real: -0.013005 Loss_D_fake 0.012675
[989/5000][215/535][101945] Loss_D: -0.023254 Loss_G: 0.003249 Loss_D_real: -0.017834 Loss_D_fake 0.005420
[989/5000][220/535][101946] Loss_D: -0.022121 Loss_G: 0.027456 Loss_D_real: -0.031912 Loss_D_fake -0.009790
[989/5000][225/535][101947] Loss_D: -0.023712 Loss_G: 0.013048 Loss_D_real: -0.009922 Loss_D_fake 0.013790
[989/5000][230/535][101948] Loss_D: -0.021703 Loss_G: 0.006509 Loss_D_real: -0.027948 Loss_D_fake -0.006245
[989/5000][235/535][101949] Loss_D: -0.022523 Loss_G: -0.007999 Loss_D_real: -0.002739 Loss_D_fake 0.019784
[989/5000][240/535][101950] Loss_D: -0.021375 Loss_G: 0.020485 Loss_D_real: -0.033684 Loss_D_fake -0.012309
[989/5000][245/535][101951] Loss_D: -0.023285 Loss_G: 0.001808 Loss_D_real: -0.017235 Loss_D_fake 0.006050
[989/5000][250/535][101952] Loss_D: -0.023471 Loss_G: 0.004093 Loss_D_real: -0.023305 Loss_D_fake 0.000166
[989/5000][255/535][101953] Loss_D: -0.024234 Loss_G: 0.018094 Loss_D_real: -0.024558 Loss_D_fake -0.000324
[989/5000][260/535][101954] Loss_D: -0.021442 Loss_G: 0.022135 Loss_D_real: -0.025691 Loss_D_fake -0.004249
[989/5000][265/535][101955] Loss_D: -0.023975 Loss_G: 0.012900 Loss_D_real: -0.021991 Loss_D_fake 0.001984
[989/5000][270/535][101956] Loss_D: -0.022246 Loss_G: 0.012008 Loss_D_real: -0.016794 Loss_D_fake 0.005452
[989/5000][275/535][101957] Loss_D: -0.021847 Loss_G: 0.003678 Loss_D_real: -0.014742 Loss_D_fake 0.007105
[989/5000][280/535][101958] Loss_D: -0.021839 Loss_G: 0.029203 Loss_D_real: -0.030719 Loss_D_fake -0.008880
[989/5000][285/535][101959] Loss_D: -0.022052 Loss_G: -0.026963 Loss_D_real: -0.010451 Loss_D_fake 0.011601
[989/5000][290/535][101960] Loss_D: -0.022889 Loss_G: 0.012751 Loss_D_real: -0.016984 Loss_D_fake 0.005905
[989/5000][295/535][101961] Loss_D: -0.023274 Loss_G: 0.015133 Loss_D_real: -0.022606 Loss_D_fake 0.000668
[989/5000][300/535][101962] Loss_D: -0.022806 Loss_G: -0.006120 Loss_D_real: -0.007465 Loss_D_fake 0.015342
[989/5000][305/535][101963] Loss_D: -0.022415 Loss_G: 0.015127 Loss_D_real: -0.036039 Loss_D_fake -0.013624
[989/5000][310/535][101964] Loss_D: -0.022278 Loss_G: -0.003340 Loss_D_real: -0.012210 Loss_D_fake 0.010067
[989/5000][315/535][101965] Loss_D: -0.022819 Loss_G: 0.010765 Loss_D_real: -0.022725 Loss_D_fake 0.000095
[989/5000][320/535][101966] Loss_D: -0.024879 Loss_G: 0.000816 Loss_D_real: -0.013217 Loss_D_fake 0.011662
[989/5000][325/535][101967] Loss_D: -0.023837 Loss_G: 0.004689 Loss_D_real: -0.011286 Loss_D_fake 0.012551
[989/5000][330/535][101968] Loss_D: -0.023271 Loss_G: 0.020085 Loss_D_real: -0.026301 Loss_D_fake -0.003030
[989/5000][335/535][101969] Loss_D: -0.023004 Loss_G: 0.012000 Loss_D_real: -0.027708 Loss_D_fake -0.004704
[989/5000][340/535][101970] Loss_D: -0.023329 Loss_G: 0.005398 Loss_D_real: -0.018080 Loss_D_fake 0.005250
[989/5000][345/535][101971] Loss_D: -0.024321 Loss_G: 0.010762 Loss_D_real: -0.017318 Loss_D_fake 0.007003
[989/5000][350/535][101972] Loss_D: -0.023285 Loss_G: 0.005901 Loss_D_real: -0.018456 Loss_D_fake 0.004829
[989/5000][355/535][101973] Loss_D: -0.021170 Loss_G: 0.005155 Loss_D_real: -0.024941 Loss_D_fake -0.003771
[989/5000][360/535][101974] Loss_D: -0.022941 Loss_G: 0.006663 Loss_D_real: -0.020422 Loss_D_fake 0.002519
[989/5000][365/535][101975] Loss_D: -0.022011 Loss_G: 0.000573 Loss_D_real: -0.019045 Loss_D_fake 0.002966
[989/5000][370/535][101976] Loss_D: -0.020099 Loss_G: -0.021176 Loss_D_real: -0.001329 Loss_D_fake 0.018770
[989/5000][375/535][101977] Loss_D: -0.022210 Loss_G: 0.002612 Loss_D_real: -0.011825 Loss_D_fake 0.010386
[989/5000][380/535][101978] Loss_D: -0.022239 Loss_G: 0.000969 Loss_D_real: -0.018194 Loss_D_fake 0.004045
[989/5000][385/535][101979] Loss_D: -0.021201 Loss_G: -0.020930 Loss_D_real: -0.002627 Loss_D_fake 0.018574
[989/5000][390/535][101980] Loss_D: -0.022479 Loss_G: 0.007972 Loss_D_real: -0.019012 Loss_D_fake 0.003467
[989/5000][395/535][101981] Loss_D: -0.022435 Loss_G: 0.015967 Loss_D_real: -0.018040 Loss_D_fake 0.004395
[989/5000][400/535][101982] Loss_D: -0.022631 Loss_G: 0.021361 Loss_D_real: -0.023158 Loss_D_fake -0.000527
[989/5000][405/535][101983] Loss_D: -0.021733 Loss_G: -0.012130 Loss_D_real: -0.008066 Loss_D_fake 0.013668
[989/5000][410/535][101984] Loss_D: -0.021643 Loss_G: -0.004101 Loss_D_real: -0.017825 Loss_D_fake 0.003818
[989/5000][415/535][101985] Loss_D: -0.022824 Loss_G: 0.009369 Loss_D_real: -0.022216 Loss_D_fake 0.000608
[989/5000][420/535][101986] Loss_D: -0.022129 Loss_G: 0.005370 Loss_D_real: -0.027072 Loss_D_fake -0.004943
[989/5000][425/535][101987] Loss_D: -0.021940 Loss_G: 0.006045 Loss_D_real: -0.009161 Loss_D_fake 0.012779
[989/5000][430/535][101988] Loss_D: -0.023038 Loss_G: 0.015004 Loss_D_real: -0.024624 Loss_D_fake -0.001586
[989/5000][435/535][101989] Loss_D: -0.022494 Loss_G: 0.014552 Loss_D_real: -0.029849 Loss_D_fake -0.007355
[989/5000][440/535][101990] Loss_D: -0.022780 Loss_G: 0.013035 Loss_D_real: -0.019018 Loss_D_fake 0.003762
[989/5000][445/535][101991] Loss_D: -0.022170 Loss_G: 0.017084 Loss_D_real: -0.025564 Loss_D_fake -0.003394
[989/5000][450/535][101992] Loss_D: -0.022527 Loss_G: 0.002419 Loss_D_real: -0.015124 Loss_D_fake 0.007403
[989/5000][455/535][101993] Loss_D: -0.023162 Loss_G: 0.000513 Loss_D_real: -0.010676 Loss_D_fake 0.012486
[989/5000][460/535][101994] Loss_D: -0.022666 Loss_G: 0.011007 Loss_D_real: -0.031067 Loss_D_fake -0.008401
[989/5000][465/535][101995] Loss_D: -0.022234 Loss_G: 0.005668 Loss_D_real: -0.012302 Loss_D_fake 0.009932
[989/5000][470/535][101996] Loss_D: -0.022107 Loss_G: 0.022383 Loss_D_real: -0.030634 Loss_D_fake -0.008527
[989/5000][475/535][101997] Loss_D: -0.021762 Loss_G: 0.000334 Loss_D_real: -0.017310 Loss_D_fake 0.004452
[989/5000][480/535][101998] Loss_D: -0.023357 Loss_G: 0.004090 Loss_D_real: -0.005959 Loss_D_fake 0.017398
[989/5000][485/535][101999] Loss_D: -0.023027 Loss_G: -0.004523 Loss_D_real: -0.009398 Loss_D_fake 0.013630
[989/5000][490/535][102000] Loss_D: -0.022440 Loss_G: 0.029429 Loss_D_real: -0.036487 Loss_D_fake -0.014048
[989/5000][535/535][102001] Loss_D: -0.020975 Loss_G: -0.011150 Loss_D_real: -0.003327 Loss_D_fake 0.017647
[990/5000][5/535][102002] Loss_D: -0.024351 Loss_G: 0.029356 Loss_D_real: -0.028938 Loss_D_fake -0.004587
[990/5000][10/535][102003] Loss_D: -0.022173 Loss_G: 0.003821 Loss_D_real: -0.011990 Loss_D_fake 0.010183
[990/5000][15/535][102004] Loss_D: -0.021923 Loss_G: 0.000729 Loss_D_real: -0.025981 Loss_D_fake -0.004059
[990/5000][20/535][102005] Loss_D: -0.022755 Loss_G: 0.012064 Loss_D_real: -0.024816 Loss_D_fake -0.002062
[990/5000][25/535][102006] Loss_D: -0.021422 Loss_G: 0.015982 Loss_D_real: -0.028928 Loss_D_fake -0.007506
[990/5000][30/535][102007] Loss_D: -0.022960 Loss_G: -0.010436 Loss_D_real: 0.001680 Loss_D_fake 0.024639
[990/5000][35/535][102008] Loss_D: -0.022631 Loss_G: 0.013809 Loss_D_real: -0.012125 Loss_D_fake 0.010506
[990/5000][40/535][102009] Loss_D: -0.022812 Loss_G: 0.006121 Loss_D_real: -0.022630 Loss_D_fake 0.000182
[990/5000][45/535][102010] Loss_D: -0.023619 Loss_G: 0.006972 Loss_D_real: -0.023217 Loss_D_fake 0.000403
[990/5000][50/535][102011] Loss_D: -0.023054 Loss_G: 0.011056 Loss_D_real: -0.017810 Loss_D_fake 0.005244
[990/5000][55/535][102012] Loss_D: -0.023440 Loss_G: -0.003224 Loss_D_real: -0.004106 Loss_D_fake 0.019333
[990/5000][60/535][102013] Loss_D: -0.023576 Loss_G: 0.002178 Loss_D_real: -0.023652 Loss_D_fake -0.000076
[990/5000][65/535][102014] Loss_D: -0.022026 Loss_G: -0.004859 Loss_D_real: -0.007492 Loss_D_fake 0.014535
[990/5000][70/535][102015] Loss_D: -0.022422 Loss_G: 0.022752 Loss_D_real: -0.024763 Loss_D_fake -0.002341
[990/5000][75/535][102016] Loss_D: -0.024066 Loss_G: 0.011117 Loss_D_real: -0.010528 Loss_D_fake 0.013538
[990/5000][80/535][102017] Loss_D: -0.022828 Loss_G: -0.007726 Loss_D_real: -0.001947 Loss_D_fake 0.020882
[990/5000][85/535][102018] Loss_D: -0.022803 Loss_G: -0.012424 Loss_D_real: -0.002904 Loss_D_fake 0.019899
[990/5000][90/535][102019] Loss_D: -0.023162 Loss_G: 0.008144 Loss_D_real: -0.019218 Loss_D_fake 0.003944
[990/5000][95/535][102020] Loss_D: -0.022087 Loss_G: 0.019419 Loss_D_real: -0.030720 Loss_D_fake -0.008634
[990/5000][100/535][102021] Loss_D: -0.023945 Loss_G: -0.005374 Loss_D_real: -0.011377 Loss_D_fake 0.012568
[990/5000][105/535][102022] Loss_D: -0.022834 Loss_G: 0.015232 Loss_D_real: -0.015612 Loss_D_fake 0.007223
[990/5000][110/535][102023] Loss_D: -0.022789 Loss_G: 0.024742 Loss_D_real: -0.040078 Loss_D_fake -0.017289
[990/5000][115/535][102024] Loss_D: -0.022885 Loss_G: 0.024490 Loss_D_real: -0.028814 Loss_D_fake -0.005930
[990/5000][120/535][102025] Loss_D: -0.024176 Loss_G: 0.012643 Loss_D_real: -0.025357 Loss_D_fake -0.001181
[990/5000][125/535][102026] Loss_D: -0.024498 Loss_G: 0.007562 Loss_D_real: -0.014303 Loss_D_fake 0.010195
[990/5000][130/535][102027] Loss_D: -0.022757 Loss_G: -0.011060 Loss_D_real: -0.001407 Loss_D_fake 0.021349
[990/5000][135/535][102028] Loss_D: -0.020260 Loss_G: 0.018184 Loss_D_real: -0.029153 Loss_D_fake -0.008893
[990/5000][140/535][102029] Loss_D: -0.022609 Loss_G: -0.017906 Loss_D_real: -0.003880 Loss_D_fake 0.018730
[990/5000][145/535][102030] Loss_D: -0.021061 Loss_G: 0.017226 Loss_D_real: -0.028276 Loss_D_fake -0.007215
[990/5000][150/535][102031] Loss_D: -0.022747 Loss_G: -0.000347 Loss_D_real: -0.017090 Loss_D_fake 0.005657
[990/5000][155/535][102032] Loss_D: -0.022671 Loss_G: 0.004063 Loss_D_real: -0.022444 Loss_D_fake 0.000227
[990/5000][160/535][102033] Loss_D: -0.023175 Loss_G: -0.002134 Loss_D_real: -0.012977 Loss_D_fake 0.010199
[990/5000][165/535][102034] Loss_D: -0.022222 Loss_G: 0.010629 Loss_D_real: -0.022825 Loss_D_fake -0.000603
[990/5000][170/535][102035] Loss_D: -0.022236 Loss_G: 0.009927 Loss_D_real: -0.020777 Loss_D_fake 0.001459
[990/5000][175/535][102036] Loss_D: -0.022684 Loss_G: -0.003799 Loss_D_real: -0.005729 Loss_D_fake 0.016955
[990/5000][180/535][102037] Loss_D: -0.022772 Loss_G: 0.014081 Loss_D_real: -0.024897 Loss_D_fake -0.002126
[990/5000][185/535][102038] Loss_D: -0.023788 Loss_G: 0.010188 Loss_D_real: -0.022549 Loss_D_fake 0.001239
[990/5000][190/535][102039] Loss_D: -0.023364 Loss_G: 0.008211 Loss_D_real: -0.019434 Loss_D_fake 0.003930
[990/5000][195/535][102040] Loss_D: -0.022803 Loss_G: -0.006025 Loss_D_real: -0.003541 Loss_D_fake 0.019262
[990/5000][200/535][102041] Loss_D: -0.022306 Loss_G: 0.000100 Loss_D_real: -0.017143 Loss_D_fake 0.005163
[990/5000][205/535][102042] Loss_D: -0.023638 Loss_G: -0.009134 Loss_D_real: -0.012195 Loss_D_fake 0.011443
[990/5000][210/535][102043] Loss_D: -0.021851 Loss_G: 0.020869 Loss_D_real: -0.033929 Loss_D_fake -0.012077
[990/5000][215/535][102044] Loss_D: -0.024348 Loss_G: 0.010469 Loss_D_real: -0.011660 Loss_D_fake 0.012688
[990/5000][220/535][102045] Loss_D: -0.022322 Loss_G: -0.009474 Loss_D_real: -0.004990 Loss_D_fake 0.017332
[990/5000][225/535][102046] Loss_D: -0.023931 Loss_G: 0.000398 Loss_D_real: -0.018566 Loss_D_fake 0.005365
[990/5000][230/535][102047] Loss_D: -0.024158 Loss_G: 0.008692 Loss_D_real: -0.024413 Loss_D_fake -0.000255
[990/5000][235/535][102048] Loss_D: -0.021427 Loss_G: -0.007400 Loss_D_real: 0.005667 Loss_D_fake 0.027095
[990/5000][240/535][102049] Loss_D: -0.023764 Loss_G: 0.027770 Loss_D_real: -0.033096 Loss_D_fake -0.009332
[990/5000][245/535][102050] Loss_D: -0.021618 Loss_G: -0.002616 Loss_D_real: -0.009827 Loss_D_fake 0.011791
[990/5000][250/535][102051] Loss_D: -0.022878 Loss_G: 0.006803 Loss_D_real: -0.009520 Loss_D_fake 0.013358
[990/5000][255/535][102052] Loss_D: -0.023387 Loss_G: 0.009812 Loss_D_real: -0.011046 Loss_D_fake 0.012341
[990/5000][260/535][102053] Loss_D: -0.022829 Loss_G: -0.012723 Loss_D_real: -0.011216 Loss_D_fake 0.011613
[990/5000][265/535][102054] Loss_D: -0.022658 Loss_G: 0.000843 Loss_D_real: -0.015496 Loss_D_fake 0.007162
[990/5000][270/535][102055] Loss_D: -0.021918 Loss_G: 0.013849 Loss_D_real: -0.017363 Loss_D_fake 0.004556
[990/5000][275/535][102056] Loss_D: -0.023602 Loss_G: -0.000871 Loss_D_real: -0.009529 Loss_D_fake 0.014073
[990/5000][280/535][102057] Loss_D: -0.020944 Loss_G: 0.022518 Loss_D_real: -0.022948 Loss_D_fake -0.002004
[990/5000][285/535][102058] Loss_D: -0.022392 Loss_G: 0.011892 Loss_D_real: -0.017496 Loss_D_fake 0.004896
[990/5000][290/535][102059] Loss_D: -0.022662 Loss_G: 0.012543 Loss_D_real: -0.018977 Loss_D_fake 0.003685
[990/5000][295/535][102060] Loss_D: -0.021705 Loss_G: 0.000846 Loss_D_real: -0.015603 Loss_D_fake 0.006102
[990/5000][300/535][102061] Loss_D: -0.022986 Loss_G: 0.005570 Loss_D_real: -0.016567 Loss_D_fake 0.006420
[990/5000][305/535][102062] Loss_D: -0.023026 Loss_G: 0.029922 Loss_D_real: -0.033494 Loss_D_fake -0.010468
[990/5000][310/535][102063] Loss_D: -0.024100 Loss_G: 0.007702 Loss_D_real: -0.007462 Loss_D_fake 0.016638
[990/5000][315/535][102064] Loss_D: -0.024436 Loss_G: 0.013280 Loss_D_real: -0.024651 Loss_D_fake -0.000215
[990/5000][320/535][102065] Loss_D: -0.022783 Loss_G: -0.000753 Loss_D_real: -0.011672 Loss_D_fake 0.011110
[990/5000][325/535][102066] Loss_D: -0.023115 Loss_G: 0.014097 Loss_D_real: -0.027760 Loss_D_fake -0.004645
[990/5000][330/535][102067] Loss_D: -0.023227 Loss_G: 0.014143 Loss_D_real: -0.017592 Loss_D_fake 0.005636
[990/5000][335/535][102068] Loss_D: -0.022910 Loss_G: 0.001360 Loss_D_real: -0.014750 Loss_D_fake 0.008160
[990/5000][340/535][102069] Loss_D: -0.022997 Loss_G: 0.019986 Loss_D_real: -0.032616 Loss_D_fake -0.009619
[990/5000][345/535][102070] Loss_D: -0.023653 Loss_G: -0.011752 Loss_D_real: -0.007514 Loss_D_fake 0.016139
[990/5000][350/535][102071] Loss_D: -0.021386 Loss_G: -0.003762 Loss_D_real: -0.004410 Loss_D_fake 0.016976
[990/5000][355/535][102072] Loss_D: -0.021565 Loss_G: 0.026504 Loss_D_real: -0.025277 Loss_D_fake -0.003712
[990/5000][360/535][102073] Loss_D: -0.023897 Loss_G: 0.000005 Loss_D_real: -0.022498 Loss_D_fake 0.001399
[990/5000][365/535][102074] Loss_D: -0.022932 Loss_G: -0.001741 Loss_D_real: -0.011701 Loss_D_fake 0.011230
[990/5000][370/535][102075] Loss_D: -0.022663 Loss_G: 0.023283 Loss_D_real: -0.019510 Loss_D_fake 0.003153
[990/5000][375/535][102076] Loss_D: -0.020899 Loss_G: 0.021027 Loss_D_real: -0.025349 Loss_D_fake -0.004450
[990/5000][380/535][102077] Loss_D: -0.024784 Loss_G: 0.005544 Loss_D_real: -0.030143 Loss_D_fake -0.005359
[990/5000][385/535][102078] Loss_D: -0.024180 Loss_G: 0.002180 Loss_D_real: -0.017615 Loss_D_fake 0.006565
[990/5000][390/535][102079] Loss_D: -0.023422 Loss_G: 0.010017 Loss_D_real: -0.019407 Loss_D_fake 0.004015
[990/5000][395/535][102080] Loss_D: -0.023777 Loss_G: 0.002427 Loss_D_real: -0.006929 Loss_D_fake 0.016848
[990/5000][400/535][102081] Loss_D: -0.024134 Loss_G: 0.010146 Loss_D_real: -0.030996 Loss_D_fake -0.006862
[990/5000][405/535][102082] Loss_D: -0.024271 Loss_G: 0.016419 Loss_D_real: -0.017784 Loss_D_fake 0.006488
[990/5000][410/535][102083] Loss_D: -0.022893 Loss_G: 0.002519 Loss_D_real: -0.013400 Loss_D_fake 0.009493
[990/5000][415/535][102084] Loss_D: -0.022728 Loss_G: -0.000625 Loss_D_real: -0.006038 Loss_D_fake 0.016690
[990/5000][420/535][102085] Loss_D: -0.021027 Loss_G: -0.008423 Loss_D_real: -0.011058 Loss_D_fake 0.009970
[990/5000][425/535][102086] Loss_D: -0.023535 Loss_G: 0.013859 Loss_D_real: -0.022087 Loss_D_fake 0.001448
[990/5000][430/535][102087] Loss_D: -0.021673 Loss_G: 0.012995 Loss_D_real: -0.012705 Loss_D_fake 0.008968
[990/5000][435/535][102088] Loss_D: -0.023027 Loss_G: -0.008045 Loss_D_real: -0.009789 Loss_D_fake 0.013238
[990/5000][440/535][102089] Loss_D: -0.021667 Loss_G: -0.008040 Loss_D_real: -0.007963 Loss_D_fake 0.013703
[990/5000][445/535][102090] Loss_D: -0.021858 Loss_G: 0.015036 Loss_D_real: -0.022403 Loss_D_fake -0.000544
[990/5000][450/535][102091] Loss_D: -0.021818 Loss_G: -0.005723 Loss_D_real: 0.003706 Loss_D_fake 0.025523
[990/5000][455/535][102092] Loss_D: -0.023401 Loss_G: 0.009940 Loss_D_real: -0.008914 Loss_D_fake 0.014487
[990/5000][460/535][102093] Loss_D: -0.022863 Loss_G: 0.004433 Loss_D_real: -0.015194 Loss_D_fake 0.007669
[990/5000][465/535][102094] Loss_D: -0.023414 Loss_G: -0.012587 Loss_D_real: -0.010174 Loss_D_fake 0.013241
[990/5000][470/535][102095] Loss_D: -0.022984 Loss_G: 0.014374 Loss_D_real: -0.013251 Loss_D_fake 0.009733
[990/5000][475/535][102096] Loss_D: -0.023334 Loss_G: 0.021395 Loss_D_real: -0.035139 Loss_D_fake -0.011804
[990/5000][480/535][102097] Loss_D: -0.024064 Loss_G: -0.002580 Loss_D_real: -0.016383 Loss_D_fake 0.007682
[990/5000][485/535][102098] Loss_D: -0.022466 Loss_G: 0.009346 Loss_D_real: -0.019969 Loss_D_fake 0.002497
[990/5000][490/535][102099] Loss_D: -0.023915 Loss_G: 0.009429 Loss_D_real: -0.017861 Loss_D_fake 0.006054
[990/5000][495/535][102100] Loss_D: -0.022482 Loss_G: 0.001847 Loss_D_real: -0.014710 Loss_D_fake 0.007773
[990/5000][500/535][102101] Loss_D: -0.023540 Loss_G: 0.029009 Loss_D_real: -0.033137 Loss_D_fake -0.009597
[990/5000][505/535][102102] Loss_D: -0.022262 Loss_G: -0.006385 Loss_D_real: -0.008938 Loss_D_fake 0.013325
[990/5000][510/535][102103] Loss_D: -0.023642 Loss_G: 0.006517 Loss_D_real: -0.023747 Loss_D_fake -0.000105
[990/5000][515/535][102104] Loss_D: -0.023562 Loss_G: 0.010706 Loss_D_real: -0.019426 Loss_D_fake 0.004136
[990/5000][520/535][102105] Loss_D: -0.023167 Loss_G: -0.009420 Loss_D_real: -0.010486 Loss_D_fake 0.012682
[990/5000][525/535][102106] Loss_D: -0.021824 Loss_G: 0.027786 Loss_D_real: -0.031460 Loss_D_fake -0.009636
[990/5000][530/535][102107] Loss_D: -0.022736 Loss_G: -0.005010 Loss_D_real: -0.024151 Loss_D_fake -0.001415
[990/5000][535/535][102108] Loss_D: -0.021146 Loss_G: 0.013567 Loss_D_real: -0.033231 Loss_D_fake -0.012086
[991/5000][5/535][102109] Loss_D: -0.023354 Loss_G: 0.022863 Loss_D_real: -0.022753 Loss_D_fake 0.000601
[991/5000][10/535][102110] Loss_D: -0.021182 Loss_G: 0.018702 Loss_D_real: -0.033900 Loss_D_fake -0.012718
[991/5000][15/535][102111] Loss_D: -0.022595 Loss_G: -0.017257 Loss_D_real: -0.002322 Loss_D_fake 0.020273
[991/5000][20/535][102112] Loss_D: -0.022965 Loss_G: 0.004351 Loss_D_real: -0.021714 Loss_D_fake 0.001251
[991/5000][25/535][102113] Loss_D: -0.022499 Loss_G: 0.002012 Loss_D_real: -0.009588 Loss_D_fake 0.012911
[991/5000][30/535][102114] Loss_D: -0.021643 Loss_G: 0.008745 Loss_D_real: -0.008438 Loss_D_fake 0.013205
[991/5000][35/535][102115] Loss_D: -0.021863 Loss_G: 0.013237 Loss_D_real: -0.018374 Loss_D_fake 0.003489
[991/5000][40/535][102116] Loss_D: -0.022939 Loss_G: 0.012847 Loss_D_real: -0.022252 Loss_D_fake 0.000687
[991/5000][45/535][102117] Loss_D: -0.022563 Loss_G: 0.001247 Loss_D_real: -0.013188 Loss_D_fake 0.009375
[991/5000][50/535][102118] Loss_D: -0.021154 Loss_G: 0.008175 Loss_D_real: -0.010546 Loss_D_fake 0.010609
[991/5000][55/535][102119] Loss_D: -0.022732 Loss_G: 0.002010 Loss_D_real: -0.012931 Loss_D_fake 0.009801
[991/5000][60/535][102120] Loss_D: -0.023047 Loss_G: 0.009587 Loss_D_real: -0.018701 Loss_D_fake 0.004346
[991/5000][65/535][102121] Loss_D: -0.022468 Loss_G: 0.005667 Loss_D_real: -0.011876 Loss_D_fake 0.010592
[991/5000][70/535][102122] Loss_D: -0.022120 Loss_G: -0.011209 Loss_D_real: -0.004758 Loss_D_fake 0.017362
[991/5000][75/535][102123] Loss_D: -0.022215 Loss_G: 0.023601 Loss_D_real: -0.025445 Loss_D_fake -0.003229
[991/5000][80/535][102124] Loss_D: -0.022487 Loss_G: 0.016392 Loss_D_real: -0.026945 Loss_D_fake -0.004458
[991/5000][85/535][102125] Loss_D: -0.023273 Loss_G: 0.014204 Loss_D_real: -0.022719 Loss_D_fake 0.000554
[991/5000][90/535][102126] Loss_D: -0.023345 Loss_G: 0.008801 Loss_D_real: -0.027025 Loss_D_fake -0.003680
[991/5000][95/535][102127] Loss_D: -0.022196 Loss_G: 0.022293 Loss_D_real: -0.031719 Loss_D_fake -0.009523
[991/5000][100/535][102128] Loss_D: -0.023666 Loss_G: -0.000478 Loss_D_real: -0.015988 Loss_D_fake 0.007678
[991/5000][105/535][102129] Loss_D: -0.025680 Loss_G: 0.013332 Loss_D_real: -0.017508 Loss_D_fake 0.008172
[991/5000][110/535][102130] Loss_D: -0.023346 Loss_G: 0.005096 Loss_D_real: -0.017919 Loss_D_fake 0.005427
[991/5000][115/535][102131] Loss_D: -0.022737 Loss_G: 0.017519 Loss_D_real: -0.032022 Loss_D_fake -0.009284
[991/5000][120/535][102132] Loss_D: -0.024436 Loss_G: 0.012108 Loss_D_real: -0.024343 Loss_D_fake 0.000093
[991/5000][125/535][102133] Loss_D: -0.023819 Loss_G: 0.010260 Loss_D_real: -0.018109 Loss_D_fake 0.005710
[991/5000][130/535][102134] Loss_D: -0.022852 Loss_G: 0.012156 Loss_D_real: -0.016999 Loss_D_fake 0.005854
[991/5000][135/535][102135] Loss_D: -0.023636 Loss_G: -0.005025 Loss_D_real: -0.010575 Loss_D_fake 0.013062
[991/5000][140/535][102136] Loss_D: -0.024336 Loss_G: 0.011742 Loss_D_real: -0.022581 Loss_D_fake 0.001755
[991/5000][145/535][102137] Loss_D: -0.024536 Loss_G: 0.010122 Loss_D_real: -0.013334 Loss_D_fake 0.011202
[991/5000][150/535][102138] Loss_D: -0.023724 Loss_G: 0.003358 Loss_D_real: -0.016044 Loss_D_fake 0.007680
[991/5000][155/535][102139] Loss_D: -0.021615 Loss_G: -0.018014 Loss_D_real: 0.000133 Loss_D_fake 0.021749
[991/5000][160/535][102140] Loss_D: -0.021812 Loss_G: 0.023087 Loss_D_real: -0.034424 Loss_D_fake -0.012612
[991/5000][165/535][102141] Loss_D: -0.023075 Loss_G: 0.000975 Loss_D_real: -0.016415 Loss_D_fake 0.006660
[991/5000][170/535][102142] Loss_D: -0.024069 Loss_G: 0.006238 Loss_D_real: -0.004113 Loss_D_fake 0.019956
[991/5000][175/535][102143] Loss_D: -0.022804 Loss_G: 0.022547 Loss_D_real: -0.021079 Loss_D_fake 0.001725
[991/5000][180/535][102144] Loss_D: -0.023192 Loss_G: -0.004575 Loss_D_real: -0.016720 Loss_D_fake 0.006472
[991/5000][185/535][102145] Loss_D: -0.023613 Loss_G: 0.002817 Loss_D_real: -0.016304 Loss_D_fake 0.007310
[991/5000][190/535][102146] Loss_D: -0.022692 Loss_G: 0.006124 Loss_D_real: -0.004616 Loss_D_fake 0.018076
[991/5000][195/535][102147] Loss_D: -0.023407 Loss_G: 0.009743 Loss_D_real: -0.017676 Loss_D_fake 0.005731
[991/5000][200/535][102148] Loss_D: -0.022073 Loss_G: 0.007284 Loss_D_real: -0.020463 Loss_D_fake 0.001610
[991/5000][205/535][102149] Loss_D: -0.022594 Loss_G: 0.006165 Loss_D_real: -0.025544 Loss_D_fake -0.002949
[991/5000][210/535][102150] Loss_D: -0.023967 Loss_G: 0.017616 Loss_D_real: -0.016205 Loss_D_fake 0.007763
[991/5000][215/535][102151] Loss_D: -0.024251 Loss_G: 0.013052 Loss_D_real: -0.014069 Loss_D_fake 0.010182
[991/5000][220/535][102152] Loss_D: -0.023278 Loss_G: 0.017448 Loss_D_real: -0.029127 Loss_D_fake -0.005849
[991/5000][225/535][102153] Loss_D: -0.021466 Loss_G: 0.013391 Loss_D_real: -0.022361 Loss_D_fake -0.000895
[991/5000][230/535][102154] Loss_D: -0.023040 Loss_G: 0.000087 Loss_D_real: -0.002482 Loss_D_fake 0.020559
[991/5000][235/535][102155] Loss_D: -0.022456 Loss_G: 0.003896 Loss_D_real: -0.024459 Loss_D_fake -0.002002
[991/5000][240/535][102156] Loss_D: -0.022923 Loss_G: 0.008226 Loss_D_real: -0.012995 Loss_D_fake 0.009928
[991/5000][245/535][102157] Loss_D: -0.022509 Loss_G: -0.003621 Loss_D_real: -0.012039 Loss_D_fake 0.010469
[991/5000][250/535][102158] Loss_D: -0.022404 Loss_G: 0.002522 Loss_D_real: -0.033091 Loss_D_fake -0.010687
[991/5000][255/535][102159] Loss_D: -0.023111 Loss_G: 0.007166 Loss_D_real: -0.018721 Loss_D_fake 0.004391
[991/5000][260/535][102160] Loss_D: -0.022703 Loss_G: 0.010861 Loss_D_real: -0.014868 Loss_D_fake 0.007835
[991/5000][265/535][102161] Loss_D: -0.023060 Loss_G: -0.011303 Loss_D_real: -0.016127 Loss_D_fake 0.006933
[991/5000][270/535][102162] Loss_D: -0.021878 Loss_G: 0.018983 Loss_D_real: -0.038818 Loss_D_fake -0.016940
[991/5000][275/535][102163] Loss_D: -0.021734 Loss_G: 0.010192 Loss_D_real: -0.016719 Loss_D_fake 0.005015
[991/5000][280/535][102164] Loss_D: -0.023013 Loss_G: 0.011236 Loss_D_real: -0.014322 Loss_D_fake 0.008691
[991/5000][285/535][102165] Loss_D: -0.023255 Loss_G: -0.013773 Loss_D_real: -0.019330 Loss_D_fake 0.003925
[991/5000][290/535][102166] Loss_D: -0.020629 Loss_G: 0.022129 Loss_D_real: -0.026020 Loss_D_fake -0.005391
[991/5000][295/535][102167] Loss_D: -0.021392 Loss_G: 0.013977 Loss_D_real: -0.023487 Loss_D_fake -0.002094
[991/5000][300/535][102168] Loss_D: -0.020512 Loss_G: -0.011121 Loss_D_real: -0.006981 Loss_D_fake 0.013531
[991/5000][305/535][102169] Loss_D: -0.022887 Loss_G: 0.010066 Loss_D_real: -0.021955 Loss_D_fake 0.000932
[991/5000][310/535][102170] Loss_D: -0.023066 Loss_G: 0.000245 Loss_D_real: -0.010144 Loss_D_fake 0.012923
[991/5000][315/535][102171] Loss_D: -0.023110 Loss_G: 0.002312 Loss_D_real: -0.016047 Loss_D_fake 0.007063
[991/5000][320/535][102172] Loss_D: -0.021758 Loss_G: -0.013514 Loss_D_real: -0.010350 Loss_D_fake 0.011408
[991/5000][325/535][102173] Loss_D: -0.024270 Loss_G: 0.013595 Loss_D_real: -0.016383 Loss_D_fake 0.007887
[991/5000][330/535][102174] Loss_D: -0.024224 Loss_G: 0.017740 Loss_D_real: -0.022138 Loss_D_fake 0.002086
[991/5000][335/535][102175] Loss_D: -0.023836 Loss_G: -0.006229 Loss_D_real: -0.016786 Loss_D_fake 0.007049
[991/5000][340/535][102176] Loss_D: -0.022850 Loss_G: 0.019520 Loss_D_real: -0.032503 Loss_D_fake -0.009652
[991/5000][345/535][102177] Loss_D: -0.022656 Loss_G: -0.012373 Loss_D_real: -0.008081 Loss_D_fake 0.014575
[991/5000][350/535][102178] Loss_D: -0.023435 Loss_G: 0.025296 Loss_D_real: -0.035777 Loss_D_fake -0.012342
[991/5000][355/535][102179] Loss_D: -0.022842 Loss_G: 0.022276 Loss_D_real: -0.020858 Loss_D_fake 0.001984
[991/5000][360/535][102180] Loss_D: -0.023384 Loss_G: 0.002169 Loss_D_real: -0.011524 Loss_D_fake 0.011860
[991/5000][365/535][102181] Loss_D: -0.023670 Loss_G: -0.003013 Loss_D_real: -0.011381 Loss_D_fake 0.012290
[991/5000][370/535][102182] Loss_D: -0.023312 Loss_G: 0.013002 Loss_D_real: -0.027850 Loss_D_fake -0.004539
[991/5000][375/535][102183] Loss_D: -0.022410 Loss_G: 0.023071 Loss_D_real: -0.027406 Loss_D_fake -0.004996
[991/5000][380/535][102184] Loss_D: -0.022374 Loss_G: 0.014613 Loss_D_real: -0.019711 Loss_D_fake 0.002664
[991/5000][385/535][102185] Loss_D: -0.024020 Loss_G: -0.006369 Loss_D_real: -0.013481 Loss_D_fake 0.010539
[991/5000][390/535][102186] Loss_D: -0.023268 Loss_G: -0.002750 Loss_D_real: -0.019318 Loss_D_fake 0.003950
[991/5000][395/535][102187] Loss_D: -0.021576 Loss_G: 0.028235 Loss_D_real: -0.043119 Loss_D_fake -0.021544
[991/5000][400/535][102188] Loss_D: -0.022337 Loss_G: 0.005567 Loss_D_real: -0.025296 Loss_D_fake -0.002959
[991/5000][405/535][102189] Loss_D: -0.022698 Loss_G: -0.017945 Loss_D_real: -0.013716 Loss_D_fake 0.008982
[991/5000][410/535][102190] Loss_D: -0.021836 Loss_G: 0.005506 Loss_D_real: -0.015961 Loss_D_fake 0.005875
[991/5000][415/535][102191] Loss_D: -0.021858 Loss_G: -0.013293 Loss_D_real: -0.004134 Loss_D_fake 0.017724
[991/5000][420/535][102192] Loss_D: -0.022848 Loss_G: 0.016598 Loss_D_real: -0.020349 Loss_D_fake 0.002499
[991/5000][425/535][102193] Loss_D: -0.024158 Loss_G: 0.009903 Loss_D_real: -0.014747 Loss_D_fake 0.009411
[991/5000][430/535][102194] Loss_D: -0.022616 Loss_G: 0.011331 Loss_D_real: -0.029115 Loss_D_fake -0.006499
[991/5000][435/535][102195] Loss_D: -0.023233 Loss_G: 0.017049 Loss_D_real: -0.026714 Loss_D_fake -0.003480
[991/5000][440/535][102196] Loss_D: -0.023533 Loss_G: 0.021787 Loss_D_real: -0.031927 Loss_D_fake -0.008394
[991/5000][445/535][102197] Loss_D: -0.023775 Loss_G: 0.009756 Loss_D_real: -0.016671 Loss_D_fake 0.007104
[991/5000][450/535][102198] Loss_D: -0.020956 Loss_G: -0.006405 Loss_D_real: -0.003161 Loss_D_fake 0.017795
[991/5000][455/535][102199] Loss_D: -0.022613 Loss_G: -0.006279 Loss_D_real: -0.013427 Loss_D_fake 0.009186
[991/5000][460/535][102200] Loss_D: -0.021802 Loss_G: -0.010623 Loss_D_real: -0.016902 Loss_D_fake 0.004901
[991/5000][465/535][102201] Loss_D: -0.022969 Loss_G: 0.019568 Loss_D_real: -0.018404 Loss_D_fake 0.004564
[991/5000][470/535][102202] Loss_D: -0.022960 Loss_G: 0.012465 Loss_D_real: -0.009094 Loss_D_fake 0.013867
[991/5000][475/535][102203] Loss_D: -0.021703 Loss_G: -0.007013 Loss_D_real: -0.008746 Loss_D_fake 0.012957
[991/5000][480/535][102204] Loss_D: -0.022256 Loss_G: 0.005124 Loss_D_real: -0.014169 Loss_D_fake 0.008087
[991/5000][485/535][102205] Loss_D: -0.022514 Loss_G: -0.015978 Loss_D_real: -0.007605 Loss_D_fake 0.014909
[991/5000][490/535][102206] Loss_D: -0.023296 Loss_G: 0.016871 Loss_D_real: -0.020933 Loss_D_fake 0.002363
[991/5000][495/535][102207] Loss_D: -0.023829 Loss_G: 0.007715 Loss_D_real: -0.011299 Loss_D_fake 0.012530
[991/5000][500/535][102208] Loss_D: -0.022537 Loss_G: -0.004929 Loss_D_real: -0.008745 Loss_D_fake 0.013792
[991/5000][505/535][102209] Loss_D: -0.021817 Loss_G: 0.028665 Loss_D_real: -0.029879 Loss_D_fake -0.008062
[991/5000][510/535][102210] Loss_D: -0.023490 Loss_G: 0.002994 Loss_D_real: -0.023764 Loss_D_fake -0.000274
[991/5000][515/535][102211] Loss_D: -0.023772 Loss_G: 0.007420 Loss_D_real: -0.021006 Loss_D_fake 0.002766
[991/5000][520/535][102212] Loss_D: -0.023901 Loss_G: 0.007789 Loss_D_real: -0.025673 Loss_D_fake -0.001772
[991/5000][525/535][102213] Loss_D: -0.023599 Loss_G: -0.005234 Loss_D_real: -0.010698 Loss_D_fake 0.012900
[991/5000][530/535][102214] Loss_D: -0.022040 Loss_G: 0.006754 Loss_D_real: -0.012173 Loss_D_fake 0.009867
[991/5000][535/535][102215] Loss_D: -0.024546 Loss_G: 0.031169 Loss_D_real: -0.031402 Loss_D_fake -0.006856
[992/5000][5/535][102216] Loss_D: -0.023141 Loss_G: -0.005402 Loss_D_real: -0.009959 Loss_D_fake 0.013182
[992/5000][10/535][102217] Loss_D: -0.022360 Loss_G: 0.021132 Loss_D_real: -0.029348 Loss_D_fake -0.006987
[992/5000][15/535][102218] Loss_D: -0.022238 Loss_G: 0.005789 Loss_D_real: -0.013382 Loss_D_fake 0.008856
[992/5000][20/535][102219] Loss_D: -0.022697 Loss_G: -0.015333 Loss_D_real: -0.014259 Loss_D_fake 0.008437
[992/5000][25/535][102220] Loss_D: -0.021904 Loss_G: 0.008762 Loss_D_real: -0.029227 Loss_D_fake -0.007322
[992/5000][30/535][102221] Loss_D: -0.021892 Loss_G: -0.002969 Loss_D_real: -0.002662 Loss_D_fake 0.019230
[992/5000][35/535][102222] Loss_D: -0.023046 Loss_G: -0.013350 Loss_D_real: -0.017461 Loss_D_fake 0.005585
[992/5000][40/535][102223] Loss_D: -0.024646 Loss_G: 0.010902 Loss_D_real: -0.019234 Loss_D_fake 0.005412
[992/5000][45/535][102224] Loss_D: -0.024407 Loss_G: 0.010311 Loss_D_real: -0.027562 Loss_D_fake -0.003155
[992/5000][50/535][102225] Loss_D: -0.021348 Loss_G: 0.023503 Loss_D_real: -0.026885 Loss_D_fake -0.005536
[992/5000][55/535][102226] Loss_D: -0.023177 Loss_G: -0.009345 Loss_D_real: -0.012212 Loss_D_fake 0.010965
[992/5000][60/535][102227] Loss_D: -0.023776 Loss_G: -0.005930 Loss_D_real: -0.014350 Loss_D_fake 0.009426
[992/5000][65/535][102228] Loss_D: -0.022300 Loss_G: 0.017621 Loss_D_real: -0.025192 Loss_D_fake -0.002892
[992/5000][70/535][102229] Loss_D: -0.023475 Loss_G: 0.004852 Loss_D_real: -0.012141 Loss_D_fake 0.011333
[992/5000][75/535][102230] Loss_D: -0.023294 Loss_G: 0.001684 Loss_D_real: -0.014909 Loss_D_fake 0.008385
[992/5000][80/535][102231] Loss_D: -0.022163 Loss_G: 0.001461 Loss_D_real: -0.021669 Loss_D_fake 0.000494
[992/5000][85/535][102232] Loss_D: -0.021716 Loss_G: 0.034718 Loss_D_real: -0.039349 Loss_D_fake -0.017633
[992/5000][90/535][102233] Loss_D: -0.022654 Loss_G: 0.006446 Loss_D_real: -0.025277 Loss_D_fake -0.002623
[992/5000][95/535][102234] Loss_D: -0.021193 Loss_G: 0.011193 Loss_D_real: -0.024541 Loss_D_fake -0.003347
[992/5000][100/535][102235] Loss_D: -0.022820 Loss_G: 0.010900 Loss_D_real: -0.008060 Loss_D_fake 0.014760
[992/5000][105/535][102236] Loss_D: -0.024073 Loss_G: 0.018483 Loss_D_real: -0.016003 Loss_D_fake 0.008069
[992/5000][110/535][102237] Loss_D: -0.021383 Loss_G: -0.007314 Loss_D_real: -0.008982 Loss_D_fake 0.012400
[992/5000][115/535][102238] Loss_D: -0.022353 Loss_G: 0.003414 Loss_D_real: -0.025577 Loss_D_fake -0.003223
[992/5000][120/535][102239] Loss_D: -0.020765 Loss_G: 0.024078 Loss_D_real: -0.031301 Loss_D_fake -0.010536
[992/5000][125/535][102240] Loss_D: -0.023019 Loss_G: 0.000536 Loss_D_real: -0.017288 Loss_D_fake 0.005731
[992/5000][130/535][102241] Loss_D: -0.024481 Loss_G: 0.010980 Loss_D_real: -0.027770 Loss_D_fake -0.003289
[992/5000][135/535][102242] Loss_D: -0.024023 Loss_G: 0.007689 Loss_D_real: -0.015008 Loss_D_fake 0.009015
[992/5000][140/535][102243] Loss_D: -0.022952 Loss_G: -0.004561 Loss_D_real: -0.017315 Loss_D_fake 0.005637
[992/5000][145/535][102244] Loss_D: -0.023120 Loss_G: -0.000302 Loss_D_real: -0.016446 Loss_D_fake 0.006674
[992/5000][150/535][102245] Loss_D: -0.022406 Loss_G: 0.009056 Loss_D_real: -0.015157 Loss_D_fake 0.007249
[992/5000][155/535][102246] Loss_D: -0.023907 Loss_G: -0.005568 Loss_D_real: -0.012774 Loss_D_fake 0.011134
[992/5000][160/535][102247] Loss_D: -0.021975 Loss_G: 0.014716 Loss_D_real: -0.013084 Loss_D_fake 0.008891
[992/5000][165/535][102248] Loss_D: -0.022481 Loss_G: 0.007996 Loss_D_real: -0.022953 Loss_D_fake -0.000473
[992/5000][170/535][102249] Loss_D: -0.022144 Loss_G: 0.012839 Loss_D_real: -0.029042 Loss_D_fake -0.006899
[992/5000][175/535][102250] Loss_D: -0.022179 Loss_G: -0.004993 Loss_D_real: -0.010863 Loss_D_fake 0.011316
[992/5000][180/535][102251] Loss_D: -0.023060 Loss_G: 0.005696 Loss_D_real: -0.019493 Loss_D_fake 0.003567
[992/5000][185/535][102252] Loss_D: -0.023959 Loss_G: -0.001554 Loss_D_real: -0.015943 Loss_D_fake 0.008016
[992/5000][190/535][102253] Loss_D: -0.023023 Loss_G: -0.006802 Loss_D_real: -0.009569 Loss_D_fake 0.013454
[992/5000][195/535][102254] Loss_D: -0.021564 Loss_G: 0.024979 Loss_D_real: -0.031077 Loss_D_fake -0.009513
[992/5000][200/535][102255] Loss_D: -0.023159 Loss_G: -0.015925 Loss_D_real: -0.013344 Loss_D_fake 0.009815
[992/5000][205/535][102256] Loss_D: -0.022224 Loss_G: 0.015716 Loss_D_real: -0.022140 Loss_D_fake 0.000084
[992/5000][210/535][102257] Loss_D: -0.023251 Loss_G: 0.003220 Loss_D_real: -0.010914 Loss_D_fake 0.012337
[992/5000][215/535][102258] Loss_D: -0.022778 Loss_G: 0.015671 Loss_D_real: -0.014507 Loss_D_fake 0.008271
[992/5000][220/535][102259] Loss_D: -0.022844 Loss_G: 0.007718 Loss_D_real: -0.034587 Loss_D_fake -0.011742
[992/5000][225/535][102260] Loss_D: -0.023140 Loss_G: -0.008088 Loss_D_real: -0.011506 Loss_D_fake 0.011633
[992/5000][230/535][102261] Loss_D: -0.022465 Loss_G: 0.010060 Loss_D_real: -0.024873 Loss_D_fake -0.002408
[992/5000][235/535][102262] Loss_D: -0.023768 Loss_G: -0.001436 Loss_D_real: -0.008076 Loss_D_fake 0.015692
[992/5000][240/535][102263] Loss_D: -0.022880 Loss_G: 0.003228 Loss_D_real: -0.020662 Loss_D_fake 0.002218
[992/5000][245/535][102264] Loss_D: -0.022515 Loss_G: -0.001322 Loss_D_real: -0.012841 Loss_D_fake 0.009674
[992/5000][250/535][102265] Loss_D: -0.022257 Loss_G: -0.006355 Loss_D_real: -0.020786 Loss_D_fake 0.001470
[992/5000][255/535][102266] Loss_D: -0.023291 Loss_G: 0.012800 Loss_D_real: -0.025842 Loss_D_fake -0.002551
[992/5000][260/535][102267] Loss_D: -0.022996 Loss_G: 0.011054 Loss_D_real: -0.027245 Loss_D_fake -0.004249
[992/5000][265/535][102268] Loss_D: -0.023417 Loss_G: 0.013615 Loss_D_real: -0.032250 Loss_D_fake -0.008832
[992/5000][270/535][102269] Loss_D: -0.022258 Loss_G: 0.014884 Loss_D_real: -0.032370 Loss_D_fake -0.010111
[992/5000][275/535][102270] Loss_D: -0.022025 Loss_G: 0.002044 Loss_D_real: -0.012511 Loss_D_fake 0.009514
[992/5000][280/535][102271] Loss_D: -0.023183 Loss_G: 0.008783 Loss_D_real: -0.017950 Loss_D_fake 0.005232
[992/5000][285/535][102272] Loss_D: -0.020627 Loss_G: 0.025857 Loss_D_real: -0.031901 Loss_D_fake -0.011274
[992/5000][290/535][102273] Loss_D: -0.023409 Loss_G: 0.003638 Loss_D_real: -0.030381 Loss_D_fake -0.006972
[992/5000][295/535][102274] Loss_D: -0.021247 Loss_G: -0.003931 Loss_D_real: -0.004648 Loss_D_fake 0.016599
[992/5000][300/535][102275] Loss_D: -0.022754 Loss_G: 0.010675 Loss_D_real: -0.033349 Loss_D_fake -0.010595
[992/5000][305/535][102276] Loss_D: -0.022569 Loss_G: 0.001665 Loss_D_real: -0.005780 Loss_D_fake 0.016789
[992/5000][310/535][102277] Loss_D: -0.023809 Loss_G: 0.017762 Loss_D_real: -0.031703 Loss_D_fake -0.007894
[992/5000][315/535][102278] Loss_D: -0.022708 Loss_G: 0.012842 Loss_D_real: -0.025499 Loss_D_fake -0.002791
[992/5000][320/535][102279] Loss_D: -0.022517 Loss_G: -0.002454 Loss_D_real: -0.031825 Loss_D_fake -0.009308
[992/5000][325/535][102280] Loss_D: -0.022362 Loss_G: -0.007044 Loss_D_real: -0.005044 Loss_D_fake 0.017318
[992/5000][330/535][102281] Loss_D: -0.023603 Loss_G: 0.009293 Loss_D_real: -0.026624 Loss_D_fake -0.003021
[992/5000][335/535][102282] Loss_D: -0.021092 Loss_G: 0.024279 Loss_D_real: -0.028007 Loss_D_fake -0.006915
[992/5000][340/535][102283] Loss_D: -0.023254 Loss_G: 0.007210 Loss_D_real: -0.018315 Loss_D_fake 0.004939
[992/5000][345/535][102284] Loss_D: -0.021789 Loss_G: -0.002791 Loss_D_real: -0.011655 Loss_D_fake 0.010134
[992/5000][350/535][102285] Loss_D: -0.021439 Loss_G: 0.006367 Loss_D_real: -0.018874 Loss_D_fake 0.002564
[992/5000][355/535][102286] Loss_D: -0.021552 Loss_G: 0.004678 Loss_D_real: -0.029810 Loss_D_fake -0.008258
[992/5000][360/535][102287] Loss_D: -0.021667 Loss_G: -0.013852 Loss_D_real: 0.002117 Loss_D_fake 0.023783
[992/5000][365/535][102288] Loss_D: -0.020783 Loss_G: -0.013882 Loss_D_real: -0.004015 Loss_D_fake 0.016768
[992/5000][370/535][102289] Loss_D: -0.023009 Loss_G: -0.002962 Loss_D_real: -0.013065 Loss_D_fake 0.009943
[992/5000][375/535][102290] Loss_D: -0.024068 Loss_G: -0.000745 Loss_D_real: -0.013725 Loss_D_fake 0.010343
[992/5000][380/535][102291] Loss_D: -0.022803 Loss_G: -0.004434 Loss_D_real: 0.004356 Loss_D_fake 0.027158
[992/5000][385/535][102292] Loss_D: -0.022625 Loss_G: 0.005886 Loss_D_real: -0.015259 Loss_D_fake 0.007367
[992/5000][390/535][102293] Loss_D: -0.021469 Loss_G: -0.014997 Loss_D_real: -0.010345 Loss_D_fake 0.011125
[992/5000][395/535][102294] Loss_D: -0.023950 Loss_G: 0.023157 Loss_D_real: -0.032260 Loss_D_fake -0.008310
[992/5000][400/535][102295] Loss_D: -0.023519 Loss_G: 0.007376 Loss_D_real: -0.024058 Loss_D_fake -0.000539
[992/5000][405/535][102296] Loss_D: -0.023455 Loss_G: -0.008824 Loss_D_real: -0.003784 Loss_D_fake 0.019671
[992/5000][410/535][102297] Loss_D: -0.022619 Loss_G: 0.016511 Loss_D_real: -0.026607 Loss_D_fake -0.003988
[992/5000][415/535][102298] Loss_D: -0.023287 Loss_G: 0.010197 Loss_D_real: -0.017436 Loss_D_fake 0.005851
[992/5000][420/535][102299] Loss_D: -0.022687 Loss_G: 0.017283 Loss_D_real: -0.030254 Loss_D_fake -0.007567
[992/5000][425/535][102300] Loss_D: -0.024316 Loss_G: -0.004368 Loss_D_real: -0.019141 Loss_D_fake 0.005175
[992/5000][430/535][102301] Loss_D: -0.021744 Loss_G: -0.025889 Loss_D_real: 0.001047 Loss_D_fake 0.022791
[992/5000][435/535][102302] Loss_D: -0.021756 Loss_G: 0.012842 Loss_D_real: -0.012884 Loss_D_fake 0.008872
[992/5000][440/535][102303] Loss_D: -0.022802 Loss_G: 0.001781 Loss_D_real: -0.013499 Loss_D_fake 0.009303
[992/5000][445/535][102304] Loss_D: -0.023099 Loss_G: 0.016865 Loss_D_real: -0.030927 Loss_D_fake -0.007829
[992/5000][450/535][102305] Loss_D: -0.021845 Loss_G: 0.002084 Loss_D_real: -0.012629 Loss_D_fake 0.009216
[992/5000][455/535][102306] Loss_D: -0.022255 Loss_G: 0.010032 Loss_D_real: -0.030585 Loss_D_fake -0.008331
[992/5000][460/535][102307] Loss_D: -0.022553 Loss_G: -0.006718 Loss_D_real: -0.014422 Loss_D_fake 0.008131
[992/5000][465/535][102308] Loss_D: -0.022176 Loss_G: 0.000234 Loss_D_real: -0.020385 Loss_D_fake 0.001791
[992/5000][470/535][102309] Loss_D: -0.021979 Loss_G: 0.006496 Loss_D_real: -0.009145 Loss_D_fake 0.012834
[992/5000][475/535][102310] Loss_D: -0.022627 Loss_G: 0.008305 Loss_D_real: -0.016155 Loss_D_fake 0.006472
[992/5000][480/535][102311] Loss_D: -0.022381 Loss_G: 0.012696 Loss_D_real: -0.021650 Loss_D_fake 0.000731
[992/5000][485/535][102312] Loss_D: -0.021909 Loss_G: 0.005342 Loss_D_real: -0.036027 Loss_D_fake -0.014118
[992/5000][490/535][102313] Loss_D: -0.022715 Loss_G: 0.014381 Loss_D_real: -0.033598 Loss_D_fake -0.010883
[992/5000][495/535][102314] Loss_D: -0.022767 Loss_G: 0.002885 Loss_D_real: -0.013580 Loss_D_fake 0.009188
[992/5000][500/535][102315] Loss_D: -0.022382 Loss_G: 0.013849 Loss_D_real: -0.035200 Loss_D_fake -0.012818
[992/5000][505/535][102316] Loss_D: -0.022897 Loss_G: 0.019713 Loss_D_real: -0.032372 Loss_D_fake -0.009475
[992/5000][510/535][102317] Loss_D: -0.021099 Loss_G: 0.022402 Loss_D_real: -0.028476 Loss_D_fake -0.007377
[992/5000][515/535][102318] Loss_D: -0.023710 Loss_G: 0.017581 Loss_D_real: -0.022245 Loss_D_fake 0.001465
[992/5000][520/535][102319] Loss_D: -0.022501 Loss_G: 0.001764 Loss_D_real: -0.018166 Loss_D_fake 0.004335
[992/5000][525/535][102320] Loss_D: -0.023411 Loss_G: 0.004901 Loss_D_real: -0.032344 Loss_D_fake -0.008932
[992/5000][530/535][102321] Loss_D: -0.021710 Loss_G: 0.003877 Loss_D_real: -0.013645 Loss_D_fake 0.008065
[992/5000][535/535][102322] Loss_D: -0.023005 Loss_G: -0.004885 Loss_D_real: -0.023994 Loss_D_fake -0.000989
[993/5000][5/535][102323] Loss_D: -0.024063 Loss_G: -0.010424 Loss_D_real: -0.019289 Loss_D_fake 0.004774
[993/5000][10/535][102324] Loss_D: -0.024330 Loss_G: 0.017719 Loss_D_real: -0.024567 Loss_D_fake -0.000238
[993/5000][15/535][102325] Loss_D: -0.023650 Loss_G: -0.003658 Loss_D_real: -0.011708 Loss_D_fake 0.011942
[993/5000][20/535][102326] Loss_D: -0.023930 Loss_G: -0.004589 Loss_D_real: -0.015242 Loss_D_fake 0.008688
[993/5000][25/535][102327] Loss_D: -0.024764 Loss_G: 0.005342 Loss_D_real: -0.016376 Loss_D_fake 0.008388
[993/5000][30/535][102328] Loss_D: -0.022893 Loss_G: 0.004473 Loss_D_real: -0.013054 Loss_D_fake 0.009839
[993/5000][35/535][102329] Loss_D: -0.023186 Loss_G: 0.002714 Loss_D_real: -0.013455 Loss_D_fake 0.009730
[993/5000][40/535][102330] Loss_D: -0.024770 Loss_G: 0.013232 Loss_D_real: -0.018421 Loss_D_fake 0.006349
[993/5000][45/535][102331] Loss_D: -0.022444 Loss_G: -0.001883 Loss_D_real: -0.012842 Loss_D_fake 0.009601
[993/5000][50/535][102332] Loss_D: -0.022283 Loss_G: 0.002441 Loss_D_real: -0.025743 Loss_D_fake -0.003460
[993/5000][55/535][102333] Loss_D: -0.022767 Loss_G: 0.001623 Loss_D_real: -0.021651 Loss_D_fake 0.001116
[993/5000][60/535][102334] Loss_D: -0.024297 Loss_G: 0.013418 Loss_D_real: -0.028880 Loss_D_fake -0.004582
[993/5000][65/535][102335] Loss_D: -0.023011 Loss_G: 0.019982 Loss_D_real: -0.039994 Loss_D_fake -0.016983
[993/5000][70/535][102336] Loss_D: -0.023674 Loss_G: -0.001866 Loss_D_real: -0.018281 Loss_D_fake 0.005393
[993/5000][75/535][102337] Loss_D: -0.023117 Loss_G: -0.000659 Loss_D_real: -0.019156 Loss_D_fake 0.003960
[993/5000][80/535][102338] Loss_D: -0.023552 Loss_G: 0.019465 Loss_D_real: -0.024417 Loss_D_fake -0.000865
[993/5000][85/535][102339] Loss_D: -0.023071 Loss_G: -0.006985 Loss_D_real: -0.007393 Loss_D_fake 0.015678
[993/5000][90/535][102340] Loss_D: -0.022466 Loss_G: 0.001186 Loss_D_real: -0.008858 Loss_D_fake 0.013608
[993/5000][95/535][102341] Loss_D: -0.022880 Loss_G: 0.001636 Loss_D_real: -0.014400 Loss_D_fake 0.008480
[993/5000][100/535][102342] Loss_D: -0.021753 Loss_G: 0.030319 Loss_D_real: -0.017604 Loss_D_fake 0.004148
[993/5000][105/535][102343] Loss_D: -0.022896 Loss_G: 0.014078 Loss_D_real: -0.022245 Loss_D_fake 0.000651
[993/5000][110/535][102344] Loss_D: -0.022803 Loss_G: -0.002046 Loss_D_real: -0.013125 Loss_D_fake 0.009678
[993/5000][115/535][102345] Loss_D: -0.021481 Loss_G: 0.021207 Loss_D_real: -0.026747 Loss_D_fake -0.005266
[993/5000][120/535][102346] Loss_D: -0.021557 Loss_G: -0.013566 Loss_D_real: -0.001548 Loss_D_fake 0.020009
[993/5000][125/535][102347] Loss_D: -0.022899 Loss_G: 0.004139 Loss_D_real: -0.020815 Loss_D_fake 0.002084
[993/5000][130/535][102348] Loss_D: -0.021618 Loss_G: -0.003924 Loss_D_real: 0.002844 Loss_D_fake 0.024462
[993/5000][135/535][102349] Loss_D: -0.023137 Loss_G: 0.011596 Loss_D_real: -0.021306 Loss_D_fake 0.001831
[993/5000][140/535][102350] Loss_D: -0.022784 Loss_G: 0.003373 Loss_D_real: -0.006355 Loss_D_fake 0.016430
[993/5000][145/535][102351] Loss_D: -0.022914 Loss_G: 0.015556 Loss_D_real: -0.023022 Loss_D_fake -0.000108
[993/5000][150/535][102352] Loss_D: -0.023484 Loss_G: 0.008780 Loss_D_real: -0.019664 Loss_D_fake 0.003819
[993/5000][155/535][102353] Loss_D: -0.022721 Loss_G: 0.012382 Loss_D_real: -0.024602 Loss_D_fake -0.001881
[993/5000][160/535][102354] Loss_D: -0.022552 Loss_G: 0.017494 Loss_D_real: -0.028937 Loss_D_fake -0.006385
[993/5000][165/535][102355] Loss_D: -0.023220 Loss_G: -0.007331 Loss_D_real: -0.022276 Loss_D_fake 0.000945
[993/5000][170/535][102356] Loss_D: -0.022633 Loss_G: 0.013115 Loss_D_real: -0.023368 Loss_D_fake -0.000735
[993/5000][175/535][102357] Loss_D: -0.023379 Loss_G: 0.009889 Loss_D_real: -0.029600 Loss_D_fake -0.006221
[993/5000][180/535][102358] Loss_D: -0.021434 Loss_G: 0.026015 Loss_D_real: -0.031024 Loss_D_fake -0.009590
[993/5000][185/535][102359] Loss_D: -0.023630 Loss_G: -0.009371 Loss_D_real: -0.005265 Loss_D_fake 0.018365
[993/5000][190/535][102360] Loss_D: -0.022730 Loss_G: 0.021381 Loss_D_real: -0.021694 Loss_D_fake 0.001036
[993/5000][195/535][102361] Loss_D: -0.022870 Loss_G: -0.007268 Loss_D_real: -0.016182 Loss_D_fake 0.006688
[993/5000][200/535][102362] Loss_D: -0.024121 Loss_G: 0.021033 Loss_D_real: -0.035162 Loss_D_fake -0.011041
[993/5000][205/535][102363] Loss_D: -0.020674 Loss_G: 0.005431 Loss_D_real: -0.016318 Loss_D_fake 0.004356
[993/5000][210/535][102364] Loss_D: -0.021992 Loss_G: -0.006997 Loss_D_real: -0.013788 Loss_D_fake 0.008204
[993/5000][215/535][102365] Loss_D: -0.021202 Loss_G: 0.020605 Loss_D_real: -0.028151 Loss_D_fake -0.006948
[993/5000][220/535][102366] Loss_D: -0.021631 Loss_G: -0.009763 Loss_D_real: -0.021768 Loss_D_fake -0.000137
[993/5000][225/535][102367] Loss_D: -0.021500 Loss_G: 0.015626 Loss_D_real: -0.032005 Loss_D_fake -0.010505
[993/5000][230/535][102368] Loss_D: -0.024286 Loss_G: -0.013075 Loss_D_real: -0.015574 Loss_D_fake 0.008712
[993/5000][235/535][102369] Loss_D: -0.021000 Loss_G: -0.019110 Loss_D_real: 0.000318 Loss_D_fake 0.021319
[993/5000][240/535][102370] Loss_D: -0.023842 Loss_G: 0.020858 Loss_D_real: -0.009182 Loss_D_fake 0.014660
[993/5000][245/535][102371] Loss_D: -0.022274 Loss_G: 0.010894 Loss_D_real: -0.019942 Loss_D_fake 0.002332
[993/5000][250/535][102372] Loss_D: -0.021996 Loss_G: 0.001506 Loss_D_real: -0.028375 Loss_D_fake -0.006378
[993/5000][255/535][102373] Loss_D: -0.022219 Loss_G: 0.001563 Loss_D_real: -0.024346 Loss_D_fake -0.002127
[993/5000][260/535][102374] Loss_D: -0.024071 Loss_G: 0.014773 Loss_D_real: -0.027872 Loss_D_fake -0.003801
[993/5000][265/535][102375] Loss_D: -0.023830 Loss_G: 0.007057 Loss_D_real: -0.019400 Loss_D_fake 0.004430
[993/5000][270/535][102376] Loss_D: -0.022978 Loss_G: 0.025934 Loss_D_real: -0.037087 Loss_D_fake -0.014109
[993/5000][275/535][102377] Loss_D: -0.023904 Loss_G: 0.008428 Loss_D_real: -0.027203 Loss_D_fake -0.003299
[993/5000][280/535][102378] Loss_D: -0.024262 Loss_G: -0.001927 Loss_D_real: -0.019593 Loss_D_fake 0.004669
[993/5000][285/535][102379] Loss_D: -0.023464 Loss_G: 0.016573 Loss_D_real: -0.031272 Loss_D_fake -0.007808
[993/5000][290/535][102380] Loss_D: -0.022474 Loss_G: -0.022925 Loss_D_real: -0.009579 Loss_D_fake 0.012895
[993/5000][295/535][102381] Loss_D: -0.021992 Loss_G: 0.006893 Loss_D_real: -0.031778 Loss_D_fake -0.009786
[993/5000][300/535][102382] Loss_D: -0.023916 Loss_G: 0.002091 Loss_D_real: -0.017049 Loss_D_fake 0.006868
[993/5000][305/535][102383] Loss_D: -0.023959 Loss_G: 0.010075 Loss_D_real: -0.025463 Loss_D_fake -0.001504
[993/5000][310/535][102384] Loss_D: -0.022427 Loss_G: -0.005795 Loss_D_real: -0.009865 Loss_D_fake 0.012562
[993/5000][315/535][102385] Loss_D: -0.022639 Loss_G: 0.013617 Loss_D_real: -0.018316 Loss_D_fake 0.004323
[993/5000][320/535][102386] Loss_D: -0.023481 Loss_G: -0.004027 Loss_D_real: -0.007636 Loss_D_fake 0.015845
[993/5000][325/535][102387] Loss_D: -0.021611 Loss_G: 0.022199 Loss_D_real: -0.031524 Loss_D_fake -0.009913
[993/5000][330/535][102388] Loss_D: -0.022706 Loss_G: 0.011943 Loss_D_real: -0.023568 Loss_D_fake -0.000862
[993/5000][335/535][102389] Loss_D: -0.021802 Loss_G: 0.018646 Loss_D_real: -0.033248 Loss_D_fake -0.011445
[993/5000][340/535][102390] Loss_D: -0.023342 Loss_G: 0.018709 Loss_D_real: -0.020923 Loss_D_fake 0.002418
[993/5000][345/535][102391] Loss_D: -0.023923 Loss_G: 0.003151 Loss_D_real: -0.027524 Loss_D_fake -0.003601
[993/5000][350/535][102392] Loss_D: -0.022679 Loss_G: 0.004921 Loss_D_real: -0.016575 Loss_D_fake 0.006104
[993/5000][355/535][102393] Loss_D: -0.023146 Loss_G: 0.000443 Loss_D_real: -0.008661 Loss_D_fake 0.014485
[993/5000][360/535][102394] Loss_D: -0.021846 Loss_G: -0.009519 Loss_D_real: -0.020547 Loss_D_fake 0.001299
[993/5000][365/535][102395] Loss_D: -0.023049 Loss_G: 0.011841 Loss_D_real: -0.035125 Loss_D_fake -0.012076
[993/5000][370/535][102396] Loss_D: -0.022234 Loss_G: 0.011847 Loss_D_real: -0.022336 Loss_D_fake -0.000102
[993/5000][375/535][102397] Loss_D: -0.021914 Loss_G: -0.009732 Loss_D_real: -0.009036 Loss_D_fake 0.012879
[993/5000][380/535][102398] Loss_D: -0.021729 Loss_G: 0.022805 Loss_D_real: -0.033274 Loss_D_fake -0.011545
[993/5000][385/535][102399] Loss_D: -0.022564 Loss_G: 0.011579 Loss_D_real: -0.019069 Loss_D_fake 0.003495
[993/5000][390/535][102400] Loss_D: -0.023756 Loss_G: 0.004537 Loss_D_real: -0.027153 Loss_D_fake -0.003397
[993/5000][395/535][102401] Loss_D: -0.022514 Loss_G: 0.017169 Loss_D_real: -0.020496 Loss_D_fake 0.002018
[993/5000][400/535][102402] Loss_D: -0.023507 Loss_G: 0.003487 Loss_D_real: -0.019093 Loss_D_fake 0.004414
[993/5000][405/535][102403] Loss_D: -0.021640 Loss_G: 0.008259 Loss_D_real: -0.024693 Loss_D_fake -0.003053
[993/5000][410/535][102404] Loss_D: -0.023797 Loss_G: 0.000966 Loss_D_real: -0.017278 Loss_D_fake 0.006519
[993/5000][415/535][102405] Loss_D: -0.022476 Loss_G: 0.022840 Loss_D_real: -0.026228 Loss_D_fake -0.003752
[993/5000][420/535][102406] Loss_D: -0.023172 Loss_G: 0.019175 Loss_D_real: -0.027875 Loss_D_fake -0.004703
[993/5000][425/535][102407] Loss_D: -0.023207 Loss_G: 0.003893 Loss_D_real: -0.018174 Loss_D_fake 0.005033
[993/5000][430/535][102408] Loss_D: -0.023091 Loss_G: 0.007362 Loss_D_real: -0.023744 Loss_D_fake -0.000653
[993/5000][435/535][102409] Loss_D: -0.022975 Loss_G: -0.008192 Loss_D_real: -0.017409 Loss_D_fake 0.005566
[993/5000][440/535][102410] Loss_D: -0.024188 Loss_G: 0.013504 Loss_D_real: -0.025754 Loss_D_fake -0.001566
[993/5000][445/535][102411] Loss_D: -0.022830 Loss_G: -0.018243 Loss_D_real: -0.004889 Loss_D_fake 0.017940
[993/5000][450/535][102412] Loss_D: -0.022846 Loss_G: 0.010091 Loss_D_real: -0.017570 Loss_D_fake 0.005276
[993/5000][455/535][102413] Loss_D: -0.022768 Loss_G: 0.011681 Loss_D_real: -0.037726 Loss_D_fake -0.014959
[993/5000][460/535][102414] Loss_D: -0.024002 Loss_G: 0.008458 Loss_D_real: -0.016509 Loss_D_fake 0.007493
[993/5000][465/535][102415] Loss_D: -0.023145 Loss_G: -0.007189 Loss_D_real: -0.013367 Loss_D_fake 0.009778
[993/5000][470/535][102416] Loss_D: -0.023630 Loss_G: 0.009180 Loss_D_real: -0.030602 Loss_D_fake -0.006973
[993/5000][475/535][102417] Loss_D: -0.023472 Loss_G: 0.015591 Loss_D_real: -0.026186 Loss_D_fake -0.002714
[993/5000][480/535][102418] Loss_D: -0.023237 Loss_G: 0.017671 Loss_D_real: -0.037852 Loss_D_fake -0.014614
[993/5000][485/535][102419] Loss_D: -0.023722 Loss_G: -0.006316 Loss_D_real: -0.015098 Loss_D_fake 0.008624
[993/5000][490/535][102420] Loss_D: -0.024463 Loss_G: 0.014377 Loss_D_real: -0.029481 Loss_D_fake -0.005018
[993/5000][495/535][102421] Loss_D: -0.022014 Loss_G: 0.019129 Loss_D_real: -0.039717 Loss_D_fake -0.017703
[993/5000][500/535][102422] Loss_D: -0.023402 Loss_G: 0.002752 Loss_D_real: -0.018478 Loss_D_fake 0.004924
[993/5000][505/535][102423] Loss_D: -0.023065 Loss_G: -0.007397 Loss_D_real: -0.015597 Loss_D_fake 0.007468
[993/5000][510/535][102424] Loss_D: -0.023305 Loss_G: 0.014514 Loss_D_real: -0.016244 Loss_D_fake 0.007061
[993/5000][515/535][102425] Loss_D: -0.023486 Loss_G: 0.004573 Loss_D_real: -0.015578 Loss_D_fake 0.007908
[993/5000][520/535][102426] Loss_D: -0.022249 Loss_G: -0.016743 Loss_D_real: -0.008988 Loss_D_fake 0.013261
[993/5000][525/535][102427] Loss_D: -0.022018 Loss_G: 0.015937 Loss_D_real: -0.032766 Loss_D_fake -0.010748
[993/5000][530/535][102428] Loss_D: -0.022850 Loss_G: -0.003423 Loss_D_real: -0.015061 Loss_D_fake 0.007789
[993/5000][535/535][102429] Loss_D: -0.023470 Loss_G: -0.000149 Loss_D_real: -0.026603 Loss_D_fake -0.003133
[994/5000][5/535][102430] Loss_D: -0.024694 Loss_G: 0.020994 Loss_D_real: -0.018996 Loss_D_fake 0.005698
[994/5000][10/535][102431] Loss_D: -0.022757 Loss_G: -0.005339 Loss_D_real: -0.016780 Loss_D_fake 0.005977
[994/5000][15/535][102432] Loss_D: -0.022038 Loss_G: 0.001924 Loss_D_real: -0.019731 Loss_D_fake 0.002307
[994/5000][20/535][102433] Loss_D: -0.024384 Loss_G: -0.003146 Loss_D_real: -0.014111 Loss_D_fake 0.010273
[994/5000][25/535][102434] Loss_D: -0.021377 Loss_G: 0.021266 Loss_D_real: -0.030009 Loss_D_fake -0.008632
[994/5000][30/535][102435] Loss_D: -0.022541 Loss_G: 0.008537 Loss_D_real: -0.025357 Loss_D_fake -0.002816
[994/5000][35/535][102436] Loss_D: -0.021338 Loss_G: -0.006214 Loss_D_real: -0.007548 Loss_D_fake 0.013791
[994/5000][40/535][102437] Loss_D: -0.022768 Loss_G: 0.013210 Loss_D_real: -0.026956 Loss_D_fake -0.004188
[994/5000][45/535][102438] Loss_D: -0.024174 Loss_G: 0.007249 Loss_D_real: -0.014537 Loss_D_fake 0.009637
[994/5000][50/535][102439] Loss_D: -0.023766 Loss_G: 0.007745 Loss_D_real: -0.021520 Loss_D_fake 0.002246
[994/5000][55/535][102440] Loss_D: -0.021736 Loss_G: 0.020056 Loss_D_real: -0.030683 Loss_D_fake -0.008947
[994/5000][60/535][102441] Loss_D: -0.021278 Loss_G: 0.019414 Loss_D_real: -0.035408 Loss_D_fake -0.014129
[994/5000][65/535][102442] Loss_D: -0.022122 Loss_G: -0.004535 Loss_D_real: -0.014909 Loss_D_fake 0.007213
[994/5000][70/535][102443] Loss_D: -0.022970 Loss_G: -0.005533 Loss_D_real: -0.019793 Loss_D_fake 0.003177
[994/5000][75/535][102444] Loss_D: -0.021857 Loss_G: 0.018319 Loss_D_real: -0.027236 Loss_D_fake -0.005379
[994/5000][80/535][102445] Loss_D: -0.023728 Loss_G: -0.003435 Loss_D_real: -0.009378 Loss_D_fake 0.014350
[994/5000][85/535][102446] Loss_D: -0.023603 Loss_G: -0.000789 Loss_D_real: -0.004338 Loss_D_fake 0.019266
[994/5000][90/535][102447] Loss_D: -0.022441 Loss_G: -0.005460 Loss_D_real: -0.019098 Loss_D_fake 0.003342
[994/5000][95/535][102448] Loss_D: -0.023345 Loss_G: -0.003000 Loss_D_real: -0.017960 Loss_D_fake 0.005385
[994/5000][100/535][102449] Loss_D: -0.024226 Loss_G: 0.023039 Loss_D_real: -0.032422 Loss_D_fake -0.008195
[994/5000][105/535][102450] Loss_D: -0.021570 Loss_G: 0.014807 Loss_D_real: -0.025859 Loss_D_fake -0.004289
[994/5000][110/535][102451] Loss_D: -0.022374 Loss_G: 0.010406 Loss_D_real: -0.020853 Loss_D_fake 0.001520
[994/5000][115/535][102452] Loss_D: -0.023661 Loss_G: 0.008583 Loss_D_real: -0.024964 Loss_D_fake -0.001303
[994/5000][120/535][102453] Loss_D: -0.023574 Loss_G: 0.017918 Loss_D_real: -0.014642 Loss_D_fake 0.008932
[994/5000][125/535][102454] Loss_D: -0.022876 Loss_G: 0.009662 Loss_D_real: -0.029602 Loss_D_fake -0.006726
[994/5000][130/535][102455] Loss_D: -0.022614 Loss_G: -0.010890 Loss_D_real: -0.013415 Loss_D_fake 0.009199
[994/5000][135/535][102456] Loss_D: -0.022230 Loss_G: 0.013185 Loss_D_real: -0.021105 Loss_D_fake 0.001124
[994/5000][140/535][102457] Loss_D: -0.023302 Loss_G: 0.012691 Loss_D_real: -0.014588 Loss_D_fake 0.008714
[994/5000][145/535][102458] Loss_D: -0.024467 Loss_G: -0.005404 Loss_D_real: -0.017997 Loss_D_fake 0.006470
[994/5000][150/535][102459] Loss_D: -0.023719 Loss_G: -0.002061 Loss_D_real: -0.025961 Loss_D_fake -0.002242
[994/5000][155/535][102460] Loss_D: -0.023878 Loss_G: 0.002578 Loss_D_real: -0.011804 Loss_D_fake 0.012073
[994/5000][160/535][102461] Loss_D: -0.023604 Loss_G: 0.004259 Loss_D_real: -0.021868 Loss_D_fake 0.001736
[994/5000][165/535][102462] Loss_D: -0.022517 Loss_G: -0.018596 Loss_D_real: -0.009312 Loss_D_fake 0.013205
[994/5000][170/535][102463] Loss_D: -0.024183 Loss_G: 0.015798 Loss_D_real: -0.030798 Loss_D_fake -0.006615
[994/5000][175/535][102464] Loss_D: -0.024573 Loss_G: 0.000854 Loss_D_real: -0.015724 Loss_D_fake 0.008850
[994/5000][180/535][102465] Loss_D: -0.023343 Loss_G: 0.000743 Loss_D_real: -0.029064 Loss_D_fake -0.005721
[994/5000][185/535][102466] Loss_D: -0.022656 Loss_G: 0.008602 Loss_D_real: -0.023911 Loss_D_fake -0.001255
[994/5000][190/535][102467] Loss_D: -0.021968 Loss_G: -0.011601 Loss_D_real: -0.000004 Loss_D_fake 0.021964
[994/5000][195/535][102468] Loss_D: -0.022919 Loss_G: 0.010217 Loss_D_real: -0.024946 Loss_D_fake -0.002027
[994/5000][200/535][102469] Loss_D: -0.021517 Loss_G: -0.015312 Loss_D_real: 0.005294 Loss_D_fake 0.026812
[994/5000][205/535][102470] Loss_D: -0.021930 Loss_G: 0.000036 Loss_D_real: -0.023094 Loss_D_fake -0.001164
[994/5000][210/535][102471] Loss_D: -0.024034 Loss_G: 0.008243 Loss_D_real: -0.020719 Loss_D_fake 0.003315
[994/5000][215/535][102472] Loss_D: -0.021831 Loss_G: 0.005506 Loss_D_real: -0.018782 Loss_D_fake 0.003049
[994/5000][220/535][102473] Loss_D: -0.023614 Loss_G: -0.009659 Loss_D_real: -0.016652 Loss_D_fake 0.006962
[994/5000][225/535][102474] Loss_D: -0.023118 Loss_G: 0.020274 Loss_D_real: -0.025865 Loss_D_fake -0.002747
[994/5000][230/535][102475] Loss_D: -0.022708 Loss_G: -0.002980 Loss_D_real: -0.016914 Loss_D_fake 0.005794
[994/5000][235/535][102476] Loss_D: -0.022078 Loss_G: 0.001484 Loss_D_real: -0.006146 Loss_D_fake 0.015932
[994/5000][240/535][102477] Loss_D: -0.022400 Loss_G: 0.010070 Loss_D_real: -0.019262 Loss_D_fake 0.003139
[994/5000][245/535][102478] Loss_D: -0.023153 Loss_G: 0.006967 Loss_D_real: -0.025251 Loss_D_fake -0.002099
[994/5000][250/535][102479] Loss_D: -0.022270 Loss_G: 0.000446 Loss_D_real: -0.018650 Loss_D_fake 0.003620
[994/5000][255/535][102480] Loss_D: -0.023725 Loss_G: -0.004019 Loss_D_real: -0.026114 Loss_D_fake -0.002389
[994/5000][260/535][102481] Loss_D: -0.021951 Loss_G: 0.004757 Loss_D_real: -0.020003 Loss_D_fake 0.001948
[994/5000][265/535][102482] Loss_D: -0.024214 Loss_G: 0.003933 Loss_D_real: -0.024295 Loss_D_fake -0.000081
[994/5000][270/535][102483] Loss_D: -0.022890 Loss_G: 0.014682 Loss_D_real: -0.040004 Loss_D_fake -0.017114
[994/5000][275/535][102484] Loss_D: -0.022015 Loss_G: 0.000136 Loss_D_real: -0.016446 Loss_D_fake 0.005569
[994/5000][280/535][102485] Loss_D: -0.022111 Loss_G: 0.020353 Loss_D_real: -0.034563 Loss_D_fake -0.012452
[994/5000][285/535][102486] Loss_D: -0.022547 Loss_G: -0.008327 Loss_D_real: -0.010599 Loss_D_fake 0.011947
[994/5000][290/535][102487] Loss_D: -0.022566 Loss_G: -0.001865 Loss_D_real: -0.008856 Loss_D_fake 0.013710
[994/5000][295/535][102488] Loss_D: -0.022897 Loss_G: 0.010097 Loss_D_real: -0.027704 Loss_D_fake -0.004806
[994/5000][300/535][102489] Loss_D: -0.023490 Loss_G: -0.001316 Loss_D_real: -0.019466 Loss_D_fake 0.004024
[994/5000][305/535][102490] Loss_D: -0.023570 Loss_G: 0.008214 Loss_D_real: -0.018399 Loss_D_fake 0.005171
[994/5000][310/535][102491] Loss_D: -0.022749 Loss_G: -0.003576 Loss_D_real: -0.004789 Loss_D_fake 0.017960
[994/5000][315/535][102492] Loss_D: -0.021708 Loss_G: -0.006718 Loss_D_real: -0.000386 Loss_D_fake 0.021322
[994/5000][320/535][102493] Loss_D: -0.022427 Loss_G: 0.014867 Loss_D_real: -0.029658 Loss_D_fake -0.007232
[994/5000][325/535][102494] Loss_D: -0.024000 Loss_G: 0.004954 Loss_D_real: -0.028643 Loss_D_fake -0.004643
[994/5000][330/535][102495] Loss_D: -0.023714 Loss_G: 0.016603 Loss_D_real: -0.031000 Loss_D_fake -0.007286
[994/5000][335/535][102496] Loss_D: -0.022559 Loss_G: 0.000096 Loss_D_real: -0.019982 Loss_D_fake 0.002577
[994/5000][340/535][102497] Loss_D: -0.020670 Loss_G: -0.000470 Loss_D_real: -0.015933 Loss_D_fake 0.004737
[994/5000][345/535][102498] Loss_D: -0.022539 Loss_G: 0.002058 Loss_D_real: -0.019370 Loss_D_fake 0.003168
[994/5000][350/535][102499] Loss_D: -0.022622 Loss_G: 0.015571 Loss_D_real: -0.022372 Loss_D_fake 0.000251
[994/5000][355/535][102500] Loss_D: -0.022748 Loss_G: 0.002001 Loss_D_real: -0.009521 Loss_D_fake 0.013227
[994/5000][455/535][102501] Loss_D: -0.022092 Loss_G: -0.016491 Loss_D_real: 0.009698 Loss_D_fake 0.031790
[994/5000][460/535][102502] Loss_D: -0.023926 Loss_G: 0.013376 Loss_D_real: -0.028279 Loss_D_fake -0.004353
[994/5000][465/535][102503] Loss_D: -0.021878 Loss_G: 0.009460 Loss_D_real: -0.029451 Loss_D_fake -0.007572
[994/5000][470/535][102504] Loss_D: -0.023023 Loss_G: 0.013104 Loss_D_real: -0.031547 Loss_D_fake -0.008523
[994/5000][475/535][102505] Loss_D: -0.023248 Loss_G: 0.015759 Loss_D_real: -0.025024 Loss_D_fake -0.001775
[994/5000][480/535][102506] Loss_D: -0.024067 Loss_G: 0.009107 Loss_D_real: -0.023514 Loss_D_fake 0.000553
[994/5000][485/535][102507] Loss_D: -0.020694 Loss_G: 0.024468 Loss_D_real: -0.035671 Loss_D_fake -0.014977
[994/5000][490/535][102508] Loss_D: -0.023117 Loss_G: -0.003476 Loss_D_real: -0.015478 Loss_D_fake 0.007639
[994/5000][495/535][102509] Loss_D: -0.022134 Loss_G: 0.015111 Loss_D_real: -0.026963 Loss_D_fake -0.004829
[994/5000][500/535][102510] Loss_D: -0.022953 Loss_G: -0.001166 Loss_D_real: -0.019791 Loss_D_fake 0.003162
[994/5000][505/535][102511] Loss_D: -0.022983 Loss_G: 0.001228 Loss_D_real: -0.025741 Loss_D_fake -0.002759
[994/5000][510/535][102512] Loss_D: -0.023197 Loss_G: 0.015853 Loss_D_real: -0.020742 Loss_D_fake 0.002455
[994/5000][515/535][102513] Loss_D: -0.022175 Loss_G: 0.000889 Loss_D_real: -0.010092 Loss_D_fake 0.012083
[994/5000][520/535][102514] Loss_D: -0.020923 Loss_G: -0.006528 Loss_D_real: -0.008837 Loss_D_fake 0.012086
[994/5000][525/535][102515] Loss_D: -0.022414 Loss_G: -0.011629 Loss_D_real: -0.018784 Loss_D_fake 0.003630
[994/5000][530/535][102516] Loss_D: -0.022302 Loss_G: 0.024876 Loss_D_real: -0.026517 Loss_D_fake -0.004216
[994/5000][535/535][102517] Loss_D: -0.019055 Loss_G: 0.018299 Loss_D_real: -0.009224 Loss_D_fake 0.009831
[995/5000][5/535][102518] Loss_D: -0.021383 Loss_G: 0.021781 Loss_D_real: -0.035344 Loss_D_fake -0.013962
[995/5000][10/535][102519] Loss_D: -0.022691 Loss_G: 0.020247 Loss_D_real: -0.031201 Loss_D_fake -0.008510
[995/5000][15/535][102520] Loss_D: -0.023418 Loss_G: 0.005903 Loss_D_real: -0.014948 Loss_D_fake 0.008470
[995/5000][20/535][102521] Loss_D: -0.021898 Loss_G: 0.002443 Loss_D_real: -0.020159 Loss_D_fake 0.001739
[995/5000][25/535][102522] Loss_D: -0.022548 Loss_G: -0.000532 Loss_D_real: -0.015133 Loss_D_fake 0.007415
[995/5000][30/535][102523] Loss_D: -0.021574 Loss_G: 0.008324 Loss_D_real: -0.023336 Loss_D_fake -0.001763
[995/5000][35/535][102524] Loss_D: -0.023675 Loss_G: 0.004541 Loss_D_real: -0.019254 Loss_D_fake 0.004422
[995/5000][40/535][102525] Loss_D: -0.023115 Loss_G: 0.006944 Loss_D_real: -0.017453 Loss_D_fake 0.005662
[995/5000][45/535][102526] Loss_D: -0.022712 Loss_G: 0.013986 Loss_D_real: -0.015369 Loss_D_fake 0.007343
[995/5000][50/535][102527] Loss_D: -0.022704 Loss_G: 0.016125 Loss_D_real: -0.033894 Loss_D_fake -0.011191
[995/5000][55/535][102528] Loss_D: -0.022233 Loss_G: 0.009779 Loss_D_real: -0.008308 Loss_D_fake 0.013925
[995/5000][60/535][102529] Loss_D: -0.022232 Loss_G: 0.008173 Loss_D_real: -0.016861 Loss_D_fake 0.005371
[995/5000][65/535][102530] Loss_D: -0.021747 Loss_G: 0.013888 Loss_D_real: -0.031391 Loss_D_fake -0.009644
[995/5000][70/535][102531] Loss_D: -0.021989 Loss_G: 0.015182 Loss_D_real: -0.038101 Loss_D_fake -0.016112
[995/5000][75/535][102532] Loss_D: -0.024060 Loss_G: 0.009652 Loss_D_real: -0.025213 Loss_D_fake -0.001153
[995/5000][80/535][102533] Loss_D: -0.022225 Loss_G: 0.023794 Loss_D_real: -0.041640 Loss_D_fake -0.019415
[995/5000][85/535][102534] Loss_D: -0.023166 Loss_G: 0.009031 Loss_D_real: -0.013510 Loss_D_fake 0.009656
[995/5000][90/535][102535] Loss_D: -0.023785 Loss_G: -0.003056 Loss_D_real: -0.013669 Loss_D_fake 0.010116
[995/5000][95/535][102536] Loss_D: -0.022435 Loss_G: 0.018271 Loss_D_real: -0.022881 Loss_D_fake -0.000447
[995/5000][100/535][102537] Loss_D: -0.022644 Loss_G: 0.014129 Loss_D_real: -0.020305 Loss_D_fake 0.002339
[995/5000][105/535][102538] Loss_D: -0.020866 Loss_G: 0.027763 Loss_D_real: -0.035274 Loss_D_fake -0.014407
[995/5000][110/535][102539] Loss_D: -0.022536 Loss_G: 0.001015 Loss_D_real: -0.014899 Loss_D_fake 0.007637
[995/5000][115/535][102540] Loss_D: -0.021846 Loss_G: 0.021258 Loss_D_real: -0.025883 Loss_D_fake -0.004037
[995/5000][120/535][102541] Loss_D: -0.023181 Loss_G: 0.003049 Loss_D_real: -0.014406 Loss_D_fake 0.008775
[995/5000][125/535][102542] Loss_D: -0.023282 Loss_G: 0.008287 Loss_D_real: -0.019648 Loss_D_fake 0.003634
[995/5000][130/535][102543] Loss_D: -0.022436 Loss_G: -0.011333 Loss_D_real: -0.011850 Loss_D_fake 0.010586
[995/5000][135/535][102544] Loss_D: -0.022322 Loss_G: 0.018915 Loss_D_real: -0.031004 Loss_D_fake -0.008682
[995/5000][140/535][102545] Loss_D: -0.022734 Loss_G: 0.003139 Loss_D_real: -0.013206 Loss_D_fake 0.009529
[995/5000][145/535][102546] Loss_D: -0.022792 Loss_G: 0.009359 Loss_D_real: -0.020511 Loss_D_fake 0.002281
[995/5000][150/535][102547] Loss_D: -0.022011 Loss_G: -0.011044 Loss_D_real: -0.005138 Loss_D_fake 0.016873
[995/5000][155/535][102548] Loss_D: -0.022073 Loss_G: 0.015154 Loss_D_real: -0.030651 Loss_D_fake -0.008578
[995/5000][160/535][102549] Loss_D: -0.023226 Loss_G: 0.018991 Loss_D_real: -0.034978 Loss_D_fake -0.011752
[995/5000][165/535][102550] Loss_D: -0.022268 Loss_G: 0.020203 Loss_D_real: -0.029598 Loss_D_fake -0.007330
[995/5000][170/535][102551] Loss_D: -0.024196 Loss_G: 0.007591 Loss_D_real: -0.023226 Loss_D_fake 0.000969
[995/5000][175/535][102552] Loss_D: -0.020716 Loss_G: 0.022902 Loss_D_real: -0.017584 Loss_D_fake 0.003132
[995/5000][180/535][102553] Loss_D: -0.022869 Loss_G: 0.013975 Loss_D_real: -0.020295 Loss_D_fake 0.002574
[995/5000][185/535][102554] Loss_D: -0.024284 Loss_G: 0.007907 Loss_D_real: -0.009890 Loss_D_fake 0.014394
[995/5000][190/535][102555] Loss_D: -0.022855 Loss_G: 0.002827 Loss_D_real: -0.017978 Loss_D_fake 0.004877
[995/5000][195/535][102556] Loss_D: -0.022169 Loss_G: -0.009792 Loss_D_real: -0.009797 Loss_D_fake 0.012372
[995/5000][200/535][102557] Loss_D: -0.023388 Loss_G: -0.005183 Loss_D_real: 0.004536 Loss_D_fake 0.027925
[995/5000][205/535][102558] Loss_D: -0.024626 Loss_G: 0.019645 Loss_D_real: -0.019002 Loss_D_fake 0.005624
[995/5000][210/535][102559] Loss_D: -0.021954 Loss_G: 0.027740 Loss_D_real: -0.024746 Loss_D_fake -0.002792
[995/5000][215/535][102560] Loss_D: -0.022205 Loss_G: -0.003820 Loss_D_real: -0.011000 Loss_D_fake 0.011206
[995/5000][220/535][102561] Loss_D: -0.023047 Loss_G: 0.001701 Loss_D_real: -0.011546 Loss_D_fake 0.011501
[995/5000][225/535][102562] Loss_D: -0.021475 Loss_G: -0.004725 Loss_D_real: -0.007246 Loss_D_fake 0.014229
[995/5000][230/535][102563] Loss_D: -0.022730 Loss_G: 0.001572 Loss_D_real: -0.018505 Loss_D_fake 0.004224
[995/5000][235/535][102564] Loss_D: -0.023025 Loss_G: -0.012293 Loss_D_real: -0.002960 Loss_D_fake 0.020064
[995/5000][240/535][102565] Loss_D: -0.021714 Loss_G: 0.030384 Loss_D_real: -0.027302 Loss_D_fake -0.005587
[995/5000][245/535][102566] Loss_D: -0.022982 Loss_G: 0.002927 Loss_D_real: -0.009809 Loss_D_fake 0.013174
[995/5000][250/535][102567] Loss_D: -0.023172 Loss_G: 0.009491 Loss_D_real: -0.028503 Loss_D_fake -0.005331
[995/5000][255/535][102568] Loss_D: -0.023458 Loss_G: -0.015773 Loss_D_real: -0.008621 Loss_D_fake 0.014836
[995/5000][260/535][102569] Loss_D: -0.022587 Loss_G: 0.025403 Loss_D_real: -0.028099 Loss_D_fake -0.005513
[995/5000][265/535][102570] Loss_D: -0.023170 Loss_G: 0.005004 Loss_D_real: -0.016271 Loss_D_fake 0.006898
[995/5000][270/535][102571] Loss_D: -0.023217 Loss_G: 0.003902 Loss_D_real: -0.026588 Loss_D_fake -0.003371
[995/5000][275/535][102572] Loss_D: -0.023489 Loss_G: 0.013927 Loss_D_real: -0.028112 Loss_D_fake -0.004623
[995/5000][280/535][102573] Loss_D: -0.022923 Loss_G: -0.014711 Loss_D_real: -0.000862 Loss_D_fake 0.022061
[995/5000][285/535][102574] Loss_D: -0.023717 Loss_G: 0.008781 Loss_D_real: -0.023585 Loss_D_fake 0.000132
[995/5000][290/535][102575] Loss_D: -0.023813 Loss_G: 0.012338 Loss_D_real: -0.018669 Loss_D_fake 0.005144
[995/5000][295/535][102576] Loss_D: -0.023910 Loss_G: 0.020337 Loss_D_real: -0.016726 Loss_D_fake 0.007184
[995/5000][300/535][102577] Loss_D: -0.024131 Loss_G: 0.004643 Loss_D_real: -0.018511 Loss_D_fake 0.005620
[995/5000][305/535][102578] Loss_D: -0.022045 Loss_G: 0.015114 Loss_D_real: -0.035998 Loss_D_fake -0.013953
[995/5000][310/535][102579] Loss_D: -0.023234 Loss_G: 0.006459 Loss_D_real: -0.030673 Loss_D_fake -0.007440
[995/5000][315/535][102580] Loss_D: -0.021712 Loss_G: -0.000849 Loss_D_real: -0.013812 Loss_D_fake 0.007900
[995/5000][320/535][102581] Loss_D: -0.023819 Loss_G: 0.010431 Loss_D_real: -0.015650 Loss_D_fake 0.008169
[995/5000][325/535][102582] Loss_D: -0.023103 Loss_G: 0.001303 Loss_D_real: -0.015671 Loss_D_fake 0.007432
[995/5000][330/535][102583] Loss_D: -0.022621 Loss_G: -0.011277 Loss_D_real: -0.012950 Loss_D_fake 0.009671
[995/5000][335/535][102584] Loss_D: -0.022654 Loss_G: 0.001261 Loss_D_real: -0.017726 Loss_D_fake 0.004929
[995/5000][340/535][102585] Loss_D: -0.022929 Loss_G: 0.015154 Loss_D_real: -0.024704 Loss_D_fake -0.001775
[995/5000][345/535][102586] Loss_D: -0.022659 Loss_G: 0.001183 Loss_D_real: -0.012755 Loss_D_fake 0.009904
[995/5000][350/535][102587] Loss_D: -0.022848 Loss_G: -0.000907 Loss_D_real: -0.013606 Loss_D_fake 0.009243
[995/5000][355/535][102588] Loss_D: -0.021647 Loss_G: 0.003700 Loss_D_real: -0.027086 Loss_D_fake -0.005439
[995/5000][360/535][102589] Loss_D: -0.022907 Loss_G: 0.020196 Loss_D_real: -0.020205 Loss_D_fake 0.002703
[995/5000][365/535][102590] Loss_D: -0.022585 Loss_G: -0.020904 Loss_D_real: -0.006078 Loss_D_fake 0.016507
[995/5000][370/535][102591] Loss_D: -0.023101 Loss_G: 0.011477 Loss_D_real: -0.022961 Loss_D_fake 0.000140
[995/5000][375/535][102592] Loss_D: -0.023724 Loss_G: 0.014635 Loss_D_real: -0.031798 Loss_D_fake -0.008074
[995/5000][380/535][102593] Loss_D: -0.022582 Loss_G: -0.002597 Loss_D_real: -0.018384 Loss_D_fake 0.004199
[995/5000][385/535][102594] Loss_D: -0.022791 Loss_G: 0.014483 Loss_D_real: -0.026925 Loss_D_fake -0.004134
[995/5000][390/535][102595] Loss_D: -0.023752 Loss_G: 0.003571 Loss_D_real: -0.002297 Loss_D_fake 0.021455
[995/5000][395/535][102596] Loss_D: -0.023187 Loss_G: 0.013684 Loss_D_real: -0.033343 Loss_D_fake -0.010156
[995/5000][400/535][102597] Loss_D: -0.024645 Loss_G: 0.019992 Loss_D_real: -0.026329 Loss_D_fake -0.001684
[995/5000][405/535][102598] Loss_D: -0.022782 Loss_G: -0.000167 Loss_D_real: -0.019478 Loss_D_fake 0.003304
[995/5000][410/535][102599] Loss_D: -0.023273 Loss_G: 0.009423 Loss_D_real: -0.036305 Loss_D_fake -0.013032
[995/5000][415/535][102600] Loss_D: -0.023159 Loss_G: -0.001548 Loss_D_real: -0.006728 Loss_D_fake 0.016431
[995/5000][420/535][102601] Loss_D: -0.022705 Loss_G: -0.017352 Loss_D_real: -0.017511 Loss_D_fake 0.005195
[995/5000][425/535][102602] Loss_D: -0.022370 Loss_G: 0.003480 Loss_D_real: -0.022036 Loss_D_fake 0.000334
[995/5000][430/535][102603] Loss_D: -0.021666 Loss_G: 0.019770 Loss_D_real: -0.024470 Loss_D_fake -0.002804
[995/5000][435/535][102604] Loss_D: -0.023811 Loss_G: 0.011824 Loss_D_real: -0.016027 Loss_D_fake 0.007784
[995/5000][440/535][102605] Loss_D: -0.023495 Loss_G: 0.009950 Loss_D_real: -0.018957 Loss_D_fake 0.004538
[995/5000][445/535][102606] Loss_D: -0.023789 Loss_G: -0.007188 Loss_D_real: -0.008247 Loss_D_fake 0.015541
[995/5000][450/535][102607] Loss_D: -0.022463 Loss_G: 0.011904 Loss_D_real: -0.027464 Loss_D_fake -0.005001
[995/5000][455/535][102608] Loss_D: -0.022930 Loss_G: 0.000341 Loss_D_real: -0.012152 Loss_D_fake 0.010777
[995/5000][460/535][102609] Loss_D: -0.023019 Loss_G: 0.007472 Loss_D_real: -0.011219 Loss_D_fake 0.011799
[995/5000][465/535][102610] Loss_D: -0.022877 Loss_G: -0.000783 Loss_D_real: -0.016672 Loss_D_fake 0.006205
[995/5000][470/535][102611] Loss_D: -0.023201 Loss_G: 0.023993 Loss_D_real: -0.029391 Loss_D_fake -0.006189
[995/5000][475/535][102612] Loss_D: -0.022986 Loss_G: 0.009993 Loss_D_real: -0.020090 Loss_D_fake 0.002895
[995/5000][480/535][102613] Loss_D: -0.022727 Loss_G: 0.018943 Loss_D_real: -0.021739 Loss_D_fake 0.000988
[995/5000][485/535][102614] Loss_D: -0.022238 Loss_G: 0.022118 Loss_D_real: -0.026541 Loss_D_fake -0.004303
[995/5000][490/535][102615] Loss_D: -0.022656 Loss_G: 0.003114 Loss_D_real: -0.012349 Loss_D_fake 0.010307
[995/5000][495/535][102616] Loss_D: -0.022244 Loss_G: 0.011569 Loss_D_real: -0.022856 Loss_D_fake -0.000613
[995/5000][500/535][102617] Loss_D: -0.024152 Loss_G: 0.004006 Loss_D_real: -0.012361 Loss_D_fake 0.011791
[995/5000][505/535][102618] Loss_D: -0.021187 Loss_G: 0.016537 Loss_D_real: -0.030919 Loss_D_fake -0.009732
[995/5000][510/535][102619] Loss_D: -0.023461 Loss_G: -0.017434 Loss_D_real: -0.006185 Loss_D_fake 0.017277
[995/5000][515/535][102620] Loss_D: -0.022933 Loss_G: 0.016228 Loss_D_real: -0.030494 Loss_D_fake -0.007561
[995/5000][520/535][102621] Loss_D: -0.023295 Loss_G: -0.008517 Loss_D_real: -0.014746 Loss_D_fake 0.008550
[995/5000][525/535][102622] Loss_D: -0.022380 Loss_G: 0.018360 Loss_D_real: -0.035475 Loss_D_fake -0.013094
[995/5000][530/535][102623] Loss_D: -0.023245 Loss_G: 0.000979 Loss_D_real: -0.021979 Loss_D_fake 0.001266
[995/5000][535/535][102624] Loss_D: -0.020488 Loss_G: 0.038531 Loss_D_real: -0.023147 Loss_D_fake -0.002659
[996/5000][5/535][102625] Loss_D: -0.022075 Loss_G: 0.001265 Loss_D_real: -0.020601 Loss_D_fake 0.001474
[996/5000][10/535][102626] Loss_D: -0.021638 Loss_G: 0.018847 Loss_D_real: -0.023642 Loss_D_fake -0.002003
[996/5000][15/535][102627] Loss_D: -0.024266 Loss_G: 0.022814 Loss_D_real: -0.028694 Loss_D_fake -0.004429
[996/5000][20/535][102628] Loss_D: -0.021202 Loss_G: 0.001197 Loss_D_real: -0.013560 Loss_D_fake 0.007642
[996/5000][25/535][102629] Loss_D: -0.023138 Loss_G: 0.008536 Loss_D_real: -0.030702 Loss_D_fake -0.007564
[996/5000][30/535][102630] Loss_D: -0.021701 Loss_G: 0.001060 Loss_D_real: -0.020864 Loss_D_fake 0.000837
[996/5000][35/535][102631] Loss_D: -0.022124 Loss_G: 0.014705 Loss_D_real: -0.030673 Loss_D_fake -0.008549
[996/5000][40/535][102632] Loss_D: -0.024040 Loss_G: 0.010579 Loss_D_real: -0.019786 Loss_D_fake 0.004253
[996/5000][45/535][102633] Loss_D: -0.021333 Loss_G: -0.008248 Loss_D_real: 0.002845 Loss_D_fake 0.024178
[996/5000][50/535][102634] Loss_D: -0.022293 Loss_G: 0.021371 Loss_D_real: -0.033044 Loss_D_fake -0.010751
[996/5000][55/535][102635] Loss_D: -0.023819 Loss_G: 0.022005 Loss_D_real: -0.024986 Loss_D_fake -0.001168
[996/5000][60/535][102636] Loss_D: -0.023286 Loss_G: -0.006187 Loss_D_real: -0.014753 Loss_D_fake 0.008533
[996/5000][65/535][102637] Loss_D: -0.023278 Loss_G: -0.001776 Loss_D_real: -0.010578 Loss_D_fake 0.012700
[996/5000][70/535][102638] Loss_D: -0.021704 Loss_G: -0.003629 Loss_D_real: -0.005630 Loss_D_fake 0.016074
[996/5000][75/535][102639] Loss_D: -0.023752 Loss_G: 0.016554 Loss_D_real: -0.024594 Loss_D_fake -0.000841
[996/5000][80/535][102640] Loss_D: -0.022736 Loss_G: 0.001542 Loss_D_real: -0.016811 Loss_D_fake 0.005925
[996/5000][85/535][102641] Loss_D: -0.022470 Loss_G: 0.012353 Loss_D_real: -0.026447 Loss_D_fake -0.003976
[996/5000][90/535][102642] Loss_D: -0.022880 Loss_G: -0.012053 Loss_D_real: -0.007660 Loss_D_fake 0.015219
[996/5000][95/535][102643] Loss_D: -0.023487 Loss_G: -0.010351 Loss_D_real: -0.004527 Loss_D_fake 0.018960
[996/5000][100/535][102644] Loss_D: -0.023768 Loss_G: 0.000567 Loss_D_real: -0.009303 Loss_D_fake 0.014465
[996/5000][105/535][102645] Loss_D: -0.023725 Loss_G: 0.018134 Loss_D_real: -0.022332 Loss_D_fake 0.001393
[996/5000][110/535][102646] Loss_D: -0.022691 Loss_G: -0.005454 Loss_D_real: -0.010031 Loss_D_fake 0.012660
[996/5000][115/535][102647] Loss_D: -0.022991 Loss_G: 0.025858 Loss_D_real: -0.021167 Loss_D_fake 0.001824
[996/5000][120/535][102648] Loss_D: -0.022441 Loss_G: 0.023224 Loss_D_real: -0.030930 Loss_D_fake -0.008489
[996/5000][125/535][102649] Loss_D: -0.020736 Loss_G: 0.029066 Loss_D_real: -0.038466 Loss_D_fake -0.017730
[996/5000][130/535][102650] Loss_D: -0.023233 Loss_G: 0.011597 Loss_D_real: -0.018503 Loss_D_fake 0.004730
[996/5000][135/535][102651] Loss_D: -0.024760 Loss_G: 0.018074 Loss_D_real: -0.032819 Loss_D_fake -0.008058
[996/5000][140/535][102652] Loss_D: -0.023742 Loss_G: -0.001787 Loss_D_real: -0.014931 Loss_D_fake 0.008810
[996/5000][145/535][102653] Loss_D: -0.023400 Loss_G: -0.007672 Loss_D_real: -0.018926 Loss_D_fake 0.004474
[996/5000][150/535][102654] Loss_D: -0.021942 Loss_G: 0.005769 Loss_D_real: -0.018422 Loss_D_fake 0.003519
[996/5000][155/535][102655] Loss_D: -0.024022 Loss_G: 0.015168 Loss_D_real: -0.031617 Loss_D_fake -0.007594
[996/5000][160/535][102656] Loss_D: -0.022763 Loss_G: -0.001834 Loss_D_real: -0.016256 Loss_D_fake 0.006507
[996/5000][165/535][102657] Loss_D: -0.022612 Loss_G: 0.016928 Loss_D_real: -0.023403 Loss_D_fake -0.000791
[996/5000][170/535][102658] Loss_D: -0.022100 Loss_G: 0.021323 Loss_D_real: -0.024761 Loss_D_fake -0.002661
[996/5000][175/535][102659] Loss_D: -0.023329 Loss_G: 0.006352 Loss_D_real: -0.017071 Loss_D_fake 0.006258
[996/5000][180/535][102660] Loss_D: -0.023117 Loss_G: -0.012029 Loss_D_real: -0.003655 Loss_D_fake 0.019462
[996/5000][185/535][102661] Loss_D: -0.022785 Loss_G: 0.007730 Loss_D_real: -0.031783 Loss_D_fake -0.008998
[996/5000][190/535][102662] Loss_D: -0.022737 Loss_G: 0.004666 Loss_D_real: -0.022581 Loss_D_fake 0.000156
[996/5000][195/535][102663] Loss_D: -0.020913 Loss_G: -0.001398 Loss_D_real: 0.001983 Loss_D_fake 0.022896
[996/5000][200/535][102664] Loss_D: -0.024398 Loss_G: 0.011562 Loss_D_real: -0.022978 Loss_D_fake 0.001420
[996/5000][205/535][102665] Loss_D: -0.023295 Loss_G: 0.003739 Loss_D_real: -0.021145 Loss_D_fake 0.002150
[996/5000][210/535][102666] Loss_D: -0.023341 Loss_G: 0.001165 Loss_D_real: -0.013871 Loss_D_fake 0.009470
[996/5000][215/535][102667] Loss_D: -0.022033 Loss_G: -0.006925 Loss_D_real: -0.010067 Loss_D_fake 0.011966
[996/5000][220/535][102668] Loss_D: -0.023294 Loss_G: 0.009911 Loss_D_real: -0.019547 Loss_D_fake 0.003746
[996/5000][225/535][102669] Loss_D: -0.022051 Loss_G: 0.006768 Loss_D_real: -0.021292 Loss_D_fake 0.000758
[996/5000][230/535][102670] Loss_D: -0.023373 Loss_G: 0.015706 Loss_D_real: -0.031256 Loss_D_fake -0.007882
[996/5000][235/535][102671] Loss_D: -0.022450 Loss_G: 0.030402 Loss_D_real: -0.025412 Loss_D_fake -0.002962
[996/5000][240/535][102672] Loss_D: -0.024766 Loss_G: 0.008199 Loss_D_real: -0.019399 Loss_D_fake 0.005367
[996/5000][245/535][102673] Loss_D: -0.022993 Loss_G: -0.002216 Loss_D_real: -0.012129 Loss_D_fake 0.010864
[996/5000][250/535][102674] Loss_D: -0.023832 Loss_G: -0.002734 Loss_D_real: -0.009811 Loss_D_fake 0.014021
[996/5000][255/535][102675] Loss_D: -0.021969 Loss_G: -0.013167 Loss_D_real: -0.006244 Loss_D_fake 0.015725
[996/5000][260/535][102676] Loss_D: -0.022354 Loss_G: 0.017015 Loss_D_real: -0.030406 Loss_D_fake -0.008053
[996/5000][265/535][102677] Loss_D: -0.021691 Loss_G: 0.025072 Loss_D_real: -0.032195 Loss_D_fake -0.010504
[996/5000][270/535][102678] Loss_D: -0.021775 Loss_G: -0.002254 Loss_D_real: -0.013913 Loss_D_fake 0.007861
[996/5000][275/535][102679] Loss_D: -0.023053 Loss_G: 0.026147 Loss_D_real: -0.031532 Loss_D_fake -0.008479
[996/5000][280/535][102680] Loss_D: -0.023583 Loss_G: 0.009281 Loss_D_real: -0.027440 Loss_D_fake -0.003857
[996/5000][285/535][102681] Loss_D: -0.022273 Loss_G: -0.016197 Loss_D_real: -0.008947 Loss_D_fake 0.013326
[996/5000][290/535][102682] Loss_D: -0.021960 Loss_G: 0.019208 Loss_D_real: -0.023245 Loss_D_fake -0.001285
[996/5000][295/535][102683] Loss_D: -0.023122 Loss_G: 0.012020 Loss_D_real: -0.014790 Loss_D_fake 0.008331
[996/5000][300/535][102684] Loss_D: -0.022977 Loss_G: 0.022564 Loss_D_real: -0.023280 Loss_D_fake -0.000303
[996/5000][305/535][102685] Loss_D: -0.023310 Loss_G: -0.003178 Loss_D_real: -0.012218 Loss_D_fake 0.011092
[996/5000][310/535][102686] Loss_D: -0.021576 Loss_G: -0.003789 Loss_D_real: -0.013015 Loss_D_fake 0.008561
[996/5000][315/535][102687] Loss_D: -0.023367 Loss_G: 0.033857 Loss_D_real: -0.028686 Loss_D_fake -0.005319
[996/5000][320/535][102688] Loss_D: -0.022882 Loss_G: -0.009905 Loss_D_real: -0.004060 Loss_D_fake 0.018822
[996/5000][325/535][102689] Loss_D: -0.021769 Loss_G: 0.010936 Loss_D_real: -0.017304 Loss_D_fake 0.004466
[996/5000][330/535][102690] Loss_D: -0.022731 Loss_G: -0.001754 Loss_D_real: -0.015394 Loss_D_fake 0.007337
[996/5000][335/535][102691] Loss_D: -0.022218 Loss_G: 0.025056 Loss_D_real: -0.028315 Loss_D_fake -0.006097
[996/5000][340/535][102692] Loss_D: -0.023634 Loss_G: 0.005095 Loss_D_real: -0.027061 Loss_D_fake -0.003427
[996/5000][345/535][102693] Loss_D: -0.022704 Loss_G: 0.008901 Loss_D_real: -0.032848 Loss_D_fake -0.010144
[996/5000][350/535][102694] Loss_D: -0.023753 Loss_G: -0.011346 Loss_D_real: -0.008935 Loss_D_fake 0.014818
[996/5000][355/535][102695] Loss_D: -0.022347 Loss_G: -0.010427 Loss_D_real: -0.001954 Loss_D_fake 0.020393
[996/5000][360/535][102696] Loss_D: -0.023024 Loss_G: 0.007344 Loss_D_real: -0.009942 Loss_D_fake 0.013082
[996/5000][365/535][102697] Loss_D: -0.022801 Loss_G: -0.002720 Loss_D_real: -0.006603 Loss_D_fake 0.016199
[996/5000][370/535][102698] Loss_D: -0.023003 Loss_G: 0.010605 Loss_D_real: -0.023561 Loss_D_fake -0.000558
[996/5000][375/535][102699] Loss_D: -0.023808 Loss_G: 0.013057 Loss_D_real: -0.023844 Loss_D_fake -0.000036
[996/5000][380/535][102700] Loss_D: -0.024914 Loss_G: -0.002593 Loss_D_real: -0.022037 Loss_D_fake 0.002876
[996/5000][385/535][102701] Loss_D: -0.022613 Loss_G: 0.003243 Loss_D_real: -0.005880 Loss_D_fake 0.016732
[996/5000][390/535][102702] Loss_D: -0.023659 Loss_G: 0.005603 Loss_D_real: -0.025255 Loss_D_fake -0.001596
[996/5000][395/535][102703] Loss_D: -0.023284 Loss_G: 0.021529 Loss_D_real: -0.011006 Loss_D_fake 0.012279
[996/5000][400/535][102704] Loss_D: -0.022828 Loss_G: 0.015752 Loss_D_real: -0.021263 Loss_D_fake 0.001564
[996/5000][405/535][102705] Loss_D: -0.021962 Loss_G: -0.002791 Loss_D_real: -0.012115 Loss_D_fake 0.009847
[996/5000][410/535][102706] Loss_D: -0.023503 Loss_G: -0.000124 Loss_D_real: -0.029613 Loss_D_fake -0.006110
[996/5000][415/535][102707] Loss_D: -0.022777 Loss_G: 0.020148 Loss_D_real: -0.023129 Loss_D_fake -0.000352
[996/5000][420/535][102708] Loss_D: -0.022069 Loss_G: -0.007961 Loss_D_real: -0.010581 Loss_D_fake 0.011488
[996/5000][425/535][102709] Loss_D: -0.021544 Loss_G: -0.002383 Loss_D_real: -0.011836 Loss_D_fake 0.009708
[996/5000][430/535][102710] Loss_D: -0.023719 Loss_G: -0.001896 Loss_D_real: -0.015130 Loss_D_fake 0.008589
[996/5000][435/535][102711] Loss_D: -0.020817 Loss_G: 0.028574 Loss_D_real: -0.033021 Loss_D_fake -0.012203
[996/5000][440/535][102712] Loss_D: -0.022377 Loss_G: 0.008058 Loss_D_real: -0.025567 Loss_D_fake -0.003189
[996/5000][445/535][102713] Loss_D: -0.021992 Loss_G: 0.015183 Loss_D_real: -0.030549 Loss_D_fake -0.008557
[996/5000][450/535][102714] Loss_D: -0.023467 Loss_G: 0.001717 Loss_D_real: -0.015175 Loss_D_fake 0.008292
[996/5000][455/535][102715] Loss_D: -0.022362 Loss_G: 0.002722 Loss_D_real: -0.015248 Loss_D_fake 0.007114
[996/5000][460/535][102716] Loss_D: -0.022381 Loss_G: 0.003415 Loss_D_real: -0.016774 Loss_D_fake 0.005607
[996/5000][465/535][102717] Loss_D: -0.021992 Loss_G: 0.008817 Loss_D_real: -0.029792 Loss_D_fake -0.007800
[996/5000][470/535][102718] Loss_D: -0.021749 Loss_G: 0.009300 Loss_D_real: -0.021215 Loss_D_fake 0.000534
[996/5000][475/535][102719] Loss_D: -0.021755 Loss_G: 0.000381 Loss_D_real: -0.011720 Loss_D_fake 0.010035
[996/5000][480/535][102720] Loss_D: -0.022323 Loss_G: 0.017552 Loss_D_real: -0.022693 Loss_D_fake -0.000370
[996/5000][485/535][102721] Loss_D: -0.022615 Loss_G: -0.005746 Loss_D_real: -0.011507 Loss_D_fake 0.011107
[996/5000][490/535][102722] Loss_D: -0.022246 Loss_G: -0.018653 Loss_D_real: -0.006677 Loss_D_fake 0.015568
[996/5000][495/535][102723] Loss_D: -0.022767 Loss_G: 0.005556 Loss_D_real: -0.014837 Loss_D_fake 0.007931
[996/5000][500/535][102724] Loss_D: -0.022896 Loss_G: 0.025061 Loss_D_real: -0.028051 Loss_D_fake -0.005154
[996/5000][505/535][102725] Loss_D: -0.022764 Loss_G: 0.006272 Loss_D_real: -0.020176 Loss_D_fake 0.002588
[996/5000][510/535][102726] Loss_D: -0.023384 Loss_G: 0.019953 Loss_D_real: -0.028320 Loss_D_fake -0.004935
[996/5000][515/535][102727] Loss_D: -0.022345 Loss_G: 0.006930 Loss_D_real: -0.022551 Loss_D_fake -0.000206
[996/5000][520/535][102728] Loss_D: -0.021769 Loss_G: 0.028885 Loss_D_real: -0.031028 Loss_D_fake -0.009259
[996/5000][525/535][102729] Loss_D: -0.023181 Loss_G: 0.002591 Loss_D_real: -0.023547 Loss_D_fake -0.000366
[996/5000][530/535][102730] Loss_D: -0.024915 Loss_G: 0.006470 Loss_D_real: -0.017518 Loss_D_fake 0.007397
[996/5000][535/535][102731] Loss_D: -0.022843 Loss_G: 0.035160 Loss_D_real: -0.030202 Loss_D_fake -0.007359
[997/5000][5/535][102732] Loss_D: -0.024809 Loss_G: 0.011378 Loss_D_real: -0.018170 Loss_D_fake 0.006640
[997/5000][10/535][102733] Loss_D: -0.022970 Loss_G: 0.009274 Loss_D_real: -0.020037 Loss_D_fake 0.002933
[997/5000][15/535][102734] Loss_D: -0.025136 Loss_G: 0.015986 Loss_D_real: -0.034000 Loss_D_fake -0.008865
[997/5000][20/535][102735] Loss_D: -0.022850 Loss_G: 0.013053 Loss_D_real: -0.020979 Loss_D_fake 0.001871
[997/5000][25/535][102736] Loss_D: -0.023541 Loss_G: 0.016778 Loss_D_real: -0.025342 Loss_D_fake -0.001801
[997/5000][30/535][102737] Loss_D: -0.022496 Loss_G: -0.008336 Loss_D_real: -0.011579 Loss_D_fake 0.010917
[997/5000][35/535][102738] Loss_D: -0.023919 Loss_G: 0.021299 Loss_D_real: -0.026546 Loss_D_fake -0.002627
[997/5000][40/535][102739] Loss_D: -0.024953 Loss_G: 0.001858 Loss_D_real: -0.017207 Loss_D_fake 0.007746
[997/5000][45/535][102740] Loss_D: -0.022539 Loss_G: 0.003917 Loss_D_real: -0.024178 Loss_D_fake -0.001638
[997/5000][50/535][102741] Loss_D: -0.022623 Loss_G: -0.006822 Loss_D_real: -0.014852 Loss_D_fake 0.007771
[997/5000][55/535][102742] Loss_D: -0.022762 Loss_G: 0.015334 Loss_D_real: -0.024777 Loss_D_fake -0.002015
[997/5000][60/535][102743] Loss_D: -0.023413 Loss_G: 0.000826 Loss_D_real: -0.027084 Loss_D_fake -0.003671
[997/5000][65/535][102744] Loss_D: -0.022648 Loss_G: 0.004840 Loss_D_real: -0.011867 Loss_D_fake 0.010781
[997/5000][70/535][102745] Loss_D: -0.022731 Loss_G: 0.004100 Loss_D_real: -0.016175 Loss_D_fake 0.006557
[997/5000][75/535][102746] Loss_D: -0.024119 Loss_G: 0.023948 Loss_D_real: -0.022105 Loss_D_fake 0.002014
[997/5000][80/535][102747] Loss_D: -0.024895 Loss_G: 0.010788 Loss_D_real: -0.025157 Loss_D_fake -0.000262
[997/5000][85/535][102748] Loss_D: -0.023356 Loss_G: 0.008797 Loss_D_real: -0.023105 Loss_D_fake 0.000251
[997/5000][90/535][102749] Loss_D: -0.024771 Loss_G: 0.000302 Loss_D_real: -0.020365 Loss_D_fake 0.004406
[997/5000][95/535][102750] Loss_D: -0.023755 Loss_G: 0.003432 Loss_D_real: -0.023329 Loss_D_fake 0.000426
[997/5000][100/535][102751] Loss_D: -0.023409 Loss_G: 0.015875 Loss_D_real: -0.020478 Loss_D_fake 0.002931
[997/5000][105/535][102752] Loss_D: -0.021902 Loss_G: 0.007563 Loss_D_real: -0.002624 Loss_D_fake 0.019278
[997/5000][110/535][102753] Loss_D: -0.022936 Loss_G: 0.009875 Loss_D_real: -0.020550 Loss_D_fake 0.002387
[997/5000][115/535][102754] Loss_D: -0.023810 Loss_G: 0.028390 Loss_D_real: -0.022324 Loss_D_fake 0.001486
[997/5000][120/535][102755] Loss_D: -0.023722 Loss_G: 0.006813 Loss_D_real: -0.027921 Loss_D_fake -0.004199
[997/5000][125/535][102756] Loss_D: -0.022544 Loss_G: -0.011794 Loss_D_real: -0.010515 Loss_D_fake 0.012029
[997/5000][130/535][102757] Loss_D: -0.022598 Loss_G: 0.008223 Loss_D_real: -0.018951 Loss_D_fake 0.003647
[997/5000][135/535][102758] Loss_D: -0.022674 Loss_G: 0.005921 Loss_D_real: -0.014450 Loss_D_fake 0.008224
[997/5000][140/535][102759] Loss_D: -0.023571 Loss_G: 0.002319 Loss_D_real: -0.017000 Loss_D_fake 0.006571
[997/5000][145/535][102760] Loss_D: -0.022741 Loss_G: -0.006846 Loss_D_real: -0.008644 Loss_D_fake 0.014098
[997/5000][150/535][102761] Loss_D: -0.022030 Loss_G: 0.000294 Loss_D_real: -0.016637 Loss_D_fake 0.005393
[997/5000][155/535][102762] Loss_D: -0.023310 Loss_G: 0.015440 Loss_D_real: -0.019235 Loss_D_fake 0.004075
[997/5000][160/535][102763] Loss_D: -0.019941 Loss_G: 0.024620 Loss_D_real: -0.028201 Loss_D_fake -0.008260
[997/5000][165/535][102764] Loss_D: -0.021978 Loss_G: -0.013915 Loss_D_real: 0.001564 Loss_D_fake 0.023542
[997/5000][170/535][102765] Loss_D: -0.021720 Loss_G: 0.011622 Loss_D_real: -0.020762 Loss_D_fake 0.000958
[997/5000][175/535][102766] Loss_D: -0.022397 Loss_G: -0.003186 Loss_D_real: -0.018663 Loss_D_fake 0.003734
[997/5000][180/535][102767] Loss_D: -0.023663 Loss_G: -0.008573 Loss_D_real: -0.010819 Loss_D_fake 0.012845
[997/5000][185/535][102768] Loss_D: -0.023204 Loss_G: 0.031758 Loss_D_real: -0.033090 Loss_D_fake -0.009886
[997/5000][190/535][102769] Loss_D: -0.023299 Loss_G: -0.008981 Loss_D_real: -0.002305 Loss_D_fake 0.020993
[997/5000][195/535][102770] Loss_D: -0.022449 Loss_G: -0.006664 Loss_D_real: -0.005274 Loss_D_fake 0.017175
[997/5000][200/535][102771] Loss_D: -0.022910 Loss_G: 0.004441 Loss_D_real: -0.011378 Loss_D_fake 0.011532
[997/5000][205/535][102772] Loss_D: -0.022339 Loss_G: -0.005045 Loss_D_real: -0.003314 Loss_D_fake 0.019024
[997/5000][210/535][102773] Loss_D: -0.023041 Loss_G: 0.014812 Loss_D_real: -0.017689 Loss_D_fake 0.005352
[997/5000][215/535][102774] Loss_D: -0.021325 Loss_G: 0.014335 Loss_D_real: -0.017093 Loss_D_fake 0.004232
[997/5000][220/535][102775] Loss_D: -0.023448 Loss_G: 0.004511 Loss_D_real: -0.007867 Loss_D_fake 0.015581
[997/5000][225/535][102776] Loss_D: -0.022549 Loss_G: 0.018973 Loss_D_real: -0.030055 Loss_D_fake -0.007506
[997/5000][230/535][102777] Loss_D: -0.023296 Loss_G: 0.009106 Loss_D_real: -0.023473 Loss_D_fake -0.000177
[997/5000][235/535][102778] Loss_D: -0.022370 Loss_G: 0.016495 Loss_D_real: -0.027305 Loss_D_fake -0.004934
[997/5000][240/535][102779] Loss_D: -0.022161 Loss_G: 0.000659 Loss_D_real: -0.011093 Loss_D_fake 0.011068
[997/5000][245/535][102780] Loss_D: -0.021394 Loss_G: 0.013418 Loss_D_real: -0.017702 Loss_D_fake 0.003692
[997/5000][250/535][102781] Loss_D: -0.023910 Loss_G: 0.007230 Loss_D_real: -0.026376 Loss_D_fake -0.002467
[997/5000][255/535][102782] Loss_D: -0.022874 Loss_G: 0.021655 Loss_D_real: -0.028528 Loss_D_fake -0.005654
[997/5000][260/535][102783] Loss_D: -0.021449 Loss_G: -0.009011 Loss_D_real: -0.011809 Loss_D_fake 0.009639
[997/5000][265/535][102784] Loss_D: -0.023453 Loss_G: 0.025063 Loss_D_real: -0.031517 Loss_D_fake -0.008063
[997/5000][270/535][102785] Loss_D: -0.022258 Loss_G: 0.001417 Loss_D_real: -0.016656 Loss_D_fake 0.005603
[997/5000][275/535][102786] Loss_D: -0.022267 Loss_G: 0.003255 Loss_D_real: -0.021097 Loss_D_fake 0.001170
[997/5000][280/535][102787] Loss_D: -0.023282 Loss_G: 0.004301 Loss_D_real: -0.016879 Loss_D_fake 0.006402
[997/5000][285/535][102788] Loss_D: -0.023335 Loss_G: 0.024840 Loss_D_real: -0.034899 Loss_D_fake -0.011564
[997/5000][290/535][102789] Loss_D: -0.023859 Loss_G: 0.001664 Loss_D_real: -0.012530 Loss_D_fake 0.011329
[997/5000][295/535][102790] Loss_D: -0.023917 Loss_G: 0.018595 Loss_D_real: -0.019728 Loss_D_fake 0.004189
[997/5000][300/535][102791] Loss_D: -0.023175 Loss_G: -0.009045 Loss_D_real: -0.002426 Loss_D_fake 0.020748
[997/5000][305/535][102792] Loss_D: -0.023573 Loss_G: 0.020894 Loss_D_real: -0.021526 Loss_D_fake 0.002047
[997/5000][310/535][102793] Loss_D: -0.023771 Loss_G: 0.010973 Loss_D_real: -0.027111 Loss_D_fake -0.003340
[997/5000][315/535][102794] Loss_D: -0.024622 Loss_G: 0.021301 Loss_D_real: -0.032133 Loss_D_fake -0.007510
[997/5000][320/535][102795] Loss_D: -0.023405 Loss_G: -0.000936 Loss_D_real: -0.027403 Loss_D_fake -0.003997
[997/5000][325/535][102796] Loss_D: -0.023984 Loss_G: 0.015768 Loss_D_real: -0.023631 Loss_D_fake 0.000353
[997/5000][330/535][102797] Loss_D: -0.023021 Loss_G: 0.019511 Loss_D_real: -0.025417 Loss_D_fake -0.002396
[997/5000][335/535][102798] Loss_D: -0.023276 Loss_G: 0.002996 Loss_D_real: -0.019933 Loss_D_fake 0.003343
[997/5000][340/535][102799] Loss_D: -0.023284 Loss_G: 0.013875 Loss_D_real: -0.016702 Loss_D_fake 0.006582
[997/5000][345/535][102800] Loss_D: -0.022215 Loss_G: 0.014145 Loss_D_real: -0.017166 Loss_D_fake 0.005048
[997/5000][350/535][102801] Loss_D: -0.023235 Loss_G: 0.012577 Loss_D_real: -0.030112 Loss_D_fake -0.006878
[997/5000][355/535][102802] Loss_D: -0.021413 Loss_G: 0.007804 Loss_D_real: -0.019195 Loss_D_fake 0.002218
[997/5000][360/535][102803] Loss_D: -0.023524 Loss_G: 0.005446 Loss_D_real: -0.027401 Loss_D_fake -0.003877
[997/5000][365/535][102804] Loss_D: -0.023394 Loss_G: 0.012756 Loss_D_real: -0.013806 Loss_D_fake 0.009588
[997/5000][370/535][102805] Loss_D: -0.022538 Loss_G: 0.021733 Loss_D_real: -0.033675 Loss_D_fake -0.011138
[997/5000][375/535][102806] Loss_D: -0.023881 Loss_G: 0.008152 Loss_D_real: -0.017738 Loss_D_fake 0.006143
[997/5000][380/535][102807] Loss_D: -0.022974 Loss_G: -0.000295 Loss_D_real: -0.025404 Loss_D_fake -0.002431
[997/5000][385/535][102808] Loss_D: -0.022856 Loss_G: 0.005950 Loss_D_real: -0.018708 Loss_D_fake 0.004147
[997/5000][390/535][102809] Loss_D: -0.022918 Loss_G: 0.013293 Loss_D_real: -0.022550 Loss_D_fake 0.000368
[997/5000][395/535][102810] Loss_D: -0.021663 Loss_G: 0.009863 Loss_D_real: -0.027291 Loss_D_fake -0.005628
[997/5000][400/535][102811] Loss_D: -0.021497 Loss_G: 0.025742 Loss_D_real: -0.038493 Loss_D_fake -0.016995
[997/5000][405/535][102812] Loss_D: -0.022119 Loss_G: 0.001624 Loss_D_real: -0.032332 Loss_D_fake -0.010213
[997/5000][410/535][102813] Loss_D: -0.023873 Loss_G: 0.019421 Loss_D_real: -0.023777 Loss_D_fake 0.000096
[997/5000][415/535][102814] Loss_D: -0.022550 Loss_G: -0.004622 Loss_D_real: -0.004341 Loss_D_fake 0.018210
[997/5000][420/535][102815] Loss_D: -0.022875 Loss_G: 0.003578 Loss_D_real: -0.020198 Loss_D_fake 0.002677
[997/5000][425/535][102816] Loss_D: -0.021644 Loss_G: 0.015361 Loss_D_real: -0.020318 Loss_D_fake 0.001326
[997/5000][430/535][102817] Loss_D: -0.022904 Loss_G: 0.011433 Loss_D_real: -0.034187 Loss_D_fake -0.011284
[997/5000][435/535][102818] Loss_D: -0.023286 Loss_G: -0.001457 Loss_D_real: -0.019088 Loss_D_fake 0.004197
[997/5000][440/535][102819] Loss_D: -0.022758 Loss_G: -0.008343 Loss_D_real: -0.002425 Loss_D_fake 0.020333
[997/5000][445/535][102820] Loss_D: -0.022408 Loss_G: 0.013883 Loss_D_real: -0.018385 Loss_D_fake 0.004023
[997/5000][450/535][102821] Loss_D: -0.024688 Loss_G: 0.011810 Loss_D_real: -0.022733 Loss_D_fake 0.001955
[997/5000][455/535][102822] Loss_D: -0.022541 Loss_G: 0.008089 Loss_D_real: -0.029867 Loss_D_fake -0.007326
[997/5000][460/535][102823] Loss_D: -0.023211 Loss_G: 0.015312 Loss_D_real: -0.020144 Loss_D_fake 0.003067
[997/5000][465/535][102824] Loss_D: -0.023834 Loss_G: 0.001583 Loss_D_real: -0.007372 Loss_D_fake 0.016462
[997/5000][470/535][102825] Loss_D: -0.023368 Loss_G: -0.001971 Loss_D_real: -0.004862 Loss_D_fake 0.018507
[997/5000][475/535][102826] Loss_D: -0.022887 Loss_G: 0.007102 Loss_D_real: -0.016109 Loss_D_fake 0.006778
[997/5000][480/535][102827] Loss_D: -0.021930 Loss_G: -0.005884 Loss_D_real: -0.002325 Loss_D_fake 0.019605
[997/5000][485/535][102828] Loss_D: -0.022610 Loss_G: 0.022860 Loss_D_real: -0.031942 Loss_D_fake -0.009332
[997/5000][490/535][102829] Loss_D: -0.023463 Loss_G: -0.008720 Loss_D_real: -0.004640 Loss_D_fake 0.018823
[997/5000][495/535][102830] Loss_D: -0.022061 Loss_G: 0.001142 Loss_D_real: -0.015997 Loss_D_fake 0.006064
[997/5000][500/535][102831] Loss_D: -0.023246 Loss_G: 0.003944 Loss_D_real: -0.014777 Loss_D_fake 0.008469
[997/5000][505/535][102832] Loss_D: -0.022765 Loss_G: 0.018419 Loss_D_real: -0.028569 Loss_D_fake -0.005804
[997/5000][510/535][102833] Loss_D: -0.022894 Loss_G: 0.011758 Loss_D_real: -0.020295 Loss_D_fake 0.002599
[997/5000][515/535][102834] Loss_D: -0.022072 Loss_G: 0.009100 Loss_D_real: -0.021546 Loss_D_fake 0.000527
[997/5000][520/535][102835] Loss_D: -0.024069 Loss_G: -0.001514 Loss_D_real: -0.021750 Loss_D_fake 0.002319
[997/5000][525/535][102836] Loss_D: -0.021958 Loss_G: -0.011152 Loss_D_real: -0.014103 Loss_D_fake 0.007855
[997/5000][530/535][102837] Loss_D: -0.023113 Loss_G: 0.018298 Loss_D_real: -0.020163 Loss_D_fake 0.002950
[997/5000][535/535][102838] Loss_D: -0.021485 Loss_G: -0.004571 Loss_D_real: -0.011098 Loss_D_fake 0.010387
[998/5000][5/535][102839] Loss_D: -0.022748 Loss_G: 0.018303 Loss_D_real: -0.020418 Loss_D_fake 0.002330
[998/5000][10/535][102840] Loss_D: -0.021837 Loss_G: 0.012253 Loss_D_real: -0.028225 Loss_D_fake -0.006388
[998/5000][15/535][102841] Loss_D: -0.022091 Loss_G: 0.007851 Loss_D_real: -0.018405 Loss_D_fake 0.003686
[998/5000][20/535][102842] Loss_D: -0.020828 Loss_G: 0.022691 Loss_D_real: -0.026304 Loss_D_fake -0.005477
[998/5000][25/535][102843] Loss_D: -0.022358 Loss_G: 0.008607 Loss_D_real: -0.015897 Loss_D_fake 0.006461
[998/5000][30/535][102844] Loss_D: -0.023068 Loss_G: 0.015216 Loss_D_real: -0.026914 Loss_D_fake -0.003846
[998/5000][35/535][102845] Loss_D: -0.023337 Loss_G: -0.000187 Loss_D_real: -0.027529 Loss_D_fake -0.004192
[998/5000][40/535][102846] Loss_D: -0.023078 Loss_G: -0.002681 Loss_D_real: -0.015376 Loss_D_fake 0.007703
[998/5000][45/535][102847] Loss_D: -0.022441 Loss_G: -0.003023 Loss_D_real: -0.008226 Loss_D_fake 0.014215
[998/5000][50/535][102848] Loss_D: -0.023582 Loss_G: 0.013971 Loss_D_real: -0.024256 Loss_D_fake -0.000674
[998/5000][55/535][102849] Loss_D: -0.022775 Loss_G: 0.000466 Loss_D_real: -0.009740 Loss_D_fake 0.013035
[998/5000][60/535][102850] Loss_D: -0.021468 Loss_G: 0.015873 Loss_D_real: -0.036684 Loss_D_fake -0.015216
[998/5000][65/535][102851] Loss_D: -0.022046 Loss_G: 0.017050 Loss_D_real: -0.029089 Loss_D_fake -0.007043
[998/5000][70/535][102852] Loss_D: -0.023542 Loss_G: 0.000475 Loss_D_real: -0.009219 Loss_D_fake 0.014322
[998/5000][75/535][102853] Loss_D: -0.023125 Loss_G: 0.024414 Loss_D_real: -0.023295 Loss_D_fake -0.000171
[998/5000][80/535][102854] Loss_D: -0.023537 Loss_G: 0.012433 Loss_D_real: -0.017374 Loss_D_fake 0.006163
[998/5000][85/535][102855] Loss_D: -0.022864 Loss_G: 0.030002 Loss_D_real: -0.024053 Loss_D_fake -0.001189
[998/5000][90/535][102856] Loss_D: -0.022806 Loss_G: -0.017524 Loss_D_real: 0.000960 Loss_D_fake 0.023766
[998/5000][95/535][102857] Loss_D: -0.021811 Loss_G: 0.018960 Loss_D_real: -0.032293 Loss_D_fake -0.010482
[998/5000][100/535][102858] Loss_D: -0.021594 Loss_G: -0.004113 Loss_D_real: -0.009929 Loss_D_fake 0.011665
[998/5000][105/535][102859] Loss_D: -0.021723 Loss_G: 0.005408 Loss_D_real: -0.011522 Loss_D_fake 0.010201
[998/5000][110/535][102860] Loss_D: -0.021402 Loss_G: 0.006181 Loss_D_real: -0.019437 Loss_D_fake 0.001965
[998/5000][115/535][102861] Loss_D: -0.023603 Loss_G: 0.011231 Loss_D_real: -0.023805 Loss_D_fake -0.000202
[998/5000][120/535][102862] Loss_D: -0.021598 Loss_G: 0.006074 Loss_D_real: -0.020403 Loss_D_fake 0.001195
[998/5000][125/535][102863] Loss_D: -0.021681 Loss_G: 0.020130 Loss_D_real: -0.026877 Loss_D_fake -0.005195
[998/5000][130/535][102864] Loss_D: -0.021925 Loss_G: 0.006846 Loss_D_real: -0.014920 Loss_D_fake 0.007005
[998/5000][135/535][102865] Loss_D: -0.021927 Loss_G: 0.008189 Loss_D_real: -0.026906 Loss_D_fake -0.004979
[998/5000][140/535][102866] Loss_D: -0.023444 Loss_G: -0.003925 Loss_D_real: -0.016554 Loss_D_fake 0.006890
[998/5000][145/535][102867] Loss_D: -0.022626 Loss_G: 0.015219 Loss_D_real: -0.019693 Loss_D_fake 0.002933
[998/5000][150/535][102868] Loss_D: -0.023138 Loss_G: -0.003559 Loss_D_real: -0.011502 Loss_D_fake 0.011636
[998/5000][155/535][102869] Loss_D: -0.023956 Loss_G: -0.003755 Loss_D_real: -0.004054 Loss_D_fake 0.019902
[998/5000][160/535][102870] Loss_D: -0.022830 Loss_G: -0.008694 Loss_D_real: -0.006717 Loss_D_fake 0.016114
[998/5000][165/535][102871] Loss_D: -0.024902 Loss_G: 0.018591 Loss_D_real: -0.016540 Loss_D_fake 0.008362
[998/5000][170/535][102872] Loss_D: -0.021534 Loss_G: 0.028304 Loss_D_real: -0.040311 Loss_D_fake -0.018778
[998/5000][175/535][102873] Loss_D: -0.023483 Loss_G: -0.002871 Loss_D_real: -0.015918 Loss_D_fake 0.007566
[998/5000][180/535][102874] Loss_D: -0.023574 Loss_G: 0.012052 Loss_D_real: -0.022647 Loss_D_fake 0.000927
[998/5000][185/535][102875] Loss_D: -0.023190 Loss_G: 0.034378 Loss_D_real: -0.033026 Loss_D_fake -0.009836
[998/5000][190/535][102876] Loss_D: -0.024216 Loss_G: 0.003823 Loss_D_real: -0.023898 Loss_D_fake 0.000318
[998/5000][195/535][102877] Loss_D: -0.023666 Loss_G: 0.020284 Loss_D_real: -0.025638 Loss_D_fake -0.001972
[998/5000][200/535][102878] Loss_D: -0.022586 Loss_G: 0.023148 Loss_D_real: -0.031732 Loss_D_fake -0.009146
[998/5000][205/535][102879] Loss_D: -0.024449 Loss_G: 0.017205 Loss_D_real: -0.014279 Loss_D_fake 0.010170
[998/5000][210/535][102880] Loss_D: -0.021806 Loss_G: -0.012813 Loss_D_real: -0.003631 Loss_D_fake 0.018174
[998/5000][215/535][102881] Loss_D: -0.023554 Loss_G: -0.004140 Loss_D_real: -0.017744 Loss_D_fake 0.005810
[998/5000][220/535][102882] Loss_D: -0.021200 Loss_G: 0.033581 Loss_D_real: -0.040077 Loss_D_fake -0.018878
[998/5000][225/535][102883] Loss_D: -0.022081 Loss_G: 0.028670 Loss_D_real: -0.020385 Loss_D_fake 0.001696
[998/5000][230/535][102884] Loss_D: -0.022541 Loss_G: 0.014557 Loss_D_real: -0.023428 Loss_D_fake -0.000887
[998/5000][235/535][102885] Loss_D: -0.022584 Loss_G: 0.014898 Loss_D_real: -0.027319 Loss_D_fake -0.004735
[998/5000][240/535][102886] Loss_D: -0.022238 Loss_G: -0.006035 Loss_D_real: -0.014677 Loss_D_fake 0.007561
[998/5000][245/535][102887] Loss_D: -0.022903 Loss_G: 0.007095 Loss_D_real: -0.020173 Loss_D_fake 0.002730
[998/5000][250/535][102888] Loss_D: -0.022865 Loss_G: 0.019616 Loss_D_real: -0.027227 Loss_D_fake -0.004363
[998/5000][255/535][102889] Loss_D: -0.022020 Loss_G: 0.004060 Loss_D_real: -0.013887 Loss_D_fake 0.008133
[998/5000][260/535][102890] Loss_D: -0.023400 Loss_G: 0.014210 Loss_D_real: -0.024692 Loss_D_fake -0.001292
[998/5000][265/535][102891] Loss_D: -0.022982 Loss_G: 0.007185 Loss_D_real: -0.017506 Loss_D_fake 0.005476
[998/5000][270/535][102892] Loss_D: -0.024490 Loss_G: 0.006492 Loss_D_real: -0.013622 Loss_D_fake 0.010868
[998/5000][275/535][102893] Loss_D: -0.023259 Loss_G: 0.005318 Loss_D_real: -0.018895 Loss_D_fake 0.004363
[998/5000][280/535][102894] Loss_D: -0.023736 Loss_G: 0.030361 Loss_D_real: -0.028254 Loss_D_fake -0.004518
[998/5000][285/535][102895] Loss_D: -0.021762 Loss_G: 0.022370 Loss_D_real: -0.035529 Loss_D_fake -0.013767
[998/5000][290/535][102896] Loss_D: -0.024730 Loss_G: 0.005357 Loss_D_real: -0.026899 Loss_D_fake -0.002170
[998/5000][295/535][102897] Loss_D: -0.023870 Loss_G: -0.012077 Loss_D_real: -0.022524 Loss_D_fake 0.001347
[998/5000][300/535][102898] Loss_D: -0.024087 Loss_G: 0.003999 Loss_D_real: -0.010460 Loss_D_fake 0.013627
[998/5000][305/535][102899] Loss_D: -0.023342 Loss_G: 0.010374 Loss_D_real: -0.022668 Loss_D_fake 0.000673
[998/5000][310/535][102900] Loss_D: -0.023352 Loss_G: 0.011500 Loss_D_real: -0.017856 Loss_D_fake 0.005496
[998/5000][315/535][102901] Loss_D: -0.023843 Loss_G: -0.001878 Loss_D_real: -0.016272 Loss_D_fake 0.007571
[998/5000][320/535][102902] Loss_D: -0.022238 Loss_G: 0.004946 Loss_D_real: -0.018011 Loss_D_fake 0.004226
[998/5000][325/535][102903] Loss_D: -0.022049 Loss_G: 0.012009 Loss_D_real: -0.023957 Loss_D_fake -0.001908
[998/5000][330/535][102904] Loss_D: -0.022238 Loss_G: 0.001194 Loss_D_real: -0.024038 Loss_D_fake -0.001800
[998/5000][335/535][102905] Loss_D: -0.023385 Loss_G: 0.014327 Loss_D_real: -0.021351 Loss_D_fake 0.002034
[998/5000][340/535][102906] Loss_D: -0.023060 Loss_G: -0.004939 Loss_D_real: -0.021908 Loss_D_fake 0.001152
[998/5000][345/535][102907] Loss_D: -0.024383 Loss_G: 0.013992 Loss_D_real: -0.019579 Loss_D_fake 0.004805
[998/5000][350/535][102908] Loss_D: -0.021714 Loss_G: 0.018219 Loss_D_real: -0.019810 Loss_D_fake 0.001905
[998/5000][355/535][102909] Loss_D: -0.023620 Loss_G: -0.002657 Loss_D_real: -0.002060 Loss_D_fake 0.021560
[998/5000][360/535][102910] Loss_D: -0.023688 Loss_G: 0.011944 Loss_D_real: -0.014973 Loss_D_fake 0.008716
[998/5000][365/535][102911] Loss_D: -0.023000 Loss_G: 0.012096 Loss_D_real: -0.030255 Loss_D_fake -0.007256
[998/5000][370/535][102912] Loss_D: -0.023540 Loss_G: 0.019935 Loss_D_real: -0.026978 Loss_D_fake -0.003439
[998/5000][375/535][102913] Loss_D: -0.023061 Loss_G: 0.019703 Loss_D_real: -0.023865 Loss_D_fake -0.000804
[998/5000][380/535][102914] Loss_D: -0.022979 Loss_G: 0.008654 Loss_D_real: -0.009512 Loss_D_fake 0.013466
[998/5000][385/535][102915] Loss_D: -0.022665 Loss_G: -0.003315 Loss_D_real: -0.011460 Loss_D_fake 0.011205
[998/5000][390/535][102916] Loss_D: -0.021000 Loss_G: 0.021134 Loss_D_real: -0.038011 Loss_D_fake -0.017011
[998/5000][395/535][102917] Loss_D: -0.020112 Loss_G: 0.025934 Loss_D_real: -0.028040 Loss_D_fake -0.007928
[998/5000][400/535][102918] Loss_D: -0.022549 Loss_G: 0.026880 Loss_D_real: -0.027843 Loss_D_fake -0.005293
[998/5000][405/535][102919] Loss_D: -0.021837 Loss_G: -0.004224 Loss_D_real: -0.012992 Loss_D_fake 0.008846
[998/5000][410/535][102920] Loss_D: -0.021088 Loss_G: -0.018725 Loss_D_real: -0.003500 Loss_D_fake 0.017587
[998/5000][415/535][102921] Loss_D: -0.023132 Loss_G: 0.007413 Loss_D_real: -0.022873 Loss_D_fake 0.000259
[998/5000][420/535][102922] Loss_D: -0.023089 Loss_G: -0.005616 Loss_D_real: -0.008159 Loss_D_fake 0.014930
[998/5000][425/535][102923] Loss_D: -0.022569 Loss_G: 0.005340 Loss_D_real: -0.012856 Loss_D_fake 0.009713
[998/5000][430/535][102924] Loss_D: -0.021888 Loss_G: 0.032237 Loss_D_real: -0.027671 Loss_D_fake -0.005783
[998/5000][435/535][102925] Loss_D: -0.023390 Loss_G: 0.008428 Loss_D_real: -0.021648 Loss_D_fake 0.001742
[998/5000][440/535][102926] Loss_D: -0.022775 Loss_G: -0.010465 Loss_D_real: -0.005103 Loss_D_fake 0.017672
[998/5000][445/535][102927] Loss_D: -0.022412 Loss_G: 0.009943 Loss_D_real: -0.021854 Loss_D_fake 0.000558
[998/5000][450/535][102928] Loss_D: -0.022807 Loss_G: 0.020713 Loss_D_real: -0.027023 Loss_D_fake -0.004217
[998/5000][455/535][102929] Loss_D: -0.022522 Loss_G: 0.005555 Loss_D_real: -0.019920 Loss_D_fake 0.002602
[998/5000][460/535][102930] Loss_D: -0.022642 Loss_G: 0.015988 Loss_D_real: -0.027070 Loss_D_fake -0.004428
[998/5000][465/535][102931] Loss_D: -0.023898 Loss_G: 0.006268 Loss_D_real: -0.028478 Loss_D_fake -0.004580
[998/5000][470/535][102932] Loss_D: -0.022213 Loss_G: 0.002924 Loss_D_real: -0.017048 Loss_D_fake 0.005165
[998/5000][475/535][102933] Loss_D: -0.022647 Loss_G: -0.000642 Loss_D_real: -0.009472 Loss_D_fake 0.013176
[998/5000][480/535][102934] Loss_D: -0.022585 Loss_G: 0.005341 Loss_D_real: -0.017978 Loss_D_fake 0.004606
[998/5000][485/535][102935] Loss_D: -0.022288 Loss_G: 0.010176 Loss_D_real: -0.015789 Loss_D_fake 0.006500
[998/5000][490/535][102936] Loss_D: -0.022475 Loss_G: 0.020194 Loss_D_real: -0.029784 Loss_D_fake -0.007309
[998/5000][495/535][102937] Loss_D: -0.022959 Loss_G: -0.015105 Loss_D_real: -0.005097 Loss_D_fake 0.017862
[998/5000][500/535][102938] Loss_D: -0.022688 Loss_G: 0.016140 Loss_D_real: -0.029785 Loss_D_fake -0.007097
[998/5000][505/535][102939] Loss_D: -0.022218 Loss_G: 0.008367 Loss_D_real: -0.015604 Loss_D_fake 0.006614
[998/5000][510/535][102940] Loss_D: -0.022701 Loss_G: -0.001894 Loss_D_real: -0.011756 Loss_D_fake 0.010945
[998/5000][515/535][102941] Loss_D: -0.023791 Loss_G: 0.013342 Loss_D_real: -0.020634 Loss_D_fake 0.003157
[998/5000][520/535][102942] Loss_D: -0.022596 Loss_G: 0.018728 Loss_D_real: -0.034960 Loss_D_fake -0.012364
[998/5000][525/535][102943] Loss_D: -0.022668 Loss_G: 0.010189 Loss_D_real: -0.032385 Loss_D_fake -0.009716
[998/5000][530/535][102944] Loss_D: -0.024334 Loss_G: 0.000233 Loss_D_real: -0.013862 Loss_D_fake 0.010472
[998/5000][535/535][102945] Loss_D: -0.024749 Loss_G: 0.047847 Loss_D_real: -0.031261 Loss_D_fake -0.006512
[999/5000][5/535][102946] Loss_D: -0.022571 Loss_G: -0.000329 Loss_D_real: -0.009203 Loss_D_fake 0.013369
[999/5000][10/535][102947] Loss_D: -0.021969 Loss_G: 0.010666 Loss_D_real: -0.022349 Loss_D_fake -0.000380
[999/5000][15/535][102948] Loss_D: -0.022178 Loss_G: -0.007999 Loss_D_real: -0.002615 Loss_D_fake 0.019563
[999/5000][20/535][102949] Loss_D: -0.023422 Loss_G: 0.008912 Loss_D_real: -0.017926 Loss_D_fake 0.005497
[999/5000][25/535][102950] Loss_D: -0.023051 Loss_G: -0.000896 Loss_D_real: -0.002989 Loss_D_fake 0.020062
[999/5000][30/535][102951] Loss_D: -0.021717 Loss_G: 0.009376 Loss_D_real: -0.018160 Loss_D_fake 0.003557
[999/5000][35/535][102952] Loss_D: -0.021727 Loss_G: 0.008471 Loss_D_real: -0.018609 Loss_D_fake 0.003119
[999/5000][40/535][102953] Loss_D: -0.021833 Loss_G: 0.017843 Loss_D_real: -0.024100 Loss_D_fake -0.002267
[999/5000][45/535][102954] Loss_D: -0.022711 Loss_G: 0.013928 Loss_D_real: -0.020352 Loss_D_fake 0.002359
[999/5000][50/535][102955] Loss_D: -0.023144 Loss_G: 0.023223 Loss_D_real: -0.028513 Loss_D_fake -0.005369
[999/5000][55/535][102956] Loss_D: -0.024101 Loss_G: 0.000983 Loss_D_real: -0.013027 Loss_D_fake 0.011075
[999/5000][60/535][102957] Loss_D: -0.022224 Loss_G: 0.002915 Loss_D_real: -0.009438 Loss_D_fake 0.012785
[999/5000][65/535][102958] Loss_D: -0.023668 Loss_G: -0.003555 Loss_D_real: -0.010695 Loss_D_fake 0.012973
[999/5000][70/535][102959] Loss_D: -0.023344 Loss_G: 0.014256 Loss_D_real: -0.020430 Loss_D_fake 0.002914
[999/5000][75/535][102960] Loss_D: -0.021353 Loss_G: -0.009602 Loss_D_real: -0.005880 Loss_D_fake 0.015472
[999/5000][80/535][102961] Loss_D: -0.023453 Loss_G: 0.020697 Loss_D_real: -0.031861 Loss_D_fake -0.008407
[999/5000][85/535][102962] Loss_D: -0.022600 Loss_G: 0.007451 Loss_D_real: -0.017969 Loss_D_fake 0.004631
[999/5000][90/535][102963] Loss_D: -0.024296 Loss_G: 0.015157 Loss_D_real: -0.028175 Loss_D_fake -0.003879
[999/5000][95/535][102964] Loss_D: -0.022536 Loss_G: 0.026044 Loss_D_real: -0.029340 Loss_D_fake -0.006804
[999/5000][100/535][102965] Loss_D: -0.022289 Loss_G: -0.012277 Loss_D_real: 0.005076 Loss_D_fake 0.027365
[999/5000][105/535][102966] Loss_D: -0.022758 Loss_G: 0.008637 Loss_D_real: -0.029072 Loss_D_fake -0.006313
[999/5000][110/535][102967] Loss_D: -0.023262 Loss_G: 0.017153 Loss_D_real: -0.026501 Loss_D_fake -0.003238
[999/5000][115/535][102968] Loss_D: -0.023737 Loss_G: 0.023341 Loss_D_real: -0.028605 Loss_D_fake -0.004869
[999/5000][120/535][102969] Loss_D: -0.022454 Loss_G: 0.016436 Loss_D_real: -0.031251 Loss_D_fake -0.008796
[999/5000][125/535][102970] Loss_D: -0.022406 Loss_G: 0.021796 Loss_D_real: -0.031348 Loss_D_fake -0.008942
[999/5000][130/535][102971] Loss_D: -0.023148 Loss_G: 0.002363 Loss_D_real: -0.020116 Loss_D_fake 0.003032
[999/5000][135/535][102972] Loss_D: -0.023638 Loss_G: -0.000189 Loss_D_real: -0.012195 Loss_D_fake 0.011443
[999/5000][140/535][102973] Loss_D: -0.021980 Loss_G: 0.008220 Loss_D_real: -0.020448 Loss_D_fake 0.001533
[999/5000][145/535][102974] Loss_D: -0.021978 Loss_G: 0.013164 Loss_D_real: -0.031445 Loss_D_fake -0.009467
[999/5000][150/535][102975] Loss_D: -0.022569 Loss_G: 0.013128 Loss_D_real: -0.018353 Loss_D_fake 0.004216
[999/5000][155/535][102976] Loss_D: -0.020362 Loss_G: 0.034139 Loss_D_real: -0.034370 Loss_D_fake -0.014008
[999/5000][160/535][102977] Loss_D: -0.022474 Loss_G: 0.016514 Loss_D_real: -0.028503 Loss_D_fake -0.006029
[999/5000][165/535][102978] Loss_D: -0.023627 Loss_G: 0.006927 Loss_D_real: -0.028639 Loss_D_fake -0.005012
[999/5000][170/535][102979] Loss_D: -0.021092 Loss_G: 0.018745 Loss_D_real: -0.038373 Loss_D_fake -0.017281
[999/5000][175/535][102980] Loss_D: -0.022834 Loss_G: 0.016616 Loss_D_real: -0.016186 Loss_D_fake 0.006648
[999/5000][180/535][102981] Loss_D: -0.023151 Loss_G: 0.002512 Loss_D_real: -0.016766 Loss_D_fake 0.006384
[999/5000][185/535][102982] Loss_D: -0.022597 Loss_G: 0.016268 Loss_D_real: -0.025504 Loss_D_fake -0.002906
[999/5000][190/535][102983] Loss_D: -0.025008 Loss_G: -0.006847 Loss_D_real: -0.018638 Loss_D_fake 0.006370
[999/5000][195/535][102984] Loss_D: -0.022846 Loss_G: 0.004903 Loss_D_real: -0.024880 Loss_D_fake -0.002035
[999/5000][200/535][102985] Loss_D: -0.022729 Loss_G: 0.025155 Loss_D_real: -0.024260 Loss_D_fake -0.001531
[999/5000][205/535][102986] Loss_D: -0.022626 Loss_G: -0.011470 Loss_D_real: -0.009224 Loss_D_fake 0.013402
[999/5000][210/535][102987] Loss_D: -0.024060 Loss_G: 0.006397 Loss_D_real: -0.010357 Loss_D_fake 0.013702
[999/5000][215/535][102988] Loss_D: -0.022829 Loss_G: 0.003311 Loss_D_real: -0.018100 Loss_D_fake 0.004729
[999/5000][220/535][102989] Loss_D: -0.023498 Loss_G: 0.006181 Loss_D_real: -0.018334 Loss_D_fake 0.005164
[999/5000][225/535][102990] Loss_D: -0.023488 Loss_G: -0.001390 Loss_D_real: -0.019246 Loss_D_fake 0.004242
[999/5000][230/535][102991] Loss_D: -0.022802 Loss_G: -0.004622 Loss_D_real: -0.004282 Loss_D_fake 0.018520
[999/5000][235/535][102992] Loss_D: -0.022896 Loss_G: 0.028378 Loss_D_real: -0.029287 Loss_D_fake -0.006391
[999/5000][240/535][102993] Loss_D: -0.023013 Loss_G: 0.012187 Loss_D_real: -0.029796 Loss_D_fake -0.006782
[999/5000][245/535][102994] Loss_D: -0.020932 Loss_G: 0.022989 Loss_D_real: -0.032529 Loss_D_fake -0.011597
[999/5000][250/535][102995] Loss_D: -0.022008 Loss_G: 0.018705 Loss_D_real: -0.030536 Loss_D_fake -0.008528
[999/5000][255/535][102996] Loss_D: -0.023366 Loss_G: 0.003295 Loss_D_real: -0.016188 Loss_D_fake 0.007177
[999/5000][260/535][102997] Loss_D: -0.019186 Loss_G: 0.031727 Loss_D_real: -0.041332 Loss_D_fake -0.022146
[999/5000][265/535][102998] Loss_D: -0.021996 Loss_G: 0.010572 Loss_D_real: -0.022631 Loss_D_fake -0.000635
[999/5000][270/535][102999] Loss_D: -0.023061 Loss_G: -0.003459 Loss_D_real: 0.001233 Loss_D_fake 0.024295
[999/5000][275/535][103000] Loss_D: -0.023937 Loss_G: 0.007322 Loss_D_real: -0.025180 Loss_D_fake -0.001243
[999/5000][375/535][103001] Loss_D: -0.024384 Loss_G: -0.007718 Loss_D_real: -0.008254 Loss_D_fake 0.016129
[999/5000][380/535][103002] Loss_D: -0.025175 Loss_G: 0.017583 Loss_D_real: -0.024364 Loss_D_fake 0.000812
[999/5000][385/535][103003] Loss_D: -0.020693 Loss_G: 0.002231 Loss_D_real: -0.015896 Loss_D_fake 0.004797
[999/5000][390/535][103004] Loss_D: -0.020879 Loss_G: 0.016708 Loss_D_real: -0.019026 Loss_D_fake 0.001853
[999/5000][395/535][103005] Loss_D: -0.023048 Loss_G: -0.002094 Loss_D_real: -0.020945 Loss_D_fake 0.002103
[999/5000][400/535][103006] Loss_D: -0.020711 Loss_G: 0.014690 Loss_D_real: -0.025772 Loss_D_fake -0.005061
[999/5000][405/535][103007] Loss_D: -0.022319 Loss_G: 0.003120 Loss_D_real: -0.022323 Loss_D_fake -0.000004
[999/5000][410/535][103008] Loss_D: -0.021583 Loss_G: 0.022854 Loss_D_real: -0.027998 Loss_D_fake -0.006415
[999/5000][415/535][103009] Loss_D: -0.022632 Loss_G: 0.006301 Loss_D_real: -0.031754 Loss_D_fake -0.009122
[999/5000][420/535][103010] Loss_D: -0.023222 Loss_G: -0.000999 Loss_D_real: -0.008221 Loss_D_fake 0.015000
[999/5000][425/535][103011] Loss_D: -0.023811 Loss_G: 0.011802 Loss_D_real: -0.019932 Loss_D_fake 0.003879
[999/5000][430/535][103012] Loss_D: -0.021917 Loss_G: -0.011667 Loss_D_real: -0.010619 Loss_D_fake 0.011298
[999/5000][435/535][103013] Loss_D: -0.021518 Loss_G: 0.032332 Loss_D_real: -0.032828 Loss_D_fake -0.011310
[999/5000][440/535][103014] Loss_D: -0.022263 Loss_G: 0.011245 Loss_D_real: -0.025991 Loss_D_fake -0.003728
[999/5000][445/535][103015] Loss_D: -0.023644 Loss_G: -0.004391 Loss_D_real: -0.021766 Loss_D_fake 0.001879
[999/5000][450/535][103016] Loss_D: -0.023762 Loss_G: 0.007135 Loss_D_real: -0.015329 Loss_D_fake 0.008433
[999/5000][455/535][103017] Loss_D: -0.024093 Loss_G: 0.019010 Loss_D_real: -0.017941 Loss_D_fake 0.006152
[999/5000][460/535][103018] Loss_D: -0.023313 Loss_G: -0.001576 Loss_D_real: -0.022073 Loss_D_fake 0.001241
[999/5000][465/535][103019] Loss_D: -0.023304 Loss_G: 0.004984 Loss_D_real: -0.027049 Loss_D_fake -0.003744
[999/5000][470/535][103020] Loss_D: -0.022417 Loss_G: 0.000762 Loss_D_real: -0.015752 Loss_D_fake 0.006665
[999/5000][475/535][103021] Loss_D: -0.022335 Loss_G: 0.009434 Loss_D_real: -0.016383 Loss_D_fake 0.005951
[999/5000][480/535][103022] Loss_D: -0.024274 Loss_G: 0.034295 Loss_D_real: -0.026203 Loss_D_fake -0.001929
[999/5000][485/535][103023] Loss_D: -0.021913 Loss_G: 0.029634 Loss_D_real: -0.031177 Loss_D_fake -0.009264
[999/5000][490/535][103024] Loss_D: -0.022073 Loss_G: -0.004608 Loss_D_real: -0.018236 Loss_D_fake 0.003837
[999/5000][495/535][103025] Loss_D: -0.022388 Loss_G: 0.016037 Loss_D_real: -0.035675 Loss_D_fake -0.013287
[999/5000][500/535][103026] Loss_D: -0.020361 Loss_G: 0.033798 Loss_D_real: -0.035505 Loss_D_fake -0.015143
[999/5000][505/535][103027] Loss_D: -0.022973 Loss_G: 0.013242 Loss_D_real: -0.021955 Loss_D_fake 0.001018
[999/5000][510/535][103028] Loss_D: -0.022598 Loss_G: 0.002717 Loss_D_real: -0.027977 Loss_D_fake -0.005379
[999/5000][515/535][103029] Loss_D: -0.022790 Loss_G: 0.009902 Loss_D_real: -0.017960 Loss_D_fake 0.004830
[999/5000][520/535][103030] Loss_D: -0.023850 Loss_G: -0.015833 Loss_D_real: -0.008849 Loss_D_fake 0.015001
[999/5000][525/535][103031] Loss_D: -0.022528 Loss_G: 0.024390 Loss_D_real: -0.024280 Loss_D_fake -0.001752
[999/5000][530/535][103032] Loss_D: -0.023806 Loss_G: 0.014252 Loss_D_real: -0.025834 Loss_D_fake -0.002028
[999/5000][535/535][103033] Loss_D: -0.024228 Loss_G: -0.010031 Loss_D_real: -0.007088 Loss_D_fake 0.017140
[1000/5000][5/535][103034] Loss_D: -0.022121 Loss_G: 0.007446 Loss_D_real: -0.019245 Loss_D_fake 0.002876
[1000/5000][10/535][103035] Loss_D: -0.023321 Loss_G: 0.014203 Loss_D_real: -0.023304 Loss_D_fake 0.000016
[1000/5000][15/535][103036] Loss_D: -0.023057 Loss_G: 0.006360 Loss_D_real: -0.016546 Loss_D_fake 0.006512
[1000/5000][20/535][103037] Loss_D: -0.022022 Loss_G: 0.004506 Loss_D_real: -0.014868 Loss_D_fake 0.007154
[1000/5000][25/535][103038] Loss_D: -0.022281 Loss_G: -0.006061 Loss_D_real: -0.014455 Loss_D_fake 0.007826
[1000/5000][30/535][103039] Loss_D: -0.023385 Loss_G: 0.001074 Loss_D_real: -0.019734 Loss_D_fake 0.003651
[1000/5000][35/535][103040] Loss_D: -0.023722 Loss_G: 0.006145 Loss_D_real: -0.015893 Loss_D_fake 0.007829
[1000/5000][40/535][103041] Loss_D: -0.022338 Loss_G: 0.005296 Loss_D_real: -0.011869 Loss_D_fake 0.010469
[1000/5000][45/535][103042] Loss_D: -0.023717 Loss_G: 0.002274 Loss_D_real: -0.009598 Loss_D_fake 0.014119
[1000/5000][50/535][103043] Loss_D: -0.024464 Loss_G: 0.000828 Loss_D_real: -0.011687 Loss_D_fake 0.012776
[1000/5000][55/535][103044] Loss_D: -0.022840 Loss_G: 0.009001 Loss_D_real: -0.016550 Loss_D_fake 0.006290
[1000/5000][60/535][103045] Loss_D: -0.022492 Loss_G: 0.031948 Loss_D_real: -0.035203 Loss_D_fake -0.012711
[1000/5000][65/535][103046] Loss_D: -0.021977 Loss_G: 0.007350 Loss_D_real: -0.022900 Loss_D_fake -0.000924
[1000/5000][70/535][103047] Loss_D: -0.022696 Loss_G: 0.009067 Loss_D_real: -0.024077 Loss_D_fake -0.001380
[1000/5000][75/535][103048] Loss_D: -0.022002 Loss_G: 0.017974 Loss_D_real: -0.028377 Loss_D_fake -0.006375
[1000/5000][80/535][103049] Loss_D: -0.022801 Loss_G: 0.016516 Loss_D_real: -0.019528 Loss_D_fake 0.003273
[1000/5000][85/535][103050] Loss_D: -0.023316 Loss_G: -0.000079 Loss_D_real: -0.017333 Loss_D_fake 0.005982
[1000/5000][90/535][103051] Loss_D: -0.021182 Loss_G: 0.028705 Loss_D_real: -0.022764 Loss_D_fake -0.001581
[1000/5000][95/535][103052] Loss_D: -0.022630 Loss_G: 0.002988 Loss_D_real: -0.019020 Loss_D_fake 0.003610
[1000/5000][100/535][103053] Loss_D: -0.023169 Loss_G: -0.007803 Loss_D_real: -0.004150 Loss_D_fake 0.019020
[1000/5000][105/535][103054] Loss_D: -0.022441 Loss_G: 0.020795 Loss_D_real: -0.032008 Loss_D_fake -0.009566
[1000/5000][110/535][103055] Loss_D: -0.023381 Loss_G: 0.011093 Loss_D_real: -0.011798 Loss_D_fake 0.011583
[1000/5000][115/535][103056] Loss_D: -0.023653 Loss_G: 0.004768 Loss_D_real: -0.022316 Loss_D_fake 0.001336
[1000/5000][120/535][103057] Loss_D: -0.021264 Loss_G: 0.021679 Loss_D_real: -0.027564 Loss_D_fake -0.006301
[1000/5000][125/535][103058] Loss_D: -0.021947 Loss_G: 0.019551 Loss_D_real: -0.035987 Loss_D_fake -0.014040
[1000/5000][130/535][103059] Loss_D: -0.024362 Loss_G: -0.004631 Loss_D_real: -0.005810 Loss_D_fake 0.018552
[1000/5000][135/535][103060] Loss_D: -0.022305 Loss_G: 0.023120 Loss_D_real: -0.027992 Loss_D_fake -0.005687
[1000/5000][140/535][103061] Loss_D: -0.023070 Loss_G: -0.014831 Loss_D_real: -0.012941 Loss_D_fake 0.010129
[1000/5000][145/535][103062] Loss_D: -0.024135 Loss_G: 0.004313 Loss_D_real: -0.022515 Loss_D_fake 0.001621
[1000/5000][150/535][103063] Loss_D: -0.022692 Loss_G: 0.008277 Loss_D_real: -0.025182 Loss_D_fake -0.002490
[1000/5000][155/535][103064] Loss_D: -0.023323 Loss_G: 0.019106 Loss_D_real: -0.017963 Loss_D_fake 0.005361
[1000/5000][160/535][103065] Loss_D: -0.023329 Loss_G: -0.010299 Loss_D_real: -0.007272 Loss_D_fake 0.016057
[1000/5000][165/535][103066] Loss_D: -0.022652 Loss_G: -0.000026 Loss_D_real: -0.006717 Loss_D_fake 0.015936
[1000/5000][170/535][103067] Loss_D: -0.022216 Loss_G: 0.024271 Loss_D_real: -0.032590 Loss_D_fake -0.010374
[1000/5000][175/535][103068] Loss_D: -0.023838 Loss_G: 0.014931 Loss_D_real: -0.016905 Loss_D_fake 0.006933
[1000/5000][180/535][103069] Loss_D: -0.022340 Loss_G: -0.000374 Loss_D_real: -0.010709 Loss_D_fake 0.011631
[1000/5000][185/535][103070] Loss_D: -0.022448 Loss_G: 0.003397 Loss_D_real: -0.029856 Loss_D_fake -0.007408
[1000/5000][190/535][103071] Loss_D: -0.021240 Loss_G: 0.014172 Loss_D_real: -0.024300 Loss_D_fake -0.003060
[1000/5000][195/535][103072] Loss_D: -0.023055 Loss_G: -0.009539 Loss_D_real: -0.011067 Loss_D_fake 0.011988
[1000/5000][200/535][103073] Loss_D: -0.021947 Loss_G: 0.013209 Loss_D_real: -0.029451 Loss_D_fake -0.007505
[1000/5000][205/535][103074] Loss_D: -0.022220 Loss_G: -0.012377 Loss_D_real: -0.005712 Loss_D_fake 0.016507
[1000/5000][210/535][103075] Loss_D: -0.022408 Loss_G: 0.010497 Loss_D_real: -0.029510 Loss_D_fake -0.007103
[1000/5000][215/535][103076] Loss_D: -0.023290 Loss_G: 0.006345 Loss_D_real: -0.012185 Loss_D_fake 0.011106
[1000/5000][220/535][103077] Loss_D: -0.022760 Loss_G: 0.011237 Loss_D_real: -0.016719 Loss_D_fake 0.006041
[1000/5000][225/535][103078] Loss_D: -0.021266 Loss_G: 0.001006 Loss_D_real: -0.014262 Loss_D_fake 0.007004
[1000/5000][230/535][103079] Loss_D: -0.022628 Loss_G: 0.012527 Loss_D_real: -0.014992 Loss_D_fake 0.007637
[1000/5000][235/535][103080] Loss_D: -0.023249 Loss_G: -0.008742 Loss_D_real: -0.003818 Loss_D_fake 0.019431
[1000/5000][240/535][103081] Loss_D: -0.021571 Loss_G: 0.000359 Loss_D_real: -0.017810 Loss_D_fake 0.003761
[1000/5000][245/535][103082] Loss_D: -0.023650 Loss_G: 0.006727 Loss_D_real: -0.018485 Loss_D_fake 0.005166
[1000/5000][250/535][103083] Loss_D: -0.023068 Loss_G: 0.002303 Loss_D_real: -0.028597 Loss_D_fake -0.005530
[1000/5000][255/535][103084] Loss_D: -0.021571 Loss_G: -0.012015 Loss_D_real: -0.008267 Loss_D_fake 0.013304
[1000/5000][260/535][103085] Loss_D: -0.023022 Loss_G: 0.014280 Loss_D_real: -0.011959 Loss_D_fake 0.011063
[1000/5000][265/535][103086] Loss_D: -0.022524 Loss_G: 0.005155 Loss_D_real: -0.016993 Loss_D_fake 0.005530
[1000/5000][270/535][103087] Loss_D: -0.022190 Loss_G: 0.013322 Loss_D_real: -0.027764 Loss_D_fake -0.005574
[1000/5000][275/535][103088] Loss_D: -0.022722 Loss_G: 0.002866 Loss_D_real: -0.014978 Loss_D_fake 0.007744
[1000/5000][280/535][103089] Loss_D: -0.023383 Loss_G: 0.003837 Loss_D_real: -0.021840 Loss_D_fake 0.001543
[1000/5000][285/535][103090] Loss_D: -0.022936 Loss_G: 0.023189 Loss_D_real: -0.030256 Loss_D_fake -0.007320
[1000/5000][290/535][103091] Loss_D: -0.021971 Loss_G: -0.007697 Loss_D_real: -0.003108 Loss_D_fake 0.018863
[1000/5000][295/535][103092] Loss_D: -0.020496 Loss_G: 0.030466 Loss_D_real: -0.040522 Loss_D_fake -0.020025
[1000/5000][300/535][103093] Loss_D: -0.022500 Loss_G: 0.022305 Loss_D_real: -0.021096 Loss_D_fake 0.001404
[1000/5000][305/535][103094] Loss_D: -0.021557 Loss_G: 0.005449 Loss_D_real: -0.016093 Loss_D_fake 0.005464
[1000/5000][310/535][103095] Loss_D: -0.023352 Loss_G: -0.009978 Loss_D_real: -0.017498 Loss_D_fake 0.005854
[1000/5000][315/535][103096] Loss_D: -0.023211 Loss_G: 0.012285 Loss_D_real: -0.021843 Loss_D_fake 0.001368
[1000/5000][320/535][103097] Loss_D: -0.022677 Loss_G: 0.014453 Loss_D_real: -0.028669 Loss_D_fake -0.005992
[1000/5000][325/535][103098] Loss_D: -0.023008 Loss_G: 0.021240 Loss_D_real: -0.030450 Loss_D_fake -0.007442
[1000/5000][330/535][103099] Loss_D: -0.023821 Loss_G: -0.011709 Loss_D_real: -0.015681 Loss_D_fake 0.008140
[1000/5000][335/535][103100] Loss_D: -0.022603 Loss_G: 0.027227 Loss_D_real: -0.022508 Loss_D_fake 0.000096
[1000/5000][340/535][103101] Loss_D: -0.024056 Loss_G: 0.003697 Loss_D_real: -0.018239 Loss_D_fake 0.005817
[1000/5000][345/535][103102] Loss_D: -0.023520 Loss_G: 0.008919 Loss_D_real: -0.025822 Loss_D_fake -0.002302
[1000/5000][350/535][103103] Loss_D: -0.023631 Loss_G: 0.008771 Loss_D_real: -0.026881 Loss_D_fake -0.003250
[1000/5000][355/535][103104] Loss_D: -0.023401 Loss_G: -0.005013 Loss_D_real: -0.009840 Loss_D_fake 0.013561
[1000/5000][360/535][103105] Loss_D: -0.022250 Loss_G: 0.024706 Loss_D_real: -0.025150 Loss_D_fake -0.002900
[1000/5000][365/535][103106] Loss_D: -0.022446 Loss_G: 0.017029 Loss_D_real: -0.029331 Loss_D_fake -0.006885
[1000/5000][370/535][103107] Loss_D: -0.023248 Loss_G: 0.014312 Loss_D_real: -0.029714 Loss_D_fake -0.006466
[1000/5000][375/535][103108] Loss_D: -0.023234 Loss_G: 0.017561 Loss_D_real: -0.022855 Loss_D_fake 0.000380
[1000/5000][380/535][103109] Loss_D: -0.023749 Loss_G: 0.004956 Loss_D_real: -0.012274 Loss_D_fake 0.011475
[1000/5000][385/535][103110] Loss_D: -0.024641 Loss_G: 0.018588 Loss_D_real: -0.029250 Loss_D_fake -0.004609
[1000/5000][390/535][103111] Loss_D: -0.023938 Loss_G: -0.007805 Loss_D_real: -0.006014 Loss_D_fake 0.017924
[1000/5000][395/535][103112] Loss_D: -0.022426 Loss_G: -0.009452 Loss_D_real: -0.004709 Loss_D_fake 0.017717
[1000/5000][400/535][103113] Loss_D: -0.024430 Loss_G: 0.024697 Loss_D_real: -0.018227 Loss_D_fake 0.006202
[1000/5000][405/535][103114] Loss_D: -0.023405 Loss_G: 0.015622 Loss_D_real: -0.015342 Loss_D_fake 0.008064
[1000/5000][410/535][103115] Loss_D: -0.023545 Loss_G: 0.009289 Loss_D_real: -0.029435 Loss_D_fake -0.005890
[1000/5000][415/535][103116] Loss_D: -0.021740 Loss_G: -0.011654 Loss_D_real: -0.012651 Loss_D_fake 0.009089
[1000/5000][420/535][103117] Loss_D: -0.023972 Loss_G: -0.005246 Loss_D_real: -0.013626 Loss_D_fake 0.010346
[1000/5000][425/535][103118] Loss_D: -0.023721 Loss_G: 0.030373 Loss_D_real: -0.023347 Loss_D_fake 0.000374
[1000/5000][430/535][103119] Loss_D: -0.021432 Loss_G: 0.020108 Loss_D_real: -0.029289 Loss_D_fake -0.007857
[1000/5000][435/535][103120] Loss_D: -0.024127 Loss_G: 0.020580 Loss_D_real: -0.028072 Loss_D_fake -0.003945
[1000/5000][440/535][103121] Loss_D: -0.022547 Loss_G: 0.005228 Loss_D_real: -0.016673 Loss_D_fake 0.005875
[1000/5000][445/535][103122] Loss_D: -0.022424 Loss_G: -0.004867 Loss_D_real: -0.005621 Loss_D_fake 0.016802
[1000/5000][450/535][103123] Loss_D: -0.024132 Loss_G: 0.018976 Loss_D_real: -0.023278 Loss_D_fake 0.000853
[1000/5000][455/535][103124] Loss_D: -0.023903 Loss_G: -0.003315 Loss_D_real: -0.008017 Loss_D_fake 0.015886
[1000/5000][460/535][103125] Loss_D: -0.021043 Loss_G: 0.010515 Loss_D_real: -0.037521 Loss_D_fake -0.016478
[1000/5000][465/535][103126] Loss_D: -0.021793 Loss_G: -0.001797 Loss_D_real: -0.010488 Loss_D_fake 0.011306
[1000/5000][470/535][103127] Loss_D: -0.021889 Loss_G: 0.020925 Loss_D_real: -0.020501 Loss_D_fake 0.001389
[1000/5000][475/535][103128] Loss_D: -0.023081 Loss_G: 0.005643 Loss_D_real: -0.022698 Loss_D_fake 0.000384
[1000/5000][480/535][103129] Loss_D: -0.020934 Loss_G: 0.021678 Loss_D_real: -0.026996 Loss_D_fake -0.006062
[1000/5000][485/535][103130] Loss_D: -0.023846 Loss_G: -0.001830 Loss_D_real: -0.014872 Loss_D_fake 0.008974
[1000/5000][490/535][103131] Loss_D: -0.022012 Loss_G: 0.006477 Loss_D_real: -0.012159 Loss_D_fake 0.009853
[1000/5000][495/535][103132] Loss_D: -0.021969 Loss_G: 0.000105 Loss_D_real: -0.014629 Loss_D_fake 0.007340
[1000/5000][500/535][103133] Loss_D: -0.024056 Loss_G: 0.000695 Loss_D_real: -0.013500 Loss_D_fake 0.010557
[1000/5000][505/535][103134] Loss_D: -0.024630 Loss_G: 0.011315 Loss_D_real: -0.020098 Loss_D_fake 0.004532
[1000/5000][510/535][103135] Loss_D: -0.021799 Loss_G: -0.001624 Loss_D_real: -0.002444 Loss_D_fake 0.019355
[1000/5000][515/535][103136] Loss_D: -0.023192 Loss_G: 0.011416 Loss_D_real: -0.013467 Loss_D_fake 0.009725
[1000/5000][520/535][103137] Loss_D: -0.022305 Loss_G: 0.006704 Loss_D_real: -0.025303 Loss_D_fake -0.002999
[1000/5000][525/535][103138] Loss_D: -0.022860 Loss_G: 0.000254 Loss_D_real: -0.016176 Loss_D_fake 0.006684
[1000/5000][530/535][103139] Loss_D: -0.022972 Loss_G: 0.009504 Loss_D_real: -0.028892 Loss_D_fake -0.005921
[1000/5000][535/535][103140] Loss_D: -0.022636 Loss_G: 0.026809 Loss_D_real: -0.030628 Loss_D_fake -0.007992
[1001/5000][5/535][103141] Loss_D: -0.021793 Loss_G: -0.011303 Loss_D_real: -0.006805 Loss_D_fake 0.014988
[1001/5000][10/535][103142] Loss_D: -0.022531 Loss_G: 0.012470 Loss_D_real: -0.024238 Loss_D_fake -0.001707
[1001/5000][15/535][103143] Loss_D: -0.023845 Loss_G: 0.010964 Loss_D_real: -0.019003 Loss_D_fake 0.004842
[1001/5000][20/535][103144] Loss_D: -0.025268 Loss_G: 0.009510 Loss_D_real: -0.017060 Loss_D_fake 0.008209
[1001/5000][25/535][103145] Loss_D: -0.021896 Loss_G: -0.010130 Loss_D_real: -0.000687 Loss_D_fake 0.021209
[1001/5000][30/535][103146] Loss_D: -0.022328 Loss_G: 0.007279 Loss_D_real: -0.017360 Loss_D_fake 0.004968
[1001/5000][35/535][103147] Loss_D: -0.023701 Loss_G: 0.011614 Loss_D_real: -0.021256 Loss_D_fake 0.002445
[1001/5000][40/535][103148] Loss_D: -0.024718 Loss_G: 0.015180 Loss_D_real: -0.015307 Loss_D_fake 0.009411
[1001/5000][45/535][103149] Loss_D: -0.023356 Loss_G: 0.017718 Loss_D_real: -0.028320 Loss_D_fake -0.004965
[1001/5000][50/535][103150] Loss_D: -0.023307 Loss_G: -0.012642 Loss_D_real: -0.007094 Loss_D_fake 0.016212
[1001/5000][55/535][103151] Loss_D: -0.021414 Loss_G: 0.004739 Loss_D_real: -0.021768 Loss_D_fake -0.000354
[1001/5000][60/535][103152] Loss_D: -0.022956 Loss_G: 0.013554 Loss_D_real: -0.035882 Loss_D_fake -0.012926
[1001/5000][65/535][103153] Loss_D: -0.023544 Loss_G: 0.012298 Loss_D_real: -0.016078 Loss_D_fake 0.007466
[1001/5000][70/535][103154] Loss_D: -0.022701 Loss_G: 0.026394 Loss_D_real: -0.019038 Loss_D_fake 0.003662
[1001/5000][75/535][103155] Loss_D: -0.023683 Loss_G: 0.013123 Loss_D_real: -0.012365 Loss_D_fake 0.011319
[1001/5000][80/535][103156] Loss_D: -0.023496 Loss_G: 0.015044 Loss_D_real: -0.031401 Loss_D_fake -0.007905
[1001/5000][85/535][103157] Loss_D: -0.023768 Loss_G: 0.026946 Loss_D_real: -0.017308 Loss_D_fake 0.006460
[1001/5000][90/535][103158] Loss_D: -0.022413 Loss_G: 0.013910 Loss_D_real: -0.018863 Loss_D_fake 0.003550
[1001/5000][95/535][103159] Loss_D: -0.022847 Loss_G: 0.021438 Loss_D_real: -0.029665 Loss_D_fake -0.006817
[1001/5000][100/535][103160] Loss_D: -0.023416 Loss_G: -0.001141 Loss_D_real: -0.014881 Loss_D_fake 0.008535
[1001/5000][105/535][103161] Loss_D: -0.022998 Loss_G: 0.014482 Loss_D_real: -0.026877 Loss_D_fake -0.003880
[1001/5000][110/535][103162] Loss_D: -0.022471 Loss_G: -0.017016 Loss_D_real: -0.009863 Loss_D_fake 0.012607
[1001/5000][115/535][103163] Loss_D: -0.021482 Loss_G: 0.020933 Loss_D_real: -0.031531 Loss_D_fake -0.010049
[1001/5000][120/535][103164] Loss_D: -0.022660 Loss_G: -0.001357 Loss_D_real: -0.008155 Loss_D_fake 0.014504
[1001/5000][125/535][103165] Loss_D: -0.021636 Loss_G: 0.026559 Loss_D_real: -0.028217 Loss_D_fake -0.006581
[1001/5000][130/535][103166] Loss_D: -0.022933 Loss_G: 0.002130 Loss_D_real: -0.021814 Loss_D_fake 0.001119
[1001/5000][135/535][103167] Loss_D: -0.021533 Loss_G: 0.009099 Loss_D_real: -0.017381 Loss_D_fake 0.004152
[1001/5000][140/535][103168] Loss_D: -0.022655 Loss_G: 0.019404 Loss_D_real: -0.031532 Loss_D_fake -0.008877
[1001/5000][145/535][103169] Loss_D: -0.022690 Loss_G: 0.016744 Loss_D_real: -0.028105 Loss_D_fake -0.005415
[1001/5000][150/535][103170] Loss_D: -0.024099 Loss_G: 0.006323 Loss_D_real: -0.028695 Loss_D_fake -0.004596
[1001/5000][155/535][103171] Loss_D: -0.023472 Loss_G: 0.003554 Loss_D_real: -0.013978 Loss_D_fake 0.009494
[1001/5000][160/535][103172] Loss_D: -0.023496 Loss_G: 0.012211 Loss_D_real: -0.016769 Loss_D_fake 0.006727
[1001/5000][165/535][103173] Loss_D: -0.024310 Loss_G: 0.023011 Loss_D_real: -0.027816 Loss_D_fake -0.003506
[1001/5000][170/535][103174] Loss_D: -0.022465 Loss_G: 0.013506 Loss_D_real: -0.018421 Loss_D_fake 0.004044
[1001/5000][175/535][103175] Loss_D: -0.023012 Loss_G: 0.004494 Loss_D_real: -0.019033 Loss_D_fake 0.003979
[1001/5000][180/535][103176] Loss_D: -0.022833 Loss_G: -0.001376 Loss_D_real: -0.010790 Loss_D_fake 0.012044
[1001/5000][185/535][103177] Loss_D: -0.022052 Loss_G: 0.018307 Loss_D_real: -0.021100 Loss_D_fake 0.000953
[1001/5000][190/535][103178] Loss_D: -0.021454 Loss_G: 0.020962 Loss_D_real: -0.010648 Loss_D_fake 0.010805
[1001/5000][195/535][103179] Loss_D: -0.024568 Loss_G: 0.013227 Loss_D_real: -0.030157 Loss_D_fake -0.005588
[1001/5000][200/535][103180] Loss_D: -0.022835 Loss_G: 0.012213 Loss_D_real: -0.019367 Loss_D_fake 0.003468
[1001/5000][205/535][103181] Loss_D: -0.023222 Loss_G: -0.010453 Loss_D_real: -0.004400 Loss_D_fake 0.018822
[1001/5000][210/535][103182] Loss_D: -0.022695 Loss_G: -0.003932 Loss_D_real: -0.012283 Loss_D_fake 0.010412
[1001/5000][215/535][103183] Loss_D: -0.023281 Loss_G: 0.012378 Loss_D_real: -0.027664 Loss_D_fake -0.004383
[1001/5000][220/535][103184] Loss_D: -0.022812 Loss_G: -0.020162 Loss_D_real: -0.009027 Loss_D_fake 0.013784
[1001/5000][225/535][103185] Loss_D: -0.021198 Loss_G: -0.012253 Loss_D_real: -0.005916 Loss_D_fake 0.015282
[1001/5000][230/535][103186] Loss_D: -0.022526 Loss_G: 0.021491 Loss_D_real: -0.018466 Loss_D_fake 0.004060
[1001/5000][235/535][103187] Loss_D: -0.022728 Loss_G: -0.002355 Loss_D_real: -0.016389 Loss_D_fake 0.006339
[1001/5000][240/535][103188] Loss_D: -0.023165 Loss_G: 0.015615 Loss_D_real: -0.024454 Loss_D_fake -0.001289
[1001/5000][245/535][103189] Loss_D: -0.022238 Loss_G: -0.003569 Loss_D_real: -0.002915 Loss_D_fake 0.019323
[1001/5000][250/535][103190] Loss_D: -0.021611 Loss_G: 0.005110 Loss_D_real: -0.007246 Loss_D_fake 0.014365
[1001/5000][255/535][103191] Loss_D: -0.022538 Loss_G: 0.016407 Loss_D_real: -0.026911 Loss_D_fake -0.004373
[1001/5000][260/535][103192] Loss_D: -0.023220 Loss_G: 0.012758 Loss_D_real: -0.011611 Loss_D_fake 0.011609
[1001/5000][265/535][103193] Loss_D: -0.022770 Loss_G: 0.006338 Loss_D_real: -0.018684 Loss_D_fake 0.004086
[1001/5000][270/535][103194] Loss_D: -0.022140 Loss_G: 0.013852 Loss_D_real: -0.028444 Loss_D_fake -0.006304
[1001/5000][275/535][103195] Loss_D: -0.021689 Loss_G: 0.014530 Loss_D_real: -0.016590 Loss_D_fake 0.005099
[1001/5000][280/535][103196] Loss_D: -0.020378 Loss_G: 0.015811 Loss_D_real: -0.030572 Loss_D_fake -0.010194
[1001/5000][285/535][103197] Loss_D: -0.021989 Loss_G: -0.000195 Loss_D_real: -0.005705 Loss_D_fake 0.016283
[1001/5000][290/535][103198] Loss_D: -0.022160 Loss_G: 0.018943 Loss_D_real: -0.025003 Loss_D_fake -0.002843
[1001/5000][295/535][103199] Loss_D: -0.023937 Loss_G: 0.010527 Loss_D_real: -0.027653 Loss_D_fake -0.003716
[1001/5000][300/535][103200] Loss_D: -0.022936 Loss_G: 0.019973 Loss_D_real: -0.027029 Loss_D_fake -0.004093
[1001/5000][305/535][103201] Loss_D: -0.024435 Loss_G: 0.003825 Loss_D_real: -0.009360 Loss_D_fake 0.015075
[1001/5000][310/535][103202] Loss_D: -0.022834 Loss_G: -0.014971 Loss_D_real: -0.009811 Loss_D_fake 0.013023
[1001/5000][315/535][103203] Loss_D: -0.023800 Loss_G: -0.000246 Loss_D_real: -0.017671 Loss_D_fake 0.006128
[1001/5000][320/535][103204] Loss_D: -0.024016 Loss_G: 0.012545 Loss_D_real: -0.016630 Loss_D_fake 0.007386
[1001/5000][325/535][103205] Loss_D: -0.022929 Loss_G: 0.015017 Loss_D_real: -0.017778 Loss_D_fake 0.005151
[1001/5000][330/535][103206] Loss_D: -0.022454 Loss_G: 0.012336 Loss_D_real: -0.025023 Loss_D_fake -0.002569
[1001/5000][335/535][103207] Loss_D: -0.023527 Loss_G: 0.014009 Loss_D_real: -0.016917 Loss_D_fake 0.006610
[1001/5000][340/535][103208] Loss_D: -0.023664 Loss_G: 0.008909 Loss_D_real: -0.016203 Loss_D_fake 0.007461
[1001/5000][345/535][103209] Loss_D: -0.023082 Loss_G: 0.004326 Loss_D_real: -0.021492 Loss_D_fake 0.001590
[1001/5000][350/535][103210] Loss_D: -0.022217 Loss_G: 0.009603 Loss_D_real: -0.016815 Loss_D_fake 0.005401
[1001/5000][355/535][103211] Loss_D: -0.023831 Loss_G: -0.011368 Loss_D_real: -0.015740 Loss_D_fake 0.008091
[1001/5000][360/535][103212] Loss_D: -0.022429 Loss_G: 0.023122 Loss_D_real: -0.020744 Loss_D_fake 0.001685
[1001/5000][365/535][103213] Loss_D: -0.022911 Loss_G: 0.002608 Loss_D_real: -0.005764 Loss_D_fake 0.017146
[1001/5000][370/535][103214] Loss_D: -0.022000 Loss_G: 0.006725 Loss_D_real: -0.017694 Loss_D_fake 0.004306
[1001/5000][375/535][103215] Loss_D: -0.023462 Loss_G: 0.007192 Loss_D_real: -0.011930 Loss_D_fake 0.011532
[1001/5000][380/535][103216] Loss_D: -0.024094 Loss_G: -0.000866 Loss_D_real: -0.018191 Loss_D_fake 0.005902
[1001/5000][385/535][103217] Loss_D: -0.023291 Loss_G: 0.017580 Loss_D_real: -0.034277 Loss_D_fake -0.010987
[1001/5000][390/535][103218] Loss_D: -0.022902 Loss_G: 0.000223 Loss_D_real: -0.010312 Loss_D_fake 0.012590
[1001/5000][395/535][103219] Loss_D: -0.021800 Loss_G: 0.028077 Loss_D_real: -0.027897 Loss_D_fake -0.006097
[1001/5000][400/535][103220] Loss_D: -0.023186 Loss_G: 0.001740 Loss_D_real: -0.018974 Loss_D_fake 0.004212
[1001/5000][405/535][103221] Loss_D: -0.022584 Loss_G: 0.026631 Loss_D_real: -0.026633 Loss_D_fake -0.004050
[1001/5000][410/535][103222] Loss_D: -0.023399 Loss_G: 0.017508 Loss_D_real: -0.018270 Loss_D_fake 0.005128
[1001/5000][415/535][103223] Loss_D: -0.023589 Loss_G: 0.000730 Loss_D_real: -0.015006 Loss_D_fake 0.008583
[1001/5000][420/535][103224] Loss_D: -0.021434 Loss_G: 0.016004 Loss_D_real: -0.034763 Loss_D_fake -0.013329
[1001/5000][425/535][103225] Loss_D: -0.022372 Loss_G: 0.009874 Loss_D_real: -0.028907 Loss_D_fake -0.006535
[1001/5000][430/535][103226] Loss_D: -0.023401 Loss_G: 0.005465 Loss_D_real: -0.015866 Loss_D_fake 0.007535
[1001/5000][435/535][103227] Loss_D: -0.021878 Loss_G: 0.004218 Loss_D_real: -0.012483 Loss_D_fake 0.009395
[1001/5000][440/535][103228] Loss_D: -0.021600 Loss_G: 0.029277 Loss_D_real: -0.032831 Loss_D_fake -0.011232
[1001/5000][445/535][103229] Loss_D: -0.022641 Loss_G: 0.017411 Loss_D_real: -0.034343 Loss_D_fake -0.011701
[1001/5000][450/535][103230] Loss_D: -0.023983 Loss_G: 0.011838 Loss_D_real: -0.021519 Loss_D_fake 0.002464
[1001/5000][455/535][103231] Loss_D: -0.023676 Loss_G: 0.009905 Loss_D_real: -0.024977 Loss_D_fake -0.001301
[1001/5000][460/535][103232] Loss_D: -0.024064 Loss_G: -0.002600 Loss_D_real: -0.006788 Loss_D_fake 0.017276
[1001/5000][465/535][103233] Loss_D: -0.021856 Loss_G: -0.014540 Loss_D_real: -0.007831 Loss_D_fake 0.014025
[1001/5000][470/535][103234] Loss_D: -0.022736 Loss_G: 0.003843 Loss_D_real: -0.015624 Loss_D_fake 0.007112
[1001/5000][475/535][103235] Loss_D: -0.023141 Loss_G: 0.006117 Loss_D_real: -0.014360 Loss_D_fake 0.008781
[1001/5000][480/535][103236] Loss_D: -0.023599 Loss_G: -0.002892 Loss_D_real: -0.011688 Loss_D_fake 0.011911
[1001/5000][485/535][103237] Loss_D: -0.022913 Loss_G: -0.002913 Loss_D_real: -0.013485 Loss_D_fake 0.009428
[1001/5000][490/535][103238] Loss_D: -0.023730 Loss_G: 0.014372 Loss_D_real: -0.021221 Loss_D_fake 0.002509
[1001/5000][495/535][103239] Loss_D: -0.024143 Loss_G: 0.016102 Loss_D_real: -0.011377 Loss_D_fake 0.012766
[1001/5000][500/535][103240] Loss_D: -0.022609 Loss_G: -0.015561 Loss_D_real: -0.012611 Loss_D_fake 0.009999
[1001/5000][505/535][103241] Loss_D: -0.022463 Loss_G: 0.030424 Loss_D_real: -0.028212 Loss_D_fake -0.005749
[1001/5000][510/535][103242] Loss_D: -0.023524 Loss_G: -0.000976 Loss_D_real: -0.017346 Loss_D_fake 0.006178
[1001/5000][515/535][103243] Loss_D: -0.023265 Loss_G: 0.010311 Loss_D_real: -0.012240 Loss_D_fake 0.011024
[1001/5000][520/535][103244] Loss_D: -0.021376 Loss_G: 0.014258 Loss_D_real: -0.029386 Loss_D_fake -0.008010
[1001/5000][525/535][103245] Loss_D: -0.021940 Loss_G: 0.023844 Loss_D_real: -0.032440 Loss_D_fake -0.010500
[1001/5000][530/535][103246] Loss_D: -0.023113 Loss_G: 0.013249 Loss_D_real: -0.015899 Loss_D_fake 0.007214
[1001/5000][535/535][103247] Loss_D: -0.022107 Loss_G: 0.041402 Loss_D_real: -0.023598 Loss_D_fake -0.001491
[1002/5000][5/535][103248] Loss_D: -0.021629 Loss_G: 0.019676 Loss_D_real: -0.026598 Loss_D_fake -0.004970
[1002/5000][10/535][103249] Loss_D: -0.022378 Loss_G: 0.002787 Loss_D_real: -0.018868 Loss_D_fake 0.003510
[1002/5000][15/535][103250] Loss_D: -0.023477 Loss_G: -0.002210 Loss_D_real: -0.013357 Loss_D_fake 0.010120
[1002/5000][20/535][103251] Loss_D: -0.020434 Loss_G: 0.027556 Loss_D_real: -0.037985 Loss_D_fake -0.017551
[1002/5000][25/535][103252] Loss_D: -0.024483 Loss_G: 0.001849 Loss_D_real: -0.024152 Loss_D_fake 0.000331
[1002/5000][30/535][103253] Loss_D: -0.022726 Loss_G: 0.008825 Loss_D_real: -0.010055 Loss_D_fake 0.012671
[1002/5000][35/535][103254] Loss_D: -0.022230 Loss_G: 0.015777 Loss_D_real: -0.029039 Loss_D_fake -0.006809
[1002/5000][40/535][103255] Loss_D: -0.019946 Loss_G: 0.030356 Loss_D_real: -0.029133 Loss_D_fake -0.009187
[1002/5000][45/535][103256] Loss_D: -0.023849 Loss_G: 0.006981 Loss_D_real: -0.028716 Loss_D_fake -0.004867
[1002/5000][50/535][103257] Loss_D: -0.021924 Loss_G: 0.002529 Loss_D_real: -0.023527 Loss_D_fake -0.001603
[1002/5000][55/535][103258] Loss_D: -0.022122 Loss_G: 0.018255 Loss_D_real: -0.034115 Loss_D_fake -0.011994
[1002/5000][60/535][103259] Loss_D: -0.023774 Loss_G: -0.006435 Loss_D_real: -0.007674 Loss_D_fake 0.016100
[1002/5000][65/535][103260] Loss_D: -0.023057 Loss_G: 0.019851 Loss_D_real: -0.020539 Loss_D_fake 0.002518
[1002/5000][70/535][103261] Loss_D: -0.023319 Loss_G: 0.007221 Loss_D_real: -0.001524 Loss_D_fake 0.021795
[1002/5000][75/535][103262] Loss_D: -0.023029 Loss_G: -0.016094 Loss_D_real: -0.014288 Loss_D_fake 0.008741
[1002/5000][80/535][103263] Loss_D: -0.021816 Loss_G: -0.010064 Loss_D_real: -0.006092 Loss_D_fake 0.015724
[1002/5000][85/535][103264] Loss_D: -0.022585 Loss_G: 0.011775 Loss_D_real: -0.025666 Loss_D_fake -0.003081
[1002/5000][90/535][103265] Loss_D: -0.021851 Loss_G: 0.006554 Loss_D_real: -0.023357 Loss_D_fake -0.001507
[1002/5000][95/535][103266] Loss_D: -0.022543 Loss_G: 0.011349 Loss_D_real: -0.024536 Loss_D_fake -0.001993
[1002/5000][100/535][103267] Loss_D: -0.023402 Loss_G: 0.010648 Loss_D_real: -0.022020 Loss_D_fake 0.001383
[1002/5000][105/535][103268] Loss_D: -0.022612 Loss_G: 0.010032 Loss_D_real: -0.018264 Loss_D_fake 0.004348
[1002/5000][110/535][103269] Loss_D: -0.022847 Loss_G: 0.008949 Loss_D_real: -0.016925 Loss_D_fake 0.005922
[1002/5000][115/535][103270] Loss_D: -0.022246 Loss_G: -0.010721 Loss_D_real: -0.008856 Loss_D_fake 0.013390
[1002/5000][120/535][103271] Loss_D: -0.021643 Loss_G: 0.007150 Loss_D_real: -0.019526 Loss_D_fake 0.002117
[1002/5000][125/535][103272] Loss_D: -0.023312 Loss_G: 0.014333 Loss_D_real: -0.020413 Loss_D_fake 0.002899
[1002/5000][130/535][103273] Loss_D: -0.022730 Loss_G: -0.009576 Loss_D_real: -0.003586 Loss_D_fake 0.019144
[1002/5000][135/535][103274] Loss_D: -0.022210 Loss_G: 0.022002 Loss_D_real: -0.029214 Loss_D_fake -0.007004
[1002/5000][140/535][103275] Loss_D: -0.021361 Loss_G: 0.004683 Loss_D_real: -0.024818 Loss_D_fake -0.003456
[1002/5000][145/535][103276] Loss_D: -0.024195 Loss_G: 0.022252 Loss_D_real: -0.023333 Loss_D_fake 0.000862
[1002/5000][150/535][103277] Loss_D: -0.024269 Loss_G: 0.016619 Loss_D_real: -0.008475 Loss_D_fake 0.015793
[1002/5000][155/535][103278] Loss_D: -0.023556 Loss_G: 0.010951 Loss_D_real: -0.020709 Loss_D_fake 0.002847
[1002/5000][160/535][103279] Loss_D: -0.023782 Loss_G: 0.019155 Loss_D_real: -0.022164 Loss_D_fake 0.001619
[1002/5000][165/535][103280] Loss_D: -0.021212 Loss_G: 0.028428 Loss_D_real: -0.032161 Loss_D_fake -0.010949
[1002/5000][170/535][103281] Loss_D: -0.022838 Loss_G: 0.009151 Loss_D_real: -0.020905 Loss_D_fake 0.001933
[1002/5000][175/535][103282] Loss_D: -0.022144 Loss_G: -0.000615 Loss_D_real: -0.019107 Loss_D_fake 0.003037
[1002/5000][180/535][103283] Loss_D: -0.023361 Loss_G: -0.012170 Loss_D_real: -0.009314 Loss_D_fake 0.014048
[1002/5000][185/535][103284] Loss_D: -0.022216 Loss_G: 0.028930 Loss_D_real: -0.029944 Loss_D_fake -0.007728
[1002/5000][190/535][103285] Loss_D: -0.021819 Loss_G: 0.001771 Loss_D_real: -0.006364 Loss_D_fake 0.015455
[1002/5000][195/535][103286] Loss_D: -0.022173 Loss_G: 0.018033 Loss_D_real: -0.031760 Loss_D_fake -0.009587
[1002/5000][200/535][103287] Loss_D: -0.024885 Loss_G: 0.009842 Loss_D_real: -0.020990 Loss_D_fake 0.003895
[1002/5000][205/535][103288] Loss_D: -0.024140 Loss_G: 0.026769 Loss_D_real: -0.034984 Loss_D_fake -0.010844
[1002/5000][210/535][103289] Loss_D: -0.022664 Loss_G: 0.007279 Loss_D_real: -0.024437 Loss_D_fake -0.001773
[1002/5000][215/535][103290] Loss_D: -0.023397 Loss_G: 0.027552 Loss_D_real: -0.035695 Loss_D_fake -0.012297
[1002/5000][220/535][103291] Loss_D: -0.023015 Loss_G: 0.012977 Loss_D_real: -0.020486 Loss_D_fake 0.002529
[1002/5000][225/535][103292] Loss_D: -0.024313 Loss_G: -0.005553 Loss_D_real: -0.012524 Loss_D_fake 0.011789
[1002/5000][230/535][103293] Loss_D: -0.023649 Loss_G: -0.000033 Loss_D_real: -0.024889 Loss_D_fake -0.001240
[1002/5000][235/535][103294] Loss_D: -0.023014 Loss_G: 0.006993 Loss_D_real: -0.017276 Loss_D_fake 0.005738
[1002/5000][240/535][103295] Loss_D: -0.023329 Loss_G: 0.029433 Loss_D_real: -0.019425 Loss_D_fake 0.003904
[1002/5000][245/535][103296] Loss_D: -0.023133 Loss_G: 0.002875 Loss_D_real: -0.011033 Loss_D_fake 0.012099
[1002/5000][250/535][103297] Loss_D: -0.021993 Loss_G: 0.024005 Loss_D_real: -0.025977 Loss_D_fake -0.003984
[1002/5000][255/535][103298] Loss_D: -0.022425 Loss_G: 0.001336 Loss_D_real: -0.009085 Loss_D_fake 0.013341
[1002/5000][260/535][103299] Loss_D: -0.023355 Loss_G: 0.012570 Loss_D_real: -0.030450 Loss_D_fake -0.007095
[1002/5000][265/535][103300] Loss_D: -0.023125 Loss_G: 0.021372 Loss_D_real: -0.033662 Loss_D_fake -0.010537
[1002/5000][270/535][103301] Loss_D: -0.022382 Loss_G: -0.013123 Loss_D_real: -0.003491 Loss_D_fake 0.018891
[1002/5000][275/535][103302] Loss_D: -0.022449 Loss_G: 0.016805 Loss_D_real: -0.020280 Loss_D_fake 0.002170
[1002/5000][280/535][103303] Loss_D: -0.023180 Loss_G: 0.007057 Loss_D_real: -0.013283 Loss_D_fake 0.009896
[1002/5000][285/535][103304] Loss_D: -0.020879 Loss_G: 0.004081 Loss_D_real: -0.015920 Loss_D_fake 0.004958
[1002/5000][290/535][103305] Loss_D: -0.022227 Loss_G: 0.009056 Loss_D_real: -0.027730 Loss_D_fake -0.005504
[1002/5000][295/535][103306] Loss_D: -0.022419 Loss_G: 0.008067 Loss_D_real: -0.022892 Loss_D_fake -0.000474
[1002/5000][300/535][103307] Loss_D: -0.021665 Loss_G: 0.005314 Loss_D_real: -0.009148 Loss_D_fake 0.012517
[1002/5000][305/535][103308] Loss_D: -0.022997 Loss_G: 0.006486 Loss_D_real: -0.021998 Loss_D_fake 0.000999
[1002/5000][310/535][103309] Loss_D: -0.022277 Loss_G: 0.006352 Loss_D_real: -0.024924 Loss_D_fake -0.002647
[1002/5000][315/535][103310] Loss_D: -0.023378 Loss_G: 0.001651 Loss_D_real: -0.020076 Loss_D_fake 0.003302
[1002/5000][320/535][103311] Loss_D: -0.023165 Loss_G: 0.008247 Loss_D_real: -0.026640 Loss_D_fake -0.003475
[1002/5000][325/535][103312] Loss_D: -0.023002 Loss_G: 0.003161 Loss_D_real: -0.024729 Loss_D_fake -0.001727
[1002/5000][330/535][103313] Loss_D: -0.023450 Loss_G: 0.006044 Loss_D_real: -0.011953 Loss_D_fake 0.011497
[1002/5000][335/535][103314] Loss_D: -0.021784 Loss_G: 0.015458 Loss_D_real: -0.030825 Loss_D_fake -0.009041
[1002/5000][340/535][103315] Loss_D: -0.023184 Loss_G: 0.000388 Loss_D_real: -0.010058 Loss_D_fake 0.013126
[1002/5000][345/535][103316] Loss_D: -0.024349 Loss_G: 0.008000 Loss_D_real: -0.023154 Loss_D_fake 0.001195
[1002/5000][350/535][103317] Loss_D: -0.023780 Loss_G: 0.011158 Loss_D_real: -0.018819 Loss_D_fake 0.004961
[1002/5000][355/535][103318] Loss_D: -0.022863 Loss_G: 0.019102 Loss_D_real: -0.022885 Loss_D_fake -0.000021
[1002/5000][360/535][103319] Loss_D: -0.024426 Loss_G: 0.004364 Loss_D_real: -0.008885 Loss_D_fake 0.015541
[1002/5000][365/535][103320] Loss_D: -0.023338 Loss_G: 0.002211 Loss_D_real: -0.021823 Loss_D_fake 0.001515
[1002/5000][370/535][103321] Loss_D: -0.023533 Loss_G: 0.005099 Loss_D_real: -0.016366 Loss_D_fake 0.007167
[1002/5000][375/535][103322] Loss_D: -0.024232 Loss_G: 0.017303 Loss_D_real: -0.020466 Loss_D_fake 0.003766
[1002/5000][380/535][103323] Loss_D: -0.022894 Loss_G: 0.008501 Loss_D_real: -0.020280 Loss_D_fake 0.002613
[1002/5000][385/535][103324] Loss_D: -0.022558 Loss_G: 0.009578 Loss_D_real: -0.022898 Loss_D_fake -0.000340
[1002/5000][390/535][103325] Loss_D: -0.023681 Loss_G: 0.020121 Loss_D_real: -0.025758 Loss_D_fake -0.002077
[1002/5000][395/535][103326] Loss_D: -0.023302 Loss_G: 0.009228 Loss_D_real: -0.021616 Loss_D_fake 0.001686
[1002/5000][400/535][103327] Loss_D: -0.023063 Loss_G: 0.030808 Loss_D_real: -0.036127 Loss_D_fake -0.013064
[1002/5000][405/535][103328] Loss_D: -0.023152 Loss_G: 0.007396 Loss_D_real: -0.016156 Loss_D_fake 0.006996
[1002/5000][410/535][103329] Loss_D: -0.022962 Loss_G: 0.015720 Loss_D_real: -0.022435 Loss_D_fake 0.000527
[1002/5000][415/535][103330] Loss_D: -0.021963 Loss_G: -0.006716 Loss_D_real: -0.004441 Loss_D_fake 0.017522
[1002/5000][420/535][103331] Loss_D: -0.021790 Loss_G: 0.022813 Loss_D_real: -0.024157 Loss_D_fake -0.002367
[1002/5000][425/535][103332] Loss_D: -0.023273 Loss_G: 0.016968 Loss_D_real: -0.030541 Loss_D_fake -0.007268
[1002/5000][430/535][103333] Loss_D: -0.022562 Loss_G: 0.013744 Loss_D_real: -0.020230 Loss_D_fake 0.002332
[1002/5000][435/535][103334] Loss_D: -0.023099 Loss_G: 0.004132 Loss_D_real: -0.030547 Loss_D_fake -0.007449
[1002/5000][440/535][103335] Loss_D: -0.023129 Loss_G: -0.005302 Loss_D_real: -0.006898 Loss_D_fake 0.016231
[1002/5000][445/535][103336] Loss_D: -0.023208 Loss_G: -0.001098 Loss_D_real: -0.012510 Loss_D_fake 0.010698
[1002/5000][450/535][103337] Loss_D: -0.022129 Loss_G: 0.006976 Loss_D_real: -0.020215 Loss_D_fake 0.001914
[1002/5000][455/535][103338] Loss_D: -0.023234 Loss_G: 0.013312 Loss_D_real: -0.024486 Loss_D_fake -0.001252
[1002/5000][460/535][103339] Loss_D: -0.022418 Loss_G: 0.021413 Loss_D_real: -0.026896 Loss_D_fake -0.004478
[1002/5000][465/535][103340] Loss_D: -0.022766 Loss_G: 0.020403 Loss_D_real: -0.024347 Loss_D_fake -0.001581
[1002/5000][470/535][103341] Loss_D: -0.023106 Loss_G: 0.017328 Loss_D_real: -0.028835 Loss_D_fake -0.005729
[1002/5000][475/535][103342] Loss_D: -0.023809 Loss_G: 0.003606 Loss_D_real: -0.017105 Loss_D_fake 0.006704
[1002/5000][480/535][103343] Loss_D: -0.023560 Loss_G: 0.018452 Loss_D_real: -0.022422 Loss_D_fake 0.001138
[1002/5000][485/535][103344] Loss_D: -0.021014 Loss_G: -0.007764 Loss_D_real: 0.008029 Loss_D_fake 0.029043
[1002/5000][490/535][103345] Loss_D: -0.021630 Loss_G: 0.000687 Loss_D_real: -0.008773 Loss_D_fake 0.012857
[1002/5000][495/535][103346] Loss_D: -0.022595 Loss_G: 0.010782 Loss_D_real: -0.023975 Loss_D_fake -0.001381
[1002/5000][500/535][103347] Loss_D: -0.021753 Loss_G: 0.014260 Loss_D_real: -0.010165 Loss_D_fake 0.011587
[1002/5000][505/535][103348] Loss_D: -0.021631 Loss_G: 0.027519 Loss_D_real: -0.024369 Loss_D_fake -0.002738
[1002/5000][510/535][103349] Loss_D: -0.022926 Loss_G: -0.004246 Loss_D_real: -0.008299 Loss_D_fake 0.014628
[1002/5000][515/535][103350] Loss_D: -0.021784 Loss_G: 0.006159 Loss_D_real: -0.026059 Loss_D_fake -0.004275
[1002/5000][520/535][103351] Loss_D: -0.021382 Loss_G: 0.008706 Loss_D_real: -0.020051 Loss_D_fake 0.001332
[1002/5000][525/535][103352] Loss_D: -0.023810 Loss_G: 0.011860 Loss_D_real: -0.022453 Loss_D_fake 0.001357
[1002/5000][530/535][103353] Loss_D: -0.022606 Loss_G: -0.001006 Loss_D_real: -0.011086 Loss_D_fake 0.011520
[1002/5000][535/535][103354] Loss_D: -0.022665 Loss_G: 0.031746 Loss_D_real: -0.020396 Loss_D_fake 0.002269
[1003/5000][5/535][103355] Loss_D: -0.022095 Loss_G: -0.006971 Loss_D_real: -0.007677 Loss_D_fake 0.014418
[1003/5000][10/535][103356] Loss_D: -0.023366 Loss_G: 0.021439 Loss_D_real: -0.026976 Loss_D_fake -0.003610
[1003/5000][15/535][103357] Loss_D: -0.023886 Loss_G: 0.001007 Loss_D_real: -0.007921 Loss_D_fake 0.015965
[1003/5000][20/535][103358] Loss_D: -0.023193 Loss_G: -0.007546 Loss_D_real: 0.001020 Loss_D_fake 0.024212
[1003/5000][25/535][103359] Loss_D: -0.023027 Loss_G: 0.012067 Loss_D_real: -0.024999 Loss_D_fake -0.001972
[1003/5000][30/535][103360] Loss_D: -0.022220 Loss_G: 0.006921 Loss_D_real: -0.021471 Loss_D_fake 0.000749
[1003/5000][35/535][103361] Loss_D: -0.021784 Loss_G: -0.004640 Loss_D_real: -0.005366 Loss_D_fake 0.016418
[1003/5000][40/535][103362] Loss_D: -0.020756 Loss_G: 0.017282 Loss_D_real: -0.032754 Loss_D_fake -0.011999
[1003/5000][45/535][103363] Loss_D: -0.022526 Loss_G: 0.005801 Loss_D_real: -0.017374 Loss_D_fake 0.005152
[1003/5000][50/535][103364] Loss_D: -0.022614 Loss_G: 0.022474 Loss_D_real: -0.018030 Loss_D_fake 0.004584
[1003/5000][55/535][103365] Loss_D: -0.023027 Loss_G: 0.006033 Loss_D_real: -0.007309 Loss_D_fake 0.015718
[1003/5000][60/535][103366] Loss_D: -0.021409 Loss_G: -0.002447 Loss_D_real: -0.005995 Loss_D_fake 0.015415
[1003/5000][65/535][103367] Loss_D: -0.024048 Loss_G: 0.011427 Loss_D_real: -0.025906 Loss_D_fake -0.001858
[1003/5000][70/535][103368] Loss_D: -0.022096 Loss_G: 0.016084 Loss_D_real: -0.028116 Loss_D_fake -0.006020
[1003/5000][75/535][103369] Loss_D: -0.022863 Loss_G: 0.006533 Loss_D_real: -0.024101 Loss_D_fake -0.001238
[1003/5000][80/535][103370] Loss_D: -0.021868 Loss_G: -0.010964 Loss_D_real: -0.005723 Loss_D_fake 0.016145
[1003/5000][85/535][103371] Loss_D: -0.022319 Loss_G: 0.025963 Loss_D_real: -0.031779 Loss_D_fake -0.009460
[1003/5000][90/535][103372] Loss_D: -0.021459 Loss_G: -0.010955 Loss_D_real: -0.006144 Loss_D_fake 0.015315
[1003/5000][95/535][103373] Loss_D: -0.022530 Loss_G: -0.005485 Loss_D_real: -0.005870 Loss_D_fake 0.016660
[1003/5000][100/535][103374] Loss_D: -0.021523 Loss_G: 0.023404 Loss_D_real: -0.033383 Loss_D_fake -0.011860
[1003/5000][105/535][103375] Loss_D: -0.023496 Loss_G: -0.014348 Loss_D_real: -0.010246 Loss_D_fake 0.013250
[1003/5000][110/535][103376] Loss_D: -0.022780 Loss_G: 0.010253 Loss_D_real: -0.016603 Loss_D_fake 0.006176
[1003/5000][115/535][103377] Loss_D: -0.024311 Loss_G: 0.011440 Loss_D_real: -0.011021 Loss_D_fake 0.013290
[1003/5000][120/535][103378] Loss_D: -0.022531 Loss_G: 0.008937 Loss_D_real: -0.014725 Loss_D_fake 0.007806
[1003/5000][125/535][103379] Loss_D: -0.023707 Loss_G: 0.018465 Loss_D_real: -0.033177 Loss_D_fake -0.009469
[1003/5000][130/535][103380] Loss_D: -0.022582 Loss_G: 0.012104 Loss_D_real: -0.020944 Loss_D_fake 0.001638
[1003/5000][135/535][103381] Loss_D: -0.024128 Loss_G: 0.008288 Loss_D_real: -0.012710 Loss_D_fake 0.011418
[1003/5000][140/535][103382] Loss_D: -0.022271 Loss_G: 0.004048 Loss_D_real: -0.005530 Loss_D_fake 0.016741
[1003/5000][145/535][103383] Loss_D: -0.023682 Loss_G: 0.033810 Loss_D_real: -0.029086 Loss_D_fake -0.005405
[1003/5000][150/535][103384] Loss_D: -0.022279 Loss_G: 0.003436 Loss_D_real: -0.013595 Loss_D_fake 0.008684
[1003/5000][155/535][103385] Loss_D: -0.022664 Loss_G: 0.015221 Loss_D_real: -0.026580 Loss_D_fake -0.003916
[1003/5000][160/535][103386] Loss_D: -0.023184 Loss_G: 0.025628 Loss_D_real: -0.027892 Loss_D_fake -0.004708
[1003/5000][165/535][103387] Loss_D: -0.023215 Loss_G: -0.011060 Loss_D_real: -0.002198 Loss_D_fake 0.021017
[1003/5000][170/535][103388] Loss_D: -0.023480 Loss_G: 0.002789 Loss_D_real: -0.010602 Loss_D_fake 0.012878
[1003/5000][175/535][103389] Loss_D: -0.023569 Loss_G: 0.010972 Loss_D_real: -0.018490 Loss_D_fake 0.005079
[1003/5000][180/535][103390] Loss_D: -0.023017 Loss_G: 0.007897 Loss_D_real: -0.011946 Loss_D_fake 0.011071
[1003/5000][185/535][103391] Loss_D: -0.023662 Loss_G: 0.013053 Loss_D_real: -0.017207 Loss_D_fake 0.006455
[1003/5000][190/535][103392] Loss_D: -0.023677 Loss_G: 0.027154 Loss_D_real: -0.032928 Loss_D_fake -0.009251
[1003/5000][195/535][103393] Loss_D: -0.023177 Loss_G: 0.016703 Loss_D_real: -0.015090 Loss_D_fake 0.008087
[1003/5000][200/535][103394] Loss_D: -0.021732 Loss_G: 0.015311 Loss_D_real: -0.026499 Loss_D_fake -0.004767
[1003/5000][205/535][103395] Loss_D: -0.022583 Loss_G: 0.021008 Loss_D_real: -0.026023 Loss_D_fake -0.003440
[1003/5000][210/535][103396] Loss_D: -0.021561 Loss_G: 0.022376 Loss_D_real: -0.027150 Loss_D_fake -0.005589
[1003/5000][215/535][103397] Loss_D: -0.020961 Loss_G: 0.017163 Loss_D_real: -0.017813 Loss_D_fake 0.003147
[1003/5000][220/535][103398] Loss_D: -0.022980 Loss_G: 0.003943 Loss_D_real: -0.019734 Loss_D_fake 0.003246
[1003/5000][225/535][103399] Loss_D: -0.024350 Loss_G: 0.011646 Loss_D_real: -0.021531 Loss_D_fake 0.002819
[1003/5000][230/535][103400] Loss_D: -0.022647 Loss_G: 0.021026 Loss_D_real: -0.017205 Loss_D_fake 0.005442
[1003/5000][235/535][103401] Loss_D: -0.022197 Loss_G: 0.017474 Loss_D_real: -0.020085 Loss_D_fake 0.002112
[1003/5000][240/535][103402] Loss_D: -0.022753 Loss_G: 0.006490 Loss_D_real: -0.013802 Loss_D_fake 0.008951
[1003/5000][245/535][103403] Loss_D: -0.021717 Loss_G: 0.000386 Loss_D_real: -0.009401 Loss_D_fake 0.012316
[1003/5000][250/535][103404] Loss_D: -0.022603 Loss_G: 0.019522 Loss_D_real: -0.028753 Loss_D_fake -0.006150
[1003/5000][255/535][103405] Loss_D: -0.022382 Loss_G: 0.021176 Loss_D_real: -0.032123 Loss_D_fake -0.009741
[1003/5000][260/535][103406] Loss_D: -0.023563 Loss_G: 0.008288 Loss_D_real: -0.008566 Loss_D_fake 0.014997
[1003/5000][265/535][103407] Loss_D: -0.021653 Loss_G: 0.020576 Loss_D_real: -0.030498 Loss_D_fake -0.008844
[1003/5000][270/535][103408] Loss_D: -0.022069 Loss_G: 0.017548 Loss_D_real: -0.028815 Loss_D_fake -0.006746
[1003/5000][275/535][103409] Loss_D: -0.022818 Loss_G: -0.006984 Loss_D_real: -0.013957 Loss_D_fake 0.008861
[1003/5000][280/535][103410] Loss_D: -0.023279 Loss_G: 0.023219 Loss_D_real: -0.023840 Loss_D_fake -0.000561
[1003/5000][285/535][103411] Loss_D: -0.021319 Loss_G: 0.012083 Loss_D_real: -0.016956 Loss_D_fake 0.004363
[1003/5000][290/535][103412] Loss_D: -0.021918 Loss_G: 0.010291 Loss_D_real: -0.021236 Loss_D_fake 0.000682
[1003/5000][295/535][103413] Loss_D: -0.021887 Loss_G: 0.012888 Loss_D_real: -0.008142 Loss_D_fake 0.013745
[1003/5000][300/535][103414] Loss_D: -0.023430 Loss_G: 0.002168 Loss_D_real: -0.022020 Loss_D_fake 0.001409
[1003/5000][305/535][103415] Loss_D: -0.020609 Loss_G: 0.019493 Loss_D_real: -0.028428 Loss_D_fake -0.007819
[1003/5000][310/535][103416] Loss_D: -0.021922 Loss_G: -0.001032 Loss_D_real: -0.011642 Loss_D_fake 0.010280
[1003/5000][315/535][103417] Loss_D: -0.021567 Loss_G: 0.010644 Loss_D_real: -0.029890 Loss_D_fake -0.008324
[1003/5000][320/535][103418] Loss_D: -0.021839 Loss_G: -0.000342 Loss_D_real: -0.007084 Loss_D_fake 0.014755
[1003/5000][325/535][103419] Loss_D: -0.022013 Loss_G: 0.018888 Loss_D_real: -0.023875 Loss_D_fake -0.001862
[1003/5000][330/535][103420] Loss_D: -0.022372 Loss_G: 0.002310 Loss_D_real: -0.015000 Loss_D_fake 0.007372
[1003/5000][335/535][103421] Loss_D: -0.023563 Loss_G: 0.027274 Loss_D_real: -0.022563 Loss_D_fake 0.001000
[1003/5000][340/535][103422] Loss_D: -0.021899 Loss_G: 0.021452 Loss_D_real: -0.030020 Loss_D_fake -0.008121
[1003/5000][345/535][103423] Loss_D: -0.023013 Loss_G: -0.003954 Loss_D_real: -0.008135 Loss_D_fake 0.014878
[1003/5000][350/535][103424] Loss_D: -0.021551 Loss_G: 0.011361 Loss_D_real: -0.024935 Loss_D_fake -0.003384
[1003/5000][355/535][103425] Loss_D: -0.023291 Loss_G: 0.004344 Loss_D_real: -0.021276 Loss_D_fake 0.002015
[1003/5000][360/535][103426] Loss_D: -0.021241 Loss_G: 0.017256 Loss_D_real: -0.020199 Loss_D_fake 0.001042
[1003/5000][365/535][103427] Loss_D: -0.023137 Loss_G: 0.002357 Loss_D_real: -0.008255 Loss_D_fake 0.014882
[1003/5000][370/535][103428] Loss_D: -0.020643 Loss_G: -0.011006 Loss_D_real: -0.001177 Loss_D_fake 0.019466
[1003/5000][375/535][103429] Loss_D: -0.019943 Loss_G: 0.028642 Loss_D_real: -0.024339 Loss_D_fake -0.004397
[1003/5000][380/535][103430] Loss_D: -0.022478 Loss_G: 0.002389 Loss_D_real: -0.006569 Loss_D_fake 0.015909
[1003/5000][385/535][103431] Loss_D: -0.022018 Loss_G: 0.018130 Loss_D_real: -0.027855 Loss_D_fake -0.005836
[1003/5000][390/535][103432] Loss_D: -0.022788 Loss_G: -0.000004 Loss_D_real: -0.017959 Loss_D_fake 0.004829
[1003/5000][395/535][103433] Loss_D: -0.020515 Loss_G: 0.027154 Loss_D_real: -0.039164 Loss_D_fake -0.018649
[1003/5000][400/535][103434] Loss_D: -0.022282 Loss_G: 0.001905 Loss_D_real: -0.017885 Loss_D_fake 0.004396
[1003/5000][405/535][103435] Loss_D: -0.023699 Loss_G: 0.016818 Loss_D_real: -0.028752 Loss_D_fake -0.005053
[1003/5000][410/535][103436] Loss_D: -0.022839 Loss_G: -0.001721 Loss_D_real: -0.000851 Loss_D_fake 0.021988
[1003/5000][415/535][103437] Loss_D: -0.021166 Loss_G: -0.016471 Loss_D_real: 0.009131 Loss_D_fake 0.030297
[1003/5000][420/535][103438] Loss_D: -0.021093 Loss_G: 0.002403 Loss_D_real: -0.021475 Loss_D_fake -0.000382
[1003/5000][425/535][103439] Loss_D: -0.022739 Loss_G: -0.000346 Loss_D_real: -0.017826 Loss_D_fake 0.004914
[1003/5000][430/535][103440] Loss_D: -0.023740 Loss_G: -0.000337 Loss_D_real: -0.021125 Loss_D_fake 0.002615
[1003/5000][435/535][103441] Loss_D: -0.023756 Loss_G: 0.013901 Loss_D_real: -0.021562 Loss_D_fake 0.002194
[1003/5000][440/535][103442] Loss_D: -0.023376 Loss_G: 0.028060 Loss_D_real: -0.017578 Loss_D_fake 0.005798
[1003/5000][445/535][103443] Loss_D: -0.022927 Loss_G: 0.010875 Loss_D_real: -0.012624 Loss_D_fake 0.010303
[1003/5000][450/535][103444] Loss_D: -0.023891 Loss_G: 0.008923 Loss_D_real: -0.008932 Loss_D_fake 0.014959
[1003/5000][455/535][103445] Loss_D: -0.021816 Loss_G: 0.002221 Loss_D_real: -0.015530 Loss_D_fake 0.006286
[1003/5000][460/535][103446] Loss_D: -0.025071 Loss_G: 0.020049 Loss_D_real: -0.019249 Loss_D_fake 0.005822
[1003/5000][465/535][103447] Loss_D: -0.024190 Loss_G: 0.023200 Loss_D_real: -0.033231 Loss_D_fake -0.009041
[1003/5000][470/535][103448] Loss_D: -0.024098 Loss_G: -0.010876 Loss_D_real: -0.007863 Loss_D_fake 0.016235
[1003/5000][475/535][103449] Loss_D: -0.023221 Loss_G: 0.003770 Loss_D_real: -0.022374 Loss_D_fake 0.000846
[1003/5000][480/535][103450] Loss_D: -0.022204 Loss_G: 0.008076 Loss_D_real: -0.016462 Loss_D_fake 0.005742
[1003/5000][485/535][103451] Loss_D: -0.022720 Loss_G: 0.001301 Loss_D_real: -0.015453 Loss_D_fake 0.007267
[1003/5000][490/535][103452] Loss_D: -0.023749 Loss_G: 0.011074 Loss_D_real: -0.008972 Loss_D_fake 0.014777
[1003/5000][495/535][103453] Loss_D: -0.022705 Loss_G: -0.000403 Loss_D_real: 0.002709 Loss_D_fake 0.025414
[1003/5000][500/535][103454] Loss_D: -0.023588 Loss_G: 0.012913 Loss_D_real: -0.019643 Loss_D_fake 0.003945
[1003/5000][505/535][103455] Loss_D: -0.022447 Loss_G: 0.016544 Loss_D_real: -0.017956 Loss_D_fake 0.004491
[1003/5000][510/535][103456] Loss_D: -0.024268 Loss_G: -0.003964 Loss_D_real: -0.003208 Loss_D_fake 0.021059
[1003/5000][515/535][103457] Loss_D: -0.022540 Loss_G: 0.018327 Loss_D_real: -0.018195 Loss_D_fake 0.004345
[1003/5000][520/535][103458] Loss_D: -0.022610 Loss_G: 0.019892 Loss_D_real: -0.023945 Loss_D_fake -0.001335
[1003/5000][525/535][103459] Loss_D: -0.020867 Loss_G: -0.008690 Loss_D_real: 0.000595 Loss_D_fake 0.021462
[1003/5000][530/535][103460] Loss_D: -0.021392 Loss_G: 0.020146 Loss_D_real: -0.033087 Loss_D_fake -0.011695
[1003/5000][535/535][103461] Loss_D: -0.022602 Loss_G: 0.001884 Loss_D_real: -0.004440 Loss_D_fake 0.018162
[1004/5000][5/535][103462] Loss_D: -0.021322 Loss_G: -0.004157 Loss_D_real: -0.007700 Loss_D_fake 0.013622
[1004/5000][10/535][103463] Loss_D: -0.022285 Loss_G: -0.002083 Loss_D_real: -0.016248 Loss_D_fake 0.006037
[1004/5000][15/535][103464] Loss_D: -0.023108 Loss_G: 0.026928 Loss_D_real: -0.012799 Loss_D_fake 0.010309
[1004/5000][20/535][103465] Loss_D: -0.022179 Loss_G: -0.006875 Loss_D_real: -0.008778 Loss_D_fake 0.013401
[1004/5000][25/535][103466] Loss_D: -0.023105 Loss_G: 0.011090 Loss_D_real: -0.013430 Loss_D_fake 0.009675
[1004/5000][30/535][103467] Loss_D: -0.021966 Loss_G: 0.016401 Loss_D_real: -0.025178 Loss_D_fake -0.003212
[1004/5000][35/535][103468] Loss_D: -0.023408 Loss_G: 0.005553 Loss_D_real: -0.025116 Loss_D_fake -0.001708
[1004/5000][40/535][103469] Loss_D: -0.022823 Loss_G: 0.015729 Loss_D_real: -0.020774 Loss_D_fake 0.002049
[1004/5000][45/535][103470] Loss_D: -0.022183 Loss_G: 0.022968 Loss_D_real: -0.019641 Loss_D_fake 0.002542
[1004/5000][50/535][103471] Loss_D: -0.022121 Loss_G: -0.000004 Loss_D_real: 0.000943 Loss_D_fake 0.023064
[1004/5000][55/535][103472] Loss_D: -0.021692 Loss_G: -0.005225 Loss_D_real: -0.002485 Loss_D_fake 0.019207
[1004/5000][60/535][103473] Loss_D: -0.023628 Loss_G: 0.016260 Loss_D_real: -0.017581 Loss_D_fake 0.006047
[1004/5000][65/535][103474] Loss_D: -0.022691 Loss_G: 0.004002 Loss_D_real: -0.009498 Loss_D_fake 0.013192
[1004/5000][70/535][103475] Loss_D: -0.021512 Loss_G: 0.006703 Loss_D_real: -0.010310 Loss_D_fake 0.011203
[1004/5000][75/535][103476] Loss_D: -0.023056 Loss_G: 0.007963 Loss_D_real: -0.014550 Loss_D_fake 0.008506
[1004/5000][80/535][103477] Loss_D: -0.022177 Loss_G: 0.013498 Loss_D_real: -0.029796 Loss_D_fake -0.007620
[1004/5000][85/535][103478] Loss_D: -0.023385 Loss_G: 0.011082 Loss_D_real: -0.011692 Loss_D_fake 0.011693
[1004/5000][90/535][103479] Loss_D: -0.022743 Loss_G: 0.018676 Loss_D_real: -0.022012 Loss_D_fake 0.000731
[1004/5000][95/535][103480] Loss_D: -0.021990 Loss_G: 0.013808 Loss_D_real: -0.022027 Loss_D_fake -0.000036
[1004/5000][100/535][103481] Loss_D: -0.021274 Loss_G: -0.008804 Loss_D_real: -0.002245 Loss_D_fake 0.019029
[1004/5000][105/535][103482] Loss_D: -0.021535 Loss_G: -0.005745 Loss_D_real: -0.014543 Loss_D_fake 0.006991
[1004/5000][110/535][103483] Loss_D: -0.022172 Loss_G: -0.002083 Loss_D_real: -0.007456 Loss_D_fake 0.014716
[1004/5000][115/535][103484] Loss_D: -0.022262 Loss_G: 0.001247 Loss_D_real: -0.021852 Loss_D_fake 0.000410
[1004/5000][120/535][103485] Loss_D: -0.022709 Loss_G: 0.019008 Loss_D_real: -0.024779 Loss_D_fake -0.002070
[1004/5000][125/535][103486] Loss_D: -0.022176 Loss_G: 0.010797 Loss_D_real: -0.014707 Loss_D_fake 0.007469
[1004/5000][130/535][103487] Loss_D: -0.021975 Loss_G: 0.028150 Loss_D_real: -0.021626 Loss_D_fake 0.000349
[1004/5000][135/535][103488] Loss_D: -0.019722 Loss_G: 0.020165 Loss_D_real: -0.024639 Loss_D_fake -0.004917
[1004/5000][140/535][103489] Loss_D: -0.021759 Loss_G: -0.000125 Loss_D_real: -0.014457 Loss_D_fake 0.007302
[1004/5000][145/535][103490] Loss_D: -0.021613 Loss_G: 0.015633 Loss_D_real: -0.017197 Loss_D_fake 0.004416
[1004/5000][150/535][103491] Loss_D: -0.022987 Loss_G: 0.009466 Loss_D_real: -0.013157 Loss_D_fake 0.009830
[1004/5000][155/535][103492] Loss_D: -0.022767 Loss_G: -0.002372 Loss_D_real: -0.009729 Loss_D_fake 0.013038
[1004/5000][160/535][103493] Loss_D: -0.022556 Loss_G: 0.022509 Loss_D_real: -0.024370 Loss_D_fake -0.001814
[1004/5000][165/535][103494] Loss_D: -0.022632 Loss_G: -0.017549 Loss_D_real: 0.003136 Loss_D_fake 0.025767
[1004/5000][170/535][103495] Loss_D: -0.023381 Loss_G: 0.001815 Loss_D_real: -0.006309 Loss_D_fake 0.017071
[1004/5000][175/535][103496] Loss_D: -0.023155 Loss_G: 0.005573 Loss_D_real: -0.007791 Loss_D_fake 0.015364
[1004/5000][180/535][103497] Loss_D: -0.021492 Loss_G: 0.016448 Loss_D_real: -0.031363 Loss_D_fake -0.009871
[1004/5000][185/535][103498] Loss_D: -0.022919 Loss_G: -0.002910 Loss_D_real: -0.011841 Loss_D_fake 0.011077
[1004/5000][190/535][103499] Loss_D: -0.022343 Loss_G: 0.005957 Loss_D_real: -0.002614 Loss_D_fake 0.019729
[1004/5000][195/535][103500] Loss_D: -0.021648 Loss_G: 0.003306 Loss_D_real: -0.001485 Loss_D_fake 0.020163
[1004/5000][295/535][103501] Loss_D: -0.026956 Loss_G: 0.015301 Loss_D_real: -0.010554 Loss_D_fake 0.016403
[1004/5000][300/535][103502] Loss_D: -0.021331 Loss_G: 0.003831 Loss_D_real: -0.006755 Loss_D_fake 0.014576
[1004/5000][305/535][103503] Loss_D: -0.022076 Loss_G: 0.021386 Loss_D_real: -0.022210 Loss_D_fake -0.000134
[1004/5000][310/535][103504] Loss_D: -0.020460 Loss_G: 0.007669 Loss_D_real: -0.020148 Loss_D_fake 0.000312
[1004/5000][315/535][103505] Loss_D: -0.021111 Loss_G: 0.000520 Loss_D_real: -0.011637 Loss_D_fake 0.009474
[1004/5000][320/535][103506] Loss_D: -0.021514 Loss_G: 0.000477 Loss_D_real: -0.010666 Loss_D_fake 0.010848
[1004/5000][325/535][103507] Loss_D: -0.021035 Loss_G: -0.001552 Loss_D_real: -0.009089 Loss_D_fake 0.011946
[1004/5000][330/535][103508] Loss_D: -0.022695 Loss_G: 0.003194 Loss_D_real: -0.006519 Loss_D_fake 0.016176
[1004/5000][335/535][103509] Loss_D: -0.020986 Loss_G: 0.023913 Loss_D_real: -0.033377 Loss_D_fake -0.012390
[1004/5000][340/535][103510] Loss_D: -0.023026 Loss_G: 0.007951 Loss_D_real: -0.016693 Loss_D_fake 0.006333
[1004/5000][345/535][103511] Loss_D: -0.022701 Loss_G: 0.002169 Loss_D_real: -0.021396 Loss_D_fake 0.001305
[1004/5000][350/535][103512] Loss_D: -0.021317 Loss_G: 0.006004 Loss_D_real: -0.021518 Loss_D_fake -0.000201
[1004/5000][355/535][103513] Loss_D: -0.021219 Loss_G: -0.000670 Loss_D_real: -0.019607 Loss_D_fake 0.001613
[1004/5000][360/535][103514] Loss_D: -0.021840 Loss_G: 0.003505 Loss_D_real: -0.007572 Loss_D_fake 0.014268
[1004/5000][365/535][103515] Loss_D: -0.023165 Loss_G: 0.014453 Loss_D_real: -0.013072 Loss_D_fake 0.010094
[1004/5000][370/535][103516] Loss_D: -0.023349 Loss_G: 0.000312 Loss_D_real: -0.017275 Loss_D_fake 0.006074
[1004/5000][375/535][103517] Loss_D: -0.022517 Loss_G: 0.029260 Loss_D_real: -0.015486 Loss_D_fake 0.007032
[1004/5000][380/535][103518] Loss_D: -0.022650 Loss_G: 0.029170 Loss_D_real: -0.027401 Loss_D_fake -0.004750
[1004/5000][385/535][103519] Loss_D: -0.023044 Loss_G: 0.019916 Loss_D_real: -0.016065 Loss_D_fake 0.006979
[1004/5000][390/535][103520] Loss_D: -0.020682 Loss_G: 0.028488 Loss_D_real: -0.031066 Loss_D_fake -0.010384
[1004/5000][395/535][103521] Loss_D: -0.022833 Loss_G: -0.001753 Loss_D_real: -0.010253 Loss_D_fake 0.012580
[1004/5000][400/535][103522] Loss_D: -0.019718 Loss_G: 0.031365 Loss_D_real: -0.031656 Loss_D_fake -0.011938
[1004/5000][405/535][103523] Loss_D: -0.021921 Loss_G: 0.011229 Loss_D_real: -0.020613 Loss_D_fake 0.001308
[1004/5000][410/535][103524] Loss_D: -0.022318 Loss_G: 0.010354 Loss_D_real: -0.007610 Loss_D_fake 0.014709
[1004/5000][415/535][103525] Loss_D: -0.022701 Loss_G: 0.004226 Loss_D_real: -0.007436 Loss_D_fake 0.015265
[1004/5000][420/535][103526] Loss_D: -0.023375 Loss_G: 0.012905 Loss_D_real: -0.022301 Loss_D_fake 0.001074
[1004/5000][425/535][103527] Loss_D: -0.023195 Loss_G: 0.002099 Loss_D_real: -0.001071 Loss_D_fake 0.022124
[1004/5000][430/535][103528] Loss_D: -0.022879 Loss_G: 0.009578 Loss_D_real: -0.018773 Loss_D_fake 0.004106
[1004/5000][435/535][103529] Loss_D: -0.022291 Loss_G: 0.007571 Loss_D_real: -0.013556 Loss_D_fake 0.008735
[1004/5000][440/535][103530] Loss_D: -0.023418 Loss_G: 0.008714 Loss_D_real: -0.025360 Loss_D_fake -0.001942
[1004/5000][445/535][103531] Loss_D: -0.023822 Loss_G: 0.000303 Loss_D_real: -0.009716 Loss_D_fake 0.014106
[1004/5000][450/535][103532] Loss_D: -0.022572 Loss_G: -0.000321 Loss_D_real: -0.004685 Loss_D_fake 0.017887
[1004/5000][455/535][103533] Loss_D: -0.022664 Loss_G: 0.012890 Loss_D_real: -0.002801 Loss_D_fake 0.019863
[1004/5000][460/535][103534] Loss_D: -0.022200 Loss_G: 0.017130 Loss_D_real: -0.021354 Loss_D_fake 0.000846
[1004/5000][465/535][103535] Loss_D: -0.021684 Loss_G: 0.035069 Loss_D_real: -0.023936 Loss_D_fake -0.002251
[1004/5000][470/535][103536] Loss_D: -0.022295 Loss_G: 0.008055 Loss_D_real: -0.018586 Loss_D_fake 0.003709
[1004/5000][475/535][103537] Loss_D: -0.023126 Loss_G: 0.013454 Loss_D_real: -0.020072 Loss_D_fake 0.003054
[1004/5000][480/535][103538] Loss_D: -0.022544 Loss_G: -0.011802 Loss_D_real: -0.005759 Loss_D_fake 0.016785
[1004/5000][485/535][103539] Loss_D: -0.021656 Loss_G: -0.006526 Loss_D_real: 0.004239 Loss_D_fake 0.025895
[1004/5000][490/535][103540] Loss_D: -0.023157 Loss_G: 0.009450 Loss_D_real: -0.014191 Loss_D_fake 0.008966
[1004/5000][495/535][103541] Loss_D: -0.023089 Loss_G: -0.000317 Loss_D_real: -0.003096 Loss_D_fake 0.019993
[1004/5000][500/535][103542] Loss_D: -0.024304 Loss_G: 0.011424 Loss_D_real: -0.007078 Loss_D_fake 0.017226
[1004/5000][505/535][103543] Loss_D: -0.022806 Loss_G: -0.006541 Loss_D_real: -0.012241 Loss_D_fake 0.010565
[1004/5000][510/535][103544] Loss_D: -0.023955 Loss_G: 0.016121 Loss_D_real: -0.010989 Loss_D_fake 0.012966
[1004/5000][515/535][103545] Loss_D: -0.020871 Loss_G: 0.023950 Loss_D_real: -0.028845 Loss_D_fake -0.007974
[1004/5000][520/535][103546] Loss_D: -0.022694 Loss_G: 0.013495 Loss_D_real: -0.009280 Loss_D_fake 0.013414
[1004/5000][525/535][103547] Loss_D: -0.022018 Loss_G: 0.010315 Loss_D_real: -0.027839 Loss_D_fake -0.005821
[1004/5000][530/535][103548] Loss_D: -0.022363 Loss_G: 0.026117 Loss_D_real: -0.036586 Loss_D_fake -0.014222
[1004/5000][535/535][103549] Loss_D: -0.023910 Loss_G: -0.003297 Loss_D_real: -0.021880 Loss_D_fake 0.002029
[1005/5000][5/535][103550] Loss_D: -0.021723 Loss_G: -0.008081 Loss_D_real: -0.002542 Loss_D_fake 0.019181
[1005/5000][10/535][103551] Loss_D: -0.022897 Loss_G: 0.020670 Loss_D_real: -0.030946 Loss_D_fake -0.008049
[1005/5000][15/535][103552] Loss_D: -0.024044 Loss_G: 0.017786 Loss_D_real: -0.021331 Loss_D_fake 0.002712
[1005/5000][20/535][103553] Loss_D: -0.023030 Loss_G: 0.005366 Loss_D_real: -0.025203 Loss_D_fake -0.002174
[1005/5000][25/535][103554] Loss_D: -0.023532 Loss_G: 0.011333 Loss_D_real: -0.024480 Loss_D_fake -0.000948
[1005/5000][30/535][103555] Loss_D: -0.022166 Loss_G: 0.023402 Loss_D_real: -0.020306 Loss_D_fake 0.001860
[1005/5000][35/535][103556] Loss_D: -0.022413 Loss_G: -0.002151 Loss_D_real: -0.009021 Loss_D_fake 0.013392
[1005/5000][40/535][103557] Loss_D: -0.022387 Loss_G: 0.015410 Loss_D_real: -0.024824 Loss_D_fake -0.002437
[1005/5000][45/535][103558] Loss_D: -0.022829 Loss_G: -0.000840 Loss_D_real: 0.001371 Loss_D_fake 0.024201
[1005/5000][50/535][103559] Loss_D: -0.022622 Loss_G: 0.022161 Loss_D_real: -0.031472 Loss_D_fake -0.008850
[1005/5000][55/535][103560] Loss_D: -0.022551 Loss_G: -0.016209 Loss_D_real: 0.002859 Loss_D_fake 0.025410
[1005/5000][60/535][103561] Loss_D: -0.022730 Loss_G: 0.020971 Loss_D_real: -0.020226 Loss_D_fake 0.002504
[1005/5000][65/535][103562] Loss_D: -0.022543 Loss_G: 0.005882 Loss_D_real: -0.010548 Loss_D_fake 0.011995
[1005/5000][70/535][103563] Loss_D: -0.022223 Loss_G: 0.018598 Loss_D_real: -0.029995 Loss_D_fake -0.007772
[1005/5000][75/535][103564] Loss_D: -0.022745 Loss_G: 0.012783 Loss_D_real: -0.004988 Loss_D_fake 0.017758
[1005/5000][80/535][103565] Loss_D: -0.022246 Loss_G: 0.005979 Loss_D_real: -0.016110 Loss_D_fake 0.006136
[1005/5000][85/535][103566] Loss_D: -0.021463 Loss_G: 0.005093 Loss_D_real: -0.009710 Loss_D_fake 0.011753
[1005/5000][90/535][103567] Loss_D: -0.023201 Loss_G: 0.007702 Loss_D_real: -0.002272 Loss_D_fake 0.020929
[1005/5000][95/535][103568] Loss_D: -0.023153 Loss_G: 0.005177 Loss_D_real: -0.016479 Loss_D_fake 0.006674
[1005/5000][100/535][103569] Loss_D: -0.022869 Loss_G: -0.002519 Loss_D_real: -0.016997 Loss_D_fake 0.005872
[1005/5000][105/535][103570] Loss_D: -0.024108 Loss_G: 0.020558 Loss_D_real: -0.008072 Loss_D_fake 0.016036
[1005/5000][110/535][103571] Loss_D: -0.022985 Loss_G: 0.012940 Loss_D_real: -0.019965 Loss_D_fake 0.003020
[1005/5000][115/535][103572] Loss_D: -0.022680 Loss_G: 0.020403 Loss_D_real: -0.025776 Loss_D_fake -0.003096
[1005/5000][120/535][103573] Loss_D: -0.024208 Loss_G: 0.024109 Loss_D_real: -0.025761 Loss_D_fake -0.001553
[1005/5000][125/535][103574] Loss_D: -0.023526 Loss_G: 0.018194 Loss_D_real: -0.013633 Loss_D_fake 0.009893
[1005/5000][130/535][103575] Loss_D: -0.021986 Loss_G: 0.013786 Loss_D_real: -0.024404 Loss_D_fake -0.002418
[1005/5000][135/535][103576] Loss_D: -0.022116 Loss_G: -0.005923 Loss_D_real: -0.011055 Loss_D_fake 0.011061
[1005/5000][140/535][103577] Loss_D: -0.023023 Loss_G: 0.009582 Loss_D_real: -0.016087 Loss_D_fake 0.006937
[1005/5000][145/535][103578] Loss_D: -0.022735 Loss_G: 0.027603 Loss_D_real: -0.025387 Loss_D_fake -0.002652
[1005/5000][150/535][103579] Loss_D: -0.023389 Loss_G: 0.006414 Loss_D_real: -0.009547 Loss_D_fake 0.013842
[1005/5000][155/535][103580] Loss_D: -0.021351 Loss_G: -0.019019 Loss_D_real: 0.004470 Loss_D_fake 0.025822
[1005/5000][160/535][103581] Loss_D: -0.023726 Loss_G: 0.013862 Loss_D_real: -0.011776 Loss_D_fake 0.011950
[1005/5000][165/535][103582] Loss_D: -0.022477 Loss_G: 0.003351 Loss_D_real: -0.010023 Loss_D_fake 0.012454
[1005/5000][170/535][103583] Loss_D: -0.022750 Loss_G: -0.006959 Loss_D_real: -0.011396 Loss_D_fake 0.011354
[1005/5000][175/535][103584] Loss_D: -0.022700 Loss_G: 0.003024 Loss_D_real: -0.012934 Loss_D_fake 0.009766
[1005/5000][180/535][103585] Loss_D: -0.022273 Loss_G: 0.015242 Loss_D_real: -0.023120 Loss_D_fake -0.000847
[1005/5000][185/535][103586] Loss_D: -0.022675 Loss_G: -0.009335 Loss_D_real: -0.011474 Loss_D_fake 0.011201
[1005/5000][190/535][103587] Loss_D: -0.022525 Loss_G: -0.006790 Loss_D_real: 0.009612 Loss_D_fake 0.032138
[1005/5000][195/535][103588] Loss_D: -0.023457 Loss_G: 0.002157 Loss_D_real: -0.010712 Loss_D_fake 0.012745
[1005/5000][200/535][103589] Loss_D: -0.020848 Loss_G: 0.013900 Loss_D_real: -0.019426 Loss_D_fake 0.001422
[1005/5000][205/535][103590] Loss_D: -0.022629 Loss_G: 0.011761 Loss_D_real: -0.019862 Loss_D_fake 0.002768
[1005/5000][210/535][103591] Loss_D: -0.022913 Loss_G: 0.023533 Loss_D_real: -0.022016 Loss_D_fake 0.000897
[1005/5000][215/535][103592] Loss_D: -0.022242 Loss_G: 0.002103 Loss_D_real: -0.006216 Loss_D_fake 0.016026
[1005/5000][220/535][103593] Loss_D: -0.020944 Loss_G: 0.020881 Loss_D_real: -0.021995 Loss_D_fake -0.001052
[1005/5000][225/535][103594] Loss_D: -0.022734 Loss_G: 0.004099 Loss_D_real: -0.013408 Loss_D_fake 0.009326
[1005/5000][230/535][103595] Loss_D: -0.023587 Loss_G: 0.012255 Loss_D_real: -0.011653 Loss_D_fake 0.011934
[1005/5000][235/535][103596] Loss_D: -0.022945 Loss_G: -0.005279 Loss_D_real: -0.010088 Loss_D_fake 0.012857
[1005/5000][240/535][103597] Loss_D: -0.021840 Loss_G: 0.026974 Loss_D_real: -0.034209 Loss_D_fake -0.012369
[1005/5000][245/535][103598] Loss_D: -0.022602 Loss_G: 0.026300 Loss_D_real: -0.022545 Loss_D_fake 0.000057
[1005/5000][250/535][103599] Loss_D: -0.023053 Loss_G: 0.021325 Loss_D_real: -0.028229 Loss_D_fake -0.005176
[1005/5000][255/535][103600] Loss_D: -0.022884 Loss_G: 0.003737 Loss_D_real: -0.012839 Loss_D_fake 0.010045
[1005/5000][260/535][103601] Loss_D: -0.021305 Loss_G: 0.021446 Loss_D_real: -0.026502 Loss_D_fake -0.005197
[1005/5000][265/535][103602] Loss_D: -0.021803 Loss_G: 0.005888 Loss_D_real: -0.008505 Loss_D_fake 0.013298
[1005/5000][270/535][103603] Loss_D: -0.021617 Loss_G: 0.013318 Loss_D_real: -0.020635 Loss_D_fake 0.000982
[1005/5000][275/535][103604] Loss_D: -0.020653 Loss_G: 0.019908 Loss_D_real: -0.036231 Loss_D_fake -0.015578
[1005/5000][280/535][103605] Loss_D: -0.021993 Loss_G: -0.013750 Loss_D_real: -0.003730 Loss_D_fake 0.018263
[1005/5000][285/535][103606] Loss_D: -0.021013 Loss_G: 0.005551 Loss_D_real: -0.012242 Loss_D_fake 0.008770
[1005/5000][290/535][103607] Loss_D: -0.022450 Loss_G: 0.008996 Loss_D_real: -0.009894 Loss_D_fake 0.012556
[1005/5000][295/535][103608] Loss_D: -0.022212 Loss_G: 0.003348 Loss_D_real: -0.004705 Loss_D_fake 0.017508
[1005/5000][300/535][103609] Loss_D: -0.021410 Loss_G: 0.015464 Loss_D_real: -0.011377 Loss_D_fake 0.010033
[1005/5000][305/535][103610] Loss_D: -0.021448 Loss_G: 0.014722 Loss_D_real: -0.014074 Loss_D_fake 0.007374
[1005/5000][310/535][103611] Loss_D: -0.021899 Loss_G: -0.006868 Loss_D_real: -0.008167 Loss_D_fake 0.013731
[1005/5000][315/535][103612] Loss_D: -0.022230 Loss_G: 0.017970 Loss_D_real: -0.021186 Loss_D_fake 0.001044
[1005/5000][320/535][103613] Loss_D: -0.021036 Loss_G: 0.011609 Loss_D_real: -0.021105 Loss_D_fake -0.000068
[1005/5000][325/535][103614] Loss_D: -0.023860 Loss_G: 0.015979 Loss_D_real: -0.012006 Loss_D_fake 0.011854
[1005/5000][330/535][103615] Loss_D: -0.022499 Loss_G: -0.005840 Loss_D_real: -0.001174 Loss_D_fake 0.021325
[1005/5000][335/535][103616] Loss_D: -0.022335 Loss_G: 0.019624 Loss_D_real: -0.024829 Loss_D_fake -0.002495
[1005/5000][340/535][103617] Loss_D: -0.023845 Loss_G: 0.020637 Loss_D_real: -0.032571 Loss_D_fake -0.008726
[1005/5000][345/535][103618] Loss_D: -0.024851 Loss_G: 0.010070 Loss_D_real: -0.017248 Loss_D_fake 0.007604
[1005/5000][350/535][103619] Loss_D: -0.024537 Loss_G: 0.010707 Loss_D_real: -0.008129 Loss_D_fake 0.016408
[1005/5000][355/535][103620] Loss_D: -0.023074 Loss_G: 0.034615 Loss_D_real: -0.021865 Loss_D_fake 0.001210
[1005/5000][360/535][103621] Loss_D: -0.023387 Loss_G: 0.013561 Loss_D_real: -0.024853 Loss_D_fake -0.001466
[1005/5000][365/535][103622] Loss_D: -0.023436 Loss_G: 0.023325 Loss_D_real: -0.033957 Loss_D_fake -0.010521
[1005/5000][370/535][103623] Loss_D: -0.022913 Loss_G: 0.000885 Loss_D_real: -0.005390 Loss_D_fake 0.017523
[1005/5000][375/535][103624] Loss_D: -0.023223 Loss_G: 0.005458 Loss_D_real: -0.023445 Loss_D_fake -0.000222
[1005/5000][380/535][103625] Loss_D: -0.022006 Loss_G: 0.001388 Loss_D_real: -0.010944 Loss_D_fake 0.011063
[1005/5000][385/535][103626] Loss_D: -0.022896 Loss_G: 0.023494 Loss_D_real: -0.019499 Loss_D_fake 0.003397
[1005/5000][390/535][103627] Loss_D: -0.022792 Loss_G: 0.003519 Loss_D_real: -0.019423 Loss_D_fake 0.003369
[1005/5000][395/535][103628] Loss_D: -0.023498 Loss_G: 0.011678 Loss_D_real: -0.012863 Loss_D_fake 0.010635
[1005/5000][400/535][103629] Loss_D: -0.023675 Loss_G: 0.021949 Loss_D_real: -0.026102 Loss_D_fake -0.002427
[1005/5000][405/535][103630] Loss_D: -0.024258 Loss_G: 0.021192 Loss_D_real: -0.021235 Loss_D_fake 0.003023
[1005/5000][410/535][103631] Loss_D: -0.022722 Loss_G: 0.008907 Loss_D_real: -0.020071 Loss_D_fake 0.002651
[1005/5000][415/535][103632] Loss_D: -0.022645 Loss_G: 0.007729 Loss_D_real: -0.020007 Loss_D_fake 0.002638
[1005/5000][420/535][103633] Loss_D: -0.022025 Loss_G: 0.039441 Loss_D_real: -0.024925 Loss_D_fake -0.002900
[1005/5000][425/535][103634] Loss_D: -0.021150 Loss_G: 0.020160 Loss_D_real: -0.031186 Loss_D_fake -0.010036
[1005/5000][430/535][103635] Loss_D: -0.024154 Loss_G: 0.006459 Loss_D_real: -0.024397 Loss_D_fake -0.000244
[1005/5000][435/535][103636] Loss_D: -0.022619 Loss_G: -0.003392 Loss_D_real: -0.004483 Loss_D_fake 0.018136
[1005/5000][440/535][103637] Loss_D: -0.022338 Loss_G: 0.012549 Loss_D_real: -0.017010 Loss_D_fake 0.005329
[1005/5000][445/535][103638] Loss_D: -0.023634 Loss_G: 0.019449 Loss_D_real: -0.027695 Loss_D_fake -0.004062
[1005/5000][450/535][103639] Loss_D: -0.025146 Loss_G: 0.002468 Loss_D_real: -0.021130 Loss_D_fake 0.004016
[1005/5000][455/535][103640] Loss_D: -0.022308 Loss_G: 0.017188 Loss_D_real: -0.016182 Loss_D_fake 0.006126
[1005/5000][460/535][103641] Loss_D: -0.023140 Loss_G: 0.026572 Loss_D_real: -0.021221 Loss_D_fake 0.001919
[1005/5000][465/535][103642] Loss_D: -0.022725 Loss_G: 0.000980 Loss_D_real: -0.003829 Loss_D_fake 0.018896
[1005/5000][470/535][103643] Loss_D: -0.023895 Loss_G: 0.015458 Loss_D_real: -0.024001 Loss_D_fake -0.000105
[1005/5000][475/535][103644] Loss_D: -0.022578 Loss_G: -0.005473 Loss_D_real: -0.017062 Loss_D_fake 0.005515
[1005/5000][480/535][103645] Loss_D: -0.021247 Loss_G: 0.010309 Loss_D_real: -0.014580 Loss_D_fake 0.006668
[1005/5000][485/535][103646] Loss_D: -0.022431 Loss_G: 0.011538 Loss_D_real: -0.014573 Loss_D_fake 0.007857
[1005/5000][490/535][103647] Loss_D: -0.023484 Loss_G: 0.005597 Loss_D_real: -0.009626 Loss_D_fake 0.013858
[1005/5000][495/535][103648] Loss_D: -0.022794 Loss_G: 0.034509 Loss_D_real: -0.020398 Loss_D_fake 0.002396
[1005/5000][500/535][103649] Loss_D: -0.022345 Loss_G: -0.007552 Loss_D_real: -0.012433 Loss_D_fake 0.009912
[1005/5000][505/535][103650] Loss_D: -0.024197 Loss_G: 0.018283 Loss_D_real: -0.025609 Loss_D_fake -0.001413
[1005/5000][510/535][103651] Loss_D: -0.023258 Loss_G: 0.004193 Loss_D_real: -0.009886 Loss_D_fake 0.013371
[1005/5000][515/535][103652] Loss_D: -0.023030 Loss_G: -0.004288 Loss_D_real: -0.024704 Loss_D_fake -0.001674
[1005/5000][520/535][103653] Loss_D: -0.022432 Loss_G: 0.017082 Loss_D_real: -0.016663 Loss_D_fake 0.005769
[1005/5000][525/535][103654] Loss_D: -0.022725 Loss_G: 0.005071 Loss_D_real: -0.010411 Loss_D_fake 0.012314
[1005/5000][530/535][103655] Loss_D: -0.022864 Loss_G: 0.018258 Loss_D_real: -0.024504 Loss_D_fake -0.001640
[1005/5000][535/535][103656] Loss_D: -0.024089 Loss_G: -0.016142 Loss_D_real: -0.006388 Loss_D_fake 0.017701
[1006/5000][5/535][103657] Loss_D: -0.023794 Loss_G: 0.019933 Loss_D_real: -0.016957 Loss_D_fake 0.006837
[1006/5000][10/535][103658] Loss_D: -0.021815 Loss_G: -0.006613 Loss_D_real: -0.013978 Loss_D_fake 0.007837
[1006/5000][15/535][103659] Loss_D: -0.022484 Loss_G: 0.008371 Loss_D_real: -0.014415 Loss_D_fake 0.008069
[1006/5000][20/535][103660] Loss_D: -0.023307 Loss_G: 0.006904 Loss_D_real: -0.004364 Loss_D_fake 0.018944
[1006/5000][25/535][103661] Loss_D: -0.020705 Loss_G: 0.030112 Loss_D_real: -0.028588 Loss_D_fake -0.007883
[1006/5000][30/535][103662] Loss_D: -0.022273 Loss_G: 0.011630 Loss_D_real: -0.017694 Loss_D_fake 0.004579
[1006/5000][35/535][103663] Loss_D: -0.023050 Loss_G: 0.005236 Loss_D_real: -0.019029 Loss_D_fake 0.004021
[1006/5000][40/535][103664] Loss_D: -0.022827 Loss_G: 0.014735 Loss_D_real: -0.031102 Loss_D_fake -0.008274
[1006/5000][45/535][103665] Loss_D: -0.024639 Loss_G: -0.002207 Loss_D_real: -0.002668 Loss_D_fake 0.021971
[1006/5000][50/535][103666] Loss_D: -0.023859 Loss_G: 0.011588 Loss_D_real: -0.019452 Loss_D_fake 0.004407
[1006/5000][55/535][103667] Loss_D: -0.023715 Loss_G: 0.005588 Loss_D_real: -0.011527 Loss_D_fake 0.012188
[1006/5000][60/535][103668] Loss_D: -0.022875 Loss_G: 0.028678 Loss_D_real: -0.023062 Loss_D_fake -0.000187
[1006/5000][65/535][103669] Loss_D: -0.024053 Loss_G: 0.000464 Loss_D_real: -0.013090 Loss_D_fake 0.010963
[1006/5000][70/535][103670] Loss_D: -0.022623 Loss_G: -0.003495 Loss_D_real: -0.015691 Loss_D_fake 0.006932
[1006/5000][75/535][103671] Loss_D: -0.021993 Loss_G: 0.006573 Loss_D_real: -0.020351 Loss_D_fake 0.001642
[1006/5000][80/535][103672] Loss_D: -0.023711 Loss_G: 0.036491 Loss_D_real: -0.034792 Loss_D_fake -0.011081
[1006/5000][85/535][103673] Loss_D: -0.022753 Loss_G: -0.002240 Loss_D_real: -0.001607 Loss_D_fake 0.021146
[1006/5000][90/535][103674] Loss_D: -0.023595 Loss_G: -0.001293 Loss_D_real: -0.018836 Loss_D_fake 0.004760
[1006/5000][95/535][103675] Loss_D: -0.024179 Loss_G: 0.012451 Loss_D_real: -0.035565 Loss_D_fake -0.011386
[1006/5000][100/535][103676] Loss_D: -0.023056 Loss_G: 0.017068 Loss_D_real: -0.021718 Loss_D_fake 0.001338
[1006/5000][105/535][103677] Loss_D: -0.024012 Loss_G: 0.016268 Loss_D_real: -0.025815 Loss_D_fake -0.001803
[1006/5000][110/535][103678] Loss_D: -0.023472 Loss_G: -0.000533 Loss_D_real: -0.004784 Loss_D_fake 0.018687
[1006/5000][115/535][103679] Loss_D: -0.020918 Loss_G: 0.001157 Loss_D_real: -0.016379 Loss_D_fake 0.004540
[1006/5000][120/535][103680] Loss_D: -0.022267 Loss_G: -0.000727 Loss_D_real: -0.012597 Loss_D_fake 0.009669
[1006/5000][125/535][103681] Loss_D: -0.022939 Loss_G: 0.015450 Loss_D_real: -0.027183 Loss_D_fake -0.004245
[1006/5000][130/535][103682] Loss_D: -0.022063 Loss_G: 0.025467 Loss_D_real: -0.030550 Loss_D_fake -0.008487
[1006/5000][135/535][103683] Loss_D: -0.022171 Loss_G: -0.011354 Loss_D_real: -0.012181 Loss_D_fake 0.009989
[1006/5000][140/535][103684] Loss_D: -0.022851 Loss_G: 0.011112 Loss_D_real: -0.016814 Loss_D_fake 0.006037
[1006/5000][145/535][103685] Loss_D: -0.021685 Loss_G: 0.022603 Loss_D_real: -0.029911 Loss_D_fake -0.008227
[1006/5000][150/535][103686] Loss_D: -0.023194 Loss_G: 0.017904 Loss_D_real: -0.025013 Loss_D_fake -0.001818
[1006/5000][155/535][103687] Loss_D: -0.021785 Loss_G: 0.015199 Loss_D_real: -0.019012 Loss_D_fake 0.002773
[1006/5000][160/535][103688] Loss_D: -0.022139 Loss_G: 0.008956 Loss_D_real: -0.019822 Loss_D_fake 0.002318
[1006/5000][165/535][103689] Loss_D: -0.022329 Loss_G: -0.019436 Loss_D_real: -0.007496 Loss_D_fake 0.014834
[1006/5000][170/535][103690] Loss_D: -0.022956 Loss_G: -0.000359 Loss_D_real: -0.013297 Loss_D_fake 0.009659
[1006/5000][175/535][103691] Loss_D: -0.022247 Loss_G: 0.021050 Loss_D_real: -0.014193 Loss_D_fake 0.008054
[1006/5000][180/535][103692] Loss_D: -0.022703 Loss_G: 0.009420 Loss_D_real: -0.024112 Loss_D_fake -0.001409
[1006/5000][185/535][103693] Loss_D: -0.022281 Loss_G: 0.008237 Loss_D_real: -0.023080 Loss_D_fake -0.000799
[1006/5000][190/535][103694] Loss_D: -0.021852 Loss_G: 0.002344 Loss_D_real: -0.014822 Loss_D_fake 0.007029
[1006/5000][195/535][103695] Loss_D: -0.022466 Loss_G: 0.004384 Loss_D_real: -0.000938 Loss_D_fake 0.021529
[1006/5000][200/535][103696] Loss_D: -0.022246 Loss_G: 0.010597 Loss_D_real: -0.023123 Loss_D_fake -0.000877
[1006/5000][205/535][103697] Loss_D: -0.022100 Loss_G: 0.018419 Loss_D_real: -0.034963 Loss_D_fake -0.012863
[1006/5000][210/535][103698] Loss_D: -0.023458 Loss_G: 0.012849 Loss_D_real: -0.014876 Loss_D_fake 0.008582
[1006/5000][215/535][103699] Loss_D: -0.021862 Loss_G: 0.002450 Loss_D_real: -0.014484 Loss_D_fake 0.007379
[1006/5000][220/535][103700] Loss_D: -0.023258 Loss_G: 0.015890 Loss_D_real: -0.019806 Loss_D_fake 0.003452
[1006/5000][225/535][103701] Loss_D: -0.021480 Loss_G: 0.022693 Loss_D_real: -0.021060 Loss_D_fake 0.000420
[1006/5000][230/535][103702] Loss_D: -0.021883 Loss_G: -0.009837 Loss_D_real: -0.011847 Loss_D_fake 0.010036
[1006/5000][235/535][103703] Loss_D: -0.022038 Loss_G: -0.003325 Loss_D_real: -0.004491 Loss_D_fake 0.017546
[1006/5000][240/535][103704] Loss_D: -0.021835 Loss_G: -0.002689 Loss_D_real: -0.010438 Loss_D_fake 0.011396
[1006/5000][245/535][103705] Loss_D: -0.022181 Loss_G: 0.023423 Loss_D_real: -0.023989 Loss_D_fake -0.001808
[1006/5000][250/535][103706] Loss_D: -0.023559 Loss_G: -0.004107 Loss_D_real: -0.011500 Loss_D_fake 0.012059
[1006/5000][255/535][103707] Loss_D: -0.022749 Loss_G: 0.018968 Loss_D_real: -0.031126 Loss_D_fake -0.008378
[1006/5000][260/535][103708] Loss_D: -0.024225 Loss_G: 0.018818 Loss_D_real: -0.030960 Loss_D_fake -0.006735
[1006/5000][265/535][103709] Loss_D: -0.024230 Loss_G: 0.010383 Loss_D_real: -0.026210 Loss_D_fake -0.001981
[1006/5000][270/535][103710] Loss_D: -0.023375 Loss_G: 0.001853 Loss_D_real: -0.013191 Loss_D_fake 0.010184
[1006/5000][275/535][103711] Loss_D: -0.024318 Loss_G: 0.008112 Loss_D_real: -0.023857 Loss_D_fake 0.000461
[1006/5000][280/535][103712] Loss_D: -0.023742 Loss_G: 0.011014 Loss_D_real: -0.020186 Loss_D_fake 0.003556
[1006/5000][285/535][103713] Loss_D: -0.024332 Loss_G: -0.003999 Loss_D_real: -0.010190 Loss_D_fake 0.014141
[1006/5000][290/535][103714] Loss_D: -0.021812 Loss_G: -0.010170 Loss_D_real: -0.001037 Loss_D_fake 0.020775
[1006/5000][295/535][103715] Loss_D: -0.023087 Loss_G: -0.003280 Loss_D_real: -0.004833 Loss_D_fake 0.018254
[1006/5000][300/535][103716] Loss_D: -0.022473 Loss_G: 0.008881 Loss_D_real: -0.014904 Loss_D_fake 0.007569
[1006/5000][305/535][103717] Loss_D: -0.022893 Loss_G: 0.021220 Loss_D_real: -0.023051 Loss_D_fake -0.000158
[1006/5000][310/535][103718] Loss_D: -0.022455 Loss_G: -0.004775 Loss_D_real: -0.012389 Loss_D_fake 0.010066
[1006/5000][315/535][103719] Loss_D: -0.021915 Loss_G: 0.010135 Loss_D_real: -0.036317 Loss_D_fake -0.014402
[1006/5000][320/535][103720] Loss_D: -0.021850 Loss_G: 0.015440 Loss_D_real: -0.025125 Loss_D_fake -0.003275
[1006/5000][325/535][103721] Loss_D: -0.022167 Loss_G: -0.003999 Loss_D_real: -0.005931 Loss_D_fake 0.016235
[1006/5000][330/535][103722] Loss_D: -0.022889 Loss_G: 0.016317 Loss_D_real: -0.018813 Loss_D_fake 0.004075
[1006/5000][335/535][103723] Loss_D: -0.022373 Loss_G: 0.010783 Loss_D_real: -0.021596 Loss_D_fake 0.000777
[1006/5000][340/535][103724] Loss_D: -0.021767 Loss_G: -0.005251 Loss_D_real: -0.013396 Loss_D_fake 0.008371
[1006/5000][345/535][103725] Loss_D: -0.022356 Loss_G: 0.005653 Loss_D_real: -0.022267 Loss_D_fake 0.000089
[1006/5000][350/535][103726] Loss_D: -0.023464 Loss_G: -0.005943 Loss_D_real: -0.008109 Loss_D_fake 0.015355
[1006/5000][355/535][103727] Loss_D: -0.022958 Loss_G: -0.001821 Loss_D_real: -0.019925 Loss_D_fake 0.003033
[1006/5000][360/535][103728] Loss_D: -0.022126 Loss_G: -0.010338 Loss_D_real: -0.013720 Loss_D_fake 0.008407
[1006/5000][365/535][103729] Loss_D: -0.023623 Loss_G: 0.010679 Loss_D_real: -0.011860 Loss_D_fake 0.011763
[1006/5000][370/535][103730] Loss_D: -0.020797 Loss_G: 0.007758 Loss_D_real: -0.007701 Loss_D_fake 0.013095
[1006/5000][375/535][103731] Loss_D: -0.022140 Loss_G: 0.005943 Loss_D_real: -0.013898 Loss_D_fake 0.008242
[1006/5000][380/535][103732] Loss_D: -0.021660 Loss_G: 0.018458 Loss_D_real: -0.023766 Loss_D_fake -0.002106
[1006/5000][385/535][103733] Loss_D: -0.022451 Loss_G: -0.000527 Loss_D_real: -0.021949 Loss_D_fake 0.000503
[1006/5000][390/535][103734] Loss_D: -0.022515 Loss_G: 0.006260 Loss_D_real: -0.020957 Loss_D_fake 0.001559
[1006/5000][395/535][103735] Loss_D: -0.024056 Loss_G: 0.022283 Loss_D_real: -0.021746 Loss_D_fake 0.002310
[1006/5000][400/535][103736] Loss_D: -0.023211 Loss_G: 0.023634 Loss_D_real: -0.024627 Loss_D_fake -0.001417
[1006/5000][405/535][103737] Loss_D: -0.024722 Loss_G: -0.003088 Loss_D_real: -0.012898 Loss_D_fake 0.011825
[1006/5000][410/535][103738] Loss_D: -0.022386 Loss_G: -0.005459 Loss_D_real: -0.008786 Loss_D_fake 0.013599
[1006/5000][415/535][103739] Loss_D: -0.022196 Loss_G: 0.004646 Loss_D_real: -0.022480 Loss_D_fake -0.000284
[1006/5000][420/535][103740] Loss_D: -0.021764 Loss_G: 0.016656 Loss_D_real: -0.029164 Loss_D_fake -0.007400
[1006/5000][425/535][103741] Loss_D: -0.023106 Loss_G: 0.015540 Loss_D_real: -0.021423 Loss_D_fake 0.001682
[1006/5000][430/535][103742] Loss_D: -0.022926 Loss_G: -0.004784 Loss_D_real: -0.005965 Loss_D_fake 0.016961
[1006/5000][435/535][103743] Loss_D: -0.022948 Loss_G: 0.017497 Loss_D_real: -0.027415 Loss_D_fake -0.004467
[1006/5000][440/535][103744] Loss_D: -0.021565 Loss_G: 0.006300 Loss_D_real: -0.008105 Loss_D_fake 0.013460
[1006/5000][445/535][103745] Loss_D: -0.020640 Loss_G: 0.021852 Loss_D_real: -0.036281 Loss_D_fake -0.015641
[1006/5000][450/535][103746] Loss_D: -0.021856 Loss_G: -0.014279 Loss_D_real: -0.015906 Loss_D_fake 0.005950
[1006/5000][455/535][103747] Loss_D: -0.022376 Loss_G: 0.012283 Loss_D_real: -0.023080 Loss_D_fake -0.000703
[1006/5000][460/535][103748] Loss_D: -0.022610 Loss_G: -0.008426 Loss_D_real: -0.003386 Loss_D_fake 0.019224
[1006/5000][465/535][103749] Loss_D: -0.022146 Loss_G: 0.014120 Loss_D_real: -0.012991 Loss_D_fake 0.009156
[1006/5000][470/535][103750] Loss_D: -0.022305 Loss_G: 0.025088 Loss_D_real: -0.041010 Loss_D_fake -0.018706
[1006/5000][475/535][103751] Loss_D: -0.023111 Loss_G: 0.002458 Loss_D_real: -0.017687 Loss_D_fake 0.005424
[1006/5000][480/535][103752] Loss_D: -0.024010 Loss_G: -0.003892 Loss_D_real: -0.008000 Loss_D_fake 0.016010
[1006/5000][485/535][103753] Loss_D: -0.023813 Loss_G: -0.003394 Loss_D_real: -0.011833 Loss_D_fake 0.011981
[1006/5000][490/535][103754] Loss_D: -0.023033 Loss_G: 0.032393 Loss_D_real: -0.022821 Loss_D_fake 0.000211
[1006/5000][495/535][103755] Loss_D: -0.023100 Loss_G: 0.016014 Loss_D_real: -0.018226 Loss_D_fake 0.004874
[1006/5000][500/535][103756] Loss_D: -0.022686 Loss_G: 0.014996 Loss_D_real: -0.020909 Loss_D_fake 0.001777
[1006/5000][505/535][103757] Loss_D: -0.022825 Loss_G: -0.015225 Loss_D_real: -0.005590 Loss_D_fake 0.017235
[1006/5000][510/535][103758] Loss_D: -0.023836 Loss_G: -0.001590 Loss_D_real: -0.003860 Loss_D_fake 0.019975
[1006/5000][515/535][103759] Loss_D: -0.023544 Loss_G: 0.011251 Loss_D_real: -0.028847 Loss_D_fake -0.005303
[1006/5000][520/535][103760] Loss_D: -0.024125 Loss_G: 0.007677 Loss_D_real: -0.019625 Loss_D_fake 0.004499
[1006/5000][525/535][103761] Loss_D: -0.022167 Loss_G: -0.014703 Loss_D_real: -0.017981 Loss_D_fake 0.004186
[1006/5000][530/535][103762] Loss_D: -0.022630 Loss_G: 0.010661 Loss_D_real: -0.013866 Loss_D_fake 0.008765
[1006/5000][535/535][103763] Loss_D: -0.023166 Loss_G: -0.005133 Loss_D_real: -0.014138 Loss_D_fake 0.009027
[1007/5000][5/535][103764] Loss_D: -0.021946 Loss_G: 0.016594 Loss_D_real: -0.021164 Loss_D_fake 0.000782
[1007/5000][10/535][103765] Loss_D: -0.022659 Loss_G: -0.002679 Loss_D_real: 0.004212 Loss_D_fake 0.026871
[1007/5000][15/535][103766] Loss_D: -0.023040 Loss_G: 0.001297 Loss_D_real: -0.018011 Loss_D_fake 0.005029
[1007/5000][20/535][103767] Loss_D: -0.022079 Loss_G: -0.013222 Loss_D_real: 0.000947 Loss_D_fake 0.023026
[1007/5000][25/535][103768] Loss_D: -0.022792 Loss_G: 0.010520 Loss_D_real: -0.016101 Loss_D_fake 0.006690
[1007/5000][30/535][103769] Loss_D: -0.022547 Loss_G: 0.012562 Loss_D_real: -0.021305 Loss_D_fake 0.001242
[1007/5000][35/535][103770] Loss_D: -0.021949 Loss_G: -0.013367 Loss_D_real: -0.008755 Loss_D_fake 0.013194
[1007/5000][40/535][103771] Loss_D: -0.021774 Loss_G: 0.022895 Loss_D_real: -0.028440 Loss_D_fake -0.006666
[1007/5000][45/535][103772] Loss_D: -0.022363 Loss_G: 0.019905 Loss_D_real: -0.022383 Loss_D_fake -0.000020
[1007/5000][50/535][103773] Loss_D: -0.023249 Loss_G: 0.004593 Loss_D_real: -0.026702 Loss_D_fake -0.003452
[1007/5000][55/535][103774] Loss_D: -0.021390 Loss_G: 0.022839 Loss_D_real: -0.029347 Loss_D_fake -0.007958
[1007/5000][60/535][103775] Loss_D: -0.023345 Loss_G: 0.018371 Loss_D_real: -0.032843 Loss_D_fake -0.009498
[1007/5000][65/535][103776] Loss_D: -0.023234 Loss_G: 0.005087 Loss_D_real: -0.025906 Loss_D_fake -0.002672
[1007/5000][70/535][103777] Loss_D: -0.023687 Loss_G: 0.016599 Loss_D_real: -0.024854 Loss_D_fake -0.001167
[1007/5000][75/535][103778] Loss_D: -0.023754 Loss_G: 0.003648 Loss_D_real: -0.019941 Loss_D_fake 0.003813
[1007/5000][80/535][103779] Loss_D: -0.024734 Loss_G: 0.010287 Loss_D_real: -0.015067 Loss_D_fake 0.009667
[1007/5000][85/535][103780] Loss_D: -0.023371 Loss_G: 0.019794 Loss_D_real: -0.026905 Loss_D_fake -0.003534
[1007/5000][90/535][103781] Loss_D: -0.024418 Loss_G: 0.020486 Loss_D_real: -0.028068 Loss_D_fake -0.003651
[1007/5000][95/535][103782] Loss_D: -0.023511 Loss_G: 0.026251 Loss_D_real: -0.034894 Loss_D_fake -0.011383
[1007/5000][100/535][103783] Loss_D: -0.023945 Loss_G: 0.004140 Loss_D_real: -0.018199 Loss_D_fake 0.005746
[1007/5000][105/535][103784] Loss_D: -0.025349 Loss_G: 0.011620 Loss_D_real: -0.026059 Loss_D_fake -0.000710
[1007/5000][110/535][103785] Loss_D: -0.022794 Loss_G: 0.024591 Loss_D_real: -0.027225 Loss_D_fake -0.004431
[1007/5000][115/535][103786] Loss_D: -0.023837 Loss_G: 0.000687 Loss_D_real: -0.023783 Loss_D_fake 0.000054
[1007/5000][120/535][103787] Loss_D: -0.023251 Loss_G: -0.002346 Loss_D_real: 0.001519 Loss_D_fake 0.024769
[1007/5000][125/535][103788] Loss_D: -0.022478 Loss_G: 0.014707 Loss_D_real: -0.026690 Loss_D_fake -0.004212
[1007/5000][130/535][103789] Loss_D: -0.023279 Loss_G: 0.018705 Loss_D_real: -0.034525 Loss_D_fake -0.011246
[1007/5000][135/535][103790] Loss_D: -0.023583 Loss_G: 0.006401 Loss_D_real: -0.012906 Loss_D_fake 0.010678
[1007/5000][140/535][103791] Loss_D: -0.022513 Loss_G: 0.016902 Loss_D_real: -0.024721 Loss_D_fake -0.002208
[1007/5000][145/535][103792] Loss_D: -0.024495 Loss_G: 0.005347 Loss_D_real: -0.014790 Loss_D_fake 0.009705
[1007/5000][150/535][103793] Loss_D: -0.020019 Loss_G: 0.027654 Loss_D_real: -0.037820 Loss_D_fake -0.017802
[1007/5000][155/535][103794] Loss_D: -0.022588 Loss_G: 0.015759 Loss_D_real: -0.012916 Loss_D_fake 0.009672
[1007/5000][160/535][103795] Loss_D: -0.021008 Loss_G: 0.024140 Loss_D_real: -0.028817 Loss_D_fake -0.007809
[1007/5000][165/535][103796] Loss_D: -0.023419 Loss_G: -0.004481 Loss_D_real: -0.009517 Loss_D_fake 0.013902
[1007/5000][170/535][103797] Loss_D: -0.022266 Loss_G: 0.015414 Loss_D_real: -0.026180 Loss_D_fake -0.003913
[1007/5000][175/535][103798] Loss_D: -0.022710 Loss_G: 0.009774 Loss_D_real: -0.027290 Loss_D_fake -0.004580
[1007/5000][180/535][103799] Loss_D: -0.023340 Loss_G: 0.011576 Loss_D_real: -0.016311 Loss_D_fake 0.007028
[1007/5000][185/535][103800] Loss_D: -0.022579 Loss_G: 0.027844 Loss_D_real: -0.033114 Loss_D_fake -0.010535
[1007/5000][190/535][103801] Loss_D: -0.022654 Loss_G: 0.013333 Loss_D_real: -0.014768 Loss_D_fake 0.007886
[1007/5000][195/535][103802] Loss_D: -0.022835 Loss_G: 0.010716 Loss_D_real: -0.024947 Loss_D_fake -0.002112
[1007/5000][200/535][103803] Loss_D: -0.021603 Loss_G: 0.007206 Loss_D_real: -0.015023 Loss_D_fake 0.006580
[1007/5000][205/535][103804] Loss_D: -0.022068 Loss_G: 0.022817 Loss_D_real: -0.032314 Loss_D_fake -0.010246
[1007/5000][210/535][103805] Loss_D: -0.023045 Loss_G: -0.003953 Loss_D_real: -0.012166 Loss_D_fake 0.010879
[1007/5000][215/535][103806] Loss_D: -0.021807 Loss_G: 0.010397 Loss_D_real: -0.019616 Loss_D_fake 0.002192
[1007/5000][220/535][103807] Loss_D: -0.023183 Loss_G: 0.020971 Loss_D_real: -0.017534 Loss_D_fake 0.005649
[1007/5000][225/535][103808] Loss_D: -0.020591 Loss_G: -0.016362 Loss_D_real: -0.007056 Loss_D_fake 0.013535
[1007/5000][230/535][103809] Loss_D: -0.022619 Loss_G: -0.000627 Loss_D_real: -0.019570 Loss_D_fake 0.003048
[1007/5000][235/535][103810] Loss_D: -0.021496 Loss_G: 0.002736 Loss_D_real: -0.004360 Loss_D_fake 0.017136
[1007/5000][240/535][103811] Loss_D: -0.022364 Loss_G: 0.000858 Loss_D_real: -0.008592 Loss_D_fake 0.013772
[1007/5000][245/535][103812] Loss_D: -0.022217 Loss_G: 0.012751 Loss_D_real: -0.030511 Loss_D_fake -0.008294
[1007/5000][250/535][103813] Loss_D: -0.022516 Loss_G: 0.011536 Loss_D_real: -0.020443 Loss_D_fake 0.002073
[1007/5000][255/535][103814] Loss_D: -0.021008 Loss_G: 0.016311 Loss_D_real: -0.022731 Loss_D_fake -0.001723
[1007/5000][260/535][103815] Loss_D: -0.024337 Loss_G: 0.012723 Loss_D_real: -0.014906 Loss_D_fake 0.009431
[1007/5000][265/535][103816] Loss_D: -0.023173 Loss_G: -0.010015 Loss_D_real: -0.015705 Loss_D_fake 0.007468
[1007/5000][270/535][103817] Loss_D: -0.022811 Loss_G: -0.006963 Loss_D_real: -0.004522 Loss_D_fake 0.018288
[1007/5000][275/535][103818] Loss_D: -0.023472 Loss_G: 0.009606 Loss_D_real: -0.021123 Loss_D_fake 0.002349
[1007/5000][280/535][103819] Loss_D: -0.023656 Loss_G: -0.002312 Loss_D_real: -0.010003 Loss_D_fake 0.013654
[1007/5000][285/535][103820] Loss_D: -0.022509 Loss_G: 0.007246 Loss_D_real: -0.020842 Loss_D_fake 0.001666
[1007/5000][290/535][103821] Loss_D: -0.022348 Loss_G: 0.025999 Loss_D_real: -0.027404 Loss_D_fake -0.005056
[1007/5000][295/535][103822] Loss_D: -0.023522 Loss_G: 0.007857 Loss_D_real: -0.018179 Loss_D_fake 0.005343
[1007/5000][300/535][103823] Loss_D: -0.023475 Loss_G: -0.007143 Loss_D_real: -0.010072 Loss_D_fake 0.013403
[1007/5000][305/535][103824] Loss_D: -0.022561 Loss_G: -0.012516 Loss_D_real: -0.005673 Loss_D_fake 0.016888
[1007/5000][310/535][103825] Loss_D: -0.023392 Loss_G: 0.024512 Loss_D_real: -0.020355 Loss_D_fake 0.003037
[1007/5000][315/535][103826] Loss_D: -0.022269 Loss_G: 0.023698 Loss_D_real: -0.031133 Loss_D_fake -0.008864
[1007/5000][320/535][103827] Loss_D: -0.023685 Loss_G: 0.007144 Loss_D_real: -0.032509 Loss_D_fake -0.008823
[1007/5000][325/535][103828] Loss_D: -0.022760 Loss_G: 0.020794 Loss_D_real: -0.020267 Loss_D_fake 0.002492
[1007/5000][330/535][103829] Loss_D: -0.020983 Loss_G: -0.008831 Loss_D_real: 0.003099 Loss_D_fake 0.024082
[1007/5000][335/535][103830] Loss_D: -0.021246 Loss_G: 0.026349 Loss_D_real: -0.025309 Loss_D_fake -0.004062
[1007/5000][340/535][103831] Loss_D: -0.022831 Loss_G: 0.016547 Loss_D_real: -0.025265 Loss_D_fake -0.002434
[1007/5000][345/535][103832] Loss_D: -0.023501 Loss_G: 0.000497 Loss_D_real: -0.016216 Loss_D_fake 0.007285
[1007/5000][350/535][103833] Loss_D: -0.021485 Loss_G: -0.004422 Loss_D_real: -0.008446 Loss_D_fake 0.013039
[1007/5000][355/535][103834] Loss_D: -0.022022 Loss_G: 0.004876 Loss_D_real: -0.014413 Loss_D_fake 0.007609
[1007/5000][360/535][103835] Loss_D: -0.020987 Loss_G: 0.023157 Loss_D_real: -0.026767 Loss_D_fake -0.005780
[1007/5000][365/535][103836] Loss_D: -0.021476 Loss_G: 0.023490 Loss_D_real: -0.023200 Loss_D_fake -0.001724
[1007/5000][370/535][103837] Loss_D: -0.022867 Loss_G: 0.011960 Loss_D_real: -0.019715 Loss_D_fake 0.003152
[1007/5000][375/535][103838] Loss_D: -0.023860 Loss_G: 0.009322 Loss_D_real: -0.025935 Loss_D_fake -0.002076
[1007/5000][380/535][103839] Loss_D: -0.023954 Loss_G: 0.007999 Loss_D_real: -0.020535 Loss_D_fake 0.003419
[1007/5000][385/535][103840] Loss_D: -0.022529 Loss_G: 0.018674 Loss_D_real: -0.033783 Loss_D_fake -0.011254
[1007/5000][390/535][103841] Loss_D: -0.024229 Loss_G: 0.011203 Loss_D_real: -0.031280 Loss_D_fake -0.007050
[1007/5000][395/535][103842] Loss_D: -0.023303 Loss_G: 0.022169 Loss_D_real: -0.028916 Loss_D_fake -0.005613
[1007/5000][400/535][103843] Loss_D: -0.023719 Loss_G: 0.013240 Loss_D_real: -0.015532 Loss_D_fake 0.008187
[1007/5000][405/535][103844] Loss_D: -0.023902 Loss_G: -0.012222 Loss_D_real: -0.005916 Loss_D_fake 0.017986
[1007/5000][410/535][103845] Loss_D: -0.023264 Loss_G: 0.012686 Loss_D_real: -0.026997 Loss_D_fake -0.003733
[1007/5000][415/535][103846] Loss_D: -0.022588 Loss_G: 0.018372 Loss_D_real: -0.021954 Loss_D_fake 0.000634
[1007/5000][420/535][103847] Loss_D: -0.022648 Loss_G: -0.009630 Loss_D_real: 0.000767 Loss_D_fake 0.023415
[1007/5000][425/535][103848] Loss_D: -0.023725 Loss_G: 0.013864 Loss_D_real: -0.029046 Loss_D_fake -0.005322
[1007/5000][430/535][103849] Loss_D: -0.022592 Loss_G: 0.009546 Loss_D_real: -0.014527 Loss_D_fake 0.008065
[1007/5000][435/535][103850] Loss_D: -0.023889 Loss_G: -0.001175 Loss_D_real: -0.015243 Loss_D_fake 0.008647
[1007/5000][440/535][103851] Loss_D: -0.020841 Loss_G: 0.014562 Loss_D_real: -0.029738 Loss_D_fake -0.008896
[1007/5000][445/535][103852] Loss_D: -0.022417 Loss_G: -0.010917 Loss_D_real: -0.007057 Loss_D_fake 0.015359
[1007/5000][450/535][103853] Loss_D: -0.022111 Loss_G: 0.016776 Loss_D_real: -0.026286 Loss_D_fake -0.004175
[1007/5000][455/535][103854] Loss_D: -0.020016 Loss_G: 0.024079 Loss_D_real: -0.028848 Loss_D_fake -0.008832
[1007/5000][460/535][103855] Loss_D: -0.022203 Loss_G: 0.024495 Loss_D_real: -0.029627 Loss_D_fake -0.007424
[1007/5000][465/535][103856] Loss_D: -0.021614 Loss_G: 0.015853 Loss_D_real: -0.029942 Loss_D_fake -0.008328
[1007/5000][470/535][103857] Loss_D: -0.022125 Loss_G: -0.009178 Loss_D_real: -0.000487 Loss_D_fake 0.021638
[1007/5000][475/535][103858] Loss_D: -0.022547 Loss_G: 0.018081 Loss_D_real: -0.015877 Loss_D_fake 0.006670
[1007/5000][480/535][103859] Loss_D: -0.021802 Loss_G: -0.010438 Loss_D_real: -0.005762 Loss_D_fake 0.016040
[1007/5000][485/535][103860] Loss_D: -0.023175 Loss_G: 0.016859 Loss_D_real: -0.019827 Loss_D_fake 0.003348
[1007/5000][490/535][103861] Loss_D: -0.023855 Loss_G: 0.019420 Loss_D_real: -0.025149 Loss_D_fake -0.001294
[1007/5000][495/535][103862] Loss_D: -0.022805 Loss_G: 0.012588 Loss_D_real: -0.021464 Loss_D_fake 0.001340
[1007/5000][500/535][103863] Loss_D: -0.023600 Loss_G: 0.011061 Loss_D_real: -0.016073 Loss_D_fake 0.007526
[1007/5000][505/535][103864] Loss_D: -0.023750 Loss_G: 0.001162 Loss_D_real: -0.006369 Loss_D_fake 0.017380
[1007/5000][510/535][103865] Loss_D: -0.023032 Loss_G: -0.017273 Loss_D_real: -0.004150 Loss_D_fake 0.018882
[1007/5000][515/535][103866] Loss_D: -0.022904 Loss_G: 0.009898 Loss_D_real: -0.009305 Loss_D_fake 0.013599
[1007/5000][520/535][103867] Loss_D: -0.022738 Loss_G: 0.001590 Loss_D_real: -0.013047 Loss_D_fake 0.009691
[1007/5000][525/535][103868] Loss_D: -0.023018 Loss_G: -0.009430 Loss_D_real: -0.005883 Loss_D_fake 0.017135
[1007/5000][530/535][103869] Loss_D: -0.022507 Loss_G: 0.016766 Loss_D_real: -0.014059 Loss_D_fake 0.008449
[1007/5000][535/535][103870] Loss_D: -0.022137 Loss_G: 0.001885 Loss_D_real: -0.019521 Loss_D_fake 0.002615
[1008/5000][5/535][103871] Loss_D: -0.022460 Loss_G: 0.005230 Loss_D_real: -0.002665 Loss_D_fake 0.019795
[1008/5000][10/535][103872] Loss_D: -0.022384 Loss_G: 0.018606 Loss_D_real: -0.030514 Loss_D_fake -0.008130
[1008/5000][15/535][103873] Loss_D: -0.022437 Loss_G: 0.016056 Loss_D_real: -0.024517 Loss_D_fake -0.002081
[1008/5000][20/535][103874] Loss_D: -0.022320 Loss_G: 0.025386 Loss_D_real: -0.027146 Loss_D_fake -0.004827
[1008/5000][25/535][103875] Loss_D: -0.022204 Loss_G: 0.019095 Loss_D_real: -0.032426 Loss_D_fake -0.010222
[1008/5000][30/535][103876] Loss_D: -0.022408 Loss_G: 0.002796 Loss_D_real: -0.012136 Loss_D_fake 0.010272
[1008/5000][35/535][103877] Loss_D: -0.023526 Loss_G: 0.006135 Loss_D_real: -0.016504 Loss_D_fake 0.007022
[1008/5000][40/535][103878] Loss_D: -0.021616 Loss_G: 0.021624 Loss_D_real: -0.029026 Loss_D_fake -0.007410
[1008/5000][45/535][103879] Loss_D: -0.023661 Loss_G: 0.013201 Loss_D_real: -0.033820 Loss_D_fake -0.010159
[1008/5000][50/535][103880] Loss_D: -0.023214 Loss_G: 0.007958 Loss_D_real: -0.016590 Loss_D_fake 0.006624
[1008/5000][55/535][103881] Loss_D: -0.023211 Loss_G: -0.010285 Loss_D_real: -0.014764 Loss_D_fake 0.008446
[1008/5000][60/535][103882] Loss_D: -0.022681 Loss_G: 0.019608 Loss_D_real: -0.028146 Loss_D_fake -0.005465
[1008/5000][65/535][103883] Loss_D: -0.023676 Loss_G: 0.012675 Loss_D_real: -0.022301 Loss_D_fake 0.001375
[1008/5000][70/535][103884] Loss_D: -0.023463 Loss_G: 0.027370 Loss_D_real: -0.024722 Loss_D_fake -0.001259
[1008/5000][75/535][103885] Loss_D: -0.023757 Loss_G: -0.012550 Loss_D_real: -0.005600 Loss_D_fake 0.018157
[1008/5000][80/535][103886] Loss_D: -0.021654 Loss_G: 0.019960 Loss_D_real: -0.024565 Loss_D_fake -0.002911
[1008/5000][85/535][103887] Loss_D: -0.022937 Loss_G: -0.012441 Loss_D_real: -0.008028 Loss_D_fake 0.014908
[1008/5000][90/535][103888] Loss_D: -0.023208 Loss_G: 0.009398 Loss_D_real: -0.009822 Loss_D_fake 0.013386
[1008/5000][95/535][103889] Loss_D: -0.022342 Loss_G: -0.007802 Loss_D_real: -0.016212 Loss_D_fake 0.006129
[1008/5000][100/535][103890] Loss_D: -0.022894 Loss_G: 0.021893 Loss_D_real: -0.020508 Loss_D_fake 0.002385
[1008/5000][105/535][103891] Loss_D: -0.023296 Loss_G: 0.002707 Loss_D_real: -0.009234 Loss_D_fake 0.014062
[1008/5000][110/535][103892] Loss_D: -0.023095 Loss_G: 0.014625 Loss_D_real: -0.019959 Loss_D_fake 0.003136
[1008/5000][115/535][103893] Loss_D: -0.024146 Loss_G: 0.017775 Loss_D_real: -0.018464 Loss_D_fake 0.005682
[1008/5000][120/535][103894] Loss_D: -0.023261 Loss_G: 0.007747 Loss_D_real: -0.023738 Loss_D_fake -0.000477
[1008/5000][125/535][103895] Loss_D: -0.023515 Loss_G: 0.014316 Loss_D_real: -0.017614 Loss_D_fake 0.005901
[1008/5000][130/535][103896] Loss_D: -0.023576 Loss_G: -0.011082 Loss_D_real: -0.010824 Loss_D_fake 0.012753
[1008/5000][135/535][103897] Loss_D: -0.021751 Loss_G: 0.019418 Loss_D_real: -0.024028 Loss_D_fake -0.002277
[1008/5000][140/535][103898] Loss_D: -0.022030 Loss_G: 0.013164 Loss_D_real: -0.018584 Loss_D_fake 0.003446
[1008/5000][145/535][103899] Loss_D: -0.022885 Loss_G: -0.009691 Loss_D_real: -0.002399 Loss_D_fake 0.020486
[1008/5000][150/535][103900] Loss_D: -0.022351 Loss_G: -0.009463 Loss_D_real: -0.004547 Loss_D_fake 0.017804
[1008/5000][155/535][103901] Loss_D: -0.022198 Loss_G: 0.009655 Loss_D_real: -0.026000 Loss_D_fake -0.003802
[1008/5000][160/535][103902] Loss_D: -0.022705 Loss_G: 0.008128 Loss_D_real: -0.015971 Loss_D_fake 0.006735
[1008/5000][165/535][103903] Loss_D: -0.022819 Loss_G: 0.032507 Loss_D_real: -0.027745 Loss_D_fake -0.004926
[1008/5000][170/535][103904] Loss_D: -0.022071 Loss_G: 0.001303 Loss_D_real: -0.016836 Loss_D_fake 0.005235
[1008/5000][175/535][103905] Loss_D: -0.023451 Loss_G: -0.004650 Loss_D_real: -0.009284 Loss_D_fake 0.014167
[1008/5000][180/535][103906] Loss_D: -0.022708 Loss_G: 0.012226 Loss_D_real: -0.022891 Loss_D_fake -0.000183
[1008/5000][185/535][103907] Loss_D: -0.022834 Loss_G: -0.001935 Loss_D_real: -0.001319 Loss_D_fake 0.021516
[1008/5000][190/535][103908] Loss_D: -0.021852 Loss_G: 0.025591 Loss_D_real: -0.035053 Loss_D_fake -0.013201
[1008/5000][195/535][103909] Loss_D: -0.022721 Loss_G: -0.000512 Loss_D_real: -0.020554 Loss_D_fake 0.002168
[1008/5000][200/535][103910] Loss_D: -0.021677 Loss_G: 0.015896 Loss_D_real: -0.025350 Loss_D_fake -0.003673
[1008/5000][205/535][103911] Loss_D: -0.022667 Loss_G: -0.008515 Loss_D_real: -0.000384 Loss_D_fake 0.022283
[1008/5000][210/535][103912] Loss_D: -0.023210 Loss_G: 0.027616 Loss_D_real: -0.023872 Loss_D_fake -0.000662
[1008/5000][215/535][103913] Loss_D: -0.023016 Loss_G: 0.007290 Loss_D_real: -0.022257 Loss_D_fake 0.000759
[1008/5000][220/535][103914] Loss_D: -0.023742 Loss_G: -0.000700 Loss_D_real: -0.015771 Loss_D_fake 0.007971
[1008/5000][225/535][103915] Loss_D: -0.022424 Loss_G: 0.018693 Loss_D_real: -0.025672 Loss_D_fake -0.003248
[1008/5000][230/535][103916] Loss_D: -0.022196 Loss_G: 0.008939 Loss_D_real: -0.006551 Loss_D_fake 0.015645
[1008/5000][235/535][103917] Loss_D: -0.022336 Loss_G: 0.001014 Loss_D_real: -0.008981 Loss_D_fake 0.013354
[1008/5000][240/535][103918] Loss_D: -0.023030 Loss_G: -0.014990 Loss_D_real: -0.003901 Loss_D_fake 0.019129
[1008/5000][245/535][103919] Loss_D: -0.023399 Loss_G: 0.007087 Loss_D_real: -0.018382 Loss_D_fake 0.005017
[1008/5000][250/535][103920] Loss_D: -0.021794 Loss_G: -0.000392 Loss_D_real: -0.015715 Loss_D_fake 0.006078
[1008/5000][255/535][103921] Loss_D: -0.022403 Loss_G: 0.021976 Loss_D_real: -0.022471 Loss_D_fake -0.000068
[1008/5000][260/535][103922] Loss_D: -0.022085 Loss_G: 0.016919 Loss_D_real: -0.028110 Loss_D_fake -0.006025
[1008/5000][265/535][103923] Loss_D: -0.022424 Loss_G: -0.011215 Loss_D_real: 0.001891 Loss_D_fake 0.024315
[1008/5000][270/535][103924] Loss_D: -0.022118 Loss_G: -0.001015 Loss_D_real: -0.016377 Loss_D_fake 0.005741
[1008/5000][275/535][103925] Loss_D: -0.024021 Loss_G: -0.010891 Loss_D_real: -0.013895 Loss_D_fake 0.010126
[1008/5000][280/535][103926] Loss_D: -0.023691 Loss_G: -0.001087 Loss_D_real: -0.005755 Loss_D_fake 0.017936
[1008/5000][285/535][103927] Loss_D: -0.024095 Loss_G: 0.010105 Loss_D_real: -0.017417 Loss_D_fake 0.006678
[1008/5000][290/535][103928] Loss_D: -0.024797 Loss_G: 0.005291 Loss_D_real: -0.007920 Loss_D_fake 0.016877
[1008/5000][295/535][103929] Loss_D: -0.024281 Loss_G: 0.009109 Loss_D_real: -0.017846 Loss_D_fake 0.006435
[1008/5000][300/535][103930] Loss_D: -0.023494 Loss_G: 0.024493 Loss_D_real: -0.033282 Loss_D_fake -0.009787
[1008/5000][305/535][103931] Loss_D: -0.022307 Loss_G: 0.017752 Loss_D_real: -0.026749 Loss_D_fake -0.004442
[1008/5000][310/535][103932] Loss_D: -0.022826 Loss_G: 0.009915 Loss_D_real: -0.019398 Loss_D_fake 0.003428
[1008/5000][315/535][103933] Loss_D: -0.023858 Loss_G: 0.002610 Loss_D_real: -0.011547 Loss_D_fake 0.012310
[1008/5000][320/535][103934] Loss_D: -0.023189 Loss_G: 0.005741 Loss_D_real: -0.017566 Loss_D_fake 0.005622
[1008/5000][325/535][103935] Loss_D: -0.023479 Loss_G: 0.014247 Loss_D_real: -0.030633 Loss_D_fake -0.007155
[1008/5000][330/535][103936] Loss_D: -0.023242 Loss_G: 0.003828 Loss_D_real: -0.029494 Loss_D_fake -0.006251
[1008/5000][335/535][103937] Loss_D: -0.024005 Loss_G: 0.002570 Loss_D_real: -0.015698 Loss_D_fake 0.008306
[1008/5000][340/535][103938] Loss_D: -0.022202 Loss_G: 0.018271 Loss_D_real: -0.029944 Loss_D_fake -0.007742
[1008/5000][345/535][103939] Loss_D: -0.023609 Loss_G: 0.023389 Loss_D_real: -0.021211 Loss_D_fake 0.002398
[1008/5000][350/535][103940] Loss_D: -0.022495 Loss_G: 0.020175 Loss_D_real: -0.024229 Loss_D_fake -0.001733
[1008/5000][355/535][103941] Loss_D: -0.022503 Loss_G: -0.011279 Loss_D_real: -0.010898 Loss_D_fake 0.011604
[1008/5000][360/535][103942] Loss_D: -0.021527 Loss_G: -0.004208 Loss_D_real: -0.016499 Loss_D_fake 0.005028
[1008/5000][365/535][103943] Loss_D: -0.021829 Loss_G: -0.010628 Loss_D_real: -0.006462 Loss_D_fake 0.015367
[1008/5000][370/535][103944] Loss_D: -0.022809 Loss_G: 0.002106 Loss_D_real: -0.018736 Loss_D_fake 0.004072
[1008/5000][375/535][103945] Loss_D: -0.020826 Loss_G: 0.017909 Loss_D_real: -0.033292 Loss_D_fake -0.012466
[1008/5000][380/535][103946] Loss_D: -0.022561 Loss_G: 0.013522 Loss_D_real: -0.025539 Loss_D_fake -0.002978
[1008/5000][385/535][103947] Loss_D: -0.023457 Loss_G: 0.017878 Loss_D_real: -0.020605 Loss_D_fake 0.002852
[1008/5000][390/535][103948] Loss_D: -0.020710 Loss_G: -0.011171 Loss_D_real: 0.001121 Loss_D_fake 0.021831
[1008/5000][395/535][103949] Loss_D: -0.022681 Loss_G: 0.010535 Loss_D_real: -0.023790 Loss_D_fake -0.001109
[1008/5000][400/535][103950] Loss_D: -0.022640 Loss_G: 0.010216 Loss_D_real: -0.020652 Loss_D_fake 0.001988
[1008/5000][405/535][103951] Loss_D: -0.023914 Loss_G: -0.009724 Loss_D_real: -0.007446 Loss_D_fake 0.016469
[1008/5000][410/535][103952] Loss_D: -0.023159 Loss_G: 0.003283 Loss_D_real: -0.021875 Loss_D_fake 0.001284
[1008/5000][415/535][103953] Loss_D: -0.023859 Loss_G: 0.012801 Loss_D_real: -0.012858 Loss_D_fake 0.011001
[1008/5000][420/535][103954] Loss_D: -0.023256 Loss_G: 0.012081 Loss_D_real: -0.021332 Loss_D_fake 0.001924
[1008/5000][425/535][103955] Loss_D: -0.023015 Loss_G: 0.023006 Loss_D_real: -0.025605 Loss_D_fake -0.002591
[1008/5000][430/535][103956] Loss_D: -0.022591 Loss_G: -0.006354 Loss_D_real: -0.001128 Loss_D_fake 0.021464
[1008/5000][435/535][103957] Loss_D: -0.022526 Loss_G: 0.007786 Loss_D_real: -0.024449 Loss_D_fake -0.001923
[1008/5000][440/535][103958] Loss_D: -0.022042 Loss_G: 0.001190 Loss_D_real: -0.016627 Loss_D_fake 0.005415
[1008/5000][445/535][103959] Loss_D: -0.021988 Loss_G: -0.014602 Loss_D_real: -0.005458 Loss_D_fake 0.016530
[1008/5000][450/535][103960] Loss_D: -0.022712 Loss_G: -0.000168 Loss_D_real: -0.011119 Loss_D_fake 0.011593
[1008/5000][455/535][103961] Loss_D: -0.022557 Loss_G: 0.015069 Loss_D_real: -0.019873 Loss_D_fake 0.002684
[1008/5000][460/535][103962] Loss_D: -0.023177 Loss_G: 0.023165 Loss_D_real: -0.028103 Loss_D_fake -0.004926
[1008/5000][465/535][103963] Loss_D: -0.023258 Loss_G: 0.011326 Loss_D_real: -0.018367 Loss_D_fake 0.004890
[1008/5000][470/535][103964] Loss_D: -0.023505 Loss_G: 0.006657 Loss_D_real: -0.009508 Loss_D_fake 0.013997
[1008/5000][475/535][103965] Loss_D: -0.021709 Loss_G: 0.015789 Loss_D_real: -0.028420 Loss_D_fake -0.006711
[1008/5000][480/535][103966] Loss_D: -0.021291 Loss_G: -0.014511 Loss_D_real: -0.003635 Loss_D_fake 0.017656
[1008/5000][485/535][103967] Loss_D: -0.022001 Loss_G: -0.001447 Loss_D_real: -0.017711 Loss_D_fake 0.004289
[1008/5000][490/535][103968] Loss_D: -0.020262 Loss_G: 0.038255 Loss_D_real: -0.039712 Loss_D_fake -0.019450
[1008/5000][495/535][103969] Loss_D: -0.022746 Loss_G: -0.008486 Loss_D_real: -0.010245 Loss_D_fake 0.012501
[1008/5000][500/535][103970] Loss_D: -0.020648 Loss_G: -0.007455 Loss_D_real: 0.002433 Loss_D_fake 0.023081
[1008/5000][505/535][103971] Loss_D: -0.023026 Loss_G: 0.000992 Loss_D_real: -0.007490 Loss_D_fake 0.015536
[1008/5000][510/535][103972] Loss_D: -0.023477 Loss_G: 0.009545 Loss_D_real: -0.009039 Loss_D_fake 0.014438
[1008/5000][515/535][103973] Loss_D: -0.023255 Loss_G: 0.016763 Loss_D_real: -0.020794 Loss_D_fake 0.002461
[1008/5000][520/535][103974] Loss_D: -0.023985 Loss_G: 0.017093 Loss_D_real: -0.024593 Loss_D_fake -0.000608
[1008/5000][525/535][103975] Loss_D: -0.022721 Loss_G: 0.024593 Loss_D_real: -0.024374 Loss_D_fake -0.001653
[1008/5000][530/535][103976] Loss_D: -0.023810 Loss_G: -0.000932 Loss_D_real: -0.015165 Loss_D_fake 0.008645
[1008/5000][535/535][103977] Loss_D: -0.026154 Loss_G: 0.003817 Loss_D_real: -0.023776 Loss_D_fake 0.002378
[1009/5000][5/535][103978] Loss_D: -0.023241 Loss_G: 0.011938 Loss_D_real: -0.011512 Loss_D_fake 0.011729
[1009/5000][10/535][103979] Loss_D: -0.023224 Loss_G: 0.010096 Loss_D_real: -0.018222 Loss_D_fake 0.005002
[1009/5000][15/535][103980] Loss_D: -0.022499 Loss_G: 0.019323 Loss_D_real: -0.022149 Loss_D_fake 0.000350
[1009/5000][20/535][103981] Loss_D: -0.023894 Loss_G: 0.007521 Loss_D_real: -0.016625 Loss_D_fake 0.007269
[1009/5000][25/535][103982] Loss_D: -0.022761 Loss_G: 0.006105 Loss_D_real: -0.010117 Loss_D_fake 0.012644
[1009/5000][30/535][103983] Loss_D: -0.022241 Loss_G: 0.001020 Loss_D_real: -0.011450 Loss_D_fake 0.010791
[1009/5000][35/535][103984] Loss_D: -0.022093 Loss_G: 0.026488 Loss_D_real: -0.029636 Loss_D_fake -0.007543
[1009/5000][40/535][103985] Loss_D: -0.023466 Loss_G: -0.025218 Loss_D_real: -0.006879 Loss_D_fake 0.016587
[1009/5000][45/535][103986] Loss_D: -0.023427 Loss_G: 0.014464 Loss_D_real: -0.029785 Loss_D_fake -0.006359
[1009/5000][50/535][103987] Loss_D: -0.022730 Loss_G: 0.018172 Loss_D_real: -0.024249 Loss_D_fake -0.001519
[1009/5000][55/535][103988] Loss_D: -0.023803 Loss_G: 0.016888 Loss_D_real: -0.023587 Loss_D_fake 0.000216
[1009/5000][60/535][103989] Loss_D: -0.022962 Loss_G: 0.002464 Loss_D_real: -0.011314 Loss_D_fake 0.011648
[1009/5000][65/535][103990] Loss_D: -0.023931 Loss_G: -0.004999 Loss_D_real: -0.019762 Loss_D_fake 0.004170
[1009/5000][70/535][103991] Loss_D: -0.023533 Loss_G: 0.001336 Loss_D_real: -0.010605 Loss_D_fake 0.012928
[1009/5000][75/535][103992] Loss_D: -0.021467 Loss_G: -0.008118 Loss_D_real: 0.000806 Loss_D_fake 0.022273
[1009/5000][80/535][103993] Loss_D: -0.021021 Loss_G: -0.008473 Loss_D_real: -0.006071 Loss_D_fake 0.014950
[1009/5000][85/535][103994] Loss_D: -0.022424 Loss_G: 0.018973 Loss_D_real: -0.019386 Loss_D_fake 0.003038
[1009/5000][90/535][103995] Loss_D: -0.023246 Loss_G: 0.000607 Loss_D_real: -0.012472 Loss_D_fake 0.010775
[1009/5000][95/535][103996] Loss_D: -0.024780 Loss_G: 0.022612 Loss_D_real: -0.031003 Loss_D_fake -0.006224
[1009/5000][100/535][103997] Loss_D: -0.023711 Loss_G: 0.011108 Loss_D_real: -0.025206 Loss_D_fake -0.001495
[1009/5000][105/535][103998] Loss_D: -0.021980 Loss_G: 0.001427 Loss_D_real: -0.025708 Loss_D_fake -0.003728
[1009/5000][110/535][103999] Loss_D: -0.023780 Loss_G: 0.012220 Loss_D_real: -0.025855 Loss_D_fake -0.002075
[1009/5000][115/535][104000] Loss_D: -0.023865 Loss_G: 0.006584 Loss_D_real: -0.020779 Loss_D_fake 0.003086
[1009/5000][215/535][104001] Loss_D: -0.026188 Loss_G: 0.019963 Loss_D_real: -0.030809 Loss_D_fake -0.004622
[1009/5000][220/535][104002] Loss_D: -0.022286 Loss_G: 0.023640 Loss_D_real: -0.026697 Loss_D_fake -0.004411
[1009/5000][225/535][104003] Loss_D: -0.019998 Loss_G: 0.013142 Loss_D_real: -0.021378 Loss_D_fake -0.001380
[1009/5000][230/535][104004] Loss_D: -0.022121 Loss_G: 0.001502 Loss_D_real: -0.027428 Loss_D_fake -0.005307
[1009/5000][235/535][104005] Loss_D: -0.021133 Loss_G: 0.000654 Loss_D_real: -0.013573 Loss_D_fake 0.007560
[1009/5000][240/535][104006] Loss_D: -0.021131 Loss_G: 0.003773 Loss_D_real: -0.012896 Loss_D_fake 0.008236
[1009/5000][245/535][104007] Loss_D: -0.022059 Loss_G: 0.007837 Loss_D_real: -0.018935 Loss_D_fake 0.003124
[1009/5000][250/535][104008] Loss_D: -0.022791 Loss_G: 0.019020 Loss_D_real: -0.020774 Loss_D_fake 0.002017
[1009/5000][255/535][104009] Loss_D: -0.021866 Loss_G: 0.002386 Loss_D_real: -0.014300 Loss_D_fake 0.007566
[1009/5000][260/535][104010] Loss_D: -0.022642 Loss_G: -0.008269 Loss_D_real: -0.003236 Loss_D_fake 0.019406
[1009/5000][265/535][104011] Loss_D: -0.021508 Loss_G: 0.016658 Loss_D_real: -0.025905 Loss_D_fake -0.004397
[1009/5000][270/535][104012] Loss_D: -0.022570 Loss_G: 0.002097 Loss_D_real: -0.011576 Loss_D_fake 0.010993
[1009/5000][275/535][104013] Loss_D: -0.021944 Loss_G: 0.012968 Loss_D_real: -0.022342 Loss_D_fake -0.000398
[1009/5000][280/535][104014] Loss_D: -0.023116 Loss_G: 0.001602 Loss_D_real: -0.024213 Loss_D_fake -0.001098
[1009/5000][285/535][104015] Loss_D: -0.021925 Loss_G: 0.000384 Loss_D_real: -0.014596 Loss_D_fake 0.007329
[1009/5000][290/535][104016] Loss_D: -0.021444 Loss_G: -0.000471 Loss_D_real: -0.019343 Loss_D_fake 0.002101
[1009/5000][295/535][104017] Loss_D: -0.023290 Loss_G: -0.010222 Loss_D_real: -0.004082 Loss_D_fake 0.019208
[1009/5000][300/535][104018] Loss_D: -0.021270 Loss_G: 0.022218 Loss_D_real: -0.028266 Loss_D_fake -0.006996
[1009/5000][305/535][104019] Loss_D: -0.023558 Loss_G: 0.004352 Loss_D_real: -0.020308 Loss_D_fake 0.003250
[1009/5000][310/535][104020] Loss_D: -0.022376 Loss_G: -0.000339 Loss_D_real: -0.016661 Loss_D_fake 0.005715
[1009/5000][315/535][104021] Loss_D: -0.022681 Loss_G: -0.013849 Loss_D_real: -0.006412 Loss_D_fake 0.016269
[1009/5000][320/535][104022] Loss_D: -0.022685 Loss_G: 0.011618 Loss_D_real: -0.014191 Loss_D_fake 0.008493
[1009/5000][325/535][104023] Loss_D: -0.023668 Loss_G: -0.002587 Loss_D_real: -0.013625 Loss_D_fake 0.010043
[1009/5000][330/535][104024] Loss_D: -0.022372 Loss_G: 0.005262 Loss_D_real: -0.006022 Loss_D_fake 0.016350
[1009/5000][335/535][104025] Loss_D: -0.021982 Loss_G: 0.030433 Loss_D_real: -0.035068 Loss_D_fake -0.013086
[1009/5000][340/535][104026] Loss_D: -0.021603 Loss_G: -0.014054 Loss_D_real: -0.006918 Loss_D_fake 0.014685
[1009/5000][345/535][104027] Loss_D: -0.022895 Loss_G: 0.010867 Loss_D_real: -0.017962 Loss_D_fake 0.004933
[1009/5000][350/535][104028] Loss_D: -0.025087 Loss_G: -0.007025 Loss_D_real: -0.022878 Loss_D_fake 0.002209
[1009/5000][355/535][104029] Loss_D: -0.022829 Loss_G: -0.009286 Loss_D_real: 0.000367 Loss_D_fake 0.023196
[1009/5000][360/535][104030] Loss_D: -0.020851 Loss_G: 0.010888 Loss_D_real: -0.022019 Loss_D_fake -0.001167
[1009/5000][365/535][104031] Loss_D: -0.022357 Loss_G: 0.026239 Loss_D_real: -0.031540 Loss_D_fake -0.009183
[1009/5000][370/535][104032] Loss_D: -0.023699 Loss_G: -0.000543 Loss_D_real: -0.018292 Loss_D_fake 0.005407
[1009/5000][375/535][104033] Loss_D: -0.022593 Loss_G: 0.006310 Loss_D_real: -0.020253 Loss_D_fake 0.002340
[1009/5000][380/535][104034] Loss_D: -0.023722 Loss_G: 0.015956 Loss_D_real: -0.021611 Loss_D_fake 0.002111
[1009/5000][385/535][104035] Loss_D: -0.023904 Loss_G: 0.006970 Loss_D_real: -0.013993 Loss_D_fake 0.009911
[1009/5000][390/535][104036] Loss_D: -0.021647 Loss_G: 0.006221 Loss_D_real: -0.018060 Loss_D_fake 0.003587
[1009/5000][395/535][104037] Loss_D: -0.021692 Loss_G: 0.015291 Loss_D_real: -0.025199 Loss_D_fake -0.003506
[1009/5000][400/535][104038] Loss_D: -0.022777 Loss_G: -0.004255 Loss_D_real: -0.012124 Loss_D_fake 0.010653
[1009/5000][405/535][104039] Loss_D: -0.023200 Loss_G: 0.008868 Loss_D_real: -0.015845 Loss_D_fake 0.007355
[1009/5000][410/535][104040] Loss_D: -0.021436 Loss_G: 0.016929 Loss_D_real: -0.029345 Loss_D_fake -0.007909
[1009/5000][415/535][104041] Loss_D: -0.024508 Loss_G: 0.007860 Loss_D_real: -0.021703 Loss_D_fake 0.002805
[1009/5000][420/535][104042] Loss_D: -0.021320 Loss_G: 0.019475 Loss_D_real: -0.029831 Loss_D_fake -0.008511
[1009/5000][425/535][104043] Loss_D: -0.023581 Loss_G: 0.008479 Loss_D_real: -0.021827 Loss_D_fake 0.001754
[1009/5000][430/535][104044] Loss_D: -0.023517 Loss_G: 0.000466 Loss_D_real: -0.011467 Loss_D_fake 0.012050
[1009/5000][435/535][104045] Loss_D: -0.023610 Loss_G: 0.000575 Loss_D_real: -0.027603 Loss_D_fake -0.003993
[1009/5000][440/535][104046] Loss_D: -0.022630 Loss_G: 0.001232 Loss_D_real: -0.011227 Loss_D_fake 0.011403
[1009/5000][445/535][104047] Loss_D: -0.022258 Loss_G: 0.019287 Loss_D_real: -0.019706 Loss_D_fake 0.002551
[1009/5000][450/535][104048] Loss_D: -0.021609 Loss_G: 0.011213 Loss_D_real: -0.010965 Loss_D_fake 0.010644
[1009/5000][455/535][104049] Loss_D: -0.023317 Loss_G: 0.004814 Loss_D_real: -0.010965 Loss_D_fake 0.012352
[1009/5000][460/535][104050] Loss_D: -0.021256 Loss_G: -0.013106 Loss_D_real: -0.005922 Loss_D_fake 0.015334
[1009/5000][465/535][104051] Loss_D: -0.023450 Loss_G: 0.001559 Loss_D_real: -0.016460 Loss_D_fake 0.006991
[1009/5000][470/535][104052] Loss_D: -0.022087 Loss_G: 0.009993 Loss_D_real: -0.012806 Loss_D_fake 0.009281
[1009/5000][475/535][104053] Loss_D: -0.022604 Loss_G: 0.000738 Loss_D_real: -0.009791 Loss_D_fake 0.012813
[1009/5000][480/535][104054] Loss_D: -0.021512 Loss_G: 0.001225 Loss_D_real: -0.026933 Loss_D_fake -0.005421
[1009/5000][485/535][104055] Loss_D: -0.022038 Loss_G: 0.006429 Loss_D_real: -0.021959 Loss_D_fake 0.000079
[1009/5000][490/535][104056] Loss_D: -0.022882 Loss_G: 0.008598 Loss_D_real: -0.025818 Loss_D_fake -0.002937
[1009/5000][495/535][104057] Loss_D: -0.021559 Loss_G: -0.011069 Loss_D_real: -0.001173 Loss_D_fake 0.020387
[1009/5000][500/535][104058] Loss_D: -0.021766 Loss_G: 0.018843 Loss_D_real: -0.024549 Loss_D_fake -0.002783
[1009/5000][505/535][104059] Loss_D: -0.021637 Loss_G: 0.025188 Loss_D_real: -0.034521 Loss_D_fake -0.012885
[1009/5000][510/535][104060] Loss_D: -0.021831 Loss_G: -0.008517 Loss_D_real: -0.014722 Loss_D_fake 0.007109
[1009/5000][515/535][104061] Loss_D: -0.021261 Loss_G: 0.024246 Loss_D_real: -0.031275 Loss_D_fake -0.010013
[1009/5000][520/535][104062] Loss_D: -0.022139 Loss_G: 0.010024 Loss_D_real: -0.021885 Loss_D_fake 0.000253
[1009/5000][525/535][104063] Loss_D: -0.020157 Loss_G: 0.014714 Loss_D_real: -0.027776 Loss_D_fake -0.007620
[1009/5000][530/535][104064] Loss_D: -0.022991 Loss_G: 0.024015 Loss_D_real: -0.020527 Loss_D_fake 0.002464
[1009/5000][535/535][104065] Loss_D: -0.020867 Loss_G: 0.025513 Loss_D_real: -0.028934 Loss_D_fake -0.008067
[1010/5000][5/535][104066] Loss_D: -0.022605 Loss_G: 0.016274 Loss_D_real: -0.024740 Loss_D_fake -0.002135
[1010/5000][10/535][104067] Loss_D: -0.023516 Loss_G: 0.009627 Loss_D_real: -0.030503 Loss_D_fake -0.006986
[1010/5000][15/535][104068] Loss_D: -0.021899 Loss_G: 0.001454 Loss_D_real: -0.010190 Loss_D_fake 0.011709
[1010/5000][20/535][104069] Loss_D: -0.023158 Loss_G: 0.017291 Loss_D_real: -0.029254 Loss_D_fake -0.006097
[1010/5000][25/535][104070] Loss_D: -0.022715 Loss_G: -0.011077 Loss_D_real: -0.017616 Loss_D_fake 0.005099
[1010/5000][30/535][104071] Loss_D: -0.023057 Loss_G: 0.001421 Loss_D_real: -0.018937 Loss_D_fake 0.004120
[1010/5000][35/535][104072] Loss_D: -0.023141 Loss_G: -0.005869 Loss_D_real: -0.007603 Loss_D_fake 0.015538
[1010/5000][40/535][104073] Loss_D: -0.023299 Loss_G: 0.025542 Loss_D_real: -0.029551 Loss_D_fake -0.006252
[1010/5000][45/535][104074] Loss_D: -0.022965 Loss_G: 0.001648 Loss_D_real: -0.021525 Loss_D_fake 0.001440
[1010/5000][50/535][104075] Loss_D: -0.023295 Loss_G: 0.022072 Loss_D_real: -0.029355 Loss_D_fake -0.006060
[1010/5000][55/535][104076] Loss_D: -0.022812 Loss_G: 0.034080 Loss_D_real: -0.033253 Loss_D_fake -0.010440
[1010/5000][60/535][104077] Loss_D: -0.023463 Loss_G: 0.005908 Loss_D_real: -0.022470 Loss_D_fake 0.000993
[1010/5000][65/535][104078] Loss_D: -0.022675 Loss_G: 0.025563 Loss_D_real: -0.032579 Loss_D_fake -0.009904
[1010/5000][70/535][104079] Loss_D: -0.024285 Loss_G: 0.015467 Loss_D_real: -0.026735 Loss_D_fake -0.002450
[1010/5000][75/535][104080] Loss_D: -0.025248 Loss_G: 0.023737 Loss_D_real: -0.027785 Loss_D_fake -0.002537
[1010/5000][80/535][104081] Loss_D: -0.025215 Loss_G: 0.026532 Loss_D_real: -0.034007 Loss_D_fake -0.008792
[1010/5000][85/535][104082] Loss_D: -0.023411 Loss_G: 0.016109 Loss_D_real: -0.020580 Loss_D_fake 0.002831
[1010/5000][90/535][104083] Loss_D: -0.022334 Loss_G: 0.012883 Loss_D_real: -0.026354 Loss_D_fake -0.004020
[1010/5000][95/535][104084] Loss_D: -0.022769 Loss_G: 0.020509 Loss_D_real: -0.028040 Loss_D_fake -0.005271
[1010/5000][100/535][104085] Loss_D: -0.023617 Loss_G: 0.000000 Loss_D_real: -0.005870 Loss_D_fake 0.017747
[1010/5000][105/535][104086] Loss_D: -0.023238 Loss_G: 0.024751 Loss_D_real: -0.032727 Loss_D_fake -0.009488
[1010/5000][110/535][104087] Loss_D: -0.022644 Loss_G: 0.012621 Loss_D_real: -0.012913 Loss_D_fake 0.009732
[1010/5000][115/535][104088] Loss_D: -0.023891 Loss_G: 0.017012 Loss_D_real: -0.014781 Loss_D_fake 0.009111
[1010/5000][120/535][104089] Loss_D: -0.024746 Loss_G: 0.007254 Loss_D_real: -0.015092 Loss_D_fake 0.009654
[1010/5000][125/535][104090] Loss_D: -0.023181 Loss_G: 0.003706 Loss_D_real: -0.020284 Loss_D_fake 0.002897
[1010/5000][130/535][104091] Loss_D: -0.023366 Loss_G: 0.006955 Loss_D_real: -0.030130 Loss_D_fake -0.006764
[1010/5000][135/535][104092] Loss_D: -0.023720 Loss_G: 0.012768 Loss_D_real: -0.028236 Loss_D_fake -0.004516
[1010/5000][140/535][104093] Loss_D: -0.023534 Loss_G: -0.004316 Loss_D_real: -0.010634 Loss_D_fake 0.012900
[1010/5000][145/535][104094] Loss_D: -0.024230 Loss_G: 0.014887 Loss_D_real: -0.021595 Loss_D_fake 0.002635
[1010/5000][150/535][104095] Loss_D: -0.023603 Loss_G: 0.002923 Loss_D_real: -0.014218 Loss_D_fake 0.009385
[1010/5000][155/535][104096] Loss_D: -0.022618 Loss_G: 0.014555 Loss_D_real: -0.021111 Loss_D_fake 0.001506
[1010/5000][160/535][104097] Loss_D: -0.023793 Loss_G: -0.000824 Loss_D_real: -0.019469 Loss_D_fake 0.004324
[1010/5000][165/535][104098] Loss_D: -0.024341 Loss_G: 0.008651 Loss_D_real: -0.025451 Loss_D_fake -0.001109
[1010/5000][170/535][104099] Loss_D: -0.023629 Loss_G: 0.010774 Loss_D_real: -0.024366 Loss_D_fake -0.000738
[1010/5000][175/535][104100] Loss_D: -0.023008 Loss_G: -0.002003 Loss_D_real: -0.002657 Loss_D_fake 0.020350
[1010/5000][180/535][104101] Loss_D: -0.022174 Loss_G: 0.005074 Loss_D_real: -0.024103 Loss_D_fake -0.001929
[1010/5000][185/535][104102] Loss_D: -0.024035 Loss_G: 0.016658 Loss_D_real: -0.020142 Loss_D_fake 0.003893
[1010/5000][190/535][104103] Loss_D: -0.022648 Loss_G: 0.002118 Loss_D_real: -0.006514 Loss_D_fake 0.016134
[1010/5000][195/535][104104] Loss_D: -0.023513 Loss_G: 0.018392 Loss_D_real: -0.034670 Loss_D_fake -0.011157
[1010/5000][200/535][104105] Loss_D: -0.022403 Loss_G: 0.017585 Loss_D_real: -0.023221 Loss_D_fake -0.000817
[1010/5000][205/535][104106] Loss_D: -0.023416 Loss_G: 0.019863 Loss_D_real: -0.022353 Loss_D_fake 0.001063
[1010/5000][210/535][104107] Loss_D: -0.023743 Loss_G: 0.028183 Loss_D_real: -0.035468 Loss_D_fake -0.011725
[1010/5000][215/535][104108] Loss_D: -0.021536 Loss_G: 0.015668 Loss_D_real: -0.027347 Loss_D_fake -0.005811
[1010/5000][220/535][104109] Loss_D: -0.023590 Loss_G: 0.001623 Loss_D_real: -0.017605 Loss_D_fake 0.005985
[1010/5000][225/535][104110] Loss_D: -0.022653 Loss_G: 0.007055 Loss_D_real: -0.023580 Loss_D_fake -0.000928
[1010/5000][230/535][104111] Loss_D: -0.023163 Loss_G: 0.007493 Loss_D_real: -0.017283 Loss_D_fake 0.005880
[1010/5000][235/535][104112] Loss_D: -0.022038 Loss_G: 0.013850 Loss_D_real: -0.022651 Loss_D_fake -0.000613
[1010/5000][240/535][104113] Loss_D: -0.022157 Loss_G: 0.016018 Loss_D_real: -0.017961 Loss_D_fake 0.004196
[1010/5000][245/535][104114] Loss_D: -0.021805 Loss_G: -0.001142 Loss_D_real: -0.016613 Loss_D_fake 0.005192
[1010/5000][250/535][104115] Loss_D: -0.023347 Loss_G: -0.006173 Loss_D_real: -0.013577 Loss_D_fake 0.009770
[1010/5000][255/535][104116] Loss_D: -0.023164 Loss_G: 0.001669 Loss_D_real: -0.023467 Loss_D_fake -0.000303
[1010/5000][260/535][104117] Loss_D: -0.022988 Loss_G: 0.017230 Loss_D_real: -0.025048 Loss_D_fake -0.002060
[1010/5000][265/535][104118] Loss_D: -0.022123 Loss_G: 0.005726 Loss_D_real: -0.015142 Loss_D_fake 0.006981
[1010/5000][270/535][104119] Loss_D: -0.022641 Loss_G: 0.011260 Loss_D_real: -0.028970 Loss_D_fake -0.006329
[1010/5000][275/535][104120] Loss_D: -0.021833 Loss_G: 0.000393 Loss_D_real: -0.020867 Loss_D_fake 0.000966
[1010/5000][280/535][104121] Loss_D: -0.022126 Loss_G: 0.001206 Loss_D_real: -0.014503 Loss_D_fake 0.007623
[1010/5000][285/535][104122] Loss_D: -0.022188 Loss_G: 0.008536 Loss_D_real: -0.013678 Loss_D_fake 0.008510
[1010/5000][290/535][104123] Loss_D: -0.022613 Loss_G: 0.026069 Loss_D_real: -0.024420 Loss_D_fake -0.001807
[1010/5000][295/535][104124] Loss_D: -0.023794 Loss_G: 0.008930 Loss_D_real: -0.012943 Loss_D_fake 0.010851
[1010/5000][300/535][104125] Loss_D: -0.023011 Loss_G: -0.002062 Loss_D_real: -0.011860 Loss_D_fake 0.011151
[1010/5000][305/535][104126] Loss_D: -0.023295 Loss_G: -0.004583 Loss_D_real: -0.010568 Loss_D_fake 0.012727
[1010/5000][310/535][104127] Loss_D: -0.023221 Loss_G: 0.026315 Loss_D_real: -0.028780 Loss_D_fake -0.005559
[1010/5000][315/535][104128] Loss_D: -0.021854 Loss_G: -0.013650 Loss_D_real: -0.006077 Loss_D_fake 0.015777
[1010/5000][320/535][104129] Loss_D: -0.022710 Loss_G: 0.006954 Loss_D_real: -0.018217 Loss_D_fake 0.004493
[1010/5000][325/535][104130] Loss_D: -0.021815 Loss_G: -0.005972 Loss_D_real: -0.009502 Loss_D_fake 0.012314
[1010/5000][330/535][104131] Loss_D: -0.024637 Loss_G: 0.012659 Loss_D_real: -0.021212 Loss_D_fake 0.003425
[1010/5000][335/535][104132] Loss_D: -0.021824 Loss_G: 0.013578 Loss_D_real: -0.029266 Loss_D_fake -0.007442
[1010/5000][340/535][104133] Loss_D: -0.022217 Loss_G: -0.006290 Loss_D_real: -0.012701 Loss_D_fake 0.009516
[1010/5000][345/535][104134] Loss_D: -0.022644 Loss_G: 0.011160 Loss_D_real: -0.024562 Loss_D_fake -0.001918
[1010/5000][350/535][104135] Loss_D: -0.023073 Loss_G: -0.009931 Loss_D_real: 0.001250 Loss_D_fake 0.024322
[1010/5000][355/535][104136] Loss_D: -0.023402 Loss_G: 0.003471 Loss_D_real: -0.020449 Loss_D_fake 0.002954
[1010/5000][360/535][104137] Loss_D: -0.022654 Loss_G: -0.011195 Loss_D_real: -0.013194 Loss_D_fake 0.009460
[1010/5000][365/535][104138] Loss_D: -0.023310 Loss_G: 0.017155 Loss_D_real: -0.024168 Loss_D_fake -0.000858
[1010/5000][370/535][104139] Loss_D: -0.022886 Loss_G: 0.014357 Loss_D_real: -0.011356 Loss_D_fake 0.011530
[1010/5000][375/535][104140] Loss_D: -0.023426 Loss_G: 0.006457 Loss_D_real: -0.021483 Loss_D_fake 0.001943
[1010/5000][380/535][104141] Loss_D: -0.023032 Loss_G: 0.001424 Loss_D_real: -0.010773 Loss_D_fake 0.012259
[1010/5000][385/535][104142] Loss_D: -0.024592 Loss_G: 0.011275 Loss_D_real: -0.025203 Loss_D_fake -0.000611
[1010/5000][390/535][104143] Loss_D: -0.023639 Loss_G: -0.005537 Loss_D_real: -0.017746 Loss_D_fake 0.005893
[1010/5000][395/535][104144] Loss_D: -0.023263 Loss_G: 0.026933 Loss_D_real: -0.031545 Loss_D_fake -0.008282
[1010/5000][400/535][104145] Loss_D: -0.023052 Loss_G: 0.037842 Loss_D_real: -0.028088 Loss_D_fake -0.005035
[1010/5000][405/535][104146] Loss_D: -0.023014 Loss_G: 0.000634 Loss_D_real: -0.020068 Loss_D_fake 0.002946
[1010/5000][410/535][104147] Loss_D: -0.023489 Loss_G: 0.001583 Loss_D_real: -0.026933 Loss_D_fake -0.003445
[1010/5000][415/535][104148] Loss_D: -0.023680 Loss_G: -0.000610 Loss_D_real: -0.007156 Loss_D_fake 0.016525
[1010/5000][420/535][104149] Loss_D: -0.023701 Loss_G: 0.009799 Loss_D_real: -0.017739 Loss_D_fake 0.005963
[1010/5000][425/535][104150] Loss_D: -0.022319 Loss_G: 0.010236 Loss_D_real: -0.027358 Loss_D_fake -0.005039
[1010/5000][430/535][104151] Loss_D: -0.020637 Loss_G: 0.033647 Loss_D_real: -0.032790 Loss_D_fake -0.012153
[1010/5000][435/535][104152] Loss_D: -0.023201 Loss_G: 0.022099 Loss_D_real: -0.024943 Loss_D_fake -0.001742
[1010/5000][440/535][104153] Loss_D: -0.025067 Loss_G: 0.003992 Loss_D_real: -0.019579 Loss_D_fake 0.005488
[1010/5000][445/535][104154] Loss_D: -0.021315 Loss_G: 0.002573 Loss_D_real: -0.012804 Loss_D_fake 0.008511
[1010/5000][450/535][104155] Loss_D: -0.022366 Loss_G: 0.006698 Loss_D_real: -0.012709 Loss_D_fake 0.009657
[1010/5000][455/535][104156] Loss_D: -0.022690 Loss_G: 0.017749 Loss_D_real: -0.023860 Loss_D_fake -0.001169
[1010/5000][460/535][104157] Loss_D: -0.025444 Loss_G: 0.000684 Loss_D_real: -0.023376 Loss_D_fake 0.002068
[1010/5000][465/535][104158] Loss_D: -0.024109 Loss_G: 0.021759 Loss_D_real: -0.032850 Loss_D_fake -0.008741
[1010/5000][470/535][104159] Loss_D: -0.021851 Loss_G: 0.004746 Loss_D_real: -0.026953 Loss_D_fake -0.005102
[1010/5000][475/535][104160] Loss_D: -0.023419 Loss_G: 0.022576 Loss_D_real: -0.030618 Loss_D_fake -0.007200
[1010/5000][480/535][104161] Loss_D: -0.022341 Loss_G: 0.007369 Loss_D_real: -0.017100 Loss_D_fake 0.005240
[1010/5000][485/535][104162] Loss_D: -0.023757 Loss_G: 0.012733 Loss_D_real: -0.024074 Loss_D_fake -0.000318
[1010/5000][490/535][104163] Loss_D: -0.021302 Loss_G: 0.013969 Loss_D_real: -0.028178 Loss_D_fake -0.006876
[1010/5000][495/535][104164] Loss_D: -0.022443 Loss_G: 0.016551 Loss_D_real: -0.028961 Loss_D_fake -0.006518
[1010/5000][500/535][104165] Loss_D: -0.022730 Loss_G: 0.023507 Loss_D_real: -0.015114 Loss_D_fake 0.007616
[1010/5000][505/535][104166] Loss_D: -0.021675 Loss_G: -0.003561 Loss_D_real: -0.008192 Loss_D_fake 0.013483
[1010/5000][510/535][104167] Loss_D: -0.021688 Loss_G: 0.017403 Loss_D_real: -0.034505 Loss_D_fake -0.012817
[1010/5000][515/535][104168] Loss_D: -0.021937 Loss_G: 0.008494 Loss_D_real: -0.019301 Loss_D_fake 0.002636
[1010/5000][520/535][104169] Loss_D: -0.023811 Loss_G: 0.002283 Loss_D_real: -0.016950 Loss_D_fake 0.006862
[1010/5000][525/535][104170] Loss_D: -0.023386 Loss_G: 0.001560 Loss_D_real: -0.030774 Loss_D_fake -0.007389
[1010/5000][530/535][104171] Loss_D: -0.023159 Loss_G: 0.007306 Loss_D_real: -0.011585 Loss_D_fake 0.011574
[1010/5000][535/535][104172] Loss_D: -0.023836 Loss_G: -0.005237 Loss_D_real: -0.027762 Loss_D_fake -0.003927
[1011/5000][5/535][104173] Loss_D: -0.024797 Loss_G: 0.020682 Loss_D_real: -0.021619 Loss_D_fake 0.003178
[1011/5000][10/535][104174] Loss_D: -0.023363 Loss_G: 0.009239 Loss_D_real: -0.013870 Loss_D_fake 0.009493
[1011/5000][15/535][104175] Loss_D: -0.022624 Loss_G: -0.000940 Loss_D_real: -0.014302 Loss_D_fake 0.008322
[1011/5000][20/535][104176] Loss_D: -0.023158 Loss_G: 0.017761 Loss_D_real: -0.027484 Loss_D_fake -0.004325
[1011/5000][25/535][104177] Loss_D: -0.022455 Loss_G: -0.005537 Loss_D_real: -0.012837 Loss_D_fake 0.009618
[1011/5000][30/535][104178] Loss_D: -0.021834 Loss_G: 0.025917 Loss_D_real: -0.036383 Loss_D_fake -0.014549
[1011/5000][35/535][104179] Loss_D: -0.022204 Loss_G: -0.002765 Loss_D_real: -0.010596 Loss_D_fake 0.011608
[1011/5000][40/535][104180] Loss_D: -0.022844 Loss_G: 0.009729 Loss_D_real: -0.034409 Loss_D_fake -0.011565
[1011/5000][45/535][104181] Loss_D: -0.024612 Loss_G: -0.001679 Loss_D_real: -0.014782 Loss_D_fake 0.009830
[1011/5000][50/535][104182] Loss_D: -0.022835 Loss_G: 0.015480 Loss_D_real: -0.021093 Loss_D_fake 0.001741
[1011/5000][55/535][104183] Loss_D: -0.022543 Loss_G: 0.000779 Loss_D_real: -0.022194 Loss_D_fake 0.000349
[1011/5000][60/535][104184] Loss_D: -0.021793 Loss_G: 0.003464 Loss_D_real: -0.021103 Loss_D_fake 0.000690
[1011/5000][65/535][104185] Loss_D: -0.022539 Loss_G: 0.014027 Loss_D_real: -0.022189 Loss_D_fake 0.000350
[1011/5000][70/535][104186] Loss_D: -0.023465 Loss_G: 0.005491 Loss_D_real: -0.008844 Loss_D_fake 0.014621
[1011/5000][75/535][104187] Loss_D: -0.022345 Loss_G: -0.003745 Loss_D_real: -0.018931 Loss_D_fake 0.003414
[1011/5000][80/535][104188] Loss_D: -0.021551 Loss_G: 0.000172 Loss_D_real: -0.007250 Loss_D_fake 0.014301
[1011/5000][85/535][104189] Loss_D: -0.022835 Loss_G: 0.023239 Loss_D_real: -0.034223 Loss_D_fake -0.011388
[1011/5000][90/535][104190] Loss_D: -0.022156 Loss_G: 0.024804 Loss_D_real: -0.033540 Loss_D_fake -0.011383
[1011/5000][95/535][104191] Loss_D: -0.023629 Loss_G: 0.020303 Loss_D_real: -0.023613 Loss_D_fake 0.000017
[1011/5000][100/535][104192] Loss_D: -0.023602 Loss_G: 0.004467 Loss_D_real: -0.014271 Loss_D_fake 0.009331
[1011/5000][105/535][104193] Loss_D: -0.022711 Loss_G: -0.015504 Loss_D_real: -0.015650 Loss_D_fake 0.007061
[1011/5000][110/535][104194] Loss_D: -0.023938 Loss_G: 0.020778 Loss_D_real: -0.017720 Loss_D_fake 0.006217
[1011/5000][115/535][104195] Loss_D: -0.024094 Loss_G: 0.017812 Loss_D_real: -0.023619 Loss_D_fake 0.000475
[1011/5000][120/535][104196] Loss_D: -0.023215 Loss_G: -0.008611 Loss_D_real: -0.009719 Loss_D_fake 0.013497
[1011/5000][125/535][104197] Loss_D: -0.023664 Loss_G: 0.009794 Loss_D_real: -0.019975 Loss_D_fake 0.003689
[1011/5000][130/535][104198] Loss_D: -0.021634 Loss_G: -0.016827 Loss_D_real: -0.007972 Loss_D_fake 0.013661
[1011/5000][135/535][104199] Loss_D: -0.021617 Loss_G: 0.018749 Loss_D_real: -0.021412 Loss_D_fake 0.000205
[1011/5000][140/535][104200] Loss_D: -0.023598 Loss_G: 0.011207 Loss_D_real: -0.020125 Loss_D_fake 0.003473
[1011/5000][145/535][104201] Loss_D: -0.022900 Loss_G: 0.009544 Loss_D_real: -0.018986 Loss_D_fake 0.003914
[1011/5000][150/535][104202] Loss_D: -0.021831 Loss_G: 0.019894 Loss_D_real: -0.027826 Loss_D_fake -0.005994
[1011/5000][155/535][104203] Loss_D: -0.025261 Loss_G: 0.016573 Loss_D_real: -0.023538 Loss_D_fake 0.001723
[1011/5000][160/535][104204] Loss_D: -0.022476 Loss_G: -0.010056 Loss_D_real: -0.006848 Loss_D_fake 0.015629
[1011/5000][165/535][104205] Loss_D: -0.022153 Loss_G: -0.008696 Loss_D_real: -0.010445 Loss_D_fake 0.011709
[1011/5000][170/535][104206] Loss_D: -0.022447 Loss_G: 0.019255 Loss_D_real: -0.029388 Loss_D_fake -0.006940
[1011/5000][175/535][104207] Loss_D: -0.023559 Loss_G: -0.002855 Loss_D_real: -0.014494 Loss_D_fake 0.009065
[1011/5000][180/535][104208] Loss_D: -0.023107 Loss_G: 0.021144 Loss_D_real: -0.021684 Loss_D_fake 0.001423
[1011/5000][185/535][104209] Loss_D: -0.023956 Loss_G: 0.003636 Loss_D_real: -0.025337 Loss_D_fake -0.001380
[1011/5000][190/535][104210] Loss_D: -0.023243 Loss_G: 0.004840 Loss_D_real: -0.016321 Loss_D_fake 0.006922
[1011/5000][195/535][104211] Loss_D: -0.023876 Loss_G: -0.008987 Loss_D_real: -0.007702 Loss_D_fake 0.016174
[1011/5000][200/535][104212] Loss_D: -0.022444 Loss_G: -0.015368 Loss_D_real: -0.015033 Loss_D_fake 0.007411
[1011/5000][205/535][104213] Loss_D: -0.023390 Loss_G: 0.016033 Loss_D_real: -0.011928 Loss_D_fake 0.011462
[1011/5000][210/535][104214] Loss_D: -0.023875 Loss_G: 0.015255 Loss_D_real: -0.024580 Loss_D_fake -0.000704
[1011/5000][215/535][104215] Loss_D: -0.023499 Loss_G: 0.003376 Loss_D_real: -0.010471 Loss_D_fake 0.013028
[1011/5000][220/535][104216] Loss_D: -0.023580 Loss_G: -0.005057 Loss_D_real: -0.023388 Loss_D_fake 0.000192
[1011/5000][225/535][104217] Loss_D: -0.023610 Loss_G: 0.016401 Loss_D_real: -0.022086 Loss_D_fake 0.001524
[1011/5000][230/535][104218] Loss_D: -0.021399 Loss_G: -0.026079 Loss_D_real: 0.008193 Loss_D_fake 0.029591
[1011/5000][235/535][104219] Loss_D: -0.024763 Loss_G: 0.014022 Loss_D_real: -0.012947 Loss_D_fake 0.011816
[1011/5000][240/535][104220] Loss_D: -0.021795 Loss_G: -0.004584 Loss_D_real: -0.013177 Loss_D_fake 0.008618
[1011/5000][245/535][104221] Loss_D: -0.023757 Loss_G: 0.020836 Loss_D_real: -0.026056 Loss_D_fake -0.002299
[1011/5000][250/535][104222] Loss_D: -0.023326 Loss_G: 0.021756 Loss_D_real: -0.028274 Loss_D_fake -0.004948
[1011/5000][255/535][104223] Loss_D: -0.022893 Loss_G: -0.005906 Loss_D_real: -0.015375 Loss_D_fake 0.007518
[1011/5000][260/535][104224] Loss_D: -0.023213 Loss_G: 0.000099 Loss_D_real: -0.028392 Loss_D_fake -0.005180
[1011/5000][265/535][104225] Loss_D: -0.023112 Loss_G: -0.001842 Loss_D_real: -0.010734 Loss_D_fake 0.012378
[1011/5000][270/535][104226] Loss_D: -0.023468 Loss_G: 0.007400 Loss_D_real: -0.014104 Loss_D_fake 0.009364
[1011/5000][275/535][104227] Loss_D: -0.022208 Loss_G: 0.008572 Loss_D_real: -0.024090 Loss_D_fake -0.001883
[1011/5000][280/535][104228] Loss_D: -0.021425 Loss_G: 0.025816 Loss_D_real: -0.027875 Loss_D_fake -0.006450
[1011/5000][285/535][104229] Loss_D: -0.023948 Loss_G: 0.001967 Loss_D_real: -0.018138 Loss_D_fake 0.005810
[1011/5000][290/535][104230] Loss_D: -0.022681 Loss_G: -0.000823 Loss_D_real: -0.004593 Loss_D_fake 0.018088
[1011/5000][295/535][104231] Loss_D: -0.022507 Loss_G: -0.003433 Loss_D_real: -0.012654 Loss_D_fake 0.009853
[1011/5000][300/535][104232] Loss_D: -0.023136 Loss_G: 0.013601 Loss_D_real: -0.015927 Loss_D_fake 0.007208
[1011/5000][305/535][104233] Loss_D: -0.022480 Loss_G: -0.009681 Loss_D_real: -0.009143 Loss_D_fake 0.013337
[1011/5000][310/535][104234] Loss_D: -0.021090 Loss_G: 0.030151 Loss_D_real: -0.038453 Loss_D_fake -0.017363
[1011/5000][315/535][104235] Loss_D: -0.023102 Loss_G: -0.008660 Loss_D_real: -0.010317 Loss_D_fake 0.012785
[1011/5000][320/535][104236] Loss_D: -0.023098 Loss_G: -0.002373 Loss_D_real: -0.009844 Loss_D_fake 0.013254
[1011/5000][325/535][104237] Loss_D: -0.021566 Loss_G: 0.014919 Loss_D_real: -0.029788 Loss_D_fake -0.008223
[1011/5000][330/535][104238] Loss_D: -0.022531 Loss_G: 0.004021 Loss_D_real: -0.004824 Loss_D_fake 0.017707
[1011/5000][335/535][104239] Loss_D: -0.022358 Loss_G: 0.026078 Loss_D_real: -0.035133 Loss_D_fake -0.012776
[1011/5000][340/535][104240] Loss_D: -0.022488 Loss_G: 0.019225 Loss_D_real: -0.033106 Loss_D_fake -0.010618
[1011/5000][345/535][104241] Loss_D: -0.022877 Loss_G: 0.005193 Loss_D_real: -0.010017 Loss_D_fake 0.012860
[1011/5000][350/535][104242] Loss_D: -0.023515 Loss_G: 0.012461 Loss_D_real: -0.023570 Loss_D_fake -0.000056
[1011/5000][355/535][104243] Loss_D: -0.023728 Loss_G: -0.005194 Loss_D_real: -0.012922 Loss_D_fake 0.010806
[1011/5000][360/535][104244] Loss_D: -0.022487 Loss_G: 0.006361 Loss_D_real: -0.020278 Loss_D_fake 0.002209
[1011/5000][365/535][104245] Loss_D: -0.021634 Loss_G: 0.024147 Loss_D_real: -0.037782 Loss_D_fake -0.016148
[1011/5000][370/535][104246] Loss_D: -0.023412 Loss_G: 0.005006 Loss_D_real: -0.025193 Loss_D_fake -0.001781
[1011/5000][375/535][104247] Loss_D: -0.022299 Loss_G: 0.013767 Loss_D_real: -0.021613 Loss_D_fake 0.000687
[1011/5000][380/535][104248] Loss_D: -0.022739 Loss_G: -0.004777 Loss_D_real: -0.012573 Loss_D_fake 0.010165
[1011/5000][385/535][104249] Loss_D: -0.020656 Loss_G: 0.024021 Loss_D_real: -0.026080 Loss_D_fake -0.005424
[1011/5000][390/535][104250] Loss_D: -0.023704 Loss_G: 0.010766 Loss_D_real: -0.010994 Loss_D_fake 0.012709
[1011/5000][395/535][104251] Loss_D: -0.023895 Loss_G: 0.012509 Loss_D_real: -0.028724 Loss_D_fake -0.004829
[1011/5000][400/535][104252] Loss_D: -0.022914 Loss_G: 0.021855 Loss_D_real: -0.027930 Loss_D_fake -0.005016
[1011/5000][405/535][104253] Loss_D: -0.022661 Loss_G: 0.006720 Loss_D_real: -0.017528 Loss_D_fake 0.005133
[1011/5000][410/535][104254] Loss_D: -0.022096 Loss_G: -0.002583 Loss_D_real: -0.013977 Loss_D_fake 0.008119
[1011/5000][415/535][104255] Loss_D: -0.021039 Loss_G: 0.010254 Loss_D_real: -0.027725 Loss_D_fake -0.006686
[1011/5000][420/535][104256] Loss_D: -0.022410 Loss_G: -0.012962 Loss_D_real: -0.011032 Loss_D_fake 0.011378
[1011/5000][425/535][104257] Loss_D: -0.023589 Loss_G: 0.001824 Loss_D_real: 0.001366 Loss_D_fake 0.024955
[1011/5000][430/535][104258] Loss_D: -0.022422 Loss_G: 0.000961 Loss_D_real: -0.027493 Loss_D_fake -0.005071
[1011/5000][435/535][104259] Loss_D: -0.022144 Loss_G: 0.024501 Loss_D_real: -0.034713 Loss_D_fake -0.012569
[1011/5000][440/535][104260] Loss_D: -0.021493 Loss_G: -0.002216 Loss_D_real: -0.011990 Loss_D_fake 0.009502
[1011/5000][445/535][104261] Loss_D: -0.022958 Loss_G: 0.000925 Loss_D_real: -0.024365 Loss_D_fake -0.001407
[1011/5000][450/535][104262] Loss_D: -0.022670 Loss_G: 0.020126 Loss_D_real: -0.018000 Loss_D_fake 0.004670
[1011/5000][455/535][104263] Loss_D: -0.022770 Loss_G: 0.003847 Loss_D_real: -0.016835 Loss_D_fake 0.005935
[1011/5000][460/535][104264] Loss_D: -0.023592 Loss_G: 0.001672 Loss_D_real: -0.012938 Loss_D_fake 0.010654
[1011/5000][465/535][104265] Loss_D: -0.023439 Loss_G: 0.007626 Loss_D_real: -0.020153 Loss_D_fake 0.003286
[1011/5000][470/535][104266] Loss_D: -0.024042 Loss_G: 0.000202 Loss_D_real: -0.008230 Loss_D_fake 0.015812
[1011/5000][475/535][104267] Loss_D: -0.022973 Loss_G: 0.012973 Loss_D_real: -0.024252 Loss_D_fake -0.001279
[1011/5000][480/535][104268] Loss_D: -0.023946 Loss_G: 0.004841 Loss_D_real: -0.027390 Loss_D_fake -0.003444
[1011/5000][485/535][104269] Loss_D: -0.022904 Loss_G: 0.018695 Loss_D_real: -0.022347 Loss_D_fake 0.000558
[1011/5000][490/535][104270] Loss_D: -0.022053 Loss_G: -0.010785 Loss_D_real: -0.003403 Loss_D_fake 0.018649
[1011/5000][495/535][104271] Loss_D: -0.021460 Loss_G: 0.016183 Loss_D_real: -0.027144 Loss_D_fake -0.005684
[1011/5000][500/535][104272] Loss_D: -0.022018 Loss_G: 0.013868 Loss_D_real: -0.018164 Loss_D_fake 0.003854
[1011/5000][505/535][104273] Loss_D: -0.022788 Loss_G: -0.012659 Loss_D_real: -0.009077 Loss_D_fake 0.013711
[1011/5000][510/535][104274] Loss_D: -0.023681 Loss_G: 0.018769 Loss_D_real: -0.020172 Loss_D_fake 0.003509
[1011/5000][515/535][104275] Loss_D: -0.022094 Loss_G: 0.016268 Loss_D_real: -0.020163 Loss_D_fake 0.001930
[1011/5000][520/535][104276] Loss_D: -0.021643 Loss_G: 0.011887 Loss_D_real: -0.014632 Loss_D_fake 0.007012
[1011/5000][525/535][104277] Loss_D: -0.020217 Loss_G: 0.034241 Loss_D_real: -0.029864 Loss_D_fake -0.009647
[1011/5000][530/535][104278] Loss_D: -0.023194 Loss_G: -0.002679 Loss_D_real: -0.014692 Loss_D_fake 0.008502
[1011/5000][535/535][104279] Loss_D: -0.025060 Loss_G: -0.018499 Loss_D_real: -0.022341 Loss_D_fake 0.002719
[1012/5000][5/535][104280] Loss_D: -0.023367 Loss_G: 0.010628 Loss_D_real: -0.016392 Loss_D_fake 0.006976
[1012/5000][10/535][104281] Loss_D: -0.022821 Loss_G: 0.012562 Loss_D_real: -0.021958 Loss_D_fake 0.000863
[1012/5000][15/535][104282] Loss_D: -0.021208 Loss_G: -0.011082 Loss_D_real: -0.000031 Loss_D_fake 0.021177
[1012/5000][20/535][104283] Loss_D: -0.022581 Loss_G: 0.015395 Loss_D_real: -0.017662 Loss_D_fake 0.004919
[1012/5000][25/535][104284] Loss_D: -0.021050 Loss_G: -0.011025 Loss_D_real: -0.002585 Loss_D_fake 0.018464
[1012/5000][30/535][104285] Loss_D: -0.022253 Loss_G: -0.005196 Loss_D_real: -0.001972 Loss_D_fake 0.020280
[1012/5000][35/535][104286] Loss_D: -0.021531 Loss_G: 0.008953 Loss_D_real: -0.032544 Loss_D_fake -0.011013
[1012/5000][40/535][104287] Loss_D: -0.023573 Loss_G: 0.007668 Loss_D_real: -0.007764 Loss_D_fake 0.015809
[1012/5000][45/535][104288] Loss_D: -0.021954 Loss_G: -0.006861 Loss_D_real: -0.016235 Loss_D_fake 0.005718
[1012/5000][50/535][104289] Loss_D: -0.024393 Loss_G: 0.002852 Loss_D_real: -0.015962 Loss_D_fake 0.008432
[1012/5000][55/535][104290] Loss_D: -0.022441 Loss_G: 0.001951 Loss_D_real: -0.015439 Loss_D_fake 0.007002
[1012/5000][60/535][104291] Loss_D: -0.023626 Loss_G: 0.017562 Loss_D_real: -0.017493 Loss_D_fake 0.006132
[1012/5000][65/535][104292] Loss_D: -0.023653 Loss_G: -0.002911 Loss_D_real: -0.011988 Loss_D_fake 0.011665
[1012/5000][70/535][104293] Loss_D: -0.023158 Loss_G: 0.006658 Loss_D_real: -0.023258 Loss_D_fake -0.000100
[1012/5000][75/535][104294] Loss_D: -0.022921 Loss_G: 0.015207 Loss_D_real: -0.024118 Loss_D_fake -0.001196
[1012/5000][80/535][104295] Loss_D: -0.022260 Loss_G: 0.011908 Loss_D_real: -0.018614 Loss_D_fake 0.003647
[1012/5000][85/535][104296] Loss_D: -0.020079 Loss_G: 0.026718 Loss_D_real: -0.022275 Loss_D_fake -0.002196
[1012/5000][90/535][104297] Loss_D: -0.022252 Loss_G: -0.020961 Loss_D_real: -0.015174 Loss_D_fake 0.007077
[1012/5000][95/535][104298] Loss_D: -0.022662 Loss_G: 0.014741 Loss_D_real: -0.019933 Loss_D_fake 0.002729
[1012/5000][100/535][104299] Loss_D: -0.023321 Loss_G: 0.000569 Loss_D_real: -0.013628 Loss_D_fake 0.009693
[1012/5000][105/535][104300] Loss_D: -0.021825 Loss_G: -0.006686 Loss_D_real: -0.010826 Loss_D_fake 0.010999
[1012/5000][110/535][104301] Loss_D: -0.023910 Loss_G: 0.023181 Loss_D_real: -0.026545 Loss_D_fake -0.002635
[1012/5000][115/535][104302] Loss_D: -0.022937 Loss_G: 0.015513 Loss_D_real: -0.034694 Loss_D_fake -0.011757
[1012/5000][120/535][104303] Loss_D: -0.023957 Loss_G: -0.003486 Loss_D_real: -0.007185 Loss_D_fake 0.016772
[1012/5000][125/535][104304] Loss_D: -0.023924 Loss_G: 0.028436 Loss_D_real: -0.027844 Loss_D_fake -0.003920
[1012/5000][130/535][104305] Loss_D: -0.022662 Loss_G: 0.002564 Loss_D_real: -0.001799 Loss_D_fake 0.020862
[1012/5000][135/535][104306] Loss_D: -0.023534 Loss_G: 0.017750 Loss_D_real: -0.023812 Loss_D_fake -0.000278
[1012/5000][140/535][104307] Loss_D: -0.022712 Loss_G: 0.010862 Loss_D_real: -0.019539 Loss_D_fake 0.003172
[1012/5000][145/535][104308] Loss_D: -0.021903 Loss_G: 0.018555 Loss_D_real: -0.032391 Loss_D_fake -0.010488
[1012/5000][150/535][104309] Loss_D: -0.024641 Loss_G: 0.005146 Loss_D_real: -0.013010 Loss_D_fake 0.011631
[1012/5000][155/535][104310] Loss_D: -0.023457 Loss_G: 0.013288 Loss_D_real: -0.020946 Loss_D_fake 0.002512
[1012/5000][160/535][104311] Loss_D: -0.022803 Loss_G: 0.008783 Loss_D_real: -0.026766 Loss_D_fake -0.003963
[1012/5000][165/535][104312] Loss_D: -0.022784 Loss_G: -0.000172 Loss_D_real: -0.022522 Loss_D_fake 0.000262
[1012/5000][170/535][104313] Loss_D: -0.022900 Loss_G: 0.021969 Loss_D_real: -0.037056 Loss_D_fake -0.014155
[1012/5000][175/535][104314] Loss_D: -0.022558 Loss_G: 0.024819 Loss_D_real: -0.025127 Loss_D_fake -0.002570
[1012/5000][180/535][104315] Loss_D: -0.022801 Loss_G: 0.010819 Loss_D_real: -0.012952 Loss_D_fake 0.009850
[1012/5000][185/535][104316] Loss_D: -0.022664 Loss_G: -0.006046 Loss_D_real: -0.010661 Loss_D_fake 0.012003
[1012/5000][190/535][104317] Loss_D: -0.024113 Loss_G: -0.002500 Loss_D_real: -0.017516 Loss_D_fake 0.006597
[1012/5000][195/535][104318] Loss_D: -0.022894 Loss_G: -0.016249 Loss_D_real: -0.005155 Loss_D_fake 0.017739
[1012/5000][200/535][104319] Loss_D: -0.022935 Loss_G: 0.024007 Loss_D_real: -0.018389 Loss_D_fake 0.004546
[1012/5000][205/535][104320] Loss_D: -0.023615 Loss_G: 0.021324 Loss_D_real: -0.018711 Loss_D_fake 0.004903
[1012/5000][210/535][104321] Loss_D: -0.022475 Loss_G: -0.004844 Loss_D_real: -0.008271 Loss_D_fake 0.014204
[1012/5000][215/535][104322] Loss_D: -0.020017 Loss_G: 0.031647 Loss_D_real: -0.034353 Loss_D_fake -0.014335
[1012/5000][220/535][104323] Loss_D: -0.020705 Loss_G: -0.006808 Loss_D_real: 0.000691 Loss_D_fake 0.021396
[1012/5000][225/535][104324] Loss_D: -0.022346 Loss_G: -0.001914 Loss_D_real: -0.006720 Loss_D_fake 0.015626
[1012/5000][230/535][104325] Loss_D: -0.022880 Loss_G: -0.011091 Loss_D_real: -0.011490 Loss_D_fake 0.011390
[1012/5000][235/535][104326] Loss_D: -0.022559 Loss_G: -0.016298 Loss_D_real: -0.007301 Loss_D_fake 0.015258
[1012/5000][240/535][104327] Loss_D: -0.020917 Loss_G: -0.000336 Loss_D_real: -0.016391 Loss_D_fake 0.004526
[1012/5000][245/535][104328] Loss_D: -0.021676 Loss_G: 0.025396 Loss_D_real: -0.034646 Loss_D_fake -0.012970
[1012/5000][250/535][104329] Loss_D: -0.022221 Loss_G: 0.001190 Loss_D_real: -0.015261 Loss_D_fake 0.006959
[1012/5000][255/535][104330] Loss_D: -0.022508 Loss_G: 0.008079 Loss_D_real: -0.012487 Loss_D_fake 0.010020
[1012/5000][260/535][104331] Loss_D: -0.021817 Loss_G: 0.004401 Loss_D_real: -0.009944 Loss_D_fake 0.011874
[1012/5000][265/535][104332] Loss_D: -0.022608 Loss_G: 0.008047 Loss_D_real: -0.014305 Loss_D_fake 0.008304
[1012/5000][270/535][104333] Loss_D: -0.024130 Loss_G: 0.018953 Loss_D_real: -0.016074 Loss_D_fake 0.008056
[1012/5000][275/535][104334] Loss_D: -0.023904 Loss_G: 0.009705 Loss_D_real: -0.020754 Loss_D_fake 0.003150
[1012/5000][280/535][104335] Loss_D: -0.023983 Loss_G: 0.011703 Loss_D_real: -0.016700 Loss_D_fake 0.007283
[1012/5000][285/535][104336] Loss_D: -0.020993 Loss_G: 0.031526 Loss_D_real: -0.037059 Loss_D_fake -0.016066
[1012/5000][290/535][104337] Loss_D: -0.022401 Loss_G: -0.004374 Loss_D_real: -0.011979 Loss_D_fake 0.010421
[1012/5000][295/535][104338] Loss_D: -0.023357 Loss_G: 0.019241 Loss_D_real: -0.026486 Loss_D_fake -0.003128
[1012/5000][300/535][104339] Loss_D: -0.022668 Loss_G: -0.003619 Loss_D_real: -0.004850 Loss_D_fake 0.017818
[1012/5000][305/535][104340] Loss_D: -0.022801 Loss_G: 0.006591 Loss_D_real: -0.011936 Loss_D_fake 0.010865
[1012/5000][310/535][104341] Loss_D: -0.024087 Loss_G: 0.014709 Loss_D_real: -0.023351 Loss_D_fake 0.000736
[1012/5000][315/535][104342] Loss_D: -0.024043 Loss_G: 0.019339 Loss_D_real: -0.020836 Loss_D_fake 0.003206
[1012/5000][320/535][104343] Loss_D: -0.022857 Loss_G: -0.002412 Loss_D_real: -0.016715 Loss_D_fake 0.006143
[1012/5000][325/535][104344] Loss_D: -0.022502 Loss_G: -0.010945 Loss_D_real: -0.016991 Loss_D_fake 0.005511
[1012/5000][330/535][104345] Loss_D: -0.023039 Loss_G: 0.006464 Loss_D_real: -0.023896 Loss_D_fake -0.000857
[1012/5000][335/535][104346] Loss_D: -0.022827 Loss_G: 0.024483 Loss_D_real: -0.034725 Loss_D_fake -0.011897
[1012/5000][340/535][104347] Loss_D: -0.021431 Loss_G: -0.017265 Loss_D_real: -0.002942 Loss_D_fake 0.018490
[1012/5000][345/535][104348] Loss_D: -0.022159 Loss_G: -0.004199 Loss_D_real: -0.007913 Loss_D_fake 0.014246
[1012/5000][350/535][104349] Loss_D: -0.022788 Loss_G: 0.008337 Loss_D_real: -0.022673 Loss_D_fake 0.000115
[1012/5000][355/535][104350] Loss_D: -0.023296 Loss_G: 0.013985 Loss_D_real: -0.029931 Loss_D_fake -0.006635
[1012/5000][360/535][104351] Loss_D: -0.024320 Loss_G: 0.001543 Loss_D_real: -0.024786 Loss_D_fake -0.000466
[1012/5000][365/535][104352] Loss_D: -0.022998 Loss_G: 0.021867 Loss_D_real: -0.025278 Loss_D_fake -0.002280
[1012/5000][370/535][104353] Loss_D: -0.021205 Loss_G: -0.017990 Loss_D_real: 0.000387 Loss_D_fake 0.021593
[1012/5000][375/535][104354] Loss_D: -0.021754 Loss_G: 0.029598 Loss_D_real: -0.033868 Loss_D_fake -0.012114
[1012/5000][380/535][104355] Loss_D: -0.021805 Loss_G: 0.017189 Loss_D_real: -0.036638 Loss_D_fake -0.014833
[1012/5000][385/535][104356] Loss_D: -0.023046 Loss_G: 0.008857 Loss_D_real: -0.021955 Loss_D_fake 0.001090
[1012/5000][390/535][104357] Loss_D: -0.022678 Loss_G: 0.006652 Loss_D_real: -0.013598 Loss_D_fake 0.009080
[1012/5000][395/535][104358] Loss_D: -0.022743 Loss_G: 0.001331 Loss_D_real: -0.018151 Loss_D_fake 0.004592
[1012/5000][400/535][104359] Loss_D: -0.021399 Loss_G: 0.010497 Loss_D_real: -0.014535 Loss_D_fake 0.006864
[1012/5000][405/535][104360] Loss_D: -0.023051 Loss_G: 0.015024 Loss_D_real: -0.028197 Loss_D_fake -0.005146
[1012/5000][410/535][104361] Loss_D: -0.022380 Loss_G: 0.002006 Loss_D_real: -0.010804 Loss_D_fake 0.011577
[1012/5000][415/535][104362] Loss_D: -0.021735 Loss_G: 0.024394 Loss_D_real: -0.032423 Loss_D_fake -0.010687
[1012/5000][420/535][104363] Loss_D: -0.022548 Loss_G: -0.002980 Loss_D_real: -0.015303 Loss_D_fake 0.007245
[1012/5000][425/535][104364] Loss_D: -0.021607 Loss_G: 0.012455 Loss_D_real: -0.016459 Loss_D_fake 0.005148
[1012/5000][430/535][104365] Loss_D: -0.022317 Loss_G: 0.009946 Loss_D_real: -0.006692 Loss_D_fake 0.015626
[1012/5000][435/535][104366] Loss_D: -0.023410 Loss_G: -0.006333 Loss_D_real: -0.008600 Loss_D_fake 0.014810
[1012/5000][440/535][104367] Loss_D: -0.022235 Loss_G: 0.017342 Loss_D_real: -0.027198 Loss_D_fake -0.004963
[1012/5000][445/535][104368] Loss_D: -0.022529 Loss_G: 0.009321 Loss_D_real: -0.020858 Loss_D_fake 0.001670
[1012/5000][450/535][104369] Loss_D: -0.022374 Loss_G: 0.003059 Loss_D_real: -0.021830 Loss_D_fake 0.000543
[1012/5000][455/535][104370] Loss_D: -0.022016 Loss_G: 0.012617 Loss_D_real: -0.033316 Loss_D_fake -0.011299
[1012/5000][460/535][104371] Loss_D: -0.022789 Loss_G: -0.009820 Loss_D_real: -0.005745 Loss_D_fake 0.017044
[1012/5000][465/535][104372] Loss_D: -0.023638 Loss_G: 0.011781 Loss_D_real: -0.017344 Loss_D_fake 0.006294
[1012/5000][470/535][104373] Loss_D: -0.023182 Loss_G: 0.018807 Loss_D_real: -0.022699 Loss_D_fake 0.000482
[1012/5000][475/535][104374] Loss_D: -0.022151 Loss_G: 0.022524 Loss_D_real: -0.029741 Loss_D_fake -0.007590
[1012/5000][480/535][104375] Loss_D: -0.022082 Loss_G: -0.007526 Loss_D_real: 0.001655 Loss_D_fake 0.023736
[1012/5000][485/535][104376] Loss_D: -0.023183 Loss_G: 0.024527 Loss_D_real: -0.022685 Loss_D_fake 0.000498
[1012/5000][490/535][104377] Loss_D: -0.024309 Loss_G: -0.013099 Loss_D_real: -0.018929 Loss_D_fake 0.005380
[1012/5000][495/535][104378] Loss_D: -0.022479 Loss_G: 0.006632 Loss_D_real: -0.013752 Loss_D_fake 0.008727
[1012/5000][500/535][104379] Loss_D: -0.022907 Loss_G: 0.010997 Loss_D_real: -0.017353 Loss_D_fake 0.005554
[1012/5000][505/535][104380] Loss_D: -0.022496 Loss_G: 0.007346 Loss_D_real: -0.027686 Loss_D_fake -0.005189
[1012/5000][510/535][104381] Loss_D: -0.022851 Loss_G: 0.009456 Loss_D_real: -0.014082 Loss_D_fake 0.008769
[1012/5000][515/535][104382] Loss_D: -0.024511 Loss_G: -0.001336 Loss_D_real: -0.019473 Loss_D_fake 0.005038
[1012/5000][520/535][104383] Loss_D: -0.023903 Loss_G: -0.000351 Loss_D_real: -0.020382 Loss_D_fake 0.003521
[1012/5000][525/535][104384] Loss_D: -0.023111 Loss_G: 0.020461 Loss_D_real: -0.018780 Loss_D_fake 0.004331
[1012/5000][530/535][104385] Loss_D: -0.023938 Loss_G: 0.020676 Loss_D_real: -0.017646 Loss_D_fake 0.006291
[1012/5000][535/535][104386] Loss_D: -0.023761 Loss_G: -0.006549 Loss_D_real: -0.028375 Loss_D_fake -0.004614
[1013/5000][5/535][104387] Loss_D: -0.022697 Loss_G: -0.001635 Loss_D_real: -0.014100 Loss_D_fake 0.008597
[1013/5000][10/535][104388] Loss_D: -0.021670 Loss_G: 0.021341 Loss_D_real: -0.032534 Loss_D_fake -0.010864
[1013/5000][15/535][104389] Loss_D: -0.022486 Loss_G: -0.013003 Loss_D_real: -0.006776 Loss_D_fake 0.015710
[1013/5000][20/535][104390] Loss_D: -0.022135 Loss_G: 0.003283 Loss_D_real: -0.019362 Loss_D_fake 0.002772
[1013/5000][25/535][104391] Loss_D: -0.023491 Loss_G: 0.012585 Loss_D_real: -0.015789 Loss_D_fake 0.007702
[1013/5000][30/535][104392] Loss_D: -0.022455 Loss_G: 0.019083 Loss_D_real: -0.025100 Loss_D_fake -0.002645
[1013/5000][35/535][104393] Loss_D: -0.021240 Loss_G: 0.009535 Loss_D_real: -0.037154 Loss_D_fake -0.015914
[1013/5000][40/535][104394] Loss_D: -0.021992 Loss_G: 0.019365 Loss_D_real: -0.030695 Loss_D_fake -0.008703
[1013/5000][45/535][104395] Loss_D: -0.023794 Loss_G: 0.008458 Loss_D_real: -0.020513 Loss_D_fake 0.003282
[1013/5000][50/535][104396] Loss_D: -0.022462 Loss_G: 0.003769 Loss_D_real: -0.040594 Loss_D_fake -0.018132
[1013/5000][55/535][104397] Loss_D: -0.019551 Loss_G: 0.030456 Loss_D_real: -0.031341 Loss_D_fake -0.011790
[1013/5000][60/535][104398] Loss_D: -0.023097 Loss_G: 0.021312 Loss_D_real: -0.026146 Loss_D_fake -0.003049
[1013/5000][65/535][104399] Loss_D: -0.022208 Loss_G: -0.003508 Loss_D_real: -0.010167 Loss_D_fake 0.012041
[1013/5000][70/535][104400] Loss_D: -0.022202 Loss_G: 0.024759 Loss_D_real: -0.028757 Loss_D_fake -0.006555
[1013/5000][75/535][104401] Loss_D: -0.022009 Loss_G: 0.021632 Loss_D_real: -0.025432 Loss_D_fake -0.003424
[1013/5000][80/535][104402] Loss_D: -0.023331 Loss_G: 0.004602 Loss_D_real: -0.013773 Loss_D_fake 0.009559
[1013/5000][85/535][104403] Loss_D: -0.021993 Loss_G: 0.008637 Loss_D_real: -0.012816 Loss_D_fake 0.009177
[1013/5000][90/535][104404] Loss_D: -0.023841 Loss_G: 0.009173 Loss_D_real: -0.014503 Loss_D_fake 0.009338
[1013/5000][95/535][104405] Loss_D: -0.022319 Loss_G: 0.008952 Loss_D_real: -0.015874 Loss_D_fake 0.006445
[1013/5000][100/535][104406] Loss_D: -0.020802 Loss_G: 0.005226 Loss_D_real: -0.021097 Loss_D_fake -0.000295
[1013/5000][105/535][104407] Loss_D: -0.023626 Loss_G: 0.002664 Loss_D_real: -0.015863 Loss_D_fake 0.007763
[1013/5000][110/535][104408] Loss_D: -0.023495 Loss_G: 0.013365 Loss_D_real: -0.013698 Loss_D_fake 0.009797
[1013/5000][115/535][104409] Loss_D: -0.022010 Loss_G: 0.007111 Loss_D_real: -0.013517 Loss_D_fake 0.008493
[1013/5000][120/535][104410] Loss_D: -0.022146 Loss_G: -0.015550 Loss_D_real: -0.006461 Loss_D_fake 0.015685
[1013/5000][125/535][104411] Loss_D: -0.025260 Loss_G: 0.009342 Loss_D_real: -0.005395 Loss_D_fake 0.019865
[1013/5000][130/535][104412] Loss_D: -0.024815 Loss_G: -0.007167 Loss_D_real: -0.005123 Loss_D_fake 0.019691
[1013/5000][135/535][104413] Loss_D: -0.022423 Loss_G: 0.020114 Loss_D_real: -0.019336 Loss_D_fake 0.003087
[1013/5000][140/535][104414] Loss_D: -0.022619 Loss_G: 0.011837 Loss_D_real: -0.016347 Loss_D_fake 0.006272
[1013/5000][145/535][104415] Loss_D: -0.020897 Loss_G: 0.029289 Loss_D_real: -0.032846 Loss_D_fake -0.011948
[1013/5000][150/535][104416] Loss_D: -0.023616 Loss_G: 0.009614 Loss_D_real: -0.029615 Loss_D_fake -0.005999
[1013/5000][155/535][104417] Loss_D: -0.023222 Loss_G: -0.008030 Loss_D_real: -0.015529 Loss_D_fake 0.007693
[1013/5000][160/535][104418] Loss_D: -0.022745 Loss_G: 0.016868 Loss_D_real: -0.029980 Loss_D_fake -0.007235
[1013/5000][165/535][104419] Loss_D: -0.022347 Loss_G: 0.004724 Loss_D_real: -0.005876 Loss_D_fake 0.016470
[1013/5000][170/535][104420] Loss_D: -0.024299 Loss_G: 0.010213 Loss_D_real: -0.027375 Loss_D_fake -0.003077
[1013/5000][175/535][104421] Loss_D: -0.022434 Loss_G: 0.017104 Loss_D_real: -0.023282 Loss_D_fake -0.000847
[1013/5000][180/535][104422] Loss_D: -0.024532 Loss_G: 0.003318 Loss_D_real: -0.013617 Loss_D_fake 0.010915
[1013/5000][185/535][104423] Loss_D: -0.023278 Loss_G: 0.010150 Loss_D_real: -0.019694 Loss_D_fake 0.003584
[1013/5000][190/535][104424] Loss_D: -0.022244 Loss_G: 0.024437 Loss_D_real: -0.031788 Loss_D_fake -0.009543
[1013/5000][195/535][104425] Loss_D: -0.022304 Loss_G: 0.014050 Loss_D_real: -0.033485 Loss_D_fake -0.011181
[1013/5000][200/535][104426] Loss_D: -0.022090 Loss_G: -0.000400 Loss_D_real: -0.027879 Loss_D_fake -0.005789
[1013/5000][205/535][104427] Loss_D: -0.023303 Loss_G: -0.012348 Loss_D_real: -0.006178 Loss_D_fake 0.017125
[1013/5000][210/535][104428] Loss_D: -0.024149 Loss_G: 0.013925 Loss_D_real: -0.022116 Loss_D_fake 0.002034
[1013/5000][215/535][104429] Loss_D: -0.023245 Loss_G: 0.000209 Loss_D_real: -0.015337 Loss_D_fake 0.007908
[1013/5000][220/535][104430] Loss_D: -0.021431 Loss_G: 0.014486 Loss_D_real: -0.033163 Loss_D_fake -0.011732
[1013/5000][225/535][104431] Loss_D: -0.023636 Loss_G: 0.006480 Loss_D_real: -0.018021 Loss_D_fake 0.005615
[1013/5000][230/535][104432] Loss_D: -0.021410 Loss_G: 0.016242 Loss_D_real: -0.032828 Loss_D_fake -0.011418
[1013/5000][235/535][104433] Loss_D: -0.023667 Loss_G: 0.003795 Loss_D_real: -0.015599 Loss_D_fake 0.008068
[1013/5000][240/535][104434] Loss_D: -0.022652 Loss_G: 0.002095 Loss_D_real: -0.014918 Loss_D_fake 0.007735
[1013/5000][245/535][104435] Loss_D: -0.022625 Loss_G: 0.008002 Loss_D_real: -0.022312 Loss_D_fake 0.000312
[1013/5000][250/535][104436] Loss_D: -0.022927 Loss_G: -0.002999 Loss_D_real: -0.012768 Loss_D_fake 0.010159
[1013/5000][255/535][104437] Loss_D: -0.023047 Loss_G: 0.002889 Loss_D_real: -0.010436 Loss_D_fake 0.012611
[1013/5000][260/535][104438] Loss_D: -0.021787 Loss_G: -0.000160 Loss_D_real: -0.014377 Loss_D_fake 0.007410
[1013/5000][265/535][104439] Loss_D: -0.023028 Loss_G: 0.022714 Loss_D_real: -0.024710 Loss_D_fake -0.001682
[1013/5000][270/535][104440] Loss_D: -0.022300 Loss_G: 0.005984 Loss_D_real: -0.019721 Loss_D_fake 0.002578
[1013/5000][275/535][104441] Loss_D: -0.023454 Loss_G: 0.014346 Loss_D_real: -0.030473 Loss_D_fake -0.007019
[1013/5000][280/535][104442] Loss_D: -0.022872 Loss_G: -0.020860 Loss_D_real: 0.000964 Loss_D_fake 0.023836
[1013/5000][285/535][104443] Loss_D: -0.022624 Loss_G: 0.024933 Loss_D_real: -0.025814 Loss_D_fake -0.003189
[1013/5000][290/535][104444] Loss_D: -0.022185 Loss_G: -0.001477 Loss_D_real: -0.012091 Loss_D_fake 0.010094
[1013/5000][295/535][104445] Loss_D: -0.021702 Loss_G: 0.004582 Loss_D_real: -0.027303 Loss_D_fake -0.005601
[1013/5000][300/535][104446] Loss_D: -0.022739 Loss_G: 0.005597 Loss_D_real: -0.025532 Loss_D_fake -0.002793
[1013/5000][305/535][104447] Loss_D: -0.024302 Loss_G: -0.005722 Loss_D_real: -0.006485 Loss_D_fake 0.017817
[1013/5000][310/535][104448] Loss_D: -0.024408 Loss_G: 0.019208 Loss_D_real: -0.026566 Loss_D_fake -0.002157
[1013/5000][315/535][104449] Loss_D: -0.024059 Loss_G: 0.010128 Loss_D_real: -0.014683 Loss_D_fake 0.009377
[1013/5000][320/535][104450] Loss_D: -0.023145 Loss_G: -0.007563 Loss_D_real: -0.011978 Loss_D_fake 0.011167
[1013/5000][325/535][104451] Loss_D: -0.022421 Loss_G: 0.003293 Loss_D_real: -0.017546 Loss_D_fake 0.004875
[1013/5000][330/535][104452] Loss_D: -0.022889 Loss_G: 0.011286 Loss_D_real: -0.022425 Loss_D_fake 0.000464
[1013/5000][335/535][104453] Loss_D: -0.022339 Loss_G: 0.013714 Loss_D_real: -0.017266 Loss_D_fake 0.005074
[1013/5000][340/535][104454] Loss_D: -0.024215 Loss_G: 0.012862 Loss_D_real: -0.023808 Loss_D_fake 0.000406
[1013/5000][345/535][104455] Loss_D: -0.022003 Loss_G: 0.031503 Loss_D_real: -0.034734 Loss_D_fake -0.012731
[1013/5000][350/535][104456] Loss_D: -0.022115 Loss_G: 0.015768 Loss_D_real: -0.028783 Loss_D_fake -0.006669
[1013/5000][355/535][104457] Loss_D: -0.022997 Loss_G: 0.009415 Loss_D_real: -0.016480 Loss_D_fake 0.006517
[1013/5000][360/535][104458] Loss_D: -0.021129 Loss_G: 0.014461 Loss_D_real: -0.025469 Loss_D_fake -0.004340
[1013/5000][365/535][104459] Loss_D: -0.023246 Loss_G: 0.010817 Loss_D_real: -0.024942 Loss_D_fake -0.001697
[1013/5000][370/535][104460] Loss_D: -0.024055 Loss_G: 0.018337 Loss_D_real: -0.029319 Loss_D_fake -0.005264
[1013/5000][375/535][104461] Loss_D: -0.021575 Loss_G: 0.016414 Loss_D_real: -0.032612 Loss_D_fake -0.011037
[1013/5000][380/535][104462] Loss_D: -0.022888 Loss_G: 0.007615 Loss_D_real: -0.026454 Loss_D_fake -0.003566
[1013/5000][385/535][104463] Loss_D: -0.024311 Loss_G: 0.006676 Loss_D_real: -0.028045 Loss_D_fake -0.003733
[1013/5000][390/535][104464] Loss_D: -0.023762 Loss_G: 0.015679 Loss_D_real: -0.023324 Loss_D_fake 0.000438
[1013/5000][395/535][104465] Loss_D: -0.021858 Loss_G: 0.015889 Loss_D_real: -0.030344 Loss_D_fake -0.008486
[1013/5000][400/535][104466] Loss_D: -0.022390 Loss_G: 0.029666 Loss_D_real: -0.030509 Loss_D_fake -0.008119
[1013/5000][405/535][104467] Loss_D: -0.023094 Loss_G: 0.005948 Loss_D_real: -0.015637 Loss_D_fake 0.007457
[1013/5000][410/535][104468] Loss_D: -0.023954 Loss_G: 0.023999 Loss_D_real: -0.037497 Loss_D_fake -0.013543
[1013/5000][415/535][104469] Loss_D: -0.022593 Loss_G: -0.003989 Loss_D_real: -0.017167 Loss_D_fake 0.005426
[1013/5000][420/535][104470] Loss_D: -0.021553 Loss_G: 0.008532 Loss_D_real: -0.009681 Loss_D_fake 0.011873
[1013/5000][425/535][104471] Loss_D: -0.023692 Loss_G: -0.003997 Loss_D_real: -0.016973 Loss_D_fake 0.006719
[1013/5000][430/535][104472] Loss_D: -0.021947 Loss_G: 0.010372 Loss_D_real: -0.027295 Loss_D_fake -0.005348
[1013/5000][435/535][104473] Loss_D: -0.023228 Loss_G: -0.005643 Loss_D_real: -0.011671 Loss_D_fake 0.011557
[1013/5000][440/535][104474] Loss_D: -0.021262 Loss_G: 0.010576 Loss_D_real: -0.023841 Loss_D_fake -0.002579
[1013/5000][445/535][104475] Loss_D: -0.022693 Loss_G: 0.013985 Loss_D_real: -0.034868 Loss_D_fake -0.012175
[1013/5000][450/535][104476] Loss_D: -0.021271 Loss_G: 0.012607 Loss_D_real: -0.017411 Loss_D_fake 0.003860
[1013/5000][455/535][104477] Loss_D: -0.021159 Loss_G: -0.021986 Loss_D_real: -0.004728 Loss_D_fake 0.016432
[1013/5000][460/535][104478] Loss_D: -0.021824 Loss_G: -0.004069 Loss_D_real: -0.012541 Loss_D_fake 0.009283
[1013/5000][465/535][104479] Loss_D: -0.021298 Loss_G: 0.016266 Loss_D_real: -0.030949 Loss_D_fake -0.009651
[1013/5000][470/535][104480] Loss_D: -0.023488 Loss_G: 0.012669 Loss_D_real: -0.014460 Loss_D_fake 0.009028
[1013/5000][475/535][104481] Loss_D: -0.022216 Loss_G: 0.013013 Loss_D_real: -0.023432 Loss_D_fake -0.001216
[1013/5000][480/535][104482] Loss_D: -0.022955 Loss_G: 0.007929 Loss_D_real: -0.023556 Loss_D_fake -0.000601
[1013/5000][485/535][104483] Loss_D: -0.023371 Loss_G: 0.007664 Loss_D_real: -0.004505 Loss_D_fake 0.018867
[1013/5000][490/535][104484] Loss_D: -0.023780 Loss_G: 0.005000 Loss_D_real: -0.018969 Loss_D_fake 0.004810
[1013/5000][495/535][104485] Loss_D: -0.023423 Loss_G: -0.007252 Loss_D_real: -0.007536 Loss_D_fake 0.015886
[1013/5000][500/535][104486] Loss_D: -0.023011 Loss_G: 0.012339 Loss_D_real: -0.027030 Loss_D_fake -0.004019
[1013/5000][505/535][104487] Loss_D: -0.023828 Loss_G: -0.002700 Loss_D_real: -0.019039 Loss_D_fake 0.004789
[1013/5000][510/535][104488] Loss_D: -0.024114 Loss_G: 0.013856 Loss_D_real: -0.009052 Loss_D_fake 0.015062
[1013/5000][515/535][104489] Loss_D: -0.022472 Loss_G: -0.002489 Loss_D_real: -0.003394 Loss_D_fake 0.019078
[1013/5000][520/535][104490] Loss_D: -0.021195 Loss_G: 0.030533 Loss_D_real: -0.024200 Loss_D_fake -0.003005
[1013/5000][525/535][104491] Loss_D: -0.022518 Loss_G: -0.004674 Loss_D_real: 0.001559 Loss_D_fake 0.024077
[1013/5000][530/535][104492] Loss_D: -0.023409 Loss_G: 0.007332 Loss_D_real: -0.027948 Loss_D_fake -0.004539
[1013/5000][535/535][104493] Loss_D: -0.020372 Loss_G: 0.032961 Loss_D_real: -0.030042 Loss_D_fake -0.009670
[1014/5000][5/535][104494] Loss_D: -0.023665 Loss_G: 0.002262 Loss_D_real: -0.019183 Loss_D_fake 0.004482
[1014/5000][10/535][104495] Loss_D: -0.022502 Loss_G: 0.011354 Loss_D_real: -0.021720 Loss_D_fake 0.000781
[1014/5000][15/535][104496] Loss_D: -0.023087 Loss_G: -0.000902 Loss_D_real: -0.010517 Loss_D_fake 0.012570
[1014/5000][20/535][104497] Loss_D: -0.022279 Loss_G: 0.011248 Loss_D_real: -0.026165 Loss_D_fake -0.003886
[1014/5000][25/535][104498] Loss_D: -0.022690 Loss_G: 0.009816 Loss_D_real: -0.024201 Loss_D_fake -0.001511
[1014/5000][30/535][104499] Loss_D: -0.023621 Loss_G: 0.009719 Loss_D_real: -0.016243 Loss_D_fake 0.007378
[1014/5000][35/535][104500] Loss_D: -0.023266 Loss_G: 0.013558 Loss_D_real: -0.022287 Loss_D_fake 0.000979
[1014/5000][135/535][104501] Loss_D: -0.023998 Loss_G: 0.020136 Loss_D_real: -0.023529 Loss_D_fake 0.000470
[1014/5000][140/535][104502] Loss_D: -0.021119 Loss_G: 0.027925 Loss_D_real: -0.022560 Loss_D_fake -0.001441
[1014/5000][145/535][104503] Loss_D: -0.021415 Loss_G: -0.003081 Loss_D_real: -0.006328 Loss_D_fake 0.015087
[1014/5000][150/535][104504] Loss_D: -0.021500 Loss_G: 0.008692 Loss_D_real: -0.019635 Loss_D_fake 0.001865
[1014/5000][155/535][104505] Loss_D: -0.021300 Loss_G: 0.003530 Loss_D_real: -0.016887 Loss_D_fake 0.004413
[1014/5000][160/535][104506] Loss_D: -0.021558 Loss_G: 0.008633 Loss_D_real: -0.016036 Loss_D_fake 0.005522
[1014/5000][165/535][104507] Loss_D: -0.022503 Loss_G: -0.005319 Loss_D_real: -0.013128 Loss_D_fake 0.009375
[1014/5000][170/535][104508] Loss_D: -0.023122 Loss_G: -0.009684 Loss_D_real: -0.011223 Loss_D_fake 0.011899
[1014/5000][175/535][104509] Loss_D: -0.021521 Loss_G: 0.000271 Loss_D_real: -0.007207 Loss_D_fake 0.014314
[1014/5000][180/535][104510] Loss_D: -0.023397 Loss_G: 0.014229 Loss_D_real: -0.024205 Loss_D_fake -0.000808
[1014/5000][185/535][104511] Loss_D: -0.022486 Loss_G: -0.002972 Loss_D_real: -0.011348 Loss_D_fake 0.011138
[1014/5000][190/535][104512] Loss_D: -0.022671 Loss_G: 0.019767 Loss_D_real: -0.034382 Loss_D_fake -0.011711
[1014/5000][195/535][104513] Loss_D: -0.022990 Loss_G: 0.004360 Loss_D_real: -0.013399 Loss_D_fake 0.009591
[1014/5000][200/535][104514] Loss_D: -0.021197 Loss_G: 0.017620 Loss_D_real: -0.023545 Loss_D_fake -0.002348
[1014/5000][205/535][104515] Loss_D: -0.022954 Loss_G: 0.019259 Loss_D_real: -0.020343 Loss_D_fake 0.002612
[1014/5000][210/535][104516] Loss_D: -0.020847 Loss_G: 0.019929 Loss_D_real: -0.025934 Loss_D_fake -0.005087
[1014/5000][215/535][104517] Loss_D: -0.022698 Loss_G: 0.011717 Loss_D_real: -0.011874 Loss_D_fake 0.010823
[1014/5000][220/535][104518] Loss_D: -0.022462 Loss_G: -0.015656 Loss_D_real: -0.001256 Loss_D_fake 0.021206
[1014/5000][225/535][104519] Loss_D: -0.022587 Loss_G: 0.015059 Loss_D_real: -0.028887 Loss_D_fake -0.006300
[1014/5000][230/535][104520] Loss_D: -0.022095 Loss_G: -0.010486 Loss_D_real: 0.000233 Loss_D_fake 0.022327
[1014/5000][235/535][104521] Loss_D: -0.021168 Loss_G: 0.005104 Loss_D_real: -0.026982 Loss_D_fake -0.005813
[1014/5000][240/535][104522] Loss_D: -0.023600 Loss_G: 0.018368 Loss_D_real: -0.018217 Loss_D_fake 0.005384
[1014/5000][245/535][104523] Loss_D: -0.022662 Loss_G: -0.000674 Loss_D_real: -0.005036 Loss_D_fake 0.017626
[1014/5000][250/535][104524] Loss_D: -0.022248 Loss_G: -0.010588 Loss_D_real: -0.002299 Loss_D_fake 0.019949
[1014/5000][255/535][104525] Loss_D: -0.023776 Loss_G: 0.019222 Loss_D_real: -0.020420 Loss_D_fake 0.003356
[1014/5000][260/535][104526] Loss_D: -0.023163 Loss_G: 0.004513 Loss_D_real: -0.014862 Loss_D_fake 0.008301
[1014/5000][265/535][104527] Loss_D: -0.023618 Loss_G: 0.002945 Loss_D_real: -0.025283 Loss_D_fake -0.001665
[1014/5000][270/535][104528] Loss_D: -0.025588 Loss_G: -0.011228 Loss_D_real: -0.018849 Loss_D_fake 0.006739
[1014/5000][275/535][104529] Loss_D: -0.023394 Loss_G: 0.028146 Loss_D_real: -0.011732 Loss_D_fake 0.011661
[1014/5000][280/535][104530] Loss_D: -0.023821 Loss_G: 0.025394 Loss_D_real: -0.022691 Loss_D_fake 0.001130
[1014/5000][285/535][104531] Loss_D: -0.022418 Loss_G: 0.003571 Loss_D_real: -0.011124 Loss_D_fake 0.011294
[1014/5000][290/535][104532] Loss_D: -0.022947 Loss_G: 0.004409 Loss_D_real: -0.015498 Loss_D_fake 0.007449
[1014/5000][295/535][104533] Loss_D: -0.020819 Loss_G: 0.015177 Loss_D_real: -0.021782 Loss_D_fake -0.000963
[1014/5000][300/535][104534] Loss_D: -0.022426 Loss_G: 0.007608 Loss_D_real: -0.013526 Loss_D_fake 0.008900
[1014/5000][305/535][104535] Loss_D: -0.022978 Loss_G: 0.006038 Loss_D_real: -0.010201 Loss_D_fake 0.012776
[1014/5000][310/535][104536] Loss_D: -0.021741 Loss_G: 0.003725 Loss_D_real: -0.025671 Loss_D_fake -0.003930
[1014/5000][315/535][104537] Loss_D: -0.022972 Loss_G: 0.017213 Loss_D_real: -0.030763 Loss_D_fake -0.007791
[1014/5000][320/535][104538] Loss_D: -0.023397 Loss_G: 0.000387 Loss_D_real: -0.021417 Loss_D_fake 0.001980
[1014/5000][325/535][104539] Loss_D: -0.021915 Loss_G: 0.008013 Loss_D_real: -0.017521 Loss_D_fake 0.004394
[1014/5000][330/535][104540] Loss_D: -0.022920 Loss_G: 0.007165 Loss_D_real: -0.029864 Loss_D_fake -0.006944
[1014/5000][335/535][104541] Loss_D: -0.021803 Loss_G: 0.003207 Loss_D_real: -0.009901 Loss_D_fake 0.011902
[1014/5000][340/535][104542] Loss_D: -0.023071 Loss_G: 0.028248 Loss_D_real: -0.023685 Loss_D_fake -0.000614
[1014/5000][345/535][104543] Loss_D: -0.023834 Loss_G: -0.006976 Loss_D_real: -0.014477 Loss_D_fake 0.009357
[1014/5000][350/535][104544] Loss_D: -0.022708 Loss_G: 0.019906 Loss_D_real: -0.020527 Loss_D_fake 0.002182
[1014/5000][355/535][104545] Loss_D: -0.023873 Loss_G: 0.003595 Loss_D_real: -0.013200 Loss_D_fake 0.010673
[1014/5000][360/535][104546] Loss_D: -0.023412 Loss_G: 0.007243 Loss_D_real: -0.005168 Loss_D_fake 0.018245
[1014/5000][365/535][104547] Loss_D: -0.023481 Loss_G: 0.003414 Loss_D_real: -0.020586 Loss_D_fake 0.002895
[1014/5000][370/535][104548] Loss_D: -0.023011 Loss_G: -0.004180 Loss_D_real: -0.006614 Loss_D_fake 0.016397
[1014/5000][375/535][104549] Loss_D: -0.021918 Loss_G: -0.002239 Loss_D_real: -0.014683 Loss_D_fake 0.007234
[1014/5000][380/535][104550] Loss_D: -0.023329 Loss_G: 0.007905 Loss_D_real: -0.017450 Loss_D_fake 0.005880
[1014/5000][385/535][104551] Loss_D: -0.023281 Loss_G: -0.011494 Loss_D_real: -0.004078 Loss_D_fake 0.019203
[1014/5000][390/535][104552] Loss_D: -0.021902 Loss_G: 0.018194 Loss_D_real: -0.031153 Loss_D_fake -0.009251
[1014/5000][395/535][104553] Loss_D: -0.022300 Loss_G: 0.004750 Loss_D_real: -0.014282 Loss_D_fake 0.008018
[1014/5000][400/535][104554] Loss_D: -0.021833 Loss_G: -0.002860 Loss_D_real: -0.000079 Loss_D_fake 0.021754
[1014/5000][405/535][104555] Loss_D: -0.022071 Loss_G: 0.004048 Loss_D_real: -0.006507 Loss_D_fake 0.015563
[1014/5000][410/535][104556] Loss_D: -0.022856 Loss_G: 0.008505 Loss_D_real: -0.021566 Loss_D_fake 0.001290
[1014/5000][415/535][104557] Loss_D: -0.021397 Loss_G: 0.011635 Loss_D_real: -0.035349 Loss_D_fake -0.013952
[1014/5000][420/535][104558] Loss_D: -0.022495 Loss_G: 0.002300 Loss_D_real: -0.012821 Loss_D_fake 0.009674
[1014/5000][425/535][104559] Loss_D: -0.022268 Loss_G: -0.004106 Loss_D_real: -0.011587 Loss_D_fake 0.010681
[1014/5000][430/535][104560] Loss_D: -0.021904 Loss_G: 0.014101 Loss_D_real: -0.025577 Loss_D_fake -0.003673
[1014/5000][435/535][104561] Loss_D: -0.021612 Loss_G: 0.019395 Loss_D_real: -0.029696 Loss_D_fake -0.008084
[1014/5000][440/535][104562] Loss_D: -0.022931 Loss_G: 0.026629 Loss_D_real: -0.023576 Loss_D_fake -0.000645
[1014/5000][445/535][104563] Loss_D: -0.023726 Loss_G: -0.011982 Loss_D_real: 0.000752 Loss_D_fake 0.024478
[1014/5000][450/535][104564] Loss_D: -0.022444 Loss_G: 0.003569 Loss_D_real: -0.030226 Loss_D_fake -0.007782
[1014/5000][455/535][104565] Loss_D: -0.023890 Loss_G: 0.009876 Loss_D_real: -0.027308 Loss_D_fake -0.003418
[1014/5000][460/535][104566] Loss_D: -0.023359 Loss_G: 0.009597 Loss_D_real: -0.020550 Loss_D_fake 0.002809
[1014/5000][465/535][104567] Loss_D: -0.024019 Loss_G: 0.006802 Loss_D_real: -0.022862 Loss_D_fake 0.001158
[1014/5000][470/535][104568] Loss_D: -0.023903 Loss_G: 0.015928 Loss_D_real: -0.023106 Loss_D_fake 0.000797
[1014/5000][475/535][104569] Loss_D: -0.022045 Loss_G: -0.003513 Loss_D_real: -0.002887 Loss_D_fake 0.019158
[1014/5000][480/535][104570] Loss_D: -0.022253 Loss_G: -0.008413 Loss_D_real: 0.001828 Loss_D_fake 0.024081
[1014/5000][485/535][104571] Loss_D: -0.022518 Loss_G: 0.008386 Loss_D_real: -0.023090 Loss_D_fake -0.000572
[1014/5000][490/535][104572] Loss_D: -0.022809 Loss_G: 0.006521 Loss_D_real: -0.019369 Loss_D_fake 0.003439
[1014/5000][495/535][104573] Loss_D: -0.023543 Loss_G: 0.009727 Loss_D_real: -0.027946 Loss_D_fake -0.004403
[1014/5000][500/535][104574] Loss_D: -0.022580 Loss_G: 0.021437 Loss_D_real: -0.023026 Loss_D_fake -0.000445
[1014/5000][505/535][104575] Loss_D: -0.022682 Loss_G: -0.001201 Loss_D_real: -0.018772 Loss_D_fake 0.003910
[1014/5000][510/535][104576] Loss_D: -0.021728 Loss_G: 0.007358 Loss_D_real: -0.033425 Loss_D_fake -0.011697
[1014/5000][515/535][104577] Loss_D: -0.022923 Loss_G: -0.013572 Loss_D_real: -0.005883 Loss_D_fake 0.017039
[1014/5000][520/535][104578] Loss_D: -0.022187 Loss_G: 0.013969 Loss_D_real: -0.019849 Loss_D_fake 0.002338
[1014/5000][525/535][104579] Loss_D: -0.021991 Loss_G: 0.010358 Loss_D_real: -0.021485 Loss_D_fake 0.000506
[1014/5000][530/535][104580] Loss_D: -0.023265 Loss_G: 0.002426 Loss_D_real: -0.022963 Loss_D_fake 0.000302
[1014/5000][535/535][104581] Loss_D: -0.018259 Loss_G: 0.025167 Loss_D_real: -0.032112 Loss_D_fake -0.013853
[1015/5000][5/535][104582] Loss_D: -0.022669 Loss_G: 0.013275 Loss_D_real: -0.012985 Loss_D_fake 0.009684
[1015/5000][10/535][104583] Loss_D: -0.023071 Loss_G: -0.005080 Loss_D_real: -0.014760 Loss_D_fake 0.008311
[1015/5000][15/535][104584] Loss_D: -0.021902 Loss_G: -0.005283 Loss_D_real: -0.006552 Loss_D_fake 0.015350
[1015/5000][20/535][104585] Loss_D: -0.021943 Loss_G: 0.002161 Loss_D_real: -0.023586 Loss_D_fake -0.001644
[1015/5000][25/535][104586] Loss_D: -0.022541 Loss_G: 0.007408 Loss_D_real: -0.019226 Loss_D_fake 0.003314
[1015/5000][30/535][104587] Loss_D: -0.022890 Loss_G: 0.017029 Loss_D_real: -0.033447 Loss_D_fake -0.010556
[1015/5000][35/535][104588] Loss_D: -0.023021 Loss_G: 0.008188 Loss_D_real: -0.019395 Loss_D_fake 0.003627
[1015/5000][40/535][104589] Loss_D: -0.023138 Loss_G: 0.005870 Loss_D_real: -0.007855 Loss_D_fake 0.015282
[1015/5000][45/535][104590] Loss_D: -0.022860 Loss_G: 0.019959 Loss_D_real: -0.034300 Loss_D_fake -0.011440
[1015/5000][50/535][104591] Loss_D: -0.024141 Loss_G: 0.003286 Loss_D_real: -0.014524 Loss_D_fake 0.009617
[1015/5000][55/535][104592] Loss_D: -0.021826 Loss_G: 0.004181 Loss_D_real: -0.023012 Loss_D_fake -0.001186
[1015/5000][60/535][104593] Loss_D: -0.023222 Loss_G: 0.005155 Loss_D_real: -0.011109 Loss_D_fake 0.012113
[1015/5000][65/535][104594] Loss_D: -0.023943 Loss_G: -0.009461 Loss_D_real: -0.009176 Loss_D_fake 0.014768
[1015/5000][70/535][104595] Loss_D: -0.022629 Loss_G: 0.010814 Loss_D_real: -0.025314 Loss_D_fake -0.002685
[1015/5000][75/535][104596] Loss_D: -0.022238 Loss_G: 0.023607 Loss_D_real: -0.022744 Loss_D_fake -0.000506
[1015/5000][80/535][104597] Loss_D: -0.023633 Loss_G: 0.016027 Loss_D_real: -0.025128 Loss_D_fake -0.001495
[1015/5000][85/535][104598] Loss_D: -0.022462 Loss_G: 0.001332 Loss_D_real: -0.011755 Loss_D_fake 0.010707
[1015/5000][90/535][104599] Loss_D: -0.022671 Loss_G: 0.001221 Loss_D_real: -0.013240 Loss_D_fake 0.009431
[1015/5000][95/535][104600] Loss_D: -0.022069 Loss_G: -0.012640 Loss_D_real: -0.001866 Loss_D_fake 0.020202
[1015/5000][100/535][104601] Loss_D: -0.022058 Loss_G: 0.011062 Loss_D_real: -0.021096 Loss_D_fake 0.000962
[1015/5000][105/535][104602] Loss_D: -0.022868 Loss_G: 0.005795 Loss_D_real: -0.012206 Loss_D_fake 0.010663
[1015/5000][110/535][104603] Loss_D: -0.021282 Loss_G: -0.019741 Loss_D_real: 0.010242 Loss_D_fake 0.031524
[1015/5000][115/535][104604] Loss_D: -0.022179 Loss_G: 0.011814 Loss_D_real: -0.022870 Loss_D_fake -0.000692
[1015/5000][120/535][104605] Loss_D: -0.021302 Loss_G: 0.001412 Loss_D_real: -0.017228 Loss_D_fake 0.004074
[1015/5000][125/535][104606] Loss_D: -0.021870 Loss_G: -0.009147 Loss_D_real: -0.019257 Loss_D_fake 0.002612
[1015/5000][130/535][104607] Loss_D: -0.022838 Loss_G: 0.003641 Loss_D_real: -0.019347 Loss_D_fake 0.003491
[1015/5000][135/535][104608] Loss_D: -0.024102 Loss_G: -0.002371 Loss_D_real: -0.024349 Loss_D_fake -0.000247
[1015/5000][140/535][104609] Loss_D: -0.023266 Loss_G: 0.015884 Loss_D_real: -0.022341 Loss_D_fake 0.000925
[1015/5000][145/535][104610] Loss_D: -0.022647 Loss_G: 0.008907 Loss_D_real: -0.016598 Loss_D_fake 0.006050
[1015/5000][150/535][104611] Loss_D: -0.021591 Loss_G: -0.002025 Loss_D_real: -0.006371 Loss_D_fake 0.015219
[1015/5000][155/535][104612] Loss_D: -0.021380 Loss_G: 0.019099 Loss_D_real: -0.029180 Loss_D_fake -0.007800
[1015/5000][160/535][104613] Loss_D: -0.023147 Loss_G: 0.011854 Loss_D_real: -0.029763 Loss_D_fake -0.006616
[1015/5000][165/535][104614] Loss_D: -0.021467 Loss_G: 0.033916 Loss_D_real: -0.030074 Loss_D_fake -0.008607
[1015/5000][170/535][104615] Loss_D: -0.023869 Loss_G: -0.010720 Loss_D_real: -0.011349 Loss_D_fake 0.012520
[1015/5000][175/535][104616] Loss_D: -0.021032 Loss_G: 0.006113 Loss_D_real: -0.022634 Loss_D_fake -0.001602
[1015/5000][180/535][104617] Loss_D: -0.022165 Loss_G: 0.013914 Loss_D_real: -0.027025 Loss_D_fake -0.004860
[1015/5000][185/535][104618] Loss_D: -0.020629 Loss_G: -0.019046 Loss_D_real: 0.006776 Loss_D_fake 0.027406
[1015/5000][190/535][104619] Loss_D: -0.022085 Loss_G: 0.009160 Loss_D_real: -0.020074 Loss_D_fake 0.002011
[1015/5000][195/535][104620] Loss_D: -0.023437 Loss_G: 0.009947 Loss_D_real: -0.018185 Loss_D_fake 0.005251
[1015/5000][200/535][104621] Loss_D: -0.022125 Loss_G: 0.020852 Loss_D_real: -0.033655 Loss_D_fake -0.011530
[1015/5000][205/535][104622] Loss_D: -0.022672 Loss_G: 0.007132 Loss_D_real: -0.015094 Loss_D_fake 0.007577
[1015/5000][210/535][104623] Loss_D: -0.022471 Loss_G: -0.001021 Loss_D_real: -0.016001 Loss_D_fake 0.006470
[1015/5000][215/535][104624] Loss_D: -0.021956 Loss_G: 0.016176 Loss_D_real: -0.041000 Loss_D_fake -0.019044
[1015/5000][220/535][104625] Loss_D: -0.022683 Loss_G: 0.011822 Loss_D_real: -0.016160 Loss_D_fake 0.006523
[1015/5000][225/535][104626] Loss_D: -0.022369 Loss_G: 0.011090 Loss_D_real: -0.023193 Loss_D_fake -0.000824
[1015/5000][230/535][104627] Loss_D: -0.021347 Loss_G: 0.021390 Loss_D_real: -0.028879 Loss_D_fake -0.007532
[1015/5000][235/535][104628] Loss_D: -0.022240 Loss_G: 0.012311 Loss_D_real: -0.016690 Loss_D_fake 0.005550
[1015/5000][240/535][104629] Loss_D: -0.023114 Loss_G: -0.008601 Loss_D_real: -0.012544 Loss_D_fake 0.010570
[1015/5000][245/535][104630] Loss_D: -0.021682 Loss_G: 0.000152 Loss_D_real: -0.023429 Loss_D_fake -0.001746
[1015/5000][250/535][104631] Loss_D: -0.022047 Loss_G: -0.000282 Loss_D_real: -0.019262 Loss_D_fake 0.002785
[1015/5000][255/535][104632] Loss_D: -0.022376 Loss_G: 0.000356 Loss_D_real: -0.014308 Loss_D_fake 0.008067
[1015/5000][260/535][104633] Loss_D: -0.023517 Loss_G: 0.020521 Loss_D_real: -0.020297 Loss_D_fake 0.003220
[1015/5000][265/535][104634] Loss_D: -0.020296 Loss_G: 0.013241 Loss_D_real: -0.017491 Loss_D_fake 0.002806
[1015/5000][270/535][104635] Loss_D: -0.022530 Loss_G: 0.002329 Loss_D_real: -0.017263 Loss_D_fake 0.005267
[1015/5000][275/535][104636] Loss_D: -0.023883 Loss_G: 0.015672 Loss_D_real: -0.013667 Loss_D_fake 0.010216
[1015/5000][280/535][104637] Loss_D: -0.023164 Loss_G: 0.003854 Loss_D_real: -0.020280 Loss_D_fake 0.002884
[1015/5000][285/535][104638] Loss_D: -0.022991 Loss_G: 0.018106 Loss_D_real: -0.031511 Loss_D_fake -0.008520
[1015/5000][290/535][104639] Loss_D: -0.023975 Loss_G: 0.019130 Loss_D_real: -0.028114 Loss_D_fake -0.004139
[1015/5000][295/535][104640] Loss_D: -0.023239 Loss_G: 0.012106 Loss_D_real: -0.010648 Loss_D_fake 0.012590
[1015/5000][300/535][104641] Loss_D: -0.023617 Loss_G: 0.016604 Loss_D_real: -0.028752 Loss_D_fake -0.005135
[1015/5000][305/535][104642] Loss_D: -0.022653 Loss_G: 0.007150 Loss_D_real: -0.024242 Loss_D_fake -0.001588
[1015/5000][310/535][104643] Loss_D: -0.021518 Loss_G: 0.040675 Loss_D_real: -0.037632 Loss_D_fake -0.016114
[1015/5000][315/535][104644] Loss_D: -0.023150 Loss_G: -0.011627 Loss_D_real: -0.008752 Loss_D_fake 0.014397
[1015/5000][320/535][104645] Loss_D: -0.022483 Loss_G: -0.008750 Loss_D_real: -0.013135 Loss_D_fake 0.009348
[1015/5000][325/535][104646] Loss_D: -0.021221 Loss_G: 0.027333 Loss_D_real: -0.030191 Loss_D_fake -0.008970
[1015/5000][330/535][104647] Loss_D: -0.022252 Loss_G: -0.009838 Loss_D_real: -0.004373 Loss_D_fake 0.017879
[1015/5000][335/535][104648] Loss_D: -0.022312 Loss_G: 0.021207 Loss_D_real: -0.032378 Loss_D_fake -0.010067
[1015/5000][340/535][104649] Loss_D: -0.023085 Loss_G: -0.003465 Loss_D_real: -0.014455 Loss_D_fake 0.008631
[1015/5000][345/535][104650] Loss_D: -0.022487 Loss_G: 0.023733 Loss_D_real: -0.021608 Loss_D_fake 0.000880
[1015/5000][350/535][104651] Loss_D: -0.022979 Loss_G: 0.005762 Loss_D_real: -0.019633 Loss_D_fake 0.003346
[1015/5000][355/535][104652] Loss_D: -0.024680 Loss_G: 0.008215 Loss_D_real: -0.011968 Loss_D_fake 0.012712
[1015/5000][360/535][104653] Loss_D: -0.023366 Loss_G: 0.014788 Loss_D_real: -0.027292 Loss_D_fake -0.003926
[1015/5000][365/535][104654] Loss_D: -0.022720 Loss_G: 0.021528 Loss_D_real: -0.025129 Loss_D_fake -0.002409
[1015/5000][370/535][104655] Loss_D: -0.021240 Loss_G: 0.033347 Loss_D_real: -0.037880 Loss_D_fake -0.016639
[1015/5000][375/535][104656] Loss_D: -0.021857 Loss_G: -0.007069 Loss_D_real: -0.009434 Loss_D_fake 0.012423
[1015/5000][380/535][104657] Loss_D: -0.023257 Loss_G: 0.017167 Loss_D_real: -0.032298 Loss_D_fake -0.009041
[1015/5000][385/535][104658] Loss_D: -0.023466 Loss_G: -0.000829 Loss_D_real: -0.020854 Loss_D_fake 0.002612
[1015/5000][390/535][104659] Loss_D: -0.022664 Loss_G: -0.002683 Loss_D_real: -0.011710 Loss_D_fake 0.010954
[1015/5000][395/535][104660] Loss_D: -0.022038 Loss_G: -0.001149 Loss_D_real: -0.011052 Loss_D_fake 0.010986
[1015/5000][400/535][104661] Loss_D: -0.022714 Loss_G: 0.015866 Loss_D_real: -0.023279 Loss_D_fake -0.000565
[1015/5000][405/535][104662] Loss_D: -0.022914 Loss_G: -0.002566 Loss_D_real: -0.022872 Loss_D_fake 0.000042
[1015/5000][410/535][104663] Loss_D: -0.021911 Loss_G: 0.001841 Loss_D_real: -0.013275 Loss_D_fake 0.008635
[1015/5000][415/535][104664] Loss_D: -0.022358 Loss_G: -0.003913 Loss_D_real: -0.013422 Loss_D_fake 0.008936
[1015/5000][420/535][104665] Loss_D: -0.022697 Loss_G: 0.028086 Loss_D_real: -0.026616 Loss_D_fake -0.003919
[1015/5000][425/535][104666] Loss_D: -0.021765 Loss_G: -0.004716 Loss_D_real: -0.012026 Loss_D_fake 0.009739
[1015/5000][430/535][104667] Loss_D: -0.023922 Loss_G: 0.006139 Loss_D_real: -0.014470 Loss_D_fake 0.009452
[1015/5000][435/535][104668] Loss_D: -0.023898 Loss_G: 0.010507 Loss_D_real: -0.020440 Loss_D_fake 0.003457
[1015/5000][440/535][104669] Loss_D: -0.021432 Loss_G: -0.017789 Loss_D_real: -0.004618 Loss_D_fake 0.016814
[1015/5000][445/535][104670] Loss_D: -0.022421 Loss_G: 0.015388 Loss_D_real: -0.020547 Loss_D_fake 0.001874
[1015/5000][450/535][104671] Loss_D: -0.021427 Loss_G: 0.014778 Loss_D_real: -0.022836 Loss_D_fake -0.001410
[1015/5000][455/535][104672] Loss_D: -0.021729 Loss_G: 0.009106 Loss_D_real: -0.013340 Loss_D_fake 0.008388
[1015/5000][460/535][104673] Loss_D: -0.023234 Loss_G: 0.016670 Loss_D_real: -0.023522 Loss_D_fake -0.000287
[1015/5000][465/535][104674] Loss_D: -0.020759 Loss_G: 0.023850 Loss_D_real: -0.029552 Loss_D_fake -0.008793
[1015/5000][470/535][104675] Loss_D: -0.024228 Loss_G: -0.004607 Loss_D_real: -0.009132 Loss_D_fake 0.015096
[1015/5000][475/535][104676] Loss_D: -0.023509 Loss_G: 0.011092 Loss_D_real: -0.021853 Loss_D_fake 0.001656
[1015/5000][480/535][104677] Loss_D: -0.022340 Loss_G: 0.020421 Loss_D_real: -0.010466 Loss_D_fake 0.011874
[1015/5000][485/535][104678] Loss_D: -0.024332 Loss_G: 0.009824 Loss_D_real: -0.031836 Loss_D_fake -0.007504
[1015/5000][490/535][104679] Loss_D: -0.023249 Loss_G: 0.001386 Loss_D_real: -0.020858 Loss_D_fake 0.002391
[1015/5000][495/535][104680] Loss_D: -0.022381 Loss_G: 0.009174 Loss_D_real: -0.018900 Loss_D_fake 0.003480
[1015/5000][500/535][104681] Loss_D: -0.022683 Loss_G: -0.014262 Loss_D_real: -0.011628 Loss_D_fake 0.011055
[1015/5000][505/535][104682] Loss_D: -0.022474 Loss_G: 0.015003 Loss_D_real: -0.025074 Loss_D_fake -0.002600
[1015/5000][510/535][104683] Loss_D: -0.022693 Loss_G: 0.004909 Loss_D_real: -0.009710 Loss_D_fake 0.012983
[1015/5000][515/535][104684] Loss_D: -0.022556 Loss_G: 0.022017 Loss_D_real: -0.028155 Loss_D_fake -0.005599
[1015/5000][520/535][104685] Loss_D: -0.021547 Loss_G: 0.014250 Loss_D_real: -0.034880 Loss_D_fake -0.013333
[1015/5000][525/535][104686] Loss_D: -0.021474 Loss_G: 0.024828 Loss_D_real: -0.034034 Loss_D_fake -0.012559
[1015/5000][530/535][104687] Loss_D: -0.023769 Loss_G: 0.002885 Loss_D_real: -0.008894 Loss_D_fake 0.014875
[1015/5000][535/535][104688] Loss_D: -0.021198 Loss_G: 0.030495 Loss_D_real: -0.040294 Loss_D_fake -0.019096
[1016/5000][5/535][104689] Loss_D: -0.022755 Loss_G: 0.005915 Loss_D_real: -0.015114 Loss_D_fake 0.007642
[1016/5000][10/535][104690] Loss_D: -0.023576 Loss_G: 0.011957 Loss_D_real: -0.030710 Loss_D_fake -0.007134
[1016/5000][15/535][104691] Loss_D: -0.022861 Loss_G: 0.012995 Loss_D_real: -0.030129 Loss_D_fake -0.007268
[1016/5000][20/535][104692] Loss_D: -0.021536 Loss_G: 0.027465 Loss_D_real: -0.035198 Loss_D_fake -0.013662
[1016/5000][25/535][104693] Loss_D: -0.023098 Loss_G: 0.006959 Loss_D_real: -0.019695 Loss_D_fake 0.003402
[1016/5000][30/535][104694] Loss_D: -0.022463 Loss_G: 0.007298 Loss_D_real: -0.015196 Loss_D_fake 0.007266
[1016/5000][35/535][104695] Loss_D: -0.022560 Loss_G: 0.032047 Loss_D_real: -0.037785 Loss_D_fake -0.015224
[1016/5000][40/535][104696] Loss_D: -0.022226 Loss_G: -0.007127 Loss_D_real: -0.001939 Loss_D_fake 0.020287
[1016/5000][45/535][104697] Loss_D: -0.021611 Loss_G: 0.003039 Loss_D_real: -0.020052 Loss_D_fake 0.001558
[1016/5000][50/535][104698] Loss_D: -0.021763 Loss_G: 0.022330 Loss_D_real: -0.020282 Loss_D_fake 0.001482
[1016/5000][55/535][104699] Loss_D: -0.022904 Loss_G: 0.013967 Loss_D_real: -0.025291 Loss_D_fake -0.002387
[1016/5000][60/535][104700] Loss_D: -0.023666 Loss_G: 0.010216 Loss_D_real: -0.028050 Loss_D_fake -0.004384
[1016/5000][65/535][104701] Loss_D: -0.023623 Loss_G: 0.015620 Loss_D_real: -0.021942 Loss_D_fake 0.001681
[1016/5000][70/535][104702] Loss_D: -0.023691 Loss_G: -0.004036 Loss_D_real: -0.002610 Loss_D_fake 0.021081
[1016/5000][75/535][104703] Loss_D: -0.024186 Loss_G: -0.000542 Loss_D_real: -0.017687 Loss_D_fake 0.006498
[1016/5000][80/535][104704] Loss_D: -0.022956 Loss_G: 0.000224 Loss_D_real: -0.013870 Loss_D_fake 0.009086
[1016/5000][85/535][104705] Loss_D: -0.022542 Loss_G: -0.004133 Loss_D_real: -0.010014 Loss_D_fake 0.012527
[1016/5000][90/535][104706] Loss_D: -0.022020 Loss_G: -0.015045 Loss_D_real: -0.007802 Loss_D_fake 0.014218
[1016/5000][95/535][104707] Loss_D: -0.023929 Loss_G: 0.003318 Loss_D_real: -0.021253 Loss_D_fake 0.002676
[1016/5000][100/535][104708] Loss_D: -0.022650 Loss_G: 0.017191 Loss_D_real: -0.016999 Loss_D_fake 0.005651
[1016/5000][105/535][104709] Loss_D: -0.022738 Loss_G: -0.013756 Loss_D_real: -0.006129 Loss_D_fake 0.016609
[1016/5000][110/535][104710] Loss_D: -0.022629 Loss_G: 0.007834 Loss_D_real: -0.026248 Loss_D_fake -0.003619
[1016/5000][115/535][104711] Loss_D: -0.022288 Loss_G: 0.000222 Loss_D_real: -0.009994 Loss_D_fake 0.012294
[1016/5000][120/535][104712] Loss_D: -0.023818 Loss_G: 0.009156 Loss_D_real: -0.022874 Loss_D_fake 0.000944
[1016/5000][125/535][104713] Loss_D: -0.022378 Loss_G: 0.020307 Loss_D_real: -0.033661 Loss_D_fake -0.011283
[1016/5000][130/535][104714] Loss_D: -0.023321 Loss_G: 0.005304 Loss_D_real: -0.007958 Loss_D_fake 0.015363
[1016/5000][135/535][104715] Loss_D: -0.021088 Loss_G: -0.011536 Loss_D_real: -0.000942 Loss_D_fake 0.020146
[1016/5000][140/535][104716] Loss_D: -0.021601 Loss_G: 0.026359 Loss_D_real: -0.030175 Loss_D_fake -0.008574
[1016/5000][145/535][104717] Loss_D: -0.022017 Loss_G: 0.006752 Loss_D_real: -0.009444 Loss_D_fake 0.012573
[1016/5000][150/535][104718] Loss_D: -0.022283 Loss_G: 0.008288 Loss_D_real: -0.017302 Loss_D_fake 0.004981
[1016/5000][155/535][104719] Loss_D: -0.022257 Loss_G: -0.004615 Loss_D_real: 0.002062 Loss_D_fake 0.024319
[1016/5000][160/535][104720] Loss_D: -0.021567 Loss_G: 0.009667 Loss_D_real: -0.025326 Loss_D_fake -0.003759
[1016/5000][165/535][104721] Loss_D: -0.021761 Loss_G: 0.013647 Loss_D_real: -0.027089 Loss_D_fake -0.005328
[1016/5000][170/535][104722] Loss_D: -0.022378 Loss_G: -0.007381 Loss_D_real: 0.001905 Loss_D_fake 0.024283
[1016/5000][175/535][104723] Loss_D: -0.021394 Loss_G: -0.001369 Loss_D_real: -0.014061 Loss_D_fake 0.007333
[1016/5000][180/535][104724] Loss_D: -0.021525 Loss_G: 0.017634 Loss_D_real: -0.023549 Loss_D_fake -0.002024
[1016/5000][185/535][104725] Loss_D: -0.022901 Loss_G: -0.002411 Loss_D_real: -0.006550 Loss_D_fake 0.016352
[1016/5000][190/535][104726] Loss_D: -0.021170 Loss_G: 0.012742 Loss_D_real: -0.027723 Loss_D_fake -0.006553
[1016/5000][195/535][104727] Loss_D: -0.022907 Loss_G: 0.003116 Loss_D_real: -0.012322 Loss_D_fake 0.010584
[1016/5000][200/535][104728] Loss_D: -0.023850 Loss_G: 0.012933 Loss_D_real: -0.018083 Loss_D_fake 0.005767
[1016/5000][205/535][104729] Loss_D: -0.022693 Loss_G: -0.020530 Loss_D_real: -0.005489 Loss_D_fake 0.017205
[1016/5000][210/535][104730] Loss_D: -0.023087 Loss_G: 0.019236 Loss_D_real: -0.022424 Loss_D_fake 0.000663
[1016/5000][215/535][104731] Loss_D: -0.021614 Loss_G: -0.005842 Loss_D_real: -0.009733 Loss_D_fake 0.011880
[1016/5000][220/535][104732] Loss_D: -0.022259 Loss_G: -0.002602 Loss_D_real: -0.009263 Loss_D_fake 0.012996
[1016/5000][225/535][104733] Loss_D: -0.021898 Loss_G: 0.016706 Loss_D_real: -0.021826 Loss_D_fake 0.000072
[1016/5000][230/535][104734] Loss_D: -0.023740 Loss_G: 0.007839 Loss_D_real: -0.016609 Loss_D_fake 0.007131
[1016/5000][235/535][104735] Loss_D: -0.022270 Loss_G: 0.011141 Loss_D_real: -0.021292 Loss_D_fake 0.000978
[1016/5000][240/535][104736] Loss_D: -0.022727 Loss_G: 0.017741 Loss_D_real: -0.023346 Loss_D_fake -0.000619
[1016/5000][245/535][104737] Loss_D: -0.022633 Loss_G: 0.016476 Loss_D_real: -0.035460 Loss_D_fake -0.012827
[1016/5000][250/535][104738] Loss_D: -0.022870 Loss_G: -0.002473 Loss_D_real: -0.022372 Loss_D_fake 0.000497
[1016/5000][255/535][104739] Loss_D: -0.021643 Loss_G: -0.018465 Loss_D_real: -0.000666 Loss_D_fake 0.020977
[1016/5000][260/535][104740] Loss_D: -0.021938 Loss_G: 0.017881 Loss_D_real: -0.025481 Loss_D_fake -0.003542
[1016/5000][265/535][104741] Loss_D: -0.023569 Loss_G: 0.006162 Loss_D_real: -0.021489 Loss_D_fake 0.002080
[1016/5000][270/535][104742] Loss_D: -0.022704 Loss_G: 0.013178 Loss_D_real: -0.020887 Loss_D_fake 0.001817
[1016/5000][275/535][104743] Loss_D: -0.023358 Loss_G: 0.020329 Loss_D_real: -0.028422 Loss_D_fake -0.005064
[1016/5000][280/535][104744] Loss_D: -0.024409 Loss_G: 0.007547 Loss_D_real: -0.019798 Loss_D_fake 0.004611
[1016/5000][285/535][104745] Loss_D: -0.023558 Loss_G: 0.013375 Loss_D_real: -0.021720 Loss_D_fake 0.001837
[1016/5000][290/535][104746] Loss_D: -0.022757 Loss_G: 0.001362 Loss_D_real: -0.014794 Loss_D_fake 0.007963
[1016/5000][295/535][104747] Loss_D: -0.022094 Loss_G: 0.037022 Loss_D_real: -0.032736 Loss_D_fake -0.010643
[1016/5000][300/535][104748] Loss_D: -0.022543 Loss_G: -0.013943 Loss_D_real: -0.011089 Loss_D_fake 0.011454
[1016/5000][305/535][104749] Loss_D: -0.022078 Loss_G: 0.003255 Loss_D_real: -0.006790 Loss_D_fake 0.015288
[1016/5000][310/535][104750] Loss_D: -0.022339 Loss_G: 0.009296 Loss_D_real: -0.023008 Loss_D_fake -0.000669
[1016/5000][315/535][104751] Loss_D: -0.022958 Loss_G: 0.007467 Loss_D_real: -0.011817 Loss_D_fake 0.011141
[1016/5000][320/535][104752] Loss_D: -0.023236 Loss_G: 0.015488 Loss_D_real: -0.023223 Loss_D_fake 0.000013
[1016/5000][325/535][104753] Loss_D: -0.024440 Loss_G: 0.008848 Loss_D_real: -0.019906 Loss_D_fake 0.004534
[1016/5000][330/535][104754] Loss_D: -0.023635 Loss_G: 0.021402 Loss_D_real: -0.027718 Loss_D_fake -0.004083
[1016/5000][335/535][104755] Loss_D: -0.023748 Loss_G: 0.010193 Loss_D_real: -0.012533 Loss_D_fake 0.011215
[1016/5000][340/535][104756] Loss_D: -0.022930 Loss_G: 0.001677 Loss_D_real: -0.017901 Loss_D_fake 0.005029
[1016/5000][345/535][104757] Loss_D: -0.024250 Loss_G: -0.005068 Loss_D_real: -0.016016 Loss_D_fake 0.008234
[1016/5000][350/535][104758] Loss_D: -0.023773 Loss_G: 0.017416 Loss_D_real: -0.020265 Loss_D_fake 0.003509
[1016/5000][355/535][104759] Loss_D: -0.022050 Loss_G: 0.025403 Loss_D_real: -0.022070 Loss_D_fake -0.000020
[1016/5000][360/535][104760] Loss_D: -0.022577 Loss_G: 0.016302 Loss_D_real: -0.025145 Loss_D_fake -0.002568
[1016/5000][365/535][104761] Loss_D: -0.023655 Loss_G: 0.005284 Loss_D_real: -0.014932 Loss_D_fake 0.008723
[1016/5000][370/535][104762] Loss_D: -0.023671 Loss_G: 0.013183 Loss_D_real: -0.016085 Loss_D_fake 0.007586
[1016/5000][375/535][104763] Loss_D: -0.021852 Loss_G: 0.013845 Loss_D_real: -0.023959 Loss_D_fake -0.002107
[1016/5000][380/535][104764] Loss_D: -0.022243 Loss_G: 0.003487 Loss_D_real: -0.007989 Loss_D_fake 0.014254
[1016/5000][385/535][104765] Loss_D: -0.022320 Loss_G: 0.024662 Loss_D_real: -0.035483 Loss_D_fake -0.013163
[1016/5000][390/535][104766] Loss_D: -0.021587 Loss_G: 0.004717 Loss_D_real: -0.022518 Loss_D_fake -0.000931
[1016/5000][395/535][104767] Loss_D: -0.024290 Loss_G: 0.004682 Loss_D_real: -0.015610 Loss_D_fake 0.008680
[1016/5000][400/535][104768] Loss_D: -0.022203 Loss_G: 0.018528 Loss_D_real: -0.034970 Loss_D_fake -0.012766
[1016/5000][405/535][104769] Loss_D: -0.022984 Loss_G: 0.015103 Loss_D_real: -0.035645 Loss_D_fake -0.012662
[1016/5000][410/535][104770] Loss_D: -0.020508 Loss_G: 0.020665 Loss_D_real: -0.035908 Loss_D_fake -0.015400
[1016/5000][415/535][104771] Loss_D: -0.022147 Loss_G: 0.005395 Loss_D_real: -0.028217 Loss_D_fake -0.006070
[1016/5000][420/535][104772] Loss_D: -0.022809 Loss_G: 0.011122 Loss_D_real: -0.022434 Loss_D_fake 0.000375
[1016/5000][425/535][104773] Loss_D: -0.021060 Loss_G: 0.002994 Loss_D_real: -0.015193 Loss_D_fake 0.005867
[1016/5000][430/535][104774] Loss_D: -0.021685 Loss_G: -0.005129 Loss_D_real: -0.007004 Loss_D_fake 0.014681
[1016/5000][435/535][104775] Loss_D: -0.020869 Loss_G: 0.025194 Loss_D_real: -0.032826 Loss_D_fake -0.011957
[1016/5000][440/535][104776] Loss_D: -0.021834 Loss_G: -0.001605 Loss_D_real: -0.013427 Loss_D_fake 0.008408
[1016/5000][445/535][104777] Loss_D: -0.020824 Loss_G: 0.026530 Loss_D_real: -0.046470 Loss_D_fake -0.025646
[1016/5000][450/535][104778] Loss_D: -0.022497 Loss_G: -0.004644 Loss_D_real: -0.005476 Loss_D_fake 0.017021
[1016/5000][455/535][104779] Loss_D: -0.022415 Loss_G: -0.004815 Loss_D_real: -0.019837 Loss_D_fake 0.002578
[1016/5000][460/535][104780] Loss_D: -0.022205 Loss_G: 0.005463 Loss_D_real: -0.023918 Loss_D_fake -0.001713
[1016/5000][465/535][104781] Loss_D: -0.022742 Loss_G: 0.013346 Loss_D_real: -0.022302 Loss_D_fake 0.000440
[1016/5000][470/535][104782] Loss_D: -0.022432 Loss_G: 0.008065 Loss_D_real: -0.013208 Loss_D_fake 0.009224
[1016/5000][475/535][104783] Loss_D: -0.022467 Loss_G: -0.008298 Loss_D_real: -0.012465 Loss_D_fake 0.010003
[1016/5000][480/535][104784] Loss_D: -0.020481 Loss_G: 0.020090 Loss_D_real: -0.026883 Loss_D_fake -0.006402
[1016/5000][485/535][104785] Loss_D: -0.022883 Loss_G: 0.018491 Loss_D_real: -0.037769 Loss_D_fake -0.014886
[1016/5000][490/535][104786] Loss_D: -0.024055 Loss_G: 0.014111 Loss_D_real: -0.028408 Loss_D_fake -0.004353
[1016/5000][495/535][104787] Loss_D: -0.025078 Loss_G: 0.006482 Loss_D_real: -0.022932 Loss_D_fake 0.002147
[1016/5000][500/535][104788] Loss_D: -0.025514 Loss_G: 0.014672 Loss_D_real: -0.022402 Loss_D_fake 0.003112
[1016/5000][505/535][104789] Loss_D: -0.024026 Loss_G: 0.013308 Loss_D_real: -0.023109 Loss_D_fake 0.000917
[1016/5000][510/535][104790] Loss_D: -0.023526 Loss_G: 0.023072 Loss_D_real: -0.018098 Loss_D_fake 0.005429
[1016/5000][515/535][104791] Loss_D: -0.022420 Loss_G: 0.007688 Loss_D_real: -0.033843 Loss_D_fake -0.011423
[1016/5000][520/535][104792] Loss_D: -0.023988 Loss_G: 0.008878 Loss_D_real: -0.024975 Loss_D_fake -0.000987
[1016/5000][525/535][104793] Loss_D: -0.022819 Loss_G: 0.016658 Loss_D_real: -0.036519 Loss_D_fake -0.013700
[1016/5000][530/535][104794] Loss_D: -0.023356 Loss_G: 0.013678 Loss_D_real: -0.020686 Loss_D_fake 0.002671
[1016/5000][535/535][104795] Loss_D: -0.019704 Loss_G: 0.033999 Loss_D_real: -0.040140 Loss_D_fake -0.020436
[1017/5000][5/535][104796] Loss_D: -0.023435 Loss_G: 0.006979 Loss_D_real: -0.024984 Loss_D_fake -0.001549
[1017/5000][10/535][104797] Loss_D: -0.020738 Loss_G: 0.018887 Loss_D_real: -0.031094 Loss_D_fake -0.010356
[1017/5000][15/535][104798] Loss_D: -0.022146 Loss_G: -0.009028 Loss_D_real: -0.011124 Loss_D_fake 0.011022
[1017/5000][20/535][104799] Loss_D: -0.023150 Loss_G: 0.016295 Loss_D_real: -0.011950 Loss_D_fake 0.011200
[1017/5000][25/535][104800] Loss_D: -0.023279 Loss_G: 0.012643 Loss_D_real: -0.010844 Loss_D_fake 0.012435
[1017/5000][30/535][104801] Loss_D: -0.023859 Loss_G: -0.003459 Loss_D_real: -0.022368 Loss_D_fake 0.001491
[1017/5000][35/535][104802] Loss_D: -0.022059 Loss_G: 0.002826 Loss_D_real: -0.019725 Loss_D_fake 0.002335
[1017/5000][40/535][104803] Loss_D: -0.023425 Loss_G: 0.007295 Loss_D_real: -0.031137 Loss_D_fake -0.007712
[1017/5000][45/535][104804] Loss_D: -0.022070 Loss_G: 0.023669 Loss_D_real: -0.024057 Loss_D_fake -0.001987
[1017/5000][50/535][104805] Loss_D: -0.021763 Loss_G: 0.008978 Loss_D_real: -0.012818 Loss_D_fake 0.008945
[1017/5000][55/535][104806] Loss_D: -0.024161 Loss_G: -0.004569 Loss_D_real: -0.015438 Loss_D_fake 0.008723
[1017/5000][60/535][104807] Loss_D: -0.023822 Loss_G: 0.004518 Loss_D_real: -0.011288 Loss_D_fake 0.012535
[1017/5000][65/535][104808] Loss_D: -0.022867 Loss_G: 0.007423 Loss_D_real: -0.014366 Loss_D_fake 0.008501
[1017/5000][70/535][104809] Loss_D: -0.024028 Loss_G: 0.017127 Loss_D_real: -0.018148 Loss_D_fake 0.005880
[1017/5000][75/535][104810] Loss_D: -0.022402 Loss_G: 0.007648 Loss_D_real: -0.026255 Loss_D_fake -0.003853
[1017/5000][80/535][104811] Loss_D: -0.022534 Loss_G: 0.015532 Loss_D_real: -0.017748 Loss_D_fake 0.004786
[1017/5000][85/535][104812] Loss_D: -0.021257 Loss_G: 0.011683 Loss_D_real: -0.017235 Loss_D_fake 0.004022
[1017/5000][90/535][104813] Loss_D: -0.023458 Loss_G: -0.004669 Loss_D_real: 0.001264 Loss_D_fake 0.024722
[1017/5000][95/535][104814] Loss_D: -0.022509 Loss_G: -0.000838 Loss_D_real: -0.023199 Loss_D_fake -0.000690
[1017/5000][100/535][104815] Loss_D: -0.022176 Loss_G: 0.007630 Loss_D_real: -0.022359 Loss_D_fake -0.000183
[1017/5000][105/535][104816] Loss_D: -0.021428 Loss_G: 0.014643 Loss_D_real: -0.023988 Loss_D_fake -0.002560
[1017/5000][110/535][104817] Loss_D: -0.021919 Loss_G: 0.022799 Loss_D_real: -0.032271 Loss_D_fake -0.010352
[1017/5000][115/535][104818] Loss_D: -0.022785 Loss_G: 0.010501 Loss_D_real: -0.012912 Loss_D_fake 0.009873
[1017/5000][120/535][104819] Loss_D: -0.024612 Loss_G: 0.000386 Loss_D_real: -0.022014 Loss_D_fake 0.002598
[1017/5000][125/535][104820] Loss_D: -0.021599 Loss_G: -0.020175 Loss_D_real: -0.004234 Loss_D_fake 0.017365
[1017/5000][130/535][104821] Loss_D: -0.022329 Loss_G: 0.022156 Loss_D_real: -0.023597 Loss_D_fake -0.001268
[1017/5000][135/535][104822] Loss_D: -0.021582 Loss_G: -0.012108 Loss_D_real: -0.000147 Loss_D_fake 0.021434
[1017/5000][140/535][104823] Loss_D: -0.023711 Loss_G: 0.003619 Loss_D_real: -0.025965 Loss_D_fake -0.002254
[1017/5000][145/535][104824] Loss_D: -0.024397 Loss_G: 0.009166 Loss_D_real: -0.018180 Loss_D_fake 0.006216
[1017/5000][150/535][104825] Loss_D: -0.022130 Loss_G: -0.008262 Loss_D_real: -0.014959 Loss_D_fake 0.007171
[1017/5000][155/535][104826] Loss_D: -0.022707 Loss_G: -0.008752 Loss_D_real: -0.016886 Loss_D_fake 0.005821
[1017/5000][160/535][104827] Loss_D: -0.022121 Loss_G: 0.002078 Loss_D_real: -0.013334 Loss_D_fake 0.008787
[1017/5000][165/535][104828] Loss_D: -0.021386 Loss_G: 0.020783 Loss_D_real: -0.020802 Loss_D_fake 0.000583
[1017/5000][170/535][104829] Loss_D: -0.022312 Loss_G: -0.016622 Loss_D_real: -0.015011 Loss_D_fake 0.007301
[1017/5000][175/535][104830] Loss_D: -0.022422 Loss_G: 0.004916 Loss_D_real: -0.023473 Loss_D_fake -0.001051
[1017/5000][180/535][104831] Loss_D: -0.022169 Loss_G: -0.014264 Loss_D_real: 0.002815 Loss_D_fake 0.024984
[1017/5000][185/535][104832] Loss_D: -0.022730 Loss_G: 0.010152 Loss_D_real: -0.012818 Loss_D_fake 0.009911
[1017/5000][190/535][104833] Loss_D: -0.022645 Loss_G: -0.003678 Loss_D_real: -0.006363 Loss_D_fake 0.016282
[1017/5000][195/535][104834] Loss_D: -0.022046 Loss_G: 0.028333 Loss_D_real: -0.029498 Loss_D_fake -0.007452
[1017/5000][200/535][104835] Loss_D: -0.022381 Loss_G: 0.009850 Loss_D_real: -0.021198 Loss_D_fake 0.001183
[1017/5000][205/535][104836] Loss_D: -0.022359 Loss_G: -0.015327 Loss_D_real: 0.003686 Loss_D_fake 0.026045
[1017/5000][210/535][104837] Loss_D: -0.023579 Loss_G: -0.000657 Loss_D_real: -0.025688 Loss_D_fake -0.002109
[1017/5000][215/535][104838] Loss_D: -0.024248 Loss_G: 0.015194 Loss_D_real: -0.027529 Loss_D_fake -0.003281
[1017/5000][220/535][104839] Loss_D: -0.022711 Loss_G: 0.019930 Loss_D_real: -0.019545 Loss_D_fake 0.003166
[1017/5000][225/535][104840] Loss_D: -0.023344 Loss_G: 0.004134 Loss_D_real: -0.019682 Loss_D_fake 0.003662
[1017/5000][230/535][104841] Loss_D: -0.022623 Loss_G: -0.002248 Loss_D_real: -0.023766 Loss_D_fake -0.001143
[1017/5000][235/535][104842] Loss_D: -0.024063 Loss_G: 0.005028 Loss_D_real: -0.016968 Loss_D_fake 0.007095
[1017/5000][240/535][104843] Loss_D: -0.022775 Loss_G: 0.012099 Loss_D_real: -0.017877 Loss_D_fake 0.004898
[1017/5000][245/535][104844] Loss_D: -0.022585 Loss_G: 0.019999 Loss_D_real: -0.029754 Loss_D_fake -0.007169
[1017/5000][250/535][104845] Loss_D: -0.023452 Loss_G: 0.013447 Loss_D_real: -0.023315 Loss_D_fake 0.000137
[1017/5000][255/535][104846] Loss_D: -0.024860 Loss_G: 0.009348 Loss_D_real: -0.018106 Loss_D_fake 0.006755
[1017/5000][260/535][104847] Loss_D: -0.022121 Loss_G: 0.002873 Loss_D_real: -0.011056 Loss_D_fake 0.011065
[1017/5000][265/535][104848] Loss_D: -0.023560 Loss_G: 0.007455 Loss_D_real: -0.023688 Loss_D_fake -0.000128
[1017/5000][270/535][104849] Loss_D: -0.021907 Loss_G: 0.018058 Loss_D_real: -0.024127 Loss_D_fake -0.002220
[1017/5000][275/535][104850] Loss_D: -0.021730 Loss_G: -0.005367 Loss_D_real: -0.016109 Loss_D_fake 0.005621
[1017/5000][280/535][104851] Loss_D: -0.022147 Loss_G: 0.016207 Loss_D_real: -0.021137 Loss_D_fake 0.001011
[1017/5000][285/535][104852] Loss_D: -0.021536 Loss_G: 0.017061 Loss_D_real: -0.025206 Loss_D_fake -0.003669
[1017/5000][290/535][104853] Loss_D: -0.022189 Loss_G: 0.001133 Loss_D_real: -0.011301 Loss_D_fake 0.010888
[1017/5000][295/535][104854] Loss_D: -0.023352 Loss_G: 0.010561 Loss_D_real: -0.013111 Loss_D_fake 0.010241
[1017/5000][300/535][104855] Loss_D: -0.023114 Loss_G: 0.012056 Loss_D_real: -0.026350 Loss_D_fake -0.003236
[1017/5000][305/535][104856] Loss_D: -0.022871 Loss_G: 0.013738 Loss_D_real: -0.022398 Loss_D_fake 0.000474
[1017/5000][310/535][104857] Loss_D: -0.023604 Loss_G: 0.011324 Loss_D_real: -0.030395 Loss_D_fake -0.006792
[1017/5000][315/535][104858] Loss_D: -0.022883 Loss_G: 0.015083 Loss_D_real: -0.014221 Loss_D_fake 0.008662
[1017/5000][320/535][104859] Loss_D: -0.023060 Loss_G: -0.015434 Loss_D_real: 0.001201 Loss_D_fake 0.024261
[1017/5000][325/535][104860] Loss_D: -0.023131 Loss_G: 0.011650 Loss_D_real: -0.026584 Loss_D_fake -0.003453
[1017/5000][330/535][104861] Loss_D: -0.023411 Loss_G: 0.020893 Loss_D_real: -0.028125 Loss_D_fake -0.004713
[1017/5000][335/535][104862] Loss_D: -0.021067 Loss_G: -0.022009 Loss_D_real: -0.002599 Loss_D_fake 0.018468
[1017/5000][340/535][104863] Loss_D: -0.022359 Loss_G: 0.028691 Loss_D_real: -0.030815 Loss_D_fake -0.008456
[1017/5000][345/535][104864] Loss_D: -0.022751 Loss_G: 0.007629 Loss_D_real: -0.024828 Loss_D_fake -0.002077
[1017/5000][350/535][104865] Loss_D: -0.022294 Loss_G: 0.021697 Loss_D_real: -0.026392 Loss_D_fake -0.004098
[1017/5000][355/535][104866] Loss_D: -0.022490 Loss_G: 0.006432 Loss_D_real: -0.021599 Loss_D_fake 0.000891
[1017/5000][360/535][104867] Loss_D: -0.021651 Loss_G: 0.026405 Loss_D_real: -0.031608 Loss_D_fake -0.009956
[1017/5000][365/535][104868] Loss_D: -0.022288 Loss_G: -0.014060 Loss_D_real: -0.002517 Loss_D_fake 0.019771
[1017/5000][370/535][104869] Loss_D: -0.022143 Loss_G: 0.009100 Loss_D_real: -0.016291 Loss_D_fake 0.005853
[1017/5000][375/535][104870] Loss_D: -0.021355 Loss_G: -0.016440 Loss_D_real: -0.008845 Loss_D_fake 0.012509
[1017/5000][380/535][104871] Loss_D: -0.022809 Loss_G: 0.018180 Loss_D_real: -0.023234 Loss_D_fake -0.000425
[1017/5000][385/535][104872] Loss_D: -0.023459 Loss_G: 0.012005 Loss_D_real: -0.027139 Loss_D_fake -0.003679
[1017/5000][390/535][104873] Loss_D: -0.022472 Loss_G: 0.017172 Loss_D_real: -0.024967 Loss_D_fake -0.002495
[1017/5000][395/535][104874] Loss_D: -0.022473 Loss_G: 0.017883 Loss_D_real: -0.026960 Loss_D_fake -0.004487
[1017/5000][400/535][104875] Loss_D: -0.023520 Loss_G: 0.003077 Loss_D_real: -0.023038 Loss_D_fake 0.000481
[1017/5000][405/535][104876] Loss_D: -0.022271 Loss_G: 0.020171 Loss_D_real: -0.027634 Loss_D_fake -0.005364
[1017/5000][410/535][104877] Loss_D: -0.022609 Loss_G: 0.011065 Loss_D_real: -0.019960 Loss_D_fake 0.002650
[1017/5000][415/535][104878] Loss_D: -0.023180 Loss_G: 0.007615 Loss_D_real: -0.020686 Loss_D_fake 0.002494
[1017/5000][420/535][104879] Loss_D: -0.023470 Loss_G: 0.014412 Loss_D_real: -0.017457 Loss_D_fake 0.006012
[1017/5000][425/535][104880] Loss_D: -0.023195 Loss_G: 0.004510 Loss_D_real: -0.020416 Loss_D_fake 0.002779
[1017/5000][430/535][104881] Loss_D: -0.022908 Loss_G: 0.027130 Loss_D_real: -0.022110 Loss_D_fake 0.000798
[1017/5000][435/535][104882] Loss_D: -0.023400 Loss_G: 0.011244 Loss_D_real: -0.019646 Loss_D_fake 0.003754
[1017/5000][440/535][104883] Loss_D: -0.022774 Loss_G: 0.005526 Loss_D_real: -0.020254 Loss_D_fake 0.002520
[1017/5000][445/535][104884] Loss_D: -0.022609 Loss_G: -0.008134 Loss_D_real: -0.007451 Loss_D_fake 0.015158
[1017/5000][450/535][104885] Loss_D: -0.022241 Loss_G: 0.004440 Loss_D_real: -0.031389 Loss_D_fake -0.009148
[1017/5000][455/535][104886] Loss_D: -0.022868 Loss_G: -0.009849 Loss_D_real: -0.010570 Loss_D_fake 0.012299
[1017/5000][460/535][104887] Loss_D: -0.022281 Loss_G: 0.024470 Loss_D_real: -0.019149 Loss_D_fake 0.003132
[1017/5000][465/535][104888] Loss_D: -0.021929 Loss_G: -0.014915 Loss_D_real: -0.006906 Loss_D_fake 0.015023
[1017/5000][470/535][104889] Loss_D: -0.023383 Loss_G: -0.000793 Loss_D_real: -0.021162 Loss_D_fake 0.002221
[1017/5000][475/535][104890] Loss_D: -0.021405 Loss_G: 0.022847 Loss_D_real: -0.027129 Loss_D_fake -0.005724
[1017/5000][480/535][104891] Loss_D: -0.023304 Loss_G: -0.005554 Loss_D_real: -0.010969 Loss_D_fake 0.012336
[1017/5000][485/535][104892] Loss_D: -0.021935 Loss_G: 0.031905 Loss_D_real: -0.029953 Loss_D_fake -0.008018
[1017/5000][490/535][104893] Loss_D: -0.022646 Loss_G: 0.019161 Loss_D_real: -0.027933 Loss_D_fake -0.005286
[1017/5000][495/535][104894] Loss_D: -0.022003 Loss_G: 0.006158 Loss_D_real: -0.026185 Loss_D_fake -0.004182
[1017/5000][500/535][104895] Loss_D: -0.022909 Loss_G: -0.004003 Loss_D_real: -0.017665 Loss_D_fake 0.005243
[1017/5000][505/535][104896] Loss_D: -0.022820 Loss_G: -0.008017 Loss_D_real: 0.002698 Loss_D_fake 0.025518
[1017/5000][510/535][104897] Loss_D: -0.024337 Loss_G: 0.019641 Loss_D_real: -0.013987 Loss_D_fake 0.010351
[1017/5000][515/535][104898] Loss_D: -0.022981 Loss_G: -0.001300 Loss_D_real: -0.011744 Loss_D_fake 0.011237
[1017/5000][520/535][104899] Loss_D: -0.022709 Loss_G: 0.009470 Loss_D_real: -0.031942 Loss_D_fake -0.009233
[1017/5000][525/535][104900] Loss_D: -0.022194 Loss_G: 0.032243 Loss_D_real: -0.023871 Loss_D_fake -0.001677
[1017/5000][530/535][104901] Loss_D: -0.024181 Loss_G: 0.003464 Loss_D_real: -0.014054 Loss_D_fake 0.010127
[1017/5000][535/535][104902] Loss_D: -0.020222 Loss_G: -0.002060 Loss_D_real: -0.006201 Loss_D_fake 0.014021
[1018/5000][5/535][104903] Loss_D: -0.023564 Loss_G: 0.020200 Loss_D_real: -0.019233 Loss_D_fake 0.004331
[1018/5000][10/535][104904] Loss_D: -0.022383 Loss_G: 0.003808 Loss_D_real: -0.024308 Loss_D_fake -0.001925
[1018/5000][15/535][104905] Loss_D: -0.022803 Loss_G: -0.007284 Loss_D_real: -0.020131 Loss_D_fake 0.002671
[1018/5000][20/535][104906] Loss_D: -0.022715 Loss_G: 0.021303 Loss_D_real: -0.012206 Loss_D_fake 0.010509
[1018/5000][25/535][104907] Loss_D: -0.022054 Loss_G: -0.008084 Loss_D_real: -0.018623 Loss_D_fake 0.003431
[1018/5000][30/535][104908] Loss_D: -0.023106 Loss_G: 0.017683 Loss_D_real: -0.020836 Loss_D_fake 0.002269
[1018/5000][35/535][104909] Loss_D: -0.020521 Loss_G: 0.018380 Loss_D_real: -0.027727 Loss_D_fake -0.007206
[1018/5000][40/535][104910] Loss_D: -0.021805 Loss_G: 0.013294 Loss_D_real: -0.029787 Loss_D_fake -0.007982
[1018/5000][45/535][104911] Loss_D: -0.022322 Loss_G: 0.005011 Loss_D_real: -0.020900 Loss_D_fake 0.001422
[1018/5000][50/535][104912] Loss_D: -0.022557 Loss_G: 0.014713 Loss_D_real: -0.021588 Loss_D_fake 0.000970
[1018/5000][55/535][104913] Loss_D: -0.022312 Loss_G: 0.005120 Loss_D_real: -0.017389 Loss_D_fake 0.004924
[1018/5000][60/535][104914] Loss_D: -0.022829 Loss_G: 0.000954 Loss_D_real: -0.017813 Loss_D_fake 0.005016
[1018/5000][65/535][104915] Loss_D: -0.021155 Loss_G: 0.001299 Loss_D_real: -0.015432 Loss_D_fake 0.005723
[1018/5000][70/535][104916] Loss_D: -0.023029 Loss_G: 0.018909 Loss_D_real: -0.026383 Loss_D_fake -0.003354
[1018/5000][75/535][104917] Loss_D: -0.022568 Loss_G: -0.002238 Loss_D_real: -0.013636 Loss_D_fake 0.008932
[1018/5000][80/535][104918] Loss_D: -0.021572 Loss_G: 0.001745 Loss_D_real: -0.025186 Loss_D_fake -0.003614
[1018/5000][85/535][104919] Loss_D: -0.023785 Loss_G: 0.010311 Loss_D_real: -0.023814 Loss_D_fake -0.000028
[1018/5000][90/535][104920] Loss_D: -0.023296 Loss_G: 0.006859 Loss_D_real: -0.023612 Loss_D_fake -0.000315
[1018/5000][95/535][104921] Loss_D: -0.022900 Loss_G: 0.009362 Loss_D_real: -0.027645 Loss_D_fake -0.004745
[1018/5000][100/535][104922] Loss_D: -0.022658 Loss_G: 0.002487 Loss_D_real: -0.015624 Loss_D_fake 0.007034
[1018/5000][105/535][104923] Loss_D: -0.024016 Loss_G: 0.000572 Loss_D_real: -0.005465 Loss_D_fake 0.018550
[1018/5000][110/535][104924] Loss_D: -0.023401 Loss_G: 0.026299 Loss_D_real: -0.033718 Loss_D_fake -0.010317
[1018/5000][115/535][104925] Loss_D: -0.023889 Loss_G: 0.020519 Loss_D_real: -0.031687 Loss_D_fake -0.007798
[1018/5000][120/535][104926] Loss_D: -0.022779 Loss_G: 0.019294 Loss_D_real: -0.039762 Loss_D_fake -0.016983
[1018/5000][125/535][104927] Loss_D: -0.022433 Loss_G: -0.010661 Loss_D_real: 0.001905 Loss_D_fake 0.024338
[1018/5000][130/535][104928] Loss_D: -0.020790 Loss_G: 0.023193 Loss_D_real: -0.038145 Loss_D_fake -0.017354
[1018/5000][135/535][104929] Loss_D: -0.022329 Loss_G: 0.021165 Loss_D_real: -0.027857 Loss_D_fake -0.005529
[1018/5000][140/535][104930] Loss_D: -0.023458 Loss_G: -0.001249 Loss_D_real: -0.014161 Loss_D_fake 0.009296
[1018/5000][145/535][104931] Loss_D: -0.022025 Loss_G: 0.007935 Loss_D_real: -0.026768 Loss_D_fake -0.004743
[1018/5000][150/535][104932] Loss_D: -0.022892 Loss_G: -0.008489 Loss_D_real: -0.016425 Loss_D_fake 0.006467
[1018/5000][155/535][104933] Loss_D: -0.022446 Loss_G: 0.001298 Loss_D_real: -0.015368 Loss_D_fake 0.007078
[1018/5000][160/535][104934] Loss_D: -0.023858 Loss_G: 0.024085 Loss_D_real: -0.033347 Loss_D_fake -0.009489
[1018/5000][165/535][104935] Loss_D: -0.023042 Loss_G: -0.000788 Loss_D_real: -0.023786 Loss_D_fake -0.000744
[1018/5000][170/535][104936] Loss_D: -0.022429 Loss_G: 0.020043 Loss_D_real: -0.030928 Loss_D_fake -0.008499
[1018/5000][175/535][104937] Loss_D: -0.023870 Loss_G: 0.010392 Loss_D_real: -0.020469 Loss_D_fake 0.003401
[1018/5000][180/535][104938] Loss_D: -0.023687 Loss_G: 0.007668 Loss_D_real: -0.017362 Loss_D_fake 0.006325
[1018/5000][185/535][104939] Loss_D: -0.023400 Loss_G: -0.008528 Loss_D_real: -0.010153 Loss_D_fake 0.013247
[1018/5000][190/535][104940] Loss_D: -0.023617 Loss_G: 0.001319 Loss_D_real: -0.006989 Loss_D_fake 0.016628
[1018/5000][195/535][104941] Loss_D: -0.023647 Loss_G: 0.001598 Loss_D_real: -0.005351 Loss_D_fake 0.018296
[1018/5000][200/535][104942] Loss_D: -0.022240 Loss_G: 0.003302 Loss_D_real: -0.010408 Loss_D_fake 0.011832
[1018/5000][205/535][104943] Loss_D: -0.022621 Loss_G: 0.005093 Loss_D_real: -0.024222 Loss_D_fake -0.001601
[1018/5000][210/535][104944] Loss_D: -0.021546 Loss_G: 0.010553 Loss_D_real: -0.019460 Loss_D_fake 0.002087
[1018/5000][215/535][104945] Loss_D: -0.022381 Loss_G: 0.031728 Loss_D_real: -0.033541 Loss_D_fake -0.011161
[1018/5000][220/535][104946] Loss_D: -0.023656 Loss_G: -0.008234 Loss_D_real: -0.012141 Loss_D_fake 0.011514
[1018/5000][225/535][104947] Loss_D: -0.023205 Loss_G: 0.001212 Loss_D_real: -0.018887 Loss_D_fake 0.004318
[1018/5000][230/535][104948] Loss_D: -0.022619 Loss_G: 0.000144 Loss_D_real: -0.012955 Loss_D_fake 0.009664
[1018/5000][235/535][104949] Loss_D: -0.023414 Loss_G: 0.001816 Loss_D_real: -0.022260 Loss_D_fake 0.001153
[1018/5000][240/535][104950] Loss_D: -0.022326 Loss_G: 0.023913 Loss_D_real: -0.028188 Loss_D_fake -0.005862
[1018/5000][245/535][104951] Loss_D: -0.022678 Loss_G: -0.007322 Loss_D_real: -0.007705 Loss_D_fake 0.014972
[1018/5000][250/535][104952] Loss_D: -0.022632 Loss_G: 0.029614 Loss_D_real: -0.032724 Loss_D_fake -0.010092
[1018/5000][255/535][104953] Loss_D: -0.023058 Loss_G: -0.012090 Loss_D_real: -0.003636 Loss_D_fake 0.019422
[1018/5000][260/535][104954] Loss_D: -0.022521 Loss_G: 0.004509 Loss_D_real: -0.017958 Loss_D_fake 0.004563
[1018/5000][265/535][104955] Loss_D: -0.022064 Loss_G: 0.015951 Loss_D_real: -0.015811 Loss_D_fake 0.006252
[1018/5000][270/535][104956] Loss_D: -0.022686 Loss_G: 0.015864 Loss_D_real: -0.024949 Loss_D_fake -0.002263
[1018/5000][275/535][104957] Loss_D: -0.023252 Loss_G: 0.004016 Loss_D_real: -0.015679 Loss_D_fake 0.007573
[1018/5000][280/535][104958] Loss_D: -0.023008 Loss_G: 0.015674 Loss_D_real: -0.037075 Loss_D_fake -0.014067
[1018/5000][285/535][104959] Loss_D: -0.022410 Loss_G: 0.016239 Loss_D_real: -0.017632 Loss_D_fake 0.004778
[1018/5000][290/535][104960] Loss_D: -0.022933 Loss_G: 0.006991 Loss_D_real: -0.012815 Loss_D_fake 0.010118
[1018/5000][295/535][104961] Loss_D: -0.022262 Loss_G: 0.012883 Loss_D_real: -0.016922 Loss_D_fake 0.005340
[1018/5000][300/535][104962] Loss_D: -0.022617 Loss_G: 0.031973 Loss_D_real: -0.039662 Loss_D_fake -0.017045
[1018/5000][305/535][104963] Loss_D: -0.021516 Loss_G: -0.012201 Loss_D_real: -0.005263 Loss_D_fake 0.016253
[1018/5000][310/535][104964] Loss_D: -0.021831 Loss_G: 0.022702 Loss_D_real: -0.026888 Loss_D_fake -0.005057
[1018/5000][315/535][104965] Loss_D: -0.023107 Loss_G: 0.002699 Loss_D_real: -0.016605 Loss_D_fake 0.006502
[1018/5000][320/535][104966] Loss_D: -0.024047 Loss_G: 0.012246 Loss_D_real: -0.021080 Loss_D_fake 0.002968
[1018/5000][325/535][104967] Loss_D: -0.024101 Loss_G: -0.008506 Loss_D_real: -0.022038 Loss_D_fake 0.002063
[1018/5000][330/535][104968] Loss_D: -0.022658 Loss_G: 0.021940 Loss_D_real: -0.039719 Loss_D_fake -0.017061
[1018/5000][335/535][104969] Loss_D: -0.023277 Loss_G: 0.016911 Loss_D_real: -0.023499 Loss_D_fake -0.000222
[1018/5000][340/535][104970] Loss_D: -0.022393 Loss_G: 0.001231 Loss_D_real: -0.030072 Loss_D_fake -0.007680
[1018/5000][345/535][104971] Loss_D: -0.021496 Loss_G: 0.024518 Loss_D_real: -0.036493 Loss_D_fake -0.014997
[1018/5000][350/535][104972] Loss_D: -0.022634 Loss_G: 0.012750 Loss_D_real: -0.021014 Loss_D_fake 0.001621
[1018/5000][355/535][104973] Loss_D: -0.023668 Loss_G: 0.011872 Loss_D_real: -0.022294 Loss_D_fake 0.001374
[1018/5000][360/535][104974] Loss_D: -0.023074 Loss_G: -0.005075 Loss_D_real: -0.014595 Loss_D_fake 0.008479
[1018/5000][365/535][104975] Loss_D: -0.022931 Loss_G: 0.004445 Loss_D_real: -0.003316 Loss_D_fake 0.019614
[1018/5000][370/535][104976] Loss_D: -0.022552 Loss_G: 0.000571 Loss_D_real: -0.031296 Loss_D_fake -0.008744
[1018/5000][375/535][104977] Loss_D: -0.023157 Loss_G: -0.004522 Loss_D_real: -0.011202 Loss_D_fake 0.011955
[1018/5000][380/535][104978] Loss_D: -0.022375 Loss_G: 0.015656 Loss_D_real: -0.035987 Loss_D_fake -0.013612
[1018/5000][385/535][104979] Loss_D: -0.020684 Loss_G: 0.000030 Loss_D_real: -0.021954 Loss_D_fake -0.001269
[1018/5000][390/535][104980] Loss_D: -0.023471 Loss_G: 0.007625 Loss_D_real: -0.024662 Loss_D_fake -0.001191
[1018/5000][395/535][104981] Loss_D: -0.022165 Loss_G: -0.011653 Loss_D_real: -0.003986 Loss_D_fake 0.018179
[1018/5000][400/535][104982] Loss_D: -0.022511 Loss_G: 0.024922 Loss_D_real: -0.026651 Loss_D_fake -0.004141
[1018/5000][405/535][104983] Loss_D: -0.021108 Loss_G: 0.020274 Loss_D_real: -0.019490 Loss_D_fake 0.001617
[1018/5000][410/535][104984] Loss_D: -0.023340 Loss_G: 0.002770 Loss_D_real: -0.011991 Loss_D_fake 0.011349
[1018/5000][415/535][104985] Loss_D: -0.022926 Loss_G: 0.002431 Loss_D_real: -0.014242 Loss_D_fake 0.008684
[1018/5000][420/535][104986] Loss_D: -0.023020 Loss_G: 0.023947 Loss_D_real: -0.024543 Loss_D_fake -0.001523
[1018/5000][425/535][104987] Loss_D: -0.024446 Loss_G: -0.003781 Loss_D_real: -0.018554 Loss_D_fake 0.005892
[1018/5000][430/535][104988] Loss_D: -0.023233 Loss_G: 0.006486 Loss_D_real: -0.032062 Loss_D_fake -0.008829
[1018/5000][435/535][104989] Loss_D: -0.024195 Loss_G: 0.022842 Loss_D_real: -0.026780 Loss_D_fake -0.002585
[1018/5000][440/535][104990] Loss_D: -0.024123 Loss_G: 0.001202 Loss_D_real: -0.017283 Loss_D_fake 0.006840
[1018/5000][445/535][104991] Loss_D: -0.022488 Loss_G: -0.010712 Loss_D_real: -0.005572 Loss_D_fake 0.016916
[1018/5000][450/535][104992] Loss_D: -0.022171 Loss_G: 0.001321 Loss_D_real: -0.019464 Loss_D_fake 0.002706
[1018/5000][455/535][104993] Loss_D: -0.021183 Loss_G: 0.003866 Loss_D_real: -0.014689 Loss_D_fake 0.006495
[1018/5000][460/535][104994] Loss_D: -0.023030 Loss_G: -0.001691 Loss_D_real: -0.003083 Loss_D_fake 0.019947
[1018/5000][465/535][104995] Loss_D: -0.020809 Loss_G: 0.023828 Loss_D_real: -0.033725 Loss_D_fake -0.012916
[1018/5000][470/535][104996] Loss_D: -0.021432 Loss_G: 0.024225 Loss_D_real: -0.025091 Loss_D_fake -0.003658
[1018/5000][475/535][104997] Loss_D: -0.023299 Loss_G: 0.011549 Loss_D_real: -0.033803 Loss_D_fake -0.010505
[1018/5000][480/535][104998] Loss_D: -0.023179 Loss_G: 0.011327 Loss_D_real: -0.017167 Loss_D_fake 0.006012
[1018/5000][485/535][104999] Loss_D: -0.023286 Loss_G: 0.010934 Loss_D_real: -0.023336 Loss_D_fake -0.000050
[1018/5000][490/535][105000] Loss_D: -0.023545 Loss_G: 0.011477 Loss_D_real: -0.017573 Loss_D_fake 0.005973
[1018/5000][535/535][105001] Loss_D: -0.024382 Loss_G: -0.006779 Loss_D_real: -0.018364 Loss_D_fake 0.006018
[1019/5000][5/535][105002] Loss_D: -0.024167 Loss_G: 0.005826 Loss_D_real: -0.022687 Loss_D_fake 0.001480
[1019/5000][10/535][105003] Loss_D: -0.022246 Loss_G: 0.023088 Loss_D_real: -0.025044 Loss_D_fake -0.002799
[1019/5000][15/535][105004] Loss_D: -0.022052 Loss_G: -0.008796 Loss_D_real: -0.011085 Loss_D_fake 0.010967
[1019/5000][20/535][105005] Loss_D: -0.020445 Loss_G: 0.006126 Loss_D_real: -0.009184 Loss_D_fake 0.011260
[1019/5000][25/535][105006] Loss_D: -0.022404 Loss_G: 0.013183 Loss_D_real: -0.025552 Loss_D_fake -0.003148
[1019/5000][30/535][105007] Loss_D: -0.022962 Loss_G: 0.003457 Loss_D_real: -0.009797 Loss_D_fake 0.013165
[1019/5000][35/535][105008] Loss_D: -0.021693 Loss_G: 0.026686 Loss_D_real: -0.030013 Loss_D_fake -0.008320
[1019/5000][40/535][105009] Loss_D: -0.022774 Loss_G: 0.006071 Loss_D_real: -0.025093 Loss_D_fake -0.002319
[1019/5000][45/535][105010] Loss_D: -0.022905 Loss_G: 0.027306 Loss_D_real: -0.033326 Loss_D_fake -0.010421
[1019/5000][50/535][105011] Loss_D: -0.022549 Loss_G: 0.008889 Loss_D_real: -0.034830 Loss_D_fake -0.012281
[1019/5000][55/535][105012] Loss_D: -0.022915 Loss_G: 0.011115 Loss_D_real: -0.013324 Loss_D_fake 0.009591
[1019/5000][60/535][105013] Loss_D: -0.020964 Loss_G: -0.007384 Loss_D_real: 0.001445 Loss_D_fake 0.022409
[1019/5000][65/535][105014] Loss_D: -0.021111 Loss_G: -0.007836 Loss_D_real: -0.011164 Loss_D_fake 0.009948
[1019/5000][70/535][105015] Loss_D: -0.021847 Loss_G: 0.001352 Loss_D_real: -0.010957 Loss_D_fake 0.010890
[1019/5000][75/535][105016] Loss_D: -0.024193 Loss_G: 0.010337 Loss_D_real: -0.015817 Loss_D_fake 0.008376
[1019/5000][80/535][105017] Loss_D: -0.018564 Loss_G: -0.023098 Loss_D_real: -0.001335 Loss_D_fake 0.017228
[1019/5000][85/535][105018] Loss_D: -0.021366 Loss_G: -0.001785 Loss_D_real: -0.015646 Loss_D_fake 0.005720
[1019/5000][90/535][105019] Loss_D: -0.022626 Loss_G: 0.003353 Loss_D_real: -0.021972 Loss_D_fake 0.000654
[1019/5000][95/535][105020] Loss_D: -0.023002 Loss_G: 0.009627 Loss_D_real: -0.011222 Loss_D_fake 0.011780
[1019/5000][100/535][105021] Loss_D: -0.022791 Loss_G: 0.021601 Loss_D_real: -0.024578 Loss_D_fake -0.001787
[1019/5000][105/535][105022] Loss_D: -0.023174 Loss_G: -0.009434 Loss_D_real: -0.007576 Loss_D_fake 0.015597
[1019/5000][110/535][105023] Loss_D: -0.022400 Loss_G: 0.018716 Loss_D_real: -0.016331 Loss_D_fake 0.006069
[1019/5000][115/535][105024] Loss_D: -0.022975 Loss_G: 0.022807 Loss_D_real: -0.034263 Loss_D_fake -0.011289
[1019/5000][120/535][105025] Loss_D: -0.022488 Loss_G: 0.023642 Loss_D_real: -0.033863 Loss_D_fake -0.011375
[1019/5000][125/535][105026] Loss_D: -0.023339 Loss_G: 0.009199 Loss_D_real: -0.028932 Loss_D_fake -0.005593
[1019/5000][130/535][105027] Loss_D: -0.024780 Loss_G: 0.014763 Loss_D_real: -0.024706 Loss_D_fake 0.000074
[1019/5000][135/535][105028] Loss_D: -0.024111 Loss_G: 0.010470 Loss_D_real: -0.021868 Loss_D_fake 0.002244
[1019/5000][140/535][105029] Loss_D: -0.023139 Loss_G: 0.007955 Loss_D_real: -0.024332 Loss_D_fake -0.001193
[1019/5000][145/535][105030] Loss_D: -0.022386 Loss_G: 0.016634 Loss_D_real: -0.030774 Loss_D_fake -0.008388
[1019/5000][150/535][105031] Loss_D: -0.022663 Loss_G: -0.014244 Loss_D_real: -0.002442 Loss_D_fake 0.020221
[1019/5000][155/535][105032] Loss_D: -0.022663 Loss_G: 0.019381 Loss_D_real: -0.030994 Loss_D_fake -0.008331
[1019/5000][160/535][105033] Loss_D: -0.022943 Loss_G: 0.026468 Loss_D_real: -0.025005 Loss_D_fake -0.002062
[1019/5000][165/535][105034] Loss_D: -0.023271 Loss_G: 0.006630 Loss_D_real: -0.018313 Loss_D_fake 0.004958
[1019/5000][170/535][105035] Loss_D: -0.023117 Loss_G: 0.017950 Loss_D_real: -0.023816 Loss_D_fake -0.000699
[1019/5000][175/535][105036] Loss_D: -0.024765 Loss_G: 0.006716 Loss_D_real: -0.025797 Loss_D_fake -0.001032
[1019/5000][180/535][105037] Loss_D: -0.022480 Loss_G: -0.011480 Loss_D_real: 0.000737 Loss_D_fake 0.023217
[1019/5000][185/535][105038] Loss_D: -0.022358 Loss_G: 0.018917 Loss_D_real: -0.030720 Loss_D_fake -0.008362
[1019/5000][190/535][105039] Loss_D: -0.022073 Loss_G: -0.008230 Loss_D_real: -0.006067 Loss_D_fake 0.016006
[1019/5000][195/535][105040] Loss_D: -0.022485 Loss_G: 0.007682 Loss_D_real: -0.025778 Loss_D_fake -0.003294
[1019/5000][200/535][105041] Loss_D: -0.022201 Loss_G: 0.009695 Loss_D_real: -0.021592 Loss_D_fake 0.000608
[1019/5000][205/535][105042] Loss_D: -0.021754 Loss_G: 0.023689 Loss_D_real: -0.031091 Loss_D_fake -0.009337
[1019/5000][210/535][105043] Loss_D: -0.022988 Loss_G: -0.011498 Loss_D_real: -0.005372 Loss_D_fake 0.017616
[1019/5000][215/535][105044] Loss_D: -0.022021 Loss_G: 0.005249 Loss_D_real: -0.020754 Loss_D_fake 0.001267
[1019/5000][220/535][105045] Loss_D: -0.023027 Loss_G: 0.017814 Loss_D_real: -0.009043 Loss_D_fake 0.013984
[1019/5000][225/535][105046] Loss_D: -0.021674 Loss_G: 0.030906 Loss_D_real: -0.028017 Loss_D_fake -0.006343
[1019/5000][230/535][105047] Loss_D: -0.021547 Loss_G: 0.011232 Loss_D_real: -0.012175 Loss_D_fake 0.009372
[1019/5000][235/535][105048] Loss_D: -0.022318 Loss_G: 0.013070 Loss_D_real: -0.023054 Loss_D_fake -0.000736
[1019/5000][240/535][105049] Loss_D: -0.022870 Loss_G: -0.006813 Loss_D_real: -0.014694 Loss_D_fake 0.008177
[1019/5000][245/535][105050] Loss_D: -0.022417 Loss_G: 0.004829 Loss_D_real: -0.013977 Loss_D_fake 0.008440
[1019/5000][250/535][105051] Loss_D: -0.022764 Loss_G: 0.016060 Loss_D_real: -0.016933 Loss_D_fake 0.005831
[1019/5000][255/535][105052] Loss_D: -0.021748 Loss_G: 0.015418 Loss_D_real: -0.028456 Loss_D_fake -0.006708
[1019/5000][260/535][105053] Loss_D: -0.022959 Loss_G: 0.003642 Loss_D_real: -0.012194 Loss_D_fake 0.010766
[1019/5000][265/535][105054] Loss_D: -0.022173 Loss_G: -0.001191 Loss_D_real: -0.013179 Loss_D_fake 0.008994
[1019/5000][270/535][105055] Loss_D: -0.023429 Loss_G: 0.017493 Loss_D_real: -0.018251 Loss_D_fake 0.005178
[1019/5000][275/535][105056] Loss_D: -0.023998 Loss_G: -0.003232 Loss_D_real: -0.016870 Loss_D_fake 0.007129
[1019/5000][280/535][105057] Loss_D: -0.022355 Loss_G: -0.010353 Loss_D_real: -0.017592 Loss_D_fake 0.004763
[1019/5000][285/535][105058] Loss_D: -0.020985 Loss_G: -0.004851 Loss_D_real: -0.004482 Loss_D_fake 0.016503
[1019/5000][290/535][105059] Loss_D: -0.023524 Loss_G: -0.001141 Loss_D_real: -0.018109 Loss_D_fake 0.005415
[1019/5000][295/535][105060] Loss_D: -0.022234 Loss_G: 0.016703 Loss_D_real: -0.023741 Loss_D_fake -0.001507
[1019/5000][300/535][105061] Loss_D: -0.022503 Loss_G: 0.032416 Loss_D_real: -0.022137 Loss_D_fake 0.000365
[1019/5000][305/535][105062] Loss_D: -0.023368 Loss_G: 0.021412 Loss_D_real: -0.025547 Loss_D_fake -0.002179
[1019/5000][310/535][105063] Loss_D: -0.023004 Loss_G: -0.001712 Loss_D_real: -0.016029 Loss_D_fake 0.006974
[1019/5000][315/535][105064] Loss_D: -0.022236 Loss_G: 0.015470 Loss_D_real: -0.016961 Loss_D_fake 0.005275
[1019/5000][320/535][105065] Loss_D: -0.023230 Loss_G: 0.014550 Loss_D_real: -0.027749 Loss_D_fake -0.004519
[1019/5000][325/535][105066] Loss_D: -0.021054 Loss_G: -0.017976 Loss_D_real: -0.001459 Loss_D_fake 0.019595
[1019/5000][330/535][105067] Loss_D: -0.022321 Loss_G: 0.024818 Loss_D_real: -0.033220 Loss_D_fake -0.010898
[1019/5000][335/535][105068] Loss_D: -0.022199 Loss_G: -0.016476 Loss_D_real: -0.012748 Loss_D_fake 0.009451
[1019/5000][340/535][105069] Loss_D: -0.022044 Loss_G: -0.012746 Loss_D_real: 0.000615 Loss_D_fake 0.022659
[1019/5000][345/535][105070] Loss_D: -0.022396 Loss_G: 0.009848 Loss_D_real: -0.023842 Loss_D_fake -0.001446
[1019/5000][350/535][105071] Loss_D: -0.022527 Loss_G: 0.003665 Loss_D_real: -0.006276 Loss_D_fake 0.016251
[1019/5000][355/535][105072] Loss_D: -0.020306 Loss_G: 0.007726 Loss_D_real: -0.010809 Loss_D_fake 0.009497
[1019/5000][360/535][105073] Loss_D: -0.021583 Loss_G: 0.019819 Loss_D_real: -0.031852 Loss_D_fake -0.010269
[1019/5000][365/535][105074] Loss_D: -0.024132 Loss_G: -0.006694 Loss_D_real: -0.012652 Loss_D_fake 0.011480
[1019/5000][370/535][105075] Loss_D: -0.022098 Loss_G: 0.015213 Loss_D_real: -0.026824 Loss_D_fake -0.004726
[1019/5000][375/535][105076] Loss_D: -0.022837 Loss_G: 0.013464 Loss_D_real: -0.023581 Loss_D_fake -0.000745
[1019/5000][380/535][105077] Loss_D: -0.021671 Loss_G: 0.007469 Loss_D_real: -0.017427 Loss_D_fake 0.004244
[1019/5000][385/535][105078] Loss_D: -0.021176 Loss_G: 0.012988 Loss_D_real: -0.021194 Loss_D_fake -0.000018
[1019/5000][390/535][105079] Loss_D: -0.020955 Loss_G: 0.013868 Loss_D_real: -0.024373 Loss_D_fake -0.003418
[1019/5000][395/535][105080] Loss_D: -0.023147 Loss_G: 0.007905 Loss_D_real: -0.016063 Loss_D_fake 0.007084
[1019/5000][400/535][105081] Loss_D: -0.022590 Loss_G: 0.023965 Loss_D_real: -0.034876 Loss_D_fake -0.012286
[1019/5000][405/535][105082] Loss_D: -0.023135 Loss_G: 0.010493 Loss_D_real: -0.016432 Loss_D_fake 0.006703
[1019/5000][410/535][105083] Loss_D: -0.022829 Loss_G: 0.001857 Loss_D_real: -0.024347 Loss_D_fake -0.001519
[1019/5000][415/535][105084] Loss_D: -0.023379 Loss_G: 0.023254 Loss_D_real: -0.031357 Loss_D_fake -0.007979
[1019/5000][420/535][105085] Loss_D: -0.022689 Loss_G: -0.008385 Loss_D_real: -0.002839 Loss_D_fake 0.019850
[1019/5000][425/535][105086] Loss_D: -0.023669 Loss_G: 0.003146 Loss_D_real: -0.013551 Loss_D_fake 0.010118
[1019/5000][430/535][105087] Loss_D: -0.024228 Loss_G: 0.013904 Loss_D_real: -0.030519 Loss_D_fake -0.006290
[1019/5000][435/535][105088] Loss_D: -0.023856 Loss_G: 0.008058 Loss_D_real: -0.027572 Loss_D_fake -0.003716
[1019/5000][440/535][105089] Loss_D: -0.025087 Loss_G: 0.000182 Loss_D_real: -0.023964 Loss_D_fake 0.001123
[1019/5000][445/535][105090] Loss_D: -0.023600 Loss_G: 0.001479 Loss_D_real: -0.005861 Loss_D_fake 0.017739
[1019/5000][450/535][105091] Loss_D: -0.023436 Loss_G: -0.000545 Loss_D_real: -0.017640 Loss_D_fake 0.005796
[1019/5000][455/535][105092] Loss_D: -0.022544 Loss_G: 0.007911 Loss_D_real: -0.014152 Loss_D_fake 0.008391
[1019/5000][460/535][105093] Loss_D: -0.021746 Loss_G: 0.001418 Loss_D_real: -0.026354 Loss_D_fake -0.004607
[1019/5000][465/535][105094] Loss_D: -0.021414 Loss_G: 0.013114 Loss_D_real: -0.019921 Loss_D_fake 0.001493
[1019/5000][470/535][105095] Loss_D: -0.022050 Loss_G: 0.013963 Loss_D_real: -0.022899 Loss_D_fake -0.000848
[1019/5000][475/535][105096] Loss_D: -0.021190 Loss_G: -0.004879 Loss_D_real: -0.022634 Loss_D_fake -0.001445
[1019/5000][480/535][105097] Loss_D: -0.022709 Loss_G: 0.004038 Loss_D_real: 0.002029 Loss_D_fake 0.024738
[1019/5000][485/535][105098] Loss_D: -0.020829 Loss_G: 0.017755 Loss_D_real: -0.020216 Loss_D_fake 0.000613
[1019/5000][490/535][105099] Loss_D: -0.023797 Loss_G: 0.021120 Loss_D_real: -0.026829 Loss_D_fake -0.003033
[1019/5000][495/535][105100] Loss_D: -0.021595 Loss_G: 0.020326 Loss_D_real: -0.032848 Loss_D_fake -0.011253
[1019/5000][500/535][105101] Loss_D: -0.022503 Loss_G: -0.005713 Loss_D_real: -0.008458 Loss_D_fake 0.014044
[1019/5000][505/535][105102] Loss_D: -0.023103 Loss_G: 0.022597 Loss_D_real: -0.023031 Loss_D_fake 0.000072
[1019/5000][510/535][105103] Loss_D: -0.022216 Loss_G: 0.023960 Loss_D_real: -0.032783 Loss_D_fake -0.010567
[1019/5000][515/535][105104] Loss_D: -0.022552 Loss_G: 0.006547 Loss_D_real: -0.017451 Loss_D_fake 0.005101
[1019/5000][520/535][105105] Loss_D: -0.021767 Loss_G: 0.022912 Loss_D_real: -0.035275 Loss_D_fake -0.013508
[1019/5000][525/535][105106] Loss_D: -0.022463 Loss_G: 0.024910 Loss_D_real: -0.031460 Loss_D_fake -0.008998
[1019/5000][530/535][105107] Loss_D: -0.022489 Loss_G: 0.018832 Loss_D_real: -0.029649 Loss_D_fake -0.007160
[1019/5000][535/535][105108] Loss_D: -0.023482 Loss_G: -0.026025 Loss_D_real: -0.010065 Loss_D_fake 0.013417
[1020/5000][5/535][105109] Loss_D: -0.022652 Loss_G: -0.002404 Loss_D_real: -0.005444 Loss_D_fake 0.017207
[1020/5000][10/535][105110] Loss_D: -0.021259 Loss_G: 0.017924 Loss_D_real: -0.023062 Loss_D_fake -0.001803
[1020/5000][15/535][105111] Loss_D: -0.022382 Loss_G: 0.012331 Loss_D_real: -0.022611 Loss_D_fake -0.000229
[1020/5000][20/535][105112] Loss_D: -0.020843 Loss_G: 0.000876 Loss_D_real: -0.030073 Loss_D_fake -0.009230
[1020/5000][25/535][105113] Loss_D: -0.022049 Loss_G: -0.006236 Loss_D_real: 0.002309 Loss_D_fake 0.024358
[1020/5000][30/535][105114] Loss_D: -0.022538 Loss_G: -0.008414 Loss_D_real: -0.007477 Loss_D_fake 0.015061
[1020/5000][35/535][105115] Loss_D: -0.024905 Loss_G: 0.002162 Loss_D_real: -0.004970 Loss_D_fake 0.019936
[1020/5000][40/535][105116] Loss_D: -0.022573 Loss_G: 0.007628 Loss_D_real: -0.014921 Loss_D_fake 0.007652
[1020/5000][45/535][105117] Loss_D: -0.022599 Loss_G: 0.017421 Loss_D_real: -0.031470 Loss_D_fake -0.008871
[1020/5000][50/535][105118] Loss_D: -0.023139 Loss_G: 0.002442 Loss_D_real: -0.018361 Loss_D_fake 0.004777
[1020/5000][55/535][105119] Loss_D: -0.022449 Loss_G: -0.005360 Loss_D_real: -0.008994 Loss_D_fake 0.013455
[1020/5000][60/535][105120] Loss_D: -0.022944 Loss_G: -0.006869 Loss_D_real: -0.007068 Loss_D_fake 0.015876
[1020/5000][65/535][105121] Loss_D: -0.023916 Loss_G: 0.013167 Loss_D_real: -0.023897 Loss_D_fake 0.000020
[1020/5000][70/535][105122] Loss_D: -0.022777 Loss_G: -0.002149 Loss_D_real: -0.005532 Loss_D_fake 0.017245
[1020/5000][75/535][105123] Loss_D: -0.022448 Loss_G: 0.011929 Loss_D_real: -0.023209 Loss_D_fake -0.000761
[1020/5000][80/535][105124] Loss_D: -0.022609 Loss_G: 0.007422 Loss_D_real: -0.009538 Loss_D_fake 0.013071
[1020/5000][85/535][105125] Loss_D: -0.021481 Loss_G: 0.001299 Loss_D_real: -0.010223 Loss_D_fake 0.011257
[1020/5000][90/535][105126] Loss_D: -0.022616 Loss_G: -0.002727 Loss_D_real: -0.007923 Loss_D_fake 0.014694
[1020/5000][95/535][105127] Loss_D: -0.022080 Loss_G: -0.001218 Loss_D_real: -0.014167 Loss_D_fake 0.007913
[1020/5000][100/535][105128] Loss_D: -0.022835 Loss_G: 0.008758 Loss_D_real: -0.016988 Loss_D_fake 0.005847
[1020/5000][105/535][105129] Loss_D: -0.022832 Loss_G: 0.003992 Loss_D_real: -0.010229 Loss_D_fake 0.012602
[1020/5000][110/535][105130] Loss_D: -0.022205 Loss_G: 0.015951 Loss_D_real: -0.029669 Loss_D_fake -0.007464
[1020/5000][115/535][105131] Loss_D: -0.022554 Loss_G: 0.002007 Loss_D_real: -0.017009 Loss_D_fake 0.005545
[1020/5000][120/535][105132] Loss_D: -0.022168 Loss_G: 0.017500 Loss_D_real: -0.018255 Loss_D_fake 0.003914
[1020/5000][125/535][105133] Loss_D: -0.020287 Loss_G: 0.019939 Loss_D_real: -0.032019 Loss_D_fake -0.011732
[1020/5000][130/535][105134] Loss_D: -0.023474 Loss_G: 0.013877 Loss_D_real: -0.023881 Loss_D_fake -0.000407
[1020/5000][135/535][105135] Loss_D: -0.024754 Loss_G: 0.003723 Loss_D_real: -0.019801 Loss_D_fake 0.004952
[1020/5000][140/535][105136] Loss_D: -0.021672 Loss_G: 0.012559 Loss_D_real: -0.016458 Loss_D_fake 0.005214
[1020/5000][145/535][105137] Loss_D: -0.021430 Loss_G: -0.015142 Loss_D_real: -0.007875 Loss_D_fake 0.013555
[1020/5000][150/535][105138] Loss_D: -0.021007 Loss_G: 0.003714 Loss_D_real: -0.028826 Loss_D_fake -0.007819
[1020/5000][155/535][105139] Loss_D: -0.022036 Loss_G: -0.004202 Loss_D_real: -0.003657 Loss_D_fake 0.018379
[1020/5000][160/535][105140] Loss_D: -0.022356 Loss_G: 0.000984 Loss_D_real: -0.013222 Loss_D_fake 0.009135
[1020/5000][165/535][105141] Loss_D: -0.021820 Loss_G: 0.013620 Loss_D_real: -0.018687 Loss_D_fake 0.003133
[1020/5000][170/535][105142] Loss_D: -0.023529 Loss_G: -0.002066 Loss_D_real: -0.019460 Loss_D_fake 0.004069
[1020/5000][175/535][105143] Loss_D: -0.021034 Loss_G: 0.021751 Loss_D_real: -0.032083 Loss_D_fake -0.011049
[1020/5000][180/535][105144] Loss_D: -0.022699 Loss_G: 0.013844 Loss_D_real: -0.022957 Loss_D_fake -0.000259
[1020/5000][185/535][105145] Loss_D: -0.022593 Loss_G: 0.002494 Loss_D_real: -0.015752 Loss_D_fake 0.006840
[1020/5000][190/535][105146] Loss_D: -0.022049 Loss_G: 0.012743 Loss_D_real: -0.017808 Loss_D_fake 0.004241
[1020/5000][195/535][105147] Loss_D: -0.022004 Loss_G: 0.011973 Loss_D_real: -0.025243 Loss_D_fake -0.003238
[1020/5000][200/535][105148] Loss_D: -0.023305 Loss_G: 0.005274 Loss_D_real: -0.019707 Loss_D_fake 0.003598
[1020/5000][205/535][105149] Loss_D: -0.023376 Loss_G: 0.002583 Loss_D_real: -0.010440 Loss_D_fake 0.012937
[1020/5000][210/535][105150] Loss_D: -0.023372 Loss_G: -0.005920 Loss_D_real: -0.007779 Loss_D_fake 0.015593
[1020/5000][215/535][105151] Loss_D: -0.022532 Loss_G: -0.009024 Loss_D_real: -0.005172 Loss_D_fake 0.017360
[1020/5000][220/535][105152] Loss_D: -0.023513 Loss_G: 0.000174 Loss_D_real: -0.010113 Loss_D_fake 0.013401
[1020/5000][225/535][105153] Loss_D: -0.021959 Loss_G: 0.027301 Loss_D_real: -0.032916 Loss_D_fake -0.010957
[1020/5000][230/535][105154] Loss_D: -0.023253 Loss_G: 0.023172 Loss_D_real: -0.029996 Loss_D_fake -0.006742
[1020/5000][235/535][105155] Loss_D: -0.022703 Loss_G: -0.002383 Loss_D_real: -0.009087 Loss_D_fake 0.013616
[1020/5000][240/535][105156] Loss_D: -0.023265 Loss_G: 0.023793 Loss_D_real: -0.028963 Loss_D_fake -0.005698
[1020/5000][245/535][105157] Loss_D: -0.023416 Loss_G: -0.000551 Loss_D_real: -0.014774 Loss_D_fake 0.008642
[1020/5000][250/535][105158] Loss_D: -0.024381 Loss_G: 0.014302 Loss_D_real: -0.014725 Loss_D_fake 0.009656
[1020/5000][255/535][105159] Loss_D: -0.022051 Loss_G: 0.020657 Loss_D_real: -0.028578 Loss_D_fake -0.006526
[1020/5000][260/535][105160] Loss_D: -0.023857 Loss_G: 0.019542 Loss_D_real: -0.031492 Loss_D_fake -0.007635
[1020/5000][265/535][105161] Loss_D: -0.023603 Loss_G: 0.016927 Loss_D_real: -0.024116 Loss_D_fake -0.000513
[1020/5000][270/535][105162] Loss_D: -0.023500 Loss_G: -0.002735 Loss_D_real: -0.012793 Loss_D_fake 0.010707
[1020/5000][275/535][105163] Loss_D: -0.021600 Loss_G: -0.018933 Loss_D_real: -0.008520 Loss_D_fake 0.013080
[1020/5000][280/535][105164] Loss_D: -0.022239 Loss_G: 0.001429 Loss_D_real: -0.031753 Loss_D_fake -0.009514
[1020/5000][285/535][105165] Loss_D: -0.023549 Loss_G: -0.015308 Loss_D_real: -0.006727 Loss_D_fake 0.016823
[1020/5000][290/535][105166] Loss_D: -0.022067 Loss_G: 0.019218 Loss_D_real: -0.024808 Loss_D_fake -0.002741
[1020/5000][295/535][105167] Loss_D: -0.023492 Loss_G: -0.008292 Loss_D_real: -0.003756 Loss_D_fake 0.019736
[1020/5000][300/535][105168] Loss_D: -0.021526 Loss_G: 0.018140 Loss_D_real: -0.037383 Loss_D_fake -0.015856
[1020/5000][305/535][105169] Loss_D: -0.022994 Loss_G: -0.004028 Loss_D_real: -0.012382 Loss_D_fake 0.010612
[1020/5000][310/535][105170] Loss_D: -0.023339 Loss_G: 0.008946 Loss_D_real: -0.020136 Loss_D_fake 0.003203
[1020/5000][315/535][105171] Loss_D: -0.023089 Loss_G: 0.002933 Loss_D_real: -0.011674 Loss_D_fake 0.011415
[1020/5000][320/535][105172] Loss_D: -0.022487 Loss_G: 0.009238 Loss_D_real: -0.019211 Loss_D_fake 0.003276
[1020/5000][325/535][105173] Loss_D: -0.021996 Loss_G: -0.000304 Loss_D_real: -0.012652 Loss_D_fake 0.009344
[1020/5000][330/535][105174] Loss_D: -0.022131 Loss_G: 0.026782 Loss_D_real: -0.028307 Loss_D_fake -0.006176
[1020/5000][335/535][105175] Loss_D: -0.022071 Loss_G: -0.001695 Loss_D_real: -0.006802 Loss_D_fake 0.015269
[1020/5000][340/535][105176] Loss_D: -0.021458 Loss_G: 0.002745 Loss_D_real: -0.016008 Loss_D_fake 0.005450
[1020/5000][345/535][105177] Loss_D: -0.021162 Loss_G: -0.002552 Loss_D_real: -0.016842 Loss_D_fake 0.004320
[1020/5000][350/535][105178] Loss_D: -0.021890 Loss_G: 0.020523 Loss_D_real: -0.028023 Loss_D_fake -0.006132
[1020/5000][355/535][105179] Loss_D: -0.022871 Loss_G: -0.016817 Loss_D_real: -0.003612 Loss_D_fake 0.019259
[1020/5000][360/535][105180] Loss_D: -0.021704 Loss_G: 0.022114 Loss_D_real: -0.028136 Loss_D_fake -0.006432
[1020/5000][365/535][105181] Loss_D: -0.023038 Loss_G: 0.016740 Loss_D_real: -0.026580 Loss_D_fake -0.003542
[1020/5000][370/535][105182] Loss_D: -0.022046 Loss_G: -0.000690 Loss_D_real: -0.007033 Loss_D_fake 0.015013
[1020/5000][375/535][105183] Loss_D: -0.023502 Loss_G: 0.008995 Loss_D_real: -0.012441 Loss_D_fake 0.011061
[1020/5000][380/535][105184] Loss_D: -0.022057 Loss_G: 0.002484 Loss_D_real: -0.012644 Loss_D_fake 0.009413
[1020/5000][385/535][105185] Loss_D: -0.023334 Loss_G: -0.013506 Loss_D_real: -0.007601 Loss_D_fake 0.015733
[1020/5000][390/535][105186] Loss_D: -0.023059 Loss_G: 0.018565 Loss_D_real: -0.027564 Loss_D_fake -0.004505
[1020/5000][395/535][105187] Loss_D: -0.023409 Loss_G: -0.009548 Loss_D_real: 0.001340 Loss_D_fake 0.024749
[1020/5000][400/535][105188] Loss_D: -0.023984 Loss_G: 0.023280 Loss_D_real: -0.024504 Loss_D_fake -0.000520
[1020/5000][405/535][105189] Loss_D: -0.023477 Loss_G: -0.002527 Loss_D_real: -0.013279 Loss_D_fake 0.010198
[1020/5000][410/535][105190] Loss_D: -0.022375 Loss_G: 0.018431 Loss_D_real: -0.022127 Loss_D_fake 0.000248
[1020/5000][415/535][105191] Loss_D: -0.022306 Loss_G: -0.000004 Loss_D_real: -0.011261 Loss_D_fake 0.011046
[1020/5000][420/535][105192] Loss_D: -0.022522 Loss_G: 0.008152 Loss_D_real: -0.016324 Loss_D_fake 0.006197
[1020/5000][425/535][105193] Loss_D: -0.021931 Loss_G: 0.022044 Loss_D_real: -0.032936 Loss_D_fake -0.011005
[1020/5000][430/535][105194] Loss_D: -0.022167 Loss_G: 0.009742 Loss_D_real: -0.030817 Loss_D_fake -0.008650
[1020/5000][435/535][105195] Loss_D: -0.022723 Loss_G: 0.000172 Loss_D_real: -0.014324 Loss_D_fake 0.008399
[1020/5000][440/535][105196] Loss_D: -0.021891 Loss_G: 0.023829 Loss_D_real: -0.038031 Loss_D_fake -0.016140
[1020/5000][445/535][105197] Loss_D: -0.022614 Loss_G: 0.017364 Loss_D_real: -0.022112 Loss_D_fake 0.000502
[1020/5000][450/535][105198] Loss_D: -0.024218 Loss_G: -0.006359 Loss_D_real: -0.011184 Loss_D_fake 0.013035
[1020/5000][455/535][105199] Loss_D: -0.022849 Loss_G: 0.012620 Loss_D_real: -0.018267 Loss_D_fake 0.004581
[1020/5000][460/535][105200] Loss_D: -0.020272 Loss_G: -0.024197 Loss_D_real: -0.001733 Loss_D_fake 0.018539
[1020/5000][465/535][105201] Loss_D: -0.021729 Loss_G: 0.015709 Loss_D_real: -0.033336 Loss_D_fake -0.011607
[1020/5000][470/535][105202] Loss_D: -0.022680 Loss_G: -0.000103 Loss_D_real: -0.013914 Loss_D_fake 0.008766
[1020/5000][475/535][105203] Loss_D: -0.021677 Loss_G: 0.020394 Loss_D_real: -0.031549 Loss_D_fake -0.009872
[1020/5000][480/535][105204] Loss_D: -0.021611 Loss_G: 0.019718 Loss_D_real: -0.024855 Loss_D_fake -0.003244
[1020/5000][485/535][105205] Loss_D: -0.021612 Loss_G: 0.014847 Loss_D_real: -0.011084 Loss_D_fake 0.010528
[1020/5000][490/535][105206] Loss_D: -0.021054 Loss_G: 0.024571 Loss_D_real: -0.030572 Loss_D_fake -0.009517
[1020/5000][495/535][105207] Loss_D: -0.022013 Loss_G: -0.000947 Loss_D_real: -0.018802 Loss_D_fake 0.003211
[1020/5000][500/535][105208] Loss_D: -0.023357 Loss_G: 0.004392 Loss_D_real: -0.017502 Loss_D_fake 0.005854
[1020/5000][505/535][105209] Loss_D: -0.022147 Loss_G: 0.013739 Loss_D_real: -0.032537 Loss_D_fake -0.010391
[1020/5000][510/535][105210] Loss_D: -0.025494 Loss_G: 0.012471 Loss_D_real: -0.023761 Loss_D_fake 0.001733
[1020/5000][515/535][105211] Loss_D: -0.023250 Loss_G: 0.014737 Loss_D_real: -0.019674 Loss_D_fake 0.003576
[1020/5000][520/535][105212] Loss_D: -0.024255 Loss_G: 0.011358 Loss_D_real: -0.018434 Loss_D_fake 0.005821
[1020/5000][525/535][105213] Loss_D: -0.022933 Loss_G: -0.009209 Loss_D_real: 0.002490 Loss_D_fake 0.025424
[1020/5000][530/535][105214] Loss_D: -0.020532 Loss_G: -0.022912 Loss_D_real: -0.006252 Loss_D_fake 0.014280
[1020/5000][535/535][105215] Loss_D: -0.024074 Loss_G: 0.004811 Loss_D_real: -0.023617 Loss_D_fake 0.000457
[1021/5000][5/535][105216] Loss_D: -0.022432 Loss_G: 0.016181 Loss_D_real: -0.017232 Loss_D_fake 0.005199
[1021/5000][10/535][105217] Loss_D: -0.022879 Loss_G: 0.004059 Loss_D_real: -0.012814 Loss_D_fake 0.010065
[1021/5000][15/535][105218] Loss_D: -0.021195 Loss_G: 0.012349 Loss_D_real: -0.024726 Loss_D_fake -0.003531
[1021/5000][20/535][105219] Loss_D: -0.021754 Loss_G: -0.004374 Loss_D_real: -0.024230 Loss_D_fake -0.002477
[1021/5000][25/535][105220] Loss_D: -0.022298 Loss_G: 0.017678 Loss_D_real: -0.027718 Loss_D_fake -0.005419
[1021/5000][30/535][105221] Loss_D: -0.021991 Loss_G: -0.017069 Loss_D_real: -0.001044 Loss_D_fake 0.020947
[1021/5000][35/535][105222] Loss_D: -0.022341 Loss_G: 0.001454 Loss_D_real: -0.013726 Loss_D_fake 0.008614
[1021/5000][40/535][105223] Loss_D: -0.021318 Loss_G: -0.003843 Loss_D_real: -0.015773 Loss_D_fake 0.005545
[1021/5000][45/535][105224] Loss_D: -0.023016 Loss_G: 0.012824 Loss_D_real: -0.015520 Loss_D_fake 0.007496
[1021/5000][50/535][105225] Loss_D: -0.021381 Loss_G: 0.017349 Loss_D_real: -0.019000 Loss_D_fake 0.002381
[1021/5000][55/535][105226] Loss_D: -0.022325 Loss_G: -0.004776 Loss_D_real: -0.009208 Loss_D_fake 0.013117
[1021/5000][60/535][105227] Loss_D: -0.021385 Loss_G: 0.021720 Loss_D_real: -0.031299 Loss_D_fake -0.009914
[1021/5000][65/535][105228] Loss_D: -0.023147 Loss_G: -0.008539 Loss_D_real: -0.013228 Loss_D_fake 0.009919
[1021/5000][70/535][105229] Loss_D: -0.021604 Loss_G: 0.014021 Loss_D_real: -0.013316 Loss_D_fake 0.008288
[1021/5000][75/535][105230] Loss_D: -0.023016 Loss_G: 0.010549 Loss_D_real: -0.030103 Loss_D_fake -0.007087
[1021/5000][80/535][105231] Loss_D: -0.024415 Loss_G: 0.015316 Loss_D_real: -0.012138 Loss_D_fake 0.012277
[1021/5000][85/535][105232] Loss_D: -0.022569 Loss_G: 0.016217 Loss_D_real: -0.029852 Loss_D_fake -0.007283
[1021/5000][90/535][105233] Loss_D: -0.024044 Loss_G: 0.021592 Loss_D_real: -0.027742 Loss_D_fake -0.003699
[1021/5000][95/535][105234] Loss_D: -0.023490 Loss_G: 0.006947 Loss_D_real: -0.025173 Loss_D_fake -0.001684
[1021/5000][100/535][105235] Loss_D: -0.024032 Loss_G: 0.008605 Loss_D_real: -0.016763 Loss_D_fake 0.007269
[1021/5000][105/535][105236] Loss_D: -0.023248 Loss_G: 0.024909 Loss_D_real: -0.029089 Loss_D_fake -0.005841
[1021/5000][110/535][105237] Loss_D: -0.023050 Loss_G: 0.002636 Loss_D_real: -0.014728 Loss_D_fake 0.008321
[1021/5000][115/535][105238] Loss_D: -0.022906 Loss_G: 0.008590 Loss_D_real: -0.022770 Loss_D_fake 0.000136
[1021/5000][120/535][105239] Loss_D: -0.024196 Loss_G: 0.004151 Loss_D_real: -0.019354 Loss_D_fake 0.004842
[1021/5000][125/535][105240] Loss_D: -0.023287 Loss_G: 0.020397 Loss_D_real: -0.040460 Loss_D_fake -0.017172
[1021/5000][130/535][105241] Loss_D: -0.022849 Loss_G: -0.005028 Loss_D_real: -0.018775 Loss_D_fake 0.004075
[1021/5000][135/535][105242] Loss_D: -0.023398 Loss_G: 0.009054 Loss_D_real: -0.028844 Loss_D_fake -0.005447
[1021/5000][140/535][105243] Loss_D: -0.022624 Loss_G: -0.004435 Loss_D_real: -0.018581 Loss_D_fake 0.004043
[1021/5000][145/535][105244] Loss_D: -0.023219 Loss_G: 0.001370 Loss_D_real: -0.008109 Loss_D_fake 0.015110
[1021/5000][150/535][105245] Loss_D: -0.022379 Loss_G: -0.012401 Loss_D_real: 0.001642 Loss_D_fake 0.024021
[1021/5000][155/535][105246] Loss_D: -0.021808 Loss_G: 0.001436 Loss_D_real: -0.013282 Loss_D_fake 0.008526
[1021/5000][160/535][105247] Loss_D: -0.022730 Loss_G: 0.000662 Loss_D_real: -0.008961 Loss_D_fake 0.013770
[1021/5000][165/535][105248] Loss_D: -0.022976 Loss_G: -0.004875 Loss_D_real: -0.001732 Loss_D_fake 0.021244
[1021/5000][170/535][105249] Loss_D: -0.022375 Loss_G: 0.014360 Loss_D_real: -0.031197 Loss_D_fake -0.008822
[1021/5000][175/535][105250] Loss_D: -0.021802 Loss_G: -0.016512 Loss_D_real: 0.000998 Loss_D_fake 0.022801
[1021/5000][180/535][105251] Loss_D: -0.021960 Loss_G: 0.004601 Loss_D_real: -0.013880 Loss_D_fake 0.008080
[1021/5000][185/535][105252] Loss_D: -0.021998 Loss_G: 0.011498 Loss_D_real: -0.018121 Loss_D_fake 0.003876
[1021/5000][190/535][105253] Loss_D: -0.022234 Loss_G: 0.003566 Loss_D_real: -0.010531 Loss_D_fake 0.011703
[1021/5000][195/535][105254] Loss_D: -0.021413 Loss_G: 0.014524 Loss_D_real: -0.017121 Loss_D_fake 0.004292
[1021/5000][200/535][105255] Loss_D: -0.021840 Loss_G: 0.010865 Loss_D_real: -0.027644 Loss_D_fake -0.005803
[1021/5000][205/535][105256] Loss_D: -0.024080 Loss_G: 0.008841 Loss_D_real: -0.027851 Loss_D_fake -0.003771
[1021/5000][210/535][105257] Loss_D: -0.023487 Loss_G: 0.022599 Loss_D_real: -0.033919 Loss_D_fake -0.010432
[1021/5000][215/535][105258] Loss_D: -0.025032 Loss_G: 0.015588 Loss_D_real: -0.022310 Loss_D_fake 0.002722
[1021/5000][220/535][105259] Loss_D: -0.022953 Loss_G: 0.017273 Loss_D_real: -0.027231 Loss_D_fake -0.004278
[1021/5000][225/535][105260] Loss_D: -0.021895 Loss_G: 0.007799 Loss_D_real: -0.035292 Loss_D_fake -0.013396
[1021/5000][230/535][105261] Loss_D: -0.022698 Loss_G: -0.003083 Loss_D_real: -0.014996 Loss_D_fake 0.007702
[1021/5000][235/535][105262] Loss_D: -0.022601 Loss_G: 0.002044 Loss_D_real: -0.011811 Loss_D_fake 0.010790
[1021/5000][240/535][105263] Loss_D: -0.022925 Loss_G: -0.006905 Loss_D_real: -0.010999 Loss_D_fake 0.011926
[1021/5000][245/535][105264] Loss_D: -0.022543 Loss_G: 0.007250 Loss_D_real: -0.016597 Loss_D_fake 0.005945
[1021/5000][250/535][105265] Loss_D: -0.021679 Loss_G: -0.006671 Loss_D_real: -0.014597 Loss_D_fake 0.007082
[1021/5000][255/535][105266] Loss_D: -0.022923 Loss_G: 0.008318 Loss_D_real: -0.019836 Loss_D_fake 0.003086
[1021/5000][260/535][105267] Loss_D: -0.021332 Loss_G: 0.003455 Loss_D_real: -0.022880 Loss_D_fake -0.001548
[1021/5000][265/535][105268] Loss_D: -0.022488 Loss_G: 0.007436 Loss_D_real: -0.012499 Loss_D_fake 0.009989
[1021/5000][270/535][105269] Loss_D: -0.020928 Loss_G: 0.028977 Loss_D_real: -0.040456 Loss_D_fake -0.019528
[1021/5000][275/535][105270] Loss_D: -0.023709 Loss_G: 0.018860 Loss_D_real: -0.030856 Loss_D_fake -0.007147
[1021/5000][280/535][105271] Loss_D: -0.024741 Loss_G: -0.011176 Loss_D_real: -0.017625 Loss_D_fake 0.007115
[1021/5000][285/535][105272] Loss_D: -0.022511 Loss_G: 0.000779 Loss_D_real: -0.017181 Loss_D_fake 0.005330
[1021/5000][290/535][105273] Loss_D: -0.021955 Loss_G: 0.017498 Loss_D_real: -0.037003 Loss_D_fake -0.015049
[1021/5000][295/535][105274] Loss_D: -0.024506 Loss_G: 0.020157 Loss_D_real: -0.003377 Loss_D_fake 0.021129
[1021/5000][300/535][105275] Loss_D: -0.023475 Loss_G: -0.003520 Loss_D_real: -0.020402 Loss_D_fake 0.003073
[1021/5000][305/535][105276] Loss_D: -0.022983 Loss_G: -0.005222 Loss_D_real: -0.011415 Loss_D_fake 0.011568
[1021/5000][310/535][105277] Loss_D: -0.022707 Loss_G: 0.007476 Loss_D_real: -0.022938 Loss_D_fake -0.000231
[1021/5000][315/535][105278] Loss_D: -0.021518 Loss_G: 0.010861 Loss_D_real: -0.018529 Loss_D_fake 0.002989
[1021/5000][320/535][105279] Loss_D: -0.022422 Loss_G: 0.016497 Loss_D_real: -0.017604 Loss_D_fake 0.004818
[1021/5000][325/535][105280] Loss_D: -0.022979 Loss_G: -0.007251 Loss_D_real: -0.010583 Loss_D_fake 0.012396
[1021/5000][330/535][105281] Loss_D: -0.022383 Loss_G: 0.011681 Loss_D_real: -0.005047 Loss_D_fake 0.017337
[1021/5000][335/535][105282] Loss_D: -0.022442 Loss_G: 0.022543 Loss_D_real: -0.024729 Loss_D_fake -0.002287
[1021/5000][340/535][105283] Loss_D: -0.020614 Loss_G: -0.017172 Loss_D_real: -0.000764 Loss_D_fake 0.019849
[1021/5000][345/535][105284] Loss_D: -0.022134 Loss_G: 0.002479 Loss_D_real: -0.017374 Loss_D_fake 0.004761
[1021/5000][350/535][105285] Loss_D: -0.021082 Loss_G: 0.012884 Loss_D_real: -0.026888 Loss_D_fake -0.005807
[1021/5000][355/535][105286] Loss_D: -0.022467 Loss_G: 0.003559 Loss_D_real: -0.022511 Loss_D_fake -0.000044
[1021/5000][360/535][105287] Loss_D: -0.023540 Loss_G: -0.003354 Loss_D_real: -0.014760 Loss_D_fake 0.008780
[1021/5000][365/535][105288] Loss_D: -0.022155 Loss_G: -0.003302 Loss_D_real: -0.011090 Loss_D_fake 0.011065
[1021/5000][370/535][105289] Loss_D: -0.019965 Loss_G: 0.023255 Loss_D_real: -0.034736 Loss_D_fake -0.014771
[1021/5000][375/535][105290] Loss_D: -0.024134 Loss_G: -0.002415 Loss_D_real: -0.020242 Loss_D_fake 0.003892
[1021/5000][380/535][105291] Loss_D: -0.022742 Loss_G: 0.004165 Loss_D_real: -0.025023 Loss_D_fake -0.002281
[1021/5000][385/535][105292] Loss_D: -0.023615 Loss_G: 0.015316 Loss_D_real: -0.026887 Loss_D_fake -0.003272
[1021/5000][390/535][105293] Loss_D: -0.023110 Loss_G: -0.012349 Loss_D_real: -0.011404 Loss_D_fake 0.011706
[1021/5000][395/535][105294] Loss_D: -0.021925 Loss_G: -0.007318 Loss_D_real: -0.019249 Loss_D_fake 0.002676
[1021/5000][400/535][105295] Loss_D: -0.022783 Loss_G: 0.010190 Loss_D_real: -0.028198 Loss_D_fake -0.005416
[1021/5000][405/535][105296] Loss_D: -0.023522 Loss_G: 0.009023 Loss_D_real: -0.027647 Loss_D_fake -0.004125
[1021/5000][410/535][105297] Loss_D: -0.024252 Loss_G: 0.006103 Loss_D_real: -0.016697 Loss_D_fake 0.007555
[1021/5000][415/535][105298] Loss_D: -0.023905 Loss_G: 0.015683 Loss_D_real: -0.034467 Loss_D_fake -0.010563
[1021/5000][420/535][105299] Loss_D: -0.023961 Loss_G: -0.004803 Loss_D_real: -0.007007 Loss_D_fake 0.016954
[1021/5000][425/535][105300] Loss_D: -0.022421 Loss_G: 0.004321 Loss_D_real: -0.020332 Loss_D_fake 0.002089
[1021/5000][430/535][105301] Loss_D: -0.024080 Loss_G: 0.011830 Loss_D_real: -0.016357 Loss_D_fake 0.007724
[1021/5000][435/535][105302] Loss_D: -0.023040 Loss_G: 0.000411 Loss_D_real: -0.032279 Loss_D_fake -0.009238
[1021/5000][440/535][105303] Loss_D: -0.022814 Loss_G: 0.019089 Loss_D_real: -0.020562 Loss_D_fake 0.002252
[1021/5000][445/535][105304] Loss_D: -0.022316 Loss_G: 0.005724 Loss_D_real: -0.016899 Loss_D_fake 0.005417
[1021/5000][450/535][105305] Loss_D: -0.022441 Loss_G: 0.017505 Loss_D_real: -0.020355 Loss_D_fake 0.002086
[1021/5000][455/535][105306] Loss_D: -0.023458 Loss_G: 0.012129 Loss_D_real: -0.018813 Loss_D_fake 0.004645
[1021/5000][460/535][105307] Loss_D: -0.020765 Loss_G: -0.010481 Loss_D_real: -0.008113 Loss_D_fake 0.012652
[1021/5000][465/535][105308] Loss_D: -0.022356 Loss_G: 0.005879 Loss_D_real: -0.014235 Loss_D_fake 0.008121
[1021/5000][470/535][105309] Loss_D: -0.022509 Loss_G: 0.005940 Loss_D_real: -0.017771 Loss_D_fake 0.004738
[1021/5000][475/535][105310] Loss_D: -0.022451 Loss_G: 0.023485 Loss_D_real: -0.023639 Loss_D_fake -0.001188
[1021/5000][480/535][105311] Loss_D: -0.020487 Loss_G: -0.020726 Loss_D_real: -0.008736 Loss_D_fake 0.011751
[1021/5000][485/535][105312] Loss_D: -0.023072 Loss_G: 0.004725 Loss_D_real: -0.024674 Loss_D_fake -0.001602
[1021/5000][490/535][105313] Loss_D: -0.022667 Loss_G: -0.001357 Loss_D_real: -0.009924 Loss_D_fake 0.012743
[1021/5000][495/535][105314] Loss_D: -0.021992 Loss_G: 0.015947 Loss_D_real: -0.025439 Loss_D_fake -0.003447
[1021/5000][500/535][105315] Loss_D: -0.023529 Loss_G: 0.004263 Loss_D_real: -0.010406 Loss_D_fake 0.013123
[1021/5000][505/535][105316] Loss_D: -0.022920 Loss_G: 0.004089 Loss_D_real: -0.014983 Loss_D_fake 0.007937
[1021/5000][510/535][105317] Loss_D: -0.022860 Loss_G: 0.017620 Loss_D_real: -0.023004 Loss_D_fake -0.000144
[1021/5000][515/535][105318] Loss_D: -0.024011 Loss_G: 0.007978 Loss_D_real: -0.021053 Loss_D_fake 0.002958
[1021/5000][520/535][105319] Loss_D: -0.022724 Loss_G: 0.019931 Loss_D_real: -0.033205 Loss_D_fake -0.010481
[1021/5000][525/535][105320] Loss_D: -0.022376 Loss_G: 0.026268 Loss_D_real: -0.031882 Loss_D_fake -0.009506
[1021/5000][530/535][105321] Loss_D: -0.022353 Loss_G: 0.022400 Loss_D_real: -0.022936 Loss_D_fake -0.000583
[1021/5000][535/535][105322] Loss_D: -0.024005 Loss_G: 0.014060 Loss_D_real: -0.031737 Loss_D_fake -0.007733
[1022/5000][5/535][105323] Loss_D: -0.022721 Loss_G: -0.006645 Loss_D_real: -0.011709 Loss_D_fake 0.011013
[1022/5000][10/535][105324] Loss_D: -0.021887 Loss_G: 0.013406 Loss_D_real: -0.015558 Loss_D_fake 0.006329
[1022/5000][15/535][105325] Loss_D: -0.021983 Loss_G: 0.002481 Loss_D_real: -0.015682 Loss_D_fake 0.006301
[1022/5000][20/535][105326] Loss_D: -0.022770 Loss_G: -0.006687 Loss_D_real: -0.007957 Loss_D_fake 0.014813
[1022/5000][25/535][105327] Loss_D: -0.022084 Loss_G: 0.002999 Loss_D_real: -0.011483 Loss_D_fake 0.010601
[1022/5000][30/535][105328] Loss_D: -0.022087 Loss_G: -0.005281 Loss_D_real: -0.017571 Loss_D_fake 0.004516
[1022/5000][35/535][105329] Loss_D: -0.020932 Loss_G: 0.019631 Loss_D_real: -0.027692 Loss_D_fake -0.006760
[1022/5000][40/535][105330] Loss_D: -0.022309 Loss_G: 0.007615 Loss_D_real: -0.017634 Loss_D_fake 0.004675
[1022/5000][45/535][105331] Loss_D: -0.022366 Loss_G: 0.019831 Loss_D_real: -0.027751 Loss_D_fake -0.005385
[1022/5000][50/535][105332] Loss_D: -0.021581 Loss_G: 0.000121 Loss_D_real: -0.012272 Loss_D_fake 0.009309
[1022/5000][55/535][105333] Loss_D: -0.021144 Loss_G: 0.014935 Loss_D_real: -0.031636 Loss_D_fake -0.010492
[1022/5000][60/535][105334] Loss_D: -0.022449 Loss_G: -0.001275 Loss_D_real: -0.005600 Loss_D_fake 0.016848
[1022/5000][65/535][105335] Loss_D: -0.024328 Loss_G: 0.012063 Loss_D_real: -0.017058 Loss_D_fake 0.007270
[1022/5000][70/535][105336] Loss_D: -0.021222 Loss_G: 0.016658 Loss_D_real: -0.019664 Loss_D_fake 0.001558
[1022/5000][75/535][105337] Loss_D: -0.023303 Loss_G: 0.017348 Loss_D_real: -0.020650 Loss_D_fake 0.002652
[1022/5000][80/535][105338] Loss_D: -0.023068 Loss_G: 0.003711 Loss_D_real: -0.012645 Loss_D_fake 0.010423
[1022/5000][85/535][105339] Loss_D: -0.022014 Loss_G: -0.016411 Loss_D_real: 0.000406 Loss_D_fake 0.022420
[1022/5000][90/535][105340] Loss_D: -0.020964 Loss_G: 0.029760 Loss_D_real: -0.027790 Loss_D_fake -0.006826
[1022/5000][95/535][105341] Loss_D: -0.022120 Loss_G: -0.005653 Loss_D_real: -0.008704 Loss_D_fake 0.013415
[1022/5000][100/535][105342] Loss_D: -0.021639 Loss_G: 0.003410 Loss_D_real: -0.007692 Loss_D_fake 0.013948
[1022/5000][105/535][105343] Loss_D: -0.021556 Loss_G: 0.030682 Loss_D_real: -0.036130 Loss_D_fake -0.014575
[1022/5000][110/535][105344] Loss_D: -0.023052 Loss_G: -0.009446 Loss_D_real: -0.006136 Loss_D_fake 0.016916
[1022/5000][115/535][105345] Loss_D: -0.022863 Loss_G: 0.011216 Loss_D_real: -0.030333 Loss_D_fake -0.007471
[1022/5000][120/535][105346] Loss_D: -0.023544 Loss_G: -0.010506 Loss_D_real: -0.014726 Loss_D_fake 0.008818
[1022/5000][125/535][105347] Loss_D: -0.022596 Loss_G: -0.002304 Loss_D_real: -0.013142 Loss_D_fake 0.009454
[1022/5000][130/535][105348] Loss_D: -0.022669 Loss_G: 0.003718 Loss_D_real: -0.010703 Loss_D_fake 0.011966
[1022/5000][135/535][105349] Loss_D: -0.022347 Loss_G: 0.014517 Loss_D_real: -0.028121 Loss_D_fake -0.005774
[1022/5000][140/535][105350] Loss_D: -0.022858 Loss_G: 0.022545 Loss_D_real: -0.040120 Loss_D_fake -0.017262
[1022/5000][145/535][105351] Loss_D: -0.022836 Loss_G: -0.002935 Loss_D_real: -0.004527 Loss_D_fake 0.018309
[1022/5000][150/535][105352] Loss_D: -0.022067 Loss_G: 0.000894 Loss_D_real: -0.013616 Loss_D_fake 0.008451
[1022/5000][155/535][105353] Loss_D: -0.023222 Loss_G: 0.010545 Loss_D_real: -0.022176 Loss_D_fake 0.001046
[1022/5000][160/535][105354] Loss_D: -0.023955 Loss_G: 0.008047 Loss_D_real: -0.007655 Loss_D_fake 0.016300
[1022/5000][165/535][105355] Loss_D: -0.022639 Loss_G: 0.022735 Loss_D_real: -0.023645 Loss_D_fake -0.001007
[1022/5000][170/535][105356] Loss_D: -0.022734 Loss_G: -0.000158 Loss_D_real: -0.026435 Loss_D_fake -0.003700
[1022/5000][175/535][105357] Loss_D: -0.024122 Loss_G: 0.017820 Loss_D_real: -0.020842 Loss_D_fake 0.003281
[1022/5000][180/535][105358] Loss_D: -0.022746 Loss_G: 0.021334 Loss_D_real: -0.028935 Loss_D_fake -0.006190
[1022/5000][185/535][105359] Loss_D: -0.022611 Loss_G: -0.014116 Loss_D_real: -0.015977 Loss_D_fake 0.006634
[1022/5000][190/535][105360] Loss_D: -0.021191 Loss_G: -0.014091 Loss_D_real: -0.000684 Loss_D_fake 0.020507
[1022/5000][195/535][105361] Loss_D: -0.022255 Loss_G: 0.023515 Loss_D_real: -0.022861 Loss_D_fake -0.000605
[1022/5000][200/535][105362] Loss_D: -0.021523 Loss_G: -0.007818 Loss_D_real: -0.005213 Loss_D_fake 0.016310
[1022/5000][205/535][105363] Loss_D: -0.021630 Loss_G: 0.013017 Loss_D_real: -0.025021 Loss_D_fake -0.003391
[1022/5000][210/535][105364] Loss_D: -0.022199 Loss_G: -0.001651 Loss_D_real: -0.011991 Loss_D_fake 0.010208
[1022/5000][215/535][105365] Loss_D: -0.021824 Loss_G: 0.019806 Loss_D_real: -0.029501 Loss_D_fake -0.007677
[1022/5000][220/535][105366] Loss_D: -0.021165 Loss_G: -0.007876 Loss_D_real: -0.020391 Loss_D_fake 0.000774
[1022/5000][225/535][105367] Loss_D: -0.022513 Loss_G: 0.007352 Loss_D_real: -0.006001 Loss_D_fake 0.016512
[1022/5000][230/535][105368] Loss_D: -0.021463 Loss_G: 0.018521 Loss_D_real: -0.030895 Loss_D_fake -0.009432
[1022/5000][235/535][105369] Loss_D: -0.022302 Loss_G: 0.019325 Loss_D_real: -0.022879 Loss_D_fake -0.000577
[1022/5000][240/535][105370] Loss_D: -0.022920 Loss_G: 0.005007 Loss_D_real: -0.021216 Loss_D_fake 0.001704
[1022/5000][245/535][105371] Loss_D: -0.022765 Loss_G: 0.017663 Loss_D_real: -0.025288 Loss_D_fake -0.002524
[1022/5000][250/535][105372] Loss_D: -0.022274 Loss_G: -0.011176 Loss_D_real: 0.004504 Loss_D_fake 0.026778
[1022/5000][255/535][105373] Loss_D: -0.022639 Loss_G: 0.012417 Loss_D_real: -0.029806 Loss_D_fake -0.007168
[1022/5000][260/535][105374] Loss_D: -0.022682 Loss_G: 0.013073 Loss_D_real: -0.010393 Loss_D_fake 0.012288
[1022/5000][265/535][105375] Loss_D: -0.022831 Loss_G: 0.015536 Loss_D_real: -0.025829 Loss_D_fake -0.002998
[1022/5000][270/535][105376] Loss_D: -0.021728 Loss_G: 0.014252 Loss_D_real: -0.033433 Loss_D_fake -0.011705
[1022/5000][275/535][105377] Loss_D: -0.023726 Loss_G: -0.007682 Loss_D_real: -0.008512 Loss_D_fake 0.015214
[1022/5000][280/535][105378] Loss_D: -0.022897 Loss_G: 0.009844 Loss_D_real: -0.023445 Loss_D_fake -0.000548
[1022/5000][285/535][105379] Loss_D: -0.023135 Loss_G: -0.001040 Loss_D_real: -0.018177 Loss_D_fake 0.004958
[1022/5000][290/535][105380] Loss_D: -0.023019 Loss_G: -0.002483 Loss_D_real: -0.005543 Loss_D_fake 0.017476
[1022/5000][295/535][105381] Loss_D: -0.021850 Loss_G: 0.021344 Loss_D_real: -0.023823 Loss_D_fake -0.001973
[1022/5000][300/535][105382] Loss_D: -0.022019 Loss_G: -0.006273 Loss_D_real: -0.012320 Loss_D_fake 0.009699
[1022/5000][305/535][105383] Loss_D: -0.022904 Loss_G: 0.005111 Loss_D_real: -0.016538 Loss_D_fake 0.006366
[1022/5000][310/535][105384] Loss_D: -0.022411 Loss_G: -0.007646 Loss_D_real: -0.015163 Loss_D_fake 0.007248
[1022/5000][315/535][105385] Loss_D: -0.021085 Loss_G: -0.004410 Loss_D_real: -0.012602 Loss_D_fake 0.008483
[1022/5000][320/535][105386] Loss_D: -0.023403 Loss_G: 0.020091 Loss_D_real: -0.016532 Loss_D_fake 0.006871
[1022/5000][325/535][105387] Loss_D: -0.022389 Loss_G: 0.016117 Loss_D_real: -0.023555 Loss_D_fake -0.001166
[1022/5000][330/535][105388] Loss_D: -0.023857 Loss_G: 0.014951 Loss_D_real: -0.025030 Loss_D_fake -0.001174
[1022/5000][335/535][105389] Loss_D: -0.022314 Loss_G: 0.007497 Loss_D_real: -0.023143 Loss_D_fake -0.000829
[1022/5000][340/535][105390] Loss_D: -0.024161 Loss_G: -0.005745 Loss_D_real: -0.016588 Loss_D_fake 0.007574
[1022/5000][345/535][105391] Loss_D: -0.023067 Loss_G: -0.008501 Loss_D_real: -0.016001 Loss_D_fake 0.007065
[1022/5000][350/535][105392] Loss_D: -0.023311 Loss_G: -0.004028 Loss_D_real: -0.012185 Loss_D_fake 0.011127
[1022/5000][355/535][105393] Loss_D: -0.023064 Loss_G: 0.013059 Loss_D_real: -0.007738 Loss_D_fake 0.015326
[1022/5000][360/535][105394] Loss_D: -0.023106 Loss_G: 0.002753 Loss_D_real: -0.012549 Loss_D_fake 0.010557
[1022/5000][365/535][105395] Loss_D: -0.021750 Loss_G: 0.020487 Loss_D_real: -0.025008 Loss_D_fake -0.003258
[1022/5000][370/535][105396] Loss_D: -0.021114 Loss_G: -0.006216 Loss_D_real: 0.007576 Loss_D_fake 0.028690
[1022/5000][375/535][105397] Loss_D: -0.023580 Loss_G: -0.001182 Loss_D_real: -0.020088 Loss_D_fake 0.003493
[1022/5000][380/535][105398] Loss_D: -0.022106 Loss_G: -0.009731 Loss_D_real: -0.012410 Loss_D_fake 0.009697
[1022/5000][385/535][105399] Loss_D: -0.021887 Loss_G: 0.028415 Loss_D_real: -0.034788 Loss_D_fake -0.012901
[1022/5000][390/535][105400] Loss_D: -0.021557 Loss_G: -0.015882 Loss_D_real: -0.000152 Loss_D_fake 0.021405
[1022/5000][395/535][105401] Loss_D: -0.022639 Loss_G: 0.005830 Loss_D_real: -0.009607 Loss_D_fake 0.013031
[1022/5000][400/535][105402] Loss_D: -0.022519 Loss_G: -0.004623 Loss_D_real: -0.010874 Loss_D_fake 0.011645
[1022/5000][405/535][105403] Loss_D: -0.019697 Loss_G: 0.030038 Loss_D_real: -0.039784 Loss_D_fake -0.020087
[1022/5000][410/535][105404] Loss_D: -0.022042 Loss_G: -0.011211 Loss_D_real: -0.001786 Loss_D_fake 0.020256
[1022/5000][415/535][105405] Loss_D: -0.022785 Loss_G: 0.020645 Loss_D_real: -0.033729 Loss_D_fake -0.010944
[1022/5000][420/535][105406] Loss_D: -0.022032 Loss_G: 0.018718 Loss_D_real: -0.028336 Loss_D_fake -0.006304
[1022/5000][425/535][105407] Loss_D: -0.022191 Loss_G: 0.018058 Loss_D_real: -0.034274 Loss_D_fake -0.012083
[1022/5000][430/535][105408] Loss_D: -0.022070 Loss_G: 0.024965 Loss_D_real: -0.029980 Loss_D_fake -0.007909
[1022/5000][435/535][105409] Loss_D: -0.023279 Loss_G: 0.001010 Loss_D_real: -0.014456 Loss_D_fake 0.008823
[1022/5000][440/535][105410] Loss_D: -0.022844 Loss_G: -0.002196 Loss_D_real: -0.019230 Loss_D_fake 0.003614
[1022/5000][445/535][105411] Loss_D: -0.024027 Loss_G: 0.013526 Loss_D_real: -0.019090 Loss_D_fake 0.004937
[1022/5000][450/535][105412] Loss_D: -0.023611 Loss_G: 0.013363 Loss_D_real: -0.024909 Loss_D_fake -0.001297
[1022/5000][455/535][105413] Loss_D: -0.021350 Loss_G: 0.024897 Loss_D_real: -0.044307 Loss_D_fake -0.022956
[1022/5000][460/535][105414] Loss_D: -0.023839 Loss_G: -0.001738 Loss_D_real: -0.018173 Loss_D_fake 0.005667
[1022/5000][465/535][105415] Loss_D: -0.021577 Loss_G: 0.014197 Loss_D_real: -0.026674 Loss_D_fake -0.005097
[1022/5000][470/535][105416] Loss_D: -0.023791 Loss_G: -0.006741 Loss_D_real: -0.014808 Loss_D_fake 0.008984
[1022/5000][475/535][105417] Loss_D: -0.022106 Loss_G: 0.025227 Loss_D_real: -0.025281 Loss_D_fake -0.003176
[1022/5000][480/535][105418] Loss_D: -0.023579 Loss_G: 0.006411 Loss_D_real: -0.012014 Loss_D_fake 0.011565
[1022/5000][485/535][105419] Loss_D: -0.022276 Loss_G: 0.014982 Loss_D_real: -0.019209 Loss_D_fake 0.003067
[1022/5000][490/535][105420] Loss_D: -0.022189 Loss_G: 0.008573 Loss_D_real: -0.020837 Loss_D_fake 0.001352
[1022/5000][495/535][105421] Loss_D: -0.022476 Loss_G: -0.004245 Loss_D_real: -0.012604 Loss_D_fake 0.009873
[1022/5000][500/535][105422] Loss_D: -0.020940 Loss_G: 0.000511 Loss_D_real: -0.021729 Loss_D_fake -0.000789
[1022/5000][505/535][105423] Loss_D: -0.022767 Loss_G: -0.004358 Loss_D_real: -0.007264 Loss_D_fake 0.015502
[1022/5000][510/535][105424] Loss_D: -0.023334 Loss_G: -0.013330 Loss_D_real: -0.009354 Loss_D_fake 0.013980
[1022/5000][515/535][105425] Loss_D: -0.022433 Loss_G: -0.006786 Loss_D_real: 0.001005 Loss_D_fake 0.023438
[1022/5000][520/535][105426] Loss_D: -0.022795 Loss_G: 0.027726 Loss_D_real: -0.024835 Loss_D_fake -0.002039
[1022/5000][525/535][105427] Loss_D: -0.023306 Loss_G: 0.005497 Loss_D_real: -0.010410 Loss_D_fake 0.012896
[1022/5000][530/535][105428] Loss_D: -0.020999 Loss_G: 0.022313 Loss_D_real: -0.035008 Loss_D_fake -0.014009
[1022/5000][535/535][105429] Loss_D: -0.021673 Loss_G: 0.028362 Loss_D_real: -0.016246 Loss_D_fake 0.005427
[1023/5000][5/535][105430] Loss_D: -0.022447 Loss_G: -0.019851 Loss_D_real: -0.013531 Loss_D_fake 0.008916
[1023/5000][10/535][105431] Loss_D: -0.022445 Loss_G: 0.003052 Loss_D_real: -0.014954 Loss_D_fake 0.007491
[1023/5000][15/535][105432] Loss_D: -0.022450 Loss_G: 0.014188 Loss_D_real: -0.030835 Loss_D_fake -0.008385
[1023/5000][20/535][105433] Loss_D: -0.023222 Loss_G: 0.002992 Loss_D_real: -0.014254 Loss_D_fake 0.008968
[1023/5000][25/535][105434] Loss_D: -0.022502 Loss_G: 0.008740 Loss_D_real: -0.014760 Loss_D_fake 0.007741
[1023/5000][30/535][105435] Loss_D: -0.023382 Loss_G: 0.024503 Loss_D_real: -0.025980 Loss_D_fake -0.002598
[1023/5000][35/535][105436] Loss_D: -0.020959 Loss_G: 0.015973 Loss_D_real: -0.038969 Loss_D_fake -0.018010
[1023/5000][40/535][105437] Loss_D: -0.023440 Loss_G: 0.023012 Loss_D_real: -0.018673 Loss_D_fake 0.004767
[1023/5000][45/535][105438] Loss_D: -0.022824 Loss_G: 0.005556 Loss_D_real: -0.019527 Loss_D_fake 0.003297
[1023/5000][50/535][105439] Loss_D: -0.023015 Loss_G: 0.010726 Loss_D_real: -0.014327 Loss_D_fake 0.008688
[1023/5000][55/535][105440] Loss_D: -0.022450 Loss_G: -0.000155 Loss_D_real: -0.006161 Loss_D_fake 0.016289
[1023/5000][60/535][105441] Loss_D: -0.021070 Loss_G: 0.010182 Loss_D_real: -0.020322 Loss_D_fake 0.000748
[1023/5000][65/535][105442] Loss_D: -0.022525 Loss_G: 0.005231 Loss_D_real: -0.009850 Loss_D_fake 0.012674
[1023/5000][70/535][105443] Loss_D: -0.022320 Loss_G: 0.000850 Loss_D_real: -0.017442 Loss_D_fake 0.004878
[1023/5000][75/535][105444] Loss_D: -0.022954 Loss_G: -0.000530 Loss_D_real: -0.022428 Loss_D_fake 0.000526
[1023/5000][80/535][105445] Loss_D: -0.023086 Loss_G: 0.006053 Loss_D_real: -0.011676 Loss_D_fake 0.011410
[1023/5000][85/535][105446] Loss_D: -0.023599 Loss_G: 0.011085 Loss_D_real: -0.024909 Loss_D_fake -0.001310
[1023/5000][90/535][105447] Loss_D: -0.022143 Loss_G: 0.009372 Loss_D_real: -0.028255 Loss_D_fake -0.006112
[1023/5000][95/535][105448] Loss_D: -0.021629 Loss_G: 0.007568 Loss_D_real: -0.024897 Loss_D_fake -0.003268
[1023/5000][100/535][105449] Loss_D: -0.023337 Loss_G: 0.002201 Loss_D_real: -0.012261 Loss_D_fake 0.011076
[1023/5000][105/535][105450] Loss_D: -0.023202 Loss_G: -0.011701 Loss_D_real: -0.005972 Loss_D_fake 0.017230
[1023/5000][110/535][105451] Loss_D: -0.019912 Loss_G: -0.016820 Loss_D_real: -0.001431 Loss_D_fake 0.018482
[1023/5000][115/535][105452] Loss_D: -0.021513 Loss_G: 0.008620 Loss_D_real: -0.025176 Loss_D_fake -0.003663
[1023/5000][120/535][105453] Loss_D: -0.021925 Loss_G: 0.012469 Loss_D_real: -0.021529 Loss_D_fake 0.000396
[1023/5000][125/535][105454] Loss_D: -0.023751 Loss_G: 0.003585 Loss_D_real: -0.020964 Loss_D_fake 0.002787
[1023/5000][130/535][105455] Loss_D: -0.022962 Loss_G: 0.016266 Loss_D_real: -0.030410 Loss_D_fake -0.007449
[1023/5000][135/535][105456] Loss_D: -0.022974 Loss_G: 0.030889 Loss_D_real: -0.028451 Loss_D_fake -0.005477
[1023/5000][140/535][105457] Loss_D: -0.021367 Loss_G: 0.019213 Loss_D_real: -0.021333 Loss_D_fake 0.000034
[1023/5000][145/535][105458] Loss_D: -0.023228 Loss_G: 0.020391 Loss_D_real: -0.019874 Loss_D_fake 0.003354
[1023/5000][150/535][105459] Loss_D: -0.022278 Loss_G: 0.025203 Loss_D_real: -0.035380 Loss_D_fake -0.013102
[1023/5000][155/535][105460] Loss_D: -0.024616 Loss_G: 0.004145 Loss_D_real: -0.015040 Loss_D_fake 0.009576
[1023/5000][160/535][105461] Loss_D: -0.023747 Loss_G: 0.009677 Loss_D_real: -0.030935 Loss_D_fake -0.007188
[1023/5000][165/535][105462] Loss_D: -0.025880 Loss_G: 0.010406 Loss_D_real: -0.022790 Loss_D_fake 0.003090
[1023/5000][170/535][105463] Loss_D: -0.024608 Loss_G: 0.007597 Loss_D_real: -0.014094 Loss_D_fake 0.010513
[1023/5000][175/535][105464] Loss_D: -0.020501 Loss_G: -0.014641 Loss_D_real: 0.005376 Loss_D_fake 0.025877
[1023/5000][180/535][105465] Loss_D: -0.023768 Loss_G: 0.019805 Loss_D_real: -0.024388 Loss_D_fake -0.000620
[1023/5000][185/535][105466] Loss_D: -0.022598 Loss_G: 0.016251 Loss_D_real: -0.023861 Loss_D_fake -0.001263
[1023/5000][190/535][105467] Loss_D: -0.022907 Loss_G: 0.006123 Loss_D_real: -0.021869 Loss_D_fake 0.001038
[1023/5000][195/535][105468] Loss_D: -0.022419 Loss_G: 0.014616 Loss_D_real: -0.018536 Loss_D_fake 0.003883
[1023/5000][200/535][105469] Loss_D: -0.023966 Loss_G: -0.000047 Loss_D_real: -0.016285 Loss_D_fake 0.007681
[1023/5000][205/535][105470] Loss_D: -0.023064 Loss_G: 0.015845 Loss_D_real: -0.025116 Loss_D_fake -0.002052
[1023/5000][210/535][105471] Loss_D: -0.022483 Loss_G: 0.010947 Loss_D_real: -0.030946 Loss_D_fake -0.008463
[1023/5000][215/535][105472] Loss_D: -0.023045 Loss_G: 0.003181 Loss_D_real: -0.009960 Loss_D_fake 0.013085
[1023/5000][220/535][105473] Loss_D: -0.020597 Loss_G: 0.036672 Loss_D_real: -0.033788 Loss_D_fake -0.013191
[1023/5000][225/535][105474] Loss_D: -0.022202 Loss_G: -0.003329 Loss_D_real: -0.016388 Loss_D_fake 0.005814
[1023/5000][230/535][105475] Loss_D: -0.022764 Loss_G: 0.014686 Loss_D_real: -0.029768 Loss_D_fake -0.007004
[1023/5000][235/535][105476] Loss_D: -0.023656 Loss_G: 0.014133 Loss_D_real: -0.028465 Loss_D_fake -0.004809
[1023/5000][240/535][105477] Loss_D: -0.023052 Loss_G: -0.016997 Loss_D_real: -0.006820 Loss_D_fake 0.016231
[1023/5000][245/535][105478] Loss_D: -0.022289 Loss_G: -0.001953 Loss_D_real: -0.006773 Loss_D_fake 0.015516
[1023/5000][250/535][105479] Loss_D: -0.022592 Loss_G: 0.001321 Loss_D_real: -0.012311 Loss_D_fake 0.010280
[1023/5000][255/535][105480] Loss_D: -0.022344 Loss_G: 0.001954 Loss_D_real: 0.004887 Loss_D_fake 0.027231
[1023/5000][260/535][105481] Loss_D: -0.023532 Loss_G: 0.005458 Loss_D_real: -0.009830 Loss_D_fake 0.013702
[1023/5000][265/535][105482] Loss_D: -0.021358 Loss_G: 0.016678 Loss_D_real: -0.022679 Loss_D_fake -0.001321
[1023/5000][270/535][105483] Loss_D: -0.022435 Loss_G: 0.007144 Loss_D_real: -0.019422 Loss_D_fake 0.003013
[1023/5000][275/535][105484] Loss_D: -0.023512 Loss_G: 0.013524 Loss_D_real: -0.030077 Loss_D_fake -0.006565
[1023/5000][280/535][105485] Loss_D: -0.022643 Loss_G: 0.021774 Loss_D_real: -0.021924 Loss_D_fake 0.000719
[1023/5000][285/535][105486] Loss_D: -0.021795 Loss_G: -0.007837 Loss_D_real: -0.014317 Loss_D_fake 0.007477
[1023/5000][290/535][105487] Loss_D: -0.022905 Loss_G: 0.022714 Loss_D_real: -0.026452 Loss_D_fake -0.003547
[1023/5000][295/535][105488] Loss_D: -0.022676 Loss_G: -0.004595 Loss_D_real: -0.016606 Loss_D_fake 0.006070
[1023/5000][300/535][105489] Loss_D: -0.022764 Loss_G: 0.015484 Loss_D_real: -0.025705 Loss_D_fake -0.002941
[1023/5000][305/535][105490] Loss_D: -0.022880 Loss_G: -0.005746 Loss_D_real: -0.001519 Loss_D_fake 0.021361
[1023/5000][310/535][105491] Loss_D: -0.022414 Loss_G: -0.001292 Loss_D_real: -0.017605 Loss_D_fake 0.004809
[1023/5000][315/535][105492] Loss_D: -0.022894 Loss_G: 0.018112 Loss_D_real: -0.020894 Loss_D_fake 0.002000
[1023/5000][320/535][105493] Loss_D: -0.020977 Loss_G: 0.001471 Loss_D_real: -0.024854 Loss_D_fake -0.003877
[1023/5000][325/535][105494] Loss_D: -0.022549 Loss_G: 0.018606 Loss_D_real: -0.028665 Loss_D_fake -0.006117
[1023/5000][330/535][105495] Loss_D: -0.022797 Loss_G: 0.008020 Loss_D_real: -0.030257 Loss_D_fake -0.007459
[1023/5000][335/535][105496] Loss_D: -0.021971 Loss_G: 0.013400 Loss_D_real: -0.026704 Loss_D_fake -0.004734
[1023/5000][340/535][105497] Loss_D: -0.024372 Loss_G: 0.009731 Loss_D_real: -0.018618 Loss_D_fake 0.005754
[1023/5000][345/535][105498] Loss_D: -0.023261 Loss_G: 0.012179 Loss_D_real: -0.024815 Loss_D_fake -0.001553
[1023/5000][350/535][105499] Loss_D: -0.024080 Loss_G: 0.023138 Loss_D_real: -0.030078 Loss_D_fake -0.005998
[1023/5000][355/535][105500] Loss_D: -0.024830 Loss_G: 0.012320 Loss_D_real: -0.024265 Loss_D_fake 0.000565
[1023/5000][455/535][105501] Loss_D: -0.025856 Loss_G: 0.022292 Loss_D_real: -0.029950 Loss_D_fake -0.004094
[1023/5000][460/535][105502] Loss_D: -0.019994 Loss_G: -0.002313 Loss_D_real: -0.011089 Loss_D_fake 0.008904
[1023/5000][465/535][105503] Loss_D: -0.021088 Loss_G: 0.010366 Loss_D_real: -0.019595 Loss_D_fake 0.001493
[1023/5000][470/535][105504] Loss_D: -0.023128 Loss_G: 0.016964 Loss_D_real: -0.018460 Loss_D_fake 0.004669
[1023/5000][475/535][105505] Loss_D: -0.021311 Loss_G: 0.009266 Loss_D_real: -0.013778 Loss_D_fake 0.007534
[1023/5000][480/535][105506] Loss_D: -0.019980 Loss_G: 0.006847 Loss_D_real: -0.016357 Loss_D_fake 0.003624
[1023/5000][485/535][105507] Loss_D: -0.021297 Loss_G: 0.010399 Loss_D_real: -0.026457 Loss_D_fake -0.005159
[1023/5000][490/535][105508] Loss_D: -0.021608 Loss_G: 0.010255 Loss_D_real: -0.025430 Loss_D_fake -0.003822
[1023/5000][495/535][105509] Loss_D: -0.021821 Loss_G: 0.003975 Loss_D_real: -0.015581 Loss_D_fake 0.006239
[1023/5000][500/535][105510] Loss_D: -0.021538 Loss_G: 0.026186 Loss_D_real: -0.027389 Loss_D_fake -0.005850
[1023/5000][505/535][105511] Loss_D: -0.021283 Loss_G: 0.003443 Loss_D_real: -0.019670 Loss_D_fake 0.001613
[1023/5000][510/535][105512] Loss_D: -0.022221 Loss_G: 0.003858 Loss_D_real: -0.015575 Loss_D_fake 0.006646
[1023/5000][515/535][105513] Loss_D: -0.022524 Loss_G: 0.009718 Loss_D_real: -0.011899 Loss_D_fake 0.010625
[1023/5000][520/535][105514] Loss_D: -0.021289 Loss_G: 0.029118 Loss_D_real: -0.028643 Loss_D_fake -0.007354
[1023/5000][525/535][105515] Loss_D: -0.021748 Loss_G: -0.018614 Loss_D_real: -0.003246 Loss_D_fake 0.018502
[1023/5000][530/535][105516] Loss_D: -0.023175 Loss_G: 0.013471 Loss_D_real: -0.026886 Loss_D_fake -0.003711
[1023/5000][535/535][105517] Loss_D: -0.020981 Loss_G: 0.016629 Loss_D_real: -0.008925 Loss_D_fake 0.012056
[1024/5000][5/535][105518] Loss_D: -0.023677 Loss_G: -0.005445 Loss_D_real: -0.023121 Loss_D_fake 0.000556
[1024/5000][10/535][105519] Loss_D: -0.022391 Loss_G: 0.000521 Loss_D_real: -0.013251 Loss_D_fake 0.009139
[1024/5000][15/535][105520] Loss_D: -0.021124 Loss_G: 0.014021 Loss_D_real: -0.022525 Loss_D_fake -0.001400
[1024/5000][20/535][105521] Loss_D: -0.022361 Loss_G: -0.000702 Loss_D_real: -0.017091 Loss_D_fake 0.005271
[1024/5000][25/535][105522] Loss_D: -0.021513 Loss_G: 0.017528 Loss_D_real: -0.031865 Loss_D_fake -0.010351
[1024/5000][30/535][105523] Loss_D: -0.020679 Loss_G: -0.002087 Loss_D_real: -0.016853 Loss_D_fake 0.003826
[1024/5000][35/535][105524] Loss_D: -0.020946 Loss_G: -0.002441 Loss_D_real: -0.018755 Loss_D_fake 0.002191
[1024/5000][40/535][105525] Loss_D: -0.022065 Loss_G: -0.003096 Loss_D_real: -0.023363 Loss_D_fake -0.001298
[1024/5000][45/535][105526] Loss_D: -0.023150 Loss_G: 0.008420 Loss_D_real: -0.020997 Loss_D_fake 0.002153
[1024/5000][50/535][105527] Loss_D: -0.021574 Loss_G: 0.016072 Loss_D_real: -0.026298 Loss_D_fake -0.004723
[1024/5000][55/535][105528] Loss_D: -0.022322 Loss_G: 0.020211 Loss_D_real: -0.020169 Loss_D_fake 0.002154
[1024/5000][60/535][105529] Loss_D: -0.022126 Loss_G: 0.009398 Loss_D_real: -0.010803 Loss_D_fake 0.011323
[1024/5000][65/535][105530] Loss_D: -0.021775 Loss_G: -0.004542 Loss_D_real: 0.001017 Loss_D_fake 0.022792
[1024/5000][70/535][105531] Loss_D: -0.021713 Loss_G: 0.003452 Loss_D_real: -0.015825 Loss_D_fake 0.005888
[1024/5000][75/535][105532] Loss_D: -0.022958 Loss_G: -0.007071 Loss_D_real: -0.008866 Loss_D_fake 0.014092
[1024/5000][80/535][105533] Loss_D: -0.021859 Loss_G: 0.001452 Loss_D_real: -0.013841 Loss_D_fake 0.008018
[1024/5000][85/535][105534] Loss_D: -0.022277 Loss_G: 0.020913 Loss_D_real: -0.021802 Loss_D_fake 0.000475
[1024/5000][90/535][105535] Loss_D: -0.022803 Loss_G: -0.000381 Loss_D_real: -0.029965 Loss_D_fake -0.007162
[1024/5000][95/535][105536] Loss_D: -0.023144 Loss_G: 0.010556 Loss_D_real: -0.007515 Loss_D_fake 0.015628
[1024/5000][100/535][105537] Loss_D: -0.022407 Loss_G: 0.001146 Loss_D_real: -0.010330 Loss_D_fake 0.012077
[1024/5000][105/535][105538] Loss_D: -0.022897 Loss_G: 0.000219 Loss_D_real: -0.024975 Loss_D_fake -0.002078
[1024/5000][110/535][105539] Loss_D: -0.022955 Loss_G: 0.019323 Loss_D_real: -0.021008 Loss_D_fake 0.001948
[1024/5000][115/535][105540] Loss_D: -0.021245 Loss_G: 0.008114 Loss_D_real: -0.023036 Loss_D_fake -0.001791
[1024/5000][120/535][105541] Loss_D: -0.021335 Loss_G: 0.017400 Loss_D_real: -0.023603 Loss_D_fake -0.002268
[1024/5000][125/535][105542] Loss_D: -0.021753 Loss_G: -0.001269 Loss_D_real: -0.006134 Loss_D_fake 0.015618
[1024/5000][130/535][105543] Loss_D: -0.020079 Loss_G: -0.010700 Loss_D_real: -0.012330 Loss_D_fake 0.007749
[1024/5000][135/535][105544] Loss_D: -0.022459 Loss_G: 0.015535 Loss_D_real: -0.024837 Loss_D_fake -0.002378
[1024/5000][140/535][105545] Loss_D: -0.023712 Loss_G: 0.000761 Loss_D_real: -0.008513 Loss_D_fake 0.015199
[1024/5000][145/535][105546] Loss_D: -0.021830 Loss_G: 0.005194 Loss_D_real: -0.021618 Loss_D_fake 0.000212
[1024/5000][150/535][105547] Loss_D: -0.022829 Loss_G: 0.019665 Loss_D_real: -0.024514 Loss_D_fake -0.001684
[1024/5000][155/535][105548] Loss_D: -0.022966 Loss_G: -0.007113 Loss_D_real: -0.020758 Loss_D_fake 0.002208
[1024/5000][160/535][105549] Loss_D: -0.023911 Loss_G: 0.026745 Loss_D_real: -0.026806 Loss_D_fake -0.002895
[1024/5000][165/535][105550] Loss_D: -0.021343 Loss_G: 0.017393 Loss_D_real: -0.027987 Loss_D_fake -0.006645
[1024/5000][170/535][105551] Loss_D: -0.023554 Loss_G: 0.011153 Loss_D_real: -0.012464 Loss_D_fake 0.011090
[1024/5000][175/535][105552] Loss_D: -0.022652 Loss_G: -0.011868 Loss_D_real: -0.012147 Loss_D_fake 0.010505
[1024/5000][180/535][105553] Loss_D: -0.021399 Loss_G: 0.030358 Loss_D_real: -0.029835 Loss_D_fake -0.008436
[1024/5000][185/535][105554] Loss_D: -0.022405 Loss_G: -0.016890 Loss_D_real: -0.005029 Loss_D_fake 0.017376
[1024/5000][190/535][105555] Loss_D: -0.021204 Loss_G: 0.020210 Loss_D_real: -0.031762 Loss_D_fake -0.010558
[1024/5000][195/535][105556] Loss_D: -0.022040 Loss_G: -0.009310 Loss_D_real: -0.018584 Loss_D_fake 0.003456
[1024/5000][200/535][105557] Loss_D: -0.022898 Loss_G: 0.027355 Loss_D_real: -0.024664 Loss_D_fake -0.001766
[1024/5000][205/535][105558] Loss_D: -0.023164 Loss_G: 0.009352 Loss_D_real: -0.030136 Loss_D_fake -0.006973
[1024/5000][210/535][105559] Loss_D: -0.022189 Loss_G: -0.007740 Loss_D_real: -0.012647 Loss_D_fake 0.009541
[1024/5000][215/535][105560] Loss_D: -0.021390 Loss_G: 0.009777 Loss_D_real: -0.017592 Loss_D_fake 0.003797
[1024/5000][220/535][105561] Loss_D: -0.024704 Loss_G: 0.014840 Loss_D_real: -0.019907 Loss_D_fake 0.004797
[1024/5000][225/535][105562] Loss_D: -0.022215 Loss_G: -0.002453 Loss_D_real: -0.013565 Loss_D_fake 0.008650
[1024/5000][230/535][105563] Loss_D: -0.022579 Loss_G: 0.014286 Loss_D_real: -0.020481 Loss_D_fake 0.002099
[1024/5000][235/535][105564] Loss_D: -0.023651 Loss_G: -0.003180 Loss_D_real: -0.011649 Loss_D_fake 0.012001
[1024/5000][240/535][105565] Loss_D: -0.022002 Loss_G: 0.007513 Loss_D_real: -0.031880 Loss_D_fake -0.009878
[1024/5000][245/535][105566] Loss_D: -0.023899 Loss_G: 0.012126 Loss_D_real: -0.023130 Loss_D_fake 0.000769
[1024/5000][250/535][105567] Loss_D: -0.022566 Loss_G: 0.014362 Loss_D_real: -0.029291 Loss_D_fake -0.006725
[1024/5000][255/535][105568] Loss_D: -0.023480 Loss_G: -0.008966 Loss_D_real: -0.011312 Loss_D_fake 0.012167
[1024/5000][260/535][105569] Loss_D: -0.022576 Loss_G: 0.001098 Loss_D_real: -0.020596 Loss_D_fake 0.001980
[1024/5000][265/535][105570] Loss_D: -0.021929 Loss_G: 0.026115 Loss_D_real: -0.035307 Loss_D_fake -0.013378
[1024/5000][270/535][105571] Loss_D: -0.022956 Loss_G: 0.017552 Loss_D_real: -0.034671 Loss_D_fake -0.011715
[1024/5000][275/535][105572] Loss_D: -0.022450 Loss_G: 0.021976 Loss_D_real: -0.023227 Loss_D_fake -0.000777
[1024/5000][280/535][105573] Loss_D: -0.022589 Loss_G: 0.012859 Loss_D_real: -0.031333 Loss_D_fake -0.008744
[1024/5000][285/535][105574] Loss_D: -0.022591 Loss_G: 0.009444 Loss_D_real: -0.023589 Loss_D_fake -0.000998
[1024/5000][290/535][105575] Loss_D: -0.021748 Loss_G: -0.020741 Loss_D_real: -0.001344 Loss_D_fake 0.020405
[1024/5000][295/535][105576] Loss_D: -0.021919 Loss_G: 0.015319 Loss_D_real: -0.014569 Loss_D_fake 0.007350
[1024/5000][300/535][105577] Loss_D: -0.023411 Loss_G: 0.003655 Loss_D_real: -0.012223 Loss_D_fake 0.011188
[1024/5000][305/535][105578] Loss_D: -0.021819 Loss_G: -0.011430 Loss_D_real: -0.003712 Loss_D_fake 0.018108
[1024/5000][310/535][105579] Loss_D: -0.022412 Loss_G: 0.016261 Loss_D_real: -0.026921 Loss_D_fake -0.004508
[1024/5000][315/535][105580] Loss_D: -0.022183 Loss_G: 0.007655 Loss_D_real: -0.023698 Loss_D_fake -0.001515
[1024/5000][320/535][105581] Loss_D: -0.021112 Loss_G: 0.011210 Loss_D_real: -0.022369 Loss_D_fake -0.001257
[1024/5000][325/535][105582] Loss_D: -0.022684 Loss_G: 0.006731 Loss_D_real: -0.021477 Loss_D_fake 0.001207
[1024/5000][330/535][105583] Loss_D: -0.020115 Loss_G: 0.022843 Loss_D_real: -0.034608 Loss_D_fake -0.014493
[1024/5000][335/535][105584] Loss_D: -0.022433 Loss_G: 0.014216 Loss_D_real: -0.027703 Loss_D_fake -0.005269
[1024/5000][340/535][105585] Loss_D: -0.022710 Loss_G: -0.000217 Loss_D_real: -0.022826 Loss_D_fake -0.000116
[1024/5000][345/535][105586] Loss_D: -0.022485 Loss_G: 0.001513 Loss_D_real: -0.012829 Loss_D_fake 0.009656
[1024/5000][350/535][105587] Loss_D: -0.022519 Loss_G: 0.007084 Loss_D_real: -0.014516 Loss_D_fake 0.008003
[1024/5000][355/535][105588] Loss_D: -0.022672 Loss_G: -0.008929 Loss_D_real: -0.012660 Loss_D_fake 0.010012
[1024/5000][360/535][105589] Loss_D: -0.021486 Loss_G: 0.034785 Loss_D_real: -0.031266 Loss_D_fake -0.009781
[1024/5000][365/535][105590] Loss_D: -0.022471 Loss_G: 0.001935 Loss_D_real: -0.017926 Loss_D_fake 0.004545
[1024/5000][370/535][105591] Loss_D: -0.022626 Loss_G: 0.003009 Loss_D_real: -0.020600 Loss_D_fake 0.002026
[1024/5000][375/535][105592] Loss_D: -0.022917 Loss_G: 0.015486 Loss_D_real: -0.012793 Loss_D_fake 0.010124
[1024/5000][380/535][105593] Loss_D: -0.021501 Loss_G: 0.001096 Loss_D_real: -0.014903 Loss_D_fake 0.006598
[1024/5000][385/535][105594] Loss_D: -0.023095 Loss_G: 0.007049 Loss_D_real: -0.028442 Loss_D_fake -0.005347
[1024/5000][390/535][105595] Loss_D: -0.023833 Loss_G: 0.012571 Loss_D_real: -0.020884 Loss_D_fake 0.002948
[1024/5000][395/535][105596] Loss_D: -0.023898 Loss_G: 0.011929 Loss_D_real: -0.023710 Loss_D_fake 0.000188
[1024/5000][400/535][105597] Loss_D: -0.023194 Loss_G: 0.015462 Loss_D_real: -0.019469 Loss_D_fake 0.003726
[1024/5000][405/535][105598] Loss_D: -0.022185 Loss_G: 0.002150 Loss_D_real: -0.011370 Loss_D_fake 0.010815
[1024/5000][410/535][105599] Loss_D: -0.022535 Loss_G: 0.009024 Loss_D_real: -0.013993 Loss_D_fake 0.008542
[1024/5000][415/535][105600] Loss_D: -0.022922 Loss_G: 0.008896 Loss_D_real: -0.022497 Loss_D_fake 0.000425
[1024/5000][420/535][105601] Loss_D: -0.022355 Loss_G: 0.018658 Loss_D_real: -0.030506 Loss_D_fake -0.008150
[1024/5000][425/535][105602] Loss_D: -0.022531 Loss_G: 0.019234 Loss_D_real: -0.020505 Loss_D_fake 0.002026
[1024/5000][430/535][105603] Loss_D: -0.024024 Loss_G: 0.000043 Loss_D_real: -0.024947 Loss_D_fake -0.000923
[1024/5000][435/535][105604] Loss_D: -0.019861 Loss_G: 0.033962 Loss_D_real: -0.023194 Loss_D_fake -0.003333
[1024/5000][440/535][105605] Loss_D: -0.022718 Loss_G: 0.001775 Loss_D_real: -0.015772 Loss_D_fake 0.006946
[1024/5000][445/535][105606] Loss_D: -0.021906 Loss_G: 0.007747 Loss_D_real: -0.025833 Loss_D_fake -0.003927
[1024/5000][450/535][105607] Loss_D: -0.021335 Loss_G: 0.018697 Loss_D_real: -0.040029 Loss_D_fake -0.018694
[1024/5000][455/535][105608] Loss_D: -0.022331 Loss_G: -0.005796 Loss_D_real: -0.005873 Loss_D_fake 0.016458
[1024/5000][460/535][105609] Loss_D: -0.022712 Loss_G: 0.018564 Loss_D_real: -0.032475 Loss_D_fake -0.009763
[1024/5000][465/535][105610] Loss_D: -0.022161 Loss_G: 0.007388 Loss_D_real: -0.023815 Loss_D_fake -0.001654
[1024/5000][470/535][105611] Loss_D: -0.021207 Loss_G: 0.013937 Loss_D_real: -0.038322 Loss_D_fake -0.017115
[1024/5000][475/535][105612] Loss_D: -0.023664 Loss_G: 0.000933 Loss_D_real: -0.022704 Loss_D_fake 0.000960
[1024/5000][480/535][105613] Loss_D: -0.022288 Loss_G: 0.035369 Loss_D_real: -0.032444 Loss_D_fake -0.010157
[1024/5000][485/535][105614] Loss_D: -0.023338 Loss_G: 0.011710 Loss_D_real: -0.020101 Loss_D_fake 0.003236
[1024/5000][490/535][105615] Loss_D: -0.022503 Loss_G: -0.000843 Loss_D_real: -0.016033 Loss_D_fake 0.006469
[1024/5000][495/535][105616] Loss_D: -0.023332 Loss_G: 0.011388 Loss_D_real: -0.033267 Loss_D_fake -0.009935
[1024/5000][500/535][105617] Loss_D: -0.021396 Loss_G: 0.017739 Loss_D_real: -0.022724 Loss_D_fake -0.001328
[1024/5000][505/535][105618] Loss_D: -0.020961 Loss_G: 0.019879 Loss_D_real: -0.027036 Loss_D_fake -0.006075
[1024/5000][510/535][105619] Loss_D: -0.023969 Loss_G: 0.000460 Loss_D_real: -0.018208 Loss_D_fake 0.005760
[1024/5000][515/535][105620] Loss_D: -0.021207 Loss_G: 0.030795 Loss_D_real: -0.041151 Loss_D_fake -0.019944
[1024/5000][520/535][105621] Loss_D: -0.022420 Loss_G: -0.012445 Loss_D_real: -0.019179 Loss_D_fake 0.003240
[1024/5000][525/535][105622] Loss_D: -0.022811 Loss_G: 0.008789 Loss_D_real: -0.018031 Loss_D_fake 0.004780
[1024/5000][530/535][105623] Loss_D: -0.024190 Loss_G: 0.002823 Loss_D_real: -0.020315 Loss_D_fake 0.003875
[1024/5000][535/535][105624] Loss_D: -0.022605 Loss_G: 0.011489 Loss_D_real: -0.014786 Loss_D_fake 0.007819
[1025/5000][5/535][105625] Loss_D: -0.023577 Loss_G: 0.011476 Loss_D_real: -0.012956 Loss_D_fake 0.010621
[1025/5000][10/535][105626] Loss_D: -0.020389 Loss_G: 0.026255 Loss_D_real: -0.040401 Loss_D_fake -0.020011
[1025/5000][15/535][105627] Loss_D: -0.023454 Loss_G: -0.008926 Loss_D_real: 0.001657 Loss_D_fake 0.025111
[1025/5000][20/535][105628] Loss_D: -0.022153 Loss_G: 0.011065 Loss_D_real: -0.029774 Loss_D_fake -0.007622
[1025/5000][25/535][105629] Loss_D: -0.021905 Loss_G: 0.000069 Loss_D_real: -0.009256 Loss_D_fake 0.012650
[1025/5000][30/535][105630] Loss_D: -0.023260 Loss_G: 0.023117 Loss_D_real: -0.025254 Loss_D_fake -0.001995
[1025/5000][35/535][105631] Loss_D: -0.024173 Loss_G: -0.007022 Loss_D_real: -0.009136 Loss_D_fake 0.015037
[1025/5000][40/535][105632] Loss_D: -0.022702 Loss_G: 0.005438 Loss_D_real: -0.015582 Loss_D_fake 0.007120
[1025/5000][45/535][105633] Loss_D: -0.021767 Loss_G: 0.012060 Loss_D_real: -0.041461 Loss_D_fake -0.019694
[1025/5000][50/535][105634] Loss_D: -0.022399 Loss_G: 0.005490 Loss_D_real: -0.022381 Loss_D_fake 0.000018
[1025/5000][55/535][105635] Loss_D: -0.023851 Loss_G: 0.005962 Loss_D_real: -0.012770 Loss_D_fake 0.011080
[1025/5000][60/535][105636] Loss_D: -0.022309 Loss_G: -0.009995 Loss_D_real: -0.014380 Loss_D_fake 0.007928
[1025/5000][65/535][105637] Loss_D: -0.022221 Loss_G: 0.006430 Loss_D_real: -0.014474 Loss_D_fake 0.007747
[1025/5000][70/535][105638] Loss_D: -0.022340 Loss_G: 0.000535 Loss_D_real: -0.022161 Loss_D_fake 0.000178
[1025/5000][75/535][105639] Loss_D: -0.022190 Loss_G: 0.007293 Loss_D_real: -0.017426 Loss_D_fake 0.004763
[1025/5000][80/535][105640] Loss_D: -0.021692 Loss_G: 0.026138 Loss_D_real: -0.029022 Loss_D_fake -0.007330
[1025/5000][85/535][105641] Loss_D: -0.020909 Loss_G: 0.019711 Loss_D_real: -0.033220 Loss_D_fake -0.012311
[1025/5000][90/535][105642] Loss_D: -0.022723 Loss_G: 0.008628 Loss_D_real: -0.027910 Loss_D_fake -0.005187
[1025/5000][95/535][105643] Loss_D: -0.022007 Loss_G: 0.001169 Loss_D_real: -0.011653 Loss_D_fake 0.010354
[1025/5000][100/535][105644] Loss_D: -0.021828 Loss_G: 0.002515 Loss_D_real: -0.012235 Loss_D_fake 0.009593
[1025/5000][105/535][105645] Loss_D: -0.022992 Loss_G: 0.001114 Loss_D_real: -0.015427 Loss_D_fake 0.007565
[1025/5000][110/535][105646] Loss_D: -0.021526 Loss_G: -0.004352 Loss_D_real: -0.013311 Loss_D_fake 0.008215
[1025/5000][115/535][105647] Loss_D: -0.022915 Loss_G: -0.008938 Loss_D_real: 0.001892 Loss_D_fake 0.024807
[1025/5000][120/535][105648] Loss_D: -0.021558 Loss_G: 0.004221 Loss_D_real: -0.018590 Loss_D_fake 0.002968
[1025/5000][125/535][105649] Loss_D: -0.021871 Loss_G: 0.009902 Loss_D_real: -0.029205 Loss_D_fake -0.007334
[1025/5000][130/535][105650] Loss_D: -0.021746 Loss_G: 0.014810 Loss_D_real: -0.037502 Loss_D_fake -0.015757
[1025/5000][135/535][105651] Loss_D: -0.021484 Loss_G: 0.024730 Loss_D_real: -0.029064 Loss_D_fake -0.007580
[1025/5000][140/535][105652] Loss_D: -0.021487 Loss_G: -0.012269 Loss_D_real: -0.002142 Loss_D_fake 0.019345
[1025/5000][145/535][105653] Loss_D: -0.021610 Loss_G: 0.016674 Loss_D_real: -0.027720 Loss_D_fake -0.006110
[1025/5000][150/535][105654] Loss_D: -0.022711 Loss_G: 0.009737 Loss_D_real: -0.027931 Loss_D_fake -0.005221
[1025/5000][155/535][105655] Loss_D: -0.021739 Loss_G: 0.025409 Loss_D_real: -0.027300 Loss_D_fake -0.005561
[1025/5000][160/535][105656] Loss_D: -0.023100 Loss_G: -0.007578 Loss_D_real: 0.000346 Loss_D_fake 0.023446
[1025/5000][165/535][105657] Loss_D: -0.022188 Loss_G: 0.017899 Loss_D_real: -0.030376 Loss_D_fake -0.008188
[1025/5000][170/535][105658] Loss_D: -0.021987 Loss_G: -0.006946 Loss_D_real: -0.014891 Loss_D_fake 0.007095
[1025/5000][175/535][105659] Loss_D: -0.023197 Loss_G: 0.014642 Loss_D_real: -0.016914 Loss_D_fake 0.006284
[1025/5000][180/535][105660] Loss_D: -0.022628 Loss_G: 0.013479 Loss_D_real: -0.021663 Loss_D_fake 0.000965
[1025/5000][185/535][105661] Loss_D: -0.024420 Loss_G: -0.000440 Loss_D_real: -0.015027 Loss_D_fake 0.009393
[1025/5000][190/535][105662] Loss_D: -0.021271 Loss_G: -0.013341 Loss_D_real: -0.005474 Loss_D_fake 0.015798
[1025/5000][195/535][105663] Loss_D: -0.022649 Loss_G: 0.006177 Loss_D_real: -0.012852 Loss_D_fake 0.009797
[1025/5000][200/535][105664] Loss_D: -0.021457 Loss_G: 0.020093 Loss_D_real: -0.030708 Loss_D_fake -0.009251
[1025/5000][205/535][105665] Loss_D: -0.023675 Loss_G: -0.000217 Loss_D_real: -0.008463 Loss_D_fake 0.015212
[1025/5000][210/535][105666] Loss_D: -0.023923 Loss_G: 0.002897 Loss_D_real: -0.013105 Loss_D_fake 0.010817
[1025/5000][215/535][105667] Loss_D: -0.022939 Loss_G: -0.004259 Loss_D_real: 0.005126 Loss_D_fake 0.028065
[1025/5000][220/535][105668] Loss_D: -0.022393 Loss_G: 0.013245 Loss_D_real: -0.022713 Loss_D_fake -0.000321
[1025/5000][225/535][105669] Loss_D: -0.022860 Loss_G: -0.006209 Loss_D_real: -0.017075 Loss_D_fake 0.005785
[1025/5000][230/535][105670] Loss_D: -0.023288 Loss_G: 0.002151 Loss_D_real: -0.026743 Loss_D_fake -0.003454
[1025/5000][235/535][105671] Loss_D: -0.024143 Loss_G: -0.006040 Loss_D_real: -0.018182 Loss_D_fake 0.005961
[1025/5000][240/535][105672] Loss_D: -0.023007 Loss_G: 0.003195 Loss_D_real: -0.025731 Loss_D_fake -0.002724
[1025/5000][245/535][105673] Loss_D: -0.022458 Loss_G: -0.004418 Loss_D_real: -0.007585 Loss_D_fake 0.014873
[1025/5000][250/535][105674] Loss_D: -0.022341 Loss_G: 0.011647 Loss_D_real: -0.016547 Loss_D_fake 0.005793
[1025/5000][255/535][105675] Loss_D: -0.024083 Loss_G: 0.016700 Loss_D_real: -0.014953 Loss_D_fake 0.009130
[1025/5000][260/535][105676] Loss_D: -0.023221 Loss_G: 0.025669 Loss_D_real: -0.025568 Loss_D_fake -0.002347
[1025/5000][265/535][105677] Loss_D: -0.023527 Loss_G: 0.001810 Loss_D_real: -0.014981 Loss_D_fake 0.008546
[1025/5000][270/535][105678] Loss_D: -0.023545 Loss_G: 0.002966 Loss_D_real: -0.023231 Loss_D_fake 0.000313
[1025/5000][275/535][105679] Loss_D: -0.020696 Loss_G: -0.014448 Loss_D_real: -0.006984 Loss_D_fake 0.013712
[1025/5000][280/535][105680] Loss_D: -0.024247 Loss_G: 0.004296 Loss_D_real: -0.013601 Loss_D_fake 0.010646
[1025/5000][285/535][105681] Loss_D: -0.021915 Loss_G: -0.011649 Loss_D_real: -0.003975 Loss_D_fake 0.017940
[1025/5000][290/535][105682] Loss_D: -0.023372 Loss_G: -0.005684 Loss_D_real: -0.009534 Loss_D_fake 0.013838
[1025/5000][295/535][105683] Loss_D: -0.022717 Loss_G: 0.017746 Loss_D_real: -0.026420 Loss_D_fake -0.003703
[1025/5000][300/535][105684] Loss_D: -0.022568 Loss_G: 0.026618 Loss_D_real: -0.028132 Loss_D_fake -0.005564
[1025/5000][305/535][105685] Loss_D: -0.021738 Loss_G: -0.011132 Loss_D_real: -0.001391 Loss_D_fake 0.020347
[1025/5000][310/535][105686] Loss_D: -0.021406 Loss_G: 0.005552 Loss_D_real: -0.019445 Loss_D_fake 0.001961
[1025/5000][315/535][105687] Loss_D: -0.022370 Loss_G: 0.005610 Loss_D_real: -0.021771 Loss_D_fake 0.000599
[1025/5000][320/535][105688] Loss_D: -0.020606 Loss_G: -0.006585 Loss_D_real: -0.003896 Loss_D_fake 0.016710
[1025/5000][325/535][105689] Loss_D: -0.022251 Loss_G: 0.014168 Loss_D_real: -0.022680 Loss_D_fake -0.000429
[1025/5000][330/535][105690] Loss_D: -0.022514 Loss_G: 0.008191 Loss_D_real: -0.024271 Loss_D_fake -0.001757
[1025/5000][335/535][105691] Loss_D: -0.022272 Loss_G: 0.012247 Loss_D_real: -0.020920 Loss_D_fake 0.001353
[1025/5000][340/535][105692] Loss_D: -0.022145 Loss_G: -0.012085 Loss_D_real: 0.000981 Loss_D_fake 0.023126
[1025/5000][345/535][105693] Loss_D: -0.022188 Loss_G: 0.003242 Loss_D_real: -0.014141 Loss_D_fake 0.008046
[1025/5000][350/535][105694] Loss_D: -0.022698 Loss_G: 0.009123 Loss_D_real: -0.021456 Loss_D_fake 0.001241
[1025/5000][355/535][105695] Loss_D: -0.022728 Loss_G: 0.011194 Loss_D_real: -0.020065 Loss_D_fake 0.002663
[1025/5000][360/535][105696] Loss_D: -0.023252 Loss_G: 0.026658 Loss_D_real: -0.026800 Loss_D_fake -0.003548
[1025/5000][365/535][105697] Loss_D: -0.021972 Loss_G: -0.004643 Loss_D_real: -0.006058 Loss_D_fake 0.015914
[1025/5000][370/535][105698] Loss_D: -0.021176 Loss_G: 0.012304 Loss_D_real: -0.030174 Loss_D_fake -0.008997
[1025/5000][375/535][105699] Loss_D: -0.022364 Loss_G: 0.010471 Loss_D_real: -0.018503 Loss_D_fake 0.003860
[1025/5000][380/535][105700] Loss_D: -0.023916 Loss_G: 0.013687 Loss_D_real: -0.019169 Loss_D_fake 0.004747
[1025/5000][385/535][105701] Loss_D: -0.022715 Loss_G: -0.000754 Loss_D_real: -0.019576 Loss_D_fake 0.003139
[1025/5000][390/535][105702] Loss_D: -0.022650 Loss_G: 0.006237 Loss_D_real: -0.022793 Loss_D_fake -0.000143
[1025/5000][395/535][105703] Loss_D: -0.024002 Loss_G: 0.005045 Loss_D_real: -0.023035 Loss_D_fake 0.000967
[1025/5000][400/535][105704] Loss_D: -0.024756 Loss_G: 0.006459 Loss_D_real: -0.010333 Loss_D_fake 0.014423
[1025/5000][405/535][105705] Loss_D: -0.023360 Loss_G: 0.003317 Loss_D_real: -0.016863 Loss_D_fake 0.006498
[1025/5000][410/535][105706] Loss_D: -0.023316 Loss_G: -0.007198 Loss_D_real: -0.025183 Loss_D_fake -0.001867
[1025/5000][415/535][105707] Loss_D: -0.022774 Loss_G: 0.011154 Loss_D_real: -0.019418 Loss_D_fake 0.003356
[1025/5000][420/535][105708] Loss_D: -0.024462 Loss_G: 0.012636 Loss_D_real: -0.019229 Loss_D_fake 0.005233
[1025/5000][425/535][105709] Loss_D: -0.023905 Loss_G: -0.002864 Loss_D_real: -0.028084 Loss_D_fake -0.004179
[1025/5000][430/535][105710] Loss_D: -0.023038 Loss_G: 0.019922 Loss_D_real: -0.034356 Loss_D_fake -0.011318
[1025/5000][435/535][105711] Loss_D: -0.022998 Loss_G: -0.004108 Loss_D_real: -0.013684 Loss_D_fake 0.009314
[1025/5000][440/535][105712] Loss_D: -0.023120 Loss_G: 0.015769 Loss_D_real: -0.028065 Loss_D_fake -0.004946
[1025/5000][445/535][105713] Loss_D: -0.023284 Loss_G: 0.005447 Loss_D_real: -0.013161 Loss_D_fake 0.010124
[1025/5000][450/535][105714] Loss_D: -0.023915 Loss_G: -0.007560 Loss_D_real: -0.013246 Loss_D_fake 0.010669
[1025/5000][455/535][105715] Loss_D: -0.022967 Loss_G: 0.013912 Loss_D_real: -0.020518 Loss_D_fake 0.002450
[1025/5000][460/535][105716] Loss_D: -0.022117 Loss_G: 0.007556 Loss_D_real: -0.023486 Loss_D_fake -0.001369
[1025/5000][465/535][105717] Loss_D: -0.020849 Loss_G: 0.020452 Loss_D_real: -0.022021 Loss_D_fake -0.001172
[1025/5000][470/535][105718] Loss_D: -0.021904 Loss_G: 0.003130 Loss_D_real: -0.017368 Loss_D_fake 0.004537
[1025/5000][475/535][105719] Loss_D: -0.023192 Loss_G: 0.013452 Loss_D_real: -0.023838 Loss_D_fake -0.000646
[1025/5000][480/535][105720] Loss_D: -0.022873 Loss_G: 0.006161 Loss_D_real: -0.022163 Loss_D_fake 0.000710
[1025/5000][485/535][105721] Loss_D: -0.022522 Loss_G: 0.007819 Loss_D_real: -0.015131 Loss_D_fake 0.007391
[1025/5000][490/535][105722] Loss_D: -0.022768 Loss_G: -0.003861 Loss_D_real: -0.013953 Loss_D_fake 0.008815
[1025/5000][495/535][105723] Loss_D: -0.022437 Loss_G: -0.013286 Loss_D_real: -0.006035 Loss_D_fake 0.016402
[1025/5000][500/535][105724] Loss_D: -0.022212 Loss_G: -0.005806 Loss_D_real: -0.015905 Loss_D_fake 0.006307
[1025/5000][505/535][105725] Loss_D: -0.021886 Loss_G: 0.003894 Loss_D_real: -0.027288 Loss_D_fake -0.005402
[1025/5000][510/535][105726] Loss_D: -0.022243 Loss_G: -0.005269 Loss_D_real: -0.014010 Loss_D_fake 0.008233
[1025/5000][515/535][105727] Loss_D: -0.022803 Loss_G: 0.003772 Loss_D_real: -0.001484 Loss_D_fake 0.021319
[1025/5000][520/535][105728] Loss_D: -0.023633 Loss_G: 0.015775 Loss_D_real: -0.020567 Loss_D_fake 0.003066
[1025/5000][525/535][105729] Loss_D: -0.022752 Loss_G: 0.022238 Loss_D_real: -0.017607 Loss_D_fake 0.005144
[1025/5000][530/535][105730] Loss_D: -0.021180 Loss_G: 0.014427 Loss_D_real: -0.025300 Loss_D_fake -0.004121
[1025/5000][535/535][105731] Loss_D: -0.026719 Loss_G: -0.002231 Loss_D_real: -0.024908 Loss_D_fake 0.001811
[1026/5000][5/535][105732] Loss_D: -0.022017 Loss_G: 0.034606 Loss_D_real: -0.033798 Loss_D_fake -0.011781
[1026/5000][10/535][105733] Loss_D: -0.022663 Loss_G: -0.003217 Loss_D_real: -0.023449 Loss_D_fake -0.000787
[1026/5000][15/535][105734] Loss_D: -0.023060 Loss_G: 0.018160 Loss_D_real: -0.024061 Loss_D_fake -0.001000
[1026/5000][20/535][105735] Loss_D: -0.021730 Loss_G: -0.011344 Loss_D_real: -0.012461 Loss_D_fake 0.009270
[1026/5000][25/535][105736] Loss_D: -0.022030 Loss_G: 0.013159 Loss_D_real: -0.026165 Loss_D_fake -0.004136
[1026/5000][30/535][105737] Loss_D: -0.022924 Loss_G: 0.004072 Loss_D_real: -0.017154 Loss_D_fake 0.005769
[1026/5000][35/535][105738] Loss_D: -0.023402 Loss_G: 0.016251 Loss_D_real: -0.021727 Loss_D_fake 0.001675
[1026/5000][40/535][105739] Loss_D: -0.024214 Loss_G: 0.019393 Loss_D_real: -0.017394 Loss_D_fake 0.006820
[1026/5000][45/535][105740] Loss_D: -0.023710 Loss_G: 0.009345 Loss_D_real: -0.019936 Loss_D_fake 0.003775
[1026/5000][50/535][105741] Loss_D: -0.023416 Loss_G: 0.007578 Loss_D_real: -0.007703 Loss_D_fake 0.015713
[1026/5000][55/535][105742] Loss_D: -0.022896 Loss_G: 0.002717 Loss_D_real: -0.007551 Loss_D_fake 0.015344
[1026/5000][60/535][105743] Loss_D: -0.021422 Loss_G: 0.024682 Loss_D_real: -0.033405 Loss_D_fake -0.011983
[1026/5000][65/535][105744] Loss_D: -0.023003 Loss_G: 0.004973 Loss_D_real: -0.007537 Loss_D_fake 0.015466
[1026/5000][70/535][105745] Loss_D: -0.021744 Loss_G: -0.003045 Loss_D_real: -0.008993 Loss_D_fake 0.012751
[1026/5000][75/535][105746] Loss_D: -0.022889 Loss_G: 0.018940 Loss_D_real: -0.023711 Loss_D_fake -0.000822
[1026/5000][80/535][105747] Loss_D: -0.022669 Loss_G: 0.003725 Loss_D_real: -0.018917 Loss_D_fake 0.003752
[1026/5000][85/535][105748] Loss_D: -0.022232 Loss_G: 0.017463 Loss_D_real: -0.031305 Loss_D_fake -0.009073
[1026/5000][90/535][105749] Loss_D: -0.022118 Loss_G: -0.001443 Loss_D_real: -0.014969 Loss_D_fake 0.007149
[1026/5000][95/535][105750] Loss_D: -0.022074 Loss_G: -0.001525 Loss_D_real: -0.019469 Loss_D_fake 0.002605
[1026/5000][100/535][105751] Loss_D: -0.021763 Loss_G: 0.022289 Loss_D_real: -0.025497 Loss_D_fake -0.003734
[1026/5000][105/535][105752] Loss_D: -0.023300 Loss_G: 0.003359 Loss_D_real: -0.027725 Loss_D_fake -0.004426
[1026/5000][110/535][105753] Loss_D: -0.021441 Loss_G: -0.007374 Loss_D_real: -0.015064 Loss_D_fake 0.006377
[1026/5000][115/535][105754] Loss_D: -0.020865 Loss_G: 0.023627 Loss_D_real: -0.038841 Loss_D_fake -0.017975
[1026/5000][120/535][105755] Loss_D: -0.021909 Loss_G: -0.007888 Loss_D_real: -0.008065 Loss_D_fake 0.013844
[1026/5000][125/535][105756] Loss_D: -0.022499 Loss_G: 0.010633 Loss_D_real: -0.024494 Loss_D_fake -0.001995
[1026/5000][130/535][105757] Loss_D: -0.022957 Loss_G: 0.007610 Loss_D_real: -0.018024 Loss_D_fake 0.004933
[1026/5000][135/535][105758] Loss_D: -0.020576 Loss_G: 0.018926 Loss_D_real: -0.028005 Loss_D_fake -0.007429
[1026/5000][140/535][105759] Loss_D: -0.021459 Loss_G: 0.007955 Loss_D_real: -0.022417 Loss_D_fake -0.000959
[1026/5000][145/535][105760] Loss_D: -0.020545 Loss_G: 0.018194 Loss_D_real: -0.019414 Loss_D_fake 0.001131
[1026/5000][150/535][105761] Loss_D: -0.021651 Loss_G: -0.003460 Loss_D_real: -0.011252 Loss_D_fake 0.010398
[1026/5000][155/535][105762] Loss_D: -0.021281 Loss_G: 0.006712 Loss_D_real: -0.020232 Loss_D_fake 0.001049
[1026/5000][160/535][105763] Loss_D: -0.023729 Loss_G: 0.010817 Loss_D_real: -0.009645 Loss_D_fake 0.014084
[1026/5000][165/535][105764] Loss_D: -0.024339 Loss_G: -0.001481 Loss_D_real: -0.016132 Loss_D_fake 0.008207
[1026/5000][170/535][105765] Loss_D: -0.023054 Loss_G: 0.012395 Loss_D_real: -0.022581 Loss_D_fake 0.000473
[1026/5000][175/535][105766] Loss_D: -0.022219 Loss_G: 0.003584 Loss_D_real: -0.007614 Loss_D_fake 0.014605
[1026/5000][180/535][105767] Loss_D: -0.023133 Loss_G: 0.003477 Loss_D_real: -0.018384 Loss_D_fake 0.004749
[1026/5000][185/535][105768] Loss_D: -0.022984 Loss_G: 0.012891 Loss_D_real: -0.018089 Loss_D_fake 0.004895
[1026/5000][190/535][105769] Loss_D: -0.022091 Loss_G: 0.022049 Loss_D_real: -0.031798 Loss_D_fake -0.009707
[1026/5000][195/535][105770] Loss_D: -0.023999 Loss_G: 0.001603 Loss_D_real: -0.008697 Loss_D_fake 0.015302
[1026/5000][200/535][105771] Loss_D: -0.024546 Loss_G: 0.018475 Loss_D_real: -0.031660 Loss_D_fake -0.007114
[1026/5000][205/535][105772] Loss_D: -0.022314 Loss_G: 0.011183 Loss_D_real: -0.022274 Loss_D_fake 0.000040
[1026/5000][210/535][105773] Loss_D: -0.023468 Loss_G: 0.004854 Loss_D_real: -0.023073 Loss_D_fake 0.000395
[1026/5000][215/535][105774] Loss_D: -0.023363 Loss_G: -0.008820 Loss_D_real: -0.007269 Loss_D_fake 0.016094
[1026/5000][220/535][105775] Loss_D: -0.022367 Loss_G: 0.016380 Loss_D_real: -0.030876 Loss_D_fake -0.008509
[1026/5000][225/535][105776] Loss_D: -0.022315 Loss_G: 0.031264 Loss_D_real: -0.041438 Loss_D_fake -0.019123
[1026/5000][230/535][105777] Loss_D: -0.023021 Loss_G: -0.015853 Loss_D_real: -0.005056 Loss_D_fake 0.017965
[1026/5000][235/535][105778] Loss_D: -0.022807 Loss_G: 0.032714 Loss_D_real: -0.024465 Loss_D_fake -0.001658
[1026/5000][240/535][105779] Loss_D: -0.022945 Loss_G: 0.019313 Loss_D_real: -0.025344 Loss_D_fake -0.002399
[1026/5000][245/535][105780] Loss_D: -0.020808 Loss_G: 0.011689 Loss_D_real: -0.035722 Loss_D_fake -0.014914
[1026/5000][250/535][105781] Loss_D: -0.021735 Loss_G: 0.016426 Loss_D_real: -0.024947 Loss_D_fake -0.003213
[1026/5000][255/535][105782] Loss_D: -0.022850 Loss_G: 0.016161 Loss_D_real: -0.030296 Loss_D_fake -0.007446
[1026/5000][260/535][105783] Loss_D: -0.022960 Loss_G: 0.022225 Loss_D_real: -0.025013 Loss_D_fake -0.002052
[1026/5000][265/535][105784] Loss_D: -0.022819 Loss_G: 0.005069 Loss_D_real: -0.012558 Loss_D_fake 0.010261
[1026/5000][270/535][105785] Loss_D: -0.022562 Loss_G: -0.003668 Loss_D_real: -0.021729 Loss_D_fake 0.000833
[1026/5000][275/535][105786] Loss_D: -0.022009 Loss_G: 0.023784 Loss_D_real: -0.029769 Loss_D_fake -0.007760
[1026/5000][280/535][105787] Loss_D: -0.024187 Loss_G: 0.011731 Loss_D_real: -0.017078 Loss_D_fake 0.007109
[1026/5000][285/535][105788] Loss_D: -0.022492 Loss_G: 0.004753 Loss_D_real: -0.011412 Loss_D_fake 0.011081
[1026/5000][290/535][105789] Loss_D: -0.022794 Loss_G: 0.004081 Loss_D_real: -0.022569 Loss_D_fake 0.000226
[1026/5000][295/535][105790] Loss_D: -0.021527 Loss_G: 0.032520 Loss_D_real: -0.034498 Loss_D_fake -0.012971
[1026/5000][300/535][105791] Loss_D: -0.022883 Loss_G: 0.003903 Loss_D_real: -0.019433 Loss_D_fake 0.003450
[1026/5000][305/535][105792] Loss_D: -0.022961 Loss_G: 0.006546 Loss_D_real: -0.020247 Loss_D_fake 0.002713
[1026/5000][310/535][105793] Loss_D: -0.023741 Loss_G: 0.026218 Loss_D_real: -0.028240 Loss_D_fake -0.004500
[1026/5000][315/535][105794] Loss_D: -0.024868 Loss_G: -0.011142 Loss_D_real: -0.020696 Loss_D_fake 0.004172
[1026/5000][320/535][105795] Loss_D: -0.022346 Loss_G: 0.017616 Loss_D_real: -0.031586 Loss_D_fake -0.009240
[1026/5000][325/535][105796] Loss_D: -0.023117 Loss_G: 0.009402 Loss_D_real: -0.023477 Loss_D_fake -0.000359
[1026/5000][330/535][105797] Loss_D: -0.023133 Loss_G: 0.016897 Loss_D_real: -0.030499 Loss_D_fake -0.007365
[1026/5000][335/535][105798] Loss_D: -0.021812 Loss_G: 0.021498 Loss_D_real: -0.034557 Loss_D_fake -0.012745
[1026/5000][340/535][105799] Loss_D: -0.024439 Loss_G: -0.001344 Loss_D_real: -0.024377 Loss_D_fake 0.000062
[1026/5000][345/535][105800] Loss_D: -0.021903 Loss_G: 0.012340 Loss_D_real: -0.029602 Loss_D_fake -0.007699
[1026/5000][350/535][105801] Loss_D: -0.023143 Loss_G: 0.009495 Loss_D_real: -0.018785 Loss_D_fake 0.004359
[1026/5000][355/535][105802] Loss_D: -0.022849 Loss_G: 0.014314 Loss_D_real: -0.029631 Loss_D_fake -0.006782
[1026/5000][360/535][105803] Loss_D: -0.023136 Loss_G: 0.013440 Loss_D_real: -0.026535 Loss_D_fake -0.003399
[1026/5000][365/535][105804] Loss_D: -0.023149 Loss_G: 0.006501 Loss_D_real: -0.018390 Loss_D_fake 0.004759
[1026/5000][370/535][105805] Loss_D: -0.022110 Loss_G: 0.013473 Loss_D_real: -0.029303 Loss_D_fake -0.007194
[1026/5000][375/535][105806] Loss_D: -0.021750 Loss_G: 0.010299 Loss_D_real: -0.022805 Loss_D_fake -0.001056
[1026/5000][380/535][105807] Loss_D: -0.024236 Loss_G: 0.002470 Loss_D_real: -0.019316 Loss_D_fake 0.004919
[1026/5000][385/535][105808] Loss_D: -0.023370 Loss_G: 0.017262 Loss_D_real: -0.028365 Loss_D_fake -0.004995
[1026/5000][390/535][105809] Loss_D: -0.024353 Loss_G: 0.006430 Loss_D_real: -0.014594 Loss_D_fake 0.009760
[1026/5000][395/535][105810] Loss_D: -0.023675 Loss_G: 0.006475 Loss_D_real: -0.008259 Loss_D_fake 0.015416
[1026/5000][400/535][105811] Loss_D: -0.021363 Loss_G: 0.018711 Loss_D_real: -0.034798 Loss_D_fake -0.013435
[1026/5000][405/535][105812] Loss_D: -0.023626 Loss_G: -0.001795 Loss_D_real: -0.017821 Loss_D_fake 0.005806
[1026/5000][410/535][105813] Loss_D: -0.020599 Loss_G: -0.004852 Loss_D_real: -0.008945 Loss_D_fake 0.011654
[1026/5000][415/535][105814] Loss_D: -0.021561 Loss_G: 0.019821 Loss_D_real: -0.028247 Loss_D_fake -0.006686
[1026/5000][420/535][105815] Loss_D: -0.024030 Loss_G: 0.010975 Loss_D_real: -0.023215 Loss_D_fake 0.000815
[1026/5000][425/535][105816] Loss_D: -0.021726 Loss_G: 0.023190 Loss_D_real: -0.032829 Loss_D_fake -0.011103
[1026/5000][430/535][105817] Loss_D: -0.021507 Loss_G: 0.004591 Loss_D_real: -0.015529 Loss_D_fake 0.005978
[1026/5000][435/535][105818] Loss_D: -0.022593 Loss_G: -0.004439 Loss_D_real: -0.023466 Loss_D_fake -0.000873
[1026/5000][440/535][105819] Loss_D: -0.021833 Loss_G: 0.018921 Loss_D_real: -0.025046 Loss_D_fake -0.003212
[1026/5000][445/535][105820] Loss_D: -0.022972 Loss_G: -0.009757 Loss_D_real: -0.014535 Loss_D_fake 0.008438
[1026/5000][450/535][105821] Loss_D: -0.022692 Loss_G: 0.002299 Loss_D_real: -0.003409 Loss_D_fake 0.019283
[1026/5000][455/535][105822] Loss_D: -0.021302 Loss_G: -0.013828 Loss_D_real: -0.001774 Loss_D_fake 0.019528
[1026/5000][460/535][105823] Loss_D: -0.023528 Loss_G: 0.013980 Loss_D_real: -0.016461 Loss_D_fake 0.007067
[1026/5000][465/535][105824] Loss_D: -0.022081 Loss_G: 0.006416 Loss_D_real: -0.012883 Loss_D_fake 0.009198
[1026/5000][470/535][105825] Loss_D: -0.022436 Loss_G: 0.025528 Loss_D_real: -0.028444 Loss_D_fake -0.006007
[1026/5000][475/535][105826] Loss_D: -0.022858 Loss_G: -0.009323 Loss_D_real: -0.016932 Loss_D_fake 0.005927
[1026/5000][480/535][105827] Loss_D: -0.021521 Loss_G: -0.011460 Loss_D_real: -0.007625 Loss_D_fake 0.013896
[1026/5000][485/535][105828] Loss_D: -0.022488 Loss_G: -0.004552 Loss_D_real: -0.005140 Loss_D_fake 0.017348
[1026/5000][490/535][105829] Loss_D: -0.024305 Loss_G: 0.003838 Loss_D_real: -0.009797 Loss_D_fake 0.014508
[1026/5000][495/535][105830] Loss_D: -0.023033 Loss_G: 0.002304 Loss_D_real: -0.017948 Loss_D_fake 0.005085
[1026/5000][500/535][105831] Loss_D: -0.021556 Loss_G: 0.012004 Loss_D_real: -0.018970 Loss_D_fake 0.002586
[1026/5000][505/535][105832] Loss_D: -0.023199 Loss_G: 0.011719 Loss_D_real: -0.018492 Loss_D_fake 0.004707
[1026/5000][510/535][105833] Loss_D: -0.022574 Loss_G: 0.015750 Loss_D_real: -0.035843 Loss_D_fake -0.013269
[1026/5000][515/535][105834] Loss_D: -0.022021 Loss_G: 0.004476 Loss_D_real: -0.014878 Loss_D_fake 0.007142
[1026/5000][520/535][105835] Loss_D: -0.022168 Loss_G: 0.008012 Loss_D_real: -0.021455 Loss_D_fake 0.000712
[1026/5000][525/535][105836] Loss_D: -0.022060 Loss_G: 0.015388 Loss_D_real: -0.021905 Loss_D_fake 0.000155
[1026/5000][530/535][105837] Loss_D: -0.022227 Loss_G: 0.013788 Loss_D_real: -0.019452 Loss_D_fake 0.002775
[1026/5000][535/535][105838] Loss_D: -0.018520 Loss_G: 0.023338 Loss_D_real: -0.010268 Loss_D_fake 0.008252
[1027/5000][5/535][105839] Loss_D: -0.022840 Loss_G: 0.002265 Loss_D_real: -0.022611 Loss_D_fake 0.000229
[1027/5000][10/535][105840] Loss_D: -0.021801 Loss_G: -0.015174 Loss_D_real: -0.001104 Loss_D_fake 0.020697
[1027/5000][15/535][105841] Loss_D: -0.021155 Loss_G: 0.021984 Loss_D_real: -0.035611 Loss_D_fake -0.014455
[1027/5000][20/535][105842] Loss_D: -0.022798 Loss_G: -0.000678 Loss_D_real: -0.014805 Loss_D_fake 0.007993
[1027/5000][25/535][105843] Loss_D: -0.022416 Loss_G: -0.001655 Loss_D_real: -0.016327 Loss_D_fake 0.006089
[1027/5000][30/535][105844] Loss_D: -0.022837 Loss_G: 0.006769 Loss_D_real: -0.020255 Loss_D_fake 0.002582
[1027/5000][35/535][105845] Loss_D: -0.024008 Loss_G: 0.008718 Loss_D_real: -0.011669 Loss_D_fake 0.012339
[1027/5000][40/535][105846] Loss_D: -0.021928 Loss_G: 0.018779 Loss_D_real: -0.034367 Loss_D_fake -0.012439
[1027/5000][45/535][105847] Loss_D: -0.023076 Loss_G: -0.007391 Loss_D_real: -0.016161 Loss_D_fake 0.006915
[1027/5000][50/535][105848] Loss_D: -0.023463 Loss_G: 0.003345 Loss_D_real: -0.025027 Loss_D_fake -0.001564
[1027/5000][55/535][105849] Loss_D: -0.023170 Loss_G: 0.007346 Loss_D_real: -0.027908 Loss_D_fake -0.004737
[1027/5000][60/535][105850] Loss_D: -0.022250 Loss_G: 0.012876 Loss_D_real: -0.023682 Loss_D_fake -0.001432
[1027/5000][65/535][105851] Loss_D: -0.022921 Loss_G: 0.034171 Loss_D_real: -0.026287 Loss_D_fake -0.003366
[1027/5000][70/535][105852] Loss_D: -0.022229 Loss_G: -0.010274 Loss_D_real: -0.012869 Loss_D_fake 0.009360
[1027/5000][75/535][105853] Loss_D: -0.021858 Loss_G: -0.000644 Loss_D_real: -0.013540 Loss_D_fake 0.008318
[1027/5000][80/535][105854] Loss_D: -0.021950 Loss_G: -0.002426 Loss_D_real: -0.025654 Loss_D_fake -0.003704
[1027/5000][85/535][105855] Loss_D: -0.023278 Loss_G: 0.022110 Loss_D_real: -0.019638 Loss_D_fake 0.003640
[1027/5000][90/535][105856] Loss_D: -0.023766 Loss_G: -0.003672 Loss_D_real: -0.010492 Loss_D_fake 0.013273
[1027/5000][95/535][105857] Loss_D: -0.023338 Loss_G: -0.014149 Loss_D_real: -0.011118 Loss_D_fake 0.012220
[1027/5000][100/535][105858] Loss_D: -0.021734 Loss_G: 0.026758 Loss_D_real: -0.019023 Loss_D_fake 0.002711
[1027/5000][105/535][105859] Loss_D: -0.022398 Loss_G: -0.008521 Loss_D_real: -0.015594 Loss_D_fake 0.006804
[1027/5000][110/535][105860] Loss_D: -0.023305 Loss_G: 0.019517 Loss_D_real: -0.029589 Loss_D_fake -0.006284
[1027/5000][115/535][105861] Loss_D: -0.022092 Loss_G: -0.004989 Loss_D_real: -0.012568 Loss_D_fake 0.009524
[1027/5000][120/535][105862] Loss_D: -0.023798 Loss_G: 0.015397 Loss_D_real: -0.026086 Loss_D_fake -0.002288
[1027/5000][125/535][105863] Loss_D: -0.022193 Loss_G: 0.011169 Loss_D_real: -0.026446 Loss_D_fake -0.004254
[1027/5000][130/535][105864] Loss_D: -0.022438 Loss_G: -0.009123 Loss_D_real: -0.012796 Loss_D_fake 0.009642
[1027/5000][135/535][105865] Loss_D: -0.020732 Loss_G: 0.026092 Loss_D_real: -0.032488 Loss_D_fake -0.011756
[1027/5000][140/535][105866] Loss_D: -0.021862 Loss_G: -0.015442 Loss_D_real: -0.010135 Loss_D_fake 0.011728
[1027/5000][145/535][105867] Loss_D: -0.021960 Loss_G: 0.027162 Loss_D_real: -0.023941 Loss_D_fake -0.001981
[1027/5000][150/535][105868] Loss_D: -0.022552 Loss_G: 0.010169 Loss_D_real: -0.021327 Loss_D_fake 0.001225
[1027/5000][155/535][105869] Loss_D: -0.022312 Loss_G: 0.031233 Loss_D_real: -0.030600 Loss_D_fake -0.008289
[1027/5000][160/535][105870] Loss_D: -0.022148 Loss_G: -0.004602 Loss_D_real: -0.008119 Loss_D_fake 0.014029
[1027/5000][165/535][105871] Loss_D: -0.023168 Loss_G: 0.013124 Loss_D_real: -0.021471 Loss_D_fake 0.001697
[1027/5000][170/535][105872] Loss_D: -0.023691 Loss_G: 0.018273 Loss_D_real: -0.032861 Loss_D_fake -0.009170
[1027/5000][175/535][105873] Loss_D: -0.022755 Loss_G: 0.001273 Loss_D_real: -0.018464 Loss_D_fake 0.004291
[1027/5000][180/535][105874] Loss_D: -0.021051 Loss_G: 0.019603 Loss_D_real: -0.027576 Loss_D_fake -0.006526
[1027/5000][185/535][105875] Loss_D: -0.023159 Loss_G: -0.013951 Loss_D_real: -0.010178 Loss_D_fake 0.012981
[1027/5000][190/535][105876] Loss_D: -0.022275 Loss_G: 0.007853 Loss_D_real: -0.019565 Loss_D_fake 0.002710
[1027/5000][195/535][105877] Loss_D: -0.022467 Loss_G: 0.012492 Loss_D_real: -0.021628 Loss_D_fake 0.000839
[1027/5000][200/535][105878] Loss_D: -0.023863 Loss_G: 0.002352 Loss_D_real: -0.015905 Loss_D_fake 0.007957
[1027/5000][205/535][105879] Loss_D: -0.022722 Loss_G: 0.002994 Loss_D_real: -0.013589 Loss_D_fake 0.009133
[1027/5000][210/535][105880] Loss_D: -0.023520 Loss_G: 0.008082 Loss_D_real: -0.015888 Loss_D_fake 0.007632
[1027/5000][215/535][105881] Loss_D: -0.022229 Loss_G: -0.003890 Loss_D_real: -0.008354 Loss_D_fake 0.013875
[1027/5000][220/535][105882] Loss_D: -0.021738 Loss_G: 0.009073 Loss_D_real: -0.012868 Loss_D_fake 0.008870
[1027/5000][225/535][105883] Loss_D: -0.022944 Loss_G: 0.005529 Loss_D_real: -0.026136 Loss_D_fake -0.003193
[1027/5000][230/535][105884] Loss_D: -0.022301 Loss_G: -0.002669 Loss_D_real: -0.009012 Loss_D_fake 0.013289
[1027/5000][235/535][105885] Loss_D: -0.022411 Loss_G: 0.016769 Loss_D_real: -0.021790 Loss_D_fake 0.000620
[1027/5000][240/535][105886] Loss_D: -0.024081 Loss_G: 0.007371 Loss_D_real: -0.010683 Loss_D_fake 0.013397
[1027/5000][245/535][105887] Loss_D: -0.022209 Loss_G: 0.015113 Loss_D_real: -0.033275 Loss_D_fake -0.011066
[1027/5000][250/535][105888] Loss_D: -0.023452 Loss_G: -0.006101 Loss_D_real: 0.001815 Loss_D_fake 0.025267
[1027/5000][255/535][105889] Loss_D: -0.020532 Loss_G: 0.026994 Loss_D_real: -0.027932 Loss_D_fake -0.007401
[1027/5000][260/535][105890] Loss_D: -0.021336 Loss_G: 0.003989 Loss_D_real: -0.024667 Loss_D_fake -0.003331
[1027/5000][265/535][105891] Loss_D: -0.022704 Loss_G: 0.009296 Loss_D_real: -0.018197 Loss_D_fake 0.004507
[1027/5000][270/535][105892] Loss_D: -0.023228 Loss_G: 0.013878 Loss_D_real: -0.027678 Loss_D_fake -0.004450
[1027/5000][275/535][105893] Loss_D: -0.021960 Loss_G: -0.015133 Loss_D_real: -0.000622 Loss_D_fake 0.021338
[1027/5000][280/535][105894] Loss_D: -0.021691 Loss_G: 0.007667 Loss_D_real: -0.016548 Loss_D_fake 0.005143
[1027/5000][285/535][105895] Loss_D: -0.023023 Loss_G: 0.017739 Loss_D_real: -0.021665 Loss_D_fake 0.001358
[1027/5000][290/535][105896] Loss_D: -0.023070 Loss_G: -0.003126 Loss_D_real: -0.013581 Loss_D_fake 0.009489
[1027/5000][295/535][105897] Loss_D: -0.023195 Loss_G: 0.019223 Loss_D_real: -0.021774 Loss_D_fake 0.001421
[1027/5000][300/535][105898] Loss_D: -0.023120 Loss_G: 0.025171 Loss_D_real: -0.035124 Loss_D_fake -0.012004
[1027/5000][305/535][105899] Loss_D: -0.023262 Loss_G: 0.013223 Loss_D_real: -0.021676 Loss_D_fake 0.001586
[1027/5000][310/535][105900] Loss_D: -0.020769 Loss_G: -0.003447 Loss_D_real: -0.009021 Loss_D_fake 0.011749
[1027/5000][315/535][105901] Loss_D: -0.022419 Loss_G: 0.022991 Loss_D_real: -0.031852 Loss_D_fake -0.009433
[1027/5000][320/535][105902] Loss_D: -0.022553 Loss_G: 0.016042 Loss_D_real: -0.024167 Loss_D_fake -0.001614
[1027/5000][325/535][105903] Loss_D: -0.023681 Loss_G: 0.010891 Loss_D_real: -0.021334 Loss_D_fake 0.002347
[1027/5000][330/535][105904] Loss_D: -0.022865 Loss_G: 0.005311 Loss_D_real: -0.017178 Loss_D_fake 0.005686
[1027/5000][335/535][105905] Loss_D: -0.023015 Loss_G: 0.003233 Loss_D_real: -0.019123 Loss_D_fake 0.003892
[1027/5000][340/535][105906] Loss_D: -0.021868 Loss_G: -0.012659 Loss_D_real: -0.001025 Loss_D_fake 0.020844
[1027/5000][345/535][105907] Loss_D: -0.022465 Loss_G: 0.025322 Loss_D_real: -0.026379 Loss_D_fake -0.003914
[1027/5000][350/535][105908] Loss_D: -0.021183 Loss_G: 0.018241 Loss_D_real: -0.032289 Loss_D_fake -0.011106
[1027/5000][355/535][105909] Loss_D: -0.023575 Loss_G: 0.011288 Loss_D_real: -0.019494 Loss_D_fake 0.004082
[1027/5000][360/535][105910] Loss_D: -0.021201 Loss_G: 0.020571 Loss_D_real: -0.033081 Loss_D_fake -0.011880
[1027/5000][365/535][105911] Loss_D: -0.022778 Loss_G: 0.014279 Loss_D_real: -0.027799 Loss_D_fake -0.005021
[1027/5000][370/535][105912] Loss_D: -0.022589 Loss_G: 0.010422 Loss_D_real: -0.019924 Loss_D_fake 0.002665
[1027/5000][375/535][105913] Loss_D: -0.023021 Loss_G: -0.010553 Loss_D_real: -0.005471 Loss_D_fake 0.017549
[1027/5000][380/535][105914] Loss_D: -0.021697 Loss_G: -0.006638 Loss_D_real: -0.015479 Loss_D_fake 0.006219
[1027/5000][385/535][105915] Loss_D: -0.021220 Loss_G: 0.012572 Loss_D_real: -0.023044 Loss_D_fake -0.001824
[1027/5000][390/535][105916] Loss_D: -0.021451 Loss_G: 0.024872 Loss_D_real: -0.023994 Loss_D_fake -0.002543
[1027/5000][395/535][105917] Loss_D: -0.021324 Loss_G: 0.022860 Loss_D_real: -0.031901 Loss_D_fake -0.010576
[1027/5000][400/535][105918] Loss_D: -0.023414 Loss_G: 0.005184 Loss_D_real: -0.017309 Loss_D_fake 0.006105
[1027/5000][405/535][105919] Loss_D: -0.022518 Loss_G: -0.003840 Loss_D_real: -0.004697 Loss_D_fake 0.017821
[1027/5000][410/535][105920] Loss_D: -0.023580 Loss_G: 0.021007 Loss_D_real: -0.025598 Loss_D_fake -0.002017
[1027/5000][415/535][105921] Loss_D: -0.023633 Loss_G: 0.000678 Loss_D_real: -0.023449 Loss_D_fake 0.000184
[1027/5000][420/535][105922] Loss_D: -0.023306 Loss_G: 0.005012 Loss_D_real: -0.018219 Loss_D_fake 0.005087
[1027/5000][425/535][105923] Loss_D: -0.023195 Loss_G: 0.021965 Loss_D_real: -0.017213 Loss_D_fake 0.005983
[1027/5000][430/535][105924] Loss_D: -0.023020 Loss_G: 0.011596 Loss_D_real: -0.029510 Loss_D_fake -0.006490
[1027/5000][435/535][105925] Loss_D: -0.023145 Loss_G: -0.007041 Loss_D_real: -0.017362 Loss_D_fake 0.005783
[1027/5000][440/535][105926] Loss_D: -0.024213 Loss_G: 0.019766 Loss_D_real: -0.029100 Loss_D_fake -0.004888
[1027/5000][445/535][105927] Loss_D: -0.021919 Loss_G: 0.005918 Loss_D_real: -0.020507 Loss_D_fake 0.001412
[1027/5000][450/535][105928] Loss_D: -0.023679 Loss_G: -0.001373 Loss_D_real: -0.026994 Loss_D_fake -0.003315
[1027/5000][455/535][105929] Loss_D: -0.021990 Loss_G: -0.008103 Loss_D_real: -0.014352 Loss_D_fake 0.007639
[1027/5000][460/535][105930] Loss_D: -0.022151 Loss_G: 0.004814 Loss_D_real: -0.012177 Loss_D_fake 0.009974
[1027/5000][465/535][105931] Loss_D: -0.021935 Loss_G: 0.022784 Loss_D_real: -0.034761 Loss_D_fake -0.012826
[1027/5000][470/535][105932] Loss_D: -0.023326 Loss_G: 0.019099 Loss_D_real: -0.026275 Loss_D_fake -0.002949
[1027/5000][475/535][105933] Loss_D: -0.023461 Loss_G: 0.020153 Loss_D_real: -0.022571 Loss_D_fake 0.000889
[1027/5000][480/535][105934] Loss_D: -0.022199 Loss_G: -0.018640 Loss_D_real: -0.017496 Loss_D_fake 0.004702
[1027/5000][485/535][105935] Loss_D: -0.021007 Loss_G: 0.024270 Loss_D_real: -0.032724 Loss_D_fake -0.011717
[1027/5000][490/535][105936] Loss_D: -0.022568 Loss_G: -0.005188 Loss_D_real: -0.008728 Loss_D_fake 0.013840
[1027/5000][495/535][105937] Loss_D: -0.021823 Loss_G: 0.007932 Loss_D_real: -0.033596 Loss_D_fake -0.011773
[1027/5000][500/535][105938] Loss_D: -0.020826 Loss_G: 0.017352 Loss_D_real: -0.038398 Loss_D_fake -0.017571
[1027/5000][505/535][105939] Loss_D: -0.023582 Loss_G: -0.000864 Loss_D_real: -0.003180 Loss_D_fake 0.020402
[1027/5000][510/535][105940] Loss_D: -0.022706 Loss_G: 0.012037 Loss_D_real: -0.026381 Loss_D_fake -0.003675
[1027/5000][515/535][105941] Loss_D: -0.023082 Loss_G: 0.007588 Loss_D_real: -0.011322 Loss_D_fake 0.011760
[1027/5000][520/535][105942] Loss_D: -0.021922 Loss_G: 0.017653 Loss_D_real: -0.020583 Loss_D_fake 0.001338
[1027/5000][525/535][105943] Loss_D: -0.021163 Loss_G: -0.015673 Loss_D_real: -0.002882 Loss_D_fake 0.018281
[1027/5000][530/535][105944] Loss_D: -0.021662 Loss_G: -0.007840 Loss_D_real: -0.002422 Loss_D_fake 0.019240
[1027/5000][535/535][105945] Loss_D: -0.022445 Loss_G: 0.011988 Loss_D_real: -0.012316 Loss_D_fake 0.010129
[1028/5000][5/535][105946] Loss_D: -0.023868 Loss_G: 0.010131 Loss_D_real: -0.027067 Loss_D_fake -0.003199
[1028/5000][10/535][105947] Loss_D: -0.021792 Loss_G: -0.002349 Loss_D_real: -0.018647 Loss_D_fake 0.003145
[1028/5000][15/535][105948] Loss_D: -0.022310 Loss_G: 0.000289 Loss_D_real: -0.013963 Loss_D_fake 0.008347
[1028/5000][20/535][105949] Loss_D: -0.023196 Loss_G: 0.013421 Loss_D_real: -0.014512 Loss_D_fake 0.008684
[1028/5000][25/535][105950] Loss_D: -0.022824 Loss_G: 0.012182 Loss_D_real: -0.011290 Loss_D_fake 0.011534
[1028/5000][30/535][105951] Loss_D: -0.023539 Loss_G: 0.015511 Loss_D_real: -0.012280 Loss_D_fake 0.011259
[1028/5000][35/535][105952] Loss_D: -0.022047 Loss_G: 0.015203 Loss_D_real: -0.040410 Loss_D_fake -0.018363
[1028/5000][40/535][105953] Loss_D: -0.022698 Loss_G: -0.013689 Loss_D_real: -0.018027 Loss_D_fake 0.004670
[1028/5000][45/535][105954] Loss_D: -0.023052 Loss_G: 0.009064 Loss_D_real: -0.019878 Loss_D_fake 0.003174
[1028/5000][50/535][105955] Loss_D: -0.021773 Loss_G: -0.000578 Loss_D_real: -0.015978 Loss_D_fake 0.005795
[1028/5000][55/535][105956] Loss_D: -0.022245 Loss_G: 0.007060 Loss_D_real: -0.016391 Loss_D_fake 0.005855
[1028/5000][60/535][105957] Loss_D: -0.021627 Loss_G: -0.002085 Loss_D_real: -0.006473 Loss_D_fake 0.015154
[1028/5000][65/535][105958] Loss_D: -0.022279 Loss_G: 0.019178 Loss_D_real: -0.025794 Loss_D_fake -0.003515
[1028/5000][70/535][105959] Loss_D: -0.020856 Loss_G: -0.000971 Loss_D_real: -0.008448 Loss_D_fake 0.012408
[1028/5000][75/535][105960] Loss_D: -0.021945 Loss_G: -0.005871 Loss_D_real: -0.006501 Loss_D_fake 0.015444
[1028/5000][80/535][105961] Loss_D: -0.021318 Loss_G: -0.001298 Loss_D_real: -0.015890 Loss_D_fake 0.005428
[1028/5000][85/535][105962] Loss_D: -0.021744 Loss_G: 0.021416 Loss_D_real: -0.028432 Loss_D_fake -0.006688
[1028/5000][90/535][105963] Loss_D: -0.022503 Loss_G: 0.016635 Loss_D_real: -0.034093 Loss_D_fake -0.011590
[1028/5000][95/535][105964] Loss_D: -0.022429 Loss_G: 0.006664 Loss_D_real: -0.027747 Loss_D_fake -0.005319
[1028/5000][100/535][105965] Loss_D: -0.020963 Loss_G: 0.023461 Loss_D_real: -0.036768 Loss_D_fake -0.015805
[1028/5000][105/535][105966] Loss_D: -0.022076 Loss_G: 0.011427 Loss_D_real: -0.005110 Loss_D_fake 0.016966
[1028/5000][110/535][105967] Loss_D: -0.022170 Loss_G: 0.000429 Loss_D_real: -0.015467 Loss_D_fake 0.006703
[1028/5000][115/535][105968] Loss_D: -0.019793 Loss_G: 0.022534 Loss_D_real: -0.035164 Loss_D_fake -0.015371
[1028/5000][120/535][105969] Loss_D: -0.024045 Loss_G: -0.003730 Loss_D_real: -0.021705 Loss_D_fake 0.002339
[1028/5000][125/535][105970] Loss_D: -0.022757 Loss_G: 0.031420 Loss_D_real: -0.033547 Loss_D_fake -0.010790
[1028/5000][130/535][105971] Loss_D: -0.023659 Loss_G: 0.001596 Loss_D_real: -0.017594 Loss_D_fake 0.006065
[1028/5000][135/535][105972] Loss_D: -0.024173 Loss_G: 0.017867 Loss_D_real: -0.030025 Loss_D_fake -0.005852
[1028/5000][140/535][105973] Loss_D: -0.022218 Loss_G: 0.015872 Loss_D_real: -0.028640 Loss_D_fake -0.006422
[1028/5000][145/535][105974] Loss_D: -0.023205 Loss_G: 0.000880 Loss_D_real: -0.007925 Loss_D_fake 0.015280
[1028/5000][150/535][105975] Loss_D: -0.022897 Loss_G: 0.000891 Loss_D_real: -0.006114 Loss_D_fake 0.016783
[1028/5000][155/535][105976] Loss_D: -0.024076 Loss_G: 0.000721 Loss_D_real: -0.003079 Loss_D_fake 0.020997
[1028/5000][160/535][105977] Loss_D: -0.022912 Loss_G: 0.007828 Loss_D_real: -0.016484 Loss_D_fake 0.006428
[1028/5000][165/535][105978] Loss_D: -0.023170 Loss_G: -0.007889 Loss_D_real: -0.015587 Loss_D_fake 0.007582
[1028/5000][170/535][105979] Loss_D: -0.022057 Loss_G: 0.011137 Loss_D_real: -0.017591 Loss_D_fake 0.004466
[1028/5000][175/535][105980] Loss_D: -0.021737 Loss_G: -0.008446 Loss_D_real: 0.004634 Loss_D_fake 0.026370
[1028/5000][180/535][105981] Loss_D: -0.023776 Loss_G: -0.001382 Loss_D_real: -0.022687 Loss_D_fake 0.001089
[1028/5000][185/535][105982] Loss_D: -0.022449 Loss_G: 0.020931 Loss_D_real: -0.030797 Loss_D_fake -0.008349
[1028/5000][190/535][105983] Loss_D: -0.022684 Loss_G: 0.003878 Loss_D_real: -0.014887 Loss_D_fake 0.007797
[1028/5000][195/535][105984] Loss_D: -0.021127 Loss_G: -0.006144 Loss_D_real: -0.007671 Loss_D_fake 0.013456
[1028/5000][200/535][105985] Loss_D: -0.023741 Loss_G: -0.009325 Loss_D_real: -0.015656 Loss_D_fake 0.008084
[1028/5000][205/535][105986] Loss_D: -0.021368 Loss_G: -0.012326 Loss_D_real: -0.009391 Loss_D_fake 0.011976
[1028/5000][210/535][105987] Loss_D: -0.022938 Loss_G: 0.015965 Loss_D_real: -0.017853 Loss_D_fake 0.005086
[1028/5000][215/535][105988] Loss_D: -0.024193 Loss_G: 0.008790 Loss_D_real: -0.006676 Loss_D_fake 0.017517
[1028/5000][220/535][105989] Loss_D: -0.021647 Loss_G: 0.016378 Loss_D_real: -0.024233 Loss_D_fake -0.002586
[1028/5000][225/535][105990] Loss_D: -0.021597 Loss_G: 0.002308 Loss_D_real: -0.012504 Loss_D_fake 0.009092
[1028/5000][230/535][105991] Loss_D: -0.022396 Loss_G: 0.007055 Loss_D_real: -0.027962 Loss_D_fake -0.005566
[1028/5000][235/535][105992] Loss_D: -0.023199 Loss_G: -0.016828 Loss_D_real: -0.004339 Loss_D_fake 0.018860
[1028/5000][240/535][105993] Loss_D: -0.023210 Loss_G: 0.028444 Loss_D_real: -0.030514 Loss_D_fake -0.007304
[1028/5000][245/535][105994] Loss_D: -0.022240 Loss_G: 0.018902 Loss_D_real: -0.034412 Loss_D_fake -0.012172
[1028/5000][250/535][105995] Loss_D: -0.022454 Loss_G: 0.014582 Loss_D_real: -0.017136 Loss_D_fake 0.005318
[1028/5000][255/535][105996] Loss_D: -0.022057 Loss_G: 0.015496 Loss_D_real: -0.021336 Loss_D_fake 0.000720
[1028/5000][260/535][105997] Loss_D: -0.021876 Loss_G: -0.005171 Loss_D_real: -0.010602 Loss_D_fake 0.011275
[1028/5000][265/535][105998] Loss_D: -0.022149 Loss_G: 0.005300 Loss_D_real: -0.016754 Loss_D_fake 0.005395
[1028/5000][270/535][105999] Loss_D: -0.022371 Loss_G: 0.014923 Loss_D_real: -0.016381 Loss_D_fake 0.005990
[1028/5000][275/535][106000] Loss_D: -0.023168 Loss_G: 0.023273 Loss_D_real: -0.022479 Loss_D_fake 0.000689
[1028/5000][375/535][106001] Loss_D: -0.024913 Loss_G: -0.013728 Loss_D_real: 0.003374 Loss_D_fake 0.028287
[1028/5000][380/535][106002] Loss_D: -0.019203 Loss_G: 0.016008 Loss_D_real: -0.024206 Loss_D_fake -0.005003
[1028/5000][385/535][106003] Loss_D: -0.020667 Loss_G: -0.006773 Loss_D_real: -0.005191 Loss_D_fake 0.015476
[1028/5000][390/535][106004] Loss_D: -0.021151 Loss_G: 0.012824 Loss_D_real: -0.014462 Loss_D_fake 0.006689
[1028/5000][395/535][106005] Loss_D: -0.021689 Loss_G: 0.022025 Loss_D_real: -0.018726 Loss_D_fake 0.002963
[1028/5000][400/535][106006] Loss_D: -0.022171 Loss_G: -0.000699 Loss_D_real: -0.019433 Loss_D_fake 0.002738
[1028/5000][405/535][106007] Loss_D: -0.022375 Loss_G: -0.000078 Loss_D_real: -0.007617 Loss_D_fake 0.014758
[1028/5000][410/535][106008] Loss_D: -0.021800 Loss_G: 0.011923 Loss_D_real: -0.022047 Loss_D_fake -0.000247
[1028/5000][415/535][106009] Loss_D: -0.022627 Loss_G: 0.000818 Loss_D_real: -0.011046 Loss_D_fake 0.011581
[1028/5000][420/535][106010] Loss_D: -0.021759 Loss_G: 0.016209 Loss_D_real: -0.029240 Loss_D_fake -0.007481
[1028/5000][425/535][106011] Loss_D: -0.021326 Loss_G: 0.000017 Loss_D_real: -0.016665 Loss_D_fake 0.004662
[1028/5000][430/535][106012] Loss_D: -0.020401 Loss_G: -0.009542 Loss_D_real: -0.007669 Loss_D_fake 0.012732
[1028/5000][435/535][106013] Loss_D: -0.021844 Loss_G: 0.018333 Loss_D_real: -0.032791 Loss_D_fake -0.010947
[1028/5000][440/535][106014] Loss_D: -0.021492 Loss_G: 0.022292 Loss_D_real: -0.030697 Loss_D_fake -0.009205
[1028/5000][445/535][106015] Loss_D: -0.021191 Loss_G: -0.004373 Loss_D_real: -0.018527 Loss_D_fake 0.002664
[1028/5000][450/535][106016] Loss_D: -0.021434 Loss_G: 0.018830 Loss_D_real: -0.026206 Loss_D_fake -0.004772
[1028/5000][455/535][106017] Loss_D: -0.021117 Loss_G: -0.003339 Loss_D_real: -0.005767 Loss_D_fake 0.015350
[1028/5000][460/535][106018] Loss_D: -0.022600 Loss_G: 0.009975 Loss_D_real: -0.014530 Loss_D_fake 0.008070
[1028/5000][465/535][106019] Loss_D: -0.022243 Loss_G: 0.010612 Loss_D_real: -0.023342 Loss_D_fake -0.001100
[1028/5000][470/535][106020] Loss_D: -0.020606 Loss_G: 0.025474 Loss_D_real: -0.032277 Loss_D_fake -0.011671
[1028/5000][475/535][106021] Loss_D: -0.021610 Loss_G: 0.022232 Loss_D_real: -0.032280 Loss_D_fake -0.010671
[1028/5000][480/535][106022] Loss_D: -0.021360 Loss_G: -0.000741 Loss_D_real: -0.016173 Loss_D_fake 0.005186
[1028/5000][485/535][106023] Loss_D: -0.020752 Loss_G: 0.005602 Loss_D_real: -0.018579 Loss_D_fake 0.002173
[1028/5000][490/535][106024] Loss_D: -0.021240 Loss_G: 0.013676 Loss_D_real: -0.030957 Loss_D_fake -0.009717
[1028/5000][495/535][106025] Loss_D: -0.021947 Loss_G: -0.007146 Loss_D_real: -0.003835 Loss_D_fake 0.018112
[1028/5000][500/535][106026] Loss_D: -0.022327 Loss_G: 0.000059 Loss_D_real: -0.020123 Loss_D_fake 0.002204
[1028/5000][505/535][106027] Loss_D: -0.021602 Loss_G: -0.001106 Loss_D_real: -0.004167 Loss_D_fake 0.017435
[1028/5000][510/535][106028] Loss_D: -0.022094 Loss_G: -0.003802 Loss_D_real: -0.015830 Loss_D_fake 0.006264
[1028/5000][515/535][106029] Loss_D: -0.022188 Loss_G: 0.012872 Loss_D_real: -0.017467 Loss_D_fake 0.004721
[1028/5000][520/535][106030] Loss_D: -0.021053 Loss_G: -0.015811 Loss_D_real: -0.009433 Loss_D_fake 0.011620
[1028/5000][525/535][106031] Loss_D: -0.021529 Loss_G: 0.011314 Loss_D_real: -0.027330 Loss_D_fake -0.005801
[1028/5000][530/535][106032] Loss_D: -0.021430 Loss_G: 0.008341 Loss_D_real: -0.028683 Loss_D_fake -0.007252
[1028/5000][535/535][106033] Loss_D: -0.023565 Loss_G: 0.006277 Loss_D_real: -0.028461 Loss_D_fake -0.004896
[1029/5000][5/535][106034] Loss_D: -0.023647 Loss_G: -0.007755 Loss_D_real: -0.015508 Loss_D_fake 0.008139
[1029/5000][10/535][106035] Loss_D: -0.022052 Loss_G: -0.007061 Loss_D_real: -0.006452 Loss_D_fake 0.015601
[1029/5000][15/535][106036] Loss_D: -0.024560 Loss_G: 0.007715 Loss_D_real: -0.016421 Loss_D_fake 0.008140
[1029/5000][20/535][106037] Loss_D: -0.022825 Loss_G: -0.000630 Loss_D_real: -0.009896 Loss_D_fake 0.012929
[1029/5000][25/535][106038] Loss_D: -0.022329 Loss_G: 0.004366 Loss_D_real: -0.024146 Loss_D_fake -0.001817
[1029/5000][30/535][106039] Loss_D: -0.022650 Loss_G: -0.012005 Loss_D_real: 0.002118 Loss_D_fake 0.024768
[1029/5000][35/535][106040] Loss_D: -0.022519 Loss_G: 0.018016 Loss_D_real: -0.024188 Loss_D_fake -0.001669
[1029/5000][40/535][106041] Loss_D: -0.023194 Loss_G: -0.013503 Loss_D_real: -0.024356 Loss_D_fake -0.001162
[1029/5000][45/535][106042] Loss_D: -0.022744 Loss_G: -0.003573 Loss_D_real: -0.006635 Loss_D_fake 0.016109
[1029/5000][50/535][106043] Loss_D: -0.022058 Loss_G: 0.028726 Loss_D_real: -0.033937 Loss_D_fake -0.011878
[1029/5000][55/535][106044] Loss_D: -0.021310 Loss_G: 0.019621 Loss_D_real: -0.016481 Loss_D_fake 0.004828
[1029/5000][60/535][106045] Loss_D: -0.022307 Loss_G: 0.003850 Loss_D_real: -0.008446 Loss_D_fake 0.013861
[1029/5000][65/535][106046] Loss_D: -0.022959 Loss_G: 0.007327 Loss_D_real: -0.016532 Loss_D_fake 0.006428
[1029/5000][70/535][106047] Loss_D: -0.021145 Loss_G: -0.012687 Loss_D_real: -0.009966 Loss_D_fake 0.011179
[1029/5000][75/535][106048] Loss_D: -0.023375 Loss_G: -0.010809 Loss_D_real: -0.002159 Loss_D_fake 0.021216
[1029/5000][80/535][106049] Loss_D: -0.023018 Loss_G: 0.024760 Loss_D_real: -0.017281 Loss_D_fake 0.005737
[1029/5000][85/535][106050] Loss_D: -0.022601 Loss_G: 0.013924 Loss_D_real: -0.017965 Loss_D_fake 0.004636
[1029/5000][90/535][106051] Loss_D: -0.022586 Loss_G: -0.012523 Loss_D_real: -0.008231 Loss_D_fake 0.014354
[1029/5000][95/535][106052] Loss_D: -0.021774 Loss_G: 0.022819 Loss_D_real: -0.032163 Loss_D_fake -0.010388
[1029/5000][100/535][106053] Loss_D: -0.022341 Loss_G: 0.022104 Loss_D_real: -0.019272 Loss_D_fake 0.003069
[1029/5000][105/535][106054] Loss_D: -0.023814 Loss_G: 0.013604 Loss_D_real: -0.018701 Loss_D_fake 0.005113
[1029/5000][110/535][106055] Loss_D: -0.021803 Loss_G: 0.006752 Loss_D_real: -0.015557 Loss_D_fake 0.006246
[1029/5000][115/535][106056] Loss_D: -0.023090 Loss_G: -0.006249 Loss_D_real: -0.012746 Loss_D_fake 0.010343
[1029/5000][120/535][106057] Loss_D: -0.022265 Loss_G: 0.023503 Loss_D_real: -0.030628 Loss_D_fake -0.008363
[1029/5000][125/535][106058] Loss_D: -0.021494 Loss_G: -0.007483 Loss_D_real: -0.003827 Loss_D_fake 0.017667
[1029/5000][130/535][106059] Loss_D: -0.020383 Loss_G: -0.000520 Loss_D_real: -0.024898 Loss_D_fake -0.004515
[1029/5000][135/535][106060] Loss_D: -0.022772 Loss_G: 0.006097 Loss_D_real: -0.008534 Loss_D_fake 0.014238
[1029/5000][140/535][106061] Loss_D: -0.022226 Loss_G: 0.012854 Loss_D_real: -0.025235 Loss_D_fake -0.003009
[1029/5000][145/535][106062] Loss_D: -0.022618 Loss_G: 0.008692 Loss_D_real: -0.026055 Loss_D_fake -0.003437
[1029/5000][150/535][106063] Loss_D: -0.020374 Loss_G: 0.000285 Loss_D_real: -0.015110 Loss_D_fake 0.005264
[1029/5000][155/535][106064] Loss_D: -0.022214 Loss_G: 0.009372 Loss_D_real: -0.013840 Loss_D_fake 0.008375
[1029/5000][160/535][106065] Loss_D: -0.021530 Loss_G: 0.016095 Loss_D_real: -0.024790 Loss_D_fake -0.003260
[1029/5000][165/535][106066] Loss_D: -0.022028 Loss_G: 0.014499 Loss_D_real: -0.032090 Loss_D_fake -0.010062
[1029/5000][170/535][106067] Loss_D: -0.022767 Loss_G: 0.015120 Loss_D_real: -0.020581 Loss_D_fake 0.002186
[1029/5000][175/535][106068] Loss_D: -0.021965 Loss_G: -0.010620 Loss_D_real: -0.009686 Loss_D_fake 0.012279
[1029/5000][180/535][106069] Loss_D: -0.020955 Loss_G: 0.003151 Loss_D_real: -0.017103 Loss_D_fake 0.003852
[1029/5000][185/535][106070] Loss_D: -0.021357 Loss_G: 0.023438 Loss_D_real: -0.016756 Loss_D_fake 0.004601
[1029/5000][190/535][106071] Loss_D: -0.021923 Loss_G: 0.005865 Loss_D_real: -0.023798 Loss_D_fake -0.001875
[1029/5000][195/535][106072] Loss_D: -0.022129 Loss_G: -0.006217 Loss_D_real: -0.019718 Loss_D_fake 0.002411
[1029/5000][200/535][106073] Loss_D: -0.022182 Loss_G: 0.023136 Loss_D_real: -0.030657 Loss_D_fake -0.008475
[1029/5000][205/535][106074] Loss_D: -0.024107 Loss_G: 0.005140 Loss_D_real: -0.013105 Loss_D_fake 0.011001
[1029/5000][210/535][106075] Loss_D: -0.021662 Loss_G: 0.015691 Loss_D_real: -0.028834 Loss_D_fake -0.007172
[1029/5000][215/535][106076] Loss_D: -0.021867 Loss_G: 0.007402 Loss_D_real: -0.017268 Loss_D_fake 0.004599
[1029/5000][220/535][106077] Loss_D: -0.021833 Loss_G: -0.007325 Loss_D_real: -0.006322 Loss_D_fake 0.015511
[1029/5000][225/535][106078] Loss_D: -0.022775 Loss_G: 0.014340 Loss_D_real: -0.024527 Loss_D_fake -0.001752
[1029/5000][230/535][106079] Loss_D: -0.022598 Loss_G: -0.004072 Loss_D_real: -0.016443 Loss_D_fake 0.006155
[1029/5000][235/535][106080] Loss_D: -0.021730 Loss_G: 0.003386 Loss_D_real: -0.011475 Loss_D_fake 0.010255
[1029/5000][240/535][106081] Loss_D: -0.022599 Loss_G: 0.031947 Loss_D_real: -0.037342 Loss_D_fake -0.014743
[1029/5000][245/535][106082] Loss_D: -0.023255 Loss_G: -0.010728 Loss_D_real: -0.017728 Loss_D_fake 0.005528
[1029/5000][250/535][106083] Loss_D: -0.022363 Loss_G: 0.015493 Loss_D_real: -0.016915 Loss_D_fake 0.005449
[1029/5000][255/535][106084] Loss_D: -0.022475 Loss_G: 0.011683 Loss_D_real: -0.020253 Loss_D_fake 0.002223
[1029/5000][260/535][106085] Loss_D: -0.023542 Loss_G: 0.009959 Loss_D_real: -0.027455 Loss_D_fake -0.003913
[1029/5000][265/535][106086] Loss_D: -0.022775 Loss_G: -0.017199 Loss_D_real: 0.003490 Loss_D_fake 0.026265
[1029/5000][270/535][106087] Loss_D: -0.022960 Loss_G: 0.004391 Loss_D_real: -0.015281 Loss_D_fake 0.007679
[1029/5000][275/535][106088] Loss_D: -0.024171 Loss_G: -0.001551 Loss_D_real: -0.015819 Loss_D_fake 0.008352
[1029/5000][280/535][106089] Loss_D: -0.025215 Loss_G: 0.007511 Loss_D_real: -0.017919 Loss_D_fake 0.007296
[1029/5000][285/535][106090] Loss_D: -0.021640 Loss_G: -0.020190 Loss_D_real: 0.004686 Loss_D_fake 0.026325
[1029/5000][290/535][106091] Loss_D: -0.021623 Loss_G: 0.016410 Loss_D_real: -0.015182 Loss_D_fake 0.006441
[1029/5000][295/535][106092] Loss_D: -0.021926 Loss_G: 0.004269 Loss_D_real: -0.010918 Loss_D_fake 0.011008
[1029/5000][300/535][106093] Loss_D: -0.023196 Loss_G: 0.009014 Loss_D_real: -0.012049 Loss_D_fake 0.011146
[1029/5000][305/535][106094] Loss_D: -0.023794 Loss_G: 0.007906 Loss_D_real: -0.007194 Loss_D_fake 0.016600
[1029/5000][310/535][106095] Loss_D: -0.022600 Loss_G: 0.000307 Loss_D_real: -0.022394 Loss_D_fake 0.000205
[1029/5000][315/535][106096] Loss_D: -0.019891 Loss_G: 0.032507 Loss_D_real: -0.036128 Loss_D_fake -0.016237
[1029/5000][320/535][106097] Loss_D: -0.022936 Loss_G: 0.016102 Loss_D_real: -0.025130 Loss_D_fake -0.002194
[1029/5000][325/535][106098] Loss_D: -0.023171 Loss_G: 0.012203 Loss_D_real: -0.013962 Loss_D_fake 0.009208
[1029/5000][330/535][106099] Loss_D: -0.020072 Loss_G: 0.024901 Loss_D_real: -0.030278 Loss_D_fake -0.010207
[1029/5000][335/535][106100] Loss_D: -0.023047 Loss_G: 0.009621 Loss_D_real: -0.011586 Loss_D_fake 0.011460
[1029/5000][340/535][106101] Loss_D: -0.022497 Loss_G: 0.016101 Loss_D_real: -0.023333 Loss_D_fake -0.000836
[1029/5000][345/535][106102] Loss_D: -0.023399 Loss_G: -0.008713 Loss_D_real: -0.018208 Loss_D_fake 0.005191
[1029/5000][350/535][106103] Loss_D: -0.023564 Loss_G: 0.018094 Loss_D_real: -0.018153 Loss_D_fake 0.005411
[1029/5000][355/535][106104] Loss_D: -0.023325 Loss_G: 0.010000 Loss_D_real: -0.030238 Loss_D_fake -0.006913
[1029/5000][360/535][106105] Loss_D: -0.022870 Loss_G: -0.002731 Loss_D_real: -0.012600 Loss_D_fake 0.010270
[1029/5000][365/535][106106] Loss_D: -0.020788 Loss_G: 0.014939 Loss_D_real: -0.033948 Loss_D_fake -0.013160
[1029/5000][370/535][106107] Loss_D: -0.022377 Loss_G: -0.001270 Loss_D_real: -0.016267 Loss_D_fake 0.006110
[1029/5000][375/535][106108] Loss_D: -0.022329 Loss_G: 0.004524 Loss_D_real: -0.017795 Loss_D_fake 0.004534
[1029/5000][380/535][106109] Loss_D: -0.023607 Loss_G: 0.012581 Loss_D_real: -0.020348 Loss_D_fake 0.003259
[1029/5000][385/535][106110] Loss_D: -0.022506 Loss_G: 0.013846 Loss_D_real: -0.032185 Loss_D_fake -0.009679
[1029/5000][390/535][106111] Loss_D: -0.023186 Loss_G: 0.021563 Loss_D_real: -0.028186 Loss_D_fake -0.005001
[1029/5000][395/535][106112] Loss_D: -0.022975 Loss_G: -0.000928 Loss_D_real: -0.012933 Loss_D_fake 0.010042
[1029/5000][400/535][106113] Loss_D: -0.022624 Loss_G: 0.007567 Loss_D_real: -0.029925 Loss_D_fake -0.007301
[1029/5000][405/535][106114] Loss_D: -0.020747 Loss_G: 0.019438 Loss_D_real: -0.022111 Loss_D_fake -0.001364
[1029/5000][410/535][106115] Loss_D: -0.023463 Loss_G: 0.016555 Loss_D_real: -0.020573 Loss_D_fake 0.002890
[1029/5000][415/535][106116] Loss_D: -0.024325 Loss_G: 0.006979 Loss_D_real: -0.022046 Loss_D_fake 0.002279
[1029/5000][420/535][106117] Loss_D: -0.022860 Loss_G: 0.018383 Loss_D_real: -0.027633 Loss_D_fake -0.004774
[1029/5000][425/535][106118] Loss_D: -0.022670 Loss_G: 0.002588 Loss_D_real: -0.019539 Loss_D_fake 0.003130
[1029/5000][430/535][106119] Loss_D: -0.023499 Loss_G: -0.000383 Loss_D_real: -0.005225 Loss_D_fake 0.018274
[1029/5000][435/535][106120] Loss_D: -0.023216 Loss_G: 0.017882 Loss_D_real: -0.021899 Loss_D_fake 0.001316
[1029/5000][440/535][106121] Loss_D: -0.022959 Loss_G: 0.005819 Loss_D_real: -0.019843 Loss_D_fake 0.003116
[1029/5000][445/535][106122] Loss_D: -0.022218 Loss_G: 0.026531 Loss_D_real: -0.032148 Loss_D_fake -0.009930
[1029/5000][450/535][106123] Loss_D: -0.023533 Loss_G: -0.011361 Loss_D_real: -0.000647 Loss_D_fake 0.022886
[1029/5000][455/535][106124] Loss_D: -0.021494 Loss_G: 0.011960 Loss_D_real: -0.027982 Loss_D_fake -0.006488
[1029/5000][460/535][106125] Loss_D: -0.021846 Loss_G: 0.006782 Loss_D_real: -0.017146 Loss_D_fake 0.004700
[1029/5000][465/535][106126] Loss_D: -0.021339 Loss_G: 0.021225 Loss_D_real: -0.024566 Loss_D_fake -0.003227
[1029/5000][470/535][106127] Loss_D: -0.022601 Loss_G: 0.013676 Loss_D_real: -0.027983 Loss_D_fake -0.005382
[1029/5000][475/535][106128] Loss_D: -0.021430 Loss_G: -0.017909 Loss_D_real: -0.003629 Loss_D_fake 0.017801
[1029/5000][480/535][106129] Loss_D: -0.024241 Loss_G: 0.009199 Loss_D_real: -0.017331 Loss_D_fake 0.006910
[1029/5000][485/535][106130] Loss_D: -0.022975 Loss_G: -0.004216 Loss_D_real: -0.001487 Loss_D_fake 0.021488
[1029/5000][490/535][106131] Loss_D: -0.022177 Loss_G: 0.012444 Loss_D_real: -0.015954 Loss_D_fake 0.006223
[1029/5000][495/535][106132] Loss_D: -0.021289 Loss_G: 0.020077 Loss_D_real: -0.026393 Loss_D_fake -0.005105
[1029/5000][500/535][106133] Loss_D: -0.022900 Loss_G: -0.003501 Loss_D_real: -0.018177 Loss_D_fake 0.004722
[1029/5000][505/535][106134] Loss_D: -0.023128 Loss_G: -0.004544 Loss_D_real: -0.003620 Loss_D_fake 0.019509
[1029/5000][510/535][106135] Loss_D: -0.022449 Loss_G: 0.009748 Loss_D_real: -0.028055 Loss_D_fake -0.005605
[1029/5000][515/535][106136] Loss_D: -0.022685 Loss_G: 0.018448 Loss_D_real: -0.019255 Loss_D_fake 0.003430
[1029/5000][520/535][106137] Loss_D: -0.022508 Loss_G: 0.016436 Loss_D_real: -0.024540 Loss_D_fake -0.002032
[1029/5000][525/535][106138] Loss_D: -0.022671 Loss_G: -0.010680 Loss_D_real: -0.006404 Loss_D_fake 0.016268
[1029/5000][530/535][106139] Loss_D: -0.022059 Loss_G: -0.011107 Loss_D_real: 0.005230 Loss_D_fake 0.027289
[1029/5000][535/535][106140] Loss_D: -0.021488 Loss_G: 0.005482 Loss_D_real: -0.008003 Loss_D_fake 0.013484
[1030/5000][5/535][106141] Loss_D: -0.023198 Loss_G: 0.005114 Loss_D_real: -0.023954 Loss_D_fake -0.000756
[1030/5000][10/535][106142] Loss_D: -0.023321 Loss_G: 0.005201 Loss_D_real: -0.006237 Loss_D_fake 0.017084
[1030/5000][15/535][106143] Loss_D: -0.023046 Loss_G: 0.011563 Loss_D_real: -0.024891 Loss_D_fake -0.001845
[1030/5000][20/535][106144] Loss_D: -0.022381 Loss_G: -0.012052 Loss_D_real: -0.003595 Loss_D_fake 0.018786
[1030/5000][25/535][106145] Loss_D: -0.022884 Loss_G: 0.005342 Loss_D_real: -0.025407 Loss_D_fake -0.002523
[1030/5000][30/535][106146] Loss_D: -0.023849 Loss_G: 0.015046 Loss_D_real: -0.016663 Loss_D_fake 0.007187
[1030/5000][35/535][106147] Loss_D: -0.022648 Loss_G: 0.029544 Loss_D_real: -0.031750 Loss_D_fake -0.009102
[1030/5000][40/535][106148] Loss_D: -0.023337 Loss_G: 0.006390 Loss_D_real: -0.023918 Loss_D_fake -0.000582
[1030/5000][45/535][106149] Loss_D: -0.022098 Loss_G: 0.017410 Loss_D_real: -0.022844 Loss_D_fake -0.000745
[1030/5000][50/535][106150] Loss_D: -0.022569 Loss_G: -0.004860 Loss_D_real: -0.012302 Loss_D_fake 0.010267
[1030/5000][55/535][106151] Loss_D: -0.023187 Loss_G: 0.009483 Loss_D_real: -0.024346 Loss_D_fake -0.001159
[1030/5000][60/535][106152] Loss_D: -0.023063 Loss_G: 0.020180 Loss_D_real: -0.027738 Loss_D_fake -0.004675
[1030/5000][65/535][106153] Loss_D: -0.022059 Loss_G: -0.002326 Loss_D_real: -0.020806 Loss_D_fake 0.001253
[1030/5000][70/535][106154] Loss_D: -0.022991 Loss_G: 0.018537 Loss_D_real: -0.014368 Loss_D_fake 0.008622
[1030/5000][75/535][106155] Loss_D: -0.022170 Loss_G: 0.014811 Loss_D_real: -0.016096 Loss_D_fake 0.006074
[1030/5000][80/535][106156] Loss_D: -0.023189 Loss_G: -0.017824 Loss_D_real: -0.000950 Loss_D_fake 0.022239
[1030/5000][85/535][106157] Loss_D: -0.021183 Loss_G: 0.031709 Loss_D_real: -0.028938 Loss_D_fake -0.007755
[1030/5000][90/535][106158] Loss_D: -0.020271 Loss_G: 0.006716 Loss_D_real: -0.011995 Loss_D_fake 0.008276
[1030/5000][95/535][106159] Loss_D: -0.023294 Loss_G: 0.014839 Loss_D_real: -0.016133 Loss_D_fake 0.007161
[1030/5000][100/535][106160] Loss_D: -0.021969 Loss_G: 0.005890 Loss_D_real: -0.021051 Loss_D_fake 0.000918
[1030/5000][105/535][106161] Loss_D: -0.023435 Loss_G: -0.013657 Loss_D_real: -0.014787 Loss_D_fake 0.008648
[1030/5000][110/535][106162] Loss_D: -0.021529 Loss_G: 0.020419 Loss_D_real: -0.024521 Loss_D_fake -0.002992
[1030/5000][115/535][106163] Loss_D: -0.022254 Loss_G: 0.020269 Loss_D_real: -0.029654 Loss_D_fake -0.007400
[1030/5000][120/535][106164] Loss_D: -0.021545 Loss_G: 0.021857 Loss_D_real: -0.021867 Loss_D_fake -0.000321
[1030/5000][125/535][106165] Loss_D: -0.024124 Loss_G: 0.008537 Loss_D_real: -0.017192 Loss_D_fake 0.006932
[1030/5000][130/535][106166] Loss_D: -0.022169 Loss_G: -0.001316 Loss_D_real: 0.001155 Loss_D_fake 0.023324
[1030/5000][135/535][106167] Loss_D: -0.021976 Loss_G: 0.029888 Loss_D_real: -0.037160 Loss_D_fake -0.015184
[1030/5000][140/535][106168] Loss_D: -0.024063 Loss_G: 0.001079 Loss_D_real: -0.012162 Loss_D_fake 0.011901
[1030/5000][145/535][106169] Loss_D: -0.022394 Loss_G: 0.024764 Loss_D_real: -0.028724 Loss_D_fake -0.006330
[1030/5000][150/535][106170] Loss_D: -0.022035 Loss_G: -0.001676 Loss_D_real: -0.007550 Loss_D_fake 0.014485
[1030/5000][155/535][106171] Loss_D: -0.023035 Loss_G: -0.011463 Loss_D_real: -0.007280 Loss_D_fake 0.015756
[1030/5000][160/535][106172] Loss_D: -0.021971 Loss_G: 0.009922 Loss_D_real: -0.018688 Loss_D_fake 0.003283
[1030/5000][165/535][106173] Loss_D: -0.021486 Loss_G: 0.012851 Loss_D_real: -0.016900 Loss_D_fake 0.004586
[1030/5000][170/535][106174] Loss_D: -0.023243 Loss_G: 0.011363 Loss_D_real: -0.017871 Loss_D_fake 0.005372
[1030/5000][175/535][106175] Loss_D: -0.023762 Loss_G: 0.008477 Loss_D_real: -0.025739 Loss_D_fake -0.001977
[1030/5000][180/535][106176] Loss_D: -0.022728 Loss_G: 0.009951 Loss_D_real: -0.023486 Loss_D_fake -0.000757
[1030/5000][185/535][106177] Loss_D: -0.022620 Loss_G: 0.006658 Loss_D_real: -0.017944 Loss_D_fake 0.004676
[1030/5000][190/535][106178] Loss_D: -0.022788 Loss_G: -0.012223 Loss_D_real: 0.002539 Loss_D_fake 0.025327
[1030/5000][195/535][106179] Loss_D: -0.021845 Loss_G: -0.002498 Loss_D_real: -0.007009 Loss_D_fake 0.014836
[1030/5000][200/535][106180] Loss_D: -0.019961 Loss_G: 0.030666 Loss_D_real: -0.036429 Loss_D_fake -0.016468
[1030/5000][205/535][106181] Loss_D: -0.022299 Loss_G: 0.000716 Loss_D_real: -0.018870 Loss_D_fake 0.003428
[1030/5000][210/535][106182] Loss_D: -0.023608 Loss_G: -0.000585 Loss_D_real: -0.011271 Loss_D_fake 0.012337
[1030/5000][215/535][106183] Loss_D: -0.022838 Loss_G: 0.008412 Loss_D_real: -0.017758 Loss_D_fake 0.005079
[1030/5000][220/535][106184] Loss_D: -0.022630 Loss_G: 0.020288 Loss_D_real: -0.023688 Loss_D_fake -0.001058
[1030/5000][225/535][106185] Loss_D: -0.023200 Loss_G: 0.008887 Loss_D_real: -0.010977 Loss_D_fake 0.012223
[1030/5000][230/535][106186] Loss_D: -0.021359 Loss_G: -0.015812 Loss_D_real: -0.001631 Loss_D_fake 0.019728
[1030/5000][235/535][106187] Loss_D: -0.022381 Loss_G: 0.018307 Loss_D_real: -0.031266 Loss_D_fake -0.008885
[1030/5000][240/535][106188] Loss_D: -0.021431 Loss_G: -0.005583 Loss_D_real: -0.004648 Loss_D_fake 0.016783
[1030/5000][245/535][106189] Loss_D: -0.022280 Loss_G: -0.004296 Loss_D_real: -0.002366 Loss_D_fake 0.019914
[1030/5000][250/535][106190] Loss_D: -0.022773 Loss_G: 0.014726 Loss_D_real: -0.018486 Loss_D_fake 0.004286
[1030/5000][255/535][106191] Loss_D: -0.020639 Loss_G: 0.013943 Loss_D_real: -0.040757 Loss_D_fake -0.020118
[1030/5000][260/535][106192] Loss_D: -0.021788 Loss_G: 0.020940 Loss_D_real: -0.030846 Loss_D_fake -0.009058
[1030/5000][265/535][106193] Loss_D: -0.022923 Loss_G: -0.001911 Loss_D_real: -0.012659 Loss_D_fake 0.010264
[1030/5000][270/535][106194] Loss_D: -0.023224 Loss_G: 0.018648 Loss_D_real: -0.016423 Loss_D_fake 0.006801
[1030/5000][275/535][106195] Loss_D: -0.022621 Loss_G: -0.012133 Loss_D_real: -0.013458 Loss_D_fake 0.009163
[1030/5000][280/535][106196] Loss_D: -0.021666 Loss_G: 0.010428 Loss_D_real: -0.027076 Loss_D_fake -0.005410
[1030/5000][285/535][106197] Loss_D: -0.022646 Loss_G: 0.004865 Loss_D_real: -0.018419 Loss_D_fake 0.004227
[1030/5000][290/535][106198] Loss_D: -0.023448 Loss_G: 0.001739 Loss_D_real: -0.018811 Loss_D_fake 0.004638
[1030/5000][295/535][106199] Loss_D: -0.023564 Loss_G: 0.016050 Loss_D_real: -0.017638 Loss_D_fake 0.005926
[1030/5000][300/535][106200] Loss_D: -0.023090 Loss_G: 0.027229 Loss_D_real: -0.028773 Loss_D_fake -0.005683
[1030/5000][305/535][106201] Loss_D: -0.022161 Loss_G: 0.009732 Loss_D_real: -0.025021 Loss_D_fake -0.002860
[1030/5000][310/535][106202] Loss_D: -0.022260 Loss_G: 0.005140 Loss_D_real: -0.033275 Loss_D_fake -0.011015
[1030/5000][315/535][106203] Loss_D: -0.020679 Loss_G: 0.015326 Loss_D_real: -0.022264 Loss_D_fake -0.001585
[1030/5000][320/535][106204] Loss_D: -0.021855 Loss_G: 0.006511 Loss_D_real: -0.014666 Loss_D_fake 0.007189
[1030/5000][325/535][106205] Loss_D: -0.020898 Loss_G: -0.014504 Loss_D_real: 0.003648 Loss_D_fake 0.024546
[1030/5000][330/535][106206] Loss_D: -0.023585 Loss_G: 0.002718 Loss_D_real: -0.018797 Loss_D_fake 0.004789
[1030/5000][335/535][106207] Loss_D: -0.022785 Loss_G: 0.010959 Loss_D_real: -0.026059 Loss_D_fake -0.003274
[1030/5000][340/535][106208] Loss_D: -0.022778 Loss_G: 0.009020 Loss_D_real: -0.016413 Loss_D_fake 0.006364
[1030/5000][345/535][106209] Loss_D: -0.024241 Loss_G: 0.005021 Loss_D_real: -0.019279 Loss_D_fake 0.004962
[1030/5000][350/535][106210] Loss_D: -0.024093 Loss_G: -0.002636 Loss_D_real: -0.019842 Loss_D_fake 0.004251
[1030/5000][355/535][106211] Loss_D: -0.021864 Loss_G: 0.013463 Loss_D_real: -0.013297 Loss_D_fake 0.008567
[1030/5000][360/535][106212] Loss_D: -0.022821 Loss_G: -0.003237 Loss_D_real: -0.017719 Loss_D_fake 0.005102
[1030/5000][365/535][106213] Loss_D: -0.022590 Loss_G: -0.010577 Loss_D_real: -0.010323 Loss_D_fake 0.012267
[1030/5000][370/535][106214] Loss_D: -0.021987 Loss_G: 0.014867 Loss_D_real: -0.024727 Loss_D_fake -0.002740
[1030/5000][375/535][106215] Loss_D: -0.022569 Loss_G: 0.034215 Loss_D_real: -0.021426 Loss_D_fake 0.001144
[1030/5000][380/535][106216] Loss_D: -0.021652 Loss_G: 0.002316 Loss_D_real: -0.024669 Loss_D_fake -0.003017
[1030/5000][385/535][106217] Loss_D: -0.021504 Loss_G: 0.012655 Loss_D_real: -0.013385 Loss_D_fake 0.008119
[1030/5000][390/535][106218] Loss_D: -0.022739 Loss_G: 0.014349 Loss_D_real: -0.019898 Loss_D_fake 0.002841
[1030/5000][395/535][106219] Loss_D: -0.021530 Loss_G: 0.016234 Loss_D_real: -0.025250 Loss_D_fake -0.003720
[1030/5000][400/535][106220] Loss_D: -0.021506 Loss_G: 0.010995 Loss_D_real: -0.024847 Loss_D_fake -0.003341
[1030/5000][405/535][106221] Loss_D: -0.022939 Loss_G: 0.010680 Loss_D_real: -0.021606 Loss_D_fake 0.001333
[1030/5000][410/535][106222] Loss_D: -0.022465 Loss_G: 0.003774 Loss_D_real: -0.017398 Loss_D_fake 0.005067
[1030/5000][415/535][106223] Loss_D: -0.023650 Loss_G: 0.011934 Loss_D_real: -0.022001 Loss_D_fake 0.001649
[1030/5000][420/535][106224] Loss_D: -0.022829 Loss_G: 0.030737 Loss_D_real: -0.027658 Loss_D_fake -0.004828
[1030/5000][425/535][106225] Loss_D: -0.022405 Loss_G: -0.009398 Loss_D_real: -0.011221 Loss_D_fake 0.011184
[1030/5000][430/535][106226] Loss_D: -0.023501 Loss_G: 0.000498 Loss_D_real: -0.010857 Loss_D_fake 0.012645
[1030/5000][435/535][106227] Loss_D: -0.023194 Loss_G: -0.006214 Loss_D_real: -0.015864 Loss_D_fake 0.007329
[1030/5000][440/535][106228] Loss_D: -0.022157 Loss_G: 0.024604 Loss_D_real: -0.036577 Loss_D_fake -0.014420
[1030/5000][445/535][106229] Loss_D: -0.022092 Loss_G: 0.014321 Loss_D_real: -0.026053 Loss_D_fake -0.003961
[1030/5000][450/535][106230] Loss_D: -0.021681 Loss_G: 0.017281 Loss_D_real: -0.030782 Loss_D_fake -0.009102
[1030/5000][455/535][106231] Loss_D: -0.024104 Loss_G: 0.008640 Loss_D_real: -0.008382 Loss_D_fake 0.015722
[1030/5000][460/535][106232] Loss_D: -0.022161 Loss_G: 0.013146 Loss_D_real: -0.024255 Loss_D_fake -0.002094
[1030/5000][465/535][106233] Loss_D: -0.022849 Loss_G: 0.010484 Loss_D_real: -0.018203 Loss_D_fake 0.004646
[1030/5000][470/535][106234] Loss_D: -0.024207 Loss_G: -0.000720 Loss_D_real: -0.021963 Loss_D_fake 0.002244
[1030/5000][475/535][106235] Loss_D: -0.023095 Loss_G: 0.005317 Loss_D_real: -0.014175 Loss_D_fake 0.008920
[1030/5000][480/535][106236] Loss_D: -0.020728 Loss_G: 0.029703 Loss_D_real: -0.027765 Loss_D_fake -0.007038
[1030/5000][485/535][106237] Loss_D: -0.023588 Loss_G: -0.008400 Loss_D_real: -0.015405 Loss_D_fake 0.008183
[1030/5000][490/535][106238] Loss_D: -0.021274 Loss_G: 0.023473 Loss_D_real: -0.028745 Loss_D_fake -0.007471
[1030/5000][495/535][106239] Loss_D: -0.023454 Loss_G: 0.006633 Loss_D_real: -0.023387 Loss_D_fake 0.000066
[1030/5000][500/535][106240] Loss_D: -0.021100 Loss_G: 0.027597 Loss_D_real: -0.032697 Loss_D_fake -0.011597
[1030/5000][505/535][106241] Loss_D: -0.021100 Loss_G: -0.006398 Loss_D_real: -0.018882 Loss_D_fake 0.002218
[1030/5000][510/535][106242] Loss_D: -0.021659 Loss_G: 0.005114 Loss_D_real: -0.017298 Loss_D_fake 0.004361
[1030/5000][515/535][106243] Loss_D: -0.020685 Loss_G: 0.025057 Loss_D_real: -0.033237 Loss_D_fake -0.012552
[1030/5000][520/535][106244] Loss_D: -0.021308 Loss_G: -0.011979 Loss_D_real: 0.006895 Loss_D_fake 0.028203
[1030/5000][525/535][106245] Loss_D: -0.022932 Loss_G: 0.012360 Loss_D_real: -0.025113 Loss_D_fake -0.002181
[1030/5000][530/535][106246] Loss_D: -0.023530 Loss_G: -0.005495 Loss_D_real: -0.008951 Loss_D_fake 0.014579
[1030/5000][535/535][106247] Loss_D: -0.026399 Loss_G: 0.045658 Loss_D_real: -0.022837 Loss_D_fake 0.003562
[1031/5000][5/535][106248] Loss_D: -0.020297 Loss_G: -0.012151 Loss_D_real: -0.015278 Loss_D_fake 0.005019
[1031/5000][10/535][106249] Loss_D: -0.022083 Loss_G: 0.008401 Loss_D_real: -0.022605 Loss_D_fake -0.000522
[1031/5000][15/535][106250] Loss_D: -0.022234 Loss_G: 0.003873 Loss_D_real: -0.016739 Loss_D_fake 0.005495
[1031/5000][20/535][106251] Loss_D: -0.021813 Loss_G: -0.016255 Loss_D_real: 0.000415 Loss_D_fake 0.022229
[1031/5000][25/535][106252] Loss_D: -0.022240 Loss_G: 0.001262 Loss_D_real: -0.016255 Loss_D_fake 0.005986
[1031/5000][30/535][106253] Loss_D: -0.022115 Loss_G: -0.000001 Loss_D_real: -0.019379 Loss_D_fake 0.002736
[1031/5000][35/535][106254] Loss_D: -0.022408 Loss_G: -0.005109 Loss_D_real: -0.007317 Loss_D_fake 0.015091
[1031/5000][40/535][106255] Loss_D: -0.021872 Loss_G: 0.000489 Loss_D_real: -0.007997 Loss_D_fake 0.013875
[1031/5000][45/535][106256] Loss_D: -0.020803 Loss_G: -0.018630 Loss_D_real: 0.004404 Loss_D_fake 0.025207
[1031/5000][50/535][106257] Loss_D: -0.021465 Loss_G: 0.026524 Loss_D_real: -0.027969 Loss_D_fake -0.006504
[1031/5000][55/535][106258] Loss_D: -0.022073 Loss_G: -0.005634 Loss_D_real: -0.015621 Loss_D_fake 0.006451
[1031/5000][60/535][106259] Loss_D: -0.021778 Loss_G: 0.013372 Loss_D_real: -0.029125 Loss_D_fake -0.007347
[1031/5000][65/535][106260] Loss_D: -0.021416 Loss_G: 0.001999 Loss_D_real: -0.011034 Loss_D_fake 0.010383
[1031/5000][70/535][106261] Loss_D: -0.023080 Loss_G: 0.011527 Loss_D_real: -0.018622 Loss_D_fake 0.004459
[1031/5000][75/535][106262] Loss_D: -0.019356 Loss_G: 0.029422 Loss_D_real: -0.034078 Loss_D_fake -0.014722
[1031/5000][80/535][106263] Loss_D: -0.022892 Loss_G: 0.026513 Loss_D_real: -0.031172 Loss_D_fake -0.008280
[1031/5000][85/535][106264] Loss_D: -0.022876 Loss_G: 0.010291 Loss_D_real: -0.025973 Loss_D_fake -0.003097
[1031/5000][90/535][106265] Loss_D: -0.021636 Loss_G: 0.022048 Loss_D_real: -0.031724 Loss_D_fake -0.010088
[1031/5000][95/535][106266] Loss_D: -0.020497 Loss_G: -0.021404 Loss_D_real: -0.012381 Loss_D_fake 0.008116
[1031/5000][100/535][106267] Loss_D: -0.020664 Loss_G: 0.029399 Loss_D_real: -0.031161 Loss_D_fake -0.010498
[1031/5000][105/535][106268] Loss_D: -0.022729 Loss_G: 0.003353 Loss_D_real: -0.022855 Loss_D_fake -0.000125
[1031/5000][110/535][106269] Loss_D: -0.023499 Loss_G: -0.001721 Loss_D_real: -0.017770 Loss_D_fake 0.005728
[1031/5000][115/535][106270] Loss_D: -0.021685 Loss_G: 0.015814 Loss_D_real: -0.032475 Loss_D_fake -0.010791
[1031/5000][120/535][106271] Loss_D: -0.024668 Loss_G: 0.016598 Loss_D_real: -0.023405 Loss_D_fake 0.001262
[1031/5000][125/535][106272] Loss_D: -0.022897 Loss_G: -0.002173 Loss_D_real: -0.007359 Loss_D_fake 0.015538
[1031/5000][130/535][106273] Loss_D: -0.021251 Loss_G: 0.012094 Loss_D_real: -0.016854 Loss_D_fake 0.004397
[1031/5000][135/535][106274] Loss_D: -0.022367 Loss_G: 0.004713 Loss_D_real: -0.017151 Loss_D_fake 0.005216
[1031/5000][140/535][106275] Loss_D: -0.023118 Loss_G: 0.008899 Loss_D_real: -0.025043 Loss_D_fake -0.001925
[1031/5000][145/535][106276] Loss_D: -0.023207 Loss_G: -0.000680 Loss_D_real: -0.014445 Loss_D_fake 0.008762
[1031/5000][150/535][106277] Loss_D: -0.022738 Loss_G: -0.001131 Loss_D_real: -0.013498 Loss_D_fake 0.009240
[1031/5000][155/535][106278] Loss_D: -0.022511 Loss_G: -0.001539 Loss_D_real: -0.010917 Loss_D_fake 0.011594
[1031/5000][160/535][106279] Loss_D: -0.022939 Loss_G: 0.009530 Loss_D_real: -0.022009 Loss_D_fake 0.000930
[1031/5000][165/535][106280] Loss_D: -0.021228 Loss_G: -0.019144 Loss_D_real: 0.004732 Loss_D_fake 0.025960
[1031/5000][170/535][106281] Loss_D: -0.023552 Loss_G: 0.008460 Loss_D_real: -0.018715 Loss_D_fake 0.004837
[1031/5000][175/535][106282] Loss_D: -0.021541 Loss_G: -0.000087 Loss_D_real: -0.014693 Loss_D_fake 0.006848
[1031/5000][180/535][106283] Loss_D: -0.023152 Loss_G: 0.014118 Loss_D_real: -0.026218 Loss_D_fake -0.003066
[1031/5000][185/535][106284] Loss_D: -0.022755 Loss_G: 0.001661 Loss_D_real: -0.003694 Loss_D_fake 0.019061
[1031/5000][190/535][106285] Loss_D: -0.022745 Loss_G: 0.016044 Loss_D_real: -0.016929 Loss_D_fake 0.005816
[1031/5000][195/535][106286] Loss_D: -0.021532 Loss_G: -0.008479 Loss_D_real: 0.001371 Loss_D_fake 0.022903
[1031/5000][200/535][106287] Loss_D: -0.023285 Loss_G: 0.019017 Loss_D_real: -0.023091 Loss_D_fake 0.000194
[1031/5000][205/535][106288] Loss_D: -0.022897 Loss_G: 0.021657 Loss_D_real: -0.025384 Loss_D_fake -0.002487
[1031/5000][210/535][106289] Loss_D: -0.023861 Loss_G: 0.017320 Loss_D_real: -0.019050 Loss_D_fake 0.004811
[1031/5000][215/535][106290] Loss_D: -0.022019 Loss_G: -0.000458 Loss_D_real: -0.009834 Loss_D_fake 0.012185
[1031/5000][220/535][106291] Loss_D: -0.022542 Loss_G: 0.009337 Loss_D_real: -0.026124 Loss_D_fake -0.003581
[1031/5000][225/535][106292] Loss_D: -0.023761 Loss_G: -0.001396 Loss_D_real: -0.019531 Loss_D_fake 0.004229
[1031/5000][230/535][106293] Loss_D: -0.023764 Loss_G: 0.003583 Loss_D_real: -0.026843 Loss_D_fake -0.003079
[1031/5000][235/535][106294] Loss_D: -0.023461 Loss_G: 0.010162 Loss_D_real: -0.016423 Loss_D_fake 0.007038
[1031/5000][240/535][106295] Loss_D: -0.022210 Loss_G: 0.026457 Loss_D_real: -0.033710 Loss_D_fake -0.011499
[1031/5000][245/535][106296] Loss_D: -0.023072 Loss_G: -0.006322 Loss_D_real: -0.009532 Loss_D_fake 0.013540
[1031/5000][250/535][106297] Loss_D: -0.022606 Loss_G: 0.013874 Loss_D_real: -0.013945 Loss_D_fake 0.008661
[1031/5000][255/535][106298] Loss_D: -0.022563 Loss_G: 0.015362 Loss_D_real: -0.024781 Loss_D_fake -0.002218
[1031/5000][260/535][106299] Loss_D: -0.022357 Loss_G: 0.008589 Loss_D_real: -0.024476 Loss_D_fake -0.002119
[1031/5000][265/535][106300] Loss_D: -0.022770 Loss_G: 0.026787 Loss_D_real: -0.028560 Loss_D_fake -0.005790
[1031/5000][270/535][106301] Loss_D: -0.021539 Loss_G: -0.011908 Loss_D_real: 0.004998 Loss_D_fake 0.026537
[1031/5000][275/535][106302] Loss_D: -0.022669 Loss_G: -0.018138 Loss_D_real: -0.019547 Loss_D_fake 0.003123
[1031/5000][280/535][106303] Loss_D: -0.021532 Loss_G: 0.006387 Loss_D_real: -0.012615 Loss_D_fake 0.008917
[1031/5000][285/535][106304] Loss_D: -0.020286 Loss_G: 0.014297 Loss_D_real: -0.030925 Loss_D_fake -0.010639
[1031/5000][290/535][106305] Loss_D: -0.021215 Loss_G: 0.019956 Loss_D_real: -0.019929 Loss_D_fake 0.001286
[1031/5000][295/535][106306] Loss_D: -0.023009 Loss_G: 0.011697 Loss_D_real: -0.021583 Loss_D_fake 0.001426
[1031/5000][300/535][106307] Loss_D: -0.023615 Loss_G: 0.006879 Loss_D_real: -0.006745 Loss_D_fake 0.016870
[1031/5000][305/535][106308] Loss_D: -0.021660 Loss_G: 0.034393 Loss_D_real: -0.034641 Loss_D_fake -0.012980
[1031/5000][310/535][106309] Loss_D: -0.022406 Loss_G: -0.001727 Loss_D_real: -0.004735 Loss_D_fake 0.017671
[1031/5000][315/535][106310] Loss_D: -0.022545 Loss_G: 0.018231 Loss_D_real: -0.030698 Loss_D_fake -0.008152
[1031/5000][320/535][106311] Loss_D: -0.021981 Loss_G: 0.014250 Loss_D_real: -0.019757 Loss_D_fake 0.002224
[1031/5000][325/535][106312] Loss_D: -0.023240 Loss_G: 0.009439 Loss_D_real: -0.012871 Loss_D_fake 0.010369
[1031/5000][330/535][106313] Loss_D: -0.022388 Loss_G: 0.004351 Loss_D_real: -0.009575 Loss_D_fake 0.012813
[1031/5000][335/535][106314] Loss_D: -0.021753 Loss_G: -0.010426 Loss_D_real: -0.005788 Loss_D_fake 0.015964
[1031/5000][340/535][106315] Loss_D: -0.022811 Loss_G: 0.013947 Loss_D_real: -0.028655 Loss_D_fake -0.005843
[1031/5000][345/535][106316] Loss_D: -0.022563 Loss_G: -0.005585 Loss_D_real: -0.007630 Loss_D_fake 0.014933
[1031/5000][350/535][106317] Loss_D: -0.022164 Loss_G: 0.007071 Loss_D_real: -0.019588 Loss_D_fake 0.002576
[1031/5000][355/535][106318] Loss_D: -0.021692 Loss_G: -0.004469 Loss_D_real: -0.015780 Loss_D_fake 0.005912
[1031/5000][360/535][106319] Loss_D: -0.022534 Loss_G: 0.002824 Loss_D_real: -0.022353 Loss_D_fake 0.000181
[1031/5000][365/535][106320] Loss_D: -0.023308 Loss_G: 0.017156 Loss_D_real: -0.023694 Loss_D_fake -0.000386
[1031/5000][370/535][106321] Loss_D: -0.021986 Loss_G: 0.013486 Loss_D_real: -0.027357 Loss_D_fake -0.005370
[1031/5000][375/535][106322] Loss_D: -0.023667 Loss_G: 0.000336 Loss_D_real: -0.033046 Loss_D_fake -0.009379
[1031/5000][380/535][106323] Loss_D: -0.023721 Loss_G: 0.020368 Loss_D_real: -0.024579 Loss_D_fake -0.000859
[1031/5000][385/535][106324] Loss_D: -0.021452 Loss_G: 0.008790 Loss_D_real: -0.028927 Loss_D_fake -0.007475
[1031/5000][390/535][106325] Loss_D: -0.022266 Loss_G: 0.006796 Loss_D_real: -0.011537 Loss_D_fake 0.010729
[1031/5000][395/535][106326] Loss_D: -0.023062 Loss_G: 0.004219 Loss_D_real: -0.018716 Loss_D_fake 0.004346
[1031/5000][400/535][106327] Loss_D: -0.023512 Loss_G: 0.000187 Loss_D_real: -0.020506 Loss_D_fake 0.003007
[1031/5000][405/535][106328] Loss_D: -0.023591 Loss_G: -0.006409 Loss_D_real: -0.023510 Loss_D_fake 0.000081
[1031/5000][410/535][106329] Loss_D: -0.022774 Loss_G: 0.020486 Loss_D_real: -0.024070 Loss_D_fake -0.001296
[1031/5000][415/535][106330] Loss_D: -0.022450 Loss_G: -0.008374 Loss_D_real: 0.005252 Loss_D_fake 0.027702
[1031/5000][420/535][106331] Loss_D: -0.019909 Loss_G: 0.011256 Loss_D_real: -0.021902 Loss_D_fake -0.001993
[1031/5000][425/535][106332] Loss_D: -0.021673 Loss_G: 0.018690 Loss_D_real: -0.022949 Loss_D_fake -0.001276
[1031/5000][430/535][106333] Loss_D: -0.022849 Loss_G: 0.019990 Loss_D_real: -0.029465 Loss_D_fake -0.006616
[1031/5000][435/535][106334] Loss_D: -0.022354 Loss_G: -0.016399 Loss_D_real: -0.012631 Loss_D_fake 0.009723
[1031/5000][440/535][106335] Loss_D: -0.021094 Loss_G: 0.021719 Loss_D_real: -0.029477 Loss_D_fake -0.008384
[1031/5000][445/535][106336] Loss_D: -0.022626 Loss_G: 0.008409 Loss_D_real: -0.021888 Loss_D_fake 0.000738
[1031/5000][450/535][106337] Loss_D: -0.020912 Loss_G: 0.012442 Loss_D_real: -0.029186 Loss_D_fake -0.008273
[1031/5000][455/535][106338] Loss_D: -0.022419 Loss_G: -0.001018 Loss_D_real: -0.009968 Loss_D_fake 0.012451
[1031/5000][460/535][106339] Loss_D: -0.023274 Loss_G: 0.007993 Loss_D_real: -0.024831 Loss_D_fake -0.001557
[1031/5000][465/535][106340] Loss_D: -0.022357 Loss_G: 0.008123 Loss_D_real: -0.019175 Loss_D_fake 0.003183
[1031/5000][470/535][106341] Loss_D: -0.023011 Loss_G: 0.011183 Loss_D_real: -0.012075 Loss_D_fake 0.010936
[1031/5000][475/535][106342] Loss_D: -0.022426 Loss_G: -0.014051 Loss_D_real: -0.008305 Loss_D_fake 0.014121
[1031/5000][480/535][106343] Loss_D: -0.022598 Loss_G: 0.003290 Loss_D_real: -0.022576 Loss_D_fake 0.000023
[1031/5000][485/535][106344] Loss_D: -0.022867 Loss_G: 0.000314 Loss_D_real: -0.017425 Loss_D_fake 0.005442
[1031/5000][490/535][106345] Loss_D: -0.022141 Loss_G: 0.012707 Loss_D_real: -0.023541 Loss_D_fake -0.001400
[1031/5000][495/535][106346] Loss_D: -0.021025 Loss_G: -0.008024 Loss_D_real: -0.017016 Loss_D_fake 0.004010
[1031/5000][500/535][106347] Loss_D: -0.020488 Loss_G: 0.026903 Loss_D_real: -0.027221 Loss_D_fake -0.006734
[1031/5000][505/535][106348] Loss_D: -0.022313 Loss_G: -0.001580 Loss_D_real: -0.010298 Loss_D_fake 0.012014
[1031/5000][510/535][106349] Loss_D: -0.021758 Loss_G: -0.000698 Loss_D_real: -0.008563 Loss_D_fake 0.013196
[1031/5000][515/535][106350] Loss_D: -0.022326 Loss_G: 0.010936 Loss_D_real: -0.025360 Loss_D_fake -0.003034
[1031/5000][520/535][106351] Loss_D: -0.022502 Loss_G: 0.014104 Loss_D_real: -0.021710 Loss_D_fake 0.000792
[1031/5000][525/535][106352] Loss_D: -0.021717 Loss_G: 0.001930 Loss_D_real: -0.016208 Loss_D_fake 0.005509
[1031/5000][530/535][106353] Loss_D: -0.022897 Loss_G: 0.002077 Loss_D_real: -0.015105 Loss_D_fake 0.007793
[1031/5000][535/535][106354] Loss_D: -0.022955 Loss_G: 0.042597 Loss_D_real: -0.032311 Loss_D_fake -0.009356
[1032/5000][5/535][106355] Loss_D: -0.022687 Loss_G: -0.009433 Loss_D_real: -0.034016 Loss_D_fake -0.011328
[1032/5000][10/535][106356] Loss_D: -0.023181 Loss_G: 0.013417 Loss_D_real: -0.032185 Loss_D_fake -0.009004
[1032/5000][15/535][106357] Loss_D: -0.023080 Loss_G: 0.004449 Loss_D_real: -0.021467 Loss_D_fake 0.001613
[1032/5000][20/535][106358] Loss_D: -0.022153 Loss_G: 0.014803 Loss_D_real: -0.016732 Loss_D_fake 0.005422
[1032/5000][25/535][106359] Loss_D: -0.023591 Loss_G: 0.005512 Loss_D_real: -0.010257 Loss_D_fake 0.013334
[1032/5000][30/535][106360] Loss_D: -0.023135 Loss_G: 0.016072 Loss_D_real: -0.017954 Loss_D_fake 0.005182
[1032/5000][35/535][106361] Loss_D: -0.023404 Loss_G: 0.011307 Loss_D_real: -0.034038 Loss_D_fake -0.010635
[1032/5000][40/535][106362] Loss_D: -0.022189 Loss_G: 0.012020 Loss_D_real: -0.016458 Loss_D_fake 0.005731
[1032/5000][45/535][106363] Loss_D: -0.022744 Loss_G: -0.011258 Loss_D_real: -0.007682 Loss_D_fake 0.015062
[1032/5000][50/535][106364] Loss_D: -0.021720 Loss_G: 0.023521 Loss_D_real: -0.028220 Loss_D_fake -0.006499
[1032/5000][55/535][106365] Loss_D: -0.024089 Loss_G: 0.016443 Loss_D_real: -0.017028 Loss_D_fake 0.007061
[1032/5000][60/535][106366] Loss_D: -0.021624 Loss_G: 0.014514 Loss_D_real: -0.030852 Loss_D_fake -0.009228
[1032/5000][65/535][106367] Loss_D: -0.023288 Loss_G: -0.015087 Loss_D_real: -0.007387 Loss_D_fake 0.015901
[1032/5000][70/535][106368] Loss_D: -0.022166 Loss_G: 0.015297 Loss_D_real: -0.025046 Loss_D_fake -0.002880
[1032/5000][75/535][106369] Loss_D: -0.022870 Loss_G: 0.006289 Loss_D_real: -0.020420 Loss_D_fake 0.002449
[1032/5000][80/535][106370] Loss_D: -0.022830 Loss_G: -0.002407 Loss_D_real: -0.006326 Loss_D_fake 0.016504
[1032/5000][85/535][106371] Loss_D: -0.022757 Loss_G: -0.014350 Loss_D_real: -0.015046 Loss_D_fake 0.007711
[1032/5000][90/535][106372] Loss_D: -0.022661 Loss_G: 0.010249 Loss_D_real: -0.014836 Loss_D_fake 0.007825
[1032/5000][95/535][106373] Loss_D: -0.022843 Loss_G: 0.018503 Loss_D_real: -0.035780 Loss_D_fake -0.012937
[1032/5000][100/535][106374] Loss_D: -0.023770 Loss_G: 0.007987 Loss_D_real: -0.015914 Loss_D_fake 0.007856
[1032/5000][105/535][106375] Loss_D: -0.022370 Loss_G: 0.005745 Loss_D_real: -0.018829 Loss_D_fake 0.003541
[1032/5000][110/535][106376] Loss_D: -0.023511 Loss_G: -0.000906 Loss_D_real: -0.007122 Loss_D_fake 0.016389
[1032/5000][115/535][106377] Loss_D: -0.021368 Loss_G: 0.026630 Loss_D_real: -0.032176 Loss_D_fake -0.010807
[1032/5000][120/535][106378] Loss_D: -0.022872 Loss_G: 0.007981 Loss_D_real: -0.016067 Loss_D_fake 0.006805
[1032/5000][125/535][106379] Loss_D: -0.022258 Loss_G: 0.022789 Loss_D_real: -0.031972 Loss_D_fake -0.009713
[1032/5000][130/535][106380] Loss_D: -0.021811 Loss_G: -0.012562 Loss_D_real: -0.001440 Loss_D_fake 0.020371
[1032/5000][135/535][106381] Loss_D: -0.020566 Loss_G: 0.019160 Loss_D_real: -0.032417 Loss_D_fake -0.011850
[1032/5000][140/535][106382] Loss_D: -0.022530 Loss_G: 0.018342 Loss_D_real: -0.026938 Loss_D_fake -0.004409
[1032/5000][145/535][106383] Loss_D: -0.020361 Loss_G: 0.014224 Loss_D_real: -0.012862 Loss_D_fake 0.007499
[1032/5000][150/535][106384] Loss_D: -0.023534 Loss_G: 0.004335 Loss_D_real: -0.016114 Loss_D_fake 0.007420
[1032/5000][155/535][106385] Loss_D: -0.022624 Loss_G: 0.002035 Loss_D_real: -0.018382 Loss_D_fake 0.004242
[1032/5000][160/535][106386] Loss_D: -0.021144 Loss_G: 0.003733 Loss_D_real: -0.021334 Loss_D_fake -0.000190
[1032/5000][165/535][106387] Loss_D: -0.022809 Loss_G: 0.015147 Loss_D_real: -0.015341 Loss_D_fake 0.007468
[1032/5000][170/535][106388] Loss_D: -0.023570 Loss_G: 0.020525 Loss_D_real: -0.035174 Loss_D_fake -0.011604
[1032/5000][175/535][106389] Loss_D: -0.022473 Loss_G: -0.006163 Loss_D_real: -0.001866 Loss_D_fake 0.020607
[1032/5000][180/535][106390] Loss_D: -0.022894 Loss_G: 0.014184 Loss_D_real: -0.026825 Loss_D_fake -0.003931
[1032/5000][185/535][106391] Loss_D: -0.023454 Loss_G: 0.024182 Loss_D_real: -0.021682 Loss_D_fake 0.001771
[1032/5000][190/535][106392] Loss_D: -0.023340 Loss_G: 0.013156 Loss_D_real: -0.024133 Loss_D_fake -0.000793
[1032/5000][195/535][106393] Loss_D: -0.022951 Loss_G: 0.000510 Loss_D_real: -0.019504 Loss_D_fake 0.003448
[1032/5000][200/535][106394] Loss_D: -0.023066 Loss_G: 0.023212 Loss_D_real: -0.029643 Loss_D_fake -0.006577
[1032/5000][205/535][106395] Loss_D: -0.022656 Loss_G: 0.001359 Loss_D_real: -0.018290 Loss_D_fake 0.004366
[1032/5000][210/535][106396] Loss_D: -0.022556 Loss_G: 0.004521 Loss_D_real: -0.017155 Loss_D_fake 0.005401
[1032/5000][215/535][106397] Loss_D: -0.022086 Loss_G: 0.020685 Loss_D_real: -0.023070 Loss_D_fake -0.000985
[1032/5000][220/535][106398] Loss_D: -0.021761 Loss_G: 0.015326 Loss_D_real: -0.035017 Loss_D_fake -0.013256
[1032/5000][225/535][106399] Loss_D: -0.020803 Loss_G: 0.016924 Loss_D_real: -0.030471 Loss_D_fake -0.009667
[1032/5000][230/535][106400] Loss_D: -0.021799 Loss_G: 0.009425 Loss_D_real: -0.026516 Loss_D_fake -0.004717
[1032/5000][235/535][106401] Loss_D: -0.023249 Loss_G: 0.005164 Loss_D_real: -0.015967 Loss_D_fake 0.007282
[1032/5000][240/535][106402] Loss_D: -0.021017 Loss_G: 0.024934 Loss_D_real: -0.028807 Loss_D_fake -0.007790
[1032/5000][245/535][106403] Loss_D: -0.023113 Loss_G: -0.015216 Loss_D_real: -0.017572 Loss_D_fake 0.005541
[1032/5000][250/535][106404] Loss_D: -0.022165 Loss_G: 0.002543 Loss_D_real: -0.029757 Loss_D_fake -0.007592
[1032/5000][255/535][106405] Loss_D: -0.022365 Loss_G: 0.005649 Loss_D_real: -0.018978 Loss_D_fake 0.003388
[1032/5000][260/535][106406] Loss_D: -0.023657 Loss_G: 0.011742 Loss_D_real: -0.012970 Loss_D_fake 0.010687
[1032/5000][265/535][106407] Loss_D: -0.022848 Loss_G: -0.003181 Loss_D_real: -0.024285 Loss_D_fake -0.001437
[1032/5000][270/535][106408] Loss_D: -0.022478 Loss_G: 0.000803 Loss_D_real: -0.014967 Loss_D_fake 0.007511
[1032/5000][275/535][106409] Loss_D: -0.020621 Loss_G: 0.000869 Loss_D_real: -0.001205 Loss_D_fake 0.019416
[1032/5000][280/535][106410] Loss_D: -0.022416 Loss_G: 0.010568 Loss_D_real: -0.025943 Loss_D_fake -0.003527
[1032/5000][285/535][106411] Loss_D: -0.021624 Loss_G: 0.018199 Loss_D_real: -0.020705 Loss_D_fake 0.000918
[1032/5000][290/535][106412] Loss_D: -0.023610 Loss_G: 0.002546 Loss_D_real: -0.016715 Loss_D_fake 0.006895
[1032/5000][295/535][106413] Loss_D: -0.020824 Loss_G: 0.011013 Loss_D_real: -0.018288 Loss_D_fake 0.002536
[1032/5000][300/535][106414] Loss_D: -0.021329 Loss_G: 0.013858 Loss_D_real: -0.029682 Loss_D_fake -0.008354
[1032/5000][305/535][106415] Loss_D: -0.020714 Loss_G: 0.029243 Loss_D_real: -0.025074 Loss_D_fake -0.004361
[1032/5000][310/535][106416] Loss_D: -0.021706 Loss_G: 0.011337 Loss_D_real: -0.013155 Loss_D_fake 0.008551
[1032/5000][315/535][106417] Loss_D: -0.022542 Loss_G: -0.012439 Loss_D_real: -0.006157 Loss_D_fake 0.016386
[1032/5000][320/535][106418] Loss_D: -0.021392 Loss_G: 0.000345 Loss_D_real: -0.015668 Loss_D_fake 0.005724
[1032/5000][325/535][106419] Loss_D: -0.021480 Loss_G: -0.016716 Loss_D_real: -0.001538 Loss_D_fake 0.019941
[1032/5000][330/535][106420] Loss_D: -0.022231 Loss_G: 0.012866 Loss_D_real: -0.026613 Loss_D_fake -0.004383
[1032/5000][335/535][106421] Loss_D: -0.021953 Loss_G: -0.001123 Loss_D_real: -0.010164 Loss_D_fake 0.011789
[1032/5000][340/535][106422] Loss_D: -0.022584 Loss_G: -0.007639 Loss_D_real: -0.002090 Loss_D_fake 0.020494
[1032/5000][345/535][106423] Loss_D: -0.023171 Loss_G: 0.008922 Loss_D_real: -0.026735 Loss_D_fake -0.003564
[1032/5000][350/535][106424] Loss_D: -0.022850 Loss_G: 0.023739 Loss_D_real: -0.029698 Loss_D_fake -0.006848
[1032/5000][355/535][106425] Loss_D: -0.022882 Loss_G: 0.018184 Loss_D_real: -0.028111 Loss_D_fake -0.005228
[1032/5000][360/535][106426] Loss_D: -0.023077 Loss_G: 0.016110 Loss_D_real: -0.026669 Loss_D_fake -0.003592
[1032/5000][365/535][106427] Loss_D: -0.022297 Loss_G: 0.000219 Loss_D_real: -0.027709 Loss_D_fake -0.005412
[1032/5000][370/535][106428] Loss_D: -0.021863 Loss_G: 0.011495 Loss_D_real: -0.018893 Loss_D_fake 0.002969
[1032/5000][375/535][106429] Loss_D: -0.023482 Loss_G: 0.022021 Loss_D_real: -0.020920 Loss_D_fake 0.002562
[1032/5000][380/535][106430] Loss_D: -0.022499 Loss_G: -0.012689 Loss_D_real: -0.007138 Loss_D_fake 0.015362
[1032/5000][385/535][106431] Loss_D: -0.022898 Loss_G: -0.005726 Loss_D_real: -0.032108 Loss_D_fake -0.009210
[1032/5000][390/535][106432] Loss_D: -0.023281 Loss_G: 0.004219 Loss_D_real: -0.013218 Loss_D_fake 0.010063
[1032/5000][395/535][106433] Loss_D: -0.022235 Loss_G: 0.017243 Loss_D_real: -0.034866 Loss_D_fake -0.012630
[1032/5000][400/535][106434] Loss_D: -0.021709 Loss_G: -0.000483 Loss_D_real: -0.018804 Loss_D_fake 0.002905
[1032/5000][405/535][106435] Loss_D: -0.023081 Loss_G: 0.010059 Loss_D_real: -0.020151 Loss_D_fake 0.002930
[1032/5000][410/535][106436] Loss_D: -0.022338 Loss_G: 0.003680 Loss_D_real: -0.016610 Loss_D_fake 0.005727
[1032/5000][415/535][106437] Loss_D: -0.023704 Loss_G: 0.025775 Loss_D_real: -0.022357 Loss_D_fake 0.001348
[1032/5000][420/535][106438] Loss_D: -0.020628 Loss_G: 0.009401 Loss_D_real: -0.030545 Loss_D_fake -0.009917
[1032/5000][425/535][106439] Loss_D: -0.021887 Loss_G: 0.020137 Loss_D_real: -0.031584 Loss_D_fake -0.009696
[1032/5000][430/535][106440] Loss_D: -0.021927 Loss_G: -0.020286 Loss_D_real: -0.012693 Loss_D_fake 0.009234
[1032/5000][435/535][106441] Loss_D: -0.021480 Loss_G: 0.006309 Loss_D_real: -0.028491 Loss_D_fake -0.007011
[1032/5000][440/535][106442] Loss_D: -0.022294 Loss_G: 0.012322 Loss_D_real: -0.027882 Loss_D_fake -0.005588
[1032/5000][445/535][106443] Loss_D: -0.022545 Loss_G: 0.010507 Loss_D_real: -0.022854 Loss_D_fake -0.000309
[1032/5000][450/535][106444] Loss_D: -0.022539 Loss_G: 0.011473 Loss_D_real: -0.025120 Loss_D_fake -0.002581
[1032/5000][455/535][106445] Loss_D: -0.020904 Loss_G: 0.018057 Loss_D_real: -0.037110 Loss_D_fake -0.016206
[1032/5000][460/535][106446] Loss_D: -0.022334 Loss_G: 0.019572 Loss_D_real: -0.028808 Loss_D_fake -0.006473
[1032/5000][465/535][106447] Loss_D: -0.023473 Loss_G: 0.031935 Loss_D_real: -0.037218 Loss_D_fake -0.013745
[1032/5000][470/535][106448] Loss_D: -0.023682 Loss_G: 0.015770 Loss_D_real: -0.027852 Loss_D_fake -0.004170
[1032/5000][475/535][106449] Loss_D: -0.024205 Loss_G: 0.013148 Loss_D_real: -0.020669 Loss_D_fake 0.003537
[1032/5000][480/535][106450] Loss_D: -0.023480 Loss_G: -0.000832 Loss_D_real: -0.022669 Loss_D_fake 0.000811
[1032/5000][485/535][106451] Loss_D: -0.023360 Loss_G: 0.018264 Loss_D_real: -0.037533 Loss_D_fake -0.014173
[1032/5000][490/535][106452] Loss_D: -0.023836 Loss_G: -0.014057 Loss_D_real: -0.016147 Loss_D_fake 0.007689
[1032/5000][495/535][106453] Loss_D: -0.022433 Loss_G: 0.010084 Loss_D_real: -0.021357 Loss_D_fake 0.001076
[1032/5000][500/535][106454] Loss_D: -0.021405 Loss_G: -0.010800 Loss_D_real: -0.005993 Loss_D_fake 0.015412
[1032/5000][505/535][106455] Loss_D: -0.020773 Loss_G: 0.020478 Loss_D_real: -0.026298 Loss_D_fake -0.005526
[1032/5000][510/535][106456] Loss_D: -0.023025 Loss_G: 0.000465 Loss_D_real: -0.002077 Loss_D_fake 0.020948
[1032/5000][515/535][106457] Loss_D: -0.022295 Loss_G: -0.009602 Loss_D_real: -0.012455 Loss_D_fake 0.009840
[1032/5000][520/535][106458] Loss_D: -0.021687 Loss_G: 0.020501 Loss_D_real: -0.029086 Loss_D_fake -0.007399
[1032/5000][525/535][106459] Loss_D: -0.020960 Loss_G: -0.014788 Loss_D_real: -0.001719 Loss_D_fake 0.019240
[1032/5000][530/535][106460] Loss_D: -0.022261 Loss_G: 0.024575 Loss_D_real: -0.036396 Loss_D_fake -0.014135
[1032/5000][535/535][106461] Loss_D: -0.024361 Loss_G: 0.034392 Loss_D_real: -0.027610 Loss_D_fake -0.003249
[1033/5000][5/535][106462] Loss_D: -0.023444 Loss_G: -0.002295 Loss_D_real: -0.008979 Loss_D_fake 0.014465
[1033/5000][10/535][106463] Loss_D: -0.023935 Loss_G: 0.007774 Loss_D_real: -0.018658 Loss_D_fake 0.005277
[1033/5000][15/535][106464] Loss_D: -0.022580 Loss_G: -0.013312 Loss_D_real: 0.000232 Loss_D_fake 0.022812
[1033/5000][20/535][106465] Loss_D: -0.022891 Loss_G: 0.024528 Loss_D_real: -0.026831 Loss_D_fake -0.003940
[1033/5000][25/535][106466] Loss_D: -0.022254 Loss_G: 0.024401 Loss_D_real: -0.035038 Loss_D_fake -0.012784
[1033/5000][30/535][106467] Loss_D: -0.022538 Loss_G: 0.017794 Loss_D_real: -0.020715 Loss_D_fake 0.001824
[1033/5000][35/535][106468] Loss_D: -0.024536 Loss_G: 0.003808 Loss_D_real: -0.013535 Loss_D_fake 0.011002
[1033/5000][40/535][106469] Loss_D: -0.021767 Loss_G: 0.011843 Loss_D_real: -0.027149 Loss_D_fake -0.005382
[1033/5000][45/535][106470] Loss_D: -0.023030 Loss_G: 0.011711 Loss_D_real: -0.017221 Loss_D_fake 0.005808
[1033/5000][50/535][106471] Loss_D: -0.021836 Loss_G: 0.014988 Loss_D_real: -0.027981 Loss_D_fake -0.006145
[1033/5000][55/535][106472] Loss_D: -0.022885 Loss_G: -0.001646 Loss_D_real: -0.009840 Loss_D_fake 0.013045
[1033/5000][60/535][106473] Loss_D: -0.021762 Loss_G: 0.001711 Loss_D_real: -0.012299 Loss_D_fake 0.009463
[1033/5000][65/535][106474] Loss_D: -0.023136 Loss_G: -0.001326 Loss_D_real: -0.011831 Loss_D_fake 0.011305
[1033/5000][70/535][106475] Loss_D: -0.022215 Loss_G: -0.001515 Loss_D_real: -0.004584 Loss_D_fake 0.017631
[1033/5000][75/535][106476] Loss_D: -0.022474 Loss_G: 0.006671 Loss_D_real: -0.020485 Loss_D_fake 0.001989
[1033/5000][80/535][106477] Loss_D: -0.022069 Loss_G: -0.008516 Loss_D_real: -0.011802 Loss_D_fake 0.010267
[1033/5000][85/535][106478] Loss_D: -0.022487 Loss_G: 0.004128 Loss_D_real: -0.021458 Loss_D_fake 0.001029
[1033/5000][90/535][106479] Loss_D: -0.023422 Loss_G: -0.001712 Loss_D_real: -0.008509 Loss_D_fake 0.014913
[1033/5000][95/535][106480] Loss_D: -0.023527 Loss_G: -0.004077 Loss_D_real: -0.012295 Loss_D_fake 0.011233
[1033/5000][100/535][106481] Loss_D: -0.022574 Loss_G: -0.006893 Loss_D_real: -0.023422 Loss_D_fake -0.000848
[1033/5000][105/535][106482] Loss_D: -0.021994 Loss_G: 0.020211 Loss_D_real: -0.018013 Loss_D_fake 0.003981
[1033/5000][110/535][106483] Loss_D: -0.022208 Loss_G: -0.001266 Loss_D_real: -0.022213 Loss_D_fake -0.000005
[1033/5000][115/535][106484] Loss_D: -0.023573 Loss_G: 0.013745 Loss_D_real: -0.021746 Loss_D_fake 0.001827
[1033/5000][120/535][106485] Loss_D: -0.022470 Loss_G: -0.006955 Loss_D_real: -0.006708 Loss_D_fake 0.015763
[1033/5000][125/535][106486] Loss_D: -0.023614 Loss_G: 0.013890 Loss_D_real: -0.021215 Loss_D_fake 0.002398
[1033/5000][130/535][106487] Loss_D: -0.021494 Loss_G: 0.019897 Loss_D_real: -0.026115 Loss_D_fake -0.004621
[1033/5000][135/535][106488] Loss_D: -0.022868 Loss_G: 0.001627 Loss_D_real: -0.023181 Loss_D_fake -0.000313
[1033/5000][140/535][106489] Loss_D: -0.021470 Loss_G: 0.016236 Loss_D_real: -0.020777 Loss_D_fake 0.000692
[1033/5000][145/535][106490] Loss_D: -0.022384 Loss_G: 0.003678 Loss_D_real: -0.021428 Loss_D_fake 0.000956
[1033/5000][150/535][106491] Loss_D: -0.022423 Loss_G: -0.000999 Loss_D_real: -0.014540 Loss_D_fake 0.007883
[1033/5000][155/535][106492] Loss_D: -0.023860 Loss_G: 0.013552 Loss_D_real: -0.016973 Loss_D_fake 0.006887
[1033/5000][160/535][106493] Loss_D: -0.022459 Loss_G: 0.022837 Loss_D_real: -0.031936 Loss_D_fake -0.009477
[1033/5000][165/535][106494] Loss_D: -0.021470 Loss_G: -0.017528 Loss_D_real: 0.001506 Loss_D_fake 0.022976
[1033/5000][170/535][106495] Loss_D: -0.022042 Loss_G: 0.012242 Loss_D_real: -0.021411 Loss_D_fake 0.000631
[1033/5000][175/535][106496] Loss_D: -0.021001 Loss_G: 0.017695 Loss_D_real: -0.028179 Loss_D_fake -0.007178
[1033/5000][180/535][106497] Loss_D: -0.022432 Loss_G: 0.018649 Loss_D_real: -0.024443 Loss_D_fake -0.002011
[1033/5000][185/535][106498] Loss_D: -0.022116 Loss_G: -0.011895 Loss_D_real: -0.005822 Loss_D_fake 0.016294
[1033/5000][190/535][106499] Loss_D: -0.022655 Loss_G: -0.006119 Loss_D_real: -0.013965 Loss_D_fake 0.008690
[1033/5000][195/535][106500] Loss_D: -0.022333 Loss_G: -0.002300 Loss_D_real: -0.015131 Loss_D_fake 0.007202
[1033/5000][295/535][106501] Loss_D: -0.025197 Loss_G: 0.026550 Loss_D_real: -0.027834 Loss_D_fake -0.002637
[1033/5000][300/535][106502] Loss_D: -0.021374 Loss_G: 0.005293 Loss_D_real: -0.009120 Loss_D_fake 0.012253
[1033/5000][305/535][106503] Loss_D: -0.021846 Loss_G: 0.005834 Loss_D_real: -0.024939 Loss_D_fake -0.003093
[1033/5000][310/535][106504] Loss_D: -0.020485 Loss_G: 0.015233 Loss_D_real: -0.021048 Loss_D_fake -0.000564
[1033/5000][315/535][106505] Loss_D: -0.021506 Loss_G: 0.019245 Loss_D_real: -0.026342 Loss_D_fake -0.004836
[1033/5000][320/535][106506] Loss_D: -0.021602 Loss_G: 0.009305 Loss_D_real: -0.020584 Loss_D_fake 0.001018
[1033/5000][325/535][106507] Loss_D: -0.022269 Loss_G: 0.006891 Loss_D_real: -0.012747 Loss_D_fake 0.009522
[1033/5000][330/535][106508] Loss_D: -0.022770 Loss_G: 0.001660 Loss_D_real: -0.025449 Loss_D_fake -0.002679
[1033/5000][335/535][106509] Loss_D: -0.021015 Loss_G: -0.019332 Loss_D_real: -0.000084 Loss_D_fake 0.020931
[1033/5000][340/535][106510] Loss_D: -0.020733 Loss_G: -0.015357 Loss_D_real: -0.002044 Loss_D_fake 0.018689
[1033/5000][345/535][106511] Loss_D: -0.021956 Loss_G: 0.002576 Loss_D_real: -0.016472 Loss_D_fake 0.005484
[1033/5000][350/535][106512] Loss_D: -0.020846 Loss_G: 0.007511 Loss_D_real: -0.014117 Loss_D_fake 0.006729
[1033/5000][355/535][106513] Loss_D: -0.020167 Loss_G: 0.023751 Loss_D_real: -0.025791 Loss_D_fake -0.005624
[1033/5000][360/535][106514] Loss_D: -0.021355 Loss_G: -0.008422 Loss_D_real: -0.015155 Loss_D_fake 0.006200
[1033/5000][365/535][106515] Loss_D: -0.021980 Loss_G: 0.005035 Loss_D_real: -0.008920 Loss_D_fake 0.013060
[1033/5000][370/535][106516] Loss_D: -0.021149 Loss_G: 0.000085 Loss_D_real: -0.001464 Loss_D_fake 0.019685
[1033/5000][375/535][106517] Loss_D: -0.021947 Loss_G: 0.009897 Loss_D_real: -0.018840 Loss_D_fake 0.003107
[1033/5000][380/535][106518] Loss_D: -0.022634 Loss_G: -0.008149 Loss_D_real: -0.005110 Loss_D_fake 0.017524
[1033/5000][385/535][106519] Loss_D: -0.023866 Loss_G: 0.028362 Loss_D_real: -0.027133 Loss_D_fake -0.003267
[1033/5000][390/535][106520] Loss_D: -0.021078 Loss_G: 0.011090 Loss_D_real: -0.030451 Loss_D_fake -0.009373
[1033/5000][395/535][106521] Loss_D: -0.021896 Loss_G: 0.003178 Loss_D_real: -0.022092 Loss_D_fake -0.000197
[1033/5000][400/535][106522] Loss_D: -0.023274 Loss_G: 0.009013 Loss_D_real: -0.019832 Loss_D_fake 0.003442
[1033/5000][405/535][106523] Loss_D: -0.021892 Loss_G: 0.019968 Loss_D_real: -0.031881 Loss_D_fake -0.009990
[1033/5000][410/535][106524] Loss_D: -0.022355 Loss_G: -0.017468 Loss_D_real: -0.007631 Loss_D_fake 0.014724
[1033/5000][415/535][106525] Loss_D: -0.020473 Loss_G: 0.014237 Loss_D_real: -0.025012 Loss_D_fake -0.004539
[1033/5000][420/535][106526] Loss_D: -0.023050 Loss_G: 0.020624 Loss_D_real: -0.029185 Loss_D_fake -0.006135
[1033/5000][425/535][106527] Loss_D: -0.022512 Loss_G: 0.017182 Loss_D_real: -0.035324 Loss_D_fake -0.012813
[1033/5000][430/535][106528] Loss_D: -0.021170 Loss_G: -0.011271 Loss_D_real: -0.006940 Loss_D_fake 0.014230
[1033/5000][435/535][106529] Loss_D: -0.022614 Loss_G: 0.011180 Loss_D_real: -0.024754 Loss_D_fake -0.002140
[1033/5000][440/535][106530] Loss_D: -0.021567 Loss_G: 0.014269 Loss_D_real: -0.019872 Loss_D_fake 0.001695
[1033/5000][445/535][106531] Loss_D: -0.022894 Loss_G: 0.002242 Loss_D_real: -0.016488 Loss_D_fake 0.006406
[1033/5000][450/535][106532] Loss_D: -0.022593 Loss_G: 0.011631 Loss_D_real: -0.010821 Loss_D_fake 0.011772
[1033/5000][455/535][106533] Loss_D: -0.021549 Loss_G: 0.004789 Loss_D_real: -0.024659 Loss_D_fake -0.003109
[1033/5000][460/535][106534] Loss_D: -0.023889 Loss_G: 0.009303 Loss_D_real: -0.009909 Loss_D_fake 0.013980
[1033/5000][465/535][106535] Loss_D: -0.022309 Loss_G: -0.010365 Loss_D_real: 0.011780 Loss_D_fake 0.034090
[1033/5000][470/535][106536] Loss_D: -0.022224 Loss_G: 0.013877 Loss_D_real: -0.031817 Loss_D_fake -0.009593
[1033/5000][475/535][106537] Loss_D: -0.021922 Loss_G: -0.019277 Loss_D_real: -0.002759 Loss_D_fake 0.019164
[1033/5000][480/535][106538] Loss_D: -0.021190 Loss_G: 0.011060 Loss_D_real: -0.016574 Loss_D_fake 0.004616
[1033/5000][485/535][106539] Loss_D: -0.022353 Loss_G: 0.011217 Loss_D_real: -0.019465 Loss_D_fake 0.002888
[1033/5000][490/535][106540] Loss_D: -0.020997 Loss_G: 0.028993 Loss_D_real: -0.022381 Loss_D_fake -0.001384
[1033/5000][495/535][106541] Loss_D: -0.022205 Loss_G: 0.011399 Loss_D_real: -0.011312 Loss_D_fake 0.010893
[1033/5000][500/535][106542] Loss_D: -0.021861 Loss_G: -0.004610 Loss_D_real: -0.011099 Loss_D_fake 0.010762
[1033/5000][505/535][106543] Loss_D: -0.021840 Loss_G: 0.022437 Loss_D_real: -0.033797 Loss_D_fake -0.011957
[1033/5000][510/535][106544] Loss_D: -0.021106 Loss_G: 0.003743 Loss_D_real: -0.013494 Loss_D_fake 0.007612
[1033/5000][515/535][106545] Loss_D: -0.022821 Loss_G: 0.013955 Loss_D_real: -0.021170 Loss_D_fake 0.001652
[1033/5000][520/535][106546] Loss_D: -0.022632 Loss_G: -0.007241 Loss_D_real: -0.004946 Loss_D_fake 0.017686
[1033/5000][525/535][106547] Loss_D: -0.023016 Loss_G: -0.002397 Loss_D_real: -0.021280 Loss_D_fake 0.001737
[1033/5000][530/535][106548] Loss_D: -0.021532 Loss_G: 0.006570 Loss_D_real: -0.011423 Loss_D_fake 0.010109
[1033/5000][535/535][106549] Loss_D: -0.026360 Loss_G: 0.024229 Loss_D_real: -0.007668 Loss_D_fake 0.018692
[1034/5000][5/535][106550] Loss_D: -0.023349 Loss_G: -0.001528 Loss_D_real: -0.011302 Loss_D_fake 0.012047
[1034/5000][10/535][106551] Loss_D: -0.022142 Loss_G: 0.013543 Loss_D_real: -0.031807 Loss_D_fake -0.009665
[1034/5000][15/535][106552] Loss_D: -0.021432 Loss_G: 0.007689 Loss_D_real: -0.022177 Loss_D_fake -0.000745
[1034/5000][20/535][106553] Loss_D: -0.022647 Loss_G: 0.021154 Loss_D_real: -0.025693 Loss_D_fake -0.003046
[1034/5000][25/535][106554] Loss_D: -0.021768 Loss_G: -0.011745 Loss_D_real: 0.000442 Loss_D_fake 0.022209
[1034/5000][30/535][106555] Loss_D: -0.021254 Loss_G: 0.010670 Loss_D_real: -0.037789 Loss_D_fake -0.016535
[1034/5000][35/535][106556] Loss_D: -0.022747 Loss_G: -0.003396 Loss_D_real: -0.010896 Loss_D_fake 0.011851
[1034/5000][40/535][106557] Loss_D: -0.022774 Loss_G: 0.006175 Loss_D_real: -0.031029 Loss_D_fake -0.008256
[1034/5000][45/535][106558] Loss_D: -0.023857 Loss_G: 0.001898 Loss_D_real: -0.020009 Loss_D_fake 0.003848
[1034/5000][50/535][106559] Loss_D: -0.022798 Loss_G: 0.015852 Loss_D_real: -0.010257 Loss_D_fake 0.012540
[1034/5000][55/535][106560] Loss_D: -0.021745 Loss_G: -0.003752 Loss_D_real: -0.012673 Loss_D_fake 0.009072
[1034/5000][60/535][106561] Loss_D: -0.023620 Loss_G: 0.007994 Loss_D_real: -0.008504 Loss_D_fake 0.015116
[1034/5000][65/535][106562] Loss_D: -0.022318 Loss_G: 0.009546 Loss_D_real: -0.016958 Loss_D_fake 0.005361
[1034/5000][70/535][106563] Loss_D: -0.022072 Loss_G: 0.009345 Loss_D_real: -0.020927 Loss_D_fake 0.001145
[1034/5000][75/535][106564] Loss_D: -0.022339 Loss_G: 0.021253 Loss_D_real: -0.035438 Loss_D_fake -0.013099
[1034/5000][80/535][106565] Loss_D: -0.024297 Loss_G: 0.011931 Loss_D_real: -0.019631 Loss_D_fake 0.004667
[1034/5000][85/535][106566] Loss_D: -0.023672 Loss_G: 0.016548 Loss_D_real: -0.033379 Loss_D_fake -0.009707
[1034/5000][90/535][106567] Loss_D: -0.024208 Loss_G: 0.004777 Loss_D_real: -0.019379 Loss_D_fake 0.004829
[1034/5000][95/535][106568] Loss_D: -0.023051 Loss_G: 0.015854 Loss_D_real: -0.032964 Loss_D_fake -0.009913
[1034/5000][100/535][106569] Loss_D: -0.022374 Loss_G: 0.021508 Loss_D_real: -0.033838 Loss_D_fake -0.011464
[1034/5000][105/535][106570] Loss_D: -0.023822 Loss_G: 0.014355 Loss_D_real: -0.028321 Loss_D_fake -0.004499
[1034/5000][110/535][106571] Loss_D: -0.021879 Loss_G: 0.020081 Loss_D_real: -0.030628 Loss_D_fake -0.008749
[1034/5000][115/535][106572] Loss_D: -0.020949 Loss_G: 0.027943 Loss_D_real: -0.042649 Loss_D_fake -0.021700
[1034/5000][120/535][106573] Loss_D: -0.022543 Loss_G: 0.004791 Loss_D_real: -0.021103 Loss_D_fake 0.001440
[1034/5000][125/535][106574] Loss_D: -0.023191 Loss_G: 0.007826 Loss_D_real: -0.019560 Loss_D_fake 0.003631
[1034/5000][130/535][106575] Loss_D: -0.023242 Loss_G: 0.009517 Loss_D_real: -0.025664 Loss_D_fake -0.002422
[1034/5000][135/535][106576] Loss_D: -0.021879 Loss_G: -0.005099 Loss_D_real: -0.002009 Loss_D_fake 0.019870
[1034/5000][140/535][106577] Loss_D: -0.023253 Loss_G: 0.003466 Loss_D_real: -0.021140 Loss_D_fake 0.002113
[1034/5000][145/535][106578] Loss_D: -0.022223 Loss_G: -0.001635 Loss_D_real: -0.018709 Loss_D_fake 0.003514
[1034/5000][150/535][106579] Loss_D: -0.022882 Loss_G: 0.025176 Loss_D_real: -0.020240 Loss_D_fake 0.002642
[1034/5000][155/535][106580] Loss_D: -0.022268 Loss_G: 0.016559 Loss_D_real: -0.024584 Loss_D_fake -0.002315
[1034/5000][160/535][106581] Loss_D: -0.022050 Loss_G: 0.002722 Loss_D_real: -0.022500 Loss_D_fake -0.000450
[1034/5000][165/535][106582] Loss_D: -0.022644 Loss_G: 0.013025 Loss_D_real: -0.023504 Loss_D_fake -0.000860
[1034/5000][170/535][106583] Loss_D: -0.021158 Loss_G: 0.014616 Loss_D_real: -0.027654 Loss_D_fake -0.006495
[1034/5000][175/535][106584] Loss_D: -0.022087 Loss_G: 0.016716 Loss_D_real: -0.036008 Loss_D_fake -0.013921
[1034/5000][180/535][106585] Loss_D: -0.022057 Loss_G: 0.010844 Loss_D_real: -0.025956 Loss_D_fake -0.003899
[1034/5000][185/535][106586] Loss_D: -0.023464 Loss_G: -0.008128 Loss_D_real: -0.011628 Loss_D_fake 0.011837
[1034/5000][190/535][106587] Loss_D: -0.021426 Loss_G: 0.009063 Loss_D_real: -0.023654 Loss_D_fake -0.002228
[1034/5000][195/535][106588] Loss_D: -0.022337 Loss_G: 0.009094 Loss_D_real: -0.016950 Loss_D_fake 0.005386
[1034/5000][200/535][106589] Loss_D: -0.022680 Loss_G: 0.010181 Loss_D_real: -0.023535 Loss_D_fake -0.000855
[1034/5000][205/535][106590] Loss_D: -0.022828 Loss_G: 0.011447 Loss_D_real: -0.010556 Loss_D_fake 0.012271
[1034/5000][210/535][106591] Loss_D: -0.023709 Loss_G: 0.008497 Loss_D_real: -0.022561 Loss_D_fake 0.001148
[1034/5000][215/535][106592] Loss_D: -0.020332 Loss_G: -0.005412 Loss_D_real: -0.013512 Loss_D_fake 0.006820
[1034/5000][220/535][106593] Loss_D: -0.021731 Loss_G: 0.021184 Loss_D_real: -0.027438 Loss_D_fake -0.005707
[1034/5000][225/535][106594] Loss_D: -0.022349 Loss_G: 0.006226 Loss_D_real: -0.018083 Loss_D_fake 0.004266
[1034/5000][230/535][106595] Loss_D: -0.022332 Loss_G: 0.008324 Loss_D_real: -0.021417 Loss_D_fake 0.000915
[1034/5000][235/535][106596] Loss_D: -0.023119 Loss_G: 0.013987 Loss_D_real: -0.027711 Loss_D_fake -0.004592
[1034/5000][240/535][106597] Loss_D: -0.022708 Loss_G: -0.002792 Loss_D_real: 0.001290 Loss_D_fake 0.023998
[1034/5000][245/535][106598] Loss_D: -0.021438 Loss_G: 0.007577 Loss_D_real: -0.017471 Loss_D_fake 0.003968
[1034/5000][250/535][106599] Loss_D: -0.022187 Loss_G: -0.003163 Loss_D_real: -0.002329 Loss_D_fake 0.019858
[1034/5000][255/535][106600] Loss_D: -0.021959 Loss_G: 0.008455 Loss_D_real: -0.026577 Loss_D_fake -0.004618
[1034/5000][260/535][106601] Loss_D: -0.022465 Loss_G: 0.006585 Loss_D_real: -0.025206 Loss_D_fake -0.002742
[1034/5000][265/535][106602] Loss_D: -0.020771 Loss_G: 0.012522 Loss_D_real: -0.030292 Loss_D_fake -0.009521
[1034/5000][270/535][106603] Loss_D: -0.020181 Loss_G: 0.023932 Loss_D_real: -0.039946 Loss_D_fake -0.019765
[1034/5000][275/535][106604] Loss_D: -0.024032 Loss_G: -0.006492 Loss_D_real: -0.013332 Loss_D_fake 0.010701
[1034/5000][280/535][106605] Loss_D: -0.023024 Loss_G: 0.004428 Loss_D_real: -0.006185 Loss_D_fake 0.016839
[1034/5000][285/535][106606] Loss_D: -0.021405 Loss_G: 0.020880 Loss_D_real: -0.035216 Loss_D_fake -0.013811
[1034/5000][290/535][106607] Loss_D: -0.021931 Loss_G: -0.001816 Loss_D_real: -0.018705 Loss_D_fake 0.003226
[1034/5000][295/535][106608] Loss_D: -0.022171 Loss_G: 0.004468 Loss_D_real: -0.020133 Loss_D_fake 0.002038
[1034/5000][300/535][106609] Loss_D: -0.023754 Loss_G: -0.005276 Loss_D_real: -0.009149 Loss_D_fake 0.014606
[1034/5000][305/535][106610] Loss_D: -0.021934 Loss_G: 0.021533 Loss_D_real: -0.035386 Loss_D_fake -0.013453
[1034/5000][310/535][106611] Loss_D: -0.022643 Loss_G: 0.014137 Loss_D_real: -0.013725 Loss_D_fake 0.008918
[1034/5000][315/535][106612] Loss_D: -0.022301 Loss_G: -0.006124 Loss_D_real: -0.010802 Loss_D_fake 0.011499
[1034/5000][320/535][106613] Loss_D: -0.022364 Loss_G: 0.002174 Loss_D_real: -0.005432 Loss_D_fake 0.016932
[1034/5000][325/535][106614] Loss_D: -0.021759 Loss_G: -0.000821 Loss_D_real: -0.015203 Loss_D_fake 0.006556
[1034/5000][330/535][106615] Loss_D: -0.023480 Loss_G: 0.005138 Loss_D_real: -0.000686 Loss_D_fake 0.022793
[1034/5000][335/535][106616] Loss_D: -0.020861 Loss_G: 0.026470 Loss_D_real: -0.025105 Loss_D_fake -0.004244
[1034/5000][340/535][106617] Loss_D: -0.022073 Loss_G: 0.016063 Loss_D_real: -0.035457 Loss_D_fake -0.013385
[1034/5000][345/535][106618] Loss_D: -0.022253 Loss_G: -0.000761 Loss_D_real: -0.013790 Loss_D_fake 0.008463
[1034/5000][350/535][106619] Loss_D: -0.023167 Loss_G: 0.003810 Loss_D_real: -0.020190 Loss_D_fake 0.002977
[1034/5000][355/535][106620] Loss_D: -0.023100 Loss_G: 0.014252 Loss_D_real: -0.029150 Loss_D_fake -0.006050
[1034/5000][360/535][106621] Loss_D: -0.024164 Loss_G: 0.014732 Loss_D_real: -0.028904 Loss_D_fake -0.004739
[1034/5000][365/535][106622] Loss_D: -0.023043 Loss_G: -0.011479 Loss_D_real: -0.006529 Loss_D_fake 0.016515
[1034/5000][370/535][106623] Loss_D: -0.021977 Loss_G: -0.010921 Loss_D_real: -0.012264 Loss_D_fake 0.009713
[1034/5000][375/535][106624] Loss_D: -0.023084 Loss_G: -0.000636 Loss_D_real: -0.016051 Loss_D_fake 0.007032
[1034/5000][380/535][106625] Loss_D: -0.023052 Loss_G: 0.023456 Loss_D_real: -0.028661 Loss_D_fake -0.005609
[1034/5000][385/535][106626] Loss_D: -0.020125 Loss_G: -0.024420 Loss_D_real: 0.007541 Loss_D_fake 0.027665
[1034/5000][390/535][106627] Loss_D: -0.020732 Loss_G: -0.007508 Loss_D_real: -0.007451 Loss_D_fake 0.013281
[1034/5000][395/535][106628] Loss_D: -0.021912 Loss_G: 0.017697 Loss_D_real: -0.019683 Loss_D_fake 0.002229
[1034/5000][400/535][106629] Loss_D: -0.023208 Loss_G: 0.013536 Loss_D_real: -0.028601 Loss_D_fake -0.005394
[1034/5000][405/535][106630] Loss_D: -0.021573 Loss_G: 0.005002 Loss_D_real: -0.017829 Loss_D_fake 0.003744
[1034/5000][410/535][106631] Loss_D: -0.021695 Loss_G: 0.012246 Loss_D_real: -0.027531 Loss_D_fake -0.005836
[1034/5000][415/535][106632] Loss_D: -0.020707 Loss_G: -0.013984 Loss_D_real: 0.011404 Loss_D_fake 0.032111
[1034/5000][420/535][106633] Loss_D: -0.022655 Loss_G: 0.018986 Loss_D_real: -0.020526 Loss_D_fake 0.002129
[1034/5000][425/535][106634] Loss_D: -0.023118 Loss_G: 0.011984 Loss_D_real: -0.017635 Loss_D_fake 0.005483
[1034/5000][430/535][106635] Loss_D: -0.022798 Loss_G: 0.006430 Loss_D_real: -0.022510 Loss_D_fake 0.000287
[1034/5000][435/535][106636] Loss_D: -0.023848 Loss_G: 0.003047 Loss_D_real: -0.016226 Loss_D_fake 0.007623
[1034/5000][440/535][106637] Loss_D: -0.022266 Loss_G: -0.010226 Loss_D_real: -0.001013 Loss_D_fake 0.021253
[1034/5000][445/535][106638] Loss_D: -0.021398 Loss_G: -0.007624 Loss_D_real: -0.008790 Loss_D_fake 0.012608
[1034/5000][450/535][106639] Loss_D: -0.022702 Loss_G: -0.000520 Loss_D_real: -0.018952 Loss_D_fake 0.003749
[1034/5000][455/535][106640] Loss_D: -0.023150 Loss_G: 0.012797 Loss_D_real: -0.022707 Loss_D_fake 0.000443
[1034/5000][460/535][106641] Loss_D: -0.023118 Loss_G: -0.000238 Loss_D_real: -0.011722 Loss_D_fake 0.011396
[1034/5000][465/535][106642] Loss_D: -0.023623 Loss_G: 0.010102 Loss_D_real: -0.009618 Loss_D_fake 0.014005
[1034/5000][470/535][106643] Loss_D: -0.022276 Loss_G: 0.007366 Loss_D_real: -0.022723 Loss_D_fake -0.000448
[1034/5000][475/535][106644] Loss_D: -0.022223 Loss_G: 0.007390 Loss_D_real: -0.024746 Loss_D_fake -0.002523
[1034/5000][480/535][106645] Loss_D: -0.021698 Loss_G: 0.030838 Loss_D_real: -0.031288 Loss_D_fake -0.009590
[1034/5000][485/535][106646] Loss_D: -0.021873 Loss_G: -0.007691 Loss_D_real: -0.006804 Loss_D_fake 0.015068
[1034/5000][490/535][106647] Loss_D: -0.023230 Loss_G: 0.021413 Loss_D_real: -0.031351 Loss_D_fake -0.008121
[1034/5000][495/535][106648] Loss_D: -0.022142 Loss_G: 0.005699 Loss_D_real: -0.029567 Loss_D_fake -0.007425
[1034/5000][500/535][106649] Loss_D: -0.022720 Loss_G: 0.003911 Loss_D_real: -0.019038 Loss_D_fake 0.003682
[1034/5000][505/535][106650] Loss_D: -0.021535 Loss_G: -0.002415 Loss_D_real: -0.004492 Loss_D_fake 0.017043
[1034/5000][510/535][106651] Loss_D: -0.020957 Loss_G: 0.022199 Loss_D_real: -0.036552 Loss_D_fake -0.015595
[1034/5000][515/535][106652] Loss_D: -0.022919 Loss_G: 0.008610 Loss_D_real: -0.016441 Loss_D_fake 0.006478
[1034/5000][520/535][106653] Loss_D: -0.021287 Loss_G: 0.003377 Loss_D_real: -0.014971 Loss_D_fake 0.006316
[1034/5000][525/535][106654] Loss_D: -0.022788 Loss_G: -0.001268 Loss_D_real: -0.000213 Loss_D_fake 0.022575
[1034/5000][530/535][106655] Loss_D: -0.020998 Loss_G: 0.012173 Loss_D_real: -0.011058 Loss_D_fake 0.009940
[1034/5000][535/535][106656] Loss_D: -0.022605 Loss_G: 0.010952 Loss_D_real: -0.022913 Loss_D_fake -0.000308
[1035/5000][5/535][106657] Loss_D: -0.022416 Loss_G: -0.002649 Loss_D_real: -0.013877 Loss_D_fake 0.008539
[1035/5000][10/535][106658] Loss_D: -0.023604 Loss_G: 0.012739 Loss_D_real: -0.017021 Loss_D_fake 0.006583
[1035/5000][15/535][106659] Loss_D: -0.021241 Loss_G: 0.018187 Loss_D_real: -0.037466 Loss_D_fake -0.016225
[1035/5000][20/535][106660] Loss_D: -0.021306 Loss_G: -0.016524 Loss_D_real: -0.011703 Loss_D_fake 0.009603
[1035/5000][25/535][106661] Loss_D: -0.022759 Loss_G: 0.024851 Loss_D_real: -0.034788 Loss_D_fake -0.012029
[1035/5000][30/535][106662] Loss_D: -0.022055 Loss_G: 0.001160 Loss_D_real: -0.003831 Loss_D_fake 0.018224
[1035/5000][35/535][106663] Loss_D: -0.020474 Loss_G: 0.021977 Loss_D_real: -0.039701 Loss_D_fake -0.019228
[1035/5000][40/535][106664] Loss_D: -0.023254 Loss_G: 0.004415 Loss_D_real: -0.018248 Loss_D_fake 0.005006
[1035/5000][45/535][106665] Loss_D: -0.022006 Loss_G: -0.008810 Loss_D_real: 0.003107 Loss_D_fake 0.025113
[1035/5000][50/535][106666] Loss_D: -0.022654 Loss_G: 0.004140 Loss_D_real: -0.024425 Loss_D_fake -0.001771
[1035/5000][55/535][106667] Loss_D: -0.023054 Loss_G: 0.015968 Loss_D_real: -0.016913 Loss_D_fake 0.006140
[1035/5000][60/535][106668] Loss_D: -0.021674 Loss_G: 0.019030 Loss_D_real: -0.025679 Loss_D_fake -0.004005
[1035/5000][65/535][106669] Loss_D: -0.022042 Loss_G: 0.012690 Loss_D_real: -0.018453 Loss_D_fake 0.003589
[1035/5000][70/535][106670] Loss_D: -0.022722 Loss_G: 0.021993 Loss_D_real: -0.028960 Loss_D_fake -0.006238
[1035/5000][75/535][106671] Loss_D: -0.022425 Loss_G: -0.006722 Loss_D_real: -0.002837 Loss_D_fake 0.019589
[1035/5000][80/535][106672] Loss_D: -0.023075 Loss_G: 0.018707 Loss_D_real: -0.021506 Loss_D_fake 0.001569
[1035/5000][85/535][106673] Loss_D: -0.023869 Loss_G: 0.008460 Loss_D_real: -0.034849 Loss_D_fake -0.010980
[1035/5000][90/535][106674] Loss_D: -0.022249 Loss_G: 0.010288 Loss_D_real: -0.021743 Loss_D_fake 0.000506
[1035/5000][95/535][106675] Loss_D: -0.022540 Loss_G: 0.031528 Loss_D_real: -0.018649 Loss_D_fake 0.003891
[1035/5000][100/535][106676] Loss_D: -0.020879 Loss_G: 0.023742 Loss_D_real: -0.023199 Loss_D_fake -0.002320
[1035/5000][105/535][106677] Loss_D: -0.022807 Loss_G: -0.005505 Loss_D_real: -0.011929 Loss_D_fake 0.010878
[1035/5000][110/535][106678] Loss_D: -0.022018 Loss_G: 0.011930 Loss_D_real: -0.013467 Loss_D_fake 0.008550
[1035/5000][115/535][106679] Loss_D: -0.019782 Loss_G: 0.014118 Loss_D_real: -0.027783 Loss_D_fake -0.008002
[1035/5000][120/535][106680] Loss_D: -0.020382 Loss_G: 0.027909 Loss_D_real: -0.035490 Loss_D_fake -0.015108
[1035/5000][125/535][106681] Loss_D: -0.022810 Loss_G: -0.003662 Loss_D_real: -0.018316 Loss_D_fake 0.004495
[1035/5000][130/535][106682] Loss_D: -0.023002 Loss_G: 0.000050 Loss_D_real: -0.019497 Loss_D_fake 0.003505
[1035/5000][135/535][106683] Loss_D: -0.022931 Loss_G: 0.006652 Loss_D_real: -0.015948 Loss_D_fake 0.006983
[1035/5000][140/535][106684] Loss_D: -0.022859 Loss_G: 0.011243 Loss_D_real: -0.024776 Loss_D_fake -0.001917
[1035/5000][145/535][106685] Loss_D: -0.023030 Loss_G: 0.023325 Loss_D_real: -0.026676 Loss_D_fake -0.003646
[1035/5000][150/535][106686] Loss_D: -0.022828 Loss_G: -0.003089 Loss_D_real: -0.009418 Loss_D_fake 0.013409
[1035/5000][155/535][106687] Loss_D: -0.022548 Loss_G: 0.033495 Loss_D_real: -0.027736 Loss_D_fake -0.005188
[1035/5000][160/535][106688] Loss_D: -0.022072 Loss_G: 0.002666 Loss_D_real: -0.022077 Loss_D_fake -0.000005
[1035/5000][165/535][106689] Loss_D: -0.022158 Loss_G: 0.005086 Loss_D_real: -0.015922 Loss_D_fake 0.006235
[1035/5000][170/535][106690] Loss_D: -0.022061 Loss_G: 0.011189 Loss_D_real: -0.033068 Loss_D_fake -0.011007
[1035/5000][175/535][106691] Loss_D: -0.024388 Loss_G: 0.019583 Loss_D_real: -0.032402 Loss_D_fake -0.008013
[1035/5000][180/535][106692] Loss_D: -0.022909 Loss_G: -0.010083 Loss_D_real: -0.007895 Loss_D_fake 0.015014
[1035/5000][185/535][106693] Loss_D: -0.022352 Loss_G: 0.019397 Loss_D_real: -0.025870 Loss_D_fake -0.003518
[1035/5000][190/535][106694] Loss_D: -0.021300 Loss_G: 0.009277 Loss_D_real: -0.026348 Loss_D_fake -0.005048
[1035/5000][195/535][106695] Loss_D: -0.022465 Loss_G: 0.004279 Loss_D_real: -0.023395 Loss_D_fake -0.000930
[1035/5000][200/535][106696] Loss_D: -0.021247 Loss_G: 0.012649 Loss_D_real: -0.020810 Loss_D_fake 0.000437
[1035/5000][205/535][106697] Loss_D: -0.023100 Loss_G: 0.007012 Loss_D_real: -0.026584 Loss_D_fake -0.003484
[1035/5000][210/535][106698] Loss_D: -0.021610 Loss_G: 0.010691 Loss_D_real: -0.016231 Loss_D_fake 0.005379
[1035/5000][215/535][106699] Loss_D: -0.022835 Loss_G: 0.008568 Loss_D_real: -0.016330 Loss_D_fake 0.006505
[1035/5000][220/535][106700] Loss_D: -0.021849 Loss_G: -0.016441 Loss_D_real: -0.005325 Loss_D_fake 0.016524
[1035/5000][225/535][106701] Loss_D: -0.022941 Loss_G: 0.009500 Loss_D_real: -0.018279 Loss_D_fake 0.004662
[1035/5000][230/535][106702] Loss_D: -0.020052 Loss_G: -0.023816 Loss_D_real: 0.006536 Loss_D_fake 0.026588
[1035/5000][235/535][106703] Loss_D: -0.022643 Loss_G: 0.011193 Loss_D_real: -0.014331 Loss_D_fake 0.008312
[1035/5000][240/535][106704] Loss_D: -0.022244 Loss_G: 0.009169 Loss_D_real: -0.013161 Loss_D_fake 0.009083
[1035/5000][245/535][106705] Loss_D: -0.022788 Loss_G: -0.002074 Loss_D_real: -0.014707 Loss_D_fake 0.008081
[1035/5000][250/535][106706] Loss_D: -0.022403 Loss_G: 0.002895 Loss_D_real: -0.014181 Loss_D_fake 0.008222
[1035/5000][255/535][106707] Loss_D: -0.022178 Loss_G: -0.000630 Loss_D_real: -0.008863 Loss_D_fake 0.013315
[1035/5000][260/535][106708] Loss_D: -0.021887 Loss_G: 0.015536 Loss_D_real: -0.025309 Loss_D_fake -0.003422
[1035/5000][265/535][106709] Loss_D: -0.021079 Loss_G: 0.024663 Loss_D_real: -0.023539 Loss_D_fake -0.002460
[1035/5000][270/535][106710] Loss_D: -0.020994 Loss_G: -0.010318 Loss_D_real: -0.004546 Loss_D_fake 0.016448
[1035/5000][275/535][106711] Loss_D: -0.021759 Loss_G: 0.023052 Loss_D_real: -0.033984 Loss_D_fake -0.012225
[1035/5000][280/535][106712] Loss_D: -0.023119 Loss_G: 0.023066 Loss_D_real: -0.022726 Loss_D_fake 0.000393
[1035/5000][285/535][106713] Loss_D: -0.023246 Loss_G: 0.007624 Loss_D_real: -0.018664 Loss_D_fake 0.004582
[1035/5000][290/535][106714] Loss_D: -0.023093 Loss_G: 0.010134 Loss_D_real: -0.016474 Loss_D_fake 0.006620
[1035/5000][295/535][106715] Loss_D: -0.023227 Loss_G: 0.000495 Loss_D_real: -0.007105 Loss_D_fake 0.016121
[1035/5000][300/535][106716] Loss_D: -0.022223 Loss_G: 0.024544 Loss_D_real: -0.032444 Loss_D_fake -0.010221
[1035/5000][305/535][106717] Loss_D: -0.022094 Loss_G: -0.004804 Loss_D_real: -0.004423 Loss_D_fake 0.017670
[1035/5000][310/535][106718] Loss_D: -0.022116 Loss_G: 0.001349 Loss_D_real: -0.019595 Loss_D_fake 0.002521
[1035/5000][315/535][106719] Loss_D: -0.021834 Loss_G: -0.021135 Loss_D_real: -0.005929 Loss_D_fake 0.015904
[1035/5000][320/535][106720] Loss_D: -0.021178 Loss_G: 0.020430 Loss_D_real: -0.029847 Loss_D_fake -0.008669
[1035/5000][325/535][106721] Loss_D: -0.022151 Loss_G: -0.002511 Loss_D_real: -0.006652 Loss_D_fake 0.015500
[1035/5000][330/535][106722] Loss_D: -0.021358 Loss_G: 0.005406 Loss_D_real: -0.027100 Loss_D_fake -0.005741
[1035/5000][335/535][106723] Loss_D: -0.021201 Loss_G: 0.009383 Loss_D_real: -0.027425 Loss_D_fake -0.006224
[1035/5000][340/535][106724] Loss_D: -0.023380 Loss_G: 0.003937 Loss_D_real: -0.009767 Loss_D_fake 0.013613
[1035/5000][345/535][106725] Loss_D: -0.023133 Loss_G: 0.021022 Loss_D_real: -0.034277 Loss_D_fake -0.011144
[1035/5000][350/535][106726] Loss_D: -0.021824 Loss_G: -0.013215 Loss_D_real: 0.002587 Loss_D_fake 0.024411
[1035/5000][355/535][106727] Loss_D: -0.021626 Loss_G: -0.002986 Loss_D_real: -0.007415 Loss_D_fake 0.014210
[1035/5000][360/535][106728] Loss_D: -0.021550 Loss_G: 0.012976 Loss_D_real: -0.028515 Loss_D_fake -0.006965
[1035/5000][365/535][106729] Loss_D: -0.022456 Loss_G: 0.022061 Loss_D_real: -0.021982 Loss_D_fake 0.000475
[1035/5000][370/535][106730] Loss_D: -0.023518 Loss_G: -0.009712 Loss_D_real: -0.017194 Loss_D_fake 0.006324
[1035/5000][375/535][106731] Loss_D: -0.022928 Loss_G: 0.002619 Loss_D_real: -0.011421 Loss_D_fake 0.011506
[1035/5000][380/535][106732] Loss_D: -0.022876 Loss_G: 0.001500 Loss_D_real: -0.012143 Loss_D_fake 0.010733
[1035/5000][385/535][106733] Loss_D: -0.023351 Loss_G: 0.006148 Loss_D_real: -0.025171 Loss_D_fake -0.001819
[1035/5000][390/535][106734] Loss_D: -0.022344 Loss_G: 0.011239 Loss_D_real: -0.015023 Loss_D_fake 0.007322
[1035/5000][395/535][106735] Loss_D: -0.023105 Loss_G: 0.017839 Loss_D_real: -0.036220 Loss_D_fake -0.013115
[1035/5000][400/535][106736] Loss_D: -0.022463 Loss_G: 0.033741 Loss_D_real: -0.031448 Loss_D_fake -0.008984
[1035/5000][405/535][106737] Loss_D: -0.023247 Loss_G: 0.014403 Loss_D_real: -0.026149 Loss_D_fake -0.002902
[1035/5000][410/535][106738] Loss_D: -0.020333 Loss_G: -0.020708 Loss_D_real: 0.007665 Loss_D_fake 0.027998
[1035/5000][415/535][106739] Loss_D: -0.022379 Loss_G: 0.003802 Loss_D_real: -0.016659 Loss_D_fake 0.005720
[1035/5000][420/535][106740] Loss_D: -0.023902 Loss_G: 0.003306 Loss_D_real: -0.006395 Loss_D_fake 0.017508
[1035/5000][425/535][106741] Loss_D: -0.020773 Loss_G: 0.018446 Loss_D_real: -0.033888 Loss_D_fake -0.013115
[1035/5000][430/535][106742] Loss_D: -0.021716 Loss_G: -0.009795 Loss_D_real: -0.011819 Loss_D_fake 0.009897
[1035/5000][435/535][106743] Loss_D: -0.022461 Loss_G: 0.009344 Loss_D_real: -0.028355 Loss_D_fake -0.005894
[1035/5000][440/535][106744] Loss_D: -0.021677 Loss_G: 0.027305 Loss_D_real: -0.029887 Loss_D_fake -0.008210
[1035/5000][445/535][106745] Loss_D: -0.022905 Loss_G: 0.022082 Loss_D_real: -0.024471 Loss_D_fake -0.001565
[1035/5000][450/535][106746] Loss_D: -0.021350 Loss_G: -0.004923 Loss_D_real: -0.005654 Loss_D_fake 0.015696
[1035/5000][455/535][106747] Loss_D: -0.021815 Loss_G: 0.018613 Loss_D_real: -0.029632 Loss_D_fake -0.007817
[1035/5000][460/535][106748] Loss_D: -0.020995 Loss_G: 0.030853 Loss_D_real: -0.035611 Loss_D_fake -0.014617
[1035/5000][465/535][106749] Loss_D: -0.023066 Loss_G: 0.006380 Loss_D_real: -0.029579 Loss_D_fake -0.006513
[1035/5000][470/535][106750] Loss_D: -0.023636 Loss_G: 0.004891 Loss_D_real: -0.016811 Loss_D_fake 0.006825
[1035/5000][475/535][106751] Loss_D: -0.021129 Loss_G: 0.023372 Loss_D_real: -0.029370 Loss_D_fake -0.008240
[1035/5000][480/535][106752] Loss_D: -0.022739 Loss_G: 0.007627 Loss_D_real: -0.026456 Loss_D_fake -0.003717
[1035/5000][485/535][106753] Loss_D: -0.022876 Loss_G: 0.006904 Loss_D_real: -0.016983 Loss_D_fake 0.005893
[1035/5000][490/535][106754] Loss_D: -0.022127 Loss_G: -0.000246 Loss_D_real: -0.015952 Loss_D_fake 0.006175
[1035/5000][495/535][106755] Loss_D: -0.021593 Loss_G: 0.008692 Loss_D_real: -0.028048 Loss_D_fake -0.006455
[1035/5000][500/535][106756] Loss_D: -0.023073 Loss_G: -0.000487 Loss_D_real: -0.022013 Loss_D_fake 0.001060
[1035/5000][505/535][106757] Loss_D: -0.021255 Loss_G: 0.013086 Loss_D_real: -0.025190 Loss_D_fake -0.003935
[1035/5000][510/535][106758] Loss_D: -0.022634 Loss_G: 0.032701 Loss_D_real: -0.020253 Loss_D_fake 0.002381
[1035/5000][515/535][106759] Loss_D: -0.022056 Loss_G: -0.013724 Loss_D_real: -0.004597 Loss_D_fake 0.017459
[1035/5000][520/535][106760] Loss_D: -0.023430 Loss_G: 0.011089 Loss_D_real: -0.005020 Loss_D_fake 0.018409
[1035/5000][525/535][106761] Loss_D: -0.022314 Loss_G: 0.019262 Loss_D_real: -0.026873 Loss_D_fake -0.004559
[1035/5000][530/535][106762] Loss_D: -0.021317 Loss_G: 0.011786 Loss_D_real: -0.019338 Loss_D_fake 0.001979
[1035/5000][535/535][106763] Loss_D: -0.022529 Loss_G: 0.008198 Loss_D_real: -0.008848 Loss_D_fake 0.013681
[1036/5000][5/535][106764] Loss_D: -0.023470 Loss_G: -0.000759 Loss_D_real: -0.022834 Loss_D_fake 0.000636
[1036/5000][10/535][106765] Loss_D: -0.020421 Loss_G: 0.020439 Loss_D_real: -0.028073 Loss_D_fake -0.007652
[1036/5000][15/535][106766] Loss_D: -0.022868 Loss_G: 0.013979 Loss_D_real: -0.030302 Loss_D_fake -0.007434
[1036/5000][20/535][106767] Loss_D: -0.022271 Loss_G: 0.026962 Loss_D_real: -0.023062 Loss_D_fake -0.000790
[1036/5000][25/535][106768] Loss_D: -0.022392 Loss_G: 0.019423 Loss_D_real: -0.040499 Loss_D_fake -0.018107
[1036/5000][30/535][106769] Loss_D: -0.022311 Loss_G: 0.013672 Loss_D_real: -0.031462 Loss_D_fake -0.009152
[1036/5000][35/535][106770] Loss_D: -0.023094 Loss_G: -0.018215 Loss_D_real: -0.008873 Loss_D_fake 0.014221
[1036/5000][40/535][106771] Loss_D: -0.022681 Loss_G: 0.002693 Loss_D_real: -0.008248 Loss_D_fake 0.014433
[1036/5000][45/535][106772] Loss_D: -0.021965 Loss_G: 0.006017 Loss_D_real: -0.002909 Loss_D_fake 0.019056
[1036/5000][50/535][106773] Loss_D: -0.020900 Loss_G: 0.018616 Loss_D_real: -0.034336 Loss_D_fake -0.013436
[1036/5000][55/535][106774] Loss_D: -0.021846 Loss_G: 0.015544 Loss_D_real: -0.037970 Loss_D_fake -0.016125
[1036/5000][60/535][106775] Loss_D: -0.021998 Loss_G: -0.003760 Loss_D_real: -0.023283 Loss_D_fake -0.001285
[1036/5000][65/535][106776] Loss_D: -0.022643 Loss_G: -0.006128 Loss_D_real: -0.018262 Loss_D_fake 0.004381
[1036/5000][70/535][106777] Loss_D: -0.022341 Loss_G: 0.005384 Loss_D_real: -0.017350 Loss_D_fake 0.004991
[1036/5000][75/535][106778] Loss_D: -0.022458 Loss_G: 0.015453 Loss_D_real: -0.015875 Loss_D_fake 0.006583
[1036/5000][80/535][106779] Loss_D: -0.022346 Loss_G: -0.004775 Loss_D_real: -0.008455 Loss_D_fake 0.013891
[1036/5000][85/535][106780] Loss_D: -0.023179 Loss_G: 0.010139 Loss_D_real: -0.022028 Loss_D_fake 0.001150
[1036/5000][90/535][106781] Loss_D: -0.024697 Loss_G: 0.000436 Loss_D_real: -0.003532 Loss_D_fake 0.021165
[1036/5000][95/535][106782] Loss_D: -0.023575 Loss_G: 0.014635 Loss_D_real: -0.027434 Loss_D_fake -0.003858
[1036/5000][100/535][106783] Loss_D: -0.022040 Loss_G: 0.013630 Loss_D_real: -0.038422 Loss_D_fake -0.016382
[1036/5000][105/535][106784] Loss_D: -0.022702 Loss_G: -0.004904 Loss_D_real: -0.014905 Loss_D_fake 0.007796
[1036/5000][110/535][106785] Loss_D: -0.022284 Loss_G: -0.001187 Loss_D_real: -0.015846 Loss_D_fake 0.006437
[1036/5000][115/535][106786] Loss_D: -0.020924 Loss_G: 0.023812 Loss_D_real: -0.035493 Loss_D_fake -0.014570
[1036/5000][120/535][106787] Loss_D: -0.022541 Loss_G: 0.009166 Loss_D_real: -0.018715 Loss_D_fake 0.003826
[1036/5000][125/535][106788] Loss_D: -0.021467 Loss_G: -0.001154 Loss_D_real: -0.020963 Loss_D_fake 0.000504
[1036/5000][130/535][106789] Loss_D: -0.022700 Loss_G: 0.011835 Loss_D_real: -0.024589 Loss_D_fake -0.001889
[1036/5000][135/535][106790] Loss_D: -0.022051 Loss_G: 0.019713 Loss_D_real: -0.029114 Loss_D_fake -0.007064
[1036/5000][140/535][106791] Loss_D: -0.022415 Loss_G: 0.002346 Loss_D_real: -0.026045 Loss_D_fake -0.003630
[1036/5000][145/535][106792] Loss_D: -0.022701 Loss_G: 0.020928 Loss_D_real: -0.031040 Loss_D_fake -0.008339
[1036/5000][150/535][106793] Loss_D: -0.021924 Loss_G: -0.008275 Loss_D_real: -0.014730 Loss_D_fake 0.007194
[1036/5000][155/535][106794] Loss_D: -0.022487 Loss_G: 0.014249 Loss_D_real: -0.027697 Loss_D_fake -0.005210
[1036/5000][160/535][106795] Loss_D: -0.021522 Loss_G: -0.012203 Loss_D_real: -0.011131 Loss_D_fake 0.010391
[1036/5000][165/535][106796] Loss_D: -0.022862 Loss_G: 0.003008 Loss_D_real: -0.023241 Loss_D_fake -0.000379
[1036/5000][170/535][106797] Loss_D: -0.023157 Loss_G: 0.005088 Loss_D_real: -0.015244 Loss_D_fake 0.007913
[1036/5000][175/535][106798] Loss_D: -0.021570 Loss_G: -0.001996 Loss_D_real: -0.013804 Loss_D_fake 0.007766
[1036/5000][180/535][106799] Loss_D: -0.022719 Loss_G: 0.012167 Loss_D_real: -0.014214 Loss_D_fake 0.008505
[1036/5000][185/535][106800] Loss_D: -0.021168 Loss_G: -0.010484 Loss_D_real: -0.002510 Loss_D_fake 0.018658
[1036/5000][190/535][106801] Loss_D: -0.022845 Loss_G: 0.009299 Loss_D_real: -0.026791 Loss_D_fake -0.003946
[1036/5000][195/535][106802] Loss_D: -0.021103 Loss_G: 0.003433 Loss_D_real: -0.009909 Loss_D_fake 0.011194
[1036/5000][200/535][106803] Loss_D: -0.021058 Loss_G: 0.027603 Loss_D_real: -0.025655 Loss_D_fake -0.004598
[1036/5000][205/535][106804] Loss_D: -0.021457 Loss_G: -0.009058 Loss_D_real: -0.006826 Loss_D_fake 0.014631
[1036/5000][210/535][106805] Loss_D: -0.021417 Loss_G: 0.002680 Loss_D_real: -0.015523 Loss_D_fake 0.005894
[1036/5000][215/535][106806] Loss_D: -0.021373 Loss_G: -0.001213 Loss_D_real: -0.014592 Loss_D_fake 0.006781
[1036/5000][220/535][106807] Loss_D: -0.023173 Loss_G: 0.010149 Loss_D_real: -0.013600 Loss_D_fake 0.009573
[1036/5000][225/535][106808] Loss_D: -0.021736 Loss_G: 0.000781 Loss_D_real: -0.014736 Loss_D_fake 0.007000
[1036/5000][230/535][106809] Loss_D: -0.021966 Loss_G: -0.001257 Loss_D_real: -0.008511 Loss_D_fake 0.013454
[1036/5000][235/535][106810] Loss_D: -0.022303 Loss_G: 0.004611 Loss_D_real: -0.020095 Loss_D_fake 0.002209
[1036/5000][240/535][106811] Loss_D: -0.021238 Loss_G: 0.006425 Loss_D_real: -0.015112 Loss_D_fake 0.006126
[1036/5000][245/535][106812] Loss_D: -0.021560 Loss_G: 0.002126 Loss_D_real: -0.013288 Loss_D_fake 0.008272
[1036/5000][250/535][106813] Loss_D: -0.021643 Loss_G: 0.014727 Loss_D_real: -0.014913 Loss_D_fake 0.006729
[1036/5000][255/535][106814] Loss_D: -0.021062 Loss_G: 0.013982 Loss_D_real: -0.030972 Loss_D_fake -0.009909
[1036/5000][260/535][106815] Loss_D: -0.023025 Loss_G: 0.016124 Loss_D_real: -0.015640 Loss_D_fake 0.007385
[1036/5000][265/535][106816] Loss_D: -0.023652 Loss_G: -0.010445 Loss_D_real: -0.012065 Loss_D_fake 0.011587
[1036/5000][270/535][106817] Loss_D: -0.022087 Loss_G: 0.014315 Loss_D_real: -0.024411 Loss_D_fake -0.002324
[1036/5000][275/535][106818] Loss_D: -0.023487 Loss_G: 0.029812 Loss_D_real: -0.027014 Loss_D_fake -0.003527
[1036/5000][280/535][106819] Loss_D: -0.022497 Loss_G: 0.013283 Loss_D_real: -0.025177 Loss_D_fake -0.002680
[1036/5000][285/535][106820] Loss_D: -0.022657 Loss_G: -0.004785 Loss_D_real: -0.009456 Loss_D_fake 0.013201
[1036/5000][290/535][106821] Loss_D: -0.022970 Loss_G: -0.000988 Loss_D_real: -0.013267 Loss_D_fake 0.009703
[1036/5000][295/535][106822] Loss_D: -0.022711 Loss_G: 0.029115 Loss_D_real: -0.029040 Loss_D_fake -0.006329
[1036/5000][300/535][106823] Loss_D: -0.022249 Loss_G: -0.022054 Loss_D_real: -0.003517 Loss_D_fake 0.018731
[1036/5000][305/535][106824] Loss_D: -0.022046 Loss_G: 0.003390 Loss_D_real: -0.014737 Loss_D_fake 0.007308
[1036/5000][310/535][106825] Loss_D: -0.022045 Loss_G: 0.015560 Loss_D_real: -0.026810 Loss_D_fake -0.004765
[1036/5000][315/535][106826] Loss_D: -0.022654 Loss_G: 0.004082 Loss_D_real: -0.011499 Loss_D_fake 0.011155
[1036/5000][320/535][106827] Loss_D: -0.022817 Loss_G: 0.011061 Loss_D_real: -0.015635 Loss_D_fake 0.007182
[1036/5000][325/535][106828] Loss_D: -0.022802 Loss_G: 0.000046 Loss_D_real: -0.004916 Loss_D_fake 0.017885
[1036/5000][330/535][106829] Loss_D: -0.024265 Loss_G: -0.013043 Loss_D_real: -0.017995 Loss_D_fake 0.006270
[1036/5000][335/535][106830] Loss_D: -0.024522 Loss_G: 0.005433 Loss_D_real: -0.004542 Loss_D_fake 0.019980
[1036/5000][340/535][106831] Loss_D: -0.020856 Loss_G: -0.004425 Loss_D_real: -0.015099 Loss_D_fake 0.005757
[1036/5000][345/535][106832] Loss_D: -0.023360 Loss_G: 0.005857 Loss_D_real: -0.018458 Loss_D_fake 0.004902
[1036/5000][350/535][106833] Loss_D: -0.025105 Loss_G: -0.012990 Loss_D_real: -0.026289 Loss_D_fake -0.001183
[1036/5000][355/535][106834] Loss_D: -0.021468 Loss_G: 0.032548 Loss_D_real: -0.033183 Loss_D_fake -0.011715
[1036/5000][360/535][106835] Loss_D: -0.022743 Loss_G: 0.002064 Loss_D_real: -0.023908 Loss_D_fake -0.001165
[1036/5000][365/535][106836] Loss_D: -0.022198 Loss_G: 0.004800 Loss_D_real: -0.002059 Loss_D_fake 0.020138
[1036/5000][370/535][106837] Loss_D: -0.021492 Loss_G: 0.032037 Loss_D_real: -0.023837 Loss_D_fake -0.002346
[1036/5000][375/535][106838] Loss_D: -0.022287 Loss_G: -0.012713 Loss_D_real: -0.011660 Loss_D_fake 0.010628
[1036/5000][380/535][106839] Loss_D: -0.022436 Loss_G: 0.017865 Loss_D_real: -0.037792 Loss_D_fake -0.015355
[1036/5000][385/535][106840] Loss_D: -0.024527 Loss_G: -0.005142 Loss_D_real: -0.017386 Loss_D_fake 0.007141
[1036/5000][390/535][106841] Loss_D: -0.020909 Loss_G: 0.024591 Loss_D_real: -0.028849 Loss_D_fake -0.007941
[1036/5000][395/535][106842] Loss_D: -0.022938 Loss_G: -0.001898 Loss_D_real: -0.017134 Loss_D_fake 0.005804
[1036/5000][400/535][106843] Loss_D: -0.024094 Loss_G: 0.002014 Loss_D_real: -0.023676 Loss_D_fake 0.000419
[1036/5000][405/535][106844] Loss_D: -0.022927 Loss_G: -0.003180 Loss_D_real: -0.009109 Loss_D_fake 0.013818
[1036/5000][410/535][106845] Loss_D: -0.022434 Loss_G: -0.009860 Loss_D_real: -0.015177 Loss_D_fake 0.007257
[1036/5000][415/535][106846] Loss_D: -0.021575 Loss_G: -0.005134 Loss_D_real: -0.009267 Loss_D_fake 0.012308
[1036/5000][420/535][106847] Loss_D: -0.021914 Loss_G: 0.002241 Loss_D_real: -0.015342 Loss_D_fake 0.006572
[1036/5000][425/535][106848] Loss_D: -0.022140 Loss_G: 0.001597 Loss_D_real: -0.020167 Loss_D_fake 0.001974
[1036/5000][430/535][106849] Loss_D: -0.022982 Loss_G: 0.009998 Loss_D_real: -0.008364 Loss_D_fake 0.014618
[1036/5000][435/535][106850] Loss_D: -0.022208 Loss_G: -0.005816 Loss_D_real: -0.019819 Loss_D_fake 0.002389
[1036/5000][440/535][106851] Loss_D: -0.021615 Loss_G: 0.004541 Loss_D_real: -0.019649 Loss_D_fake 0.001966
[1036/5000][445/535][106852] Loss_D: -0.021340 Loss_G: -0.007899 Loss_D_real: 0.005836 Loss_D_fake 0.027176
[1036/5000][450/535][106853] Loss_D: -0.021712 Loss_G: 0.003034 Loss_D_real: -0.020463 Loss_D_fake 0.001249
[1036/5000][455/535][106854] Loss_D: -0.020993 Loss_G: 0.023786 Loss_D_real: -0.016686 Loss_D_fake 0.004307
[1036/5000][460/535][106855] Loss_D: -0.023223 Loss_G: -0.002126 Loss_D_real: -0.010187 Loss_D_fake 0.013037
[1036/5000][465/535][106856] Loss_D: -0.022258 Loss_G: 0.004574 Loss_D_real: -0.013976 Loss_D_fake 0.008282
[1036/5000][470/535][106857] Loss_D: -0.022140 Loss_G: -0.011165 Loss_D_real: -0.002353 Loss_D_fake 0.019787
[1036/5000][475/535][106858] Loss_D: -0.023298 Loss_G: 0.023640 Loss_D_real: -0.011118 Loss_D_fake 0.012180
[1036/5000][480/535][106859] Loss_D: -0.020140 Loss_G: 0.026290 Loss_D_real: -0.040338 Loss_D_fake -0.020197
[1036/5000][485/535][106860] Loss_D: -0.022625 Loss_G: 0.009060 Loss_D_real: -0.020545 Loss_D_fake 0.002080
[1036/5000][490/535][106861] Loss_D: -0.022018 Loss_G: 0.024741 Loss_D_real: -0.032381 Loss_D_fake -0.010363
[1036/5000][495/535][106862] Loss_D: -0.023739 Loss_G: -0.001446 Loss_D_real: -0.014482 Loss_D_fake 0.009257
[1036/5000][500/535][106863] Loss_D: -0.021910 Loss_G: -0.008738 Loss_D_real: 0.001242 Loss_D_fake 0.023152
[1036/5000][505/535][106864] Loss_D: -0.021825 Loss_G: 0.018059 Loss_D_real: -0.028365 Loss_D_fake -0.006539
[1036/5000][510/535][106865] Loss_D: -0.022443 Loss_G: 0.020428 Loss_D_real: -0.035279 Loss_D_fake -0.012836
[1036/5000][515/535][106866] Loss_D: -0.022022 Loss_G: 0.026032 Loss_D_real: -0.031745 Loss_D_fake -0.009723
[1036/5000][520/535][106867] Loss_D: -0.022266 Loss_G: 0.007489 Loss_D_real: -0.020565 Loss_D_fake 0.001702
[1036/5000][525/535][106868] Loss_D: -0.021732 Loss_G: -0.000481 Loss_D_real: -0.003730 Loss_D_fake 0.018002
[1036/5000][530/535][106869] Loss_D: -0.023881 Loss_G: 0.009893 Loss_D_real: -0.016593 Loss_D_fake 0.007288
[1036/5000][535/535][106870] Loss_D: -0.023984 Loss_G: 0.017481 Loss_D_real: -0.004083 Loss_D_fake 0.019901
[1037/5000][5/535][106871] Loss_D: -0.023140 Loss_G: 0.017067 Loss_D_real: -0.021156 Loss_D_fake 0.001984
[1037/5000][10/535][106872] Loss_D: -0.021115 Loss_G: 0.019046 Loss_D_real: -0.033058 Loss_D_fake -0.011942
[1037/5000][15/535][106873] Loss_D: -0.022622 Loss_G: 0.015086 Loss_D_real: -0.022861 Loss_D_fake -0.000239
[1037/5000][20/535][106874] Loss_D: -0.022944 Loss_G: 0.008168 Loss_D_real: -0.010346 Loss_D_fake 0.012598
[1037/5000][25/535][106875] Loss_D: -0.022099 Loss_G: -0.012811 Loss_D_real: -0.001692 Loss_D_fake 0.020407
[1037/5000][30/535][106876] Loss_D: -0.021844 Loss_G: 0.025955 Loss_D_real: -0.027796 Loss_D_fake -0.005951
[1037/5000][35/535][106877] Loss_D: -0.022910 Loss_G: -0.005416 Loss_D_real: -0.014926 Loss_D_fake 0.007984
[1037/5000][40/535][106878] Loss_D: -0.022222 Loss_G: -0.002304 Loss_D_real: -0.010896 Loss_D_fake 0.011327
[1037/5000][45/535][106879] Loss_D: -0.022516 Loss_G: -0.005365 Loss_D_real: -0.020215 Loss_D_fake 0.002301
[1037/5000][50/535][106880] Loss_D: -0.022494 Loss_G: 0.006737 Loss_D_real: -0.006119 Loss_D_fake 0.016375
[1037/5000][55/535][106881] Loss_D: -0.022208 Loss_G: 0.012628 Loss_D_real: -0.020124 Loss_D_fake 0.002085
[1037/5000][60/535][106882] Loss_D: -0.021499 Loss_G: 0.003167 Loss_D_real: -0.012140 Loss_D_fake 0.009359
[1037/5000][65/535][106883] Loss_D: -0.021863 Loss_G: -0.000777 Loss_D_real: -0.015988 Loss_D_fake 0.005874
[1037/5000][70/535][106884] Loss_D: -0.021621 Loss_G: 0.001054 Loss_D_real: -0.006269 Loss_D_fake 0.015351
[1037/5000][75/535][106885] Loss_D: -0.022231 Loss_G: 0.008723 Loss_D_real: -0.017068 Loss_D_fake 0.005163
[1037/5000][80/535][106886] Loss_D: -0.022417 Loss_G: 0.001686 Loss_D_real: -0.012843 Loss_D_fake 0.009573
[1037/5000][85/535][106887] Loss_D: -0.021097 Loss_G: 0.019874 Loss_D_real: -0.032895 Loss_D_fake -0.011797
[1037/5000][90/535][106888] Loss_D: -0.022422 Loss_G: 0.001424 Loss_D_real: -0.002965 Loss_D_fake 0.019457
[1037/5000][95/535][106889] Loss_D: -0.022701 Loss_G: -0.003559 Loss_D_real: -0.009730 Loss_D_fake 0.012971
[1037/5000][100/535][106890] Loss_D: -0.022153 Loss_G: -0.004248 Loss_D_real: -0.014824 Loss_D_fake 0.007329
[1037/5000][105/535][106891] Loss_D: -0.021999 Loss_G: -0.009779 Loss_D_real: -0.006188 Loss_D_fake 0.015811
[1037/5000][110/535][106892] Loss_D: -0.021244 Loss_G: 0.000554 Loss_D_real: -0.010953 Loss_D_fake 0.010291
[1037/5000][115/535][106893] Loss_D: -0.022174 Loss_G: 0.023318 Loss_D_real: -0.028118 Loss_D_fake -0.005943
[1037/5000][120/535][106894] Loss_D: -0.022050 Loss_G: -0.003333 Loss_D_real: -0.008537 Loss_D_fake 0.013512
[1037/5000][125/535][106895] Loss_D: -0.021804 Loss_G: 0.027782 Loss_D_real: -0.031192 Loss_D_fake -0.009388
[1037/5000][130/535][106896] Loss_D: -0.023325 Loss_G: -0.002473 Loss_D_real: -0.017449 Loss_D_fake 0.005876
[1037/5000][135/535][106897] Loss_D: -0.023448 Loss_G: 0.010835 Loss_D_real: -0.024210 Loss_D_fake -0.000762
[1037/5000][140/535][106898] Loss_D: -0.023400 Loss_G: 0.006583 Loss_D_real: -0.022566 Loss_D_fake 0.000834
[1037/5000][145/535][106899] Loss_D: -0.022127 Loss_G: 0.004868 Loss_D_real: -0.034544 Loss_D_fake -0.012417
[1037/5000][150/535][106900] Loss_D: -0.022659 Loss_G: 0.006901 Loss_D_real: -0.025219 Loss_D_fake -0.002560
[1037/5000][155/535][106901] Loss_D: -0.025292 Loss_G: 0.012325 Loss_D_real: -0.014699 Loss_D_fake 0.010593
[1037/5000][160/535][106902] Loss_D: -0.022114 Loss_G: -0.005887 Loss_D_real: -0.005342 Loss_D_fake 0.016772
[1037/5000][165/535][106903] Loss_D: -0.022587 Loss_G: 0.015623 Loss_D_real: -0.007618 Loss_D_fake 0.014968
[1037/5000][170/535][106904] Loss_D: -0.022529 Loss_G: 0.010519 Loss_D_real: -0.020133 Loss_D_fake 0.002395
[1037/5000][175/535][106905] Loss_D: -0.023667 Loss_G: 0.012424 Loss_D_real: -0.020752 Loss_D_fake 0.002915
[1037/5000][180/535][106906] Loss_D: -0.022701 Loss_G: 0.007080 Loss_D_real: -0.030635 Loss_D_fake -0.007934
[1037/5000][185/535][106907] Loss_D: -0.022823 Loss_G: -0.004447 Loss_D_real: -0.007301 Loss_D_fake 0.015522
[1037/5000][190/535][106908] Loss_D: -0.022281 Loss_G: 0.018145 Loss_D_real: -0.029337 Loss_D_fake -0.007056
[1037/5000][195/535][106909] Loss_D: -0.023535 Loss_G: -0.003169 Loss_D_real: -0.019651 Loss_D_fake 0.003884
[1037/5000][200/535][106910] Loss_D: -0.022554 Loss_G: 0.007343 Loss_D_real: -0.006472 Loss_D_fake 0.016082
[1037/5000][205/535][106911] Loss_D: -0.021733 Loss_G: 0.003723 Loss_D_real: -0.010755 Loss_D_fake 0.010978
[1037/5000][210/535][106912] Loss_D: -0.023605 Loss_G: 0.008564 Loss_D_real: -0.010211 Loss_D_fake 0.013394
[1037/5000][215/535][106913] Loss_D: -0.022760 Loss_G: 0.008824 Loss_D_real: -0.019217 Loss_D_fake 0.003543
[1037/5000][220/535][106914] Loss_D: -0.022145 Loss_G: 0.022299 Loss_D_real: -0.033356 Loss_D_fake -0.011210
[1037/5000][225/535][106915] Loss_D: -0.022543 Loss_G: 0.019518 Loss_D_real: -0.018984 Loss_D_fake 0.003559
[1037/5000][230/535][106916] Loss_D: -0.021299 Loss_G: 0.024566 Loss_D_real: -0.038249 Loss_D_fake -0.016950
[1037/5000][235/535][106917] Loss_D: -0.021870 Loss_G: -0.004194 Loss_D_real: -0.008974 Loss_D_fake 0.012896
[1037/5000][240/535][106918] Loss_D: -0.023141 Loss_G: 0.019315 Loss_D_real: -0.028782 Loss_D_fake -0.005640
[1037/5000][245/535][106919] Loss_D: -0.022680 Loss_G: 0.000968 Loss_D_real: -0.012072 Loss_D_fake 0.010608
[1037/5000][250/535][106920] Loss_D: -0.021159 Loss_G: 0.011398 Loss_D_real: -0.030427 Loss_D_fake -0.009268
[1037/5000][255/535][106921] Loss_D: -0.022144 Loss_G: 0.008613 Loss_D_real: -0.019115 Loss_D_fake 0.003029
[1037/5000][260/535][106922] Loss_D: -0.023914 Loss_G: -0.004952 Loss_D_real: -0.012473 Loss_D_fake 0.011441
[1037/5000][265/535][106923] Loss_D: -0.023668 Loss_G: 0.017480 Loss_D_real: -0.016860 Loss_D_fake 0.006807
[1037/5000][270/535][106924] Loss_D: -0.022052 Loss_G: 0.018669 Loss_D_real: -0.032298 Loss_D_fake -0.010246
[1037/5000][275/535][106925] Loss_D: -0.021214 Loss_G: 0.020406 Loss_D_real: -0.031006 Loss_D_fake -0.009792
[1037/5000][280/535][106926] Loss_D: -0.024267 Loss_G: 0.003202 Loss_D_real: -0.026880 Loss_D_fake -0.002613
[1037/5000][285/535][106927] Loss_D: -0.022284 Loss_G: 0.018191 Loss_D_real: -0.020367 Loss_D_fake 0.001916
[1037/5000][290/535][106928] Loss_D: -0.021455 Loss_G: 0.003112 Loss_D_real: -0.012495 Loss_D_fake 0.008960
[1037/5000][295/535][106929] Loss_D: -0.022170 Loss_G: 0.013878 Loss_D_real: -0.029614 Loss_D_fake -0.007444
[1037/5000][300/535][106930] Loss_D: -0.024179 Loss_G: 0.028509 Loss_D_real: -0.018764 Loss_D_fake 0.005415
[1037/5000][305/535][106931] Loss_D: -0.020966 Loss_G: 0.014426 Loss_D_real: -0.022635 Loss_D_fake -0.001669
[1037/5000][310/535][106932] Loss_D: -0.022883 Loss_G: -0.001210 Loss_D_real: -0.007649 Loss_D_fake 0.015234
[1037/5000][315/535][106933] Loss_D: -0.021030 Loss_G: 0.021040 Loss_D_real: -0.020814 Loss_D_fake 0.000216
[1037/5000][320/535][106934] Loss_D: -0.020847 Loss_G: -0.015918 Loss_D_real: -0.001164 Loss_D_fake 0.019683
[1037/5000][325/535][106935] Loss_D: -0.021405 Loss_G: 0.020799 Loss_D_real: -0.016203 Loss_D_fake 0.005202
[1037/5000][330/535][106936] Loss_D: -0.022537 Loss_G: 0.019968 Loss_D_real: -0.026229 Loss_D_fake -0.003691
[1037/5000][335/535][106937] Loss_D: -0.023449 Loss_G: -0.004518 Loss_D_real: -0.016401 Loss_D_fake 0.007048
[1037/5000][340/535][106938] Loss_D: -0.023398 Loss_G: -0.004626 Loss_D_real: -0.004415 Loss_D_fake 0.018983
[1037/5000][345/535][106939] Loss_D: -0.022017 Loss_G: 0.009257 Loss_D_real: -0.011741 Loss_D_fake 0.010276
[1037/5000][350/535][106940] Loss_D: -0.021646 Loss_G: 0.004253 Loss_D_real: -0.011661 Loss_D_fake 0.009985
[1037/5000][355/535][106941] Loss_D: -0.022301 Loss_G: 0.014880 Loss_D_real: -0.026937 Loss_D_fake -0.004636
[1037/5000][360/535][106942] Loss_D: -0.022404 Loss_G: 0.006771 Loss_D_real: -0.010175 Loss_D_fake 0.012228
[1037/5000][365/535][106943] Loss_D: -0.022447 Loss_G: 0.016534 Loss_D_real: -0.019703 Loss_D_fake 0.002744
[1037/5000][370/535][106944] Loss_D: -0.023460 Loss_G: 0.014665 Loss_D_real: -0.027463 Loss_D_fake -0.004004
[1037/5000][375/535][106945] Loss_D: -0.023360 Loss_G: 0.009031 Loss_D_real: -0.015789 Loss_D_fake 0.007571
[1037/5000][380/535][106946] Loss_D: -0.021602 Loss_G: -0.014931 Loss_D_real: -0.021374 Loss_D_fake 0.000228
[1037/5000][385/535][106947] Loss_D: -0.021014 Loss_G: -0.002399 Loss_D_real: -0.008946 Loss_D_fake 0.012068
[1037/5000][390/535][106948] Loss_D: -0.021478 Loss_G: 0.008145 Loss_D_real: -0.014946 Loss_D_fake 0.006531
[1037/5000][395/535][106949] Loss_D: -0.021871 Loss_G: 0.009135 Loss_D_real: -0.021265 Loss_D_fake 0.000606
[1037/5000][400/535][106950] Loss_D: -0.021287 Loss_G: 0.014401 Loss_D_real: -0.034962 Loss_D_fake -0.013675
[1037/5000][405/535][106951] Loss_D: -0.020658 Loss_G: -0.001032 Loss_D_real: -0.023483 Loss_D_fake -0.002825
[1037/5000][410/535][106952] Loss_D: -0.021201 Loss_G: -0.009198 Loss_D_real: 0.002619 Loss_D_fake 0.023820
[1037/5000][415/535][106953] Loss_D: -0.022426 Loss_G: 0.024083 Loss_D_real: -0.029400 Loss_D_fake -0.006975
[1037/5000][420/535][106954] Loss_D: -0.022235 Loss_G: 0.011541 Loss_D_real: -0.025675 Loss_D_fake -0.003441
[1037/5000][425/535][106955] Loss_D: -0.022705 Loss_G: 0.009042 Loss_D_real: -0.005393 Loss_D_fake 0.017313
[1037/5000][430/535][106956] Loss_D: -0.022928 Loss_G: -0.007758 Loss_D_real: -0.001614 Loss_D_fake 0.021314
[1037/5000][435/535][106957] Loss_D: -0.022554 Loss_G: 0.016023 Loss_D_real: -0.022169 Loss_D_fake 0.000385
[1037/5000][440/535][106958] Loss_D: -0.021108 Loss_G: -0.004681 Loss_D_real: -0.016037 Loss_D_fake 0.005071
[1037/5000][445/535][106959] Loss_D: -0.021557 Loss_G: 0.000701 Loss_D_real: -0.016912 Loss_D_fake 0.004645
[1037/5000][450/535][106960] Loss_D: -0.022901 Loss_G: 0.004477 Loss_D_real: -0.017911 Loss_D_fake 0.004990
[1037/5000][455/535][106961] Loss_D: -0.022107 Loss_G: -0.002356 Loss_D_real: -0.013172 Loss_D_fake 0.008936
[1037/5000][460/535][106962] Loss_D: -0.022843 Loss_G: 0.025924 Loss_D_real: -0.039378 Loss_D_fake -0.016535
[1037/5000][465/535][106963] Loss_D: -0.022840 Loss_G: 0.012132 Loss_D_real: -0.033312 Loss_D_fake -0.010472
[1037/5000][470/535][106964] Loss_D: -0.021739 Loss_G: 0.021109 Loss_D_real: -0.027724 Loss_D_fake -0.005985
[1037/5000][475/535][106965] Loss_D: -0.022002 Loss_G: 0.003724 Loss_D_real: -0.028822 Loss_D_fake -0.006821
[1037/5000][480/535][106966] Loss_D: -0.024548 Loss_G: -0.016670 Loss_D_real: -0.012315 Loss_D_fake 0.012233
[1037/5000][485/535][106967] Loss_D: -0.024981 Loss_G: 0.004430 Loss_D_real: -0.004747 Loss_D_fake 0.020234
[1037/5000][490/535][106968] Loss_D: -0.022321 Loss_G: 0.015726 Loss_D_real: -0.012681 Loss_D_fake 0.009641
[1037/5000][495/535][106969] Loss_D: -0.023599 Loss_G: 0.008594 Loss_D_real: -0.018074 Loss_D_fake 0.005525
[1037/5000][500/535][106970] Loss_D: -0.022527 Loss_G: 0.002064 Loss_D_real: -0.011690 Loss_D_fake 0.010837
[1037/5000][505/535][106971] Loss_D: -0.023880 Loss_G: -0.001907 Loss_D_real: -0.017376 Loss_D_fake 0.006503
[1037/5000][510/535][106972] Loss_D: -0.023434 Loss_G: -0.012621 Loss_D_real: -0.013168 Loss_D_fake 0.010266
[1037/5000][515/535][106973] Loss_D: -0.021771 Loss_G: 0.021899 Loss_D_real: -0.021061 Loss_D_fake 0.000710
[1037/5000][520/535][106974] Loss_D: -0.022984 Loss_G: 0.009767 Loss_D_real: -0.019478 Loss_D_fake 0.003506
[1037/5000][525/535][106975] Loss_D: -0.019874 Loss_G: 0.022646 Loss_D_real: -0.039438 Loss_D_fake -0.019564
[1037/5000][530/535][106976] Loss_D: -0.023578 Loss_G: 0.009050 Loss_D_real: -0.014277 Loss_D_fake 0.009301
[1037/5000][535/535][106977] Loss_D: -0.024825 Loss_G: -0.009886 Loss_D_real: -0.029094 Loss_D_fake -0.004269
[1038/5000][5/535][106978] Loss_D: -0.021359 Loss_G: 0.003195 Loss_D_real: 0.006468 Loss_D_fake 0.027827
[1038/5000][10/535][106979] Loss_D: -0.022858 Loss_G: 0.021934 Loss_D_real: -0.029859 Loss_D_fake -0.007001
[1038/5000][15/535][106980] Loss_D: -0.020447 Loss_G: 0.015774 Loss_D_real: -0.023728 Loss_D_fake -0.003281
[1038/5000][20/535][106981] Loss_D: -0.022727 Loss_G: -0.004084 Loss_D_real: -0.008020 Loss_D_fake 0.014707
[1038/5000][25/535][106982] Loss_D: -0.021160 Loss_G: -0.016985 Loss_D_real: -0.006764 Loss_D_fake 0.014397
[1038/5000][30/535][106983] Loss_D: -0.022213 Loss_G: 0.016359 Loss_D_real: -0.030252 Loss_D_fake -0.008039
[1038/5000][35/535][106984] Loss_D: -0.022113 Loss_G: 0.006669 Loss_D_real: -0.030602 Loss_D_fake -0.008489
[1038/5000][40/535][106985] Loss_D: -0.022068 Loss_G: 0.018437 Loss_D_real: -0.025053 Loss_D_fake -0.002985
[1038/5000][45/535][106986] Loss_D: -0.022805 Loss_G: 0.003275 Loss_D_real: -0.017829 Loss_D_fake 0.004977
[1038/5000][50/535][106987] Loss_D: -0.023087 Loss_G: 0.001813 Loss_D_real: -0.009922 Loss_D_fake 0.013166
[1038/5000][55/535][106988] Loss_D: -0.022416 Loss_G: 0.001749 Loss_D_real: -0.012010 Loss_D_fake 0.010407
[1038/5000][60/535][106989] Loss_D: -0.022842 Loss_G: 0.008397 Loss_D_real: -0.025765 Loss_D_fake -0.002923
[1038/5000][65/535][106990] Loss_D: -0.022700 Loss_G: 0.000494 Loss_D_real: -0.024310 Loss_D_fake -0.001610
[1038/5000][70/535][106991] Loss_D: -0.021013 Loss_G: 0.023498 Loss_D_real: -0.037269 Loss_D_fake -0.016256
[1038/5000][75/535][106992] Loss_D: -0.022807 Loss_G: 0.013013 Loss_D_real: -0.033006 Loss_D_fake -0.010199
[1038/5000][80/535][106993] Loss_D: -0.022370 Loss_G: 0.013783 Loss_D_real: -0.014933 Loss_D_fake 0.007436
[1038/5000][85/535][106994] Loss_D: -0.021563 Loss_G: 0.006404 Loss_D_real: -0.019514 Loss_D_fake 0.002048
[1038/5000][90/535][106995] Loss_D: -0.022150 Loss_G: 0.001508 Loss_D_real: -0.014038 Loss_D_fake 0.008112
[1038/5000][95/535][106996] Loss_D: -0.021712 Loss_G: -0.007646 Loss_D_real: -0.006410 Loss_D_fake 0.015302
[1038/5000][100/535][106997] Loss_D: -0.021706 Loss_G: 0.000216 Loss_D_real: -0.016600 Loss_D_fake 0.005106
[1038/5000][105/535][106998] Loss_D: -0.022773 Loss_G: 0.007213 Loss_D_real: -0.018869 Loss_D_fake 0.003903
[1038/5000][110/535][106999] Loss_D: -0.020310 Loss_G: -0.008203 Loss_D_real: 0.009617 Loss_D_fake 0.029927
[1038/5000][115/535][107000] Loss_D: -0.022007 Loss_G: 0.016043 Loss_D_real: -0.021807 Loss_D_fake 0.000200
[1038/5000][215/535][107001] Loss_D: -0.024365 Loss_G: -0.008322 Loss_D_real: -0.006904 Loss_D_fake 0.017461
[1038/5000][220/535][107002] Loss_D: -0.022220 Loss_G: 0.024396 Loss_D_real: -0.014620 Loss_D_fake 0.007600
[1038/5000][225/535][107003] Loss_D: -0.021119 Loss_G: -0.004186 Loss_D_real: -0.017252 Loss_D_fake 0.003867
[1038/5000][230/535][107004] Loss_D: -0.020424 Loss_G: 0.012041 Loss_D_real: -0.024590 Loss_D_fake -0.004166
[1038/5000][235/535][107005] Loss_D: -0.020810 Loss_G: -0.002608 Loss_D_real: -0.013980 Loss_D_fake 0.006830
[1038/5000][240/535][107006] Loss_D: -0.021174 Loss_G: 0.018014 Loss_D_real: -0.016723 Loss_D_fake 0.004451
[1038/5000][245/535][107007] Loss_D: -0.020920 Loss_G: 0.012883 Loss_D_real: -0.016632 Loss_D_fake 0.004288
[1038/5000][250/535][107008] Loss_D: -0.022090 Loss_G: 0.015471 Loss_D_real: -0.028133 Loss_D_fake -0.006043
[1038/5000][255/535][107009] Loss_D: -0.021362 Loss_G: -0.008482 Loss_D_real: -0.011367 Loss_D_fake 0.009995
[1038/5000][260/535][107010] Loss_D: -0.022459 Loss_G: 0.008915 Loss_D_real: -0.022429 Loss_D_fake 0.000030
[1038/5000][265/535][107011] Loss_D: -0.020419 Loss_G: 0.008993 Loss_D_real: -0.021527 Loss_D_fake -0.001108
[1038/5000][270/535][107012] Loss_D: -0.022810 Loss_G: 0.000286 Loss_D_real: -0.008426 Loss_D_fake 0.014384
[1038/5000][275/535][107013] Loss_D: -0.020581 Loss_G: -0.009729 Loss_D_real: -0.001999 Loss_D_fake 0.018582
[1038/5000][280/535][107014] Loss_D: -0.022847 Loss_G: -0.003991 Loss_D_real: -0.015094 Loss_D_fake 0.007753
[1038/5000][285/535][107015] Loss_D: -0.021029 Loss_G: -0.020109 Loss_D_real: -0.000163 Loss_D_fake 0.020866
[1038/5000][290/535][107016] Loss_D: -0.023087 Loss_G: 0.019153 Loss_D_real: -0.017444 Loss_D_fake 0.005642
[1038/5000][295/535][107017] Loss_D: -0.022065 Loss_G: 0.010883 Loss_D_real: -0.015207 Loss_D_fake 0.006858
[1038/5000][300/535][107018] Loss_D: -0.021841 Loss_G: -0.004714 Loss_D_real: -0.022509 Loss_D_fake -0.000668
[1038/5000][305/535][107019] Loss_D: -0.022229 Loss_G: 0.010768 Loss_D_real: -0.025854 Loss_D_fake -0.003625
[1038/5000][310/535][107020] Loss_D: -0.022887 Loss_G: 0.024784 Loss_D_real: -0.033531 Loss_D_fake -0.010643
[1038/5000][315/535][107021] Loss_D: -0.022821 Loss_G: 0.013308 Loss_D_real: -0.019596 Loss_D_fake 0.003225
[1038/5000][320/535][107022] Loss_D: -0.022155 Loss_G: -0.004196 Loss_D_real: -0.010516 Loss_D_fake 0.011639
[1038/5000][325/535][107023] Loss_D: -0.022132 Loss_G: 0.027871 Loss_D_real: -0.031052 Loss_D_fake -0.008920
[1038/5000][330/535][107024] Loss_D: -0.023326 Loss_G: 0.022717 Loss_D_real: -0.020486 Loss_D_fake 0.002840
[1038/5000][335/535][107025] Loss_D: -0.021967 Loss_G: -0.003302 Loss_D_real: -0.011499 Loss_D_fake 0.010468
[1038/5000][340/535][107026] Loss_D: -0.023955 Loss_G: 0.028604 Loss_D_real: -0.038444 Loss_D_fake -0.014489
[1038/5000][345/535][107027] Loss_D: -0.023139 Loss_G: 0.002665 Loss_D_real: -0.021383 Loss_D_fake 0.001756
[1038/5000][350/535][107028] Loss_D: -0.022756 Loss_G: 0.017681 Loss_D_real: -0.015260 Loss_D_fake 0.007496
[1038/5000][355/535][107029] Loss_D: -0.021672 Loss_G: 0.019587 Loss_D_real: -0.027272 Loss_D_fake -0.005600
[1038/5000][360/535][107030] Loss_D: -0.022206 Loss_G: 0.014010 Loss_D_real: -0.034631 Loss_D_fake -0.012425
[1038/5000][365/535][107031] Loss_D: -0.022310 Loss_G: 0.024176 Loss_D_real: -0.026385 Loss_D_fake -0.004076
[1038/5000][370/535][107032] Loss_D: -0.023097 Loss_G: 0.011724 Loss_D_real: -0.027309 Loss_D_fake -0.004212
[1038/5000][375/535][107033] Loss_D: -0.021559 Loss_G: 0.009922 Loss_D_real: -0.036271 Loss_D_fake -0.014712
[1038/5000][380/535][107034] Loss_D: -0.022324 Loss_G: 0.019458 Loss_D_real: -0.023152 Loss_D_fake -0.000828
[1038/5000][385/535][107035] Loss_D: -0.022660 Loss_G: 0.001847 Loss_D_real: -0.013483 Loss_D_fake 0.009177
[1038/5000][390/535][107036] Loss_D: -0.023343 Loss_G: 0.014975 Loss_D_real: -0.031276 Loss_D_fake -0.007933
[1038/5000][395/535][107037] Loss_D: -0.022909 Loss_G: -0.002749 Loss_D_real: -0.007282 Loss_D_fake 0.015627
[1038/5000][400/535][107038] Loss_D: -0.022902 Loss_G: 0.001039 Loss_D_real: -0.025273 Loss_D_fake -0.002371
[1038/5000][405/535][107039] Loss_D: -0.021649 Loss_G: 0.000047 Loss_D_real: -0.012948 Loss_D_fake 0.008701
[1038/5000][410/535][107040] Loss_D: -0.021498 Loss_G: 0.008905 Loss_D_real: -0.021711 Loss_D_fake -0.000212
[1038/5000][415/535][107041] Loss_D: -0.020388 Loss_G: -0.019177 Loss_D_real: 0.010620 Loss_D_fake 0.031008
[1038/5000][420/535][107042] Loss_D: -0.022075 Loss_G: 0.008578 Loss_D_real: -0.013654 Loss_D_fake 0.008421
[1038/5000][425/535][107043] Loss_D: -0.023483 Loss_G: -0.002551 Loss_D_real: -0.009625 Loss_D_fake 0.013858
[1038/5000][430/535][107044] Loss_D: -0.021965 Loss_G: 0.022152 Loss_D_real: -0.032123 Loss_D_fake -0.010158
[1038/5000][435/535][107045] Loss_D: -0.021198 Loss_G: -0.011860 Loss_D_real: 0.005360 Loss_D_fake 0.026559
[1038/5000][440/535][107046] Loss_D: -0.021800 Loss_G: 0.016324 Loss_D_real: -0.027960 Loss_D_fake -0.006161
[1038/5000][445/535][107047] Loss_D: -0.022123 Loss_G: -0.009081 Loss_D_real: -0.008539 Loss_D_fake 0.013584
[1038/5000][450/535][107048] Loss_D: -0.021472 Loss_G: -0.005967 Loss_D_real: -0.001174 Loss_D_fake 0.020297
[1038/5000][455/535][107049] Loss_D: -0.022841 Loss_G: 0.011521 Loss_D_real: -0.020320 Loss_D_fake 0.002521
[1038/5000][460/535][107050] Loss_D: -0.021636 Loss_G: 0.012287 Loss_D_real: -0.014328 Loss_D_fake 0.007308
[1038/5000][465/535][107051] Loss_D: -0.022811 Loss_G: -0.013093 Loss_D_real: -0.018190 Loss_D_fake 0.004621
[1038/5000][470/535][107052] Loss_D: -0.021700 Loss_G: 0.029487 Loss_D_real: -0.026300 Loss_D_fake -0.004599
[1038/5000][475/535][107053] Loss_D: -0.023873 Loss_G: 0.014487 Loss_D_real: -0.023657 Loss_D_fake 0.000216
[1038/5000][480/535][107054] Loss_D: -0.022092 Loss_G: 0.023331 Loss_D_real: -0.036889 Loss_D_fake -0.014797
[1038/5000][485/535][107055] Loss_D: -0.021281 Loss_G: 0.013808 Loss_D_real: -0.026796 Loss_D_fake -0.005515
[1038/5000][490/535][107056] Loss_D: -0.022537 Loss_G: 0.020375 Loss_D_real: -0.022665 Loss_D_fake -0.000128
[1038/5000][495/535][107057] Loss_D: -0.022443 Loss_G: 0.013013 Loss_D_real: -0.017748 Loss_D_fake 0.004695
[1038/5000][500/535][107058] Loss_D: -0.022341 Loss_G: 0.009063 Loss_D_real: -0.026321 Loss_D_fake -0.003980
[1038/5000][505/535][107059] Loss_D: -0.022638 Loss_G: 0.000882 Loss_D_real: -0.015593 Loss_D_fake 0.007045
[1038/5000][510/535][107060] Loss_D: -0.023663 Loss_G: 0.005282 Loss_D_real: -0.023190 Loss_D_fake 0.000472
[1038/5000][515/535][107061] Loss_D: -0.022817 Loss_G: 0.033286 Loss_D_real: -0.027935 Loss_D_fake -0.005118
[1038/5000][520/535][107062] Loss_D: -0.021320 Loss_G: -0.008928 Loss_D_real: 0.001973 Loss_D_fake 0.023293
[1038/5000][525/535][107063] Loss_D: -0.022246 Loss_G: -0.019180 Loss_D_real: -0.005179 Loss_D_fake 0.017067
[1038/5000][530/535][107064] Loss_D: -0.023028 Loss_G: 0.012441 Loss_D_real: -0.026294 Loss_D_fake -0.003266
[1038/5000][535/535][107065] Loss_D: -0.021170 Loss_G: -0.036122 Loss_D_real: -0.007194 Loss_D_fake 0.013975
[1039/5000][5/535][107066] Loss_D: -0.020569 Loss_G: 0.007849 Loss_D_real: -0.022152 Loss_D_fake -0.001583
[1039/5000][10/535][107067] Loss_D: -0.021334 Loss_G: 0.009614 Loss_D_real: -0.013913 Loss_D_fake 0.007421
[1039/5000][15/535][107068] Loss_D: -0.021340 Loss_G: 0.003872 Loss_D_real: -0.009678 Loss_D_fake 0.011662
[1039/5000][20/535][107069] Loss_D: -0.021065 Loss_G: -0.002232 Loss_D_real: -0.008424 Loss_D_fake 0.012641
[1039/5000][25/535][107070] Loss_D: -0.020495 Loss_G: -0.003545 Loss_D_real: -0.004378 Loss_D_fake 0.016117
[1039/5000][30/535][107071] Loss_D: -0.018189 Loss_G: -0.014168 Loss_D_real: 0.008613 Loss_D_fake 0.026802
[1039/5000][35/535][107072] Loss_D: -0.021464 Loss_G: 0.030444 Loss_D_real: -0.032172 Loss_D_fake -0.010708
[1039/5000][40/535][107073] Loss_D: -0.018842 Loss_G: -0.016223 Loss_D_real: -0.003026 Loss_D_fake 0.015817
[1039/5000][45/535][107074] Loss_D: -0.022342 Loss_G: 0.011926 Loss_D_real: -0.011747 Loss_D_fake 0.010596
[1039/5000][50/535][107075] Loss_D: -0.022077 Loss_G: 0.021208 Loss_D_real: -0.019736 Loss_D_fake 0.002341
[1039/5000][55/535][107076] Loss_D: -0.021317 Loss_G: 0.007380 Loss_D_real: -0.020714 Loss_D_fake 0.000603
[1039/5000][60/535][107077] Loss_D: -0.023565 Loss_G: 0.019875 Loss_D_real: -0.025985 Loss_D_fake -0.002420
[1039/5000][65/535][107078] Loss_D: -0.022170 Loss_G: -0.001483 Loss_D_real: -0.004871 Loss_D_fake 0.017299
[1039/5000][70/535][107079] Loss_D: -0.022755 Loss_G: -0.003643 Loss_D_real: -0.006859 Loss_D_fake 0.015896
[1039/5000][75/535][107080] Loss_D: -0.023561 Loss_G: -0.004592 Loss_D_real: -0.009787 Loss_D_fake 0.013774
[1039/5000][80/535][107081] Loss_D: -0.023219 Loss_G: 0.006706 Loss_D_real: -0.024842 Loss_D_fake -0.001623
[1039/5000][85/535][107082] Loss_D: -0.023682 Loss_G: 0.005775 Loss_D_real: -0.021131 Loss_D_fake 0.002551
[1039/5000][90/535][107083] Loss_D: -0.021580 Loss_G: -0.009710 Loss_D_real: -0.013572 Loss_D_fake 0.008008
[1039/5000][95/535][107084] Loss_D: -0.022979 Loss_G: 0.017837 Loss_D_real: -0.023107 Loss_D_fake -0.000128
[1039/5000][100/535][107085] Loss_D: -0.023391 Loss_G: 0.009285 Loss_D_real: -0.015174 Loss_D_fake 0.008217
[1039/5000][105/535][107086] Loss_D: -0.022975 Loss_G: 0.016038 Loss_D_real: -0.012364 Loss_D_fake 0.010610
[1039/5000][110/535][107087] Loss_D: -0.021811 Loss_G: 0.029717 Loss_D_real: -0.036048 Loss_D_fake -0.014237
[1039/5000][115/535][107088] Loss_D: -0.022893 Loss_G: -0.008929 Loss_D_real: -0.006534 Loss_D_fake 0.016360
[1039/5000][120/535][107089] Loss_D: -0.023388 Loss_G: -0.020174 Loss_D_real: -0.012021 Loss_D_fake 0.011368
[1039/5000][125/535][107090] Loss_D: -0.023145 Loss_G: 0.009640 Loss_D_real: -0.019004 Loss_D_fake 0.004141
[1039/5000][130/535][107091] Loss_D: -0.025106 Loss_G: 0.020694 Loss_D_real: -0.024638 Loss_D_fake 0.000468
[1039/5000][135/535][107092] Loss_D: -0.022353 Loss_G: -0.006925 Loss_D_real: -0.016774 Loss_D_fake 0.005579
[1039/5000][140/535][107093] Loss_D: -0.022406 Loss_G: 0.015243 Loss_D_real: -0.030783 Loss_D_fake -0.008376
[1039/5000][145/535][107094] Loss_D: -0.023098 Loss_G: 0.015711 Loss_D_real: -0.026555 Loss_D_fake -0.003457
[1039/5000][150/535][107095] Loss_D: -0.020059 Loss_G: -0.026453 Loss_D_real: 0.002173 Loss_D_fake 0.022232
[1039/5000][155/535][107096] Loss_D: -0.021787 Loss_G: -0.000411 Loss_D_real: -0.011706 Loss_D_fake 0.010081
[1039/5000][160/535][107097] Loss_D: -0.022091 Loss_G: 0.011255 Loss_D_real: -0.016264 Loss_D_fake 0.005828
[1039/5000][165/535][107098] Loss_D: -0.022075 Loss_G: -0.000623 Loss_D_real: -0.015888 Loss_D_fake 0.006187
[1039/5000][170/535][107099] Loss_D: -0.022099 Loss_G: 0.022211 Loss_D_real: -0.022324 Loss_D_fake -0.000226
[1039/5000][175/535][107100] Loss_D: -0.022134 Loss_G: -0.005981 Loss_D_real: -0.010632 Loss_D_fake 0.011502
[1039/5000][180/535][107101] Loss_D: -0.022113 Loss_G: 0.021748 Loss_D_real: -0.028147 Loss_D_fake -0.006034
[1039/5000][185/535][107102] Loss_D: -0.022219 Loss_G: 0.002306 Loss_D_real: -0.016610 Loss_D_fake 0.005608
[1039/5000][190/535][107103] Loss_D: -0.020311 Loss_G: -0.017378 Loss_D_real: -0.002311 Loss_D_fake 0.018000
[1039/5000][195/535][107104] Loss_D: -0.021309 Loss_G: 0.012265 Loss_D_real: -0.019904 Loss_D_fake 0.001405
[1039/5000][200/535][107105] Loss_D: -0.022446 Loss_G: 0.001371 Loss_D_real: -0.019451 Loss_D_fake 0.002995
[1039/5000][205/535][107106] Loss_D: -0.022223 Loss_G: 0.019047 Loss_D_real: -0.035291 Loss_D_fake -0.013068
[1039/5000][210/535][107107] Loss_D: -0.022346 Loss_G: 0.009307 Loss_D_real: -0.014361 Loss_D_fake 0.007986
[1039/5000][215/535][107108] Loss_D: -0.021633 Loss_G: 0.020166 Loss_D_real: -0.025229 Loss_D_fake -0.003596
[1039/5000][220/535][107109] Loss_D: -0.022027 Loss_G: 0.010888 Loss_D_real: -0.016275 Loss_D_fake 0.005753
[1039/5000][225/535][107110] Loss_D: -0.022456 Loss_G: 0.001620 Loss_D_real: -0.003890 Loss_D_fake 0.018566
[1039/5000][230/535][107111] Loss_D: -0.022764 Loss_G: 0.019701 Loss_D_real: -0.029198 Loss_D_fake -0.006434
[1039/5000][235/535][107112] Loss_D: -0.021923 Loss_G: -0.010711 Loss_D_real: -0.009467 Loss_D_fake 0.012456
[1039/5000][240/535][107113] Loss_D: -0.021667 Loss_G: 0.004678 Loss_D_real: -0.014453 Loss_D_fake 0.007214
[1039/5000][245/535][107114] Loss_D: -0.021732 Loss_G: -0.013952 Loss_D_real: -0.003170 Loss_D_fake 0.018562
[1039/5000][250/535][107115] Loss_D: -0.021280 Loss_G: 0.014922 Loss_D_real: -0.023846 Loss_D_fake -0.002566
[1039/5000][255/535][107116] Loss_D: -0.022770 Loss_G: 0.028908 Loss_D_real: -0.025991 Loss_D_fake -0.003221
[1039/5000][260/535][107117] Loss_D: -0.021202 Loss_G: 0.025016 Loss_D_real: -0.035453 Loss_D_fake -0.014251
[1039/5000][265/535][107118] Loss_D: -0.021619 Loss_G: 0.022547 Loss_D_real: -0.028551 Loss_D_fake -0.006932
[1039/5000][270/535][107119] Loss_D: -0.023845 Loss_G: 0.002684 Loss_D_real: -0.016596 Loss_D_fake 0.007249
[1039/5000][275/535][107120] Loss_D: -0.022803 Loss_G: -0.008418 Loss_D_real: -0.019212 Loss_D_fake 0.003591
[1039/5000][280/535][107121] Loss_D: -0.021427 Loss_G: 0.006592 Loss_D_real: -0.034568 Loss_D_fake -0.013141
[1039/5000][285/535][107122] Loss_D: -0.024140 Loss_G: 0.011468 Loss_D_real: -0.020243 Loss_D_fake 0.003897
[1039/5000][290/535][107123] Loss_D: -0.022923 Loss_G: 0.020080 Loss_D_real: -0.017717 Loss_D_fake 0.005206
[1039/5000][295/535][107124] Loss_D: -0.022817 Loss_G: -0.001681 Loss_D_real: -0.015341 Loss_D_fake 0.007476
[1039/5000][300/535][107125] Loss_D: -0.023517 Loss_G: 0.004772 Loss_D_real: -0.009870 Loss_D_fake 0.013647
[1039/5000][305/535][107126] Loss_D: -0.023319 Loss_G: -0.006951 Loss_D_real: -0.009040 Loss_D_fake 0.014280
[1039/5000][310/535][107127] Loss_D: -0.023276 Loss_G: 0.013198 Loss_D_real: -0.020776 Loss_D_fake 0.002500
[1039/5000][315/535][107128] Loss_D: -0.021652 Loss_G: -0.011789 Loss_D_real: -0.009828 Loss_D_fake 0.011824
[1039/5000][320/535][107129] Loss_D: -0.020916 Loss_G: -0.020912 Loss_D_real: -0.003866 Loss_D_fake 0.017051
[1039/5000][325/535][107130] Loss_D: -0.021764 Loss_G: 0.000750 Loss_D_real: -0.017435 Loss_D_fake 0.004330
[1039/5000][330/535][107131] Loss_D: -0.022194 Loss_G: 0.015783 Loss_D_real: -0.006099 Loss_D_fake 0.016095
[1039/5000][335/535][107132] Loss_D: -0.022657 Loss_G: -0.001044 Loss_D_real: -0.012744 Loss_D_fake 0.009912
[1039/5000][340/535][107133] Loss_D: -0.023151 Loss_G: -0.015699 Loss_D_real: -0.009122 Loss_D_fake 0.014029
[1039/5000][345/535][107134] Loss_D: -0.022059 Loss_G: -0.001089 Loss_D_real: -0.014761 Loss_D_fake 0.007298
[1039/5000][350/535][107135] Loss_D: -0.022538 Loss_G: 0.028037 Loss_D_real: -0.027380 Loss_D_fake -0.004843
[1039/5000][355/535][107136] Loss_D: -0.022921 Loss_G: 0.011545 Loss_D_real: -0.015798 Loss_D_fake 0.007123
[1039/5000][360/535][107137] Loss_D: -0.022740 Loss_G: -0.016579 Loss_D_real: -0.009707 Loss_D_fake 0.013032
[1039/5000][365/535][107138] Loss_D: -0.021310 Loss_G: 0.033216 Loss_D_real: -0.036517 Loss_D_fake -0.015207
[1039/5000][370/535][107139] Loss_D: -0.021717 Loss_G: 0.005374 Loss_D_real: -0.016137 Loss_D_fake 0.005580
[1039/5000][375/535][107140] Loss_D: -0.021897 Loss_G: 0.018888 Loss_D_real: -0.020445 Loss_D_fake 0.001452
[1039/5000][380/535][107141] Loss_D: -0.022720 Loss_G: -0.004847 Loss_D_real: -0.015899 Loss_D_fake 0.006821
[1039/5000][385/535][107142] Loss_D: -0.021852 Loss_G: 0.002801 Loss_D_real: -0.013580 Loss_D_fake 0.008273
[1039/5000][390/535][107143] Loss_D: -0.023777 Loss_G: 0.026912 Loss_D_real: -0.032395 Loss_D_fake -0.008618
[1039/5000][395/535][107144] Loss_D: -0.022261 Loss_G: 0.026452 Loss_D_real: -0.031553 Loss_D_fake -0.009292
[1039/5000][400/535][107145] Loss_D: -0.021474 Loss_G: 0.029297 Loss_D_real: -0.032760 Loss_D_fake -0.011287
[1039/5000][405/535][107146] Loss_D: -0.024232 Loss_G: -0.000299 Loss_D_real: -0.010454 Loss_D_fake 0.013778
[1039/5000][410/535][107147] Loss_D: -0.022721 Loss_G: -0.016168 Loss_D_real: -0.003052 Loss_D_fake 0.019669
[1039/5000][415/535][107148] Loss_D: -0.021761 Loss_G: 0.022163 Loss_D_real: -0.031472 Loss_D_fake -0.009711
[1039/5000][420/535][107149] Loss_D: -0.021936 Loss_G: 0.002625 Loss_D_real: -0.025454 Loss_D_fake -0.003517
[1039/5000][425/535][107150] Loss_D: -0.022341 Loss_G: -0.010072 Loss_D_real: -0.000206 Loss_D_fake 0.022136
[1039/5000][430/535][107151] Loss_D: -0.022628 Loss_G: 0.011962 Loss_D_real: -0.020107 Loss_D_fake 0.002521
[1039/5000][435/535][107152] Loss_D: -0.021803 Loss_G: 0.000168 Loss_D_real: 0.004363 Loss_D_fake 0.026166
[1039/5000][440/535][107153] Loss_D: -0.021252 Loss_G: -0.014766 Loss_D_real: -0.004157 Loss_D_fake 0.017095
[1039/5000][445/535][107154] Loss_D: -0.022436 Loss_G: 0.017531 Loss_D_real: -0.025388 Loss_D_fake -0.002951
[1039/5000][450/535][107155] Loss_D: -0.022812 Loss_G: 0.022813 Loss_D_real: -0.023325 Loss_D_fake -0.000513
[1039/5000][455/535][107156] Loss_D: -0.022694 Loss_G: -0.013920 Loss_D_real: -0.005039 Loss_D_fake 0.017655
[1039/5000][460/535][107157] Loss_D: -0.022777 Loss_G: 0.010879 Loss_D_real: -0.007818 Loss_D_fake 0.014959
[1039/5000][465/535][107158] Loss_D: -0.022161 Loss_G: 0.011324 Loss_D_real: -0.012585 Loss_D_fake 0.009577
[1039/5000][470/535][107159] Loss_D: -0.019653 Loss_G: -0.020229 Loss_D_real: 0.000444 Loss_D_fake 0.020097
[1039/5000][475/535][107160] Loss_D: -0.023002 Loss_G: 0.017475 Loss_D_real: -0.014064 Loss_D_fake 0.008938
[1039/5000][480/535][107161] Loss_D: -0.021349 Loss_G: 0.006818 Loss_D_real: -0.014198 Loss_D_fake 0.007151
[1039/5000][485/535][107162] Loss_D: -0.022552 Loss_G: 0.016292 Loss_D_real: -0.019437 Loss_D_fake 0.003115
[1039/5000][490/535][107163] Loss_D: -0.021258 Loss_G: 0.014675 Loss_D_real: -0.033471 Loss_D_fake -0.012213
[1039/5000][495/535][107164] Loss_D: -0.022422 Loss_G: -0.000700 Loss_D_real: -0.019406 Loss_D_fake 0.003017
[1039/5000][500/535][107165] Loss_D: -0.022384 Loss_G: 0.010094 Loss_D_real: -0.018194 Loss_D_fake 0.004190
[1039/5000][505/535][107166] Loss_D: -0.020810 Loss_G: -0.011517 Loss_D_real: -0.014272 Loss_D_fake 0.006538
[1039/5000][510/535][107167] Loss_D: -0.022805 Loss_G: 0.013176 Loss_D_real: -0.030759 Loss_D_fake -0.007955
[1039/5000][515/535][107168] Loss_D: -0.023125 Loss_G: 0.004204 Loss_D_real: -0.013940 Loss_D_fake 0.009184
[1039/5000][520/535][107169] Loss_D: -0.021310 Loss_G: 0.019394 Loss_D_real: -0.023107 Loss_D_fake -0.001797
[1039/5000][525/535][107170] Loss_D: -0.023121 Loss_G: 0.007483 Loss_D_real: -0.013945 Loss_D_fake 0.009176
[1039/5000][530/535][107171] Loss_D: -0.022520 Loss_G: 0.005885 Loss_D_real: -0.005877 Loss_D_fake 0.016643
[1039/5000][535/535][107172] Loss_D: -0.020311 Loss_G: 0.025514 Loss_D_real: -0.029239 Loss_D_fake -0.008928
[1040/5000][5/535][107173] Loss_D: -0.024400 Loss_G: 0.002229 Loss_D_real: -0.021844 Loss_D_fake 0.002557
[1040/5000][10/535][107174] Loss_D: -0.022667 Loss_G: 0.021223 Loss_D_real: -0.025694 Loss_D_fake -0.003028
[1040/5000][15/535][107175] Loss_D: -0.022219 Loss_G: 0.017321 Loss_D_real: -0.034667 Loss_D_fake -0.012447
[1040/5000][20/535][107176] Loss_D: -0.023641 Loss_G: 0.010263 Loss_D_real: -0.016983 Loss_D_fake 0.006658
[1040/5000][25/535][107177] Loss_D: -0.022672 Loss_G: 0.022247 Loss_D_real: -0.040242 Loss_D_fake -0.017569
[1040/5000][30/535][107178] Loss_D: -0.022761 Loss_G: -0.002961 Loss_D_real: -0.012060 Loss_D_fake 0.010701
[1040/5000][35/535][107179] Loss_D: -0.022074 Loss_G: 0.009906 Loss_D_real: -0.018604 Loss_D_fake 0.003470
[1040/5000][40/535][107180] Loss_D: -0.021641 Loss_G: -0.013246 Loss_D_real: -0.003375 Loss_D_fake 0.018266
[1040/5000][45/535][107181] Loss_D: -0.021997 Loss_G: 0.005233 Loss_D_real: -0.029881 Loss_D_fake -0.007884
[1040/5000][50/535][107182] Loss_D: -0.022345 Loss_G: 0.023992 Loss_D_real: -0.023384 Loss_D_fake -0.001039
[1040/5000][55/535][107183] Loss_D: -0.022031 Loss_G: 0.008994 Loss_D_real: -0.029655 Loss_D_fake -0.007623
[1040/5000][60/535][107184] Loss_D: -0.023882 Loss_G: 0.015641 Loss_D_real: -0.026129 Loss_D_fake -0.002246
[1040/5000][65/535][107185] Loss_D: -0.022276 Loss_G: -0.011041 Loss_D_real: -0.012576 Loss_D_fake 0.009700
[1040/5000][70/535][107186] Loss_D: -0.021029 Loss_G: 0.019537 Loss_D_real: -0.029009 Loss_D_fake -0.007979
[1040/5000][75/535][107187] Loss_D: -0.022913 Loss_G: -0.000983 Loss_D_real: -0.016951 Loss_D_fake 0.005961
[1040/5000][80/535][107188] Loss_D: -0.021579 Loss_G: 0.012230 Loss_D_real: -0.021952 Loss_D_fake -0.000373
[1040/5000][85/535][107189] Loss_D: -0.020499 Loss_G: 0.009148 Loss_D_real: -0.023588 Loss_D_fake -0.003089
[1040/5000][90/535][107190] Loss_D: -0.022562 Loss_G: -0.003471 Loss_D_real: -0.009261 Loss_D_fake 0.013302
[1040/5000][95/535][107191] Loss_D: -0.022700 Loss_G: 0.017059 Loss_D_real: -0.015768 Loss_D_fake 0.006933
[1040/5000][100/535][107192] Loss_D: -0.023658 Loss_G: 0.003808 Loss_D_real: -0.002233 Loss_D_fake 0.021425
[1040/5000][105/535][107193] Loss_D: -0.022055 Loss_G: 0.014595 Loss_D_real: -0.030145 Loss_D_fake -0.008090
[1040/5000][110/535][107194] Loss_D: -0.022614 Loss_G: 0.017697 Loss_D_real: -0.031567 Loss_D_fake -0.008953
[1040/5000][115/535][107195] Loss_D: -0.024078 Loss_G: 0.004567 Loss_D_real: -0.024522 Loss_D_fake -0.000444
[1040/5000][120/535][107196] Loss_D: -0.023490 Loss_G: 0.000404 Loss_D_real: -0.012518 Loss_D_fake 0.010972
[1040/5000][125/535][107197] Loss_D: -0.023108 Loss_G: 0.015065 Loss_D_real: -0.023896 Loss_D_fake -0.000787
[1040/5000][130/535][107198] Loss_D: -0.021329 Loss_G: 0.025632 Loss_D_real: -0.031980 Loss_D_fake -0.010651
[1040/5000][135/535][107199] Loss_D: -0.023098 Loss_G: 0.004634 Loss_D_real: -0.018732 Loss_D_fake 0.004365
[1040/5000][140/535][107200] Loss_D: -0.021700 Loss_G: 0.007551 Loss_D_real: -0.008778 Loss_D_fake 0.012923
[1040/5000][145/535][107201] Loss_D: -0.023093 Loss_G: -0.005357 Loss_D_real: -0.015443 Loss_D_fake 0.007650
[1040/5000][150/535][107202] Loss_D: -0.023507 Loss_G: 0.019231 Loss_D_real: -0.028653 Loss_D_fake -0.005146
[1040/5000][155/535][107203] Loss_D: -0.023042 Loss_G: -0.003134 Loss_D_real: -0.000528 Loss_D_fake 0.022515
[1040/5000][160/535][107204] Loss_D: -0.022731 Loss_G: 0.014093 Loss_D_real: -0.023193 Loss_D_fake -0.000461
[1040/5000][165/535][107205] Loss_D: -0.022463 Loss_G: 0.021598 Loss_D_real: -0.022033 Loss_D_fake 0.000430
[1040/5000][170/535][107206] Loss_D: -0.021900 Loss_G: 0.011892 Loss_D_real: -0.012602 Loss_D_fake 0.009299
[1040/5000][175/535][107207] Loss_D: -0.022935 Loss_G: 0.013721 Loss_D_real: -0.026789 Loss_D_fake -0.003854
[1040/5000][180/535][107208] Loss_D: -0.022721 Loss_G: 0.008232 Loss_D_real: -0.005820 Loss_D_fake 0.016901
[1040/5000][185/535][107209] Loss_D: -0.022989 Loss_G: 0.017275 Loss_D_real: -0.020967 Loss_D_fake 0.002021
[1040/5000][190/535][107210] Loss_D: -0.022293 Loss_G: -0.012433 Loss_D_real: -0.009367 Loss_D_fake 0.012926
[1040/5000][195/535][107211] Loss_D: -0.022150 Loss_G: 0.013182 Loss_D_real: -0.022795 Loss_D_fake -0.000645
[1040/5000][200/535][107212] Loss_D: -0.020695 Loss_G: 0.029848 Loss_D_real: -0.029276 Loss_D_fake -0.008581
[1040/5000][205/535][107213] Loss_D: -0.021960 Loss_G: -0.007693 Loss_D_real: -0.008651 Loss_D_fake 0.013310
[1040/5000][210/535][107214] Loss_D: -0.021345 Loss_G: 0.010477 Loss_D_real: -0.027049 Loss_D_fake -0.005703
[1040/5000][215/535][107215] Loss_D: -0.022685 Loss_G: 0.009800 Loss_D_real: -0.025764 Loss_D_fake -0.003079
[1040/5000][220/535][107216] Loss_D: -0.022236 Loss_G: -0.000763 Loss_D_real: -0.010528 Loss_D_fake 0.011708
[1040/5000][225/535][107217] Loss_D: -0.022229 Loss_G: 0.015345 Loss_D_real: -0.021275 Loss_D_fake 0.000954
[1040/5000][230/535][107218] Loss_D: -0.023080 Loss_G: 0.017874 Loss_D_real: -0.020497 Loss_D_fake 0.002583
[1040/5000][235/535][107219] Loss_D: -0.023380 Loss_G: 0.019101 Loss_D_real: -0.013148 Loss_D_fake 0.010232
[1040/5000][240/535][107220] Loss_D: -0.021819 Loss_G: 0.017979 Loss_D_real: -0.028909 Loss_D_fake -0.007091
[1040/5000][245/535][107221] Loss_D: -0.022778 Loss_G: 0.000774 Loss_D_real: -0.024133 Loss_D_fake -0.001355
[1040/5000][250/535][107222] Loss_D: -0.021910 Loss_G: 0.005387 Loss_D_real: -0.014557 Loss_D_fake 0.007354
[1040/5000][255/535][107223] Loss_D: -0.021497 Loss_G: 0.020569 Loss_D_real: -0.030464 Loss_D_fake -0.008966
[1040/5000][260/535][107224] Loss_D: -0.022462 Loss_G: 0.000813 Loss_D_real: -0.002422 Loss_D_fake 0.020040
[1040/5000][265/535][107225] Loss_D: -0.021768 Loss_G: 0.010738 Loss_D_real: -0.025977 Loss_D_fake -0.004209
[1040/5000][270/535][107226] Loss_D: -0.022658 Loss_G: 0.002578 Loss_D_real: -0.019223 Loss_D_fake 0.003435
[1040/5000][275/535][107227] Loss_D: -0.021160 Loss_G: 0.011559 Loss_D_real: -0.031359 Loss_D_fake -0.010199
[1040/5000][280/535][107228] Loss_D: -0.022507 Loss_G: 0.014441 Loss_D_real: -0.010670 Loss_D_fake 0.011837
[1040/5000][285/535][107229] Loss_D: -0.021853 Loss_G: -0.001363 Loss_D_real: -0.005563 Loss_D_fake 0.016290
[1040/5000][290/535][107230] Loss_D: -0.022251 Loss_G: 0.020216 Loss_D_real: -0.026319 Loss_D_fake -0.004068
[1040/5000][295/535][107231] Loss_D: -0.022107 Loss_G: 0.009571 Loss_D_real: -0.018258 Loss_D_fake 0.003849
[1040/5000][300/535][107232] Loss_D: -0.023092 Loss_G: 0.005147 Loss_D_real: -0.024034 Loss_D_fake -0.000943
[1040/5000][305/535][107233] Loss_D: -0.022794 Loss_G: 0.004184 Loss_D_real: -0.019515 Loss_D_fake 0.003279
[1040/5000][310/535][107234] Loss_D: -0.021006 Loss_G: 0.022310 Loss_D_real: -0.020507 Loss_D_fake 0.000499
[1040/5000][315/535][107235] Loss_D: -0.020338 Loss_G: 0.013132 Loss_D_real: -0.017787 Loss_D_fake 0.002551
[1040/5000][320/535][107236] Loss_D: -0.021641 Loss_G: 0.022143 Loss_D_real: -0.028962 Loss_D_fake -0.007321
[1040/5000][325/535][107237] Loss_D: -0.021485 Loss_G: -0.005694 Loss_D_real: -0.010197 Loss_D_fake 0.011288
[1040/5000][330/535][107238] Loss_D: -0.022026 Loss_G: 0.019377 Loss_D_real: -0.027361 Loss_D_fake -0.005335
[1040/5000][335/535][107239] Loss_D: -0.019756 Loss_G: -0.013318 Loss_D_real: -0.005713 Loss_D_fake 0.014043
[1040/5000][340/535][107240] Loss_D: -0.021802 Loss_G: 0.003712 Loss_D_real: -0.020442 Loss_D_fake 0.001359
[1040/5000][345/535][107241] Loss_D: -0.022945 Loss_G: 0.003144 Loss_D_real: -0.019761 Loss_D_fake 0.003184
[1040/5000][350/535][107242] Loss_D: -0.021000 Loss_G: 0.005089 Loss_D_real: -0.018111 Loss_D_fake 0.002889
[1040/5000][355/535][107243] Loss_D: -0.021494 Loss_G: 0.010386 Loss_D_real: -0.021384 Loss_D_fake 0.000111
[1040/5000][360/535][107244] Loss_D: -0.021427 Loss_G: 0.027560 Loss_D_real: -0.039756 Loss_D_fake -0.018328
[1040/5000][365/535][107245] Loss_D: -0.022324 Loss_G: 0.027505 Loss_D_real: -0.032624 Loss_D_fake -0.010300
[1040/5000][370/535][107246] Loss_D: -0.022227 Loss_G: -0.007254 Loss_D_real: -0.008573 Loss_D_fake 0.013653
[1040/5000][375/535][107247] Loss_D: -0.022488 Loss_G: 0.014360 Loss_D_real: -0.026636 Loss_D_fake -0.004148
[1040/5000][380/535][107248] Loss_D: -0.021800 Loss_G: 0.002090 Loss_D_real: -0.014081 Loss_D_fake 0.007720
[1040/5000][385/535][107249] Loss_D: -0.022996 Loss_G: 0.005333 Loss_D_real: -0.006459 Loss_D_fake 0.016537
[1040/5000][390/535][107250] Loss_D: -0.022010 Loss_G: 0.015317 Loss_D_real: -0.025818 Loss_D_fake -0.003808
[1040/5000][395/535][107251] Loss_D: -0.024361 Loss_G: -0.004919 Loss_D_real: -0.006568 Loss_D_fake 0.017793
[1040/5000][400/535][107252] Loss_D: -0.020798 Loss_G: -0.005242 Loss_D_real: -0.012043 Loss_D_fake 0.008755
[1040/5000][405/535][107253] Loss_D: -0.022926 Loss_G: 0.012058 Loss_D_real: -0.016192 Loss_D_fake 0.006734
[1040/5000][410/535][107254] Loss_D: -0.023450 Loss_G: 0.019245 Loss_D_real: -0.030085 Loss_D_fake -0.006634
[1040/5000][415/535][107255] Loss_D: -0.021815 Loss_G: 0.002704 Loss_D_real: -0.008671 Loss_D_fake 0.013144
[1040/5000][420/535][107256] Loss_D: -0.019224 Loss_G: 0.026064 Loss_D_real: -0.040065 Loss_D_fake -0.020841
[1040/5000][425/535][107257] Loss_D: -0.022661 Loss_G: 0.000357 Loss_D_real: -0.006864 Loss_D_fake 0.015797
[1040/5000][430/535][107258] Loss_D: -0.022994 Loss_G: -0.005610 Loss_D_real: -0.009779 Loss_D_fake 0.013215
[1040/5000][435/535][107259] Loss_D: -0.021470 Loss_G: -0.012113 Loss_D_real: -0.008234 Loss_D_fake 0.013236
[1040/5000][440/535][107260] Loss_D: -0.021252 Loss_G: 0.001558 Loss_D_real: -0.012654 Loss_D_fake 0.008599
[1040/5000][445/535][107261] Loss_D: -0.020345 Loss_G: -0.012662 Loss_D_real: 0.006795 Loss_D_fake 0.027141
[1040/5000][450/535][107262] Loss_D: -0.021953 Loss_G: 0.014407 Loss_D_real: -0.029265 Loss_D_fake -0.007312
[1040/5000][455/535][107263] Loss_D: -0.021987 Loss_G: 0.028863 Loss_D_real: -0.027241 Loss_D_fake -0.005254
[1040/5000][460/535][107264] Loss_D: -0.020376 Loss_G: -0.005081 Loss_D_real: -0.009132 Loss_D_fake 0.011245
[1040/5000][465/535][107265] Loss_D: -0.021594 Loss_G: -0.009978 Loss_D_real: -0.013130 Loss_D_fake 0.008465
[1040/5000][470/535][107266] Loss_D: -0.023683 Loss_G: 0.009584 Loss_D_real: -0.016437 Loss_D_fake 0.007246
[1040/5000][475/535][107267] Loss_D: -0.023209 Loss_G: 0.003658 Loss_D_real: -0.017587 Loss_D_fake 0.005622
[1040/5000][480/535][107268] Loss_D: -0.021838 Loss_G: 0.026198 Loss_D_real: -0.026857 Loss_D_fake -0.005019
[1040/5000][485/535][107269] Loss_D: -0.021138 Loss_G: 0.020978 Loss_D_real: -0.025059 Loss_D_fake -0.003920
[1040/5000][490/535][107270] Loss_D: -0.022550 Loss_G: -0.002180 Loss_D_real: -0.009261 Loss_D_fake 0.013289
[1040/5000][495/535][107271] Loss_D: -0.020499 Loss_G: 0.001366 Loss_D_real: -0.008832 Loss_D_fake 0.011667
[1040/5000][500/535][107272] Loss_D: -0.021830 Loss_G: -0.014111 Loss_D_real: -0.004707 Loss_D_fake 0.017124
[1040/5000][505/535][107273] Loss_D: -0.022438 Loss_G: -0.005809 Loss_D_real: -0.011853 Loss_D_fake 0.010585
[1040/5000][510/535][107274] Loss_D: -0.022352 Loss_G: 0.019291 Loss_D_real: -0.022287 Loss_D_fake 0.000065
[1040/5000][515/535][107275] Loss_D: -0.021819 Loss_G: 0.005493 Loss_D_real: -0.027533 Loss_D_fake -0.005714
[1040/5000][520/535][107276] Loss_D: -0.021441 Loss_G: 0.018734 Loss_D_real: -0.028367 Loss_D_fake -0.006926
[1040/5000][525/535][107277] Loss_D: -0.022728 Loss_G: 0.014242 Loss_D_real: -0.016793 Loss_D_fake 0.005935
[1040/5000][530/535][107278] Loss_D: -0.022196 Loss_G: 0.013229 Loss_D_real: -0.029011 Loss_D_fake -0.006815
[1040/5000][535/535][107279] Loss_D: -0.024256 Loss_G: 0.002870 Loss_D_real: -0.022448 Loss_D_fake 0.001809
[1041/5000][5/535][107280] Loss_D: -0.022169 Loss_G: 0.023741 Loss_D_real: -0.029960 Loss_D_fake -0.007790
[1041/5000][10/535][107281] Loss_D: -0.022077 Loss_G: -0.005949 Loss_D_real: -0.018258 Loss_D_fake 0.003820
[1041/5000][15/535][107282] Loss_D: -0.021664 Loss_G: 0.019706 Loss_D_real: -0.030110 Loss_D_fake -0.008447
[1041/5000][20/535][107283] Loss_D: -0.021976 Loss_G: 0.015762 Loss_D_real: -0.025075 Loss_D_fake -0.003099
[1041/5000][25/535][107284] Loss_D: -0.023518 Loss_G: 0.008977 Loss_D_real: -0.023683 Loss_D_fake -0.000165
[1041/5000][30/535][107285] Loss_D: -0.022823 Loss_G: 0.016180 Loss_D_real: -0.024698 Loss_D_fake -0.001875
[1041/5000][35/535][107286] Loss_D: -0.023580 Loss_G: 0.007155 Loss_D_real: -0.018182 Loss_D_fake 0.005398
[1041/5000][40/535][107287] Loss_D: -0.022513 Loss_G: 0.003731 Loss_D_real: -0.014083 Loss_D_fake 0.008430
[1041/5000][45/535][107288] Loss_D: -0.023782 Loss_G: 0.006102 Loss_D_real: -0.015795 Loss_D_fake 0.007987
[1041/5000][50/535][107289] Loss_D: -0.021701 Loss_G: 0.022428 Loss_D_real: -0.026380 Loss_D_fake -0.004679
[1041/5000][55/535][107290] Loss_D: -0.022649 Loss_G: 0.015444 Loss_D_real: -0.022347 Loss_D_fake 0.000302
[1041/5000][60/535][107291] Loss_D: -0.023002 Loss_G: 0.012149 Loss_D_real: -0.020695 Loss_D_fake 0.002306
[1041/5000][65/535][107292] Loss_D: -0.021906 Loss_G: -0.000073 Loss_D_real: -0.008425 Loss_D_fake 0.013482
[1041/5000][70/535][107293] Loss_D: -0.022914 Loss_G: -0.001743 Loss_D_real: -0.008089 Loss_D_fake 0.014825
[1041/5000][75/535][107294] Loss_D: -0.022445 Loss_G: 0.002195 Loss_D_real: -0.014790 Loss_D_fake 0.007655
[1041/5000][80/535][107295] Loss_D: -0.021943 Loss_G: -0.004845 Loss_D_real: -0.018093 Loss_D_fake 0.003850
[1041/5000][85/535][107296] Loss_D: -0.023031 Loss_G: 0.008312 Loss_D_real: -0.015611 Loss_D_fake 0.007420
[1041/5000][90/535][107297] Loss_D: -0.021253 Loss_G: 0.003400 Loss_D_real: -0.025006 Loss_D_fake -0.003752
[1041/5000][95/535][107298] Loss_D: -0.022366 Loss_G: -0.012868 Loss_D_real: 0.006761 Loss_D_fake 0.029127
[1041/5000][100/535][107299] Loss_D: -0.022694 Loss_G: 0.005720 Loss_D_real: -0.010826 Loss_D_fake 0.011868
[1041/5000][105/535][107300] Loss_D: -0.023010 Loss_G: 0.020542 Loss_D_real: -0.030944 Loss_D_fake -0.007934
[1041/5000][110/535][107301] Loss_D: -0.021861 Loss_G: 0.014084 Loss_D_real: -0.020859 Loss_D_fake 0.001002
[1041/5000][115/535][107302] Loss_D: -0.021793 Loss_G: 0.019186 Loss_D_real: -0.032353 Loss_D_fake -0.010560
[1041/5000][120/535][107303] Loss_D: -0.020985 Loss_G: 0.012175 Loss_D_real: -0.029378 Loss_D_fake -0.008393
[1041/5000][125/535][107304] Loss_D: -0.021849 Loss_G: -0.000264 Loss_D_real: -0.013910 Loss_D_fake 0.007939
[1041/5000][130/535][107305] Loss_D: -0.021655 Loss_G: 0.012173 Loss_D_real: -0.028729 Loss_D_fake -0.007074
[1041/5000][135/535][107306] Loss_D: -0.021593 Loss_G: -0.014404 Loss_D_real: -0.005362 Loss_D_fake 0.016231
[1041/5000][140/535][107307] Loss_D: -0.022956 Loss_G: -0.008541 Loss_D_real: 0.000486 Loss_D_fake 0.023442
[1041/5000][145/535][107308] Loss_D: -0.021742 Loss_G: 0.008336 Loss_D_real: -0.026233 Loss_D_fake -0.004492
[1041/5000][150/535][107309] Loss_D: -0.022864 Loss_G: 0.005496 Loss_D_real: -0.020594 Loss_D_fake 0.002271
[1041/5000][155/535][107310] Loss_D: -0.024072 Loss_G: 0.002908 Loss_D_real: -0.017387 Loss_D_fake 0.006686
[1041/5000][160/535][107311] Loss_D: -0.022489 Loss_G: 0.011647 Loss_D_real: -0.029748 Loss_D_fake -0.007258
[1041/5000][165/535][107312] Loss_D: -0.022651 Loss_G: 0.004389 Loss_D_real: -0.018271 Loss_D_fake 0.004379
[1041/5000][170/535][107313] Loss_D: -0.022281 Loss_G: -0.008559 Loss_D_real: -0.002092 Loss_D_fake 0.020189
[1041/5000][175/535][107314] Loss_D: -0.022908 Loss_G: 0.000964 Loss_D_real: -0.006061 Loss_D_fake 0.016847
[1041/5000][180/535][107315] Loss_D: -0.022449 Loss_G: 0.021260 Loss_D_real: -0.018709 Loss_D_fake 0.003740
[1041/5000][185/535][107316] Loss_D: -0.023537 Loss_G: 0.003221 Loss_D_real: -0.007270 Loss_D_fake 0.016268
[1041/5000][190/535][107317] Loss_D: -0.022749 Loss_G: 0.013740 Loss_D_real: -0.017176 Loss_D_fake 0.005573
[1041/5000][195/535][107318] Loss_D: -0.021449 Loss_G: 0.029440 Loss_D_real: -0.028610 Loss_D_fake -0.007161
[1041/5000][200/535][107319] Loss_D: -0.023434 Loss_G: 0.000239 Loss_D_real: -0.020550 Loss_D_fake 0.002885
[1041/5000][205/535][107320] Loss_D: -0.021621 Loss_G: 0.003456 Loss_D_real: -0.022501 Loss_D_fake -0.000880
[1041/5000][210/535][107321] Loss_D: -0.021626 Loss_G: 0.031244 Loss_D_real: -0.030673 Loss_D_fake -0.009047
[1041/5000][215/535][107322] Loss_D: -0.021991 Loss_G: 0.015583 Loss_D_real: -0.018894 Loss_D_fake 0.003097
[1041/5000][220/535][107323] Loss_D: -0.022607 Loss_G: 0.014225 Loss_D_real: -0.029260 Loss_D_fake -0.006653
[1041/5000][225/535][107324] Loss_D: -0.023659 Loss_G: 0.012272 Loss_D_real: -0.022819 Loss_D_fake 0.000840
[1041/5000][230/535][107325] Loss_D: -0.022940 Loss_G: 0.009981 Loss_D_real: -0.026731 Loss_D_fake -0.003790
[1041/5000][235/535][107326] Loss_D: -0.023000 Loss_G: 0.019917 Loss_D_real: -0.034941 Loss_D_fake -0.011941
[1041/5000][240/535][107327] Loss_D: -0.022361 Loss_G: -0.006499 Loss_D_real: -0.005600 Loss_D_fake 0.016761
[1041/5000][245/535][107328] Loss_D: -0.021425 Loss_G: 0.012394 Loss_D_real: -0.017839 Loss_D_fake 0.003587
[1041/5000][250/535][107329] Loss_D: -0.022020 Loss_G: -0.001805 Loss_D_real: -0.013831 Loss_D_fake 0.008189
[1041/5000][255/535][107330] Loss_D: -0.023147 Loss_G: -0.001018 Loss_D_real: -0.016268 Loss_D_fake 0.006879
[1041/5000][260/535][107331] Loss_D: -0.022820 Loss_G: 0.019666 Loss_D_real: -0.022446 Loss_D_fake 0.000375
[1041/5000][265/535][107332] Loss_D: -0.021837 Loss_G: -0.000500 Loss_D_real: -0.007070 Loss_D_fake 0.014766
[1041/5000][270/535][107333] Loss_D: -0.024190 Loss_G: 0.014787 Loss_D_real: -0.022069 Loss_D_fake 0.002122
[1041/5000][275/535][107334] Loss_D: -0.022957 Loss_G: 0.012490 Loss_D_real: -0.019184 Loss_D_fake 0.003773
[1041/5000][280/535][107335] Loss_D: -0.023517 Loss_G: 0.013482 Loss_D_real: -0.023581 Loss_D_fake -0.000063
[1041/5000][285/535][107336] Loss_D: -0.022155 Loss_G: -0.005652 Loss_D_real: -0.005701 Loss_D_fake 0.016454
[1041/5000][290/535][107337] Loss_D: -0.020121 Loss_G: 0.030052 Loss_D_real: -0.033944 Loss_D_fake -0.013822
[1041/5000][295/535][107338] Loss_D: -0.021433 Loss_G: 0.000611 Loss_D_real: -0.015526 Loss_D_fake 0.005907
[1041/5000][300/535][107339] Loss_D: -0.020839 Loss_G: 0.010634 Loss_D_real: -0.035007 Loss_D_fake -0.014168
[1041/5000][305/535][107340] Loss_D: -0.022598 Loss_G: 0.020782 Loss_D_real: -0.026290 Loss_D_fake -0.003692
[1041/5000][310/535][107341] Loss_D: -0.021635 Loss_G: 0.025491 Loss_D_real: -0.037353 Loss_D_fake -0.015718
[1041/5000][315/535][107342] Loss_D: -0.022036 Loss_G: 0.002836 Loss_D_real: -0.019183 Loss_D_fake 0.002853
[1041/5000][320/535][107343] Loss_D: -0.020902 Loss_G: 0.015713 Loss_D_real: -0.027584 Loss_D_fake -0.006681
[1041/5000][325/535][107344] Loss_D: -0.021019 Loss_G: 0.012567 Loss_D_real: -0.033064 Loss_D_fake -0.012045
[1041/5000][330/535][107345] Loss_D: -0.022120 Loss_G: 0.007143 Loss_D_real: -0.015500 Loss_D_fake 0.006619
[1041/5000][335/535][107346] Loss_D: -0.023040 Loss_G: -0.000717 Loss_D_real: -0.009279 Loss_D_fake 0.013761
[1041/5000][340/535][107347] Loss_D: -0.022778 Loss_G: -0.003912 Loss_D_real: -0.005258 Loss_D_fake 0.017520
[1041/5000][345/535][107348] Loss_D: -0.021349 Loss_G: 0.009363 Loss_D_real: -0.025081 Loss_D_fake -0.003732
[1041/5000][350/535][107349] Loss_D: -0.023479 Loss_G: -0.004158 Loss_D_real: -0.014432 Loss_D_fake 0.009047
[1041/5000][355/535][107350] Loss_D: -0.019045 Loss_G: 0.023991 Loss_D_real: -0.040818 Loss_D_fake -0.021773
[1041/5000][360/535][107351] Loss_D: -0.021224 Loss_G: -0.003970 Loss_D_real: -0.001195 Loss_D_fake 0.020029
[1041/5000][365/535][107352] Loss_D: -0.022665 Loss_G: 0.001133 Loss_D_real: -0.008919 Loss_D_fake 0.013746
[1041/5000][370/535][107353] Loss_D: -0.020728 Loss_G: 0.025441 Loss_D_real: -0.036074 Loss_D_fake -0.015346
[1041/5000][375/535][107354] Loss_D: -0.021711 Loss_G: 0.014531 Loss_D_real: -0.016857 Loss_D_fake 0.004854
[1041/5000][380/535][107355] Loss_D: -0.022363 Loss_G: -0.003980 Loss_D_real: -0.014160 Loss_D_fake 0.008203
[1041/5000][385/535][107356] Loss_D: -0.023020 Loss_G: -0.003621 Loss_D_real: -0.015901 Loss_D_fake 0.007119
[1041/5000][390/535][107357] Loss_D: -0.022530 Loss_G: 0.010236 Loss_D_real: -0.019319 Loss_D_fake 0.003212
[1041/5000][395/535][107358] Loss_D: -0.020934 Loss_G: -0.017465 Loss_D_real: -0.009026 Loss_D_fake 0.011907
[1041/5000][400/535][107359] Loss_D: -0.021314 Loss_G: 0.025441 Loss_D_real: -0.026296 Loss_D_fake -0.004982
[1041/5000][405/535][107360] Loss_D: -0.022609 Loss_G: -0.015055 Loss_D_real: -0.007306 Loss_D_fake 0.015304
[1041/5000][410/535][107361] Loss_D: -0.022925 Loss_G: 0.019608 Loss_D_real: -0.020770 Loss_D_fake 0.002154
[1041/5000][415/535][107362] Loss_D: -0.021653 Loss_G: -0.005700 Loss_D_real: 0.002809 Loss_D_fake 0.024462
[1041/5000][420/535][107363] Loss_D: -0.023143 Loss_G: -0.000934 Loss_D_real: -0.018559 Loss_D_fake 0.004584
[1041/5000][425/535][107364] Loss_D: -0.022952 Loss_G: 0.025996 Loss_D_real: -0.019620 Loss_D_fake 0.003331
[1041/5000][430/535][107365] Loss_D: -0.021719 Loss_G: 0.004776 Loss_D_real: -0.012405 Loss_D_fake 0.009315
[1041/5000][435/535][107366] Loss_D: -0.022101 Loss_G: -0.009575 Loss_D_real: -0.004107 Loss_D_fake 0.017994
[1041/5000][440/535][107367] Loss_D: -0.020525 Loss_G: -0.001249 Loss_D_real: -0.002665 Loss_D_fake 0.017860
[1041/5000][445/535][107368] Loss_D: -0.023018 Loss_G: 0.023047 Loss_D_real: -0.034731 Loss_D_fake -0.011713
[1041/5000][450/535][107369] Loss_D: -0.021725 Loss_G: 0.013313 Loss_D_real: -0.026918 Loss_D_fake -0.005194
[1041/5000][455/535][107370] Loss_D: -0.021719 Loss_G: 0.026213 Loss_D_real: -0.039675 Loss_D_fake -0.017956
[1041/5000][460/535][107371] Loss_D: -0.022913 Loss_G: 0.013061 Loss_D_real: -0.028474 Loss_D_fake -0.005561
[1041/5000][465/535][107372] Loss_D: -0.023209 Loss_G: 0.001192 Loss_D_real: -0.018547 Loss_D_fake 0.004662
[1041/5000][470/535][107373] Loss_D: -0.024851 Loss_G: 0.003267 Loss_D_real: -0.019547 Loss_D_fake 0.005304
[1041/5000][475/535][107374] Loss_D: -0.022849 Loss_G: -0.008434 Loss_D_real: -0.008804 Loss_D_fake 0.014045
[1041/5000][480/535][107375] Loss_D: -0.024317 Loss_G: 0.005880 Loss_D_real: -0.007281 Loss_D_fake 0.017036
[1041/5000][485/535][107376] Loss_D: -0.023482 Loss_G: 0.027641 Loss_D_real: -0.023911 Loss_D_fake -0.000430
[1041/5000][490/535][107377] Loss_D: -0.024786 Loss_G: -0.001796 Loss_D_real: -0.004826 Loss_D_fake 0.019961
[1041/5000][495/535][107378] Loss_D: -0.022836 Loss_G: 0.003115 Loss_D_real: -0.034573 Loss_D_fake -0.011737
[1041/5000][500/535][107379] Loss_D: -0.023650 Loss_G: 0.023160 Loss_D_real: -0.024260 Loss_D_fake -0.000610
[1041/5000][505/535][107380] Loss_D: -0.022648 Loss_G: -0.012408 Loss_D_real: -0.008551 Loss_D_fake 0.014097
[1041/5000][510/535][107381] Loss_D: -0.022289 Loss_G: 0.008338 Loss_D_real: -0.012476 Loss_D_fake 0.009813
[1041/5000][515/535][107382] Loss_D: -0.021564 Loss_G: 0.019352 Loss_D_real: -0.031083 Loss_D_fake -0.009519
[1041/5000][520/535][107383] Loss_D: -0.022565 Loss_G: -0.013462 Loss_D_real: -0.008711 Loss_D_fake 0.013854
[1041/5000][525/535][107384] Loss_D: -0.021988 Loss_G: -0.007860 Loss_D_real: -0.009177 Loss_D_fake 0.012811
[1041/5000][530/535][107385] Loss_D: -0.023133 Loss_G: 0.030869 Loss_D_real: -0.020139 Loss_D_fake 0.002994
[1041/5000][535/535][107386] Loss_D: -0.021602 Loss_G: -0.013576 Loss_D_real: -0.027503 Loss_D_fake -0.005900
[1042/5000][5/535][107387] Loss_D: -0.022719 Loss_G: 0.018305 Loss_D_real: -0.019359 Loss_D_fake 0.003360
[1042/5000][10/535][107388] Loss_D: -0.020342 Loss_G: -0.005071 Loss_D_real: -0.007470 Loss_D_fake 0.012872
[1042/5000][15/535][107389] Loss_D: -0.021867 Loss_G: 0.021742 Loss_D_real: -0.030416 Loss_D_fake -0.008549
[1042/5000][20/535][107390] Loss_D: -0.023683 Loss_G: 0.012591 Loss_D_real: -0.015933 Loss_D_fake 0.007750
[1042/5000][25/535][107391] Loss_D: -0.020834 Loss_G: -0.004762 Loss_D_real: -0.016036 Loss_D_fake 0.004798
[1042/5000][30/535][107392] Loss_D: -0.021636 Loss_G: 0.028970 Loss_D_real: -0.026442 Loss_D_fake -0.004807
[1042/5000][35/535][107393] Loss_D: -0.021475 Loss_G: 0.002715 Loss_D_real: -0.009209 Loss_D_fake 0.012266
[1042/5000][40/535][107394] Loss_D: -0.021698 Loss_G: 0.000884 Loss_D_real: -0.018216 Loss_D_fake 0.003482
[1042/5000][45/535][107395] Loss_D: -0.021479 Loss_G: -0.002035 Loss_D_real: -0.013174 Loss_D_fake 0.008305
[1042/5000][50/535][107396] Loss_D: -0.022336 Loss_G: 0.009616 Loss_D_real: -0.014616 Loss_D_fake 0.007719
[1042/5000][55/535][107397] Loss_D: -0.021841 Loss_G: 0.021453 Loss_D_real: -0.027743 Loss_D_fake -0.005902
[1042/5000][60/535][107398] Loss_D: -0.021797 Loss_G: 0.021234 Loss_D_real: -0.026581 Loss_D_fake -0.004784
[1042/5000][65/535][107399] Loss_D: -0.021150 Loss_G: -0.000137 Loss_D_real: -0.009757 Loss_D_fake 0.011394
[1042/5000][70/535][107400] Loss_D: -0.023110 Loss_G: 0.005032 Loss_D_real: -0.012020 Loss_D_fake 0.011090
[1042/5000][75/535][107401] Loss_D: -0.023085 Loss_G: 0.010946 Loss_D_real: -0.013445 Loss_D_fake 0.009640
[1042/5000][80/535][107402] Loss_D: -0.022459 Loss_G: -0.010083 Loss_D_real: -0.001257 Loss_D_fake 0.021202
[1042/5000][85/535][107403] Loss_D: -0.022272 Loss_G: 0.014985 Loss_D_real: -0.021962 Loss_D_fake 0.000311
[1042/5000][90/535][107404] Loss_D: -0.021534 Loss_G: -0.015009 Loss_D_real: 0.002681 Loss_D_fake 0.024215
[1042/5000][95/535][107405] Loss_D: -0.021829 Loss_G: 0.016389 Loss_D_real: -0.029975 Loss_D_fake -0.008146
[1042/5000][100/535][107406] Loss_D: -0.021196 Loss_G: 0.007621 Loss_D_real: -0.024440 Loss_D_fake -0.003244
[1042/5000][105/535][107407] Loss_D: -0.021611 Loss_G: 0.026675 Loss_D_real: -0.019568 Loss_D_fake 0.002042
[1042/5000][110/535][107408] Loss_D: -0.022678 Loss_G: 0.004788 Loss_D_real: -0.023113 Loss_D_fake -0.000435
[1042/5000][115/535][107409] Loss_D: -0.023283 Loss_G: 0.001299 Loss_D_real: -0.013801 Loss_D_fake 0.009482
[1042/5000][120/535][107410] Loss_D: -0.022990 Loss_G: 0.010407 Loss_D_real: -0.024650 Loss_D_fake -0.001660
[1042/5000][125/535][107411] Loss_D: -0.022385 Loss_G: 0.012174 Loss_D_real: -0.020878 Loss_D_fake 0.001507
[1042/5000][130/535][107412] Loss_D: -0.020924 Loss_G: 0.007618 Loss_D_real: -0.026150 Loss_D_fake -0.005226
[1042/5000][135/535][107413] Loss_D: -0.022251 Loss_G: 0.010580 Loss_D_real: -0.032438 Loss_D_fake -0.010187
[1042/5000][140/535][107414] Loss_D: -0.022817 Loss_G: 0.002401 Loss_D_real: -0.021106 Loss_D_fake 0.001711
[1042/5000][145/535][107415] Loss_D: -0.023276 Loss_G: 0.014996 Loss_D_real: -0.025067 Loss_D_fake -0.001791
[1042/5000][150/535][107416] Loss_D: -0.020515 Loss_G: -0.003624 Loss_D_real: -0.017115 Loss_D_fake 0.003400
[1042/5000][155/535][107417] Loss_D: -0.022066 Loss_G: 0.030137 Loss_D_real: -0.032593 Loss_D_fake -0.010527
[1042/5000][160/535][107418] Loss_D: -0.020668 Loss_G: 0.012082 Loss_D_real: -0.029511 Loss_D_fake -0.008843
[1042/5000][165/535][107419] Loss_D: -0.022694 Loss_G: 0.021841 Loss_D_real: -0.037484 Loss_D_fake -0.014790
[1042/5000][170/535][107420] Loss_D: -0.022866 Loss_G: -0.001792 Loss_D_real: -0.001232 Loss_D_fake 0.021635
[1042/5000][175/535][107421] Loss_D: -0.022603 Loss_G: 0.020370 Loss_D_real: -0.015848 Loss_D_fake 0.006754
[1042/5000][180/535][107422] Loss_D: -0.023048 Loss_G: 0.014564 Loss_D_real: -0.020113 Loss_D_fake 0.002935
[1042/5000][185/535][107423] Loss_D: -0.023033 Loss_G: 0.020190 Loss_D_real: -0.028697 Loss_D_fake -0.005664
[1042/5000][190/535][107424] Loss_D: -0.022496 Loss_G: 0.011801 Loss_D_real: -0.015043 Loss_D_fake 0.007453
[1042/5000][195/535][107425] Loss_D: -0.022875 Loss_G: 0.011302 Loss_D_real: -0.007776 Loss_D_fake 0.015100
[1042/5000][200/535][107426] Loss_D: -0.021259 Loss_G: -0.002253 Loss_D_real: -0.013341 Loss_D_fake 0.007918
[1042/5000][205/535][107427] Loss_D: -0.022685 Loss_G: 0.000382 Loss_D_real: -0.019869 Loss_D_fake 0.002816
[1042/5000][210/535][107428] Loss_D: -0.022140 Loss_G: 0.011338 Loss_D_real: -0.024327 Loss_D_fake -0.002187
[1042/5000][215/535][107429] Loss_D: -0.021186 Loss_G: 0.032452 Loss_D_real: -0.029375 Loss_D_fake -0.008190
[1042/5000][220/535][107430] Loss_D: -0.022429 Loss_G: -0.010257 Loss_D_real: -0.012264 Loss_D_fake 0.010165
[1042/5000][225/535][107431] Loss_D: -0.021435 Loss_G: -0.020472 Loss_D_real: -0.002805 Loss_D_fake 0.018630
[1042/5000][230/535][107432] Loss_D: -0.022098 Loss_G: 0.005328 Loss_D_real: -0.010348 Loss_D_fake 0.011751
[1042/5000][235/535][107433] Loss_D: -0.022550 Loss_G: -0.003410 Loss_D_real: -0.023067 Loss_D_fake -0.000516
[1042/5000][240/535][107434] Loss_D: -0.023077 Loss_G: 0.002931 Loss_D_real: -0.011040 Loss_D_fake 0.012037
[1042/5000][245/535][107435] Loss_D: -0.021660 Loss_G: 0.006766 Loss_D_real: -0.013219 Loss_D_fake 0.008441
[1042/5000][250/535][107436] Loss_D: -0.022858 Loss_G: 0.004894 Loss_D_real: -0.008384 Loss_D_fake 0.014474
[1042/5000][255/535][107437] Loss_D: -0.023265 Loss_G: 0.001353 Loss_D_real: -0.026117 Loss_D_fake -0.002851
[1042/5000][260/535][107438] Loss_D: -0.022615 Loss_G: 0.009321 Loss_D_real: -0.019525 Loss_D_fake 0.003091
[1042/5000][265/535][107439] Loss_D: -0.022703 Loss_G: 0.020350 Loss_D_real: -0.023857 Loss_D_fake -0.001154
[1042/5000][270/535][107440] Loss_D: -0.022053 Loss_G: 0.016468 Loss_D_real: -0.023891 Loss_D_fake -0.001838
[1042/5000][275/535][107441] Loss_D: -0.020606 Loss_G: 0.019018 Loss_D_real: -0.043470 Loss_D_fake -0.022864
[1042/5000][280/535][107442] Loss_D: -0.021368 Loss_G: 0.011831 Loss_D_real: -0.031939 Loss_D_fake -0.010571
[1042/5000][285/535][107443] Loss_D: -0.022855 Loss_G: 0.004517 Loss_D_real: -0.035889 Loss_D_fake -0.013033
[1042/5000][290/535][107444] Loss_D: -0.020926 Loss_G: 0.031821 Loss_D_real: -0.029688 Loss_D_fake -0.008762
[1042/5000][295/535][107445] Loss_D: -0.021695 Loss_G: 0.000154 Loss_D_real: -0.019234 Loss_D_fake 0.002462
[1042/5000][300/535][107446] Loss_D: -0.021854 Loss_G: -0.005020 Loss_D_real: -0.004794 Loss_D_fake 0.017060
[1042/5000][305/535][107447] Loss_D: -0.022355 Loss_G: 0.006463 Loss_D_real: -0.007938 Loss_D_fake 0.014417
[1042/5000][310/535][107448] Loss_D: -0.022947 Loss_G: 0.004274 Loss_D_real: -0.012132 Loss_D_fake 0.010815
[1042/5000][315/535][107449] Loss_D: -0.022004 Loss_G: 0.032230 Loss_D_real: -0.025376 Loss_D_fake -0.003371
[1042/5000][320/535][107450] Loss_D: -0.025375 Loss_G: 0.001071 Loss_D_real: -0.020839 Loss_D_fake 0.004535
[1042/5000][325/535][107451] Loss_D: -0.022199 Loss_G: 0.013133 Loss_D_real: -0.020428 Loss_D_fake 0.001771
[1042/5000][330/535][107452] Loss_D: -0.022745 Loss_G: 0.000086 Loss_D_real: -0.015096 Loss_D_fake 0.007649
[1042/5000][335/535][107453] Loss_D: -0.021832 Loss_G: -0.008237 Loss_D_real: -0.013477 Loss_D_fake 0.008355
[1042/5000][340/535][107454] Loss_D: -0.022499 Loss_G: 0.025306 Loss_D_real: -0.027982 Loss_D_fake -0.005483
[1042/5000][345/535][107455] Loss_D: -0.023776 Loss_G: 0.006535 Loss_D_real: -0.015564 Loss_D_fake 0.008212
[1042/5000][350/535][107456] Loss_D: -0.022773 Loss_G: -0.001224 Loss_D_real: -0.019131 Loss_D_fake 0.003642
[1042/5000][355/535][107457] Loss_D: -0.022159 Loss_G: 0.019643 Loss_D_real: -0.021381 Loss_D_fake 0.000778
[1042/5000][360/535][107458] Loss_D: -0.021565 Loss_G: 0.019542 Loss_D_real: -0.027093 Loss_D_fake -0.005528
[1042/5000][365/535][107459] Loss_D: -0.021350 Loss_G: 0.016624 Loss_D_real: -0.037595 Loss_D_fake -0.016245
[1042/5000][370/535][107460] Loss_D: -0.022849 Loss_G: 0.013167 Loss_D_real: -0.038236 Loss_D_fake -0.015387
[1042/5000][375/535][107461] Loss_D: -0.022351 Loss_G: -0.015771 Loss_D_real: 0.005614 Loss_D_fake 0.027965
[1042/5000][380/535][107462] Loss_D: -0.022162 Loss_G: 0.007461 Loss_D_real: -0.004550 Loss_D_fake 0.017612
[1042/5000][385/535][107463] Loss_D: -0.021862 Loss_G: 0.023050 Loss_D_real: -0.030515 Loss_D_fake -0.008654
[1042/5000][390/535][107464] Loss_D: -0.024215 Loss_G: 0.002485 Loss_D_real: -0.018981 Loss_D_fake 0.005234
[1042/5000][395/535][107465] Loss_D: -0.021749 Loss_G: -0.018583 Loss_D_real: -0.017273 Loss_D_fake 0.004476
[1042/5000][400/535][107466] Loss_D: -0.023299 Loss_G: 0.012822 Loss_D_real: -0.013265 Loss_D_fake 0.010034
[1042/5000][405/535][107467] Loss_D: -0.021308 Loss_G: -0.013199 Loss_D_real: 0.003822 Loss_D_fake 0.025130
[1042/5000][410/535][107468] Loss_D: -0.020693 Loss_G: 0.026112 Loss_D_real: -0.027581 Loss_D_fake -0.006887
[1042/5000][415/535][107469] Loss_D: -0.021644 Loss_G: -0.005955 Loss_D_real: -0.018468 Loss_D_fake 0.003176
[1042/5000][420/535][107470] Loss_D: -0.022480 Loss_G: 0.007190 Loss_D_real: -0.022491 Loss_D_fake -0.000011
[1042/5000][425/535][107471] Loss_D: -0.021582 Loss_G: 0.015153 Loss_D_real: -0.020525 Loss_D_fake 0.001057
[1042/5000][430/535][107472] Loss_D: -0.022410 Loss_G: 0.004148 Loss_D_real: -0.022994 Loss_D_fake -0.000583
[1042/5000][435/535][107473] Loss_D: -0.023268 Loss_G: 0.002923 Loss_D_real: 0.001623 Loss_D_fake 0.024890
[1042/5000][440/535][107474] Loss_D: -0.022030 Loss_G: 0.008306 Loss_D_real: -0.021296 Loss_D_fake 0.000734
[1042/5000][445/535][107475] Loss_D: -0.022299 Loss_G: -0.011675 Loss_D_real: -0.012749 Loss_D_fake 0.009550
[1042/5000][450/535][107476] Loss_D: -0.022327 Loss_G: 0.014199 Loss_D_real: -0.015388 Loss_D_fake 0.006939
[1042/5000][455/535][107477] Loss_D: -0.020914 Loss_G: 0.029529 Loss_D_real: -0.028522 Loss_D_fake -0.007609
[1042/5000][460/535][107478] Loss_D: -0.021619 Loss_G: 0.021157 Loss_D_real: -0.017774 Loss_D_fake 0.003845
[1042/5000][465/535][107479] Loss_D: -0.022130 Loss_G: 0.018578 Loss_D_real: -0.031978 Loss_D_fake -0.009848
[1042/5000][470/535][107480] Loss_D: -0.021392 Loss_G: -0.025366 Loss_D_real: -0.002803 Loss_D_fake 0.018588
[1042/5000][475/535][107481] Loss_D: -0.022434 Loss_G: 0.016577 Loss_D_real: -0.025099 Loss_D_fake -0.002665
[1042/5000][480/535][107482] Loss_D: -0.022436 Loss_G: -0.002481 Loss_D_real: -0.011300 Loss_D_fake 0.011136
[1042/5000][485/535][107483] Loss_D: -0.022188 Loss_G: 0.017263 Loss_D_real: -0.033774 Loss_D_fake -0.011586
[1042/5000][490/535][107484] Loss_D: -0.021657 Loss_G: 0.028642 Loss_D_real: -0.033796 Loss_D_fake -0.012139
[1042/5000][495/535][107485] Loss_D: -0.021257 Loss_G: -0.015009 Loss_D_real: -0.003849 Loss_D_fake 0.017408
[1042/5000][500/535][107486] Loss_D: -0.021770 Loss_G: 0.011407 Loss_D_real: -0.025672 Loss_D_fake -0.003901
[1042/5000][505/535][107487] Loss_D: -0.022285 Loss_G: 0.027938 Loss_D_real: -0.032029 Loss_D_fake -0.009743
[1042/5000][510/535][107488] Loss_D: -0.022399 Loss_G: -0.003136 Loss_D_real: -0.000538 Loss_D_fake 0.021861
[1042/5000][515/535][107489] Loss_D: -0.022258 Loss_G: -0.006049 Loss_D_real: -0.017871 Loss_D_fake 0.004387
[1042/5000][520/535][107490] Loss_D: -0.023175 Loss_G: 0.019843 Loss_D_real: -0.025240 Loss_D_fake -0.002065
[1042/5000][525/535][107491] Loss_D: -0.023020 Loss_G: 0.005280 Loss_D_real: -0.015305 Loss_D_fake 0.007715
[1042/5000][530/535][107492] Loss_D: -0.020608 Loss_G: 0.014442 Loss_D_real: -0.020939 Loss_D_fake -0.000331
[1042/5000][535/535][107493] Loss_D: -0.022411 Loss_G: -0.026795 Loss_D_real: -0.012955 Loss_D_fake 0.009456
[1043/5000][5/535][107494] Loss_D: -0.020226 Loss_G: 0.009610 Loss_D_real: -0.019767 Loss_D_fake 0.000459
[1043/5000][10/535][107495] Loss_D: -0.020079 Loss_G: 0.015635 Loss_D_real: -0.028664 Loss_D_fake -0.008585
[1043/5000][15/535][107496] Loss_D: -0.022461 Loss_G: -0.016090 Loss_D_real: -0.002195 Loss_D_fake 0.020267
[1043/5000][20/535][107497] Loss_D: -0.022227 Loss_G: -0.000560 Loss_D_real: -0.022387 Loss_D_fake -0.000160
[1043/5000][25/535][107498] Loss_D: -0.022322 Loss_G: 0.029526 Loss_D_real: -0.022320 Loss_D_fake 0.000001
[1043/5000][30/535][107499] Loss_D: -0.022368 Loss_G: 0.012845 Loss_D_real: -0.019385 Loss_D_fake 0.002983
[1043/5000][35/535][107500] Loss_D: -0.022085 Loss_G: 0.013245 Loss_D_real: -0.020192 Loss_D_fake 0.001892
[1043/5000][135/535][107501] Loss_D: -0.025440 Loss_G: 0.017330 Loss_D_real: -0.022936 Loss_D_fake 0.002504
[1043/5000][140/535][107502] Loss_D: -0.022005 Loss_G: 0.008016 Loss_D_real: -0.015954 Loss_D_fake 0.006051
[1043/5000][145/535][107503] Loss_D: -0.020430 Loss_G: 0.002152 Loss_D_real: -0.007532 Loss_D_fake 0.012898
[1043/5000][150/535][107504] Loss_D: -0.021010 Loss_G: 0.015412 Loss_D_real: -0.025004 Loss_D_fake -0.003995
[1043/5000][155/535][107505] Loss_D: -0.020736 Loss_G: 0.016055 Loss_D_real: -0.018767 Loss_D_fake 0.001969
[1043/5000][160/535][107506] Loss_D: -0.020552 Loss_G: 0.008147 Loss_D_real: -0.030837 Loss_D_fake -0.010285
[1043/5000][165/535][107507] Loss_D: -0.021108 Loss_G: -0.004702 Loss_D_real: -0.010399 Loss_D_fake 0.010709
[1043/5000][170/535][107508] Loss_D: -0.021215 Loss_G: 0.008446 Loss_D_real: -0.016090 Loss_D_fake 0.005125
[1043/5000][175/535][107509] Loss_D: -0.021077 Loss_G: 0.029883 Loss_D_real: -0.030160 Loss_D_fake -0.009084
[1043/5000][180/535][107510] Loss_D: -0.021864 Loss_G: -0.006701 Loss_D_real: -0.007348 Loss_D_fake 0.014516
[1043/5000][185/535][107511] Loss_D: -0.021615 Loss_G: 0.002240 Loss_D_real: -0.017353 Loss_D_fake 0.004263
[1043/5000][190/535][107512] Loss_D: -0.020962 Loss_G: 0.010868 Loss_D_real: -0.014293 Loss_D_fake 0.006669
[1043/5000][195/535][107513] Loss_D: -0.022293 Loss_G: 0.000637 Loss_D_real: -0.018446 Loss_D_fake 0.003848
[1043/5000][200/535][107514] Loss_D: -0.022350 Loss_G: 0.004517 Loss_D_real: -0.030860 Loss_D_fake -0.008510
[1043/5000][205/535][107515] Loss_D: -0.021716 Loss_G: -0.005588 Loss_D_real: -0.016303 Loss_D_fake 0.005413
[1043/5000][210/535][107516] Loss_D: -0.022954 Loss_G: 0.009875 Loss_D_real: -0.018943 Loss_D_fake 0.004011
[1043/5000][215/535][107517] Loss_D: -0.022818 Loss_G: 0.025587 Loss_D_real: -0.019223 Loss_D_fake 0.003595
[1043/5000][220/535][107518] Loss_D: -0.021193 Loss_G: -0.015432 Loss_D_real: -0.001885 Loss_D_fake 0.019308
[1043/5000][225/535][107519] Loss_D: -0.021295 Loss_G: 0.002629 Loss_D_real: -0.000876 Loss_D_fake 0.020420
[1043/5000][230/535][107520] Loss_D: -0.022780 Loss_G: 0.010060 Loss_D_real: -0.019038 Loss_D_fake 0.003742
[1043/5000][235/535][107521] Loss_D: -0.021919 Loss_G: 0.017695 Loss_D_real: -0.025799 Loss_D_fake -0.003880
[1043/5000][240/535][107522] Loss_D: -0.023047 Loss_G: 0.009042 Loss_D_real: -0.016783 Loss_D_fake 0.006264
[1043/5000][245/535][107523] Loss_D: -0.021449 Loss_G: 0.020992 Loss_D_real: -0.040885 Loss_D_fake -0.019435
[1043/5000][250/535][107524] Loss_D: -0.022229 Loss_G: 0.002920 Loss_D_real: -0.016921 Loss_D_fake 0.005309
[1043/5000][255/535][107525] Loss_D: -0.021633 Loss_G: 0.019004 Loss_D_real: -0.038509 Loss_D_fake -0.016876
[1043/5000][260/535][107526] Loss_D: -0.022862 Loss_G: 0.004814 Loss_D_real: -0.011855 Loss_D_fake 0.011007
[1043/5000][265/535][107527] Loss_D: -0.022773 Loss_G: 0.000189 Loss_D_real: -0.021873 Loss_D_fake 0.000900
[1043/5000][270/535][107528] Loss_D: -0.023211 Loss_G: 0.003461 Loss_D_real: -0.019498 Loss_D_fake 0.003713
[1043/5000][275/535][107529] Loss_D: -0.022255 Loss_G: -0.010113 Loss_D_real: -0.011077 Loss_D_fake 0.011178
[1043/5000][280/535][107530] Loss_D: -0.021512 Loss_G: 0.009758 Loss_D_real: -0.020996 Loss_D_fake 0.000516
[1043/5000][285/535][107531] Loss_D: -0.021508 Loss_G: -0.006978 Loss_D_real: 0.000754 Loss_D_fake 0.022262
[1043/5000][290/535][107532] Loss_D: -0.022160 Loss_G: 0.009823 Loss_D_real: -0.023692 Loss_D_fake -0.001532
[1043/5000][295/535][107533] Loss_D: -0.022745 Loss_G: 0.000732 Loss_D_real: -0.012013 Loss_D_fake 0.010732
[1043/5000][300/535][107534] Loss_D: -0.021664 Loss_G: -0.009073 Loss_D_real: -0.000820 Loss_D_fake 0.020844
[1043/5000][305/535][107535] Loss_D: -0.021678 Loss_G: -0.016687 Loss_D_real: -0.010823 Loss_D_fake 0.010855
[1043/5000][310/535][107536] Loss_D: -0.022261 Loss_G: 0.024467 Loss_D_real: -0.023009 Loss_D_fake -0.000747
[1043/5000][315/535][107537] Loss_D: -0.021745 Loss_G: -0.011034 Loss_D_real: 0.003636 Loss_D_fake 0.025382
[1043/5000][320/535][107538] Loss_D: -0.023139 Loss_G: 0.014842 Loss_D_real: -0.024100 Loss_D_fake -0.000961
[1043/5000][325/535][107539] Loss_D: -0.023815 Loss_G: 0.019808 Loss_D_real: -0.017157 Loss_D_fake 0.006658
[1043/5000][330/535][107540] Loss_D: -0.022819 Loss_G: 0.004235 Loss_D_real: -0.007861 Loss_D_fake 0.014958
[1043/5000][335/535][107541] Loss_D: -0.023115 Loss_G: -0.005334 Loss_D_real: -0.023273 Loss_D_fake -0.000158
[1043/5000][340/535][107542] Loss_D: -0.021993 Loss_G: 0.006740 Loss_D_real: -0.016171 Loss_D_fake 0.005822
[1043/5000][345/535][107543] Loss_D: -0.023164 Loss_G: 0.022259 Loss_D_real: -0.019652 Loss_D_fake 0.003512
[1043/5000][350/535][107544] Loss_D: -0.022333 Loss_G: -0.003187 Loss_D_real: -0.007734 Loss_D_fake 0.014599
[1043/5000][355/535][107545] Loss_D: -0.022115 Loss_G: 0.010170 Loss_D_real: -0.011920 Loss_D_fake 0.010195
[1043/5000][360/535][107546] Loss_D: -0.022197 Loss_G: 0.009166 Loss_D_real: -0.015615 Loss_D_fake 0.006582
[1043/5000][365/535][107547] Loss_D: -0.021707 Loss_G: 0.003466 Loss_D_real: -0.019772 Loss_D_fake 0.001935
[1043/5000][370/535][107548] Loss_D: -0.022553 Loss_G: 0.000591 Loss_D_real: -0.018232 Loss_D_fake 0.004321
[1043/5000][375/535][107549] Loss_D: -0.022274 Loss_G: 0.018473 Loss_D_real: -0.023047 Loss_D_fake -0.000773
[1043/5000][380/535][107550] Loss_D: -0.022624 Loss_G: 0.006560 Loss_D_real: -0.024163 Loss_D_fake -0.001539
[1043/5000][385/535][107551] Loss_D: -0.022422 Loss_G: 0.007291 Loss_D_real: -0.013312 Loss_D_fake 0.009110
[1043/5000][390/535][107552] Loss_D: -0.022849 Loss_G: -0.002643 Loss_D_real: -0.009041 Loss_D_fake 0.013807
[1043/5000][395/535][107553] Loss_D: -0.023355 Loss_G: 0.027921 Loss_D_real: -0.015991 Loss_D_fake 0.007365
[1043/5000][400/535][107554] Loss_D: -0.022270 Loss_G: 0.000280 Loss_D_real: -0.013127 Loss_D_fake 0.009143
[1043/5000][405/535][107555] Loss_D: -0.021661 Loss_G: -0.010192 Loss_D_real: -0.012662 Loss_D_fake 0.008999
[1043/5000][410/535][107556] Loss_D: -0.021821 Loss_G: -0.008995 Loss_D_real: -0.007319 Loss_D_fake 0.014503
[1043/5000][415/535][107557] Loss_D: -0.022065 Loss_G: 0.017810 Loss_D_real: -0.028772 Loss_D_fake -0.006708
[1043/5000][420/535][107558] Loss_D: -0.022224 Loss_G: -0.005785 Loss_D_real: 0.000781 Loss_D_fake 0.023005
[1043/5000][425/535][107559] Loss_D: -0.020362 Loss_G: 0.027217 Loss_D_real: -0.027301 Loss_D_fake -0.006939
[1043/5000][430/535][107560] Loss_D: -0.018877 Loss_G: 0.021040 Loss_D_real: -0.021116 Loss_D_fake -0.002239
[1043/5000][435/535][107561] Loss_D: -0.021336 Loss_G: 0.013262 Loss_D_real: -0.015909 Loss_D_fake 0.005427
[1043/5000][440/535][107562] Loss_D: -0.022331 Loss_G: 0.003251 Loss_D_real: -0.016829 Loss_D_fake 0.005502
[1043/5000][445/535][107563] Loss_D: -0.021867 Loss_G: 0.000513 Loss_D_real: -0.016850 Loss_D_fake 0.005017
[1043/5000][450/535][107564] Loss_D: -0.020077 Loss_G: -0.014503 Loss_D_real: -0.001603 Loss_D_fake 0.018473
[1043/5000][455/535][107565] Loss_D: -0.020920 Loss_G: 0.020419 Loss_D_real: -0.022789 Loss_D_fake -0.001868
[1043/5000][460/535][107566] Loss_D: -0.022416 Loss_G: 0.007813 Loss_D_real: -0.018660 Loss_D_fake 0.003757
[1043/5000][465/535][107567] Loss_D: -0.022717 Loss_G: 0.012822 Loss_D_real: -0.026828 Loss_D_fake -0.004112
[1043/5000][470/535][107568] Loss_D: -0.023121 Loss_G: 0.026853 Loss_D_real: -0.031345 Loss_D_fake -0.008224
[1043/5000][475/535][107569] Loss_D: -0.023120 Loss_G: 0.015648 Loss_D_real: -0.030487 Loss_D_fake -0.007367
[1043/5000][480/535][107570] Loss_D: -0.021177 Loss_G: 0.032806 Loss_D_real: -0.033004 Loss_D_fake -0.011827
[1043/5000][485/535][107571] Loss_D: -0.023060 Loss_G: -0.004906 Loss_D_real: -0.006629 Loss_D_fake 0.016431
[1043/5000][490/535][107572] Loss_D: -0.021032 Loss_G: 0.006467 Loss_D_real: -0.021173 Loss_D_fake -0.000141
[1043/5000][495/535][107573] Loss_D: -0.021661 Loss_G: 0.013462 Loss_D_real: -0.031773 Loss_D_fake -0.010112
[1043/5000][500/535][107574] Loss_D: -0.022090 Loss_G: 0.006700 Loss_D_real: -0.027416 Loss_D_fake -0.005326
[1043/5000][505/535][107575] Loss_D: -0.021617 Loss_G: 0.004829 Loss_D_real: -0.025179 Loss_D_fake -0.003562
[1043/5000][510/535][107576] Loss_D: -0.023676 Loss_G: -0.002573 Loss_D_real: -0.014301 Loss_D_fake 0.009375
[1043/5000][515/535][107577] Loss_D: -0.021854 Loss_G: 0.018615 Loss_D_real: -0.016478 Loss_D_fake 0.005376
[1043/5000][520/535][107578] Loss_D: -0.022500 Loss_G: 0.012691 Loss_D_real: -0.022827 Loss_D_fake -0.000327
[1043/5000][525/535][107579] Loss_D: -0.023480 Loss_G: -0.008620 Loss_D_real: -0.010481 Loss_D_fake 0.012999
[1043/5000][530/535][107580] Loss_D: -0.022581 Loss_G: -0.011858 Loss_D_real: -0.004369 Loss_D_fake 0.018212
[1043/5000][535/535][107581] Loss_D: -0.023408 Loss_G: -0.003178 Loss_D_real: -0.011615 Loss_D_fake 0.011793
[1044/5000][5/535][107582] Loss_D: -0.022832 Loss_G: 0.016355 Loss_D_real: -0.015104 Loss_D_fake 0.007728
[1044/5000][10/535][107583] Loss_D: -0.021701 Loss_G: 0.020384 Loss_D_real: -0.024718 Loss_D_fake -0.003017
[1044/5000][15/535][107584] Loss_D: -0.022640 Loss_G: 0.002860 Loss_D_real: -0.012007 Loss_D_fake 0.010633
[1044/5000][20/535][107585] Loss_D: -0.022702 Loss_G: 0.016292 Loss_D_real: -0.027245 Loss_D_fake -0.004542
[1044/5000][25/535][107586] Loss_D: -0.023037 Loss_G: 0.000276 Loss_D_real: -0.023000 Loss_D_fake 0.000037
[1044/5000][30/535][107587] Loss_D: -0.023231 Loss_G: 0.023283 Loss_D_real: -0.020287 Loss_D_fake 0.002945
[1044/5000][35/535][107588] Loss_D: -0.022917 Loss_G: 0.003111 Loss_D_real: -0.016659 Loss_D_fake 0.006258
[1044/5000][40/535][107589] Loss_D: -0.022621 Loss_G: 0.008376 Loss_D_real: -0.022260 Loss_D_fake 0.000361
[1044/5000][45/535][107590] Loss_D: -0.020563 Loss_G: 0.001723 Loss_D_real: -0.025914 Loss_D_fake -0.005351
[1044/5000][50/535][107591] Loss_D: -0.023270 Loss_G: 0.015003 Loss_D_real: -0.027958 Loss_D_fake -0.004687
[1044/5000][55/535][107592] Loss_D: -0.023481 Loss_G: 0.025541 Loss_D_real: -0.032302 Loss_D_fake -0.008822
[1044/5000][60/535][107593] Loss_D: -0.022349 Loss_G: 0.021896 Loss_D_real: -0.027582 Loss_D_fake -0.005233
[1044/5000][65/535][107594] Loss_D: -0.021258 Loss_G: -0.010517 Loss_D_real: -0.007731 Loss_D_fake 0.013527
[1044/5000][70/535][107595] Loss_D: -0.023195 Loss_G: -0.003260 Loss_D_real: -0.016031 Loss_D_fake 0.007164
[1044/5000][75/535][107596] Loss_D: -0.020473 Loss_G: 0.022525 Loss_D_real: -0.038954 Loss_D_fake -0.018481
[1044/5000][80/535][107597] Loss_D: -0.022704 Loss_G: 0.017474 Loss_D_real: -0.023728 Loss_D_fake -0.001023
[1044/5000][85/535][107598] Loss_D: -0.023589 Loss_G: -0.001012 Loss_D_real: -0.014512 Loss_D_fake 0.009077
[1044/5000][90/535][107599] Loss_D: -0.022717 Loss_G: 0.004628 Loss_D_real: -0.009357 Loss_D_fake 0.013360
[1044/5000][95/535][107600] Loss_D: -0.022490 Loss_G: 0.010541 Loss_D_real: -0.018729 Loss_D_fake 0.003761
[1044/5000][100/535][107601] Loss_D: -0.023293 Loss_G: 0.012638 Loss_D_real: -0.034353 Loss_D_fake -0.011060
[1044/5000][105/535][107602] Loss_D: -0.023238 Loss_G: 0.015688 Loss_D_real: -0.024755 Loss_D_fake -0.001517
[1044/5000][110/535][107603] Loss_D: -0.021965 Loss_G: 0.031560 Loss_D_real: -0.030185 Loss_D_fake -0.008220
[1044/5000][115/535][107604] Loss_D: -0.021776 Loss_G: 0.001297 Loss_D_real: -0.016709 Loss_D_fake 0.005067
[1044/5000][120/535][107605] Loss_D: -0.021481 Loss_G: 0.014453 Loss_D_real: -0.021066 Loss_D_fake 0.000415
[1044/5000][125/535][107606] Loss_D: -0.022187 Loss_G: -0.007848 Loss_D_real: -0.015798 Loss_D_fake 0.006390
[1044/5000][130/535][107607] Loss_D: -0.020418 Loss_G: -0.009581 Loss_D_real: -0.005997 Loss_D_fake 0.014420
[1044/5000][135/535][107608] Loss_D: -0.021903 Loss_G: 0.002177 Loss_D_real: -0.021478 Loss_D_fake 0.000425
[1044/5000][140/535][107609] Loss_D: -0.021284 Loss_G: 0.003505 Loss_D_real: -0.008557 Loss_D_fake 0.012727
[1044/5000][145/535][107610] Loss_D: -0.020288 Loss_G: 0.017613 Loss_D_real: -0.028457 Loss_D_fake -0.008169
[1044/5000][150/535][107611] Loss_D: -0.022329 Loss_G: 0.021736 Loss_D_real: -0.023724 Loss_D_fake -0.001395
[1044/5000][155/535][107612] Loss_D: -0.021642 Loss_G: 0.009064 Loss_D_real: -0.020184 Loss_D_fake 0.001458
[1044/5000][160/535][107613] Loss_D: -0.023609 Loss_G: -0.009980 Loss_D_real: -0.006461 Loss_D_fake 0.017148
[1044/5000][165/535][107614] Loss_D: -0.021833 Loss_G: 0.001177 Loss_D_real: -0.017176 Loss_D_fake 0.004657
[1044/5000][170/535][107615] Loss_D: -0.022230 Loss_G: -0.017843 Loss_D_real: -0.003984 Loss_D_fake 0.018246
[1044/5000][175/535][107616] Loss_D: -0.022766 Loss_G: 0.001613 Loss_D_real: -0.006965 Loss_D_fake 0.015801
[1044/5000][180/535][107617] Loss_D: -0.021434 Loss_G: 0.004589 Loss_D_real: -0.019506 Loss_D_fake 0.001929
[1044/5000][185/535][107618] Loss_D: -0.022268 Loss_G: 0.016767 Loss_D_real: -0.017698 Loss_D_fake 0.004571
[1044/5000][190/535][107619] Loss_D: -0.022221 Loss_G: 0.005751 Loss_D_real: -0.010631 Loss_D_fake 0.011590
[1044/5000][195/535][107620] Loss_D: -0.022001 Loss_G: 0.014265 Loss_D_real: -0.032218 Loss_D_fake -0.010217
[1044/5000][200/535][107621] Loss_D: -0.022806 Loss_G: -0.003559 Loss_D_real: -0.011072 Loss_D_fake 0.011734
[1044/5000][205/535][107622] Loss_D: -0.022303 Loss_G: -0.004528 Loss_D_real: -0.012223 Loss_D_fake 0.010080
[1044/5000][210/535][107623] Loss_D: -0.023076 Loss_G: 0.001132 Loss_D_real: -0.002513 Loss_D_fake 0.020563
[1044/5000][215/535][107624] Loss_D: -0.023531 Loss_G: 0.015859 Loss_D_real: -0.019406 Loss_D_fake 0.004125
[1044/5000][220/535][107625] Loss_D: -0.021937 Loss_G: 0.021911 Loss_D_real: -0.027296 Loss_D_fake -0.005359
[1044/5000][225/535][107626] Loss_D: -0.021492 Loss_G: 0.009670 Loss_D_real: -0.018322 Loss_D_fake 0.003170
[1044/5000][230/535][107627] Loss_D: -0.021606 Loss_G: 0.004871 Loss_D_real: -0.029200 Loss_D_fake -0.007594
[1044/5000][235/535][107628] Loss_D: -0.022533 Loss_G: -0.001912 Loss_D_real: -0.020200 Loss_D_fake 0.002333
[1044/5000][240/535][107629] Loss_D: -0.022629 Loss_G: 0.015200 Loss_D_real: -0.040306 Loss_D_fake -0.017677
[1044/5000][245/535][107630] Loss_D: -0.022156 Loss_G: 0.026861 Loss_D_real: -0.033816 Loss_D_fake -0.011660
[1044/5000][250/535][107631] Loss_D: -0.023752 Loss_G: 0.011063 Loss_D_real: -0.019580 Loss_D_fake 0.004172
[1044/5000][255/535][107632] Loss_D: -0.021735 Loss_G: -0.022004 Loss_D_real: -0.008193 Loss_D_fake 0.013542
[1044/5000][260/535][107633] Loss_D: -0.022915 Loss_G: -0.002829 Loss_D_real: -0.021911 Loss_D_fake 0.001004
[1044/5000][265/535][107634] Loss_D: -0.020287 Loss_G: 0.033555 Loss_D_real: -0.039984 Loss_D_fake -0.019697
[1044/5000][270/535][107635] Loss_D: -0.021457 Loss_G: 0.027172 Loss_D_real: -0.025643 Loss_D_fake -0.004186
[1044/5000][275/535][107636] Loss_D: -0.022326 Loss_G: 0.003457 Loss_D_real: -0.017722 Loss_D_fake 0.004605
[1044/5000][280/535][107637] Loss_D: -0.022407 Loss_G: 0.018255 Loss_D_real: -0.030779 Loss_D_fake -0.008371
[1044/5000][285/535][107638] Loss_D: -0.022120 Loss_G: 0.009791 Loss_D_real: -0.010286 Loss_D_fake 0.011834
[1044/5000][290/535][107639] Loss_D: -0.021948 Loss_G: -0.004931 Loss_D_real: -0.011349 Loss_D_fake 0.010599
[1044/5000][295/535][107640] Loss_D: -0.022716 Loss_G: 0.002897 Loss_D_real: -0.013904 Loss_D_fake 0.008811
[1044/5000][300/535][107641] Loss_D: -0.022252 Loss_G: 0.022731 Loss_D_real: -0.022233 Loss_D_fake 0.000019
[1044/5000][305/535][107642] Loss_D: -0.022396 Loss_G: 0.026746 Loss_D_real: -0.020283 Loss_D_fake 0.002114
[1044/5000][310/535][107643] Loss_D: -0.023242 Loss_G: -0.010370 Loss_D_real: -0.016382 Loss_D_fake 0.006860
[1044/5000][315/535][107644] Loss_D: -0.021649 Loss_G: 0.016523 Loss_D_real: -0.025434 Loss_D_fake -0.003785
[1044/5000][320/535][107645] Loss_D: -0.022980 Loss_G: 0.013086 Loss_D_real: -0.026959 Loss_D_fake -0.003979
[1044/5000][325/535][107646] Loss_D: -0.023371 Loss_G: 0.029351 Loss_D_real: -0.024226 Loss_D_fake -0.000855
[1044/5000][330/535][107647] Loss_D: -0.022311 Loss_G: 0.022262 Loss_D_real: -0.031027 Loss_D_fake -0.008717
[1044/5000][335/535][107648] Loss_D: -0.023479 Loss_G: 0.024458 Loss_D_real: -0.037301 Loss_D_fake -0.013823
[1044/5000][340/535][107649] Loss_D: -0.021845 Loss_G: -0.015857 Loss_D_real: 0.002379 Loss_D_fake 0.024224
[1044/5000][345/535][107650] Loss_D: -0.021695 Loss_G: 0.010616 Loss_D_real: -0.022990 Loss_D_fake -0.001295
[1044/5000][350/535][107651] Loss_D: -0.021626 Loss_G: 0.018465 Loss_D_real: -0.023311 Loss_D_fake -0.001685
[1044/5000][355/535][107652] Loss_D: -0.022425 Loss_G: 0.024107 Loss_D_real: -0.022704 Loss_D_fake -0.000279
[1044/5000][360/535][107653] Loss_D: -0.022161 Loss_G: -0.008990 Loss_D_real: -0.018578 Loss_D_fake 0.003583
[1044/5000][365/535][107654] Loss_D: -0.024561 Loss_G: 0.007655 Loss_D_real: -0.026530 Loss_D_fake -0.001969
[1044/5000][370/535][107655] Loss_D: -0.023507 Loss_G: 0.012845 Loss_D_real: -0.026407 Loss_D_fake -0.002900
[1044/5000][375/535][107656] Loss_D: -0.021428 Loss_G: 0.010565 Loss_D_real: -0.025114 Loss_D_fake -0.003686
[1044/5000][380/535][107657] Loss_D: -0.022771 Loss_G: 0.015911 Loss_D_real: -0.024215 Loss_D_fake -0.001444
[1044/5000][385/535][107658] Loss_D: -0.023607 Loss_G: -0.000978 Loss_D_real: -0.009905 Loss_D_fake 0.013702
[1044/5000][390/535][107659] Loss_D: -0.022165 Loss_G: 0.021131 Loss_D_real: -0.032640 Loss_D_fake -0.010475
[1044/5000][395/535][107660] Loss_D: -0.023310 Loss_G: 0.024307 Loss_D_real: -0.023081 Loss_D_fake 0.000229
[1044/5000][400/535][107661] Loss_D: -0.020717 Loss_G: 0.024304 Loss_D_real: -0.033000 Loss_D_fake -0.012282
[1044/5000][405/535][107662] Loss_D: -0.022589 Loss_G: 0.004837 Loss_D_real: -0.009562 Loss_D_fake 0.013027
[1044/5000][410/535][107663] Loss_D: -0.022401 Loss_G: -0.006489 Loss_D_real: -0.011931 Loss_D_fake 0.010471
[1044/5000][415/535][107664] Loss_D: -0.020491 Loss_G: 0.025713 Loss_D_real: -0.029177 Loss_D_fake -0.008686
[1044/5000][420/535][107665] Loss_D: -0.022012 Loss_G: 0.009639 Loss_D_real: -0.022885 Loss_D_fake -0.000874
[1044/5000][425/535][107666] Loss_D: -0.022633 Loss_G: -0.011048 Loss_D_real: -0.008494 Loss_D_fake 0.014140
[1044/5000][430/535][107667] Loss_D: -0.022128 Loss_G: 0.014071 Loss_D_real: -0.016025 Loss_D_fake 0.006103
[1044/5000][435/535][107668] Loss_D: -0.022421 Loss_G: 0.011950 Loss_D_real: -0.020667 Loss_D_fake 0.001754
[1044/5000][440/535][107669] Loss_D: -0.021750 Loss_G: 0.023028 Loss_D_real: -0.016615 Loss_D_fake 0.005136
[1044/5000][445/535][107670] Loss_D: -0.021904 Loss_G: 0.007826 Loss_D_real: -0.021550 Loss_D_fake 0.000354
[1044/5000][450/535][107671] Loss_D: -0.021836 Loss_G: 0.011365 Loss_D_real: -0.025326 Loss_D_fake -0.003490
[1044/5000][455/535][107672] Loss_D: -0.023164 Loss_G: -0.005253 Loss_D_real: -0.016938 Loss_D_fake 0.006226
[1044/5000][460/535][107673] Loss_D: -0.021456 Loss_G: -0.007231 Loss_D_real: -0.006789 Loss_D_fake 0.014667
[1044/5000][465/535][107674] Loss_D: -0.023305 Loss_G: 0.019621 Loss_D_real: -0.024589 Loss_D_fake -0.001284
[1044/5000][470/535][107675] Loss_D: -0.021358 Loss_G: 0.004915 Loss_D_real: -0.019905 Loss_D_fake 0.001453
[1044/5000][475/535][107676] Loss_D: -0.021569 Loss_G: 0.004638 Loss_D_real: -0.026205 Loss_D_fake -0.004636
[1044/5000][480/535][107677] Loss_D: -0.022946 Loss_G: 0.017204 Loss_D_real: -0.026392 Loss_D_fake -0.003445
[1044/5000][485/535][107678] Loss_D: -0.021144 Loss_G: 0.011233 Loss_D_real: -0.017194 Loss_D_fake 0.003950
[1044/5000][490/535][107679] Loss_D: -0.021008 Loss_G: 0.008884 Loss_D_real: -0.021510 Loss_D_fake -0.000502
[1044/5000][495/535][107680] Loss_D: -0.022545 Loss_G: 0.003628 Loss_D_real: -0.011343 Loss_D_fake 0.011202
[1044/5000][500/535][107681] Loss_D: -0.020769 Loss_G: -0.018035 Loss_D_real: -0.000041 Loss_D_fake 0.020728
[1044/5000][505/535][107682] Loss_D: -0.021244 Loss_G: 0.004771 Loss_D_real: -0.008539 Loss_D_fake 0.012705
[1044/5000][510/535][107683] Loss_D: -0.022236 Loss_G: 0.007966 Loss_D_real: -0.012730 Loss_D_fake 0.009506
[1044/5000][515/535][107684] Loss_D: -0.022745 Loss_G: 0.017515 Loss_D_real: -0.020416 Loss_D_fake 0.002329
[1044/5000][520/535][107685] Loss_D: -0.022750 Loss_G: -0.005299 Loss_D_real: -0.015642 Loss_D_fake 0.007108
[1044/5000][525/535][107686] Loss_D: -0.023456 Loss_G: 0.008229 Loss_D_real: -0.024332 Loss_D_fake -0.000876
[1044/5000][530/535][107687] Loss_D: -0.024228 Loss_G: 0.001573 Loss_D_real: -0.005285 Loss_D_fake 0.018943
[1044/5000][535/535][107688] Loss_D: -0.018525 Loss_G: 0.002991 Loss_D_real: -0.019085 Loss_D_fake -0.000559
[1045/5000][5/535][107689] Loss_D: -0.021583 Loss_G: 0.018657 Loss_D_real: -0.028275 Loss_D_fake -0.006692
[1045/5000][10/535][107690] Loss_D: -0.021060 Loss_G: 0.027076 Loss_D_real: -0.029139 Loss_D_fake -0.008079
[1045/5000][15/535][107691] Loss_D: -0.022881 Loss_G: -0.006877 Loss_D_real: -0.024021 Loss_D_fake -0.001140
[1045/5000][20/535][107692] Loss_D: -0.022679 Loss_G: 0.002744 Loss_D_real: -0.006271 Loss_D_fake 0.016408
[1045/5000][25/535][107693] Loss_D: -0.022337 Loss_G: 0.014196 Loss_D_real: -0.017708 Loss_D_fake 0.004629
[1045/5000][30/535][107694] Loss_D: -0.022543 Loss_G: 0.021124 Loss_D_real: -0.024443 Loss_D_fake -0.001900
[1045/5000][35/535][107695] Loss_D: -0.023755 Loss_G: 0.009095 Loss_D_real: -0.032540 Loss_D_fake -0.008786
[1045/5000][40/535][107696] Loss_D: -0.023562 Loss_G: 0.007785 Loss_D_real: -0.016807 Loss_D_fake 0.006755
[1045/5000][45/535][107697] Loss_D: -0.023199 Loss_G: 0.020324 Loss_D_real: -0.029607 Loss_D_fake -0.006408
[1045/5000][50/535][107698] Loss_D: -0.020495 Loss_G: 0.031518 Loss_D_real: -0.038023 Loss_D_fake -0.017528
[1045/5000][55/535][107699] Loss_D: -0.021228 Loss_G: -0.014445 Loss_D_real: -0.003420 Loss_D_fake 0.017807
[1045/5000][60/535][107700] Loss_D: -0.021797 Loss_G: 0.009067 Loss_D_real: -0.027801 Loss_D_fake -0.006004
[1045/5000][65/535][107701] Loss_D: -0.021067 Loss_G: -0.003588 Loss_D_real: -0.009819 Loss_D_fake 0.011248
[1045/5000][70/535][107702] Loss_D: -0.020871 Loss_G: -0.011292 Loss_D_real: -0.005735 Loss_D_fake 0.015135
[1045/5000][75/535][107703] Loss_D: -0.022854 Loss_G: 0.006752 Loss_D_real: -0.008588 Loss_D_fake 0.014267
[1045/5000][80/535][107704] Loss_D: -0.020073 Loss_G: 0.030497 Loss_D_real: -0.035800 Loss_D_fake -0.015727
[1045/5000][85/535][107705] Loss_D: -0.021265 Loss_G: 0.020909 Loss_D_real: -0.016469 Loss_D_fake 0.004796
[1045/5000][90/535][107706] Loss_D: -0.022845 Loss_G: 0.009854 Loss_D_real: -0.018062 Loss_D_fake 0.004784
[1045/5000][95/535][107707] Loss_D: -0.021951 Loss_G: -0.015339 Loss_D_real: -0.007306 Loss_D_fake 0.014645
[1045/5000][100/535][107708] Loss_D: -0.021033 Loss_G: -0.000318 Loss_D_real: -0.016574 Loss_D_fake 0.004459
[1045/5000][105/535][107709] Loss_D: -0.021187 Loss_G: -0.022132 Loss_D_real: 0.009657 Loss_D_fake 0.030844
[1045/5000][110/535][107710] Loss_D: -0.021241 Loss_G: 0.015187 Loss_D_real: -0.025668 Loss_D_fake -0.004427
[1045/5000][115/535][107711] Loss_D: -0.022130 Loss_G: 0.019119 Loss_D_real: -0.018232 Loss_D_fake 0.003899
[1045/5000][120/535][107712] Loss_D: -0.021723 Loss_G: 0.000355 Loss_D_real: -0.024409 Loss_D_fake -0.002687
[1045/5000][125/535][107713] Loss_D: -0.021441 Loss_G: -0.006940 Loss_D_real: -0.015333 Loss_D_fake 0.006107
[1045/5000][130/535][107714] Loss_D: -0.021475 Loss_G: -0.004309 Loss_D_real: -0.018974 Loss_D_fake 0.002501
[1045/5000][135/535][107715] Loss_D: -0.021853 Loss_G: 0.026743 Loss_D_real: -0.030720 Loss_D_fake -0.008867
[1045/5000][140/535][107716] Loss_D: -0.021909 Loss_G: 0.012442 Loss_D_real: -0.011342 Loss_D_fake 0.010566
[1045/5000][145/535][107717] Loss_D: -0.022653 Loss_G: 0.014728 Loss_D_real: -0.018249 Loss_D_fake 0.004404
[1045/5000][150/535][107718] Loss_D: -0.022837 Loss_G: 0.015917 Loss_D_real: -0.014208 Loss_D_fake 0.008629
[1045/5000][155/535][107719] Loss_D: -0.022537 Loss_G: 0.013468 Loss_D_real: -0.031107 Loss_D_fake -0.008570
[1045/5000][160/535][107720] Loss_D: -0.022092 Loss_G: 0.013681 Loss_D_real: -0.018642 Loss_D_fake 0.003450
[1045/5000][165/535][107721] Loss_D: -0.022398 Loss_G: 0.016030 Loss_D_real: -0.016757 Loss_D_fake 0.005642
[1045/5000][170/535][107722] Loss_D: -0.021182 Loss_G: 0.013157 Loss_D_real: -0.016975 Loss_D_fake 0.004208
[1045/5000][175/535][107723] Loss_D: -0.021663 Loss_G: 0.003455 Loss_D_real: -0.016720 Loss_D_fake 0.004943
[1045/5000][180/535][107724] Loss_D: -0.022128 Loss_G: -0.002216 Loss_D_real: -0.014043 Loss_D_fake 0.008085
[1045/5000][185/535][107725] Loss_D: -0.021612 Loss_G: -0.018148 Loss_D_real: -0.007488 Loss_D_fake 0.014124
[1045/5000][190/535][107726] Loss_D: -0.022298 Loss_G: 0.017820 Loss_D_real: -0.018769 Loss_D_fake 0.003529
[1045/5000][195/535][107727] Loss_D: -0.023166 Loss_G: 0.010961 Loss_D_real: -0.021313 Loss_D_fake 0.001853
[1045/5000][200/535][107728] Loss_D: -0.021619 Loss_G: 0.021437 Loss_D_real: -0.030016 Loss_D_fake -0.008398
[1045/5000][205/535][107729] Loss_D: -0.022232 Loss_G: 0.021121 Loss_D_real: -0.040815 Loss_D_fake -0.018583
[1045/5000][210/535][107730] Loss_D: -0.024819 Loss_G: 0.007947 Loss_D_real: -0.018286 Loss_D_fake 0.006532
[1045/5000][215/535][107731] Loss_D: -0.023925 Loss_G: -0.003006 Loss_D_real: -0.019532 Loss_D_fake 0.004393
[1045/5000][220/535][107732] Loss_D: -0.023542 Loss_G: -0.001471 Loss_D_real: -0.013054 Loss_D_fake 0.010488
[1045/5000][225/535][107733] Loss_D: -0.021525 Loss_G: -0.011474 Loss_D_real: -0.000838 Loss_D_fake 0.020687
[1045/5000][230/535][107734] Loss_D: -0.023637 Loss_G: 0.016881 Loss_D_real: -0.021620 Loss_D_fake 0.002017
[1045/5000][235/535][107735] Loss_D: -0.022523 Loss_G: 0.021081 Loss_D_real: -0.027181 Loss_D_fake -0.004658
[1045/5000][240/535][107736] Loss_D: -0.023424 Loss_G: 0.025934 Loss_D_real: -0.027231 Loss_D_fake -0.003807
[1045/5000][245/535][107737] Loss_D: -0.022547 Loss_G: 0.010507 Loss_D_real: -0.011255 Loss_D_fake 0.011292
[1045/5000][250/535][107738] Loss_D: -0.022859 Loss_G: 0.014926 Loss_D_real: -0.013306 Loss_D_fake 0.009552
[1045/5000][255/535][107739] Loss_D: -0.021486 Loss_G: -0.000792 Loss_D_real: -0.009424 Loss_D_fake 0.012062
[1045/5000][260/535][107740] Loss_D: -0.023201 Loss_G: -0.005851 Loss_D_real: -0.012174 Loss_D_fake 0.011026
[1045/5000][265/535][107741] Loss_D: -0.022428 Loss_G: -0.004778 Loss_D_real: -0.003088 Loss_D_fake 0.019340
[1045/5000][270/535][107742] Loss_D: -0.022779 Loss_G: 0.011450 Loss_D_real: -0.030778 Loss_D_fake -0.007999
[1045/5000][275/535][107743] Loss_D: -0.022610 Loss_G: 0.001207 Loss_D_real: -0.016933 Loss_D_fake 0.005677
[1045/5000][280/535][107744] Loss_D: -0.022231 Loss_G: 0.000441 Loss_D_real: -0.016509 Loss_D_fake 0.005722
[1045/5000][285/535][107745] Loss_D: -0.023211 Loss_G: 0.025109 Loss_D_real: -0.025496 Loss_D_fake -0.002284
[1045/5000][290/535][107746] Loss_D: -0.021682 Loss_G: -0.004787 Loss_D_real: -0.009002 Loss_D_fake 0.012680
[1045/5000][295/535][107747] Loss_D: -0.023284 Loss_G: -0.002682 Loss_D_real: -0.014925 Loss_D_fake 0.008359
[1045/5000][300/535][107748] Loss_D: -0.022532 Loss_G: -0.007565 Loss_D_real: -0.010120 Loss_D_fake 0.012413
[1045/5000][305/535][107749] Loss_D: -0.022764 Loss_G: 0.013705 Loss_D_real: -0.023439 Loss_D_fake -0.000675
[1045/5000][310/535][107750] Loss_D: -0.023480 Loss_G: 0.012365 Loss_D_real: -0.026262 Loss_D_fake -0.002782
[1045/5000][315/535][107751] Loss_D: -0.021968 Loss_G: 0.026703 Loss_D_real: -0.035710 Loss_D_fake -0.013743
[1045/5000][320/535][107752] Loss_D: -0.023607 Loss_G: 0.016078 Loss_D_real: -0.007531 Loss_D_fake 0.016076
[1045/5000][325/535][107753] Loss_D: -0.022819 Loss_G: -0.001663 Loss_D_real: -0.018045 Loss_D_fake 0.004774
[1045/5000][330/535][107754] Loss_D: -0.021883 Loss_G: 0.026424 Loss_D_real: -0.026306 Loss_D_fake -0.004423
[1045/5000][335/535][107755] Loss_D: -0.024069 Loss_G: -0.001585 Loss_D_real: -0.011506 Loss_D_fake 0.012563
[1045/5000][340/535][107756] Loss_D: -0.022692 Loss_G: 0.010163 Loss_D_real: -0.022271 Loss_D_fake 0.000421
[1045/5000][345/535][107757] Loss_D: -0.022666 Loss_G: -0.010072 Loss_D_real: -0.021760 Loss_D_fake 0.000906
[1045/5000][350/535][107758] Loss_D: -0.021869 Loss_G: -0.000080 Loss_D_real: -0.021842 Loss_D_fake 0.000027
[1045/5000][355/535][107759] Loss_D: -0.020787 Loss_G: 0.008230 Loss_D_real: -0.022723 Loss_D_fake -0.001936
[1045/5000][360/535][107760] Loss_D: -0.024145 Loss_G: 0.001930 Loss_D_real: -0.012232 Loss_D_fake 0.011913
[1045/5000][365/535][107761] Loss_D: -0.022208 Loss_G: -0.009076 Loss_D_real: -0.008695 Loss_D_fake 0.013513
[1045/5000][370/535][107762] Loss_D: -0.022116 Loss_G: 0.014005 Loss_D_real: -0.013263 Loss_D_fake 0.008852
[1045/5000][375/535][107763] Loss_D: -0.022270 Loss_G: 0.010994 Loss_D_real: -0.019876 Loss_D_fake 0.002394
[1045/5000][380/535][107764] Loss_D: -0.021581 Loss_G: 0.000738 Loss_D_real: -0.027449 Loss_D_fake -0.005868
[1045/5000][385/535][107765] Loss_D: -0.023210 Loss_G: 0.017002 Loss_D_real: -0.018042 Loss_D_fake 0.005168
[1045/5000][390/535][107766] Loss_D: -0.023908 Loss_G: 0.003737 Loss_D_real: -0.007684 Loss_D_fake 0.016224
[1045/5000][395/535][107767] Loss_D: -0.020350 Loss_G: 0.025298 Loss_D_real: -0.032874 Loss_D_fake -0.012524
[1045/5000][400/535][107768] Loss_D: -0.021482 Loss_G: -0.009684 Loss_D_real: -0.002970 Loss_D_fake 0.018512
[1045/5000][405/535][107769] Loss_D: -0.021010 Loss_G: 0.007076 Loss_D_real: -0.018240 Loss_D_fake 0.002770
[1045/5000][410/535][107770] Loss_D: -0.020406 Loss_G: 0.013797 Loss_D_real: -0.016819 Loss_D_fake 0.003587
[1045/5000][415/535][107771] Loss_D: -0.020988 Loss_G: 0.017495 Loss_D_real: -0.027089 Loss_D_fake -0.006101
[1045/5000][420/535][107772] Loss_D: -0.021671 Loss_G: 0.008629 Loss_D_real: -0.027198 Loss_D_fake -0.005527
[1045/5000][425/535][107773] Loss_D: -0.022568 Loss_G: 0.020287 Loss_D_real: -0.018874 Loss_D_fake 0.003695
[1045/5000][430/535][107774] Loss_D: -0.021804 Loss_G: -0.012346 Loss_D_real: -0.008681 Loss_D_fake 0.013123
[1045/5000][435/535][107775] Loss_D: -0.021828 Loss_G: 0.022273 Loss_D_real: -0.032636 Loss_D_fake -0.010808
[1045/5000][440/535][107776] Loss_D: -0.020185 Loss_G: -0.010921 Loss_D_real: 0.006948 Loss_D_fake 0.027133
[1045/5000][445/535][107777] Loss_D: -0.022866 Loss_G: 0.004044 Loss_D_real: -0.009347 Loss_D_fake 0.013519
[1045/5000][450/535][107778] Loss_D: -0.023348 Loss_G: 0.024210 Loss_D_real: -0.027674 Loss_D_fake -0.004327
[1045/5000][455/535][107779] Loss_D: -0.023420 Loss_G: -0.011290 Loss_D_real: -0.016546 Loss_D_fake 0.006874
[1045/5000][460/535][107780] Loss_D: -0.022998 Loss_G: 0.008977 Loss_D_real: -0.014919 Loss_D_fake 0.008079
[1045/5000][465/535][107781] Loss_D: -0.023156 Loss_G: 0.023495 Loss_D_real: -0.028184 Loss_D_fake -0.005028
[1045/5000][470/535][107782] Loss_D: -0.020466 Loss_G: -0.005996 Loss_D_real: 0.004656 Loss_D_fake 0.025122
[1045/5000][475/535][107783] Loss_D: -0.020718 Loss_G: -0.016845 Loss_D_real: 0.002400 Loss_D_fake 0.023119
[1045/5000][480/535][107784] Loss_D: -0.021236 Loss_G: 0.014618 Loss_D_real: -0.032168 Loss_D_fake -0.010932
[1045/5000][485/535][107785] Loss_D: -0.021506 Loss_G: 0.001063 Loss_D_real: -0.017576 Loss_D_fake 0.003930
[1045/5000][490/535][107786] Loss_D: -0.023111 Loss_G: 0.023427 Loss_D_real: -0.029882 Loss_D_fake -0.006771
[1045/5000][495/535][107787] Loss_D: -0.023067 Loss_G: -0.006615 Loss_D_real: -0.018063 Loss_D_fake 0.005005
[1045/5000][500/535][107788] Loss_D: -0.021127 Loss_G: 0.004946 Loss_D_real: -0.020831 Loss_D_fake 0.000296
[1045/5000][505/535][107789] Loss_D: -0.022544 Loss_G: 0.020538 Loss_D_real: -0.023704 Loss_D_fake -0.001160
[1045/5000][510/535][107790] Loss_D: -0.022076 Loss_G: 0.014053 Loss_D_real: -0.020173 Loss_D_fake 0.001903
[1045/5000][515/535][107791] Loss_D: -0.021656 Loss_G: -0.011416 Loss_D_real: -0.011070 Loss_D_fake 0.010586
[1045/5000][520/535][107792] Loss_D: -0.021199 Loss_G: 0.012596 Loss_D_real: -0.027779 Loss_D_fake -0.006580
[1045/5000][525/535][107793] Loss_D: -0.022413 Loss_G: 0.000113 Loss_D_real: -0.014150 Loss_D_fake 0.008263
[1045/5000][530/535][107794] Loss_D: -0.023415 Loss_G: 0.005557 Loss_D_real: -0.017091 Loss_D_fake 0.006323
[1045/5000][535/535][107795] Loss_D: -0.021007 Loss_G: -0.015625 Loss_D_real: -0.017628 Loss_D_fake 0.003378
[1046/5000][5/535][107796] Loss_D: -0.021330 Loss_G: 0.012252 Loss_D_real: -0.021370 Loss_D_fake -0.000040
[1046/5000][10/535][107797] Loss_D: -0.021712 Loss_G: 0.028446 Loss_D_real: -0.022695 Loss_D_fake -0.000983
[1046/5000][15/535][107798] Loss_D: -0.021531 Loss_G: -0.004162 Loss_D_real: -0.005555 Loss_D_fake 0.015976
[1046/5000][20/535][107799] Loss_D: -0.022896 Loss_G: 0.003560 Loss_D_real: -0.022514 Loss_D_fake 0.000382
[1046/5000][25/535][107800] Loss_D: -0.021026 Loss_G: 0.006788 Loss_D_real: -0.011330 Loss_D_fake 0.009696
[1046/5000][30/535][107801] Loss_D: -0.023012 Loss_G: 0.004943 Loss_D_real: -0.022674 Loss_D_fake 0.000338
[1046/5000][35/535][107802] Loss_D: -0.022939 Loss_G: 0.009205 Loss_D_real: -0.014493 Loss_D_fake 0.008446
[1046/5000][40/535][107803] Loss_D: -0.022707 Loss_G: 0.015719 Loss_D_real: -0.031129 Loss_D_fake -0.008422
[1046/5000][45/535][107804] Loss_D: -0.023051 Loss_G: 0.003816 Loss_D_real: -0.015871 Loss_D_fake 0.007180
[1046/5000][50/535][107805] Loss_D: -0.023039 Loss_G: 0.008983 Loss_D_real: -0.003855 Loss_D_fake 0.019184
[1046/5000][55/535][107806] Loss_D: -0.022601 Loss_G: 0.004278 Loss_D_real: -0.015735 Loss_D_fake 0.006865
[1046/5000][60/535][107807] Loss_D: -0.021315 Loss_G: 0.006268 Loss_D_real: -0.010756 Loss_D_fake 0.010558
[1046/5000][65/535][107808] Loss_D: -0.021784 Loss_G: 0.025915 Loss_D_real: -0.033573 Loss_D_fake -0.011789
[1046/5000][70/535][107809] Loss_D: -0.022129 Loss_G: 0.014176 Loss_D_real: -0.019218 Loss_D_fake 0.002911
[1046/5000][75/535][107810] Loss_D: -0.021964 Loss_G: -0.012944 Loss_D_real: -0.016362 Loss_D_fake 0.005603
[1046/5000][80/535][107811] Loss_D: -0.022965 Loss_G: 0.020686 Loss_D_real: -0.030724 Loss_D_fake -0.007759
[1046/5000][85/535][107812] Loss_D: -0.023312 Loss_G: 0.010490 Loss_D_real: -0.030527 Loss_D_fake -0.007215
[1046/5000][90/535][107813] Loss_D: -0.022410 Loss_G: 0.032187 Loss_D_real: -0.029526 Loss_D_fake -0.007116
[1046/5000][95/535][107814] Loss_D: -0.023583 Loss_G: 0.014228 Loss_D_real: -0.018746 Loss_D_fake 0.004837
[1046/5000][100/535][107815] Loss_D: -0.022898 Loss_G: 0.010681 Loss_D_real: -0.033751 Loss_D_fake -0.010853
[1046/5000][105/535][107816] Loss_D: -0.021637 Loss_G: -0.012512 Loss_D_real: -0.006993 Loss_D_fake 0.014643
[1046/5000][110/535][107817] Loss_D: -0.022420 Loss_G: 0.025160 Loss_D_real: -0.023667 Loss_D_fake -0.001247
[1046/5000][115/535][107818] Loss_D: -0.022020 Loss_G: 0.011057 Loss_D_real: -0.018791 Loss_D_fake 0.003229
[1046/5000][120/535][107819] Loss_D: -0.021183 Loss_G: 0.005121 Loss_D_real: -0.028575 Loss_D_fake -0.007391
[1046/5000][125/535][107820] Loss_D: -0.022825 Loss_G: 0.007729 Loss_D_real: -0.011552 Loss_D_fake 0.011273
[1046/5000][130/535][107821] Loss_D: -0.022701 Loss_G: 0.003877 Loss_D_real: -0.021586 Loss_D_fake 0.001115
[1046/5000][135/535][107822] Loss_D: -0.022649 Loss_G: 0.025565 Loss_D_real: -0.025406 Loss_D_fake -0.002757
[1046/5000][140/535][107823] Loss_D: -0.022742 Loss_G: 0.009666 Loss_D_real: -0.016895 Loss_D_fake 0.005847
[1046/5000][145/535][107824] Loss_D: -0.022869 Loss_G: -0.009498 Loss_D_real: -0.014579 Loss_D_fake 0.008290
[1046/5000][150/535][107825] Loss_D: -0.023309 Loss_G: 0.011267 Loss_D_real: -0.022652 Loss_D_fake 0.000657
[1046/5000][155/535][107826] Loss_D: -0.022553 Loss_G: 0.016668 Loss_D_real: -0.026482 Loss_D_fake -0.003929
[1046/5000][160/535][107827] Loss_D: -0.022185 Loss_G: 0.010424 Loss_D_real: -0.025049 Loss_D_fake -0.002864
[1046/5000][165/535][107828] Loss_D: -0.022592 Loss_G: 0.001399 Loss_D_real: -0.015263 Loss_D_fake 0.007329
[1046/5000][170/535][107829] Loss_D: -0.020782 Loss_G: -0.011763 Loss_D_real: -0.006610 Loss_D_fake 0.014171
[1046/5000][175/535][107830] Loss_D: -0.022647 Loss_G: 0.013899 Loss_D_real: -0.006097 Loss_D_fake 0.016550
[1046/5000][180/535][107831] Loss_D: -0.021476 Loss_G: 0.014138 Loss_D_real: -0.020918 Loss_D_fake 0.000558
[1046/5000][185/535][107832] Loss_D: -0.022492 Loss_G: 0.012633 Loss_D_real: -0.012008 Loss_D_fake 0.010484
[1046/5000][190/535][107833] Loss_D: -0.021817 Loss_G: -0.000117 Loss_D_real: -0.016814 Loss_D_fake 0.005003
[1046/5000][195/535][107834] Loss_D: -0.021633 Loss_G: 0.034395 Loss_D_real: -0.032272 Loss_D_fake -0.010639
[1046/5000][200/535][107835] Loss_D: -0.022908 Loss_G: -0.010534 Loss_D_real: -0.007046 Loss_D_fake 0.015862
[1046/5000][205/535][107836] Loss_D: -0.021300 Loss_G: 0.020717 Loss_D_real: -0.036467 Loss_D_fake -0.015167
[1046/5000][210/535][107837] Loss_D: -0.021967 Loss_G: 0.008551 Loss_D_real: -0.022439 Loss_D_fake -0.000472
[1046/5000][215/535][107838] Loss_D: -0.022041 Loss_G: -0.004829 Loss_D_real: -0.006381 Loss_D_fake 0.015660
[1046/5000][220/535][107839] Loss_D: -0.022711 Loss_G: 0.019389 Loss_D_real: -0.026637 Loss_D_fake -0.003926
[1046/5000][225/535][107840] Loss_D: -0.022899 Loss_G: 0.002502 Loss_D_real: -0.013052 Loss_D_fake 0.009847
[1046/5000][230/535][107841] Loss_D: -0.021563 Loss_G: 0.006521 Loss_D_real: -0.026520 Loss_D_fake -0.004957
[1046/5000][235/535][107842] Loss_D: -0.022059 Loss_G: 0.012393 Loss_D_real: -0.020692 Loss_D_fake 0.001368
[1046/5000][240/535][107843] Loss_D: -0.021235 Loss_G: 0.012072 Loss_D_real: -0.011168 Loss_D_fake 0.010068
[1046/5000][245/535][107844] Loss_D: -0.021812 Loss_G: 0.000988 Loss_D_real: -0.018413 Loss_D_fake 0.003399
[1046/5000][250/535][107845] Loss_D: -0.021114 Loss_G: 0.002555 Loss_D_real: -0.013628 Loss_D_fake 0.007486
[1046/5000][255/535][107846] Loss_D: -0.020660 Loss_G: 0.032428 Loss_D_real: -0.024889 Loss_D_fake -0.004230
[1046/5000][260/535][107847] Loss_D: -0.023713 Loss_G: -0.005529 Loss_D_real: -0.013965 Loss_D_fake 0.009748
[1046/5000][265/535][107848] Loss_D: -0.022000 Loss_G: 0.011193 Loss_D_real: -0.024610 Loss_D_fake -0.002611
[1046/5000][270/535][107849] Loss_D: -0.022591 Loss_G: -0.008091 Loss_D_real: 0.000063 Loss_D_fake 0.022654
[1046/5000][275/535][107850] Loss_D: -0.022129 Loss_G: 0.007703 Loss_D_real: -0.023401 Loss_D_fake -0.001273
[1046/5000][280/535][107851] Loss_D: -0.020893 Loss_G: 0.039289 Loss_D_real: -0.027313 Loss_D_fake -0.006419
[1046/5000][285/535][107852] Loss_D: -0.022109 Loss_G: 0.016724 Loss_D_real: -0.023911 Loss_D_fake -0.001802
[1046/5000][290/535][107853] Loss_D: -0.022998 Loss_G: -0.009227 Loss_D_real: -0.016102 Loss_D_fake 0.006897
[1046/5000][295/535][107854] Loss_D: -0.021083 Loss_G: 0.020043 Loss_D_real: -0.024522 Loss_D_fake -0.003439
[1046/5000][300/535][107855] Loss_D: -0.022601 Loss_G: -0.006886 Loss_D_real: -0.009479 Loss_D_fake 0.013122
[1046/5000][305/535][107856] Loss_D: -0.021375 Loss_G: 0.020946 Loss_D_real: -0.036528 Loss_D_fake -0.015153
[1046/5000][310/535][107857] Loss_D: -0.023396 Loss_G: 0.018396 Loss_D_real: -0.023422 Loss_D_fake -0.000026
[1046/5000][315/535][107858] Loss_D: -0.023035 Loss_G: 0.005294 Loss_D_real: -0.018989 Loss_D_fake 0.004046
[1046/5000][320/535][107859] Loss_D: -0.022333 Loss_G: 0.029343 Loss_D_real: -0.027250 Loss_D_fake -0.004917
[1046/5000][325/535][107860] Loss_D: -0.022549 Loss_G: 0.005425 Loss_D_real: -0.027570 Loss_D_fake -0.005021
[1046/5000][330/535][107861] Loss_D: -0.022248 Loss_G: -0.006015 Loss_D_real: -0.003709 Loss_D_fake 0.018539
[1046/5000][335/535][107862] Loss_D: -0.022284 Loss_G: 0.002224 Loss_D_real: -0.007975 Loss_D_fake 0.014308
[1046/5000][340/535][107863] Loss_D: -0.020374 Loss_G: 0.002414 Loss_D_real: -0.016521 Loss_D_fake 0.003852
[1046/5000][345/535][107864] Loss_D: -0.021626 Loss_G: 0.018239 Loss_D_real: -0.025101 Loss_D_fake -0.003475
[1046/5000][350/535][107865] Loss_D: -0.023586 Loss_G: 0.023513 Loss_D_real: -0.019087 Loss_D_fake 0.004499
[1046/5000][355/535][107866] Loss_D: -0.020740 Loss_G: 0.008834 Loss_D_real: -0.012847 Loss_D_fake 0.007893
[1046/5000][360/535][107867] Loss_D: -0.023025 Loss_G: 0.014951 Loss_D_real: -0.029015 Loss_D_fake -0.005990
[1046/5000][365/535][107868] Loss_D: -0.022485 Loss_G: -0.003218 Loss_D_real: -0.008027 Loss_D_fake 0.014458
[1046/5000][370/535][107869] Loss_D: -0.022073 Loss_G: 0.009880 Loss_D_real: -0.025038 Loss_D_fake -0.002965
[1046/5000][375/535][107870] Loss_D: -0.022374 Loss_G: -0.005708 Loss_D_real: -0.004157 Loss_D_fake 0.018217
[1046/5000][380/535][107871] Loss_D: -0.022523 Loss_G: 0.000029 Loss_D_real: -0.001202 Loss_D_fake 0.021321
[1046/5000][385/535][107872] Loss_D: -0.019583 Loss_G: -0.010044 Loss_D_real: 0.003786 Loss_D_fake 0.023369
[1046/5000][390/535][107873] Loss_D: -0.021919 Loss_G: 0.010126 Loss_D_real: -0.017646 Loss_D_fake 0.004273
[1046/5000][395/535][107874] Loss_D: -0.020715 Loss_G: -0.013520 Loss_D_real: 0.003730 Loss_D_fake 0.024445
[1046/5000][400/535][107875] Loss_D: -0.023190 Loss_G: 0.019967 Loss_D_real: -0.019307 Loss_D_fake 0.003883
[1046/5000][405/535][107876] Loss_D: -0.024302 Loss_G: 0.016447 Loss_D_real: -0.024318 Loss_D_fake -0.000016
[1046/5000][410/535][107877] Loss_D: -0.022183 Loss_G: 0.020708 Loss_D_real: -0.026524 Loss_D_fake -0.004341
[1046/5000][415/535][107878] Loss_D: -0.023430 Loss_G: -0.003906 Loss_D_real: -0.021291 Loss_D_fake 0.002138
[1046/5000][420/535][107879] Loss_D: -0.023083 Loss_G: 0.002861 Loss_D_real: -0.014367 Loss_D_fake 0.008715
[1046/5000][425/535][107880] Loss_D: -0.023134 Loss_G: 0.004734 Loss_D_real: -0.011864 Loss_D_fake 0.011270
[1046/5000][430/535][107881] Loss_D: -0.022500 Loss_G: 0.003144 Loss_D_real: -0.014930 Loss_D_fake 0.007570
[1046/5000][435/535][107882] Loss_D: -0.022892 Loss_G: 0.010934 Loss_D_real: -0.014222 Loss_D_fake 0.008671
[1046/5000][440/535][107883] Loss_D: -0.022743 Loss_G: 0.019906 Loss_D_real: -0.017285 Loss_D_fake 0.005458
[1046/5000][445/535][107884] Loss_D: -0.022097 Loss_G: 0.024731 Loss_D_real: -0.022374 Loss_D_fake -0.000278
[1046/5000][450/535][107885] Loss_D: -0.023270 Loss_G: -0.010399 Loss_D_real: -0.004706 Loss_D_fake 0.018564
[1046/5000][455/535][107886] Loss_D: -0.021198 Loss_G: 0.027080 Loss_D_real: -0.032924 Loss_D_fake -0.011726
[1046/5000][460/535][107887] Loss_D: -0.022775 Loss_G: 0.015149 Loss_D_real: -0.017777 Loss_D_fake 0.004998
[1046/5000][465/535][107888] Loss_D: -0.021482 Loss_G: -0.001281 Loss_D_real: -0.008027 Loss_D_fake 0.013455
[1046/5000][470/535][107889] Loss_D: -0.020407 Loss_G: 0.023846 Loss_D_real: -0.036049 Loss_D_fake -0.015642
[1046/5000][475/535][107890] Loss_D: -0.022335 Loss_G: -0.008480 Loss_D_real: -0.013194 Loss_D_fake 0.009141
[1046/5000][480/535][107891] Loss_D: -0.020909 Loss_G: 0.026828 Loss_D_real: -0.024342 Loss_D_fake -0.003433
[1046/5000][485/535][107892] Loss_D: -0.021023 Loss_G: -0.004827 Loss_D_real: -0.007864 Loss_D_fake 0.013158
[1046/5000][490/535][107893] Loss_D: -0.022158 Loss_G: 0.008979 Loss_D_real: -0.030620 Loss_D_fake -0.008462
[1046/5000][495/535][107894] Loss_D: -0.021308 Loss_G: 0.001981 Loss_D_real: -0.016934 Loss_D_fake 0.004375
[1046/5000][500/535][107895] Loss_D: -0.022127 Loss_G: 0.016197 Loss_D_real: -0.017176 Loss_D_fake 0.004950
[1046/5000][505/535][107896] Loss_D: -0.022212 Loss_G: 0.001330 Loss_D_real: -0.031453 Loss_D_fake -0.009240
[1046/5000][510/535][107897] Loss_D: -0.022449 Loss_G: 0.014168 Loss_D_real: -0.027619 Loss_D_fake -0.005170
[1046/5000][515/535][107898] Loss_D: -0.023149 Loss_G: -0.002269 Loss_D_real: -0.015639 Loss_D_fake 0.007510
[1046/5000][520/535][107899] Loss_D: -0.021806 Loss_G: 0.007583 Loss_D_real: -0.010736 Loss_D_fake 0.011071
[1046/5000][525/535][107900] Loss_D: -0.020915 Loss_G: 0.011232 Loss_D_real: -0.027531 Loss_D_fake -0.006616
[1046/5000][530/535][107901] Loss_D: -0.021206 Loss_G: 0.024748 Loss_D_real: -0.031061 Loss_D_fake -0.009855
[1046/5000][535/535][107902] Loss_D: -0.020995 Loss_G: 0.016611 Loss_D_real: -0.018534 Loss_D_fake 0.002461
[1047/5000][5/535][107903] Loss_D: -0.023559 Loss_G: 0.004182 Loss_D_real: -0.036167 Loss_D_fake -0.012608
[1047/5000][10/535][107904] Loss_D: -0.022969 Loss_G: 0.009448 Loss_D_real: -0.017984 Loss_D_fake 0.004984
[1047/5000][15/535][107905] Loss_D: -0.022389 Loss_G: 0.025643 Loss_D_real: -0.023931 Loss_D_fake -0.001542
[1047/5000][20/535][107906] Loss_D: -0.023084 Loss_G: 0.014000 Loss_D_real: -0.013568 Loss_D_fake 0.009516
[1047/5000][25/535][107907] Loss_D: -0.024542 Loss_G: 0.007154 Loss_D_real: -0.022916 Loss_D_fake 0.001626
[1047/5000][30/535][107908] Loss_D: -0.023634 Loss_G: -0.008624 Loss_D_real: -0.002661 Loss_D_fake 0.020974
[1047/5000][35/535][107909] Loss_D: -0.024075 Loss_G: 0.028052 Loss_D_real: -0.028510 Loss_D_fake -0.004435
[1047/5000][40/535][107910] Loss_D: -0.022407 Loss_G: -0.000108 Loss_D_real: -0.012250 Loss_D_fake 0.010157
[1047/5000][45/535][107911] Loss_D: -0.022178 Loss_G: 0.016220 Loss_D_real: -0.019602 Loss_D_fake 0.002576
[1047/5000][50/535][107912] Loss_D: -0.021832 Loss_G: 0.005949 Loss_D_real: -0.017389 Loss_D_fake 0.004444
[1047/5000][55/535][107913] Loss_D: -0.022113 Loss_G: 0.005162 Loss_D_real: 0.003859 Loss_D_fake 0.025972
[1047/5000][60/535][107914] Loss_D: -0.022680 Loss_G: -0.006108 Loss_D_real: -0.008179 Loss_D_fake 0.014501
[1047/5000][65/535][107915] Loss_D: -0.023100 Loss_G: 0.010032 Loss_D_real: -0.015018 Loss_D_fake 0.008082
[1047/5000][70/535][107916] Loss_D: -0.023062 Loss_G: 0.005933 Loss_D_real: -0.018935 Loss_D_fake 0.004127
[1047/5000][75/535][107917] Loss_D: -0.021724 Loss_G: -0.012577 Loss_D_real: -0.001463 Loss_D_fake 0.020261
[1047/5000][80/535][107918] Loss_D: -0.022135 Loss_G: 0.020031 Loss_D_real: -0.023995 Loss_D_fake -0.001860
[1047/5000][85/535][107919] Loss_D: -0.021771 Loss_G: -0.012101 Loss_D_real: -0.011193 Loss_D_fake 0.010578
[1047/5000][90/535][107920] Loss_D: -0.023823 Loss_G: 0.021788 Loss_D_real: -0.020210 Loss_D_fake 0.003613
[1047/5000][95/535][107921] Loss_D: -0.022680 Loss_G: -0.021506 Loss_D_real: -0.006990 Loss_D_fake 0.015691
[1047/5000][100/535][107922] Loss_D: -0.022322 Loss_G: 0.006881 Loss_D_real: -0.018195 Loss_D_fake 0.004127
[1047/5000][105/535][107923] Loss_D: -0.021549 Loss_G: -0.001678 Loss_D_real: -0.011627 Loss_D_fake 0.009922
[1047/5000][110/535][107924] Loss_D: -0.022069 Loss_G: 0.016331 Loss_D_real: -0.020371 Loss_D_fake 0.001699
[1047/5000][115/535][107925] Loss_D: -0.021783 Loss_G: 0.012472 Loss_D_real: -0.020318 Loss_D_fake 0.001465
[1047/5000][120/535][107926] Loss_D: -0.024239 Loss_G: 0.010235 Loss_D_real: -0.013236 Loss_D_fake 0.011003
[1047/5000][125/535][107927] Loss_D: -0.024453 Loss_G: 0.013851 Loss_D_real: -0.020950 Loss_D_fake 0.003504
[1047/5000][130/535][107928] Loss_D: -0.023069 Loss_G: 0.023244 Loss_D_real: -0.027716 Loss_D_fake -0.004647
[1047/5000][135/535][107929] Loss_D: -0.022512 Loss_G: 0.007061 Loss_D_real: -0.007985 Loss_D_fake 0.014526
[1047/5000][140/535][107930] Loss_D: -0.023164 Loss_G: 0.014769 Loss_D_real: -0.018005 Loss_D_fake 0.005159
[1047/5000][145/535][107931] Loss_D: -0.023590 Loss_G: 0.005477 Loss_D_real: -0.037002 Loss_D_fake -0.013412
[1047/5000][150/535][107932] Loss_D: -0.022043 Loss_G: 0.030620 Loss_D_real: -0.039699 Loss_D_fake -0.017656
[1047/5000][155/535][107933] Loss_D: -0.020652 Loss_G: 0.033713 Loss_D_real: -0.039179 Loss_D_fake -0.018528
[1047/5000][160/535][107934] Loss_D: -0.024013 Loss_G: -0.007539 Loss_D_real: -0.018619 Loss_D_fake 0.005394
[1047/5000][165/535][107935] Loss_D: -0.021504 Loss_G: 0.011754 Loss_D_real: -0.034028 Loss_D_fake -0.012524
[1047/5000][170/535][107936] Loss_D: -0.022948 Loss_G: 0.017134 Loss_D_real: -0.032542 Loss_D_fake -0.009593
[1047/5000][175/535][107937] Loss_D: -0.023443 Loss_G: 0.006548 Loss_D_real: -0.019135 Loss_D_fake 0.004308
[1047/5000][180/535][107938] Loss_D: -0.021845 Loss_G: 0.013397 Loss_D_real: -0.031066 Loss_D_fake -0.009221
[1047/5000][185/535][107939] Loss_D: -0.022085 Loss_G: 0.009869 Loss_D_real: -0.022903 Loss_D_fake -0.000818
[1047/5000][190/535][107940] Loss_D: -0.023027 Loss_G: -0.001746 Loss_D_real: -0.010684 Loss_D_fake 0.012343
[1047/5000][195/535][107941] Loss_D: -0.021785 Loss_G: 0.025703 Loss_D_real: -0.025745 Loss_D_fake -0.003960
[1047/5000][200/535][107942] Loss_D: -0.020770 Loss_G: 0.018762 Loss_D_real: -0.031044 Loss_D_fake -0.010274
[1047/5000][205/535][107943] Loss_D: -0.021712 Loss_G: 0.004694 Loss_D_real: -0.012018 Loss_D_fake 0.009695
[1047/5000][210/535][107944] Loss_D: -0.022663 Loss_G: 0.002839 Loss_D_real: -0.017037 Loss_D_fake 0.005625
[1047/5000][215/535][107945] Loss_D: -0.022945 Loss_G: -0.002054 Loss_D_real: -0.006600 Loss_D_fake 0.016345
[1047/5000][220/535][107946] Loss_D: -0.022358 Loss_G: -0.000547 Loss_D_real: -0.028794 Loss_D_fake -0.006437
[1047/5000][225/535][107947] Loss_D: -0.021504 Loss_G: 0.024791 Loss_D_real: -0.029630 Loss_D_fake -0.008126
[1047/5000][230/535][107948] Loss_D: -0.021886 Loss_G: -0.002708 Loss_D_real: -0.019488 Loss_D_fake 0.002398
[1047/5000][235/535][107949] Loss_D: -0.020869 Loss_G: 0.014773 Loss_D_real: -0.028175 Loss_D_fake -0.007306
[1047/5000][240/535][107950] Loss_D: -0.022141 Loss_G: 0.022072 Loss_D_real: -0.026075 Loss_D_fake -0.003935
[1047/5000][245/535][107951] Loss_D: -0.023575 Loss_G: 0.011780 Loss_D_real: -0.021378 Loss_D_fake 0.002198
[1047/5000][250/535][107952] Loss_D: -0.022220 Loss_G: 0.018638 Loss_D_real: -0.020763 Loss_D_fake 0.001457
[1047/5000][255/535][107953] Loss_D: -0.022027 Loss_G: 0.016131 Loss_D_real: -0.024685 Loss_D_fake -0.002657
[1047/5000][260/535][107954] Loss_D: -0.022210 Loss_G: 0.001741 Loss_D_real: -0.012485 Loss_D_fake 0.009725
[1047/5000][265/535][107955] Loss_D: -0.023701 Loss_G: 0.005476 Loss_D_real: -0.017302 Loss_D_fake 0.006399
[1047/5000][270/535][107956] Loss_D: -0.022099 Loss_G: 0.015065 Loss_D_real: -0.022499 Loss_D_fake -0.000399
[1047/5000][275/535][107957] Loss_D: -0.020562 Loss_G: 0.030531 Loss_D_real: -0.036345 Loss_D_fake -0.015783
[1047/5000][280/535][107958] Loss_D: -0.022734 Loss_G: 0.018025 Loss_D_real: -0.025194 Loss_D_fake -0.002459
[1047/5000][285/535][107959] Loss_D: -0.022556 Loss_G: -0.011624 Loss_D_real: -0.009454 Loss_D_fake 0.013102
[1047/5000][290/535][107960] Loss_D: -0.022040 Loss_G: 0.011872 Loss_D_real: -0.019107 Loss_D_fake 0.002933
[1047/5000][295/535][107961] Loss_D: -0.020715 Loss_G: 0.004937 Loss_D_real: -0.028686 Loss_D_fake -0.007971
[1047/5000][300/535][107962] Loss_D: -0.022833 Loss_G: 0.013070 Loss_D_real: -0.022933 Loss_D_fake -0.000100
[1047/5000][305/535][107963] Loss_D: -0.021956 Loss_G: 0.013200 Loss_D_real: -0.017990 Loss_D_fake 0.003966
[1047/5000][310/535][107964] Loss_D: -0.023435 Loss_G: 0.011261 Loss_D_real: -0.024920 Loss_D_fake -0.001486
[1047/5000][315/535][107965] Loss_D: -0.021879 Loss_G: 0.029457 Loss_D_real: -0.031298 Loss_D_fake -0.009419
[1047/5000][320/535][107966] Loss_D: -0.023114 Loss_G: 0.001849 Loss_D_real: -0.010335 Loss_D_fake 0.012779
[1047/5000][325/535][107967] Loss_D: -0.023054 Loss_G: 0.023211 Loss_D_real: -0.020908 Loss_D_fake 0.002147
[1047/5000][330/535][107968] Loss_D: -0.023574 Loss_G: 0.019839 Loss_D_real: -0.027089 Loss_D_fake -0.003515
[1047/5000][335/535][107969] Loss_D: -0.023670 Loss_G: -0.004119 Loss_D_real: -0.012894 Loss_D_fake 0.010776
[1047/5000][340/535][107970] Loss_D: -0.022869 Loss_G: 0.000422 Loss_D_real: -0.018187 Loss_D_fake 0.004682
[1047/5000][345/535][107971] Loss_D: -0.022688 Loss_G: -0.009469 Loss_D_real: -0.005449 Loss_D_fake 0.017239
[1047/5000][350/535][107972] Loss_D: -0.022016 Loss_G: 0.015157 Loss_D_real: -0.030178 Loss_D_fake -0.008162
[1047/5000][355/535][107973] Loss_D: -0.022434 Loss_G: 0.009211 Loss_D_real: -0.020328 Loss_D_fake 0.002105
[1047/5000][360/535][107974] Loss_D: -0.021893 Loss_G: 0.019819 Loss_D_real: -0.027961 Loss_D_fake -0.006068
[1047/5000][365/535][107975] Loss_D: -0.022927 Loss_G: 0.022326 Loss_D_real: -0.029188 Loss_D_fake -0.006261
[1047/5000][370/535][107976] Loss_D: -0.023215 Loss_G: 0.005952 Loss_D_real: -0.013209 Loss_D_fake 0.010006
[1047/5000][375/535][107977] Loss_D: -0.023200 Loss_G: 0.017531 Loss_D_real: -0.027634 Loss_D_fake -0.004433
[1047/5000][380/535][107978] Loss_D: -0.022391 Loss_G: 0.022538 Loss_D_real: -0.021155 Loss_D_fake 0.001236
[1047/5000][385/535][107979] Loss_D: -0.022838 Loss_G: -0.016370 Loss_D_real: -0.000969 Loss_D_fake 0.021869
[1047/5000][390/535][107980] Loss_D: -0.021566 Loss_G: 0.015433 Loss_D_real: -0.028674 Loss_D_fake -0.007108
[1047/5000][395/535][107981] Loss_D: -0.023172 Loss_G: 0.009452 Loss_D_real: -0.013721 Loss_D_fake 0.009451
[1047/5000][400/535][107982] Loss_D: -0.021537 Loss_G: 0.011424 Loss_D_real: -0.017851 Loss_D_fake 0.003686
[1047/5000][405/535][107983] Loss_D: -0.022574 Loss_G: 0.011978 Loss_D_real: -0.009826 Loss_D_fake 0.012749
[1047/5000][410/535][107984] Loss_D: -0.023450 Loss_G: -0.007528 Loss_D_real: -0.010822 Loss_D_fake 0.012628
[1047/5000][415/535][107985] Loss_D: -0.022141 Loss_G: 0.014481 Loss_D_real: -0.023145 Loss_D_fake -0.001004
[1047/5000][420/535][107986] Loss_D: -0.021411 Loss_G: 0.005531 Loss_D_real: -0.013052 Loss_D_fake 0.008359
[1047/5000][425/535][107987] Loss_D: -0.022760 Loss_G: -0.005698 Loss_D_real: -0.015483 Loss_D_fake 0.007277
[1047/5000][430/535][107988] Loss_D: -0.022088 Loss_G: -0.020530 Loss_D_real: -0.002564 Loss_D_fake 0.019525
[1047/5000][435/535][107989] Loss_D: -0.020053 Loss_G: -0.006116 Loss_D_real: 0.005347 Loss_D_fake 0.025400
[1047/5000][440/535][107990] Loss_D: -0.022864 Loss_G: 0.010430 Loss_D_real: -0.019705 Loss_D_fake 0.003159
[1047/5000][445/535][107991] Loss_D: -0.021477 Loss_G: 0.013466 Loss_D_real: -0.021548 Loss_D_fake -0.000071
[1047/5000][450/535][107992] Loss_D: -0.022959 Loss_G: 0.018419 Loss_D_real: -0.015455 Loss_D_fake 0.007504
[1047/5000][455/535][107993] Loss_D: -0.023663 Loss_G: 0.017358 Loss_D_real: -0.023889 Loss_D_fake -0.000225
[1047/5000][460/535][107994] Loss_D: -0.024877 Loss_G: 0.006245 Loss_D_real: -0.004804 Loss_D_fake 0.020072
[1047/5000][465/535][107995] Loss_D: -0.022967 Loss_G: 0.027133 Loss_D_real: -0.027251 Loss_D_fake -0.004284
[1047/5000][470/535][107996] Loss_D: -0.022818 Loss_G: 0.007696 Loss_D_real: -0.027378 Loss_D_fake -0.004560
[1047/5000][475/535][107997] Loss_D: -0.020653 Loss_G: 0.022079 Loss_D_real: -0.020258 Loss_D_fake 0.000395
[1047/5000][480/535][107998] Loss_D: -0.022645 Loss_G: 0.010941 Loss_D_real: -0.016038 Loss_D_fake 0.006607
[1047/5000][485/535][107999] Loss_D: -0.023022 Loss_G: 0.003539 Loss_D_real: -0.012720 Loss_D_fake 0.010302
[1047/5000][490/535][108000] Loss_D: -0.023349 Loss_G: 0.014468 Loss_D_real: -0.020807 Loss_D_fake 0.002542
[1047/5000][535/535][108001] Loss_D: -0.017809 Loss_G: 0.024347 Loss_D_real: -0.032571 Loss_D_fake -0.014762
[1048/5000][5/535][108002] Loss_D: -0.023167 Loss_G: 0.004383 Loss_D_real: -0.013359 Loss_D_fake 0.009808
[1048/5000][10/535][108003] Loss_D: -0.021263 Loss_G: 0.005583 Loss_D_real: -0.025272 Loss_D_fake -0.004009
[1048/5000][15/535][108004] Loss_D: -0.022568 Loss_G: 0.002125 Loss_D_real: -0.016675 Loss_D_fake 0.005893
[1048/5000][20/535][108005] Loss_D: -0.020081 Loss_G: 0.016133 Loss_D_real: -0.027924 Loss_D_fake -0.007842
[1048/5000][25/535][108006] Loss_D: -0.022230 Loss_G: 0.018161 Loss_D_real: -0.027255 Loss_D_fake -0.005025
[1048/5000][30/535][108007] Loss_D: -0.021742 Loss_G: -0.012961 Loss_D_real: -0.010157 Loss_D_fake 0.011586
[1048/5000][35/535][108008] Loss_D: -0.022236 Loss_G: 0.020404 Loss_D_real: -0.026268 Loss_D_fake -0.004032
[1048/5000][40/535][108009] Loss_D: -0.022855 Loss_G: 0.007804 Loss_D_real: -0.021416 Loss_D_fake 0.001439
[1048/5000][45/535][108010] Loss_D: -0.021406 Loss_G: 0.006531 Loss_D_real: -0.035545 Loss_D_fake -0.014139
[1048/5000][50/535][108011] Loss_D: -0.022372 Loss_G: 0.008433 Loss_D_real: -0.020309 Loss_D_fake 0.002064
[1048/5000][55/535][108012] Loss_D: -0.021812 Loss_G: 0.014419 Loss_D_real: -0.032763 Loss_D_fake -0.010950
[1048/5000][60/535][108013] Loss_D: -0.022694 Loss_G: 0.015054 Loss_D_real: -0.028193 Loss_D_fake -0.005499
[1048/5000][65/535][108014] Loss_D: -0.024546 Loss_G: 0.021269 Loss_D_real: -0.016093 Loss_D_fake 0.008452
[1048/5000][70/535][108015] Loss_D: -0.021888 Loss_G: 0.005619 Loss_D_real: -0.024411 Loss_D_fake -0.002523
[1048/5000][75/535][108016] Loss_D: -0.022057 Loss_G: -0.001986 Loss_D_real: -0.011231 Loss_D_fake 0.010826
[1048/5000][80/535][108017] Loss_D: -0.021476 Loss_G: 0.017603 Loss_D_real: -0.016776 Loss_D_fake 0.004700
[1048/5000][85/535][108018] Loss_D: -0.021481 Loss_G: -0.010912 Loss_D_real: -0.001502 Loss_D_fake 0.019979
[1048/5000][90/535][108019] Loss_D: -0.022914 Loss_G: 0.009459 Loss_D_real: -0.022540 Loss_D_fake 0.000374
[1048/5000][95/535][108020] Loss_D: -0.021856 Loss_G: -0.008034 Loss_D_real: -0.010771 Loss_D_fake 0.011085
[1048/5000][100/535][108021] Loss_D: -0.022372 Loss_G: 0.011601 Loss_D_real: -0.034433 Loss_D_fake -0.012061
[1048/5000][105/535][108022] Loss_D: -0.022612 Loss_G: 0.021568 Loss_D_real: -0.021226 Loss_D_fake 0.001386
[1048/5000][110/535][108023] Loss_D: -0.021680 Loss_G: 0.027886 Loss_D_real: -0.024463 Loss_D_fake -0.002783
[1048/5000][115/535][108024] Loss_D: -0.022194 Loss_G: 0.013553 Loss_D_real: -0.030373 Loss_D_fake -0.008179
[1048/5000][120/535][108025] Loss_D: -0.021285 Loss_G: 0.024087 Loss_D_real: -0.036824 Loss_D_fake -0.015539
[1048/5000][125/535][108026] Loss_D: -0.021005 Loss_G: 0.026904 Loss_D_real: -0.028011 Loss_D_fake -0.007007
[1048/5000][130/535][108027] Loss_D: -0.023508 Loss_G: -0.002566 Loss_D_real: -0.023822 Loss_D_fake -0.000314
[1048/5000][135/535][108028] Loss_D: -0.023191 Loss_G: 0.010772 Loss_D_real: -0.016794 Loss_D_fake 0.006397
[1048/5000][140/535][108029] Loss_D: -0.022210 Loss_G: 0.019702 Loss_D_real: -0.019226 Loss_D_fake 0.002983
[1048/5000][145/535][108030] Loss_D: -0.021169 Loss_G: 0.016906 Loss_D_real: -0.032361 Loss_D_fake -0.011193
[1048/5000][150/535][108031] Loss_D: -0.021511 Loss_G: 0.003477 Loss_D_real: -0.019657 Loss_D_fake 0.001854
[1048/5000][155/535][108032] Loss_D: -0.021550 Loss_G: -0.003293 Loss_D_real: -0.018837 Loss_D_fake 0.002714
[1048/5000][160/535][108033] Loss_D: -0.019857 Loss_G: 0.028183 Loss_D_real: -0.033820 Loss_D_fake -0.013963
[1048/5000][165/535][108034] Loss_D: -0.021384 Loss_G: 0.008563 Loss_D_real: -0.026046 Loss_D_fake -0.004663
[1048/5000][170/535][108035] Loss_D: -0.022272 Loss_G: -0.005020 Loss_D_real: -0.021429 Loss_D_fake 0.000842
[1048/5000][175/535][108036] Loss_D: -0.021443 Loss_G: 0.024695 Loss_D_real: -0.029609 Loss_D_fake -0.008167
[1048/5000][180/535][108037] Loss_D: -0.022934 Loss_G: 0.010786 Loss_D_real: -0.015061 Loss_D_fake 0.007873
[1048/5000][185/535][108038] Loss_D: -0.022780 Loss_G: 0.008488 Loss_D_real: -0.020225 Loss_D_fake 0.002555
[1048/5000][190/535][108039] Loss_D: -0.023408 Loss_G: 0.005557 Loss_D_real: -0.010472 Loss_D_fake 0.012936
[1048/5000][195/535][108040] Loss_D: -0.023108 Loss_G: 0.022209 Loss_D_real: -0.026267 Loss_D_fake -0.003159
[1048/5000][200/535][108041] Loss_D: -0.022783 Loss_G: -0.002858 Loss_D_real: -0.022496 Loss_D_fake 0.000287
[1048/5000][205/535][108042] Loss_D: -0.022330 Loss_G: 0.008982 Loss_D_real: -0.018957 Loss_D_fake 0.003373
[1048/5000][210/535][108043] Loss_D: -0.021882 Loss_G: -0.017572 Loss_D_real: 0.002702 Loss_D_fake 0.024584
[1048/5000][215/535][108044] Loss_D: -0.022505 Loss_G: 0.002917 Loss_D_real: -0.013670 Loss_D_fake 0.008835
[1048/5000][220/535][108045] Loss_D: -0.022521 Loss_G: -0.002358 Loss_D_real: -0.014700 Loss_D_fake 0.007821
[1048/5000][225/535][108046] Loss_D: -0.023299 Loss_G: 0.023822 Loss_D_real: -0.023088 Loss_D_fake 0.000211
[1048/5000][230/535][108047] Loss_D: -0.020972 Loss_G: 0.008914 Loss_D_real: -0.016600 Loss_D_fake 0.004371
[1048/5000][235/535][108048] Loss_D: -0.022993 Loss_G: 0.023638 Loss_D_real: -0.022241 Loss_D_fake 0.000751
[1048/5000][240/535][108049] Loss_D: -0.020607 Loss_G: 0.026963 Loss_D_real: -0.036528 Loss_D_fake -0.015921
[1048/5000][245/535][108050] Loss_D: -0.021808 Loss_G: -0.023835 Loss_D_real: -0.001714 Loss_D_fake 0.020094
[1048/5000][250/535][108051] Loss_D: -0.022832 Loss_G: 0.001485 Loss_D_real: -0.021739 Loss_D_fake 0.001092
[1048/5000][255/535][108052] Loss_D: -0.021610 Loss_G: 0.012269 Loss_D_real: -0.024840 Loss_D_fake -0.003230
[1048/5000][260/535][108053] Loss_D: -0.021016 Loss_G: -0.008035 Loss_D_real: -0.008341 Loss_D_fake 0.012675
[1048/5000][265/535][108054] Loss_D: -0.022985 Loss_G: 0.004744 Loss_D_real: -0.015317 Loss_D_fake 0.007667
[1048/5000][270/535][108055] Loss_D: -0.021962 Loss_G: 0.022788 Loss_D_real: -0.028714 Loss_D_fake -0.006752
[1048/5000][275/535][108056] Loss_D: -0.022145 Loss_G: -0.011132 Loss_D_real: -0.015777 Loss_D_fake 0.006367
[1048/5000][280/535][108057] Loss_D: -0.021669 Loss_G: 0.032570 Loss_D_real: -0.030788 Loss_D_fake -0.009119
[1048/5000][285/535][108058] Loss_D: -0.021396 Loss_G: 0.003538 Loss_D_real: -0.014231 Loss_D_fake 0.007164
[1048/5000][290/535][108059] Loss_D: -0.023288 Loss_G: 0.002672 Loss_D_real: -0.014671 Loss_D_fake 0.008617
[1048/5000][295/535][108060] Loss_D: -0.023003 Loss_G: 0.006632 Loss_D_real: -0.018912 Loss_D_fake 0.004092
[1048/5000][300/535][108061] Loss_D: -0.020961 Loss_G: 0.018825 Loss_D_real: -0.034323 Loss_D_fake -0.013363
[1048/5000][305/535][108062] Loss_D: -0.020582 Loss_G: 0.017245 Loss_D_real: -0.019408 Loss_D_fake 0.001174
[1048/5000][310/535][108063] Loss_D: -0.021271 Loss_G: 0.019684 Loss_D_real: -0.030470 Loss_D_fake -0.009199
[1048/5000][315/535][108064] Loss_D: -0.021167 Loss_G: -0.002150 Loss_D_real: -0.011939 Loss_D_fake 0.009228
[1048/5000][320/535][108065] Loss_D: -0.022572 Loss_G: -0.004150 Loss_D_real: -0.018260 Loss_D_fake 0.004311
[1048/5000][325/535][108066] Loss_D: -0.022680 Loss_G: -0.000883 Loss_D_real: -0.016352 Loss_D_fake 0.006328
[1048/5000][330/535][108067] Loss_D: -0.022932 Loss_G: 0.006569 Loss_D_real: -0.018489 Loss_D_fake 0.004443
[1048/5000][335/535][108068] Loss_D: -0.022837 Loss_G: 0.013300 Loss_D_real: -0.011317 Loss_D_fake 0.011520
[1048/5000][340/535][108069] Loss_D: -0.022258 Loss_G: 0.010398 Loss_D_real: -0.022782 Loss_D_fake -0.000524
[1048/5000][345/535][108070] Loss_D: -0.022499 Loss_G: -0.005582 Loss_D_real: -0.005075 Loss_D_fake 0.017424
[1048/5000][350/535][108071] Loss_D: -0.021403 Loss_G: 0.022245 Loss_D_real: -0.027066 Loss_D_fake -0.005663
[1048/5000][355/535][108072] Loss_D: -0.021313 Loss_G: 0.010611 Loss_D_real: -0.018488 Loss_D_fake 0.002825
[1048/5000][360/535][108073] Loss_D: -0.022368 Loss_G: -0.010331 Loss_D_real: -0.004003 Loss_D_fake 0.018365
[1048/5000][365/535][108074] Loss_D: -0.020853 Loss_G: 0.023314 Loss_D_real: -0.029179 Loss_D_fake -0.008326
[1048/5000][370/535][108075] Loss_D: -0.022046 Loss_G: -0.015203 Loss_D_real: 0.001119 Loss_D_fake 0.023165
[1048/5000][375/535][108076] Loss_D: -0.022735 Loss_G: -0.012856 Loss_D_real: -0.009726 Loss_D_fake 0.013009
[1048/5000][380/535][108077] Loss_D: -0.020869 Loss_G: -0.008211 Loss_D_real: 0.001758 Loss_D_fake 0.022627
[1048/5000][385/535][108078] Loss_D: -0.021050 Loss_G: 0.011641 Loss_D_real: -0.017878 Loss_D_fake 0.003172
[1048/5000][390/535][108079] Loss_D: -0.022327 Loss_G: 0.020975 Loss_D_real: -0.032324 Loss_D_fake -0.009997
[1048/5000][395/535][108080] Loss_D: -0.022441 Loss_G: 0.010953 Loss_D_real: -0.010912 Loss_D_fake 0.011529
[1048/5000][400/535][108081] Loss_D: -0.022440 Loss_G: 0.012409 Loss_D_real: -0.030784 Loss_D_fake -0.008343
[1048/5000][405/535][108082] Loss_D: -0.022508 Loss_G: 0.023183 Loss_D_real: -0.030664 Loss_D_fake -0.008156
[1048/5000][410/535][108083] Loss_D: -0.023196 Loss_G: -0.006361 Loss_D_real: -0.007707 Loss_D_fake 0.015489
[1048/5000][415/535][108084] Loss_D: -0.022812 Loss_G: 0.004324 Loss_D_real: -0.021422 Loss_D_fake 0.001390
[1048/5000][420/535][108085] Loss_D: -0.022032 Loss_G: 0.001857 Loss_D_real: -0.014170 Loss_D_fake 0.007863
[1048/5000][425/535][108086] Loss_D: -0.021431 Loss_G: 0.013203 Loss_D_real: -0.028958 Loss_D_fake -0.007527
[1048/5000][430/535][108087] Loss_D: -0.022131 Loss_G: 0.000308 Loss_D_real: -0.012104 Loss_D_fake 0.010026
[1048/5000][435/535][108088] Loss_D: -0.022058 Loss_G: -0.006721 Loss_D_real: -0.009589 Loss_D_fake 0.012469
[1048/5000][440/535][108089] Loss_D: -0.023010 Loss_G: 0.016631 Loss_D_real: -0.025686 Loss_D_fake -0.002676
[1048/5000][445/535][108090] Loss_D: -0.021510 Loss_G: 0.005124 Loss_D_real: -0.023902 Loss_D_fake -0.002392
[1048/5000][450/535][108091] Loss_D: -0.022013 Loss_G: 0.021714 Loss_D_real: -0.033395 Loss_D_fake -0.011382
[1048/5000][455/535][108092] Loss_D: -0.023213 Loss_G: 0.008340 Loss_D_real: -0.023218 Loss_D_fake -0.000005
[1048/5000][460/535][108093] Loss_D: -0.023529 Loss_G: 0.008558 Loss_D_real: -0.002858 Loss_D_fake 0.020671
[1048/5000][465/535][108094] Loss_D: -0.022379 Loss_G: 0.010257 Loss_D_real: -0.017768 Loss_D_fake 0.004611
[1048/5000][470/535][108095] Loss_D: -0.022722 Loss_G: 0.004006 Loss_D_real: -0.003201 Loss_D_fake 0.019521
[1048/5000][475/535][108096] Loss_D: -0.022177 Loss_G: 0.001314 Loss_D_real: -0.022747 Loss_D_fake -0.000570
[1048/5000][480/535][108097] Loss_D: -0.022337 Loss_G: 0.007603 Loss_D_real: -0.015920 Loss_D_fake 0.006417
[1048/5000][485/535][108098] Loss_D: -0.023385 Loss_G: 0.020630 Loss_D_real: -0.029093 Loss_D_fake -0.005707
[1048/5000][490/535][108099] Loss_D: -0.022650 Loss_G: 0.008934 Loss_D_real: -0.014430 Loss_D_fake 0.008220
[1048/5000][495/535][108100] Loss_D: -0.022098 Loss_G: -0.029078 Loss_D_real: 0.004039 Loss_D_fake 0.026136
[1048/5000][500/535][108101] Loss_D: -0.023159 Loss_G: 0.026194 Loss_D_real: -0.027406 Loss_D_fake -0.004247
[1048/5000][505/535][108102] Loss_D: -0.019940 Loss_G: -0.000496 Loss_D_real: -0.014761 Loss_D_fake 0.005179
[1048/5000][510/535][108103] Loss_D: -0.023028 Loss_G: 0.011124 Loss_D_real: -0.006502 Loss_D_fake 0.016525
[1048/5000][515/535][108104] Loss_D: -0.022157 Loss_G: -0.011273 Loss_D_real: -0.003390 Loss_D_fake 0.018766
[1048/5000][520/535][108105] Loss_D: -0.022961 Loss_G: 0.014722 Loss_D_real: -0.026338 Loss_D_fake -0.003376
[1048/5000][525/535][108106] Loss_D: -0.023085 Loss_G: 0.005599 Loss_D_real: -0.014624 Loss_D_fake 0.008461
[1048/5000][530/535][108107] Loss_D: -0.022031 Loss_G: -0.004320 Loss_D_real: -0.019375 Loss_D_fake 0.002656
[1048/5000][535/535][108108] Loss_D: -0.023635 Loss_G: 0.017766 Loss_D_real: -0.023855 Loss_D_fake -0.000220
[1049/5000][5/535][108109] Loss_D: -0.023749 Loss_G: -0.003075 Loss_D_real: -0.012873 Loss_D_fake 0.010876
[1049/5000][10/535][108110] Loss_D: -0.022495 Loss_G: -0.011061 Loss_D_real: -0.017425 Loss_D_fake 0.005070
[1049/5000][15/535][108111] Loss_D: -0.020891 Loss_G: 0.002745 Loss_D_real: -0.015800 Loss_D_fake 0.005092
[1049/5000][20/535][108112] Loss_D: -0.021206 Loss_G: 0.014857 Loss_D_real: -0.024020 Loss_D_fake -0.002814
[1049/5000][25/535][108113] Loss_D: -0.022008 Loss_G: 0.002216 Loss_D_real: -0.000036 Loss_D_fake 0.021972
[1049/5000][30/535][108114] Loss_D: -0.022233 Loss_G: 0.012252 Loss_D_real: -0.031355 Loss_D_fake -0.009122
[1049/5000][35/535][108115] Loss_D: -0.021423 Loss_G: 0.001863 Loss_D_real: -0.014580 Loss_D_fake 0.006843
[1049/5000][40/535][108116] Loss_D: -0.021830 Loss_G: 0.022193 Loss_D_real: -0.020472 Loss_D_fake 0.001358
[1049/5000][45/535][108117] Loss_D: -0.023355 Loss_G: 0.011096 Loss_D_real: -0.020888 Loss_D_fake 0.002467
[1049/5000][50/535][108118] Loss_D: -0.022005 Loss_G: 0.002492 Loss_D_real: -0.022095 Loss_D_fake -0.000090
[1049/5000][55/535][108119] Loss_D: -0.021908 Loss_G: -0.007104 Loss_D_real: -0.009338 Loss_D_fake 0.012569
[1049/5000][60/535][108120] Loss_D: -0.022757 Loss_G: -0.002922 Loss_D_real: -0.013469 Loss_D_fake 0.009288
[1049/5000][65/535][108121] Loss_D: -0.021331 Loss_G: 0.007825 Loss_D_real: -0.010871 Loss_D_fake 0.010460
[1049/5000][70/535][108122] Loss_D: -0.021813 Loss_G: 0.013220 Loss_D_real: -0.005389 Loss_D_fake 0.016424
[1049/5000][75/535][108123] Loss_D: -0.021062 Loss_G: 0.002333 Loss_D_real: -0.005840 Loss_D_fake 0.015222
[1049/5000][80/535][108124] Loss_D: -0.022515 Loss_G: 0.025853 Loss_D_real: -0.021314 Loss_D_fake 0.001201
[1049/5000][85/535][108125] Loss_D: -0.022492 Loss_G: -0.002247 Loss_D_real: -0.010284 Loss_D_fake 0.012208
[1049/5000][90/535][108126] Loss_D: -0.020878 Loss_G: 0.004710 Loss_D_real: -0.008178 Loss_D_fake 0.012700
[1049/5000][95/535][108127] Loss_D: -0.022308 Loss_G: 0.004474 Loss_D_real: -0.010892 Loss_D_fake 0.011416
[1049/5000][100/535][108128] Loss_D: -0.021240 Loss_G: 0.020650 Loss_D_real: -0.026901 Loss_D_fake -0.005661
[1049/5000][105/535][108129] Loss_D: -0.021655 Loss_G: -0.019571 Loss_D_real: -0.003042 Loss_D_fake 0.018612
[1049/5000][110/535][108130] Loss_D: -0.021277 Loss_G: 0.012550 Loss_D_real: -0.027522 Loss_D_fake -0.006245
[1049/5000][115/535][108131] Loss_D: -0.021454 Loss_G: 0.025506 Loss_D_real: -0.034773 Loss_D_fake -0.013319
[1049/5000][120/535][108132] Loss_D: -0.021658 Loss_G: 0.017538 Loss_D_real: -0.020838 Loss_D_fake 0.000820
[1049/5000][125/535][108133] Loss_D: -0.021648 Loss_G: -0.005452 Loss_D_real: -0.011597 Loss_D_fake 0.010051
[1049/5000][130/535][108134] Loss_D: -0.021209 Loss_G: -0.006619 Loss_D_real: -0.018813 Loss_D_fake 0.002395
[1049/5000][135/535][108135] Loss_D: -0.021423 Loss_G: 0.007948 Loss_D_real: -0.015901 Loss_D_fake 0.005522
[1049/5000][140/535][108136] Loss_D: -0.020659 Loss_G: 0.019932 Loss_D_real: -0.032546 Loss_D_fake -0.011888
[1049/5000][145/535][108137] Loss_D: -0.021586 Loss_G: 0.008916 Loss_D_real: -0.010090 Loss_D_fake 0.011496
[1049/5000][150/535][108138] Loss_D: -0.022722 Loss_G: 0.000560 Loss_D_real: -0.012336 Loss_D_fake 0.010386
[1049/5000][155/535][108139] Loss_D: -0.023135 Loss_G: -0.003602 Loss_D_real: -0.014865 Loss_D_fake 0.008269
[1049/5000][160/535][108140] Loss_D: -0.022631 Loss_G: 0.020282 Loss_D_real: -0.017376 Loss_D_fake 0.005256
[1049/5000][165/535][108141] Loss_D: -0.022094 Loss_G: -0.013038 Loss_D_real: -0.003794 Loss_D_fake 0.018299
[1049/5000][170/535][108142] Loss_D: -0.023963 Loss_G: 0.009314 Loss_D_real: 0.000410 Loss_D_fake 0.024373
[1049/5000][175/535][108143] Loss_D: -0.021601 Loss_G: -0.008960 Loss_D_real: -0.006032 Loss_D_fake 0.015570
[1049/5000][180/535][108144] Loss_D: -0.023122 Loss_G: -0.000429 Loss_D_real: -0.002524 Loss_D_fake 0.020598
[1049/5000][185/535][108145] Loss_D: -0.022636 Loss_G: -0.009417 Loss_D_real: -0.005686 Loss_D_fake 0.016949
[1049/5000][190/535][108146] Loss_D: -0.022165 Loss_G: 0.011295 Loss_D_real: -0.026308 Loss_D_fake -0.004143
[1049/5000][195/535][108147] Loss_D: -0.023553 Loss_G: 0.011053 Loss_D_real: -0.011668 Loss_D_fake 0.011884
[1049/5000][200/535][108148] Loss_D: -0.023138 Loss_G: 0.016466 Loss_D_real: -0.021544 Loss_D_fake 0.001593
[1049/5000][205/535][108149] Loss_D: -0.022129 Loss_G: 0.008470 Loss_D_real: -0.015976 Loss_D_fake 0.006153
[1049/5000][210/535][108150] Loss_D: -0.023734 Loss_G: 0.006991 Loss_D_real: -0.026701 Loss_D_fake -0.002967
[1049/5000][215/535][108151] Loss_D: -0.022336 Loss_G: 0.014472 Loss_D_real: -0.014233 Loss_D_fake 0.008103
[1049/5000][220/535][108152] Loss_D: -0.022081 Loss_G: 0.010821 Loss_D_real: -0.036094 Loss_D_fake -0.014013
[1049/5000][225/535][108153] Loss_D: -0.022878 Loss_G: 0.000412 Loss_D_real: -0.006148 Loss_D_fake 0.016729
[1049/5000][230/535][108154] Loss_D: -0.021637 Loss_G: 0.020674 Loss_D_real: -0.022131 Loss_D_fake -0.000495
[1049/5000][235/535][108155] Loss_D: -0.020783 Loss_G: 0.029266 Loss_D_real: -0.034871 Loss_D_fake -0.014088
[1049/5000][240/535][108156] Loss_D: -0.020362 Loss_G: -0.007184 Loss_D_real: -0.007559 Loss_D_fake 0.012802
[1049/5000][245/535][108157] Loss_D: -0.021448 Loss_G: 0.011958 Loss_D_real: -0.024523 Loss_D_fake -0.003075
[1049/5000][250/535][108158] Loss_D: -0.020374 Loss_G: 0.016736 Loss_D_real: -0.023795 Loss_D_fake -0.003421
[1049/5000][255/535][108159] Loss_D: -0.021304 Loss_G: 0.003865 Loss_D_real: -0.027329 Loss_D_fake -0.006026
[1049/5000][260/535][108160] Loss_D: -0.021947 Loss_G: 0.008410 Loss_D_real: -0.005433 Loss_D_fake 0.016514
[1049/5000][265/535][108161] Loss_D: -0.022319 Loss_G: 0.016876 Loss_D_real: -0.031203 Loss_D_fake -0.008884
[1049/5000][270/535][108162] Loss_D: -0.023147 Loss_G: 0.023352 Loss_D_real: -0.023579 Loss_D_fake -0.000433
[1049/5000][275/535][108163] Loss_D: -0.022908 Loss_G: 0.018486 Loss_D_real: -0.038468 Loss_D_fake -0.015560
[1049/5000][280/535][108164] Loss_D: -0.021148 Loss_G: -0.003289 Loss_D_real: -0.019999 Loss_D_fake 0.001148
[1049/5000][285/535][108165] Loss_D: -0.022309 Loss_G: 0.013345 Loss_D_real: -0.015735 Loss_D_fake 0.006573
[1049/5000][290/535][108166] Loss_D: -0.020409 Loss_G: 0.027612 Loss_D_real: -0.028372 Loss_D_fake -0.007963
[1049/5000][295/535][108167] Loss_D: -0.022320 Loss_G: 0.014231 Loss_D_real: -0.012373 Loss_D_fake 0.009947
[1049/5000][300/535][108168] Loss_D: -0.024013 Loss_G: -0.008745 Loss_D_real: -0.019443 Loss_D_fake 0.004570
[1049/5000][305/535][108169] Loss_D: -0.021328 Loss_G: 0.010092 Loss_D_real: -0.021607 Loss_D_fake -0.000280
[1049/5000][310/535][108170] Loss_D: -0.022082 Loss_G: 0.002026 Loss_D_real: -0.006724 Loss_D_fake 0.015359
[1049/5000][315/535][108171] Loss_D: -0.022231 Loss_G: 0.015457 Loss_D_real: -0.028361 Loss_D_fake -0.006130
[1049/5000][320/535][108172] Loss_D: -0.022358 Loss_G: 0.006629 Loss_D_real: -0.008986 Loss_D_fake 0.013372
[1049/5000][325/535][108173] Loss_D: -0.021691 Loss_G: -0.005091 Loss_D_real: -0.010121 Loss_D_fake 0.011569
[1049/5000][330/535][108174] Loss_D: -0.022169 Loss_G: 0.018788 Loss_D_real: -0.026210 Loss_D_fake -0.004041
[1049/5000][335/535][108175] Loss_D: -0.023130 Loss_G: 0.030945 Loss_D_real: -0.030682 Loss_D_fake -0.007552
[1049/5000][340/535][108176] Loss_D: -0.021729 Loss_G: -0.016046 Loss_D_real: -0.000318 Loss_D_fake 0.021411
[1049/5000][345/535][108177] Loss_D: -0.023561 Loss_G: 0.010123 Loss_D_real: -0.009299 Loss_D_fake 0.014262
[1049/5000][350/535][108178] Loss_D: -0.022493 Loss_G: 0.010298 Loss_D_real: -0.028778 Loss_D_fake -0.006285
[1049/5000][355/535][108179] Loss_D: -0.022179 Loss_G: 0.019920 Loss_D_real: -0.031836 Loss_D_fake -0.009657
[1049/5000][360/535][108180] Loss_D: -0.022813 Loss_G: 0.000280 Loss_D_real: -0.010894 Loss_D_fake 0.011919
[1049/5000][365/535][108181] Loss_D: -0.022386 Loss_G: 0.018984 Loss_D_real: -0.023966 Loss_D_fake -0.001580
[1049/5000][370/535][108182] Loss_D: -0.022079 Loss_G: 0.015853 Loss_D_real: -0.026448 Loss_D_fake -0.004369
[1049/5000][375/535][108183] Loss_D: -0.021644 Loss_G: 0.006759 Loss_D_real: -0.015698 Loss_D_fake 0.005946
[1049/5000][380/535][108184] Loss_D: -0.022695 Loss_G: 0.012629 Loss_D_real: -0.020228 Loss_D_fake 0.002467
[1049/5000][385/535][108185] Loss_D: -0.022251 Loss_G: -0.008792 Loss_D_real: 0.001270 Loss_D_fake 0.023521
[1049/5000][390/535][108186] Loss_D: -0.023742 Loss_G: 0.007935 Loss_D_real: -0.025374 Loss_D_fake -0.001633
[1049/5000][395/535][108187] Loss_D: -0.022438 Loss_G: 0.027391 Loss_D_real: -0.034085 Loss_D_fake -0.011648
[1049/5000][400/535][108188] Loss_D: -0.022628 Loss_G: 0.004935 Loss_D_real: -0.019360 Loss_D_fake 0.003268
[1049/5000][405/535][108189] Loss_D: -0.022992 Loss_G: -0.007977 Loss_D_real: -0.007724 Loss_D_fake 0.015268
[1049/5000][410/535][108190] Loss_D: -0.023063 Loss_G: 0.000803 Loss_D_real: -0.014770 Loss_D_fake 0.008293
[1049/5000][415/535][108191] Loss_D: -0.021574 Loss_G: 0.005562 Loss_D_real: -0.013014 Loss_D_fake 0.008560
[1049/5000][420/535][108192] Loss_D: -0.022148 Loss_G: 0.014414 Loss_D_real: -0.025156 Loss_D_fake -0.003009
[1049/5000][425/535][108193] Loss_D: -0.022567 Loss_G: 0.007686 Loss_D_real: -0.022482 Loss_D_fake 0.000085
[1049/5000][430/535][108194] Loss_D: -0.022188 Loss_G: -0.010882 Loss_D_real: -0.003176 Loss_D_fake 0.019012
[1049/5000][435/535][108195] Loss_D: -0.023072 Loss_G: -0.002629 Loss_D_real: -0.011608 Loss_D_fake 0.011464
[1049/5000][440/535][108196] Loss_D: -0.021220 Loss_G: -0.004544 Loss_D_real: -0.005061 Loss_D_fake 0.016159
[1049/5000][445/535][108197] Loss_D: -0.022237 Loss_G: -0.008282 Loss_D_real: -0.010040 Loss_D_fake 0.012197
[1049/5000][450/535][108198] Loss_D: -0.021434 Loss_G: 0.031660 Loss_D_real: -0.035025 Loss_D_fake -0.013591
[1049/5000][455/535][108199] Loss_D: -0.022176 Loss_G: -0.006051 Loss_D_real: -0.005262 Loss_D_fake 0.016914
[1049/5000][460/535][108200] Loss_D: -0.021968 Loss_G: 0.013257 Loss_D_real: -0.017578 Loss_D_fake 0.004390
[1049/5000][465/535][108201] Loss_D: -0.022219 Loss_G: 0.005769 Loss_D_real: -0.013805 Loss_D_fake 0.008415
[1049/5000][470/535][108202] Loss_D: -0.021149 Loss_G: 0.031956 Loss_D_real: -0.029062 Loss_D_fake -0.007913
[1049/5000][475/535][108203] Loss_D: -0.022069 Loss_G: 0.005225 Loss_D_real: -0.021466 Loss_D_fake 0.000604
[1049/5000][480/535][108204] Loss_D: -0.022080 Loss_G: 0.012959 Loss_D_real: -0.018481 Loss_D_fake 0.003598
[1049/5000][485/535][108205] Loss_D: -0.021310 Loss_G: 0.027211 Loss_D_real: -0.033077 Loss_D_fake -0.011767
[1049/5000][490/535][108206] Loss_D: -0.021802 Loss_G: 0.007387 Loss_D_real: -0.007002 Loss_D_fake 0.014800
[1049/5000][495/535][108207] Loss_D: -0.021703 Loss_G: -0.007447 Loss_D_real: 0.000717 Loss_D_fake 0.022420
[1049/5000][500/535][108208] Loss_D: -0.022271 Loss_G: 0.004373 Loss_D_real: -0.024495 Loss_D_fake -0.002225
[1049/5000][505/535][108209] Loss_D: -0.021124 Loss_G: 0.018195 Loss_D_real: -0.034956 Loss_D_fake -0.013832
[1049/5000][510/535][108210] Loss_D: -0.022456 Loss_G: -0.007928 Loss_D_real: -0.008666 Loss_D_fake 0.013791
[1049/5000][515/535][108211] Loss_D: -0.021876 Loss_G: -0.007023 Loss_D_real: -0.012735 Loss_D_fake 0.009141
[1049/5000][520/535][108212] Loss_D: -0.023112 Loss_G: -0.011573 Loss_D_real: -0.017566 Loss_D_fake 0.005546
[1049/5000][525/535][108213] Loss_D: -0.021157 Loss_G: 0.020687 Loss_D_real: -0.031477 Loss_D_fake -0.010320
[1049/5000][530/535][108214] Loss_D: -0.021884 Loss_G: 0.009331 Loss_D_real: -0.016264 Loss_D_fake 0.005619
[1049/5000][535/535][108215] Loss_D: -0.023929 Loss_G: 0.025023 Loss_D_real: -0.034393 Loss_D_fake -0.010463
[1050/5000][5/535][108216] Loss_D: -0.020746 Loss_G: -0.023661 Loss_D_real: -0.005151 Loss_D_fake 0.015595
[1050/5000][10/535][108217] Loss_D: -0.021877 Loss_G: 0.018613 Loss_D_real: -0.026227 Loss_D_fake -0.004350
[1050/5000][15/535][108218] Loss_D: -0.022530 Loss_G: 0.007896 Loss_D_real: -0.009451 Loss_D_fake 0.013079
[1050/5000][20/535][108219] Loss_D: -0.023202 Loss_G: 0.014941 Loss_D_real: -0.022366 Loss_D_fake 0.000836
[1050/5000][25/535][108220] Loss_D: -0.022291 Loss_G: 0.010562 Loss_D_real: -0.013974 Loss_D_fake 0.008317
[1050/5000][30/535][108221] Loss_D: -0.022126 Loss_G: 0.000435 Loss_D_real: -0.013863 Loss_D_fake 0.008264
[1050/5000][35/535][108222] Loss_D: -0.022859 Loss_G: 0.012705 Loss_D_real: -0.037143 Loss_D_fake -0.014284
[1050/5000][40/535][108223] Loss_D: -0.022687 Loss_G: 0.018403 Loss_D_real: -0.012261 Loss_D_fake 0.010426
[1050/5000][45/535][108224] Loss_D: -0.020910 Loss_G: 0.002839 Loss_D_real: -0.008508 Loss_D_fake 0.012401
[1050/5000][50/535][108225] Loss_D: -0.021840 Loss_G: 0.011896 Loss_D_real: -0.011225 Loss_D_fake 0.010615
[1050/5000][55/535][108226] Loss_D: -0.022518 Loss_G: 0.004349 Loss_D_real: -0.012132 Loss_D_fake 0.010386
[1050/5000][60/535][108227] Loss_D: -0.022070 Loss_G: 0.014554 Loss_D_real: -0.019629 Loss_D_fake 0.002441
[1050/5000][65/535][108228] Loss_D: -0.021067 Loss_G: 0.021064 Loss_D_real: -0.023639 Loss_D_fake -0.002572
[1050/5000][70/535][108229] Loss_D: -0.021581 Loss_G: -0.005748 Loss_D_real: -0.004896 Loss_D_fake 0.016685
[1050/5000][75/535][108230] Loss_D: -0.020750 Loss_G: 0.004096 Loss_D_real: -0.017416 Loss_D_fake 0.003334
[1050/5000][80/535][108231] Loss_D: -0.021141 Loss_G: -0.014388 Loss_D_real: 0.006416 Loss_D_fake 0.027557
[1050/5000][85/535][108232] Loss_D: -0.021895 Loss_G: 0.008818 Loss_D_real: -0.023235 Loss_D_fake -0.001340
[1050/5000][90/535][108233] Loss_D: -0.022295 Loss_G: 0.021823 Loss_D_real: -0.023258 Loss_D_fake -0.000963
[1050/5000][95/535][108234] Loss_D: -0.022013 Loss_G: 0.000013 Loss_D_real: -0.026902 Loss_D_fake -0.004889
[1050/5000][100/535][108235] Loss_D: -0.022670 Loss_G: 0.005735 Loss_D_real: -0.019500 Loss_D_fake 0.003170
[1050/5000][105/535][108236] Loss_D: -0.022931 Loss_G: 0.016403 Loss_D_real: -0.030607 Loss_D_fake -0.007676
[1050/5000][110/535][108237] Loss_D: -0.024019 Loss_G: -0.002061 Loss_D_real: -0.013791 Loss_D_fake 0.010228
[1050/5000][115/535][108238] Loss_D: -0.022179 Loss_G: 0.029058 Loss_D_real: -0.028464 Loss_D_fake -0.006285
[1050/5000][120/535][108239] Loss_D: -0.023000 Loss_G: 0.004360 Loss_D_real: -0.009741 Loss_D_fake 0.013258
[1050/5000][125/535][108240] Loss_D: -0.021731 Loss_G: -0.004857 Loss_D_real: 0.002027 Loss_D_fake 0.023759
[1050/5000][130/535][108241] Loss_D: -0.022116 Loss_G: 0.016748 Loss_D_real: -0.031705 Loss_D_fake -0.009589
[1050/5000][135/535][108242] Loss_D: -0.022088 Loss_G: -0.008153 Loss_D_real: -0.004916 Loss_D_fake 0.017172
[1050/5000][140/535][108243] Loss_D: -0.021757 Loss_G: 0.007258 Loss_D_real: -0.015266 Loss_D_fake 0.006491
[1050/5000][145/535][108244] Loss_D: -0.021013 Loss_G: -0.018516 Loss_D_real: 0.001501 Loss_D_fake 0.022514
[1050/5000][150/535][108245] Loss_D: -0.022807 Loss_G: 0.019085 Loss_D_real: -0.031936 Loss_D_fake -0.009129
[1050/5000][155/535][108246] Loss_D: -0.020795 Loss_G: 0.009764 Loss_D_real: -0.016545 Loss_D_fake 0.004249
[1050/5000][160/535][108247] Loss_D: -0.023232 Loss_G: 0.009068 Loss_D_real: -0.013498 Loss_D_fake 0.009734
[1050/5000][165/535][108248] Loss_D: -0.022565 Loss_G: 0.003824 Loss_D_real: -0.017231 Loss_D_fake 0.005333
[1050/5000][170/535][108249] Loss_D: -0.023715 Loss_G: -0.001958 Loss_D_real: -0.009949 Loss_D_fake 0.013766
[1050/5000][175/535][108250] Loss_D: -0.021506 Loss_G: 0.023998 Loss_D_real: -0.026086 Loss_D_fake -0.004580
[1050/5000][180/535][108251] Loss_D: -0.022642 Loss_G: -0.002599 Loss_D_real: -0.013421 Loss_D_fake 0.009221
[1050/5000][185/535][108252] Loss_D: -0.021659 Loss_G: 0.022085 Loss_D_real: -0.030966 Loss_D_fake -0.009307
[1050/5000][190/535][108253] Loss_D: -0.020697 Loss_G: -0.006729 Loss_D_real: -0.006850 Loss_D_fake 0.013847
[1050/5000][195/535][108254] Loss_D: -0.021705 Loss_G: 0.014515 Loss_D_real: -0.024405 Loss_D_fake -0.002700
[1050/5000][200/535][108255] Loss_D: -0.021383 Loss_G: -0.015639 Loss_D_real: 0.001289 Loss_D_fake 0.022672
[1050/5000][205/535][108256] Loss_D: -0.022021 Loss_G: 0.016524 Loss_D_real: -0.030754 Loss_D_fake -0.008733
[1050/5000][210/535][108257] Loss_D: -0.021988 Loss_G: -0.008381 Loss_D_real: -0.009604 Loss_D_fake 0.012385
[1050/5000][215/535][108258] Loss_D: -0.021095 Loss_G: 0.016600 Loss_D_real: -0.023252 Loss_D_fake -0.002157
[1050/5000][220/535][108259] Loss_D: -0.022563 Loss_G: 0.010127 Loss_D_real: -0.012593 Loss_D_fake 0.009970
[1050/5000][225/535][108260] Loss_D: -0.022865 Loss_G: -0.008994 Loss_D_real: -0.008550 Loss_D_fake 0.014316
[1050/5000][230/535][108261] Loss_D: -0.021276 Loss_G: 0.011986 Loss_D_real: -0.018895 Loss_D_fake 0.002381
[1050/5000][235/535][108262] Loss_D: -0.021185 Loss_G: -0.005702 Loss_D_real: -0.009845 Loss_D_fake 0.011340
[1050/5000][240/535][108263] Loss_D: -0.021196 Loss_G: 0.019054 Loss_D_real: -0.029595 Loss_D_fake -0.008399
[1050/5000][245/535][108264] Loss_D: -0.021213 Loss_G: 0.006577 Loss_D_real: -0.019574 Loss_D_fake 0.001639
[1050/5000][250/535][108265] Loss_D: -0.022316 Loss_G: 0.020981 Loss_D_real: -0.025356 Loss_D_fake -0.003040
[1050/5000][255/535][108266] Loss_D: -0.022896 Loss_G: 0.005777 Loss_D_real: -0.018456 Loss_D_fake 0.004440
[1050/5000][260/535][108267] Loss_D: -0.023346 Loss_G: 0.015197 Loss_D_real: -0.027202 Loss_D_fake -0.003856
[1050/5000][265/535][108268] Loss_D: -0.024307 Loss_G: 0.010631 Loss_D_real: -0.010656 Loss_D_fake 0.013650
[1050/5000][270/535][108269] Loss_D: -0.022863 Loss_G: 0.013455 Loss_D_real: -0.024016 Loss_D_fake -0.001153
[1050/5000][275/535][108270] Loss_D: -0.021961 Loss_G: -0.006170 Loss_D_real: -0.015796 Loss_D_fake 0.006166
[1050/5000][280/535][108271] Loss_D: -0.020863 Loss_G: 0.030796 Loss_D_real: -0.027283 Loss_D_fake -0.006420
[1050/5000][285/535][108272] Loss_D: -0.022254 Loss_G: 0.017127 Loss_D_real: -0.021941 Loss_D_fake 0.000313
[1050/5000][290/535][108273] Loss_D: -0.022368 Loss_G: 0.004388 Loss_D_real: -0.019044 Loss_D_fake 0.003323
[1050/5000][295/535][108274] Loss_D: -0.018944 Loss_G: -0.013194 Loss_D_real: 0.002198 Loss_D_fake 0.021142
[1050/5000][300/535][108275] Loss_D: -0.022628 Loss_G: 0.022689 Loss_D_real: -0.019354 Loss_D_fake 0.003274
[1050/5000][305/535][108276] Loss_D: -0.021451 Loss_G: 0.016023 Loss_D_real: -0.037431 Loss_D_fake -0.015980
[1050/5000][310/535][108277] Loss_D: -0.021231 Loss_G: 0.003564 Loss_D_real: -0.015302 Loss_D_fake 0.005929
[1050/5000][315/535][108278] Loss_D: -0.022087 Loss_G: 0.014523 Loss_D_real: -0.031788 Loss_D_fake -0.009701
[1050/5000][320/535][108279] Loss_D: -0.021952 Loss_G: -0.014709 Loss_D_real: -0.002063 Loss_D_fake 0.019888
[1050/5000][325/535][108280] Loss_D: -0.021307 Loss_G: 0.021255 Loss_D_real: -0.018484 Loss_D_fake 0.002823
[1050/5000][330/535][108281] Loss_D: -0.021618 Loss_G: 0.003341 Loss_D_real: -0.009230 Loss_D_fake 0.012387
[1050/5000][335/535][108282] Loss_D: -0.022922 Loss_G: -0.000308 Loss_D_real: -0.017159 Loss_D_fake 0.005763
[1050/5000][340/535][108283] Loss_D: -0.023266 Loss_G: 0.017421 Loss_D_real: -0.018299 Loss_D_fake 0.004967
[1050/5000][345/535][108284] Loss_D: -0.022230 Loss_G: 0.009747 Loss_D_real: -0.014842 Loss_D_fake 0.007388
[1050/5000][350/535][108285] Loss_D: -0.021778 Loss_G: 0.025034 Loss_D_real: -0.025820 Loss_D_fake -0.004042
[1050/5000][355/535][108286] Loss_D: -0.021495 Loss_G: -0.008354 Loss_D_real: -0.007259 Loss_D_fake 0.014235
[1050/5000][360/535][108287] Loss_D: -0.023041 Loss_G: 0.007786 Loss_D_real: -0.023366 Loss_D_fake -0.000324
[1050/5000][365/535][108288] Loss_D: -0.021100 Loss_G: -0.000068 Loss_D_real: 0.000058 Loss_D_fake 0.021158
[1050/5000][370/535][108289] Loss_D: -0.022388 Loss_G: 0.010878 Loss_D_real: -0.018567 Loss_D_fake 0.003821
[1050/5000][375/535][108290] Loss_D: -0.023436 Loss_G: -0.004179 Loss_D_real: -0.025050 Loss_D_fake -0.001615
[1050/5000][380/535][108291] Loss_D: -0.023196 Loss_G: 0.005458 Loss_D_real: -0.017275 Loss_D_fake 0.005921
[1050/5000][385/535][108292] Loss_D: -0.020956 Loss_G: -0.011571 Loss_D_real: 0.004491 Loss_D_fake 0.025447
[1050/5000][390/535][108293] Loss_D: -0.021423 Loss_G: 0.010033 Loss_D_real: -0.019454 Loss_D_fake 0.001969
[1050/5000][395/535][108294] Loss_D: -0.021864 Loss_G: 0.008501 Loss_D_real: -0.014221 Loss_D_fake 0.007643
[1050/5000][400/535][108295] Loss_D: -0.020943 Loss_G: 0.022125 Loss_D_real: -0.021804 Loss_D_fake -0.000861
[1050/5000][405/535][108296] Loss_D: -0.023132 Loss_G: 0.011235 Loss_D_real: -0.015697 Loss_D_fake 0.007435
[1050/5000][410/535][108297] Loss_D: -0.022939 Loss_G: 0.002712 Loss_D_real: -0.015441 Loss_D_fake 0.007498
[1050/5000][415/535][108298] Loss_D: -0.022977 Loss_G: 0.018084 Loss_D_real: -0.022396 Loss_D_fake 0.000582
[1050/5000][420/535][108299] Loss_D: -0.023636 Loss_G: 0.005673 Loss_D_real: -0.021649 Loss_D_fake 0.001987
[1050/5000][425/535][108300] Loss_D: -0.022804 Loss_G: 0.001632 Loss_D_real: -0.016836 Loss_D_fake 0.005968
[1050/5000][430/535][108301] Loss_D: -0.022266 Loss_G: 0.003351 Loss_D_real: -0.026491 Loss_D_fake -0.004225
[1050/5000][435/535][108302] Loss_D: -0.021825 Loss_G: -0.016722 Loss_D_real: -0.007033 Loss_D_fake 0.014793
[1050/5000][440/535][108303] Loss_D: -0.020524 Loss_G: -0.016546 Loss_D_real: -0.002233 Loss_D_fake 0.018291
[1050/5000][445/535][108304] Loss_D: -0.022497 Loss_G: 0.012977 Loss_D_real: -0.019230 Loss_D_fake 0.003267
[1050/5000][450/535][108305] Loss_D: -0.022978 Loss_G: 0.025132 Loss_D_real: -0.034428 Loss_D_fake -0.011449
[1050/5000][455/535][108306] Loss_D: -0.022603 Loss_G: 0.013996 Loss_D_real: -0.025681 Loss_D_fake -0.003078
[1050/5000][460/535][108307] Loss_D: -0.022429 Loss_G: -0.010367 Loss_D_real: 0.005023 Loss_D_fake 0.027452
[1050/5000][465/535][108308] Loss_D: -0.022695 Loss_G: 0.022198 Loss_D_real: -0.020232 Loss_D_fake 0.002463
[1050/5000][470/535][108309] Loss_D: -0.022970 Loss_G: 0.008074 Loss_D_real: -0.028342 Loss_D_fake -0.005373
[1050/5000][475/535][108310] Loss_D: -0.023787 Loss_G: 0.021610 Loss_D_real: -0.013017 Loss_D_fake 0.010770
[1050/5000][480/535][108311] Loss_D: -0.021216 Loss_G: -0.005666 Loss_D_real: -0.014245 Loss_D_fake 0.006971
[1050/5000][485/535][108312] Loss_D: -0.023022 Loss_G: 0.021655 Loss_D_real: -0.034759 Loss_D_fake -0.011737
[1050/5000][490/535][108313] Loss_D: -0.022788 Loss_G: 0.030109 Loss_D_real: -0.030188 Loss_D_fake -0.007400
[1050/5000][495/535][108314] Loss_D: -0.021688 Loss_G: 0.011570 Loss_D_real: -0.023345 Loss_D_fake -0.001657
[1050/5000][500/535][108315] Loss_D: -0.021628 Loss_G: 0.012162 Loss_D_real: -0.032425 Loss_D_fake -0.010797
[1050/5000][505/535][108316] Loss_D: -0.023263 Loss_G: 0.006689 Loss_D_real: -0.020925 Loss_D_fake 0.002338
[1050/5000][510/535][108317] Loss_D: -0.023316 Loss_G: -0.003032 Loss_D_real: -0.006775 Loss_D_fake 0.016540
[1050/5000][515/535][108318] Loss_D: -0.022197 Loss_G: 0.028284 Loss_D_real: -0.021579 Loss_D_fake 0.000618
[1050/5000][520/535][108319] Loss_D: -0.022407 Loss_G: 0.017633 Loss_D_real: -0.024634 Loss_D_fake -0.002227
[1050/5000][525/535][108320] Loss_D: -0.021200 Loss_G: 0.012668 Loss_D_real: -0.011099 Loss_D_fake 0.010100
[1050/5000][530/535][108321] Loss_D: -0.022102 Loss_G: 0.010672 Loss_D_real: -0.022298 Loss_D_fake -0.000196
[1050/5000][535/535][108322] Loss_D: -0.021775 Loss_G: 0.028175 Loss_D_real: -0.029185 Loss_D_fake -0.007410
[1051/5000][5/535][108323] Loss_D: -0.021334 Loss_G: -0.005852 Loss_D_real: -0.003520 Loss_D_fake 0.017814
[1051/5000][10/535][108324] Loss_D: -0.021896 Loss_G: -0.001412 Loss_D_real: -0.013986 Loss_D_fake 0.007910
[1051/5000][15/535][108325] Loss_D: -0.021842 Loss_G: -0.019429 Loss_D_real: -0.014621 Loss_D_fake 0.007221
[1051/5000][20/535][108326] Loss_D: -0.021140 Loss_G: 0.013853 Loss_D_real: -0.032583 Loss_D_fake -0.011443
[1051/5000][25/535][108327] Loss_D: -0.021338 Loss_G: -0.008430 Loss_D_real: 0.000326 Loss_D_fake 0.021664
[1051/5000][30/535][108328] Loss_D: -0.020929 Loss_G: 0.023495 Loss_D_real: -0.020182 Loss_D_fake 0.000747
[1051/5000][35/535][108329] Loss_D: -0.021558 Loss_G: 0.031875 Loss_D_real: -0.027102 Loss_D_fake -0.005544
[1051/5000][40/535][108330] Loss_D: -0.021313 Loss_G: -0.000677 Loss_D_real: -0.005676 Loss_D_fake 0.015637
[1051/5000][45/535][108331] Loss_D: -0.021229 Loss_G: 0.020989 Loss_D_real: -0.026125 Loss_D_fake -0.004896
[1051/5000][50/535][108332] Loss_D: -0.022597 Loss_G: 0.009281 Loss_D_real: -0.029273 Loss_D_fake -0.006677
[1051/5000][55/535][108333] Loss_D: -0.021239 Loss_G: 0.009863 Loss_D_real: -0.019035 Loss_D_fake 0.002204
[1051/5000][60/535][108334] Loss_D: -0.023075 Loss_G: 0.002487 Loss_D_real: -0.014864 Loss_D_fake 0.008211
[1051/5000][65/535][108335] Loss_D: -0.022537 Loss_G: 0.020213 Loss_D_real: -0.024106 Loss_D_fake -0.001569
[1051/5000][70/535][108336] Loss_D: -0.021030 Loss_G: 0.008522 Loss_D_real: -0.027956 Loss_D_fake -0.006926
[1051/5000][75/535][108337] Loss_D: -0.022190 Loss_G: -0.001845 Loss_D_real: -0.003868 Loss_D_fake 0.018322
[1051/5000][80/535][108338] Loss_D: -0.022676 Loss_G: 0.005246 Loss_D_real: -0.030171 Loss_D_fake -0.007495
[1051/5000][85/535][108339] Loss_D: -0.022718 Loss_G: 0.030112 Loss_D_real: -0.028875 Loss_D_fake -0.006157
[1051/5000][90/535][108340] Loss_D: -0.022419 Loss_G: -0.006340 Loss_D_real: -0.021403 Loss_D_fake 0.001016
[1051/5000][95/535][108341] Loss_D: -0.022314 Loss_G: 0.011476 Loss_D_real: -0.025175 Loss_D_fake -0.002860
[1051/5000][100/535][108342] Loss_D: -0.021959 Loss_G: -0.001473 Loss_D_real: -0.013907 Loss_D_fake 0.008053
[1051/5000][105/535][108343] Loss_D: -0.022447 Loss_G: 0.014440 Loss_D_real: -0.023272 Loss_D_fake -0.000825
[1051/5000][110/535][108344] Loss_D: -0.023624 Loss_G: 0.025652 Loss_D_real: -0.025221 Loss_D_fake -0.001597
[1051/5000][115/535][108345] Loss_D: -0.022964 Loss_G: 0.004145 Loss_D_real: -0.015099 Loss_D_fake 0.007865
[1051/5000][120/535][108346] Loss_D: -0.022105 Loss_G: 0.008762 Loss_D_real: -0.026283 Loss_D_fake -0.004178
[1051/5000][125/535][108347] Loss_D: -0.023644 Loss_G: -0.000191 Loss_D_real: -0.015649 Loss_D_fake 0.007994
[1051/5000][130/535][108348] Loss_D: -0.021830 Loss_G: 0.018443 Loss_D_real: -0.023971 Loss_D_fake -0.002141
[1051/5000][135/535][108349] Loss_D: -0.024273 Loss_G: 0.002618 Loss_D_real: -0.019604 Loss_D_fake 0.004668
[1051/5000][140/535][108350] Loss_D: -0.022466 Loss_G: -0.010167 Loss_D_real: 0.000253 Loss_D_fake 0.022720
[1051/5000][145/535][108351] Loss_D: -0.023771 Loss_G: 0.015727 Loss_D_real: -0.027069 Loss_D_fake -0.003298
[1051/5000][150/535][108352] Loss_D: -0.021753 Loss_G: 0.009364 Loss_D_real: -0.022793 Loss_D_fake -0.001040
[1051/5000][155/535][108353] Loss_D: -0.020448 Loss_G: 0.021558 Loss_D_real: -0.038745 Loss_D_fake -0.018297
[1051/5000][160/535][108354] Loss_D: -0.023487 Loss_G: 0.001100 Loss_D_real: -0.022584 Loss_D_fake 0.000903
[1051/5000][165/535][108355] Loss_D: -0.022261 Loss_G: 0.014177 Loss_D_real: -0.015591 Loss_D_fake 0.006670
[1051/5000][170/535][108356] Loss_D: -0.021962 Loss_G: 0.011060 Loss_D_real: -0.028005 Loss_D_fake -0.006044
[1051/5000][175/535][108357] Loss_D: -0.021815 Loss_G: 0.019460 Loss_D_real: -0.026164 Loss_D_fake -0.004349
[1051/5000][180/535][108358] Loss_D: -0.021109 Loss_G: 0.010217 Loss_D_real: -0.039839 Loss_D_fake -0.018730
[1051/5000][185/535][108359] Loss_D: -0.022328 Loss_G: 0.021315 Loss_D_real: -0.025512 Loss_D_fake -0.003184
[1051/5000][190/535][108360] Loss_D: -0.023120 Loss_G: 0.003316 Loss_D_real: -0.006896 Loss_D_fake 0.016224
[1051/5000][195/535][108361] Loss_D: -0.019714 Loss_G: -0.001514 Loss_D_real: -0.003301 Loss_D_fake 0.016413
[1051/5000][200/535][108362] Loss_D: -0.022307 Loss_G: -0.008664 Loss_D_real: -0.018528 Loss_D_fake 0.003778
[1051/5000][205/535][108363] Loss_D: -0.020860 Loss_G: 0.009113 Loss_D_real: -0.023440 Loss_D_fake -0.002580
[1051/5000][210/535][108364] Loss_D: -0.021331 Loss_G: -0.003961 Loss_D_real: -0.000224 Loss_D_fake 0.021108
[1051/5000][215/535][108365] Loss_D: -0.022945 Loss_G: -0.005277 Loss_D_real: -0.006847 Loss_D_fake 0.016098
[1051/5000][220/535][108366] Loss_D: -0.025121 Loss_G: 0.014360 Loss_D_real: -0.014259 Loss_D_fake 0.010862
[1051/5000][225/535][108367] Loss_D: -0.021775 Loss_G: 0.024057 Loss_D_real: -0.022134 Loss_D_fake -0.000360
[1051/5000][230/535][108368] Loss_D: -0.021997 Loss_G: 0.004688 Loss_D_real: -0.015474 Loss_D_fake 0.006523
[1051/5000][235/535][108369] Loss_D: -0.020574 Loss_G: 0.017792 Loss_D_real: -0.028002 Loss_D_fake -0.007428
[1051/5000][240/535][108370] Loss_D: -0.021793 Loss_G: 0.002034 Loss_D_real: -0.012510 Loss_D_fake 0.009282
[1051/5000][245/535][108371] Loss_D: -0.023158 Loss_G: 0.004249 Loss_D_real: -0.023779 Loss_D_fake -0.000621
[1051/5000][250/535][108372] Loss_D: -0.021915 Loss_G: 0.022943 Loss_D_real: -0.027636 Loss_D_fake -0.005721
[1051/5000][255/535][108373] Loss_D: -0.022694 Loss_G: 0.015896 Loss_D_real: -0.012307 Loss_D_fake 0.010386
[1051/5000][260/535][108374] Loss_D: -0.022130 Loss_G: 0.021009 Loss_D_real: -0.038948 Loss_D_fake -0.016818
[1051/5000][265/535][108375] Loss_D: -0.021443 Loss_G: -0.008980 Loss_D_real: -0.008554 Loss_D_fake 0.012889
[1051/5000][270/535][108376] Loss_D: -0.022359 Loss_G: 0.017893 Loss_D_real: -0.015975 Loss_D_fake 0.006384
[1051/5000][275/535][108377] Loss_D: -0.024064 Loss_G: 0.016126 Loss_D_real: -0.020529 Loss_D_fake 0.003536
[1051/5000][280/535][108378] Loss_D: -0.021651 Loss_G: 0.014429 Loss_D_real: -0.033605 Loss_D_fake -0.011954
[1051/5000][285/535][108379] Loss_D: -0.021001 Loss_G: 0.015328 Loss_D_real: -0.026780 Loss_D_fake -0.005779
[1051/5000][290/535][108380] Loss_D: -0.021667 Loss_G: 0.002739 Loss_D_real: -0.007506 Loss_D_fake 0.014161
[1051/5000][295/535][108381] Loss_D: -0.022153 Loss_G: 0.021945 Loss_D_real: -0.018963 Loss_D_fake 0.003191
[1051/5000][300/535][108382] Loss_D: -0.023433 Loss_G: -0.006070 Loss_D_real: -0.010851 Loss_D_fake 0.012582
[1051/5000][305/535][108383] Loss_D: -0.021955 Loss_G: 0.020742 Loss_D_real: -0.023166 Loss_D_fake -0.001211
[1051/5000][310/535][108384] Loss_D: -0.021450 Loss_G: 0.012004 Loss_D_real: -0.027023 Loss_D_fake -0.005573
[1051/5000][315/535][108385] Loss_D: -0.022736 Loss_G: 0.015655 Loss_D_real: -0.013643 Loss_D_fake 0.009094
[1051/5000][320/535][108386] Loss_D: -0.023793 Loss_G: 0.008440 Loss_D_real: -0.018358 Loss_D_fake 0.005435
[1051/5000][325/535][108387] Loss_D: -0.022768 Loss_G: 0.024653 Loss_D_real: -0.030932 Loss_D_fake -0.008164
[1051/5000][330/535][108388] Loss_D: -0.023500 Loss_G: 0.005433 Loss_D_real: -0.020552 Loss_D_fake 0.002948
[1051/5000][335/535][108389] Loss_D: -0.022548 Loss_G: -0.012935 Loss_D_real: -0.002141 Loss_D_fake 0.020407
[1051/5000][340/535][108390] Loss_D: -0.023324 Loss_G: 0.018813 Loss_D_real: -0.023619 Loss_D_fake -0.000295
[1051/5000][345/535][108391] Loss_D: -0.022635 Loss_G: 0.013080 Loss_D_real: -0.028325 Loss_D_fake -0.005689
[1051/5000][350/535][108392] Loss_D: -0.022397 Loss_G: -0.013794 Loss_D_real: -0.007799 Loss_D_fake 0.014599
[1051/5000][355/535][108393] Loss_D: -0.022088 Loss_G: 0.019759 Loss_D_real: -0.026114 Loss_D_fake -0.004026
[1051/5000][360/535][108394] Loss_D: -0.022425 Loss_G: 0.006649 Loss_D_real: -0.004150 Loss_D_fake 0.018276
[1051/5000][365/535][108395] Loss_D: -0.021047 Loss_G: -0.005170 Loss_D_real: 0.003937 Loss_D_fake 0.024984
[1051/5000][370/535][108396] Loss_D: -0.022761 Loss_G: 0.007069 Loss_D_real: -0.019021 Loss_D_fake 0.003740
[1051/5000][375/535][108397] Loss_D: -0.022898 Loss_G: -0.002900 Loss_D_real: -0.013494 Loss_D_fake 0.009405
[1051/5000][380/535][108398] Loss_D: -0.022687 Loss_G: 0.020634 Loss_D_real: -0.027155 Loss_D_fake -0.004468
[1051/5000][385/535][108399] Loss_D: -0.022203 Loss_G: 0.011780 Loss_D_real: -0.020503 Loss_D_fake 0.001700
[1051/5000][390/535][108400] Loss_D: -0.021798 Loss_G: -0.001441 Loss_D_real: -0.025087 Loss_D_fake -0.003288
[1051/5000][395/535][108401] Loss_D: -0.020178 Loss_G: 0.016743 Loss_D_real: -0.023352 Loss_D_fake -0.003174
[1051/5000][400/535][108402] Loss_D: -0.021713 Loss_G: 0.018113 Loss_D_real: -0.028462 Loss_D_fake -0.006749
[1051/5000][405/535][108403] Loss_D: -0.021351 Loss_G: -0.005375 Loss_D_real: -0.001950 Loss_D_fake 0.019401
[1051/5000][410/535][108404] Loss_D: -0.021494 Loss_G: 0.014077 Loss_D_real: -0.017722 Loss_D_fake 0.003772
[1051/5000][415/535][108405] Loss_D: -0.022134 Loss_G: -0.004604 Loss_D_real: -0.006130 Loss_D_fake 0.016004
[1051/5000][420/535][108406] Loss_D: -0.020436 Loss_G: -0.009264 Loss_D_real: 0.005696 Loss_D_fake 0.026132
[1051/5000][425/535][108407] Loss_D: -0.022152 Loss_G: 0.013983 Loss_D_real: -0.019114 Loss_D_fake 0.003038
[1051/5000][430/535][108408] Loss_D: -0.021866 Loss_G: 0.005827 Loss_D_real: -0.018496 Loss_D_fake 0.003370
[1051/5000][435/535][108409] Loss_D: -0.020523 Loss_G: -0.014327 Loss_D_real: 0.001696 Loss_D_fake 0.022219
[1051/5000][440/535][108410] Loss_D: -0.022652 Loss_G: -0.003693 Loss_D_real: -0.008610 Loss_D_fake 0.014042
[1051/5000][445/535][108411] Loss_D: -0.021966 Loss_G: 0.008677 Loss_D_real: -0.014080 Loss_D_fake 0.007886
[1051/5000][450/535][108412] Loss_D: -0.022816 Loss_G: 0.005589 Loss_D_real: -0.012460 Loss_D_fake 0.010356
[1051/5000][455/535][108413] Loss_D: -0.022006 Loss_G: 0.001603 Loss_D_real: -0.011701 Loss_D_fake 0.010305
[1051/5000][460/535][108414] Loss_D: -0.022090 Loss_G: 0.015568 Loss_D_real: -0.031352 Loss_D_fake -0.009262
[1051/5000][465/535][108415] Loss_D: -0.022151 Loss_G: -0.002563 Loss_D_real: -0.016205 Loss_D_fake 0.005946
[1051/5000][470/535][108416] Loss_D: -0.021926 Loss_G: 0.031394 Loss_D_real: -0.027304 Loss_D_fake -0.005378
[1051/5000][475/535][108417] Loss_D: -0.022121 Loss_G: 0.010120 Loss_D_real: -0.027327 Loss_D_fake -0.005206
[1051/5000][480/535][108418] Loss_D: -0.021040 Loss_G: 0.027397 Loss_D_real: -0.030219 Loss_D_fake -0.009179
[1051/5000][485/535][108419] Loss_D: -0.021514 Loss_G: -0.010851 Loss_D_real: 0.002195 Loss_D_fake 0.023709
[1051/5000][490/535][108420] Loss_D: -0.022264 Loss_G: 0.025898 Loss_D_real: -0.028529 Loss_D_fake -0.006265
[1051/5000][495/535][108421] Loss_D: -0.021191 Loss_G: 0.029343 Loss_D_real: -0.036001 Loss_D_fake -0.014810
[1051/5000][500/535][108422] Loss_D: -0.021792 Loss_G: 0.010033 Loss_D_real: -0.025945 Loss_D_fake -0.004153
[1051/5000][505/535][108423] Loss_D: -0.022157 Loss_G: 0.011483 Loss_D_real: -0.021034 Loss_D_fake 0.001124
[1051/5000][510/535][108424] Loss_D: -0.022796 Loss_G: -0.008388 Loss_D_real: -0.008336 Loss_D_fake 0.014459
[1051/5000][515/535][108425] Loss_D: -0.022108 Loss_G: -0.014897 Loss_D_real: -0.003162 Loss_D_fake 0.018947
[1051/5000][520/535][108426] Loss_D: -0.021624 Loss_G: 0.000365 Loss_D_real: -0.003777 Loss_D_fake 0.017847
[1051/5000][525/535][108427] Loss_D: -0.021469 Loss_G: 0.020532 Loss_D_real: -0.026834 Loss_D_fake -0.005366
[1051/5000][530/535][108428] Loss_D: -0.021787 Loss_G: 0.017920 Loss_D_real: -0.026544 Loss_D_fake -0.004757
[1051/5000][535/535][108429] Loss_D: -0.023527 Loss_G: -0.018033 Loss_D_real: -0.006566 Loss_D_fake 0.016961
[1052/5000][5/535][108430] Loss_D: -0.023557 Loss_G: 0.011696 Loss_D_real: 0.004590 Loss_D_fake 0.028147
[1052/5000][10/535][108431] Loss_D: -0.022678 Loss_G: 0.002679 Loss_D_real: -0.003080 Loss_D_fake 0.019598
[1052/5000][15/535][108432] Loss_D: -0.023737 Loss_G: 0.004034 Loss_D_real: -0.011880 Loss_D_fake 0.011857
[1052/5000][20/535][108433] Loss_D: -0.023041 Loss_G: 0.013513 Loss_D_real: -0.021452 Loss_D_fake 0.001589
[1052/5000][25/535][108434] Loss_D: -0.024475 Loss_G: 0.004628 Loss_D_real: -0.018879 Loss_D_fake 0.005596
[1052/5000][30/535][108435] Loss_D: -0.022729 Loss_G: 0.017656 Loss_D_real: -0.021407 Loss_D_fake 0.001322
[1052/5000][35/535][108436] Loss_D: -0.021687 Loss_G: 0.017163 Loss_D_real: -0.025932 Loss_D_fake -0.004245
[1052/5000][40/535][108437] Loss_D: -0.022032 Loss_G: 0.024509 Loss_D_real: -0.024538 Loss_D_fake -0.002506
[1052/5000][45/535][108438] Loss_D: -0.022088 Loss_G: 0.013409 Loss_D_real: -0.025439 Loss_D_fake -0.003352
[1052/5000][50/535][108439] Loss_D: -0.022481 Loss_G: 0.006246 Loss_D_real: -0.027659 Loss_D_fake -0.005178
[1052/5000][55/535][108440] Loss_D: -0.023297 Loss_G: 0.008163 Loss_D_real: -0.014028 Loss_D_fake 0.009269
[1052/5000][60/535][108441] Loss_D: -0.021232 Loss_G: -0.018440 Loss_D_real: 0.002632 Loss_D_fake 0.023865
[1052/5000][65/535][108442] Loss_D: -0.022118 Loss_G: 0.002459 Loss_D_real: -0.021944 Loss_D_fake 0.000173
[1052/5000][70/535][108443] Loss_D: -0.021466 Loss_G: 0.032259 Loss_D_real: -0.037157 Loss_D_fake -0.015690
[1052/5000][75/535][108444] Loss_D: -0.022510 Loss_G: 0.013225 Loss_D_real: -0.024326 Loss_D_fake -0.001816
[1052/5000][80/535][108445] Loss_D: -0.022627 Loss_G: 0.019313 Loss_D_real: -0.016916 Loss_D_fake 0.005711
[1052/5000][85/535][108446] Loss_D: -0.021066 Loss_G: 0.005730 Loss_D_real: -0.013787 Loss_D_fake 0.007278
[1052/5000][90/535][108447] Loss_D: -0.021915 Loss_G: -0.014684 Loss_D_real: 0.006500 Loss_D_fake 0.028415
[1052/5000][95/535][108448] Loss_D: -0.019617 Loss_G: 0.019520 Loss_D_real: -0.032299 Loss_D_fake -0.012682
[1052/5000][100/535][108449] Loss_D: -0.021360 Loss_G: -0.013783 Loss_D_real: 0.003702 Loss_D_fake 0.025062
[1052/5000][105/535][108450] Loss_D: -0.022492 Loss_G: 0.003920 Loss_D_real: -0.027478 Loss_D_fake -0.004985
[1052/5000][110/535][108451] Loss_D: -0.021438 Loss_G: 0.022855 Loss_D_real: -0.030660 Loss_D_fake -0.009222
[1052/5000][115/535][108452] Loss_D: -0.020637 Loss_G: -0.009303 Loss_D_real: -0.005962 Loss_D_fake 0.014676
[1052/5000][120/535][108453] Loss_D: -0.022568 Loss_G: -0.000027 Loss_D_real: -0.032007 Loss_D_fake -0.009439
[1052/5000][125/535][108454] Loss_D: -0.021647 Loss_G: 0.012786 Loss_D_real: -0.017140 Loss_D_fake 0.004507
[1052/5000][130/535][108455] Loss_D: -0.022836 Loss_G: 0.003634 Loss_D_real: -0.019890 Loss_D_fake 0.002947
[1052/5000][135/535][108456] Loss_D: -0.021941 Loss_G: 0.018902 Loss_D_real: -0.027002 Loss_D_fake -0.005062
[1052/5000][140/535][108457] Loss_D: -0.022371 Loss_G: 0.009349 Loss_D_real: -0.014189 Loss_D_fake 0.008182
[1052/5000][145/535][108458] Loss_D: -0.022418 Loss_G: 0.016607 Loss_D_real: -0.021827 Loss_D_fake 0.000591
[1052/5000][150/535][108459] Loss_D: -0.022838 Loss_G: -0.006860 Loss_D_real: -0.024905 Loss_D_fake -0.002067
[1052/5000][155/535][108460] Loss_D: -0.022410 Loss_G: -0.007891 Loss_D_real: -0.007215 Loss_D_fake 0.015196
[1052/5000][160/535][108461] Loss_D: -0.023158 Loss_G: 0.008748 Loss_D_real: -0.021584 Loss_D_fake 0.001573
[1052/5000][165/535][108462] Loss_D: -0.021686 Loss_G: 0.014433 Loss_D_real: -0.020878 Loss_D_fake 0.000808
[1052/5000][170/535][108463] Loss_D: -0.021621 Loss_G: -0.003863 Loss_D_real: -0.008816 Loss_D_fake 0.012805
[1052/5000][175/535][108464] Loss_D: -0.019724 Loss_G: 0.008477 Loss_D_real: -0.019775 Loss_D_fake -0.000050
[1052/5000][180/535][108465] Loss_D: -0.022837 Loss_G: 0.008220 Loss_D_real: -0.015302 Loss_D_fake 0.007535
[1052/5000][185/535][108466] Loss_D: -0.022193 Loss_G: -0.000379 Loss_D_real: -0.019343 Loss_D_fake 0.002850
[1052/5000][190/535][108467] Loss_D: -0.022445 Loss_G: 0.009126 Loss_D_real: -0.027778 Loss_D_fake -0.005333
[1052/5000][195/535][108468] Loss_D: -0.024166 Loss_G: 0.017980 Loss_D_real: -0.025872 Loss_D_fake -0.001706
[1052/5000][200/535][108469] Loss_D: -0.020733 Loss_G: -0.000801 Loss_D_real: -0.009337 Loss_D_fake 0.011396
[1052/5000][205/535][108470] Loss_D: -0.020914 Loss_G: -0.009055 Loss_D_real: 0.008837 Loss_D_fake 0.029751
[1052/5000][210/535][108471] Loss_D: -0.022623 Loss_G: 0.021405 Loss_D_real: -0.023803 Loss_D_fake -0.001179
[1052/5000][215/535][108472] Loss_D: -0.021674 Loss_G: -0.015805 Loss_D_real: -0.003739 Loss_D_fake 0.017935
[1052/5000][220/535][108473] Loss_D: -0.022396 Loss_G: 0.010200 Loss_D_real: -0.024829 Loss_D_fake -0.002433
[1052/5000][225/535][108474] Loss_D: -0.022806 Loss_G: 0.007612 Loss_D_real: -0.003846 Loss_D_fake 0.018960
[1052/5000][230/535][108475] Loss_D: -0.023415 Loss_G: -0.000764 Loss_D_real: -0.009079 Loss_D_fake 0.014337
[1052/5000][235/535][108476] Loss_D: -0.023940 Loss_G: -0.005117 Loss_D_real: 0.001501 Loss_D_fake 0.025441
[1052/5000][240/535][108477] Loss_D: -0.023680 Loss_G: 0.005343 Loss_D_real: -0.016976 Loss_D_fake 0.006703
[1052/5000][245/535][108478] Loss_D: -0.022485 Loss_G: 0.006485 Loss_D_real: -0.022336 Loss_D_fake 0.000149
[1052/5000][250/535][108479] Loss_D: -0.022444 Loss_G: 0.007506 Loss_D_real: -0.019840 Loss_D_fake 0.002604
[1052/5000][255/535][108480] Loss_D: -0.021986 Loss_G: 0.003544 Loss_D_real: -0.004766 Loss_D_fake 0.017220
[1052/5000][260/535][108481] Loss_D: -0.022010 Loss_G: -0.004174 Loss_D_real: 0.000943 Loss_D_fake 0.022953
[1052/5000][265/535][108482] Loss_D: -0.022267 Loss_G: 0.034696 Loss_D_real: -0.032789 Loss_D_fake -0.010523
[1052/5000][270/535][108483] Loss_D: -0.021241 Loss_G: 0.006082 Loss_D_real: -0.019720 Loss_D_fake 0.001521
[1052/5000][275/535][108484] Loss_D: -0.022519 Loss_G: 0.011359 Loss_D_real: -0.019481 Loss_D_fake 0.003038
[1052/5000][280/535][108485] Loss_D: -0.021817 Loss_G: -0.011852 Loss_D_real: -0.007320 Loss_D_fake 0.014497
[1052/5000][285/535][108486] Loss_D: -0.023917 Loss_G: 0.001291 Loss_D_real: -0.015934 Loss_D_fake 0.007983
[1052/5000][290/535][108487] Loss_D: -0.022115 Loss_G: 0.014389 Loss_D_real: -0.029579 Loss_D_fake -0.007464
[1052/5000][295/535][108488] Loss_D: -0.022330 Loss_G: 0.010044 Loss_D_real: -0.021780 Loss_D_fake 0.000550
[1052/5000][300/535][108489] Loss_D: -0.021027 Loss_G: -0.001164 Loss_D_real: -0.002217 Loss_D_fake 0.018810
[1052/5000][305/535][108490] Loss_D: -0.023198 Loss_G: 0.021140 Loss_D_real: -0.025308 Loss_D_fake -0.002110
[1052/5000][310/535][108491] Loss_D: -0.022001 Loss_G: 0.006673 Loss_D_real: -0.021052 Loss_D_fake 0.000949
[1052/5000][315/535][108492] Loss_D: -0.022419 Loss_G: 0.033696 Loss_D_real: -0.028744 Loss_D_fake -0.006325
[1052/5000][320/535][108493] Loss_D: -0.022213 Loss_G: 0.017797 Loss_D_real: -0.026238 Loss_D_fake -0.004025
[1052/5000][325/535][108494] Loss_D: -0.022189 Loss_G: 0.004796 Loss_D_real: -0.014671 Loss_D_fake 0.007518
[1052/5000][330/535][108495] Loss_D: -0.020639 Loss_G: 0.022591 Loss_D_real: -0.029964 Loss_D_fake -0.009325
[1052/5000][335/535][108496] Loss_D: -0.022476 Loss_G: 0.007214 Loss_D_real: -0.022239 Loss_D_fake 0.000238
[1052/5000][340/535][108497] Loss_D: -0.020851 Loss_G: -0.015626 Loss_D_real: -0.008440 Loss_D_fake 0.012411
[1052/5000][345/535][108498] Loss_D: -0.020837 Loss_G: 0.010816 Loss_D_real: -0.028662 Loss_D_fake -0.007824
[1052/5000][350/535][108499] Loss_D: -0.021654 Loss_G: 0.011319 Loss_D_real: -0.030802 Loss_D_fake -0.009149
[1052/5000][355/535][108500] Loss_D: -0.022135 Loss_G: 0.007713 Loss_D_real: -0.014925 Loss_D_fake 0.007211
[1052/5000][455/535][108501] Loss_D: -0.023873 Loss_G: -0.017178 Loss_D_real: -0.002703 Loss_D_fake 0.021170
[1052/5000][460/535][108502] Loss_D: -0.022401 Loss_G: 0.008021 Loss_D_real: -0.022004 Loss_D_fake 0.000397
[1052/5000][465/535][108503] Loss_D: -0.020155 Loss_G: 0.016386 Loss_D_real: -0.017174 Loss_D_fake 0.002981
[1052/5000][470/535][108504] Loss_D: -0.021175 Loss_G: -0.001930 Loss_D_real: 0.004257 Loss_D_fake 0.025431
[1052/5000][475/535][108505] Loss_D: -0.021431 Loss_G: 0.007490 Loss_D_real: -0.019140 Loss_D_fake 0.002291
[1052/5000][480/535][108506] Loss_D: -0.020508 Loss_G: 0.008460 Loss_D_real: -0.026885 Loss_D_fake -0.006377
[1052/5000][485/535][108507] Loss_D: -0.021216 Loss_G: 0.014314 Loss_D_real: -0.015037 Loss_D_fake 0.006179
[1052/5000][490/535][108508] Loss_D: -0.021913 Loss_G: -0.005147 Loss_D_real: -0.011360 Loss_D_fake 0.010553
[1052/5000][495/535][108509] Loss_D: -0.021897 Loss_G: 0.007388 Loss_D_real: -0.015724 Loss_D_fake 0.006173
[1052/5000][500/535][108510] Loss_D: -0.021113 Loss_G: 0.029500 Loss_D_real: -0.025063 Loss_D_fake -0.003950
[1052/5000][505/535][108511] Loss_D: -0.023649 Loss_G: 0.010516 Loss_D_real: -0.021838 Loss_D_fake 0.001811
[1052/5000][510/535][108512] Loss_D: -0.022949 Loss_G: 0.000306 Loss_D_real: -0.017405 Loss_D_fake 0.005543
[1052/5000][515/535][108513] Loss_D: -0.022645 Loss_G: 0.020237 Loss_D_real: -0.019651 Loss_D_fake 0.002994
[1052/5000][520/535][108514] Loss_D: -0.022797 Loss_G: 0.003428 Loss_D_real: -0.017013 Loss_D_fake 0.005784
[1052/5000][525/535][108515] Loss_D: -0.021912 Loss_G: -0.009438 Loss_D_real: -0.010677 Loss_D_fake 0.011236
[1052/5000][530/535][108516] Loss_D: -0.022010 Loss_G: 0.016388 Loss_D_real: -0.028082 Loss_D_fake -0.006072
[1052/5000][535/535][108517] Loss_D: -0.020640 Loss_G: -0.041042 Loss_D_real: 0.002350 Loss_D_fake 0.022990
[1053/5000][5/535][108518] Loss_D: -0.021276 Loss_G: -0.001771 Loss_D_real: 0.001799 Loss_D_fake 0.023075
[1053/5000][10/535][108519] Loss_D: -0.022730 Loss_G: 0.007522 Loss_D_real: -0.013179 Loss_D_fake 0.009551
[1053/5000][15/535][108520] Loss_D: -0.021563 Loss_G: 0.030435 Loss_D_real: -0.021778 Loss_D_fake -0.000215
[1053/5000][20/535][108521] Loss_D: -0.022593 Loss_G: 0.003143 Loss_D_real: -0.026923 Loss_D_fake -0.004330
[1053/5000][25/535][108522] Loss_D: -0.020112 Loss_G: -0.002413 Loss_D_real: -0.009200 Loss_D_fake 0.010912
[1053/5000][30/535][108523] Loss_D: -0.022502 Loss_G: -0.009234 Loss_D_real: -0.011303 Loss_D_fake 0.011199
[1053/5000][35/535][108524] Loss_D: -0.020878 Loss_G: 0.009364 Loss_D_real: -0.027638 Loss_D_fake -0.006760
[1053/5000][40/535][108525] Loss_D: -0.021884 Loss_G: 0.009934 Loss_D_real: -0.012916 Loss_D_fake 0.008967
[1053/5000][45/535][108526] Loss_D: -0.023501 Loss_G: 0.007291 Loss_D_real: -0.021632 Loss_D_fake 0.001870
[1053/5000][50/535][108527] Loss_D: -0.021555 Loss_G: 0.005830 Loss_D_real: -0.024717 Loss_D_fake -0.003162
[1053/5000][55/535][108528] Loss_D: -0.023809 Loss_G: -0.007205 Loss_D_real: -0.010850 Loss_D_fake 0.012959
[1053/5000][60/535][108529] Loss_D: -0.022530 Loss_G: 0.027338 Loss_D_real: -0.015998 Loss_D_fake 0.006532
[1053/5000][65/535][108530] Loss_D: -0.021900 Loss_G: 0.021491 Loss_D_real: -0.026643 Loss_D_fake -0.004744
[1053/5000][70/535][108531] Loss_D: -0.023386 Loss_G: 0.014027 Loss_D_real: -0.027549 Loss_D_fake -0.004163
[1053/5000][75/535][108532] Loss_D: -0.022520 Loss_G: -0.000721 Loss_D_real: -0.010730 Loss_D_fake 0.011790
[1053/5000][80/535][108533] Loss_D: -0.023320 Loss_G: 0.018124 Loss_D_real: -0.015678 Loss_D_fake 0.007642
[1053/5000][85/535][108534] Loss_D: -0.022345 Loss_G: 0.037670 Loss_D_real: -0.032182 Loss_D_fake -0.009836
[1053/5000][90/535][108535] Loss_D: -0.020861 Loss_G: 0.015955 Loss_D_real: -0.032854 Loss_D_fake -0.011993
[1053/5000][95/535][108536] Loss_D: -0.021518 Loss_G: 0.022927 Loss_D_real: -0.013811 Loss_D_fake 0.007707
[1053/5000][100/535][108537] Loss_D: -0.022690 Loss_G: 0.003155 Loss_D_real: -0.005077 Loss_D_fake 0.017612
[1053/5000][105/535][108538] Loss_D: -0.023263 Loss_G: 0.017166 Loss_D_real: -0.022618 Loss_D_fake 0.000646
[1053/5000][110/535][108539] Loss_D: -0.022653 Loss_G: 0.021687 Loss_D_real: -0.027928 Loss_D_fake -0.005275
[1053/5000][115/535][108540] Loss_D: -0.021860 Loss_G: 0.000889 Loss_D_real: -0.013264 Loss_D_fake 0.008597
[1053/5000][120/535][108541] Loss_D: -0.023364 Loss_G: 0.020603 Loss_D_real: -0.033155 Loss_D_fake -0.009791
[1053/5000][125/535][108542] Loss_D: -0.023909 Loss_G: 0.022752 Loss_D_real: -0.023661 Loss_D_fake 0.000248
[1053/5000][130/535][108543] Loss_D: -0.022426 Loss_G: 0.010358 Loss_D_real: -0.031670 Loss_D_fake -0.009244
[1053/5000][135/535][108544] Loss_D: -0.022573 Loss_G: 0.007387 Loss_D_real: -0.014211 Loss_D_fake 0.008363
[1053/5000][140/535][108545] Loss_D: -0.022026 Loss_G: -0.015240 Loss_D_real: -0.003797 Loss_D_fake 0.018229
[1053/5000][145/535][108546] Loss_D: -0.022914 Loss_G: 0.018578 Loss_D_real: -0.028163 Loss_D_fake -0.005250
[1053/5000][150/535][108547] Loss_D: -0.021985 Loss_G: -0.009843 Loss_D_real: -0.011369 Loss_D_fake 0.010616
[1053/5000][155/535][108548] Loss_D: -0.022457 Loss_G: 0.006734 Loss_D_real: -0.020116 Loss_D_fake 0.002341
[1053/5000][160/535][108549] Loss_D: -0.022399 Loss_G: 0.017738 Loss_D_real: -0.027301 Loss_D_fake -0.004902
[1053/5000][165/535][108550] Loss_D: -0.022809 Loss_G: 0.016090 Loss_D_real: -0.021535 Loss_D_fake 0.001274
[1053/5000][170/535][108551] Loss_D: -0.022191 Loss_G: 0.011727 Loss_D_real: -0.020494 Loss_D_fake 0.001697
[1053/5000][175/535][108552] Loss_D: -0.021177 Loss_G: 0.016960 Loss_D_real: -0.024771 Loss_D_fake -0.003593
[1053/5000][180/535][108553] Loss_D: -0.021903 Loss_G: 0.012900 Loss_D_real: -0.027264 Loss_D_fake -0.005361
[1053/5000][185/535][108554] Loss_D: -0.022931 Loss_G: 0.019530 Loss_D_real: -0.022233 Loss_D_fake 0.000698
[1053/5000][190/535][108555] Loss_D: -0.022068 Loss_G: 0.018441 Loss_D_real: -0.023245 Loss_D_fake -0.001176
[1053/5000][195/535][108556] Loss_D: -0.021883 Loss_G: -0.010394 Loss_D_real: 0.009890 Loss_D_fake 0.031773
[1053/5000][200/535][108557] Loss_D: -0.022761 Loss_G: 0.018654 Loss_D_real: -0.008617 Loss_D_fake 0.014144
[1053/5000][205/535][108558] Loss_D: -0.021849 Loss_G: 0.010161 Loss_D_real: -0.020214 Loss_D_fake 0.001634
[1053/5000][210/535][108559] Loss_D: -0.020652 Loss_G: 0.015719 Loss_D_real: -0.032244 Loss_D_fake -0.011592
[1053/5000][215/535][108560] Loss_D: -0.021896 Loss_G: 0.002853 Loss_D_real: -0.034740 Loss_D_fake -0.012843
[1053/5000][220/535][108561] Loss_D: -0.021666 Loss_G: 0.007212 Loss_D_real: -0.013498 Loss_D_fake 0.008168
[1053/5000][225/535][108562] Loss_D: -0.020141 Loss_G: -0.011316 Loss_D_real: -0.001026 Loss_D_fake 0.019115
[1053/5000][230/535][108563] Loss_D: -0.020889 Loss_G: 0.011122 Loss_D_real: -0.020847 Loss_D_fake 0.000042
[1053/5000][235/535][108564] Loss_D: -0.019802 Loss_G: -0.012830 Loss_D_real: 0.003825 Loss_D_fake 0.023627
[1053/5000][240/535][108565] Loss_D: -0.021140 Loss_G: -0.000499 Loss_D_real: -0.011177 Loss_D_fake 0.009963
[1053/5000][245/535][108566] Loss_D: -0.022422 Loss_G: -0.000392 Loss_D_real: -0.013663 Loss_D_fake 0.008759
[1053/5000][250/535][108567] Loss_D: -0.021941 Loss_G: 0.016807 Loss_D_real: -0.031323 Loss_D_fake -0.009382
[1053/5000][255/535][108568] Loss_D: -0.022384 Loss_G: 0.023304 Loss_D_real: -0.033109 Loss_D_fake -0.010725
[1053/5000][260/535][108569] Loss_D: -0.022766 Loss_G: 0.000498 Loss_D_real: -0.018190 Loss_D_fake 0.004576
[1053/5000][265/535][108570] Loss_D: -0.020768 Loss_G: 0.024220 Loss_D_real: -0.034198 Loss_D_fake -0.013429
[1053/5000][270/535][108571] Loss_D: -0.023151 Loss_G: -0.000413 Loss_D_real: -0.026086 Loss_D_fake -0.002936
[1053/5000][275/535][108572] Loss_D: -0.022079 Loss_G: 0.009708 Loss_D_real: -0.024840 Loss_D_fake -0.002760
[1053/5000][280/535][108573] Loss_D: -0.023552 Loss_G: 0.008432 Loss_D_real: -0.014365 Loss_D_fake 0.009187
[1053/5000][285/535][108574] Loss_D: -0.021056 Loss_G: -0.001606 Loss_D_real: -0.005654 Loss_D_fake 0.015402
[1053/5000][290/535][108575] Loss_D: -0.022115 Loss_G: -0.002513 Loss_D_real: -0.015909 Loss_D_fake 0.006206
[1053/5000][295/535][108576] Loss_D: -0.022336 Loss_G: 0.028169 Loss_D_real: -0.026464 Loss_D_fake -0.004129
[1053/5000][300/535][108577] Loss_D: -0.021780 Loss_G: 0.020064 Loss_D_real: -0.023066 Loss_D_fake -0.001286
[1053/5000][305/535][108578] Loss_D: -0.023118 Loss_G: 0.025054 Loss_D_real: -0.033002 Loss_D_fake -0.009883
[1053/5000][310/535][108579] Loss_D: -0.023435 Loss_G: -0.015837 Loss_D_real: -0.007148 Loss_D_fake 0.016287
[1053/5000][315/535][108580] Loss_D: -0.020389 Loss_G: 0.029948 Loss_D_real: -0.027662 Loss_D_fake -0.007273
[1053/5000][320/535][108581] Loss_D: -0.024478 Loss_G: -0.003866 Loss_D_real: -0.015318 Loss_D_fake 0.009160
[1053/5000][325/535][108582] Loss_D: -0.022323 Loss_G: 0.017514 Loss_D_real: -0.017955 Loss_D_fake 0.004369
[1053/5000][330/535][108583] Loss_D: -0.023794 Loss_G: 0.008070 Loss_D_real: -0.013004 Loss_D_fake 0.010790
[1053/5000][335/535][108584] Loss_D: -0.022079 Loss_G: -0.008902 Loss_D_real: -0.014164 Loss_D_fake 0.007915
[1053/5000][340/535][108585] Loss_D: -0.020672 Loss_G: 0.002601 Loss_D_real: -0.020049 Loss_D_fake 0.000623
[1053/5000][345/535][108586] Loss_D: -0.021462 Loss_G: 0.024550 Loss_D_real: -0.032009 Loss_D_fake -0.010547
[1053/5000][350/535][108587] Loss_D: -0.021442 Loss_G: 0.009237 Loss_D_real: -0.024804 Loss_D_fake -0.003362
[1053/5000][355/535][108588] Loss_D: -0.022476 Loss_G: -0.008023 Loss_D_real: -0.005204 Loss_D_fake 0.017271
[1053/5000][360/535][108589] Loss_D: -0.021574 Loss_G: 0.024817 Loss_D_real: -0.032383 Loss_D_fake -0.010809
[1053/5000][365/535][108590] Loss_D: -0.022429 Loss_G: 0.008406 Loss_D_real: -0.017345 Loss_D_fake 0.005083
[1053/5000][370/535][108591] Loss_D: -0.020989 Loss_G: 0.029849 Loss_D_real: -0.028795 Loss_D_fake -0.007806
[1053/5000][375/535][108592] Loss_D: -0.021060 Loss_G: 0.003753 Loss_D_real: -0.015290 Loss_D_fake 0.005770
[1053/5000][380/535][108593] Loss_D: -0.022567 Loss_G: 0.009314 Loss_D_real: -0.017389 Loss_D_fake 0.005178
[1053/5000][385/535][108594] Loss_D: -0.022198 Loss_G: -0.015888 Loss_D_real: -0.012814 Loss_D_fake 0.009384
[1053/5000][390/535][108595] Loss_D: -0.021533 Loss_G: 0.008520 Loss_D_real: -0.021146 Loss_D_fake 0.000386
[1053/5000][395/535][108596] Loss_D: -0.023281 Loss_G: -0.008773 Loss_D_real: -0.014605 Loss_D_fake 0.008676
[1053/5000][400/535][108597] Loss_D: -0.023090 Loss_G: 0.016500 Loss_D_real: -0.016321 Loss_D_fake 0.006769
[1053/5000][405/535][108598] Loss_D: -0.022114 Loss_G: 0.008290 Loss_D_real: -0.004000 Loss_D_fake 0.018114
[1053/5000][410/535][108599] Loss_D: -0.021634 Loss_G: 0.021619 Loss_D_real: -0.018072 Loss_D_fake 0.003563
[1053/5000][415/535][108600] Loss_D: -0.021931 Loss_G: 0.019872 Loss_D_real: -0.022548 Loss_D_fake -0.000617
[1053/5000][420/535][108601] Loss_D: -0.019139 Loss_G: -0.029451 Loss_D_real: 0.003036 Loss_D_fake 0.022175
[1053/5000][425/535][108602] Loss_D: -0.021938 Loss_G: 0.006625 Loss_D_real: -0.009351 Loss_D_fake 0.012587
[1053/5000][430/535][108603] Loss_D: -0.022239 Loss_G: 0.012897 Loss_D_real: -0.017223 Loss_D_fake 0.005016
[1053/5000][435/535][108604] Loss_D: -0.022044 Loss_G: 0.004007 Loss_D_real: -0.015932 Loss_D_fake 0.006113
[1053/5000][440/535][108605] Loss_D: -0.022204 Loss_G: 0.006225 Loss_D_real: -0.023678 Loss_D_fake -0.001474
[1053/5000][445/535][108606] Loss_D: -0.023216 Loss_G: 0.011223 Loss_D_real: -0.023599 Loss_D_fake -0.000383
[1053/5000][450/535][108607] Loss_D: -0.022612 Loss_G: -0.000989 Loss_D_real: -0.010180 Loss_D_fake 0.012432
[1053/5000][455/535][108608] Loss_D: -0.021035 Loss_G: 0.020239 Loss_D_real: -0.032303 Loss_D_fake -0.011268
[1053/5000][460/535][108609] Loss_D: -0.022338 Loss_G: 0.004867 Loss_D_real: -0.017186 Loss_D_fake 0.005152
[1053/5000][465/535][108610] Loss_D: -0.023354 Loss_G: 0.002897 Loss_D_real: -0.021336 Loss_D_fake 0.002018
[1053/5000][470/535][108611] Loss_D: -0.021821 Loss_G: 0.006573 Loss_D_real: -0.022685 Loss_D_fake -0.000863
[1053/5000][475/535][108612] Loss_D: -0.022679 Loss_G: -0.000391 Loss_D_real: -0.018304 Loss_D_fake 0.004375
[1053/5000][480/535][108613] Loss_D: -0.022969 Loss_G: 0.019282 Loss_D_real: -0.022164 Loss_D_fake 0.000805
[1053/5000][485/535][108614] Loss_D: -0.023272 Loss_G: 0.012065 Loss_D_real: -0.012887 Loss_D_fake 0.010385
[1053/5000][490/535][108615] Loss_D: -0.022969 Loss_G: 0.007350 Loss_D_real: -0.002771 Loss_D_fake 0.020199
[1053/5000][495/535][108616] Loss_D: -0.021931 Loss_G: 0.019889 Loss_D_real: -0.034467 Loss_D_fake -0.012536
[1053/5000][500/535][108617] Loss_D: -0.022551 Loss_G: 0.027112 Loss_D_real: -0.021283 Loss_D_fake 0.001268
[1053/5000][505/535][108618] Loss_D: -0.022691 Loss_G: -0.011624 Loss_D_real: -0.003662 Loss_D_fake 0.019029
[1053/5000][510/535][108619] Loss_D: -0.022974 Loss_G: 0.011267 Loss_D_real: -0.020004 Loss_D_fake 0.002970
[1053/5000][515/535][108620] Loss_D: -0.023413 Loss_G: -0.009460 Loss_D_real: -0.003593 Loss_D_fake 0.019820
[1053/5000][520/535][108621] Loss_D: -0.022911 Loss_G: -0.001212 Loss_D_real: -0.017108 Loss_D_fake 0.005802
[1053/5000][525/535][108622] Loss_D: -0.021788 Loss_G: 0.010000 Loss_D_real: -0.015783 Loss_D_fake 0.006004
[1053/5000][530/535][108623] Loss_D: -0.022363 Loss_G: 0.014271 Loss_D_real: -0.020736 Loss_D_fake 0.001627
[1053/5000][535/535][108624] Loss_D: -0.019800 Loss_G: 0.023676 Loss_D_real: -0.016057 Loss_D_fake 0.003743
[1054/5000][5/535][108625] Loss_D: -0.022830 Loss_G: -0.001217 Loss_D_real: -0.008986 Loss_D_fake 0.013845
[1054/5000][10/535][108626] Loss_D: -0.021175 Loss_G: 0.008459 Loss_D_real: -0.013800 Loss_D_fake 0.007375
[1054/5000][15/535][108627] Loss_D: -0.022393 Loss_G: 0.015752 Loss_D_real: -0.027751 Loss_D_fake -0.005359
[1054/5000][20/535][108628] Loss_D: -0.022469 Loss_G: -0.000626 Loss_D_real: -0.022405 Loss_D_fake 0.000063
[1054/5000][25/535][108629] Loss_D: -0.022312 Loss_G: 0.011851 Loss_D_real: -0.023558 Loss_D_fake -0.001246
[1054/5000][30/535][108630] Loss_D: -0.022942 Loss_G: 0.013114 Loss_D_real: -0.030873 Loss_D_fake -0.007930
[1054/5000][35/535][108631] Loss_D: -0.022844 Loss_G: -0.005047 Loss_D_real: -0.025135 Loss_D_fake -0.002291
[1054/5000][40/535][108632] Loss_D: -0.021927 Loss_G: -0.003084 Loss_D_real: -0.008971 Loss_D_fake 0.012956
[1054/5000][45/535][108633] Loss_D: -0.022675 Loss_G: -0.006190 Loss_D_real: -0.010679 Loss_D_fake 0.011995
[1054/5000][50/535][108634] Loss_D: -0.021369 Loss_G: -0.002644 Loss_D_real: -0.015258 Loss_D_fake 0.006111
[1054/5000][55/535][108635] Loss_D: -0.022966 Loss_G: 0.006684 Loss_D_real: -0.011129 Loss_D_fake 0.011836
[1054/5000][60/535][108636] Loss_D: -0.023113 Loss_G: 0.021754 Loss_D_real: -0.026598 Loss_D_fake -0.003485
[1054/5000][65/535][108637] Loss_D: -0.022644 Loss_G: 0.007933 Loss_D_real: -0.008739 Loss_D_fake 0.013905
[1054/5000][70/535][108638] Loss_D: -0.022020 Loss_G: 0.022209 Loss_D_real: -0.030251 Loss_D_fake -0.008231
[1054/5000][75/535][108639] Loss_D: -0.023502 Loss_G: 0.013893 Loss_D_real: -0.029044 Loss_D_fake -0.005543
[1054/5000][80/535][108640] Loss_D: -0.023830 Loss_G: 0.005073 Loss_D_real: -0.016841 Loss_D_fake 0.006988
[1054/5000][85/535][108641] Loss_D: -0.021909 Loss_G: 0.022357 Loss_D_real: -0.021700 Loss_D_fake 0.000209
[1054/5000][90/535][108642] Loss_D: -0.021299 Loss_G: 0.021118 Loss_D_real: -0.037099 Loss_D_fake -0.015801
[1054/5000][95/535][108643] Loss_D: -0.023619 Loss_G: 0.014366 Loss_D_real: -0.018793 Loss_D_fake 0.004826
[1054/5000][100/535][108644] Loss_D: -0.021990 Loss_G: -0.024315 Loss_D_real: -0.004845 Loss_D_fake 0.017145
[1054/5000][105/535][108645] Loss_D: -0.021749 Loss_G: -0.003500 Loss_D_real: -0.007136 Loss_D_fake 0.014614
[1054/5000][110/535][108646] Loss_D: -0.021555 Loss_G: 0.001185 Loss_D_real: -0.007740 Loss_D_fake 0.013815
[1054/5000][115/535][108647] Loss_D: -0.020294 Loss_G: -0.000684 Loss_D_real: -0.006310 Loss_D_fake 0.013984
[1054/5000][120/535][108648] Loss_D: -0.021587 Loss_G: 0.015659 Loss_D_real: -0.020210 Loss_D_fake 0.001377
[1054/5000][125/535][108649] Loss_D: -0.020944 Loss_G: -0.003824 Loss_D_real: -0.012828 Loss_D_fake 0.008116
[1054/5000][130/535][108650] Loss_D: -0.021514 Loss_G: 0.004477 Loss_D_real: -0.010619 Loss_D_fake 0.010895
[1054/5000][135/535][108651] Loss_D: -0.022851 Loss_G: 0.010095 Loss_D_real: -0.017119 Loss_D_fake 0.005733
[1054/5000][140/535][108652] Loss_D: -0.021281 Loss_G: -0.005646 Loss_D_real: -0.013172 Loss_D_fake 0.008109
[1054/5000][145/535][108653] Loss_D: -0.020883 Loss_G: 0.006971 Loss_D_real: -0.023427 Loss_D_fake -0.002544
[1054/5000][150/535][108654] Loss_D: -0.022077 Loss_G: -0.006128 Loss_D_real: -0.012376 Loss_D_fake 0.009701
[1054/5000][155/535][108655] Loss_D: -0.021842 Loss_G: 0.019262 Loss_D_real: -0.013809 Loss_D_fake 0.008032
[1054/5000][160/535][108656] Loss_D: -0.021731 Loss_G: -0.005519 Loss_D_real: -0.006917 Loss_D_fake 0.014814
[1054/5000][165/535][108657] Loss_D: -0.022943 Loss_G: 0.016022 Loss_D_real: -0.018017 Loss_D_fake 0.004926
[1054/5000][170/535][108658] Loss_D: -0.022550 Loss_G: 0.018411 Loss_D_real: -0.028623 Loss_D_fake -0.006074
[1054/5000][175/535][108659] Loss_D: -0.023074 Loss_G: 0.019015 Loss_D_real: -0.024032 Loss_D_fake -0.000958
[1054/5000][180/535][108660] Loss_D: -0.021729 Loss_G: 0.019628 Loss_D_real: -0.038495 Loss_D_fake -0.016765
[1054/5000][185/535][108661] Loss_D: -0.023797 Loss_G: 0.004818 Loss_D_real: -0.017973 Loss_D_fake 0.005823
[1054/5000][190/535][108662] Loss_D: -0.023429 Loss_G: 0.009630 Loss_D_real: -0.017997 Loss_D_fake 0.005432
[1054/5000][195/535][108663] Loss_D: -0.022942 Loss_G: 0.026774 Loss_D_real: -0.018179 Loss_D_fake 0.004763
[1054/5000][200/535][108664] Loss_D: -0.022629 Loss_G: 0.010534 Loss_D_real: -0.027087 Loss_D_fake -0.004458
[1054/5000][205/535][108665] Loss_D: -0.022726 Loss_G: -0.010319 Loss_D_real: -0.001959 Loss_D_fake 0.020767
[1054/5000][210/535][108666] Loss_D: -0.021724 Loss_G: 0.009641 Loss_D_real: -0.017765 Loss_D_fake 0.003959
[1054/5000][215/535][108667] Loss_D: -0.022880 Loss_G: -0.009972 Loss_D_real: -0.020037 Loss_D_fake 0.002843
[1054/5000][220/535][108668] Loss_D: -0.021082 Loss_G: 0.011155 Loss_D_real: -0.028549 Loss_D_fake -0.007467
[1054/5000][225/535][108669] Loss_D: -0.022256 Loss_G: -0.002805 Loss_D_real: 0.002938 Loss_D_fake 0.025194
[1054/5000][230/535][108670] Loss_D: -0.022172 Loss_G: 0.005550 Loss_D_real: -0.016864 Loss_D_fake 0.005308
[1054/5000][235/535][108671] Loss_D: -0.023096 Loss_G: -0.000882 Loss_D_real: -0.010816 Loss_D_fake 0.012279
[1054/5000][240/535][108672] Loss_D: -0.022607 Loss_G: -0.004429 Loss_D_real: -0.005191 Loss_D_fake 0.017416
[1054/5000][245/535][108673] Loss_D: -0.022513 Loss_G: -0.004636 Loss_D_real: -0.013977 Loss_D_fake 0.008536
[1054/5000][250/535][108674] Loss_D: -0.023405 Loss_G: 0.027961 Loss_D_real: -0.009868 Loss_D_fake 0.013537
[1054/5000][255/535][108675] Loss_D: -0.022231 Loss_G: -0.003114 Loss_D_real: -0.017850 Loss_D_fake 0.004381
[1054/5000][260/535][108676] Loss_D: -0.022595 Loss_G: 0.007965 Loss_D_real: -0.022597 Loss_D_fake -0.000002
[1054/5000][265/535][108677] Loss_D: -0.022073 Loss_G: 0.006305 Loss_D_real: -0.015914 Loss_D_fake 0.006159
[1054/5000][270/535][108678] Loss_D: -0.023264 Loss_G: 0.011696 Loss_D_real: -0.018891 Loss_D_fake 0.004374
[1054/5000][275/535][108679] Loss_D: -0.022680 Loss_G: -0.003157 Loss_D_real: -0.000170 Loss_D_fake 0.022510
[1054/5000][280/535][108680] Loss_D: -0.023333 Loss_G: -0.009063 Loss_D_real: 0.001224 Loss_D_fake 0.024557
[1054/5000][285/535][108681] Loss_D: -0.023042 Loss_G: 0.005738 Loss_D_real: -0.004756 Loss_D_fake 0.018286
[1054/5000][290/535][108682] Loss_D: -0.022809 Loss_G: 0.005269 Loss_D_real: -0.019583 Loss_D_fake 0.003226
[1054/5000][295/535][108683] Loss_D: -0.021213 Loss_G: 0.008006 Loss_D_real: -0.015388 Loss_D_fake 0.005824
[1054/5000][300/535][108684] Loss_D: -0.023146 Loss_G: 0.027505 Loss_D_real: -0.032218 Loss_D_fake -0.009072
[1054/5000][305/535][108685] Loss_D: -0.021154 Loss_G: -0.009030 Loss_D_real: -0.008913 Loss_D_fake 0.012241
[1054/5000][310/535][108686] Loss_D: -0.022185 Loss_G: 0.018649 Loss_D_real: -0.022999 Loss_D_fake -0.000814
[1054/5000][315/535][108687] Loss_D: -0.022568 Loss_G: 0.005861 Loss_D_real: -0.023150 Loss_D_fake -0.000581
[1054/5000][320/535][108688] Loss_D: -0.021752 Loss_G: -0.010467 Loss_D_real: -0.007185 Loss_D_fake 0.014567
[1054/5000][325/535][108689] Loss_D: -0.022369 Loss_G: 0.031854 Loss_D_real: -0.032774 Loss_D_fake -0.010405
[1054/5000][330/535][108690] Loss_D: -0.022383 Loss_G: 0.004368 Loss_D_real: -0.017595 Loss_D_fake 0.004788
[1054/5000][335/535][108691] Loss_D: -0.021819 Loss_G: 0.022429 Loss_D_real: -0.029189 Loss_D_fake -0.007370
[1054/5000][340/535][108692] Loss_D: -0.022676 Loss_G: 0.000109 Loss_D_real: -0.028545 Loss_D_fake -0.005869
[1054/5000][345/535][108693] Loss_D: -0.022748 Loss_G: -0.004194 Loss_D_real: -0.009393 Loss_D_fake 0.013355
[1054/5000][350/535][108694] Loss_D: -0.023778 Loss_G: 0.013121 Loss_D_real: -0.030226 Loss_D_fake -0.006448
[1054/5000][355/535][108695] Loss_D: -0.023682 Loss_G: 0.005504 Loss_D_real: -0.013607 Loss_D_fake 0.010076
[1054/5000][360/535][108696] Loss_D: -0.022637 Loss_G: 0.016722 Loss_D_real: -0.021795 Loss_D_fake 0.000841
[1054/5000][365/535][108697] Loss_D: -0.023332 Loss_G: 0.002655 Loss_D_real: -0.007497 Loss_D_fake 0.015835
[1054/5000][370/535][108698] Loss_D: -0.023327 Loss_G: 0.017384 Loss_D_real: -0.016764 Loss_D_fake 0.006563
[1054/5000][375/535][108699] Loss_D: -0.022391 Loss_G: 0.005153 Loss_D_real: -0.025403 Loss_D_fake -0.003012
[1054/5000][380/535][108700] Loss_D: -0.023116 Loss_G: -0.000029 Loss_D_real: -0.012749 Loss_D_fake 0.010367
[1054/5000][385/535][108701] Loss_D: -0.020337 Loss_G: -0.023022 Loss_D_real: -0.000413 Loss_D_fake 0.019924
[1054/5000][390/535][108702] Loss_D: -0.021471 Loss_G: 0.007305 Loss_D_real: -0.016953 Loss_D_fake 0.004517
[1054/5000][395/535][108703] Loss_D: -0.021772 Loss_G: -0.002889 Loss_D_real: -0.016267 Loss_D_fake 0.005505
[1054/5000][400/535][108704] Loss_D: -0.021949 Loss_G: 0.005780 Loss_D_real: -0.017425 Loss_D_fake 0.004524
[1054/5000][405/535][108705] Loss_D: -0.022263 Loss_G: 0.004873 Loss_D_real: -0.028342 Loss_D_fake -0.006078
[1054/5000][410/535][108706] Loss_D: -0.022861 Loss_G: 0.024492 Loss_D_real: -0.020223 Loss_D_fake 0.002638
[1054/5000][415/535][108707] Loss_D: -0.022773 Loss_G: 0.010121 Loss_D_real: -0.023939 Loss_D_fake -0.001166
[1054/5000][420/535][108708] Loss_D: -0.024521 Loss_G: -0.001532 Loss_D_real: -0.018064 Loss_D_fake 0.006457
[1054/5000][425/535][108709] Loss_D: -0.023342 Loss_G: 0.028795 Loss_D_real: -0.019035 Loss_D_fake 0.004307
[1054/5000][430/535][108710] Loss_D: -0.023766 Loss_G: -0.003059 Loss_D_real: -0.009294 Loss_D_fake 0.014471
[1054/5000][435/535][108711] Loss_D: -0.019797 Loss_G: 0.031365 Loss_D_real: -0.034966 Loss_D_fake -0.015168
[1054/5000][440/535][108712] Loss_D: -0.024465 Loss_G: 0.009041 Loss_D_real: -0.019802 Loss_D_fake 0.004664
[1054/5000][445/535][108713] Loss_D: -0.021510 Loss_G: -0.014996 Loss_D_real: -0.000225 Loss_D_fake 0.021285
[1054/5000][450/535][108714] Loss_D: -0.020964 Loss_G: 0.020792 Loss_D_real: -0.029615 Loss_D_fake -0.008651
[1054/5000][455/535][108715] Loss_D: -0.022334 Loss_G: -0.000116 Loss_D_real: -0.010893 Loss_D_fake 0.011441
[1054/5000][460/535][108716] Loss_D: -0.022283 Loss_G: 0.018058 Loss_D_real: -0.012122 Loss_D_fake 0.010162
[1054/5000][465/535][108717] Loss_D: -0.023435 Loss_G: -0.000536 Loss_D_real: -0.025392 Loss_D_fake -0.001956
[1054/5000][470/535][108718] Loss_D: -0.020070 Loss_G: 0.027183 Loss_D_real: -0.028004 Loss_D_fake -0.007934
[1054/5000][475/535][108719] Loss_D: -0.023869 Loss_G: 0.008415 Loss_D_real: -0.022655 Loss_D_fake 0.001214
[1054/5000][480/535][108720] Loss_D: -0.023353 Loss_G: 0.019258 Loss_D_real: -0.026149 Loss_D_fake -0.002797
[1054/5000][485/535][108721] Loss_D: -0.020431 Loss_G: -0.023537 Loss_D_real: 0.010651 Loss_D_fake 0.031082
[1054/5000][490/535][108722] Loss_D: -0.021531 Loss_G: 0.014962 Loss_D_real: -0.022675 Loss_D_fake -0.001144
[1054/5000][495/535][108723] Loss_D: -0.022024 Loss_G: -0.005306 Loss_D_real: -0.018512 Loss_D_fake 0.003512
[1054/5000][500/535][108724] Loss_D: -0.022673 Loss_G: -0.004474 Loss_D_real: -0.010937 Loss_D_fake 0.011735
[1054/5000][505/535][108725] Loss_D: -0.021875 Loss_G: 0.014407 Loss_D_real: -0.027349 Loss_D_fake -0.005475
[1054/5000][510/535][108726] Loss_D: -0.022466 Loss_G: 0.005721 Loss_D_real: -0.017228 Loss_D_fake 0.005238
[1054/5000][515/535][108727] Loss_D: -0.022203 Loss_G: 0.022497 Loss_D_real: -0.022675 Loss_D_fake -0.000471
[1054/5000][520/535][108728] Loss_D: -0.022561 Loss_G: -0.013700 Loss_D_real: -0.016473 Loss_D_fake 0.006088
[1054/5000][525/535][108729] Loss_D: -0.021624 Loss_G: -0.017431 Loss_D_real: -0.004053 Loss_D_fake 0.017571
[1054/5000][530/535][108730] Loss_D: -0.021930 Loss_G: 0.019411 Loss_D_real: -0.024225 Loss_D_fake -0.002294
[1054/5000][535/535][108731] Loss_D: -0.023114 Loss_G: 0.004852 Loss_D_real: -0.004117 Loss_D_fake 0.018997
[1055/5000][5/535][108732] Loss_D: -0.022124 Loss_G: -0.004027 Loss_D_real: -0.014802 Loss_D_fake 0.007322
[1055/5000][10/535][108733] Loss_D: -0.022694 Loss_G: 0.002932 Loss_D_real: -0.009568 Loss_D_fake 0.013125
[1055/5000][15/535][108734] Loss_D: -0.022843 Loss_G: 0.024917 Loss_D_real: -0.025614 Loss_D_fake -0.002771
[1055/5000][20/535][108735] Loss_D: -0.022896 Loss_G: 0.008465 Loss_D_real: -0.010750 Loss_D_fake 0.012146
[1055/5000][25/535][108736] Loss_D: -0.022416 Loss_G: 0.009792 Loss_D_real: -0.016049 Loss_D_fake 0.006367
[1055/5000][30/535][108737] Loss_D: -0.022430 Loss_G: 0.004905 Loss_D_real: -0.019442 Loss_D_fake 0.002988
[1055/5000][35/535][108738] Loss_D: -0.022631 Loss_G: 0.016549 Loss_D_real: -0.032036 Loss_D_fake -0.009405
[1055/5000][40/535][108739] Loss_D: -0.021923 Loss_G: 0.007783 Loss_D_real: -0.017989 Loss_D_fake 0.003933
[1055/5000][45/535][108740] Loss_D: -0.020653 Loss_G: 0.020480 Loss_D_real: -0.023395 Loss_D_fake -0.002742
[1055/5000][50/535][108741] Loss_D: -0.022266 Loss_G: 0.002372 Loss_D_real: -0.022714 Loss_D_fake -0.000448
[1055/5000][55/535][108742] Loss_D: -0.023021 Loss_G: 0.024000 Loss_D_real: -0.029604 Loss_D_fake -0.006583
[1055/5000][60/535][108743] Loss_D: -0.022594 Loss_G: 0.002010 Loss_D_real: -0.017997 Loss_D_fake 0.004597
[1055/5000][65/535][108744] Loss_D: -0.023494 Loss_G: 0.001308 Loss_D_real: -0.014712 Loss_D_fake 0.008782
[1055/5000][70/535][108745] Loss_D: -0.022359 Loss_G: 0.006000 Loss_D_real: -0.016972 Loss_D_fake 0.005387
[1055/5000][75/535][108746] Loss_D: -0.022305 Loss_G: 0.018482 Loss_D_real: -0.037417 Loss_D_fake -0.015112
[1055/5000][80/535][108747] Loss_D: -0.020826 Loss_G: 0.030417 Loss_D_real: -0.030625 Loss_D_fake -0.009799
[1055/5000][85/535][108748] Loss_D: -0.022429 Loss_G: 0.018719 Loss_D_real: -0.023267 Loss_D_fake -0.000838
[1055/5000][90/535][108749] Loss_D: -0.022015 Loss_G: 0.005999 Loss_D_real: -0.019942 Loss_D_fake 0.002073
[1055/5000][95/535][108750] Loss_D: -0.021672 Loss_G: 0.030012 Loss_D_real: -0.033877 Loss_D_fake -0.012205
[1055/5000][100/535][108751] Loss_D: -0.022902 Loss_G: 0.001505 Loss_D_real: -0.013368 Loss_D_fake 0.009534
[1055/5000][105/535][108752] Loss_D: -0.021394 Loss_G: -0.008804 Loss_D_real: -0.007452 Loss_D_fake 0.013943
[1055/5000][110/535][108753] Loss_D: -0.020743 Loss_G: 0.014260 Loss_D_real: -0.021232 Loss_D_fake -0.000489
[1055/5000][115/535][108754] Loss_D: -0.021742 Loss_G: 0.011374 Loss_D_real: -0.011930 Loss_D_fake 0.009813
[1055/5000][120/535][108755] Loss_D: -0.022234 Loss_G: 0.014070 Loss_D_real: -0.016987 Loss_D_fake 0.005246
[1055/5000][125/535][108756] Loss_D: -0.022678 Loss_G: 0.020213 Loss_D_real: -0.022025 Loss_D_fake 0.000653
[1055/5000][130/535][108757] Loss_D: -0.022338 Loss_G: -0.006752 Loss_D_real: -0.000640 Loss_D_fake 0.021697
[1055/5000][135/535][108758] Loss_D: -0.022754 Loss_G: 0.013349 Loss_D_real: -0.016134 Loss_D_fake 0.006620
[1055/5000][140/535][108759] Loss_D: -0.024276 Loss_G: 0.002723 Loss_D_real: -0.015414 Loss_D_fake 0.008863
[1055/5000][145/535][108760] Loss_D: -0.021518 Loss_G: -0.005300 Loss_D_real: 0.002728 Loss_D_fake 0.024246
[1055/5000][150/535][108761] Loss_D: -0.021887 Loss_G: 0.022818 Loss_D_real: -0.025273 Loss_D_fake -0.003386
[1055/5000][155/535][108762] Loss_D: -0.021749 Loss_G: -0.008981 Loss_D_real: -0.006152 Loss_D_fake 0.015597
[1055/5000][160/535][108763] Loss_D: -0.021093 Loss_G: 0.012429 Loss_D_real: -0.024532 Loss_D_fake -0.003438
[1055/5000][165/535][108764] Loss_D: -0.021381 Loss_G: 0.003425 Loss_D_real: -0.005605 Loss_D_fake 0.015776
[1055/5000][170/535][108765] Loss_D: -0.022765 Loss_G: -0.007542 Loss_D_real: -0.015097 Loss_D_fake 0.007668
[1055/5000][175/535][108766] Loss_D: -0.021271 Loss_G: 0.012175 Loss_D_real: -0.024012 Loss_D_fake -0.002740
[1055/5000][180/535][108767] Loss_D: -0.023032 Loss_G: -0.014361 Loss_D_real: -0.000888 Loss_D_fake 0.022144
[1055/5000][185/535][108768] Loss_D: -0.022591 Loss_G: 0.019174 Loss_D_real: -0.019334 Loss_D_fake 0.003257
[1055/5000][190/535][108769] Loss_D: -0.022188 Loss_G: 0.007575 Loss_D_real: -0.019208 Loss_D_fake 0.002980
[1055/5000][195/535][108770] Loss_D: -0.021022 Loss_G: 0.001964 Loss_D_real: -0.011181 Loss_D_fake 0.009840
[1055/5000][200/535][108771] Loss_D: -0.020867 Loss_G: -0.006497 Loss_D_real: -0.008103 Loss_D_fake 0.012764
[1055/5000][205/535][108772] Loss_D: -0.021718 Loss_G: 0.006059 Loss_D_real: -0.011921 Loss_D_fake 0.009797
[1055/5000][210/535][108773] Loss_D: -0.022091 Loss_G: 0.019350 Loss_D_real: -0.015874 Loss_D_fake 0.006217
[1055/5000][215/535][108774] Loss_D: -0.022317 Loss_G: 0.014212 Loss_D_real: -0.017374 Loss_D_fake 0.004943
[1055/5000][220/535][108775] Loss_D: -0.022063 Loss_G: -0.015452 Loss_D_real: -0.004082 Loss_D_fake 0.017981
[1055/5000][225/535][108776] Loss_D: -0.021482 Loss_G: 0.012661 Loss_D_real: -0.025587 Loss_D_fake -0.004105
[1055/5000][230/535][108777] Loss_D: -0.022769 Loss_G: 0.017353 Loss_D_real: -0.023836 Loss_D_fake -0.001066
[1055/5000][235/535][108778] Loss_D: -0.021820 Loss_G: 0.007833 Loss_D_real: -0.013420 Loss_D_fake 0.008399
[1055/5000][240/535][108779] Loss_D: -0.022966 Loss_G: -0.011304 Loss_D_real: -0.009544 Loss_D_fake 0.013422
[1055/5000][245/535][108780] Loss_D: -0.020902 Loss_G: 0.021643 Loss_D_real: -0.034897 Loss_D_fake -0.013994
[1055/5000][250/535][108781] Loss_D: -0.021787 Loss_G: -0.006803 Loss_D_real: -0.023642 Loss_D_fake -0.001854
[1055/5000][255/535][108782] Loss_D: -0.020617 Loss_G: 0.025786 Loss_D_real: -0.032606 Loss_D_fake -0.011988
[1055/5000][260/535][108783] Loss_D: -0.022105 Loss_G: 0.011222 Loss_D_real: -0.024162 Loss_D_fake -0.002057
[1055/5000][265/535][108784] Loss_D: -0.022388 Loss_G: 0.018008 Loss_D_real: -0.019503 Loss_D_fake 0.002884
[1055/5000][270/535][108785] Loss_D: -0.020507 Loss_G: 0.007873 Loss_D_real: -0.022879 Loss_D_fake -0.002372
[1055/5000][275/535][108786] Loss_D: -0.021935 Loss_G: 0.007748 Loss_D_real: -0.016303 Loss_D_fake 0.005631
[1055/5000][280/535][108787] Loss_D: -0.020229 Loss_G: 0.026568 Loss_D_real: -0.039052 Loss_D_fake -0.018823
[1055/5000][285/535][108788] Loss_D: -0.019437 Loss_G: 0.031756 Loss_D_real: -0.032087 Loss_D_fake -0.012649
[1055/5000][290/535][108789] Loss_D: -0.022129 Loss_G: -0.006293 Loss_D_real: -0.012833 Loss_D_fake 0.009296
[1055/5000][295/535][108790] Loss_D: -0.023130 Loss_G: 0.008811 Loss_D_real: -0.015578 Loss_D_fake 0.007553
[1055/5000][300/535][108791] Loss_D: -0.022509 Loss_G: 0.012698 Loss_D_real: -0.027632 Loss_D_fake -0.005123
[1055/5000][305/535][108792] Loss_D: -0.019415 Loss_G: -0.019059 Loss_D_real: 0.005493 Loss_D_fake 0.024908
[1055/5000][310/535][108793] Loss_D: -0.022137 Loss_G: -0.006147 Loss_D_real: -0.005138 Loss_D_fake 0.016999
[1055/5000][315/535][108794] Loss_D: -0.022395 Loss_G: 0.007351 Loss_D_real: -0.018101 Loss_D_fake 0.004295
[1055/5000][320/535][108795] Loss_D: -0.022261 Loss_G: 0.006075 Loss_D_real: -0.006787 Loss_D_fake 0.015474
[1055/5000][325/535][108796] Loss_D: -0.022517 Loss_G: 0.021054 Loss_D_real: -0.024493 Loss_D_fake -0.001976
[1055/5000][330/535][108797] Loss_D: -0.022260 Loss_G: 0.015946 Loss_D_real: -0.022727 Loss_D_fake -0.000467
[1055/5000][335/535][108798] Loss_D: -0.022188 Loss_G: 0.010839 Loss_D_real: -0.007271 Loss_D_fake 0.014916
[1055/5000][340/535][108799] Loss_D: -0.023619 Loss_G: 0.013058 Loss_D_real: -0.022178 Loss_D_fake 0.001441
[1055/5000][345/535][108800] Loss_D: -0.022688 Loss_G: 0.004937 Loss_D_real: -0.025229 Loss_D_fake -0.002541
[1055/5000][350/535][108801] Loss_D: -0.021286 Loss_G: 0.006188 Loss_D_real: -0.032090 Loss_D_fake -0.010804
[1055/5000][355/535][108802] Loss_D: -0.022067 Loss_G: 0.011784 Loss_D_real: -0.023119 Loss_D_fake -0.001052
[1055/5000][360/535][108803] Loss_D: -0.021785 Loss_G: 0.032113 Loss_D_real: -0.022295 Loss_D_fake -0.000509
[1055/5000][365/535][108804] Loss_D: -0.022410 Loss_G: 0.005456 Loss_D_real: -0.003536 Loss_D_fake 0.018874
[1055/5000][370/535][108805] Loss_D: -0.022479 Loss_G: 0.000195 Loss_D_real: -0.016491 Loss_D_fake 0.005988
[1055/5000][375/535][108806] Loss_D: -0.021866 Loss_G: 0.010885 Loss_D_real: -0.021843 Loss_D_fake 0.000023
[1055/5000][380/535][108807] Loss_D: -0.019882 Loss_G: -0.018674 Loss_D_real: -0.002218 Loss_D_fake 0.017664
[1055/5000][385/535][108808] Loss_D: -0.020447 Loss_G: 0.015916 Loss_D_real: -0.023860 Loss_D_fake -0.003413
[1055/5000][390/535][108809] Loss_D: -0.022001 Loss_G: 0.012892 Loss_D_real: -0.010889 Loss_D_fake 0.011111
[1055/5000][395/535][108810] Loss_D: -0.021558 Loss_G: 0.005023 Loss_D_real: -0.018577 Loss_D_fake 0.002981
[1055/5000][400/535][108811] Loss_D: -0.022253 Loss_G: -0.000310 Loss_D_real: -0.022662 Loss_D_fake -0.000409
[1055/5000][405/535][108812] Loss_D: -0.020407 Loss_G: -0.007091 Loss_D_real: 0.008778 Loss_D_fake 0.029185
[1055/5000][410/535][108813] Loss_D: -0.021895 Loss_G: 0.014901 Loss_D_real: -0.026964 Loss_D_fake -0.005070
[1055/5000][415/535][108814] Loss_D: -0.022753 Loss_G: 0.000460 Loss_D_real: -0.008772 Loss_D_fake 0.013980
[1055/5000][420/535][108815] Loss_D: -0.023254 Loss_G: 0.004486 Loss_D_real: -0.011360 Loss_D_fake 0.011894
[1055/5000][425/535][108816] Loss_D: -0.022987 Loss_G: 0.008279 Loss_D_real: -0.003949 Loss_D_fake 0.019038
[1055/5000][430/535][108817] Loss_D: -0.022234 Loss_G: 0.016036 Loss_D_real: -0.033085 Loss_D_fake -0.010851
[1055/5000][435/535][108818] Loss_D: -0.023813 Loss_G: -0.007173 Loss_D_real: -0.012070 Loss_D_fake 0.011743
[1055/5000][440/535][108819] Loss_D: -0.022593 Loss_G: 0.009815 Loss_D_real: -0.016973 Loss_D_fake 0.005620
[1055/5000][445/535][108820] Loss_D: -0.023306 Loss_G: 0.016327 Loss_D_real: -0.015707 Loss_D_fake 0.007599
[1055/5000][450/535][108821] Loss_D: -0.022804 Loss_G: 0.006283 Loss_D_real: -0.022664 Loss_D_fake 0.000140
[1055/5000][455/535][108822] Loss_D: -0.024513 Loss_G: 0.011307 Loss_D_real: -0.019185 Loss_D_fake 0.005328
[1055/5000][460/535][108823] Loss_D: -0.023664 Loss_G: 0.012493 Loss_D_real: -0.009940 Loss_D_fake 0.013725
[1055/5000][465/535][108824] Loss_D: -0.021619 Loss_G: 0.007528 Loss_D_real: -0.024717 Loss_D_fake -0.003098
[1055/5000][470/535][108825] Loss_D: -0.023542 Loss_G: 0.005324 Loss_D_real: -0.005144 Loss_D_fake 0.018398
[1055/5000][475/535][108826] Loss_D: -0.021767 Loss_G: 0.007493 Loss_D_real: -0.023194 Loss_D_fake -0.001427
[1055/5000][480/535][108827] Loss_D: -0.021983 Loss_G: 0.022294 Loss_D_real: -0.022978 Loss_D_fake -0.000995
[1055/5000][485/535][108828] Loss_D: -0.021881 Loss_G: 0.034730 Loss_D_real: -0.035399 Loss_D_fake -0.013518
[1055/5000][490/535][108829] Loss_D: -0.019573 Loss_G: 0.026921 Loss_D_real: -0.025013 Loss_D_fake -0.005440
[1055/5000][495/535][108830] Loss_D: -0.022806 Loss_G: -0.004208 Loss_D_real: -0.011924 Loss_D_fake 0.010882
[1055/5000][500/535][108831] Loss_D: -0.021973 Loss_G: 0.000482 Loss_D_real: -0.014243 Loss_D_fake 0.007730
[1055/5000][505/535][108832] Loss_D: -0.022244 Loss_G: 0.012937 Loss_D_real: -0.023649 Loss_D_fake -0.001405
[1055/5000][510/535][108833] Loss_D: -0.022580 Loss_G: 0.003372 Loss_D_real: -0.013081 Loss_D_fake 0.009499
[1055/5000][515/535][108834] Loss_D: -0.023998 Loss_G: 0.012171 Loss_D_real: -0.012112 Loss_D_fake 0.011886
[1055/5000][520/535][108835] Loss_D: -0.022792 Loss_G: 0.005309 Loss_D_real: -0.011556 Loss_D_fake 0.011237
[1055/5000][525/535][108836] Loss_D: -0.020938 Loss_G: 0.017157 Loss_D_real: -0.028051 Loss_D_fake -0.007113
[1055/5000][530/535][108837] Loss_D: -0.022026 Loss_G: 0.006833 Loss_D_real: -0.028671 Loss_D_fake -0.006645
[1055/5000][535/535][108838] Loss_D: -0.020256 Loss_G: -0.021735 Loss_D_real: -0.003303 Loss_D_fake 0.016953
[1056/5000][5/535][108839] Loss_D: -0.021402 Loss_G: 0.019697 Loss_D_real: -0.020770 Loss_D_fake 0.000632
[1056/5000][10/535][108840] Loss_D: -0.020235 Loss_G: -0.005278 Loss_D_real: -0.021984 Loss_D_fake -0.001749
[1056/5000][15/535][108841] Loss_D: -0.022210 Loss_G: 0.019736 Loss_D_real: -0.019956 Loss_D_fake 0.002254
[1056/5000][20/535][108842] Loss_D: -0.021334 Loss_G: -0.007169 Loss_D_real: -0.014981 Loss_D_fake 0.006354
[1056/5000][25/535][108843] Loss_D: -0.022558 Loss_G: 0.013046 Loss_D_real: -0.019721 Loss_D_fake 0.002837
[1056/5000][30/535][108844] Loss_D: -0.021633 Loss_G: 0.023252 Loss_D_real: -0.022928 Loss_D_fake -0.001296
[1056/5000][35/535][108845] Loss_D: -0.021520 Loss_G: 0.015676 Loss_D_real: -0.026862 Loss_D_fake -0.005342
[1056/5000][40/535][108846] Loss_D: -0.021536 Loss_G: -0.008341 Loss_D_real: -0.014696 Loss_D_fake 0.006840
[1056/5000][45/535][108847] Loss_D: -0.020250 Loss_G: -0.014968 Loss_D_real: 0.002318 Loss_D_fake 0.022568
[1056/5000][50/535][108848] Loss_D: -0.021805 Loss_G: 0.023461 Loss_D_real: -0.037361 Loss_D_fake -0.015556
[1056/5000][55/535][108849] Loss_D: -0.022198 Loss_G: 0.006871 Loss_D_real: -0.011736 Loss_D_fake 0.010462
[1056/5000][60/535][108850] Loss_D: -0.021437 Loss_G: 0.020734 Loss_D_real: -0.028401 Loss_D_fake -0.006964
[1056/5000][65/535][108851] Loss_D: -0.022254 Loss_G: 0.015641 Loss_D_real: -0.006974 Loss_D_fake 0.015280
[1056/5000][70/535][108852] Loss_D: -0.021442 Loss_G: 0.001604 Loss_D_real: -0.014318 Loss_D_fake 0.007124
[1056/5000][75/535][108853] Loss_D: -0.020993 Loss_G: 0.013586 Loss_D_real: -0.030249 Loss_D_fake -0.009256
[1056/5000][80/535][108854] Loss_D: -0.020652 Loss_G: 0.014671 Loss_D_real: -0.017356 Loss_D_fake 0.003296
[1056/5000][85/535][108855] Loss_D: -0.021342 Loss_G: 0.003867 Loss_D_real: -0.018618 Loss_D_fake 0.002723
[1056/5000][90/535][108856] Loss_D: -0.023378 Loss_G: -0.000697 Loss_D_real: -0.005709 Loss_D_fake 0.017669
[1056/5000][95/535][108857] Loss_D: -0.022734 Loss_G: 0.005240 Loss_D_real: -0.011347 Loss_D_fake 0.011386
[1056/5000][100/535][108858] Loss_D: -0.023174 Loss_G: 0.009213 Loss_D_real: -0.022245 Loss_D_fake 0.000930
[1056/5000][105/535][108859] Loss_D: -0.022395 Loss_G: 0.020497 Loss_D_real: -0.038370 Loss_D_fake -0.015975
[1056/5000][110/535][108860] Loss_D: -0.023133 Loss_G: 0.005613 Loss_D_real: -0.018590 Loss_D_fake 0.004543
[1056/5000][115/535][108861] Loss_D: -0.023013 Loss_G: -0.004986 Loss_D_real: -0.010188 Loss_D_fake 0.012825
[1056/5000][120/535][108862] Loss_D: -0.021872 Loss_G: 0.001616 Loss_D_real: -0.008089 Loss_D_fake 0.013783
[1056/5000][125/535][108863] Loss_D: -0.022015 Loss_G: 0.012007 Loss_D_real: -0.014402 Loss_D_fake 0.007613
[1056/5000][130/535][108864] Loss_D: -0.020418 Loss_G: 0.022681 Loss_D_real: -0.032219 Loss_D_fake -0.011802
[1056/5000][135/535][108865] Loss_D: -0.022562 Loss_G: 0.037084 Loss_D_real: -0.030410 Loss_D_fake -0.007848
[1056/5000][140/535][108866] Loss_D: -0.022250 Loss_G: -0.008758 Loss_D_real: -0.010051 Loss_D_fake 0.012199
[1056/5000][145/535][108867] Loss_D: -0.022236 Loss_G: 0.024465 Loss_D_real: -0.017919 Loss_D_fake 0.004317
[1056/5000][150/535][108868] Loss_D: -0.024035 Loss_G: -0.005506 Loss_D_real: -0.009368 Loss_D_fake 0.014667
[1056/5000][155/535][108869] Loss_D: -0.022985 Loss_G: 0.009118 Loss_D_real: -0.018768 Loss_D_fake 0.004217
[1056/5000][160/535][108870] Loss_D: -0.021921 Loss_G: 0.008537 Loss_D_real: -0.018434 Loss_D_fake 0.003487
[1056/5000][165/535][108871] Loss_D: -0.021796 Loss_G: 0.019886 Loss_D_real: -0.029312 Loss_D_fake -0.007515
[1056/5000][170/535][108872] Loss_D: -0.021941 Loss_G: -0.002332 Loss_D_real: -0.003528 Loss_D_fake 0.018412
[1056/5000][175/535][108873] Loss_D: -0.021640 Loss_G: 0.014811 Loss_D_real: -0.034048 Loss_D_fake -0.012408
[1056/5000][180/535][108874] Loss_D: -0.021649 Loss_G: 0.019953 Loss_D_real: -0.026800 Loss_D_fake -0.005151
[1056/5000][185/535][108875] Loss_D: -0.022838 Loss_G: 0.000911 Loss_D_real: -0.011558 Loss_D_fake 0.011280
[1056/5000][190/535][108876] Loss_D: -0.022462 Loss_G: -0.005818 Loss_D_real: 0.001494 Loss_D_fake 0.023956
[1056/5000][195/535][108877] Loss_D: -0.023118 Loss_G: 0.004517 Loss_D_real: -0.020602 Loss_D_fake 0.002515
[1056/5000][200/535][108878] Loss_D: -0.022814 Loss_G: 0.011516 Loss_D_real: -0.011043 Loss_D_fake 0.011771
[1056/5000][205/535][108879] Loss_D: -0.021930 Loss_G: -0.000786 Loss_D_real: -0.017963 Loss_D_fake 0.003967
[1056/5000][210/535][108880] Loss_D: -0.022059 Loss_G: 0.007321 Loss_D_real: -0.024282 Loss_D_fake -0.002223
[1056/5000][215/535][108881] Loss_D: -0.022532 Loss_G: 0.023069 Loss_D_real: -0.024044 Loss_D_fake -0.001512
[1056/5000][220/535][108882] Loss_D: -0.021033 Loss_G: -0.003988 Loss_D_real: -0.011051 Loss_D_fake 0.009982
[1056/5000][225/535][108883] Loss_D: -0.022726 Loss_G: -0.005462 Loss_D_real: -0.008103 Loss_D_fake 0.014623
[1056/5000][230/535][108884] Loss_D: -0.022149 Loss_G: 0.019501 Loss_D_real: -0.026392 Loss_D_fake -0.004242
[1056/5000][235/535][108885] Loss_D: -0.021941 Loss_G: 0.017448 Loss_D_real: -0.027595 Loss_D_fake -0.005654
[1056/5000][240/535][108886] Loss_D: -0.022436 Loss_G: 0.017472 Loss_D_real: -0.019707 Loss_D_fake 0.002729
[1056/5000][245/535][108887] Loss_D: -0.019816 Loss_G: -0.026734 Loss_D_real: 0.005692 Loss_D_fake 0.025508
[1056/5000][250/535][108888] Loss_D: -0.022640 Loss_G: 0.023903 Loss_D_real: -0.027665 Loss_D_fake -0.005025
[1056/5000][255/535][108889] Loss_D: -0.022890 Loss_G: 0.023824 Loss_D_real: -0.026498 Loss_D_fake -0.003608
[1056/5000][260/535][108890] Loss_D: -0.022505 Loss_G: 0.008442 Loss_D_real: -0.014813 Loss_D_fake 0.007693
[1056/5000][265/535][108891] Loss_D: -0.021243 Loss_G: 0.016845 Loss_D_real: -0.026787 Loss_D_fake -0.005544
[1056/5000][270/535][108892] Loss_D: -0.022143 Loss_G: 0.019532 Loss_D_real: -0.032390 Loss_D_fake -0.010247
[1056/5000][275/535][108893] Loss_D: -0.022750 Loss_G: -0.004585 Loss_D_real: -0.015984 Loss_D_fake 0.006766
[1056/5000][280/535][108894] Loss_D: -0.022091 Loss_G: 0.012074 Loss_D_real: -0.026217 Loss_D_fake -0.004126
[1056/5000][285/535][108895] Loss_D: -0.021362 Loss_G: 0.027014 Loss_D_real: -0.038637 Loss_D_fake -0.017275
[1056/5000][290/535][108896] Loss_D: -0.021235 Loss_G: 0.011322 Loss_D_real: -0.031189 Loss_D_fake -0.009953
[1056/5000][295/535][108897] Loss_D: -0.021455 Loss_G: 0.026638 Loss_D_real: -0.021072 Loss_D_fake 0.000383
[1056/5000][300/535][108898] Loss_D: -0.021996 Loss_G: 0.000504 Loss_D_real: -0.011046 Loss_D_fake 0.010950
[1056/5000][305/535][108899] Loss_D: -0.020711 Loss_G: 0.011300 Loss_D_real: -0.023047 Loss_D_fake -0.002336
[1056/5000][310/535][108900] Loss_D: -0.022800 Loss_G: 0.002045 Loss_D_real: -0.023640 Loss_D_fake -0.000840
[1056/5000][315/535][108901] Loss_D: -0.021628 Loss_G: 0.015566 Loss_D_real: -0.027355 Loss_D_fake -0.005727
[1056/5000][320/535][108902] Loss_D: -0.021226 Loss_G: -0.002406 Loss_D_real: -0.005818 Loss_D_fake 0.015408
[1056/5000][325/535][108903] Loss_D: -0.020729 Loss_G: 0.034886 Loss_D_real: -0.028259 Loss_D_fake -0.007531
[1056/5000][330/535][108904] Loss_D: -0.021651 Loss_G: 0.020775 Loss_D_real: -0.024686 Loss_D_fake -0.003035
[1056/5000][335/535][108905] Loss_D: -0.022223 Loss_G: -0.000575 Loss_D_real: -0.022017 Loss_D_fake 0.000205
[1056/5000][340/535][108906] Loss_D: -0.022253 Loss_G: 0.000034 Loss_D_real: -0.034143 Loss_D_fake -0.011890
[1056/5000][345/535][108907] Loss_D: -0.022473 Loss_G: 0.017741 Loss_D_real: -0.022334 Loss_D_fake 0.000138
[1056/5000][350/535][108908] Loss_D: -0.021809 Loss_G: 0.011936 Loss_D_real: -0.025753 Loss_D_fake -0.003943
[1056/5000][355/535][108909] Loss_D: -0.021382 Loss_G: 0.015365 Loss_D_real: -0.034172 Loss_D_fake -0.012790
[1056/5000][360/535][108910] Loss_D: -0.022552 Loss_G: -0.007331 Loss_D_real: -0.012828 Loss_D_fake 0.009723
[1056/5000][365/535][108911] Loss_D: -0.022393 Loss_G: 0.021124 Loss_D_real: -0.022321 Loss_D_fake 0.000072
[1056/5000][370/535][108912] Loss_D: -0.022163 Loss_G: 0.007132 Loss_D_real: -0.014003 Loss_D_fake 0.008160
[1056/5000][375/535][108913] Loss_D: -0.021657 Loss_G: 0.027770 Loss_D_real: -0.022693 Loss_D_fake -0.001036
[1056/5000][380/535][108914] Loss_D: -0.021728 Loss_G: 0.012302 Loss_D_real: -0.016705 Loss_D_fake 0.005023
[1056/5000][385/535][108915] Loss_D: -0.020863 Loss_G: 0.022791 Loss_D_real: -0.036320 Loss_D_fake -0.015456
[1056/5000][390/535][108916] Loss_D: -0.021667 Loss_G: 0.002468 Loss_D_real: -0.028750 Loss_D_fake -0.007083
[1056/5000][395/535][108917] Loss_D: -0.021866 Loss_G: 0.015896 Loss_D_real: -0.026756 Loss_D_fake -0.004889
[1056/5000][400/535][108918] Loss_D: -0.021628 Loss_G: 0.001600 Loss_D_real: -0.018861 Loss_D_fake 0.002767
[1056/5000][405/535][108919] Loss_D: -0.022745 Loss_G: 0.019931 Loss_D_real: -0.026589 Loss_D_fake -0.003844
[1056/5000][410/535][108920] Loss_D: -0.021647 Loss_G: 0.029392 Loss_D_real: -0.029303 Loss_D_fake -0.007656
[1056/5000][415/535][108921] Loss_D: -0.022470 Loss_G: 0.024258 Loss_D_real: -0.030761 Loss_D_fake -0.008291
[1056/5000][420/535][108922] Loss_D: -0.021469 Loss_G: -0.010768 Loss_D_real: -0.002504 Loss_D_fake 0.018965
[1056/5000][425/535][108923] Loss_D: -0.021196 Loss_G: -0.011080 Loss_D_real: -0.002453 Loss_D_fake 0.018742
[1056/5000][430/535][108924] Loss_D: -0.021402 Loss_G: -0.004092 Loss_D_real: -0.022221 Loss_D_fake -0.000819
[1056/5000][435/535][108925] Loss_D: -0.023050 Loss_G: 0.004616 Loss_D_real: -0.013518 Loss_D_fake 0.009532
[1056/5000][440/535][108926] Loss_D: -0.023456 Loss_G: -0.002218 Loss_D_real: -0.007018 Loss_D_fake 0.016438
[1056/5000][445/535][108927] Loss_D: -0.022198 Loss_G: 0.008332 Loss_D_real: -0.015854 Loss_D_fake 0.006344
[1056/5000][450/535][108928] Loss_D: -0.021950 Loss_G: 0.019944 Loss_D_real: -0.021621 Loss_D_fake 0.000328
[1056/5000][455/535][108929] Loss_D: -0.023356 Loss_G: 0.019262 Loss_D_real: -0.026694 Loss_D_fake -0.003339
[1056/5000][460/535][108930] Loss_D: -0.022337 Loss_G: 0.008694 Loss_D_real: -0.014918 Loss_D_fake 0.007419
[1056/5000][465/535][108931] Loss_D: -0.022275 Loss_G: -0.001971 Loss_D_real: -0.014643 Loss_D_fake 0.007632
[1056/5000][470/535][108932] Loss_D: -0.021186 Loss_G: -0.008969 Loss_D_real: -0.011009 Loss_D_fake 0.010177
[1056/5000][475/535][108933] Loss_D: -0.021667 Loss_G: 0.024445 Loss_D_real: -0.023005 Loss_D_fake -0.001338
[1056/5000][480/535][108934] Loss_D: -0.022603 Loss_G: 0.005195 Loss_D_real: -0.013225 Loss_D_fake 0.009378
[1056/5000][485/535][108935] Loss_D: -0.020929 Loss_G: 0.018814 Loss_D_real: -0.037184 Loss_D_fake -0.016255
[1056/5000][490/535][108936] Loss_D: -0.021860 Loss_G: -0.004502 Loss_D_real: -0.011017 Loss_D_fake 0.010843
[1056/5000][495/535][108937] Loss_D: -0.022079 Loss_G: 0.030512 Loss_D_real: -0.026042 Loss_D_fake -0.003963
[1056/5000][500/535][108938] Loss_D: -0.023380 Loss_G: 0.003008 Loss_D_real: -0.009079 Loss_D_fake 0.014301
[1056/5000][505/535][108939] Loss_D: -0.021472 Loss_G: 0.011528 Loss_D_real: -0.019066 Loss_D_fake 0.002407
[1056/5000][510/535][108940] Loss_D: -0.021443 Loss_G: 0.008932 Loss_D_real: -0.024433 Loss_D_fake -0.002990
[1056/5000][515/535][108941] Loss_D: -0.020305 Loss_G: 0.016091 Loss_D_real: -0.038754 Loss_D_fake -0.018449
[1056/5000][520/535][108942] Loss_D: -0.022565 Loss_G: 0.027109 Loss_D_real: -0.021790 Loss_D_fake 0.000775
[1056/5000][525/535][108943] Loss_D: -0.022047 Loss_G: 0.015387 Loss_D_real: -0.024272 Loss_D_fake -0.002226
[1056/5000][530/535][108944] Loss_D: -0.022452 Loss_G: 0.003359 Loss_D_real: -0.009471 Loss_D_fake 0.012981
[1056/5000][535/535][108945] Loss_D: -0.023278 Loss_G: 0.036016 Loss_D_real: -0.036793 Loss_D_fake -0.013516
[1057/5000][5/535][108946] Loss_D: -0.021724 Loss_G: -0.007491 Loss_D_real: -0.023848 Loss_D_fake -0.002124
[1057/5000][10/535][108947] Loss_D: -0.021342 Loss_G: 0.019733 Loss_D_real: -0.037793 Loss_D_fake -0.016452
[1057/5000][15/535][108948] Loss_D: -0.022622 Loss_G: 0.010955 Loss_D_real: -0.017339 Loss_D_fake 0.005283
[1057/5000][20/535][108949] Loss_D: -0.022140 Loss_G: -0.016734 Loss_D_real: -0.003951 Loss_D_fake 0.018189
[1057/5000][25/535][108950] Loss_D: -0.021487 Loss_G: -0.008771 Loss_D_real: -0.005721 Loss_D_fake 0.015766
[1057/5000][30/535][108951] Loss_D: -0.022681 Loss_G: 0.008767 Loss_D_real: -0.023317 Loss_D_fake -0.000636
[1057/5000][35/535][108952] Loss_D: -0.021924 Loss_G: 0.004867 Loss_D_real: -0.012041 Loss_D_fake 0.009883
[1057/5000][40/535][108953] Loss_D: -0.021680 Loss_G: 0.008527 Loss_D_real: -0.028462 Loss_D_fake -0.006782
[1057/5000][45/535][108954] Loss_D: -0.022131 Loss_G: -0.006573 Loss_D_real: -0.004643 Loss_D_fake 0.017488
[1057/5000][50/535][108955] Loss_D: -0.021315 Loss_G: -0.003646 Loss_D_real: -0.010353 Loss_D_fake 0.010963
[1057/5000][55/535][108956] Loss_D: -0.022685 Loss_G: 0.009433 Loss_D_real: -0.007060 Loss_D_fake 0.015625
[1057/5000][60/535][108957] Loss_D: -0.022225 Loss_G: 0.010526 Loss_D_real: -0.022365 Loss_D_fake -0.000141
[1057/5000][65/535][108958] Loss_D: -0.022029 Loss_G: 0.027103 Loss_D_real: -0.023875 Loss_D_fake -0.001846
[1057/5000][70/535][108959] Loss_D: -0.022559 Loss_G: -0.019317 Loss_D_real: -0.007742 Loss_D_fake 0.014817
[1057/5000][75/535][108960] Loss_D: -0.022739 Loss_G: 0.022611 Loss_D_real: -0.025042 Loss_D_fake -0.002302
[1057/5000][80/535][108961] Loss_D: -0.021968 Loss_G: 0.003310 Loss_D_real: -0.003576 Loss_D_fake 0.018391
[1057/5000][85/535][108962] Loss_D: -0.021203 Loss_G: -0.009084 Loss_D_real: -0.001884 Loss_D_fake 0.019319
[1057/5000][90/535][108963] Loss_D: -0.023196 Loss_G: 0.006481 Loss_D_real: -0.021540 Loss_D_fake 0.001656
[1057/5000][95/535][108964] Loss_D: -0.023114 Loss_G: 0.015564 Loss_D_real: -0.026845 Loss_D_fake -0.003731
[1057/5000][100/535][108965] Loss_D: -0.023039 Loss_G: 0.022227 Loss_D_real: -0.020888 Loss_D_fake 0.002151
[1057/5000][105/535][108966] Loss_D: -0.020959 Loss_G: -0.012943 Loss_D_real: -0.000997 Loss_D_fake 0.019962
[1057/5000][110/535][108967] Loss_D: -0.023222 Loss_G: 0.021846 Loss_D_real: -0.024303 Loss_D_fake -0.001081
[1057/5000][115/535][108968] Loss_D: -0.022923 Loss_G: -0.008962 Loss_D_real: -0.001050 Loss_D_fake 0.021873
[1057/5000][120/535][108969] Loss_D: -0.021257 Loss_G: 0.012175 Loss_D_real: -0.026594 Loss_D_fake -0.005337
[1057/5000][125/535][108970] Loss_D: -0.021187 Loss_G: -0.022646 Loss_D_real: 0.005732 Loss_D_fake 0.026919
[1057/5000][130/535][108971] Loss_D: -0.021347 Loss_G: 0.021220 Loss_D_real: -0.020492 Loss_D_fake 0.000855
[1057/5000][135/535][108972] Loss_D: -0.022228 Loss_G: 0.009099 Loss_D_real: -0.021416 Loss_D_fake 0.000812
[1057/5000][140/535][108973] Loss_D: -0.021108 Loss_G: -0.009997 Loss_D_real: 0.001568 Loss_D_fake 0.022676
[1057/5000][145/535][108974] Loss_D: -0.021053 Loss_G: 0.010575 Loss_D_real: -0.024591 Loss_D_fake -0.003538
[1057/5000][150/535][108975] Loss_D: -0.022977 Loss_G: 0.005326 Loss_D_real: -0.007643 Loss_D_fake 0.015334
[1057/5000][155/535][108976] Loss_D: -0.023369 Loss_G: 0.019087 Loss_D_real: -0.011556 Loss_D_fake 0.011813
[1057/5000][160/535][108977] Loss_D: -0.023372 Loss_G: 0.004841 Loss_D_real: -0.027901 Loss_D_fake -0.004529
[1057/5000][165/535][108978] Loss_D: -0.022576 Loss_G: 0.018866 Loss_D_real: -0.022820 Loss_D_fake -0.000245
[1057/5000][170/535][108979] Loss_D: -0.020472 Loss_G: -0.017443 Loss_D_real: 0.007008 Loss_D_fake 0.027479
[1057/5000][175/535][108980] Loss_D: -0.022901 Loss_G: 0.018564 Loss_D_real: -0.025209 Loss_D_fake -0.002307
[1057/5000][180/535][108981] Loss_D: -0.022048 Loss_G: -0.006082 Loss_D_real: -0.008900 Loss_D_fake 0.013147
[1057/5000][185/535][108982] Loss_D: -0.021856 Loss_G: 0.000630 Loss_D_real: -0.018829 Loss_D_fake 0.003027
[1057/5000][190/535][108983] Loss_D: -0.021293 Loss_G: 0.017743 Loss_D_real: -0.023360 Loss_D_fake -0.002067
[1057/5000][195/535][108984] Loss_D: -0.022683 Loss_G: -0.002507 Loss_D_real: -0.003015 Loss_D_fake 0.019668
[1057/5000][200/535][108985] Loss_D: -0.022739 Loss_G: 0.017906 Loss_D_real: -0.020851 Loss_D_fake 0.001888
[1057/5000][205/535][108986] Loss_D: -0.021757 Loss_G: -0.003014 Loss_D_real: -0.013270 Loss_D_fake 0.008487
[1057/5000][210/535][108987] Loss_D: -0.021420 Loss_G: 0.004556 Loss_D_real: -0.023626 Loss_D_fake -0.002206
[1057/5000][215/535][108988] Loss_D: -0.022480 Loss_G: 0.013699 Loss_D_real: -0.027297 Loss_D_fake -0.004818
[1057/5000][220/535][108989] Loss_D: -0.023250 Loss_G: 0.007976 Loss_D_real: -0.031396 Loss_D_fake -0.008146
[1057/5000][225/535][108990] Loss_D: -0.022301 Loss_G: -0.001397 Loss_D_real: -0.015662 Loss_D_fake 0.006639
[1057/5000][230/535][108991] Loss_D: -0.022863 Loss_G: 0.000980 Loss_D_real: -0.019916 Loss_D_fake 0.002947
[1057/5000][235/535][108992] Loss_D: -0.022216 Loss_G: -0.001240 Loss_D_real: -0.014534 Loss_D_fake 0.007682
[1057/5000][240/535][108993] Loss_D: -0.023522 Loss_G: 0.026062 Loss_D_real: -0.019736 Loss_D_fake 0.003786
[1057/5000][245/535][108994] Loss_D: -0.021666 Loss_G: 0.025121 Loss_D_real: -0.025843 Loss_D_fake -0.004176
[1057/5000][250/535][108995] Loss_D: -0.019162 Loss_G: 0.022683 Loss_D_real: -0.034492 Loss_D_fake -0.015330
[1057/5000][255/535][108996] Loss_D: -0.020987 Loss_G: -0.001211 Loss_D_real: -0.012764 Loss_D_fake 0.008223
[1057/5000][260/535][108997] Loss_D: -0.023093 Loss_G: -0.006091 Loss_D_real: -0.007807 Loss_D_fake 0.015286
[1057/5000][265/535][108998] Loss_D: -0.020668 Loss_G: 0.011679 Loss_D_real: -0.012042 Loss_D_fake 0.008626
[1057/5000][270/535][108999] Loss_D: -0.021260 Loss_G: 0.024872 Loss_D_real: -0.037906 Loss_D_fake -0.016646
[1057/5000][275/535][109000] Loss_D: -0.023451 Loss_G: -0.002735 Loss_D_real: -0.009130 Loss_D_fake 0.014321
[1057/5000][375/535][109001] Loss_D: -0.027246 Loss_G: -0.002657 Loss_D_real: -0.009777 Loss_D_fake 0.017468
[1057/5000][380/535][109002] Loss_D: -0.021407 Loss_G: 0.014997 Loss_D_real: -0.020805 Loss_D_fake 0.000602
[1057/5000][385/535][109003] Loss_D: -0.020369 Loss_G: 0.000613 Loss_D_real: -0.003533 Loss_D_fake 0.016836
[1057/5000][390/535][109004] Loss_D: -0.021491 Loss_G: 0.008398 Loss_D_real: -0.018900 Loss_D_fake 0.002590
[1057/5000][395/535][109005] Loss_D: -0.020745 Loss_G: 0.007386 Loss_D_real: -0.021092 Loss_D_fake -0.000347
[1057/5000][400/535][109006] Loss_D: -0.020858 Loss_G: 0.019586 Loss_D_real: -0.022854 Loss_D_fake -0.001995
[1057/5000][405/535][109007] Loss_D: -0.020928 Loss_G: -0.002553 Loss_D_real: -0.016115 Loss_D_fake 0.004813
[1057/5000][410/535][109008] Loss_D: -0.022056 Loss_G: 0.001490 Loss_D_real: -0.008727 Loss_D_fake 0.013329
[1057/5000][415/535][109009] Loss_D: -0.020905 Loss_G: -0.000529 Loss_D_real: -0.006834 Loss_D_fake 0.014071
[1057/5000][420/535][109010] Loss_D: -0.022118 Loss_G: 0.000366 Loss_D_real: -0.014538 Loss_D_fake 0.007580
[1057/5000][425/535][109011] Loss_D: -0.021024 Loss_G: 0.013673 Loss_D_real: -0.018330 Loss_D_fake 0.002694
[1057/5000][430/535][109012] Loss_D: -0.021115 Loss_G: 0.011164 Loss_D_real: -0.017567 Loss_D_fake 0.003548
[1057/5000][435/535][109013] Loss_D: -0.022559 Loss_G: 0.004783 Loss_D_real: -0.015495 Loss_D_fake 0.007064
[1057/5000][440/535][109014] Loss_D: -0.020633 Loss_G: 0.012040 Loss_D_real: -0.013203 Loss_D_fake 0.007430
[1057/5000][445/535][109015] Loss_D: -0.022456 Loss_G: 0.024728 Loss_D_real: -0.020635 Loss_D_fake 0.001822
[1057/5000][450/535][109016] Loss_D: -0.020800 Loss_G: 0.025538 Loss_D_real: -0.029803 Loss_D_fake -0.009003
[1057/5000][455/535][109017] Loss_D: -0.021700 Loss_G: 0.002823 Loss_D_real: -0.004160 Loss_D_fake 0.017540
[1057/5000][460/535][109018] Loss_D: -0.021397 Loss_G: 0.003342 Loss_D_real: -0.017270 Loss_D_fake 0.004126
[1057/5000][465/535][109019] Loss_D: -0.021413 Loss_G: 0.024820 Loss_D_real: -0.023273 Loss_D_fake -0.001860
[1057/5000][470/535][109020] Loss_D: -0.022584 Loss_G: 0.006153 Loss_D_real: -0.016373 Loss_D_fake 0.006211
[1057/5000][475/535][109021] Loss_D: -0.021565 Loss_G: 0.005471 Loss_D_real: -0.012261 Loss_D_fake 0.009304
[1057/5000][480/535][109022] Loss_D: -0.022488 Loss_G: 0.013637 Loss_D_real: -0.028412 Loss_D_fake -0.005925
[1057/5000][485/535][109023] Loss_D: -0.023468 Loss_G: -0.003486 Loss_D_real: -0.017281 Loss_D_fake 0.006187
[1057/5000][490/535][109024] Loss_D: -0.021872 Loss_G: 0.016090 Loss_D_real: -0.024874 Loss_D_fake -0.003002
[1057/5000][495/535][109025] Loss_D: -0.020492 Loss_G: -0.009872 Loss_D_real: -0.015348 Loss_D_fake 0.005144
[1057/5000][500/535][109026] Loss_D: -0.021879 Loss_G: 0.012874 Loss_D_real: -0.008120 Loss_D_fake 0.013759
[1057/5000][505/535][109027] Loss_D: -0.021961 Loss_G: -0.005350 Loss_D_real: -0.014661 Loss_D_fake 0.007300
[1057/5000][510/535][109028] Loss_D: -0.022412 Loss_G: 0.011017 Loss_D_real: -0.025172 Loss_D_fake -0.002759
[1057/5000][515/535][109029] Loss_D: -0.022965 Loss_G: 0.017975 Loss_D_real: -0.010955 Loss_D_fake 0.012010
[1057/5000][520/535][109030] Loss_D: -0.022183 Loss_G: 0.003888 Loss_D_real: -0.022454 Loss_D_fake -0.000272
[1057/5000][525/535][109031] Loss_D: -0.022837 Loss_G: -0.000424 Loss_D_real: -0.012018 Loss_D_fake 0.010820
[1057/5000][530/535][109032] Loss_D: -0.022305 Loss_G: 0.008505 Loss_D_real: -0.024311 Loss_D_fake -0.002006
[1057/5000][535/535][109033] Loss_D: -0.021250 Loss_G: 0.001372 Loss_D_real: -0.018336 Loss_D_fake 0.002914
[1058/5000][5/535][109034] Loss_D: -0.023679 Loss_G: 0.009016 Loss_D_real: -0.011234 Loss_D_fake 0.012445
[1058/5000][10/535][109035] Loss_D: -0.020830 Loss_G: 0.005031 Loss_D_real: -0.016726 Loss_D_fake 0.004104
[1058/5000][15/535][109036] Loss_D: -0.022947 Loss_G: 0.001151 Loss_D_real: -0.007914 Loss_D_fake 0.015033
[1058/5000][20/535][109037] Loss_D: -0.019535 Loss_G: 0.032554 Loss_D_real: -0.036060 Loss_D_fake -0.016525
[1058/5000][25/535][109038] Loss_D: -0.021320 Loss_G: 0.010265 Loss_D_real: -0.019543 Loss_D_fake 0.001777
[1058/5000][30/535][109039] Loss_D: -0.021836 Loss_G: -0.013314 Loss_D_real: -0.008857 Loss_D_fake 0.012979
[1058/5000][35/535][109040] Loss_D: -0.021149 Loss_G: -0.001035 Loss_D_real: -0.019402 Loss_D_fake 0.001747
[1058/5000][40/535][109041] Loss_D: -0.021281 Loss_G: 0.002148 Loss_D_real: -0.019371 Loss_D_fake 0.001909
[1058/5000][45/535][109042] Loss_D: -0.021385 Loss_G: 0.022629 Loss_D_real: -0.021834 Loss_D_fake -0.000449
[1058/5000][50/535][109043] Loss_D: -0.022245 Loss_G: -0.000879 Loss_D_real: -0.016548 Loss_D_fake 0.005697
[1058/5000][55/535][109044] Loss_D: -0.021622 Loss_G: 0.023709 Loss_D_real: -0.022692 Loss_D_fake -0.001070
[1058/5000][60/535][109045] Loss_D: -0.020910 Loss_G: -0.004725 Loss_D_real: -0.009686 Loss_D_fake 0.011224
[1058/5000][65/535][109046] Loss_D: -0.021874 Loss_G: 0.005508 Loss_D_real: -0.010057 Loss_D_fake 0.011817
[1058/5000][70/535][109047] Loss_D: -0.022631 Loss_G: -0.000228 Loss_D_real: -0.019659 Loss_D_fake 0.002972
[1058/5000][75/535][109048] Loss_D: -0.020794 Loss_G: 0.018599 Loss_D_real: -0.021784 Loss_D_fake -0.000990
[1058/5000][80/535][109049] Loss_D: -0.022387 Loss_G: 0.009567 Loss_D_real: -0.017014 Loss_D_fake 0.005373
[1058/5000][85/535][109050] Loss_D: -0.022132 Loss_G: -0.008693 Loss_D_real: -0.000075 Loss_D_fake 0.022056
[1058/5000][90/535][109051] Loss_D: -0.022107 Loss_G: 0.022831 Loss_D_real: -0.020424 Loss_D_fake 0.001683
[1058/5000][95/535][109052] Loss_D: -0.023031 Loss_G: 0.006104 Loss_D_real: -0.009925 Loss_D_fake 0.013106
[1058/5000][100/535][109053] Loss_D: -0.020760 Loss_G: 0.014429 Loss_D_real: -0.036789 Loss_D_fake -0.016029
[1058/5000][105/535][109054] Loss_D: -0.021848 Loss_G: 0.001872 Loss_D_real: -0.020019 Loss_D_fake 0.001829
[1058/5000][110/535][109055] Loss_D: -0.022032 Loss_G: 0.010631 Loss_D_real: -0.023246 Loss_D_fake -0.001214
[1058/5000][115/535][109056] Loss_D: -0.022507 Loss_G: 0.016977 Loss_D_real: -0.020970 Loss_D_fake 0.001537
[1058/5000][120/535][109057] Loss_D: -0.023712 Loss_G: 0.000303 Loss_D_real: -0.023987 Loss_D_fake -0.000275
[1058/5000][125/535][109058] Loss_D: -0.022350 Loss_G: 0.026280 Loss_D_real: -0.031086 Loss_D_fake -0.008736
[1058/5000][130/535][109059] Loss_D: -0.022077 Loss_G: 0.009273 Loss_D_real: -0.027216 Loss_D_fake -0.005138
[1058/5000][135/535][109060] Loss_D: -0.022833 Loss_G: 0.019892 Loss_D_real: -0.017130 Loss_D_fake 0.005703
[1058/5000][140/535][109061] Loss_D: -0.022201 Loss_G: 0.011127 Loss_D_real: -0.019994 Loss_D_fake 0.002207
[1058/5000][145/535][109062] Loss_D: -0.022666 Loss_G: 0.012486 Loss_D_real: -0.018117 Loss_D_fake 0.004549
[1058/5000][150/535][109063] Loss_D: -0.021943 Loss_G: -0.012058 Loss_D_real: -0.015128 Loss_D_fake 0.006814
[1058/5000][155/535][109064] Loss_D: -0.022517 Loss_G: 0.026871 Loss_D_real: -0.028056 Loss_D_fake -0.005539
[1058/5000][160/535][109065] Loss_D: -0.022770 Loss_G: 0.001823 Loss_D_real: -0.010400 Loss_D_fake 0.012369
[1058/5000][165/535][109066] Loss_D: -0.022360 Loss_G: -0.005892 Loss_D_real: -0.017987 Loss_D_fake 0.004373
[1058/5000][170/535][109067] Loss_D: -0.023086 Loss_G: 0.003472 Loss_D_real: -0.013169 Loss_D_fake 0.009917
[1058/5000][175/535][109068] Loss_D: -0.021175 Loss_G: -0.005016 Loss_D_real: -0.012135 Loss_D_fake 0.009040
[1058/5000][180/535][109069] Loss_D: -0.021316 Loss_G: 0.019557 Loss_D_real: -0.023673 Loss_D_fake -0.002358
[1058/5000][185/535][109070] Loss_D: -0.022379 Loss_G: 0.007837 Loss_D_real: 0.000482 Loss_D_fake 0.022861
[1058/5000][190/535][109071] Loss_D: -0.020405 Loss_G: 0.022829 Loss_D_real: -0.035557 Loss_D_fake -0.015152
[1058/5000][195/535][109072] Loss_D: -0.022685 Loss_G: -0.002178 Loss_D_real: -0.009666 Loss_D_fake 0.013019
[1058/5000][200/535][109073] Loss_D: -0.023954 Loss_G: 0.016952 Loss_D_real: -0.017598 Loss_D_fake 0.006355
[1058/5000][205/535][109074] Loss_D: -0.021828 Loss_G: 0.014123 Loss_D_real: -0.024822 Loss_D_fake -0.002994
[1058/5000][210/535][109075] Loss_D: -0.023152 Loss_G: 0.005731 Loss_D_real: -0.019110 Loss_D_fake 0.004042
[1058/5000][215/535][109076] Loss_D: -0.023913 Loss_G: 0.006352 Loss_D_real: -0.014429 Loss_D_fake 0.009484
[1058/5000][220/535][109077] Loss_D: -0.022059 Loss_G: 0.003840 Loss_D_real: -0.010121 Loss_D_fake 0.011937
[1058/5000][225/535][109078] Loss_D: -0.022453 Loss_G: 0.011077 Loss_D_real: -0.019173 Loss_D_fake 0.003280
[1058/5000][230/535][109079] Loss_D: -0.020578 Loss_G: 0.029684 Loss_D_real: -0.036137 Loss_D_fake -0.015559
[1058/5000][235/535][109080] Loss_D: -0.023054 Loss_G: -0.008189 Loss_D_real: -0.000255 Loss_D_fake 0.022799
[1058/5000][240/535][109081] Loss_D: -0.021278 Loss_G: 0.007317 Loss_D_real: -0.025886 Loss_D_fake -0.004608
[1058/5000][245/535][109082] Loss_D: -0.019725 Loss_G: 0.025978 Loss_D_real: -0.029930 Loss_D_fake -0.010205
[1058/5000][250/535][109083] Loss_D: -0.021948 Loss_G: 0.014680 Loss_D_real: -0.025470 Loss_D_fake -0.003522
[1058/5000][255/535][109084] Loss_D: -0.022086 Loss_G: 0.013435 Loss_D_real: -0.020945 Loss_D_fake 0.001141
[1058/5000][260/535][109085] Loss_D: -0.022454 Loss_G: 0.021346 Loss_D_real: -0.023065 Loss_D_fake -0.000612
[1058/5000][265/535][109086] Loss_D: -0.022473 Loss_G: -0.018729 Loss_D_real: -0.011627 Loss_D_fake 0.010847
[1058/5000][270/535][109087] Loss_D: -0.021511 Loss_G: 0.019600 Loss_D_real: -0.018002 Loss_D_fake 0.003509
[1058/5000][275/535][109088] Loss_D: -0.020747 Loss_G: -0.012000 Loss_D_real: -0.006022 Loss_D_fake 0.014724
[1058/5000][280/535][109089] Loss_D: -0.021065 Loss_G: 0.010349 Loss_D_real: -0.015321 Loss_D_fake 0.005744
[1058/5000][285/535][109090] Loss_D: -0.023254 Loss_G: 0.002895 Loss_D_real: -0.020830 Loss_D_fake 0.002423
[1058/5000][290/535][109091] Loss_D: -0.021252 Loss_G: 0.028635 Loss_D_real: -0.030758 Loss_D_fake -0.009505
[1058/5000][295/535][109092] Loss_D: -0.020695 Loss_G: 0.015104 Loss_D_real: -0.009677 Loss_D_fake 0.011019
[1058/5000][300/535][109093] Loss_D: -0.022839 Loss_G: 0.009878 Loss_D_real: -0.018674 Loss_D_fake 0.004165
[1058/5000][305/535][109094] Loss_D: -0.021601 Loss_G: -0.000115 Loss_D_real: -0.013276 Loss_D_fake 0.008325
[1058/5000][310/535][109095] Loss_D: -0.021395 Loss_G: 0.004710 Loss_D_real: -0.021345 Loss_D_fake 0.000051
[1058/5000][315/535][109096] Loss_D: -0.022630 Loss_G: 0.006490 Loss_D_real: -0.018096 Loss_D_fake 0.004533
[1058/5000][320/535][109097] Loss_D: -0.023071 Loss_G: -0.002950 Loss_D_real: -0.007989 Loss_D_fake 0.015082
[1058/5000][325/535][109098] Loss_D: -0.022925 Loss_G: 0.017353 Loss_D_real: -0.024921 Loss_D_fake -0.001996
[1058/5000][330/535][109099] Loss_D: -0.021133 Loss_G: 0.013719 Loss_D_real: -0.020133 Loss_D_fake 0.001000
[1058/5000][335/535][109100] Loss_D: -0.024122 Loss_G: -0.007292 Loss_D_real: -0.013618 Loss_D_fake 0.010504
[1058/5000][340/535][109101] Loss_D: -0.021354 Loss_G: 0.017492 Loss_D_real: -0.019677 Loss_D_fake 0.001677
[1058/5000][345/535][109102] Loss_D: -0.022530 Loss_G: -0.008261 Loss_D_real: -0.009307 Loss_D_fake 0.013223
[1058/5000][350/535][109103] Loss_D: -0.021188 Loss_G: 0.008113 Loss_D_real: -0.013002 Loss_D_fake 0.008186
[1058/5000][355/535][109104] Loss_D: -0.022257 Loss_G: 0.000122 Loss_D_real: -0.016606 Loss_D_fake 0.005652
[1058/5000][360/535][109105] Loss_D: -0.022537 Loss_G: 0.012203 Loss_D_real: -0.022380 Loss_D_fake 0.000156
[1058/5000][365/535][109106] Loss_D: -0.022249 Loss_G: 0.019781 Loss_D_real: -0.026071 Loss_D_fake -0.003822
[1058/5000][370/535][109107] Loss_D: -0.022164 Loss_G: 0.020040 Loss_D_real: -0.031467 Loss_D_fake -0.009303
[1058/5000][375/535][109108] Loss_D: -0.020230 Loss_G: -0.009682 Loss_D_real: -0.004274 Loss_D_fake 0.015956
[1058/5000][380/535][109109] Loss_D: -0.022874 Loss_G: 0.022840 Loss_D_real: -0.024885 Loss_D_fake -0.002011
[1058/5000][385/535][109110] Loss_D: -0.021466 Loss_G: 0.012741 Loss_D_real: -0.011585 Loss_D_fake 0.009882
[1058/5000][390/535][109111] Loss_D: -0.020003 Loss_G: 0.028073 Loss_D_real: -0.032736 Loss_D_fake -0.012733
[1058/5000][395/535][109112] Loss_D: -0.023021 Loss_G: -0.009241 Loss_D_real: -0.009278 Loss_D_fake 0.013743
[1058/5000][400/535][109113] Loss_D: -0.021787 Loss_G: 0.028479 Loss_D_real: -0.017293 Loss_D_fake 0.004494
[1058/5000][405/535][109114] Loss_D: -0.022127 Loss_G: -0.005554 Loss_D_real: -0.020241 Loss_D_fake 0.001886
[1058/5000][410/535][109115] Loss_D: -0.019403 Loss_G: -0.018636 Loss_D_real: -0.004120 Loss_D_fake 0.015283
[1058/5000][415/535][109116] Loss_D: -0.022710 Loss_G: 0.017751 Loss_D_real: -0.025106 Loss_D_fake -0.002396
[1058/5000][420/535][109117] Loss_D: -0.022109 Loss_G: 0.008250 Loss_D_real: -0.004694 Loss_D_fake 0.017415
[1058/5000][425/535][109118] Loss_D: -0.021884 Loss_G: 0.007254 Loss_D_real: -0.015697 Loss_D_fake 0.006187
[1058/5000][430/535][109119] Loss_D: -0.021992 Loss_G: 0.002664 Loss_D_real: -0.016608 Loss_D_fake 0.005384
[1058/5000][435/535][109120] Loss_D: -0.021971 Loss_G: 0.012271 Loss_D_real: -0.023852 Loss_D_fake -0.001882
[1058/5000][440/535][109121] Loss_D: -0.022273 Loss_G: -0.000311 Loss_D_real: -0.015206 Loss_D_fake 0.007067
[1058/5000][445/535][109122] Loss_D: -0.023110 Loss_G: 0.011168 Loss_D_real: -0.023557 Loss_D_fake -0.000447
[1058/5000][450/535][109123] Loss_D: -0.022312 Loss_G: 0.008936 Loss_D_real: -0.015183 Loss_D_fake 0.007130
[1058/5000][455/535][109124] Loss_D: -0.022415 Loss_G: -0.005595 Loss_D_real: -0.000616 Loss_D_fake 0.021798
[1058/5000][460/535][109125] Loss_D: -0.023362 Loss_G: -0.010404 Loss_D_real: -0.005475 Loss_D_fake 0.017887
[1058/5000][465/535][109126] Loss_D: -0.023100 Loss_G: 0.002635 Loss_D_real: -0.013783 Loss_D_fake 0.009317
[1058/5000][470/535][109127] Loss_D: -0.021503 Loss_G: 0.031604 Loss_D_real: -0.041405 Loss_D_fake -0.019901
[1058/5000][475/535][109128] Loss_D: -0.021788 Loss_G: 0.009750 Loss_D_real: -0.016826 Loss_D_fake 0.004962
[1058/5000][480/535][109129] Loss_D: -0.022077 Loss_G: 0.026852 Loss_D_real: -0.029994 Loss_D_fake -0.007916
[1058/5000][485/535][109130] Loss_D: -0.021828 Loss_G: 0.004084 Loss_D_real: -0.007325 Loss_D_fake 0.014503
[1058/5000][490/535][109131] Loss_D: -0.020878 Loss_G: -0.004804 Loss_D_real: -0.000947 Loss_D_fake 0.019931
[1058/5000][495/535][109132] Loss_D: -0.021973 Loss_G: 0.002669 Loss_D_real: -0.008632 Loss_D_fake 0.013341
[1058/5000][500/535][109133] Loss_D: -0.022100 Loss_G: 0.003180 Loss_D_real: -0.014407 Loss_D_fake 0.007693
[1058/5000][505/535][109134] Loss_D: -0.022357 Loss_G: 0.014387 Loss_D_real: -0.029987 Loss_D_fake -0.007630
[1058/5000][510/535][109135] Loss_D: -0.022441 Loss_G: 0.009129 Loss_D_real: -0.028843 Loss_D_fake -0.006402
[1058/5000][515/535][109136] Loss_D: -0.021857 Loss_G: 0.020131 Loss_D_real: -0.026396 Loss_D_fake -0.004539
[1058/5000][520/535][109137] Loss_D: -0.023881 Loss_G: -0.020299 Loss_D_real: -0.002969 Loss_D_fake 0.020912
[1058/5000][525/535][109138] Loss_D: -0.020995 Loss_G: -0.003261 Loss_D_real: -0.016108 Loss_D_fake 0.004887
[1058/5000][530/535][109139] Loss_D: -0.021390 Loss_G: -0.008778 Loss_D_real: -0.001303 Loss_D_fake 0.020087
[1058/5000][535/535][109140] Loss_D: -0.022417 Loss_G: -0.013221 Loss_D_real: -0.021509 Loss_D_fake 0.000908
[1059/5000][5/535][109141] Loss_D: -0.022798 Loss_G: 0.002525 Loss_D_real: -0.013817 Loss_D_fake 0.008981
[1059/5000][10/535][109142] Loss_D: -0.022713 Loss_G: 0.013910 Loss_D_real: -0.026008 Loss_D_fake -0.003295
[1059/5000][15/535][109143] Loss_D: -0.022039 Loss_G: 0.012641 Loss_D_real: -0.013176 Loss_D_fake 0.008863
[1059/5000][20/535][109144] Loss_D: -0.022239 Loss_G: 0.019664 Loss_D_real: -0.019011 Loss_D_fake 0.003228
[1059/5000][25/535][109145] Loss_D: -0.021203 Loss_G: 0.016590 Loss_D_real: -0.021885 Loss_D_fake -0.000682
[1059/5000][30/535][109146] Loss_D: -0.020768 Loss_G: 0.016309 Loss_D_real: -0.026754 Loss_D_fake -0.005985
[1059/5000][35/535][109147] Loss_D: -0.023435 Loss_G: 0.007403 Loss_D_real: -0.019125 Loss_D_fake 0.004309
[1059/5000][40/535][109148] Loss_D: -0.023009 Loss_G: 0.013548 Loss_D_real: -0.022155 Loss_D_fake 0.000854
[1059/5000][45/535][109149] Loss_D: -0.022768 Loss_G: 0.010945 Loss_D_real: -0.025195 Loss_D_fake -0.002427
[1059/5000][50/535][109150] Loss_D: -0.022113 Loss_G: 0.014728 Loss_D_real: -0.011400 Loss_D_fake 0.010714
[1059/5000][55/535][109151] Loss_D: -0.021675 Loss_G: 0.029121 Loss_D_real: -0.035730 Loss_D_fake -0.014055
[1059/5000][60/535][109152] Loss_D: -0.022927 Loss_G: 0.012361 Loss_D_real: -0.019734 Loss_D_fake 0.003193
[1059/5000][65/535][109153] Loss_D: -0.023298 Loss_G: -0.006046 Loss_D_real: -0.005478 Loss_D_fake 0.017821
[1059/5000][70/535][109154] Loss_D: -0.021384 Loss_G: -0.001215 Loss_D_real: 0.002228 Loss_D_fake 0.023612
[1059/5000][75/535][109155] Loss_D: -0.020848 Loss_G: 0.015365 Loss_D_real: -0.022938 Loss_D_fake -0.002090
[1059/5000][80/535][109156] Loss_D: -0.021829 Loss_G: -0.010167 Loss_D_real: -0.001055 Loss_D_fake 0.020774
[1059/5000][85/535][109157] Loss_D: -0.022348 Loss_G: 0.013166 Loss_D_real: -0.021027 Loss_D_fake 0.001321
[1059/5000][90/535][109158] Loss_D: -0.022555 Loss_G: 0.025258 Loss_D_real: -0.021564 Loss_D_fake 0.000992
[1059/5000][95/535][109159] Loss_D: -0.022249 Loss_G: 0.014139 Loss_D_real: -0.026538 Loss_D_fake -0.004290
[1059/5000][100/535][109160] Loss_D: -0.022262 Loss_G: 0.018753 Loss_D_real: -0.020453 Loss_D_fake 0.001809
[1059/5000][105/535][109161] Loss_D: -0.022802 Loss_G: 0.006331 Loss_D_real: -0.013909 Loss_D_fake 0.008892
[1059/5000][110/535][109162] Loss_D: -0.023128 Loss_G: 0.004688 Loss_D_real: -0.022583 Loss_D_fake 0.000544
[1059/5000][115/535][109163] Loss_D: -0.022626 Loss_G: 0.015463 Loss_D_real: -0.026716 Loss_D_fake -0.004090
[1059/5000][120/535][109164] Loss_D: -0.021487 Loss_G: 0.025881 Loss_D_real: -0.024831 Loss_D_fake -0.003344
[1059/5000][125/535][109165] Loss_D: -0.022320 Loss_G: 0.018854 Loss_D_real: -0.016347 Loss_D_fake 0.005973
[1059/5000][130/535][109166] Loss_D: -0.021413 Loss_G: 0.019559 Loss_D_real: -0.025355 Loss_D_fake -0.003942
[1059/5000][135/535][109167] Loss_D: -0.022222 Loss_G: 0.011273 Loss_D_real: -0.020334 Loss_D_fake 0.001888
[1059/5000][140/535][109168] Loss_D: -0.021988 Loss_G: -0.013714 Loss_D_real: -0.008107 Loss_D_fake 0.013881
[1059/5000][145/535][109169] Loss_D: -0.021512 Loss_G: 0.013485 Loss_D_real: -0.020136 Loss_D_fake 0.001377
[1059/5000][150/535][109170] Loss_D: -0.021801 Loss_G: 0.020244 Loss_D_real: -0.017528 Loss_D_fake 0.004273
[1059/5000][155/535][109171] Loss_D: -0.021291 Loss_G: 0.014007 Loss_D_real: -0.027261 Loss_D_fake -0.005970
[1059/5000][160/535][109172] Loss_D: -0.022533 Loss_G: 0.015395 Loss_D_real: -0.033299 Loss_D_fake -0.010766
[1059/5000][165/535][109173] Loss_D: -0.021126 Loss_G: -0.017833 Loss_D_real: 0.004788 Loss_D_fake 0.025914
[1059/5000][170/535][109174] Loss_D: -0.021214 Loss_G: 0.019585 Loss_D_real: -0.033143 Loss_D_fake -0.011929
[1059/5000][175/535][109175] Loss_D: -0.022071 Loss_G: 0.023868 Loss_D_real: -0.022939 Loss_D_fake -0.000869
[1059/5000][180/535][109176] Loss_D: -0.022349 Loss_G: -0.008766 Loss_D_real: 0.000135 Loss_D_fake 0.022484
[1059/5000][185/535][109177] Loss_D: -0.021849 Loss_G: 0.001436 Loss_D_real: -0.016215 Loss_D_fake 0.005634
[1059/5000][190/535][109178] Loss_D: -0.021466 Loss_G: 0.011677 Loss_D_real: -0.009791 Loss_D_fake 0.011675
[1059/5000][195/535][109179] Loss_D: -0.022508 Loss_G: -0.007108 Loss_D_real: -0.011154 Loss_D_fake 0.011353
[1059/5000][200/535][109180] Loss_D: -0.021820 Loss_G: 0.013334 Loss_D_real: -0.015371 Loss_D_fake 0.006449
[1059/5000][205/535][109181] Loss_D: -0.021595 Loss_G: -0.015004 Loss_D_real: -0.003702 Loss_D_fake 0.017893
[1059/5000][210/535][109182] Loss_D: -0.023119 Loss_G: 0.004438 Loss_D_real: -0.018236 Loss_D_fake 0.004883
[1059/5000][215/535][109183] Loss_D: -0.021916 Loss_G: 0.026223 Loss_D_real: -0.020206 Loss_D_fake 0.001710
[1059/5000][220/535][109184] Loss_D: -0.023946 Loss_G: 0.013569 Loss_D_real: -0.024023 Loss_D_fake -0.000078
[1059/5000][225/535][109185] Loss_D: -0.025027 Loss_G: 0.008976 Loss_D_real: -0.018733 Loss_D_fake 0.006295
[1059/5000][230/535][109186] Loss_D: -0.022622 Loss_G: -0.000487 Loss_D_real: -0.009047 Loss_D_fake 0.013575
[1059/5000][235/535][109187] Loss_D: -0.021202 Loss_G: 0.036932 Loss_D_real: -0.037964 Loss_D_fake -0.016762
[1059/5000][240/535][109188] Loss_D: -0.022470 Loss_G: 0.020641 Loss_D_real: -0.030870 Loss_D_fake -0.008400
[1059/5000][245/535][109189] Loss_D: -0.021866 Loss_G: -0.003092 Loss_D_real: -0.018944 Loss_D_fake 0.002922
[1059/5000][250/535][109190] Loss_D: -0.022585 Loss_G: 0.011323 Loss_D_real: -0.016268 Loss_D_fake 0.006317
[1059/5000][255/535][109191] Loss_D: -0.021050 Loss_G: 0.019860 Loss_D_real: -0.033825 Loss_D_fake -0.012775
[1059/5000][260/535][109192] Loss_D: -0.021282 Loss_G: -0.000084 Loss_D_real: -0.017930 Loss_D_fake 0.003352
[1059/5000][265/535][109193] Loss_D: -0.021719 Loss_G: 0.022260 Loss_D_real: -0.031242 Loss_D_fake -0.009524
[1059/5000][270/535][109194] Loss_D: -0.022479 Loss_G: 0.022546 Loss_D_real: -0.021175 Loss_D_fake 0.001304
[1059/5000][275/535][109195] Loss_D: -0.022134 Loss_G: 0.009901 Loss_D_real: -0.032994 Loss_D_fake -0.010860
[1059/5000][280/535][109196] Loss_D: -0.022057 Loss_G: 0.013529 Loss_D_real: -0.027660 Loss_D_fake -0.005603
[1059/5000][285/535][109197] Loss_D: -0.023135 Loss_G: -0.005406 Loss_D_real: -0.015677 Loss_D_fake 0.007459
[1059/5000][290/535][109198] Loss_D: -0.021795 Loss_G: 0.015698 Loss_D_real: -0.023471 Loss_D_fake -0.001676
[1059/5000][295/535][109199] Loss_D: -0.022326 Loss_G: 0.009345 Loss_D_real: -0.016900 Loss_D_fake 0.005427
[1059/5000][300/535][109200] Loss_D: -0.021781 Loss_G: 0.006793 Loss_D_real: -0.016205 Loss_D_fake 0.005576
[1059/5000][305/535][109201] Loss_D: -0.021243 Loss_G: 0.004848 Loss_D_real: -0.013138 Loss_D_fake 0.008105
[1059/5000][310/535][109202] Loss_D: -0.023084 Loss_G: 0.006800 Loss_D_real: -0.030873 Loss_D_fake -0.007789
[1059/5000][315/535][109203] Loss_D: -0.022143 Loss_G: 0.017529 Loss_D_real: -0.029025 Loss_D_fake -0.006882
[1059/5000][320/535][109204] Loss_D: -0.022707 Loss_G: 0.002889 Loss_D_real: -0.015143 Loss_D_fake 0.007564
[1059/5000][325/535][109205] Loss_D: -0.023173 Loss_G: 0.012604 Loss_D_real: -0.015653 Loss_D_fake 0.007520
[1059/5000][330/535][109206] Loss_D: -0.022501 Loss_G: 0.006303 Loss_D_real: -0.018973 Loss_D_fake 0.003527
[1059/5000][335/535][109207] Loss_D: -0.023274 Loss_G: 0.005306 Loss_D_real: -0.015363 Loss_D_fake 0.007911
[1059/5000][340/535][109208] Loss_D: -0.022363 Loss_G: 0.011384 Loss_D_real: -0.011836 Loss_D_fake 0.010526
[1059/5000][345/535][109209] Loss_D: -0.021000 Loss_G: -0.012430 Loss_D_real: 0.005916 Loss_D_fake 0.026915
[1059/5000][350/535][109210] Loss_D: -0.021172 Loss_G: 0.020376 Loss_D_real: -0.019848 Loss_D_fake 0.001324
[1059/5000][355/535][109211] Loss_D: -0.023349 Loss_G: 0.000297 Loss_D_real: -0.026407 Loss_D_fake -0.003058
[1059/5000][360/535][109212] Loss_D: -0.023283 Loss_G: 0.018790 Loss_D_real: -0.028367 Loss_D_fake -0.005085
[1059/5000][365/535][109213] Loss_D: -0.022420 Loss_G: 0.015284 Loss_D_real: -0.016906 Loss_D_fake 0.005513
[1059/5000][370/535][109214] Loss_D: -0.022921 Loss_G: -0.000103 Loss_D_real: -0.008199 Loss_D_fake 0.014722
[1059/5000][375/535][109215] Loss_D: -0.019653 Loss_G: 0.021904 Loss_D_real: -0.033211 Loss_D_fake -0.013558
[1059/5000][380/535][109216] Loss_D: -0.020943 Loss_G: -0.013125 Loss_D_real: 0.012059 Loss_D_fake 0.033001
[1059/5000][385/535][109217] Loss_D: -0.021677 Loss_G: -0.000003 Loss_D_real: -0.012769 Loss_D_fake 0.008908
[1059/5000][390/535][109218] Loss_D: -0.023117 Loss_G: 0.004765 Loss_D_real: -0.013172 Loss_D_fake 0.009944
[1059/5000][395/535][109219] Loss_D: -0.022280 Loss_G: 0.005781 Loss_D_real: -0.012415 Loss_D_fake 0.009865
[1059/5000][400/535][109220] Loss_D: -0.022995 Loss_G: 0.010531 Loss_D_real: -0.024525 Loss_D_fake -0.001529
[1059/5000][405/535][109221] Loss_D: -0.020620 Loss_G: 0.027857 Loss_D_real: -0.030869 Loss_D_fake -0.010249
[1059/5000][410/535][109222] Loss_D: -0.022691 Loss_G: -0.007373 Loss_D_real: -0.014491 Loss_D_fake 0.008200
[1059/5000][415/535][109223] Loss_D: -0.019005 Loss_G: 0.030135 Loss_D_real: -0.028183 Loss_D_fake -0.009178
[1059/5000][420/535][109224] Loss_D: -0.022190 Loss_G: -0.002966 Loss_D_real: -0.017263 Loss_D_fake 0.004927
[1059/5000][425/535][109225] Loss_D: -0.023248 Loss_G: -0.016103 Loss_D_real: -0.009795 Loss_D_fake 0.013453
[1059/5000][430/535][109226] Loss_D: -0.022240 Loss_G: 0.025878 Loss_D_real: -0.027313 Loss_D_fake -0.005073
[1059/5000][435/535][109227] Loss_D: -0.022096 Loss_G: 0.020143 Loss_D_real: -0.009681 Loss_D_fake 0.012415
[1059/5000][440/535][109228] Loss_D: -0.021152 Loss_G: 0.018386 Loss_D_real: -0.024608 Loss_D_fake -0.003456
[1059/5000][445/535][109229] Loss_D: -0.021140 Loss_G: 0.028515 Loss_D_real: -0.026177 Loss_D_fake -0.005037
[1059/5000][450/535][109230] Loss_D: -0.020365 Loss_G: 0.006018 Loss_D_real: -0.019447 Loss_D_fake 0.000918
[1059/5000][455/535][109231] Loss_D: -0.021881 Loss_G: 0.010595 Loss_D_real: -0.023574 Loss_D_fake -0.001693
[1059/5000][460/535][109232] Loss_D: -0.022349 Loss_G: 0.006132 Loss_D_real: -0.020674 Loss_D_fake 0.001675
[1059/5000][465/535][109233] Loss_D: -0.020482 Loss_G: 0.016185 Loss_D_real: -0.038799 Loss_D_fake -0.018317
[1059/5000][470/535][109234] Loss_D: -0.021974 Loss_G: 0.008112 Loss_D_real: -0.029680 Loss_D_fake -0.007706
[1059/5000][475/535][109235] Loss_D: -0.021369 Loss_G: -0.000698 Loss_D_real: -0.009478 Loss_D_fake 0.011891
[1059/5000][480/535][109236] Loss_D: -0.021212 Loss_G: -0.013854 Loss_D_real: -0.000710 Loss_D_fake 0.020501
[1059/5000][485/535][109237] Loss_D: -0.021102 Loss_G: -0.000880 Loss_D_real: -0.021351 Loss_D_fake -0.000249
[1059/5000][490/535][109238] Loss_D: -0.020972 Loss_G: 0.011252 Loss_D_real: -0.012839 Loss_D_fake 0.008133
[1059/5000][495/535][109239] Loss_D: -0.020901 Loss_G: 0.011395 Loss_D_real: -0.009955 Loss_D_fake 0.010946
[1059/5000][500/535][109240] Loss_D: -0.020191 Loss_G: 0.005100 Loss_D_real: -0.007122 Loss_D_fake 0.013069
[1059/5000][505/535][109241] Loss_D: -0.021781 Loss_G: -0.009233 Loss_D_real: -0.014805 Loss_D_fake 0.006976
[1059/5000][510/535][109242] Loss_D: -0.021373 Loss_G: 0.025902 Loss_D_real: -0.030824 Loss_D_fake -0.009451
[1059/5000][515/535][109243] Loss_D: -0.021445 Loss_G: 0.000112 Loss_D_real: -0.015947 Loss_D_fake 0.005498
[1059/5000][520/535][109244] Loss_D: -0.022177 Loss_G: 0.000171 Loss_D_real: -0.018803 Loss_D_fake 0.003374
[1059/5000][525/535][109245] Loss_D: -0.022534 Loss_G: 0.027026 Loss_D_real: -0.030696 Loss_D_fake -0.008162
[1059/5000][530/535][109246] Loss_D: -0.022115 Loss_G: 0.010532 Loss_D_real: -0.025925 Loss_D_fake -0.003810
[1059/5000][535/535][109247] Loss_D: -0.021280 Loss_G: -0.002886 Loss_D_real: -0.026713 Loss_D_fake -0.005433
[1060/5000][5/535][109248] Loss_D: -0.020723 Loss_G: -0.016680 Loss_D_real: 0.014235 Loss_D_fake 0.034958
[1060/5000][10/535][109249] Loss_D: -0.020717 Loss_G: -0.005762 Loss_D_real: -0.000312 Loss_D_fake 0.020405
[1060/5000][15/535][109250] Loss_D: -0.022901 Loss_G: 0.019878 Loss_D_real: -0.018116 Loss_D_fake 0.004785
[1060/5000][20/535][109251] Loss_D: -0.023436 Loss_G: 0.013301 Loss_D_real: -0.019481 Loss_D_fake 0.003956
[1060/5000][25/535][109252] Loss_D: -0.022899 Loss_G: 0.032108 Loss_D_real: -0.027795 Loss_D_fake -0.004896
[1060/5000][30/535][109253] Loss_D: -0.021319 Loss_G: 0.013328 Loss_D_real: -0.012535 Loss_D_fake 0.008784
[1060/5000][35/535][109254] Loss_D: -0.022835 Loss_G: 0.012257 Loss_D_real: -0.020166 Loss_D_fake 0.002669
[1060/5000][40/535][109255] Loss_D: -0.023095 Loss_G: -0.000636 Loss_D_real: -0.012648 Loss_D_fake 0.010447
[1060/5000][45/535][109256] Loss_D: -0.022704 Loss_G: -0.008620 Loss_D_real: -0.002615 Loss_D_fake 0.020088
[1060/5000][50/535][109257] Loss_D: -0.023728 Loss_G: 0.006881 Loss_D_real: -0.023993 Loss_D_fake -0.000265
[1060/5000][55/535][109258] Loss_D: -0.021986 Loss_G: 0.012060 Loss_D_real: -0.033140 Loss_D_fake -0.011154
[1060/5000][60/535][109259] Loss_D: -0.021934 Loss_G: 0.002595 Loss_D_real: -0.026327 Loss_D_fake -0.004393
[1060/5000][65/535][109260] Loss_D: -0.023387 Loss_G: -0.012034 Loss_D_real: -0.004005 Loss_D_fake 0.019382
[1060/5000][70/535][109261] Loss_D: -0.021988 Loss_G: -0.003556 Loss_D_real: -0.003142 Loss_D_fake 0.018846
[1060/5000][75/535][109262] Loss_D: -0.023679 Loss_G: 0.017172 Loss_D_real: -0.021269 Loss_D_fake 0.002410
[1060/5000][80/535][109263] Loss_D: -0.022689 Loss_G: 0.024240 Loss_D_real: -0.017098 Loss_D_fake 0.005591
[1060/5000][85/535][109264] Loss_D: -0.021355 Loss_G: -0.002717 Loss_D_real: -0.012733 Loss_D_fake 0.008622
[1060/5000][90/535][109265] Loss_D: -0.022116 Loss_G: -0.006309 Loss_D_real: -0.017986 Loss_D_fake 0.004131
[1060/5000][95/535][109266] Loss_D: -0.020253 Loss_G: 0.009556 Loss_D_real: -0.019732 Loss_D_fake 0.000522
[1060/5000][100/535][109267] Loss_D: -0.020625 Loss_G: 0.009662 Loss_D_real: -0.023446 Loss_D_fake -0.002821
[1060/5000][105/535][109268] Loss_D: -0.021542 Loss_G: 0.003836 Loss_D_real: -0.005761 Loss_D_fake 0.015781
[1060/5000][110/535][109269] Loss_D: -0.021208 Loss_G: 0.025760 Loss_D_real: -0.022094 Loss_D_fake -0.000887
[1060/5000][115/535][109270] Loss_D: -0.021168 Loss_G: 0.020250 Loss_D_real: -0.006025 Loss_D_fake 0.015142
[1060/5000][120/535][109271] Loss_D: -0.021604 Loss_G: 0.005723 Loss_D_real: -0.018626 Loss_D_fake 0.002978
[1060/5000][125/535][109272] Loss_D: -0.021887 Loss_G: 0.003711 Loss_D_real: -0.016791 Loss_D_fake 0.005097
[1060/5000][130/535][109273] Loss_D: -0.022986 Loss_G: 0.006689 Loss_D_real: -0.015596 Loss_D_fake 0.007390
[1060/5000][135/535][109274] Loss_D: -0.021938 Loss_G: 0.014542 Loss_D_real: -0.024751 Loss_D_fake -0.002813
[1060/5000][140/535][109275] Loss_D: -0.023052 Loss_G: 0.010375 Loss_D_real: -0.010813 Loss_D_fake 0.012239
[1060/5000][145/535][109276] Loss_D: -0.021725 Loss_G: 0.023405 Loss_D_real: -0.030987 Loss_D_fake -0.009262
[1060/5000][150/535][109277] Loss_D: -0.021217 Loss_G: 0.023265 Loss_D_real: -0.031528 Loss_D_fake -0.010311
[1060/5000][155/535][109278] Loss_D: -0.022416 Loss_G: 0.002632 Loss_D_real: -0.032430 Loss_D_fake -0.010014
[1060/5000][160/535][109279] Loss_D: -0.022973 Loss_G: 0.014896 Loss_D_real: -0.029066 Loss_D_fake -0.006093
[1060/5000][165/535][109280] Loss_D: -0.022153 Loss_G: -0.008625 Loss_D_real: 0.002437 Loss_D_fake 0.024590
[1060/5000][170/535][109281] Loss_D: -0.019824 Loss_G: 0.025114 Loss_D_real: -0.027014 Loss_D_fake -0.007191
[1060/5000][175/535][109282] Loss_D: -0.020699 Loss_G: -0.014466 Loss_D_real: 0.004932 Loss_D_fake 0.025631
[1060/5000][180/535][109283] Loss_D: -0.021045 Loss_G: 0.001690 Loss_D_real: -0.019357 Loss_D_fake 0.001688
[1060/5000][185/535][109284] Loss_D: -0.021757 Loss_G: 0.018137 Loss_D_real: -0.015646 Loss_D_fake 0.006111
[1060/5000][190/535][109285] Loss_D: -0.021555 Loss_G: 0.012132 Loss_D_real: -0.020044 Loss_D_fake 0.001511
[1060/5000][195/535][109286] Loss_D: -0.022652 Loss_G: 0.014939 Loss_D_real: -0.020286 Loss_D_fake 0.002366
[1060/5000][200/535][109287] Loss_D: -0.020021 Loss_G: -0.014992 Loss_D_real: 0.002504 Loss_D_fake 0.022526
[1060/5000][205/535][109288] Loss_D: -0.021352 Loss_G: 0.010379 Loss_D_real: -0.029305 Loss_D_fake -0.007953
[1060/5000][210/535][109289] Loss_D: -0.022180 Loss_G: 0.021947 Loss_D_real: -0.019454 Loss_D_fake 0.002726
[1060/5000][215/535][109290] Loss_D: -0.022848 Loss_G: -0.012501 Loss_D_real: -0.010669 Loss_D_fake 0.012179
[1060/5000][220/535][109291] Loss_D: -0.022154 Loss_G: 0.030344 Loss_D_real: -0.019295 Loss_D_fake 0.002860
[1060/5000][225/535][109292] Loss_D: -0.023264 Loss_G: 0.001051 Loss_D_real: -0.015714 Loss_D_fake 0.007551
[1060/5000][230/535][109293] Loss_D: -0.023102 Loss_G: 0.003641 Loss_D_real: -0.011052 Loss_D_fake 0.012050
[1060/5000][235/535][109294] Loss_D: -0.023097 Loss_G: 0.010311 Loss_D_real: -0.005493 Loss_D_fake 0.017604
[1060/5000][240/535][109295] Loss_D: -0.023658 Loss_G: -0.001509 Loss_D_real: -0.008171 Loss_D_fake 0.015487
[1060/5000][245/535][109296] Loss_D: -0.022660 Loss_G: 0.014700 Loss_D_real: -0.022843 Loss_D_fake -0.000183
[1060/5000][250/535][109297] Loss_D: -0.023435 Loss_G: 0.010748 Loss_D_real: -0.006638 Loss_D_fake 0.016796
[1060/5000][255/535][109298] Loss_D: -0.021788 Loss_G: 0.003183 Loss_D_real: -0.009911 Loss_D_fake 0.011877
[1060/5000][260/535][109299] Loss_D: -0.021483 Loss_G: 0.004957 Loss_D_real: -0.019206 Loss_D_fake 0.002277
[1060/5000][265/535][109300] Loss_D: -0.022037 Loss_G: 0.012062 Loss_D_real: -0.013350 Loss_D_fake 0.008687
[1060/5000][270/535][109301] Loss_D: -0.021747 Loss_G: 0.007018 Loss_D_real: -0.017063 Loss_D_fake 0.004684
[1060/5000][275/535][109302] Loss_D: -0.021434 Loss_G: 0.026862 Loss_D_real: -0.019098 Loss_D_fake 0.002336
[1060/5000][280/535][109303] Loss_D: -0.019684 Loss_G: 0.021511 Loss_D_real: -0.027806 Loss_D_fake -0.008122
[1060/5000][285/535][109304] Loss_D: -0.021814 Loss_G: -0.000125 Loss_D_real: -0.013186 Loss_D_fake 0.008628
[1060/5000][290/535][109305] Loss_D: -0.021741 Loss_G: 0.004757 Loss_D_real: -0.024119 Loss_D_fake -0.002378
[1060/5000][295/535][109306] Loss_D: -0.021426 Loss_G: 0.013370 Loss_D_real: -0.032036 Loss_D_fake -0.010610
[1060/5000][300/535][109307] Loss_D: -0.021800 Loss_G: -0.000783 Loss_D_real: -0.015783 Loss_D_fake 0.006016
[1060/5000][305/535][109308] Loss_D: -0.021302 Loss_G: 0.027200 Loss_D_real: -0.027928 Loss_D_fake -0.006626
[1060/5000][310/535][109309] Loss_D: -0.021544 Loss_G: 0.006277 Loss_D_real: -0.013823 Loss_D_fake 0.007722
[1060/5000][315/535][109310] Loss_D: -0.022383 Loss_G: -0.012121 Loss_D_real: -0.021454 Loss_D_fake 0.000929
[1060/5000][320/535][109311] Loss_D: -0.022272 Loss_G: 0.015008 Loss_D_real: -0.030775 Loss_D_fake -0.008504
[1060/5000][325/535][109312] Loss_D: -0.022186 Loss_G: 0.002592 Loss_D_real: -0.016504 Loss_D_fake 0.005681
[1060/5000][330/535][109313] Loss_D: -0.021545 Loss_G: 0.031912 Loss_D_real: -0.027639 Loss_D_fake -0.006093
[1060/5000][335/535][109314] Loss_D: -0.021782 Loss_G: 0.004838 Loss_D_real: -0.007678 Loss_D_fake 0.014103
[1060/5000][340/535][109315] Loss_D: -0.021197 Loss_G: -0.021547 Loss_D_real: 0.006655 Loss_D_fake 0.027852
[1060/5000][345/535][109316] Loss_D: -0.022199 Loss_G: 0.005160 Loss_D_real: -0.006803 Loss_D_fake 0.015396
[1060/5000][350/535][109317] Loss_D: -0.020749 Loss_G: 0.006831 Loss_D_real: -0.018890 Loss_D_fake 0.001860
[1060/5000][355/535][109318] Loss_D: -0.021868 Loss_G: 0.012393 Loss_D_real: -0.030275 Loss_D_fake -0.008407
[1060/5000][360/535][109319] Loss_D: -0.022506 Loss_G: -0.010442 Loss_D_real: 0.005249 Loss_D_fake 0.027755
[1060/5000][365/535][109320] Loss_D: -0.022652 Loss_G: 0.009966 Loss_D_real: -0.016909 Loss_D_fake 0.005743
[1060/5000][370/535][109321] Loss_D: -0.023515 Loss_G: 0.023467 Loss_D_real: -0.033344 Loss_D_fake -0.009829
[1060/5000][375/535][109322] Loss_D: -0.023482 Loss_G: 0.009311 Loss_D_real: -0.002581 Loss_D_fake 0.020901
[1060/5000][380/535][109323] Loss_D: -0.022984 Loss_G: 0.008965 Loss_D_real: -0.014236 Loss_D_fake 0.008748
[1060/5000][385/535][109324] Loss_D: -0.022319 Loss_G: -0.011265 Loss_D_real: -0.003082 Loss_D_fake 0.019237
[1060/5000][390/535][109325] Loss_D: -0.022243 Loss_G: 0.027176 Loss_D_real: -0.022899 Loss_D_fake -0.000656
[1060/5000][395/535][109326] Loss_D: -0.022782 Loss_G: 0.006950 Loss_D_real: -0.020311 Loss_D_fake 0.002471
[1060/5000][400/535][109327] Loss_D: -0.022660 Loss_G: 0.006761 Loss_D_real: -0.012079 Loss_D_fake 0.010581
[1060/5000][405/535][109328] Loss_D: -0.022591 Loss_G: 0.019396 Loss_D_real: -0.024854 Loss_D_fake -0.002264
[1060/5000][410/535][109329] Loss_D: -0.022502 Loss_G: 0.018218 Loss_D_real: -0.021819 Loss_D_fake 0.000683
[1060/5000][415/535][109330] Loss_D: -0.021269 Loss_G: 0.007519 Loss_D_real: -0.029234 Loss_D_fake -0.007965
[1060/5000][420/535][109331] Loss_D: -0.021458 Loss_G: 0.002732 Loss_D_real: -0.008358 Loss_D_fake 0.013099
[1060/5000][425/535][109332] Loss_D: -0.021501 Loss_G: 0.024970 Loss_D_real: -0.024847 Loss_D_fake -0.003345
[1060/5000][430/535][109333] Loss_D: -0.022611 Loss_G: -0.003763 Loss_D_real: -0.028356 Loss_D_fake -0.005745
[1060/5000][435/535][109334] Loss_D: -0.022208 Loss_G: 0.008635 Loss_D_real: -0.013409 Loss_D_fake 0.008798
[1060/5000][440/535][109335] Loss_D: -0.022382 Loss_G: 0.026209 Loss_D_real: -0.026658 Loss_D_fake -0.004276
[1060/5000][445/535][109336] Loss_D: -0.019885 Loss_G: 0.025917 Loss_D_real: -0.031257 Loss_D_fake -0.011372
[1060/5000][450/535][109337] Loss_D: -0.021682 Loss_G: -0.000211 Loss_D_real: -0.002468 Loss_D_fake 0.019214
[1060/5000][455/535][109338] Loss_D: -0.020474 Loss_G: 0.008945 Loss_D_real: -0.027969 Loss_D_fake -0.007495
[1060/5000][460/535][109339] Loss_D: -0.022858 Loss_G: 0.003703 Loss_D_real: -0.017839 Loss_D_fake 0.005019
[1060/5000][465/535][109340] Loss_D: -0.021987 Loss_G: 0.001775 Loss_D_real: -0.015058 Loss_D_fake 0.006929
[1060/5000][470/535][109341] Loss_D: -0.021983 Loss_G: 0.013388 Loss_D_real: -0.027294 Loss_D_fake -0.005312
[1060/5000][475/535][109342] Loss_D: -0.023552 Loss_G: 0.005889 Loss_D_real: -0.017593 Loss_D_fake 0.005959
[1060/5000][480/535][109343] Loss_D: -0.021537 Loss_G: 0.004742 Loss_D_real: -0.025105 Loss_D_fake -0.003568
[1060/5000][485/535][109344] Loss_D: -0.023064 Loss_G: 0.012958 Loss_D_real: -0.014038 Loss_D_fake 0.009025
[1060/5000][490/535][109345] Loss_D: -0.022942 Loss_G: -0.005918 Loss_D_real: -0.005710 Loss_D_fake 0.017231
[1060/5000][495/535][109346] Loss_D: -0.022526 Loss_G: 0.028654 Loss_D_real: -0.032876 Loss_D_fake -0.010350
[1060/5000][500/535][109347] Loss_D: -0.022318 Loss_G: -0.005354 Loss_D_real: -0.008871 Loss_D_fake 0.013447
[1060/5000][505/535][109348] Loss_D: -0.020184 Loss_G: 0.018944 Loss_D_real: -0.016855 Loss_D_fake 0.003329
[1060/5000][510/535][109349] Loss_D: -0.021480 Loss_G: 0.018734 Loss_D_real: -0.024127 Loss_D_fake -0.002647
[1060/5000][515/535][109350] Loss_D: -0.023113 Loss_G: 0.007970 Loss_D_real: -0.015953 Loss_D_fake 0.007160
[1060/5000][520/535][109351] Loss_D: -0.021116 Loss_G: 0.020839 Loss_D_real: -0.025179 Loss_D_fake -0.004063
[1060/5000][525/535][109352] Loss_D: -0.021799 Loss_G: -0.001080 Loss_D_real: -0.013058 Loss_D_fake 0.008741
[1060/5000][530/535][109353] Loss_D: -0.023251 Loss_G: 0.014571 Loss_D_real: -0.016779 Loss_D_fake 0.006472
[1060/5000][535/535][109354] Loss_D: -0.023702 Loss_G: 0.030570 Loss_D_real: -0.017112 Loss_D_fake 0.006590
[1061/5000][5/535][109355] Loss_D: -0.021500 Loss_G: 0.002630 Loss_D_real: -0.018829 Loss_D_fake 0.002672
[1061/5000][10/535][109356] Loss_D: -0.022468 Loss_G: 0.017495 Loss_D_real: -0.017525 Loss_D_fake 0.004943
[1061/5000][15/535][109357] Loss_D: -0.021569 Loss_G: 0.022630 Loss_D_real: -0.040088 Loss_D_fake -0.018519
[1061/5000][20/535][109358] Loss_D: -0.020986 Loss_G: -0.009895 Loss_D_real: -0.001462 Loss_D_fake 0.019524
[1061/5000][25/535][109359] Loss_D: -0.021601 Loss_G: 0.006752 Loss_D_real: -0.017758 Loss_D_fake 0.003843
[1061/5000][30/535][109360] Loss_D: -0.021711 Loss_G: 0.017657 Loss_D_real: -0.030260 Loss_D_fake -0.008549
[1061/5000][35/535][109361] Loss_D: -0.023101 Loss_G: 0.004088 Loss_D_real: -0.018005 Loss_D_fake 0.005095
[1061/5000][40/535][109362] Loss_D: -0.023501 Loss_G: 0.008618 Loss_D_real: -0.015378 Loss_D_fake 0.008123
[1061/5000][45/535][109363] Loss_D: -0.022285 Loss_G: 0.001213 Loss_D_real: -0.016340 Loss_D_fake 0.005945
[1061/5000][50/535][109364] Loss_D: -0.020739 Loss_G: -0.012925 Loss_D_real: 0.002216 Loss_D_fake 0.022955
[1061/5000][55/535][109365] Loss_D: -0.021435 Loss_G: -0.000362 Loss_D_real: -0.023985 Loss_D_fake -0.002550
[1061/5000][60/535][109366] Loss_D: -0.022978 Loss_G: 0.008045 Loss_D_real: -0.009903 Loss_D_fake 0.013075
[1061/5000][65/535][109367] Loss_D: -0.021754 Loss_G: 0.003622 Loss_D_real: -0.016151 Loss_D_fake 0.005604
[1061/5000][70/535][109368] Loss_D: -0.022672 Loss_G: -0.001974 Loss_D_real: -0.020313 Loss_D_fake 0.002359
[1061/5000][75/535][109369] Loss_D: -0.022349 Loss_G: 0.018603 Loss_D_real: -0.023914 Loss_D_fake -0.001565
[1061/5000][80/535][109370] Loss_D: -0.022858 Loss_G: 0.026386 Loss_D_real: -0.014634 Loss_D_fake 0.008224
[1061/5000][85/535][109371] Loss_D: -0.021937 Loss_G: 0.005495 Loss_D_real: -0.015384 Loss_D_fake 0.006554
[1061/5000][90/535][109372] Loss_D: -0.022527 Loss_G: 0.014219 Loss_D_real: -0.035179 Loss_D_fake -0.012652
[1061/5000][95/535][109373] Loss_D: -0.023809 Loss_G: -0.017284 Loss_D_real: -0.015008 Loss_D_fake 0.008802
[1061/5000][100/535][109374] Loss_D: -0.024271 Loss_G: 0.017274 Loss_D_real: -0.010146 Loss_D_fake 0.014125
[1061/5000][105/535][109375] Loss_D: -0.023573 Loss_G: 0.016393 Loss_D_real: -0.028514 Loss_D_fake -0.004942
[1061/5000][110/535][109376] Loss_D: -0.023271 Loss_G: -0.003241 Loss_D_real: -0.009323 Loss_D_fake 0.013948
[1061/5000][115/535][109377] Loss_D: -0.022837 Loss_G: 0.017377 Loss_D_real: -0.023024 Loss_D_fake -0.000186
[1061/5000][120/535][109378] Loss_D: -0.022299 Loss_G: -0.011412 Loss_D_real: -0.000043 Loss_D_fake 0.022256
[1061/5000][125/535][109379] Loss_D: -0.021883 Loss_G: 0.010474 Loss_D_real: -0.011250 Loss_D_fake 0.010633
[1061/5000][130/535][109380] Loss_D: -0.022414 Loss_G: 0.008201 Loss_D_real: -0.013018 Loss_D_fake 0.009397
[1061/5000][135/535][109381] Loss_D: -0.022218 Loss_G: 0.004573 Loss_D_real: -0.018474 Loss_D_fake 0.003744
[1061/5000][140/535][109382] Loss_D: -0.022950 Loss_G: -0.005438 Loss_D_real: -0.007698 Loss_D_fake 0.015252
[1061/5000][145/535][109383] Loss_D: -0.021839 Loss_G: 0.023169 Loss_D_real: -0.024117 Loss_D_fake -0.002278
[1061/5000][150/535][109384] Loss_D: -0.022462 Loss_G: -0.001551 Loss_D_real: -0.012150 Loss_D_fake 0.010311
[1061/5000][155/535][109385] Loss_D: -0.020263 Loss_G: -0.019616 Loss_D_real: 0.009653 Loss_D_fake 0.029916
[1061/5000][160/535][109386] Loss_D: -0.021385 Loss_G: 0.006926 Loss_D_real: -0.017570 Loss_D_fake 0.003816
[1061/5000][165/535][109387] Loss_D: -0.021971 Loss_G: -0.006720 Loss_D_real: 0.005273 Loss_D_fake 0.027244
[1061/5000][170/535][109388] Loss_D: -0.021524 Loss_G: 0.033147 Loss_D_real: -0.029700 Loss_D_fake -0.008175
[1061/5000][175/535][109389] Loss_D: -0.021419 Loss_G: 0.009052 Loss_D_real: -0.018560 Loss_D_fake 0.002859
[1061/5000][180/535][109390] Loss_D: -0.022395 Loss_G: -0.003781 Loss_D_real: -0.011100 Loss_D_fake 0.011295
[1061/5000][185/535][109391] Loss_D: -0.021436 Loss_G: -0.007138 Loss_D_real: -0.012503 Loss_D_fake 0.008934
[1061/5000][190/535][109392] Loss_D: -0.022785 Loss_G: 0.007582 Loss_D_real: -0.015065 Loss_D_fake 0.007719
[1061/5000][195/535][109393] Loss_D: -0.021581 Loss_G: 0.002357 Loss_D_real: -0.020145 Loss_D_fake 0.001437
[1061/5000][200/535][109394] Loss_D: -0.021198 Loss_G: 0.023399 Loss_D_real: -0.027590 Loss_D_fake -0.006392
[1061/5000][205/535][109395] Loss_D: -0.021370 Loss_G: -0.008782 Loss_D_real: -0.015695 Loss_D_fake 0.005674
[1061/5000][210/535][109396] Loss_D: -0.022171 Loss_G: -0.000895 Loss_D_real: -0.009462 Loss_D_fake 0.012709
[1061/5000][215/535][109397] Loss_D: -0.023306 Loss_G: 0.000245 Loss_D_real: -0.009359 Loss_D_fake 0.013948
[1061/5000][220/535][109398] Loss_D: -0.022781 Loss_G: 0.007569 Loss_D_real: -0.022485 Loss_D_fake 0.000296
[1061/5000][225/535][109399] Loss_D: -0.021410 Loss_G: -0.002203 Loss_D_real: -0.012733 Loss_D_fake 0.008677
[1061/5000][230/535][109400] Loss_D: -0.022593 Loss_G: 0.017981 Loss_D_real: -0.027263 Loss_D_fake -0.004670
[1061/5000][235/535][109401] Loss_D: -0.024424 Loss_G: 0.015571 Loss_D_real: -0.011664 Loss_D_fake 0.012760
[1061/5000][240/535][109402] Loss_D: -0.021953 Loss_G: -0.010064 Loss_D_real: -0.007500 Loss_D_fake 0.014453
[1061/5000][245/535][109403] Loss_D: -0.022307 Loss_G: 0.026081 Loss_D_real: -0.032206 Loss_D_fake -0.009899
[1061/5000][250/535][109404] Loss_D: -0.022576 Loss_G: 0.003425 Loss_D_real: -0.008756 Loss_D_fake 0.013820
[1061/5000][255/535][109405] Loss_D: -0.021945 Loss_G: 0.018583 Loss_D_real: -0.028611 Loss_D_fake -0.006666
[1061/5000][260/535][109406] Loss_D: -0.021495 Loss_G: 0.002918 Loss_D_real: -0.009110 Loss_D_fake 0.012385
[1061/5000][265/535][109407] Loss_D: -0.021503 Loss_G: -0.002926 Loss_D_real: -0.000465 Loss_D_fake 0.021038
[1061/5000][270/535][109408] Loss_D: -0.023641 Loss_G: 0.008303 Loss_D_real: -0.012767 Loss_D_fake 0.010875
[1061/5000][275/535][109409] Loss_D: -0.020733 Loss_G: 0.025534 Loss_D_real: -0.021699 Loss_D_fake -0.000966
[1061/5000][280/535][109410] Loss_D: -0.020790 Loss_G: 0.002860 Loss_D_real: -0.020594 Loss_D_fake 0.000196
[1061/5000][285/535][109411] Loss_D: -0.023296 Loss_G: -0.003600 Loss_D_real: -0.011909 Loss_D_fake 0.011386
[1061/5000][290/535][109412] Loss_D: -0.023220 Loss_G: -0.002483 Loss_D_real: -0.017517 Loss_D_fake 0.005702
[1061/5000][295/535][109413] Loss_D: -0.021210 Loss_G: 0.027986 Loss_D_real: -0.028117 Loss_D_fake -0.006906
[1061/5000][300/535][109414] Loss_D: -0.020912 Loss_G: 0.000253 Loss_D_real: -0.005519 Loss_D_fake 0.015393
[1061/5000][305/535][109415] Loss_D: -0.022656 Loss_G: 0.001898 Loss_D_real: -0.017206 Loss_D_fake 0.005450
[1061/5000][310/535][109416] Loss_D: -0.023328 Loss_G: 0.000233 Loss_D_real: -0.009790 Loss_D_fake 0.013538
[1061/5000][315/535][109417] Loss_D: -0.021612 Loss_G: 0.017131 Loss_D_real: -0.021442 Loss_D_fake 0.000170
[1061/5000][320/535][109418] Loss_D: -0.023230 Loss_G: -0.004391 Loss_D_real: -0.013804 Loss_D_fake 0.009426
[1061/5000][325/535][109419] Loss_D: -0.022510 Loss_G: 0.003745 Loss_D_real: -0.012610 Loss_D_fake 0.009899
[1061/5000][330/535][109420] Loss_D: -0.021793 Loss_G: 0.024871 Loss_D_real: -0.019143 Loss_D_fake 0.002650
[1061/5000][335/535][109421] Loss_D: -0.021174 Loss_G: -0.015165 Loss_D_real: 0.003739 Loss_D_fake 0.024914
[1061/5000][340/535][109422] Loss_D: -0.021528 Loss_G: 0.015894 Loss_D_real: -0.015628 Loss_D_fake 0.005901
[1061/5000][345/535][109423] Loss_D: -0.022503 Loss_G: 0.014245 Loss_D_real: -0.032809 Loss_D_fake -0.010306
[1061/5000][350/535][109424] Loss_D: -0.020911 Loss_G: 0.024086 Loss_D_real: -0.026052 Loss_D_fake -0.005142
[1061/5000][355/535][109425] Loss_D: -0.022164 Loss_G: 0.010156 Loss_D_real: -0.014306 Loss_D_fake 0.007858
[1061/5000][360/535][109426] Loss_D: -0.022092 Loss_G: 0.011505 Loss_D_real: -0.012640 Loss_D_fake 0.009452
[1061/5000][365/535][109427] Loss_D: -0.021790 Loss_G: 0.019342 Loss_D_real: -0.016725 Loss_D_fake 0.005065
[1061/5000][370/535][109428] Loss_D: -0.021511 Loss_G: 0.012233 Loss_D_real: -0.017030 Loss_D_fake 0.004481
[1061/5000][375/535][109429] Loss_D: -0.021870 Loss_G: 0.014862 Loss_D_real: -0.030412 Loss_D_fake -0.008542
[1061/5000][380/535][109430] Loss_D: -0.019267 Loss_G: 0.027280 Loss_D_real: -0.035017 Loss_D_fake -0.015750
[1061/5000][385/535][109431] Loss_D: -0.023383 Loss_G: -0.004436 Loss_D_real: -0.014540 Loss_D_fake 0.008843
[1061/5000][390/535][109432] Loss_D: -0.020689 Loss_G: -0.012142 Loss_D_real: 0.001067 Loss_D_fake 0.021756
[1061/5000][395/535][109433] Loss_D: -0.021748 Loss_G: 0.028282 Loss_D_real: -0.037357 Loss_D_fake -0.015609
[1061/5000][400/535][109434] Loss_D: -0.022931 Loss_G: 0.013357 Loss_D_real: -0.019008 Loss_D_fake 0.003924
[1061/5000][405/535][109435] Loss_D: -0.023363 Loss_G: 0.013792 Loss_D_real: -0.023455 Loss_D_fake -0.000092
[1061/5000][410/535][109436] Loss_D: -0.022656 Loss_G: 0.020644 Loss_D_real: -0.031891 Loss_D_fake -0.009235
[1061/5000][415/535][109437] Loss_D: -0.021298 Loss_G: 0.027426 Loss_D_real: -0.039312 Loss_D_fake -0.018014
[1061/5000][420/535][109438] Loss_D: -0.021697 Loss_G: 0.018531 Loss_D_real: -0.037076 Loss_D_fake -0.015379
[1061/5000][425/535][109439] Loss_D: -0.022753 Loss_G: 0.005336 Loss_D_real: -0.015852 Loss_D_fake 0.006901
[1061/5000][430/535][109440] Loss_D: -0.022690 Loss_G: -0.007983 Loss_D_real: -0.013345 Loss_D_fake 0.009344
[1061/5000][435/535][109441] Loss_D: -0.022578 Loss_G: 0.012610 Loss_D_real: -0.011604 Loss_D_fake 0.010974
[1061/5000][440/535][109442] Loss_D: -0.020842 Loss_G: 0.017294 Loss_D_real: -0.019267 Loss_D_fake 0.001576
[1061/5000][445/535][109443] Loss_D: -0.021313 Loss_G: 0.022567 Loss_D_real: -0.016829 Loss_D_fake 0.004484
[1061/5000][450/535][109444] Loss_D: -0.020824 Loss_G: 0.028508 Loss_D_real: -0.034213 Loss_D_fake -0.013389
[1061/5000][455/535][109445] Loss_D: -0.021192 Loss_G: -0.006638 Loss_D_real: -0.007604 Loss_D_fake 0.013588
[1061/5000][460/535][109446] Loss_D: -0.022147 Loss_G: 0.010473 Loss_D_real: -0.023145 Loss_D_fake -0.000998
[1061/5000][465/535][109447] Loss_D: -0.021926 Loss_G: 0.003792 Loss_D_real: -0.017008 Loss_D_fake 0.004919
[1061/5000][470/535][109448] Loss_D: -0.024057 Loss_G: 0.010658 Loss_D_real: -0.025609 Loss_D_fake -0.001552
[1061/5000][475/535][109449] Loss_D: -0.020852 Loss_G: 0.012260 Loss_D_real: -0.026423 Loss_D_fake -0.005571
[1061/5000][480/535][109450] Loss_D: -0.023235 Loss_G: 0.013259 Loss_D_real: -0.017010 Loss_D_fake 0.006225
[1061/5000][485/535][109451] Loss_D: -0.022582 Loss_G: 0.026123 Loss_D_real: -0.019478 Loss_D_fake 0.003104
[1061/5000][490/535][109452] Loss_D: -0.021027 Loss_G: -0.011039 Loss_D_real: -0.006215 Loss_D_fake 0.014812
[1061/5000][495/535][109453] Loss_D: -0.020930 Loss_G: 0.011416 Loss_D_real: -0.007316 Loss_D_fake 0.013615
[1061/5000][500/535][109454] Loss_D: -0.022328 Loss_G: 0.001079 Loss_D_real: -0.002268 Loss_D_fake 0.020060
[1061/5000][505/535][109455] Loss_D: -0.021215 Loss_G: 0.013435 Loss_D_real: -0.018828 Loss_D_fake 0.002387
[1061/5000][510/535][109456] Loss_D: -0.021646 Loss_G: -0.004421 Loss_D_real: -0.013642 Loss_D_fake 0.008004
[1061/5000][515/535][109457] Loss_D: -0.023836 Loss_G: 0.030038 Loss_D_real: -0.020599 Loss_D_fake 0.003237
[1061/5000][520/535][109458] Loss_D: -0.021073 Loss_G: -0.009889 Loss_D_real: -0.006832 Loss_D_fake 0.014240
[1061/5000][525/535][109459] Loss_D: -0.021798 Loss_G: 0.018882 Loss_D_real: -0.024095 Loss_D_fake -0.002297
[1061/5000][530/535][109460] Loss_D: -0.021235 Loss_G: -0.004836 Loss_D_real: -0.007261 Loss_D_fake 0.013974
[1061/5000][535/535][109461] Loss_D: -0.021905 Loss_G: 0.012566 Loss_D_real: -0.021942 Loss_D_fake -0.000036
[1062/5000][5/535][109462] Loss_D: -0.023104 Loss_G: -0.017023 Loss_D_real: -0.001452 Loss_D_fake 0.021652
[1062/5000][10/535][109463] Loss_D: -0.022968 Loss_G: 0.015643 Loss_D_real: -0.032540 Loss_D_fake -0.009572
[1062/5000][15/535][109464] Loss_D: -0.022818 Loss_G: 0.011158 Loss_D_real: -0.012611 Loss_D_fake 0.010206
[1062/5000][20/535][109465] Loss_D: -0.024529 Loss_G: -0.004874 Loss_D_real: -0.010310 Loss_D_fake 0.014219
[1062/5000][25/535][109466] Loss_D: -0.023301 Loss_G: 0.023045 Loss_D_real: -0.018555 Loss_D_fake 0.004746
[1062/5000][30/535][109467] Loss_D: -0.022813 Loss_G: 0.005804 Loss_D_real: -0.009035 Loss_D_fake 0.013779
[1062/5000][35/535][109468] Loss_D: -0.023001 Loss_G: -0.009803 Loss_D_real: -0.006744 Loss_D_fake 0.016257
[1062/5000][40/535][109469] Loss_D: -0.022256 Loss_G: 0.005723 Loss_D_real: -0.023698 Loss_D_fake -0.001443
[1062/5000][45/535][109470] Loss_D: -0.022511 Loss_G: 0.025761 Loss_D_real: -0.026532 Loss_D_fake -0.004020
[1062/5000][50/535][109471] Loss_D: -0.022346 Loss_G: 0.020973 Loss_D_real: -0.025618 Loss_D_fake -0.003273
[1062/5000][55/535][109472] Loss_D: -0.022568 Loss_G: 0.001521 Loss_D_real: -0.011477 Loss_D_fake 0.011090
[1062/5000][60/535][109473] Loss_D: -0.022377 Loss_G: -0.002639 Loss_D_real: -0.021301 Loss_D_fake 0.001077
[1062/5000][65/535][109474] Loss_D: -0.021619 Loss_G: -0.004808 Loss_D_real: -0.007663 Loss_D_fake 0.013956
[1062/5000][70/535][109475] Loss_D: -0.020686 Loss_G: 0.002916 Loss_D_real: -0.020069 Loss_D_fake 0.000617
[1062/5000][75/535][109476] Loss_D: -0.021551 Loss_G: 0.007760 Loss_D_real: -0.015114 Loss_D_fake 0.006437
[1062/5000][80/535][109477] Loss_D: -0.021969 Loss_G: 0.001913 Loss_D_real: -0.027514 Loss_D_fake -0.005546
[1062/5000][85/535][109478] Loss_D: -0.023309 Loss_G: -0.004711 Loss_D_real: -0.008192 Loss_D_fake 0.015117
[1062/5000][90/535][109479] Loss_D: -0.020591 Loss_G: -0.012299 Loss_D_real: -0.003874 Loss_D_fake 0.016717
[1062/5000][95/535][109480] Loss_D: -0.022118 Loss_G: 0.027536 Loss_D_real: -0.027532 Loss_D_fake -0.005414
[1062/5000][100/535][109481] Loss_D: -0.022264 Loss_G: 0.003623 Loss_D_real: -0.015839 Loss_D_fake 0.006425
[1062/5000][105/535][109482] Loss_D: -0.022341 Loss_G: 0.014743 Loss_D_real: -0.023424 Loss_D_fake -0.001083
[1062/5000][110/535][109483] Loss_D: -0.022565 Loss_G: 0.005536 Loss_D_real: -0.016870 Loss_D_fake 0.005695
[1062/5000][115/535][109484] Loss_D: -0.021928 Loss_G: 0.015959 Loss_D_real: -0.036928 Loss_D_fake -0.015001
[1062/5000][120/535][109485] Loss_D: -0.020803 Loss_G: 0.006693 Loss_D_real: -0.006499 Loss_D_fake 0.014304
[1062/5000][125/535][109486] Loss_D: -0.021403 Loss_G: 0.017451 Loss_D_real: -0.024723 Loss_D_fake -0.003320
[1062/5000][130/535][109487] Loss_D: -0.021774 Loss_G: -0.013758 Loss_D_real: -0.007963 Loss_D_fake 0.013810
[1062/5000][135/535][109488] Loss_D: -0.022032 Loss_G: 0.020424 Loss_D_real: -0.037679 Loss_D_fake -0.015647
[1062/5000][140/535][109489] Loss_D: -0.022415 Loss_G: 0.014168 Loss_D_real: -0.032175 Loss_D_fake -0.009759
[1062/5000][145/535][109490] Loss_D: -0.023912 Loss_G: 0.002294 Loss_D_real: -0.021382 Loss_D_fake 0.002530
[1062/5000][150/535][109491] Loss_D: -0.022894 Loss_G: 0.019310 Loss_D_real: -0.030183 Loss_D_fake -0.007289
[1062/5000][155/535][109492] Loss_D: -0.022712 Loss_G: 0.017900 Loss_D_real: -0.016259 Loss_D_fake 0.006453
[1062/5000][160/535][109493] Loss_D: -0.022803 Loss_G: 0.006771 Loss_D_real: -0.021820 Loss_D_fake 0.000983
[1062/5000][165/535][109494] Loss_D: -0.020827 Loss_G: 0.021750 Loss_D_real: -0.031081 Loss_D_fake -0.010254
[1062/5000][170/535][109495] Loss_D: -0.022464 Loss_G: 0.007487 Loss_D_real: -0.023122 Loss_D_fake -0.000657
[1062/5000][175/535][109496] Loss_D: -0.022583 Loss_G: 0.017376 Loss_D_real: -0.026150 Loss_D_fake -0.003567
[1062/5000][180/535][109497] Loss_D: -0.023142 Loss_G: -0.002773 Loss_D_real: -0.012113 Loss_D_fake 0.011028
[1062/5000][185/535][109498] Loss_D: -0.022395 Loss_G: 0.009857 Loss_D_real: -0.027026 Loss_D_fake -0.004630
[1062/5000][190/535][109499] Loss_D: -0.021326 Loss_G: 0.016298 Loss_D_real: -0.031268 Loss_D_fake -0.009942
[1062/5000][195/535][109500] Loss_D: -0.022803 Loss_G: -0.014263 Loss_D_real: -0.008823 Loss_D_fake 0.013980
[1062/5000][295/535][109501] Loss_D: -0.028324 Loss_G: 0.000791 Loss_D_real: -0.005923 Loss_D_fake 0.022401
[1062/5000][300/535][109502] Loss_D: -0.024185 Loss_G: 0.012465 Loss_D_real: -0.022800 Loss_D_fake 0.001386
[1062/5000][305/535][109503] Loss_D: -0.020116 Loss_G: 0.009235 Loss_D_real: -0.023861 Loss_D_fake -0.003745
[1062/5000][310/535][109504] Loss_D: -0.019191 Loss_G: 0.021832 Loss_D_real: -0.024013 Loss_D_fake -0.004822
[1062/5000][315/535][109505] Loss_D: -0.020688 Loss_G: 0.006650 Loss_D_real: -0.019410 Loss_D_fake 0.001277
[1062/5000][320/535][109506] Loss_D: -0.020990 Loss_G: -0.006113 Loss_D_real: -0.014156 Loss_D_fake 0.006834
[1062/5000][325/535][109507] Loss_D: -0.021513 Loss_G: 0.007409 Loss_D_real: -0.018806 Loss_D_fake 0.002707
[1062/5000][330/535][109508] Loss_D: -0.020244 Loss_G: 0.026097 Loss_D_real: -0.024020 Loss_D_fake -0.003776
[1062/5000][335/535][109509] Loss_D: -0.021312 Loss_G: 0.006342 Loss_D_real: -0.015544 Loss_D_fake 0.005768
[1062/5000][340/535][109510] Loss_D: -0.022838 Loss_G: 0.004822 Loss_D_real: -0.020723 Loss_D_fake 0.002116
[1062/5000][345/535][109511] Loss_D: -0.023040 Loss_G: 0.006804 Loss_D_real: -0.013716 Loss_D_fake 0.009324
[1062/5000][350/535][109512] Loss_D: -0.021705 Loss_G: 0.007194 Loss_D_real: -0.026766 Loss_D_fake -0.005061
[1062/5000][355/535][109513] Loss_D: -0.020001 Loss_G: 0.013696 Loss_D_real: -0.034126 Loss_D_fake -0.014125
[1062/5000][360/535][109514] Loss_D: -0.021796 Loss_G: -0.006765 Loss_D_real: -0.015971 Loss_D_fake 0.005825
[1062/5000][365/535][109515] Loss_D: -0.023812 Loss_G: 0.020839 Loss_D_real: -0.012417 Loss_D_fake 0.011396
[1062/5000][370/535][109516] Loss_D: -0.022177 Loss_G: 0.006886 Loss_D_real: -0.013867 Loss_D_fake 0.008310
[1062/5000][375/535][109517] Loss_D: -0.022167 Loss_G: 0.018278 Loss_D_real: -0.018118 Loss_D_fake 0.004049
[1062/5000][380/535][109518] Loss_D: -0.021886 Loss_G: 0.014976 Loss_D_real: -0.016783 Loss_D_fake 0.005103
[1062/5000][385/535][109519] Loss_D: -0.020602 Loss_G: 0.013019 Loss_D_real: -0.023650 Loss_D_fake -0.003048
[1062/5000][390/535][109520] Loss_D: -0.020974 Loss_G: 0.017913 Loss_D_real: -0.023129 Loss_D_fake -0.002155
[1062/5000][395/535][109521] Loss_D: -0.021426 Loss_G: -0.010207 Loss_D_real: -0.005721 Loss_D_fake 0.015706
[1062/5000][400/535][109522] Loss_D: -0.021301 Loss_G: 0.008719 Loss_D_real: -0.019834 Loss_D_fake 0.001467
[1062/5000][405/535][109523] Loss_D: -0.020164 Loss_G: 0.026976 Loss_D_real: -0.032361 Loss_D_fake -0.012197
[1062/5000][410/535][109524] Loss_D: -0.019924 Loss_G: 0.023456 Loss_D_real: -0.028868 Loss_D_fake -0.008945
[1062/5000][415/535][109525] Loss_D: -0.022025 Loss_G: 0.012405 Loss_D_real: -0.024479 Loss_D_fake -0.002454
[1062/5000][420/535][109526] Loss_D: -0.020893 Loss_G: 0.009340 Loss_D_real: -0.010099 Loss_D_fake 0.010794
[1062/5000][425/535][109527] Loss_D: -0.022404 Loss_G: 0.001876 Loss_D_real: -0.000542 Loss_D_fake 0.021862
[1062/5000][430/535][109528] Loss_D: -0.023383 Loss_G: 0.005762 Loss_D_real: -0.021016 Loss_D_fake 0.002367
[1062/5000][435/535][109529] Loss_D: -0.021182 Loss_G: 0.003286 Loss_D_real: -0.003587 Loss_D_fake 0.017596
[1062/5000][440/535][109530] Loss_D: -0.021895 Loss_G: -0.011944 Loss_D_real: -0.005200 Loss_D_fake 0.016694
[1062/5000][445/535][109531] Loss_D: -0.022027 Loss_G: 0.018813 Loss_D_real: -0.020962 Loss_D_fake 0.001065
[1062/5000][450/535][109532] Loss_D: -0.021880 Loss_G: 0.010246 Loss_D_real: -0.023133 Loss_D_fake -0.001254
[1062/5000][455/535][109533] Loss_D: -0.021969 Loss_G: 0.008932 Loss_D_real: -0.019803 Loss_D_fake 0.002166
[1062/5000][460/535][109534] Loss_D: -0.022107 Loss_G: -0.008676 Loss_D_real: -0.004078 Loss_D_fake 0.018029
[1062/5000][465/535][109535] Loss_D: -0.019488 Loss_G: 0.026470 Loss_D_real: -0.031915 Loss_D_fake -0.012428
[1062/5000][470/535][109536] Loss_D: -0.023099 Loss_G: 0.022428 Loss_D_real: -0.021768 Loss_D_fake 0.001332
[1062/5000][475/535][109537] Loss_D: -0.023158 Loss_G: 0.013445 Loss_D_real: -0.029402 Loss_D_fake -0.006244
[1062/5000][480/535][109538] Loss_D: -0.022402 Loss_G: 0.006211 Loss_D_real: -0.019975 Loss_D_fake 0.002428
[1062/5000][485/535][109539] Loss_D: -0.021769 Loss_G: 0.011672 Loss_D_real: -0.025755 Loss_D_fake -0.003986
[1062/5000][490/535][109540] Loss_D: -0.023534 Loss_G: 0.010508 Loss_D_real: -0.019521 Loss_D_fake 0.004013
[1062/5000][495/535][109541] Loss_D: -0.022764 Loss_G: -0.002743 Loss_D_real: -0.002743 Loss_D_fake 0.020021
[1062/5000][500/535][109542] Loss_D: -0.021555 Loss_G: 0.007745 Loss_D_real: -0.016625 Loss_D_fake 0.004930
[1062/5000][505/535][109543] Loss_D: -0.022362 Loss_G: -0.002724 Loss_D_real: -0.012940 Loss_D_fake 0.009422
[1062/5000][510/535][109544] Loss_D: -0.021227 Loss_G: 0.015780 Loss_D_real: -0.037102 Loss_D_fake -0.015875
[1062/5000][515/535][109545] Loss_D: -0.022576 Loss_G: 0.014453 Loss_D_real: -0.016978 Loss_D_fake 0.005599
[1062/5000][520/535][109546] Loss_D: -0.020992 Loss_G: 0.035008 Loss_D_real: -0.031866 Loss_D_fake -0.010874
[1062/5000][525/535][109547] Loss_D: -0.021466 Loss_G: -0.002179 Loss_D_real: -0.014764 Loss_D_fake 0.006702
[1062/5000][530/535][109548] Loss_D: -0.023702 Loss_G: 0.003000 Loss_D_real: -0.000138 Loss_D_fake 0.023563
[1062/5000][535/535][109549] Loss_D: -0.022155 Loss_G: 0.016336 Loss_D_real: -0.018578 Loss_D_fake 0.003578
[1063/5000][5/535][109550] Loss_D: -0.023023 Loss_G: 0.003228 Loss_D_real: -0.006886 Loss_D_fake 0.016137
[1063/5000][10/535][109551] Loss_D: -0.020089 Loss_G: 0.019305 Loss_D_real: -0.023266 Loss_D_fake -0.003177
[1063/5000][15/535][109552] Loss_D: -0.020242 Loss_G: 0.028505 Loss_D_real: -0.035629 Loss_D_fake -0.015387
[1063/5000][20/535][109553] Loss_D: -0.021789 Loss_G: -0.011382 Loss_D_real: -0.009594 Loss_D_fake 0.012195
[1063/5000][25/535][109554] Loss_D: -0.021955 Loss_G: 0.005355 Loss_D_real: -0.021834 Loss_D_fake 0.000120
[1063/5000][30/535][109555] Loss_D: -0.021221 Loss_G: 0.006371 Loss_D_real: -0.010426 Loss_D_fake 0.010795
[1063/5000][35/535][109556] Loss_D: -0.021912 Loss_G: -0.006250 Loss_D_real: -0.001402 Loss_D_fake 0.020510
[1063/5000][40/535][109557] Loss_D: -0.022063 Loss_G: 0.014749 Loss_D_real: -0.020834 Loss_D_fake 0.001230
[1063/5000][45/535][109558] Loss_D: -0.022911 Loss_G: 0.000294 Loss_D_real: -0.009139 Loss_D_fake 0.013772
[1063/5000][50/535][109559] Loss_D: -0.021396 Loss_G: 0.018156 Loss_D_real: -0.031626 Loss_D_fake -0.010230
[1063/5000][55/535][109560] Loss_D: -0.022287 Loss_G: 0.005028 Loss_D_real: -0.021230 Loss_D_fake 0.001058
[1063/5000][60/535][109561] Loss_D: -0.023214 Loss_G: 0.026330 Loss_D_real: -0.023441 Loss_D_fake -0.000227
[1063/5000][65/535][109562] Loss_D: -0.022670 Loss_G: 0.003134 Loss_D_real: -0.009093 Loss_D_fake 0.013577
[1063/5000][70/535][109563] Loss_D: -0.021348 Loss_G: 0.006880 Loss_D_real: -0.014530 Loss_D_fake 0.006818
[1063/5000][75/535][109564] Loss_D: -0.022275 Loss_G: 0.010454 Loss_D_real: -0.021219 Loss_D_fake 0.001055
[1063/5000][80/535][109565] Loss_D: -0.021628 Loss_G: -0.011326 Loss_D_real: 0.001660 Loss_D_fake 0.023288
[1063/5000][85/535][109566] Loss_D: -0.022023 Loss_G: 0.009232 Loss_D_real: -0.017451 Loss_D_fake 0.004572
[1063/5000][90/535][109567] Loss_D: -0.021952 Loss_G: -0.008963 Loss_D_real: -0.013168 Loss_D_fake 0.008783
[1063/5000][95/535][109568] Loss_D: -0.021642 Loss_G: 0.008507 Loss_D_real: -0.012189 Loss_D_fake 0.009453
[1063/5000][100/535][109569] Loss_D: -0.022380 Loss_G: 0.002612 Loss_D_real: -0.020529 Loss_D_fake 0.001850
[1063/5000][105/535][109570] Loss_D: -0.020900 Loss_G: 0.023263 Loss_D_real: -0.031293 Loss_D_fake -0.010393
[1063/5000][110/535][109571] Loss_D: -0.021634 Loss_G: 0.003670 Loss_D_real: -0.009382 Loss_D_fake 0.012252
[1063/5000][115/535][109572] Loss_D: -0.021802 Loss_G: -0.007273 Loss_D_real: -0.007686 Loss_D_fake 0.014116
[1063/5000][120/535][109573] Loss_D: -0.021143 Loss_G: -0.000677 Loss_D_real: -0.000443 Loss_D_fake 0.020701
[1063/5000][125/535][109574] Loss_D: -0.021297 Loss_G: 0.001955 Loss_D_real: -0.016865 Loss_D_fake 0.004432
[1063/5000][130/535][109575] Loss_D: -0.019092 Loss_G: -0.020073 Loss_D_real: 0.005652 Loss_D_fake 0.024744
[1063/5000][135/535][109576] Loss_D: -0.022953 Loss_G: 0.000091 Loss_D_real: -0.005123 Loss_D_fake 0.017831
[1063/5000][140/535][109577] Loss_D: -0.021450 Loss_G: 0.016932 Loss_D_real: -0.023412 Loss_D_fake -0.001962
[1063/5000][145/535][109578] Loss_D: -0.022149 Loss_G: 0.014978 Loss_D_real: -0.021856 Loss_D_fake 0.000293
[1063/5000][150/535][109579] Loss_D: -0.023248 Loss_G: 0.018761 Loss_D_real: -0.027343 Loss_D_fake -0.004095
[1063/5000][155/535][109580] Loss_D: -0.023532 Loss_G: -0.001887 Loss_D_real: -0.000820 Loss_D_fake 0.022713
[1063/5000][160/535][109581] Loss_D: -0.022786 Loss_G: 0.005024 Loss_D_real: -0.016043 Loss_D_fake 0.006743
[1063/5000][165/535][109582] Loss_D: -0.021099 Loss_G: 0.023732 Loss_D_real: -0.028065 Loss_D_fake -0.006965
[1063/5000][170/535][109583] Loss_D: -0.022038 Loss_G: 0.005150 Loss_D_real: -0.016803 Loss_D_fake 0.005235
[1063/5000][175/535][109584] Loss_D: -0.022091 Loss_G: -0.015385 Loss_D_real: -0.005432 Loss_D_fake 0.016659
[1063/5000][180/535][109585] Loss_D: -0.023353 Loss_G: 0.007938 Loss_D_real: -0.013388 Loss_D_fake 0.009965
[1063/5000][185/535][109586] Loss_D: -0.023022 Loss_G: 0.015532 Loss_D_real: -0.023023 Loss_D_fake -0.000001
[1063/5000][190/535][109587] Loss_D: -0.020796 Loss_G: 0.016258 Loss_D_real: -0.018703 Loss_D_fake 0.002092
[1063/5000][195/535][109588] Loss_D: -0.021478 Loss_G: 0.002543 Loss_D_real: -0.003739 Loss_D_fake 0.017739
[1063/5000][200/535][109589] Loss_D: -0.021404 Loss_G: -0.020200 Loss_D_real: 0.002652 Loss_D_fake 0.024056
[1063/5000][205/535][109590] Loss_D: -0.021173 Loss_G: 0.009431 Loss_D_real: -0.029316 Loss_D_fake -0.008143
[1063/5000][210/535][109591] Loss_D: -0.022384 Loss_G: 0.018311 Loss_D_real: -0.006300 Loss_D_fake 0.016085
[1063/5000][215/535][109592] Loss_D: -0.020959 Loss_G: -0.017890 Loss_D_real: -0.010481 Loss_D_fake 0.010479
[1063/5000][220/535][109593] Loss_D: -0.021360 Loss_G: -0.002863 Loss_D_real: -0.006157 Loss_D_fake 0.015202
[1063/5000][225/535][109594] Loss_D: -0.022152 Loss_G: -0.003941 Loss_D_real: -0.016418 Loss_D_fake 0.005734
[1063/5000][230/535][109595] Loss_D: -0.022672 Loss_G: 0.017554 Loss_D_real: -0.028293 Loss_D_fake -0.005621
[1063/5000][235/535][109596] Loss_D: -0.023588 Loss_G: -0.005477 Loss_D_real: -0.011382 Loss_D_fake 0.012206
[1063/5000][240/535][109597] Loss_D: -0.020968 Loss_G: 0.022110 Loss_D_real: -0.034186 Loss_D_fake -0.013219
[1063/5000][245/535][109598] Loss_D: -0.022132 Loss_G: 0.010208 Loss_D_real: -0.026517 Loss_D_fake -0.004385
[1063/5000][250/535][109599] Loss_D: -0.022798 Loss_G: -0.000363 Loss_D_real: -0.016296 Loss_D_fake 0.006502
[1063/5000][255/535][109600] Loss_D: -0.021053 Loss_G: -0.020227 Loss_D_real: 0.004007 Loss_D_fake 0.025060
[1063/5000][260/535][109601] Loss_D: -0.021882 Loss_G: 0.015262 Loss_D_real: -0.026823 Loss_D_fake -0.004941
[1063/5000][265/535][109602] Loss_D: -0.020954 Loss_G: 0.020014 Loss_D_real: -0.028412 Loss_D_fake -0.007459
[1063/5000][270/535][109603] Loss_D: -0.022529 Loss_G: 0.020265 Loss_D_real: -0.029414 Loss_D_fake -0.006885
[1063/5000][275/535][109604] Loss_D: -0.022041 Loss_G: 0.003275 Loss_D_real: -0.013026 Loss_D_fake 0.009015
[1063/5000][280/535][109605] Loss_D: -0.023279 Loss_G: 0.011861 Loss_D_real: -0.030802 Loss_D_fake -0.007523
[1063/5000][285/535][109606] Loss_D: -0.021381 Loss_G: -0.005777 Loss_D_real: -0.012118 Loss_D_fake 0.009263
[1063/5000][290/535][109607] Loss_D: -0.022203 Loss_G: 0.018860 Loss_D_real: -0.022613 Loss_D_fake -0.000410
[1063/5000][295/535][109608] Loss_D: -0.022523 Loss_G: 0.001413 Loss_D_real: -0.015957 Loss_D_fake 0.006566
[1063/5000][300/535][109609] Loss_D: -0.022688 Loss_G: 0.021621 Loss_D_real: -0.027977 Loss_D_fake -0.005289
[1063/5000][305/535][109610] Loss_D: -0.021707 Loss_G: 0.007049 Loss_D_real: -0.016577 Loss_D_fake 0.005130
[1063/5000][310/535][109611] Loss_D: -0.022712 Loss_G: 0.010978 Loss_D_real: -0.021831 Loss_D_fake 0.000881
[1063/5000][315/535][109612] Loss_D: -0.022741 Loss_G: 0.015567 Loss_D_real: -0.012327 Loss_D_fake 0.010413
[1063/5000][320/535][109613] Loss_D: -0.022621 Loss_G: 0.008539 Loss_D_real: -0.024414 Loss_D_fake -0.001793
[1063/5000][325/535][109614] Loss_D: -0.020227 Loss_G: 0.030534 Loss_D_real: -0.023549 Loss_D_fake -0.003321
[1063/5000][330/535][109615] Loss_D: -0.020881 Loss_G: 0.003817 Loss_D_real: -0.013442 Loss_D_fake 0.007439
[1063/5000][335/535][109616] Loss_D: -0.022451 Loss_G: -0.003351 Loss_D_real: -0.010594 Loss_D_fake 0.011857
[1063/5000][340/535][109617] Loss_D: -0.020613 Loss_G: 0.015850 Loss_D_real: -0.036934 Loss_D_fake -0.016321
[1063/5000][345/535][109618] Loss_D: -0.021820 Loss_G: 0.018015 Loss_D_real: -0.025322 Loss_D_fake -0.003503
[1063/5000][350/535][109619] Loss_D: -0.021316 Loss_G: 0.016882 Loss_D_real: -0.021735 Loss_D_fake -0.000418
[1063/5000][355/535][109620] Loss_D: -0.023478 Loss_G: -0.004300 Loss_D_real: -0.003110 Loss_D_fake 0.020367
[1063/5000][360/535][109621] Loss_D: -0.021009 Loss_G: 0.000950 Loss_D_real: -0.005381 Loss_D_fake 0.015627
[1063/5000][365/535][109622] Loss_D: -0.021994 Loss_G: 0.000158 Loss_D_real: -0.009695 Loss_D_fake 0.012299
[1063/5000][370/535][109623] Loss_D: -0.020968 Loss_G: 0.008273 Loss_D_real: -0.017435 Loss_D_fake 0.003533
[1063/5000][375/535][109624] Loss_D: -0.021062 Loss_G: 0.024604 Loss_D_real: -0.026745 Loss_D_fake -0.005683
[1063/5000][380/535][109625] Loss_D: -0.019552 Loss_G: 0.017940 Loss_D_real: -0.022848 Loss_D_fake -0.003296
[1063/5000][385/535][109626] Loss_D: -0.020281 Loss_G: 0.000079 Loss_D_real: -0.014821 Loss_D_fake 0.005460
[1063/5000][390/535][109627] Loss_D: -0.022681 Loss_G: 0.009433 Loss_D_real: -0.020364 Loss_D_fake 0.002318
[1063/5000][395/535][109628] Loss_D: -0.021299 Loss_G: 0.022859 Loss_D_real: -0.029400 Loss_D_fake -0.008101
[1063/5000][400/535][109629] Loss_D: -0.022337 Loss_G: -0.008817 Loss_D_real: -0.017593 Loss_D_fake 0.004744
[1063/5000][405/535][109630] Loss_D: -0.021911 Loss_G: 0.006603 Loss_D_real: -0.015205 Loss_D_fake 0.006706
[1063/5000][410/535][109631] Loss_D: -0.021162 Loss_G: 0.013831 Loss_D_real: -0.027538 Loss_D_fake -0.006376
[1063/5000][415/535][109632] Loss_D: -0.020962 Loss_G: 0.031482 Loss_D_real: -0.032996 Loss_D_fake -0.012034
[1063/5000][420/535][109633] Loss_D: -0.021838 Loss_G: 0.004523 Loss_D_real: -0.015340 Loss_D_fake 0.006498
[1063/5000][425/535][109634] Loss_D: -0.022321 Loss_G: 0.002552 Loss_D_real: -0.016535 Loss_D_fake 0.005785
[1063/5000][430/535][109635] Loss_D: -0.020842 Loss_G: 0.009665 Loss_D_real: -0.014877 Loss_D_fake 0.005965
[1063/5000][435/535][109636] Loss_D: -0.021138 Loss_G: -0.010309 Loss_D_real: -0.001547 Loss_D_fake 0.019591
[1063/5000][440/535][109637] Loss_D: -0.021428 Loss_G: 0.019536 Loss_D_real: -0.025377 Loss_D_fake -0.003950
[1063/5000][445/535][109638] Loss_D: -0.023131 Loss_G: 0.004034 Loss_D_real: -0.012574 Loss_D_fake 0.010556
[1063/5000][450/535][109639] Loss_D: -0.020330 Loss_G: 0.009367 Loss_D_real: -0.032219 Loss_D_fake -0.011889
[1063/5000][455/535][109640] Loss_D: -0.020919 Loss_G: 0.017058 Loss_D_real: -0.027167 Loss_D_fake -0.006248
[1063/5000][460/535][109641] Loss_D: -0.023002 Loss_G: 0.013867 Loss_D_real: -0.015582 Loss_D_fake 0.007420
[1063/5000][465/535][109642] Loss_D: -0.021872 Loss_G: 0.025874 Loss_D_real: -0.036084 Loss_D_fake -0.014212
[1063/5000][470/535][109643] Loss_D: -0.022750 Loss_G: -0.003283 Loss_D_real: -0.010560 Loss_D_fake 0.012190
[1063/5000][475/535][109644] Loss_D: -0.021588 Loss_G: 0.028976 Loss_D_real: -0.026187 Loss_D_fake -0.004599
[1063/5000][480/535][109645] Loss_D: -0.021032 Loss_G: -0.022141 Loss_D_real: 0.002031 Loss_D_fake 0.023062
[1063/5000][485/535][109646] Loss_D: -0.022879 Loss_G: 0.010745 Loss_D_real: -0.010425 Loss_D_fake 0.012455
[1063/5000][490/535][109647] Loss_D: -0.021677 Loss_G: -0.016067 Loss_D_real: -0.002099 Loss_D_fake 0.019578
[1063/5000][495/535][109648] Loss_D: -0.021439 Loss_G: 0.019447 Loss_D_real: -0.020588 Loss_D_fake 0.000851
[1063/5000][500/535][109649] Loss_D: -0.020800 Loss_G: 0.008461 Loss_D_real: -0.024307 Loss_D_fake -0.003507
[1063/5000][505/535][109650] Loss_D: -0.022456 Loss_G: 0.022422 Loss_D_real: -0.018999 Loss_D_fake 0.003457
[1063/5000][510/535][109651] Loss_D: -0.021554 Loss_G: 0.005290 Loss_D_real: -0.023631 Loss_D_fake -0.002077
[1063/5000][515/535][109652] Loss_D: -0.023507 Loss_G: 0.014465 Loss_D_real: -0.015598 Loss_D_fake 0.007909
[1063/5000][520/535][109653] Loss_D: -0.022675 Loss_G: 0.002953 Loss_D_real: -0.020684 Loss_D_fake 0.001992
[1063/5000][525/535][109654] Loss_D: -0.023249 Loss_G: 0.005680 Loss_D_real: -0.012022 Loss_D_fake 0.011226
[1063/5000][530/535][109655] Loss_D: -0.022674 Loss_G: 0.001949 Loss_D_real: -0.022134 Loss_D_fake 0.000540
[1063/5000][535/535][109656] Loss_D: -0.021273 Loss_G: 0.008346 Loss_D_real: -0.013174 Loss_D_fake 0.008099
[1064/5000][5/535][109657] Loss_D: -0.021739 Loss_G: 0.011264 Loss_D_real: -0.010229 Loss_D_fake 0.011510
[1064/5000][10/535][109658] Loss_D: -0.020469 Loss_G: 0.005941 Loss_D_real: -0.010019 Loss_D_fake 0.010449
[1064/5000][15/535][109659] Loss_D: -0.022258 Loss_G: 0.014315 Loss_D_real: -0.018092 Loss_D_fake 0.004166
[1064/5000][20/535][109660] Loss_D: -0.021302 Loss_G: -0.028799 Loss_D_real: -0.000677 Loss_D_fake 0.020625
[1064/5000][25/535][109661] Loss_D: -0.021874 Loss_G: 0.020309 Loss_D_real: -0.018110 Loss_D_fake 0.003764
[1064/5000][30/535][109662] Loss_D: -0.022243 Loss_G: 0.001775 Loss_D_real: -0.020404 Loss_D_fake 0.001839
[1064/5000][35/535][109663] Loss_D: -0.021582 Loss_G: 0.029438 Loss_D_real: -0.039504 Loss_D_fake -0.017922
[1064/5000][40/535][109664] Loss_D: -0.021946 Loss_G: 0.005800 Loss_D_real: -0.006191 Loss_D_fake 0.015755
[1064/5000][45/535][109665] Loss_D: -0.021061 Loss_G: 0.019263 Loss_D_real: -0.022954 Loss_D_fake -0.001893
[1064/5000][50/535][109666] Loss_D: -0.022971 Loss_G: 0.000185 Loss_D_real: -0.009747 Loss_D_fake 0.013224
[1064/5000][55/535][109667] Loss_D: -0.021890 Loss_G: -0.017933 Loss_D_real: -0.003782 Loss_D_fake 0.018107
[1064/5000][60/535][109668] Loss_D: -0.021229 Loss_G: 0.023676 Loss_D_real: -0.029151 Loss_D_fake -0.007922
[1064/5000][65/535][109669] Loss_D: -0.021518 Loss_G: 0.024531 Loss_D_real: -0.025229 Loss_D_fake -0.003711
[1064/5000][70/535][109670] Loss_D: -0.021254 Loss_G: 0.014557 Loss_D_real: -0.027862 Loss_D_fake -0.006608
[1064/5000][75/535][109671] Loss_D: -0.022622 Loss_G: 0.007621 Loss_D_real: -0.032370 Loss_D_fake -0.009748
[1064/5000][80/535][109672] Loss_D: -0.022954 Loss_G: 0.015097 Loss_D_real: -0.024374 Loss_D_fake -0.001420
[1064/5000][85/535][109673] Loss_D: -0.022906 Loss_G: 0.008724 Loss_D_real: -0.020457 Loss_D_fake 0.002448
[1064/5000][90/535][109674] Loss_D: -0.022175 Loss_G: -0.006869 Loss_D_real: -0.015197 Loss_D_fake 0.006978
[1064/5000][95/535][109675] Loss_D: -0.021805 Loss_G: 0.007825 Loss_D_real: -0.026760 Loss_D_fake -0.004955
[1064/5000][100/535][109676] Loss_D: -0.022228 Loss_G: 0.020755 Loss_D_real: -0.031022 Loss_D_fake -0.008795
[1064/5000][105/535][109677] Loss_D: -0.021535 Loss_G: 0.000175 Loss_D_real: -0.011226 Loss_D_fake 0.010309
[1064/5000][110/535][109678] Loss_D: -0.021324 Loss_G: 0.002487 Loss_D_real: -0.005330 Loss_D_fake 0.015995
[1064/5000][115/535][109679] Loss_D: -0.021840 Loss_G: 0.015723 Loss_D_real: -0.020975 Loss_D_fake 0.000865
[1064/5000][120/535][109680] Loss_D: -0.021610 Loss_G: 0.012887 Loss_D_real: -0.023743 Loss_D_fake -0.002133
[1064/5000][125/535][109681] Loss_D: -0.021681 Loss_G: 0.017706 Loss_D_real: -0.016369 Loss_D_fake 0.005312
[1064/5000][130/535][109682] Loss_D: -0.023079 Loss_G: 0.004384 Loss_D_real: -0.021888 Loss_D_fake 0.001191
[1064/5000][135/535][109683] Loss_D: -0.021746 Loss_G: -0.000043 Loss_D_real: -0.015268 Loss_D_fake 0.006478
[1064/5000][140/535][109684] Loss_D: -0.021458 Loss_G: 0.024473 Loss_D_real: -0.030532 Loss_D_fake -0.009074
[1064/5000][145/535][109685] Loss_D: -0.022112 Loss_G: 0.010736 Loss_D_real: -0.014481 Loss_D_fake 0.007631
[1064/5000][150/535][109686] Loss_D: -0.022954 Loss_G: 0.012070 Loss_D_real: -0.032260 Loss_D_fake -0.009306
[1064/5000][155/535][109687] Loss_D: -0.021758 Loss_G: 0.029625 Loss_D_real: -0.024093 Loss_D_fake -0.002335
[1064/5000][160/535][109688] Loss_D: -0.021574 Loss_G: 0.007428 Loss_D_real: -0.014850 Loss_D_fake 0.006725
[1064/5000][165/535][109689] Loss_D: -0.021923 Loss_G: -0.000453 Loss_D_real: -0.016060 Loss_D_fake 0.005864
[1064/5000][170/535][109690] Loss_D: -0.021371 Loss_G: 0.032859 Loss_D_real: -0.026552 Loss_D_fake -0.005182
[1064/5000][175/535][109691] Loss_D: -0.022027 Loss_G: 0.011455 Loss_D_real: -0.017800 Loss_D_fake 0.004228
[1064/5000][180/535][109692] Loss_D: -0.022720 Loss_G: -0.004608 Loss_D_real: -0.011221 Loss_D_fake 0.011500
[1064/5000][185/535][109693] Loss_D: -0.023168 Loss_G: -0.001902 Loss_D_real: -0.016519 Loss_D_fake 0.006648
[1064/5000][190/535][109694] Loss_D: -0.022053 Loss_G: 0.007042 Loss_D_real: -0.014213 Loss_D_fake 0.007840
[1064/5000][195/535][109695] Loss_D: -0.021905 Loss_G: -0.008893 Loss_D_real: -0.014747 Loss_D_fake 0.007158
[1064/5000][200/535][109696] Loss_D: -0.021923 Loss_G: 0.003120 Loss_D_real: -0.013727 Loss_D_fake 0.008196
[1064/5000][205/535][109697] Loss_D: -0.022446 Loss_G: 0.006196 Loss_D_real: -0.018672 Loss_D_fake 0.003774
[1064/5000][210/535][109698] Loss_D: -0.021872 Loss_G: 0.036712 Loss_D_real: -0.030161 Loss_D_fake -0.008289
[1064/5000][215/535][109699] Loss_D: -0.021352 Loss_G: 0.003929 Loss_D_real: -0.011618 Loss_D_fake 0.009734
[1064/5000][220/535][109700] Loss_D: -0.021483 Loss_G: 0.009681 Loss_D_real: -0.023871 Loss_D_fake -0.002387
[1064/5000][225/535][109701] Loss_D: -0.022524 Loss_G: -0.008551 Loss_D_real: -0.009554 Loss_D_fake 0.012970
[1064/5000][230/535][109702] Loss_D: -0.021134 Loss_G: 0.016717 Loss_D_real: -0.028986 Loss_D_fake -0.007853
[1064/5000][235/535][109703] Loss_D: -0.020201 Loss_G: 0.024060 Loss_D_real: -0.036959 Loss_D_fake -0.016758
[1064/5000][240/535][109704] Loss_D: -0.022312 Loss_G: 0.018263 Loss_D_real: -0.019303 Loss_D_fake 0.003009
[1064/5000][245/535][109705] Loss_D: -0.022353 Loss_G: -0.006386 Loss_D_real: -0.004459 Loss_D_fake 0.017894
[1064/5000][250/535][109706] Loss_D: -0.021627 Loss_G: 0.006230 Loss_D_real: -0.023494 Loss_D_fake -0.001867
[1064/5000][255/535][109707] Loss_D: -0.021511 Loss_G: 0.007647 Loss_D_real: -0.017399 Loss_D_fake 0.004112
[1064/5000][260/535][109708] Loss_D: -0.022863 Loss_G: -0.016456 Loss_D_real: -0.010313 Loss_D_fake 0.012550
[1064/5000][265/535][109709] Loss_D: -0.020819 Loss_G: 0.022406 Loss_D_real: -0.027753 Loss_D_fake -0.006934
[1064/5000][270/535][109710] Loss_D: -0.023193 Loss_G: 0.019527 Loss_D_real: -0.021576 Loss_D_fake 0.001616
[1064/5000][275/535][109711] Loss_D: -0.022363 Loss_G: -0.000234 Loss_D_real: -0.018710 Loss_D_fake 0.003653
[1064/5000][280/535][109712] Loss_D: -0.020350 Loss_G: 0.021059 Loss_D_real: -0.035304 Loss_D_fake -0.014954
[1064/5000][285/535][109713] Loss_D: -0.022761 Loss_G: 0.012226 Loss_D_real: -0.017282 Loss_D_fake 0.005479
[1064/5000][290/535][109714] Loss_D: -0.021405 Loss_G: 0.027368 Loss_D_real: -0.032343 Loss_D_fake -0.010937
[1064/5000][295/535][109715] Loss_D: -0.022619 Loss_G: 0.000174 Loss_D_real: -0.032146 Loss_D_fake -0.009528
[1064/5000][300/535][109716] Loss_D: -0.022004 Loss_G: 0.000648 Loss_D_real: -0.020735 Loss_D_fake 0.001270
[1064/5000][305/535][109717] Loss_D: -0.022321 Loss_G: 0.006099 Loss_D_real: -0.017682 Loss_D_fake 0.004640
[1064/5000][310/535][109718] Loss_D: -0.023923 Loss_G: 0.021454 Loss_D_real: -0.016656 Loss_D_fake 0.007266
[1064/5000][315/535][109719] Loss_D: -0.022029 Loss_G: 0.006360 Loss_D_real: -0.007486 Loss_D_fake 0.014543
[1064/5000][320/535][109720] Loss_D: -0.022036 Loss_G: -0.013603 Loss_D_real: -0.008518 Loss_D_fake 0.013518
[1064/5000][325/535][109721] Loss_D: -0.021508 Loss_G: -0.003752 Loss_D_real: -0.004100 Loss_D_fake 0.017408
[1064/5000][330/535][109722] Loss_D: -0.022683 Loss_G: 0.007473 Loss_D_real: -0.020353 Loss_D_fake 0.002330
[1064/5000][335/535][109723] Loss_D: -0.023307 Loss_G: 0.008719 Loss_D_real: -0.011069 Loss_D_fake 0.012237
[1064/5000][340/535][109724] Loss_D: -0.022644 Loss_G: 0.000733 Loss_D_real: -0.005572 Loss_D_fake 0.017072
[1064/5000][345/535][109725] Loss_D: -0.022275 Loss_G: 0.020316 Loss_D_real: -0.021977 Loss_D_fake 0.000298
[1064/5000][350/535][109726] Loss_D: -0.023018 Loss_G: -0.001974 Loss_D_real: -0.002616 Loss_D_fake 0.020402
[1064/5000][355/535][109727] Loss_D: -0.022176 Loss_G: 0.009091 Loss_D_real: -0.013720 Loss_D_fake 0.008457
[1064/5000][360/535][109728] Loss_D: -0.023448 Loss_G: -0.012438 Loss_D_real: 0.001101 Loss_D_fake 0.024549
[1064/5000][365/535][109729] Loss_D: -0.020554 Loss_G: 0.016921 Loss_D_real: -0.032294 Loss_D_fake -0.011740
[1064/5000][370/535][109730] Loss_D: -0.021140 Loss_G: -0.013255 Loss_D_real: -0.013109 Loss_D_fake 0.008031
[1064/5000][375/535][109731] Loss_D: -0.021341 Loss_G: -0.010370 Loss_D_real: -0.004343 Loss_D_fake 0.016998
[1064/5000][380/535][109732] Loss_D: -0.021496 Loss_G: -0.002019 Loss_D_real: -0.009745 Loss_D_fake 0.011751
[1064/5000][385/535][109733] Loss_D: -0.022649 Loss_G: 0.005852 Loss_D_real: -0.014959 Loss_D_fake 0.007690
[1064/5000][390/535][109734] Loss_D: -0.022915 Loss_G: 0.006682 Loss_D_real: -0.011043 Loss_D_fake 0.011873
[1064/5000][395/535][109735] Loss_D: -0.022732 Loss_G: -0.004766 Loss_D_real: -0.008137 Loss_D_fake 0.014595
[1064/5000][400/535][109736] Loss_D: -0.022174 Loss_G: 0.017660 Loss_D_real: -0.014037 Loss_D_fake 0.008137
[1064/5000][405/535][109737] Loss_D: -0.022373 Loss_G: 0.006729 Loss_D_real: -0.004735 Loss_D_fake 0.017638
[1064/5000][410/535][109738] Loss_D: -0.020722 Loss_G: 0.016077 Loss_D_real: -0.025131 Loss_D_fake -0.004409
[1064/5000][415/535][109739] Loss_D: -0.021494 Loss_G: 0.006111 Loss_D_real: -0.014302 Loss_D_fake 0.007192
[1064/5000][420/535][109740] Loss_D: -0.022153 Loss_G: 0.008488 Loss_D_real: -0.024033 Loss_D_fake -0.001880
[1064/5000][425/535][109741] Loss_D: -0.022833 Loss_G: 0.018473 Loss_D_real: -0.017120 Loss_D_fake 0.005712
[1064/5000][430/535][109742] Loss_D: -0.021159 Loss_G: 0.013453 Loss_D_real: -0.018567 Loss_D_fake 0.002593
[1064/5000][435/535][109743] Loss_D: -0.020703 Loss_G: 0.019727 Loss_D_real: -0.029496 Loss_D_fake -0.008793
[1064/5000][440/535][109744] Loss_D: -0.022628 Loss_G: 0.011100 Loss_D_real: -0.021489 Loss_D_fake 0.001140
[1064/5000][445/535][109745] Loss_D: -0.021503 Loss_G: 0.015499 Loss_D_real: -0.029025 Loss_D_fake -0.007522
[1064/5000][450/535][109746] Loss_D: -0.022526 Loss_G: 0.008757 Loss_D_real: -0.012464 Loss_D_fake 0.010063
[1064/5000][455/535][109747] Loss_D: -0.022580 Loss_G: 0.005013 Loss_D_real: -0.010630 Loss_D_fake 0.011950
[1064/5000][460/535][109748] Loss_D: -0.021778 Loss_G: 0.018347 Loss_D_real: -0.024924 Loss_D_fake -0.003146
[1064/5000][465/535][109749] Loss_D: -0.022448 Loss_G: 0.013751 Loss_D_real: -0.034306 Loss_D_fake -0.011859
[1064/5000][470/535][109750] Loss_D: -0.022974 Loss_G: -0.011300 Loss_D_real: -0.016956 Loss_D_fake 0.006017
[1064/5000][475/535][109751] Loss_D: -0.021677 Loss_G: 0.016545 Loss_D_real: -0.012956 Loss_D_fake 0.008720
[1064/5000][480/535][109752] Loss_D: -0.023245 Loss_G: 0.009394 Loss_D_real: -0.030567 Loss_D_fake -0.007323
[1064/5000][485/535][109753] Loss_D: -0.021449 Loss_G: 0.022601 Loss_D_real: -0.029249 Loss_D_fake -0.007799
[1064/5000][490/535][109754] Loss_D: -0.019412 Loss_G: 0.035871 Loss_D_real: -0.041985 Loss_D_fake -0.022573
[1064/5000][495/535][109755] Loss_D: -0.021576 Loss_G: 0.022040 Loss_D_real: -0.034473 Loss_D_fake -0.012897
[1064/5000][500/535][109756] Loss_D: -0.022165 Loss_G: -0.005891 Loss_D_real: -0.010059 Loss_D_fake 0.012106
[1064/5000][505/535][109757] Loss_D: -0.023052 Loss_G: 0.000700 Loss_D_real: -0.015611 Loss_D_fake 0.007442
[1064/5000][510/535][109758] Loss_D: -0.023111 Loss_G: -0.001043 Loss_D_real: -0.017711 Loss_D_fake 0.005400
[1064/5000][515/535][109759] Loss_D: -0.022261 Loss_G: 0.018868 Loss_D_real: -0.031843 Loss_D_fake -0.009583
[1064/5000][520/535][109760] Loss_D: -0.021097 Loss_G: 0.000446 Loss_D_real: 0.000990 Loss_D_fake 0.022087
[1064/5000][525/535][109761] Loss_D: -0.021910 Loss_G: 0.023910 Loss_D_real: -0.024625 Loss_D_fake -0.002715
[1064/5000][530/535][109762] Loss_D: -0.023240 Loss_G: 0.004195 Loss_D_real: -0.013934 Loss_D_fake 0.009305
[1064/5000][535/535][109763] Loss_D: -0.020592 Loss_G: 0.042735 Loss_D_real: -0.002795 Loss_D_fake 0.017797
[1065/5000][5/535][109764] Loss_D: -0.022751 Loss_G: -0.001663 Loss_D_real: -0.027582 Loss_D_fake -0.004831
[1065/5000][10/535][109765] Loss_D: -0.023729 Loss_G: 0.004957 Loss_D_real: -0.015085 Loss_D_fake 0.008644
[1065/5000][15/535][109766] Loss_D: -0.021010 Loss_G: 0.016494 Loss_D_real: -0.020800 Loss_D_fake 0.000209
[1065/5000][20/535][109767] Loss_D: -0.022615 Loss_G: 0.019124 Loss_D_real: -0.021927 Loss_D_fake 0.000688
[1065/5000][25/535][109768] Loss_D: -0.022268 Loss_G: 0.020008 Loss_D_real: -0.030342 Loss_D_fake -0.008075
[1065/5000][30/535][109769] Loss_D: -0.022265 Loss_G: 0.023191 Loss_D_real: -0.032313 Loss_D_fake -0.010048
[1065/5000][35/535][109770] Loss_D: -0.021205 Loss_G: 0.030747 Loss_D_real: -0.029043 Loss_D_fake -0.007837
[1065/5000][40/535][109771] Loss_D: -0.022515 Loss_G: 0.005162 Loss_D_real: -0.016717 Loss_D_fake 0.005798
[1065/5000][45/535][109772] Loss_D: -0.020988 Loss_G: 0.032138 Loss_D_real: -0.030104 Loss_D_fake -0.009116
[1065/5000][50/535][109773] Loss_D: -0.022928 Loss_G: -0.008036 Loss_D_real: -0.013052 Loss_D_fake 0.009876
[1065/5000][55/535][109774] Loss_D: -0.021101 Loss_G: 0.000705 Loss_D_real: -0.008570 Loss_D_fake 0.012531
[1065/5000][60/535][109775] Loss_D: -0.022328 Loss_G: 0.002867 Loss_D_real: -0.014940 Loss_D_fake 0.007388
[1065/5000][65/535][109776] Loss_D: -0.020306 Loss_G: 0.012592 Loss_D_real: -0.025556 Loss_D_fake -0.005249
[1065/5000][70/535][109777] Loss_D: -0.021494 Loss_G: 0.000747 Loss_D_real: -0.019974 Loss_D_fake 0.001521
[1065/5000][75/535][109778] Loss_D: -0.022933 Loss_G: 0.026739 Loss_D_real: -0.025119 Loss_D_fake -0.002186
[1065/5000][80/535][109779] Loss_D: -0.019009 Loss_G: 0.027498 Loss_D_real: -0.046870 Loss_D_fake -0.027861
[1065/5000][85/535][109780] Loss_D: -0.022981 Loss_G: -0.007955 Loss_D_real: -0.014458 Loss_D_fake 0.008523
[1065/5000][90/535][109781] Loss_D: -0.021702 Loss_G: 0.006891 Loss_D_real: -0.025121 Loss_D_fake -0.003419
[1065/5000][95/535][109782] Loss_D: -0.022885 Loss_G: 0.010866 Loss_D_real: -0.009711 Loss_D_fake 0.013174
[1065/5000][100/535][109783] Loss_D: -0.021897 Loss_G: 0.013093 Loss_D_real: -0.006812 Loss_D_fake 0.015085
[1065/5000][105/535][109784] Loss_D: -0.021679 Loss_G: 0.011281 Loss_D_real: -0.009447 Loss_D_fake 0.012232
[1065/5000][110/535][109785] Loss_D: -0.022016 Loss_G: 0.012572 Loss_D_real: -0.026356 Loss_D_fake -0.004340
[1065/5000][115/535][109786] Loss_D: -0.022233 Loss_G: 0.006418 Loss_D_real: -0.011067 Loss_D_fake 0.011166
[1065/5000][120/535][109787] Loss_D: -0.022591 Loss_G: 0.006097 Loss_D_real: -0.010283 Loss_D_fake 0.012308
[1065/5000][125/535][109788] Loss_D: -0.022631 Loss_G: 0.008399 Loss_D_real: -0.021996 Loss_D_fake 0.000635
[1065/5000][130/535][109789] Loss_D: -0.021676 Loss_G: -0.000518 Loss_D_real: -0.008002 Loss_D_fake 0.013674
[1065/5000][135/535][109790] Loss_D: -0.022559 Loss_G: 0.003125 Loss_D_real: -0.013484 Loss_D_fake 0.009075
[1065/5000][140/535][109791] Loss_D: -0.021843 Loss_G: 0.001426 Loss_D_real: -0.012135 Loss_D_fake 0.009709
[1065/5000][145/535][109792] Loss_D: -0.021886 Loss_G: 0.022755 Loss_D_real: -0.034479 Loss_D_fake -0.012593
[1065/5000][150/535][109793] Loss_D: -0.022435 Loss_G: -0.003506 Loss_D_real: -0.011700 Loss_D_fake 0.010734
[1065/5000][155/535][109794] Loss_D: -0.021834 Loss_G: -0.000670 Loss_D_real: -0.013622 Loss_D_fake 0.008212
[1065/5000][160/535][109795] Loss_D: -0.022522 Loss_G: -0.002608 Loss_D_real: -0.002763 Loss_D_fake 0.019759
[1065/5000][165/535][109796] Loss_D: -0.022748 Loss_G: 0.013559 Loss_D_real: -0.020438 Loss_D_fake 0.002309
[1065/5000][170/535][109797] Loss_D: -0.022432 Loss_G: 0.005624 Loss_D_real: -0.015516 Loss_D_fake 0.006916
[1065/5000][175/535][109798] Loss_D: -0.022894 Loss_G: 0.007846 Loss_D_real: -0.010182 Loss_D_fake 0.012712
[1065/5000][180/535][109799] Loss_D: -0.022364 Loss_G: 0.016428 Loss_D_real: -0.019353 Loss_D_fake 0.003010
[1065/5000][185/535][109800] Loss_D: -0.021345 Loss_G: -0.000035 Loss_D_real: -0.012570 Loss_D_fake 0.008775
[1065/5000][190/535][109801] Loss_D: -0.023274 Loss_G: -0.001366 Loss_D_real: -0.021040 Loss_D_fake 0.002234
[1065/5000][195/535][109802] Loss_D: -0.023654 Loss_G: 0.006610 Loss_D_real: -0.012097 Loss_D_fake 0.011557
[1065/5000][200/535][109803] Loss_D: -0.022235 Loss_G: -0.002380 Loss_D_real: -0.010609 Loss_D_fake 0.011626
[1065/5000][205/535][109804] Loss_D: -0.023847 Loss_G: 0.003927 Loss_D_real: -0.026758 Loss_D_fake -0.002912
[1065/5000][210/535][109805] Loss_D: -0.021797 Loss_G: 0.031598 Loss_D_real: -0.031378 Loss_D_fake -0.009581
[1065/5000][215/535][109806] Loss_D: -0.020507 Loss_G: 0.027616 Loss_D_real: -0.025434 Loss_D_fake -0.004927
[1065/5000][220/535][109807] Loss_D: -0.021789 Loss_G: 0.013416 Loss_D_real: -0.021230 Loss_D_fake 0.000559
[1065/5000][225/535][109808] Loss_D: -0.023192 Loss_G: 0.002803 Loss_D_real: -0.004698 Loss_D_fake 0.018494
[1065/5000][230/535][109809] Loss_D: -0.022454 Loss_G: 0.009716 Loss_D_real: -0.022399 Loss_D_fake 0.000056
[1065/5000][235/535][109810] Loss_D: -0.020336 Loss_G: 0.018872 Loss_D_real: -0.020629 Loss_D_fake -0.000293
[1065/5000][240/535][109811] Loss_D: -0.022516 Loss_G: 0.018306 Loss_D_real: -0.022856 Loss_D_fake -0.000340
[1065/5000][245/535][109812] Loss_D: -0.022944 Loss_G: -0.018239 Loss_D_real: -0.007804 Loss_D_fake 0.015140
[1065/5000][250/535][109813] Loss_D: -0.022280 Loss_G: 0.013281 Loss_D_real: -0.017126 Loss_D_fake 0.005154
[1065/5000][255/535][109814] Loss_D: -0.022619 Loss_G: 0.027650 Loss_D_real: -0.027520 Loss_D_fake -0.004901
[1065/5000][260/535][109815] Loss_D: -0.022496 Loss_G: 0.013733 Loss_D_real: -0.021955 Loss_D_fake 0.000541
[1065/5000][265/535][109816] Loss_D: -0.021764 Loss_G: 0.021498 Loss_D_real: -0.036223 Loss_D_fake -0.014459
[1065/5000][270/535][109817] Loss_D: -0.021661 Loss_G: -0.012459 Loss_D_real: 0.004224 Loss_D_fake 0.025885
[1065/5000][275/535][109818] Loss_D: -0.022200 Loss_G: 0.003185 Loss_D_real: -0.015222 Loss_D_fake 0.006978
[1065/5000][280/535][109819] Loss_D: -0.021416 Loss_G: -0.009879 Loss_D_real: -0.008954 Loss_D_fake 0.012461
[1065/5000][285/535][109820] Loss_D: -0.020818 Loss_G: 0.010740 Loss_D_real: -0.019656 Loss_D_fake 0.001162
[1065/5000][290/535][109821] Loss_D: -0.019771 Loss_G: 0.018822 Loss_D_real: -0.023597 Loss_D_fake -0.003826
[1065/5000][295/535][109822] Loss_D: -0.022411 Loss_G: 0.000609 Loss_D_real: -0.009571 Loss_D_fake 0.012840
[1065/5000][300/535][109823] Loss_D: -0.021863 Loss_G: 0.007957 Loss_D_real: -0.035866 Loss_D_fake -0.014003
[1065/5000][305/535][109824] Loss_D: -0.021074 Loss_G: -0.002355 Loss_D_real: -0.018898 Loss_D_fake 0.002176
[1065/5000][310/535][109825] Loss_D: -0.022465 Loss_G: 0.004617 Loss_D_real: -0.020377 Loss_D_fake 0.002088
[1065/5000][315/535][109826] Loss_D: -0.022341 Loss_G: 0.018528 Loss_D_real: -0.033234 Loss_D_fake -0.010893
[1065/5000][320/535][109827] Loss_D: -0.022543 Loss_G: 0.011299 Loss_D_real: -0.012865 Loss_D_fake 0.009677
[1065/5000][325/535][109828] Loss_D: -0.022197 Loss_G: 0.017315 Loss_D_real: -0.020987 Loss_D_fake 0.001210
[1065/5000][330/535][109829] Loss_D: -0.021965 Loss_G: 0.002512 Loss_D_real: -0.003540 Loss_D_fake 0.018426
[1065/5000][335/535][109830] Loss_D: -0.021336 Loss_G: 0.027657 Loss_D_real: -0.024250 Loss_D_fake -0.002915
[1065/5000][340/535][109831] Loss_D: -0.022642 Loss_G: 0.015697 Loss_D_real: -0.010005 Loss_D_fake 0.012637
[1065/5000][345/535][109832] Loss_D: -0.021752 Loss_G: 0.006887 Loss_D_real: -0.011829 Loss_D_fake 0.009923
[1065/5000][350/535][109833] Loss_D: -0.021527 Loss_G: 0.006519 Loss_D_real: -0.012374 Loss_D_fake 0.009153
[1065/5000][355/535][109834] Loss_D: -0.022462 Loss_G: 0.014908 Loss_D_real: -0.016982 Loss_D_fake 0.005480
[1065/5000][360/535][109835] Loss_D: -0.021157 Loss_G: 0.024271 Loss_D_real: -0.037902 Loss_D_fake -0.016745
[1065/5000][365/535][109836] Loss_D: -0.021822 Loss_G: -0.000615 Loss_D_real: -0.008988 Loss_D_fake 0.012834
[1065/5000][370/535][109837] Loss_D: -0.021574 Loss_G: 0.006703 Loss_D_real: -0.015297 Loss_D_fake 0.006277
[1065/5000][375/535][109838] Loss_D: -0.022679 Loss_G: -0.004082 Loss_D_real: -0.008223 Loss_D_fake 0.014456
[1065/5000][380/535][109839] Loss_D: -0.022123 Loss_G: 0.002778 Loss_D_real: -0.005711 Loss_D_fake 0.016411
[1065/5000][385/535][109840] Loss_D: -0.021600 Loss_G: -0.002587 Loss_D_real: -0.020483 Loss_D_fake 0.001117
[1065/5000][390/535][109841] Loss_D: -0.022726 Loss_G: 0.008622 Loss_D_real: -0.020622 Loss_D_fake 0.002104
[1065/5000][395/535][109842] Loss_D: -0.020373 Loss_G: 0.014341 Loss_D_real: -0.029966 Loss_D_fake -0.009593
[1065/5000][400/535][109843] Loss_D: -0.022178 Loss_G: -0.006288 Loss_D_real: -0.004187 Loss_D_fake 0.017991
[1065/5000][405/535][109844] Loss_D: -0.021894 Loss_G: 0.003258 Loss_D_real: -0.022093 Loss_D_fake -0.000199
[1065/5000][410/535][109845] Loss_D: -0.020749 Loss_G: -0.003179 Loss_D_real: -0.007507 Loss_D_fake 0.013242
[1065/5000][415/535][109846] Loss_D: -0.021916 Loss_G: -0.000622 Loss_D_real: -0.001948 Loss_D_fake 0.019968
[1065/5000][420/535][109847] Loss_D: -0.022989 Loss_G: 0.011088 Loss_D_real: -0.010256 Loss_D_fake 0.012733
[1065/5000][425/535][109848] Loss_D: -0.021670 Loss_G: -0.003000 Loss_D_real: 0.001262 Loss_D_fake 0.022932
[1065/5000][430/535][109849] Loss_D: -0.021760 Loss_G: 0.005245 Loss_D_real: -0.020823 Loss_D_fake 0.000937
[1065/5000][435/535][109850] Loss_D: -0.023051 Loss_G: 0.011596 Loss_D_real: -0.011941 Loss_D_fake 0.011110
[1065/5000][440/535][109851] Loss_D: -0.022949 Loss_G: 0.015060 Loss_D_real: -0.018015 Loss_D_fake 0.004934
[1065/5000][445/535][109852] Loss_D: -0.022981 Loss_G: 0.006124 Loss_D_real: -0.018782 Loss_D_fake 0.004199
[1065/5000][450/535][109853] Loss_D: -0.021856 Loss_G: 0.011165 Loss_D_real: -0.017912 Loss_D_fake 0.003944
[1065/5000][455/535][109854] Loss_D: -0.021729 Loss_G: 0.008873 Loss_D_real: -0.012083 Loss_D_fake 0.009646
[1065/5000][460/535][109855] Loss_D: -0.022872 Loss_G: 0.015362 Loss_D_real: -0.031866 Loss_D_fake -0.008994
[1065/5000][465/535][109856] Loss_D: -0.022465 Loss_G: 0.005882 Loss_D_real: -0.027780 Loss_D_fake -0.005314
[1065/5000][470/535][109857] Loss_D: -0.022596 Loss_G: -0.000026 Loss_D_real: -0.006598 Loss_D_fake 0.015998
[1065/5000][475/535][109858] Loss_D: -0.021799 Loss_G: 0.006868 Loss_D_real: -0.012141 Loss_D_fake 0.009658
[1065/5000][480/535][109859] Loss_D: -0.020250 Loss_G: 0.025623 Loss_D_real: -0.027496 Loss_D_fake -0.007245
[1065/5000][485/535][109860] Loss_D: -0.021923 Loss_G: 0.003463 Loss_D_real: -0.034335 Loss_D_fake -0.012411
[1065/5000][490/535][109861] Loss_D: -0.022352 Loss_G: 0.007726 Loss_D_real: -0.037231 Loss_D_fake -0.014879
[1065/5000][495/535][109862] Loss_D: -0.022701 Loss_G: 0.004536 Loss_D_real: -0.008541 Loss_D_fake 0.014160
[1065/5000][500/535][109863] Loss_D: -0.021295 Loss_G: 0.012689 Loss_D_real: -0.026356 Loss_D_fake -0.005061
[1065/5000][505/535][109864] Loss_D: -0.022242 Loss_G: 0.011891 Loss_D_real: -0.024191 Loss_D_fake -0.001949
[1065/5000][510/535][109865] Loss_D: -0.023652 Loss_G: 0.004441 Loss_D_real: -0.010515 Loss_D_fake 0.013137
[1065/5000][515/535][109866] Loss_D: -0.022576 Loss_G: 0.011311 Loss_D_real: -0.020464 Loss_D_fake 0.002112
[1065/5000][520/535][109867] Loss_D: -0.021621 Loss_G: 0.000636 Loss_D_real: -0.018812 Loss_D_fake 0.002809
[1065/5000][525/535][109868] Loss_D: -0.023204 Loss_G: 0.024879 Loss_D_real: -0.022168 Loss_D_fake 0.001036
[1065/5000][530/535][109869] Loss_D: -0.022423 Loss_G: -0.009189 Loss_D_real: 0.000528 Loss_D_fake 0.022951
[1065/5000][535/535][109870] Loss_D: -0.020998 Loss_G: 0.010604 Loss_D_real: -0.005131 Loss_D_fake 0.015867
[1066/5000][5/535][109871] Loss_D: -0.021650 Loss_G: 0.013578 Loss_D_real: -0.016870 Loss_D_fake 0.004780
[1066/5000][10/535][109872] Loss_D: -0.023170 Loss_G: 0.019299 Loss_D_real: -0.023475 Loss_D_fake -0.000304
[1066/5000][15/535][109873] Loss_D: -0.023361 Loss_G: -0.001601 Loss_D_real: -0.012275 Loss_D_fake 0.011085
[1066/5000][20/535][109874] Loss_D: -0.024015 Loss_G: 0.006103 Loss_D_real: -0.014955 Loss_D_fake 0.009060
[1066/5000][25/535][109875] Loss_D: -0.022277 Loss_G: -0.002422 Loss_D_real: -0.024375 Loss_D_fake -0.002098
[1066/5000][30/535][109876] Loss_D: -0.022736 Loss_G: 0.012754 Loss_D_real: -0.029299 Loss_D_fake -0.006563
[1066/5000][35/535][109877] Loss_D: -0.022297 Loss_G: 0.028998 Loss_D_real: -0.021783 Loss_D_fake 0.000514
[1066/5000][40/535][109878] Loss_D: -0.022034 Loss_G: 0.009410 Loss_D_real: -0.022611 Loss_D_fake -0.000576
[1066/5000][45/535][109879] Loss_D: -0.022575 Loss_G: -0.000852 Loss_D_real: -0.017890 Loss_D_fake 0.004684
[1066/5000][50/535][109880] Loss_D: -0.021439 Loss_G: 0.003686 Loss_D_real: -0.012856 Loss_D_fake 0.008583
[1066/5000][55/535][109881] Loss_D: -0.022530 Loss_G: 0.008465 Loss_D_real: -0.027457 Loss_D_fake -0.004927
[1066/5000][60/535][109882] Loss_D: -0.022739 Loss_G: 0.007593 Loss_D_real: -0.019183 Loss_D_fake 0.003557
[1066/5000][65/535][109883] Loss_D: -0.021654 Loss_G: 0.021402 Loss_D_real: -0.019539 Loss_D_fake 0.002115
[1066/5000][70/535][109884] Loss_D: -0.022009 Loss_G: 0.009830 Loss_D_real: -0.014802 Loss_D_fake 0.007207
[1066/5000][75/535][109885] Loss_D: -0.021179 Loss_G: 0.021829 Loss_D_real: -0.032396 Loss_D_fake -0.011217
[1066/5000][80/535][109886] Loss_D: -0.022272 Loss_G: -0.015169 Loss_D_real: -0.004067 Loss_D_fake 0.018204
[1066/5000][85/535][109887] Loss_D: -0.020147 Loss_G: 0.026067 Loss_D_real: -0.022596 Loss_D_fake -0.002449
[1066/5000][90/535][109888] Loss_D: -0.021476 Loss_G: -0.012819 Loss_D_real: -0.011632 Loss_D_fake 0.009843
[1066/5000][95/535][109889] Loss_D: -0.022250 Loss_G: 0.008340 Loss_D_real: -0.016534 Loss_D_fake 0.005716
[1066/5000][100/535][109890] Loss_D: -0.022657 Loss_G: 0.012520 Loss_D_real: -0.010717 Loss_D_fake 0.011940
[1066/5000][105/535][109891] Loss_D: -0.021176 Loss_G: -0.009923 Loss_D_real: -0.010171 Loss_D_fake 0.011005
[1066/5000][110/535][109892] Loss_D: -0.019735 Loss_G: 0.026060 Loss_D_real: -0.032692 Loss_D_fake -0.012957
[1066/5000][115/535][109893] Loss_D: -0.020067 Loss_G: 0.003776 Loss_D_real: -0.020482 Loss_D_fake -0.000415
[1066/5000][120/535][109894] Loss_D: -0.021250 Loss_G: 0.002929 Loss_D_real: -0.007059 Loss_D_fake 0.014191
[1066/5000][125/535][109895] Loss_D: -0.021279 Loss_G: 0.004952 Loss_D_real: -0.021809 Loss_D_fake -0.000530
[1066/5000][130/535][109896] Loss_D: -0.022296 Loss_G: 0.029087 Loss_D_real: -0.031519 Loss_D_fake -0.009223
[1066/5000][135/535][109897] Loss_D: -0.022776 Loss_G: -0.001346 Loss_D_real: -0.016294 Loss_D_fake 0.006482
[1066/5000][140/535][109898] Loss_D: -0.021294 Loss_G: -0.002347 Loss_D_real: -0.007688 Loss_D_fake 0.013606
[1066/5000][145/535][109899] Loss_D: -0.020490 Loss_G: 0.025483 Loss_D_real: -0.031867 Loss_D_fake -0.011378
[1066/5000][150/535][109900] Loss_D: -0.022517 Loss_G: 0.021345 Loss_D_real: -0.022047 Loss_D_fake 0.000470
[1066/5000][155/535][109901] Loss_D: -0.023274 Loss_G: -0.000313 Loss_D_real: -0.015461 Loss_D_fake 0.007813
[1066/5000][160/535][109902] Loss_D: -0.021850 Loss_G: 0.003405 Loss_D_real: -0.017019 Loss_D_fake 0.004831
[1066/5000][165/535][109903] Loss_D: -0.021953 Loss_G: -0.001102 Loss_D_real: -0.008536 Loss_D_fake 0.013417
[1066/5000][170/535][109904] Loss_D: -0.022491 Loss_G: 0.021333 Loss_D_real: -0.026391 Loss_D_fake -0.003899
[1066/5000][175/535][109905] Loss_D: -0.021870 Loss_G: 0.013222 Loss_D_real: -0.016468 Loss_D_fake 0.005402
[1066/5000][180/535][109906] Loss_D: -0.023470 Loss_G: -0.003565 Loss_D_real: -0.014582 Loss_D_fake 0.008888
[1066/5000][185/535][109907] Loss_D: -0.022332 Loss_G: -0.001598 Loss_D_real: -0.014211 Loss_D_fake 0.008121
[1066/5000][190/535][109908] Loss_D: -0.022613 Loss_G: 0.017670 Loss_D_real: -0.026073 Loss_D_fake -0.003460
[1066/5000][195/535][109909] Loss_D: -0.022535 Loss_G: 0.007603 Loss_D_real: -0.010860 Loss_D_fake 0.011676
[1066/5000][200/535][109910] Loss_D: -0.023948 Loss_G: 0.007317 Loss_D_real: -0.020998 Loss_D_fake 0.002950
[1066/5000][205/535][109911] Loss_D: -0.022634 Loss_G: -0.002201 Loss_D_real: -0.003981 Loss_D_fake 0.018653
[1066/5000][210/535][109912] Loss_D: -0.020113 Loss_G: 0.021305 Loss_D_real: -0.026643 Loss_D_fake -0.006530
[1066/5000][215/535][109913] Loss_D: -0.021695 Loss_G: -0.013985 Loss_D_real: -0.014262 Loss_D_fake 0.007433
[1066/5000][220/535][109914] Loss_D: -0.022809 Loss_G: 0.016909 Loss_D_real: -0.023710 Loss_D_fake -0.000901
[1066/5000][225/535][109915] Loss_D: -0.022341 Loss_G: 0.002915 Loss_D_real: -0.002430 Loss_D_fake 0.019911
[1066/5000][230/535][109916] Loss_D: -0.022397 Loss_G: -0.014011 Loss_D_real: -0.002998 Loss_D_fake 0.019399
[1066/5000][235/535][109917] Loss_D: -0.020104 Loss_G: 0.033484 Loss_D_real: -0.033095 Loss_D_fake -0.012992
[1066/5000][240/535][109918] Loss_D: -0.021206 Loss_G: 0.013900 Loss_D_real: -0.028238 Loss_D_fake -0.007032
[1066/5000][245/535][109919] Loss_D: -0.021980 Loss_G: -0.016026 Loss_D_real: 0.000057 Loss_D_fake 0.022037
[1066/5000][250/535][109920] Loss_D: -0.021627 Loss_G: 0.025154 Loss_D_real: -0.023841 Loss_D_fake -0.002214
[1066/5000][255/535][109921] Loss_D: -0.021479 Loss_G: 0.015766 Loss_D_real: -0.017994 Loss_D_fake 0.003486
[1066/5000][260/535][109922] Loss_D: -0.022118 Loss_G: 0.013934 Loss_D_real: -0.018404 Loss_D_fake 0.003714
[1066/5000][265/535][109923] Loss_D: -0.021002 Loss_G: -0.011239 Loss_D_real: -0.012081 Loss_D_fake 0.008921
[1066/5000][270/535][109924] Loss_D: -0.020913 Loss_G: 0.026914 Loss_D_real: -0.021545 Loss_D_fake -0.000633
[1066/5000][275/535][109925] Loss_D: -0.021433 Loss_G: 0.004909 Loss_D_real: -0.022993 Loss_D_fake -0.001560
[1066/5000][280/535][109926] Loss_D: -0.024110 Loss_G: 0.012246 Loss_D_real: -0.018888 Loss_D_fake 0.005222
[1066/5000][285/535][109927] Loss_D: -0.022434 Loss_G: -0.002197 Loss_D_real: -0.006926 Loss_D_fake 0.015508
[1066/5000][290/535][109928] Loss_D: -0.022359 Loss_G: 0.008673 Loss_D_real: -0.017990 Loss_D_fake 0.004370
[1066/5000][295/535][109929] Loss_D: -0.022808 Loss_G: 0.024320 Loss_D_real: -0.019826 Loss_D_fake 0.002981
[1066/5000][300/535][109930] Loss_D: -0.021723 Loss_G: 0.008559 Loss_D_real: -0.026290 Loss_D_fake -0.004567
[1066/5000][305/535][109931] Loss_D: -0.023529 Loss_G: 0.017517 Loss_D_real: -0.020883 Loss_D_fake 0.002646
[1066/5000][310/535][109932] Loss_D: -0.022802 Loss_G: 0.003810 Loss_D_real: -0.019396 Loss_D_fake 0.003406
[1066/5000][315/535][109933] Loss_D: -0.021367 Loss_G: 0.016216 Loss_D_real: -0.023893 Loss_D_fake -0.002525
[1066/5000][320/535][109934] Loss_D: -0.022423 Loss_G: 0.012114 Loss_D_real: -0.018617 Loss_D_fake 0.003806
[1066/5000][325/535][109935] Loss_D: -0.022900 Loss_G: 0.012058 Loss_D_real: -0.017132 Loss_D_fake 0.005769
[1066/5000][330/535][109936] Loss_D: -0.021544 Loss_G: 0.019126 Loss_D_real: -0.031937 Loss_D_fake -0.010393
[1066/5000][335/535][109937] Loss_D: -0.021088 Loss_G: 0.006888 Loss_D_real: -0.025835 Loss_D_fake -0.004747
[1066/5000][340/535][109938] Loss_D: -0.019103 Loss_G: -0.011100 Loss_D_real: 0.010398 Loss_D_fake 0.029501
[1066/5000][345/535][109939] Loss_D: -0.021017 Loss_G: 0.019264 Loss_D_real: -0.027856 Loss_D_fake -0.006839
[1066/5000][350/535][109940] Loss_D: -0.020978 Loss_G: 0.012702 Loss_D_real: -0.026380 Loss_D_fake -0.005402
[1066/5000][355/535][109941] Loss_D: -0.022363 Loss_G: 0.013036 Loss_D_real: -0.012628 Loss_D_fake 0.009736
[1066/5000][360/535][109942] Loss_D: -0.022652 Loss_G: -0.018180 Loss_D_real: -0.008444 Loss_D_fake 0.014208
[1066/5000][365/535][109943] Loss_D: -0.021508 Loss_G: 0.019786 Loss_D_real: -0.023524 Loss_D_fake -0.002017
[1066/5000][370/535][109944] Loss_D: -0.021728 Loss_G: -0.005671 Loss_D_real: -0.007617 Loss_D_fake 0.014111
[1066/5000][375/535][109945] Loss_D: -0.022303 Loss_G: -0.003448 Loss_D_real: -0.013697 Loss_D_fake 0.008606
[1066/5000][380/535][109946] Loss_D: -0.020616 Loss_G: 0.015641 Loss_D_real: -0.023616 Loss_D_fake -0.003000
[1066/5000][385/535][109947] Loss_D: -0.022173 Loss_G: 0.015712 Loss_D_real: -0.016273 Loss_D_fake 0.005900
[1066/5000][390/535][109948] Loss_D: -0.021722 Loss_G: 0.014438 Loss_D_real: -0.013751 Loss_D_fake 0.007970
[1066/5000][395/535][109949] Loss_D: -0.020888 Loss_G: -0.008717 Loss_D_real: -0.006025 Loss_D_fake 0.014864
[1066/5000][400/535][109950] Loss_D: -0.020342 Loss_G: 0.025925 Loss_D_real: -0.029757 Loss_D_fake -0.009414
[1066/5000][405/535][109951] Loss_D: -0.024019 Loss_G: 0.014072 Loss_D_real: -0.014542 Loss_D_fake 0.009478
[1066/5000][410/535][109952] Loss_D: -0.022651 Loss_G: 0.017685 Loss_D_real: -0.017247 Loss_D_fake 0.005404
[1066/5000][415/535][109953] Loss_D: -0.022428 Loss_G: -0.010504 Loss_D_real: -0.011320 Loss_D_fake 0.011108
[1066/5000][420/535][109954] Loss_D: -0.021627 Loss_G: 0.005430 Loss_D_real: -0.025128 Loss_D_fake -0.003501
[1066/5000][425/535][109955] Loss_D: -0.021999 Loss_G: -0.001651 Loss_D_real: -0.013348 Loss_D_fake 0.008651
[1066/5000][430/535][109956] Loss_D: -0.021892 Loss_G: 0.021190 Loss_D_real: -0.028253 Loss_D_fake -0.006361
[1066/5000][435/535][109957] Loss_D: -0.023065 Loss_G: 0.011717 Loss_D_real: -0.018445 Loss_D_fake 0.004620
[1066/5000][440/535][109958] Loss_D: -0.023299 Loss_G: 0.005971 Loss_D_real: -0.011594 Loss_D_fake 0.011705
[1066/5000][445/535][109959] Loss_D: -0.022273 Loss_G: 0.010237 Loss_D_real: -0.031104 Loss_D_fake -0.008831
[1066/5000][450/535][109960] Loss_D: -0.021996 Loss_G: 0.001920 Loss_D_real: -0.019031 Loss_D_fake 0.002965
[1066/5000][455/535][109961] Loss_D: -0.022718 Loss_G: 0.014570 Loss_D_real: -0.016235 Loss_D_fake 0.006483
[1066/5000][460/535][109962] Loss_D: -0.023267 Loss_G: 0.009723 Loss_D_real: -0.032030 Loss_D_fake -0.008762
[1066/5000][465/535][109963] Loss_D: -0.022655 Loss_G: 0.027507 Loss_D_real: -0.024347 Loss_D_fake -0.001692
[1066/5000][470/535][109964] Loss_D: -0.021787 Loss_G: -0.009032 Loss_D_real: -0.011886 Loss_D_fake 0.009901
[1066/5000][475/535][109965] Loss_D: -0.022838 Loss_G: 0.024996 Loss_D_real: -0.035105 Loss_D_fake -0.012267
[1066/5000][480/535][109966] Loss_D: -0.023380 Loss_G: 0.024786 Loss_D_real: -0.022034 Loss_D_fake 0.001346
[1066/5000][485/535][109967] Loss_D: -0.022429 Loss_G: 0.000426 Loss_D_real: -0.016101 Loss_D_fake 0.006329
[1066/5000][490/535][109968] Loss_D: -0.022350 Loss_G: 0.012803 Loss_D_real: -0.023104 Loss_D_fake -0.000754
[1066/5000][495/535][109969] Loss_D: -0.020502 Loss_G: 0.028523 Loss_D_real: -0.030332 Loss_D_fake -0.009829
[1066/5000][500/535][109970] Loss_D: -0.023940 Loss_G: -0.006092 Loss_D_real: -0.017738 Loss_D_fake 0.006202
[1066/5000][505/535][109971] Loss_D: -0.020335 Loss_G: -0.014353 Loss_D_real: 0.003706 Loss_D_fake 0.024041
[1066/5000][510/535][109972] Loss_D: -0.020460 Loss_G: 0.017342 Loss_D_real: -0.021359 Loss_D_fake -0.000899
[1066/5000][515/535][109973] Loss_D: -0.020757 Loss_G: -0.010546 Loss_D_real: -0.001186 Loss_D_fake 0.019571
[1066/5000][520/535][109974] Loss_D: -0.021261 Loss_G: 0.012102 Loss_D_real: -0.016891 Loss_D_fake 0.004370
[1066/5000][525/535][109975] Loss_D: -0.020315 Loss_G: 0.025773 Loss_D_real: -0.037616 Loss_D_fake -0.017300
[1066/5000][530/535][109976] Loss_D: -0.022524 Loss_G: 0.003179 Loss_D_real: -0.005951 Loss_D_fake 0.016573
[1066/5000][535/535][109977] Loss_D: -0.023827 Loss_G: -0.002124 Loss_D_real: -0.014998 Loss_D_fake 0.008829
[1067/5000][5/535][109978] Loss_D: -0.023079 Loss_G: -0.000552 Loss_D_real: -0.020507 Loss_D_fake 0.002572
[1067/5000][10/535][109979] Loss_D: -0.024031 Loss_G: 0.016886 Loss_D_real: -0.016652 Loss_D_fake 0.007379
[1067/5000][15/535][109980] Loss_D: -0.021994 Loss_G: -0.009958 Loss_D_real: -0.008103 Loss_D_fake 0.013891
[1067/5000][20/535][109981] Loss_D: -0.024122 Loss_G: 0.010600 Loss_D_real: -0.004918 Loss_D_fake 0.019204
[1067/5000][25/535][109982] Loss_D: -0.021800 Loss_G: 0.014477 Loss_D_real: -0.016146 Loss_D_fake 0.005654
[1067/5000][30/535][109983] Loss_D: -0.022000 Loss_G: 0.018629 Loss_D_real: -0.032126 Loss_D_fake -0.010126
[1067/5000][35/535][109984] Loss_D: -0.021787 Loss_G: 0.015875 Loss_D_real: -0.016204 Loss_D_fake 0.005583
[1067/5000][40/535][109985] Loss_D: -0.022161 Loss_G: -0.011221 Loss_D_real: -0.004165 Loss_D_fake 0.017996
[1067/5000][45/535][109986] Loss_D: -0.023341 Loss_G: 0.006645 Loss_D_real: -0.021013 Loss_D_fake 0.002327
[1067/5000][50/535][109987] Loss_D: -0.022231 Loss_G: 0.003923 Loss_D_real: -0.022262 Loss_D_fake -0.000031
[1067/5000][55/535][109988] Loss_D: -0.022566 Loss_G: -0.003837 Loss_D_real: -0.005246 Loss_D_fake 0.017320
[1067/5000][60/535][109989] Loss_D: -0.023130 Loss_G: 0.005293 Loss_D_real: -0.011005 Loss_D_fake 0.012124
[1067/5000][65/535][109990] Loss_D: -0.021747 Loss_G: 0.015884 Loss_D_real: -0.016386 Loss_D_fake 0.005361
[1067/5000][70/535][109991] Loss_D: -0.022240 Loss_G: 0.022159 Loss_D_real: -0.020822 Loss_D_fake 0.001418
[1067/5000][75/535][109992] Loss_D: -0.022053 Loss_G: -0.000875 Loss_D_real: -0.012755 Loss_D_fake 0.009299
[1067/5000][80/535][109993] Loss_D: -0.021827 Loss_G: 0.012836 Loss_D_real: -0.021267 Loss_D_fake 0.000560
[1067/5000][85/535][109994] Loss_D: -0.022253 Loss_G: 0.001682 Loss_D_real: 0.003180 Loss_D_fake 0.025434
[1067/5000][90/535][109995] Loss_D: -0.019057 Loss_G: -0.015325 Loss_D_real: 0.007562 Loss_D_fake 0.026619
[1067/5000][95/535][109996] Loss_D: -0.022352 Loss_G: 0.014582 Loss_D_real: -0.015929 Loss_D_fake 0.006424
[1067/5000][100/535][109997] Loss_D: -0.021848 Loss_G: 0.009924 Loss_D_real: -0.013197 Loss_D_fake 0.008650
[1067/5000][105/535][109998] Loss_D: -0.020040 Loss_G: 0.009737 Loss_D_real: -0.029244 Loss_D_fake -0.009204
[1067/5000][110/535][109999] Loss_D: -0.021007 Loss_G: -0.012784 Loss_D_real: -0.004654 Loss_D_fake 0.016353
[1067/5000][115/535][110000] Loss_D: -0.021762 Loss_G: 0.010719 Loss_D_real: -0.024866 Loss_D_fake -0.003104
[1067/5000][215/535][110001] Loss_D: -0.023803 Loss_G: 0.023023 Loss_D_real: -0.035966 Loss_D_fake -0.012163
[1067/5000][220/535][110002] Loss_D: -0.023942 Loss_G: -0.002025 Loss_D_real: -0.007166 Loss_D_fake 0.016776
[1067/5000][225/535][110003] Loss_D: -0.021279 Loss_G: 0.014545 Loss_D_real: -0.019321 Loss_D_fake 0.001958
[1067/5000][230/535][110004] Loss_D: -0.021386 Loss_G: 0.013100 Loss_D_real: -0.011285 Loss_D_fake 0.010101
[1067/5000][235/535][110005] Loss_D: -0.020973 Loss_G: 0.008510 Loss_D_real: -0.025025 Loss_D_fake -0.004051
[1067/5000][240/535][110006] Loss_D: -0.021582 Loss_G: -0.006495 Loss_D_real: -0.015468 Loss_D_fake 0.006114
[1067/5000][245/535][110007] Loss_D: -0.022313 Loss_G: 0.016247 Loss_D_real: -0.014509 Loss_D_fake 0.007805
[1067/5000][250/535][110008] Loss_D: -0.019186 Loss_G: 0.003311 Loss_D_real: -0.018208 Loss_D_fake 0.000978
[1067/5000][255/535][110009] Loss_D: -0.022149 Loss_G: -0.006116 Loss_D_real: -0.009063 Loss_D_fake 0.013086
[1067/5000][260/535][110010] Loss_D: -0.020949 Loss_G: 0.016864 Loss_D_real: -0.010408 Loss_D_fake 0.010541
[1067/5000][265/535][110011] Loss_D: -0.021097 Loss_G: 0.028190 Loss_D_real: -0.030050 Loss_D_fake -0.008953
[1067/5000][270/535][110012] Loss_D: -0.022794 Loss_G: -0.000879 Loss_D_real: -0.024200 Loss_D_fake -0.001405
[1067/5000][275/535][110013] Loss_D: -0.023294 Loss_G: 0.015067 Loss_D_real: -0.029993 Loss_D_fake -0.006700
[1067/5000][280/535][110014] Loss_D: -0.023226 Loss_G: 0.015730 Loss_D_real: -0.020787 Loss_D_fake 0.002439
[1067/5000][285/535][110015] Loss_D: -0.022249 Loss_G: 0.010031 Loss_D_real: -0.008065 Loss_D_fake 0.014184
[1067/5000][290/535][110016] Loss_D: -0.021910 Loss_G: 0.024797 Loss_D_real: -0.022788 Loss_D_fake -0.000879
[1067/5000][295/535][110017] Loss_D: -0.021123 Loss_G: 0.017119 Loss_D_real: -0.031191 Loss_D_fake -0.010067
[1067/5000][300/535][110018] Loss_D: -0.023016 Loss_G: 0.019852 Loss_D_real: -0.026647 Loss_D_fake -0.003632
[1067/5000][305/535][110019] Loss_D: -0.021590 Loss_G: -0.016564 Loss_D_real: -0.002580 Loss_D_fake 0.019010
[1067/5000][310/535][110020] Loss_D: -0.021264 Loss_G: 0.013803 Loss_D_real: -0.017755 Loss_D_fake 0.003510
[1067/5000][315/535][110021] Loss_D: -0.022044 Loss_G: 0.017564 Loss_D_real: -0.026641 Loss_D_fake -0.004597
[1067/5000][320/535][110022] Loss_D: -0.022453 Loss_G: 0.005712 Loss_D_real: -0.024448 Loss_D_fake -0.001995
[1067/5000][325/535][110023] Loss_D: -0.022550 Loss_G: 0.013799 Loss_D_real: -0.009884 Loss_D_fake 0.012666
[1067/5000][330/535][110024] Loss_D: -0.022786 Loss_G: 0.009794 Loss_D_real: -0.019311 Loss_D_fake 0.003475
[1067/5000][335/535][110025] Loss_D: -0.022313 Loss_G: -0.011500 Loss_D_real: -0.004519 Loss_D_fake 0.017794
[1067/5000][340/535][110026] Loss_D: -0.022246 Loss_G: 0.011543 Loss_D_real: -0.011693 Loss_D_fake 0.010553
[1067/5000][345/535][110027] Loss_D: -0.021962 Loss_G: 0.019693 Loss_D_real: -0.021405 Loss_D_fake 0.000558
[1067/5000][350/535][110028] Loss_D: -0.020141 Loss_G: -0.010027 Loss_D_real: -0.013331 Loss_D_fake 0.006810
[1067/5000][355/535][110029] Loss_D: -0.021844 Loss_G: 0.010206 Loss_D_real: -0.015386 Loss_D_fake 0.006458
[1067/5000][360/535][110030] Loss_D: -0.019771 Loss_G: 0.023733 Loss_D_real: -0.032988 Loss_D_fake -0.013217
[1067/5000][365/535][110031] Loss_D: -0.021293 Loss_G: -0.021568 Loss_D_real: -0.007246 Loss_D_fake 0.014047
[1067/5000][370/535][110032] Loss_D: -0.021693 Loss_G: 0.004567 Loss_D_real: -0.018746 Loss_D_fake 0.002947
[1067/5000][375/535][110033] Loss_D: -0.021271 Loss_G: 0.034063 Loss_D_real: -0.023889 Loss_D_fake -0.002618
[1067/5000][380/535][110034] Loss_D: -0.020626 Loss_G: -0.008199 Loss_D_real: -0.004413 Loss_D_fake 0.016212
[1067/5000][385/535][110035] Loss_D: -0.020134 Loss_G: 0.028143 Loss_D_real: -0.030080 Loss_D_fake -0.009946
[1067/5000][390/535][110036] Loss_D: -0.021050 Loss_G: 0.008149 Loss_D_real: -0.034815 Loss_D_fake -0.013765
[1067/5000][395/535][110037] Loss_D: -0.021086 Loss_G: 0.003720 Loss_D_real: -0.009199 Loss_D_fake 0.011887
[1067/5000][400/535][110038] Loss_D: -0.022177 Loss_G: -0.008663 Loss_D_real: -0.009211 Loss_D_fake 0.012966
[1067/5000][405/535][110039] Loss_D: -0.023230 Loss_G: 0.029325 Loss_D_real: -0.026594 Loss_D_fake -0.003364
[1067/5000][410/535][110040] Loss_D: -0.021433 Loss_G: 0.013419 Loss_D_real: -0.031879 Loss_D_fake -0.010445
[1067/5000][415/535][110041] Loss_D: -0.022272 Loss_G: -0.004062 Loss_D_real: -0.000338 Loss_D_fake 0.021934
[1067/5000][420/535][110042] Loss_D: -0.021534 Loss_G: -0.003589 Loss_D_real: -0.000673 Loss_D_fake 0.020861
[1067/5000][425/535][110043] Loss_D: -0.021476 Loss_G: -0.000277 Loss_D_real: -0.012079 Loss_D_fake 0.009397
[1067/5000][430/535][110044] Loss_D: -0.021430 Loss_G: 0.019088 Loss_D_real: -0.031061 Loss_D_fake -0.009631
[1067/5000][435/535][110045] Loss_D: -0.021538 Loss_G: 0.010885 Loss_D_real: -0.016536 Loss_D_fake 0.005002
[1067/5000][440/535][110046] Loss_D: -0.022447 Loss_G: 0.002468 Loss_D_real: -0.014826 Loss_D_fake 0.007621
[1067/5000][445/535][110047] Loss_D: -0.022393 Loss_G: 0.004591 Loss_D_real: -0.005611 Loss_D_fake 0.016782
[1067/5000][450/535][110048] Loss_D: -0.024613 Loss_G: -0.007090 Loss_D_real: -0.017265 Loss_D_fake 0.007348
[1067/5000][455/535][110049] Loss_D: -0.022612 Loss_G: 0.026270 Loss_D_real: -0.026359 Loss_D_fake -0.003747
[1067/5000][460/535][110050] Loss_D: -0.022413 Loss_G: -0.009804 Loss_D_real: -0.003346 Loss_D_fake 0.019067
[1067/5000][465/535][110051] Loss_D: -0.021730 Loss_G: 0.000967 Loss_D_real: -0.020540 Loss_D_fake 0.001190
[1067/5000][470/535][110052] Loss_D: -0.023635 Loss_G: 0.009187 Loss_D_real: -0.018003 Loss_D_fake 0.005632
[1067/5000][475/535][110053] Loss_D: -0.022804 Loss_G: -0.003929 Loss_D_real: -0.012124 Loss_D_fake 0.010681
[1067/5000][480/535][110054] Loss_D: -0.021991 Loss_G: 0.029202 Loss_D_real: -0.027680 Loss_D_fake -0.005689
[1067/5000][485/535][110055] Loss_D: -0.022030 Loss_G: -0.001866 Loss_D_real: -0.016296 Loss_D_fake 0.005735
[1067/5000][490/535][110056] Loss_D: -0.022712 Loss_G: 0.012187 Loss_D_real: -0.026539 Loss_D_fake -0.003827
[1067/5000][495/535][110057] Loss_D: -0.022564 Loss_G: 0.016569 Loss_D_real: -0.018287 Loss_D_fake 0.004277
[1067/5000][500/535][110058] Loss_D: -0.020752 Loss_G: 0.030719 Loss_D_real: -0.035674 Loss_D_fake -0.014922
[1067/5000][505/535][110059] Loss_D: -0.022177 Loss_G: 0.000339 Loss_D_real: -0.012283 Loss_D_fake 0.009894
[1067/5000][510/535][110060] Loss_D: -0.021091 Loss_G: -0.003758 Loss_D_real: -0.014310 Loss_D_fake 0.006780
[1067/5000][515/535][110061] Loss_D: -0.022185 Loss_G: 0.017853 Loss_D_real: -0.018956 Loss_D_fake 0.003229
[1067/5000][520/535][110062] Loss_D: -0.021954 Loss_G: 0.010086 Loss_D_real: -0.016263 Loss_D_fake 0.005691
[1067/5000][525/535][110063] Loss_D: -0.022205 Loss_G: 0.009724 Loss_D_real: -0.030883 Loss_D_fake -0.008678
[1067/5000][530/535][110064] Loss_D: -0.022131 Loss_G: -0.000760 Loss_D_real: -0.007456 Loss_D_fake 0.014674
[1067/5000][535/535][110065] Loss_D: -0.025150 Loss_G: 0.014741 Loss_D_real: -0.023497 Loss_D_fake 0.001653
[1068/5000][5/535][110066] Loss_D: -0.022036 Loss_G: -0.009270 Loss_D_real: -0.007936 Loss_D_fake 0.014101
[1068/5000][10/535][110067] Loss_D: -0.021641 Loss_G: 0.011707 Loss_D_real: -0.012937 Loss_D_fake 0.008704
[1068/5000][15/535][110068] Loss_D: -0.021307 Loss_G: 0.014994 Loss_D_real: -0.016277 Loss_D_fake 0.005030
[1068/5000][20/535][110069] Loss_D: -0.022635 Loss_G: 0.008405 Loss_D_real: -0.014539 Loss_D_fake 0.008096
[1068/5000][25/535][110070] Loss_D: -0.022302 Loss_G: 0.002946 Loss_D_real: -0.006834 Loss_D_fake 0.015468
[1068/5000][30/535][110071] Loss_D: -0.021108 Loss_G: -0.017872 Loss_D_real: -0.000080 Loss_D_fake 0.021028
[1068/5000][35/535][110072] Loss_D: -0.020999 Loss_G: 0.022826 Loss_D_real: -0.027471 Loss_D_fake -0.006472
[1068/5000][40/535][110073] Loss_D: -0.021688 Loss_G: -0.006740 Loss_D_real: -0.003666 Loss_D_fake 0.018022
[1068/5000][45/535][110074] Loss_D: -0.022070 Loss_G: 0.010730 Loss_D_real: -0.038803 Loss_D_fake -0.016733
[1068/5000][50/535][110075] Loss_D: -0.021068 Loss_G: 0.017186 Loss_D_real: -0.027524 Loss_D_fake -0.006455
[1068/5000][55/535][110076] Loss_D: -0.022805 Loss_G: 0.001327 Loss_D_real: -0.007000 Loss_D_fake 0.015805
[1068/5000][60/535][110077] Loss_D: -0.021674 Loss_G: 0.009142 Loss_D_real: -0.015112 Loss_D_fake 0.006562
[1068/5000][65/535][110078] Loss_D: -0.021599 Loss_G: 0.014557 Loss_D_real: -0.025901 Loss_D_fake -0.004302
[1068/5000][70/535][110079] Loss_D: -0.021213 Loss_G: 0.024218 Loss_D_real: -0.014981 Loss_D_fake 0.006232
[1068/5000][75/535][110080] Loss_D: -0.021519 Loss_G: 0.021613 Loss_D_real: -0.029306 Loss_D_fake -0.007787
[1068/5000][80/535][110081] Loss_D: -0.019881 Loss_G: 0.026723 Loss_D_real: -0.021714 Loss_D_fake -0.001834
[1068/5000][85/535][110082] Loss_D: -0.020382 Loss_G: -0.003894 Loss_D_real: -0.011329 Loss_D_fake 0.009053
[1068/5000][90/535][110083] Loss_D: -0.021975 Loss_G: 0.004681 Loss_D_real: -0.023970 Loss_D_fake -0.001995
[1068/5000][95/535][110084] Loss_D: -0.021554 Loss_G: 0.014116 Loss_D_real: -0.033992 Loss_D_fake -0.012438
[1068/5000][100/535][110085] Loss_D: -0.022450 Loss_G: 0.007120 Loss_D_real: -0.008832 Loss_D_fake 0.013618
[1068/5000][105/535][110086] Loss_D: -0.022095 Loss_G: 0.004042 Loss_D_real: -0.014065 Loss_D_fake 0.008031
[1068/5000][110/535][110087] Loss_D: -0.022574 Loss_G: 0.013418 Loss_D_real: -0.032608 Loss_D_fake -0.010034
[1068/5000][115/535][110088] Loss_D: -0.023084 Loss_G: 0.018554 Loss_D_real: -0.025939 Loss_D_fake -0.002855
[1068/5000][120/535][110089] Loss_D: -0.022170 Loss_G: 0.008363 Loss_D_real: -0.016709 Loss_D_fake 0.005461
[1068/5000][125/535][110090] Loss_D: -0.022633 Loss_G: 0.011636 Loss_D_real: -0.019972 Loss_D_fake 0.002661
[1068/5000][130/535][110091] Loss_D: -0.023256 Loss_G: 0.011168 Loss_D_real: -0.023746 Loss_D_fake -0.000490
[1068/5000][135/535][110092] Loss_D: -0.022448 Loss_G: 0.027574 Loss_D_real: -0.027631 Loss_D_fake -0.005184
[1068/5000][140/535][110093] Loss_D: -0.022457 Loss_G: 0.001007 Loss_D_real: -0.016539 Loss_D_fake 0.005917
[1068/5000][145/535][110094] Loss_D: -0.022035 Loss_G: 0.030323 Loss_D_real: -0.023550 Loss_D_fake -0.001515
[1068/5000][150/535][110095] Loss_D: -0.021455 Loss_G: -0.004323 Loss_D_real: -0.006584 Loss_D_fake 0.014871
[1068/5000][155/535][110096] Loss_D: -0.022250 Loss_G: 0.004750 Loss_D_real: -0.029787 Loss_D_fake -0.007537
[1068/5000][160/535][110097] Loss_D: -0.023105 Loss_G: 0.006514 Loss_D_real: -0.016355 Loss_D_fake 0.006750
[1068/5000][165/535][110098] Loss_D: -0.021511 Loss_G: 0.008325 Loss_D_real: -0.007724 Loss_D_fake 0.013788
[1068/5000][170/535][110099] Loss_D: -0.021913 Loss_G: 0.002743 Loss_D_real: -0.013895 Loss_D_fake 0.008018
[1068/5000][175/535][110100] Loss_D: -0.023199 Loss_G: 0.000278 Loss_D_real: -0.009564 Loss_D_fake 0.013635
[1068/5000][180/535][110101] Loss_D: -0.021604 Loss_G: 0.023143 Loss_D_real: -0.031930 Loss_D_fake -0.010325
[1068/5000][185/535][110102] Loss_D: -0.022091 Loss_G: 0.006781 Loss_D_real: -0.026140 Loss_D_fake -0.004049
[1068/5000][190/535][110103] Loss_D: -0.021914 Loss_G: 0.022319 Loss_D_real: -0.022578 Loss_D_fake -0.000664
[1068/5000][195/535][110104] Loss_D: -0.021265 Loss_G: 0.017029 Loss_D_real: -0.024683 Loss_D_fake -0.003419
[1068/5000][200/535][110105] Loss_D: -0.022164 Loss_G: -0.011743 Loss_D_real: -0.013188 Loss_D_fake 0.008976
[1068/5000][205/535][110106] Loss_D: -0.023359 Loss_G: -0.003583 Loss_D_real: -0.016590 Loss_D_fake 0.006769
[1068/5000][210/535][110107] Loss_D: -0.022919 Loss_G: 0.013504 Loss_D_real: -0.016552 Loss_D_fake 0.006367
[1068/5000][215/535][110108] Loss_D: -0.021853 Loss_G: 0.003595 Loss_D_real: -0.017535 Loss_D_fake 0.004318
[1068/5000][220/535][110109] Loss_D: -0.021540 Loss_G: 0.015540 Loss_D_real: -0.023571 Loss_D_fake -0.002030
[1068/5000][225/535][110110] Loss_D: -0.023235 Loss_G: -0.003561 Loss_D_real: -0.010714 Loss_D_fake 0.012520
[1068/5000][230/535][110111] Loss_D: -0.022620 Loss_G: 0.036910 Loss_D_real: -0.031488 Loss_D_fake -0.008868
[1068/5000][235/535][110112] Loss_D: -0.020808 Loss_G: -0.010143 Loss_D_real: -0.000547 Loss_D_fake 0.020261
[1068/5000][240/535][110113] Loss_D: -0.019864 Loss_G: 0.029514 Loss_D_real: -0.029153 Loss_D_fake -0.009290
[1068/5000][245/535][110114] Loss_D: -0.020904 Loss_G: -0.007927 Loss_D_real: -0.014968 Loss_D_fake 0.005937
[1068/5000][250/535][110115] Loss_D: -0.021898 Loss_G: 0.026783 Loss_D_real: -0.026945 Loss_D_fake -0.005046
[1068/5000][255/535][110116] Loss_D: -0.022432 Loss_G: 0.005187 Loss_D_real: -0.015855 Loss_D_fake 0.006577
[1068/5000][260/535][110117] Loss_D: -0.021256 Loss_G: 0.014699 Loss_D_real: -0.026999 Loss_D_fake -0.005744
[1068/5000][265/535][110118] Loss_D: -0.020870 Loss_G: 0.005085 Loss_D_real: -0.012857 Loss_D_fake 0.008013
[1068/5000][270/535][110119] Loss_D: -0.021822 Loss_G: 0.012050 Loss_D_real: -0.028817 Loss_D_fake -0.006995
[1068/5000][275/535][110120] Loss_D: -0.021788 Loss_G: 0.002678 Loss_D_real: -0.013747 Loss_D_fake 0.008041
[1068/5000][280/535][110121] Loss_D: -0.021409 Loss_G: 0.011279 Loss_D_real: -0.013724 Loss_D_fake 0.007685
[1068/5000][285/535][110122] Loss_D: -0.022229 Loss_G: 0.002771 Loss_D_real: -0.006396 Loss_D_fake 0.015834
[1068/5000][290/535][110123] Loss_D: -0.021575 Loss_G: -0.004284 Loss_D_real: -0.015965 Loss_D_fake 0.005609
[1068/5000][295/535][110124] Loss_D: -0.020949 Loss_G: 0.020005 Loss_D_real: -0.038260 Loss_D_fake -0.017311
[1068/5000][300/535][110125] Loss_D: -0.022000 Loss_G: 0.023459 Loss_D_real: -0.030365 Loss_D_fake -0.008365
[1068/5000][305/535][110126] Loss_D: -0.021859 Loss_G: 0.026169 Loss_D_real: -0.029837 Loss_D_fake -0.007979
[1068/5000][310/535][110127] Loss_D: -0.022527 Loss_G: 0.011872 Loss_D_real: -0.020595 Loss_D_fake 0.001932
[1068/5000][315/535][110128] Loss_D: -0.021815 Loss_G: 0.009972 Loss_D_real: -0.014518 Loss_D_fake 0.007297
[1068/5000][320/535][110129] Loss_D: -0.021727 Loss_G: 0.003458 Loss_D_real: -0.015604 Loss_D_fake 0.006123
[1068/5000][325/535][110130] Loss_D: -0.021911 Loss_G: 0.020582 Loss_D_real: -0.026554 Loss_D_fake -0.004643
[1068/5000][330/535][110131] Loss_D: -0.022014 Loss_G: 0.001903 Loss_D_real: -0.014856 Loss_D_fake 0.007158
[1068/5000][335/535][110132] Loss_D: -0.022279 Loss_G: -0.004208 Loss_D_real: -0.006158 Loss_D_fake 0.016121
[1068/5000][340/535][110133] Loss_D: -0.022094 Loss_G: 0.017463 Loss_D_real: -0.034442 Loss_D_fake -0.012348
[1068/5000][345/535][110134] Loss_D: -0.022045 Loss_G: -0.008249 Loss_D_real: -0.004938 Loss_D_fake 0.017106
[1068/5000][350/535][110135] Loss_D: -0.020914 Loss_G: 0.017808 Loss_D_real: -0.021352 Loss_D_fake -0.000439
[1068/5000][355/535][110136] Loss_D: -0.021955 Loss_G: -0.013734 Loss_D_real: -0.001402 Loss_D_fake 0.020554
[1068/5000][360/535][110137] Loss_D: -0.021051 Loss_G: -0.005950 Loss_D_real: -0.012540 Loss_D_fake 0.008511
[1068/5000][365/535][110138] Loss_D: -0.022954 Loss_G: 0.010111 Loss_D_real: -0.024343 Loss_D_fake -0.001390
[1068/5000][370/535][110139] Loss_D: -0.021428 Loss_G: 0.015080 Loss_D_real: -0.026009 Loss_D_fake -0.004581
[1068/5000][375/535][110140] Loss_D: -0.020667 Loss_G: 0.024377 Loss_D_real: -0.033607 Loss_D_fake -0.012940
[1068/5000][380/535][110141] Loss_D: -0.022404 Loss_G: 0.001628 Loss_D_real: -0.015498 Loss_D_fake 0.006906
[1068/5000][385/535][110142] Loss_D: -0.021182 Loss_G: 0.012165 Loss_D_real: -0.021989 Loss_D_fake -0.000807
[1068/5000][390/535][110143] Loss_D: -0.022050 Loss_G: 0.011394 Loss_D_real: -0.021664 Loss_D_fake 0.000386
[1068/5000][395/535][110144] Loss_D: -0.022433 Loss_G: 0.003030 Loss_D_real: -0.010298 Loss_D_fake 0.012134
[1068/5000][400/535][110145] Loss_D: -0.022462 Loss_G: 0.013097 Loss_D_real: -0.026270 Loss_D_fake -0.003809
[1068/5000][405/535][110146] Loss_D: -0.021919 Loss_G: 0.031510 Loss_D_real: -0.035696 Loss_D_fake -0.013777
[1068/5000][410/535][110147] Loss_D: -0.021017 Loss_G: 0.021488 Loss_D_real: -0.030246 Loss_D_fake -0.009229
[1068/5000][415/535][110148] Loss_D: -0.022288 Loss_G: 0.013603 Loss_D_real: -0.014125 Loss_D_fake 0.008162
[1068/5000][420/535][110149] Loss_D: -0.022510 Loss_G: 0.001405 Loss_D_real: -0.005979 Loss_D_fake 0.016531
[1068/5000][425/535][110150] Loss_D: -0.021496 Loss_G: 0.003286 Loss_D_real: -0.011793 Loss_D_fake 0.009703
[1068/5000][430/535][110151] Loss_D: -0.021323 Loss_G: -0.006093 Loss_D_real: -0.001649 Loss_D_fake 0.019673
[1068/5000][435/535][110152] Loss_D: -0.021631 Loss_G: 0.009551 Loss_D_real: -0.024591 Loss_D_fake -0.002961
[1068/5000][440/535][110153] Loss_D: -0.022668 Loss_G: 0.010139 Loss_D_real: -0.028035 Loss_D_fake -0.005368
[1068/5000][445/535][110154] Loss_D: -0.022805 Loss_G: 0.023054 Loss_D_real: -0.019624 Loss_D_fake 0.003181
[1068/5000][450/535][110155] Loss_D: -0.021554 Loss_G: 0.001164 Loss_D_real: -0.010948 Loss_D_fake 0.010606
[1068/5000][455/535][110156] Loss_D: -0.018700 Loss_G: 0.037488 Loss_D_real: -0.030797 Loss_D_fake -0.012097
[1068/5000][460/535][110157] Loss_D: -0.022672 Loss_G: 0.003566 Loss_D_real: -0.007327 Loss_D_fake 0.015345
[1068/5000][465/535][110158] Loss_D: -0.021637 Loss_G: 0.021302 Loss_D_real: -0.021670 Loss_D_fake -0.000033
[1068/5000][470/535][110159] Loss_D: -0.022703 Loss_G: 0.016326 Loss_D_real: -0.020808 Loss_D_fake 0.001896
[1068/5000][475/535][110160] Loss_D: -0.022365 Loss_G: 0.006933 Loss_D_real: -0.029446 Loss_D_fake -0.007082
[1068/5000][480/535][110161] Loss_D: -0.020443 Loss_G: 0.028988 Loss_D_real: -0.034399 Loss_D_fake -0.013956
[1068/5000][485/535][110162] Loss_D: -0.021335 Loss_G: -0.007214 Loss_D_real: -0.015379 Loss_D_fake 0.005956
[1068/5000][490/535][110163] Loss_D: -0.022186 Loss_G: 0.006336 Loss_D_real: -0.019575 Loss_D_fake 0.002611
[1068/5000][495/535][110164] Loss_D: -0.022560 Loss_G: 0.010431 Loss_D_real: -0.012685 Loss_D_fake 0.009874
[1068/5000][500/535][110165] Loss_D: -0.021525 Loss_G: -0.013909 Loss_D_real: 0.000167 Loss_D_fake 0.021692
[1068/5000][505/535][110166] Loss_D: -0.021649 Loss_G: 0.014364 Loss_D_real: -0.023889 Loss_D_fake -0.002240
[1068/5000][510/535][110167] Loss_D: -0.023319 Loss_G: 0.012695 Loss_D_real: -0.019695 Loss_D_fake 0.003624
[1068/5000][515/535][110168] Loss_D: -0.022509 Loss_G: 0.007313 Loss_D_real: -0.013914 Loss_D_fake 0.008594
[1068/5000][520/535][110169] Loss_D: -0.022143 Loss_G: -0.000110 Loss_D_real: -0.007213 Loss_D_fake 0.014930
[1068/5000][525/535][110170] Loss_D: -0.023077 Loss_G: 0.001896 Loss_D_real: -0.015849 Loss_D_fake 0.007227
[1068/5000][530/535][110171] Loss_D: -0.022750 Loss_G: 0.019702 Loss_D_real: -0.027097 Loss_D_fake -0.004346
[1068/5000][535/535][110172] Loss_D: -0.024741 Loss_G: 0.014227 Loss_D_real: -0.030615 Loss_D_fake -0.005874
[1069/5000][5/535][110173] Loss_D: -0.020822 Loss_G: 0.027886 Loss_D_real: -0.036337 Loss_D_fake -0.015516
[1069/5000][10/535][110174] Loss_D: -0.021997 Loss_G: -0.012899 Loss_D_real: -0.005637 Loss_D_fake 0.016360
[1069/5000][15/535][110175] Loss_D: -0.021288 Loss_G: 0.026416 Loss_D_real: -0.028181 Loss_D_fake -0.006893
[1069/5000][20/535][110176] Loss_D: -0.021897 Loss_G: 0.025356 Loss_D_real: -0.031742 Loss_D_fake -0.009844
[1069/5000][25/535][110177] Loss_D: -0.023099 Loss_G: 0.022431 Loss_D_real: -0.019546 Loss_D_fake 0.003553
[1069/5000][30/535][110178] Loss_D: -0.023700 Loss_G: 0.011621 Loss_D_real: -0.021694 Loss_D_fake 0.002006
[1069/5000][35/535][110179] Loss_D: -0.021848 Loss_G: 0.020255 Loss_D_real: -0.031407 Loss_D_fake -0.009559
[1069/5000][40/535][110180] Loss_D: -0.021524 Loss_G: -0.009177 Loss_D_real: 0.000201 Loss_D_fake 0.021724
[1069/5000][45/535][110181] Loss_D: -0.022801 Loss_G: 0.010394 Loss_D_real: -0.009673 Loss_D_fake 0.013127
[1069/5000][50/535][110182] Loss_D: -0.021675 Loss_G: -0.004285 Loss_D_real: -0.014240 Loss_D_fake 0.007435
[1069/5000][55/535][110183] Loss_D: -0.021902 Loss_G: 0.007953 Loss_D_real: -0.020683 Loss_D_fake 0.001219
[1069/5000][60/535][110184] Loss_D: -0.023114 Loss_G: -0.007027 Loss_D_real: -0.010110 Loss_D_fake 0.013004
[1069/5000][65/535][110185] Loss_D: -0.022033 Loss_G: 0.004089 Loss_D_real: -0.013847 Loss_D_fake 0.008186
[1069/5000][70/535][110186] Loss_D: -0.021885 Loss_G: 0.016390 Loss_D_real: -0.014849 Loss_D_fake 0.007036
[1069/5000][75/535][110187] Loss_D: -0.023695 Loss_G: 0.007176 Loss_D_real: -0.014831 Loss_D_fake 0.008864
[1069/5000][80/535][110188] Loss_D: -0.021876 Loss_G: 0.010269 Loss_D_real: -0.022852 Loss_D_fake -0.000976
[1069/5000][85/535][110189] Loss_D: -0.021771 Loss_G: -0.002668 Loss_D_real: -0.009550 Loss_D_fake 0.012220
[1069/5000][90/535][110190] Loss_D: -0.020939 Loss_G: 0.002489 Loss_D_real: -0.005963 Loss_D_fake 0.014976
[1069/5000][95/535][110191] Loss_D: -0.021744 Loss_G: 0.006550 Loss_D_real: -0.005664 Loss_D_fake 0.016080
[1069/5000][100/535][110192] Loss_D: -0.021714 Loss_G: -0.018828 Loss_D_real: -0.006217 Loss_D_fake 0.015497
[1069/5000][105/535][110193] Loss_D: -0.021542 Loss_G: 0.019495 Loss_D_real: -0.019449 Loss_D_fake 0.002093
[1069/5000][110/535][110194] Loss_D: -0.022212 Loss_G: 0.005654 Loss_D_real: -0.002831 Loss_D_fake 0.019381
[1069/5000][115/535][110195] Loss_D: -0.020893 Loss_G: 0.009589 Loss_D_real: -0.030102 Loss_D_fake -0.009208
[1069/5000][120/535][110196] Loss_D: -0.020440 Loss_G: 0.023429 Loss_D_real: -0.031921 Loss_D_fake -0.011481
[1069/5000][125/535][110197] Loss_D: -0.021422 Loss_G: -0.001778 Loss_D_real: -0.013341 Loss_D_fake 0.008081
[1069/5000][130/535][110198] Loss_D: -0.020442 Loss_G: 0.011340 Loss_D_real: -0.017969 Loss_D_fake 0.002473
[1069/5000][135/535][110199] Loss_D: -0.021135 Loss_G: 0.025276 Loss_D_real: -0.034978 Loss_D_fake -0.013843
[1069/5000][140/535][110200] Loss_D: -0.022438 Loss_G: -0.002450 Loss_D_real: -0.023156 Loss_D_fake -0.000719
[1069/5000][145/535][110201] Loss_D: -0.022933 Loss_G: 0.014146 Loss_D_real: -0.019303 Loss_D_fake 0.003630
[1069/5000][150/535][110202] Loss_D: -0.021753 Loss_G: -0.001480 Loss_D_real: -0.007376 Loss_D_fake 0.014377
[1069/5000][155/535][110203] Loss_D: -0.022303 Loss_G: 0.004004 Loss_D_real: -0.014830 Loss_D_fake 0.007473
[1069/5000][160/535][110204] Loss_D: -0.021069 Loss_G: 0.000616 Loss_D_real: 0.002361 Loss_D_fake 0.023430
[1069/5000][165/535][110205] Loss_D: -0.020908 Loss_G: 0.001234 Loss_D_real: -0.013423 Loss_D_fake 0.007485
[1069/5000][170/535][110206] Loss_D: -0.021796 Loss_G: 0.011199 Loss_D_real: -0.014028 Loss_D_fake 0.007768
[1069/5000][175/535][110207] Loss_D: -0.021275 Loss_G: -0.011563 Loss_D_real: -0.007130 Loss_D_fake 0.014146
[1069/5000][180/535][110208] Loss_D: -0.022372 Loss_G: -0.007663 Loss_D_real: -0.008536 Loss_D_fake 0.013836
[1069/5000][185/535][110209] Loss_D: -0.023364 Loss_G: 0.018419 Loss_D_real: -0.011823 Loss_D_fake 0.011542
[1069/5000][190/535][110210] Loss_D: -0.023630 Loss_G: -0.002061 Loss_D_real: -0.013482 Loss_D_fake 0.010148
[1069/5000][195/535][110211] Loss_D: -0.021649 Loss_G: 0.003945 Loss_D_real: -0.005473 Loss_D_fake 0.016176
[1069/5000][200/535][110212] Loss_D: -0.023267 Loss_G: 0.022863 Loss_D_real: -0.022586 Loss_D_fake 0.000681
[1069/5000][205/535][110213] Loss_D: -0.021886 Loss_G: 0.002500 Loss_D_real: -0.010882 Loss_D_fake 0.011004
[1069/5000][210/535][110214] Loss_D: -0.022677 Loss_G: 0.003079 Loss_D_real: -0.016060 Loss_D_fake 0.006617
[1069/5000][215/535][110215] Loss_D: -0.023150 Loss_G: 0.011368 Loss_D_real: -0.034107 Loss_D_fake -0.010957
[1069/5000][220/535][110216] Loss_D: -0.021532 Loss_G: -0.017388 Loss_D_real: 0.013646 Loss_D_fake 0.035178
[1069/5000][225/535][110217] Loss_D: -0.021659 Loss_G: 0.014089 Loss_D_real: -0.018289 Loss_D_fake 0.003370
[1069/5000][230/535][110218] Loss_D: -0.021856 Loss_G: -0.000902 Loss_D_real: -0.011417 Loss_D_fake 0.010439
[1069/5000][235/535][110219] Loss_D: -0.021610 Loss_G: 0.008170 Loss_D_real: -0.023220 Loss_D_fake -0.001610
[1069/5000][240/535][110220] Loss_D: -0.023020 Loss_G: -0.006728 Loss_D_real: -0.003012 Loss_D_fake 0.020008
[1069/5000][245/535][110221] Loss_D: -0.022438 Loss_G: 0.015337 Loss_D_real: -0.025143 Loss_D_fake -0.002705
[1069/5000][250/535][110222] Loss_D: -0.022081 Loss_G: 0.012440 Loss_D_real: -0.006145 Loss_D_fake 0.015937
[1069/5000][255/535][110223] Loss_D: -0.022560 Loss_G: 0.005756 Loss_D_real: -0.019218 Loss_D_fake 0.003342
[1069/5000][260/535][110224] Loss_D: -0.024384 Loss_G: 0.002174 Loss_D_real: -0.026154 Loss_D_fake -0.001770
[1069/5000][265/535][110225] Loss_D: -0.024043 Loss_G: 0.010090 Loss_D_real: -0.012315 Loss_D_fake 0.011729
[1069/5000][270/535][110226] Loss_D: -0.020645 Loss_G: 0.015029 Loss_D_real: -0.033966 Loss_D_fake -0.013320
[1069/5000][275/535][110227] Loss_D: -0.022759 Loss_G: -0.007202 Loss_D_real: -0.021090 Loss_D_fake 0.001668
[1069/5000][280/535][110228] Loss_D: -0.019732 Loss_G: 0.030745 Loss_D_real: -0.033626 Loss_D_fake -0.013894
[1069/5000][285/535][110229] Loss_D: -0.022366 Loss_G: 0.007822 Loss_D_real: -0.009041 Loss_D_fake 0.013325
[1069/5000][290/535][110230] Loss_D: -0.020861 Loss_G: 0.020006 Loss_D_real: -0.031455 Loss_D_fake -0.010594
[1069/5000][295/535][110231] Loss_D: -0.022045 Loss_G: 0.026859 Loss_D_real: -0.026024 Loss_D_fake -0.003979
[1069/5000][300/535][110232] Loss_D: -0.021202 Loss_G: 0.000547 Loss_D_real: -0.000554 Loss_D_fake 0.020648
[1069/5000][305/535][110233] Loss_D: -0.021809 Loss_G: 0.015645 Loss_D_real: -0.023703 Loss_D_fake -0.001894
[1069/5000][310/535][110234] Loss_D: -0.022157 Loss_G: 0.008423 Loss_D_real: -0.013447 Loss_D_fake 0.008710
[1069/5000][315/535][110235] Loss_D: -0.023033 Loss_G: 0.018269 Loss_D_real: -0.031040 Loss_D_fake -0.008007
[1069/5000][320/535][110236] Loss_D: -0.022146 Loss_G: 0.020749 Loss_D_real: -0.027397 Loss_D_fake -0.005250
[1069/5000][325/535][110237] Loss_D: -0.021078 Loss_G: 0.022438 Loss_D_real: -0.026528 Loss_D_fake -0.005450
[1069/5000][330/535][110238] Loss_D: -0.021889 Loss_G: 0.007857 Loss_D_real: -0.003779 Loss_D_fake 0.018110
[1069/5000][335/535][110239] Loss_D: -0.022516 Loss_G: -0.009194 Loss_D_real: -0.008817 Loss_D_fake 0.013698
[1069/5000][340/535][110240] Loss_D: -0.021565 Loss_G: -0.012370 Loss_D_real: -0.004366 Loss_D_fake 0.017200
[1069/5000][345/535][110241] Loss_D: -0.023080 Loss_G: 0.003366 Loss_D_real: -0.023882 Loss_D_fake -0.000801
[1069/5000][350/535][110242] Loss_D: -0.022050 Loss_G: 0.005698 Loss_D_real: -0.017687 Loss_D_fake 0.004362
[1069/5000][355/535][110243] Loss_D: -0.021644 Loss_G: 0.012199 Loss_D_real: -0.031913 Loss_D_fake -0.010269
[1069/5000][360/535][110244] Loss_D: -0.023293 Loss_G: 0.019887 Loss_D_real: -0.020703 Loss_D_fake 0.002590
[1069/5000][365/535][110245] Loss_D: -0.024464 Loss_G: 0.015960 Loss_D_real: -0.029531 Loss_D_fake -0.005066
[1069/5000][370/535][110246] Loss_D: -0.023555 Loss_G: 0.007491 Loss_D_real: -0.021590 Loss_D_fake 0.001965
[1069/5000][375/535][110247] Loss_D: -0.020452 Loss_G: 0.031168 Loss_D_real: -0.041572 Loss_D_fake -0.021120
[1069/5000][380/535][110248] Loss_D: -0.023251 Loss_G: 0.014293 Loss_D_real: -0.013940 Loss_D_fake 0.009311
[1069/5000][385/535][110249] Loss_D: -0.022274 Loss_G: 0.015612 Loss_D_real: -0.031469 Loss_D_fake -0.009195
[1069/5000][390/535][110250] Loss_D: -0.022865 Loss_G: 0.001184 Loss_D_real: -0.009419 Loss_D_fake 0.013446
[1069/5000][395/535][110251] Loss_D: -0.021699 Loss_G: 0.028557 Loss_D_real: -0.028859 Loss_D_fake -0.007161
[1069/5000][400/535][110252] Loss_D: -0.020072 Loss_G: 0.019041 Loss_D_real: -0.029455 Loss_D_fake -0.009383
[1069/5000][405/535][110253] Loss_D: -0.021360 Loss_G: 0.020129 Loss_D_real: -0.037820 Loss_D_fake -0.016460
[1069/5000][410/535][110254] Loss_D: -0.022951 Loss_G: 0.000990 Loss_D_real: -0.014846 Loss_D_fake 0.008105
[1069/5000][415/535][110255] Loss_D: -0.023367 Loss_G: 0.018668 Loss_D_real: -0.028088 Loss_D_fake -0.004721
[1069/5000][420/535][110256] Loss_D: -0.021600 Loss_G: 0.016402 Loss_D_real: -0.031175 Loss_D_fake -0.009575
[1069/5000][425/535][110257] Loss_D: -0.023734 Loss_G: 0.014111 Loss_D_real: -0.008088 Loss_D_fake 0.015646
[1069/5000][430/535][110258] Loss_D: -0.022410 Loss_G: -0.002094 Loss_D_real: -0.018469 Loss_D_fake 0.003942
[1069/5000][435/535][110259] Loss_D: -0.020505 Loss_G: 0.010882 Loss_D_real: -0.024412 Loss_D_fake -0.003907
[1069/5000][440/535][110260] Loss_D: -0.020916 Loss_G: -0.013989 Loss_D_real: -0.001968 Loss_D_fake 0.018948
[1069/5000][445/535][110261] Loss_D: -0.022741 Loss_G: 0.010603 Loss_D_real: -0.041461 Loss_D_fake -0.018720
[1069/5000][450/535][110262] Loss_D: -0.022273 Loss_G: 0.028862 Loss_D_real: -0.021350 Loss_D_fake 0.000923
[1069/5000][455/535][110263] Loss_D: -0.021063 Loss_G: 0.009369 Loss_D_real: -0.022307 Loss_D_fake -0.001244
[1069/5000][460/535][110264] Loss_D: -0.022604 Loss_G: 0.003437 Loss_D_real: -0.021105 Loss_D_fake 0.001499
[1069/5000][465/535][110265] Loss_D: -0.020968 Loss_G: 0.013001 Loss_D_real: -0.029662 Loss_D_fake -0.008694
[1069/5000][470/535][110266] Loss_D: -0.021928 Loss_G: 0.013298 Loss_D_real: -0.020527 Loss_D_fake 0.001401
[1069/5000][475/535][110267] Loss_D: -0.021806 Loss_G: -0.004665 Loss_D_real: 0.003309 Loss_D_fake 0.025115
[1069/5000][480/535][110268] Loss_D: -0.022225 Loss_G: -0.001894 Loss_D_real: -0.014485 Loss_D_fake 0.007740
[1069/5000][485/535][110269] Loss_D: -0.023684 Loss_G: 0.016392 Loss_D_real: -0.020924 Loss_D_fake 0.002760
[1069/5000][490/535][110270] Loss_D: -0.022688 Loss_G: 0.017417 Loss_D_real: -0.013620 Loss_D_fake 0.009068
[1069/5000][495/535][110271] Loss_D: -0.021724 Loss_G: 0.013064 Loss_D_real: -0.022675 Loss_D_fake -0.000952
[1069/5000][500/535][110272] Loss_D: -0.021465 Loss_G: -0.010407 Loss_D_real: -0.001536 Loss_D_fake 0.019929
[1069/5000][505/535][110273] Loss_D: -0.022066 Loss_G: 0.006413 Loss_D_real: -0.017209 Loss_D_fake 0.004858
[1069/5000][510/535][110274] Loss_D: -0.020895 Loss_G: 0.028448 Loss_D_real: -0.027768 Loss_D_fake -0.006873
[1069/5000][515/535][110275] Loss_D: -0.021652 Loss_G: 0.006757 Loss_D_real: -0.017214 Loss_D_fake 0.004438
[1069/5000][520/535][110276] Loss_D: -0.022411 Loss_G: -0.002122 Loss_D_real: -0.011415 Loss_D_fake 0.010997
[1069/5000][525/535][110277] Loss_D: -0.023502 Loss_G: 0.011204 Loss_D_real: -0.024030 Loss_D_fake -0.000528
[1069/5000][530/535][110278] Loss_D: -0.022682 Loss_G: 0.016787 Loss_D_real: -0.003649 Loss_D_fake 0.019033
[1069/5000][535/535][110279] Loss_D: -0.020239 Loss_G: 0.029686 Loss_D_real: -0.022682 Loss_D_fake -0.002443
[1070/5000][5/535][110280] Loss_D: -0.022415 Loss_G: 0.018493 Loss_D_real: -0.021192 Loss_D_fake 0.001223
[1070/5000][10/535][110281] Loss_D: -0.021852 Loss_G: 0.017297 Loss_D_real: -0.028122 Loss_D_fake -0.006271
[1070/5000][15/535][110282] Loss_D: -0.021799 Loss_G: 0.017471 Loss_D_real: -0.020759 Loss_D_fake 0.001040
[1070/5000][20/535][110283] Loss_D: -0.022722 Loss_G: 0.015371 Loss_D_real: -0.018695 Loss_D_fake 0.004027
[1070/5000][25/535][110284] Loss_D: -0.023376 Loss_G: 0.007591 Loss_D_real: -0.023173 Loss_D_fake 0.000203
[1070/5000][30/535][110285] Loss_D: -0.020443 Loss_G: 0.021084 Loss_D_real: -0.033871 Loss_D_fake -0.013428
[1070/5000][35/535][110286] Loss_D: -0.021594 Loss_G: 0.009880 Loss_D_real: -0.021168 Loss_D_fake 0.000426
[1070/5000][40/535][110287] Loss_D: -0.023269 Loss_G: 0.005749 Loss_D_real: -0.017578 Loss_D_fake 0.005691
[1070/5000][45/535][110288] Loss_D: -0.019989 Loss_G: 0.018554 Loss_D_real: -0.032114 Loss_D_fake -0.012125
[1070/5000][50/535][110289] Loss_D: -0.021879 Loss_G: 0.004540 Loss_D_real: -0.018320 Loss_D_fake 0.003559
[1070/5000][55/535][110290] Loss_D: -0.020891 Loss_G: -0.002691 Loss_D_real: -0.019145 Loss_D_fake 0.001746
[1070/5000][60/535][110291] Loss_D: -0.021451 Loss_G: 0.004752 Loss_D_real: -0.015354 Loss_D_fake 0.006098
[1070/5000][65/535][110292] Loss_D: -0.022051 Loss_G: 0.000964 Loss_D_real: -0.012063 Loss_D_fake 0.009988
[1070/5000][70/535][110293] Loss_D: -0.022783 Loss_G: 0.016585 Loss_D_real: -0.035124 Loss_D_fake -0.012341
[1070/5000][75/535][110294] Loss_D: -0.022362 Loss_G: -0.007965 Loss_D_real: -0.017067 Loss_D_fake 0.005295
[1070/5000][80/535][110295] Loss_D: -0.023040 Loss_G: 0.030582 Loss_D_real: -0.025365 Loss_D_fake -0.002325
[1070/5000][85/535][110296] Loss_D: -0.021509 Loss_G: -0.008792 Loss_D_real: -0.010239 Loss_D_fake 0.011270
[1070/5000][90/535][110297] Loss_D: -0.021153 Loss_G: 0.028229 Loss_D_real: -0.025357 Loss_D_fake -0.004204
[1070/5000][95/535][110298] Loss_D: -0.023051 Loss_G: 0.015727 Loss_D_real: -0.016952 Loss_D_fake 0.006099
[1070/5000][100/535][110299] Loss_D: -0.021451 Loss_G: 0.029206 Loss_D_real: -0.028821 Loss_D_fake -0.007370
[1070/5000][105/535][110300] Loss_D: -0.021846 Loss_G: 0.011527 Loss_D_real: -0.020316 Loss_D_fake 0.001530
[1070/5000][110/535][110301] Loss_D: -0.021861 Loss_G: 0.015852 Loss_D_real: -0.020239 Loss_D_fake 0.001622
[1070/5000][115/535][110302] Loss_D: -0.022004 Loss_G: -0.001516 Loss_D_real: -0.014374 Loss_D_fake 0.007630
[1070/5000][120/535][110303] Loss_D: -0.020950 Loss_G: 0.020071 Loss_D_real: -0.034042 Loss_D_fake -0.013091
[1070/5000][125/535][110304] Loss_D: -0.022390 Loss_G: 0.000125 Loss_D_real: -0.016732 Loss_D_fake 0.005658
[1070/5000][130/535][110305] Loss_D: -0.023207 Loss_G: 0.038347 Loss_D_real: -0.034965 Loss_D_fake -0.011758
[1070/5000][135/535][110306] Loss_D: -0.023072 Loss_G: -0.002041 Loss_D_real: -0.027743 Loss_D_fake -0.004671
[1070/5000][140/535][110307] Loss_D: -0.022210 Loss_G: 0.026963 Loss_D_real: -0.038053 Loss_D_fake -0.015843
[1070/5000][145/535][110308] Loss_D: -0.022584 Loss_G: 0.015987 Loss_D_real: -0.030723 Loss_D_fake -0.008139
[1070/5000][150/535][110309] Loss_D: -0.022608 Loss_G: 0.005747 Loss_D_real: -0.017843 Loss_D_fake 0.004765
[1070/5000][155/535][110310] Loss_D: -0.022865 Loss_G: 0.000956 Loss_D_real: -0.023786 Loss_D_fake -0.000921
[1070/5000][160/535][110311] Loss_D: -0.020601 Loss_G: 0.034725 Loss_D_real: -0.031750 Loss_D_fake -0.011149
[1070/5000][165/535][110312] Loss_D: -0.022778 Loss_G: 0.009845 Loss_D_real: -0.027827 Loss_D_fake -0.005048
[1070/5000][170/535][110313] Loss_D: -0.020805 Loss_G: 0.031889 Loss_D_real: -0.037227 Loss_D_fake -0.016422
[1070/5000][175/535][110314] Loss_D: -0.022618 Loss_G: -0.008497 Loss_D_real: -0.007733 Loss_D_fake 0.014885
[1070/5000][180/535][110315] Loss_D: -0.021614 Loss_G: 0.016840 Loss_D_real: -0.025579 Loss_D_fake -0.003965
[1070/5000][185/535][110316] Loss_D: -0.021153 Loss_G: 0.006087 Loss_D_real: -0.022197 Loss_D_fake -0.001044
[1070/5000][190/535][110317] Loss_D: -0.022209 Loss_G: 0.011848 Loss_D_real: -0.013853 Loss_D_fake 0.008356
[1070/5000][195/535][110318] Loss_D: -0.021671 Loss_G: 0.009184 Loss_D_real: -0.023093 Loss_D_fake -0.001422
[1070/5000][200/535][110319] Loss_D: -0.020228 Loss_G: 0.020648 Loss_D_real: -0.017790 Loss_D_fake 0.002438
[1070/5000][205/535][110320] Loss_D: -0.021172 Loss_G: 0.013176 Loss_D_real: -0.029357 Loss_D_fake -0.008185
[1070/5000][210/535][110321] Loss_D: -0.022243 Loss_G: -0.000858 Loss_D_real: 0.000795 Loss_D_fake 0.023038
[1070/5000][215/535][110322] Loss_D: -0.022076 Loss_G: 0.002398 Loss_D_real: -0.013157 Loss_D_fake 0.008919
[1070/5000][220/535][110323] Loss_D: -0.022953 Loss_G: 0.016194 Loss_D_real: -0.025898 Loss_D_fake -0.002945
[1070/5000][225/535][110324] Loss_D: -0.022650 Loss_G: 0.010147 Loss_D_real: -0.026161 Loss_D_fake -0.003511
[1070/5000][230/535][110325] Loss_D: -0.022057 Loss_G: 0.020478 Loss_D_real: -0.033723 Loss_D_fake -0.011666
[1070/5000][235/535][110326] Loss_D: -0.022391 Loss_G: 0.023434 Loss_D_real: -0.026596 Loss_D_fake -0.004205
[1070/5000][240/535][110327] Loss_D: -0.022619 Loss_G: -0.002659 Loss_D_real: -0.015283 Loss_D_fake 0.007336
[1070/5000][245/535][110328] Loss_D: -0.022836 Loss_G: 0.005076 Loss_D_real: -0.010196 Loss_D_fake 0.012639
[1070/5000][250/535][110329] Loss_D: -0.022091 Loss_G: -0.019852 Loss_D_real: -0.008269 Loss_D_fake 0.013822
[1070/5000][255/535][110330] Loss_D: -0.022307 Loss_G: -0.009544 Loss_D_real: -0.003705 Loss_D_fake 0.018602
[1070/5000][260/535][110331] Loss_D: -0.022310 Loss_G: -0.013486 Loss_D_real: -0.008305 Loss_D_fake 0.014004
[1070/5000][265/535][110332] Loss_D: -0.022149 Loss_G: 0.023756 Loss_D_real: -0.022142 Loss_D_fake 0.000007
[1070/5000][270/535][110333] Loss_D: -0.021449 Loss_G: 0.000696 Loss_D_real: -0.021136 Loss_D_fake 0.000313
[1070/5000][275/535][110334] Loss_D: -0.022129 Loss_G: 0.026249 Loss_D_real: -0.015873 Loss_D_fake 0.006256
[1070/5000][280/535][110335] Loss_D: -0.022140 Loss_G: -0.001133 Loss_D_real: -0.021983 Loss_D_fake 0.000157
[1070/5000][285/535][110336] Loss_D: -0.021395 Loss_G: 0.001547 Loss_D_real: -0.017554 Loss_D_fake 0.003841
[1070/5000][290/535][110337] Loss_D: -0.020291 Loss_G: -0.012019 Loss_D_real: -0.011017 Loss_D_fake 0.009274
[1070/5000][295/535][110338] Loss_D: -0.022671 Loss_G: 0.013415 Loss_D_real: -0.016856 Loss_D_fake 0.005815
[1070/5000][300/535][110339] Loss_D: -0.021657 Loss_G: 0.011180 Loss_D_real: -0.027953 Loss_D_fake -0.006296
[1070/5000][305/535][110340] Loss_D: -0.020802 Loss_G: 0.006811 Loss_D_real: -0.014541 Loss_D_fake 0.006261
[1070/5000][310/535][110341] Loss_D: -0.021428 Loss_G: 0.014936 Loss_D_real: -0.020308 Loss_D_fake 0.001121
[1070/5000][315/535][110342] Loss_D: -0.023207 Loss_G: 0.000597 Loss_D_real: -0.010767 Loss_D_fake 0.012440
[1070/5000][320/535][110343] Loss_D: -0.022885 Loss_G: -0.002451 Loss_D_real: -0.005432 Loss_D_fake 0.017453
[1070/5000][325/535][110344] Loss_D: -0.022332 Loss_G: 0.018685 Loss_D_real: -0.010046 Loss_D_fake 0.012286
[1070/5000][330/535][110345] Loss_D: -0.022378 Loss_G: -0.012820 Loss_D_real: -0.005262 Loss_D_fake 0.017116
[1070/5000][335/535][110346] Loss_D: -0.023019 Loss_G: 0.004089 Loss_D_real: -0.028173 Loss_D_fake -0.005154
[1070/5000][340/535][110347] Loss_D: -0.022803 Loss_G: 0.020213 Loss_D_real: -0.022807 Loss_D_fake -0.000004
[1070/5000][345/535][110348] Loss_D: -0.022293 Loss_G: 0.000702 Loss_D_real: -0.005988 Loss_D_fake 0.016305
[1070/5000][350/535][110349] Loss_D: -0.022854 Loss_G: 0.014525 Loss_D_real: -0.018823 Loss_D_fake 0.004031
[1070/5000][355/535][110350] Loss_D: -0.023940 Loss_G: 0.015320 Loss_D_real: -0.018033 Loss_D_fake 0.005907
[1070/5000][360/535][110351] Loss_D: -0.022642 Loss_G: 0.016853 Loss_D_real: -0.030312 Loss_D_fake -0.007670
[1070/5000][365/535][110352] Loss_D: -0.021407 Loss_G: 0.011994 Loss_D_real: -0.012976 Loss_D_fake 0.008431
[1070/5000][370/535][110353] Loss_D: -0.020878 Loss_G: -0.021708 Loss_D_real: -0.004412 Loss_D_fake 0.016466
[1070/5000][375/535][110354] Loss_D: -0.023046 Loss_G: 0.019607 Loss_D_real: -0.032797 Loss_D_fake -0.009751
[1070/5000][380/535][110355] Loss_D: -0.021306 Loss_G: -0.008051 Loss_D_real: -0.012801 Loss_D_fake 0.008505
[1070/5000][385/535][110356] Loss_D: -0.021860 Loss_G: 0.001896 Loss_D_real: -0.013448 Loss_D_fake 0.008413
[1070/5000][390/535][110357] Loss_D: -0.022357 Loss_G: 0.004173 Loss_D_real: -0.004318 Loss_D_fake 0.018039
[1070/5000][395/535][110358] Loss_D: -0.021207 Loss_G: 0.012342 Loss_D_real: -0.026146 Loss_D_fake -0.004939
[1070/5000][400/535][110359] Loss_D: -0.022306 Loss_G: 0.013157 Loss_D_real: -0.019675 Loss_D_fake 0.002631
[1070/5000][405/535][110360] Loss_D: -0.022444 Loss_G: 0.006020 Loss_D_real: -0.022648 Loss_D_fake -0.000204
[1070/5000][410/535][110361] Loss_D: -0.022346 Loss_G: 0.008426 Loss_D_real: -0.025350 Loss_D_fake -0.003004
[1070/5000][415/535][110362] Loss_D: -0.022087 Loss_G: -0.001553 Loss_D_real: -0.005357 Loss_D_fake 0.016731
[1070/5000][420/535][110363] Loss_D: -0.022876 Loss_G: 0.010387 Loss_D_real: -0.025306 Loss_D_fake -0.002430
[1070/5000][425/535][110364] Loss_D: -0.021614 Loss_G: 0.010377 Loss_D_real: -0.028425 Loss_D_fake -0.006812
[1070/5000][430/535][110365] Loss_D: -0.022043 Loss_G: 0.019909 Loss_D_real: -0.023647 Loss_D_fake -0.001604
[1070/5000][435/535][110366] Loss_D: -0.019849 Loss_G: -0.020157 Loss_D_real: -0.004745 Loss_D_fake 0.015104
[1070/5000][440/535][110367] Loss_D: -0.021299 Loss_G: 0.026828 Loss_D_real: -0.019164 Loss_D_fake 0.002136
[1070/5000][445/535][110368] Loss_D: -0.022424 Loss_G: 0.009607 Loss_D_real: -0.015768 Loss_D_fake 0.006656
[1070/5000][450/535][110369] Loss_D: -0.022396 Loss_G: 0.007017 Loss_D_real: -0.008733 Loss_D_fake 0.013664
[1070/5000][455/535][110370] Loss_D: -0.021611 Loss_G: 0.006129 Loss_D_real: -0.015351 Loss_D_fake 0.006261
[1070/5000][460/535][110371] Loss_D: -0.020577 Loss_G: 0.019697 Loss_D_real: -0.022607 Loss_D_fake -0.002030
[1070/5000][465/535][110372] Loss_D: -0.021846 Loss_G: -0.003363 Loss_D_real: -0.013032 Loss_D_fake 0.008814
[1070/5000][470/535][110373] Loss_D: -0.021092 Loss_G: -0.006994 Loss_D_real: -0.001540 Loss_D_fake 0.019552
[1070/5000][475/535][110374] Loss_D: -0.021612 Loss_G: 0.006079 Loss_D_real: -0.021855 Loss_D_fake -0.000243
[1070/5000][480/535][110375] Loss_D: -0.022441 Loss_G: 0.015513 Loss_D_real: -0.018846 Loss_D_fake 0.003595
[1070/5000][485/535][110376] Loss_D: -0.022249 Loss_G: 0.016864 Loss_D_real: -0.025539 Loss_D_fake -0.003291
[1070/5000][490/535][110377] Loss_D: -0.022107 Loss_G: 0.023792 Loss_D_real: -0.029928 Loss_D_fake -0.007821
[1070/5000][495/535][110378] Loss_D: -0.021075 Loss_G: -0.001613 Loss_D_real: -0.004065 Loss_D_fake 0.017010
[1070/5000][500/535][110379] Loss_D: -0.021382 Loss_G: 0.012291 Loss_D_real: -0.027922 Loss_D_fake -0.006540
[1070/5000][505/535][110380] Loss_D: -0.021464 Loss_G: 0.010626 Loss_D_real: -0.035861 Loss_D_fake -0.014397
[1070/5000][510/535][110381] Loss_D: -0.023041 Loss_G: -0.011379 Loss_D_real: -0.016673 Loss_D_fake 0.006368
[1070/5000][515/535][110382] Loss_D: -0.022783 Loss_G: 0.013753 Loss_D_real: -0.021109 Loss_D_fake 0.001674
[1070/5000][520/535][110383] Loss_D: -0.022503 Loss_G: -0.007051 Loss_D_real: -0.010681 Loss_D_fake 0.011823
[1070/5000][525/535][110384] Loss_D: -0.022828 Loss_G: -0.005114 Loss_D_real: -0.006002 Loss_D_fake 0.016826
[1070/5000][530/535][110385] Loss_D: -0.022137 Loss_G: 0.008181 Loss_D_real: -0.008636 Loss_D_fake 0.013501
[1070/5000][535/535][110386] Loss_D: -0.021728 Loss_G: 0.029004 Loss_D_real: -0.021597 Loss_D_fake 0.000130
[1071/5000][5/535][110387] Loss_D: -0.023538 Loss_G: 0.003336 Loss_D_real: -0.016004 Loss_D_fake 0.007534
[1071/5000][10/535][110388] Loss_D: -0.020451 Loss_G: -0.007661 Loss_D_real: -0.016944 Loss_D_fake 0.003507
[1071/5000][15/535][110389] Loss_D: -0.021200 Loss_G: 0.001346 Loss_D_real: -0.017940 Loss_D_fake 0.003261
[1071/5000][20/535][110390] Loss_D: -0.021652 Loss_G: 0.005074 Loss_D_real: -0.019108 Loss_D_fake 0.002543
[1071/5000][25/535][110391] Loss_D: -0.020959 Loss_G: 0.025877 Loss_D_real: -0.029257 Loss_D_fake -0.008297
[1071/5000][30/535][110392] Loss_D: -0.022792 Loss_G: -0.003066 Loss_D_real: -0.010361 Loss_D_fake 0.012431
[1071/5000][35/535][110393] Loss_D: -0.022225 Loss_G: -0.002503 Loss_D_real: -0.010644 Loss_D_fake 0.011581
[1071/5000][40/535][110394] Loss_D: -0.020924 Loss_G: 0.016903 Loss_D_real: -0.035507 Loss_D_fake -0.014582
[1071/5000][45/535][110395] Loss_D: -0.023155 Loss_G: -0.006881 Loss_D_real: -0.016456 Loss_D_fake 0.006699
[1071/5000][50/535][110396] Loss_D: -0.022363 Loss_G: 0.007097 Loss_D_real: -0.029891 Loss_D_fake -0.007528
[1071/5000][55/535][110397] Loss_D: -0.022469 Loss_G: 0.025025 Loss_D_real: -0.018822 Loss_D_fake 0.003647
[1071/5000][60/535][110398] Loss_D: -0.021444 Loss_G: 0.017992 Loss_D_real: -0.016032 Loss_D_fake 0.005412
[1071/5000][65/535][110399] Loss_D: -0.021173 Loss_G: 0.013117 Loss_D_real: -0.022447 Loss_D_fake -0.001274
[1071/5000][70/535][110400] Loss_D: -0.019818 Loss_G: 0.027429 Loss_D_real: -0.041561 Loss_D_fake -0.021743
[1071/5000][75/535][110401] Loss_D: -0.021808 Loss_G: 0.005712 Loss_D_real: -0.004299 Loss_D_fake 0.017509
[1071/5000][80/535][110402] Loss_D: -0.021130 Loss_G: 0.003968 Loss_D_real: -0.004417 Loss_D_fake 0.016713
[1071/5000][85/535][110403] Loss_D: -0.022370 Loss_G: 0.018313 Loss_D_real: -0.021106 Loss_D_fake 0.001264
[1071/5000][90/535][110404] Loss_D: -0.023518 Loss_G: 0.010950 Loss_D_real: -0.023688 Loss_D_fake -0.000170
[1071/5000][95/535][110405] Loss_D: -0.021406 Loss_G: 0.022487 Loss_D_real: -0.032957 Loss_D_fake -0.011552
[1071/5000][100/535][110406] Loss_D: -0.022161 Loss_G: -0.001442 Loss_D_real: -0.004570 Loss_D_fake 0.017592
[1071/5000][105/535][110407] Loss_D: -0.021513 Loss_G: 0.021436 Loss_D_real: -0.031133 Loss_D_fake -0.009620
[1071/5000][110/535][110408] Loss_D: -0.022077 Loss_G: -0.005042 Loss_D_real: -0.011323 Loss_D_fake 0.010753
[1071/5000][115/535][110409] Loss_D: -0.021444 Loss_G: 0.003523 Loss_D_real: -0.016204 Loss_D_fake 0.005240
[1071/5000][120/535][110410] Loss_D: -0.023234 Loss_G: 0.026995 Loss_D_real: -0.028046 Loss_D_fake -0.004811
[1071/5000][125/535][110411] Loss_D: -0.022130 Loss_G: 0.013112 Loss_D_real: -0.017651 Loss_D_fake 0.004479
[1071/5000][130/535][110412] Loss_D: -0.023195 Loss_G: 0.022209 Loss_D_real: -0.026714 Loss_D_fake -0.003520
[1071/5000][135/535][110413] Loss_D: -0.021286 Loss_G: 0.006747 Loss_D_real: -0.022908 Loss_D_fake -0.001622
[1071/5000][140/535][110414] Loss_D: -0.020581 Loss_G: 0.019077 Loss_D_real: -0.036137 Loss_D_fake -0.015556
[1071/5000][145/535][110415] Loss_D: -0.021212 Loss_G: 0.003719 Loss_D_real: -0.010829 Loss_D_fake 0.010383
[1071/5000][150/535][110416] Loss_D: -0.023251 Loss_G: 0.005692 Loss_D_real: -0.022714 Loss_D_fake 0.000538
[1071/5000][155/535][110417] Loss_D: -0.023241 Loss_G: 0.023643 Loss_D_real: -0.030926 Loss_D_fake -0.007685
[1071/5000][160/535][110418] Loss_D: -0.023089 Loss_G: -0.001541 Loss_D_real: -0.005437 Loss_D_fake 0.017652
[1071/5000][165/535][110419] Loss_D: -0.023177 Loss_G: 0.012016 Loss_D_real: -0.024929 Loss_D_fake -0.001752
[1071/5000][170/535][110420] Loss_D: -0.021635 Loss_G: -0.005178 Loss_D_real: 0.010341 Loss_D_fake 0.031976
[1071/5000][175/535][110421] Loss_D: -0.022679 Loss_G: 0.008495 Loss_D_real: -0.007077 Loss_D_fake 0.015603
[1071/5000][180/535][110422] Loss_D: -0.023631 Loss_G: 0.023195 Loss_D_real: -0.026366 Loss_D_fake -0.002735
[1071/5000][185/535][110423] Loss_D: -0.022490 Loss_G: 0.011630 Loss_D_real: -0.021428 Loss_D_fake 0.001061
[1071/5000][190/535][110424] Loss_D: -0.022084 Loss_G: -0.007801 Loss_D_real: -0.017385 Loss_D_fake 0.004699
[1071/5000][195/535][110425] Loss_D: -0.022058 Loss_G: 0.012786 Loss_D_real: -0.025095 Loss_D_fake -0.003037
[1071/5000][200/535][110426] Loss_D: -0.022286 Loss_G: 0.015539 Loss_D_real: -0.033399 Loss_D_fake -0.011113
[1071/5000][205/535][110427] Loss_D: -0.021870 Loss_G: 0.010438 Loss_D_real: -0.016067 Loss_D_fake 0.005803
[1071/5000][210/535][110428] Loss_D: -0.021495 Loss_G: -0.010729 Loss_D_real: -0.002725 Loss_D_fake 0.018770
[1071/5000][215/535][110429] Loss_D: -0.020317 Loss_G: -0.006226 Loss_D_real: -0.008453 Loss_D_fake 0.011864
[1071/5000][220/535][110430] Loss_D: -0.021282 Loss_G: 0.008832 Loss_D_real: -0.013080 Loss_D_fake 0.008202
[1071/5000][225/535][110431] Loss_D: -0.022594 Loss_G: -0.001699 Loss_D_real: -0.013958 Loss_D_fake 0.008636
[1071/5000][230/535][110432] Loss_D: -0.022686 Loss_G: 0.024481 Loss_D_real: -0.027633 Loss_D_fake -0.004947
[1071/5000][235/535][110433] Loss_D: -0.022955 Loss_G: -0.003748 Loss_D_real: -0.011388 Loss_D_fake 0.011566
[1071/5000][240/535][110434] Loss_D: -0.022339 Loss_G: 0.025943 Loss_D_real: -0.031602 Loss_D_fake -0.009262
[1071/5000][245/535][110435] Loss_D: -0.019946 Loss_G: 0.028685 Loss_D_real: -0.033321 Loss_D_fake -0.013375
[1071/5000][250/535][110436] Loss_D: -0.022319 Loss_G: 0.016584 Loss_D_real: -0.020960 Loss_D_fake 0.001360
[1071/5000][255/535][110437] Loss_D: -0.022899 Loss_G: -0.001013 Loss_D_real: -0.012027 Loss_D_fake 0.010872
[1071/5000][260/535][110438] Loss_D: -0.021854 Loss_G: 0.009374 Loss_D_real: -0.031498 Loss_D_fake -0.009644
[1071/5000][265/535][110439] Loss_D: -0.022848 Loss_G: 0.002133 Loss_D_real: -0.003125 Loss_D_fake 0.019723
[1071/5000][270/535][110440] Loss_D: -0.021529 Loss_G: -0.003225 Loss_D_real: -0.014506 Loss_D_fake 0.007023
[1071/5000][275/535][110441] Loss_D: -0.021379 Loss_G: 0.014257 Loss_D_real: -0.027578 Loss_D_fake -0.006199
[1071/5000][280/535][110442] Loss_D: -0.023745 Loss_G: 0.013139 Loss_D_real: -0.021435 Loss_D_fake 0.002309
[1071/5000][285/535][110443] Loss_D: -0.023121 Loss_G: 0.013260 Loss_D_real: -0.025000 Loss_D_fake -0.001879
[1071/5000][290/535][110444] Loss_D: -0.022386 Loss_G: -0.003154 Loss_D_real: -0.007663 Loss_D_fake 0.014722
[1071/5000][295/535][110445] Loss_D: -0.022000 Loss_G: 0.004604 Loss_D_real: -0.012341 Loss_D_fake 0.009659
[1071/5000][300/535][110446] Loss_D: -0.020849 Loss_G: 0.015214 Loss_D_real: -0.028750 Loss_D_fake -0.007901
[1071/5000][305/535][110447] Loss_D: -0.022034 Loss_G: 0.020696 Loss_D_real: -0.024070 Loss_D_fake -0.002036
[1071/5000][310/535][110448] Loss_D: -0.022013 Loss_G: 0.025876 Loss_D_real: -0.022996 Loss_D_fake -0.000983
[1071/5000][315/535][110449] Loss_D: -0.021992 Loss_G: 0.012646 Loss_D_real: -0.016668 Loss_D_fake 0.005324
[1071/5000][320/535][110450] Loss_D: -0.020671 Loss_G: 0.012983 Loss_D_real: -0.029691 Loss_D_fake -0.009020
[1071/5000][325/535][110451] Loss_D: -0.021492 Loss_G: 0.012642 Loss_D_real: -0.029688 Loss_D_fake -0.008196
[1071/5000][330/535][110452] Loss_D: -0.023051 Loss_G: -0.001145 Loss_D_real: -0.012264 Loss_D_fake 0.010787
[1071/5000][335/535][110453] Loss_D: -0.021267 Loss_G: 0.018347 Loss_D_real: -0.024306 Loss_D_fake -0.003039
[1071/5000][340/535][110454] Loss_D: -0.021645 Loss_G: 0.017498 Loss_D_real: -0.031951 Loss_D_fake -0.010306
[1071/5000][345/535][110455] Loss_D: -0.023037 Loss_G: 0.007671 Loss_D_real: -0.005590 Loss_D_fake 0.017447
[1071/5000][350/535][110456] Loss_D: -0.020707 Loss_G: -0.007102 Loss_D_real: -0.005007 Loss_D_fake 0.015700
[1071/5000][355/535][110457] Loss_D: -0.021832 Loss_G: 0.005403 Loss_D_real: -0.019687 Loss_D_fake 0.002145
[1071/5000][360/535][110458] Loss_D: -0.021614 Loss_G: 0.001173 Loss_D_real: -0.023254 Loss_D_fake -0.001640
[1071/5000][365/535][110459] Loss_D: -0.022386 Loss_G: -0.005036 Loss_D_real: -0.007128 Loss_D_fake 0.015258
[1071/5000][370/535][110460] Loss_D: -0.022221 Loss_G: 0.009395 Loss_D_real: -0.017433 Loss_D_fake 0.004788
[1071/5000][375/535][110461] Loss_D: -0.022435 Loss_G: 0.005304 Loss_D_real: -0.016960 Loss_D_fake 0.005475
[1071/5000][380/535][110462] Loss_D: -0.022637 Loss_G: 0.020976 Loss_D_real: -0.024365 Loss_D_fake -0.001728
[1071/5000][385/535][110463] Loss_D: -0.021409 Loss_G: -0.012908 Loss_D_real: -0.003497 Loss_D_fake 0.017911
[1071/5000][390/535][110464] Loss_D: -0.022016 Loss_G: 0.014814 Loss_D_real: -0.016943 Loss_D_fake 0.005073
[1071/5000][395/535][110465] Loss_D: -0.022050 Loss_G: -0.015042 Loss_D_real: -0.011095 Loss_D_fake 0.010954
[1071/5000][400/535][110466] Loss_D: -0.023310 Loss_G: -0.000098 Loss_D_real: -0.015856 Loss_D_fake 0.007453
[1071/5000][405/535][110467] Loss_D: -0.021553 Loss_G: 0.028152 Loss_D_real: -0.037557 Loss_D_fake -0.016004
[1071/5000][410/535][110468] Loss_D: -0.024077 Loss_G: 0.001865 Loss_D_real: -0.003767 Loss_D_fake 0.020310
[1071/5000][415/535][110469] Loss_D: -0.022759 Loss_G: -0.009736 Loss_D_real: -0.007328 Loss_D_fake 0.015431
[1071/5000][420/535][110470] Loss_D: -0.022237 Loss_G: 0.015496 Loss_D_real: -0.016387 Loss_D_fake 0.005850
[1071/5000][425/535][110471] Loss_D: -0.022220 Loss_G: 0.009202 Loss_D_real: -0.017159 Loss_D_fake 0.005061
[1071/5000][430/535][110472] Loss_D: -0.022493 Loss_G: 0.001235 Loss_D_real: -0.014921 Loss_D_fake 0.007571
[1071/5000][435/535][110473] Loss_D: -0.018797 Loss_G: 0.001864 Loss_D_real: -0.022159 Loss_D_fake -0.003362
[1071/5000][440/535][110474] Loss_D: -0.020844 Loss_G: 0.020137 Loss_D_real: -0.027834 Loss_D_fake -0.006990
[1071/5000][445/535][110475] Loss_D: -0.023930 Loss_G: 0.033583 Loss_D_real: -0.021315 Loss_D_fake 0.002614
[1071/5000][450/535][110476] Loss_D: -0.022670 Loss_G: 0.017067 Loss_D_real: -0.018290 Loss_D_fake 0.004380
[1071/5000][455/535][110477] Loss_D: -0.020896 Loss_G: -0.007151 Loss_D_real: 0.000309 Loss_D_fake 0.021205
[1071/5000][460/535][110478] Loss_D: -0.019191 Loss_G: -0.020226 Loss_D_real: 0.001612 Loss_D_fake 0.020803
[1071/5000][465/535][110479] Loss_D: -0.021706 Loss_G: 0.013445 Loss_D_real: -0.020386 Loss_D_fake 0.001321
[1071/5000][470/535][110480] Loss_D: -0.021729 Loss_G: -0.009580 Loss_D_real: -0.019167 Loss_D_fake 0.002563
[1071/5000][475/535][110481] Loss_D: -0.022552 Loss_G: 0.002052 Loss_D_real: 0.003148 Loss_D_fake 0.025700
[1071/5000][480/535][110482] Loss_D: -0.021251 Loss_G: 0.022174 Loss_D_real: -0.025977 Loss_D_fake -0.004725
[1071/5000][485/535][110483] Loss_D: -0.020875 Loss_G: 0.014550 Loss_D_real: -0.020242 Loss_D_fake 0.000632
[1071/5000][490/535][110484] Loss_D: -0.021246 Loss_G: 0.028404 Loss_D_real: -0.030448 Loss_D_fake -0.009202
[1071/5000][495/535][110485] Loss_D: -0.022553 Loss_G: 0.021447 Loss_D_real: -0.028741 Loss_D_fake -0.006188
[1071/5000][500/535][110486] Loss_D: -0.022254 Loss_G: 0.010602 Loss_D_real: -0.019863 Loss_D_fake 0.002391
[1071/5000][505/535][110487] Loss_D: -0.023819 Loss_G: 0.023813 Loss_D_real: -0.025021 Loss_D_fake -0.001202
[1071/5000][510/535][110488] Loss_D: -0.021301 Loss_G: -0.006749 Loss_D_real: -0.012999 Loss_D_fake 0.008303
[1071/5000][515/535][110489] Loss_D: -0.022052 Loss_G: 0.002544 Loss_D_real: -0.008431 Loss_D_fake 0.013622
[1071/5000][520/535][110490] Loss_D: -0.022791 Loss_G: 0.011673 Loss_D_real: -0.023997 Loss_D_fake -0.001206
[1071/5000][525/535][110491] Loss_D: -0.022246 Loss_G: 0.014754 Loss_D_real: -0.021913 Loss_D_fake 0.000333
[1071/5000][530/535][110492] Loss_D: -0.022214 Loss_G: -0.005077 Loss_D_real: -0.010771 Loss_D_fake 0.011444
[1071/5000][535/535][110493] Loss_D: -0.023658 Loss_G: 0.015876 Loss_D_real: -0.006542 Loss_D_fake 0.017117
[1072/5000][5/535][110494] Loss_D: -0.022832 Loss_G: 0.003263 Loss_D_real: -0.012831 Loss_D_fake 0.010001
[1072/5000][10/535][110495] Loss_D: -0.023029 Loss_G: 0.020407 Loss_D_real: -0.030707 Loss_D_fake -0.007679
[1072/5000][15/535][110496] Loss_D: -0.021681 Loss_G: 0.002919 Loss_D_real: -0.022254 Loss_D_fake -0.000573
[1072/5000][20/535][110497] Loss_D: -0.022328 Loss_G: -0.009180 Loss_D_real: -0.006268 Loss_D_fake 0.016060
[1072/5000][25/535][110498] Loss_D: -0.021316 Loss_G: 0.009917 Loss_D_real: -0.022203 Loss_D_fake -0.000888
[1072/5000][30/535][110499] Loss_D: -0.022167 Loss_G: 0.020467 Loss_D_real: -0.016236 Loss_D_fake 0.005931
[1072/5000][35/535][110500] Loss_D: -0.022972 Loss_G: 0.015749 Loss_D_real: -0.018675 Loss_D_fake 0.004297
[1072/5000][135/535][110501] Loss_D: -0.023842 Loss_G: 0.023360 Loss_D_real: -0.029821 Loss_D_fake -0.005978
[1072/5000][140/535][110502] Loss_D: -0.021222 Loss_G: 0.008073 Loss_D_real: -0.008178 Loss_D_fake 0.013044
[1072/5000][145/535][110503] Loss_D: -0.019607 Loss_G: 0.017143 Loss_D_real: -0.012663 Loss_D_fake 0.006944
[1072/5000][150/535][110504] Loss_D: -0.021761 Loss_G: 0.001400 Loss_D_real: -0.019509 Loss_D_fake 0.002252
[1072/5000][155/535][110505] Loss_D: -0.021893 Loss_G: 0.012959 Loss_D_real: -0.027291 Loss_D_fake -0.005398
[1072/5000][160/535][110506] Loss_D: -0.020030 Loss_G: 0.008144 Loss_D_real: -0.007598 Loss_D_fake 0.012432
[1072/5000][165/535][110507] Loss_D: -0.019395 Loss_G: 0.021883 Loss_D_real: -0.027608 Loss_D_fake -0.008213
[1072/5000][170/535][110508] Loss_D: -0.020822 Loss_G: 0.005253 Loss_D_real: -0.014591 Loss_D_fake 0.006231
[1072/5000][175/535][110509] Loss_D: -0.022365 Loss_G: 0.003332 Loss_D_real: -0.009461 Loss_D_fake 0.012904
[1072/5000][180/535][110510] Loss_D: -0.024015 Loss_G: 0.014898 Loss_D_real: -0.032529 Loss_D_fake -0.008514
[1072/5000][185/535][110511] Loss_D: -0.021980 Loss_G: 0.026430 Loss_D_real: -0.020201 Loss_D_fake 0.001778
[1072/5000][190/535][110512] Loss_D: -0.021670 Loss_G: 0.001533 Loss_D_real: -0.020793 Loss_D_fake 0.000876
[1072/5000][195/535][110513] Loss_D: -0.021883 Loss_G: -0.006311 Loss_D_real: -0.022218 Loss_D_fake -0.000335
[1072/5000][200/535][110514] Loss_D: -0.021900 Loss_G: 0.002541 Loss_D_real: -0.000079 Loss_D_fake 0.021821
[1072/5000][205/535][110515] Loss_D: -0.022233 Loss_G: 0.011106 Loss_D_real: -0.027687 Loss_D_fake -0.005455
[1072/5000][210/535][110516] Loss_D: -0.021326 Loss_G: 0.011043 Loss_D_real: -0.023559 Loss_D_fake -0.002233
[1072/5000][215/535][110517] Loss_D: -0.021824 Loss_G: 0.020048 Loss_D_real: -0.024971 Loss_D_fake -0.003146
[1072/5000][220/535][110518] Loss_D: -0.021552 Loss_G: 0.000202 Loss_D_real: -0.016911 Loss_D_fake 0.004641
[1072/5000][225/535][110519] Loss_D: -0.021898 Loss_G: -0.002035 Loss_D_real: -0.004509 Loss_D_fake 0.017389
[1072/5000][230/535][110520] Loss_D: -0.020171 Loss_G: 0.006918 Loss_D_real: -0.019846 Loss_D_fake 0.000324
[1072/5000][235/535][110521] Loss_D: -0.021566 Loss_G: 0.008078 Loss_D_real: -0.019657 Loss_D_fake 0.001909
[1072/5000][240/535][110522] Loss_D: -0.020421 Loss_G: 0.009807 Loss_D_real: -0.017532 Loss_D_fake 0.002889
[1072/5000][245/535][110523] Loss_D: -0.022455 Loss_G: 0.026263 Loss_D_real: -0.021507 Loss_D_fake 0.000948
[1072/5000][250/535][110524] Loss_D: -0.022175 Loss_G: 0.015727 Loss_D_real: -0.019101 Loss_D_fake 0.003074
[1072/5000][255/535][110525] Loss_D: -0.021116 Loss_G: 0.012271 Loss_D_real: -0.034671 Loss_D_fake -0.013555
[1072/5000][260/535][110526] Loss_D: -0.022754 Loss_G: 0.016332 Loss_D_real: -0.007092 Loss_D_fake 0.015662
[1072/5000][265/535][110527] Loss_D: -0.021895 Loss_G: 0.004575 Loss_D_real: -0.019533 Loss_D_fake 0.002362
[1072/5000][270/535][110528] Loss_D: -0.020858 Loss_G: -0.008922 Loss_D_real: -0.001491 Loss_D_fake 0.019367
[1072/5000][275/535][110529] Loss_D: -0.022634 Loss_G: 0.003221 Loss_D_real: -0.017267 Loss_D_fake 0.005368
[1072/5000][280/535][110530] Loss_D: -0.019614 Loss_G: 0.034985 Loss_D_real: -0.034059 Loss_D_fake -0.014445
[1072/5000][285/535][110531] Loss_D: -0.021563 Loss_G: 0.008037 Loss_D_real: -0.009081 Loss_D_fake 0.012482
[1072/5000][290/535][110532] Loss_D: -0.021615 Loss_G: 0.020473 Loss_D_real: -0.020850 Loss_D_fake 0.000765
[1072/5000][295/535][110533] Loss_D: -0.022035 Loss_G: -0.015700 Loss_D_real: 0.004255 Loss_D_fake 0.026290
[1072/5000][300/535][110534] Loss_D: -0.022027 Loss_G: -0.003147 Loss_D_real: -0.011115 Loss_D_fake 0.010912
[1072/5000][305/535][110535] Loss_D: -0.021712 Loss_G: 0.007964 Loss_D_real: -0.018180 Loss_D_fake 0.003532
[1072/5000][310/535][110536] Loss_D: -0.021447 Loss_G: 0.005675 Loss_D_real: -0.015361 Loss_D_fake 0.006085
[1072/5000][315/535][110537] Loss_D: -0.021689 Loss_G: 0.004506 Loss_D_real: -0.013407 Loss_D_fake 0.008282
[1072/5000][320/535][110538] Loss_D: -0.020928 Loss_G: 0.032481 Loss_D_real: -0.029191 Loss_D_fake -0.008264
[1072/5000][325/535][110539] Loss_D: -0.022437 Loss_G: -0.016042 Loss_D_real: -0.010651 Loss_D_fake 0.011786
[1072/5000][330/535][110540] Loss_D: -0.021826 Loss_G: 0.017121 Loss_D_real: -0.022113 Loss_D_fake -0.000286
[1072/5000][335/535][110541] Loss_D: -0.022268 Loss_G: 0.006361 Loss_D_real: -0.024847 Loss_D_fake -0.002580
[1072/5000][340/535][110542] Loss_D: -0.020419 Loss_G: 0.010779 Loss_D_real: -0.028035 Loss_D_fake -0.007616
[1072/5000][345/535][110543] Loss_D: -0.022970 Loss_G: 0.010776 Loss_D_real: -0.026882 Loss_D_fake -0.003912
[1072/5000][350/535][110544] Loss_D: -0.022844 Loss_G: -0.000044 Loss_D_real: -0.015428 Loss_D_fake 0.007416
[1072/5000][355/535][110545] Loss_D: -0.021368 Loss_G: 0.038724 Loss_D_real: -0.023827 Loss_D_fake -0.002459
[1072/5000][360/535][110546] Loss_D: -0.020997 Loss_G: 0.026991 Loss_D_real: -0.045849 Loss_D_fake -0.024851
[1072/5000][365/535][110547] Loss_D: -0.021585 Loss_G: -0.005635 Loss_D_real: -0.011368 Loss_D_fake 0.010217
[1072/5000][370/535][110548] Loss_D: -0.022831 Loss_G: 0.023417 Loss_D_real: -0.036250 Loss_D_fake -0.013419
[1072/5000][375/535][110549] Loss_D: -0.021651 Loss_G: -0.013104 Loss_D_real: -0.006202 Loss_D_fake 0.015449
[1072/5000][380/535][110550] Loss_D: -0.022118 Loss_G: 0.023852 Loss_D_real: -0.022943 Loss_D_fake -0.000824
[1072/5000][385/535][110551] Loss_D: -0.022148 Loss_G: 0.001278 Loss_D_real: -0.019465 Loss_D_fake 0.002683
[1072/5000][390/535][110552] Loss_D: -0.022262 Loss_G: 0.017812 Loss_D_real: -0.019775 Loss_D_fake 0.002487
[1072/5000][395/535][110553] Loss_D: -0.022800 Loss_G: 0.016557 Loss_D_real: -0.030453 Loss_D_fake -0.007653
[1072/5000][400/535][110554] Loss_D: -0.021642 Loss_G: 0.007554 Loss_D_real: -0.013585 Loss_D_fake 0.008057
[1072/5000][405/535][110555] Loss_D: -0.022521 Loss_G: 0.010691 Loss_D_real: -0.017257 Loss_D_fake 0.005264
[1072/5000][410/535][110556] Loss_D: -0.021106 Loss_G: -0.009799 Loss_D_real: 0.009442 Loss_D_fake 0.030548
[1072/5000][415/535][110557] Loss_D: -0.022744 Loss_G: 0.013017 Loss_D_real: -0.013955 Loss_D_fake 0.008789
[1072/5000][420/535][110558] Loss_D: -0.021974 Loss_G: -0.001936 Loss_D_real: -0.014430 Loss_D_fake 0.007544
[1072/5000][425/535][110559] Loss_D: -0.021399 Loss_G: 0.018298 Loss_D_real: -0.017015 Loss_D_fake 0.004384
[1072/5000][430/535][110560] Loss_D: -0.021433 Loss_G: 0.011468 Loss_D_real: -0.015939 Loss_D_fake 0.005494
[1072/5000][435/535][110561] Loss_D: -0.022043 Loss_G: 0.006052 Loss_D_real: -0.014744 Loss_D_fake 0.007299
[1072/5000][440/535][110562] Loss_D: -0.021559 Loss_G: 0.012770 Loss_D_real: -0.011586 Loss_D_fake 0.009973
[1072/5000][445/535][110563] Loss_D: -0.022474 Loss_G: -0.000804 Loss_D_real: -0.012179 Loss_D_fake 0.010295
[1072/5000][450/535][110564] Loss_D: -0.021998 Loss_G: 0.010060 Loss_D_real: -0.019393 Loss_D_fake 0.002605
[1072/5000][455/535][110565] Loss_D: -0.021133 Loss_G: 0.007380 Loss_D_real: -0.021483 Loss_D_fake -0.000350
[1072/5000][460/535][110566] Loss_D: -0.022841 Loss_G: 0.002669 Loss_D_real: -0.018421 Loss_D_fake 0.004420
[1072/5000][465/535][110567] Loss_D: -0.019884 Loss_G: -0.020050 Loss_D_real: -0.003452 Loss_D_fake 0.016432
[1072/5000][470/535][110568] Loss_D: -0.020761 Loss_G: 0.001860 Loss_D_real: -0.008662 Loss_D_fake 0.012099
[1072/5000][475/535][110569] Loss_D: -0.021848 Loss_G: 0.022938 Loss_D_real: -0.022395 Loss_D_fake -0.000547
[1072/5000][480/535][110570] Loss_D: -0.022104 Loss_G: 0.018011 Loss_D_real: -0.019036 Loss_D_fake 0.003067
[1072/5000][485/535][110571] Loss_D: -0.022229 Loss_G: 0.014238 Loss_D_real: -0.028512 Loss_D_fake -0.006284
[1072/5000][490/535][110572] Loss_D: -0.021308 Loss_G: 0.016534 Loss_D_real: -0.010042 Loss_D_fake 0.011266
[1072/5000][495/535][110573] Loss_D: -0.022928 Loss_G: 0.013386 Loss_D_real: -0.014645 Loss_D_fake 0.008283
[1072/5000][500/535][110574] Loss_D: -0.023021 Loss_G: -0.002941 Loss_D_real: -0.017589 Loss_D_fake 0.005432
[1072/5000][505/535][110575] Loss_D: -0.022441 Loss_G: 0.003897 Loss_D_real: -0.014346 Loss_D_fake 0.008095
[1072/5000][510/535][110576] Loss_D: -0.021638 Loss_G: 0.024850 Loss_D_real: -0.024727 Loss_D_fake -0.003089
[1072/5000][515/535][110577] Loss_D: -0.021963 Loss_G: -0.012238 Loss_D_real: 0.004169 Loss_D_fake 0.026132
[1072/5000][520/535][110578] Loss_D: -0.020763 Loss_G: 0.011537 Loss_D_real: -0.013962 Loss_D_fake 0.006800
[1072/5000][525/535][110579] Loss_D: -0.023471 Loss_G: 0.010063 Loss_D_real: -0.028136 Loss_D_fake -0.004664
[1072/5000][530/535][110580] Loss_D: -0.022888 Loss_G: 0.012887 Loss_D_real: -0.021441 Loss_D_fake 0.001448
[1072/5000][535/535][110581] Loss_D: -0.019368 Loss_G: 0.029159 Loss_D_real: -0.023729 Loss_D_fake -0.004361
[1073/5000][5/535][110582] Loss_D: -0.022075 Loss_G: -0.004500 Loss_D_real: 0.007377 Loss_D_fake 0.029452
[1073/5000][10/535][110583] Loss_D: -0.022766 Loss_G: 0.000243 Loss_D_real: -0.021091 Loss_D_fake 0.001675
[1073/5000][15/535][110584] Loss_D: -0.021309 Loss_G: 0.002349 Loss_D_real: -0.028378 Loss_D_fake -0.007068
[1073/5000][20/535][110585] Loss_D: -0.022940 Loss_G: 0.031317 Loss_D_real: -0.027628 Loss_D_fake -0.004688
[1073/5000][25/535][110586] Loss_D: -0.022404 Loss_G: -0.004196 Loss_D_real: -0.009162 Loss_D_fake 0.013242
[1073/5000][30/535][110587] Loss_D: -0.022441 Loss_G: 0.018345 Loss_D_real: -0.032631 Loss_D_fake -0.010190
[1073/5000][35/535][110588] Loss_D: -0.021839 Loss_G: -0.013756 Loss_D_real: -0.007196 Loss_D_fake 0.014643
[1073/5000][40/535][110589] Loss_D: -0.022206 Loss_G: -0.007966 Loss_D_real: -0.010384 Loss_D_fake 0.011821
[1073/5000][45/535][110590] Loss_D: -0.022383 Loss_G: 0.019858 Loss_D_real: -0.038118 Loss_D_fake -0.015734
[1073/5000][50/535][110591] Loss_D: -0.023216 Loss_G: 0.018167 Loss_D_real: -0.020972 Loss_D_fake 0.002244
[1073/5000][55/535][110592] Loss_D: -0.021928 Loss_G: -0.007548 Loss_D_real: -0.012741 Loss_D_fake 0.009187
[1073/5000][60/535][110593] Loss_D: -0.021550 Loss_G: 0.004172 Loss_D_real: -0.017941 Loss_D_fake 0.003609
[1073/5000][65/535][110594] Loss_D: -0.022235 Loss_G: -0.002261 Loss_D_real: -0.018125 Loss_D_fake 0.004110
[1073/5000][70/535][110595] Loss_D: -0.020404 Loss_G: -0.013020 Loss_D_real: -0.002689 Loss_D_fake 0.017715
[1073/5000][75/535][110596] Loss_D: -0.019234 Loss_G: 0.036677 Loss_D_real: -0.042467 Loss_D_fake -0.023232
[1073/5000][80/535][110597] Loss_D: -0.018643 Loss_G: -0.021833 Loss_D_real: -0.004381 Loss_D_fake 0.014262
[1073/5000][85/535][110598] Loss_D: -0.020524 Loss_G: -0.000097 Loss_D_real: -0.012587 Loss_D_fake 0.007937
[1073/5000][90/535][110599] Loss_D: -0.021104 Loss_G: -0.002052 Loss_D_real: -0.015754 Loss_D_fake 0.005350
[1073/5000][95/535][110600] Loss_D: -0.021807 Loss_G: 0.018379 Loss_D_real: -0.025909 Loss_D_fake -0.004101
[1073/5000][100/535][110601] Loss_D: -0.020296 Loss_G: 0.023053 Loss_D_real: -0.022212 Loss_D_fake -0.001916
[1073/5000][105/535][110602] Loss_D: -0.022038 Loss_G: -0.002748 Loss_D_real: -0.014452 Loss_D_fake 0.007587
[1073/5000][110/535][110603] Loss_D: -0.022101 Loss_G: 0.012667 Loss_D_real: -0.027789 Loss_D_fake -0.005688
[1073/5000][115/535][110604] Loss_D: -0.021803 Loss_G: 0.020672 Loss_D_real: -0.021658 Loss_D_fake 0.000144
[1073/5000][120/535][110605] Loss_D: -0.020240 Loss_G: 0.014356 Loss_D_real: -0.022213 Loss_D_fake -0.001973
[1073/5000][125/535][110606] Loss_D: -0.023091 Loss_G: -0.004274 Loss_D_real: -0.015489 Loss_D_fake 0.007602
[1073/5000][130/535][110607] Loss_D: -0.022811 Loss_G: 0.010220 Loss_D_real: -0.022845 Loss_D_fake -0.000033
[1073/5000][135/535][110608] Loss_D: -0.022876 Loss_G: 0.020681 Loss_D_real: -0.021735 Loss_D_fake 0.001141
[1073/5000][140/535][110609] Loss_D: -0.022089 Loss_G: -0.005638 Loss_D_real: -0.006281 Loss_D_fake 0.015808
[1073/5000][145/535][110610] Loss_D: -0.021876 Loss_G: 0.024690 Loss_D_real: -0.025164 Loss_D_fake -0.003288
[1073/5000][150/535][110611] Loss_D: -0.020648 Loss_G: -0.017480 Loss_D_real: 0.008637 Loss_D_fake 0.029286
[1073/5000][155/535][110612] Loss_D: -0.021900 Loss_G: 0.023903 Loss_D_real: -0.028259 Loss_D_fake -0.006359
[1073/5000][160/535][110613] Loss_D: -0.022810 Loss_G: 0.003825 Loss_D_real: -0.017134 Loss_D_fake 0.005676
[1073/5000][165/535][110614] Loss_D: -0.023872 Loss_G: 0.006739 Loss_D_real: -0.024346 Loss_D_fake -0.000474
[1073/5000][170/535][110615] Loss_D: -0.022944 Loss_G: 0.002514 Loss_D_real: -0.019489 Loss_D_fake 0.003455
[1073/5000][175/535][110616] Loss_D: -0.023176 Loss_G: 0.005884 Loss_D_real: -0.017871 Loss_D_fake 0.005304
[1073/5000][180/535][110617] Loss_D: -0.022074 Loss_G: 0.003672 Loss_D_real: -0.022509 Loss_D_fake -0.000434
[1073/5000][185/535][110618] Loss_D: -0.022183 Loss_G: 0.031681 Loss_D_real: -0.021069 Loss_D_fake 0.001114
[1073/5000][190/535][110619] Loss_D: -0.022266 Loss_G: -0.000291 Loss_D_real: -0.024986 Loss_D_fake -0.002720
[1073/5000][195/535][110620] Loss_D: -0.022378 Loss_G: 0.028192 Loss_D_real: -0.021497 Loss_D_fake 0.000881
[1073/5000][200/535][110621] Loss_D: -0.022822 Loss_G: 0.012883 Loss_D_real: -0.025332 Loss_D_fake -0.002510
[1073/5000][205/535][110622] Loss_D: -0.022061 Loss_G: 0.004418 Loss_D_real: -0.019717 Loss_D_fake 0.002344
[1073/5000][210/535][110623] Loss_D: -0.022937 Loss_G: -0.004322 Loss_D_real: -0.006928 Loss_D_fake 0.016009
[1073/5000][215/535][110624] Loss_D: -0.023446 Loss_G: 0.026332 Loss_D_real: -0.026767 Loss_D_fake -0.003321
[1073/5000][220/535][110625] Loss_D: -0.020693 Loss_G: 0.023845 Loss_D_real: -0.033858 Loss_D_fake -0.013165
[1073/5000][225/535][110626] Loss_D: -0.023223 Loss_G: 0.024790 Loss_D_real: -0.031817 Loss_D_fake -0.008594
[1073/5000][230/535][110627] Loss_D: -0.022061 Loss_G: -0.006670 Loss_D_real: -0.005435 Loss_D_fake 0.016626
[1073/5000][235/535][110628] Loss_D: -0.022690 Loss_G: 0.009003 Loss_D_real: -0.014504 Loss_D_fake 0.008185
[1073/5000][240/535][110629] Loss_D: -0.022036 Loss_G: 0.003288 Loss_D_real: -0.016427 Loss_D_fake 0.005609
[1073/5000][245/535][110630] Loss_D: -0.022504 Loss_G: 0.013647 Loss_D_real: -0.017277 Loss_D_fake 0.005227
[1073/5000][250/535][110631] Loss_D: -0.022394 Loss_G: 0.009576 Loss_D_real: -0.024587 Loss_D_fake -0.002193
[1073/5000][255/535][110632] Loss_D: -0.022183 Loss_G: 0.017528 Loss_D_real: -0.027993 Loss_D_fake -0.005810
[1073/5000][260/535][110633] Loss_D: -0.022098 Loss_G: 0.015264 Loss_D_real: -0.029810 Loss_D_fake -0.007711
[1073/5000][265/535][110634] Loss_D: -0.022440 Loss_G: 0.006085 Loss_D_real: -0.005530 Loss_D_fake 0.016910
[1073/5000][270/535][110635] Loss_D: -0.022503 Loss_G: 0.006270 Loss_D_real: -0.024419 Loss_D_fake -0.001916
[1073/5000][275/535][110636] Loss_D: -0.022191 Loss_G: -0.000198 Loss_D_real: -0.015684 Loss_D_fake 0.006507
[1073/5000][280/535][110637] Loss_D: -0.020152 Loss_G: 0.010741 Loss_D_real: -0.021349 Loss_D_fake -0.001198
[1073/5000][285/535][110638] Loss_D: -0.020783 Loss_G: -0.015012 Loss_D_real: -0.007663 Loss_D_fake 0.013120
[1073/5000][290/535][110639] Loss_D: -0.021293 Loss_G: 0.011954 Loss_D_real: -0.021907 Loss_D_fake -0.000614
[1073/5000][295/535][110640] Loss_D: -0.022450 Loss_G: 0.004361 Loss_D_real: -0.004390 Loss_D_fake 0.018060
[1073/5000][300/535][110641] Loss_D: -0.021154 Loss_G: 0.022298 Loss_D_real: -0.019233 Loss_D_fake 0.001920
[1073/5000][305/535][110642] Loss_D: -0.022329 Loss_G: 0.016822 Loss_D_real: -0.025005 Loss_D_fake -0.002676
[1073/5000][310/535][110643] Loss_D: -0.021235 Loss_G: 0.028033 Loss_D_real: -0.030125 Loss_D_fake -0.008891
[1073/5000][315/535][110644] Loss_D: -0.022454 Loss_G: 0.005696 Loss_D_real: -0.031092 Loss_D_fake -0.008637
[1073/5000][320/535][110645] Loss_D: -0.021764 Loss_G: 0.000885 Loss_D_real: -0.026265 Loss_D_fake -0.004501
[1073/5000][325/535][110646] Loss_D: -0.020899 Loss_G: -0.019403 Loss_D_real: 0.010397 Loss_D_fake 0.031297
[1073/5000][330/535][110647] Loss_D: -0.020710 Loss_G: -0.001249 Loss_D_real: -0.007974 Loss_D_fake 0.012736
[1073/5000][335/535][110648] Loss_D: -0.023604 Loss_G: 0.009688 Loss_D_real: -0.006194 Loss_D_fake 0.017410
[1073/5000][340/535][110649] Loss_D: -0.022330 Loss_G: 0.000686 Loss_D_real: -0.008258 Loss_D_fake 0.014072
[1073/5000][345/535][110650] Loss_D: -0.022121 Loss_G: 0.001361 Loss_D_real: -0.013609 Loss_D_fake 0.008511
[1073/5000][350/535][110651] Loss_D: -0.023616 Loss_G: 0.040777 Loss_D_real: -0.025277 Loss_D_fake -0.001662
[1073/5000][355/535][110652] Loss_D: -0.022701 Loss_G: -0.003628 Loss_D_real: -0.005083 Loss_D_fake 0.017619
[1073/5000][360/535][110653] Loss_D: -0.020229 Loss_G: 0.027709 Loss_D_real: -0.027383 Loss_D_fake -0.007153
[1073/5000][365/535][110654] Loss_D: -0.022276 Loss_G: 0.010653 Loss_D_real: -0.026115 Loss_D_fake -0.003839
[1073/5000][370/535][110655] Loss_D: -0.022350 Loss_G: 0.022482 Loss_D_real: -0.018861 Loss_D_fake 0.003489
[1073/5000][375/535][110656] Loss_D: -0.022687 Loss_G: -0.000313 Loss_D_real: -0.017140 Loss_D_fake 0.005547
[1073/5000][380/535][110657] Loss_D: -0.022223 Loss_G: 0.009568 Loss_D_real: -0.023151 Loss_D_fake -0.000928
[1073/5000][385/535][110658] Loss_D: -0.023620 Loss_G: 0.008878 Loss_D_real: -0.021172 Loss_D_fake 0.002447
[1073/5000][390/535][110659] Loss_D: -0.021997 Loss_G: -0.005164 Loss_D_real: -0.009258 Loss_D_fake 0.012740
[1073/5000][395/535][110660] Loss_D: -0.021708 Loss_G: 0.007381 Loss_D_real: -0.032565 Loss_D_fake -0.010858
[1073/5000][400/535][110661] Loss_D: -0.021886 Loss_G: 0.013608 Loss_D_real: -0.021356 Loss_D_fake 0.000530
[1073/5000][405/535][110662] Loss_D: -0.021785 Loss_G: 0.000862 Loss_D_real: -0.006014 Loss_D_fake 0.015772
[1073/5000][410/535][110663] Loss_D: -0.022302 Loss_G: 0.023983 Loss_D_real: -0.022075 Loss_D_fake 0.000227
[1073/5000][415/535][110664] Loss_D: -0.022415 Loss_G: -0.000982 Loss_D_real: -0.012971 Loss_D_fake 0.009444
[1073/5000][420/535][110665] Loss_D: -0.020537 Loss_G: -0.000926 Loss_D_real: -0.005652 Loss_D_fake 0.014885
[1073/5000][425/535][110666] Loss_D: -0.021468 Loss_G: 0.013523 Loss_D_real: -0.023901 Loss_D_fake -0.002433
[1073/5000][430/535][110667] Loss_D: -0.023520 Loss_G: -0.001162 Loss_D_real: -0.007559 Loss_D_fake 0.015961
[1073/5000][435/535][110668] Loss_D: -0.022512 Loss_G: 0.006729 Loss_D_real: -0.012325 Loss_D_fake 0.010187
[1073/5000][440/535][110669] Loss_D: -0.022743 Loss_G: -0.005669 Loss_D_real: 0.002749 Loss_D_fake 0.025492
[1073/5000][445/535][110670] Loss_D: -0.020628 Loss_G: -0.017217 Loss_D_real: 0.000316 Loss_D_fake 0.020944
[1073/5000][450/535][110671] Loss_D: -0.021009 Loss_G: 0.026241 Loss_D_real: -0.027019 Loss_D_fake -0.006010
[1073/5000][455/535][110672] Loss_D: -0.020260 Loss_G: 0.010864 Loss_D_real: -0.027862 Loss_D_fake -0.007602
[1073/5000][460/535][110673] Loss_D: -0.022065 Loss_G: 0.002645 Loss_D_real: -0.018207 Loss_D_fake 0.003858
[1073/5000][465/535][110674] Loss_D: -0.022775 Loss_G: 0.000181 Loss_D_real: -0.013007 Loss_D_fake 0.009768
[1073/5000][470/535][110675] Loss_D: -0.019729 Loss_G: 0.029387 Loss_D_real: -0.043870 Loss_D_fake -0.024141
[1073/5000][475/535][110676] Loss_D: -0.021667 Loss_G: -0.013436 Loss_D_real: 0.002695 Loss_D_fake 0.024362
[1073/5000][480/535][110677] Loss_D: -0.020547 Loss_G: -0.008097 Loss_D_real: -0.003555 Loss_D_fake 0.016992
[1073/5000][485/535][110678] Loss_D: -0.023614 Loss_G: 0.004073 Loss_D_real: -0.014057 Loss_D_fake 0.009557
[1073/5000][490/535][110679] Loss_D: -0.022421 Loss_G: -0.007632 Loss_D_real: -0.000918 Loss_D_fake 0.021504
[1073/5000][495/535][110680] Loss_D: -0.022137 Loss_G: -0.002099 Loss_D_real: -0.010486 Loss_D_fake 0.011650
[1073/5000][500/535][110681] Loss_D: -0.021918 Loss_G: 0.015012 Loss_D_real: -0.027672 Loss_D_fake -0.005755
[1073/5000][505/535][110682] Loss_D: -0.023065 Loss_G: 0.002774 Loss_D_real: -0.013452 Loss_D_fake 0.009613
[1073/5000][510/535][110683] Loss_D: -0.023499 Loss_G: 0.003816 Loss_D_real: -0.027563 Loss_D_fake -0.004064
[1073/5000][515/535][110684] Loss_D: -0.023215 Loss_G: 0.014794 Loss_D_real: -0.013718 Loss_D_fake 0.009497
[1073/5000][520/535][110685] Loss_D: -0.023031 Loss_G: 0.007497 Loss_D_real: -0.027106 Loss_D_fake -0.004075
[1073/5000][525/535][110686] Loss_D: -0.021776 Loss_G: 0.016297 Loss_D_real: -0.026324 Loss_D_fake -0.004548
[1073/5000][530/535][110687] Loss_D: -0.023126 Loss_G: -0.005728 Loss_D_real: -0.006973 Loss_D_fake 0.016153
[1073/5000][535/535][110688] Loss_D: -0.023205 Loss_G: 0.016866 Loss_D_real: -0.017024 Loss_D_fake 0.006181
[1074/5000][5/535][110689] Loss_D: -0.022699 Loss_G: 0.016580 Loss_D_real: -0.011478 Loss_D_fake 0.011222
[1074/5000][10/535][110690] Loss_D: -0.021247 Loss_G: 0.005220 Loss_D_real: -0.010907 Loss_D_fake 0.010340
[1074/5000][15/535][110691] Loss_D: -0.021783 Loss_G: 0.011736 Loss_D_real: -0.018350 Loss_D_fake 0.003433
[1074/5000][20/535][110692] Loss_D: -0.023058 Loss_G: 0.003487 Loss_D_real: -0.022779 Loss_D_fake 0.000279
[1074/5000][25/535][110693] Loss_D: -0.022809 Loss_G: 0.010962 Loss_D_real: -0.019153 Loss_D_fake 0.003656
[1074/5000][30/535][110694] Loss_D: -0.022208 Loss_G: 0.008486 Loss_D_real: -0.012792 Loss_D_fake 0.009416
[1074/5000][35/535][110695] Loss_D: -0.022922 Loss_G: 0.007666 Loss_D_real: -0.026644 Loss_D_fake -0.003722
[1074/5000][40/535][110696] Loss_D: -0.018711 Loss_G: 0.029418 Loss_D_real: -0.032810 Loss_D_fake -0.014099
[1074/5000][45/535][110697] Loss_D: -0.022793 Loss_G: -0.006838 Loss_D_real: -0.012434 Loss_D_fake 0.010359
[1074/5000][50/535][110698] Loss_D: -0.022798 Loss_G: 0.000795 Loss_D_real: -0.010825 Loss_D_fake 0.011973
[1074/5000][55/535][110699] Loss_D: -0.022144 Loss_G: 0.002971 Loss_D_real: -0.016364 Loss_D_fake 0.005780
[1074/5000][60/535][110700] Loss_D: -0.022554 Loss_G: 0.010313 Loss_D_real: -0.031290 Loss_D_fake -0.008735
[1074/5000][65/535][110701] Loss_D: -0.021418 Loss_G: 0.032522 Loss_D_real: -0.028283 Loss_D_fake -0.006865
[1074/5000][70/535][110702] Loss_D: -0.020677 Loss_G: 0.021811 Loss_D_real: -0.035339 Loss_D_fake -0.014662
[1074/5000][75/535][110703] Loss_D: -0.024098 Loss_G: 0.013355 Loss_D_real: -0.017904 Loss_D_fake 0.006194
[1074/5000][80/535][110704] Loss_D: -0.024009 Loss_G: 0.007903 Loss_D_real: -0.023759 Loss_D_fake 0.000250
[1074/5000][85/535][110705] Loss_D: -0.021502 Loss_G: 0.029493 Loss_D_real: -0.035703 Loss_D_fake -0.014200
[1074/5000][90/535][110706] Loss_D: -0.022912 Loss_G: 0.011526 Loss_D_real: -0.016302 Loss_D_fake 0.006610
[1074/5000][95/535][110707] Loss_D: -0.024138 Loss_G: 0.010597 Loss_D_real: -0.017936 Loss_D_fake 0.006202
[1074/5000][100/535][110708] Loss_D: -0.021257 Loss_G: 0.020188 Loss_D_real: -0.032806 Loss_D_fake -0.011549
[1074/5000][105/535][110709] Loss_D: -0.021748 Loss_G: 0.011119 Loss_D_real: -0.016365 Loss_D_fake 0.005383
[1074/5000][110/535][110710] Loss_D: -0.020711 Loss_G: 0.016123 Loss_D_real: -0.020321 Loss_D_fake 0.000390
[1074/5000][115/535][110711] Loss_D: -0.021324 Loss_G: 0.016898 Loss_D_real: -0.024690 Loss_D_fake -0.003366
[1074/5000][120/535][110712] Loss_D: -0.022479 Loss_G: 0.000069 Loss_D_real: -0.015427 Loss_D_fake 0.007053
[1074/5000][125/535][110713] Loss_D: -0.021935 Loss_G: 0.002665 Loss_D_real: -0.018049 Loss_D_fake 0.003886
[1074/5000][130/535][110714] Loss_D: -0.022191 Loss_G: 0.003670 Loss_D_real: -0.017123 Loss_D_fake 0.005068
[1074/5000][135/535][110715] Loss_D: -0.021258 Loss_G: 0.022257 Loss_D_real: -0.028371 Loss_D_fake -0.007113
[1074/5000][140/535][110716] Loss_D: -0.021497 Loss_G: 0.005945 Loss_D_real: -0.022630 Loss_D_fake -0.001132
[1074/5000][145/535][110717] Loss_D: -0.022189 Loss_G: 0.010544 Loss_D_real: -0.027069 Loss_D_fake -0.004880
[1074/5000][150/535][110718] Loss_D: -0.022228 Loss_G: -0.008673 Loss_D_real: -0.009544 Loss_D_fake 0.012684
[1074/5000][155/535][110719] Loss_D: -0.021295 Loss_G: 0.017603 Loss_D_real: -0.019380 Loss_D_fake 0.001915
[1074/5000][160/535][110720] Loss_D: -0.020799 Loss_G: -0.002000 Loss_D_real: -0.013900 Loss_D_fake 0.006898
[1074/5000][165/535][110721] Loss_D: -0.021415 Loss_G: 0.012904 Loss_D_real: -0.025174 Loss_D_fake -0.003759
[1074/5000][170/535][110722] Loss_D: -0.021756 Loss_G: 0.023824 Loss_D_real: -0.030066 Loss_D_fake -0.008310
[1074/5000][175/535][110723] Loss_D: -0.022089 Loss_G: 0.000901 Loss_D_real: -0.008102 Loss_D_fake 0.013987
[1074/5000][180/535][110724] Loss_D: -0.021358 Loss_G: -0.006420 Loss_D_real: -0.003090 Loss_D_fake 0.018268
[1074/5000][185/535][110725] Loss_D: -0.021990 Loss_G: -0.007695 Loss_D_real: -0.012770 Loss_D_fake 0.009220
[1074/5000][190/535][110726] Loss_D: -0.021520 Loss_G: 0.024868 Loss_D_real: -0.034691 Loss_D_fake -0.013172
[1074/5000][195/535][110727] Loss_D: -0.022470 Loss_G: 0.014223 Loss_D_real: -0.012654 Loss_D_fake 0.009816
[1074/5000][200/535][110728] Loss_D: -0.020558 Loss_G: 0.026038 Loss_D_real: -0.037269 Loss_D_fake -0.016710
[1074/5000][205/535][110729] Loss_D: -0.022374 Loss_G: -0.000819 Loss_D_real: -0.014055 Loss_D_fake 0.008319
[1074/5000][210/535][110730] Loss_D: -0.020928 Loss_G: 0.002056 Loss_D_real: -0.015583 Loss_D_fake 0.005345
[1074/5000][215/535][110731] Loss_D: -0.021300 Loss_G: 0.002017 Loss_D_real: -0.005405 Loss_D_fake 0.015895
[1074/5000][220/535][110732] Loss_D: -0.020061 Loss_G: 0.011224 Loss_D_real: -0.037176 Loss_D_fake -0.017115
[1074/5000][225/535][110733] Loss_D: -0.020831 Loss_G: 0.017437 Loss_D_real: -0.018581 Loss_D_fake 0.002250
[1074/5000][230/535][110734] Loss_D: -0.022212 Loss_G: -0.003485 Loss_D_real: -0.003306 Loss_D_fake 0.018906
[1074/5000][235/535][110735] Loss_D: -0.023812 Loss_G: 0.017552 Loss_D_real: -0.022038 Loss_D_fake 0.001774
[1074/5000][240/535][110736] Loss_D: -0.023046 Loss_G: -0.000584 Loss_D_real: -0.012369 Loss_D_fake 0.010677
[1074/5000][245/535][110737] Loss_D: -0.023237 Loss_G: -0.000528 Loss_D_real: -0.005688 Loss_D_fake 0.017549
[1074/5000][250/535][110738] Loss_D: -0.022502 Loss_G: 0.001855 Loss_D_real: -0.016876 Loss_D_fake 0.005626
[1074/5000][255/535][110739] Loss_D: -0.021570 Loss_G: -0.006598 Loss_D_real: -0.007276 Loss_D_fake 0.014294
[1074/5000][260/535][110740] Loss_D: -0.021584 Loss_G: 0.016081 Loss_D_real: -0.027636 Loss_D_fake -0.006052
[1074/5000][265/535][110741] Loss_D: -0.022851 Loss_G: 0.023607 Loss_D_real: -0.028637 Loss_D_fake -0.005787
[1074/5000][270/535][110742] Loss_D: -0.021438 Loss_G: -0.014821 Loss_D_real: -0.003932 Loss_D_fake 0.017506
[1074/5000][275/535][110743] Loss_D: -0.022810 Loss_G: 0.018615 Loss_D_real: -0.014514 Loss_D_fake 0.008295
[1074/5000][280/535][110744] Loss_D: -0.022730 Loss_G: -0.005216 Loss_D_real: -0.010289 Loss_D_fake 0.012441
[1074/5000][285/535][110745] Loss_D: -0.022577 Loss_G: 0.009083 Loss_D_real: -0.017424 Loss_D_fake 0.005152
[1074/5000][290/535][110746] Loss_D: -0.021030 Loss_G: -0.008363 Loss_D_real: -0.004041 Loss_D_fake 0.016989
[1074/5000][295/535][110747] Loss_D: -0.022453 Loss_G: 0.009460 Loss_D_real: -0.022633 Loss_D_fake -0.000179
[1074/5000][300/535][110748] Loss_D: -0.021304 Loss_G: 0.008695 Loss_D_real: -0.021112 Loss_D_fake 0.000192
[1074/5000][305/535][110749] Loss_D: -0.023580 Loss_G: 0.020060 Loss_D_real: -0.021258 Loss_D_fake 0.002322
[1074/5000][310/535][110750] Loss_D: -0.021768 Loss_G: 0.014825 Loss_D_real: -0.014977 Loss_D_fake 0.006790
[1074/5000][315/535][110751] Loss_D: -0.022269 Loss_G: 0.028243 Loss_D_real: -0.031782 Loss_D_fake -0.009512
[1074/5000][320/535][110752] Loss_D: -0.023494 Loss_G: 0.001020 Loss_D_real: -0.018286 Loss_D_fake 0.005209
[1074/5000][325/535][110753] Loss_D: -0.021925 Loss_G: 0.026092 Loss_D_real: -0.028293 Loss_D_fake -0.006369
[1074/5000][330/535][110754] Loss_D: -0.022614 Loss_G: -0.002106 Loss_D_real: -0.005826 Loss_D_fake 0.016788
[1074/5000][335/535][110755] Loss_D: -0.021413 Loss_G: 0.019355 Loss_D_real: -0.028100 Loss_D_fake -0.006688
[1074/5000][340/535][110756] Loss_D: -0.020079 Loss_G: 0.003682 Loss_D_real: -0.021724 Loss_D_fake -0.001645
[1074/5000][345/535][110757] Loss_D: -0.022658 Loss_G: 0.009266 Loss_D_real: -0.017862 Loss_D_fake 0.004797
[1074/5000][350/535][110758] Loss_D: -0.021985 Loss_G: 0.013628 Loss_D_real: -0.025043 Loss_D_fake -0.003058
[1074/5000][355/535][110759] Loss_D: -0.021992 Loss_G: 0.004073 Loss_D_real: -0.019177 Loss_D_fake 0.002815
[1074/5000][360/535][110760] Loss_D: -0.021045 Loss_G: -0.010457 Loss_D_real: -0.010201 Loss_D_fake 0.010843
[1074/5000][365/535][110761] Loss_D: -0.022253 Loss_G: 0.008090 Loss_D_real: -0.020907 Loss_D_fake 0.001346
[1074/5000][370/535][110762] Loss_D: -0.022117 Loss_G: 0.011891 Loss_D_real: -0.026298 Loss_D_fake -0.004182
[1074/5000][375/535][110763] Loss_D: -0.021646 Loss_G: 0.009510 Loss_D_real: -0.023062 Loss_D_fake -0.001416
[1074/5000][380/535][110764] Loss_D: -0.021794 Loss_G: 0.026171 Loss_D_real: -0.026701 Loss_D_fake -0.004906
[1074/5000][385/535][110765] Loss_D: -0.022545 Loss_G: 0.014123 Loss_D_real: -0.035056 Loss_D_fake -0.012511
[1074/5000][390/535][110766] Loss_D: -0.022898 Loss_G: -0.003047 Loss_D_real: -0.013969 Loss_D_fake 0.008929
[1074/5000][395/535][110767] Loss_D: -0.021928 Loss_G: -0.011221 Loss_D_real: -0.010205 Loss_D_fake 0.011723
[1074/5000][400/535][110768] Loss_D: -0.021748 Loss_G: 0.011768 Loss_D_real: -0.020448 Loss_D_fake 0.001299
[1074/5000][405/535][110769] Loss_D: -0.021610 Loss_G: 0.029197 Loss_D_real: -0.023508 Loss_D_fake -0.001897
[1074/5000][410/535][110770] Loss_D: -0.022465 Loss_G: 0.016740 Loss_D_real: -0.021748 Loss_D_fake 0.000717
[1074/5000][415/535][110771] Loss_D: -0.022911 Loss_G: 0.006525 Loss_D_real: -0.021424 Loss_D_fake 0.001487
[1074/5000][420/535][110772] Loss_D: -0.021793 Loss_G: 0.004537 Loss_D_real: -0.023395 Loss_D_fake -0.001602
[1074/5000][425/535][110773] Loss_D: -0.021194 Loss_G: 0.013799 Loss_D_real: -0.025696 Loss_D_fake -0.004503
[1074/5000][430/535][110774] Loss_D: -0.021950 Loss_G: 0.010365 Loss_D_real: -0.022254 Loss_D_fake -0.000305
[1074/5000][435/535][110775] Loss_D: -0.022573 Loss_G: 0.006385 Loss_D_real: -0.010112 Loss_D_fake 0.012461
[1074/5000][440/535][110776] Loss_D: -0.022259 Loss_G: -0.003365 Loss_D_real: -0.003798 Loss_D_fake 0.018461
[1074/5000][445/535][110777] Loss_D: -0.022680 Loss_G: 0.007882 Loss_D_real: -0.019121 Loss_D_fake 0.003559
[1074/5000][450/535][110778] Loss_D: -0.021809 Loss_G: -0.007035 Loss_D_real: -0.009944 Loss_D_fake 0.011865
[1074/5000][455/535][110779] Loss_D: -0.022558 Loss_G: 0.003421 Loss_D_real: -0.021346 Loss_D_fake 0.001213
[1074/5000][460/535][110780] Loss_D: -0.020608 Loss_G: 0.018445 Loss_D_real: -0.025372 Loss_D_fake -0.004764
[1074/5000][465/535][110781] Loss_D: -0.022936 Loss_G: -0.010555 Loss_D_real: -0.008057 Loss_D_fake 0.014878
[1074/5000][470/535][110782] Loss_D: -0.021636 Loss_G: 0.018394 Loss_D_real: -0.023630 Loss_D_fake -0.001994
[1074/5000][475/535][110783] Loss_D: -0.020913 Loss_G: -0.014546 Loss_D_real: -0.005151 Loss_D_fake 0.015762
[1074/5000][480/535][110784] Loss_D: -0.023008 Loss_G: 0.009400 Loss_D_real: -0.024497 Loss_D_fake -0.001490
[1074/5000][485/535][110785] Loss_D: -0.021419 Loss_G: 0.026603 Loss_D_real: -0.025840 Loss_D_fake -0.004421
[1074/5000][490/535][110786] Loss_D: -0.022653 Loss_G: 0.018241 Loss_D_real: -0.020530 Loss_D_fake 0.002123
[1074/5000][495/535][110787] Loss_D: -0.021058 Loss_G: 0.009684 Loss_D_real: -0.010188 Loss_D_fake 0.010870
[1074/5000][500/535][110788] Loss_D: -0.022578 Loss_G: 0.003354 Loss_D_real: -0.025035 Loss_D_fake -0.002457
[1074/5000][505/535][110789] Loss_D: -0.020766 Loss_G: -0.008108 Loss_D_real: 0.000074 Loss_D_fake 0.020840
[1074/5000][510/535][110790] Loss_D: -0.020791 Loss_G: -0.005184 Loss_D_real: -0.011698 Loss_D_fake 0.009093
[1074/5000][515/535][110791] Loss_D: -0.022888 Loss_G: 0.002833 Loss_D_real: -0.009532 Loss_D_fake 0.013356
[1074/5000][520/535][110792] Loss_D: -0.022547 Loss_G: -0.007813 Loss_D_real: -0.012959 Loss_D_fake 0.009588
[1074/5000][525/535][110793] Loss_D: -0.021886 Loss_G: 0.013188 Loss_D_real: -0.022776 Loss_D_fake -0.000891
[1074/5000][530/535][110794] Loss_D: -0.022409 Loss_G: 0.017018 Loss_D_real: -0.027254 Loss_D_fake -0.004845
[1074/5000][535/535][110795] Loss_D: -0.024259 Loss_G: -0.034343 Loss_D_real: -0.011600 Loss_D_fake 0.012660
[1075/5000][5/535][110796] Loss_D: -0.019949 Loss_G: 0.030498 Loss_D_real: -0.031124 Loss_D_fake -0.011176
[1075/5000][10/535][110797] Loss_D: -0.021039 Loss_G: 0.007976 Loss_D_real: -0.016172 Loss_D_fake 0.004867
[1075/5000][15/535][110798] Loss_D: -0.021131 Loss_G: 0.027153 Loss_D_real: -0.026972 Loss_D_fake -0.005841
[1075/5000][20/535][110799] Loss_D: -0.021135 Loss_G: -0.000148 Loss_D_real: -0.002316 Loss_D_fake 0.018818
[1075/5000][25/535][110800] Loss_D: -0.022178 Loss_G: 0.005792 Loss_D_real: -0.022711 Loss_D_fake -0.000533
[1075/5000][30/535][110801] Loss_D: -0.022589 Loss_G: 0.011650 Loss_D_real: -0.009705 Loss_D_fake 0.012883
[1075/5000][35/535][110802] Loss_D: -0.023151 Loss_G: 0.007072 Loss_D_real: -0.010044 Loss_D_fake 0.013107
[1075/5000][40/535][110803] Loss_D: -0.021829 Loss_G: 0.027231 Loss_D_real: -0.019609 Loss_D_fake 0.002219
[1075/5000][45/535][110804] Loss_D: -0.021041 Loss_G: -0.004405 Loss_D_real: -0.009901 Loss_D_fake 0.011140
[1075/5000][50/535][110805] Loss_D: -0.022232 Loss_G: -0.001382 Loss_D_real: -0.010402 Loss_D_fake 0.011831
[1075/5000][55/535][110806] Loss_D: -0.020811 Loss_G: 0.032461 Loss_D_real: -0.031752 Loss_D_fake -0.010941
[1075/5000][60/535][110807] Loss_D: -0.021311 Loss_G: 0.002097 Loss_D_real: -0.019096 Loss_D_fake 0.002215
[1075/5000][65/535][110808] Loss_D: -0.022150 Loss_G: 0.001201 Loss_D_real: -0.008265 Loss_D_fake 0.013885
[1075/5000][70/535][110809] Loss_D: -0.022778 Loss_G: 0.023768 Loss_D_real: -0.022109 Loss_D_fake 0.000670
[1075/5000][75/535][110810] Loss_D: -0.022912 Loss_G: 0.001441 Loss_D_real: -0.009544 Loss_D_fake 0.013368
[1075/5000][80/535][110811] Loss_D: -0.021955 Loss_G: -0.012894 Loss_D_real: -0.003598 Loss_D_fake 0.018357
[1075/5000][85/535][110812] Loss_D: -0.021342 Loss_G: -0.009047 Loss_D_real: 0.000613 Loss_D_fake 0.021954
[1075/5000][90/535][110813] Loss_D: -0.021476 Loss_G: 0.006700 Loss_D_real: -0.023737 Loss_D_fake -0.002261
[1075/5000][95/535][110814] Loss_D: -0.022657 Loss_G: 0.018899 Loss_D_real: -0.029599 Loss_D_fake -0.006942
[1075/5000][100/535][110815] Loss_D: -0.022527 Loss_G: 0.027914 Loss_D_real: -0.022621 Loss_D_fake -0.000094
[1075/5000][105/535][110816] Loss_D: -0.021592 Loss_G: -0.007458 Loss_D_real: -0.014982 Loss_D_fake 0.006610
[1075/5000][110/535][110817] Loss_D: -0.022189 Loss_G: 0.026517 Loss_D_real: -0.023672 Loss_D_fake -0.001482
[1075/5000][115/535][110818] Loss_D: -0.022390 Loss_G: 0.005367 Loss_D_real: -0.016431 Loss_D_fake 0.005960
[1075/5000][120/535][110819] Loss_D: -0.021370 Loss_G: 0.023929 Loss_D_real: -0.023495 Loss_D_fake -0.002125
[1075/5000][125/535][110820] Loss_D: -0.021038 Loss_G: 0.024745 Loss_D_real: -0.026574 Loss_D_fake -0.005536
[1075/5000][130/535][110821] Loss_D: -0.021855 Loss_G: 0.008616 Loss_D_real: -0.012320 Loss_D_fake 0.009534
[1075/5000][135/535][110822] Loss_D: -0.021948 Loss_G: 0.023805 Loss_D_real: -0.029483 Loss_D_fake -0.007535
[1075/5000][140/535][110823] Loss_D: -0.022822 Loss_G: 0.007865 Loss_D_real: -0.032685 Loss_D_fake -0.009863
[1075/5000][145/535][110824] Loss_D: -0.022653 Loss_G: -0.013017 Loss_D_real: 0.000553 Loss_D_fake 0.023206
[1075/5000][150/535][110825] Loss_D: -0.021341 Loss_G: 0.020513 Loss_D_real: -0.026279 Loss_D_fake -0.004938
[1075/5000][155/535][110826] Loss_D: -0.022192 Loss_G: -0.013438 Loss_D_real: -0.006318 Loss_D_fake 0.015874
[1075/5000][160/535][110827] Loss_D: -0.021818 Loss_G: -0.007271 Loss_D_real: -0.006439 Loss_D_fake 0.015379
[1075/5000][165/535][110828] Loss_D: -0.023844 Loss_G: 0.013463 Loss_D_real: -0.010348 Loss_D_fake 0.013496
[1075/5000][170/535][110829] Loss_D: -0.022659 Loss_G: 0.010456 Loss_D_real: -0.011853 Loss_D_fake 0.010806
[1075/5000][175/535][110830] Loss_D: -0.021909 Loss_G: 0.034294 Loss_D_real: -0.040788 Loss_D_fake -0.018879
[1075/5000][180/535][110831] Loss_D: -0.020964 Loss_G: 0.016059 Loss_D_real: -0.025049 Loss_D_fake -0.004086
[1075/5000][185/535][110832] Loss_D: -0.023770 Loss_G: 0.018046 Loss_D_real: -0.025448 Loss_D_fake -0.001678
[1075/5000][190/535][110833] Loss_D: -0.021734 Loss_G: -0.008799 Loss_D_real: -0.017982 Loss_D_fake 0.003752
[1075/5000][195/535][110834] Loss_D: -0.022053 Loss_G: 0.012545 Loss_D_real: -0.029177 Loss_D_fake -0.007124
[1075/5000][200/535][110835] Loss_D: -0.022728 Loss_G: 0.004424 Loss_D_real: -0.009273 Loss_D_fake 0.013455
[1075/5000][205/535][110836] Loss_D: -0.021936 Loss_G: 0.012176 Loss_D_real: -0.024261 Loss_D_fake -0.002325
[1075/5000][210/535][110837] Loss_D: -0.020443 Loss_G: -0.010177 Loss_D_real: -0.006809 Loss_D_fake 0.013634
[1075/5000][215/535][110838] Loss_D: -0.022225 Loss_G: 0.009118 Loss_D_real: -0.012867 Loss_D_fake 0.009358
[1075/5000][220/535][110839] Loss_D: -0.020186 Loss_G: -0.000464 Loss_D_real: -0.017170 Loss_D_fake 0.003016
[1075/5000][225/535][110840] Loss_D: -0.020748 Loss_G: -0.005358 Loss_D_real: 0.002963 Loss_D_fake 0.023711
[1075/5000][230/535][110841] Loss_D: -0.020997 Loss_G: 0.006611 Loss_D_real: -0.028661 Loss_D_fake -0.007664
[1075/5000][235/535][110842] Loss_D: -0.020679 Loss_G: 0.013208 Loss_D_real: -0.025747 Loss_D_fake -0.005068
[1075/5000][240/535][110843] Loss_D: -0.020915 Loss_G: 0.003532 Loss_D_real: -0.020959 Loss_D_fake -0.000044
[1075/5000][245/535][110844] Loss_D: -0.020881 Loss_G: 0.027356 Loss_D_real: -0.028594 Loss_D_fake -0.007713
[1075/5000][250/535][110845] Loss_D: -0.022097 Loss_G: 0.007129 Loss_D_real: -0.013957 Loss_D_fake 0.008140
[1075/5000][255/535][110846] Loss_D: -0.021798 Loss_G: -0.004168 Loss_D_real: -0.010130 Loss_D_fake 0.011669
[1075/5000][260/535][110847] Loss_D: -0.022180 Loss_G: 0.010742 Loss_D_real: -0.026241 Loss_D_fake -0.004060
[1075/5000][265/535][110848] Loss_D: -0.020740 Loss_G: -0.009349 Loss_D_real: 0.003486 Loss_D_fake 0.024226
[1075/5000][270/535][110849] Loss_D: -0.021590 Loss_G: 0.005095 Loss_D_real: -0.013500 Loss_D_fake 0.008089
[1075/5000][275/535][110850] Loss_D: -0.021764 Loss_G: 0.010914 Loss_D_real: -0.023422 Loss_D_fake -0.001657
[1075/5000][280/535][110851] Loss_D: -0.020978 Loss_G: 0.003801 Loss_D_real: -0.006898 Loss_D_fake 0.014080
[1075/5000][285/535][110852] Loss_D: -0.022291 Loss_G: 0.019859 Loss_D_real: -0.015776 Loss_D_fake 0.006515
[1075/5000][290/535][110853] Loss_D: -0.022162 Loss_G: 0.021872 Loss_D_real: -0.018329 Loss_D_fake 0.003834
[1075/5000][295/535][110854] Loss_D: -0.022256 Loss_G: 0.010837 Loss_D_real: -0.023219 Loss_D_fake -0.000963
[1075/5000][300/535][110855] Loss_D: -0.021757 Loss_G: 0.019578 Loss_D_real: -0.029112 Loss_D_fake -0.007355
[1075/5000][305/535][110856] Loss_D: -0.020570 Loss_G: -0.013698 Loss_D_real: 0.004074 Loss_D_fake 0.024644
[1075/5000][310/535][110857] Loss_D: -0.022332 Loss_G: 0.011326 Loss_D_real: -0.027595 Loss_D_fake -0.005264
[1075/5000][315/535][110858] Loss_D: -0.024093 Loss_G: 0.006739 Loss_D_real: -0.011370 Loss_D_fake 0.012722
[1075/5000][320/535][110859] Loss_D: -0.022605 Loss_G: 0.015040 Loss_D_real: -0.022906 Loss_D_fake -0.000301
[1075/5000][325/535][110860] Loss_D: -0.024580 Loss_G: 0.010065 Loss_D_real: -0.020406 Loss_D_fake 0.004174
[1075/5000][330/535][110861] Loss_D: -0.023914 Loss_G: 0.003484 Loss_D_real: -0.020701 Loss_D_fake 0.003213
[1075/5000][335/535][110862] Loss_D: -0.021460 Loss_G: -0.020214 Loss_D_real: -0.000949 Loss_D_fake 0.020511
[1075/5000][340/535][110863] Loss_D: -0.022780 Loss_G: 0.009503 Loss_D_real: -0.020280 Loss_D_fake 0.002500
[1075/5000][345/535][110864] Loss_D: -0.022069 Loss_G: 0.026327 Loss_D_real: -0.029459 Loss_D_fake -0.007390
[1075/5000][350/535][110865] Loss_D: -0.022753 Loss_G: 0.005960 Loss_D_real: -0.022566 Loss_D_fake 0.000187
[1075/5000][355/535][110866] Loss_D: -0.021170 Loss_G: 0.020319 Loss_D_real: -0.023390 Loss_D_fake -0.002220
[1075/5000][360/535][110867] Loss_D: -0.021336 Loss_G: -0.002571 Loss_D_real: -0.005552 Loss_D_fake 0.015784
[1075/5000][365/535][110868] Loss_D: -0.021877 Loss_G: 0.001117 Loss_D_real: -0.033588 Loss_D_fake -0.011711
[1075/5000][370/535][110869] Loss_D: -0.020946 Loss_G: 0.016088 Loss_D_real: -0.022067 Loss_D_fake -0.001121
[1075/5000][375/535][110870] Loss_D: -0.022627 Loss_G: 0.000826 Loss_D_real: -0.011718 Loss_D_fake 0.010909
[1075/5000][380/535][110871] Loss_D: -0.022337 Loss_G: 0.002849 Loss_D_real: -0.019540 Loss_D_fake 0.002797
[1075/5000][385/535][110872] Loss_D: -0.021851 Loss_G: 0.005236 Loss_D_real: -0.023260 Loss_D_fake -0.001409
[1075/5000][390/535][110873] Loss_D: -0.023334 Loss_G: 0.010838 Loss_D_real: -0.014299 Loss_D_fake 0.009035
[1075/5000][395/535][110874] Loss_D: -0.022396 Loss_G: 0.008635 Loss_D_real: -0.021339 Loss_D_fake 0.001057
[1075/5000][400/535][110875] Loss_D: -0.022299 Loss_G: 0.015442 Loss_D_real: -0.023453 Loss_D_fake -0.001154
[1075/5000][405/535][110876] Loss_D: -0.021928 Loss_G: 0.012183 Loss_D_real: -0.023459 Loss_D_fake -0.001531
[1075/5000][410/535][110877] Loss_D: -0.021371 Loss_G: 0.015686 Loss_D_real: -0.014418 Loss_D_fake 0.006953
[1075/5000][415/535][110878] Loss_D: -0.021877 Loss_G: 0.014343 Loss_D_real: -0.027853 Loss_D_fake -0.005976
[1075/5000][420/535][110879] Loss_D: -0.020857 Loss_G: -0.011623 Loss_D_real: 0.006807 Loss_D_fake 0.027664
[1075/5000][425/535][110880] Loss_D: -0.020806 Loss_G: 0.027760 Loss_D_real: -0.024803 Loss_D_fake -0.003996
[1075/5000][430/535][110881] Loss_D: -0.020524 Loss_G: 0.025718 Loss_D_real: -0.020282 Loss_D_fake 0.000242
[1075/5000][435/535][110882] Loss_D: -0.021280 Loss_G: 0.004845 Loss_D_real: -0.021689 Loss_D_fake -0.000409
[1075/5000][440/535][110883] Loss_D: -0.019724 Loss_G: 0.028063 Loss_D_real: -0.030024 Loss_D_fake -0.010299
[1075/5000][445/535][110884] Loss_D: -0.021525 Loss_G: 0.001071 Loss_D_real: -0.004748 Loss_D_fake 0.016776
[1075/5000][450/535][110885] Loss_D: -0.022219 Loss_G: -0.004680 Loss_D_real: -0.013674 Loss_D_fake 0.008545
[1075/5000][455/535][110886] Loss_D: -0.021602 Loss_G: 0.005881 Loss_D_real: -0.003741 Loss_D_fake 0.017861
[1075/5000][460/535][110887] Loss_D: -0.020728 Loss_G: -0.013144 Loss_D_real: 0.000474 Loss_D_fake 0.021203
[1075/5000][465/535][110888] Loss_D: -0.022097 Loss_G: 0.015199 Loss_D_real: -0.029032 Loss_D_fake -0.006935
[1075/5000][470/535][110889] Loss_D: -0.020724 Loss_G: 0.006477 Loss_D_real: -0.015002 Loss_D_fake 0.005722
[1075/5000][475/535][110890] Loss_D: -0.021264 Loss_G: 0.011530 Loss_D_real: -0.032958 Loss_D_fake -0.011695
[1075/5000][480/535][110891] Loss_D: -0.021242 Loss_G: 0.021940 Loss_D_real: -0.026524 Loss_D_fake -0.005282
[1075/5000][485/535][110892] Loss_D: -0.022011 Loss_G: 0.005781 Loss_D_real: -0.013138 Loss_D_fake 0.008873
[1075/5000][490/535][110893] Loss_D: -0.021514 Loss_G: 0.009408 Loss_D_real: -0.027760 Loss_D_fake -0.006246
[1075/5000][495/535][110894] Loss_D: -0.022690 Loss_G: -0.012517 Loss_D_real: -0.008101 Loss_D_fake 0.014589
[1075/5000][500/535][110895] Loss_D: -0.021422 Loss_G: 0.027406 Loss_D_real: -0.026279 Loss_D_fake -0.004857
[1075/5000][505/535][110896] Loss_D: -0.022631 Loss_G: -0.004339 Loss_D_real: -0.009185 Loss_D_fake 0.013446
[1075/5000][510/535][110897] Loss_D: -0.023831 Loss_G: 0.006830 Loss_D_real: -0.014628 Loss_D_fake 0.009203
[1075/5000][515/535][110898] Loss_D: -0.023525 Loss_G: 0.021987 Loss_D_real: -0.024829 Loss_D_fake -0.001304
[1075/5000][520/535][110899] Loss_D: -0.021728 Loss_G: 0.020337 Loss_D_real: -0.014399 Loss_D_fake 0.007329
[1075/5000][525/535][110900] Loss_D: -0.021698 Loss_G: 0.015637 Loss_D_real: -0.017766 Loss_D_fake 0.003932
[1075/5000][530/535][110901] Loss_D: -0.022002 Loss_G: -0.005314 Loss_D_real: -0.008928 Loss_D_fake 0.013074
[1075/5000][535/535][110902] Loss_D: -0.021526 Loss_G: -0.001742 Loss_D_real: -0.020755 Loss_D_fake 0.000771
[1076/5000][5/535][110903] Loss_D: -0.022615 Loss_G: 0.003978 Loss_D_real: -0.006744 Loss_D_fake 0.015872
[1076/5000][10/535][110904] Loss_D: -0.022965 Loss_G: 0.015364 Loss_D_real: -0.013641 Loss_D_fake 0.009324
[1076/5000][15/535][110905] Loss_D: -0.023230 Loss_G: -0.007124 Loss_D_real: -0.004281 Loss_D_fake 0.018949
[1076/5000][20/535][110906] Loss_D: -0.022036 Loss_G: 0.011126 Loss_D_real: -0.019011 Loss_D_fake 0.003025
[1076/5000][25/535][110907] Loss_D: -0.023334 Loss_G: 0.024526 Loss_D_real: -0.013050 Loss_D_fake 0.010284
[1076/5000][30/535][110908] Loss_D: -0.022105 Loss_G: -0.011783 Loss_D_real: -0.011289 Loss_D_fake 0.010816
[1076/5000][35/535][110909] Loss_D: -0.021777 Loss_G: -0.007035 Loss_D_real: -0.013836 Loss_D_fake 0.007941
[1076/5000][40/535][110910] Loss_D: -0.022152 Loss_G: 0.008188 Loss_D_real: -0.022603 Loss_D_fake -0.000451
[1076/5000][45/535][110911] Loss_D: -0.022518 Loss_G: -0.001204 Loss_D_real: -0.010484 Loss_D_fake 0.012034
[1076/5000][50/535][110912] Loss_D: -0.021083 Loss_G: 0.007885 Loss_D_real: -0.011716 Loss_D_fake 0.009366
[1076/5000][55/535][110913] Loss_D: -0.023051 Loss_G: 0.005770 Loss_D_real: -0.012309 Loss_D_fake 0.010742
[1076/5000][60/535][110914] Loss_D: -0.019309 Loss_G: -0.016681 Loss_D_real: 0.008328 Loss_D_fake 0.027637
[1076/5000][65/535][110915] Loss_D: -0.020782 Loss_G: 0.015751 Loss_D_real: -0.019229 Loss_D_fake 0.001553
[1076/5000][70/535][110916] Loss_D: -0.022275 Loss_G: 0.000358 Loss_D_real: -0.004873 Loss_D_fake 0.017402
[1076/5000][75/535][110917] Loss_D: -0.019499 Loss_G: 0.030250 Loss_D_real: -0.031606 Loss_D_fake -0.012107
[1076/5000][80/535][110918] Loss_D: -0.020476 Loss_G: 0.017910 Loss_D_real: -0.023748 Loss_D_fake -0.003272
[1076/5000][85/535][110919] Loss_D: -0.020639 Loss_G: 0.018487 Loss_D_real: -0.025920 Loss_D_fake -0.005281
[1076/5000][90/535][110920] Loss_D: -0.021407 Loss_G: 0.006046 Loss_D_real: -0.018659 Loss_D_fake 0.002748
[1076/5000][95/535][110921] Loss_D: -0.022700 Loss_G: 0.014589 Loss_D_real: -0.023587 Loss_D_fake -0.000887
[1076/5000][100/535][110922] Loss_D: -0.021036 Loss_G: 0.013497 Loss_D_real: -0.032843 Loss_D_fake -0.011807
[1076/5000][105/535][110923] Loss_D: -0.020756 Loss_G: 0.017156 Loss_D_real: -0.022678 Loss_D_fake -0.001921
[1076/5000][110/535][110924] Loss_D: -0.021986 Loss_G: 0.012646 Loss_D_real: -0.031312 Loss_D_fake -0.009326
[1076/5000][115/535][110925] Loss_D: -0.021289 Loss_G: 0.031775 Loss_D_real: -0.028264 Loss_D_fake -0.006975
[1076/5000][120/535][110926] Loss_D: -0.023061 Loss_G: 0.000773 Loss_D_real: -0.018879 Loss_D_fake 0.004182
[1076/5000][125/535][110927] Loss_D: -0.022690 Loss_G: 0.008716 Loss_D_real: -0.029751 Loss_D_fake -0.007061
[1076/5000][130/535][110928] Loss_D: -0.023059 Loss_G: 0.005990 Loss_D_real: -0.017279 Loss_D_fake 0.005780
[1076/5000][135/535][110929] Loss_D: -0.021676 Loss_G: 0.026299 Loss_D_real: -0.027267 Loss_D_fake -0.005592
[1076/5000][140/535][110930] Loss_D: -0.020833 Loss_G: 0.011978 Loss_D_real: -0.021306 Loss_D_fake -0.000472
[1076/5000][145/535][110931] Loss_D: -0.022472 Loss_G: 0.006171 Loss_D_real: -0.020088 Loss_D_fake 0.002383
[1076/5000][150/535][110932] Loss_D: -0.021824 Loss_G: 0.010709 Loss_D_real: -0.013270 Loss_D_fake 0.008554
[1076/5000][155/535][110933] Loss_D: -0.022073 Loss_G: 0.011673 Loss_D_real: -0.019273 Loss_D_fake 0.002799
[1076/5000][160/535][110934] Loss_D: -0.022276 Loss_G: 0.013452 Loss_D_real: -0.017929 Loss_D_fake 0.004347
[1076/5000][165/535][110935] Loss_D: -0.020199 Loss_G: -0.009794 Loss_D_real: 0.002121 Loss_D_fake 0.022320
[1076/5000][170/535][110936] Loss_D: -0.020150 Loss_G: 0.001160 Loss_D_real: -0.017675 Loss_D_fake 0.002475
[1076/5000][175/535][110937] Loss_D: -0.022591 Loss_G: 0.008471 Loss_D_real: -0.012557 Loss_D_fake 0.010034
[1076/5000][180/535][110938] Loss_D: -0.022501 Loss_G: -0.002270 Loss_D_real: -0.007013 Loss_D_fake 0.015488
[1076/5000][185/535][110939] Loss_D: -0.021440 Loss_G: 0.015866 Loss_D_real: -0.021547 Loss_D_fake -0.000107
[1076/5000][190/535][110940] Loss_D: -0.022427 Loss_G: 0.011841 Loss_D_real: -0.018789 Loss_D_fake 0.003638
[1076/5000][195/535][110941] Loss_D: -0.022016 Loss_G: 0.022337 Loss_D_real: -0.022880 Loss_D_fake -0.000864
[1076/5000][200/535][110942] Loss_D: -0.021545 Loss_G: -0.014310 Loss_D_real: -0.002766 Loss_D_fake 0.018779
[1076/5000][205/535][110943] Loss_D: -0.021402 Loss_G: -0.002880 Loss_D_real: -0.002865 Loss_D_fake 0.018537
[1076/5000][210/535][110944] Loss_D: -0.021185 Loss_G: 0.021762 Loss_D_real: -0.018707 Loss_D_fake 0.002479
[1076/5000][215/535][110945] Loss_D: -0.023281 Loss_G: 0.002338 Loss_D_real: -0.017345 Loss_D_fake 0.005936
[1076/5000][220/535][110946] Loss_D: -0.021952 Loss_G: 0.001666 Loss_D_real: -0.013853 Loss_D_fake 0.008099
[1076/5000][225/535][110947] Loss_D: -0.022706 Loss_G: 0.008215 Loss_D_real: -0.031776 Loss_D_fake -0.009070
[1076/5000][230/535][110948] Loss_D: -0.021987 Loss_G: -0.010796 Loss_D_real: -0.005786 Loss_D_fake 0.016202
[1076/5000][235/535][110949] Loss_D: -0.021853 Loss_G: 0.016236 Loss_D_real: -0.025774 Loss_D_fake -0.003921
[1076/5000][240/535][110950] Loss_D: -0.023252 Loss_G: -0.007659 Loss_D_real: -0.019983 Loss_D_fake 0.003269
[1076/5000][245/535][110951] Loss_D: -0.023016 Loss_G: 0.010312 Loss_D_real: -0.008556 Loss_D_fake 0.014460
[1076/5000][250/535][110952] Loss_D: -0.023271 Loss_G: 0.011273 Loss_D_real: -0.010019 Loss_D_fake 0.013253
[1076/5000][255/535][110953] Loss_D: -0.021336 Loss_G: 0.021293 Loss_D_real: -0.028697 Loss_D_fake -0.007360
[1076/5000][260/535][110954] Loss_D: -0.022637 Loss_G: -0.003054 Loss_D_real: -0.000036 Loss_D_fake 0.022601
[1076/5000][265/535][110955] Loss_D: -0.022016 Loss_G: 0.002037 Loss_D_real: -0.008940 Loss_D_fake 0.013075
[1076/5000][270/535][110956] Loss_D: -0.022862 Loss_G: 0.021250 Loss_D_real: -0.016682 Loss_D_fake 0.006180
[1076/5000][275/535][110957] Loss_D: -0.022796 Loss_G: 0.001896 Loss_D_real: -0.015658 Loss_D_fake 0.007138
[1076/5000][280/535][110958] Loss_D: -0.021935 Loss_G: 0.019321 Loss_D_real: -0.028191 Loss_D_fake -0.006256
[1076/5000][285/535][110959] Loss_D: -0.021609 Loss_G: 0.008348 Loss_D_real: -0.021071 Loss_D_fake 0.000538
[1076/5000][290/535][110960] Loss_D: -0.021237 Loss_G: -0.016960 Loss_D_real: -0.000978 Loss_D_fake 0.020259
[1076/5000][295/535][110961] Loss_D: -0.021870 Loss_G: 0.028776 Loss_D_real: -0.024761 Loss_D_fake -0.002891
[1076/5000][300/535][110962] Loss_D: -0.022605 Loss_G: 0.006423 Loss_D_real: -0.004449 Loss_D_fake 0.018156
[1076/5000][305/535][110963] Loss_D: -0.021589 Loss_G: 0.006875 Loss_D_real: -0.010621 Loss_D_fake 0.010968
[1076/5000][310/535][110964] Loss_D: -0.022408 Loss_G: 0.008799 Loss_D_real: -0.020584 Loss_D_fake 0.001823
[1076/5000][315/535][110965] Loss_D: -0.021788 Loss_G: 0.022813 Loss_D_real: -0.027313 Loss_D_fake -0.005525
[1076/5000][320/535][110966] Loss_D: -0.023761 Loss_G: 0.001386 Loss_D_real: -0.021377 Loss_D_fake 0.002384
[1076/5000][325/535][110967] Loss_D: -0.024019 Loss_G: 0.031506 Loss_D_real: -0.029363 Loss_D_fake -0.005343
[1076/5000][330/535][110968] Loss_D: -0.022415 Loss_G: -0.003453 Loss_D_real: -0.001964 Loss_D_fake 0.020451
[1076/5000][335/535][110969] Loss_D: -0.021448 Loss_G: 0.001213 Loss_D_real: -0.011572 Loss_D_fake 0.009876
[1076/5000][340/535][110970] Loss_D: -0.023375 Loss_G: -0.004633 Loss_D_real: -0.011037 Loss_D_fake 0.012337
[1076/5000][345/535][110971] Loss_D: -0.022687 Loss_G: 0.014482 Loss_D_real: -0.018553 Loss_D_fake 0.004134
[1076/5000][350/535][110972] Loss_D: -0.023068 Loss_G: 0.001926 Loss_D_real: -0.010352 Loss_D_fake 0.012716
[1076/5000][355/535][110973] Loss_D: -0.021188 Loss_G: -0.007776 Loss_D_real: -0.005405 Loss_D_fake 0.015783
[1076/5000][360/535][110974] Loss_D: -0.021209 Loss_G: 0.006772 Loss_D_real: -0.019525 Loss_D_fake 0.001683
[1076/5000][365/535][110975] Loss_D: -0.022671 Loss_G: 0.011100 Loss_D_real: -0.015597 Loss_D_fake 0.007074
[1076/5000][370/535][110976] Loss_D: -0.023528 Loss_G: 0.026857 Loss_D_real: -0.029635 Loss_D_fake -0.006107
[1076/5000][375/535][110977] Loss_D: -0.021094 Loss_G: 0.009273 Loss_D_real: -0.023988 Loss_D_fake -0.002895
[1076/5000][380/535][110978] Loss_D: -0.020479 Loss_G: 0.013644 Loss_D_real: -0.029767 Loss_D_fake -0.009288
[1076/5000][385/535][110979] Loss_D: -0.022595 Loss_G: 0.021282 Loss_D_real: -0.019992 Loss_D_fake 0.002604
[1076/5000][390/535][110980] Loss_D: -0.021832 Loss_G: -0.009165 Loss_D_real: -0.004383 Loss_D_fake 0.017449
[1076/5000][395/535][110981] Loss_D: -0.022791 Loss_G: 0.009828 Loss_D_real: -0.016709 Loss_D_fake 0.006082
[1076/5000][400/535][110982] Loss_D: -0.021770 Loss_G: 0.000690 Loss_D_real: -0.013769 Loss_D_fake 0.008002
[1076/5000][405/535][110983] Loss_D: -0.021215 Loss_G: -0.001686 Loss_D_real: -0.024745 Loss_D_fake -0.003530
[1076/5000][410/535][110984] Loss_D: -0.020691 Loss_G: 0.012297 Loss_D_real: -0.038675 Loss_D_fake -0.017983
[1076/5000][415/535][110985] Loss_D: -0.022051 Loss_G: -0.000875 Loss_D_real: -0.006847 Loss_D_fake 0.015204
[1076/5000][420/535][110986] Loss_D: -0.022112 Loss_G: 0.016110 Loss_D_real: -0.021364 Loss_D_fake 0.000748
[1076/5000][425/535][110987] Loss_D: -0.021711 Loss_G: 0.013628 Loss_D_real: -0.013161 Loss_D_fake 0.008550
[1076/5000][430/535][110988] Loss_D: -0.020883 Loss_G: 0.021229 Loss_D_real: -0.028711 Loss_D_fake -0.007828
[1076/5000][435/535][110989] Loss_D: -0.021900 Loss_G: -0.007429 Loss_D_real: -0.011049 Loss_D_fake 0.010850
[1076/5000][440/535][110990] Loss_D: -0.020895 Loss_G: -0.010030 Loss_D_real: -0.000713 Loss_D_fake 0.020182
[1076/5000][445/535][110991] Loss_D: -0.023114 Loss_G: 0.007952 Loss_D_real: -0.019374 Loss_D_fake 0.003741
[1076/5000][450/535][110992] Loss_D: -0.022323 Loss_G: 0.017711 Loss_D_real: -0.020462 Loss_D_fake 0.001860
[1076/5000][455/535][110993] Loss_D: -0.020817 Loss_G: 0.009260 Loss_D_real: -0.012001 Loss_D_fake 0.008816
[1076/5000][460/535][110994] Loss_D: -0.021283 Loss_G: 0.014539 Loss_D_real: -0.016578 Loss_D_fake 0.004705
[1076/5000][465/535][110995] Loss_D: -0.021549 Loss_G: 0.009681 Loss_D_real: -0.021405 Loss_D_fake 0.000145
[1076/5000][470/535][110996] Loss_D: -0.021839 Loss_G: 0.018453 Loss_D_real: -0.020705 Loss_D_fake 0.001134
[1076/5000][475/535][110997] Loss_D: -0.021492 Loss_G: -0.007204 Loss_D_real: -0.012742 Loss_D_fake 0.008749
[1076/5000][480/535][110998] Loss_D: -0.022077 Loss_G: 0.025771 Loss_D_real: -0.011590 Loss_D_fake 0.010487
[1076/5000][485/535][110999] Loss_D: -0.021577 Loss_G: -0.003525 Loss_D_real: -0.005320 Loss_D_fake 0.016258
[1076/5000][490/535][111000] Loss_D: -0.022165 Loss_G: -0.016906 Loss_D_real: 0.001299 Loss_D_fake 0.023464
[1076/5000][535/535][111001] Loss_D: -0.023187 Loss_G: 0.009018 Loss_D_real: 0.001683 Loss_D_fake 0.024869
[1077/5000][5/535][111002] Loss_D: -0.023331 Loss_G: -0.002382 Loss_D_real: -0.006622 Loss_D_fake 0.016709
[1077/5000][10/535][111003] Loss_D: -0.021084 Loss_G: 0.021465 Loss_D_real: -0.023887 Loss_D_fake -0.002804
[1077/5000][15/535][111004] Loss_D: -0.021782 Loss_G: -0.013099 Loss_D_real: -0.014478 Loss_D_fake 0.007305
[1077/5000][20/535][111005] Loss_D: -0.020295 Loss_G: 0.025631 Loss_D_real: -0.029767 Loss_D_fake -0.009472
[1077/5000][25/535][111006] Loss_D: -0.020337 Loss_G: 0.016627 Loss_D_real: -0.023589 Loss_D_fake -0.003252
[1077/5000][30/535][111007] Loss_D: -0.021463 Loss_G: 0.018594 Loss_D_real: -0.022939 Loss_D_fake -0.001476
[1077/5000][35/535][111008] Loss_D: -0.021210 Loss_G: 0.005515 Loss_D_real: -0.009061 Loss_D_fake 0.012148
[1077/5000][40/535][111009] Loss_D: -0.020732 Loss_G: 0.023109 Loss_D_real: -0.021707 Loss_D_fake -0.000974
[1077/5000][45/535][111010] Loss_D: -0.019948 Loss_G: 0.017514 Loss_D_real: -0.027673 Loss_D_fake -0.007725
[1077/5000][50/535][111011] Loss_D: -0.022242 Loss_G: -0.000659 Loss_D_real: -0.002846 Loss_D_fake 0.019396
[1077/5000][55/535][111012] Loss_D: -0.021538 Loss_G: 0.008914 Loss_D_real: -0.030848 Loss_D_fake -0.009310
[1077/5000][60/535][111013] Loss_D: -0.023553 Loss_G: 0.026999 Loss_D_real: -0.017252 Loss_D_fake 0.006300
[1077/5000][65/535][111014] Loss_D: -0.022590 Loss_G: 0.004037 Loss_D_real: -0.006754 Loss_D_fake 0.015836
[1077/5000][70/535][111015] Loss_D: -0.021767 Loss_G: 0.012955 Loss_D_real: -0.032178 Loss_D_fake -0.010411
[1077/5000][75/535][111016] Loss_D: -0.022989 Loss_G: -0.011623 Loss_D_real: -0.010241 Loss_D_fake 0.012747
[1077/5000][80/535][111017] Loss_D: -0.021679 Loss_G: 0.001767 Loss_D_real: -0.012305 Loss_D_fake 0.009374
[1077/5000][85/535][111018] Loss_D: -0.021941 Loss_G: 0.022251 Loss_D_real: -0.015616 Loss_D_fake 0.006325
[1077/5000][90/535][111019] Loss_D: -0.023837 Loss_G: 0.017104 Loss_D_real: -0.022107 Loss_D_fake 0.001730
[1077/5000][95/535][111020] Loss_D: -0.021704 Loss_G: 0.020915 Loss_D_real: -0.027091 Loss_D_fake -0.005387
[1077/5000][100/535][111021] Loss_D: -0.022875 Loss_G: 0.017836 Loss_D_real: -0.036285 Loss_D_fake -0.013410
[1077/5000][105/535][111022] Loss_D: -0.023445 Loss_G: 0.006758 Loss_D_real: -0.020111 Loss_D_fake 0.003333
[1077/5000][110/535][111023] Loss_D: -0.021268 Loss_G: 0.024830 Loss_D_real: -0.026689 Loss_D_fake -0.005421
[1077/5000][115/535][111024] Loss_D: -0.023572 Loss_G: -0.008913 Loss_D_real: -0.021554 Loss_D_fake 0.002018
[1077/5000][120/535][111025] Loss_D: -0.020420 Loss_G: 0.017765 Loss_D_real: -0.024955 Loss_D_fake -0.004535
[1077/5000][125/535][111026] Loss_D: -0.022247 Loss_G: -0.006574 Loss_D_real: -0.007040 Loss_D_fake 0.015207
[1077/5000][130/535][111027] Loss_D: -0.022117 Loss_G: 0.013528 Loss_D_real: -0.025309 Loss_D_fake -0.003192
[1077/5000][135/535][111028] Loss_D: -0.022016 Loss_G: 0.006505 Loss_D_real: -0.012466 Loss_D_fake 0.009550
[1077/5000][140/535][111029] Loss_D: -0.020343 Loss_G: 0.018554 Loss_D_real: -0.023798 Loss_D_fake -0.003455
[1077/5000][145/535][111030] Loss_D: -0.022511 Loss_G: -0.009454 Loss_D_real: -0.007329 Loss_D_fake 0.015183
[1077/5000][150/535][111031] Loss_D: -0.021920 Loss_G: 0.003624 Loss_D_real: -0.015504 Loss_D_fake 0.006416
[1077/5000][155/535][111032] Loss_D: -0.019765 Loss_G: 0.028482 Loss_D_real: -0.030590 Loss_D_fake -0.010825
[1077/5000][160/535][111033] Loss_D: -0.022201 Loss_G: 0.009255 Loss_D_real: -0.016926 Loss_D_fake 0.005275
[1077/5000][165/535][111034] Loss_D: -0.022112 Loss_G: 0.003951 Loss_D_real: -0.002659 Loss_D_fake 0.019453
[1077/5000][170/535][111035] Loss_D: -0.023711 Loss_G: 0.019906 Loss_D_real: -0.028645 Loss_D_fake -0.004933
[1077/5000][175/535][111036] Loss_D: -0.021468 Loss_G: -0.003528 Loss_D_real: -0.002315 Loss_D_fake 0.019154
[1077/5000][180/535][111037] Loss_D: -0.022046 Loss_G: 0.011063 Loss_D_real: -0.017855 Loss_D_fake 0.004190
[1077/5000][185/535][111038] Loss_D: -0.021173 Loss_G: -0.015247 Loss_D_real: -0.008082 Loss_D_fake 0.013091
[1077/5000][190/535][111039] Loss_D: -0.022612 Loss_G: 0.019642 Loss_D_real: -0.033313 Loss_D_fake -0.010701
[1077/5000][195/535][111040] Loss_D: -0.020948 Loss_G: -0.001709 Loss_D_real: -0.003744 Loss_D_fake 0.017204
[1077/5000][200/535][111041] Loss_D: -0.021293 Loss_G: 0.010373 Loss_D_real: -0.025886 Loss_D_fake -0.004593
[1077/5000][205/535][111042] Loss_D: -0.020940 Loss_G: 0.021774 Loss_D_real: -0.011575 Loss_D_fake 0.009365
[1077/5000][210/535][111043] Loss_D: -0.021039 Loss_G: -0.000577 Loss_D_real: -0.017143 Loss_D_fake 0.003896
[1077/5000][215/535][111044] Loss_D: -0.022168 Loss_G: 0.002125 Loss_D_real: -0.019647 Loss_D_fake 0.002521
[1077/5000][220/535][111045] Loss_D: -0.021827 Loss_G: 0.017523 Loss_D_real: -0.026467 Loss_D_fake -0.004641
[1077/5000][225/535][111046] Loss_D: -0.021732 Loss_G: 0.005928 Loss_D_real: -0.016461 Loss_D_fake 0.005271
[1077/5000][230/535][111047] Loss_D: -0.023779 Loss_G: 0.017944 Loss_D_real: -0.021324 Loss_D_fake 0.002454
[1077/5000][235/535][111048] Loss_D: -0.022178 Loss_G: 0.008913 Loss_D_real: -0.022651 Loss_D_fake -0.000473
[1077/5000][240/535][111049] Loss_D: -0.022667 Loss_G: 0.012692 Loss_D_real: -0.021545 Loss_D_fake 0.001121
[1077/5000][245/535][111050] Loss_D: -0.022791 Loss_G: -0.004010 Loss_D_real: -0.018012 Loss_D_fake 0.004779
[1077/5000][250/535][111051] Loss_D: -0.022013 Loss_G: 0.010321 Loss_D_real: -0.025215 Loss_D_fake -0.003202
[1077/5000][255/535][111052] Loss_D: -0.022191 Loss_G: 0.016617 Loss_D_real: -0.023249 Loss_D_fake -0.001058
[1077/5000][260/535][111053] Loss_D: -0.022202 Loss_G: 0.011208 Loss_D_real: -0.012302 Loss_D_fake 0.009900
[1077/5000][265/535][111054] Loss_D: -0.021662 Loss_G: -0.011673 Loss_D_real: -0.004690 Loss_D_fake 0.016972
[1077/5000][270/535][111055] Loss_D: -0.021066 Loss_G: 0.009644 Loss_D_real: -0.019240 Loss_D_fake 0.001827
[1077/5000][275/535][111056] Loss_D: -0.022716 Loss_G: 0.010100 Loss_D_real: -0.020092 Loss_D_fake 0.002624
[1077/5000][280/535][111057] Loss_D: -0.021792 Loss_G: 0.003597 Loss_D_real: -0.010689 Loss_D_fake 0.011103
[1077/5000][285/535][111058] Loss_D: -0.022689 Loss_G: 0.011280 Loss_D_real: -0.023422 Loss_D_fake -0.000734
[1077/5000][290/535][111059] Loss_D: -0.020256 Loss_G: 0.030427 Loss_D_real: -0.035483 Loss_D_fake -0.015227
[1077/5000][295/535][111060] Loss_D: -0.021460 Loss_G: 0.009472 Loss_D_real: -0.026262 Loss_D_fake -0.004803
[1077/5000][300/535][111061] Loss_D: -0.020957 Loss_G: -0.010057 Loss_D_real: -0.017680 Loss_D_fake 0.003277
[1077/5000][305/535][111062] Loss_D: -0.021928 Loss_G: 0.009461 Loss_D_real: -0.025910 Loss_D_fake -0.003982
[1077/5000][310/535][111063] Loss_D: -0.022118 Loss_G: -0.000866 Loss_D_real: -0.005161 Loss_D_fake 0.016957
[1077/5000][315/535][111064] Loss_D: -0.021493 Loss_G: 0.019946 Loss_D_real: -0.034024 Loss_D_fake -0.012531
[1077/5000][320/535][111065] Loss_D: -0.022095 Loss_G: 0.019873 Loss_D_real: -0.023866 Loss_D_fake -0.001771
[1077/5000][325/535][111066] Loss_D: -0.020733 Loss_G: 0.008209 Loss_D_real: -0.009014 Loss_D_fake 0.011719
[1077/5000][330/535][111067] Loss_D: -0.022559 Loss_G: 0.024413 Loss_D_real: -0.027847 Loss_D_fake -0.005288
[1077/5000][335/535][111068] Loss_D: -0.023803 Loss_G: 0.005893 Loss_D_real: -0.007552 Loss_D_fake 0.016252
[1077/5000][340/535][111069] Loss_D: -0.023021 Loss_G: 0.016678 Loss_D_real: -0.030329 Loss_D_fake -0.007307
[1077/5000][345/535][111070] Loss_D: -0.021295 Loss_G: -0.012585 Loss_D_real: 0.000563 Loss_D_fake 0.021858
[1077/5000][350/535][111071] Loss_D: -0.022160 Loss_G: 0.027000 Loss_D_real: -0.020389 Loss_D_fake 0.001771
[1077/5000][355/535][111072] Loss_D: -0.023227 Loss_G: -0.001486 Loss_D_real: -0.022837 Loss_D_fake 0.000390
[1077/5000][360/535][111073] Loss_D: -0.021912 Loss_G: -0.007806 Loss_D_real: -0.001039 Loss_D_fake 0.020873
[1077/5000][365/535][111074] Loss_D: -0.021913 Loss_G: 0.008197 Loss_D_real: -0.010853 Loss_D_fake 0.011060
[1077/5000][370/535][111075] Loss_D: -0.019712 Loss_G: 0.007603 Loss_D_real: -0.022488 Loss_D_fake -0.002777
[1077/5000][375/535][111076] Loss_D: -0.020377 Loss_G: 0.028056 Loss_D_real: -0.028951 Loss_D_fake -0.008574
[1077/5000][380/535][111077] Loss_D: -0.021510 Loss_G: 0.018513 Loss_D_real: -0.020149 Loss_D_fake 0.001361
[1077/5000][385/535][111078] Loss_D: -0.020805 Loss_G: -0.011654 Loss_D_real: -0.002288 Loss_D_fake 0.018517
[1077/5000][390/535][111079] Loss_D: -0.021852 Loss_G: 0.007900 Loss_D_real: -0.012914 Loss_D_fake 0.008938
[1077/5000][395/535][111080] Loss_D: -0.020705 Loss_G: -0.009631 Loss_D_real: -0.004582 Loss_D_fake 0.016123
[1077/5000][400/535][111081] Loss_D: -0.020938 Loss_G: 0.000332 Loss_D_real: -0.030832 Loss_D_fake -0.009894
[1077/5000][405/535][111082] Loss_D: -0.022360 Loss_G: -0.013935 Loss_D_real: -0.011153 Loss_D_fake 0.011207
[1077/5000][410/535][111083] Loss_D: -0.023154 Loss_G: 0.024752 Loss_D_real: -0.020368 Loss_D_fake 0.002787
[1077/5000][415/535][111084] Loss_D: -0.020982 Loss_G: 0.013996 Loss_D_real: -0.015770 Loss_D_fake 0.005212
[1077/5000][420/535][111085] Loss_D: -0.021662 Loss_G: -0.001452 Loss_D_real: -0.017837 Loss_D_fake 0.003825
[1077/5000][425/535][111086] Loss_D: -0.020659 Loss_G: 0.026837 Loss_D_real: -0.036004 Loss_D_fake -0.015345
[1077/5000][430/535][111087] Loss_D: -0.021990 Loss_G: -0.005610 Loss_D_real: -0.004933 Loss_D_fake 0.017057
[1077/5000][435/535][111088] Loss_D: -0.022577 Loss_G: 0.008104 Loss_D_real: -0.018589 Loss_D_fake 0.003987
[1077/5000][440/535][111089] Loss_D: -0.023090 Loss_G: 0.021127 Loss_D_real: -0.021118 Loss_D_fake 0.001972
[1077/5000][445/535][111090] Loss_D: -0.022329 Loss_G: -0.007044 Loss_D_real: -0.012527 Loss_D_fake 0.009802
[1077/5000][450/535][111091] Loss_D: -0.021422 Loss_G: 0.023046 Loss_D_real: -0.032060 Loss_D_fake -0.010638
[1077/5000][455/535][111092] Loss_D: -0.022117 Loss_G: 0.002315 Loss_D_real: -0.025390 Loss_D_fake -0.003273
[1077/5000][460/535][111093] Loss_D: -0.023209 Loss_G: 0.004119 Loss_D_real: -0.014679 Loss_D_fake 0.008530
[1077/5000][465/535][111094] Loss_D: -0.023092 Loss_G: 0.028336 Loss_D_real: -0.028294 Loss_D_fake -0.005202
[1077/5000][470/535][111095] Loss_D: -0.022872 Loss_G: -0.001435 Loss_D_real: -0.020017 Loss_D_fake 0.002855
[1077/5000][475/535][111096] Loss_D: -0.022625 Loss_G: 0.027889 Loss_D_real: -0.026324 Loss_D_fake -0.003699
[1077/5000][480/535][111097] Loss_D: -0.021624 Loss_G: -0.003009 Loss_D_real: -0.010968 Loss_D_fake 0.010656
[1077/5000][485/535][111098] Loss_D: -0.021502 Loss_G: -0.002843 Loss_D_real: -0.013180 Loss_D_fake 0.008322
[1077/5000][490/535][111099] Loss_D: -0.021697 Loss_G: 0.020330 Loss_D_real: -0.036673 Loss_D_fake -0.014976
[1077/5000][495/535][111100] Loss_D: -0.021985 Loss_G: -0.002356 Loss_D_real: -0.012460 Loss_D_fake 0.009525
[1077/5000][500/535][111101] Loss_D: -0.021213 Loss_G: 0.014115 Loss_D_real: -0.021527 Loss_D_fake -0.000314
[1077/5000][505/535][111102] Loss_D: -0.021552 Loss_G: -0.003876 Loss_D_real: -0.016646 Loss_D_fake 0.004906
[1077/5000][510/535][111103] Loss_D: -0.023589 Loss_G: 0.016824 Loss_D_real: -0.024118 Loss_D_fake -0.000529
[1077/5000][515/535][111104] Loss_D: -0.023070 Loss_G: -0.011103 Loss_D_real: -0.001976 Loss_D_fake 0.021094
[1077/5000][520/535][111105] Loss_D: -0.021961 Loss_G: 0.005206 Loss_D_real: -0.017478 Loss_D_fake 0.004484
[1077/5000][525/535][111106] Loss_D: -0.023008 Loss_G: 0.017206 Loss_D_real: -0.023568 Loss_D_fake -0.000560
[1077/5000][530/535][111107] Loss_D: -0.021373 Loss_G: -0.016686 Loss_D_real: -0.006293 Loss_D_fake 0.015080
[1077/5000][535/535][111108] Loss_D: -0.024564 Loss_G: 0.044953 Loss_D_real: -0.023571 Loss_D_fake 0.000992
[1078/5000][5/535][111109] Loss_D: -0.022743 Loss_G: 0.016194 Loss_D_real: -0.025758 Loss_D_fake -0.003014
[1078/5000][10/535][111110] Loss_D: -0.022251 Loss_G: 0.001495 Loss_D_real: -0.010437 Loss_D_fake 0.011814
[1078/5000][15/535][111111] Loss_D: -0.022752 Loss_G: -0.002337 Loss_D_real: -0.010906 Loss_D_fake 0.011847
[1078/5000][20/535][111112] Loss_D: -0.022753 Loss_G: 0.018922 Loss_D_real: -0.019227 Loss_D_fake 0.003526
[1078/5000][25/535][111113] Loss_D: -0.019378 Loss_G: -0.011104 Loss_D_real: -0.002673 Loss_D_fake 0.016705
[1078/5000][30/535][111114] Loss_D: -0.021029 Loss_G: 0.014864 Loss_D_real: -0.028468 Loss_D_fake -0.007439
[1078/5000][35/535][111115] Loss_D: -0.021544 Loss_G: 0.003581 Loss_D_real: -0.026918 Loss_D_fake -0.005373
[1078/5000][40/535][111116] Loss_D: -0.021485 Loss_G: 0.002802 Loss_D_real: -0.022458 Loss_D_fake -0.000974
[1078/5000][45/535][111117] Loss_D: -0.021834 Loss_G: -0.016672 Loss_D_real: -0.002988 Loss_D_fake 0.018846
[1078/5000][50/535][111118] Loss_D: -0.021858 Loss_G: -0.001734 Loss_D_real: -0.021981 Loss_D_fake -0.000123
[1078/5000][55/535][111119] Loss_D: -0.022436 Loss_G: 0.008301 Loss_D_real: -0.009589 Loss_D_fake 0.012847
[1078/5000][60/535][111120] Loss_D: -0.020963 Loss_G: -0.009472 Loss_D_real: -0.004787 Loss_D_fake 0.016176
[1078/5000][65/535][111121] Loss_D: -0.022151 Loss_G: 0.001073 Loss_D_real: -0.012431 Loss_D_fake 0.009720
[1078/5000][70/535][111122] Loss_D: -0.021672 Loss_G: 0.031325 Loss_D_real: -0.022762 Loss_D_fake -0.001090
[1078/5000][75/535][111123] Loss_D: -0.022257 Loss_G: 0.003900 Loss_D_real: -0.011437 Loss_D_fake 0.010820
[1078/5000][80/535][111124] Loss_D: -0.022620 Loss_G: 0.005269 Loss_D_real: -0.009701 Loss_D_fake 0.012919
[1078/5000][85/535][111125] Loss_D: -0.021888 Loss_G: 0.004305 Loss_D_real: -0.014384 Loss_D_fake 0.007504
[1078/5000][90/535][111126] Loss_D: -0.021029 Loss_G: -0.000402 Loss_D_real: 0.001997 Loss_D_fake 0.023027
[1078/5000][95/535][111127] Loss_D: -0.019458 Loss_G: -0.007887 Loss_D_real: -0.002857 Loss_D_fake 0.016601
[1078/5000][100/535][111128] Loss_D: -0.022317 Loss_G: 0.013696 Loss_D_real: -0.025096 Loss_D_fake -0.002779
[1078/5000][105/535][111129] Loss_D: -0.022658 Loss_G: 0.016195 Loss_D_real: -0.024189 Loss_D_fake -0.001532
[1078/5000][110/535][111130] Loss_D: -0.022182 Loss_G: 0.024591 Loss_D_real: -0.015131 Loss_D_fake 0.007051
[1078/5000][115/535][111131] Loss_D: -0.021836 Loss_G: -0.015819 Loss_D_real: -0.001666 Loss_D_fake 0.020170
[1078/5000][120/535][111132] Loss_D: -0.020713 Loss_G: -0.023698 Loss_D_real: 0.002387 Loss_D_fake 0.023100
[1078/5000][125/535][111133] Loss_D: -0.022250 Loss_G: 0.000881 Loss_D_real: -0.018851 Loss_D_fake 0.003399
[1078/5000][130/535][111134] Loss_D: -0.022084 Loss_G: 0.014063 Loss_D_real: -0.017788 Loss_D_fake 0.004297
[1078/5000][135/535][111135] Loss_D: -0.021068 Loss_G: 0.008190 Loss_D_real: -0.025683 Loss_D_fake -0.004615
[1078/5000][140/535][111136] Loss_D: -0.022555 Loss_G: -0.001662 Loss_D_real: -0.006482 Loss_D_fake 0.016072
[1078/5000][145/535][111137] Loss_D: -0.021111 Loss_G: 0.000289 Loss_D_real: -0.015327 Loss_D_fake 0.005784
[1078/5000][150/535][111138] Loss_D: -0.019833 Loss_G: 0.026360 Loss_D_real: -0.037071 Loss_D_fake -0.017237
[1078/5000][155/535][111139] Loss_D: -0.021844 Loss_G: 0.019607 Loss_D_real: -0.026025 Loss_D_fake -0.004181
[1078/5000][160/535][111140] Loss_D: -0.021793 Loss_G: 0.010539 Loss_D_real: -0.027476 Loss_D_fake -0.005683
[1078/5000][165/535][111141] Loss_D: -0.021637 Loss_G: 0.000847 Loss_D_real: -0.011102 Loss_D_fake 0.010535
[1078/5000][170/535][111142] Loss_D: -0.022636 Loss_G: 0.005087 Loss_D_real: -0.015032 Loss_D_fake 0.007604
[1078/5000][175/535][111143] Loss_D: -0.021112 Loss_G: 0.015734 Loss_D_real: -0.028136 Loss_D_fake -0.007024
[1078/5000][180/535][111144] Loss_D: -0.021738 Loss_G: 0.027099 Loss_D_real: -0.030391 Loss_D_fake -0.008653
[1078/5000][185/535][111145] Loss_D: -0.022160 Loss_G: 0.008198 Loss_D_real: -0.016028 Loss_D_fake 0.006132
[1078/5000][190/535][111146] Loss_D: -0.022816 Loss_G: 0.016249 Loss_D_real: -0.027103 Loss_D_fake -0.004287
[1078/5000][195/535][111147] Loss_D: -0.022698 Loss_G: 0.001926 Loss_D_real: -0.003994 Loss_D_fake 0.018705
[1078/5000][200/535][111148] Loss_D: -0.022037 Loss_G: 0.003703 Loss_D_real: -0.026841 Loss_D_fake -0.004804
[1078/5000][205/535][111149] Loss_D: -0.020280 Loss_G: -0.005867 Loss_D_real: -0.012679 Loss_D_fake 0.007601
[1078/5000][210/535][111150] Loss_D: -0.021726 Loss_G: 0.005407 Loss_D_real: -0.012573 Loss_D_fake 0.009154
[1078/5000][215/535][111151] Loss_D: -0.022766 Loss_G: 0.018940 Loss_D_real: -0.019721 Loss_D_fake 0.003045
[1078/5000][220/535][111152] Loss_D: -0.023356 Loss_G: -0.016918 Loss_D_real: -0.005072 Loss_D_fake 0.018284
[1078/5000][225/535][111153] Loss_D: -0.021801 Loss_G: 0.031106 Loss_D_real: -0.026265 Loss_D_fake -0.004463
[1078/5000][230/535][111154] Loss_D: -0.022933 Loss_G: 0.004148 Loss_D_real: -0.012118 Loss_D_fake 0.010815
[1078/5000][235/535][111155] Loss_D: -0.021600 Loss_G: -0.002655 Loss_D_real: -0.010444 Loss_D_fake 0.011155
[1078/5000][240/535][111156] Loss_D: -0.020566 Loss_G: 0.016719 Loss_D_real: -0.027905 Loss_D_fake -0.007339
[1078/5000][245/535][111157] Loss_D: -0.023222 Loss_G: -0.012755 Loss_D_real: -0.011353 Loss_D_fake 0.011868
[1078/5000][250/535][111158] Loss_D: -0.020162 Loss_G: 0.029204 Loss_D_real: -0.033945 Loss_D_fake -0.013783
[1078/5000][255/535][111159] Loss_D: -0.022826 Loss_G: -0.001310 Loss_D_real: -0.008399 Loss_D_fake 0.014427
[1078/5000][260/535][111160] Loss_D: -0.020335 Loss_G: 0.033599 Loss_D_real: -0.032063 Loss_D_fake -0.011728
[1078/5000][265/535][111161] Loss_D: -0.020103 Loss_G: -0.020096 Loss_D_real: 0.002945 Loss_D_fake 0.023047
[1078/5000][270/535][111162] Loss_D: -0.021338 Loss_G: 0.023775 Loss_D_real: -0.020923 Loss_D_fake 0.000416
[1078/5000][275/535][111163] Loss_D: -0.020716 Loss_G: 0.019871 Loss_D_real: -0.029723 Loss_D_fake -0.009007
[1078/5000][280/535][111164] Loss_D: -0.021762 Loss_G: 0.017530 Loss_D_real: -0.023579 Loss_D_fake -0.001817
[1078/5000][285/535][111165] Loss_D: -0.021888 Loss_G: 0.016239 Loss_D_real: -0.037583 Loss_D_fake -0.015695
[1078/5000][290/535][111166] Loss_D: -0.022913 Loss_G: -0.015583 Loss_D_real: -0.012327 Loss_D_fake 0.010586
[1078/5000][295/535][111167] Loss_D: -0.022491 Loss_G: 0.016738 Loss_D_real: -0.028182 Loss_D_fake -0.005691
[1078/5000][300/535][111168] Loss_D: -0.021616 Loss_G: 0.012233 Loss_D_real: -0.017626 Loss_D_fake 0.003991
[1078/5000][305/535][111169] Loss_D: -0.022782 Loss_G: -0.007143 Loss_D_real: -0.019107 Loss_D_fake 0.003676
[1078/5000][310/535][111170] Loss_D: -0.021663 Loss_G: 0.022744 Loss_D_real: -0.031097 Loss_D_fake -0.009434
[1078/5000][315/535][111171] Loss_D: -0.021693 Loss_G: 0.018026 Loss_D_real: -0.023855 Loss_D_fake -0.002162
[1078/5000][320/535][111172] Loss_D: -0.022412 Loss_G: 0.001211 Loss_D_real: -0.023464 Loss_D_fake -0.001052
[1078/5000][325/535][111173] Loss_D: -0.022647 Loss_G: -0.000503 Loss_D_real: -0.006727 Loss_D_fake 0.015920
[1078/5000][330/535][111174] Loss_D: -0.023164 Loss_G: 0.011708 Loss_D_real: -0.024607 Loss_D_fake -0.001443
[1078/5000][335/535][111175] Loss_D: -0.023020 Loss_G: 0.019240 Loss_D_real: -0.025566 Loss_D_fake -0.002546
[1078/5000][340/535][111176] Loss_D: -0.023079 Loss_G: 0.007422 Loss_D_real: -0.020221 Loss_D_fake 0.002858
[1078/5000][345/535][111177] Loss_D: -0.022142 Loss_G: -0.002779 Loss_D_real: -0.011298 Loss_D_fake 0.010843
[1078/5000][350/535][111178] Loss_D: -0.021305 Loss_G: 0.024076 Loss_D_real: -0.028880 Loss_D_fake -0.007576
[1078/5000][355/535][111179] Loss_D: -0.022063 Loss_G: -0.006060 Loss_D_real: -0.012288 Loss_D_fake 0.009776
[1078/5000][360/535][111180] Loss_D: -0.020820 Loss_G: 0.003295 Loss_D_real: -0.006569 Loss_D_fake 0.014251
[1078/5000][365/535][111181] Loss_D: -0.022462 Loss_G: 0.003364 Loss_D_real: -0.009181 Loss_D_fake 0.013281
[1078/5000][370/535][111182] Loss_D: -0.022530 Loss_G: -0.003020 Loss_D_real: -0.012246 Loss_D_fake 0.010284
[1078/5000][375/535][111183] Loss_D: -0.021452 Loss_G: 0.011614 Loss_D_real: -0.031467 Loss_D_fake -0.010015
[1078/5000][380/535][111184] Loss_D: -0.022042 Loss_G: 0.018650 Loss_D_real: -0.023048 Loss_D_fake -0.001007
[1078/5000][385/535][111185] Loss_D: -0.022555 Loss_G: -0.008024 Loss_D_real: -0.010051 Loss_D_fake 0.012505
[1078/5000][390/535][111186] Loss_D: -0.019964 Loss_G: 0.019973 Loss_D_real: -0.023687 Loss_D_fake -0.003723
[1078/5000][395/535][111187] Loss_D: -0.021414 Loss_G: 0.007889 Loss_D_real: -0.015147 Loss_D_fake 0.006268
[1078/5000][400/535][111188] Loss_D: -0.022089 Loss_G: 0.010071 Loss_D_real: -0.021492 Loss_D_fake 0.000598
[1078/5000][405/535][111189] Loss_D: -0.022631 Loss_G: 0.014453 Loss_D_real: -0.030210 Loss_D_fake -0.007579
[1078/5000][410/535][111190] Loss_D: -0.022253 Loss_G: -0.004720 Loss_D_real: -0.012700 Loss_D_fake 0.009553
[1078/5000][415/535][111191] Loss_D: -0.020863 Loss_G: -0.010746 Loss_D_real: 0.003519 Loss_D_fake 0.024383
[1078/5000][420/535][111192] Loss_D: -0.020302 Loss_G: 0.013705 Loss_D_real: -0.024602 Loss_D_fake -0.004300
[1078/5000][425/535][111193] Loss_D: -0.022937 Loss_G: 0.000795 Loss_D_real: -0.005682 Loss_D_fake 0.017255
[1078/5000][430/535][111194] Loss_D: -0.021534 Loss_G: 0.006270 Loss_D_real: -0.013314 Loss_D_fake 0.008220
[1078/5000][435/535][111195] Loss_D: -0.020050 Loss_G: 0.018766 Loss_D_real: -0.018738 Loss_D_fake 0.001312
[1078/5000][440/535][111196] Loss_D: -0.020242 Loss_G: -0.002414 Loss_D_real: -0.016599 Loss_D_fake 0.003643
[1078/5000][445/535][111197] Loss_D: -0.020605 Loss_G: 0.012404 Loss_D_real: -0.026083 Loss_D_fake -0.005478
[1078/5000][450/535][111198] Loss_D: -0.021083 Loss_G: 0.004608 Loss_D_real: -0.020572 Loss_D_fake 0.000512
[1078/5000][455/535][111199] Loss_D: -0.020482 Loss_G: 0.016242 Loss_D_real: -0.019830 Loss_D_fake 0.000652
[1078/5000][460/535][111200] Loss_D: -0.021365 Loss_G: 0.021348 Loss_D_real: -0.017867 Loss_D_fake 0.003498
[1078/5000][465/535][111201] Loss_D: -0.022255 Loss_G: -0.024675 Loss_D_real: -0.017298 Loss_D_fake 0.004958
[1078/5000][470/535][111202] Loss_D: -0.022011 Loss_G: 0.013765 Loss_D_real: -0.014649 Loss_D_fake 0.007362
[1078/5000][475/535][111203] Loss_D: -0.022207 Loss_G: 0.027856 Loss_D_real: -0.019962 Loss_D_fake 0.002245
[1078/5000][480/535][111204] Loss_D: -0.021749 Loss_G: 0.009641 Loss_D_real: -0.021001 Loss_D_fake 0.000748
[1078/5000][485/535][111205] Loss_D: -0.020719 Loss_G: 0.027399 Loss_D_real: -0.031376 Loss_D_fake -0.010657
[1078/5000][490/535][111206] Loss_D: -0.022723 Loss_G: 0.015525 Loss_D_real: -0.013335 Loss_D_fake 0.009388
[1078/5000][495/535][111207] Loss_D: -0.020989 Loss_G: 0.003666 Loss_D_real: -0.013723 Loss_D_fake 0.007266
[1078/5000][500/535][111208] Loss_D: -0.022362 Loss_G: 0.008733 Loss_D_real: -0.015230 Loss_D_fake 0.007133
[1078/5000][505/535][111209] Loss_D: -0.021667 Loss_G: 0.010784 Loss_D_real: -0.023145 Loss_D_fake -0.001478
[1078/5000][510/535][111210] Loss_D: -0.021725 Loss_G: 0.002059 Loss_D_real: -0.019749 Loss_D_fake 0.001976
[1078/5000][515/535][111211] Loss_D: -0.022827 Loss_G: 0.010403 Loss_D_real: -0.021810 Loss_D_fake 0.001017
[1078/5000][520/535][111212] Loss_D: -0.022860 Loss_G: 0.009096 Loss_D_real: -0.008846 Loss_D_fake 0.014015
[1078/5000][525/535][111213] Loss_D: -0.021757 Loss_G: 0.023809 Loss_D_real: -0.026365 Loss_D_fake -0.004607
[1078/5000][530/535][111214] Loss_D: -0.022754 Loss_G: 0.001043 Loss_D_real: -0.000448 Loss_D_fake 0.022305
[1078/5000][535/535][111215] Loss_D: -0.020545 Loss_G: 0.012920 Loss_D_real: -0.019779 Loss_D_fake 0.000766
[1079/5000][5/535][111216] Loss_D: -0.023749 Loss_G: 0.023155 Loss_D_real: -0.025849 Loss_D_fake -0.002100
[1079/5000][10/535][111217] Loss_D: -0.021237 Loss_G: -0.001003 Loss_D_real: -0.017774 Loss_D_fake 0.003463
[1079/5000][15/535][111218] Loss_D: -0.021979 Loss_G: 0.017850 Loss_D_real: -0.024603 Loss_D_fake -0.002624
[1079/5000][20/535][111219] Loss_D: -0.021334 Loss_G: 0.022284 Loss_D_real: -0.025649 Loss_D_fake -0.004315
[1079/5000][25/535][111220] Loss_D: -0.021869 Loss_G: 0.006509 Loss_D_real: -0.019279 Loss_D_fake 0.002589
[1079/5000][30/535][111221] Loss_D: -0.022712 Loss_G: -0.008712 Loss_D_real: -0.004920 Loss_D_fake 0.017792
[1079/5000][35/535][111222] Loss_D: -0.022150 Loss_G: 0.006680 Loss_D_real: -0.016696 Loss_D_fake 0.005454
[1079/5000][40/535][111223] Loss_D: -0.022370 Loss_G: 0.012285 Loss_D_real: -0.015021 Loss_D_fake 0.007349
[1079/5000][45/535][111224] Loss_D: -0.022339 Loss_G: -0.013927 Loss_D_real: 0.002033 Loss_D_fake 0.024372
[1079/5000][50/535][111225] Loss_D: -0.018932 Loss_G: 0.024446 Loss_D_real: -0.033711 Loss_D_fake -0.014779
[1079/5000][55/535][111226] Loss_D: -0.023178 Loss_G: -0.002583 Loss_D_real: -0.024610 Loss_D_fake -0.001432
[1079/5000][60/535][111227] Loss_D: -0.021213 Loss_G: -0.003593 Loss_D_real: -0.002116 Loss_D_fake 0.019097
[1079/5000][65/535][111228] Loss_D: -0.020313 Loss_G: 0.022353 Loss_D_real: -0.019981 Loss_D_fake 0.000332
[1079/5000][70/535][111229] Loss_D: -0.021690 Loss_G: -0.014346 Loss_D_real: -0.004731 Loss_D_fake 0.016959
[1079/5000][75/535][111230] Loss_D: -0.021389 Loss_G: 0.010102 Loss_D_real: -0.018440 Loss_D_fake 0.002949
[1079/5000][80/535][111231] Loss_D: -0.023239 Loss_G: 0.006759 Loss_D_real: -0.016143 Loss_D_fake 0.007096
[1079/5000][85/535][111232] Loss_D: -0.021330 Loss_G: 0.009879 Loss_D_real: -0.009528 Loss_D_fake 0.011801
[1079/5000][90/535][111233] Loss_D: -0.020498 Loss_G: 0.021501 Loss_D_real: -0.027313 Loss_D_fake -0.006815
[1079/5000][95/535][111234] Loss_D: -0.020329 Loss_G: -0.007005 Loss_D_real: 0.002469 Loss_D_fake 0.022799
[1079/5000][100/535][111235] Loss_D: -0.022191 Loss_G: 0.001540 Loss_D_real: -0.018031 Loss_D_fake 0.004160
[1079/5000][105/535][111236] Loss_D: -0.021475 Loss_G: 0.019483 Loss_D_real: -0.023304 Loss_D_fake -0.001829
[1079/5000][110/535][111237] Loss_D: -0.021067 Loss_G: 0.022378 Loss_D_real: -0.018147 Loss_D_fake 0.002920
[1079/5000][115/535][111238] Loss_D: -0.021061 Loss_G: 0.028731 Loss_D_real: -0.027399 Loss_D_fake -0.006338
[1079/5000][120/535][111239] Loss_D: -0.021802 Loss_G: 0.002264 Loss_D_real: -0.010554 Loss_D_fake 0.011249
[1079/5000][125/535][111240] Loss_D: -0.021803 Loss_G: 0.007101 Loss_D_real: -0.024508 Loss_D_fake -0.002704
[1079/5000][130/535][111241] Loss_D: -0.022568 Loss_G: 0.011496 Loss_D_real: -0.028412 Loss_D_fake -0.005843
[1079/5000][135/535][111242] Loss_D: -0.021762 Loss_G: 0.014570 Loss_D_real: -0.032072 Loss_D_fake -0.010310
[1079/5000][140/535][111243] Loss_D: -0.020700 Loss_G: 0.016880 Loss_D_real: -0.024112 Loss_D_fake -0.003412
[1079/5000][145/535][111244] Loss_D: -0.021550 Loss_G: 0.014083 Loss_D_real: -0.026547 Loss_D_fake -0.004997
[1079/5000][150/535][111245] Loss_D: -0.022632 Loss_G: -0.004157 Loss_D_real: -0.012890 Loss_D_fake 0.009743
[1079/5000][155/535][111246] Loss_D: -0.022528 Loss_G: 0.017334 Loss_D_real: -0.031575 Loss_D_fake -0.009046
[1079/5000][160/535][111247] Loss_D: -0.022148 Loss_G: 0.006457 Loss_D_real: -0.008547 Loss_D_fake 0.013600
[1079/5000][165/535][111248] Loss_D: -0.022944 Loss_G: -0.011388 Loss_D_real: -0.000699 Loss_D_fake 0.022245
[1079/5000][170/535][111249] Loss_D: -0.022321 Loss_G: 0.002513 Loss_D_real: -0.009410 Loss_D_fake 0.012911
[1079/5000][175/535][111250] Loss_D: -0.020256 Loss_G: 0.025661 Loss_D_real: -0.034506 Loss_D_fake -0.014250
[1079/5000][180/535][111251] Loss_D: -0.021804 Loss_G: 0.000599 Loss_D_real: -0.023424 Loss_D_fake -0.001620
[1079/5000][185/535][111252] Loss_D: -0.021488 Loss_G: 0.011244 Loss_D_real: -0.022453 Loss_D_fake -0.000965
[1079/5000][190/535][111253] Loss_D: -0.023123 Loss_G: 0.012494 Loss_D_real: -0.022131 Loss_D_fake 0.000992
[1079/5000][195/535][111254] Loss_D: -0.021423 Loss_G: 0.006704 Loss_D_real: -0.018309 Loss_D_fake 0.003114
[1079/5000][200/535][111255] Loss_D: -0.021018 Loss_G: 0.004464 Loss_D_real: -0.007851 Loss_D_fake 0.013167
[1079/5000][205/535][111256] Loss_D: -0.021724 Loss_G: 0.002508 Loss_D_real: -0.004699 Loss_D_fake 0.017026
[1079/5000][210/535][111257] Loss_D: -0.021825 Loss_G: 0.005152 Loss_D_real: -0.007981 Loss_D_fake 0.013844
[1079/5000][215/535][111258] Loss_D: -0.022966 Loss_G: 0.000805 Loss_D_real: -0.013879 Loss_D_fake 0.009086
[1079/5000][220/535][111259] Loss_D: -0.022931 Loss_G: -0.006849 Loss_D_real: -0.000553 Loss_D_fake 0.022377
[1079/5000][225/535][111260] Loss_D: -0.020581 Loss_G: 0.031949 Loss_D_real: -0.033670 Loss_D_fake -0.013089
[1079/5000][230/535][111261] Loss_D: -0.021927 Loss_G: -0.000004 Loss_D_real: -0.007032 Loss_D_fake 0.014895
[1079/5000][235/535][111262] Loss_D: -0.023822 Loss_G: 0.006274 Loss_D_real: -0.009463 Loss_D_fake 0.014359
[1079/5000][240/535][111263] Loss_D: -0.024427 Loss_G: 0.004943 Loss_D_real: -0.007185 Loss_D_fake 0.017242
[1079/5000][245/535][111264] Loss_D: -0.022270 Loss_G: 0.020773 Loss_D_real: -0.033102 Loss_D_fake -0.010832
[1079/5000][250/535][111265] Loss_D: -0.024603 Loss_G: 0.013812 Loss_D_real: -0.012225 Loss_D_fake 0.012378
[1079/5000][255/535][111266] Loss_D: -0.022896 Loss_G: 0.011952 Loss_D_real: -0.026129 Loss_D_fake -0.003233
[1079/5000][260/535][111267] Loss_D: -0.021946 Loss_G: -0.001806 Loss_D_real: -0.005705 Loss_D_fake 0.016241
[1079/5000][265/535][111268] Loss_D: -0.022198 Loss_G: 0.021847 Loss_D_real: -0.030289 Loss_D_fake -0.008091
[1079/5000][270/535][111269] Loss_D: -0.020955 Loss_G: 0.013187 Loss_D_real: -0.018118 Loss_D_fake 0.002837
[1079/5000][275/535][111270] Loss_D: -0.020477 Loss_G: -0.014779 Loss_D_real: -0.002986 Loss_D_fake 0.017491
[1079/5000][280/535][111271] Loss_D: -0.020836 Loss_G: -0.014836 Loss_D_real: -0.004462 Loss_D_fake 0.016373
[1079/5000][285/535][111272] Loss_D: -0.021473 Loss_G: -0.003181 Loss_D_real: -0.003450 Loss_D_fake 0.018022
[1079/5000][290/535][111273] Loss_D: -0.021303 Loss_G: 0.012831 Loss_D_real: -0.015407 Loss_D_fake 0.005896
[1079/5000][295/535][111274] Loss_D: -0.019438 Loss_G: 0.022655 Loss_D_real: -0.035015 Loss_D_fake -0.015576
[1079/5000][300/535][111275] Loss_D: -0.021925 Loss_G: 0.001094 Loss_D_real: -0.008826 Loss_D_fake 0.013099
[1079/5000][305/535][111276] Loss_D: -0.021672 Loss_G: -0.009465 Loss_D_real: -0.013899 Loss_D_fake 0.007773
[1079/5000][310/535][111277] Loss_D: -0.020958 Loss_G: 0.033235 Loss_D_real: -0.026427 Loss_D_fake -0.005469
[1079/5000][315/535][111278] Loss_D: -0.020094 Loss_G: -0.005351 Loss_D_real: -0.009468 Loss_D_fake 0.010626
[1079/5000][320/535][111279] Loss_D: -0.022000 Loss_G: -0.007087 Loss_D_real: -0.016383 Loss_D_fake 0.005618
[1079/5000][325/535][111280] Loss_D: -0.022370 Loss_G: 0.011490 Loss_D_real: -0.017629 Loss_D_fake 0.004741
[1079/5000][330/535][111281] Loss_D: -0.022629 Loss_G: 0.010418 Loss_D_real: -0.006862 Loss_D_fake 0.015767
[1079/5000][335/535][111282] Loss_D: -0.021770 Loss_G: -0.002915 Loss_D_real: -0.004558 Loss_D_fake 0.017212
[1079/5000][340/535][111283] Loss_D: -0.024637 Loss_G: -0.002079 Loss_D_real: -0.025469 Loss_D_fake -0.000832
[1079/5000][345/535][111284] Loss_D: -0.021331 Loss_G: 0.024537 Loss_D_real: -0.028894 Loss_D_fake -0.007563
[1079/5000][350/535][111285] Loss_D: -0.023620 Loss_G: -0.005977 Loss_D_real: -0.017654 Loss_D_fake 0.005966
[1079/5000][355/535][111286] Loss_D: -0.022181 Loss_G: 0.010704 Loss_D_real: -0.014998 Loss_D_fake 0.007183
[1079/5000][360/535][111287] Loss_D: -0.022637 Loss_G: 0.008513 Loss_D_real: -0.016178 Loss_D_fake 0.006459
[1079/5000][365/535][111288] Loss_D: -0.020637 Loss_G: 0.018352 Loss_D_real: -0.027882 Loss_D_fake -0.007245
[1079/5000][370/535][111289] Loss_D: -0.022138 Loss_G: 0.005328 Loss_D_real: -0.020470 Loss_D_fake 0.001668
[1079/5000][375/535][111290] Loss_D: -0.021506 Loss_G: 0.010177 Loss_D_real: -0.021428 Loss_D_fake 0.000078
[1079/5000][380/535][111291] Loss_D: -0.022845 Loss_G: 0.006703 Loss_D_real: -0.014222 Loss_D_fake 0.008623
[1079/5000][385/535][111292] Loss_D: -0.022295 Loss_G: 0.009103 Loss_D_real: -0.038238 Loss_D_fake -0.015943
[1079/5000][390/535][111293] Loss_D: -0.021889 Loss_G: 0.017974 Loss_D_real: -0.026226 Loss_D_fake -0.004337
[1079/5000][395/535][111294] Loss_D: -0.022108 Loss_G: 0.000385 Loss_D_real: -0.025369 Loss_D_fake -0.003261
[1079/5000][400/535][111295] Loss_D: -0.021825 Loss_G: 0.006889 Loss_D_real: -0.019444 Loss_D_fake 0.002381
[1079/5000][405/535][111296] Loss_D: -0.022896 Loss_G: 0.039289 Loss_D_real: -0.025425 Loss_D_fake -0.002529
[1079/5000][410/535][111297] Loss_D: -0.020620 Loss_G: -0.004075 Loss_D_real: -0.014624 Loss_D_fake 0.005997
[1079/5000][415/535][111298] Loss_D: -0.021031 Loss_G: 0.022161 Loss_D_real: -0.029723 Loss_D_fake -0.008692
[1079/5000][420/535][111299] Loss_D: -0.020613 Loss_G: -0.009889 Loss_D_real: -0.001415 Loss_D_fake 0.019198
[1079/5000][425/535][111300] Loss_D: -0.021290 Loss_G: -0.005929 Loss_D_real: -0.017069 Loss_D_fake 0.004221
[1079/5000][430/535][111301] Loss_D: -0.021952 Loss_G: 0.008554 Loss_D_real: -0.014452 Loss_D_fake 0.007500
[1079/5000][435/535][111302] Loss_D: -0.021258 Loss_G: 0.014037 Loss_D_real: -0.010560 Loss_D_fake 0.010698
[1079/5000][440/535][111303] Loss_D: -0.022020 Loss_G: 0.015069 Loss_D_real: -0.021509 Loss_D_fake 0.000511
[1079/5000][445/535][111304] Loss_D: -0.022239 Loss_G: 0.015889 Loss_D_real: -0.022789 Loss_D_fake -0.000550
[1079/5000][450/535][111305] Loss_D: -0.023168 Loss_G: 0.005312 Loss_D_real: -0.013247 Loss_D_fake 0.009921
[1079/5000][455/535][111306] Loss_D: -0.022993 Loss_G: 0.018984 Loss_D_real: -0.017743 Loss_D_fake 0.005250
[1079/5000][460/535][111307] Loss_D: -0.022255 Loss_G: -0.010212 Loss_D_real: -0.008463 Loss_D_fake 0.013792
[1079/5000][465/535][111308] Loss_D: -0.021472 Loss_G: 0.015959 Loss_D_real: -0.017230 Loss_D_fake 0.004241
[1079/5000][470/535][111309] Loss_D: -0.021476 Loss_G: 0.019832 Loss_D_real: -0.036454 Loss_D_fake -0.014978
[1079/5000][475/535][111310] Loss_D: -0.021566 Loss_G: 0.009531 Loss_D_real: -0.008940 Loss_D_fake 0.012625
[1079/5000][480/535][111311] Loss_D: -0.021136 Loss_G: 0.012544 Loss_D_real: -0.034226 Loss_D_fake -0.013090
[1079/5000][485/535][111312] Loss_D: -0.021352 Loss_G: 0.008601 Loss_D_real: -0.020891 Loss_D_fake 0.000461
[1079/5000][490/535][111313] Loss_D: -0.021983 Loss_G: 0.012336 Loss_D_real: -0.021485 Loss_D_fake 0.000498
[1079/5000][495/535][111314] Loss_D: -0.021050 Loss_G: 0.005162 Loss_D_real: -0.012802 Loss_D_fake 0.008248
[1079/5000][500/535][111315] Loss_D: -0.022565 Loss_G: 0.003996 Loss_D_real: -0.010615 Loss_D_fake 0.011950
[1079/5000][505/535][111316] Loss_D: -0.022458 Loss_G: 0.009800 Loss_D_real: -0.021675 Loss_D_fake 0.000783
[1079/5000][510/535][111317] Loss_D: -0.021775 Loss_G: -0.000758 Loss_D_real: -0.012255 Loss_D_fake 0.009520
[1079/5000][515/535][111318] Loss_D: -0.021007 Loss_G: 0.020372 Loss_D_real: -0.034919 Loss_D_fake -0.013912
[1079/5000][520/535][111319] Loss_D: -0.022890 Loss_G: -0.011551 Loss_D_real: -0.013330 Loss_D_fake 0.009560
[1079/5000][525/535][111320] Loss_D: -0.021417 Loss_G: 0.031536 Loss_D_real: -0.026078 Loss_D_fake -0.004660
[1079/5000][530/535][111321] Loss_D: -0.020898 Loss_G: 0.013136 Loss_D_real: -0.036393 Loss_D_fake -0.015495
[1079/5000][535/535][111322] Loss_D: -0.023030 Loss_G: -0.004701 Loss_D_real: -0.035123 Loss_D_fake -0.012094
[1080/5000][5/535][111323] Loss_D: -0.022456 Loss_G: 0.010872 Loss_D_real: -0.024234 Loss_D_fake -0.001777
[1080/5000][10/535][111324] Loss_D: -0.020988 Loss_G: -0.007115 Loss_D_real: -0.017979 Loss_D_fake 0.003009
[1080/5000][15/535][111325] Loss_D: -0.021200 Loss_G: 0.008056 Loss_D_real: -0.017835 Loss_D_fake 0.003364
[1080/5000][20/535][111326] Loss_D: -0.020341 Loss_G: 0.014403 Loss_D_real: -0.027240 Loss_D_fake -0.006899
[1080/5000][25/535][111327] Loss_D: -0.020383 Loss_G: 0.030490 Loss_D_real: -0.035813 Loss_D_fake -0.015430
[1080/5000][30/535][111328] Loss_D: -0.020543 Loss_G: 0.012787 Loss_D_real: -0.022087 Loss_D_fake -0.001544
[1080/5000][35/535][111329] Loss_D: -0.022685 Loss_G: 0.003028 Loss_D_real: -0.009407 Loss_D_fake 0.013278
[1080/5000][40/535][111330] Loss_D: -0.023290 Loss_G: 0.004841 Loss_D_real: -0.014879 Loss_D_fake 0.008411
[1080/5000][45/535][111331] Loss_D: -0.021799 Loss_G: 0.016933 Loss_D_real: -0.030956 Loss_D_fake -0.009157
[1080/5000][50/535][111332] Loss_D: -0.021833 Loss_G: 0.004181 Loss_D_real: -0.007943 Loss_D_fake 0.013890
[1080/5000][55/535][111333] Loss_D: -0.022662 Loss_G: 0.017481 Loss_D_real: -0.020871 Loss_D_fake 0.001792
[1080/5000][60/535][111334] Loss_D: -0.022083 Loss_G: 0.008547 Loss_D_real: -0.010452 Loss_D_fake 0.011631
[1080/5000][65/535][111335] Loss_D: -0.021798 Loss_G: -0.000513 Loss_D_real: -0.006860 Loss_D_fake 0.014938
[1080/5000][70/535][111336] Loss_D: -0.020402 Loss_G: 0.023590 Loss_D_real: -0.022869 Loss_D_fake -0.002467
[1080/5000][75/535][111337] Loss_D: -0.021950 Loss_G: -0.013588 Loss_D_real: 0.005370 Loss_D_fake 0.027320
[1080/5000][80/535][111338] Loss_D: -0.022172 Loss_G: 0.002289 Loss_D_real: -0.008920 Loss_D_fake 0.013252
[1080/5000][85/535][111339] Loss_D: -0.019449 Loss_G: -0.012603 Loss_D_real: 0.003622 Loss_D_fake 0.023071
[1080/5000][90/535][111340] Loss_D: -0.020869 Loss_G: 0.028833 Loss_D_real: -0.028475 Loss_D_fake -0.007606
[1080/5000][95/535][111341] Loss_D: -0.021268 Loss_G: -0.002381 Loss_D_real: -0.009231 Loss_D_fake 0.012038
[1080/5000][100/535][111342] Loss_D: -0.021605 Loss_G: 0.001321 Loss_D_real: -0.022416 Loss_D_fake -0.000811
[1080/5000][105/535][111343] Loss_D: -0.021527 Loss_G: -0.017569 Loss_D_real: -0.009873 Loss_D_fake 0.011654
[1080/5000][110/535][111344] Loss_D: -0.021758 Loss_G: 0.005950 Loss_D_real: -0.009142 Loss_D_fake 0.012616
[1080/5000][115/535][111345] Loss_D: -0.021120 Loss_G: 0.025546 Loss_D_real: -0.031117 Loss_D_fake -0.009997
[1080/5000][120/535][111346] Loss_D: -0.023143 Loss_G: 0.013280 Loss_D_real: -0.012183 Loss_D_fake 0.010961
[1080/5000][125/535][111347] Loss_D: -0.020870 Loss_G: 0.016671 Loss_D_real: -0.023927 Loss_D_fake -0.003057
[1080/5000][130/535][111348] Loss_D: -0.021629 Loss_G: 0.021274 Loss_D_real: -0.015150 Loss_D_fake 0.006479
[1080/5000][135/535][111349] Loss_D: -0.021492 Loss_G: 0.001083 Loss_D_real: -0.013012 Loss_D_fake 0.008480
[1080/5000][140/535][111350] Loss_D: -0.021162 Loss_G: 0.013749 Loss_D_real: -0.021758 Loss_D_fake -0.000596
[1080/5000][145/535][111351] Loss_D: -0.021335 Loss_G: 0.004589 Loss_D_real: -0.016147 Loss_D_fake 0.005188
[1080/5000][150/535][111352] Loss_D: -0.023478 Loss_G: 0.000044 Loss_D_real: -0.004737 Loss_D_fake 0.018740
[1080/5000][155/535][111353] Loss_D: -0.022379 Loss_G: 0.019275 Loss_D_real: -0.033522 Loss_D_fake -0.011143
[1080/5000][160/535][111354] Loss_D: -0.021512 Loss_G: -0.009943 Loss_D_real: -0.009849 Loss_D_fake 0.011663
[1080/5000][165/535][111355] Loss_D: -0.021209 Loss_G: 0.024207 Loss_D_real: -0.013598 Loss_D_fake 0.007612
[1080/5000][170/535][111356] Loss_D: -0.021855 Loss_G: -0.001275 Loss_D_real: -0.010888 Loss_D_fake 0.010967
[1080/5000][175/535][111357] Loss_D: -0.019976 Loss_G: -0.012522 Loss_D_real: -0.002062 Loss_D_fake 0.017914
[1080/5000][180/535][111358] Loss_D: -0.021719 Loss_G: 0.025190 Loss_D_real: -0.028943 Loss_D_fake -0.007224
[1080/5000][185/535][111359] Loss_D: -0.023215 Loss_G: 0.019930 Loss_D_real: -0.014479 Loss_D_fake 0.008736
[1080/5000][190/535][111360] Loss_D: -0.022054 Loss_G: 0.005603 Loss_D_real: -0.021407 Loss_D_fake 0.000647
[1080/5000][195/535][111361] Loss_D: -0.022530 Loss_G: 0.017364 Loss_D_real: -0.021772 Loss_D_fake 0.000758
[1080/5000][200/535][111362] Loss_D: -0.020998 Loss_G: 0.021252 Loss_D_real: -0.025074 Loss_D_fake -0.004075
[1080/5000][205/535][111363] Loss_D: -0.022785 Loss_G: 0.022677 Loss_D_real: -0.026479 Loss_D_fake -0.003695
[1080/5000][210/535][111364] Loss_D: -0.020908 Loss_G: -0.011134 Loss_D_real: 0.002186 Loss_D_fake 0.023095
[1080/5000][215/535][111365] Loss_D: -0.022530 Loss_G: 0.010200 Loss_D_real: -0.016272 Loss_D_fake 0.006258
[1080/5000][220/535][111366] Loss_D: -0.022109 Loss_G: -0.009966 Loss_D_real: -0.003556 Loss_D_fake 0.018553
[1080/5000][225/535][111367] Loss_D: -0.021890 Loss_G: 0.024095 Loss_D_real: -0.016887 Loss_D_fake 0.005003
[1080/5000][230/535][111368] Loss_D: -0.023056 Loss_G: -0.017718 Loss_D_real: -0.004034 Loss_D_fake 0.019021
[1080/5000][235/535][111369] Loss_D: -0.020784 Loss_G: 0.000173 Loss_D_real: -0.000234 Loss_D_fake 0.020550
[1080/5000][240/535][111370] Loss_D: -0.019908 Loss_G: 0.015009 Loss_D_real: -0.024083 Loss_D_fake -0.004175
[1080/5000][245/535][111371] Loss_D: -0.022516 Loss_G: 0.008222 Loss_D_real: -0.020263 Loss_D_fake 0.002253
[1080/5000][250/535][111372] Loss_D: -0.022423 Loss_G: -0.005330 Loss_D_real: -0.008014 Loss_D_fake 0.014409
[1080/5000][255/535][111373] Loss_D: -0.020961 Loss_G: 0.014870 Loss_D_real: -0.019978 Loss_D_fake 0.000983
[1080/5000][260/535][111374] Loss_D: -0.021557 Loss_G: 0.005019 Loss_D_real: -0.009455 Loss_D_fake 0.012102
[1080/5000][265/535][111375] Loss_D: -0.021651 Loss_G: 0.013362 Loss_D_real: -0.018774 Loss_D_fake 0.002878
[1080/5000][270/535][111376] Loss_D: -0.021834 Loss_G: -0.008170 Loss_D_real: -0.003869 Loss_D_fake 0.017964
[1080/5000][275/535][111377] Loss_D: -0.021041 Loss_G: 0.013228 Loss_D_real: -0.019789 Loss_D_fake 0.001252
[1080/5000][280/535][111378] Loss_D: -0.021621 Loss_G: -0.009229 Loss_D_real: -0.002057 Loss_D_fake 0.019563
[1080/5000][285/535][111379] Loss_D: -0.022559 Loss_G: 0.020686 Loss_D_real: -0.021494 Loss_D_fake 0.001064
[1080/5000][290/535][111380] Loss_D: -0.023033 Loss_G: 0.002735 Loss_D_real: -0.005419 Loss_D_fake 0.017614
[1080/5000][295/535][111381] Loss_D: -0.022897 Loss_G: 0.026774 Loss_D_real: -0.023234 Loss_D_fake -0.000337
[1080/5000][300/535][111382] Loss_D: -0.021844 Loss_G: 0.011772 Loss_D_real: -0.023672 Loss_D_fake -0.001828
[1080/5000][305/535][111383] Loss_D: -0.021269 Loss_G: -0.014708 Loss_D_real: -0.001669 Loss_D_fake 0.019600
[1080/5000][310/535][111384] Loss_D: -0.020364 Loss_G: 0.016080 Loss_D_real: -0.028505 Loss_D_fake -0.008141
[1080/5000][315/535][111385] Loss_D: -0.021587 Loss_G: 0.029003 Loss_D_real: -0.025721 Loss_D_fake -0.004134
[1080/5000][320/535][111386] Loss_D: -0.021803 Loss_G: 0.009525 Loss_D_real: -0.013693 Loss_D_fake 0.008109
[1080/5000][325/535][111387] Loss_D: -0.020903 Loss_G: 0.002591 Loss_D_real: -0.023794 Loss_D_fake -0.002891
[1080/5000][330/535][111388] Loss_D: -0.020996 Loss_G: -0.005003 Loss_D_real: -0.001642 Loss_D_fake 0.019354
[1080/5000][335/535][111389] Loss_D: -0.022401 Loss_G: -0.009076 Loss_D_real: -0.003387 Loss_D_fake 0.019014
[1080/5000][340/535][111390] Loss_D: -0.021101 Loss_G: 0.019798 Loss_D_real: -0.025278 Loss_D_fake -0.004177
[1080/5000][345/535][111391] Loss_D: -0.021709 Loss_G: -0.000349 Loss_D_real: -0.017243 Loss_D_fake 0.004467
[1080/5000][350/535][111392] Loss_D: -0.022181 Loss_G: 0.015530 Loss_D_real: -0.022175 Loss_D_fake 0.000006
[1080/5000][355/535][111393] Loss_D: -0.022424 Loss_G: 0.009972 Loss_D_real: -0.013139 Loss_D_fake 0.009285
[1080/5000][360/535][111394] Loss_D: -0.021600 Loss_G: 0.006969 Loss_D_real: -0.015248 Loss_D_fake 0.006353
[1080/5000][365/535][111395] Loss_D: -0.021998 Loss_G: 0.006529 Loss_D_real: -0.010377 Loss_D_fake 0.011621
[1080/5000][370/535][111396] Loss_D: -0.023118 Loss_G: -0.009087 Loss_D_real: -0.010253 Loss_D_fake 0.012865
[1080/5000][375/535][111397] Loss_D: -0.021888 Loss_G: 0.005034 Loss_D_real: -0.009266 Loss_D_fake 0.012622
[1080/5000][380/535][111398] Loss_D: -0.022445 Loss_G: 0.005263 Loss_D_real: -0.017868 Loss_D_fake 0.004578
[1080/5000][385/535][111399] Loss_D: -0.023858 Loss_G: 0.020562 Loss_D_real: -0.031821 Loss_D_fake -0.007963
[1080/5000][390/535][111400] Loss_D: -0.022862 Loss_G: -0.015557 Loss_D_real: -0.003747 Loss_D_fake 0.019115
[1080/5000][395/535][111401] Loss_D: -0.021688 Loss_G: 0.016321 Loss_D_real: -0.024288 Loss_D_fake -0.002600
[1080/5000][400/535][111402] Loss_D: -0.023084 Loss_G: 0.007140 Loss_D_real: -0.004808 Loss_D_fake 0.018276
[1080/5000][405/535][111403] Loss_D: -0.022168 Loss_G: 0.018082 Loss_D_real: -0.027562 Loss_D_fake -0.005394
[1080/5000][410/535][111404] Loss_D: -0.022375 Loss_G: -0.005241 Loss_D_real: 0.002135 Loss_D_fake 0.024510
[1080/5000][415/535][111405] Loss_D: -0.020098 Loss_G: 0.027786 Loss_D_real: -0.031981 Loss_D_fake -0.011883
[1080/5000][420/535][111406] Loss_D: -0.022327 Loss_G: 0.013421 Loss_D_real: -0.019312 Loss_D_fake 0.003016
[1080/5000][425/535][111407] Loss_D: -0.020552 Loss_G: 0.009144 Loss_D_real: -0.029364 Loss_D_fake -0.008812
[1080/5000][430/535][111408] Loss_D: -0.022099 Loss_G: 0.004430 Loss_D_real: -0.012304 Loss_D_fake 0.009795
[1080/5000][435/535][111409] Loss_D: -0.020799 Loss_G: 0.016482 Loss_D_real: -0.027032 Loss_D_fake -0.006233
[1080/5000][440/535][111410] Loss_D: -0.022349 Loss_G: 0.001568 Loss_D_real: -0.023094 Loss_D_fake -0.000745
[1080/5000][445/535][111411] Loss_D: -0.023185 Loss_G: 0.004882 Loss_D_real: -0.013703 Loss_D_fake 0.009482
[1080/5000][450/535][111412] Loss_D: -0.021801 Loss_G: 0.023818 Loss_D_real: -0.021973 Loss_D_fake -0.000172
[1080/5000][455/535][111413] Loss_D: -0.022340 Loss_G: 0.005717 Loss_D_real: -0.001815 Loss_D_fake 0.020526
[1080/5000][460/535][111414] Loss_D: -0.022552 Loss_G: 0.011086 Loss_D_real: -0.023668 Loss_D_fake -0.001117
[1080/5000][465/535][111415] Loss_D: -0.021344 Loss_G: -0.018297 Loss_D_real: 0.003231 Loss_D_fake 0.024574
[1080/5000][470/535][111416] Loss_D: -0.021888 Loss_G: 0.003140 Loss_D_real: -0.014146 Loss_D_fake 0.007741
[1080/5000][475/535][111417] Loss_D: -0.021503 Loss_G: 0.007901 Loss_D_real: -0.010345 Loss_D_fake 0.011158
[1080/5000][480/535][111418] Loss_D: -0.022198 Loss_G: 0.006886 Loss_D_real: -0.014970 Loss_D_fake 0.007228
[1080/5000][485/535][111419] Loss_D: -0.021444 Loss_G: 0.016013 Loss_D_real: -0.028901 Loss_D_fake -0.007457
[1080/5000][490/535][111420] Loss_D: -0.022975 Loss_G: -0.011222 Loss_D_real: -0.009396 Loss_D_fake 0.013580
[1080/5000][495/535][111421] Loss_D: -0.022668 Loss_G: 0.010832 Loss_D_real: -0.025404 Loss_D_fake -0.002736
[1080/5000][500/535][111422] Loss_D: -0.021154 Loss_G: -0.008351 Loss_D_real: -0.015520 Loss_D_fake 0.005635
[1080/5000][505/535][111423] Loss_D: -0.021258 Loss_G: 0.006859 Loss_D_real: -0.014892 Loss_D_fake 0.006366
[1080/5000][510/535][111424] Loss_D: -0.021271 Loss_G: 0.008758 Loss_D_real: -0.025474 Loss_D_fake -0.004204
[1080/5000][515/535][111425] Loss_D: -0.023654 Loss_G: 0.006291 Loss_D_real: -0.008239 Loss_D_fake 0.015416
[1080/5000][520/535][111426] Loss_D: -0.022965 Loss_G: -0.000729 Loss_D_real: -0.018159 Loss_D_fake 0.004806
[1080/5000][525/535][111427] Loss_D: -0.022262 Loss_G: 0.002336 Loss_D_real: 0.000990 Loss_D_fake 0.023252
[1080/5000][530/535][111428] Loss_D: -0.020372 Loss_G: -0.001921 Loss_D_real: -0.002784 Loss_D_fake 0.017588
[1080/5000][535/535][111429] Loss_D: -0.019063 Loss_G: 0.021661 Loss_D_real: -0.020813 Loss_D_fake -0.001750
[1081/5000][5/535][111430] Loss_D: -0.020716 Loss_G: -0.011167 Loss_D_real: -0.014165 Loss_D_fake 0.006551
[1081/5000][10/535][111431] Loss_D: -0.021556 Loss_G: 0.011321 Loss_D_real: -0.021172 Loss_D_fake 0.000384
[1081/5000][15/535][111432] Loss_D: -0.020966 Loss_G: 0.009916 Loss_D_real: -0.009392 Loss_D_fake 0.011574
[1081/5000][20/535][111433] Loss_D: -0.020571 Loss_G: -0.002662 Loss_D_real: -0.006250 Loss_D_fake 0.014322
[1081/5000][25/535][111434] Loss_D: -0.021873 Loss_G: 0.026516 Loss_D_real: -0.027984 Loss_D_fake -0.006111
[1081/5000][30/535][111435] Loss_D: -0.021422 Loss_G: 0.008306 Loss_D_real: -0.018439 Loss_D_fake 0.002983
[1081/5000][35/535][111436] Loss_D: -0.021113 Loss_G: 0.008980 Loss_D_real: -0.016084 Loss_D_fake 0.005029
[1081/5000][40/535][111437] Loss_D: -0.020984 Loss_G: 0.020769 Loss_D_real: -0.021689 Loss_D_fake -0.000705
[1081/5000][45/535][111438] Loss_D: -0.021972 Loss_G: 0.003749 Loss_D_real: -0.024830 Loss_D_fake -0.002858
[1081/5000][50/535][111439] Loss_D: -0.018795 Loss_G: 0.021411 Loss_D_real: -0.041110 Loss_D_fake -0.022315
[1081/5000][55/535][111440] Loss_D: -0.020944 Loss_G: 0.013168 Loss_D_real: -0.036146 Loss_D_fake -0.015202
[1081/5000][60/535][111441] Loss_D: -0.023958 Loss_G: 0.016724 Loss_D_real: -0.016307 Loss_D_fake 0.007651
[1081/5000][65/535][111442] Loss_D: -0.020408 Loss_G: -0.012232 Loss_D_real: -0.010471 Loss_D_fake 0.009938
[1081/5000][70/535][111443] Loss_D: -0.020799 Loss_G: 0.020977 Loss_D_real: -0.024811 Loss_D_fake -0.004012
[1081/5000][75/535][111444] Loss_D: -0.022053 Loss_G: 0.012669 Loss_D_real: -0.013892 Loss_D_fake 0.008162
[1081/5000][80/535][111445] Loss_D: -0.022195 Loss_G: 0.000658 Loss_D_real: -0.017429 Loss_D_fake 0.004765
[1081/5000][85/535][111446] Loss_D: -0.022715 Loss_G: -0.003541 Loss_D_real: -0.004654 Loss_D_fake 0.018061
[1081/5000][90/535][111447] Loss_D: -0.022122 Loss_G: 0.015057 Loss_D_real: -0.025438 Loss_D_fake -0.003317
[1081/5000][95/535][111448] Loss_D: -0.021489 Loss_G: -0.016446 Loss_D_real: -0.021594 Loss_D_fake -0.000106
[1081/5000][100/535][111449] Loss_D: -0.021922 Loss_G: -0.001849 Loss_D_real: -0.008258 Loss_D_fake 0.013664
[1081/5000][105/535][111450] Loss_D: -0.022182 Loss_G: 0.017736 Loss_D_real: -0.023851 Loss_D_fake -0.001668
[1081/5000][110/535][111451] Loss_D: -0.022566 Loss_G: 0.012989 Loss_D_real: -0.014706 Loss_D_fake 0.007860
[1081/5000][115/535][111452] Loss_D: -0.021935 Loss_G: -0.000437 Loss_D_real: -0.005906 Loss_D_fake 0.016029
[1081/5000][120/535][111453] Loss_D: -0.021408 Loss_G: 0.032464 Loss_D_real: -0.032443 Loss_D_fake -0.011035
[1081/5000][125/535][111454] Loss_D: -0.022195 Loss_G: 0.026795 Loss_D_real: -0.027295 Loss_D_fake -0.005100
[1081/5000][130/535][111455] Loss_D: -0.021674 Loss_G: 0.010614 Loss_D_real: -0.013466 Loss_D_fake 0.008208
[1081/5000][135/535][111456] Loss_D: -0.023489 Loss_G: -0.004549 Loss_D_real: -0.021481 Loss_D_fake 0.002008
[1081/5000][140/535][111457] Loss_D: -0.022157 Loss_G: -0.011941 Loss_D_real: -0.014621 Loss_D_fake 0.007536
[1081/5000][145/535][111458] Loss_D: -0.022361 Loss_G: -0.004863 Loss_D_real: -0.019407 Loss_D_fake 0.002954
[1081/5000][150/535][111459] Loss_D: -0.023413 Loss_G: -0.010447 Loss_D_real: -0.002701 Loss_D_fake 0.020712
[1081/5000][155/535][111460] Loss_D: -0.022262 Loss_G: 0.021366 Loss_D_real: -0.021338 Loss_D_fake 0.000924
[1081/5000][160/535][111461] Loss_D: -0.021713 Loss_G: 0.023839 Loss_D_real: -0.020998 Loss_D_fake 0.000716
[1081/5000][165/535][111462] Loss_D: -0.021308 Loss_G: 0.003643 Loss_D_real: -0.008256 Loss_D_fake 0.013053
[1081/5000][170/535][111463] Loss_D: -0.021382 Loss_G: 0.007543 Loss_D_real: -0.022235 Loss_D_fake -0.000853
[1081/5000][175/535][111464] Loss_D: -0.023469 Loss_G: -0.001734 Loss_D_real: -0.010678 Loss_D_fake 0.012791
[1081/5000][180/535][111465] Loss_D: -0.021559 Loss_G: -0.005835 Loss_D_real: -0.011629 Loss_D_fake 0.009930
[1081/5000][185/535][111466] Loss_D: -0.021564 Loss_G: 0.018445 Loss_D_real: -0.030092 Loss_D_fake -0.008528
[1081/5000][190/535][111467] Loss_D: -0.021224 Loss_G: -0.006790 Loss_D_real: -0.010232 Loss_D_fake 0.010993
[1081/5000][195/535][111468] Loss_D: -0.021923 Loss_G: -0.012404 Loss_D_real: 0.000452 Loss_D_fake 0.022374
[1081/5000][200/535][111469] Loss_D: -0.020742 Loss_G: -0.010003 Loss_D_real: -0.005671 Loss_D_fake 0.015071
[1081/5000][205/535][111470] Loss_D: -0.021385 Loss_G: 0.001423 Loss_D_real: -0.005448 Loss_D_fake 0.015937
[1081/5000][210/535][111471] Loss_D: -0.023024 Loss_G: 0.012528 Loss_D_real: -0.016930 Loss_D_fake 0.006094
[1081/5000][215/535][111472] Loss_D: -0.021511 Loss_G: 0.009207 Loss_D_real: -0.021516 Loss_D_fake -0.000004
[1081/5000][220/535][111473] Loss_D: -0.021102 Loss_G: -0.010815 Loss_D_real: -0.002126 Loss_D_fake 0.018975
[1081/5000][225/535][111474] Loss_D: -0.022204 Loss_G: 0.004062 Loss_D_real: -0.006415 Loss_D_fake 0.015789
[1081/5000][230/535][111475] Loss_D: -0.022176 Loss_G: 0.009961 Loss_D_real: -0.008111 Loss_D_fake 0.014066
[1081/5000][235/535][111476] Loss_D: -0.020593 Loss_G: -0.000602 Loss_D_real: -0.015124 Loss_D_fake 0.005469
[1081/5000][240/535][111477] Loss_D: -0.021506 Loss_G: 0.001047 Loss_D_real: -0.008081 Loss_D_fake 0.013425
[1081/5000][245/535][111478] Loss_D: -0.023103 Loss_G: 0.020855 Loss_D_real: -0.019768 Loss_D_fake 0.003335
[1081/5000][250/535][111479] Loss_D: -0.021498 Loss_G: 0.007437 Loss_D_real: -0.023036 Loss_D_fake -0.001538
[1081/5000][255/535][111480] Loss_D: -0.020965 Loss_G: -0.016862 Loss_D_real: 0.000374 Loss_D_fake 0.021339
[1081/5000][260/535][111481] Loss_D: -0.021945 Loss_G: 0.003394 Loss_D_real: -0.011841 Loss_D_fake 0.010105
[1081/5000][265/535][111482] Loss_D: -0.021868 Loss_G: -0.002730 Loss_D_real: -0.011874 Loss_D_fake 0.009995
[1081/5000][270/535][111483] Loss_D: -0.021052 Loss_G: 0.022805 Loss_D_real: -0.035076 Loss_D_fake -0.014024
[1081/5000][275/535][111484] Loss_D: -0.022006 Loss_G: 0.001224 Loss_D_real: -0.007003 Loss_D_fake 0.015002
[1081/5000][280/535][111485] Loss_D: -0.021111 Loss_G: 0.017491 Loss_D_real: -0.025402 Loss_D_fake -0.004291
[1081/5000][285/535][111486] Loss_D: -0.021664 Loss_G: 0.013893 Loss_D_real: -0.029119 Loss_D_fake -0.007456
[1081/5000][290/535][111487] Loss_D: -0.021507 Loss_G: 0.013525 Loss_D_real: -0.009645 Loss_D_fake 0.011863
[1081/5000][295/535][111488] Loss_D: -0.020392 Loss_G: -0.004785 Loss_D_real: -0.012369 Loss_D_fake 0.008023
[1081/5000][300/535][111489] Loss_D: -0.022235 Loss_G: 0.021454 Loss_D_real: -0.018335 Loss_D_fake 0.003899
[1081/5000][305/535][111490] Loss_D: -0.022528 Loss_G: 0.000950 Loss_D_real: -0.004236 Loss_D_fake 0.018292
[1081/5000][310/535][111491] Loss_D: -0.021399 Loss_G: 0.024539 Loss_D_real: -0.030783 Loss_D_fake -0.009385
[1081/5000][315/535][111492] Loss_D: -0.022251 Loss_G: 0.006202 Loss_D_real: -0.025402 Loss_D_fake -0.003152
[1081/5000][320/535][111493] Loss_D: -0.020087 Loss_G: 0.014471 Loss_D_real: -0.027706 Loss_D_fake -0.007619
[1081/5000][325/535][111494] Loss_D: -0.021434 Loss_G: 0.022661 Loss_D_real: -0.023227 Loss_D_fake -0.001793
[1081/5000][330/535][111495] Loss_D: -0.022673 Loss_G: 0.002315 Loss_D_real: -0.012560 Loss_D_fake 0.010113
[1081/5000][335/535][111496] Loss_D: -0.022603 Loss_G: 0.011894 Loss_D_real: -0.020676 Loss_D_fake 0.001927
[1081/5000][340/535][111497] Loss_D: -0.021940 Loss_G: -0.007398 Loss_D_real: 0.000840 Loss_D_fake 0.022779
[1081/5000][345/535][111498] Loss_D: -0.022798 Loss_G: -0.000688 Loss_D_real: -0.000842 Loss_D_fake 0.021955
[1081/5000][350/535][111499] Loss_D: -0.022071 Loss_G: -0.002791 Loss_D_real: -0.016661 Loss_D_fake 0.005410
[1081/5000][355/535][111500] Loss_D: -0.022360 Loss_G: -0.004664 Loss_D_real: -0.018226 Loss_D_fake 0.004134
[1081/5000][455/535][111501] Loss_D: -0.026647 Loss_G: -0.007081 Loss_D_real: -0.013787 Loss_D_fake 0.012860
[1081/5000][460/535][111502] Loss_D: -0.020882 Loss_G: 0.016587 Loss_D_real: -0.009283 Loss_D_fake 0.011599
[1081/5000][465/535][111503] Loss_D: -0.021341 Loss_G: 0.001327 Loss_D_real: -0.017778 Loss_D_fake 0.003563
[1081/5000][470/535][111504] Loss_D: -0.020829 Loss_G: 0.019790 Loss_D_real: -0.016500 Loss_D_fake 0.004329
[1081/5000][475/535][111505] Loss_D: -0.021080 Loss_G: 0.012537 Loss_D_real: -0.012672 Loss_D_fake 0.008408
[1081/5000][480/535][111506] Loss_D: -0.021172 Loss_G: 0.003436 Loss_D_real: -0.018359 Loss_D_fake 0.002814
[1081/5000][485/535][111507] Loss_D: -0.021381 Loss_G: 0.005276 Loss_D_real: -0.014222 Loss_D_fake 0.007159
[1081/5000][490/535][111508] Loss_D: -0.019632 Loss_G: -0.002278 Loss_D_real: -0.017026 Loss_D_fake 0.002606
[1081/5000][495/535][111509] Loss_D: -0.020247 Loss_G: 0.018327 Loss_D_real: -0.031992 Loss_D_fake -0.011746
[1081/5000][500/535][111510] Loss_D: -0.018487 Loss_G: -0.027199 Loss_D_real: 0.005753 Loss_D_fake 0.024240
[1081/5000][505/535][111511] Loss_D: -0.019265 Loss_G: -0.010330 Loss_D_real: -0.002125 Loss_D_fake 0.017140
[1081/5000][510/535][111512] Loss_D: -0.020417 Loss_G: 0.015766 Loss_D_real: -0.023460 Loss_D_fake -0.003043
[1081/5000][515/535][111513] Loss_D: -0.020375 Loss_G: 0.003503 Loss_D_real: -0.014312 Loss_D_fake 0.006062
[1081/5000][520/535][111514] Loss_D: -0.019047 Loss_G: -0.002158 Loss_D_real: -0.001467 Loss_D_fake 0.017581
[1081/5000][525/535][111515] Loss_D: -0.021339 Loss_G: -0.004304 Loss_D_real: -0.013329 Loss_D_fake 0.008010
[1081/5000][530/535][111516] Loss_D: -0.022261 Loss_G: 0.011013 Loss_D_real: -0.023656 Loss_D_fake -0.001395
[1081/5000][535/535][111517] Loss_D: -0.021405 Loss_G: 0.007988 Loss_D_real: 0.001011 Loss_D_fake 0.022416
[1082/5000][5/535][111518] Loss_D: -0.023988 Loss_G: 0.011277 Loss_D_real: -0.011541 Loss_D_fake 0.012447
[1082/5000][10/535][111519] Loss_D: -0.021749 Loss_G: -0.011449 Loss_D_real: 0.001848 Loss_D_fake 0.023597
[1082/5000][15/535][111520] Loss_D: -0.020605 Loss_G: 0.019345 Loss_D_real: -0.025862 Loss_D_fake -0.005257
[1082/5000][20/535][111521] Loss_D: -0.020462 Loss_G: -0.009151 Loss_D_real: -0.020579 Loss_D_fake -0.000117
[1082/5000][25/535][111522] Loss_D: -0.022568 Loss_G: 0.012978 Loss_D_real: -0.018842 Loss_D_fake 0.003726
[1082/5000][30/535][111523] Loss_D: -0.021719 Loss_G: 0.018941 Loss_D_real: -0.036492 Loss_D_fake -0.014773
[1082/5000][35/535][111524] Loss_D: -0.023208 Loss_G: 0.016519 Loss_D_real: -0.012700 Loss_D_fake 0.010508
[1082/5000][40/535][111525] Loss_D: -0.022548 Loss_G: -0.004604 Loss_D_real: -0.013490 Loss_D_fake 0.009058
[1082/5000][45/535][111526] Loss_D: -0.021985 Loss_G: 0.029113 Loss_D_real: -0.034521 Loss_D_fake -0.012536
[1082/5000][50/535][111527] Loss_D: -0.023926 Loss_G: 0.020229 Loss_D_real: -0.027312 Loss_D_fake -0.003386
[1082/5000][55/535][111528] Loss_D: -0.021846 Loss_G: 0.025508 Loss_D_real: -0.036106 Loss_D_fake -0.014260
[1082/5000][60/535][111529] Loss_D: -0.021952 Loss_G: 0.004024 Loss_D_real: -0.016454 Loss_D_fake 0.005497
[1082/5000][65/535][111530] Loss_D: -0.022809 Loss_G: 0.005193 Loss_D_real: -0.011450 Loss_D_fake 0.011359
[1082/5000][70/535][111531] Loss_D: -0.021144 Loss_G: 0.005393 Loss_D_real: -0.000755 Loss_D_fake 0.020389
[1082/5000][75/535][111532] Loss_D: -0.021657 Loss_G: 0.012738 Loss_D_real: -0.017008 Loss_D_fake 0.004649
[1082/5000][80/535][111533] Loss_D: -0.020656 Loss_G: 0.014604 Loss_D_real: -0.015870 Loss_D_fake 0.004786
[1082/5000][85/535][111534] Loss_D: -0.021415 Loss_G: -0.007407 Loss_D_real: 0.002837 Loss_D_fake 0.024252
[1082/5000][90/535][111535] Loss_D: -0.022071 Loss_G: 0.000695 Loss_D_real: 0.001447 Loss_D_fake 0.023517
[1082/5000][95/535][111536] Loss_D: -0.021337 Loss_G: -0.005530 Loss_D_real: -0.008092 Loss_D_fake 0.013244
[1082/5000][100/535][111537] Loss_D: -0.021915 Loss_G: 0.020738 Loss_D_real: -0.026606 Loss_D_fake -0.004691
[1082/5000][105/535][111538] Loss_D: -0.020114 Loss_G: -0.015022 Loss_D_real: -0.011652 Loss_D_fake 0.008461
[1082/5000][110/535][111539] Loss_D: -0.023032 Loss_G: 0.007182 Loss_D_real: -0.020697 Loss_D_fake 0.002335
[1082/5000][115/535][111540] Loss_D: -0.020402 Loss_G: -0.008434 Loss_D_real: -0.010953 Loss_D_fake 0.009449
[1082/5000][120/535][111541] Loss_D: -0.020693 Loss_G: 0.029572 Loss_D_real: -0.025542 Loss_D_fake -0.004849
[1082/5000][125/535][111542] Loss_D: -0.021962 Loss_G: -0.000096 Loss_D_real: -0.017555 Loss_D_fake 0.004407
[1082/5000][130/535][111543] Loss_D: -0.020012 Loss_G: 0.031261 Loss_D_real: -0.033707 Loss_D_fake -0.013695
[1082/5000][135/535][111544] Loss_D: -0.020993 Loss_G: 0.022304 Loss_D_real: -0.022942 Loss_D_fake -0.001950
[1082/5000][140/535][111545] Loss_D: -0.020777 Loss_G: 0.026547 Loss_D_real: -0.035206 Loss_D_fake -0.014429
[1082/5000][145/535][111546] Loss_D: -0.022897 Loss_G: -0.008624 Loss_D_real: -0.017978 Loss_D_fake 0.004919
[1082/5000][150/535][111547] Loss_D: -0.021430 Loss_G: 0.002621 Loss_D_real: -0.013559 Loss_D_fake 0.007871
[1082/5000][155/535][111548] Loss_D: -0.021654 Loss_G: 0.014013 Loss_D_real: -0.029496 Loss_D_fake -0.007842
[1082/5000][160/535][111549] Loss_D: -0.021251 Loss_G: 0.022831 Loss_D_real: -0.024401 Loss_D_fake -0.003150
[1082/5000][165/535][111550] Loss_D: -0.021988 Loss_G: 0.016476 Loss_D_real: -0.016827 Loss_D_fake 0.005161
[1082/5000][170/535][111551] Loss_D: -0.022436 Loss_G: 0.020929 Loss_D_real: -0.028972 Loss_D_fake -0.006536
[1082/5000][175/535][111552] Loss_D: -0.023103 Loss_G: 0.001869 Loss_D_real: -0.023741 Loss_D_fake -0.000638
[1082/5000][180/535][111553] Loss_D: -0.022175 Loss_G: 0.008001 Loss_D_real: -0.036349 Loss_D_fake -0.014174
[1082/5000][185/535][111554] Loss_D: -0.022039 Loss_G: 0.010804 Loss_D_real: -0.025454 Loss_D_fake -0.003415
[1082/5000][190/535][111555] Loss_D: -0.020732 Loss_G: 0.026361 Loss_D_real: -0.036564 Loss_D_fake -0.015832
[1082/5000][195/535][111556] Loss_D: -0.022041 Loss_G: 0.007052 Loss_D_real: -0.027389 Loss_D_fake -0.005348
[1082/5000][200/535][111557] Loss_D: -0.021876 Loss_G: 0.007256 Loss_D_real: -0.023346 Loss_D_fake -0.001469
[1082/5000][205/535][111558] Loss_D: -0.022337 Loss_G: 0.004993 Loss_D_real: -0.006468 Loss_D_fake 0.015870
[1082/5000][210/535][111559] Loss_D: -0.021406 Loss_G: 0.016015 Loss_D_real: -0.026788 Loss_D_fake -0.005381
[1082/5000][215/535][111560] Loss_D: -0.023241 Loss_G: 0.005787 Loss_D_real: -0.012151 Loss_D_fake 0.011090
[1082/5000][220/535][111561] Loss_D: -0.021996 Loss_G: 0.007618 Loss_D_real: -0.020486 Loss_D_fake 0.001511
[1082/5000][225/535][111562] Loss_D: -0.021471 Loss_G: 0.000766 Loss_D_real: -0.019066 Loss_D_fake 0.002405
[1082/5000][230/535][111563] Loss_D: -0.021743 Loss_G: 0.023597 Loss_D_real: -0.031438 Loss_D_fake -0.009695
[1082/5000][235/535][111564] Loss_D: -0.020454 Loss_G: 0.011688 Loss_D_real: -0.025533 Loss_D_fake -0.005078
[1082/5000][240/535][111565] Loss_D: -0.021264 Loss_G: 0.012566 Loss_D_real: -0.026161 Loss_D_fake -0.004897
[1082/5000][245/535][111566] Loss_D: -0.021981 Loss_G: -0.007356 Loss_D_real: -0.005730 Loss_D_fake 0.016252
[1082/5000][250/535][111567] Loss_D: -0.021665 Loss_G: 0.009604 Loss_D_real: -0.023301 Loss_D_fake -0.001636
[1082/5000][255/535][111568] Loss_D: -0.019430 Loss_G: 0.030116 Loss_D_real: -0.035012 Loss_D_fake -0.015582
[1082/5000][260/535][111569] Loss_D: -0.021329 Loss_G: 0.004480 Loss_D_real: -0.015368 Loss_D_fake 0.005962
[1082/5000][265/535][111570] Loss_D: -0.021752 Loss_G: 0.007544 Loss_D_real: -0.017443 Loss_D_fake 0.004309
[1082/5000][270/535][111571] Loss_D: -0.022100 Loss_G: 0.008751 Loss_D_real: -0.015064 Loss_D_fake 0.007035
[1082/5000][275/535][111572] Loss_D: -0.022235 Loss_G: 0.001262 Loss_D_real: -0.019923 Loss_D_fake 0.002313
[1082/5000][280/535][111573] Loss_D: -0.021917 Loss_G: -0.002655 Loss_D_real: -0.022836 Loss_D_fake -0.000919
[1082/5000][285/535][111574] Loss_D: -0.021824 Loss_G: 0.024251 Loss_D_real: -0.029356 Loss_D_fake -0.007532
[1082/5000][290/535][111575] Loss_D: -0.021613 Loss_G: 0.007784 Loss_D_real: -0.009690 Loss_D_fake 0.011923
[1082/5000][295/535][111576] Loss_D: -0.022023 Loss_G: -0.016144 Loss_D_real: -0.008041 Loss_D_fake 0.013981
[1082/5000][300/535][111577] Loss_D: -0.021398 Loss_G: 0.014360 Loss_D_real: -0.012201 Loss_D_fake 0.009197
[1082/5000][305/535][111578] Loss_D: -0.022113 Loss_G: -0.009393 Loss_D_real: -0.006898 Loss_D_fake 0.015215
[1082/5000][310/535][111579] Loss_D: -0.021603 Loss_G: 0.005763 Loss_D_real: -0.026673 Loss_D_fake -0.005070
[1082/5000][315/535][111580] Loss_D: -0.022189 Loss_G: 0.031745 Loss_D_real: -0.032412 Loss_D_fake -0.010223
[1082/5000][320/535][111581] Loss_D: -0.022942 Loss_G: -0.002544 Loss_D_real: -0.010575 Loss_D_fake 0.012367
[1082/5000][325/535][111582] Loss_D: -0.021121 Loss_G: 0.017100 Loss_D_real: -0.014070 Loss_D_fake 0.007051
[1082/5000][330/535][111583] Loss_D: -0.021009 Loss_G: -0.010753 Loss_D_real: -0.002840 Loss_D_fake 0.018169
[1082/5000][335/535][111584] Loss_D: -0.020351 Loss_G: 0.011579 Loss_D_real: -0.030574 Loss_D_fake -0.010223
[1082/5000][340/535][111585] Loss_D: -0.020495 Loss_G: -0.004143 Loss_D_real: -0.023773 Loss_D_fake -0.003278
[1082/5000][345/535][111586] Loss_D: -0.019977 Loss_G: 0.011462 Loss_D_real: -0.017173 Loss_D_fake 0.002805
[1082/5000][350/535][111587] Loss_D: -0.020914 Loss_G: 0.006547 Loss_D_real: -0.013731 Loss_D_fake 0.007183
[1082/5000][355/535][111588] Loss_D: -0.022506 Loss_G: 0.009761 Loss_D_real: -0.019073 Loss_D_fake 0.003433
[1082/5000][360/535][111589] Loss_D: -0.021821 Loss_G: 0.008443 Loss_D_real: -0.013692 Loss_D_fake 0.008130
[1082/5000][365/535][111590] Loss_D: -0.021498 Loss_G: 0.019220 Loss_D_real: -0.025044 Loss_D_fake -0.003547
[1082/5000][370/535][111591] Loss_D: -0.021515 Loss_G: 0.016321 Loss_D_real: -0.023366 Loss_D_fake -0.001851
[1082/5000][375/535][111592] Loss_D: -0.021762 Loss_G: 0.016711 Loss_D_real: -0.029145 Loss_D_fake -0.007383
[1082/5000][380/535][111593] Loss_D: -0.020264 Loss_G: 0.009187 Loss_D_real: -0.023065 Loss_D_fake -0.002800
[1082/5000][385/535][111594] Loss_D: -0.020127 Loss_G: 0.028060 Loss_D_real: -0.029385 Loss_D_fake -0.009258
[1082/5000][390/535][111595] Loss_D: -0.021844 Loss_G: 0.009140 Loss_D_real: -0.017584 Loss_D_fake 0.004259
[1082/5000][395/535][111596] Loss_D: -0.022532 Loss_G: -0.006374 Loss_D_real: -0.016812 Loss_D_fake 0.005720
[1082/5000][400/535][111597] Loss_D: -0.020846 Loss_G: -0.001950 Loss_D_real: -0.003034 Loss_D_fake 0.017813
[1082/5000][405/535][111598] Loss_D: -0.022371 Loss_G: 0.016263 Loss_D_real: -0.022750 Loss_D_fake -0.000380
[1082/5000][410/535][111599] Loss_D: -0.021156 Loss_G: -0.006529 Loss_D_real: -0.008963 Loss_D_fake 0.012193
[1082/5000][415/535][111600] Loss_D: -0.023058 Loss_G: -0.012701 Loss_D_real: -0.009453 Loss_D_fake 0.013605
[1082/5000][420/535][111601] Loss_D: -0.019464 Loss_G: 0.031204 Loss_D_real: -0.032057 Loss_D_fake -0.012593
[1082/5000][425/535][111602] Loss_D: -0.021162 Loss_G: 0.023708 Loss_D_real: -0.025193 Loss_D_fake -0.004031
[1082/5000][430/535][111603] Loss_D: -0.021302 Loss_G: -0.000601 Loss_D_real: -0.013747 Loss_D_fake 0.007556
[1082/5000][435/535][111604] Loss_D: -0.021096 Loss_G: 0.029769 Loss_D_real: -0.030571 Loss_D_fake -0.009475
[1082/5000][440/535][111605] Loss_D: -0.023326 Loss_G: -0.013469 Loss_D_real: -0.009563 Loss_D_fake 0.013764
[1082/5000][445/535][111606] Loss_D: -0.022099 Loss_G: 0.019188 Loss_D_real: -0.017092 Loss_D_fake 0.005007
[1082/5000][450/535][111607] Loss_D: -0.022363 Loss_G: 0.023318 Loss_D_real: -0.035036 Loss_D_fake -0.012674
[1082/5000][455/535][111608] Loss_D: -0.022284 Loss_G: -0.015040 Loss_D_real: -0.005639 Loss_D_fake 0.016644
[1082/5000][460/535][111609] Loss_D: -0.021929 Loss_G: 0.020736 Loss_D_real: -0.031982 Loss_D_fake -0.010053
[1082/5000][465/535][111610] Loss_D: -0.022783 Loss_G: 0.001779 Loss_D_real: -0.012398 Loss_D_fake 0.010385
[1082/5000][470/535][111611] Loss_D: -0.021015 Loss_G: 0.019034 Loss_D_real: -0.028694 Loss_D_fake -0.007679
[1082/5000][475/535][111612] Loss_D: -0.020878 Loss_G: 0.023912 Loss_D_real: -0.024579 Loss_D_fake -0.003701
[1082/5000][480/535][111613] Loss_D: -0.021655 Loss_G: 0.007925 Loss_D_real: -0.011647 Loss_D_fake 0.010008
[1082/5000][485/535][111614] Loss_D: -0.022848 Loss_G: 0.002695 Loss_D_real: -0.019035 Loss_D_fake 0.003813
[1082/5000][490/535][111615] Loss_D: -0.020095 Loss_G: -0.001394 Loss_D_real: -0.002921 Loss_D_fake 0.017174
[1082/5000][495/535][111616] Loss_D: -0.021332 Loss_G: 0.026452 Loss_D_real: -0.033365 Loss_D_fake -0.012033
[1082/5000][500/535][111617] Loss_D: -0.021380 Loss_G: 0.012137 Loss_D_real: -0.021242 Loss_D_fake 0.000139
[1082/5000][505/535][111618] Loss_D: -0.021245 Loss_G: 0.005064 Loss_D_real: -0.008412 Loss_D_fake 0.012833
[1082/5000][510/535][111619] Loss_D: -0.022990 Loss_G: 0.007659 Loss_D_real: -0.025609 Loss_D_fake -0.002619
[1082/5000][515/535][111620] Loss_D: -0.021567 Loss_G: 0.001951 Loss_D_real: -0.011708 Loss_D_fake 0.009859
[1082/5000][520/535][111621] Loss_D: -0.021662 Loss_G: 0.014888 Loss_D_real: -0.018130 Loss_D_fake 0.003532
[1082/5000][525/535][111622] Loss_D: -0.022885 Loss_G: -0.007616 Loss_D_real: -0.005837 Loss_D_fake 0.017049
[1082/5000][530/535][111623] Loss_D: -0.022050 Loss_G: -0.003474 Loss_D_real: -0.011518 Loss_D_fake 0.010532
[1082/5000][535/535][111624] Loss_D: -0.020637 Loss_G: 0.026599 Loss_D_real: -0.018364 Loss_D_fake 0.002272
[1083/5000][5/535][111625] Loss_D: -0.021462 Loss_G: 0.002868 Loss_D_real: -0.017783 Loss_D_fake 0.003679
[1083/5000][10/535][111626] Loss_D: -0.022571 Loss_G: 0.002081 Loss_D_real: -0.005741 Loss_D_fake 0.016830
[1083/5000][15/535][111627] Loss_D: -0.020403 Loss_G: 0.023953 Loss_D_real: -0.026957 Loss_D_fake -0.006555
[1083/5000][20/535][111628] Loss_D: -0.022755 Loss_G: 0.013901 Loss_D_real: -0.028247 Loss_D_fake -0.005493
[1083/5000][25/535][111629] Loss_D: -0.023752 Loss_G: 0.013050 Loss_D_real: -0.011554 Loss_D_fake 0.012199
[1083/5000][30/535][111630] Loss_D: -0.022306 Loss_G: -0.016366 Loss_D_real: -0.006459 Loss_D_fake 0.015847
[1083/5000][35/535][111631] Loss_D: -0.021634 Loss_G: -0.005161 Loss_D_real: -0.015219 Loss_D_fake 0.006415
[1083/5000][40/535][111632] Loss_D: -0.020990 Loss_G: 0.003579 Loss_D_real: -0.005733 Loss_D_fake 0.015257
[1083/5000][45/535][111633] Loss_D: -0.020764 Loss_G: 0.027541 Loss_D_real: -0.023288 Loss_D_fake -0.002524
[1083/5000][50/535][111634] Loss_D: -0.021822 Loss_G: 0.010567 Loss_D_real: -0.016400 Loss_D_fake 0.005422
[1083/5000][55/535][111635] Loss_D: -0.021718 Loss_G: 0.015060 Loss_D_real: -0.021738 Loss_D_fake -0.000019
[1083/5000][60/535][111636] Loss_D: -0.020052 Loss_G: 0.025853 Loss_D_real: -0.029814 Loss_D_fake -0.009763
[1083/5000][65/535][111637] Loss_D: -0.020602 Loss_G: 0.014100 Loss_D_real: -0.031365 Loss_D_fake -0.010762
[1083/5000][70/535][111638] Loss_D: -0.020097 Loss_G: 0.022557 Loss_D_real: -0.027141 Loss_D_fake -0.007044
[1083/5000][75/535][111639] Loss_D: -0.022591 Loss_G: 0.019504 Loss_D_real: -0.033966 Loss_D_fake -0.011375
[1083/5000][80/535][111640] Loss_D: -0.020111 Loss_G: 0.031354 Loss_D_real: -0.029452 Loss_D_fake -0.009340
[1083/5000][85/535][111641] Loss_D: -0.021825 Loss_G: 0.005669 Loss_D_real: -0.013782 Loss_D_fake 0.008043
[1083/5000][90/535][111642] Loss_D: -0.022021 Loss_G: 0.014578 Loss_D_real: -0.025041 Loss_D_fake -0.003020
[1083/5000][95/535][111643] Loss_D: -0.021412 Loss_G: 0.018621 Loss_D_real: -0.029548 Loss_D_fake -0.008137
[1083/5000][100/535][111644] Loss_D: -0.023759 Loss_G: 0.009507 Loss_D_real: -0.021382 Loss_D_fake 0.002377
[1083/5000][105/535][111645] Loss_D: -0.022947 Loss_G: -0.007041 Loss_D_real: -0.020177 Loss_D_fake 0.002770
[1083/5000][110/535][111646] Loss_D: -0.021309 Loss_G: 0.013196 Loss_D_real: -0.024641 Loss_D_fake -0.003331
[1083/5000][115/535][111647] Loss_D: -0.022479 Loss_G: 0.019519 Loss_D_real: -0.038843 Loss_D_fake -0.016364
[1083/5000][120/535][111648] Loss_D: -0.023208 Loss_G: 0.014161 Loss_D_real: -0.018147 Loss_D_fake 0.005061
[1083/5000][125/535][111649] Loss_D: -0.022604 Loss_G: 0.022495 Loss_D_real: -0.028218 Loss_D_fake -0.005614
[1083/5000][130/535][111650] Loss_D: -0.022302 Loss_G: 0.002706 Loss_D_real: -0.025194 Loss_D_fake -0.002892
[1083/5000][135/535][111651] Loss_D: -0.022734 Loss_G: 0.010989 Loss_D_real: -0.025927 Loss_D_fake -0.003193
[1083/5000][140/535][111652] Loss_D: -0.022221 Loss_G: -0.012409 Loss_D_real: -0.001755 Loss_D_fake 0.020465
[1083/5000][145/535][111653] Loss_D: -0.021009 Loss_G: 0.007455 Loss_D_real: -0.012693 Loss_D_fake 0.008316
[1083/5000][150/535][111654] Loss_D: -0.020858 Loss_G: 0.001708 Loss_D_real: -0.012280 Loss_D_fake 0.008578
[1083/5000][155/535][111655] Loss_D: -0.021143 Loss_G: 0.021635 Loss_D_real: -0.028433 Loss_D_fake -0.007290
[1083/5000][160/535][111656] Loss_D: -0.021999 Loss_G: 0.026331 Loss_D_real: -0.022353 Loss_D_fake -0.000354
[1083/5000][165/535][111657] Loss_D: -0.023435 Loss_G: -0.006913 Loss_D_real: -0.016583 Loss_D_fake 0.006853
[1083/5000][170/535][111658] Loss_D: -0.020951 Loss_G: 0.007802 Loss_D_real: -0.014734 Loss_D_fake 0.006216
[1083/5000][175/535][111659] Loss_D: -0.020661 Loss_G: -0.005054 Loss_D_real: -0.006321 Loss_D_fake 0.014340
[1083/5000][180/535][111660] Loss_D: -0.020611 Loss_G: -0.001420 Loss_D_real: -0.020109 Loss_D_fake 0.000502
[1083/5000][185/535][111661] Loss_D: -0.020427 Loss_G: -0.013102 Loss_D_real: 0.003615 Loss_D_fake 0.024042
[1083/5000][190/535][111662] Loss_D: -0.020887 Loss_G: 0.011255 Loss_D_real: -0.019656 Loss_D_fake 0.001231
[1083/5000][195/535][111663] Loss_D: -0.022055 Loss_G: -0.008653 Loss_D_real: -0.005881 Loss_D_fake 0.016174
[1083/5000][200/535][111664] Loss_D: -0.022236 Loss_G: -0.014117 Loss_D_real: 0.003251 Loss_D_fake 0.025487
[1083/5000][205/535][111665] Loss_D: -0.022652 Loss_G: 0.020132 Loss_D_real: -0.023118 Loss_D_fake -0.000466
[1083/5000][210/535][111666] Loss_D: -0.022303 Loss_G: 0.002883 Loss_D_real: -0.013947 Loss_D_fake 0.008356
[1083/5000][215/535][111667] Loss_D: -0.022404 Loss_G: 0.026956 Loss_D_real: -0.025118 Loss_D_fake -0.002714
[1083/5000][220/535][111668] Loss_D: -0.021372 Loss_G: -0.003981 Loss_D_real: -0.009963 Loss_D_fake 0.011409
[1083/5000][225/535][111669] Loss_D: -0.021971 Loss_G: -0.010206 Loss_D_real: -0.008511 Loss_D_fake 0.013460
[1083/5000][230/535][111670] Loss_D: -0.020507 Loss_G: 0.024504 Loss_D_real: -0.017814 Loss_D_fake 0.002692
[1083/5000][235/535][111671] Loss_D: -0.021398 Loss_G: -0.003544 Loss_D_real: -0.022683 Loss_D_fake -0.001285
[1083/5000][240/535][111672] Loss_D: -0.020488 Loss_G: 0.009187 Loss_D_real: -0.016602 Loss_D_fake 0.003886
[1083/5000][245/535][111673] Loss_D: -0.021936 Loss_G: 0.010065 Loss_D_real: -0.016784 Loss_D_fake 0.005152
[1083/5000][250/535][111674] Loss_D: -0.021702 Loss_G: 0.011596 Loss_D_real: -0.012721 Loss_D_fake 0.008981
[1083/5000][255/535][111675] Loss_D: -0.021315 Loss_G: -0.001964 Loss_D_real: -0.016464 Loss_D_fake 0.004851
[1083/5000][260/535][111676] Loss_D: -0.023014 Loss_G: -0.002480 Loss_D_real: -0.014373 Loss_D_fake 0.008642
[1083/5000][265/535][111677] Loss_D: -0.021247 Loss_G: 0.018573 Loss_D_real: -0.031403 Loss_D_fake -0.010155
[1083/5000][270/535][111678] Loss_D: -0.022268 Loss_G: 0.015065 Loss_D_real: -0.025462 Loss_D_fake -0.003194
[1083/5000][275/535][111679] Loss_D: -0.022164 Loss_G: 0.006397 Loss_D_real: -0.009471 Loss_D_fake 0.012693
[1083/5000][280/535][111680] Loss_D: -0.020697 Loss_G: 0.034990 Loss_D_real: -0.032779 Loss_D_fake -0.012082
[1083/5000][285/535][111681] Loss_D: -0.021239 Loss_G: -0.012572 Loss_D_real: -0.001841 Loss_D_fake 0.019398
[1083/5000][290/535][111682] Loss_D: -0.022510 Loss_G: 0.008536 Loss_D_real: -0.017395 Loss_D_fake 0.005115
[1083/5000][295/535][111683] Loss_D: -0.020664 Loss_G: 0.022090 Loss_D_real: -0.027048 Loss_D_fake -0.006385
[1083/5000][300/535][111684] Loss_D: -0.020729 Loss_G: 0.003571 Loss_D_real: -0.021679 Loss_D_fake -0.000950
[1083/5000][305/535][111685] Loss_D: -0.021193 Loss_G: 0.001028 Loss_D_real: -0.009295 Loss_D_fake 0.011897
[1083/5000][310/535][111686] Loss_D: -0.021426 Loss_G: 0.005081 Loss_D_real: -0.021391 Loss_D_fake 0.000036
[1083/5000][315/535][111687] Loss_D: -0.022975 Loss_G: 0.005649 Loss_D_real: -0.012940 Loss_D_fake 0.010035
[1083/5000][320/535][111688] Loss_D: -0.022599 Loss_G: 0.005877 Loss_D_real: -0.020293 Loss_D_fake 0.002306
[1083/5000][325/535][111689] Loss_D: -0.021438 Loss_G: 0.000831 Loss_D_real: -0.016591 Loss_D_fake 0.004847
[1083/5000][330/535][111690] Loss_D: -0.021441 Loss_G: 0.020499 Loss_D_real: -0.022747 Loss_D_fake -0.001306
[1083/5000][335/535][111691] Loss_D: -0.022270 Loss_G: -0.003899 Loss_D_real: -0.014779 Loss_D_fake 0.007491
[1083/5000][340/535][111692] Loss_D: -0.022203 Loss_G: 0.013429 Loss_D_real: -0.026536 Loss_D_fake -0.004333
[1083/5000][345/535][111693] Loss_D: -0.021368 Loss_G: 0.006555 Loss_D_real: -0.013648 Loss_D_fake 0.007720
[1083/5000][350/535][111694] Loss_D: -0.021915 Loss_G: 0.008863 Loss_D_real: -0.016021 Loss_D_fake 0.005894
[1083/5000][355/535][111695] Loss_D: -0.022415 Loss_G: 0.010439 Loss_D_real: -0.024509 Loss_D_fake -0.002095
[1083/5000][360/535][111696] Loss_D: -0.019811 Loss_G: -0.013024 Loss_D_real: 0.006723 Loss_D_fake 0.026534
[1083/5000][365/535][111697] Loss_D: -0.022273 Loss_G: 0.005916 Loss_D_real: -0.022216 Loss_D_fake 0.000057
[1083/5000][370/535][111698] Loss_D: -0.021628 Loss_G: 0.023139 Loss_D_real: -0.019089 Loss_D_fake 0.002540
[1083/5000][375/535][111699] Loss_D: -0.020882 Loss_G: 0.010915 Loss_D_real: -0.013330 Loss_D_fake 0.007552
[1083/5000][380/535][111700] Loss_D: -0.020833 Loss_G: -0.006680 Loss_D_real: -0.010477 Loss_D_fake 0.010356
[1083/5000][385/535][111701] Loss_D: -0.022334 Loss_G: 0.010092 Loss_D_real: -0.021430 Loss_D_fake 0.000903
[1083/5000][390/535][111702] Loss_D: -0.021115 Loss_G: 0.001126 Loss_D_real: -0.002046 Loss_D_fake 0.019069
[1083/5000][395/535][111703] Loss_D: -0.021691 Loss_G: 0.002147 Loss_D_real: -0.016558 Loss_D_fake 0.005133
[1083/5000][400/535][111704] Loss_D: -0.021857 Loss_G: -0.007431 Loss_D_real: -0.025450 Loss_D_fake -0.003593
[1083/5000][405/535][111705] Loss_D: -0.022870 Loss_G: 0.012431 Loss_D_real: -0.013890 Loss_D_fake 0.008980
[1083/5000][410/535][111706] Loss_D: -0.022360 Loss_G: 0.024217 Loss_D_real: -0.026950 Loss_D_fake -0.004590
[1083/5000][415/535][111707] Loss_D: -0.020543 Loss_G: 0.027301 Loss_D_real: -0.037496 Loss_D_fake -0.016954
[1083/5000][420/535][111708] Loss_D: -0.020721 Loss_G: -0.006962 Loss_D_real: -0.023713 Loss_D_fake -0.002992
[1083/5000][425/535][111709] Loss_D: -0.020695 Loss_G: 0.016355 Loss_D_real: -0.028434 Loss_D_fake -0.007739
[1083/5000][430/535][111710] Loss_D: -0.022574 Loss_G: 0.011917 Loss_D_real: -0.026531 Loss_D_fake -0.003957
[1083/5000][435/535][111711] Loss_D: -0.021221 Loss_G: -0.000315 Loss_D_real: -0.006936 Loss_D_fake 0.014285
[1083/5000][440/535][111712] Loss_D: -0.021702 Loss_G: 0.018617 Loss_D_real: -0.032737 Loss_D_fake -0.011035
[1083/5000][445/535][111713] Loss_D: -0.020849 Loss_G: -0.003237 Loss_D_real: 0.002430 Loss_D_fake 0.023279
[1083/5000][450/535][111714] Loss_D: -0.020978 Loss_G: 0.018042 Loss_D_real: -0.015377 Loss_D_fake 0.005601
[1083/5000][455/535][111715] Loss_D: -0.022274 Loss_G: 0.005250 Loss_D_real: -0.014758 Loss_D_fake 0.007516
[1083/5000][460/535][111716] Loss_D: -0.021165 Loss_G: 0.005173 Loss_D_real: -0.022337 Loss_D_fake -0.001172
[1083/5000][465/535][111717] Loss_D: -0.021078 Loss_G: 0.011822 Loss_D_real: -0.023090 Loss_D_fake -0.002012
[1083/5000][470/535][111718] Loss_D: -0.021651 Loss_G: -0.003645 Loss_D_real: -0.016981 Loss_D_fake 0.004670
[1083/5000][475/535][111719] Loss_D: -0.022693 Loss_G: 0.023383 Loss_D_real: -0.026428 Loss_D_fake -0.003735
[1083/5000][480/535][111720] Loss_D: -0.024041 Loss_G: 0.022943 Loss_D_real: -0.025619 Loss_D_fake -0.001578
[1083/5000][485/535][111721] Loss_D: -0.023201 Loss_G: 0.005390 Loss_D_real: -0.024933 Loss_D_fake -0.001732
[1083/5000][490/535][111722] Loss_D: -0.022184 Loss_G: 0.020572 Loss_D_real: -0.028389 Loss_D_fake -0.006205
[1083/5000][495/535][111723] Loss_D: -0.022801 Loss_G: 0.012140 Loss_D_real: -0.020632 Loss_D_fake 0.002169
[1083/5000][500/535][111724] Loss_D: -0.022722 Loss_G: -0.002489 Loss_D_real: -0.004449 Loss_D_fake 0.018273
[1083/5000][505/535][111725] Loss_D: -0.022367 Loss_G: -0.003930 Loss_D_real: -0.013801 Loss_D_fake 0.008566
[1083/5000][510/535][111726] Loss_D: -0.021322 Loss_G: 0.012094 Loss_D_real: -0.008628 Loss_D_fake 0.012695
[1083/5000][515/535][111727] Loss_D: -0.020927 Loss_G: 0.001339 Loss_D_real: -0.015214 Loss_D_fake 0.005713
[1083/5000][520/535][111728] Loss_D: -0.021223 Loss_G: 0.008043 Loss_D_real: -0.016474 Loss_D_fake 0.004749
[1083/5000][525/535][111729] Loss_D: -0.021777 Loss_G: 0.017682 Loss_D_real: -0.016111 Loss_D_fake 0.005666
[1083/5000][530/535][111730] Loss_D: -0.022960 Loss_G: 0.012391 Loss_D_real: -0.007792 Loss_D_fake 0.015168
[1083/5000][535/535][111731] Loss_D: -0.020804 Loss_G: 0.011175 Loss_D_real: -0.027451 Loss_D_fake -0.006647
[1084/5000][5/535][111732] Loss_D: -0.020755 Loss_G: 0.020106 Loss_D_real: -0.033623 Loss_D_fake -0.012868
[1084/5000][10/535][111733] Loss_D: -0.020464 Loss_G: -0.003847 Loss_D_real: -0.007753 Loss_D_fake 0.012710
[1084/5000][15/535][111734] Loss_D: -0.021848 Loss_G: -0.006553 Loss_D_real: -0.011168 Loss_D_fake 0.010681
[1084/5000][20/535][111735] Loss_D: -0.021559 Loss_G: 0.015842 Loss_D_real: -0.012855 Loss_D_fake 0.008704
[1084/5000][25/535][111736] Loss_D: -0.021779 Loss_G: 0.003761 Loss_D_real: -0.021965 Loss_D_fake -0.000186
[1084/5000][30/535][111737] Loss_D: -0.023593 Loss_G: 0.011095 Loss_D_real: -0.015930 Loss_D_fake 0.007662
[1084/5000][35/535][111738] Loss_D: -0.022213 Loss_G: 0.001571 Loss_D_real: -0.009144 Loss_D_fake 0.013069
[1084/5000][40/535][111739] Loss_D: -0.021414 Loss_G: 0.018822 Loss_D_real: -0.023136 Loss_D_fake -0.001721
[1084/5000][45/535][111740] Loss_D: -0.022880 Loss_G: 0.007929 Loss_D_real: -0.020966 Loss_D_fake 0.001915
[1084/5000][50/535][111741] Loss_D: -0.022841 Loss_G: 0.014945 Loss_D_real: -0.030194 Loss_D_fake -0.007354
[1084/5000][55/535][111742] Loss_D: -0.023608 Loss_G: 0.002935 Loss_D_real: -0.021077 Loss_D_fake 0.002531
[1084/5000][60/535][111743] Loss_D: -0.020082 Loss_G: 0.025926 Loss_D_real: -0.032799 Loss_D_fake -0.012716
[1084/5000][65/535][111744] Loss_D: -0.022074 Loss_G: 0.019677 Loss_D_real: -0.027894 Loss_D_fake -0.005820
[1084/5000][70/535][111745] Loss_D: -0.021235 Loss_G: 0.004943 Loss_D_real: -0.023013 Loss_D_fake -0.001777
[1084/5000][75/535][111746] Loss_D: -0.021827 Loss_G: 0.021259 Loss_D_real: -0.022633 Loss_D_fake -0.000806
[1084/5000][80/535][111747] Loss_D: -0.022468 Loss_G: -0.007562 Loss_D_real: -0.017944 Loss_D_fake 0.004525
[1084/5000][85/535][111748] Loss_D: -0.020915 Loss_G: 0.011139 Loss_D_real: -0.028100 Loss_D_fake -0.007185
[1084/5000][90/535][111749] Loss_D: -0.020192 Loss_G: 0.008564 Loss_D_real: -0.027943 Loss_D_fake -0.007751
[1084/5000][95/535][111750] Loss_D: -0.021338 Loss_G: 0.004245 Loss_D_real: -0.012395 Loss_D_fake 0.008943
[1084/5000][100/535][111751] Loss_D: -0.021994 Loss_G: 0.001121 Loss_D_real: -0.011687 Loss_D_fake 0.010306
[1084/5000][105/535][111752] Loss_D: -0.022463 Loss_G: 0.013475 Loss_D_real: -0.034183 Loss_D_fake -0.011720
[1084/5000][110/535][111753] Loss_D: -0.021914 Loss_G: 0.001679 Loss_D_real: -0.020588 Loss_D_fake 0.001327
[1084/5000][115/535][111754] Loss_D: -0.022020 Loss_G: -0.006224 Loss_D_real: -0.014001 Loss_D_fake 0.008019
[1084/5000][120/535][111755] Loss_D: -0.021134 Loss_G: 0.001400 Loss_D_real: -0.006854 Loss_D_fake 0.014280
[1084/5000][125/535][111756] Loss_D: -0.021847 Loss_G: 0.005359 Loss_D_real: -0.015833 Loss_D_fake 0.006014
[1084/5000][130/535][111757] Loss_D: -0.020959 Loss_G: -0.001901 Loss_D_real: -0.018161 Loss_D_fake 0.002798
[1084/5000][135/535][111758] Loss_D: -0.021440 Loss_G: -0.016781 Loss_D_real: -0.001952 Loss_D_fake 0.019489
[1084/5000][140/535][111759] Loss_D: -0.021979 Loss_G: 0.007256 Loss_D_real: -0.018815 Loss_D_fake 0.003163
[1084/5000][145/535][111760] Loss_D: -0.023481 Loss_G: 0.011789 Loss_D_real: -0.009362 Loss_D_fake 0.014119
[1084/5000][150/535][111761] Loss_D: -0.022950 Loss_G: 0.028977 Loss_D_real: -0.029620 Loss_D_fake -0.006671
[1084/5000][155/535][111762] Loss_D: -0.022954 Loss_G: -0.001109 Loss_D_real: -0.006755 Loss_D_fake 0.016198
[1084/5000][160/535][111763] Loss_D: -0.021503 Loss_G: 0.020775 Loss_D_real: -0.022886 Loss_D_fake -0.001383
[1084/5000][165/535][111764] Loss_D: -0.021282 Loss_G: -0.003821 Loss_D_real: -0.000120 Loss_D_fake 0.021162
[1084/5000][170/535][111765] Loss_D: -0.020637 Loss_G: 0.020848 Loss_D_real: -0.024105 Loss_D_fake -0.003469
[1084/5000][175/535][111766] Loss_D: -0.022013 Loss_G: 0.008794 Loss_D_real: -0.020888 Loss_D_fake 0.001125
[1084/5000][180/535][111767] Loss_D: -0.021226 Loss_G: 0.019349 Loss_D_real: -0.024851 Loss_D_fake -0.003625
[1084/5000][185/535][111768] Loss_D: -0.021312 Loss_G: -0.004621 Loss_D_real: -0.010667 Loss_D_fake 0.010645
[1084/5000][190/535][111769] Loss_D: -0.019805 Loss_G: 0.020470 Loss_D_real: -0.032213 Loss_D_fake -0.012407
[1084/5000][195/535][111770] Loss_D: -0.022516 Loss_G: 0.012306 Loss_D_real: -0.020986 Loss_D_fake 0.001530
[1084/5000][200/535][111771] Loss_D: -0.021540 Loss_G: -0.011374 Loss_D_real: 0.001767 Loss_D_fake 0.023307
[1084/5000][205/535][111772] Loss_D: -0.021950 Loss_G: -0.003497 Loss_D_real: -0.022265 Loss_D_fake -0.000315
[1084/5000][210/535][111773] Loss_D: -0.021774 Loss_G: 0.021965 Loss_D_real: -0.022846 Loss_D_fake -0.001072
[1084/5000][215/535][111774] Loss_D: -0.021867 Loss_G: 0.006003 Loss_D_real: -0.019706 Loss_D_fake 0.002160
[1084/5000][220/535][111775] Loss_D: -0.021744 Loss_G: -0.001510 Loss_D_real: -0.013045 Loss_D_fake 0.008700
[1084/5000][225/535][111776] Loss_D: -0.021510 Loss_G: 0.000014 Loss_D_real: -0.016561 Loss_D_fake 0.004949
[1084/5000][230/535][111777] Loss_D: -0.019756 Loss_G: 0.025108 Loss_D_real: -0.030334 Loss_D_fake -0.010578
[1084/5000][235/535][111778] Loss_D: -0.022173 Loss_G: 0.000331 Loss_D_real: -0.005069 Loss_D_fake 0.017103
[1084/5000][240/535][111779] Loss_D: -0.021819 Loss_G: 0.014989 Loss_D_real: -0.035783 Loss_D_fake -0.013965
[1084/5000][245/535][111780] Loss_D: -0.022497 Loss_G: 0.000304 Loss_D_real: -0.007792 Loss_D_fake 0.014705
[1084/5000][250/535][111781] Loss_D: -0.022304 Loss_G: 0.001986 Loss_D_real: -0.006485 Loss_D_fake 0.015819
[1084/5000][255/535][111782] Loss_D: -0.020967 Loss_G: 0.008462 Loss_D_real: -0.016169 Loss_D_fake 0.004798
[1084/5000][260/535][111783] Loss_D: -0.021198 Loss_G: 0.021490 Loss_D_real: -0.017765 Loss_D_fake 0.003433
[1084/5000][265/535][111784] Loss_D: -0.018878 Loss_G: 0.027527 Loss_D_real: -0.033466 Loss_D_fake -0.014588
[1084/5000][270/535][111785] Loss_D: -0.020519 Loss_G: 0.009321 Loss_D_real: -0.019731 Loss_D_fake 0.000788
[1084/5000][275/535][111786] Loss_D: -0.021487 Loss_G: 0.013053 Loss_D_real: -0.018098 Loss_D_fake 0.003388
[1084/5000][280/535][111787] Loss_D: -0.022002 Loss_G: 0.012516 Loss_D_real: -0.017015 Loss_D_fake 0.004986
[1084/5000][285/535][111788] Loss_D: -0.021601 Loss_G: 0.016580 Loss_D_real: -0.027353 Loss_D_fake -0.005753
[1084/5000][290/535][111789] Loss_D: -0.022469 Loss_G: -0.006651 Loss_D_real: -0.007484 Loss_D_fake 0.014986
[1084/5000][295/535][111790] Loss_D: -0.021398 Loss_G: 0.021950 Loss_D_real: -0.027834 Loss_D_fake -0.006436
[1084/5000][300/535][111791] Loss_D: -0.021931 Loss_G: 0.004838 Loss_D_real: -0.009420 Loss_D_fake 0.012511
[1084/5000][305/535][111792] Loss_D: -0.022846 Loss_G: 0.004925 Loss_D_real: -0.013239 Loss_D_fake 0.009607
[1084/5000][310/535][111793] Loss_D: -0.021815 Loss_G: -0.007992 Loss_D_real: -0.010061 Loss_D_fake 0.011754
[1084/5000][315/535][111794] Loss_D: -0.021868 Loss_G: 0.010434 Loss_D_real: -0.024602 Loss_D_fake -0.002735
[1084/5000][320/535][111795] Loss_D: -0.021838 Loss_G: 0.020098 Loss_D_real: -0.030967 Loss_D_fake -0.009129
[1084/5000][325/535][111796] Loss_D: -0.022112 Loss_G: 0.017035 Loss_D_real: -0.023202 Loss_D_fake -0.001090
[1084/5000][330/535][111797] Loss_D: -0.022460 Loss_G: 0.021039 Loss_D_real: -0.025509 Loss_D_fake -0.003049
[1084/5000][335/535][111798] Loss_D: -0.022290 Loss_G: 0.013881 Loss_D_real: -0.023284 Loss_D_fake -0.000993
[1084/5000][340/535][111799] Loss_D: -0.021313 Loss_G: 0.008613 Loss_D_real: -0.013175 Loss_D_fake 0.008138
[1084/5000][345/535][111800] Loss_D: -0.022005 Loss_G: 0.025383 Loss_D_real: -0.033338 Loss_D_fake -0.011333
[1084/5000][350/535][111801] Loss_D: -0.023575 Loss_G: -0.003054 Loss_D_real: -0.016458 Loss_D_fake 0.007118
[1084/5000][355/535][111802] Loss_D: -0.022089 Loss_G: 0.009873 Loss_D_real: -0.021599 Loss_D_fake 0.000491
[1084/5000][360/535][111803] Loss_D: -0.022107 Loss_G: 0.017177 Loss_D_real: -0.027215 Loss_D_fake -0.005108
[1084/5000][365/535][111804] Loss_D: -0.023065 Loss_G: -0.007204 Loss_D_real: -0.009206 Loss_D_fake 0.013859
[1084/5000][370/535][111805] Loss_D: -0.020986 Loss_G: 0.007601 Loss_D_real: -0.022366 Loss_D_fake -0.001379
[1084/5000][375/535][111806] Loss_D: -0.021056 Loss_G: 0.017969 Loss_D_real: -0.032206 Loss_D_fake -0.011150
[1084/5000][380/535][111807] Loss_D: -0.022263 Loss_G: -0.003484 Loss_D_real: -0.001724 Loss_D_fake 0.020539
[1084/5000][385/535][111808] Loss_D: -0.022824 Loss_G: 0.002657 Loss_D_real: -0.018140 Loss_D_fake 0.004685
[1084/5000][390/535][111809] Loss_D: -0.021427 Loss_G: 0.024755 Loss_D_real: -0.037436 Loss_D_fake -0.016009
[1084/5000][395/535][111810] Loss_D: -0.021492 Loss_G: 0.004978 Loss_D_real: -0.013874 Loss_D_fake 0.007619
[1084/5000][400/535][111811] Loss_D: -0.021714 Loss_G: -0.002201 Loss_D_real: -0.016065 Loss_D_fake 0.005649
[1084/5000][405/535][111812] Loss_D: -0.021958 Loss_G: 0.010332 Loss_D_real: -0.038447 Loss_D_fake -0.016490
[1084/5000][410/535][111813] Loss_D: -0.022891 Loss_G: 0.004041 Loss_D_real: -0.020975 Loss_D_fake 0.001915
[1084/5000][415/535][111814] Loss_D: -0.021721 Loss_G: -0.001239 Loss_D_real: -0.011707 Loss_D_fake 0.010015
[1084/5000][420/535][111815] Loss_D: -0.024059 Loss_G: 0.004245 Loss_D_real: -0.005751 Loss_D_fake 0.018309
[1084/5000][425/535][111816] Loss_D: -0.021121 Loss_G: 0.004387 Loss_D_real: -0.025519 Loss_D_fake -0.004398
[1084/5000][430/535][111817] Loss_D: -0.021717 Loss_G: 0.019326 Loss_D_real: -0.025630 Loss_D_fake -0.003913
[1084/5000][435/535][111818] Loss_D: -0.021875 Loss_G: 0.004878 Loss_D_real: -0.021601 Loss_D_fake 0.000274
[1084/5000][440/535][111819] Loss_D: -0.021500 Loss_G: 0.007212 Loss_D_real: -0.021582 Loss_D_fake -0.000082
[1084/5000][445/535][111820] Loss_D: -0.022726 Loss_G: 0.012822 Loss_D_real: -0.030350 Loss_D_fake -0.007624
[1084/5000][450/535][111821] Loss_D: -0.023045 Loss_G: 0.021042 Loss_D_real: -0.023410 Loss_D_fake -0.000365
[1084/5000][455/535][111822] Loss_D: -0.021852 Loss_G: -0.016442 Loss_D_real: -0.010391 Loss_D_fake 0.011461
[1084/5000][460/535][111823] Loss_D: -0.020524 Loss_G: 0.030198 Loss_D_real: -0.033450 Loss_D_fake -0.012927
[1084/5000][465/535][111824] Loss_D: -0.021130 Loss_G: 0.025145 Loss_D_real: -0.024657 Loss_D_fake -0.003527
[1084/5000][470/535][111825] Loss_D: -0.020749 Loss_G: -0.000062 Loss_D_real: -0.019201 Loss_D_fake 0.001548
[1084/5000][475/535][111826] Loss_D: -0.022668 Loss_G: 0.025998 Loss_D_real: -0.019558 Loss_D_fake 0.003110
[1084/5000][480/535][111827] Loss_D: -0.022913 Loss_G: 0.007753 Loss_D_real: -0.020655 Loss_D_fake 0.002258
[1084/5000][485/535][111828] Loss_D: -0.021351 Loss_G: 0.008200 Loss_D_real: -0.024969 Loss_D_fake -0.003617
[1084/5000][490/535][111829] Loss_D: -0.021770 Loss_G: 0.022207 Loss_D_real: -0.031853 Loss_D_fake -0.010083
[1084/5000][495/535][111830] Loss_D: -0.021019 Loss_G: 0.006138 Loss_D_real: -0.018255 Loss_D_fake 0.002764
[1084/5000][500/535][111831] Loss_D: -0.023173 Loss_G: 0.001616 Loss_D_real: -0.014833 Loss_D_fake 0.008339
[1084/5000][505/535][111832] Loss_D: -0.020588 Loss_G: -0.012288 Loss_D_real: -0.000902 Loss_D_fake 0.019685
[1084/5000][510/535][111833] Loss_D: -0.019351 Loss_G: 0.026320 Loss_D_real: -0.033144 Loss_D_fake -0.013794
[1084/5000][515/535][111834] Loss_D: -0.023177 Loss_G: 0.004336 Loss_D_real: -0.009879 Loss_D_fake 0.013297
[1084/5000][520/535][111835] Loss_D: -0.022013 Loss_G: 0.009510 Loss_D_real: -0.022047 Loss_D_fake -0.000034
[1084/5000][525/535][111836] Loss_D: -0.022856 Loss_G: 0.012223 Loss_D_real: -0.010450 Loss_D_fake 0.012406
[1084/5000][530/535][111837] Loss_D: -0.020874 Loss_G: 0.009052 Loss_D_real: -0.021751 Loss_D_fake -0.000877
[1084/5000][535/535][111838] Loss_D: -0.021639 Loss_G: -0.016435 Loss_D_real: -0.010460 Loss_D_fake 0.011179
[1085/5000][5/535][111839] Loss_D: -0.022224 Loss_G: 0.009089 Loss_D_real: -0.021623 Loss_D_fake 0.000601
[1085/5000][10/535][111840] Loss_D: -0.021867 Loss_G: 0.002352 Loss_D_real: -0.008841 Loss_D_fake 0.013026
[1085/5000][15/535][111841] Loss_D: -0.021154 Loss_G: -0.002022 Loss_D_real: -0.001536 Loss_D_fake 0.019618
[1085/5000][20/535][111842] Loss_D: -0.020898 Loss_G: -0.004130 Loss_D_real: -0.007383 Loss_D_fake 0.013515
[1085/5000][25/535][111843] Loss_D: -0.020262 Loss_G: 0.018102 Loss_D_real: -0.024681 Loss_D_fake -0.004420
[1085/5000][30/535][111844] Loss_D: -0.021194 Loss_G: 0.023307 Loss_D_real: -0.027769 Loss_D_fake -0.006575
[1085/5000][35/535][111845] Loss_D: -0.022051 Loss_G: 0.024386 Loss_D_real: -0.014243 Loss_D_fake 0.007807
[1085/5000][40/535][111846] Loss_D: -0.020651 Loss_G: 0.008902 Loss_D_real: -0.011759 Loss_D_fake 0.008893
[1085/5000][45/535][111847] Loss_D: -0.021865 Loss_G: -0.001066 Loss_D_real: -0.014650 Loss_D_fake 0.007216
[1085/5000][50/535][111848] Loss_D: -0.022212 Loss_G: 0.011243 Loss_D_real: -0.032501 Loss_D_fake -0.010289
[1085/5000][55/535][111849] Loss_D: -0.022635 Loss_G: 0.008947 Loss_D_real: -0.010897 Loss_D_fake 0.011738
[1085/5000][60/535][111850] Loss_D: -0.022193 Loss_G: 0.010062 Loss_D_real: -0.031542 Loss_D_fake -0.009349
[1085/5000][65/535][111851] Loss_D: -0.021040 Loss_G: -0.008012 Loss_D_real: -0.008009 Loss_D_fake 0.013032
[1085/5000][70/535][111852] Loss_D: -0.021762 Loss_G: 0.023039 Loss_D_real: -0.023067 Loss_D_fake -0.001305
[1085/5000][75/535][111853] Loss_D: -0.023441 Loss_G: 0.018578 Loss_D_real: -0.026516 Loss_D_fake -0.003075
[1085/5000][80/535][111854] Loss_D: -0.022520 Loss_G: -0.013184 Loss_D_real: -0.011642 Loss_D_fake 0.010878
[1085/5000][85/535][111855] Loss_D: -0.020874 Loss_G: 0.012052 Loss_D_real: -0.021382 Loss_D_fake -0.000508
[1085/5000][90/535][111856] Loss_D: -0.021747 Loss_G: 0.010527 Loss_D_real: -0.017673 Loss_D_fake 0.004073
[1085/5000][95/535][111857] Loss_D: -0.023451 Loss_G: 0.012594 Loss_D_real: -0.021022 Loss_D_fake 0.002429
[1085/5000][100/535][111858] Loss_D: -0.022470 Loss_G: 0.016127 Loss_D_real: -0.020568 Loss_D_fake 0.001901
[1085/5000][105/535][111859] Loss_D: -0.021689 Loss_G: 0.011698 Loss_D_real: -0.023173 Loss_D_fake -0.001483
[1085/5000][110/535][111860] Loss_D: -0.022596 Loss_G: -0.004314 Loss_D_real: -0.012738 Loss_D_fake 0.009858
[1085/5000][115/535][111861] Loss_D: -0.022977 Loss_G: -0.020641 Loss_D_real: -0.015684 Loss_D_fake 0.007292
[1085/5000][120/535][111862] Loss_D: -0.022037 Loss_G: 0.001085 Loss_D_real: -0.014352 Loss_D_fake 0.007685
[1085/5000][125/535][111863] Loss_D: -0.020558 Loss_G: 0.015473 Loss_D_real: -0.018166 Loss_D_fake 0.002392
[1085/5000][130/535][111864] Loss_D: -0.022217 Loss_G: 0.005980 Loss_D_real: -0.012180 Loss_D_fake 0.010036
[1085/5000][135/535][111865] Loss_D: -0.020972 Loss_G: 0.006866 Loss_D_real: -0.019275 Loss_D_fake 0.001697
[1085/5000][140/535][111866] Loss_D: -0.019911 Loss_G: 0.028282 Loss_D_real: -0.032983 Loss_D_fake -0.013071
[1085/5000][145/535][111867] Loss_D: -0.021588 Loss_G: -0.006488 Loss_D_real: -0.011094 Loss_D_fake 0.010494
[1085/5000][150/535][111868] Loss_D: -0.020213 Loss_G: 0.020462 Loss_D_real: -0.040161 Loss_D_fake -0.019948
[1085/5000][155/535][111869] Loss_D: -0.022919 Loss_G: 0.023562 Loss_D_real: -0.019146 Loss_D_fake 0.003774
[1085/5000][160/535][111870] Loss_D: -0.021374 Loss_G: -0.002316 Loss_D_real: -0.015375 Loss_D_fake 0.005999
[1085/5000][165/535][111871] Loss_D: -0.021505 Loss_G: 0.017158 Loss_D_real: -0.025971 Loss_D_fake -0.004466
[1085/5000][170/535][111872] Loss_D: -0.022357 Loss_G: -0.004833 Loss_D_real: -0.018457 Loss_D_fake 0.003900
[1085/5000][175/535][111873] Loss_D: -0.023046 Loss_G: -0.000370 Loss_D_real: -0.013657 Loss_D_fake 0.009389
[1085/5000][180/535][111874] Loss_D: -0.022193 Loss_G: 0.014210 Loss_D_real: -0.018980 Loss_D_fake 0.003213
[1085/5000][185/535][111875] Loss_D: -0.021791 Loss_G: 0.009180 Loss_D_real: -0.025552 Loss_D_fake -0.003761
[1085/5000][190/535][111876] Loss_D: -0.021363 Loss_G: 0.012911 Loss_D_real: -0.025822 Loss_D_fake -0.004459
[1085/5000][195/535][111877] Loss_D: -0.023347 Loss_G: 0.008052 Loss_D_real: -0.017705 Loss_D_fake 0.005642
[1085/5000][200/535][111878] Loss_D: -0.021742 Loss_G: 0.001804 Loss_D_real: -0.014542 Loss_D_fake 0.007199
[1085/5000][205/535][111879] Loss_D: -0.022900 Loss_G: 0.000336 Loss_D_real: -0.012331 Loss_D_fake 0.010569
[1085/5000][210/535][111880] Loss_D: -0.023853 Loss_G: 0.009616 Loss_D_real: -0.011953 Loss_D_fake 0.011900
[1085/5000][215/535][111881] Loss_D: -0.020888 Loss_G: -0.012563 Loss_D_real: 0.001789 Loss_D_fake 0.022676
[1085/5000][220/535][111882] Loss_D: -0.021466 Loss_G: 0.000342 Loss_D_real: -0.022860 Loss_D_fake -0.001394
[1085/5000][225/535][111883] Loss_D: -0.019944 Loss_G: -0.001751 Loss_D_real: -0.018154 Loss_D_fake 0.001790
[1085/5000][230/535][111884] Loss_D: -0.021537 Loss_G: 0.030343 Loss_D_real: -0.030080 Loss_D_fake -0.008543
[1085/5000][235/535][111885] Loss_D: -0.020797 Loss_G: -0.005175 Loss_D_real: -0.001469 Loss_D_fake 0.019328
[1085/5000][240/535][111886] Loss_D: -0.021107 Loss_G: 0.016530 Loss_D_real: -0.012822 Loss_D_fake 0.008285
[1085/5000][245/535][111887] Loss_D: -0.020988 Loss_G: 0.019464 Loss_D_real: -0.019964 Loss_D_fake 0.001024
[1085/5000][250/535][111888] Loss_D: -0.020184 Loss_G: 0.025655 Loss_D_real: -0.022141 Loss_D_fake -0.001957
[1085/5000][255/535][111889] Loss_D: -0.021308 Loss_G: 0.014865 Loss_D_real: -0.030630 Loss_D_fake -0.009322
[1085/5000][260/535][111890] Loss_D: -0.020757 Loss_G: 0.021072 Loss_D_real: -0.029464 Loss_D_fake -0.008707
[1085/5000][265/535][111891] Loss_D: -0.021057 Loss_G: 0.000819 Loss_D_real: -0.026352 Loss_D_fake -0.005295
[1085/5000][270/535][111892] Loss_D: -0.022092 Loss_G: 0.003061 Loss_D_real: -0.017103 Loss_D_fake 0.004988
[1085/5000][275/535][111893] Loss_D: -0.021807 Loss_G: 0.010338 Loss_D_real: -0.019786 Loss_D_fake 0.002020
[1085/5000][280/535][111894] Loss_D: -0.022745 Loss_G: 0.001280 Loss_D_real: -0.015556 Loss_D_fake 0.007188
[1085/5000][285/535][111895] Loss_D: -0.022447 Loss_G: 0.005440 Loss_D_real: -0.020432 Loss_D_fake 0.002015
[1085/5000][290/535][111896] Loss_D: -0.021737 Loss_G: -0.000596 Loss_D_real: -0.022094 Loss_D_fake -0.000358
[1085/5000][295/535][111897] Loss_D: -0.021620 Loss_G: 0.015023 Loss_D_real: -0.022344 Loss_D_fake -0.000724
[1085/5000][300/535][111898] Loss_D: -0.023362 Loss_G: 0.011891 Loss_D_real: -0.011909 Loss_D_fake 0.011453
[1085/5000][305/535][111899] Loss_D: -0.022312 Loss_G: 0.015107 Loss_D_real: -0.024841 Loss_D_fake -0.002529
[1085/5000][310/535][111900] Loss_D: -0.022835 Loss_G: 0.009080 Loss_D_real: -0.024738 Loss_D_fake -0.001903
[1085/5000][315/535][111901] Loss_D: -0.023648 Loss_G: 0.013747 Loss_D_real: -0.013811 Loss_D_fake 0.009837
[1085/5000][320/535][111902] Loss_D: -0.022659 Loss_G: 0.002028 Loss_D_real: -0.010752 Loss_D_fake 0.011907
[1085/5000][325/535][111903] Loss_D: -0.021315 Loss_G: -0.016140 Loss_D_real: 0.002084 Loss_D_fake 0.023399
[1085/5000][330/535][111904] Loss_D: -0.019657 Loss_G: 0.023325 Loss_D_real: -0.031380 Loss_D_fake -0.011723
[1085/5000][335/535][111905] Loss_D: -0.021616 Loss_G: 0.029814 Loss_D_real: -0.030691 Loss_D_fake -0.009075
[1085/5000][340/535][111906] Loss_D: -0.020006 Loss_G: -0.014750 Loss_D_real: -0.000919 Loss_D_fake 0.019087
[1085/5000][345/535][111907] Loss_D: -0.021377 Loss_G: 0.014893 Loss_D_real: -0.026017 Loss_D_fake -0.004640
[1085/5000][350/535][111908] Loss_D: -0.021491 Loss_G: 0.019526 Loss_D_real: -0.028012 Loss_D_fake -0.006522
[1085/5000][355/535][111909] Loss_D: -0.022040 Loss_G: 0.005903 Loss_D_real: -0.006442 Loss_D_fake 0.015598
[1085/5000][360/535][111910] Loss_D: -0.021598 Loss_G: 0.019750 Loss_D_real: -0.024497 Loss_D_fake -0.002898
[1085/5000][365/535][111911] Loss_D: -0.022156 Loss_G: -0.000376 Loss_D_real: -0.013475 Loss_D_fake 0.008680
[1085/5000][370/535][111912] Loss_D: -0.020876 Loss_G: 0.013857 Loss_D_real: -0.018462 Loss_D_fake 0.002414
[1085/5000][375/535][111913] Loss_D: -0.021681 Loss_G: 0.011885 Loss_D_real: -0.010313 Loss_D_fake 0.011368
[1085/5000][380/535][111914] Loss_D: -0.021124 Loss_G: -0.008113 Loss_D_real: -0.016669 Loss_D_fake 0.004455
[1085/5000][385/535][111915] Loss_D: -0.022530 Loss_G: 0.024536 Loss_D_real: -0.027463 Loss_D_fake -0.004934
[1085/5000][390/535][111916] Loss_D: -0.021981 Loss_G: -0.002437 Loss_D_real: -0.017344 Loss_D_fake 0.004638
[1085/5000][395/535][111917] Loss_D: -0.021907 Loss_G: -0.001068 Loss_D_real: -0.013845 Loss_D_fake 0.008062
[1085/5000][400/535][111918] Loss_D: -0.023509 Loss_G: 0.006547 Loss_D_real: -0.012310 Loss_D_fake 0.011198
[1085/5000][405/535][111919] Loss_D: -0.022183 Loss_G: -0.005126 Loss_D_real: 0.000600 Loss_D_fake 0.022784
[1085/5000][410/535][111920] Loss_D: -0.022499 Loss_G: 0.021363 Loss_D_real: -0.020897 Loss_D_fake 0.001602
[1085/5000][415/535][111921] Loss_D: -0.021401 Loss_G: 0.026088 Loss_D_real: -0.032485 Loss_D_fake -0.011084
[1085/5000][420/535][111922] Loss_D: -0.020843 Loss_G: 0.004160 Loss_D_real: -0.014910 Loss_D_fake 0.005933
[1085/5000][425/535][111923] Loss_D: -0.021556 Loss_G: 0.009953 Loss_D_real: -0.013228 Loss_D_fake 0.008328
[1085/5000][430/535][111924] Loss_D: -0.021804 Loss_G: 0.017735 Loss_D_real: -0.024627 Loss_D_fake -0.002823
[1085/5000][435/535][111925] Loss_D: -0.022712 Loss_G: -0.025424 Loss_D_real: -0.008484 Loss_D_fake 0.014228
[1085/5000][440/535][111926] Loss_D: -0.022352 Loss_G: -0.001471 Loss_D_real: -0.005339 Loss_D_fake 0.017013
[1085/5000][445/535][111927] Loss_D: -0.022930 Loss_G: -0.002538 Loss_D_real: -0.011486 Loss_D_fake 0.011444
[1085/5000][450/535][111928] Loss_D: -0.021677 Loss_G: 0.030114 Loss_D_real: -0.029319 Loss_D_fake -0.007642
[1085/5000][455/535][111929] Loss_D: -0.022785 Loss_G: -0.008008 Loss_D_real: -0.000409 Loss_D_fake 0.022376
[1085/5000][460/535][111930] Loss_D: -0.021779 Loss_G: 0.011583 Loss_D_real: -0.007107 Loss_D_fake 0.014671
[1085/5000][465/535][111931] Loss_D: -0.017773 Loss_G: 0.028513 Loss_D_real: -0.029649 Loss_D_fake -0.011876
[1085/5000][470/535][111932] Loss_D: -0.021663 Loss_G: -0.000545 Loss_D_real: -0.013732 Loss_D_fake 0.007931
[1085/5000][475/535][111933] Loss_D: -0.021814 Loss_G: 0.005614 Loss_D_real: -0.015083 Loss_D_fake 0.006731
[1085/5000][480/535][111934] Loss_D: -0.021327 Loss_G: 0.008037 Loss_D_real: -0.029701 Loss_D_fake -0.008374
[1085/5000][485/535][111935] Loss_D: -0.021904 Loss_G: 0.010014 Loss_D_real: -0.020971 Loss_D_fake 0.000933
[1085/5000][490/535][111936] Loss_D: -0.022261 Loss_G: 0.016426 Loss_D_real: -0.027966 Loss_D_fake -0.005705
[1085/5000][495/535][111937] Loss_D: -0.021732 Loss_G: -0.000481 Loss_D_real: -0.015002 Loss_D_fake 0.006730
[1085/5000][500/535][111938] Loss_D: -0.021294 Loss_G: 0.025572 Loss_D_real: -0.030044 Loss_D_fake -0.008750
[1085/5000][505/535][111939] Loss_D: -0.021705 Loss_G: 0.019615 Loss_D_real: -0.023375 Loss_D_fake -0.001670
[1085/5000][510/535][111940] Loss_D: -0.021478 Loss_G: -0.002152 Loss_D_real: -0.015780 Loss_D_fake 0.005698
[1085/5000][515/535][111941] Loss_D: -0.020158 Loss_G: 0.035083 Loss_D_real: -0.034882 Loss_D_fake -0.014724
[1085/5000][520/535][111942] Loss_D: -0.021151 Loss_G: 0.014125 Loss_D_real: -0.025403 Loss_D_fake -0.004252
[1085/5000][525/535][111943] Loss_D: -0.022584 Loss_G: 0.006186 Loss_D_real: -0.025534 Loss_D_fake -0.002949
[1085/5000][530/535][111944] Loss_D: -0.021495 Loss_G: 0.007960 Loss_D_real: -0.015175 Loss_D_fake 0.006320
[1085/5000][535/535][111945] Loss_D: -0.026166 Loss_G: 0.017853 Loss_D_real: -0.006992 Loss_D_fake 0.019174
[1086/5000][5/535][111946] Loss_D: -0.022534 Loss_G: -0.005550 Loss_D_real: -0.013907 Loss_D_fake 0.008627
[1086/5000][10/535][111947] Loss_D: -0.022028 Loss_G: 0.015477 Loss_D_real: -0.027582 Loss_D_fake -0.005554
[1086/5000][15/535][111948] Loss_D: -0.021219 Loss_G: -0.009350 Loss_D_real: 0.000648 Loss_D_fake 0.021868
[1086/5000][20/535][111949] Loss_D: -0.019841 Loss_G: 0.026830 Loss_D_real: -0.034862 Loss_D_fake -0.015021
[1086/5000][25/535][111950] Loss_D: -0.022124 Loss_G: 0.005465 Loss_D_real: -0.010724 Loss_D_fake 0.011400
[1086/5000][30/535][111951] Loss_D: -0.022436 Loss_G: 0.003782 Loss_D_real: -0.018750 Loss_D_fake 0.003686
[1086/5000][35/535][111952] Loss_D: -0.021283 Loss_G: 0.015353 Loss_D_real: -0.030795 Loss_D_fake -0.009512
[1086/5000][40/535][111953] Loss_D: -0.022645 Loss_G: 0.017655 Loss_D_real: -0.021510 Loss_D_fake 0.001135
[1086/5000][45/535][111954] Loss_D: -0.022045 Loss_G: 0.003005 Loss_D_real: -0.031853 Loss_D_fake -0.009808
[1086/5000][50/535][111955] Loss_D: -0.021950 Loss_G: 0.016912 Loss_D_real: -0.017467 Loss_D_fake 0.004483
[1086/5000][55/535][111956] Loss_D: -0.021263 Loss_G: -0.000014 Loss_D_real: -0.012035 Loss_D_fake 0.009229
[1086/5000][60/535][111957] Loss_D: -0.021156 Loss_G: 0.021602 Loss_D_real: -0.014596 Loss_D_fake 0.006560
[1086/5000][65/535][111958] Loss_D: -0.023452 Loss_G: 0.013325 Loss_D_real: -0.026990 Loss_D_fake -0.003538
[1086/5000][70/535][111959] Loss_D: -0.022109 Loss_G: 0.013552 Loss_D_real: -0.036641 Loss_D_fake -0.014532
[1086/5000][75/535][111960] Loss_D: -0.021081 Loss_G: 0.021346 Loss_D_real: -0.033084 Loss_D_fake -0.012003
[1086/5000][80/535][111961] Loss_D: -0.021807 Loss_G: -0.006883 Loss_D_real: -0.004559 Loss_D_fake 0.017248
[1086/5000][85/535][111962] Loss_D: -0.022140 Loss_G: -0.004751 Loss_D_real: 0.001425 Loss_D_fake 0.023565
[1086/5000][90/535][111963] Loss_D: -0.021833 Loss_G: 0.003980 Loss_D_real: -0.003169 Loss_D_fake 0.018664
[1086/5000][95/535][111964] Loss_D: -0.022721 Loss_G: -0.002069 Loss_D_real: -0.015459 Loss_D_fake 0.007262
[1086/5000][100/535][111965] Loss_D: -0.022129 Loss_G: -0.000049 Loss_D_real: -0.007146 Loss_D_fake 0.014984
[1086/5000][105/535][111966] Loss_D: -0.021194 Loss_G: -0.010613 Loss_D_real: -0.004822 Loss_D_fake 0.016372
[1086/5000][110/535][111967] Loss_D: -0.021124 Loss_G: -0.005711 Loss_D_real: 0.003662 Loss_D_fake 0.024786
[1086/5000][115/535][111968] Loss_D: -0.021366 Loss_G: 0.003245 Loss_D_real: -0.008421 Loss_D_fake 0.012945
[1086/5000][120/535][111969] Loss_D: -0.022257 Loss_G: 0.014856 Loss_D_real: -0.021638 Loss_D_fake 0.000619
[1086/5000][125/535][111970] Loss_D: -0.020300 Loss_G: -0.001527 Loss_D_real: -0.012872 Loss_D_fake 0.007428
[1086/5000][130/535][111971] Loss_D: -0.020261 Loss_G: 0.004428 Loss_D_real: -0.012809 Loss_D_fake 0.007452
[1086/5000][135/535][111972] Loss_D: -0.022077 Loss_G: 0.007197 Loss_D_real: -0.020184 Loss_D_fake 0.001893
[1086/5000][140/535][111973] Loss_D: -0.021317 Loss_G: -0.004405 Loss_D_real: -0.010503 Loss_D_fake 0.010814
[1086/5000][145/535][111974] Loss_D: -0.020198 Loss_G: 0.019237 Loss_D_real: -0.030231 Loss_D_fake -0.010033
[1086/5000][150/535][111975] Loss_D: -0.020394 Loss_G: 0.016457 Loss_D_real: -0.026875 Loss_D_fake -0.006482
[1086/5000][155/535][111976] Loss_D: -0.021402 Loss_G: 0.031478 Loss_D_real: -0.028484 Loss_D_fake -0.007082
[1086/5000][160/535][111977] Loss_D: -0.022495 Loss_G: 0.012842 Loss_D_real: -0.024873 Loss_D_fake -0.002378
[1086/5000][165/535][111978] Loss_D: -0.021809 Loss_G: -0.015696 Loss_D_real: -0.011251 Loss_D_fake 0.010558
[1086/5000][170/535][111979] Loss_D: -0.021050 Loss_G: 0.003797 Loss_D_real: -0.026549 Loss_D_fake -0.005499
[1086/5000][175/535][111980] Loss_D: -0.021296 Loss_G: 0.012940 Loss_D_real: -0.029083 Loss_D_fake -0.007787
[1086/5000][180/535][111981] Loss_D: -0.022064 Loss_G: 0.023945 Loss_D_real: -0.018928 Loss_D_fake 0.003136
[1086/5000][185/535][111982] Loss_D: -0.021827 Loss_G: -0.004667 Loss_D_real: -0.008701 Loss_D_fake 0.013125
[1086/5000][190/535][111983] Loss_D: -0.023057 Loss_G: 0.013077 Loss_D_real: -0.014608 Loss_D_fake 0.008449
[1086/5000][195/535][111984] Loss_D: -0.022709 Loss_G: 0.009277 Loss_D_real: -0.017036 Loss_D_fake 0.005672
[1086/5000][200/535][111985] Loss_D: -0.021757 Loss_G: 0.018667 Loss_D_real: -0.013662 Loss_D_fake 0.008095
[1086/5000][205/535][111986] Loss_D: -0.022073 Loss_G: -0.004934 Loss_D_real: -0.015688 Loss_D_fake 0.006385
[1086/5000][210/535][111987] Loss_D: -0.021321 Loss_G: -0.004669 Loss_D_real: -0.006241 Loss_D_fake 0.015080
[1086/5000][215/535][111988] Loss_D: -0.022259 Loss_G: 0.010203 Loss_D_real: -0.025787 Loss_D_fake -0.003528
[1086/5000][220/535][111989] Loss_D: -0.021048 Loss_G: -0.015724 Loss_D_real: -0.001882 Loss_D_fake 0.019166
[1086/5000][225/535][111990] Loss_D: -0.022397 Loss_G: 0.027376 Loss_D_real: -0.025428 Loss_D_fake -0.003030
[1086/5000][230/535][111991] Loss_D: -0.022017 Loss_G: -0.004384 Loss_D_real: 0.003145 Loss_D_fake 0.025163
[1086/5000][235/535][111992] Loss_D: -0.022242 Loss_G: 0.019576 Loss_D_real: -0.019530 Loss_D_fake 0.002712
[1086/5000][240/535][111993] Loss_D: -0.023007 Loss_G: 0.019734 Loss_D_real: -0.028723 Loss_D_fake -0.005716
[1086/5000][245/535][111994] Loss_D: -0.023126 Loss_G: 0.004812 Loss_D_real: -0.026179 Loss_D_fake -0.003053
[1086/5000][250/535][111995] Loss_D: -0.022304 Loss_G: -0.011557 Loss_D_real: 0.001595 Loss_D_fake 0.023899
[1086/5000][255/535][111996] Loss_D: -0.021118 Loss_G: 0.007527 Loss_D_real: -0.027225 Loss_D_fake -0.006108
[1086/5000][260/535][111997] Loss_D: -0.020994 Loss_G: 0.011473 Loss_D_real: -0.016594 Loss_D_fake 0.004401
[1086/5000][265/535][111998] Loss_D: -0.021229 Loss_G: -0.015334 Loss_D_real: -0.005572 Loss_D_fake 0.015658
[1086/5000][270/535][111999] Loss_D: -0.022356 Loss_G: 0.009818 Loss_D_real: -0.017940 Loss_D_fake 0.004416
[1086/5000][275/535][112000] Loss_D: -0.021743 Loss_G: 0.020162 Loss_D_real: -0.036955 Loss_D_fake -0.015212
[1086/5000][375/535][112001] Loss_D: -0.024529 Loss_G: -0.003964 Loss_D_real: -0.003686 Loss_D_fake 0.020843
[1086/5000][380/535][112002] Loss_D: -0.021357 Loss_G: -0.007279 Loss_D_real: -0.004247 Loss_D_fake 0.017110
[1086/5000][385/535][112003] Loss_D: -0.021181 Loss_G: -0.006998 Loss_D_real: -0.014304 Loss_D_fake 0.006877
[1086/5000][390/535][112004] Loss_D: -0.020438 Loss_G: 0.023872 Loss_D_real: -0.022032 Loss_D_fake -0.001594
[1086/5000][395/535][112005] Loss_D: -0.018883 Loss_G: -0.020056 Loss_D_real: -0.007313 Loss_D_fake 0.011570
[1086/5000][400/535][112006] Loss_D: -0.020913 Loss_G: 0.009248 Loss_D_real: -0.028555 Loss_D_fake -0.007642
[1086/5000][405/535][112007] Loss_D: -0.021790 Loss_G: 0.010147 Loss_D_real: -0.026168 Loss_D_fake -0.004379
[1086/5000][410/535][112008] Loss_D: -0.021134 Loss_G: 0.004924 Loss_D_real: -0.018279 Loss_D_fake 0.002855
[1086/5000][415/535][112009] Loss_D: -0.021347 Loss_G: 0.007754 Loss_D_real: -0.018811 Loss_D_fake 0.002536
[1086/5000][420/535][112010] Loss_D: -0.021939 Loss_G: -0.003449 Loss_D_real: -0.013918 Loss_D_fake 0.008021
[1086/5000][425/535][112011] Loss_D: -0.021632 Loss_G: 0.003617 Loss_D_real: -0.012944 Loss_D_fake 0.008688
[1086/5000][430/535][112012] Loss_D: -0.020766 Loss_G: 0.015741 Loss_D_real: -0.023512 Loss_D_fake -0.002746
[1086/5000][435/535][112013] Loss_D: -0.022706 Loss_G: 0.009256 Loss_D_real: -0.019556 Loss_D_fake 0.003151
[1086/5000][440/535][112014] Loss_D: -0.021766 Loss_G: -0.011847 Loss_D_real: -0.003016 Loss_D_fake 0.018750
[1086/5000][445/535][112015] Loss_D: -0.020819 Loss_G: 0.013688 Loss_D_real: -0.019121 Loss_D_fake 0.001698
[1086/5000][450/535][112016] Loss_D: -0.023396 Loss_G: 0.003864 Loss_D_real: -0.019813 Loss_D_fake 0.003583
[1086/5000][455/535][112017] Loss_D: -0.020735 Loss_G: 0.021834 Loss_D_real: -0.021530 Loss_D_fake -0.000794
[1086/5000][460/535][112018] Loss_D: -0.021224 Loss_G: 0.008902 Loss_D_real: -0.019069 Loss_D_fake 0.002154
[1086/5000][465/535][112019] Loss_D: -0.021672 Loss_G: 0.012592 Loss_D_real: -0.020239 Loss_D_fake 0.001433
[1086/5000][470/535][112020] Loss_D: -0.022721 Loss_G: 0.009075 Loss_D_real: -0.021135 Loss_D_fake 0.001586
[1086/5000][475/535][112021] Loss_D: -0.022598 Loss_G: 0.012452 Loss_D_real: -0.017407 Loss_D_fake 0.005192
[1086/5000][480/535][112022] Loss_D: -0.020969 Loss_G: -0.009378 Loss_D_real: -0.017993 Loss_D_fake 0.002976
[1086/5000][485/535][112023] Loss_D: -0.021289 Loss_G: -0.000753 Loss_D_real: -0.009836 Loss_D_fake 0.011453
[1086/5000][490/535][112024] Loss_D: -0.021193 Loss_G: -0.017938 Loss_D_real: 0.001211 Loss_D_fake 0.022404
[1086/5000][495/535][112025] Loss_D: -0.021549 Loss_G: 0.024440 Loss_D_real: -0.022065 Loss_D_fake -0.000516
[1086/5000][500/535][112026] Loss_D: -0.021530 Loss_G: 0.001475 Loss_D_real: -0.001413 Loss_D_fake 0.020117
[1086/5000][505/535][112027] Loss_D: -0.022857 Loss_G: 0.007204 Loss_D_real: -0.021542 Loss_D_fake 0.001315
[1086/5000][510/535][112028] Loss_D: -0.022718 Loss_G: 0.005512 Loss_D_real: -0.010238 Loss_D_fake 0.012481
[1086/5000][515/535][112029] Loss_D: -0.022560 Loss_G: 0.002655 Loss_D_real: -0.013232 Loss_D_fake 0.009329
[1086/5000][520/535][112030] Loss_D: -0.021398 Loss_G: -0.015668 Loss_D_real: -0.005719 Loss_D_fake 0.015679
[1086/5000][525/535][112031] Loss_D: -0.021794 Loss_G: 0.005265 Loss_D_real: -0.008778 Loss_D_fake 0.013016
[1086/5000][530/535][112032] Loss_D: -0.020868 Loss_G: -0.005952 Loss_D_real: -0.023674 Loss_D_fake -0.002806
[1086/5000][535/535][112033] Loss_D: -0.021659 Loss_G: 0.041974 Loss_D_real: -0.023344 Loss_D_fake -0.001684
[1087/5000][5/535][112034] Loss_D: -0.020447 Loss_G: 0.015931 Loss_D_real: -0.019261 Loss_D_fake 0.001186
[1087/5000][10/535][112035] Loss_D: -0.022311 Loss_G: 0.021553 Loss_D_real: -0.030021 Loss_D_fake -0.007710
[1087/5000][15/535][112036] Loss_D: -0.021313 Loss_G: -0.007457 Loss_D_real: -0.001509 Loss_D_fake 0.019803
[1087/5000][20/535][112037] Loss_D: -0.021291 Loss_G: -0.003193 Loss_D_real: 0.001464 Loss_D_fake 0.022755
[1087/5000][25/535][112038] Loss_D: -0.023256 Loss_G: 0.011472 Loss_D_real: -0.022549 Loss_D_fake 0.000707
[1087/5000][30/535][112039] Loss_D: -0.021428 Loss_G: 0.006023 Loss_D_real: -0.015619 Loss_D_fake 0.005809
[1087/5000][35/535][112040] Loss_D: -0.021056 Loss_G: -0.002367 Loss_D_real: -0.021653 Loss_D_fake -0.000597
[1087/5000][40/535][112041] Loss_D: -0.021919 Loss_G: 0.023559 Loss_D_real: -0.017281 Loss_D_fake 0.004637
[1087/5000][45/535][112042] Loss_D: -0.021942 Loss_G: 0.007481 Loss_D_real: -0.012500 Loss_D_fake 0.009442
[1087/5000][50/535][112043] Loss_D: -0.021619 Loss_G: 0.021909 Loss_D_real: -0.026962 Loss_D_fake -0.005343
[1087/5000][55/535][112044] Loss_D: -0.022483 Loss_G: 0.015017 Loss_D_real: -0.020351 Loss_D_fake 0.002132
[1087/5000][60/535][112045] Loss_D: -0.020745 Loss_G: 0.020640 Loss_D_real: -0.029947 Loss_D_fake -0.009202
[1087/5000][65/535][112046] Loss_D: -0.021542 Loss_G: -0.001591 Loss_D_real: -0.000681 Loss_D_fake 0.020861
[1087/5000][70/535][112047] Loss_D: -0.021028 Loss_G: 0.012331 Loss_D_real: -0.023533 Loss_D_fake -0.002505
[1087/5000][75/535][112048] Loss_D: -0.022024 Loss_G: 0.009107 Loss_D_real: -0.019928 Loss_D_fake 0.002096
[1087/5000][80/535][112049] Loss_D: -0.021332 Loss_G: 0.024917 Loss_D_real: -0.023377 Loss_D_fake -0.002045
[1087/5000][85/535][112050] Loss_D: -0.022210 Loss_G: 0.008867 Loss_D_real: -0.015134 Loss_D_fake 0.007076
[1087/5000][90/535][112051] Loss_D: -0.023341 Loss_G: 0.000775 Loss_D_real: -0.025482 Loss_D_fake -0.002141
[1087/5000][95/535][112052] Loss_D: -0.021996 Loss_G: 0.007807 Loss_D_real: -0.018232 Loss_D_fake 0.003764
[1087/5000][100/535][112053] Loss_D: -0.022096 Loss_G: 0.012611 Loss_D_real: -0.028310 Loss_D_fake -0.006213
[1087/5000][105/535][112054] Loss_D: -0.021809 Loss_G: 0.029889 Loss_D_real: -0.025406 Loss_D_fake -0.003597
[1087/5000][110/535][112055] Loss_D: -0.021966 Loss_G: 0.006267 Loss_D_real: -0.005434 Loss_D_fake 0.016532
[1087/5000][115/535][112056] Loss_D: -0.020740 Loss_G: 0.018623 Loss_D_real: -0.031510 Loss_D_fake -0.010770
[1087/5000][120/535][112057] Loss_D: -0.021816 Loss_G: -0.004578 Loss_D_real: -0.008819 Loss_D_fake 0.012996
[1087/5000][125/535][112058] Loss_D: -0.022479 Loss_G: 0.000181 Loss_D_real: -0.014168 Loss_D_fake 0.008311
[1087/5000][130/535][112059] Loss_D: -0.022477 Loss_G: 0.013018 Loss_D_real: -0.029868 Loss_D_fake -0.007390
[1087/5000][135/535][112060] Loss_D: -0.023256 Loss_G: 0.006277 Loss_D_real: -0.010148 Loss_D_fake 0.013108
[1087/5000][140/535][112061] Loss_D: -0.022280 Loss_G: 0.022393 Loss_D_real: -0.016170 Loss_D_fake 0.006110
[1087/5000][145/535][112062] Loss_D: -0.021063 Loss_G: 0.007817 Loss_D_real: -0.020374 Loss_D_fake 0.000688
[1087/5000][150/535][112063] Loss_D: -0.021596 Loss_G: 0.010386 Loss_D_real: -0.016006 Loss_D_fake 0.005590
[1087/5000][155/535][112064] Loss_D: -0.021991 Loss_G: 0.015644 Loss_D_real: -0.034610 Loss_D_fake -0.012620
[1087/5000][160/535][112065] Loss_D: -0.021435 Loss_G: 0.002338 Loss_D_real: -0.002281 Loss_D_fake 0.019154
[1087/5000][165/535][112066] Loss_D: -0.021411 Loss_G: 0.023126 Loss_D_real: -0.019437 Loss_D_fake 0.001974
[1087/5000][170/535][112067] Loss_D: -0.021660 Loss_G: -0.012208 Loss_D_real: -0.007638 Loss_D_fake 0.014022
[1087/5000][175/535][112068] Loss_D: -0.021124 Loss_G: 0.009886 Loss_D_real: -0.026586 Loss_D_fake -0.005462
[1087/5000][180/535][112069] Loss_D: -0.021409 Loss_G: 0.006167 Loss_D_real: -0.011302 Loss_D_fake 0.010107
[1087/5000][185/535][112070] Loss_D: -0.021394 Loss_G: 0.011000 Loss_D_real: -0.021378 Loss_D_fake 0.000016
[1087/5000][190/535][112071] Loss_D: -0.020490 Loss_G: -0.018627 Loss_D_real: 0.003853 Loss_D_fake 0.024343
[1087/5000][195/535][112072] Loss_D: -0.021994 Loss_G: 0.011641 Loss_D_real: -0.020222 Loss_D_fake 0.001773
[1087/5000][200/535][112073] Loss_D: -0.020874 Loss_G: 0.010250 Loss_D_real: -0.025217 Loss_D_fake -0.004343
[1087/5000][205/535][112074] Loss_D: -0.022084 Loss_G: 0.012073 Loss_D_real: -0.014262 Loss_D_fake 0.007822
[1087/5000][210/535][112075] Loss_D: -0.020752 Loss_G: 0.007417 Loss_D_real: -0.018609 Loss_D_fake 0.002142
[1087/5000][215/535][112076] Loss_D: -0.022371 Loss_G: 0.016583 Loss_D_real: -0.018842 Loss_D_fake 0.003529
[1087/5000][220/535][112077] Loss_D: -0.022438 Loss_G: 0.018132 Loss_D_real: -0.019641 Loss_D_fake 0.002796
[1087/5000][225/535][112078] Loss_D: -0.021519 Loss_G: -0.008611 Loss_D_real: -0.009819 Loss_D_fake 0.011700
[1087/5000][230/535][112079] Loss_D: -0.021812 Loss_G: 0.005795 Loss_D_real: -0.021195 Loss_D_fake 0.000617
[1087/5000][235/535][112080] Loss_D: -0.023011 Loss_G: 0.019608 Loss_D_real: -0.016603 Loss_D_fake 0.006408
[1087/5000][240/535][112081] Loss_D: -0.022088 Loss_G: 0.010491 Loss_D_real: -0.015436 Loss_D_fake 0.006652
[1087/5000][245/535][112082] Loss_D: -0.021476 Loss_G: -0.001313 Loss_D_real: -0.025137 Loss_D_fake -0.003661
[1087/5000][250/535][112083] Loss_D: -0.020137 Loss_G: 0.036055 Loss_D_real: -0.026805 Loss_D_fake -0.006668
[1087/5000][255/535][112084] Loss_D: -0.021976 Loss_G: -0.003036 Loss_D_real: -0.014830 Loss_D_fake 0.007145
[1087/5000][260/535][112085] Loss_D: -0.021492 Loss_G: 0.016347 Loss_D_real: -0.017273 Loss_D_fake 0.004219
[1087/5000][265/535][112086] Loss_D: -0.021897 Loss_G: 0.007678 Loss_D_real: -0.014162 Loss_D_fake 0.007735
[1087/5000][270/535][112087] Loss_D: -0.018591 Loss_G: -0.027393 Loss_D_real: 0.007227 Loss_D_fake 0.025818
[1087/5000][275/535][112088] Loss_D: -0.020375 Loss_G: 0.014416 Loss_D_real: -0.017894 Loss_D_fake 0.002481
[1087/5000][280/535][112089] Loss_D: -0.021821 Loss_G: 0.016448 Loss_D_real: -0.024476 Loss_D_fake -0.002656
[1087/5000][285/535][112090] Loss_D: -0.021868 Loss_G: 0.007499 Loss_D_real: -0.017239 Loss_D_fake 0.004629
[1087/5000][290/535][112091] Loss_D: -0.022314 Loss_G: 0.004156 Loss_D_real: -0.008939 Loss_D_fake 0.013375
[1087/5000][295/535][112092] Loss_D: -0.022171 Loss_G: 0.006840 Loss_D_real: -0.017513 Loss_D_fake 0.004657
[1087/5000][300/535][112093] Loss_D: -0.021928 Loss_G: 0.023580 Loss_D_real: -0.023929 Loss_D_fake -0.002001
[1087/5000][305/535][112094] Loss_D: -0.021045 Loss_G: 0.020491 Loss_D_real: -0.024974 Loss_D_fake -0.003929
[1087/5000][310/535][112095] Loss_D: -0.021277 Loss_G: 0.003689 Loss_D_real: -0.013329 Loss_D_fake 0.007947
[1087/5000][315/535][112096] Loss_D: -0.019757 Loss_G: -0.008775 Loss_D_real: -0.004363 Loss_D_fake 0.015394
[1087/5000][320/535][112097] Loss_D: -0.021828 Loss_G: 0.016151 Loss_D_real: -0.023958 Loss_D_fake -0.002131
[1087/5000][325/535][112098] Loss_D: -0.023604 Loss_G: -0.005798 Loss_D_real: -0.009975 Loss_D_fake 0.013630
[1087/5000][330/535][112099] Loss_D: -0.021529 Loss_G: 0.026318 Loss_D_real: -0.031801 Loss_D_fake -0.010273
[1087/5000][335/535][112100] Loss_D: -0.023105 Loss_G: 0.002231 Loss_D_real: -0.020923 Loss_D_fake 0.002182
[1087/5000][340/535][112101] Loss_D: -0.022311 Loss_G: 0.012292 Loss_D_real: -0.013166 Loss_D_fake 0.009145
[1087/5000][345/535][112102] Loss_D: -0.021301 Loss_G: 0.015080 Loss_D_real: -0.012552 Loss_D_fake 0.008749
[1087/5000][350/535][112103] Loss_D: -0.020515 Loss_G: 0.020756 Loss_D_real: -0.030309 Loss_D_fake -0.009793
[1087/5000][355/535][112104] Loss_D: -0.021216 Loss_G: 0.001956 Loss_D_real: -0.017851 Loss_D_fake 0.003365
[1087/5000][360/535][112105] Loss_D: -0.021967 Loss_G: 0.006822 Loss_D_real: -0.014887 Loss_D_fake 0.007080
[1087/5000][365/535][112106] Loss_D: -0.022572 Loss_G: 0.021624 Loss_D_real: -0.022429 Loss_D_fake 0.000143
[1087/5000][370/535][112107] Loss_D: -0.021310 Loss_G: -0.004297 Loss_D_real: -0.010574 Loss_D_fake 0.010736
[1087/5000][375/535][112108] Loss_D: -0.020116 Loss_G: 0.026189 Loss_D_real: -0.037860 Loss_D_fake -0.017743
[1087/5000][380/535][112109] Loss_D: -0.021544 Loss_G: -0.005306 Loss_D_real: -0.008429 Loss_D_fake 0.013115
[1087/5000][385/535][112110] Loss_D: -0.021525 Loss_G: 0.014626 Loss_D_real: -0.019975 Loss_D_fake 0.001550
[1087/5000][390/535][112111] Loss_D: -0.022629 Loss_G: -0.005683 Loss_D_real: -0.003534 Loss_D_fake 0.019095
[1087/5000][395/535][112112] Loss_D: -0.020014 Loss_G: 0.008285 Loss_D_real: -0.019825 Loss_D_fake 0.000189
[1087/5000][400/535][112113] Loss_D: -0.020843 Loss_G: 0.014881 Loss_D_real: -0.026738 Loss_D_fake -0.005895
[1087/5000][405/535][112114] Loss_D: -0.021850 Loss_G: -0.006451 Loss_D_real: -0.014444 Loss_D_fake 0.007406
[1087/5000][410/535][112115] Loss_D: -0.020334 Loss_G: 0.018625 Loss_D_real: -0.021934 Loss_D_fake -0.001601
[1087/5000][415/535][112116] Loss_D: -0.020366 Loss_G: 0.021837 Loss_D_real: -0.033724 Loss_D_fake -0.013357
[1087/5000][420/535][112117] Loss_D: -0.021243 Loss_G: 0.007877 Loss_D_real: -0.021098 Loss_D_fake 0.000145
[1087/5000][425/535][112118] Loss_D: -0.021994 Loss_G: 0.015860 Loss_D_real: -0.023970 Loss_D_fake -0.001975
[1087/5000][430/535][112119] Loss_D: -0.020258 Loss_G: 0.024299 Loss_D_real: -0.033141 Loss_D_fake -0.012883
[1087/5000][435/535][112120] Loss_D: -0.021819 Loss_G: 0.000973 Loss_D_real: -0.003413 Loss_D_fake 0.018406
[1087/5000][440/535][112121] Loss_D: -0.020714 Loss_G: 0.025068 Loss_D_real: -0.039160 Loss_D_fake -0.018445
[1087/5000][445/535][112122] Loss_D: -0.022185 Loss_G: 0.006457 Loss_D_real: -0.011988 Loss_D_fake 0.010198
[1087/5000][450/535][112123] Loss_D: -0.022807 Loss_G: 0.013071 Loss_D_real: -0.019898 Loss_D_fake 0.002909
[1087/5000][455/535][112124] Loss_D: -0.021950 Loss_G: 0.016583 Loss_D_real: -0.010127 Loss_D_fake 0.011823
[1087/5000][460/535][112125] Loss_D: -0.022736 Loss_G: 0.003716 Loss_D_real: -0.002265 Loss_D_fake 0.020470
[1087/5000][465/535][112126] Loss_D: -0.021783 Loss_G: -0.008461 Loss_D_real: -0.015413 Loss_D_fake 0.006369
[1087/5000][470/535][112127] Loss_D: -0.020477 Loss_G: 0.002743 Loss_D_real: 0.003926 Loss_D_fake 0.024404
[1087/5000][475/535][112128] Loss_D: -0.022037 Loss_G: 0.007289 Loss_D_real: -0.026040 Loss_D_fake -0.004002
[1087/5000][480/535][112129] Loss_D: -0.023175 Loss_G: 0.009097 Loss_D_real: -0.018627 Loss_D_fake 0.004548
[1087/5000][485/535][112130] Loss_D: -0.020715 Loss_G: 0.003138 Loss_D_real: -0.010095 Loss_D_fake 0.010620
[1087/5000][490/535][112131] Loss_D: -0.021020 Loss_G: -0.012351 Loss_D_real: -0.005262 Loss_D_fake 0.015758
[1087/5000][495/535][112132] Loss_D: -0.020821 Loss_G: 0.023634 Loss_D_real: -0.022022 Loss_D_fake -0.001201
[1087/5000][500/535][112133] Loss_D: -0.022709 Loss_G: 0.007571 Loss_D_real: 0.001501 Loss_D_fake 0.024211
[1087/5000][505/535][112134] Loss_D: -0.021586 Loss_G: -0.002774 Loss_D_real: -0.004245 Loss_D_fake 0.017341
[1087/5000][510/535][112135] Loss_D: -0.022344 Loss_G: 0.016382 Loss_D_real: -0.028172 Loss_D_fake -0.005829
[1087/5000][515/535][112136] Loss_D: -0.021433 Loss_G: 0.011848 Loss_D_real: -0.028244 Loss_D_fake -0.006811
[1087/5000][520/535][112137] Loss_D: -0.022121 Loss_G: -0.009875 Loss_D_real: -0.009087 Loss_D_fake 0.013034
[1087/5000][525/535][112138] Loss_D: -0.022192 Loss_G: -0.003365 Loss_D_real: -0.007596 Loss_D_fake 0.014596
[1087/5000][530/535][112139] Loss_D: -0.021888 Loss_G: 0.006451 Loss_D_real: -0.017749 Loss_D_fake 0.004139
[1087/5000][535/535][112140] Loss_D: -0.020432 Loss_G: 0.004260 Loss_D_real: -0.024883 Loss_D_fake -0.004450
[1088/5000][5/535][112141] Loss_D: -0.023799 Loss_G: 0.020250 Loss_D_real: -0.017984 Loss_D_fake 0.005815
[1088/5000][10/535][112142] Loss_D: -0.019959 Loss_G: 0.000777 Loss_D_real: -0.020235 Loss_D_fake -0.000276
[1088/5000][15/535][112143] Loss_D: -0.022631 Loss_G: 0.009636 Loss_D_real: -0.020505 Loss_D_fake 0.002126
[1088/5000][20/535][112144] Loss_D: -0.020478 Loss_G: -0.011274 Loss_D_real: -0.009936 Loss_D_fake 0.010541
[1088/5000][25/535][112145] Loss_D: -0.021821 Loss_G: 0.020291 Loss_D_real: -0.028346 Loss_D_fake -0.006525
[1088/5000][30/535][112146] Loss_D: -0.021897 Loss_G: 0.000093 Loss_D_real: -0.003609 Loss_D_fake 0.018288
[1088/5000][35/535][112147] Loss_D: -0.020590 Loss_G: 0.012913 Loss_D_real: -0.035765 Loss_D_fake -0.015175
[1088/5000][40/535][112148] Loss_D: -0.022000 Loss_G: 0.001225 Loss_D_real: -0.019905 Loss_D_fake 0.002095
[1088/5000][45/535][112149] Loss_D: -0.023190 Loss_G: 0.009188 Loss_D_real: -0.024518 Loss_D_fake -0.001328
[1088/5000][50/535][112150] Loss_D: -0.021311 Loss_G: 0.031993 Loss_D_real: -0.024344 Loss_D_fake -0.003032
[1088/5000][55/535][112151] Loss_D: -0.021788 Loss_G: 0.003989 Loss_D_real: -0.008596 Loss_D_fake 0.013192
[1088/5000][60/535][112152] Loss_D: -0.019584 Loss_G: 0.021587 Loss_D_real: -0.014513 Loss_D_fake 0.005071
[1088/5000][65/535][112153] Loss_D: -0.021820 Loss_G: 0.003702 Loss_D_real: -0.012594 Loss_D_fake 0.009226
[1088/5000][70/535][112154] Loss_D: -0.022032 Loss_G: 0.002730 Loss_D_real: -0.013335 Loss_D_fake 0.008698
[1088/5000][75/535][112155] Loss_D: -0.022404 Loss_G: 0.010472 Loss_D_real: -0.014042 Loss_D_fake 0.008362
[1088/5000][80/535][112156] Loss_D: -0.023257 Loss_G: -0.009429 Loss_D_real: -0.012556 Loss_D_fake 0.010701
[1088/5000][85/535][112157] Loss_D: -0.020591 Loss_G: 0.005928 Loss_D_real: -0.013569 Loss_D_fake 0.007021
[1088/5000][90/535][112158] Loss_D: -0.022739 Loss_G: 0.011096 Loss_D_real: -0.007502 Loss_D_fake 0.015237
[1088/5000][95/535][112159] Loss_D: -0.020640 Loss_G: 0.023230 Loss_D_real: -0.031528 Loss_D_fake -0.010888
[1088/5000][100/535][112160] Loss_D: -0.022267 Loss_G: 0.010133 Loss_D_real: -0.020431 Loss_D_fake 0.001836
[1088/5000][105/535][112161] Loss_D: -0.021670 Loss_G: 0.018551 Loss_D_real: -0.022514 Loss_D_fake -0.000844
[1088/5000][110/535][112162] Loss_D: -0.021341 Loss_G: 0.015490 Loss_D_real: -0.014827 Loss_D_fake 0.006514
[1088/5000][115/535][112163] Loss_D: -0.021335 Loss_G: 0.005886 Loss_D_real: -0.028182 Loss_D_fake -0.006847
[1088/5000][120/535][112164] Loss_D: -0.022972 Loss_G: 0.008866 Loss_D_real: -0.016417 Loss_D_fake 0.006555
[1088/5000][125/535][112165] Loss_D: -0.022177 Loss_G: 0.002699 Loss_D_real: -0.021837 Loss_D_fake 0.000340
[1088/5000][130/535][112166] Loss_D: -0.022977 Loss_G: -0.000071 Loss_D_real: -0.022119 Loss_D_fake 0.000858
[1088/5000][135/535][112167] Loss_D: -0.022927 Loss_G: 0.021472 Loss_D_real: -0.021736 Loss_D_fake 0.001190
[1088/5000][140/535][112168] Loss_D: -0.022501 Loss_G: 0.015246 Loss_D_real: -0.027927 Loss_D_fake -0.005427
[1088/5000][145/535][112169] Loss_D: -0.021088 Loss_G: -0.003120 Loss_D_real: -0.021518 Loss_D_fake -0.000430
[1088/5000][150/535][112170] Loss_D: -0.021057 Loss_G: 0.002462 Loss_D_real: -0.018608 Loss_D_fake 0.002449
[1088/5000][155/535][112171] Loss_D: -0.021931 Loss_G: -0.000734 Loss_D_real: -0.018298 Loss_D_fake 0.003633
[1088/5000][160/535][112172] Loss_D: -0.022245 Loss_G: 0.023094 Loss_D_real: -0.027373 Loss_D_fake -0.005128
[1088/5000][165/535][112173] Loss_D: -0.021832 Loss_G: -0.007020 Loss_D_real: -0.007864 Loss_D_fake 0.013968
[1088/5000][170/535][112174] Loss_D: -0.020320 Loss_G: 0.016158 Loss_D_real: -0.031791 Loss_D_fake -0.011471
[1088/5000][175/535][112175] Loss_D: -0.022296 Loss_G: 0.008601 Loss_D_real: -0.026419 Loss_D_fake -0.004123
[1088/5000][180/535][112176] Loss_D: -0.022156 Loss_G: 0.004131 Loss_D_real: -0.007786 Loss_D_fake 0.014370
[1088/5000][185/535][112177] Loss_D: -0.022366 Loss_G: 0.024697 Loss_D_real: -0.025013 Loss_D_fake -0.002647
[1088/5000][190/535][112178] Loss_D: -0.021386 Loss_G: 0.009154 Loss_D_real: -0.014002 Loss_D_fake 0.007384
[1088/5000][195/535][112179] Loss_D: -0.022684 Loss_G: 0.016518 Loss_D_real: -0.027548 Loss_D_fake -0.004864
[1088/5000][200/535][112180] Loss_D: -0.021405 Loss_G: -0.005610 Loss_D_real: -0.016502 Loss_D_fake 0.004902
[1088/5000][205/535][112181] Loss_D: -0.022615 Loss_G: 0.009814 Loss_D_real: -0.018818 Loss_D_fake 0.003797
[1088/5000][210/535][112182] Loss_D: -0.021250 Loss_G: -0.004495 Loss_D_real: -0.006485 Loss_D_fake 0.014766
[1088/5000][215/535][112183] Loss_D: -0.021851 Loss_G: -0.009548 Loss_D_real: -0.015774 Loss_D_fake 0.006077
[1088/5000][220/535][112184] Loss_D: -0.021637 Loss_G: -0.003381 Loss_D_real: -0.000825 Loss_D_fake 0.020812
[1088/5000][225/535][112185] Loss_D: -0.022022 Loss_G: 0.022712 Loss_D_real: -0.026485 Loss_D_fake -0.004462
[1088/5000][230/535][112186] Loss_D: -0.022147 Loss_G: -0.001846 Loss_D_real: -0.009849 Loss_D_fake 0.012297
[1088/5000][235/535][112187] Loss_D: -0.023124 Loss_G: 0.027535 Loss_D_real: -0.024471 Loss_D_fake -0.001347
[1088/5000][240/535][112188] Loss_D: -0.019889 Loss_G: 0.031680 Loss_D_real: -0.040919 Loss_D_fake -0.021031
[1088/5000][245/535][112189] Loss_D: -0.020687 Loss_G: -0.000305 Loss_D_real: -0.023759 Loss_D_fake -0.003072
[1088/5000][250/535][112190] Loss_D: -0.023215 Loss_G: 0.005926 Loss_D_real: -0.024974 Loss_D_fake -0.001759
[1088/5000][255/535][112191] Loss_D: -0.022424 Loss_G: 0.013745 Loss_D_real: -0.018732 Loss_D_fake 0.003692
[1088/5000][260/535][112192] Loss_D: -0.021891 Loss_G: 0.006741 Loss_D_real: -0.021642 Loss_D_fake 0.000249
[1088/5000][265/535][112193] Loss_D: -0.022084 Loss_G: 0.008743 Loss_D_real: -0.020585 Loss_D_fake 0.001499
[1088/5000][270/535][112194] Loss_D: -0.021615 Loss_G: 0.006268 Loss_D_real: -0.012292 Loss_D_fake 0.009323
[1088/5000][275/535][112195] Loss_D: -0.021394 Loss_G: -0.006420 Loss_D_real: -0.007870 Loss_D_fake 0.013524
[1088/5000][280/535][112196] Loss_D: -0.021664 Loss_G: -0.002103 Loss_D_real: -0.016843 Loss_D_fake 0.004821
[1088/5000][285/535][112197] Loss_D: -0.022351 Loss_G: 0.013800 Loss_D_real: -0.017113 Loss_D_fake 0.005238
[1088/5000][290/535][112198] Loss_D: -0.021961 Loss_G: 0.004842 Loss_D_real: -0.023144 Loss_D_fake -0.001182
[1088/5000][295/535][112199] Loss_D: -0.021234 Loss_G: 0.029829 Loss_D_real: -0.022017 Loss_D_fake -0.000783
[1088/5000][300/535][112200] Loss_D: -0.023130 Loss_G: 0.001321 Loss_D_real: -0.006778 Loss_D_fake 0.016352
[1088/5000][305/535][112201] Loss_D: -0.020622 Loss_G: 0.020365 Loss_D_real: -0.031033 Loss_D_fake -0.010411
[1088/5000][310/535][112202] Loss_D: -0.021569 Loss_G: 0.016389 Loss_D_real: -0.025005 Loss_D_fake -0.003436
[1088/5000][315/535][112203] Loss_D: -0.020789 Loss_G: -0.002155 Loss_D_real: -0.016510 Loss_D_fake 0.004279
[1088/5000][320/535][112204] Loss_D: -0.021916 Loss_G: 0.008856 Loss_D_real: -0.012822 Loss_D_fake 0.009094
[1088/5000][325/535][112205] Loss_D: -0.022690 Loss_G: 0.000938 Loss_D_real: -0.011302 Loss_D_fake 0.011388
[1088/5000][330/535][112206] Loss_D: -0.021889 Loss_G: 0.003166 Loss_D_real: -0.014485 Loss_D_fake 0.007404
[1088/5000][335/535][112207] Loss_D: -0.021458 Loss_G: 0.005234 Loss_D_real: -0.019297 Loss_D_fake 0.002160
[1088/5000][340/535][112208] Loss_D: -0.021911 Loss_G: 0.005925 Loss_D_real: -0.025902 Loss_D_fake -0.003992
[1088/5000][345/535][112209] Loss_D: -0.021250 Loss_G: 0.022039 Loss_D_real: -0.030198 Loss_D_fake -0.008948
[1088/5000][350/535][112210] Loss_D: -0.021450 Loss_G: -0.009981 Loss_D_real: -0.007248 Loss_D_fake 0.014202
[1088/5000][355/535][112211] Loss_D: -0.020754 Loss_G: 0.012384 Loss_D_real: -0.022221 Loss_D_fake -0.001467
[1088/5000][360/535][112212] Loss_D: -0.021538 Loss_G: 0.005933 Loss_D_real: -0.018044 Loss_D_fake 0.003494
[1088/5000][365/535][112213] Loss_D: -0.021446 Loss_G: -0.000156 Loss_D_real: -0.008128 Loss_D_fake 0.013318
[1088/5000][370/535][112214] Loss_D: -0.020841 Loss_G: -0.004807 Loss_D_real: -0.004024 Loss_D_fake 0.016817
[1088/5000][375/535][112215] Loss_D: -0.020627 Loss_G: 0.027105 Loss_D_real: -0.042447 Loss_D_fake -0.021820
[1088/5000][380/535][112216] Loss_D: -0.019890 Loss_G: 0.025044 Loss_D_real: -0.030932 Loss_D_fake -0.011042
[1088/5000][385/535][112217] Loss_D: -0.021666 Loss_G: -0.011634 Loss_D_real: -0.017282 Loss_D_fake 0.004384
[1088/5000][390/535][112218] Loss_D: -0.020955 Loss_G: 0.010256 Loss_D_real: -0.023606 Loss_D_fake -0.002652
[1088/5000][395/535][112219] Loss_D: -0.022637 Loss_G: 0.007133 Loss_D_real: -0.026445 Loss_D_fake -0.003808
[1088/5000][400/535][112220] Loss_D: -0.022658 Loss_G: 0.001536 Loss_D_real: -0.010275 Loss_D_fake 0.012383
[1088/5000][405/535][112221] Loss_D: -0.022746 Loss_G: 0.004499 Loss_D_real: -0.012416 Loss_D_fake 0.010330
[1088/5000][410/535][112222] Loss_D: -0.022286 Loss_G: 0.008556 Loss_D_real: -0.019821 Loss_D_fake 0.002465
[1088/5000][415/535][112223] Loss_D: -0.021931 Loss_G: -0.015197 Loss_D_real: -0.000888 Loss_D_fake 0.021043
[1088/5000][420/535][112224] Loss_D: -0.022214 Loss_G: -0.006961 Loss_D_real: -0.006636 Loss_D_fake 0.015578
[1088/5000][425/535][112225] Loss_D: -0.020723 Loss_G: 0.007216 Loss_D_real: -0.007185 Loss_D_fake 0.013538
[1088/5000][430/535][112226] Loss_D: -0.021986 Loss_G: 0.001504 Loss_D_real: -0.015154 Loss_D_fake 0.006832
[1088/5000][435/535][112227] Loss_D: -0.020713 Loss_G: -0.016407 Loss_D_real: -0.005564 Loss_D_fake 0.015149
[1088/5000][440/535][112228] Loss_D: -0.021409 Loss_G: 0.007298 Loss_D_real: -0.025278 Loss_D_fake -0.003869
[1088/5000][445/535][112229] Loss_D: -0.021178 Loss_G: 0.032203 Loss_D_real: -0.038883 Loss_D_fake -0.017706
[1088/5000][450/535][112230] Loss_D: -0.020576 Loss_G: 0.008345 Loss_D_real: -0.016233 Loss_D_fake 0.004343
[1088/5000][455/535][112231] Loss_D: -0.022172 Loss_G: 0.010237 Loss_D_real: -0.019611 Loss_D_fake 0.002561
[1088/5000][460/535][112232] Loss_D: -0.021299 Loss_G: 0.001807 Loss_D_real: -0.005768 Loss_D_fake 0.015531
[1088/5000][465/535][112233] Loss_D: -0.021072 Loss_G: 0.015886 Loss_D_real: -0.028601 Loss_D_fake -0.007529
[1088/5000][470/535][112234] Loss_D: -0.021556 Loss_G: -0.006010 Loss_D_real: -0.002946 Loss_D_fake 0.018611
[1088/5000][475/535][112235] Loss_D: -0.023049 Loss_G: 0.021218 Loss_D_real: -0.033097 Loss_D_fake -0.010047
[1088/5000][480/535][112236] Loss_D: -0.022119 Loss_G: -0.011357 Loss_D_real: 0.005902 Loss_D_fake 0.028021
[1088/5000][485/535][112237] Loss_D: -0.022320 Loss_G: 0.032158 Loss_D_real: -0.021655 Loss_D_fake 0.000665
[1088/5000][490/535][112238] Loss_D: -0.021446 Loss_G: -0.005974 Loss_D_real: -0.015548 Loss_D_fake 0.005898
[1088/5000][495/535][112239] Loss_D: -0.021859 Loss_G: 0.004041 Loss_D_real: -0.017240 Loss_D_fake 0.004619
[1088/5000][500/535][112240] Loss_D: -0.023241 Loss_G: 0.024947 Loss_D_real: -0.020652 Loss_D_fake 0.002589
[1088/5000][505/535][112241] Loss_D: -0.022078 Loss_G: -0.008587 Loss_D_real: -0.017623 Loss_D_fake 0.004455
[1088/5000][510/535][112242] Loss_D: -0.023023 Loss_G: 0.029817 Loss_D_real: -0.022187 Loss_D_fake 0.000835
[1088/5000][515/535][112243] Loss_D: -0.022019 Loss_G: -0.008314 Loss_D_real: -0.007063 Loss_D_fake 0.014957
[1088/5000][520/535][112244] Loss_D: -0.020607 Loss_G: 0.018901 Loss_D_real: -0.031904 Loss_D_fake -0.011297
[1088/5000][525/535][112245] Loss_D: -0.021670 Loss_G: 0.001826 Loss_D_real: -0.011732 Loss_D_fake 0.009938
[1088/5000][530/535][112246] Loss_D: -0.020540 Loss_G: 0.016794 Loss_D_real: -0.026572 Loss_D_fake -0.006032
[1088/5000][535/535][112247] Loss_D: -0.020321 Loss_G: -0.004003 Loss_D_real: -0.009657 Loss_D_fake 0.010664
[1089/5000][5/535][112248] Loss_D: -0.022206 Loss_G: -0.009823 Loss_D_real: -0.014742 Loss_D_fake 0.007464
[1089/5000][10/535][112249] Loss_D: -0.020877 Loss_G: 0.010003 Loss_D_real: -0.011185 Loss_D_fake 0.009692
[1089/5000][15/535][112250] Loss_D: -0.020600 Loss_G: 0.013021 Loss_D_real: -0.026578 Loss_D_fake -0.005978
[1089/5000][20/535][112251] Loss_D: -0.020286 Loss_G: -0.016897 Loss_D_real: 0.000880 Loss_D_fake 0.021166
[1089/5000][25/535][112252] Loss_D: -0.021630 Loss_G: 0.003883 Loss_D_real: -0.025773 Loss_D_fake -0.004143
[1089/5000][30/535][112253] Loss_D: -0.022752 Loss_G: 0.012631 Loss_D_real: -0.024812 Loss_D_fake -0.002060
[1089/5000][35/535][112254] Loss_D: -0.022978 Loss_G: 0.005405 Loss_D_real: -0.013660 Loss_D_fake 0.009318
[1089/5000][40/535][112255] Loss_D: -0.022904 Loss_G: 0.010463 Loss_D_real: -0.019590 Loss_D_fake 0.003314
[1089/5000][45/535][112256] Loss_D: -0.022075 Loss_G: 0.018717 Loss_D_real: -0.024152 Loss_D_fake -0.002077
[1089/5000][50/535][112257] Loss_D: -0.022529 Loss_G: 0.006468 Loss_D_real: -0.025925 Loss_D_fake -0.003395
[1089/5000][55/535][112258] Loss_D: -0.020934 Loss_G: -0.020394 Loss_D_real: 0.006257 Loss_D_fake 0.027191
[1089/5000][60/535][112259] Loss_D: -0.020461 Loss_G: 0.016853 Loss_D_real: -0.018749 Loss_D_fake 0.001712
[1089/5000][65/535][112260] Loss_D: -0.021222 Loss_G: -0.017529 Loss_D_real: -0.001185 Loss_D_fake 0.020037
[1089/5000][70/535][112261] Loss_D: -0.021490 Loss_G: 0.003183 Loss_D_real: -0.005169 Loss_D_fake 0.016321
[1089/5000][75/535][112262] Loss_D: -0.021304 Loss_G: -0.006686 Loss_D_real: -0.010906 Loss_D_fake 0.010399
[1089/5000][80/535][112263] Loss_D: -0.021247 Loss_G: 0.012358 Loss_D_real: -0.015170 Loss_D_fake 0.006078
[1089/5000][85/535][112264] Loss_D: -0.022504 Loss_G: 0.010368 Loss_D_real: -0.015386 Loss_D_fake 0.007119
[1089/5000][90/535][112265] Loss_D: -0.021686 Loss_G: 0.002838 Loss_D_real: -0.012810 Loss_D_fake 0.008876
[1089/5000][95/535][112266] Loss_D: -0.022461 Loss_G: 0.024349 Loss_D_real: -0.014883 Loss_D_fake 0.007577
[1089/5000][100/535][112267] Loss_D: -0.021633 Loss_G: 0.010811 Loss_D_real: -0.014822 Loss_D_fake 0.006811
[1089/5000][105/535][112268] Loss_D: -0.021082 Loss_G: 0.011047 Loss_D_real: -0.032111 Loss_D_fake -0.011030
[1089/5000][110/535][112269] Loss_D: -0.021390 Loss_G: 0.015742 Loss_D_real: -0.025367 Loss_D_fake -0.003976
[1089/5000][115/535][112270] Loss_D: -0.023036 Loss_G: 0.015162 Loss_D_real: -0.009678 Loss_D_fake 0.013358
[1089/5000][120/535][112271] Loss_D: -0.021227 Loss_G: 0.006006 Loss_D_real: -0.016357 Loss_D_fake 0.004870
[1089/5000][125/535][112272] Loss_D: -0.021194 Loss_G: 0.007516 Loss_D_real: -0.009607 Loss_D_fake 0.011587
[1089/5000][130/535][112273] Loss_D: -0.022389 Loss_G: -0.003001 Loss_D_real: -0.014277 Loss_D_fake 0.008112
[1089/5000][135/535][112274] Loss_D: -0.022754 Loss_G: 0.018768 Loss_D_real: -0.015282 Loss_D_fake 0.007473
[1089/5000][140/535][112275] Loss_D: -0.021649 Loss_G: -0.013420 Loss_D_real: -0.010251 Loss_D_fake 0.011397
[1089/5000][145/535][112276] Loss_D: -0.021297 Loss_G: 0.020075 Loss_D_real: -0.029023 Loss_D_fake -0.007726
[1089/5000][150/535][112277] Loss_D: -0.022803 Loss_G: -0.003230 Loss_D_real: -0.002049 Loss_D_fake 0.020754
[1089/5000][155/535][112278] Loss_D: -0.021841 Loss_G: 0.002014 Loss_D_real: -0.009832 Loss_D_fake 0.012008
[1089/5000][160/535][112279] Loss_D: -0.021216 Loss_G: 0.024164 Loss_D_real: -0.030199 Loss_D_fake -0.008983
[1089/5000][165/535][112280] Loss_D: -0.021475 Loss_G: -0.007451 Loss_D_real: -0.006868 Loss_D_fake 0.014606
[1089/5000][170/535][112281] Loss_D: -0.021894 Loss_G: -0.004849 Loss_D_real: -0.008313 Loss_D_fake 0.013581
[1089/5000][175/535][112282] Loss_D: -0.021789 Loss_G: 0.008889 Loss_D_real: -0.017210 Loss_D_fake 0.004578
[1089/5000][180/535][112283] Loss_D: -0.020804 Loss_G: 0.012409 Loss_D_real: -0.026279 Loss_D_fake -0.005476
[1089/5000][185/535][112284] Loss_D: -0.021604 Loss_G: 0.011768 Loss_D_real: -0.030984 Loss_D_fake -0.009379
[1089/5000][190/535][112285] Loss_D: -0.021378 Loss_G: 0.024969 Loss_D_real: -0.030483 Loss_D_fake -0.009105
[1089/5000][195/535][112286] Loss_D: -0.022372 Loss_G: -0.011646 Loss_D_real: -0.010248 Loss_D_fake 0.012124
[1089/5000][200/535][112287] Loss_D: -0.020979 Loss_G: 0.021051 Loss_D_real: -0.026205 Loss_D_fake -0.005226
[1089/5000][205/535][112288] Loss_D: -0.022675 Loss_G: 0.008935 Loss_D_real: -0.015329 Loss_D_fake 0.007346
[1089/5000][210/535][112289] Loss_D: -0.021292 Loss_G: 0.004184 Loss_D_real: -0.015667 Loss_D_fake 0.005625
[1089/5000][215/535][112290] Loss_D: -0.021865 Loss_G: -0.004878 Loss_D_real: -0.009500 Loss_D_fake 0.012365
[1089/5000][220/535][112291] Loss_D: -0.020322 Loss_G: 0.010925 Loss_D_real: -0.028189 Loss_D_fake -0.007867
[1089/5000][225/535][112292] Loss_D: -0.021491 Loss_G: 0.002729 Loss_D_real: -0.023663 Loss_D_fake -0.002172
[1089/5000][230/535][112293] Loss_D: -0.021394 Loss_G: 0.022369 Loss_D_real: -0.023509 Loss_D_fake -0.002115
[1089/5000][235/535][112294] Loss_D: -0.021440 Loss_G: 0.014206 Loss_D_real: -0.028220 Loss_D_fake -0.006780
[1089/5000][240/535][112295] Loss_D: -0.022015 Loss_G: 0.031491 Loss_D_real: -0.022146 Loss_D_fake -0.000131
[1089/5000][245/535][112296] Loss_D: -0.022033 Loss_G: -0.001304 Loss_D_real: -0.022403 Loss_D_fake -0.000370
[1089/5000][250/535][112297] Loss_D: -0.022230 Loss_G: 0.020905 Loss_D_real: -0.020776 Loss_D_fake 0.001454
[1089/5000][255/535][112298] Loss_D: -0.021539 Loss_G: 0.003077 Loss_D_real: -0.012581 Loss_D_fake 0.008958
[1089/5000][260/535][112299] Loss_D: -0.021820 Loss_G: 0.007553 Loss_D_real: -0.022761 Loss_D_fake -0.000942
[1089/5000][265/535][112300] Loss_D: -0.022045 Loss_G: 0.007674 Loss_D_real: -0.022515 Loss_D_fake -0.000469
[1089/5000][270/535][112301] Loss_D: -0.021261 Loss_G: 0.003024 Loss_D_real: 0.010650 Loss_D_fake 0.031911
[1089/5000][275/535][112302] Loss_D: -0.021406 Loss_G: 0.019287 Loss_D_real: -0.032544 Loss_D_fake -0.011138
[1089/5000][280/535][112303] Loss_D: -0.022082 Loss_G: 0.018304 Loss_D_real: -0.032839 Loss_D_fake -0.010757
[1089/5000][285/535][112304] Loss_D: -0.023378 Loss_G: 0.007603 Loss_D_real: -0.011248 Loss_D_fake 0.012130
[1089/5000][290/535][112305] Loss_D: -0.022870 Loss_G: 0.005648 Loss_D_real: -0.028213 Loss_D_fake -0.005343
[1089/5000][295/535][112306] Loss_D: -0.022027 Loss_G: -0.005318 Loss_D_real: -0.014563 Loss_D_fake 0.007464
[1089/5000][300/535][112307] Loss_D: -0.022402 Loss_G: -0.007115 Loss_D_real: -0.000187 Loss_D_fake 0.022216
[1089/5000][305/535][112308] Loss_D: -0.022642 Loss_G: -0.012869 Loss_D_real: -0.014151 Loss_D_fake 0.008491
[1089/5000][310/535][112309] Loss_D: -0.020902 Loss_G: -0.004016 Loss_D_real: -0.009627 Loss_D_fake 0.011275
[1089/5000][315/535][112310] Loss_D: -0.018846 Loss_G: -0.005433 Loss_D_real: 0.012205 Loss_D_fake 0.031052
[1089/5000][320/535][112311] Loss_D: -0.020946 Loss_G: 0.014753 Loss_D_real: -0.022477 Loss_D_fake -0.001530
[1089/5000][325/535][112312] Loss_D: -0.020779 Loss_G: -0.015336 Loss_D_real: -0.002858 Loss_D_fake 0.017921
[1089/5000][330/535][112313] Loss_D: -0.020789 Loss_G: -0.021786 Loss_D_real: 0.003179 Loss_D_fake 0.023968
[1089/5000][335/535][112314] Loss_D: -0.020865 Loss_G: 0.012645 Loss_D_real: -0.018298 Loss_D_fake 0.002567
[1089/5000][340/535][112315] Loss_D: -0.022014 Loss_G: -0.007608 Loss_D_real: -0.003336 Loss_D_fake 0.018679
[1089/5000][345/535][112316] Loss_D: -0.022372 Loss_G: 0.020022 Loss_D_real: -0.022765 Loss_D_fake -0.000393
[1089/5000][350/535][112317] Loss_D: -0.020224 Loss_G: 0.025913 Loss_D_real: -0.029249 Loss_D_fake -0.009025
[1089/5000][355/535][112318] Loss_D: -0.021133 Loss_G: -0.008381 Loss_D_real: -0.013302 Loss_D_fake 0.007830
[1089/5000][360/535][112319] Loss_D: -0.021774 Loss_G: 0.009800 Loss_D_real: -0.016635 Loss_D_fake 0.005139
[1089/5000][365/535][112320] Loss_D: -0.020990 Loss_G: 0.005575 Loss_D_real: -0.016217 Loss_D_fake 0.004774
[1089/5000][370/535][112321] Loss_D: -0.020750 Loss_G: 0.015884 Loss_D_real: -0.038408 Loss_D_fake -0.017657
[1089/5000][375/535][112322] Loss_D: -0.022011 Loss_G: -0.005449 Loss_D_real: -0.005290 Loss_D_fake 0.016721
[1089/5000][380/535][112323] Loss_D: -0.022143 Loss_G: 0.018054 Loss_D_real: -0.033843 Loss_D_fake -0.011701
[1089/5000][385/535][112324] Loss_D: -0.021907 Loss_G: 0.006978 Loss_D_real: -0.017661 Loss_D_fake 0.004246
[1089/5000][390/535][112325] Loss_D: -0.022320 Loss_G: 0.007967 Loss_D_real: -0.020094 Loss_D_fake 0.002226
[1089/5000][395/535][112326] Loss_D: -0.021429 Loss_G: 0.030088 Loss_D_real: -0.031844 Loss_D_fake -0.010415
[1089/5000][400/535][112327] Loss_D: -0.021431 Loss_G: 0.011652 Loss_D_real: -0.024603 Loss_D_fake -0.003171
[1089/5000][405/535][112328] Loss_D: -0.019972 Loss_G: -0.014048 Loss_D_real: -0.014470 Loss_D_fake 0.005502
[1089/5000][410/535][112329] Loss_D: -0.021927 Loss_G: 0.021920 Loss_D_real: -0.023205 Loss_D_fake -0.001278
[1089/5000][415/535][112330] Loss_D: -0.021873 Loss_G: -0.006920 Loss_D_real: -0.002717 Loss_D_fake 0.019157
[1089/5000][420/535][112331] Loss_D: -0.021834 Loss_G: -0.003702 Loss_D_real: -0.009967 Loss_D_fake 0.011867
[1089/5000][425/535][112332] Loss_D: -0.020580 Loss_G: 0.011177 Loss_D_real: -0.033882 Loss_D_fake -0.013302
[1089/5000][430/535][112333] Loss_D: -0.021695 Loss_G: 0.021541 Loss_D_real: -0.024962 Loss_D_fake -0.003267
[1089/5000][435/535][112334] Loss_D: -0.022194 Loss_G: -0.001593 Loss_D_real: -0.017758 Loss_D_fake 0.004436
[1089/5000][440/535][112335] Loss_D: -0.022051 Loss_G: 0.017428 Loss_D_real: -0.022040 Loss_D_fake 0.000012
[1089/5000][445/535][112336] Loss_D: -0.021290 Loss_G: -0.004914 Loss_D_real: -0.019388 Loss_D_fake 0.001902
[1089/5000][450/535][112337] Loss_D: -0.023359 Loss_G: 0.005350 Loss_D_real: -0.006202 Loss_D_fake 0.017157
[1089/5000][455/535][112338] Loss_D: -0.021728 Loss_G: 0.009777 Loss_D_real: -0.006486 Loss_D_fake 0.015241
[1089/5000][460/535][112339] Loss_D: -0.021282 Loss_G: 0.007626 Loss_D_real: -0.015289 Loss_D_fake 0.005993
[1089/5000][465/535][112340] Loss_D: -0.022540 Loss_G: 0.021162 Loss_D_real: -0.019205 Loss_D_fake 0.003335
[1089/5000][470/535][112341] Loss_D: -0.020349 Loss_G: 0.011658 Loss_D_real: -0.024014 Loss_D_fake -0.003665
[1089/5000][475/535][112342] Loss_D: -0.020738 Loss_G: 0.016032 Loss_D_real: -0.029727 Loss_D_fake -0.008989
[1089/5000][480/535][112343] Loss_D: -0.023456 Loss_G: -0.006834 Loss_D_real: -0.009704 Loss_D_fake 0.013753
[1089/5000][485/535][112344] Loss_D: -0.020722 Loss_G: 0.016627 Loss_D_real: -0.020188 Loss_D_fake 0.000535
[1089/5000][490/535][112345] Loss_D: -0.022570 Loss_G: 0.010404 Loss_D_real: -0.019210 Loss_D_fake 0.003360
[1089/5000][495/535][112346] Loss_D: -0.021479 Loss_G: 0.007924 Loss_D_real: -0.020957 Loss_D_fake 0.000522
[1089/5000][500/535][112347] Loss_D: -0.021713 Loss_G: -0.000809 Loss_D_real: -0.020683 Loss_D_fake 0.001030
[1089/5000][505/535][112348] Loss_D: -0.021654 Loss_G: 0.004069 Loss_D_real: -0.008109 Loss_D_fake 0.013544
[1089/5000][510/535][112349] Loss_D: -0.021621 Loss_G: 0.002095 Loss_D_real: -0.012600 Loss_D_fake 0.009021
[1089/5000][515/535][112350] Loss_D: -0.021291 Loss_G: 0.008554 Loss_D_real: -0.017220 Loss_D_fake 0.004071
[1089/5000][520/535][112351] Loss_D: -0.021558 Loss_G: -0.013334 Loss_D_real: -0.012823 Loss_D_fake 0.008735
[1089/5000][525/535][112352] Loss_D: -0.021267 Loss_G: 0.015452 Loss_D_real: -0.015469 Loss_D_fake 0.005797
[1089/5000][530/535][112353] Loss_D: -0.021445 Loss_G: 0.010731 Loss_D_real: -0.021410 Loss_D_fake 0.000035
[1089/5000][535/535][112354] Loss_D: -0.018167 Loss_G: -0.010117 Loss_D_real: -0.014390 Loss_D_fake 0.003777
[1090/5000][5/535][112355] Loss_D: -0.019539 Loss_G: -0.022038 Loss_D_real: 0.000923 Loss_D_fake 0.020461
[1090/5000][10/535][112356] Loss_D: -0.021711 Loss_G: 0.021868 Loss_D_real: -0.017098 Loss_D_fake 0.004613
[1090/5000][15/535][112357] Loss_D: -0.020929 Loss_G: 0.007937 Loss_D_real: -0.018353 Loss_D_fake 0.002576
[1090/5000][20/535][112358] Loss_D: -0.021237 Loss_G: 0.017356 Loss_D_real: -0.026434 Loss_D_fake -0.005197
[1090/5000][25/535][112359] Loss_D: -0.021099 Loss_G: 0.008583 Loss_D_real: -0.012257 Loss_D_fake 0.008842
[1090/5000][30/535][112360] Loss_D: -0.021431 Loss_G: 0.006084 Loss_D_real: -0.012869 Loss_D_fake 0.008562
[1090/5000][35/535][112361] Loss_D: -0.022208 Loss_G: 0.006434 Loss_D_real: -0.031391 Loss_D_fake -0.009183
[1090/5000][40/535][112362] Loss_D: -0.021927 Loss_G: 0.031100 Loss_D_real: -0.033505 Loss_D_fake -0.011578
[1090/5000][45/535][112363] Loss_D: -0.021867 Loss_G: 0.010642 Loss_D_real: -0.026122 Loss_D_fake -0.004255
[1090/5000][50/535][112364] Loss_D: -0.019609 Loss_G: 0.024161 Loss_D_real: -0.033616 Loss_D_fake -0.014007
[1090/5000][55/535][112365] Loss_D: -0.022903 Loss_G: 0.017966 Loss_D_real: -0.012916 Loss_D_fake 0.009987
[1090/5000][60/535][112366] Loss_D: -0.021066 Loss_G: 0.012647 Loss_D_real: -0.031790 Loss_D_fake -0.010723
[1090/5000][65/535][112367] Loss_D: -0.021450 Loss_G: -0.014584 Loss_D_real: 0.000172 Loss_D_fake 0.021622
[1090/5000][70/535][112368] Loss_D: -0.021533 Loss_G: 0.021891 Loss_D_real: -0.022888 Loss_D_fake -0.001354
[1090/5000][75/535][112369] Loss_D: -0.021163 Loss_G: 0.010190 Loss_D_real: -0.019081 Loss_D_fake 0.002082
[1090/5000][80/535][112370] Loss_D: -0.020934 Loss_G: -0.007688 Loss_D_real: -0.012650 Loss_D_fake 0.008284
[1090/5000][85/535][112371] Loss_D: -0.021714 Loss_G: -0.000776 Loss_D_real: -0.012887 Loss_D_fake 0.008827
[1090/5000][90/535][112372] Loss_D: -0.020028 Loss_G: -0.013917 Loss_D_real: -0.005114 Loss_D_fake 0.014914
[1090/5000][95/535][112373] Loss_D: -0.019911 Loss_G: 0.005993 Loss_D_real: -0.023446 Loss_D_fake -0.003535
[1090/5000][100/535][112374] Loss_D: -0.021733 Loss_G: 0.015976 Loss_D_real: -0.013147 Loss_D_fake 0.008586
[1090/5000][105/535][112375] Loss_D: -0.020900 Loss_G: 0.008620 Loss_D_real: -0.020590 Loss_D_fake 0.000310
[1090/5000][110/535][112376] Loss_D: -0.021083 Loss_G: 0.006013 Loss_D_real: -0.006934 Loss_D_fake 0.014149
[1090/5000][115/535][112377] Loss_D: -0.021750 Loss_G: -0.001389 Loss_D_real: -0.012618 Loss_D_fake 0.009131
[1090/5000][120/535][112378] Loss_D: -0.023517 Loss_G: 0.024849 Loss_D_real: -0.010523 Loss_D_fake 0.012994
[1090/5000][125/535][112379] Loss_D: -0.022373 Loss_G: 0.004269 Loss_D_real: -0.011269 Loss_D_fake 0.011104
[1090/5000][130/535][112380] Loss_D: -0.021248 Loss_G: 0.013443 Loss_D_real: -0.019800 Loss_D_fake 0.001448
[1090/5000][135/535][112381] Loss_D: -0.022136 Loss_G: -0.000937 Loss_D_real: -0.004055 Loss_D_fake 0.018082
[1090/5000][140/535][112382] Loss_D: -0.022211 Loss_G: 0.005034 Loss_D_real: -0.017275 Loss_D_fake 0.004936
[1090/5000][145/535][112383] Loss_D: -0.021903 Loss_G: -0.001076 Loss_D_real: -0.013998 Loss_D_fake 0.007905
[1090/5000][150/535][112384] Loss_D: -0.021263 Loss_G: 0.006947 Loss_D_real: -0.001768 Loss_D_fake 0.019495
[1090/5000][155/535][112385] Loss_D: -0.021355 Loss_G: -0.006875 Loss_D_real: -0.011243 Loss_D_fake 0.010112
[1090/5000][160/535][112386] Loss_D: -0.020213 Loss_G: 0.013611 Loss_D_real: -0.028200 Loss_D_fake -0.007987
[1090/5000][165/535][112387] Loss_D: -0.020924 Loss_G: 0.004588 Loss_D_real: -0.012271 Loss_D_fake 0.008654
[1090/5000][170/535][112388] Loss_D: -0.021501 Loss_G: -0.003213 Loss_D_real: -0.010255 Loss_D_fake 0.011246
[1090/5000][175/535][112389] Loss_D: -0.023252 Loss_G: 0.006371 Loss_D_real: -0.006794 Loss_D_fake 0.016458
[1090/5000][180/535][112390] Loss_D: -0.023425 Loss_G: 0.005303 Loss_D_real: -0.017313 Loss_D_fake 0.006112
[1090/5000][185/535][112391] Loss_D: -0.021934 Loss_G: 0.013298 Loss_D_real: -0.034911 Loss_D_fake -0.012977
[1090/5000][190/535][112392] Loss_D: -0.021788 Loss_G: 0.023633 Loss_D_real: -0.020364 Loss_D_fake 0.001424
[1090/5000][195/535][112393] Loss_D: -0.021247 Loss_G: 0.014586 Loss_D_real: -0.017408 Loss_D_fake 0.003839
[1090/5000][200/535][112394] Loss_D: -0.020408 Loss_G: 0.026359 Loss_D_real: -0.029475 Loss_D_fake -0.009067
[1090/5000][205/535][112395] Loss_D: -0.021965 Loss_G: 0.007514 Loss_D_real: -0.019272 Loss_D_fake 0.002693
[1090/5000][210/535][112396] Loss_D: -0.021435 Loss_G: 0.018884 Loss_D_real: -0.033239 Loss_D_fake -0.011803
[1090/5000][215/535][112397] Loss_D: -0.021733 Loss_G: 0.006588 Loss_D_real: -0.014948 Loss_D_fake 0.006785
[1090/5000][220/535][112398] Loss_D: -0.020819 Loss_G: 0.028210 Loss_D_real: -0.031027 Loss_D_fake -0.010208
[1090/5000][225/535][112399] Loss_D: -0.022407 Loss_G: 0.005493 Loss_D_real: -0.029719 Loss_D_fake -0.007312
[1090/5000][230/535][112400] Loss_D: -0.021491 Loss_G: 0.024245 Loss_D_real: -0.026446 Loss_D_fake -0.004955
[1090/5000][235/535][112401] Loss_D: -0.022033 Loss_G: 0.000274 Loss_D_real: -0.013833 Loss_D_fake 0.008201
[1090/5000][240/535][112402] Loss_D: -0.021964 Loss_G: 0.016377 Loss_D_real: -0.025603 Loss_D_fake -0.003639
[1090/5000][245/535][112403] Loss_D: -0.020882 Loss_G: 0.000993 Loss_D_real: -0.023551 Loss_D_fake -0.002670
[1090/5000][250/535][112404] Loss_D: -0.022469 Loss_G: 0.008808 Loss_D_real: -0.020020 Loss_D_fake 0.002449
[1090/5000][255/535][112405] Loss_D: -0.019827 Loss_G: 0.007568 Loss_D_real: -0.010710 Loss_D_fake 0.009117
[1090/5000][260/535][112406] Loss_D: -0.021603 Loss_G: 0.015158 Loss_D_real: -0.022608 Loss_D_fake -0.001004
[1090/5000][265/535][112407] Loss_D: -0.021953 Loss_G: 0.015643 Loss_D_real: -0.026566 Loss_D_fake -0.004613
[1090/5000][270/535][112408] Loss_D: -0.021769 Loss_G: -0.004776 Loss_D_real: -0.011908 Loss_D_fake 0.009861
[1090/5000][275/535][112409] Loss_D: -0.021429 Loss_G: 0.013307 Loss_D_real: -0.014730 Loss_D_fake 0.006700
[1090/5000][280/535][112410] Loss_D: -0.021078 Loss_G: -0.015433 Loss_D_real: -0.005335 Loss_D_fake 0.015743
[1090/5000][285/535][112411] Loss_D: -0.022027 Loss_G: 0.018456 Loss_D_real: -0.016131 Loss_D_fake 0.005897
[1090/5000][290/535][112412] Loss_D: -0.021565 Loss_G: 0.016077 Loss_D_real: -0.024435 Loss_D_fake -0.002870
[1090/5000][295/535][112413] Loss_D: -0.021822 Loss_G: 0.004051 Loss_D_real: -0.012490 Loss_D_fake 0.009333
[1090/5000][300/535][112414] Loss_D: -0.021698 Loss_G: 0.016918 Loss_D_real: -0.026002 Loss_D_fake -0.004303
[1090/5000][305/535][112415] Loss_D: -0.020857 Loss_G: 0.024923 Loss_D_real: -0.024321 Loss_D_fake -0.003464
[1090/5000][310/535][112416] Loss_D: -0.021910 Loss_G: -0.006361 Loss_D_real: -0.014121 Loss_D_fake 0.007789
[1090/5000][315/535][112417] Loss_D: -0.021653 Loss_G: 0.017058 Loss_D_real: -0.024051 Loss_D_fake -0.002398
[1090/5000][320/535][112418] Loss_D: -0.021799 Loss_G: 0.004936 Loss_D_real: -0.016137 Loss_D_fake 0.005662
[1090/5000][325/535][112419] Loss_D: -0.024096 Loss_G: 0.011386 Loss_D_real: -0.018361 Loss_D_fake 0.005736
[1090/5000][330/535][112420] Loss_D: -0.021485 Loss_G: -0.015707 Loss_D_real: -0.009665 Loss_D_fake 0.011820
[1090/5000][335/535][112421] Loss_D: -0.021214 Loss_G: 0.028976 Loss_D_real: -0.023184 Loss_D_fake -0.001970
[1090/5000][340/535][112422] Loss_D: -0.022863 Loss_G: 0.004933 Loss_D_real: -0.013318 Loss_D_fake 0.009545
[1090/5000][345/535][112423] Loss_D: -0.021719 Loss_G: 0.023870 Loss_D_real: -0.030085 Loss_D_fake -0.008366
[1090/5000][350/535][112424] Loss_D: -0.021508 Loss_G: 0.024095 Loss_D_real: -0.025827 Loss_D_fake -0.004319
[1090/5000][355/535][112425] Loss_D: -0.021939 Loss_G: -0.013220 Loss_D_real: -0.012911 Loss_D_fake 0.009028
[1090/5000][360/535][112426] Loss_D: -0.022096 Loss_G: 0.011072 Loss_D_real: -0.028043 Loss_D_fake -0.005947
[1090/5000][365/535][112427] Loss_D: -0.021426 Loss_G: -0.022177 Loss_D_real: 0.001862 Loss_D_fake 0.023288
[1090/5000][370/535][112428] Loss_D: -0.022095 Loss_G: 0.017233 Loss_D_real: -0.022443 Loss_D_fake -0.000348
[1090/5000][375/535][112429] Loss_D: -0.021153 Loss_G: 0.008854 Loss_D_real: -0.019711 Loss_D_fake 0.001442
[1090/5000][380/535][112430] Loss_D: -0.021564 Loss_G: 0.012168 Loss_D_real: -0.022116 Loss_D_fake -0.000552
[1090/5000][385/535][112431] Loss_D: -0.022731 Loss_G: -0.006687 Loss_D_real: -0.004413 Loss_D_fake 0.018318
[1090/5000][390/535][112432] Loss_D: -0.021784 Loss_G: 0.007691 Loss_D_real: -0.018812 Loss_D_fake 0.002971
[1090/5000][395/535][112433] Loss_D: -0.021978 Loss_G: 0.015687 Loss_D_real: -0.027120 Loss_D_fake -0.005141
[1090/5000][400/535][112434] Loss_D: -0.022549 Loss_G: 0.015735 Loss_D_real: -0.021217 Loss_D_fake 0.001332
[1090/5000][405/535][112435] Loss_D: -0.022677 Loss_G: 0.009223 Loss_D_real: -0.008345 Loss_D_fake 0.014332
[1090/5000][410/535][112436] Loss_D: -0.020723 Loss_G: 0.018937 Loss_D_real: -0.027798 Loss_D_fake -0.007075
[1090/5000][415/535][112437] Loss_D: -0.021136 Loss_G: 0.022652 Loss_D_real: -0.022929 Loss_D_fake -0.001794
[1090/5000][420/535][112438] Loss_D: -0.021779 Loss_G: -0.010232 Loss_D_real: -0.017768 Loss_D_fake 0.004011
[1090/5000][425/535][112439] Loss_D: -0.021287 Loss_G: 0.011157 Loss_D_real: -0.029403 Loss_D_fake -0.008116
[1090/5000][430/535][112440] Loss_D: -0.020164 Loss_G: 0.029394 Loss_D_real: -0.023512 Loss_D_fake -0.003349
[1090/5000][435/535][112441] Loss_D: -0.021886 Loss_G: 0.005219 Loss_D_real: -0.026114 Loss_D_fake -0.004228
[1090/5000][440/535][112442] Loss_D: -0.021981 Loss_G: 0.013666 Loss_D_real: -0.020507 Loss_D_fake 0.001475
[1090/5000][445/535][112443] Loss_D: -0.021878 Loss_G: 0.009545 Loss_D_real: -0.024350 Loss_D_fake -0.002472
[1090/5000][450/535][112444] Loss_D: -0.021337 Loss_G: 0.010139 Loss_D_real: -0.029910 Loss_D_fake -0.008573
[1090/5000][455/535][112445] Loss_D: -0.022240 Loss_G: 0.024564 Loss_D_real: -0.033625 Loss_D_fake -0.011385
[1090/5000][460/535][112446] Loss_D: -0.022681 Loss_G: 0.001867 Loss_D_real: -0.013228 Loss_D_fake 0.009453
[1090/5000][465/535][112447] Loss_D: -0.020498 Loss_G: 0.013497 Loss_D_real: -0.021118 Loss_D_fake -0.000620
[1090/5000][470/535][112448] Loss_D: -0.021191 Loss_G: 0.001159 Loss_D_real: -0.015551 Loss_D_fake 0.005640
[1090/5000][475/535][112449] Loss_D: -0.021421 Loss_G: 0.003212 Loss_D_real: -0.016651 Loss_D_fake 0.004770
[1090/5000][480/535][112450] Loss_D: -0.023453 Loss_G: 0.009510 Loss_D_real: -0.020672 Loss_D_fake 0.002782
[1090/5000][485/535][112451] Loss_D: -0.022206 Loss_G: 0.002340 Loss_D_real: -0.018513 Loss_D_fake 0.003693
[1090/5000][490/535][112452] Loss_D: -0.021603 Loss_G: -0.009353 Loss_D_real: -0.003805 Loss_D_fake 0.017797
[1090/5000][495/535][112453] Loss_D: -0.020855 Loss_G: -0.000325 Loss_D_real: -0.014778 Loss_D_fake 0.006077
[1090/5000][500/535][112454] Loss_D: -0.022384 Loss_G: -0.001122 Loss_D_real: -0.011929 Loss_D_fake 0.010456
[1090/5000][505/535][112455] Loss_D: -0.020774 Loss_G: 0.020851 Loss_D_real: -0.032981 Loss_D_fake -0.012207
[1090/5000][510/535][112456] Loss_D: -0.022007 Loss_G: 0.001828 Loss_D_real: -0.012396 Loss_D_fake 0.009611
[1090/5000][515/535][112457] Loss_D: -0.020947 Loss_G: 0.016058 Loss_D_real: -0.015878 Loss_D_fake 0.005069
[1090/5000][520/535][112458] Loss_D: -0.019840 Loss_G: 0.024576 Loss_D_real: -0.036480 Loss_D_fake -0.016640
[1090/5000][525/535][112459] Loss_D: -0.023106 Loss_G: 0.001288 Loss_D_real: -0.017382 Loss_D_fake 0.005724
[1090/5000][530/535][112460] Loss_D: -0.021735 Loss_G: -0.012579 Loss_D_real: -0.007523 Loss_D_fake 0.014212
[1090/5000][535/535][112461] Loss_D: -0.021321 Loss_G: 0.020908 Loss_D_real: -0.019589 Loss_D_fake 0.001732
[1091/5000][5/535][112462] Loss_D: -0.022001 Loss_G: -0.006642 Loss_D_real: -0.007244 Loss_D_fake 0.014757
[1091/5000][10/535][112463] Loss_D: -0.021305 Loss_G: 0.013324 Loss_D_real: -0.020731 Loss_D_fake 0.000574
[1091/5000][15/535][112464] Loss_D: -0.021237 Loss_G: 0.017995 Loss_D_real: -0.018375 Loss_D_fake 0.002862
[1091/5000][20/535][112465] Loss_D: -0.023411 Loss_G: 0.011002 Loss_D_real: -0.006953 Loss_D_fake 0.016458
[1091/5000][25/535][112466] Loss_D: -0.021544 Loss_G: -0.006010 Loss_D_real: -0.009265 Loss_D_fake 0.012280
[1091/5000][30/535][112467] Loss_D: -0.022390 Loss_G: 0.014644 Loss_D_real: -0.019291 Loss_D_fake 0.003099
[1091/5000][35/535][112468] Loss_D: -0.020959 Loss_G: 0.002573 Loss_D_real: -0.011516 Loss_D_fake 0.009442
[1091/5000][40/535][112469] Loss_D: -0.022738 Loss_G: 0.003969 Loss_D_real: -0.011125 Loss_D_fake 0.011612
[1091/5000][45/535][112470] Loss_D: -0.020780 Loss_G: -0.001325 Loss_D_real: -0.009599 Loss_D_fake 0.011180
[1091/5000][50/535][112471] Loss_D: -0.020867 Loss_G: 0.018128 Loss_D_real: -0.030370 Loss_D_fake -0.009503
[1091/5000][55/535][112472] Loss_D: -0.024278 Loss_G: -0.009834 Loss_D_real: -0.010712 Loss_D_fake 0.013566
[1091/5000][60/535][112473] Loss_D: -0.022327 Loss_G: 0.007155 Loss_D_real: -0.026573 Loss_D_fake -0.004247
[1091/5000][65/535][112474] Loss_D: -0.022125 Loss_G: 0.027397 Loss_D_real: -0.028957 Loss_D_fake -0.006832
[1091/5000][70/535][112475] Loss_D: -0.022276 Loss_G: 0.009209 Loss_D_real: -0.026966 Loss_D_fake -0.004691
[1091/5000][75/535][112476] Loss_D: -0.022372 Loss_G: 0.002113 Loss_D_real: -0.023770 Loss_D_fake -0.001398
[1091/5000][80/535][112477] Loss_D: -0.021876 Loss_G: -0.011891 Loss_D_real: -0.001264 Loss_D_fake 0.020612
[1091/5000][85/535][112478] Loss_D: -0.022534 Loss_G: 0.001800 Loss_D_real: -0.016494 Loss_D_fake 0.006040
[1091/5000][90/535][112479] Loss_D: -0.021527 Loss_G: 0.025750 Loss_D_real: -0.033092 Loss_D_fake -0.011565
[1091/5000][95/535][112480] Loss_D: -0.020821 Loss_G: 0.007923 Loss_D_real: -0.023407 Loss_D_fake -0.002586
[1091/5000][100/535][112481] Loss_D: -0.021557 Loss_G: 0.006326 Loss_D_real: -0.005751 Loss_D_fake 0.015806
[1091/5000][105/535][112482] Loss_D: -0.021979 Loss_G: -0.000871 Loss_D_real: -0.015688 Loss_D_fake 0.006291
[1091/5000][110/535][112483] Loss_D: -0.020918 Loss_G: 0.017864 Loss_D_real: -0.019886 Loss_D_fake 0.001032
[1091/5000][115/535][112484] Loss_D: -0.021579 Loss_G: 0.001181 Loss_D_real: -0.019249 Loss_D_fake 0.002330
[1091/5000][120/535][112485] Loss_D: -0.021390 Loss_G: 0.017166 Loss_D_real: -0.032336 Loss_D_fake -0.010946
[1091/5000][125/535][112486] Loss_D: -0.021514 Loss_G: 0.002725 Loss_D_real: -0.013043 Loss_D_fake 0.008471
[1091/5000][130/535][112487] Loss_D: -0.021550 Loss_G: 0.022412 Loss_D_real: -0.030695 Loss_D_fake -0.009145
[1091/5000][135/535][112488] Loss_D: -0.020988 Loss_G: -0.003891 Loss_D_real: -0.008562 Loss_D_fake 0.012426
[1091/5000][140/535][112489] Loss_D: -0.023039 Loss_G: 0.006071 Loss_D_real: -0.023531 Loss_D_fake -0.000492
[1091/5000][145/535][112490] Loss_D: -0.021895 Loss_G: 0.003781 Loss_D_real: -0.010636 Loss_D_fake 0.011259
[1091/5000][150/535][112491] Loss_D: -0.021359 Loss_G: 0.010232 Loss_D_real: -0.012322 Loss_D_fake 0.009036
[1091/5000][155/535][112492] Loss_D: -0.022517 Loss_G: 0.015323 Loss_D_real: -0.019052 Loss_D_fake 0.003466
[1091/5000][160/535][112493] Loss_D: -0.023172 Loss_G: -0.008946 Loss_D_real: -0.006080 Loss_D_fake 0.017092
[1091/5000][165/535][112494] Loss_D: -0.021743 Loss_G: 0.000192 Loss_D_real: -0.020964 Loss_D_fake 0.000779
[1091/5000][170/535][112495] Loss_D: -0.021122 Loss_G: 0.019782 Loss_D_real: -0.031247 Loss_D_fake -0.010125
[1091/5000][175/535][112496] Loss_D: -0.022962 Loss_G: 0.014729 Loss_D_real: -0.027395 Loss_D_fake -0.004433
[1091/5000][180/535][112497] Loss_D: -0.021536 Loss_G: -0.005379 Loss_D_real: -0.005597 Loss_D_fake 0.015939
[1091/5000][185/535][112498] Loss_D: -0.020462 Loss_G: 0.026266 Loss_D_real: -0.026381 Loss_D_fake -0.005918
[1091/5000][190/535][112499] Loss_D: -0.022166 Loss_G: -0.004006 Loss_D_real: -0.005768 Loss_D_fake 0.016398
[1091/5000][195/535][112500] Loss_D: -0.020706 Loss_G: 0.010582 Loss_D_real: -0.019253 Loss_D_fake 0.001453
[1091/5000][295/535][112501] Loss_D: -0.024929 Loss_G: 0.023217 Loss_D_real: -0.023151 Loss_D_fake 0.001777
[1091/5000][300/535][112502] Loss_D: -0.023532 Loss_G: 0.021685 Loss_D_real: -0.008726 Loss_D_fake 0.014807
[1091/5000][305/535][112503] Loss_D: -0.022471 Loss_G: 0.004819 Loss_D_real: -0.006878 Loss_D_fake 0.015594
[1091/5000][310/535][112504] Loss_D: -0.020052 Loss_G: -0.020659 Loss_D_real: -0.007398 Loss_D_fake 0.012654
[1091/5000][315/535][112505] Loss_D: -0.020656 Loss_G: 0.019867 Loss_D_real: -0.017092 Loss_D_fake 0.003564
[1091/5000][320/535][112506] Loss_D: -0.019245 Loss_G: 0.018987 Loss_D_real: -0.024625 Loss_D_fake -0.005380
[1091/5000][325/535][112507] Loss_D: -0.020380 Loss_G: 0.009638 Loss_D_real: -0.014057 Loss_D_fake 0.006323
[1091/5000][330/535][112508] Loss_D: -0.020810 Loss_G: 0.001960 Loss_D_real: -0.011027 Loss_D_fake 0.009783
[1091/5000][335/535][112509] Loss_D: -0.020091 Loss_G: 0.002756 Loss_D_real: -0.011495 Loss_D_fake 0.008596
[1091/5000][340/535][112510] Loss_D: -0.020597 Loss_G: 0.007649 Loss_D_real: -0.020007 Loss_D_fake 0.000590
[1091/5000][345/535][112511] Loss_D: -0.021971 Loss_G: -0.002146 Loss_D_real: -0.016876 Loss_D_fake 0.005096
[1091/5000][350/535][112512] Loss_D: -0.020283 Loss_G: 0.009796 Loss_D_real: -0.024396 Loss_D_fake -0.004113
[1091/5000][355/535][112513] Loss_D: -0.021772 Loss_G: 0.012030 Loss_D_real: -0.015430 Loss_D_fake 0.006342
[1091/5000][360/535][112514] Loss_D: -0.021056 Loss_G: 0.005476 Loss_D_real: -0.011676 Loss_D_fake 0.009380
[1091/5000][365/535][112515] Loss_D: -0.021631 Loss_G: 0.007675 Loss_D_real: -0.026408 Loss_D_fake -0.004777
[1091/5000][370/535][112516] Loss_D: -0.021067 Loss_G: 0.011914 Loss_D_real: -0.020700 Loss_D_fake 0.000367
[1091/5000][375/535][112517] Loss_D: -0.020109 Loss_G: -0.013625 Loss_D_real: 0.000326 Loss_D_fake 0.020435
[1091/5000][380/535][112518] Loss_D: -0.021848 Loss_G: 0.025578 Loss_D_real: -0.021222 Loss_D_fake 0.000626
[1091/5000][385/535][112519] Loss_D: -0.020533 Loss_G: 0.015654 Loss_D_real: -0.020684 Loss_D_fake -0.000151
[1091/5000][390/535][112520] Loss_D: -0.022211 Loss_G: 0.013322 Loss_D_real: -0.028097 Loss_D_fake -0.005887
[1091/5000][395/535][112521] Loss_D: -0.021439 Loss_G: 0.014550 Loss_D_real: -0.023228 Loss_D_fake -0.001789
[1091/5000][400/535][112522] Loss_D: -0.019978 Loss_G: -0.013510 Loss_D_real: 0.003172 Loss_D_fake 0.023150
[1091/5000][405/535][112523] Loss_D: -0.021137 Loss_G: 0.009715 Loss_D_real: -0.024616 Loss_D_fake -0.003479
[1091/5000][410/535][112524] Loss_D: -0.023010 Loss_G: -0.005681 Loss_D_real: -0.017591 Loss_D_fake 0.005420
[1091/5000][415/535][112525] Loss_D: -0.021617 Loss_G: 0.009977 Loss_D_real: -0.023086 Loss_D_fake -0.001469
[1091/5000][420/535][112526] Loss_D: -0.022885 Loss_G: 0.004123 Loss_D_real: -0.018632 Loss_D_fake 0.004252
[1091/5000][425/535][112527] Loss_D: -0.018447 Loss_G: 0.034619 Loss_D_real: -0.032411 Loss_D_fake -0.013965
[1091/5000][430/535][112528] Loss_D: -0.020574 Loss_G: 0.018002 Loss_D_real: -0.017613 Loss_D_fake 0.002962
[1091/5000][435/535][112529] Loss_D: -0.022344 Loss_G: 0.001721 Loss_D_real: -0.015639 Loss_D_fake 0.006705
[1091/5000][440/535][112530] Loss_D: -0.020595 Loss_G: 0.013978 Loss_D_real: -0.008199 Loss_D_fake 0.012396
[1091/5000][445/535][112531] Loss_D: -0.021072 Loss_G: 0.021664 Loss_D_real: -0.022147 Loss_D_fake -0.001075
[1091/5000][450/535][112532] Loss_D: -0.021659 Loss_G: 0.011213 Loss_D_real: -0.024043 Loss_D_fake -0.002383
[1091/5000][455/535][112533] Loss_D: -0.020395 Loss_G: 0.023483 Loss_D_real: -0.022470 Loss_D_fake -0.002075
[1091/5000][460/535][112534] Loss_D: -0.021101 Loss_G: 0.008812 Loss_D_real: -0.016334 Loss_D_fake 0.004767
[1091/5000][465/535][112535] Loss_D: -0.020403 Loss_G: -0.011450 Loss_D_real: -0.007025 Loss_D_fake 0.013378
[1091/5000][470/535][112536] Loss_D: -0.020934 Loss_G: 0.004214 Loss_D_real: -0.013032 Loss_D_fake 0.007902
[1091/5000][475/535][112537] Loss_D: -0.022027 Loss_G: 0.003690 Loss_D_real: -0.009789 Loss_D_fake 0.012237
[1091/5000][480/535][112538] Loss_D: -0.022708 Loss_G: 0.020838 Loss_D_real: -0.013768 Loss_D_fake 0.008940
[1091/5000][485/535][112539] Loss_D: -0.022682 Loss_G: -0.000284 Loss_D_real: -0.030289 Loss_D_fake -0.007607
[1091/5000][490/535][112540] Loss_D: -0.021670 Loss_G: 0.000474 Loss_D_real: -0.008477 Loss_D_fake 0.013193
[1091/5000][495/535][112541] Loss_D: -0.021690 Loss_G: 0.030833 Loss_D_real: -0.025339 Loss_D_fake -0.003648
[1091/5000][500/535][112542] Loss_D: -0.021478 Loss_G: 0.005705 Loss_D_real: -0.021247 Loss_D_fake 0.000231
[1091/5000][505/535][112543] Loss_D: -0.021933 Loss_G: 0.011484 Loss_D_real: -0.021233 Loss_D_fake 0.000699
[1091/5000][510/535][112544] Loss_D: -0.021012 Loss_G: -0.002497 Loss_D_real: -0.016099 Loss_D_fake 0.004913
[1091/5000][515/535][112545] Loss_D: -0.020867 Loss_G: 0.012571 Loss_D_real: -0.015313 Loss_D_fake 0.005554
[1091/5000][520/535][112546] Loss_D: -0.022028 Loss_G: 0.008318 Loss_D_real: -0.022533 Loss_D_fake -0.000506
[1091/5000][525/535][112547] Loss_D: -0.021029 Loss_G: 0.016168 Loss_D_real: -0.022443 Loss_D_fake -0.001414
[1091/5000][530/535][112548] Loss_D: -0.023116 Loss_G: 0.003965 Loss_D_real: -0.020341 Loss_D_fake 0.002775
[1091/5000][535/535][112549] Loss_D: -0.020908 Loss_G: 0.021385 Loss_D_real: -0.022410 Loss_D_fake -0.001502
[1092/5000][5/535][112550] Loss_D: -0.023557 Loss_G: 0.001681 Loss_D_real: -0.027963 Loss_D_fake -0.004405
[1092/5000][10/535][112551] Loss_D: -0.021975 Loss_G: -0.011100 Loss_D_real: -0.014733 Loss_D_fake 0.007242
[1092/5000][15/535][112552] Loss_D: -0.022360 Loss_G: -0.008467 Loss_D_real: -0.008741 Loss_D_fake 0.013620
[1092/5000][20/535][112553] Loss_D: -0.021822 Loss_G: 0.029408 Loss_D_real: -0.027835 Loss_D_fake -0.006012
[1092/5000][25/535][112554] Loss_D: -0.020606 Loss_G: 0.000136 Loss_D_real: -0.011132 Loss_D_fake 0.009474
[1092/5000][30/535][112555] Loss_D: -0.021588 Loss_G: 0.000472 Loss_D_real: -0.025725 Loss_D_fake -0.004137
[1092/5000][35/535][112556] Loss_D: -0.021420 Loss_G: 0.024127 Loss_D_real: -0.026554 Loss_D_fake -0.005134
[1092/5000][40/535][112557] Loss_D: -0.021909 Loss_G: 0.007753 Loss_D_real: -0.015594 Loss_D_fake 0.006314
[1092/5000][45/535][112558] Loss_D: -0.020904 Loss_G: 0.006024 Loss_D_real: -0.021980 Loss_D_fake -0.001076
[1092/5000][50/535][112559] Loss_D: -0.021207 Loss_G: 0.012595 Loss_D_real: -0.008118 Loss_D_fake 0.013089
[1092/5000][55/535][112560] Loss_D: -0.021404 Loss_G: -0.003086 Loss_D_real: -0.008617 Loss_D_fake 0.012787
[1092/5000][60/535][112561] Loss_D: -0.021705 Loss_G: 0.005255 Loss_D_real: -0.017213 Loss_D_fake 0.004491
[1092/5000][65/535][112562] Loss_D: -0.021552 Loss_G: 0.013759 Loss_D_real: -0.033986 Loss_D_fake -0.012434
[1092/5000][70/535][112563] Loss_D: -0.022078 Loss_G: 0.018295 Loss_D_real: -0.024025 Loss_D_fake -0.001947
[1092/5000][75/535][112564] Loss_D: -0.022402 Loss_G: 0.023224 Loss_D_real: -0.014411 Loss_D_fake 0.007990
[1092/5000][80/535][112565] Loss_D: -0.023958 Loss_G: 0.009358 Loss_D_real: -0.023655 Loss_D_fake 0.000303
[1092/5000][85/535][112566] Loss_D: -0.020751 Loss_G: -0.007221 Loss_D_real: -0.014115 Loss_D_fake 0.006637
[1092/5000][90/535][112567] Loss_D: -0.021940 Loss_G: 0.016740 Loss_D_real: -0.024711 Loss_D_fake -0.002771
[1092/5000][95/535][112568] Loss_D: -0.021061 Loss_G: 0.011668 Loss_D_real: -0.030458 Loss_D_fake -0.009397
[1092/5000][100/535][112569] Loss_D: -0.021235 Loss_G: -0.000503 Loss_D_real: -0.010339 Loss_D_fake 0.010896
[1092/5000][105/535][112570] Loss_D: -0.021867 Loss_G: 0.008602 Loss_D_real: -0.023931 Loss_D_fake -0.002064
[1092/5000][110/535][112571] Loss_D: -0.022397 Loss_G: 0.009566 Loss_D_real: -0.011618 Loss_D_fake 0.010780
[1092/5000][115/535][112572] Loss_D: -0.021820 Loss_G: 0.013691 Loss_D_real: -0.014875 Loss_D_fake 0.006945
[1092/5000][120/535][112573] Loss_D: -0.021337 Loss_G: 0.005439 Loss_D_real: -0.015837 Loss_D_fake 0.005500
[1092/5000][125/535][112574] Loss_D: -0.021763 Loss_G: -0.006468 Loss_D_real: -0.009671 Loss_D_fake 0.012093
[1092/5000][130/535][112575] Loss_D: -0.020161 Loss_G: 0.017557 Loss_D_real: -0.038114 Loss_D_fake -0.017953
[1092/5000][135/535][112576] Loss_D: -0.022093 Loss_G: -0.003057 Loss_D_real: -0.013359 Loss_D_fake 0.008735
[1092/5000][140/535][112577] Loss_D: -0.021680 Loss_G: 0.015718 Loss_D_real: -0.025125 Loss_D_fake -0.003444
[1092/5000][145/535][112578] Loss_D: -0.021672 Loss_G: 0.005881 Loss_D_real: -0.009678 Loss_D_fake 0.011994
[1092/5000][150/535][112579] Loss_D: -0.020211 Loss_G: 0.002604 Loss_D_real: -0.010483 Loss_D_fake 0.009729
[1092/5000][155/535][112580] Loss_D: -0.020566 Loss_G: 0.012929 Loss_D_real: -0.031160 Loss_D_fake -0.010594
[1092/5000][160/535][112581] Loss_D: -0.022476 Loss_G: 0.021141 Loss_D_real: -0.013116 Loss_D_fake 0.009360
[1092/5000][165/535][112582] Loss_D: -0.021696 Loss_G: 0.011879 Loss_D_real: -0.014803 Loss_D_fake 0.006893
[1092/5000][170/535][112583] Loss_D: -0.019706 Loss_G: 0.014914 Loss_D_real: -0.022111 Loss_D_fake -0.002406
[1092/5000][175/535][112584] Loss_D: -0.021020 Loss_G: -0.007426 Loss_D_real: -0.002215 Loss_D_fake 0.018805
[1092/5000][180/535][112585] Loss_D: -0.022226 Loss_G: 0.007901 Loss_D_real: -0.016543 Loss_D_fake 0.005683
[1092/5000][185/535][112586] Loss_D: -0.021568 Loss_G: 0.017895 Loss_D_real: -0.017427 Loss_D_fake 0.004142
[1092/5000][190/535][112587] Loss_D: -0.019139 Loss_G: 0.031610 Loss_D_real: -0.033743 Loss_D_fake -0.014604
[1092/5000][195/535][112588] Loss_D: -0.020150 Loss_G: 0.011083 Loss_D_real: -0.021089 Loss_D_fake -0.000938
[1092/5000][200/535][112589] Loss_D: -0.021729 Loss_G: -0.010922 Loss_D_real: 0.000463 Loss_D_fake 0.022192
[1092/5000][205/535][112590] Loss_D: -0.021047 Loss_G: 0.010930 Loss_D_real: -0.021777 Loss_D_fake -0.000729
[1092/5000][210/535][112591] Loss_D: -0.021033 Loss_G: 0.019053 Loss_D_real: -0.027937 Loss_D_fake -0.006904
[1092/5000][215/535][112592] Loss_D: -0.020474 Loss_G: -0.010953 Loss_D_real: -0.011401 Loss_D_fake 0.009073
[1092/5000][220/535][112593] Loss_D: -0.022184 Loss_G: 0.020189 Loss_D_real: -0.022124 Loss_D_fake 0.000060
[1092/5000][225/535][112594] Loss_D: -0.022856 Loss_G: 0.013932 Loss_D_real: -0.016321 Loss_D_fake 0.006535
[1092/5000][230/535][112595] Loss_D: -0.021445 Loss_G: 0.019934 Loss_D_real: -0.016847 Loss_D_fake 0.004598
[1092/5000][235/535][112596] Loss_D: -0.021223 Loss_G: 0.020246 Loss_D_real: -0.031678 Loss_D_fake -0.010456
[1092/5000][240/535][112597] Loss_D: -0.020954 Loss_G: 0.022637 Loss_D_real: -0.030270 Loss_D_fake -0.009316
[1092/5000][245/535][112598] Loss_D: -0.022064 Loss_G: 0.011358 Loss_D_real: -0.018261 Loss_D_fake 0.003803
[1092/5000][250/535][112599] Loss_D: -0.021715 Loss_G: 0.001143 Loss_D_real: -0.008948 Loss_D_fake 0.012768
[1092/5000][255/535][112600] Loss_D: -0.022632 Loss_G: -0.014439 Loss_D_real: -0.019540 Loss_D_fake 0.003092
[1092/5000][260/535][112601] Loss_D: -0.020926 Loss_G: 0.008905 Loss_D_real: -0.017262 Loss_D_fake 0.003664
[1092/5000][265/535][112602] Loss_D: -0.021132 Loss_G: 0.002338 Loss_D_real: -0.006005 Loss_D_fake 0.015128
[1092/5000][270/535][112603] Loss_D: -0.021787 Loss_G: 0.011283 Loss_D_real: -0.019336 Loss_D_fake 0.002451
[1092/5000][275/535][112604] Loss_D: -0.020627 Loss_G: -0.010444 Loss_D_real: 0.002764 Loss_D_fake 0.023391
[1092/5000][280/535][112605] Loss_D: -0.021183 Loss_G: -0.012057 Loss_D_real: 0.003937 Loss_D_fake 0.025120
[1092/5000][285/535][112606] Loss_D: -0.022174 Loss_G: -0.001197 Loss_D_real: -0.029139 Loss_D_fake -0.006965
[1092/5000][290/535][112607] Loss_D: -0.021388 Loss_G: 0.024612 Loss_D_real: -0.028860 Loss_D_fake -0.007472
[1092/5000][295/535][112608] Loss_D: -0.022331 Loss_G: -0.009497 Loss_D_real: -0.015134 Loss_D_fake 0.007197
[1092/5000][300/535][112609] Loss_D: -0.022587 Loss_G: 0.016904 Loss_D_real: -0.017499 Loss_D_fake 0.005087
[1092/5000][305/535][112610] Loss_D: -0.022886 Loss_G: 0.011503 Loss_D_real: -0.016219 Loss_D_fake 0.006667
[1092/5000][310/535][112611] Loss_D: -0.018757 Loss_G: 0.021389 Loss_D_real: -0.039516 Loss_D_fake -0.020759
[1092/5000][315/535][112612] Loss_D: -0.020829 Loss_G: -0.018175 Loss_D_real: -0.010950 Loss_D_fake 0.009878
[1092/5000][320/535][112613] Loss_D: -0.020899 Loss_G: 0.006527 Loss_D_real: -0.022938 Loss_D_fake -0.002040
[1092/5000][325/535][112614] Loss_D: -0.021152 Loss_G: -0.002383 Loss_D_real: -0.013420 Loss_D_fake 0.007733
[1092/5000][330/535][112615] Loss_D: -0.019225 Loss_G: 0.026817 Loss_D_real: -0.033270 Loss_D_fake -0.014045
[1092/5000][335/535][112616] Loss_D: -0.020484 Loss_G: 0.000474 Loss_D_real: -0.006964 Loss_D_fake 0.013520
[1092/5000][340/535][112617] Loss_D: -0.021571 Loss_G: 0.021842 Loss_D_real: -0.020629 Loss_D_fake 0.000942
[1092/5000][345/535][112618] Loss_D: -0.020009 Loss_G: 0.025096 Loss_D_real: -0.028769 Loss_D_fake -0.008761
[1092/5000][350/535][112619] Loss_D: -0.021636 Loss_G: -0.002563 Loss_D_real: -0.008036 Loss_D_fake 0.013601
[1092/5000][355/535][112620] Loss_D: -0.021624 Loss_G: 0.016541 Loss_D_real: -0.030695 Loss_D_fake -0.009071
[1092/5000][360/535][112621] Loss_D: -0.022030 Loss_G: 0.010616 Loss_D_real: -0.015286 Loss_D_fake 0.006744
[1092/5000][365/535][112622] Loss_D: -0.023115 Loss_G: 0.002698 Loss_D_real: -0.008248 Loss_D_fake 0.014866
[1092/5000][370/535][112623] Loss_D: -0.022018 Loss_G: -0.002435 Loss_D_real: -0.024724 Loss_D_fake -0.002706
[1092/5000][375/535][112624] Loss_D: -0.022227 Loss_G: 0.012575 Loss_D_real: -0.016680 Loss_D_fake 0.005547
[1092/5000][380/535][112625] Loss_D: -0.022769 Loss_G: 0.018076 Loss_D_real: -0.020009 Loss_D_fake 0.002760
[1092/5000][385/535][112626] Loss_D: -0.021245 Loss_G: -0.021461 Loss_D_real: 0.003408 Loss_D_fake 0.024653
[1092/5000][390/535][112627] Loss_D: -0.021451 Loss_G: 0.023755 Loss_D_real: -0.023562 Loss_D_fake -0.002111
[1092/5000][395/535][112628] Loss_D: -0.022221 Loss_G: 0.005352 Loss_D_real: -0.021668 Loss_D_fake 0.000554
[1092/5000][400/535][112629] Loss_D: -0.021186 Loss_G: 0.002623 Loss_D_real: -0.015052 Loss_D_fake 0.006134
[1092/5000][405/535][112630] Loss_D: -0.022348 Loss_G: 0.011009 Loss_D_real: -0.020111 Loss_D_fake 0.002237
[1092/5000][410/535][112631] Loss_D: -0.021335 Loss_G: 0.002813 Loss_D_real: -0.016675 Loss_D_fake 0.004660
[1092/5000][415/535][112632] Loss_D: -0.021628 Loss_G: 0.017066 Loss_D_real: -0.033814 Loss_D_fake -0.012186
[1092/5000][420/535][112633] Loss_D: -0.021564 Loss_G: 0.018572 Loss_D_real: -0.015548 Loss_D_fake 0.006016
[1092/5000][425/535][112634] Loss_D: -0.022136 Loss_G: -0.000798 Loss_D_real: -0.010974 Loss_D_fake 0.011162
[1092/5000][430/535][112635] Loss_D: -0.021645 Loss_G: 0.004610 Loss_D_real: -0.013759 Loss_D_fake 0.007886
[1092/5000][435/535][112636] Loss_D: -0.021608 Loss_G: 0.008612 Loss_D_real: -0.016417 Loss_D_fake 0.005191
[1092/5000][440/535][112637] Loss_D: -0.022073 Loss_G: -0.001271 Loss_D_real: 0.002153 Loss_D_fake 0.024226
[1092/5000][445/535][112638] Loss_D: -0.021556 Loss_G: 0.014579 Loss_D_real: -0.026902 Loss_D_fake -0.005346
[1092/5000][450/535][112639] Loss_D: -0.022074 Loss_G: 0.006725 Loss_D_real: -0.019780 Loss_D_fake 0.002294
[1092/5000][455/535][112640] Loss_D: -0.023699 Loss_G: 0.008082 Loss_D_real: -0.011413 Loss_D_fake 0.012286
[1092/5000][460/535][112641] Loss_D: -0.021612 Loss_G: -0.002813 Loss_D_real: -0.008331 Loss_D_fake 0.013281
[1092/5000][465/535][112642] Loss_D: -0.022111 Loss_G: 0.003402 Loss_D_real: -0.018020 Loss_D_fake 0.004091
[1092/5000][470/535][112643] Loss_D: -0.022459 Loss_G: 0.001587 Loss_D_real: -0.012456 Loss_D_fake 0.010003
[1092/5000][475/535][112644] Loss_D: -0.022233 Loss_G: 0.004828 Loss_D_real: -0.022175 Loss_D_fake 0.000057
[1092/5000][480/535][112645] Loss_D: -0.021659 Loss_G: 0.026054 Loss_D_real: -0.015636 Loss_D_fake 0.006023
[1092/5000][485/535][112646] Loss_D: -0.022527 Loss_G: -0.001531 Loss_D_real: -0.015133 Loss_D_fake 0.007394
[1092/5000][490/535][112647] Loss_D: -0.021804 Loss_G: 0.018805 Loss_D_real: -0.031162 Loss_D_fake -0.009358
[1092/5000][495/535][112648] Loss_D: -0.021985 Loss_G: 0.006295 Loss_D_real: -0.026913 Loss_D_fake -0.004928
[1092/5000][500/535][112649] Loss_D: -0.022124 Loss_G: 0.005756 Loss_D_real: -0.008208 Loss_D_fake 0.013916
[1092/5000][505/535][112650] Loss_D: -0.021801 Loss_G: 0.015235 Loss_D_real: -0.020837 Loss_D_fake 0.000964
[1092/5000][510/535][112651] Loss_D: -0.022602 Loss_G: -0.006102 Loss_D_real: -0.005146 Loss_D_fake 0.017456
[1092/5000][515/535][112652] Loss_D: -0.021472 Loss_G: 0.027744 Loss_D_real: -0.033601 Loss_D_fake -0.012129
[1092/5000][520/535][112653] Loss_D: -0.022258 Loss_G: 0.004289 Loss_D_real: -0.010145 Loss_D_fake 0.012113
[1092/5000][525/535][112654] Loss_D: -0.019391 Loss_G: 0.034866 Loss_D_real: -0.035534 Loss_D_fake -0.016142
[1092/5000][530/535][112655] Loss_D: -0.021828 Loss_G: 0.002693 Loss_D_real: -0.020104 Loss_D_fake 0.001724
[1092/5000][535/535][112656] Loss_D: -0.022008 Loss_G: -0.006450 Loss_D_real: -0.007718 Loss_D_fake 0.014291
[1093/5000][5/535][112657] Loss_D: -0.021616 Loss_G: -0.010723 Loss_D_real: -0.010791 Loss_D_fake 0.010825
[1093/5000][10/535][112658] Loss_D: -0.021308 Loss_G: 0.008146 Loss_D_real: -0.018212 Loss_D_fake 0.003096
[1093/5000][15/535][112659] Loss_D: -0.020968 Loss_G: 0.011017 Loss_D_real: -0.023029 Loss_D_fake -0.002061
[1093/5000][20/535][112660] Loss_D: -0.022422 Loss_G: 0.018330 Loss_D_real: -0.020779 Loss_D_fake 0.001643
[1093/5000][25/535][112661] Loss_D: -0.021441 Loss_G: -0.007197 Loss_D_real: 0.000295 Loss_D_fake 0.021736
[1093/5000][30/535][112662] Loss_D: -0.021209 Loss_G: 0.014557 Loss_D_real: -0.024695 Loss_D_fake -0.003486
[1093/5000][35/535][112663] Loss_D: -0.021263 Loss_G: 0.017886 Loss_D_real: -0.021644 Loss_D_fake -0.000381
[1093/5000][40/535][112664] Loss_D: -0.021236 Loss_G: 0.009464 Loss_D_real: -0.028979 Loss_D_fake -0.007744
[1093/5000][45/535][112665] Loss_D: -0.022313 Loss_G: 0.013877 Loss_D_real: -0.022897 Loss_D_fake -0.000585
[1093/5000][50/535][112666] Loss_D: -0.022131 Loss_G: 0.015351 Loss_D_real: -0.031437 Loss_D_fake -0.009305
[1093/5000][55/535][112667] Loss_D: -0.021140 Loss_G: -0.010507 Loss_D_real: -0.005830 Loss_D_fake 0.015310
[1093/5000][60/535][112668] Loss_D: -0.019654 Loss_G: 0.038028 Loss_D_real: -0.030766 Loss_D_fake -0.011112
[1093/5000][65/535][112669] Loss_D: -0.021047 Loss_G: -0.002378 Loss_D_real: -0.012433 Loss_D_fake 0.008614
[1093/5000][70/535][112670] Loss_D: -0.022085 Loss_G: 0.013121 Loss_D_real: -0.025525 Loss_D_fake -0.003440
[1093/5000][75/535][112671] Loss_D: -0.022326 Loss_G: 0.007750 Loss_D_real: -0.016193 Loss_D_fake 0.006132
[1093/5000][80/535][112672] Loss_D: -0.020483 Loss_G: 0.019843 Loss_D_real: -0.021524 Loss_D_fake -0.001042
[1093/5000][85/535][112673] Loss_D: -0.022502 Loss_G: 0.003959 Loss_D_real: -0.007316 Loss_D_fake 0.015186
[1093/5000][90/535][112674] Loss_D: -0.021228 Loss_G: -0.012647 Loss_D_real: -0.003826 Loss_D_fake 0.017402
[1093/5000][95/535][112675] Loss_D: -0.022653 Loss_G: -0.003672 Loss_D_real: -0.004943 Loss_D_fake 0.017710
[1093/5000][100/535][112676] Loss_D: -0.021768 Loss_G: 0.009201 Loss_D_real: -0.014315 Loss_D_fake 0.007453
[1093/5000][105/535][112677] Loss_D: -0.021437 Loss_G: 0.022682 Loss_D_real: -0.036793 Loss_D_fake -0.015356
[1093/5000][110/535][112678] Loss_D: -0.021850 Loss_G: 0.011848 Loss_D_real: -0.009204 Loss_D_fake 0.012646
[1093/5000][115/535][112679] Loss_D: -0.021043 Loss_G: 0.015457 Loss_D_real: -0.026756 Loss_D_fake -0.005714
[1093/5000][120/535][112680] Loss_D: -0.020502 Loss_G: -0.007553 Loss_D_real: -0.002330 Loss_D_fake 0.018173
[1093/5000][125/535][112681] Loss_D: -0.022945 Loss_G: 0.000657 Loss_D_real: -0.022508 Loss_D_fake 0.000437
[1093/5000][130/535][112682] Loss_D: -0.020928 Loss_G: -0.013739 Loss_D_real: 0.000936 Loss_D_fake 0.021863
[1093/5000][135/535][112683] Loss_D: -0.020615 Loss_G: 0.009648 Loss_D_real: -0.027738 Loss_D_fake -0.007122
[1093/5000][140/535][112684] Loss_D: -0.020776 Loss_G: -0.012465 Loss_D_real: -0.003730 Loss_D_fake 0.017046
[1093/5000][145/535][112685] Loss_D: -0.021070 Loss_G: 0.019576 Loss_D_real: -0.021124 Loss_D_fake -0.000054
[1093/5000][150/535][112686] Loss_D: -0.022672 Loss_G: 0.018415 Loss_D_real: -0.022582 Loss_D_fake 0.000091
[1093/5000][155/535][112687] Loss_D: -0.021498 Loss_G: -0.010701 Loss_D_real: -0.000137 Loss_D_fake 0.021361
[1093/5000][160/535][112688] Loss_D: -0.020343 Loss_G: 0.003252 Loss_D_real: -0.019389 Loss_D_fake 0.000954
[1093/5000][165/535][112689] Loss_D: -0.022833 Loss_G: 0.007284 Loss_D_real: 0.002876 Loss_D_fake 0.025709
[1093/5000][170/535][112690] Loss_D: -0.020866 Loss_G: 0.005402 Loss_D_real: -0.017955 Loss_D_fake 0.002911
[1093/5000][175/535][112691] Loss_D: -0.022334 Loss_G: 0.004097 Loss_D_real: -0.000501 Loss_D_fake 0.021833
[1093/5000][180/535][112692] Loss_D: -0.021078 Loss_G: 0.013508 Loss_D_real: -0.038222 Loss_D_fake -0.017144
[1093/5000][185/535][112693] Loss_D: -0.021411 Loss_G: 0.020726 Loss_D_real: -0.023857 Loss_D_fake -0.002446
[1093/5000][190/535][112694] Loss_D: -0.020564 Loss_G: 0.013100 Loss_D_real: -0.015710 Loss_D_fake 0.004854
[1093/5000][195/535][112695] Loss_D: -0.021808 Loss_G: 0.002405 Loss_D_real: -0.008628 Loss_D_fake 0.013180
[1093/5000][200/535][112696] Loss_D: -0.020437 Loss_G: -0.012969 Loss_D_real: 0.005209 Loss_D_fake 0.025646
[1093/5000][205/535][112697] Loss_D: -0.019685 Loss_G: 0.024224 Loss_D_real: -0.032962 Loss_D_fake -0.013277
[1093/5000][210/535][112698] Loss_D: -0.020796 Loss_G: 0.003214 Loss_D_real: -0.019186 Loss_D_fake 0.001610
[1093/5000][215/535][112699] Loss_D: -0.022188 Loss_G: 0.013823 Loss_D_real: -0.025820 Loss_D_fake -0.003632
[1093/5000][220/535][112700] Loss_D: -0.022406 Loss_G: 0.012802 Loss_D_real: -0.014622 Loss_D_fake 0.007784
[1093/5000][225/535][112701] Loss_D: -0.021942 Loss_G: 0.005796 Loss_D_real: -0.015152 Loss_D_fake 0.006789
[1093/5000][230/535][112702] Loss_D: -0.022369 Loss_G: -0.000746 Loss_D_real: -0.023596 Loss_D_fake -0.001227
[1093/5000][235/535][112703] Loss_D: -0.021185 Loss_G: 0.015615 Loss_D_real: -0.018931 Loss_D_fake 0.002254
[1093/5000][240/535][112704] Loss_D: -0.020083 Loss_G: 0.005206 Loss_D_real: -0.006412 Loss_D_fake 0.013671
[1093/5000][245/535][112705] Loss_D: -0.021019 Loss_G: 0.025436 Loss_D_real: -0.027629 Loss_D_fake -0.006610
[1093/5000][250/535][112706] Loss_D: -0.021276 Loss_G: 0.014043 Loss_D_real: -0.026459 Loss_D_fake -0.005183
[1093/5000][255/535][112707] Loss_D: -0.022496 Loss_G: 0.006763 Loss_D_real: -0.011324 Loss_D_fake 0.011172
[1093/5000][260/535][112708] Loss_D: -0.021874 Loss_G: 0.004150 Loss_D_real: -0.012018 Loss_D_fake 0.009856
[1093/5000][265/535][112709] Loss_D: -0.021399 Loss_G: 0.002998 Loss_D_real: -0.011661 Loss_D_fake 0.009738
[1093/5000][270/535][112710] Loss_D: -0.021782 Loss_G: 0.018686 Loss_D_real: -0.028184 Loss_D_fake -0.006402
[1093/5000][275/535][112711] Loss_D: -0.022810 Loss_G: -0.016227 Loss_D_real: -0.008183 Loss_D_fake 0.014627
[1093/5000][280/535][112712] Loss_D: -0.023430 Loss_G: -0.002580 Loss_D_real: -0.025515 Loss_D_fake -0.002084
[1093/5000][285/535][112713] Loss_D: -0.022077 Loss_G: 0.001795 Loss_D_real: -0.015515 Loss_D_fake 0.006562
[1093/5000][290/535][112714] Loss_D: -0.020566 Loss_G: -0.011147 Loss_D_real: 0.001389 Loss_D_fake 0.021955
[1093/5000][295/535][112715] Loss_D: -0.021195 Loss_G: -0.012755 Loss_D_real: -0.003070 Loss_D_fake 0.018125
[1093/5000][300/535][112716] Loss_D: -0.021952 Loss_G: -0.002465 Loss_D_real: -0.016691 Loss_D_fake 0.005261
[1093/5000][305/535][112717] Loss_D: -0.022146 Loss_G: 0.011806 Loss_D_real: -0.018590 Loss_D_fake 0.003556
[1093/5000][310/535][112718] Loss_D: -0.021360 Loss_G: 0.001257 Loss_D_real: -0.006276 Loss_D_fake 0.015083
[1093/5000][315/535][112719] Loss_D: -0.020991 Loss_G: 0.014738 Loss_D_real: -0.019263 Loss_D_fake 0.001728
[1093/5000][320/535][112720] Loss_D: -0.020161 Loss_G: 0.006977 Loss_D_real: -0.011324 Loss_D_fake 0.008837
[1093/5000][325/535][112721] Loss_D: -0.021156 Loss_G: 0.014827 Loss_D_real: -0.019605 Loss_D_fake 0.001551
[1093/5000][330/535][112722] Loss_D: -0.021786 Loss_G: 0.017410 Loss_D_real: -0.020025 Loss_D_fake 0.001760
[1093/5000][335/535][112723] Loss_D: -0.021580 Loss_G: 0.017159 Loss_D_real: -0.023074 Loss_D_fake -0.001495
[1093/5000][340/535][112724] Loss_D: -0.022083 Loss_G: 0.012095 Loss_D_real: -0.017848 Loss_D_fake 0.004235
[1093/5000][345/535][112725] Loss_D: -0.019539 Loss_G: 0.023131 Loss_D_real: -0.040246 Loss_D_fake -0.020708
[1093/5000][350/535][112726] Loss_D: -0.019928 Loss_G: -0.007139 Loss_D_real: -0.002768 Loss_D_fake 0.017160
[1093/5000][355/535][112727] Loss_D: -0.021573 Loss_G: 0.005663 Loss_D_real: -0.019396 Loss_D_fake 0.002177
[1093/5000][360/535][112728] Loss_D: -0.022075 Loss_G: 0.002765 Loss_D_real: -0.014693 Loss_D_fake 0.007382
[1093/5000][365/535][112729] Loss_D: -0.022470 Loss_G: -0.001658 Loss_D_real: -0.021278 Loss_D_fake 0.001192
[1093/5000][370/535][112730] Loss_D: -0.021962 Loss_G: 0.019556 Loss_D_real: -0.030192 Loss_D_fake -0.008230
[1093/5000][375/535][112731] Loss_D: -0.023319 Loss_G: 0.017524 Loss_D_real: -0.021672 Loss_D_fake 0.001648
[1093/5000][380/535][112732] Loss_D: -0.022369 Loss_G: 0.003896 Loss_D_real: -0.021137 Loss_D_fake 0.001233
[1093/5000][385/535][112733] Loss_D: -0.022143 Loss_G: 0.015339 Loss_D_real: -0.025324 Loss_D_fake -0.003180
[1093/5000][390/535][112734] Loss_D: -0.020854 Loss_G: -0.003823 Loss_D_real: -0.012561 Loss_D_fake 0.008293
[1093/5000][395/535][112735] Loss_D: -0.021753 Loss_G: -0.011399 Loss_D_real: -0.014621 Loss_D_fake 0.007132
[1093/5000][400/535][112736] Loss_D: -0.021689 Loss_G: 0.012540 Loss_D_real: -0.024703 Loss_D_fake -0.003015
[1093/5000][405/535][112737] Loss_D: -0.021700 Loss_G: 0.001912 Loss_D_real: -0.022704 Loss_D_fake -0.001003
[1093/5000][410/535][112738] Loss_D: -0.020073 Loss_G: 0.019604 Loss_D_real: -0.035117 Loss_D_fake -0.015044
[1093/5000][415/535][112739] Loss_D: -0.022336 Loss_G: 0.010980 Loss_D_real: -0.024666 Loss_D_fake -0.002330
[1093/5000][420/535][112740] Loss_D: -0.021411 Loss_G: 0.002689 Loss_D_real: -0.013428 Loss_D_fake 0.007983
[1093/5000][425/535][112741] Loss_D: -0.021289 Loss_G: 0.020491 Loss_D_real: -0.030874 Loss_D_fake -0.009584
[1093/5000][430/535][112742] Loss_D: -0.022168 Loss_G: 0.006846 Loss_D_real: -0.018284 Loss_D_fake 0.003884
[1093/5000][435/535][112743] Loss_D: -0.020324 Loss_G: 0.022800 Loss_D_real: -0.033355 Loss_D_fake -0.013030
[1093/5000][440/535][112744] Loss_D: -0.021802 Loss_G: -0.004226 Loss_D_real: -0.004671 Loss_D_fake 0.017131
[1093/5000][445/535][112745] Loss_D: -0.021662 Loss_G: 0.011207 Loss_D_real: -0.018221 Loss_D_fake 0.003441
[1093/5000][450/535][112746] Loss_D: -0.021274 Loss_G: 0.000570 Loss_D_real: -0.019141 Loss_D_fake 0.002133
[1093/5000][455/535][112747] Loss_D: -0.020912 Loss_G: -0.012887 Loss_D_real: -0.002106 Loss_D_fake 0.018806
[1093/5000][460/535][112748] Loss_D: -0.020685 Loss_G: -0.002414 Loss_D_real: -0.017496 Loss_D_fake 0.003190
[1093/5000][465/535][112749] Loss_D: -0.022285 Loss_G: 0.004093 Loss_D_real: -0.017685 Loss_D_fake 0.004600
[1093/5000][470/535][112750] Loss_D: -0.021317 Loss_G: 0.013751 Loss_D_real: -0.026063 Loss_D_fake -0.004746
[1093/5000][475/535][112751] Loss_D: -0.020592 Loss_G: 0.008747 Loss_D_real: -0.010148 Loss_D_fake 0.010444
[1093/5000][480/535][112752] Loss_D: -0.021609 Loss_G: 0.027618 Loss_D_real: -0.029950 Loss_D_fake -0.008341
[1093/5000][485/535][112753] Loss_D: -0.020787 Loss_G: 0.001250 Loss_D_real: -0.020334 Loss_D_fake 0.000453
[1093/5000][490/535][112754] Loss_D: -0.021543 Loss_G: 0.013466 Loss_D_real: -0.018155 Loss_D_fake 0.003388
[1093/5000][495/535][112755] Loss_D: -0.021514 Loss_G: 0.018016 Loss_D_real: -0.025631 Loss_D_fake -0.004117
[1093/5000][500/535][112756] Loss_D: -0.020730 Loss_G: -0.016400 Loss_D_real: 0.003961 Loss_D_fake 0.024691
[1093/5000][505/535][112757] Loss_D: -0.022191 Loss_G: 0.017431 Loss_D_real: -0.025702 Loss_D_fake -0.003512
[1093/5000][510/535][112758] Loss_D: -0.021105 Loss_G: -0.002061 Loss_D_real: -0.017742 Loss_D_fake 0.003363
[1093/5000][515/535][112759] Loss_D: -0.021817 Loss_G: 0.015342 Loss_D_real: -0.027558 Loss_D_fake -0.005742
[1093/5000][520/535][112760] Loss_D: -0.022384 Loss_G: 0.010985 Loss_D_real: -0.021307 Loss_D_fake 0.001077
[1093/5000][525/535][112761] Loss_D: -0.019772 Loss_G: 0.032359 Loss_D_real: -0.024534 Loss_D_fake -0.004762
[1093/5000][530/535][112762] Loss_D: -0.020554 Loss_G: 0.007413 Loss_D_real: -0.029573 Loss_D_fake -0.009019
[1093/5000][535/535][112763] Loss_D: -0.020757 Loss_G: 0.029243 Loss_D_real: -0.023697 Loss_D_fake -0.002941
[1094/5000][5/535][112764] Loss_D: -0.020755 Loss_G: 0.022102 Loss_D_real: -0.020626 Loss_D_fake 0.000129
[1094/5000][10/535][112765] Loss_D: -0.022629 Loss_G: -0.006824 Loss_D_real: -0.012747 Loss_D_fake 0.009882
[1094/5000][15/535][112766] Loss_D: -0.022052 Loss_G: 0.007303 Loss_D_real: -0.018954 Loss_D_fake 0.003098
[1094/5000][20/535][112767] Loss_D: -0.021782 Loss_G: 0.007594 Loss_D_real: -0.023328 Loss_D_fake -0.001545
[1094/5000][25/535][112768] Loss_D: -0.021923 Loss_G: 0.009084 Loss_D_real: -0.022148 Loss_D_fake -0.000225
[1094/5000][30/535][112769] Loss_D: -0.021426 Loss_G: -0.008417 Loss_D_real: -0.017026 Loss_D_fake 0.004400
[1094/5000][35/535][112770] Loss_D: -0.022876 Loss_G: 0.015693 Loss_D_real: -0.016824 Loss_D_fake 0.006052
[1094/5000][40/535][112771] Loss_D: -0.021913 Loss_G: 0.010631 Loss_D_real: -0.013743 Loss_D_fake 0.008170
[1094/5000][45/535][112772] Loss_D: -0.021239 Loss_G: 0.014550 Loss_D_real: -0.030169 Loss_D_fake -0.008930
[1094/5000][50/535][112773] Loss_D: -0.022137 Loss_G: 0.003439 Loss_D_real: -0.019264 Loss_D_fake 0.002873
[1094/5000][55/535][112774] Loss_D: -0.019706 Loss_G: 0.015133 Loss_D_real: -0.026206 Loss_D_fake -0.006501
[1094/5000][60/535][112775] Loss_D: -0.022694 Loss_G: 0.006978 Loss_D_real: -0.016949 Loss_D_fake 0.005745
[1094/5000][65/535][112776] Loss_D: -0.022469 Loss_G: 0.023952 Loss_D_real: -0.022524 Loss_D_fake -0.000055
[1094/5000][70/535][112777] Loss_D: -0.019445 Loss_G: -0.015633 Loss_D_real: -0.010353 Loss_D_fake 0.009092
[1094/5000][75/535][112778] Loss_D: -0.021830 Loss_G: 0.020529 Loss_D_real: -0.025612 Loss_D_fake -0.003782
[1094/5000][80/535][112779] Loss_D: -0.022182 Loss_G: -0.002632 Loss_D_real: -0.003144 Loss_D_fake 0.019039
[1094/5000][85/535][112780] Loss_D: -0.020979 Loss_G: 0.024047 Loss_D_real: -0.031504 Loss_D_fake -0.010525
[1094/5000][90/535][112781] Loss_D: -0.021505 Loss_G: -0.009554 Loss_D_real: -0.011360 Loss_D_fake 0.010145
[1094/5000][95/535][112782] Loss_D: -0.020021 Loss_G: 0.032111 Loss_D_real: -0.027494 Loss_D_fake -0.007473
[1094/5000][100/535][112783] Loss_D: -0.020940 Loss_G: -0.000777 Loss_D_real: -0.007074 Loss_D_fake 0.013866
[1094/5000][105/535][112784] Loss_D: -0.021430 Loss_G: 0.004607 Loss_D_real: 0.000204 Loss_D_fake 0.021634
[1094/5000][110/535][112785] Loss_D: -0.018997 Loss_G: 0.031870 Loss_D_real: -0.035952 Loss_D_fake -0.016954
[1094/5000][115/535][112786] Loss_D: -0.020887 Loss_G: 0.017761 Loss_D_real: -0.023699 Loss_D_fake -0.002812
[1094/5000][120/535][112787] Loss_D: -0.020431 Loss_G: -0.006776 Loss_D_real: -0.007655 Loss_D_fake 0.012776
[1094/5000][125/535][112788] Loss_D: -0.022495 Loss_G: -0.008715 Loss_D_real: -0.009466 Loss_D_fake 0.013029
[1094/5000][130/535][112789] Loss_D: -0.021333 Loss_G: 0.020384 Loss_D_real: -0.017501 Loss_D_fake 0.003832
[1094/5000][135/535][112790] Loss_D: -0.021151 Loss_G: 0.005217 Loss_D_real: -0.009346 Loss_D_fake 0.011805
[1094/5000][140/535][112791] Loss_D: -0.022026 Loss_G: 0.000406 Loss_D_real: -0.011537 Loss_D_fake 0.010489
[1094/5000][145/535][112792] Loss_D: -0.021854 Loss_G: 0.015527 Loss_D_real: -0.028568 Loss_D_fake -0.006714
[1094/5000][150/535][112793] Loss_D: -0.020679 Loss_G: -0.005798 Loss_D_real: -0.012378 Loss_D_fake 0.008301
[1094/5000][155/535][112794] Loss_D: -0.019694 Loss_G: -0.012339 Loss_D_real: -0.011327 Loss_D_fake 0.008367
[1094/5000][160/535][112795] Loss_D: -0.021019 Loss_G: 0.013788 Loss_D_real: -0.028207 Loss_D_fake -0.007189
[1094/5000][165/535][112796] Loss_D: -0.021725 Loss_G: 0.015261 Loss_D_real: -0.019791 Loss_D_fake 0.001934
[1094/5000][170/535][112797] Loss_D: -0.021412 Loss_G: 0.020723 Loss_D_real: -0.026377 Loss_D_fake -0.004965
[1094/5000][175/535][112798] Loss_D: -0.021747 Loss_G: 0.000977 Loss_D_real: -0.010558 Loss_D_fake 0.011189
[1094/5000][180/535][112799] Loss_D: -0.021204 Loss_G: 0.012703 Loss_D_real: -0.016796 Loss_D_fake 0.004407
[1094/5000][185/535][112800] Loss_D: -0.021263 Loss_G: -0.002319 Loss_D_real: 0.003230 Loss_D_fake 0.024494
[1094/5000][190/535][112801] Loss_D: -0.022490 Loss_G: 0.002999 Loss_D_real: -0.008481 Loss_D_fake 0.014009
[1094/5000][195/535][112802] Loss_D: -0.021545 Loss_G: 0.013329 Loss_D_real: -0.018754 Loss_D_fake 0.002791
[1094/5000][200/535][112803] Loss_D: -0.021696 Loss_G: 0.003538 Loss_D_real: -0.023473 Loss_D_fake -0.001777
[1094/5000][205/535][112804] Loss_D: -0.022111 Loss_G: 0.009524 Loss_D_real: -0.010164 Loss_D_fake 0.011947
[1094/5000][210/535][112805] Loss_D: -0.021647 Loss_G: 0.011661 Loss_D_real: -0.019505 Loss_D_fake 0.002143
[1094/5000][215/535][112806] Loss_D: -0.020555 Loss_G: -0.009380 Loss_D_real: -0.001459 Loss_D_fake 0.019096
[1094/5000][220/535][112807] Loss_D: -0.022501 Loss_G: 0.018288 Loss_D_real: -0.018219 Loss_D_fake 0.004283
[1094/5000][225/535][112808] Loss_D: -0.020559 Loss_G: 0.018308 Loss_D_real: -0.025798 Loss_D_fake -0.005239
[1094/5000][230/535][112809] Loss_D: -0.022474 Loss_G: 0.003469 Loss_D_real: -0.022273 Loss_D_fake 0.000201
[1094/5000][235/535][112810] Loss_D: -0.021024 Loss_G: 0.020455 Loss_D_real: -0.022904 Loss_D_fake -0.001880
[1094/5000][240/535][112811] Loss_D: -0.022055 Loss_G: 0.019000 Loss_D_real: -0.025540 Loss_D_fake -0.003485
[1094/5000][245/535][112812] Loss_D: -0.021441 Loss_G: 0.003805 Loss_D_real: -0.007543 Loss_D_fake 0.013898
[1094/5000][250/535][112813] Loss_D: -0.020670 Loss_G: 0.016094 Loss_D_real: -0.028561 Loss_D_fake -0.007891
[1094/5000][255/535][112814] Loss_D: -0.021947 Loss_G: -0.005846 Loss_D_real: -0.003634 Loss_D_fake 0.018313
[1094/5000][260/535][112815] Loss_D: -0.022345 Loss_G: 0.026612 Loss_D_real: -0.027254 Loss_D_fake -0.004909
[1094/5000][265/535][112816] Loss_D: -0.021739 Loss_G: -0.008337 Loss_D_real: -0.014684 Loss_D_fake 0.007055
[1094/5000][270/535][112817] Loss_D: -0.021316 Loss_G: 0.003068 Loss_D_real: -0.013943 Loss_D_fake 0.007373
[1094/5000][275/535][112818] Loss_D: -0.022526 Loss_G: 0.004861 Loss_D_real: -0.014698 Loss_D_fake 0.007827
[1094/5000][280/535][112819] Loss_D: -0.021276 Loss_G: 0.000620 Loss_D_real: -0.009491 Loss_D_fake 0.011784
[1094/5000][285/535][112820] Loss_D: -0.022330 Loss_G: -0.006358 Loss_D_real: -0.017662 Loss_D_fake 0.004668
[1094/5000][290/535][112821] Loss_D: -0.021224 Loss_G: 0.022102 Loss_D_real: -0.022412 Loss_D_fake -0.001188
[1094/5000][295/535][112822] Loss_D: -0.022004 Loss_G: -0.008368 Loss_D_real: -0.009879 Loss_D_fake 0.012125
[1094/5000][300/535][112823] Loss_D: -0.020476 Loss_G: -0.000694 Loss_D_real: 0.000935 Loss_D_fake 0.021411
[1094/5000][305/535][112824] Loss_D: -0.022169 Loss_G: -0.002177 Loss_D_real: -0.011672 Loss_D_fake 0.010496
[1094/5000][310/535][112825] Loss_D: -0.021168 Loss_G: -0.002897 Loss_D_real: -0.004203 Loss_D_fake 0.016964
[1094/5000][315/535][112826] Loss_D: -0.021245 Loss_G: 0.028529 Loss_D_real: -0.031496 Loss_D_fake -0.010251
[1094/5000][320/535][112827] Loss_D: -0.022710 Loss_G: 0.016567 Loss_D_real: -0.018471 Loss_D_fake 0.004238
[1094/5000][325/535][112828] Loss_D: -0.021399 Loss_G: -0.012702 Loss_D_real: -0.002593 Loss_D_fake 0.018806
[1094/5000][330/535][112829] Loss_D: -0.021688 Loss_G: 0.000120 Loss_D_real: -0.020512 Loss_D_fake 0.001176
[1094/5000][335/535][112830] Loss_D: -0.022623 Loss_G: 0.010598 Loss_D_real: -0.022784 Loss_D_fake -0.000160
[1094/5000][340/535][112831] Loss_D: -0.020359 Loss_G: 0.030493 Loss_D_real: -0.022999 Loss_D_fake -0.002640
[1094/5000][345/535][112832] Loss_D: -0.022470 Loss_G: 0.014679 Loss_D_real: -0.024263 Loss_D_fake -0.001793
[1094/5000][350/535][112833] Loss_D: -0.021942 Loss_G: 0.019522 Loss_D_real: -0.035051 Loss_D_fake -0.013109
[1094/5000][355/535][112834] Loss_D: -0.021021 Loss_G: -0.017299 Loss_D_real: 0.007493 Loss_D_fake 0.028515
[1094/5000][360/535][112835] Loss_D: -0.021844 Loss_G: 0.012345 Loss_D_real: -0.020185 Loss_D_fake 0.001660
[1094/5000][365/535][112836] Loss_D: -0.021963 Loss_G: -0.005610 Loss_D_real: -0.004438 Loss_D_fake 0.017526
[1094/5000][370/535][112837] Loss_D: -0.021166 Loss_G: 0.012263 Loss_D_real: -0.016061 Loss_D_fake 0.005105
[1094/5000][375/535][112838] Loss_D: -0.021730 Loss_G: 0.013213 Loss_D_real: -0.026479 Loss_D_fake -0.004749
[1094/5000][380/535][112839] Loss_D: -0.023160 Loss_G: 0.007963 Loss_D_real: -0.019798 Loss_D_fake 0.003362
[1094/5000][385/535][112840] Loss_D: -0.022164 Loss_G: 0.009863 Loss_D_real: -0.017308 Loss_D_fake 0.004857
[1094/5000][390/535][112841] Loss_D: -0.022524 Loss_G: -0.002933 Loss_D_real: -0.004336 Loss_D_fake 0.018188
[1094/5000][395/535][112842] Loss_D: -0.021841 Loss_G: 0.002835 Loss_D_real: -0.015103 Loss_D_fake 0.006737
[1094/5000][400/535][112843] Loss_D: -0.022224 Loss_G: 0.013826 Loss_D_real: -0.017181 Loss_D_fake 0.005044
[1094/5000][405/535][112844] Loss_D: -0.022254 Loss_G: 0.010891 Loss_D_real: -0.016454 Loss_D_fake 0.005800
[1094/5000][410/535][112845] Loss_D: -0.021716 Loss_G: 0.015474 Loss_D_real: -0.029001 Loss_D_fake -0.007285
[1094/5000][415/535][112846] Loss_D: -0.022267 Loss_G: 0.005832 Loss_D_real: -0.013136 Loss_D_fake 0.009131
[1094/5000][420/535][112847] Loss_D: -0.021483 Loss_G: 0.011606 Loss_D_real: -0.018030 Loss_D_fake 0.003454
[1094/5000][425/535][112848] Loss_D: -0.021945 Loss_G: 0.010718 Loss_D_real: -0.011616 Loss_D_fake 0.010329
[1094/5000][430/535][112849] Loss_D: -0.022189 Loss_G: 0.000803 Loss_D_real: -0.019691 Loss_D_fake 0.002497
[1094/5000][435/535][112850] Loss_D: -0.021997 Loss_G: 0.002127 Loss_D_real: -0.018671 Loss_D_fake 0.003326
[1094/5000][440/535][112851] Loss_D: -0.021758 Loss_G: -0.001509 Loss_D_real: -0.006378 Loss_D_fake 0.015380
[1094/5000][445/535][112852] Loss_D: -0.022194 Loss_G: -0.003549 Loss_D_real: -0.016432 Loss_D_fake 0.005762
[1094/5000][450/535][112853] Loss_D: -0.021903 Loss_G: 0.001708 Loss_D_real: -0.011410 Loss_D_fake 0.010493
[1094/5000][455/535][112854] Loss_D: -0.022310 Loss_G: 0.024894 Loss_D_real: -0.013784 Loss_D_fake 0.008526
[1094/5000][460/535][112855] Loss_D: -0.021495 Loss_G: 0.006093 Loss_D_real: -0.023298 Loss_D_fake -0.001803
[1094/5000][465/535][112856] Loss_D: -0.022267 Loss_G: 0.010363 Loss_D_real: -0.011902 Loss_D_fake 0.010365
[1094/5000][470/535][112857] Loss_D: -0.019531 Loss_G: 0.020431 Loss_D_real: -0.025975 Loss_D_fake -0.006445
[1094/5000][475/535][112858] Loss_D: -0.020963 Loss_G: -0.010853 Loss_D_real: -0.005578 Loss_D_fake 0.015384
[1094/5000][480/535][112859] Loss_D: -0.021528 Loss_G: -0.002017 Loss_D_real: -0.012679 Loss_D_fake 0.008849
[1094/5000][485/535][112860] Loss_D: -0.021098 Loss_G: 0.017718 Loss_D_real: -0.025754 Loss_D_fake -0.004655
[1094/5000][490/535][112861] Loss_D: -0.023106 Loss_G: -0.000084 Loss_D_real: -0.019463 Loss_D_fake 0.003643
[1094/5000][495/535][112862] Loss_D: -0.022381 Loss_G: -0.010068 Loss_D_real: -0.017672 Loss_D_fake 0.004709
[1094/5000][500/535][112863] Loss_D: -0.021989 Loss_G: 0.010465 Loss_D_real: -0.032169 Loss_D_fake -0.010180
[1094/5000][505/535][112864] Loss_D: -0.023061 Loss_G: 0.022142 Loss_D_real: -0.016168 Loss_D_fake 0.006894
[1094/5000][510/535][112865] Loss_D: -0.020708 Loss_G: 0.015838 Loss_D_real: -0.026317 Loss_D_fake -0.005609
[1094/5000][515/535][112866] Loss_D: -0.022039 Loss_G: 0.005558 Loss_D_real: -0.018654 Loss_D_fake 0.003385
[1094/5000][520/535][112867] Loss_D: -0.019571 Loss_G: -0.016571 Loss_D_real: -0.004356 Loss_D_fake 0.015215
[1094/5000][525/535][112868] Loss_D: -0.022722 Loss_G: 0.025229 Loss_D_real: -0.022896 Loss_D_fake -0.000174
[1094/5000][530/535][112869] Loss_D: -0.021887 Loss_G: -0.001168 Loss_D_real: -0.006151 Loss_D_fake 0.015736
[1094/5000][535/535][112870] Loss_D: -0.021432 Loss_G: 0.043550 Loss_D_real: -0.017255 Loss_D_fake 0.004177
[1095/5000][5/535][112871] Loss_D: -0.021236 Loss_G: -0.000732 Loss_D_real: -0.019656 Loss_D_fake 0.001580
[1095/5000][10/535][112872] Loss_D: -0.022376 Loss_G: 0.000415 Loss_D_real: -0.016047 Loss_D_fake 0.006329
[1095/5000][15/535][112873] Loss_D: -0.020903 Loss_G: 0.008968 Loss_D_real: -0.018763 Loss_D_fake 0.002140
[1095/5000][20/535][112874] Loss_D: -0.021840 Loss_G: 0.017109 Loss_D_real: -0.027704 Loss_D_fake -0.005864
[1095/5000][25/535][112875] Loss_D: -0.020801 Loss_G: 0.012433 Loss_D_real: -0.031114 Loss_D_fake -0.010313
[1095/5000][30/535][112876] Loss_D: -0.022902 Loss_G: -0.001878 Loss_D_real: -0.022712 Loss_D_fake 0.000190
[1095/5000][35/535][112877] Loss_D: -0.022103 Loss_G: 0.006883 Loss_D_real: -0.019485 Loss_D_fake 0.002618
[1095/5000][40/535][112878] Loss_D: -0.022200 Loss_G: 0.017053 Loss_D_real: -0.031244 Loss_D_fake -0.009044
[1095/5000][45/535][112879] Loss_D: -0.020948 Loss_G: -0.001359 Loss_D_real: -0.011350 Loss_D_fake 0.009599
[1095/5000][50/535][112880] Loss_D: -0.021345 Loss_G: 0.008890 Loss_D_real: -0.017596 Loss_D_fake 0.003750
[1095/5000][55/535][112881] Loss_D: -0.021687 Loss_G: 0.004101 Loss_D_real: -0.008878 Loss_D_fake 0.012808
[1095/5000][60/535][112882] Loss_D: -0.021226 Loss_G: -0.015460 Loss_D_real: -0.004025 Loss_D_fake 0.017201
[1095/5000][65/535][112883] Loss_D: -0.020364 Loss_G: 0.001740 Loss_D_real: -0.020237 Loss_D_fake 0.000126
[1095/5000][70/535][112884] Loss_D: -0.021457 Loss_G: 0.011707 Loss_D_real: -0.008834 Loss_D_fake 0.012623
[1095/5000][75/535][112885] Loss_D: -0.019090 Loss_G: -0.001568 Loss_D_real: -0.010938 Loss_D_fake 0.008151
[1095/5000][80/535][112886] Loss_D: -0.021490 Loss_G: -0.001620 Loss_D_real: -0.018256 Loss_D_fake 0.003234
[1095/5000][85/535][112887] Loss_D: -0.020972 Loss_G: 0.020468 Loss_D_real: -0.024868 Loss_D_fake -0.003896
[1095/5000][90/535][112888] Loss_D: -0.020252 Loss_G: -0.009224 Loss_D_real: 0.002069 Loss_D_fake 0.022321
[1095/5000][95/535][112889] Loss_D: -0.021026 Loss_G: 0.016392 Loss_D_real: -0.026197 Loss_D_fake -0.005172
[1095/5000][100/535][112890] Loss_D: -0.023486 Loss_G: -0.016491 Loss_D_real: -0.006379 Loss_D_fake 0.017107
[1095/5000][105/535][112891] Loss_D: -0.022158 Loss_G: 0.018490 Loss_D_real: -0.017240 Loss_D_fake 0.004919
[1095/5000][110/535][112892] Loss_D: -0.022835 Loss_G: 0.023999 Loss_D_real: -0.019148 Loss_D_fake 0.003687
[1095/5000][115/535][112893] Loss_D: -0.023176 Loss_G: 0.011603 Loss_D_real: -0.011375 Loss_D_fake 0.011801
[1095/5000][120/535][112894] Loss_D: -0.020981 Loss_G: 0.017773 Loss_D_real: -0.026243 Loss_D_fake -0.005262
[1095/5000][125/535][112895] Loss_D: -0.023951 Loss_G: 0.009883 Loss_D_real: -0.011945 Loss_D_fake 0.012006
[1095/5000][130/535][112896] Loss_D: -0.021222 Loss_G: 0.003464 Loss_D_real: -0.027629 Loss_D_fake -0.006407
[1095/5000][135/535][112897] Loss_D: -0.022078 Loss_G: 0.014333 Loss_D_real: -0.029207 Loss_D_fake -0.007129
[1095/5000][140/535][112898] Loss_D: -0.021516 Loss_G: 0.009546 Loss_D_real: -0.020905 Loss_D_fake 0.000611
[1095/5000][145/535][112899] Loss_D: -0.020264 Loss_G: 0.020835 Loss_D_real: -0.019200 Loss_D_fake 0.001064
[1095/5000][150/535][112900] Loss_D: -0.021308 Loss_G: 0.011310 Loss_D_real: -0.023963 Loss_D_fake -0.002654
[1095/5000][155/535][112901] Loss_D: -0.022248 Loss_G: 0.002583 Loss_D_real: -0.009890 Loss_D_fake 0.012359
[1095/5000][160/535][112902] Loss_D: -0.021670 Loss_G: -0.012280 Loss_D_real: -0.008186 Loss_D_fake 0.013484
[1095/5000][165/535][112903] Loss_D: -0.020963 Loss_G: -0.008778 Loss_D_real: -0.006782 Loss_D_fake 0.014181
[1095/5000][170/535][112904] Loss_D: -0.022299 Loss_G: 0.008536 Loss_D_real: -0.005927 Loss_D_fake 0.016372
[1095/5000][175/535][112905] Loss_D: -0.021178 Loss_G: -0.006679 Loss_D_real: 0.002154 Loss_D_fake 0.023332
[1095/5000][180/535][112906] Loss_D: -0.020963 Loss_G: 0.024067 Loss_D_real: -0.029360 Loss_D_fake -0.008397
[1095/5000][185/535][112907] Loss_D: -0.022021 Loss_G: -0.007359 Loss_D_real: 0.000758 Loss_D_fake 0.022778
[1095/5000][190/535][112908] Loss_D: -0.020810 Loss_G: 0.002408 Loss_D_real: -0.005423 Loss_D_fake 0.015387
[1095/5000][195/535][112909] Loss_D: -0.021529 Loss_G: 0.010655 Loss_D_real: -0.005861 Loss_D_fake 0.015668
[1095/5000][200/535][112910] Loss_D: -0.021260 Loss_G: 0.006934 Loss_D_real: -0.019080 Loss_D_fake 0.002181
[1095/5000][205/535][112911] Loss_D: -0.020760 Loss_G: -0.002483 Loss_D_real: -0.015036 Loss_D_fake 0.005724
[1095/5000][210/535][112912] Loss_D: -0.019667 Loss_G: -0.011640 Loss_D_real: 0.000042 Loss_D_fake 0.019709
[1095/5000][215/535][112913] Loss_D: -0.019890 Loss_G: 0.031237 Loss_D_real: -0.022997 Loss_D_fake -0.003107
[1095/5000][220/535][112914] Loss_D: -0.021153 Loss_G: 0.006201 Loss_D_real: -0.024336 Loss_D_fake -0.003183
[1095/5000][225/535][112915] Loss_D: -0.021373 Loss_G: 0.010334 Loss_D_real: -0.019128 Loss_D_fake 0.002245
[1095/5000][230/535][112916] Loss_D: -0.021062 Loss_G: 0.004826 Loss_D_real: -0.018040 Loss_D_fake 0.003021
[1095/5000][235/535][112917] Loss_D: -0.021746 Loss_G: 0.010041 Loss_D_real: -0.021323 Loss_D_fake 0.000423
[1095/5000][240/535][112918] Loss_D: -0.021422 Loss_G: 0.006569 Loss_D_real: -0.005231 Loss_D_fake 0.016191
[1095/5000][245/535][112919] Loss_D: -0.021537 Loss_G: 0.011722 Loss_D_real: -0.016750 Loss_D_fake 0.004787
[1095/5000][250/535][112920] Loss_D: -0.021874 Loss_G: 0.015148 Loss_D_real: -0.016896 Loss_D_fake 0.004978
[1095/5000][255/535][112921] Loss_D: -0.019443 Loss_G: 0.031011 Loss_D_real: -0.034180 Loss_D_fake -0.014737
[1095/5000][260/535][112922] Loss_D: -0.020501 Loss_G: 0.017852 Loss_D_real: -0.024233 Loss_D_fake -0.003732
[1095/5000][265/535][112923] Loss_D: -0.022738 Loss_G: 0.008975 Loss_D_real: -0.032671 Loss_D_fake -0.009933
[1095/5000][270/535][112924] Loss_D: -0.021390 Loss_G: 0.011690 Loss_D_real: -0.011338 Loss_D_fake 0.010051
[1095/5000][275/535][112925] Loss_D: -0.021719 Loss_G: 0.026363 Loss_D_real: -0.027650 Loss_D_fake -0.005931
[1095/5000][280/535][112926] Loss_D: -0.020048 Loss_G: 0.026947 Loss_D_real: -0.037347 Loss_D_fake -0.017299
[1095/5000][285/535][112927] Loss_D: -0.023041 Loss_G: 0.004028 Loss_D_real: -0.020919 Loss_D_fake 0.002122
[1095/5000][290/535][112928] Loss_D: -0.022079 Loss_G: 0.013501 Loss_D_real: -0.021919 Loss_D_fake 0.000161
[1095/5000][295/535][112929] Loss_D: -0.022623 Loss_G: 0.007738 Loss_D_real: -0.015096 Loss_D_fake 0.007527
[1095/5000][300/535][112930] Loss_D: -0.021484 Loss_G: -0.004733 Loss_D_real: -0.014193 Loss_D_fake 0.007291
[1095/5000][305/535][112931] Loss_D: -0.022949 Loss_G: 0.012441 Loss_D_real: -0.022338 Loss_D_fake 0.000611
[1095/5000][310/535][112932] Loss_D: -0.023067 Loss_G: 0.009443 Loss_D_real: -0.016212 Loss_D_fake 0.006855
[1095/5000][315/535][112933] Loss_D: -0.019257 Loss_G: 0.022596 Loss_D_real: -0.043869 Loss_D_fake -0.024612
[1095/5000][320/535][112934] Loss_D: -0.021370 Loss_G: 0.007698 Loss_D_real: -0.024420 Loss_D_fake -0.003051
[1095/5000][325/535][112935] Loss_D: -0.020562 Loss_G: 0.019984 Loss_D_real: -0.019322 Loss_D_fake 0.001240
[1095/5000][330/535][112936] Loss_D: -0.021906 Loss_G: 0.002615 Loss_D_real: -0.024583 Loss_D_fake -0.002677
[1095/5000][335/535][112937] Loss_D: -0.022226 Loss_G: 0.006654 Loss_D_real: -0.019254 Loss_D_fake 0.002972
[1095/5000][340/535][112938] Loss_D: -0.020779 Loss_G: 0.020600 Loss_D_real: -0.024070 Loss_D_fake -0.003292
[1095/5000][345/535][112939] Loss_D: -0.022646 Loss_G: -0.010333 Loss_D_real: -0.016982 Loss_D_fake 0.005664
[1095/5000][350/535][112940] Loss_D: -0.021190 Loss_G: 0.026440 Loss_D_real: -0.027127 Loss_D_fake -0.005937
[1095/5000][355/535][112941] Loss_D: -0.021349 Loss_G: 0.009287 Loss_D_real: -0.016855 Loss_D_fake 0.004495
[1095/5000][360/535][112942] Loss_D: -0.021456 Loss_G: 0.019780 Loss_D_real: -0.029541 Loss_D_fake -0.008086
[1095/5000][365/535][112943] Loss_D: -0.021128 Loss_G: 0.011889 Loss_D_real: -0.032231 Loss_D_fake -0.011103
[1095/5000][370/535][112944] Loss_D: -0.021859 Loss_G: -0.002154 Loss_D_real: -0.012657 Loss_D_fake 0.009202
[1095/5000][375/535][112945] Loss_D: -0.021862 Loss_G: -0.000427 Loss_D_real: -0.009149 Loss_D_fake 0.012713
[1095/5000][380/535][112946] Loss_D: -0.019024 Loss_G: 0.010484 Loss_D_real: -0.029136 Loss_D_fake -0.010112
[1095/5000][385/535][112947] Loss_D: -0.021258 Loss_G: -0.015028 Loss_D_real: 0.007105 Loss_D_fake 0.028363
[1095/5000][390/535][112948] Loss_D: -0.020880 Loss_G: 0.023556 Loss_D_real: -0.034881 Loss_D_fake -0.014001
[1095/5000][395/535][112949] Loss_D: -0.022336 Loss_G: -0.005686 Loss_D_real: -0.014518 Loss_D_fake 0.007818
[1095/5000][400/535][112950] Loss_D: -0.022223 Loss_G: -0.000867 Loss_D_real: -0.011703 Loss_D_fake 0.010521
[1095/5000][405/535][112951] Loss_D: -0.021502 Loss_G: 0.021498 Loss_D_real: -0.028039 Loss_D_fake -0.006537
[1095/5000][410/535][112952] Loss_D: -0.023063 Loss_G: 0.021817 Loss_D_real: -0.021008 Loss_D_fake 0.002054
[1095/5000][415/535][112953] Loss_D: -0.022277 Loss_G: 0.012573 Loss_D_real: -0.026639 Loss_D_fake -0.004362
[1095/5000][420/535][112954] Loss_D: -0.021300 Loss_G: -0.004601 Loss_D_real: -0.003851 Loss_D_fake 0.017449
[1095/5000][425/535][112955] Loss_D: -0.021969 Loss_G: 0.003131 Loss_D_real: -0.015222 Loss_D_fake 0.006747
[1095/5000][430/535][112956] Loss_D: -0.022263 Loss_G: -0.009382 Loss_D_real: -0.000479 Loss_D_fake 0.021784
[1095/5000][435/535][112957] Loss_D: -0.022286 Loss_G: 0.009010 Loss_D_real: -0.017887 Loss_D_fake 0.004399
[1095/5000][440/535][112958] Loss_D: -0.020774 Loss_G: 0.024562 Loss_D_real: -0.020986 Loss_D_fake -0.000212
[1095/5000][445/535][112959] Loss_D: -0.022516 Loss_G: 0.000894 Loss_D_real: -0.016222 Loss_D_fake 0.006294
[1095/5000][450/535][112960] Loss_D: -0.020768 Loss_G: 0.006430 Loss_D_real: -0.014314 Loss_D_fake 0.006454
[1095/5000][455/535][112961] Loss_D: -0.021865 Loss_G: 0.005661 Loss_D_real: -0.016555 Loss_D_fake 0.005311
[1095/5000][460/535][112962] Loss_D: -0.021509 Loss_G: -0.000081 Loss_D_real: -0.018921 Loss_D_fake 0.002589
[1095/5000][465/535][112963] Loss_D: -0.020667 Loss_G: 0.021374 Loss_D_real: -0.033732 Loss_D_fake -0.013065
[1095/5000][470/535][112964] Loss_D: -0.021060 Loss_G: 0.009257 Loss_D_real: -0.026370 Loss_D_fake -0.005310
[1095/5000][475/535][112965] Loss_D: -0.021362 Loss_G: 0.006029 Loss_D_real: -0.005855 Loss_D_fake 0.015508
[1095/5000][480/535][112966] Loss_D: -0.020622 Loss_G: 0.013729 Loss_D_real: -0.015564 Loss_D_fake 0.005058
[1095/5000][485/535][112967] Loss_D: -0.020626 Loss_G: -0.006963 Loss_D_real: -0.011678 Loss_D_fake 0.008948
[1095/5000][490/535][112968] Loss_D: -0.021058 Loss_G: 0.021950 Loss_D_real: -0.028567 Loss_D_fake -0.007509
[1095/5000][495/535][112969] Loss_D: -0.021634 Loss_G: -0.008262 Loss_D_real: -0.002310 Loss_D_fake 0.019324
[1095/5000][500/535][112970] Loss_D: -0.021659 Loss_G: -0.004622 Loss_D_real: -0.017626 Loss_D_fake 0.004034
[1095/5000][505/535][112971] Loss_D: -0.022446 Loss_G: 0.006271 Loss_D_real: -0.015240 Loss_D_fake 0.007206
[1095/5000][510/535][112972] Loss_D: -0.020228 Loss_G: -0.016352 Loss_D_real: -0.009072 Loss_D_fake 0.011156
[1095/5000][515/535][112973] Loss_D: -0.023722 Loss_G: 0.015549 Loss_D_real: -0.016069 Loss_D_fake 0.007653
[1095/5000][520/535][112974] Loss_D: -0.021537 Loss_G: 0.016950 Loss_D_real: -0.026629 Loss_D_fake -0.005092
[1095/5000][525/535][112975] Loss_D: -0.021719 Loss_G: 0.003208 Loss_D_real: -0.031913 Loss_D_fake -0.010194
[1095/5000][530/535][112976] Loss_D: -0.020702 Loss_G: 0.014911 Loss_D_real: -0.019176 Loss_D_fake 0.001527
[1095/5000][535/535][112977] Loss_D: -0.019231 Loss_G: 0.030068 Loss_D_real: -0.042832 Loss_D_fake -0.023601
[1096/5000][5/535][112978] Loss_D: -0.022941 Loss_G: 0.005524 Loss_D_real: -0.015849 Loss_D_fake 0.007092
[1096/5000][10/535][112979] Loss_D: -0.020909 Loss_G: -0.005586 Loss_D_real: -0.007180 Loss_D_fake 0.013730
[1096/5000][15/535][112980] Loss_D: -0.021147 Loss_G: 0.014115 Loss_D_real: -0.021598 Loss_D_fake -0.000451
[1096/5000][20/535][112981] Loss_D: -0.021557 Loss_G: 0.000507 Loss_D_real: -0.022026 Loss_D_fake -0.000469
[1096/5000][25/535][112982] Loss_D: -0.021437 Loss_G: 0.014749 Loss_D_real: -0.026670 Loss_D_fake -0.005234
[1096/5000][30/535][112983] Loss_D: -0.020468 Loss_G: -0.012620 Loss_D_real: -0.007512 Loss_D_fake 0.012956
[1096/5000][35/535][112984] Loss_D: -0.022895 Loss_G: 0.005546 Loss_D_real: -0.020742 Loss_D_fake 0.002153
[1096/5000][40/535][112985] Loss_D: -0.021579 Loss_G: -0.008004 Loss_D_real: -0.015318 Loss_D_fake 0.006261
[1096/5000][45/535][112986] Loss_D: -0.021693 Loss_G: 0.003148 Loss_D_real: -0.017781 Loss_D_fake 0.003913
[1096/5000][50/535][112987] Loss_D: -0.021859 Loss_G: 0.006124 Loss_D_real: -0.022125 Loss_D_fake -0.000267
[1096/5000][55/535][112988] Loss_D: -0.023583 Loss_G: 0.015177 Loss_D_real: -0.013881 Loss_D_fake 0.009702
[1096/5000][60/535][112989] Loss_D: -0.022950 Loss_G: 0.014505 Loss_D_real: -0.012821 Loss_D_fake 0.010130
[1096/5000][65/535][112990] Loss_D: -0.022796 Loss_G: 0.001586 Loss_D_real: -0.018601 Loss_D_fake 0.004196
[1096/5000][70/535][112991] Loss_D: -0.021218 Loss_G: 0.028162 Loss_D_real: -0.028342 Loss_D_fake -0.007124
[1096/5000][75/535][112992] Loss_D: -0.021097 Loss_G: 0.025991 Loss_D_real: -0.025542 Loss_D_fake -0.004446
[1096/5000][80/535][112993] Loss_D: -0.022357 Loss_G: 0.016162 Loss_D_real: -0.016139 Loss_D_fake 0.006218
[1096/5000][85/535][112994] Loss_D: -0.023128 Loss_G: 0.006473 Loss_D_real: -0.037246 Loss_D_fake -0.014118
[1096/5000][90/535][112995] Loss_D: -0.022153 Loss_G: 0.015754 Loss_D_real: -0.014716 Loss_D_fake 0.007437
[1096/5000][95/535][112996] Loss_D: -0.022168 Loss_G: 0.009697 Loss_D_real: -0.008151 Loss_D_fake 0.014017
[1096/5000][100/535][112997] Loss_D: -0.021519 Loss_G: 0.000746 Loss_D_real: -0.018348 Loss_D_fake 0.003171
[1096/5000][105/535][112998] Loss_D: -0.021999 Loss_G: 0.006722 Loss_D_real: -0.017372 Loss_D_fake 0.004627
[1096/5000][110/535][112999] Loss_D: -0.020531 Loss_G: -0.001078 Loss_D_real: -0.014240 Loss_D_fake 0.006291
[1096/5000][115/535][113000] Loss_D: -0.021308 Loss_G: -0.012756 Loss_D_real: -0.008489 Loss_D_fake 0.012819
[1096/5000][215/535][113001] Loss_D: -0.025881 Loss_G: 0.016593 Loss_D_real: -0.019995 Loss_D_fake 0.005885
[1096/5000][220/535][113002] Loss_D: -0.022192 Loss_G: 0.029859 Loss_D_real: -0.028772 Loss_D_fake -0.006580
[1096/5000][225/535][113003] Loss_D: -0.021694 Loss_G: 0.018353 Loss_D_real: -0.031989 Loss_D_fake -0.010295
[1096/5000][230/535][113004] Loss_D: -0.020633 Loss_G: 0.004855 Loss_D_real: -0.007448 Loss_D_fake 0.013185
[1096/5000][235/535][113005] Loss_D: -0.019281 Loss_G: 0.020589 Loss_D_real: -0.027985 Loss_D_fake -0.008704
[1096/5000][240/535][113006] Loss_D: -0.021509 Loss_G: -0.000191 Loss_D_real: -0.015659 Loss_D_fake 0.005850
[1096/5000][245/535][113007] Loss_D: -0.020484 Loss_G: 0.022601 Loss_D_real: -0.029525 Loss_D_fake -0.009041
[1096/5000][250/535][113008] Loss_D: -0.021944 Loss_G: 0.014380 Loss_D_real: -0.022068 Loss_D_fake -0.000124
[1096/5000][255/535][113009] Loss_D: -0.021679 Loss_G: 0.016936 Loss_D_real: -0.024711 Loss_D_fake -0.003032
[1096/5000][260/535][113010] Loss_D: -0.021525 Loss_G: 0.007314 Loss_D_real: -0.022187 Loss_D_fake -0.000662
[1096/5000][265/535][113011] Loss_D: -0.022065 Loss_G: 0.001617 Loss_D_real: -0.017126 Loss_D_fake 0.004939
[1096/5000][270/535][113012] Loss_D: -0.022356 Loss_G: 0.020104 Loss_D_real: -0.022125 Loss_D_fake 0.000231
[1096/5000][275/535][113013] Loss_D: -0.020760 Loss_G: -0.014681 Loss_D_real: -0.000546 Loss_D_fake 0.020214
[1096/5000][280/535][113014] Loss_D: -0.021031 Loss_G: 0.010872 Loss_D_real: -0.023151 Loss_D_fake -0.002120
[1096/5000][285/535][113015] Loss_D: -0.021153 Loss_G: 0.001031 Loss_D_real: -0.013288 Loss_D_fake 0.007865
[1096/5000][290/535][113016] Loss_D: -0.022254 Loss_G: 0.008645 Loss_D_real: -0.013004 Loss_D_fake 0.009250
[1096/5000][295/535][113017] Loss_D: -0.021286 Loss_G: 0.004767 Loss_D_real: -0.015525 Loss_D_fake 0.005761
[1096/5000][300/535][113018] Loss_D: -0.021894 Loss_G: 0.010609 Loss_D_real: -0.017641 Loss_D_fake 0.004253
[1096/5000][305/535][113019] Loss_D: -0.022474 Loss_G: 0.000361 Loss_D_real: -0.009273 Loss_D_fake 0.013201
[1096/5000][310/535][113020] Loss_D: -0.020710 Loss_G: 0.030717 Loss_D_real: -0.027038 Loss_D_fake -0.006328
[1096/5000][315/535][113021] Loss_D: -0.020457 Loss_G: 0.010871 Loss_D_real: -0.020663 Loss_D_fake -0.000206
[1096/5000][320/535][113022] Loss_D: -0.021285 Loss_G: 0.019552 Loss_D_real: -0.025146 Loss_D_fake -0.003861
[1096/5000][325/535][113023] Loss_D: -0.023114 Loss_G: -0.005967 Loss_D_real: -0.007602 Loss_D_fake 0.015512
[1096/5000][330/535][113024] Loss_D: -0.022021 Loss_G: 0.001441 Loss_D_real: -0.019530 Loss_D_fake 0.002491
[1096/5000][335/535][113025] Loss_D: -0.021677 Loss_G: -0.000126 Loss_D_real: -0.015975 Loss_D_fake 0.005702
[1096/5000][340/535][113026] Loss_D: -0.021541 Loss_G: 0.015326 Loss_D_real: -0.028283 Loss_D_fake -0.006742
[1096/5000][345/535][113027] Loss_D: -0.021070 Loss_G: 0.012393 Loss_D_real: -0.024440 Loss_D_fake -0.003370
[1096/5000][350/535][113028] Loss_D: -0.020688 Loss_G: 0.007853 Loss_D_real: -0.023880 Loss_D_fake -0.003193
[1096/5000][355/535][113029] Loss_D: -0.021379 Loss_G: 0.009103 Loss_D_real: -0.022756 Loss_D_fake -0.001377
[1096/5000][360/535][113030] Loss_D: -0.020787 Loss_G: 0.008573 Loss_D_real: -0.012454 Loss_D_fake 0.008333
[1096/5000][365/535][113031] Loss_D: -0.020651 Loss_G: 0.003153 Loss_D_real: -0.031682 Loss_D_fake -0.011032
[1096/5000][370/535][113032] Loss_D: -0.021849 Loss_G: 0.005916 Loss_D_real: -0.018805 Loss_D_fake 0.003043
[1096/5000][375/535][113033] Loss_D: -0.021802 Loss_G: -0.010124 Loss_D_real: -0.011377 Loss_D_fake 0.010425
[1096/5000][380/535][113034] Loss_D: -0.021483 Loss_G: 0.009975 Loss_D_real: -0.024741 Loss_D_fake -0.003258
[1096/5000][385/535][113035] Loss_D: -0.021983 Loss_G: 0.020518 Loss_D_real: -0.020141 Loss_D_fake 0.001842
[1096/5000][390/535][113036] Loss_D: -0.020118 Loss_G: 0.012932 Loss_D_real: -0.030923 Loss_D_fake -0.010804
[1096/5000][395/535][113037] Loss_D: -0.022358 Loss_G: -0.001373 Loss_D_real: -0.013368 Loss_D_fake 0.008989
[1096/5000][400/535][113038] Loss_D: -0.020659 Loss_G: 0.015101 Loss_D_real: -0.012654 Loss_D_fake 0.008004
[1096/5000][405/535][113039] Loss_D: -0.021079 Loss_G: -0.006922 Loss_D_real: -0.012548 Loss_D_fake 0.008532
[1096/5000][410/535][113040] Loss_D: -0.021821 Loss_G: 0.002849 Loss_D_real: -0.023814 Loss_D_fake -0.001993
[1096/5000][415/535][113041] Loss_D: -0.019095 Loss_G: -0.011902 Loss_D_real: -0.006472 Loss_D_fake 0.012623
[1096/5000][420/535][113042] Loss_D: -0.021577 Loss_G: 0.006248 Loss_D_real: -0.017443 Loss_D_fake 0.004134
[1096/5000][425/535][113043] Loss_D: -0.020916 Loss_G: 0.002713 Loss_D_real: -0.011073 Loss_D_fake 0.009843
[1096/5000][430/535][113044] Loss_D: -0.019723 Loss_G: 0.002303 Loss_D_real: -0.030505 Loss_D_fake -0.010782
[1096/5000][435/535][113045] Loss_D: -0.020465 Loss_G: 0.030827 Loss_D_real: -0.033148 Loss_D_fake -0.012683
[1096/5000][440/535][113046] Loss_D: -0.020192 Loss_G: -0.006975 Loss_D_real: -0.011671 Loss_D_fake 0.008522
[1096/5000][445/535][113047] Loss_D: -0.021281 Loss_G: 0.015743 Loss_D_real: -0.027604 Loss_D_fake -0.006323
[1096/5000][450/535][113048] Loss_D: -0.020721 Loss_G: 0.014334 Loss_D_real: -0.020481 Loss_D_fake 0.000240
[1096/5000][455/535][113049] Loss_D: -0.020916 Loss_G: 0.009975 Loss_D_real: -0.020380 Loss_D_fake 0.000536
[1096/5000][460/535][113050] Loss_D: -0.021650 Loss_G: 0.005863 Loss_D_real: -0.006771 Loss_D_fake 0.014879
[1096/5000][465/535][113051] Loss_D: -0.022707 Loss_G: -0.009116 Loss_D_real: -0.011015 Loss_D_fake 0.011692
[1096/5000][470/535][113052] Loss_D: -0.021058 Loss_G: -0.003388 Loss_D_real: -0.006645 Loss_D_fake 0.014413
[1096/5000][475/535][113053] Loss_D: -0.022219 Loss_G: 0.008830 Loss_D_real: -0.017045 Loss_D_fake 0.005173
[1096/5000][480/535][113054] Loss_D: -0.020857 Loss_G: 0.018586 Loss_D_real: -0.016614 Loss_D_fake 0.004243
[1096/5000][485/535][113055] Loss_D: -0.023638 Loss_G: 0.013100 Loss_D_real: -0.010188 Loss_D_fake 0.013450
[1096/5000][490/535][113056] Loss_D: -0.020301 Loss_G: 0.010523 Loss_D_real: -0.016580 Loss_D_fake 0.003722
[1096/5000][495/535][113057] Loss_D: -0.021215 Loss_G: -0.000343 Loss_D_real: -0.014088 Loss_D_fake 0.007127
[1096/5000][500/535][113058] Loss_D: -0.022788 Loss_G: -0.005494 Loss_D_real: -0.014998 Loss_D_fake 0.007790
[1096/5000][505/535][113059] Loss_D: -0.022467 Loss_G: 0.020791 Loss_D_real: -0.030146 Loss_D_fake -0.007679
[1096/5000][510/535][113060] Loss_D: -0.021696 Loss_G: -0.002425 Loss_D_real: -0.012242 Loss_D_fake 0.009454
[1096/5000][515/535][113061] Loss_D: -0.022188 Loss_G: -0.007294 Loss_D_real: -0.004807 Loss_D_fake 0.017381
[1096/5000][520/535][113062] Loss_D: -0.021821 Loss_G: 0.000045 Loss_D_real: -0.020574 Loss_D_fake 0.001247
[1096/5000][525/535][113063] Loss_D: -0.022842 Loss_G: 0.010433 Loss_D_real: -0.018685 Loss_D_fake 0.004157
[1096/5000][530/535][113064] Loss_D: -0.022766 Loss_G: 0.010792 Loss_D_real: -0.015566 Loss_D_fake 0.007200
[1096/5000][535/535][113065] Loss_D: -0.021755 Loss_G: -0.001443 Loss_D_real: -0.016366 Loss_D_fake 0.005389
[1097/5000][5/535][113066] Loss_D: -0.022791 Loss_G: 0.011006 Loss_D_real: -0.020502 Loss_D_fake 0.002289
[1097/5000][10/535][113067] Loss_D: -0.021345 Loss_G: 0.021779 Loss_D_real: -0.010018 Loss_D_fake 0.011326
[1097/5000][15/535][113068] Loss_D: -0.022166 Loss_G: 0.007231 Loss_D_real: -0.010240 Loss_D_fake 0.011926
[1097/5000][20/535][113069] Loss_D: -0.021363 Loss_G: 0.002509 Loss_D_real: -0.015206 Loss_D_fake 0.006157
[1097/5000][25/535][113070] Loss_D: -0.022124 Loss_G: 0.026877 Loss_D_real: -0.018197 Loss_D_fake 0.003927
[1097/5000][30/535][113071] Loss_D: -0.020608 Loss_G: 0.016542 Loss_D_real: -0.016800 Loss_D_fake 0.003808
[1097/5000][35/535][113072] Loss_D: -0.023217 Loss_G: 0.001641 Loss_D_real: -0.016578 Loss_D_fake 0.006639
[1097/5000][40/535][113073] Loss_D: -0.022061 Loss_G: 0.007231 Loss_D_real: -0.017583 Loss_D_fake 0.004478
[1097/5000][45/535][113074] Loss_D: -0.023180 Loss_G: 0.012228 Loss_D_real: -0.015453 Loss_D_fake 0.007726
[1097/5000][50/535][113075] Loss_D: -0.021756 Loss_G: 0.011565 Loss_D_real: -0.024664 Loss_D_fake -0.002909
[1097/5000][55/535][113076] Loss_D: -0.021574 Loss_G: 0.000487 Loss_D_real: -0.025651 Loss_D_fake -0.004078
[1097/5000][60/535][113077] Loss_D: -0.019190 Loss_G: 0.021653 Loss_D_real: -0.036565 Loss_D_fake -0.017375
[1097/5000][65/535][113078] Loss_D: -0.021386 Loss_G: 0.012678 Loss_D_real: -0.011818 Loss_D_fake 0.009568
[1097/5000][70/535][113079] Loss_D: -0.021372 Loss_G: 0.012956 Loss_D_real: -0.028024 Loss_D_fake -0.006652
[1097/5000][75/535][113080] Loss_D: -0.022111 Loss_G: 0.022141 Loss_D_real: -0.030865 Loss_D_fake -0.008754
[1097/5000][80/535][113081] Loss_D: -0.021114 Loss_G: -0.016203 Loss_D_real: -0.011601 Loss_D_fake 0.009513
[1097/5000][85/535][113082] Loss_D: -0.021316 Loss_G: 0.010143 Loss_D_real: -0.025617 Loss_D_fake -0.004301
[1097/5000][90/535][113083] Loss_D: -0.022754 Loss_G: -0.003180 Loss_D_real: -0.001333 Loss_D_fake 0.021421
[1097/5000][95/535][113084] Loss_D: -0.021194 Loss_G: 0.003371 Loss_D_real: -0.015552 Loss_D_fake 0.005642
[1097/5000][100/535][113085] Loss_D: -0.021043 Loss_G: 0.025622 Loss_D_real: -0.030150 Loss_D_fake -0.009107
[1097/5000][105/535][113086] Loss_D: -0.019977 Loss_G: 0.021787 Loss_D_real: -0.038703 Loss_D_fake -0.018726
[1097/5000][110/535][113087] Loss_D: -0.020759 Loss_G: -0.007521 Loss_D_real: -0.021791 Loss_D_fake -0.001032
[1097/5000][115/535][113088] Loss_D: -0.020407 Loss_G: -0.002103 Loss_D_real: -0.022008 Loss_D_fake -0.001601
[1097/5000][120/535][113089] Loss_D: -0.023106 Loss_G: 0.003551 Loss_D_real: -0.016201 Loss_D_fake 0.006904
[1097/5000][125/535][113090] Loss_D: -0.020631 Loss_G: 0.009969 Loss_D_real: -0.015664 Loss_D_fake 0.004967
[1097/5000][130/535][113091] Loss_D: -0.020533 Loss_G: 0.020132 Loss_D_real: -0.028992 Loss_D_fake -0.008459
[1097/5000][135/535][113092] Loss_D: -0.020879 Loss_G: 0.011456 Loss_D_real: -0.025263 Loss_D_fake -0.004384
[1097/5000][140/535][113093] Loss_D: -0.020841 Loss_G: 0.021794 Loss_D_real: -0.028413 Loss_D_fake -0.007572
[1097/5000][145/535][113094] Loss_D: -0.020990 Loss_G: -0.011986 Loss_D_real: 0.000493 Loss_D_fake 0.021483
[1097/5000][150/535][113095] Loss_D: -0.021986 Loss_G: 0.013648 Loss_D_real: -0.032056 Loss_D_fake -0.010070
[1097/5000][155/535][113096] Loss_D: -0.021889 Loss_G: 0.003949 Loss_D_real: -0.009464 Loss_D_fake 0.012425
[1097/5000][160/535][113097] Loss_D: -0.021224 Loss_G: 0.017122 Loss_D_real: -0.030198 Loss_D_fake -0.008974
[1097/5000][165/535][113098] Loss_D: -0.021603 Loss_G: -0.003173 Loss_D_real: -0.012487 Loss_D_fake 0.009117
[1097/5000][170/535][113099] Loss_D: -0.021224 Loss_G: -0.012396 Loss_D_real: -0.005130 Loss_D_fake 0.016094
[1097/5000][175/535][113100] Loss_D: -0.021643 Loss_G: 0.015307 Loss_D_real: -0.024868 Loss_D_fake -0.003225
[1097/5000][180/535][113101] Loss_D: -0.021002 Loss_G: 0.016942 Loss_D_real: -0.019184 Loss_D_fake 0.001819
[1097/5000][185/535][113102] Loss_D: -0.020058 Loss_G: 0.003964 Loss_D_real: -0.020457 Loss_D_fake -0.000400
[1097/5000][190/535][113103] Loss_D: -0.021127 Loss_G: 0.000157 Loss_D_real: -0.017651 Loss_D_fake 0.003476
[1097/5000][195/535][113104] Loss_D: -0.020347 Loss_G: 0.018856 Loss_D_real: -0.023586 Loss_D_fake -0.003239
[1097/5000][200/535][113105] Loss_D: -0.019380 Loss_G: 0.027614 Loss_D_real: -0.029808 Loss_D_fake -0.010428
[1097/5000][205/535][113106] Loss_D: -0.020665 Loss_G: 0.009530 Loss_D_real: -0.016390 Loss_D_fake 0.004275
[1097/5000][210/535][113107] Loss_D: -0.020740 Loss_G: 0.007757 Loss_D_real: -0.009645 Loss_D_fake 0.011096
[1097/5000][215/535][113108] Loss_D: -0.021922 Loss_G: 0.001677 Loss_D_real: -0.016085 Loss_D_fake 0.005837
[1097/5000][220/535][113109] Loss_D: -0.020860 Loss_G: 0.005986 Loss_D_real: -0.009634 Loss_D_fake 0.011226
[1097/5000][225/535][113110] Loss_D: -0.020369 Loss_G: 0.014997 Loss_D_real: -0.029531 Loss_D_fake -0.009162
[1097/5000][230/535][113111] Loss_D: -0.022023 Loss_G: -0.001237 Loss_D_real: -0.008518 Loss_D_fake 0.013505
[1097/5000][235/535][113112] Loss_D: -0.020799 Loss_G: -0.001333 Loss_D_real: -0.009771 Loss_D_fake 0.011028
[1097/5000][240/535][113113] Loss_D: -0.023037 Loss_G: 0.003373 Loss_D_real: -0.010341 Loss_D_fake 0.012696
[1097/5000][245/535][113114] Loss_D: -0.019848 Loss_G: -0.012380 Loss_D_real: 0.004516 Loss_D_fake 0.024364
[1097/5000][250/535][113115] Loss_D: -0.021292 Loss_G: -0.012379 Loss_D_real: -0.016216 Loss_D_fake 0.005076
[1097/5000][255/535][113116] Loss_D: -0.022581 Loss_G: 0.018328 Loss_D_real: -0.022036 Loss_D_fake 0.000545
[1097/5000][260/535][113117] Loss_D: -0.021485 Loss_G: -0.001392 Loss_D_real: -0.014690 Loss_D_fake 0.006795
[1097/5000][265/535][113118] Loss_D: -0.020871 Loss_G: 0.005189 Loss_D_real: -0.022622 Loss_D_fake -0.001751
[1097/5000][270/535][113119] Loss_D: -0.023524 Loss_G: 0.008516 Loss_D_real: -0.023400 Loss_D_fake 0.000124
[1097/5000][275/535][113120] Loss_D: -0.022691 Loss_G: 0.000310 Loss_D_real: -0.005435 Loss_D_fake 0.017257
[1097/5000][280/535][113121] Loss_D: -0.022279 Loss_G: -0.000796 Loss_D_real: -0.007260 Loss_D_fake 0.015020
[1097/5000][285/535][113122] Loss_D: -0.021790 Loss_G: 0.019562 Loss_D_real: -0.032176 Loss_D_fake -0.010386
[1097/5000][290/535][113123] Loss_D: -0.021395 Loss_G: -0.002451 Loss_D_real: 0.001656 Loss_D_fake 0.023051
[1097/5000][295/535][113124] Loss_D: -0.021485 Loss_G: 0.011501 Loss_D_real: -0.015423 Loss_D_fake 0.006062
[1097/5000][300/535][113125] Loss_D: -0.021636 Loss_G: -0.010053 Loss_D_real: -0.007913 Loss_D_fake 0.013723
[1097/5000][305/535][113126] Loss_D: -0.022898 Loss_G: -0.016187 Loss_D_real: -0.007340 Loss_D_fake 0.015558
[1097/5000][310/535][113127] Loss_D: -0.019307 Loss_G: 0.029477 Loss_D_real: -0.039825 Loss_D_fake -0.020517
[1097/5000][315/535][113128] Loss_D: -0.022169 Loss_G: -0.001708 Loss_D_real: -0.011838 Loss_D_fake 0.010331
[1097/5000][320/535][113129] Loss_D: -0.021724 Loss_G: 0.019749 Loss_D_real: -0.023160 Loss_D_fake -0.001436
[1097/5000][325/535][113130] Loss_D: -0.021784 Loss_G: 0.001540 Loss_D_real: -0.008707 Loss_D_fake 0.013077
[1097/5000][330/535][113131] Loss_D: -0.022718 Loss_G: 0.012677 Loss_D_real: -0.027370 Loss_D_fake -0.004652
[1097/5000][335/535][113132] Loss_D: -0.022929 Loss_G: 0.002396 Loss_D_real: -0.012581 Loss_D_fake 0.010348
[1097/5000][340/535][113133] Loss_D: -0.023085 Loss_G: 0.012938 Loss_D_real: -0.015821 Loss_D_fake 0.007264
[1097/5000][345/535][113134] Loss_D: -0.022179 Loss_G: -0.000853 Loss_D_real: -0.016423 Loss_D_fake 0.005756
[1097/5000][350/535][113135] Loss_D: -0.022250 Loss_G: 0.013159 Loss_D_real: -0.023338 Loss_D_fake -0.001088
[1097/5000][355/535][113136] Loss_D: -0.021769 Loss_G: 0.016626 Loss_D_real: -0.020834 Loss_D_fake 0.000935
[1097/5000][360/535][113137] Loss_D: -0.020075 Loss_G: -0.014804 Loss_D_real: -0.000181 Loss_D_fake 0.019895
[1097/5000][365/535][113138] Loss_D: -0.020618 Loss_G: -0.005227 Loss_D_real: -0.012343 Loss_D_fake 0.008275
[1097/5000][370/535][113139] Loss_D: -0.021194 Loss_G: 0.007325 Loss_D_real: -0.015724 Loss_D_fake 0.005470
[1097/5000][375/535][113140] Loss_D: -0.022147 Loss_G: 0.009685 Loss_D_real: -0.010470 Loss_D_fake 0.011677
[1097/5000][380/535][113141] Loss_D: -0.022584 Loss_G: -0.004503 Loss_D_real: -0.007618 Loss_D_fake 0.014965
[1097/5000][385/535][113142] Loss_D: -0.021689 Loss_G: -0.021081 Loss_D_real: -0.008701 Loss_D_fake 0.012988
[1097/5000][390/535][113143] Loss_D: -0.021525 Loss_G: 0.016108 Loss_D_real: -0.019293 Loss_D_fake 0.002232
[1097/5000][395/535][113144] Loss_D: -0.022795 Loss_G: -0.001767 Loss_D_real: -0.012688 Loss_D_fake 0.010107
[1097/5000][400/535][113145] Loss_D: -0.020760 Loss_G: 0.012475 Loss_D_real: -0.026553 Loss_D_fake -0.005793
[1097/5000][405/535][113146] Loss_D: -0.021064 Loss_G: 0.025599 Loss_D_real: -0.026700 Loss_D_fake -0.005636
[1097/5000][410/535][113147] Loss_D: -0.021876 Loss_G: -0.002391 Loss_D_real: -0.015794 Loss_D_fake 0.006083
[1097/5000][415/535][113148] Loss_D: -0.021834 Loss_G: 0.022158 Loss_D_real: -0.018863 Loss_D_fake 0.002971
[1097/5000][420/535][113149] Loss_D: -0.022445 Loss_G: 0.018130 Loss_D_real: -0.032189 Loss_D_fake -0.009744
[1097/5000][425/535][113150] Loss_D: -0.021861 Loss_G: 0.010799 Loss_D_real: -0.025111 Loss_D_fake -0.003250
[1097/5000][430/535][113151] Loss_D: -0.022047 Loss_G: 0.007949 Loss_D_real: -0.027964 Loss_D_fake -0.005917
[1097/5000][435/535][113152] Loss_D: -0.022363 Loss_G: -0.006048 Loss_D_real: -0.008366 Loss_D_fake 0.013997
[1097/5000][440/535][113153] Loss_D: -0.021789 Loss_G: 0.001320 Loss_D_real: -0.010231 Loss_D_fake 0.011558
[1097/5000][445/535][113154] Loss_D: -0.020476 Loss_G: 0.016594 Loss_D_real: -0.030898 Loss_D_fake -0.010422
[1097/5000][450/535][113155] Loss_D: -0.022213 Loss_G: -0.002098 Loss_D_real: -0.013832 Loss_D_fake 0.008381
[1097/5000][455/535][113156] Loss_D: -0.022594 Loss_G: 0.016016 Loss_D_real: -0.021318 Loss_D_fake 0.001276
[1097/5000][460/535][113157] Loss_D: -0.020480 Loss_G: 0.015605 Loss_D_real: -0.018433 Loss_D_fake 0.002047
[1097/5000][465/535][113158] Loss_D: -0.023169 Loss_G: 0.025904 Loss_D_real: -0.024948 Loss_D_fake -0.001779
[1097/5000][470/535][113159] Loss_D: -0.021508 Loss_G: -0.002327 Loss_D_real: -0.000226 Loss_D_fake 0.021282
[1097/5000][475/535][113160] Loss_D: -0.020874 Loss_G: 0.001021 Loss_D_real: -0.018946 Loss_D_fake 0.001927
[1097/5000][480/535][113161] Loss_D: -0.022171 Loss_G: 0.011945 Loss_D_real: -0.007810 Loss_D_fake 0.014360
[1097/5000][485/535][113162] Loss_D: -0.021259 Loss_G: -0.003078 Loss_D_real: -0.008793 Loss_D_fake 0.012466
[1097/5000][490/535][113163] Loss_D: -0.021395 Loss_G: -0.015552 Loss_D_real: 0.004117 Loss_D_fake 0.025512
[1097/5000][495/535][113164] Loss_D: -0.020000 Loss_G: 0.025579 Loss_D_real: -0.031159 Loss_D_fake -0.011158
[1097/5000][500/535][113165] Loss_D: -0.023051 Loss_G: -0.001559 Loss_D_real: -0.011086 Loss_D_fake 0.011965
[1097/5000][505/535][113166] Loss_D: -0.021703 Loss_G: 0.005401 Loss_D_real: -0.026013 Loss_D_fake -0.004310
[1097/5000][510/535][113167] Loss_D: -0.022096 Loss_G: 0.003036 Loss_D_real: -0.020635 Loss_D_fake 0.001461
[1097/5000][515/535][113168] Loss_D: -0.021223 Loss_G: 0.016243 Loss_D_real: -0.020650 Loss_D_fake 0.000573
[1097/5000][520/535][113169] Loss_D: -0.021755 Loss_G: -0.004000 Loss_D_real: -0.003489 Loss_D_fake 0.018266
[1097/5000][525/535][113170] Loss_D: -0.021974 Loss_G: 0.007491 Loss_D_real: -0.025520 Loss_D_fake -0.003546
[1097/5000][530/535][113171] Loss_D: -0.021162 Loss_G: -0.000024 Loss_D_real: -0.015320 Loss_D_fake 0.005842
[1097/5000][535/535][113172] Loss_D: -0.023576 Loss_G: 0.011771 Loss_D_real: -0.031506 Loss_D_fake -0.007930
[1098/5000][5/535][113173] Loss_D: -0.021826 Loss_G: 0.008567 Loss_D_real: -0.017097 Loss_D_fake 0.004729
[1098/5000][10/535][113174] Loss_D: -0.022595 Loss_G: 0.016703 Loss_D_real: -0.037576 Loss_D_fake -0.014981
[1098/5000][15/535][113175] Loss_D: -0.021450 Loss_G: -0.002833 Loss_D_real: -0.003731 Loss_D_fake 0.017719
[1098/5000][20/535][113176] Loss_D: -0.019357 Loss_G: 0.033091 Loss_D_real: -0.027749 Loss_D_fake -0.008392
[1098/5000][25/535][113177] Loss_D: -0.021244 Loss_G: 0.011140 Loss_D_real: -0.024735 Loss_D_fake -0.003491
[1098/5000][30/535][113178] Loss_D: -0.022081 Loss_G: -0.002661 Loss_D_real: -0.012554 Loss_D_fake 0.009527
[1098/5000][35/535][113179] Loss_D: -0.021696 Loss_G: -0.003863 Loss_D_real: -0.009969 Loss_D_fake 0.011727
[1098/5000][40/535][113180] Loss_D: -0.020811 Loss_G: 0.002768 Loss_D_real: -0.013492 Loss_D_fake 0.007318
[1098/5000][45/535][113181] Loss_D: -0.021331 Loss_G: 0.003658 Loss_D_real: -0.023823 Loss_D_fake -0.002492
[1098/5000][50/535][113182] Loss_D: -0.022525 Loss_G: 0.012756 Loss_D_real: -0.017388 Loss_D_fake 0.005137
[1098/5000][55/535][113183] Loss_D: -0.023246 Loss_G: 0.022599 Loss_D_real: -0.031874 Loss_D_fake -0.008628
[1098/5000][60/535][113184] Loss_D: -0.020980 Loss_G: 0.021039 Loss_D_real: -0.028377 Loss_D_fake -0.007397
[1098/5000][65/535][113185] Loss_D: -0.021097 Loss_G: 0.027072 Loss_D_real: -0.035777 Loss_D_fake -0.014681
[1098/5000][70/535][113186] Loss_D: -0.022341 Loss_G: 0.003203 Loss_D_real: -0.019333 Loss_D_fake 0.003008
[1098/5000][75/535][113187] Loss_D: -0.022182 Loss_G: -0.000672 Loss_D_real: -0.020581 Loss_D_fake 0.001601
[1098/5000][80/535][113188] Loss_D: -0.021021 Loss_G: 0.014385 Loss_D_real: -0.023209 Loss_D_fake -0.002188
[1098/5000][85/535][113189] Loss_D: -0.020839 Loss_G: 0.004445 Loss_D_real: -0.026997 Loss_D_fake -0.006158
[1098/5000][90/535][113190] Loss_D: -0.022531 Loss_G: 0.036793 Loss_D_real: -0.030213 Loss_D_fake -0.007682
[1098/5000][95/535][113191] Loss_D: -0.021367 Loss_G: 0.018444 Loss_D_real: -0.021566 Loss_D_fake -0.000199
[1098/5000][100/535][113192] Loss_D: -0.021812 Loss_G: -0.006408 Loss_D_real: -0.015923 Loss_D_fake 0.005889
[1098/5000][105/535][113193] Loss_D: -0.021813 Loss_G: 0.005739 Loss_D_real: -0.021677 Loss_D_fake 0.000136
[1098/5000][110/535][113194] Loss_D: -0.022536 Loss_G: 0.011556 Loss_D_real: -0.030714 Loss_D_fake -0.008178
[1098/5000][115/535][113195] Loss_D: -0.021453 Loss_G: 0.009189 Loss_D_real: -0.022307 Loss_D_fake -0.000854
[1098/5000][120/535][113196] Loss_D: -0.021814 Loss_G: 0.013684 Loss_D_real: -0.021576 Loss_D_fake 0.000238
[1098/5000][125/535][113197] Loss_D: -0.020829 Loss_G: -0.000147 Loss_D_real: -0.001227 Loss_D_fake 0.019602
[1098/5000][130/535][113198] Loss_D: -0.022418 Loss_G: 0.013949 Loss_D_real: -0.029206 Loss_D_fake -0.006789
[1098/5000][135/535][113199] Loss_D: -0.020375 Loss_G: 0.024069 Loss_D_real: -0.015398 Loss_D_fake 0.004977
[1098/5000][140/535][113200] Loss_D: -0.020049 Loss_G: 0.022284 Loss_D_real: -0.022814 Loss_D_fake -0.002765
[1098/5000][145/535][113201] Loss_D: -0.020419 Loss_G: 0.012402 Loss_D_real: -0.019571 Loss_D_fake 0.000848
[1098/5000][150/535][113202] Loss_D: -0.022151 Loss_G: 0.002708 Loss_D_real: -0.025350 Loss_D_fake -0.003199
[1098/5000][155/535][113203] Loss_D: -0.020598 Loss_G: 0.014975 Loss_D_real: -0.020766 Loss_D_fake -0.000167
[1098/5000][160/535][113204] Loss_D: -0.020802 Loss_G: -0.001553 Loss_D_real: -0.000808 Loss_D_fake 0.019994
[1098/5000][165/535][113205] Loss_D: -0.022865 Loss_G: 0.022382 Loss_D_real: -0.022120 Loss_D_fake 0.000744
[1098/5000][170/535][113206] Loss_D: -0.022487 Loss_G: -0.010643 Loss_D_real: 0.003650 Loss_D_fake 0.026137
[1098/5000][175/535][113207] Loss_D: -0.021795 Loss_G: 0.001918 Loss_D_real: -0.019648 Loss_D_fake 0.002147
[1098/5000][180/535][113208] Loss_D: -0.020914 Loss_G: -0.002206 Loss_D_real: -0.009966 Loss_D_fake 0.010948
[1098/5000][185/535][113209] Loss_D: -0.021226 Loss_G: -0.005063 Loss_D_real: -0.005992 Loss_D_fake 0.015233
[1098/5000][190/535][113210] Loss_D: -0.021109 Loss_G: -0.001703 Loss_D_real: -0.003264 Loss_D_fake 0.017845
[1098/5000][195/535][113211] Loss_D: -0.020613 Loss_G: 0.026424 Loss_D_real: -0.033892 Loss_D_fake -0.013279
[1098/5000][200/535][113212] Loss_D: -0.022456 Loss_G: 0.007586 Loss_D_real: -0.013731 Loss_D_fake 0.008725
[1098/5000][205/535][113213] Loss_D: -0.021673 Loss_G: 0.016852 Loss_D_real: -0.025460 Loss_D_fake -0.003787
[1098/5000][210/535][113214] Loss_D: -0.021457 Loss_G: 0.017522 Loss_D_real: -0.031279 Loss_D_fake -0.009822
[1098/5000][215/535][113215] Loss_D: -0.022306 Loss_G: -0.002448 Loss_D_real: -0.016440 Loss_D_fake 0.005866
[1098/5000][220/535][113216] Loss_D: -0.022295 Loss_G: 0.005266 Loss_D_real: -0.015295 Loss_D_fake 0.006999
[1098/5000][225/535][113217] Loss_D: -0.021157 Loss_G: 0.015902 Loss_D_real: -0.033014 Loss_D_fake -0.011857
[1098/5000][230/535][113218] Loss_D: -0.021963 Loss_G: 0.020937 Loss_D_real: -0.025865 Loss_D_fake -0.003902
[1098/5000][235/535][113219] Loss_D: -0.022159 Loss_G: 0.016980 Loss_D_real: -0.029012 Loss_D_fake -0.006854
[1098/5000][240/535][113220] Loss_D: -0.020633 Loss_G: 0.000214 Loss_D_real: -0.002686 Loss_D_fake 0.017946
[1098/5000][245/535][113221] Loss_D: -0.021889 Loss_G: 0.003391 Loss_D_real: -0.011544 Loss_D_fake 0.010345
[1098/5000][250/535][113222] Loss_D: -0.020304 Loss_G: 0.002020 Loss_D_real: -0.000464 Loss_D_fake 0.019841
[1098/5000][255/535][113223] Loss_D: -0.020407 Loss_G: 0.003519 Loss_D_real: -0.014911 Loss_D_fake 0.005496
[1098/5000][260/535][113224] Loss_D: -0.022153 Loss_G: 0.005883 Loss_D_real: -0.025706 Loss_D_fake -0.003553
[1098/5000][265/535][113225] Loss_D: -0.019171 Loss_G: -0.005812 Loss_D_real: 0.012744 Loss_D_fake 0.031916
[1098/5000][270/535][113226] Loss_D: -0.020577 Loss_G: 0.010128 Loss_D_real: -0.022437 Loss_D_fake -0.001860
[1098/5000][275/535][113227] Loss_D: -0.021496 Loss_G: -0.001697 Loss_D_real: -0.013993 Loss_D_fake 0.007503
[1098/5000][280/535][113228] Loss_D: -0.022199 Loss_G: -0.007136 Loss_D_real: -0.009468 Loss_D_fake 0.012732
[1098/5000][285/535][113229] Loss_D: -0.020901 Loss_G: 0.036115 Loss_D_real: -0.030043 Loss_D_fake -0.009142
[1098/5000][290/535][113230] Loss_D: -0.022043 Loss_G: -0.014052 Loss_D_real: -0.006720 Loss_D_fake 0.015323
[1098/5000][295/535][113231] Loss_D: -0.021036 Loss_G: 0.016196 Loss_D_real: -0.013438 Loss_D_fake 0.007599
[1098/5000][300/535][113232] Loss_D: -0.021910 Loss_G: -0.009454 Loss_D_real: -0.014605 Loss_D_fake 0.007305
[1098/5000][305/535][113233] Loss_D: -0.020670 Loss_G: 0.018486 Loss_D_real: -0.030629 Loss_D_fake -0.009959
[1098/5000][310/535][113234] Loss_D: -0.021767 Loss_G: -0.002316 Loss_D_real: -0.016382 Loss_D_fake 0.005384
[1098/5000][315/535][113235] Loss_D: -0.022801 Loss_G: -0.002982 Loss_D_real: -0.017061 Loss_D_fake 0.005740
[1098/5000][320/535][113236] Loss_D: -0.021178 Loss_G: -0.013494 Loss_D_real: 0.006225 Loss_D_fake 0.027403
[1098/5000][325/535][113237] Loss_D: -0.022613 Loss_G: 0.024963 Loss_D_real: -0.026254 Loss_D_fake -0.003641
[1098/5000][330/535][113238] Loss_D: -0.022051 Loss_G: -0.004605 Loss_D_real: -0.012947 Loss_D_fake 0.009104
[1098/5000][335/535][113239] Loss_D: -0.022170 Loss_G: -0.005795 Loss_D_real: -0.019817 Loss_D_fake 0.002353
[1098/5000][340/535][113240] Loss_D: -0.021099 Loss_G: -0.009314 Loss_D_real: -0.004668 Loss_D_fake 0.016432
[1098/5000][345/535][113241] Loss_D: -0.020789 Loss_G: -0.005199 Loss_D_real: -0.004549 Loss_D_fake 0.016240
[1098/5000][350/535][113242] Loss_D: -0.020058 Loss_G: -0.003064 Loss_D_real: -0.011989 Loss_D_fake 0.008069
[1098/5000][355/535][113243] Loss_D: -0.022870 Loss_G: 0.016512 Loss_D_real: -0.017251 Loss_D_fake 0.005620
[1098/5000][360/535][113244] Loss_D: -0.021596 Loss_G: 0.017710 Loss_D_real: -0.028959 Loss_D_fake -0.007363
[1098/5000][365/535][113245] Loss_D: -0.021974 Loss_G: 0.001546 Loss_D_real: -0.017162 Loss_D_fake 0.004812
[1098/5000][370/535][113246] Loss_D: -0.023130 Loss_G: 0.014099 Loss_D_real: -0.014389 Loss_D_fake 0.008741
[1098/5000][375/535][113247] Loss_D: -0.021755 Loss_G: 0.021293 Loss_D_real: -0.026597 Loss_D_fake -0.004842
[1098/5000][380/535][113248] Loss_D: -0.022111 Loss_G: 0.026508 Loss_D_real: -0.026543 Loss_D_fake -0.004432
[1098/5000][385/535][113249] Loss_D: -0.021999 Loss_G: 0.013558 Loss_D_real: -0.016600 Loss_D_fake 0.005399
[1098/5000][390/535][113250] Loss_D: -0.022449 Loss_G: 0.015026 Loss_D_real: -0.020407 Loss_D_fake 0.002043
[1098/5000][395/535][113251] Loss_D: -0.021990 Loss_G: -0.002735 Loss_D_real: -0.022537 Loss_D_fake -0.000547
[1098/5000][400/535][113252] Loss_D: -0.021882 Loss_G: 0.024806 Loss_D_real: -0.035181 Loss_D_fake -0.013299
[1098/5000][405/535][113253] Loss_D: -0.021856 Loss_G: -0.002688 Loss_D_real: -0.011855 Loss_D_fake 0.010001
[1098/5000][410/535][113254] Loss_D: -0.021678 Loss_G: 0.013482 Loss_D_real: -0.016120 Loss_D_fake 0.005558
[1098/5000][415/535][113255] Loss_D: -0.019846 Loss_G: 0.012020 Loss_D_real: -0.033111 Loss_D_fake -0.013265
[1098/5000][420/535][113256] Loss_D: -0.021553 Loss_G: 0.008170 Loss_D_real: -0.018267 Loss_D_fake 0.003286
[1098/5000][425/535][113257] Loss_D: -0.021102 Loss_G: 0.019115 Loss_D_real: -0.033288 Loss_D_fake -0.012186
[1098/5000][430/535][113258] Loss_D: -0.022364 Loss_G: 0.000853 Loss_D_real: -0.016345 Loss_D_fake 0.006019
[1098/5000][435/535][113259] Loss_D: -0.021598 Loss_G: 0.004019 Loss_D_real: -0.012749 Loss_D_fake 0.008849
[1098/5000][440/535][113260] Loss_D: -0.021584 Loss_G: 0.019735 Loss_D_real: -0.017026 Loss_D_fake 0.004558
[1098/5000][445/535][113261] Loss_D: -0.020609 Loss_G: 0.002851 Loss_D_real: -0.021789 Loss_D_fake -0.001180
[1098/5000][450/535][113262] Loss_D: -0.021489 Loss_G: 0.015888 Loss_D_real: -0.023103 Loss_D_fake -0.001613
[1098/5000][455/535][113263] Loss_D: -0.021328 Loss_G: -0.023185 Loss_D_real: -0.002865 Loss_D_fake 0.018463
[1098/5000][460/535][113264] Loss_D: -0.021303 Loss_G: 0.004142 Loss_D_real: -0.006081 Loss_D_fake 0.015222
[1098/5000][465/535][113265] Loss_D: -0.021249 Loss_G: 0.006691 Loss_D_real: -0.014888 Loss_D_fake 0.006362
[1098/5000][470/535][113266] Loss_D: -0.021361 Loss_G: 0.005269 Loss_D_real: -0.006628 Loss_D_fake 0.014733
[1098/5000][475/535][113267] Loss_D: -0.023069 Loss_G: 0.023990 Loss_D_real: -0.023703 Loss_D_fake -0.000634
[1098/5000][480/535][113268] Loss_D: -0.021784 Loss_G: -0.007898 Loss_D_real: -0.012785 Loss_D_fake 0.008999
[1098/5000][485/535][113269] Loss_D: -0.022088 Loss_G: 0.014371 Loss_D_real: -0.021330 Loss_D_fake 0.000758
[1098/5000][490/535][113270] Loss_D: -0.020986 Loss_G: -0.002679 Loss_D_real: -0.017151 Loss_D_fake 0.003835
[1098/5000][495/535][113271] Loss_D: -0.021944 Loss_G: 0.009446 Loss_D_real: -0.010835 Loss_D_fake 0.011109
[1098/5000][500/535][113272] Loss_D: -0.021783 Loss_G: 0.008242 Loss_D_real: -0.018848 Loss_D_fake 0.002935
[1098/5000][505/535][113273] Loss_D: -0.021134 Loss_G: 0.004198 Loss_D_real: -0.008504 Loss_D_fake 0.012630
[1098/5000][510/535][113274] Loss_D: -0.020674 Loss_G: 0.022611 Loss_D_real: -0.030294 Loss_D_fake -0.009620
[1098/5000][515/535][113275] Loss_D: -0.020652 Loss_G: 0.016386 Loss_D_real: -0.020993 Loss_D_fake -0.000341
[1098/5000][520/535][113276] Loss_D: -0.020387 Loss_G: -0.008102 Loss_D_real: 0.002346 Loss_D_fake 0.022733
[1098/5000][525/535][113277] Loss_D: -0.021254 Loss_G: 0.007079 Loss_D_real: -0.025318 Loss_D_fake -0.004064
[1098/5000][530/535][113278] Loss_D: -0.020421 Loss_G: -0.007522 Loss_D_real: -0.009459 Loss_D_fake 0.010961
[1098/5000][535/535][113279] Loss_D: -0.021418 Loss_G: 0.010292 Loss_D_real: -0.012531 Loss_D_fake 0.008887
[1099/5000][5/535][113280] Loss_D: -0.022279 Loss_G: -0.001537 Loss_D_real: -0.022802 Loss_D_fake -0.000524
[1099/5000][10/535][113281] Loss_D: -0.019745 Loss_G: 0.015975 Loss_D_real: -0.032036 Loss_D_fake -0.012292
[1099/5000][15/535][113282] Loss_D: -0.021789 Loss_G: 0.009823 Loss_D_real: -0.030417 Loss_D_fake -0.008629
[1099/5000][20/535][113283] Loss_D: -0.023522 Loss_G: -0.003008 Loss_D_real: 0.005839 Loss_D_fake 0.029361
[1099/5000][25/535][113284] Loss_D: -0.021205 Loss_G: 0.006535 Loss_D_real: -0.021097 Loss_D_fake 0.000108
[1099/5000][30/535][113285] Loss_D: -0.021342 Loss_G: -0.000049 Loss_D_real: -0.010307 Loss_D_fake 0.011035
[1099/5000][35/535][113286] Loss_D: -0.022511 Loss_G: 0.015766 Loss_D_real: -0.017340 Loss_D_fake 0.005171
[1099/5000][40/535][113287] Loss_D: -0.021109 Loss_G: -0.004943 Loss_D_real: -0.009510 Loss_D_fake 0.011599
[1099/5000][45/535][113288] Loss_D: -0.022062 Loss_G: 0.015731 Loss_D_real: -0.016930 Loss_D_fake 0.005132
[1099/5000][50/535][113289] Loss_D: -0.021735 Loss_G: -0.011676 Loss_D_real: -0.004538 Loss_D_fake 0.017196
[1099/5000][55/535][113290] Loss_D: -0.020682 Loss_G: 0.022562 Loss_D_real: -0.037262 Loss_D_fake -0.016580
[1099/5000][60/535][113291] Loss_D: -0.022419 Loss_G: 0.010145 Loss_D_real: -0.026679 Loss_D_fake -0.004259
[1099/5000][65/535][113292] Loss_D: -0.021482 Loss_G: 0.011804 Loss_D_real: -0.025825 Loss_D_fake -0.004343
[1099/5000][70/535][113293] Loss_D: -0.021914 Loss_G: 0.009917 Loss_D_real: -0.025522 Loss_D_fake -0.003608
[1099/5000][75/535][113294] Loss_D: -0.022215 Loss_G: 0.016895 Loss_D_real: -0.022022 Loss_D_fake 0.000193
[1099/5000][80/535][113295] Loss_D: -0.020119 Loss_G: 0.006299 Loss_D_real: -0.022532 Loss_D_fake -0.002413
[1099/5000][85/535][113296] Loss_D: -0.023394 Loss_G: 0.000339 Loss_D_real: -0.015757 Loss_D_fake 0.007637
[1099/5000][90/535][113297] Loss_D: -0.022288 Loss_G: 0.010639 Loss_D_real: -0.012930 Loss_D_fake 0.009358
[1099/5000][95/535][113298] Loss_D: -0.021160 Loss_G: 0.003458 Loss_D_real: -0.017233 Loss_D_fake 0.003928
[1099/5000][100/535][113299] Loss_D: -0.021834 Loss_G: 0.014925 Loss_D_real: -0.023434 Loss_D_fake -0.001601
[1099/5000][105/535][113300] Loss_D: -0.021050 Loss_G: 0.003391 Loss_D_real: -0.005597 Loss_D_fake 0.015453
[1099/5000][110/535][113301] Loss_D: -0.021487 Loss_G: -0.001614 Loss_D_real: -0.001189 Loss_D_fake 0.020299
[1099/5000][115/535][113302] Loss_D: -0.023321 Loss_G: -0.007979 Loss_D_real: -0.012626 Loss_D_fake 0.010695
[1099/5000][120/535][113303] Loss_D: -0.021355 Loss_G: -0.007037 Loss_D_real: -0.010552 Loss_D_fake 0.010803
[1099/5000][125/535][113304] Loss_D: -0.022269 Loss_G: 0.001737 Loss_D_real: -0.009929 Loss_D_fake 0.012340
[1099/5000][130/535][113305] Loss_D: -0.022251 Loss_G: 0.014858 Loss_D_real: -0.015481 Loss_D_fake 0.006770
[1099/5000][135/535][113306] Loss_D: -0.022399 Loss_G: 0.001492 Loss_D_real: -0.032869 Loss_D_fake -0.010471
[1099/5000][140/535][113307] Loss_D: -0.021910 Loss_G: -0.010616 Loss_D_real: -0.003051 Loss_D_fake 0.018860
[1099/5000][145/535][113308] Loss_D: -0.021329 Loss_G: 0.012001 Loss_D_real: -0.017086 Loss_D_fake 0.004243
[1099/5000][150/535][113309] Loss_D: -0.021889 Loss_G: 0.018051 Loss_D_real: -0.030233 Loss_D_fake -0.008344
[1099/5000][155/535][113310] Loss_D: -0.021638 Loss_G: 0.011905 Loss_D_real: -0.017476 Loss_D_fake 0.004162
[1099/5000][160/535][113311] Loss_D: -0.021145 Loss_G: 0.005193 Loss_D_real: -0.024496 Loss_D_fake -0.003352
[1099/5000][165/535][113312] Loss_D: -0.020280 Loss_G: 0.026916 Loss_D_real: -0.032393 Loss_D_fake -0.012113
[1099/5000][170/535][113313] Loss_D: -0.020803 Loss_G: 0.013915 Loss_D_real: -0.022232 Loss_D_fake -0.001429
[1099/5000][175/535][113314] Loss_D: -0.022061 Loss_G: -0.006889 Loss_D_real: -0.012175 Loss_D_fake 0.009887
[1099/5000][180/535][113315] Loss_D: -0.021711 Loss_G: 0.009370 Loss_D_real: -0.019195 Loss_D_fake 0.002516
[1099/5000][185/535][113316] Loss_D: -0.021559 Loss_G: 0.004895 Loss_D_real: -0.007013 Loss_D_fake 0.014546
[1099/5000][190/535][113317] Loss_D: -0.021371 Loss_G: 0.007215 Loss_D_real: -0.015196 Loss_D_fake 0.006176
[1099/5000][195/535][113318] Loss_D: -0.022142 Loss_G: -0.017250 Loss_D_real: 0.004366 Loss_D_fake 0.026508
[1099/5000][200/535][113319] Loss_D: -0.022655 Loss_G: 0.023137 Loss_D_real: -0.014409 Loss_D_fake 0.008246
[1099/5000][205/535][113320] Loss_D: -0.022041 Loss_G: -0.005074 Loss_D_real: -0.015710 Loss_D_fake 0.006330
[1099/5000][210/535][113321] Loss_D: -0.023444 Loss_G: 0.015142 Loss_D_real: -0.027774 Loss_D_fake -0.004330
[1099/5000][215/535][113322] Loss_D: -0.021475 Loss_G: -0.015105 Loss_D_real: -0.009631 Loss_D_fake 0.011844
[1099/5000][220/535][113323] Loss_D: -0.021126 Loss_G: 0.003821 Loss_D_real: -0.022612 Loss_D_fake -0.001487
[1099/5000][225/535][113324] Loss_D: -0.020740 Loss_G: 0.003942 Loss_D_real: -0.004361 Loss_D_fake 0.016379
[1099/5000][230/535][113325] Loss_D: -0.021026 Loss_G: 0.011553 Loss_D_real: -0.022335 Loss_D_fake -0.001309
[1099/5000][235/535][113326] Loss_D: -0.021150 Loss_G: -0.002750 Loss_D_real: -0.001421 Loss_D_fake 0.019729
[1099/5000][240/535][113327] Loss_D: -0.021937 Loss_G: 0.013919 Loss_D_real: -0.015928 Loss_D_fake 0.006009
[1099/5000][245/535][113328] Loss_D: -0.021725 Loss_G: 0.014610 Loss_D_real: -0.028795 Loss_D_fake -0.007070
[1099/5000][250/535][113329] Loss_D: -0.021319 Loss_G: 0.006096 Loss_D_real: -0.008559 Loss_D_fake 0.012760
[1099/5000][255/535][113330] Loss_D: -0.021703 Loss_G: 0.006349 Loss_D_real: -0.018039 Loss_D_fake 0.003665
[1099/5000][260/535][113331] Loss_D: -0.020906 Loss_G: 0.009761 Loss_D_real: -0.032629 Loss_D_fake -0.011723
[1099/5000][265/535][113332] Loss_D: -0.021147 Loss_G: 0.001776 Loss_D_real: -0.007467 Loss_D_fake 0.013680
[1099/5000][270/535][113333] Loss_D: -0.021112 Loss_G: 0.000972 Loss_D_real: -0.019904 Loss_D_fake 0.001208
[1099/5000][275/535][113334] Loss_D: -0.022029 Loss_G: -0.001709 Loss_D_real: -0.027680 Loss_D_fake -0.005651
[1099/5000][280/535][113335] Loss_D: -0.020439 Loss_G: -0.010200 Loss_D_real: -0.008929 Loss_D_fake 0.011510
[1099/5000][285/535][113336] Loss_D: -0.020439 Loss_G: -0.006808 Loss_D_real: -0.001574 Loss_D_fake 0.018865
[1099/5000][290/535][113337] Loss_D: -0.023061 Loss_G: 0.008319 Loss_D_real: -0.012653 Loss_D_fake 0.010408
[1099/5000][295/535][113338] Loss_D: -0.021964 Loss_G: -0.003547 Loss_D_real: -0.000506 Loss_D_fake 0.021458
[1099/5000][300/535][113339] Loss_D: -0.022218 Loss_G: 0.001893 Loss_D_real: -0.008310 Loss_D_fake 0.013908
[1099/5000][305/535][113340] Loss_D: -0.021902 Loss_G: -0.005020 Loss_D_real: -0.011027 Loss_D_fake 0.010876
[1099/5000][310/535][113341] Loss_D: -0.021150 Loss_G: 0.026461 Loss_D_real: -0.023933 Loss_D_fake -0.002783
[1099/5000][315/535][113342] Loss_D: -0.021749 Loss_G: 0.025605 Loss_D_real: -0.028440 Loss_D_fake -0.006691
[1099/5000][320/535][113343] Loss_D: -0.021537 Loss_G: 0.006105 Loss_D_real: -0.022854 Loss_D_fake -0.001317
[1099/5000][325/535][113344] Loss_D: -0.021746 Loss_G: 0.005178 Loss_D_real: -0.032339 Loss_D_fake -0.010593
[1099/5000][330/535][113345] Loss_D: -0.022347 Loss_G: 0.004208 Loss_D_real: -0.011389 Loss_D_fake 0.010957
[1099/5000][335/535][113346] Loss_D: -0.022477 Loss_G: 0.010402 Loss_D_real: -0.015969 Loss_D_fake 0.006507
[1099/5000][340/535][113347] Loss_D: -0.022629 Loss_G: 0.010931 Loss_D_real: -0.015033 Loss_D_fake 0.007596
[1099/5000][345/535][113348] Loss_D: -0.021981 Loss_G: -0.015103 Loss_D_real: 0.006656 Loss_D_fake 0.028637
[1099/5000][350/535][113349] Loss_D: -0.023067 Loss_G: 0.000790 Loss_D_real: -0.020696 Loss_D_fake 0.002371
[1099/5000][355/535][113350] Loss_D: -0.021695 Loss_G: 0.008718 Loss_D_real: -0.010461 Loss_D_fake 0.011234
[1099/5000][360/535][113351] Loss_D: -0.022506 Loss_G: 0.020354 Loss_D_real: -0.021570 Loss_D_fake 0.000936
[1099/5000][365/535][113352] Loss_D: -0.021494 Loss_G: -0.007947 Loss_D_real: -0.007588 Loss_D_fake 0.013906
[1099/5000][370/535][113353] Loss_D: -0.021879 Loss_G: 0.019676 Loss_D_real: -0.028083 Loss_D_fake -0.006204
[1099/5000][375/535][113354] Loss_D: -0.021072 Loss_G: 0.003177 Loss_D_real: -0.014222 Loss_D_fake 0.006850
[1099/5000][380/535][113355] Loss_D: -0.022044 Loss_G: -0.021128 Loss_D_real: -0.008976 Loss_D_fake 0.013068
[1099/5000][385/535][113356] Loss_D: -0.021848 Loss_G: 0.011666 Loss_D_real: -0.022796 Loss_D_fake -0.000948
[1099/5000][390/535][113357] Loss_D: -0.022512 Loss_G: -0.004972 Loss_D_real: -0.000618 Loss_D_fake 0.021894
[1099/5000][395/535][113358] Loss_D: -0.022256 Loss_G: 0.001179 Loss_D_real: -0.026184 Loss_D_fake -0.003928
[1099/5000][400/535][113359] Loss_D: -0.021873 Loss_G: -0.015238 Loss_D_real: -0.008054 Loss_D_fake 0.013818
[1099/5000][405/535][113360] Loss_D: -0.021875 Loss_G: 0.006616 Loss_D_real: -0.010831 Loss_D_fake 0.011043
[1099/5000][410/535][113361] Loss_D: -0.021260 Loss_G: 0.008189 Loss_D_real: -0.024097 Loss_D_fake -0.002837
[1099/5000][415/535][113362] Loss_D: -0.022189 Loss_G: -0.002326 Loss_D_real: -0.003432 Loss_D_fake 0.018757
[1099/5000][420/535][113363] Loss_D: -0.022141 Loss_G: 0.006163 Loss_D_real: -0.023041 Loss_D_fake -0.000900
[1099/5000][425/535][113364] Loss_D: -0.022730 Loss_G: 0.000801 Loss_D_real: -0.016951 Loss_D_fake 0.005779
[1099/5000][430/535][113365] Loss_D: -0.023563 Loss_G: 0.012066 Loss_D_real: -0.015183 Loss_D_fake 0.008380
[1099/5000][435/535][113366] Loss_D: -0.021906 Loss_G: 0.005894 Loss_D_real: -0.018325 Loss_D_fake 0.003582
[1099/5000][440/535][113367] Loss_D: -0.021927 Loss_G: -0.003024 Loss_D_real: -0.016234 Loss_D_fake 0.005693
[1099/5000][445/535][113368] Loss_D: -0.022326 Loss_G: 0.006670 Loss_D_real: -0.017076 Loss_D_fake 0.005250
[1099/5000][450/535][113369] Loss_D: -0.023063 Loss_G: 0.002306 Loss_D_real: -0.014521 Loss_D_fake 0.008542
[1099/5000][455/535][113370] Loss_D: -0.020380 Loss_G: 0.033481 Loss_D_real: -0.035157 Loss_D_fake -0.014777
[1099/5000][460/535][113371] Loss_D: -0.022028 Loss_G: 0.007131 Loss_D_real: -0.017514 Loss_D_fake 0.004514
[1099/5000][465/535][113372] Loss_D: -0.021640 Loss_G: -0.009744 Loss_D_real: -0.007397 Loss_D_fake 0.014242
[1099/5000][470/535][113373] Loss_D: -0.022163 Loss_G: 0.016202 Loss_D_real: -0.019380 Loss_D_fake 0.002783
[1099/5000][475/535][113374] Loss_D: -0.021896 Loss_G: 0.010413 Loss_D_real: -0.019318 Loss_D_fake 0.002578
[1099/5000][480/535][113375] Loss_D: -0.020782 Loss_G: 0.005960 Loss_D_real: -0.016780 Loss_D_fake 0.004002
[1099/5000][485/535][113376] Loss_D: -0.022315 Loss_G: 0.002963 Loss_D_real: -0.008553 Loss_D_fake 0.013762
[1099/5000][490/535][113377] Loss_D: -0.020582 Loss_G: 0.024055 Loss_D_real: -0.044238 Loss_D_fake -0.023656
[1099/5000][495/535][113378] Loss_D: -0.021151 Loss_G: 0.014872 Loss_D_real: -0.027938 Loss_D_fake -0.006787
[1099/5000][500/535][113379] Loss_D: -0.021407 Loss_G: -0.008637 Loss_D_real: -0.016330 Loss_D_fake 0.005077
[1099/5000][505/535][113380] Loss_D: -0.021159 Loss_G: -0.005298 Loss_D_real: -0.006163 Loss_D_fake 0.014995
[1099/5000][510/535][113381] Loss_D: -0.020982 Loss_G: 0.003072 Loss_D_real: -0.018496 Loss_D_fake 0.002486
[1099/5000][515/535][113382] Loss_D: -0.019383 Loss_G: 0.023791 Loss_D_real: -0.030162 Loss_D_fake -0.010779
[1099/5000][520/535][113383] Loss_D: -0.019574 Loss_G: -0.006957 Loss_D_real: 0.001370 Loss_D_fake 0.020944
[1099/5000][525/535][113384] Loss_D: -0.020516 Loss_G: 0.018177 Loss_D_real: -0.020876 Loss_D_fake -0.000360
[1099/5000][530/535][113385] Loss_D: -0.020847 Loss_G: -0.003560 Loss_D_real: -0.014185 Loss_D_fake 0.006662
[1099/5000][535/535][113386] Loss_D: -0.024852 Loss_G: 0.021660 Loss_D_real: -0.017174 Loss_D_fake 0.007677
[1100/5000][5/535][113387] Loss_D: -0.022415 Loss_G: -0.005570 Loss_D_real: -0.013970 Loss_D_fake 0.008445
[1100/5000][10/535][113388] Loss_D: -0.020317 Loss_G: 0.035361 Loss_D_real: -0.031883 Loss_D_fake -0.011566
[1100/5000][15/535][113389] Loss_D: -0.021978 Loss_G: 0.007292 Loss_D_real: -0.032459 Loss_D_fake -0.010481
[1100/5000][20/535][113390] Loss_D: -0.021632 Loss_G: 0.023371 Loss_D_real: -0.024966 Loss_D_fake -0.003334
[1100/5000][25/535][113391] Loss_D: -0.021177 Loss_G: 0.005508 Loss_D_real: -0.012085 Loss_D_fake 0.009092
[1100/5000][30/535][113392] Loss_D: -0.020143 Loss_G: 0.016270 Loss_D_real: -0.022671 Loss_D_fake -0.002528
[1100/5000][35/535][113393] Loss_D: -0.022120 Loss_G: 0.011080 Loss_D_real: -0.017661 Loss_D_fake 0.004459
[1100/5000][40/535][113394] Loss_D: -0.020452 Loss_G: 0.019371 Loss_D_real: -0.036449 Loss_D_fake -0.015997
[1100/5000][45/535][113395] Loss_D: -0.021577 Loss_G: 0.018936 Loss_D_real: -0.021711 Loss_D_fake -0.000134
[1100/5000][50/535][113396] Loss_D: -0.022865 Loss_G: 0.001725 Loss_D_real: -0.025312 Loss_D_fake -0.002446
[1100/5000][55/535][113397] Loss_D: -0.022172 Loss_G: -0.002144 Loss_D_real: -0.015211 Loss_D_fake 0.006961
[1100/5000][60/535][113398] Loss_D: -0.020606 Loss_G: 0.023906 Loss_D_real: -0.036476 Loss_D_fake -0.015870
[1100/5000][65/535][113399] Loss_D: -0.021408 Loss_G: 0.015581 Loss_D_real: -0.013725 Loss_D_fake 0.007683
[1100/5000][70/535][113400] Loss_D: -0.020413 Loss_G: -0.012684 Loss_D_real: -0.000158 Loss_D_fake 0.020255
[1100/5000][75/535][113401] Loss_D: -0.021266 Loss_G: -0.004003 Loss_D_real: -0.010873 Loss_D_fake 0.010393
[1100/5000][80/535][113402] Loss_D: -0.021986 Loss_G: 0.023278 Loss_D_real: -0.015935 Loss_D_fake 0.006051
[1100/5000][85/535][113403] Loss_D: -0.021976 Loss_G: 0.003982 Loss_D_real: -0.010510 Loss_D_fake 0.011467
[1100/5000][90/535][113404] Loss_D: -0.021939 Loss_G: 0.016722 Loss_D_real: -0.022028 Loss_D_fake -0.000089
[1100/5000][95/535][113405] Loss_D: -0.021877 Loss_G: -0.004064 Loss_D_real: -0.014114 Loss_D_fake 0.007763
[1100/5000][100/535][113406] Loss_D: -0.021051 Loss_G: 0.004656 Loss_D_real: -0.010828 Loss_D_fake 0.010224
[1100/5000][105/535][113407] Loss_D: -0.020800 Loss_G: 0.013993 Loss_D_real: -0.026586 Loss_D_fake -0.005786
[1100/5000][110/535][113408] Loss_D: -0.021247 Loss_G: -0.015210 Loss_D_real: -0.002894 Loss_D_fake 0.018353
[1100/5000][115/535][113409] Loss_D: -0.019362 Loss_G: 0.019691 Loss_D_real: -0.020531 Loss_D_fake -0.001170
[1100/5000][120/535][113410] Loss_D: -0.021325 Loss_G: 0.009309 Loss_D_real: -0.013197 Loss_D_fake 0.008128
[1100/5000][125/535][113411] Loss_D: -0.021873 Loss_G: 0.005269 Loss_D_real: -0.016468 Loss_D_fake 0.005405
[1100/5000][130/535][113412] Loss_D: -0.021960 Loss_G: 0.006241 Loss_D_real: -0.019470 Loss_D_fake 0.002490
[1100/5000][135/535][113413] Loss_D: -0.020583 Loss_G: 0.009824 Loss_D_real: -0.013462 Loss_D_fake 0.007121
[1100/5000][140/535][113414] Loss_D: -0.020436 Loss_G: -0.016603 Loss_D_real: 0.002863 Loss_D_fake 0.023299
[1100/5000][145/535][113415] Loss_D: -0.020553 Loss_G: 0.003719 Loss_D_real: -0.015911 Loss_D_fake 0.004642
[1100/5000][150/535][113416] Loss_D: -0.021455 Loss_G: 0.004315 Loss_D_real: -0.018638 Loss_D_fake 0.002817
[1100/5000][155/535][113417] Loss_D: -0.019684 Loss_G: 0.030872 Loss_D_real: -0.030352 Loss_D_fake -0.010668
[1100/5000][160/535][113418] Loss_D: -0.022392 Loss_G: -0.002913 Loss_D_real: -0.011246 Loss_D_fake 0.011147
[1100/5000][165/535][113419] Loss_D: -0.020579 Loss_G: 0.020673 Loss_D_real: -0.020018 Loss_D_fake 0.000561
[1100/5000][170/535][113420] Loss_D: -0.022232 Loss_G: -0.006288 Loss_D_real: -0.014987 Loss_D_fake 0.007245
[1100/5000][175/535][113421] Loss_D: -0.022077 Loss_G: 0.018515 Loss_D_real: -0.027646 Loss_D_fake -0.005569
[1100/5000][180/535][113422] Loss_D: -0.022056 Loss_G: -0.008353 Loss_D_real: -0.023492 Loss_D_fake -0.001436
[1100/5000][185/535][113423] Loss_D: -0.022088 Loss_G: 0.013198 Loss_D_real: -0.018577 Loss_D_fake 0.003511
[1100/5000][190/535][113424] Loss_D: -0.021717 Loss_G: -0.003156 Loss_D_real: -0.021901 Loss_D_fake -0.000184
[1100/5000][195/535][113425] Loss_D: -0.020667 Loss_G: 0.006136 Loss_D_real: -0.027361 Loss_D_fake -0.006694
[1100/5000][200/535][113426] Loss_D: -0.020609 Loss_G: 0.006267 Loss_D_real: -0.014054 Loss_D_fake 0.006555
[1100/5000][205/535][113427] Loss_D: -0.020047 Loss_G: 0.011017 Loss_D_real: -0.026830 Loss_D_fake -0.006783
[1100/5000][210/535][113428] Loss_D: -0.021285 Loss_G: 0.021636 Loss_D_real: -0.019440 Loss_D_fake 0.001844
[1100/5000][215/535][113429] Loss_D: -0.022909 Loss_G: 0.000451 Loss_D_real: -0.014393 Loss_D_fake 0.008516
[1100/5000][220/535][113430] Loss_D: -0.020973 Loss_G: 0.020680 Loss_D_real: -0.023108 Loss_D_fake -0.002136
[1100/5000][225/535][113431] Loss_D: -0.021221 Loss_G: 0.000371 Loss_D_real: -0.019755 Loss_D_fake 0.001466
[1100/5000][230/535][113432] Loss_D: -0.020380 Loss_G: 0.020981 Loss_D_real: -0.025003 Loss_D_fake -0.004623
[1100/5000][235/535][113433] Loss_D: -0.022159 Loss_G: 0.009871 Loss_D_real: -0.016377 Loss_D_fake 0.005782
[1100/5000][240/535][113434] Loss_D: -0.020922 Loss_G: 0.015456 Loss_D_real: -0.030535 Loss_D_fake -0.009613
[1100/5000][245/535][113435] Loss_D: -0.021783 Loss_G: 0.016385 Loss_D_real: -0.021771 Loss_D_fake 0.000012
[1100/5000][250/535][113436] Loss_D: -0.022902 Loss_G: 0.019216 Loss_D_real: -0.031329 Loss_D_fake -0.008426
[1100/5000][255/535][113437] Loss_D: -0.020128 Loss_G: -0.002998 Loss_D_real: 0.003096 Loss_D_fake 0.023224
[1100/5000][260/535][113438] Loss_D: -0.022165 Loss_G: 0.013666 Loss_D_real: -0.028383 Loss_D_fake -0.006218
[1100/5000][265/535][113439] Loss_D: -0.021895 Loss_G: 0.003187 Loss_D_real: -0.018184 Loss_D_fake 0.003712
[1100/5000][270/535][113440] Loss_D: -0.023644 Loss_G: 0.006095 Loss_D_real: -0.012211 Loss_D_fake 0.011433
[1100/5000][275/535][113441] Loss_D: -0.021160 Loss_G: 0.021312 Loss_D_real: -0.027843 Loss_D_fake -0.006684
[1100/5000][280/535][113442] Loss_D: -0.021988 Loss_G: 0.003182 Loss_D_real: -0.012685 Loss_D_fake 0.009303
[1100/5000][285/535][113443] Loss_D: -0.020208 Loss_G: 0.002590 Loss_D_real: -0.021543 Loss_D_fake -0.001336
[1100/5000][290/535][113444] Loss_D: -0.022444 Loss_G: 0.007047 Loss_D_real: -0.037154 Loss_D_fake -0.014710
[1100/5000][295/535][113445] Loss_D: -0.022250 Loss_G: 0.011846 Loss_D_real: -0.029025 Loss_D_fake -0.006775
[1100/5000][300/535][113446] Loss_D: -0.021409 Loss_G: 0.022426 Loss_D_real: -0.028907 Loss_D_fake -0.007498
[1100/5000][305/535][113447] Loss_D: -0.020854 Loss_G: 0.014688 Loss_D_real: -0.013184 Loss_D_fake 0.007670
[1100/5000][310/535][113448] Loss_D: -0.021967 Loss_G: 0.005287 Loss_D_real: -0.015210 Loss_D_fake 0.006757
[1100/5000][315/535][113449] Loss_D: -0.021439 Loss_G: 0.006900 Loss_D_real: -0.016659 Loss_D_fake 0.004781
[1100/5000][320/535][113450] Loss_D: -0.020837 Loss_G: -0.006879 Loss_D_real: -0.018789 Loss_D_fake 0.002048
[1100/5000][325/535][113451] Loss_D: -0.020632 Loss_G: 0.009705 Loss_D_real: -0.028755 Loss_D_fake -0.008123
[1100/5000][330/535][113452] Loss_D: -0.020805 Loss_G: 0.006297 Loss_D_real: -0.024825 Loss_D_fake -0.004020
[1100/5000][335/535][113453] Loss_D: -0.021119 Loss_G: 0.000532 Loss_D_real: -0.016422 Loss_D_fake 0.004697
[1100/5000][340/535][113454] Loss_D: -0.021733 Loss_G: 0.023088 Loss_D_real: -0.026580 Loss_D_fake -0.004847
[1100/5000][345/535][113455] Loss_D: -0.020863 Loss_G: 0.008141 Loss_D_real: -0.015312 Loss_D_fake 0.005551
[1100/5000][350/535][113456] Loss_D: -0.021498 Loss_G: -0.002566 Loss_D_real: -0.013509 Loss_D_fake 0.007989
[1100/5000][355/535][113457] Loss_D: -0.021546 Loss_G: 0.003072 Loss_D_real: -0.014088 Loss_D_fake 0.007458
[1100/5000][360/535][113458] Loss_D: -0.021619 Loss_G: 0.010204 Loss_D_real: -0.017528 Loss_D_fake 0.004090
[1100/5000][365/535][113459] Loss_D: -0.021643 Loss_G: -0.011388 Loss_D_real: -0.009549 Loss_D_fake 0.012095
[1100/5000][370/535][113460] Loss_D: -0.020463 Loss_G: 0.002155 Loss_D_real: -0.024478 Loss_D_fake -0.004015
[1100/5000][375/535][113461] Loss_D: -0.021852 Loss_G: 0.007884 Loss_D_real: -0.006553 Loss_D_fake 0.015299
[1100/5000][380/535][113462] Loss_D: -0.020248 Loss_G: 0.009852 Loss_D_real: -0.015022 Loss_D_fake 0.005226
[1100/5000][385/535][113463] Loss_D: -0.021662 Loss_G: -0.011425 Loss_D_real: -0.003444 Loss_D_fake 0.018219
[1100/5000][390/535][113464] Loss_D: -0.020875 Loss_G: -0.009627 Loss_D_real: 0.001403 Loss_D_fake 0.022277
[1100/5000][395/535][113465] Loss_D: -0.020892 Loss_G: 0.012963 Loss_D_real: -0.021827 Loss_D_fake -0.000935
[1100/5000][400/535][113466] Loss_D: -0.021550 Loss_G: 0.007241 Loss_D_real: -0.007741 Loss_D_fake 0.013809
[1100/5000][405/535][113467] Loss_D: -0.020150 Loss_G: -0.010776 Loss_D_real: 0.007698 Loss_D_fake 0.027848
[1100/5000][410/535][113468] Loss_D: -0.019690 Loss_G: 0.018298 Loss_D_real: -0.029414 Loss_D_fake -0.009724
[1100/5000][415/535][113469] Loss_D: -0.021042 Loss_G: -0.003918 Loss_D_real: -0.008011 Loss_D_fake 0.013031
[1100/5000][420/535][113470] Loss_D: -0.020299 Loss_G: 0.018204 Loss_D_real: -0.030068 Loss_D_fake -0.009769
[1100/5000][425/535][113471] Loss_D: -0.021653 Loss_G: -0.010336 Loss_D_real: -0.009109 Loss_D_fake 0.012545
[1100/5000][430/535][113472] Loss_D: -0.022451 Loss_G: 0.007430 Loss_D_real: -0.010274 Loss_D_fake 0.012177
[1100/5000][435/535][113473] Loss_D: -0.021127 Loss_G: 0.000423 Loss_D_real: -0.013695 Loss_D_fake 0.007432
[1100/5000][440/535][113474] Loss_D: -0.020961 Loss_G: 0.010890 Loss_D_real: -0.023898 Loss_D_fake -0.002936
[1100/5000][445/535][113475] Loss_D: -0.021547 Loss_G: -0.000043 Loss_D_real: -0.016832 Loss_D_fake 0.004715
[1100/5000][450/535][113476] Loss_D: -0.022510 Loss_G: 0.006644 Loss_D_real: -0.007147 Loss_D_fake 0.015364
[1100/5000][455/535][113477] Loss_D: -0.020849 Loss_G: -0.005331 Loss_D_real: -0.005986 Loss_D_fake 0.014863
[1100/5000][460/535][113478] Loss_D: -0.020819 Loss_G: 0.002601 Loss_D_real: -0.020867 Loss_D_fake -0.000049
[1100/5000][465/535][113479] Loss_D: -0.024059 Loss_G: 0.014781 Loss_D_real: -0.028091 Loss_D_fake -0.004032
[1100/5000][470/535][113480] Loss_D: -0.020814 Loss_G: 0.003552 Loss_D_real: -0.010589 Loss_D_fake 0.010226
[1100/5000][475/535][113481] Loss_D: -0.023495 Loss_G: 0.005183 Loss_D_real: -0.013934 Loss_D_fake 0.009561
[1100/5000][480/535][113482] Loss_D: -0.022763 Loss_G: 0.001608 Loss_D_real: -0.017700 Loss_D_fake 0.005063
[1100/5000][485/535][113483] Loss_D: -0.021216 Loss_G: 0.014377 Loss_D_real: -0.019705 Loss_D_fake 0.001511
[1100/5000][490/535][113484] Loss_D: -0.021545 Loss_G: -0.002632 Loss_D_real: -0.009043 Loss_D_fake 0.012503
[1100/5000][495/535][113485] Loss_D: -0.022111 Loss_G: 0.006450 Loss_D_real: -0.025918 Loss_D_fake -0.003807
[1100/5000][500/535][113486] Loss_D: -0.022094 Loss_G: 0.023035 Loss_D_real: -0.023471 Loss_D_fake -0.001377
[1100/5000][505/535][113487] Loss_D: -0.021051 Loss_G: 0.007144 Loss_D_real: -0.008677 Loss_D_fake 0.012374
[1100/5000][510/535][113488] Loss_D: -0.019986 Loss_G: -0.009092 Loss_D_real: -0.001538 Loss_D_fake 0.018448
[1100/5000][515/535][113489] Loss_D: -0.020864 Loss_G: 0.000075 Loss_D_real: -0.010948 Loss_D_fake 0.009916
[1100/5000][520/535][113490] Loss_D: -0.019392 Loss_G: 0.040610 Loss_D_real: -0.040116 Loss_D_fake -0.020723
[1100/5000][525/535][113491] Loss_D: -0.021275 Loss_G: 0.003098 Loss_D_real: -0.015085 Loss_D_fake 0.006190
[1100/5000][530/535][113492] Loss_D: -0.021714 Loss_G: -0.008041 Loss_D_real: -0.007791 Loss_D_fake 0.013923
[1100/5000][535/535][113493] Loss_D: -0.019306 Loss_G: -0.033480 Loss_D_real: -0.006405 Loss_D_fake 0.012901
[1101/5000][5/535][113494] Loss_D: -0.021939 Loss_G: 0.028207 Loss_D_real: -0.020930 Loss_D_fake 0.001009
[1101/5000][10/535][113495] Loss_D: -0.020908 Loss_G: 0.013480 Loss_D_real: -0.014206 Loss_D_fake 0.006703
[1101/5000][15/535][113496] Loss_D: -0.021435 Loss_G: -0.008234 Loss_D_real: -0.002696 Loss_D_fake 0.018739
[1101/5000][20/535][113497] Loss_D: -0.021490 Loss_G: 0.006932 Loss_D_real: -0.026369 Loss_D_fake -0.004879
[1101/5000][25/535][113498] Loss_D: -0.021318 Loss_G: -0.016996 Loss_D_real: -0.002927 Loss_D_fake 0.018391
[1101/5000][30/535][113499] Loss_D: -0.021406 Loss_G: 0.008832 Loss_D_real: -0.020792 Loss_D_fake 0.000614
[1101/5000][35/535][113500] Loss_D: -0.022467 Loss_G: 0.014122 Loss_D_real: -0.011779 Loss_D_fake 0.010688
[1101/5000][135/535][113501] Loss_D: -0.025922 Loss_G: 0.016570 Loss_D_real: -0.027990 Loss_D_fake -0.002068
[1101/5000][140/535][113502] Loss_D: -0.021884 Loss_G: 0.014336 Loss_D_real: -0.013831 Loss_D_fake 0.008053
[1101/5000][145/535][113503] Loss_D: -0.020477 Loss_G: 0.000271 Loss_D_real: -0.019568 Loss_D_fake 0.000909
[1101/5000][150/535][113504] Loss_D: -0.020199 Loss_G: 0.019511 Loss_D_real: -0.033086 Loss_D_fake -0.012886
[1101/5000][155/535][113505] Loss_D: -0.021428 Loss_G: -0.000266 Loss_D_real: -0.020179 Loss_D_fake 0.001249
[1101/5000][160/535][113506] Loss_D: -0.021001 Loss_G: 0.019361 Loss_D_real: -0.019495 Loss_D_fake 0.001506
[1101/5000][165/535][113507] Loss_D: -0.021358 Loss_G: -0.001835 Loss_D_real: -0.017546 Loss_D_fake 0.003812
[1101/5000][170/535][113508] Loss_D: -0.021751 Loss_G: -0.000522 Loss_D_real: -0.028436 Loss_D_fake -0.006685
[1101/5000][175/535][113509] Loss_D: -0.020551 Loss_G: 0.001619 Loss_D_real: -0.012561 Loss_D_fake 0.007990
[1101/5000][180/535][113510] Loss_D: -0.021032 Loss_G: 0.007365 Loss_D_real: -0.008640 Loss_D_fake 0.012392
[1101/5000][185/535][113511] Loss_D: -0.020400 Loss_G: 0.010100 Loss_D_real: -0.020726 Loss_D_fake -0.000326
[1101/5000][190/535][113512] Loss_D: -0.020593 Loss_G: 0.008647 Loss_D_real: -0.032162 Loss_D_fake -0.011569
[1101/5000][195/535][113513] Loss_D: -0.020282 Loss_G: -0.019997 Loss_D_real: -0.013399 Loss_D_fake 0.006883
[1101/5000][200/535][113514] Loss_D: -0.021222 Loss_G: 0.012858 Loss_D_real: -0.016315 Loss_D_fake 0.004907
[1101/5000][205/535][113515] Loss_D: -0.021016 Loss_G: -0.002816 Loss_D_real: -0.013426 Loss_D_fake 0.007590
[1101/5000][210/535][113516] Loss_D: -0.020679 Loss_G: 0.005036 Loss_D_real: -0.017058 Loss_D_fake 0.003621
[1101/5000][215/535][113517] Loss_D: -0.021471 Loss_G: -0.004794 Loss_D_real: -0.008641 Loss_D_fake 0.012830
[1101/5000][220/535][113518] Loss_D: -0.019753 Loss_G: 0.019130 Loss_D_real: -0.004462 Loss_D_fake 0.015292
[1101/5000][225/535][113519] Loss_D: -0.020258 Loss_G: 0.008828 Loss_D_real: -0.008914 Loss_D_fake 0.011344
[1101/5000][230/535][113520] Loss_D: -0.022177 Loss_G: 0.013041 Loss_D_real: -0.014364 Loss_D_fake 0.007814
[1101/5000][235/535][113521] Loss_D: -0.021038 Loss_G: 0.010873 Loss_D_real: -0.018696 Loss_D_fake 0.002342
[1101/5000][240/535][113522] Loss_D: -0.020209 Loss_G: 0.000064 Loss_D_real: -0.014427 Loss_D_fake 0.005782
[1101/5000][245/535][113523] Loss_D: -0.021111 Loss_G: 0.030213 Loss_D_real: -0.034828 Loss_D_fake -0.013717
[1101/5000][250/535][113524] Loss_D: -0.022420 Loss_G: 0.014253 Loss_D_real: -0.032294 Loss_D_fake -0.009874
[1101/5000][255/535][113525] Loss_D: -0.022537 Loss_G: -0.011690 Loss_D_real: -0.000858 Loss_D_fake 0.021678
[1101/5000][260/535][113526] Loss_D: -0.019382 Loss_G: 0.022285 Loss_D_real: -0.027404 Loss_D_fake -0.008021
[1101/5000][265/535][113527] Loss_D: -0.022089 Loss_G: 0.012494 Loss_D_real: -0.013603 Loss_D_fake 0.008486
[1101/5000][270/535][113528] Loss_D: -0.020996 Loss_G: 0.017269 Loss_D_real: -0.022985 Loss_D_fake -0.001989
[1101/5000][275/535][113529] Loss_D: -0.021295 Loss_G: -0.011925 Loss_D_real: -0.021048 Loss_D_fake 0.000246
[1101/5000][280/535][113530] Loss_D: -0.019163 Loss_G: 0.035728 Loss_D_real: -0.030684 Loss_D_fake -0.011521
[1101/5000][285/535][113531] Loss_D: -0.021730 Loss_G: 0.008849 Loss_D_real: -0.015244 Loss_D_fake 0.006486
[1101/5000][290/535][113532] Loss_D: -0.020795 Loss_G: 0.017411 Loss_D_real: -0.035328 Loss_D_fake -0.014533
[1101/5000][295/535][113533] Loss_D: -0.021131 Loss_G: 0.011804 Loss_D_real: -0.014851 Loss_D_fake 0.006279
[1101/5000][300/535][113534] Loss_D: -0.022150 Loss_G: 0.015985 Loss_D_real: -0.016006 Loss_D_fake 0.006144
[1101/5000][305/535][113535] Loss_D: -0.022026 Loss_G: 0.022011 Loss_D_real: -0.035434 Loss_D_fake -0.013407
[1101/5000][310/535][113536] Loss_D: -0.022506 Loss_G: 0.011495 Loss_D_real: -0.025112 Loss_D_fake -0.002606
[1101/5000][315/535][113537] Loss_D: -0.022363 Loss_G: -0.008269 Loss_D_real: -0.012571 Loss_D_fake 0.009792
[1101/5000][320/535][113538] Loss_D: -0.020888 Loss_G: 0.003907 Loss_D_real: -0.014940 Loss_D_fake 0.005948
[1101/5000][325/535][113539] Loss_D: -0.020616 Loss_G: -0.011262 Loss_D_real: -0.005305 Loss_D_fake 0.015311
[1101/5000][330/535][113540] Loss_D: -0.021749 Loss_G: 0.022070 Loss_D_real: -0.029606 Loss_D_fake -0.007857
[1101/5000][335/535][113541] Loss_D: -0.020316 Loss_G: 0.017650 Loss_D_real: -0.022147 Loss_D_fake -0.001831
[1101/5000][340/535][113542] Loss_D: -0.020553 Loss_G: 0.021379 Loss_D_real: -0.033246 Loss_D_fake -0.012694
[1101/5000][345/535][113543] Loss_D: -0.022081 Loss_G: -0.003342 Loss_D_real: -0.001875 Loss_D_fake 0.020205
[1101/5000][350/535][113544] Loss_D: -0.022116 Loss_G: 0.008995 Loss_D_real: -0.012857 Loss_D_fake 0.009259
[1101/5000][355/535][113545] Loss_D: -0.021484 Loss_G: 0.005139 Loss_D_real: -0.016570 Loss_D_fake 0.004914
[1101/5000][360/535][113546] Loss_D: -0.021460 Loss_G: 0.003776 Loss_D_real: -0.016893 Loss_D_fake 0.004567
[1101/5000][365/535][113547] Loss_D: -0.019872 Loss_G: 0.032742 Loss_D_real: -0.030367 Loss_D_fake -0.010496
[1101/5000][370/535][113548] Loss_D: -0.021504 Loss_G: -0.012467 Loss_D_real: -0.022193 Loss_D_fake -0.000688
[1101/5000][375/535][113549] Loss_D: -0.021046 Loss_G: 0.018931 Loss_D_real: -0.022981 Loss_D_fake -0.001935
[1101/5000][380/535][113550] Loss_D: -0.020738 Loss_G: -0.000017 Loss_D_real: -0.014438 Loss_D_fake 0.006300
[1101/5000][385/535][113551] Loss_D: -0.022878 Loss_G: -0.002538 Loss_D_real: -0.017281 Loss_D_fake 0.005597
[1101/5000][390/535][113552] Loss_D: -0.021433 Loss_G: 0.010507 Loss_D_real: -0.027428 Loss_D_fake -0.005995
[1101/5000][395/535][113553] Loss_D: -0.021466 Loss_G: -0.006862 Loss_D_real: -0.011610 Loss_D_fake 0.009857
[1101/5000][400/535][113554] Loss_D: -0.021651 Loss_G: 0.016518 Loss_D_real: -0.025881 Loss_D_fake -0.004230
[1101/5000][405/535][113555] Loss_D: -0.021534 Loss_G: 0.008009 Loss_D_real: -0.020298 Loss_D_fake 0.001236
[1101/5000][410/535][113556] Loss_D: -0.021010 Loss_G: 0.008608 Loss_D_real: -0.014451 Loss_D_fake 0.006560
[1101/5000][415/535][113557] Loss_D: -0.022096 Loss_G: 0.012518 Loss_D_real: -0.022962 Loss_D_fake -0.000867
[1101/5000][420/535][113558] Loss_D: -0.021540 Loss_G: -0.004379 Loss_D_real: -0.013530 Loss_D_fake 0.008010
[1101/5000][425/535][113559] Loss_D: -0.021790 Loss_G: 0.002704 Loss_D_real: -0.016868 Loss_D_fake 0.004922
[1101/5000][430/535][113560] Loss_D: -0.022349 Loss_G: 0.005794 Loss_D_real: -0.016958 Loss_D_fake 0.005391
[1101/5000][435/535][113561] Loss_D: -0.020031 Loss_G: 0.011936 Loss_D_real: -0.022794 Loss_D_fake -0.002763
[1101/5000][440/535][113562] Loss_D: -0.021357 Loss_G: -0.000159 Loss_D_real: -0.010758 Loss_D_fake 0.010599
[1101/5000][445/535][113563] Loss_D: -0.022113 Loss_G: 0.009203 Loss_D_real: -0.027163 Loss_D_fake -0.005049
[1101/5000][450/535][113564] Loss_D: -0.022053 Loss_G: 0.002004 Loss_D_real: -0.008370 Loss_D_fake 0.013683
[1101/5000][455/535][113565] Loss_D: -0.022442 Loss_G: 0.021955 Loss_D_real: -0.027294 Loss_D_fake -0.004852
[1101/5000][460/535][113566] Loss_D: -0.022303 Loss_G: 0.009558 Loss_D_real: -0.027476 Loss_D_fake -0.005173
[1101/5000][465/535][113567] Loss_D: -0.021737 Loss_G: 0.000900 Loss_D_real: -0.006095 Loss_D_fake 0.015642
[1101/5000][470/535][113568] Loss_D: -0.022143 Loss_G: 0.015322 Loss_D_real: -0.021900 Loss_D_fake 0.000243
[1101/5000][475/535][113569] Loss_D: -0.021854 Loss_G: 0.011335 Loss_D_real: -0.013609 Loss_D_fake 0.008244
[1101/5000][480/535][113570] Loss_D: -0.020537 Loss_G: -0.008971 Loss_D_real: -0.006219 Loss_D_fake 0.014318
[1101/5000][485/535][113571] Loss_D: -0.021049 Loss_G: 0.003071 Loss_D_real: -0.006205 Loss_D_fake 0.014844
[1101/5000][490/535][113572] Loss_D: -0.021011 Loss_G: 0.005329 Loss_D_real: -0.002862 Loss_D_fake 0.018150
[1101/5000][495/535][113573] Loss_D: -0.021766 Loss_G: 0.017487 Loss_D_real: -0.027359 Loss_D_fake -0.005593
[1101/5000][500/535][113574] Loss_D: -0.021560 Loss_G: 0.004500 Loss_D_real: -0.018126 Loss_D_fake 0.003434
[1101/5000][505/535][113575] Loss_D: -0.022320 Loss_G: -0.003351 Loss_D_real: -0.002069 Loss_D_fake 0.020251
[1101/5000][510/535][113576] Loss_D: -0.019250 Loss_G: 0.020779 Loss_D_real: -0.031970 Loss_D_fake -0.012719
[1101/5000][515/535][113577] Loss_D: -0.021943 Loss_G: 0.012026 Loss_D_real: -0.014218 Loss_D_fake 0.007725
[1101/5000][520/535][113578] Loss_D: -0.022352 Loss_G: -0.023980 Loss_D_real: -0.003962 Loss_D_fake 0.018390
[1101/5000][525/535][113579] Loss_D: -0.021410 Loss_G: 0.011405 Loss_D_real: -0.020081 Loss_D_fake 0.001329
[1101/5000][530/535][113580] Loss_D: -0.021687 Loss_G: 0.011245 Loss_D_real: -0.016711 Loss_D_fake 0.004976
[1101/5000][535/535][113581] Loss_D: -0.022997 Loss_G: 0.041658 Loss_D_real: -0.025742 Loss_D_fake -0.002745
[1102/5000][5/535][113582] Loss_D: -0.022225 Loss_G: 0.004194 Loss_D_real: -0.020392 Loss_D_fake 0.001833
[1102/5000][10/535][113583] Loss_D: -0.020835 Loss_G: 0.002712 Loss_D_real: -0.017672 Loss_D_fake 0.003163
[1102/5000][15/535][113584] Loss_D: -0.020679 Loss_G: 0.010976 Loss_D_real: -0.022650 Loss_D_fake -0.001971
[1102/5000][20/535][113585] Loss_D: -0.021909 Loss_G: 0.006944 Loss_D_real: -0.013667 Loss_D_fake 0.008241
[1102/5000][25/535][113586] Loss_D: -0.022415 Loss_G: -0.003902 Loss_D_real: -0.017477 Loss_D_fake 0.004938
[1102/5000][30/535][113587] Loss_D: -0.021257 Loss_G: 0.011005 Loss_D_real: -0.029306 Loss_D_fake -0.008049
[1102/5000][35/535][113588] Loss_D: -0.020849 Loss_G: 0.020502 Loss_D_real: -0.028731 Loss_D_fake -0.007882
[1102/5000][40/535][113589] Loss_D: -0.019765 Loss_G: -0.001752 Loss_D_real: -0.025533 Loss_D_fake -0.005768
[1102/5000][45/535][113590] Loss_D: -0.021238 Loss_G: 0.008119 Loss_D_real: -0.023762 Loss_D_fake -0.002524
[1102/5000][50/535][113591] Loss_D: -0.022007 Loss_G: 0.013344 Loss_D_real: -0.024350 Loss_D_fake -0.002343
[1102/5000][55/535][113592] Loss_D: -0.020717 Loss_G: 0.003731 Loss_D_real: -0.014898 Loss_D_fake 0.005819
[1102/5000][60/535][113593] Loss_D: -0.020692 Loss_G: 0.005302 Loss_D_real: -0.019268 Loss_D_fake 0.001424
[1102/5000][65/535][113594] Loss_D: -0.020430 Loss_G: 0.016810 Loss_D_real: -0.019113 Loss_D_fake 0.001318
[1102/5000][70/535][113595] Loss_D: -0.020626 Loss_G: 0.019247 Loss_D_real: -0.038184 Loss_D_fake -0.017558
[1102/5000][75/535][113596] Loss_D: -0.020341 Loss_G: 0.010748 Loss_D_real: -0.011552 Loss_D_fake 0.008789
[1102/5000][80/535][113597] Loss_D: -0.020410 Loss_G: 0.025043 Loss_D_real: -0.024711 Loss_D_fake -0.004301
[1102/5000][85/535][113598] Loss_D: -0.021555 Loss_G: 0.004253 Loss_D_real: -0.016764 Loss_D_fake 0.004791
[1102/5000][90/535][113599] Loss_D: -0.021593 Loss_G: 0.012664 Loss_D_real: -0.012552 Loss_D_fake 0.009041
[1102/5000][95/535][113600] Loss_D: -0.021631 Loss_G: -0.015653 Loss_D_real: -0.002769 Loss_D_fake 0.018863
[1102/5000][100/535][113601] Loss_D: -0.020911 Loss_G: 0.014062 Loss_D_real: -0.028056 Loss_D_fake -0.007145
[1102/5000][105/535][113602] Loss_D: -0.019811 Loss_G: 0.019224 Loss_D_real: -0.029238 Loss_D_fake -0.009427
[1102/5000][110/535][113603] Loss_D: -0.019777 Loss_G: 0.020855 Loss_D_real: -0.032501 Loss_D_fake -0.012724
[1102/5000][115/535][113604] Loss_D: -0.023038 Loss_G: 0.007089 Loss_D_real: -0.008956 Loss_D_fake 0.014082
[1102/5000][120/535][113605] Loss_D: -0.022473 Loss_G: -0.004260 Loss_D_real: -0.017582 Loss_D_fake 0.004891
[1102/5000][125/535][113606] Loss_D: -0.023096 Loss_G: 0.004959 Loss_D_real: -0.008975 Loss_D_fake 0.014121
[1102/5000][130/535][113607] Loss_D: -0.022659 Loss_G: -0.008919 Loss_D_real: -0.004947 Loss_D_fake 0.017712
[1102/5000][135/535][113608] Loss_D: -0.021629 Loss_G: 0.018335 Loss_D_real: -0.020956 Loss_D_fake 0.000674
[1102/5000][140/535][113609] Loss_D: -0.021617 Loss_G: 0.019769 Loss_D_real: -0.028375 Loss_D_fake -0.006758
[1102/5000][145/535][113610] Loss_D: -0.021227 Loss_G: 0.015313 Loss_D_real: -0.022978 Loss_D_fake -0.001751
[1102/5000][150/535][113611] Loss_D: -0.021948 Loss_G: 0.004381 Loss_D_real: -0.016169 Loss_D_fake 0.005779
[1102/5000][155/535][113612] Loss_D: -0.020946 Loss_G: -0.013537 Loss_D_real: -0.008393 Loss_D_fake 0.012553
[1102/5000][160/535][113613] Loss_D: -0.021206 Loss_G: 0.008995 Loss_D_real: -0.010174 Loss_D_fake 0.011032
[1102/5000][165/535][113614] Loss_D: -0.022865 Loss_G: -0.006317 Loss_D_real: -0.002571 Loss_D_fake 0.020293
[1102/5000][170/535][113615] Loss_D: -0.021738 Loss_G: 0.023747 Loss_D_real: -0.020315 Loss_D_fake 0.001423
[1102/5000][175/535][113616] Loss_D: -0.021578 Loss_G: -0.011822 Loss_D_real: -0.005991 Loss_D_fake 0.015587
[1102/5000][180/535][113617] Loss_D: -0.022099 Loss_G: 0.010082 Loss_D_real: -0.025122 Loss_D_fake -0.003023
[1102/5000][185/535][113618] Loss_D: -0.018991 Loss_G: 0.019539 Loss_D_real: -0.021066 Loss_D_fake -0.002075
[1102/5000][190/535][113619] Loss_D: -0.020614 Loss_G: -0.005792 Loss_D_real: -0.006613 Loss_D_fake 0.014001
[1102/5000][195/535][113620] Loss_D: -0.021127 Loss_G: 0.013862 Loss_D_real: -0.022911 Loss_D_fake -0.001784
[1102/5000][200/535][113621] Loss_D: -0.021384 Loss_G: 0.003326 Loss_D_real: -0.015984 Loss_D_fake 0.005400
[1102/5000][205/535][113622] Loss_D: -0.019077 Loss_G: 0.016078 Loss_D_real: -0.024723 Loss_D_fake -0.005646
[1102/5000][210/535][113623] Loss_D: -0.021854 Loss_G: -0.005289 Loss_D_real: -0.012837 Loss_D_fake 0.009017
[1102/5000][215/535][113624] Loss_D: -0.021594 Loss_G: 0.010825 Loss_D_real: -0.024107 Loss_D_fake -0.002513
[1102/5000][220/535][113625] Loss_D: -0.022636 Loss_G: 0.010853 Loss_D_real: -0.011216 Loss_D_fake 0.011420
[1102/5000][225/535][113626] Loss_D: -0.020036 Loss_G: -0.011844 Loss_D_real: -0.005673 Loss_D_fake 0.014363
[1102/5000][230/535][113627] Loss_D: -0.021797 Loss_G: 0.008277 Loss_D_real: -0.038159 Loss_D_fake -0.016362
[1102/5000][235/535][113628] Loss_D: -0.021691 Loss_G: 0.004391 Loss_D_real: -0.029630 Loss_D_fake -0.007939
[1102/5000][240/535][113629] Loss_D: -0.021432 Loss_G: 0.024443 Loss_D_real: -0.028899 Loss_D_fake -0.007467
[1102/5000][245/535][113630] Loss_D: -0.021717 Loss_G: -0.002164 Loss_D_real: -0.000466 Loss_D_fake 0.021251
[1102/5000][250/535][113631] Loss_D: -0.023023 Loss_G: 0.024066 Loss_D_real: -0.029941 Loss_D_fake -0.006918
[1102/5000][255/535][113632] Loss_D: -0.021601 Loss_G: -0.005911 Loss_D_real: -0.006912 Loss_D_fake 0.014689
[1102/5000][260/535][113633] Loss_D: -0.020758 Loss_G: 0.004195 Loss_D_real: -0.026197 Loss_D_fake -0.005439
[1102/5000][265/535][113634] Loss_D: -0.020725 Loss_G: -0.013772 Loss_D_real: -0.006919 Loss_D_fake 0.013807
[1102/5000][270/535][113635] Loss_D: -0.020966 Loss_G: -0.000852 Loss_D_real: -0.001719 Loss_D_fake 0.019247
[1102/5000][275/535][113636] Loss_D: -0.020560 Loss_G: -0.002672 Loss_D_real: -0.016788 Loss_D_fake 0.003772
[1102/5000][280/535][113637] Loss_D: -0.022603 Loss_G: 0.016592 Loss_D_real: -0.018430 Loss_D_fake 0.004173
[1102/5000][285/535][113638] Loss_D: -0.022266 Loss_G: 0.016918 Loss_D_real: -0.016016 Loss_D_fake 0.006250
[1102/5000][290/535][113639] Loss_D: -0.021124 Loss_G: 0.007861 Loss_D_real: -0.018572 Loss_D_fake 0.002552
[1102/5000][295/535][113640] Loss_D: -0.021368 Loss_G: 0.011921 Loss_D_real: -0.017316 Loss_D_fake 0.004052
[1102/5000][300/535][113641] Loss_D: -0.022605 Loss_G: -0.010966 Loss_D_real: -0.016234 Loss_D_fake 0.006370
[1102/5000][305/535][113642] Loss_D: -0.021481 Loss_G: -0.009307 Loss_D_real: -0.002648 Loss_D_fake 0.018833
[1102/5000][310/535][113643] Loss_D: -0.022058 Loss_G: 0.005559 Loss_D_real: -0.016419 Loss_D_fake 0.005638
[1102/5000][315/535][113644] Loss_D: -0.021326 Loss_G: -0.014725 Loss_D_real: -0.005921 Loss_D_fake 0.015405
[1102/5000][320/535][113645] Loss_D: -0.020764 Loss_G: -0.008788 Loss_D_real: -0.003514 Loss_D_fake 0.017250
[1102/5000][325/535][113646] Loss_D: -0.020660 Loss_G: 0.010926 Loss_D_real: -0.019024 Loss_D_fake 0.001635
[1102/5000][330/535][113647] Loss_D: -0.021277 Loss_G: 0.002686 Loss_D_real: -0.003125 Loss_D_fake 0.018152
[1102/5000][335/535][113648] Loss_D: -0.021482 Loss_G: -0.006258 Loss_D_real: -0.006688 Loss_D_fake 0.014794
[1102/5000][340/535][113649] Loss_D: -0.021188 Loss_G: 0.017186 Loss_D_real: -0.020189 Loss_D_fake 0.001000
[1102/5000][345/535][113650] Loss_D: -0.021910 Loss_G: 0.008473 Loss_D_real: -0.014907 Loss_D_fake 0.007004
[1102/5000][350/535][113651] Loss_D: -0.022152 Loss_G: 0.017339 Loss_D_real: -0.021527 Loss_D_fake 0.000625
[1102/5000][355/535][113652] Loss_D: -0.020420 Loss_G: 0.012990 Loss_D_real: -0.010520 Loss_D_fake 0.009900
[1102/5000][360/535][113653] Loss_D: -0.020620 Loss_G: 0.011838 Loss_D_real: -0.015182 Loss_D_fake 0.005439
[1102/5000][365/535][113654] Loss_D: -0.020788 Loss_G: 0.016647 Loss_D_real: -0.023075 Loss_D_fake -0.002286
[1102/5000][370/535][113655] Loss_D: -0.020650 Loss_G: 0.011007 Loss_D_real: -0.015880 Loss_D_fake 0.004770
[1102/5000][375/535][113656] Loss_D: -0.020316 Loss_G: 0.011589 Loss_D_real: -0.035430 Loss_D_fake -0.015114
[1102/5000][380/535][113657] Loss_D: -0.023081 Loss_G: 0.000786 Loss_D_real: -0.008801 Loss_D_fake 0.014279
[1102/5000][385/535][113658] Loss_D: -0.021695 Loss_G: -0.014015 Loss_D_real: -0.016010 Loss_D_fake 0.005684
[1102/5000][390/535][113659] Loss_D: -0.021648 Loss_G: 0.002943 Loss_D_real: -0.013154 Loss_D_fake 0.008494
[1102/5000][395/535][113660] Loss_D: -0.021470 Loss_G: 0.000391 Loss_D_real: -0.012139 Loss_D_fake 0.009331
[1102/5000][400/535][113661] Loss_D: -0.020851 Loss_G: -0.002800 Loss_D_real: -0.014499 Loss_D_fake 0.006352
[1102/5000][405/535][113662] Loss_D: -0.022755 Loss_G: 0.016471 Loss_D_real: -0.019049 Loss_D_fake 0.003707
[1102/5000][410/535][113663] Loss_D: -0.022989 Loss_G: 0.007510 Loss_D_real: -0.015772 Loss_D_fake 0.007217
[1102/5000][415/535][113664] Loss_D: -0.021933 Loss_G: 0.011411 Loss_D_real: -0.014341 Loss_D_fake 0.007592
[1102/5000][420/535][113665] Loss_D: -0.021563 Loss_G: 0.009170 Loss_D_real: -0.025302 Loss_D_fake -0.003739
[1102/5000][425/535][113666] Loss_D: -0.021179 Loss_G: 0.030072 Loss_D_real: -0.032377 Loss_D_fake -0.011198
[1102/5000][430/535][113667] Loss_D: -0.021445 Loss_G: 0.018512 Loss_D_real: -0.018851 Loss_D_fake 0.002594
[1102/5000][435/535][113668] Loss_D: -0.022609 Loss_G: -0.006477 Loss_D_real: -0.018775 Loss_D_fake 0.003834
[1102/5000][440/535][113669] Loss_D: -0.022802 Loss_G: 0.003879 Loss_D_real: -0.009663 Loss_D_fake 0.013138
[1102/5000][445/535][113670] Loss_D: -0.022437 Loss_G: 0.013865 Loss_D_real: -0.014556 Loss_D_fake 0.007880
[1102/5000][450/535][113671] Loss_D: -0.021134 Loss_G: 0.011223 Loss_D_real: -0.012738 Loss_D_fake 0.008396
[1102/5000][455/535][113672] Loss_D: -0.022075 Loss_G: -0.006788 Loss_D_real: -0.020440 Loss_D_fake 0.001635
[1102/5000][460/535][113673] Loss_D: -0.021093 Loss_G: 0.022824 Loss_D_real: -0.026764 Loss_D_fake -0.005671
[1102/5000][465/535][113674] Loss_D: -0.021060 Loss_G: -0.012217 Loss_D_real: -0.014756 Loss_D_fake 0.006304
[1102/5000][470/535][113675] Loss_D: -0.019812 Loss_G: 0.016638 Loss_D_real: -0.023459 Loss_D_fake -0.003646
[1102/5000][475/535][113676] Loss_D: -0.019472 Loss_G: -0.016624 Loss_D_real: 0.006470 Loss_D_fake 0.025942
[1102/5000][480/535][113677] Loss_D: -0.020835 Loss_G: 0.000369 Loss_D_real: -0.019677 Loss_D_fake 0.001158
[1102/5000][485/535][113678] Loss_D: -0.022628 Loss_G: -0.007222 Loss_D_real: -0.002443 Loss_D_fake 0.020186
[1102/5000][490/535][113679] Loss_D: -0.021325 Loss_G: 0.005576 Loss_D_real: -0.014047 Loss_D_fake 0.007278
[1102/5000][495/535][113680] Loss_D: -0.021196 Loss_G: -0.002174 Loss_D_real: -0.004275 Loss_D_fake 0.016921
[1102/5000][500/535][113681] Loss_D: -0.020263 Loss_G: -0.007574 Loss_D_real: 0.001032 Loss_D_fake 0.021295
[1102/5000][505/535][113682] Loss_D: -0.021833 Loss_G: 0.016707 Loss_D_real: -0.022810 Loss_D_fake -0.000978
[1102/5000][510/535][113683] Loss_D: -0.021952 Loss_G: -0.000474 Loss_D_real: -0.017478 Loss_D_fake 0.004473
[1102/5000][515/535][113684] Loss_D: -0.020494 Loss_G: 0.031455 Loss_D_real: -0.037024 Loss_D_fake -0.016530
[1102/5000][520/535][113685] Loss_D: -0.021849 Loss_G: 0.002535 Loss_D_real: -0.012042 Loss_D_fake 0.009807
[1102/5000][525/535][113686] Loss_D: -0.021615 Loss_G: 0.010365 Loss_D_real: -0.011280 Loss_D_fake 0.010334
[1102/5000][530/535][113687] Loss_D: -0.021833 Loss_G: 0.006773 Loss_D_real: -0.003394 Loss_D_fake 0.018440
[1102/5000][535/535][113688] Loss_D: -0.024015 Loss_G: 0.004201 Loss_D_real: -0.020752 Loss_D_fake 0.003263
[1103/5000][5/535][113689] Loss_D: -0.021152 Loss_G: 0.019074 Loss_D_real: -0.032839 Loss_D_fake -0.011687
[1103/5000][10/535][113690] Loss_D: -0.021797 Loss_G: 0.005499 Loss_D_real: -0.016167 Loss_D_fake 0.005631
[1103/5000][15/535][113691] Loss_D: -0.022247 Loss_G: 0.027207 Loss_D_real: -0.025248 Loss_D_fake -0.003001
[1103/5000][20/535][113692] Loss_D: -0.021660 Loss_G: 0.011286 Loss_D_real: -0.020776 Loss_D_fake 0.000884
[1103/5000][25/535][113693] Loss_D: -0.022359 Loss_G: 0.016014 Loss_D_real: -0.029714 Loss_D_fake -0.007355
[1103/5000][30/535][113694] Loss_D: -0.021753 Loss_G: 0.008678 Loss_D_real: -0.015691 Loss_D_fake 0.006062
[1103/5000][35/535][113695] Loss_D: -0.020803 Loss_G: 0.023575 Loss_D_real: -0.027420 Loss_D_fake -0.006617
[1103/5000][40/535][113696] Loss_D: -0.021538 Loss_G: 0.022602 Loss_D_real: -0.020747 Loss_D_fake 0.000791
[1103/5000][45/535][113697] Loss_D: -0.022005 Loss_G: -0.010086 Loss_D_real: -0.013251 Loss_D_fake 0.008755
[1103/5000][50/535][113698] Loss_D: -0.023020 Loss_G: -0.002851 Loss_D_real: -0.019112 Loss_D_fake 0.003908
[1103/5000][55/535][113699] Loss_D: -0.023149 Loss_G: 0.020225 Loss_D_real: -0.023731 Loss_D_fake -0.000582
[1103/5000][60/535][113700] Loss_D: -0.021578 Loss_G: 0.016092 Loss_D_real: -0.020818 Loss_D_fake 0.000759
[1103/5000][65/535][113701] Loss_D: -0.021634 Loss_G: 0.001829 Loss_D_real: -0.023889 Loss_D_fake -0.002255
[1103/5000][70/535][113702] Loss_D: -0.019472 Loss_G: 0.019971 Loss_D_real: -0.036743 Loss_D_fake -0.017271
[1103/5000][75/535][113703] Loss_D: -0.020886 Loss_G: 0.002487 Loss_D_real: -0.008194 Loss_D_fake 0.012692
[1103/5000][80/535][113704] Loss_D: -0.021092 Loss_G: -0.000543 Loss_D_real: -0.020315 Loss_D_fake 0.000777
[1103/5000][85/535][113705] Loss_D: -0.022410 Loss_G: 0.000313 Loss_D_real: -0.009966 Loss_D_fake 0.012444
[1103/5000][90/535][113706] Loss_D: -0.019057 Loss_G: -0.019766 Loss_D_real: 0.005974 Loss_D_fake 0.025031
[1103/5000][95/535][113707] Loss_D: -0.021762 Loss_G: 0.009108 Loss_D_real: -0.016584 Loss_D_fake 0.005178
[1103/5000][100/535][113708] Loss_D: -0.021716 Loss_G: 0.004647 Loss_D_real: -0.014054 Loss_D_fake 0.007662
[1103/5000][105/535][113709] Loss_D: -0.021734 Loss_G: -0.000563 Loss_D_real: -0.009548 Loss_D_fake 0.012185
[1103/5000][110/535][113710] Loss_D: -0.021926 Loss_G: 0.012298 Loss_D_real: -0.025255 Loss_D_fake -0.003329
[1103/5000][115/535][113711] Loss_D: -0.020979 Loss_G: 0.018205 Loss_D_real: -0.024612 Loss_D_fake -0.003634
[1103/5000][120/535][113712] Loss_D: -0.020677 Loss_G: 0.027703 Loss_D_real: -0.029438 Loss_D_fake -0.008762
[1103/5000][125/535][113713] Loss_D: -0.021309 Loss_G: -0.020187 Loss_D_real: -0.007084 Loss_D_fake 0.014225
[1103/5000][130/535][113714] Loss_D: -0.020372 Loss_G: 0.006868 Loss_D_real: -0.020359 Loss_D_fake 0.000013
[1103/5000][135/535][113715] Loss_D: -0.022327 Loss_G: 0.000932 Loss_D_real: -0.008598 Loss_D_fake 0.013729
[1103/5000][140/535][113716] Loss_D: -0.019757 Loss_G: -0.011883 Loss_D_real: -0.009945 Loss_D_fake 0.009812
[1103/5000][145/535][113717] Loss_D: -0.020683 Loss_G: 0.003221 Loss_D_real: -0.024718 Loss_D_fake -0.004036
[1103/5000][150/535][113718] Loss_D: -0.022315 Loss_G: 0.006405 Loss_D_real: -0.009207 Loss_D_fake 0.013108
[1103/5000][155/535][113719] Loss_D: -0.021749 Loss_G: 0.014976 Loss_D_real: -0.022058 Loss_D_fake -0.000309
[1103/5000][160/535][113720] Loss_D: -0.022839 Loss_G: 0.023084 Loss_D_real: -0.027470 Loss_D_fake -0.004630
[1103/5000][165/535][113721] Loss_D: -0.021600 Loss_G: -0.005356 Loss_D_real: -0.003329 Loss_D_fake 0.018271
[1103/5000][170/535][113722] Loss_D: -0.021734 Loss_G: 0.010607 Loss_D_real: -0.018967 Loss_D_fake 0.002766
[1103/5000][175/535][113723] Loss_D: -0.021286 Loss_G: -0.008286 Loss_D_real: -0.003955 Loss_D_fake 0.017331
[1103/5000][180/535][113724] Loss_D: -0.020322 Loss_G: 0.023397 Loss_D_real: -0.024176 Loss_D_fake -0.003854
[1103/5000][185/535][113725] Loss_D: -0.021746 Loss_G: 0.004969 Loss_D_real: -0.017901 Loss_D_fake 0.003845
[1103/5000][190/535][113726] Loss_D: -0.021802 Loss_G: 0.000379 Loss_D_real: -0.024341 Loss_D_fake -0.002540
[1103/5000][195/535][113727] Loss_D: -0.023254 Loss_G: 0.013829 Loss_D_real: -0.007124 Loss_D_fake 0.016129
[1103/5000][200/535][113728] Loss_D: -0.021586 Loss_G: 0.014264 Loss_D_real: -0.016558 Loss_D_fake 0.005028
[1103/5000][205/535][113729] Loss_D: -0.021433 Loss_G: 0.008320 Loss_D_real: -0.019038 Loss_D_fake 0.002395
[1103/5000][210/535][113730] Loss_D: -0.022533 Loss_G: -0.007697 Loss_D_real: -0.008335 Loss_D_fake 0.014199
[1103/5000][215/535][113731] Loss_D: -0.021155 Loss_G: 0.002380 Loss_D_real: -0.014460 Loss_D_fake 0.006695
[1103/5000][220/535][113732] Loss_D: -0.022021 Loss_G: 0.011544 Loss_D_real: -0.022206 Loss_D_fake -0.000184
[1103/5000][225/535][113733] Loss_D: -0.022531 Loss_G: -0.002360 Loss_D_real: -0.000778 Loss_D_fake 0.021753
[1103/5000][230/535][113734] Loss_D: -0.021384 Loss_G: 0.016857 Loss_D_real: -0.020918 Loss_D_fake 0.000466
[1103/5000][235/535][113735] Loss_D: -0.022401 Loss_G: 0.022742 Loss_D_real: -0.026797 Loss_D_fake -0.004396
[1103/5000][240/535][113736] Loss_D: -0.020822 Loss_G: 0.001959 Loss_D_real: -0.014252 Loss_D_fake 0.006571
[1103/5000][245/535][113737] Loss_D: -0.019916 Loss_G: 0.021878 Loss_D_real: -0.035864 Loss_D_fake -0.015948
[1103/5000][250/535][113738] Loss_D: -0.020814 Loss_G: -0.009648 Loss_D_real: -0.001671 Loss_D_fake 0.019143
[1103/5000][255/535][113739] Loss_D: -0.021844 Loss_G: 0.011386 Loss_D_real: -0.025542 Loss_D_fake -0.003698
[1103/5000][260/535][113740] Loss_D: -0.020902 Loss_G: 0.026303 Loss_D_real: -0.025988 Loss_D_fake -0.005086
[1103/5000][265/535][113741] Loss_D: -0.020301 Loss_G: 0.017953 Loss_D_real: -0.022027 Loss_D_fake -0.001726
[1103/5000][270/535][113742] Loss_D: -0.021408 Loss_G: 0.008573 Loss_D_real: -0.004442 Loss_D_fake 0.016966
[1103/5000][275/535][113743] Loss_D: -0.020663 Loss_G: 0.012284 Loss_D_real: -0.031724 Loss_D_fake -0.011061
[1103/5000][280/535][113744] Loss_D: -0.020906 Loss_G: 0.003257 Loss_D_real: -0.001049 Loss_D_fake 0.019857
[1103/5000][285/535][113745] Loss_D: -0.019031 Loss_G: -0.009328 Loss_D_real: 0.008835 Loss_D_fake 0.027866
[1103/5000][290/535][113746] Loss_D: -0.021229 Loss_G: 0.010414 Loss_D_real: -0.018154 Loss_D_fake 0.003075
[1103/5000][295/535][113747] Loss_D: -0.019431 Loss_G: 0.015826 Loss_D_real: -0.035248 Loss_D_fake -0.015817
[1103/5000][300/535][113748] Loss_D: -0.020547 Loss_G: 0.022327 Loss_D_real: -0.022870 Loss_D_fake -0.002323
[1103/5000][305/535][113749] Loss_D: -0.020919 Loss_G: -0.002400 Loss_D_real: -0.001892 Loss_D_fake 0.019027
[1103/5000][310/535][113750] Loss_D: -0.021269 Loss_G: 0.013396 Loss_D_real: -0.023659 Loss_D_fake -0.002390
[1103/5000][315/535][113751] Loss_D: -0.022019 Loss_G: 0.006942 Loss_D_real: -0.025210 Loss_D_fake -0.003191
[1103/5000][320/535][113752] Loss_D: -0.020343 Loss_G: 0.002179 Loss_D_real: -0.023106 Loss_D_fake -0.002763
[1103/5000][325/535][113753] Loss_D: -0.019729 Loss_G: 0.011267 Loss_D_real: -0.021985 Loss_D_fake -0.002256
[1103/5000][330/535][113754] Loss_D: -0.022346 Loss_G: -0.007060 Loss_D_real: -0.025507 Loss_D_fake -0.003161
[1103/5000][335/535][113755] Loss_D: -0.020922 Loss_G: 0.012783 Loss_D_real: -0.030129 Loss_D_fake -0.009207
[1103/5000][340/535][113756] Loss_D: -0.020291 Loss_G: 0.021351 Loss_D_real: -0.028065 Loss_D_fake -0.007774
[1103/5000][345/535][113757] Loss_D: -0.022002 Loss_G: 0.017907 Loss_D_real: -0.015673 Loss_D_fake 0.006328
[1103/5000][350/535][113758] Loss_D: -0.021673 Loss_G: 0.005295 Loss_D_real: -0.020596 Loss_D_fake 0.001077
[1103/5000][355/535][113759] Loss_D: -0.020953 Loss_G: -0.004272 Loss_D_real: -0.017954 Loss_D_fake 0.002999
[1103/5000][360/535][113760] Loss_D: -0.022576 Loss_G: 0.016579 Loss_D_real: -0.024558 Loss_D_fake -0.001983
[1103/5000][365/535][113761] Loss_D: -0.021895 Loss_G: 0.024454 Loss_D_real: -0.017530 Loss_D_fake 0.004366
[1103/5000][370/535][113762] Loss_D: -0.021520 Loss_G: 0.002179 Loss_D_real: -0.016049 Loss_D_fake 0.005471
[1103/5000][375/535][113763] Loss_D: -0.021284 Loss_G: -0.004864 Loss_D_real: -0.010027 Loss_D_fake 0.011257
[1103/5000][380/535][113764] Loss_D: -0.022574 Loss_G: 0.003631 Loss_D_real: -0.015939 Loss_D_fake 0.006635
[1103/5000][385/535][113765] Loss_D: -0.023356 Loss_G: -0.012350 Loss_D_real: -0.008800 Loss_D_fake 0.014555
[1103/5000][390/535][113766] Loss_D: -0.021271 Loss_G: 0.011249 Loss_D_real: -0.026298 Loss_D_fake -0.005028
[1103/5000][395/535][113767] Loss_D: -0.021879 Loss_G: -0.005420 Loss_D_real: -0.007988 Loss_D_fake 0.013891
[1103/5000][400/535][113768] Loss_D: -0.022532 Loss_G: 0.002803 Loss_D_real: -0.004463 Loss_D_fake 0.018069
[1103/5000][405/535][113769] Loss_D: -0.021215 Loss_G: 0.000069 Loss_D_real: -0.012064 Loss_D_fake 0.009151
[1103/5000][410/535][113770] Loss_D: -0.022023 Loss_G: 0.001620 Loss_D_real: -0.011994 Loss_D_fake 0.010029
[1103/5000][415/535][113771] Loss_D: -0.021210 Loss_G: 0.021069 Loss_D_real: -0.015808 Loss_D_fake 0.005402
[1103/5000][420/535][113772] Loss_D: -0.022223 Loss_G: -0.001443 Loss_D_real: -0.016009 Loss_D_fake 0.006214
[1103/5000][425/535][113773] Loss_D: -0.020968 Loss_G: 0.013825 Loss_D_real: -0.023328 Loss_D_fake -0.002360
[1103/5000][430/535][113774] Loss_D: -0.020091 Loss_G: 0.008262 Loss_D_real: -0.027568 Loss_D_fake -0.007476
[1103/5000][435/535][113775] Loss_D: -0.023204 Loss_G: -0.012668 Loss_D_real: -0.009708 Loss_D_fake 0.013496
[1103/5000][440/535][113776] Loss_D: -0.021164 Loss_G: 0.022435 Loss_D_real: -0.029197 Loss_D_fake -0.008033
[1103/5000][445/535][113777] Loss_D: -0.019192 Loss_G: -0.010270 Loss_D_real: 0.003173 Loss_D_fake 0.022365
[1103/5000][450/535][113778] Loss_D: -0.021389 Loss_G: 0.006562 Loss_D_real: -0.013966 Loss_D_fake 0.007423
[1103/5000][455/535][113779] Loss_D: -0.020465 Loss_G: -0.000454 Loss_D_real: -0.014435 Loss_D_fake 0.006030
[1103/5000][460/535][113780] Loss_D: -0.021243 Loss_G: 0.005692 Loss_D_real: -0.018057 Loss_D_fake 0.003186
[1103/5000][465/535][113781] Loss_D: -0.021029 Loss_G: 0.013032 Loss_D_real: -0.013641 Loss_D_fake 0.007388
[1103/5000][470/535][113782] Loss_D: -0.020943 Loss_G: 0.008474 Loss_D_real: -0.015300 Loss_D_fake 0.005643
[1103/5000][475/535][113783] Loss_D: -0.021314 Loss_G: 0.016075 Loss_D_real: -0.019084 Loss_D_fake 0.002230
[1103/5000][480/535][113784] Loss_D: -0.021839 Loss_G: -0.007375 Loss_D_real: -0.015778 Loss_D_fake 0.006061
[1103/5000][485/535][113785] Loss_D: -0.022221 Loss_G: 0.010877 Loss_D_real: -0.011524 Loss_D_fake 0.010697
[1103/5000][490/535][113786] Loss_D: -0.022188 Loss_G: 0.003736 Loss_D_real: -0.022559 Loss_D_fake -0.000371
[1103/5000][495/535][113787] Loss_D: -0.021987 Loss_G: -0.002373 Loss_D_real: -0.018115 Loss_D_fake 0.003872
[1103/5000][500/535][113788] Loss_D: -0.021614 Loss_G: -0.007539 Loss_D_real: -0.015404 Loss_D_fake 0.006210
[1103/5000][505/535][113789] Loss_D: -0.022639 Loss_G: 0.019405 Loss_D_real: -0.023117 Loss_D_fake -0.000479
[1103/5000][510/535][113790] Loss_D: -0.021411 Loss_G: 0.002740 Loss_D_real: -0.013409 Loss_D_fake 0.008002
[1103/5000][515/535][113791] Loss_D: -0.020176 Loss_G: 0.024639 Loss_D_real: -0.028769 Loss_D_fake -0.008593
[1103/5000][520/535][113792] Loss_D: -0.021498 Loss_G: 0.008799 Loss_D_real: -0.007453 Loss_D_fake 0.014044
[1103/5000][525/535][113793] Loss_D: -0.021717 Loss_G: 0.000373 Loss_D_real: -0.006646 Loss_D_fake 0.015072
[1103/5000][530/535][113794] Loss_D: -0.020741 Loss_G: 0.002663 Loss_D_real: -0.020012 Loss_D_fake 0.000729
[1103/5000][535/535][113795] Loss_D: -0.016938 Loss_G: 0.003130 Loss_D_real: -0.028631 Loss_D_fake -0.011694
[1104/5000][5/535][113796] Loss_D: -0.019927 Loss_G: 0.024442 Loss_D_real: -0.018599 Loss_D_fake 0.001328
[1104/5000][10/535][113797] Loss_D: -0.021294 Loss_G: 0.002521 Loss_D_real: -0.007114 Loss_D_fake 0.014180
[1104/5000][15/535][113798] Loss_D: -0.019518 Loss_G: 0.015403 Loss_D_real: -0.029241 Loss_D_fake -0.009722
[1104/5000][20/535][113799] Loss_D: -0.021365 Loss_G: 0.017636 Loss_D_real: -0.026910 Loss_D_fake -0.005544
[1104/5000][25/535][113800] Loss_D: -0.022158 Loss_G: 0.004987 Loss_D_real: -0.011791 Loss_D_fake 0.010367
[1104/5000][30/535][113801] Loss_D: -0.020830 Loss_G: 0.000250 Loss_D_real: -0.003440 Loss_D_fake 0.017390
[1104/5000][35/535][113802] Loss_D: -0.021020 Loss_G: -0.010733 Loss_D_real: 0.007704 Loss_D_fake 0.028724
[1104/5000][40/535][113803] Loss_D: -0.020193 Loss_G: 0.007703 Loss_D_real: -0.008073 Loss_D_fake 0.012120
[1104/5000][45/535][113804] Loss_D: -0.021133 Loss_G: 0.010832 Loss_D_real: -0.025418 Loss_D_fake -0.004285
[1104/5000][50/535][113805] Loss_D: -0.020120 Loss_G: -0.010710 Loss_D_real: -0.013545 Loss_D_fake 0.006575
[1104/5000][55/535][113806] Loss_D: -0.023206 Loss_G: 0.012523 Loss_D_real: -0.012018 Loss_D_fake 0.011188
[1104/5000][60/535][113807] Loss_D: -0.020300 Loss_G: 0.026381 Loss_D_real: -0.035846 Loss_D_fake -0.015546
[1104/5000][65/535][113808] Loss_D: -0.023277 Loss_G: 0.014782 Loss_D_real: -0.022738 Loss_D_fake 0.000538
[1104/5000][70/535][113809] Loss_D: -0.021400 Loss_G: 0.001232 Loss_D_real: -0.010660 Loss_D_fake 0.010740
[1104/5000][75/535][113810] Loss_D: -0.021345 Loss_G: 0.026386 Loss_D_real: -0.028333 Loss_D_fake -0.006988
[1104/5000][80/535][113811] Loss_D: -0.021144 Loss_G: 0.013183 Loss_D_real: -0.011974 Loss_D_fake 0.009170
[1104/5000][85/535][113812] Loss_D: -0.022266 Loss_G: 0.009536 Loss_D_real: -0.027009 Loss_D_fake -0.004743
[1104/5000][90/535][113813] Loss_D: -0.021251 Loss_G: -0.005229 Loss_D_real: -0.022986 Loss_D_fake -0.001734
[1104/5000][95/535][113814] Loss_D: -0.021746 Loss_G: 0.005279 Loss_D_real: -0.023764 Loss_D_fake -0.002018
[1104/5000][100/535][113815] Loss_D: -0.021464 Loss_G: -0.003498 Loss_D_real: -0.010742 Loss_D_fake 0.010722
[1104/5000][105/535][113816] Loss_D: -0.020705 Loss_G: 0.013998 Loss_D_real: -0.020677 Loss_D_fake 0.000028
[1104/5000][110/535][113817] Loss_D: -0.020833 Loss_G: 0.002457 Loss_D_real: -0.014351 Loss_D_fake 0.006482
[1104/5000][115/535][113818] Loss_D: -0.022195 Loss_G: -0.004963 Loss_D_real: -0.016640 Loss_D_fake 0.005555
[1104/5000][120/535][113819] Loss_D: -0.021938 Loss_G: 0.010825 Loss_D_real: -0.017353 Loss_D_fake 0.004584
[1104/5000][125/535][113820] Loss_D: -0.021062 Loss_G: 0.025637 Loss_D_real: -0.029980 Loss_D_fake -0.008918
[1104/5000][130/535][113821] Loss_D: -0.020481 Loss_G: 0.022805 Loss_D_real: -0.028718 Loss_D_fake -0.008237
[1104/5000][135/535][113822] Loss_D: -0.021055 Loss_G: 0.018450 Loss_D_real: -0.025670 Loss_D_fake -0.004615
[1104/5000][140/535][113823] Loss_D: -0.021164 Loss_G: 0.003410 Loss_D_real: -0.018474 Loss_D_fake 0.002690
[1104/5000][145/535][113824] Loss_D: -0.021969 Loss_G: 0.022334 Loss_D_real: -0.024537 Loss_D_fake -0.002569
[1104/5000][150/535][113825] Loss_D: -0.021778 Loss_G: 0.005868 Loss_D_real: -0.016636 Loss_D_fake 0.005141
[1104/5000][155/535][113826] Loss_D: -0.020703 Loss_G: 0.014562 Loss_D_real: -0.018625 Loss_D_fake 0.002078
[1104/5000][160/535][113827] Loss_D: -0.023126 Loss_G: 0.011446 Loss_D_real: -0.026017 Loss_D_fake -0.002891
[1104/5000][165/535][113828] Loss_D: -0.020847 Loss_G: -0.011108 Loss_D_real: -0.012594 Loss_D_fake 0.008253
[1104/5000][170/535][113829] Loss_D: -0.021005 Loss_G: 0.030460 Loss_D_real: -0.033378 Loss_D_fake -0.012373
[1104/5000][175/535][113830] Loss_D: -0.021197 Loss_G: -0.003279 Loss_D_real: -0.015749 Loss_D_fake 0.005448
[1104/5000][180/535][113831] Loss_D: -0.020651 Loss_G: 0.013324 Loss_D_real: -0.022264 Loss_D_fake -0.001613
[1104/5000][185/535][113832] Loss_D: -0.022190 Loss_G: 0.011366 Loss_D_real: -0.021818 Loss_D_fake 0.000372
[1104/5000][190/535][113833] Loss_D: -0.022426 Loss_G: 0.012091 Loss_D_real: -0.023861 Loss_D_fake -0.001435
[1104/5000][195/535][113834] Loss_D: -0.021380 Loss_G: -0.008395 Loss_D_real: -0.007135 Loss_D_fake 0.014244
[1104/5000][200/535][113835] Loss_D: -0.021918 Loss_G: 0.003383 Loss_D_real: -0.014639 Loss_D_fake 0.007280
[1104/5000][205/535][113836] Loss_D: -0.021351 Loss_G: 0.019952 Loss_D_real: -0.023004 Loss_D_fake -0.001653
[1104/5000][210/535][113837] Loss_D: -0.020081 Loss_G: 0.017615 Loss_D_real: -0.031636 Loss_D_fake -0.011554
[1104/5000][215/535][113838] Loss_D: -0.022149 Loss_G: -0.010585 Loss_D_real: -0.007766 Loss_D_fake 0.014384
[1104/5000][220/535][113839] Loss_D: -0.021222 Loss_G: 0.013784 Loss_D_real: -0.035915 Loss_D_fake -0.014693
[1104/5000][225/535][113840] Loss_D: -0.021340 Loss_G: 0.009758 Loss_D_real: -0.027035 Loss_D_fake -0.005695
[1104/5000][230/535][113841] Loss_D: -0.021346 Loss_G: 0.017137 Loss_D_real: -0.019932 Loss_D_fake 0.001414
[1104/5000][235/535][113842] Loss_D: -0.020190 Loss_G: 0.005389 Loss_D_real: -0.015772 Loss_D_fake 0.004417
[1104/5000][240/535][113843] Loss_D: -0.020570 Loss_G: -0.003961 Loss_D_real: 0.005047 Loss_D_fake 0.025617
[1104/5000][245/535][113844] Loss_D: -0.021298 Loss_G: 0.019739 Loss_D_real: -0.027765 Loss_D_fake -0.006467
[1104/5000][250/535][113845] Loss_D: -0.020690 Loss_G: 0.026009 Loss_D_real: -0.022854 Loss_D_fake -0.002164
[1104/5000][255/535][113846] Loss_D: -0.020840 Loss_G: 0.006302 Loss_D_real: -0.025387 Loss_D_fake -0.004547
[1104/5000][260/535][113847] Loss_D: -0.019254 Loss_G: 0.023018 Loss_D_real: -0.020101 Loss_D_fake -0.000847
[1104/5000][265/535][113848] Loss_D: -0.021327 Loss_G: 0.026152 Loss_D_real: -0.034687 Loss_D_fake -0.013359
[1104/5000][270/535][113849] Loss_D: -0.021597 Loss_G: 0.003021 Loss_D_real: -0.011865 Loss_D_fake 0.009733
[1104/5000][275/535][113850] Loss_D: -0.021074 Loss_G: 0.019286 Loss_D_real: -0.022470 Loss_D_fake -0.001396
[1104/5000][280/535][113851] Loss_D: -0.022205 Loss_G: 0.007397 Loss_D_real: -0.016115 Loss_D_fake 0.006090
[1104/5000][285/535][113852] Loss_D: -0.020287 Loss_G: 0.025708 Loss_D_real: -0.019506 Loss_D_fake 0.000780
[1104/5000][290/535][113853] Loss_D: -0.022179 Loss_G: 0.007149 Loss_D_real: -0.012876 Loss_D_fake 0.009303
[1104/5000][295/535][113854] Loss_D: -0.023130 Loss_G: 0.009927 Loss_D_real: -0.020235 Loss_D_fake 0.002895
[1104/5000][300/535][113855] Loss_D: -0.022730 Loss_G: -0.011410 Loss_D_real: -0.012727 Loss_D_fake 0.010003
[1104/5000][305/535][113856] Loss_D: -0.021492 Loss_G: 0.015792 Loss_D_real: -0.026473 Loss_D_fake -0.004981
[1104/5000][310/535][113857] Loss_D: -0.020708 Loss_G: 0.001797 Loss_D_real: -0.013796 Loss_D_fake 0.006912
[1104/5000][315/535][113858] Loss_D: -0.021398 Loss_G: 0.005813 Loss_D_real: -0.019023 Loss_D_fake 0.002375
[1104/5000][320/535][113859] Loss_D: -0.020281 Loss_G: -0.001406 Loss_D_real: -0.001740 Loss_D_fake 0.018541
[1104/5000][325/535][113860] Loss_D: -0.020345 Loss_G: 0.014026 Loss_D_real: -0.024507 Loss_D_fake -0.004162
[1104/5000][330/535][113861] Loss_D: -0.021769 Loss_G: 0.009674 Loss_D_real: -0.010580 Loss_D_fake 0.011189
[1104/5000][335/535][113862] Loss_D: -0.020903 Loss_G: 0.020664 Loss_D_real: -0.026709 Loss_D_fake -0.005806
[1104/5000][340/535][113863] Loss_D: -0.021935 Loss_G: -0.013295 Loss_D_real: -0.012341 Loss_D_fake 0.009594
[1104/5000][345/535][113864] Loss_D: -0.021346 Loss_G: -0.002438 Loss_D_real: -0.021957 Loss_D_fake -0.000611
[1104/5000][350/535][113865] Loss_D: -0.021892 Loss_G: -0.006451 Loss_D_real: -0.018356 Loss_D_fake 0.003536
[1104/5000][355/535][113866] Loss_D: -0.022187 Loss_G: 0.006910 Loss_D_real: -0.008898 Loss_D_fake 0.013289
[1104/5000][360/535][113867] Loss_D: -0.021984 Loss_G: 0.021146 Loss_D_real: -0.017813 Loss_D_fake 0.004171
[1104/5000][365/535][113868] Loss_D: -0.020801 Loss_G: 0.029387 Loss_D_real: -0.029649 Loss_D_fake -0.008848
[1104/5000][370/535][113869] Loss_D: -0.022034 Loss_G: 0.001342 Loss_D_real: -0.015099 Loss_D_fake 0.006935
[1104/5000][375/535][113870] Loss_D: -0.019480 Loss_G: -0.009957 Loss_D_real: 0.004259 Loss_D_fake 0.023739
[1104/5000][380/535][113871] Loss_D: -0.021484 Loss_G: 0.025239 Loss_D_real: -0.023525 Loss_D_fake -0.002041
[1104/5000][385/535][113872] Loss_D: -0.021130 Loss_G: 0.015442 Loss_D_real: -0.024040 Loss_D_fake -0.002911
[1104/5000][390/535][113873] Loss_D: -0.021050 Loss_G: -0.005631 Loss_D_real: -0.011785 Loss_D_fake 0.009265
[1104/5000][395/535][113874] Loss_D: -0.020599 Loss_G: 0.014611 Loss_D_real: -0.032620 Loss_D_fake -0.012021
[1104/5000][400/535][113875] Loss_D: -0.021959 Loss_G: -0.004230 Loss_D_real: -0.004888 Loss_D_fake 0.017071
[1104/5000][405/535][113876] Loss_D: -0.020380 Loss_G: -0.006025 Loss_D_real: -0.011516 Loss_D_fake 0.008864
[1104/5000][410/535][113877] Loss_D: -0.020908 Loss_G: 0.000110 Loss_D_real: -0.011722 Loss_D_fake 0.009186
[1104/5000][415/535][113878] Loss_D: -0.022754 Loss_G: 0.014300 Loss_D_real: -0.015396 Loss_D_fake 0.007357
[1104/5000][420/535][113879] Loss_D: -0.021753 Loss_G: -0.010363 Loss_D_real: -0.003372 Loss_D_fake 0.018381
[1104/5000][425/535][113880] Loss_D: -0.021136 Loss_G: 0.006987 Loss_D_real: -0.011820 Loss_D_fake 0.009315
[1104/5000][430/535][113881] Loss_D: -0.020609 Loss_G: 0.007003 Loss_D_real: -0.016568 Loss_D_fake 0.004041
[1104/5000][435/535][113882] Loss_D: -0.020145 Loss_G: 0.011332 Loss_D_real: -0.018570 Loss_D_fake 0.001574
[1104/5000][440/535][113883] Loss_D: -0.020168 Loss_G: 0.019489 Loss_D_real: -0.019085 Loss_D_fake 0.001082
[1104/5000][445/535][113884] Loss_D: -0.021164 Loss_G: 0.011961 Loss_D_real: -0.024413 Loss_D_fake -0.003249
[1104/5000][450/535][113885] Loss_D: -0.020994 Loss_G: 0.008780 Loss_D_real: -0.001301 Loss_D_fake 0.019693
[1104/5000][455/535][113886] Loss_D: -0.019517 Loss_G: -0.011196 Loss_D_real: -0.004570 Loss_D_fake 0.014947
[1104/5000][460/535][113887] Loss_D: -0.020332 Loss_G: 0.015225 Loss_D_real: -0.033661 Loss_D_fake -0.013329
[1104/5000][465/535][113888] Loss_D: -0.021723 Loss_G: 0.017962 Loss_D_real: -0.029350 Loss_D_fake -0.007627
[1104/5000][470/535][113889] Loss_D: -0.020106 Loss_G: 0.005174 Loss_D_real: -0.014023 Loss_D_fake 0.006083
[1104/5000][475/535][113890] Loss_D: -0.021422 Loss_G: 0.010030 Loss_D_real: -0.039424 Loss_D_fake -0.018002
[1104/5000][480/535][113891] Loss_D: -0.022582 Loss_G: -0.017079 Loss_D_real: -0.003988 Loss_D_fake 0.018594
[1104/5000][485/535][113892] Loss_D: -0.019047 Loss_G: 0.029360 Loss_D_real: -0.033181 Loss_D_fake -0.014133
[1104/5000][490/535][113893] Loss_D: -0.021124 Loss_G: 0.005918 Loss_D_real: -0.021412 Loss_D_fake -0.000288
[1104/5000][495/535][113894] Loss_D: -0.022773 Loss_G: 0.007079 Loss_D_real: -0.020929 Loss_D_fake 0.001844
[1104/5000][500/535][113895] Loss_D: -0.022338 Loss_G: -0.004279 Loss_D_real: -0.013707 Loss_D_fake 0.008631
[1104/5000][505/535][113896] Loss_D: -0.021269 Loss_G: -0.004232 Loss_D_real: -0.002506 Loss_D_fake 0.018763
[1104/5000][510/535][113897] Loss_D: -0.020311 Loss_G: 0.000741 Loss_D_real: -0.021367 Loss_D_fake -0.001056
[1104/5000][515/535][113898] Loss_D: -0.022741 Loss_G: 0.016785 Loss_D_real: -0.015238 Loss_D_fake 0.007503
[1104/5000][520/535][113899] Loss_D: -0.021723 Loss_G: 0.027335 Loss_D_real: -0.029238 Loss_D_fake -0.007514
[1104/5000][525/535][113900] Loss_D: -0.021829 Loss_G: -0.003076 Loss_D_real: -0.013246 Loss_D_fake 0.008583
[1104/5000][530/535][113901] Loss_D: -0.020522 Loss_G: 0.002299 Loss_D_real: -0.001107 Loss_D_fake 0.019415
[1104/5000][535/535][113902] Loss_D: -0.018613 Loss_G: 0.011163 Loss_D_real: -0.026965 Loss_D_fake -0.008352
[1105/5000][5/535][113903] Loss_D: -0.022433 Loss_G: 0.003890 Loss_D_real: -0.015626 Loss_D_fake 0.006807
[1105/5000][10/535][113904] Loss_D: -0.020914 Loss_G: 0.023493 Loss_D_real: -0.029152 Loss_D_fake -0.008238
[1105/5000][15/535][113905] Loss_D: -0.021355 Loss_G: -0.003049 Loss_D_real: -0.017980 Loss_D_fake 0.003375
[1105/5000][20/535][113906] Loss_D: -0.020415 Loss_G: 0.016765 Loss_D_real: -0.024263 Loss_D_fake -0.003849
[1105/5000][25/535][113907] Loss_D: -0.020789 Loss_G: 0.011467 Loss_D_real: -0.021325 Loss_D_fake -0.000535
[1105/5000][30/535][113908] Loss_D: -0.021230 Loss_G: -0.010733 Loss_D_real: -0.009056 Loss_D_fake 0.012174
[1105/5000][35/535][113909] Loss_D: -0.021330 Loss_G: 0.001890 Loss_D_real: -0.013243 Loss_D_fake 0.008086
[1105/5000][40/535][113910] Loss_D: -0.020820 Loss_G: -0.008910 Loss_D_real: -0.008971 Loss_D_fake 0.011848
[1105/5000][45/535][113911] Loss_D: -0.020340 Loss_G: 0.010491 Loss_D_real: -0.017102 Loss_D_fake 0.003238
[1105/5000][50/535][113912] Loss_D: -0.022449 Loss_G: 0.024486 Loss_D_real: -0.022056 Loss_D_fake 0.000393
[1105/5000][55/535][113913] Loss_D: -0.022265 Loss_G: 0.006610 Loss_D_real: -0.015210 Loss_D_fake 0.007055
[1105/5000][60/535][113914] Loss_D: -0.021803 Loss_G: 0.008116 Loss_D_real: -0.015076 Loss_D_fake 0.006728
[1105/5000][65/535][113915] Loss_D: -0.022917 Loss_G: 0.012203 Loss_D_real: -0.007292 Loss_D_fake 0.015625
[1105/5000][70/535][113916] Loss_D: -0.019482 Loss_G: 0.013217 Loss_D_real: -0.027222 Loss_D_fake -0.007740
[1105/5000][75/535][113917] Loss_D: -0.021242 Loss_G: 0.018780 Loss_D_real: -0.023388 Loss_D_fake -0.002145
[1105/5000][80/535][113918] Loss_D: -0.022253 Loss_G: -0.012820 Loss_D_real: -0.015826 Loss_D_fake 0.006427
[1105/5000][85/535][113919] Loss_D: -0.021570 Loss_G: 0.021631 Loss_D_real: -0.036173 Loss_D_fake -0.014603
[1105/5000][90/535][113920] Loss_D: -0.020798 Loss_G: 0.008022 Loss_D_real: -0.015267 Loss_D_fake 0.005531
[1105/5000][95/535][113921] Loss_D: -0.022318 Loss_G: 0.011777 Loss_D_real: -0.021162 Loss_D_fake 0.001155
[1105/5000][100/535][113922] Loss_D: -0.022564 Loss_G: 0.006244 Loss_D_real: -0.016053 Loss_D_fake 0.006510
[1105/5000][105/535][113923] Loss_D: -0.021757 Loss_G: -0.007415 Loss_D_real: 0.008109 Loss_D_fake 0.029865
[1105/5000][110/535][113924] Loss_D: -0.021778 Loss_G: 0.012351 Loss_D_real: -0.016918 Loss_D_fake 0.004860
[1105/5000][115/535][113925] Loss_D: -0.022020 Loss_G: -0.003770 Loss_D_real: -0.011754 Loss_D_fake 0.010265
[1105/5000][120/535][113926] Loss_D: -0.021715 Loss_G: 0.017175 Loss_D_real: -0.026592 Loss_D_fake -0.004877
[1105/5000][125/535][113927] Loss_D: -0.021537 Loss_G: -0.008587 Loss_D_real: -0.011392 Loss_D_fake 0.010145
[1105/5000][130/535][113928] Loss_D: -0.021144 Loss_G: 0.020871 Loss_D_real: -0.029409 Loss_D_fake -0.008265
[1105/5000][135/535][113929] Loss_D: -0.021164 Loss_G: -0.001825 Loss_D_real: -0.015679 Loss_D_fake 0.005485
[1105/5000][140/535][113930] Loss_D: -0.022458 Loss_G: 0.012346 Loss_D_real: -0.015143 Loss_D_fake 0.007316
[1105/5000][145/535][113931] Loss_D: -0.020622 Loss_G: 0.002634 Loss_D_real: -0.011520 Loss_D_fake 0.009102
[1105/5000][150/535][113932] Loss_D: -0.022094 Loss_G: 0.018460 Loss_D_real: -0.028465 Loss_D_fake -0.006370
[1105/5000][155/535][113933] Loss_D: -0.022128 Loss_G: -0.006430 Loss_D_real: -0.021318 Loss_D_fake 0.000809
[1105/5000][160/535][113934] Loss_D: -0.021866 Loss_G: 0.014048 Loss_D_real: -0.021666 Loss_D_fake 0.000201
[1105/5000][165/535][113935] Loss_D: -0.023412 Loss_G: 0.013232 Loss_D_real: -0.019026 Loss_D_fake 0.004386
[1105/5000][170/535][113936] Loss_D: -0.023151 Loss_G: 0.003452 Loss_D_real: -0.006069 Loss_D_fake 0.017082
[1105/5000][175/535][113937] Loss_D: -0.021456 Loss_G: 0.003146 Loss_D_real: -0.025429 Loss_D_fake -0.003973
[1105/5000][180/535][113938] Loss_D: -0.021966 Loss_G: 0.023087 Loss_D_real: -0.016913 Loss_D_fake 0.005053
[1105/5000][185/535][113939] Loss_D: -0.021628 Loss_G: -0.006179 Loss_D_real: -0.006283 Loss_D_fake 0.015345
[1105/5000][190/535][113940] Loss_D: -0.021790 Loss_G: 0.000325 Loss_D_real: -0.026811 Loss_D_fake -0.005020
[1105/5000][195/535][113941] Loss_D: -0.021493 Loss_G: 0.016816 Loss_D_real: -0.020585 Loss_D_fake 0.000908
[1105/5000][200/535][113942] Loss_D: -0.019708 Loss_G: -0.006429 Loss_D_real: 0.005314 Loss_D_fake 0.025023
[1105/5000][205/535][113943] Loss_D: -0.020886 Loss_G: 0.019255 Loss_D_real: -0.031960 Loss_D_fake -0.011074
[1105/5000][210/535][113944] Loss_D: -0.021622 Loss_G: 0.000826 Loss_D_real: -0.004227 Loss_D_fake 0.017395
[1105/5000][215/535][113945] Loss_D: -0.022394 Loss_G: 0.002953 Loss_D_real: -0.018812 Loss_D_fake 0.003582
[1105/5000][220/535][113946] Loss_D: -0.020433 Loss_G: 0.002039 Loss_D_real: -0.020303 Loss_D_fake 0.000130
[1105/5000][225/535][113947] Loss_D: -0.020388 Loss_G: 0.014610 Loss_D_real: -0.018795 Loss_D_fake 0.001593
[1105/5000][230/535][113948] Loss_D: -0.022587 Loss_G: 0.001781 Loss_D_real: -0.006366 Loss_D_fake 0.016222
[1105/5000][235/535][113949] Loss_D: -0.021470 Loss_G: -0.001209 Loss_D_real: -0.006557 Loss_D_fake 0.014913
[1105/5000][240/535][113950] Loss_D: -0.022267 Loss_G: 0.010063 Loss_D_real: -0.017240 Loss_D_fake 0.005027
[1105/5000][245/535][113951] Loss_D: -0.021159 Loss_G: 0.008448 Loss_D_real: -0.013036 Loss_D_fake 0.008123
[1105/5000][250/535][113952] Loss_D: -0.022043 Loss_G: 0.015101 Loss_D_real: -0.027387 Loss_D_fake -0.005344
[1105/5000][255/535][113953] Loss_D: -0.020921 Loss_G: -0.003955 Loss_D_real: -0.015883 Loss_D_fake 0.005038
[1105/5000][260/535][113954] Loss_D: -0.021137 Loss_G: 0.012482 Loss_D_real: -0.027544 Loss_D_fake -0.006407
[1105/5000][265/535][113955] Loss_D: -0.020242 Loss_G: 0.029872 Loss_D_real: -0.038582 Loss_D_fake -0.018339
[1105/5000][270/535][113956] Loss_D: -0.021194 Loss_G: 0.014238 Loss_D_real: -0.018291 Loss_D_fake 0.002904
[1105/5000][275/535][113957] Loss_D: -0.020317 Loss_G: 0.008997 Loss_D_real: -0.008632 Loss_D_fake 0.011685
[1105/5000][280/535][113958] Loss_D: -0.020976 Loss_G: 0.010161 Loss_D_real: -0.028899 Loss_D_fake -0.007923
[1105/5000][285/535][113959] Loss_D: -0.020551 Loss_G: 0.001541 Loss_D_real: -0.013179 Loss_D_fake 0.007373
[1105/5000][290/535][113960] Loss_D: -0.020415 Loss_G: -0.001845 Loss_D_real: -0.017516 Loss_D_fake 0.002899
[1105/5000][295/535][113961] Loss_D: -0.021731 Loss_G: 0.019554 Loss_D_real: -0.028059 Loss_D_fake -0.006327
[1105/5000][300/535][113962] Loss_D: -0.021337 Loss_G: 0.005735 Loss_D_real: -0.013578 Loss_D_fake 0.007758
[1105/5000][305/535][113963] Loss_D: -0.021569 Loss_G: 0.004404 Loss_D_real: -0.013416 Loss_D_fake 0.008153
[1105/5000][310/535][113964] Loss_D: -0.021368 Loss_G: 0.022102 Loss_D_real: -0.022207 Loss_D_fake -0.000839
[1105/5000][315/535][113965] Loss_D: -0.021469 Loss_G: 0.001530 Loss_D_real: -0.006895 Loss_D_fake 0.014574
[1105/5000][320/535][113966] Loss_D: -0.021774 Loss_G: -0.002996 Loss_D_real: -0.014526 Loss_D_fake 0.007248
[1105/5000][325/535][113967] Loss_D: -0.021990 Loss_G: 0.009573 Loss_D_real: -0.016642 Loss_D_fake 0.005348
[1105/5000][330/535][113968] Loss_D: -0.021046 Loss_G: -0.005013 Loss_D_real: -0.012824 Loss_D_fake 0.008222
[1105/5000][335/535][113969] Loss_D: -0.021114 Loss_G: 0.007776 Loss_D_real: -0.011130 Loss_D_fake 0.009984
[1105/5000][340/535][113970] Loss_D: -0.020137 Loss_G: 0.027884 Loss_D_real: -0.024730 Loss_D_fake -0.004592
[1105/5000][345/535][113971] Loss_D: -0.021191 Loss_G: 0.005599 Loss_D_real: -0.023273 Loss_D_fake -0.002082
[1105/5000][350/535][113972] Loss_D: -0.022011 Loss_G: 0.000534 Loss_D_real: -0.009285 Loss_D_fake 0.012726
[1105/5000][355/535][113973] Loss_D: -0.021243 Loss_G: 0.025560 Loss_D_real: -0.029167 Loss_D_fake -0.007923
[1105/5000][360/535][113974] Loss_D: -0.023577 Loss_G: -0.003838 Loss_D_real: -0.013060 Loss_D_fake 0.010517
[1105/5000][365/535][113975] Loss_D: -0.020935 Loss_G: 0.007705 Loss_D_real: -0.013289 Loss_D_fake 0.007646
[1105/5000][370/535][113976] Loss_D: -0.021035 Loss_G: 0.031263 Loss_D_real: -0.024961 Loss_D_fake -0.003926
[1105/5000][375/535][113977] Loss_D: -0.020094 Loss_G: 0.013375 Loss_D_real: -0.024539 Loss_D_fake -0.004445
[1105/5000][380/535][113978] Loss_D: -0.022099 Loss_G: 0.010954 Loss_D_real: -0.029247 Loss_D_fake -0.007148
[1105/5000][385/535][113979] Loss_D: -0.019938 Loss_G: -0.007347 Loss_D_real: -0.005515 Loss_D_fake 0.014423
[1105/5000][390/535][113980] Loss_D: -0.020898 Loss_G: 0.013864 Loss_D_real: -0.019967 Loss_D_fake 0.000931
[1105/5000][395/535][113981] Loss_D: -0.021134 Loss_G: 0.011032 Loss_D_real: -0.016901 Loss_D_fake 0.004233
[1105/5000][400/535][113982] Loss_D: -0.020090 Loss_G: 0.014296 Loss_D_real: -0.015532 Loss_D_fake 0.004558
[1105/5000][405/535][113983] Loss_D: -0.020692 Loss_G: -0.002515 Loss_D_real: -0.013028 Loss_D_fake 0.007664
[1105/5000][410/535][113984] Loss_D: -0.021738 Loss_G: 0.021336 Loss_D_real: -0.022729 Loss_D_fake -0.000991
[1105/5000][415/535][113985] Loss_D: -0.022569 Loss_G: 0.010346 Loss_D_real: -0.018625 Loss_D_fake 0.003944
[1105/5000][420/535][113986] Loss_D: -0.020936 Loss_G: 0.010197 Loss_D_real: -0.022837 Loss_D_fake -0.001901
[1105/5000][425/535][113987] Loss_D: -0.020538 Loss_G: 0.021169 Loss_D_real: -0.027713 Loss_D_fake -0.007175
[1105/5000][430/535][113988] Loss_D: -0.022286 Loss_G: 0.007884 Loss_D_real: -0.015923 Loss_D_fake 0.006364
[1105/5000][435/535][113989] Loss_D: -0.022798 Loss_G: 0.008522 Loss_D_real: -0.026387 Loss_D_fake -0.003590
[1105/5000][440/535][113990] Loss_D: -0.018523 Loss_G: 0.028874 Loss_D_real: -0.042950 Loss_D_fake -0.024427
[1105/5000][445/535][113991] Loss_D: -0.021347 Loss_G: -0.005031 Loss_D_real: -0.018623 Loss_D_fake 0.002724
[1105/5000][450/535][113992] Loss_D: -0.019782 Loss_G: 0.027640 Loss_D_real: -0.038142 Loss_D_fake -0.018360
[1105/5000][455/535][113993] Loss_D: -0.021867 Loss_G: 0.012018 Loss_D_real: -0.020940 Loss_D_fake 0.000927
[1105/5000][460/535][113994] Loss_D: -0.021684 Loss_G: 0.014055 Loss_D_real: -0.016698 Loss_D_fake 0.004986
[1105/5000][465/535][113995] Loss_D: -0.022607 Loss_G: 0.008423 Loss_D_real: -0.025050 Loss_D_fake -0.002443
[1105/5000][470/535][113996] Loss_D: -0.022771 Loss_G: -0.007909 Loss_D_real: -0.004314 Loss_D_fake 0.018457
[1105/5000][475/535][113997] Loss_D: -0.020720 Loss_G: -0.008240 Loss_D_real: 0.001977 Loss_D_fake 0.022697
[1105/5000][480/535][113998] Loss_D: -0.022171 Loss_G: -0.002980 Loss_D_real: -0.016132 Loss_D_fake 0.006039
[1105/5000][485/535][113999] Loss_D: -0.021673 Loss_G: 0.024984 Loss_D_real: -0.013947 Loss_D_fake 0.007726
[1105/5000][490/535][114000] Loss_D: -0.019617 Loss_G: 0.021405 Loss_D_real: -0.034970 Loss_D_fake -0.015353
[1105/5000][535/535][114001] Loss_D: -0.020778 Loss_G: 0.007327 Loss_D_real: -0.021957 Loss_D_fake -0.001179
[1106/5000][5/535][114002] Loss_D: -0.023401 Loss_G: -0.019299 Loss_D_real: -0.017650 Loss_D_fake 0.005752
[1106/5000][10/535][114003] Loss_D: -0.021098 Loss_G: 0.012914 Loss_D_real: -0.001524 Loss_D_fake 0.019574
[1106/5000][15/535][114004] Loss_D: -0.021788 Loss_G: -0.009900 Loss_D_real: -0.001613 Loss_D_fake 0.020174
[1106/5000][20/535][114005] Loss_D: -0.021099 Loss_G: 0.011175 Loss_D_real: -0.018850 Loss_D_fake 0.002249
[1106/5000][25/535][114006] Loss_D: -0.020088 Loss_G: -0.010338 Loss_D_real: -0.006557 Loss_D_fake 0.013531
[1106/5000][30/535][114007] Loss_D: -0.021400 Loss_G: 0.004886 Loss_D_real: -0.010813 Loss_D_fake 0.010586
[1106/5000][35/535][114008] Loss_D: -0.018286 Loss_G: 0.020822 Loss_D_real: -0.029938 Loss_D_fake -0.011653
[1106/5000][40/535][114009] Loss_D: -0.021484 Loss_G: 0.031129 Loss_D_real: -0.025464 Loss_D_fake -0.003980
[1106/5000][45/535][114010] Loss_D: -0.020106 Loss_G: 0.011116 Loss_D_real: -0.022237 Loss_D_fake -0.002131
[1106/5000][50/535][114011] Loss_D: -0.020960 Loss_G: 0.013790 Loss_D_real: -0.019013 Loss_D_fake 0.001947
[1106/5000][55/535][114012] Loss_D: -0.020392 Loss_G: 0.007163 Loss_D_real: -0.023599 Loss_D_fake -0.003207
[1106/5000][60/535][114013] Loss_D: -0.022030 Loss_G: 0.002187 Loss_D_real: -0.008342 Loss_D_fake 0.013688
[1106/5000][65/535][114014] Loss_D: -0.019788 Loss_G: -0.013758 Loss_D_real: -0.004136 Loss_D_fake 0.015653
[1106/5000][70/535][114015] Loss_D: -0.020121 Loss_G: 0.004228 Loss_D_real: -0.002792 Loss_D_fake 0.017329
[1106/5000][75/535][114016] Loss_D: -0.020747 Loss_G: 0.015254 Loss_D_real: -0.021540 Loss_D_fake -0.000794
[1106/5000][80/535][114017] Loss_D: -0.019820 Loss_G: -0.002251 Loss_D_real: -0.010854 Loss_D_fake 0.008966
[1106/5000][85/535][114018] Loss_D: -0.022032 Loss_G: -0.009611 Loss_D_real: -0.004806 Loss_D_fake 0.017227
[1106/5000][90/535][114019] Loss_D: -0.021395 Loss_G: 0.010869 Loss_D_real: -0.021632 Loss_D_fake -0.000238
[1106/5000][95/535][114020] Loss_D: -0.021438 Loss_G: 0.011870 Loss_D_real: -0.022723 Loss_D_fake -0.001285
[1106/5000][100/535][114021] Loss_D: -0.021052 Loss_G: 0.010427 Loss_D_real: -0.033447 Loss_D_fake -0.012395
[1106/5000][105/535][114022] Loss_D: -0.022175 Loss_G: 0.012718 Loss_D_real: -0.020868 Loss_D_fake 0.001307
[1106/5000][110/535][114023] Loss_D: -0.021055 Loss_G: 0.004675 Loss_D_real: -0.028812 Loss_D_fake -0.007757
[1106/5000][115/535][114024] Loss_D: -0.021710 Loss_G: 0.011170 Loss_D_real: -0.031784 Loss_D_fake -0.010074
[1106/5000][120/535][114025] Loss_D: -0.021473 Loss_G: 0.015073 Loss_D_real: -0.024324 Loss_D_fake -0.002851
[1106/5000][125/535][114026] Loss_D: -0.023760 Loss_G: 0.011500 Loss_D_real: -0.017616 Loss_D_fake 0.006143
[1106/5000][130/535][114027] Loss_D: -0.022494 Loss_G: 0.005581 Loss_D_real: -0.032558 Loss_D_fake -0.010064
[1106/5000][135/535][114028] Loss_D: -0.021609 Loss_G: 0.024131 Loss_D_real: -0.027530 Loss_D_fake -0.005921
[1106/5000][140/535][114029] Loss_D: -0.020316 Loss_G: 0.029910 Loss_D_real: -0.029518 Loss_D_fake -0.009202
[1106/5000][145/535][114030] Loss_D: -0.020179 Loss_G: 0.011365 Loss_D_real: -0.017176 Loss_D_fake 0.003003
[1106/5000][150/535][114031] Loss_D: -0.020687 Loss_G: 0.011538 Loss_D_real: -0.019347 Loss_D_fake 0.001340
[1106/5000][155/535][114032] Loss_D: -0.021802 Loss_G: 0.005973 Loss_D_real: -0.018687 Loss_D_fake 0.003115
[1106/5000][160/535][114033] Loss_D: -0.021431 Loss_G: -0.006066 Loss_D_real: -0.015222 Loss_D_fake 0.006209
[1106/5000][165/535][114034] Loss_D: -0.022060 Loss_G: 0.014997 Loss_D_real: -0.020916 Loss_D_fake 0.001144
[1106/5000][170/535][114035] Loss_D: -0.020078 Loss_G: 0.015504 Loss_D_real: -0.025952 Loss_D_fake -0.005874
[1106/5000][175/535][114036] Loss_D: -0.021886 Loss_G: 0.018414 Loss_D_real: -0.028376 Loss_D_fake -0.006490
[1106/5000][180/535][114037] Loss_D: -0.020850 Loss_G: 0.010066 Loss_D_real: -0.013818 Loss_D_fake 0.007032
[1106/5000][185/535][114038] Loss_D: -0.021103 Loss_G: 0.000702 Loss_D_real: -0.018970 Loss_D_fake 0.002132
[1106/5000][190/535][114039] Loss_D: -0.021477 Loss_G: -0.014862 Loss_D_real: -0.006150 Loss_D_fake 0.015328
[1106/5000][195/535][114040] Loss_D: -0.020008 Loss_G: 0.005158 Loss_D_real: -0.015807 Loss_D_fake 0.004201
[1106/5000][200/535][114041] Loss_D: -0.022171 Loss_G: 0.006974 Loss_D_real: -0.014192 Loss_D_fake 0.007979
[1106/5000][205/535][114042] Loss_D: -0.021881 Loss_G: 0.010734 Loss_D_real: -0.018575 Loss_D_fake 0.003306
[1106/5000][210/535][114043] Loss_D: -0.021389 Loss_G: 0.023711 Loss_D_real: -0.011909 Loss_D_fake 0.009480
[1106/5000][215/535][114044] Loss_D: -0.022209 Loss_G: 0.003792 Loss_D_real: -0.007256 Loss_D_fake 0.014953
[1106/5000][220/535][114045] Loss_D: -0.021856 Loss_G: 0.005621 Loss_D_real: -0.023132 Loss_D_fake -0.001276
[1106/5000][225/535][114046] Loss_D: -0.021368 Loss_G: 0.005427 Loss_D_real: -0.008930 Loss_D_fake 0.012438
[1106/5000][230/535][114047] Loss_D: -0.022078 Loss_G: -0.000957 Loss_D_real: -0.019282 Loss_D_fake 0.002796
[1106/5000][235/535][114048] Loss_D: -0.021422 Loss_G: 0.002093 Loss_D_real: -0.004591 Loss_D_fake 0.016831
[1106/5000][240/535][114049] Loss_D: -0.021976 Loss_G: 0.018326 Loss_D_real: -0.018888 Loss_D_fake 0.003088
[1106/5000][245/535][114050] Loss_D: -0.020875 Loss_G: 0.014390 Loss_D_real: -0.029243 Loss_D_fake -0.008368
[1106/5000][250/535][114051] Loss_D: -0.022361 Loss_G: 0.011979 Loss_D_real: -0.027447 Loss_D_fake -0.005086
[1106/5000][255/535][114052] Loss_D: -0.021733 Loss_G: 0.011998 Loss_D_real: -0.021422 Loss_D_fake 0.000311
[1106/5000][260/535][114053] Loss_D: -0.022823 Loss_G: -0.000639 Loss_D_real: -0.006918 Loss_D_fake 0.015905
[1106/5000][265/535][114054] Loss_D: -0.020582 Loss_G: 0.011150 Loss_D_real: -0.024859 Loss_D_fake -0.004278
[1106/5000][270/535][114055] Loss_D: -0.022259 Loss_G: 0.006312 Loss_D_real: -0.021967 Loss_D_fake 0.000292
[1106/5000][275/535][114056] Loss_D: -0.020823 Loss_G: 0.016204 Loss_D_real: -0.023608 Loss_D_fake -0.002785
[1106/5000][280/535][114057] Loss_D: -0.022019 Loss_G: 0.018785 Loss_D_real: -0.024427 Loss_D_fake -0.002409
[1106/5000][285/535][114058] Loss_D: -0.021943 Loss_G: 0.015989 Loss_D_real: -0.030089 Loss_D_fake -0.008147
[1106/5000][290/535][114059] Loss_D: -0.023049 Loss_G: -0.003197 Loss_D_real: -0.016644 Loss_D_fake 0.006405
[1106/5000][295/535][114060] Loss_D: -0.021077 Loss_G: 0.013078 Loss_D_real: -0.020427 Loss_D_fake 0.000650
[1106/5000][300/535][114061] Loss_D: -0.021427 Loss_G: -0.001382 Loss_D_real: -0.008970 Loss_D_fake 0.012458
[1106/5000][305/535][114062] Loss_D: -0.022446 Loss_G: 0.005644 Loss_D_real: -0.017255 Loss_D_fake 0.005190
[1106/5000][310/535][114063] Loss_D: -0.023127 Loss_G: 0.006135 Loss_D_real: -0.019705 Loss_D_fake 0.003422
[1106/5000][315/535][114064] Loss_D: -0.021217 Loss_G: 0.010527 Loss_D_real: -0.029588 Loss_D_fake -0.008370
[1106/5000][320/535][114065] Loss_D: -0.020189 Loss_G: -0.010733 Loss_D_real: -0.010778 Loss_D_fake 0.009410
[1106/5000][325/535][114066] Loss_D: -0.020262 Loss_G: 0.020844 Loss_D_real: -0.027094 Loss_D_fake -0.006832
[1106/5000][330/535][114067] Loss_D: -0.021895 Loss_G: 0.003522 Loss_D_real: -0.015333 Loss_D_fake 0.006562
[1106/5000][335/535][114068] Loss_D: -0.021962 Loss_G: 0.003416 Loss_D_real: -0.015232 Loss_D_fake 0.006730
[1106/5000][340/535][114069] Loss_D: -0.022785 Loss_G: 0.007743 Loss_D_real: -0.003211 Loss_D_fake 0.019575
[1106/5000][345/535][114070] Loss_D: -0.021570 Loss_G: 0.014833 Loss_D_real: -0.026591 Loss_D_fake -0.005021
[1106/5000][350/535][114071] Loss_D: -0.021861 Loss_G: 0.020010 Loss_D_real: -0.028139 Loss_D_fake -0.006278
[1106/5000][355/535][114072] Loss_D: -0.021613 Loss_G: 0.000469 Loss_D_real: -0.016662 Loss_D_fake 0.004952
[1106/5000][360/535][114073] Loss_D: -0.020823 Loss_G: 0.011949 Loss_D_real: -0.011900 Loss_D_fake 0.008923
[1106/5000][365/535][114074] Loss_D: -0.022104 Loss_G: -0.002571 Loss_D_real: -0.013423 Loss_D_fake 0.008682
[1106/5000][370/535][114075] Loss_D: -0.021647 Loss_G: -0.001154 Loss_D_real: -0.004860 Loss_D_fake 0.016787
[1106/5000][375/535][114076] Loss_D: -0.021395 Loss_G: -0.006043 Loss_D_real: -0.014522 Loss_D_fake 0.006873
[1106/5000][380/535][114077] Loss_D: -0.021763 Loss_G: -0.004517 Loss_D_real: -0.012100 Loss_D_fake 0.009663
[1106/5000][385/535][114078] Loss_D: -0.021933 Loss_G: 0.019432 Loss_D_real: -0.029111 Loss_D_fake -0.007178
[1106/5000][390/535][114079] Loss_D: -0.021578 Loss_G: -0.018484 Loss_D_real: -0.007191 Loss_D_fake 0.014387
[1106/5000][395/535][114080] Loss_D: -0.020763 Loss_G: -0.001231 Loss_D_real: 0.000263 Loss_D_fake 0.021027
[1106/5000][400/535][114081] Loss_D: -0.022003 Loss_G: 0.018787 Loss_D_real: -0.028508 Loss_D_fake -0.006505
[1106/5000][405/535][114082] Loss_D: -0.021262 Loss_G: -0.020934 Loss_D_real: -0.010757 Loss_D_fake 0.010505
[1106/5000][410/535][114083] Loss_D: -0.020227 Loss_G: 0.013778 Loss_D_real: -0.025608 Loss_D_fake -0.005381
[1106/5000][415/535][114084] Loss_D: -0.021969 Loss_G: 0.021572 Loss_D_real: -0.015332 Loss_D_fake 0.006637
[1106/5000][420/535][114085] Loss_D: -0.022094 Loss_G: -0.005676 Loss_D_real: -0.012887 Loss_D_fake 0.009208
[1106/5000][425/535][114086] Loss_D: -0.021793 Loss_G: 0.011784 Loss_D_real: -0.023357 Loss_D_fake -0.001564
[1106/5000][430/535][114087] Loss_D: -0.021546 Loss_G: -0.002292 Loss_D_real: -0.016421 Loss_D_fake 0.005125
[1106/5000][435/535][114088] Loss_D: -0.021143 Loss_G: 0.017347 Loss_D_real: -0.023645 Loss_D_fake -0.002502
[1106/5000][440/535][114089] Loss_D: -0.024358 Loss_G: 0.010603 Loss_D_real: -0.010854 Loss_D_fake 0.013505
[1106/5000][445/535][114090] Loss_D: -0.020006 Loss_G: 0.017589 Loss_D_real: -0.042088 Loss_D_fake -0.022083
[1106/5000][450/535][114091] Loss_D: -0.020819 Loss_G: -0.000807 Loss_D_real: -0.015983 Loss_D_fake 0.004836
[1106/5000][455/535][114092] Loss_D: -0.021135 Loss_G: 0.006464 Loss_D_real: -0.008989 Loss_D_fake 0.012146
[1106/5000][460/535][114093] Loss_D: -0.021637 Loss_G: -0.002343 Loss_D_real: -0.009439 Loss_D_fake 0.012199
[1106/5000][465/535][114094] Loss_D: -0.021275 Loss_G: 0.017482 Loss_D_real: -0.028241 Loss_D_fake -0.006966
[1106/5000][470/535][114095] Loss_D: -0.021676 Loss_G: 0.007059 Loss_D_real: -0.022544 Loss_D_fake -0.000868
[1106/5000][475/535][114096] Loss_D: -0.022605 Loss_G: 0.013765 Loss_D_real: -0.023482 Loss_D_fake -0.000877
[1106/5000][480/535][114097] Loss_D: -0.022573 Loss_G: 0.013406 Loss_D_real: -0.026572 Loss_D_fake -0.003999
[1106/5000][485/535][114098] Loss_D: -0.021802 Loss_G: 0.019060 Loss_D_real: -0.024022 Loss_D_fake -0.002220
[1106/5000][490/535][114099] Loss_D: -0.022043 Loss_G: 0.010732 Loss_D_real: -0.026376 Loss_D_fake -0.004332
[1106/5000][495/535][114100] Loss_D: -0.022288 Loss_G: 0.019770 Loss_D_real: -0.031980 Loss_D_fake -0.009692
[1106/5000][500/535][114101] Loss_D: -0.021668 Loss_G: 0.008682 Loss_D_real: -0.018176 Loss_D_fake 0.003492
[1106/5000][505/535][114102] Loss_D: -0.021863 Loss_G: 0.005104 Loss_D_real: -0.011279 Loss_D_fake 0.010584
[1106/5000][510/535][114103] Loss_D: -0.021682 Loss_G: 0.021011 Loss_D_real: -0.023432 Loss_D_fake -0.001750
[1106/5000][515/535][114104] Loss_D: -0.019020 Loss_G: 0.000459 Loss_D_real: -0.002326 Loss_D_fake 0.016694
[1106/5000][520/535][114105] Loss_D: -0.020865 Loss_G: 0.014760 Loss_D_real: -0.015816 Loss_D_fake 0.005049
[1106/5000][525/535][114106] Loss_D: -0.020620 Loss_G: -0.014789 Loss_D_real: -0.005129 Loss_D_fake 0.015491
[1106/5000][530/535][114107] Loss_D: -0.019991 Loss_G: 0.012191 Loss_D_real: -0.031429 Loss_D_fake -0.011438
[1106/5000][535/535][114108] Loss_D: -0.019329 Loss_G: 0.020195 Loss_D_real: -0.019523 Loss_D_fake -0.000193
[1107/5000][5/535][114109] Loss_D: -0.021014 Loss_G: 0.006333 Loss_D_real: -0.027208 Loss_D_fake -0.006195
[1107/5000][10/535][114110] Loss_D: -0.021824 Loss_G: 0.021903 Loss_D_real: -0.027633 Loss_D_fake -0.005810
[1107/5000][15/535][114111] Loss_D: -0.021336 Loss_G: 0.000711 Loss_D_real: -0.018434 Loss_D_fake 0.002903
[1107/5000][20/535][114112] Loss_D: -0.020092 Loss_G: 0.024068 Loss_D_real: -0.032549 Loss_D_fake -0.012457
[1107/5000][25/535][114113] Loss_D: -0.021239 Loss_G: -0.004302 Loss_D_real: -0.016564 Loss_D_fake 0.004675
[1107/5000][30/535][114114] Loss_D: -0.020643 Loss_G: 0.012691 Loss_D_real: -0.023468 Loss_D_fake -0.002825
[1107/5000][35/535][114115] Loss_D: -0.021897 Loss_G: 0.019586 Loss_D_real: -0.023093 Loss_D_fake -0.001197
[1107/5000][40/535][114116] Loss_D: -0.022760 Loss_G: 0.002778 Loss_D_real: -0.024203 Loss_D_fake -0.001443
[1107/5000][45/535][114117] Loss_D: -0.021402 Loss_G: 0.016102 Loss_D_real: -0.023410 Loss_D_fake -0.002008
[1107/5000][50/535][114118] Loss_D: -0.020708 Loss_G: 0.020177 Loss_D_real: -0.019881 Loss_D_fake 0.000827
[1107/5000][55/535][114119] Loss_D: -0.021122 Loss_G: 0.004817 Loss_D_real: -0.019105 Loss_D_fake 0.002017
[1107/5000][60/535][114120] Loss_D: -0.020765 Loss_G: 0.016745 Loss_D_real: -0.018381 Loss_D_fake 0.002384
[1107/5000][65/535][114121] Loss_D: -0.021306 Loss_G: -0.003203 Loss_D_real: -0.006778 Loss_D_fake 0.014529
[1107/5000][70/535][114122] Loss_D: -0.021781 Loss_G: 0.002236 Loss_D_real: -0.012735 Loss_D_fake 0.009047
[1107/5000][75/535][114123] Loss_D: -0.020292 Loss_G: 0.021370 Loss_D_real: -0.015698 Loss_D_fake 0.004593
[1107/5000][80/535][114124] Loss_D: -0.022703 Loss_G: 0.014962 Loss_D_real: -0.019682 Loss_D_fake 0.003021
[1107/5000][85/535][114125] Loss_D: -0.021005 Loss_G: 0.004950 Loss_D_real: -0.016271 Loss_D_fake 0.004734
[1107/5000][90/535][114126] Loss_D: -0.020552 Loss_G: 0.012039 Loss_D_real: -0.025322 Loss_D_fake -0.004769
[1107/5000][95/535][114127] Loss_D: -0.021245 Loss_G: -0.015976 Loss_D_real: -0.013879 Loss_D_fake 0.007366
[1107/5000][100/535][114128] Loss_D: -0.020464 Loss_G: -0.009919 Loss_D_real: -0.007058 Loss_D_fake 0.013406
[1107/5000][105/535][114129] Loss_D: -0.021188 Loss_G: -0.004322 Loss_D_real: -0.009767 Loss_D_fake 0.011421
[1107/5000][110/535][114130] Loss_D: -0.021380 Loss_G: 0.022889 Loss_D_real: -0.023728 Loss_D_fake -0.002348
[1107/5000][115/535][114131] Loss_D: -0.019984 Loss_G: 0.009427 Loss_D_real: -0.019021 Loss_D_fake 0.000963
[1107/5000][120/535][114132] Loss_D: -0.021363 Loss_G: 0.004835 Loss_D_real: -0.010235 Loss_D_fake 0.011129
[1107/5000][125/535][114133] Loss_D: -0.022464 Loss_G: -0.012442 Loss_D_real: -0.005073 Loss_D_fake 0.017391
[1107/5000][130/535][114134] Loss_D: -0.022351 Loss_G: -0.000384 Loss_D_real: -0.007910 Loss_D_fake 0.014441
[1107/5000][135/535][114135] Loss_D: -0.021210 Loss_G: 0.015492 Loss_D_real: -0.026803 Loss_D_fake -0.005592
[1107/5000][140/535][114136] Loss_D: -0.021969 Loss_G: -0.011129 Loss_D_real: -0.006562 Loss_D_fake 0.015407
[1107/5000][145/535][114137] Loss_D: -0.021602 Loss_G: 0.025301 Loss_D_real: -0.029545 Loss_D_fake -0.007943
[1107/5000][150/535][114138] Loss_D: -0.021497 Loss_G: 0.005569 Loss_D_real: -0.016199 Loss_D_fake 0.005299
[1107/5000][155/535][114139] Loss_D: -0.020641 Loss_G: 0.015400 Loss_D_real: -0.022307 Loss_D_fake -0.001666
[1107/5000][160/535][114140] Loss_D: -0.021490 Loss_G: -0.018289 Loss_D_real: -0.005120 Loss_D_fake 0.016370
[1107/5000][165/535][114141] Loss_D: -0.020377 Loss_G: 0.010949 Loss_D_real: -0.029855 Loss_D_fake -0.009478
[1107/5000][170/535][114142] Loss_D: -0.022096 Loss_G: -0.003380 Loss_D_real: -0.009830 Loss_D_fake 0.012266
[1107/5000][175/535][114143] Loss_D: -0.021228 Loss_G: 0.000191 Loss_D_real: -0.013554 Loss_D_fake 0.007675
[1107/5000][180/535][114144] Loss_D: -0.020431 Loss_G: 0.012700 Loss_D_real: -0.015540 Loss_D_fake 0.004891
[1107/5000][185/535][114145] Loss_D: -0.020867 Loss_G: -0.000742 Loss_D_real: -0.028273 Loss_D_fake -0.007406
[1107/5000][190/535][114146] Loss_D: -0.022308 Loss_G: 0.017787 Loss_D_real: -0.023756 Loss_D_fake -0.001448
[1107/5000][195/535][114147] Loss_D: -0.020949 Loss_G: 0.004474 Loss_D_real: -0.018049 Loss_D_fake 0.002900
[1107/5000][200/535][114148] Loss_D: -0.019809 Loss_G: 0.009127 Loss_D_real: -0.012710 Loss_D_fake 0.007099
[1107/5000][205/535][114149] Loss_D: -0.022332 Loss_G: 0.007042 Loss_D_real: -0.015282 Loss_D_fake 0.007049
[1107/5000][210/535][114150] Loss_D: -0.021802 Loss_G: -0.000182 Loss_D_real: -0.013024 Loss_D_fake 0.008778
[1107/5000][215/535][114151] Loss_D: -0.022724 Loss_G: 0.008112 Loss_D_real: -0.017349 Loss_D_fake 0.005376
[1107/5000][220/535][114152] Loss_D: -0.019674 Loss_G: 0.023018 Loss_D_real: -0.035104 Loss_D_fake -0.015429
[1107/5000][225/535][114153] Loss_D: -0.023490 Loss_G: -0.001082 Loss_D_real: -0.020476 Loss_D_fake 0.003013
[1107/5000][230/535][114154] Loss_D: -0.022468 Loss_G: 0.012625 Loss_D_real: -0.028882 Loss_D_fake -0.006415
[1107/5000][235/535][114155] Loss_D: -0.021814 Loss_G: 0.009902 Loss_D_real: -0.020623 Loss_D_fake 0.001191
[1107/5000][240/535][114156] Loss_D: -0.022313 Loss_G: 0.019023 Loss_D_real: -0.018694 Loss_D_fake 0.003620
[1107/5000][245/535][114157] Loss_D: -0.021230 Loss_G: 0.004355 Loss_D_real: -0.012453 Loss_D_fake 0.008777
[1107/5000][250/535][114158] Loss_D: -0.020011 Loss_G: 0.007505 Loss_D_real: -0.025603 Loss_D_fake -0.005592
[1107/5000][255/535][114159] Loss_D: -0.020500 Loss_G: -0.005463 Loss_D_real: -0.004867 Loss_D_fake 0.015632
[1107/5000][260/535][114160] Loss_D: -0.020686 Loss_G: 0.001493 Loss_D_real: -0.012527 Loss_D_fake 0.008159
[1107/5000][265/535][114161] Loss_D: -0.021057 Loss_G: 0.025730 Loss_D_real: -0.019383 Loss_D_fake 0.001674
[1107/5000][270/535][114162] Loss_D: -0.021382 Loss_G: -0.016493 Loss_D_real: -0.005334 Loss_D_fake 0.016049
[1107/5000][275/535][114163] Loss_D: -0.020919 Loss_G: 0.018587 Loss_D_real: -0.023301 Loss_D_fake -0.002382
[1107/5000][280/535][114164] Loss_D: -0.020385 Loss_G: 0.002950 Loss_D_real: -0.005836 Loss_D_fake 0.014549
[1107/5000][285/535][114165] Loss_D: -0.022289 Loss_G: 0.017067 Loss_D_real: -0.024734 Loss_D_fake -0.002445
[1107/5000][290/535][114166] Loss_D: -0.019386 Loss_G: -0.010410 Loss_D_real: -0.000613 Loss_D_fake 0.018773
[1107/5000][295/535][114167] Loss_D: -0.020749 Loss_G: 0.022888 Loss_D_real: -0.042102 Loss_D_fake -0.021353
[1107/5000][300/535][114168] Loss_D: -0.020938 Loss_G: 0.009026 Loss_D_real: -0.031856 Loss_D_fake -0.010919
[1107/5000][305/535][114169] Loss_D: -0.021805 Loss_G: 0.009236 Loss_D_real: -0.017595 Loss_D_fake 0.004210
[1107/5000][310/535][114170] Loss_D: -0.021580 Loss_G: 0.001186 Loss_D_real: -0.008854 Loss_D_fake 0.012726
[1107/5000][315/535][114171] Loss_D: -0.021356 Loss_G: 0.004058 Loss_D_real: -0.015037 Loss_D_fake 0.006319
[1107/5000][320/535][114172] Loss_D: -0.020296 Loss_G: 0.011248 Loss_D_real: -0.021964 Loss_D_fake -0.001668
[1107/5000][325/535][114173] Loss_D: -0.021792 Loss_G: 0.018050 Loss_D_real: -0.037806 Loss_D_fake -0.016014
[1107/5000][330/535][114174] Loss_D: -0.021316 Loss_G: 0.012733 Loss_D_real: -0.018502 Loss_D_fake 0.002813
[1107/5000][335/535][114175] Loss_D: -0.021630 Loss_G: 0.015829 Loss_D_real: -0.014640 Loss_D_fake 0.006990
[1107/5000][340/535][114176] Loss_D: -0.021375 Loss_G: 0.018166 Loss_D_real: -0.022560 Loss_D_fake -0.001184
[1107/5000][345/535][114177] Loss_D: -0.021875 Loss_G: 0.002541 Loss_D_real: -0.017179 Loss_D_fake 0.004697
[1107/5000][350/535][114178] Loss_D: -0.021400 Loss_G: 0.023591 Loss_D_real: -0.030873 Loss_D_fake -0.009473
[1107/5000][355/535][114179] Loss_D: -0.021678 Loss_G: 0.020323 Loss_D_real: -0.026788 Loss_D_fake -0.005110
[1107/5000][360/535][114180] Loss_D: -0.022464 Loss_G: -0.003680 Loss_D_real: -0.008081 Loss_D_fake 0.014382
[1107/5000][365/535][114181] Loss_D: -0.019757 Loss_G: 0.018820 Loss_D_real: -0.036375 Loss_D_fake -0.016618
[1107/5000][370/535][114182] Loss_D: -0.021345 Loss_G: -0.008734 Loss_D_real: -0.006272 Loss_D_fake 0.015072
[1107/5000][375/535][114183] Loss_D: -0.022715 Loss_G: 0.018960 Loss_D_real: -0.028578 Loss_D_fake -0.005863
[1107/5000][380/535][114184] Loss_D: -0.021939 Loss_G: 0.005684 Loss_D_real: -0.009902 Loss_D_fake 0.012037
[1107/5000][385/535][114185] Loss_D: -0.020313 Loss_G: 0.021940 Loss_D_real: -0.026206 Loss_D_fake -0.005893
[1107/5000][390/535][114186] Loss_D: -0.021269 Loss_G: -0.001354 Loss_D_real: -0.017195 Loss_D_fake 0.004074
[1107/5000][395/535][114187] Loss_D: -0.021413 Loss_G: 0.014722 Loss_D_real: -0.017728 Loss_D_fake 0.003685
[1107/5000][400/535][114188] Loss_D: -0.018714 Loss_G: 0.024434 Loss_D_real: -0.038440 Loss_D_fake -0.019726
[1107/5000][405/535][114189] Loss_D: -0.021918 Loss_G: -0.004339 Loss_D_real: -0.014236 Loss_D_fake 0.007682
[1107/5000][410/535][114190] Loss_D: -0.021223 Loss_G: 0.001817 Loss_D_real: -0.019700 Loss_D_fake 0.001523
[1107/5000][415/535][114191] Loss_D: -0.021705 Loss_G: -0.006611 Loss_D_real: -0.007048 Loss_D_fake 0.014657
[1107/5000][420/535][114192] Loss_D: -0.022059 Loss_G: 0.024816 Loss_D_real: -0.033042 Loss_D_fake -0.010983
[1107/5000][425/535][114193] Loss_D: -0.021100 Loss_G: 0.013084 Loss_D_real: -0.026940 Loss_D_fake -0.005840
[1107/5000][430/535][114194] Loss_D: -0.022300 Loss_G: 0.009142 Loss_D_real: -0.015129 Loss_D_fake 0.007170
[1107/5000][435/535][114195] Loss_D: -0.021461 Loss_G: -0.006399 Loss_D_real: -0.011902 Loss_D_fake 0.009559
[1107/5000][440/535][114196] Loss_D: -0.021616 Loss_G: -0.006637 Loss_D_real: -0.012162 Loss_D_fake 0.009454
[1107/5000][445/535][114197] Loss_D: -0.021001 Loss_G: 0.015183 Loss_D_real: -0.022993 Loss_D_fake -0.001992
[1107/5000][450/535][114198] Loss_D: -0.022385 Loss_G: 0.020044 Loss_D_real: -0.014673 Loss_D_fake 0.007713
[1107/5000][455/535][114199] Loss_D: -0.021413 Loss_G: 0.012048 Loss_D_real: -0.024283 Loss_D_fake -0.002871
[1107/5000][460/535][114200] Loss_D: -0.022291 Loss_G: 0.003501 Loss_D_real: -0.004067 Loss_D_fake 0.018224
[1107/5000][465/535][114201] Loss_D: -0.020153 Loss_G: 0.034920 Loss_D_real: -0.023378 Loss_D_fake -0.003224
[1107/5000][470/535][114202] Loss_D: -0.021727 Loss_G: 0.010232 Loss_D_real: -0.025935 Loss_D_fake -0.004209
[1107/5000][475/535][114203] Loss_D: -0.021494 Loss_G: -0.000289 Loss_D_real: -0.017601 Loss_D_fake 0.003893
[1107/5000][480/535][114204] Loss_D: -0.020398 Loss_G: -0.006046 Loss_D_real: -0.005087 Loss_D_fake 0.015311
[1107/5000][485/535][114205] Loss_D: -0.020029 Loss_G: 0.007500 Loss_D_real: -0.028576 Loss_D_fake -0.008547
[1107/5000][490/535][114206] Loss_D: -0.020713 Loss_G: -0.009958 Loss_D_real: -0.014845 Loss_D_fake 0.005868
[1107/5000][495/535][114207] Loss_D: -0.021613 Loss_G: 0.013330 Loss_D_real: -0.028807 Loss_D_fake -0.007194
[1107/5000][500/535][114208] Loss_D: -0.021942 Loss_G: 0.017275 Loss_D_real: -0.014367 Loss_D_fake 0.007574
[1107/5000][505/535][114209] Loss_D: -0.020038 Loss_G: -0.005911 Loss_D_real: -0.003790 Loss_D_fake 0.016248
[1107/5000][510/535][114210] Loss_D: -0.020904 Loss_G: 0.003884 Loss_D_real: -0.011881 Loss_D_fake 0.009023
[1107/5000][515/535][114211] Loss_D: -0.021897 Loss_G: 0.006222 Loss_D_real: -0.024745 Loss_D_fake -0.002849
[1107/5000][520/535][114212] Loss_D: -0.021647 Loss_G: 0.009854 Loss_D_real: -0.014861 Loss_D_fake 0.006786
[1107/5000][525/535][114213] Loss_D: -0.020937 Loss_G: 0.013017 Loss_D_real: -0.027270 Loss_D_fake -0.006333
[1107/5000][530/535][114214] Loss_D: -0.021748 Loss_G: 0.022473 Loss_D_real: -0.033020 Loss_D_fake -0.011273
[1107/5000][535/535][114215] Loss_D: -0.022376 Loss_G: 0.004896 Loss_D_real: -0.017820 Loss_D_fake 0.004556
[1108/5000][5/535][114216] Loss_D: -0.021144 Loss_G: 0.015215 Loss_D_real: -0.025842 Loss_D_fake -0.004697
[1108/5000][10/535][114217] Loss_D: -0.022094 Loss_G: 0.014471 Loss_D_real: -0.024557 Loss_D_fake -0.002463
[1108/5000][15/535][114218] Loss_D: -0.021391 Loss_G: 0.017753 Loss_D_real: -0.025543 Loss_D_fake -0.004152
[1108/5000][20/535][114219] Loss_D: -0.021974 Loss_G: 0.013297 Loss_D_real: -0.031911 Loss_D_fake -0.009937
[1108/5000][25/535][114220] Loss_D: -0.022275 Loss_G: 0.010098 Loss_D_real: -0.013193 Loss_D_fake 0.009083
[1108/5000][30/535][114221] Loss_D: -0.020630 Loss_G: -0.004161 Loss_D_real: -0.002859 Loss_D_fake 0.017771
[1108/5000][35/535][114222] Loss_D: -0.021320 Loss_G: 0.019330 Loss_D_real: -0.032118 Loss_D_fake -0.010798
[1108/5000][40/535][114223] Loss_D: -0.021765 Loss_G: 0.014854 Loss_D_real: -0.012209 Loss_D_fake 0.009556
[1108/5000][45/535][114224] Loss_D: -0.022696 Loss_G: 0.007498 Loss_D_real: -0.014703 Loss_D_fake 0.007993
[1108/5000][50/535][114225] Loss_D: -0.022432 Loss_G: -0.008296 Loss_D_real: -0.006785 Loss_D_fake 0.015647
[1108/5000][55/535][114226] Loss_D: -0.021593 Loss_G: 0.012812 Loss_D_real: -0.011542 Loss_D_fake 0.010051
[1108/5000][60/535][114227] Loss_D: -0.021699 Loss_G: 0.008773 Loss_D_real: -0.013920 Loss_D_fake 0.007779
[1108/5000][65/535][114228] Loss_D: -0.021657 Loss_G: 0.003111 Loss_D_real: -0.003827 Loss_D_fake 0.017830
[1108/5000][70/535][114229] Loss_D: -0.021794 Loss_G: 0.011032 Loss_D_real: -0.027950 Loss_D_fake -0.006156
[1108/5000][75/535][114230] Loss_D: -0.022328 Loss_G: 0.015124 Loss_D_real: -0.030058 Loss_D_fake -0.007730
[1108/5000][80/535][114231] Loss_D: -0.022183 Loss_G: 0.009160 Loss_D_real: -0.018522 Loss_D_fake 0.003661
[1108/5000][85/535][114232] Loss_D: -0.020875 Loss_G: -0.023955 Loss_D_real: 0.002928 Loss_D_fake 0.023804
[1108/5000][90/535][114233] Loss_D: -0.022049 Loss_G: 0.008403 Loss_D_real: -0.009685 Loss_D_fake 0.012364
[1108/5000][95/535][114234] Loss_D: -0.019931 Loss_G: 0.012490 Loss_D_real: -0.013893 Loss_D_fake 0.006038
[1108/5000][100/535][114235] Loss_D: -0.021359 Loss_G: -0.005587 Loss_D_real: -0.016450 Loss_D_fake 0.004909
[1108/5000][105/535][114236] Loss_D: -0.020794 Loss_G: 0.004943 Loss_D_real: -0.014462 Loss_D_fake 0.006332
[1108/5000][110/535][114237] Loss_D: -0.021271 Loss_G: 0.007477 Loss_D_real: -0.017599 Loss_D_fake 0.003672
[1108/5000][115/535][114238] Loss_D: -0.020315 Loss_G: 0.008206 Loss_D_real: -0.009565 Loss_D_fake 0.010750
[1108/5000][120/535][114239] Loss_D: -0.021107 Loss_G: -0.004481 Loss_D_real: -0.009820 Loss_D_fake 0.011287
[1108/5000][125/535][114240] Loss_D: -0.020798 Loss_G: 0.008197 Loss_D_real: -0.014150 Loss_D_fake 0.006648
[1108/5000][130/535][114241] Loss_D: -0.021087 Loss_G: 0.012569 Loss_D_real: -0.014951 Loss_D_fake 0.006136
[1108/5000][135/535][114242] Loss_D: -0.020662 Loss_G: 0.015752 Loss_D_real: -0.035966 Loss_D_fake -0.015304
[1108/5000][140/535][114243] Loss_D: -0.021708 Loss_G: 0.002306 Loss_D_real: -0.011729 Loss_D_fake 0.009980
[1108/5000][145/535][114244] Loss_D: -0.020944 Loss_G: 0.016414 Loss_D_real: -0.021561 Loss_D_fake -0.000617
[1108/5000][150/535][114245] Loss_D: -0.021145 Loss_G: 0.010044 Loss_D_real: -0.021777 Loss_D_fake -0.000632
[1108/5000][155/535][114246] Loss_D: -0.021781 Loss_G: -0.002846 Loss_D_real: 0.001014 Loss_D_fake 0.022796
[1108/5000][160/535][114247] Loss_D: -0.021404 Loss_G: 0.026075 Loss_D_real: -0.017863 Loss_D_fake 0.003540
[1108/5000][165/535][114248] Loss_D: -0.020253 Loss_G: -0.012444 Loss_D_real: -0.000297 Loss_D_fake 0.019956
[1108/5000][170/535][114249] Loss_D: -0.019042 Loss_G: 0.024726 Loss_D_real: -0.030365 Loss_D_fake -0.011323
[1108/5000][175/535][114250] Loss_D: -0.022039 Loss_G: 0.000266 Loss_D_real: -0.011192 Loss_D_fake 0.010848
[1108/5000][180/535][114251] Loss_D: -0.021822 Loss_G: 0.002839 Loss_D_real: -0.012762 Loss_D_fake 0.009060
[1108/5000][185/535][114252] Loss_D: -0.023069 Loss_G: 0.002919 Loss_D_real: -0.002473 Loss_D_fake 0.020596
[1108/5000][190/535][114253] Loss_D: -0.021287 Loss_G: 0.020663 Loss_D_real: -0.029580 Loss_D_fake -0.008293
[1108/5000][195/535][114254] Loss_D: -0.021283 Loss_G: 0.005329 Loss_D_real: -0.013416 Loss_D_fake 0.007867
[1108/5000][200/535][114255] Loss_D: -0.021417 Loss_G: 0.011022 Loss_D_real: -0.013693 Loss_D_fake 0.007724
[1108/5000][205/535][114256] Loss_D: -0.021735 Loss_G: -0.003037 Loss_D_real: -0.013568 Loss_D_fake 0.008167
[1108/5000][210/535][114257] Loss_D: -0.022275 Loss_G: 0.017157 Loss_D_real: -0.033359 Loss_D_fake -0.011084
[1108/5000][215/535][114258] Loss_D: -0.022312 Loss_G: 0.002291 Loss_D_real: -0.007828 Loss_D_fake 0.014485
[1108/5000][220/535][114259] Loss_D: -0.020745 Loss_G: 0.014459 Loss_D_real: -0.034041 Loss_D_fake -0.013296
[1108/5000][225/535][114260] Loss_D: -0.023554 Loss_G: 0.001891 Loss_D_real: -0.011716 Loss_D_fake 0.011838
[1108/5000][230/535][114261] Loss_D: -0.022441 Loss_G: 0.011822 Loss_D_real: -0.014766 Loss_D_fake 0.007675
[1108/5000][235/535][114262] Loss_D: -0.021902 Loss_G: 0.022838 Loss_D_real: -0.028680 Loss_D_fake -0.006777
[1108/5000][240/535][114263] Loss_D: -0.021103 Loss_G: 0.010504 Loss_D_real: -0.029671 Loss_D_fake -0.008568
[1108/5000][245/535][114264] Loss_D: -0.022498 Loss_G: 0.009641 Loss_D_real: -0.025829 Loss_D_fake -0.003331
[1108/5000][250/535][114265] Loss_D: -0.022699 Loss_G: -0.007465 Loss_D_real: -0.017200 Loss_D_fake 0.005499
[1108/5000][255/535][114266] Loss_D: -0.021335 Loss_G: 0.000295 Loss_D_real: -0.018084 Loss_D_fake 0.003251
[1108/5000][260/535][114267] Loss_D: -0.021543 Loss_G: 0.013497 Loss_D_real: -0.022042 Loss_D_fake -0.000499
[1108/5000][265/535][114268] Loss_D: -0.021370 Loss_G: -0.016619 Loss_D_real: -0.017439 Loss_D_fake 0.003931
[1108/5000][270/535][114269] Loss_D: -0.022442 Loss_G: 0.012722 Loss_D_real: -0.023190 Loss_D_fake -0.000748
[1108/5000][275/535][114270] Loss_D: -0.021463 Loss_G: -0.000138 Loss_D_real: -0.020665 Loss_D_fake 0.000799
[1108/5000][280/535][114271] Loss_D: -0.021695 Loss_G: 0.001486 Loss_D_real: -0.002465 Loss_D_fake 0.019230
[1108/5000][285/535][114272] Loss_D: -0.021779 Loss_G: 0.014800 Loss_D_real: -0.015679 Loss_D_fake 0.006100
[1108/5000][290/535][114273] Loss_D: -0.021351 Loss_G: 0.014081 Loss_D_real: -0.025259 Loss_D_fake -0.003908
[1108/5000][295/535][114274] Loss_D: -0.022743 Loss_G: 0.012716 Loss_D_real: -0.018514 Loss_D_fake 0.004229
[1108/5000][300/535][114275] Loss_D: -0.020664 Loss_G: 0.015460 Loss_D_real: -0.014454 Loss_D_fake 0.006211
[1108/5000][305/535][114276] Loss_D: -0.019852 Loss_G: 0.017125 Loss_D_real: -0.039364 Loss_D_fake -0.019513
[1108/5000][310/535][114277] Loss_D: -0.021771 Loss_G: 0.001615 Loss_D_real: -0.017900 Loss_D_fake 0.003871
[1108/5000][315/535][114278] Loss_D: -0.021796 Loss_G: 0.010325 Loss_D_real: -0.017322 Loss_D_fake 0.004473
[1108/5000][320/535][114279] Loss_D: -0.021705 Loss_G: 0.021281 Loss_D_real: -0.040516 Loss_D_fake -0.018812
[1108/5000][325/535][114280] Loss_D: -0.021194 Loss_G: -0.008348 Loss_D_real: -0.005628 Loss_D_fake 0.015566
[1108/5000][330/535][114281] Loss_D: -0.020849 Loss_G: 0.029043 Loss_D_real: -0.035162 Loss_D_fake -0.014313
[1108/5000][335/535][114282] Loss_D: -0.020965 Loss_G: 0.024727 Loss_D_real: -0.033504 Loss_D_fake -0.012539
[1108/5000][340/535][114283] Loss_D: -0.019808 Loss_G: -0.005796 Loss_D_real: -0.015079 Loss_D_fake 0.004729
[1108/5000][345/535][114284] Loss_D: -0.022444 Loss_G: 0.015777 Loss_D_real: -0.016209 Loss_D_fake 0.006235
[1108/5000][350/535][114285] Loss_D: -0.020915 Loss_G: 0.001790 Loss_D_real: -0.010935 Loss_D_fake 0.009980
[1108/5000][355/535][114286] Loss_D: -0.020729 Loss_G: -0.008303 Loss_D_real: -0.011512 Loss_D_fake 0.009217
[1108/5000][360/535][114287] Loss_D: -0.020544 Loss_G: -0.002968 Loss_D_real: -0.007977 Loss_D_fake 0.012567
[1108/5000][365/535][114288] Loss_D: -0.020906 Loss_G: 0.011878 Loss_D_real: -0.012095 Loss_D_fake 0.008810
[1108/5000][370/535][114289] Loss_D: -0.020914 Loss_G: -0.003623 Loss_D_real: -0.013713 Loss_D_fake 0.007202
[1108/5000][375/535][114290] Loss_D: -0.021169 Loss_G: 0.015040 Loss_D_real: -0.021445 Loss_D_fake -0.000276
[1108/5000][380/535][114291] Loss_D: -0.021525 Loss_G: 0.014862 Loss_D_real: -0.023015 Loss_D_fake -0.001490
[1108/5000][385/535][114292] Loss_D: -0.020920 Loss_G: 0.010997 Loss_D_real: -0.023478 Loss_D_fake -0.002558
[1108/5000][390/535][114293] Loss_D: -0.021516 Loss_G: -0.007844 Loss_D_real: -0.007355 Loss_D_fake 0.014160
[1108/5000][395/535][114294] Loss_D: -0.021204 Loss_G: -0.000087 Loss_D_real: -0.002833 Loss_D_fake 0.018372
[1108/5000][400/535][114295] Loss_D: -0.021181 Loss_G: 0.016769 Loss_D_real: -0.025262 Loss_D_fake -0.004082
[1108/5000][405/535][114296] Loss_D: -0.020217 Loss_G: -0.003966 Loss_D_real: -0.011994 Loss_D_fake 0.008223
[1108/5000][410/535][114297] Loss_D: -0.022360 Loss_G: 0.007163 Loss_D_real: -0.023056 Loss_D_fake -0.000696
[1108/5000][415/535][114298] Loss_D: -0.022242 Loss_G: 0.000825 Loss_D_real: -0.006923 Loss_D_fake 0.015319
[1108/5000][420/535][114299] Loss_D: -0.022555 Loss_G: 0.015337 Loss_D_real: -0.030781 Loss_D_fake -0.008226
[1108/5000][425/535][114300] Loss_D: -0.021833 Loss_G: 0.010448 Loss_D_real: -0.019311 Loss_D_fake 0.002522
[1108/5000][430/535][114301] Loss_D: -0.023107 Loss_G: -0.005720 Loss_D_real: -0.013665 Loss_D_fake 0.009442
[1108/5000][435/535][114302] Loss_D: -0.021371 Loss_G: 0.007179 Loss_D_real: -0.017781 Loss_D_fake 0.003590
[1108/5000][440/535][114303] Loss_D: -0.022735 Loss_G: 0.006710 Loss_D_real: -0.019617 Loss_D_fake 0.003118
[1108/5000][445/535][114304] Loss_D: -0.022064 Loss_G: 0.018642 Loss_D_real: -0.018450 Loss_D_fake 0.003614
[1108/5000][450/535][114305] Loss_D: -0.021237 Loss_G: 0.007848 Loss_D_real: -0.030164 Loss_D_fake -0.008927
[1108/5000][455/535][114306] Loss_D: -0.021822 Loss_G: 0.014768 Loss_D_real: -0.021285 Loss_D_fake 0.000537
[1108/5000][460/535][114307] Loss_D: -0.020802 Loss_G: -0.001017 Loss_D_real: -0.014014 Loss_D_fake 0.006789
[1108/5000][465/535][114308] Loss_D: -0.020376 Loss_G: 0.024632 Loss_D_real: -0.026431 Loss_D_fake -0.006055
[1108/5000][470/535][114309] Loss_D: -0.021367 Loss_G: -0.002004 Loss_D_real: -0.014943 Loss_D_fake 0.006424
[1108/5000][475/535][114310] Loss_D: -0.020503 Loss_G: -0.000034 Loss_D_real: -0.030838 Loss_D_fake -0.010335
[1108/5000][480/535][114311] Loss_D: -0.021923 Loss_G: 0.007789 Loss_D_real: -0.028528 Loss_D_fake -0.006605
[1108/5000][485/535][114312] Loss_D: -0.022552 Loss_G: 0.007651 Loss_D_real: -0.004392 Loss_D_fake 0.018160
[1108/5000][490/535][114313] Loss_D: -0.021664 Loss_G: -0.000238 Loss_D_real: -0.002018 Loss_D_fake 0.019647
[1108/5000][495/535][114314] Loss_D: -0.021321 Loss_G: -0.004637 Loss_D_real: -0.001769 Loss_D_fake 0.019552
[1108/5000][500/535][114315] Loss_D: -0.022466 Loss_G: 0.014543 Loss_D_real: -0.027562 Loss_D_fake -0.005096
[1108/5000][505/535][114316] Loss_D: -0.022810 Loss_G: 0.013249 Loss_D_real: -0.024167 Loss_D_fake -0.001357
[1108/5000][510/535][114317] Loss_D: -0.021861 Loss_G: 0.020380 Loss_D_real: -0.033526 Loss_D_fake -0.011665
[1108/5000][515/535][114318] Loss_D: -0.022614 Loss_G: 0.028868 Loss_D_real: -0.024943 Loss_D_fake -0.002330
[1108/5000][520/535][114319] Loss_D: -0.021257 Loss_G: 0.016114 Loss_D_real: -0.014659 Loss_D_fake 0.006598
[1108/5000][525/535][114320] Loss_D: -0.021860 Loss_G: -0.003660 Loss_D_real: -0.010562 Loss_D_fake 0.011298
[1108/5000][530/535][114321] Loss_D: -0.021411 Loss_G: 0.017155 Loss_D_real: -0.022840 Loss_D_fake -0.001429
[1108/5000][535/535][114322] Loss_D: -0.020298 Loss_G: -0.006506 Loss_D_real: -0.012695 Loss_D_fake 0.007603
[1109/5000][5/535][114323] Loss_D: -0.020917 Loss_G: -0.003804 Loss_D_real: -0.010531 Loss_D_fake 0.010386
[1109/5000][10/535][114324] Loss_D: -0.020756 Loss_G: -0.004080 Loss_D_real: -0.008366 Loss_D_fake 0.012390
[1109/5000][15/535][114325] Loss_D: -0.023208 Loss_G: 0.017625 Loss_D_real: -0.026413 Loss_D_fake -0.003205
[1109/5000][20/535][114326] Loss_D: -0.020820 Loss_G: 0.031731 Loss_D_real: -0.027975 Loss_D_fake -0.007155
[1109/5000][25/535][114327] Loss_D: -0.021258 Loss_G: -0.002067 Loss_D_real: -0.006126 Loss_D_fake 0.015132
[1109/5000][30/535][114328] Loss_D: -0.022629 Loss_G: 0.015831 Loss_D_real: -0.017712 Loss_D_fake 0.004917
[1109/5000][35/535][114329] Loss_D: -0.022528 Loss_G: -0.002182 Loss_D_real: -0.010220 Loss_D_fake 0.012308
[1109/5000][40/535][114330] Loss_D: -0.021436 Loss_G: 0.011683 Loss_D_real: -0.026910 Loss_D_fake -0.005474
[1109/5000][45/535][114331] Loss_D: -0.021274 Loss_G: 0.022716 Loss_D_real: -0.031298 Loss_D_fake -0.010024
[1109/5000][50/535][114332] Loss_D: -0.021961 Loss_G: -0.002467 Loss_D_real: -0.016277 Loss_D_fake 0.005683
[1109/5000][55/535][114333] Loss_D: -0.020869 Loss_G: 0.016697 Loss_D_real: -0.021337 Loss_D_fake -0.000467
[1109/5000][60/535][114334] Loss_D: -0.020518 Loss_G: -0.002754 Loss_D_real: 0.011050 Loss_D_fake 0.031568
[1109/5000][65/535][114335] Loss_D: -0.020815 Loss_G: -0.005888 Loss_D_real: -0.005159 Loss_D_fake 0.015655
[1109/5000][70/535][114336] Loss_D: -0.020905 Loss_G: 0.019708 Loss_D_real: -0.026066 Loss_D_fake -0.005160
[1109/5000][75/535][114337] Loss_D: -0.021261 Loss_G: 0.018204 Loss_D_real: -0.022888 Loss_D_fake -0.001626
[1109/5000][80/535][114338] Loss_D: -0.022512 Loss_G: -0.002083 Loss_D_real: -0.015293 Loss_D_fake 0.007219
[1109/5000][85/535][114339] Loss_D: -0.021374 Loss_G: -0.003068 Loss_D_real: -0.020033 Loss_D_fake 0.001341
[1109/5000][90/535][114340] Loss_D: -0.020172 Loss_G: 0.008209 Loss_D_real: -0.018464 Loss_D_fake 0.001708
[1109/5000][95/535][114341] Loss_D: -0.021712 Loss_G: 0.011568 Loss_D_real: -0.018169 Loss_D_fake 0.003544
[1109/5000][100/535][114342] Loss_D: -0.020985 Loss_G: 0.022097 Loss_D_real: -0.027156 Loss_D_fake -0.006171
[1109/5000][105/535][114343] Loss_D: -0.022136 Loss_G: -0.003146 Loss_D_real: -0.003806 Loss_D_fake 0.018330
[1109/5000][110/535][114344] Loss_D: -0.021050 Loss_G: 0.020933 Loss_D_real: -0.033201 Loss_D_fake -0.012151
[1109/5000][115/535][114345] Loss_D: -0.020249 Loss_G: 0.006073 Loss_D_real: -0.008018 Loss_D_fake 0.012231
[1109/5000][120/535][114346] Loss_D: -0.021147 Loss_G: -0.013829 Loss_D_real: -0.006916 Loss_D_fake 0.014231
[1109/5000][125/535][114347] Loss_D: -0.021473 Loss_G: 0.002893 Loss_D_real: -0.020185 Loss_D_fake 0.001289
[1109/5000][130/535][114348] Loss_D: -0.022497 Loss_G: -0.003816 Loss_D_real: -0.002525 Loss_D_fake 0.019971
[1109/5000][135/535][114349] Loss_D: -0.021145 Loss_G: 0.011401 Loss_D_real: -0.021599 Loss_D_fake -0.000454
[1109/5000][140/535][114350] Loss_D: -0.021343 Loss_G: 0.007007 Loss_D_real: -0.025577 Loss_D_fake -0.004234
[1109/5000][145/535][114351] Loss_D: -0.022129 Loss_G: -0.007094 Loss_D_real: -0.010043 Loss_D_fake 0.012085
[1109/5000][150/535][114352] Loss_D: -0.022032 Loss_G: 0.008502 Loss_D_real: -0.013328 Loss_D_fake 0.008704
[1109/5000][155/535][114353] Loss_D: -0.020846 Loss_G: -0.010605 Loss_D_real: -0.001397 Loss_D_fake 0.019449
[1109/5000][160/535][114354] Loss_D: -0.022311 Loss_G: -0.003229 Loss_D_real: -0.005187 Loss_D_fake 0.017124
[1109/5000][165/535][114355] Loss_D: -0.021463 Loss_G: 0.014720 Loss_D_real: -0.015558 Loss_D_fake 0.005905
[1109/5000][170/535][114356] Loss_D: -0.022667 Loss_G: 0.003363 Loss_D_real: -0.007288 Loss_D_fake 0.015379
[1109/5000][175/535][114357] Loss_D: -0.020726 Loss_G: 0.000147 Loss_D_real: -0.000526 Loss_D_fake 0.020200
[1109/5000][180/535][114358] Loss_D: -0.022218 Loss_G: 0.019936 Loss_D_real: -0.025879 Loss_D_fake -0.003661
[1109/5000][185/535][114359] Loss_D: -0.021514 Loss_G: 0.017972 Loss_D_real: -0.023206 Loss_D_fake -0.001691
[1109/5000][190/535][114360] Loss_D: -0.020921 Loss_G: 0.008493 Loss_D_real: -0.019085 Loss_D_fake 0.001836
[1109/5000][195/535][114361] Loss_D: -0.021382 Loss_G: 0.000964 Loss_D_real: -0.013245 Loss_D_fake 0.008136
[1109/5000][200/535][114362] Loss_D: -0.020906 Loss_G: 0.019275 Loss_D_real: -0.027818 Loss_D_fake -0.006912
[1109/5000][205/535][114363] Loss_D: -0.022906 Loss_G: 0.009259 Loss_D_real: -0.027360 Loss_D_fake -0.004454
[1109/5000][210/535][114364] Loss_D: -0.020581 Loss_G: -0.009894 Loss_D_real: -0.017349 Loss_D_fake 0.003232
[1109/5000][215/535][114365] Loss_D: -0.020503 Loss_G: -0.006280 Loss_D_real: -0.009713 Loss_D_fake 0.010791
[1109/5000][220/535][114366] Loss_D: -0.021461 Loss_G: 0.014925 Loss_D_real: -0.033227 Loss_D_fake -0.011766
[1109/5000][225/535][114367] Loss_D: -0.022299 Loss_G: 0.009712 Loss_D_real: -0.017612 Loss_D_fake 0.004687
[1109/5000][230/535][114368] Loss_D: -0.022432 Loss_G: 0.011539 Loss_D_real: -0.019361 Loss_D_fake 0.003070
[1109/5000][235/535][114369] Loss_D: -0.020430 Loss_G: -0.011808 Loss_D_real: -0.013591 Loss_D_fake 0.006840
[1109/5000][240/535][114370] Loss_D: -0.023087 Loss_G: 0.004188 Loss_D_real: -0.020168 Loss_D_fake 0.002919
[1109/5000][245/535][114371] Loss_D: -0.022461 Loss_G: -0.004899 Loss_D_real: -0.013316 Loss_D_fake 0.009146
[1109/5000][250/535][114372] Loss_D: -0.022213 Loss_G: 0.011695 Loss_D_real: -0.011400 Loss_D_fake 0.010813
[1109/5000][255/535][114373] Loss_D: -0.021942 Loss_G: -0.009772 Loss_D_real: -0.007479 Loss_D_fake 0.014463
[1109/5000][260/535][114374] Loss_D: -0.020723 Loss_G: 0.014992 Loss_D_real: -0.017312 Loss_D_fake 0.003411
[1109/5000][265/535][114375] Loss_D: -0.021847 Loss_G: 0.013437 Loss_D_real: -0.023720 Loss_D_fake -0.001873
[1109/5000][270/535][114376] Loss_D: -0.021284 Loss_G: 0.005306 Loss_D_real: -0.012744 Loss_D_fake 0.008540
[1109/5000][275/535][114377] Loss_D: -0.021095 Loss_G: 0.017391 Loss_D_real: -0.037827 Loss_D_fake -0.016732
[1109/5000][280/535][114378] Loss_D: -0.021350 Loss_G: 0.013742 Loss_D_real: -0.014841 Loss_D_fake 0.006509
[1109/5000][285/535][114379] Loss_D: -0.022322 Loss_G: 0.007850 Loss_D_real: -0.019444 Loss_D_fake 0.002878
[1109/5000][290/535][114380] Loss_D: -0.022195 Loss_G: 0.008464 Loss_D_real: -0.020820 Loss_D_fake 0.001375
[1109/5000][295/535][114381] Loss_D: -0.021805 Loss_G: 0.010328 Loss_D_real: -0.020234 Loss_D_fake 0.001571
[1109/5000][300/535][114382] Loss_D: -0.020873 Loss_G: 0.016475 Loss_D_real: -0.031264 Loss_D_fake -0.010391
[1109/5000][305/535][114383] Loss_D: -0.022357 Loss_G: 0.002904 Loss_D_real: -0.015220 Loss_D_fake 0.007137
[1109/5000][310/535][114384] Loss_D: -0.020865 Loss_G: -0.016073 Loss_D_real: 0.000100 Loss_D_fake 0.020965
[1109/5000][315/535][114385] Loss_D: -0.022087 Loss_G: 0.003896 Loss_D_real: -0.005156 Loss_D_fake 0.016931
[1109/5000][320/535][114386] Loss_D: -0.019474 Loss_G: 0.010413 Loss_D_real: -0.013897 Loss_D_fake 0.005577
[1109/5000][325/535][114387] Loss_D: -0.020824 Loss_G: 0.014751 Loss_D_real: -0.033273 Loss_D_fake -0.012450
[1109/5000][330/535][114388] Loss_D: -0.021834 Loss_G: 0.000443 Loss_D_real: -0.014469 Loss_D_fake 0.007365
[1109/5000][335/535][114389] Loss_D: -0.020993 Loss_G: 0.022809 Loss_D_real: -0.022191 Loss_D_fake -0.001198
[1109/5000][340/535][114390] Loss_D: -0.020804 Loss_G: 0.016162 Loss_D_real: -0.011880 Loss_D_fake 0.008924
[1109/5000][345/535][114391] Loss_D: -0.022416 Loss_G: 0.006029 Loss_D_real: -0.015930 Loss_D_fake 0.006485
[1109/5000][350/535][114392] Loss_D: -0.021404 Loss_G: 0.004184 Loss_D_real: -0.017858 Loss_D_fake 0.003546
[1109/5000][355/535][114393] Loss_D: -0.021329 Loss_G: 0.000218 Loss_D_real: -0.009530 Loss_D_fake 0.011799
[1109/5000][360/535][114394] Loss_D: -0.021570 Loss_G: -0.001108 Loss_D_real: -0.014071 Loss_D_fake 0.007499
[1109/5000][365/535][114395] Loss_D: -0.020748 Loss_G: 0.016169 Loss_D_real: -0.023498 Loss_D_fake -0.002750
[1109/5000][370/535][114396] Loss_D: -0.020778 Loss_G: 0.000884 Loss_D_real: -0.017616 Loss_D_fake 0.003162
[1109/5000][375/535][114397] Loss_D: -0.021086 Loss_G: -0.000987 Loss_D_real: -0.011836 Loss_D_fake 0.009250
[1109/5000][380/535][114398] Loss_D: -0.020574 Loss_G: -0.013309 Loss_D_real: 0.002080 Loss_D_fake 0.022653
[1109/5000][385/535][114399] Loss_D: -0.023202 Loss_G: 0.020683 Loss_D_real: -0.023111 Loss_D_fake 0.000091
[1109/5000][390/535][114400] Loss_D: -0.021723 Loss_G: -0.015187 Loss_D_real: 0.006432 Loss_D_fake 0.028156
[1109/5000][395/535][114401] Loss_D: -0.020824 Loss_G: 0.015176 Loss_D_real: -0.019204 Loss_D_fake 0.001620
[1109/5000][400/535][114402] Loss_D: -0.022529 Loss_G: 0.018285 Loss_D_real: -0.035799 Loss_D_fake -0.013270
[1109/5000][405/535][114403] Loss_D: -0.020793 Loss_G: -0.011461 Loss_D_real: 0.000334 Loss_D_fake 0.021126
[1109/5000][410/535][114404] Loss_D: -0.022122 Loss_G: 0.000524 Loss_D_real: -0.009157 Loss_D_fake 0.012964
[1109/5000][415/535][114405] Loss_D: -0.021583 Loss_G: 0.000698 Loss_D_real: -0.007986 Loss_D_fake 0.013597
[1109/5000][420/535][114406] Loss_D: -0.020296 Loss_G: -0.002299 Loss_D_real: -0.005509 Loss_D_fake 0.014787
[1109/5000][425/535][114407] Loss_D: -0.021648 Loss_G: 0.000827 Loss_D_real: -0.004591 Loss_D_fake 0.017057
[1109/5000][430/535][114408] Loss_D: -0.020062 Loss_G: -0.010926 Loss_D_real: -0.011364 Loss_D_fake 0.008698
[1109/5000][435/535][114409] Loss_D: -0.021372 Loss_G: 0.019988 Loss_D_real: -0.023734 Loss_D_fake -0.002363
[1109/5000][440/535][114410] Loss_D: -0.018831 Loss_G: 0.014025 Loss_D_real: -0.031035 Loss_D_fake -0.012203
[1109/5000][445/535][114411] Loss_D: -0.020890 Loss_G: 0.006492 Loss_D_real: -0.011930 Loss_D_fake 0.008960
[1109/5000][450/535][114412] Loss_D: -0.022025 Loss_G: -0.014145 Loss_D_real: 0.003097 Loss_D_fake 0.025122
[1109/5000][455/535][114413] Loss_D: -0.020387 Loss_G: 0.016021 Loss_D_real: -0.024208 Loss_D_fake -0.003821
[1109/5000][460/535][114414] Loss_D: -0.020879 Loss_G: -0.015983 Loss_D_real: -0.010391 Loss_D_fake 0.010487
[1109/5000][465/535][114415] Loss_D: -0.020744 Loss_G: 0.007716 Loss_D_real: -0.011962 Loss_D_fake 0.008782
[1109/5000][470/535][114416] Loss_D: -0.019574 Loss_G: -0.009717 Loss_D_real: -0.003687 Loss_D_fake 0.015887
[1109/5000][475/535][114417] Loss_D: -0.021212 Loss_G: 0.023230 Loss_D_real: -0.027901 Loss_D_fake -0.006689
[1109/5000][480/535][114418] Loss_D: -0.021209 Loss_G: 0.020617 Loss_D_real: -0.015585 Loss_D_fake 0.005624
[1109/5000][485/535][114419] Loss_D: -0.020963 Loss_G: 0.013194 Loss_D_real: -0.013046 Loss_D_fake 0.007917
[1109/5000][490/535][114420] Loss_D: -0.021359 Loss_G: 0.007316 Loss_D_real: -0.018135 Loss_D_fake 0.003225
[1109/5000][495/535][114421] Loss_D: -0.021117 Loss_G: 0.015903 Loss_D_real: -0.029666 Loss_D_fake -0.008549
[1109/5000][500/535][114422] Loss_D: -0.021481 Loss_G: 0.008333 Loss_D_real: -0.015873 Loss_D_fake 0.005608
[1109/5000][505/535][114423] Loss_D: -0.019847 Loss_G: -0.007718 Loss_D_real: 0.005047 Loss_D_fake 0.024895
[1109/5000][510/535][114424] Loss_D: -0.018135 Loss_G: 0.028820 Loss_D_real: -0.031217 Loss_D_fake -0.013082
[1109/5000][515/535][114425] Loss_D: -0.020648 Loss_G: 0.000314 Loss_D_real: -0.003371 Loss_D_fake 0.017277
[1109/5000][520/535][114426] Loss_D: -0.020617 Loss_G: 0.016015 Loss_D_real: -0.022919 Loss_D_fake -0.002302
[1109/5000][525/535][114427] Loss_D: -0.021589 Loss_G: 0.006005 Loss_D_real: -0.012170 Loss_D_fake 0.009419
[1109/5000][530/535][114428] Loss_D: -0.021467 Loss_G: 0.008954 Loss_D_real: -0.022854 Loss_D_fake -0.001387
[1109/5000][535/535][114429] Loss_D: -0.017415 Loss_G: -0.005980 Loss_D_real: -0.015266 Loss_D_fake 0.002150
[1110/5000][5/535][114430] Loss_D: -0.022758 Loss_G: 0.004580 Loss_D_real: -0.025515 Loss_D_fake -0.002757
[1110/5000][10/535][114431] Loss_D: -0.020898 Loss_G: 0.017153 Loss_D_real: -0.021487 Loss_D_fake -0.000589
[1110/5000][15/535][114432] Loss_D: -0.022335 Loss_G: -0.001434 Loss_D_real: -0.018935 Loss_D_fake 0.003400
[1110/5000][20/535][114433] Loss_D: -0.020475 Loss_G: 0.029730 Loss_D_real: -0.034095 Loss_D_fake -0.013621
[1110/5000][25/535][114434] Loss_D: -0.021902 Loss_G: -0.006551 Loss_D_real: -0.004042 Loss_D_fake 0.017860
[1110/5000][30/535][114435] Loss_D: -0.020859 Loss_G: 0.002016 Loss_D_real: -0.025270 Loss_D_fake -0.004411
[1110/5000][35/535][114436] Loss_D: -0.020496 Loss_G: -0.015395 Loss_D_real: -0.001416 Loss_D_fake 0.019081
[1110/5000][40/535][114437] Loss_D: -0.020489 Loss_G: 0.011062 Loss_D_real: -0.015905 Loss_D_fake 0.004583
[1110/5000][45/535][114438] Loss_D: -0.021231 Loss_G: -0.020942 Loss_D_real: -0.002944 Loss_D_fake 0.018287
[1110/5000][50/535][114439] Loss_D: -0.019828 Loss_G: 0.011344 Loss_D_real: -0.030230 Loss_D_fake -0.010402
[1110/5000][55/535][114440] Loss_D: -0.021911 Loss_G: 0.018845 Loss_D_real: -0.021949 Loss_D_fake -0.000038
[1110/5000][60/535][114441] Loss_D: -0.021943 Loss_G: 0.009666 Loss_D_real: -0.020645 Loss_D_fake 0.001298
[1110/5000][65/535][114442] Loss_D: -0.020993 Loss_G: 0.015229 Loss_D_real: -0.023900 Loss_D_fake -0.002908
[1110/5000][70/535][114443] Loss_D: -0.022896 Loss_G: -0.012159 Loss_D_real: -0.005596 Loss_D_fake 0.017301
[1110/5000][75/535][114444] Loss_D: -0.022126 Loss_G: 0.008041 Loss_D_real: -0.024246 Loss_D_fake -0.002119
[1110/5000][80/535][114445] Loss_D: -0.023229 Loss_G: 0.005700 Loss_D_real: -0.011601 Loss_D_fake 0.011628
[1110/5000][85/535][114446] Loss_D: -0.021014 Loss_G: 0.019307 Loss_D_real: -0.020111 Loss_D_fake 0.000902
[1110/5000][90/535][114447] Loss_D: -0.019997 Loss_G: -0.009042 Loss_D_real: 0.006831 Loss_D_fake 0.026828
[1110/5000][95/535][114448] Loss_D: -0.021274 Loss_G: 0.006324 Loss_D_real: -0.028549 Loss_D_fake -0.007276
[1110/5000][100/535][114449] Loss_D: -0.020837 Loss_G: -0.011234 Loss_D_real: -0.005298 Loss_D_fake 0.015539
[1110/5000][105/535][114450] Loss_D: -0.021803 Loss_G: 0.006587 Loss_D_real: -0.011086 Loss_D_fake 0.010717
[1110/5000][110/535][114451] Loss_D: -0.020999 Loss_G: 0.003343 Loss_D_real: -0.014963 Loss_D_fake 0.006036
[1110/5000][115/535][114452] Loss_D: -0.022289 Loss_G: 0.012689 Loss_D_real: -0.017812 Loss_D_fake 0.004477
[1110/5000][120/535][114453] Loss_D: -0.023726 Loss_G: 0.000664 Loss_D_real: -0.023993 Loss_D_fake -0.000266
[1110/5000][125/535][114454] Loss_D: -0.022179 Loss_G: -0.013961 Loss_D_real: -0.004998 Loss_D_fake 0.017180
[1110/5000][130/535][114455] Loss_D: -0.021868 Loss_G: 0.024511 Loss_D_real: -0.013938 Loss_D_fake 0.007930
[1110/5000][135/535][114456] Loss_D: -0.023018 Loss_G: 0.003236 Loss_D_real: -0.008954 Loss_D_fake 0.014064
[1110/5000][140/535][114457] Loss_D: -0.019962 Loss_G: 0.020215 Loss_D_real: -0.024618 Loss_D_fake -0.004656
[1110/5000][145/535][114458] Loss_D: -0.020540 Loss_G: 0.011151 Loss_D_real: -0.015896 Loss_D_fake 0.004644
[1110/5000][150/535][114459] Loss_D: -0.021106 Loss_G: 0.008225 Loss_D_real: -0.015596 Loss_D_fake 0.005510
[1110/5000][155/535][114460] Loss_D: -0.022116 Loss_G: -0.004725 Loss_D_real: -0.010881 Loss_D_fake 0.011235
[1110/5000][160/535][114461] Loss_D: -0.021327 Loss_G: 0.002204 Loss_D_real: -0.022105 Loss_D_fake -0.000778
[1110/5000][165/535][114462] Loss_D: -0.021068 Loss_G: 0.008471 Loss_D_real: -0.003683 Loss_D_fake 0.017386
[1110/5000][170/535][114463] Loss_D: -0.020588 Loss_G: 0.015214 Loss_D_real: -0.027853 Loss_D_fake -0.007265
[1110/5000][175/535][114464] Loss_D: -0.020315 Loss_G: 0.006109 Loss_D_real: -0.011899 Loss_D_fake 0.008416
[1110/5000][180/535][114465] Loss_D: -0.018859 Loss_G: 0.024601 Loss_D_real: -0.022717 Loss_D_fake -0.003857
[1110/5000][185/535][114466] Loss_D: -0.019913 Loss_G: 0.018581 Loss_D_real: -0.020317 Loss_D_fake -0.000404
[1110/5000][190/535][114467] Loss_D: -0.020685 Loss_G: 0.004444 Loss_D_real: -0.014753 Loss_D_fake 0.005932
[1110/5000][195/535][114468] Loss_D: -0.018356 Loss_G: 0.029578 Loss_D_real: -0.026252 Loss_D_fake -0.007896
[1110/5000][200/535][114469] Loss_D: -0.022324 Loss_G: -0.003529 Loss_D_real: -0.010558 Loss_D_fake 0.011765
[1110/5000][205/535][114470] Loss_D: -0.019627 Loss_G: -0.014788 Loss_D_real: -0.013400 Loss_D_fake 0.006226
[1110/5000][210/535][114471] Loss_D: -0.023073 Loss_G: 0.007395 Loss_D_real: -0.024138 Loss_D_fake -0.001065
[1110/5000][215/535][114472] Loss_D: -0.022435 Loss_G: 0.010218 Loss_D_real: -0.014747 Loss_D_fake 0.007688
[1110/5000][220/535][114473] Loss_D: -0.022247 Loss_G: 0.021733 Loss_D_real: -0.017822 Loss_D_fake 0.004425
[1110/5000][225/535][114474] Loss_D: -0.020607 Loss_G: 0.021551 Loss_D_real: -0.023553 Loss_D_fake -0.002947
[1110/5000][230/535][114475] Loss_D: -0.021346 Loss_G: 0.002775 Loss_D_real: -0.019866 Loss_D_fake 0.001480
[1110/5000][235/535][114476] Loss_D: -0.020798 Loss_G: 0.024899 Loss_D_real: -0.025023 Loss_D_fake -0.004224
[1110/5000][240/535][114477] Loss_D: -0.022638 Loss_G: -0.008017 Loss_D_real: -0.020641 Loss_D_fake 0.001997
[1110/5000][245/535][114478] Loss_D: -0.022391 Loss_G: 0.020772 Loss_D_real: -0.023610 Loss_D_fake -0.001219
[1110/5000][250/535][114479] Loss_D: -0.021367 Loss_G: -0.010161 Loss_D_real: -0.009004 Loss_D_fake 0.012363
[1110/5000][255/535][114480] Loss_D: -0.020918 Loss_G: -0.011645 Loss_D_real: -0.012077 Loss_D_fake 0.008841
[1110/5000][260/535][114481] Loss_D: -0.022169 Loss_G: 0.002241 Loss_D_real: -0.019548 Loss_D_fake 0.002621
[1110/5000][265/535][114482] Loss_D: -0.020090 Loss_G: -0.011694 Loss_D_real: -0.001580 Loss_D_fake 0.018510
[1110/5000][270/535][114483] Loss_D: -0.022744 Loss_G: 0.005101 Loss_D_real: -0.002717 Loss_D_fake 0.020028
[1110/5000][275/535][114484] Loss_D: -0.021405 Loss_G: -0.002215 Loss_D_real: -0.011626 Loss_D_fake 0.009778
[1110/5000][280/535][114485] Loss_D: -0.022367 Loss_G: 0.017916 Loss_D_real: -0.020420 Loss_D_fake 0.001946
[1110/5000][285/535][114486] Loss_D: -0.022192 Loss_G: -0.000766 Loss_D_real: -0.005100 Loss_D_fake 0.017092
[1110/5000][290/535][114487] Loss_D: -0.020686 Loss_G: 0.007725 Loss_D_real: -0.014752 Loss_D_fake 0.005934
[1110/5000][295/535][114488] Loss_D: -0.021438 Loss_G: 0.023641 Loss_D_real: -0.014187 Loss_D_fake 0.007251
[1110/5000][300/535][114489] Loss_D: -0.019565 Loss_G: -0.013976 Loss_D_real: -0.014456 Loss_D_fake 0.005109
[1110/5000][305/535][114490] Loss_D: -0.019941 Loss_G: 0.006575 Loss_D_real: -0.010983 Loss_D_fake 0.008958
[1110/5000][310/535][114491] Loss_D: -0.021055 Loss_G: 0.012802 Loss_D_real: -0.027916 Loss_D_fake -0.006862
[1110/5000][315/535][114492] Loss_D: -0.022247 Loss_G: 0.014215 Loss_D_real: -0.024978 Loss_D_fake -0.002731
[1110/5000][320/535][114493] Loss_D: -0.019635 Loss_G: 0.019141 Loss_D_real: -0.034179 Loss_D_fake -0.014544
[1110/5000][325/535][114494] Loss_D: -0.022473 Loss_G: -0.006910 Loss_D_real: -0.011983 Loss_D_fake 0.010491
[1110/5000][330/535][114495] Loss_D: -0.020277 Loss_G: 0.024045 Loss_D_real: -0.028891 Loss_D_fake -0.008614
[1110/5000][335/535][114496] Loss_D: -0.022449 Loss_G: 0.014513 Loss_D_real: -0.020032 Loss_D_fake 0.002418
[1110/5000][340/535][114497] Loss_D: -0.021947 Loss_G: 0.009565 Loss_D_real: -0.030288 Loss_D_fake -0.008341
[1110/5000][345/535][114498] Loss_D: -0.019548 Loss_G: 0.026835 Loss_D_real: -0.032367 Loss_D_fake -0.012818
[1110/5000][350/535][114499] Loss_D: -0.023175 Loss_G: -0.001023 Loss_D_real: -0.011014 Loss_D_fake 0.012161
[1110/5000][355/535][114500] Loss_D: -0.021308 Loss_G: 0.026014 Loss_D_real: -0.027873 Loss_D_fake -0.006565
[1110/5000][455/535][114501] Loss_D: -0.024639 Loss_G: 0.020798 Loss_D_real: -0.030793 Loss_D_fake -0.006154
[1110/5000][460/535][114502] Loss_D: -0.022037 Loss_G: 0.003956 Loss_D_real: -0.007493 Loss_D_fake 0.014545
[1110/5000][465/535][114503] Loss_D: -0.021955 Loss_G: -0.013492 Loss_D_real: -0.012727 Loss_D_fake 0.009229
[1110/5000][470/535][114504] Loss_D: -0.019613 Loss_G: 0.019249 Loss_D_real: -0.011466 Loss_D_fake 0.008147
[1110/5000][475/535][114505] Loss_D: -0.019058 Loss_G: -0.011864 Loss_D_real: -0.003398 Loss_D_fake 0.015660
[1110/5000][480/535][114506] Loss_D: -0.020120 Loss_G: 0.013151 Loss_D_real: -0.020382 Loss_D_fake -0.000262
[1110/5000][485/535][114507] Loss_D: -0.019970 Loss_G: 0.003399 Loss_D_real: -0.007419 Loss_D_fake 0.012551
[1110/5000][490/535][114508] Loss_D: -0.020361 Loss_G: 0.004947 Loss_D_real: -0.013643 Loss_D_fake 0.006718
[1110/5000][495/535][114509] Loss_D: -0.019936 Loss_G: 0.013184 Loss_D_real: -0.020864 Loss_D_fake -0.000928
[1110/5000][500/535][114510] Loss_D: -0.020529 Loss_G: 0.004892 Loss_D_real: -0.015157 Loss_D_fake 0.005372
[1110/5000][505/535][114511] Loss_D: -0.021153 Loss_G: 0.005188 Loss_D_real: -0.011945 Loss_D_fake 0.009208
[1110/5000][510/535][114512] Loss_D: -0.020500 Loss_G: -0.005155 Loss_D_real: -0.009029 Loss_D_fake 0.011471
[1110/5000][515/535][114513] Loss_D: -0.021004 Loss_G: -0.001400 Loss_D_real: -0.007164 Loss_D_fake 0.013840
[1110/5000][520/535][114514] Loss_D: -0.019886 Loss_G: 0.032843 Loss_D_real: -0.033136 Loss_D_fake -0.013250
[1110/5000][525/535][114515] Loss_D: -0.020993 Loss_G: 0.025746 Loss_D_real: -0.024951 Loss_D_fake -0.003958
[1110/5000][530/535][114516] Loss_D: -0.020516 Loss_G: 0.024704 Loss_D_real: -0.027743 Loss_D_fake -0.007228
[1110/5000][535/535][114517] Loss_D: -0.020158 Loss_G: 0.005809 Loss_D_real: -0.009305 Loss_D_fake 0.010852
[1111/5000][5/535][114518] Loss_D: -0.021582 Loss_G: -0.006929 Loss_D_real: -0.019493 Loss_D_fake 0.002089
[1111/5000][10/535][114519] Loss_D: -0.019701 Loss_G: 0.023758 Loss_D_real: -0.034974 Loss_D_fake -0.015272
[1111/5000][15/535][114520] Loss_D: -0.020380 Loss_G: 0.025105 Loss_D_real: -0.033548 Loss_D_fake -0.013168
[1111/5000][20/535][114521] Loss_D: -0.021401 Loss_G: -0.003834 Loss_D_real: -0.014096 Loss_D_fake 0.007305
[1111/5000][25/535][114522] Loss_D: -0.022843 Loss_G: 0.014352 Loss_D_real: -0.022048 Loss_D_fake 0.000795
[1111/5000][30/535][114523] Loss_D: -0.020555 Loss_G: -0.011678 Loss_D_real: -0.005695 Loss_D_fake 0.014859
[1111/5000][35/535][114524] Loss_D: -0.020207 Loss_G: 0.012263 Loss_D_real: -0.027211 Loss_D_fake -0.007004
[1111/5000][40/535][114525] Loss_D: -0.020895 Loss_G: -0.005041 Loss_D_real: -0.010740 Loss_D_fake 0.010155
[1111/5000][45/535][114526] Loss_D: -0.019419 Loss_G: 0.016501 Loss_D_real: -0.035364 Loss_D_fake -0.015945
[1111/5000][50/535][114527] Loss_D: -0.020498 Loss_G: 0.006331 Loss_D_real: -0.010420 Loss_D_fake 0.010078
[1111/5000][55/535][114528] Loss_D: -0.020915 Loss_G: 0.004105 Loss_D_real: -0.019402 Loss_D_fake 0.001513
[1111/5000][60/535][114529] Loss_D: -0.021820 Loss_G: 0.015131 Loss_D_real: -0.020754 Loss_D_fake 0.001066
[1111/5000][65/535][114530] Loss_D: -0.021213 Loss_G: 0.004453 Loss_D_real: -0.016210 Loss_D_fake 0.005003
[1111/5000][70/535][114531] Loss_D: -0.021551 Loss_G: -0.000364 Loss_D_real: -0.012416 Loss_D_fake 0.009135
[1111/5000][75/535][114532] Loss_D: -0.021965 Loss_G: 0.002585 Loss_D_real: -0.031119 Loss_D_fake -0.009154
[1111/5000][80/535][114533] Loss_D: -0.022637 Loss_G: 0.010389 Loss_D_real: -0.011065 Loss_D_fake 0.011572
[1111/5000][85/535][114534] Loss_D: -0.020239 Loss_G: 0.022885 Loss_D_real: -0.017934 Loss_D_fake 0.002305
[1111/5000][90/535][114535] Loss_D: -0.021647 Loss_G: 0.009429 Loss_D_real: -0.014962 Loss_D_fake 0.006685
[1111/5000][95/535][114536] Loss_D: -0.020163 Loss_G: -0.010020 Loss_D_real: -0.008306 Loss_D_fake 0.011857
[1111/5000][100/535][114537] Loss_D: -0.020240 Loss_G: -0.004464 Loss_D_real: -0.006960 Loss_D_fake 0.013280
[1111/5000][105/535][114538] Loss_D: -0.020689 Loss_G: 0.000671 Loss_D_real: -0.014510 Loss_D_fake 0.006178
[1111/5000][110/535][114539] Loss_D: -0.022766 Loss_G: 0.011338 Loss_D_real: -0.014243 Loss_D_fake 0.008523
[1111/5000][115/535][114540] Loss_D: -0.020618 Loss_G: 0.016430 Loss_D_real: -0.033262 Loss_D_fake -0.012644
[1111/5000][120/535][114541] Loss_D: -0.021693 Loss_G: 0.015827 Loss_D_real: -0.022513 Loss_D_fake -0.000820
[1111/5000][125/535][114542] Loss_D: -0.020634 Loss_G: 0.008772 Loss_D_real: -0.024382 Loss_D_fake -0.003748
[1111/5000][130/535][114543] Loss_D: -0.021959 Loss_G: 0.004871 Loss_D_real: -0.017660 Loss_D_fake 0.004300
[1111/5000][135/535][114544] Loss_D: -0.020890 Loss_G: -0.000083 Loss_D_real: -0.010271 Loss_D_fake 0.010620
[1111/5000][140/535][114545] Loss_D: -0.022572 Loss_G: 0.002913 Loss_D_real: -0.016860 Loss_D_fake 0.005713
[1111/5000][145/535][114546] Loss_D: -0.021713 Loss_G: 0.001543 Loss_D_real: -0.015599 Loss_D_fake 0.006115
[1111/5000][150/535][114547] Loss_D: -0.021026 Loss_G: 0.010882 Loss_D_real: -0.033117 Loss_D_fake -0.012091
[1111/5000][155/535][114548] Loss_D: -0.022601 Loss_G: 0.004584 Loss_D_real: -0.010327 Loss_D_fake 0.012274
[1111/5000][160/535][114549] Loss_D: -0.020921 Loss_G: 0.020237 Loss_D_real: -0.016217 Loss_D_fake 0.004704
[1111/5000][165/535][114550] Loss_D: -0.020299 Loss_G: 0.006469 Loss_D_real: -0.012487 Loss_D_fake 0.007812
[1111/5000][170/535][114551] Loss_D: -0.020510 Loss_G: -0.008306 Loss_D_real: -0.013910 Loss_D_fake 0.006599
[1111/5000][175/535][114552] Loss_D: -0.020955 Loss_G: 0.003355 Loss_D_real: -0.014517 Loss_D_fake 0.006438
[1111/5000][180/535][114553] Loss_D: -0.021289 Loss_G: 0.006220 Loss_D_real: -0.008609 Loss_D_fake 0.012680
[1111/5000][185/535][114554] Loss_D: -0.021383 Loss_G: 0.007106 Loss_D_real: -0.020767 Loss_D_fake 0.000616
[1111/5000][190/535][114555] Loss_D: -0.020263 Loss_G: -0.007895 Loss_D_real: -0.002071 Loss_D_fake 0.018192
[1111/5000][195/535][114556] Loss_D: -0.020169 Loss_G: 0.021826 Loss_D_real: -0.028919 Loss_D_fake -0.008749
[1111/5000][200/535][114557] Loss_D: -0.020523 Loss_G: 0.008033 Loss_D_real: -0.028113 Loss_D_fake -0.007590
[1111/5000][205/535][114558] Loss_D: -0.021223 Loss_G: 0.026191 Loss_D_real: -0.032733 Loss_D_fake -0.011510
[1111/5000][210/535][114559] Loss_D: -0.021517 Loss_G: -0.020524 Loss_D_real: 0.002412 Loss_D_fake 0.023928
[1111/5000][215/535][114560] Loss_D: -0.019555 Loss_G: 0.017606 Loss_D_real: -0.032292 Loss_D_fake -0.012737
[1111/5000][220/535][114561] Loss_D: -0.021293 Loss_G: 0.004758 Loss_D_real: -0.022485 Loss_D_fake -0.001191
[1111/5000][225/535][114562] Loss_D: -0.020021 Loss_G: 0.018872 Loss_D_real: -0.028049 Loss_D_fake -0.008028
[1111/5000][230/535][114563] Loss_D: -0.022209 Loss_G: -0.010729 Loss_D_real: -0.012116 Loss_D_fake 0.010093
[1111/5000][235/535][114564] Loss_D: -0.020669 Loss_G: 0.010298 Loss_D_real: -0.022448 Loss_D_fake -0.001779
[1111/5000][240/535][114565] Loss_D: -0.021737 Loss_G: 0.003557 Loss_D_real: -0.018745 Loss_D_fake 0.002992
[1111/5000][245/535][114566] Loss_D: -0.020432 Loss_G: 0.016160 Loss_D_real: -0.030874 Loss_D_fake -0.010442
[1111/5000][250/535][114567] Loss_D: -0.022141 Loss_G: 0.009435 Loss_D_real: -0.019464 Loss_D_fake 0.002677
[1111/5000][255/535][114568] Loss_D: -0.020531 Loss_G: -0.016649 Loss_D_real: -0.002740 Loss_D_fake 0.017791
[1111/5000][260/535][114569] Loss_D: -0.022544 Loss_G: -0.000933 Loss_D_real: -0.011811 Loss_D_fake 0.010733
[1111/5000][265/535][114570] Loss_D: -0.020698 Loss_G: 0.017875 Loss_D_real: -0.028006 Loss_D_fake -0.007308
[1111/5000][270/535][114571] Loss_D: -0.021702 Loss_G: 0.000588 Loss_D_real: -0.015591 Loss_D_fake 0.006112
[1111/5000][275/535][114572] Loss_D: -0.021611 Loss_G: -0.004780 Loss_D_real: -0.007581 Loss_D_fake 0.014030
[1111/5000][280/535][114573] Loss_D: -0.022271 Loss_G: 0.032661 Loss_D_real: -0.027612 Loss_D_fake -0.005340
[1111/5000][285/535][114574] Loss_D: -0.021517 Loss_G: 0.011297 Loss_D_real: -0.024122 Loss_D_fake -0.002605
[1111/5000][290/535][114575] Loss_D: -0.021022 Loss_G: 0.027013 Loss_D_real: -0.023157 Loss_D_fake -0.002135
[1111/5000][295/535][114576] Loss_D: -0.020515 Loss_G: -0.006231 Loss_D_real: -0.002807 Loss_D_fake 0.017708
[1111/5000][300/535][114577] Loss_D: -0.020221 Loss_G: 0.021812 Loss_D_real: -0.037537 Loss_D_fake -0.017316
[1111/5000][305/535][114578] Loss_D: -0.021308 Loss_G: 0.007877 Loss_D_real: -0.015019 Loss_D_fake 0.006289
[1111/5000][310/535][114579] Loss_D: -0.022422 Loss_G: -0.009119 Loss_D_real: -0.015089 Loss_D_fake 0.007333
[1111/5000][315/535][114580] Loss_D: -0.021915 Loss_G: 0.015110 Loss_D_real: -0.016120 Loss_D_fake 0.005795
[1111/5000][320/535][114581] Loss_D: -0.021773 Loss_G: -0.017542 Loss_D_real: -0.009708 Loss_D_fake 0.012066
[1111/5000][325/535][114582] Loss_D: -0.021801 Loss_G: -0.002857 Loss_D_real: -0.014394 Loss_D_fake 0.007408
[1111/5000][330/535][114583] Loss_D: -0.021052 Loss_G: 0.023013 Loss_D_real: -0.020704 Loss_D_fake 0.000347
[1111/5000][335/535][114584] Loss_D: -0.021592 Loss_G: -0.006727 Loss_D_real: -0.013014 Loss_D_fake 0.008578
[1111/5000][340/535][114585] Loss_D: -0.020706 Loss_G: 0.014911 Loss_D_real: -0.016287 Loss_D_fake 0.004419
[1111/5000][345/535][114586] Loss_D: -0.020407 Loss_G: 0.013557 Loss_D_real: -0.021478 Loss_D_fake -0.001072
[1111/5000][350/535][114587] Loss_D: -0.021278 Loss_G: 0.005050 Loss_D_real: -0.027116 Loss_D_fake -0.005838
[1111/5000][355/535][114588] Loss_D: -0.019678 Loss_G: 0.022866 Loss_D_real: -0.023027 Loss_D_fake -0.003348
[1111/5000][360/535][114589] Loss_D: -0.021389 Loss_G: 0.023852 Loss_D_real: -0.021489 Loss_D_fake -0.000100
[1111/5000][365/535][114590] Loss_D: -0.019136 Loss_G: 0.020031 Loss_D_real: -0.026567 Loss_D_fake -0.007430
[1111/5000][370/535][114591] Loss_D: -0.021165 Loss_G: 0.004686 Loss_D_real: -0.009935 Loss_D_fake 0.011230
[1111/5000][375/535][114592] Loss_D: -0.019995 Loss_G: 0.009246 Loss_D_real: -0.014351 Loss_D_fake 0.005645
[1111/5000][380/535][114593] Loss_D: -0.020774 Loss_G: -0.022877 Loss_D_real: -0.002327 Loss_D_fake 0.018447
[1111/5000][385/535][114594] Loss_D: -0.020654 Loss_G: 0.010243 Loss_D_real: -0.012189 Loss_D_fake 0.008465
[1111/5000][390/535][114595] Loss_D: -0.020478 Loss_G: 0.009113 Loss_D_real: -0.021034 Loss_D_fake -0.000556
[1111/5000][395/535][114596] Loss_D: -0.020807 Loss_G: 0.011824 Loss_D_real: -0.017332 Loss_D_fake 0.003474
[1111/5000][400/535][114597] Loss_D: -0.021179 Loss_G: 0.008356 Loss_D_real: -0.011236 Loss_D_fake 0.009943
[1111/5000][405/535][114598] Loss_D: -0.021080 Loss_G: 0.005437 Loss_D_real: -0.015458 Loss_D_fake 0.005621
[1111/5000][410/535][114599] Loss_D: -0.021303 Loss_G: 0.008730 Loss_D_real: -0.024224 Loss_D_fake -0.002921
[1111/5000][415/535][114600] Loss_D: -0.022051 Loss_G: 0.017440 Loss_D_real: -0.021043 Loss_D_fake 0.001008
[1111/5000][420/535][114601] Loss_D: -0.021329 Loss_G: -0.002396 Loss_D_real: -0.017249 Loss_D_fake 0.004080
[1111/5000][425/535][114602] Loss_D: -0.022301 Loss_G: 0.000712 Loss_D_real: -0.007523 Loss_D_fake 0.014778
[1111/5000][430/535][114603] Loss_D: -0.021632 Loss_G: 0.009368 Loss_D_real: -0.002747 Loss_D_fake 0.018884
[1111/5000][435/535][114604] Loss_D: -0.023096 Loss_G: 0.006493 Loss_D_real: -0.024360 Loss_D_fake -0.001263
[1111/5000][440/535][114605] Loss_D: -0.021165 Loss_G: 0.019054 Loss_D_real: -0.018716 Loss_D_fake 0.002449
[1111/5000][445/535][114606] Loss_D: -0.021431 Loss_G: 0.021178 Loss_D_real: -0.020059 Loss_D_fake 0.001371
[1111/5000][450/535][114607] Loss_D: -0.021169 Loss_G: 0.010085 Loss_D_real: -0.010351 Loss_D_fake 0.010817
[1111/5000][455/535][114608] Loss_D: -0.021967 Loss_G: 0.005295 Loss_D_real: -0.024647 Loss_D_fake -0.002680
[1111/5000][460/535][114609] Loss_D: -0.019780 Loss_G: -0.018291 Loss_D_real: 0.003117 Loss_D_fake 0.022897
[1111/5000][465/535][114610] Loss_D: -0.020640 Loss_G: 0.031370 Loss_D_real: -0.032286 Loss_D_fake -0.011645
[1111/5000][470/535][114611] Loss_D: -0.021631 Loss_G: -0.002923 Loss_D_real: -0.012353 Loss_D_fake 0.009278
[1111/5000][475/535][114612] Loss_D: -0.022607 Loss_G: 0.010762 Loss_D_real: -0.013228 Loss_D_fake 0.009378
[1111/5000][480/535][114613] Loss_D: -0.022441 Loss_G: -0.003772 Loss_D_real: -0.013620 Loss_D_fake 0.008820
[1111/5000][485/535][114614] Loss_D: -0.021726 Loss_G: 0.007056 Loss_D_real: -0.017723 Loss_D_fake 0.004004
[1111/5000][490/535][114615] Loss_D: -0.020935 Loss_G: 0.002488 Loss_D_real: -0.015679 Loss_D_fake 0.005256
[1111/5000][495/535][114616] Loss_D: -0.020935 Loss_G: 0.016743 Loss_D_real: -0.024097 Loss_D_fake -0.003163
[1111/5000][500/535][114617] Loss_D: -0.021247 Loss_G: 0.016678 Loss_D_real: -0.025924 Loss_D_fake -0.004677
[1111/5000][505/535][114618] Loss_D: -0.021409 Loss_G: 0.013354 Loss_D_real: -0.031796 Loss_D_fake -0.010387
[1111/5000][510/535][114619] Loss_D: -0.022436 Loss_G: 0.013659 Loss_D_real: -0.027538 Loss_D_fake -0.005101
[1111/5000][515/535][114620] Loss_D: -0.021649 Loss_G: 0.024140 Loss_D_real: -0.028208 Loss_D_fake -0.006559
[1111/5000][520/535][114621] Loss_D: -0.022184 Loss_G: -0.014284 Loss_D_real: -0.010455 Loss_D_fake 0.011729
[1111/5000][525/535][114622] Loss_D: -0.019913 Loss_G: 0.020741 Loss_D_real: -0.024144 Loss_D_fake -0.004231
[1111/5000][530/535][114623] Loss_D: -0.021738 Loss_G: 0.002357 Loss_D_real: -0.011229 Loss_D_fake 0.010509
[1111/5000][535/535][114624] Loss_D: -0.021851 Loss_G: 0.010791 Loss_D_real: -0.030204 Loss_D_fake -0.008353
[1112/5000][5/535][114625] Loss_D: -0.019871 Loss_G: 0.009294 Loss_D_real: -0.030550 Loss_D_fake -0.010679
[1112/5000][10/535][114626] Loss_D: -0.021869 Loss_G: 0.006907 Loss_D_real: -0.027104 Loss_D_fake -0.005234
[1112/5000][15/535][114627] Loss_D: -0.022371 Loss_G: -0.002221 Loss_D_real: -0.010976 Loss_D_fake 0.011394
[1112/5000][20/535][114628] Loss_D: -0.020563 Loss_G: 0.021415 Loss_D_real: -0.028521 Loss_D_fake -0.007958
[1112/5000][25/535][114629] Loss_D: -0.021311 Loss_G: 0.010439 Loss_D_real: -0.010771 Loss_D_fake 0.010540
[1112/5000][30/535][114630] Loss_D: -0.022351 Loss_G: 0.015048 Loss_D_real: -0.019270 Loss_D_fake 0.003081
[1112/5000][35/535][114631] Loss_D: -0.020474 Loss_G: 0.004024 Loss_D_real: -0.018863 Loss_D_fake 0.001611
[1112/5000][40/535][114632] Loss_D: -0.020364 Loss_G: 0.015634 Loss_D_real: -0.026258 Loss_D_fake -0.005894
[1112/5000][45/535][114633] Loss_D: -0.019788 Loss_G: 0.026220 Loss_D_real: -0.031089 Loss_D_fake -0.011300
[1112/5000][50/535][114634] Loss_D: -0.022305 Loss_G: 0.017327 Loss_D_real: -0.024129 Loss_D_fake -0.001824
[1112/5000][55/535][114635] Loss_D: -0.020258 Loss_G: 0.010048 Loss_D_real: -0.024371 Loss_D_fake -0.004113
[1112/5000][60/535][114636] Loss_D: -0.020735 Loss_G: -0.013584 Loss_D_real: -0.004256 Loss_D_fake 0.016479
[1112/5000][65/535][114637] Loss_D: -0.021465 Loss_G: 0.018851 Loss_D_real: -0.022806 Loss_D_fake -0.001340
[1112/5000][70/535][114638] Loss_D: -0.021367 Loss_G: 0.017024 Loss_D_real: -0.013700 Loss_D_fake 0.007667
[1112/5000][75/535][114639] Loss_D: -0.020275 Loss_G: 0.001636 Loss_D_real: 0.000417 Loss_D_fake 0.020691
[1112/5000][80/535][114640] Loss_D: -0.020907 Loss_G: -0.005236 Loss_D_real: -0.007251 Loss_D_fake 0.013656
[1112/5000][85/535][114641] Loss_D: -0.020140 Loss_G: -0.005385 Loss_D_real: -0.012116 Loss_D_fake 0.008024
[1112/5000][90/535][114642] Loss_D: -0.020043 Loss_G: 0.026273 Loss_D_real: -0.027764 Loss_D_fake -0.007721
[1112/5000][95/535][114643] Loss_D: -0.021000 Loss_G: 0.000537 Loss_D_real: -0.021183 Loss_D_fake -0.000183
[1112/5000][100/535][114644] Loss_D: -0.021394 Loss_G: 0.007037 Loss_D_real: -0.018388 Loss_D_fake 0.003006
[1112/5000][105/535][114645] Loss_D: -0.021947 Loss_G: 0.014631 Loss_D_real: -0.020190 Loss_D_fake 0.001757
[1112/5000][110/535][114646] Loss_D: -0.022100 Loss_G: 0.007096 Loss_D_real: -0.013516 Loss_D_fake 0.008584
[1112/5000][115/535][114647] Loss_D: -0.020244 Loss_G: 0.017428 Loss_D_real: -0.025934 Loss_D_fake -0.005690
[1112/5000][120/535][114648] Loss_D: -0.021811 Loss_G: 0.012610 Loss_D_real: -0.020180 Loss_D_fake 0.001631
[1112/5000][125/535][114649] Loss_D: -0.020099 Loss_G: 0.011455 Loss_D_real: -0.032941 Loss_D_fake -0.012842
[1112/5000][130/535][114650] Loss_D: -0.021068 Loss_G: 0.013531 Loss_D_real: -0.028101 Loss_D_fake -0.007033
[1112/5000][135/535][114651] Loss_D: -0.020291 Loss_G: 0.008378 Loss_D_real: -0.021110 Loss_D_fake -0.000819
[1112/5000][140/535][114652] Loss_D: -0.021455 Loss_G: 0.000670 Loss_D_real: -0.009270 Loss_D_fake 0.012185
[1112/5000][145/535][114653] Loss_D: -0.021520 Loss_G: 0.011012 Loss_D_real: -0.027530 Loss_D_fake -0.006010
[1112/5000][150/535][114654] Loss_D: -0.021833 Loss_G: -0.001236 Loss_D_real: -0.008193 Loss_D_fake 0.013640
[1112/5000][155/535][114655] Loss_D: -0.021449 Loss_G: -0.002532 Loss_D_real: -0.010269 Loss_D_fake 0.011180
[1112/5000][160/535][114656] Loss_D: -0.022254 Loss_G: 0.011325 Loss_D_real: -0.005773 Loss_D_fake 0.016481
[1112/5000][165/535][114657] Loss_D: -0.021022 Loss_G: 0.030661 Loss_D_real: -0.026939 Loss_D_fake -0.005916
[1112/5000][170/535][114658] Loss_D: -0.022432 Loss_G: 0.003859 Loss_D_real: -0.022954 Loss_D_fake -0.000522
[1112/5000][175/535][114659] Loss_D: -0.021857 Loss_G: 0.003754 Loss_D_real: -0.020654 Loss_D_fake 0.001203
[1112/5000][180/535][114660] Loss_D: -0.022418 Loss_G: 0.010274 Loss_D_real: -0.012296 Loss_D_fake 0.010122
[1112/5000][185/535][114661] Loss_D: -0.021215 Loss_G: 0.002160 Loss_D_real: -0.011877 Loss_D_fake 0.009338
[1112/5000][190/535][114662] Loss_D: -0.020670 Loss_G: 0.015261 Loss_D_real: -0.022391 Loss_D_fake -0.001721
[1112/5000][195/535][114663] Loss_D: -0.022568 Loss_G: 0.004338 Loss_D_real: 0.003417 Loss_D_fake 0.025986
[1112/5000][200/535][114664] Loss_D: -0.021981 Loss_G: 0.011214 Loss_D_real: -0.015718 Loss_D_fake 0.006264
[1112/5000][205/535][114665] Loss_D: -0.021151 Loss_G: -0.002294 Loss_D_real: -0.012019 Loss_D_fake 0.009132
[1112/5000][210/535][114666] Loss_D: -0.020928 Loss_G: 0.019705 Loss_D_real: -0.031297 Loss_D_fake -0.010369
[1112/5000][215/535][114667] Loss_D: -0.021690 Loss_G: 0.014341 Loss_D_real: -0.024240 Loss_D_fake -0.002550
[1112/5000][220/535][114668] Loss_D: -0.022353 Loss_G: 0.003333 Loss_D_real: -0.007220 Loss_D_fake 0.015133
[1112/5000][225/535][114669] Loss_D: -0.020854 Loss_G: 0.016988 Loss_D_real: -0.017896 Loss_D_fake 0.002958
[1112/5000][230/535][114670] Loss_D: -0.021976 Loss_G: 0.000988 Loss_D_real: -0.016917 Loss_D_fake 0.005059
[1112/5000][235/535][114671] Loss_D: -0.022021 Loss_G: 0.022302 Loss_D_real: -0.029431 Loss_D_fake -0.007410
[1112/5000][240/535][114672] Loss_D: -0.022169 Loss_G: -0.013740 Loss_D_real: -0.002421 Loss_D_fake 0.019748
[1112/5000][245/535][114673] Loss_D: -0.020589 Loss_G: 0.012054 Loss_D_real: -0.028128 Loss_D_fake -0.007539
[1112/5000][250/535][114674] Loss_D: -0.021090 Loss_G: 0.011636 Loss_D_real: -0.011180 Loss_D_fake 0.009910
[1112/5000][255/535][114675] Loss_D: -0.021787 Loss_G: 0.001135 Loss_D_real: -0.018969 Loss_D_fake 0.002818
[1112/5000][260/535][114676] Loss_D: -0.021300 Loss_G: 0.013489 Loss_D_real: -0.012784 Loss_D_fake 0.008515
[1112/5000][265/535][114677] Loss_D: -0.020905 Loss_G: 0.010490 Loss_D_real: -0.020038 Loss_D_fake 0.000867
[1112/5000][270/535][114678] Loss_D: -0.020214 Loss_G: -0.005861 Loss_D_real: -0.000342 Loss_D_fake 0.019872
[1112/5000][275/535][114679] Loss_D: -0.022442 Loss_G: 0.014489 Loss_D_real: -0.014158 Loss_D_fake 0.008284
[1112/5000][280/535][114680] Loss_D: -0.021507 Loss_G: 0.010559 Loss_D_real: -0.020999 Loss_D_fake 0.000508
[1112/5000][285/535][114681] Loss_D: -0.022106 Loss_G: 0.016125 Loss_D_real: -0.030879 Loss_D_fake -0.008773
[1112/5000][290/535][114682] Loss_D: -0.022019 Loss_G: 0.005843 Loss_D_real: -0.029168 Loss_D_fake -0.007150
[1112/5000][295/535][114683] Loss_D: -0.022155 Loss_G: 0.004251 Loss_D_real: -0.023941 Loss_D_fake -0.001786
[1112/5000][300/535][114684] Loss_D: -0.020959 Loss_G: 0.017054 Loss_D_real: -0.028180 Loss_D_fake -0.007221
[1112/5000][305/535][114685] Loss_D: -0.021480 Loss_G: 0.013743 Loss_D_real: -0.021405 Loss_D_fake 0.000075
[1112/5000][310/535][114686] Loss_D: -0.022687 Loss_G: 0.000109 Loss_D_real: -0.012647 Loss_D_fake 0.010040
[1112/5000][315/535][114687] Loss_D: -0.021463 Loss_G: -0.007594 Loss_D_real: -0.009287 Loss_D_fake 0.012176
[1112/5000][320/535][114688] Loss_D: -0.020727 Loss_G: 0.008814 Loss_D_real: -0.027688 Loss_D_fake -0.006961
[1112/5000][325/535][114689] Loss_D: -0.021113 Loss_G: 0.003393 Loss_D_real: -0.019408 Loss_D_fake 0.001704
[1112/5000][330/535][114690] Loss_D: -0.020576 Loss_G: 0.028713 Loss_D_real: -0.023893 Loss_D_fake -0.003317
[1112/5000][335/535][114691] Loss_D: -0.020649 Loss_G: -0.001132 Loss_D_real: -0.024522 Loss_D_fake -0.003874
[1112/5000][340/535][114692] Loss_D: -0.021474 Loss_G: 0.014022 Loss_D_real: -0.024486 Loss_D_fake -0.003012
[1112/5000][345/535][114693] Loss_D: -0.021634 Loss_G: 0.015607 Loss_D_real: -0.026958 Loss_D_fake -0.005324
[1112/5000][350/535][114694] Loss_D: -0.021070 Loss_G: 0.010124 Loss_D_real: -0.014190 Loss_D_fake 0.006880
[1112/5000][355/535][114695] Loss_D: -0.022266 Loss_G: 0.014529 Loss_D_real: -0.025579 Loss_D_fake -0.003313
[1112/5000][360/535][114696] Loss_D: -0.021239 Loss_G: 0.005319 Loss_D_real: -0.021513 Loss_D_fake -0.000274
[1112/5000][365/535][114697] Loss_D: -0.020892 Loss_G: -0.011635 Loss_D_real: -0.018918 Loss_D_fake 0.001974
[1112/5000][370/535][114698] Loss_D: -0.021713 Loss_G: 0.003008 Loss_D_real: -0.011036 Loss_D_fake 0.010677
[1112/5000][375/535][114699] Loss_D: -0.021314 Loss_G: 0.018672 Loss_D_real: -0.031908 Loss_D_fake -0.010595
[1112/5000][380/535][114700] Loss_D: -0.020068 Loss_G: 0.017575 Loss_D_real: -0.040347 Loss_D_fake -0.020278
[1112/5000][385/535][114701] Loss_D: -0.019594 Loss_G: 0.031657 Loss_D_real: -0.026000 Loss_D_fake -0.006406
[1112/5000][390/535][114702] Loss_D: -0.021279 Loss_G: -0.000340 Loss_D_real: -0.015800 Loss_D_fake 0.005479
[1112/5000][395/535][114703] Loss_D: -0.021749 Loss_G: 0.015477 Loss_D_real: -0.019007 Loss_D_fake 0.002743
[1112/5000][400/535][114704] Loss_D: -0.022914 Loss_G: 0.011122 Loss_D_real: -0.021482 Loss_D_fake 0.001432
[1112/5000][405/535][114705] Loss_D: -0.020950 Loss_G: 0.026385 Loss_D_real: -0.027317 Loss_D_fake -0.006367
[1112/5000][410/535][114706] Loss_D: -0.022053 Loss_G: 0.013261 Loss_D_real: -0.025761 Loss_D_fake -0.003709
[1112/5000][415/535][114707] Loss_D: -0.022869 Loss_G: 0.013600 Loss_D_real: -0.020667 Loss_D_fake 0.002202
[1112/5000][420/535][114708] Loss_D: -0.021201 Loss_G: 0.012192 Loss_D_real: -0.017111 Loss_D_fake 0.004090
[1112/5000][425/535][114709] Loss_D: -0.021083 Loss_G: 0.006555 Loss_D_real: -0.018285 Loss_D_fake 0.002798
[1112/5000][430/535][114710] Loss_D: -0.022039 Loss_G: 0.001939 Loss_D_real: -0.010915 Loss_D_fake 0.011124
[1112/5000][435/535][114711] Loss_D: -0.022408 Loss_G: -0.004290 Loss_D_real: -0.013421 Loss_D_fake 0.008986
[1112/5000][440/535][114712] Loss_D: -0.021412 Loss_G: 0.013238 Loss_D_real: -0.028061 Loss_D_fake -0.006649
[1112/5000][445/535][114713] Loss_D: -0.023058 Loss_G: -0.003224 Loss_D_real: -0.018749 Loss_D_fake 0.004308
[1112/5000][450/535][114714] Loss_D: -0.021391 Loss_G: 0.013602 Loss_D_real: -0.025568 Loss_D_fake -0.004178
[1112/5000][455/535][114715] Loss_D: -0.021331 Loss_G: 0.019121 Loss_D_real: -0.019053 Loss_D_fake 0.002277
[1112/5000][460/535][114716] Loss_D: -0.020423 Loss_G: 0.026489 Loss_D_real: -0.031724 Loss_D_fake -0.011301
[1112/5000][465/535][114717] Loss_D: -0.020689 Loss_G: 0.022054 Loss_D_real: -0.030101 Loss_D_fake -0.009411
[1112/5000][470/535][114718] Loss_D: -0.021457 Loss_G: -0.011432 Loss_D_real: 0.000725 Loss_D_fake 0.022182
[1112/5000][475/535][114719] Loss_D: -0.020505 Loss_G: 0.013722 Loss_D_real: -0.029046 Loss_D_fake -0.008541
[1112/5000][480/535][114720] Loss_D: -0.019081 Loss_G: -0.013100 Loss_D_real: -0.002514 Loss_D_fake 0.016566
[1112/5000][485/535][114721] Loss_D: -0.021569 Loss_G: 0.014547 Loss_D_real: -0.024386 Loss_D_fake -0.002817
[1112/5000][490/535][114722] Loss_D: -0.021882 Loss_G: 0.003782 Loss_D_real: -0.006771 Loss_D_fake 0.015111
[1112/5000][495/535][114723] Loss_D: -0.021014 Loss_G: 0.008288 Loss_D_real: -0.018261 Loss_D_fake 0.002753
[1112/5000][500/535][114724] Loss_D: -0.020552 Loss_G: 0.009289 Loss_D_real: -0.010863 Loss_D_fake 0.009689
[1112/5000][505/535][114725] Loss_D: -0.021813 Loss_G: 0.004189 Loss_D_real: -0.027317 Loss_D_fake -0.005504
[1112/5000][510/535][114726] Loss_D: -0.021801 Loss_G: 0.010533 Loss_D_real: -0.027042 Loss_D_fake -0.005241
[1112/5000][515/535][114727] Loss_D: -0.022042 Loss_G: 0.005980 Loss_D_real: -0.024501 Loss_D_fake -0.002458
[1112/5000][520/535][114728] Loss_D: -0.021178 Loss_G: 0.007052 Loss_D_real: -0.013727 Loss_D_fake 0.007450
[1112/5000][525/535][114729] Loss_D: -0.020557 Loss_G: 0.009271 Loss_D_real: -0.021957 Loss_D_fake -0.001400
[1112/5000][530/535][114730] Loss_D: -0.021579 Loss_G: 0.000533 Loss_D_real: -0.008137 Loss_D_fake 0.013442
[1112/5000][535/535][114731] Loss_D: -0.022384 Loss_G: -0.009085 Loss_D_real: -0.014263 Loss_D_fake 0.008121
[1113/5000][5/535][114732] Loss_D: -0.021739 Loss_G: 0.013061 Loss_D_real: -0.024104 Loss_D_fake -0.002365
[1113/5000][10/535][114733] Loss_D: -0.020626 Loss_G: 0.012891 Loss_D_real: -0.023320 Loss_D_fake -0.002694
[1113/5000][15/535][114734] Loss_D: -0.021904 Loss_G: 0.008550 Loss_D_real: -0.016239 Loss_D_fake 0.005665
[1113/5000][20/535][114735] Loss_D: -0.020971 Loss_G: 0.005241 Loss_D_real: -0.009550 Loss_D_fake 0.011421
[1113/5000][25/535][114736] Loss_D: -0.020906 Loss_G: 0.005877 Loss_D_real: -0.017938 Loss_D_fake 0.002968
[1113/5000][30/535][114737] Loss_D: -0.022040 Loss_G: 0.001074 Loss_D_real: -0.017080 Loss_D_fake 0.004960
[1113/5000][35/535][114738] Loss_D: -0.022578 Loss_G: 0.015713 Loss_D_real: -0.017518 Loss_D_fake 0.005059
[1113/5000][40/535][114739] Loss_D: -0.022822 Loss_G: -0.006772 Loss_D_real: -0.010341 Loss_D_fake 0.012481
[1113/5000][45/535][114740] Loss_D: -0.021661 Loss_G: 0.008659 Loss_D_real: -0.013907 Loss_D_fake 0.007753
[1113/5000][50/535][114741] Loss_D: -0.021703 Loss_G: 0.007240 Loss_D_real: -0.018845 Loss_D_fake 0.002858
[1113/5000][55/535][114742] Loss_D: -0.020611 Loss_G: 0.028051 Loss_D_real: -0.033234 Loss_D_fake -0.012623
[1113/5000][60/535][114743] Loss_D: -0.021523 Loss_G: 0.019871 Loss_D_real: -0.017152 Loss_D_fake 0.004372
[1113/5000][65/535][114744] Loss_D: -0.020565 Loss_G: 0.010696 Loss_D_real: -0.021459 Loss_D_fake -0.000894
[1113/5000][70/535][114745] Loss_D: -0.021605 Loss_G: 0.002284 Loss_D_real: -0.010824 Loss_D_fake 0.010781
[1113/5000][75/535][114746] Loss_D: -0.022227 Loss_G: -0.004936 Loss_D_real: -0.017095 Loss_D_fake 0.005132
[1113/5000][80/535][114747] Loss_D: -0.021650 Loss_G: -0.003995 Loss_D_real: -0.018976 Loss_D_fake 0.002674
[1113/5000][85/535][114748] Loss_D: -0.022324 Loss_G: 0.014750 Loss_D_real: -0.018301 Loss_D_fake 0.004024
[1113/5000][90/535][114749] Loss_D: -0.021957 Loss_G: 0.020603 Loss_D_real: -0.017402 Loss_D_fake 0.004555
[1113/5000][95/535][114750] Loss_D: -0.021121 Loss_G: -0.007936 Loss_D_real: -0.019629 Loss_D_fake 0.001493
[1113/5000][100/535][114751] Loss_D: -0.021601 Loss_G: -0.006671 Loss_D_real: -0.011876 Loss_D_fake 0.009725
[1113/5000][105/535][114752] Loss_D: -0.021452 Loss_G: 0.000679 Loss_D_real: -0.018349 Loss_D_fake 0.003103
[1113/5000][110/535][114753] Loss_D: -0.021682 Loss_G: 0.017072 Loss_D_real: -0.030057 Loss_D_fake -0.008375
[1113/5000][115/535][114754] Loss_D: -0.022722 Loss_G: -0.000644 Loss_D_real: -0.010904 Loss_D_fake 0.011818
[1113/5000][120/535][114755] Loss_D: -0.021647 Loss_G: 0.012183 Loss_D_real: -0.026586 Loss_D_fake -0.004939
[1113/5000][125/535][114756] Loss_D: -0.021866 Loss_G: 0.004436 Loss_D_real: -0.010309 Loss_D_fake 0.011557
[1113/5000][130/535][114757] Loss_D: -0.021560 Loss_G: 0.003873 Loss_D_real: -0.000609 Loss_D_fake 0.020951
[1113/5000][135/535][114758] Loss_D: -0.020919 Loss_G: 0.008053 Loss_D_real: -0.023072 Loss_D_fake -0.002153
[1113/5000][140/535][114759] Loss_D: -0.019716 Loss_G: -0.006527 Loss_D_real: -0.005262 Loss_D_fake 0.014454
[1113/5000][145/535][114760] Loss_D: -0.020610 Loss_G: -0.002373 Loss_D_real: -0.002555 Loss_D_fake 0.018055
[1113/5000][150/535][114761] Loss_D: -0.019888 Loss_G: 0.017691 Loss_D_real: -0.030551 Loss_D_fake -0.010663
[1113/5000][155/535][114762] Loss_D: -0.020216 Loss_G: -0.021279 Loss_D_real: -0.004449 Loss_D_fake 0.015767
[1113/5000][160/535][114763] Loss_D: -0.021415 Loss_G: 0.005532 Loss_D_real: -0.011903 Loss_D_fake 0.009512
[1113/5000][165/535][114764] Loss_D: -0.021349 Loss_G: -0.005741 Loss_D_real: -0.009419 Loss_D_fake 0.011930
[1113/5000][170/535][114765] Loss_D: -0.021126 Loss_G: 0.013409 Loss_D_real: -0.024043 Loss_D_fake -0.002917
[1113/5000][175/535][114766] Loss_D: -0.020865 Loss_G: 0.016743 Loss_D_real: -0.021066 Loss_D_fake -0.000201
[1113/5000][180/535][114767] Loss_D: -0.021493 Loss_G: 0.013727 Loss_D_real: -0.028934 Loss_D_fake -0.007441
[1113/5000][185/535][114768] Loss_D: -0.021184 Loss_G: 0.002582 Loss_D_real: -0.006855 Loss_D_fake 0.014329
[1113/5000][190/535][114769] Loss_D: -0.019877 Loss_G: 0.009530 Loss_D_real: -0.032672 Loss_D_fake -0.012795
[1113/5000][195/535][114770] Loss_D: -0.021209 Loss_G: 0.000907 Loss_D_real: -0.009093 Loss_D_fake 0.012116
[1113/5000][200/535][114771] Loss_D: -0.021113 Loss_G: 0.016375 Loss_D_real: -0.026955 Loss_D_fake -0.005842
[1113/5000][205/535][114772] Loss_D: -0.022951 Loss_G: 0.017107 Loss_D_real: -0.005968 Loss_D_fake 0.016983
[1113/5000][210/535][114773] Loss_D: -0.020524 Loss_G: 0.014935 Loss_D_real: -0.025543 Loss_D_fake -0.005019
[1113/5000][215/535][114774] Loss_D: -0.021887 Loss_G: -0.013664 Loss_D_real: -0.004931 Loss_D_fake 0.016956
[1113/5000][220/535][114775] Loss_D: -0.021601 Loss_G: 0.002437 Loss_D_real: -0.007125 Loss_D_fake 0.014476
[1113/5000][225/535][114776] Loss_D: -0.021943 Loss_G: -0.007296 Loss_D_real: -0.007902 Loss_D_fake 0.014041
[1113/5000][230/535][114777] Loss_D: -0.022950 Loss_G: 0.008699 Loss_D_real: -0.016621 Loss_D_fake 0.006329
[1113/5000][235/535][114778] Loss_D: -0.022635 Loss_G: 0.004593 Loss_D_real: -0.013553 Loss_D_fake 0.009081
[1113/5000][240/535][114779] Loss_D: -0.021121 Loss_G: 0.023310 Loss_D_real: -0.033622 Loss_D_fake -0.012501
[1113/5000][245/535][114780] Loss_D: -0.021532 Loss_G: 0.009798 Loss_D_real: -0.018827 Loss_D_fake 0.002705
[1113/5000][250/535][114781] Loss_D: -0.021188 Loss_G: -0.005529 Loss_D_real: -0.018181 Loss_D_fake 0.003007
[1113/5000][255/535][114782] Loss_D: -0.022221 Loss_G: 0.010609 Loss_D_real: -0.009942 Loss_D_fake 0.012279
[1113/5000][260/535][114783] Loss_D: -0.022122 Loss_G: 0.013001 Loss_D_real: -0.008764 Loss_D_fake 0.013357
[1113/5000][265/535][114784] Loss_D: -0.019923 Loss_G: 0.012468 Loss_D_real: -0.015667 Loss_D_fake 0.004256
[1113/5000][270/535][114785] Loss_D: -0.021966 Loss_G: 0.010363 Loss_D_real: -0.008242 Loss_D_fake 0.013725
[1113/5000][275/535][114786] Loss_D: -0.019361 Loss_G: 0.023808 Loss_D_real: -0.031159 Loss_D_fake -0.011798
[1113/5000][280/535][114787] Loss_D: -0.021424 Loss_G: 0.014114 Loss_D_real: -0.022394 Loss_D_fake -0.000970
[1113/5000][285/535][114788] Loss_D: -0.020048 Loss_G: -0.019125 Loss_D_real: -0.002356 Loss_D_fake 0.017692
[1113/5000][290/535][114789] Loss_D: -0.018799 Loss_G: 0.019381 Loss_D_real: -0.028224 Loss_D_fake -0.009425
[1113/5000][295/535][114790] Loss_D: -0.021078 Loss_G: -0.002610 Loss_D_real: -0.009513 Loss_D_fake 0.011566
[1113/5000][300/535][114791] Loss_D: -0.022153 Loss_G: 0.011062 Loss_D_real: -0.021523 Loss_D_fake 0.000631
[1113/5000][305/535][114792] Loss_D: -0.021305 Loss_G: 0.002390 Loss_D_real: -0.014057 Loss_D_fake 0.007247
[1113/5000][310/535][114793] Loss_D: -0.022099 Loss_G: 0.011323 Loss_D_real: -0.019892 Loss_D_fake 0.002206
[1113/5000][315/535][114794] Loss_D: -0.021453 Loss_G: 0.004463 Loss_D_real: -0.013891 Loss_D_fake 0.007562
[1113/5000][320/535][114795] Loss_D: -0.022205 Loss_G: 0.015725 Loss_D_real: -0.015495 Loss_D_fake 0.006710
[1113/5000][325/535][114796] Loss_D: -0.021032 Loss_G: -0.002035 Loss_D_real: -0.008792 Loss_D_fake 0.012240
[1113/5000][330/535][114797] Loss_D: -0.019948 Loss_G: 0.017510 Loss_D_real: -0.037036 Loss_D_fake -0.017087
[1113/5000][335/535][114798] Loss_D: -0.019583 Loss_G: 0.023583 Loss_D_real: -0.030985 Loss_D_fake -0.011402
[1113/5000][340/535][114799] Loss_D: -0.019933 Loss_G: 0.005938 Loss_D_real: -0.016275 Loss_D_fake 0.003657
[1113/5000][345/535][114800] Loss_D: -0.019142 Loss_G: -0.017039 Loss_D_real: 0.000672 Loss_D_fake 0.019814
[1113/5000][350/535][114801] Loss_D: -0.020598 Loss_G: 0.001599 Loss_D_real: -0.015910 Loss_D_fake 0.004688
[1113/5000][355/535][114802] Loss_D: -0.019447 Loss_G: -0.000349 Loss_D_real: -0.016418 Loss_D_fake 0.003029
[1113/5000][360/535][114803] Loss_D: -0.021245 Loss_G: -0.000715 Loss_D_real: -0.001658 Loss_D_fake 0.019588
[1113/5000][365/535][114804] Loss_D: -0.022597 Loss_G: 0.011465 Loss_D_real: -0.016858 Loss_D_fake 0.005738
[1113/5000][370/535][114805] Loss_D: -0.022894 Loss_G: 0.009963 Loss_D_real: -0.015385 Loss_D_fake 0.007509
[1113/5000][375/535][114806] Loss_D: -0.021581 Loss_G: 0.002802 Loss_D_real: -0.015812 Loss_D_fake 0.005769
[1113/5000][380/535][114807] Loss_D: -0.021952 Loss_G: 0.014743 Loss_D_real: -0.020422 Loss_D_fake 0.001529
[1113/5000][385/535][114808] Loss_D: -0.022694 Loss_G: 0.003183 Loss_D_real: -0.010772 Loss_D_fake 0.011922
[1113/5000][390/535][114809] Loss_D: -0.022023 Loss_G: 0.017408 Loss_D_real: -0.021253 Loss_D_fake 0.000770
[1113/5000][395/535][114810] Loss_D: -0.021259 Loss_G: 0.018548 Loss_D_real: -0.032182 Loss_D_fake -0.010923
[1113/5000][400/535][114811] Loss_D: -0.022303 Loss_G: -0.015567 Loss_D_real: -0.005203 Loss_D_fake 0.017100
[1113/5000][405/535][114812] Loss_D: -0.021884 Loss_G: -0.004629 Loss_D_real: -0.009058 Loss_D_fake 0.012826
[1113/5000][410/535][114813] Loss_D: -0.020425 Loss_G: -0.009324 Loss_D_real: -0.001903 Loss_D_fake 0.018522
[1113/5000][415/535][114814] Loss_D: -0.021223 Loss_G: -0.003845 Loss_D_real: -0.013464 Loss_D_fake 0.007759
[1113/5000][420/535][114815] Loss_D: -0.022466 Loss_G: 0.002756 Loss_D_real: -0.011087 Loss_D_fake 0.011379
[1113/5000][425/535][114816] Loss_D: -0.022095 Loss_G: 0.005164 Loss_D_real: -0.024855 Loss_D_fake -0.002760
[1113/5000][430/535][114817] Loss_D: -0.021473 Loss_G: 0.010715 Loss_D_real: -0.021245 Loss_D_fake 0.000227
[1113/5000][435/535][114818] Loss_D: -0.023124 Loss_G: 0.003275 Loss_D_real: -0.018668 Loss_D_fake 0.004456
[1113/5000][440/535][114819] Loss_D: -0.021871 Loss_G: 0.025776 Loss_D_real: -0.011279 Loss_D_fake 0.010593
[1113/5000][445/535][114820] Loss_D: -0.021547 Loss_G: -0.011021 Loss_D_real: -0.010951 Loss_D_fake 0.010596
[1113/5000][450/535][114821] Loss_D: -0.020731 Loss_G: 0.018871 Loss_D_real: -0.026693 Loss_D_fake -0.005962
[1113/5000][455/535][114822] Loss_D: -0.018975 Loss_G: 0.007758 Loss_D_real: -0.033040 Loss_D_fake -0.014065
[1113/5000][460/535][114823] Loss_D: -0.020832 Loss_G: -0.005131 Loss_D_real: -0.018655 Loss_D_fake 0.002177
[1113/5000][465/535][114824] Loss_D: -0.020799 Loss_G: 0.033310 Loss_D_real: -0.033364 Loss_D_fake -0.012565
[1113/5000][470/535][114825] Loss_D: -0.019749 Loss_G: -0.011475 Loss_D_real: 0.005158 Loss_D_fake 0.024907
[1113/5000][475/535][114826] Loss_D: -0.021189 Loss_G: 0.015548 Loss_D_real: -0.023382 Loss_D_fake -0.002192
[1113/5000][480/535][114827] Loss_D: -0.021670 Loss_G: 0.005342 Loss_D_real: -0.001933 Loss_D_fake 0.019737
[1113/5000][485/535][114828] Loss_D: -0.021234 Loss_G: 0.018148 Loss_D_real: -0.023152 Loss_D_fake -0.001919
[1113/5000][490/535][114829] Loss_D: -0.022551 Loss_G: 0.014620 Loss_D_real: -0.034225 Loss_D_fake -0.011674
[1113/5000][495/535][114830] Loss_D: -0.021556 Loss_G: 0.015946 Loss_D_real: -0.016688 Loss_D_fake 0.004868
[1113/5000][500/535][114831] Loss_D: -0.021345 Loss_G: -0.005633 Loss_D_real: -0.021126 Loss_D_fake 0.000218
[1113/5000][505/535][114832] Loss_D: -0.021772 Loss_G: -0.000768 Loss_D_real: -0.015760 Loss_D_fake 0.006012
[1113/5000][510/535][114833] Loss_D: -0.021015 Loss_G: 0.003411 Loss_D_real: -0.014076 Loss_D_fake 0.006939
[1113/5000][515/535][114834] Loss_D: -0.020955 Loss_G: 0.016741 Loss_D_real: -0.024691 Loss_D_fake -0.003736
[1113/5000][520/535][114835] Loss_D: -0.021412 Loss_G: 0.000616 Loss_D_real: -0.005113 Loss_D_fake 0.016299
[1113/5000][525/535][114836] Loss_D: -0.021866 Loss_G: 0.001234 Loss_D_real: -0.002148 Loss_D_fake 0.019719
[1113/5000][530/535][114837] Loss_D: -0.021920 Loss_G: 0.016284 Loss_D_real: -0.018881 Loss_D_fake 0.003039
[1113/5000][535/535][114838] Loss_D: -0.024638 Loss_G: 0.010081 Loss_D_real: -0.017838 Loss_D_fake 0.006800
[1114/5000][5/535][114839] Loss_D: -0.022015 Loss_G: 0.012291 Loss_D_real: -0.025444 Loss_D_fake -0.003429
[1114/5000][10/535][114840] Loss_D: -0.021905 Loss_G: 0.011156 Loss_D_real: -0.023577 Loss_D_fake -0.001672
[1114/5000][15/535][114841] Loss_D: -0.021048 Loss_G: 0.000226 Loss_D_real: -0.013236 Loss_D_fake 0.007812
[1114/5000][20/535][114842] Loss_D: -0.020237 Loss_G: 0.013290 Loss_D_real: -0.036145 Loss_D_fake -0.015908
[1114/5000][25/535][114843] Loss_D: -0.022853 Loss_G: -0.007723 Loss_D_real: -0.009493 Loss_D_fake 0.013360
[1114/5000][30/535][114844] Loss_D: -0.019623 Loss_G: -0.023471 Loss_D_real: -0.001623 Loss_D_fake 0.018000
[1114/5000][35/535][114845] Loss_D: -0.021223 Loss_G: 0.014108 Loss_D_real: -0.031371 Loss_D_fake -0.010148
[1114/5000][40/535][114846] Loss_D: -0.021190 Loss_G: 0.010546 Loss_D_real: -0.021944 Loss_D_fake -0.000754
[1114/5000][45/535][114847] Loss_D: -0.020507 Loss_G: -0.002657 Loss_D_real: -0.005865 Loss_D_fake 0.014643
[1114/5000][50/535][114848] Loss_D: -0.021290 Loss_G: 0.014949 Loss_D_real: -0.019684 Loss_D_fake 0.001606
[1114/5000][55/535][114849] Loss_D: -0.023127 Loss_G: -0.013692 Loss_D_real: -0.013325 Loss_D_fake 0.009803
[1114/5000][60/535][114850] Loss_D: -0.021643 Loss_G: 0.011225 Loss_D_real: -0.016277 Loss_D_fake 0.005366
[1114/5000][65/535][114851] Loss_D: -0.021218 Loss_G: -0.004585 Loss_D_real: -0.013024 Loss_D_fake 0.008194
[1114/5000][70/535][114852] Loss_D: -0.021341 Loss_G: 0.011299 Loss_D_real: -0.024233 Loss_D_fake -0.002892
[1114/5000][75/535][114853] Loss_D: -0.021247 Loss_G: 0.020040 Loss_D_real: -0.028911 Loss_D_fake -0.007664
[1114/5000][80/535][114854] Loss_D: -0.021695 Loss_G: 0.012536 Loss_D_real: -0.008777 Loss_D_fake 0.012918
[1114/5000][85/535][114855] Loss_D: -0.020673 Loss_G: 0.011835 Loss_D_real: -0.024881 Loss_D_fake -0.004208
[1114/5000][90/535][114856] Loss_D: -0.021796 Loss_G: -0.001581 Loss_D_real: -0.008641 Loss_D_fake 0.013155
[1114/5000][95/535][114857] Loss_D: -0.021182 Loss_G: 0.020190 Loss_D_real: -0.017372 Loss_D_fake 0.003811
[1114/5000][100/535][114858] Loss_D: -0.019624 Loss_G: -0.001077 Loss_D_real: -0.012374 Loss_D_fake 0.007249
[1114/5000][105/535][114859] Loss_D: -0.020841 Loss_G: 0.014192 Loss_D_real: -0.024625 Loss_D_fake -0.003784
[1114/5000][110/535][114860] Loss_D: -0.020762 Loss_G: -0.023977 Loss_D_real: -0.009124 Loss_D_fake 0.011637
[1114/5000][115/535][114861] Loss_D: -0.022306 Loss_G: 0.016658 Loss_D_real: -0.016289 Loss_D_fake 0.006017
[1114/5000][120/535][114862] Loss_D: -0.022046 Loss_G: 0.014779 Loss_D_real: -0.022740 Loss_D_fake -0.000694
[1114/5000][125/535][114863] Loss_D: -0.020376 Loss_G: 0.020853 Loss_D_real: -0.031714 Loss_D_fake -0.011337
[1114/5000][130/535][114864] Loss_D: -0.021052 Loss_G: -0.013644 Loss_D_real: -0.011929 Loss_D_fake 0.009123
[1114/5000][135/535][114865] Loss_D: -0.021174 Loss_G: 0.013843 Loss_D_real: -0.013595 Loss_D_fake 0.007579
[1114/5000][140/535][114866] Loss_D: -0.020680 Loss_G: 0.005740 Loss_D_real: -0.018097 Loss_D_fake 0.002583
[1114/5000][145/535][114867] Loss_D: -0.020867 Loss_G: 0.007602 Loss_D_real: -0.022688 Loss_D_fake -0.001821
[1114/5000][150/535][114868] Loss_D: -0.020602 Loss_G: 0.028850 Loss_D_real: -0.028373 Loss_D_fake -0.007771
[1114/5000][155/535][114869] Loss_D: -0.020766 Loss_G: -0.000256 Loss_D_real: -0.012356 Loss_D_fake 0.008410
[1114/5000][160/535][114870] Loss_D: -0.021847 Loss_G: 0.009629 Loss_D_real: -0.022448 Loss_D_fake -0.000601
[1114/5000][165/535][114871] Loss_D: -0.020012 Loss_G: -0.000150 Loss_D_real: -0.004513 Loss_D_fake 0.015499
[1114/5000][170/535][114872] Loss_D: -0.019887 Loss_G: 0.002305 Loss_D_real: -0.022924 Loss_D_fake -0.003037
[1114/5000][175/535][114873] Loss_D: -0.021714 Loss_G: 0.012176 Loss_D_real: -0.014993 Loss_D_fake 0.006721
[1114/5000][180/535][114874] Loss_D: -0.021741 Loss_G: 0.020724 Loss_D_real: -0.025435 Loss_D_fake -0.003694
[1114/5000][185/535][114875] Loss_D: -0.022656 Loss_G: -0.007872 Loss_D_real: -0.005197 Loss_D_fake 0.017459
[1114/5000][190/535][114876] Loss_D: -0.020493 Loss_G: 0.017463 Loss_D_real: -0.037589 Loss_D_fake -0.017096
[1114/5000][195/535][114877] Loss_D: -0.021457 Loss_G: 0.010100 Loss_D_real: -0.019099 Loss_D_fake 0.002358
[1114/5000][200/535][114878] Loss_D: -0.020873 Loss_G: 0.007826 Loss_D_real: -0.011485 Loss_D_fake 0.009388
[1114/5000][205/535][114879] Loss_D: -0.021124 Loss_G: 0.011751 Loss_D_real: -0.017976 Loss_D_fake 0.003148
[1114/5000][210/535][114880] Loss_D: -0.020817 Loss_G: 0.019261 Loss_D_real: -0.028211 Loss_D_fake -0.007394
[1114/5000][215/535][114881] Loss_D: -0.021544 Loss_G: 0.005747 Loss_D_real: -0.013174 Loss_D_fake 0.008369
[1114/5000][220/535][114882] Loss_D: -0.020287 Loss_G: 0.028140 Loss_D_real: -0.033249 Loss_D_fake -0.012962
[1114/5000][225/535][114883] Loss_D: -0.022406 Loss_G: -0.012393 Loss_D_real: -0.006338 Loss_D_fake 0.016068
[1114/5000][230/535][114884] Loss_D: -0.021466 Loss_G: 0.017304 Loss_D_real: -0.015397 Loss_D_fake 0.006069
[1114/5000][235/535][114885] Loss_D: -0.019958 Loss_G: -0.009803 Loss_D_real: -0.011033 Loss_D_fake 0.008924
[1114/5000][240/535][114886] Loss_D: -0.020707 Loss_G: 0.017542 Loss_D_real: -0.032607 Loss_D_fake -0.011900
[1114/5000][245/535][114887] Loss_D: -0.020318 Loss_G: 0.014254 Loss_D_real: -0.015057 Loss_D_fake 0.005261
[1114/5000][250/535][114888] Loss_D: -0.020087 Loss_G: 0.014223 Loss_D_real: -0.026687 Loss_D_fake -0.006600
[1114/5000][255/535][114889] Loss_D: -0.020819 Loss_G: 0.000179 Loss_D_real: -0.014175 Loss_D_fake 0.006644
[1114/5000][260/535][114890] Loss_D: -0.021011 Loss_G: 0.031032 Loss_D_real: -0.021823 Loss_D_fake -0.000812
[1114/5000][265/535][114891] Loss_D: -0.021022 Loss_G: 0.011692 Loss_D_real: -0.014735 Loss_D_fake 0.006287
[1114/5000][270/535][114892] Loss_D: -0.019707 Loss_G: -0.006352 Loss_D_real: -0.013125 Loss_D_fake 0.006582
[1114/5000][275/535][114893] Loss_D: -0.021753 Loss_G: -0.012208 Loss_D_real: -0.013971 Loss_D_fake 0.007782
[1114/5000][280/535][114894] Loss_D: -0.020946 Loss_G: 0.007377 Loss_D_real: -0.019778 Loss_D_fake 0.001168
[1114/5000][285/535][114895] Loss_D: -0.022740 Loss_G: 0.008399 Loss_D_real: -0.011561 Loss_D_fake 0.011180
[1114/5000][290/535][114896] Loss_D: -0.022541 Loss_G: 0.008805 Loss_D_real: -0.009959 Loss_D_fake 0.012581
[1114/5000][295/535][114897] Loss_D: -0.021314 Loss_G: -0.002602 Loss_D_real: -0.024567 Loss_D_fake -0.003253
[1114/5000][300/535][114898] Loss_D: -0.020728 Loss_G: 0.016261 Loss_D_real: -0.024355 Loss_D_fake -0.003627
[1114/5000][305/535][114899] Loss_D: -0.020936 Loss_G: -0.001559 Loss_D_real: -0.006762 Loss_D_fake 0.014174
[1114/5000][310/535][114900] Loss_D: -0.020519 Loss_G: 0.000411 Loss_D_real: -0.017345 Loss_D_fake 0.003174
[1114/5000][315/535][114901] Loss_D: -0.021341 Loss_G: 0.003660 Loss_D_real: -0.012605 Loss_D_fake 0.008736
[1114/5000][320/535][114902] Loss_D: -0.020633 Loss_G: 0.006045 Loss_D_real: -0.012176 Loss_D_fake 0.008456
[1114/5000][325/535][114903] Loss_D: -0.021984 Loss_G: 0.002296 Loss_D_real: -0.028999 Loss_D_fake -0.007015
[1114/5000][330/535][114904] Loss_D: -0.022036 Loss_G: 0.013863 Loss_D_real: -0.018548 Loss_D_fake 0.003488
[1114/5000][335/535][114905] Loss_D: -0.021097 Loss_G: 0.020060 Loss_D_real: -0.024311 Loss_D_fake -0.003215
[1114/5000][340/535][114906] Loss_D: -0.021506 Loss_G: -0.001797 Loss_D_real: -0.011960 Loss_D_fake 0.009546
[1114/5000][345/535][114907] Loss_D: -0.020824 Loss_G: 0.021253 Loss_D_real: -0.023437 Loss_D_fake -0.002613
[1114/5000][350/535][114908] Loss_D: -0.021499 Loss_G: 0.003131 Loss_D_real: -0.017771 Loss_D_fake 0.003729
[1114/5000][355/535][114909] Loss_D: -0.021630 Loss_G: 0.004325 Loss_D_real: -0.024855 Loss_D_fake -0.003225
[1114/5000][360/535][114910] Loss_D: -0.021093 Loss_G: -0.015400 Loss_D_real: -0.004240 Loss_D_fake 0.016853
[1114/5000][365/535][114911] Loss_D: -0.018930 Loss_G: 0.034559 Loss_D_real: -0.030680 Loss_D_fake -0.011750
[1114/5000][370/535][114912] Loss_D: -0.021409 Loss_G: 0.006036 Loss_D_real: -0.015906 Loss_D_fake 0.005503
[1114/5000][375/535][114913] Loss_D: -0.021643 Loss_G: 0.019234 Loss_D_real: -0.023193 Loss_D_fake -0.001550
[1114/5000][380/535][114914] Loss_D: -0.022198 Loss_G: 0.008889 Loss_D_real: -0.018095 Loss_D_fake 0.004103
[1114/5000][385/535][114915] Loss_D: -0.021658 Loss_G: 0.009045 Loss_D_real: -0.029496 Loss_D_fake -0.007839
[1114/5000][390/535][114916] Loss_D: -0.022851 Loss_G: 0.008786 Loss_D_real: -0.020278 Loss_D_fake 0.002574
[1114/5000][395/535][114917] Loss_D: -0.022152 Loss_G: 0.026506 Loss_D_real: -0.030633 Loss_D_fake -0.008481
[1114/5000][400/535][114918] Loss_D: -0.022542 Loss_G: -0.010893 Loss_D_real: -0.013380 Loss_D_fake 0.009162
[1114/5000][405/535][114919] Loss_D: -0.020589 Loss_G: 0.016571 Loss_D_real: -0.022502 Loss_D_fake -0.001913
[1114/5000][410/535][114920] Loss_D: -0.021023 Loss_G: 0.003463 Loss_D_real: -0.014003 Loss_D_fake 0.007020
[1114/5000][415/535][114921] Loss_D: -0.021682 Loss_G: -0.004846 Loss_D_real: -0.005838 Loss_D_fake 0.015844
[1114/5000][420/535][114922] Loss_D: -0.022234 Loss_G: 0.022802 Loss_D_real: -0.020804 Loss_D_fake 0.001430
[1114/5000][425/535][114923] Loss_D: -0.020745 Loss_G: 0.000058 Loss_D_real: -0.021578 Loss_D_fake -0.000834
[1114/5000][430/535][114924] Loss_D: -0.021816 Loss_G: 0.005788 Loss_D_real: -0.015251 Loss_D_fake 0.006564
[1114/5000][435/535][114925] Loss_D: -0.021456 Loss_G: -0.004031 Loss_D_real: -0.011984 Loss_D_fake 0.009472
[1114/5000][440/535][114926] Loss_D: -0.021625 Loss_G: -0.007301 Loss_D_real: -0.016680 Loss_D_fake 0.004945
[1114/5000][445/535][114927] Loss_D: -0.021727 Loss_G: 0.012265 Loss_D_real: -0.025170 Loss_D_fake -0.003443
[1114/5000][450/535][114928] Loss_D: -0.021270 Loss_G: -0.011223 Loss_D_real: -0.003851 Loss_D_fake 0.017419
[1114/5000][455/535][114929] Loss_D: -0.021262 Loss_G: 0.019478 Loss_D_real: -0.018213 Loss_D_fake 0.003050
[1114/5000][460/535][114930] Loss_D: -0.019615 Loss_G: 0.026165 Loss_D_real: -0.034497 Loss_D_fake -0.014882
[1114/5000][465/535][114931] Loss_D: -0.020516 Loss_G: 0.004560 Loss_D_real: -0.029662 Loss_D_fake -0.009146
[1114/5000][470/535][114932] Loss_D: -0.021231 Loss_G: 0.009899 Loss_D_real: -0.018410 Loss_D_fake 0.002821
[1114/5000][475/535][114933] Loss_D: -0.021022 Loss_G: -0.018147 Loss_D_real: 0.003098 Loss_D_fake 0.024121
[1114/5000][480/535][114934] Loss_D: -0.020521 Loss_G: 0.003490 Loss_D_real: -0.021777 Loss_D_fake -0.001257
[1114/5000][485/535][114935] Loss_D: -0.019083 Loss_G: -0.010852 Loss_D_real: -0.005946 Loss_D_fake 0.013137
[1114/5000][490/535][114936] Loss_D: -0.020033 Loss_G: 0.012315 Loss_D_real: -0.013206 Loss_D_fake 0.006827
[1114/5000][495/535][114937] Loss_D: -0.021222 Loss_G: 0.011239 Loss_D_real: -0.014836 Loss_D_fake 0.006386
[1114/5000][500/535][114938] Loss_D: -0.020581 Loss_G: -0.003751 Loss_D_real: -0.006987 Loss_D_fake 0.013594
[1114/5000][505/535][114939] Loss_D: -0.021037 Loss_G: -0.005848 Loss_D_real: -0.003932 Loss_D_fake 0.017105
[1114/5000][510/535][114940] Loss_D: -0.021126 Loss_G: 0.011541 Loss_D_real: -0.025258 Loss_D_fake -0.004132
[1114/5000][515/535][114941] Loss_D: -0.021277 Loss_G: 0.027621 Loss_D_real: -0.019754 Loss_D_fake 0.001523
[1114/5000][520/535][114942] Loss_D: -0.019640 Loss_G: -0.018761 Loss_D_real: -0.006457 Loss_D_fake 0.013183
[1114/5000][525/535][114943] Loss_D: -0.019980 Loss_G: -0.018997 Loss_D_real: 0.000401 Loss_D_fake 0.020381
[1114/5000][530/535][114944] Loss_D: -0.021755 Loss_G: 0.019028 Loss_D_real: -0.019751 Loss_D_fake 0.002004
[1114/5000][535/535][114945] Loss_D: -0.019003 Loss_G: 0.025466 Loss_D_real: -0.016398 Loss_D_fake 0.002604
[1115/5000][5/535][114946] Loss_D: -0.020510 Loss_G: -0.006319 Loss_D_real: -0.025120 Loss_D_fake -0.004610
[1115/5000][10/535][114947] Loss_D: -0.020199 Loss_G: 0.001570 Loss_D_real: -0.010003 Loss_D_fake 0.010196
[1115/5000][15/535][114948] Loss_D: -0.021215 Loss_G: 0.007951 Loss_D_real: -0.021345 Loss_D_fake -0.000130
[1115/5000][20/535][114949] Loss_D: -0.020769 Loss_G: 0.002270 Loss_D_real: -0.008259 Loss_D_fake 0.012510
[1115/5000][25/535][114950] Loss_D: -0.020839 Loss_G: 0.000683 Loss_D_real: -0.023395 Loss_D_fake -0.002557
[1115/5000][30/535][114951] Loss_D: -0.020657 Loss_G: -0.003727 Loss_D_real: -0.009665 Loss_D_fake 0.010992
[1115/5000][35/535][114952] Loss_D: -0.020610 Loss_G: 0.015163 Loss_D_real: -0.031545 Loss_D_fake -0.010936
[1115/5000][40/535][114953] Loss_D: -0.021483 Loss_G: 0.003526 Loss_D_real: -0.004085 Loss_D_fake 0.017398
[1115/5000][45/535][114954] Loss_D: -0.022430 Loss_G: 0.013499 Loss_D_real: -0.022552 Loss_D_fake -0.000122
[1115/5000][50/535][114955] Loss_D: -0.021001 Loss_G: 0.002432 Loss_D_real: -0.010781 Loss_D_fake 0.010220
[1115/5000][55/535][114956] Loss_D: -0.021518 Loss_G: 0.037362 Loss_D_real: -0.029703 Loss_D_fake -0.008185
[1115/5000][60/535][114957] Loss_D: -0.022042 Loss_G: 0.000425 Loss_D_real: -0.002861 Loss_D_fake 0.019182
[1115/5000][65/535][114958] Loss_D: -0.020550 Loss_G: 0.009736 Loss_D_real: -0.012516 Loss_D_fake 0.008034
[1115/5000][70/535][114959] Loss_D: -0.022018 Loss_G: -0.004445 Loss_D_real: -0.014621 Loss_D_fake 0.007397
[1115/5000][75/535][114960] Loss_D: -0.020534 Loss_G: 0.017272 Loss_D_real: -0.014627 Loss_D_fake 0.005907
[1115/5000][80/535][114961] Loss_D: -0.021283 Loss_G: 0.013056 Loss_D_real: -0.018151 Loss_D_fake 0.003133
[1115/5000][85/535][114962] Loss_D: -0.020715 Loss_G: 0.017659 Loss_D_real: -0.026391 Loss_D_fake -0.005676
[1115/5000][90/535][114963] Loss_D: -0.021549 Loss_G: -0.003445 Loss_D_real: -0.006748 Loss_D_fake 0.014801
[1115/5000][95/535][114964] Loss_D: -0.020871 Loss_G: 0.021972 Loss_D_real: -0.020764 Loss_D_fake 0.000107
[1115/5000][100/535][114965] Loss_D: -0.022284 Loss_G: 0.010187 Loss_D_real: -0.004365 Loss_D_fake 0.017919
[1115/5000][105/535][114966] Loss_D: -0.022439 Loss_G: -0.006432 Loss_D_real: -0.018526 Loss_D_fake 0.003913
[1115/5000][110/535][114967] Loss_D: -0.021327 Loss_G: 0.014421 Loss_D_real: -0.021920 Loss_D_fake -0.000593
[1115/5000][115/535][114968] Loss_D: -0.020292 Loss_G: 0.029542 Loss_D_real: -0.027517 Loss_D_fake -0.007225
[1115/5000][120/535][114969] Loss_D: -0.021996 Loss_G: 0.015943 Loss_D_real: -0.030902 Loss_D_fake -0.008906
[1115/5000][125/535][114970] Loss_D: -0.021949 Loss_G: 0.018349 Loss_D_real: -0.026826 Loss_D_fake -0.004877
[1115/5000][130/535][114971] Loss_D: -0.021702 Loss_G: -0.008794 Loss_D_real: -0.003967 Loss_D_fake 0.017735
[1115/5000][135/535][114972] Loss_D: -0.022511 Loss_G: 0.000836 Loss_D_real: -0.023397 Loss_D_fake -0.000886
[1115/5000][140/535][114973] Loss_D: -0.021769 Loss_G: 0.000087 Loss_D_real: -0.018250 Loss_D_fake 0.003519
[1115/5000][145/535][114974] Loss_D: -0.021775 Loss_G: 0.014329 Loss_D_real: -0.025296 Loss_D_fake -0.003521
[1115/5000][150/535][114975] Loss_D: -0.020417 Loss_G: -0.005067 Loss_D_real: -0.019301 Loss_D_fake 0.001116
[1115/5000][155/535][114976] Loss_D: -0.021703 Loss_G: 0.009833 Loss_D_real: -0.006026 Loss_D_fake 0.015678
[1115/5000][160/535][114977] Loss_D: -0.021012 Loss_G: 0.012152 Loss_D_real: -0.027967 Loss_D_fake -0.006955
[1115/5000][165/535][114978] Loss_D: -0.021292 Loss_G: 0.019141 Loss_D_real: -0.031097 Loss_D_fake -0.009805
[1115/5000][170/535][114979] Loss_D: -0.021961 Loss_G: -0.011305 Loss_D_real: -0.013894 Loss_D_fake 0.008067
[1115/5000][175/535][114980] Loss_D: -0.021857 Loss_G: 0.005323 Loss_D_real: -0.018952 Loss_D_fake 0.002904
[1115/5000][180/535][114981] Loss_D: -0.021345 Loss_G: 0.005330 Loss_D_real: -0.017514 Loss_D_fake 0.003831
[1115/5000][185/535][114982] Loss_D: -0.021778 Loss_G: 0.003686 Loss_D_real: -0.007175 Loss_D_fake 0.014603
[1115/5000][190/535][114983] Loss_D: -0.021072 Loss_G: -0.000004 Loss_D_real: -0.002888 Loss_D_fake 0.018184
[1115/5000][195/535][114984] Loss_D: -0.020923 Loss_G: 0.003135 Loss_D_real: -0.010838 Loss_D_fake 0.010085
[1115/5000][200/535][114985] Loss_D: -0.020579 Loss_G: 0.024339 Loss_D_real: -0.031868 Loss_D_fake -0.011289
[1115/5000][205/535][114986] Loss_D: -0.021284 Loss_G: 0.010245 Loss_D_real: -0.012410 Loss_D_fake 0.008874
[1115/5000][210/535][114987] Loss_D: -0.019373 Loss_G: 0.032344 Loss_D_real: -0.036559 Loss_D_fake -0.017186
[1115/5000][215/535][114988] Loss_D: -0.020744 Loss_G: 0.013986 Loss_D_real: -0.012984 Loss_D_fake 0.007760
[1115/5000][220/535][114989] Loss_D: -0.022456 Loss_G: 0.005240 Loss_D_real: -0.014368 Loss_D_fake 0.008088
[1115/5000][225/535][114990] Loss_D: -0.021380 Loss_G: -0.007827 Loss_D_real: -0.019391 Loss_D_fake 0.001988
[1115/5000][230/535][114991] Loss_D: -0.020114 Loss_G: -0.019524 Loss_D_real: -0.001503 Loss_D_fake 0.018610
[1115/5000][235/535][114992] Loss_D: -0.021800 Loss_G: -0.004948 Loss_D_real: -0.015094 Loss_D_fake 0.006706
[1115/5000][240/535][114993] Loss_D: -0.019434 Loss_G: 0.023855 Loss_D_real: -0.035971 Loss_D_fake -0.016537
[1115/5000][245/535][114994] Loss_D: -0.020362 Loss_G: -0.007647 Loss_D_real: -0.012932 Loss_D_fake 0.007430
[1115/5000][250/535][114995] Loss_D: -0.020023 Loss_G: 0.008380 Loss_D_real: -0.016717 Loss_D_fake 0.003306
[1115/5000][255/535][114996] Loss_D: -0.021025 Loss_G: 0.009853 Loss_D_real: -0.014857 Loss_D_fake 0.006168
[1115/5000][260/535][114997] Loss_D: -0.021041 Loss_G: -0.002790 Loss_D_real: -0.010358 Loss_D_fake 0.010682
[1115/5000][265/535][114998] Loss_D: -0.020738 Loss_G: 0.019777 Loss_D_real: -0.021546 Loss_D_fake -0.000809
[1115/5000][270/535][114999] Loss_D: -0.021543 Loss_G: 0.026827 Loss_D_real: -0.026811 Loss_D_fake -0.005268
[1115/5000][275/535][115000] Loss_D: -0.019656 Loss_G: 0.021940 Loss_D_real: -0.032944 Loss_D_fake -0.013288
[1115/5000][375/535][115001] Loss_D: -0.023299 Loss_G: -0.018508 Loss_D_real: 0.019509 Loss_D_fake 0.042808
[1115/5000][380/535][115002] Loss_D: -0.022971 Loss_G: 0.013862 Loss_D_real: -0.009825 Loss_D_fake 0.013145
[1115/5000][385/535][115003] Loss_D: -0.020497 Loss_G: 0.007992 Loss_D_real: -0.016047 Loss_D_fake 0.004451
[1115/5000][390/535][115004] Loss_D: -0.019111 Loss_G: 0.005057 Loss_D_real: -0.010666 Loss_D_fake 0.008445
[1115/5000][395/535][115005] Loss_D: -0.021111 Loss_G: 0.014556 Loss_D_real: -0.022306 Loss_D_fake -0.001195
[1115/5000][400/535][115006] Loss_D: -0.019740 Loss_G: 0.001492 Loss_D_real: -0.018664 Loss_D_fake 0.001077
[1115/5000][405/535][115007] Loss_D: -0.020668 Loss_G: 0.004965 Loss_D_real: -0.009713 Loss_D_fake 0.010955
[1115/5000][410/535][115008] Loss_D: -0.020737 Loss_G: 0.000113 Loss_D_real: -0.018532 Loss_D_fake 0.002205
[1115/5000][415/535][115009] Loss_D: -0.019788 Loss_G: 0.013651 Loss_D_real: -0.021270 Loss_D_fake -0.001482
[1115/5000][420/535][115010] Loss_D: -0.020900 Loss_G: -0.005047 Loss_D_real: -0.006483 Loss_D_fake 0.014417
[1115/5000][425/535][115011] Loss_D: -0.020877 Loss_G: -0.002608 Loss_D_real: -0.007367 Loss_D_fake 0.013510
[1115/5000][430/535][115012] Loss_D: -0.019816 Loss_G: -0.002205 Loss_D_real: -0.015632 Loss_D_fake 0.004184
[1115/5000][435/535][115013] Loss_D: -0.019953 Loss_G: 0.011295 Loss_D_real: -0.014683 Loss_D_fake 0.005270
[1115/5000][440/535][115014] Loss_D: -0.020892 Loss_G: -0.000537 Loss_D_real: -0.020768 Loss_D_fake 0.000124
[1115/5000][445/535][115015] Loss_D: -0.021484 Loss_G: 0.007951 Loss_D_real: -0.011033 Loss_D_fake 0.010451
[1115/5000][450/535][115016] Loss_D: -0.019432 Loss_G: -0.004459 Loss_D_real: -0.006225 Loss_D_fake 0.013207
[1115/5000][455/535][115017] Loss_D: -0.019440 Loss_G: -0.003080 Loss_D_real: -0.008858 Loss_D_fake 0.010582
[1115/5000][460/535][115018] Loss_D: -0.019893 Loss_G: 0.002081 Loss_D_real: -0.013803 Loss_D_fake 0.006090
[1115/5000][465/535][115019] Loss_D: -0.021734 Loss_G: 0.012717 Loss_D_real: -0.032910 Loss_D_fake -0.011176
[1115/5000][470/535][115020] Loss_D: -0.022842 Loss_G: 0.004646 Loss_D_real: -0.019106 Loss_D_fake 0.003736
[1115/5000][475/535][115021] Loss_D: -0.022185 Loss_G: 0.016610 Loss_D_real: -0.017395 Loss_D_fake 0.004791
[1115/5000][480/535][115022] Loss_D: -0.021759 Loss_G: 0.004979 Loss_D_real: -0.019545 Loss_D_fake 0.002214
[1115/5000][485/535][115023] Loss_D: -0.020977 Loss_G: 0.020539 Loss_D_real: -0.029053 Loss_D_fake -0.008075
[1115/5000][490/535][115024] Loss_D: -0.020321 Loss_G: 0.010267 Loss_D_real: -0.016430 Loss_D_fake 0.003891
[1115/5000][495/535][115025] Loss_D: -0.020276 Loss_G: 0.006045 Loss_D_real: -0.013842 Loss_D_fake 0.006433
[1115/5000][500/535][115026] Loss_D: -0.020743 Loss_G: 0.011211 Loss_D_real: -0.020300 Loss_D_fake 0.000443
[1115/5000][505/535][115027] Loss_D: -0.020475 Loss_G: 0.008754 Loss_D_real: -0.017036 Loss_D_fake 0.003439
[1115/5000][510/535][115028] Loss_D: -0.020788 Loss_G: -0.015031 Loss_D_real: -0.008595 Loss_D_fake 0.012193
[1115/5000][515/535][115029] Loss_D: -0.020296 Loss_G: 0.011927 Loss_D_real: -0.031319 Loss_D_fake -0.011023
[1115/5000][520/535][115030] Loss_D: -0.021460 Loss_G: 0.007912 Loss_D_real: -0.018123 Loss_D_fake 0.003337
[1115/5000][525/535][115031] Loss_D: -0.021739 Loss_G: 0.012816 Loss_D_real: -0.016530 Loss_D_fake 0.005209
[1115/5000][530/535][115032] Loss_D: -0.021489 Loss_G: 0.001724 Loss_D_real: -0.013549 Loss_D_fake 0.007940
[1115/5000][535/535][115033] Loss_D: -0.021508 Loss_G: -0.018336 Loss_D_real: -0.023738 Loss_D_fake -0.002231
[1116/5000][5/535][115034] Loss_D: -0.023493 Loss_G: -0.005171 Loss_D_real: 0.004250 Loss_D_fake 0.027743
[1116/5000][10/535][115035] Loss_D: -0.020670 Loss_G: 0.013988 Loss_D_real: -0.023513 Loss_D_fake -0.002842
[1116/5000][15/535][115036] Loss_D: -0.020795 Loss_G: 0.011491 Loss_D_real: -0.021588 Loss_D_fake -0.000793
[1116/5000][20/535][115037] Loss_D: -0.021225 Loss_G: -0.004440 Loss_D_real: -0.005360 Loss_D_fake 0.015865
[1116/5000][25/535][115038] Loss_D: -0.021216 Loss_G: -0.000951 Loss_D_real: -0.020731 Loss_D_fake 0.000484
[1116/5000][30/535][115039] Loss_D: -0.021501 Loss_G: 0.013042 Loss_D_real: -0.016878 Loss_D_fake 0.004623
[1116/5000][35/535][115040] Loss_D: -0.022556 Loss_G: 0.019281 Loss_D_real: -0.014308 Loss_D_fake 0.008248
[1116/5000][40/535][115041] Loss_D: -0.019307 Loss_G: -0.024966 Loss_D_real: 0.007493 Loss_D_fake 0.026799
[1116/5000][45/535][115042] Loss_D: -0.020384 Loss_G: 0.029743 Loss_D_real: -0.029257 Loss_D_fake -0.008873
[1116/5000][50/535][115043] Loss_D: -0.020993 Loss_G: 0.014401 Loss_D_real: -0.011275 Loss_D_fake 0.009717
[1116/5000][55/535][115044] Loss_D: -0.021372 Loss_G: 0.008672 Loss_D_real: -0.010370 Loss_D_fake 0.011001
[1116/5000][60/535][115045] Loss_D: -0.022280 Loss_G: -0.005128 Loss_D_real: -0.020645 Loss_D_fake 0.001635
[1116/5000][65/535][115046] Loss_D: -0.020374 Loss_G: 0.017426 Loss_D_real: -0.023406 Loss_D_fake -0.003031
[1116/5000][70/535][115047] Loss_D: -0.020688 Loss_G: 0.013387 Loss_D_real: -0.022000 Loss_D_fake -0.001312
[1116/5000][75/535][115048] Loss_D: -0.019626 Loss_G: 0.006770 Loss_D_real: -0.026981 Loss_D_fake -0.007355
[1116/5000][80/535][115049] Loss_D: -0.020685 Loss_G: -0.005010 Loss_D_real: -0.011351 Loss_D_fake 0.009334
[1116/5000][85/535][115050] Loss_D: -0.022019 Loss_G: -0.003286 Loss_D_real: -0.019131 Loss_D_fake 0.002888
[1116/5000][90/535][115051] Loss_D: -0.021938 Loss_G: 0.017476 Loss_D_real: -0.029709 Loss_D_fake -0.007771
[1116/5000][95/535][115052] Loss_D: -0.020860 Loss_G: -0.005551 Loss_D_real: -0.009759 Loss_D_fake 0.011102
[1116/5000][100/535][115053] Loss_D: -0.021153 Loss_G: -0.014967 Loss_D_real: -0.005367 Loss_D_fake 0.015786
[1116/5000][105/535][115054] Loss_D: -0.021944 Loss_G: 0.019344 Loss_D_real: -0.025679 Loss_D_fake -0.003734
[1116/5000][110/535][115055] Loss_D: -0.020907 Loss_G: 0.025192 Loss_D_real: -0.023261 Loss_D_fake -0.002354
[1116/5000][115/535][115056] Loss_D: -0.020371 Loss_G: 0.020554 Loss_D_real: -0.028446 Loss_D_fake -0.008075
[1116/5000][120/535][115057] Loss_D: -0.019531 Loss_G: -0.014562 Loss_D_real: -0.003858 Loss_D_fake 0.015673
[1116/5000][125/535][115058] Loss_D: -0.021550 Loss_G: 0.012692 Loss_D_real: -0.020846 Loss_D_fake 0.000704
[1116/5000][130/535][115059] Loss_D: -0.021678 Loss_G: 0.016884 Loss_D_real: -0.019860 Loss_D_fake 0.001818
[1116/5000][135/535][115060] Loss_D: -0.021118 Loss_G: 0.002609 Loss_D_real: -0.018021 Loss_D_fake 0.003097
[1116/5000][140/535][115061] Loss_D: -0.021417 Loss_G: 0.019509 Loss_D_real: -0.016232 Loss_D_fake 0.005185
[1116/5000][145/535][115062] Loss_D: -0.021797 Loss_G: 0.021474 Loss_D_real: -0.022998 Loss_D_fake -0.001201
[1116/5000][150/535][115063] Loss_D: -0.021310 Loss_G: 0.014479 Loss_D_real: -0.033308 Loss_D_fake -0.011998
[1116/5000][155/535][115064] Loss_D: -0.022329 Loss_G: 0.006080 Loss_D_real: -0.012176 Loss_D_fake 0.010153
[1116/5000][160/535][115065] Loss_D: -0.020482 Loss_G: 0.028441 Loss_D_real: -0.025621 Loss_D_fake -0.005139
[1116/5000][165/535][115066] Loss_D: -0.021526 Loss_G: -0.010749 Loss_D_real: -0.003481 Loss_D_fake 0.018045
[1116/5000][170/535][115067] Loss_D: -0.020575 Loss_G: 0.003905 Loss_D_real: -0.027789 Loss_D_fake -0.007214
[1116/5000][175/535][115068] Loss_D: -0.020894 Loss_G: 0.010045 Loss_D_real: -0.034127 Loss_D_fake -0.013233
[1116/5000][180/535][115069] Loss_D: -0.021130 Loss_G: 0.007749 Loss_D_real: -0.012782 Loss_D_fake 0.008348
[1116/5000][185/535][115070] Loss_D: -0.021933 Loss_G: -0.003084 Loss_D_real: -0.018351 Loss_D_fake 0.003582
[1116/5000][190/535][115071] Loss_D: -0.021312 Loss_G: 0.013256 Loss_D_real: -0.022099 Loss_D_fake -0.000787
[1116/5000][195/535][115072] Loss_D: -0.021119 Loss_G: 0.010037 Loss_D_real: -0.016229 Loss_D_fake 0.004890
[1116/5000][200/535][115073] Loss_D: -0.020644 Loss_G: 0.012808 Loss_D_real: -0.013438 Loss_D_fake 0.007206
[1116/5000][205/535][115074] Loss_D: -0.021155 Loss_G: 0.018320 Loss_D_real: -0.021745 Loss_D_fake -0.000590
[1116/5000][210/535][115075] Loss_D: -0.021417 Loss_G: 0.004255 Loss_D_real: -0.018650 Loss_D_fake 0.002767
[1116/5000][215/535][115076] Loss_D: -0.021316 Loss_G: 0.005400 Loss_D_real: -0.020410 Loss_D_fake 0.000906
[1116/5000][220/535][115077] Loss_D: -0.021675 Loss_G: 0.024192 Loss_D_real: -0.025703 Loss_D_fake -0.004028
[1116/5000][225/535][115078] Loss_D: -0.020767 Loss_G: 0.017658 Loss_D_real: -0.027646 Loss_D_fake -0.006879
[1116/5000][230/535][115079] Loss_D: -0.020627 Loss_G: 0.023163 Loss_D_real: -0.030812 Loss_D_fake -0.010184
[1116/5000][235/535][115080] Loss_D: -0.022052 Loss_G: 0.014243 Loss_D_real: -0.010852 Loss_D_fake 0.011200
[1116/5000][240/535][115081] Loss_D: -0.021084 Loss_G: 0.020297 Loss_D_real: -0.034086 Loss_D_fake -0.013001
[1116/5000][245/535][115082] Loss_D: -0.021094 Loss_G: 0.003497 Loss_D_real: -0.020625 Loss_D_fake 0.000470
[1116/5000][250/535][115083] Loss_D: -0.021885 Loss_G: 0.003373 Loss_D_real: -0.025985 Loss_D_fake -0.004100
[1116/5000][255/535][115084] Loss_D: -0.022470 Loss_G: 0.031408 Loss_D_real: -0.021597 Loss_D_fake 0.000873
[1116/5000][260/535][115085] Loss_D: -0.020977 Loss_G: 0.003027 Loss_D_real: -0.009122 Loss_D_fake 0.011855
[1116/5000][265/535][115086] Loss_D: -0.021343 Loss_G: 0.011609 Loss_D_real: -0.013245 Loss_D_fake 0.008097
[1116/5000][270/535][115087] Loss_D: -0.020927 Loss_G: 0.012051 Loss_D_real: -0.025864 Loss_D_fake -0.004937
[1116/5000][275/535][115088] Loss_D: -0.020601 Loss_G: 0.024632 Loss_D_real: -0.013031 Loss_D_fake 0.007570
[1116/5000][280/535][115089] Loss_D: -0.022341 Loss_G: 0.007932 Loss_D_real: -0.023589 Loss_D_fake -0.001248
[1116/5000][285/535][115090] Loss_D: -0.019793 Loss_G: 0.020545 Loss_D_real: -0.018343 Loss_D_fake 0.001449
[1116/5000][290/535][115091] Loss_D: -0.019346 Loss_G: 0.015622 Loss_D_real: -0.034110 Loss_D_fake -0.014764
[1116/5000][295/535][115092] Loss_D: -0.020845 Loss_G: 0.011629 Loss_D_real: -0.021903 Loss_D_fake -0.001058
[1116/5000][300/535][115093] Loss_D: -0.021322 Loss_G: 0.006030 Loss_D_real: -0.017606 Loss_D_fake 0.003716
[1116/5000][305/535][115094] Loss_D: -0.021637 Loss_G: 0.003446 Loss_D_real: -0.014188 Loss_D_fake 0.007449
[1116/5000][310/535][115095] Loss_D: -0.020736 Loss_G: 0.009391 Loss_D_real: -0.029941 Loss_D_fake -0.009205
[1116/5000][315/535][115096] Loss_D: -0.020246 Loss_G: 0.026865 Loss_D_real: -0.026721 Loss_D_fake -0.006474
[1116/5000][320/535][115097] Loss_D: -0.021587 Loss_G: 0.009913 Loss_D_real: -0.029964 Loss_D_fake -0.008377
[1116/5000][325/535][115098] Loss_D: -0.021852 Loss_G: 0.020404 Loss_D_real: -0.020079 Loss_D_fake 0.001773
[1116/5000][330/535][115099] Loss_D: -0.019365 Loss_G: 0.026777 Loss_D_real: -0.037223 Loss_D_fake -0.017858
[1116/5000][335/535][115100] Loss_D: -0.021726 Loss_G: -0.008324 Loss_D_real: -0.005516 Loss_D_fake 0.016210
[1116/5000][340/535][115101] Loss_D: -0.020143 Loss_G: 0.023112 Loss_D_real: -0.028457 Loss_D_fake -0.008313
[1116/5000][345/535][115102] Loss_D: -0.021808 Loss_G: -0.017650 Loss_D_real: -0.004097 Loss_D_fake 0.017711
[1116/5000][350/535][115103] Loss_D: -0.021979 Loss_G: 0.005220 Loss_D_real: -0.010087 Loss_D_fake 0.011892
[1116/5000][355/535][115104] Loss_D: -0.021814 Loss_G: 0.004381 Loss_D_real: -0.014689 Loss_D_fake 0.007125
[1116/5000][360/535][115105] Loss_D: -0.020423 Loss_G: 0.014520 Loss_D_real: -0.033295 Loss_D_fake -0.012873
[1116/5000][365/535][115106] Loss_D: -0.020238 Loss_G: -0.002328 Loss_D_real: -0.016145 Loss_D_fake 0.004093
[1116/5000][370/535][115107] Loss_D: -0.022817 Loss_G: 0.007587 Loss_D_real: -0.022794 Loss_D_fake 0.000022
[1116/5000][375/535][115108] Loss_D: -0.020470 Loss_G: -0.024481 Loss_D_real: -0.004132 Loss_D_fake 0.016338
[1116/5000][380/535][115109] Loss_D: -0.020851 Loss_G: 0.004997 Loss_D_real: -0.017987 Loss_D_fake 0.002863
[1116/5000][385/535][115110] Loss_D: -0.021293 Loss_G: -0.005334 Loss_D_real: -0.009467 Loss_D_fake 0.011827
[1116/5000][390/535][115111] Loss_D: -0.020940 Loss_G: 0.012802 Loss_D_real: -0.012389 Loss_D_fake 0.008551
[1116/5000][395/535][115112] Loss_D: -0.021179 Loss_G: 0.001163 Loss_D_real: -0.018297 Loss_D_fake 0.002882
[1116/5000][400/535][115113] Loss_D: -0.019969 Loss_G: 0.027705 Loss_D_real: -0.034731 Loss_D_fake -0.014762
[1116/5000][405/535][115114] Loss_D: -0.020456 Loss_G: -0.001090 Loss_D_real: -0.019571 Loss_D_fake 0.000885
[1116/5000][410/535][115115] Loss_D: -0.019819 Loss_G: 0.018359 Loss_D_real: -0.030150 Loss_D_fake -0.010331
[1116/5000][415/535][115116] Loss_D: -0.021316 Loss_G: 0.007004 Loss_D_real: -0.023624 Loss_D_fake -0.002308
[1116/5000][420/535][115117] Loss_D: -0.020765 Loss_G: 0.022704 Loss_D_real: -0.031935 Loss_D_fake -0.011171
[1116/5000][425/535][115118] Loss_D: -0.021740 Loss_G: 0.003241 Loss_D_real: -0.014475 Loss_D_fake 0.007265
[1116/5000][430/535][115119] Loss_D: -0.020932 Loss_G: -0.001426 Loss_D_real: -0.014570 Loss_D_fake 0.006362
[1116/5000][435/535][115120] Loss_D: -0.022577 Loss_G: 0.014592 Loss_D_real: -0.016785 Loss_D_fake 0.005793
[1116/5000][440/535][115121] Loss_D: -0.021402 Loss_G: 0.015570 Loss_D_real: -0.026215 Loss_D_fake -0.004813
[1116/5000][445/535][115122] Loss_D: -0.021498 Loss_G: 0.004418 Loss_D_real: -0.013951 Loss_D_fake 0.007547
[1116/5000][450/535][115123] Loss_D: -0.021735 Loss_G: 0.007654 Loss_D_real: -0.007460 Loss_D_fake 0.014276
[1116/5000][455/535][115124] Loss_D: -0.021365 Loss_G: -0.004246 Loss_D_real: -0.007320 Loss_D_fake 0.014045
[1116/5000][460/535][115125] Loss_D: -0.020776 Loss_G: 0.012693 Loss_D_real: -0.018139 Loss_D_fake 0.002637
[1116/5000][465/535][115126] Loss_D: -0.021156 Loss_G: -0.013278 Loss_D_real: -0.007246 Loss_D_fake 0.013910
[1116/5000][470/535][115127] Loss_D: -0.020833 Loss_G: 0.001655 Loss_D_real: -0.027781 Loss_D_fake -0.006947
[1116/5000][475/535][115128] Loss_D: -0.021245 Loss_G: 0.017624 Loss_D_real: -0.018547 Loss_D_fake 0.002698
[1116/5000][480/535][115129] Loss_D: -0.022600 Loss_G: 0.003275 Loss_D_real: -0.017153 Loss_D_fake 0.005448
[1116/5000][485/535][115130] Loss_D: -0.020781 Loss_G: 0.013124 Loss_D_real: -0.028303 Loss_D_fake -0.007523
[1116/5000][490/535][115131] Loss_D: -0.019465 Loss_G: -0.008236 Loss_D_real: -0.006585 Loss_D_fake 0.012881
[1116/5000][495/535][115132] Loss_D: -0.021641 Loss_G: 0.004201 Loss_D_real: -0.015394 Loss_D_fake 0.006247
[1116/5000][500/535][115133] Loss_D: -0.021450 Loss_G: 0.016473 Loss_D_real: -0.022248 Loss_D_fake -0.000798
[1116/5000][505/535][115134] Loss_D: -0.021199 Loss_G: 0.003626 Loss_D_real: -0.010416 Loss_D_fake 0.010783
[1116/5000][510/535][115135] Loss_D: -0.021348 Loss_G: 0.010555 Loss_D_real: -0.026769 Loss_D_fake -0.005421
[1116/5000][515/535][115136] Loss_D: -0.021505 Loss_G: 0.009139 Loss_D_real: -0.028657 Loss_D_fake -0.007152
[1116/5000][520/535][115137] Loss_D: -0.022982 Loss_G: 0.012566 Loss_D_real: -0.018012 Loss_D_fake 0.004970
[1116/5000][525/535][115138] Loss_D: -0.021477 Loss_G: -0.001088 Loss_D_real: -0.004603 Loss_D_fake 0.016875
[1116/5000][530/535][115139] Loss_D: -0.021312 Loss_G: 0.009660 Loss_D_real: -0.016742 Loss_D_fake 0.004570
[1116/5000][535/535][115140] Loss_D: -0.021306 Loss_G: 0.009984 Loss_D_real: -0.019464 Loss_D_fake 0.001842
[1117/5000][5/535][115141] Loss_D: -0.021954 Loss_G: 0.006227 Loss_D_real: -0.020463 Loss_D_fake 0.001491
[1117/5000][10/535][115142] Loss_D: -0.021408 Loss_G: 0.013937 Loss_D_real: -0.018216 Loss_D_fake 0.003192
[1117/5000][15/535][115143] Loss_D: -0.022129 Loss_G: 0.015317 Loss_D_real: -0.026206 Loss_D_fake -0.004077
[1117/5000][20/535][115144] Loss_D: -0.020152 Loss_G: 0.026203 Loss_D_real: -0.034316 Loss_D_fake -0.014164
[1117/5000][25/535][115145] Loss_D: -0.020707 Loss_G: 0.014319 Loss_D_real: -0.012380 Loss_D_fake 0.008327
[1117/5000][30/535][115146] Loss_D: -0.021898 Loss_G: 0.008521 Loss_D_real: -0.015192 Loss_D_fake 0.006705
[1117/5000][35/535][115147] Loss_D: -0.021027 Loss_G: 0.008015 Loss_D_real: -0.023631 Loss_D_fake -0.002603
[1117/5000][40/535][115148] Loss_D: -0.021476 Loss_G: 0.015873 Loss_D_real: -0.025638 Loss_D_fake -0.004162
[1117/5000][45/535][115149] Loss_D: -0.020976 Loss_G: -0.008461 Loss_D_real: -0.008055 Loss_D_fake 0.012921
[1117/5000][50/535][115150] Loss_D: -0.021165 Loss_G: 0.007116 Loss_D_real: -0.015310 Loss_D_fake 0.005855
[1117/5000][55/535][115151] Loss_D: -0.021070 Loss_G: 0.021063 Loss_D_real: -0.029331 Loss_D_fake -0.008261
[1117/5000][60/535][115152] Loss_D: -0.021307 Loss_G: 0.004591 Loss_D_real: -0.017521 Loss_D_fake 0.003786
[1117/5000][65/535][115153] Loss_D: -0.023271 Loss_G: 0.002822 Loss_D_real: -0.010655 Loss_D_fake 0.012616
[1117/5000][70/535][115154] Loss_D: -0.022343 Loss_G: -0.004298 Loss_D_real: -0.024780 Loss_D_fake -0.002438
[1117/5000][75/535][115155] Loss_D: -0.021930 Loss_G: 0.015203 Loss_D_real: -0.025660 Loss_D_fake -0.003730
[1117/5000][80/535][115156] Loss_D: -0.019823 Loss_G: 0.028454 Loss_D_real: -0.028275 Loss_D_fake -0.008452
[1117/5000][85/535][115157] Loss_D: -0.023040 Loss_G: 0.007277 Loss_D_real: -0.021950 Loss_D_fake 0.001089
[1117/5000][90/535][115158] Loss_D: -0.021966 Loss_G: 0.014743 Loss_D_real: -0.012032 Loss_D_fake 0.009933
[1117/5000][95/535][115159] Loss_D: -0.020964 Loss_G: 0.013008 Loss_D_real: -0.027626 Loss_D_fake -0.006662
[1117/5000][100/535][115160] Loss_D: -0.021095 Loss_G: -0.012343 Loss_D_real: -0.012302 Loss_D_fake 0.008793
[1117/5000][105/535][115161] Loss_D: -0.019929 Loss_G: 0.011460 Loss_D_real: -0.034448 Loss_D_fake -0.014519
[1117/5000][110/535][115162] Loss_D: -0.022992 Loss_G: 0.021719 Loss_D_real: -0.013700 Loss_D_fake 0.009292
[1117/5000][115/535][115163] Loss_D: -0.020668 Loss_G: -0.002471 Loss_D_real: -0.008900 Loss_D_fake 0.011768
[1117/5000][120/535][115164] Loss_D: -0.020211 Loss_G: 0.017778 Loss_D_real: -0.027203 Loss_D_fake -0.006992
[1117/5000][125/535][115165] Loss_D: -0.020682 Loss_G: -0.002460 Loss_D_real: -0.007284 Loss_D_fake 0.013398
[1117/5000][130/535][115166] Loss_D: -0.019729 Loss_G: 0.024930 Loss_D_real: -0.017902 Loss_D_fake 0.001827
[1117/5000][135/535][115167] Loss_D: -0.021491 Loss_G: 0.008578 Loss_D_real: -0.028058 Loss_D_fake -0.006567
[1117/5000][140/535][115168] Loss_D: -0.019568 Loss_G: 0.002938 Loss_D_real: -0.017455 Loss_D_fake 0.002113
[1117/5000][145/535][115169] Loss_D: -0.020939 Loss_G: 0.021576 Loss_D_real: -0.028285 Loss_D_fake -0.007346
[1117/5000][150/535][115170] Loss_D: -0.020180 Loss_G: 0.026789 Loss_D_real: -0.026598 Loss_D_fake -0.006418
[1117/5000][155/535][115171] Loss_D: -0.020031 Loss_G: 0.025399 Loss_D_real: -0.024339 Loss_D_fake -0.004308
[1117/5000][160/535][115172] Loss_D: -0.020285 Loss_G: 0.003614 Loss_D_real: -0.024102 Loss_D_fake -0.003818
[1117/5000][165/535][115173] Loss_D: -0.021096 Loss_G: 0.008047 Loss_D_real: -0.014119 Loss_D_fake 0.006977
[1117/5000][170/535][115174] Loss_D: -0.022862 Loss_G: 0.002423 Loss_D_real: -0.017272 Loss_D_fake 0.005590
[1117/5000][175/535][115175] Loss_D: -0.021661 Loss_G: 0.012981 Loss_D_real: -0.015274 Loss_D_fake 0.006387
[1117/5000][180/535][115176] Loss_D: -0.022012 Loss_G: 0.001844 Loss_D_real: -0.027338 Loss_D_fake -0.005326
[1117/5000][185/535][115177] Loss_D: -0.019080 Loss_G: 0.019589 Loss_D_real: -0.036133 Loss_D_fake -0.017053
[1117/5000][190/535][115178] Loss_D: -0.020155 Loss_G: 0.006008 Loss_D_real: -0.022279 Loss_D_fake -0.002124
[1117/5000][195/535][115179] Loss_D: -0.020677 Loss_G: 0.000574 Loss_D_real: -0.005912 Loss_D_fake 0.014765
[1117/5000][200/535][115180] Loss_D: -0.020663 Loss_G: -0.000273 Loss_D_real: -0.023424 Loss_D_fake -0.002761
[1117/5000][205/535][115181] Loss_D: -0.022014 Loss_G: 0.001110 Loss_D_real: -0.009562 Loss_D_fake 0.012452
[1117/5000][210/535][115182] Loss_D: -0.020834 Loss_G: 0.000422 Loss_D_real: -0.010868 Loss_D_fake 0.009966
[1117/5000][215/535][115183] Loss_D: -0.020300 Loss_G: 0.023566 Loss_D_real: -0.030801 Loss_D_fake -0.010501
[1117/5000][220/535][115184] Loss_D: -0.019856 Loss_G: 0.005973 Loss_D_real: -0.028212 Loss_D_fake -0.008356
[1117/5000][225/535][115185] Loss_D: -0.021479 Loss_G: 0.010976 Loss_D_real: -0.021624 Loss_D_fake -0.000145
[1117/5000][230/535][115186] Loss_D: -0.020840 Loss_G: 0.004855 Loss_D_real: -0.030492 Loss_D_fake -0.009652
[1117/5000][235/535][115187] Loss_D: -0.021307 Loss_G: -0.016894 Loss_D_real: -0.008815 Loss_D_fake 0.012492
[1117/5000][240/535][115188] Loss_D: -0.021559 Loss_G: 0.015991 Loss_D_real: -0.019937 Loss_D_fake 0.001622
[1117/5000][245/535][115189] Loss_D: -0.021548 Loss_G: -0.001509 Loss_D_real: -0.017553 Loss_D_fake 0.003995
[1117/5000][250/535][115190] Loss_D: -0.022211 Loss_G: 0.024362 Loss_D_real: -0.017899 Loss_D_fake 0.004312
[1117/5000][255/535][115191] Loss_D: -0.020460 Loss_G: -0.017076 Loss_D_real: -0.007406 Loss_D_fake 0.013054
[1117/5000][260/535][115192] Loss_D: -0.020508 Loss_G: 0.029467 Loss_D_real: -0.026710 Loss_D_fake -0.006202
[1117/5000][265/535][115193] Loss_D: -0.021126 Loss_G: -0.000598 Loss_D_real: -0.001961 Loss_D_fake 0.019166
[1117/5000][270/535][115194] Loss_D: -0.019648 Loss_G: -0.015404 Loss_D_real: -0.009050 Loss_D_fake 0.010598
[1117/5000][275/535][115195] Loss_D: -0.021287 Loss_G: 0.001616 Loss_D_real: -0.020418 Loss_D_fake 0.000870
[1117/5000][280/535][115196] Loss_D: -0.021053 Loss_G: -0.000655 Loss_D_real: -0.011159 Loss_D_fake 0.009894
[1117/5000][285/535][115197] Loss_D: -0.022475 Loss_G: 0.002086 Loss_D_real: -0.003511 Loss_D_fake 0.018963
[1117/5000][290/535][115198] Loss_D: -0.021137 Loss_G: 0.017466 Loss_D_real: -0.020711 Loss_D_fake 0.000426
[1117/5000][295/535][115199] Loss_D: -0.020793 Loss_G: -0.007031 Loss_D_real: -0.015305 Loss_D_fake 0.005488
[1117/5000][300/535][115200] Loss_D: -0.020612 Loss_G: 0.002987 Loss_D_real: -0.013006 Loss_D_fake 0.007606
[1117/5000][305/535][115201] Loss_D: -0.020994 Loss_G: 0.014721 Loss_D_real: -0.023065 Loss_D_fake -0.002071
[1117/5000][310/535][115202] Loss_D: -0.021102 Loss_G: 0.002873 Loss_D_real: 0.000771 Loss_D_fake 0.021873
[1117/5000][315/535][115203] Loss_D: -0.019588 Loss_G: 0.015312 Loss_D_real: -0.031492 Loss_D_fake -0.011904
[1117/5000][320/535][115204] Loss_D: -0.020949 Loss_G: -0.005879 Loss_D_real: -0.016230 Loss_D_fake 0.004718
[1117/5000][325/535][115205] Loss_D: -0.020186 Loss_G: -0.010094 Loss_D_real: -0.015008 Loss_D_fake 0.005178
[1117/5000][330/535][115206] Loss_D: -0.021425 Loss_G: 0.013610 Loss_D_real: -0.015402 Loss_D_fake 0.006023
[1117/5000][335/535][115207] Loss_D: -0.020767 Loss_G: 0.017319 Loss_D_real: -0.022202 Loss_D_fake -0.001435
[1117/5000][340/535][115208] Loss_D: -0.020032 Loss_G: 0.013307 Loss_D_real: -0.014608 Loss_D_fake 0.005425
[1117/5000][345/535][115209] Loss_D: -0.020015 Loss_G: 0.006160 Loss_D_real: -0.017823 Loss_D_fake 0.002192
[1117/5000][350/535][115210] Loss_D: -0.019734 Loss_G: 0.017723 Loss_D_real: -0.040221 Loss_D_fake -0.020487
[1117/5000][355/535][115211] Loss_D: -0.022017 Loss_G: 0.002566 Loss_D_real: -0.012625 Loss_D_fake 0.009392
[1117/5000][360/535][115212] Loss_D: -0.022487 Loss_G: -0.001081 Loss_D_real: -0.006192 Loss_D_fake 0.016294
[1117/5000][365/535][115213] Loss_D: -0.022833 Loss_G: 0.004635 Loss_D_real: -0.009976 Loss_D_fake 0.012857
[1117/5000][370/535][115214] Loss_D: -0.021557 Loss_G: -0.000387 Loss_D_real: -0.006283 Loss_D_fake 0.015275
[1117/5000][375/535][115215] Loss_D: -0.022294 Loss_G: 0.018632 Loss_D_real: -0.017831 Loss_D_fake 0.004463
[1117/5000][380/535][115216] Loss_D: -0.022103 Loss_G: -0.005962 Loss_D_real: 0.001045 Loss_D_fake 0.023148
[1117/5000][385/535][115217] Loss_D: -0.020816 Loss_G: -0.007391 Loss_D_real: -0.005532 Loss_D_fake 0.015284
[1117/5000][390/535][115218] Loss_D: -0.021642 Loss_G: 0.017536 Loss_D_real: -0.014786 Loss_D_fake 0.006856
[1117/5000][395/535][115219] Loss_D: -0.022817 Loss_G: 0.015717 Loss_D_real: -0.015615 Loss_D_fake 0.007202
[1117/5000][400/535][115220] Loss_D: -0.022680 Loss_G: -0.002161 Loss_D_real: -0.003529 Loss_D_fake 0.019151
[1117/5000][405/535][115221] Loss_D: -0.020908 Loss_G: 0.012586 Loss_D_real: -0.019424 Loss_D_fake 0.001484
[1117/5000][410/535][115222] Loss_D: -0.021859 Loss_G: 0.006836 Loss_D_real: -0.018598 Loss_D_fake 0.003261
[1117/5000][415/535][115223] Loss_D: -0.021701 Loss_G: -0.001682 Loss_D_real: -0.006590 Loss_D_fake 0.015111
[1117/5000][420/535][115224] Loss_D: -0.021360 Loss_G: 0.019323 Loss_D_real: -0.032166 Loss_D_fake -0.010806
[1117/5000][425/535][115225] Loss_D: -0.021999 Loss_G: 0.012047 Loss_D_real: -0.010411 Loss_D_fake 0.011587
[1117/5000][430/535][115226] Loss_D: -0.021571 Loss_G: 0.017928 Loss_D_real: -0.016986 Loss_D_fake 0.004586
[1117/5000][435/535][115227] Loss_D: -0.022097 Loss_G: 0.008521 Loss_D_real: -0.022518 Loss_D_fake -0.000420
[1117/5000][440/535][115228] Loss_D: -0.021607 Loss_G: 0.002816 Loss_D_real: -0.024021 Loss_D_fake -0.002414
[1117/5000][445/535][115229] Loss_D: -0.021738 Loss_G: 0.005915 Loss_D_real: -0.010759 Loss_D_fake 0.010979
[1117/5000][450/535][115230] Loss_D: -0.020588 Loss_G: 0.016972 Loss_D_real: -0.020602 Loss_D_fake -0.000014
[1117/5000][455/535][115231] Loss_D: -0.020464 Loss_G: -0.015665 Loss_D_real: 0.004361 Loss_D_fake 0.024825
[1117/5000][460/535][115232] Loss_D: -0.020188 Loss_G: -0.003997 Loss_D_real: -0.010738 Loss_D_fake 0.009449
[1117/5000][465/535][115233] Loss_D: -0.021832 Loss_G: 0.007521 Loss_D_real: -0.026407 Loss_D_fake -0.004575
[1117/5000][470/535][115234] Loss_D: -0.021892 Loss_G: 0.007571 Loss_D_real: -0.015537 Loss_D_fake 0.006355
[1117/5000][475/535][115235] Loss_D: -0.020429 Loss_G: -0.006622 Loss_D_real: -0.003825 Loss_D_fake 0.016604
[1117/5000][480/535][115236] Loss_D: -0.020743 Loss_G: 0.014469 Loss_D_real: -0.021958 Loss_D_fake -0.001215
[1117/5000][485/535][115237] Loss_D: -0.021326 Loss_G: -0.008759 Loss_D_real: -0.018877 Loss_D_fake 0.002449
[1117/5000][490/535][115238] Loss_D: -0.022280 Loss_G: 0.021461 Loss_D_real: -0.025699 Loss_D_fake -0.003420
[1117/5000][495/535][115239] Loss_D: -0.021011 Loss_G: 0.007443 Loss_D_real: -0.023263 Loss_D_fake -0.002252
[1117/5000][500/535][115240] Loss_D: -0.022767 Loss_G: 0.005142 Loss_D_real: -0.015541 Loss_D_fake 0.007226
[1117/5000][505/535][115241] Loss_D: -0.019467 Loss_G: 0.026064 Loss_D_real: -0.037336 Loss_D_fake -0.017870
[1117/5000][510/535][115242] Loss_D: -0.021056 Loss_G: -0.012167 Loss_D_real: -0.002678 Loss_D_fake 0.018378
[1117/5000][515/535][115243] Loss_D: -0.020460 Loss_G: 0.001536 Loss_D_real: -0.020084 Loss_D_fake 0.000376
[1117/5000][520/535][115244] Loss_D: -0.021084 Loss_G: 0.001515 Loss_D_real: -0.013090 Loss_D_fake 0.007995
[1117/5000][525/535][115245] Loss_D: -0.020269 Loss_G: 0.005149 Loss_D_real: -0.017811 Loss_D_fake 0.002458
[1117/5000][530/535][115246] Loss_D: -0.019511 Loss_G: 0.016755 Loss_D_real: -0.022425 Loss_D_fake -0.002913
[1117/5000][535/535][115247] Loss_D: -0.023508 Loss_G: -0.001578 Loss_D_real: -0.017317 Loss_D_fake 0.006191
[1118/5000][5/535][115248] Loss_D: -0.021634 Loss_G: 0.008970 Loss_D_real: -0.015142 Loss_D_fake 0.006492
[1118/5000][10/535][115249] Loss_D: -0.021669 Loss_G: -0.001138 Loss_D_real: -0.004040 Loss_D_fake 0.017630
[1118/5000][15/535][115250] Loss_D: -0.021137 Loss_G: 0.008435 Loss_D_real: -0.016278 Loss_D_fake 0.004859
[1118/5000][20/535][115251] Loss_D: -0.021687 Loss_G: -0.005954 Loss_D_real: -0.016344 Loss_D_fake 0.005343
[1118/5000][25/535][115252] Loss_D: -0.022052 Loss_G: 0.000998 Loss_D_real: -0.021135 Loss_D_fake 0.000917
[1118/5000][30/535][115253] Loss_D: -0.021518 Loss_G: 0.007040 Loss_D_real: -0.010098 Loss_D_fake 0.011419
[1118/5000][35/535][115254] Loss_D: -0.020396 Loss_G: 0.011775 Loss_D_real: -0.021533 Loss_D_fake -0.001137
[1118/5000][40/535][115255] Loss_D: -0.021713 Loss_G: 0.014932 Loss_D_real: -0.023591 Loss_D_fake -0.001877
[1118/5000][45/535][115256] Loss_D: -0.022269 Loss_G: -0.011279 Loss_D_real: -0.008886 Loss_D_fake 0.013383
[1118/5000][50/535][115257] Loss_D: -0.020431 Loss_G: -0.006038 Loss_D_real: -0.005734 Loss_D_fake 0.014698
[1118/5000][55/535][115258] Loss_D: -0.020561 Loss_G: 0.017665 Loss_D_real: -0.031953 Loss_D_fake -0.011391
[1118/5000][60/535][115259] Loss_D: -0.021132 Loss_G: 0.007881 Loss_D_real: -0.021591 Loss_D_fake -0.000459
[1118/5000][65/535][115260] Loss_D: -0.021028 Loss_G: -0.018476 Loss_D_real: -0.002373 Loss_D_fake 0.018655
[1118/5000][70/535][115261] Loss_D: -0.020440 Loss_G: 0.009176 Loss_D_real: -0.008608 Loss_D_fake 0.011832
[1118/5000][75/535][115262] Loss_D: -0.020802 Loss_G: 0.000717 Loss_D_real: -0.001694 Loss_D_fake 0.019108
[1118/5000][80/535][115263] Loss_D: -0.020909 Loss_G: -0.006503 Loss_D_real: -0.005357 Loss_D_fake 0.015552
[1118/5000][85/535][115264] Loss_D: -0.020997 Loss_G: 0.014518 Loss_D_real: -0.021854 Loss_D_fake -0.000857
[1118/5000][90/535][115265] Loss_D: -0.021224 Loss_G: 0.013334 Loss_D_real: -0.016508 Loss_D_fake 0.004715
[1118/5000][95/535][115266] Loss_D: -0.021680 Loss_G: 0.003421 Loss_D_real: 0.000385 Loss_D_fake 0.022065
[1118/5000][100/535][115267] Loss_D: -0.021242 Loss_G: 0.009290 Loss_D_real: -0.019255 Loss_D_fake 0.001987
[1118/5000][105/535][115268] Loss_D: -0.019718 Loss_G: -0.004715 Loss_D_real: -0.018891 Loss_D_fake 0.000827
[1118/5000][110/535][115269] Loss_D: -0.020405 Loss_G: 0.035448 Loss_D_real: -0.028023 Loss_D_fake -0.007618
[1118/5000][115/535][115270] Loss_D: -0.020608 Loss_G: -0.001342 Loss_D_real: -0.010032 Loss_D_fake 0.010576
[1118/5000][120/535][115271] Loss_D: -0.022095 Loss_G: -0.007043 Loss_D_real: -0.006901 Loss_D_fake 0.015195
[1118/5000][125/535][115272] Loss_D: -0.021277 Loss_G: 0.005512 Loss_D_real: -0.007085 Loss_D_fake 0.014193
[1118/5000][130/535][115273] Loss_D: -0.021647 Loss_G: 0.008799 Loss_D_real: -0.024827 Loss_D_fake -0.003180
[1118/5000][135/535][115274] Loss_D: -0.021149 Loss_G: 0.009528 Loss_D_real: -0.020693 Loss_D_fake 0.000457
[1118/5000][140/535][115275] Loss_D: -0.020390 Loss_G: 0.018977 Loss_D_real: -0.017775 Loss_D_fake 0.002614
[1118/5000][145/535][115276] Loss_D: -0.020971 Loss_G: 0.011694 Loss_D_real: -0.011303 Loss_D_fake 0.009668
[1118/5000][150/535][115277] Loss_D: -0.020876 Loss_G: 0.008843 Loss_D_real: -0.021204 Loss_D_fake -0.000329
[1118/5000][155/535][115278] Loss_D: -0.021447 Loss_G: 0.000478 Loss_D_real: -0.007181 Loss_D_fake 0.014267
[1118/5000][160/535][115279] Loss_D: -0.020775 Loss_G: -0.007978 Loss_D_real: -0.008090 Loss_D_fake 0.012685
[1118/5000][165/535][115280] Loss_D: -0.021617 Loss_G: 0.000803 Loss_D_real: -0.016156 Loss_D_fake 0.005461
[1118/5000][170/535][115281] Loss_D: -0.020455 Loss_G: 0.011015 Loss_D_real: -0.027955 Loss_D_fake -0.007500
[1118/5000][175/535][115282] Loss_D: -0.021776 Loss_G: 0.007382 Loss_D_real: -0.031129 Loss_D_fake -0.009353
[1118/5000][180/535][115283] Loss_D: -0.021333 Loss_G: 0.015984 Loss_D_real: -0.019758 Loss_D_fake 0.001575
[1118/5000][185/535][115284] Loss_D: -0.020994 Loss_G: 0.008927 Loss_D_real: -0.013646 Loss_D_fake 0.007348
[1118/5000][190/535][115285] Loss_D: -0.021119 Loss_G: -0.004083 Loss_D_real: 0.003997 Loss_D_fake 0.025115
[1118/5000][195/535][115286] Loss_D: -0.021884 Loss_G: 0.010533 Loss_D_real: -0.020464 Loss_D_fake 0.001420
[1118/5000][200/535][115287] Loss_D: -0.019782 Loss_G: -0.019018 Loss_D_real: 0.005153 Loss_D_fake 0.024935
[1118/5000][205/535][115288] Loss_D: -0.021661 Loss_G: 0.012332 Loss_D_real: -0.015160 Loss_D_fake 0.006501
[1118/5000][210/535][115289] Loss_D: -0.021975 Loss_G: 0.005968 Loss_D_real: -0.020113 Loss_D_fake 0.001862
[1118/5000][215/535][115290] Loss_D: -0.021485 Loss_G: 0.022825 Loss_D_real: -0.026430 Loss_D_fake -0.004945
[1118/5000][220/535][115291] Loss_D: -0.021421 Loss_G: -0.009547 Loss_D_real: 0.000154 Loss_D_fake 0.021574
[1118/5000][225/535][115292] Loss_D: -0.021613 Loss_G: 0.034679 Loss_D_real: -0.030030 Loss_D_fake -0.008416
[1118/5000][230/535][115293] Loss_D: -0.020885 Loss_G: -0.001708 Loss_D_real: -0.017994 Loss_D_fake 0.002892
[1118/5000][235/535][115294] Loss_D: -0.020870 Loss_G: 0.007788 Loss_D_real: -0.015196 Loss_D_fake 0.005674
[1118/5000][240/535][115295] Loss_D: -0.021165 Loss_G: 0.002994 Loss_D_real: -0.022372 Loss_D_fake -0.001208
[1118/5000][245/535][115296] Loss_D: -0.021392 Loss_G: 0.029595 Loss_D_real: -0.018833 Loss_D_fake 0.002559
[1118/5000][250/535][115297] Loss_D: -0.020401 Loss_G: 0.012332 Loss_D_real: -0.021455 Loss_D_fake -0.001054
[1118/5000][255/535][115298] Loss_D: -0.022479 Loss_G: 0.003500 Loss_D_real: -0.025785 Loss_D_fake -0.003306
[1118/5000][260/535][115299] Loss_D: -0.020274 Loss_G: 0.013785 Loss_D_real: -0.024796 Loss_D_fake -0.004522
[1118/5000][265/535][115300] Loss_D: -0.020580 Loss_G: 0.029910 Loss_D_real: -0.027985 Loss_D_fake -0.007405
[1118/5000][270/535][115301] Loss_D: -0.020712 Loss_G: 0.015413 Loss_D_real: -0.026147 Loss_D_fake -0.005435
[1118/5000][275/535][115302] Loss_D: -0.021476 Loss_G: 0.012785 Loss_D_real: -0.013057 Loss_D_fake 0.008419
[1118/5000][280/535][115303] Loss_D: -0.022357 Loss_G: 0.004726 Loss_D_real: -0.022550 Loss_D_fake -0.000193
[1118/5000][285/535][115304] Loss_D: -0.021734 Loss_G: -0.008021 Loss_D_real: -0.013787 Loss_D_fake 0.007946
[1118/5000][290/535][115305] Loss_D: -0.021505 Loss_G: 0.008963 Loss_D_real: -0.018757 Loss_D_fake 0.002748
[1118/5000][295/535][115306] Loss_D: -0.020764 Loss_G: 0.008256 Loss_D_real: -0.025311 Loss_D_fake -0.004547
[1118/5000][300/535][115307] Loss_D: -0.021210 Loss_G: 0.010786 Loss_D_real: -0.031054 Loss_D_fake -0.009844
[1118/5000][305/535][115308] Loss_D: -0.021941 Loss_G: -0.008222 Loss_D_real: -0.005677 Loss_D_fake 0.016264
[1118/5000][310/535][115309] Loss_D: -0.020963 Loss_G: 0.017256 Loss_D_real: -0.030062 Loss_D_fake -0.009098
[1118/5000][315/535][115310] Loss_D: -0.022667 Loss_G: 0.015603 Loss_D_real: -0.017893 Loss_D_fake 0.004774
[1118/5000][320/535][115311] Loss_D: -0.021506 Loss_G: -0.007069 Loss_D_real: -0.005981 Loss_D_fake 0.015525
[1118/5000][325/535][115312] Loss_D: -0.022406 Loss_G: 0.003789 Loss_D_real: -0.010064 Loss_D_fake 0.012342
[1118/5000][330/535][115313] Loss_D: -0.018936 Loss_G: -0.006109 Loss_D_real: -0.012429 Loss_D_fake 0.006507
[1118/5000][335/535][115314] Loss_D: -0.020551 Loss_G: 0.020322 Loss_D_real: -0.022271 Loss_D_fake -0.001720
[1118/5000][340/535][115315] Loss_D: -0.020906 Loss_G: -0.002954 Loss_D_real: -0.019233 Loss_D_fake 0.001673
[1118/5000][345/535][115316] Loss_D: -0.020879 Loss_G: 0.006377 Loss_D_real: -0.023391 Loss_D_fake -0.002511
[1118/5000][350/535][115317] Loss_D: -0.020690 Loss_G: 0.009990 Loss_D_real: -0.011803 Loss_D_fake 0.008886
[1118/5000][355/535][115318] Loss_D: -0.020349 Loss_G: -0.008816 Loss_D_real: -0.010210 Loss_D_fake 0.010139
[1118/5000][360/535][115319] Loss_D: -0.021488 Loss_G: 0.012357 Loss_D_real: -0.019768 Loss_D_fake 0.001721
[1118/5000][365/535][115320] Loss_D: -0.020770 Loss_G: -0.015148 Loss_D_real: 0.002555 Loss_D_fake 0.023325
[1118/5000][370/535][115321] Loss_D: -0.020990 Loss_G: 0.027131 Loss_D_real: -0.025788 Loss_D_fake -0.004798
[1118/5000][375/535][115322] Loss_D: -0.022173 Loss_G: -0.004672 Loss_D_real: -0.003726 Loss_D_fake 0.018447
[1118/5000][380/535][115323] Loss_D: -0.020752 Loss_G: 0.007889 Loss_D_real: -0.012067 Loss_D_fake 0.008685
[1118/5000][385/535][115324] Loss_D: -0.021701 Loss_G: 0.004167 Loss_D_real: -0.020215 Loss_D_fake 0.001486
[1118/5000][390/535][115325] Loss_D: -0.021032 Loss_G: 0.011888 Loss_D_real: -0.015755 Loss_D_fake 0.005277
[1118/5000][395/535][115326] Loss_D: -0.020527 Loss_G: -0.001651 Loss_D_real: -0.010261 Loss_D_fake 0.010266
[1118/5000][400/535][115327] Loss_D: -0.021257 Loss_G: 0.009020 Loss_D_real: -0.015866 Loss_D_fake 0.005391
[1118/5000][405/535][115328] Loss_D: -0.020899 Loss_G: 0.004227 Loss_D_real: -0.021364 Loss_D_fake -0.000465
[1118/5000][410/535][115329] Loss_D: -0.020940 Loss_G: 0.002366 Loss_D_real: -0.021513 Loss_D_fake -0.000572
[1118/5000][415/535][115330] Loss_D: -0.020725 Loss_G: -0.000123 Loss_D_real: -0.008756 Loss_D_fake 0.011969
[1118/5000][420/535][115331] Loss_D: -0.020908 Loss_G: 0.019271 Loss_D_real: -0.025345 Loss_D_fake -0.004437
[1118/5000][425/535][115332] Loss_D: -0.021672 Loss_G: -0.005304 Loss_D_real: -0.008393 Loss_D_fake 0.013279
[1118/5000][430/535][115333] Loss_D: -0.020144 Loss_G: -0.011061 Loss_D_real: 0.008695 Loss_D_fake 0.028839
[1118/5000][435/535][115334] Loss_D: -0.019752 Loss_G: 0.012476 Loss_D_real: -0.025400 Loss_D_fake -0.005648
[1118/5000][440/535][115335] Loss_D: -0.021043 Loss_G: 0.008946 Loss_D_real: -0.013658 Loss_D_fake 0.007384
[1118/5000][445/535][115336] Loss_D: -0.020908 Loss_G: 0.015207 Loss_D_real: -0.027324 Loss_D_fake -0.006415
[1118/5000][450/535][115337] Loss_D: -0.022386 Loss_G: 0.000238 Loss_D_real: -0.007541 Loss_D_fake 0.014845
[1118/5000][455/535][115338] Loss_D: -0.021308 Loss_G: -0.007767 Loss_D_real: -0.018584 Loss_D_fake 0.002724
[1118/5000][460/535][115339] Loss_D: -0.021925 Loss_G: 0.024621 Loss_D_real: -0.023455 Loss_D_fake -0.001530
[1118/5000][465/535][115340] Loss_D: -0.022304 Loss_G: 0.038675 Loss_D_real: -0.029188 Loss_D_fake -0.006884
[1118/5000][470/535][115341] Loss_D: -0.020940 Loss_G: 0.007724 Loss_D_real: -0.024071 Loss_D_fake -0.003132
[1118/5000][475/535][115342] Loss_D: -0.021337 Loss_G: 0.012824 Loss_D_real: -0.018476 Loss_D_fake 0.002861
[1118/5000][480/535][115343] Loss_D: -0.021460 Loss_G: -0.006087 Loss_D_real: -0.019508 Loss_D_fake 0.001953
[1118/5000][485/535][115344] Loss_D: -0.021810 Loss_G: 0.004708 Loss_D_real: -0.011039 Loss_D_fake 0.010772
[1118/5000][490/535][115345] Loss_D: -0.020896 Loss_G: -0.008162 Loss_D_real: -0.001039 Loss_D_fake 0.019857
[1118/5000][495/535][115346] Loss_D: -0.020906 Loss_G: 0.010243 Loss_D_real: -0.016257 Loss_D_fake 0.004649
[1118/5000][500/535][115347] Loss_D: -0.022401 Loss_G: 0.011847 Loss_D_real: -0.030055 Loss_D_fake -0.007654
[1118/5000][505/535][115348] Loss_D: -0.020894 Loss_G: 0.014021 Loss_D_real: -0.015809 Loss_D_fake 0.005085
[1118/5000][510/535][115349] Loss_D: -0.021115 Loss_G: 0.032174 Loss_D_real: -0.028985 Loss_D_fake -0.007869
[1118/5000][515/535][115350] Loss_D: -0.022418 Loss_G: 0.008158 Loss_D_real: -0.029615 Loss_D_fake -0.007197
[1118/5000][520/535][115351] Loss_D: -0.022164 Loss_G: -0.000458 Loss_D_real: -0.005609 Loss_D_fake 0.016555
[1118/5000][525/535][115352] Loss_D: -0.021741 Loss_G: 0.013434 Loss_D_real: -0.032125 Loss_D_fake -0.010385
[1118/5000][530/535][115353] Loss_D: -0.020090 Loss_G: -0.004294 Loss_D_real: -0.010572 Loss_D_fake 0.009518
[1118/5000][535/535][115354] Loss_D: -0.022670 Loss_G: -0.019624 Loss_D_real: -0.012345 Loss_D_fake 0.010325
[1119/5000][5/535][115355] Loss_D: -0.022916 Loss_G: 0.012850 Loss_D_real: -0.009903 Loss_D_fake 0.013013
[1119/5000][10/535][115356] Loss_D: -0.019931 Loss_G: 0.025736 Loss_D_real: -0.026815 Loss_D_fake -0.006884
[1119/5000][15/535][115357] Loss_D: -0.020293 Loss_G: -0.008438 Loss_D_real: -0.009995 Loss_D_fake 0.010298
[1119/5000][20/535][115358] Loss_D: -0.021204 Loss_G: -0.005459 Loss_D_real: -0.011088 Loss_D_fake 0.010116
[1119/5000][25/535][115359] Loss_D: -0.022658 Loss_G: 0.014134 Loss_D_real: -0.004246 Loss_D_fake 0.018412
[1119/5000][30/535][115360] Loss_D: -0.019864 Loss_G: 0.006042 Loss_D_real: -0.006588 Loss_D_fake 0.013276
[1119/5000][35/535][115361] Loss_D: -0.019311 Loss_G: -0.021357 Loss_D_real: 0.006352 Loss_D_fake 0.025663
[1119/5000][40/535][115362] Loss_D: -0.018936 Loss_G: 0.007349 Loss_D_real: -0.020414 Loss_D_fake -0.001478
[1119/5000][45/535][115363] Loss_D: -0.020169 Loss_G: 0.020488 Loss_D_real: -0.028765 Loss_D_fake -0.008596
[1119/5000][50/535][115364] Loss_D: -0.021169 Loss_G: -0.010697 Loss_D_real: -0.011253 Loss_D_fake 0.009917
[1119/5000][55/535][115365] Loss_D: -0.021153 Loss_G: -0.004370 Loss_D_real: -0.004753 Loss_D_fake 0.016400
[1119/5000][60/535][115366] Loss_D: -0.021958 Loss_G: 0.002700 Loss_D_real: -0.017607 Loss_D_fake 0.004350
[1119/5000][65/535][115367] Loss_D: -0.020851 Loss_G: 0.017206 Loss_D_real: -0.020079 Loss_D_fake 0.000772
[1119/5000][70/535][115368] Loss_D: -0.021509 Loss_G: 0.009301 Loss_D_real: -0.022211 Loss_D_fake -0.000702
[1119/5000][75/535][115369] Loss_D: -0.022927 Loss_G: 0.015940 Loss_D_real: -0.011798 Loss_D_fake 0.011129
[1119/5000][80/535][115370] Loss_D: -0.020490 Loss_G: 0.003994 Loss_D_real: -0.030232 Loss_D_fake -0.009742
[1119/5000][85/535][115371] Loss_D: -0.021589 Loss_G: 0.002236 Loss_D_real: -0.013712 Loss_D_fake 0.007877
[1119/5000][90/535][115372] Loss_D: -0.021747 Loss_G: -0.005448 Loss_D_real: -0.018036 Loss_D_fake 0.003711
[1119/5000][95/535][115373] Loss_D: -0.020892 Loss_G: -0.006228 Loss_D_real: 0.000611 Loss_D_fake 0.021503
[1119/5000][100/535][115374] Loss_D: -0.021428 Loss_G: -0.001321 Loss_D_real: -0.007888 Loss_D_fake 0.013539
[1119/5000][105/535][115375] Loss_D: -0.022800 Loss_G: 0.023413 Loss_D_real: -0.022453 Loss_D_fake 0.000347
[1119/5000][110/535][115376] Loss_D: -0.021816 Loss_G: 0.013216 Loss_D_real: -0.029113 Loss_D_fake -0.007297
[1119/5000][115/535][115377] Loss_D: -0.023445 Loss_G: 0.015842 Loss_D_real: -0.019825 Loss_D_fake 0.003620
[1119/5000][120/535][115378] Loss_D: -0.022681 Loss_G: 0.006189 Loss_D_real: -0.014617 Loss_D_fake 0.008065
[1119/5000][125/535][115379] Loss_D: -0.022728 Loss_G: 0.009893 Loss_D_real: -0.028942 Loss_D_fake -0.006214
[1119/5000][130/535][115380] Loss_D: -0.020675 Loss_G: 0.010642 Loss_D_real: -0.020874 Loss_D_fake -0.000199
[1119/5000][135/535][115381] Loss_D: -0.022348 Loss_G: 0.007692 Loss_D_real: -0.017173 Loss_D_fake 0.005176
[1119/5000][140/535][115382] Loss_D: -0.022448 Loss_G: 0.016532 Loss_D_real: -0.016210 Loss_D_fake 0.006239
[1119/5000][145/535][115383] Loss_D: -0.021067 Loss_G: -0.012640 Loss_D_real: -0.003798 Loss_D_fake 0.017269
[1119/5000][150/535][115384] Loss_D: -0.019773 Loss_G: 0.028921 Loss_D_real: -0.032903 Loss_D_fake -0.013130
[1119/5000][155/535][115385] Loss_D: -0.022330 Loss_G: 0.006612 Loss_D_real: -0.025802 Loss_D_fake -0.003472
[1119/5000][160/535][115386] Loss_D: -0.022672 Loss_G: -0.004190 Loss_D_real: -0.008574 Loss_D_fake 0.014098
[1119/5000][165/535][115387] Loss_D: -0.020339 Loss_G: -0.003500 Loss_D_real: -0.017536 Loss_D_fake 0.002803
[1119/5000][170/535][115388] Loss_D: -0.022460 Loss_G: 0.021975 Loss_D_real: -0.018490 Loss_D_fake 0.003970
[1119/5000][175/535][115389] Loss_D: -0.022505 Loss_G: 0.003805 Loss_D_real: -0.007784 Loss_D_fake 0.014721
[1119/5000][180/535][115390] Loss_D: -0.021270 Loss_G: 0.008147 Loss_D_real: -0.012730 Loss_D_fake 0.008540
[1119/5000][185/535][115391] Loss_D: -0.021856 Loss_G: 0.001523 Loss_D_real: -0.019165 Loss_D_fake 0.002690
[1119/5000][190/535][115392] Loss_D: -0.019792 Loss_G: -0.012867 Loss_D_real: 0.002075 Loss_D_fake 0.021867
[1119/5000][195/535][115393] Loss_D: -0.021304 Loss_G: 0.017398 Loss_D_real: -0.025923 Loss_D_fake -0.004619
[1119/5000][200/535][115394] Loss_D: -0.021313 Loss_G: -0.010020 Loss_D_real: -0.007425 Loss_D_fake 0.013887
[1119/5000][205/535][115395] Loss_D: -0.022101 Loss_G: 0.018976 Loss_D_real: -0.019586 Loss_D_fake 0.002515
[1119/5000][210/535][115396] Loss_D: -0.019564 Loss_G: 0.027131 Loss_D_real: -0.036053 Loss_D_fake -0.016489
[1119/5000][215/535][115397] Loss_D: -0.020295 Loss_G: -0.001439 Loss_D_real: -0.014346 Loss_D_fake 0.005949
[1119/5000][220/535][115398] Loss_D: -0.021567 Loss_G: 0.011198 Loss_D_real: -0.022041 Loss_D_fake -0.000474
[1119/5000][225/535][115399] Loss_D: -0.022726 Loss_G: 0.002241 Loss_D_real: -0.025477 Loss_D_fake -0.002751
[1119/5000][230/535][115400] Loss_D: -0.021532 Loss_G: -0.002927 Loss_D_real: -0.013904 Loss_D_fake 0.007628
[1119/5000][235/535][115401] Loss_D: -0.023021 Loss_G: 0.013139 Loss_D_real: -0.020478 Loss_D_fake 0.002543
[1119/5000][240/535][115402] Loss_D: -0.021134 Loss_G: -0.004678 Loss_D_real: -0.018301 Loss_D_fake 0.002833
[1119/5000][245/535][115403] Loss_D: -0.021103 Loss_G: 0.007318 Loss_D_real: -0.020209 Loss_D_fake 0.000894
[1119/5000][250/535][115404] Loss_D: -0.021454 Loss_G: 0.021911 Loss_D_real: -0.024696 Loss_D_fake -0.003242
[1119/5000][255/535][115405] Loss_D: -0.022468 Loss_G: 0.005921 Loss_D_real: -0.008725 Loss_D_fake 0.013743
[1119/5000][260/535][115406] Loss_D: -0.021293 Loss_G: 0.005790 Loss_D_real: -0.010140 Loss_D_fake 0.011154
[1119/5000][265/535][115407] Loss_D: -0.021210 Loss_G: -0.001779 Loss_D_real: -0.001329 Loss_D_fake 0.019881
[1119/5000][270/535][115408] Loss_D: -0.022323 Loss_G: -0.019505 Loss_D_real: -0.011760 Loss_D_fake 0.010563
[1119/5000][275/535][115409] Loss_D: -0.021746 Loss_G: 0.024544 Loss_D_real: -0.022558 Loss_D_fake -0.000812
[1119/5000][280/535][115410] Loss_D: -0.020644 Loss_G: -0.012481 Loss_D_real: -0.011992 Loss_D_fake 0.008651
[1119/5000][285/535][115411] Loss_D: -0.021137 Loss_G: 0.017738 Loss_D_real: -0.032788 Loss_D_fake -0.011652
[1119/5000][290/535][115412] Loss_D: -0.022082 Loss_G: 0.036367 Loss_D_real: -0.023365 Loss_D_fake -0.001283
[1119/5000][295/535][115413] Loss_D: -0.022251 Loss_G: 0.013083 Loss_D_real: -0.028235 Loss_D_fake -0.005984
[1119/5000][300/535][115414] Loss_D: -0.022955 Loss_G: 0.001377 Loss_D_real: -0.018833 Loss_D_fake 0.004122
[1119/5000][305/535][115415] Loss_D: -0.021079 Loss_G: 0.012057 Loss_D_real: -0.023494 Loss_D_fake -0.002415
[1119/5000][310/535][115416] Loss_D: -0.020158 Loss_G: -0.009008 Loss_D_real: -0.001049 Loss_D_fake 0.019109
[1119/5000][315/535][115417] Loss_D: -0.021022 Loss_G: -0.003698 Loss_D_real: -0.007992 Loss_D_fake 0.013030
[1119/5000][320/535][115418] Loss_D: -0.020924 Loss_G: 0.024722 Loss_D_real: -0.024636 Loss_D_fake -0.003712
[1119/5000][325/535][115419] Loss_D: -0.021333 Loss_G: -0.003601 Loss_D_real: -0.007141 Loss_D_fake 0.014192
[1119/5000][330/535][115420] Loss_D: -0.021868 Loss_G: 0.029178 Loss_D_real: -0.020475 Loss_D_fake 0.001393
[1119/5000][335/535][115421] Loss_D: -0.021634 Loss_G: 0.022480 Loss_D_real: -0.020982 Loss_D_fake 0.000652
[1119/5000][340/535][115422] Loss_D: -0.021582 Loss_G: 0.022297 Loss_D_real: -0.028970 Loss_D_fake -0.007388
[1119/5000][345/535][115423] Loss_D: -0.023426 Loss_G: -0.007429 Loss_D_real: -0.011716 Loss_D_fake 0.011710
[1119/5000][350/535][115424] Loss_D: -0.020469 Loss_G: 0.005641 Loss_D_real: -0.033509 Loss_D_fake -0.013039
[1119/5000][355/535][115425] Loss_D: -0.021719 Loss_G: -0.002082 Loss_D_real: -0.020479 Loss_D_fake 0.001239
[1119/5000][360/535][115426] Loss_D: -0.021382 Loss_G: 0.020085 Loss_D_real: -0.027501 Loss_D_fake -0.006119
[1119/5000][365/535][115427] Loss_D: -0.018581 Loss_G: 0.007926 Loss_D_real: -0.026151 Loss_D_fake -0.007571
[1119/5000][370/535][115428] Loss_D: -0.020753 Loss_G: 0.011255 Loss_D_real: -0.015038 Loss_D_fake 0.005715
[1119/5000][375/535][115429] Loss_D: -0.019598 Loss_G: 0.002918 Loss_D_real: -0.018143 Loss_D_fake 0.001455
[1119/5000][380/535][115430] Loss_D: -0.021071 Loss_G: 0.003614 Loss_D_real: -0.016885 Loss_D_fake 0.004186
[1119/5000][385/535][115431] Loss_D: -0.020678 Loss_G: 0.000717 Loss_D_real: -0.003564 Loss_D_fake 0.017114
[1119/5000][390/535][115432] Loss_D: -0.021134 Loss_G: 0.009724 Loss_D_real: -0.024265 Loss_D_fake -0.003131
[1119/5000][395/535][115433] Loss_D: -0.021547 Loss_G: -0.013687 Loss_D_real: -0.015901 Loss_D_fake 0.005646
[1119/5000][400/535][115434] Loss_D: -0.020626 Loss_G: 0.004695 Loss_D_real: -0.003097 Loss_D_fake 0.017529
[1119/5000][405/535][115435] Loss_D: -0.021058 Loss_G: 0.003579 Loss_D_real: 0.001863 Loss_D_fake 0.022922
[1119/5000][410/535][115436] Loss_D: -0.022112 Loss_G: -0.001254 Loss_D_real: 0.000060 Loss_D_fake 0.022172
[1119/5000][415/535][115437] Loss_D: -0.020615 Loss_G: -0.012339 Loss_D_real: -0.008440 Loss_D_fake 0.012175
[1119/5000][420/535][115438] Loss_D: -0.020987 Loss_G: 0.018693 Loss_D_real: -0.028610 Loss_D_fake -0.007622
[1119/5000][425/535][115439] Loss_D: -0.021948 Loss_G: 0.015586 Loss_D_real: -0.010367 Loss_D_fake 0.011581
[1119/5000][430/535][115440] Loss_D: -0.019768 Loss_G: -0.001176 Loss_D_real: -0.013286 Loss_D_fake 0.006482
[1119/5000][435/535][115441] Loss_D: -0.020541 Loss_G: -0.006941 Loss_D_real: 0.001753 Loss_D_fake 0.022294
[1119/5000][440/535][115442] Loss_D: -0.021485 Loss_G: 0.015602 Loss_D_real: -0.025324 Loss_D_fake -0.003839
[1119/5000][445/535][115443] Loss_D: -0.021090 Loss_G: 0.000817 Loss_D_real: -0.014995 Loss_D_fake 0.006096
[1119/5000][450/535][115444] Loss_D: -0.021615 Loss_G: 0.029269 Loss_D_real: -0.028048 Loss_D_fake -0.006433
[1119/5000][455/535][115445] Loss_D: -0.023022 Loss_G: -0.015834 Loss_D_real: -0.008261 Loss_D_fake 0.014761
[1119/5000][460/535][115446] Loss_D: -0.021842 Loss_G: 0.014040 Loss_D_real: -0.017576 Loss_D_fake 0.004266
[1119/5000][465/535][115447] Loss_D: -0.021174 Loss_G: 0.008748 Loss_D_real: -0.022861 Loss_D_fake -0.001687
[1119/5000][470/535][115448] Loss_D: -0.021500 Loss_G: 0.002913 Loss_D_real: -0.016493 Loss_D_fake 0.005007
[1119/5000][475/535][115449] Loss_D: -0.021560 Loss_G: 0.024935 Loss_D_real: -0.022790 Loss_D_fake -0.001230
[1119/5000][480/535][115450] Loss_D: -0.021351 Loss_G: 0.004403 Loss_D_real: -0.005467 Loss_D_fake 0.015885
[1119/5000][485/535][115451] Loss_D: -0.021309 Loss_G: 0.022788 Loss_D_real: -0.026156 Loss_D_fake -0.004847
[1119/5000][490/535][115452] Loss_D: -0.021100 Loss_G: 0.015708 Loss_D_real: -0.016599 Loss_D_fake 0.004500
[1119/5000][495/535][115453] Loss_D: -0.020576 Loss_G: -0.012036 Loss_D_real: -0.021022 Loss_D_fake -0.000446
[1119/5000][500/535][115454] Loss_D: -0.020820 Loss_G: -0.000256 Loss_D_real: -0.010095 Loss_D_fake 0.010724
[1119/5000][505/535][115455] Loss_D: -0.020764 Loss_G: 0.021104 Loss_D_real: -0.019394 Loss_D_fake 0.001371
[1119/5000][510/535][115456] Loss_D: -0.021180 Loss_G: 0.003316 Loss_D_real: -0.016317 Loss_D_fake 0.004863
[1119/5000][515/535][115457] Loss_D: -0.019173 Loss_G: -0.000257 Loss_D_real: -0.022617 Loss_D_fake -0.003443
[1119/5000][520/535][115458] Loss_D: -0.020658 Loss_G: -0.008113 Loss_D_real: -0.020645 Loss_D_fake 0.000013
[1119/5000][525/535][115459] Loss_D: -0.022430 Loss_G: 0.019705 Loss_D_real: -0.006712 Loss_D_fake 0.015718
[1119/5000][530/535][115460] Loss_D: -0.021188 Loss_G: -0.006999 Loss_D_real: -0.000988 Loss_D_fake 0.020200
[1119/5000][535/535][115461] Loss_D: -0.022301 Loss_G: -0.018474 Loss_D_real: -0.024090 Loss_D_fake -0.001789
[1120/5000][5/535][115462] Loss_D: -0.019243 Loss_G: 0.002055 Loss_D_real: -0.007782 Loss_D_fake 0.011462
[1120/5000][10/535][115463] Loss_D: -0.020358 Loss_G: -0.006961 Loss_D_real: -0.008712 Loss_D_fake 0.011646
[1120/5000][15/535][115464] Loss_D: -0.021319 Loss_G: -0.011260 Loss_D_real: -0.001217 Loss_D_fake 0.020102
[1120/5000][20/535][115465] Loss_D: -0.020455 Loss_G: -0.008686 Loss_D_real: -0.002985 Loss_D_fake 0.017470
[1120/5000][25/535][115466] Loss_D: -0.022173 Loss_G: 0.019914 Loss_D_real: -0.020602 Loss_D_fake 0.001571
[1120/5000][30/535][115467] Loss_D: -0.020174 Loss_G: 0.022108 Loss_D_real: -0.018583 Loss_D_fake 0.001591
[1120/5000][35/535][115468] Loss_D: -0.023258 Loss_G: -0.003070 Loss_D_real: -0.010503 Loss_D_fake 0.012755
[1120/5000][40/535][115469] Loss_D: -0.021915 Loss_G: 0.004096 Loss_D_real: -0.015704 Loss_D_fake 0.006211
[1120/5000][45/535][115470] Loss_D: -0.021829 Loss_G: -0.013318 Loss_D_real: -0.005385 Loss_D_fake 0.016444
[1120/5000][50/535][115471] Loss_D: -0.021103 Loss_G: 0.013482 Loss_D_real: -0.021280 Loss_D_fake -0.000176
[1120/5000][55/535][115472] Loss_D: -0.020744 Loss_G: 0.015284 Loss_D_real: -0.014327 Loss_D_fake 0.006416
[1120/5000][60/535][115473] Loss_D: -0.020599 Loss_G: 0.007470 Loss_D_real: -0.024152 Loss_D_fake -0.003553
[1120/5000][65/535][115474] Loss_D: -0.022696 Loss_G: 0.009954 Loss_D_real: -0.021976 Loss_D_fake 0.000720
[1120/5000][70/535][115475] Loss_D: -0.023174 Loss_G: -0.003523 Loss_D_real: -0.008725 Loss_D_fake 0.014449
[1120/5000][75/535][115476] Loss_D: -0.020066 Loss_G: -0.010810 Loss_D_real: -0.004287 Loss_D_fake 0.015779
[1120/5000][80/535][115477] Loss_D: -0.021491 Loss_G: 0.018276 Loss_D_real: -0.021138 Loss_D_fake 0.000353
[1120/5000][85/535][115478] Loss_D: -0.021351 Loss_G: 0.023283 Loss_D_real: -0.020079 Loss_D_fake 0.001272
[1120/5000][90/535][115479] Loss_D: -0.018540 Loss_G: 0.028620 Loss_D_real: -0.035063 Loss_D_fake -0.016523
[1120/5000][95/535][115480] Loss_D: -0.020949 Loss_G: 0.013132 Loss_D_real: -0.029112 Loss_D_fake -0.008163
[1120/5000][100/535][115481] Loss_D: -0.020696 Loss_G: -0.014008 Loss_D_real: -0.009574 Loss_D_fake 0.011122
[1120/5000][105/535][115482] Loss_D: -0.020951 Loss_G: 0.007069 Loss_D_real: -0.014253 Loss_D_fake 0.006698
[1120/5000][110/535][115483] Loss_D: -0.021966 Loss_G: 0.010194 Loss_D_real: -0.010400 Loss_D_fake 0.011566
[1120/5000][115/535][115484] Loss_D: -0.021504 Loss_G: 0.000351 Loss_D_real: -0.013356 Loss_D_fake 0.008148
[1120/5000][120/535][115485] Loss_D: -0.020753 Loss_G: 0.027704 Loss_D_real: -0.027503 Loss_D_fake -0.006751
[1120/5000][125/535][115486] Loss_D: -0.019249 Loss_G: -0.006940 Loss_D_real: -0.001439 Loss_D_fake 0.017810
[1120/5000][130/535][115487] Loss_D: -0.021490 Loss_G: -0.005345 Loss_D_real: -0.018598 Loss_D_fake 0.002891
[1120/5000][135/535][115488] Loss_D: -0.019248 Loss_G: 0.018342 Loss_D_real: -0.021148 Loss_D_fake -0.001900
[1120/5000][140/535][115489] Loss_D: -0.021030 Loss_G: 0.003748 Loss_D_real: -0.013466 Loss_D_fake 0.007564
[1120/5000][145/535][115490] Loss_D: -0.021789 Loss_G: 0.009925 Loss_D_real: -0.026822 Loss_D_fake -0.005033
[1120/5000][150/535][115491] Loss_D: -0.021464 Loss_G: 0.022596 Loss_D_real: -0.026536 Loss_D_fake -0.005072
[1120/5000][155/535][115492] Loss_D: -0.020644 Loss_G: 0.017463 Loss_D_real: -0.027361 Loss_D_fake -0.006717
[1120/5000][160/535][115493] Loss_D: -0.020978 Loss_G: 0.008488 Loss_D_real: -0.019352 Loss_D_fake 0.001626
[1120/5000][165/535][115494] Loss_D: -0.021895 Loss_G: 0.001159 Loss_D_real: -0.025746 Loss_D_fake -0.003851
[1120/5000][170/535][115495] Loss_D: -0.021198 Loss_G: 0.002909 Loss_D_real: -0.024860 Loss_D_fake -0.003663
[1120/5000][175/535][115496] Loss_D: -0.021045 Loss_G: -0.000522 Loss_D_real: 0.000753 Loss_D_fake 0.021798
[1120/5000][180/535][115497] Loss_D: -0.020144 Loss_G: 0.011868 Loss_D_real: -0.019201 Loss_D_fake 0.000942
[1120/5000][185/535][115498] Loss_D: -0.020683 Loss_G: -0.009002 Loss_D_real: -0.019747 Loss_D_fake 0.000936
[1120/5000][190/535][115499] Loss_D: -0.022168 Loss_G: 0.024555 Loss_D_real: -0.009075 Loss_D_fake 0.013093
[1120/5000][195/535][115500] Loss_D: -0.021328 Loss_G: -0.000214 Loss_D_real: -0.012379 Loss_D_fake 0.008949
[1120/5000][295/535][115501] Loss_D: -0.023177 Loss_G: -0.009017 Loss_D_real: 0.001518 Loss_D_fake 0.024695
[1120/5000][300/535][115502] Loss_D: -0.016405 Loss_G: 0.004816 Loss_D_real: -0.017324 Loss_D_fake -0.000919
[1120/5000][305/535][115503] Loss_D: -0.020809 Loss_G: 0.007715 Loss_D_real: -0.013020 Loss_D_fake 0.007789
[1120/5000][310/535][115504] Loss_D: -0.020673 Loss_G: -0.000341 Loss_D_real: -0.010683 Loss_D_fake 0.009989
[1120/5000][315/535][115505] Loss_D: -0.020225 Loss_G: -0.000351 Loss_D_real: -0.009214 Loss_D_fake 0.011011
[1120/5000][320/535][115506] Loss_D: -0.020624 Loss_G: 0.005584 Loss_D_real: -0.022545 Loss_D_fake -0.001921
[1120/5000][325/535][115507] Loss_D: -0.021360 Loss_G: 0.019974 Loss_D_real: -0.019373 Loss_D_fake 0.001986
[1120/5000][330/535][115508] Loss_D: -0.019897 Loss_G: 0.012804 Loss_D_real: -0.025501 Loss_D_fake -0.005603
[1120/5000][335/535][115509] Loss_D: -0.020238 Loss_G: 0.001640 Loss_D_real: -0.021425 Loss_D_fake -0.001187
[1120/5000][340/535][115510] Loss_D: -0.021398 Loss_G: 0.001854 Loss_D_real: -0.009723 Loss_D_fake 0.011675
[1120/5000][345/535][115511] Loss_D: -0.020352 Loss_G: 0.005874 Loss_D_real: -0.024716 Loss_D_fake -0.004364
[1120/5000][350/535][115512] Loss_D: -0.021046 Loss_G: -0.007403 Loss_D_real: -0.002463 Loss_D_fake 0.018583
[1120/5000][355/535][115513] Loss_D: -0.020848 Loss_G: 0.006050 Loss_D_real: -0.006344 Loss_D_fake 0.014504
[1120/5000][360/535][115514] Loss_D: -0.018924 Loss_G: -0.015025 Loss_D_real: -0.006275 Loss_D_fake 0.012648
[1120/5000][365/535][115515] Loss_D: -0.021126 Loss_G: 0.020613 Loss_D_real: -0.026310 Loss_D_fake -0.005184
[1120/5000][370/535][115516] Loss_D: -0.020881 Loss_G: -0.007022 Loss_D_real: -0.013686 Loss_D_fake 0.007195
[1120/5000][375/535][115517] Loss_D: -0.021281 Loss_G: 0.007547 Loss_D_real: -0.023997 Loss_D_fake -0.002716
[1120/5000][380/535][115518] Loss_D: -0.019025 Loss_G: 0.024598 Loss_D_real: -0.034998 Loss_D_fake -0.015973
[1120/5000][385/535][115519] Loss_D: -0.020785 Loss_G: -0.003993 Loss_D_real: -0.009526 Loss_D_fake 0.011259
[1120/5000][390/535][115520] Loss_D: -0.020869 Loss_G: 0.001125 Loss_D_real: -0.015743 Loss_D_fake 0.005126
[1120/5000][395/535][115521] Loss_D: -0.020460 Loss_G: 0.015599 Loss_D_real: -0.021007 Loss_D_fake -0.000546
[1120/5000][400/535][115522] Loss_D: -0.021065 Loss_G: 0.008774 Loss_D_real: -0.016734 Loss_D_fake 0.004331
[1120/5000][405/535][115523] Loss_D: -0.021109 Loss_G: 0.006011 Loss_D_real: -0.024302 Loss_D_fake -0.003193
[1120/5000][410/535][115524] Loss_D: -0.021556 Loss_G: 0.019099 Loss_D_real: -0.020748 Loss_D_fake 0.000808
[1120/5000][415/535][115525] Loss_D: -0.022183 Loss_G: 0.017236 Loss_D_real: -0.033142 Loss_D_fake -0.010960
[1120/5000][420/535][115526] Loss_D: -0.020936 Loss_G: 0.016352 Loss_D_real: -0.022510 Loss_D_fake -0.001574
[1120/5000][425/535][115527] Loss_D: -0.021091 Loss_G: -0.005851 Loss_D_real: -0.006351 Loss_D_fake 0.014740
[1120/5000][430/535][115528] Loss_D: -0.018970 Loss_G: 0.019703 Loss_D_real: -0.036731 Loss_D_fake -0.017761
[1120/5000][435/535][115529] Loss_D: -0.020864 Loss_G: -0.000165 Loss_D_real: -0.016187 Loss_D_fake 0.004677
[1120/5000][440/535][115530] Loss_D: -0.021019 Loss_G: 0.009919 Loss_D_real: -0.009671 Loss_D_fake 0.011347
[1120/5000][445/535][115531] Loss_D: -0.020016 Loss_G: 0.010953 Loss_D_real: -0.016904 Loss_D_fake 0.003112
[1120/5000][450/535][115532] Loss_D: -0.021171 Loss_G: 0.016925 Loss_D_real: -0.021176 Loss_D_fake -0.000004
[1120/5000][455/535][115533] Loss_D: -0.020572 Loss_G: 0.018300 Loss_D_real: -0.030682 Loss_D_fake -0.010110
[1120/5000][460/535][115534] Loss_D: -0.021101 Loss_G: 0.027860 Loss_D_real: -0.029007 Loss_D_fake -0.007906
[1120/5000][465/535][115535] Loss_D: -0.021029 Loss_G: -0.002928 Loss_D_real: -0.012026 Loss_D_fake 0.009003
[1120/5000][470/535][115536] Loss_D: -0.021642 Loss_G: 0.004443 Loss_D_real: -0.020533 Loss_D_fake 0.001109
[1120/5000][475/535][115537] Loss_D: -0.021196 Loss_G: -0.003597 Loss_D_real: -0.007853 Loss_D_fake 0.013343
[1120/5000][480/535][115538] Loss_D: -0.019872 Loss_G: -0.004986 Loss_D_real: 0.003942 Loss_D_fake 0.023814
[1120/5000][485/535][115539] Loss_D: -0.021433 Loss_G: -0.002169 Loss_D_real: -0.006347 Loss_D_fake 0.015087
[1120/5000][490/535][115540] Loss_D: -0.020485 Loss_G: 0.009113 Loss_D_real: -0.019707 Loss_D_fake 0.000777
[1120/5000][495/535][115541] Loss_D: -0.021994 Loss_G: 0.005517 Loss_D_real: 0.001904 Loss_D_fake 0.023898
[1120/5000][500/535][115542] Loss_D: -0.021709 Loss_G: 0.006401 Loss_D_real: -0.015146 Loss_D_fake 0.006563
[1120/5000][505/535][115543] Loss_D: -0.021445 Loss_G: 0.002325 Loss_D_real: -0.010835 Loss_D_fake 0.010610
[1120/5000][510/535][115544] Loss_D: -0.020236 Loss_G: 0.024538 Loss_D_real: -0.018327 Loss_D_fake 0.001909
[1120/5000][515/535][115545] Loss_D: -0.021961 Loss_G: -0.004844 Loss_D_real: -0.007229 Loss_D_fake 0.014732
[1120/5000][520/535][115546] Loss_D: -0.020517 Loss_G: -0.015022 Loss_D_real: -0.003914 Loss_D_fake 0.016603
[1120/5000][525/535][115547] Loss_D: -0.020183 Loss_G: 0.017332 Loss_D_real: -0.025775 Loss_D_fake -0.005592
[1120/5000][530/535][115548] Loss_D: -0.021066 Loss_G: 0.014937 Loss_D_real: -0.018179 Loss_D_fake 0.002886
[1120/5000][535/535][115549] Loss_D: -0.021098 Loss_G: 0.008160 Loss_D_real: -0.024252 Loss_D_fake -0.003154
[1121/5000][5/535][115550] Loss_D: -0.020975 Loss_G: 0.003661 Loss_D_real: -0.026146 Loss_D_fake -0.005171
[1121/5000][10/535][115551] Loss_D: -0.021421 Loss_G: -0.002225 Loss_D_real: -0.015868 Loss_D_fake 0.005553
[1121/5000][15/535][115552] Loss_D: -0.019608 Loss_G: 0.021372 Loss_D_real: -0.028770 Loss_D_fake -0.009163
[1121/5000][20/535][115553] Loss_D: -0.021508 Loss_G: 0.015867 Loss_D_real: -0.023442 Loss_D_fake -0.001934
[1121/5000][25/535][115554] Loss_D: -0.019726 Loss_G: 0.007374 Loss_D_real: -0.012246 Loss_D_fake 0.007480
[1121/5000][30/535][115555] Loss_D: -0.020105 Loss_G: 0.012785 Loss_D_real: -0.022490 Loss_D_fake -0.002385
[1121/5000][35/535][115556] Loss_D: -0.020798 Loss_G: -0.008204 Loss_D_real: -0.007050 Loss_D_fake 0.013748
[1121/5000][40/535][115557] Loss_D: -0.022067 Loss_G: 0.008383 Loss_D_real: -0.022898 Loss_D_fake -0.000831
[1121/5000][45/535][115558] Loss_D: -0.020713 Loss_G: -0.002977 Loss_D_real: 0.001474 Loss_D_fake 0.022187
[1121/5000][50/535][115559] Loss_D: -0.020266 Loss_G: -0.010068 Loss_D_real: -0.017869 Loss_D_fake 0.002397
[1121/5000][55/535][115560] Loss_D: -0.022940 Loss_G: 0.002098 Loss_D_real: -0.016019 Loss_D_fake 0.006920
[1121/5000][60/535][115561] Loss_D: -0.020280 Loss_G: 0.021874 Loss_D_real: -0.035937 Loss_D_fake -0.015657
[1121/5000][65/535][115562] Loss_D: -0.023009 Loss_G: 0.006914 Loss_D_real: -0.009830 Loss_D_fake 0.013179
[1121/5000][70/535][115563] Loss_D: -0.021488 Loss_G: 0.021464 Loss_D_real: -0.025879 Loss_D_fake -0.004392
[1121/5000][75/535][115564] Loss_D: -0.021266 Loss_G: -0.000083 Loss_D_real: -0.011842 Loss_D_fake 0.009423
[1121/5000][80/535][115565] Loss_D: -0.022693 Loss_G: 0.016922 Loss_D_real: -0.010925 Loss_D_fake 0.011768
[1121/5000][85/535][115566] Loss_D: -0.022955 Loss_G: -0.000122 Loss_D_real: -0.012947 Loss_D_fake 0.010008
[1121/5000][90/535][115567] Loss_D: -0.021373 Loss_G: 0.002231 Loss_D_real: -0.005089 Loss_D_fake 0.016284
[1121/5000][95/535][115568] Loss_D: -0.020428 Loss_G: 0.027185 Loss_D_real: -0.032627 Loss_D_fake -0.012199
[1121/5000][100/535][115569] Loss_D: -0.021363 Loss_G: 0.021243 Loss_D_real: -0.036986 Loss_D_fake -0.015623
[1121/5000][105/535][115570] Loss_D: -0.020045 Loss_G: -0.014621 Loss_D_real: 0.005499 Loss_D_fake 0.025544
[1121/5000][110/535][115571] Loss_D: -0.021640 Loss_G: 0.005805 Loss_D_real: -0.007986 Loss_D_fake 0.013654
[1121/5000][115/535][115572] Loss_D: -0.021090 Loss_G: -0.017435 Loss_D_real: -0.009158 Loss_D_fake 0.011933
[1121/5000][120/535][115573] Loss_D: -0.019957 Loss_G: 0.000417 Loss_D_real: -0.009215 Loss_D_fake 0.010742
[1121/5000][125/535][115574] Loss_D: -0.021454 Loss_G: 0.011342 Loss_D_real: -0.025481 Loss_D_fake -0.004028
[1121/5000][130/535][115575] Loss_D: -0.020868 Loss_G: -0.010127 Loss_D_real: -0.013489 Loss_D_fake 0.007379
[1121/5000][135/535][115576] Loss_D: -0.021064 Loss_G: 0.016923 Loss_D_real: -0.010393 Loss_D_fake 0.010671
[1121/5000][140/535][115577] Loss_D: -0.021404 Loss_G: 0.012078 Loss_D_real: -0.021536 Loss_D_fake -0.000132
[1121/5000][145/535][115578] Loss_D: -0.020576 Loss_G: 0.008766 Loss_D_real: -0.017226 Loss_D_fake 0.003351
[1121/5000][150/535][115579] Loss_D: -0.021093 Loss_G: 0.003647 Loss_D_real: -0.004980 Loss_D_fake 0.016113
[1121/5000][155/535][115580] Loss_D: -0.021350 Loss_G: 0.011960 Loss_D_real: -0.015443 Loss_D_fake 0.005907
[1121/5000][160/535][115581] Loss_D: -0.022421 Loss_G: -0.000951 Loss_D_real: -0.018455 Loss_D_fake 0.003966
[1121/5000][165/535][115582] Loss_D: -0.019325 Loss_G: 0.021692 Loss_D_real: -0.030088 Loss_D_fake -0.010763
[1121/5000][170/535][115583] Loss_D: -0.021019 Loss_G: 0.009025 Loss_D_real: -0.014153 Loss_D_fake 0.006866
[1121/5000][175/535][115584] Loss_D: -0.021381 Loss_G: -0.006541 Loss_D_real: -0.013290 Loss_D_fake 0.008091
[1121/5000][180/535][115585] Loss_D: -0.022041 Loss_G: 0.015895 Loss_D_real: -0.021009 Loss_D_fake 0.001032
[1121/5000][185/535][115586] Loss_D: -0.021548 Loss_G: 0.015023 Loss_D_real: -0.023330 Loss_D_fake -0.001782
[1121/5000][190/535][115587] Loss_D: -0.020955 Loss_G: 0.021453 Loss_D_real: -0.040705 Loss_D_fake -0.019750
[1121/5000][195/535][115588] Loss_D: -0.021066 Loss_G: 0.003694 Loss_D_real: -0.008892 Loss_D_fake 0.012174
[1121/5000][200/535][115589] Loss_D: -0.020197 Loss_G: 0.018728 Loss_D_real: -0.035620 Loss_D_fake -0.015423
[1121/5000][205/535][115590] Loss_D: -0.022198 Loss_G: 0.009224 Loss_D_real: -0.022002 Loss_D_fake 0.000196
[1121/5000][210/535][115591] Loss_D: -0.021215 Loss_G: 0.005331 Loss_D_real: -0.009503 Loss_D_fake 0.011712
[1121/5000][215/535][115592] Loss_D: -0.020021 Loss_G: -0.000674 Loss_D_real: -0.004590 Loss_D_fake 0.015431
[1121/5000][220/535][115593] Loss_D: -0.021774 Loss_G: 0.013666 Loss_D_real: -0.028858 Loss_D_fake -0.007084
[1121/5000][225/535][115594] Loss_D: -0.020709 Loss_G: 0.001037 Loss_D_real: -0.024021 Loss_D_fake -0.003313
[1121/5000][230/535][115595] Loss_D: -0.022357 Loss_G: 0.024307 Loss_D_real: -0.018743 Loss_D_fake 0.003614
[1121/5000][235/535][115596] Loss_D: -0.020308 Loss_G: -0.016109 Loss_D_real: -0.005639 Loss_D_fake 0.014669
[1121/5000][240/535][115597] Loss_D: -0.019885 Loss_G: 0.006557 Loss_D_real: -0.023425 Loss_D_fake -0.003541
[1121/5000][245/535][115598] Loss_D: -0.020054 Loss_G: -0.010339 Loss_D_real: -0.006178 Loss_D_fake 0.013876
[1121/5000][250/535][115599] Loss_D: -0.020915 Loss_G: 0.014916 Loss_D_real: -0.022503 Loss_D_fake -0.001588
[1121/5000][255/535][115600] Loss_D: -0.021400 Loss_G: 0.016358 Loss_D_real: -0.017672 Loss_D_fake 0.003727
[1121/5000][260/535][115601] Loss_D: -0.021171 Loss_G: 0.001424 Loss_D_real: -0.021247 Loss_D_fake -0.000076
[1121/5000][265/535][115602] Loss_D: -0.020855 Loss_G: 0.002022 Loss_D_real: -0.015836 Loss_D_fake 0.005020
[1121/5000][270/535][115603] Loss_D: -0.020917 Loss_G: -0.010304 Loss_D_real: -0.011042 Loss_D_fake 0.009875
[1121/5000][275/535][115604] Loss_D: -0.019816 Loss_G: 0.011801 Loss_D_real: -0.027952 Loss_D_fake -0.008137
[1121/5000][280/535][115605] Loss_D: -0.021253 Loss_G: 0.016860 Loss_D_real: -0.018386 Loss_D_fake 0.002868
[1121/5000][285/535][115606] Loss_D: -0.022171 Loss_G: 0.004729 Loss_D_real: -0.011053 Loss_D_fake 0.011117
[1121/5000][290/535][115607] Loss_D: -0.021946 Loss_G: 0.014574 Loss_D_real: -0.012500 Loss_D_fake 0.009446
[1121/5000][295/535][115608] Loss_D: -0.020302 Loss_G: -0.001260 Loss_D_real: -0.006874 Loss_D_fake 0.013428
[1121/5000][300/535][115609] Loss_D: -0.019763 Loss_G: 0.012826 Loss_D_real: -0.031426 Loss_D_fake -0.011662
[1121/5000][305/535][115610] Loss_D: -0.019978 Loss_G: -0.001661 Loss_D_real: -0.028048 Loss_D_fake -0.008070
[1121/5000][310/535][115611] Loss_D: -0.021443 Loss_G: 0.008563 Loss_D_real: -0.013222 Loss_D_fake 0.008220
[1121/5000][315/535][115612] Loss_D: -0.020949 Loss_G: 0.000478 Loss_D_real: -0.018012 Loss_D_fake 0.002937
[1121/5000][320/535][115613] Loss_D: -0.021153 Loss_G: 0.021556 Loss_D_real: -0.019416 Loss_D_fake 0.001737
[1121/5000][325/535][115614] Loss_D: -0.022858 Loss_G: 0.019234 Loss_D_real: -0.026469 Loss_D_fake -0.003611
[1121/5000][330/535][115615] Loss_D: -0.021626 Loss_G: -0.011143 Loss_D_real: -0.008631 Loss_D_fake 0.012995
[1121/5000][335/535][115616] Loss_D: -0.021134 Loss_G: 0.013166 Loss_D_real: -0.018769 Loss_D_fake 0.002365
[1121/5000][340/535][115617] Loss_D: -0.021849 Loss_G: -0.007146 Loss_D_real: -0.013542 Loss_D_fake 0.008307
[1121/5000][345/535][115618] Loss_D: -0.021036 Loss_G: -0.016938 Loss_D_real: -0.009199 Loss_D_fake 0.011838
[1121/5000][350/535][115619] Loss_D: -0.021293 Loss_G: -0.000066 Loss_D_real: -0.004537 Loss_D_fake 0.016756
[1121/5000][355/535][115620] Loss_D: -0.020974 Loss_G: 0.009118 Loss_D_real: -0.025423 Loss_D_fake -0.004449
[1121/5000][360/535][115621] Loss_D: -0.020287 Loss_G: 0.026568 Loss_D_real: -0.029998 Loss_D_fake -0.009711
[1121/5000][365/535][115622] Loss_D: -0.021678 Loss_G: 0.014914 Loss_D_real: -0.024621 Loss_D_fake -0.002944
[1121/5000][370/535][115623] Loss_D: -0.021189 Loss_G: 0.012420 Loss_D_real: -0.027701 Loss_D_fake -0.006512
[1121/5000][375/535][115624] Loss_D: -0.020837 Loss_G: 0.008840 Loss_D_real: -0.017435 Loss_D_fake 0.003402
[1121/5000][380/535][115625] Loss_D: -0.022379 Loss_G: -0.003433 Loss_D_real: -0.003849 Loss_D_fake 0.018530
[1121/5000][385/535][115626] Loss_D: -0.021376 Loss_G: -0.004921 Loss_D_real: -0.003758 Loss_D_fake 0.017618
[1121/5000][390/535][115627] Loss_D: -0.020556 Loss_G: 0.008224 Loss_D_real: -0.022141 Loss_D_fake -0.001585
[1121/5000][395/535][115628] Loss_D: -0.019969 Loss_G: 0.019862 Loss_D_real: -0.035107 Loss_D_fake -0.015138
[1121/5000][400/535][115629] Loss_D: -0.022506 Loss_G: 0.002088 Loss_D_real: -0.012601 Loss_D_fake 0.009905
[1121/5000][405/535][115630] Loss_D: -0.020219 Loss_G: 0.024968 Loss_D_real: -0.031326 Loss_D_fake -0.011106
[1121/5000][410/535][115631] Loss_D: -0.021641 Loss_G: 0.007220 Loss_D_real: -0.023506 Loss_D_fake -0.001864
[1121/5000][415/535][115632] Loss_D: -0.022080 Loss_G: -0.013451 Loss_D_real: -0.007676 Loss_D_fake 0.014403
[1121/5000][420/535][115633] Loss_D: -0.021849 Loss_G: 0.026684 Loss_D_real: -0.031903 Loss_D_fake -0.010054
[1121/5000][425/535][115634] Loss_D: -0.020418 Loss_G: 0.003079 Loss_D_real: -0.009519 Loss_D_fake 0.010900
[1121/5000][430/535][115635] Loss_D: -0.020541 Loss_G: -0.001543 Loss_D_real: -0.025275 Loss_D_fake -0.004734
[1121/5000][435/535][115636] Loss_D: -0.019946 Loss_G: 0.000626 Loss_D_real: -0.012944 Loss_D_fake 0.007002
[1121/5000][440/535][115637] Loss_D: -0.020801 Loss_G: 0.011886 Loss_D_real: -0.022146 Loss_D_fake -0.001346
[1121/5000][445/535][115638] Loss_D: -0.021376 Loss_G: -0.000953 Loss_D_real: -0.016840 Loss_D_fake 0.004535
[1121/5000][450/535][115639] Loss_D: -0.021631 Loss_G: 0.024280 Loss_D_real: -0.014899 Loss_D_fake 0.006732
[1121/5000][455/535][115640] Loss_D: -0.019801 Loss_G: 0.014507 Loss_D_real: -0.038751 Loss_D_fake -0.018950
[1121/5000][460/535][115641] Loss_D: -0.021864 Loss_G: 0.021226 Loss_D_real: -0.019870 Loss_D_fake 0.001994
[1121/5000][465/535][115642] Loss_D: -0.021055 Loss_G: -0.007535 Loss_D_real: -0.009315 Loss_D_fake 0.011739
[1121/5000][470/535][115643] Loss_D: -0.022096 Loss_G: 0.003441 Loss_D_real: -0.009011 Loss_D_fake 0.013084
[1121/5000][475/535][115644] Loss_D: -0.021261 Loss_G: 0.012187 Loss_D_real: -0.021924 Loss_D_fake -0.000662
[1121/5000][480/535][115645] Loss_D: -0.020259 Loss_G: 0.011998 Loss_D_real: -0.023881 Loss_D_fake -0.003623
[1121/5000][485/535][115646] Loss_D: -0.021275 Loss_G: 0.015004 Loss_D_real: -0.014762 Loss_D_fake 0.006513
[1121/5000][490/535][115647] Loss_D: -0.021246 Loss_G: 0.008325 Loss_D_real: -0.016854 Loss_D_fake 0.004392
[1121/5000][495/535][115648] Loss_D: -0.022211 Loss_G: 0.014693 Loss_D_real: -0.016500 Loss_D_fake 0.005711
[1121/5000][500/535][115649] Loss_D: -0.021464 Loss_G: -0.000487 Loss_D_real: -0.005964 Loss_D_fake 0.015500
[1121/5000][505/535][115650] Loss_D: -0.021704 Loss_G: -0.006528 Loss_D_real: -0.014795 Loss_D_fake 0.006909
[1121/5000][510/535][115651] Loss_D: -0.021907 Loss_G: 0.012350 Loss_D_real: -0.025780 Loss_D_fake -0.003873
[1121/5000][515/535][115652] Loss_D: -0.021287 Loss_G: 0.015388 Loss_D_real: -0.023877 Loss_D_fake -0.002590
[1121/5000][520/535][115653] Loss_D: -0.021152 Loss_G: 0.015862 Loss_D_real: -0.007847 Loss_D_fake 0.013305
[1121/5000][525/535][115654] Loss_D: -0.019980 Loss_G: -0.003602 Loss_D_real: -0.018925 Loss_D_fake 0.001055
[1121/5000][530/535][115655] Loss_D: -0.020862 Loss_G: 0.015407 Loss_D_real: -0.019821 Loss_D_fake 0.001041
[1121/5000][535/535][115656] Loss_D: -0.022854 Loss_G: 0.026030 Loss_D_real: -0.014649 Loss_D_fake 0.008205
[1122/5000][5/535][115657] Loss_D: -0.020501 Loss_G: 0.015713 Loss_D_real: -0.024349 Loss_D_fake -0.003848
[1122/5000][10/535][115658] Loss_D: -0.021166 Loss_G: -0.002001 Loss_D_real: -0.013636 Loss_D_fake 0.007531
[1122/5000][15/535][115659] Loss_D: -0.021337 Loss_G: -0.001262 Loss_D_real: -0.014752 Loss_D_fake 0.006585
[1122/5000][20/535][115660] Loss_D: -0.021536 Loss_G: 0.014848 Loss_D_real: -0.010162 Loss_D_fake 0.011375
[1122/5000][25/535][115661] Loss_D: -0.022069 Loss_G: -0.002100 Loss_D_real: -0.021817 Loss_D_fake 0.000252
[1122/5000][30/535][115662] Loss_D: -0.021625 Loss_G: 0.012462 Loss_D_real: -0.013013 Loss_D_fake 0.008611
[1122/5000][35/535][115663] Loss_D: -0.020980 Loss_G: -0.010933 Loss_D_real: -0.010822 Loss_D_fake 0.010158
[1122/5000][40/535][115664] Loss_D: -0.020798 Loss_G: 0.016784 Loss_D_real: -0.018283 Loss_D_fake 0.002516
[1122/5000][45/535][115665] Loss_D: -0.020729 Loss_G: 0.009762 Loss_D_real: -0.022060 Loss_D_fake -0.001330
[1122/5000][50/535][115666] Loss_D: -0.019766 Loss_G: -0.010741 Loss_D_real: 0.005161 Loss_D_fake 0.024927
[1122/5000][55/535][115667] Loss_D: -0.019412 Loss_G: 0.027902 Loss_D_real: -0.029301 Loss_D_fake -0.009889
[1122/5000][60/535][115668] Loss_D: -0.020196 Loss_G: 0.000795 Loss_D_real: -0.012955 Loss_D_fake 0.007241
[1122/5000][65/535][115669] Loss_D: -0.021170 Loss_G: 0.007050 Loss_D_real: -0.009727 Loss_D_fake 0.011442
[1122/5000][70/535][115670] Loss_D: -0.020377 Loss_G: 0.006473 Loss_D_real: -0.029985 Loss_D_fake -0.009608
[1122/5000][75/535][115671] Loss_D: -0.021435 Loss_G: 0.007546 Loss_D_real: -0.022426 Loss_D_fake -0.000991
[1122/5000][80/535][115672] Loss_D: -0.022932 Loss_G: 0.008000 Loss_D_real: -0.028481 Loss_D_fake -0.005549
[1122/5000][85/535][115673] Loss_D: -0.021439 Loss_G: 0.018523 Loss_D_real: -0.015439 Loss_D_fake 0.006000
[1122/5000][90/535][115674] Loss_D: -0.023350 Loss_G: 0.006189 Loss_D_real: -0.024098 Loss_D_fake -0.000749
[1122/5000][95/535][115675] Loss_D: -0.021831 Loss_G: 0.011474 Loss_D_real: -0.032658 Loss_D_fake -0.010828
[1122/5000][100/535][115676] Loss_D: -0.020304 Loss_G: 0.027040 Loss_D_real: -0.029771 Loss_D_fake -0.009467
[1122/5000][105/535][115677] Loss_D: -0.020431 Loss_G: -0.007918 Loss_D_real: -0.010882 Loss_D_fake 0.009548
[1122/5000][110/535][115678] Loss_D: -0.021495 Loss_G: -0.002493 Loss_D_real: -0.015277 Loss_D_fake 0.006218
[1122/5000][115/535][115679] Loss_D: -0.020269 Loss_G: -0.008036 Loss_D_real: -0.003419 Loss_D_fake 0.016850
[1122/5000][120/535][115680] Loss_D: -0.020617 Loss_G: 0.004863 Loss_D_real: -0.016142 Loss_D_fake 0.004475
[1122/5000][125/535][115681] Loss_D: -0.019393 Loss_G: 0.026967 Loss_D_real: -0.021879 Loss_D_fake -0.002486
[1122/5000][130/535][115682] Loss_D: -0.020946 Loss_G: 0.011708 Loss_D_real: -0.017634 Loss_D_fake 0.003312
[1122/5000][135/535][115683] Loss_D: -0.021308 Loss_G: -0.005625 Loss_D_real: -0.012285 Loss_D_fake 0.009023
[1122/5000][140/535][115684] Loss_D: -0.021984 Loss_G: 0.007276 Loss_D_real: -0.023200 Loss_D_fake -0.001216
[1122/5000][145/535][115685] Loss_D: -0.022149 Loss_G: 0.009018 Loss_D_real: -0.010308 Loss_D_fake 0.011842
[1122/5000][150/535][115686] Loss_D: -0.022263 Loss_G: -0.004466 Loss_D_real: -0.001835 Loss_D_fake 0.020428
[1122/5000][155/535][115687] Loss_D: -0.020798 Loss_G: 0.025921 Loss_D_real: -0.026006 Loss_D_fake -0.005208
[1122/5000][160/535][115688] Loss_D: -0.021390 Loss_G: 0.006504 Loss_D_real: -0.010331 Loss_D_fake 0.011058
[1122/5000][165/535][115689] Loss_D: -0.022089 Loss_G: -0.017281 Loss_D_real: -0.000566 Loss_D_fake 0.021523
[1122/5000][170/535][115690] Loss_D: -0.021371 Loss_G: 0.012182 Loss_D_real: -0.027070 Loss_D_fake -0.005699
[1122/5000][175/535][115691] Loss_D: -0.021641 Loss_G: 0.022071 Loss_D_real: -0.025905 Loss_D_fake -0.004265
[1122/5000][180/535][115692] Loss_D: -0.022155 Loss_G: 0.009122 Loss_D_real: -0.017340 Loss_D_fake 0.004815
[1122/5000][185/535][115693] Loss_D: -0.020919 Loss_G: 0.013946 Loss_D_real: -0.021821 Loss_D_fake -0.000902
[1122/5000][190/535][115694] Loss_D: -0.021192 Loss_G: 0.006136 Loss_D_real: -0.021639 Loss_D_fake -0.000447
[1122/5000][195/535][115695] Loss_D: -0.022032 Loss_G: 0.020101 Loss_D_real: -0.031393 Loss_D_fake -0.009362
[1122/5000][200/535][115696] Loss_D: -0.021207 Loss_G: 0.008405 Loss_D_real: -0.019999 Loss_D_fake 0.001208
[1122/5000][205/535][115697] Loss_D: -0.021728 Loss_G: 0.003344 Loss_D_real: -0.008512 Loss_D_fake 0.013217
[1122/5000][210/535][115698] Loss_D: -0.020843 Loss_G: 0.001205 Loss_D_real: -0.008564 Loss_D_fake 0.012278
[1122/5000][215/535][115699] Loss_D: -0.021372 Loss_G: -0.007826 Loss_D_real: -0.010868 Loss_D_fake 0.010504
[1122/5000][220/535][115700] Loss_D: -0.021412 Loss_G: 0.005107 Loss_D_real: 0.003099 Loss_D_fake 0.024511
[1122/5000][225/535][115701] Loss_D: -0.021606 Loss_G: 0.016404 Loss_D_real: -0.026906 Loss_D_fake -0.005300
[1122/5000][230/535][115702] Loss_D: -0.020993 Loss_G: 0.020746 Loss_D_real: -0.021943 Loss_D_fake -0.000949
[1122/5000][235/535][115703] Loss_D: -0.020977 Loss_G: -0.005236 Loss_D_real: -0.019674 Loss_D_fake 0.001303
[1122/5000][240/535][115704] Loss_D: -0.020370 Loss_G: 0.029608 Loss_D_real: -0.032499 Loss_D_fake -0.012130
[1122/5000][245/535][115705] Loss_D: -0.020805 Loss_G: 0.011654 Loss_D_real: -0.021820 Loss_D_fake -0.001014
[1122/5000][250/535][115706] Loss_D: -0.021480 Loss_G: -0.011077 Loss_D_real: -0.013556 Loss_D_fake 0.007925
[1122/5000][255/535][115707] Loss_D: -0.021345 Loss_G: 0.006352 Loss_D_real: -0.013008 Loss_D_fake 0.008336
[1122/5000][260/535][115708] Loss_D: -0.020776 Loss_G: 0.028377 Loss_D_real: -0.032418 Loss_D_fake -0.011641
[1122/5000][265/535][115709] Loss_D: -0.021564 Loss_G: 0.010746 Loss_D_real: -0.021822 Loss_D_fake -0.000258
[1122/5000][270/535][115710] Loss_D: -0.021954 Loss_G: 0.020576 Loss_D_real: -0.032854 Loss_D_fake -0.010900
[1122/5000][275/535][115711] Loss_D: -0.021111 Loss_G: 0.010389 Loss_D_real: -0.026614 Loss_D_fake -0.005503
[1122/5000][280/535][115712] Loss_D: -0.021959 Loss_G: 0.001505 Loss_D_real: -0.019328 Loss_D_fake 0.002631
[1122/5000][285/535][115713] Loss_D: -0.020200 Loss_G: 0.021814 Loss_D_real: -0.035077 Loss_D_fake -0.014877
[1122/5000][290/535][115714] Loss_D: -0.020852 Loss_G: 0.010868 Loss_D_real: -0.008010 Loss_D_fake 0.012842
[1122/5000][295/535][115715] Loss_D: -0.021386 Loss_G: 0.003911 Loss_D_real: -0.010918 Loss_D_fake 0.010468
[1122/5000][300/535][115716] Loss_D: -0.021751 Loss_G: 0.020591 Loss_D_real: -0.023550 Loss_D_fake -0.001799
[1122/5000][305/535][115717] Loss_D: -0.021470 Loss_G: 0.016036 Loss_D_real: -0.023136 Loss_D_fake -0.001666
[1122/5000][310/535][115718] Loss_D: -0.020597 Loss_G: 0.010615 Loss_D_real: -0.021618 Loss_D_fake -0.001021
[1122/5000][315/535][115719] Loss_D: -0.020906 Loss_G: 0.009538 Loss_D_real: -0.035387 Loss_D_fake -0.014481
[1122/5000][320/535][115720] Loss_D: -0.022049 Loss_G: -0.009683 Loss_D_real: -0.011997 Loss_D_fake 0.010052
[1122/5000][325/535][115721] Loss_D: -0.020004 Loss_G: 0.006778 Loss_D_real: -0.022222 Loss_D_fake -0.002217
[1122/5000][330/535][115722] Loss_D: -0.020851 Loss_G: 0.013824 Loss_D_real: -0.021985 Loss_D_fake -0.001134
[1122/5000][335/535][115723] Loss_D: -0.022086 Loss_G: 0.006506 Loss_D_real: -0.005553 Loss_D_fake 0.016533
[1122/5000][340/535][115724] Loss_D: -0.019889 Loss_G: -0.006120 Loss_D_real: 0.002303 Loss_D_fake 0.022192
[1122/5000][345/535][115725] Loss_D: -0.021530 Loss_G: 0.015535 Loss_D_real: -0.025964 Loss_D_fake -0.004434
[1122/5000][350/535][115726] Loss_D: -0.021413 Loss_G: 0.001143 Loss_D_real: -0.008817 Loss_D_fake 0.012596
[1122/5000][355/535][115727] Loss_D: -0.022058 Loss_G: 0.006718 Loss_D_real: -0.026520 Loss_D_fake -0.004463
[1122/5000][360/535][115728] Loss_D: -0.019916 Loss_G: -0.003968 Loss_D_real: -0.003722 Loss_D_fake 0.016194
[1122/5000][365/535][115729] Loss_D: -0.022086 Loss_G: 0.013475 Loss_D_real: -0.018914 Loss_D_fake 0.003172
[1122/5000][370/535][115730] Loss_D: -0.020447 Loss_G: 0.008955 Loss_D_real: -0.022519 Loss_D_fake -0.002072
[1122/5000][375/535][115731] Loss_D: -0.021825 Loss_G: 0.010010 Loss_D_real: -0.026954 Loss_D_fake -0.005130
[1122/5000][380/535][115732] Loss_D: -0.020644 Loss_G: 0.015418 Loss_D_real: -0.008575 Loss_D_fake 0.012069
[1122/5000][385/535][115733] Loss_D: -0.020096 Loss_G: 0.007393 Loss_D_real: -0.016948 Loss_D_fake 0.003149
[1122/5000][390/535][115734] Loss_D: -0.019359 Loss_G: 0.012813 Loss_D_real: -0.029587 Loss_D_fake -0.010228
[1122/5000][395/535][115735] Loss_D: -0.021276 Loss_G: 0.011157 Loss_D_real: -0.009955 Loss_D_fake 0.011321
[1122/5000][400/535][115736] Loss_D: -0.021079 Loss_G: -0.013816 Loss_D_real: -0.010319 Loss_D_fake 0.010760
[1122/5000][405/535][115737] Loss_D: -0.022046 Loss_G: 0.012799 Loss_D_real: -0.021761 Loss_D_fake 0.000286
[1122/5000][410/535][115738] Loss_D: -0.022200 Loss_G: 0.021110 Loss_D_real: -0.022256 Loss_D_fake -0.000055
[1122/5000][415/535][115739] Loss_D: -0.021622 Loss_G: 0.003556 Loss_D_real: -0.017063 Loss_D_fake 0.004560
[1122/5000][420/535][115740] Loss_D: -0.021743 Loss_G: 0.009965 Loss_D_real: -0.013735 Loss_D_fake 0.008007
[1122/5000][425/535][115741] Loss_D: -0.022164 Loss_G: 0.001209 Loss_D_real: -0.008045 Loss_D_fake 0.014119
[1122/5000][430/535][115742] Loss_D: -0.020418 Loss_G: -0.012816 Loss_D_real: -0.006785 Loss_D_fake 0.013633
[1122/5000][435/535][115743] Loss_D: -0.021482 Loss_G: 0.006938 Loss_D_real: -0.015832 Loss_D_fake 0.005650
[1122/5000][440/535][115744] Loss_D: -0.019549 Loss_G: 0.027893 Loss_D_real: -0.034418 Loss_D_fake -0.014869
[1122/5000][445/535][115745] Loss_D: -0.020518 Loss_G: 0.000877 Loss_D_real: -0.019964 Loss_D_fake 0.000554
[1122/5000][450/535][115746] Loss_D: -0.021795 Loss_G: 0.004804 Loss_D_real: -0.019478 Loss_D_fake 0.002317
[1122/5000][455/535][115747] Loss_D: -0.022582 Loss_G: 0.010286 Loss_D_real: -0.011774 Loss_D_fake 0.010808
[1122/5000][460/535][115748] Loss_D: -0.020453 Loss_G: -0.007317 Loss_D_real: -0.000939 Loss_D_fake 0.019514
[1122/5000][465/535][115749] Loss_D: -0.021225 Loss_G: 0.011542 Loss_D_real: -0.019519 Loss_D_fake 0.001706
[1122/5000][470/535][115750] Loss_D: -0.021515 Loss_G: 0.013063 Loss_D_real: -0.021281 Loss_D_fake 0.000234
[1122/5000][475/535][115751] Loss_D: -0.022355 Loss_G: 0.009501 Loss_D_real: -0.019071 Loss_D_fake 0.003284
[1122/5000][480/535][115752] Loss_D: -0.021193 Loss_G: 0.003253 Loss_D_real: -0.023171 Loss_D_fake -0.001978
[1122/5000][485/535][115753] Loss_D: -0.021720 Loss_G: 0.036052 Loss_D_real: -0.026834 Loss_D_fake -0.005114
[1122/5000][490/535][115754] Loss_D: -0.021593 Loss_G: 0.006770 Loss_D_real: -0.024901 Loss_D_fake -0.003308
[1122/5000][495/535][115755] Loss_D: -0.022175 Loss_G: -0.001544 Loss_D_real: -0.014891 Loss_D_fake 0.007284
[1122/5000][500/535][115756] Loss_D: -0.019784 Loss_G: 0.022571 Loss_D_real: -0.031887 Loss_D_fake -0.012103
[1122/5000][505/535][115757] Loss_D: -0.022114 Loss_G: 0.006866 Loss_D_real: -0.017000 Loss_D_fake 0.005114
[1122/5000][510/535][115758] Loss_D: -0.020407 Loss_G: 0.018978 Loss_D_real: -0.028622 Loss_D_fake -0.008215
[1122/5000][515/535][115759] Loss_D: -0.021282 Loss_G: 0.016261 Loss_D_real: -0.010492 Loss_D_fake 0.010790
[1122/5000][520/535][115760] Loss_D: -0.019795 Loss_G: 0.015329 Loss_D_real: -0.032525 Loss_D_fake -0.012730
[1122/5000][525/535][115761] Loss_D: -0.020290 Loss_G: -0.006671 Loss_D_real: 0.001255 Loss_D_fake 0.021545
[1122/5000][530/535][115762] Loss_D: -0.021282 Loss_G: 0.005501 Loss_D_real: -0.016128 Loss_D_fake 0.005154
[1122/5000][535/535][115763] Loss_D: -0.021512 Loss_G: 0.022348 Loss_D_real: -0.014770 Loss_D_fake 0.006742
[1123/5000][5/535][115764] Loss_D: -0.018912 Loss_G: 0.022110 Loss_D_real: -0.026774 Loss_D_fake -0.007862
[1123/5000][10/535][115765] Loss_D: -0.020993 Loss_G: 0.015147 Loss_D_real: -0.014177 Loss_D_fake 0.006816
[1123/5000][15/535][115766] Loss_D: -0.021878 Loss_G: 0.006924 Loss_D_real: -0.015670 Loss_D_fake 0.006208
[1123/5000][20/535][115767] Loss_D: -0.021749 Loss_G: 0.006022 Loss_D_real: -0.019118 Loss_D_fake 0.002630
[1123/5000][25/535][115768] Loss_D: -0.020909 Loss_G: 0.003258 Loss_D_real: -0.015237 Loss_D_fake 0.005672
[1123/5000][30/535][115769] Loss_D: -0.021329 Loss_G: 0.011845 Loss_D_real: -0.015334 Loss_D_fake 0.005995
[1123/5000][35/535][115770] Loss_D: -0.020444 Loss_G: -0.014879 Loss_D_real: -0.007248 Loss_D_fake 0.013196
[1123/5000][40/535][115771] Loss_D: -0.021297 Loss_G: 0.018425 Loss_D_real: -0.019719 Loss_D_fake 0.001578
[1123/5000][45/535][115772] Loss_D: -0.021233 Loss_G: -0.011666 Loss_D_real: -0.002478 Loss_D_fake 0.018755
[1123/5000][50/535][115773] Loss_D: -0.021502 Loss_G: 0.002415 Loss_D_real: -0.012404 Loss_D_fake 0.009098
[1123/5000][55/535][115774] Loss_D: -0.021864 Loss_G: 0.016145 Loss_D_real: -0.020539 Loss_D_fake 0.001326
[1123/5000][60/535][115775] Loss_D: -0.020424 Loss_G: 0.022195 Loss_D_real: -0.025824 Loss_D_fake -0.005400
[1123/5000][65/535][115776] Loss_D: -0.021609 Loss_G: -0.005898 Loss_D_real: -0.015510 Loss_D_fake 0.006099
[1123/5000][70/535][115777] Loss_D: -0.022179 Loss_G: 0.007093 Loss_D_real: -0.012143 Loss_D_fake 0.010036
[1123/5000][75/535][115778] Loss_D: -0.023180 Loss_G: -0.002749 Loss_D_real: -0.019343 Loss_D_fake 0.003838
[1123/5000][80/535][115779] Loss_D: -0.021420 Loss_G: 0.034167 Loss_D_real: -0.029588 Loss_D_fake -0.008168
[1123/5000][85/535][115780] Loss_D: -0.021109 Loss_G: 0.001266 Loss_D_real: -0.019781 Loss_D_fake 0.001328
[1123/5000][90/535][115781] Loss_D: -0.020398 Loss_G: 0.027778 Loss_D_real: -0.026810 Loss_D_fake -0.006412
[1123/5000][95/535][115782] Loss_D: -0.021398 Loss_G: 0.003349 Loss_D_real: -0.016534 Loss_D_fake 0.004865
[1123/5000][100/535][115783] Loss_D: -0.020041 Loss_G: 0.001740 Loss_D_real: -0.022259 Loss_D_fake -0.002218
[1123/5000][105/535][115784] Loss_D: -0.020771 Loss_G: -0.003557 Loss_D_real: -0.007877 Loss_D_fake 0.012894
[1123/5000][110/535][115785] Loss_D: -0.021255 Loss_G: 0.010702 Loss_D_real: -0.015072 Loss_D_fake 0.006183
[1123/5000][115/535][115786] Loss_D: -0.021735 Loss_G: 0.008733 Loss_D_real: -0.016778 Loss_D_fake 0.004958
[1123/5000][120/535][115787] Loss_D: -0.021921 Loss_G: 0.007024 Loss_D_real: -0.011656 Loss_D_fake 0.010265
[1123/5000][125/535][115788] Loss_D: -0.021184 Loss_G: -0.010580 Loss_D_real: -0.010482 Loss_D_fake 0.010702
[1123/5000][130/535][115789] Loss_D: -0.021210 Loss_G: 0.010231 Loss_D_real: -0.013584 Loss_D_fake 0.007626
[1123/5000][135/535][115790] Loss_D: -0.020443 Loss_G: 0.012540 Loss_D_real: -0.024910 Loss_D_fake -0.004467
[1123/5000][140/535][115791] Loss_D: -0.021746 Loss_G: 0.002377 Loss_D_real: -0.018980 Loss_D_fake 0.002766
[1123/5000][145/535][115792] Loss_D: -0.020229 Loss_G: 0.021593 Loss_D_real: -0.021075 Loss_D_fake -0.000846
[1123/5000][150/535][115793] Loss_D: -0.020978 Loss_G: -0.000986 Loss_D_real: 0.002457 Loss_D_fake 0.023435
[1123/5000][155/535][115794] Loss_D: -0.020505 Loss_G: 0.013854 Loss_D_real: -0.027287 Loss_D_fake -0.006782
[1123/5000][160/535][115795] Loss_D: -0.022610 Loss_G: 0.003104 Loss_D_real: -0.017931 Loss_D_fake 0.004679
[1123/5000][165/535][115796] Loss_D: -0.021963 Loss_G: 0.017716 Loss_D_real: -0.009904 Loss_D_fake 0.012060
[1123/5000][170/535][115797] Loss_D: -0.021733 Loss_G: 0.001707 Loss_D_real: -0.022017 Loss_D_fake -0.000284
[1123/5000][175/535][115798] Loss_D: -0.021859 Loss_G: -0.008774 Loss_D_real: -0.004460 Loss_D_fake 0.017399
[1123/5000][180/535][115799] Loss_D: -0.020860 Loss_G: 0.014340 Loss_D_real: -0.024646 Loss_D_fake -0.003787
[1123/5000][185/535][115800] Loss_D: -0.021220 Loss_G: -0.001094 Loss_D_real: -0.011988 Loss_D_fake 0.009231
[1123/5000][190/535][115801] Loss_D: -0.020130 Loss_G: 0.001647 Loss_D_real: -0.015826 Loss_D_fake 0.004304
[1123/5000][195/535][115802] Loss_D: -0.021457 Loss_G: 0.016499 Loss_D_real: -0.027117 Loss_D_fake -0.005660
[1123/5000][200/535][115803] Loss_D: -0.021342 Loss_G: 0.005633 Loss_D_real: -0.016258 Loss_D_fake 0.005083
[1123/5000][205/535][115804] Loss_D: -0.021000 Loss_G: 0.006489 Loss_D_real: -0.025032 Loss_D_fake -0.004031
[1123/5000][210/535][115805] Loss_D: -0.021019 Loss_G: 0.004900 Loss_D_real: -0.022880 Loss_D_fake -0.001861
[1123/5000][215/535][115806] Loss_D: -0.020923 Loss_G: 0.014760 Loss_D_real: -0.019734 Loss_D_fake 0.001189
[1123/5000][220/535][115807] Loss_D: -0.021280 Loss_G: 0.014506 Loss_D_real: -0.021046 Loss_D_fake 0.000234
[1123/5000][225/535][115808] Loss_D: -0.021656 Loss_G: 0.016580 Loss_D_real: -0.038620 Loss_D_fake -0.016965
[1123/5000][230/535][115809] Loss_D: -0.020484 Loss_G: 0.012445 Loss_D_real: -0.022499 Loss_D_fake -0.002015
[1123/5000][235/535][115810] Loss_D: -0.021484 Loss_G: 0.008106 Loss_D_real: -0.018129 Loss_D_fake 0.003355
[1123/5000][240/535][115811] Loss_D: -0.020916 Loss_G: 0.003992 Loss_D_real: -0.011166 Loss_D_fake 0.009750
[1123/5000][245/535][115812] Loss_D: -0.022565 Loss_G: 0.006159 Loss_D_real: -0.025707 Loss_D_fake -0.003142
[1123/5000][250/535][115813] Loss_D: -0.023087 Loss_G: 0.020739 Loss_D_real: -0.019909 Loss_D_fake 0.003178
[1123/5000][255/535][115814] Loss_D: -0.022587 Loss_G: 0.007745 Loss_D_real: -0.013076 Loss_D_fake 0.009511
[1123/5000][260/535][115815] Loss_D: -0.020708 Loss_G: -0.006378 Loss_D_real: 0.002572 Loss_D_fake 0.023280
[1123/5000][265/535][115816] Loss_D: -0.021336 Loss_G: 0.005823 Loss_D_real: -0.016811 Loss_D_fake 0.004525
[1123/5000][270/535][115817] Loss_D: -0.022150 Loss_G: 0.014561 Loss_D_real: -0.022788 Loss_D_fake -0.000638
[1123/5000][275/535][115818] Loss_D: -0.020013 Loss_G: 0.029042 Loss_D_real: -0.020524 Loss_D_fake -0.000510
[1123/5000][280/535][115819] Loss_D: -0.022330 Loss_G: -0.001163 Loss_D_real: -0.006518 Loss_D_fake 0.015811
[1123/5000][285/535][115820] Loss_D: -0.022166 Loss_G: 0.006846 Loss_D_real: -0.004451 Loss_D_fake 0.017715
[1123/5000][290/535][115821] Loss_D: -0.021661 Loss_G: 0.013212 Loss_D_real: -0.018896 Loss_D_fake 0.002765
[1123/5000][295/535][115822] Loss_D: -0.022450 Loss_G: 0.004562 Loss_D_real: -0.021013 Loss_D_fake 0.001438
[1123/5000][300/535][115823] Loss_D: -0.020766 Loss_G: -0.008756 Loss_D_real: -0.009698 Loss_D_fake 0.011068
[1123/5000][305/535][115824] Loss_D: -0.021281 Loss_G: 0.007660 Loss_D_real: -0.019390 Loss_D_fake 0.001891
[1123/5000][310/535][115825] Loss_D: -0.021898 Loss_G: 0.010583 Loss_D_real: -0.023431 Loss_D_fake -0.001533
[1123/5000][315/535][115826] Loss_D: -0.021620 Loss_G: 0.012775 Loss_D_real: -0.021340 Loss_D_fake 0.000280
[1123/5000][320/535][115827] Loss_D: -0.021005 Loss_G: 0.019720 Loss_D_real: -0.033089 Loss_D_fake -0.012084
[1123/5000][325/535][115828] Loss_D: -0.021789 Loss_G: 0.010540 Loss_D_real: -0.019687 Loss_D_fake 0.002102
[1123/5000][330/535][115829] Loss_D: -0.021774 Loss_G: 0.013801 Loss_D_real: -0.032723 Loss_D_fake -0.010948
[1123/5000][335/535][115830] Loss_D: -0.021060 Loss_G: -0.009521 Loss_D_real: -0.012991 Loss_D_fake 0.008069
[1123/5000][340/535][115831] Loss_D: -0.021192 Loss_G: 0.018629 Loss_D_real: -0.020957 Loss_D_fake 0.000235
[1123/5000][345/535][115832] Loss_D: -0.021842 Loss_G: 0.013510 Loss_D_real: -0.014851 Loss_D_fake 0.006992
[1123/5000][350/535][115833] Loss_D: -0.019959 Loss_G: 0.016592 Loss_D_real: -0.015725 Loss_D_fake 0.004234
[1123/5000][355/535][115834] Loss_D: -0.020659 Loss_G: 0.018657 Loss_D_real: -0.032419 Loss_D_fake -0.011760
[1123/5000][360/535][115835] Loss_D: -0.019410 Loss_G: -0.016222 Loss_D_real: 0.006288 Loss_D_fake 0.025698
[1123/5000][365/535][115836] Loss_D: -0.020994 Loss_G: -0.005980 Loss_D_real: -0.007498 Loss_D_fake 0.013495
[1123/5000][370/535][115837] Loss_D: -0.020611 Loss_G: -0.005555 Loss_D_real: -0.006194 Loss_D_fake 0.014417
[1123/5000][375/535][115838] Loss_D: -0.020980 Loss_G: 0.025625 Loss_D_real: -0.026759 Loss_D_fake -0.005779
[1123/5000][380/535][115839] Loss_D: -0.021485 Loss_G: 0.020453 Loss_D_real: -0.016848 Loss_D_fake 0.004637
[1123/5000][385/535][115840] Loss_D: -0.020375 Loss_G: 0.010337 Loss_D_real: -0.014251 Loss_D_fake 0.006124
[1123/5000][390/535][115841] Loss_D: -0.020909 Loss_G: -0.005578 Loss_D_real: -0.018598 Loss_D_fake 0.002311
[1123/5000][395/535][115842] Loss_D: -0.021704 Loss_G: 0.009354 Loss_D_real: -0.016052 Loss_D_fake 0.005652
[1123/5000][400/535][115843] Loss_D: -0.020976 Loss_G: -0.010104 Loss_D_real: -0.004826 Loss_D_fake 0.016149
[1123/5000][405/535][115844] Loss_D: -0.022413 Loss_G: 0.017062 Loss_D_real: -0.015579 Loss_D_fake 0.006834
[1123/5000][410/535][115845] Loss_D: -0.021322 Loss_G: -0.001044 Loss_D_real: -0.013840 Loss_D_fake 0.007482
[1123/5000][415/535][115846] Loss_D: -0.021736 Loss_G: 0.008842 Loss_D_real: -0.014591 Loss_D_fake 0.007144
[1123/5000][420/535][115847] Loss_D: -0.021881 Loss_G: 0.019371 Loss_D_real: -0.020467 Loss_D_fake 0.001414
[1123/5000][425/535][115848] Loss_D: -0.019875 Loss_G: 0.010940 Loss_D_real: -0.021060 Loss_D_fake -0.001185
[1123/5000][430/535][115849] Loss_D: -0.021972 Loss_G: -0.003961 Loss_D_real: -0.016557 Loss_D_fake 0.005416
[1123/5000][435/535][115850] Loss_D: -0.022275 Loss_G: -0.001442 Loss_D_real: -0.009903 Loss_D_fake 0.012373
[1123/5000][440/535][115851] Loss_D: -0.020979 Loss_G: -0.003030 Loss_D_real: -0.006018 Loss_D_fake 0.014961
[1123/5000][445/535][115852] Loss_D: -0.020551 Loss_G: -0.005980 Loss_D_real: -0.013789 Loss_D_fake 0.006762
[1123/5000][450/535][115853] Loss_D: -0.020039 Loss_G: 0.015853 Loss_D_real: -0.030067 Loss_D_fake -0.010028
[1123/5000][455/535][115854] Loss_D: -0.021795 Loss_G: -0.006741 Loss_D_real: -0.009278 Loss_D_fake 0.012517
[1123/5000][460/535][115855] Loss_D: -0.021791 Loss_G: 0.010791 Loss_D_real: -0.017719 Loss_D_fake 0.004072
[1123/5000][465/535][115856] Loss_D: -0.021131 Loss_G: 0.005711 Loss_D_real: -0.017766 Loss_D_fake 0.003365
[1123/5000][470/535][115857] Loss_D: -0.021278 Loss_G: 0.011167 Loss_D_real: -0.029280 Loss_D_fake -0.008002
[1123/5000][475/535][115858] Loss_D: -0.021130 Loss_G: -0.012082 Loss_D_real: -0.009608 Loss_D_fake 0.011522
[1123/5000][480/535][115859] Loss_D: -0.021733 Loss_G: 0.017534 Loss_D_real: -0.025412 Loss_D_fake -0.003679
[1123/5000][485/535][115860] Loss_D: -0.021149 Loss_G: 0.022901 Loss_D_real: -0.026854 Loss_D_fake -0.005704
[1123/5000][490/535][115861] Loss_D: -0.021493 Loss_G: 0.002027 Loss_D_real: -0.018514 Loss_D_fake 0.002979
[1123/5000][495/535][115862] Loss_D: -0.019714 Loss_G: 0.013548 Loss_D_real: -0.031120 Loss_D_fake -0.011406
[1123/5000][500/535][115863] Loss_D: -0.020588 Loss_G: 0.015257 Loss_D_real: -0.027953 Loss_D_fake -0.007365
[1123/5000][505/535][115864] Loss_D: -0.020617 Loss_G: 0.015234 Loss_D_real: -0.017414 Loss_D_fake 0.003203
[1123/5000][510/535][115865] Loss_D: -0.021797 Loss_G: -0.000667 Loss_D_real: -0.027080 Loss_D_fake -0.005283
[1123/5000][515/535][115866] Loss_D: -0.021168 Loss_G: 0.001294 Loss_D_real: -0.010154 Loss_D_fake 0.011014
[1123/5000][520/535][115867] Loss_D: -0.020066 Loss_G: 0.011462 Loss_D_real: -0.020865 Loss_D_fake -0.000798
[1123/5000][525/535][115868] Loss_D: -0.021725 Loss_G: 0.011829 Loss_D_real: -0.022492 Loss_D_fake -0.000767
[1123/5000][530/535][115869] Loss_D: -0.021910 Loss_G: 0.004638 Loss_D_real: -0.017859 Loss_D_fake 0.004051
[1123/5000][535/535][115870] Loss_D: -0.021978 Loss_G: 0.014023 Loss_D_real: -0.019649 Loss_D_fake 0.002329
[1124/5000][5/535][115871] Loss_D: -0.020090 Loss_G: 0.018860 Loss_D_real: -0.018807 Loss_D_fake 0.001283
[1124/5000][10/535][115872] Loss_D: -0.020649 Loss_G: -0.002114 Loss_D_real: -0.021204 Loss_D_fake -0.000555
[1124/5000][15/535][115873] Loss_D: -0.020277 Loss_G: 0.000328 Loss_D_real: -0.020968 Loss_D_fake -0.000691
[1124/5000][20/535][115874] Loss_D: -0.020436 Loss_G: -0.010646 Loss_D_real: 0.001227 Loss_D_fake 0.021663
[1124/5000][25/535][115875] Loss_D: -0.020998 Loss_G: 0.013144 Loss_D_real: -0.026401 Loss_D_fake -0.005403
[1124/5000][30/535][115876] Loss_D: -0.021364 Loss_G: 0.018679 Loss_D_real: -0.027159 Loss_D_fake -0.005794
[1124/5000][35/535][115877] Loss_D: -0.021394 Loss_G: -0.001319 Loss_D_real: -0.006070 Loss_D_fake 0.015324
[1124/5000][40/535][115878] Loss_D: -0.020570 Loss_G: -0.008589 Loss_D_real: -0.002037 Loss_D_fake 0.018533
[1124/5000][45/535][115879] Loss_D: -0.020964 Loss_G: 0.006501 Loss_D_real: -0.017874 Loss_D_fake 0.003090
[1124/5000][50/535][115880] Loss_D: -0.020620 Loss_G: 0.004020 Loss_D_real: -0.017319 Loss_D_fake 0.003300
[1124/5000][55/535][115881] Loss_D: -0.021418 Loss_G: 0.009807 Loss_D_real: -0.007596 Loss_D_fake 0.013822
[1124/5000][60/535][115882] Loss_D: -0.022622 Loss_G: 0.017753 Loss_D_real: -0.022971 Loss_D_fake -0.000349
[1124/5000][65/535][115883] Loss_D: -0.021909 Loss_G: -0.016306 Loss_D_real: 0.002673 Loss_D_fake 0.024582
[1124/5000][70/535][115884] Loss_D: -0.021268 Loss_G: 0.010416 Loss_D_real: -0.024207 Loss_D_fake -0.002939
[1124/5000][75/535][115885] Loss_D: -0.022772 Loss_G: 0.005472 Loss_D_real: -0.016268 Loss_D_fake 0.006503
[1124/5000][80/535][115886] Loss_D: -0.020876 Loss_G: 0.002003 Loss_D_real: -0.011717 Loss_D_fake 0.009160
[1124/5000][85/535][115887] Loss_D: -0.019543 Loss_G: 0.026244 Loss_D_real: -0.025685 Loss_D_fake -0.006142
[1124/5000][90/535][115888] Loss_D: -0.021365 Loss_G: -0.011601 Loss_D_real: -0.009173 Loss_D_fake 0.012192
[1124/5000][95/535][115889] Loss_D: -0.021158 Loss_G: -0.004698 Loss_D_real: -0.010251 Loss_D_fake 0.010906
[1124/5000][100/535][115890] Loss_D: -0.021126 Loss_G: 0.015510 Loss_D_real: -0.016055 Loss_D_fake 0.005071
[1124/5000][105/535][115891] Loss_D: -0.021597 Loss_G: -0.000678 Loss_D_real: -0.016893 Loss_D_fake 0.004704
[1124/5000][110/535][115892] Loss_D: -0.019891 Loss_G: 0.009219 Loss_D_real: -0.017370 Loss_D_fake 0.002521
[1124/5000][115/535][115893] Loss_D: -0.021411 Loss_G: -0.001630 Loss_D_real: -0.009546 Loss_D_fake 0.011865
[1124/5000][120/535][115894] Loss_D: -0.021134 Loss_G: 0.018659 Loss_D_real: -0.033024 Loss_D_fake -0.011890
[1124/5000][125/535][115895] Loss_D: -0.021044 Loss_G: -0.001102 Loss_D_real: -0.005587 Loss_D_fake 0.015456
[1124/5000][130/535][115896] Loss_D: -0.022046 Loss_G: -0.015001 Loss_D_real: -0.018762 Loss_D_fake 0.003284
[1124/5000][135/535][115897] Loss_D: -0.020205 Loss_G: -0.001375 Loss_D_real: -0.015665 Loss_D_fake 0.004539
[1124/5000][140/535][115898] Loss_D: -0.020751 Loss_G: 0.017540 Loss_D_real: -0.022096 Loss_D_fake -0.001345
[1124/5000][145/535][115899] Loss_D: -0.021964 Loss_G: 0.012609 Loss_D_real: -0.012210 Loss_D_fake 0.009754
[1124/5000][150/535][115900] Loss_D: -0.020252 Loss_G: 0.009127 Loss_D_real: -0.029084 Loss_D_fake -0.008831
[1124/5000][155/535][115901] Loss_D: -0.021485 Loss_G: -0.002644 Loss_D_real: -0.010565 Loss_D_fake 0.010919
[1124/5000][160/535][115902] Loss_D: -0.022242 Loss_G: 0.026837 Loss_D_real: -0.015025 Loss_D_fake 0.007217
[1124/5000][165/535][115903] Loss_D: -0.022726 Loss_G: 0.004546 Loss_D_real: -0.025389 Loss_D_fake -0.002663
[1124/5000][170/535][115904] Loss_D: -0.020937 Loss_G: 0.021944 Loss_D_real: -0.029721 Loss_D_fake -0.008784
[1124/5000][175/535][115905] Loss_D: -0.022067 Loss_G: 0.017280 Loss_D_real: -0.029208 Loss_D_fake -0.007141
[1124/5000][180/535][115906] Loss_D: -0.020522 Loss_G: 0.018146 Loss_D_real: -0.035011 Loss_D_fake -0.014489
[1124/5000][185/535][115907] Loss_D: -0.020117 Loss_G: 0.018463 Loss_D_real: -0.032166 Loss_D_fake -0.012049
[1124/5000][190/535][115908] Loss_D: -0.021333 Loss_G: 0.018261 Loss_D_real: -0.026518 Loss_D_fake -0.005186
[1124/5000][195/535][115909] Loss_D: -0.021491 Loss_G: 0.011567 Loss_D_real: -0.014269 Loss_D_fake 0.007222
[1124/5000][200/535][115910] Loss_D: -0.019624 Loss_G: 0.033458 Loss_D_real: -0.038316 Loss_D_fake -0.018692
[1124/5000][205/535][115911] Loss_D: -0.019872 Loss_G: 0.017929 Loss_D_real: -0.025121 Loss_D_fake -0.005249
[1124/5000][210/535][115912] Loss_D: -0.020135 Loss_G: 0.018251 Loss_D_real: -0.034925 Loss_D_fake -0.014790
[1124/5000][215/535][115913] Loss_D: -0.020891 Loss_G: 0.002964 Loss_D_real: -0.010513 Loss_D_fake 0.010378
[1124/5000][220/535][115914] Loss_D: -0.020630 Loss_G: 0.013344 Loss_D_real: -0.030809 Loss_D_fake -0.010179
[1124/5000][225/535][115915] Loss_D: -0.020482 Loss_G: 0.002645 Loss_D_real: -0.026211 Loss_D_fake -0.005729
[1124/5000][230/535][115916] Loss_D: -0.019890 Loss_G: 0.017507 Loss_D_real: -0.035055 Loss_D_fake -0.015165
[1124/5000][235/535][115917] Loss_D: -0.021674 Loss_G: 0.002858 Loss_D_real: -0.016654 Loss_D_fake 0.005021
[1124/5000][240/535][115918] Loss_D: -0.019676 Loss_G: 0.021043 Loss_D_real: -0.023606 Loss_D_fake -0.003929
[1124/5000][245/535][115919] Loss_D: -0.020870 Loss_G: 0.007072 Loss_D_real: -0.004569 Loss_D_fake 0.016301
[1124/5000][250/535][115920] Loss_D: -0.020499 Loss_G: -0.001063 Loss_D_real: -0.005423 Loss_D_fake 0.015076
[1124/5000][255/535][115921] Loss_D: -0.021924 Loss_G: 0.006929 Loss_D_real: -0.015655 Loss_D_fake 0.006269
[1124/5000][260/535][115922] Loss_D: -0.022144 Loss_G: 0.002230 Loss_D_real: -0.009115 Loss_D_fake 0.013030
[1124/5000][265/535][115923] Loss_D: -0.021196 Loss_G: 0.010746 Loss_D_real: -0.017015 Loss_D_fake 0.004181
[1124/5000][270/535][115924] Loss_D: -0.022195 Loss_G: 0.006476 Loss_D_real: -0.025646 Loss_D_fake -0.003451
[1124/5000][275/535][115925] Loss_D: -0.022166 Loss_G: 0.008298 Loss_D_real: -0.016988 Loss_D_fake 0.005178
[1124/5000][280/535][115926] Loss_D: -0.021973 Loss_G: 0.009163 Loss_D_real: -0.016574 Loss_D_fake 0.005399
[1124/5000][285/535][115927] Loss_D: -0.021144 Loss_G: 0.009299 Loss_D_real: -0.016640 Loss_D_fake 0.004504
[1124/5000][290/535][115928] Loss_D: -0.021333 Loss_G: 0.003550 Loss_D_real: -0.010902 Loss_D_fake 0.010431
[1124/5000][295/535][115929] Loss_D: -0.020152 Loss_G: 0.025999 Loss_D_real: -0.017571 Loss_D_fake 0.002581
[1124/5000][300/535][115930] Loss_D: -0.020181 Loss_G: 0.016228 Loss_D_real: -0.021747 Loss_D_fake -0.001566
[1124/5000][305/535][115931] Loss_D: -0.021720 Loss_G: 0.009796 Loss_D_real: -0.020054 Loss_D_fake 0.001666
[1124/5000][310/535][115932] Loss_D: -0.021496 Loss_G: 0.000430 Loss_D_real: -0.009429 Loss_D_fake 0.012066
[1124/5000][315/535][115933] Loss_D: -0.020745 Loss_G: 0.024418 Loss_D_real: -0.027324 Loss_D_fake -0.006579
[1124/5000][320/535][115934] Loss_D: -0.019440 Loss_G: -0.026514 Loss_D_real: -0.002820 Loss_D_fake 0.016621
[1124/5000][325/535][115935] Loss_D: -0.020146 Loss_G: 0.014316 Loss_D_real: -0.031773 Loss_D_fake -0.011627
[1124/5000][330/535][115936] Loss_D: -0.021087 Loss_G: 0.004828 Loss_D_real: -0.010953 Loss_D_fake 0.010134
[1124/5000][335/535][115937] Loss_D: -0.022389 Loss_G: 0.006601 Loss_D_real: -0.012242 Loss_D_fake 0.010147
[1124/5000][340/535][115938] Loss_D: -0.020982 Loss_G: 0.017928 Loss_D_real: -0.019364 Loss_D_fake 0.001617
[1124/5000][345/535][115939] Loss_D: -0.021590 Loss_G: -0.004301 Loss_D_real: -0.014544 Loss_D_fake 0.007046
[1124/5000][350/535][115940] Loss_D: -0.021308 Loss_G: 0.010382 Loss_D_real: -0.020369 Loss_D_fake 0.000938
[1124/5000][355/535][115941] Loss_D: -0.021319 Loss_G: -0.001578 Loss_D_real: -0.014471 Loss_D_fake 0.006848
[1124/5000][360/535][115942] Loss_D: -0.021463 Loss_G: 0.021592 Loss_D_real: -0.020932 Loss_D_fake 0.000531
[1124/5000][365/535][115943] Loss_D: -0.021197 Loss_G: 0.010408 Loss_D_real: -0.031434 Loss_D_fake -0.010237
[1124/5000][370/535][115944] Loss_D: -0.020429 Loss_G: 0.015118 Loss_D_real: -0.026985 Loss_D_fake -0.006556
[1124/5000][375/535][115945] Loss_D: -0.021182 Loss_G: 0.001507 Loss_D_real: -0.010023 Loss_D_fake 0.011159
[1124/5000][380/535][115946] Loss_D: -0.022038 Loss_G: 0.017943 Loss_D_real: -0.009842 Loss_D_fake 0.012196
[1124/5000][385/535][115947] Loss_D: -0.020355 Loss_G: -0.009952 Loss_D_real: -0.011570 Loss_D_fake 0.008785
[1124/5000][390/535][115948] Loss_D: -0.020092 Loss_G: 0.022845 Loss_D_real: -0.026329 Loss_D_fake -0.006238
[1124/5000][395/535][115949] Loss_D: -0.018846 Loss_G: 0.022058 Loss_D_real: -0.026518 Loss_D_fake -0.007672
[1124/5000][400/535][115950] Loss_D: -0.020356 Loss_G: 0.014627 Loss_D_real: -0.018158 Loss_D_fake 0.002198
[1124/5000][405/535][115951] Loss_D: -0.021516 Loss_G: 0.004217 Loss_D_real: -0.019285 Loss_D_fake 0.002231
[1124/5000][410/535][115952] Loss_D: -0.020295 Loss_G: 0.001276 Loss_D_real: -0.027863 Loss_D_fake -0.007567
[1124/5000][415/535][115953] Loss_D: -0.020518 Loss_G: 0.006291 Loss_D_real: -0.024567 Loss_D_fake -0.004049
[1124/5000][420/535][115954] Loss_D: -0.022234 Loss_G: 0.017921 Loss_D_real: -0.012796 Loss_D_fake 0.009438
[1124/5000][425/535][115955] Loss_D: -0.021631 Loss_G: 0.012039 Loss_D_real: -0.021707 Loss_D_fake -0.000077
[1124/5000][430/535][115956] Loss_D: -0.021330 Loss_G: 0.004245 Loss_D_real: -0.025500 Loss_D_fake -0.004171
[1124/5000][435/535][115957] Loss_D: -0.021318 Loss_G: 0.016703 Loss_D_real: -0.025705 Loss_D_fake -0.004387
[1124/5000][440/535][115958] Loss_D: -0.021621 Loss_G: 0.003155 Loss_D_real: -0.013486 Loss_D_fake 0.008135
[1124/5000][445/535][115959] Loss_D: -0.020249 Loss_G: 0.028790 Loss_D_real: -0.030934 Loss_D_fake -0.010685
[1124/5000][450/535][115960] Loss_D: -0.021240 Loss_G: 0.008111 Loss_D_real: -0.022972 Loss_D_fake -0.001732
[1124/5000][455/535][115961] Loss_D: -0.021480 Loss_G: 0.005369 Loss_D_real: -0.012915 Loss_D_fake 0.008565
[1124/5000][460/535][115962] Loss_D: -0.021165 Loss_G: 0.026380 Loss_D_real: -0.025940 Loss_D_fake -0.004775
[1124/5000][465/535][115963] Loss_D: -0.021134 Loss_G: 0.000762 Loss_D_real: -0.008219 Loss_D_fake 0.012914
[1124/5000][470/535][115964] Loss_D: -0.020391 Loss_G: 0.002456 Loss_D_real: -0.007712 Loss_D_fake 0.012679
[1124/5000][475/535][115965] Loss_D: -0.020254 Loss_G: 0.016253 Loss_D_real: -0.021384 Loss_D_fake -0.001131
[1124/5000][480/535][115966] Loss_D: -0.022261 Loss_G: -0.008087 Loss_D_real: -0.012546 Loss_D_fake 0.009714
[1124/5000][485/535][115967] Loss_D: -0.018348 Loss_G: 0.034511 Loss_D_real: -0.038280 Loss_D_fake -0.019931
[1124/5000][490/535][115968] Loss_D: -0.020655 Loss_G: 0.001985 Loss_D_real: -0.017789 Loss_D_fake 0.002865
[1124/5000][495/535][115969] Loss_D: -0.020978 Loss_G: 0.022770 Loss_D_real: -0.013920 Loss_D_fake 0.007058
[1124/5000][500/535][115970] Loss_D: -0.020233 Loss_G: 0.015565 Loss_D_real: -0.028083 Loss_D_fake -0.007850
[1124/5000][505/535][115971] Loss_D: -0.020720 Loss_G: -0.009575 Loss_D_real: -0.008550 Loss_D_fake 0.012170
[1124/5000][510/535][115972] Loss_D: -0.021854 Loss_G: 0.003489 Loss_D_real: -0.000968 Loss_D_fake 0.020886
[1124/5000][515/535][115973] Loss_D: -0.020524 Loss_G: -0.006320 Loss_D_real: -0.008250 Loss_D_fake 0.012274
[1124/5000][520/535][115974] Loss_D: -0.020220 Loss_G: 0.021483 Loss_D_real: -0.027032 Loss_D_fake -0.006812
[1124/5000][525/535][115975] Loss_D: -0.020351 Loss_G: -0.002697 Loss_D_real: -0.010970 Loss_D_fake 0.009380
[1124/5000][530/535][115976] Loss_D: -0.020889 Loss_G: 0.004771 Loss_D_real: -0.011283 Loss_D_fake 0.009606
[1124/5000][535/535][115977] Loss_D: -0.018480 Loss_G: -0.005303 Loss_D_real: -0.007172 Loss_D_fake 0.011308
[1125/5000][5/535][115978] Loss_D: -0.021403 Loss_G: -0.010475 Loss_D_real: -0.001826 Loss_D_fake 0.019576
[1125/5000][10/535][115979] Loss_D: -0.020556 Loss_G: 0.007644 Loss_D_real: -0.018758 Loss_D_fake 0.001798
[1125/5000][15/535][115980] Loss_D: -0.020118 Loss_G: 0.008333 Loss_D_real: -0.027445 Loss_D_fake -0.007327
[1125/5000][20/535][115981] Loss_D: -0.020541 Loss_G: 0.016125 Loss_D_real: -0.026216 Loss_D_fake -0.005675
[1125/5000][25/535][115982] Loss_D: -0.021613 Loss_G: 0.006319 Loss_D_real: -0.008593 Loss_D_fake 0.013020
[1125/5000][30/535][115983] Loss_D: -0.020470 Loss_G: -0.004256 Loss_D_real: -0.005590 Loss_D_fake 0.014880
[1125/5000][35/535][115984] Loss_D: -0.021134 Loss_G: 0.010395 Loss_D_real: -0.016279 Loss_D_fake 0.004855
[1125/5000][40/535][115985] Loss_D: -0.021861 Loss_G: -0.012918 Loss_D_real: -0.007943 Loss_D_fake 0.013917
[1125/5000][45/535][115986] Loss_D: -0.021712 Loss_G: 0.004667 Loss_D_real: -0.009659 Loss_D_fake 0.012053
[1125/5000][50/535][115987] Loss_D: -0.022113 Loss_G: 0.011425 Loss_D_real: -0.027475 Loss_D_fake -0.005362
[1125/5000][55/535][115988] Loss_D: -0.020414 Loss_G: 0.017996 Loss_D_real: -0.029519 Loss_D_fake -0.009105
[1125/5000][60/535][115989] Loss_D: -0.021135 Loss_G: 0.023142 Loss_D_real: -0.029243 Loss_D_fake -0.008108
[1125/5000][65/535][115990] Loss_D: -0.020438 Loss_G: 0.002994 Loss_D_real: -0.020060 Loss_D_fake 0.000378
[1125/5000][70/535][115991] Loss_D: -0.021952 Loss_G: -0.009375 Loss_D_real: -0.015585 Loss_D_fake 0.006367
[1125/5000][75/535][115992] Loss_D: -0.022100 Loss_G: 0.007298 Loss_D_real: -0.013672 Loss_D_fake 0.008428
[1125/5000][80/535][115993] Loss_D: -0.021506 Loss_G: 0.002006 Loss_D_real: -0.012472 Loss_D_fake 0.009034
[1125/5000][85/535][115994] Loss_D: -0.020516 Loss_G: 0.025348 Loss_D_real: -0.025755 Loss_D_fake -0.005239
[1125/5000][90/535][115995] Loss_D: -0.018980 Loss_G: -0.015019 Loss_D_real: -0.004875 Loss_D_fake 0.014104
[1125/5000][95/535][115996] Loss_D: -0.021052 Loss_G: 0.013520 Loss_D_real: -0.023907 Loss_D_fake -0.002855
[1125/5000][100/535][115997] Loss_D: -0.020683 Loss_G: 0.009523 Loss_D_real: -0.018210 Loss_D_fake 0.002472
[1125/5000][105/535][115998] Loss_D: -0.020067 Loss_G: 0.010504 Loss_D_real: -0.021132 Loss_D_fake -0.001065
[1125/5000][110/535][115999] Loss_D: -0.020331 Loss_G: 0.012810 Loss_D_real: -0.020670 Loss_D_fake -0.000339
[1125/5000][115/535][116000] Loss_D: -0.021334 Loss_G: 0.002237 Loss_D_real: -0.007734 Loss_D_fake 0.013600
[1125/5000][215/535][116001] Loss_D: -0.025129 Loss_G: 0.023753 Loss_D_real: -0.029959 Loss_D_fake -0.004831
[1125/5000][220/535][116002] Loss_D: -0.019678 Loss_G: 0.009271 Loss_D_real: -0.015417 Loss_D_fake 0.004261
[1125/5000][225/535][116003] Loss_D: -0.019752 Loss_G: -0.004412 Loss_D_real: -0.007371 Loss_D_fake 0.012381
[1125/5000][230/535][116004] Loss_D: -0.019296 Loss_G: 0.015901 Loss_D_real: -0.011232 Loss_D_fake 0.008064
[1125/5000][235/535][116005] Loss_D: -0.018672 Loss_G: 0.027053 Loss_D_real: -0.028101 Loss_D_fake -0.009429
[1125/5000][240/535][116006] Loss_D: -0.021196 Loss_G: 0.003866 Loss_D_real: -0.019419 Loss_D_fake 0.001776
[1125/5000][245/535][116007] Loss_D: -0.018591 Loss_G: 0.002033 Loss_D_real: -0.025697 Loss_D_fake -0.007107
[1125/5000][250/535][116008] Loss_D: -0.019984 Loss_G: 0.022009 Loss_D_real: -0.028216 Loss_D_fake -0.008232
[1125/5000][255/535][116009] Loss_D: -0.018650 Loss_G: -0.001922 Loss_D_real: -0.011686 Loss_D_fake 0.006964
[1125/5000][260/535][116010] Loss_D: -0.019973 Loss_G: -0.009432 Loss_D_real: -0.005667 Loss_D_fake 0.014307
[1125/5000][265/535][116011] Loss_D: -0.020816 Loss_G: -0.000274 Loss_D_real: -0.014217 Loss_D_fake 0.006599
[1125/5000][270/535][116012] Loss_D: -0.020820 Loss_G: -0.002360 Loss_D_real: -0.003149 Loss_D_fake 0.017671
[1125/5000][275/535][116013] Loss_D: -0.020386 Loss_G: -0.005783 Loss_D_real: 0.009878 Loss_D_fake 0.030264
[1125/5000][280/535][116014] Loss_D: -0.019790 Loss_G: 0.004512 Loss_D_real: -0.019055 Loss_D_fake 0.000735
[1125/5000][285/535][116015] Loss_D: -0.020270 Loss_G: 0.005138 Loss_D_real: -0.010617 Loss_D_fake 0.009653
[1125/5000][290/535][116016] Loss_D: -0.020131 Loss_G: 0.004080 Loss_D_real: -0.016012 Loss_D_fake 0.004119
[1125/5000][295/535][116017] Loss_D: -0.021240 Loss_G: 0.013866 Loss_D_real: -0.023513 Loss_D_fake -0.002274
[1125/5000][300/535][116018] Loss_D: -0.021568 Loss_G: 0.027992 Loss_D_real: -0.023841 Loss_D_fake -0.002272
[1125/5000][305/535][116019] Loss_D: -0.022260 Loss_G: -0.001148 Loss_D_real: -0.012825 Loss_D_fake 0.009435
[1125/5000][310/535][116020] Loss_D: -0.020745 Loss_G: 0.007086 Loss_D_real: -0.015598 Loss_D_fake 0.005147
[1125/5000][315/535][116021] Loss_D: -0.020928 Loss_G: 0.003701 Loss_D_real: -0.020227 Loss_D_fake 0.000700
[1125/5000][320/535][116022] Loss_D: -0.021662 Loss_G: -0.003432 Loss_D_real: -0.002420 Loss_D_fake 0.019242
[1125/5000][325/535][116023] Loss_D: -0.022557 Loss_G: 0.008320 Loss_D_real: -0.026096 Loss_D_fake -0.003539
[1125/5000][330/535][116024] Loss_D: -0.021097 Loss_G: 0.017666 Loss_D_real: -0.027497 Loss_D_fake -0.006400
[1125/5000][335/535][116025] Loss_D: -0.020782 Loss_G: -0.000676 Loss_D_real: -0.004380 Loss_D_fake 0.016401
[1125/5000][340/535][116026] Loss_D: -0.020791 Loss_G: 0.023034 Loss_D_real: -0.033432 Loss_D_fake -0.012640
[1125/5000][345/535][116027] Loss_D: -0.020006 Loss_G: 0.022753 Loss_D_real: -0.017988 Loss_D_fake 0.002018
[1125/5000][350/535][116028] Loss_D: -0.020882 Loss_G: 0.014594 Loss_D_real: -0.022204 Loss_D_fake -0.001322
[1125/5000][355/535][116029] Loss_D: -0.020928 Loss_G: 0.010652 Loss_D_real: -0.013301 Loss_D_fake 0.007627
[1125/5000][360/535][116030] Loss_D: -0.019948 Loss_G: 0.017443 Loss_D_real: -0.026852 Loss_D_fake -0.006904
[1125/5000][365/535][116031] Loss_D: -0.021447 Loss_G: -0.005021 Loss_D_real: -0.005647 Loss_D_fake 0.015800
[1125/5000][370/535][116032] Loss_D: -0.022414 Loss_G: 0.005250 Loss_D_real: -0.015856 Loss_D_fake 0.006558
[1125/5000][375/535][116033] Loss_D: -0.020823 Loss_G: 0.016297 Loss_D_real: -0.028574 Loss_D_fake -0.007750
[1125/5000][380/535][116034] Loss_D: -0.020541 Loss_G: 0.000531 Loss_D_real: -0.009812 Loss_D_fake 0.010729
[1125/5000][385/535][116035] Loss_D: -0.019935 Loss_G: 0.028048 Loss_D_real: -0.026579 Loss_D_fake -0.006644
[1125/5000][390/535][116036] Loss_D: -0.020446 Loss_G: 0.000419 Loss_D_real: -0.015616 Loss_D_fake 0.004830
[1125/5000][395/535][116037] Loss_D: -0.021556 Loss_G: 0.011377 Loss_D_real: -0.014751 Loss_D_fake 0.006805
[1125/5000][400/535][116038] Loss_D: -0.021532 Loss_G: 0.009985 Loss_D_real: -0.012990 Loss_D_fake 0.008542
[1125/5000][405/535][116039] Loss_D: -0.022247 Loss_G: 0.009440 Loss_D_real: -0.020086 Loss_D_fake 0.002161
[1125/5000][410/535][116040] Loss_D: -0.022019 Loss_G: 0.009473 Loss_D_real: -0.029048 Loss_D_fake -0.007029
[1125/5000][415/535][116041] Loss_D: -0.022669 Loss_G: 0.012303 Loss_D_real: -0.032116 Loss_D_fake -0.009447
[1125/5000][420/535][116042] Loss_D: -0.020893 Loss_G: 0.021697 Loss_D_real: -0.018637 Loss_D_fake 0.002257
[1125/5000][425/535][116043] Loss_D: -0.020607 Loss_G: -0.006854 Loss_D_real: -0.005798 Loss_D_fake 0.014809
[1125/5000][430/535][116044] Loss_D: -0.021046 Loss_G: 0.003058 Loss_D_real: -0.010015 Loss_D_fake 0.011031
[1125/5000][435/535][116045] Loss_D: -0.020698 Loss_G: 0.028620 Loss_D_real: -0.025852 Loss_D_fake -0.005154
[1125/5000][440/535][116046] Loss_D: -0.022969 Loss_G: 0.008893 Loss_D_real: -0.023661 Loss_D_fake -0.000692
[1125/5000][445/535][116047] Loss_D: -0.021186 Loss_G: 0.008084 Loss_D_real: -0.024427 Loss_D_fake -0.003241
[1125/5000][450/535][116048] Loss_D: -0.023211 Loss_G: 0.006930 Loss_D_real: -0.023909 Loss_D_fake -0.000698
[1125/5000][455/535][116049] Loss_D: -0.021948 Loss_G: 0.027313 Loss_D_real: -0.027184 Loss_D_fake -0.005236
[1125/5000][460/535][116050] Loss_D: -0.019911 Loss_G: 0.015995 Loss_D_real: -0.027707 Loss_D_fake -0.007796
[1125/5000][465/535][116051] Loss_D: -0.021612 Loss_G: 0.011491 Loss_D_real: -0.024791 Loss_D_fake -0.003179
[1125/5000][470/535][116052] Loss_D: -0.021513 Loss_G: 0.009512 Loss_D_real: -0.018194 Loss_D_fake 0.003320
[1125/5000][475/535][116053] Loss_D: -0.019870 Loss_G: 0.018223 Loss_D_real: -0.035313 Loss_D_fake -0.015442
[1125/5000][480/535][116054] Loss_D: -0.021020 Loss_G: 0.009690 Loss_D_real: -0.014270 Loss_D_fake 0.006750
[1125/5000][485/535][116055] Loss_D: -0.023052 Loss_G: 0.012005 Loss_D_real: -0.018960 Loss_D_fake 0.004092
[1125/5000][490/535][116056] Loss_D: -0.020569 Loss_G: 0.019802 Loss_D_real: -0.035449 Loss_D_fake -0.014881
[1125/5000][495/535][116057] Loss_D: -0.022740 Loss_G: 0.008550 Loss_D_real: -0.018172 Loss_D_fake 0.004567
[1125/5000][500/535][116058] Loss_D: -0.021695 Loss_G: -0.014988 Loss_D_real: -0.003105 Loss_D_fake 0.018589
[1125/5000][505/535][116059] Loss_D: -0.020629 Loss_G: 0.016054 Loss_D_real: -0.033651 Loss_D_fake -0.013023
[1125/5000][510/535][116060] Loss_D: -0.021281 Loss_G: 0.012256 Loss_D_real: -0.023379 Loss_D_fake -0.002098
[1125/5000][515/535][116061] Loss_D: -0.021694 Loss_G: 0.002807 Loss_D_real: -0.024440 Loss_D_fake -0.002746
[1125/5000][520/535][116062] Loss_D: -0.021682 Loss_G: 0.006178 Loss_D_real: -0.011912 Loss_D_fake 0.009770
[1125/5000][525/535][116063] Loss_D: -0.020691 Loss_G: 0.025102 Loss_D_real: -0.020361 Loss_D_fake 0.000330
[1125/5000][530/535][116064] Loss_D: -0.021557 Loss_G: 0.004751 Loss_D_real: -0.015683 Loss_D_fake 0.005874
[1125/5000][535/535][116065] Loss_D: -0.022143 Loss_G: -0.012158 Loss_D_real: -0.011570 Loss_D_fake 0.010573
[1126/5000][5/535][116066] Loss_D: -0.020420 Loss_G: 0.016440 Loss_D_real: -0.023515 Loss_D_fake -0.003095
[1126/5000][10/535][116067] Loss_D: -0.021424 Loss_G: 0.014061 Loss_D_real: -0.016418 Loss_D_fake 0.005006
[1126/5000][15/535][116068] Loss_D: -0.020745 Loss_G: -0.003690 Loss_D_real: -0.011761 Loss_D_fake 0.008984
[1126/5000][20/535][116069] Loss_D: -0.020797 Loss_G: 0.001834 Loss_D_real: -0.024468 Loss_D_fake -0.003670
[1126/5000][25/535][116070] Loss_D: -0.021083 Loss_G: -0.000130 Loss_D_real: -0.021821 Loss_D_fake -0.000737
[1126/5000][30/535][116071] Loss_D: -0.021672 Loss_G: -0.000179 Loss_D_real: 0.003760 Loss_D_fake 0.025432
[1126/5000][35/535][116072] Loss_D: -0.021202 Loss_G: 0.014720 Loss_D_real: -0.021063 Loss_D_fake 0.000138
[1126/5000][40/535][116073] Loss_D: -0.021719 Loss_G: 0.016895 Loss_D_real: -0.030773 Loss_D_fake -0.009053
[1126/5000][45/535][116074] Loss_D: -0.021877 Loss_G: 0.003381 Loss_D_real: -0.010938 Loss_D_fake 0.010939
[1126/5000][50/535][116075] Loss_D: -0.022495 Loss_G: 0.006358 Loss_D_real: -0.021123 Loss_D_fake 0.001373
[1126/5000][55/535][116076] Loss_D: -0.020386 Loss_G: 0.020999 Loss_D_real: -0.020739 Loss_D_fake -0.000354
[1126/5000][60/535][116077] Loss_D: -0.020243 Loss_G: 0.008644 Loss_D_real: -0.022703 Loss_D_fake -0.002460
[1126/5000][65/535][116078] Loss_D: -0.021260 Loss_G: 0.004721 Loss_D_real: -0.004587 Loss_D_fake 0.016673
[1126/5000][70/535][116079] Loss_D: -0.019993 Loss_G: -0.005297 Loss_D_real: -0.006970 Loss_D_fake 0.013023
[1126/5000][75/535][116080] Loss_D: -0.020331 Loss_G: 0.012181 Loss_D_real: -0.009399 Loss_D_fake 0.010932
[1126/5000][80/535][116081] Loss_D: -0.021221 Loss_G: 0.017410 Loss_D_real: -0.026014 Loss_D_fake -0.004793
[1126/5000][85/535][116082] Loss_D: -0.021454 Loss_G: 0.012182 Loss_D_real: -0.023519 Loss_D_fake -0.002065
[1126/5000][90/535][116083] Loss_D: -0.021332 Loss_G: -0.000061 Loss_D_real: -0.004557 Loss_D_fake 0.016774
[1126/5000][95/535][116084] Loss_D: -0.021488 Loss_G: -0.011521 Loss_D_real: -0.014178 Loss_D_fake 0.007310
[1126/5000][100/535][116085] Loss_D: -0.020196 Loss_G: 0.017448 Loss_D_real: -0.016876 Loss_D_fake 0.003319
[1126/5000][105/535][116086] Loss_D: -0.021182 Loss_G: 0.019681 Loss_D_real: -0.023664 Loss_D_fake -0.002482
[1126/5000][110/535][116087] Loss_D: -0.020395 Loss_G: -0.001725 Loss_D_real: -0.005046 Loss_D_fake 0.015348
[1126/5000][115/535][116088] Loss_D: -0.019649 Loss_G: 0.003906 Loss_D_real: -0.012386 Loss_D_fake 0.007264
[1126/5000][120/535][116089] Loss_D: -0.021859 Loss_G: 0.014902 Loss_D_real: -0.013737 Loss_D_fake 0.008122
[1126/5000][125/535][116090] Loss_D: -0.020406 Loss_G: -0.002594 Loss_D_real: -0.007115 Loss_D_fake 0.013291
[1126/5000][130/535][116091] Loss_D: -0.021236 Loss_G: 0.002633 Loss_D_real: -0.009987 Loss_D_fake 0.011249
[1126/5000][135/535][116092] Loss_D: -0.021071 Loss_G: -0.000322 Loss_D_real: -0.019203 Loss_D_fake 0.001868
[1126/5000][140/535][116093] Loss_D: -0.019530 Loss_G: 0.019321 Loss_D_real: -0.017229 Loss_D_fake 0.002302
[1126/5000][145/535][116094] Loss_D: -0.021263 Loss_G: 0.006706 Loss_D_real: -0.023171 Loss_D_fake -0.001908
[1126/5000][150/535][116095] Loss_D: -0.020874 Loss_G: -0.006542 Loss_D_real: -0.007153 Loss_D_fake 0.013722
[1126/5000][155/535][116096] Loss_D: -0.021787 Loss_G: 0.008490 Loss_D_real: -0.014217 Loss_D_fake 0.007570
[1126/5000][160/535][116097] Loss_D: -0.021781 Loss_G: -0.007475 Loss_D_real: -0.002173 Loss_D_fake 0.019608
[1126/5000][165/535][116098] Loss_D: -0.022723 Loss_G: 0.026245 Loss_D_real: -0.018385 Loss_D_fake 0.004339
[1126/5000][170/535][116099] Loss_D: -0.021246 Loss_G: 0.005474 Loss_D_real: -0.015452 Loss_D_fake 0.005794
[1126/5000][175/535][116100] Loss_D: -0.021218 Loss_G: -0.005729 Loss_D_real: -0.005355 Loss_D_fake 0.015864
[1126/5000][180/535][116101] Loss_D: -0.019751 Loss_G: 0.023751 Loss_D_real: -0.036845 Loss_D_fake -0.017094
[1126/5000][185/535][116102] Loss_D: -0.020339 Loss_G: 0.032868 Loss_D_real: -0.027402 Loss_D_fake -0.007064
[1126/5000][190/535][116103] Loss_D: -0.020979 Loss_G: 0.029564 Loss_D_real: -0.029911 Loss_D_fake -0.008933
[1126/5000][195/535][116104] Loss_D: -0.021261 Loss_G: -0.006093 Loss_D_real: -0.009076 Loss_D_fake 0.012185
[1126/5000][200/535][116105] Loss_D: -0.020170 Loss_G: 0.020499 Loss_D_real: -0.025940 Loss_D_fake -0.005770
[1126/5000][205/535][116106] Loss_D: -0.021277 Loss_G: 0.000115 Loss_D_real: -0.011071 Loss_D_fake 0.010206
[1126/5000][210/535][116107] Loss_D: -0.020700 Loss_G: 0.002627 Loss_D_real: -0.008256 Loss_D_fake 0.012444
[1126/5000][215/535][116108] Loss_D: -0.020410 Loss_G: 0.009110 Loss_D_real: -0.020011 Loss_D_fake 0.000398
[1126/5000][220/535][116109] Loss_D: -0.021838 Loss_G: -0.006470 Loss_D_real: -0.017409 Loss_D_fake 0.004429
[1126/5000][225/535][116110] Loss_D: -0.021657 Loss_G: 0.022856 Loss_D_real: -0.024607 Loss_D_fake -0.002950
[1126/5000][230/535][116111] Loss_D: -0.021527 Loss_G: -0.003266 Loss_D_real: -0.011220 Loss_D_fake 0.010307
[1126/5000][235/535][116112] Loss_D: -0.022733 Loss_G: 0.007813 Loss_D_real: -0.025123 Loss_D_fake -0.002390
[1126/5000][240/535][116113] Loss_D: -0.021068 Loss_G: 0.019158 Loss_D_real: -0.024687 Loss_D_fake -0.003619
[1126/5000][245/535][116114] Loss_D: -0.022041 Loss_G: -0.006264 Loss_D_real: -0.010119 Loss_D_fake 0.011922
[1126/5000][250/535][116115] Loss_D: -0.020423 Loss_G: 0.029348 Loss_D_real: -0.017167 Loss_D_fake 0.003256
[1126/5000][255/535][116116] Loss_D: -0.020278 Loss_G: 0.010049 Loss_D_real: -0.025752 Loss_D_fake -0.005474
[1126/5000][260/535][116117] Loss_D: -0.021088 Loss_G: 0.000051 Loss_D_real: -0.013548 Loss_D_fake 0.007540
[1126/5000][265/535][116118] Loss_D: -0.020573 Loss_G: 0.014981 Loss_D_real: -0.029922 Loss_D_fake -0.009349
[1126/5000][270/535][116119] Loss_D: -0.022989 Loss_G: 0.002276 Loss_D_real: -0.022700 Loss_D_fake 0.000289
[1126/5000][275/535][116120] Loss_D: -0.021675 Loss_G: -0.001680 Loss_D_real: -0.015425 Loss_D_fake 0.006250
[1126/5000][280/535][116121] Loss_D: -0.021633 Loss_G: 0.009217 Loss_D_real: -0.022366 Loss_D_fake -0.000733
[1126/5000][285/535][116122] Loss_D: -0.022124 Loss_G: -0.002342 Loss_D_real: -0.005203 Loss_D_fake 0.016921
[1126/5000][290/535][116123] Loss_D: -0.020115 Loss_G: 0.025919 Loss_D_real: -0.031651 Loss_D_fake -0.011536
[1126/5000][295/535][116124] Loss_D: -0.020613 Loss_G: 0.007668 Loss_D_real: -0.014534 Loss_D_fake 0.006079
[1126/5000][300/535][116125] Loss_D: -0.021903 Loss_G: 0.005063 Loss_D_real: -0.021341 Loss_D_fake 0.000562
[1126/5000][305/535][116126] Loss_D: -0.020659 Loss_G: 0.019410 Loss_D_real: -0.032408 Loss_D_fake -0.011749
[1126/5000][310/535][116127] Loss_D: -0.019723 Loss_G: -0.014384 Loss_D_real: -0.007869 Loss_D_fake 0.011854
[1126/5000][315/535][116128] Loss_D: -0.021963 Loss_G: -0.005066 Loss_D_real: -0.002991 Loss_D_fake 0.018971
[1126/5000][320/535][116129] Loss_D: -0.022439 Loss_G: 0.025898 Loss_D_real: -0.025241 Loss_D_fake -0.002802
[1126/5000][325/535][116130] Loss_D: -0.021639 Loss_G: -0.001715 Loss_D_real: -0.016049 Loss_D_fake 0.005590
[1126/5000][330/535][116131] Loss_D: -0.020969 Loss_G: -0.009683 Loss_D_real: -0.018420 Loss_D_fake 0.002549
[1126/5000][335/535][116132] Loss_D: -0.021308 Loss_G: 0.006707 Loss_D_real: -0.018125 Loss_D_fake 0.003183
[1126/5000][340/535][116133] Loss_D: -0.022000 Loss_G: 0.007779 Loss_D_real: -0.016187 Loss_D_fake 0.005812
[1126/5000][345/535][116134] Loss_D: -0.021105 Loss_G: 0.010773 Loss_D_real: -0.033656 Loss_D_fake -0.012551
[1126/5000][350/535][116135] Loss_D: -0.020463 Loss_G: -0.000905 Loss_D_real: -0.019408 Loss_D_fake 0.001056
[1126/5000][355/535][116136] Loss_D: -0.021208 Loss_G: 0.014526 Loss_D_real: -0.032322 Loss_D_fake -0.011114
[1126/5000][360/535][116137] Loss_D: -0.020404 Loss_G: 0.011077 Loss_D_real: -0.024586 Loss_D_fake -0.004182
[1126/5000][365/535][116138] Loss_D: -0.021399 Loss_G: 0.007431 Loss_D_real: -0.022559 Loss_D_fake -0.001161
[1126/5000][370/535][116139] Loss_D: -0.019856 Loss_G: -0.010089 Loss_D_real: -0.006949 Loss_D_fake 0.012907
[1126/5000][375/535][116140] Loss_D: -0.020816 Loss_G: 0.017947 Loss_D_real: -0.025856 Loss_D_fake -0.005040
[1126/5000][380/535][116141] Loss_D: -0.021602 Loss_G: 0.002811 Loss_D_real: -0.012110 Loss_D_fake 0.009492
[1126/5000][385/535][116142] Loss_D: -0.021307 Loss_G: 0.014366 Loss_D_real: -0.030642 Loss_D_fake -0.009335
[1126/5000][390/535][116143] Loss_D: -0.022195 Loss_G: 0.010987 Loss_D_real: -0.027701 Loss_D_fake -0.005506
[1126/5000][395/535][116144] Loss_D: -0.022300 Loss_G: -0.001996 Loss_D_real: -0.005432 Loss_D_fake 0.016867
[1126/5000][400/535][116145] Loss_D: -0.020540 Loss_G: -0.001837 Loss_D_real: 0.005367 Loss_D_fake 0.025907
[1126/5000][405/535][116146] Loss_D: -0.021612 Loss_G: 0.019887 Loss_D_real: -0.022368 Loss_D_fake -0.000756
[1126/5000][410/535][116147] Loss_D: -0.022743 Loss_G: -0.003431 Loss_D_real: 0.000630 Loss_D_fake 0.023372
[1126/5000][415/535][116148] Loss_D: -0.020627 Loss_G: 0.016613 Loss_D_real: -0.021958 Loss_D_fake -0.001331
[1126/5000][420/535][116149] Loss_D: -0.021705 Loss_G: 0.012706 Loss_D_real: -0.020698 Loss_D_fake 0.001006
[1126/5000][425/535][116150] Loss_D: -0.020591 Loss_G: 0.023286 Loss_D_real: -0.015299 Loss_D_fake 0.005293
[1126/5000][430/535][116151] Loss_D: -0.021260 Loss_G: 0.011487 Loss_D_real: -0.013115 Loss_D_fake 0.008145
[1126/5000][435/535][116152] Loss_D: -0.020145 Loss_G: 0.001666 Loss_D_real: -0.022621 Loss_D_fake -0.002476
[1126/5000][440/535][116153] Loss_D: -0.019932 Loss_G: 0.019839 Loss_D_real: -0.030313 Loss_D_fake -0.010382
[1126/5000][445/535][116154] Loss_D: -0.021007 Loss_G: 0.001859 Loss_D_real: -0.019940 Loss_D_fake 0.001068
[1126/5000][450/535][116155] Loss_D: -0.020348 Loss_G: 0.002138 Loss_D_real: -0.016332 Loss_D_fake 0.004016
[1126/5000][455/535][116156] Loss_D: -0.022973 Loss_G: 0.027513 Loss_D_real: -0.024372 Loss_D_fake -0.001399
[1126/5000][460/535][116157] Loss_D: -0.020957 Loss_G: 0.001235 Loss_D_real: -0.011524 Loss_D_fake 0.009433
[1126/5000][465/535][116158] Loss_D: -0.020943 Loss_G: 0.010802 Loss_D_real: -0.021547 Loss_D_fake -0.000603
[1126/5000][470/535][116159] Loss_D: -0.019997 Loss_G: -0.002722 Loss_D_real: -0.024800 Loss_D_fake -0.004804
[1126/5000][475/535][116160] Loss_D: -0.020881 Loss_G: 0.015726 Loss_D_real: -0.021429 Loss_D_fake -0.000548
[1126/5000][480/535][116161] Loss_D: -0.020352 Loss_G: 0.004051 Loss_D_real: -0.013964 Loss_D_fake 0.006387
[1126/5000][485/535][116162] Loss_D: -0.021845 Loss_G: 0.012659 Loss_D_real: -0.031749 Loss_D_fake -0.009904
[1126/5000][490/535][116163] Loss_D: -0.020697 Loss_G: 0.000616 Loss_D_real: -0.017986 Loss_D_fake 0.002712
[1126/5000][495/535][116164] Loss_D: -0.021561 Loss_G: -0.001756 Loss_D_real: -0.024932 Loss_D_fake -0.003370
[1126/5000][500/535][116165] Loss_D: -0.022463 Loss_G: 0.012272 Loss_D_real: -0.012924 Loss_D_fake 0.009539
[1126/5000][505/535][116166] Loss_D: -0.021710 Loss_G: -0.003031 Loss_D_real: -0.010719 Loss_D_fake 0.010991
[1126/5000][510/535][116167] Loss_D: -0.022041 Loss_G: 0.016471 Loss_D_real: -0.018924 Loss_D_fake 0.003117
[1126/5000][515/535][116168] Loss_D: -0.022373 Loss_G: 0.005293 Loss_D_real: -0.017449 Loss_D_fake 0.004924
[1126/5000][520/535][116169] Loss_D: -0.021198 Loss_G: 0.015867 Loss_D_real: -0.026754 Loss_D_fake -0.005556
[1126/5000][525/535][116170] Loss_D: -0.020980 Loss_G: -0.007205 Loss_D_real: -0.008879 Loss_D_fake 0.012100
[1126/5000][530/535][116171] Loss_D: -0.021064 Loss_G: -0.018241 Loss_D_real: -0.008706 Loss_D_fake 0.012358
[1126/5000][535/535][116172] Loss_D: -0.017280 Loss_G: -0.009544 Loss_D_real: -0.009686 Loss_D_fake 0.007594
[1127/5000][5/535][116173] Loss_D: -0.021731 Loss_G: 0.003273 Loss_D_real: -0.016654 Loss_D_fake 0.005077
[1127/5000][10/535][116174] Loss_D: -0.020426 Loss_G: 0.020262 Loss_D_real: -0.025774 Loss_D_fake -0.005348
[1127/5000][15/535][116175] Loss_D: -0.022029 Loss_G: -0.006221 Loss_D_real: -0.015180 Loss_D_fake 0.006849
[1127/5000][20/535][116176] Loss_D: -0.021022 Loss_G: 0.013922 Loss_D_real: -0.032539 Loss_D_fake -0.011517
[1127/5000][25/535][116177] Loss_D: -0.021326 Loss_G: 0.001548 Loss_D_real: -0.008068 Loss_D_fake 0.013258
[1127/5000][30/535][116178] Loss_D: -0.022268 Loss_G: 0.009757 Loss_D_real: -0.017278 Loss_D_fake 0.004989
[1127/5000][35/535][116179] Loss_D: -0.021181 Loss_G: 0.027900 Loss_D_real: -0.027759 Loss_D_fake -0.006577
[1127/5000][40/535][116180] Loss_D: -0.020559 Loss_G: 0.013229 Loss_D_real: -0.019604 Loss_D_fake 0.000956
[1127/5000][45/535][116181] Loss_D: -0.021558 Loss_G: 0.017981 Loss_D_real: -0.019660 Loss_D_fake 0.001898
[1127/5000][50/535][116182] Loss_D: -0.020267 Loss_G: 0.009380 Loss_D_real: -0.019469 Loss_D_fake 0.000798
[1127/5000][55/535][116183] Loss_D: -0.021484 Loss_G: 0.022190 Loss_D_real: -0.031450 Loss_D_fake -0.009965
[1127/5000][60/535][116184] Loss_D: -0.022408 Loss_G: 0.003638 Loss_D_real: -0.010735 Loss_D_fake 0.011673
[1127/5000][65/535][116185] Loss_D: -0.022620 Loss_G: -0.003199 Loss_D_real: -0.020125 Loss_D_fake 0.002495
[1127/5000][70/535][116186] Loss_D: -0.020905 Loss_G: 0.021169 Loss_D_real: -0.019193 Loss_D_fake 0.001712
[1127/5000][75/535][116187] Loss_D: -0.022408 Loss_G: 0.008865 Loss_D_real: -0.014982 Loss_D_fake 0.007426
[1127/5000][80/535][116188] Loss_D: -0.022124 Loss_G: -0.004775 Loss_D_real: -0.005740 Loss_D_fake 0.016384
[1127/5000][85/535][116189] Loss_D: -0.020896 Loss_G: 0.006310 Loss_D_real: -0.029637 Loss_D_fake -0.008741
[1127/5000][90/535][116190] Loss_D: -0.020225 Loss_G: 0.006762 Loss_D_real: -0.020292 Loss_D_fake -0.000067
[1127/5000][95/535][116191] Loss_D: -0.020891 Loss_G: 0.025407 Loss_D_real: -0.029696 Loss_D_fake -0.008805
[1127/5000][100/535][116192] Loss_D: -0.021564 Loss_G: -0.002524 Loss_D_real: -0.006925 Loss_D_fake 0.014639
[1127/5000][105/535][116193] Loss_D: -0.021948 Loss_G: 0.022433 Loss_D_real: -0.024493 Loss_D_fake -0.002545
[1127/5000][110/535][116194] Loss_D: -0.020329 Loss_G: 0.006161 Loss_D_real: -0.018676 Loss_D_fake 0.001653
[1127/5000][115/535][116195] Loss_D: -0.020531 Loss_G: 0.010802 Loss_D_real: -0.026404 Loss_D_fake -0.005873
[1127/5000][120/535][116196] Loss_D: -0.021405 Loss_G: 0.009948 Loss_D_real: -0.014679 Loss_D_fake 0.006726
[1127/5000][125/535][116197] Loss_D: -0.022080 Loss_G: 0.013967 Loss_D_real: -0.005089 Loss_D_fake 0.016991
[1127/5000][130/535][116198] Loss_D: -0.019920 Loss_G: 0.014708 Loss_D_real: -0.020927 Loss_D_fake -0.001007
[1127/5000][135/535][116199] Loss_D: -0.021329 Loss_G: 0.015083 Loss_D_real: -0.023766 Loss_D_fake -0.002437
[1127/5000][140/535][116200] Loss_D: -0.019272 Loss_G: -0.010498 Loss_D_real: -0.011433 Loss_D_fake 0.007839
[1127/5000][145/535][116201] Loss_D: -0.021685 Loss_G: -0.014471 Loss_D_real: -0.007545 Loss_D_fake 0.014140
[1127/5000][150/535][116202] Loss_D: -0.020944 Loss_G: 0.017100 Loss_D_real: -0.017813 Loss_D_fake 0.003131
[1127/5000][155/535][116203] Loss_D: -0.019747 Loss_G: 0.022406 Loss_D_real: -0.010276 Loss_D_fake 0.009470
[1127/5000][160/535][116204] Loss_D: -0.019716 Loss_G: 0.001936 Loss_D_real: -0.019352 Loss_D_fake 0.000364
[1127/5000][165/535][116205] Loss_D: -0.021717 Loss_G: 0.002127 Loss_D_real: -0.028674 Loss_D_fake -0.006957
[1127/5000][170/535][116206] Loss_D: -0.020596 Loss_G: 0.015888 Loss_D_real: -0.027610 Loss_D_fake -0.007014
[1127/5000][175/535][116207] Loss_D: -0.020884 Loss_G: 0.007957 Loss_D_real: -0.024367 Loss_D_fake -0.003483
[1127/5000][180/535][116208] Loss_D: -0.020227 Loss_G: 0.021223 Loss_D_real: -0.028968 Loss_D_fake -0.008741
[1127/5000][185/535][116209] Loss_D: -0.021475 Loss_G: 0.000683 Loss_D_real: -0.006277 Loss_D_fake 0.015199
[1127/5000][190/535][116210] Loss_D: -0.021262 Loss_G: 0.020072 Loss_D_real: -0.026515 Loss_D_fake -0.005253
[1127/5000][195/535][116211] Loss_D: -0.022280 Loss_G: 0.009899 Loss_D_real: -0.016458 Loss_D_fake 0.005822
[1127/5000][200/535][116212] Loss_D: -0.021304 Loss_G: 0.015725 Loss_D_real: -0.006170 Loss_D_fake 0.015134
[1127/5000][205/535][116213] Loss_D: -0.021669 Loss_G: 0.017644 Loss_D_real: -0.031507 Loss_D_fake -0.009838
[1127/5000][210/535][116214] Loss_D: -0.020696 Loss_G: -0.001815 Loss_D_real: -0.006846 Loss_D_fake 0.013850
[1127/5000][215/535][116215] Loss_D: -0.020636 Loss_G: -0.007034 Loss_D_real: -0.013968 Loss_D_fake 0.006669
[1127/5000][220/535][116216] Loss_D: -0.020944 Loss_G: 0.000432 Loss_D_real: -0.007183 Loss_D_fake 0.013760
[1127/5000][225/535][116217] Loss_D: -0.020613 Loss_G: 0.023490 Loss_D_real: -0.017611 Loss_D_fake 0.003002
[1127/5000][230/535][116218] Loss_D: -0.019768 Loss_G: -0.008200 Loss_D_real: -0.002035 Loss_D_fake 0.017733
[1127/5000][235/535][116219] Loss_D: -0.021579 Loss_G: 0.004232 Loss_D_real: -0.025255 Loss_D_fake -0.003676
[1127/5000][240/535][116220] Loss_D: -0.020585 Loss_G: 0.019841 Loss_D_real: -0.022517 Loss_D_fake -0.001932
[1127/5000][245/535][116221] Loss_D: -0.021365 Loss_G: 0.007486 Loss_D_real: -0.019435 Loss_D_fake 0.001929
[1127/5000][250/535][116222] Loss_D: -0.021338 Loss_G: 0.020407 Loss_D_real: -0.019470 Loss_D_fake 0.001868
[1127/5000][255/535][116223] Loss_D: -0.019566 Loss_G: 0.014978 Loss_D_real: -0.018090 Loss_D_fake 0.001476
[1127/5000][260/535][116224] Loss_D: -0.020961 Loss_G: 0.006319 Loss_D_real: -0.015122 Loss_D_fake 0.005839
[1127/5000][265/535][116225] Loss_D: -0.020823 Loss_G: 0.000106 Loss_D_real: -0.020141 Loss_D_fake 0.000681
[1127/5000][270/535][116226] Loss_D: -0.021513 Loss_G: 0.012771 Loss_D_real: -0.016150 Loss_D_fake 0.005363
[1127/5000][275/535][116227] Loss_D: -0.021211 Loss_G: -0.009783 Loss_D_real: 0.007263 Loss_D_fake 0.028474
[1127/5000][280/535][116228] Loss_D: -0.020202 Loss_G: 0.020393 Loss_D_real: -0.033392 Loss_D_fake -0.013190
[1127/5000][285/535][116229] Loss_D: -0.022560 Loss_G: 0.009688 Loss_D_real: -0.025745 Loss_D_fake -0.003186
[1127/5000][290/535][116230] Loss_D: -0.022889 Loss_G: -0.012441 Loss_D_real: -0.003372 Loss_D_fake 0.019518
[1127/5000][295/535][116231] Loss_D: -0.021840 Loss_G: 0.000371 Loss_D_real: -0.002270 Loss_D_fake 0.019570
[1127/5000][300/535][116232] Loss_D: -0.022067 Loss_G: 0.012410 Loss_D_real: -0.015357 Loss_D_fake 0.006709
[1127/5000][305/535][116233] Loss_D: -0.022001 Loss_G: 0.012218 Loss_D_real: -0.022694 Loss_D_fake -0.000693
[1127/5000][310/535][116234] Loss_D: -0.020884 Loss_G: 0.001376 Loss_D_real: -0.017756 Loss_D_fake 0.003127
[1127/5000][315/535][116235] Loss_D: -0.020824 Loss_G: 0.016056 Loss_D_real: -0.040824 Loss_D_fake -0.020001
[1127/5000][320/535][116236] Loss_D: -0.022036 Loss_G: 0.007815 Loss_D_real: -0.012473 Loss_D_fake 0.009564
[1127/5000][325/535][116237] Loss_D: -0.021407 Loss_G: 0.008381 Loss_D_real: -0.017515 Loss_D_fake 0.003892
[1127/5000][330/535][116238] Loss_D: -0.020774 Loss_G: 0.002276 Loss_D_real: -0.008597 Loss_D_fake 0.012177
[1127/5000][335/535][116239] Loss_D: -0.020064 Loss_G: 0.013506 Loss_D_real: -0.024062 Loss_D_fake -0.003999
[1127/5000][340/535][116240] Loss_D: -0.021181 Loss_G: 0.009218 Loss_D_real: -0.022878 Loss_D_fake -0.001697
[1127/5000][345/535][116241] Loss_D: -0.021397 Loss_G: 0.000255 Loss_D_real: -0.018724 Loss_D_fake 0.002673
[1127/5000][350/535][116242] Loss_D: -0.021855 Loss_G: 0.006443 Loss_D_real: -0.021835 Loss_D_fake 0.000020
[1127/5000][355/535][116243] Loss_D: -0.021003 Loss_G: -0.015397 Loss_D_real: -0.002828 Loss_D_fake 0.018176
[1127/5000][360/535][116244] Loss_D: -0.021314 Loss_G: 0.004612 Loss_D_real: -0.019418 Loss_D_fake 0.001896
[1127/5000][365/535][116245] Loss_D: -0.022584 Loss_G: 0.019979 Loss_D_real: -0.022530 Loss_D_fake 0.000054
[1127/5000][370/535][116246] Loss_D: -0.021009 Loss_G: -0.002715 Loss_D_real: -0.020077 Loss_D_fake 0.000932
[1127/5000][375/535][116247] Loss_D: -0.021169 Loss_G: 0.016971 Loss_D_real: -0.025223 Loss_D_fake -0.004054
[1127/5000][380/535][116248] Loss_D: -0.022406 Loss_G: 0.006150 Loss_D_real: -0.010005 Loss_D_fake 0.012401
[1127/5000][385/535][116249] Loss_D: -0.021032 Loss_G: 0.011268 Loss_D_real: -0.014543 Loss_D_fake 0.006489
[1127/5000][390/535][116250] Loss_D: -0.022281 Loss_G: 0.016374 Loss_D_real: -0.024777 Loss_D_fake -0.002496
[1127/5000][395/535][116251] Loss_D: -0.021380 Loss_G: -0.000269 Loss_D_real: -0.009586 Loss_D_fake 0.011795
[1127/5000][400/535][116252] Loss_D: -0.020491 Loss_G: 0.001638 Loss_D_real: -0.008150 Loss_D_fake 0.012341
[1127/5000][405/535][116253] Loss_D: -0.021088 Loss_G: 0.007401 Loss_D_real: -0.023241 Loss_D_fake -0.002153
[1127/5000][410/535][116254] Loss_D: -0.020585 Loss_G: 0.023353 Loss_D_real: -0.032137 Loss_D_fake -0.011552
[1127/5000][415/535][116255] Loss_D: -0.020487 Loss_G: -0.012891 Loss_D_real: 0.005559 Loss_D_fake 0.026046
[1127/5000][420/535][116256] Loss_D: -0.019825 Loss_G: 0.023861 Loss_D_real: -0.029601 Loss_D_fake -0.009775
[1127/5000][425/535][116257] Loss_D: -0.021609 Loss_G: 0.003945 Loss_D_real: -0.021383 Loss_D_fake 0.000227
[1127/5000][430/535][116258] Loss_D: -0.019187 Loss_G: 0.022350 Loss_D_real: -0.029475 Loss_D_fake -0.010287
[1127/5000][435/535][116259] Loss_D: -0.019831 Loss_G: -0.004865 Loss_D_real: -0.002557 Loss_D_fake 0.017274
[1127/5000][440/535][116260] Loss_D: -0.019864 Loss_G: -0.004272 Loss_D_real: -0.007189 Loss_D_fake 0.012675
[1127/5000][445/535][116261] Loss_D: -0.022196 Loss_G: 0.015413 Loss_D_real: -0.021802 Loss_D_fake 0.000394
[1127/5000][450/535][116262] Loss_D: -0.021553 Loss_G: 0.010692 Loss_D_real: -0.017854 Loss_D_fake 0.003699
[1127/5000][455/535][116263] Loss_D: -0.021023 Loss_G: 0.003525 Loss_D_real: -0.010748 Loss_D_fake 0.010274
[1127/5000][460/535][116264] Loss_D: -0.021402 Loss_G: -0.000717 Loss_D_real: -0.008689 Loss_D_fake 0.012712
[1127/5000][465/535][116265] Loss_D: -0.021101 Loss_G: 0.000733 Loss_D_real: -0.018933 Loss_D_fake 0.002168
[1127/5000][470/535][116266] Loss_D: -0.022174 Loss_G: 0.003640 Loss_D_real: -0.024889 Loss_D_fake -0.002715
[1127/5000][475/535][116267] Loss_D: -0.021252 Loss_G: 0.009438 Loss_D_real: -0.023537 Loss_D_fake -0.002285
[1127/5000][480/535][116268] Loss_D: -0.021773 Loss_G: 0.005087 Loss_D_real: -0.012876 Loss_D_fake 0.008897
[1127/5000][485/535][116269] Loss_D: -0.022218 Loss_G: 0.005285 Loss_D_real: -0.022079 Loss_D_fake 0.000139
[1127/5000][490/535][116270] Loss_D: -0.021887 Loss_G: 0.010884 Loss_D_real: -0.031151 Loss_D_fake -0.009263
[1127/5000][495/535][116271] Loss_D: -0.019808 Loss_G: 0.021125 Loss_D_real: -0.028949 Loss_D_fake -0.009142
[1127/5000][500/535][116272] Loss_D: -0.022128 Loss_G: -0.008181 Loss_D_real: -0.023029 Loss_D_fake -0.000901
[1127/5000][505/535][116273] Loss_D: -0.021871 Loss_G: 0.023654 Loss_D_real: -0.021137 Loss_D_fake 0.000734
[1127/5000][510/535][116274] Loss_D: -0.020502 Loss_G: 0.007655 Loss_D_real: -0.011643 Loss_D_fake 0.008859
[1127/5000][515/535][116275] Loss_D: -0.020973 Loss_G: 0.014000 Loss_D_real: -0.029157 Loss_D_fake -0.008184
[1127/5000][520/535][116276] Loss_D: -0.022212 Loss_G: 0.011892 Loss_D_real: -0.013356 Loss_D_fake 0.008856
[1127/5000][525/535][116277] Loss_D: -0.021675 Loss_G: -0.005551 Loss_D_real: -0.012041 Loss_D_fake 0.009634
[1127/5000][530/535][116278] Loss_D: -0.021271 Loss_G: 0.011973 Loss_D_real: -0.023249 Loss_D_fake -0.001978
[1127/5000][535/535][116279] Loss_D: -0.021942 Loss_G: 0.021248 Loss_D_real: -0.012371 Loss_D_fake 0.009571
[1128/5000][5/535][116280] Loss_D: -0.020602 Loss_G: -0.010326 Loss_D_real: -0.018718 Loss_D_fake 0.001883
[1128/5000][10/535][116281] Loss_D: -0.021464 Loss_G: 0.002355 Loss_D_real: -0.012821 Loss_D_fake 0.008642
[1128/5000][15/535][116282] Loss_D: -0.021294 Loss_G: 0.016492 Loss_D_real: -0.012947 Loss_D_fake 0.008346
[1128/5000][20/535][116283] Loss_D: -0.020970 Loss_G: -0.006417 Loss_D_real: -0.008534 Loss_D_fake 0.012436
[1128/5000][25/535][116284] Loss_D: -0.020700 Loss_G: 0.011287 Loss_D_real: -0.014681 Loss_D_fake 0.006019
[1128/5000][30/535][116285] Loss_D: -0.020398 Loss_G: 0.022357 Loss_D_real: -0.036398 Loss_D_fake -0.016000
[1128/5000][35/535][116286] Loss_D: -0.021463 Loss_G: 0.000284 Loss_D_real: -0.004869 Loss_D_fake 0.016594
[1128/5000][40/535][116287] Loss_D: -0.020011 Loss_G: 0.013490 Loss_D_real: -0.022695 Loss_D_fake -0.002685
[1128/5000][45/535][116288] Loss_D: -0.021839 Loss_G: 0.001400 Loss_D_real: -0.019602 Loss_D_fake 0.002237
[1128/5000][50/535][116289] Loss_D: -0.022332 Loss_G: 0.013067 Loss_D_real: -0.026074 Loss_D_fake -0.003742
[1128/5000][55/535][116290] Loss_D: -0.021436 Loss_G: 0.013855 Loss_D_real: -0.016229 Loss_D_fake 0.005207
[1128/5000][60/535][116291] Loss_D: -0.021438 Loss_G: -0.005019 Loss_D_real: -0.026327 Loss_D_fake -0.004889
[1128/5000][65/535][116292] Loss_D: -0.020482 Loss_G: 0.016757 Loss_D_real: -0.016805 Loss_D_fake 0.003677
[1128/5000][70/535][116293] Loss_D: -0.021683 Loss_G: 0.016795 Loss_D_real: -0.019223 Loss_D_fake 0.002460
[1128/5000][75/535][116294] Loss_D: -0.022011 Loss_G: 0.015340 Loss_D_real: -0.019125 Loss_D_fake 0.002886
[1128/5000][80/535][116295] Loss_D: -0.021159 Loss_G: 0.010658 Loss_D_real: -0.019220 Loss_D_fake 0.001939
[1128/5000][85/535][116296] Loss_D: -0.020726 Loss_G: 0.017691 Loss_D_real: -0.017075 Loss_D_fake 0.003651
[1128/5000][90/535][116297] Loss_D: -0.020580 Loss_G: 0.017571 Loss_D_real: -0.022594 Loss_D_fake -0.002014
[1128/5000][95/535][116298] Loss_D: -0.021038 Loss_G: 0.023116 Loss_D_real: -0.032622 Loss_D_fake -0.011583
[1128/5000][100/535][116299] Loss_D: -0.021387 Loss_G: 0.013984 Loss_D_real: -0.016442 Loss_D_fake 0.004944
[1128/5000][105/535][116300] Loss_D: -0.022249 Loss_G: -0.006904 Loss_D_real: -0.014588 Loss_D_fake 0.007660
[1128/5000][110/535][116301] Loss_D: -0.020477 Loss_G: 0.003136 Loss_D_real: -0.010265 Loss_D_fake 0.010213
[1128/5000][115/535][116302] Loss_D: -0.022160 Loss_G: 0.023671 Loss_D_real: -0.009182 Loss_D_fake 0.012979
[1128/5000][120/535][116303] Loss_D: -0.019368 Loss_G: 0.029764 Loss_D_real: -0.033566 Loss_D_fake -0.014198
[1128/5000][125/535][116304] Loss_D: -0.020049 Loss_G: -0.003247 Loss_D_real: -0.005391 Loss_D_fake 0.014658
[1128/5000][130/535][116305] Loss_D: -0.021980 Loss_G: 0.006753 Loss_D_real: -0.025761 Loss_D_fake -0.003780
[1128/5000][135/535][116306] Loss_D: -0.020552 Loss_G: 0.011360 Loss_D_real: -0.015973 Loss_D_fake 0.004579
[1128/5000][140/535][116307] Loss_D: -0.021201 Loss_G: 0.004126 Loss_D_real: -0.021321 Loss_D_fake -0.000120
[1128/5000][145/535][116308] Loss_D: -0.021328 Loss_G: -0.003498 Loss_D_real: -0.023324 Loss_D_fake -0.001996
[1128/5000][150/535][116309] Loss_D: -0.020650 Loss_G: -0.003782 Loss_D_real: 0.000425 Loss_D_fake 0.021074
[1128/5000][155/535][116310] Loss_D: -0.019962 Loss_G: 0.012353 Loss_D_real: -0.016208 Loss_D_fake 0.003754
[1128/5000][160/535][116311] Loss_D: -0.021767 Loss_G: 0.011094 Loss_D_real: -0.022808 Loss_D_fake -0.001040
[1128/5000][165/535][116312] Loss_D: -0.021870 Loss_G: -0.000914 Loss_D_real: -0.006302 Loss_D_fake 0.015568
[1128/5000][170/535][116313] Loss_D: -0.020398 Loss_G: 0.018761 Loss_D_real: -0.033093 Loss_D_fake -0.012695
[1128/5000][175/535][116314] Loss_D: -0.021163 Loss_G: 0.012402 Loss_D_real: -0.009705 Loss_D_fake 0.011459
[1128/5000][180/535][116315] Loss_D: -0.019882 Loss_G: 0.017406 Loss_D_real: -0.029224 Loss_D_fake -0.009342
[1128/5000][185/535][116316] Loss_D: -0.021958 Loss_G: -0.003522 Loss_D_real: -0.012479 Loss_D_fake 0.009478
[1128/5000][190/535][116317] Loss_D: -0.020853 Loss_G: -0.013500 Loss_D_real: -0.008583 Loss_D_fake 0.012270
[1128/5000][195/535][116318] Loss_D: -0.021145 Loss_G: 0.004072 Loss_D_real: -0.010036 Loss_D_fake 0.011109
[1128/5000][200/535][116319] Loss_D: -0.021571 Loss_G: 0.001260 Loss_D_real: -0.006697 Loss_D_fake 0.014875
[1128/5000][205/535][116320] Loss_D: -0.020879 Loss_G: 0.009275 Loss_D_real: -0.022459 Loss_D_fake -0.001580
[1128/5000][210/535][116321] Loss_D: -0.021685 Loss_G: 0.013570 Loss_D_real: -0.028329 Loss_D_fake -0.006644
[1128/5000][215/535][116322] Loss_D: -0.021725 Loss_G: -0.013045 Loss_D_real: 0.004989 Loss_D_fake 0.026714
[1128/5000][220/535][116323] Loss_D: -0.021479 Loss_G: 0.002310 Loss_D_real: -0.008907 Loss_D_fake 0.012572
[1128/5000][225/535][116324] Loss_D: -0.020002 Loss_G: -0.000935 Loss_D_real: -0.004034 Loss_D_fake 0.015968
[1128/5000][230/535][116325] Loss_D: -0.019654 Loss_G: 0.023925 Loss_D_real: -0.026270 Loss_D_fake -0.006616
[1128/5000][235/535][116326] Loss_D: -0.021829 Loss_G: -0.005555 Loss_D_real: -0.017089 Loss_D_fake 0.004740
[1128/5000][240/535][116327] Loss_D: -0.019752 Loss_G: 0.013844 Loss_D_real: -0.023451 Loss_D_fake -0.003699
[1128/5000][245/535][116328] Loss_D: -0.021107 Loss_G: -0.011930 Loss_D_real: -0.000765 Loss_D_fake 0.020342
[1128/5000][250/535][116329] Loss_D: -0.019942 Loss_G: 0.021000 Loss_D_real: -0.013000 Loss_D_fake 0.006943
[1128/5000][255/535][116330] Loss_D: -0.020418 Loss_G: -0.004297 Loss_D_real: -0.003027 Loss_D_fake 0.017392
[1128/5000][260/535][116331] Loss_D: -0.021282 Loss_G: 0.003964 Loss_D_real: -0.007980 Loss_D_fake 0.013303
[1128/5000][265/535][116332] Loss_D: -0.021263 Loss_G: 0.015085 Loss_D_real: -0.014243 Loss_D_fake 0.007021
[1128/5000][270/535][116333] Loss_D: -0.020353 Loss_G: 0.016273 Loss_D_real: -0.028811 Loss_D_fake -0.008458
[1128/5000][275/535][116334] Loss_D: -0.022252 Loss_G: 0.004625 Loss_D_real: -0.025239 Loss_D_fake -0.002988
[1128/5000][280/535][116335] Loss_D: -0.020972 Loss_G: -0.006068 Loss_D_real: -0.012271 Loss_D_fake 0.008702
[1128/5000][285/535][116336] Loss_D: -0.021149 Loss_G: 0.022422 Loss_D_real: -0.014586 Loss_D_fake 0.006563
[1128/5000][290/535][116337] Loss_D: -0.022583 Loss_G: 0.011956 Loss_D_real: -0.016251 Loss_D_fake 0.006332
[1128/5000][295/535][116338] Loss_D: -0.021042 Loss_G: -0.004076 Loss_D_real: -0.014621 Loss_D_fake 0.006421
[1128/5000][300/535][116339] Loss_D: -0.021054 Loss_G: 0.015312 Loss_D_real: -0.021765 Loss_D_fake -0.000711
[1128/5000][305/535][116340] Loss_D: -0.020571 Loss_G: 0.014409 Loss_D_real: -0.016781 Loss_D_fake 0.003790
[1128/5000][310/535][116341] Loss_D: -0.020068 Loss_G: 0.015928 Loss_D_real: -0.029320 Loss_D_fake -0.009252
[1128/5000][315/535][116342] Loss_D: -0.021251 Loss_G: 0.021458 Loss_D_real: -0.017845 Loss_D_fake 0.003406
[1128/5000][320/535][116343] Loss_D: -0.019905 Loss_G: 0.025964 Loss_D_real: -0.026999 Loss_D_fake -0.007094
[1128/5000][325/535][116344] Loss_D: -0.021292 Loss_G: 0.004984 Loss_D_real: -0.018185 Loss_D_fake 0.003107
[1128/5000][330/535][116345] Loss_D: -0.020630 Loss_G: 0.003597 Loss_D_real: -0.013818 Loss_D_fake 0.006812
[1128/5000][335/535][116346] Loss_D: -0.021249 Loss_G: 0.017948 Loss_D_real: -0.023060 Loss_D_fake -0.001812
[1128/5000][340/535][116347] Loss_D: -0.019492 Loss_G: -0.010281 Loss_D_real: -0.004144 Loss_D_fake 0.015347
[1128/5000][345/535][116348] Loss_D: -0.021609 Loss_G: -0.007005 Loss_D_real: -0.005434 Loss_D_fake 0.016175
[1128/5000][350/535][116349] Loss_D: -0.021856 Loss_G: 0.008282 Loss_D_real: -0.020573 Loss_D_fake 0.001283
[1128/5000][355/535][116350] Loss_D: -0.022140 Loss_G: 0.007904 Loss_D_real: -0.013290 Loss_D_fake 0.008850
[1128/5000][360/535][116351] Loss_D: -0.020064 Loss_G: 0.022980 Loss_D_real: -0.033462 Loss_D_fake -0.013398
[1128/5000][365/535][116352] Loss_D: -0.020213 Loss_G: 0.010497 Loss_D_real: -0.030907 Loss_D_fake -0.010694
[1128/5000][370/535][116353] Loss_D: -0.020787 Loss_G: 0.019441 Loss_D_real: -0.033963 Loss_D_fake -0.013175
[1128/5000][375/535][116354] Loss_D: -0.021273 Loss_G: -0.008564 Loss_D_real: -0.011603 Loss_D_fake 0.009670
[1128/5000][380/535][116355] Loss_D: -0.020287 Loss_G: 0.019870 Loss_D_real: -0.030496 Loss_D_fake -0.010209
[1128/5000][385/535][116356] Loss_D: -0.021671 Loss_G: 0.013845 Loss_D_real: -0.021905 Loss_D_fake -0.000234
[1128/5000][390/535][116357] Loss_D: -0.020134 Loss_G: -0.008497 Loss_D_real: -0.010472 Loss_D_fake 0.009662
[1128/5000][395/535][116358] Loss_D: -0.021719 Loss_G: 0.007150 Loss_D_real: -0.016093 Loss_D_fake 0.005626
[1128/5000][400/535][116359] Loss_D: -0.023183 Loss_G: 0.015951 Loss_D_real: -0.031018 Loss_D_fake -0.007836
[1128/5000][405/535][116360] Loss_D: -0.020478 Loss_G: 0.021167 Loss_D_real: -0.024831 Loss_D_fake -0.004353
[1128/5000][410/535][116361] Loss_D: -0.021447 Loss_G: -0.006829 Loss_D_real: -0.016281 Loss_D_fake 0.005166
[1128/5000][415/535][116362] Loss_D: -0.020008 Loss_G: -0.004939 Loss_D_real: -0.003465 Loss_D_fake 0.016544
[1128/5000][420/535][116363] Loss_D: -0.019862 Loss_G: 0.001974 Loss_D_real: -0.021341 Loss_D_fake -0.001479
[1128/5000][425/535][116364] Loss_D: -0.020624 Loss_G: 0.006278 Loss_D_real: -0.025067 Loss_D_fake -0.004443
[1128/5000][430/535][116365] Loss_D: -0.021407 Loss_G: 0.010412 Loss_D_real: -0.017299 Loss_D_fake 0.004108
[1128/5000][435/535][116366] Loss_D: -0.021008 Loss_G: 0.009959 Loss_D_real: -0.035131 Loss_D_fake -0.014123
[1128/5000][440/535][116367] Loss_D: -0.021234 Loss_G: 0.024143 Loss_D_real: -0.021728 Loss_D_fake -0.000494
[1128/5000][445/535][116368] Loss_D: -0.020741 Loss_G: 0.005791 Loss_D_real: -0.025560 Loss_D_fake -0.004819
[1128/5000][450/535][116369] Loss_D: -0.022200 Loss_G: 0.006795 Loss_D_real: -0.015703 Loss_D_fake 0.006497
[1128/5000][455/535][116370] Loss_D: -0.021828 Loss_G: 0.006643 Loss_D_real: -0.003496 Loss_D_fake 0.018332
[1128/5000][460/535][116371] Loss_D: -0.020144 Loss_G: 0.031980 Loss_D_real: -0.038702 Loss_D_fake -0.018558
[1128/5000][465/535][116372] Loss_D: -0.021432 Loss_G: 0.015265 Loss_D_real: -0.019179 Loss_D_fake 0.002253
[1128/5000][470/535][116373] Loss_D: -0.021445 Loss_G: 0.004732 Loss_D_real: -0.024488 Loss_D_fake -0.003043
[1128/5000][475/535][116374] Loss_D: -0.020424 Loss_G: 0.025359 Loss_D_real: -0.022415 Loss_D_fake -0.001990
[1128/5000][480/535][116375] Loss_D: -0.020811 Loss_G: 0.005647 Loss_D_real: -0.019463 Loss_D_fake 0.001348
[1128/5000][485/535][116376] Loss_D: -0.019301 Loss_G: 0.008977 Loss_D_real: -0.025336 Loss_D_fake -0.006036
[1128/5000][490/535][116377] Loss_D: -0.021697 Loss_G: 0.005932 Loss_D_real: -0.006559 Loss_D_fake 0.015138
[1128/5000][495/535][116378] Loss_D: -0.020909 Loss_G: 0.014900 Loss_D_real: -0.016977 Loss_D_fake 0.003932
[1128/5000][500/535][116379] Loss_D: -0.020944 Loss_G: 0.000815 Loss_D_real: -0.021503 Loss_D_fake -0.000559
[1128/5000][505/535][116380] Loss_D: -0.020583 Loss_G: 0.001202 Loss_D_real: -0.031437 Loss_D_fake -0.010854
[1128/5000][510/535][116381] Loss_D: -0.021157 Loss_G: 0.010141 Loss_D_real: -0.016648 Loss_D_fake 0.004509
[1128/5000][515/535][116382] Loss_D: -0.022844 Loss_G: 0.004446 Loss_D_real: -0.014747 Loss_D_fake 0.008098
[1128/5000][520/535][116383] Loss_D: -0.021481 Loss_G: 0.008326 Loss_D_real: -0.018657 Loss_D_fake 0.002824
[1128/5000][525/535][116384] Loss_D: -0.019962 Loss_G: -0.015871 Loss_D_real: -0.001747 Loss_D_fake 0.018215
[1128/5000][530/535][116385] Loss_D: -0.020570 Loss_G: -0.005013 Loss_D_real: -0.008652 Loss_D_fake 0.011918
[1128/5000][535/535][116386] Loss_D: -0.021350 Loss_G: 0.017389 Loss_D_real: -0.011256 Loss_D_fake 0.010095
[1129/5000][5/535][116387] Loss_D: -0.023153 Loss_G: 0.005716 Loss_D_real: -0.020377 Loss_D_fake 0.002776
[1129/5000][10/535][116388] Loss_D: -0.022588 Loss_G: 0.008229 Loss_D_real: -0.012256 Loss_D_fake 0.010332
[1129/5000][15/535][116389] Loss_D: -0.020834 Loss_G: -0.013932 Loss_D_real: 0.002782 Loss_D_fake 0.023617
[1129/5000][20/535][116390] Loss_D: -0.022175 Loss_G: 0.010498 Loss_D_real: -0.024595 Loss_D_fake -0.002420
[1129/5000][25/535][116391] Loss_D: -0.021186 Loss_G: 0.019224 Loss_D_real: -0.013585 Loss_D_fake 0.007601
[1129/5000][30/535][116392] Loss_D: -0.019824 Loss_G: -0.011226 Loss_D_real: -0.010245 Loss_D_fake 0.009580
[1129/5000][35/535][116393] Loss_D: -0.022006 Loss_G: 0.010543 Loss_D_real: -0.015870 Loss_D_fake 0.006136
[1129/5000][40/535][116394] Loss_D: -0.020242 Loss_G: 0.019259 Loss_D_real: -0.027845 Loss_D_fake -0.007602
[1129/5000][45/535][116395] Loss_D: -0.020373 Loss_G: -0.007289 Loss_D_real: -0.007794 Loss_D_fake 0.012579
[1129/5000][50/535][116396] Loss_D: -0.020508 Loss_G: -0.005866 Loss_D_real: -0.003279 Loss_D_fake 0.017229
[1129/5000][55/535][116397] Loss_D: -0.021318 Loss_G: 0.015603 Loss_D_real: -0.022661 Loss_D_fake -0.001343
[1129/5000][60/535][116398] Loss_D: -0.021546 Loss_G: 0.001786 Loss_D_real: -0.010099 Loss_D_fake 0.011447
[1129/5000][65/535][116399] Loss_D: -0.020833 Loss_G: -0.007437 Loss_D_real: -0.006704 Loss_D_fake 0.014129
[1129/5000][70/535][116400] Loss_D: -0.020566 Loss_G: 0.020613 Loss_D_real: -0.024868 Loss_D_fake -0.004301
[1129/5000][75/535][116401] Loss_D: -0.019543 Loss_G: 0.022626 Loss_D_real: -0.027012 Loss_D_fake -0.007469
[1129/5000][80/535][116402] Loss_D: -0.021661 Loss_G: -0.003236 Loss_D_real: -0.010450 Loss_D_fake 0.011210
[1129/5000][85/535][116403] Loss_D: -0.020314 Loss_G: -0.000037 Loss_D_real: -0.020421 Loss_D_fake -0.000107
[1129/5000][90/535][116404] Loss_D: -0.021560 Loss_G: 0.015998 Loss_D_real: -0.017127 Loss_D_fake 0.004433
[1129/5000][95/535][116405] Loss_D: -0.019538 Loss_G: 0.033226 Loss_D_real: -0.026734 Loss_D_fake -0.007196
[1129/5000][100/535][116406] Loss_D: -0.020055 Loss_G: 0.014363 Loss_D_real: -0.019379 Loss_D_fake 0.000676
[1129/5000][105/535][116407] Loss_D: -0.021140 Loss_G: -0.004929 Loss_D_real: -0.007656 Loss_D_fake 0.013483
[1129/5000][110/535][116408] Loss_D: -0.021040 Loss_G: 0.008242 Loss_D_real: -0.015455 Loss_D_fake 0.005586
[1129/5000][115/535][116409] Loss_D: -0.020017 Loss_G: -0.014302 Loss_D_real: 0.007319 Loss_D_fake 0.027336
[1129/5000][120/535][116410] Loss_D: -0.021739 Loss_G: 0.002277 Loss_D_real: -0.017815 Loss_D_fake 0.003925
[1129/5000][125/535][116411] Loss_D: -0.022404 Loss_G: 0.004332 Loss_D_real: -0.014774 Loss_D_fake 0.007630
[1129/5000][130/535][116412] Loss_D: -0.020434 Loss_G: 0.009353 Loss_D_real: -0.023919 Loss_D_fake -0.003485
[1129/5000][135/535][116413] Loss_D: -0.021480 Loss_G: 0.010764 Loss_D_real: -0.020627 Loss_D_fake 0.000853
[1129/5000][140/535][116414] Loss_D: -0.019326 Loss_G: -0.015082 Loss_D_real: -0.002583 Loss_D_fake 0.016744
[1129/5000][145/535][116415] Loss_D: -0.020968 Loss_G: 0.019213 Loss_D_real: -0.005645 Loss_D_fake 0.015323
[1129/5000][150/535][116416] Loss_D: -0.021392 Loss_G: -0.005327 Loss_D_real: -0.001640 Loss_D_fake 0.019752
[1129/5000][155/535][116417] Loss_D: -0.019702 Loss_G: 0.015612 Loss_D_real: -0.021909 Loss_D_fake -0.002207
[1129/5000][160/535][116418] Loss_D: -0.020994 Loss_G: -0.009416 Loss_D_real: -0.010046 Loss_D_fake 0.010948
[1129/5000][165/535][116419] Loss_D: -0.020519 Loss_G: 0.001582 Loss_D_real: -0.005478 Loss_D_fake 0.015041
[1129/5000][170/535][116420] Loss_D: -0.022308 Loss_G: 0.014121 Loss_D_real: -0.028845 Loss_D_fake -0.006537
[1129/5000][175/535][116421] Loss_D: -0.020126 Loss_G: 0.005524 Loss_D_real: -0.008415 Loss_D_fake 0.011712
[1129/5000][180/535][116422] Loss_D: -0.020670 Loss_G: -0.006080 Loss_D_real: -0.013098 Loss_D_fake 0.007571
[1129/5000][185/535][116423] Loss_D: -0.021638 Loss_G: 0.000972 Loss_D_real: -0.017209 Loss_D_fake 0.004429
[1129/5000][190/535][116424] Loss_D: -0.021570 Loss_G: 0.007846 Loss_D_real: -0.011480 Loss_D_fake 0.010091
[1129/5000][195/535][116425] Loss_D: -0.020864 Loss_G: 0.006076 Loss_D_real: -0.023546 Loss_D_fake -0.002682
[1129/5000][200/535][116426] Loss_D: -0.020325 Loss_G: -0.001154 Loss_D_real: -0.012965 Loss_D_fake 0.007361
[1129/5000][205/535][116427] Loss_D: -0.020722 Loss_G: 0.007139 Loss_D_real: -0.016865 Loss_D_fake 0.003857
[1129/5000][210/535][116428] Loss_D: -0.021674 Loss_G: 0.003127 Loss_D_real: -0.015305 Loss_D_fake 0.006369
[1129/5000][215/535][116429] Loss_D: -0.021272 Loss_G: 0.013410 Loss_D_real: -0.026562 Loss_D_fake -0.005290
[1129/5000][220/535][116430] Loss_D: -0.021349 Loss_G: 0.000652 Loss_D_real: -0.014863 Loss_D_fake 0.006486
[1129/5000][225/535][116431] Loss_D: -0.020696 Loss_G: 0.001696 Loss_D_real: -0.017464 Loss_D_fake 0.003232
[1129/5000][230/535][116432] Loss_D: -0.021372 Loss_G: 0.020255 Loss_D_real: -0.025443 Loss_D_fake -0.004071
[1129/5000][235/535][116433] Loss_D: -0.021486 Loss_G: 0.002672 Loss_D_real: -0.023708 Loss_D_fake -0.002223
[1129/5000][240/535][116434] Loss_D: -0.021251 Loss_G: 0.007168 Loss_D_real: -0.015585 Loss_D_fake 0.005666
[1129/5000][245/535][116435] Loss_D: -0.021172 Loss_G: 0.030429 Loss_D_real: -0.028710 Loss_D_fake -0.007538
[1129/5000][250/535][116436] Loss_D: -0.021780 Loss_G: -0.002622 Loss_D_real: -0.008314 Loss_D_fake 0.013466
[1129/5000][255/535][116437] Loss_D: -0.021425 Loss_G: -0.009089 Loss_D_real: -0.015377 Loss_D_fake 0.006048
[1129/5000][260/535][116438] Loss_D: -0.022990 Loss_G: 0.015655 Loss_D_real: -0.026627 Loss_D_fake -0.003637
[1129/5000][265/535][116439] Loss_D: -0.020896 Loss_G: 0.018043 Loss_D_real: -0.026107 Loss_D_fake -0.005212
[1129/5000][270/535][116440] Loss_D: -0.020480 Loss_G: 0.009074 Loss_D_real: -0.020257 Loss_D_fake 0.000223
[1129/5000][275/535][116441] Loss_D: -0.021292 Loss_G: 0.017816 Loss_D_real: -0.020351 Loss_D_fake 0.000941
[1129/5000][280/535][116442] Loss_D: -0.021660 Loss_G: -0.001220 Loss_D_real: -0.005520 Loss_D_fake 0.016140
[1129/5000][285/535][116443] Loss_D: -0.020347 Loss_G: 0.003446 Loss_D_real: -0.020799 Loss_D_fake -0.000452
[1129/5000][290/535][116444] Loss_D: -0.021339 Loss_G: -0.011518 Loss_D_real: -0.001891 Loss_D_fake 0.019449
[1129/5000][295/535][116445] Loss_D: -0.021776 Loss_G: 0.004139 Loss_D_real: -0.006830 Loss_D_fake 0.014945
[1129/5000][300/535][116446] Loss_D: -0.020910 Loss_G: 0.002422 Loss_D_real: -0.004854 Loss_D_fake 0.016056
[1129/5000][305/535][116447] Loss_D: -0.020439 Loss_G: 0.012021 Loss_D_real: -0.024641 Loss_D_fake -0.004202
[1129/5000][310/535][116448] Loss_D: -0.021817 Loss_G: -0.018946 Loss_D_real: -0.004086 Loss_D_fake 0.017730
[1129/5000][315/535][116449] Loss_D: -0.020490 Loss_G: 0.013274 Loss_D_real: -0.014203 Loss_D_fake 0.006287
[1129/5000][320/535][116450] Loss_D: -0.022366 Loss_G: 0.006039 Loss_D_real: -0.010554 Loss_D_fake 0.011812
[1129/5000][325/535][116451] Loss_D: -0.020329 Loss_G: 0.003650 Loss_D_real: -0.012507 Loss_D_fake 0.007822
[1129/5000][330/535][116452] Loss_D: -0.020035 Loss_G: 0.015376 Loss_D_real: -0.033613 Loss_D_fake -0.013578
[1129/5000][335/535][116453] Loss_D: -0.021292 Loss_G: 0.006216 Loss_D_real: -0.033251 Loss_D_fake -0.011959
[1129/5000][340/535][116454] Loss_D: -0.022312 Loss_G: 0.018486 Loss_D_real: -0.010695 Loss_D_fake 0.011617
[1129/5000][345/535][116455] Loss_D: -0.021680 Loss_G: 0.001417 Loss_D_real: -0.010377 Loss_D_fake 0.011303
[1129/5000][350/535][116456] Loss_D: -0.023311 Loss_G: -0.005467 Loss_D_real: -0.003385 Loss_D_fake 0.019927
[1129/5000][355/535][116457] Loss_D: -0.021275 Loss_G: 0.007553 Loss_D_real: -0.010737 Loss_D_fake 0.010538
[1129/5000][360/535][116458] Loss_D: -0.021778 Loss_G: 0.019413 Loss_D_real: -0.021017 Loss_D_fake 0.000761
[1129/5000][365/535][116459] Loss_D: -0.020598 Loss_G: 0.028421 Loss_D_real: -0.018878 Loss_D_fake 0.001721
[1129/5000][370/535][116460] Loss_D: -0.021382 Loss_G: 0.000285 Loss_D_real: -0.019463 Loss_D_fake 0.001919
[1129/5000][375/535][116461] Loss_D: -0.020985 Loss_G: -0.020833 Loss_D_real: 0.000185 Loss_D_fake 0.021170
[1129/5000][380/535][116462] Loss_D: -0.020468 Loss_G: 0.018076 Loss_D_real: -0.032688 Loss_D_fake -0.012220
[1129/5000][385/535][116463] Loss_D: -0.020819 Loss_G: -0.011773 Loss_D_real: -0.000833 Loss_D_fake 0.019986
[1129/5000][390/535][116464] Loss_D: -0.022118 Loss_G: 0.014466 Loss_D_real: -0.015061 Loss_D_fake 0.007057
[1129/5000][395/535][116465] Loss_D: -0.020595 Loss_G: 0.018012 Loss_D_real: -0.024611 Loss_D_fake -0.004016
[1129/5000][400/535][116466] Loss_D: -0.020885 Loss_G: 0.013536 Loss_D_real: -0.026822 Loss_D_fake -0.005937
[1129/5000][405/535][116467] Loss_D: -0.021254 Loss_G: 0.005492 Loss_D_real: -0.016913 Loss_D_fake 0.004341
[1129/5000][410/535][116468] Loss_D: -0.020764 Loss_G: 0.030832 Loss_D_real: -0.027526 Loss_D_fake -0.006762
[1129/5000][415/535][116469] Loss_D: -0.020228 Loss_G: -0.005912 Loss_D_real: -0.004517 Loss_D_fake 0.015712
[1129/5000][420/535][116470] Loss_D: -0.020184 Loss_G: 0.015287 Loss_D_real: -0.036748 Loss_D_fake -0.016564
[1129/5000][425/535][116471] Loss_D: -0.021529 Loss_G: -0.000860 Loss_D_real: -0.006180 Loss_D_fake 0.015349
[1129/5000][430/535][116472] Loss_D: -0.021019 Loss_G: 0.003907 Loss_D_real: -0.014066 Loss_D_fake 0.006953
[1129/5000][435/535][116473] Loss_D: -0.020349 Loss_G: 0.022439 Loss_D_real: -0.027460 Loss_D_fake -0.007111
[1129/5000][440/535][116474] Loss_D: -0.021841 Loss_G: -0.000669 Loss_D_real: -0.023196 Loss_D_fake -0.001355
[1129/5000][445/535][116475] Loss_D: -0.020076 Loss_G: 0.020235 Loss_D_real: -0.025028 Loss_D_fake -0.004951
[1129/5000][450/535][116476] Loss_D: -0.020958 Loss_G: -0.001777 Loss_D_real: -0.020083 Loss_D_fake 0.000876
[1129/5000][455/535][116477] Loss_D: -0.020005 Loss_G: 0.002364 Loss_D_real: -0.002737 Loss_D_fake 0.017267
[1129/5000][460/535][116478] Loss_D: -0.018956 Loss_G: 0.019065 Loss_D_real: -0.024505 Loss_D_fake -0.005549
[1129/5000][465/535][116479] Loss_D: -0.020593 Loss_G: -0.002464 Loss_D_real: -0.015007 Loss_D_fake 0.005586
[1129/5000][470/535][116480] Loss_D: -0.021662 Loss_G: 0.013119 Loss_D_real: -0.012876 Loss_D_fake 0.008786
[1129/5000][475/535][116481] Loss_D: -0.021430 Loss_G: -0.011061 Loss_D_real: -0.005986 Loss_D_fake 0.015444
[1129/5000][480/535][116482] Loss_D: -0.021079 Loss_G: 0.016730 Loss_D_real: -0.019918 Loss_D_fake 0.001160
[1129/5000][485/535][116483] Loss_D: -0.019716 Loss_G: -0.017451 Loss_D_real: -0.006502 Loss_D_fake 0.013214
[1129/5000][490/535][116484] Loss_D: -0.020159 Loss_G: -0.024105 Loss_D_real: -0.003617 Loss_D_fake 0.016542
[1129/5000][495/535][116485] Loss_D: -0.020068 Loss_G: 0.033361 Loss_D_real: -0.026099 Loss_D_fake -0.006031
[1129/5000][500/535][116486] Loss_D: -0.022126 Loss_G: 0.016040 Loss_D_real: -0.014657 Loss_D_fake 0.007469
[1129/5000][505/535][116487] Loss_D: -0.020999 Loss_G: 0.012913 Loss_D_real: -0.013903 Loss_D_fake 0.007095
[1129/5000][510/535][116488] Loss_D: -0.020300 Loss_G: 0.008007 Loss_D_real: -0.012495 Loss_D_fake 0.007805
[1129/5000][515/535][116489] Loss_D: -0.021770 Loss_G: 0.001210 Loss_D_real: -0.028676 Loss_D_fake -0.006906
[1129/5000][520/535][116490] Loss_D: -0.020078 Loss_G: 0.019850 Loss_D_real: -0.015186 Loss_D_fake 0.004891
[1129/5000][525/535][116491] Loss_D: -0.020397 Loss_G: 0.011262 Loss_D_real: -0.018911 Loss_D_fake 0.001487
[1129/5000][530/535][116492] Loss_D: -0.019993 Loss_G: 0.015137 Loss_D_real: -0.022795 Loss_D_fake -0.002802
[1129/5000][535/535][116493] Loss_D: -0.019964 Loss_G: 0.015280 Loss_D_real: -0.030681 Loss_D_fake -0.010717
[1130/5000][5/535][116494] Loss_D: -0.020401 Loss_G: -0.003866 Loss_D_real: -0.015022 Loss_D_fake 0.005379
[1130/5000][10/535][116495] Loss_D: -0.021198 Loss_G: 0.001974 Loss_D_real: 0.007172 Loss_D_fake 0.028370
[1130/5000][15/535][116496] Loss_D: -0.020259 Loss_G: 0.013650 Loss_D_real: -0.024812 Loss_D_fake -0.004553
[1130/5000][20/535][116497] Loss_D: -0.021008 Loss_G: 0.006707 Loss_D_real: -0.015309 Loss_D_fake 0.005699
[1130/5000][25/535][116498] Loss_D: -0.021651 Loss_G: 0.019778 Loss_D_real: -0.019576 Loss_D_fake 0.002075
[1130/5000][30/535][116499] Loss_D: -0.020637 Loss_G: 0.014098 Loss_D_real: -0.018473 Loss_D_fake 0.002164
[1130/5000][35/535][116500] Loss_D: -0.021058 Loss_G: 0.014607 Loss_D_real: -0.013574 Loss_D_fake 0.007484
[1130/5000][135/535][116501] Loss_D: -0.024055 Loss_G: -0.017670 Loss_D_real: -0.006415 Loss_D_fake 0.017640
[1130/5000][140/535][116502] Loss_D: -0.019702 Loss_G: 0.018594 Loss_D_real: -0.014288 Loss_D_fake 0.005414
[1130/5000][145/535][116503] Loss_D: -0.020807 Loss_G: 0.008933 Loss_D_real: -0.014495 Loss_D_fake 0.006312
[1130/5000][150/535][116504] Loss_D: -0.020112 Loss_G: 0.007344 Loss_D_real: -0.023463 Loss_D_fake -0.003351
[1130/5000][155/535][116505] Loss_D: -0.020364 Loss_G: 0.000673 Loss_D_real: -0.015761 Loss_D_fake 0.004603
[1130/5000][160/535][116506] Loss_D: -0.019785 Loss_G: 0.011121 Loss_D_real: -0.014746 Loss_D_fake 0.005039
[1130/5000][165/535][116507] Loss_D: -0.019597 Loss_G: 0.014585 Loss_D_real: -0.021397 Loss_D_fake -0.001799
[1130/5000][170/535][116508] Loss_D: -0.020453 Loss_G: 0.007564 Loss_D_real: -0.030247 Loss_D_fake -0.009794
[1130/5000][175/535][116509] Loss_D: -0.020640 Loss_G: 0.022695 Loss_D_real: -0.025031 Loss_D_fake -0.004392
[1130/5000][180/535][116510] Loss_D: -0.021284 Loss_G: 0.006797 Loss_D_real: -0.018671 Loss_D_fake 0.002613
[1130/5000][185/535][116511] Loss_D: -0.021246 Loss_G: -0.007615 Loss_D_real: -0.014996 Loss_D_fake 0.006250
[1130/5000][190/535][116512] Loss_D: -0.020114 Loss_G: 0.018027 Loss_D_real: -0.019532 Loss_D_fake 0.000582
[1130/5000][195/535][116513] Loss_D: -0.021005 Loss_G: 0.003599 Loss_D_real: -0.015405 Loss_D_fake 0.005601
[1130/5000][200/535][116514] Loss_D: -0.021078 Loss_G: -0.013655 Loss_D_real: -0.008484 Loss_D_fake 0.012594
[1130/5000][205/535][116515] Loss_D: -0.021373 Loss_G: 0.000176 Loss_D_real: -0.007058 Loss_D_fake 0.014315
[1130/5000][210/535][116516] Loss_D: -0.019996 Loss_G: -0.000677 Loss_D_real: -0.000001 Loss_D_fake 0.019995
[1130/5000][215/535][116517] Loss_D: -0.020274 Loss_G: 0.006788 Loss_D_real: -0.017132 Loss_D_fake 0.003142
[1130/5000][220/535][116518] Loss_D: -0.020389 Loss_G: 0.016753 Loss_D_real: -0.026752 Loss_D_fake -0.006363
[1130/5000][225/535][116519] Loss_D: -0.020571 Loss_G: 0.015829 Loss_D_real: -0.020704 Loss_D_fake -0.000133
[1130/5000][230/535][116520] Loss_D: -0.020769 Loss_G: 0.008552 Loss_D_real: -0.025647 Loss_D_fake -0.004878
[1130/5000][235/535][116521] Loss_D: -0.020347 Loss_G: 0.015670 Loss_D_real: -0.015969 Loss_D_fake 0.004378
[1130/5000][240/535][116522] Loss_D: -0.022038 Loss_G: -0.001728 Loss_D_real: -0.010808 Loss_D_fake 0.011229
[1130/5000][245/535][116523] Loss_D: -0.020374 Loss_G: 0.008677 Loss_D_real: -0.021705 Loss_D_fake -0.001331
[1130/5000][250/535][116524] Loss_D: -0.020724 Loss_G: 0.003749 Loss_D_real: -0.019052 Loss_D_fake 0.001673
[1130/5000][255/535][116525] Loss_D: -0.020903 Loss_G: -0.005048 Loss_D_real: -0.011968 Loss_D_fake 0.008935
[1130/5000][260/535][116526] Loss_D: -0.020652 Loss_G: 0.006839 Loss_D_real: -0.022376 Loss_D_fake -0.001725
[1130/5000][265/535][116527] Loss_D: -0.021244 Loss_G: -0.006204 Loss_D_real: -0.010383 Loss_D_fake 0.010861
[1130/5000][270/535][116528] Loss_D: -0.020163 Loss_G: -0.001968 Loss_D_real: -0.010924 Loss_D_fake 0.009239
[1130/5000][275/535][116529] Loss_D: -0.021301 Loss_G: 0.009596 Loss_D_real: -0.020591 Loss_D_fake 0.000710
[1130/5000][280/535][116530] Loss_D: -0.021087 Loss_G: 0.010394 Loss_D_real: -0.018382 Loss_D_fake 0.002705
[1130/5000][285/535][116531] Loss_D: -0.021060 Loss_G: 0.001175 Loss_D_real: -0.019297 Loss_D_fake 0.001762
[1130/5000][290/535][116532] Loss_D: -0.021101 Loss_G: 0.023266 Loss_D_real: -0.018591 Loss_D_fake 0.002510
[1130/5000][295/535][116533] Loss_D: -0.020589 Loss_G: 0.023112 Loss_D_real: -0.031467 Loss_D_fake -0.010877
[1130/5000][300/535][116534] Loss_D: -0.020671 Loss_G: -0.001042 Loss_D_real: -0.023532 Loss_D_fake -0.002861
[1130/5000][305/535][116535] Loss_D: -0.019036 Loss_G: 0.031473 Loss_D_real: -0.025491 Loss_D_fake -0.006455
[1130/5000][310/535][116536] Loss_D: -0.022118 Loss_G: 0.000671 Loss_D_real: -0.012215 Loss_D_fake 0.009903
[1130/5000][315/535][116537] Loss_D: -0.020605 Loss_G: 0.006783 Loss_D_real: -0.014255 Loss_D_fake 0.006350
[1130/5000][320/535][116538] Loss_D: -0.020311 Loss_G: 0.006665 Loss_D_real: -0.024755 Loss_D_fake -0.004444
[1130/5000][325/535][116539] Loss_D: -0.021830 Loss_G: 0.005501 Loss_D_real: -0.016460 Loss_D_fake 0.005369
[1130/5000][330/535][116540] Loss_D: -0.021294 Loss_G: 0.002817 Loss_D_real: -0.009965 Loss_D_fake 0.011329
[1130/5000][335/535][116541] Loss_D: -0.021639 Loss_G: -0.004902 Loss_D_real: -0.011595 Loss_D_fake 0.010043
[1130/5000][340/535][116542] Loss_D: -0.020793 Loss_G: 0.007857 Loss_D_real: -0.020054 Loss_D_fake 0.000738
[1130/5000][345/535][116543] Loss_D: -0.020826 Loss_G: 0.029481 Loss_D_real: -0.029062 Loss_D_fake -0.008235
[1130/5000][350/535][116544] Loss_D: -0.022243 Loss_G: -0.001367 Loss_D_real: -0.016991 Loss_D_fake 0.005252
[1130/5000][355/535][116545] Loss_D: -0.021189 Loss_G: 0.007645 Loss_D_real: -0.015607 Loss_D_fake 0.005582
[1130/5000][360/535][116546] Loss_D: -0.022009 Loss_G: 0.003757 Loss_D_real: -0.001656 Loss_D_fake 0.020354
[1130/5000][365/535][116547] Loss_D: -0.020274 Loss_G: 0.021769 Loss_D_real: -0.019059 Loss_D_fake 0.001215
[1130/5000][370/535][116548] Loss_D: -0.020522 Loss_G: -0.007028 Loss_D_real: -0.002628 Loss_D_fake 0.017893
[1130/5000][375/535][116549] Loss_D: -0.021034 Loss_G: 0.012683 Loss_D_real: -0.010775 Loss_D_fake 0.010259
[1130/5000][380/535][116550] Loss_D: -0.020709 Loss_G: 0.008949 Loss_D_real: -0.017123 Loss_D_fake 0.003586
[1130/5000][385/535][116551] Loss_D: -0.022576 Loss_G: -0.003180 Loss_D_real: -0.009293 Loss_D_fake 0.013282
[1130/5000][390/535][116552] Loss_D: -0.022546 Loss_G: -0.005063 Loss_D_real: 0.001869 Loss_D_fake 0.024416
[1130/5000][395/535][116553] Loss_D: -0.021526 Loss_G: 0.000454 Loss_D_real: -0.003361 Loss_D_fake 0.018165
[1130/5000][400/535][116554] Loss_D: -0.021591 Loss_G: 0.009316 Loss_D_real: -0.022906 Loss_D_fake -0.001315
[1130/5000][405/535][116555] Loss_D: -0.020753 Loss_G: 0.010984 Loss_D_real: -0.024835 Loss_D_fake -0.004082
[1130/5000][410/535][116556] Loss_D: -0.021297 Loss_G: -0.009584 Loss_D_real: -0.009245 Loss_D_fake 0.012052
[1130/5000][415/535][116557] Loss_D: -0.019964 Loss_G: -0.010049 Loss_D_real: -0.018361 Loss_D_fake 0.001603
[1130/5000][420/535][116558] Loss_D: -0.020760 Loss_G: 0.024506 Loss_D_real: -0.033987 Loss_D_fake -0.013227
[1130/5000][425/535][116559] Loss_D: -0.021394 Loss_G: -0.002364 Loss_D_real: 0.005015 Loss_D_fake 0.026409
[1130/5000][430/535][116560] Loss_D: -0.021910 Loss_G: 0.027552 Loss_D_real: -0.025444 Loss_D_fake -0.003534
[1130/5000][435/535][116561] Loss_D: -0.021643 Loss_G: 0.001019 Loss_D_real: -0.004611 Loss_D_fake 0.017032
[1130/5000][440/535][116562] Loss_D: -0.020675 Loss_G: 0.000973 Loss_D_real: -0.010621 Loss_D_fake 0.010054
[1130/5000][445/535][116563] Loss_D: -0.022333 Loss_G: 0.001163 Loss_D_real: -0.021454 Loss_D_fake 0.000880
[1130/5000][450/535][116564] Loss_D: -0.020553 Loss_G: 0.007746 Loss_D_real: -0.025088 Loss_D_fake -0.004535
[1130/5000][455/535][116565] Loss_D: -0.021214 Loss_G: -0.002099 Loss_D_real: -0.014253 Loss_D_fake 0.006961
[1130/5000][460/535][116566] Loss_D: -0.021429 Loss_G: 0.010961 Loss_D_real: -0.021908 Loss_D_fake -0.000479
[1130/5000][465/535][116567] Loss_D: -0.022612 Loss_G: 0.009445 Loss_D_real: -0.007578 Loss_D_fake 0.015034
[1130/5000][470/535][116568] Loss_D: -0.020819 Loss_G: -0.010126 Loss_D_real: -0.000728 Loss_D_fake 0.020091
[1130/5000][475/535][116569] Loss_D: -0.021543 Loss_G: 0.008247 Loss_D_real: -0.030969 Loss_D_fake -0.009426
[1130/5000][480/535][116570] Loss_D: -0.021203 Loss_G: 0.027467 Loss_D_real: -0.028621 Loss_D_fake -0.007419
[1130/5000][485/535][116571] Loss_D: -0.021032 Loss_G: -0.000340 Loss_D_real: -0.014425 Loss_D_fake 0.006607
[1130/5000][490/535][116572] Loss_D: -0.020828 Loss_G: 0.015043 Loss_D_real: -0.017667 Loss_D_fake 0.003161
[1130/5000][495/535][116573] Loss_D: -0.020352 Loss_G: 0.007133 Loss_D_real: -0.012187 Loss_D_fake 0.008166
[1130/5000][500/535][116574] Loss_D: -0.020521 Loss_G: 0.013108 Loss_D_real: -0.025012 Loss_D_fake -0.004492
[1130/5000][505/535][116575] Loss_D: -0.020724 Loss_G: 0.015783 Loss_D_real: -0.027730 Loss_D_fake -0.007006
[1130/5000][510/535][116576] Loss_D: -0.020177 Loss_G: -0.006444 Loss_D_real: -0.010657 Loss_D_fake 0.009520
[1130/5000][515/535][116577] Loss_D: -0.020498 Loss_G: 0.020526 Loss_D_real: -0.027340 Loss_D_fake -0.006842
[1130/5000][520/535][116578] Loss_D: -0.021940 Loss_G: 0.002333 Loss_D_real: -0.011143 Loss_D_fake 0.010797
[1130/5000][525/535][116579] Loss_D: -0.021271 Loss_G: 0.020651 Loss_D_real: -0.025539 Loss_D_fake -0.004268
[1130/5000][530/535][116580] Loss_D: -0.021274 Loss_G: -0.005544 Loss_D_real: -0.008101 Loss_D_fake 0.013173
[1130/5000][535/535][116581] Loss_D: -0.018356 Loss_G: 0.026545 Loss_D_real: -0.023455 Loss_D_fake -0.005099
[1131/5000][5/535][116582] Loss_D: -0.019942 Loss_G: -0.005409 Loss_D_real: 0.002668 Loss_D_fake 0.022610
[1131/5000][10/535][116583] Loss_D: -0.021391 Loss_G: 0.006738 Loss_D_real: -0.034118 Loss_D_fake -0.012727
[1131/5000][15/535][116584] Loss_D: -0.018608 Loss_G: -0.012281 Loss_D_real: 0.000856 Loss_D_fake 0.019464
[1131/5000][20/535][116585] Loss_D: -0.021410 Loss_G: -0.012847 Loss_D_real: -0.009096 Loss_D_fake 0.012314
[1131/5000][25/535][116586] Loss_D: -0.020406 Loss_G: 0.013039 Loss_D_real: -0.024095 Loss_D_fake -0.003689
[1131/5000][30/535][116587] Loss_D: -0.021512 Loss_G: 0.015204 Loss_D_real: -0.015725 Loss_D_fake 0.005787
[1131/5000][35/535][116588] Loss_D: -0.021529 Loss_G: 0.015483 Loss_D_real: -0.020924 Loss_D_fake 0.000605
[1131/5000][40/535][116589] Loss_D: -0.020983 Loss_G: 0.018364 Loss_D_real: -0.021049 Loss_D_fake -0.000066
[1131/5000][45/535][116590] Loss_D: -0.018742 Loss_G: 0.021792 Loss_D_real: -0.025561 Loss_D_fake -0.006819
[1131/5000][50/535][116591] Loss_D: -0.021434 Loss_G: 0.000615 Loss_D_real: -0.017622 Loss_D_fake 0.003812
[1131/5000][55/535][116592] Loss_D: -0.022728 Loss_G: -0.002185 Loss_D_real: -0.018507 Loss_D_fake 0.004222
[1131/5000][60/535][116593] Loss_D: -0.020786 Loss_G: -0.014778 Loss_D_real: -0.003740 Loss_D_fake 0.017046
[1131/5000][65/535][116594] Loss_D: -0.021760 Loss_G: 0.015530 Loss_D_real: -0.012376 Loss_D_fake 0.009383
[1131/5000][70/535][116595] Loss_D: -0.020570 Loss_G: 0.000553 Loss_D_real: -0.020367 Loss_D_fake 0.000203
[1131/5000][75/535][116596] Loss_D: -0.018889 Loss_G: 0.020867 Loss_D_real: -0.029811 Loss_D_fake -0.010922
[1131/5000][80/535][116597] Loss_D: -0.021062 Loss_G: 0.013808 Loss_D_real: -0.019721 Loss_D_fake 0.001341
[1131/5000][85/535][116598] Loss_D: -0.020821 Loss_G: 0.001351 Loss_D_real: -0.012865 Loss_D_fake 0.007956
[1131/5000][90/535][116599] Loss_D: -0.021145 Loss_G: -0.002208 Loss_D_real: -0.017035 Loss_D_fake 0.004110
[1131/5000][95/535][116600] Loss_D: -0.020997 Loss_G: 0.011752 Loss_D_real: -0.021492 Loss_D_fake -0.000494
[1131/5000][100/535][116601] Loss_D: -0.021427 Loss_G: 0.022766 Loss_D_real: -0.024858 Loss_D_fake -0.003431
[1131/5000][105/535][116602] Loss_D: -0.020465 Loss_G: -0.006619 Loss_D_real: -0.012609 Loss_D_fake 0.007856
[1131/5000][110/535][116603] Loss_D: -0.021491 Loss_G: 0.021198 Loss_D_real: -0.029346 Loss_D_fake -0.007855
[1131/5000][115/535][116604] Loss_D: -0.020722 Loss_G: 0.010849 Loss_D_real: -0.021101 Loss_D_fake -0.000379
[1131/5000][120/535][116605] Loss_D: -0.020436 Loss_G: 0.004496 Loss_D_real: -0.028041 Loss_D_fake -0.007605
[1131/5000][125/535][116606] Loss_D: -0.021356 Loss_G: 0.014581 Loss_D_real: -0.017412 Loss_D_fake 0.003943
[1131/5000][130/535][116607] Loss_D: -0.020802 Loss_G: -0.004917 Loss_D_real: -0.012500 Loss_D_fake 0.008302
[1131/5000][135/535][116608] Loss_D: -0.021486 Loss_G: 0.010422 Loss_D_real: -0.016305 Loss_D_fake 0.005181
[1131/5000][140/535][116609] Loss_D: -0.020687 Loss_G: -0.007202 Loss_D_real: -0.018157 Loss_D_fake 0.002530
[1131/5000][145/535][116610] Loss_D: -0.021027 Loss_G: 0.004730 Loss_D_real: -0.023925 Loss_D_fake -0.002899
[1131/5000][150/535][116611] Loss_D: -0.020405 Loss_G: 0.023574 Loss_D_real: -0.030060 Loss_D_fake -0.009655
[1131/5000][155/535][116612] Loss_D: -0.021364 Loss_G: -0.008635 Loss_D_real: 0.004807 Loss_D_fake 0.026171
[1131/5000][160/535][116613] Loss_D: -0.020952 Loss_G: 0.012012 Loss_D_real: -0.011762 Loss_D_fake 0.009190
[1131/5000][165/535][116614] Loss_D: -0.021327 Loss_G: 0.011038 Loss_D_real: -0.014768 Loss_D_fake 0.006559
[1131/5000][170/535][116615] Loss_D: -0.017885 Loss_G: 0.018217 Loss_D_real: -0.036146 Loss_D_fake -0.018261
[1131/5000][175/535][116616] Loss_D: -0.020468 Loss_G: -0.007737 Loss_D_real: 0.000073 Loss_D_fake 0.020541
[1131/5000][180/535][116617] Loss_D: -0.021619 Loss_G: 0.005835 Loss_D_real: -0.009005 Loss_D_fake 0.012613
[1131/5000][185/535][116618] Loss_D: -0.021648 Loss_G: 0.002807 Loss_D_real: -0.006526 Loss_D_fake 0.015121
[1131/5000][190/535][116619] Loss_D: -0.022032 Loss_G: 0.010355 Loss_D_real: -0.019236 Loss_D_fake 0.002796
[1131/5000][195/535][116620] Loss_D: -0.021623 Loss_G: 0.011057 Loss_D_real: -0.018195 Loss_D_fake 0.003428
[1131/5000][200/535][116621] Loss_D: -0.020667 Loss_G: -0.006696 Loss_D_real: -0.004190 Loss_D_fake 0.016478
[1131/5000][205/535][116622] Loss_D: -0.021051 Loss_G: 0.017841 Loss_D_real: -0.018335 Loss_D_fake 0.002716
[1131/5000][210/535][116623] Loss_D: -0.020436 Loss_G: -0.018921 Loss_D_real: -0.007199 Loss_D_fake 0.013237
[1131/5000][215/535][116624] Loss_D: -0.020514 Loss_G: 0.001899 Loss_D_real: -0.024083 Loss_D_fake -0.003569
[1131/5000][220/535][116625] Loss_D: -0.021887 Loss_G: 0.016910 Loss_D_real: -0.025268 Loss_D_fake -0.003381
[1131/5000][225/535][116626] Loss_D: -0.020212 Loss_G: -0.021007 Loss_D_real: -0.002400 Loss_D_fake 0.017811
[1131/5000][230/535][116627] Loss_D: -0.021805 Loss_G: 0.018446 Loss_D_real: -0.025641 Loss_D_fake -0.003835
[1131/5000][235/535][116628] Loss_D: -0.021330 Loss_G: -0.007481 Loss_D_real: -0.016849 Loss_D_fake 0.004481
[1131/5000][240/535][116629] Loss_D: -0.021032 Loss_G: 0.011395 Loss_D_real: -0.017586 Loss_D_fake 0.003446
[1131/5000][245/535][116630] Loss_D: -0.021417 Loss_G: 0.018875 Loss_D_real: -0.026174 Loss_D_fake -0.004757
[1131/5000][250/535][116631] Loss_D: -0.021713 Loss_G: -0.003229 Loss_D_real: -0.001758 Loss_D_fake 0.019955
[1131/5000][255/535][116632] Loss_D: -0.021586 Loss_G: 0.014545 Loss_D_real: -0.021792 Loss_D_fake -0.000207
[1131/5000][260/535][116633] Loss_D: -0.020816 Loss_G: 0.007071 Loss_D_real: -0.024961 Loss_D_fake -0.004145
[1131/5000][265/535][116634] Loss_D: -0.021513 Loss_G: 0.006364 Loss_D_real: -0.010581 Loss_D_fake 0.010932
[1131/5000][270/535][116635] Loss_D: -0.020638 Loss_G: -0.000910 Loss_D_real: -0.010526 Loss_D_fake 0.010112
[1131/5000][275/535][116636] Loss_D: -0.021296 Loss_G: 0.012943 Loss_D_real: -0.025831 Loss_D_fake -0.004535
[1131/5000][280/535][116637] Loss_D: -0.022481 Loss_G: 0.023699 Loss_D_real: -0.016909 Loss_D_fake 0.005571
[1131/5000][285/535][116638] Loss_D: -0.020872 Loss_G: 0.009524 Loss_D_real: -0.015189 Loss_D_fake 0.005683
[1131/5000][290/535][116639] Loss_D: -0.022403 Loss_G: 0.004490 Loss_D_real: -0.014370 Loss_D_fake 0.008033
[1131/5000][295/535][116640] Loss_D: -0.020927 Loss_G: 0.001027 Loss_D_real: -0.002287 Loss_D_fake 0.018640
[1131/5000][300/535][116641] Loss_D: -0.021935 Loss_G: 0.020108 Loss_D_real: -0.025441 Loss_D_fake -0.003506
[1131/5000][305/535][116642] Loss_D: -0.021547 Loss_G: -0.009406 Loss_D_real: -0.001325 Loss_D_fake 0.020223
[1131/5000][310/535][116643] Loss_D: -0.019660 Loss_G: 0.019004 Loss_D_real: -0.035360 Loss_D_fake -0.015700
[1131/5000][315/535][116644] Loss_D: -0.021135 Loss_G: -0.000903 Loss_D_real: -0.016024 Loss_D_fake 0.005111
[1131/5000][320/535][116645] Loss_D: -0.020472 Loss_G: 0.005566 Loss_D_real: -0.021461 Loss_D_fake -0.000989
[1131/5000][325/535][116646] Loss_D: -0.020200 Loss_G: -0.005126 Loss_D_real: 0.003007 Loss_D_fake 0.023206
[1131/5000][330/535][116647] Loss_D: -0.020548 Loss_G: -0.013794 Loss_D_real: -0.008954 Loss_D_fake 0.011594
[1131/5000][335/535][116648] Loss_D: -0.020876 Loss_G: 0.004196 Loss_D_real: -0.009409 Loss_D_fake 0.011467
[1131/5000][340/535][116649] Loss_D: -0.020453 Loss_G: 0.018564 Loss_D_real: -0.014805 Loss_D_fake 0.005648
[1131/5000][345/535][116650] Loss_D: -0.020520 Loss_G: 0.014960 Loss_D_real: -0.032475 Loss_D_fake -0.011954
[1131/5000][350/535][116651] Loss_D: -0.019153 Loss_G: 0.030232 Loss_D_real: -0.036536 Loss_D_fake -0.017383
[1131/5000][355/535][116652] Loss_D: -0.021854 Loss_G: 0.013302 Loss_D_real: -0.032418 Loss_D_fake -0.010564
[1131/5000][360/535][116653] Loss_D: -0.022644 Loss_G: 0.014312 Loss_D_real: -0.031771 Loss_D_fake -0.009127
[1131/5000][365/535][116654] Loss_D: -0.020706 Loss_G: -0.009871 Loss_D_real: -0.000539 Loss_D_fake 0.020167
[1131/5000][370/535][116655] Loss_D: -0.021466 Loss_G: 0.009186 Loss_D_real: -0.022708 Loss_D_fake -0.001242
[1131/5000][375/535][116656] Loss_D: -0.021196 Loss_G: 0.004904 Loss_D_real: -0.016957 Loss_D_fake 0.004239
[1131/5000][380/535][116657] Loss_D: -0.021553 Loss_G: -0.016016 Loss_D_real: -0.006328 Loss_D_fake 0.015225
[1131/5000][385/535][116658] Loss_D: -0.021016 Loss_G: 0.015703 Loss_D_real: -0.028006 Loss_D_fake -0.006989
[1131/5000][390/535][116659] Loss_D: -0.020833 Loss_G: 0.009884 Loss_D_real: -0.015572 Loss_D_fake 0.005261
[1131/5000][395/535][116660] Loss_D: -0.020820 Loss_G: 0.011631 Loss_D_real: -0.030271 Loss_D_fake -0.009451
[1131/5000][400/535][116661] Loss_D: -0.022285 Loss_G: -0.001907 Loss_D_real: -0.018174 Loss_D_fake 0.004111
[1131/5000][405/535][116662] Loss_D: -0.020803 Loss_G: -0.000085 Loss_D_real: -0.008327 Loss_D_fake 0.012476
[1131/5000][410/535][116663] Loss_D: -0.021368 Loss_G: -0.003205 Loss_D_real: -0.008324 Loss_D_fake 0.013045
[1131/5000][415/535][116664] Loss_D: -0.022076 Loss_G: 0.018781 Loss_D_real: -0.030810 Loss_D_fake -0.008735
[1131/5000][420/535][116665] Loss_D: -0.022943 Loss_G: -0.001099 Loss_D_real: -0.014335 Loss_D_fake 0.008608
[1131/5000][425/535][116666] Loss_D: -0.019084 Loss_G: -0.012755 Loss_D_real: 0.004997 Loss_D_fake 0.024081
[1131/5000][430/535][116667] Loss_D: -0.021046 Loss_G: 0.014420 Loss_D_real: -0.025118 Loss_D_fake -0.004072
[1131/5000][435/535][116668] Loss_D: -0.021336 Loss_G: 0.006338 Loss_D_real: -0.028961 Loss_D_fake -0.007625
[1131/5000][440/535][116669] Loss_D: -0.020697 Loss_G: 0.013045 Loss_D_real: -0.027726 Loss_D_fake -0.007029
[1131/5000][445/535][116670] Loss_D: -0.020389 Loss_G: 0.003540 Loss_D_real: 0.000443 Loss_D_fake 0.020832
[1131/5000][450/535][116671] Loss_D: -0.021383 Loss_G: 0.006274 Loss_D_real: -0.018161 Loss_D_fake 0.003223
[1131/5000][455/535][116672] Loss_D: -0.019925 Loss_G: 0.010713 Loss_D_real: -0.023957 Loss_D_fake -0.004031
[1131/5000][460/535][116673] Loss_D: -0.021259 Loss_G: 0.008014 Loss_D_real: -0.018496 Loss_D_fake 0.002763
[1131/5000][465/535][116674] Loss_D: -0.021269 Loss_G: 0.018027 Loss_D_real: -0.028656 Loss_D_fake -0.007387
[1131/5000][470/535][116675] Loss_D: -0.020528 Loss_G: -0.001159 Loss_D_real: -0.017777 Loss_D_fake 0.002751
[1131/5000][475/535][116676] Loss_D: -0.020953 Loss_G: 0.013330 Loss_D_real: -0.025550 Loss_D_fake -0.004598
[1131/5000][480/535][116677] Loss_D: -0.021734 Loss_G: 0.009764 Loss_D_real: -0.024392 Loss_D_fake -0.002658
[1131/5000][485/535][116678] Loss_D: -0.020321 Loss_G: 0.018672 Loss_D_real: -0.021242 Loss_D_fake -0.000921
[1131/5000][490/535][116679] Loss_D: -0.020994 Loss_G: 0.002711 Loss_D_real: -0.016339 Loss_D_fake 0.004655
[1131/5000][495/535][116680] Loss_D: -0.020703 Loss_G: 0.014559 Loss_D_real: -0.012000 Loss_D_fake 0.008703
[1131/5000][500/535][116681] Loss_D: -0.019662 Loss_G: 0.008629 Loss_D_real: -0.023005 Loss_D_fake -0.003344
[1131/5000][505/535][116682] Loss_D: -0.021841 Loss_G: 0.012532 Loss_D_real: -0.011789 Loss_D_fake 0.010052
[1131/5000][510/535][116683] Loss_D: -0.020617 Loss_G: 0.004411 Loss_D_real: -0.011825 Loss_D_fake 0.008792
[1131/5000][515/535][116684] Loss_D: -0.021974 Loss_G: -0.000061 Loss_D_real: -0.019289 Loss_D_fake 0.002685
[1131/5000][520/535][116685] Loss_D: -0.020431 Loss_G: 0.012806 Loss_D_real: -0.012378 Loss_D_fake 0.008053
[1131/5000][525/535][116686] Loss_D: -0.020628 Loss_G: 0.012352 Loss_D_real: -0.018563 Loss_D_fake 0.002064
[1131/5000][530/535][116687] Loss_D: -0.022065 Loss_G: -0.000222 Loss_D_real: -0.017266 Loss_D_fake 0.004800
[1131/5000][535/535][116688] Loss_D: -0.023049 Loss_G: 0.018540 Loss_D_real: -0.022885 Loss_D_fake 0.000164
[1132/5000][5/535][116689] Loss_D: -0.022054 Loss_G: 0.018966 Loss_D_real: -0.018922 Loss_D_fake 0.003131
[1132/5000][10/535][116690] Loss_D: -0.020652 Loss_G: -0.013529 Loss_D_real: -0.012552 Loss_D_fake 0.008100
[1132/5000][15/535][116691] Loss_D: -0.019231 Loss_G: 0.002888 Loss_D_real: -0.016300 Loss_D_fake 0.002931
[1132/5000][20/535][116692] Loss_D: -0.022223 Loss_G: 0.016372 Loss_D_real: -0.016861 Loss_D_fake 0.005362
[1132/5000][25/535][116693] Loss_D: -0.020875 Loss_G: 0.007359 Loss_D_real: -0.023073 Loss_D_fake -0.002197
[1132/5000][30/535][116694] Loss_D: -0.020998 Loss_G: 0.017440 Loss_D_real: -0.025341 Loss_D_fake -0.004343
[1132/5000][35/535][116695] Loss_D: -0.020029 Loss_G: -0.007339 Loss_D_real: 0.002348 Loss_D_fake 0.022377
[1132/5000][40/535][116696] Loss_D: -0.020593 Loss_G: 0.021324 Loss_D_real: -0.019846 Loss_D_fake 0.000747
[1132/5000][45/535][116697] Loss_D: -0.021732 Loss_G: 0.019243 Loss_D_real: -0.016670 Loss_D_fake 0.005062
[1132/5000][50/535][116698] Loss_D: -0.020167 Loss_G: 0.002551 Loss_D_real: -0.008520 Loss_D_fake 0.011647
[1132/5000][55/535][116699] Loss_D: -0.020295 Loss_G: 0.013540 Loss_D_real: -0.020666 Loss_D_fake -0.000371
[1132/5000][60/535][116700] Loss_D: -0.022326 Loss_G: 0.021409 Loss_D_real: -0.024404 Loss_D_fake -0.002078
[1132/5000][65/535][116701] Loss_D: -0.020916 Loss_G: 0.001232 Loss_D_real: -0.023111 Loss_D_fake -0.002194
[1132/5000][70/535][116702] Loss_D: -0.020994 Loss_G: 0.002669 Loss_D_real: -0.025485 Loss_D_fake -0.004491
[1132/5000][75/535][116703] Loss_D: -0.020363 Loss_G: 0.012216 Loss_D_real: -0.015271 Loss_D_fake 0.005092
[1132/5000][80/535][116704] Loss_D: -0.020442 Loss_G: -0.005881 Loss_D_real: 0.004100 Loss_D_fake 0.024542
[1132/5000][85/535][116705] Loss_D: -0.021509 Loss_G: -0.001684 Loss_D_real: -0.015170 Loss_D_fake 0.006339
[1132/5000][90/535][116706] Loss_D: -0.021554 Loss_G: 0.014581 Loss_D_real: -0.008367 Loss_D_fake 0.013187
[1132/5000][95/535][116707] Loss_D: -0.020975 Loss_G: 0.009333 Loss_D_real: -0.018164 Loss_D_fake 0.002811
[1132/5000][100/535][116708] Loss_D: -0.020250 Loss_G: 0.008960 Loss_D_real: -0.021578 Loss_D_fake -0.001328
[1132/5000][105/535][116709] Loss_D: -0.019762 Loss_G: 0.011344 Loss_D_real: -0.019088 Loss_D_fake 0.000674
[1132/5000][110/535][116710] Loss_D: -0.021307 Loss_G: 0.006283 Loss_D_real: -0.021619 Loss_D_fake -0.000312
[1132/5000][115/535][116711] Loss_D: -0.021207 Loss_G: 0.007719 Loss_D_real: -0.016326 Loss_D_fake 0.004881
[1132/5000][120/535][116712] Loss_D: -0.020766 Loss_G: -0.010078 Loss_D_real: -0.000741 Loss_D_fake 0.020025
[1132/5000][125/535][116713] Loss_D: -0.021729 Loss_G: -0.011918 Loss_D_real: -0.011026 Loss_D_fake 0.010703
[1132/5000][130/535][116714] Loss_D: -0.021674 Loss_G: 0.017307 Loss_D_real: -0.032282 Loss_D_fake -0.010607
[1132/5000][135/535][116715] Loss_D: -0.021568 Loss_G: 0.007046 Loss_D_real: -0.025385 Loss_D_fake -0.003817
[1132/5000][140/535][116716] Loss_D: -0.020543 Loss_G: 0.016249 Loss_D_real: -0.033658 Loss_D_fake -0.013114
[1132/5000][145/535][116717] Loss_D: -0.023199 Loss_G: 0.017690 Loss_D_real: -0.019273 Loss_D_fake 0.003926
[1132/5000][150/535][116718] Loss_D: -0.021036 Loss_G: 0.017901 Loss_D_real: -0.026618 Loss_D_fake -0.005582
[1132/5000][155/535][116719] Loss_D: -0.021551 Loss_G: 0.002722 Loss_D_real: -0.010456 Loss_D_fake 0.011095
[1132/5000][160/535][116720] Loss_D: -0.019761 Loss_G: 0.024013 Loss_D_real: -0.033022 Loss_D_fake -0.013261
[1132/5000][165/535][116721] Loss_D: -0.021178 Loss_G: 0.029071 Loss_D_real: -0.029470 Loss_D_fake -0.008292
[1132/5000][170/535][116722] Loss_D: -0.021365 Loss_G: 0.007646 Loss_D_real: -0.023023 Loss_D_fake -0.001658
[1132/5000][175/535][116723] Loss_D: -0.020976 Loss_G: 0.008931 Loss_D_real: -0.009772 Loss_D_fake 0.011204
[1132/5000][180/535][116724] Loss_D: -0.020499 Loss_G: 0.010987 Loss_D_real: -0.024535 Loss_D_fake -0.004036
[1132/5000][185/535][116725] Loss_D: -0.020721 Loss_G: -0.010624 Loss_D_real: -0.001625 Loss_D_fake 0.019095
[1132/5000][190/535][116726] Loss_D: -0.021686 Loss_G: 0.004176 Loss_D_real: -0.018575 Loss_D_fake 0.003111
[1132/5000][195/535][116727] Loss_D: -0.020980 Loss_G: 0.005893 Loss_D_real: -0.018298 Loss_D_fake 0.002682
[1132/5000][200/535][116728] Loss_D: -0.021425 Loss_G: -0.007179 Loss_D_real: -0.009689 Loss_D_fake 0.011736
[1132/5000][205/535][116729] Loss_D: -0.020840 Loss_G: 0.000872 Loss_D_real: -0.023188 Loss_D_fake -0.002348
[1132/5000][210/535][116730] Loss_D: -0.021171 Loss_G: 0.008419 Loss_D_real: -0.008502 Loss_D_fake 0.012669
[1132/5000][215/535][116731] Loss_D: -0.020542 Loss_G: -0.013200 Loss_D_real: -0.001440 Loss_D_fake 0.019103
[1132/5000][220/535][116732] Loss_D: -0.021659 Loss_G: 0.010077 Loss_D_real: -0.018640 Loss_D_fake 0.003019
[1132/5000][225/535][116733] Loss_D: -0.021264 Loss_G: 0.007558 Loss_D_real: -0.017828 Loss_D_fake 0.003435
[1132/5000][230/535][116734] Loss_D: -0.021068 Loss_G: 0.000674 Loss_D_real: -0.011604 Loss_D_fake 0.009464
[1132/5000][235/535][116735] Loss_D: -0.021036 Loss_G: 0.012917 Loss_D_real: -0.015793 Loss_D_fake 0.005243
[1132/5000][240/535][116736] Loss_D: -0.020612 Loss_G: -0.003082 Loss_D_real: -0.009410 Loss_D_fake 0.011202
[1132/5000][245/535][116737] Loss_D: -0.020101 Loss_G: -0.002496 Loss_D_real: -0.004707 Loss_D_fake 0.015393
[1132/5000][250/535][116738] Loss_D: -0.021118 Loss_G: -0.004776 Loss_D_real: -0.013837 Loss_D_fake 0.007280
[1132/5000][255/535][116739] Loss_D: -0.021296 Loss_G: 0.020407 Loss_D_real: -0.023638 Loss_D_fake -0.002342
[1132/5000][260/535][116740] Loss_D: -0.021141 Loss_G: 0.015287 Loss_D_real: -0.025446 Loss_D_fake -0.004305
[1132/5000][265/535][116741] Loss_D: -0.020106 Loss_G: 0.020829 Loss_D_real: -0.037524 Loss_D_fake -0.017418
[1132/5000][270/535][116742] Loss_D: -0.018734 Loss_G: 0.032838 Loss_D_real: -0.021272 Loss_D_fake -0.002538
[1132/5000][275/535][116743] Loss_D: -0.020210 Loss_G: 0.013994 Loss_D_real: -0.029053 Loss_D_fake -0.008843
[1132/5000][280/535][116744] Loss_D: -0.022060 Loss_G: 0.014540 Loss_D_real: -0.022428 Loss_D_fake -0.000368
[1132/5000][285/535][116745] Loss_D: -0.022567 Loss_G: 0.005805 Loss_D_real: -0.012848 Loss_D_fake 0.009718
[1132/5000][290/535][116746] Loss_D: -0.021172 Loss_G: -0.009852 Loss_D_real: -0.009166 Loss_D_fake 0.012005
[1132/5000][295/535][116747] Loss_D: -0.020667 Loss_G: 0.015603 Loss_D_real: -0.025888 Loss_D_fake -0.005221
[1132/5000][300/535][116748] Loss_D: -0.020730 Loss_G: 0.012477 Loss_D_real: -0.020834 Loss_D_fake -0.000104
[1132/5000][305/535][116749] Loss_D: -0.021024 Loss_G: 0.019458 Loss_D_real: -0.020156 Loss_D_fake 0.000868
[1132/5000][310/535][116750] Loss_D: -0.020113 Loss_G: -0.014975 Loss_D_real: -0.002595 Loss_D_fake 0.017518
[1132/5000][315/535][116751] Loss_D: -0.018929 Loss_G: 0.024553 Loss_D_real: -0.034535 Loss_D_fake -0.015607
[1132/5000][320/535][116752] Loss_D: -0.019869 Loss_G: 0.018492 Loss_D_real: -0.013785 Loss_D_fake 0.006084
[1132/5000][325/535][116753] Loss_D: -0.021114 Loss_G: -0.005144 Loss_D_real: -0.013418 Loss_D_fake 0.007696
[1132/5000][330/535][116754] Loss_D: -0.021487 Loss_G: 0.013480 Loss_D_real: -0.013854 Loss_D_fake 0.007634
[1132/5000][335/535][116755] Loss_D: -0.020429 Loss_G: 0.016558 Loss_D_real: -0.031871 Loss_D_fake -0.011442
[1132/5000][340/535][116756] Loss_D: -0.022229 Loss_G: -0.014180 Loss_D_real: -0.009578 Loss_D_fake 0.012651
[1132/5000][345/535][116757] Loss_D: -0.020017 Loss_G: 0.013005 Loss_D_real: -0.024355 Loss_D_fake -0.004338
[1132/5000][350/535][116758] Loss_D: -0.020799 Loss_G: 0.005832 Loss_D_real: -0.025480 Loss_D_fake -0.004681
[1132/5000][355/535][116759] Loss_D: -0.020346 Loss_G: 0.008779 Loss_D_real: -0.022040 Loss_D_fake -0.001694
[1132/5000][360/535][116760] Loss_D: -0.020280 Loss_G: 0.016590 Loss_D_real: -0.025585 Loss_D_fake -0.005305
[1132/5000][365/535][116761] Loss_D: -0.020950 Loss_G: 0.009545 Loss_D_real: -0.025464 Loss_D_fake -0.004514
[1132/5000][370/535][116762] Loss_D: -0.020874 Loss_G: -0.010772 Loss_D_real: -0.001198 Loss_D_fake 0.019676
[1132/5000][375/535][116763] Loss_D: -0.021023 Loss_G: 0.005523 Loss_D_real: -0.010642 Loss_D_fake 0.010381
[1132/5000][380/535][116764] Loss_D: -0.023464 Loss_G: 0.008396 Loss_D_real: -0.017327 Loss_D_fake 0.006137
[1132/5000][385/535][116765] Loss_D: -0.020072 Loss_G: 0.018959 Loss_D_real: -0.021074 Loss_D_fake -0.001002
[1132/5000][390/535][116766] Loss_D: -0.022432 Loss_G: 0.007906 Loss_D_real: -0.012724 Loss_D_fake 0.009708
[1132/5000][395/535][116767] Loss_D: -0.019370 Loss_G: -0.006718 Loss_D_real: 0.004316 Loss_D_fake 0.023685
[1132/5000][400/535][116768] Loss_D: -0.020381 Loss_G: 0.008931 Loss_D_real: -0.032732 Loss_D_fake -0.012351
[1132/5000][405/535][116769] Loss_D: -0.021289 Loss_G: 0.018310 Loss_D_real: -0.030678 Loss_D_fake -0.009389
[1132/5000][410/535][116770] Loss_D: -0.021881 Loss_G: -0.005214 Loss_D_real: -0.020492 Loss_D_fake 0.001388
[1132/5000][415/535][116771] Loss_D: -0.020959 Loss_G: 0.012121 Loss_D_real: -0.020227 Loss_D_fake 0.000731
[1132/5000][420/535][116772] Loss_D: -0.020277 Loss_G: 0.019545 Loss_D_real: -0.018199 Loss_D_fake 0.002078
[1132/5000][425/535][116773] Loss_D: -0.021193 Loss_G: 0.007100 Loss_D_real: -0.018974 Loss_D_fake 0.002219
[1132/5000][430/535][116774] Loss_D: -0.021479 Loss_G: 0.001740 Loss_D_real: -0.016536 Loss_D_fake 0.004942
[1132/5000][435/535][116775] Loss_D: -0.021863 Loss_G: 0.009776 Loss_D_real: -0.022542 Loss_D_fake -0.000680
[1132/5000][440/535][116776] Loss_D: -0.021949 Loss_G: 0.009125 Loss_D_real: -0.011255 Loss_D_fake 0.010694
[1132/5000][445/535][116777] Loss_D: -0.020002 Loss_G: 0.017812 Loss_D_real: -0.029095 Loss_D_fake -0.009093
[1132/5000][450/535][116778] Loss_D: -0.020586 Loss_G: -0.005703 Loss_D_real: -0.003075 Loss_D_fake 0.017510
[1132/5000][455/535][116779] Loss_D: -0.020740 Loss_G: 0.019177 Loss_D_real: -0.021913 Loss_D_fake -0.001173
[1132/5000][460/535][116780] Loss_D: -0.020267 Loss_G: -0.006304 Loss_D_real: -0.021649 Loss_D_fake -0.001382
[1132/5000][465/535][116781] Loss_D: -0.021602 Loss_G: 0.016346 Loss_D_real: -0.021030 Loss_D_fake 0.000573
[1132/5000][470/535][116782] Loss_D: -0.020678 Loss_G: 0.013465 Loss_D_real: -0.032460 Loss_D_fake -0.011781
[1132/5000][475/535][116783] Loss_D: -0.020931 Loss_G: 0.026219 Loss_D_real: -0.020497 Loss_D_fake 0.000434
[1132/5000][480/535][116784] Loss_D: -0.021404 Loss_G: 0.002510 Loss_D_real: -0.029710 Loss_D_fake -0.008306
[1132/5000][485/535][116785] Loss_D: -0.022165 Loss_G: 0.002031 Loss_D_real: -0.002518 Loss_D_fake 0.019647
[1132/5000][490/535][116786] Loss_D: -0.021221 Loss_G: 0.000056 Loss_D_real: -0.011732 Loss_D_fake 0.009489
[1132/5000][495/535][116787] Loss_D: -0.021791 Loss_G: -0.002130 Loss_D_real: -0.007783 Loss_D_fake 0.014009
[1132/5000][500/535][116788] Loss_D: -0.021117 Loss_G: 0.004065 Loss_D_real: -0.016641 Loss_D_fake 0.004476
[1132/5000][505/535][116789] Loss_D: -0.020568 Loss_G: 0.004874 Loss_D_real: -0.017382 Loss_D_fake 0.003187
[1132/5000][510/535][116790] Loss_D: -0.020425 Loss_G: -0.003465 Loss_D_real: -0.011438 Loss_D_fake 0.008987
[1132/5000][515/535][116791] Loss_D: -0.022621 Loss_G: 0.002741 Loss_D_real: -0.027570 Loss_D_fake -0.004949
[1132/5000][520/535][116792] Loss_D: -0.021190 Loss_G: -0.006807 Loss_D_real: -0.003917 Loss_D_fake 0.017273
[1132/5000][525/535][116793] Loss_D: -0.020123 Loss_G: 0.020687 Loss_D_real: -0.023041 Loss_D_fake -0.002919
[1132/5000][530/535][116794] Loss_D: -0.021444 Loss_G: -0.007717 Loss_D_real: -0.004888 Loss_D_fake 0.016556
[1132/5000][535/535][116795] Loss_D: -0.020918 Loss_G: 0.007448 Loss_D_real: -0.004340 Loss_D_fake 0.016577
[1133/5000][5/535][116796] Loss_D: -0.020804 Loss_G: 0.000969 Loss_D_real: -0.020907 Loss_D_fake -0.000103
[1133/5000][10/535][116797] Loss_D: -0.022885 Loss_G: 0.006878 Loss_D_real: -0.018258 Loss_D_fake 0.004627
[1133/5000][15/535][116798] Loss_D: -0.018959 Loss_G: -0.009121 Loss_D_real: -0.008476 Loss_D_fake 0.010483
[1133/5000][20/535][116799] Loss_D: -0.020241 Loss_G: 0.016978 Loss_D_real: -0.013984 Loss_D_fake 0.006257
[1133/5000][25/535][116800] Loss_D: -0.019543 Loss_G: 0.017319 Loss_D_real: -0.017253 Loss_D_fake 0.002290
[1133/5000][30/535][116801] Loss_D: -0.021157 Loss_G: -0.002435 Loss_D_real: -0.022240 Loss_D_fake -0.001083
[1133/5000][35/535][116802] Loss_D: -0.020930 Loss_G: -0.013250 Loss_D_real: -0.004160 Loss_D_fake 0.016770
[1133/5000][40/535][116803] Loss_D: -0.020268 Loss_G: -0.012915 Loss_D_real: -0.004720 Loss_D_fake 0.015548
[1133/5000][45/535][116804] Loss_D: -0.020732 Loss_G: 0.010749 Loss_D_real: -0.017927 Loss_D_fake 0.002805
[1133/5000][50/535][116805] Loss_D: -0.019991 Loss_G: -0.012897 Loss_D_real: -0.009971 Loss_D_fake 0.010020
[1133/5000][55/535][116806] Loss_D: -0.021519 Loss_G: 0.010978 Loss_D_real: -0.009470 Loss_D_fake 0.012049
[1133/5000][60/535][116807] Loss_D: -0.022515 Loss_G: 0.017911 Loss_D_real: -0.017668 Loss_D_fake 0.004847
[1133/5000][65/535][116808] Loss_D: -0.020735 Loss_G: 0.005439 Loss_D_real: -0.016049 Loss_D_fake 0.004686
[1133/5000][70/535][116809] Loss_D: -0.020294 Loss_G: 0.010153 Loss_D_real: -0.016843 Loss_D_fake 0.003451
[1133/5000][75/535][116810] Loss_D: -0.021055 Loss_G: 0.004745 Loss_D_real: -0.023625 Loss_D_fake -0.002570
[1133/5000][80/535][116811] Loss_D: -0.019334 Loss_G: -0.003370 Loss_D_real: -0.016716 Loss_D_fake 0.002619
[1133/5000][85/535][116812] Loss_D: -0.021157 Loss_G: 0.019628 Loss_D_real: -0.022096 Loss_D_fake -0.000939
[1133/5000][90/535][116813] Loss_D: -0.020694 Loss_G: -0.015481 Loss_D_real: 0.003875 Loss_D_fake 0.024569
[1133/5000][95/535][116814] Loss_D: -0.021024 Loss_G: 0.021268 Loss_D_real: -0.026669 Loss_D_fake -0.005645
[1133/5000][100/535][116815] Loss_D: -0.020841 Loss_G: -0.003307 Loss_D_real: -0.006625 Loss_D_fake 0.014216
[1133/5000][105/535][116816] Loss_D: -0.022150 Loss_G: 0.013806 Loss_D_real: -0.018691 Loss_D_fake 0.003459
[1133/5000][110/535][116817] Loss_D: -0.019474 Loss_G: 0.036574 Loss_D_real: -0.029515 Loss_D_fake -0.010042
[1133/5000][115/535][116818] Loss_D: -0.021121 Loss_G: 0.006155 Loss_D_real: -0.024043 Loss_D_fake -0.002922
[1133/5000][120/535][116819] Loss_D: -0.022552 Loss_G: 0.017271 Loss_D_real: -0.004588 Loss_D_fake 0.017965
[1133/5000][125/535][116820] Loss_D: -0.020798 Loss_G: 0.014479 Loss_D_real: -0.024963 Loss_D_fake -0.004165
[1133/5000][130/535][116821] Loss_D: -0.021951 Loss_G: 0.001268 Loss_D_real: -0.034521 Loss_D_fake -0.012571
[1133/5000][135/535][116822] Loss_D: -0.020380 Loss_G: 0.000097 Loss_D_real: -0.013935 Loss_D_fake 0.006446
[1133/5000][140/535][116823] Loss_D: -0.021756 Loss_G: 0.012152 Loss_D_real: -0.020949 Loss_D_fake 0.000807
[1133/5000][145/535][116824] Loss_D: -0.020625 Loss_G: 0.019239 Loss_D_real: -0.019713 Loss_D_fake 0.000911
[1133/5000][150/535][116825] Loss_D: -0.020335 Loss_G: 0.012099 Loss_D_real: -0.031099 Loss_D_fake -0.010765
[1133/5000][155/535][116826] Loss_D: -0.022328 Loss_G: 0.005698 Loss_D_real: -0.024082 Loss_D_fake -0.001754
[1133/5000][160/535][116827] Loss_D: -0.022068 Loss_G: 0.014462 Loss_D_real: -0.021349 Loss_D_fake 0.000719
[1133/5000][165/535][116828] Loss_D: -0.021186 Loss_G: 0.007043 Loss_D_real: -0.013352 Loss_D_fake 0.007834
[1133/5000][170/535][116829] Loss_D: -0.021304 Loss_G: 0.017337 Loss_D_real: -0.019772 Loss_D_fake 0.001532
[1133/5000][175/535][116830] Loss_D: -0.019125 Loss_G: 0.021237 Loss_D_real: -0.024186 Loss_D_fake -0.005062
[1133/5000][180/535][116831] Loss_D: -0.020543 Loss_G: -0.001257 Loss_D_real: -0.014648 Loss_D_fake 0.005895
[1133/5000][185/535][116832] Loss_D: -0.022491 Loss_G: 0.002418 Loss_D_real: -0.012683 Loss_D_fake 0.009808
[1133/5000][190/535][116833] Loss_D: -0.021816 Loss_G: 0.017671 Loss_D_real: -0.023028 Loss_D_fake -0.001213
[1133/5000][195/535][116834] Loss_D: -0.020917 Loss_G: -0.004257 Loss_D_real: -0.018579 Loss_D_fake 0.002337
[1133/5000][200/535][116835] Loss_D: -0.019727 Loss_G: 0.008037 Loss_D_real: -0.024315 Loss_D_fake -0.004587
[1133/5000][205/535][116836] Loss_D: -0.021941 Loss_G: 0.008479 Loss_D_real: -0.016777 Loss_D_fake 0.005164
[1133/5000][210/535][116837] Loss_D: -0.019523 Loss_G: -0.017666 Loss_D_real: -0.015029 Loss_D_fake 0.004495
[1133/5000][215/535][116838] Loss_D: -0.021590 Loss_G: 0.023094 Loss_D_real: -0.019803 Loss_D_fake 0.001786
[1133/5000][220/535][116839] Loss_D: -0.021608 Loss_G: 0.015564 Loss_D_real: -0.022953 Loss_D_fake -0.001345
[1133/5000][225/535][116840] Loss_D: -0.020696 Loss_G: 0.015250 Loss_D_real: -0.021244 Loss_D_fake -0.000548
[1133/5000][230/535][116841] Loss_D: -0.021195 Loss_G: 0.027344 Loss_D_real: -0.023672 Loss_D_fake -0.002477
[1133/5000][235/535][116842] Loss_D: -0.020904 Loss_G: 0.009355 Loss_D_real: -0.011987 Loss_D_fake 0.008917
[1133/5000][240/535][116843] Loss_D: -0.021661 Loss_G: 0.001145 Loss_D_real: -0.002279 Loss_D_fake 0.019382
[1133/5000][245/535][116844] Loss_D: -0.021381 Loss_G: 0.000799 Loss_D_real: -0.014751 Loss_D_fake 0.006630
[1133/5000][250/535][116845] Loss_D: -0.020554 Loss_G: 0.024443 Loss_D_real: -0.023858 Loss_D_fake -0.003304
[1133/5000][255/535][116846] Loss_D: -0.019829 Loss_G: 0.021526 Loss_D_real: -0.028077 Loss_D_fake -0.008248
[1133/5000][260/535][116847] Loss_D: -0.020481 Loss_G: 0.002425 Loss_D_real: -0.018666 Loss_D_fake 0.001815
[1133/5000][265/535][116848] Loss_D: -0.021799 Loss_G: 0.006211 Loss_D_real: -0.027539 Loss_D_fake -0.005740
[1133/5000][270/535][116849] Loss_D: -0.022326 Loss_G: -0.001657 Loss_D_real: -0.010054 Loss_D_fake 0.012272
[1133/5000][275/535][116850] Loss_D: -0.022010 Loss_G: 0.006646 Loss_D_real: -0.029884 Loss_D_fake -0.007874
[1133/5000][280/535][116851] Loss_D: -0.021011 Loss_G: -0.000696 Loss_D_real: -0.011829 Loss_D_fake 0.009182
[1133/5000][285/535][116852] Loss_D: -0.020959 Loss_G: 0.008154 Loss_D_real: 0.001096 Loss_D_fake 0.022056
[1133/5000][290/535][116853] Loss_D: -0.020833 Loss_G: 0.006078 Loss_D_real: -0.024180 Loss_D_fake -0.003346
[1133/5000][295/535][116854] Loss_D: -0.022254 Loss_G: 0.018989 Loss_D_real: -0.032033 Loss_D_fake -0.009780
[1133/5000][300/535][116855] Loss_D: -0.023098 Loss_G: 0.024732 Loss_D_real: -0.020385 Loss_D_fake 0.002713
[1133/5000][305/535][116856] Loss_D: -0.021405 Loss_G: 0.014516 Loss_D_real: -0.029546 Loss_D_fake -0.008141
[1133/5000][310/535][116857] Loss_D: -0.021922 Loss_G: 0.015764 Loss_D_real: -0.020097 Loss_D_fake 0.001825
[1133/5000][315/535][116858] Loss_D: -0.022230 Loss_G: 0.001726 Loss_D_real: -0.023556 Loss_D_fake -0.001326
[1133/5000][320/535][116859] Loss_D: -0.021375 Loss_G: -0.014947 Loss_D_real: -0.004836 Loss_D_fake 0.016540
[1133/5000][325/535][116860] Loss_D: -0.021506 Loss_G: 0.000483 Loss_D_real: -0.006412 Loss_D_fake 0.015094
[1133/5000][330/535][116861] Loss_D: -0.019640 Loss_G: 0.007821 Loss_D_real: -0.016884 Loss_D_fake 0.002755
[1133/5000][335/535][116862] Loss_D: -0.019774 Loss_G: -0.019628 Loss_D_real: 0.004256 Loss_D_fake 0.024030
[1133/5000][340/535][116863] Loss_D: -0.020252 Loss_G: 0.004629 Loss_D_real: -0.023368 Loss_D_fake -0.003116
[1133/5000][345/535][116864] Loss_D: -0.020539 Loss_G: 0.018011 Loss_D_real: -0.023934 Loss_D_fake -0.003394
[1133/5000][350/535][116865] Loss_D: -0.021463 Loss_G: 0.003809 Loss_D_real: -0.015369 Loss_D_fake 0.006094
[1133/5000][355/535][116866] Loss_D: -0.020319 Loss_G: -0.002121 Loss_D_real: -0.002081 Loss_D_fake 0.018239
[1133/5000][360/535][116867] Loss_D: -0.021028 Loss_G: 0.022234 Loss_D_real: -0.033299 Loss_D_fake -0.012271
[1133/5000][365/535][116868] Loss_D: -0.019974 Loss_G: -0.007220 Loss_D_real: -0.003983 Loss_D_fake 0.015992
[1133/5000][370/535][116869] Loss_D: -0.020446 Loss_G: 0.016670 Loss_D_real: -0.016222 Loss_D_fake 0.004223
[1133/5000][375/535][116870] Loss_D: -0.021948 Loss_G: 0.009117 Loss_D_real: -0.019643 Loss_D_fake 0.002305
[1133/5000][380/535][116871] Loss_D: -0.021448 Loss_G: -0.010771 Loss_D_real: -0.002782 Loss_D_fake 0.018666
[1133/5000][385/535][116872] Loss_D: -0.021116 Loss_G: 0.021659 Loss_D_real: -0.019985 Loss_D_fake 0.001130
[1133/5000][390/535][116873] Loss_D: -0.019908 Loss_G: 0.025059 Loss_D_real: -0.038407 Loss_D_fake -0.018498
[1133/5000][395/535][116874] Loss_D: -0.021561 Loss_G: -0.007376 Loss_D_real: -0.008268 Loss_D_fake 0.013294
[1133/5000][400/535][116875] Loss_D: -0.021039 Loss_G: 0.010302 Loss_D_real: -0.023087 Loss_D_fake -0.002048
[1133/5000][405/535][116876] Loss_D: -0.020568 Loss_G: 0.005383 Loss_D_real: -0.009718 Loss_D_fake 0.010850
[1133/5000][410/535][116877] Loss_D: -0.021345 Loss_G: 0.002109 Loss_D_real: -0.018738 Loss_D_fake 0.002607
[1133/5000][415/535][116878] Loss_D: -0.021486 Loss_G: 0.004318 Loss_D_real: -0.023249 Loss_D_fake -0.001763
[1133/5000][420/535][116879] Loss_D: -0.021440 Loss_G: -0.011252 Loss_D_real: -0.018851 Loss_D_fake 0.002589
[1133/5000][425/535][116880] Loss_D: -0.020554 Loss_G: 0.010179 Loss_D_real: -0.022032 Loss_D_fake -0.001478
[1133/5000][430/535][116881] Loss_D: -0.020674 Loss_G: 0.031415 Loss_D_real: -0.030694 Loss_D_fake -0.010020
[1133/5000][435/535][116882] Loss_D: -0.021905 Loss_G: 0.008204 Loss_D_real: -0.016371 Loss_D_fake 0.005534
[1133/5000][440/535][116883] Loss_D: -0.021000 Loss_G: -0.004056 Loss_D_real: -0.007820 Loss_D_fake 0.013180
[1133/5000][445/535][116884] Loss_D: -0.020100 Loss_G: 0.025487 Loss_D_real: -0.019749 Loss_D_fake 0.000350
[1133/5000][450/535][116885] Loss_D: -0.022063 Loss_G: 0.007439 Loss_D_real: -0.015208 Loss_D_fake 0.006855
[1133/5000][455/535][116886] Loss_D: -0.021584 Loss_G: 0.008649 Loss_D_real: -0.013709 Loss_D_fake 0.007874
[1133/5000][460/535][116887] Loss_D: -0.022199 Loss_G: 0.012651 Loss_D_real: -0.026921 Loss_D_fake -0.004723
[1133/5000][465/535][116888] Loss_D: -0.022028 Loss_G: -0.015616 Loss_D_real: -0.016500 Loss_D_fake 0.005528
[1133/5000][470/535][116889] Loss_D: -0.021032 Loss_G: 0.016471 Loss_D_real: -0.022283 Loss_D_fake -0.001251
[1133/5000][475/535][116890] Loss_D: -0.021665 Loss_G: -0.010495 Loss_D_real: -0.008336 Loss_D_fake 0.013329
[1133/5000][480/535][116891] Loss_D: -0.020174 Loss_G: -0.000893 Loss_D_real: -0.013780 Loss_D_fake 0.006394
[1133/5000][485/535][116892] Loss_D: -0.020844 Loss_G: -0.004165 Loss_D_real: -0.006184 Loss_D_fake 0.014660
[1133/5000][490/535][116893] Loss_D: -0.021690 Loss_G: 0.020735 Loss_D_real: -0.019495 Loss_D_fake 0.002195
[1133/5000][495/535][116894] Loss_D: -0.022288 Loss_G: -0.009281 Loss_D_real: -0.019762 Loss_D_fake 0.002525
[1133/5000][500/535][116895] Loss_D: -0.020760 Loss_G: 0.007140 Loss_D_real: -0.015433 Loss_D_fake 0.005327
[1133/5000][505/535][116896] Loss_D: -0.021146 Loss_G: 0.000755 Loss_D_real: -0.009442 Loss_D_fake 0.011704
[1133/5000][510/535][116897] Loss_D: -0.021427 Loss_G: 0.003364 Loss_D_real: -0.010719 Loss_D_fake 0.010707
[1133/5000][515/535][116898] Loss_D: -0.020412 Loss_G: 0.016078 Loss_D_real: -0.022505 Loss_D_fake -0.002093
[1133/5000][520/535][116899] Loss_D: -0.021416 Loss_G: 0.015335 Loss_D_real: -0.022195 Loss_D_fake -0.000779
[1133/5000][525/535][116900] Loss_D: -0.021351 Loss_G: 0.020458 Loss_D_real: -0.022548 Loss_D_fake -0.001197
[1133/5000][530/535][116901] Loss_D: -0.021929 Loss_G: -0.004848 Loss_D_real: -0.001892 Loss_D_fake 0.020037
[1133/5000][535/535][116902] Loss_D: -0.019356 Loss_G: -0.039731 Loss_D_real: -0.017547 Loss_D_fake 0.001809
[1134/5000][5/535][116903] Loss_D: -0.020476 Loss_G: -0.001221 Loss_D_real: -0.000881 Loss_D_fake 0.019595
[1134/5000][10/535][116904] Loss_D: -0.020013 Loss_G: 0.012121 Loss_D_real: -0.018887 Loss_D_fake 0.001126
[1134/5000][15/535][116905] Loss_D: -0.018713 Loss_G: -0.005549 Loss_D_real: -0.003201 Loss_D_fake 0.015512
[1134/5000][20/535][116906] Loss_D: -0.020047 Loss_G: 0.005734 Loss_D_real: -0.015372 Loss_D_fake 0.004675
[1134/5000][25/535][116907] Loss_D: -0.019887 Loss_G: 0.006439 Loss_D_real: -0.030267 Loss_D_fake -0.010379
[1134/5000][30/535][116908] Loss_D: -0.020569 Loss_G: 0.006512 Loss_D_real: -0.009564 Loss_D_fake 0.011005
[1134/5000][35/535][116909] Loss_D: -0.020773 Loss_G: 0.021246 Loss_D_real: -0.025519 Loss_D_fake -0.004746
[1134/5000][40/535][116910] Loss_D: -0.022436 Loss_G: 0.004187 Loss_D_real: -0.016184 Loss_D_fake 0.006252
[1134/5000][45/535][116911] Loss_D: -0.020685 Loss_G: 0.010223 Loss_D_real: -0.016474 Loss_D_fake 0.004211
[1134/5000][50/535][116912] Loss_D: -0.021386 Loss_G: 0.025752 Loss_D_real: -0.016803 Loss_D_fake 0.004584
[1134/5000][55/535][116913] Loss_D: -0.021037 Loss_G: -0.010740 Loss_D_real: -0.006911 Loss_D_fake 0.014126
[1134/5000][60/535][116914] Loss_D: -0.019967 Loss_G: -0.007779 Loss_D_real: -0.010239 Loss_D_fake 0.009729
[1134/5000][65/535][116915] Loss_D: -0.021481 Loss_G: 0.013912 Loss_D_real: -0.006132 Loss_D_fake 0.015350
[1134/5000][70/535][116916] Loss_D: -0.021837 Loss_G: 0.000905 Loss_D_real: -0.017776 Loss_D_fake 0.004061
[1134/5000][75/535][116917] Loss_D: -0.021697 Loss_G: 0.011895 Loss_D_real: -0.022025 Loss_D_fake -0.000329
[1134/5000][80/535][116918] Loss_D: -0.019907 Loss_G: 0.012470 Loss_D_real: -0.039169 Loss_D_fake -0.019262
[1134/5000][85/535][116919] Loss_D: -0.021335 Loss_G: -0.005786 Loss_D_real: -0.012604 Loss_D_fake 0.008732
[1134/5000][90/535][116920] Loss_D: -0.021020 Loss_G: 0.019460 Loss_D_real: -0.021929 Loss_D_fake -0.000909
[1134/5000][95/535][116921] Loss_D: -0.021177 Loss_G: 0.008775 Loss_D_real: -0.018026 Loss_D_fake 0.003151
[1134/5000][100/535][116922] Loss_D: -0.021881 Loss_G: 0.002332 Loss_D_real: -0.015448 Loss_D_fake 0.006433
[1134/5000][105/535][116923] Loss_D: -0.020617 Loss_G: 0.019147 Loss_D_real: -0.029061 Loss_D_fake -0.008444
[1134/5000][110/535][116924] Loss_D: -0.020878 Loss_G: -0.008726 Loss_D_real: 0.003742 Loss_D_fake 0.024620
[1134/5000][115/535][116925] Loss_D: -0.022682 Loss_G: 0.017162 Loss_D_real: -0.021550 Loss_D_fake 0.001131
[1134/5000][120/535][116926] Loss_D: -0.021527 Loss_G: -0.012474 Loss_D_real: -0.006064 Loss_D_fake 0.015463
[1134/5000][125/535][116927] Loss_D: -0.020895 Loss_G: 0.000360 Loss_D_real: -0.011994 Loss_D_fake 0.008901
[1134/5000][130/535][116928] Loss_D: -0.020905 Loss_G: 0.004453 Loss_D_real: -0.020279 Loss_D_fake 0.000626
[1134/5000][135/535][116929] Loss_D: -0.020916 Loss_G: -0.001169 Loss_D_real: -0.006278 Loss_D_fake 0.014638
[1134/5000][140/535][116930] Loss_D: -0.021855 Loss_G: 0.002970 Loss_D_real: -0.006221 Loss_D_fake 0.015634
[1134/5000][145/535][116931] Loss_D: -0.020042 Loss_G: 0.004878 Loss_D_real: -0.014914 Loss_D_fake 0.005128
[1134/5000][150/535][116932] Loss_D: -0.021291 Loss_G: 0.020943 Loss_D_real: -0.027747 Loss_D_fake -0.006456
[1134/5000][155/535][116933] Loss_D: -0.021169 Loss_G: 0.026226 Loss_D_real: -0.023407 Loss_D_fake -0.002238
[1134/5000][160/535][116934] Loss_D: -0.020674 Loss_G: -0.009685 Loss_D_real: 0.002404 Loss_D_fake 0.023079
[1134/5000][165/535][116935] Loss_D: -0.021282 Loss_G: -0.003014 Loss_D_real: -0.007031 Loss_D_fake 0.014251
[1134/5000][170/535][116936] Loss_D: -0.020753 Loss_G: -0.009603 Loss_D_real: -0.010381 Loss_D_fake 0.010372
[1134/5000][175/535][116937] Loss_D: -0.020500 Loss_G: -0.007028 Loss_D_real: -0.004942 Loss_D_fake 0.015559
[1134/5000][180/535][116938] Loss_D: -0.021018 Loss_G: 0.021759 Loss_D_real: -0.027308 Loss_D_fake -0.006290
[1134/5000][185/535][116939] Loss_D: -0.021773 Loss_G: 0.003587 Loss_D_real: -0.011429 Loss_D_fake 0.010344
[1134/5000][190/535][116940] Loss_D: -0.020535 Loss_G: 0.010145 Loss_D_real: -0.022639 Loss_D_fake -0.002104
[1134/5000][195/535][116941] Loss_D: -0.020694 Loss_G: 0.021626 Loss_D_real: -0.025429 Loss_D_fake -0.004735
[1134/5000][200/535][116942] Loss_D: -0.020119 Loss_G: 0.012758 Loss_D_real: -0.014201 Loss_D_fake 0.005918
[1134/5000][205/535][116943] Loss_D: -0.019282 Loss_G: 0.018795 Loss_D_real: -0.035210 Loss_D_fake -0.015928
[1134/5000][210/535][116944] Loss_D: -0.020146 Loss_G: 0.014973 Loss_D_real: -0.014963 Loss_D_fake 0.005183
[1134/5000][215/535][116945] Loss_D: -0.021460 Loss_G: 0.011707 Loss_D_real: -0.018107 Loss_D_fake 0.003353
[1134/5000][220/535][116946] Loss_D: -0.019925 Loss_G: -0.000742 Loss_D_real: -0.009019 Loss_D_fake 0.010906
[1134/5000][225/535][116947] Loss_D: -0.022692 Loss_G: 0.019099 Loss_D_real: -0.017453 Loss_D_fake 0.005238
[1134/5000][230/535][116948] Loss_D: -0.021947 Loss_G: 0.009753 Loss_D_real: -0.019343 Loss_D_fake 0.002604
[1134/5000][235/535][116949] Loss_D: -0.021147 Loss_G: -0.000483 Loss_D_real: -0.011714 Loss_D_fake 0.009433
[1134/5000][240/535][116950] Loss_D: -0.020233 Loss_G: 0.014918 Loss_D_real: -0.034051 Loss_D_fake -0.013818
[1134/5000][245/535][116951] Loss_D: -0.022837 Loss_G: 0.001892 Loss_D_real: -0.011455 Loss_D_fake 0.011382
[1134/5000][250/535][116952] Loss_D: -0.021882 Loss_G: 0.018991 Loss_D_real: -0.021057 Loss_D_fake 0.000826
[1134/5000][255/535][116953] Loss_D: -0.021919 Loss_G: 0.001048 Loss_D_real: -0.018048 Loss_D_fake 0.003871
[1134/5000][260/535][116954] Loss_D: -0.021430 Loss_G: 0.014257 Loss_D_real: -0.010919 Loss_D_fake 0.010511
[1134/5000][265/535][116955] Loss_D: -0.020883 Loss_G: 0.019227 Loss_D_real: -0.021037 Loss_D_fake -0.000154
[1134/5000][270/535][116956] Loss_D: -0.021338 Loss_G: 0.011449 Loss_D_real: -0.023152 Loss_D_fake -0.001814
[1134/5000][275/535][116957] Loss_D: -0.021725 Loss_G: 0.011895 Loss_D_real: -0.016990 Loss_D_fake 0.004735
[1134/5000][280/535][116958] Loss_D: -0.020377 Loss_G: 0.019805 Loss_D_real: -0.024036 Loss_D_fake -0.003659
[1134/5000][285/535][116959] Loss_D: -0.020960 Loss_G: 0.004336 Loss_D_real: -0.012883 Loss_D_fake 0.008076
[1134/5000][290/535][116960] Loss_D: -0.020217 Loss_G: 0.006368 Loss_D_real: -0.031506 Loss_D_fake -0.011289
[1134/5000][295/535][116961] Loss_D: -0.021517 Loss_G: 0.000951 Loss_D_real: -0.016507 Loss_D_fake 0.005010
[1134/5000][300/535][116962] Loss_D: -0.020964 Loss_G: 0.013973 Loss_D_real: -0.027844 Loss_D_fake -0.006880
[1134/5000][305/535][116963] Loss_D: -0.019856 Loss_G: 0.018972 Loss_D_real: -0.039323 Loss_D_fake -0.019468
[1134/5000][310/535][116964] Loss_D: -0.020353 Loss_G: -0.016788 Loss_D_real: -0.002312 Loss_D_fake 0.018041
[1134/5000][315/535][116965] Loss_D: -0.022203 Loss_G: 0.003663 Loss_D_real: -0.012953 Loss_D_fake 0.009250
[1134/5000][320/535][116966] Loss_D: -0.022639 Loss_G: 0.012795 Loss_D_real: -0.030559 Loss_D_fake -0.007920
[1134/5000][325/535][116967] Loss_D: -0.020753 Loss_G: 0.012099 Loss_D_real: -0.025594 Loss_D_fake -0.004841
[1134/5000][330/535][116968] Loss_D: -0.020602 Loss_G: 0.026552 Loss_D_real: -0.036048 Loss_D_fake -0.015446
[1134/5000][335/535][116969] Loss_D: -0.020789 Loss_G: 0.002538 Loss_D_real: -0.007210 Loss_D_fake 0.013580
[1134/5000][340/535][116970] Loss_D: -0.020860 Loss_G: 0.006107 Loss_D_real: -0.020219 Loss_D_fake 0.000641
[1134/5000][345/535][116971] Loss_D: -0.022063 Loss_G: 0.015705 Loss_D_real: -0.016033 Loss_D_fake 0.006029
[1134/5000][350/535][116972] Loss_D: -0.020172 Loss_G: 0.025921 Loss_D_real: -0.019957 Loss_D_fake 0.000214
[1134/5000][355/535][116973] Loss_D: -0.020315 Loss_G: 0.008314 Loss_D_real: -0.026210 Loss_D_fake -0.005895
[1134/5000][360/535][116974] Loss_D: -0.021151 Loss_G: 0.015902 Loss_D_real: -0.024757 Loss_D_fake -0.003606
[1134/5000][365/535][116975] Loss_D: -0.019900 Loss_G: 0.018602 Loss_D_real: -0.031736 Loss_D_fake -0.011836
[1134/5000][370/535][116976] Loss_D: -0.020625 Loss_G: 0.000874 Loss_D_real: -0.013783 Loss_D_fake 0.006841
[1134/5000][375/535][116977] Loss_D: -0.019983 Loss_G: 0.009399 Loss_D_real: -0.024792 Loss_D_fake -0.004808
[1134/5000][380/535][116978] Loss_D: -0.020661 Loss_G: 0.016103 Loss_D_real: -0.025656 Loss_D_fake -0.004995
[1134/5000][385/535][116979] Loss_D: -0.021322 Loss_G: 0.000335 Loss_D_real: -0.002561 Loss_D_fake 0.018762
[1134/5000][390/535][116980] Loss_D: -0.019875 Loss_G: 0.011537 Loss_D_real: -0.024026 Loss_D_fake -0.004151
[1134/5000][395/535][116981] Loss_D: -0.019739 Loss_G: 0.013324 Loss_D_real: -0.022421 Loss_D_fake -0.002683
[1134/5000][400/535][116982] Loss_D: -0.020676 Loss_G: 0.012873 Loss_D_real: -0.035008 Loss_D_fake -0.014332
[1134/5000][405/535][116983] Loss_D: -0.022286 Loss_G: 0.006694 Loss_D_real: -0.029752 Loss_D_fake -0.007465
[1134/5000][410/535][116984] Loss_D: -0.022174 Loss_G: 0.012416 Loss_D_real: -0.025805 Loss_D_fake -0.003631
[1134/5000][415/535][116985] Loss_D: -0.021152 Loss_G: -0.001212 Loss_D_real: -0.013879 Loss_D_fake 0.007274
[1134/5000][420/535][116986] Loss_D: -0.022104 Loss_G: 0.010077 Loss_D_real: -0.016320 Loss_D_fake 0.005783
[1134/5000][425/535][116987] Loss_D: -0.020190 Loss_G: 0.023320 Loss_D_real: -0.025888 Loss_D_fake -0.005698
[1134/5000][430/535][116988] Loss_D: -0.019929 Loss_G: -0.018064 Loss_D_real: -0.001943 Loss_D_fake 0.017986
[1134/5000][435/535][116989] Loss_D: -0.021008 Loss_G: 0.004621 Loss_D_real: -0.024441 Loss_D_fake -0.003433
[1134/5000][440/535][116990] Loss_D: -0.019865 Loss_G: 0.014532 Loss_D_real: -0.019719 Loss_D_fake 0.000146
[1134/5000][445/535][116991] Loss_D: -0.020155 Loss_G: -0.004412 Loss_D_real: -0.009169 Loss_D_fake 0.010986
[1134/5000][450/535][116992] Loss_D: -0.019631 Loss_G: 0.030534 Loss_D_real: -0.020078 Loss_D_fake -0.000447
[1134/5000][455/535][116993] Loss_D: -0.021510 Loss_G: 0.002653 Loss_D_real: -0.017127 Loss_D_fake 0.004383
[1134/5000][460/535][116994] Loss_D: -0.019598 Loss_G: 0.011611 Loss_D_real: -0.036374 Loss_D_fake -0.016775
[1134/5000][465/535][116995] Loss_D: -0.022014 Loss_G: 0.005043 Loss_D_real: -0.014321 Loss_D_fake 0.007693
[1134/5000][470/535][116996] Loss_D: -0.020398 Loss_G: -0.004027 Loss_D_real: -0.008448 Loss_D_fake 0.011950
[1134/5000][475/535][116997] Loss_D: -0.020756 Loss_G: -0.002223 Loss_D_real: -0.015154 Loss_D_fake 0.005603
[1134/5000][480/535][116998] Loss_D: -0.021870 Loss_G: 0.007999 Loss_D_real: -0.023037 Loss_D_fake -0.001167
[1134/5000][485/535][116999] Loss_D: -0.021114 Loss_G: 0.008510 Loss_D_real: -0.018139 Loss_D_fake 0.002975
[1134/5000][490/535][117000] Loss_D: -0.021310 Loss_G: 0.007531 Loss_D_real: -0.022837 Loss_D_fake -0.001527
[1134/5000][535/535][117001] Loss_D: -0.024591 Loss_G: -0.002967 Loss_D_real: -0.008421 Loss_D_fake 0.016170
[1135/5000][5/535][117002] Loss_D: -0.023356 Loss_G: 0.024749 Loss_D_real: -0.018138 Loss_D_fake 0.005219
[1135/5000][10/535][117003] Loss_D: -0.019883 Loss_G: 0.003171 Loss_D_real: -0.022390 Loss_D_fake -0.002507
[1135/5000][15/535][117004] Loss_D: -0.020173 Loss_G: 0.008833 Loss_D_real: -0.012697 Loss_D_fake 0.007476
[1135/5000][20/535][117005] Loss_D: -0.020442 Loss_G: -0.003015 Loss_D_real: -0.004573 Loss_D_fake 0.015869
[1135/5000][25/535][117006] Loss_D: -0.019630 Loss_G: 0.020636 Loss_D_real: -0.024853 Loss_D_fake -0.005223
[1135/5000][30/535][117007] Loss_D: -0.020323 Loss_G: 0.020500 Loss_D_real: -0.029302 Loss_D_fake -0.008978
[1135/5000][35/535][117008] Loss_D: -0.023686 Loss_G: 0.012349 Loss_D_real: -0.028117 Loss_D_fake -0.004431
[1135/5000][40/535][117009] Loss_D: -0.019717 Loss_G: 0.012808 Loss_D_real: -0.014201 Loss_D_fake 0.005516
[1135/5000][45/535][117010] Loss_D: -0.020170 Loss_G: 0.001210 Loss_D_real: 0.003489 Loss_D_fake 0.023659
[1135/5000][50/535][117011] Loss_D: -0.020144 Loss_G: 0.014998 Loss_D_real: -0.028532 Loss_D_fake -0.008387
[1135/5000][55/535][117012] Loss_D: -0.020699 Loss_G: -0.003505 Loss_D_real: -0.017284 Loss_D_fake 0.003414
[1135/5000][60/535][117013] Loss_D: -0.021474 Loss_G: 0.010119 Loss_D_real: -0.015469 Loss_D_fake 0.006005
[1135/5000][65/535][117014] Loss_D: -0.019791 Loss_G: -0.006454 Loss_D_real: 0.006588 Loss_D_fake 0.026378
[1135/5000][70/535][117015] Loss_D: -0.022272 Loss_G: 0.001615 Loss_D_real: -0.008640 Loss_D_fake 0.013632
[1135/5000][75/535][117016] Loss_D: -0.021921 Loss_G: 0.001983 Loss_D_real: -0.006640 Loss_D_fake 0.015281
[1135/5000][80/535][117017] Loss_D: -0.020792 Loss_G: 0.021667 Loss_D_real: -0.030196 Loss_D_fake -0.009403
[1135/5000][85/535][117018] Loss_D: -0.021542 Loss_G: 0.003685 Loss_D_real: -0.010404 Loss_D_fake 0.011138
[1135/5000][90/535][117019] Loss_D: -0.021050 Loss_G: 0.004926 Loss_D_real: -0.013988 Loss_D_fake 0.007062
[1135/5000][95/535][117020] Loss_D: -0.021862 Loss_G: 0.005133 Loss_D_real: -0.009046 Loss_D_fake 0.012817
[1135/5000][100/535][117021] Loss_D: -0.020718 Loss_G: 0.005391 Loss_D_real: -0.028087 Loss_D_fake -0.007369
[1135/5000][105/535][117022] Loss_D: -0.018750 Loss_G: 0.028740 Loss_D_real: -0.031133 Loss_D_fake -0.012383
[1135/5000][110/535][117023] Loss_D: -0.021596 Loss_G: -0.012655 Loss_D_real: -0.001478 Loss_D_fake 0.020118
[1135/5000][115/535][117024] Loss_D: -0.019554 Loss_G: 0.018987 Loss_D_real: -0.030551 Loss_D_fake -0.010998
[1135/5000][120/535][117025] Loss_D: -0.021225 Loss_G: 0.020420 Loss_D_real: -0.023165 Loss_D_fake -0.001940
[1135/5000][125/535][117026] Loss_D: -0.021847 Loss_G: -0.005020 Loss_D_real: -0.004240 Loss_D_fake 0.017607
[1135/5000][130/535][117027] Loss_D: -0.020878 Loss_G: 0.000586 Loss_D_real: -0.017535 Loss_D_fake 0.003343
[1135/5000][135/535][117028] Loss_D: -0.020730 Loss_G: 0.004618 Loss_D_real: -0.025113 Loss_D_fake -0.004383
[1135/5000][140/535][117029] Loss_D: -0.019692 Loss_G: 0.008792 Loss_D_real: -0.021342 Loss_D_fake -0.001650
[1135/5000][145/535][117030] Loss_D: -0.021284 Loss_G: 0.007812 Loss_D_real: -0.008670 Loss_D_fake 0.012613
[1135/5000][150/535][117031] Loss_D: -0.020710 Loss_G: 0.024965 Loss_D_real: -0.027164 Loss_D_fake -0.006454
[1135/5000][155/535][117032] Loss_D: -0.020432 Loss_G: 0.012955 Loss_D_real: -0.029451 Loss_D_fake -0.009019
[1135/5000][160/535][117033] Loss_D: -0.020529 Loss_G: 0.008923 Loss_D_real: -0.012107 Loss_D_fake 0.008422
[1135/5000][165/535][117034] Loss_D: -0.020062 Loss_G: 0.001347 Loss_D_real: -0.016843 Loss_D_fake 0.003219
[1135/5000][170/535][117035] Loss_D: -0.021880 Loss_G: 0.014117 Loss_D_real: -0.007916 Loss_D_fake 0.013964
[1135/5000][175/535][117036] Loss_D: -0.020352 Loss_G: 0.007874 Loss_D_real: -0.028715 Loss_D_fake -0.008363
[1135/5000][180/535][117037] Loss_D: -0.021319 Loss_G: 0.007458 Loss_D_real: -0.014692 Loss_D_fake 0.006628
[1135/5000][185/535][117038] Loss_D: -0.018047 Loss_G: 0.029983 Loss_D_real: -0.028402 Loss_D_fake -0.010355
[1135/5000][190/535][117039] Loss_D: -0.020247 Loss_G: 0.003067 Loss_D_real: -0.011042 Loss_D_fake 0.009205
[1135/5000][195/535][117040] Loss_D: -0.021517 Loss_G: -0.011309 Loss_D_real: -0.007212 Loss_D_fake 0.014306
[1135/5000][200/535][117041] Loss_D: -0.020765 Loss_G: 0.011976 Loss_D_real: -0.020445 Loss_D_fake 0.000321
[1135/5000][205/535][117042] Loss_D: -0.020416 Loss_G: 0.015849 Loss_D_real: -0.030534 Loss_D_fake -0.010118
[1135/5000][210/535][117043] Loss_D: -0.021003 Loss_G: -0.005113 Loss_D_real: -0.013436 Loss_D_fake 0.007567
[1135/5000][215/535][117044] Loss_D: -0.021780 Loss_G: 0.003190 Loss_D_real: -0.004382 Loss_D_fake 0.017399
[1135/5000][220/535][117045] Loss_D: -0.020949 Loss_G: 0.007567 Loss_D_real: -0.016734 Loss_D_fake 0.004215
[1135/5000][225/535][117046] Loss_D: -0.019028 Loss_G: 0.024987 Loss_D_real: -0.029313 Loss_D_fake -0.010285
[1135/5000][230/535][117047] Loss_D: -0.021620 Loss_G: 0.006350 Loss_D_real: -0.001045 Loss_D_fake 0.020576
[1135/5000][235/535][117048] Loss_D: -0.021951 Loss_G: -0.004335 Loss_D_real: -0.016795 Loss_D_fake 0.005156
[1135/5000][240/535][117049] Loss_D: -0.021858 Loss_G: -0.010179 Loss_D_real: -0.008511 Loss_D_fake 0.013347
[1135/5000][245/535][117050] Loss_D: -0.022266 Loss_G: -0.002011 Loss_D_real: -0.010194 Loss_D_fake 0.012072
[1135/5000][250/535][117051] Loss_D: -0.020866 Loss_G: 0.005230 Loss_D_real: -0.009907 Loss_D_fake 0.010959
[1135/5000][255/535][117052] Loss_D: -0.020783 Loss_G: -0.001531 Loss_D_real: -0.019352 Loss_D_fake 0.001431
[1135/5000][260/535][117053] Loss_D: -0.021455 Loss_G: 0.010931 Loss_D_real: -0.012935 Loss_D_fake 0.008520
[1135/5000][265/535][117054] Loss_D: -0.019481 Loss_G: 0.028083 Loss_D_real: -0.036066 Loss_D_fake -0.016584
[1135/5000][270/535][117055] Loss_D: -0.019398 Loss_G: 0.028568 Loss_D_real: -0.034060 Loss_D_fake -0.014662
[1135/5000][275/535][117056] Loss_D: -0.022560 Loss_G: 0.010246 Loss_D_real: -0.013400 Loss_D_fake 0.009160
[1135/5000][280/535][117057] Loss_D: -0.022473 Loss_G: -0.003191 Loss_D_real: -0.014520 Loss_D_fake 0.007953
[1135/5000][285/535][117058] Loss_D: -0.020259 Loss_G: 0.007585 Loss_D_real: -0.020454 Loss_D_fake -0.000195
[1135/5000][290/535][117059] Loss_D: -0.020496 Loss_G: -0.008488 Loss_D_real: -0.002443 Loss_D_fake 0.018053
[1135/5000][295/535][117060] Loss_D: -0.021880 Loss_G: 0.009598 Loss_D_real: -0.016883 Loss_D_fake 0.004997
[1135/5000][300/535][117061] Loss_D: -0.019716 Loss_G: -0.002825 Loss_D_real: -0.011734 Loss_D_fake 0.007982
[1135/5000][305/535][117062] Loss_D: -0.021396 Loss_G: -0.004876 Loss_D_real: -0.015540 Loss_D_fake 0.005856
[1135/5000][310/535][117063] Loss_D: -0.020968 Loss_G: -0.005184 Loss_D_real: -0.003499 Loss_D_fake 0.017469
[1135/5000][315/535][117064] Loss_D: -0.022325 Loss_G: 0.010313 Loss_D_real: -0.009904 Loss_D_fake 0.012422
[1135/5000][320/535][117065] Loss_D: -0.019513 Loss_G: 0.014344 Loss_D_real: -0.029310 Loss_D_fake -0.009797
[1135/5000][325/535][117066] Loss_D: -0.020293 Loss_G: 0.012558 Loss_D_real: -0.020513 Loss_D_fake -0.000220
[1135/5000][330/535][117067] Loss_D: -0.020673 Loss_G: 0.017872 Loss_D_real: -0.024816 Loss_D_fake -0.004143
[1135/5000][335/535][117068] Loss_D: -0.020246 Loss_G: 0.010689 Loss_D_real: -0.008942 Loss_D_fake 0.011303
[1135/5000][340/535][117069] Loss_D: -0.021041 Loss_G: 0.003444 Loss_D_real: -0.020002 Loss_D_fake 0.001039
[1135/5000][345/535][117070] Loss_D: -0.020324 Loss_G: 0.012425 Loss_D_real: -0.019368 Loss_D_fake 0.000956
[1135/5000][350/535][117071] Loss_D: -0.020055 Loss_G: -0.004707 Loss_D_real: -0.015062 Loss_D_fake 0.004993
[1135/5000][355/535][117072] Loss_D: -0.020553 Loss_G: 0.019376 Loss_D_real: -0.029751 Loss_D_fake -0.009199
[1135/5000][360/535][117073] Loss_D: -0.020897 Loss_G: -0.011958 Loss_D_real: -0.005295 Loss_D_fake 0.015602
[1135/5000][365/535][117074] Loss_D: -0.020594 Loss_G: 0.003527 Loss_D_real: -0.005147 Loss_D_fake 0.015447
[1135/5000][370/535][117075] Loss_D: -0.020557 Loss_G: 0.019586 Loss_D_real: -0.031443 Loss_D_fake -0.010886
[1135/5000][375/535][117076] Loss_D: -0.021033 Loss_G: 0.015168 Loss_D_real: -0.018892 Loss_D_fake 0.002140
[1135/5000][380/535][117077] Loss_D: -0.020034 Loss_G: 0.018072 Loss_D_real: -0.033748 Loss_D_fake -0.013714
[1135/5000][385/535][117078] Loss_D: -0.020862 Loss_G: -0.015184 Loss_D_real: -0.002699 Loss_D_fake 0.018163
[1135/5000][390/535][117079] Loss_D: -0.020332 Loss_G: 0.003391 Loss_D_real: -0.016235 Loss_D_fake 0.004096
[1135/5000][395/535][117080] Loss_D: -0.020925 Loss_G: 0.014508 Loss_D_real: -0.025166 Loss_D_fake -0.004242
[1135/5000][400/535][117081] Loss_D: -0.021377 Loss_G: -0.002222 Loss_D_real: -0.014997 Loss_D_fake 0.006381
[1135/5000][405/535][117082] Loss_D: -0.022540 Loss_G: 0.013227 Loss_D_real: -0.019002 Loss_D_fake 0.003538
[1135/5000][410/535][117083] Loss_D: -0.021496 Loss_G: 0.002792 Loss_D_real: -0.013237 Loss_D_fake 0.008259
[1135/5000][415/535][117084] Loss_D: -0.021116 Loss_G: 0.017557 Loss_D_real: -0.021575 Loss_D_fake -0.000459
[1135/5000][420/535][117085] Loss_D: -0.021202 Loss_G: 0.001683 Loss_D_real: -0.017962 Loss_D_fake 0.003241
[1135/5000][425/535][117086] Loss_D: -0.021192 Loss_G: 0.004734 Loss_D_real: -0.015524 Loss_D_fake 0.005667
[1135/5000][430/535][117087] Loss_D: -0.020949 Loss_G: 0.009258 Loss_D_real: -0.018509 Loss_D_fake 0.002441
[1135/5000][435/535][117088] Loss_D: -0.021899 Loss_G: 0.002344 Loss_D_real: -0.012575 Loss_D_fake 0.009323
[1135/5000][440/535][117089] Loss_D: -0.020973 Loss_G: 0.016855 Loss_D_real: -0.027626 Loss_D_fake -0.006653
[1135/5000][445/535][117090] Loss_D: -0.021472 Loss_G: -0.006892 Loss_D_real: -0.009666 Loss_D_fake 0.011807
[1135/5000][450/535][117091] Loss_D: -0.019264 Loss_G: -0.016977 Loss_D_real: -0.000554 Loss_D_fake 0.018710
[1135/5000][455/535][117092] Loss_D: -0.020144 Loss_G: 0.011371 Loss_D_real: -0.022061 Loss_D_fake -0.001916
[1135/5000][460/535][117093] Loss_D: -0.021005 Loss_G: -0.006744 Loss_D_real: -0.008833 Loss_D_fake 0.012171
[1135/5000][465/535][117094] Loss_D: -0.020233 Loss_G: 0.007943 Loss_D_real: -0.015332 Loss_D_fake 0.004901
[1135/5000][470/535][117095] Loss_D: -0.019806 Loss_G: 0.025232 Loss_D_real: -0.034383 Loss_D_fake -0.014577
[1135/5000][475/535][117096] Loss_D: -0.021112 Loss_G: 0.009573 Loss_D_real: -0.021261 Loss_D_fake -0.000149
[1135/5000][480/535][117097] Loss_D: -0.021801 Loss_G: 0.013946 Loss_D_real: -0.033627 Loss_D_fake -0.011826
[1135/5000][485/535][117098] Loss_D: -0.021724 Loss_G: 0.019759 Loss_D_real: -0.026961 Loss_D_fake -0.005237
[1135/5000][490/535][117099] Loss_D: -0.020889 Loss_G: -0.009107 Loss_D_real: 0.002040 Loss_D_fake 0.022929
[1135/5000][495/535][117100] Loss_D: -0.021873 Loss_G: 0.002429 Loss_D_real: -0.014758 Loss_D_fake 0.007114
[1135/5000][500/535][117101] Loss_D: -0.021203 Loss_G: 0.011195 Loss_D_real: -0.021856 Loss_D_fake -0.000653
[1135/5000][505/535][117102] Loss_D: -0.021448 Loss_G: 0.015262 Loss_D_real: -0.021154 Loss_D_fake 0.000294
[1135/5000][510/535][117103] Loss_D: -0.021892 Loss_G: -0.006731 Loss_D_real: -0.009816 Loss_D_fake 0.012076
[1135/5000][515/535][117104] Loss_D: -0.021938 Loss_G: 0.012172 Loss_D_real: -0.010926 Loss_D_fake 0.011013
[1135/5000][520/535][117105] Loss_D: -0.020610 Loss_G: 0.010513 Loss_D_real: -0.017541 Loss_D_fake 0.003070
[1135/5000][525/535][117106] Loss_D: -0.021234 Loss_G: 0.000518 Loss_D_real: -0.018537 Loss_D_fake 0.002697
[1135/5000][530/535][117107] Loss_D: -0.021653 Loss_G: 0.007076 Loss_D_real: -0.015259 Loss_D_fake 0.006394
[1135/5000][535/535][117108] Loss_D: -0.021255 Loss_G: -0.018811 Loss_D_real: -0.016831 Loss_D_fake 0.004424
[1136/5000][5/535][117109] Loss_D: -0.021939 Loss_G: 0.011317 Loss_D_real: -0.015725 Loss_D_fake 0.006215
[1136/5000][10/535][117110] Loss_D: -0.020600 Loss_G: 0.004217 Loss_D_real: -0.006894 Loss_D_fake 0.013706
[1136/5000][15/535][117111] Loss_D: -0.020581 Loss_G: 0.016137 Loss_D_real: -0.025384 Loss_D_fake -0.004803
[1136/5000][20/535][117112] Loss_D: -0.021602 Loss_G: 0.000830 Loss_D_real: -0.009920 Loss_D_fake 0.011681
[1136/5000][25/535][117113] Loss_D: -0.020999 Loss_G: -0.005474 Loss_D_real: -0.006779 Loss_D_fake 0.014220
[1136/5000][30/535][117114] Loss_D: -0.020325 Loss_G: 0.003979 Loss_D_real: -0.022038 Loss_D_fake -0.001713
[1136/5000][35/535][117115] Loss_D: -0.020486 Loss_G: 0.002731 Loss_D_real: -0.008631 Loss_D_fake 0.011854
[1136/5000][40/535][117116] Loss_D: -0.020884 Loss_G: 0.012730 Loss_D_real: -0.026004 Loss_D_fake -0.005120
[1136/5000][45/535][117117] Loss_D: -0.019851 Loss_G: 0.019805 Loss_D_real: -0.024118 Loss_D_fake -0.004267
[1136/5000][50/535][117118] Loss_D: -0.022573 Loss_G: 0.037929 Loss_D_real: -0.032540 Loss_D_fake -0.009967
[1136/5000][55/535][117119] Loss_D: -0.019935 Loss_G: 0.001865 Loss_D_real: -0.016907 Loss_D_fake 0.003028
[1136/5000][60/535][117120] Loss_D: -0.022473 Loss_G: 0.002107 Loss_D_real: -0.006991 Loss_D_fake 0.015482
[1136/5000][65/535][117121] Loss_D: -0.021802 Loss_G: 0.007197 Loss_D_real: -0.007574 Loss_D_fake 0.014228
[1136/5000][70/535][117122] Loss_D: -0.022812 Loss_G: -0.000798 Loss_D_real: -0.006782 Loss_D_fake 0.016030
[1136/5000][75/535][117123] Loss_D: -0.020604 Loss_G: 0.028358 Loss_D_real: -0.024051 Loss_D_fake -0.003447
[1136/5000][80/535][117124] Loss_D: -0.020152 Loss_G: -0.019709 Loss_D_real: 0.002008 Loss_D_fake 0.022160
[1136/5000][85/535][117125] Loss_D: -0.019899 Loss_G: 0.003295 Loss_D_real: -0.014736 Loss_D_fake 0.005163
[1136/5000][90/535][117126] Loss_D: -0.021998 Loss_G: 0.005663 Loss_D_real: -0.024023 Loss_D_fake -0.002025
[1136/5000][95/535][117127] Loss_D: -0.020548 Loss_G: -0.006499 Loss_D_real: -0.003996 Loss_D_fake 0.016552
[1136/5000][100/535][117128] Loss_D: -0.022076 Loss_G: 0.022837 Loss_D_real: -0.021911 Loss_D_fake 0.000165
[1136/5000][105/535][117129] Loss_D: -0.019510 Loss_G: 0.018115 Loss_D_real: -0.021484 Loss_D_fake -0.001974
[1136/5000][110/535][117130] Loss_D: -0.022171 Loss_G: 0.029810 Loss_D_real: -0.031010 Loss_D_fake -0.008839
[1136/5000][115/535][117131] Loss_D: -0.021301 Loss_G: -0.011841 Loss_D_real: -0.000267 Loss_D_fake 0.021034
[1136/5000][120/535][117132] Loss_D: -0.021483 Loss_G: -0.004750 Loss_D_real: -0.010814 Loss_D_fake 0.010669
[1136/5000][125/535][117133] Loss_D: -0.021740 Loss_G: -0.000248 Loss_D_real: -0.004546 Loss_D_fake 0.017194
[1136/5000][130/535][117134] Loss_D: -0.021695 Loss_G: 0.010147 Loss_D_real: -0.019380 Loss_D_fake 0.002314
[1136/5000][135/535][117135] Loss_D: -0.021669 Loss_G: 0.004256 Loss_D_real: -0.021987 Loss_D_fake -0.000318
[1136/5000][140/535][117136] Loss_D: -0.019687 Loss_G: 0.027948 Loss_D_real: -0.025735 Loss_D_fake -0.006047
[1136/5000][145/535][117137] Loss_D: -0.021686 Loss_G: 0.001327 Loss_D_real: -0.003875 Loss_D_fake 0.017811
[1136/5000][150/535][117138] Loss_D: -0.021250 Loss_G: 0.019712 Loss_D_real: -0.027142 Loss_D_fake -0.005892
[1136/5000][155/535][117139] Loss_D: -0.021475 Loss_G: 0.002602 Loss_D_real: -0.014283 Loss_D_fake 0.007192
[1136/5000][160/535][117140] Loss_D: -0.020189 Loss_G: 0.011910 Loss_D_real: -0.021096 Loss_D_fake -0.000907
[1136/5000][165/535][117141] Loss_D: -0.021411 Loss_G: 0.007644 Loss_D_real: -0.005822 Loss_D_fake 0.015589
[1136/5000][170/535][117142] Loss_D: -0.020774 Loss_G: 0.014023 Loss_D_real: -0.021920 Loss_D_fake -0.001146
[1136/5000][175/535][117143] Loss_D: -0.020893 Loss_G: 0.009442 Loss_D_real: -0.018261 Loss_D_fake 0.002632
[1136/5000][180/535][117144] Loss_D: -0.020913 Loss_G: -0.013837 Loss_D_real: -0.004653 Loss_D_fake 0.016261
[1136/5000][185/535][117145] Loss_D: -0.020609 Loss_G: 0.004389 Loss_D_real: -0.014032 Loss_D_fake 0.006577
[1136/5000][190/535][117146] Loss_D: -0.020848 Loss_G: 0.003338 Loss_D_real: -0.001238 Loss_D_fake 0.019610
[1136/5000][195/535][117147] Loss_D: -0.020300 Loss_G: 0.022656 Loss_D_real: -0.026553 Loss_D_fake -0.006253
[1136/5000][200/535][117148] Loss_D: -0.020960 Loss_G: 0.023947 Loss_D_real: -0.029718 Loss_D_fake -0.008758
[1136/5000][205/535][117149] Loss_D: -0.022544 Loss_G: -0.014266 Loss_D_real: -0.007781 Loss_D_fake 0.014763
[1136/5000][210/535][117150] Loss_D: -0.022037 Loss_G: 0.007016 Loss_D_real: -0.024257 Loss_D_fake -0.002220
[1136/5000][215/535][117151] Loss_D: -0.020291 Loss_G: -0.000777 Loss_D_real: -0.015761 Loss_D_fake 0.004530
[1136/5000][220/535][117152] Loss_D: -0.020168 Loss_G: 0.005050 Loss_D_real: -0.019084 Loss_D_fake 0.001084
[1136/5000][225/535][117153] Loss_D: -0.020826 Loss_G: 0.013491 Loss_D_real: -0.002793 Loss_D_fake 0.018033
[1136/5000][230/535][117154] Loss_D: -0.021648 Loss_G: 0.005196 Loss_D_real: -0.030773 Loss_D_fake -0.009125
[1136/5000][235/535][117155] Loss_D: -0.021035 Loss_G: 0.005375 Loss_D_real: -0.026372 Loss_D_fake -0.005337
[1136/5000][240/535][117156] Loss_D: -0.020607 Loss_G: 0.019881 Loss_D_real: -0.018741 Loss_D_fake 0.001866
[1136/5000][245/535][117157] Loss_D: -0.019657 Loss_G: 0.020544 Loss_D_real: -0.035682 Loss_D_fake -0.016026
[1136/5000][250/535][117158] Loss_D: -0.021551 Loss_G: 0.014122 Loss_D_real: -0.018876 Loss_D_fake 0.002675
[1136/5000][255/535][117159] Loss_D: -0.020247 Loss_G: -0.004922 Loss_D_real: -0.016783 Loss_D_fake 0.003464
[1136/5000][260/535][117160] Loss_D: -0.020956 Loss_G: -0.000225 Loss_D_real: -0.001584 Loss_D_fake 0.019372
[1136/5000][265/535][117161] Loss_D: -0.020085 Loss_G: -0.005886 Loss_D_real: -0.004087 Loss_D_fake 0.015997
[1136/5000][270/535][117162] Loss_D: -0.021265 Loss_G: 0.020736 Loss_D_real: -0.028467 Loss_D_fake -0.007202
[1136/5000][275/535][117163] Loss_D: -0.020996 Loss_G: 0.003902 Loss_D_real: -0.012923 Loss_D_fake 0.008073
[1136/5000][280/535][117164] Loss_D: -0.021399 Loss_G: 0.001923 Loss_D_real: -0.020645 Loss_D_fake 0.000754
[1136/5000][285/535][117165] Loss_D: -0.021425 Loss_G: -0.000681 Loss_D_real: -0.010151 Loss_D_fake 0.011274
[1136/5000][290/535][117166] Loss_D: -0.022819 Loss_G: 0.017532 Loss_D_real: -0.011075 Loss_D_fake 0.011744
[1136/5000][295/535][117167] Loss_D: -0.022033 Loss_G: -0.002152 Loss_D_real: -0.003679 Loss_D_fake 0.018354
[1136/5000][300/535][117168] Loss_D: -0.022174 Loss_G: 0.003662 Loss_D_real: -0.019325 Loss_D_fake 0.002849
[1136/5000][305/535][117169] Loss_D: -0.020841 Loss_G: -0.002227 Loss_D_real: -0.009956 Loss_D_fake 0.010885
[1136/5000][310/535][117170] Loss_D: -0.021241 Loss_G: -0.004221 Loss_D_real: -0.027869 Loss_D_fake -0.006629
[1136/5000][315/535][117171] Loss_D: -0.021039 Loss_G: -0.001631 Loss_D_real: -0.009917 Loss_D_fake 0.011122
[1136/5000][320/535][117172] Loss_D: -0.021265 Loss_G: -0.007634 Loss_D_real: -0.004522 Loss_D_fake 0.016743
[1136/5000][325/535][117173] Loss_D: -0.020281 Loss_G: 0.017110 Loss_D_real: -0.007271 Loss_D_fake 0.013009
[1136/5000][330/535][117174] Loss_D: -0.019687 Loss_G: 0.010114 Loss_D_real: -0.016607 Loss_D_fake 0.003081
[1136/5000][335/535][117175] Loss_D: -0.020149 Loss_G: 0.004531 Loss_D_real: -0.023233 Loss_D_fake -0.003084
[1136/5000][340/535][117176] Loss_D: -0.022401 Loss_G: 0.011183 Loss_D_real: -0.006680 Loss_D_fake 0.015722
[1136/5000][345/535][117177] Loss_D: -0.021253 Loss_G: 0.009236 Loss_D_real: -0.017196 Loss_D_fake 0.004057
[1136/5000][350/535][117178] Loss_D: -0.020030 Loss_G: 0.017923 Loss_D_real: -0.023786 Loss_D_fake -0.003756
[1136/5000][355/535][117179] Loss_D: -0.020237 Loss_G: 0.001947 Loss_D_real: -0.010823 Loss_D_fake 0.009415
[1136/5000][360/535][117180] Loss_D: -0.020666 Loss_G: 0.028245 Loss_D_real: -0.025878 Loss_D_fake -0.005212
[1136/5000][365/535][117181] Loss_D: -0.021371 Loss_G: -0.006144 Loss_D_real: -0.013297 Loss_D_fake 0.008074
[1136/5000][370/535][117182] Loss_D: -0.020507 Loss_G: 0.018575 Loss_D_real: -0.024916 Loss_D_fake -0.004409
[1136/5000][375/535][117183] Loss_D: -0.021078 Loss_G: -0.011296 Loss_D_real: -0.009352 Loss_D_fake 0.011726
[1136/5000][380/535][117184] Loss_D: -0.020324 Loss_G: 0.009323 Loss_D_real: -0.017448 Loss_D_fake 0.002876
[1136/5000][385/535][117185] Loss_D: -0.021310 Loss_G: -0.000575 Loss_D_real: -0.009843 Loss_D_fake 0.011467
[1136/5000][390/535][117186] Loss_D: -0.020917 Loss_G: 0.002248 Loss_D_real: -0.021448 Loss_D_fake -0.000531
[1136/5000][395/535][117187] Loss_D: -0.020856 Loss_G: 0.017423 Loss_D_real: -0.016461 Loss_D_fake 0.004395
[1136/5000][400/535][117188] Loss_D: -0.020281 Loss_G: -0.010007 Loss_D_real: -0.001409 Loss_D_fake 0.018871
[1136/5000][405/535][117189] Loss_D: -0.020387 Loss_G: -0.010207 Loss_D_real: -0.009646 Loss_D_fake 0.010741
[1136/5000][410/535][117190] Loss_D: -0.022471 Loss_G: 0.015746 Loss_D_real: -0.020080 Loss_D_fake 0.002391
[1136/5000][415/535][117191] Loss_D: -0.022158 Loss_G: -0.009893 Loss_D_real: -0.011397 Loss_D_fake 0.010762
[1136/5000][420/535][117192] Loss_D: -0.021622 Loss_G: 0.013222 Loss_D_real: -0.018114 Loss_D_fake 0.003508
[1136/5000][425/535][117193] Loss_D: -0.022050 Loss_G: 0.008119 Loss_D_real: -0.024239 Loss_D_fake -0.002189
[1136/5000][430/535][117194] Loss_D: -0.021995 Loss_G: 0.012277 Loss_D_real: -0.024711 Loss_D_fake -0.002715
[1136/5000][435/535][117195] Loss_D: -0.022327 Loss_G: 0.002427 Loss_D_real: -0.021994 Loss_D_fake 0.000333
[1136/5000][440/535][117196] Loss_D: -0.020553 Loss_G: 0.015525 Loss_D_real: -0.021558 Loss_D_fake -0.001004
[1136/5000][445/535][117197] Loss_D: -0.021272 Loss_G: -0.013972 Loss_D_real: -0.002636 Loss_D_fake 0.018636
[1136/5000][450/535][117198] Loss_D: -0.021182 Loss_G: 0.017771 Loss_D_real: -0.013933 Loss_D_fake 0.007249
[1136/5000][455/535][117199] Loss_D: -0.021303 Loss_G: 0.004176 Loss_D_real: -0.011617 Loss_D_fake 0.009686
[1136/5000][460/535][117200] Loss_D: -0.021156 Loss_G: 0.013754 Loss_D_real: -0.026262 Loss_D_fake -0.005106
[1136/5000][465/535][117201] Loss_D: -0.019189 Loss_G: 0.023251 Loss_D_real: -0.026744 Loss_D_fake -0.007555
[1136/5000][470/535][117202] Loss_D: -0.019358 Loss_G: 0.016160 Loss_D_real: -0.026320 Loss_D_fake -0.006963
[1136/5000][475/535][117203] Loss_D: -0.020251 Loss_G: -0.001336 Loss_D_real: -0.014358 Loss_D_fake 0.005893
[1136/5000][480/535][117204] Loss_D: -0.020903 Loss_G: 0.016277 Loss_D_real: -0.020221 Loss_D_fake 0.000682
[1136/5000][485/535][117205] Loss_D: -0.021819 Loss_G: 0.008275 Loss_D_real: -0.018772 Loss_D_fake 0.003047
[1136/5000][490/535][117206] Loss_D: -0.021915 Loss_G: 0.005345 Loss_D_real: -0.025530 Loss_D_fake -0.003615
[1136/5000][495/535][117207] Loss_D: -0.021283 Loss_G: 0.007401 Loss_D_real: -0.025579 Loss_D_fake -0.004295
[1136/5000][500/535][117208] Loss_D: -0.020258 Loss_G: 0.007278 Loss_D_real: -0.022629 Loss_D_fake -0.002371
[1136/5000][505/535][117209] Loss_D: -0.020630 Loss_G: 0.023715 Loss_D_real: -0.029608 Loss_D_fake -0.008977
[1136/5000][510/535][117210] Loss_D: -0.020773 Loss_G: 0.002466 Loss_D_real: -0.012052 Loss_D_fake 0.008721
[1136/5000][515/535][117211] Loss_D: -0.019616 Loss_G: 0.026182 Loss_D_real: -0.031906 Loss_D_fake -0.012290
[1136/5000][520/535][117212] Loss_D: -0.021033 Loss_G: -0.009784 Loss_D_real: -0.004554 Loss_D_fake 0.016479
[1136/5000][525/535][117213] Loss_D: -0.020695 Loss_G: 0.013884 Loss_D_real: -0.023032 Loss_D_fake -0.002337
[1136/5000][530/535][117214] Loss_D: -0.021147 Loss_G: -0.016030 Loss_D_real: -0.014053 Loss_D_fake 0.007094
[1136/5000][535/535][117215] Loss_D: -0.018812 Loss_G: -0.010601 Loss_D_real: -0.002155 Loss_D_fake 0.016656
[1137/5000][5/535][117216] Loss_D: -0.022999 Loss_G: 0.021691 Loss_D_real: -0.024171 Loss_D_fake -0.001173
[1137/5000][10/535][117217] Loss_D: -0.020719 Loss_G: 0.010878 Loss_D_real: -0.013552 Loss_D_fake 0.007167
[1137/5000][15/535][117218] Loss_D: -0.022589 Loss_G: 0.023569 Loss_D_real: -0.024824 Loss_D_fake -0.002235
[1137/5000][20/535][117219] Loss_D: -0.021340 Loss_G: 0.017996 Loss_D_real: -0.019736 Loss_D_fake 0.001604
[1137/5000][25/535][117220] Loss_D: -0.021041 Loss_G: 0.008153 Loss_D_real: -0.020119 Loss_D_fake 0.000921
[1137/5000][30/535][117221] Loss_D: -0.020853 Loss_G: 0.007003 Loss_D_real: -0.012058 Loss_D_fake 0.008796
[1137/5000][35/535][117222] Loss_D: -0.022089 Loss_G: 0.016173 Loss_D_real: -0.039428 Loss_D_fake -0.017339
[1137/5000][40/535][117223] Loss_D: -0.022564 Loss_G: 0.002844 Loss_D_real: -0.019126 Loss_D_fake 0.003438
[1137/5000][45/535][117224] Loss_D: -0.021575 Loss_G: 0.015785 Loss_D_real: -0.017923 Loss_D_fake 0.003651
[1137/5000][50/535][117225] Loss_D: -0.022061 Loss_G: 0.000718 Loss_D_real: -0.023032 Loss_D_fake -0.000971
[1137/5000][55/535][117226] Loss_D: -0.020911 Loss_G: -0.008886 Loss_D_real: -0.017180 Loss_D_fake 0.003731
[1137/5000][60/535][117227] Loss_D: -0.022909 Loss_G: 0.015562 Loss_D_real: -0.023982 Loss_D_fake -0.001073
[1137/5000][65/535][117228] Loss_D: -0.021126 Loss_G: -0.003766 Loss_D_real: -0.007771 Loss_D_fake 0.013355
[1137/5000][70/535][117229] Loss_D: -0.021246 Loss_G: 0.000815 Loss_D_real: -0.009706 Loss_D_fake 0.011541
[1137/5000][75/535][117230] Loss_D: -0.018954 Loss_G: 0.008560 Loss_D_real: -0.021178 Loss_D_fake -0.002223
[1137/5000][80/535][117231] Loss_D: -0.020294 Loss_G: -0.013848 Loss_D_real: -0.002704 Loss_D_fake 0.017590
[1137/5000][85/535][117232] Loss_D: -0.020915 Loss_G: -0.000298 Loss_D_real: -0.019590 Loss_D_fake 0.001325
[1137/5000][90/535][117233] Loss_D: -0.020658 Loss_G: 0.022209 Loss_D_real: -0.033261 Loss_D_fake -0.012603
[1137/5000][95/535][117234] Loss_D: -0.020492 Loss_G: 0.003343 Loss_D_real: -0.015031 Loss_D_fake 0.005460
[1137/5000][100/535][117235] Loss_D: -0.021166 Loss_G: -0.009133 Loss_D_real: -0.007645 Loss_D_fake 0.013520
[1137/5000][105/535][117236] Loss_D: -0.021025 Loss_G: 0.017908 Loss_D_real: -0.018330 Loss_D_fake 0.002695
[1137/5000][110/535][117237] Loss_D: -0.019915 Loss_G: 0.014848 Loss_D_real: -0.029284 Loss_D_fake -0.009368
[1137/5000][115/535][117238] Loss_D: -0.021283 Loss_G: 0.018195 Loss_D_real: -0.030522 Loss_D_fake -0.009239
[1137/5000][120/535][117239] Loss_D: -0.020627 Loss_G: 0.019876 Loss_D_real: -0.030039 Loss_D_fake -0.009412
[1137/5000][125/535][117240] Loss_D: -0.021379 Loss_G: 0.006787 Loss_D_real: -0.013891 Loss_D_fake 0.007488
[1137/5000][130/535][117241] Loss_D: -0.020903 Loss_G: -0.015241 Loss_D_real: -0.000454 Loss_D_fake 0.020449
[1137/5000][135/535][117242] Loss_D: -0.020618 Loss_G: 0.014199 Loss_D_real: -0.024863 Loss_D_fake -0.004245
[1137/5000][140/535][117243] Loss_D: -0.022202 Loss_G: 0.016933 Loss_D_real: -0.018089 Loss_D_fake 0.004114
[1137/5000][145/535][117244] Loss_D: -0.022582 Loss_G: 0.003627 Loss_D_real: -0.023691 Loss_D_fake -0.001109
[1137/5000][150/535][117245] Loss_D: -0.020133 Loss_G: -0.001622 Loss_D_real: -0.012126 Loss_D_fake 0.008008
[1137/5000][155/535][117246] Loss_D: -0.020804 Loss_G: 0.006105 Loss_D_real: -0.007481 Loss_D_fake 0.013323
[1137/5000][160/535][117247] Loss_D: -0.021316 Loss_G: 0.003198 Loss_D_real: -0.004016 Loss_D_fake 0.017300
[1137/5000][165/535][117248] Loss_D: -0.022331 Loss_G: 0.009075 Loss_D_real: -0.019999 Loss_D_fake 0.002332
[1137/5000][170/535][117249] Loss_D: -0.019389 Loss_G: 0.000673 Loss_D_real: -0.008529 Loss_D_fake 0.010861
[1137/5000][175/535][117250] Loss_D: -0.020817 Loss_G: 0.006601 Loss_D_real: -0.010222 Loss_D_fake 0.010595
[1137/5000][180/535][117251] Loss_D: -0.020141 Loss_G: 0.004840 Loss_D_real: -0.019174 Loss_D_fake 0.000967
[1137/5000][185/535][117252] Loss_D: -0.020893 Loss_G: 0.020713 Loss_D_real: -0.026479 Loss_D_fake -0.005586
[1137/5000][190/535][117253] Loss_D: -0.021447 Loss_G: -0.000651 Loss_D_real: -0.021515 Loss_D_fake -0.000068
[1137/5000][195/535][117254] Loss_D: -0.020542 Loss_G: -0.001559 Loss_D_real: -0.009637 Loss_D_fake 0.010905
[1137/5000][200/535][117255] Loss_D: -0.019928 Loss_G: 0.014898 Loss_D_real: -0.024442 Loss_D_fake -0.004513
[1137/5000][205/535][117256] Loss_D: -0.020246 Loss_G: 0.010405 Loss_D_real: -0.009619 Loss_D_fake 0.010627
[1137/5000][210/535][117257] Loss_D: -0.020689 Loss_G: 0.003300 Loss_D_real: -0.014683 Loss_D_fake 0.006006
[1137/5000][215/535][117258] Loss_D: -0.019438 Loss_G: -0.010272 Loss_D_real: -0.012392 Loss_D_fake 0.007046
[1137/5000][220/535][117259] Loss_D: -0.020867 Loss_G: 0.001731 Loss_D_real: -0.014774 Loss_D_fake 0.006093
[1137/5000][225/535][117260] Loss_D: -0.020668 Loss_G: 0.005854 Loss_D_real: -0.007302 Loss_D_fake 0.013366
[1137/5000][230/535][117261] Loss_D: -0.020942 Loss_G: 0.019580 Loss_D_real: -0.025375 Loss_D_fake -0.004433
[1137/5000][235/535][117262] Loss_D: -0.020039 Loss_G: 0.008478 Loss_D_real: -0.013661 Loss_D_fake 0.006378
[1137/5000][240/535][117263] Loss_D: -0.021571 Loss_G: 0.004357 Loss_D_real: -0.033690 Loss_D_fake -0.012119
[1137/5000][245/535][117264] Loss_D: -0.021451 Loss_G: 0.010207 Loss_D_real: -0.025565 Loss_D_fake -0.004114
[1137/5000][250/535][117265] Loss_D: -0.021792 Loss_G: -0.003761 Loss_D_real: -0.002350 Loss_D_fake 0.019442
[1137/5000][255/535][117266] Loss_D: -0.020324 Loss_G: -0.003610 Loss_D_real: -0.007154 Loss_D_fake 0.013170
[1137/5000][260/535][117267] Loss_D: -0.021226 Loss_G: 0.016023 Loss_D_real: -0.017591 Loss_D_fake 0.003635
[1137/5000][265/535][117268] Loss_D: -0.020597 Loss_G: 0.005970 Loss_D_real: -0.015046 Loss_D_fake 0.005551
[1137/5000][270/535][117269] Loss_D: -0.020119 Loss_G: 0.022327 Loss_D_real: -0.024064 Loss_D_fake -0.003945
[1137/5000][275/535][117270] Loss_D: -0.020661 Loss_G: -0.003455 Loss_D_real: -0.014536 Loss_D_fake 0.006125
[1137/5000][280/535][117271] Loss_D: -0.021858 Loss_G: -0.005207 Loss_D_real: -0.004687 Loss_D_fake 0.017171
[1137/5000][285/535][117272] Loss_D: -0.019106 Loss_G: -0.003004 Loss_D_real: -0.017312 Loss_D_fake 0.001794
[1137/5000][290/535][117273] Loss_D: -0.022320 Loss_G: 0.004941 Loss_D_real: -0.012998 Loss_D_fake 0.009323
[1137/5000][295/535][117274] Loss_D: -0.019205 Loss_G: 0.011246 Loss_D_real: -0.028959 Loss_D_fake -0.009754
[1137/5000][300/535][117275] Loss_D: -0.022270 Loss_G: -0.008895 Loss_D_real: -0.011005 Loss_D_fake 0.011265
[1137/5000][305/535][117276] Loss_D: -0.020066 Loss_G: 0.004520 Loss_D_real: -0.007870 Loss_D_fake 0.012196
[1137/5000][310/535][117277] Loss_D: -0.022484 Loss_G: 0.004326 Loss_D_real: -0.014370 Loss_D_fake 0.008114
[1137/5000][315/535][117278] Loss_D: -0.023215 Loss_G: 0.003122 Loss_D_real: -0.008704 Loss_D_fake 0.014511
[1137/5000][320/535][117279] Loss_D: -0.019830 Loss_G: 0.002916 Loss_D_real: -0.006431 Loss_D_fake 0.013399
[1137/5000][325/535][117280] Loss_D: -0.021256 Loss_G: 0.002716 Loss_D_real: -0.023657 Loss_D_fake -0.002402
[1137/5000][330/535][117281] Loss_D: -0.021014 Loss_G: -0.002534 Loss_D_real: -0.016647 Loss_D_fake 0.004368
[1137/5000][335/535][117282] Loss_D: -0.021194 Loss_G: 0.004244 Loss_D_real: -0.013068 Loss_D_fake 0.008126
[1137/5000][340/535][117283] Loss_D: -0.019601 Loss_G: -0.017486 Loss_D_real: -0.003122 Loss_D_fake 0.016479
[1137/5000][345/535][117284] Loss_D: -0.021246 Loss_G: 0.009160 Loss_D_real: -0.013103 Loss_D_fake 0.008143
[1137/5000][350/535][117285] Loss_D: -0.020769 Loss_G: -0.002120 Loss_D_real: -0.028313 Loss_D_fake -0.007544
[1137/5000][355/535][117286] Loss_D: -0.021788 Loss_G: 0.022109 Loss_D_real: -0.025762 Loss_D_fake -0.003974
[1137/5000][360/535][117287] Loss_D: -0.022649 Loss_G: -0.003549 Loss_D_real: -0.012357 Loss_D_fake 0.010293
[1137/5000][365/535][117288] Loss_D: -0.020291 Loss_G: 0.022472 Loss_D_real: -0.022306 Loss_D_fake -0.002015
[1137/5000][370/535][117289] Loss_D: -0.020720 Loss_G: -0.004027 Loss_D_real: -0.013708 Loss_D_fake 0.007011
[1137/5000][375/535][117290] Loss_D: -0.021283 Loss_G: 0.010385 Loss_D_real: -0.011781 Loss_D_fake 0.009502
[1137/5000][380/535][117291] Loss_D: -0.023031 Loss_G: 0.003161 Loss_D_real: -0.028036 Loss_D_fake -0.005005
[1137/5000][385/535][117292] Loss_D: -0.020901 Loss_G: 0.018128 Loss_D_real: -0.028231 Loss_D_fake -0.007330
[1137/5000][390/535][117293] Loss_D: -0.021123 Loss_G: 0.016612 Loss_D_real: -0.020303 Loss_D_fake 0.000820
[1137/5000][395/535][117294] Loss_D: -0.019767 Loss_G: 0.022967 Loss_D_real: -0.018272 Loss_D_fake 0.001495
[1137/5000][400/535][117295] Loss_D: -0.020415 Loss_G: -0.009939 Loss_D_real: -0.008977 Loss_D_fake 0.011438
[1137/5000][405/535][117296] Loss_D: -0.021117 Loss_G: 0.002838 Loss_D_real: -0.014307 Loss_D_fake 0.006810
[1137/5000][410/535][117297] Loss_D: -0.020525 Loss_G: 0.019661 Loss_D_real: -0.029046 Loss_D_fake -0.008521
[1137/5000][415/535][117298] Loss_D: -0.021246 Loss_G: 0.012864 Loss_D_real: -0.024191 Loss_D_fake -0.002944
[1137/5000][420/535][117299] Loss_D: -0.020931 Loss_G: 0.000494 Loss_D_real: -0.011143 Loss_D_fake 0.009788
[1137/5000][425/535][117300] Loss_D: -0.020802 Loss_G: -0.010338 Loss_D_real: -0.002613 Loss_D_fake 0.018190
[1137/5000][430/535][117301] Loss_D: -0.021162 Loss_G: 0.008078 Loss_D_real: -0.014513 Loss_D_fake 0.006649
[1137/5000][435/535][117302] Loss_D: -0.020169 Loss_G: -0.009697 Loss_D_real: 0.004665 Loss_D_fake 0.024834
[1137/5000][440/535][117303] Loss_D: -0.021079 Loss_G: 0.009883 Loss_D_real: -0.008620 Loss_D_fake 0.012458
[1137/5000][445/535][117304] Loss_D: -0.021331 Loss_G: 0.009503 Loss_D_real: -0.011823 Loss_D_fake 0.009508
[1137/5000][450/535][117305] Loss_D: -0.020051 Loss_G: 0.013024 Loss_D_real: -0.023310 Loss_D_fake -0.003258
[1137/5000][455/535][117306] Loss_D: -0.021704 Loss_G: 0.000103 Loss_D_real: -0.013259 Loss_D_fake 0.008445
[1137/5000][460/535][117307] Loss_D: -0.021328 Loss_G: 0.023717 Loss_D_real: -0.031877 Loss_D_fake -0.010549
[1137/5000][465/535][117308] Loss_D: -0.020116 Loss_G: -0.003338 Loss_D_real: -0.014866 Loss_D_fake 0.005250
[1137/5000][470/535][117309] Loss_D: -0.020114 Loss_G: 0.017065 Loss_D_real: -0.020672 Loss_D_fake -0.000558
[1137/5000][475/535][117310] Loss_D: -0.020222 Loss_G: 0.000297 Loss_D_real: -0.006361 Loss_D_fake 0.013861
[1137/5000][480/535][117311] Loss_D: -0.021942 Loss_G: 0.010622 Loss_D_real: -0.022473 Loss_D_fake -0.000531
[1137/5000][485/535][117312] Loss_D: -0.021935 Loss_G: -0.000406 Loss_D_real: -0.016841 Loss_D_fake 0.005094
[1137/5000][490/535][117313] Loss_D: -0.021577 Loss_G: 0.000377 Loss_D_real: -0.012797 Loss_D_fake 0.008781
[1137/5000][495/535][117314] Loss_D: -0.021672 Loss_G: 0.014436 Loss_D_real: -0.021745 Loss_D_fake -0.000073
[1137/5000][500/535][117315] Loss_D: -0.021621 Loss_G: 0.007282 Loss_D_real: -0.018935 Loss_D_fake 0.002686
[1137/5000][505/535][117316] Loss_D: -0.021692 Loss_G: 0.003423 Loss_D_real: -0.017070 Loss_D_fake 0.004621
[1137/5000][510/535][117317] Loss_D: -0.021457 Loss_G: -0.002017 Loss_D_real: -0.013479 Loss_D_fake 0.007979
[1137/5000][515/535][117318] Loss_D: -0.020251 Loss_G: 0.006873 Loss_D_real: -0.019187 Loss_D_fake 0.001063
[1137/5000][520/535][117319] Loss_D: -0.020997 Loss_G: -0.000114 Loss_D_real: -0.005233 Loss_D_fake 0.015764
[1137/5000][525/535][117320] Loss_D: -0.019844 Loss_G: 0.011885 Loss_D_real: -0.030659 Loss_D_fake -0.010815
[1137/5000][530/535][117321] Loss_D: -0.020345 Loss_G: 0.015414 Loss_D_real: -0.036058 Loss_D_fake -0.015713
[1137/5000][535/535][117322] Loss_D: -0.020011 Loss_G: 0.004448 Loss_D_real: -0.024613 Loss_D_fake -0.004602
[1138/5000][5/535][117323] Loss_D: -0.019529 Loss_G: -0.015720 Loss_D_real: -0.001195 Loss_D_fake 0.018333
[1138/5000][10/535][117324] Loss_D: -0.019948 Loss_G: 0.005803 Loss_D_real: -0.018577 Loss_D_fake 0.001370
[1138/5000][15/535][117325] Loss_D: -0.020991 Loss_G: 0.013587 Loss_D_real: -0.019335 Loss_D_fake 0.001656
[1138/5000][20/535][117326] Loss_D: -0.021066 Loss_G: -0.005217 Loss_D_real: -0.010620 Loss_D_fake 0.010446
[1138/5000][25/535][117327] Loss_D: -0.020825 Loss_G: 0.013786 Loss_D_real: -0.020337 Loss_D_fake 0.000488
[1138/5000][30/535][117328] Loss_D: -0.021086 Loss_G: 0.022081 Loss_D_real: -0.025990 Loss_D_fake -0.004904
[1138/5000][35/535][117329] Loss_D: -0.021487 Loss_G: 0.008712 Loss_D_real: -0.024853 Loss_D_fake -0.003366
[1138/5000][40/535][117330] Loss_D: -0.021622 Loss_G: 0.000413 Loss_D_real: -0.020454 Loss_D_fake 0.001168
[1138/5000][45/535][117331] Loss_D: -0.021336 Loss_G: 0.012823 Loss_D_real: -0.027880 Loss_D_fake -0.006545
[1138/5000][50/535][117332] Loss_D: -0.021790 Loss_G: 0.004604 Loss_D_real: -0.011437 Loss_D_fake 0.010353
[1138/5000][55/535][117333] Loss_D: -0.021466 Loss_G: 0.015295 Loss_D_real: -0.027715 Loss_D_fake -0.006249
[1138/5000][60/535][117334] Loss_D: -0.022076 Loss_G: 0.008145 Loss_D_real: -0.018808 Loss_D_fake 0.003269
[1138/5000][65/535][117335] Loss_D: -0.021586 Loss_G: 0.000374 Loss_D_real: -0.016739 Loss_D_fake 0.004847
[1138/5000][70/535][117336] Loss_D: -0.021487 Loss_G: -0.003267 Loss_D_real: -0.027031 Loss_D_fake -0.005544
[1138/5000][75/535][117337] Loss_D: -0.020335 Loss_G: 0.026443 Loss_D_real: -0.028155 Loss_D_fake -0.007820
[1138/5000][80/535][117338] Loss_D: -0.021728 Loss_G: 0.011827 Loss_D_real: -0.007980 Loss_D_fake 0.013748
[1138/5000][85/535][117339] Loss_D: -0.021956 Loss_G: -0.000542 Loss_D_real: -0.007187 Loss_D_fake 0.014769
[1138/5000][90/535][117340] Loss_D: -0.019861 Loss_G: 0.018492 Loss_D_real: -0.021181 Loss_D_fake -0.001320
[1138/5000][95/535][117341] Loss_D: -0.021895 Loss_G: 0.013196 Loss_D_real: -0.024936 Loss_D_fake -0.003041
[1138/5000][100/535][117342] Loss_D: -0.021720 Loss_G: 0.021122 Loss_D_real: -0.025761 Loss_D_fake -0.004040
[1138/5000][105/535][117343] Loss_D: -0.021154 Loss_G: 0.002944 Loss_D_real: -0.017835 Loss_D_fake 0.003319
[1138/5000][110/535][117344] Loss_D: -0.020916 Loss_G: 0.008409 Loss_D_real: -0.032657 Loss_D_fake -0.011741
[1138/5000][115/535][117345] Loss_D: -0.022769 Loss_G: 0.017921 Loss_D_real: -0.013118 Loss_D_fake 0.009651
[1138/5000][120/535][117346] Loss_D: -0.021489 Loss_G: -0.019090 Loss_D_real: -0.009940 Loss_D_fake 0.011549
[1138/5000][125/535][117347] Loss_D: -0.020661 Loss_G: 0.005933 Loss_D_real: -0.009125 Loss_D_fake 0.011537
[1138/5000][130/535][117348] Loss_D: -0.020600 Loss_G: 0.000601 Loss_D_real: -0.017127 Loss_D_fake 0.003474
[1138/5000][135/535][117349] Loss_D: -0.022294 Loss_G: 0.014274 Loss_D_real: -0.008459 Loss_D_fake 0.013836
[1138/5000][140/535][117350] Loss_D: -0.020534 Loss_G: 0.019541 Loss_D_real: -0.026212 Loss_D_fake -0.005679
[1138/5000][145/535][117351] Loss_D: -0.021566 Loss_G: 0.005768 Loss_D_real: -0.028415 Loss_D_fake -0.006848
[1138/5000][150/535][117352] Loss_D: -0.020362 Loss_G: 0.014170 Loss_D_real: -0.023501 Loss_D_fake -0.003139
[1138/5000][155/535][117353] Loss_D: -0.022544 Loss_G: -0.003123 Loss_D_real: -0.020325 Loss_D_fake 0.002218
[1138/5000][160/535][117354] Loss_D: -0.021908 Loss_G: 0.004745 Loss_D_real: -0.021092 Loss_D_fake 0.000816
[1138/5000][165/535][117355] Loss_D: -0.020647 Loss_G: -0.002022 Loss_D_real: -0.018609 Loss_D_fake 0.002038
[1138/5000][170/535][117356] Loss_D: -0.021083 Loss_G: 0.010340 Loss_D_real: -0.016419 Loss_D_fake 0.004664
[1138/5000][175/535][117357] Loss_D: -0.021456 Loss_G: 0.006303 Loss_D_real: -0.007554 Loss_D_fake 0.013901
[1138/5000][180/535][117358] Loss_D: -0.020258 Loss_G: -0.000003 Loss_D_real: -0.007549 Loss_D_fake 0.012709
[1138/5000][185/535][117359] Loss_D: -0.020271 Loss_G: -0.003914 Loss_D_real: -0.012474 Loss_D_fake 0.007798
[1138/5000][190/535][117360] Loss_D: -0.020747 Loss_G: -0.007176 Loss_D_real: -0.006474 Loss_D_fake 0.014273
[1138/5000][195/535][117361] Loss_D: -0.019962 Loss_G: 0.023016 Loss_D_real: -0.023996 Loss_D_fake -0.004033
[1138/5000][200/535][117362] Loss_D: -0.019628 Loss_G: 0.021227 Loss_D_real: -0.031323 Loss_D_fake -0.011694
[1138/5000][205/535][117363] Loss_D: -0.020604 Loss_G: 0.016417 Loss_D_real: -0.027685 Loss_D_fake -0.007081
[1138/5000][210/535][117364] Loss_D: -0.021358 Loss_G: -0.001743 Loss_D_real: -0.005596 Loss_D_fake 0.015762
[1138/5000][215/535][117365] Loss_D: -0.020675 Loss_G: 0.001411 Loss_D_real: -0.010109 Loss_D_fake 0.010566
[1138/5000][220/535][117366] Loss_D: -0.021018 Loss_G: -0.009122 Loss_D_real: -0.010302 Loss_D_fake 0.010716
[1138/5000][225/535][117367] Loss_D: -0.019884 Loss_G: 0.021107 Loss_D_real: -0.038707 Loss_D_fake -0.018824
[1138/5000][230/535][117368] Loss_D: -0.021791 Loss_G: 0.009453 Loss_D_real: -0.014955 Loss_D_fake 0.006836
[1138/5000][235/535][117369] Loss_D: -0.020117 Loss_G: -0.004719 Loss_D_real: -0.007549 Loss_D_fake 0.012568
[1138/5000][240/535][117370] Loss_D: -0.021000 Loss_G: 0.017108 Loss_D_real: -0.024279 Loss_D_fake -0.003280
[1138/5000][245/535][117371] Loss_D: -0.020236 Loss_G: -0.007805 Loss_D_real: -0.004272 Loss_D_fake 0.015964
[1138/5000][250/535][117372] Loss_D: -0.020625 Loss_G: 0.004035 Loss_D_real: -0.011518 Loss_D_fake 0.009106
[1138/5000][255/535][117373] Loss_D: -0.021051 Loss_G: 0.017140 Loss_D_real: -0.023193 Loss_D_fake -0.002143
[1138/5000][260/535][117374] Loss_D: -0.020557 Loss_G: 0.000469 Loss_D_real: -0.020080 Loss_D_fake 0.000478
[1138/5000][265/535][117375] Loss_D: -0.021601 Loss_G: 0.010715 Loss_D_real: -0.011938 Loss_D_fake 0.009664
[1138/5000][270/535][117376] Loss_D: -0.021475 Loss_G: 0.006504 Loss_D_real: -0.019026 Loss_D_fake 0.002449
[1138/5000][275/535][117377] Loss_D: -0.021810 Loss_G: 0.006676 Loss_D_real: -0.012364 Loss_D_fake 0.009446
[1138/5000][280/535][117378] Loss_D: -0.021038 Loss_G: 0.015899 Loss_D_real: -0.019773 Loss_D_fake 0.001265
[1138/5000][285/535][117379] Loss_D: -0.020567 Loss_G: -0.001539 Loss_D_real: -0.015925 Loss_D_fake 0.004643
[1138/5000][290/535][117380] Loss_D: -0.021147 Loss_G: 0.005496 Loss_D_real: -0.005767 Loss_D_fake 0.015380
[1138/5000][295/535][117381] Loss_D: -0.021081 Loss_G: -0.002523 Loss_D_real: -0.009666 Loss_D_fake 0.011416
[1138/5000][300/535][117382] Loss_D: -0.021963 Loss_G: 0.007410 Loss_D_real: -0.003875 Loss_D_fake 0.018088
[1138/5000][305/535][117383] Loss_D: -0.020188 Loss_G: 0.019757 Loss_D_real: -0.036762 Loss_D_fake -0.016574
[1138/5000][310/535][117384] Loss_D: -0.021493 Loss_G: 0.023551 Loss_D_real: -0.020200 Loss_D_fake 0.001293
[1138/5000][315/535][117385] Loss_D: -0.022477 Loss_G: 0.013649 Loss_D_real: -0.019497 Loss_D_fake 0.002980
[1138/5000][320/535][117386] Loss_D: -0.021140 Loss_G: 0.011508 Loss_D_real: -0.026733 Loss_D_fake -0.005592
[1138/5000][325/535][117387] Loss_D: -0.022780 Loss_G: 0.020304 Loss_D_real: -0.021889 Loss_D_fake 0.000891
[1138/5000][330/535][117388] Loss_D: -0.021636 Loss_G: 0.001607 Loss_D_real: -0.022405 Loss_D_fake -0.000769
[1138/5000][335/535][117389] Loss_D: -0.021014 Loss_G: 0.016144 Loss_D_real: -0.024521 Loss_D_fake -0.003507
[1138/5000][340/535][117390] Loss_D: -0.021494 Loss_G: -0.007457 Loss_D_real: -0.008623 Loss_D_fake 0.012871
[1138/5000][345/535][117391] Loss_D: -0.022129 Loss_G: -0.007607 Loss_D_real: -0.007090 Loss_D_fake 0.015040
[1138/5000][350/535][117392] Loss_D: -0.019916 Loss_G: 0.026264 Loss_D_real: -0.027365 Loss_D_fake -0.007449
[1138/5000][355/535][117393] Loss_D: -0.021580 Loss_G: -0.002252 Loss_D_real: -0.017637 Loss_D_fake 0.003943
[1138/5000][360/535][117394] Loss_D: -0.021506 Loss_G: -0.010705 Loss_D_real: -0.016919 Loss_D_fake 0.004587
[1138/5000][365/535][117395] Loss_D: -0.020864 Loss_G: 0.011278 Loss_D_real: -0.027974 Loss_D_fake -0.007110
[1138/5000][370/535][117396] Loss_D: -0.021371 Loss_G: 0.004976 Loss_D_real: -0.014026 Loss_D_fake 0.007345
[1138/5000][375/535][117397] Loss_D: -0.020847 Loss_G: -0.004168 Loss_D_real: -0.022711 Loss_D_fake -0.001865
[1138/5000][380/535][117398] Loss_D: -0.020524 Loss_G: -0.008802 Loss_D_real: -0.008898 Loss_D_fake 0.011626
[1138/5000][385/535][117399] Loss_D: -0.019902 Loss_G: -0.013754 Loss_D_real: -0.003106 Loss_D_fake 0.016796
[1138/5000][390/535][117400] Loss_D: -0.021520 Loss_G: 0.013605 Loss_D_real: -0.012590 Loss_D_fake 0.008931
[1138/5000][395/535][117401] Loss_D: -0.021043 Loss_G: 0.009260 Loss_D_real: -0.018060 Loss_D_fake 0.002983
[1138/5000][400/535][117402] Loss_D: -0.019900 Loss_G: 0.029544 Loss_D_real: -0.026607 Loss_D_fake -0.006707
[1138/5000][405/535][117403] Loss_D: -0.018642 Loss_G: 0.027734 Loss_D_real: -0.029522 Loss_D_fake -0.010880
[1138/5000][410/535][117404] Loss_D: -0.021601 Loss_G: -0.010794 Loss_D_real: -0.006288 Loss_D_fake 0.015313
[1138/5000][415/535][117405] Loss_D: -0.019568 Loss_G: 0.027720 Loss_D_real: -0.028616 Loss_D_fake -0.009048
[1138/5000][420/535][117406] Loss_D: -0.021177 Loss_G: -0.003239 Loss_D_real: -0.006376 Loss_D_fake 0.014801
[1138/5000][425/535][117407] Loss_D: -0.020351 Loss_G: -0.002811 Loss_D_real: -0.010395 Loss_D_fake 0.009956
[1138/5000][430/535][117408] Loss_D: -0.021733 Loss_G: 0.012620 Loss_D_real: -0.027155 Loss_D_fake -0.005422
[1138/5000][435/535][117409] Loss_D: -0.021833 Loss_G: 0.007814 Loss_D_real: -0.017836 Loss_D_fake 0.003997
[1138/5000][440/535][117410] Loss_D: -0.020948 Loss_G: 0.020736 Loss_D_real: -0.027708 Loss_D_fake -0.006760
[1138/5000][445/535][117411] Loss_D: -0.021650 Loss_G: 0.004561 Loss_D_real: -0.005640 Loss_D_fake 0.016010
[1138/5000][450/535][117412] Loss_D: -0.020747 Loss_G: 0.004627 Loss_D_real: -0.008103 Loss_D_fake 0.012644
[1138/5000][455/535][117413] Loss_D: -0.021323 Loss_G: 0.016850 Loss_D_real: -0.033134 Loss_D_fake -0.011811
[1138/5000][460/535][117414] Loss_D: -0.021835 Loss_G: -0.002207 Loss_D_real: -0.011443 Loss_D_fake 0.010392
[1138/5000][465/535][117415] Loss_D: -0.020432 Loss_G: -0.000325 Loss_D_real: -0.009875 Loss_D_fake 0.010557
[1138/5000][470/535][117416] Loss_D: -0.021300 Loss_G: 0.021504 Loss_D_real: -0.032853 Loss_D_fake -0.011554
[1138/5000][475/535][117417] Loss_D: -0.021614 Loss_G: 0.010764 Loss_D_real: -0.018358 Loss_D_fake 0.003256
[1138/5000][480/535][117418] Loss_D: -0.022392 Loss_G: 0.005280 Loss_D_real: -0.028803 Loss_D_fake -0.006411
[1138/5000][485/535][117419] Loss_D: -0.021069 Loss_G: 0.030853 Loss_D_real: -0.037733 Loss_D_fake -0.016664
[1138/5000][490/535][117420] Loss_D: -0.020384 Loss_G: -0.011997 Loss_D_real: -0.006401 Loss_D_fake 0.013983
[1138/5000][495/535][117421] Loss_D: -0.020353 Loss_G: 0.003459 Loss_D_real: -0.010531 Loss_D_fake 0.009822
[1138/5000][500/535][117422] Loss_D: -0.021083 Loss_G: 0.010658 Loss_D_real: -0.020523 Loss_D_fake 0.000560
[1138/5000][505/535][117423] Loss_D: -0.020602 Loss_G: 0.006246 Loss_D_real: -0.015311 Loss_D_fake 0.005291
[1138/5000][510/535][117424] Loss_D: -0.019311 Loss_G: -0.009671 Loss_D_real: -0.005591 Loss_D_fake 0.013720
[1138/5000][515/535][117425] Loss_D: -0.020881 Loss_G: 0.016997 Loss_D_real: -0.034014 Loss_D_fake -0.013133
[1138/5000][520/535][117426] Loss_D: -0.020186 Loss_G: 0.014567 Loss_D_real: -0.014706 Loss_D_fake 0.005481
[1138/5000][525/535][117427] Loss_D: -0.021133 Loss_G: -0.006157 Loss_D_real: -0.014069 Loss_D_fake 0.007064
[1138/5000][530/535][117428] Loss_D: -0.021980 Loss_G: 0.029255 Loss_D_real: -0.017543 Loss_D_fake 0.004438
[1138/5000][535/535][117429] Loss_D: -0.017157 Loss_G: -0.015953 Loss_D_real: -0.012711 Loss_D_fake 0.004446
[1139/5000][5/535][117430] Loss_D: -0.021963 Loss_G: 0.010964 Loss_D_real: -0.019094 Loss_D_fake 0.002869
[1139/5000][10/535][117431] Loss_D: -0.020988 Loss_G: -0.001290 Loss_D_real: -0.017928 Loss_D_fake 0.003060
[1139/5000][15/535][117432] Loss_D: -0.020771 Loss_G: -0.001340 Loss_D_real: -0.013513 Loss_D_fake 0.007257
[1139/5000][20/535][117433] Loss_D: -0.021231 Loss_G: 0.007324 Loss_D_real: -0.019657 Loss_D_fake 0.001575
[1139/5000][25/535][117434] Loss_D: -0.020691 Loss_G: -0.002700 Loss_D_real: -0.011484 Loss_D_fake 0.009207
[1139/5000][30/535][117435] Loss_D: -0.021904 Loss_G: 0.006097 Loss_D_real: -0.012390 Loss_D_fake 0.009514
[1139/5000][35/535][117436] Loss_D: -0.021558 Loss_G: 0.023517 Loss_D_real: -0.033097 Loss_D_fake -0.011539
[1139/5000][40/535][117437] Loss_D: -0.020205 Loss_G: -0.005882 Loss_D_real: -0.002037 Loss_D_fake 0.018169
[1139/5000][45/535][117438] Loss_D: -0.019550 Loss_G: 0.003285 Loss_D_real: -0.014104 Loss_D_fake 0.005446
[1139/5000][50/535][117439] Loss_D: -0.022334 Loss_G: 0.009765 Loss_D_real: -0.011788 Loss_D_fake 0.010547
[1139/5000][55/535][117440] Loss_D: -0.020661 Loss_G: -0.009789 Loss_D_real: -0.004273 Loss_D_fake 0.016388
[1139/5000][60/535][117441] Loss_D: -0.021398 Loss_G: 0.004082 Loss_D_real: -0.008645 Loss_D_fake 0.012753
[1139/5000][65/535][117442] Loss_D: -0.019524 Loss_G: -0.008918 Loss_D_real: -0.003173 Loss_D_fake 0.016352
[1139/5000][70/535][117443] Loss_D: -0.021683 Loss_G: 0.004475 Loss_D_real: -0.030638 Loss_D_fake -0.008955
[1139/5000][75/535][117444] Loss_D: -0.021623 Loss_G: 0.001887 Loss_D_real: 0.001197 Loss_D_fake 0.022820
[1139/5000][80/535][117445] Loss_D: -0.020284 Loss_G: 0.014769 Loss_D_real: -0.026973 Loss_D_fake -0.006689
[1139/5000][85/535][117446] Loss_D: -0.020804 Loss_G: 0.005971 Loss_D_real: -0.012749 Loss_D_fake 0.008055
[1139/5000][90/535][117447] Loss_D: -0.022170 Loss_G: -0.000387 Loss_D_real: -0.015685 Loss_D_fake 0.006484
[1139/5000][95/535][117448] Loss_D: -0.020465 Loss_G: 0.006208 Loss_D_real: -0.003705 Loss_D_fake 0.016760
[1139/5000][100/535][117449] Loss_D: -0.020885 Loss_G: -0.012053 Loss_D_real: 0.003879 Loss_D_fake 0.024764
[1139/5000][105/535][117450] Loss_D: -0.020694 Loss_G: -0.001129 Loss_D_real: -0.010352 Loss_D_fake 0.010342
[1139/5000][110/535][117451] Loss_D: -0.021534 Loss_G: 0.023037 Loss_D_real: -0.022864 Loss_D_fake -0.001330
[1139/5000][115/535][117452] Loss_D: -0.019675 Loss_G: -0.010371 Loss_D_real: -0.005806 Loss_D_fake 0.013869
[1139/5000][120/535][117453] Loss_D: -0.019629 Loss_G: 0.011593 Loss_D_real: -0.020951 Loss_D_fake -0.001321
[1139/5000][125/535][117454] Loss_D: -0.019296 Loss_G: -0.006170 Loss_D_real: 0.001003 Loss_D_fake 0.020299
[1139/5000][130/535][117455] Loss_D: -0.019976 Loss_G: 0.011767 Loss_D_real: -0.025105 Loss_D_fake -0.005129
[1139/5000][135/535][117456] Loss_D: -0.020810 Loss_G: 0.013789 Loss_D_real: -0.021464 Loss_D_fake -0.000654
[1139/5000][140/535][117457] Loss_D: -0.019114 Loss_G: 0.020303 Loss_D_real: -0.033354 Loss_D_fake -0.014241
[1139/5000][145/535][117458] Loss_D: -0.020967 Loss_G: -0.004847 Loss_D_real: -0.007622 Loss_D_fake 0.013345
[1139/5000][150/535][117459] Loss_D: -0.019970 Loss_G: 0.021320 Loss_D_real: -0.020769 Loss_D_fake -0.000800
[1139/5000][155/535][117460] Loss_D: -0.020045 Loss_G: 0.024135 Loss_D_real: -0.028977 Loss_D_fake -0.008933
[1139/5000][160/535][117461] Loss_D: -0.020895 Loss_G: 0.002620 Loss_D_real: -0.013801 Loss_D_fake 0.007094
[1139/5000][165/535][117462] Loss_D: -0.021718 Loss_G: 0.000258 Loss_D_real: -0.008672 Loss_D_fake 0.013046
[1139/5000][170/535][117463] Loss_D: -0.019874 Loss_G: 0.007260 Loss_D_real: -0.022458 Loss_D_fake -0.002584
[1139/5000][175/535][117464] Loss_D: -0.020332 Loss_G: -0.003129 Loss_D_real: -0.012110 Loss_D_fake 0.008221
[1139/5000][180/535][117465] Loss_D: -0.021245 Loss_G: -0.003797 Loss_D_real: -0.023930 Loss_D_fake -0.002685
[1139/5000][185/535][117466] Loss_D: -0.021652 Loss_G: 0.013783 Loss_D_real: -0.015074 Loss_D_fake 0.006577
[1139/5000][190/535][117467] Loss_D: -0.021913 Loss_G: 0.016815 Loss_D_real: -0.030369 Loss_D_fake -0.008456
[1139/5000][195/535][117468] Loss_D: -0.021779 Loss_G: 0.004962 Loss_D_real: -0.023080 Loss_D_fake -0.001302
[1139/5000][200/535][117469] Loss_D: -0.022438 Loss_G: -0.006524 Loss_D_real: -0.017631 Loss_D_fake 0.004808
[1139/5000][205/535][117470] Loss_D: -0.019772 Loss_G: -0.005077 Loss_D_real: -0.018900 Loss_D_fake 0.000872
[1139/5000][210/535][117471] Loss_D: -0.021835 Loss_G: 0.022679 Loss_D_real: -0.016256 Loss_D_fake 0.005579
[1139/5000][215/535][117472] Loss_D: -0.020528 Loss_G: 0.010016 Loss_D_real: -0.025428 Loss_D_fake -0.004900
[1139/5000][220/535][117473] Loss_D: -0.020966 Loss_G: 0.016301 Loss_D_real: -0.024563 Loss_D_fake -0.003597
[1139/5000][225/535][117474] Loss_D: -0.021556 Loss_G: 0.000241 Loss_D_real: -0.010949 Loss_D_fake 0.010607
[1139/5000][230/535][117475] Loss_D: -0.020739 Loss_G: 0.013094 Loss_D_real: -0.017767 Loss_D_fake 0.002971
[1139/5000][235/535][117476] Loss_D: -0.020312 Loss_G: 0.000140 Loss_D_real: -0.022011 Loss_D_fake -0.001699
[1139/5000][240/535][117477] Loss_D: -0.021267 Loss_G: 0.006125 Loss_D_real: -0.023674 Loss_D_fake -0.002407
[1139/5000][245/535][117478] Loss_D: -0.021328 Loss_G: 0.011672 Loss_D_real: -0.023141 Loss_D_fake -0.001812
[1139/5000][250/535][117479] Loss_D: -0.021873 Loss_G: 0.013581 Loss_D_real: -0.014638 Loss_D_fake 0.007235
[1139/5000][255/535][117480] Loss_D: -0.020709 Loss_G: -0.001359 Loss_D_real: -0.006069 Loss_D_fake 0.014640
[1139/5000][260/535][117481] Loss_D: -0.021077 Loss_G: 0.017976 Loss_D_real: -0.010778 Loss_D_fake 0.010300
[1139/5000][265/535][117482] Loss_D: -0.020465 Loss_G: -0.022054 Loss_D_real: -0.008266 Loss_D_fake 0.012199
[1139/5000][270/535][117483] Loss_D: -0.020920 Loss_G: -0.004996 Loss_D_real: -0.013139 Loss_D_fake 0.007781
[1139/5000][275/535][117484] Loss_D: -0.021859 Loss_G: 0.009602 Loss_D_real: -0.008858 Loss_D_fake 0.013000
[1139/5000][280/535][117485] Loss_D: -0.020850 Loss_G: 0.021780 Loss_D_real: -0.032705 Loss_D_fake -0.011856
[1139/5000][285/535][117486] Loss_D: -0.021094 Loss_G: 0.005867 Loss_D_real: -0.031239 Loss_D_fake -0.010145
[1139/5000][290/535][117487] Loss_D: -0.020985 Loss_G: -0.006993 Loss_D_real: -0.002084 Loss_D_fake 0.018901
[1139/5000][295/535][117488] Loss_D: -0.021794 Loss_G: 0.016070 Loss_D_real: -0.023916 Loss_D_fake -0.002122
[1139/5000][300/535][117489] Loss_D: -0.020959 Loss_G: -0.000662 Loss_D_real: -0.011847 Loss_D_fake 0.009112
[1139/5000][305/535][117490] Loss_D: -0.021565 Loss_G: 0.000498 Loss_D_real: -0.011182 Loss_D_fake 0.010383
[1139/5000][310/535][117491] Loss_D: -0.019091 Loss_G: 0.011884 Loss_D_real: -0.029378 Loss_D_fake -0.010287
[1139/5000][315/535][117492] Loss_D: -0.021721 Loss_G: -0.006397 Loss_D_real: -0.009849 Loss_D_fake 0.011871
[1139/5000][320/535][117493] Loss_D: -0.020479 Loss_G: 0.008259 Loss_D_real: -0.017945 Loss_D_fake 0.002535
[1139/5000][325/535][117494] Loss_D: -0.021442 Loss_G: -0.000883 Loss_D_real: -0.023000 Loss_D_fake -0.001557
[1139/5000][330/535][117495] Loss_D: -0.020975 Loss_G: -0.003456 Loss_D_real: -0.010818 Loss_D_fake 0.010157
[1139/5000][335/535][117496] Loss_D: -0.021392 Loss_G: 0.000439 Loss_D_real: -0.009746 Loss_D_fake 0.011646
[1139/5000][340/535][117497] Loss_D: -0.020024 Loss_G: 0.010510 Loss_D_real: -0.023472 Loss_D_fake -0.003448
[1139/5000][345/535][117498] Loss_D: -0.021059 Loss_G: 0.010651 Loss_D_real: -0.012927 Loss_D_fake 0.008132
[1139/5000][350/535][117499] Loss_D: -0.021014 Loss_G: 0.011595 Loss_D_real: -0.021778 Loss_D_fake -0.000764
[1139/5000][355/535][117500] Loss_D: -0.020430 Loss_G: -0.000282 Loss_D_real: -0.023274 Loss_D_fake -0.002844
[1139/5000][455/535][117501] Loss_D: -0.023626 Loss_G: -0.016581 Loss_D_real: 0.000843 Loss_D_fake 0.024469
[1139/5000][460/535][117502] Loss_D: -0.021054 Loss_G: 0.014003 Loss_D_real: -0.017087 Loss_D_fake 0.003967
[1139/5000][465/535][117503] Loss_D: -0.020440 Loss_G: 0.016132 Loss_D_real: -0.015897 Loss_D_fake 0.004542
[1139/5000][470/535][117504] Loss_D: -0.018480 Loss_G: -0.004803 Loss_D_real: -0.006766 Loss_D_fake 0.011715
[1139/5000][475/535][117505] Loss_D: -0.019498 Loss_G: 0.013191 Loss_D_real: -0.019941 Loss_D_fake -0.000443
[1139/5000][480/535][117506] Loss_D: -0.020372 Loss_G: -0.008375 Loss_D_real: -0.004463 Loss_D_fake 0.015909
[1139/5000][485/535][117507] Loss_D: -0.020597 Loss_G: 0.008658 Loss_D_real: -0.017148 Loss_D_fake 0.003448
[1139/5000][490/535][117508] Loss_D: -0.020602 Loss_G: 0.005588 Loss_D_real: -0.008496 Loss_D_fake 0.012106
[1139/5000][495/535][117509] Loss_D: -0.020676 Loss_G: -0.001279 Loss_D_real: -0.016954 Loss_D_fake 0.003723
[1139/5000][500/535][117510] Loss_D: -0.020400 Loss_G: -0.006263 Loss_D_real: -0.015696 Loss_D_fake 0.004703
[1139/5000][505/535][117511] Loss_D: -0.020058 Loss_G: 0.000418 Loss_D_real: -0.014246 Loss_D_fake 0.005812
[1139/5000][510/535][117512] Loss_D: -0.021033 Loss_G: -0.002871 Loss_D_real: -0.018722 Loss_D_fake 0.002312
[1139/5000][515/535][117513] Loss_D: -0.019448 Loss_G: 0.030096 Loss_D_real: -0.029091 Loss_D_fake -0.009642
[1139/5000][520/535][117514] Loss_D: -0.019135 Loss_G: 0.003233 Loss_D_real: -0.016568 Loss_D_fake 0.002567
[1139/5000][525/535][117515] Loss_D: -0.020105 Loss_G: 0.023217 Loss_D_real: -0.024534 Loss_D_fake -0.004429
[1139/5000][530/535][117516] Loss_D: -0.020880 Loss_G: 0.007328 Loss_D_real: -0.017732 Loss_D_fake 0.003147
[1139/5000][535/535][117517] Loss_D: -0.019715 Loss_G: 0.004916 Loss_D_real: -0.017140 Loss_D_fake 0.002576
[1140/5000][5/535][117518] Loss_D: -0.020334 Loss_G: 0.010731 Loss_D_real: -0.011373 Loss_D_fake 0.008961
[1140/5000][10/535][117519] Loss_D: -0.021283 Loss_G: 0.005968 Loss_D_real: -0.012197 Loss_D_fake 0.009086
[1140/5000][15/535][117520] Loss_D: -0.020141 Loss_G: 0.012796 Loss_D_real: -0.010959 Loss_D_fake 0.009181
[1140/5000][20/535][117521] Loss_D: -0.018463 Loss_G: 0.006489 Loss_D_real: -0.020488 Loss_D_fake -0.002025
[1140/5000][25/535][117522] Loss_D: -0.019878 Loss_G: -0.011027 Loss_D_real: -0.007732 Loss_D_fake 0.012145
[1140/5000][30/535][117523] Loss_D: -0.020588 Loss_G: -0.006694 Loss_D_real: -0.009419 Loss_D_fake 0.011169
[1140/5000][35/535][117524] Loss_D: -0.021157 Loss_G: 0.013859 Loss_D_real: -0.025232 Loss_D_fake -0.004075
[1140/5000][40/535][117525] Loss_D: -0.020481 Loss_G: 0.014214 Loss_D_real: -0.017105 Loss_D_fake 0.003376
[1140/5000][45/535][117526] Loss_D: -0.021864 Loss_G: -0.004015 Loss_D_real: -0.005591 Loss_D_fake 0.016273
[1140/5000][50/535][117527] Loss_D: -0.022393 Loss_G: 0.018378 Loss_D_real: -0.031159 Loss_D_fake -0.008766
[1140/5000][55/535][117528] Loss_D: -0.020965 Loss_G: 0.002326 Loss_D_real: -0.011050 Loss_D_fake 0.009915
[1140/5000][60/535][117529] Loss_D: -0.019877 Loss_G: 0.012677 Loss_D_real: -0.023494 Loss_D_fake -0.003617
[1140/5000][65/535][117530] Loss_D: -0.021317 Loss_G: -0.003493 Loss_D_real: -0.009086 Loss_D_fake 0.012231
[1140/5000][70/535][117531] Loss_D: -0.020522 Loss_G: 0.005385 Loss_D_real: -0.009613 Loss_D_fake 0.010909
[1140/5000][75/535][117532] Loss_D: -0.021059 Loss_G: 0.014239 Loss_D_real: -0.028991 Loss_D_fake -0.007932
[1140/5000][80/535][117533] Loss_D: -0.020655 Loss_G: 0.002219 Loss_D_real: -0.022728 Loss_D_fake -0.002072
[1140/5000][85/535][117534] Loss_D: -0.022032 Loss_G: 0.011413 Loss_D_real: -0.021741 Loss_D_fake 0.000291
[1140/5000][90/535][117535] Loss_D: -0.021507 Loss_G: -0.011771 Loss_D_real: -0.003707 Loss_D_fake 0.017800
[1140/5000][95/535][117536] Loss_D: -0.021447 Loss_G: 0.026171 Loss_D_real: -0.021710 Loss_D_fake -0.000264
[1140/5000][100/535][117537] Loss_D: -0.022314 Loss_G: 0.009966 Loss_D_real: -0.011260 Loss_D_fake 0.011055
[1140/5000][105/535][117538] Loss_D: -0.020525 Loss_G: -0.001681 Loss_D_real: -0.006713 Loss_D_fake 0.013812
[1140/5000][110/535][117539] Loss_D: -0.021169 Loss_G: 0.010331 Loss_D_real: -0.018798 Loss_D_fake 0.002370
[1140/5000][115/535][117540] Loss_D: -0.020387 Loss_G: 0.018117 Loss_D_real: -0.028621 Loss_D_fake -0.008233
[1140/5000][120/535][117541] Loss_D: -0.020388 Loss_G: 0.014290 Loss_D_real: -0.019596 Loss_D_fake 0.000792
[1140/5000][125/535][117542] Loss_D: -0.021687 Loss_G: -0.002495 Loss_D_real: -0.011353 Loss_D_fake 0.010334
[1140/5000][130/535][117543] Loss_D: -0.021002 Loss_G: 0.011691 Loss_D_real: -0.029848 Loss_D_fake -0.008846
[1140/5000][135/535][117544] Loss_D: -0.020663 Loss_G: 0.012639 Loss_D_real: -0.014559 Loss_D_fake 0.006104
[1140/5000][140/535][117545] Loss_D: -0.021346 Loss_G: -0.015659 Loss_D_real: -0.006167 Loss_D_fake 0.015179
[1140/5000][145/535][117546] Loss_D: -0.020557 Loss_G: 0.003462 Loss_D_real: -0.004588 Loss_D_fake 0.015969
[1140/5000][150/535][117547] Loss_D: -0.022207 Loss_G: -0.014232 Loss_D_real: -0.007776 Loss_D_fake 0.014431
[1140/5000][155/535][117548] Loss_D: -0.020409 Loss_G: -0.001896 Loss_D_real: -0.003193 Loss_D_fake 0.017216
[1140/5000][160/535][117549] Loss_D: -0.022029 Loss_G: -0.002954 Loss_D_real: -0.007111 Loss_D_fake 0.014917
[1140/5000][165/535][117550] Loss_D: -0.021300 Loss_G: -0.008191 Loss_D_real: -0.010663 Loss_D_fake 0.010637
[1140/5000][170/535][117551] Loss_D: -0.020417 Loss_G: 0.026742 Loss_D_real: -0.027591 Loss_D_fake -0.007174
[1140/5000][175/535][117552] Loss_D: -0.022037 Loss_G: 0.011480 Loss_D_real: -0.017478 Loss_D_fake 0.004559
[1140/5000][180/535][117553] Loss_D: -0.021445 Loss_G: 0.007330 Loss_D_real: -0.016197 Loss_D_fake 0.005248
[1140/5000][185/535][117554] Loss_D: -0.019484 Loss_G: 0.021015 Loss_D_real: -0.028678 Loss_D_fake -0.009194
[1140/5000][190/535][117555] Loss_D: -0.020545 Loss_G: 0.019615 Loss_D_real: -0.021061 Loss_D_fake -0.000516
[1140/5000][195/535][117556] Loss_D: -0.020627 Loss_G: -0.002169 Loss_D_real: -0.008657 Loss_D_fake 0.011969
[1140/5000][200/535][117557] Loss_D: -0.019666 Loss_G: 0.008122 Loss_D_real: -0.019845 Loss_D_fake -0.000179
[1140/5000][205/535][117558] Loss_D: -0.021156 Loss_G: 0.002462 Loss_D_real: -0.019413 Loss_D_fake 0.001742
[1140/5000][210/535][117559] Loss_D: -0.019803 Loss_G: 0.019142 Loss_D_real: -0.032756 Loss_D_fake -0.012953
[1140/5000][215/535][117560] Loss_D: -0.020948 Loss_G: 0.000192 Loss_D_real: -0.022182 Loss_D_fake -0.001233
[1140/5000][220/535][117561] Loss_D: -0.021022 Loss_G: 0.001850 Loss_D_real: -0.016197 Loss_D_fake 0.004825
[1140/5000][225/535][117562] Loss_D: -0.022250 Loss_G: -0.006428 Loss_D_real: -0.016717 Loss_D_fake 0.005533
[1140/5000][230/535][117563] Loss_D: -0.019440 Loss_G: 0.018057 Loss_D_real: -0.024227 Loss_D_fake -0.004787
[1140/5000][235/535][117564] Loss_D: -0.019293 Loss_G: -0.000059 Loss_D_real: -0.014993 Loss_D_fake 0.004300
[1140/5000][240/535][117565] Loss_D: -0.020663 Loss_G: -0.005177 Loss_D_real: -0.011086 Loss_D_fake 0.009577
[1140/5000][245/535][117566] Loss_D: -0.021435 Loss_G: 0.006707 Loss_D_real: -0.012931 Loss_D_fake 0.008505
[1140/5000][250/535][117567] Loss_D: -0.020899 Loss_G: 0.003246 Loss_D_real: -0.012185 Loss_D_fake 0.008714
[1140/5000][255/535][117568] Loss_D: -0.019303 Loss_G: 0.011669 Loss_D_real: -0.022376 Loss_D_fake -0.003074
[1140/5000][260/535][117569] Loss_D: -0.019866 Loss_G: 0.006871 Loss_D_real: -0.013404 Loss_D_fake 0.006462
[1140/5000][265/535][117570] Loss_D: -0.021258 Loss_G: 0.008632 Loss_D_real: -0.023596 Loss_D_fake -0.002338
[1140/5000][270/535][117571] Loss_D: -0.021300 Loss_G: 0.016265 Loss_D_real: -0.024139 Loss_D_fake -0.002839
[1140/5000][275/535][117572] Loss_D: -0.021081 Loss_G: -0.002636 Loss_D_real: -0.006852 Loss_D_fake 0.014229
[1140/5000][280/535][117573] Loss_D: -0.021953 Loss_G: -0.007342 Loss_D_real: -0.016011 Loss_D_fake 0.005942
[1140/5000][285/535][117574] Loss_D: -0.020044 Loss_G: 0.028387 Loss_D_real: -0.038268 Loss_D_fake -0.018224
[1140/5000][290/535][117575] Loss_D: -0.020569 Loss_G: 0.010311 Loss_D_real: -0.020037 Loss_D_fake 0.000532
[1140/5000][295/535][117576] Loss_D: -0.021099 Loss_G: -0.016422 Loss_D_real: -0.008594 Loss_D_fake 0.012505
[1140/5000][300/535][117577] Loss_D: -0.021187 Loss_G: 0.008301 Loss_D_real: -0.008372 Loss_D_fake 0.012816
[1140/5000][305/535][117578] Loss_D: -0.021493 Loss_G: 0.000812 Loss_D_real: -0.024995 Loss_D_fake -0.003502
[1140/5000][310/535][117579] Loss_D: -0.020154 Loss_G: -0.002946 Loss_D_real: -0.006212 Loss_D_fake 0.013942
[1140/5000][315/535][117580] Loss_D: -0.020664 Loss_G: 0.022979 Loss_D_real: -0.021864 Loss_D_fake -0.001200
[1140/5000][320/535][117581] Loss_D: -0.019578 Loss_G: 0.024254 Loss_D_real: -0.027187 Loss_D_fake -0.007609
[1140/5000][325/535][117582] Loss_D: -0.020470 Loss_G: -0.003715 Loss_D_real: -0.010233 Loss_D_fake 0.010236
[1140/5000][330/535][117583] Loss_D: -0.021930 Loss_G: 0.003188 Loss_D_real: -0.020257 Loss_D_fake 0.001673
[1140/5000][335/535][117584] Loss_D: -0.020461 Loss_G: -0.000682 Loss_D_real: -0.002075 Loss_D_fake 0.018386
[1140/5000][340/535][117585] Loss_D: -0.021887 Loss_G: 0.016993 Loss_D_real: -0.017970 Loss_D_fake 0.003917
[1140/5000][345/535][117586] Loss_D: -0.021551 Loss_G: 0.004239 Loss_D_real: -0.016249 Loss_D_fake 0.005302
[1140/5000][350/535][117587] Loss_D: -0.020368 Loss_G: 0.027892 Loss_D_real: -0.027577 Loss_D_fake -0.007209
[1140/5000][355/535][117588] Loss_D: -0.020527 Loss_G: -0.013980 Loss_D_real: -0.011799 Loss_D_fake 0.008728
[1140/5000][360/535][117589] Loss_D: -0.018216 Loss_G: 0.021699 Loss_D_real: -0.032120 Loss_D_fake -0.013904
[1140/5000][365/535][117590] Loss_D: -0.021526 Loss_G: 0.008048 Loss_D_real: -0.023480 Loss_D_fake -0.001954
[1140/5000][370/535][117591] Loss_D: -0.019679 Loss_G: 0.016907 Loss_D_real: -0.026386 Loss_D_fake -0.006707
[1140/5000][375/535][117592] Loss_D: -0.019726 Loss_G: 0.007673 Loss_D_real: -0.023642 Loss_D_fake -0.003915
[1140/5000][380/535][117593] Loss_D: -0.020889 Loss_G: 0.017416 Loss_D_real: -0.025745 Loss_D_fake -0.004856
[1140/5000][385/535][117594] Loss_D: -0.020639 Loss_G: -0.006414 Loss_D_real: -0.020259 Loss_D_fake 0.000380
[1140/5000][390/535][117595] Loss_D: -0.021680 Loss_G: -0.000935 Loss_D_real: -0.018251 Loss_D_fake 0.003429
[1140/5000][395/535][117596] Loss_D: -0.019554 Loss_G: -0.008014 Loss_D_real: -0.007744 Loss_D_fake 0.011810
[1140/5000][400/535][117597] Loss_D: -0.020706 Loss_G: 0.024218 Loss_D_real: -0.033266 Loss_D_fake -0.012560
[1140/5000][405/535][117598] Loss_D: -0.021111 Loss_G: -0.005070 Loss_D_real: -0.002664 Loss_D_fake 0.018447
[1140/5000][410/535][117599] Loss_D: -0.019918 Loss_G: 0.002449 Loss_D_real: -0.005787 Loss_D_fake 0.014131
[1140/5000][415/535][117600] Loss_D: -0.022071 Loss_G: -0.002534 Loss_D_real: -0.011191 Loss_D_fake 0.010881
[1140/5000][420/535][117601] Loss_D: -0.021620 Loss_G: -0.007482 Loss_D_real: -0.009297 Loss_D_fake 0.012323
[1140/5000][425/535][117602] Loss_D: -0.021922 Loss_G: 0.011916 Loss_D_real: -0.009581 Loss_D_fake 0.012341
[1140/5000][430/535][117603] Loss_D: -0.021240 Loss_G: 0.011028 Loss_D_real: -0.018319 Loss_D_fake 0.002921
[1140/5000][435/535][117604] Loss_D: -0.020504 Loss_G: 0.019945 Loss_D_real: -0.017729 Loss_D_fake 0.002775
[1140/5000][440/535][117605] Loss_D: -0.019213 Loss_G: 0.020870 Loss_D_real: -0.039662 Loss_D_fake -0.020449
[1140/5000][445/535][117606] Loss_D: -0.020944 Loss_G: 0.009334 Loss_D_real: -0.008929 Loss_D_fake 0.012015
[1140/5000][450/535][117607] Loss_D: -0.021974 Loss_G: 0.013089 Loss_D_real: -0.011028 Loss_D_fake 0.010945
[1140/5000][455/535][117608] Loss_D: -0.021265 Loss_G: -0.005613 Loss_D_real: -0.009164 Loss_D_fake 0.012101
[1140/5000][460/535][117609] Loss_D: -0.019804 Loss_G: 0.007455 Loss_D_real: -0.012813 Loss_D_fake 0.006991
[1140/5000][465/535][117610] Loss_D: -0.018131 Loss_G: 0.026458 Loss_D_real: -0.038671 Loss_D_fake -0.020540
[1140/5000][470/535][117611] Loss_D: -0.022400 Loss_G: -0.008660 Loss_D_real: -0.008411 Loss_D_fake 0.013989
[1140/5000][475/535][117612] Loss_D: -0.021051 Loss_G: 0.016067 Loss_D_real: -0.019297 Loss_D_fake 0.001754
[1140/5000][480/535][117613] Loss_D: -0.020582 Loss_G: 0.001423 Loss_D_real: -0.026304 Loss_D_fake -0.005722
[1140/5000][485/535][117614] Loss_D: -0.020344 Loss_G: 0.016725 Loss_D_real: -0.030484 Loss_D_fake -0.010139
[1140/5000][490/535][117615] Loss_D: -0.020367 Loss_G: 0.016997 Loss_D_real: -0.028097 Loss_D_fake -0.007731
[1140/5000][495/535][117616] Loss_D: -0.020368 Loss_G: 0.007624 Loss_D_real: -0.021199 Loss_D_fake -0.000831
[1140/5000][500/535][117617] Loss_D: -0.021843 Loss_G: 0.004902 Loss_D_real: -0.016351 Loss_D_fake 0.005492
[1140/5000][505/535][117618] Loss_D: -0.019846 Loss_G: 0.011399 Loss_D_real: -0.025403 Loss_D_fake -0.005557
[1140/5000][510/535][117619] Loss_D: -0.021217 Loss_G: -0.005449 Loss_D_real: -0.008681 Loss_D_fake 0.012536
[1140/5000][515/535][117620] Loss_D: -0.020938 Loss_G: 0.008333 Loss_D_real: -0.018493 Loss_D_fake 0.002444
[1140/5000][520/535][117621] Loss_D: -0.019362 Loss_G: 0.030392 Loss_D_real: -0.024426 Loss_D_fake -0.005064
[1140/5000][525/535][117622] Loss_D: -0.019901 Loss_G: 0.007920 Loss_D_real: -0.028524 Loss_D_fake -0.008623
[1140/5000][530/535][117623] Loss_D: -0.022004 Loss_G: 0.017429 Loss_D_real: -0.019981 Loss_D_fake 0.002023
[1140/5000][535/535][117624] Loss_D: -0.023707 Loss_G: 0.035568 Loss_D_real: -0.010277 Loss_D_fake 0.013430
[1141/5000][5/535][117625] Loss_D: -0.022725 Loss_G: -0.004366 Loss_D_real: -0.004902 Loss_D_fake 0.017823
[1141/5000][10/535][117626] Loss_D: -0.020696 Loss_G: 0.007899 Loss_D_real: -0.014167 Loss_D_fake 0.006528
[1141/5000][15/535][117627] Loss_D: -0.021183 Loss_G: -0.002080 Loss_D_real: -0.013453 Loss_D_fake 0.007730
[1141/5000][20/535][117628] Loss_D: -0.020588 Loss_G: 0.010505 Loss_D_real: -0.022550 Loss_D_fake -0.001962
[1141/5000][25/535][117629] Loss_D: -0.021325 Loss_G: 0.004149 Loss_D_real: -0.025242 Loss_D_fake -0.003917
[1141/5000][30/535][117630] Loss_D: -0.020200 Loss_G: 0.032832 Loss_D_real: -0.025721 Loss_D_fake -0.005521
[1141/5000][35/535][117631] Loss_D: -0.021139 Loss_G: 0.019461 Loss_D_real: -0.021858 Loss_D_fake -0.000719
[1141/5000][40/535][117632] Loss_D: -0.022304 Loss_G: -0.003736 Loss_D_real: -0.010805 Loss_D_fake 0.011500
[1141/5000][45/535][117633] Loss_D: -0.020906 Loss_G: 0.004547 Loss_D_real: -0.015104 Loss_D_fake 0.005801
[1141/5000][50/535][117634] Loss_D: -0.020638 Loss_G: 0.004057 Loss_D_real: -0.019128 Loss_D_fake 0.001510
[1141/5000][55/535][117635] Loss_D: -0.021357 Loss_G: 0.023731 Loss_D_real: -0.015744 Loss_D_fake 0.005612
[1141/5000][60/535][117636] Loss_D: -0.021269 Loss_G: -0.005476 Loss_D_real: -0.014843 Loss_D_fake 0.006425
[1141/5000][65/535][117637] Loss_D: -0.019389 Loss_G: 0.010434 Loss_D_real: -0.030826 Loss_D_fake -0.011437
[1141/5000][70/535][117638] Loss_D: -0.020872 Loss_G: 0.007069 Loss_D_real: -0.013268 Loss_D_fake 0.007604
[1141/5000][75/535][117639] Loss_D: -0.020820 Loss_G: 0.009256 Loss_D_real: -0.009898 Loss_D_fake 0.010922
[1141/5000][80/535][117640] Loss_D: -0.020155 Loss_G: 0.000526 Loss_D_real: -0.010948 Loss_D_fake 0.009207
[1141/5000][85/535][117641] Loss_D: -0.020246 Loss_G: -0.002190 Loss_D_real: -0.008557 Loss_D_fake 0.011689
[1141/5000][90/535][117642] Loss_D: -0.019087 Loss_G: 0.030592 Loss_D_real: -0.030563 Loss_D_fake -0.011476
[1141/5000][95/535][117643] Loss_D: -0.023370 Loss_G: -0.008125 Loss_D_real: -0.016198 Loss_D_fake 0.007172
[1141/5000][100/535][117644] Loss_D: -0.021589 Loss_G: -0.000930 Loss_D_real: -0.000746 Loss_D_fake 0.020843
[1141/5000][105/535][117645] Loss_D: -0.022039 Loss_G: 0.010788 Loss_D_real: -0.021859 Loss_D_fake 0.000180
[1141/5000][110/535][117646] Loss_D: -0.020566 Loss_G: 0.019924 Loss_D_real: -0.012350 Loss_D_fake 0.008216
[1141/5000][115/535][117647] Loss_D: -0.021173 Loss_G: 0.015053 Loss_D_real: -0.010511 Loss_D_fake 0.010663
[1141/5000][120/535][117648] Loss_D: -0.022335 Loss_G: 0.010929 Loss_D_real: -0.019660 Loss_D_fake 0.002675
[1141/5000][125/535][117649] Loss_D: -0.019920 Loss_G: -0.011301 Loss_D_real: 0.000347 Loss_D_fake 0.020267
[1141/5000][130/535][117650] Loss_D: -0.020163 Loss_G: 0.013498 Loss_D_real: -0.024466 Loss_D_fake -0.004303
[1141/5000][135/535][117651] Loss_D: -0.021442 Loss_G: 0.000621 Loss_D_real: -0.019306 Loss_D_fake 0.002136
[1141/5000][140/535][117652] Loss_D: -0.023833 Loss_G: 0.024178 Loss_D_real: -0.026764 Loss_D_fake -0.002931
[1141/5000][145/535][117653] Loss_D: -0.021519 Loss_G: -0.006306 Loss_D_real: -0.013921 Loss_D_fake 0.007598
[1141/5000][150/535][117654] Loss_D: -0.020127 Loss_G: 0.027771 Loss_D_real: -0.027471 Loss_D_fake -0.007344
[1141/5000][155/535][117655] Loss_D: -0.020857 Loss_G: 0.008183 Loss_D_real: -0.020219 Loss_D_fake 0.000638
[1141/5000][160/535][117656] Loss_D: -0.021867 Loss_G: -0.004368 Loss_D_real: -0.015555 Loss_D_fake 0.006312
[1141/5000][165/535][117657] Loss_D: -0.020494 Loss_G: 0.009747 Loss_D_real: -0.014332 Loss_D_fake 0.006162
[1141/5000][170/535][117658] Loss_D: -0.020155 Loss_G: 0.018532 Loss_D_real: -0.029357 Loss_D_fake -0.009202
[1141/5000][175/535][117659] Loss_D: -0.020374 Loss_G: -0.004855 Loss_D_real: -0.003085 Loss_D_fake 0.017289
[1141/5000][180/535][117660] Loss_D: -0.020407 Loss_G: -0.016676 Loss_D_real: -0.007268 Loss_D_fake 0.013139
[1141/5000][185/535][117661] Loss_D: -0.020768 Loss_G: 0.014984 Loss_D_real: -0.018623 Loss_D_fake 0.002146
[1141/5000][190/535][117662] Loss_D: -0.020970 Loss_G: 0.016579 Loss_D_real: -0.019432 Loss_D_fake 0.001538
[1141/5000][195/535][117663] Loss_D: -0.021015 Loss_G: -0.013206 Loss_D_real: 0.006280 Loss_D_fake 0.027295
[1141/5000][200/535][117664] Loss_D: -0.022158 Loss_G: 0.016693 Loss_D_real: -0.025055 Loss_D_fake -0.002897
[1141/5000][205/535][117665] Loss_D: -0.019727 Loss_G: 0.018205 Loss_D_real: -0.024321 Loss_D_fake -0.004594
[1141/5000][210/535][117666] Loss_D: -0.021882 Loss_G: 0.009933 Loss_D_real: -0.024329 Loss_D_fake -0.002447
[1141/5000][215/535][117667] Loss_D: -0.022076 Loss_G: 0.004371 Loss_D_real: -0.019324 Loss_D_fake 0.002752
[1141/5000][220/535][117668] Loss_D: -0.021527 Loss_G: -0.010057 Loss_D_real: -0.013633 Loss_D_fake 0.007894
[1141/5000][225/535][117669] Loss_D: -0.021099 Loss_G: 0.005769 Loss_D_real: -0.023206 Loss_D_fake -0.002108
[1141/5000][230/535][117670] Loss_D: -0.022350 Loss_G: 0.021820 Loss_D_real: -0.021563 Loss_D_fake 0.000787
[1141/5000][235/535][117671] Loss_D: -0.021300 Loss_G: 0.016517 Loss_D_real: -0.017830 Loss_D_fake 0.003470
[1141/5000][240/535][117672] Loss_D: -0.022039 Loss_G: -0.002388 Loss_D_real: -0.000059 Loss_D_fake 0.021979
[1141/5000][245/535][117673] Loss_D: -0.019578 Loss_G: -0.010022 Loss_D_real: -0.005748 Loss_D_fake 0.013830
[1141/5000][250/535][117674] Loss_D: -0.020303 Loss_G: -0.002136 Loss_D_real: 0.002084 Loss_D_fake 0.022387
[1141/5000][255/535][117675] Loss_D: -0.022201 Loss_G: 0.005034 Loss_D_real: -0.016757 Loss_D_fake 0.005444
[1141/5000][260/535][117676] Loss_D: -0.020265 Loss_G: -0.001639 Loss_D_real: -0.028913 Loss_D_fake -0.008649
[1141/5000][265/535][117677] Loss_D: -0.022216 Loss_G: 0.019977 Loss_D_real: -0.019906 Loss_D_fake 0.002310
[1141/5000][270/535][117678] Loss_D: -0.020756 Loss_G: 0.000288 Loss_D_real: -0.007345 Loss_D_fake 0.013410
[1141/5000][275/535][117679] Loss_D: -0.020790 Loss_G: -0.008086 Loss_D_real: -0.011639 Loss_D_fake 0.009151
[1141/5000][280/535][117680] Loss_D: -0.020483 Loss_G: 0.014264 Loss_D_real: -0.023023 Loss_D_fake -0.002540
[1141/5000][285/535][117681] Loss_D: -0.021227 Loss_G: 0.020154 Loss_D_real: -0.020666 Loss_D_fake 0.000561
[1141/5000][290/535][117682] Loss_D: -0.019544 Loss_G: 0.001109 Loss_D_real: -0.007192 Loss_D_fake 0.012352
[1141/5000][295/535][117683] Loss_D: -0.021418 Loss_G: -0.004659 Loss_D_real: -0.001915 Loss_D_fake 0.019503
[1141/5000][300/535][117684] Loss_D: -0.021694 Loss_G: 0.018252 Loss_D_real: -0.010754 Loss_D_fake 0.010941
[1141/5000][305/535][117685] Loss_D: -0.022504 Loss_G: 0.012319 Loss_D_real: -0.021293 Loss_D_fake 0.001211
[1141/5000][310/535][117686] Loss_D: -0.021353 Loss_G: -0.001513 Loss_D_real: -0.022948 Loss_D_fake -0.001594
[1141/5000][315/535][117687] Loss_D: -0.020872 Loss_G: 0.018293 Loss_D_real: -0.032455 Loss_D_fake -0.011583
[1141/5000][320/535][117688] Loss_D: -0.022432 Loss_G: -0.001718 Loss_D_real: -0.003960 Loss_D_fake 0.018472
[1141/5000][325/535][117689] Loss_D: -0.021048 Loss_G: 0.011819 Loss_D_real: -0.020254 Loss_D_fake 0.000794
[1141/5000][330/535][117690] Loss_D: -0.021343 Loss_G: 0.012429 Loss_D_real: -0.016660 Loss_D_fake 0.004683
[1141/5000][335/535][117691] Loss_D: -0.020605 Loss_G: 0.021409 Loss_D_real: -0.028533 Loss_D_fake -0.007927
[1141/5000][340/535][117692] Loss_D: -0.022372 Loss_G: -0.001346 Loss_D_real: -0.010852 Loss_D_fake 0.011519
[1141/5000][345/535][117693] Loss_D: -0.021403 Loss_G: 0.015302 Loss_D_real: -0.023503 Loss_D_fake -0.002100
[1141/5000][350/535][117694] Loss_D: -0.021107 Loss_G: -0.005036 Loss_D_real: 0.000913 Loss_D_fake 0.022020
[1141/5000][355/535][117695] Loss_D: -0.020634 Loss_G: 0.012890 Loss_D_real: -0.013069 Loss_D_fake 0.007564
[1141/5000][360/535][117696] Loss_D: -0.020668 Loss_G: -0.016197 Loss_D_real: -0.003188 Loss_D_fake 0.017480
[1141/5000][365/535][117697] Loss_D: -0.018992 Loss_G: 0.011443 Loss_D_real: -0.028439 Loss_D_fake -0.009446
[1141/5000][370/535][117698] Loss_D: -0.021634 Loss_G: 0.017364 Loss_D_real: -0.025739 Loss_D_fake -0.004105
[1141/5000][375/535][117699] Loss_D: -0.020745 Loss_G: 0.029321 Loss_D_real: -0.028189 Loss_D_fake -0.007444
[1141/5000][380/535][117700] Loss_D: -0.020859 Loss_G: -0.004296 Loss_D_real: -0.015585 Loss_D_fake 0.005275
[1141/5000][385/535][117701] Loss_D: -0.020749 Loss_G: -0.006841 Loss_D_real: -0.012089 Loss_D_fake 0.008661
[1141/5000][390/535][117702] Loss_D: -0.020965 Loss_G: -0.000695 Loss_D_real: -0.011452 Loss_D_fake 0.009513
[1141/5000][395/535][117703] Loss_D: -0.021973 Loss_G: 0.002903 Loss_D_real: -0.014383 Loss_D_fake 0.007591
[1141/5000][400/535][117704] Loss_D: -0.022016 Loss_G: 0.011324 Loss_D_real: -0.021693 Loss_D_fake 0.000323
[1141/5000][405/535][117705] Loss_D: -0.021256 Loss_G: -0.003351 Loss_D_real: -0.008133 Loss_D_fake 0.013123
[1141/5000][410/535][117706] Loss_D: -0.022375 Loss_G: 0.013999 Loss_D_real: -0.012190 Loss_D_fake 0.010185
[1141/5000][415/535][117707] Loss_D: -0.022409 Loss_G: -0.002760 Loss_D_real: -0.014341 Loss_D_fake 0.008068
[1141/5000][420/535][117708] Loss_D: -0.022236 Loss_G: -0.006216 Loss_D_real: -0.008781 Loss_D_fake 0.013455
[1141/5000][425/535][117709] Loss_D: -0.020878 Loss_G: -0.007719 Loss_D_real: -0.006698 Loss_D_fake 0.014181
[1141/5000][430/535][117710] Loss_D: -0.021925 Loss_G: 0.009664 Loss_D_real: -0.012114 Loss_D_fake 0.009811
[1141/5000][435/535][117711] Loss_D: -0.020663 Loss_G: 0.011453 Loss_D_real: -0.018122 Loss_D_fake 0.002541
[1141/5000][440/535][117712] Loss_D: -0.021909 Loss_G: 0.018124 Loss_D_real: -0.023465 Loss_D_fake -0.001556
[1141/5000][445/535][117713] Loss_D: -0.021602 Loss_G: 0.003330 Loss_D_real: -0.016914 Loss_D_fake 0.004688
[1141/5000][450/535][117714] Loss_D: -0.022277 Loss_G: 0.006225 Loss_D_real: -0.013927 Loss_D_fake 0.008350
[1141/5000][455/535][117715] Loss_D: -0.021840 Loss_G: 0.007884 Loss_D_real: -0.026383 Loss_D_fake -0.004543
[1141/5000][460/535][117716] Loss_D: -0.021346 Loss_G: 0.004994 Loss_D_real: -0.019184 Loss_D_fake 0.002162
[1141/5000][465/535][117717] Loss_D: -0.021263 Loss_G: 0.002090 Loss_D_real: -0.015950 Loss_D_fake 0.005313
[1141/5000][470/535][117718] Loss_D: -0.020485 Loss_G: 0.008426 Loss_D_real: -0.021932 Loss_D_fake -0.001447
[1141/5000][475/535][117719] Loss_D: -0.021621 Loss_G: 0.008605 Loss_D_real: -0.019251 Loss_D_fake 0.002370
[1141/5000][480/535][117720] Loss_D: -0.020002 Loss_G: 0.023276 Loss_D_real: -0.032216 Loss_D_fake -0.012214
[1141/5000][485/535][117721] Loss_D: -0.020809 Loss_G: 0.001056 Loss_D_real: -0.023655 Loss_D_fake -0.002846
[1141/5000][490/535][117722] Loss_D: -0.019480 Loss_G: 0.016187 Loss_D_real: -0.030300 Loss_D_fake -0.010819
[1141/5000][495/535][117723] Loss_D: -0.020238 Loss_G: 0.021992 Loss_D_real: -0.024890 Loss_D_fake -0.004652
[1141/5000][500/535][117724] Loss_D: -0.019938 Loss_G: 0.009759 Loss_D_real: -0.018532 Loss_D_fake 0.001406
[1141/5000][505/535][117725] Loss_D: -0.019962 Loss_G: 0.021853 Loss_D_real: -0.029370 Loss_D_fake -0.009408
[1141/5000][510/535][117726] Loss_D: -0.021421 Loss_G: 0.009758 Loss_D_real: -0.016487 Loss_D_fake 0.004934
[1141/5000][515/535][117727] Loss_D: -0.020224 Loss_G: 0.017925 Loss_D_real: -0.017767 Loss_D_fake 0.002456
[1141/5000][520/535][117728] Loss_D: -0.022117 Loss_G: 0.001388 Loss_D_real: -0.020014 Loss_D_fake 0.002103
[1141/5000][525/535][117729] Loss_D: -0.020695 Loss_G: 0.025245 Loss_D_real: -0.027200 Loss_D_fake -0.006505
[1141/5000][530/535][117730] Loss_D: -0.022813 Loss_G: 0.016135 Loss_D_real: -0.030193 Loss_D_fake -0.007379
[1141/5000][535/535][117731] Loss_D: -0.021252 Loss_G: 0.019778 Loss_D_real: -0.014239 Loss_D_fake 0.007013
[1142/5000][5/535][117732] Loss_D: -0.020856 Loss_G: 0.015558 Loss_D_real: -0.029550 Loss_D_fake -0.008694
[1142/5000][10/535][117733] Loss_D: -0.020943 Loss_G: -0.011977 Loss_D_real: -0.011386 Loss_D_fake 0.009557
[1142/5000][15/535][117734] Loss_D: -0.021211 Loss_G: 0.000970 Loss_D_real: -0.008605 Loss_D_fake 0.012607
[1142/5000][20/535][117735] Loss_D: -0.020309 Loss_G: 0.023646 Loss_D_real: -0.026060 Loss_D_fake -0.005751
[1142/5000][25/535][117736] Loss_D: -0.019950 Loss_G: 0.004586 Loss_D_real: -0.013675 Loss_D_fake 0.006275
[1142/5000][30/535][117737] Loss_D: -0.020752 Loss_G: 0.012052 Loss_D_real: -0.025983 Loss_D_fake -0.005232
[1142/5000][35/535][117738] Loss_D: -0.020128 Loss_G: 0.026410 Loss_D_real: -0.028390 Loss_D_fake -0.008262
[1142/5000][40/535][117739] Loss_D: -0.020731 Loss_G: -0.001623 Loss_D_real: -0.015266 Loss_D_fake 0.005465
[1142/5000][45/535][117740] Loss_D: -0.020695 Loss_G: 0.015047 Loss_D_real: -0.022316 Loss_D_fake -0.001621
[1142/5000][50/535][117741] Loss_D: -0.020451 Loss_G: 0.002967 Loss_D_real: -0.010484 Loss_D_fake 0.009967
[1142/5000][55/535][117742] Loss_D: -0.020059 Loss_G: 0.023579 Loss_D_real: -0.033277 Loss_D_fake -0.013218
[1142/5000][60/535][117743] Loss_D: -0.020653 Loss_G: 0.012218 Loss_D_real: -0.018100 Loss_D_fake 0.002553
[1142/5000][65/535][117744] Loss_D: -0.021238 Loss_G: 0.010945 Loss_D_real: -0.020595 Loss_D_fake 0.000643
[1142/5000][70/535][117745] Loss_D: -0.020600 Loss_G: -0.003468 Loss_D_real: -0.010075 Loss_D_fake 0.010525
[1142/5000][75/535][117746] Loss_D: -0.021788 Loss_G: 0.013996 Loss_D_real: -0.017083 Loss_D_fake 0.004704
[1142/5000][80/535][117747] Loss_D: -0.021167 Loss_G: 0.013006 Loss_D_real: -0.020442 Loss_D_fake 0.000726
[1142/5000][85/535][117748] Loss_D: -0.022411 Loss_G: 0.023260 Loss_D_real: -0.015439 Loss_D_fake 0.006971
[1142/5000][90/535][117749] Loss_D: -0.020605 Loss_G: -0.000917 Loss_D_real: -0.015108 Loss_D_fake 0.005497
[1142/5000][95/535][117750] Loss_D: -0.020242 Loss_G: 0.009125 Loss_D_real: -0.023682 Loss_D_fake -0.003440
[1142/5000][100/535][117751] Loss_D: -0.019164 Loss_G: 0.017920 Loss_D_real: -0.024947 Loss_D_fake -0.005782
[1142/5000][105/535][117752] Loss_D: -0.021428 Loss_G: 0.003396 Loss_D_real: -0.009386 Loss_D_fake 0.012042
[1142/5000][110/535][117753] Loss_D: -0.021116 Loss_G: 0.004569 Loss_D_real: -0.010786 Loss_D_fake 0.010330
[1142/5000][115/535][117754] Loss_D: -0.020957 Loss_G: -0.006801 Loss_D_real: -0.013210 Loss_D_fake 0.007747
[1142/5000][120/535][117755] Loss_D: -0.020013 Loss_G: 0.001951 Loss_D_real: -0.016436 Loss_D_fake 0.003576
[1142/5000][125/535][117756] Loss_D: -0.020015 Loss_G: 0.014252 Loss_D_real: -0.034870 Loss_D_fake -0.014855
[1142/5000][130/535][117757] Loss_D: -0.020720 Loss_G: 0.008748 Loss_D_real: -0.022279 Loss_D_fake -0.001559
[1142/5000][135/535][117758] Loss_D: -0.020399 Loss_G: -0.001386 Loss_D_real: -0.008677 Loss_D_fake 0.011723
[1142/5000][140/535][117759] Loss_D: -0.021550 Loss_G: 0.015431 Loss_D_real: -0.019069 Loss_D_fake 0.002481
[1142/5000][145/535][117760] Loss_D: -0.020130 Loss_G: -0.003583 Loss_D_real: -0.007239 Loss_D_fake 0.012891
[1142/5000][150/535][117761] Loss_D: -0.021000 Loss_G: 0.010055 Loss_D_real: -0.020051 Loss_D_fake 0.000949
[1142/5000][155/535][117762] Loss_D: -0.020972 Loss_G: 0.022254 Loss_D_real: -0.030324 Loss_D_fake -0.009352
[1142/5000][160/535][117763] Loss_D: -0.020790 Loss_G: -0.001696 Loss_D_real: -0.012827 Loss_D_fake 0.007962
[1142/5000][165/535][117764] Loss_D: -0.020151 Loss_G: 0.013437 Loss_D_real: -0.033468 Loss_D_fake -0.013318
[1142/5000][170/535][117765] Loss_D: -0.021260 Loss_G: -0.003889 Loss_D_real: -0.009509 Loss_D_fake 0.011751
[1142/5000][175/535][117766] Loss_D: -0.017466 Loss_G: 0.031951 Loss_D_real: -0.042321 Loss_D_fake -0.024856
[1142/5000][180/535][117767] Loss_D: -0.021579 Loss_G: 0.008192 Loss_D_real: -0.019679 Loss_D_fake 0.001900
[1142/5000][185/535][117768] Loss_D: -0.021137 Loss_G: 0.008713 Loss_D_real: -0.020449 Loss_D_fake 0.000688
[1142/5000][190/535][117769] Loss_D: -0.021379 Loss_G: 0.010996 Loss_D_real: -0.019498 Loss_D_fake 0.001881
[1142/5000][195/535][117770] Loss_D: -0.022139 Loss_G: -0.000189 Loss_D_real: -0.013626 Loss_D_fake 0.008514
[1142/5000][200/535][117771] Loss_D: -0.019382 Loss_G: -0.010213 Loss_D_real: -0.001096 Loss_D_fake 0.018286
[1142/5000][205/535][117772] Loss_D: -0.020724 Loss_G: 0.004618 Loss_D_real: -0.022242 Loss_D_fake -0.001519
[1142/5000][210/535][117773] Loss_D: -0.021542 Loss_G: 0.011481 Loss_D_real: -0.028295 Loss_D_fake -0.006753
[1142/5000][215/535][117774] Loss_D: -0.020998 Loss_G: 0.007794 Loss_D_real: -0.017163 Loss_D_fake 0.003835
[1142/5000][220/535][117775] Loss_D: -0.020341 Loss_G: 0.018457 Loss_D_real: -0.025492 Loss_D_fake -0.005151
[1142/5000][225/535][117776] Loss_D: -0.021555 Loss_G: -0.001511 Loss_D_real: -0.008296 Loss_D_fake 0.013259
[1142/5000][230/535][117777] Loss_D: -0.021179 Loss_G: -0.000045 Loss_D_real: -0.013995 Loss_D_fake 0.007184
[1142/5000][235/535][117778] Loss_D: -0.021523 Loss_G: 0.004381 Loss_D_real: -0.017849 Loss_D_fake 0.003674
[1142/5000][240/535][117779] Loss_D: -0.021316 Loss_G: 0.002893 Loss_D_real: -0.010945 Loss_D_fake 0.010371
[1142/5000][245/535][117780] Loss_D: -0.021573 Loss_G: 0.008193 Loss_D_real: -0.013010 Loss_D_fake 0.008563
[1142/5000][250/535][117781] Loss_D: -0.020002 Loss_G: 0.017301 Loss_D_real: -0.024509 Loss_D_fake -0.004507
[1142/5000][255/535][117782] Loss_D: -0.022054 Loss_G: 0.009362 Loss_D_real: -0.023924 Loss_D_fake -0.001869
[1142/5000][260/535][117783] Loss_D: -0.019792 Loss_G: 0.017085 Loss_D_real: -0.026411 Loss_D_fake -0.006619
[1142/5000][265/535][117784] Loss_D: -0.019944 Loss_G: -0.001263 Loss_D_real: -0.007987 Loss_D_fake 0.011957
[1142/5000][270/535][117785] Loss_D: -0.020826 Loss_G: -0.001648 Loss_D_real: -0.012230 Loss_D_fake 0.008596
[1142/5000][275/535][117786] Loss_D: -0.022234 Loss_G: 0.006767 Loss_D_real: -0.016947 Loss_D_fake 0.005288
[1142/5000][280/535][117787] Loss_D: -0.019916 Loss_G: 0.008249 Loss_D_real: -0.016337 Loss_D_fake 0.003578
[1142/5000][285/535][117788] Loss_D: -0.020879 Loss_G: 0.019979 Loss_D_real: -0.030729 Loss_D_fake -0.009850
[1142/5000][290/535][117789] Loss_D: -0.021895 Loss_G: -0.000137 Loss_D_real: -0.029132 Loss_D_fake -0.007237
[1142/5000][295/535][117790] Loss_D: -0.021583 Loss_G: -0.002642 Loss_D_real: -0.024845 Loss_D_fake -0.003262
[1142/5000][300/535][117791] Loss_D: -0.021189 Loss_G: 0.004721 Loss_D_real: -0.011848 Loss_D_fake 0.009341
[1142/5000][305/535][117792] Loss_D: -0.021096 Loss_G: 0.034664 Loss_D_real: -0.021888 Loss_D_fake -0.000792
[1142/5000][310/535][117793] Loss_D: -0.021146 Loss_G: 0.007277 Loss_D_real: -0.018051 Loss_D_fake 0.003095
[1142/5000][315/535][117794] Loss_D: -0.021432 Loss_G: 0.008226 Loss_D_real: -0.019482 Loss_D_fake 0.001950
[1142/5000][320/535][117795] Loss_D: -0.021934 Loss_G: -0.012237 Loss_D_real: -0.006750 Loss_D_fake 0.015184
[1142/5000][325/535][117796] Loss_D: -0.021925 Loss_G: 0.003713 Loss_D_real: -0.013402 Loss_D_fake 0.008523
[1142/5000][330/535][117797] Loss_D: -0.019340 Loss_G: 0.021714 Loss_D_real: -0.038004 Loss_D_fake -0.018664
[1142/5000][335/535][117798] Loss_D: -0.020900 Loss_G: 0.011505 Loss_D_real: -0.023416 Loss_D_fake -0.002516
[1142/5000][340/535][117799] Loss_D: -0.021657 Loss_G: 0.009423 Loss_D_real: -0.012081 Loss_D_fake 0.009576
[1142/5000][345/535][117800] Loss_D: -0.021250 Loss_G: -0.002371 Loss_D_real: -0.005426 Loss_D_fake 0.015823
[1142/5000][350/535][117801] Loss_D: -0.020142 Loss_G: -0.010983 Loss_D_real: -0.014418 Loss_D_fake 0.005724
[1142/5000][355/535][117802] Loss_D: -0.021592 Loss_G: -0.000999 Loss_D_real: -0.006446 Loss_D_fake 0.015146
[1142/5000][360/535][117803] Loss_D: -0.020739 Loss_G: 0.005364 Loss_D_real: -0.020317 Loss_D_fake 0.000422
[1142/5000][365/535][117804] Loss_D: -0.021086 Loss_G: 0.005263 Loss_D_real: -0.026814 Loss_D_fake -0.005728
[1142/5000][370/535][117805] Loss_D: -0.021507 Loss_G: 0.014843 Loss_D_real: -0.005202 Loss_D_fake 0.016305
[1142/5000][375/535][117806] Loss_D: -0.019886 Loss_G: 0.020125 Loss_D_real: -0.037438 Loss_D_fake -0.017552
[1142/5000][380/535][117807] Loss_D: -0.021570 Loss_G: -0.006274 Loss_D_real: -0.005110 Loss_D_fake 0.016460
[1142/5000][385/535][117808] Loss_D: -0.020953 Loss_G: 0.015977 Loss_D_real: -0.018846 Loss_D_fake 0.002107
[1142/5000][390/535][117809] Loss_D: -0.021993 Loss_G: -0.001841 Loss_D_real: -0.016154 Loss_D_fake 0.005839
[1142/5000][395/535][117810] Loss_D: -0.020162 Loss_G: -0.010422 Loss_D_real: -0.003513 Loss_D_fake 0.016649
[1142/5000][400/535][117811] Loss_D: -0.020302 Loss_G: 0.027142 Loss_D_real: -0.035431 Loss_D_fake -0.015129
[1142/5000][405/535][117812] Loss_D: -0.020670 Loss_G: 0.012469 Loss_D_real: -0.030022 Loss_D_fake -0.009351
[1142/5000][410/535][117813] Loss_D: -0.021922 Loss_G: 0.006374 Loss_D_real: -0.035049 Loss_D_fake -0.013128
[1142/5000][415/535][117814] Loss_D: -0.020894 Loss_G: 0.000433 Loss_D_real: -0.003937 Loss_D_fake 0.016957
[1142/5000][420/535][117815] Loss_D: -0.020825 Loss_G: 0.024214 Loss_D_real: -0.033171 Loss_D_fake -0.012346
[1142/5000][425/535][117816] Loss_D: -0.021890 Loss_G: 0.005738 Loss_D_real: -0.019672 Loss_D_fake 0.002218
[1142/5000][430/535][117817] Loss_D: -0.020626 Loss_G: -0.003392 Loss_D_real: -0.005571 Loss_D_fake 0.015055
[1142/5000][435/535][117818] Loss_D: -0.021743 Loss_G: 0.002101 Loss_D_real: -0.021769 Loss_D_fake -0.000026
[1142/5000][440/535][117819] Loss_D: -0.021047 Loss_G: 0.005013 Loss_D_real: -0.023727 Loss_D_fake -0.002680
[1142/5000][445/535][117820] Loss_D: -0.021321 Loss_G: 0.004343 Loss_D_real: -0.011144 Loss_D_fake 0.010177
[1142/5000][450/535][117821] Loss_D: -0.021451 Loss_G: 0.010710 Loss_D_real: -0.013367 Loss_D_fake 0.008084
[1142/5000][455/535][117822] Loss_D: -0.021983 Loss_G: 0.004482 Loss_D_real: -0.008802 Loss_D_fake 0.013180
[1142/5000][460/535][117823] Loss_D: -0.019482 Loss_G: 0.009643 Loss_D_real: -0.018586 Loss_D_fake 0.000896
[1142/5000][465/535][117824] Loss_D: -0.020834 Loss_G: 0.000921 Loss_D_real: -0.012162 Loss_D_fake 0.008672
[1142/5000][470/535][117825] Loss_D: -0.023388 Loss_G: 0.003358 Loss_D_real: -0.008793 Loss_D_fake 0.014594
[1142/5000][475/535][117826] Loss_D: -0.020372 Loss_G: -0.006123 Loss_D_real: -0.005823 Loss_D_fake 0.014549
[1142/5000][480/535][117827] Loss_D: -0.018759 Loss_G: -0.018234 Loss_D_real: 0.004188 Loss_D_fake 0.022946
[1142/5000][485/535][117828] Loss_D: -0.020237 Loss_G: 0.020524 Loss_D_real: -0.020275 Loss_D_fake -0.000037
[1142/5000][490/535][117829] Loss_D: -0.019534 Loss_G: 0.021391 Loss_D_real: -0.027550 Loss_D_fake -0.008015
[1142/5000][495/535][117830] Loss_D: -0.021390 Loss_G: 0.023220 Loss_D_real: -0.021036 Loss_D_fake 0.000354
[1142/5000][500/535][117831] Loss_D: -0.021158 Loss_G: -0.002060 Loss_D_real: -0.019232 Loss_D_fake 0.001926
[1142/5000][505/535][117832] Loss_D: -0.020688 Loss_G: 0.003895 Loss_D_real: -0.015110 Loss_D_fake 0.005578
[1142/5000][510/535][117833] Loss_D: -0.019225 Loss_G: -0.015577 Loss_D_real: -0.001919 Loss_D_fake 0.017306
[1142/5000][515/535][117834] Loss_D: -0.019837 Loss_G: 0.027424 Loss_D_real: -0.027452 Loss_D_fake -0.007615
[1142/5000][520/535][117835] Loss_D: -0.020649 Loss_G: -0.005074 Loss_D_real: -0.011448 Loss_D_fake 0.009201
[1142/5000][525/535][117836] Loss_D: -0.021932 Loss_G: 0.018030 Loss_D_real: -0.011126 Loss_D_fake 0.010807
[1142/5000][530/535][117837] Loss_D: -0.022283 Loss_G: 0.008528 Loss_D_real: -0.024199 Loss_D_fake -0.001916
[1142/5000][535/535][117838] Loss_D: -0.019580 Loss_G: -0.009745 Loss_D_real: -0.001588 Loss_D_fake 0.017991
[1143/5000][5/535][117839] Loss_D: -0.021011 Loss_G: -0.000570 Loss_D_real: -0.011321 Loss_D_fake 0.009690
[1143/5000][10/535][117840] Loss_D: -0.019206 Loss_G: 0.028888 Loss_D_real: -0.026676 Loss_D_fake -0.007470
[1143/5000][15/535][117841] Loss_D: -0.021934 Loss_G: 0.005480 Loss_D_real: -0.013516 Loss_D_fake 0.008418
[1143/5000][20/535][117842] Loss_D: -0.020948 Loss_G: 0.004799 Loss_D_real: -0.018676 Loss_D_fake 0.002272
[1143/5000][25/535][117843] Loss_D: -0.020786 Loss_G: 0.011387 Loss_D_real: -0.021521 Loss_D_fake -0.000735
[1143/5000][30/535][117844] Loss_D: -0.020821 Loss_G: 0.003602 Loss_D_real: -0.014915 Loss_D_fake 0.005906
[1143/5000][35/535][117845] Loss_D: -0.022230 Loss_G: -0.006335 Loss_D_real: -0.002741 Loss_D_fake 0.019488
[1143/5000][40/535][117846] Loss_D: -0.021088 Loss_G: 0.021941 Loss_D_real: -0.020733 Loss_D_fake 0.000355
[1143/5000][45/535][117847] Loss_D: -0.021467 Loss_G: 0.016366 Loss_D_real: -0.012069 Loss_D_fake 0.009398
[1143/5000][50/535][117848] Loss_D: -0.019214 Loss_G: 0.012947 Loss_D_real: -0.031860 Loss_D_fake -0.012646
[1143/5000][55/535][117849] Loss_D: -0.019815 Loss_G: 0.008598 Loss_D_real: -0.019943 Loss_D_fake -0.000128
[1143/5000][60/535][117850] Loss_D: -0.021378 Loss_G: 0.002356 Loss_D_real: -0.016596 Loss_D_fake 0.004782
[1143/5000][65/535][117851] Loss_D: -0.019437 Loss_G: -0.015452 Loss_D_real: 0.010294 Loss_D_fake 0.029731
[1143/5000][70/535][117852] Loss_D: -0.020690 Loss_G: 0.001267 Loss_D_real: -0.008179 Loss_D_fake 0.012511
[1143/5000][75/535][117853] Loss_D: -0.020414 Loss_G: 0.005691 Loss_D_real: -0.034680 Loss_D_fake -0.014266
[1143/5000][80/535][117854] Loss_D: -0.020590 Loss_G: 0.010304 Loss_D_real: -0.012527 Loss_D_fake 0.008063
[1143/5000][85/535][117855] Loss_D: -0.020053 Loss_G: -0.006490 Loss_D_real: -0.002930 Loss_D_fake 0.017123
[1143/5000][90/535][117856] Loss_D: -0.019900 Loss_G: 0.010735 Loss_D_real: -0.029805 Loss_D_fake -0.009905
[1143/5000][95/535][117857] Loss_D: -0.021376 Loss_G: -0.008224 Loss_D_real: -0.003407 Loss_D_fake 0.017969
[1143/5000][100/535][117858] Loss_D: -0.021204 Loss_G: 0.015722 Loss_D_real: -0.014959 Loss_D_fake 0.006244
[1143/5000][105/535][117859] Loss_D: -0.022686 Loss_G: 0.003678 Loss_D_real: -0.008559 Loss_D_fake 0.014127
[1143/5000][110/535][117860] Loss_D: -0.020502 Loss_G: -0.002891 Loss_D_real: -0.001482 Loss_D_fake 0.019020
[1143/5000][115/535][117861] Loss_D: -0.019567 Loss_G: 0.016306 Loss_D_real: -0.027144 Loss_D_fake -0.007577
[1143/5000][120/535][117862] Loss_D: -0.022147 Loss_G: 0.003844 Loss_D_real: -0.011398 Loss_D_fake 0.010749
[1143/5000][125/535][117863] Loss_D: -0.021295 Loss_G: 0.000697 Loss_D_real: -0.014495 Loss_D_fake 0.006800
[1143/5000][130/535][117864] Loss_D: -0.020711 Loss_G: 0.013966 Loss_D_real: -0.026461 Loss_D_fake -0.005750
[1143/5000][135/535][117865] Loss_D: -0.020333 Loss_G: 0.008329 Loss_D_real: -0.026440 Loss_D_fake -0.006107
[1143/5000][140/535][117866] Loss_D: -0.022178 Loss_G: 0.018701 Loss_D_real: -0.021199 Loss_D_fake 0.000979
[1143/5000][145/535][117867] Loss_D: -0.021887 Loss_G: -0.003584 Loss_D_real: -0.016454 Loss_D_fake 0.005432
[1143/5000][150/535][117868] Loss_D: -0.022425 Loss_G: 0.013871 Loss_D_real: -0.011094 Loss_D_fake 0.011331
[1143/5000][155/535][117869] Loss_D: -0.020674 Loss_G: -0.000236 Loss_D_real: -0.020464 Loss_D_fake 0.000210
[1143/5000][160/535][117870] Loss_D: -0.020196 Loss_G: 0.012596 Loss_D_real: -0.028192 Loss_D_fake -0.007996
[1143/5000][165/535][117871] Loss_D: -0.020545 Loss_G: -0.014513 Loss_D_real: -0.004287 Loss_D_fake 0.016258
[1143/5000][170/535][117872] Loss_D: -0.021135 Loss_G: -0.006393 Loss_D_real: -0.004099 Loss_D_fake 0.017035
[1143/5000][175/535][117873] Loss_D: -0.020748 Loss_G: -0.007004 Loss_D_real: -0.008013 Loss_D_fake 0.012736
[1143/5000][180/535][117874] Loss_D: -0.021620 Loss_G: 0.024737 Loss_D_real: -0.033885 Loss_D_fake -0.012265
[1143/5000][185/535][117875] Loss_D: -0.021266 Loss_G: 0.010831 Loss_D_real: -0.020219 Loss_D_fake 0.001047
[1143/5000][190/535][117876] Loss_D: -0.020327 Loss_G: 0.012374 Loss_D_real: -0.024762 Loss_D_fake -0.004436
[1143/5000][195/535][117877] Loss_D: -0.020142 Loss_G: 0.015390 Loss_D_real: -0.014576 Loss_D_fake 0.005566
[1143/5000][200/535][117878] Loss_D: -0.020196 Loss_G: -0.008846 Loss_D_real: -0.012849 Loss_D_fake 0.007348
[1143/5000][205/535][117879] Loss_D: -0.021918 Loss_G: 0.002116 Loss_D_real: -0.018415 Loss_D_fake 0.003503
[1143/5000][210/535][117880] Loss_D: -0.021520 Loss_G: 0.006270 Loss_D_real: -0.002702 Loss_D_fake 0.018818
[1143/5000][215/535][117881] Loss_D: -0.021801 Loss_G: 0.000094 Loss_D_real: -0.014693 Loss_D_fake 0.007108
[1143/5000][220/535][117882] Loss_D: -0.021346 Loss_G: 0.010047 Loss_D_real: -0.019451 Loss_D_fake 0.001895
[1143/5000][225/535][117883] Loss_D: -0.020560 Loss_G: 0.005881 Loss_D_real: -0.021772 Loss_D_fake -0.001212
[1143/5000][230/535][117884] Loss_D: -0.021780 Loss_G: 0.020772 Loss_D_real: -0.026187 Loss_D_fake -0.004407
[1143/5000][235/535][117885] Loss_D: -0.021076 Loss_G: -0.009167 Loss_D_real: -0.018848 Loss_D_fake 0.002228
[1143/5000][240/535][117886] Loss_D: -0.020490 Loss_G: -0.003119 Loss_D_real: -0.005412 Loss_D_fake 0.015078
[1143/5000][245/535][117887] Loss_D: -0.020795 Loss_G: 0.003304 Loss_D_real: -0.007471 Loss_D_fake 0.013325
[1143/5000][250/535][117888] Loss_D: -0.020152 Loss_G: 0.002353 Loss_D_real: -0.014504 Loss_D_fake 0.005647
[1143/5000][255/535][117889] Loss_D: -0.020679 Loss_G: 0.007352 Loss_D_real: -0.016135 Loss_D_fake 0.004544
[1143/5000][260/535][117890] Loss_D: -0.020817 Loss_G: 0.018986 Loss_D_real: -0.025066 Loss_D_fake -0.004250
[1143/5000][265/535][117891] Loss_D: -0.019456 Loss_G: -0.008876 Loss_D_real: -0.012470 Loss_D_fake 0.006986
[1143/5000][270/535][117892] Loss_D: -0.019173 Loss_G: -0.007616 Loss_D_real: -0.005647 Loss_D_fake 0.013526
[1143/5000][275/535][117893] Loss_D: -0.019249 Loss_G: 0.007195 Loss_D_real: -0.020853 Loss_D_fake -0.001603
[1143/5000][280/535][117894] Loss_D: -0.019420 Loss_G: 0.029746 Loss_D_real: -0.037456 Loss_D_fake -0.018035
[1143/5000][285/535][117895] Loss_D: -0.021576 Loss_G: -0.005044 Loss_D_real: 0.000071 Loss_D_fake 0.021647
[1143/5000][290/535][117896] Loss_D: -0.020980 Loss_G: 0.001599 Loss_D_real: -0.030501 Loss_D_fake -0.009522
[1143/5000][295/535][117897] Loss_D: -0.021314 Loss_G: 0.020398 Loss_D_real: -0.019812 Loss_D_fake 0.001502
[1143/5000][300/535][117898] Loss_D: -0.022037 Loss_G: -0.000118 Loss_D_real: -0.017180 Loss_D_fake 0.004857
[1143/5000][305/535][117899] Loss_D: -0.021164 Loss_G: 0.017494 Loss_D_real: -0.022369 Loss_D_fake -0.001206
[1143/5000][310/535][117900] Loss_D: -0.021779 Loss_G: -0.010591 Loss_D_real: -0.007911 Loss_D_fake 0.013869
[1143/5000][315/535][117901] Loss_D: -0.020793 Loss_G: 0.017362 Loss_D_real: -0.025716 Loss_D_fake -0.004923
[1143/5000][320/535][117902] Loss_D: -0.020942 Loss_G: 0.002172 Loss_D_real: -0.019589 Loss_D_fake 0.001353
[1143/5000][325/535][117903] Loss_D: -0.021253 Loss_G: 0.021562 Loss_D_real: -0.021903 Loss_D_fake -0.000650
[1143/5000][330/535][117904] Loss_D: -0.022433 Loss_G: -0.002924 Loss_D_real: -0.027190 Loss_D_fake -0.004757
[1143/5000][335/535][117905] Loss_D: -0.021994 Loss_G: 0.017624 Loss_D_real: -0.008830 Loss_D_fake 0.013164
[1143/5000][340/535][117906] Loss_D: -0.021580 Loss_G: 0.019835 Loss_D_real: -0.024161 Loss_D_fake -0.002581
[1143/5000][345/535][117907] Loss_D: -0.021516 Loss_G: 0.013605 Loss_D_real: -0.022675 Loss_D_fake -0.001159
[1143/5000][350/535][117908] Loss_D: -0.021021 Loss_G: -0.024065 Loss_D_real: 0.001455 Loss_D_fake 0.022476
[1143/5000][355/535][117909] Loss_D: -0.019912 Loss_G: 0.000480 Loss_D_real: -0.018019 Loss_D_fake 0.001893
[1143/5000][360/535][117910] Loss_D: -0.020732 Loss_G: 0.000418 Loss_D_real: -0.019610 Loss_D_fake 0.001122
[1143/5000][365/535][117911] Loss_D: -0.021423 Loss_G: 0.014605 Loss_D_real: -0.022555 Loss_D_fake -0.001132
[1143/5000][370/535][117912] Loss_D: -0.020420 Loss_G: 0.016547 Loss_D_real: -0.031261 Loss_D_fake -0.010841
[1143/5000][375/535][117913] Loss_D: -0.020568 Loss_G: 0.018128 Loss_D_real: -0.022223 Loss_D_fake -0.001656
[1143/5000][380/535][117914] Loss_D: -0.020496 Loss_G: 0.003630 Loss_D_real: -0.026686 Loss_D_fake -0.006190
[1143/5000][385/535][117915] Loss_D: -0.019897 Loss_G: 0.001845 Loss_D_real: -0.025752 Loss_D_fake -0.005855
[1143/5000][390/535][117916] Loss_D: -0.021926 Loss_G: 0.014902 Loss_D_real: -0.009515 Loss_D_fake 0.012411
[1143/5000][395/535][117917] Loss_D: -0.021399 Loss_G: 0.001570 Loss_D_real: -0.011150 Loss_D_fake 0.010249
[1143/5000][400/535][117918] Loss_D: -0.021467 Loss_G: 0.011429 Loss_D_real: -0.024674 Loss_D_fake -0.003207
[1143/5000][405/535][117919] Loss_D: -0.019841 Loss_G: 0.029373 Loss_D_real: -0.035672 Loss_D_fake -0.015831
[1143/5000][410/535][117920] Loss_D: -0.022202 Loss_G: -0.004598 Loss_D_real: -0.018018 Loss_D_fake 0.004184
[1143/5000][415/535][117921] Loss_D: -0.021805 Loss_G: -0.000514 Loss_D_real: -0.016631 Loss_D_fake 0.005174
[1143/5000][420/535][117922] Loss_D: -0.020235 Loss_G: 0.021243 Loss_D_real: -0.030861 Loss_D_fake -0.010627
[1143/5000][425/535][117923] Loss_D: -0.021566 Loss_G: -0.001771 Loss_D_real: -0.018711 Loss_D_fake 0.002855
[1143/5000][430/535][117924] Loss_D: -0.019709 Loss_G: 0.021569 Loss_D_real: -0.025817 Loss_D_fake -0.006109
[1143/5000][435/535][117925] Loss_D: -0.020625 Loss_G: 0.005041 Loss_D_real: -0.007786 Loss_D_fake 0.012839
[1143/5000][440/535][117926] Loss_D: -0.019499 Loss_G: 0.024901 Loss_D_real: -0.029053 Loss_D_fake -0.009553
[1143/5000][445/535][117927] Loss_D: -0.020816 Loss_G: 0.015606 Loss_D_real: -0.022869 Loss_D_fake -0.002053
[1143/5000][450/535][117928] Loss_D: -0.020621 Loss_G: -0.001595 Loss_D_real: -0.013653 Loss_D_fake 0.006968
[1143/5000][455/535][117929] Loss_D: -0.019998 Loss_G: 0.001605 Loss_D_real: -0.015191 Loss_D_fake 0.004807
[1143/5000][460/535][117930] Loss_D: -0.021606 Loss_G: 0.003365 Loss_D_real: -0.025603 Loss_D_fake -0.003997
[1143/5000][465/535][117931] Loss_D: -0.021011 Loss_G: 0.009758 Loss_D_real: -0.024208 Loss_D_fake -0.003196
[1143/5000][470/535][117932] Loss_D: -0.021290 Loss_G: 0.009434 Loss_D_real: -0.008236 Loss_D_fake 0.013055
[1143/5000][475/535][117933] Loss_D: -0.022428 Loss_G: -0.000268 Loss_D_real: -0.021951 Loss_D_fake 0.000478
[1143/5000][480/535][117934] Loss_D: -0.021540 Loss_G: 0.014543 Loss_D_real: -0.011945 Loss_D_fake 0.009595
[1143/5000][485/535][117935] Loss_D: -0.021183 Loss_G: -0.000667 Loss_D_real: -0.013385 Loss_D_fake 0.007798
[1143/5000][490/535][117936] Loss_D: -0.018734 Loss_G: 0.008484 Loss_D_real: -0.012333 Loss_D_fake 0.006401
[1143/5000][495/535][117937] Loss_D: -0.021026 Loss_G: 0.030350 Loss_D_real: -0.025593 Loss_D_fake -0.004567
[1143/5000][500/535][117938] Loss_D: -0.022057 Loss_G: -0.010628 Loss_D_real: -0.015356 Loss_D_fake 0.006701
[1143/5000][505/535][117939] Loss_D: -0.020225 Loss_G: -0.002327 Loss_D_real: -0.014158 Loss_D_fake 0.006067
[1143/5000][510/535][117940] Loss_D: -0.021063 Loss_G: -0.011304 Loss_D_real: -0.006274 Loss_D_fake 0.014789
[1143/5000][515/535][117941] Loss_D: -0.020814 Loss_G: 0.008101 Loss_D_real: -0.010696 Loss_D_fake 0.010118
[1143/5000][520/535][117942] Loss_D: -0.020890 Loss_G: 0.011581 Loss_D_real: -0.022707 Loss_D_fake -0.001817
[1143/5000][525/535][117943] Loss_D: -0.019121 Loss_G: 0.017975 Loss_D_real: -0.032164 Loss_D_fake -0.013043
[1143/5000][530/535][117944] Loss_D: -0.020599 Loss_G: 0.019650 Loss_D_real: -0.021373 Loss_D_fake -0.000773
[1143/5000][535/535][117945] Loss_D: -0.016984 Loss_G: -0.017372 Loss_D_real: -0.003533 Loss_D_fake 0.013451
[1144/5000][5/535][117946] Loss_D: -0.022861 Loss_G: 0.022329 Loss_D_real: -0.021073 Loss_D_fake 0.001787
[1144/5000][10/535][117947] Loss_D: -0.020808 Loss_G: -0.009857 Loss_D_real: -0.017376 Loss_D_fake 0.003432
[1144/5000][15/535][117948] Loss_D: -0.021209 Loss_G: 0.013056 Loss_D_real: -0.019551 Loss_D_fake 0.001658
[1144/5000][20/535][117949] Loss_D: -0.020205 Loss_G: 0.016127 Loss_D_real: -0.017016 Loss_D_fake 0.003188
[1144/5000][25/535][117950] Loss_D: -0.021112 Loss_G: 0.001857 Loss_D_real: -0.014882 Loss_D_fake 0.006230
[1144/5000][30/535][117951] Loss_D: -0.019401 Loss_G: 0.006992 Loss_D_real: -0.006706 Loss_D_fake 0.012695
[1144/5000][35/535][117952] Loss_D: -0.020886 Loss_G: 0.006085 Loss_D_real: -0.019715 Loss_D_fake 0.001171
[1144/5000][40/535][117953] Loss_D: -0.020300 Loss_G: -0.000647 Loss_D_real: -0.016315 Loss_D_fake 0.003985
[1144/5000][45/535][117954] Loss_D: -0.020754 Loss_G: -0.007352 Loss_D_real: -0.003623 Loss_D_fake 0.017131
[1144/5000][50/535][117955] Loss_D: -0.021546 Loss_G: 0.008888 Loss_D_real: -0.011991 Loss_D_fake 0.009555
[1144/5000][55/535][117956] Loss_D: -0.020873 Loss_G: 0.010048 Loss_D_real: -0.019971 Loss_D_fake 0.000902
[1144/5000][60/535][117957] Loss_D: -0.019808 Loss_G: 0.006639 Loss_D_real: -0.022902 Loss_D_fake -0.003094
[1144/5000][65/535][117958] Loss_D: -0.020782 Loss_G: 0.024263 Loss_D_real: -0.025098 Loss_D_fake -0.004317
[1144/5000][70/535][117959] Loss_D: -0.019955 Loss_G: 0.007020 Loss_D_real: -0.011602 Loss_D_fake 0.008353
[1144/5000][75/535][117960] Loss_D: -0.020688 Loss_G: 0.008049 Loss_D_real: -0.017580 Loss_D_fake 0.003108
[1144/5000][80/535][117961] Loss_D: -0.021465 Loss_G: 0.013299 Loss_D_real: -0.019242 Loss_D_fake 0.002223
[1144/5000][85/535][117962] Loss_D: -0.021180 Loss_G: 0.006898 Loss_D_real: -0.029870 Loss_D_fake -0.008690
[1144/5000][90/535][117963] Loss_D: -0.019389 Loss_G: -0.002330 Loss_D_real: -0.011258 Loss_D_fake 0.008131
[1144/5000][95/535][117964] Loss_D: -0.021877 Loss_G: -0.000451 Loss_D_real: -0.004003 Loss_D_fake 0.017874
[1144/5000][100/535][117965] Loss_D: -0.022050 Loss_G: -0.004133 Loss_D_real: -0.015171 Loss_D_fake 0.006878
[1144/5000][105/535][117966] Loss_D: -0.022675 Loss_G: 0.001668 Loss_D_real: -0.020466 Loss_D_fake 0.002208
[1144/5000][110/535][117967] Loss_D: -0.021719 Loss_G: 0.012475 Loss_D_real: -0.028477 Loss_D_fake -0.006757
[1144/5000][115/535][117968] Loss_D: -0.022293 Loss_G: 0.011281 Loss_D_real: -0.024313 Loss_D_fake -0.002020
[1144/5000][120/535][117969] Loss_D: -0.022662 Loss_G: -0.003342 Loss_D_real: -0.007807 Loss_D_fake 0.014855
[1144/5000][125/535][117970] Loss_D: -0.021140 Loss_G: 0.033354 Loss_D_real: -0.038315 Loss_D_fake -0.017175
[1144/5000][130/535][117971] Loss_D: -0.022091 Loss_G: -0.000296 Loss_D_real: -0.006757 Loss_D_fake 0.015334
[1144/5000][135/535][117972] Loss_D: -0.021345 Loss_G: -0.013565 Loss_D_real: -0.007549 Loss_D_fake 0.013796
[1144/5000][140/535][117973] Loss_D: -0.021643 Loss_G: 0.013553 Loss_D_real: -0.020255 Loss_D_fake 0.001388
[1144/5000][145/535][117974] Loss_D: -0.021087 Loss_G: 0.005704 Loss_D_real: -0.024100 Loss_D_fake -0.003013
[1144/5000][150/535][117975] Loss_D: -0.022518 Loss_G: 0.002246 Loss_D_real: -0.005562 Loss_D_fake 0.016956
[1144/5000][155/535][117976] Loss_D: -0.021398 Loss_G: -0.008187 Loss_D_real: -0.006663 Loss_D_fake 0.014735
[1144/5000][160/535][117977] Loss_D: -0.020229 Loss_G: 0.009490 Loss_D_real: -0.025040 Loss_D_fake -0.004812
[1144/5000][165/535][117978] Loss_D: -0.020051 Loss_G: 0.016976 Loss_D_real: -0.026370 Loss_D_fake -0.006319
[1144/5000][170/535][117979] Loss_D: -0.020882 Loss_G: 0.003586 Loss_D_real: -0.029142 Loss_D_fake -0.008260
[1144/5000][175/535][117980] Loss_D: -0.020294 Loss_G: -0.008762 Loss_D_real: -0.019328 Loss_D_fake 0.000966
[1144/5000][180/535][117981] Loss_D: -0.020401 Loss_G: 0.024368 Loss_D_real: -0.027942 Loss_D_fake -0.007541
[1144/5000][185/535][117982] Loss_D: -0.021360 Loss_G: 0.000163 Loss_D_real: -0.002206 Loss_D_fake 0.019154
[1144/5000][190/535][117983] Loss_D: -0.020801 Loss_G: 0.015572 Loss_D_real: -0.015693 Loss_D_fake 0.005108
[1144/5000][195/535][117984] Loss_D: -0.021757 Loss_G: -0.003301 Loss_D_real: -0.006408 Loss_D_fake 0.015349
[1144/5000][200/535][117985] Loss_D: -0.022255 Loss_G: 0.031392 Loss_D_real: -0.028719 Loss_D_fake -0.006464
[1144/5000][205/535][117986] Loss_D: -0.021209 Loss_G: 0.008912 Loss_D_real: -0.021073 Loss_D_fake 0.000136
[1144/5000][210/535][117987] Loss_D: -0.021557 Loss_G: -0.006478 Loss_D_real: -0.013440 Loss_D_fake 0.008117
[1144/5000][215/535][117988] Loss_D: -0.020944 Loss_G: -0.000450 Loss_D_real: -0.010693 Loss_D_fake 0.010251
[1144/5000][220/535][117989] Loss_D: -0.022027 Loss_G: 0.014817 Loss_D_real: -0.023276 Loss_D_fake -0.001249
[1144/5000][225/535][117990] Loss_D: -0.020595 Loss_G: 0.006266 Loss_D_real: -0.010038 Loss_D_fake 0.010557
[1144/5000][230/535][117991] Loss_D: -0.020218 Loss_G: 0.027098 Loss_D_real: -0.030955 Loss_D_fake -0.010737
[1144/5000][235/535][117992] Loss_D: -0.021758 Loss_G: -0.000712 Loss_D_real: -0.013680 Loss_D_fake 0.008078
[1144/5000][240/535][117993] Loss_D: -0.021190 Loss_G: -0.007822 Loss_D_real: -0.015505 Loss_D_fake 0.005685
[1144/5000][245/535][117994] Loss_D: -0.020854 Loss_G: 0.008296 Loss_D_real: -0.021499 Loss_D_fake -0.000646
[1144/5000][250/535][117995] Loss_D: -0.020557 Loss_G: 0.024301 Loss_D_real: -0.033361 Loss_D_fake -0.012804
[1144/5000][255/535][117996] Loss_D: -0.018434 Loss_G: -0.021040 Loss_D_real: 0.003555 Loss_D_fake 0.021989
[1144/5000][260/535][117997] Loss_D: -0.020929 Loss_G: 0.005186 Loss_D_real: -0.010992 Loss_D_fake 0.009937
[1144/5000][265/535][117998] Loss_D: -0.019750 Loss_G: 0.022889 Loss_D_real: -0.021048 Loss_D_fake -0.001298
[1144/5000][270/535][117999] Loss_D: -0.020596 Loss_G: 0.013572 Loss_D_real: -0.010964 Loss_D_fake 0.009632
[1144/5000][275/535][118000] Loss_D: -0.021342 Loss_G: 0.004418 Loss_D_real: -0.017923 Loss_D_fake 0.003419
[1144/5000][375/535][118001] Loss_D: -0.024396 Loss_G: 0.018384 Loss_D_real: -0.028064 Loss_D_fake -0.003669
[1144/5000][380/535][118002] Loss_D: -0.020367 Loss_G: 0.015911 Loss_D_real: -0.008320 Loss_D_fake 0.012047
[1144/5000][385/535][118003] Loss_D: -0.018736 Loss_G: 0.018095 Loss_D_real: -0.025345 Loss_D_fake -0.006609
[1144/5000][390/535][118004] Loss_D: -0.020751 Loss_G: -0.012353 Loss_D_real: -0.005000 Loss_D_fake 0.015751
[1144/5000][395/535][118005] Loss_D: -0.020692 Loss_G: 0.023709 Loss_D_real: -0.020674 Loss_D_fake 0.000017
[1144/5000][400/535][118006] Loss_D: -0.020487 Loss_G: 0.008939 Loss_D_real: -0.016760 Loss_D_fake 0.003727
[1144/5000][405/535][118007] Loss_D: -0.019809 Loss_G: -0.003832 Loss_D_real: -0.008165 Loss_D_fake 0.011644
[1144/5000][410/535][118008] Loss_D: -0.020392 Loss_G: 0.006730 Loss_D_real: -0.025157 Loss_D_fake -0.004766
[1144/5000][415/535][118009] Loss_D: -0.020859 Loss_G: 0.005964 Loss_D_real: -0.020885 Loss_D_fake -0.000026
[1144/5000][420/535][118010] Loss_D: -0.020423 Loss_G: -0.010214 Loss_D_real: -0.014214 Loss_D_fake 0.006210
[1144/5000][425/535][118011] Loss_D: -0.019272 Loss_G: 0.014430 Loss_D_real: -0.037720 Loss_D_fake -0.018449
[1144/5000][430/535][118012] Loss_D: -0.020113 Loss_G: -0.005466 Loss_D_real: -0.021293 Loss_D_fake -0.001180
[1144/5000][435/535][118013] Loss_D: -0.020020 Loss_G: -0.012777 Loss_D_real: -0.008503 Loss_D_fake 0.011518
[1144/5000][440/535][118014] Loss_D: -0.020306 Loss_G: 0.010690 Loss_D_real: -0.024813 Loss_D_fake -0.004507
[1144/5000][445/535][118015] Loss_D: -0.020309 Loss_G: 0.013822 Loss_D_real: -0.027400 Loss_D_fake -0.007091
[1144/5000][450/535][118016] Loss_D: -0.021827 Loss_G: -0.006045 Loss_D_real: -0.012426 Loss_D_fake 0.009401
[1144/5000][455/535][118017] Loss_D: -0.020992 Loss_G: 0.022320 Loss_D_real: -0.023024 Loss_D_fake -0.002031
[1144/5000][460/535][118018] Loss_D: -0.020930 Loss_G: 0.001603 Loss_D_real: -0.019134 Loss_D_fake 0.001796
[1144/5000][465/535][118019] Loss_D: -0.020431 Loss_G: 0.016684 Loss_D_real: -0.026067 Loss_D_fake -0.005636
[1144/5000][470/535][118020] Loss_D: -0.020783 Loss_G: -0.018662 Loss_D_real: 0.005536 Loss_D_fake 0.026319
[1144/5000][475/535][118021] Loss_D: -0.021178 Loss_G: 0.012456 Loss_D_real: -0.021130 Loss_D_fake 0.000048
[1144/5000][480/535][118022] Loss_D: -0.021567 Loss_G: 0.024816 Loss_D_real: -0.020269 Loss_D_fake 0.001298
[1144/5000][485/535][118023] Loss_D: -0.019938 Loss_G: -0.003985 Loss_D_real: -0.015905 Loss_D_fake 0.004033
[1144/5000][490/535][118024] Loss_D: -0.022192 Loss_G: 0.014223 Loss_D_real: -0.013749 Loss_D_fake 0.008443
[1144/5000][495/535][118025] Loss_D: -0.021212 Loss_G: 0.016740 Loss_D_real: -0.028019 Loss_D_fake -0.006807
[1144/5000][500/535][118026] Loss_D: -0.020326 Loss_G: 0.017028 Loss_D_real: -0.030069 Loss_D_fake -0.009743
[1144/5000][505/535][118027] Loss_D: -0.021140 Loss_G: 0.000990 Loss_D_real: -0.017644 Loss_D_fake 0.003496
[1144/5000][510/535][118028] Loss_D: -0.021221 Loss_G: 0.010437 Loss_D_real: -0.036342 Loss_D_fake -0.015121
[1144/5000][515/535][118029] Loss_D: -0.021836 Loss_G: 0.015437 Loss_D_real: -0.021285 Loss_D_fake 0.000550
[1144/5000][520/535][118030] Loss_D: -0.021323 Loss_G: 0.006998 Loss_D_real: -0.017530 Loss_D_fake 0.003793
[1144/5000][525/535][118031] Loss_D: -0.020064 Loss_G: 0.015121 Loss_D_real: -0.023134 Loss_D_fake -0.003070
[1144/5000][530/535][118032] Loss_D: -0.020348 Loss_G: 0.007070 Loss_D_real: -0.009292 Loss_D_fake 0.011056
[1144/5000][535/535][118033] Loss_D: -0.020233 Loss_G: 0.033466 Loss_D_real: -0.016586 Loss_D_fake 0.003647
[1145/5000][5/535][118034] Loss_D: -0.022038 Loss_G: 0.020696 Loss_D_real: -0.026064 Loss_D_fake -0.004026
[1145/5000][10/535][118035] Loss_D: -0.020741 Loss_G: -0.005961 Loss_D_real: -0.015307 Loss_D_fake 0.005434
[1145/5000][15/535][118036] Loss_D: -0.021073 Loss_G: 0.008377 Loss_D_real: -0.026103 Loss_D_fake -0.005030
[1145/5000][20/535][118037] Loss_D: -0.021015 Loss_G: 0.000998 Loss_D_real: -0.012522 Loss_D_fake 0.008493
[1145/5000][25/535][118038] Loss_D: -0.021165 Loss_G: 0.007156 Loss_D_real: -0.019491 Loss_D_fake 0.001674
[1145/5000][30/535][118039] Loss_D: -0.022170 Loss_G: -0.004996 Loss_D_real: -0.016446 Loss_D_fake 0.005724
[1145/5000][35/535][118040] Loss_D: -0.019098 Loss_G: 0.007844 Loss_D_real: -0.030875 Loss_D_fake -0.011777
[1145/5000][40/535][118041] Loss_D: -0.021692 Loss_G: -0.020561 Loss_D_real: -0.016102 Loss_D_fake 0.005590
[1145/5000][45/535][118042] Loss_D: -0.021649 Loss_G: 0.018886 Loss_D_real: -0.021320 Loss_D_fake 0.000329
[1145/5000][50/535][118043] Loss_D: -0.020818 Loss_G: 0.021400 Loss_D_real: -0.022909 Loss_D_fake -0.002092
[1145/5000][55/535][118044] Loss_D: -0.021454 Loss_G: 0.004887 Loss_D_real: -0.019650 Loss_D_fake 0.001803
[1145/5000][60/535][118045] Loss_D: -0.020277 Loss_G: 0.020478 Loss_D_real: -0.026414 Loss_D_fake -0.006137
[1145/5000][65/535][118046] Loss_D: -0.017744 Loss_G: 0.020041 Loss_D_real: -0.033012 Loss_D_fake -0.015268
[1145/5000][70/535][118047] Loss_D: -0.020626 Loss_G: -0.013237 Loss_D_real: -0.001048 Loss_D_fake 0.019578
[1145/5000][75/535][118048] Loss_D: -0.020756 Loss_G: 0.009023 Loss_D_real: -0.017536 Loss_D_fake 0.003220
[1145/5000][80/535][118049] Loss_D: -0.018903 Loss_G: 0.027593 Loss_D_real: -0.034423 Loss_D_fake -0.015520
[1145/5000][85/535][118050] Loss_D: -0.019070 Loss_G: 0.018956 Loss_D_real: -0.031800 Loss_D_fake -0.012730
[1145/5000][90/535][118051] Loss_D: -0.021152 Loss_G: 0.012822 Loss_D_real: -0.013189 Loss_D_fake 0.007963
[1145/5000][95/535][118052] Loss_D: -0.019910 Loss_G: 0.011493 Loss_D_real: -0.029551 Loss_D_fake -0.009641
[1145/5000][100/535][118053] Loss_D: -0.020946 Loss_G: 0.008953 Loss_D_real: -0.022949 Loss_D_fake -0.002004
[1145/5000][105/535][118054] Loss_D: -0.020851 Loss_G: 0.004621 Loss_D_real: -0.027584 Loss_D_fake -0.006732
[1145/5000][110/535][118055] Loss_D: -0.021128 Loss_G: -0.006123 Loss_D_real: -0.006851 Loss_D_fake 0.014277
[1145/5000][115/535][118056] Loss_D: -0.021698 Loss_G: -0.007996 Loss_D_real: -0.001974 Loss_D_fake 0.019724
[1145/5000][120/535][118057] Loss_D: -0.021741 Loss_G: 0.016447 Loss_D_real: -0.023866 Loss_D_fake -0.002125
[1145/5000][125/535][118058] Loss_D: -0.023142 Loss_G: 0.020252 Loss_D_real: -0.013652 Loss_D_fake 0.009491
[1145/5000][130/535][118059] Loss_D: -0.021654 Loss_G: 0.004949 Loss_D_real: -0.008325 Loss_D_fake 0.013329
[1145/5000][135/535][118060] Loss_D: -0.020398 Loss_G: 0.003838 Loss_D_real: -0.018997 Loss_D_fake 0.001401
[1145/5000][140/535][118061] Loss_D: -0.021811 Loss_G: 0.021151 Loss_D_real: -0.013897 Loss_D_fake 0.007914
[1145/5000][145/535][118062] Loss_D: -0.020502 Loss_G: 0.008365 Loss_D_real: -0.012070 Loss_D_fake 0.008432
[1145/5000][150/535][118063] Loss_D: -0.020951 Loss_G: -0.012075 Loss_D_real: -0.002287 Loss_D_fake 0.018664
[1145/5000][155/535][118064] Loss_D: -0.021714 Loss_G: 0.007824 Loss_D_real: -0.014327 Loss_D_fake 0.007387
[1145/5000][160/535][118065] Loss_D: -0.020218 Loss_G: 0.031144 Loss_D_real: -0.018736 Loss_D_fake 0.001482
[1145/5000][165/535][118066] Loss_D: -0.019188 Loss_G: 0.028055 Loss_D_real: -0.031447 Loss_D_fake -0.012259
[1145/5000][170/535][118067] Loss_D: -0.020136 Loss_G: -0.000534 Loss_D_real: -0.012029 Loss_D_fake 0.008107
[1145/5000][175/535][118068] Loss_D: -0.021143 Loss_G: -0.004623 Loss_D_real: -0.012040 Loss_D_fake 0.009103
[1145/5000][180/535][118069] Loss_D: -0.020143 Loss_G: -0.004928 Loss_D_real: -0.015813 Loss_D_fake 0.004331
[1145/5000][185/535][118070] Loss_D: -0.020401 Loss_G: 0.025053 Loss_D_real: -0.032848 Loss_D_fake -0.012447
[1145/5000][190/535][118071] Loss_D: -0.021914 Loss_G: 0.005888 Loss_D_real: -0.010104 Loss_D_fake 0.011810
[1145/5000][195/535][118072] Loss_D: -0.022434 Loss_G: -0.005863 Loss_D_real: -0.013995 Loss_D_fake 0.008439
[1145/5000][200/535][118073] Loss_D: -0.022155 Loss_G: 0.023502 Loss_D_real: -0.021060 Loss_D_fake 0.001095
[1145/5000][205/535][118074] Loss_D: -0.021598 Loss_G: 0.005202 Loss_D_real: -0.024199 Loss_D_fake -0.002601
[1145/5000][210/535][118075] Loss_D: -0.020951 Loss_G: 0.004277 Loss_D_real: -0.011363 Loss_D_fake 0.009588
[1145/5000][215/535][118076] Loss_D: -0.019483 Loss_G: 0.022361 Loss_D_real: -0.032412 Loss_D_fake -0.012929
[1145/5000][220/535][118077] Loss_D: -0.021195 Loss_G: 0.004729 Loss_D_real: -0.020253 Loss_D_fake 0.000942
[1145/5000][225/535][118078] Loss_D: -0.021319 Loss_G: 0.029746 Loss_D_real: -0.022813 Loss_D_fake -0.001494
[1145/5000][230/535][118079] Loss_D: -0.021688 Loss_G: -0.002924 Loss_D_real: -0.009671 Loss_D_fake 0.012017
[1145/5000][235/535][118080] Loss_D: -0.020091 Loss_G: 0.015131 Loss_D_real: -0.034119 Loss_D_fake -0.014028
[1145/5000][240/535][118081] Loss_D: -0.020948 Loss_G: -0.002817 Loss_D_real: -0.009962 Loss_D_fake 0.010986
[1145/5000][245/535][118082] Loss_D: -0.021039 Loss_G: -0.005530 Loss_D_real: -0.003385 Loss_D_fake 0.017654
[1145/5000][250/535][118083] Loss_D: -0.020712 Loss_G: -0.004405 Loss_D_real: -0.010592 Loss_D_fake 0.010120
[1145/5000][255/535][118084] Loss_D: -0.021646 Loss_G: 0.011157 Loss_D_real: -0.014037 Loss_D_fake 0.007610
[1145/5000][260/535][118085] Loss_D: -0.022349 Loss_G: -0.004775 Loss_D_real: -0.005673 Loss_D_fake 0.016676
[1145/5000][265/535][118086] Loss_D: -0.021344 Loss_G: 0.027191 Loss_D_real: -0.023860 Loss_D_fake -0.002516
[1145/5000][270/535][118087] Loss_D: -0.020928 Loss_G: -0.003009 Loss_D_real: -0.008296 Loss_D_fake 0.012632
[1145/5000][275/535][118088] Loss_D: -0.020758 Loss_G: -0.011366 Loss_D_real: -0.010228 Loss_D_fake 0.010530
[1145/5000][280/535][118089] Loss_D: -0.020432 Loss_G: 0.015868 Loss_D_real: -0.026658 Loss_D_fake -0.006226
[1145/5000][285/535][118090] Loss_D: -0.020460 Loss_G: 0.005161 Loss_D_real: -0.017042 Loss_D_fake 0.003418
[1145/5000][290/535][118091] Loss_D: -0.021255 Loss_G: -0.008863 Loss_D_real: 0.000012 Loss_D_fake 0.021267
[1145/5000][295/535][118092] Loss_D: -0.022071 Loss_G: -0.008374 Loss_D_real: -0.005888 Loss_D_fake 0.016183
[1145/5000][300/535][118093] Loss_D: -0.021266 Loss_G: 0.007273 Loss_D_real: -0.019766 Loss_D_fake 0.001500
[1145/5000][305/535][118094] Loss_D: -0.021609 Loss_G: 0.004572 Loss_D_real: -0.014997 Loss_D_fake 0.006612
[1145/5000][310/535][118095] Loss_D: -0.021015 Loss_G: 0.000724 Loss_D_real: -0.010784 Loss_D_fake 0.010231
[1145/5000][315/535][118096] Loss_D: -0.020051 Loss_G: -0.003436 Loss_D_real: -0.007495 Loss_D_fake 0.012556
[1145/5000][320/535][118097] Loss_D: -0.020334 Loss_G: -0.007101 Loss_D_real: 0.002274 Loss_D_fake 0.022607
[1145/5000][325/535][118098] Loss_D: -0.020814 Loss_G: 0.022040 Loss_D_real: -0.023694 Loss_D_fake -0.002880
[1145/5000][330/535][118099] Loss_D: -0.019520 Loss_G: -0.010232 Loss_D_real: -0.008939 Loss_D_fake 0.010581
[1145/5000][335/535][118100] Loss_D: -0.020601 Loss_G: -0.005516 Loss_D_real: -0.012162 Loss_D_fake 0.008439
[1145/5000][340/535][118101] Loss_D: -0.019761 Loss_G: -0.005912 Loss_D_real: 0.002260 Loss_D_fake 0.022021
[1145/5000][345/535][118102] Loss_D: -0.021769 Loss_G: 0.015512 Loss_D_real: -0.025889 Loss_D_fake -0.004120
[1145/5000][350/535][118103] Loss_D: -0.020557 Loss_G: 0.001742 Loss_D_real: -0.027576 Loss_D_fake -0.007019
[1145/5000][355/535][118104] Loss_D: -0.021580 Loss_G: 0.011356 Loss_D_real: -0.008728 Loss_D_fake 0.012852
[1145/5000][360/535][118105] Loss_D: -0.022579 Loss_G: 0.012814 Loss_D_real: -0.018767 Loss_D_fake 0.003813
[1145/5000][365/535][118106] Loss_D: -0.021256 Loss_G: -0.003177 Loss_D_real: -0.010772 Loss_D_fake 0.010484
[1145/5000][370/535][118107] Loss_D: -0.020013 Loss_G: -0.009142 Loss_D_real: -0.014300 Loss_D_fake 0.005713
[1145/5000][375/535][118108] Loss_D: -0.020528 Loss_G: 0.010147 Loss_D_real: -0.015539 Loss_D_fake 0.004989
[1145/5000][380/535][118109] Loss_D: -0.019827 Loss_G: -0.007587 Loss_D_real: 0.006105 Loss_D_fake 0.025931
[1145/5000][385/535][118110] Loss_D: -0.020418 Loss_G: -0.001731 Loss_D_real: -0.023288 Loss_D_fake -0.002871
[1145/5000][390/535][118111] Loss_D: -0.020745 Loss_G: 0.004487 Loss_D_real: -0.009683 Loss_D_fake 0.011062
[1145/5000][395/535][118112] Loss_D: -0.020070 Loss_G: -0.002988 Loss_D_real: -0.003572 Loss_D_fake 0.016497
[1145/5000][400/535][118113] Loss_D: -0.019959 Loss_G: -0.004114 Loss_D_real: -0.003885 Loss_D_fake 0.016074
[1145/5000][405/535][118114] Loss_D: -0.020424 Loss_G: 0.005593 Loss_D_real: -0.022399 Loss_D_fake -0.001975
[1145/5000][410/535][118115] Loss_D: -0.020331 Loss_G: -0.002864 Loss_D_real: -0.013338 Loss_D_fake 0.006993
[1145/5000][415/535][118116] Loss_D: -0.021189 Loss_G: 0.012434 Loss_D_real: -0.017033 Loss_D_fake 0.004156
[1145/5000][420/535][118117] Loss_D: -0.019480 Loss_G: 0.024213 Loss_D_real: -0.027554 Loss_D_fake -0.008074
[1145/5000][425/535][118118] Loss_D: -0.021620 Loss_G: 0.000685 Loss_D_real: -0.008524 Loss_D_fake 0.013096
[1145/5000][430/535][118119] Loss_D: -0.020337 Loss_G: -0.001472 Loss_D_real: -0.008045 Loss_D_fake 0.012291
[1145/5000][435/535][118120] Loss_D: -0.021203 Loss_G: -0.005790 Loss_D_real: -0.014967 Loss_D_fake 0.006237
[1145/5000][440/535][118121] Loss_D: -0.020748 Loss_G: 0.018720 Loss_D_real: -0.028123 Loss_D_fake -0.007375
[1145/5000][445/535][118122] Loss_D: -0.020882 Loss_G: 0.011769 Loss_D_real: -0.023938 Loss_D_fake -0.003056
[1145/5000][450/535][118123] Loss_D: -0.021585 Loss_G: -0.001919 Loss_D_real: 0.000584 Loss_D_fake 0.022169
[1145/5000][455/535][118124] Loss_D: -0.021530 Loss_G: 0.006471 Loss_D_real: -0.014153 Loss_D_fake 0.007378
[1145/5000][460/535][118125] Loss_D: -0.021203 Loss_G: -0.001500 Loss_D_real: -0.019301 Loss_D_fake 0.001903
[1145/5000][465/535][118126] Loss_D: -0.020585 Loss_G: 0.000228 Loss_D_real: -0.026449 Loss_D_fake -0.005864
[1145/5000][470/535][118127] Loss_D: -0.021701 Loss_G: 0.030030 Loss_D_real: -0.026014 Loss_D_fake -0.004312
[1145/5000][475/535][118128] Loss_D: -0.020753 Loss_G: -0.008008 Loss_D_real: -0.008246 Loss_D_fake 0.012507
[1145/5000][480/535][118129] Loss_D: -0.021796 Loss_G: 0.012036 Loss_D_real: -0.021743 Loss_D_fake 0.000053
[1145/5000][485/535][118130] Loss_D: -0.020201 Loss_G: 0.023512 Loss_D_real: -0.035999 Loss_D_fake -0.015798
[1145/5000][490/535][118131] Loss_D: -0.021597 Loss_G: 0.019727 Loss_D_real: -0.025211 Loss_D_fake -0.003614
[1145/5000][495/535][118132] Loss_D: -0.021498 Loss_G: 0.018387 Loss_D_real: -0.025487 Loss_D_fake -0.003989
[1145/5000][500/535][118133] Loss_D: -0.022175 Loss_G: 0.011555 Loss_D_real: -0.024992 Loss_D_fake -0.002818
[1145/5000][505/535][118134] Loss_D: -0.021628 Loss_G: 0.011451 Loss_D_real: -0.018046 Loss_D_fake 0.003582
[1145/5000][510/535][118135] Loss_D: -0.022732 Loss_G: 0.005835 Loss_D_real: -0.022966 Loss_D_fake -0.000234
[1145/5000][515/535][118136] Loss_D: -0.020001 Loss_G: 0.021123 Loss_D_real: -0.027429 Loss_D_fake -0.007428
[1145/5000][520/535][118137] Loss_D: -0.021455 Loss_G: 0.015066 Loss_D_real: -0.025448 Loss_D_fake -0.003993
[1145/5000][525/535][118138] Loss_D: -0.021651 Loss_G: -0.002591 Loss_D_real: -0.007350 Loss_D_fake 0.014301
[1145/5000][530/535][118139] Loss_D: -0.023075 Loss_G: 0.006385 Loss_D_real: -0.014385 Loss_D_fake 0.008690
[1145/5000][535/535][118140] Loss_D: -0.020762 Loss_G: -0.034639 Loss_D_real: -0.019812 Loss_D_fake 0.000950
[1146/5000][5/535][118141] Loss_D: -0.020340 Loss_G: -0.000246 Loss_D_real: -0.017644 Loss_D_fake 0.002696
[1146/5000][10/535][118142] Loss_D: -0.020035 Loss_G: 0.020000 Loss_D_real: -0.024044 Loss_D_fake -0.004009
[1146/5000][15/535][118143] Loss_D: -0.021374 Loss_G: 0.012393 Loss_D_real: -0.015525 Loss_D_fake 0.005849
[1146/5000][20/535][118144] Loss_D: -0.020635 Loss_G: 0.006864 Loss_D_real: -0.011540 Loss_D_fake 0.009095
[1146/5000][25/535][118145] Loss_D: -0.020436 Loss_G: -0.007594 Loss_D_real: -0.011046 Loss_D_fake 0.009390
[1146/5000][30/535][118146] Loss_D: -0.021019 Loss_G: 0.002651 Loss_D_real: -0.014448 Loss_D_fake 0.006571
[1146/5000][35/535][118147] Loss_D: -0.021681 Loss_G: 0.011409 Loss_D_real: -0.010850 Loss_D_fake 0.010831
[1146/5000][40/535][118148] Loss_D: -0.020507 Loss_G: -0.004429 Loss_D_real: -0.005463 Loss_D_fake 0.015044
[1146/5000][45/535][118149] Loss_D: -0.022138 Loss_G: 0.022923 Loss_D_real: -0.019939 Loss_D_fake 0.002199
[1146/5000][50/535][118150] Loss_D: -0.020152 Loss_G: 0.005739 Loss_D_real: -0.028228 Loss_D_fake -0.008076
[1146/5000][55/535][118151] Loss_D: -0.021427 Loss_G: 0.011222 Loss_D_real: -0.020211 Loss_D_fake 0.001217
[1146/5000][60/535][118152] Loss_D: -0.020885 Loss_G: -0.008692 Loss_D_real: -0.003935 Loss_D_fake 0.016951
[1146/5000][65/535][118153] Loss_D: -0.021435 Loss_G: -0.006162 Loss_D_real: -0.019688 Loss_D_fake 0.001746
[1146/5000][70/535][118154] Loss_D: -0.021966 Loss_G: 0.013175 Loss_D_real: -0.013932 Loss_D_fake 0.008034
[1146/5000][75/535][118155] Loss_D: -0.020163 Loss_G: 0.011053 Loss_D_real: -0.022207 Loss_D_fake -0.002044
[1146/5000][80/535][118156] Loss_D: -0.023004 Loss_G: 0.013609 Loss_D_real: -0.024169 Loss_D_fake -0.001165
[1146/5000][85/535][118157] Loss_D: -0.020852 Loss_G: 0.011754 Loss_D_real: -0.024285 Loss_D_fake -0.003432
[1146/5000][90/535][118158] Loss_D: -0.021209 Loss_G: 0.011432 Loss_D_real: -0.013927 Loss_D_fake 0.007281
[1146/5000][95/535][118159] Loss_D: -0.020202 Loss_G: 0.009871 Loss_D_real: -0.016895 Loss_D_fake 0.003306
[1146/5000][100/535][118160] Loss_D: -0.020941 Loss_G: 0.001499 Loss_D_real: -0.008247 Loss_D_fake 0.012694
[1146/5000][105/535][118161] Loss_D: -0.019455 Loss_G: 0.020811 Loss_D_real: -0.021059 Loss_D_fake -0.001605
[1146/5000][110/535][118162] Loss_D: -0.020984 Loss_G: 0.026659 Loss_D_real: -0.013673 Loss_D_fake 0.007311
[1146/5000][115/535][118163] Loss_D: -0.020716 Loss_G: 0.008452 Loss_D_real: -0.017865 Loss_D_fake 0.002851
[1146/5000][120/535][118164] Loss_D: -0.020544 Loss_G: -0.013588 Loss_D_real: -0.005565 Loss_D_fake 0.014979
[1146/5000][125/535][118165] Loss_D: -0.020676 Loss_G: 0.021853 Loss_D_real: -0.023948 Loss_D_fake -0.003272
[1146/5000][130/535][118166] Loss_D: -0.020712 Loss_G: 0.013073 Loss_D_real: -0.032401 Loss_D_fake -0.011690
[1146/5000][135/535][118167] Loss_D: -0.021716 Loss_G: -0.003650 Loss_D_real: -0.015646 Loss_D_fake 0.006070
[1146/5000][140/535][118168] Loss_D: -0.021015 Loss_G: 0.012160 Loss_D_real: -0.021856 Loss_D_fake -0.000840
[1146/5000][145/535][118169] Loss_D: -0.019846 Loss_G: -0.011070 Loss_D_real: -0.002360 Loss_D_fake 0.017486
[1146/5000][150/535][118170] Loss_D: -0.020956 Loss_G: 0.003468 Loss_D_real: -0.021687 Loss_D_fake -0.000731
[1146/5000][155/535][118171] Loss_D: -0.020302 Loss_G: -0.020301 Loss_D_real: -0.001491 Loss_D_fake 0.018811
[1146/5000][160/535][118172] Loss_D: -0.020873 Loss_G: -0.006401 Loss_D_real: -0.010702 Loss_D_fake 0.010171
[1146/5000][165/535][118173] Loss_D: -0.020212 Loss_G: -0.005681 Loss_D_real: 0.001875 Loss_D_fake 0.022087
[1146/5000][170/535][118174] Loss_D: -0.022822 Loss_G: 0.021761 Loss_D_real: -0.028931 Loss_D_fake -0.006109
[1146/5000][175/535][118175] Loss_D: -0.021031 Loss_G: -0.001000 Loss_D_real: -0.007621 Loss_D_fake 0.013410
[1146/5000][180/535][118176] Loss_D: -0.021484 Loss_G: 0.006514 Loss_D_real: -0.012370 Loss_D_fake 0.009114
[1146/5000][185/535][118177] Loss_D: -0.020730 Loss_G: 0.013674 Loss_D_real: -0.025157 Loss_D_fake -0.004427
[1146/5000][190/535][118178] Loss_D: -0.020171 Loss_G: 0.003998 Loss_D_real: -0.008461 Loss_D_fake 0.011710
[1146/5000][195/535][118179] Loss_D: -0.021257 Loss_G: -0.013851 Loss_D_real: -0.013027 Loss_D_fake 0.008230
[1146/5000][200/535][118180] Loss_D: -0.020837 Loss_G: 0.010223 Loss_D_real: -0.015049 Loss_D_fake 0.005788
[1146/5000][205/535][118181] Loss_D: -0.021350 Loss_G: 0.018997 Loss_D_real: -0.013634 Loss_D_fake 0.007717
[1146/5000][210/535][118182] Loss_D: -0.021107 Loss_G: -0.007574 Loss_D_real: -0.008807 Loss_D_fake 0.012300
[1146/5000][215/535][118183] Loss_D: -0.020848 Loss_G: 0.002321 Loss_D_real: -0.020009 Loss_D_fake 0.000839
[1146/5000][220/535][118184] Loss_D: -0.020555 Loss_G: 0.024535 Loss_D_real: -0.031275 Loss_D_fake -0.010720
[1146/5000][225/535][118185] Loss_D: -0.022260 Loss_G: 0.005779 Loss_D_real: -0.019404 Loss_D_fake 0.002856
[1146/5000][230/535][118186] Loss_D: -0.021041 Loss_G: 0.018276 Loss_D_real: -0.026869 Loss_D_fake -0.005828
[1146/5000][235/535][118187] Loss_D: -0.021523 Loss_G: 0.019964 Loss_D_real: -0.011720 Loss_D_fake 0.009802
[1146/5000][240/535][118188] Loss_D: -0.021493 Loss_G: -0.010361 Loss_D_real: -0.019936 Loss_D_fake 0.001557
[1146/5000][245/535][118189] Loss_D: -0.020194 Loss_G: 0.017838 Loss_D_real: -0.023721 Loss_D_fake -0.003528
[1146/5000][250/535][118190] Loss_D: -0.021505 Loss_G: 0.002081 Loss_D_real: -0.019041 Loss_D_fake 0.002463
[1146/5000][255/535][118191] Loss_D: -0.021536 Loss_G: -0.002803 Loss_D_real: -0.008173 Loss_D_fake 0.013362
[1146/5000][260/535][118192] Loss_D: -0.019408 Loss_G: -0.018591 Loss_D_real: -0.004183 Loss_D_fake 0.015225
[1146/5000][265/535][118193] Loss_D: -0.020577 Loss_G: 0.009729 Loss_D_real: -0.022939 Loss_D_fake -0.002361
[1146/5000][270/535][118194] Loss_D: -0.020049 Loss_G: -0.002597 Loss_D_real: -0.013278 Loss_D_fake 0.006771
[1146/5000][275/535][118195] Loss_D: -0.021256 Loss_G: 0.013020 Loss_D_real: -0.019260 Loss_D_fake 0.001996
[1146/5000][280/535][118196] Loss_D: -0.019507 Loss_G: 0.024169 Loss_D_real: -0.026422 Loss_D_fake -0.006915
[1146/5000][285/535][118197] Loss_D: -0.020934 Loss_G: 0.003676 Loss_D_real: -0.008540 Loss_D_fake 0.012394
[1146/5000][290/535][118198] Loss_D: -0.022061 Loss_G: -0.011401 Loss_D_real: -0.006280 Loss_D_fake 0.015781
[1146/5000][295/535][118199] Loss_D: -0.021586 Loss_G: 0.018086 Loss_D_real: -0.022425 Loss_D_fake -0.000839
[1146/5000][300/535][118200] Loss_D: -0.021580 Loss_G: 0.022523 Loss_D_real: -0.015448 Loss_D_fake 0.006132
[1146/5000][305/535][118201] Loss_D: -0.020722 Loss_G: -0.007664 Loss_D_real: 0.004257 Loss_D_fake 0.024979
[1146/5000][310/535][118202] Loss_D: -0.022249 Loss_G: 0.027683 Loss_D_real: -0.027384 Loss_D_fake -0.005135
[1146/5000][315/535][118203] Loss_D: -0.019955 Loss_G: 0.004926 Loss_D_real: -0.017600 Loss_D_fake 0.002355
[1146/5000][320/535][118204] Loss_D: -0.021508 Loss_G: 0.025402 Loss_D_real: -0.035028 Loss_D_fake -0.013519
[1146/5000][325/535][118205] Loss_D: -0.021198 Loss_G: 0.011041 Loss_D_real: -0.017578 Loss_D_fake 0.003621
[1146/5000][330/535][118206] Loss_D: -0.021888 Loss_G: 0.007060 Loss_D_real: -0.019364 Loss_D_fake 0.002524
[1146/5000][335/535][118207] Loss_D: -0.018746 Loss_G: -0.020385 Loss_D_real: 0.001343 Loss_D_fake 0.020089
[1146/5000][340/535][118208] Loss_D: -0.019808 Loss_G: 0.008082 Loss_D_real: -0.018656 Loss_D_fake 0.001152
[1146/5000][345/535][118209] Loss_D: -0.020345 Loss_G: -0.015874 Loss_D_real: -0.014848 Loss_D_fake 0.005497
[1146/5000][350/535][118210] Loss_D: -0.022265 Loss_G: 0.020105 Loss_D_real: -0.022928 Loss_D_fake -0.000664
[1146/5000][355/535][118211] Loss_D: -0.022385 Loss_G: 0.016744 Loss_D_real: -0.029645 Loss_D_fake -0.007260
[1146/5000][360/535][118212] Loss_D: -0.021571 Loss_G: 0.011654 Loss_D_real: -0.019540 Loss_D_fake 0.002031
[1146/5000][365/535][118213] Loss_D: -0.019488 Loss_G: 0.021215 Loss_D_real: -0.038622 Loss_D_fake -0.019134
[1146/5000][370/535][118214] Loss_D: -0.022584 Loss_G: 0.018599 Loss_D_real: -0.031141 Loss_D_fake -0.008558
[1146/5000][375/535][118215] Loss_D: -0.020834 Loss_G: 0.001693 Loss_D_real: -0.023304 Loss_D_fake -0.002470
[1146/5000][380/535][118216] Loss_D: -0.023390 Loss_G: 0.010132 Loss_D_real: -0.022158 Loss_D_fake 0.001232
[1146/5000][385/535][118217] Loss_D: -0.022255 Loss_G: 0.011295 Loss_D_real: -0.008698 Loss_D_fake 0.013558
[1146/5000][390/535][118218] Loss_D: -0.021869 Loss_G: -0.008125 Loss_D_real: -0.011253 Loss_D_fake 0.010617
[1146/5000][395/535][118219] Loss_D: -0.021643 Loss_G: 0.004551 Loss_D_real: -0.004185 Loss_D_fake 0.017459
[1146/5000][400/535][118220] Loss_D: -0.019387 Loss_G: -0.001853 Loss_D_real: -0.009576 Loss_D_fake 0.009812
[1146/5000][405/535][118221] Loss_D: -0.020596 Loss_G: -0.008174 Loss_D_real: -0.000458 Loss_D_fake 0.020138
[1146/5000][410/535][118222] Loss_D: -0.021422 Loss_G: 0.001743 Loss_D_real: -0.015473 Loss_D_fake 0.005949
[1146/5000][415/535][118223] Loss_D: -0.021480 Loss_G: 0.010451 Loss_D_real: -0.015779 Loss_D_fake 0.005701
[1146/5000][420/535][118224] Loss_D: -0.019782 Loss_G: 0.018926 Loss_D_real: -0.030050 Loss_D_fake -0.010267
[1146/5000][425/535][118225] Loss_D: -0.020718 Loss_G: 0.015834 Loss_D_real: -0.020861 Loss_D_fake -0.000143
[1146/5000][430/535][118226] Loss_D: -0.020130 Loss_G: -0.017638 Loss_D_real: -0.002714 Loss_D_fake 0.017416
[1146/5000][435/535][118227] Loss_D: -0.021615 Loss_G: 0.010258 Loss_D_real: -0.013741 Loss_D_fake 0.007874
[1146/5000][440/535][118228] Loss_D: -0.020378 Loss_G: 0.001594 Loss_D_real: -0.020712 Loss_D_fake -0.000334
[1146/5000][445/535][118229] Loss_D: -0.021788 Loss_G: 0.013198 Loss_D_real: -0.020716 Loss_D_fake 0.001072
[1146/5000][450/535][118230] Loss_D: -0.020989 Loss_G: 0.008245 Loss_D_real: -0.014659 Loss_D_fake 0.006331
[1146/5000][455/535][118231] Loss_D: -0.020694 Loss_G: 0.022386 Loss_D_real: -0.026423 Loss_D_fake -0.005729
[1146/5000][460/535][118232] Loss_D: -0.021497 Loss_G: 0.018095 Loss_D_real: -0.027343 Loss_D_fake -0.005846
[1146/5000][465/535][118233] Loss_D: -0.020896 Loss_G: 0.012660 Loss_D_real: -0.015710 Loss_D_fake 0.005186
[1146/5000][470/535][118234] Loss_D: -0.021382 Loss_G: 0.003415 Loss_D_real: -0.016657 Loss_D_fake 0.004725
[1146/5000][475/535][118235] Loss_D: -0.020660 Loss_G: 0.014928 Loss_D_real: -0.031499 Loss_D_fake -0.010839
[1146/5000][480/535][118236] Loss_D: -0.020274 Loss_G: 0.014143 Loss_D_real: -0.020160 Loss_D_fake 0.000114
[1146/5000][485/535][118237] Loss_D: -0.020686 Loss_G: 0.012387 Loss_D_real: -0.019661 Loss_D_fake 0.001026
[1146/5000][490/535][118238] Loss_D: -0.019943 Loss_G: 0.006864 Loss_D_real: -0.008517 Loss_D_fake 0.011427
[1146/5000][495/535][118239] Loss_D: -0.020904 Loss_G: -0.001143 Loss_D_real: -0.010281 Loss_D_fake 0.010623
[1146/5000][500/535][118240] Loss_D: -0.021802 Loss_G: 0.014796 Loss_D_real: -0.031386 Loss_D_fake -0.009584
[1146/5000][505/535][118241] Loss_D: -0.020704 Loss_G: 0.028920 Loss_D_real: -0.037738 Loss_D_fake -0.017034
[1146/5000][510/535][118242] Loss_D: -0.021490 Loss_G: 0.015424 Loss_D_real: -0.017643 Loss_D_fake 0.003847
[1146/5000][515/535][118243] Loss_D: -0.021499 Loss_G: 0.012793 Loss_D_real: -0.014872 Loss_D_fake 0.006626
[1146/5000][520/535][118244] Loss_D: -0.022161 Loss_G: 0.008068 Loss_D_real: -0.026583 Loss_D_fake -0.004422
[1146/5000][525/535][118245] Loss_D: -0.021844 Loss_G: 0.022446 Loss_D_real: -0.030423 Loss_D_fake -0.008579
[1146/5000][530/535][118246] Loss_D: -0.021314 Loss_G: 0.017509 Loss_D_real: -0.024390 Loss_D_fake -0.003075
[1146/5000][535/535][118247] Loss_D: -0.020349 Loss_G: -0.004363 Loss_D_real: -0.008333 Loss_D_fake 0.012016
[1147/5000][5/535][118248] Loss_D: -0.020774 Loss_G: 0.007779 Loss_D_real: -0.020219 Loss_D_fake 0.000555
[1147/5000][10/535][118249] Loss_D: -0.020884 Loss_G: 0.011208 Loss_D_real: -0.014665 Loss_D_fake 0.006219
[1147/5000][15/535][118250] Loss_D: -0.021228 Loss_G: 0.002300 Loss_D_real: -0.016131 Loss_D_fake 0.005096
[1147/5000][20/535][118251] Loss_D: -0.020687 Loss_G: 0.010738 Loss_D_real: -0.008519 Loss_D_fake 0.012168
[1147/5000][25/535][118252] Loss_D: -0.020586 Loss_G: 0.009307 Loss_D_real: -0.005718 Loss_D_fake 0.014867
[1147/5000][30/535][118253] Loss_D: -0.020983 Loss_G: 0.002807 Loss_D_real: -0.006826 Loss_D_fake 0.014157
[1147/5000][35/535][118254] Loss_D: -0.022205 Loss_G: 0.011097 Loss_D_real: -0.025516 Loss_D_fake -0.003311
[1147/5000][40/535][118255] Loss_D: -0.021509 Loss_G: 0.004270 Loss_D_real: -0.024461 Loss_D_fake -0.002953
[1147/5000][45/535][118256] Loss_D: -0.020741 Loss_G: 0.003497 Loss_D_real: -0.004743 Loss_D_fake 0.015997
[1147/5000][50/535][118257] Loss_D: -0.019416 Loss_G: -0.005579 Loss_D_real: -0.004160 Loss_D_fake 0.015256
[1147/5000][55/535][118258] Loss_D: -0.020266 Loss_G: -0.003640 Loss_D_real: -0.004623 Loss_D_fake 0.015643
[1147/5000][60/535][118259] Loss_D: -0.021190 Loss_G: 0.008592 Loss_D_real: -0.019166 Loss_D_fake 0.002024
[1147/5000][65/535][118260] Loss_D: -0.022168 Loss_G: -0.005675 Loss_D_real: -0.029415 Loss_D_fake -0.007247
[1147/5000][70/535][118261] Loss_D: -0.019714 Loss_G: 0.007491 Loss_D_real: -0.018128 Loss_D_fake 0.001586
[1147/5000][75/535][118262] Loss_D: -0.020443 Loss_G: 0.014783 Loss_D_real: -0.017188 Loss_D_fake 0.003255
[1147/5000][80/535][118263] Loss_D: -0.021613 Loss_G: -0.004434 Loss_D_real: -0.014681 Loss_D_fake 0.006931
[1147/5000][85/535][118264] Loss_D: -0.020990 Loss_G: -0.006499 Loss_D_real: -0.002701 Loss_D_fake 0.018289
[1147/5000][90/535][118265] Loss_D: -0.020029 Loss_G: 0.000503 Loss_D_real: -0.009047 Loss_D_fake 0.010982
[1147/5000][95/535][118266] Loss_D: -0.019786 Loss_G: 0.025103 Loss_D_real: -0.028414 Loss_D_fake -0.008628
[1147/5000][100/535][118267] Loss_D: -0.020408 Loss_G: -0.011046 Loss_D_real: -0.008783 Loss_D_fake 0.011625
[1147/5000][105/535][118268] Loss_D: -0.019597 Loss_G: 0.011228 Loss_D_real: -0.035700 Loss_D_fake -0.016103
[1147/5000][110/535][118269] Loss_D: -0.019517 Loss_G: 0.000246 Loss_D_real: -0.020060 Loss_D_fake -0.000543
[1147/5000][115/535][118270] Loss_D: -0.021169 Loss_G: 0.012407 Loss_D_real: -0.013242 Loss_D_fake 0.007927
[1147/5000][120/535][118271] Loss_D: -0.021344 Loss_G: 0.005387 Loss_D_real: -0.015788 Loss_D_fake 0.005556
[1147/5000][125/535][118272] Loss_D: -0.020787 Loss_G: -0.001170 Loss_D_real: -0.006136 Loss_D_fake 0.014651
[1147/5000][130/535][118273] Loss_D: -0.021513 Loss_G: -0.006119 Loss_D_real: -0.010868 Loss_D_fake 0.010645
[1147/5000][135/535][118274] Loss_D: -0.020421 Loss_G: 0.005442 Loss_D_real: -0.009308 Loss_D_fake 0.011114
[1147/5000][140/535][118275] Loss_D: -0.019935 Loss_G: -0.000879 Loss_D_real: -0.004400 Loss_D_fake 0.015535
[1147/5000][145/535][118276] Loss_D: -0.020359 Loss_G: -0.019080 Loss_D_real: -0.001987 Loss_D_fake 0.018371
[1147/5000][150/535][118277] Loss_D: -0.020948 Loss_G: 0.003111 Loss_D_real: -0.005991 Loss_D_fake 0.014957
[1147/5000][155/535][118278] Loss_D: -0.018692 Loss_G: 0.031253 Loss_D_real: -0.032547 Loss_D_fake -0.013856
[1147/5000][160/535][118279] Loss_D: -0.020043 Loss_G: -0.010994 Loss_D_real: -0.006764 Loss_D_fake 0.013278
[1147/5000][165/535][118280] Loss_D: -0.019626 Loss_G: -0.010670 Loss_D_real: -0.013618 Loss_D_fake 0.006008
[1147/5000][170/535][118281] Loss_D: -0.020404 Loss_G: 0.025127 Loss_D_real: -0.017432 Loss_D_fake 0.002972
[1147/5000][175/535][118282] Loss_D: -0.019730 Loss_G: 0.009905 Loss_D_real: -0.028181 Loss_D_fake -0.008451
[1147/5000][180/535][118283] Loss_D: -0.020091 Loss_G: 0.007259 Loss_D_real: -0.011265 Loss_D_fake 0.008826
[1147/5000][185/535][118284] Loss_D: -0.021059 Loss_G: 0.021427 Loss_D_real: -0.035875 Loss_D_fake -0.014816
[1147/5000][190/535][118285] Loss_D: -0.020927 Loss_G: 0.018536 Loss_D_real: -0.032108 Loss_D_fake -0.011181
[1147/5000][195/535][118286] Loss_D: -0.020831 Loss_G: 0.022125 Loss_D_real: -0.012129 Loss_D_fake 0.008702
[1147/5000][200/535][118287] Loss_D: -0.021159 Loss_G: 0.008057 Loss_D_real: -0.014445 Loss_D_fake 0.006714
[1147/5000][205/535][118288] Loss_D: -0.022299 Loss_G: 0.014620 Loss_D_real: -0.017831 Loss_D_fake 0.004468
[1147/5000][210/535][118289] Loss_D: -0.021053 Loss_G: 0.020189 Loss_D_real: -0.026560 Loss_D_fake -0.005507
[1147/5000][215/535][118290] Loss_D: -0.020924 Loss_G: 0.013951 Loss_D_real: -0.030860 Loss_D_fake -0.009936
[1147/5000][220/535][118291] Loss_D: -0.021727 Loss_G: 0.013419 Loss_D_real: -0.027589 Loss_D_fake -0.005862
[1147/5000][225/535][118292] Loss_D: -0.020070 Loss_G: 0.014067 Loss_D_real: -0.031129 Loss_D_fake -0.011060
[1147/5000][230/535][118293] Loss_D: -0.020729 Loss_G: 0.011315 Loss_D_real: -0.027542 Loss_D_fake -0.006813
[1147/5000][235/535][118294] Loss_D: -0.020341 Loss_G: -0.003913 Loss_D_real: -0.011057 Loss_D_fake 0.009285
[1147/5000][240/535][118295] Loss_D: -0.021190 Loss_G: 0.018278 Loss_D_real: -0.016300 Loss_D_fake 0.004890
[1147/5000][245/535][118296] Loss_D: -0.021022 Loss_G: 0.016497 Loss_D_real: -0.026364 Loss_D_fake -0.005342
[1147/5000][250/535][118297] Loss_D: -0.020292 Loss_G: -0.002900 Loss_D_real: -0.013070 Loss_D_fake 0.007222
[1147/5000][255/535][118298] Loss_D: -0.021947 Loss_G: 0.016213 Loss_D_real: -0.031179 Loss_D_fake -0.009233
[1147/5000][260/535][118299] Loss_D: -0.022104 Loss_G: 0.016768 Loss_D_real: -0.017613 Loss_D_fake 0.004491
[1147/5000][265/535][118300] Loss_D: -0.021868 Loss_G: 0.000989 Loss_D_real: -0.013337 Loss_D_fake 0.008530
[1147/5000][270/535][118301] Loss_D: -0.021906 Loss_G: -0.013669 Loss_D_real: -0.008571 Loss_D_fake 0.013335
[1147/5000][275/535][118302] Loss_D: -0.021639 Loss_G: 0.000691 Loss_D_real: -0.017022 Loss_D_fake 0.004616
[1147/5000][280/535][118303] Loss_D: -0.021170 Loss_G: 0.017629 Loss_D_real: -0.020632 Loss_D_fake 0.000538
[1147/5000][285/535][118304] Loss_D: -0.022494 Loss_G: 0.006009 Loss_D_real: -0.002775 Loss_D_fake 0.019720
[1147/5000][290/535][118305] Loss_D: -0.020711 Loss_G: 0.015472 Loss_D_real: -0.032913 Loss_D_fake -0.012202
[1147/5000][295/535][118306] Loss_D: -0.021618 Loss_G: -0.014007 Loss_D_real: -0.006793 Loss_D_fake 0.014825
[1147/5000][300/535][118307] Loss_D: -0.021497 Loss_G: 0.004372 Loss_D_real: -0.015443 Loss_D_fake 0.006054
[1147/5000][305/535][118308] Loss_D: -0.021292 Loss_G: 0.001163 Loss_D_real: -0.014160 Loss_D_fake 0.007133
[1147/5000][310/535][118309] Loss_D: -0.019873 Loss_G: 0.007517 Loss_D_real: -0.021958 Loss_D_fake -0.002085
[1147/5000][315/535][118310] Loss_D: -0.020805 Loss_G: 0.005306 Loss_D_real: -0.016151 Loss_D_fake 0.004654
[1147/5000][320/535][118311] Loss_D: -0.022112 Loss_G: -0.006720 Loss_D_real: -0.027527 Loss_D_fake -0.005416
[1147/5000][325/535][118312] Loss_D: -0.021386 Loss_G: -0.004769 Loss_D_real: -0.013198 Loss_D_fake 0.008188
[1147/5000][330/535][118313] Loss_D: -0.022888 Loss_G: 0.020740 Loss_D_real: -0.020937 Loss_D_fake 0.001952
[1147/5000][335/535][118314] Loss_D: -0.020315 Loss_G: 0.016175 Loss_D_real: -0.020322 Loss_D_fake -0.000007
[1147/5000][340/535][118315] Loss_D: -0.021110 Loss_G: 0.012479 Loss_D_real: -0.026493 Loss_D_fake -0.005383
[1147/5000][345/535][118316] Loss_D: -0.021308 Loss_G: -0.001420 Loss_D_real: -0.016952 Loss_D_fake 0.004356
[1147/5000][350/535][118317] Loss_D: -0.020763 Loss_G: 0.006214 Loss_D_real: -0.023559 Loss_D_fake -0.002796
[1147/5000][355/535][118318] Loss_D: -0.020572 Loss_G: 0.023189 Loss_D_real: -0.029199 Loss_D_fake -0.008627
[1147/5000][360/535][118319] Loss_D: -0.019871 Loss_G: -0.012238 Loss_D_real: -0.003192 Loss_D_fake 0.016679
[1147/5000][365/535][118320] Loss_D: -0.021329 Loss_G: 0.006350 Loss_D_real: -0.016145 Loss_D_fake 0.005184
[1147/5000][370/535][118321] Loss_D: -0.021360 Loss_G: -0.005191 Loss_D_real: -0.011982 Loss_D_fake 0.009378
[1147/5000][375/535][118322] Loss_D: -0.020638 Loss_G: 0.017300 Loss_D_real: -0.020344 Loss_D_fake 0.000294
[1147/5000][380/535][118323] Loss_D: -0.020878 Loss_G: 0.030801 Loss_D_real: -0.024692 Loss_D_fake -0.003815
[1147/5000][385/535][118324] Loss_D: -0.021511 Loss_G: 0.003679 Loss_D_real: -0.016944 Loss_D_fake 0.004566
[1147/5000][390/535][118325] Loss_D: -0.019381 Loss_G: 0.018283 Loss_D_real: -0.033972 Loss_D_fake -0.014591
[1147/5000][395/535][118326] Loss_D: -0.022369 Loss_G: -0.009869 Loss_D_real: -0.021124 Loss_D_fake 0.001246
[1147/5000][400/535][118327] Loss_D: -0.021269 Loss_G: 0.014899 Loss_D_real: -0.023180 Loss_D_fake -0.001910
[1147/5000][405/535][118328] Loss_D: -0.020047 Loss_G: 0.007292 Loss_D_real: -0.015370 Loss_D_fake 0.004677
[1147/5000][410/535][118329] Loss_D: -0.019511 Loss_G: 0.031097 Loss_D_real: -0.032361 Loss_D_fake -0.012850
[1147/5000][415/535][118330] Loss_D: -0.021029 Loss_G: -0.000198 Loss_D_real: -0.012128 Loss_D_fake 0.008901
[1147/5000][420/535][118331] Loss_D: -0.022198 Loss_G: -0.007846 Loss_D_real: -0.021790 Loss_D_fake 0.000407
[1147/5000][425/535][118332] Loss_D: -0.020072 Loss_G: 0.023545 Loss_D_real: -0.028447 Loss_D_fake -0.008375
[1147/5000][430/535][118333] Loss_D: -0.020322 Loss_G: 0.016733 Loss_D_real: -0.026682 Loss_D_fake -0.006360
[1147/5000][435/535][118334] Loss_D: -0.020154 Loss_G: -0.008576 Loss_D_real: -0.007214 Loss_D_fake 0.012940
[1147/5000][440/535][118335] Loss_D: -0.020848 Loss_G: 0.006647 Loss_D_real: -0.019909 Loss_D_fake 0.000938
[1147/5000][445/535][118336] Loss_D: -0.021781 Loss_G: 0.003576 Loss_D_real: -0.013232 Loss_D_fake 0.008549
[1147/5000][450/535][118337] Loss_D: -0.021832 Loss_G: 0.024506 Loss_D_real: -0.019948 Loss_D_fake 0.001884
[1147/5000][455/535][118338] Loss_D: -0.022704 Loss_G: -0.000189 Loss_D_real: -0.010192 Loss_D_fake 0.012512
[1147/5000][460/535][118339] Loss_D: -0.022601 Loss_G: -0.003211 Loss_D_real: -0.001684 Loss_D_fake 0.020918
[1147/5000][465/535][118340] Loss_D: -0.022445 Loss_G: -0.000211 Loss_D_real: -0.017701 Loss_D_fake 0.004744
[1147/5000][470/535][118341] Loss_D: -0.021892 Loss_G: -0.002060 Loss_D_real: -0.011021 Loss_D_fake 0.010870
[1147/5000][475/535][118342] Loss_D: -0.021105 Loss_G: -0.003426 Loss_D_real: -0.016980 Loss_D_fake 0.004126
[1147/5000][480/535][118343] Loss_D: -0.021318 Loss_G: 0.008774 Loss_D_real: -0.022738 Loss_D_fake -0.001420
[1147/5000][485/535][118344] Loss_D: -0.021970 Loss_G: 0.019621 Loss_D_real: -0.019875 Loss_D_fake 0.002095
[1147/5000][490/535][118345] Loss_D: -0.020815 Loss_G: -0.004724 Loss_D_real: -0.024382 Loss_D_fake -0.003567
[1147/5000][495/535][118346] Loss_D: -0.021005 Loss_G: 0.019284 Loss_D_real: -0.025157 Loss_D_fake -0.004152
[1147/5000][500/535][118347] Loss_D: -0.020686 Loss_G: 0.030999 Loss_D_real: -0.027000 Loss_D_fake -0.006314
[1147/5000][505/535][118348] Loss_D: -0.021024 Loss_G: -0.007052 Loss_D_real: -0.001207 Loss_D_fake 0.019816
[1147/5000][510/535][118349] Loss_D: -0.020925 Loss_G: -0.013542 Loss_D_real: -0.004890 Loss_D_fake 0.016036
[1147/5000][515/535][118350] Loss_D: -0.021873 Loss_G: 0.001311 Loss_D_real: 0.004678 Loss_D_fake 0.026550
[1147/5000][520/535][118351] Loss_D: -0.019942 Loss_G: 0.005440 Loss_D_real: -0.011328 Loss_D_fake 0.008614
[1147/5000][525/535][118352] Loss_D: -0.020504 Loss_G: 0.011649 Loss_D_real: -0.024635 Loss_D_fake -0.004131
[1147/5000][530/535][118353] Loss_D: -0.020358 Loss_G: -0.004012 Loss_D_real: -0.002423 Loss_D_fake 0.017935
[1147/5000][535/535][118354] Loss_D: -0.019470 Loss_G: 0.004578 Loss_D_real: -0.022058 Loss_D_fake -0.002588
[1148/5000][5/535][118355] Loss_D: -0.021261 Loss_G: 0.020674 Loss_D_real: -0.025650 Loss_D_fake -0.004389
[1148/5000][10/535][118356] Loss_D: -0.021251 Loss_G: 0.002891 Loss_D_real: -0.022087 Loss_D_fake -0.000836
[1148/5000][15/535][118357] Loss_D: -0.021823 Loss_G: 0.011785 Loss_D_real: -0.012185 Loss_D_fake 0.009638
[1148/5000][20/535][118358] Loss_D: -0.020561 Loss_G: -0.008842 Loss_D_real: 0.000200 Loss_D_fake 0.020762
[1148/5000][25/535][118359] Loss_D: -0.019957 Loss_G: -0.002015 Loss_D_real: -0.019520 Loss_D_fake 0.000436
[1148/5000][30/535][118360] Loss_D: -0.021739 Loss_G: 0.019411 Loss_D_real: -0.020023 Loss_D_fake 0.001715
[1148/5000][35/535][118361] Loss_D: -0.020919 Loss_G: 0.006974 Loss_D_real: -0.014117 Loss_D_fake 0.006802
[1148/5000][40/535][118362] Loss_D: -0.020663 Loss_G: 0.006597 Loss_D_real: -0.034136 Loss_D_fake -0.013473
[1148/5000][45/535][118363] Loss_D: -0.020210 Loss_G: 0.014967 Loss_D_real: -0.027489 Loss_D_fake -0.007278
[1148/5000][50/535][118364] Loss_D: -0.019102 Loss_G: -0.013469 Loss_D_real: 0.001769 Loss_D_fake 0.020871
[1148/5000][55/535][118365] Loss_D: -0.020502 Loss_G: 0.002125 Loss_D_real: -0.010234 Loss_D_fake 0.010268
[1148/5000][60/535][118366] Loss_D: -0.022082 Loss_G: -0.000631 Loss_D_real: -0.016907 Loss_D_fake 0.005175
[1148/5000][65/535][118367] Loss_D: -0.021867 Loss_G: 0.019981 Loss_D_real: -0.027233 Loss_D_fake -0.005367
[1148/5000][70/535][118368] Loss_D: -0.022670 Loss_G: 0.016971 Loss_D_real: -0.016140 Loss_D_fake 0.006530
[1148/5000][75/535][118369] Loss_D: -0.022110 Loss_G: 0.021394 Loss_D_real: -0.031589 Loss_D_fake -0.009479
[1148/5000][80/535][118370] Loss_D: -0.021835 Loss_G: 0.010074 Loss_D_real: -0.017791 Loss_D_fake 0.004045
[1148/5000][85/535][118371] Loss_D: -0.021303 Loss_G: 0.008598 Loss_D_real: -0.030078 Loss_D_fake -0.008775
[1148/5000][90/535][118372] Loss_D: -0.021312 Loss_G: -0.013124 Loss_D_real: -0.008230 Loss_D_fake 0.013082
[1148/5000][95/535][118373] Loss_D: -0.020627 Loss_G: 0.014047 Loss_D_real: -0.013913 Loss_D_fake 0.006714
[1148/5000][100/535][118374] Loss_D: -0.020029 Loss_G: -0.010573 Loss_D_real: -0.005756 Loss_D_fake 0.014273
[1148/5000][105/535][118375] Loss_D: -0.021612 Loss_G: 0.014252 Loss_D_real: -0.021558 Loss_D_fake 0.000054
[1148/5000][110/535][118376] Loss_D: -0.019895 Loss_G: 0.016249 Loss_D_real: -0.031987 Loss_D_fake -0.012092
[1148/5000][115/535][118377] Loss_D: -0.022193 Loss_G: -0.005706 Loss_D_real: -0.017366 Loss_D_fake 0.004827
[1148/5000][120/535][118378] Loss_D: -0.020887 Loss_G: 0.018757 Loss_D_real: -0.034876 Loss_D_fake -0.013990
[1148/5000][125/535][118379] Loss_D: -0.021251 Loss_G: -0.012643 Loss_D_real: 0.000451 Loss_D_fake 0.021702
[1148/5000][130/535][118380] Loss_D: -0.020694 Loss_G: 0.024541 Loss_D_real: -0.024976 Loss_D_fake -0.004282
[1148/5000][135/535][118381] Loss_D: -0.022102 Loss_G: 0.017731 Loss_D_real: -0.016625 Loss_D_fake 0.005477
[1148/5000][140/535][118382] Loss_D: -0.019559 Loss_G: 0.026957 Loss_D_real: -0.029776 Loss_D_fake -0.010217
[1148/5000][145/535][118383] Loss_D: -0.019497 Loss_G: -0.000019 Loss_D_real: -0.010441 Loss_D_fake 0.009056
[1148/5000][150/535][118384] Loss_D: -0.021144 Loss_G: 0.026487 Loss_D_real: -0.018849 Loss_D_fake 0.002295
[1148/5000][155/535][118385] Loss_D: -0.022240 Loss_G: 0.014791 Loss_D_real: -0.023935 Loss_D_fake -0.001696
[1148/5000][160/535][118386] Loss_D: -0.021101 Loss_G: 0.009317 Loss_D_real: -0.010041 Loss_D_fake 0.011059
[1148/5000][165/535][118387] Loss_D: -0.020393 Loss_G: -0.003049 Loss_D_real: -0.003742 Loss_D_fake 0.016651
[1148/5000][170/535][118388] Loss_D: -0.020772 Loss_G: -0.001170 Loss_D_real: -0.008669 Loss_D_fake 0.012103
[1148/5000][175/535][118389] Loss_D: -0.022883 Loss_G: 0.012179 Loss_D_real: -0.020530 Loss_D_fake 0.002352
[1148/5000][180/535][118390] Loss_D: -0.021083 Loss_G: 0.002799 Loss_D_real: -0.009641 Loss_D_fake 0.011442
[1148/5000][185/535][118391] Loss_D: -0.020674 Loss_G: 0.014181 Loss_D_real: -0.035415 Loss_D_fake -0.014740
[1148/5000][190/535][118392] Loss_D: -0.022030 Loss_G: 0.004522 Loss_D_real: -0.022865 Loss_D_fake -0.000835
[1148/5000][195/535][118393] Loss_D: -0.021614 Loss_G: 0.004828 Loss_D_real: -0.011862 Loss_D_fake 0.009752
[1148/5000][200/535][118394] Loss_D: -0.021326 Loss_G: 0.015970 Loss_D_real: -0.018715 Loss_D_fake 0.002610
[1148/5000][205/535][118395] Loss_D: -0.020966 Loss_G: 0.027157 Loss_D_real: -0.029213 Loss_D_fake -0.008247
[1148/5000][210/535][118396] Loss_D: -0.021706 Loss_G: -0.003741 Loss_D_real: -0.019246 Loss_D_fake 0.002459
[1148/5000][215/535][118397] Loss_D: -0.022290 Loss_G: 0.006334 Loss_D_real: -0.014442 Loss_D_fake 0.007848
[1148/5000][220/535][118398] Loss_D: -0.020420 Loss_G: 0.023324 Loss_D_real: -0.032743 Loss_D_fake -0.012323
[1148/5000][225/535][118399] Loss_D: -0.020818 Loss_G: 0.014528 Loss_D_real: -0.017734 Loss_D_fake 0.003084
[1148/5000][230/535][118400] Loss_D: -0.020491 Loss_G: -0.003068 Loss_D_real: -0.019433 Loss_D_fake 0.001058
[1148/5000][235/535][118401] Loss_D: -0.019593 Loss_G: 0.009302 Loss_D_real: -0.021302 Loss_D_fake -0.001709
[1148/5000][240/535][118402] Loss_D: -0.020601 Loss_G: 0.010923 Loss_D_real: -0.015601 Loss_D_fake 0.005000
[1148/5000][245/535][118403] Loss_D: -0.021672 Loss_G: -0.000937 Loss_D_real: -0.015134 Loss_D_fake 0.006538
[1148/5000][250/535][118404] Loss_D: -0.018620 Loss_G: 0.026029 Loss_D_real: -0.032062 Loss_D_fake -0.013441
[1148/5000][255/535][118405] Loss_D: -0.020942 Loss_G: 0.008982 Loss_D_real: -0.013967 Loss_D_fake 0.006975
[1148/5000][260/535][118406] Loss_D: -0.020994 Loss_G: -0.007051 Loss_D_real: -0.021202 Loss_D_fake -0.000208
[1148/5000][265/535][118407] Loss_D: -0.020074 Loss_G: 0.027453 Loss_D_real: -0.026755 Loss_D_fake -0.006681
[1148/5000][270/535][118408] Loss_D: -0.021085 Loss_G: -0.008292 Loss_D_real: -0.016556 Loss_D_fake 0.004529
[1148/5000][275/535][118409] Loss_D: -0.018415 Loss_G: 0.019355 Loss_D_real: -0.033406 Loss_D_fake -0.014991
[1148/5000][280/535][118410] Loss_D: -0.020062 Loss_G: 0.001664 Loss_D_real: -0.006395 Loss_D_fake 0.013667
[1148/5000][285/535][118411] Loss_D: -0.020884 Loss_G: 0.014884 Loss_D_real: -0.018043 Loss_D_fake 0.002841
[1148/5000][290/535][118412] Loss_D: -0.021260 Loss_G: 0.001547 Loss_D_real: -0.023226 Loss_D_fake -0.001966
[1148/5000][295/535][118413] Loss_D: -0.021095 Loss_G: 0.016408 Loss_D_real: -0.024802 Loss_D_fake -0.003707
[1148/5000][300/535][118414] Loss_D: -0.021505 Loss_G: 0.001095 Loss_D_real: -0.019947 Loss_D_fake 0.001557
[1148/5000][305/535][118415] Loss_D: -0.020448 Loss_G: 0.015154 Loss_D_real: -0.015284 Loss_D_fake 0.005164
[1148/5000][310/535][118416] Loss_D: -0.019847 Loss_G: 0.014815 Loss_D_real: -0.016588 Loss_D_fake 0.003259
[1148/5000][315/535][118417] Loss_D: -0.021767 Loss_G: 0.013703 Loss_D_real: -0.021260 Loss_D_fake 0.000507
[1148/5000][320/535][118418] Loss_D: -0.021012 Loss_G: 0.001401 Loss_D_real: -0.022085 Loss_D_fake -0.001073
[1148/5000][325/535][118419] Loss_D: -0.020265 Loss_G: -0.008270 Loss_D_real: -0.000937 Loss_D_fake 0.019328
[1148/5000][330/535][118420] Loss_D: -0.021153 Loss_G: 0.016671 Loss_D_real: -0.032339 Loss_D_fake -0.011186
[1148/5000][335/535][118421] Loss_D: -0.020431 Loss_G: 0.014854 Loss_D_real: -0.019384 Loss_D_fake 0.001047
[1148/5000][340/535][118422] Loss_D: -0.022229 Loss_G: 0.002656 Loss_D_real: -0.025970 Loss_D_fake -0.003740
[1148/5000][345/535][118423] Loss_D: -0.021754 Loss_G: -0.005346 Loss_D_real: -0.013815 Loss_D_fake 0.007940
[1148/5000][350/535][118424] Loss_D: -0.021287 Loss_G: 0.017098 Loss_D_real: -0.019769 Loss_D_fake 0.001518
[1148/5000][355/535][118425] Loss_D: -0.020707 Loss_G: -0.001734 Loss_D_real: 0.004875 Loss_D_fake 0.025583
[1148/5000][360/535][118426] Loss_D: -0.021819 Loss_G: 0.030745 Loss_D_real: -0.019181 Loss_D_fake 0.002637
[1148/5000][365/535][118427] Loss_D: -0.022484 Loss_G: 0.022240 Loss_D_real: -0.024735 Loss_D_fake -0.002252
[1148/5000][370/535][118428] Loss_D: -0.022119 Loss_G: 0.007341 Loss_D_real: -0.016689 Loss_D_fake 0.005430
[1148/5000][375/535][118429] Loss_D: -0.020666 Loss_G: 0.030287 Loss_D_real: -0.027046 Loss_D_fake -0.006380
[1148/5000][380/535][118430] Loss_D: -0.021020 Loss_G: 0.016279 Loss_D_real: -0.036594 Loss_D_fake -0.015574
[1148/5000][385/535][118431] Loss_D: -0.017900 Loss_G: 0.019101 Loss_D_real: -0.027725 Loss_D_fake -0.009825
[1148/5000][390/535][118432] Loss_D: -0.021716 Loss_G: 0.000245 Loss_D_real: -0.010635 Loss_D_fake 0.011081
[1148/5000][395/535][118433] Loss_D: -0.021590 Loss_G: -0.006831 Loss_D_real: -0.006198 Loss_D_fake 0.015392
[1148/5000][400/535][118434] Loss_D: -0.020934 Loss_G: 0.003758 Loss_D_real: -0.024544 Loss_D_fake -0.003610
[1148/5000][405/535][118435] Loss_D: -0.020095 Loss_G: 0.009781 Loss_D_real: -0.017076 Loss_D_fake 0.003019
[1148/5000][410/535][118436] Loss_D: -0.021271 Loss_G: 0.016474 Loss_D_real: -0.025125 Loss_D_fake -0.003853
[1148/5000][415/535][118437] Loss_D: -0.020847 Loss_G: -0.005183 Loss_D_real: 0.005061 Loss_D_fake 0.025908
[1148/5000][420/535][118438] Loss_D: -0.020010 Loss_G: -0.002812 Loss_D_real: -0.014282 Loss_D_fake 0.005728
[1148/5000][425/535][118439] Loss_D: -0.021355 Loss_G: 0.021672 Loss_D_real: -0.024114 Loss_D_fake -0.002759
[1148/5000][430/535][118440] Loss_D: -0.020733 Loss_G: -0.012811 Loss_D_real: -0.011346 Loss_D_fake 0.009387
[1148/5000][435/535][118441] Loss_D: -0.020440 Loss_G: 0.002237 Loss_D_real: -0.002903 Loss_D_fake 0.017537
[1148/5000][440/535][118442] Loss_D: -0.019683 Loss_G: 0.013651 Loss_D_real: -0.026643 Loss_D_fake -0.006960
[1148/5000][445/535][118443] Loss_D: -0.020481 Loss_G: 0.007349 Loss_D_real: -0.015846 Loss_D_fake 0.004635
[1148/5000][450/535][118444] Loss_D: -0.021075 Loss_G: 0.009409 Loss_D_real: -0.020098 Loss_D_fake 0.000978
[1148/5000][455/535][118445] Loss_D: -0.021317 Loss_G: 0.026414 Loss_D_real: -0.015901 Loss_D_fake 0.005416
[1148/5000][460/535][118446] Loss_D: -0.020032 Loss_G: -0.012378 Loss_D_real: 0.000959 Loss_D_fake 0.020991
[1148/5000][465/535][118447] Loss_D: -0.021204 Loss_G: -0.011757 Loss_D_real: 0.005708 Loss_D_fake 0.026913
[1148/5000][470/535][118448] Loss_D: -0.020242 Loss_G: 0.006941 Loss_D_real: -0.017160 Loss_D_fake 0.003081
[1148/5000][475/535][118449] Loss_D: -0.020505 Loss_G: 0.001566 Loss_D_real: -0.012748 Loss_D_fake 0.007757
[1148/5000][480/535][118450] Loss_D: -0.020102 Loss_G: -0.002733 Loss_D_real: -0.004925 Loss_D_fake 0.015176
[1148/5000][485/535][118451] Loss_D: -0.021392 Loss_G: 0.004565 Loss_D_real: -0.010668 Loss_D_fake 0.010723
[1148/5000][490/535][118452] Loss_D: -0.020452 Loss_G: 0.016392 Loss_D_real: -0.025560 Loss_D_fake -0.005108
[1148/5000][495/535][118453] Loss_D: -0.021468 Loss_G: 0.018515 Loss_D_real: -0.025415 Loss_D_fake -0.003948
[1148/5000][500/535][118454] Loss_D: -0.021362 Loss_G: -0.000831 Loss_D_real: -0.021294 Loss_D_fake 0.000068
[1148/5000][505/535][118455] Loss_D: -0.022398 Loss_G: 0.018873 Loss_D_real: -0.021800 Loss_D_fake 0.000598
[1148/5000][510/535][118456] Loss_D: -0.019915 Loss_G: -0.009923 Loss_D_real: 0.006832 Loss_D_fake 0.026747
[1148/5000][515/535][118457] Loss_D: -0.020424 Loss_G: -0.004635 Loss_D_real: -0.015975 Loss_D_fake 0.004449
[1148/5000][520/535][118458] Loss_D: -0.022377 Loss_G: 0.003450 Loss_D_real: -0.022703 Loss_D_fake -0.000325
[1148/5000][525/535][118459] Loss_D: -0.021452 Loss_G: -0.007145 Loss_D_real: -0.009756 Loss_D_fake 0.011697
[1148/5000][530/535][118460] Loss_D: -0.021032 Loss_G: 0.033387 Loss_D_real: -0.031201 Loss_D_fake -0.010168
[1148/5000][535/535][118461] Loss_D: -0.019292 Loss_G: 0.000172 Loss_D_real: -0.011620 Loss_D_fake 0.007671
[1149/5000][5/535][118462] Loss_D: -0.021662 Loss_G: 0.007332 Loss_D_real: -0.020713 Loss_D_fake 0.000949
[1149/5000][10/535][118463] Loss_D: -0.021112 Loss_G: -0.000012 Loss_D_real: -0.014818 Loss_D_fake 0.006294
[1149/5000][15/535][118464] Loss_D: -0.021171 Loss_G: 0.023975 Loss_D_real: -0.013449 Loss_D_fake 0.007722
[1149/5000][20/535][118465] Loss_D: -0.021046 Loss_G: -0.012734 Loss_D_real: -0.015087 Loss_D_fake 0.005959
[1149/5000][25/535][118466] Loss_D: -0.022023 Loss_G: 0.012122 Loss_D_real: -0.028348 Loss_D_fake -0.006325
[1149/5000][30/535][118467] Loss_D: -0.021479 Loss_G: -0.008345 Loss_D_real: -0.018948 Loss_D_fake 0.002531
[1149/5000][35/535][118468] Loss_D: -0.022420 Loss_G: -0.007436 Loss_D_real: -0.001835 Loss_D_fake 0.020585
[1149/5000][40/535][118469] Loss_D: -0.021484 Loss_G: 0.012564 Loss_D_real: -0.021647 Loss_D_fake -0.000162
[1149/5000][45/535][118470] Loss_D: -0.021382 Loss_G: 0.001988 Loss_D_real: -0.006173 Loss_D_fake 0.015210
[1149/5000][50/535][118471] Loss_D: -0.020905 Loss_G: -0.005156 Loss_D_real: -0.000071 Loss_D_fake 0.020834
[1149/5000][55/535][118472] Loss_D: -0.020875 Loss_G: 0.020318 Loss_D_real: -0.025880 Loss_D_fake -0.005005
[1149/5000][60/535][118473] Loss_D: -0.022657 Loss_G: 0.018227 Loss_D_real: -0.020845 Loss_D_fake 0.001812
[1149/5000][65/535][118474] Loss_D: -0.022089 Loss_G: 0.007017 Loss_D_real: -0.017933 Loss_D_fake 0.004156
[1149/5000][70/535][118475] Loss_D: -0.021270 Loss_G: -0.002560 Loss_D_real: -0.013281 Loss_D_fake 0.007989
[1149/5000][75/535][118476] Loss_D: -0.021074 Loss_G: 0.016329 Loss_D_real: -0.020959 Loss_D_fake 0.000115
[1149/5000][80/535][118477] Loss_D: -0.022267 Loss_G: 0.003426 Loss_D_real: -0.018700 Loss_D_fake 0.003567
[1149/5000][85/535][118478] Loss_D: -0.021811 Loss_G: 0.013702 Loss_D_real: -0.016243 Loss_D_fake 0.005567
[1149/5000][90/535][118479] Loss_D: -0.019876 Loss_G: -0.020138 Loss_D_real: 0.003125 Loss_D_fake 0.023001
[1149/5000][95/535][118480] Loss_D: -0.016691 Loss_G: 0.036704 Loss_D_real: -0.037642 Loss_D_fake -0.020951
[1149/5000][100/535][118481] Loss_D: -0.020411 Loss_G: -0.006452 Loss_D_real: -0.004518 Loss_D_fake 0.015893
[1149/5000][105/535][118482] Loss_D: -0.020079 Loss_G: 0.001682 Loss_D_real: -0.005292 Loss_D_fake 0.014787
[1149/5000][110/535][118483] Loss_D: -0.019666 Loss_G: 0.013462 Loss_D_real: -0.022616 Loss_D_fake -0.002950
[1149/5000][115/535][118484] Loss_D: -0.020816 Loss_G: -0.008708 Loss_D_real: -0.010968 Loss_D_fake 0.009848
[1149/5000][120/535][118485] Loss_D: -0.020003 Loss_G: 0.001101 Loss_D_real: -0.001568 Loss_D_fake 0.018435
[1149/5000][125/535][118486] Loss_D: -0.020722 Loss_G: -0.002419 Loss_D_real: -0.007438 Loss_D_fake 0.013284
[1149/5000][130/535][118487] Loss_D: -0.020204 Loss_G: 0.025734 Loss_D_real: -0.020635 Loss_D_fake -0.000432
[1149/5000][135/535][118488] Loss_D: -0.020170 Loss_G: 0.012124 Loss_D_real: -0.014829 Loss_D_fake 0.005341
[1149/5000][140/535][118489] Loss_D: -0.019897 Loss_G: 0.004795 Loss_D_real: -0.027230 Loss_D_fake -0.007333
[1149/5000][145/535][118490] Loss_D: -0.021823 Loss_G: 0.010480 Loss_D_real: -0.002867 Loss_D_fake 0.018956
[1149/5000][150/535][118491] Loss_D: -0.021224 Loss_G: 0.025649 Loss_D_real: -0.028408 Loss_D_fake -0.007184
[1149/5000][155/535][118492] Loss_D: -0.020241 Loss_G: -0.008273 Loss_D_real: -0.009271 Loss_D_fake 0.010970
[1149/5000][160/535][118493] Loss_D: -0.020025 Loss_G: 0.010660 Loss_D_real: -0.017199 Loss_D_fake 0.002826
[1149/5000][165/535][118494] Loss_D: -0.021419 Loss_G: -0.000690 Loss_D_real: -0.016930 Loss_D_fake 0.004489
[1149/5000][170/535][118495] Loss_D: -0.021048 Loss_G: 0.015889 Loss_D_real: -0.023964 Loss_D_fake -0.002916
[1149/5000][175/535][118496] Loss_D: -0.021561 Loss_G: 0.011563 Loss_D_real: -0.013254 Loss_D_fake 0.008308
[1149/5000][180/535][118497] Loss_D: -0.021348 Loss_G: 0.020740 Loss_D_real: -0.022377 Loss_D_fake -0.001029
[1149/5000][185/535][118498] Loss_D: -0.019791 Loss_G: 0.018845 Loss_D_real: -0.042083 Loss_D_fake -0.022292
[1149/5000][190/535][118499] Loss_D: -0.022137 Loss_G: 0.016579 Loss_D_real: -0.016735 Loss_D_fake 0.005402
[1149/5000][195/535][118500] Loss_D: -0.021543 Loss_G: -0.020425 Loss_D_real: -0.002334 Loss_D_fake 0.019209
[1149/5000][295/535][118501] Loss_D: -0.024022 Loss_G: 0.001147 Loss_D_real: -0.027452 Loss_D_fake -0.003429
[1149/5000][300/535][118502] Loss_D: -0.022385 Loss_G: 0.021150 Loss_D_real: -0.018390 Loss_D_fake 0.003995
[1149/5000][305/535][118503] Loss_D: -0.019018 Loss_G: -0.001961 Loss_D_real: -0.013960 Loss_D_fake 0.005059
[1149/5000][310/535][118504] Loss_D: -0.020157 Loss_G: -0.012198 Loss_D_real: -0.007819 Loss_D_fake 0.012338
[1149/5000][315/535][118505] Loss_D: -0.020140 Loss_G: -0.007398 Loss_D_real: -0.010999 Loss_D_fake 0.009141
[1149/5000][320/535][118506] Loss_D: -0.017516 Loss_G: 0.023858 Loss_D_real: -0.028912 Loss_D_fake -0.011396
[1149/5000][325/535][118507] Loss_D: -0.019930 Loss_G: 0.004511 Loss_D_real: -0.013600 Loss_D_fake 0.006330
[1149/5000][330/535][118508] Loss_D: -0.019790 Loss_G: 0.010489 Loss_D_real: -0.017049 Loss_D_fake 0.002741
[1149/5000][335/535][118509] Loss_D: -0.020366 Loss_G: 0.011359 Loss_D_real: -0.006548 Loss_D_fake 0.013818
[1149/5000][340/535][118510] Loss_D: -0.019760 Loss_G: -0.000359 Loss_D_real: -0.011091 Loss_D_fake 0.008669
[1149/5000][345/535][118511] Loss_D: -0.019997 Loss_G: 0.003020 Loss_D_real: -0.010040 Loss_D_fake 0.009957
[1149/5000][350/535][118512] Loss_D: -0.020436 Loss_G: -0.001987 Loss_D_real: -0.008060 Loss_D_fake 0.012376
[1149/5000][355/535][118513] Loss_D: -0.019749 Loss_G: -0.016349 Loss_D_real: 0.005113 Loss_D_fake 0.024862
[1149/5000][360/535][118514] Loss_D: -0.019782 Loss_G: -0.003438 Loss_D_real: -0.008453 Loss_D_fake 0.011330
[1149/5000][365/535][118515] Loss_D: -0.020298 Loss_G: 0.000548 Loss_D_real: -0.000238 Loss_D_fake 0.020060
[1149/5000][370/535][118516] Loss_D: -0.020015 Loss_G: 0.022349 Loss_D_real: -0.014893 Loss_D_fake 0.005121
[1149/5000][375/535][118517] Loss_D: -0.018686 Loss_G: 0.026719 Loss_D_real: -0.030463 Loss_D_fake -0.011777
[1149/5000][380/535][118518] Loss_D: -0.019841 Loss_G: 0.001578 Loss_D_real: -0.025105 Loss_D_fake -0.005264
[1149/5000][385/535][118519] Loss_D: -0.020897 Loss_G: 0.018753 Loss_D_real: -0.025957 Loss_D_fake -0.005061
[1149/5000][390/535][118520] Loss_D: -0.020201 Loss_G: -0.005057 Loss_D_real: -0.012066 Loss_D_fake 0.008135
[1149/5000][395/535][118521] Loss_D: -0.019921 Loss_G: -0.013274 Loss_D_real: -0.018840 Loss_D_fake 0.001081
[1149/5000][400/535][118522] Loss_D: -0.018451 Loss_G: -0.011586 Loss_D_real: 0.009298 Loss_D_fake 0.027749
[1149/5000][405/535][118523] Loss_D: -0.020740 Loss_G: 0.001283 Loss_D_real: -0.007965 Loss_D_fake 0.012775
[1149/5000][410/535][118524] Loss_D: -0.021470 Loss_G: 0.016072 Loss_D_real: -0.029739 Loss_D_fake -0.008269
[1149/5000][415/535][118525] Loss_D: -0.021007 Loss_G: 0.008293 Loss_D_real: -0.021830 Loss_D_fake -0.000822
[1149/5000][420/535][118526] Loss_D: -0.020649 Loss_G: 0.016487 Loss_D_real: -0.020018 Loss_D_fake 0.000632
[1149/5000][425/535][118527] Loss_D: -0.020398 Loss_G: 0.017708 Loss_D_real: -0.029737 Loss_D_fake -0.009339
[1149/5000][430/535][118528] Loss_D: -0.020831 Loss_G: 0.010470 Loss_D_real: -0.017565 Loss_D_fake 0.003266
[1149/5000][435/535][118529] Loss_D: -0.021752 Loss_G: -0.007419 Loss_D_real: -0.018417 Loss_D_fake 0.003335
[1149/5000][440/535][118530] Loss_D: -0.020767 Loss_G: -0.005347 Loss_D_real: -0.015328 Loss_D_fake 0.005439
[1149/5000][445/535][118531] Loss_D: -0.021727 Loss_G: 0.017714 Loss_D_real: -0.024874 Loss_D_fake -0.003147
[1149/5000][450/535][118532] Loss_D: -0.019852 Loss_G: -0.015043 Loss_D_real: -0.001140 Loss_D_fake 0.018712
[1149/5000][455/535][118533] Loss_D: -0.019458 Loss_G: 0.029896 Loss_D_real: -0.021850 Loss_D_fake -0.002393
[1149/5000][460/535][118534] Loss_D: -0.020514 Loss_G: 0.000009 Loss_D_real: -0.013399 Loss_D_fake 0.007116
[1149/5000][465/535][118535] Loss_D: -0.020948 Loss_G: 0.003601 Loss_D_real: -0.021478 Loss_D_fake -0.000530
[1149/5000][470/535][118536] Loss_D: -0.021617 Loss_G: -0.003289 Loss_D_real: -0.019886 Loss_D_fake 0.001731
[1149/5000][475/535][118537] Loss_D: -0.021555 Loss_G: -0.008645 Loss_D_real: -0.008345 Loss_D_fake 0.013210
[1149/5000][480/535][118538] Loss_D: -0.021131 Loss_G: 0.005272 Loss_D_real: -0.009117 Loss_D_fake 0.012014
[1149/5000][485/535][118539] Loss_D: -0.022345 Loss_G: 0.004187 Loss_D_real: -0.015697 Loss_D_fake 0.006649
[1149/5000][490/535][118540] Loss_D: -0.019449 Loss_G: 0.006173 Loss_D_real: -0.023097 Loss_D_fake -0.003648
[1149/5000][495/535][118541] Loss_D: -0.020868 Loss_G: 0.005050 Loss_D_real: -0.019047 Loss_D_fake 0.001821
[1149/5000][500/535][118542] Loss_D: -0.021196 Loss_G: 0.019773 Loss_D_real: -0.009684 Loss_D_fake 0.011512
[1149/5000][505/535][118543] Loss_D: -0.021536 Loss_G: 0.007961 Loss_D_real: -0.007831 Loss_D_fake 0.013705
[1149/5000][510/535][118544] Loss_D: -0.020547 Loss_G: -0.003261 Loss_D_real: 0.003096 Loss_D_fake 0.023643
[1149/5000][515/535][118545] Loss_D: -0.020549 Loss_G: 0.007568 Loss_D_real: -0.013896 Loss_D_fake 0.006652
[1149/5000][520/535][118546] Loss_D: -0.020858 Loss_G: 0.002916 Loss_D_real: -0.010874 Loss_D_fake 0.009984
[1149/5000][525/535][118547] Loss_D: -0.020090 Loss_G: 0.017504 Loss_D_real: -0.039283 Loss_D_fake -0.019193
[1149/5000][530/535][118548] Loss_D: -0.021702 Loss_G: -0.014903 Loss_D_real: -0.003689 Loss_D_fake 0.018013
[1149/5000][535/535][118549] Loss_D: -0.021941 Loss_G: 0.009338 Loss_D_real: -0.008165 Loss_D_fake 0.013776
[1150/5000][5/535][118550] Loss_D: -0.021889 Loss_G: 0.021612 Loss_D_real: -0.024140 Loss_D_fake -0.002251
[1150/5000][10/535][118551] Loss_D: -0.020552 Loss_G: 0.010147 Loss_D_real: -0.021367 Loss_D_fake -0.000815
[1150/5000][15/535][118552] Loss_D: -0.020393 Loss_G: 0.009694 Loss_D_real: -0.018730 Loss_D_fake 0.001662
[1150/5000][20/535][118553] Loss_D: -0.020453 Loss_G: 0.001717 Loss_D_real: -0.014842 Loss_D_fake 0.005611
[1150/5000][25/535][118554] Loss_D: -0.019839 Loss_G: 0.022295 Loss_D_real: -0.027426 Loss_D_fake -0.007586
[1150/5000][30/535][118555] Loss_D: -0.020399 Loss_G: 0.004663 Loss_D_real: -0.009991 Loss_D_fake 0.010408
[1150/5000][35/535][118556] Loss_D: -0.021362 Loss_G: -0.002500 Loss_D_real: -0.007868 Loss_D_fake 0.013494
[1150/5000][40/535][118557] Loss_D: -0.020739 Loss_G: 0.014120 Loss_D_real: -0.020193 Loss_D_fake 0.000546
[1150/5000][45/535][118558] Loss_D: -0.022328 Loss_G: 0.000741 Loss_D_real: -0.019551 Loss_D_fake 0.002777
[1150/5000][50/535][118559] Loss_D: -0.021070 Loss_G: 0.003542 Loss_D_real: -0.004471 Loss_D_fake 0.016599
[1150/5000][55/535][118560] Loss_D: -0.020989 Loss_G: 0.033401 Loss_D_real: -0.034919 Loss_D_fake -0.013929
[1150/5000][60/535][118561] Loss_D: -0.020133 Loss_G: -0.015831 Loss_D_real: 0.004086 Loss_D_fake 0.024218
[1150/5000][65/535][118562] Loss_D: -0.020989 Loss_G: 0.018862 Loss_D_real: -0.023652 Loss_D_fake -0.002663
[1150/5000][70/535][118563] Loss_D: -0.021543 Loss_G: 0.012284 Loss_D_real: -0.019058 Loss_D_fake 0.002485
[1150/5000][75/535][118564] Loss_D: -0.021409 Loss_G: 0.019353 Loss_D_real: -0.018694 Loss_D_fake 0.002715
[1150/5000][80/535][118565] Loss_D: -0.022746 Loss_G: 0.009007 Loss_D_real: -0.010765 Loss_D_fake 0.011980
[1150/5000][85/535][118566] Loss_D: -0.019754 Loss_G: 0.028563 Loss_D_real: -0.033941 Loss_D_fake -0.014187
[1150/5000][90/535][118567] Loss_D: -0.017338 Loss_G: 0.035599 Loss_D_real: -0.044840 Loss_D_fake -0.027501
[1150/5000][95/535][118568] Loss_D: -0.020553 Loss_G: -0.007363 Loss_D_real: -0.009628 Loss_D_fake 0.010925
[1150/5000][100/535][118569] Loss_D: -0.022253 Loss_G: -0.007772 Loss_D_real: -0.014761 Loss_D_fake 0.007492
[1150/5000][105/535][118570] Loss_D: -0.020399 Loss_G: 0.021560 Loss_D_real: -0.023647 Loss_D_fake -0.003248
[1150/5000][110/535][118571] Loss_D: -0.020509 Loss_G: -0.007706 Loss_D_real: -0.010638 Loss_D_fake 0.009871
[1150/5000][115/535][118572] Loss_D: -0.019860 Loss_G: 0.002289 Loss_D_real: -0.019013 Loss_D_fake 0.000847
[1150/5000][120/535][118573] Loss_D: -0.019321 Loss_G: 0.027536 Loss_D_real: -0.027894 Loss_D_fake -0.008572
[1150/5000][125/535][118574] Loss_D: -0.021334 Loss_G: 0.003623 Loss_D_real: -0.010187 Loss_D_fake 0.011146
[1150/5000][130/535][118575] Loss_D: -0.022250 Loss_G: -0.004689 Loss_D_real: -0.021270 Loss_D_fake 0.000981
[1150/5000][135/535][118576] Loss_D: -0.020864 Loss_G: 0.013557 Loss_D_real: -0.026280 Loss_D_fake -0.005416
[1150/5000][140/535][118577] Loss_D: -0.020097 Loss_G: 0.014797 Loss_D_real: -0.015458 Loss_D_fake 0.004640
[1150/5000][145/535][118578] Loss_D: -0.021316 Loss_G: 0.006720 Loss_D_real: -0.011135 Loss_D_fake 0.010180
[1150/5000][150/535][118579] Loss_D: -0.020960 Loss_G: -0.002513 Loss_D_real: -0.001908 Loss_D_fake 0.019052
[1150/5000][155/535][118580] Loss_D: -0.022065 Loss_G: 0.011423 Loss_D_real: -0.014595 Loss_D_fake 0.007471
[1150/5000][160/535][118581] Loss_D: -0.022157 Loss_G: 0.024620 Loss_D_real: -0.027927 Loss_D_fake -0.005770
[1150/5000][165/535][118582] Loss_D: -0.022753 Loss_G: 0.004332 Loss_D_real: -0.014207 Loss_D_fake 0.008546
[1150/5000][170/535][118583] Loss_D: -0.021263 Loss_G: 0.014862 Loss_D_real: -0.025623 Loss_D_fake -0.004360
[1150/5000][175/535][118584] Loss_D: -0.020915 Loss_G: 0.001768 Loss_D_real: -0.018150 Loss_D_fake 0.002764
[1150/5000][180/535][118585] Loss_D: -0.021827 Loss_G: 0.007146 Loss_D_real: -0.017066 Loss_D_fake 0.004760
[1150/5000][185/535][118586] Loss_D: -0.020591 Loss_G: 0.002162 Loss_D_real: -0.022064 Loss_D_fake -0.001473
[1150/5000][190/535][118587] Loss_D: -0.020754 Loss_G: 0.026223 Loss_D_real: -0.032994 Loss_D_fake -0.012241
[1150/5000][195/535][118588] Loss_D: -0.020568 Loss_G: 0.001931 Loss_D_real: -0.020944 Loss_D_fake -0.000376
[1150/5000][200/535][118589] Loss_D: -0.021776 Loss_G: 0.015032 Loss_D_real: -0.018866 Loss_D_fake 0.002910
[1150/5000][205/535][118590] Loss_D: -0.016666 Loss_G: 0.032074 Loss_D_real: -0.036749 Loss_D_fake -0.020083
[1150/5000][210/535][118591] Loss_D: -0.020284 Loss_G: 0.000972 Loss_D_real: -0.011068 Loss_D_fake 0.009216
[1150/5000][215/535][118592] Loss_D: -0.021374 Loss_G: 0.006510 Loss_D_real: -0.013518 Loss_D_fake 0.007856
[1150/5000][220/535][118593] Loss_D: -0.021212 Loss_G: -0.011658 Loss_D_real: -0.009624 Loss_D_fake 0.011588
[1150/5000][225/535][118594] Loss_D: -0.022299 Loss_G: 0.006049 Loss_D_real: -0.015228 Loss_D_fake 0.007071
[1150/5000][230/535][118595] Loss_D: -0.021188 Loss_G: 0.012650 Loss_D_real: -0.023095 Loss_D_fake -0.001907
[1150/5000][235/535][118596] Loss_D: -0.020886 Loss_G: -0.005631 Loss_D_real: -0.007344 Loss_D_fake 0.013542
[1150/5000][240/535][118597] Loss_D: -0.021500 Loss_G: 0.019843 Loss_D_real: -0.013550 Loss_D_fake 0.007950
[1150/5000][245/535][118598] Loss_D: -0.019888 Loss_G: 0.017168 Loss_D_real: -0.028077 Loss_D_fake -0.008188
[1150/5000][250/535][118599] Loss_D: -0.020883 Loss_G: 0.001072 Loss_D_real: -0.010519 Loss_D_fake 0.010364
[1150/5000][255/535][118600] Loss_D: -0.019898 Loss_G: 0.012029 Loss_D_real: -0.018089 Loss_D_fake 0.001810
[1150/5000][260/535][118601] Loss_D: -0.020425 Loss_G: -0.015104 Loss_D_real: -0.007049 Loss_D_fake 0.013376
[1150/5000][265/535][118602] Loss_D: -0.021140 Loss_G: 0.008652 Loss_D_real: -0.023802 Loss_D_fake -0.002662
[1150/5000][270/535][118603] Loss_D: -0.020747 Loss_G: 0.024002 Loss_D_real: -0.024906 Loss_D_fake -0.004159
[1150/5000][275/535][118604] Loss_D: -0.020619 Loss_G: 0.002730 Loss_D_real: -0.007530 Loss_D_fake 0.013089
[1150/5000][280/535][118605] Loss_D: -0.021781 Loss_G: -0.000787 Loss_D_real: 0.003768 Loss_D_fake 0.025549
[1150/5000][285/535][118606] Loss_D: -0.021638 Loss_G: 0.003310 Loss_D_real: -0.030029 Loss_D_fake -0.008391
[1150/5000][290/535][118607] Loss_D: -0.022008 Loss_G: 0.003423 Loss_D_real: -0.009220 Loss_D_fake 0.012789
[1150/5000][295/535][118608] Loss_D: -0.020541 Loss_G: 0.018143 Loss_D_real: -0.010967 Loss_D_fake 0.009574
[1150/5000][300/535][118609] Loss_D: -0.020543 Loss_G: -0.022131 Loss_D_real: -0.008109 Loss_D_fake 0.012435
[1150/5000][305/535][118610] Loss_D: -0.022367 Loss_G: 0.011204 Loss_D_real: -0.015542 Loss_D_fake 0.006826
[1150/5000][310/535][118611] Loss_D: -0.021139 Loss_G: 0.008357 Loss_D_real: -0.011339 Loss_D_fake 0.009800
[1150/5000][315/535][118612] Loss_D: -0.021938 Loss_G: 0.015291 Loss_D_real: -0.020065 Loss_D_fake 0.001873
[1150/5000][320/535][118613] Loss_D: -0.020599 Loss_G: 0.010763 Loss_D_real: -0.008699 Loss_D_fake 0.011901
[1150/5000][325/535][118614] Loss_D: -0.019004 Loss_G: 0.022788 Loss_D_real: -0.034633 Loss_D_fake -0.015629
[1150/5000][330/535][118615] Loss_D: -0.020946 Loss_G: 0.000372 Loss_D_real: -0.012548 Loss_D_fake 0.008399
[1150/5000][335/535][118616] Loss_D: -0.021666 Loss_G: 0.008905 Loss_D_real: -0.028004 Loss_D_fake -0.006339
[1150/5000][340/535][118617] Loss_D: -0.020783 Loss_G: 0.015998 Loss_D_real: -0.019329 Loss_D_fake 0.001453
[1150/5000][345/535][118618] Loss_D: -0.020072 Loss_G: 0.013355 Loss_D_real: -0.030812 Loss_D_fake -0.010739
[1150/5000][350/535][118619] Loss_D: -0.020725 Loss_G: -0.000704 Loss_D_real: -0.001191 Loss_D_fake 0.019534
[1150/5000][355/535][118620] Loss_D: -0.019718 Loss_G: 0.022375 Loss_D_real: -0.022750 Loss_D_fake -0.003032
[1150/5000][360/535][118621] Loss_D: -0.019965 Loss_G: 0.005191 Loss_D_real: -0.014288 Loss_D_fake 0.005677
[1150/5000][365/535][118622] Loss_D: -0.020044 Loss_G: 0.015258 Loss_D_real: -0.030180 Loss_D_fake -0.010136
[1150/5000][370/535][118623] Loss_D: -0.020496 Loss_G: -0.006263 Loss_D_real: -0.008920 Loss_D_fake 0.011576
[1150/5000][375/535][118624] Loss_D: -0.020528 Loss_G: 0.021541 Loss_D_real: -0.024743 Loss_D_fake -0.004215
[1150/5000][380/535][118625] Loss_D: -0.022584 Loss_G: -0.006707 Loss_D_real: -0.015005 Loss_D_fake 0.007579
[1150/5000][385/535][118626] Loss_D: -0.021240 Loss_G: -0.005013 Loss_D_real: -0.009420 Loss_D_fake 0.011820
[1150/5000][390/535][118627] Loss_D: -0.021177 Loss_G: 0.023835 Loss_D_real: -0.034176 Loss_D_fake -0.013000
[1150/5000][395/535][118628] Loss_D: -0.021718 Loss_G: 0.007169 Loss_D_real: -0.029046 Loss_D_fake -0.007328
[1150/5000][400/535][118629] Loss_D: -0.021426 Loss_G: 0.023064 Loss_D_real: -0.019306 Loss_D_fake 0.002120
[1150/5000][405/535][118630] Loss_D: -0.021698 Loss_G: 0.003820 Loss_D_real: -0.017424 Loss_D_fake 0.004274
[1150/5000][410/535][118631] Loss_D: -0.021262 Loss_G: -0.001080 Loss_D_real: -0.018855 Loss_D_fake 0.002407
[1150/5000][415/535][118632] Loss_D: -0.022099 Loss_G: 0.025559 Loss_D_real: -0.027038 Loss_D_fake -0.004940
[1150/5000][420/535][118633] Loss_D: -0.021542 Loss_G: 0.007698 Loss_D_real: -0.019596 Loss_D_fake 0.001947
[1150/5000][425/535][118634] Loss_D: -0.022055 Loss_G: 0.005278 Loss_D_real: -0.025454 Loss_D_fake -0.003398
[1150/5000][430/535][118635] Loss_D: -0.022380 Loss_G: 0.007329 Loss_D_real: -0.011506 Loss_D_fake 0.010874
[1150/5000][435/535][118636] Loss_D: -0.020960 Loss_G: 0.017755 Loss_D_real: -0.015022 Loss_D_fake 0.005938
[1150/5000][440/535][118637] Loss_D: -0.020077 Loss_G: 0.001347 Loss_D_real: -0.010705 Loss_D_fake 0.009372
[1150/5000][445/535][118638] Loss_D: -0.020330 Loss_G: 0.008632 Loss_D_real: -0.022563 Loss_D_fake -0.002233
[1150/5000][450/535][118639] Loss_D: -0.021155 Loss_G: -0.013937 Loss_D_real: 0.000638 Loss_D_fake 0.021793
[1150/5000][455/535][118640] Loss_D: -0.020615 Loss_G: 0.015770 Loss_D_real: -0.019209 Loss_D_fake 0.001406
[1150/5000][460/535][118641] Loss_D: -0.021140 Loss_G: -0.011755 Loss_D_real: -0.010283 Loss_D_fake 0.010857
[1150/5000][465/535][118642] Loss_D: -0.020693 Loss_G: 0.026580 Loss_D_real: -0.024053 Loss_D_fake -0.003360
[1150/5000][470/535][118643] Loss_D: -0.020725 Loss_G: 0.012647 Loss_D_real: -0.018499 Loss_D_fake 0.002226
[1150/5000][475/535][118644] Loss_D: -0.020377 Loss_G: 0.021760 Loss_D_real: -0.026080 Loss_D_fake -0.005703
[1150/5000][480/535][118645] Loss_D: -0.020024 Loss_G: 0.000325 Loss_D_real: -0.009170 Loss_D_fake 0.010854
[1150/5000][485/535][118646] Loss_D: -0.019704 Loss_G: 0.030998 Loss_D_real: -0.033164 Loss_D_fake -0.013460
[1150/5000][490/535][118647] Loss_D: -0.021051 Loss_G: 0.011553 Loss_D_real: -0.024454 Loss_D_fake -0.003403
[1150/5000][495/535][118648] Loss_D: -0.022580 Loss_G: 0.009600 Loss_D_real: -0.028143 Loss_D_fake -0.005564
[1150/5000][500/535][118649] Loss_D: -0.020477 Loss_G: 0.009125 Loss_D_real: -0.023593 Loss_D_fake -0.003116
[1150/5000][505/535][118650] Loss_D: -0.020214 Loss_G: 0.011853 Loss_D_real: -0.013377 Loss_D_fake 0.006837
[1150/5000][510/535][118651] Loss_D: -0.021053 Loss_G: 0.020070 Loss_D_real: -0.028984 Loss_D_fake -0.007931
[1150/5000][515/535][118652] Loss_D: -0.019632 Loss_G: 0.022560 Loss_D_real: -0.030844 Loss_D_fake -0.011212
[1150/5000][520/535][118653] Loss_D: -0.021098 Loss_G: 0.001103 Loss_D_real: -0.017992 Loss_D_fake 0.003106
[1150/5000][525/535][118654] Loss_D: -0.021641 Loss_G: 0.021420 Loss_D_real: -0.033507 Loss_D_fake -0.011867
[1150/5000][530/535][118655] Loss_D: -0.021970 Loss_G: -0.003065 Loss_D_real: -0.023539 Loss_D_fake -0.001569
[1150/5000][535/535][118656] Loss_D: -0.022533 Loss_G: -0.009739 Loss_D_real: -0.005835 Loss_D_fake 0.016698
[1151/5000][5/535][118657] Loss_D: -0.021142 Loss_G: 0.025470 Loss_D_real: -0.032076 Loss_D_fake -0.010933
[1151/5000][10/535][118658] Loss_D: -0.019735 Loss_G: -0.007005 Loss_D_real: -0.013453 Loss_D_fake 0.006282
[1151/5000][15/535][118659] Loss_D: -0.021933 Loss_G: 0.002448 Loss_D_real: -0.021590 Loss_D_fake 0.000343
[1151/5000][20/535][118660] Loss_D: -0.022004 Loss_G: 0.017780 Loss_D_real: -0.021761 Loss_D_fake 0.000243
[1151/5000][25/535][118661] Loss_D: -0.020359 Loss_G: 0.021394 Loss_D_real: -0.015303 Loss_D_fake 0.005055
[1151/5000][30/535][118662] Loss_D: -0.020042 Loss_G: 0.006243 Loss_D_real: -0.030104 Loss_D_fake -0.010061
[1151/5000][35/535][118663] Loss_D: -0.020881 Loss_G: 0.006569 Loss_D_real: -0.016567 Loss_D_fake 0.004314
[1151/5000][40/535][118664] Loss_D: -0.021718 Loss_G: -0.006383 Loss_D_real: -0.012535 Loss_D_fake 0.009183
[1151/5000][45/535][118665] Loss_D: -0.020149 Loss_G: 0.012539 Loss_D_real: -0.031562 Loss_D_fake -0.011413
[1151/5000][50/535][118666] Loss_D: -0.022054 Loss_G: 0.010347 Loss_D_real: -0.020564 Loss_D_fake 0.001491
[1151/5000][55/535][118667] Loss_D: -0.020092 Loss_G: 0.002732 Loss_D_real: -0.005596 Loss_D_fake 0.014495
[1151/5000][60/535][118668] Loss_D: -0.020986 Loss_G: 0.011074 Loss_D_real: -0.028809 Loss_D_fake -0.007823
[1151/5000][65/535][118669] Loss_D: -0.020759 Loss_G: 0.022744 Loss_D_real: -0.034905 Loss_D_fake -0.014145
[1151/5000][70/535][118670] Loss_D: -0.021820 Loss_G: 0.006038 Loss_D_real: -0.006816 Loss_D_fake 0.015003
[1151/5000][75/535][118671] Loss_D: -0.021696 Loss_G: 0.010893 Loss_D_real: -0.020699 Loss_D_fake 0.000997
[1151/5000][80/535][118672] Loss_D: -0.021877 Loss_G: 0.004342 Loss_D_real: -0.008865 Loss_D_fake 0.013013
[1151/5000][85/535][118673] Loss_D: -0.021386 Loss_G: 0.013388 Loss_D_real: -0.014395 Loss_D_fake 0.006991
[1151/5000][90/535][118674] Loss_D: -0.020675 Loss_G: -0.001873 Loss_D_real: -0.006134 Loss_D_fake 0.014541
[1151/5000][95/535][118675] Loss_D: -0.022072 Loss_G: 0.009646 Loss_D_real: -0.026347 Loss_D_fake -0.004275
[1151/5000][100/535][118676] Loss_D: -0.022677 Loss_G: 0.013151 Loss_D_real: -0.029000 Loss_D_fake -0.006323
[1151/5000][105/535][118677] Loss_D: -0.021268 Loss_G: 0.017092 Loss_D_real: -0.017897 Loss_D_fake 0.003371
[1151/5000][110/535][118678] Loss_D: -0.021679 Loss_G: 0.015400 Loss_D_real: -0.018261 Loss_D_fake 0.003417
[1151/5000][115/535][118679] Loss_D: -0.019857 Loss_G: 0.021502 Loss_D_real: -0.036238 Loss_D_fake -0.016381
[1151/5000][120/535][118680] Loss_D: -0.022286 Loss_G: 0.000383 Loss_D_real: -0.014030 Loss_D_fake 0.008257
[1151/5000][125/535][118681] Loss_D: -0.021506 Loss_G: 0.016595 Loss_D_real: -0.022686 Loss_D_fake -0.001180
[1151/5000][130/535][118682] Loss_D: -0.021079 Loss_G: -0.006965 Loss_D_real: -0.008895 Loss_D_fake 0.012184
[1151/5000][135/535][118683] Loss_D: -0.020992 Loss_G: 0.013765 Loss_D_real: -0.027357 Loss_D_fake -0.006365
[1151/5000][140/535][118684] Loss_D: -0.020546 Loss_G: 0.002526 Loss_D_real: -0.016032 Loss_D_fake 0.004514
[1151/5000][145/535][118685] Loss_D: -0.020452 Loss_G: 0.019927 Loss_D_real: -0.028365 Loss_D_fake -0.007913
[1151/5000][150/535][118686] Loss_D: -0.019701 Loss_G: -0.010486 Loss_D_real: 0.000312 Loss_D_fake 0.020013
[1151/5000][155/535][118687] Loss_D: -0.021249 Loss_G: 0.006470 Loss_D_real: -0.023319 Loss_D_fake -0.002070
[1151/5000][160/535][118688] Loss_D: -0.020777 Loss_G: -0.014941 Loss_D_real: -0.006630 Loss_D_fake 0.014147
[1151/5000][165/535][118689] Loss_D: -0.021378 Loss_G: -0.012803 Loss_D_real: -0.000304 Loss_D_fake 0.021074
[1151/5000][170/535][118690] Loss_D: -0.021648 Loss_G: 0.017275 Loss_D_real: -0.012011 Loss_D_fake 0.009636
[1151/5000][175/535][118691] Loss_D: -0.022690 Loss_G: 0.018048 Loss_D_real: -0.014228 Loss_D_fake 0.008462
[1151/5000][180/535][118692] Loss_D: -0.020745 Loss_G: 0.019876 Loss_D_real: -0.022626 Loss_D_fake -0.001881
[1151/5000][185/535][118693] Loss_D: -0.019410 Loss_G: 0.023152 Loss_D_real: -0.036832 Loss_D_fake -0.017421
[1151/5000][190/535][118694] Loss_D: -0.020725 Loss_G: 0.004156 Loss_D_real: -0.009081 Loss_D_fake 0.011644
[1151/5000][195/535][118695] Loss_D: -0.020021 Loss_G: -0.001121 Loss_D_real: -0.025507 Loss_D_fake -0.005486
[1151/5000][200/535][118696] Loss_D: -0.020801 Loss_G: 0.004411 Loss_D_real: -0.007659 Loss_D_fake 0.013142
[1151/5000][205/535][118697] Loss_D: -0.020899 Loss_G: 0.017497 Loss_D_real: -0.029307 Loss_D_fake -0.008409
[1151/5000][210/535][118698] Loss_D: -0.021491 Loss_G: 0.005621 Loss_D_real: -0.010440 Loss_D_fake 0.011051
[1151/5000][215/535][118699] Loss_D: -0.020525 Loss_G: 0.012959 Loss_D_real: -0.011124 Loss_D_fake 0.009401
[1151/5000][220/535][118700] Loss_D: -0.020646 Loss_G: 0.003299 Loss_D_real: -0.024146 Loss_D_fake -0.003500
[1151/5000][225/535][118701] Loss_D: -0.021642 Loss_G: -0.006030 Loss_D_real: -0.019690 Loss_D_fake 0.001952
[1151/5000][230/535][118702] Loss_D: -0.021330 Loss_G: -0.001984 Loss_D_real: -0.007939 Loss_D_fake 0.013391
[1151/5000][235/535][118703] Loss_D: -0.020907 Loss_G: 0.012757 Loss_D_real: -0.036671 Loss_D_fake -0.015763
[1151/5000][240/535][118704] Loss_D: -0.018940 Loss_G: 0.025193 Loss_D_real: -0.041182 Loss_D_fake -0.022242
[1151/5000][245/535][118705] Loss_D: -0.019986 Loss_G: -0.000788 Loss_D_real: -0.009376 Loss_D_fake 0.010610
[1151/5000][250/535][118706] Loss_D: -0.019712 Loss_G: 0.023475 Loss_D_real: -0.031966 Loss_D_fake -0.012254
[1151/5000][255/535][118707] Loss_D: -0.021023 Loss_G: -0.003988 Loss_D_real: -0.011500 Loss_D_fake 0.009523
[1151/5000][260/535][118708] Loss_D: -0.021092 Loss_G: 0.002770 Loss_D_real: -0.010363 Loss_D_fake 0.010729
[1151/5000][265/535][118709] Loss_D: -0.020357 Loss_G: -0.003822 Loss_D_real: -0.001801 Loss_D_fake 0.018556
[1151/5000][270/535][118710] Loss_D: -0.019593 Loss_G: 0.020659 Loss_D_real: -0.025730 Loss_D_fake -0.006138
[1151/5000][275/535][118711] Loss_D: -0.023292 Loss_G: 0.006104 Loss_D_real: -0.021287 Loss_D_fake 0.002005
[1151/5000][280/535][118712] Loss_D: -0.021267 Loss_G: 0.009497 Loss_D_real: -0.008008 Loss_D_fake 0.013259
[1151/5000][285/535][118713] Loss_D: -0.020672 Loss_G: 0.002751 Loss_D_real: -0.014351 Loss_D_fake 0.006320
[1151/5000][290/535][118714] Loss_D: -0.021853 Loss_G: 0.008558 Loss_D_real: -0.015966 Loss_D_fake 0.005888
[1151/5000][295/535][118715] Loss_D: -0.019944 Loss_G: -0.007880 Loss_D_real: -0.022803 Loss_D_fake -0.002858
[1151/5000][300/535][118716] Loss_D: -0.021094 Loss_G: 0.002367 Loss_D_real: -0.008647 Loss_D_fake 0.012446
[1151/5000][305/535][118717] Loss_D: -0.019907 Loss_G: 0.000715 Loss_D_real: -0.029716 Loss_D_fake -0.009810
[1151/5000][310/535][118718] Loss_D: -0.022161 Loss_G: 0.010668 Loss_D_real: -0.025929 Loss_D_fake -0.003768
[1151/5000][315/535][118719] Loss_D: -0.020246 Loss_G: -0.003432 Loss_D_real: -0.000597 Loss_D_fake 0.019649
[1151/5000][320/535][118720] Loss_D: -0.021914 Loss_G: 0.018880 Loss_D_real: -0.017129 Loss_D_fake 0.004785
[1151/5000][325/535][118721] Loss_D: -0.020773 Loss_G: 0.007072 Loss_D_real: -0.005447 Loss_D_fake 0.015325
[1151/5000][330/535][118722] Loss_D: -0.021082 Loss_G: 0.008705 Loss_D_real: -0.018393 Loss_D_fake 0.002689
[1151/5000][335/535][118723] Loss_D: -0.020317 Loss_G: 0.015521 Loss_D_real: -0.019444 Loss_D_fake 0.000874
[1151/5000][340/535][118724] Loss_D: -0.022083 Loss_G: 0.013657 Loss_D_real: -0.023336 Loss_D_fake -0.001253
[1151/5000][345/535][118725] Loss_D: -0.020823 Loss_G: 0.024056 Loss_D_real: -0.023791 Loss_D_fake -0.002968
[1151/5000][350/535][118726] Loss_D: -0.021577 Loss_G: -0.008923 Loss_D_real: -0.031124 Loss_D_fake -0.009547
[1151/5000][355/535][118727] Loss_D: -0.020303 Loss_G: 0.027204 Loss_D_real: -0.032850 Loss_D_fake -0.012546
[1151/5000][360/535][118728] Loss_D: -0.020172 Loss_G: -0.011530 Loss_D_real: -0.006855 Loss_D_fake 0.013317
[1151/5000][365/535][118729] Loss_D: -0.017855 Loss_G: 0.023258 Loss_D_real: -0.039136 Loss_D_fake -0.021281
[1151/5000][370/535][118730] Loss_D: -0.020054 Loss_G: -0.009574 Loss_D_real: -0.006311 Loss_D_fake 0.013743
[1151/5000][375/535][118731] Loss_D: -0.020187 Loss_G: 0.017243 Loss_D_real: -0.030426 Loss_D_fake -0.010239
[1151/5000][380/535][118732] Loss_D: -0.019874 Loss_G: -0.005098 Loss_D_real: 0.000601 Loss_D_fake 0.020475
[1151/5000][385/535][118733] Loss_D: -0.019760 Loss_G: 0.023776 Loss_D_real: -0.019170 Loss_D_fake 0.000590
[1151/5000][390/535][118734] Loss_D: -0.019620 Loss_G: -0.015914 Loss_D_real: 0.004265 Loss_D_fake 0.023886
[1151/5000][395/535][118735] Loss_D: -0.020492 Loss_G: 0.009569 Loss_D_real: -0.022650 Loss_D_fake -0.002158
[1151/5000][400/535][118736] Loss_D: -0.021364 Loss_G: 0.007637 Loss_D_real: -0.022718 Loss_D_fake -0.001354
[1151/5000][405/535][118737] Loss_D: -0.020726 Loss_G: 0.018089 Loss_D_real: -0.033338 Loss_D_fake -0.012612
[1151/5000][410/535][118738] Loss_D: -0.020084 Loss_G: 0.025098 Loss_D_real: -0.025887 Loss_D_fake -0.005804
[1151/5000][415/535][118739] Loss_D: -0.020271 Loss_G: 0.021951 Loss_D_real: -0.014856 Loss_D_fake 0.005415
[1151/5000][420/535][118740] Loss_D: -0.022111 Loss_G: -0.010930 Loss_D_real: -0.023229 Loss_D_fake -0.001117
[1151/5000][425/535][118741] Loss_D: -0.021007 Loss_G: 0.003132 Loss_D_real: -0.018361 Loss_D_fake 0.002646
[1151/5000][430/535][118742] Loss_D: -0.021088 Loss_G: 0.010203 Loss_D_real: -0.016117 Loss_D_fake 0.004971
[1151/5000][435/535][118743] Loss_D: -0.021360 Loss_G: 0.005617 Loss_D_real: -0.018512 Loss_D_fake 0.002848
[1151/5000][440/535][118744] Loss_D: -0.021384 Loss_G: 0.001051 Loss_D_real: -0.021423 Loss_D_fake -0.000039
[1151/5000][445/535][118745] Loss_D: -0.020923 Loss_G: 0.015387 Loss_D_real: -0.022833 Loss_D_fake -0.001910
[1151/5000][450/535][118746] Loss_D: -0.021368 Loss_G: -0.002073 Loss_D_real: -0.002324 Loss_D_fake 0.019044
[1151/5000][455/535][118747] Loss_D: -0.021922 Loss_G: -0.002274 Loss_D_real: -0.018460 Loss_D_fake 0.003462
[1151/5000][460/535][118748] Loss_D: -0.021275 Loss_G: 0.014330 Loss_D_real: -0.026214 Loss_D_fake -0.004939
[1151/5000][465/535][118749] Loss_D: -0.020712 Loss_G: 0.019214 Loss_D_real: -0.026338 Loss_D_fake -0.005626
[1151/5000][470/535][118750] Loss_D: -0.020635 Loss_G: 0.002777 Loss_D_real: -0.013218 Loss_D_fake 0.007417
[1151/5000][475/535][118751] Loss_D: -0.020634 Loss_G: -0.001153 Loss_D_real: -0.011891 Loss_D_fake 0.008743
[1151/5000][480/535][118752] Loss_D: -0.022028 Loss_G: 0.015973 Loss_D_real: -0.012474 Loss_D_fake 0.009554
[1151/5000][485/535][118753] Loss_D: -0.020711 Loss_G: -0.016286 Loss_D_real: -0.005202 Loss_D_fake 0.015509
[1151/5000][490/535][118754] Loss_D: -0.022024 Loss_G: 0.008588 Loss_D_real: -0.007144 Loss_D_fake 0.014880
[1151/5000][495/535][118755] Loss_D: -0.020663 Loss_G: 0.007582 Loss_D_real: -0.021877 Loss_D_fake -0.001214
[1151/5000][500/535][118756] Loss_D: -0.020635 Loss_G: 0.003049 Loss_D_real: -0.018101 Loss_D_fake 0.002534
[1151/5000][505/535][118757] Loss_D: -0.019941 Loss_G: -0.003448 Loss_D_real: -0.000633 Loss_D_fake 0.019308
[1151/5000][510/535][118758] Loss_D: -0.021546 Loss_G: 0.013933 Loss_D_real: -0.017699 Loss_D_fake 0.003847
[1151/5000][515/535][118759] Loss_D: -0.019945 Loss_G: 0.011572 Loss_D_real: -0.028815 Loss_D_fake -0.008871
[1151/5000][520/535][118760] Loss_D: -0.022910 Loss_G: 0.010699 Loss_D_real: -0.025180 Loss_D_fake -0.002270
[1151/5000][525/535][118761] Loss_D: -0.020626 Loss_G: 0.029104 Loss_D_real: -0.026289 Loss_D_fake -0.005663
[1151/5000][530/535][118762] Loss_D: -0.020178 Loss_G: -0.014164 Loss_D_real: -0.010724 Loss_D_fake 0.009453
[1151/5000][535/535][118763] Loss_D: -0.019978 Loss_G: -0.011827 Loss_D_real: -0.018263 Loss_D_fake 0.001714
[1152/5000][5/535][118764] Loss_D: -0.021326 Loss_G: -0.014696 Loss_D_real: -0.008644 Loss_D_fake 0.012682
[1152/5000][10/535][118765] Loss_D: -0.017880 Loss_G: 0.027798 Loss_D_real: -0.034017 Loss_D_fake -0.016138
[1152/5000][15/535][118766] Loss_D: -0.021541 Loss_G: 0.020561 Loss_D_real: -0.013481 Loss_D_fake 0.008060
[1152/5000][20/535][118767] Loss_D: -0.021380 Loss_G: 0.016502 Loss_D_real: -0.013950 Loss_D_fake 0.007429
[1152/5000][25/535][118768] Loss_D: -0.020944 Loss_G: 0.007610 Loss_D_real: -0.022066 Loss_D_fake -0.001122
[1152/5000][30/535][118769] Loss_D: -0.020900 Loss_G: -0.003760 Loss_D_real: -0.018113 Loss_D_fake 0.002788
[1152/5000][35/535][118770] Loss_D: -0.019334 Loss_G: 0.020248 Loss_D_real: -0.038390 Loss_D_fake -0.019056
[1152/5000][40/535][118771] Loss_D: -0.021288 Loss_G: 0.017305 Loss_D_real: -0.023093 Loss_D_fake -0.001805
[1152/5000][45/535][118772] Loss_D: -0.021375 Loss_G: 0.012948 Loss_D_real: -0.030465 Loss_D_fake -0.009089
[1152/5000][50/535][118773] Loss_D: -0.020731 Loss_G: -0.001364 Loss_D_real: -0.007955 Loss_D_fake 0.012775
[1152/5000][55/535][118774] Loss_D: -0.021180 Loss_G: 0.013743 Loss_D_real: -0.023979 Loss_D_fake -0.002799
[1152/5000][60/535][118775] Loss_D: -0.021802 Loss_G: 0.003387 Loss_D_real: -0.019661 Loss_D_fake 0.002141
[1152/5000][65/535][118776] Loss_D: -0.021212 Loss_G: -0.015090 Loss_D_real: -0.004707 Loss_D_fake 0.016505
[1152/5000][70/535][118777] Loss_D: -0.020374 Loss_G: 0.005957 Loss_D_real: -0.017536 Loss_D_fake 0.002838
[1152/5000][75/535][118778] Loss_D: -0.020408 Loss_G: 0.033616 Loss_D_real: -0.028604 Loss_D_fake -0.008196
[1152/5000][80/535][118779] Loss_D: -0.021090 Loss_G: 0.007735 Loss_D_real: -0.008412 Loss_D_fake 0.012678
[1152/5000][85/535][118780] Loss_D: -0.020760 Loss_G: 0.006739 Loss_D_real: -0.027747 Loss_D_fake -0.006987
[1152/5000][90/535][118781] Loss_D: -0.021203 Loss_G: 0.026505 Loss_D_real: -0.024479 Loss_D_fake -0.003276
[1152/5000][95/535][118782] Loss_D: -0.020443 Loss_G: 0.003185 Loss_D_real: -0.021807 Loss_D_fake -0.001364
[1152/5000][100/535][118783] Loss_D: -0.020900 Loss_G: -0.010070 Loss_D_real: -0.012930 Loss_D_fake 0.007969
[1152/5000][105/535][118784] Loss_D: -0.020322 Loss_G: -0.006988 Loss_D_real: 0.002581 Loss_D_fake 0.022903
[1152/5000][110/535][118785] Loss_D: -0.020065 Loss_G: 0.012251 Loss_D_real: -0.038357 Loss_D_fake -0.018293
[1152/5000][115/535][118786] Loss_D: -0.020294 Loss_G: -0.004091 Loss_D_real: -0.001039 Loss_D_fake 0.019254
[1152/5000][120/535][118787] Loss_D: -0.020645 Loss_G: 0.011069 Loss_D_real: -0.017953 Loss_D_fake 0.002692
[1152/5000][125/535][118788] Loss_D: -0.020618 Loss_G: 0.008987 Loss_D_real: -0.020501 Loss_D_fake 0.000117
[1152/5000][130/535][118789] Loss_D: -0.020513 Loss_G: 0.010411 Loss_D_real: -0.003593 Loss_D_fake 0.016920
[1152/5000][135/535][118790] Loss_D: -0.021026 Loss_G: 0.016067 Loss_D_real: -0.024174 Loss_D_fake -0.003148
[1152/5000][140/535][118791] Loss_D: -0.020107 Loss_G: -0.011169 Loss_D_real: -0.009183 Loss_D_fake 0.010924
[1152/5000][145/535][118792] Loss_D: -0.018382 Loss_G: 0.027073 Loss_D_real: -0.038269 Loss_D_fake -0.019887
[1152/5000][150/535][118793] Loss_D: -0.020010 Loss_G: 0.001963 Loss_D_real: -0.013085 Loss_D_fake 0.006925
[1152/5000][155/535][118794] Loss_D: -0.020489 Loss_G: 0.009765 Loss_D_real: -0.027030 Loss_D_fake -0.006541
[1152/5000][160/535][118795] Loss_D: -0.020901 Loss_G: 0.023463 Loss_D_real: -0.020291 Loss_D_fake 0.000610
[1152/5000][165/535][118796] Loss_D: -0.020952 Loss_G: -0.002564 Loss_D_real: -0.008367 Loss_D_fake 0.012586
[1152/5000][170/535][118797] Loss_D: -0.021232 Loss_G: 0.021267 Loss_D_real: -0.027278 Loss_D_fake -0.006046
[1152/5000][175/535][118798] Loss_D: -0.022199 Loss_G: 0.003794 Loss_D_real: -0.024513 Loss_D_fake -0.002314
[1152/5000][180/535][118799] Loss_D: -0.021747 Loss_G: 0.013981 Loss_D_real: -0.008655 Loss_D_fake 0.013092
[1152/5000][185/535][118800] Loss_D: -0.020059 Loss_G: 0.016386 Loss_D_real: -0.014909 Loss_D_fake 0.005150
[1152/5000][190/535][118801] Loss_D: -0.020784 Loss_G: 0.009258 Loss_D_real: -0.015223 Loss_D_fake 0.005562
[1152/5000][195/535][118802] Loss_D: -0.021618 Loss_G: 0.010585 Loss_D_real: -0.018622 Loss_D_fake 0.002996
[1152/5000][200/535][118803] Loss_D: -0.019996 Loss_G: 0.011359 Loss_D_real: -0.024705 Loss_D_fake -0.004709
[1152/5000][205/535][118804] Loss_D: -0.021085 Loss_G: -0.024770 Loss_D_real: -0.003162 Loss_D_fake 0.017923
[1152/5000][210/535][118805] Loss_D: -0.020558 Loss_G: 0.021562 Loss_D_real: -0.032137 Loss_D_fake -0.011580
[1152/5000][215/535][118806] Loss_D: -0.021621 Loss_G: -0.011494 Loss_D_real: -0.002967 Loss_D_fake 0.018654
[1152/5000][220/535][118807] Loss_D: -0.021162 Loss_G: 0.008960 Loss_D_real: -0.017713 Loss_D_fake 0.003450
[1152/5000][225/535][118808] Loss_D: -0.021027 Loss_G: -0.009648 Loss_D_real: -0.013708 Loss_D_fake 0.007319
[1152/5000][230/535][118809] Loss_D: -0.020257 Loss_G: 0.010105 Loss_D_real: -0.028544 Loss_D_fake -0.008287
[1152/5000][235/535][118810] Loss_D: -0.020441 Loss_G: 0.021776 Loss_D_real: -0.031840 Loss_D_fake -0.011398
[1152/5000][240/535][118811] Loss_D: -0.021000 Loss_G: 0.013004 Loss_D_real: -0.015612 Loss_D_fake 0.005388
[1152/5000][245/535][118812] Loss_D: -0.020791 Loss_G: -0.002534 Loss_D_real: -0.010346 Loss_D_fake 0.010445
[1152/5000][250/535][118813] Loss_D: -0.020343 Loss_G: 0.001057 Loss_D_real: -0.012026 Loss_D_fake 0.008317
[1152/5000][255/535][118814] Loss_D: -0.019930 Loss_G: -0.004193 Loss_D_real: -0.011113 Loss_D_fake 0.008817
[1152/5000][260/535][118815] Loss_D: -0.020657 Loss_G: -0.001049 Loss_D_real: -0.007180 Loss_D_fake 0.013478
[1152/5000][265/535][118816] Loss_D: -0.020692 Loss_G: 0.015296 Loss_D_real: -0.011900 Loss_D_fake 0.008792
[1152/5000][270/535][118817] Loss_D: -0.021072 Loss_G: 0.002586 Loss_D_real: -0.017456 Loss_D_fake 0.003616
[1152/5000][275/535][118818] Loss_D: -0.019714 Loss_G: 0.007689 Loss_D_real: -0.025393 Loss_D_fake -0.005679
[1152/5000][280/535][118819] Loss_D: -0.019424 Loss_G: -0.003972 Loss_D_real: -0.007663 Loss_D_fake 0.011761
[1152/5000][285/535][118820] Loss_D: -0.020347 Loss_G: 0.009818 Loss_D_real: -0.016911 Loss_D_fake 0.003435
[1152/5000][290/535][118821] Loss_D: -0.021707 Loss_G: 0.008902 Loss_D_real: -0.025923 Loss_D_fake -0.004216
[1152/5000][295/535][118822] Loss_D: -0.022464 Loss_G: 0.017438 Loss_D_real: -0.025206 Loss_D_fake -0.002741
[1152/5000][300/535][118823] Loss_D: -0.022070 Loss_G: 0.014355 Loss_D_real: -0.025362 Loss_D_fake -0.003291
[1152/5000][305/535][118824] Loss_D: -0.020689 Loss_G: -0.015450 Loss_D_real: 0.001150 Loss_D_fake 0.021839
[1152/5000][310/535][118825] Loss_D: -0.020218 Loss_G: 0.004646 Loss_D_real: -0.019858 Loss_D_fake 0.000360
[1152/5000][315/535][118826] Loss_D: -0.021496 Loss_G: 0.003277 Loss_D_real: -0.016710 Loss_D_fake 0.004786
[1152/5000][320/535][118827] Loss_D: -0.020911 Loss_G: 0.021475 Loss_D_real: -0.029278 Loss_D_fake -0.008367
[1152/5000][325/535][118828] Loss_D: -0.020789 Loss_G: -0.003190 Loss_D_real: -0.003165 Loss_D_fake 0.017624
[1152/5000][330/535][118829] Loss_D: -0.020942 Loss_G: 0.007049 Loss_D_real: -0.026132 Loss_D_fake -0.005190
[1152/5000][335/535][118830] Loss_D: -0.022546 Loss_G: 0.021029 Loss_D_real: -0.016462 Loss_D_fake 0.006084
[1152/5000][340/535][118831] Loss_D: -0.020309 Loss_G: 0.021486 Loss_D_real: -0.017899 Loss_D_fake 0.002410
[1152/5000][345/535][118832] Loss_D: -0.020987 Loss_G: 0.002426 Loss_D_real: -0.017387 Loss_D_fake 0.003600
[1152/5000][350/535][118833] Loss_D: -0.020830 Loss_G: 0.003677 Loss_D_real: -0.020503 Loss_D_fake 0.000326
[1152/5000][355/535][118834] Loss_D: -0.021101 Loss_G: 0.015976 Loss_D_real: -0.036404 Loss_D_fake -0.015303
[1152/5000][360/535][118835] Loss_D: -0.021686 Loss_G: 0.033252 Loss_D_real: -0.023782 Loss_D_fake -0.002097
[1152/5000][365/535][118836] Loss_D: -0.021824 Loss_G: 0.005982 Loss_D_real: -0.023362 Loss_D_fake -0.001539
[1152/5000][370/535][118837] Loss_D: -0.022117 Loss_G: 0.010055 Loss_D_real: -0.028709 Loss_D_fake -0.006592
[1152/5000][375/535][118838] Loss_D: -0.021293 Loss_G: 0.025006 Loss_D_real: -0.029798 Loss_D_fake -0.008505
[1152/5000][380/535][118839] Loss_D: -0.021436 Loss_G: 0.001660 Loss_D_real: -0.028144 Loss_D_fake -0.006708
[1152/5000][385/535][118840] Loss_D: -0.021151 Loss_G: 0.016497 Loss_D_real: -0.019203 Loss_D_fake 0.001948
[1152/5000][390/535][118841] Loss_D: -0.021330 Loss_G: 0.017225 Loss_D_real: -0.023074 Loss_D_fake -0.001744
[1152/5000][395/535][118842] Loss_D: -0.021053 Loss_G: -0.001996 Loss_D_real: -0.014708 Loss_D_fake 0.006345
[1152/5000][400/535][118843] Loss_D: -0.019656 Loss_G: -0.014090 Loss_D_real: 0.000290 Loss_D_fake 0.019946
[1152/5000][405/535][118844] Loss_D: -0.020413 Loss_G: 0.007762 Loss_D_real: -0.019488 Loss_D_fake 0.000925
[1152/5000][410/535][118845] Loss_D: -0.019406 Loss_G: 0.017411 Loss_D_real: -0.020547 Loss_D_fake -0.001141
[1152/5000][415/535][118846] Loss_D: -0.020605 Loss_G: 0.016497 Loss_D_real: -0.033624 Loss_D_fake -0.013019
[1152/5000][420/535][118847] Loss_D: -0.022065 Loss_G: 0.012781 Loss_D_real: -0.019149 Loss_D_fake 0.002916
[1152/5000][425/535][118848] Loss_D: -0.021744 Loss_G: 0.012740 Loss_D_real: -0.024350 Loss_D_fake -0.002606
[1152/5000][430/535][118849] Loss_D: -0.020146 Loss_G: -0.020474 Loss_D_real: -0.003523 Loss_D_fake 0.016623
[1152/5000][435/535][118850] Loss_D: -0.019879 Loss_G: 0.017689 Loss_D_real: -0.021867 Loss_D_fake -0.001988
[1152/5000][440/535][118851] Loss_D: -0.020618 Loss_G: -0.002792 Loss_D_real: -0.010707 Loss_D_fake 0.009911
[1152/5000][445/535][118852] Loss_D: -0.020810 Loss_G: 0.013986 Loss_D_real: -0.018154 Loss_D_fake 0.002655
[1152/5000][450/535][118853] Loss_D: -0.021366 Loss_G: 0.010016 Loss_D_real: -0.013615 Loss_D_fake 0.007751
[1152/5000][455/535][118854] Loss_D: -0.020178 Loss_G: -0.004606 Loss_D_real: -0.014450 Loss_D_fake 0.005728
[1152/5000][460/535][118855] Loss_D: -0.021062 Loss_G: 0.002864 Loss_D_real: -0.014121 Loss_D_fake 0.006942
[1152/5000][465/535][118856] Loss_D: -0.019739 Loss_G: 0.016195 Loss_D_real: -0.035378 Loss_D_fake -0.015640
[1152/5000][470/535][118857] Loss_D: -0.020953 Loss_G: 0.003706 Loss_D_real: -0.011002 Loss_D_fake 0.009950
[1152/5000][475/535][118858] Loss_D: -0.021297 Loss_G: 0.017289 Loss_D_real: -0.024804 Loss_D_fake -0.003506
[1152/5000][480/535][118859] Loss_D: -0.020150 Loss_G: -0.003849 Loss_D_real: -0.003492 Loss_D_fake 0.016658
[1152/5000][485/535][118860] Loss_D: -0.020793 Loss_G: 0.002246 Loss_D_real: -0.015523 Loss_D_fake 0.005269
[1152/5000][490/535][118861] Loss_D: -0.020418 Loss_G: 0.014178 Loss_D_real: -0.018330 Loss_D_fake 0.002089
[1152/5000][495/535][118862] Loss_D: -0.021698 Loss_G: -0.012323 Loss_D_real: -0.009683 Loss_D_fake 0.012015
[1152/5000][500/535][118863] Loss_D: -0.021674 Loss_G: 0.008519 Loss_D_real: -0.026675 Loss_D_fake -0.005001
[1152/5000][505/535][118864] Loss_D: -0.021542 Loss_G: 0.002619 Loss_D_real: -0.007225 Loss_D_fake 0.014317
[1152/5000][510/535][118865] Loss_D: -0.020877 Loss_G: -0.006861 Loss_D_real: -0.005130 Loss_D_fake 0.015747
[1152/5000][515/535][118866] Loss_D: -0.020455 Loss_G: 0.017023 Loss_D_real: -0.024239 Loss_D_fake -0.003784
[1152/5000][520/535][118867] Loss_D: -0.020977 Loss_G: 0.026635 Loss_D_real: -0.028380 Loss_D_fake -0.007403
[1152/5000][525/535][118868] Loss_D: -0.020555 Loss_G: 0.004689 Loss_D_real: -0.026500 Loss_D_fake -0.005945
[1152/5000][530/535][118869] Loss_D: -0.021251 Loss_G: -0.003018 Loss_D_real: -0.007951 Loss_D_fake 0.013300
[1152/5000][535/535][118870] Loss_D: -0.022784 Loss_G: 0.024245 Loss_D_real: -0.022414 Loss_D_fake 0.000370
[1153/5000][5/535][118871] Loss_D: -0.021394 Loss_G: 0.017833 Loss_D_real: -0.022814 Loss_D_fake -0.001420
[1153/5000][10/535][118872] Loss_D: -0.021300 Loss_G: 0.005310 Loss_D_real: -0.015757 Loss_D_fake 0.005543
[1153/5000][15/535][118873] Loss_D: -0.020359 Loss_G: 0.002252 Loss_D_real: -0.002119 Loss_D_fake 0.018240
[1153/5000][20/535][118874] Loss_D: -0.020457 Loss_G: -0.005636 Loss_D_real: -0.000391 Loss_D_fake 0.020065
[1153/5000][25/535][118875] Loss_D: -0.022120 Loss_G: 0.017385 Loss_D_real: -0.020575 Loss_D_fake 0.001545
[1153/5000][30/535][118876] Loss_D: -0.021579 Loss_G: -0.009433 Loss_D_real: -0.015292 Loss_D_fake 0.006286
[1153/5000][35/535][118877] Loss_D: -0.021153 Loss_G: 0.021412 Loss_D_real: -0.028304 Loss_D_fake -0.007151
[1153/5000][40/535][118878] Loss_D: -0.021574 Loss_G: 0.013158 Loss_D_real: -0.024895 Loss_D_fake -0.003321
[1153/5000][45/535][118879] Loss_D: -0.020950 Loss_G: 0.017704 Loss_D_real: -0.031954 Loss_D_fake -0.011003
[1153/5000][50/535][118880] Loss_D: -0.021151 Loss_G: -0.003164 Loss_D_real: -0.004523 Loss_D_fake 0.016628
[1153/5000][55/535][118881] Loss_D: -0.021547 Loss_G: -0.006494 Loss_D_real: -0.009648 Loss_D_fake 0.011899
[1153/5000][60/535][118882] Loss_D: -0.020920 Loss_G: 0.002890 Loss_D_real: -0.031085 Loss_D_fake -0.010165
[1153/5000][65/535][118883] Loss_D: -0.021213 Loss_G: -0.003215 Loss_D_real: -0.014195 Loss_D_fake 0.007018
[1153/5000][70/535][118884] Loss_D: -0.020864 Loss_G: 0.004196 Loss_D_real: -0.023509 Loss_D_fake -0.002645
[1153/5000][75/535][118885] Loss_D: -0.020633 Loss_G: 0.017549 Loss_D_real: -0.012857 Loss_D_fake 0.007776
[1153/5000][80/535][118886] Loss_D: -0.020133 Loss_G: -0.008124 Loss_D_real: -0.009437 Loss_D_fake 0.010695
[1153/5000][85/535][118887] Loss_D: -0.021199 Loss_G: 0.022445 Loss_D_real: -0.020165 Loss_D_fake 0.001035
[1153/5000][90/535][118888] Loss_D: -0.020999 Loss_G: 0.008582 Loss_D_real: -0.016729 Loss_D_fake 0.004271
[1153/5000][95/535][118889] Loss_D: -0.020696 Loss_G: 0.026362 Loss_D_real: -0.029178 Loss_D_fake -0.008482
[1153/5000][100/535][118890] Loss_D: -0.023050 Loss_G: 0.014342 Loss_D_real: -0.027406 Loss_D_fake -0.004356
[1153/5000][105/535][118891] Loss_D: -0.018781 Loss_G: 0.014499 Loss_D_real: -0.025583 Loss_D_fake -0.006801
[1153/5000][110/535][118892] Loss_D: -0.021969 Loss_G: 0.003796 Loss_D_real: -0.011148 Loss_D_fake 0.010821
[1153/5000][115/535][118893] Loss_D: -0.021901 Loss_G: 0.006303 Loss_D_real: -0.023829 Loss_D_fake -0.001928
[1153/5000][120/535][118894] Loss_D: -0.021658 Loss_G: -0.010067 Loss_D_real: -0.002742 Loss_D_fake 0.018916
[1153/5000][125/535][118895] Loss_D: -0.020079 Loss_G: 0.003800 Loss_D_real: -0.017488 Loss_D_fake 0.002590
[1153/5000][130/535][118896] Loss_D: -0.019531 Loss_G: 0.006285 Loss_D_real: -0.017586 Loss_D_fake 0.001945
[1153/5000][135/535][118897] Loss_D: -0.019970 Loss_G: 0.026129 Loss_D_real: -0.029089 Loss_D_fake -0.009119
[1153/5000][140/535][118898] Loss_D: -0.020769 Loss_G: -0.007845 Loss_D_real: 0.003340 Loss_D_fake 0.024109
[1153/5000][145/535][118899] Loss_D: -0.020043 Loss_G: -0.002008 Loss_D_real: -0.013007 Loss_D_fake 0.007035
[1153/5000][150/535][118900] Loss_D: -0.020471 Loss_G: -0.005334 Loss_D_real: -0.020486 Loss_D_fake -0.000016
[1153/5000][155/535][118901] Loss_D: -0.022487 Loss_G: -0.004992 Loss_D_real: -0.015998 Loss_D_fake 0.006489
[1153/5000][160/535][118902] Loss_D: -0.022437 Loss_G: 0.005439 Loss_D_real: -0.008465 Loss_D_fake 0.013973
[1153/5000][165/535][118903] Loss_D: -0.020497 Loss_G: -0.000299 Loss_D_real: -0.014147 Loss_D_fake 0.006350
[1153/5000][170/535][118904] Loss_D: -0.019964 Loss_G: -0.005964 Loss_D_real: -0.008113 Loss_D_fake 0.011850
[1153/5000][175/535][118905] Loss_D: -0.021488 Loss_G: 0.022928 Loss_D_real: -0.019501 Loss_D_fake 0.001987
[1153/5000][180/535][118906] Loss_D: -0.021245 Loss_G: -0.004459 Loss_D_real: -0.012465 Loss_D_fake 0.008780
[1153/5000][185/535][118907] Loss_D: -0.021187 Loss_G: 0.002104 Loss_D_real: -0.021189 Loss_D_fake -0.000002
[1153/5000][190/535][118908] Loss_D: -0.021768 Loss_G: 0.029428 Loss_D_real: -0.022740 Loss_D_fake -0.000972
[1153/5000][195/535][118909] Loss_D: -0.020575 Loss_G: -0.001130 Loss_D_real: -0.011481 Loss_D_fake 0.009093
[1153/5000][200/535][118910] Loss_D: -0.019630 Loss_G: 0.019387 Loss_D_real: -0.017225 Loss_D_fake 0.002405
[1153/5000][205/535][118911] Loss_D: -0.021114 Loss_G: -0.006060 Loss_D_real: -0.023609 Loss_D_fake -0.002495
[1153/5000][210/535][118912] Loss_D: -0.022171 Loss_G: -0.001683 Loss_D_real: -0.002512 Loss_D_fake 0.019659
[1153/5000][215/535][118913] Loss_D: -0.021374 Loss_G: 0.005642 Loss_D_real: -0.012426 Loss_D_fake 0.008948
[1153/5000][220/535][118914] Loss_D: -0.019723 Loss_G: 0.024779 Loss_D_real: -0.027860 Loss_D_fake -0.008138
[1153/5000][225/535][118915] Loss_D: -0.020334 Loss_G: -0.004926 Loss_D_real: 0.000798 Loss_D_fake 0.021132
[1153/5000][230/535][118916] Loss_D: -0.020739 Loss_G: 0.007346 Loss_D_real: -0.018619 Loss_D_fake 0.002120
[1153/5000][235/535][118917] Loss_D: -0.019612 Loss_G: -0.015174 Loss_D_real: -0.003355 Loss_D_fake 0.016257
[1153/5000][240/535][118918] Loss_D: -0.022077 Loss_G: 0.005619 Loss_D_real: -0.013232 Loss_D_fake 0.008845
[1153/5000][245/535][118919] Loss_D: -0.019528 Loss_G: 0.008848 Loss_D_real: -0.020464 Loss_D_fake -0.000936
[1153/5000][250/535][118920] Loss_D: -0.020974 Loss_G: 0.011556 Loss_D_real: -0.026821 Loss_D_fake -0.005847
[1153/5000][255/535][118921] Loss_D: -0.020107 Loss_G: 0.027710 Loss_D_real: -0.037818 Loss_D_fake -0.017711
[1153/5000][260/535][118922] Loss_D: -0.020596 Loss_G: 0.014135 Loss_D_real: -0.029867 Loss_D_fake -0.009271
[1153/5000][265/535][118923] Loss_D: -0.021913 Loss_G: -0.001487 Loss_D_real: -0.016237 Loss_D_fake 0.005675
[1153/5000][270/535][118924] Loss_D: -0.021378 Loss_G: 0.013015 Loss_D_real: -0.026988 Loss_D_fake -0.005610
[1153/5000][275/535][118925] Loss_D: -0.021472 Loss_G: 0.014197 Loss_D_real: -0.021033 Loss_D_fake 0.000439
[1153/5000][280/535][118926] Loss_D: -0.021441 Loss_G: 0.016671 Loss_D_real: -0.025439 Loss_D_fake -0.003998
[1153/5000][285/535][118927] Loss_D: -0.021886 Loss_G: 0.001774 Loss_D_real: -0.012812 Loss_D_fake 0.009074
[1153/5000][290/535][118928] Loss_D: -0.020981 Loss_G: 0.021096 Loss_D_real: -0.022366 Loss_D_fake -0.001385
[1153/5000][295/535][118929] Loss_D: -0.020818 Loss_G: 0.000134 Loss_D_real: -0.022903 Loss_D_fake -0.002085
[1153/5000][300/535][118930] Loss_D: -0.021217 Loss_G: 0.013814 Loss_D_real: -0.025572 Loss_D_fake -0.004356
[1153/5000][305/535][118931] Loss_D: -0.019469 Loss_G: -0.016572 Loss_D_real: -0.000427 Loss_D_fake 0.019042
[1153/5000][310/535][118932] Loss_D: -0.021557 Loss_G: 0.009250 Loss_D_real: -0.008466 Loss_D_fake 0.013091
[1153/5000][315/535][118933] Loss_D: -0.022013 Loss_G: 0.011989 Loss_D_real: -0.031643 Loss_D_fake -0.009631
[1153/5000][320/535][118934] Loss_D: -0.023241 Loss_G: 0.004577 Loss_D_real: -0.016700 Loss_D_fake 0.006541
[1153/5000][325/535][118935] Loss_D: -0.021457 Loss_G: -0.000504 Loss_D_real: -0.017118 Loss_D_fake 0.004338
[1153/5000][330/535][118936] Loss_D: -0.021441 Loss_G: 0.015219 Loss_D_real: -0.023093 Loss_D_fake -0.001652
[1153/5000][335/535][118937] Loss_D: -0.021802 Loss_G: 0.002616 Loss_D_real: -0.015587 Loss_D_fake 0.006215
[1153/5000][340/535][118938] Loss_D: -0.022070 Loss_G: 0.001291 Loss_D_real: -0.011088 Loss_D_fake 0.010982
[1153/5000][345/535][118939] Loss_D: -0.020995 Loss_G: -0.000277 Loss_D_real: -0.018904 Loss_D_fake 0.002090
[1153/5000][350/535][118940] Loss_D: -0.019997 Loss_G: 0.016253 Loss_D_real: -0.022817 Loss_D_fake -0.002819
[1153/5000][355/535][118941] Loss_D: -0.021265 Loss_G: -0.005627 Loss_D_real: -0.009361 Loss_D_fake 0.011905
[1153/5000][360/535][118942] Loss_D: -0.019877 Loss_G: -0.001207 Loss_D_real: -0.017619 Loss_D_fake 0.002258
[1153/5000][365/535][118943] Loss_D: -0.020494 Loss_G: -0.003304 Loss_D_real: -0.007226 Loss_D_fake 0.013268
[1153/5000][370/535][118944] Loss_D: -0.020154 Loss_G: 0.005200 Loss_D_real: -0.027102 Loss_D_fake -0.006948
[1153/5000][375/535][118945] Loss_D: -0.019056 Loss_G: -0.016995 Loss_D_real: 0.011372 Loss_D_fake 0.030429
[1153/5000][380/535][118946] Loss_D: -0.020505 Loss_G: 0.006838 Loss_D_real: -0.014987 Loss_D_fake 0.005518
[1153/5000][385/535][118947] Loss_D: -0.019890 Loss_G: -0.013762 Loss_D_real: 0.010719 Loss_D_fake 0.030609
[1153/5000][390/535][118948] Loss_D: -0.022188 Loss_G: 0.023782 Loss_D_real: -0.017795 Loss_D_fake 0.004393
[1153/5000][395/535][118949] Loss_D: -0.021756 Loss_G: -0.007791 Loss_D_real: -0.013524 Loss_D_fake 0.008232
[1153/5000][400/535][118950] Loss_D: -0.021657 Loss_G: 0.002137 Loss_D_real: -0.007718 Loss_D_fake 0.013939
[1153/5000][405/535][118951] Loss_D: -0.020835 Loss_G: 0.004212 Loss_D_real: -0.008360 Loss_D_fake 0.012475
[1153/5000][410/535][118952] Loss_D: -0.020576 Loss_G: 0.014602 Loss_D_real: -0.025222 Loss_D_fake -0.004647
[1153/5000][415/535][118953] Loss_D: -0.021751 Loss_G: 0.004214 Loss_D_real: -0.015910 Loss_D_fake 0.005841
[1153/5000][420/535][118954] Loss_D: -0.020011 Loss_G: 0.004717 Loss_D_real: -0.009306 Loss_D_fake 0.010705
[1153/5000][425/535][118955] Loss_D: -0.020952 Loss_G: 0.023386 Loss_D_real: -0.027313 Loss_D_fake -0.006361
[1153/5000][430/535][118956] Loss_D: -0.020791 Loss_G: -0.006464 Loss_D_real: -0.003157 Loss_D_fake 0.017634
[1153/5000][435/535][118957] Loss_D: -0.019821 Loss_G: 0.027537 Loss_D_real: -0.026214 Loss_D_fake -0.006392
[1153/5000][440/535][118958] Loss_D: -0.020437 Loss_G: 0.002154 Loss_D_real: -0.024455 Loss_D_fake -0.004019
[1153/5000][445/535][118959] Loss_D: -0.021021 Loss_G: 0.001372 Loss_D_real: -0.001585 Loss_D_fake 0.019437
[1153/5000][450/535][118960] Loss_D: -0.020449 Loss_G: 0.004345 Loss_D_real: -0.024407 Loss_D_fake -0.003958
[1153/5000][455/535][118961] Loss_D: -0.021168 Loss_G: 0.007909 Loss_D_real: -0.019299 Loss_D_fake 0.001869
[1153/5000][460/535][118962] Loss_D: -0.021342 Loss_G: -0.005349 Loss_D_real: -0.010842 Loss_D_fake 0.010499
[1153/5000][465/535][118963] Loss_D: -0.021384 Loss_G: 0.012440 Loss_D_real: -0.020728 Loss_D_fake 0.000657
[1153/5000][470/535][118964] Loss_D: -0.020890 Loss_G: 0.002459 Loss_D_real: -0.007085 Loss_D_fake 0.013805
[1153/5000][475/535][118965] Loss_D: -0.020756 Loss_G: 0.004564 Loss_D_real: -0.016252 Loss_D_fake 0.004504
[1153/5000][480/535][118966] Loss_D: -0.021301 Loss_G: 0.015651 Loss_D_real: -0.023254 Loss_D_fake -0.001953
[1153/5000][485/535][118967] Loss_D: -0.021384 Loss_G: 0.003985 Loss_D_real: -0.013964 Loss_D_fake 0.007420
[1153/5000][490/535][118968] Loss_D: -0.021874 Loss_G: 0.023424 Loss_D_real: -0.029158 Loss_D_fake -0.007284
[1153/5000][495/535][118969] Loss_D: -0.021301 Loss_G: 0.017478 Loss_D_real: -0.022400 Loss_D_fake -0.001099
[1153/5000][500/535][118970] Loss_D: -0.021134 Loss_G: -0.010972 Loss_D_real: -0.001068 Loss_D_fake 0.020066
[1153/5000][505/535][118971] Loss_D: -0.021305 Loss_G: 0.012163 Loss_D_real: -0.023496 Loss_D_fake -0.002191
[1153/5000][510/535][118972] Loss_D: -0.020631 Loss_G: 0.016734 Loss_D_real: -0.020821 Loss_D_fake -0.000191
[1153/5000][515/535][118973] Loss_D: -0.021912 Loss_G: 0.004719 Loss_D_real: -0.034074 Loss_D_fake -0.012162
[1153/5000][520/535][118974] Loss_D: -0.020925 Loss_G: 0.010667 Loss_D_real: -0.023402 Loss_D_fake -0.002478
[1153/5000][525/535][118975] Loss_D: -0.021782 Loss_G: 0.024051 Loss_D_real: -0.023035 Loss_D_fake -0.001253
[1153/5000][530/535][118976] Loss_D: -0.021857 Loss_G: -0.007096 Loss_D_real: -0.016031 Loss_D_fake 0.005827
[1153/5000][535/535][118977] Loss_D: -0.022040 Loss_G: -0.025837 Loss_D_real: -0.022214 Loss_D_fake -0.000174
[1154/5000][5/535][118978] Loss_D: -0.020576 Loss_G: 0.007365 Loss_D_real: -0.015775 Loss_D_fake 0.004801
[1154/5000][10/535][118979] Loss_D: -0.020921 Loss_G: 0.009022 Loss_D_real: -0.018675 Loss_D_fake 0.002246
[1154/5000][15/535][118980] Loss_D: -0.021493 Loss_G: 0.018566 Loss_D_real: -0.027945 Loss_D_fake -0.006453
[1154/5000][20/535][118981] Loss_D: -0.020152 Loss_G: 0.000905 Loss_D_real: -0.011112 Loss_D_fake 0.009040
[1154/5000][25/535][118982] Loss_D: -0.020991 Loss_G: -0.002351 Loss_D_real: -0.010642 Loss_D_fake 0.010349
[1154/5000][30/535][118983] Loss_D: -0.020573 Loss_G: 0.018728 Loss_D_real: -0.018454 Loss_D_fake 0.002119
[1154/5000][35/535][118984] Loss_D: -0.020086 Loss_G: 0.007576 Loss_D_real: -0.025733 Loss_D_fake -0.005647
[1154/5000][40/535][118985] Loss_D: -0.020500 Loss_G: -0.001364 Loss_D_real: -0.011454 Loss_D_fake 0.009047
[1154/5000][45/535][118986] Loss_D: -0.021107 Loss_G: 0.004127 Loss_D_real: -0.017846 Loss_D_fake 0.003261
[1154/5000][50/535][118987] Loss_D: -0.022082 Loss_G: 0.007731 Loss_D_real: -0.005354 Loss_D_fake 0.016728
[1154/5000][55/535][118988] Loss_D: -0.019888 Loss_G: -0.005974 Loss_D_real: -0.008381 Loss_D_fake 0.011507
[1154/5000][60/535][118989] Loss_D: -0.021455 Loss_G: -0.003183 Loss_D_real: -0.013355 Loss_D_fake 0.008099
[1154/5000][65/535][118990] Loss_D: -0.020991 Loss_G: 0.008956 Loss_D_real: -0.017087 Loss_D_fake 0.003904
[1154/5000][70/535][118991] Loss_D: -0.020814 Loss_G: -0.014393 Loss_D_real: -0.008197 Loss_D_fake 0.012617
[1154/5000][75/535][118992] Loss_D: -0.022245 Loss_G: 0.029041 Loss_D_real: -0.031809 Loss_D_fake -0.009565
[1154/5000][80/535][118993] Loss_D: -0.020945 Loss_G: 0.013522 Loss_D_real: -0.020369 Loss_D_fake 0.000576
[1154/5000][85/535][118994] Loss_D: -0.022167 Loss_G: 0.005916 Loss_D_real: -0.015101 Loss_D_fake 0.007066
[1154/5000][90/535][118995] Loss_D: -0.022248 Loss_G: 0.010905 Loss_D_real: -0.003432 Loss_D_fake 0.018815
[1154/5000][95/535][118996] Loss_D: -0.020930 Loss_G: 0.016146 Loss_D_real: -0.028844 Loss_D_fake -0.007914
[1154/5000][100/535][118997] Loss_D: -0.022077 Loss_G: 0.000133 Loss_D_real: -0.008991 Loss_D_fake 0.013086
[1154/5000][105/535][118998] Loss_D: -0.020565 Loss_G: 0.015166 Loss_D_real: -0.027804 Loss_D_fake -0.007240
[1154/5000][110/535][118999] Loss_D: -0.021569 Loss_G: 0.008870 Loss_D_real: -0.026687 Loss_D_fake -0.005118
[1154/5000][115/535][119000] Loss_D: -0.021507 Loss_G: 0.007329 Loss_D_real: -0.008482 Loss_D_fake 0.013025
[1154/5000][215/535][119001] Loss_D: -0.023354 Loss_G: -0.013068 Loss_D_real: -0.014926 Loss_D_fake 0.008428
[1154/5000][220/535][119002] Loss_D: -0.020835 Loss_G: 0.006184 Loss_D_real: 0.003215 Loss_D_fake 0.024050
[1154/5000][225/535][119003] Loss_D: -0.019645 Loss_G: 0.006774 Loss_D_real: -0.022245 Loss_D_fake -0.002599
[1154/5000][230/535][119004] Loss_D: -0.020492 Loss_G: 0.000790 Loss_D_real: -0.008587 Loss_D_fake 0.011905
[1154/5000][235/535][119005] Loss_D: -0.020623 Loss_G: 0.018395 Loss_D_real: -0.021999 Loss_D_fake -0.001375
[1154/5000][240/535][119006] Loss_D: -0.020875 Loss_G: -0.002314 Loss_D_real: -0.009829 Loss_D_fake 0.011045
[1154/5000][245/535][119007] Loss_D: -0.019923 Loss_G: 0.008757 Loss_D_real: -0.005301 Loss_D_fake 0.014622
[1154/5000][250/535][119008] Loss_D: -0.020455 Loss_G: 0.006510 Loss_D_real: -0.026413 Loss_D_fake -0.005958
[1154/5000][255/535][119009] Loss_D: -0.018917 Loss_G: 0.025866 Loss_D_real: -0.039758 Loss_D_fake -0.020841
[1154/5000][260/535][119010] Loss_D: -0.020151 Loss_G: -0.004244 Loss_D_real: -0.001044 Loss_D_fake 0.019107
[1154/5000][265/535][119011] Loss_D: -0.020737 Loss_G: -0.008187 Loss_D_real: -0.022962 Loss_D_fake -0.002225
[1154/5000][270/535][119012] Loss_D: -0.021293 Loss_G: 0.016653 Loss_D_real: -0.023952 Loss_D_fake -0.002658
[1154/5000][275/535][119013] Loss_D: -0.020304 Loss_G: 0.005487 Loss_D_real: -0.015300 Loss_D_fake 0.005004
[1154/5000][280/535][119014] Loss_D: -0.019772 Loss_G: 0.011209 Loss_D_real: -0.009711 Loss_D_fake 0.010061
[1154/5000][285/535][119015] Loss_D: -0.019833 Loss_G: 0.004599 Loss_D_real: -0.014541 Loss_D_fake 0.005292
[1154/5000][290/535][119016] Loss_D: -0.020587 Loss_G: 0.007274 Loss_D_real: -0.006054 Loss_D_fake 0.014533
[1154/5000][295/535][119017] Loss_D: -0.018879 Loss_G: 0.020910 Loss_D_real: -0.033421 Loss_D_fake -0.014542
[1154/5000][300/535][119018] Loss_D: -0.020020 Loss_G: 0.014844 Loss_D_real: -0.016931 Loss_D_fake 0.003089
[1154/5000][305/535][119019] Loss_D: -0.016629 Loss_G: 0.019166 Loss_D_real: -0.037481 Loss_D_fake -0.020852
[1154/5000][310/535][119020] Loss_D: -0.021119 Loss_G: 0.008212 Loss_D_real: -0.011856 Loss_D_fake 0.009263
[1154/5000][315/535][119021] Loss_D: -0.019541 Loss_G: -0.009590 Loss_D_real: -0.003382 Loss_D_fake 0.016159
[1154/5000][320/535][119022] Loss_D: -0.021189 Loss_G: 0.017005 Loss_D_real: -0.026106 Loss_D_fake -0.004918
[1154/5000][325/535][119023] Loss_D: -0.020683 Loss_G: 0.008954 Loss_D_real: -0.011168 Loss_D_fake 0.009516
[1154/5000][330/535][119024] Loss_D: -0.020643 Loss_G: -0.003910 Loss_D_real: -0.017589 Loss_D_fake 0.003054
[1154/5000][335/535][119025] Loss_D: -0.020370 Loss_G: 0.013837 Loss_D_real: -0.015141 Loss_D_fake 0.005229
[1154/5000][340/535][119026] Loss_D: -0.020874 Loss_G: 0.007833 Loss_D_real: -0.017798 Loss_D_fake 0.003076
[1154/5000][345/535][119027] Loss_D: -0.021062 Loss_G: -0.008150 Loss_D_real: -0.013443 Loss_D_fake 0.007619
[1154/5000][350/535][119028] Loss_D: -0.020098 Loss_G: 0.019438 Loss_D_real: -0.017004 Loss_D_fake 0.003094
[1154/5000][355/535][119029] Loss_D: -0.020442 Loss_G: 0.002350 Loss_D_real: -0.013928 Loss_D_fake 0.006513
[1154/5000][360/535][119030] Loss_D: -0.021793 Loss_G: -0.003151 Loss_D_real: -0.001239 Loss_D_fake 0.020554
[1154/5000][365/535][119031] Loss_D: -0.018458 Loss_G: 0.028773 Loss_D_real: -0.042513 Loss_D_fake -0.024055
[1154/5000][370/535][119032] Loss_D: -0.020607 Loss_G: 0.019571 Loss_D_real: -0.031451 Loss_D_fake -0.010845
[1154/5000][375/535][119033] Loss_D: -0.020188 Loss_G: 0.001235 Loss_D_real: -0.015642 Loss_D_fake 0.004546
[1154/5000][380/535][119034] Loss_D: -0.020989 Loss_G: 0.004524 Loss_D_real: -0.025629 Loss_D_fake -0.004640
[1154/5000][385/535][119035] Loss_D: -0.021193 Loss_G: 0.017029 Loss_D_real: -0.024283 Loss_D_fake -0.003090
[1154/5000][390/535][119036] Loss_D: -0.022777 Loss_G: 0.015152 Loss_D_real: -0.027185 Loss_D_fake -0.004408
[1154/5000][395/535][119037] Loss_D: -0.021425 Loss_G: 0.006500 Loss_D_real: -0.015040 Loss_D_fake 0.006385
[1154/5000][400/535][119038] Loss_D: -0.021969 Loss_G: 0.018699 Loss_D_real: -0.022792 Loss_D_fake -0.000822
[1154/5000][405/535][119039] Loss_D: -0.020876 Loss_G: 0.007065 Loss_D_real: -0.010380 Loss_D_fake 0.010496
[1154/5000][410/535][119040] Loss_D: -0.020970 Loss_G: 0.015750 Loss_D_real: -0.024774 Loss_D_fake -0.003804
[1154/5000][415/535][119041] Loss_D: -0.020725 Loss_G: 0.009589 Loss_D_real: -0.021603 Loss_D_fake -0.000877
[1154/5000][420/535][119042] Loss_D: -0.020165 Loss_G: 0.006660 Loss_D_real: -0.019321 Loss_D_fake 0.000843
[1154/5000][425/535][119043] Loss_D: -0.020931 Loss_G: -0.012592 Loss_D_real: -0.016949 Loss_D_fake 0.003982
[1154/5000][430/535][119044] Loss_D: -0.022332 Loss_G: 0.000271 Loss_D_real: -0.004223 Loss_D_fake 0.018109
[1154/5000][435/535][119045] Loss_D: -0.021804 Loss_G: 0.015127 Loss_D_real: -0.015893 Loss_D_fake 0.005911
[1154/5000][440/535][119046] Loss_D: -0.020359 Loss_G: -0.002043 Loss_D_real: -0.015277 Loss_D_fake 0.005082
[1154/5000][445/535][119047] Loss_D: -0.020418 Loss_G: -0.014493 Loss_D_real: -0.006975 Loss_D_fake 0.013444
[1154/5000][450/535][119048] Loss_D: -0.020109 Loss_G: 0.007096 Loss_D_real: -0.022543 Loss_D_fake -0.002434
[1154/5000][455/535][119049] Loss_D: -0.020691 Loss_G: 0.003741 Loss_D_real: -0.004410 Loss_D_fake 0.016281
[1154/5000][460/535][119050] Loss_D: -0.020195 Loss_G: 0.027693 Loss_D_real: -0.017174 Loss_D_fake 0.003021
[1154/5000][465/535][119051] Loss_D: -0.021262 Loss_G: -0.005796 Loss_D_real: -0.009894 Loss_D_fake 0.011368
[1154/5000][470/535][119052] Loss_D: -0.020459 Loss_G: 0.016784 Loss_D_real: -0.020904 Loss_D_fake -0.000446
[1154/5000][475/535][119053] Loss_D: -0.022097 Loss_G: 0.004992 Loss_D_real: -0.015581 Loss_D_fake 0.006515
[1154/5000][480/535][119054] Loss_D: -0.020187 Loss_G: 0.013599 Loss_D_real: -0.019043 Loss_D_fake 0.001144
[1154/5000][485/535][119055] Loss_D: -0.020032 Loss_G: -0.004195 Loss_D_real: -0.019753 Loss_D_fake 0.000279
[1154/5000][490/535][119056] Loss_D: -0.021526 Loss_G: -0.004289 Loss_D_real: -0.015201 Loss_D_fake 0.006325
[1154/5000][495/535][119057] Loss_D: -0.021182 Loss_G: 0.022596 Loss_D_real: -0.028647 Loss_D_fake -0.007464
[1154/5000][500/535][119058] Loss_D: -0.020038 Loss_G: -0.010369 Loss_D_real: -0.008570 Loss_D_fake 0.011468
[1154/5000][505/535][119059] Loss_D: -0.021737 Loss_G: 0.008778 Loss_D_real: -0.021669 Loss_D_fake 0.000069
[1154/5000][510/535][119060] Loss_D: -0.020446 Loss_G: -0.008630 Loss_D_real: -0.026500 Loss_D_fake -0.006053
[1154/5000][515/535][119061] Loss_D: -0.020967 Loss_G: 0.001489 Loss_D_real: -0.007316 Loss_D_fake 0.013651
[1154/5000][520/535][119062] Loss_D: -0.021251 Loss_G: 0.019543 Loss_D_real: -0.021838 Loss_D_fake -0.000587
[1154/5000][525/535][119063] Loss_D: -0.020102 Loss_G: 0.015595 Loss_D_real: -0.030881 Loss_D_fake -0.010779
[1154/5000][530/535][119064] Loss_D: -0.021268 Loss_G: -0.014166 Loss_D_real: -0.002374 Loss_D_fake 0.018894
[1154/5000][535/535][119065] Loss_D: -0.018950 Loss_G: -0.013720 Loss_D_real: -0.017684 Loss_D_fake 0.001266
[1155/5000][5/535][119066] Loss_D: -0.020141 Loss_G: 0.013761 Loss_D_real: -0.028642 Loss_D_fake -0.008501
[1155/5000][10/535][119067] Loss_D: -0.021255 Loss_G: 0.027778 Loss_D_real: -0.020085 Loss_D_fake 0.001170
[1155/5000][15/535][119068] Loss_D: -0.020540 Loss_G: 0.020090 Loss_D_real: -0.013595 Loss_D_fake 0.006945
[1155/5000][20/535][119069] Loss_D: -0.018973 Loss_G: 0.020107 Loss_D_real: -0.033725 Loss_D_fake -0.014752
[1155/5000][25/535][119070] Loss_D: -0.020905 Loss_G: -0.006929 Loss_D_real: -0.020777 Loss_D_fake 0.000128
[1155/5000][30/535][119071] Loss_D: -0.019854 Loss_G: 0.029594 Loss_D_real: -0.031269 Loss_D_fake -0.011415
[1155/5000][35/535][119072] Loss_D: -0.020982 Loss_G: 0.001970 Loss_D_real: -0.017505 Loss_D_fake 0.003478
[1155/5000][40/535][119073] Loss_D: -0.020475 Loss_G: 0.011128 Loss_D_real: -0.017494 Loss_D_fake 0.002981
[1155/5000][45/535][119074] Loss_D: -0.020679 Loss_G: 0.002910 Loss_D_real: -0.012205 Loss_D_fake 0.008474
[1155/5000][50/535][119075] Loss_D: -0.021081 Loss_G: 0.021305 Loss_D_real: -0.023494 Loss_D_fake -0.002413
[1155/5000][55/535][119076] Loss_D: -0.020728 Loss_G: 0.000055 Loss_D_real: -0.017057 Loss_D_fake 0.003671
[1155/5000][60/535][119077] Loss_D: -0.021727 Loss_G: 0.008460 Loss_D_real: -0.025622 Loss_D_fake -0.003895
[1155/5000][65/535][119078] Loss_D: -0.020084 Loss_G: -0.016646 Loss_D_real: -0.001823 Loss_D_fake 0.018261
[1155/5000][70/535][119079] Loss_D: -0.020419 Loss_G: 0.024675 Loss_D_real: -0.025831 Loss_D_fake -0.005412
[1155/5000][75/535][119080] Loss_D: -0.021306 Loss_G: 0.002747 Loss_D_real: -0.003702 Loss_D_fake 0.017604
[1155/5000][80/535][119081] Loss_D: -0.020312 Loss_G: 0.011243 Loss_D_real: -0.010148 Loss_D_fake 0.010164
[1155/5000][85/535][119082] Loss_D: -0.021821 Loss_G: -0.001870 Loss_D_real: -0.021321 Loss_D_fake 0.000500
[1155/5000][90/535][119083] Loss_D: -0.022079 Loss_G: 0.010388 Loss_D_real: -0.016698 Loss_D_fake 0.005381
[1155/5000][95/535][119084] Loss_D: -0.022276 Loss_G: 0.000281 Loss_D_real: -0.007104 Loss_D_fake 0.015172
[1155/5000][100/535][119085] Loss_D: -0.021859 Loss_G: 0.016019 Loss_D_real: -0.015444 Loss_D_fake 0.006415
[1155/5000][105/535][119086] Loss_D: -0.021636 Loss_G: -0.003299 Loss_D_real: -0.017516 Loss_D_fake 0.004120
[1155/5000][110/535][119087] Loss_D: -0.021759 Loss_G: 0.005790 Loss_D_real: -0.008688 Loss_D_fake 0.013071
[1155/5000][115/535][119088] Loss_D: -0.020493 Loss_G: 0.014255 Loss_D_real: -0.026717 Loss_D_fake -0.006225
[1155/5000][120/535][119089] Loss_D: -0.022847 Loss_G: 0.000933 Loss_D_real: -0.006319 Loss_D_fake 0.016529
[1155/5000][125/535][119090] Loss_D: -0.021701 Loss_G: 0.009098 Loss_D_real: -0.018333 Loss_D_fake 0.003368
[1155/5000][130/535][119091] Loss_D: -0.019384 Loss_G: 0.017480 Loss_D_real: -0.026813 Loss_D_fake -0.007429
[1155/5000][135/535][119092] Loss_D: -0.019830 Loss_G: 0.011472 Loss_D_real: -0.017643 Loss_D_fake 0.002186
[1155/5000][140/535][119093] Loss_D: -0.020363 Loss_G: 0.004489 Loss_D_real: -0.024984 Loss_D_fake -0.004621
[1155/5000][145/535][119094] Loss_D: -0.020950 Loss_G: 0.015966 Loss_D_real: -0.022820 Loss_D_fake -0.001870
[1155/5000][150/535][119095] Loss_D: -0.020232 Loss_G: 0.001285 Loss_D_real: -0.013695 Loss_D_fake 0.006537
[1155/5000][155/535][119096] Loss_D: -0.020317 Loss_G: 0.008351 Loss_D_real: -0.024208 Loss_D_fake -0.003891
[1155/5000][160/535][119097] Loss_D: -0.022082 Loss_G: -0.007779 Loss_D_real: -0.006511 Loss_D_fake 0.015572
[1155/5000][165/535][119098] Loss_D: -0.020336 Loss_G: 0.015644 Loss_D_real: -0.029455 Loss_D_fake -0.009119
[1155/5000][170/535][119099] Loss_D: -0.021622 Loss_G: -0.000331 Loss_D_real: -0.005310 Loss_D_fake 0.016312
[1155/5000][175/535][119100] Loss_D: -0.019899 Loss_G: -0.009759 Loss_D_real: -0.016117 Loss_D_fake 0.003782
[1155/5000][180/535][119101] Loss_D: -0.019512 Loss_G: 0.015584 Loss_D_real: -0.035928 Loss_D_fake -0.016416
[1155/5000][185/535][119102] Loss_D: -0.021158 Loss_G: 0.021070 Loss_D_real: -0.020102 Loss_D_fake 0.001055
[1155/5000][190/535][119103] Loss_D: -0.020996 Loss_G: 0.012811 Loss_D_real: -0.015309 Loss_D_fake 0.005687
[1155/5000][195/535][119104] Loss_D: -0.021806 Loss_G: 0.008123 Loss_D_real: -0.015333 Loss_D_fake 0.006473
[1155/5000][200/535][119105] Loss_D: -0.020025 Loss_G: -0.012969 Loss_D_real: -0.009739 Loss_D_fake 0.010286
[1155/5000][205/535][119106] Loss_D: -0.020135 Loss_G: 0.021362 Loss_D_real: -0.029497 Loss_D_fake -0.009363
[1155/5000][210/535][119107] Loss_D: -0.019972 Loss_G: -0.012225 Loss_D_real: -0.009577 Loss_D_fake 0.010395
[1155/5000][215/535][119108] Loss_D: -0.020336 Loss_G: -0.006704 Loss_D_real: -0.010664 Loss_D_fake 0.009671
[1155/5000][220/535][119109] Loss_D: -0.021836 Loss_G: 0.005014 Loss_D_real: -0.019441 Loss_D_fake 0.002395
[1155/5000][225/535][119110] Loss_D: -0.021629 Loss_G: 0.011225 Loss_D_real: -0.012753 Loss_D_fake 0.008876
[1155/5000][230/535][119111] Loss_D: -0.020829 Loss_G: 0.014413 Loss_D_real: -0.025122 Loss_D_fake -0.004293
[1155/5000][235/535][119112] Loss_D: -0.021190 Loss_G: 0.010254 Loss_D_real: -0.020553 Loss_D_fake 0.000637
[1155/5000][240/535][119113] Loss_D: -0.021146 Loss_G: 0.010781 Loss_D_real: -0.020381 Loss_D_fake 0.000766
[1155/5000][245/535][119114] Loss_D: -0.022732 Loss_G: -0.005224 Loss_D_real: -0.029527 Loss_D_fake -0.006795
[1155/5000][250/535][119115] Loss_D: -0.021101 Loss_G: 0.009291 Loss_D_real: -0.027511 Loss_D_fake -0.006410
[1155/5000][255/535][119116] Loss_D: -0.021343 Loss_G: 0.011932 Loss_D_real: -0.031458 Loss_D_fake -0.010115
[1155/5000][260/535][119117] Loss_D: -0.023349 Loss_G: 0.002445 Loss_D_real: -0.013023 Loss_D_fake 0.010326
[1155/5000][265/535][119118] Loss_D: -0.019929 Loss_G: 0.011312 Loss_D_real: -0.016826 Loss_D_fake 0.003103
[1155/5000][270/535][119119] Loss_D: -0.021402 Loss_G: -0.009977 Loss_D_real: -0.000869 Loss_D_fake 0.020533
[1155/5000][275/535][119120] Loss_D: -0.018421 Loss_G: 0.029595 Loss_D_real: -0.033215 Loss_D_fake -0.014794
[1155/5000][280/535][119121] Loss_D: -0.020526 Loss_G: -0.001395 Loss_D_real: -0.013317 Loss_D_fake 0.007209
[1155/5000][285/535][119122] Loss_D: -0.020645 Loss_G: 0.012170 Loss_D_real: -0.015980 Loss_D_fake 0.004665
[1155/5000][290/535][119123] Loss_D: -0.020171 Loss_G: 0.014357 Loss_D_real: -0.014419 Loss_D_fake 0.005752
[1155/5000][295/535][119124] Loss_D: -0.021198 Loss_G: 0.004889 Loss_D_real: -0.005060 Loss_D_fake 0.016138
[1155/5000][300/535][119125] Loss_D: -0.019773 Loss_G: -0.008437 Loss_D_real: -0.012592 Loss_D_fake 0.007181
[1155/5000][305/535][119126] Loss_D: -0.020570 Loss_G: -0.003330 Loss_D_real: -0.010993 Loss_D_fake 0.009577
[1155/5000][310/535][119127] Loss_D: -0.019739 Loss_G: 0.022777 Loss_D_real: -0.018341 Loss_D_fake 0.001398
[1155/5000][315/535][119128] Loss_D: -0.019449 Loss_G: 0.027801 Loss_D_real: -0.036716 Loss_D_fake -0.017267
[1155/5000][320/535][119129] Loss_D: -0.021727 Loss_G: 0.005714 Loss_D_real: -0.015397 Loss_D_fake 0.006331
[1155/5000][325/535][119130] Loss_D: -0.020847 Loss_G: 0.001968 Loss_D_real: -0.025349 Loss_D_fake -0.004502
[1155/5000][330/535][119131] Loss_D: -0.021966 Loss_G: 0.015158 Loss_D_real: -0.028879 Loss_D_fake -0.006913
[1155/5000][335/535][119132] Loss_D: -0.020729 Loss_G: 0.025821 Loss_D_real: -0.034734 Loss_D_fake -0.014006
[1155/5000][340/535][119133] Loss_D: -0.021912 Loss_G: 0.013452 Loss_D_real: -0.026115 Loss_D_fake -0.004203
[1155/5000][345/535][119134] Loss_D: -0.020758 Loss_G: 0.001669 Loss_D_real: -0.014437 Loss_D_fake 0.006321
[1155/5000][350/535][119135] Loss_D: -0.022329 Loss_G: 0.002049 Loss_D_real: -0.000986 Loss_D_fake 0.021343
[1155/5000][355/535][119136] Loss_D: -0.021496 Loss_G: 0.000334 Loss_D_real: -0.011126 Loss_D_fake 0.010370
[1155/5000][360/535][119137] Loss_D: -0.021466 Loss_G: 0.016941 Loss_D_real: -0.028633 Loss_D_fake -0.007167
[1155/5000][365/535][119138] Loss_D: -0.020841 Loss_G: -0.006594 Loss_D_real: -0.008421 Loss_D_fake 0.012420
[1155/5000][370/535][119139] Loss_D: -0.021089 Loss_G: 0.005818 Loss_D_real: -0.018060 Loss_D_fake 0.003029
[1155/5000][375/535][119140] Loss_D: -0.021473 Loss_G: 0.000216 Loss_D_real: -0.012250 Loss_D_fake 0.009223
[1155/5000][380/535][119141] Loss_D: -0.021083 Loss_G: 0.010980 Loss_D_real: -0.017023 Loss_D_fake 0.004061
[1155/5000][385/535][119142] Loss_D: -0.022285 Loss_G: 0.011406 Loss_D_real: -0.017115 Loss_D_fake 0.005170
[1155/5000][390/535][119143] Loss_D: -0.021154 Loss_G: 0.006562 Loss_D_real: -0.015201 Loss_D_fake 0.005953
[1155/5000][395/535][119144] Loss_D: -0.020525 Loss_G: -0.019362 Loss_D_real: -0.009109 Loss_D_fake 0.011416
[1155/5000][400/535][119145] Loss_D: -0.021276 Loss_G: 0.006955 Loss_D_real: -0.007641 Loss_D_fake 0.013635
[1155/5000][405/535][119146] Loss_D: -0.020411 Loss_G: 0.005482 Loss_D_real: -0.011473 Loss_D_fake 0.008938
[1155/5000][410/535][119147] Loss_D: -0.020030 Loss_G: -0.003133 Loss_D_real: -0.007450 Loss_D_fake 0.012580
[1155/5000][415/535][119148] Loss_D: -0.021041 Loss_G: 0.014766 Loss_D_real: -0.019421 Loss_D_fake 0.001620
[1155/5000][420/535][119149] Loss_D: -0.021491 Loss_G: 0.021087 Loss_D_real: -0.027919 Loss_D_fake -0.006428
[1155/5000][425/535][119150] Loss_D: -0.022325 Loss_G: 0.009462 Loss_D_real: -0.012241 Loss_D_fake 0.010084
[1155/5000][430/535][119151] Loss_D: -0.020914 Loss_G: 0.010031 Loss_D_real: -0.024028 Loss_D_fake -0.003114
[1155/5000][435/535][119152] Loss_D: -0.021498 Loss_G: 0.001519 Loss_D_real: -0.007346 Loss_D_fake 0.014152
[1155/5000][440/535][119153] Loss_D: -0.020468 Loss_G: 0.017127 Loss_D_real: -0.028848 Loss_D_fake -0.008380
[1155/5000][445/535][119154] Loss_D: -0.020500 Loss_G: 0.017021 Loss_D_real: -0.030459 Loss_D_fake -0.009959
[1155/5000][450/535][119155] Loss_D: -0.021468 Loss_G: 0.016134 Loss_D_real: -0.032246 Loss_D_fake -0.010778
[1155/5000][455/535][119156] Loss_D: -0.021675 Loss_G: 0.008513 Loss_D_real: -0.022017 Loss_D_fake -0.000342
[1155/5000][460/535][119157] Loss_D: -0.020359 Loss_G: 0.008212 Loss_D_real: -0.021859 Loss_D_fake -0.001499
[1155/5000][465/535][119158] Loss_D: -0.020967 Loss_G: -0.011716 Loss_D_real: -0.001316 Loss_D_fake 0.019651
[1155/5000][470/535][119159] Loss_D: -0.022586 Loss_G: 0.012629 Loss_D_real: -0.021101 Loss_D_fake 0.001485
[1155/5000][475/535][119160] Loss_D: -0.022078 Loss_G: 0.000044 Loss_D_real: -0.012725 Loss_D_fake 0.009353
[1155/5000][480/535][119161] Loss_D: -0.019939 Loss_G: 0.006530 Loss_D_real: -0.015055 Loss_D_fake 0.004885
[1155/5000][485/535][119162] Loss_D: -0.020570 Loss_G: 0.014633 Loss_D_real: -0.026431 Loss_D_fake -0.005861
[1155/5000][490/535][119163] Loss_D: -0.020919 Loss_G: 0.015975 Loss_D_real: -0.028137 Loss_D_fake -0.007218
[1155/5000][495/535][119164] Loss_D: -0.021243 Loss_G: 0.022902 Loss_D_real: -0.027505 Loss_D_fake -0.006262
[1155/5000][500/535][119165] Loss_D: -0.021024 Loss_G: 0.006130 Loss_D_real: -0.029191 Loss_D_fake -0.008166
[1155/5000][505/535][119166] Loss_D: -0.021270 Loss_G: 0.000600 Loss_D_real: -0.019249 Loss_D_fake 0.002020
[1155/5000][510/535][119167] Loss_D: -0.020780 Loss_G: 0.007466 Loss_D_real: -0.009359 Loss_D_fake 0.011421
[1155/5000][515/535][119168] Loss_D: -0.021553 Loss_G: 0.018163 Loss_D_real: -0.029335 Loss_D_fake -0.007782
[1155/5000][520/535][119169] Loss_D: -0.020756 Loss_G: 0.002957 Loss_D_real: -0.014653 Loss_D_fake 0.006103
[1155/5000][525/535][119170] Loss_D: -0.018508 Loss_G: -0.028224 Loss_D_real: 0.007764 Loss_D_fake 0.026273
[1155/5000][530/535][119171] Loss_D: -0.021028 Loss_G: 0.025269 Loss_D_real: -0.030646 Loss_D_fake -0.009617
[1155/5000][535/535][119172] Loss_D: -0.016671 Loss_G: -0.011528 Loss_D_real: -0.007223 Loss_D_fake 0.009448
[1156/5000][5/535][119173] Loss_D: -0.021355 Loss_G: 0.009983 Loss_D_real: -0.017401 Loss_D_fake 0.003955
[1156/5000][10/535][119174] Loss_D: -0.019730 Loss_G: -0.006851 Loss_D_real: -0.010166 Loss_D_fake 0.009563
[1156/5000][15/535][119175] Loss_D: -0.019884 Loss_G: 0.018996 Loss_D_real: -0.030820 Loss_D_fake -0.010936
[1156/5000][20/535][119176] Loss_D: -0.021488 Loss_G: 0.012356 Loss_D_real: -0.020319 Loss_D_fake 0.001169
[1156/5000][25/535][119177] Loss_D: -0.020701 Loss_G: 0.014615 Loss_D_real: -0.022540 Loss_D_fake -0.001839
[1156/5000][30/535][119178] Loss_D: -0.020410 Loss_G: 0.006256 Loss_D_real: -0.019093 Loss_D_fake 0.001317
[1156/5000][35/535][119179] Loss_D: -0.020336 Loss_G: 0.010365 Loss_D_real: -0.027429 Loss_D_fake -0.007092
[1156/5000][40/535][119180] Loss_D: -0.020571 Loss_G: -0.000546 Loss_D_real: -0.012557 Loss_D_fake 0.008014
[1156/5000][45/535][119181] Loss_D: -0.022108 Loss_G: 0.009037 Loss_D_real: -0.006839 Loss_D_fake 0.015268
[1156/5000][50/535][119182] Loss_D: -0.020853 Loss_G: 0.010896 Loss_D_real: -0.018081 Loss_D_fake 0.002772
[1156/5000][55/535][119183] Loss_D: -0.022011 Loss_G: 0.015009 Loss_D_real: -0.021872 Loss_D_fake 0.000139
[1156/5000][60/535][119184] Loss_D: -0.020803 Loss_G: 0.003326 Loss_D_real: -0.017288 Loss_D_fake 0.003515
[1156/5000][65/535][119185] Loss_D: -0.021992 Loss_G: -0.011134 Loss_D_real: -0.008113 Loss_D_fake 0.013880
[1156/5000][70/535][119186] Loss_D: -0.020108 Loss_G: 0.010177 Loss_D_real: -0.027642 Loss_D_fake -0.007534
[1156/5000][75/535][119187] Loss_D: -0.020095 Loss_G: 0.021945 Loss_D_real: -0.021714 Loss_D_fake -0.001619
[1156/5000][80/535][119188] Loss_D: -0.019775 Loss_G: 0.011681 Loss_D_real: -0.013846 Loss_D_fake 0.005929
[1156/5000][85/535][119189] Loss_D: -0.021378 Loss_G: 0.011497 Loss_D_real: -0.018485 Loss_D_fake 0.002892
[1156/5000][90/535][119190] Loss_D: -0.020640 Loss_G: 0.008976 Loss_D_real: -0.026930 Loss_D_fake -0.006290
[1156/5000][95/535][119191] Loss_D: -0.021312 Loss_G: 0.010940 Loss_D_real: -0.022166 Loss_D_fake -0.000854
[1156/5000][100/535][119192] Loss_D: -0.020376 Loss_G: -0.010323 Loss_D_real: -0.008190 Loss_D_fake 0.012186
[1156/5000][105/535][119193] Loss_D: -0.022420 Loss_G: -0.002951 Loss_D_real: -0.019581 Loss_D_fake 0.002839
[1156/5000][110/535][119194] Loss_D: -0.020817 Loss_G: 0.007253 Loss_D_real: -0.031972 Loss_D_fake -0.011156
[1156/5000][115/535][119195] Loss_D: -0.020836 Loss_G: 0.013767 Loss_D_real: -0.021515 Loss_D_fake -0.000679
[1156/5000][120/535][119196] Loss_D: -0.021520 Loss_G: 0.008427 Loss_D_real: -0.013338 Loss_D_fake 0.008182
[1156/5000][125/535][119197] Loss_D: -0.019940 Loss_G: 0.021695 Loss_D_real: -0.024973 Loss_D_fake -0.005033
[1156/5000][130/535][119198] Loss_D: -0.019386 Loss_G: -0.009567 Loss_D_real: -0.003144 Loss_D_fake 0.016242
[1156/5000][135/535][119199] Loss_D: -0.020506 Loss_G: 0.015566 Loss_D_real: -0.029815 Loss_D_fake -0.009309
[1156/5000][140/535][119200] Loss_D: -0.020576 Loss_G: 0.001453 Loss_D_real: -0.012728 Loss_D_fake 0.007848
[1156/5000][145/535][119201] Loss_D: -0.019488 Loss_G: 0.031530 Loss_D_real: -0.036967 Loss_D_fake -0.017479
[1156/5000][150/535][119202] Loss_D: -0.021453 Loss_G: 0.003134 Loss_D_real: -0.013322 Loss_D_fake 0.008131
[1156/5000][155/535][119203] Loss_D: -0.021871 Loss_G: 0.008507 Loss_D_real: -0.025021 Loss_D_fake -0.003150
[1156/5000][160/535][119204] Loss_D: -0.020622 Loss_G: 0.000355 Loss_D_real: -0.010920 Loss_D_fake 0.009702
[1156/5000][165/535][119205] Loss_D: -0.020749 Loss_G: 0.017911 Loss_D_real: -0.028940 Loss_D_fake -0.008191
[1156/5000][170/535][119206] Loss_D: -0.021072 Loss_G: -0.001333 Loss_D_real: -0.011698 Loss_D_fake 0.009374
[1156/5000][175/535][119207] Loss_D: -0.020905 Loss_G: 0.002605 Loss_D_real: -0.007093 Loss_D_fake 0.013813
[1156/5000][180/535][119208] Loss_D: -0.020318 Loss_G: 0.013278 Loss_D_real: -0.035203 Loss_D_fake -0.014884
[1156/5000][185/535][119209] Loss_D: -0.022150 Loss_G: 0.002643 Loss_D_real: -0.003726 Loss_D_fake 0.018423
[1156/5000][190/535][119210] Loss_D: -0.018970 Loss_G: -0.006391 Loss_D_real: -0.004093 Loss_D_fake 0.014877
[1156/5000][195/535][119211] Loss_D: -0.020861 Loss_G: 0.010633 Loss_D_real: -0.024393 Loss_D_fake -0.003532
[1156/5000][200/535][119212] Loss_D: -0.021157 Loss_G: 0.020566 Loss_D_real: -0.026479 Loss_D_fake -0.005322
[1156/5000][205/535][119213] Loss_D: -0.021676 Loss_G: -0.009976 Loss_D_real: 0.001470 Loss_D_fake 0.023147
[1156/5000][210/535][119214] Loss_D: -0.021634 Loss_G: 0.007849 Loss_D_real: -0.017075 Loss_D_fake 0.004560
[1156/5000][215/535][119215] Loss_D: -0.021949 Loss_G: -0.002946 Loss_D_real: -0.009383 Loss_D_fake 0.012566
[1156/5000][220/535][119216] Loss_D: -0.021544 Loss_G: -0.007944 Loss_D_real: 0.001245 Loss_D_fake 0.022790
[1156/5000][225/535][119217] Loss_D: -0.020769 Loss_G: 0.022554 Loss_D_real: -0.027802 Loss_D_fake -0.007033
[1156/5000][230/535][119218] Loss_D: -0.020120 Loss_G: 0.017510 Loss_D_real: -0.022535 Loss_D_fake -0.002415
[1156/5000][235/535][119219] Loss_D: -0.021253 Loss_G: -0.013456 Loss_D_real: -0.006644 Loss_D_fake 0.014609
[1156/5000][240/535][119220] Loss_D: -0.021085 Loss_G: 0.004891 Loss_D_real: -0.016570 Loss_D_fake 0.004516
[1156/5000][245/535][119221] Loss_D: -0.021275 Loss_G: 0.003210 Loss_D_real: -0.020037 Loss_D_fake 0.001238
[1156/5000][250/535][119222] Loss_D: -0.021153 Loss_G: 0.007373 Loss_D_real: -0.012153 Loss_D_fake 0.009000
[1156/5000][255/535][119223] Loss_D: -0.022107 Loss_G: 0.010579 Loss_D_real: -0.018811 Loss_D_fake 0.003296
[1156/5000][260/535][119224] Loss_D: -0.022980 Loss_G: 0.013315 Loss_D_real: -0.022417 Loss_D_fake 0.000563
[1156/5000][265/535][119225] Loss_D: -0.022203 Loss_G: 0.001874 Loss_D_real: -0.017267 Loss_D_fake 0.004936
[1156/5000][270/535][119226] Loss_D: -0.021212 Loss_G: 0.002660 Loss_D_real: -0.013486 Loss_D_fake 0.007726
[1156/5000][275/535][119227] Loss_D: -0.022321 Loss_G: 0.010790 Loss_D_real: -0.017224 Loss_D_fake 0.005097
[1156/5000][280/535][119228] Loss_D: -0.020982 Loss_G: -0.000222 Loss_D_real: -0.001465 Loss_D_fake 0.019517
[1156/5000][285/535][119229] Loss_D: -0.020932 Loss_G: 0.009832 Loss_D_real: -0.018449 Loss_D_fake 0.002482
[1156/5000][290/535][119230] Loss_D: -0.022577 Loss_G: -0.009585 Loss_D_real: -0.010844 Loss_D_fake 0.011733
[1156/5000][295/535][119231] Loss_D: -0.020126 Loss_G: 0.018797 Loss_D_real: -0.015918 Loss_D_fake 0.004208
[1156/5000][300/535][119232] Loss_D: -0.020739 Loss_G: 0.008850 Loss_D_real: -0.013011 Loss_D_fake 0.007728
[1156/5000][305/535][119233] Loss_D: -0.021148 Loss_G: -0.013276 Loss_D_real: -0.017699 Loss_D_fake 0.003449
[1156/5000][310/535][119234] Loss_D: -0.020973 Loss_G: 0.022470 Loss_D_real: -0.027593 Loss_D_fake -0.006619
[1156/5000][315/535][119235] Loss_D: -0.022218 Loss_G: -0.012888 Loss_D_real: -0.010619 Loss_D_fake 0.011599
[1156/5000][320/535][119236] Loss_D: -0.022068 Loss_G: 0.001381 Loss_D_real: -0.018386 Loss_D_fake 0.003682
[1156/5000][325/535][119237] Loss_D: -0.020355 Loss_G: 0.007443 Loss_D_real: -0.025612 Loss_D_fake -0.005257
[1156/5000][330/535][119238] Loss_D: -0.020660 Loss_G: 0.026647 Loss_D_real: -0.031217 Loss_D_fake -0.010557
[1156/5000][335/535][119239] Loss_D: -0.020025 Loss_G: 0.003916 Loss_D_real: -0.012020 Loss_D_fake 0.008005
[1156/5000][340/535][119240] Loss_D: -0.020659 Loss_G: 0.000022 Loss_D_real: -0.017176 Loss_D_fake 0.003482
[1156/5000][345/535][119241] Loss_D: -0.020800 Loss_G: 0.008312 Loss_D_real: -0.026863 Loss_D_fake -0.006064
[1156/5000][350/535][119242] Loss_D: -0.020723 Loss_G: 0.020483 Loss_D_real: -0.027018 Loss_D_fake -0.006295
[1156/5000][355/535][119243] Loss_D: -0.020631 Loss_G: 0.023024 Loss_D_real: -0.023384 Loss_D_fake -0.002754
[1156/5000][360/535][119244] Loss_D: -0.020589 Loss_G: -0.016951 Loss_D_real: -0.010090 Loss_D_fake 0.010499
[1156/5000][365/535][119245] Loss_D: -0.021768 Loss_G: 0.019350 Loss_D_real: -0.025043 Loss_D_fake -0.003276
[1156/5000][370/535][119246] Loss_D: -0.020866 Loss_G: 0.011662 Loss_D_real: -0.017083 Loss_D_fake 0.003783
[1156/5000][375/535][119247] Loss_D: -0.020018 Loss_G: 0.001581 Loss_D_real: -0.010736 Loss_D_fake 0.009283
[1156/5000][380/535][119248] Loss_D: -0.020791 Loss_G: -0.004840 Loss_D_real: -0.006762 Loss_D_fake 0.014030
[1156/5000][385/535][119249] Loss_D: -0.020313 Loss_G: 0.005783 Loss_D_real: -0.008391 Loss_D_fake 0.011922
[1156/5000][390/535][119250] Loss_D: -0.020160 Loss_G: -0.014288 Loss_D_real: -0.001140 Loss_D_fake 0.019020
[1156/5000][395/535][119251] Loss_D: -0.020810 Loss_G: -0.005628 Loss_D_real: -0.022650 Loss_D_fake -0.001840
[1156/5000][400/535][119252] Loss_D: -0.021211 Loss_G: 0.024156 Loss_D_real: -0.024640 Loss_D_fake -0.003429
[1156/5000][405/535][119253] Loss_D: -0.022037 Loss_G: 0.000656 Loss_D_real: -0.006075 Loss_D_fake 0.015962
[1156/5000][410/535][119254] Loss_D: -0.021318 Loss_G: 0.004875 Loss_D_real: -0.014556 Loss_D_fake 0.006763
[1156/5000][415/535][119255] Loss_D: -0.021298 Loss_G: -0.014109 Loss_D_real: -0.000911 Loss_D_fake 0.020386
[1156/5000][420/535][119256] Loss_D: -0.021815 Loss_G: -0.008893 Loss_D_real: -0.012505 Loss_D_fake 0.009310
[1156/5000][425/535][119257] Loss_D: -0.021738 Loss_G: -0.001140 Loss_D_real: -0.011421 Loss_D_fake 0.010317
[1156/5000][430/535][119258] Loss_D: -0.021422 Loss_G: 0.000271 Loss_D_real: -0.030096 Loss_D_fake -0.008674
[1156/5000][435/535][119259] Loss_D: -0.021862 Loss_G: 0.019443 Loss_D_real: -0.014887 Loss_D_fake 0.006975
[1156/5000][440/535][119260] Loss_D: -0.022399 Loss_G: -0.009249 Loss_D_real: -0.015385 Loss_D_fake 0.007014
[1156/5000][445/535][119261] Loss_D: -0.019901 Loss_G: 0.016075 Loss_D_real: -0.027129 Loss_D_fake -0.007228
[1156/5000][450/535][119262] Loss_D: -0.020320 Loss_G: 0.027755 Loss_D_real: -0.030926 Loss_D_fake -0.010607
[1156/5000][455/535][119263] Loss_D: -0.020793 Loss_G: 0.020655 Loss_D_real: -0.023824 Loss_D_fake -0.003031
[1156/5000][460/535][119264] Loss_D: -0.023089 Loss_G: 0.003171 Loss_D_real: -0.031192 Loss_D_fake -0.008103
[1156/5000][465/535][119265] Loss_D: -0.021850 Loss_G: 0.019205 Loss_D_real: -0.023179 Loss_D_fake -0.001329
[1156/5000][470/535][119266] Loss_D: -0.021379 Loss_G: 0.001232 Loss_D_real: -0.019161 Loss_D_fake 0.002218
[1156/5000][475/535][119267] Loss_D: -0.020898 Loss_G: 0.016828 Loss_D_real: -0.016618 Loss_D_fake 0.004279
[1156/5000][480/535][119268] Loss_D: -0.020488 Loss_G: 0.012445 Loss_D_real: -0.026902 Loss_D_fake -0.006414
[1156/5000][485/535][119269] Loss_D: -0.022134 Loss_G: 0.009762 Loss_D_real: -0.030055 Loss_D_fake -0.007921
[1156/5000][490/535][119270] Loss_D: -0.021024 Loss_G: 0.014570 Loss_D_real: -0.020621 Loss_D_fake 0.000403
[1156/5000][495/535][119271] Loss_D: -0.021920 Loss_G: 0.019758 Loss_D_real: -0.026414 Loss_D_fake -0.004494
[1156/5000][500/535][119272] Loss_D: -0.021195 Loss_G: -0.007893 Loss_D_real: -0.008869 Loss_D_fake 0.012326
[1156/5000][505/535][119273] Loss_D: -0.021672 Loss_G: 0.003509 Loss_D_real: -0.011642 Loss_D_fake 0.010030
[1156/5000][510/535][119274] Loss_D: -0.020652 Loss_G: -0.000218 Loss_D_real: 0.003861 Loss_D_fake 0.024513
[1156/5000][515/535][119275] Loss_D: -0.020958 Loss_G: 0.002998 Loss_D_real: -0.017258 Loss_D_fake 0.003700
[1156/5000][520/535][119276] Loss_D: -0.019301 Loss_G: 0.018996 Loss_D_real: -0.023450 Loss_D_fake -0.004149
[1156/5000][525/535][119277] Loss_D: -0.019793 Loss_G: 0.031624 Loss_D_real: -0.035531 Loss_D_fake -0.015738
[1156/5000][530/535][119278] Loss_D: -0.020157 Loss_G: 0.001414 Loss_D_real: -0.014173 Loss_D_fake 0.005984
[1156/5000][535/535][119279] Loss_D: -0.021414 Loss_G: 0.022022 Loss_D_real: -0.014647 Loss_D_fake 0.006766
[1157/5000][5/535][119280] Loss_D: -0.022313 Loss_G: 0.010125 Loss_D_real: -0.024267 Loss_D_fake -0.001954
[1157/5000][10/535][119281] Loss_D: -0.018460 Loss_G: 0.010253 Loss_D_real: -0.019516 Loss_D_fake -0.001055
[1157/5000][15/535][119282] Loss_D: -0.021411 Loss_G: 0.015314 Loss_D_real: -0.027117 Loss_D_fake -0.005706
[1157/5000][20/535][119283] Loss_D: -0.020282 Loss_G: -0.000770 Loss_D_real: -0.019150 Loss_D_fake 0.001132
[1157/5000][25/535][119284] Loss_D: -0.020938 Loss_G: 0.010869 Loss_D_real: -0.023839 Loss_D_fake -0.002902
[1157/5000][30/535][119285] Loss_D: -0.020520 Loss_G: 0.019626 Loss_D_real: -0.021931 Loss_D_fake -0.001411
[1157/5000][35/535][119286] Loss_D: -0.018831 Loss_G: -0.008566 Loss_D_real: -0.012749 Loss_D_fake 0.006081
[1157/5000][40/535][119287] Loss_D: -0.020646 Loss_G: 0.002797 Loss_D_real: -0.020805 Loss_D_fake -0.000159
[1157/5000][45/535][119288] Loss_D: -0.021029 Loss_G: -0.015187 Loss_D_real: -0.003842 Loss_D_fake 0.017187
[1157/5000][50/535][119289] Loss_D: -0.020174 Loss_G: 0.014495 Loss_D_real: -0.020427 Loss_D_fake -0.000253
[1157/5000][55/535][119290] Loss_D: -0.020794 Loss_G: -0.013578 Loss_D_real: -0.009482 Loss_D_fake 0.011312
[1157/5000][60/535][119291] Loss_D: -0.021423 Loss_G: 0.010656 Loss_D_real: -0.014016 Loss_D_fake 0.007407
[1157/5000][65/535][119292] Loss_D: -0.022923 Loss_G: 0.014274 Loss_D_real: -0.019095 Loss_D_fake 0.003828
[1157/5000][70/535][119293] Loss_D: -0.021408 Loss_G: 0.010413 Loss_D_real: -0.015273 Loss_D_fake 0.006135
[1157/5000][75/535][119294] Loss_D: -0.020539 Loss_G: 0.016590 Loss_D_real: -0.015673 Loss_D_fake 0.004866
[1157/5000][80/535][119295] Loss_D: -0.019096 Loss_G: 0.005806 Loss_D_real: -0.032203 Loss_D_fake -0.013107
[1157/5000][85/535][119296] Loss_D: -0.021605 Loss_G: 0.018691 Loss_D_real: -0.025174 Loss_D_fake -0.003569
[1157/5000][90/535][119297] Loss_D: -0.021581 Loss_G: 0.016920 Loss_D_real: -0.033749 Loss_D_fake -0.012168
[1157/5000][95/535][119298] Loss_D: -0.021049 Loss_G: -0.019490 Loss_D_real: -0.007483 Loss_D_fake 0.013566
[1157/5000][100/535][119299] Loss_D: -0.020710 Loss_G: 0.024768 Loss_D_real: -0.025979 Loss_D_fake -0.005270
[1157/5000][105/535][119300] Loss_D: -0.019521 Loss_G: 0.014986 Loss_D_real: -0.032682 Loss_D_fake -0.013160
[1157/5000][110/535][119301] Loss_D: -0.019448 Loss_G: 0.014269 Loss_D_real: -0.020165 Loss_D_fake -0.000718
[1157/5000][115/535][119302] Loss_D: -0.019375 Loss_G: 0.021372 Loss_D_real: -0.027494 Loss_D_fake -0.008120
[1157/5000][120/535][119303] Loss_D: -0.020967 Loss_G: 0.001076 Loss_D_real: -0.011941 Loss_D_fake 0.009026
[1157/5000][125/535][119304] Loss_D: -0.021122 Loss_G: 0.007006 Loss_D_real: -0.027118 Loss_D_fake -0.005996
[1157/5000][130/535][119305] Loss_D: -0.021596 Loss_G: -0.005923 Loss_D_real: -0.014482 Loss_D_fake 0.007114
[1157/5000][135/535][119306] Loss_D: -0.020915 Loss_G: -0.003295 Loss_D_real: -0.023158 Loss_D_fake -0.002243
[1157/5000][140/535][119307] Loss_D: -0.020394 Loss_G: 0.020015 Loss_D_real: -0.025047 Loss_D_fake -0.004653
[1157/5000][145/535][119308] Loss_D: -0.020685 Loss_G: 0.017987 Loss_D_real: -0.032146 Loss_D_fake -0.011461
[1157/5000][150/535][119309] Loss_D: -0.020729 Loss_G: -0.007542 Loss_D_real: -0.014388 Loss_D_fake 0.006341
[1157/5000][155/535][119310] Loss_D: -0.018613 Loss_G: 0.016924 Loss_D_real: -0.039328 Loss_D_fake -0.020715
[1157/5000][160/535][119311] Loss_D: -0.021368 Loss_G: 0.005880 Loss_D_real: -0.008978 Loss_D_fake 0.012390
[1157/5000][165/535][119312] Loss_D: -0.020455 Loss_G: 0.017949 Loss_D_real: -0.023916 Loss_D_fake -0.003462
[1157/5000][170/535][119313] Loss_D: -0.021892 Loss_G: -0.000010 Loss_D_real: -0.012206 Loss_D_fake 0.009687
[1157/5000][175/535][119314] Loss_D: -0.020886 Loss_G: 0.018805 Loss_D_real: -0.030379 Loss_D_fake -0.009493
[1157/5000][180/535][119315] Loss_D: -0.021845 Loss_G: 0.001692 Loss_D_real: -0.022855 Loss_D_fake -0.001010
[1157/5000][185/535][119316] Loss_D: -0.019672 Loss_G: -0.013313 Loss_D_real: 0.000588 Loss_D_fake 0.020259
[1157/5000][190/535][119317] Loss_D: -0.020189 Loss_G: 0.019364 Loss_D_real: -0.016878 Loss_D_fake 0.003311
[1157/5000][195/535][119318] Loss_D: -0.021543 Loss_G: -0.000624 Loss_D_real: -0.011524 Loss_D_fake 0.010019
[1157/5000][200/535][119319] Loss_D: -0.021218 Loss_G: 0.014822 Loss_D_real: -0.023985 Loss_D_fake -0.002767
[1157/5000][205/535][119320] Loss_D: -0.020444 Loss_G: 0.010873 Loss_D_real: -0.017247 Loss_D_fake 0.003197
[1157/5000][210/535][119321] Loss_D: -0.020878 Loss_G: 0.014136 Loss_D_real: -0.019448 Loss_D_fake 0.001430
[1157/5000][215/535][119322] Loss_D: -0.021059 Loss_G: 0.011713 Loss_D_real: -0.026984 Loss_D_fake -0.005924
[1157/5000][220/535][119323] Loss_D: -0.019507 Loss_G: -0.023795 Loss_D_real: 0.001598 Loss_D_fake 0.021105
[1157/5000][225/535][119324] Loss_D: -0.021697 Loss_G: 0.004666 Loss_D_real: -0.007184 Loss_D_fake 0.014513
[1157/5000][230/535][119325] Loss_D: -0.020980 Loss_G: 0.011909 Loss_D_real: -0.028830 Loss_D_fake -0.007850
[1157/5000][235/535][119326] Loss_D: -0.020536 Loss_G: -0.003027 Loss_D_real: -0.023989 Loss_D_fake -0.003452
[1157/5000][240/535][119327] Loss_D: -0.019673 Loss_G: 0.024998 Loss_D_real: -0.029336 Loss_D_fake -0.009662
[1157/5000][245/535][119328] Loss_D: -0.021174 Loss_G: -0.007812 Loss_D_real: -0.006135 Loss_D_fake 0.015039
[1157/5000][250/535][119329] Loss_D: -0.020277 Loss_G: 0.006976 Loss_D_real: -0.026007 Loss_D_fake -0.005730
[1157/5000][255/535][119330] Loss_D: -0.021547 Loss_G: 0.005985 Loss_D_real: -0.001633 Loss_D_fake 0.019914
[1157/5000][260/535][119331] Loss_D: -0.020170 Loss_G: 0.016773 Loss_D_real: -0.024702 Loss_D_fake -0.004532
[1157/5000][265/535][119332] Loss_D: -0.021440 Loss_G: 0.002509 Loss_D_real: -0.029172 Loss_D_fake -0.007732
[1157/5000][270/535][119333] Loss_D: -0.021452 Loss_G: 0.018419 Loss_D_real: -0.022205 Loss_D_fake -0.000753
[1157/5000][275/535][119334] Loss_D: -0.020063 Loss_G: -0.003251 Loss_D_real: -0.006308 Loss_D_fake 0.013755
[1157/5000][280/535][119335] Loss_D: -0.021158 Loss_G: 0.006191 Loss_D_real: -0.021268 Loss_D_fake -0.000110
[1157/5000][285/535][119336] Loss_D: -0.020711 Loss_G: -0.009304 Loss_D_real: -0.013464 Loss_D_fake 0.007247
[1157/5000][290/535][119337] Loss_D: -0.019707 Loss_G: 0.017384 Loss_D_real: -0.025714 Loss_D_fake -0.006007
[1157/5000][295/535][119338] Loss_D: -0.020862 Loss_G: 0.000219 Loss_D_real: -0.019521 Loss_D_fake 0.001340
[1157/5000][300/535][119339] Loss_D: -0.021572 Loss_G: 0.000663 Loss_D_real: -0.016232 Loss_D_fake 0.005340
[1157/5000][305/535][119340] Loss_D: -0.021113 Loss_G: 0.011407 Loss_D_real: -0.019042 Loss_D_fake 0.002071
[1157/5000][310/535][119341] Loss_D: -0.021070 Loss_G: 0.005705 Loss_D_real: -0.012084 Loss_D_fake 0.008986
[1157/5000][315/535][119342] Loss_D: -0.021082 Loss_G: 0.018442 Loss_D_real: -0.018482 Loss_D_fake 0.002600
[1157/5000][320/535][119343] Loss_D: -0.021690 Loss_G: 0.025759 Loss_D_real: -0.020735 Loss_D_fake 0.000956
[1157/5000][325/535][119344] Loss_D: -0.021520 Loss_G: 0.003244 Loss_D_real: -0.036880 Loss_D_fake -0.015359
[1157/5000][330/535][119345] Loss_D: -0.019398 Loss_G: 0.029155 Loss_D_real: -0.025688 Loss_D_fake -0.006290
[1157/5000][335/535][119346] Loss_D: -0.020766 Loss_G: 0.015825 Loss_D_real: -0.026504 Loss_D_fake -0.005738
[1157/5000][340/535][119347] Loss_D: -0.021916 Loss_G: -0.003063 Loss_D_real: -0.008114 Loss_D_fake 0.013802
[1157/5000][345/535][119348] Loss_D: -0.019640 Loss_G: 0.035781 Loss_D_real: -0.037341 Loss_D_fake -0.017701
[1157/5000][350/535][119349] Loss_D: -0.019647 Loss_G: 0.014506 Loss_D_real: -0.021757 Loss_D_fake -0.002110
[1157/5000][355/535][119350] Loss_D: -0.020761 Loss_G: -0.017390 Loss_D_real: 0.001336 Loss_D_fake 0.022096
[1157/5000][360/535][119351] Loss_D: -0.021921 Loss_G: -0.000439 Loss_D_real: -0.009939 Loss_D_fake 0.011983
[1157/5000][365/535][119352] Loss_D: -0.021125 Loss_G: 0.006112 Loss_D_real: -0.021628 Loss_D_fake -0.000503
[1157/5000][370/535][119353] Loss_D: -0.020873 Loss_G: 0.020059 Loss_D_real: -0.026204 Loss_D_fake -0.005330
[1157/5000][375/535][119354] Loss_D: -0.020182 Loss_G: 0.000040 Loss_D_real: -0.019039 Loss_D_fake 0.001143
[1157/5000][380/535][119355] Loss_D: -0.019792 Loss_G: 0.014538 Loss_D_real: -0.028941 Loss_D_fake -0.009149
[1157/5000][385/535][119356] Loss_D: -0.021916 Loss_G: -0.012077 Loss_D_real: -0.003265 Loss_D_fake 0.018651
[1157/5000][390/535][119357] Loss_D: -0.021625 Loss_G: 0.008154 Loss_D_real: -0.016928 Loss_D_fake 0.004696
[1157/5000][395/535][119358] Loss_D: -0.020225 Loss_G: 0.024513 Loss_D_real: -0.034691 Loss_D_fake -0.014466
[1157/5000][400/535][119359] Loss_D: -0.021082 Loss_G: -0.008142 Loss_D_real: 0.000650 Loss_D_fake 0.021732
[1157/5000][405/535][119360] Loss_D: -0.020622 Loss_G: 0.016982 Loss_D_real: -0.033734 Loss_D_fake -0.013113
[1157/5000][410/535][119361] Loss_D: -0.020714 Loss_G: -0.003558 Loss_D_real: -0.009514 Loss_D_fake 0.011200
[1157/5000][415/535][119362] Loss_D: -0.021770 Loss_G: -0.007334 Loss_D_real: -0.013928 Loss_D_fake 0.007842
[1157/5000][420/535][119363] Loss_D: -0.019993 Loss_G: 0.018213 Loss_D_real: -0.016218 Loss_D_fake 0.003775
[1157/5000][425/535][119364] Loss_D: -0.020228 Loss_G: 0.003216 Loss_D_real: -0.012221 Loss_D_fake 0.008007
[1157/5000][430/535][119365] Loss_D: -0.021029 Loss_G: 0.019847 Loss_D_real: -0.032797 Loss_D_fake -0.011768
[1157/5000][435/535][119366] Loss_D: -0.021050 Loss_G: 0.011351 Loss_D_real: -0.020487 Loss_D_fake 0.000564
[1157/5000][440/535][119367] Loss_D: -0.022028 Loss_G: 0.013492 Loss_D_real: -0.013666 Loss_D_fake 0.008362
[1157/5000][445/535][119368] Loss_D: -0.022720 Loss_G: -0.007384 Loss_D_real: -0.017973 Loss_D_fake 0.004747
[1157/5000][450/535][119369] Loss_D: -0.021124 Loss_G: 0.011796 Loss_D_real: -0.010743 Loss_D_fake 0.010381
[1157/5000][455/535][119370] Loss_D: -0.020568 Loss_G: -0.004433 Loss_D_real: -0.020361 Loss_D_fake 0.000207
[1157/5000][460/535][119371] Loss_D: -0.021155 Loss_G: 0.007221 Loss_D_real: -0.015965 Loss_D_fake 0.005190
[1157/5000][465/535][119372] Loss_D: -0.020547 Loss_G: 0.000107 Loss_D_real: -0.010487 Loss_D_fake 0.010060
[1157/5000][470/535][119373] Loss_D: -0.021056 Loss_G: -0.006021 Loss_D_real: -0.012416 Loss_D_fake 0.008640
[1157/5000][475/535][119374] Loss_D: -0.021314 Loss_G: -0.001963 Loss_D_real: -0.013110 Loss_D_fake 0.008203
[1157/5000][480/535][119375] Loss_D: -0.020903 Loss_G: 0.000076 Loss_D_real: -0.013764 Loss_D_fake 0.007138
[1157/5000][485/535][119376] Loss_D: -0.021423 Loss_G: 0.017888 Loss_D_real: -0.019638 Loss_D_fake 0.001785
[1157/5000][490/535][119377] Loss_D: -0.020971 Loss_G: 0.011126 Loss_D_real: -0.029248 Loss_D_fake -0.008277
[1157/5000][495/535][119378] Loss_D: -0.020034 Loss_G: 0.013450 Loss_D_real: -0.021491 Loss_D_fake -0.001458
[1157/5000][500/535][119379] Loss_D: -0.021349 Loss_G: 0.007531 Loss_D_real: -0.018874 Loss_D_fake 0.002475
[1157/5000][505/535][119380] Loss_D: -0.020798 Loss_G: 0.016351 Loss_D_real: -0.022956 Loss_D_fake -0.002158
[1157/5000][510/535][119381] Loss_D: -0.021053 Loss_G: 0.000797 Loss_D_real: 0.001725 Loss_D_fake 0.022778
[1157/5000][515/535][119382] Loss_D: -0.020430 Loss_G: 0.015855 Loss_D_real: -0.021991 Loss_D_fake -0.001561
[1157/5000][520/535][119383] Loss_D: -0.020723 Loss_G: -0.008399 Loss_D_real: -0.000077 Loss_D_fake 0.020646
[1157/5000][525/535][119384] Loss_D: -0.020397 Loss_G: -0.007202 Loss_D_real: -0.006037 Loss_D_fake 0.014360
[1157/5000][530/535][119385] Loss_D: -0.020855 Loss_G: 0.026726 Loss_D_real: -0.035092 Loss_D_fake -0.014237
[1157/5000][535/535][119386] Loss_D: -0.019043 Loss_G: -0.028965 Loss_D_real: -0.015108 Loss_D_fake 0.003934
[1158/5000][5/535][119387] Loss_D: -0.020090 Loss_G: 0.003123 Loss_D_real: -0.016767 Loss_D_fake 0.003322
[1158/5000][10/535][119388] Loss_D: -0.021397 Loss_G: 0.003107 Loss_D_real: -0.007771 Loss_D_fake 0.013626
[1158/5000][15/535][119389] Loss_D: -0.021584 Loss_G: -0.003836 Loss_D_real: -0.012126 Loss_D_fake 0.009458
[1158/5000][20/535][119390] Loss_D: -0.020720 Loss_G: 0.009223 Loss_D_real: -0.014707 Loss_D_fake 0.006013
[1158/5000][25/535][119391] Loss_D: -0.021888 Loss_G: 0.024394 Loss_D_real: -0.026426 Loss_D_fake -0.004538
[1158/5000][30/535][119392] Loss_D: -0.021599 Loss_G: -0.001643 Loss_D_real: -0.012177 Loss_D_fake 0.009421
[1158/5000][35/535][119393] Loss_D: -0.021494 Loss_G: -0.010177 Loss_D_real: -0.007114 Loss_D_fake 0.014380
[1158/5000][40/535][119394] Loss_D: -0.020544 Loss_G: 0.019101 Loss_D_real: -0.028496 Loss_D_fake -0.007952
[1158/5000][45/535][119395] Loss_D: -0.021046 Loss_G: -0.005748 Loss_D_real: -0.004659 Loss_D_fake 0.016387
[1158/5000][50/535][119396] Loss_D: -0.020491 Loss_G: 0.028665 Loss_D_real: -0.028291 Loss_D_fake -0.007800
[1158/5000][55/535][119397] Loss_D: -0.020861 Loss_G: 0.017130 Loss_D_real: -0.023316 Loss_D_fake -0.002456
[1158/5000][60/535][119398] Loss_D: -0.020726 Loss_G: 0.001488 Loss_D_real: -0.013671 Loss_D_fake 0.007055
[1158/5000][65/535][119399] Loss_D: -0.019202 Loss_G: 0.014818 Loss_D_real: -0.029883 Loss_D_fake -0.010681
[1158/5000][70/535][119400] Loss_D: -0.020630 Loss_G: -0.004332 Loss_D_real: -0.010000 Loss_D_fake 0.010629
[1158/5000][75/535][119401] Loss_D: -0.020604 Loss_G: -0.020287 Loss_D_real: -0.001877 Loss_D_fake 0.018727
[1158/5000][80/535][119402] Loss_D: -0.019740 Loss_G: 0.023745 Loss_D_real: -0.027900 Loss_D_fake -0.008160
[1158/5000][85/535][119403] Loss_D: -0.020246 Loss_G: -0.003744 Loss_D_real: -0.003330 Loss_D_fake 0.016916
[1158/5000][90/535][119404] Loss_D: -0.020146 Loss_G: 0.006338 Loss_D_real: -0.017217 Loss_D_fake 0.002929
[1158/5000][95/535][119405] Loss_D: -0.020398 Loss_G: 0.006227 Loss_D_real: -0.019179 Loss_D_fake 0.001219
[1158/5000][100/535][119406] Loss_D: -0.020022 Loss_G: 0.013325 Loss_D_real: -0.027730 Loss_D_fake -0.007708
[1158/5000][105/535][119407] Loss_D: -0.019750 Loss_G: 0.008287 Loss_D_real: -0.026053 Loss_D_fake -0.006303
[1158/5000][110/535][119408] Loss_D: -0.021423 Loss_G: -0.012250 Loss_D_real: -0.012353 Loss_D_fake 0.009069
[1158/5000][115/535][119409] Loss_D: -0.021021 Loss_G: 0.017126 Loss_D_real: -0.026043 Loss_D_fake -0.005023
[1158/5000][120/535][119410] Loss_D: -0.021825 Loss_G: 0.007337 Loss_D_real: -0.007808 Loss_D_fake 0.014016
[1158/5000][125/535][119411] Loss_D: -0.022337 Loss_G: 0.008915 Loss_D_real: -0.021873 Loss_D_fake 0.000464
[1158/5000][130/535][119412] Loss_D: -0.020635 Loss_G: 0.028455 Loss_D_real: -0.031043 Loss_D_fake -0.010408
[1158/5000][135/535][119413] Loss_D: -0.020595 Loss_G: 0.013089 Loss_D_real: -0.018975 Loss_D_fake 0.001620
[1158/5000][140/535][119414] Loss_D: -0.021673 Loss_G: 0.016538 Loss_D_real: -0.034634 Loss_D_fake -0.012961
[1158/5000][145/535][119415] Loss_D: -0.022990 Loss_G: 0.003127 Loss_D_real: -0.023770 Loss_D_fake -0.000780
[1158/5000][150/535][119416] Loss_D: -0.021479 Loss_G: 0.001603 Loss_D_real: -0.013177 Loss_D_fake 0.008301
[1158/5000][155/535][119417] Loss_D: -0.021801 Loss_G: 0.003652 Loss_D_real: -0.011578 Loss_D_fake 0.010223
[1158/5000][160/535][119418] Loss_D: -0.020822 Loss_G: -0.001015 Loss_D_real: -0.011831 Loss_D_fake 0.008991
[1158/5000][165/535][119419] Loss_D: -0.020424 Loss_G: -0.009359 Loss_D_real: 0.000426 Loss_D_fake 0.020850
[1158/5000][170/535][119420] Loss_D: -0.020414 Loss_G: 0.005445 Loss_D_real: -0.015315 Loss_D_fake 0.005099
[1158/5000][175/535][119421] Loss_D: -0.021253 Loss_G: 0.007989 Loss_D_real: -0.023503 Loss_D_fake -0.002250
[1158/5000][180/535][119422] Loss_D: -0.021815 Loss_G: 0.007508 Loss_D_real: -0.015915 Loss_D_fake 0.005900
[1158/5000][185/535][119423] Loss_D: -0.021127 Loss_G: 0.014175 Loss_D_real: -0.027204 Loss_D_fake -0.006077
[1158/5000][190/535][119424] Loss_D: -0.020773 Loss_G: 0.010124 Loss_D_real: -0.021745 Loss_D_fake -0.000972
[1158/5000][195/535][119425] Loss_D: -0.020904 Loss_G: 0.018055 Loss_D_real: -0.020209 Loss_D_fake 0.000695
[1158/5000][200/535][119426] Loss_D: -0.021614 Loss_G: -0.003820 Loss_D_real: -0.021335 Loss_D_fake 0.000279
[1158/5000][205/535][119427] Loss_D: -0.021080 Loss_G: -0.001612 Loss_D_real: -0.011436 Loss_D_fake 0.009644
[1158/5000][210/535][119428] Loss_D: -0.021536 Loss_G: 0.026640 Loss_D_real: -0.020347 Loss_D_fake 0.001188
[1158/5000][215/535][119429] Loss_D: -0.021611 Loss_G: -0.015289 Loss_D_real: -0.005232 Loss_D_fake 0.016379
[1158/5000][220/535][119430] Loss_D: -0.020427 Loss_G: 0.015737 Loss_D_real: -0.025916 Loss_D_fake -0.005489
[1158/5000][225/535][119431] Loss_D: -0.022061 Loss_G: 0.009883 Loss_D_real: -0.011607 Loss_D_fake 0.010454
[1158/5000][230/535][119432] Loss_D: -0.019379 Loss_G: 0.010484 Loss_D_real: -0.013571 Loss_D_fake 0.005808
[1158/5000][235/535][119433] Loss_D: -0.020998 Loss_G: -0.014265 Loss_D_real: -0.005915 Loss_D_fake 0.015083
[1158/5000][240/535][119434] Loss_D: -0.020176 Loss_G: 0.019066 Loss_D_real: -0.031627 Loss_D_fake -0.011450
[1158/5000][245/535][119435] Loss_D: -0.020111 Loss_G: -0.003740 Loss_D_real: -0.020757 Loss_D_fake -0.000646
[1158/5000][250/535][119436] Loss_D: -0.019798 Loss_G: 0.024392 Loss_D_real: -0.035028 Loss_D_fake -0.015230
[1158/5000][255/535][119437] Loss_D: -0.019642 Loss_G: 0.023119 Loss_D_real: -0.028854 Loss_D_fake -0.009212
[1158/5000][260/535][119438] Loss_D: -0.021021 Loss_G: 0.004267 Loss_D_real: -0.004548 Loss_D_fake 0.016472
[1158/5000][265/535][119439] Loss_D: -0.022145 Loss_G: 0.018591 Loss_D_real: -0.024744 Loss_D_fake -0.002599
[1158/5000][270/535][119440] Loss_D: -0.021491 Loss_G: 0.016589 Loss_D_real: -0.036169 Loss_D_fake -0.014678
[1158/5000][275/535][119441] Loss_D: -0.020342 Loss_G: 0.020817 Loss_D_real: -0.019810 Loss_D_fake 0.000532
[1158/5000][280/535][119442] Loss_D: -0.021186 Loss_G: -0.000114 Loss_D_real: -0.008327 Loss_D_fake 0.012860
[1158/5000][285/535][119443] Loss_D: -0.021080 Loss_G: 0.012758 Loss_D_real: -0.015450 Loss_D_fake 0.005630
[1158/5000][290/535][119444] Loss_D: -0.020192 Loss_G: -0.007230 Loss_D_real: -0.010918 Loss_D_fake 0.009275
[1158/5000][295/535][119445] Loss_D: -0.020883 Loss_G: 0.006379 Loss_D_real: -0.005804 Loss_D_fake 0.015079
[1158/5000][300/535][119446] Loss_D: -0.021818 Loss_G: 0.009689 Loss_D_real: -0.024604 Loss_D_fake -0.002786
[1158/5000][305/535][119447] Loss_D: -0.021296 Loss_G: -0.009858 Loss_D_real: -0.008457 Loss_D_fake 0.012839
[1158/5000][310/535][119448] Loss_D: -0.019548 Loss_G: 0.005301 Loss_D_real: -0.025060 Loss_D_fake -0.005512
[1158/5000][315/535][119449] Loss_D: -0.020494 Loss_G: 0.008273 Loss_D_real: -0.011438 Loss_D_fake 0.009056
[1158/5000][320/535][119450] Loss_D: -0.021729 Loss_G: -0.006472 Loss_D_real: -0.013455 Loss_D_fake 0.008274
[1158/5000][325/535][119451] Loss_D: -0.021435 Loss_G: 0.028475 Loss_D_real: -0.023101 Loss_D_fake -0.001666
[1158/5000][330/535][119452] Loss_D: -0.021131 Loss_G: 0.005747 Loss_D_real: -0.020425 Loss_D_fake 0.000706
[1158/5000][335/535][119453] Loss_D: -0.020603 Loss_G: 0.009937 Loss_D_real: -0.020828 Loss_D_fake -0.000224
[1158/5000][340/535][119454] Loss_D: -0.020997 Loss_G: -0.022230 Loss_D_real: -0.003512 Loss_D_fake 0.017486
[1158/5000][345/535][119455] Loss_D: -0.022498 Loss_G: 0.010865 Loss_D_real: -0.020570 Loss_D_fake 0.001927
[1158/5000][350/535][119456] Loss_D: -0.020562 Loss_G: 0.002167 Loss_D_real: -0.017483 Loss_D_fake 0.003079
[1158/5000][355/535][119457] Loss_D: -0.019933 Loss_G: 0.020918 Loss_D_real: -0.028106 Loss_D_fake -0.008173
[1158/5000][360/535][119458] Loss_D: -0.021712 Loss_G: 0.006207 Loss_D_real: -0.000877 Loss_D_fake 0.020835
[1158/5000][365/535][119459] Loss_D: -0.019109 Loss_G: 0.019861 Loss_D_real: -0.031355 Loss_D_fake -0.012246
[1158/5000][370/535][119460] Loss_D: -0.020914 Loss_G: 0.006844 Loss_D_real: -0.024438 Loss_D_fake -0.003525
[1158/5000][375/535][119461] Loss_D: -0.022705 Loss_G: 0.019008 Loss_D_real: -0.022216 Loss_D_fake 0.000490
[1158/5000][380/535][119462] Loss_D: -0.020129 Loss_G: -0.000133 Loss_D_real: -0.017275 Loss_D_fake 0.002854
[1158/5000][385/535][119463] Loss_D: -0.021142 Loss_G: -0.015009 Loss_D_real: -0.011391 Loss_D_fake 0.009751
[1158/5000][390/535][119464] Loss_D: -0.020840 Loss_G: -0.002551 Loss_D_real: -0.016076 Loss_D_fake 0.004764
[1158/5000][395/535][119465] Loss_D: -0.021362 Loss_G: 0.009718 Loss_D_real: -0.012604 Loss_D_fake 0.008758
[1158/5000][400/535][119466] Loss_D: -0.020342 Loss_G: 0.004190 Loss_D_real: -0.021872 Loss_D_fake -0.001530
[1158/5000][405/535][119467] Loss_D: -0.021163 Loss_G: 0.013070 Loss_D_real: -0.025914 Loss_D_fake -0.004750
[1158/5000][410/535][119468] Loss_D: -0.022133 Loss_G: 0.003578 Loss_D_real: -0.012317 Loss_D_fake 0.009816
[1158/5000][415/535][119469] Loss_D: -0.019986 Loss_G: 0.025453 Loss_D_real: -0.025919 Loss_D_fake -0.005933
[1158/5000][420/535][119470] Loss_D: -0.019850 Loss_G: 0.002723 Loss_D_real: -0.012510 Loss_D_fake 0.007340
[1158/5000][425/535][119471] Loss_D: -0.021403 Loss_G: 0.021105 Loss_D_real: -0.030792 Loss_D_fake -0.009389
[1158/5000][430/535][119472] Loss_D: -0.020702 Loss_G: -0.006542 Loss_D_real: -0.011044 Loss_D_fake 0.009657
[1158/5000][435/535][119473] Loss_D: -0.020739 Loss_G: 0.014041 Loss_D_real: -0.022896 Loss_D_fake -0.002157
[1158/5000][440/535][119474] Loss_D: -0.021716 Loss_G: 0.005495 Loss_D_real: -0.021066 Loss_D_fake 0.000650
[1158/5000][445/535][119475] Loss_D: -0.021655 Loss_G: 0.027939 Loss_D_real: -0.026985 Loss_D_fake -0.005330
[1158/5000][450/535][119476] Loss_D: -0.020179 Loss_G: 0.008764 Loss_D_real: -0.019000 Loss_D_fake 0.001179
[1158/5000][455/535][119477] Loss_D: -0.020694 Loss_G: -0.002580 Loss_D_real: -0.001761 Loss_D_fake 0.018933
[1158/5000][460/535][119478] Loss_D: -0.020937 Loss_G: 0.019485 Loss_D_real: -0.032079 Loss_D_fake -0.011143
[1158/5000][465/535][119479] Loss_D: -0.019921 Loss_G: 0.004465 Loss_D_real: -0.016165 Loss_D_fake 0.003756
[1158/5000][470/535][119480] Loss_D: -0.020045 Loss_G: 0.025971 Loss_D_real: -0.027825 Loss_D_fake -0.007780
[1158/5000][475/535][119481] Loss_D: -0.021865 Loss_G: 0.005852 Loss_D_real: -0.020606 Loss_D_fake 0.001259
[1158/5000][480/535][119482] Loss_D: -0.021247 Loss_G: 0.004872 Loss_D_real: -0.013457 Loss_D_fake 0.007790
[1158/5000][485/535][119483] Loss_D: -0.021279 Loss_G: 0.011672 Loss_D_real: -0.017506 Loss_D_fake 0.003774
[1158/5000][490/535][119484] Loss_D: -0.020009 Loss_G: 0.001355 Loss_D_real: -0.026612 Loss_D_fake -0.006603
[1158/5000][495/535][119485] Loss_D: -0.021108 Loss_G: 0.010274 Loss_D_real: -0.026326 Loss_D_fake -0.005219
[1158/5000][500/535][119486] Loss_D: -0.021524 Loss_G: 0.003342 Loss_D_real: -0.009508 Loss_D_fake 0.012017
[1158/5000][505/535][119487] Loss_D: -0.021104 Loss_G: 0.020885 Loss_D_real: -0.022263 Loss_D_fake -0.001159
[1158/5000][510/535][119488] Loss_D: -0.021135 Loss_G: 0.010504 Loss_D_real: -0.019231 Loss_D_fake 0.001904
[1158/5000][515/535][119489] Loss_D: -0.021335 Loss_G: 0.011702 Loss_D_real: -0.023587 Loss_D_fake -0.002252
[1158/5000][520/535][119490] Loss_D: -0.020475 Loss_G: 0.017403 Loss_D_real: -0.027975 Loss_D_fake -0.007500
[1158/5000][525/535][119491] Loss_D: -0.022650 Loss_G: 0.001516 Loss_D_real: -0.031129 Loss_D_fake -0.008479
[1158/5000][530/535][119492] Loss_D: -0.017441 Loss_G: 0.034460 Loss_D_real: -0.043566 Loss_D_fake -0.026125
[1158/5000][535/535][119493] Loss_D: -0.018398 Loss_G: 0.009613 Loss_D_real: -0.014864 Loss_D_fake 0.003534
[1159/5000][5/535][119494] Loss_D: -0.020268 Loss_G: 0.014456 Loss_D_real: -0.021528 Loss_D_fake -0.001260
[1159/5000][10/535][119495] Loss_D: -0.022227 Loss_G: 0.006068 Loss_D_real: -0.021379 Loss_D_fake 0.000847
[1159/5000][15/535][119496] Loss_D: -0.021842 Loss_G: -0.000004 Loss_D_real: -0.022041 Loss_D_fake -0.000200
[1159/5000][20/535][119497] Loss_D: -0.020257 Loss_G: -0.012669 Loss_D_real: -0.000197 Loss_D_fake 0.020059
[1159/5000][25/535][119498] Loss_D: -0.020439 Loss_G: -0.004436 Loss_D_real: -0.007485 Loss_D_fake 0.012954
[1159/5000][30/535][119499] Loss_D: -0.020282 Loss_G: -0.009905 Loss_D_real: -0.005245 Loss_D_fake 0.015037
[1159/5000][35/535][119500] Loss_D: -0.020039 Loss_G: 0.000167 Loss_D_real: -0.017607 Loss_D_fake 0.002432
[1159/5000][135/535][119501] Loss_D: -0.021508 Loss_G: -0.011690 Loss_D_real: 0.000561 Loss_D_fake 0.022069
[1159/5000][140/535][119502] Loss_D: -0.023432 Loss_G: -0.007485 Loss_D_real: -0.014488 Loss_D_fake 0.008944
[1159/5000][145/535][119503] Loss_D: -0.020799 Loss_G: 0.016520 Loss_D_real: -0.020217 Loss_D_fake 0.000582
[1159/5000][150/535][119504] Loss_D: -0.020100 Loss_G: 0.003071 Loss_D_real: -0.017364 Loss_D_fake 0.002735
[1159/5000][155/535][119505] Loss_D: -0.021058 Loss_G: 0.008069 Loss_D_real: -0.027285 Loss_D_fake -0.006226
[1159/5000][160/535][119506] Loss_D: -0.021371 Loss_G: -0.002032 Loss_D_real: 0.002664 Loss_D_fake 0.024035
[1159/5000][165/535][119507] Loss_D: -0.018837 Loss_G: 0.012819 Loss_D_real: -0.027589 Loss_D_fake -0.008753
[1159/5000][170/535][119508] Loss_D: -0.019458 Loss_G: -0.003743 Loss_D_real: 0.000195 Loss_D_fake 0.019653
[1159/5000][175/535][119509] Loss_D: -0.020224 Loss_G: 0.024574 Loss_D_real: -0.027836 Loss_D_fake -0.007612
[1159/5000][180/535][119510] Loss_D: -0.019264 Loss_G: -0.001218 Loss_D_real: -0.007513 Loss_D_fake 0.011752
[1159/5000][185/535][119511] Loss_D: -0.019865 Loss_G: -0.009841 Loss_D_real: -0.009157 Loss_D_fake 0.010709
[1159/5000][190/535][119512] Loss_D: -0.019465 Loss_G: -0.008596 Loss_D_real: 0.001306 Loss_D_fake 0.020771
[1159/5000][195/535][119513] Loss_D: -0.019354 Loss_G: 0.000627 Loss_D_real: -0.004960 Loss_D_fake 0.014393
[1159/5000][200/535][119514] Loss_D: -0.021348 Loss_G: 0.000306 Loss_D_real: -0.014987 Loss_D_fake 0.006360
[1159/5000][205/535][119515] Loss_D: -0.019489 Loss_G: 0.018247 Loss_D_real: -0.023468 Loss_D_fake -0.003980
[1159/5000][210/535][119516] Loss_D: -0.021210 Loss_G: 0.011738 Loss_D_real: -0.022173 Loss_D_fake -0.000963
[1159/5000][215/535][119517] Loss_D: -0.019299 Loss_G: -0.016850 Loss_D_real: -0.004049 Loss_D_fake 0.015250
[1159/5000][220/535][119518] Loss_D: -0.019950 Loss_G: 0.016970 Loss_D_real: -0.026084 Loss_D_fake -0.006134
[1159/5000][225/535][119519] Loss_D: -0.019396 Loss_G: 0.023625 Loss_D_real: -0.033874 Loss_D_fake -0.014477
[1159/5000][230/535][119520] Loss_D: -0.020555 Loss_G: 0.016428 Loss_D_real: -0.022028 Loss_D_fake -0.001473
[1159/5000][235/535][119521] Loss_D: -0.021239 Loss_G: 0.004528 Loss_D_real: -0.021738 Loss_D_fake -0.000499
[1159/5000][240/535][119522] Loss_D: -0.021418 Loss_G: 0.015062 Loss_D_real: -0.011884 Loss_D_fake 0.009535
[1159/5000][245/535][119523] Loss_D: -0.020727 Loss_G: -0.001222 Loss_D_real: -0.012755 Loss_D_fake 0.007972
[1159/5000][250/535][119524] Loss_D: -0.019561 Loss_G: 0.009349 Loss_D_real: -0.027914 Loss_D_fake -0.008353
[1159/5000][255/535][119525] Loss_D: -0.020369 Loss_G: 0.013641 Loss_D_real: -0.031387 Loss_D_fake -0.011018
[1159/5000][260/535][119526] Loss_D: -0.020723 Loss_G: -0.010409 Loss_D_real: -0.008415 Loss_D_fake 0.012307
[1159/5000][265/535][119527] Loss_D: -0.021373 Loss_G: 0.012894 Loss_D_real: -0.008945 Loss_D_fake 0.012428
[1159/5000][270/535][119528] Loss_D: -0.021189 Loss_G: 0.008201 Loss_D_real: -0.018008 Loss_D_fake 0.003181
[1159/5000][275/535][119529] Loss_D: -0.021752 Loss_G: 0.007708 Loss_D_real: -0.019076 Loss_D_fake 0.002676
[1159/5000][280/535][119530] Loss_D: -0.020655 Loss_G: 0.005093 Loss_D_real: -0.004147 Loss_D_fake 0.016507
[1159/5000][285/535][119531] Loss_D: -0.020942 Loss_G: 0.007408 Loss_D_real: -0.022942 Loss_D_fake -0.002000
[1159/5000][290/535][119532] Loss_D: -0.020614 Loss_G: 0.009982 Loss_D_real: -0.015661 Loss_D_fake 0.004954
[1159/5000][295/535][119533] Loss_D: -0.022004 Loss_G: 0.017863 Loss_D_real: -0.013776 Loss_D_fake 0.008228
[1159/5000][300/535][119534] Loss_D: -0.021711 Loss_G: 0.019422 Loss_D_real: -0.020509 Loss_D_fake 0.001202
[1159/5000][305/535][119535] Loss_D: -0.020310 Loss_G: 0.021863 Loss_D_real: -0.029007 Loss_D_fake -0.008697
[1159/5000][310/535][119536] Loss_D: -0.021672 Loss_G: 0.014109 Loss_D_real: -0.032360 Loss_D_fake -0.010688
[1159/5000][315/535][119537] Loss_D: -0.019072 Loss_G: -0.004790 Loss_D_real: -0.000211 Loss_D_fake 0.018861
[1159/5000][320/535][119538] Loss_D: -0.020630 Loss_G: 0.020448 Loss_D_real: -0.026373 Loss_D_fake -0.005743
[1159/5000][325/535][119539] Loss_D: -0.021443 Loss_G: 0.016733 Loss_D_real: -0.022680 Loss_D_fake -0.001237
[1159/5000][330/535][119540] Loss_D: -0.019839 Loss_G: 0.015670 Loss_D_real: -0.037935 Loss_D_fake -0.018096
[1159/5000][335/535][119541] Loss_D: -0.022801 Loss_G: -0.004276 Loss_D_real: -0.016461 Loss_D_fake 0.006340
[1159/5000][340/535][119542] Loss_D: -0.019657 Loss_G: -0.014260 Loss_D_real: -0.004531 Loss_D_fake 0.015126
[1159/5000][345/535][119543] Loss_D: -0.020621 Loss_G: 0.006029 Loss_D_real: -0.017625 Loss_D_fake 0.002996
[1159/5000][350/535][119544] Loss_D: -0.021326 Loss_G: -0.015210 Loss_D_real: -0.005747 Loss_D_fake 0.015580
[1159/5000][355/535][119545] Loss_D: -0.021456 Loss_G: -0.016867 Loss_D_real: -0.015150 Loss_D_fake 0.006306
[1159/5000][360/535][119546] Loss_D: -0.019979 Loss_G: 0.023738 Loss_D_real: -0.021819 Loss_D_fake -0.001839
[1159/5000][365/535][119547] Loss_D: -0.020542 Loss_G: -0.000851 Loss_D_real: -0.011355 Loss_D_fake 0.009186
[1159/5000][370/535][119548] Loss_D: -0.020468 Loss_G: 0.019073 Loss_D_real: -0.019832 Loss_D_fake 0.000636
[1159/5000][375/535][119549] Loss_D: -0.019695 Loss_G: -0.009989 Loss_D_real: 0.000049 Loss_D_fake 0.019744
[1159/5000][380/535][119550] Loss_D: -0.020826 Loss_G: -0.000566 Loss_D_real: -0.006005 Loss_D_fake 0.014821
[1159/5000][385/535][119551] Loss_D: -0.020640 Loss_G: 0.029917 Loss_D_real: -0.028515 Loss_D_fake -0.007875
[1159/5000][390/535][119552] Loss_D: -0.020773 Loss_G: 0.024983 Loss_D_real: -0.016372 Loss_D_fake 0.004401
[1159/5000][395/535][119553] Loss_D: -0.021404 Loss_G: -0.006660 Loss_D_real: 0.003154 Loss_D_fake 0.024558
[1159/5000][400/535][119554] Loss_D: -0.020504 Loss_G: 0.002728 Loss_D_real: -0.024461 Loss_D_fake -0.003957
[1159/5000][405/535][119555] Loss_D: -0.020879 Loss_G: 0.016446 Loss_D_real: -0.019464 Loss_D_fake 0.001415
[1159/5000][410/535][119556] Loss_D: -0.021444 Loss_G: 0.024957 Loss_D_real: -0.025709 Loss_D_fake -0.004265
[1159/5000][415/535][119557] Loss_D: -0.020422 Loss_G: 0.005214 Loss_D_real: -0.017498 Loss_D_fake 0.002925
[1159/5000][420/535][119558] Loss_D: -0.021275 Loss_G: 0.022041 Loss_D_real: -0.029078 Loss_D_fake -0.007803
[1159/5000][425/535][119559] Loss_D: -0.021521 Loss_G: -0.014712 Loss_D_real: -0.011703 Loss_D_fake 0.009818
[1159/5000][430/535][119560] Loss_D: -0.021525 Loss_G: 0.000664 Loss_D_real: -0.014065 Loss_D_fake 0.007460
[1159/5000][435/535][119561] Loss_D: -0.019765 Loss_G: 0.024614 Loss_D_real: -0.023461 Loss_D_fake -0.003695
[1159/5000][440/535][119562] Loss_D: -0.020049 Loss_G: -0.009203 Loss_D_real: -0.001936 Loss_D_fake 0.018114
[1159/5000][445/535][119563] Loss_D: -0.020348 Loss_G: -0.007104 Loss_D_real: -0.013215 Loss_D_fake 0.007133
[1159/5000][450/535][119564] Loss_D: -0.020323 Loss_G: 0.016739 Loss_D_real: -0.024033 Loss_D_fake -0.003710
[1159/5000][455/535][119565] Loss_D: -0.022084 Loss_G: 0.009066 Loss_D_real: -0.013202 Loss_D_fake 0.008882
[1159/5000][460/535][119566] Loss_D: -0.020765 Loss_G: 0.022144 Loss_D_real: -0.024826 Loss_D_fake -0.004061
[1159/5000][465/535][119567] Loss_D: -0.021977 Loss_G: 0.012142 Loss_D_real: -0.020659 Loss_D_fake 0.001318
[1159/5000][470/535][119568] Loss_D: -0.021575 Loss_G: 0.017753 Loss_D_real: -0.013390 Loss_D_fake 0.008185
[1159/5000][475/535][119569] Loss_D: -0.020320 Loss_G: 0.011080 Loss_D_real: -0.026438 Loss_D_fake -0.006118
[1159/5000][480/535][119570] Loss_D: -0.022349 Loss_G: -0.006485 Loss_D_real: -0.015577 Loss_D_fake 0.006772
[1159/5000][485/535][119571] Loss_D: -0.020564 Loss_G: 0.000078 Loss_D_real: -0.008489 Loss_D_fake 0.012075
[1159/5000][490/535][119572] Loss_D: -0.019998 Loss_G: -0.006025 Loss_D_real: -0.004256 Loss_D_fake 0.015742
[1159/5000][495/535][119573] Loss_D: -0.018237 Loss_G: -0.016267 Loss_D_real: -0.005981 Loss_D_fake 0.012256
[1159/5000][500/535][119574] Loss_D: -0.019093 Loss_G: -0.003914 Loss_D_real: -0.020019 Loss_D_fake -0.000926
[1159/5000][505/535][119575] Loss_D: -0.019490 Loss_G: 0.027063 Loss_D_real: -0.027493 Loss_D_fake -0.008003
[1159/5000][510/535][119576] Loss_D: -0.021896 Loss_G: -0.002776 Loss_D_real: -0.014723 Loss_D_fake 0.007173
[1159/5000][515/535][119577] Loss_D: -0.021130 Loss_G: 0.004618 Loss_D_real: -0.016654 Loss_D_fake 0.004476
[1159/5000][520/535][119578] Loss_D: -0.019966 Loss_G: -0.005559 Loss_D_real: -0.004210 Loss_D_fake 0.015756
[1159/5000][525/535][119579] Loss_D: -0.020613 Loss_G: 0.010985 Loss_D_real: -0.026482 Loss_D_fake -0.005869
[1159/5000][530/535][119580] Loss_D: -0.018745 Loss_G: -0.022018 Loss_D_real: 0.007850 Loss_D_fake 0.026596
[1159/5000][535/535][119581] Loss_D: -0.018983 Loss_G: 0.019631 Loss_D_real: -0.021884 Loss_D_fake -0.002901
[1160/5000][5/535][119582] Loss_D: -0.022121 Loss_G: -0.008936 Loss_D_real: -0.014143 Loss_D_fake 0.007978
[1160/5000][10/535][119583] Loss_D: -0.021825 Loss_G: 0.014787 Loss_D_real: -0.016571 Loss_D_fake 0.005254
[1160/5000][15/535][119584] Loss_D: -0.020048 Loss_G: 0.022463 Loss_D_real: -0.023045 Loss_D_fake -0.002996
[1160/5000][20/535][119585] Loss_D: -0.021841 Loss_G: -0.008335 Loss_D_real: -0.013905 Loss_D_fake 0.007936
[1160/5000][25/535][119586] Loss_D: -0.020517 Loss_G: 0.018319 Loss_D_real: -0.023330 Loss_D_fake -0.002812
[1160/5000][30/535][119587] Loss_D: -0.021554 Loss_G: -0.007378 Loss_D_real: -0.025102 Loss_D_fake -0.003548
[1160/5000][35/535][119588] Loss_D: -0.020253 Loss_G: 0.013506 Loss_D_real: -0.026363 Loss_D_fake -0.006110
[1160/5000][40/535][119589] Loss_D: -0.021232 Loss_G: 0.025946 Loss_D_real: -0.029125 Loss_D_fake -0.007893
[1160/5000][45/535][119590] Loss_D: -0.020376 Loss_G: -0.004448 Loss_D_real: -0.004903 Loss_D_fake 0.015472
[1160/5000][50/535][119591] Loss_D: -0.019611 Loss_G: 0.025685 Loss_D_real: -0.024672 Loss_D_fake -0.005060
[1160/5000][55/535][119592] Loss_D: -0.021769 Loss_G: 0.006722 Loss_D_real: -0.022175 Loss_D_fake -0.000406
[1160/5000][60/535][119593] Loss_D: -0.020878 Loss_G: -0.008650 Loss_D_real: -0.018018 Loss_D_fake 0.002861
[1160/5000][65/535][119594] Loss_D: -0.020753 Loss_G: 0.017147 Loss_D_real: -0.032931 Loss_D_fake -0.012179
[1160/5000][70/535][119595] Loss_D: -0.021101 Loss_G: 0.005076 Loss_D_real: -0.015262 Loss_D_fake 0.005839
[1160/5000][75/535][119596] Loss_D: -0.021407 Loss_G: 0.012846 Loss_D_real: -0.022962 Loss_D_fake -0.001555
[1160/5000][80/535][119597] Loss_D: -0.020900 Loss_G: -0.004826 Loss_D_real: -0.017855 Loss_D_fake 0.003045
[1160/5000][85/535][119598] Loss_D: -0.018517 Loss_G: 0.025460 Loss_D_real: -0.031718 Loss_D_fake -0.013202
[1160/5000][90/535][119599] Loss_D: -0.020266 Loss_G: 0.017488 Loss_D_real: -0.024906 Loss_D_fake -0.004640
[1160/5000][95/535][119600] Loss_D: -0.019789 Loss_G: -0.000020 Loss_D_real: -0.016085 Loss_D_fake 0.003705
[1160/5000][100/535][119601] Loss_D: -0.021123 Loss_G: -0.002895 Loss_D_real: -0.003944 Loss_D_fake 0.017179
[1160/5000][105/535][119602] Loss_D: -0.021577 Loss_G: 0.009608 Loss_D_real: -0.021879 Loss_D_fake -0.000302
[1160/5000][110/535][119603] Loss_D: -0.021234 Loss_G: -0.007334 Loss_D_real: -0.008845 Loss_D_fake 0.012390
[1160/5000][115/535][119604] Loss_D: -0.021628 Loss_G: 0.010056 Loss_D_real: -0.019679 Loss_D_fake 0.001949
[1160/5000][120/535][119605] Loss_D: -0.020418 Loss_G: 0.013750 Loss_D_real: -0.029131 Loss_D_fake -0.008714
[1160/5000][125/535][119606] Loss_D: -0.022435 Loss_G: 0.003533 Loss_D_real: -0.022511 Loss_D_fake -0.000076
[1160/5000][130/535][119607] Loss_D: -0.021186 Loss_G: 0.003375 Loss_D_real: -0.019167 Loss_D_fake 0.002019
[1160/5000][135/535][119608] Loss_D: -0.022350 Loss_G: 0.032540 Loss_D_real: -0.031189 Loss_D_fake -0.008839
[1160/5000][140/535][119609] Loss_D: -0.022323 Loss_G: -0.003739 Loss_D_real: -0.008768 Loss_D_fake 0.013555
[1160/5000][145/535][119610] Loss_D: -0.019804 Loss_G: -0.020327 Loss_D_real: -0.001871 Loss_D_fake 0.017932
[1160/5000][150/535][119611] Loss_D: -0.021792 Loss_G: 0.002867 Loss_D_real: -0.012851 Loss_D_fake 0.008941
[1160/5000][155/535][119612] Loss_D: -0.020255 Loss_G: -0.011898 Loss_D_real: -0.009209 Loss_D_fake 0.011046
[1160/5000][160/535][119613] Loss_D: -0.020270 Loss_G: 0.016896 Loss_D_real: -0.021270 Loss_D_fake -0.001000
[1160/5000][165/535][119614] Loss_D: -0.020924 Loss_G: 0.004514 Loss_D_real: -0.018610 Loss_D_fake 0.002314
[1160/5000][170/535][119615] Loss_D: -0.021099 Loss_G: 0.002144 Loss_D_real: -0.017066 Loss_D_fake 0.004033
[1160/5000][175/535][119616] Loss_D: -0.021800 Loss_G: 0.018442 Loss_D_real: -0.019161 Loss_D_fake 0.002639
[1160/5000][180/535][119617] Loss_D: -0.021816 Loss_G: 0.012455 Loss_D_real: -0.016576 Loss_D_fake 0.005240
[1160/5000][185/535][119618] Loss_D: -0.022001 Loss_G: -0.000823 Loss_D_real: -0.020581 Loss_D_fake 0.001420
[1160/5000][190/535][119619] Loss_D: -0.021580 Loss_G: 0.004061 Loss_D_real: -0.022708 Loss_D_fake -0.001128
[1160/5000][195/535][119620] Loss_D: -0.021599 Loss_G: -0.015727 Loss_D_real: -0.012277 Loss_D_fake 0.009322
[1160/5000][200/535][119621] Loss_D: -0.021253 Loss_G: 0.000373 Loss_D_real: -0.015839 Loss_D_fake 0.005414
[1160/5000][205/535][119622] Loss_D: -0.023215 Loss_G: -0.002748 Loss_D_real: -0.019728 Loss_D_fake 0.003486
[1160/5000][210/535][119623] Loss_D: -0.023034 Loss_G: 0.016465 Loss_D_real: -0.020920 Loss_D_fake 0.002114
[1160/5000][215/535][119624] Loss_D: -0.019173 Loss_G: -0.015035 Loss_D_real: 0.004741 Loss_D_fake 0.023914
[1160/5000][220/535][119625] Loss_D: -0.019961 Loss_G: 0.011395 Loss_D_real: -0.015905 Loss_D_fake 0.004056
[1160/5000][225/535][119626] Loss_D: -0.020621 Loss_G: 0.015879 Loss_D_real: -0.014318 Loss_D_fake 0.006303
[1160/5000][230/535][119627] Loss_D: -0.019890 Loss_G: 0.004559 Loss_D_real: -0.014334 Loss_D_fake 0.005556
[1160/5000][235/535][119628] Loss_D: -0.020472 Loss_G: 0.013796 Loss_D_real: -0.026973 Loss_D_fake -0.006501
[1160/5000][240/535][119629] Loss_D: -0.021013 Loss_G: 0.006344 Loss_D_real: -0.010238 Loss_D_fake 0.010775
[1160/5000][245/535][119630] Loss_D: -0.020276 Loss_G: -0.003683 Loss_D_real: -0.013155 Loss_D_fake 0.007121
[1160/5000][250/535][119631] Loss_D: -0.022189 Loss_G: -0.000914 Loss_D_real: -0.016727 Loss_D_fake 0.005462
[1160/5000][255/535][119632] Loss_D: -0.020925 Loss_G: -0.003458 Loss_D_real: -0.005776 Loss_D_fake 0.015149
[1160/5000][260/535][119633] Loss_D: -0.019762 Loss_G: 0.002580 Loss_D_real: -0.011724 Loss_D_fake 0.008038
[1160/5000][265/535][119634] Loss_D: -0.021439 Loss_G: -0.001367 Loss_D_real: -0.021295 Loss_D_fake 0.000145
[1160/5000][270/535][119635] Loss_D: -0.020402 Loss_G: 0.030752 Loss_D_real: -0.025224 Loss_D_fake -0.004822
[1160/5000][275/535][119636] Loss_D: -0.021698 Loss_G: 0.004811 Loss_D_real: -0.013386 Loss_D_fake 0.008312
[1160/5000][280/535][119637] Loss_D: -0.021667 Loss_G: -0.000497 Loss_D_real: -0.009010 Loss_D_fake 0.012657
[1160/5000][285/535][119638] Loss_D: -0.021306 Loss_G: 0.014913 Loss_D_real: -0.024117 Loss_D_fake -0.002812
[1160/5000][290/535][119639] Loss_D: -0.021021 Loss_G: 0.015118 Loss_D_real: -0.020915 Loss_D_fake 0.000106
[1160/5000][295/535][119640] Loss_D: -0.021053 Loss_G: -0.000049 Loss_D_real: 0.000795 Loss_D_fake 0.021848
[1160/5000][300/535][119641] Loss_D: -0.020757 Loss_G: 0.028665 Loss_D_real: -0.025678 Loss_D_fake -0.004922
[1160/5000][305/535][119642] Loss_D: -0.020901 Loss_G: -0.002437 Loss_D_real: -0.010441 Loss_D_fake 0.010460
[1160/5000][310/535][119643] Loss_D: -0.020240 Loss_G: -0.002884 Loss_D_real: -0.010103 Loss_D_fake 0.010136
[1160/5000][315/535][119644] Loss_D: -0.020247 Loss_G: 0.011615 Loss_D_real: -0.023255 Loss_D_fake -0.003008
[1160/5000][320/535][119645] Loss_D: -0.021134 Loss_G: 0.011771 Loss_D_real: -0.015764 Loss_D_fake 0.005371
[1160/5000][325/535][119646] Loss_D: -0.021260 Loss_G: -0.011108 Loss_D_real: -0.005494 Loss_D_fake 0.015766
[1160/5000][330/535][119647] Loss_D: -0.020890 Loss_G: 0.010848 Loss_D_real: -0.017795 Loss_D_fake 0.003095
[1160/5000][335/535][119648] Loss_D: -0.020543 Loss_G: 0.007910 Loss_D_real: -0.012717 Loss_D_fake 0.007826
[1160/5000][340/535][119649] Loss_D: -0.021478 Loss_G: 0.024224 Loss_D_real: -0.031967 Loss_D_fake -0.010489
[1160/5000][345/535][119650] Loss_D: -0.021496 Loss_G: 0.015812 Loss_D_real: -0.025516 Loss_D_fake -0.004019
[1160/5000][350/535][119651] Loss_D: -0.020895 Loss_G: -0.006764 Loss_D_real: -0.006028 Loss_D_fake 0.014867
[1160/5000][355/535][119652] Loss_D: -0.020952 Loss_G: 0.014616 Loss_D_real: -0.030316 Loss_D_fake -0.009364
[1160/5000][360/535][119653] Loss_D: -0.021001 Loss_G: 0.004221 Loss_D_real: -0.027110 Loss_D_fake -0.006109
[1160/5000][365/535][119654] Loss_D: -0.020841 Loss_G: 0.018366 Loss_D_real: -0.034489 Loss_D_fake -0.013648
[1160/5000][370/535][119655] Loss_D: -0.020757 Loss_G: -0.007152 Loss_D_real: -0.015717 Loss_D_fake 0.005040
[1160/5000][375/535][119656] Loss_D: -0.021924 Loss_G: 0.015352 Loss_D_real: -0.024647 Loss_D_fake -0.002723
[1160/5000][380/535][119657] Loss_D: -0.022141 Loss_G: 0.017380 Loss_D_real: -0.024062 Loss_D_fake -0.001921
[1160/5000][385/535][119658] Loss_D: -0.020792 Loss_G: -0.007116 Loss_D_real: -0.018279 Loss_D_fake 0.002513
[1160/5000][390/535][119659] Loss_D: -0.020499 Loss_G: -0.003691 Loss_D_real: -0.011324 Loss_D_fake 0.009175
[1160/5000][395/535][119660] Loss_D: -0.020778 Loss_G: 0.034086 Loss_D_real: -0.029060 Loss_D_fake -0.008282
[1160/5000][400/535][119661] Loss_D: -0.020611 Loss_G: 0.000030 Loss_D_real: -0.013061 Loss_D_fake 0.007550
[1160/5000][405/535][119662] Loss_D: -0.021453 Loss_G: 0.005502 Loss_D_real: -0.007294 Loss_D_fake 0.014160
[1160/5000][410/535][119663] Loss_D: -0.021856 Loss_G: 0.008076 Loss_D_real: -0.009390 Loss_D_fake 0.012466
[1160/5000][415/535][119664] Loss_D: -0.021052 Loss_G: -0.002666 Loss_D_real: -0.018448 Loss_D_fake 0.002604
[1160/5000][420/535][119665] Loss_D: -0.020964 Loss_G: 0.010641 Loss_D_real: -0.017774 Loss_D_fake 0.003190
[1160/5000][425/535][119666] Loss_D: -0.021049 Loss_G: 0.000282 Loss_D_real: -0.024448 Loss_D_fake -0.003399
[1160/5000][430/535][119667] Loss_D: -0.021340 Loss_G: 0.019132 Loss_D_real: -0.025744 Loss_D_fake -0.004404
[1160/5000][435/535][119668] Loss_D: -0.018766 Loss_G: 0.022092 Loss_D_real: -0.030619 Loss_D_fake -0.011853
[1160/5000][440/535][119669] Loss_D: -0.020295 Loss_G: 0.001245 Loss_D_real: -0.013513 Loss_D_fake 0.006782
[1160/5000][445/535][119670] Loss_D: -0.020604 Loss_G: -0.009232 Loss_D_real: -0.015200 Loss_D_fake 0.005404
[1160/5000][450/535][119671] Loss_D: -0.020790 Loss_G: 0.011146 Loss_D_real: -0.012528 Loss_D_fake 0.008262
[1160/5000][455/535][119672] Loss_D: -0.022743 Loss_G: 0.029341 Loss_D_real: -0.020186 Loss_D_fake 0.002556
[1160/5000][460/535][119673] Loss_D: -0.020862 Loss_G: 0.017285 Loss_D_real: -0.025951 Loss_D_fake -0.005089
[1160/5000][465/535][119674] Loss_D: -0.021519 Loss_G: 0.011610 Loss_D_real: -0.018827 Loss_D_fake 0.002691
[1160/5000][470/535][119675] Loss_D: -0.021869 Loss_G: -0.001401 Loss_D_real: -0.018515 Loss_D_fake 0.003355
[1160/5000][475/535][119676] Loss_D: -0.021020 Loss_G: 0.027109 Loss_D_real: -0.034717 Loss_D_fake -0.013698
[1160/5000][480/535][119677] Loss_D: -0.020946 Loss_G: 0.000504 Loss_D_real: -0.022961 Loss_D_fake -0.002015
[1160/5000][485/535][119678] Loss_D: -0.021841 Loss_G: 0.001496 Loss_D_real: -0.011523 Loss_D_fake 0.010318
[1160/5000][490/535][119679] Loss_D: -0.020472 Loss_G: -0.003007 Loss_D_real: -0.011669 Loss_D_fake 0.008803
[1160/5000][495/535][119680] Loss_D: -0.021070 Loss_G: 0.018367 Loss_D_real: -0.021392 Loss_D_fake -0.000322
[1160/5000][500/535][119681] Loss_D: -0.019760 Loss_G: 0.004053 Loss_D_real: -0.021453 Loss_D_fake -0.001693
[1160/5000][505/535][119682] Loss_D: -0.020377 Loss_G: 0.019208 Loss_D_real: -0.021120 Loss_D_fake -0.000743
[1160/5000][510/535][119683] Loss_D: -0.020188 Loss_G: 0.008618 Loss_D_real: -0.023918 Loss_D_fake -0.003730
[1160/5000][515/535][119684] Loss_D: -0.019483 Loss_G: -0.009363 Loss_D_real: -0.002712 Loss_D_fake 0.016770
[1160/5000][520/535][119685] Loss_D: -0.020935 Loss_G: 0.013468 Loss_D_real: -0.028448 Loss_D_fake -0.007513
[1160/5000][525/535][119686] Loss_D: -0.019786 Loss_G: 0.004715 Loss_D_real: -0.015269 Loss_D_fake 0.004516
[1160/5000][530/535][119687] Loss_D: -0.021410 Loss_G: 0.006095 Loss_D_real: -0.022044 Loss_D_fake -0.000635
[1160/5000][535/535][119688] Loss_D: -0.021669 Loss_G: 0.005692 Loss_D_real: -0.016366 Loss_D_fake 0.005303
[1161/5000][5/535][119689] Loss_D: -0.020334 Loss_G: -0.011635 Loss_D_real: 0.001617 Loss_D_fake 0.021952
[1161/5000][10/535][119690] Loss_D: -0.019667 Loss_G: 0.015682 Loss_D_real: -0.026276 Loss_D_fake -0.006609
[1161/5000][15/535][119691] Loss_D: -0.021172 Loss_G: 0.018953 Loss_D_real: -0.032216 Loss_D_fake -0.011044
[1161/5000][20/535][119692] Loss_D: -0.019905 Loss_G: 0.013404 Loss_D_real: -0.023918 Loss_D_fake -0.004013
[1161/5000][25/535][119693] Loss_D: -0.022100 Loss_G: 0.003545 Loss_D_real: -0.026925 Loss_D_fake -0.004824
[1161/5000][30/535][119694] Loss_D: -0.021450 Loss_G: -0.003830 Loss_D_real: -0.000448 Loss_D_fake 0.021002
[1161/5000][35/535][119695] Loss_D: -0.020006 Loss_G: -0.015144 Loss_D_real: -0.010217 Loss_D_fake 0.009789
[1161/5000][40/535][119696] Loss_D: -0.020620 Loss_G: 0.007235 Loss_D_real: -0.015793 Loss_D_fake 0.004827
[1161/5000][45/535][119697] Loss_D: -0.022424 Loss_G: -0.001268 Loss_D_real: -0.011148 Loss_D_fake 0.011276
[1161/5000][50/535][119698] Loss_D: -0.021484 Loss_G: 0.005672 Loss_D_real: -0.003840 Loss_D_fake 0.017644
[1161/5000][55/535][119699] Loss_D: -0.021381 Loss_G: 0.001272 Loss_D_real: -0.007147 Loss_D_fake 0.014235
[1161/5000][60/535][119700] Loss_D: -0.021833 Loss_G: 0.017067 Loss_D_real: -0.019985 Loss_D_fake 0.001848
[1161/5000][65/535][119701] Loss_D: -0.020538 Loss_G: -0.000519 Loss_D_real: -0.020128 Loss_D_fake 0.000410
[1161/5000][70/535][119702] Loss_D: -0.022071 Loss_G: 0.011876 Loss_D_real: -0.032891 Loss_D_fake -0.010820
[1161/5000][75/535][119703] Loss_D: -0.023069 Loss_G: 0.016694 Loss_D_real: -0.022998 Loss_D_fake 0.000071
[1161/5000][80/535][119704] Loss_D: -0.021506 Loss_G: 0.004739 Loss_D_real: -0.019527 Loss_D_fake 0.001979
[1161/5000][85/535][119705] Loss_D: -0.021842 Loss_G: 0.018099 Loss_D_real: -0.025181 Loss_D_fake -0.003338
[1161/5000][90/535][119706] Loss_D: -0.022097 Loss_G: 0.032104 Loss_D_real: -0.022837 Loss_D_fake -0.000740
[1161/5000][95/535][119707] Loss_D: -0.020913 Loss_G: 0.004600 Loss_D_real: -0.012801 Loss_D_fake 0.008112
[1161/5000][100/535][119708] Loss_D: -0.020413 Loss_G: 0.016551 Loss_D_real: -0.021821 Loss_D_fake -0.001408
[1161/5000][105/535][119709] Loss_D: -0.020382 Loss_G: 0.002542 Loss_D_real: -0.017704 Loss_D_fake 0.002678
[1161/5000][110/535][119710] Loss_D: -0.017579 Loss_G: 0.034373 Loss_D_real: -0.026356 Loss_D_fake -0.008778
[1161/5000][115/535][119711] Loss_D: -0.019046 Loss_G: -0.009208 Loss_D_real: -0.004113 Loss_D_fake 0.014933
[1161/5000][120/535][119712] Loss_D: -0.021301 Loss_G: 0.017758 Loss_D_real: -0.019320 Loss_D_fake 0.001981
[1161/5000][125/535][119713] Loss_D: -0.020966 Loss_G: 0.016747 Loss_D_real: -0.019052 Loss_D_fake 0.001913
[1161/5000][130/535][119714] Loss_D: -0.021041 Loss_G: 0.027389 Loss_D_real: -0.032971 Loss_D_fake -0.011930
[1161/5000][135/535][119715] Loss_D: -0.021053 Loss_G: 0.001918 Loss_D_real: -0.019714 Loss_D_fake 0.001339
[1161/5000][140/535][119716] Loss_D: -0.021407 Loss_G: -0.006347 Loss_D_real: -0.008525 Loss_D_fake 0.012882
[1161/5000][145/535][119717] Loss_D: -0.020916 Loss_G: -0.015647 Loss_D_real: -0.011816 Loss_D_fake 0.009100
[1161/5000][150/535][119718] Loss_D: -0.020199 Loss_G: 0.018962 Loss_D_real: -0.030484 Loss_D_fake -0.010285
[1161/5000][155/535][119719] Loss_D: -0.019798 Loss_G: -0.012345 Loss_D_real: -0.004864 Loss_D_fake 0.014935
[1161/5000][160/535][119720] Loss_D: -0.020655 Loss_G: 0.019594 Loss_D_real: -0.022664 Loss_D_fake -0.002009
[1161/5000][165/535][119721] Loss_D: -0.020907 Loss_G: -0.001080 Loss_D_real: -0.006172 Loss_D_fake 0.014735
[1161/5000][170/535][119722] Loss_D: -0.021060 Loss_G: 0.001422 Loss_D_real: -0.014546 Loss_D_fake 0.006515
[1161/5000][175/535][119723] Loss_D: -0.021361 Loss_G: 0.011225 Loss_D_real: -0.018683 Loss_D_fake 0.002678
[1161/5000][180/535][119724] Loss_D: -0.019671 Loss_G: 0.017485 Loss_D_real: -0.036704 Loss_D_fake -0.017033
[1161/5000][185/535][119725] Loss_D: -0.020945 Loss_G: -0.006756 Loss_D_real: -0.011728 Loss_D_fake 0.009217
[1161/5000][190/535][119726] Loss_D: -0.021891 Loss_G: 0.009800 Loss_D_real: -0.022405 Loss_D_fake -0.000513
[1161/5000][195/535][119727] Loss_D: -0.020312 Loss_G: -0.031364 Loss_D_real: -0.004222 Loss_D_fake 0.016090
[1161/5000][200/535][119728] Loss_D: -0.020803 Loss_G: 0.001180 Loss_D_real: -0.020348 Loss_D_fake 0.000455
[1161/5000][205/535][119729] Loss_D: -0.019381 Loss_G: 0.003466 Loss_D_real: -0.012446 Loss_D_fake 0.006935
[1161/5000][210/535][119730] Loss_D: -0.021273 Loss_G: -0.008522 Loss_D_real: 0.001078 Loss_D_fake 0.022350
[1161/5000][215/535][119731] Loss_D: -0.020346 Loss_G: -0.001483 Loss_D_real: -0.009629 Loss_D_fake 0.010717
[1161/5000][220/535][119732] Loss_D: -0.021263 Loss_G: 0.011946 Loss_D_real: -0.025834 Loss_D_fake -0.004571
[1161/5000][225/535][119733] Loss_D: -0.021364 Loss_G: 0.020620 Loss_D_real: -0.017127 Loss_D_fake 0.004237
[1161/5000][230/535][119734] Loss_D: -0.021984 Loss_G: 0.005840 Loss_D_real: -0.019190 Loss_D_fake 0.002794
[1161/5000][235/535][119735] Loss_D: -0.021990 Loss_G: 0.002972 Loss_D_real: -0.015719 Loss_D_fake 0.006272
[1161/5000][240/535][119736] Loss_D: -0.018937 Loss_G: 0.033935 Loss_D_real: -0.037829 Loss_D_fake -0.018892
[1161/5000][245/535][119737] Loss_D: -0.021865 Loss_G: 0.014617 Loss_D_real: -0.030827 Loss_D_fake -0.008962
[1161/5000][250/535][119738] Loss_D: -0.020702 Loss_G: 0.005788 Loss_D_real: -0.031823 Loss_D_fake -0.011121
[1161/5000][255/535][119739] Loss_D: -0.022145 Loss_G: 0.012773 Loss_D_real: -0.029970 Loss_D_fake -0.007825
[1161/5000][260/535][119740] Loss_D: -0.020883 Loss_G: 0.009401 Loss_D_real: -0.020964 Loss_D_fake -0.000081
[1161/5000][265/535][119741] Loss_D: -0.021447 Loss_G: -0.005262 Loss_D_real: -0.023745 Loss_D_fake -0.002298
[1161/5000][270/535][119742] Loss_D: -0.021387 Loss_G: 0.012873 Loss_D_real: -0.013348 Loss_D_fake 0.008039
[1161/5000][275/535][119743] Loss_D: -0.019550 Loss_G: -0.002481 Loss_D_real: -0.014729 Loss_D_fake 0.004822
[1161/5000][280/535][119744] Loss_D: -0.019751 Loss_G: 0.014285 Loss_D_real: -0.024006 Loss_D_fake -0.004255
[1161/5000][285/535][119745] Loss_D: -0.020709 Loss_G: 0.009283 Loss_D_real: -0.024063 Loss_D_fake -0.003354
[1161/5000][290/535][119746] Loss_D: -0.020405 Loss_G: 0.016013 Loss_D_real: -0.018167 Loss_D_fake 0.002238
[1161/5000][295/535][119747] Loss_D: -0.021329 Loss_G: -0.002916 Loss_D_real: -0.013578 Loss_D_fake 0.007750
[1161/5000][300/535][119748] Loss_D: -0.021148 Loss_G: -0.006295 Loss_D_real: -0.008120 Loss_D_fake 0.013028
[1161/5000][305/535][119749] Loss_D: -0.021206 Loss_G: 0.007628 Loss_D_real: -0.020247 Loss_D_fake 0.000959
[1161/5000][310/535][119750] Loss_D: -0.020475 Loss_G: 0.033381 Loss_D_real: -0.023246 Loss_D_fake -0.002772
[1161/5000][315/535][119751] Loss_D: -0.020743 Loss_G: 0.012476 Loss_D_real: -0.017872 Loss_D_fake 0.002871
[1161/5000][320/535][119752] Loss_D: -0.021612 Loss_G: 0.003494 Loss_D_real: -0.018844 Loss_D_fake 0.002768
[1161/5000][325/535][119753] Loss_D: -0.020931 Loss_G: 0.016790 Loss_D_real: -0.031536 Loss_D_fake -0.010604
[1161/5000][330/535][119754] Loss_D: -0.020646 Loss_G: 0.001257 Loss_D_real: -0.025820 Loss_D_fake -0.005174
[1161/5000][335/535][119755] Loss_D: -0.021563 Loss_G: 0.005076 Loss_D_real: -0.007160 Loss_D_fake 0.014404
[1161/5000][340/535][119756] Loss_D: -0.019607 Loss_G: 0.013182 Loss_D_real: -0.017931 Loss_D_fake 0.001676
[1161/5000][345/535][119757] Loss_D: -0.020198 Loss_G: -0.007684 Loss_D_real: -0.010244 Loss_D_fake 0.009953
[1161/5000][350/535][119758] Loss_D: -0.020111 Loss_G: -0.004862 Loss_D_real: -0.013380 Loss_D_fake 0.006731
[1161/5000][355/535][119759] Loss_D: -0.021154 Loss_G: 0.017809 Loss_D_real: -0.019673 Loss_D_fake 0.001480
[1161/5000][360/535][119760] Loss_D: -0.019871 Loss_G: 0.017285 Loss_D_real: -0.025655 Loss_D_fake -0.005784
[1161/5000][365/535][119761] Loss_D: -0.021535 Loss_G: 0.004820 Loss_D_real: -0.018728 Loss_D_fake 0.002806
[1161/5000][370/535][119762] Loss_D: -0.020816 Loss_G: -0.001552 Loss_D_real: -0.011135 Loss_D_fake 0.009680
[1161/5000][375/535][119763] Loss_D: -0.021680 Loss_G: 0.003320 Loss_D_real: -0.011153 Loss_D_fake 0.010526
[1161/5000][380/535][119764] Loss_D: -0.021402 Loss_G: -0.013624 Loss_D_real: -0.007477 Loss_D_fake 0.013925
[1161/5000][385/535][119765] Loss_D: -0.020931 Loss_G: -0.009398 Loss_D_real: -0.012572 Loss_D_fake 0.008359
[1161/5000][390/535][119766] Loss_D: -0.019797 Loss_G: 0.003801 Loss_D_real: -0.022640 Loss_D_fake -0.002843
[1161/5000][395/535][119767] Loss_D: -0.020514 Loss_G: -0.007640 Loss_D_real: -0.014597 Loss_D_fake 0.005917
[1161/5000][400/535][119768] Loss_D: -0.019834 Loss_G: 0.019460 Loss_D_real: -0.028969 Loss_D_fake -0.009135
[1161/5000][405/535][119769] Loss_D: -0.021358 Loss_G: -0.000250 Loss_D_real: -0.019300 Loss_D_fake 0.002058
[1161/5000][410/535][119770] Loss_D: -0.021367 Loss_G: 0.013070 Loss_D_real: -0.021910 Loss_D_fake -0.000544
[1161/5000][415/535][119771] Loss_D: -0.020860 Loss_G: 0.008355 Loss_D_real: -0.018081 Loss_D_fake 0.002778
[1161/5000][420/535][119772] Loss_D: -0.021775 Loss_G: 0.011226 Loss_D_real: -0.010142 Loss_D_fake 0.011634
[1161/5000][425/535][119773] Loss_D: -0.021745 Loss_G: -0.003338 Loss_D_real: -0.022650 Loss_D_fake -0.000905
[1161/5000][430/535][119774] Loss_D: -0.019078 Loss_G: 0.023358 Loss_D_real: -0.024397 Loss_D_fake -0.005319
[1161/5000][435/535][119775] Loss_D: -0.021035 Loss_G: -0.010837 Loss_D_real: -0.005949 Loss_D_fake 0.015087
[1161/5000][440/535][119776] Loss_D: -0.020173 Loss_G: 0.029453 Loss_D_real: -0.028938 Loss_D_fake -0.008765
[1161/5000][445/535][119777] Loss_D: -0.020712 Loss_G: 0.010415 Loss_D_real: -0.031147 Loss_D_fake -0.010435
[1161/5000][450/535][119778] Loss_D: -0.021751 Loss_G: -0.008284 Loss_D_real: -0.011770 Loss_D_fake 0.009980
[1161/5000][455/535][119779] Loss_D: -0.020003 Loss_G: -0.009587 Loss_D_real: -0.009833 Loss_D_fake 0.010170
[1161/5000][460/535][119780] Loss_D: -0.021471 Loss_G: 0.004951 Loss_D_real: -0.014525 Loss_D_fake 0.006947
[1161/5000][465/535][119781] Loss_D: -0.022004 Loss_G: 0.013870 Loss_D_real: -0.013895 Loss_D_fake 0.008109
[1161/5000][470/535][119782] Loss_D: -0.021524 Loss_G: 0.008710 Loss_D_real: -0.017368 Loss_D_fake 0.004156
[1161/5000][475/535][119783] Loss_D: -0.021253 Loss_G: 0.025039 Loss_D_real: -0.023115 Loss_D_fake -0.001863
[1161/5000][480/535][119784] Loss_D: -0.020185 Loss_G: 0.011335 Loss_D_real: -0.033866 Loss_D_fake -0.013681
[1161/5000][485/535][119785] Loss_D: -0.019886 Loss_G: 0.011072 Loss_D_real: -0.036508 Loss_D_fake -0.016622
[1161/5000][490/535][119786] Loss_D: -0.020069 Loss_G: 0.015351 Loss_D_real: -0.021222 Loss_D_fake -0.001153
[1161/5000][495/535][119787] Loss_D: -0.020101 Loss_G: 0.011181 Loss_D_real: -0.025266 Loss_D_fake -0.005165
[1161/5000][500/535][119788] Loss_D: -0.020341 Loss_G: 0.026232 Loss_D_real: -0.027657 Loss_D_fake -0.007316
[1161/5000][505/535][119789] Loss_D: -0.022345 Loss_G: -0.010607 Loss_D_real: -0.018771 Loss_D_fake 0.003574
[1161/5000][510/535][119790] Loss_D: -0.021855 Loss_G: -0.000022 Loss_D_real: -0.002127 Loss_D_fake 0.019729
[1161/5000][515/535][119791] Loss_D: -0.020470 Loss_G: 0.007592 Loss_D_real: -0.014528 Loss_D_fake 0.005942
[1161/5000][520/535][119792] Loss_D: -0.020791 Loss_G: 0.019244 Loss_D_real: -0.023301 Loss_D_fake -0.002510
[1161/5000][525/535][119793] Loss_D: -0.023449 Loss_G: 0.009565 Loss_D_real: -0.019997 Loss_D_fake 0.003452
[1161/5000][530/535][119794] Loss_D: -0.019842 Loss_G: 0.024844 Loss_D_real: -0.024413 Loss_D_fake -0.004570
[1161/5000][535/535][119795] Loss_D: -0.018989 Loss_G: -0.006401 Loss_D_real: -0.003107 Loss_D_fake 0.015882
[1162/5000][5/535][119796] Loss_D: -0.018426 Loss_G: 0.020285 Loss_D_real: -0.039196 Loss_D_fake -0.020770
[1162/5000][10/535][119797] Loss_D: -0.019783 Loss_G: 0.015145 Loss_D_real: -0.019834 Loss_D_fake -0.000051
[1162/5000][15/535][119798] Loss_D: -0.020653 Loss_G: 0.009147 Loss_D_real: -0.022251 Loss_D_fake -0.001598
[1162/5000][20/535][119799] Loss_D: -0.020438 Loss_G: 0.023561 Loss_D_real: -0.022614 Loss_D_fake -0.002176
[1162/5000][25/535][119800] Loss_D: -0.021221 Loss_G: -0.002259 Loss_D_real: -0.005618 Loss_D_fake 0.015604
[1162/5000][30/535][119801] Loss_D: -0.020791 Loss_G: 0.022821 Loss_D_real: -0.024906 Loss_D_fake -0.004115
[1162/5000][35/535][119802] Loss_D: -0.021573 Loss_G: 0.002393 Loss_D_real: -0.018122 Loss_D_fake 0.003451
[1162/5000][40/535][119803] Loss_D: -0.021425 Loss_G: 0.013824 Loss_D_real: -0.029459 Loss_D_fake -0.008034
[1162/5000][45/535][119804] Loss_D: -0.021562 Loss_G: 0.016207 Loss_D_real: -0.015852 Loss_D_fake 0.005711
[1162/5000][50/535][119805] Loss_D: -0.021409 Loss_G: 0.002279 Loss_D_real: -0.022395 Loss_D_fake -0.000986
[1162/5000][55/535][119806] Loss_D: -0.021643 Loss_G: -0.009850 Loss_D_real: -0.017113 Loss_D_fake 0.004529
[1162/5000][60/535][119807] Loss_D: -0.020157 Loss_G: -0.005564 Loss_D_real: -0.006791 Loss_D_fake 0.013365
[1162/5000][65/535][119808] Loss_D: -0.021958 Loss_G: 0.014275 Loss_D_real: -0.022580 Loss_D_fake -0.000622
[1162/5000][70/535][119809] Loss_D: -0.021529 Loss_G: 0.019897 Loss_D_real: -0.023812 Loss_D_fake -0.002283
[1162/5000][75/535][119810] Loss_D: -0.019990 Loss_G: -0.011578 Loss_D_real: -0.005052 Loss_D_fake 0.014939
[1162/5000][80/535][119811] Loss_D: -0.021357 Loss_G: 0.012544 Loss_D_real: -0.012792 Loss_D_fake 0.008565
[1162/5000][85/535][119812] Loss_D: -0.020969 Loss_G: 0.006241 Loss_D_real: -0.016168 Loss_D_fake 0.004801
[1162/5000][90/535][119813] Loss_D: -0.019604 Loss_G: -0.000261 Loss_D_real: -0.017668 Loss_D_fake 0.001936
[1162/5000][95/535][119814] Loss_D: -0.020913 Loss_G: 0.000276 Loss_D_real: 0.000815 Loss_D_fake 0.021728
[1162/5000][100/535][119815] Loss_D: -0.020614 Loss_G: -0.001521 Loss_D_real: -0.010531 Loss_D_fake 0.010082
[1162/5000][105/535][119816] Loss_D: -0.022019 Loss_G: 0.005042 Loss_D_real: -0.029962 Loss_D_fake -0.007943
[1162/5000][110/535][119817] Loss_D: -0.020463 Loss_G: -0.007883 Loss_D_real: 0.003685 Loss_D_fake 0.024148
[1162/5000][115/535][119818] Loss_D: -0.020011 Loss_G: 0.031981 Loss_D_real: -0.026840 Loss_D_fake -0.006829
[1162/5000][120/535][119819] Loss_D: -0.020595 Loss_G: 0.004097 Loss_D_real: -0.019052 Loss_D_fake 0.001543
[1162/5000][125/535][119820] Loss_D: -0.020151 Loss_G: 0.010652 Loss_D_real: -0.026764 Loss_D_fake -0.006613
[1162/5000][130/535][119821] Loss_D: -0.020288 Loss_G: -0.020225 Loss_D_real: -0.007400 Loss_D_fake 0.012889
[1162/5000][135/535][119822] Loss_D: -0.020177 Loss_G: -0.010910 Loss_D_real: -0.006839 Loss_D_fake 0.013338
[1162/5000][140/535][119823] Loss_D: -0.019940 Loss_G: 0.014264 Loss_D_real: -0.026055 Loss_D_fake -0.006115
[1162/5000][145/535][119824] Loss_D: -0.020356 Loss_G: -0.007134 Loss_D_real: -0.001121 Loss_D_fake 0.019234
[1162/5000][150/535][119825] Loss_D: -0.018825 Loss_G: -0.009037 Loss_D_real: -0.025959 Loss_D_fake -0.007134
[1162/5000][155/535][119826] Loss_D: -0.019932 Loss_G: -0.006059 Loss_D_real: -0.002293 Loss_D_fake 0.017638
[1162/5000][160/535][119827] Loss_D: -0.019861 Loss_G: 0.011931 Loss_D_real: -0.024592 Loss_D_fake -0.004731
[1162/5000][165/535][119828] Loss_D: -0.022013 Loss_G: 0.007365 Loss_D_real: -0.011478 Loss_D_fake 0.010535
[1162/5000][170/535][119829] Loss_D: -0.021920 Loss_G: 0.018555 Loss_D_real: -0.012942 Loss_D_fake 0.008979
[1162/5000][175/535][119830] Loss_D: -0.020269 Loss_G: 0.001270 Loss_D_real: -0.009647 Loss_D_fake 0.010622
[1162/5000][180/535][119831] Loss_D: -0.020025 Loss_G: -0.013423 Loss_D_real: -0.005459 Loss_D_fake 0.014566
[1162/5000][185/535][119832] Loss_D: -0.019971 Loss_G: 0.007919 Loss_D_real: -0.018842 Loss_D_fake 0.001129
[1162/5000][190/535][119833] Loss_D: -0.020630 Loss_G: 0.012982 Loss_D_real: -0.014208 Loss_D_fake 0.006422
[1162/5000][195/535][119834] Loss_D: -0.020867 Loss_G: 0.005382 Loss_D_real: -0.013459 Loss_D_fake 0.007408
[1162/5000][200/535][119835] Loss_D: -0.020509 Loss_G: -0.003852 Loss_D_real: -0.020862 Loss_D_fake -0.000353
[1162/5000][205/535][119836] Loss_D: -0.021690 Loss_G: -0.008474 Loss_D_real: -0.007344 Loss_D_fake 0.014346
[1162/5000][210/535][119837] Loss_D: -0.021242 Loss_G: 0.006500 Loss_D_real: -0.011349 Loss_D_fake 0.009892
[1162/5000][215/535][119838] Loss_D: -0.020794 Loss_G: 0.024292 Loss_D_real: -0.030585 Loss_D_fake -0.009791
[1162/5000][220/535][119839] Loss_D: -0.022159 Loss_G: -0.002431 Loss_D_real: -0.009467 Loss_D_fake 0.012692
[1162/5000][225/535][119840] Loss_D: -0.021653 Loss_G: 0.012224 Loss_D_real: -0.019627 Loss_D_fake 0.002026
[1162/5000][230/535][119841] Loss_D: -0.020534 Loss_G: -0.021222 Loss_D_real: -0.000430 Loss_D_fake 0.020103
[1162/5000][235/535][119842] Loss_D: -0.020610 Loss_G: 0.018066 Loss_D_real: -0.025682 Loss_D_fake -0.005072
[1162/5000][240/535][119843] Loss_D: -0.023071 Loss_G: 0.019614 Loss_D_real: -0.010092 Loss_D_fake 0.012979
[1162/5000][245/535][119844] Loss_D: -0.021406 Loss_G: 0.005088 Loss_D_real: -0.031120 Loss_D_fake -0.009714
[1162/5000][250/535][119845] Loss_D: -0.020204 Loss_G: -0.015326 Loss_D_real: -0.005495 Loss_D_fake 0.014709
[1162/5000][255/535][119846] Loss_D: -0.019648 Loss_G: -0.016705 Loss_D_real: 0.003716 Loss_D_fake 0.023364
[1162/5000][260/535][119847] Loss_D: -0.020738 Loss_G: -0.003674 Loss_D_real: -0.010482 Loss_D_fake 0.010256
[1162/5000][265/535][119848] Loss_D: -0.019816 Loss_G: 0.006930 Loss_D_real: -0.016348 Loss_D_fake 0.003468
[1162/5000][270/535][119849] Loss_D: -0.023031 Loss_G: 0.005776 Loss_D_real: -0.012643 Loss_D_fake 0.010388
[1162/5000][275/535][119850] Loss_D: -0.020023 Loss_G: 0.000332 Loss_D_real: -0.013420 Loss_D_fake 0.006603
[1162/5000][280/535][119851] Loss_D: -0.021976 Loss_G: -0.001263 Loss_D_real: -0.013124 Loss_D_fake 0.008853
[1162/5000][285/535][119852] Loss_D: -0.020572 Loss_G: 0.016247 Loss_D_real: -0.022218 Loss_D_fake -0.001646
[1162/5000][290/535][119853] Loss_D: -0.020377 Loss_G: 0.010194 Loss_D_real: -0.020177 Loss_D_fake 0.000200
[1162/5000][295/535][119854] Loss_D: -0.021052 Loss_G: -0.005262 Loss_D_real: -0.012093 Loss_D_fake 0.008959
[1162/5000][300/535][119855] Loss_D: -0.020662 Loss_G: 0.011146 Loss_D_real: -0.019741 Loss_D_fake 0.000921
[1162/5000][305/535][119856] Loss_D: -0.021112 Loss_G: -0.008158 Loss_D_real: -0.007627 Loss_D_fake 0.013485
[1162/5000][310/535][119857] Loss_D: -0.021548 Loss_G: 0.005321 Loss_D_real: -0.001988 Loss_D_fake 0.019559
[1162/5000][315/535][119858] Loss_D: -0.021597 Loss_G: 0.006700 Loss_D_real: -0.013853 Loss_D_fake 0.007744
[1162/5000][320/535][119859] Loss_D: -0.020031 Loss_G: 0.018786 Loss_D_real: -0.023761 Loss_D_fake -0.003731
[1162/5000][325/535][119860] Loss_D: -0.021172 Loss_G: 0.011669 Loss_D_real: -0.015740 Loss_D_fake 0.005432
[1162/5000][330/535][119861] Loss_D: -0.019181 Loss_G: 0.019343 Loss_D_real: -0.028418 Loss_D_fake -0.009237
[1162/5000][335/535][119862] Loss_D: -0.021845 Loss_G: -0.015612 Loss_D_real: -0.009251 Loss_D_fake 0.012594
[1162/5000][340/535][119863] Loss_D: -0.021420 Loss_G: 0.009116 Loss_D_real: -0.018260 Loss_D_fake 0.003160
[1162/5000][345/535][119864] Loss_D: -0.021337 Loss_G: 0.013666 Loss_D_real: -0.015235 Loss_D_fake 0.006102
[1162/5000][350/535][119865] Loss_D: -0.019584 Loss_G: 0.009674 Loss_D_real: -0.018441 Loss_D_fake 0.001143
[1162/5000][355/535][119866] Loss_D: -0.021858 Loss_G: 0.006344 Loss_D_real: -0.012368 Loss_D_fake 0.009489
[1162/5000][360/535][119867] Loss_D: -0.018968 Loss_G: 0.017143 Loss_D_real: -0.041343 Loss_D_fake -0.022375
[1162/5000][365/535][119868] Loss_D: -0.020823 Loss_G: -0.006171 Loss_D_real: -0.011680 Loss_D_fake 0.009144
[1162/5000][370/535][119869] Loss_D: -0.022054 Loss_G: 0.006954 Loss_D_real: -0.014661 Loss_D_fake 0.007393
[1162/5000][375/535][119870] Loss_D: -0.021294 Loss_G: 0.001922 Loss_D_real: -0.016599 Loss_D_fake 0.004694
[1162/5000][380/535][119871] Loss_D: -0.020991 Loss_G: 0.019913 Loss_D_real: -0.018820 Loss_D_fake 0.002171
[1162/5000][385/535][119872] Loss_D: -0.019082 Loss_G: -0.020553 Loss_D_real: 0.012918 Loss_D_fake 0.032000
[1162/5000][390/535][119873] Loss_D: -0.021132 Loss_G: 0.010202 Loss_D_real: -0.015246 Loss_D_fake 0.005887
[1162/5000][395/535][119874] Loss_D: -0.020701 Loss_G: 0.008404 Loss_D_real: -0.017076 Loss_D_fake 0.003625
[1162/5000][400/535][119875] Loss_D: -0.020527 Loss_G: -0.001625 Loss_D_real: -0.007227 Loss_D_fake 0.013300
[1162/5000][405/535][119876] Loss_D: -0.020787 Loss_G: -0.007028 Loss_D_real: -0.009350 Loss_D_fake 0.011437
[1162/5000][410/535][119877] Loss_D: -0.020397 Loss_G: -0.001084 Loss_D_real: -0.011859 Loss_D_fake 0.008538
[1162/5000][415/535][119878] Loss_D: -0.021870 Loss_G: -0.003733 Loss_D_real: -0.008461 Loss_D_fake 0.013409
[1162/5000][420/535][119879] Loss_D: -0.022211 Loss_G: 0.021589 Loss_D_real: -0.028903 Loss_D_fake -0.006692
[1162/5000][425/535][119880] Loss_D: -0.021012 Loss_G: 0.007712 Loss_D_real: -0.012831 Loss_D_fake 0.008180
[1162/5000][430/535][119881] Loss_D: -0.022208 Loss_G: -0.005615 Loss_D_real: -0.009739 Loss_D_fake 0.012470
[1162/5000][435/535][119882] Loss_D: -0.021730 Loss_G: 0.011642 Loss_D_real: -0.019086 Loss_D_fake 0.002644
[1162/5000][440/535][119883] Loss_D: -0.021221 Loss_G: 0.020813 Loss_D_real: -0.025277 Loss_D_fake -0.004056
[1162/5000][445/535][119884] Loss_D: -0.022783 Loss_G: 0.006021 Loss_D_real: -0.013399 Loss_D_fake 0.009385
[1162/5000][450/535][119885] Loss_D: -0.021668 Loss_G: -0.002187 Loss_D_real: -0.005113 Loss_D_fake 0.016555
[1162/5000][455/535][119886] Loss_D: -0.019945 Loss_G: 0.013417 Loss_D_real: -0.030065 Loss_D_fake -0.010120
[1162/5000][460/535][119887] Loss_D: -0.021469 Loss_G: 0.009504 Loss_D_real: -0.026132 Loss_D_fake -0.004664
[1162/5000][465/535][119888] Loss_D: -0.020875 Loss_G: 0.020685 Loss_D_real: -0.013271 Loss_D_fake 0.007604
[1162/5000][470/535][119889] Loss_D: -0.021379 Loss_G: 0.012560 Loss_D_real: -0.017510 Loss_D_fake 0.003869
[1162/5000][475/535][119890] Loss_D: -0.021169 Loss_G: 0.011415 Loss_D_real: -0.024175 Loss_D_fake -0.003006
[1162/5000][480/535][119891] Loss_D: -0.019766 Loss_G: 0.006477 Loss_D_real: -0.022638 Loss_D_fake -0.002872
[1162/5000][485/535][119892] Loss_D: -0.021561 Loss_G: 0.007788 Loss_D_real: -0.027264 Loss_D_fake -0.005703
[1162/5000][490/535][119893] Loss_D: -0.020632 Loss_G: 0.023281 Loss_D_real: -0.030544 Loss_D_fake -0.009912
[1162/5000][495/535][119894] Loss_D: -0.021426 Loss_G: -0.016967 Loss_D_real: -0.011551 Loss_D_fake 0.009874
[1162/5000][500/535][119895] Loss_D: -0.020232 Loss_G: 0.016461 Loss_D_real: -0.013210 Loss_D_fake 0.007022
[1162/5000][505/535][119896] Loss_D: -0.020195 Loss_G: 0.006048 Loss_D_real: -0.021308 Loss_D_fake -0.001113
[1162/5000][510/535][119897] Loss_D: -0.020401 Loss_G: 0.006381 Loss_D_real: -0.018094 Loss_D_fake 0.002307
[1162/5000][515/535][119898] Loss_D: -0.021171 Loss_G: 0.018733 Loss_D_real: -0.015185 Loss_D_fake 0.005987
[1162/5000][520/535][119899] Loss_D: -0.019415 Loss_G: 0.007299 Loss_D_real: -0.022616 Loss_D_fake -0.003201
[1162/5000][525/535][119900] Loss_D: -0.021362 Loss_G: 0.011292 Loss_D_real: -0.018453 Loss_D_fake 0.002909
[1162/5000][530/535][119901] Loss_D: -0.020939 Loss_G: 0.025079 Loss_D_real: -0.022455 Loss_D_fake -0.001516
[1162/5000][535/535][119902] Loss_D: -0.023435 Loss_G: 0.004772 Loss_D_real: -0.009317 Loss_D_fake 0.014118
[1163/5000][5/535][119903] Loss_D: -0.020935 Loss_G: -0.007271 Loss_D_real: -0.010620 Loss_D_fake 0.010315
[1163/5000][10/535][119904] Loss_D: -0.019988 Loss_G: 0.014568 Loss_D_real: -0.016090 Loss_D_fake 0.003898
[1163/5000][15/535][119905] Loss_D: -0.020636 Loss_G: 0.010295 Loss_D_real: -0.014285 Loss_D_fake 0.006351
[1163/5000][20/535][119906] Loss_D: -0.019006 Loss_G: 0.019091 Loss_D_real: -0.028279 Loss_D_fake -0.009273
[1163/5000][25/535][119907] Loss_D: -0.021974 Loss_G: 0.010374 Loss_D_real: -0.030188 Loss_D_fake -0.008214
[1163/5000][30/535][119908] Loss_D: -0.020004 Loss_G: 0.016054 Loss_D_real: -0.030040 Loss_D_fake -0.010036
[1163/5000][35/535][119909] Loss_D: -0.021875 Loss_G: 0.001092 Loss_D_real: -0.012427 Loss_D_fake 0.009447
[1163/5000][40/535][119910] Loss_D: -0.020789 Loss_G: 0.005638 Loss_D_real: -0.009749 Loss_D_fake 0.011040
[1163/5000][45/535][119911] Loss_D: -0.020230 Loss_G: 0.024277 Loss_D_real: -0.032747 Loss_D_fake -0.012517
[1163/5000][50/535][119912] Loss_D: -0.021883 Loss_G: -0.024295 Loss_D_real: -0.004013 Loss_D_fake 0.017871
[1163/5000][55/535][119913] Loss_D: -0.020065 Loss_G: 0.018089 Loss_D_real: -0.015381 Loss_D_fake 0.004684
[1163/5000][60/535][119914] Loss_D: -0.020086 Loss_G: 0.001744 Loss_D_real: -0.013702 Loss_D_fake 0.006384
[1163/5000][65/535][119915] Loss_D: -0.017346 Loss_G: 0.023046 Loss_D_real: -0.038003 Loss_D_fake -0.020658
[1163/5000][70/535][119916] Loss_D: -0.020452 Loss_G: -0.009688 Loss_D_real: -0.008082 Loss_D_fake 0.012370
[1163/5000][75/535][119917] Loss_D: -0.020080 Loss_G: 0.013304 Loss_D_real: -0.019390 Loss_D_fake 0.000690
[1163/5000][80/535][119918] Loss_D: -0.020167 Loss_G: -0.017268 Loss_D_real: -0.001798 Loss_D_fake 0.018369
[1163/5000][85/535][119919] Loss_D: -0.020226 Loss_G: 0.011940 Loss_D_real: -0.021597 Loss_D_fake -0.001371
[1163/5000][90/535][119920] Loss_D: -0.020270 Loss_G: -0.007330 Loss_D_real: -0.007573 Loss_D_fake 0.012697
[1163/5000][95/535][119921] Loss_D: -0.021174 Loss_G: 0.013187 Loss_D_real: -0.015875 Loss_D_fake 0.005300
[1163/5000][100/535][119922] Loss_D: -0.020631 Loss_G: -0.008649 Loss_D_real: -0.018742 Loss_D_fake 0.001889
[1163/5000][105/535][119923] Loss_D: -0.021343 Loss_G: 0.018022 Loss_D_real: -0.021562 Loss_D_fake -0.000219
[1163/5000][110/535][119924] Loss_D: -0.021501 Loss_G: -0.002572 Loss_D_real: -0.007401 Loss_D_fake 0.014101
[1163/5000][115/535][119925] Loss_D: -0.020472 Loss_G: -0.001172 Loss_D_real: -0.007917 Loss_D_fake 0.012555
[1163/5000][120/535][119926] Loss_D: -0.019867 Loss_G: -0.000206 Loss_D_real: -0.009246 Loss_D_fake 0.010621
[1163/5000][125/535][119927] Loss_D: -0.020532 Loss_G: 0.001643 Loss_D_real: -0.010351 Loss_D_fake 0.010181
[1163/5000][130/535][119928] Loss_D: -0.021374 Loss_G: 0.009540 Loss_D_real: -0.015367 Loss_D_fake 0.006007
[1163/5000][135/535][119929] Loss_D: -0.021466 Loss_G: 0.024080 Loss_D_real: -0.025040 Loss_D_fake -0.003575
[1163/5000][140/535][119930] Loss_D: -0.019544 Loss_G: 0.020382 Loss_D_real: -0.031794 Loss_D_fake -0.012250
[1163/5000][145/535][119931] Loss_D: -0.020148 Loss_G: -0.003184 Loss_D_real: -0.020225 Loss_D_fake -0.000077
[1163/5000][150/535][119932] Loss_D: -0.020685 Loss_G: 0.009000 Loss_D_real: -0.028287 Loss_D_fake -0.007602
[1163/5000][155/535][119933] Loss_D: -0.022311 Loss_G: -0.007847 Loss_D_real: -0.011347 Loss_D_fake 0.010964
[1163/5000][160/535][119934] Loss_D: -0.020276 Loss_G: 0.019978 Loss_D_real: -0.030744 Loss_D_fake -0.010468
[1163/5000][165/535][119935] Loss_D: -0.021198 Loss_G: -0.007937 Loss_D_real: -0.016089 Loss_D_fake 0.005109
[1163/5000][170/535][119936] Loss_D: -0.022148 Loss_G: 0.010715 Loss_D_real: -0.025035 Loss_D_fake -0.002887
[1163/5000][175/535][119937] Loss_D: -0.019903 Loss_G: -0.019843 Loss_D_real: -0.004419 Loss_D_fake 0.015484
[1163/5000][180/535][119938] Loss_D: -0.021297 Loss_G: -0.001184 Loss_D_real: -0.028681 Loss_D_fake -0.007385
[1163/5000][185/535][119939] Loss_D: -0.021318 Loss_G: 0.016026 Loss_D_real: -0.020415 Loss_D_fake 0.000903
[1163/5000][190/535][119940] Loss_D: -0.019323 Loss_G: 0.029444 Loss_D_real: -0.034397 Loss_D_fake -0.015074
[1163/5000][195/535][119941] Loss_D: -0.019769 Loss_G: -0.004656 Loss_D_real: -0.002251 Loss_D_fake 0.017518
[1163/5000][200/535][119942] Loss_D: -0.020310 Loss_G: 0.010376 Loss_D_real: -0.018571 Loss_D_fake 0.001739
[1163/5000][205/535][119943] Loss_D: -0.020647 Loss_G: 0.022522 Loss_D_real: -0.032209 Loss_D_fake -0.011562
[1163/5000][210/535][119944] Loss_D: -0.018944 Loss_G: 0.019602 Loss_D_real: -0.034668 Loss_D_fake -0.015724
[1163/5000][215/535][119945] Loss_D: -0.020844 Loss_G: 0.020932 Loss_D_real: -0.033298 Loss_D_fake -0.012455
[1163/5000][220/535][119946] Loss_D: -0.020742 Loss_G: 0.003161 Loss_D_real: -0.012639 Loss_D_fake 0.008104
[1163/5000][225/535][119947] Loss_D: -0.020979 Loss_G: -0.004808 Loss_D_real: -0.013286 Loss_D_fake 0.007692
[1163/5000][230/535][119948] Loss_D: -0.021056 Loss_G: 0.010772 Loss_D_real: -0.037065 Loss_D_fake -0.016009
[1163/5000][235/535][119949] Loss_D: -0.022413 Loss_G: 0.000457 Loss_D_real: -0.013576 Loss_D_fake 0.008837
[1163/5000][240/535][119950] Loss_D: -0.020902 Loss_G: 0.016655 Loss_D_real: -0.013133 Loss_D_fake 0.007769
[1163/5000][245/535][119951] Loss_D: -0.019806 Loss_G: 0.016528 Loss_D_real: -0.026369 Loss_D_fake -0.006563
[1163/5000][250/535][119952] Loss_D: -0.020362 Loss_G: -0.009075 Loss_D_real: -0.017629 Loss_D_fake 0.002732
[1163/5000][255/535][119953] Loss_D: -0.020740 Loss_G: 0.018537 Loss_D_real: -0.027266 Loss_D_fake -0.006525
[1163/5000][260/535][119954] Loss_D: -0.020847 Loss_G: 0.016332 Loss_D_real: -0.013440 Loss_D_fake 0.007406
[1163/5000][265/535][119955] Loss_D: -0.021599 Loss_G: -0.007501 Loss_D_real: -0.016836 Loss_D_fake 0.004763
[1163/5000][270/535][119956] Loss_D: -0.020471 Loss_G: -0.001527 Loss_D_real: -0.012820 Loss_D_fake 0.007652
[1163/5000][275/535][119957] Loss_D: -0.021736 Loss_G: 0.002034 Loss_D_real: -0.013477 Loss_D_fake 0.008258
[1163/5000][280/535][119958] Loss_D: -0.018746 Loss_G: 0.024974 Loss_D_real: -0.033317 Loss_D_fake -0.014570
[1163/5000][285/535][119959] Loss_D: -0.020263 Loss_G: 0.000089 Loss_D_real: -0.010533 Loss_D_fake 0.009731
[1163/5000][290/535][119960] Loss_D: -0.020791 Loss_G: 0.023977 Loss_D_real: -0.027790 Loss_D_fake -0.006999
[1163/5000][295/535][119961] Loss_D: -0.022181 Loss_G: 0.001630 Loss_D_real: -0.011363 Loss_D_fake 0.010818
[1163/5000][300/535][119962] Loss_D: -0.020856 Loss_G: 0.012421 Loss_D_real: -0.019098 Loss_D_fake 0.001758
[1163/5000][305/535][119963] Loss_D: -0.020952 Loss_G: 0.007937 Loss_D_real: -0.011500 Loss_D_fake 0.009451
[1163/5000][310/535][119964] Loss_D: -0.022544 Loss_G: 0.007942 Loss_D_real: -0.016433 Loss_D_fake 0.006111
[1163/5000][315/535][119965] Loss_D: -0.022018 Loss_G: 0.009239 Loss_D_real: -0.009562 Loss_D_fake 0.012456
[1163/5000][320/535][119966] Loss_D: -0.022572 Loss_G: 0.016074 Loss_D_real: -0.025159 Loss_D_fake -0.002588
[1163/5000][325/535][119967] Loss_D: -0.020893 Loss_G: 0.017790 Loss_D_real: -0.014459 Loss_D_fake 0.006434
[1163/5000][330/535][119968] Loss_D: -0.021466 Loss_G: -0.003345 Loss_D_real: -0.016250 Loss_D_fake 0.005216
[1163/5000][335/535][119969] Loss_D: -0.020227 Loss_G: -0.004465 Loss_D_real: -0.007861 Loss_D_fake 0.012367
[1163/5000][340/535][119970] Loss_D: -0.019901 Loss_G: 0.002082 Loss_D_real: -0.019703 Loss_D_fake 0.000199
[1163/5000][345/535][119971] Loss_D: -0.021251 Loss_G: 0.019567 Loss_D_real: -0.026587 Loss_D_fake -0.005336
[1163/5000][350/535][119972] Loss_D: -0.019838 Loss_G: 0.012043 Loss_D_real: -0.016055 Loss_D_fake 0.003783
[1163/5000][355/535][119973] Loss_D: -0.018912 Loss_G: 0.008565 Loss_D_real: -0.029115 Loss_D_fake -0.010203
[1163/5000][360/535][119974] Loss_D: -0.020731 Loss_G: -0.005559 Loss_D_real: -0.013086 Loss_D_fake 0.007645
[1163/5000][365/535][119975] Loss_D: -0.021069 Loss_G: 0.006215 Loss_D_real: -0.013884 Loss_D_fake 0.007185
[1163/5000][370/535][119976] Loss_D: -0.020306 Loss_G: 0.024620 Loss_D_real: -0.028139 Loss_D_fake -0.007833
[1163/5000][375/535][119977] Loss_D: -0.020134 Loss_G: 0.022543 Loss_D_real: -0.018485 Loss_D_fake 0.001649
[1163/5000][380/535][119978] Loss_D: -0.020999 Loss_G: 0.005860 Loss_D_real: -0.030978 Loss_D_fake -0.009979
[1163/5000][385/535][119979] Loss_D: -0.020552 Loss_G: 0.024822 Loss_D_real: -0.032139 Loss_D_fake -0.011587
[1163/5000][390/535][119980] Loss_D: -0.020760 Loss_G: 0.004626 Loss_D_real: -0.004706 Loss_D_fake 0.016053
[1163/5000][395/535][119981] Loss_D: -0.021533 Loss_G: 0.003842 Loss_D_real: -0.018927 Loss_D_fake 0.002607
[1163/5000][400/535][119982] Loss_D: -0.019258 Loss_G: 0.021125 Loss_D_real: -0.029538 Loss_D_fake -0.010280
[1163/5000][405/535][119983] Loss_D: -0.021070 Loss_G: -0.000768 Loss_D_real: -0.019720 Loss_D_fake 0.001349
[1163/5000][410/535][119984] Loss_D: -0.020525 Loss_G: 0.016403 Loss_D_real: -0.014446 Loss_D_fake 0.006080
[1163/5000][415/535][119985] Loss_D: -0.020940 Loss_G: 0.016066 Loss_D_real: -0.021582 Loss_D_fake -0.000642
[1163/5000][420/535][119986] Loss_D: -0.021775 Loss_G: 0.008172 Loss_D_real: -0.033176 Loss_D_fake -0.011400
[1163/5000][425/535][119987] Loss_D: -0.021195 Loss_G: -0.008737 Loss_D_real: -0.009973 Loss_D_fake 0.011223
[1163/5000][430/535][119988] Loss_D: -0.021255 Loss_G: 0.020822 Loss_D_real: -0.026934 Loss_D_fake -0.005679
[1163/5000][435/535][119989] Loss_D: -0.020688 Loss_G: 0.010784 Loss_D_real: -0.015764 Loss_D_fake 0.004924
[1163/5000][440/535][119990] Loss_D: -0.020043 Loss_G: -0.000345 Loss_D_real: -0.020820 Loss_D_fake -0.000777
[1163/5000][445/535][119991] Loss_D: -0.020712 Loss_G: 0.033664 Loss_D_real: -0.023807 Loss_D_fake -0.003094
[1163/5000][450/535][119992] Loss_D: -0.020616 Loss_G: 0.020526 Loss_D_real: -0.028480 Loss_D_fake -0.007864
[1163/5000][455/535][119993] Loss_D: -0.021400 Loss_G: 0.003220 Loss_D_real: -0.016576 Loss_D_fake 0.004824
[1163/5000][460/535][119994] Loss_D: -0.021765 Loss_G: 0.030909 Loss_D_real: -0.039786 Loss_D_fake -0.018020
[1163/5000][465/535][119995] Loss_D: -0.021068 Loss_G: 0.002789 Loss_D_real: -0.019315 Loss_D_fake 0.001752
[1163/5000][470/535][119996] Loss_D: -0.021703 Loss_G: 0.012117 Loss_D_real: -0.016501 Loss_D_fake 0.005202
[1163/5000][475/535][119997] Loss_D: -0.020680 Loss_G: -0.004572 Loss_D_real: -0.011417 Loss_D_fake 0.009263
[1163/5000][480/535][119998] Loss_D: -0.019950 Loss_G: 0.017297 Loss_D_real: -0.026739 Loss_D_fake -0.006789
[1163/5000][485/535][119999] Loss_D: -0.021168 Loss_G: -0.013563 Loss_D_real: -0.003056 Loss_D_fake 0.018112
[1163/5000][490/535][120000] Loss_D: -0.020838 Loss_G: 0.009128 Loss_D_real: -0.023918 Loss_D_fake -0.003080
[1163/5000][535/535][120001] Loss_D: -0.022511 Loss_G: 0.030957 Loss_D_real: -0.022644 Loss_D_fake -0.000133
[1164/5000][5/535][120002] Loss_D: -0.022884 Loss_G: 0.016831 Loss_D_real: -0.020002 Loss_D_fake 0.002882
[1164/5000][10/535][120003] Loss_D: -0.020860 Loss_G: -0.011423 Loss_D_real: -0.007554 Loss_D_fake 0.013306
[1164/5000][15/535][120004] Loss_D: -0.021345 Loss_G: 0.013271 Loss_D_real: -0.019777 Loss_D_fake 0.001568
[1164/5000][20/535][120005] Loss_D: -0.020576 Loss_G: -0.008872 Loss_D_real: -0.019774 Loss_D_fake 0.000801
[1164/5000][25/535][120006] Loss_D: -0.021013 Loss_G: 0.011614 Loss_D_real: -0.031771 Loss_D_fake -0.010759
[1164/5000][30/535][120007] Loss_D: -0.020447 Loss_G: 0.023380 Loss_D_real: -0.022508 Loss_D_fake -0.002061
[1164/5000][35/535][120008] Loss_D: -0.021650 Loss_G: 0.017929 Loss_D_real: -0.028423 Loss_D_fake -0.006773
[1164/5000][40/535][120009] Loss_D: -0.021903 Loss_G: 0.006322 Loss_D_real: -0.028022 Loss_D_fake -0.006119
[1164/5000][45/535][120010] Loss_D: -0.021297 Loss_G: 0.006375 Loss_D_real: -0.014577 Loss_D_fake 0.006720
[1164/5000][50/535][120011] Loss_D: -0.020288 Loss_G: -0.007695 Loss_D_real: -0.008640 Loss_D_fake 0.011648
[1164/5000][55/535][120012] Loss_D: -0.019989 Loss_G: 0.000944 Loss_D_real: -0.023705 Loss_D_fake -0.003716
[1164/5000][60/535][120013] Loss_D: -0.020516 Loss_G: -0.018157 Loss_D_real: 0.000750 Loss_D_fake 0.021266
[1164/5000][65/535][120014] Loss_D: -0.019464 Loss_G: 0.025393 Loss_D_real: -0.027800 Loss_D_fake -0.008336
[1164/5000][70/535][120015] Loss_D: -0.019944 Loss_G: 0.019899 Loss_D_real: -0.018170 Loss_D_fake 0.001774
[1164/5000][75/535][120016] Loss_D: -0.020041 Loss_G: 0.014138 Loss_D_real: -0.032179 Loss_D_fake -0.012138
[1164/5000][80/535][120017] Loss_D: -0.020882 Loss_G: -0.005492 Loss_D_real: -0.010261 Loss_D_fake 0.010621
[1164/5000][85/535][120018] Loss_D: -0.021697 Loss_G: -0.001191 Loss_D_real: -0.008024 Loss_D_fake 0.013673
[1164/5000][90/535][120019] Loss_D: -0.020897 Loss_G: 0.005566 Loss_D_real: -0.010184 Loss_D_fake 0.010713
[1164/5000][95/535][120020] Loss_D: -0.020681 Loss_G: 0.011795 Loss_D_real: -0.015297 Loss_D_fake 0.005384
[1164/5000][100/535][120021] Loss_D: -0.021053 Loss_G: 0.010882 Loss_D_real: -0.028059 Loss_D_fake -0.007007
[1164/5000][105/535][120022] Loss_D: -0.020006 Loss_G: 0.012375 Loss_D_real: -0.025669 Loss_D_fake -0.005663
[1164/5000][110/535][120023] Loss_D: -0.018544 Loss_G: -0.020552 Loss_D_real: 0.007674 Loss_D_fake 0.026218
[1164/5000][115/535][120024] Loss_D: -0.020804 Loss_G: 0.002348 Loss_D_real: -0.015406 Loss_D_fake 0.005399
[1164/5000][120/535][120025] Loss_D: -0.020453 Loss_G: 0.020172 Loss_D_real: -0.026429 Loss_D_fake -0.005975
[1164/5000][125/535][120026] Loss_D: -0.021681 Loss_G: 0.012483 Loss_D_real: -0.020728 Loss_D_fake 0.000953
[1164/5000][130/535][120027] Loss_D: -0.020043 Loss_G: -0.005714 Loss_D_real: -0.001991 Loss_D_fake 0.018052
[1164/5000][135/535][120028] Loss_D: -0.020619 Loss_G: 0.021866 Loss_D_real: -0.028985 Loss_D_fake -0.008366
[1164/5000][140/535][120029] Loss_D: -0.019557 Loss_G: -0.006657 Loss_D_real: -0.013107 Loss_D_fake 0.006450
[1164/5000][145/535][120030] Loss_D: -0.020142 Loss_G: 0.021805 Loss_D_real: -0.026606 Loss_D_fake -0.006464
[1164/5000][150/535][120031] Loss_D: -0.020377 Loss_G: 0.010518 Loss_D_real: -0.031318 Loss_D_fake -0.010941
[1164/5000][155/535][120032] Loss_D: -0.020722 Loss_G: 0.011331 Loss_D_real: -0.023077 Loss_D_fake -0.002355
[1164/5000][160/535][120033] Loss_D: -0.021414 Loss_G: -0.005618 Loss_D_real: -0.006708 Loss_D_fake 0.014706
[1164/5000][165/535][120034] Loss_D: -0.020785 Loss_G: 0.023607 Loss_D_real: -0.030808 Loss_D_fake -0.010023
[1164/5000][170/535][120035] Loss_D: -0.020388 Loss_G: 0.009738 Loss_D_real: -0.008676 Loss_D_fake 0.011713
[1164/5000][175/535][120036] Loss_D: -0.018956 Loss_G: 0.006959 Loss_D_real: -0.011015 Loss_D_fake 0.007941
[1164/5000][180/535][120037] Loss_D: -0.020139 Loss_G: 0.021830 Loss_D_real: -0.017603 Loss_D_fake 0.002536
[1164/5000][185/535][120038] Loss_D: -0.019875 Loss_G: 0.006859 Loss_D_real: -0.021918 Loss_D_fake -0.002043
[1164/5000][190/535][120039] Loss_D: -0.020147 Loss_G: -0.007224 Loss_D_real: -0.017528 Loss_D_fake 0.002619
[1164/5000][195/535][120040] Loss_D: -0.019959 Loss_G: -0.013641 Loss_D_real: -0.012039 Loss_D_fake 0.007920
[1164/5000][200/535][120041] Loss_D: -0.021191 Loss_G: 0.024933 Loss_D_real: -0.015312 Loss_D_fake 0.005879
[1164/5000][205/535][120042] Loss_D: -0.019903 Loss_G: -0.015893 Loss_D_real: -0.006062 Loss_D_fake 0.013841
[1164/5000][210/535][120043] Loss_D: -0.021031 Loss_G: 0.004964 Loss_D_real: -0.021896 Loss_D_fake -0.000865
[1164/5000][215/535][120044] Loss_D: -0.020977 Loss_G: 0.004145 Loss_D_real: -0.034194 Loss_D_fake -0.013217
[1164/5000][220/535][120045] Loss_D: -0.021521 Loss_G: 0.009149 Loss_D_real: -0.011985 Loss_D_fake 0.009536
[1164/5000][225/535][120046] Loss_D: -0.022135 Loss_G: 0.009939 Loss_D_real: -0.020287 Loss_D_fake 0.001848
[1164/5000][230/535][120047] Loss_D: -0.020499 Loss_G: 0.017191 Loss_D_real: -0.021560 Loss_D_fake -0.001061
[1164/5000][235/535][120048] Loss_D: -0.022561 Loss_G: 0.002300 Loss_D_real: -0.017623 Loss_D_fake 0.004938
[1164/5000][240/535][120049] Loss_D: -0.020914 Loss_G: 0.019021 Loss_D_real: -0.016140 Loss_D_fake 0.004774
[1164/5000][245/535][120050] Loss_D: -0.019846 Loss_G: 0.029575 Loss_D_real: -0.031610 Loss_D_fake -0.011764
[1164/5000][250/535][120051] Loss_D: -0.020457 Loss_G: 0.007081 Loss_D_real: -0.019212 Loss_D_fake 0.001244
[1164/5000][255/535][120052] Loss_D: -0.021491 Loss_G: 0.008873 Loss_D_real: -0.027734 Loss_D_fake -0.006243
[1164/5000][260/535][120053] Loss_D: -0.020444 Loss_G: 0.029256 Loss_D_real: -0.027654 Loss_D_fake -0.007210
[1164/5000][265/535][120054] Loss_D: -0.021395 Loss_G: 0.000948 Loss_D_real: -0.013329 Loss_D_fake 0.008067
[1164/5000][270/535][120055] Loss_D: -0.022005 Loss_G: 0.006371 Loss_D_real: -0.020496 Loss_D_fake 0.001509
[1164/5000][275/535][120056] Loss_D: -0.021287 Loss_G: -0.005923 Loss_D_real: -0.009790 Loss_D_fake 0.011497
[1164/5000][280/535][120057] Loss_D: -0.020778 Loss_G: -0.003887 Loss_D_real: -0.020590 Loss_D_fake 0.000188
[1164/5000][285/535][120058] Loss_D: -0.021034 Loss_G: -0.005126 Loss_D_real: -0.009905 Loss_D_fake 0.011129
[1164/5000][290/535][120059] Loss_D: -0.021171 Loss_G: 0.011094 Loss_D_real: -0.030468 Loss_D_fake -0.009298
[1164/5000][295/535][120060] Loss_D: -0.021744 Loss_G: 0.022877 Loss_D_real: -0.029069 Loss_D_fake -0.007326
[1164/5000][300/535][120061] Loss_D: -0.020462 Loss_G: 0.015225 Loss_D_real: -0.015449 Loss_D_fake 0.005013
[1164/5000][305/535][120062] Loss_D: -0.021442 Loss_G: 0.014411 Loss_D_real: -0.029091 Loss_D_fake -0.007649
[1164/5000][310/535][120063] Loss_D: -0.020241 Loss_G: 0.016770 Loss_D_real: -0.022810 Loss_D_fake -0.002569
[1164/5000][315/535][120064] Loss_D: -0.020905 Loss_G: -0.010724 Loss_D_real: -0.002308 Loss_D_fake 0.018596
[1164/5000][320/535][120065] Loss_D: -0.020055 Loss_G: 0.003080 Loss_D_real: -0.014405 Loss_D_fake 0.005651
[1164/5000][325/535][120066] Loss_D: -0.019426 Loss_G: 0.012242 Loss_D_real: -0.027382 Loss_D_fake -0.007955
[1164/5000][330/535][120067] Loss_D: -0.020601 Loss_G: 0.014516 Loss_D_real: -0.019763 Loss_D_fake 0.000838
[1164/5000][335/535][120068] Loss_D: -0.021240 Loss_G: -0.006901 Loss_D_real: -0.030186 Loss_D_fake -0.008946
[1164/5000][340/535][120069] Loss_D: -0.021063 Loss_G: 0.014492 Loss_D_real: -0.019050 Loss_D_fake 0.002014
[1164/5000][345/535][120070] Loss_D: -0.019775 Loss_G: 0.009110 Loss_D_real: -0.013755 Loss_D_fake 0.006020
[1164/5000][350/535][120071] Loss_D: -0.021147 Loss_G: -0.002194 Loss_D_real: -0.011795 Loss_D_fake 0.009352
[1164/5000][355/535][120072] Loss_D: -0.020833 Loss_G: 0.022341 Loss_D_real: -0.028703 Loss_D_fake -0.007871
[1164/5000][360/535][120073] Loss_D: -0.020470 Loss_G: 0.007348 Loss_D_real: -0.021033 Loss_D_fake -0.000563
[1164/5000][365/535][120074] Loss_D: -0.019842 Loss_G: 0.006917 Loss_D_real: -0.010882 Loss_D_fake 0.008960
[1164/5000][370/535][120075] Loss_D: -0.020224 Loss_G: 0.010227 Loss_D_real: -0.021725 Loss_D_fake -0.001502
[1164/5000][375/535][120076] Loss_D: -0.019490 Loss_G: 0.007382 Loss_D_real: -0.030684 Loss_D_fake -0.011194
[1164/5000][380/535][120077] Loss_D: -0.021571 Loss_G: 0.021148 Loss_D_real: -0.035841 Loss_D_fake -0.014271
[1164/5000][385/535][120078] Loss_D: -0.019336 Loss_G: -0.010943 Loss_D_real: -0.006057 Loss_D_fake 0.013279
[1164/5000][390/535][120079] Loss_D: -0.021341 Loss_G: -0.000021 Loss_D_real: -0.010843 Loss_D_fake 0.010498
[1164/5000][395/535][120080] Loss_D: -0.021948 Loss_G: 0.011332 Loss_D_real: -0.015937 Loss_D_fake 0.006011
[1164/5000][400/535][120081] Loss_D: -0.021530 Loss_G: 0.023338 Loss_D_real: -0.020239 Loss_D_fake 0.001291
[1164/5000][405/535][120082] Loss_D: -0.022994 Loss_G: -0.001140 Loss_D_real: -0.020909 Loss_D_fake 0.002085
[1164/5000][410/535][120083] Loss_D: -0.020503 Loss_G: 0.009586 Loss_D_real: -0.013693 Loss_D_fake 0.006810
[1164/5000][415/535][120084] Loss_D: -0.021082 Loss_G: -0.004065 Loss_D_real: -0.001391 Loss_D_fake 0.019691
[1164/5000][420/535][120085] Loss_D: -0.021429 Loss_G: 0.031300 Loss_D_real: -0.027179 Loss_D_fake -0.005750
[1164/5000][425/535][120086] Loss_D: -0.021602 Loss_G: 0.007516 Loss_D_real: -0.017151 Loss_D_fake 0.004450
[1164/5000][430/535][120087] Loss_D: -0.019972 Loss_G: -0.003335 Loss_D_real: -0.004965 Loss_D_fake 0.015007
[1164/5000][435/535][120088] Loss_D: -0.019446 Loss_G: -0.013037 Loss_D_real: -0.016897 Loss_D_fake 0.002549
[1164/5000][440/535][120089] Loss_D: -0.020432 Loss_G: 0.005160 Loss_D_real: -0.022266 Loss_D_fake -0.001834
[1164/5000][445/535][120090] Loss_D: -0.021099 Loss_G: 0.008751 Loss_D_real: -0.025446 Loss_D_fake -0.004346
[1164/5000][450/535][120091] Loss_D: -0.020218 Loss_G: 0.012733 Loss_D_real: -0.023963 Loss_D_fake -0.003745
[1164/5000][455/535][120092] Loss_D: -0.020662 Loss_G: 0.015229 Loss_D_real: -0.025055 Loss_D_fake -0.004393
[1164/5000][460/535][120093] Loss_D: -0.021709 Loss_G: 0.008865 Loss_D_real: -0.011058 Loss_D_fake 0.010651
[1164/5000][465/535][120094] Loss_D: -0.020511 Loss_G: 0.001681 Loss_D_real: -0.016052 Loss_D_fake 0.004459
[1164/5000][470/535][120095] Loss_D: -0.020546 Loss_G: 0.014058 Loss_D_real: -0.019763 Loss_D_fake 0.000783
[1164/5000][475/535][120096] Loss_D: -0.021372 Loss_G: 0.003211 Loss_D_real: -0.017995 Loss_D_fake 0.003377
[1164/5000][480/535][120097] Loss_D: -0.020623 Loss_G: 0.009009 Loss_D_real: -0.021029 Loss_D_fake -0.000406
[1164/5000][485/535][120098] Loss_D: -0.021576 Loss_G: 0.003060 Loss_D_real: -0.022777 Loss_D_fake -0.001201
[1164/5000][490/535][120099] Loss_D: -0.021115 Loss_G: 0.023028 Loss_D_real: -0.021137 Loss_D_fake -0.000022
[1164/5000][495/535][120100] Loss_D: -0.019350 Loss_G: 0.007339 Loss_D_real: -0.026412 Loss_D_fake -0.007063
[1164/5000][500/535][120101] Loss_D: -0.019471 Loss_G: 0.026104 Loss_D_real: -0.028839 Loss_D_fake -0.009368
[1164/5000][505/535][120102] Loss_D: -0.020907 Loss_G: 0.003852 Loss_D_real: -0.015742 Loss_D_fake 0.005165
[1164/5000][510/535][120103] Loss_D: -0.021008 Loss_G: 0.004735 Loss_D_real: -0.017449 Loss_D_fake 0.003559
[1164/5000][515/535][120104] Loss_D: -0.021353 Loss_G: 0.003613 Loss_D_real: -0.009021 Loss_D_fake 0.012332
[1164/5000][520/535][120105] Loss_D: -0.021285 Loss_G: -0.013452 Loss_D_real: -0.008704 Loss_D_fake 0.012581
[1164/5000][525/535][120106] Loss_D: -0.021604 Loss_G: 0.010884 Loss_D_real: -0.028694 Loss_D_fake -0.007090
[1164/5000][530/535][120107] Loss_D: -0.020231 Loss_G: 0.030527 Loss_D_real: -0.034303 Loss_D_fake -0.014072
[1164/5000][535/535][120108] Loss_D: -0.023352 Loss_G: 0.002957 Loss_D_real: -0.018483 Loss_D_fake 0.004869
[1165/5000][5/535][120109] Loss_D: -0.021944 Loss_G: 0.022970 Loss_D_real: -0.028920 Loss_D_fake -0.006976
[1165/5000][10/535][120110] Loss_D: -0.021267 Loss_G: 0.020265 Loss_D_real: -0.027570 Loss_D_fake -0.006303
[1165/5000][15/535][120111] Loss_D: -0.021099 Loss_G: 0.007728 Loss_D_real: -0.024420 Loss_D_fake -0.003321
[1165/5000][20/535][120112] Loss_D: -0.021173 Loss_G: 0.018921 Loss_D_real: -0.025446 Loss_D_fake -0.004273
[1165/5000][25/535][120113] Loss_D: -0.021197 Loss_G: 0.011945 Loss_D_real: -0.017837 Loss_D_fake 0.003360
[1165/5000][30/535][120114] Loss_D: -0.019849 Loss_G: 0.030936 Loss_D_real: -0.032166 Loss_D_fake -0.012317
[1165/5000][35/535][120115] Loss_D: -0.020090 Loss_G: 0.009417 Loss_D_real: -0.014250 Loss_D_fake 0.005840
[1165/5000][40/535][120116] Loss_D: -0.019960 Loss_G: 0.017524 Loss_D_real: -0.023323 Loss_D_fake -0.003363
[1165/5000][45/535][120117] Loss_D: -0.022567 Loss_G: -0.008109 Loss_D_real: -0.016854 Loss_D_fake 0.005713
[1165/5000][50/535][120118] Loss_D: -0.020023 Loss_G: 0.011643 Loss_D_real: -0.028988 Loss_D_fake -0.008965
[1165/5000][55/535][120119] Loss_D: -0.021152 Loss_G: 0.016582 Loss_D_real: -0.018802 Loss_D_fake 0.002351
[1165/5000][60/535][120120] Loss_D: -0.020035 Loss_G: -0.018541 Loss_D_real: 0.005158 Loss_D_fake 0.025194
[1165/5000][65/535][120121] Loss_D: -0.020241 Loss_G: 0.011774 Loss_D_real: -0.016702 Loss_D_fake 0.003539
[1165/5000][70/535][120122] Loss_D: -0.019751 Loss_G: 0.015461 Loss_D_real: -0.034826 Loss_D_fake -0.015076
[1165/5000][75/535][120123] Loss_D: -0.018800 Loss_G: 0.020225 Loss_D_real: -0.024685 Loss_D_fake -0.005885
[1165/5000][80/535][120124] Loss_D: -0.020444 Loss_G: 0.019651 Loss_D_real: -0.025817 Loss_D_fake -0.005373
[1165/5000][85/535][120125] Loss_D: -0.020511 Loss_G: -0.002219 Loss_D_real: -0.019115 Loss_D_fake 0.001396
[1165/5000][90/535][120126] Loss_D: -0.020743 Loss_G: 0.018967 Loss_D_real: -0.016976 Loss_D_fake 0.003767
[1165/5000][95/535][120127] Loss_D: -0.020695 Loss_G: 0.005197 Loss_D_real: -0.006394 Loss_D_fake 0.014301
[1165/5000][100/535][120128] Loss_D: -0.020271 Loss_G: 0.021639 Loss_D_real: -0.025391 Loss_D_fake -0.005120
[1165/5000][105/535][120129] Loss_D: -0.020766 Loss_G: 0.010497 Loss_D_real: -0.010818 Loss_D_fake 0.009948
[1165/5000][110/535][120130] Loss_D: -0.021218 Loss_G: 0.001584 Loss_D_real: -0.016093 Loss_D_fake 0.005125
[1165/5000][115/535][120131] Loss_D: -0.021567 Loss_G: 0.017086 Loss_D_real: -0.024750 Loss_D_fake -0.003182
[1165/5000][120/535][120132] Loss_D: -0.021114 Loss_G: 0.001180 Loss_D_real: -0.032779 Loss_D_fake -0.011665
[1165/5000][125/535][120133] Loss_D: -0.020553 Loss_G: 0.011689 Loss_D_real: -0.025124 Loss_D_fake -0.004571
[1165/5000][130/535][120134] Loss_D: -0.019999 Loss_G: 0.013661 Loss_D_real: -0.022125 Loss_D_fake -0.002126
[1165/5000][135/535][120135] Loss_D: -0.019941 Loss_G: 0.013772 Loss_D_real: -0.025526 Loss_D_fake -0.005585
[1165/5000][140/535][120136] Loss_D: -0.021516 Loss_G: -0.004245 Loss_D_real: -0.009767 Loss_D_fake 0.011749
[1165/5000][145/535][120137] Loss_D: -0.020942 Loss_G: -0.014002 Loss_D_real: -0.003936 Loss_D_fake 0.017006
[1165/5000][150/535][120138] Loss_D: -0.021766 Loss_G: 0.016867 Loss_D_real: -0.017384 Loss_D_fake 0.004382
[1165/5000][155/535][120139] Loss_D: -0.020025 Loss_G: 0.018864 Loss_D_real: -0.032610 Loss_D_fake -0.012586
[1165/5000][160/535][120140] Loss_D: -0.020767 Loss_G: 0.018977 Loss_D_real: -0.021110 Loss_D_fake -0.000342
[1165/5000][165/535][120141] Loss_D: -0.021355 Loss_G: 0.018223 Loss_D_real: -0.008791 Loss_D_fake 0.012564
[1165/5000][170/535][120142] Loss_D: -0.020014 Loss_G: 0.011338 Loss_D_real: -0.019517 Loss_D_fake 0.000496
[1165/5000][175/535][120143] Loss_D: -0.020630 Loss_G: 0.025738 Loss_D_real: -0.032312 Loss_D_fake -0.011683
[1165/5000][180/535][120144] Loss_D: -0.021273 Loss_G: -0.015813 Loss_D_real: -0.003339 Loss_D_fake 0.017934
[1165/5000][185/535][120145] Loss_D: -0.020234 Loss_G: -0.006955 Loss_D_real: -0.008466 Loss_D_fake 0.011768
[1165/5000][190/535][120146] Loss_D: -0.019704 Loss_G: 0.020324 Loss_D_real: -0.023455 Loss_D_fake -0.003752
[1165/5000][195/535][120147] Loss_D: -0.021657 Loss_G: 0.006648 Loss_D_real: -0.016806 Loss_D_fake 0.004850
[1165/5000][200/535][120148] Loss_D: -0.021939 Loss_G: 0.014171 Loss_D_real: -0.013534 Loss_D_fake 0.008405
[1165/5000][205/535][120149] Loss_D: -0.021567 Loss_G: -0.000322 Loss_D_real: -0.015806 Loss_D_fake 0.005761
[1165/5000][210/535][120150] Loss_D: -0.020766 Loss_G: 0.023556 Loss_D_real: -0.025317 Loss_D_fake -0.004551
[1165/5000][215/535][120151] Loss_D: -0.020552 Loss_G: 0.005297 Loss_D_real: -0.012708 Loss_D_fake 0.007844
[1165/5000][220/535][120152] Loss_D: -0.020352 Loss_G: 0.023755 Loss_D_real: -0.024868 Loss_D_fake -0.004516
[1165/5000][225/535][120153] Loss_D: -0.021684 Loss_G: -0.007974 Loss_D_real: -0.012298 Loss_D_fake 0.009386
[1165/5000][230/535][120154] Loss_D: -0.021600 Loss_G: 0.013415 Loss_D_real: -0.026037 Loss_D_fake -0.004437
[1165/5000][235/535][120155] Loss_D: -0.020267 Loss_G: 0.005325 Loss_D_real: -0.015022 Loss_D_fake 0.005244
[1165/5000][240/535][120156] Loss_D: -0.020257 Loss_G: 0.000659 Loss_D_real: -0.020856 Loss_D_fake -0.000600
[1165/5000][245/535][120157] Loss_D: -0.018670 Loss_G: 0.032233 Loss_D_real: -0.030296 Loss_D_fake -0.011626
[1165/5000][250/535][120158] Loss_D: -0.022087 Loss_G: -0.000106 Loss_D_real: 0.000082 Loss_D_fake 0.022169
[1165/5000][255/535][120159] Loss_D: -0.020470 Loss_G: 0.010875 Loss_D_real: -0.014358 Loss_D_fake 0.006112
[1165/5000][260/535][120160] Loss_D: -0.021071 Loss_G: -0.017082 Loss_D_real: -0.001051 Loss_D_fake 0.020021
[1165/5000][265/535][120161] Loss_D: -0.020831 Loss_G: 0.022486 Loss_D_real: -0.018436 Loss_D_fake 0.002395
[1165/5000][270/535][120162] Loss_D: -0.020661 Loss_G: 0.006906 Loss_D_real: -0.023004 Loss_D_fake -0.002344
[1165/5000][275/535][120163] Loss_D: -0.020670 Loss_G: 0.017319 Loss_D_real: -0.029219 Loss_D_fake -0.008549
[1165/5000][280/535][120164] Loss_D: -0.019808 Loss_G: 0.013059 Loss_D_real: -0.021509 Loss_D_fake -0.001701
[1165/5000][285/535][120165] Loss_D: -0.019811 Loss_G: -0.015222 Loss_D_real: 0.002566 Loss_D_fake 0.022377
[1165/5000][290/535][120166] Loss_D: -0.020712 Loss_G: 0.007337 Loss_D_real: -0.013447 Loss_D_fake 0.007264
[1165/5000][295/535][120167] Loss_D: -0.019324 Loss_G: 0.029568 Loss_D_real: -0.026215 Loss_D_fake -0.006891
[1165/5000][300/535][120168] Loss_D: -0.019265 Loss_G: 0.017966 Loss_D_real: -0.025324 Loss_D_fake -0.006059
[1165/5000][305/535][120169] Loss_D: -0.019518 Loss_G: 0.014545 Loss_D_real: -0.024648 Loss_D_fake -0.005130
[1165/5000][310/535][120170] Loss_D: -0.021713 Loss_G: -0.009839 Loss_D_real: -0.013056 Loss_D_fake 0.008657
[1165/5000][315/535][120171] Loss_D: -0.019042 Loss_G: 0.021532 Loss_D_real: -0.031526 Loss_D_fake -0.012484
[1165/5000][320/535][120172] Loss_D: -0.019516 Loss_G: -0.011070 Loss_D_real: 0.004757 Loss_D_fake 0.024274
[1165/5000][325/535][120173] Loss_D: -0.020647 Loss_G: 0.008819 Loss_D_real: -0.023813 Loss_D_fake -0.003166
[1165/5000][330/535][120174] Loss_D: -0.022080 Loss_G: 0.004256 Loss_D_real: -0.002386 Loss_D_fake 0.019694
[1165/5000][335/535][120175] Loss_D: -0.019152 Loss_G: -0.015040 Loss_D_real: 0.007581 Loss_D_fake 0.026733
[1165/5000][340/535][120176] Loss_D: -0.019805 Loss_G: 0.000433 Loss_D_real: -0.014144 Loss_D_fake 0.005661
[1165/5000][345/535][120177] Loss_D: -0.020277 Loss_G: 0.014053 Loss_D_real: -0.015231 Loss_D_fake 0.005046
[1165/5000][350/535][120178] Loss_D: -0.020091 Loss_G: 0.007849 Loss_D_real: -0.015508 Loss_D_fake 0.004584
[1165/5000][355/535][120179] Loss_D: -0.021531 Loss_G: 0.004732 Loss_D_real: -0.004983 Loss_D_fake 0.016548
[1165/5000][360/535][120180] Loss_D: -0.020503 Loss_G: 0.012346 Loss_D_real: -0.011390 Loss_D_fake 0.009113
[1165/5000][365/535][120181] Loss_D: -0.021580 Loss_G: 0.009817 Loss_D_real: -0.010231 Loss_D_fake 0.011349
[1165/5000][370/535][120182] Loss_D: -0.020441 Loss_G: 0.009368 Loss_D_real: -0.029195 Loss_D_fake -0.008753
[1165/5000][375/535][120183] Loss_D: -0.021278 Loss_G: 0.009702 Loss_D_real: -0.020502 Loss_D_fake 0.000776
[1165/5000][380/535][120184] Loss_D: -0.021663 Loss_G: 0.020350 Loss_D_real: -0.028972 Loss_D_fake -0.007309
[1165/5000][385/535][120185] Loss_D: -0.022140 Loss_G: -0.000312 Loss_D_real: -0.008135 Loss_D_fake 0.014005
[1165/5000][390/535][120186] Loss_D: -0.020849 Loss_G: 0.021422 Loss_D_real: -0.033335 Loss_D_fake -0.012486
[1165/5000][395/535][120187] Loss_D: -0.020729 Loss_G: -0.020186 Loss_D_real: -0.003506 Loss_D_fake 0.017223
[1165/5000][400/535][120188] Loss_D: -0.020907 Loss_G: 0.001294 Loss_D_real: -0.002131 Loss_D_fake 0.018776
[1165/5000][405/535][120189] Loss_D: -0.021162 Loss_G: 0.001168 Loss_D_real: -0.009657 Loss_D_fake 0.011504
[1165/5000][410/535][120190] Loss_D: -0.018064 Loss_G: -0.015387 Loss_D_real: 0.011938 Loss_D_fake 0.030002
[1165/5000][415/535][120191] Loss_D: -0.021345 Loss_G: 0.007138 Loss_D_real: -0.025932 Loss_D_fake -0.004587
[1165/5000][420/535][120192] Loss_D: -0.021187 Loss_G: 0.025189 Loss_D_real: -0.026752 Loss_D_fake -0.005565
[1165/5000][425/535][120193] Loss_D: -0.022482 Loss_G: 0.009806 Loss_D_real: -0.011198 Loss_D_fake 0.011284
[1165/5000][430/535][120194] Loss_D: -0.021158 Loss_G: 0.009504 Loss_D_real: -0.030464 Loss_D_fake -0.009306
[1165/5000][435/535][120195] Loss_D: -0.022901 Loss_G: -0.008095 Loss_D_real: -0.011078 Loss_D_fake 0.011823
[1165/5000][440/535][120196] Loss_D: -0.020900 Loss_G: 0.010230 Loss_D_real: -0.029075 Loss_D_fake -0.008175
[1165/5000][445/535][120197] Loss_D: -0.020653 Loss_G: -0.003190 Loss_D_real: -0.010433 Loss_D_fake 0.010220
[1165/5000][450/535][120198] Loss_D: -0.020183 Loss_G: 0.009698 Loss_D_real: -0.019921 Loss_D_fake 0.000263
[1165/5000][455/535][120199] Loss_D: -0.020608 Loss_G: 0.001550 Loss_D_real: -0.020131 Loss_D_fake 0.000476
[1165/5000][460/535][120200] Loss_D: -0.020314 Loss_G: 0.017352 Loss_D_real: -0.029357 Loss_D_fake -0.009043
[1165/5000][465/535][120201] Loss_D: -0.020744 Loss_G: 0.008489 Loss_D_real: -0.021043 Loss_D_fake -0.000298
[1165/5000][470/535][120202] Loss_D: -0.020677 Loss_G: 0.000778 Loss_D_real: -0.015715 Loss_D_fake 0.004962
[1165/5000][475/535][120203] Loss_D: -0.020451 Loss_G: 0.026880 Loss_D_real: -0.025577 Loss_D_fake -0.005126
[1165/5000][480/535][120204] Loss_D: -0.021138 Loss_G: 0.005610 Loss_D_real: -0.025146 Loss_D_fake -0.004008
[1165/5000][485/535][120205] Loss_D: -0.020835 Loss_G: -0.002422 Loss_D_real: -0.013710 Loss_D_fake 0.007125
[1165/5000][490/535][120206] Loss_D: -0.019518 Loss_G: 0.014160 Loss_D_real: -0.013155 Loss_D_fake 0.006363
[1165/5000][495/535][120207] Loss_D: -0.020810 Loss_G: 0.002415 Loss_D_real: -0.010932 Loss_D_fake 0.009878
[1165/5000][500/535][120208] Loss_D: -0.021204 Loss_G: 0.011887 Loss_D_real: -0.026803 Loss_D_fake -0.005599
[1165/5000][505/535][120209] Loss_D: -0.019407 Loss_G: -0.001026 Loss_D_real: -0.014661 Loss_D_fake 0.004746
[1165/5000][510/535][120210] Loss_D: -0.022637 Loss_G: 0.015633 Loss_D_real: -0.022462 Loss_D_fake 0.000176
[1165/5000][515/535][120211] Loss_D: -0.021100 Loss_G: 0.021409 Loss_D_real: -0.022934 Loss_D_fake -0.001834
[1165/5000][520/535][120212] Loss_D: -0.020549 Loss_G: 0.016328 Loss_D_real: -0.026352 Loss_D_fake -0.005803
[1165/5000][525/535][120213] Loss_D: -0.018714 Loss_G: 0.020548 Loss_D_real: -0.024505 Loss_D_fake -0.005790
[1165/5000][530/535][120214] Loss_D: -0.020086 Loss_G: 0.002050 Loss_D_real: -0.022864 Loss_D_fake -0.002778
[1165/5000][535/535][120215] Loss_D: -0.021276 Loss_G: -0.001814 Loss_D_real: -0.021469 Loss_D_fake -0.000193
[1166/5000][5/535][120216] Loss_D: -0.022222 Loss_G: 0.013370 Loss_D_real: -0.025842 Loss_D_fake -0.003620
[1166/5000][10/535][120217] Loss_D: -0.020598 Loss_G: 0.007462 Loss_D_real: -0.014132 Loss_D_fake 0.006466
[1166/5000][15/535][120218] Loss_D: -0.021245 Loss_G: 0.011866 Loss_D_real: -0.020825 Loss_D_fake 0.000420
[1166/5000][20/535][120219] Loss_D: -0.021441 Loss_G: -0.005673 Loss_D_real: -0.008666 Loss_D_fake 0.012775
[1166/5000][25/535][120220] Loss_D: -0.021211 Loss_G: 0.009037 Loss_D_real: -0.018143 Loss_D_fake 0.003068
[1166/5000][30/535][120221] Loss_D: -0.020353 Loss_G: -0.008499 Loss_D_real: -0.008319 Loss_D_fake 0.012034
[1166/5000][35/535][120222] Loss_D: -0.021546 Loss_G: 0.010280 Loss_D_real: -0.020677 Loss_D_fake 0.000869
[1166/5000][40/535][120223] Loss_D: -0.023076 Loss_G: 0.003204 Loss_D_real: -0.015498 Loss_D_fake 0.007578
[1166/5000][45/535][120224] Loss_D: -0.020827 Loss_G: 0.001144 Loss_D_real: -0.029193 Loss_D_fake -0.008367
[1166/5000][50/535][120225] Loss_D: -0.022693 Loss_G: -0.000156 Loss_D_real: -0.015462 Loss_D_fake 0.007231
[1166/5000][55/535][120226] Loss_D: -0.020852 Loss_G: -0.000095 Loss_D_real: -0.014293 Loss_D_fake 0.006559
[1166/5000][60/535][120227] Loss_D: -0.020871 Loss_G: 0.010724 Loss_D_real: -0.022647 Loss_D_fake -0.001776
[1166/5000][65/535][120228] Loss_D: -0.021151 Loss_G: -0.004969 Loss_D_real: -0.002102 Loss_D_fake 0.019049
[1166/5000][70/535][120229] Loss_D: -0.021030 Loss_G: 0.004699 Loss_D_real: -0.004545 Loss_D_fake 0.016485
[1166/5000][75/535][120230] Loss_D: -0.020414 Loss_G: 0.000786 Loss_D_real: -0.016142 Loss_D_fake 0.004272
[1166/5000][80/535][120231] Loss_D: -0.021474 Loss_G: 0.003458 Loss_D_real: -0.023656 Loss_D_fake -0.002182
[1166/5000][85/535][120232] Loss_D: -0.020199 Loss_G: 0.013874 Loss_D_real: -0.028478 Loss_D_fake -0.008280
[1166/5000][90/535][120233] Loss_D: -0.021911 Loss_G: 0.002592 Loss_D_real: -0.025692 Loss_D_fake -0.003780
[1166/5000][95/535][120234] Loss_D: -0.019545 Loss_G: 0.003774 Loss_D_real: -0.012184 Loss_D_fake 0.007360
[1166/5000][100/535][120235] Loss_D: -0.021421 Loss_G: 0.005938 Loss_D_real: -0.008839 Loss_D_fake 0.012582
[1166/5000][105/535][120236] Loss_D: -0.018506 Loss_G: -0.021196 Loss_D_real: 0.006764 Loss_D_fake 0.025270
[1166/5000][110/535][120237] Loss_D: -0.020784 Loss_G: 0.011921 Loss_D_real: -0.011653 Loss_D_fake 0.009131
[1166/5000][115/535][120238] Loss_D: -0.021312 Loss_G: 0.010844 Loss_D_real: -0.018765 Loss_D_fake 0.002547
[1166/5000][120/535][120239] Loss_D: -0.021307 Loss_G: 0.002485 Loss_D_real: -0.015719 Loss_D_fake 0.005588
[1166/5000][125/535][120240] Loss_D: -0.020457 Loss_G: -0.005815 Loss_D_real: -0.010725 Loss_D_fake 0.009731
[1166/5000][130/535][120241] Loss_D: -0.020678 Loss_G: -0.006973 Loss_D_real: -0.022719 Loss_D_fake -0.002042
[1166/5000][135/535][120242] Loss_D: -0.019042 Loss_G: -0.010433 Loss_D_real: -0.019878 Loss_D_fake -0.000836
[1166/5000][140/535][120243] Loss_D: -0.020234 Loss_G: 0.023173 Loss_D_real: -0.022222 Loss_D_fake -0.001988
[1166/5000][145/535][120244] Loss_D: -0.021925 Loss_G: 0.007900 Loss_D_real: -0.010969 Loss_D_fake 0.010956
[1166/5000][150/535][120245] Loss_D: -0.020641 Loss_G: 0.002790 Loss_D_real: -0.001046 Loss_D_fake 0.019595
[1166/5000][155/535][120246] Loss_D: -0.020627 Loss_G: 0.010114 Loss_D_real: -0.021555 Loss_D_fake -0.000928
[1166/5000][160/535][120247] Loss_D: -0.020238 Loss_G: 0.032469 Loss_D_real: -0.037301 Loss_D_fake -0.017064
[1166/5000][165/535][120248] Loss_D: -0.019633 Loss_G: 0.000600 Loss_D_real: 0.005362 Loss_D_fake 0.024995
[1166/5000][170/535][120249] Loss_D: -0.020749 Loss_G: 0.013236 Loss_D_real: -0.025133 Loss_D_fake -0.004384
[1166/5000][175/535][120250] Loss_D: -0.023356 Loss_G: -0.001220 Loss_D_real: -0.019045 Loss_D_fake 0.004311
[1166/5000][180/535][120251] Loss_D: -0.022218 Loss_G: -0.000068 Loss_D_real: -0.013340 Loss_D_fake 0.008878
[1166/5000][185/535][120252] Loss_D: -0.020761 Loss_G: 0.007606 Loss_D_real: -0.006375 Loss_D_fake 0.014386
[1166/5000][190/535][120253] Loss_D: -0.021137 Loss_G: 0.006466 Loss_D_real: -0.016721 Loss_D_fake 0.004416
[1166/5000][195/535][120254] Loss_D: -0.018943 Loss_G: 0.024553 Loss_D_real: -0.038230 Loss_D_fake -0.019287
[1166/5000][200/535][120255] Loss_D: -0.021835 Loss_G: -0.001579 Loss_D_real: -0.026649 Loss_D_fake -0.004814
[1166/5000][205/535][120256] Loss_D: -0.020091 Loss_G: -0.008080 Loss_D_real: -0.020412 Loss_D_fake -0.000321
[1166/5000][210/535][120257] Loss_D: -0.020352 Loss_G: 0.016895 Loss_D_real: -0.020316 Loss_D_fake 0.000037
[1166/5000][215/535][120258] Loss_D: -0.020229 Loss_G: 0.021514 Loss_D_real: -0.025409 Loss_D_fake -0.005180
[1166/5000][220/535][120259] Loss_D: -0.021565 Loss_G: -0.000106 Loss_D_real: -0.009862 Loss_D_fake 0.011703
[1166/5000][225/535][120260] Loss_D: -0.020376 Loss_G: 0.004184 Loss_D_real: -0.026720 Loss_D_fake -0.006345
[1166/5000][230/535][120261] Loss_D: -0.021398 Loss_G: 0.000134 Loss_D_real: -0.010623 Loss_D_fake 0.010774
[1166/5000][235/535][120262] Loss_D: -0.019960 Loss_G: 0.026423 Loss_D_real: -0.030971 Loss_D_fake -0.011011
[1166/5000][240/535][120263] Loss_D: -0.020751 Loss_G: 0.001525 Loss_D_real: -0.017803 Loss_D_fake 0.002948
[1166/5000][245/535][120264] Loss_D: -0.021520 Loss_G: 0.008159 Loss_D_real: -0.017170 Loss_D_fake 0.004350
[1166/5000][250/535][120265] Loss_D: -0.022395 Loss_G: 0.013761 Loss_D_real: -0.007196 Loss_D_fake 0.015199
[1166/5000][255/535][120266] Loss_D: -0.022132 Loss_G: -0.003270 Loss_D_real: -0.015924 Loss_D_fake 0.006208
[1166/5000][260/535][120267] Loss_D: -0.020492 Loss_G: 0.018727 Loss_D_real: -0.030954 Loss_D_fake -0.010462
[1166/5000][265/535][120268] Loss_D: -0.022410 Loss_G: 0.001259 Loss_D_real: -0.027794 Loss_D_fake -0.005384
[1166/5000][270/535][120269] Loss_D: -0.021068 Loss_G: 0.018489 Loss_D_real: -0.010082 Loss_D_fake 0.010986
[1166/5000][275/535][120270] Loss_D: -0.022124 Loss_G: 0.003924 Loss_D_real: -0.016928 Loss_D_fake 0.005195
[1166/5000][280/535][120271] Loss_D: -0.020513 Loss_G: 0.026563 Loss_D_real: -0.019087 Loss_D_fake 0.001426
[1166/5000][285/535][120272] Loss_D: -0.021138 Loss_G: 0.010533 Loss_D_real: -0.016729 Loss_D_fake 0.004409
[1166/5000][290/535][120273] Loss_D: -0.019298 Loss_G: -0.008839 Loss_D_real: -0.005350 Loss_D_fake 0.013948
[1166/5000][295/535][120274] Loss_D: -0.021478 Loss_G: 0.009462 Loss_D_real: -0.024103 Loss_D_fake -0.002624
[1166/5000][300/535][120275] Loss_D: -0.020600 Loss_G: 0.002557 Loss_D_real: -0.015511 Loss_D_fake 0.005089
[1166/5000][305/535][120276] Loss_D: -0.020834 Loss_G: -0.000874 Loss_D_real: -0.016206 Loss_D_fake 0.004628
[1166/5000][310/535][120277] Loss_D: -0.021457 Loss_G: 0.001045 Loss_D_real: -0.022192 Loss_D_fake -0.000735
[1166/5000][315/535][120278] Loss_D: -0.019399 Loss_G: -0.015051 Loss_D_real: -0.004673 Loss_D_fake 0.014726
[1166/5000][320/535][120279] Loss_D: -0.021184 Loss_G: 0.012990 Loss_D_real: -0.022320 Loss_D_fake -0.001135
[1166/5000][325/535][120280] Loss_D: -0.022491 Loss_G: 0.021986 Loss_D_real: -0.016740 Loss_D_fake 0.005750
[1166/5000][330/535][120281] Loss_D: -0.020905 Loss_G: -0.007611 Loss_D_real: -0.013205 Loss_D_fake 0.007700
[1166/5000][335/535][120282] Loss_D: -0.021003 Loss_G: 0.012387 Loss_D_real: -0.033692 Loss_D_fake -0.012689
[1166/5000][340/535][120283] Loss_D: -0.021148 Loss_G: -0.006577 Loss_D_real: -0.008477 Loss_D_fake 0.012670
[1166/5000][345/535][120284] Loss_D: -0.020415 Loss_G: -0.011365 Loss_D_real: 0.000446 Loss_D_fake 0.020861
[1166/5000][350/535][120285] Loss_D: -0.020341 Loss_G: 0.021891 Loss_D_real: -0.036007 Loss_D_fake -0.015667
[1166/5000][355/535][120286] Loss_D: -0.020571 Loss_G: 0.016635 Loss_D_real: -0.031898 Loss_D_fake -0.011327
[1166/5000][360/535][120287] Loss_D: -0.020512 Loss_G: 0.001360 Loss_D_real: -0.008371 Loss_D_fake 0.012141
[1166/5000][365/535][120288] Loss_D: -0.020386 Loss_G: 0.009658 Loss_D_real: -0.029457 Loss_D_fake -0.009071
[1166/5000][370/535][120289] Loss_D: -0.020481 Loss_G: 0.018973 Loss_D_real: -0.025996 Loss_D_fake -0.005515
[1166/5000][375/535][120290] Loss_D: -0.021714 Loss_G: 0.017742 Loss_D_real: -0.015437 Loss_D_fake 0.006278
[1166/5000][380/535][120291] Loss_D: -0.020344 Loss_G: 0.022050 Loss_D_real: -0.024802 Loss_D_fake -0.004458
[1166/5000][385/535][120292] Loss_D: -0.019916 Loss_G: -0.002108 Loss_D_real: -0.005589 Loss_D_fake 0.014328
[1166/5000][390/535][120293] Loss_D: -0.020262 Loss_G: 0.001011 Loss_D_real: -0.014287 Loss_D_fake 0.005975
[1166/5000][395/535][120294] Loss_D: -0.020564 Loss_G: 0.015763 Loss_D_real: -0.019188 Loss_D_fake 0.001376
[1166/5000][400/535][120295] Loss_D: -0.021420 Loss_G: -0.004372 Loss_D_real: -0.010340 Loss_D_fake 0.011079
[1166/5000][405/535][120296] Loss_D: -0.020280 Loss_G: -0.005256 Loss_D_real: -0.021961 Loss_D_fake -0.001681
[1166/5000][410/535][120297] Loss_D: -0.022120 Loss_G: 0.019922 Loss_D_real: -0.011320 Loss_D_fake 0.010801
[1166/5000][415/535][120298] Loss_D: -0.019776 Loss_G: 0.002929 Loss_D_real: -0.010388 Loss_D_fake 0.009389
[1166/5000][420/535][120299] Loss_D: -0.021534 Loss_G: -0.007178 Loss_D_real: -0.015310 Loss_D_fake 0.006224
[1166/5000][425/535][120300] Loss_D: -0.020088 Loss_G: 0.015923 Loss_D_real: -0.032223 Loss_D_fake -0.012134
[1166/5000][430/535][120301] Loss_D: -0.019770 Loss_G: -0.014603 Loss_D_real: 0.006075 Loss_D_fake 0.025845
[1166/5000][435/535][120302] Loss_D: -0.021007 Loss_G: 0.005699 Loss_D_real: -0.010608 Loss_D_fake 0.010399
[1166/5000][440/535][120303] Loss_D: -0.019399 Loss_G: 0.020276 Loss_D_real: -0.034885 Loss_D_fake -0.015485
[1166/5000][445/535][120304] Loss_D: -0.020927 Loss_G: -0.001086 Loss_D_real: -0.018692 Loss_D_fake 0.002235
[1166/5000][450/535][120305] Loss_D: -0.021148 Loss_G: 0.029192 Loss_D_real: -0.030152 Loss_D_fake -0.009004
[1166/5000][455/535][120306] Loss_D: -0.021833 Loss_G: 0.007234 Loss_D_real: -0.022910 Loss_D_fake -0.001077
[1166/5000][460/535][120307] Loss_D: -0.021079 Loss_G: 0.015711 Loss_D_real: -0.013980 Loss_D_fake 0.007098
[1166/5000][465/535][120308] Loss_D: -0.020588 Loss_G: 0.001088 Loss_D_real: -0.015034 Loss_D_fake 0.005554
[1166/5000][470/535][120309] Loss_D: -0.019952 Loss_G: 0.018073 Loss_D_real: -0.014852 Loss_D_fake 0.005100
[1166/5000][475/535][120310] Loss_D: -0.020999 Loss_G: -0.000041 Loss_D_real: -0.014779 Loss_D_fake 0.006221
[1166/5000][480/535][120311] Loss_D: -0.020089 Loss_G: 0.019021 Loss_D_real: -0.033776 Loss_D_fake -0.013687
[1166/5000][485/535][120312] Loss_D: -0.020579 Loss_G: 0.008752 Loss_D_real: -0.023770 Loss_D_fake -0.003191
[1166/5000][490/535][120313] Loss_D: -0.020291 Loss_G: 0.021598 Loss_D_real: -0.030766 Loss_D_fake -0.010475
[1166/5000][495/535][120314] Loss_D: -0.020772 Loss_G: 0.008604 Loss_D_real: -0.010656 Loss_D_fake 0.010116
[1166/5000][500/535][120315] Loss_D: -0.020593 Loss_G: 0.015383 Loss_D_real: -0.022571 Loss_D_fake -0.001977
[1166/5000][505/535][120316] Loss_D: -0.022011 Loss_G: 0.005995 Loss_D_real: -0.009540 Loss_D_fake 0.012471
[1166/5000][510/535][120317] Loss_D: -0.019540 Loss_G: 0.003225 Loss_D_real: -0.026449 Loss_D_fake -0.006909
[1166/5000][515/535][120318] Loss_D: -0.020231 Loss_G: 0.022908 Loss_D_real: -0.025682 Loss_D_fake -0.005450
[1166/5000][520/535][120319] Loss_D: -0.020259 Loss_G: -0.010213 Loss_D_real: -0.009930 Loss_D_fake 0.010328
[1166/5000][525/535][120320] Loss_D: -0.019229 Loss_G: 0.024024 Loss_D_real: -0.037470 Loss_D_fake -0.018241
[1166/5000][530/535][120321] Loss_D: -0.021736 Loss_G: 0.003768 Loss_D_real: -0.011042 Loss_D_fake 0.010694
[1166/5000][535/535][120322] Loss_D: -0.018835 Loss_G: 0.012782 Loss_D_real: -0.033497 Loss_D_fake -0.014662
[1167/5000][5/535][120323] Loss_D: -0.020806 Loss_G: 0.020867 Loss_D_real: -0.024760 Loss_D_fake -0.003954
[1167/5000][10/535][120324] Loss_D: -0.019582 Loss_G: 0.009349 Loss_D_real: -0.014961 Loss_D_fake 0.004621
[1167/5000][15/535][120325] Loss_D: -0.019968 Loss_G: -0.008637 Loss_D_real: -0.008525 Loss_D_fake 0.011443
[1167/5000][20/535][120326] Loss_D: -0.021149 Loss_G: 0.000828 Loss_D_real: -0.012451 Loss_D_fake 0.008698
[1167/5000][25/535][120327] Loss_D: -0.021295 Loss_G: -0.006588 Loss_D_real: -0.013391 Loss_D_fake 0.007905
[1167/5000][30/535][120328] Loss_D: -0.019140 Loss_G: -0.009633 Loss_D_real: 0.003448 Loss_D_fake 0.022587
[1167/5000][35/535][120329] Loss_D: -0.020541 Loss_G: -0.007853 Loss_D_real: -0.013087 Loss_D_fake 0.007454
[1167/5000][40/535][120330] Loss_D: -0.020941 Loss_G: 0.007894 Loss_D_real: -0.001403 Loss_D_fake 0.019538
[1167/5000][45/535][120331] Loss_D: -0.021268 Loss_G: 0.004334 Loss_D_real: -0.022096 Loss_D_fake -0.000828
[1167/5000][50/535][120332] Loss_D: -0.019945 Loss_G: -0.008410 Loss_D_real: 0.000256 Loss_D_fake 0.020202
[1167/5000][55/535][120333] Loss_D: -0.020143 Loss_G: 0.016982 Loss_D_real: -0.021202 Loss_D_fake -0.001059
[1167/5000][60/535][120334] Loss_D: -0.021936 Loss_G: 0.006473 Loss_D_real: -0.018220 Loss_D_fake 0.003716
[1167/5000][65/535][120335] Loss_D: -0.021198 Loss_G: -0.000504 Loss_D_real: -0.023844 Loss_D_fake -0.002646
[1167/5000][70/535][120336] Loss_D: -0.021717 Loss_G: 0.010794 Loss_D_real: -0.025737 Loss_D_fake -0.004020
[1167/5000][75/535][120337] Loss_D: -0.021668 Loss_G: 0.004888 Loss_D_real: -0.008530 Loss_D_fake 0.013138
[1167/5000][80/535][120338] Loss_D: -0.021219 Loss_G: 0.024793 Loss_D_real: -0.035114 Loss_D_fake -0.013896
[1167/5000][85/535][120339] Loss_D: -0.021516 Loss_G: 0.011382 Loss_D_real: -0.019810 Loss_D_fake 0.001706
[1167/5000][90/535][120340] Loss_D: -0.021296 Loss_G: 0.004845 Loss_D_real: -0.019924 Loss_D_fake 0.001372
[1167/5000][95/535][120341] Loss_D: -0.019118 Loss_G: 0.026735 Loss_D_real: -0.036819 Loss_D_fake -0.017700
[1167/5000][100/535][120342] Loss_D: -0.021648 Loss_G: -0.020056 Loss_D_real: -0.012625 Loss_D_fake 0.009023
[1167/5000][105/535][120343] Loss_D: -0.019291 Loss_G: -0.007614 Loss_D_real: 0.004498 Loss_D_fake 0.023789
[1167/5000][110/535][120344] Loss_D: -0.020267 Loss_G: 0.010576 Loss_D_real: -0.026116 Loss_D_fake -0.005849
[1167/5000][115/535][120345] Loss_D: -0.020229 Loss_G: -0.006289 Loss_D_real: -0.016332 Loss_D_fake 0.003897
[1167/5000][120/535][120346] Loss_D: -0.021162 Loss_G: 0.021011 Loss_D_real: -0.023902 Loss_D_fake -0.002740
[1167/5000][125/535][120347] Loss_D: -0.021309 Loss_G: 0.006179 Loss_D_real: -0.005143 Loss_D_fake 0.016166
[1167/5000][130/535][120348] Loss_D: -0.019777 Loss_G: 0.013019 Loss_D_real: -0.024930 Loss_D_fake -0.005153
[1167/5000][135/535][120349] Loss_D: -0.021128 Loss_G: 0.005074 Loss_D_real: -0.012426 Loss_D_fake 0.008703
[1167/5000][140/535][120350] Loss_D: -0.020714 Loss_G: 0.001369 Loss_D_real: -0.008054 Loss_D_fake 0.012660
[1167/5000][145/535][120351] Loss_D: -0.019935 Loss_G: 0.003979 Loss_D_real: -0.015338 Loss_D_fake 0.004597
[1167/5000][150/535][120352] Loss_D: -0.019883 Loss_G: 0.022087 Loss_D_real: -0.027786 Loss_D_fake -0.007903
[1167/5000][155/535][120353] Loss_D: -0.020985 Loss_G: 0.010565 Loss_D_real: -0.022539 Loss_D_fake -0.001554
[1167/5000][160/535][120354] Loss_D: -0.020294 Loss_G: 0.001397 Loss_D_real: -0.021502 Loss_D_fake -0.001209
[1167/5000][165/535][120355] Loss_D: -0.020193 Loss_G: 0.021896 Loss_D_real: -0.021058 Loss_D_fake -0.000865
[1167/5000][170/535][120356] Loss_D: -0.020298 Loss_G: 0.004475 Loss_D_real: -0.007448 Loss_D_fake 0.012850
[1167/5000][175/535][120357] Loss_D: -0.021212 Loss_G: -0.003772 Loss_D_real: -0.016209 Loss_D_fake 0.005004
[1167/5000][180/535][120358] Loss_D: -0.021723 Loss_G: 0.012507 Loss_D_real: -0.026089 Loss_D_fake -0.004366
[1167/5000][185/535][120359] Loss_D: -0.020702 Loss_G: 0.017208 Loss_D_real: -0.008776 Loss_D_fake 0.011927
[1167/5000][190/535][120360] Loss_D: -0.021063 Loss_G: -0.008459 Loss_D_real: -0.009418 Loss_D_fake 0.011645
[1167/5000][195/535][120361] Loss_D: -0.021131 Loss_G: 0.000254 Loss_D_real: 0.001359 Loss_D_fake 0.022490
[1167/5000][200/535][120362] Loss_D: -0.020904 Loss_G: 0.015647 Loss_D_real: -0.033896 Loss_D_fake -0.012992
[1167/5000][205/535][120363] Loss_D: -0.021281 Loss_G: 0.014334 Loss_D_real: -0.015524 Loss_D_fake 0.005756
[1167/5000][210/535][120364] Loss_D: -0.022366 Loss_G: 0.012085 Loss_D_real: -0.024793 Loss_D_fake -0.002427
[1167/5000][215/535][120365] Loss_D: -0.022788 Loss_G: -0.000386 Loss_D_real: -0.018155 Loss_D_fake 0.004633
[1167/5000][220/535][120366] Loss_D: -0.019584 Loss_G: 0.025664 Loss_D_real: -0.036387 Loss_D_fake -0.016803
[1167/5000][225/535][120367] Loss_D: -0.021493 Loss_G: 0.007242 Loss_D_real: -0.019173 Loss_D_fake 0.002321
[1167/5000][230/535][120368] Loss_D: -0.021801 Loss_G: 0.004925 Loss_D_real: -0.019116 Loss_D_fake 0.002685
[1167/5000][235/535][120369] Loss_D: -0.020697 Loss_G: -0.002043 Loss_D_real: -0.003803 Loss_D_fake 0.016894
[1167/5000][240/535][120370] Loss_D: -0.021215 Loss_G: 0.007354 Loss_D_real: -0.012840 Loss_D_fake 0.008375
[1167/5000][245/535][120371] Loss_D: -0.021107 Loss_G: 0.009479 Loss_D_real: -0.016432 Loss_D_fake 0.004675
[1167/5000][250/535][120372] Loss_D: -0.021010 Loss_G: 0.013637 Loss_D_real: -0.020928 Loss_D_fake 0.000082
[1167/5000][255/535][120373] Loss_D: -0.020110 Loss_G: 0.009657 Loss_D_real: -0.025144 Loss_D_fake -0.005033
[1167/5000][260/535][120374] Loss_D: -0.021508 Loss_G: 0.003289 Loss_D_real: -0.008348 Loss_D_fake 0.013160
[1167/5000][265/535][120375] Loss_D: -0.021933 Loss_G: 0.007407 Loss_D_real: -0.031571 Loss_D_fake -0.009638
[1167/5000][270/535][120376] Loss_D: -0.021007 Loss_G: 0.011419 Loss_D_real: -0.022210 Loss_D_fake -0.001204
[1167/5000][275/535][120377] Loss_D: -0.021386 Loss_G: 0.012563 Loss_D_real: -0.028035 Loss_D_fake -0.006650
[1167/5000][280/535][120378] Loss_D: -0.021217 Loss_G: 0.001782 Loss_D_real: -0.014146 Loss_D_fake 0.007071
[1167/5000][285/535][120379] Loss_D: -0.019770 Loss_G: -0.011073 Loss_D_real: -0.014311 Loss_D_fake 0.005458
[1167/5000][290/535][120380] Loss_D: -0.019431 Loss_G: 0.022458 Loss_D_real: -0.028925 Loss_D_fake -0.009494
[1167/5000][295/535][120381] Loss_D: -0.019895 Loss_G: 0.011063 Loss_D_real: -0.014898 Loss_D_fake 0.004997
[1167/5000][300/535][120382] Loss_D: -0.020639 Loss_G: 0.014291 Loss_D_real: -0.025210 Loss_D_fake -0.004571
[1167/5000][305/535][120383] Loss_D: -0.020501 Loss_G: 0.011875 Loss_D_real: -0.024126 Loss_D_fake -0.003625
[1167/5000][310/535][120384] Loss_D: -0.021085 Loss_G: 0.000322 Loss_D_real: -0.020094 Loss_D_fake 0.000991
[1167/5000][315/535][120385] Loss_D: -0.019914 Loss_G: 0.002182 Loss_D_real: -0.016839 Loss_D_fake 0.003076
[1167/5000][320/535][120386] Loss_D: -0.021237 Loss_G: 0.010117 Loss_D_real: -0.010397 Loss_D_fake 0.010841
[1167/5000][325/535][120387] Loss_D: -0.021867 Loss_G: -0.001559 Loss_D_real: -0.003387 Loss_D_fake 0.018480
[1167/5000][330/535][120388] Loss_D: -0.019921 Loss_G: 0.018662 Loss_D_real: -0.030439 Loss_D_fake -0.010517
[1167/5000][335/535][120389] Loss_D: -0.020356 Loss_G: 0.001841 Loss_D_real: -0.019388 Loss_D_fake 0.000968
[1167/5000][340/535][120390] Loss_D: -0.020937 Loss_G: 0.017975 Loss_D_real: -0.028929 Loss_D_fake -0.007992
[1167/5000][345/535][120391] Loss_D: -0.022323 Loss_G: -0.001539 Loss_D_real: -0.021316 Loss_D_fake 0.001008
[1167/5000][350/535][120392] Loss_D: -0.022146 Loss_G: 0.004832 Loss_D_real: -0.011614 Loss_D_fake 0.010532
[1167/5000][355/535][120393] Loss_D: -0.022600 Loss_G: -0.000946 Loss_D_real: -0.016311 Loss_D_fake 0.006289
[1167/5000][360/535][120394] Loss_D: -0.019990 Loss_G: 0.018529 Loss_D_real: -0.024045 Loss_D_fake -0.004055
[1167/5000][365/535][120395] Loss_D: -0.019793 Loss_G: 0.020753 Loss_D_real: -0.017595 Loss_D_fake 0.002198
[1167/5000][370/535][120396] Loss_D: -0.022518 Loss_G: 0.007476 Loss_D_real: -0.016924 Loss_D_fake 0.005594
[1167/5000][375/535][120397] Loss_D: -0.020617 Loss_G: 0.031358 Loss_D_real: -0.032362 Loss_D_fake -0.011745
[1167/5000][380/535][120398] Loss_D: -0.020198 Loss_G: 0.020295 Loss_D_real: -0.025981 Loss_D_fake -0.005783
[1167/5000][385/535][120399] Loss_D: -0.021368 Loss_G: -0.007637 Loss_D_real: -0.020526 Loss_D_fake 0.000842
[1167/5000][390/535][120400] Loss_D: -0.020124 Loss_G: 0.013763 Loss_D_real: -0.029991 Loss_D_fake -0.009868
[1167/5000][395/535][120401] Loss_D: -0.020933 Loss_G: 0.005077 Loss_D_real: -0.014609 Loss_D_fake 0.006325
[1167/5000][400/535][120402] Loss_D: -0.021998 Loss_G: 0.012605 Loss_D_real: -0.014129 Loss_D_fake 0.007869
[1167/5000][405/535][120403] Loss_D: -0.019696 Loss_G: 0.021182 Loss_D_real: -0.029953 Loss_D_fake -0.010257
[1167/5000][410/535][120404] Loss_D: -0.021104 Loss_G: 0.001501 Loss_D_real: -0.016890 Loss_D_fake 0.004214
[1167/5000][415/535][120405] Loss_D: -0.020699 Loss_G: 0.012764 Loss_D_real: -0.019482 Loss_D_fake 0.001218
[1167/5000][420/535][120406] Loss_D: -0.021543 Loss_G: 0.014542 Loss_D_real: -0.022304 Loss_D_fake -0.000761
[1167/5000][425/535][120407] Loss_D: -0.021578 Loss_G: 0.014301 Loss_D_real: -0.015447 Loss_D_fake 0.006132
[1167/5000][430/535][120408] Loss_D: -0.021632 Loss_G: 0.003815 Loss_D_real: -0.025255 Loss_D_fake -0.003624
[1167/5000][435/535][120409] Loss_D: -0.021663 Loss_G: -0.002543 Loss_D_real: -0.012323 Loss_D_fake 0.009340
[1167/5000][440/535][120410] Loss_D: -0.019887 Loss_G: 0.006403 Loss_D_real: -0.014706 Loss_D_fake 0.005181
[1167/5000][445/535][120411] Loss_D: -0.021632 Loss_G: 0.017837 Loss_D_real: -0.022490 Loss_D_fake -0.000859
[1167/5000][450/535][120412] Loss_D: -0.020492 Loss_G: 0.016781 Loss_D_real: -0.017844 Loss_D_fake 0.002648
[1167/5000][455/535][120413] Loss_D: -0.020226 Loss_G: -0.019693 Loss_D_real: -0.007456 Loss_D_fake 0.012770
[1167/5000][460/535][120414] Loss_D: -0.019308 Loss_G: -0.020789 Loss_D_real: -0.000810 Loss_D_fake 0.018498
[1167/5000][465/535][120415] Loss_D: -0.021178 Loss_G: 0.001711 Loss_D_real: -0.016373 Loss_D_fake 0.004805
[1167/5000][470/535][120416] Loss_D: -0.020594 Loss_G: 0.008210 Loss_D_real: -0.019543 Loss_D_fake 0.001051
[1167/5000][475/535][120417] Loss_D: -0.018714 Loss_G: 0.009995 Loss_D_real: -0.017868 Loss_D_fake 0.000846
[1167/5000][480/535][120418] Loss_D: -0.020264 Loss_G: 0.023563 Loss_D_real: -0.028707 Loss_D_fake -0.008443
[1167/5000][485/535][120419] Loss_D: -0.021173 Loss_G: -0.006673 Loss_D_real: -0.012655 Loss_D_fake 0.008518
[1167/5000][490/535][120420] Loss_D: -0.020853 Loss_G: 0.026699 Loss_D_real: -0.027024 Loss_D_fake -0.006171
[1167/5000][495/535][120421] Loss_D: -0.021329 Loss_G: 0.007683 Loss_D_real: -0.033732 Loss_D_fake -0.012403
[1167/5000][500/535][120422] Loss_D: -0.020070 Loss_G: 0.016744 Loss_D_real: -0.032523 Loss_D_fake -0.012453
[1167/5000][505/535][120423] Loss_D: -0.020603 Loss_G: 0.012027 Loss_D_real: -0.018736 Loss_D_fake 0.001867
[1167/5000][510/535][120424] Loss_D: -0.020374 Loss_G: -0.002543 Loss_D_real: -0.006680 Loss_D_fake 0.013694
[1167/5000][515/535][120425] Loss_D: -0.020512 Loss_G: 0.004967 Loss_D_real: -0.029287 Loss_D_fake -0.008776
[1167/5000][520/535][120426] Loss_D: -0.019734 Loss_G: 0.018764 Loss_D_real: -0.031694 Loss_D_fake -0.011960
[1167/5000][525/535][120427] Loss_D: -0.021519 Loss_G: -0.006685 Loss_D_real: -0.014827 Loss_D_fake 0.006692
[1167/5000][530/535][120428] Loss_D: -0.021267 Loss_G: -0.003166 Loss_D_real: -0.020383 Loss_D_fake 0.000884
[1167/5000][535/535][120429] Loss_D: -0.021289 Loss_G: 0.034535 Loss_D_real: -0.026201 Loss_D_fake -0.004912
[1168/5000][5/535][120430] Loss_D: -0.020459 Loss_G: 0.001181 Loss_D_real: -0.017274 Loss_D_fake 0.003185
[1168/5000][10/535][120431] Loss_D: -0.021482 Loss_G: 0.005393 Loss_D_real: -0.026722 Loss_D_fake -0.005240
[1168/5000][15/535][120432] Loss_D: -0.019399 Loss_G: 0.023468 Loss_D_real: -0.018103 Loss_D_fake 0.001296
[1168/5000][20/535][120433] Loss_D: -0.021703 Loss_G: -0.010475 Loss_D_real: -0.010509 Loss_D_fake 0.011194
[1168/5000][25/535][120434] Loss_D: -0.020157 Loss_G: 0.016858 Loss_D_real: -0.018610 Loss_D_fake 0.001547
[1168/5000][30/535][120435] Loss_D: -0.021318 Loss_G: 0.011297 Loss_D_real: -0.025217 Loss_D_fake -0.003899
[1168/5000][35/535][120436] Loss_D: -0.020600 Loss_G: 0.008059 Loss_D_real: -0.014901 Loss_D_fake 0.005699
[1168/5000][40/535][120437] Loss_D: -0.020731 Loss_G: 0.013856 Loss_D_real: -0.020456 Loss_D_fake 0.000274
[1168/5000][45/535][120438] Loss_D: -0.021386 Loss_G: 0.011424 Loss_D_real: -0.006915 Loss_D_fake 0.014471
[1168/5000][50/535][120439] Loss_D: -0.020440 Loss_G: 0.018449 Loss_D_real: -0.035462 Loss_D_fake -0.015022
[1168/5000][55/535][120440] Loss_D: -0.021495 Loss_G: 0.021512 Loss_D_real: -0.024784 Loss_D_fake -0.003289
[1168/5000][60/535][120441] Loss_D: -0.021785 Loss_G: -0.005267 Loss_D_real: -0.003224 Loss_D_fake 0.018561
[1168/5000][65/535][120442] Loss_D: -0.020881 Loss_G: 0.000631 Loss_D_real: -0.020382 Loss_D_fake 0.000499
[1168/5000][70/535][120443] Loss_D: -0.019094 Loss_G: -0.004332 Loss_D_real: -0.016326 Loss_D_fake 0.002768
[1168/5000][75/535][120444] Loss_D: -0.021370 Loss_G: 0.007782 Loss_D_real: -0.018889 Loss_D_fake 0.002481
[1168/5000][80/535][120445] Loss_D: -0.020613 Loss_G: 0.011304 Loss_D_real: -0.024261 Loss_D_fake -0.003648
[1168/5000][85/535][120446] Loss_D: -0.020292 Loss_G: 0.005860 Loss_D_real: -0.023505 Loss_D_fake -0.003213
[1168/5000][90/535][120447] Loss_D: -0.022212 Loss_G: 0.010860 Loss_D_real: -0.014636 Loss_D_fake 0.007577
[1168/5000][95/535][120448] Loss_D: -0.019367 Loss_G: 0.012956 Loss_D_real: -0.020504 Loss_D_fake -0.001137
[1168/5000][100/535][120449] Loss_D: -0.021226 Loss_G: 0.004552 Loss_D_real: -0.020097 Loss_D_fake 0.001129
[1168/5000][105/535][120450] Loss_D: -0.021976 Loss_G: 0.002646 Loss_D_real: -0.004921 Loss_D_fake 0.017055
[1168/5000][110/535][120451] Loss_D: -0.020369 Loss_G: -0.011122 Loss_D_real: -0.001930 Loss_D_fake 0.018439
[1168/5000][115/535][120452] Loss_D: -0.021374 Loss_G: -0.012463 Loss_D_real: -0.005581 Loss_D_fake 0.015793
[1168/5000][120/535][120453] Loss_D: -0.022497 Loss_G: 0.013519 Loss_D_real: -0.013472 Loss_D_fake 0.009025
[1168/5000][125/535][120454] Loss_D: -0.020092 Loss_G: 0.013756 Loss_D_real: -0.028102 Loss_D_fake -0.008009
[1168/5000][130/535][120455] Loss_D: -0.019625 Loss_G: 0.015242 Loss_D_real: -0.033121 Loss_D_fake -0.013496
[1168/5000][135/535][120456] Loss_D: -0.020446 Loss_G: -0.002582 Loss_D_real: -0.008968 Loss_D_fake 0.011478
[1168/5000][140/535][120457] Loss_D: -0.020263 Loss_G: 0.012666 Loss_D_real: -0.024390 Loss_D_fake -0.004127
[1168/5000][145/535][120458] Loss_D: -0.020231 Loss_G: 0.012457 Loss_D_real: -0.021912 Loss_D_fake -0.001681
[1168/5000][150/535][120459] Loss_D: -0.020880 Loss_G: 0.023747 Loss_D_real: -0.032444 Loss_D_fake -0.011564
[1168/5000][155/535][120460] Loss_D: -0.021072 Loss_G: 0.003737 Loss_D_real: -0.015352 Loss_D_fake 0.005720
[1168/5000][160/535][120461] Loss_D: -0.021923 Loss_G: -0.003106 Loss_D_real: -0.018062 Loss_D_fake 0.003860
[1168/5000][165/535][120462] Loss_D: -0.021491 Loss_G: 0.004898 Loss_D_real: -0.022146 Loss_D_fake -0.000656
[1168/5000][170/535][120463] Loss_D: -0.021606 Loss_G: -0.014798 Loss_D_real: -0.004686 Loss_D_fake 0.016920
[1168/5000][175/535][120464] Loss_D: -0.020593 Loss_G: 0.007757 Loss_D_real: -0.023565 Loss_D_fake -0.002972
[1168/5000][180/535][120465] Loss_D: -0.022241 Loss_G: 0.007534 Loss_D_real: -0.007296 Loss_D_fake 0.014945
[1168/5000][185/535][120466] Loss_D: -0.021607 Loss_G: 0.008003 Loss_D_real: -0.024789 Loss_D_fake -0.003183
[1168/5000][190/535][120467] Loss_D: -0.021245 Loss_G: 0.027632 Loss_D_real: -0.036428 Loss_D_fake -0.015184
[1168/5000][195/535][120468] Loss_D: -0.020409 Loss_G: 0.019375 Loss_D_real: -0.031632 Loss_D_fake -0.011223
[1168/5000][200/535][120469] Loss_D: -0.019680 Loss_G: -0.012075 Loss_D_real: -0.000372 Loss_D_fake 0.019308
[1168/5000][205/535][120470] Loss_D: -0.021757 Loss_G: 0.012870 Loss_D_real: -0.023471 Loss_D_fake -0.001715
[1168/5000][210/535][120471] Loss_D: -0.021861 Loss_G: -0.007639 Loss_D_real: -0.011155 Loss_D_fake 0.010705
[1168/5000][215/535][120472] Loss_D: -0.019040 Loss_G: -0.014284 Loss_D_real: -0.004630 Loss_D_fake 0.014411
[1168/5000][220/535][120473] Loss_D: -0.021133 Loss_G: 0.005109 Loss_D_real: -0.015173 Loss_D_fake 0.005960
[1168/5000][225/535][120474] Loss_D: -0.020378 Loss_G: 0.002771 Loss_D_real: -0.019353 Loss_D_fake 0.001025
[1168/5000][230/535][120475] Loss_D: -0.021468 Loss_G: -0.005680 Loss_D_real: -0.005810 Loss_D_fake 0.015658
[1168/5000][235/535][120476] Loss_D: -0.021201 Loss_G: 0.005444 Loss_D_real: -0.014649 Loss_D_fake 0.006552
[1168/5000][240/535][120477] Loss_D: -0.020942 Loss_G: 0.018749 Loss_D_real: -0.012739 Loss_D_fake 0.008203
[1168/5000][245/535][120478] Loss_D: -0.020278 Loss_G: 0.006987 Loss_D_real: -0.023347 Loss_D_fake -0.003069
[1168/5000][250/535][120479] Loss_D: -0.020649 Loss_G: -0.004957 Loss_D_real: -0.021090 Loss_D_fake -0.000442
[1168/5000][255/535][120480] Loss_D: -0.020610 Loss_G: 0.020846 Loss_D_real: -0.031102 Loss_D_fake -0.010492
[1168/5000][260/535][120481] Loss_D: -0.020247 Loss_G: 0.004666 Loss_D_real: -0.024856 Loss_D_fake -0.004609
[1168/5000][265/535][120482] Loss_D: -0.020233 Loss_G: 0.012028 Loss_D_real: -0.012500 Loss_D_fake 0.007733
[1168/5000][270/535][120483] Loss_D: -0.020771 Loss_G: 0.008296 Loss_D_real: -0.011629 Loss_D_fake 0.009142
[1168/5000][275/535][120484] Loss_D: -0.019989 Loss_G: -0.013141 Loss_D_real: -0.007430 Loss_D_fake 0.012559
[1168/5000][280/535][120485] Loss_D: -0.020529 Loss_G: 0.001127 Loss_D_real: -0.012868 Loss_D_fake 0.007661
[1168/5000][285/535][120486] Loss_D: -0.020552 Loss_G: 0.010159 Loss_D_real: -0.014386 Loss_D_fake 0.006167
[1168/5000][290/535][120487] Loss_D: -0.021366 Loss_G: 0.012058 Loss_D_real: -0.009128 Loss_D_fake 0.012237
[1168/5000][295/535][120488] Loss_D: -0.019601 Loss_G: 0.005627 Loss_D_real: -0.034471 Loss_D_fake -0.014870
[1168/5000][300/535][120489] Loss_D: -0.020253 Loss_G: 0.016697 Loss_D_real: -0.031012 Loss_D_fake -0.010759
[1168/5000][305/535][120490] Loss_D: -0.020539 Loss_G: -0.006859 Loss_D_real: -0.001527 Loss_D_fake 0.019012
[1168/5000][310/535][120491] Loss_D: -0.020643 Loss_G: -0.000766 Loss_D_real: -0.012800 Loss_D_fake 0.007843
[1168/5000][315/535][120492] Loss_D: -0.020702 Loss_G: 0.000806 Loss_D_real: -0.014338 Loss_D_fake 0.006364
[1168/5000][320/535][120493] Loss_D: -0.020628 Loss_G: 0.028743 Loss_D_real: -0.022815 Loss_D_fake -0.002187
[1168/5000][325/535][120494] Loss_D: -0.021215 Loss_G: 0.008095 Loss_D_real: -0.020312 Loss_D_fake 0.000903
[1168/5000][330/535][120495] Loss_D: -0.020593 Loss_G: 0.008835 Loss_D_real: -0.023378 Loss_D_fake -0.002784
[1168/5000][335/535][120496] Loss_D: -0.021442 Loss_G: 0.002065 Loss_D_real: -0.018427 Loss_D_fake 0.003015
[1168/5000][340/535][120497] Loss_D: -0.020252 Loss_G: 0.007389 Loss_D_real: -0.020857 Loss_D_fake -0.000604
[1168/5000][345/535][120498] Loss_D: -0.021144 Loss_G: 0.007035 Loss_D_real: -0.016830 Loss_D_fake 0.004314
[1168/5000][350/535][120499] Loss_D: -0.020875 Loss_G: -0.010899 Loss_D_real: -0.013382 Loss_D_fake 0.007494
[1168/5000][355/535][120500] Loss_D: -0.021057 Loss_G: 0.000555 Loss_D_real: -0.012248 Loss_D_fake 0.008809
[1168/5000][455/535][120501] Loss_D: -0.020726 Loss_G: -0.016129 Loss_D_real: 0.004164 Loss_D_fake 0.024889
[1168/5000][460/535][120502] Loss_D: -0.021397 Loss_G: 0.017358 Loss_D_real: -0.022914 Loss_D_fake -0.001517
[1168/5000][465/535][120503] Loss_D: -0.018090 Loss_G: 0.004163 Loss_D_real: -0.017943 Loss_D_fake 0.000148
[1168/5000][470/535][120504] Loss_D: -0.018240 Loss_G: 0.004209 Loss_D_real: -0.027358 Loss_D_fake -0.009119
[1168/5000][475/535][120505] Loss_D: -0.020145 Loss_G: 0.009807 Loss_D_real: -0.007794 Loss_D_fake 0.012351
[1168/5000][480/535][120506] Loss_D: -0.019907 Loss_G: 0.010448 Loss_D_real: -0.019105 Loss_D_fake 0.000803
[1168/5000][485/535][120507] Loss_D: -0.018546 Loss_G: 0.013286 Loss_D_real: -0.024027 Loss_D_fake -0.005481
[1168/5000][490/535][120508] Loss_D: -0.019883 Loss_G: 0.003221 Loss_D_real: -0.017781 Loss_D_fake 0.002101
[1168/5000][495/535][120509] Loss_D: -0.021077 Loss_G: 0.008968 Loss_D_real: -0.015021 Loss_D_fake 0.006056
[1168/5000][500/535][120510] Loss_D: -0.020004 Loss_G: 0.017806 Loss_D_real: -0.023594 Loss_D_fake -0.003590
[1168/5000][505/535][120511] Loss_D: -0.020473 Loss_G: -0.004036 Loss_D_real: -0.014607 Loss_D_fake 0.005867
[1168/5000][510/535][120512] Loss_D: -0.021129 Loss_G: 0.016488 Loss_D_real: -0.022260 Loss_D_fake -0.001130
[1168/5000][515/535][120513] Loss_D: -0.020078 Loss_G: -0.002430 Loss_D_real: -0.005722 Loss_D_fake 0.014356
[1168/5000][520/535][120514] Loss_D: -0.020951 Loss_G: 0.007595 Loss_D_real: -0.026773 Loss_D_fake -0.005822
[1168/5000][525/535][120515] Loss_D: -0.020514 Loss_G: 0.000490 Loss_D_real: -0.017217 Loss_D_fake 0.003297
[1168/5000][530/535][120516] Loss_D: -0.020267 Loss_G: 0.001774 Loss_D_real: -0.010184 Loss_D_fake 0.010083
[1168/5000][535/535][120517] Loss_D: -0.022483 Loss_G: 0.038242 Loss_D_real: -0.016218 Loss_D_fake 0.006265
[1169/5000][5/535][120518] Loss_D: -0.022333 Loss_G: 0.015994 Loss_D_real: -0.037267 Loss_D_fake -0.014933
[1169/5000][10/535][120519] Loss_D: -0.022233 Loss_G: 0.018827 Loss_D_real: -0.029877 Loss_D_fake -0.007644
[1169/5000][15/535][120520] Loss_D: -0.022534 Loss_G: 0.000873 Loss_D_real: -0.015000 Loss_D_fake 0.007534
[1169/5000][20/535][120521] Loss_D: -0.020705 Loss_G: 0.001311 Loss_D_real: -0.018472 Loss_D_fake 0.002232
[1169/5000][25/535][120522] Loss_D: -0.020090 Loss_G: 0.005210 Loss_D_real: -0.011049 Loss_D_fake 0.009041
[1169/5000][30/535][120523] Loss_D: -0.021567 Loss_G: -0.001918 Loss_D_real: -0.009587 Loss_D_fake 0.011981
[1169/5000][35/535][120524] Loss_D: -0.021256 Loss_G: 0.008382 Loss_D_real: -0.031205 Loss_D_fake -0.009949
[1169/5000][40/535][120525] Loss_D: -0.020378 Loss_G: 0.015026 Loss_D_real: -0.015616 Loss_D_fake 0.004762
[1169/5000][45/535][120526] Loss_D: -0.021430 Loss_G: 0.024068 Loss_D_real: -0.020422 Loss_D_fake 0.001008
[1169/5000][50/535][120527] Loss_D: -0.021083 Loss_G: -0.006284 Loss_D_real: -0.009592 Loss_D_fake 0.011491
[1169/5000][55/535][120528] Loss_D: -0.021490 Loss_G: -0.002646 Loss_D_real: -0.020446 Loss_D_fake 0.001044
[1169/5000][60/535][120529] Loss_D: -0.020651 Loss_G: 0.012592 Loss_D_real: -0.026178 Loss_D_fake -0.005527
[1169/5000][65/535][120530] Loss_D: -0.021414 Loss_G: -0.008564 Loss_D_real: -0.003633 Loss_D_fake 0.017781
[1169/5000][70/535][120531] Loss_D: -0.020579 Loss_G: 0.008973 Loss_D_real: -0.013890 Loss_D_fake 0.006689
[1169/5000][75/535][120532] Loss_D: -0.021677 Loss_G: 0.016553 Loss_D_real: -0.010166 Loss_D_fake 0.011511
[1169/5000][80/535][120533] Loss_D: -0.019754 Loss_G: -0.011606 Loss_D_real: -0.014082 Loss_D_fake 0.005673
[1169/5000][85/535][120534] Loss_D: -0.019791 Loss_G: 0.019251 Loss_D_real: -0.023358 Loss_D_fake -0.003567
[1169/5000][90/535][120535] Loss_D: -0.020306 Loss_G: 0.012388 Loss_D_real: -0.036634 Loss_D_fake -0.016328
[1169/5000][95/535][120536] Loss_D: -0.019969 Loss_G: -0.005384 Loss_D_real: -0.004913 Loss_D_fake 0.015056
[1169/5000][100/535][120537] Loss_D: -0.020418 Loss_G: 0.008927 Loss_D_real: -0.031035 Loss_D_fake -0.010617
[1169/5000][105/535][120538] Loss_D: -0.021081 Loss_G: 0.019579 Loss_D_real: -0.026504 Loss_D_fake -0.005423
[1169/5000][110/535][120539] Loss_D: -0.019452 Loss_G: 0.012559 Loss_D_real: -0.034759 Loss_D_fake -0.015307
[1169/5000][115/535][120540] Loss_D: -0.019068 Loss_G: 0.031818 Loss_D_real: -0.031222 Loss_D_fake -0.012153
[1169/5000][120/535][120541] Loss_D: -0.022582 Loss_G: 0.001167 Loss_D_real: -0.024100 Loss_D_fake -0.001518
[1169/5000][125/535][120542] Loss_D: -0.021173 Loss_G: 0.009941 Loss_D_real: -0.009720 Loss_D_fake 0.011452
[1169/5000][130/535][120543] Loss_D: -0.021856 Loss_G: -0.011960 Loss_D_real: -0.015766 Loss_D_fake 0.006090
[1169/5000][135/535][120544] Loss_D: -0.022383 Loss_G: 0.011777 Loss_D_real: -0.034339 Loss_D_fake -0.011956
[1169/5000][140/535][120545] Loss_D: -0.021628 Loss_G: 0.006214 Loss_D_real: -0.023776 Loss_D_fake -0.002149
[1169/5000][145/535][120546] Loss_D: -0.020894 Loss_G: 0.006781 Loss_D_real: -0.015648 Loss_D_fake 0.005247
[1169/5000][150/535][120547] Loss_D: -0.021939 Loss_G: 0.009114 Loss_D_real: -0.029000 Loss_D_fake -0.007061
[1169/5000][155/535][120548] Loss_D: -0.020315 Loss_G: -0.006411 Loss_D_real: -0.017964 Loss_D_fake 0.002351
[1169/5000][160/535][120549] Loss_D: -0.020554 Loss_G: 0.009843 Loss_D_real: -0.020732 Loss_D_fake -0.000178
[1169/5000][165/535][120550] Loss_D: -0.020570 Loss_G: -0.003321 Loss_D_real: -0.007251 Loss_D_fake 0.013319
[1169/5000][170/535][120551] Loss_D: -0.021635 Loss_G: 0.007491 Loss_D_real: -0.019605 Loss_D_fake 0.002030
[1169/5000][175/535][120552] Loss_D: -0.019946 Loss_G: 0.009766 Loss_D_real: -0.023918 Loss_D_fake -0.003972
[1169/5000][180/535][120553] Loss_D: -0.022089 Loss_G: 0.007424 Loss_D_real: -0.021010 Loss_D_fake 0.001079
[1169/5000][185/535][120554] Loss_D: -0.021435 Loss_G: 0.015912 Loss_D_real: -0.004992 Loss_D_fake 0.016443
[1169/5000][190/535][120555] Loss_D: -0.019936 Loss_G: -0.005363 Loss_D_real: 0.002118 Loss_D_fake 0.022054
[1169/5000][195/535][120556] Loss_D: -0.020475 Loss_G: 0.002375 Loss_D_real: -0.019880 Loss_D_fake 0.000595
[1169/5000][200/535][120557] Loss_D: -0.020466 Loss_G: -0.000649 Loss_D_real: -0.015670 Loss_D_fake 0.004795
[1169/5000][205/535][120558] Loss_D: -0.021248 Loss_G: 0.021602 Loss_D_real: -0.013118 Loss_D_fake 0.008130
[1169/5000][210/535][120559] Loss_D: -0.019986 Loss_G: 0.011213 Loss_D_real: -0.029785 Loss_D_fake -0.009798
[1169/5000][215/535][120560] Loss_D: -0.021245 Loss_G: 0.011278 Loss_D_real: -0.022125 Loss_D_fake -0.000880
[1169/5000][220/535][120561] Loss_D: -0.019496 Loss_G: 0.025153 Loss_D_real: -0.033003 Loss_D_fake -0.013506
[1169/5000][225/535][120562] Loss_D: -0.020133 Loss_G: -0.003810 Loss_D_real: -0.000794 Loss_D_fake 0.019339
[1169/5000][230/535][120563] Loss_D: -0.019968 Loss_G: -0.002057 Loss_D_real: -0.013042 Loss_D_fake 0.006926
[1169/5000][235/535][120564] Loss_D: -0.019049 Loss_G: -0.011995 Loss_D_real: -0.004491 Loss_D_fake 0.014558
[1169/5000][240/535][120565] Loss_D: -0.020678 Loss_G: 0.014849 Loss_D_real: -0.028917 Loss_D_fake -0.008240
[1169/5000][245/535][120566] Loss_D: -0.019384 Loss_G: 0.018339 Loss_D_real: -0.026849 Loss_D_fake -0.007465
[1169/5000][250/535][120567] Loss_D: -0.019999 Loss_G: 0.011123 Loss_D_real: -0.029889 Loss_D_fake -0.009890
[1169/5000][255/535][120568] Loss_D: -0.022087 Loss_G: -0.004804 Loss_D_real: -0.015353 Loss_D_fake 0.006734
[1169/5000][260/535][120569] Loss_D: -0.019060 Loss_G: 0.016394 Loss_D_real: -0.037411 Loss_D_fake -0.018351
[1169/5000][265/535][120570] Loss_D: -0.019745 Loss_G: 0.023007 Loss_D_real: -0.029988 Loss_D_fake -0.010243
[1169/5000][270/535][120571] Loss_D: -0.020604 Loss_G: -0.003912 Loss_D_real: -0.006211 Loss_D_fake 0.014393
[1169/5000][275/535][120572] Loss_D: -0.021193 Loss_G: 0.002827 Loss_D_real: -0.017934 Loss_D_fake 0.003259
[1169/5000][280/535][120573] Loss_D: -0.018517 Loss_G: 0.027735 Loss_D_real: -0.021418 Loss_D_fake -0.002901
[1169/5000][285/535][120574] Loss_D: -0.020821 Loss_G: 0.008819 Loss_D_real: -0.018718 Loss_D_fake 0.002104
[1169/5000][290/535][120575] Loss_D: -0.020611 Loss_G: 0.010557 Loss_D_real: -0.026113 Loss_D_fake -0.005502
[1169/5000][295/535][120576] Loss_D: -0.021117 Loss_G: -0.003360 Loss_D_real: -0.007860 Loss_D_fake 0.013257
[1169/5000][300/535][120577] Loss_D: -0.020587 Loss_G: -0.006944 Loss_D_real: -0.011954 Loss_D_fake 0.008633
[1169/5000][305/535][120578] Loss_D: -0.021380 Loss_G: 0.010613 Loss_D_real: -0.017661 Loss_D_fake 0.003720
[1169/5000][310/535][120579] Loss_D: -0.020827 Loss_G: 0.015167 Loss_D_real: -0.035542 Loss_D_fake -0.014715
[1169/5000][315/535][120580] Loss_D: -0.021181 Loss_G: 0.004582 Loss_D_real: -0.023300 Loss_D_fake -0.002119
[1169/5000][320/535][120581] Loss_D: -0.021415 Loss_G: 0.012039 Loss_D_real: -0.031913 Loss_D_fake -0.010498
[1169/5000][325/535][120582] Loss_D: -0.020514 Loss_G: 0.001585 Loss_D_real: -0.013497 Loss_D_fake 0.007017
[1169/5000][330/535][120583] Loss_D: -0.021137 Loss_G: 0.016602 Loss_D_real: -0.011210 Loss_D_fake 0.009926
[1169/5000][335/535][120584] Loss_D: -0.021480 Loss_G: 0.012548 Loss_D_real: -0.022644 Loss_D_fake -0.001164
[1169/5000][340/535][120585] Loss_D: -0.021924 Loss_G: 0.005593 Loss_D_real: -0.013135 Loss_D_fake 0.008789
[1169/5000][345/535][120586] Loss_D: -0.021099 Loss_G: 0.006103 Loss_D_real: -0.020875 Loss_D_fake 0.000224
[1169/5000][350/535][120587] Loss_D: -0.021022 Loss_G: -0.005207 Loss_D_real: -0.002570 Loss_D_fake 0.018452
[1169/5000][355/535][120588] Loss_D: -0.019992 Loss_G: -0.007754 Loss_D_real: -0.019895 Loss_D_fake 0.000097
[1169/5000][360/535][120589] Loss_D: -0.020643 Loss_G: 0.009126 Loss_D_real: -0.015843 Loss_D_fake 0.004799
[1169/5000][365/535][120590] Loss_D: -0.019129 Loss_G: 0.000220 Loss_D_real: -0.009648 Loss_D_fake 0.009481
[1169/5000][370/535][120591] Loss_D: -0.019862 Loss_G: -0.011438 Loss_D_real: -0.012554 Loss_D_fake 0.007308
[1169/5000][375/535][120592] Loss_D: -0.020673 Loss_G: 0.001453 Loss_D_real: -0.008053 Loss_D_fake 0.012620
[1169/5000][380/535][120593] Loss_D: -0.019464 Loss_G: 0.014159 Loss_D_real: -0.030944 Loss_D_fake -0.011481
[1169/5000][385/535][120594] Loss_D: -0.020385 Loss_G: 0.012436 Loss_D_real: -0.015378 Loss_D_fake 0.005007
[1169/5000][390/535][120595] Loss_D: -0.020617 Loss_G: 0.022351 Loss_D_real: -0.029165 Loss_D_fake -0.008548
[1169/5000][395/535][120596] Loss_D: -0.020821 Loss_G: 0.006429 Loss_D_real: -0.010393 Loss_D_fake 0.010428
[1169/5000][400/535][120597] Loss_D: -0.020170 Loss_G: -0.009254 Loss_D_real: 0.006514 Loss_D_fake 0.026684
[1169/5000][405/535][120598] Loss_D: -0.020470 Loss_G: 0.021218 Loss_D_real: -0.031035 Loss_D_fake -0.010565
[1169/5000][410/535][120599] Loss_D: -0.020204 Loss_G: 0.025168 Loss_D_real: -0.027626 Loss_D_fake -0.007422
[1169/5000][415/535][120600] Loss_D: -0.020079 Loss_G: -0.008411 Loss_D_real: -0.013826 Loss_D_fake 0.006253
[1169/5000][420/535][120601] Loss_D: -0.021138 Loss_G: -0.004828 Loss_D_real: -0.016584 Loss_D_fake 0.004554
[1169/5000][425/535][120602] Loss_D: -0.021767 Loss_G: 0.010980 Loss_D_real: -0.015670 Loss_D_fake 0.006097
[1169/5000][430/535][120603] Loss_D: -0.020659 Loss_G: 0.010244 Loss_D_real: -0.019918 Loss_D_fake 0.000740
[1169/5000][435/535][120604] Loss_D: -0.021754 Loss_G: 0.006104 Loss_D_real: -0.006935 Loss_D_fake 0.014818
[1169/5000][440/535][120605] Loss_D: -0.020994 Loss_G: 0.014543 Loss_D_real: -0.028572 Loss_D_fake -0.007578
[1169/5000][445/535][120606] Loss_D: -0.021156 Loss_G: -0.015004 Loss_D_real: -0.010925 Loss_D_fake 0.010231
[1169/5000][450/535][120607] Loss_D: -0.020661 Loss_G: 0.011863 Loss_D_real: -0.023092 Loss_D_fake -0.002432
[1169/5000][455/535][120608] Loss_D: -0.020354 Loss_G: 0.017628 Loss_D_real: -0.035195 Loss_D_fake -0.014841
[1169/5000][460/535][120609] Loss_D: -0.021594 Loss_G: 0.011475 Loss_D_real: -0.014560 Loss_D_fake 0.007034
[1169/5000][465/535][120610] Loss_D: -0.021873 Loss_G: -0.003679 Loss_D_real: -0.017263 Loss_D_fake 0.004609
[1169/5000][470/535][120611] Loss_D: -0.020234 Loss_G: 0.004029 Loss_D_real: -0.020425 Loss_D_fake -0.000192
[1169/5000][475/535][120612] Loss_D: -0.020708 Loss_G: 0.014034 Loss_D_real: -0.014518 Loss_D_fake 0.006190
[1169/5000][480/535][120613] Loss_D: -0.021265 Loss_G: 0.016721 Loss_D_real: -0.016290 Loss_D_fake 0.004975
[1169/5000][485/535][120614] Loss_D: -0.020694 Loss_G: 0.009636 Loss_D_real: -0.028539 Loss_D_fake -0.007846
[1169/5000][490/535][120615] Loss_D: -0.019628 Loss_G: 0.006338 Loss_D_real: -0.011156 Loss_D_fake 0.008472
[1169/5000][495/535][120616] Loss_D: -0.020214 Loss_G: 0.013381 Loss_D_real: -0.021123 Loss_D_fake -0.000909
[1169/5000][500/535][120617] Loss_D: -0.019839 Loss_G: -0.003325 Loss_D_real: -0.019681 Loss_D_fake 0.000158
[1169/5000][505/535][120618] Loss_D: -0.021048 Loss_G: -0.010038 Loss_D_real: -0.021746 Loss_D_fake -0.000698
[1169/5000][510/535][120619] Loss_D: -0.018882 Loss_G: 0.024630 Loss_D_real: -0.036432 Loss_D_fake -0.017550
[1169/5000][515/535][120620] Loss_D: -0.019865 Loss_G: 0.004299 Loss_D_real: -0.019347 Loss_D_fake 0.000518
[1169/5000][520/535][120621] Loss_D: -0.020945 Loss_G: 0.003291 Loss_D_real: -0.017947 Loss_D_fake 0.002998
[1169/5000][525/535][120622] Loss_D: -0.021425 Loss_G: 0.002263 Loss_D_real: -0.029126 Loss_D_fake -0.007701
[1169/5000][530/535][120623] Loss_D: -0.022075 Loss_G: -0.004943 Loss_D_real: -0.013618 Loss_D_fake 0.008458
[1169/5000][535/535][120624] Loss_D: -0.022649 Loss_G: 0.030708 Loss_D_real: -0.009540 Loss_D_fake 0.013109
[1170/5000][5/535][120625] Loss_D: -0.020537 Loss_G: -0.000095 Loss_D_real: -0.017226 Loss_D_fake 0.003311
[1170/5000][10/535][120626] Loss_D: -0.018230 Loss_G: 0.030268 Loss_D_real: -0.039299 Loss_D_fake -0.021069
[1170/5000][15/535][120627] Loss_D: -0.021101 Loss_G: 0.009606 Loss_D_real: -0.013858 Loss_D_fake 0.007242
[1170/5000][20/535][120628] Loss_D: -0.019805 Loss_G: -0.018327 Loss_D_real: -0.001748 Loss_D_fake 0.018057
[1170/5000][25/535][120629] Loss_D: -0.018851 Loss_G: 0.007525 Loss_D_real: -0.016554 Loss_D_fake 0.002297
[1170/5000][30/535][120630] Loss_D: -0.020699 Loss_G: 0.022143 Loss_D_real: -0.029051 Loss_D_fake -0.008351
[1170/5000][35/535][120631] Loss_D: -0.020149 Loss_G: 0.005360 Loss_D_real: -0.020158 Loss_D_fake -0.000009
[1170/5000][40/535][120632] Loss_D: -0.021725 Loss_G: 0.012076 Loss_D_real: -0.017466 Loss_D_fake 0.004259
[1170/5000][45/535][120633] Loss_D: -0.022393 Loss_G: 0.016086 Loss_D_real: -0.023240 Loss_D_fake -0.000847
[1170/5000][50/535][120634] Loss_D: -0.021781 Loss_G: 0.008191 Loss_D_real: -0.016599 Loss_D_fake 0.005183
[1170/5000][55/535][120635] Loss_D: -0.020648 Loss_G: -0.001559 Loss_D_real: -0.017315 Loss_D_fake 0.003333
[1170/5000][60/535][120636] Loss_D: -0.020632 Loss_G: -0.007375 Loss_D_real: -0.013537 Loss_D_fake 0.007095
[1170/5000][65/535][120637] Loss_D: -0.021902 Loss_G: 0.000260 Loss_D_real: -0.019154 Loss_D_fake 0.002747
[1170/5000][70/535][120638] Loss_D: -0.021863 Loss_G: -0.004879 Loss_D_real: -0.014848 Loss_D_fake 0.007015
[1170/5000][75/535][120639] Loss_D: -0.021551 Loss_G: 0.009696 Loss_D_real: -0.006463 Loss_D_fake 0.015088
[1170/5000][80/535][120640] Loss_D: -0.020208 Loss_G: 0.005244 Loss_D_real: -0.027005 Loss_D_fake -0.006797
[1170/5000][85/535][120641] Loss_D: -0.021737 Loss_G: -0.012067 Loss_D_real: -0.005192 Loss_D_fake 0.016546
[1170/5000][90/535][120642] Loss_D: -0.019783 Loss_G: 0.000894 Loss_D_real: -0.006294 Loss_D_fake 0.013489
[1170/5000][95/535][120643] Loss_D: -0.021469 Loss_G: 0.003311 Loss_D_real: -0.010320 Loss_D_fake 0.011149
[1170/5000][100/535][120644] Loss_D: -0.020428 Loss_G: -0.008639 Loss_D_real: -0.007220 Loss_D_fake 0.013208
[1170/5000][105/535][120645] Loss_D: -0.019117 Loss_G: 0.028795 Loss_D_real: -0.028929 Loss_D_fake -0.009812
[1170/5000][110/535][120646] Loss_D: -0.021763 Loss_G: 0.007448 Loss_D_real: -0.011320 Loss_D_fake 0.010443
[1170/5000][115/535][120647] Loss_D: -0.021561 Loss_G: 0.012534 Loss_D_real: -0.025918 Loss_D_fake -0.004357
[1170/5000][120/535][120648] Loss_D: -0.020452 Loss_G: 0.023481 Loss_D_real: -0.024556 Loss_D_fake -0.004105
[1170/5000][125/535][120649] Loss_D: -0.021405 Loss_G: 0.009839 Loss_D_real: -0.012532 Loss_D_fake 0.008873
[1170/5000][130/535][120650] Loss_D: -0.021061 Loss_G: 0.017641 Loss_D_real: -0.024622 Loss_D_fake -0.003561
[1170/5000][135/535][120651] Loss_D: -0.021725 Loss_G: 0.011158 Loss_D_real: -0.012685 Loss_D_fake 0.009040
[1170/5000][140/535][120652] Loss_D: -0.021451 Loss_G: 0.001279 Loss_D_real: -0.022456 Loss_D_fake -0.001005
[1170/5000][145/535][120653] Loss_D: -0.021464 Loss_G: 0.007616 Loss_D_real: -0.024358 Loss_D_fake -0.002894
[1170/5000][150/535][120654] Loss_D: -0.020409 Loss_G: -0.007394 Loss_D_real: -0.006974 Loss_D_fake 0.013435
[1170/5000][155/535][120655] Loss_D: -0.020126 Loss_G: 0.012514 Loss_D_real: -0.024482 Loss_D_fake -0.004356
[1170/5000][160/535][120656] Loss_D: -0.020489 Loss_G: 0.020752 Loss_D_real: -0.017104 Loss_D_fake 0.003385
[1170/5000][165/535][120657] Loss_D: -0.021073 Loss_G: 0.010022 Loss_D_real: -0.020692 Loss_D_fake 0.000381
[1170/5000][170/535][120658] Loss_D: -0.019759 Loss_G: -0.012007 Loss_D_real: -0.002646 Loss_D_fake 0.017113
[1170/5000][175/535][120659] Loss_D: -0.021199 Loss_G: 0.008582 Loss_D_real: -0.015055 Loss_D_fake 0.006144
[1170/5000][180/535][120660] Loss_D: -0.020478 Loss_G: 0.011714 Loss_D_real: -0.030059 Loss_D_fake -0.009581
[1170/5000][185/535][120661] Loss_D: -0.020566 Loss_G: 0.026515 Loss_D_real: -0.026204 Loss_D_fake -0.005638
[1170/5000][190/535][120662] Loss_D: -0.019684 Loss_G: 0.007656 Loss_D_real: -0.008167 Loss_D_fake 0.011517
[1170/5000][195/535][120663] Loss_D: -0.020023 Loss_G: -0.005000 Loss_D_real: -0.003593 Loss_D_fake 0.016431
[1170/5000][200/535][120664] Loss_D: -0.020727 Loss_G: 0.005438 Loss_D_real: -0.020912 Loss_D_fake -0.000185
[1170/5000][205/535][120665] Loss_D: -0.020838 Loss_G: 0.011374 Loss_D_real: -0.018951 Loss_D_fake 0.001887
[1170/5000][210/535][120666] Loss_D: -0.021541 Loss_G: 0.008386 Loss_D_real: -0.025580 Loss_D_fake -0.004039
[1170/5000][215/535][120667] Loss_D: -0.022087 Loss_G: 0.001260 Loss_D_real: -0.010226 Loss_D_fake 0.011861
[1170/5000][220/535][120668] Loss_D: -0.021928 Loss_G: 0.025220 Loss_D_real: -0.024406 Loss_D_fake -0.002478
[1170/5000][225/535][120669] Loss_D: -0.021864 Loss_G: 0.001045 Loss_D_real: -0.017690 Loss_D_fake 0.004173
[1170/5000][230/535][120670] Loss_D: -0.020070 Loss_G: 0.020584 Loss_D_real: -0.025517 Loss_D_fake -0.005447
[1170/5000][235/535][120671] Loss_D: -0.020430 Loss_G: 0.010329 Loss_D_real: -0.017317 Loss_D_fake 0.003113
[1170/5000][240/535][120672] Loss_D: -0.021027 Loss_G: 0.026382 Loss_D_real: -0.020725 Loss_D_fake 0.000302
[1170/5000][245/535][120673] Loss_D: -0.020858 Loss_G: -0.020335 Loss_D_real: -0.003018 Loss_D_fake 0.017841
[1170/5000][250/535][120674] Loss_D: -0.020204 Loss_G: 0.011978 Loss_D_real: -0.034275 Loss_D_fake -0.014071
[1170/5000][255/535][120675] Loss_D: -0.021103 Loss_G: 0.004441 Loss_D_real: -0.011636 Loss_D_fake 0.009467
[1170/5000][260/535][120676] Loss_D: -0.019903 Loss_G: 0.013256 Loss_D_real: -0.024452 Loss_D_fake -0.004549
[1170/5000][265/535][120677] Loss_D: -0.021628 Loss_G: 0.009691 Loss_D_real: -0.009553 Loss_D_fake 0.012075
[1170/5000][270/535][120678] Loss_D: -0.020332 Loss_G: 0.007092 Loss_D_real: -0.008893 Loss_D_fake 0.011440
[1170/5000][275/535][120679] Loss_D: -0.020351 Loss_G: 0.003772 Loss_D_real: -0.010291 Loss_D_fake 0.010060
[1170/5000][280/535][120680] Loss_D: -0.022522 Loss_G: 0.021185 Loss_D_real: -0.016439 Loss_D_fake 0.006082
[1170/5000][285/535][120681] Loss_D: -0.020272 Loss_G: -0.010515 Loss_D_real: -0.001674 Loss_D_fake 0.018598
[1170/5000][290/535][120682] Loss_D: -0.021132 Loss_G: -0.013143 Loss_D_real: 0.007270 Loss_D_fake 0.028402
[1170/5000][295/535][120683] Loss_D: -0.019783 Loss_G: 0.009195 Loss_D_real: -0.019914 Loss_D_fake -0.000131
[1170/5000][300/535][120684] Loss_D: -0.021821 Loss_G: -0.012145 Loss_D_real: -0.011998 Loss_D_fake 0.009822
[1170/5000][305/535][120685] Loss_D: -0.020228 Loss_G: 0.018753 Loss_D_real: -0.031617 Loss_D_fake -0.011389
[1170/5000][310/535][120686] Loss_D: -0.020468 Loss_G: 0.000530 Loss_D_real: -0.004277 Loss_D_fake 0.016191
[1170/5000][315/535][120687] Loss_D: -0.021390 Loss_G: -0.002523 Loss_D_real: -0.009137 Loss_D_fake 0.012253
[1170/5000][320/535][120688] Loss_D: -0.020751 Loss_G: 0.002250 Loss_D_real: -0.026226 Loss_D_fake -0.005476
[1170/5000][325/535][120689] Loss_D: -0.021501 Loss_G: 0.002560 Loss_D_real: -0.014561 Loss_D_fake 0.006940
[1170/5000][330/535][120690] Loss_D: -0.020632 Loss_G: 0.014963 Loss_D_real: -0.013491 Loss_D_fake 0.007140
[1170/5000][335/535][120691] Loss_D: -0.020081 Loss_G: 0.012286 Loss_D_real: -0.018674 Loss_D_fake 0.001407
[1170/5000][340/535][120692] Loss_D: -0.020258 Loss_G: 0.009296 Loss_D_real: -0.022763 Loss_D_fake -0.002506
[1170/5000][345/535][120693] Loss_D: -0.020212 Loss_G: 0.002834 Loss_D_real: -0.011587 Loss_D_fake 0.008625
[1170/5000][350/535][120694] Loss_D: -0.020859 Loss_G: -0.005237 Loss_D_real: -0.005096 Loss_D_fake 0.015763
[1170/5000][355/535][120695] Loss_D: -0.021851 Loss_G: 0.005827 Loss_D_real: -0.011192 Loss_D_fake 0.010659
[1170/5000][360/535][120696] Loss_D: -0.021437 Loss_G: 0.018296 Loss_D_real: -0.013963 Loss_D_fake 0.007474
[1170/5000][365/535][120697] Loss_D: -0.019186 Loss_G: -0.006128 Loss_D_real: -0.022481 Loss_D_fake -0.003294
[1170/5000][370/535][120698] Loss_D: -0.019105 Loss_G: 0.022861 Loss_D_real: -0.038453 Loss_D_fake -0.019348
[1170/5000][375/535][120699] Loss_D: -0.021755 Loss_G: 0.006902 Loss_D_real: -0.021366 Loss_D_fake 0.000389
[1170/5000][380/535][120700] Loss_D: -0.020815 Loss_G: 0.004166 Loss_D_real: -0.014843 Loss_D_fake 0.005973
[1170/5000][385/535][120701] Loss_D: -0.021691 Loss_G: 0.011974 Loss_D_real: -0.017654 Loss_D_fake 0.004036
[1170/5000][390/535][120702] Loss_D: -0.019137 Loss_G: 0.010994 Loss_D_real: -0.025388 Loss_D_fake -0.006251
[1170/5000][395/535][120703] Loss_D: -0.021826 Loss_G: -0.003227 Loss_D_real: -0.009083 Loss_D_fake 0.012744
[1170/5000][400/535][120704] Loss_D: -0.021086 Loss_G: -0.001555 Loss_D_real: -0.005727 Loss_D_fake 0.015358
[1170/5000][405/535][120705] Loss_D: -0.019237 Loss_G: 0.009511 Loss_D_real: -0.030551 Loss_D_fake -0.011314
[1170/5000][410/535][120706] Loss_D: -0.021265 Loss_G: -0.000315 Loss_D_real: -0.015723 Loss_D_fake 0.005542
[1170/5000][415/535][120707] Loss_D: -0.020111 Loss_G: 0.013789 Loss_D_real: -0.026233 Loss_D_fake -0.006122
[1170/5000][420/535][120708] Loss_D: -0.019892 Loss_G: 0.001512 Loss_D_real: -0.010104 Loss_D_fake 0.009788
[1170/5000][425/535][120709] Loss_D: -0.021838 Loss_G: 0.014466 Loss_D_real: -0.018547 Loss_D_fake 0.003291
[1170/5000][430/535][120710] Loss_D: -0.020764 Loss_G: -0.013942 Loss_D_real: -0.006514 Loss_D_fake 0.014250
[1170/5000][435/535][120711] Loss_D: -0.020643 Loss_G: 0.014487 Loss_D_real: -0.025594 Loss_D_fake -0.004951
[1170/5000][440/535][120712] Loss_D: -0.021837 Loss_G: 0.028242 Loss_D_real: -0.021680 Loss_D_fake 0.000157
[1170/5000][445/535][120713] Loss_D: -0.020313 Loss_G: -0.004440 Loss_D_real: -0.013035 Loss_D_fake 0.007278
[1170/5000][450/535][120714] Loss_D: -0.020279 Loss_G: -0.008230 Loss_D_real: -0.009290 Loss_D_fake 0.010988
[1170/5000][455/535][120715] Loss_D: -0.019338 Loss_G: 0.009131 Loss_D_real: -0.016459 Loss_D_fake 0.002879
[1170/5000][460/535][120716] Loss_D: -0.019530 Loss_G: 0.020195 Loss_D_real: -0.018251 Loss_D_fake 0.001279
[1170/5000][465/535][120717] Loss_D: -0.020280 Loss_G: 0.004855 Loss_D_real: -0.021091 Loss_D_fake -0.000811
[1170/5000][470/535][120718] Loss_D: -0.022368 Loss_G: 0.003944 Loss_D_real: -0.007220 Loss_D_fake 0.015148
[1170/5000][475/535][120719] Loss_D: -0.021410 Loss_G: 0.013979 Loss_D_real: -0.014903 Loss_D_fake 0.006507
[1170/5000][480/535][120720] Loss_D: -0.021326 Loss_G: -0.004500 Loss_D_real: -0.006737 Loss_D_fake 0.014589
[1170/5000][485/535][120721] Loss_D: -0.020968 Loss_G: 0.012922 Loss_D_real: -0.026066 Loss_D_fake -0.005098
[1170/5000][490/535][120722] Loss_D: -0.022548 Loss_G: -0.003681 Loss_D_real: -0.017055 Loss_D_fake 0.005493
[1170/5000][495/535][120723] Loss_D: -0.022134 Loss_G: -0.016428 Loss_D_real: -0.012602 Loss_D_fake 0.009532
[1170/5000][500/535][120724] Loss_D: -0.022253 Loss_G: 0.013988 Loss_D_real: -0.002844 Loss_D_fake 0.019409
[1170/5000][505/535][120725] Loss_D: -0.021343 Loss_G: 0.012931 Loss_D_real: -0.028892 Loss_D_fake -0.007549
[1170/5000][510/535][120726] Loss_D: -0.019816 Loss_G: -0.009919 Loss_D_real: 0.005197 Loss_D_fake 0.025012
[1170/5000][515/535][120727] Loss_D: -0.020022 Loss_G: 0.022153 Loss_D_real: -0.022303 Loss_D_fake -0.002281
[1170/5000][520/535][120728] Loss_D: -0.021705 Loss_G: -0.005743 Loss_D_real: -0.015572 Loss_D_fake 0.006133
[1170/5000][525/535][120729] Loss_D: -0.021572 Loss_G: 0.010029 Loss_D_real: -0.013131 Loss_D_fake 0.008441
[1170/5000][530/535][120730] Loss_D: -0.021090 Loss_G: 0.004040 Loss_D_real: -0.016651 Loss_D_fake 0.004439
[1170/5000][535/535][120731] Loss_D: -0.021795 Loss_G: 0.013890 Loss_D_real: -0.016827 Loss_D_fake 0.004968
[1171/5000][5/535][120732] Loss_D: -0.020759 Loss_G: 0.007941 Loss_D_real: -0.013400 Loss_D_fake 0.007360
[1171/5000][10/535][120733] Loss_D: -0.021334 Loss_G: -0.008319 Loss_D_real: -0.025406 Loss_D_fake -0.004072
[1171/5000][15/535][120734] Loss_D: -0.020390 Loss_G: -0.015208 Loss_D_real: 0.002361 Loss_D_fake 0.022750
[1171/5000][20/535][120735] Loss_D: -0.020846 Loss_G: 0.018804 Loss_D_real: -0.024381 Loss_D_fake -0.003535
[1171/5000][25/535][120736] Loss_D: -0.020846 Loss_G: -0.007605 Loss_D_real: -0.004781 Loss_D_fake 0.016065
[1171/5000][30/535][120737] Loss_D: -0.020049 Loss_G: -0.003146 Loss_D_real: -0.015257 Loss_D_fake 0.004793
[1171/5000][35/535][120738] Loss_D: -0.020742 Loss_G: -0.001258 Loss_D_real: -0.016316 Loss_D_fake 0.004426
[1171/5000][40/535][120739] Loss_D: -0.020742 Loss_G: 0.026271 Loss_D_real: -0.009290 Loss_D_fake 0.011452
[1171/5000][45/535][120740] Loss_D: -0.020787 Loss_G: 0.002293 Loss_D_real: -0.016924 Loss_D_fake 0.003863
[1171/5000][50/535][120741] Loss_D: -0.022147 Loss_G: 0.003622 Loss_D_real: -0.011385 Loss_D_fake 0.010763
[1171/5000][55/535][120742] Loss_D: -0.020536 Loss_G: -0.000126 Loss_D_real: -0.007558 Loss_D_fake 0.012978
[1171/5000][60/535][120743] Loss_D: -0.020580 Loss_G: 0.018728 Loss_D_real: -0.023688 Loss_D_fake -0.003109
[1171/5000][65/535][120744] Loss_D: -0.021558 Loss_G: 0.014212 Loss_D_real: -0.019406 Loss_D_fake 0.002152
[1171/5000][70/535][120745] Loss_D: -0.020308 Loss_G: 0.012928 Loss_D_real: -0.030301 Loss_D_fake -0.009993
[1171/5000][75/535][120746] Loss_D: -0.020916 Loss_G: 0.000314 Loss_D_real: -0.012231 Loss_D_fake 0.008686
[1171/5000][80/535][120747] Loss_D: -0.021607 Loss_G: 0.003265 Loss_D_real: -0.023598 Loss_D_fake -0.001991
[1171/5000][85/535][120748] Loss_D: -0.020836 Loss_G: 0.020827 Loss_D_real: -0.018266 Loss_D_fake 0.002570
[1171/5000][90/535][120749] Loss_D: -0.021170 Loss_G: 0.001365 Loss_D_real: -0.022750 Loss_D_fake -0.001580
[1171/5000][95/535][120750] Loss_D: -0.022213 Loss_G: 0.004338 Loss_D_real: -0.032238 Loss_D_fake -0.010026
[1171/5000][100/535][120751] Loss_D: -0.020276 Loss_G: 0.002348 Loss_D_real: -0.013489 Loss_D_fake 0.006787
[1171/5000][105/535][120752] Loss_D: -0.020679 Loss_G: 0.000531 Loss_D_real: -0.013910 Loss_D_fake 0.006769
[1171/5000][110/535][120753] Loss_D: -0.021430 Loss_G: 0.005998 Loss_D_real: -0.018446 Loss_D_fake 0.002984
[1171/5000][115/535][120754] Loss_D: -0.021333 Loss_G: 0.026616 Loss_D_real: -0.030646 Loss_D_fake -0.009313
[1171/5000][120/535][120755] Loss_D: -0.020369 Loss_G: 0.001606 Loss_D_real: -0.021783 Loss_D_fake -0.001414
[1171/5000][125/535][120756] Loss_D: -0.020669 Loss_G: -0.003501 Loss_D_real: -0.011852 Loss_D_fake 0.008817
[1171/5000][130/535][120757] Loss_D: -0.020165 Loss_G: 0.019305 Loss_D_real: -0.026409 Loss_D_fake -0.006244
[1171/5000][135/535][120758] Loss_D: -0.020461 Loss_G: 0.015851 Loss_D_real: -0.013070 Loss_D_fake 0.007391
[1171/5000][140/535][120759] Loss_D: -0.020314 Loss_G: 0.012531 Loss_D_real: -0.020210 Loss_D_fake 0.000104
[1171/5000][145/535][120760] Loss_D: -0.020806 Loss_G: 0.000663 Loss_D_real: -0.027896 Loss_D_fake -0.007090
[1171/5000][150/535][120761] Loss_D: -0.020000 Loss_G: 0.012153 Loss_D_real: -0.021250 Loss_D_fake -0.001250
[1171/5000][155/535][120762] Loss_D: -0.021970 Loss_G: 0.006997 Loss_D_real: -0.019492 Loss_D_fake 0.002478
[1171/5000][160/535][120763] Loss_D: -0.020384 Loss_G: 0.006603 Loss_D_real: -0.014811 Loss_D_fake 0.005573
[1171/5000][165/535][120764] Loss_D: -0.020756 Loss_G: -0.007048 Loss_D_real: -0.013502 Loss_D_fake 0.007254
[1171/5000][170/535][120765] Loss_D: -0.019758 Loss_G: 0.012572 Loss_D_real: -0.031889 Loss_D_fake -0.012131
[1171/5000][175/535][120766] Loss_D: -0.021068 Loss_G: -0.009797 Loss_D_real: -0.002893 Loss_D_fake 0.018174
[1171/5000][180/535][120767] Loss_D: -0.022363 Loss_G: 0.026202 Loss_D_real: -0.025957 Loss_D_fake -0.003594
[1171/5000][185/535][120768] Loss_D: -0.019942 Loss_G: -0.007203 Loss_D_real: -0.007527 Loss_D_fake 0.012415
[1171/5000][190/535][120769] Loss_D: -0.019689 Loss_G: 0.012412 Loss_D_real: -0.025042 Loss_D_fake -0.005353
[1171/5000][195/535][120770] Loss_D: -0.020983 Loss_G: 0.011273 Loss_D_real: -0.020492 Loss_D_fake 0.000491
[1171/5000][200/535][120771] Loss_D: -0.021091 Loss_G: -0.004409 Loss_D_real: -0.017264 Loss_D_fake 0.003827
[1171/5000][205/535][120772] Loss_D: -0.020761 Loss_G: 0.005794 Loss_D_real: -0.021581 Loss_D_fake -0.000820
[1171/5000][210/535][120773] Loss_D: -0.020929 Loss_G: 0.020328 Loss_D_real: -0.021047 Loss_D_fake -0.000118
[1171/5000][215/535][120774] Loss_D: -0.020748 Loss_G: 0.002662 Loss_D_real: -0.003899 Loss_D_fake 0.016849
[1171/5000][220/535][120775] Loss_D: -0.020773 Loss_G: 0.011694 Loss_D_real: -0.027167 Loss_D_fake -0.006395
[1171/5000][225/535][120776] Loss_D: -0.021799 Loss_G: 0.001851 Loss_D_real: -0.007699 Loss_D_fake 0.014100
[1171/5000][230/535][120777] Loss_D: -0.020864 Loss_G: 0.002838 Loss_D_real: -0.016844 Loss_D_fake 0.004020
[1171/5000][235/535][120778] Loss_D: -0.020236 Loss_G: 0.003134 Loss_D_real: -0.020826 Loss_D_fake -0.000590
[1171/5000][240/535][120779] Loss_D: -0.016892 Loss_G: 0.036297 Loss_D_real: -0.037678 Loss_D_fake -0.020786
[1171/5000][245/535][120780] Loss_D: -0.020363 Loss_G: -0.010530 Loss_D_real: -0.016395 Loss_D_fake 0.003968
[1171/5000][250/535][120781] Loss_D: -0.019962 Loss_G: 0.011177 Loss_D_real: -0.026924 Loss_D_fake -0.006962
[1171/5000][255/535][120782] Loss_D: -0.020715 Loss_G: 0.001512 Loss_D_real: -0.015818 Loss_D_fake 0.004897
[1171/5000][260/535][120783] Loss_D: -0.020715 Loss_G: 0.008601 Loss_D_real: -0.034621 Loss_D_fake -0.013906
[1171/5000][265/535][120784] Loss_D: -0.022175 Loss_G: 0.014039 Loss_D_real: -0.000985 Loss_D_fake 0.021189
[1171/5000][270/535][120785] Loss_D: -0.020170 Loss_G: -0.008968 Loss_D_real: -0.006159 Loss_D_fake 0.014011
[1171/5000][275/535][120786] Loss_D: -0.020544 Loss_G: -0.000069 Loss_D_real: -0.010364 Loss_D_fake 0.010180
[1171/5000][280/535][120787] Loss_D: -0.019950 Loss_G: 0.016139 Loss_D_real: -0.028063 Loss_D_fake -0.008112
[1171/5000][285/535][120788] Loss_D: -0.019846 Loss_G: 0.019856 Loss_D_real: -0.018507 Loss_D_fake 0.001339
[1171/5000][290/535][120789] Loss_D: -0.021025 Loss_G: 0.011466 Loss_D_real: -0.021365 Loss_D_fake -0.000340
[1171/5000][295/535][120790] Loss_D: -0.019911 Loss_G: 0.025270 Loss_D_real: -0.025209 Loss_D_fake -0.005298
[1171/5000][300/535][120791] Loss_D: -0.020848 Loss_G: 0.001239 Loss_D_real: -0.012861 Loss_D_fake 0.007987
[1171/5000][305/535][120792] Loss_D: -0.021322 Loss_G: 0.012409 Loss_D_real: -0.034413 Loss_D_fake -0.013091
[1171/5000][310/535][120793] Loss_D: -0.021614 Loss_G: 0.024770 Loss_D_real: -0.019178 Loss_D_fake 0.002436
[1171/5000][315/535][120794] Loss_D: -0.021376 Loss_G: 0.008474 Loss_D_real: -0.023080 Loss_D_fake -0.001705
[1171/5000][320/535][120795] Loss_D: -0.021548 Loss_G: -0.000789 Loss_D_real: -0.019742 Loss_D_fake 0.001806
[1171/5000][325/535][120796] Loss_D: -0.021273 Loss_G: 0.001737 Loss_D_real: -0.014009 Loss_D_fake 0.007263
[1171/5000][330/535][120797] Loss_D: -0.020564 Loss_G: 0.017532 Loss_D_real: -0.027931 Loss_D_fake -0.007367
[1171/5000][335/535][120798] Loss_D: -0.020222 Loss_G: 0.002133 Loss_D_real: -0.004651 Loss_D_fake 0.015572
[1171/5000][340/535][120799] Loss_D: -0.021253 Loss_G: 0.010767 Loss_D_real: -0.025779 Loss_D_fake -0.004527
[1171/5000][345/535][120800] Loss_D: -0.020903 Loss_G: -0.009101 Loss_D_real: -0.003873 Loss_D_fake 0.017030
[1171/5000][350/535][120801] Loss_D: -0.022524 Loss_G: 0.004451 Loss_D_real: -0.010766 Loss_D_fake 0.011758
[1171/5000][355/535][120802] Loss_D: -0.022062 Loss_G: 0.010259 Loss_D_real: -0.008416 Loss_D_fake 0.013647
[1171/5000][360/535][120803] Loss_D: -0.021552 Loss_G: 0.006969 Loss_D_real: -0.022422 Loss_D_fake -0.000869
[1171/5000][365/535][120804] Loss_D: -0.020833 Loss_G: 0.005877 Loss_D_real: -0.006056 Loss_D_fake 0.014777
[1171/5000][370/535][120805] Loss_D: -0.020619 Loss_G: 0.009258 Loss_D_real: -0.022943 Loss_D_fake -0.002324
[1171/5000][375/535][120806] Loss_D: -0.021613 Loss_G: 0.014786 Loss_D_real: -0.020190 Loss_D_fake 0.001422
[1171/5000][380/535][120807] Loss_D: -0.020078 Loss_G: -0.010010 Loss_D_real: -0.016360 Loss_D_fake 0.003718
[1171/5000][385/535][120808] Loss_D: -0.020299 Loss_G: 0.017297 Loss_D_real: -0.027187 Loss_D_fake -0.006887
[1171/5000][390/535][120809] Loss_D: -0.020837 Loss_G: 0.008457 Loss_D_real: -0.020419 Loss_D_fake 0.000417
[1171/5000][395/535][120810] Loss_D: -0.021215 Loss_G: 0.009829 Loss_D_real: -0.021629 Loss_D_fake -0.000414
[1171/5000][400/535][120811] Loss_D: -0.019457 Loss_G: 0.020265 Loss_D_real: -0.018392 Loss_D_fake 0.001065
[1171/5000][405/535][120812] Loss_D: -0.020105 Loss_G: 0.013901 Loss_D_real: -0.020993 Loss_D_fake -0.000888
[1171/5000][410/535][120813] Loss_D: -0.021073 Loss_G: 0.004345 Loss_D_real: -0.018573 Loss_D_fake 0.002499
[1171/5000][415/535][120814] Loss_D: -0.020287 Loss_G: 0.008898 Loss_D_real: -0.013281 Loss_D_fake 0.007007
[1171/5000][420/535][120815] Loss_D: -0.020219 Loss_G: 0.001434 Loss_D_real: -0.011741 Loss_D_fake 0.008478
[1171/5000][425/535][120816] Loss_D: -0.019410 Loss_G: 0.007492 Loss_D_real: -0.017245 Loss_D_fake 0.002166
[1171/5000][430/535][120817] Loss_D: -0.020286 Loss_G: 0.022234 Loss_D_real: -0.025087 Loss_D_fake -0.004801
[1171/5000][435/535][120818] Loss_D: -0.020850 Loss_G: 0.000644 Loss_D_real: -0.014862 Loss_D_fake 0.005988
[1171/5000][440/535][120819] Loss_D: -0.020680 Loss_G: 0.004276 Loss_D_real: -0.025385 Loss_D_fake -0.004704
[1171/5000][445/535][120820] Loss_D: -0.019532 Loss_G: -0.014940 Loss_D_real: -0.001501 Loss_D_fake 0.018031
[1171/5000][450/535][120821] Loss_D: -0.019205 Loss_G: -0.005026 Loss_D_real: -0.005622 Loss_D_fake 0.013583
[1171/5000][455/535][120822] Loss_D: -0.020971 Loss_G: 0.011042 Loss_D_real: -0.025871 Loss_D_fake -0.004900
[1171/5000][460/535][120823] Loss_D: -0.021419 Loss_G: 0.012932 Loss_D_real: -0.015342 Loss_D_fake 0.006077
[1171/5000][465/535][120824] Loss_D: -0.020550 Loss_G: 0.010564 Loss_D_real: -0.021810 Loss_D_fake -0.001260
[1171/5000][470/535][120825] Loss_D: -0.020803 Loss_G: 0.008536 Loss_D_real: -0.003723 Loss_D_fake 0.017080
[1171/5000][475/535][120826] Loss_D: -0.017917 Loss_G: 0.020730 Loss_D_real: -0.036208 Loss_D_fake -0.018291
[1171/5000][480/535][120827] Loss_D: -0.020720 Loss_G: -0.014958 Loss_D_real: -0.011887 Loss_D_fake 0.008833
[1171/5000][485/535][120828] Loss_D: -0.020565 Loss_G: 0.011613 Loss_D_real: -0.029252 Loss_D_fake -0.008687
[1171/5000][490/535][120829] Loss_D: -0.021816 Loss_G: 0.008385 Loss_D_real: -0.009504 Loss_D_fake 0.012312
[1171/5000][495/535][120830] Loss_D: -0.020796 Loss_G: 0.011864 Loss_D_real: -0.018884 Loss_D_fake 0.001911
[1171/5000][500/535][120831] Loss_D: -0.021027 Loss_G: -0.002763 Loss_D_real: -0.016544 Loss_D_fake 0.004483
[1171/5000][505/535][120832] Loss_D: -0.019275 Loss_G: 0.020178 Loss_D_real: -0.022228 Loss_D_fake -0.002953
[1171/5000][510/535][120833] Loss_D: -0.021147 Loss_G: 0.013277 Loss_D_real: -0.018855 Loss_D_fake 0.002293
[1171/5000][515/535][120834] Loss_D: -0.021869 Loss_G: 0.009469 Loss_D_real: -0.025776 Loss_D_fake -0.003907
[1171/5000][520/535][120835] Loss_D: -0.021635 Loss_G: 0.008515 Loss_D_real: -0.024044 Loss_D_fake -0.002408
[1171/5000][525/535][120836] Loss_D: -0.021219 Loss_G: 0.000362 Loss_D_real: -0.012287 Loss_D_fake 0.008932
[1171/5000][530/535][120837] Loss_D: -0.021551 Loss_G: 0.015035 Loss_D_real: -0.012018 Loss_D_fake 0.009533
[1171/5000][535/535][120838] Loss_D: -0.021345 Loss_G: 0.007902 Loss_D_real: -0.015589 Loss_D_fake 0.005756
[1172/5000][5/535][120839] Loss_D: -0.022495 Loss_G: 0.000639 Loss_D_real: -0.014246 Loss_D_fake 0.008250
[1172/5000][10/535][120840] Loss_D: -0.019810 Loss_G: 0.025009 Loss_D_real: -0.036222 Loss_D_fake -0.016413
[1172/5000][15/535][120841] Loss_D: -0.021711 Loss_G: 0.011887 Loss_D_real: -0.019497 Loss_D_fake 0.002214
[1172/5000][20/535][120842] Loss_D: -0.019105 Loss_G: 0.014058 Loss_D_real: -0.023423 Loss_D_fake -0.004318
[1172/5000][25/535][120843] Loss_D: -0.021941 Loss_G: 0.012036 Loss_D_real: -0.015951 Loss_D_fake 0.005990
[1172/5000][30/535][120844] Loss_D: -0.019963 Loss_G: 0.003910 Loss_D_real: -0.010442 Loss_D_fake 0.009521
[1172/5000][35/535][120845] Loss_D: -0.021721 Loss_G: -0.004668 Loss_D_real: -0.026517 Loss_D_fake -0.004796
[1172/5000][40/535][120846] Loss_D: -0.021381 Loss_G: 0.003454 Loss_D_real: -0.014237 Loss_D_fake 0.007144
[1172/5000][45/535][120847] Loss_D: -0.020483 Loss_G: -0.015485 Loss_D_real: -0.009426 Loss_D_fake 0.011057
[1172/5000][50/535][120848] Loss_D: -0.020990 Loss_G: 0.005187 Loss_D_real: -0.021616 Loss_D_fake -0.000626
[1172/5000][55/535][120849] Loss_D: -0.020001 Loss_G: 0.004829 Loss_D_real: -0.011276 Loss_D_fake 0.008725
[1172/5000][60/535][120850] Loss_D: -0.022004 Loss_G: 0.009299 Loss_D_real: -0.012121 Loss_D_fake 0.009883
[1172/5000][65/535][120851] Loss_D: -0.021741 Loss_G: 0.015948 Loss_D_real: -0.019813 Loss_D_fake 0.001928
[1172/5000][70/535][120852] Loss_D: -0.019201 Loss_G: 0.014223 Loss_D_real: -0.023973 Loss_D_fake -0.004772
[1172/5000][75/535][120853] Loss_D: -0.019498 Loss_G: 0.022950 Loss_D_real: -0.029495 Loss_D_fake -0.009997
[1172/5000][80/535][120854] Loss_D: -0.020376 Loss_G: 0.001922 Loss_D_real: -0.002532 Loss_D_fake 0.017844
[1172/5000][85/535][120855] Loss_D: -0.020656 Loss_G: 0.023524 Loss_D_real: -0.028440 Loss_D_fake -0.007784
[1172/5000][90/535][120856] Loss_D: -0.022026 Loss_G: 0.006055 Loss_D_real: -0.026729 Loss_D_fake -0.004703
[1172/5000][95/535][120857] Loss_D: -0.019781 Loss_G: 0.016854 Loss_D_real: -0.017624 Loss_D_fake 0.002158
[1172/5000][100/535][120858] Loss_D: -0.022269 Loss_G: -0.011303 Loss_D_real: -0.020789 Loss_D_fake 0.001480
[1172/5000][105/535][120859] Loss_D: -0.021063 Loss_G: 0.005413 Loss_D_real: -0.010635 Loss_D_fake 0.010429
[1172/5000][110/535][120860] Loss_D: -0.021735 Loss_G: -0.000394 Loss_D_real: -0.006960 Loss_D_fake 0.014774
[1172/5000][115/535][120861] Loss_D: -0.019854 Loss_G: 0.018668 Loss_D_real: -0.028131 Loss_D_fake -0.008277
[1172/5000][120/535][120862] Loss_D: -0.020068 Loss_G: 0.023373 Loss_D_real: -0.027284 Loss_D_fake -0.007216
[1172/5000][125/535][120863] Loss_D: -0.021585 Loss_G: 0.002238 Loss_D_real: -0.017929 Loss_D_fake 0.003656
[1172/5000][130/535][120864] Loss_D: -0.019960 Loss_G: 0.019303 Loss_D_real: -0.022005 Loss_D_fake -0.002045
[1172/5000][135/535][120865] Loss_D: -0.018277 Loss_G: -0.021494 Loss_D_real: 0.010941 Loss_D_fake 0.029217
[1172/5000][140/535][120866] Loss_D: -0.019918 Loss_G: 0.002617 Loss_D_real: -0.011670 Loss_D_fake 0.008247
[1172/5000][145/535][120867] Loss_D: -0.019784 Loss_G: -0.018730 Loss_D_real: 0.001804 Loss_D_fake 0.021587
[1172/5000][150/535][120868] Loss_D: -0.019614 Loss_G: 0.016155 Loss_D_real: -0.025179 Loss_D_fake -0.005565
[1172/5000][155/535][120869] Loss_D: -0.021981 Loss_G: -0.003927 Loss_D_real: -0.015594 Loss_D_fake 0.006387
[1172/5000][160/535][120870] Loss_D: -0.021193 Loss_G: 0.009055 Loss_D_real: -0.018461 Loss_D_fake 0.002732
[1172/5000][165/535][120871] Loss_D: -0.020147 Loss_G: -0.007532 Loss_D_real: 0.001642 Loss_D_fake 0.021789
[1172/5000][170/535][120872] Loss_D: -0.020546 Loss_G: 0.018350 Loss_D_real: -0.019126 Loss_D_fake 0.001420
[1172/5000][175/535][120873] Loss_D: -0.022631 Loss_G: -0.002798 Loss_D_real: -0.010211 Loss_D_fake 0.012420
[1172/5000][180/535][120874] Loss_D: -0.019237 Loss_G: -0.000136 Loss_D_real: -0.022131 Loss_D_fake -0.002894
[1172/5000][185/535][120875] Loss_D: -0.019922 Loss_G: 0.020784 Loss_D_real: -0.025994 Loss_D_fake -0.006072
[1172/5000][190/535][120876] Loss_D: -0.019998 Loss_G: 0.022438 Loss_D_real: -0.028403 Loss_D_fake -0.008405
[1172/5000][195/535][120877] Loss_D: -0.020673 Loss_G: 0.007813 Loss_D_real: -0.016487 Loss_D_fake 0.004187
[1172/5000][200/535][120878] Loss_D: -0.019702 Loss_G: 0.001749 Loss_D_real: -0.004521 Loss_D_fake 0.015182
[1172/5000][205/535][120879] Loss_D: -0.020495 Loss_G: 0.011565 Loss_D_real: -0.025013 Loss_D_fake -0.004518
[1172/5000][210/535][120880] Loss_D: -0.019229 Loss_G: -0.010210 Loss_D_real: 0.001220 Loss_D_fake 0.020449
[1172/5000][215/535][120881] Loss_D: -0.020387 Loss_G: 0.003424 Loss_D_real: -0.014299 Loss_D_fake 0.006088
[1172/5000][220/535][120882] Loss_D: -0.020391 Loss_G: -0.020823 Loss_D_real: -0.007787 Loss_D_fake 0.012604
[1172/5000][225/535][120883] Loss_D: -0.019191 Loss_G: 0.023992 Loss_D_real: -0.023379 Loss_D_fake -0.004188
[1172/5000][230/535][120884] Loss_D: -0.019199 Loss_G: 0.031443 Loss_D_real: -0.027532 Loss_D_fake -0.008333
[1172/5000][235/535][120885] Loss_D: -0.021099 Loss_G: -0.000347 Loss_D_real: -0.015118 Loss_D_fake 0.005982
[1172/5000][240/535][120886] Loss_D: -0.020441 Loss_G: 0.020436 Loss_D_real: -0.034044 Loss_D_fake -0.013603
[1172/5000][245/535][120887] Loss_D: -0.022081 Loss_G: 0.008385 Loss_D_real: -0.021047 Loss_D_fake 0.001035
[1172/5000][250/535][120888] Loss_D: -0.021796 Loss_G: 0.006841 Loss_D_real: -0.012384 Loss_D_fake 0.009412
[1172/5000][255/535][120889] Loss_D: -0.020057 Loss_G: -0.012902 Loss_D_real: -0.001129 Loss_D_fake 0.018928
[1172/5000][260/535][120890] Loss_D: -0.020391 Loss_G: -0.007846 Loss_D_real: -0.012026 Loss_D_fake 0.008364
[1172/5000][265/535][120891] Loss_D: -0.020858 Loss_G: -0.006686 Loss_D_real: -0.008111 Loss_D_fake 0.012748
[1172/5000][270/535][120892] Loss_D: -0.021685 Loss_G: 0.000559 Loss_D_real: -0.012779 Loss_D_fake 0.008906
[1172/5000][275/535][120893] Loss_D: -0.019988 Loss_G: -0.002402 Loss_D_real: -0.007518 Loss_D_fake 0.012469
[1172/5000][280/535][120894] Loss_D: -0.020615 Loss_G: 0.007447 Loss_D_real: -0.021557 Loss_D_fake -0.000942
[1172/5000][285/535][120895] Loss_D: -0.020177 Loss_G: 0.021665 Loss_D_real: -0.029982 Loss_D_fake -0.009805
[1172/5000][290/535][120896] Loss_D: -0.020889 Loss_G: 0.001969 Loss_D_real: -0.003647 Loss_D_fake 0.017241
[1172/5000][295/535][120897] Loss_D: -0.022681 Loss_G: 0.000427 Loss_D_real: -0.017113 Loss_D_fake 0.005568
[1172/5000][300/535][120898] Loss_D: -0.020596 Loss_G: 0.015621 Loss_D_real: -0.019490 Loss_D_fake 0.001106
[1172/5000][305/535][120899] Loss_D: -0.019925 Loss_G: 0.020027 Loss_D_real: -0.029578 Loss_D_fake -0.009653
[1172/5000][310/535][120900] Loss_D: -0.021153 Loss_G: -0.003276 Loss_D_real: -0.019690 Loss_D_fake 0.001464
[1172/5000][315/535][120901] Loss_D: -0.020441 Loss_G: 0.000183 Loss_D_real: -0.003605 Loss_D_fake 0.016836
[1172/5000][320/535][120902] Loss_D: -0.019523 Loss_G: -0.000021 Loss_D_real: -0.006524 Loss_D_fake 0.012999
[1172/5000][325/535][120903] Loss_D: -0.021353 Loss_G: -0.005736 Loss_D_real: -0.017357 Loss_D_fake 0.003996
[1172/5000][330/535][120904] Loss_D: -0.020502 Loss_G: -0.002511 Loss_D_real: -0.022291 Loss_D_fake -0.001789
[1172/5000][335/535][120905] Loss_D: -0.021486 Loss_G: 0.015866 Loss_D_real: -0.031955 Loss_D_fake -0.010469
[1172/5000][340/535][120906] Loss_D: -0.021362 Loss_G: 0.000012 Loss_D_real: -0.016467 Loss_D_fake 0.004894
[1172/5000][345/535][120907] Loss_D: -0.020471 Loss_G: 0.013245 Loss_D_real: -0.024138 Loss_D_fake -0.003667
[1172/5000][350/535][120908] Loss_D: -0.021922 Loss_G: 0.004045 Loss_D_real: -0.002351 Loss_D_fake 0.019571
[1172/5000][355/535][120909] Loss_D: -0.020720 Loss_G: -0.002055 Loss_D_real: -0.007913 Loss_D_fake 0.012807
[1172/5000][360/535][120910] Loss_D: -0.021577 Loss_G: -0.002671 Loss_D_real: -0.013522 Loss_D_fake 0.008056
[1172/5000][365/535][120911] Loss_D: -0.022733 Loss_G: 0.007956 Loss_D_real: -0.020471 Loss_D_fake 0.002262
[1172/5000][370/535][120912] Loss_D: -0.019885 Loss_G: -0.003069 Loss_D_real: -0.003033 Loss_D_fake 0.016852
[1172/5000][375/535][120913] Loss_D: -0.021200 Loss_G: 0.019458 Loss_D_real: -0.024184 Loss_D_fake -0.002984
[1172/5000][380/535][120914] Loss_D: -0.022796 Loss_G: -0.002738 Loss_D_real: -0.015637 Loss_D_fake 0.007159
[1172/5000][385/535][120915] Loss_D: -0.020537 Loss_G: 0.013157 Loss_D_real: -0.018780 Loss_D_fake 0.001757
[1172/5000][390/535][120916] Loss_D: -0.021163 Loss_G: -0.000111 Loss_D_real: -0.005715 Loss_D_fake 0.015449
[1172/5000][395/535][120917] Loss_D: -0.021192 Loss_G: 0.018188 Loss_D_real: -0.023724 Loss_D_fake -0.002532
[1172/5000][400/535][120918] Loss_D: -0.020789 Loss_G: -0.002930 Loss_D_real: -0.012956 Loss_D_fake 0.007833
[1172/5000][405/535][120919] Loss_D: -0.020615 Loss_G: 0.020118 Loss_D_real: -0.015343 Loss_D_fake 0.005272
[1172/5000][410/535][120920] Loss_D: -0.020124 Loss_G: 0.004509 Loss_D_real: -0.018953 Loss_D_fake 0.001171
[1172/5000][415/535][120921] Loss_D: -0.020385 Loss_G: -0.007143 Loss_D_real: -0.022070 Loss_D_fake -0.001686
[1172/5000][420/535][120922] Loss_D: -0.020395 Loss_G: 0.028633 Loss_D_real: -0.032302 Loss_D_fake -0.011907
[1172/5000][425/535][120923] Loss_D: -0.021252 Loss_G: -0.012544 Loss_D_real: -0.010269 Loss_D_fake 0.010984
[1172/5000][430/535][120924] Loss_D: -0.019611 Loss_G: 0.002560 Loss_D_real: -0.003783 Loss_D_fake 0.015828
[1172/5000][435/535][120925] Loss_D: -0.021639 Loss_G: -0.004081 Loss_D_real: -0.017814 Loss_D_fake 0.003825
[1172/5000][440/535][120926] Loss_D: -0.021860 Loss_G: 0.002466 Loss_D_real: -0.010302 Loss_D_fake 0.011558
[1172/5000][445/535][120927] Loss_D: -0.021237 Loss_G: 0.021001 Loss_D_real: -0.024622 Loss_D_fake -0.003384
[1172/5000][450/535][120928] Loss_D: -0.020327 Loss_G: 0.011216 Loss_D_real: -0.013102 Loss_D_fake 0.007225
[1172/5000][455/535][120929] Loss_D: -0.020823 Loss_G: -0.001080 Loss_D_real: -0.024610 Loss_D_fake -0.003786
[1172/5000][460/535][120930] Loss_D: -0.022061 Loss_G: 0.009713 Loss_D_real: -0.017129 Loss_D_fake 0.004932
[1172/5000][465/535][120931] Loss_D: -0.020323 Loss_G: 0.000837 Loss_D_real: -0.003505 Loss_D_fake 0.016819
[1172/5000][470/535][120932] Loss_D: -0.020153 Loss_G: 0.009658 Loss_D_real: -0.011722 Loss_D_fake 0.008431
[1172/5000][475/535][120933] Loss_D: -0.019892 Loss_G: 0.026526 Loss_D_real: -0.027770 Loss_D_fake -0.007878
[1172/5000][480/535][120934] Loss_D: -0.020896 Loss_G: 0.009735 Loss_D_real: -0.009605 Loss_D_fake 0.011292
[1172/5000][485/535][120935] Loss_D: -0.019043 Loss_G: -0.005179 Loss_D_real: -0.008627 Loss_D_fake 0.010416
[1172/5000][490/535][120936] Loss_D: -0.021643 Loss_G: 0.013348 Loss_D_real: -0.021663 Loss_D_fake -0.000021
[1172/5000][495/535][120937] Loss_D: -0.021440 Loss_G: -0.005605 Loss_D_real: -0.005761 Loss_D_fake 0.015679
[1172/5000][500/535][120938] Loss_D: -0.021350 Loss_G: 0.014010 Loss_D_real: -0.019719 Loss_D_fake 0.001631
[1172/5000][505/535][120939] Loss_D: -0.020801 Loss_G: -0.006637 Loss_D_real: -0.003557 Loss_D_fake 0.017244
[1172/5000][510/535][120940] Loss_D: -0.020929 Loss_G: 0.014516 Loss_D_real: -0.016617 Loss_D_fake 0.004313
[1172/5000][515/535][120941] Loss_D: -0.021648 Loss_G: 0.006043 Loss_D_real: -0.020160 Loss_D_fake 0.001489
[1172/5000][520/535][120942] Loss_D: -0.021238 Loss_G: 0.005641 Loss_D_real: -0.025469 Loss_D_fake -0.004232
[1172/5000][525/535][120943] Loss_D: -0.021095 Loss_G: 0.017921 Loss_D_real: -0.023372 Loss_D_fake -0.002277
[1172/5000][530/535][120944] Loss_D: -0.020647 Loss_G: 0.001837 Loss_D_real: -0.021293 Loss_D_fake -0.000645
[1172/5000][535/535][120945] Loss_D: -0.021778 Loss_G: 0.012192 Loss_D_real: -0.038046 Loss_D_fake -0.016268
[1173/5000][5/535][120946] Loss_D: -0.020361 Loss_G: 0.020476 Loss_D_real: -0.018356 Loss_D_fake 0.002005
[1173/5000][10/535][120947] Loss_D: -0.019973 Loss_G: -0.007066 Loss_D_real: -0.010099 Loss_D_fake 0.009875
[1173/5000][15/535][120948] Loss_D: -0.020446 Loss_G: -0.002252 Loss_D_real: -0.007894 Loss_D_fake 0.012552
[1173/5000][20/535][120949] Loss_D: -0.019814 Loss_G: 0.000309 Loss_D_real: -0.002303 Loss_D_fake 0.017511
[1173/5000][25/535][120950] Loss_D: -0.019266 Loss_G: 0.010691 Loss_D_real: -0.036373 Loss_D_fake -0.017107
[1173/5000][30/535][120951] Loss_D: -0.021931 Loss_G: 0.022666 Loss_D_real: -0.021527 Loss_D_fake 0.000405
[1173/5000][35/535][120952] Loss_D: -0.020475 Loss_G: 0.006046 Loss_D_real: -0.024155 Loss_D_fake -0.003680
[1173/5000][40/535][120953] Loss_D: -0.021161 Loss_G: -0.009453 Loss_D_real: -0.002688 Loss_D_fake 0.018474
[1173/5000][45/535][120954] Loss_D: -0.019808 Loss_G: 0.008717 Loss_D_real: -0.020214 Loss_D_fake -0.000405
[1173/5000][50/535][120955] Loss_D: -0.021865 Loss_G: 0.007677 Loss_D_real: -0.018843 Loss_D_fake 0.003021
[1173/5000][55/535][120956] Loss_D: -0.021159 Loss_G: 0.013652 Loss_D_real: -0.030717 Loss_D_fake -0.009558
[1173/5000][60/535][120957] Loss_D: -0.021441 Loss_G: -0.008755 Loss_D_real: -0.005998 Loss_D_fake 0.015442
[1173/5000][65/535][120958] Loss_D: -0.021043 Loss_G: 0.010118 Loss_D_real: -0.012103 Loss_D_fake 0.008940
[1173/5000][70/535][120959] Loss_D: -0.020213 Loss_G: -0.005889 Loss_D_real: -0.008179 Loss_D_fake 0.012034
[1173/5000][75/535][120960] Loss_D: -0.020381 Loss_G: -0.011112 Loss_D_real: -0.007371 Loss_D_fake 0.013011
[1173/5000][80/535][120961] Loss_D: -0.020023 Loss_G: 0.014896 Loss_D_real: -0.030633 Loss_D_fake -0.010610
[1173/5000][85/535][120962] Loss_D: -0.019900 Loss_G: 0.018355 Loss_D_real: -0.028320 Loss_D_fake -0.008419
[1173/5000][90/535][120963] Loss_D: -0.020612 Loss_G: 0.008006 Loss_D_real: -0.015324 Loss_D_fake 0.005288
[1173/5000][95/535][120964] Loss_D: -0.020738 Loss_G: 0.014685 Loss_D_real: -0.023295 Loss_D_fake -0.002558
[1173/5000][100/535][120965] Loss_D: -0.020152 Loss_G: -0.005477 Loss_D_real: -0.004928 Loss_D_fake 0.015224
[1173/5000][105/535][120966] Loss_D: -0.019637 Loss_G: 0.020707 Loss_D_real: -0.029220 Loss_D_fake -0.009584
[1173/5000][110/535][120967] Loss_D: -0.021279 Loss_G: 0.002512 Loss_D_real: -0.024241 Loss_D_fake -0.002962
[1173/5000][115/535][120968] Loss_D: -0.021845 Loss_G: 0.000682 Loss_D_real: -0.011170 Loss_D_fake 0.010675
[1173/5000][120/535][120969] Loss_D: -0.020173 Loss_G: -0.003099 Loss_D_real: -0.009809 Loss_D_fake 0.010364
[1173/5000][125/535][120970] Loss_D: -0.021647 Loss_G: -0.004711 Loss_D_real: -0.005774 Loss_D_fake 0.015873
[1173/5000][130/535][120971] Loss_D: -0.020726 Loss_G: 0.010576 Loss_D_real: -0.003946 Loss_D_fake 0.016780
[1173/5000][135/535][120972] Loss_D: -0.020580 Loss_G: 0.003038 Loss_D_real: -0.014682 Loss_D_fake 0.005897
[1173/5000][140/535][120973] Loss_D: -0.020721 Loss_G: 0.009365 Loss_D_real: -0.017984 Loss_D_fake 0.002738
[1173/5000][145/535][120974] Loss_D: -0.020302 Loss_G: 0.020571 Loss_D_real: -0.037097 Loss_D_fake -0.016795
[1173/5000][150/535][120975] Loss_D: -0.020209 Loss_G: 0.005900 Loss_D_real: -0.022505 Loss_D_fake -0.002296
[1173/5000][155/535][120976] Loss_D: -0.021221 Loss_G: 0.001592 Loss_D_real: -0.003256 Loss_D_fake 0.017966
[1173/5000][160/535][120977] Loss_D: -0.020006 Loss_G: 0.001835 Loss_D_real: -0.009661 Loss_D_fake 0.010344
[1173/5000][165/535][120978] Loss_D: -0.019346 Loss_G: 0.026079 Loss_D_real: -0.033167 Loss_D_fake -0.013821
[1173/5000][170/535][120979] Loss_D: -0.020192 Loss_G: 0.010270 Loss_D_real: -0.024531 Loss_D_fake -0.004340
[1173/5000][175/535][120980] Loss_D: -0.020950 Loss_G: 0.012832 Loss_D_real: -0.016905 Loss_D_fake 0.004045
[1173/5000][180/535][120981] Loss_D: -0.020848 Loss_G: 0.007756 Loss_D_real: -0.028340 Loss_D_fake -0.007491
[1173/5000][185/535][120982] Loss_D: -0.021269 Loss_G: 0.014823 Loss_D_real: -0.020273 Loss_D_fake 0.000996
[1173/5000][190/535][120983] Loss_D: -0.021277 Loss_G: 0.023614 Loss_D_real: -0.038890 Loss_D_fake -0.017614
[1173/5000][195/535][120984] Loss_D: -0.021317 Loss_G: 0.004079 Loss_D_real: -0.019808 Loss_D_fake 0.001509
[1173/5000][200/535][120985] Loss_D: -0.020540 Loss_G: 0.014027 Loss_D_real: -0.020351 Loss_D_fake 0.000190
[1173/5000][205/535][120986] Loss_D: -0.021927 Loss_G: 0.008257 Loss_D_real: -0.021371 Loss_D_fake 0.000555
[1173/5000][210/535][120987] Loss_D: -0.020045 Loss_G: -0.008715 Loss_D_real: -0.012166 Loss_D_fake 0.007879
[1173/5000][215/535][120988] Loss_D: -0.020667 Loss_G: 0.030226 Loss_D_real: -0.033445 Loss_D_fake -0.012778
[1173/5000][220/535][120989] Loss_D: -0.020467 Loss_G: 0.007073 Loss_D_real: -0.023575 Loss_D_fake -0.003108
[1173/5000][225/535][120990] Loss_D: -0.021138 Loss_G: -0.007265 Loss_D_real: -0.008872 Loss_D_fake 0.012266
[1173/5000][230/535][120991] Loss_D: -0.019787 Loss_G: 0.027279 Loss_D_real: -0.025873 Loss_D_fake -0.006086
[1173/5000][235/535][120992] Loss_D: -0.021003 Loss_G: -0.005375 Loss_D_real: -0.017018 Loss_D_fake 0.003986
[1173/5000][240/535][120993] Loss_D: -0.020478 Loss_G: 0.006171 Loss_D_real: -0.010236 Loss_D_fake 0.010243
[1173/5000][245/535][120994] Loss_D: -0.019784 Loss_G: -0.007920 Loss_D_real: -0.002648 Loss_D_fake 0.017136
[1173/5000][250/535][120995] Loss_D: -0.020376 Loss_G: 0.007881 Loss_D_real: -0.019450 Loss_D_fake 0.000926
[1173/5000][255/535][120996] Loss_D: -0.020273 Loss_G: 0.020308 Loss_D_real: -0.040559 Loss_D_fake -0.020286
[1173/5000][260/535][120997] Loss_D: -0.022346 Loss_G: -0.007067 Loss_D_real: -0.013836 Loss_D_fake 0.008510
[1173/5000][265/535][120998] Loss_D: -0.019851 Loss_G: -0.006770 Loss_D_real: 0.001728 Loss_D_fake 0.021579
[1173/5000][270/535][120999] Loss_D: -0.020952 Loss_G: 0.014954 Loss_D_real: -0.019582 Loss_D_fake 0.001370
[1173/5000][275/535][121000] Loss_D: -0.021475 Loss_G: -0.001367 Loss_D_real: -0.006420 Loss_D_fake 0.015055
[1173/5000][375/535][121001] Loss_D: -0.022206 Loss_G: -0.002873 Loss_D_real: 0.000052 Loss_D_fake 0.022257
[1173/5000][380/535][121002] Loss_D: -0.023021 Loss_G: -0.003136 Loss_D_real: -0.002564 Loss_D_fake 0.020457
[1173/5000][385/535][121003] Loss_D: -0.018620 Loss_G: 0.010850 Loss_D_real: -0.021683 Loss_D_fake -0.003063
[1173/5000][390/535][121004] Loss_D: -0.019756 Loss_G: 0.016825 Loss_D_real: -0.024954 Loss_D_fake -0.005197
[1173/5000][395/535][121005] Loss_D: -0.020076 Loss_G: -0.000800 Loss_D_real: -0.015617 Loss_D_fake 0.004459
[1173/5000][400/535][121006] Loss_D: -0.019510 Loss_G: 0.013729 Loss_D_real: -0.023189 Loss_D_fake -0.003679
[1173/5000][405/535][121007] Loss_D: -0.018433 Loss_G: 0.016934 Loss_D_real: -0.031033 Loss_D_fake -0.012600
[1173/5000][410/535][121008] Loss_D: -0.019401 Loss_G: -0.002687 Loss_D_real: -0.010741 Loss_D_fake 0.008660
[1173/5000][415/535][121009] Loss_D: -0.018963 Loss_G: 0.016547 Loss_D_real: -0.026130 Loss_D_fake -0.007166
[1173/5000][420/535][121010] Loss_D: -0.020905 Loss_G: -0.008628 Loss_D_real: -0.012164 Loss_D_fake 0.008742
[1173/5000][425/535][121011] Loss_D: -0.018444 Loss_G: -0.016159 Loss_D_real: -0.002490 Loss_D_fake 0.015954
[1173/5000][430/535][121012] Loss_D: -0.019086 Loss_G: 0.020580 Loss_D_real: -0.031513 Loss_D_fake -0.012427
[1173/5000][435/535][121013] Loss_D: -0.020315 Loss_G: 0.007975 Loss_D_real: -0.025784 Loss_D_fake -0.005469
[1173/5000][440/535][121014] Loss_D: -0.019891 Loss_G: 0.015263 Loss_D_real: -0.030491 Loss_D_fake -0.010601
[1173/5000][445/535][121015] Loss_D: -0.020154 Loss_G: 0.013563 Loss_D_real: -0.026593 Loss_D_fake -0.006439
[1173/5000][450/535][121016] Loss_D: -0.020925 Loss_G: 0.013451 Loss_D_real: -0.024805 Loss_D_fake -0.003880
[1173/5000][455/535][121017] Loss_D: -0.020213 Loss_G: 0.017814 Loss_D_real: -0.025681 Loss_D_fake -0.005467
[1173/5000][460/535][121018] Loss_D: -0.021500 Loss_G: -0.013178 Loss_D_real: -0.009867 Loss_D_fake 0.011633
[1173/5000][465/535][121019] Loss_D: -0.020345 Loss_G: 0.023592 Loss_D_real: -0.030729 Loss_D_fake -0.010384
[1173/5000][470/535][121020] Loss_D: -0.020082 Loss_G: 0.012265 Loss_D_real: -0.013833 Loss_D_fake 0.006250
[1173/5000][475/535][121021] Loss_D: -0.020494 Loss_G: 0.018902 Loss_D_real: -0.020066 Loss_D_fake 0.000428
[1173/5000][480/535][121022] Loss_D: -0.021318 Loss_G: 0.011799 Loss_D_real: -0.024580 Loss_D_fake -0.003262
[1173/5000][485/535][121023] Loss_D: -0.021309 Loss_G: 0.009284 Loss_D_real: -0.020078 Loss_D_fake 0.001231
[1173/5000][490/535][121024] Loss_D: -0.020173 Loss_G: 0.015706 Loss_D_real: -0.030288 Loss_D_fake -0.010115
[1173/5000][495/535][121025] Loss_D: -0.020721 Loss_G: 0.000611 Loss_D_real: -0.018732 Loss_D_fake 0.001989
[1173/5000][500/535][121026] Loss_D: -0.021037 Loss_G: 0.002199 Loss_D_real: -0.013668 Loss_D_fake 0.007369
[1173/5000][505/535][121027] Loss_D: -0.021193 Loss_G: 0.005830 Loss_D_real: -0.008295 Loss_D_fake 0.012898
[1173/5000][510/535][121028] Loss_D: -0.020611 Loss_G: 0.004620 Loss_D_real: -0.003204 Loss_D_fake 0.017408
[1173/5000][515/535][121029] Loss_D: -0.020893 Loss_G: -0.004738 Loss_D_real: -0.013042 Loss_D_fake 0.007852
[1173/5000][520/535][121030] Loss_D: -0.021560 Loss_G: 0.001018 Loss_D_real: -0.012153 Loss_D_fake 0.009407
[1173/5000][525/535][121031] Loss_D: -0.020702 Loss_G: 0.008734 Loss_D_real: -0.022329 Loss_D_fake -0.001626
[1173/5000][530/535][121032] Loss_D: -0.021028 Loss_G: 0.005681 Loss_D_real: -0.008703 Loss_D_fake 0.012325
[1173/5000][535/535][121033] Loss_D: -0.020020 Loss_G: 0.032493 Loss_D_real: -0.026851 Loss_D_fake -0.006831
[1174/5000][5/535][121034] Loss_D: -0.020937 Loss_G: -0.000157 Loss_D_real: -0.011378 Loss_D_fake 0.009559
[1174/5000][10/535][121035] Loss_D: -0.022667 Loss_G: 0.010512 Loss_D_real: -0.020049 Loss_D_fake 0.002618
[1174/5000][15/535][121036] Loss_D: -0.020988 Loss_G: -0.003497 Loss_D_real: -0.014412 Loss_D_fake 0.006576
[1174/5000][20/535][121037] Loss_D: -0.021721 Loss_G: 0.016667 Loss_D_real: -0.035352 Loss_D_fake -0.013630
[1174/5000][25/535][121038] Loss_D: -0.021154 Loss_G: 0.008127 Loss_D_real: -0.015251 Loss_D_fake 0.005903
[1174/5000][30/535][121039] Loss_D: -0.019827 Loss_G: 0.025635 Loss_D_real: -0.029878 Loss_D_fake -0.010051
[1174/5000][35/535][121040] Loss_D: -0.020497 Loss_G: 0.017461 Loss_D_real: -0.020037 Loss_D_fake 0.000459
[1174/5000][40/535][121041] Loss_D: -0.019661 Loss_G: 0.021435 Loss_D_real: -0.015287 Loss_D_fake 0.004374
[1174/5000][45/535][121042] Loss_D: -0.019696 Loss_G: -0.006872 Loss_D_real: 0.001812 Loss_D_fake 0.021508
[1174/5000][50/535][121043] Loss_D: -0.019558 Loss_G: 0.021964 Loss_D_real: -0.034232 Loss_D_fake -0.014674
[1174/5000][55/535][121044] Loss_D: -0.019612 Loss_G: 0.019738 Loss_D_real: -0.017182 Loss_D_fake 0.002430
[1174/5000][60/535][121045] Loss_D: -0.020413 Loss_G: 0.019704 Loss_D_real: -0.028896 Loss_D_fake -0.008483
[1174/5000][65/535][121046] Loss_D: -0.021502 Loss_G: -0.007002 Loss_D_real: -0.017070 Loss_D_fake 0.004432
[1174/5000][70/535][121047] Loss_D: -0.021030 Loss_G: 0.016022 Loss_D_real: -0.032515 Loss_D_fake -0.011485
[1174/5000][75/535][121048] Loss_D: -0.021199 Loss_G: 0.011782 Loss_D_real: -0.018038 Loss_D_fake 0.003161
[1174/5000][80/535][121049] Loss_D: -0.019489 Loss_G: 0.023530 Loss_D_real: -0.030078 Loss_D_fake -0.010589
[1174/5000][85/535][121050] Loss_D: -0.021011 Loss_G: 0.003109 Loss_D_real: -0.009528 Loss_D_fake 0.011482
[1174/5000][90/535][121051] Loss_D: -0.021414 Loss_G: 0.009628 Loss_D_real: -0.026713 Loss_D_fake -0.005299
[1174/5000][95/535][121052] Loss_D: -0.021444 Loss_G: 0.013613 Loss_D_real: -0.026575 Loss_D_fake -0.005132
[1174/5000][100/535][121053] Loss_D: -0.022209 Loss_G: 0.000848 Loss_D_real: -0.021421 Loss_D_fake 0.000789
[1174/5000][105/535][121054] Loss_D: -0.020699 Loss_G: 0.028023 Loss_D_real: -0.022401 Loss_D_fake -0.001701
[1174/5000][110/535][121055] Loss_D: -0.019851 Loss_G: 0.020104 Loss_D_real: -0.014360 Loss_D_fake 0.005491
[1174/5000][115/535][121056] Loss_D: -0.021217 Loss_G: 0.008290 Loss_D_real: -0.014617 Loss_D_fake 0.006599
[1174/5000][120/535][121057] Loss_D: -0.019652 Loss_G: -0.005411 Loss_D_real: -0.011031 Loss_D_fake 0.008621
[1174/5000][125/535][121058] Loss_D: -0.021016 Loss_G: -0.000124 Loss_D_real: -0.027152 Loss_D_fake -0.006137
[1174/5000][130/535][121059] Loss_D: -0.020364 Loss_G: 0.011890 Loss_D_real: -0.020216 Loss_D_fake 0.000148
[1174/5000][135/535][121060] Loss_D: -0.020520 Loss_G: -0.005742 Loss_D_real: -0.008950 Loss_D_fake 0.011569
[1174/5000][140/535][121061] Loss_D: -0.020745 Loss_G: 0.002875 Loss_D_real: -0.024280 Loss_D_fake -0.003536
[1174/5000][145/535][121062] Loss_D: -0.020317 Loss_G: 0.010788 Loss_D_real: -0.021465 Loss_D_fake -0.001148
[1174/5000][150/535][121063] Loss_D: -0.021060 Loss_G: 0.007498 Loss_D_real: -0.022325 Loss_D_fake -0.001265
[1174/5000][155/535][121064] Loss_D: -0.021334 Loss_G: 0.008593 Loss_D_real: -0.017907 Loss_D_fake 0.003427
[1174/5000][160/535][121065] Loss_D: -0.020646 Loss_G: 0.007943 Loss_D_real: -0.015037 Loss_D_fake 0.005610
[1174/5000][165/535][121066] Loss_D: -0.021508 Loss_G: -0.000721 Loss_D_real: -0.014931 Loss_D_fake 0.006577
[1174/5000][170/535][121067] Loss_D: -0.020993 Loss_G: 0.001090 Loss_D_real: -0.012858 Loss_D_fake 0.008135
[1174/5000][175/535][121068] Loss_D: -0.022199 Loss_G: 0.023053 Loss_D_real: -0.020879 Loss_D_fake 0.001319
[1174/5000][180/535][121069] Loss_D: -0.021430 Loss_G: 0.007981 Loss_D_real: -0.020331 Loss_D_fake 0.001099
[1174/5000][185/535][121070] Loss_D: -0.020750 Loss_G: 0.014002 Loss_D_real: -0.020689 Loss_D_fake 0.000061
[1174/5000][190/535][121071] Loss_D: -0.019171 Loss_G: 0.016769 Loss_D_real: -0.024884 Loss_D_fake -0.005714
[1174/5000][195/535][121072] Loss_D: -0.020810 Loss_G: 0.019570 Loss_D_real: -0.029605 Loss_D_fake -0.008795
[1174/5000][200/535][121073] Loss_D: -0.020627 Loss_G: -0.004024 Loss_D_real: -0.011314 Loss_D_fake 0.009312
[1174/5000][205/535][121074] Loss_D: -0.020003 Loss_G: 0.008000 Loss_D_real: -0.027416 Loss_D_fake -0.007413
[1174/5000][210/535][121075] Loss_D: -0.021145 Loss_G: 0.006547 Loss_D_real: -0.020252 Loss_D_fake 0.000893
[1174/5000][215/535][121076] Loss_D: -0.021513 Loss_G: -0.009607 Loss_D_real: -0.010308 Loss_D_fake 0.011204
[1174/5000][220/535][121077] Loss_D: -0.019359 Loss_G: 0.002984 Loss_D_real: -0.009558 Loss_D_fake 0.009801
[1174/5000][225/535][121078] Loss_D: -0.020952 Loss_G: 0.017462 Loss_D_real: -0.029571 Loss_D_fake -0.008619
[1174/5000][230/535][121079] Loss_D: -0.020919 Loss_G: 0.020490 Loss_D_real: -0.004423 Loss_D_fake 0.016495
[1174/5000][235/535][121080] Loss_D: -0.020403 Loss_G: 0.018175 Loss_D_real: -0.023268 Loss_D_fake -0.002864
[1174/5000][240/535][121081] Loss_D: -0.020038 Loss_G: 0.007838 Loss_D_real: -0.031816 Loss_D_fake -0.011777
[1174/5000][245/535][121082] Loss_D: -0.021900 Loss_G: 0.005500 Loss_D_real: -0.019352 Loss_D_fake 0.002548
[1174/5000][250/535][121083] Loss_D: -0.019851 Loss_G: 0.007813 Loss_D_real: -0.014677 Loss_D_fake 0.005174
[1174/5000][255/535][121084] Loss_D: -0.019473 Loss_G: -0.008266 Loss_D_real: -0.004438 Loss_D_fake 0.015036
[1174/5000][260/535][121085] Loss_D: -0.021034 Loss_G: 0.000222 Loss_D_real: -0.021889 Loss_D_fake -0.000855
[1174/5000][265/535][121086] Loss_D: -0.019552 Loss_G: 0.008773 Loss_D_real: -0.036154 Loss_D_fake -0.016601
[1174/5000][270/535][121087] Loss_D: -0.020230 Loss_G: 0.010206 Loss_D_real: -0.012299 Loss_D_fake 0.007931
[1174/5000][275/535][121088] Loss_D: -0.020015 Loss_G: 0.010429 Loss_D_real: -0.021374 Loss_D_fake -0.001359
[1174/5000][280/535][121089] Loss_D: -0.019503 Loss_G: 0.007902 Loss_D_real: -0.012321 Loss_D_fake 0.007182
[1174/5000][285/535][121090] Loss_D: -0.019952 Loss_G: 0.004630 Loss_D_real: -0.020583 Loss_D_fake -0.000631
[1174/5000][290/535][121091] Loss_D: -0.019496 Loss_G: -0.002619 Loss_D_real: -0.007202 Loss_D_fake 0.012294
[1174/5000][295/535][121092] Loss_D: -0.021290 Loss_G: 0.004853 Loss_D_real: -0.015659 Loss_D_fake 0.005631
[1174/5000][300/535][121093] Loss_D: -0.021170 Loss_G: 0.013809 Loss_D_real: -0.029444 Loss_D_fake -0.008274
[1174/5000][305/535][121094] Loss_D: -0.022171 Loss_G: 0.018810 Loss_D_real: -0.018790 Loss_D_fake 0.003381
[1174/5000][310/535][121095] Loss_D: -0.020171 Loss_G: 0.003502 Loss_D_real: -0.035506 Loss_D_fake -0.015335
[1174/5000][315/535][121096] Loss_D: -0.019783 Loss_G: 0.016872 Loss_D_real: -0.020190 Loss_D_fake -0.000407
[1174/5000][320/535][121097] Loss_D: -0.020656 Loss_G: 0.005222 Loss_D_real: -0.021456 Loss_D_fake -0.000801
[1174/5000][325/535][121098] Loss_D: -0.020942 Loss_G: 0.013803 Loss_D_real: -0.022711 Loss_D_fake -0.001769
[1174/5000][330/535][121099] Loss_D: -0.020427 Loss_G: 0.009191 Loss_D_real: -0.020480 Loss_D_fake -0.000053
[1174/5000][335/535][121100] Loss_D: -0.020996 Loss_G: -0.006541 Loss_D_real: -0.006466 Loss_D_fake 0.014530
[1174/5000][340/535][121101] Loss_D: -0.021404 Loss_G: -0.000273 Loss_D_real: -0.006900 Loss_D_fake 0.014504
[1174/5000][345/535][121102] Loss_D: -0.020457 Loss_G: 0.004404 Loss_D_real: -0.013259 Loss_D_fake 0.007197
[1174/5000][350/535][121103] Loss_D: -0.021141 Loss_G: -0.002836 Loss_D_real: -0.015666 Loss_D_fake 0.005475
[1174/5000][355/535][121104] Loss_D: -0.019799 Loss_G: -0.006978 Loss_D_real: -0.003397 Loss_D_fake 0.016402
[1174/5000][360/535][121105] Loss_D: -0.020538 Loss_G: 0.003173 Loss_D_real: -0.012936 Loss_D_fake 0.007602
[1174/5000][365/535][121106] Loss_D: -0.019943 Loss_G: 0.015056 Loss_D_real: -0.029438 Loss_D_fake -0.009495
[1174/5000][370/535][121107] Loss_D: -0.020953 Loss_G: 0.000028 Loss_D_real: -0.006112 Loss_D_fake 0.014842
[1174/5000][375/535][121108] Loss_D: -0.021266 Loss_G: -0.000345 Loss_D_real: -0.003063 Loss_D_fake 0.018204
[1174/5000][380/535][121109] Loss_D: -0.021207 Loss_G: 0.012184 Loss_D_real: -0.024525 Loss_D_fake -0.003318
[1174/5000][385/535][121110] Loss_D: -0.021483 Loss_G: -0.006631 Loss_D_real: -0.013670 Loss_D_fake 0.007812
[1174/5000][390/535][121111] Loss_D: -0.020588 Loss_G: 0.001503 Loss_D_real: -0.018536 Loss_D_fake 0.002052
[1174/5000][395/535][121112] Loss_D: -0.020671 Loss_G: 0.014554 Loss_D_real: -0.022573 Loss_D_fake -0.001902
[1174/5000][400/535][121113] Loss_D: -0.019629 Loss_G: -0.009595 Loss_D_real: -0.008796 Loss_D_fake 0.010833
[1174/5000][405/535][121114] Loss_D: -0.022657 Loss_G: 0.020340 Loss_D_real: -0.021664 Loss_D_fake 0.000993
[1174/5000][410/535][121115] Loss_D: -0.020947 Loss_G: 0.017971 Loss_D_real: -0.003053 Loss_D_fake 0.017894
[1174/5000][415/535][121116] Loss_D: -0.022018 Loss_G: -0.001955 Loss_D_real: -0.016587 Loss_D_fake 0.005432
[1174/5000][420/535][121117] Loss_D: -0.019441 Loss_G: 0.002622 Loss_D_real: -0.014085 Loss_D_fake 0.005356
[1174/5000][425/535][121118] Loss_D: -0.018412 Loss_G: 0.030221 Loss_D_real: -0.022289 Loss_D_fake -0.003877
[1174/5000][430/535][121119] Loss_D: -0.019970 Loss_G: 0.004940 Loss_D_real: -0.017685 Loss_D_fake 0.002285
[1174/5000][435/535][121120] Loss_D: -0.020659 Loss_G: -0.006373 Loss_D_real: -0.007049 Loss_D_fake 0.013610
[1174/5000][440/535][121121] Loss_D: -0.021037 Loss_G: -0.002635 Loss_D_real: -0.011946 Loss_D_fake 0.009091
[1174/5000][445/535][121122] Loss_D: -0.021029 Loss_G: 0.009676 Loss_D_real: -0.015903 Loss_D_fake 0.005126
[1174/5000][450/535][121123] Loss_D: -0.020438 Loss_G: 0.016042 Loss_D_real: -0.031217 Loss_D_fake -0.010779
[1174/5000][455/535][121124] Loss_D: -0.021013 Loss_G: 0.011905 Loss_D_real: -0.025883 Loss_D_fake -0.004870
[1174/5000][460/535][121125] Loss_D: -0.019207 Loss_G: 0.018771 Loss_D_real: -0.021349 Loss_D_fake -0.002143
[1174/5000][465/535][121126] Loss_D: -0.019040 Loss_G: 0.012705 Loss_D_real: -0.014013 Loss_D_fake 0.005027
[1174/5000][470/535][121127] Loss_D: -0.021883 Loss_G: 0.002252 Loss_D_real: -0.016137 Loss_D_fake 0.005745
[1174/5000][475/535][121128] Loss_D: -0.020385 Loss_G: 0.020283 Loss_D_real: -0.029223 Loss_D_fake -0.008837
[1174/5000][480/535][121129] Loss_D: -0.019548 Loss_G: -0.012464 Loss_D_real: -0.006234 Loss_D_fake 0.013314
[1174/5000][485/535][121130] Loss_D: -0.021313 Loss_G: 0.004987 Loss_D_real: -0.006036 Loss_D_fake 0.015277
[1174/5000][490/535][121131] Loss_D: -0.021556 Loss_G: 0.011306 Loss_D_real: -0.024274 Loss_D_fake -0.002718
[1174/5000][495/535][121132] Loss_D: -0.021902 Loss_G: 0.011390 Loss_D_real: -0.020954 Loss_D_fake 0.000948
[1174/5000][500/535][121133] Loss_D: -0.021319 Loss_G: 0.016213 Loss_D_real: -0.027221 Loss_D_fake -0.005902
[1174/5000][505/535][121134] Loss_D: -0.021707 Loss_G: 0.001765 Loss_D_real: -0.018707 Loss_D_fake 0.002999
[1174/5000][510/535][121135] Loss_D: -0.021095 Loss_G: -0.007696 Loss_D_real: -0.011441 Loss_D_fake 0.009654
[1174/5000][515/535][121136] Loss_D: -0.020823 Loss_G: 0.005766 Loss_D_real: -0.011467 Loss_D_fake 0.009356
[1174/5000][520/535][121137] Loss_D: -0.020954 Loss_G: 0.013865 Loss_D_real: -0.009374 Loss_D_fake 0.011579
[1174/5000][525/535][121138] Loss_D: -0.020229 Loss_G: -0.000934 Loss_D_real: -0.019117 Loss_D_fake 0.001111
[1174/5000][530/535][121139] Loss_D: -0.018647 Loss_G: -0.000514 Loss_D_real: -0.002375 Loss_D_fake 0.016271
[1174/5000][535/535][121140] Loss_D: -0.021722 Loss_G: -0.011261 Loss_D_real: -0.022116 Loss_D_fake -0.000394
[1175/5000][5/535][121141] Loss_D: -0.020480 Loss_G: 0.003570 Loss_D_real: -0.002039 Loss_D_fake 0.018441
[1175/5000][10/535][121142] Loss_D: -0.019256 Loss_G: 0.021574 Loss_D_real: -0.031891 Loss_D_fake -0.012635
[1175/5000][15/535][121143] Loss_D: -0.021062 Loss_G: 0.010524 Loss_D_real: -0.019892 Loss_D_fake 0.001170
[1175/5000][20/535][121144] Loss_D: -0.019770 Loss_G: -0.001254 Loss_D_real: -0.016373 Loss_D_fake 0.003397
[1175/5000][25/535][121145] Loss_D: -0.019699 Loss_G: 0.020031 Loss_D_real: -0.031296 Loss_D_fake -0.011598
[1175/5000][30/535][121146] Loss_D: -0.021535 Loss_G: 0.019349 Loss_D_real: -0.017502 Loss_D_fake 0.004032
[1175/5000][35/535][121147] Loss_D: -0.022171 Loss_G: 0.008132 Loss_D_real: -0.018767 Loss_D_fake 0.003405
[1175/5000][40/535][121148] Loss_D: -0.022001 Loss_G: 0.016869 Loss_D_real: -0.021252 Loss_D_fake 0.000750
[1175/5000][45/535][121149] Loss_D: -0.020926 Loss_G: -0.003373 Loss_D_real: -0.022608 Loss_D_fake -0.001681
[1175/5000][50/535][121150] Loss_D: -0.020508 Loss_G: 0.014905 Loss_D_real: -0.032577 Loss_D_fake -0.012069
[1175/5000][55/535][121151] Loss_D: -0.020818 Loss_G: 0.015607 Loss_D_real: -0.030902 Loss_D_fake -0.010084
[1175/5000][60/535][121152] Loss_D: -0.022310 Loss_G: -0.015486 Loss_D_real: -0.002886 Loss_D_fake 0.019425
[1175/5000][65/535][121153] Loss_D: -0.020143 Loss_G: 0.011052 Loss_D_real: -0.028818 Loss_D_fake -0.008675
[1175/5000][70/535][121154] Loss_D: -0.021007 Loss_G: 0.013017 Loss_D_real: -0.028089 Loss_D_fake -0.007081
[1175/5000][75/535][121155] Loss_D: -0.021393 Loss_G: 0.012013 Loss_D_real: -0.008671 Loss_D_fake 0.012722
[1175/5000][80/535][121156] Loss_D: -0.019299 Loss_G: 0.025049 Loss_D_real: -0.038094 Loss_D_fake -0.018795
[1175/5000][85/535][121157] Loss_D: -0.021509 Loss_G: -0.009504 Loss_D_real: -0.013235 Loss_D_fake 0.008273
[1175/5000][90/535][121158] Loss_D: -0.020031 Loss_G: 0.024225 Loss_D_real: -0.015253 Loss_D_fake 0.004778
[1175/5000][95/535][121159] Loss_D: -0.019601 Loss_G: -0.008271 Loss_D_real: -0.015689 Loss_D_fake 0.003912
[1175/5000][100/535][121160] Loss_D: -0.019989 Loss_G: 0.014521 Loss_D_real: -0.017238 Loss_D_fake 0.002752
[1175/5000][105/535][121161] Loss_D: -0.020559 Loss_G: -0.001707 Loss_D_real: -0.007212 Loss_D_fake 0.013347
[1175/5000][110/535][121162] Loss_D: -0.021004 Loss_G: -0.016279 Loss_D_real: -0.006821 Loss_D_fake 0.014183
[1175/5000][115/535][121163] Loss_D: -0.020116 Loss_G: 0.009088 Loss_D_real: -0.024546 Loss_D_fake -0.004430
[1175/5000][120/535][121164] Loss_D: -0.021862 Loss_G: 0.025615 Loss_D_real: -0.021142 Loss_D_fake 0.000720
[1175/5000][125/535][121165] Loss_D: -0.021670 Loss_G: -0.003338 Loss_D_real: -0.012163 Loss_D_fake 0.009507
[1175/5000][130/535][121166] Loss_D: -0.021164 Loss_G: 0.019997 Loss_D_real: -0.022231 Loss_D_fake -0.001067
[1175/5000][135/535][121167] Loss_D: -0.020682 Loss_G: 0.012957 Loss_D_real: -0.028199 Loss_D_fake -0.007517
[1175/5000][140/535][121168] Loss_D: -0.020951 Loss_G: -0.012380 Loss_D_real: -0.010984 Loss_D_fake 0.009968
[1175/5000][145/535][121169] Loss_D: -0.020432 Loss_G: 0.017470 Loss_D_real: -0.021189 Loss_D_fake -0.000757
[1175/5000][150/535][121170] Loss_D: -0.020223 Loss_G: -0.008641 Loss_D_real: -0.007190 Loss_D_fake 0.013033
[1175/5000][155/535][121171] Loss_D: -0.019556 Loss_G: 0.013181 Loss_D_real: -0.030884 Loss_D_fake -0.011329
[1175/5000][160/535][121172] Loss_D: -0.020946 Loss_G: 0.006548 Loss_D_real: -0.022392 Loss_D_fake -0.001447
[1175/5000][165/535][121173] Loss_D: -0.019756 Loss_G: 0.016483 Loss_D_real: -0.017789 Loss_D_fake 0.001968
[1175/5000][170/535][121174] Loss_D: -0.019777 Loss_G: -0.004010 Loss_D_real: -0.010499 Loss_D_fake 0.009279
[1175/5000][175/535][121175] Loss_D: -0.019118 Loss_G: 0.027584 Loss_D_real: -0.029694 Loss_D_fake -0.010577
[1175/5000][180/535][121176] Loss_D: -0.020818 Loss_G: 0.020708 Loss_D_real: -0.022593 Loss_D_fake -0.001775
[1175/5000][185/535][121177] Loss_D: -0.020997 Loss_G: 0.007092 Loss_D_real: -0.015254 Loss_D_fake 0.005742
[1175/5000][190/535][121178] Loss_D: -0.020466 Loss_G: 0.010585 Loss_D_real: -0.020421 Loss_D_fake 0.000045
[1175/5000][195/535][121179] Loss_D: -0.019971 Loss_G: 0.003258 Loss_D_real: -0.022803 Loss_D_fake -0.002831
[1175/5000][200/535][121180] Loss_D: -0.019455 Loss_G: 0.014009 Loss_D_real: -0.025630 Loss_D_fake -0.006175
[1175/5000][205/535][121181] Loss_D: -0.019962 Loss_G: 0.009899 Loss_D_real: -0.022031 Loss_D_fake -0.002069
[1175/5000][210/535][121182] Loss_D: -0.020566 Loss_G: 0.017392 Loss_D_real: -0.013548 Loss_D_fake 0.007018
[1175/5000][215/535][121183] Loss_D: -0.021137 Loss_G: 0.007960 Loss_D_real: -0.012799 Loss_D_fake 0.008337
[1175/5000][220/535][121184] Loss_D: -0.021508 Loss_G: 0.013414 Loss_D_real: -0.020407 Loss_D_fake 0.001102
[1175/5000][225/535][121185] Loss_D: -0.020311 Loss_G: -0.006829 Loss_D_real: -0.006007 Loss_D_fake 0.014305
[1175/5000][230/535][121186] Loss_D: -0.022088 Loss_G: 0.007075 Loss_D_real: -0.013520 Loss_D_fake 0.008569
[1175/5000][235/535][121187] Loss_D: -0.021346 Loss_G: 0.009552 Loss_D_real: -0.016926 Loss_D_fake 0.004420
[1175/5000][240/535][121188] Loss_D: -0.021295 Loss_G: -0.001532 Loss_D_real: -0.014602 Loss_D_fake 0.006694
[1175/5000][245/535][121189] Loss_D: -0.020274 Loss_G: 0.007700 Loss_D_real: -0.025055 Loss_D_fake -0.004781
[1175/5000][250/535][121190] Loss_D: -0.020739 Loss_G: -0.010942 Loss_D_real: -0.009173 Loss_D_fake 0.011566
[1175/5000][255/535][121191] Loss_D: -0.021074 Loss_G: 0.015094 Loss_D_real: -0.029660 Loss_D_fake -0.008586
[1175/5000][260/535][121192] Loss_D: -0.020839 Loss_G: 0.003797 Loss_D_real: -0.022694 Loss_D_fake -0.001855
[1175/5000][265/535][121193] Loss_D: -0.021655 Loss_G: 0.009339 Loss_D_real: -0.016312 Loss_D_fake 0.005343
[1175/5000][270/535][121194] Loss_D: -0.021358 Loss_G: 0.013775 Loss_D_real: -0.023869 Loss_D_fake -0.002511
[1175/5000][275/535][121195] Loss_D: -0.019987 Loss_G: -0.007202 Loss_D_real: -0.009321 Loss_D_fake 0.010665
[1175/5000][280/535][121196] Loss_D: -0.021126 Loss_G: 0.016715 Loss_D_real: -0.020721 Loss_D_fake 0.000405
[1175/5000][285/535][121197] Loss_D: -0.019345 Loss_G: 0.016758 Loss_D_real: -0.027873 Loss_D_fake -0.008528
[1175/5000][290/535][121198] Loss_D: -0.022299 Loss_G: -0.000592 Loss_D_real: -0.021657 Loss_D_fake 0.000641
[1175/5000][295/535][121199] Loss_D: -0.021318 Loss_G: 0.009113 Loss_D_real: -0.019278 Loss_D_fake 0.002040
[1175/5000][300/535][121200] Loss_D: -0.022467 Loss_G: 0.026706 Loss_D_real: -0.022410 Loss_D_fake 0.000057
[1175/5000][305/535][121201] Loss_D: -0.021976 Loss_G: 0.005619 Loss_D_real: -0.015535 Loss_D_fake 0.006440
[1175/5000][310/535][121202] Loss_D: -0.019719 Loss_G: 0.007418 Loss_D_real: -0.020720 Loss_D_fake -0.001001
[1175/5000][315/535][121203] Loss_D: -0.020788 Loss_G: 0.018783 Loss_D_real: -0.017599 Loss_D_fake 0.003189
[1175/5000][320/535][121204] Loss_D: -0.020958 Loss_G: -0.000841 Loss_D_real: -0.014782 Loss_D_fake 0.006176
[1175/5000][325/535][121205] Loss_D: -0.022110 Loss_G: 0.022832 Loss_D_real: -0.022975 Loss_D_fake -0.000866
[1175/5000][330/535][121206] Loss_D: -0.021188 Loss_G: 0.025827 Loss_D_real: -0.028370 Loss_D_fake -0.007182
[1175/5000][335/535][121207] Loss_D: -0.021221 Loss_G: -0.005392 Loss_D_real: -0.013753 Loss_D_fake 0.007467
[1175/5000][340/535][121208] Loss_D: -0.018866 Loss_G: 0.022746 Loss_D_real: -0.032450 Loss_D_fake -0.013584
[1175/5000][345/535][121209] Loss_D: -0.021213 Loss_G: -0.005754 Loss_D_real: -0.015823 Loss_D_fake 0.005390
[1175/5000][350/535][121210] Loss_D: -0.019176 Loss_G: 0.029519 Loss_D_real: -0.023895 Loss_D_fake -0.004719
[1175/5000][355/535][121211] Loss_D: -0.021644 Loss_G: -0.010634 Loss_D_real: -0.015583 Loss_D_fake 0.006061
[1175/5000][360/535][121212] Loss_D: -0.019871 Loss_G: 0.017194 Loss_D_real: -0.027583 Loss_D_fake -0.007712
[1175/5000][365/535][121213] Loss_D: -0.021871 Loss_G: 0.005769 Loss_D_real: -0.023897 Loss_D_fake -0.002027
[1175/5000][370/535][121214] Loss_D: -0.021311 Loss_G: 0.010769 Loss_D_real: -0.023964 Loss_D_fake -0.002653
[1175/5000][375/535][121215] Loss_D: -0.020301 Loss_G: -0.010943 Loss_D_real: -0.009624 Loss_D_fake 0.010677
[1175/5000][380/535][121216] Loss_D: -0.020182 Loss_G: 0.002878 Loss_D_real: -0.018415 Loss_D_fake 0.001767
[1175/5000][385/535][121217] Loss_D: -0.021415 Loss_G: -0.003071 Loss_D_real: -0.007999 Loss_D_fake 0.013416
[1175/5000][390/535][121218] Loss_D: -0.019812 Loss_G: 0.000733 Loss_D_real: -0.012979 Loss_D_fake 0.006833
[1175/5000][395/535][121219] Loss_D: -0.020035 Loss_G: 0.024320 Loss_D_real: -0.015005 Loss_D_fake 0.005031
[1175/5000][400/535][121220] Loss_D: -0.019346 Loss_G: 0.018804 Loss_D_real: -0.035297 Loss_D_fake -0.015950
[1175/5000][405/535][121221] Loss_D: -0.020310 Loss_G: 0.014057 Loss_D_real: -0.038112 Loss_D_fake -0.017802
[1175/5000][410/535][121222] Loss_D: -0.020804 Loss_G: 0.019476 Loss_D_real: -0.022613 Loss_D_fake -0.001808
[1175/5000][415/535][121223] Loss_D: -0.021339 Loss_G: -0.003405 Loss_D_real: -0.015602 Loss_D_fake 0.005736
[1175/5000][420/535][121224] Loss_D: -0.020614 Loss_G: 0.011817 Loss_D_real: -0.022511 Loss_D_fake -0.001897
[1175/5000][425/535][121225] Loss_D: -0.020609 Loss_G: -0.015220 Loss_D_real: -0.011967 Loss_D_fake 0.008642
[1175/5000][430/535][121226] Loss_D: -0.019034 Loss_G: 0.002992 Loss_D_real: -0.011600 Loss_D_fake 0.007434
[1175/5000][435/535][121227] Loss_D: -0.019501 Loss_G: -0.008591 Loss_D_real: -0.013801 Loss_D_fake 0.005700
[1175/5000][440/535][121228] Loss_D: -0.020400 Loss_G: -0.018104 Loss_D_real: -0.004928 Loss_D_fake 0.015472
[1175/5000][445/535][121229] Loss_D: -0.020213 Loss_G: -0.003485 Loss_D_real: -0.017578 Loss_D_fake 0.002635
[1175/5000][450/535][121230] Loss_D: -0.020834 Loss_G: 0.011821 Loss_D_real: -0.016329 Loss_D_fake 0.004506
[1175/5000][455/535][121231] Loss_D: -0.020468 Loss_G: 0.024042 Loss_D_real: -0.021382 Loss_D_fake -0.000913
[1175/5000][460/535][121232] Loss_D: -0.021061 Loss_G: -0.006172 Loss_D_real: -0.018792 Loss_D_fake 0.002269
[1175/5000][465/535][121233] Loss_D: -0.021025 Loss_G: -0.001338 Loss_D_real: -0.005576 Loss_D_fake 0.015448
[1175/5000][470/535][121234] Loss_D: -0.020537 Loss_G: -0.006664 Loss_D_real: -0.001256 Loss_D_fake 0.019281
[1175/5000][475/535][121235] Loss_D: -0.020941 Loss_G: 0.021310 Loss_D_real: -0.021534 Loss_D_fake -0.000593
[1175/5000][480/535][121236] Loss_D: -0.022201 Loss_G: 0.013548 Loss_D_real: -0.030734 Loss_D_fake -0.008534
[1175/5000][485/535][121237] Loss_D: -0.022179 Loss_G: 0.000889 Loss_D_real: -0.011655 Loss_D_fake 0.010524
[1175/5000][490/535][121238] Loss_D: -0.019544 Loss_G: 0.030797 Loss_D_real: -0.023213 Loss_D_fake -0.003669
[1175/5000][495/535][121239] Loss_D: -0.019000 Loss_G: -0.016294 Loss_D_real: -0.003134 Loss_D_fake 0.015866
[1175/5000][500/535][121240] Loss_D: -0.021378 Loss_G: -0.005043 Loss_D_real: -0.014378 Loss_D_fake 0.007000
[1175/5000][505/535][121241] Loss_D: -0.020449 Loss_G: 0.016083 Loss_D_real: -0.028072 Loss_D_fake -0.007623
[1175/5000][510/535][121242] Loss_D: -0.020106 Loss_G: -0.010821 Loss_D_real: -0.002543 Loss_D_fake 0.017562
[1175/5000][515/535][121243] Loss_D: -0.020559 Loss_G: 0.015889 Loss_D_real: -0.028742 Loss_D_fake -0.008182
[1175/5000][520/535][121244] Loss_D: -0.020751 Loss_G: 0.030969 Loss_D_real: -0.034146 Loss_D_fake -0.013395
[1175/5000][525/535][121245] Loss_D: -0.021547 Loss_G: 0.012966 Loss_D_real: -0.018095 Loss_D_fake 0.003452
[1175/5000][530/535][121246] Loss_D: -0.021079 Loss_G: 0.007468 Loss_D_real: -0.012896 Loss_D_fake 0.008182
[1175/5000][535/535][121247] Loss_D: -0.018380 Loss_G: 0.037196 Loss_D_real: -0.023090 Loss_D_fake -0.004711
[1176/5000][5/535][121248] Loss_D: -0.020568 Loss_G: 0.006003 Loss_D_real: -0.010104 Loss_D_fake 0.010463
[1176/5000][10/535][121249] Loss_D: -0.020266 Loss_G: 0.020713 Loss_D_real: -0.031560 Loss_D_fake -0.011294
[1176/5000][15/535][121250] Loss_D: -0.021900 Loss_G: -0.007656 Loss_D_real: -0.015608 Loss_D_fake 0.006293
[1176/5000][20/535][121251] Loss_D: -0.019993 Loss_G: 0.010289 Loss_D_real: -0.020856 Loss_D_fake -0.000864
[1176/5000][25/535][121252] Loss_D: -0.020379 Loss_G: -0.007378 Loss_D_real: -0.010006 Loss_D_fake 0.010373
[1176/5000][30/535][121253] Loss_D: -0.021586 Loss_G: 0.001449 Loss_D_real: -0.014351 Loss_D_fake 0.007236
[1176/5000][35/535][121254] Loss_D: -0.022385 Loss_G: 0.001612 Loss_D_real: -0.024849 Loss_D_fake -0.002463
[1176/5000][40/535][121255] Loss_D: -0.020238 Loss_G: 0.003567 Loss_D_real: -0.016194 Loss_D_fake 0.004044
[1176/5000][45/535][121256] Loss_D: -0.021486 Loss_G: 0.002705 Loss_D_real: -0.019467 Loss_D_fake 0.002019
[1176/5000][50/535][121257] Loss_D: -0.022194 Loss_G: -0.006016 Loss_D_real: -0.012451 Loss_D_fake 0.009743
[1176/5000][55/535][121258] Loss_D: -0.020123 Loss_G: 0.019700 Loss_D_real: -0.024793 Loss_D_fake -0.004670
[1176/5000][60/535][121259] Loss_D: -0.019529 Loss_G: -0.013200 Loss_D_real: 0.009915 Loss_D_fake 0.029445
[1176/5000][65/535][121260] Loss_D: -0.019443 Loss_G: 0.018463 Loss_D_real: -0.037482 Loss_D_fake -0.018039
[1176/5000][70/535][121261] Loss_D: -0.020192 Loss_G: 0.027982 Loss_D_real: -0.035852 Loss_D_fake -0.015660
[1176/5000][75/535][121262] Loss_D: -0.021271 Loss_G: -0.001407 Loss_D_real: -0.019050 Loss_D_fake 0.002221
[1176/5000][80/535][121263] Loss_D: -0.020466 Loss_G: 0.003800 Loss_D_real: -0.016484 Loss_D_fake 0.003981
[1176/5000][85/535][121264] Loss_D: -0.021352 Loss_G: -0.003387 Loss_D_real: -0.012850 Loss_D_fake 0.008502
[1176/5000][90/535][121265] Loss_D: -0.018975 Loss_G: -0.011929 Loss_D_real: 0.001271 Loss_D_fake 0.020245
[1176/5000][95/535][121266] Loss_D: -0.020993 Loss_G: 0.015690 Loss_D_real: -0.016527 Loss_D_fake 0.004467
[1176/5000][100/535][121267] Loss_D: -0.020834 Loss_G: 0.019518 Loss_D_real: -0.026824 Loss_D_fake -0.005989
[1176/5000][105/535][121268] Loss_D: -0.020142 Loss_G: 0.001670 Loss_D_real: -0.025500 Loss_D_fake -0.005358
[1176/5000][110/535][121269] Loss_D: -0.019724 Loss_G: 0.023309 Loss_D_real: -0.020416 Loss_D_fake -0.000692
[1176/5000][115/535][121270] Loss_D: -0.020794 Loss_G: 0.004441 Loss_D_real: -0.015629 Loss_D_fake 0.005165
[1176/5000][120/535][121271] Loss_D: -0.019451 Loss_G: 0.014599 Loss_D_real: -0.029409 Loss_D_fake -0.009957
[1176/5000][125/535][121272] Loss_D: -0.019605 Loss_G: 0.019508 Loss_D_real: -0.028066 Loss_D_fake -0.008462
[1176/5000][130/535][121273] Loss_D: -0.020643 Loss_G: 0.007892 Loss_D_real: -0.024096 Loss_D_fake -0.003452
[1176/5000][135/535][121274] Loss_D: -0.019942 Loss_G: -0.015591 Loss_D_real: -0.000297 Loss_D_fake 0.019645
[1176/5000][140/535][121275] Loss_D: -0.019906 Loss_G: -0.008321 Loss_D_real: -0.006274 Loss_D_fake 0.013632
[1176/5000][145/535][121276] Loss_D: -0.020392 Loss_G: 0.025993 Loss_D_real: -0.017636 Loss_D_fake 0.002756
[1176/5000][150/535][121277] Loss_D: -0.021195 Loss_G: 0.008653 Loss_D_real: -0.010908 Loss_D_fake 0.010287
[1176/5000][155/535][121278] Loss_D: -0.022181 Loss_G: 0.004985 Loss_D_real: -0.030350 Loss_D_fake -0.008169
[1176/5000][160/535][121279] Loss_D: -0.019545 Loss_G: 0.020874 Loss_D_real: -0.037679 Loss_D_fake -0.018134
[1176/5000][165/535][121280] Loss_D: -0.019825 Loss_G: -0.006652 Loss_D_real: -0.009012 Loss_D_fake 0.010813
[1176/5000][170/535][121281] Loss_D: -0.021546 Loss_G: 0.003707 Loss_D_real: -0.020679 Loss_D_fake 0.000867
[1176/5000][175/535][121282] Loss_D: -0.019832 Loss_G: -0.003078 Loss_D_real: -0.018252 Loss_D_fake 0.001580
[1176/5000][180/535][121283] Loss_D: -0.020295 Loss_G: 0.006136 Loss_D_real: -0.027647 Loss_D_fake -0.007352
[1176/5000][185/535][121284] Loss_D: -0.021552 Loss_G: 0.015089 Loss_D_real: -0.025325 Loss_D_fake -0.003773
[1176/5000][190/535][121285] Loss_D: -0.020187 Loss_G: 0.004929 Loss_D_real: -0.004983 Loss_D_fake 0.015204
[1176/5000][195/535][121286] Loss_D: -0.019519 Loss_G: 0.007253 Loss_D_real: -0.019605 Loss_D_fake -0.000087
[1176/5000][200/535][121287] Loss_D: -0.021330 Loss_G: 0.013867 Loss_D_real: -0.024468 Loss_D_fake -0.003138
[1176/5000][205/535][121288] Loss_D: -0.020427 Loss_G: -0.002950 Loss_D_real: -0.013276 Loss_D_fake 0.007151
[1176/5000][210/535][121289] Loss_D: -0.019009 Loss_G: 0.026433 Loss_D_real: -0.032114 Loss_D_fake -0.013105
[1176/5000][215/535][121290] Loss_D: -0.019552 Loss_G: 0.002633 Loss_D_real: -0.029289 Loss_D_fake -0.009737
[1176/5000][220/535][121291] Loss_D: -0.020415 Loss_G: 0.008656 Loss_D_real: -0.014607 Loss_D_fake 0.005808
[1176/5000][225/535][121292] Loss_D: -0.020142 Loss_G: -0.002307 Loss_D_real: -0.011252 Loss_D_fake 0.008890
[1176/5000][230/535][121293] Loss_D: -0.019319 Loss_G: 0.022204 Loss_D_real: -0.027863 Loss_D_fake -0.008544
[1176/5000][235/535][121294] Loss_D: -0.020168 Loss_G: 0.013954 Loss_D_real: -0.013200 Loss_D_fake 0.006968
[1176/5000][240/535][121295] Loss_D: -0.021359 Loss_G: 0.003969 Loss_D_real: -0.015282 Loss_D_fake 0.006077
[1176/5000][245/535][121296] Loss_D: -0.019913 Loss_G: 0.008120 Loss_D_real: -0.017184 Loss_D_fake 0.002728
[1176/5000][250/535][121297] Loss_D: -0.021140 Loss_G: 0.004013 Loss_D_real: -0.029857 Loss_D_fake -0.008717
[1176/5000][255/535][121298] Loss_D: -0.020064 Loss_G: -0.015258 Loss_D_real: -0.000536 Loss_D_fake 0.019528
[1176/5000][260/535][121299] Loss_D: -0.022902 Loss_G: -0.000369 Loss_D_real: -0.014702 Loss_D_fake 0.008199
[1176/5000][265/535][121300] Loss_D: -0.021526 Loss_G: -0.000355 Loss_D_real: -0.018855 Loss_D_fake 0.002671
[1176/5000][270/535][121301] Loss_D: -0.021576 Loss_G: 0.004663 Loss_D_real: -0.013917 Loss_D_fake 0.007659
[1176/5000][275/535][121302] Loss_D: -0.020357 Loss_G: -0.005519 Loss_D_real: -0.005541 Loss_D_fake 0.014815
[1176/5000][280/535][121303] Loss_D: -0.020324 Loss_G: 0.016187 Loss_D_real: -0.024864 Loss_D_fake -0.004540
[1176/5000][285/535][121304] Loss_D: -0.020457 Loss_G: -0.010850 Loss_D_real: -0.002296 Loss_D_fake 0.018161
[1176/5000][290/535][121305] Loss_D: -0.020684 Loss_G: 0.017628 Loss_D_real: -0.014369 Loss_D_fake 0.006315
[1176/5000][295/535][121306] Loss_D: -0.020463 Loss_G: -0.004319 Loss_D_real: -0.013632 Loss_D_fake 0.006831
[1176/5000][300/535][121307] Loss_D: -0.021226 Loss_G: 0.015300 Loss_D_real: -0.013591 Loss_D_fake 0.007635
[1176/5000][305/535][121308] Loss_D: -0.020811 Loss_G: 0.017299 Loss_D_real: -0.019884 Loss_D_fake 0.000927
[1176/5000][310/535][121309] Loss_D: -0.019028 Loss_G: -0.002565 Loss_D_real: -0.011355 Loss_D_fake 0.007672
[1176/5000][315/535][121310] Loss_D: -0.019708 Loss_G: -0.015449 Loss_D_real: -0.013996 Loss_D_fake 0.005712
[1176/5000][320/535][121311] Loss_D: -0.020101 Loss_G: 0.020649 Loss_D_real: -0.032936 Loss_D_fake -0.012835
[1176/5000][325/535][121312] Loss_D: -0.021843 Loss_G: -0.004177 Loss_D_real: -0.010886 Loss_D_fake 0.010957
[1176/5000][330/535][121313] Loss_D: -0.020601 Loss_G: -0.009477 Loss_D_real: 0.011270 Loss_D_fake 0.031872
[1176/5000][335/535][121314] Loss_D: -0.019448 Loss_G: -0.006312 Loss_D_real: -0.003738 Loss_D_fake 0.015710
[1176/5000][340/535][121315] Loss_D: -0.019944 Loss_G: 0.002520 Loss_D_real: -0.006701 Loss_D_fake 0.013242
[1176/5000][345/535][121316] Loss_D: -0.020774 Loss_G: 0.008484 Loss_D_real: -0.021879 Loss_D_fake -0.001105
[1176/5000][350/535][121317] Loss_D: -0.019700 Loss_G: 0.016587 Loss_D_real: -0.034980 Loss_D_fake -0.015280
[1176/5000][355/535][121318] Loss_D: -0.019096 Loss_G: 0.017526 Loss_D_real: -0.029433 Loss_D_fake -0.010337
[1176/5000][360/535][121319] Loss_D: -0.021549 Loss_G: 0.012886 Loss_D_real: -0.026278 Loss_D_fake -0.004729
[1176/5000][365/535][121320] Loss_D: -0.020052 Loss_G: 0.009700 Loss_D_real: -0.035932 Loss_D_fake -0.015879
[1176/5000][370/535][121321] Loss_D: -0.020413 Loss_G: 0.004730 Loss_D_real: -0.015075 Loss_D_fake 0.005338
[1176/5000][375/535][121322] Loss_D: -0.020582 Loss_G: 0.023163 Loss_D_real: -0.026593 Loss_D_fake -0.006010
[1176/5000][380/535][121323] Loss_D: -0.019927 Loss_G: 0.002397 Loss_D_real: -0.010281 Loss_D_fake 0.009647
[1176/5000][385/535][121324] Loss_D: -0.022428 Loss_G: 0.006776 Loss_D_real: -0.017397 Loss_D_fake 0.005031
[1176/5000][390/535][121325] Loss_D: -0.020080 Loss_G: 0.003376 Loss_D_real: -0.012909 Loss_D_fake 0.007171
[1176/5000][395/535][121326] Loss_D: -0.021229 Loss_G: 0.002773 Loss_D_real: -0.003755 Loss_D_fake 0.017474
[1176/5000][400/535][121327] Loss_D: -0.019112 Loss_G: 0.021604 Loss_D_real: -0.040994 Loss_D_fake -0.021882
[1176/5000][405/535][121328] Loss_D: -0.021508 Loss_G: 0.010972 Loss_D_real: -0.028260 Loss_D_fake -0.006751
[1176/5000][410/535][121329] Loss_D: -0.020464 Loss_G: 0.003534 Loss_D_real: -0.024923 Loss_D_fake -0.004459
[1176/5000][415/535][121330] Loss_D: -0.020974 Loss_G: 0.016700 Loss_D_real: -0.017772 Loss_D_fake 0.003201
[1176/5000][420/535][121331] Loss_D: -0.019982 Loss_G: 0.025663 Loss_D_real: -0.030578 Loss_D_fake -0.010596
[1176/5000][425/535][121332] Loss_D: -0.021578 Loss_G: 0.007944 Loss_D_real: -0.012218 Loss_D_fake 0.009360
[1176/5000][430/535][121333] Loss_D: -0.021024 Loss_G: -0.004530 Loss_D_real: -0.013286 Loss_D_fake 0.007738
[1176/5000][435/535][121334] Loss_D: -0.020208 Loss_G: 0.016312 Loss_D_real: -0.023757 Loss_D_fake -0.003549
[1176/5000][440/535][121335] Loss_D: -0.020031 Loss_G: -0.002495 Loss_D_real: -0.015388 Loss_D_fake 0.004643
[1176/5000][445/535][121336] Loss_D: -0.021333 Loss_G: 0.017646 Loss_D_real: -0.025414 Loss_D_fake -0.004081
[1176/5000][450/535][121337] Loss_D: -0.019517 Loss_G: 0.012376 Loss_D_real: -0.032018 Loss_D_fake -0.012501
[1176/5000][455/535][121338] Loss_D: -0.021362 Loss_G: 0.005019 Loss_D_real: -0.027255 Loss_D_fake -0.005893
[1176/5000][460/535][121339] Loss_D: -0.020856 Loss_G: 0.013865 Loss_D_real: -0.032211 Loss_D_fake -0.011354
[1176/5000][465/535][121340] Loss_D: -0.021593 Loss_G: 0.007456 Loss_D_real: -0.011320 Loss_D_fake 0.010274
[1176/5000][470/535][121341] Loss_D: -0.020375 Loss_G: 0.008008 Loss_D_real: -0.015424 Loss_D_fake 0.004952
[1176/5000][475/535][121342] Loss_D: -0.020851 Loss_G: 0.013022 Loss_D_real: -0.015740 Loss_D_fake 0.005112
[1176/5000][480/535][121343] Loss_D: -0.021711 Loss_G: 0.004840 Loss_D_real: -0.023727 Loss_D_fake -0.002016
[1176/5000][485/535][121344] Loss_D: -0.020322 Loss_G: 0.011434 Loss_D_real: -0.020824 Loss_D_fake -0.000502
[1176/5000][490/535][121345] Loss_D: -0.019872 Loss_G: 0.012209 Loss_D_real: -0.014097 Loss_D_fake 0.005775
[1176/5000][495/535][121346] Loss_D: -0.020335 Loss_G: 0.008335 Loss_D_real: -0.011566 Loss_D_fake 0.008769
[1176/5000][500/535][121347] Loss_D: -0.020764 Loss_G: 0.006966 Loss_D_real: -0.005356 Loss_D_fake 0.015408
[1176/5000][505/535][121348] Loss_D: -0.020641 Loss_G: 0.002907 Loss_D_real: -0.017735 Loss_D_fake 0.002906
[1176/5000][510/535][121349] Loss_D: -0.019549 Loss_G: 0.027684 Loss_D_real: -0.022135 Loss_D_fake -0.002586
[1176/5000][515/535][121350] Loss_D: -0.019551 Loss_G: 0.019249 Loss_D_real: -0.026890 Loss_D_fake -0.007339
[1176/5000][520/535][121351] Loss_D: -0.019185 Loss_G: 0.010335 Loss_D_real: -0.019009 Loss_D_fake 0.000176
[1176/5000][525/535][121352] Loss_D: -0.020573 Loss_G: 0.020741 Loss_D_real: -0.025590 Loss_D_fake -0.005017
[1176/5000][530/535][121353] Loss_D: -0.021133 Loss_G: 0.007214 Loss_D_real: -0.021749 Loss_D_fake -0.000617
[1176/5000][535/535][121354] Loss_D: -0.022533 Loss_G: 0.021479 Loss_D_real: -0.016113 Loss_D_fake 0.006420
[1177/5000][5/535][121355] Loss_D: -0.020896 Loss_G: 0.008578 Loss_D_real: -0.017532 Loss_D_fake 0.003365
[1177/5000][10/535][121356] Loss_D: -0.020973 Loss_G: 0.002766 Loss_D_real: -0.013474 Loss_D_fake 0.007499
[1177/5000][15/535][121357] Loss_D: -0.020762 Loss_G: -0.006934 Loss_D_real: -0.004298 Loss_D_fake 0.016464
[1177/5000][20/535][121358] Loss_D: -0.020221 Loss_G: 0.020662 Loss_D_real: -0.018746 Loss_D_fake 0.001476
[1177/5000][25/535][121359] Loss_D: -0.021873 Loss_G: -0.000496 Loss_D_real: -0.012805 Loss_D_fake 0.009068
[1177/5000][30/535][121360] Loss_D: -0.019264 Loss_G: 0.001377 Loss_D_real: -0.008187 Loss_D_fake 0.011077
[1177/5000][35/535][121361] Loss_D: -0.020261 Loss_G: 0.020214 Loss_D_real: -0.021999 Loss_D_fake -0.001738
[1177/5000][40/535][121362] Loss_D: -0.020929 Loss_G: 0.004578 Loss_D_real: -0.022400 Loss_D_fake -0.001471
[1177/5000][45/535][121363] Loss_D: -0.019853 Loss_G: 0.017858 Loss_D_real: -0.018326 Loss_D_fake 0.001526
[1177/5000][50/535][121364] Loss_D: -0.019936 Loss_G: 0.003547 Loss_D_real: -0.022288 Loss_D_fake -0.002351
[1177/5000][55/535][121365] Loss_D: -0.019775 Loss_G: 0.026203 Loss_D_real: -0.025267 Loss_D_fake -0.005492
[1177/5000][60/535][121366] Loss_D: -0.020983 Loss_G: 0.002325 Loss_D_real: -0.011176 Loss_D_fake 0.009807
[1177/5000][65/535][121367] Loss_D: -0.020225 Loss_G: 0.017636 Loss_D_real: -0.030693 Loss_D_fake -0.010468
[1177/5000][70/535][121368] Loss_D: -0.019842 Loss_G: 0.006365 Loss_D_real: -0.024175 Loss_D_fake -0.004333
[1177/5000][75/535][121369] Loss_D: -0.021062 Loss_G: -0.021033 Loss_D_real: -0.006449 Loss_D_fake 0.014613
[1177/5000][80/535][121370] Loss_D: -0.021982 Loss_G: 0.003088 Loss_D_real: -0.002520 Loss_D_fake 0.019462
[1177/5000][85/535][121371] Loss_D: -0.021440 Loss_G: 0.005545 Loss_D_real: -0.009696 Loss_D_fake 0.011744
[1177/5000][90/535][121372] Loss_D: -0.020973 Loss_G: -0.001458 Loss_D_real: -0.014506 Loss_D_fake 0.006467
[1177/5000][95/535][121373] Loss_D: -0.020661 Loss_G: 0.009369 Loss_D_real: -0.023177 Loss_D_fake -0.002515
[1177/5000][100/535][121374] Loss_D: -0.019150 Loss_G: -0.014735 Loss_D_real: 0.001897 Loss_D_fake 0.021046
[1177/5000][105/535][121375] Loss_D: -0.020440 Loss_G: 0.018822 Loss_D_real: -0.015801 Loss_D_fake 0.004639
[1177/5000][110/535][121376] Loss_D: -0.021399 Loss_G: -0.001866 Loss_D_real: -0.015192 Loss_D_fake 0.006207
[1177/5000][115/535][121377] Loss_D: -0.020302 Loss_G: -0.001732 Loss_D_real: -0.004214 Loss_D_fake 0.016088
[1177/5000][120/535][121378] Loss_D: -0.020331 Loss_G: 0.016139 Loss_D_real: -0.032804 Loss_D_fake -0.012473
[1177/5000][125/535][121379] Loss_D: -0.021197 Loss_G: 0.000032 Loss_D_real: -0.014319 Loss_D_fake 0.006878
[1177/5000][130/535][121380] Loss_D: -0.021649 Loss_G: 0.012358 Loss_D_real: -0.025577 Loss_D_fake -0.003928
[1177/5000][135/535][121381] Loss_D: -0.020993 Loss_G: 0.003828 Loss_D_real: -0.001107 Loss_D_fake 0.019887
[1177/5000][140/535][121382] Loss_D: -0.020985 Loss_G: 0.006448 Loss_D_real: -0.017073 Loss_D_fake 0.003912
[1177/5000][145/535][121383] Loss_D: -0.021209 Loss_G: -0.004297 Loss_D_real: -0.011426 Loss_D_fake 0.009783
[1177/5000][150/535][121384] Loss_D: -0.021953 Loss_G: 0.008141 Loss_D_real: -0.015278 Loss_D_fake 0.006675
[1177/5000][155/535][121385] Loss_D: -0.021457 Loss_G: -0.001462 Loss_D_real: -0.008071 Loss_D_fake 0.013387
[1177/5000][160/535][121386] Loss_D: -0.019945 Loss_G: 0.007479 Loss_D_real: -0.026085 Loss_D_fake -0.006139
[1177/5000][165/535][121387] Loss_D: -0.019042 Loss_G: -0.002681 Loss_D_real: -0.007489 Loss_D_fake 0.011553
[1177/5000][170/535][121388] Loss_D: -0.019825 Loss_G: 0.009044 Loss_D_real: -0.023971 Loss_D_fake -0.004146
[1177/5000][175/535][121389] Loss_D: -0.020228 Loss_G: 0.016376 Loss_D_real: -0.034539 Loss_D_fake -0.014312
[1177/5000][180/535][121390] Loss_D: -0.021516 Loss_G: -0.003665 Loss_D_real: -0.012875 Loss_D_fake 0.008642
[1177/5000][185/535][121391] Loss_D: -0.020585 Loss_G: -0.008955 Loss_D_real: -0.006708 Loss_D_fake 0.013877
[1177/5000][190/535][121392] Loss_D: -0.018787 Loss_G: -0.007558 Loss_D_real: -0.015643 Loss_D_fake 0.003145
[1177/5000][195/535][121393] Loss_D: -0.020926 Loss_G: 0.022787 Loss_D_real: -0.030605 Loss_D_fake -0.009679
[1177/5000][200/535][121394] Loss_D: -0.019054 Loss_G: 0.023729 Loss_D_real: -0.023076 Loss_D_fake -0.004021
[1177/5000][205/535][121395] Loss_D: -0.020768 Loss_G: 0.010432 Loss_D_real: -0.022492 Loss_D_fake -0.001723
[1177/5000][210/535][121396] Loss_D: -0.020750 Loss_G: 0.029572 Loss_D_real: -0.030164 Loss_D_fake -0.009414
[1177/5000][215/535][121397] Loss_D: -0.020488 Loss_G: -0.011050 Loss_D_real: -0.020230 Loss_D_fake 0.000258
[1177/5000][220/535][121398] Loss_D: -0.020466 Loss_G: 0.018417 Loss_D_real: -0.024599 Loss_D_fake -0.004133
[1177/5000][225/535][121399] Loss_D: -0.020016 Loss_G: -0.002206 Loss_D_real: -0.020455 Loss_D_fake -0.000439
[1177/5000][230/535][121400] Loss_D: -0.021474 Loss_G: -0.002383 Loss_D_real: -0.003360 Loss_D_fake 0.018114
[1177/5000][235/535][121401] Loss_D: -0.020847 Loss_G: 0.020066 Loss_D_real: -0.032212 Loss_D_fake -0.011365
[1177/5000][240/535][121402] Loss_D: -0.020276 Loss_G: 0.026054 Loss_D_real: -0.024125 Loss_D_fake -0.003849
[1177/5000][245/535][121403] Loss_D: -0.021566 Loss_G: 0.001889 Loss_D_real: -0.010988 Loss_D_fake 0.010578
[1177/5000][250/535][121404] Loss_D: -0.020262 Loss_G: 0.005129 Loss_D_real: -0.020457 Loss_D_fake -0.000195
[1177/5000][255/535][121405] Loss_D: -0.020498 Loss_G: -0.002358 Loss_D_real: -0.006803 Loss_D_fake 0.013695
[1177/5000][260/535][121406] Loss_D: -0.019410 Loss_G: -0.002814 Loss_D_real: -0.002272 Loss_D_fake 0.017138
[1177/5000][265/535][121407] Loss_D: -0.021083 Loss_G: 0.001237 Loss_D_real: -0.015012 Loss_D_fake 0.006071
[1177/5000][270/535][121408] Loss_D: -0.020984 Loss_G: -0.000599 Loss_D_real: -0.017967 Loss_D_fake 0.003017
[1177/5000][275/535][121409] Loss_D: -0.023137 Loss_G: 0.015597 Loss_D_real: -0.025555 Loss_D_fake -0.002418
[1177/5000][280/535][121410] Loss_D: -0.021040 Loss_G: 0.018483 Loss_D_real: -0.023603 Loss_D_fake -0.002562
[1177/5000][285/535][121411] Loss_D: -0.021248 Loss_G: 0.003050 Loss_D_real: -0.019442 Loss_D_fake 0.001807
[1177/5000][290/535][121412] Loss_D: -0.021727 Loss_G: 0.006097 Loss_D_real: -0.020273 Loss_D_fake 0.001454
[1177/5000][295/535][121413] Loss_D: -0.021027 Loss_G: -0.002219 Loss_D_real: -0.011680 Loss_D_fake 0.009347
[1177/5000][300/535][121414] Loss_D: -0.021290 Loss_G: 0.000888 Loss_D_real: -0.012086 Loss_D_fake 0.009204
[1177/5000][305/535][121415] Loss_D: -0.020270 Loss_G: 0.019300 Loss_D_real: -0.028461 Loss_D_fake -0.008191
[1177/5000][310/535][121416] Loss_D: -0.019928 Loss_G: 0.028696 Loss_D_real: -0.027603 Loss_D_fake -0.007676
[1177/5000][315/535][121417] Loss_D: -0.020510 Loss_G: -0.005694 Loss_D_real: -0.006507 Loss_D_fake 0.014003
[1177/5000][320/535][121418] Loss_D: -0.021745 Loss_G: 0.013909 Loss_D_real: -0.033308 Loss_D_fake -0.011563
[1177/5000][325/535][121419] Loss_D: -0.020850 Loss_G: 0.009064 Loss_D_real: -0.031427 Loss_D_fake -0.010577
[1177/5000][330/535][121420] Loss_D: -0.019962 Loss_G: 0.007664 Loss_D_real: -0.021532 Loss_D_fake -0.001570
[1177/5000][335/535][121421] Loss_D: -0.021892 Loss_G: 0.000697 Loss_D_real: -0.011976 Loss_D_fake 0.009915
[1177/5000][340/535][121422] Loss_D: -0.020015 Loss_G: 0.002485 Loss_D_real: -0.013106 Loss_D_fake 0.006909
[1177/5000][345/535][121423] Loss_D: -0.021991 Loss_G: 0.012671 Loss_D_real: -0.021997 Loss_D_fake -0.000006
[1177/5000][350/535][121424] Loss_D: -0.020791 Loss_G: 0.007995 Loss_D_real: -0.007280 Loss_D_fake 0.013511
[1177/5000][355/535][121425] Loss_D: -0.021043 Loss_G: 0.009054 Loss_D_real: -0.015913 Loss_D_fake 0.005129
[1177/5000][360/535][121426] Loss_D: -0.020351 Loss_G: 0.004449 Loss_D_real: -0.021503 Loss_D_fake -0.001152
[1177/5000][365/535][121427] Loss_D: -0.020507 Loss_G: 0.000949 Loss_D_real: -0.010922 Loss_D_fake 0.009584
[1177/5000][370/535][121428] Loss_D: -0.020869 Loss_G: 0.011741 Loss_D_real: -0.028858 Loss_D_fake -0.007989
[1177/5000][375/535][121429] Loss_D: -0.019942 Loss_G: 0.004440 Loss_D_real: -0.027459 Loss_D_fake -0.007517
[1177/5000][380/535][121430] Loss_D: -0.020549 Loss_G: 0.009047 Loss_D_real: -0.014591 Loss_D_fake 0.005957
[1177/5000][385/535][121431] Loss_D: -0.019487 Loss_G: 0.010845 Loss_D_real: -0.033676 Loss_D_fake -0.014189
[1177/5000][390/535][121432] Loss_D: -0.020714 Loss_G: -0.000051 Loss_D_real: 0.001943 Loss_D_fake 0.022657
[1177/5000][395/535][121433] Loss_D: -0.019499 Loss_G: 0.014604 Loss_D_real: -0.016194 Loss_D_fake 0.003304
[1177/5000][400/535][121434] Loss_D: -0.022136 Loss_G: 0.006775 Loss_D_real: -0.021383 Loss_D_fake 0.000753
[1177/5000][405/535][121435] Loss_D: -0.021528 Loss_G: 0.008062 Loss_D_real: -0.025707 Loss_D_fake -0.004179
[1177/5000][410/535][121436] Loss_D: -0.021132 Loss_G: -0.008054 Loss_D_real: -0.003591 Loss_D_fake 0.017542
[1177/5000][415/535][121437] Loss_D: -0.020534 Loss_G: 0.027989 Loss_D_real: -0.025507 Loss_D_fake -0.004973
[1177/5000][420/535][121438] Loss_D: -0.020580 Loss_G: 0.006238 Loss_D_real: -0.030361 Loss_D_fake -0.009781
[1177/5000][425/535][121439] Loss_D: -0.021053 Loss_G: 0.017004 Loss_D_real: -0.028772 Loss_D_fake -0.007719
[1177/5000][430/535][121440] Loss_D: -0.021333 Loss_G: 0.009463 Loss_D_real: -0.021874 Loss_D_fake -0.000541
[1177/5000][435/535][121441] Loss_D: -0.020742 Loss_G: -0.009986 Loss_D_real: -0.006835 Loss_D_fake 0.013906
[1177/5000][440/535][121442] Loss_D: -0.020085 Loss_G: 0.002800 Loss_D_real: -0.013793 Loss_D_fake 0.006292
[1177/5000][445/535][121443] Loss_D: -0.019699 Loss_G: 0.002904 Loss_D_real: -0.016579 Loss_D_fake 0.003119
[1177/5000][450/535][121444] Loss_D: -0.021364 Loss_G: 0.004506 Loss_D_real: -0.015277 Loss_D_fake 0.006087
[1177/5000][455/535][121445] Loss_D: -0.019787 Loss_G: 0.008162 Loss_D_real: -0.020659 Loss_D_fake -0.000872
[1177/5000][460/535][121446] Loss_D: -0.021344 Loss_G: -0.003433 Loss_D_real: -0.013353 Loss_D_fake 0.007991
[1177/5000][465/535][121447] Loss_D: -0.019550 Loss_G: -0.004115 Loss_D_real: -0.011720 Loss_D_fake 0.007830
[1177/5000][470/535][121448] Loss_D: -0.019815 Loss_G: -0.010816 Loss_D_real: -0.006926 Loss_D_fake 0.012889
[1177/5000][475/535][121449] Loss_D: -0.020660 Loss_G: 0.002710 Loss_D_real: -0.016450 Loss_D_fake 0.004210
[1177/5000][480/535][121450] Loss_D: -0.021052 Loss_G: 0.017981 Loss_D_real: -0.025944 Loss_D_fake -0.004892
[1177/5000][485/535][121451] Loss_D: -0.019812 Loss_G: -0.006076 Loss_D_real: -0.000164 Loss_D_fake 0.019648
[1177/5000][490/535][121452] Loss_D: -0.018485 Loss_G: 0.030971 Loss_D_real: -0.027911 Loss_D_fake -0.009425
[1177/5000][495/535][121453] Loss_D: -0.020972 Loss_G: 0.004700 Loss_D_real: -0.000465 Loss_D_fake 0.020507
[1177/5000][500/535][121454] Loss_D: -0.020822 Loss_G: 0.012779 Loss_D_real: -0.032585 Loss_D_fake -0.011763
[1177/5000][505/535][121455] Loss_D: -0.021368 Loss_G: 0.014872 Loss_D_real: -0.023517 Loss_D_fake -0.002148
[1177/5000][510/535][121456] Loss_D: -0.022428 Loss_G: 0.003712 Loss_D_real: -0.015440 Loss_D_fake 0.006989
[1177/5000][515/535][121457] Loss_D: -0.021268 Loss_G: 0.014285 Loss_D_real: -0.027065 Loss_D_fake -0.005797
[1177/5000][520/535][121458] Loss_D: -0.021054 Loss_G: 0.006913 Loss_D_real: -0.013776 Loss_D_fake 0.007278
[1177/5000][525/535][121459] Loss_D: -0.021861 Loss_G: 0.015203 Loss_D_real: -0.028709 Loss_D_fake -0.006848
[1177/5000][530/535][121460] Loss_D: -0.021001 Loss_G: -0.013793 Loss_D_real: -0.006508 Loss_D_fake 0.014493
[1177/5000][535/535][121461] Loss_D: -0.022898 Loss_G: 0.013629 Loss_D_real: -0.013869 Loss_D_fake 0.009029
[1178/5000][5/535][121462] Loss_D: -0.019433 Loss_G: 0.022238 Loss_D_real: -0.014063 Loss_D_fake 0.005370
[1178/5000][10/535][121463] Loss_D: -0.016977 Loss_G: 0.024345 Loss_D_real: -0.037299 Loss_D_fake -0.020322
[1178/5000][15/535][121464] Loss_D: -0.020847 Loss_G: -0.009055 Loss_D_real: -0.004272 Loss_D_fake 0.016575
[1178/5000][20/535][121465] Loss_D: -0.021074 Loss_G: -0.001268 Loss_D_real: -0.018734 Loss_D_fake 0.002341
[1178/5000][25/535][121466] Loss_D: -0.021023 Loss_G: -0.000972 Loss_D_real: 0.004138 Loss_D_fake 0.025161
[1178/5000][30/535][121467] Loss_D: -0.020240 Loss_G: 0.008589 Loss_D_real: -0.018781 Loss_D_fake 0.001459
[1178/5000][35/535][121468] Loss_D: -0.019767 Loss_G: 0.005144 Loss_D_real: -0.021944 Loss_D_fake -0.002177
[1178/5000][40/535][121469] Loss_D: -0.021976 Loss_G: 0.016972 Loss_D_real: -0.017403 Loss_D_fake 0.004573
[1178/5000][45/535][121470] Loss_D: -0.021389 Loss_G: 0.001850 Loss_D_real: -0.019628 Loss_D_fake 0.001761
[1178/5000][50/535][121471] Loss_D: -0.022301 Loss_G: 0.005873 Loss_D_real: -0.022485 Loss_D_fake -0.000184
[1178/5000][55/535][121472] Loss_D: -0.021737 Loss_G: 0.002769 Loss_D_real: -0.020008 Loss_D_fake 0.001729
[1178/5000][60/535][121473] Loss_D: -0.020881 Loss_G: 0.008587 Loss_D_real: -0.007743 Loss_D_fake 0.013137
[1178/5000][65/535][121474] Loss_D: -0.021078 Loss_G: 0.011599 Loss_D_real: -0.022208 Loss_D_fake -0.001130
[1178/5000][70/535][121475] Loss_D: -0.019880 Loss_G: 0.026541 Loss_D_real: -0.025544 Loss_D_fake -0.005664
[1178/5000][75/535][121476] Loss_D: -0.019634 Loss_G: 0.006465 Loss_D_real: -0.019521 Loss_D_fake 0.000113
[1178/5000][80/535][121477] Loss_D: -0.019743 Loss_G: 0.011180 Loss_D_real: -0.017922 Loss_D_fake 0.001821
[1178/5000][85/535][121478] Loss_D: -0.020283 Loss_G: 0.021560 Loss_D_real: -0.026600 Loss_D_fake -0.006317
[1178/5000][90/535][121479] Loss_D: -0.020557 Loss_G: 0.009453 Loss_D_real: -0.036704 Loss_D_fake -0.016147
[1178/5000][95/535][121480] Loss_D: -0.020873 Loss_G: 0.002568 Loss_D_real: -0.024244 Loss_D_fake -0.003372
[1178/5000][100/535][121481] Loss_D: -0.020569 Loss_G: 0.011390 Loss_D_real: -0.031618 Loss_D_fake -0.011050
[1178/5000][105/535][121482] Loss_D: -0.020228 Loss_G: 0.017452 Loss_D_real: -0.022810 Loss_D_fake -0.002582
[1178/5000][110/535][121483] Loss_D: -0.021983 Loss_G: 0.011369 Loss_D_real: -0.018130 Loss_D_fake 0.003852
[1178/5000][115/535][121484] Loss_D: -0.020905 Loss_G: 0.009027 Loss_D_real: -0.022006 Loss_D_fake -0.001101
[1178/5000][120/535][121485] Loss_D: -0.020682 Loss_G: 0.016045 Loss_D_real: -0.031090 Loss_D_fake -0.010408
[1178/5000][125/535][121486] Loss_D: -0.021045 Loss_G: 0.004237 Loss_D_real: -0.018666 Loss_D_fake 0.002379
[1178/5000][130/535][121487] Loss_D: -0.021300 Loss_G: 0.013859 Loss_D_real: -0.019223 Loss_D_fake 0.002076
[1178/5000][135/535][121488] Loss_D: -0.018831 Loss_G: 0.000171 Loss_D_real: -0.011630 Loss_D_fake 0.007202
[1178/5000][140/535][121489] Loss_D: -0.020406 Loss_G: 0.000909 Loss_D_real: -0.003737 Loss_D_fake 0.016669
[1178/5000][145/535][121490] Loss_D: -0.020150 Loss_G: 0.009650 Loss_D_real: -0.026495 Loss_D_fake -0.006345
[1178/5000][150/535][121491] Loss_D: -0.020840 Loss_G: -0.001858 Loss_D_real: -0.017425 Loss_D_fake 0.003415
[1178/5000][155/535][121492] Loss_D: -0.022652 Loss_G: 0.016439 Loss_D_real: -0.011802 Loss_D_fake 0.010850
[1178/5000][160/535][121493] Loss_D: -0.021402 Loss_G: -0.010896 Loss_D_real: -0.010113 Loss_D_fake 0.011289
[1178/5000][165/535][121494] Loss_D: -0.020823 Loss_G: 0.022747 Loss_D_real: -0.018807 Loss_D_fake 0.002016
[1178/5000][170/535][121495] Loss_D: -0.020130 Loss_G: 0.010310 Loss_D_real: -0.023254 Loss_D_fake -0.003123
[1178/5000][175/535][121496] Loss_D: -0.020587 Loss_G: 0.014842 Loss_D_real: -0.031213 Loss_D_fake -0.010626
[1178/5000][180/535][121497] Loss_D: -0.021434 Loss_G: 0.026325 Loss_D_real: -0.022013 Loss_D_fake -0.000579
[1178/5000][185/535][121498] Loss_D: -0.021027 Loss_G: 0.020132 Loss_D_real: -0.026720 Loss_D_fake -0.005693
[1178/5000][190/535][121499] Loss_D: -0.020700 Loss_G: 0.012664 Loss_D_real: -0.024755 Loss_D_fake -0.004055
[1178/5000][195/535][121500] Loss_D: -0.021491 Loss_G: 0.003518 Loss_D_real: -0.022423 Loss_D_fake -0.000932
[1178/5000][295/535][121501] Loss_D: -0.023691 Loss_G: -0.005444 Loss_D_real: 0.004723 Loss_D_fake 0.028414
[1178/5000][300/535][121502] Loss_D: -0.019908 Loss_G: -0.008555 Loss_D_real: -0.017570 Loss_D_fake 0.002339
[1178/5000][305/535][121503] Loss_D: -0.018712 Loss_G: 0.017195 Loss_D_real: -0.027377 Loss_D_fake -0.008665
[1178/5000][310/535][121504] Loss_D: -0.020510 Loss_G: -0.002480 Loss_D_real: -0.019004 Loss_D_fake 0.001506
[1178/5000][315/535][121505] Loss_D: -0.019614 Loss_G: 0.000934 Loss_D_real: -0.017195 Loss_D_fake 0.002419
[1178/5000][320/535][121506] Loss_D: -0.019078 Loss_G: 0.009262 Loss_D_real: -0.010591 Loss_D_fake 0.008487
[1178/5000][325/535][121507] Loss_D: -0.019011 Loss_G: 0.018502 Loss_D_real: -0.018961 Loss_D_fake 0.000051
[1178/5000][330/535][121508] Loss_D: -0.019324 Loss_G: -0.008171 Loss_D_real: -0.007431 Loss_D_fake 0.011892
[1178/5000][335/535][121509] Loss_D: -0.019712 Loss_G: 0.012043 Loss_D_real: -0.012843 Loss_D_fake 0.006869
[1178/5000][340/535][121510] Loss_D: -0.020855 Loss_G: 0.002560 Loss_D_real: -0.019852 Loss_D_fake 0.001003
[1178/5000][345/535][121511] Loss_D: -0.020339 Loss_G: 0.006653 Loss_D_real: -0.023951 Loss_D_fake -0.003612
[1178/5000][350/535][121512] Loss_D: -0.021070 Loss_G: 0.005795 Loss_D_real: -0.013773 Loss_D_fake 0.007298
[1178/5000][355/535][121513] Loss_D: -0.020560 Loss_G: 0.001368 Loss_D_real: -0.017547 Loss_D_fake 0.003012
[1178/5000][360/535][121514] Loss_D: -0.019021 Loss_G: -0.013253 Loss_D_real: -0.003335 Loss_D_fake 0.015686
[1178/5000][365/535][121515] Loss_D: -0.019219 Loss_G: -0.008747 Loss_D_real: -0.005184 Loss_D_fake 0.014035
[1178/5000][370/535][121516] Loss_D: -0.020128 Loss_G: -0.002521 Loss_D_real: -0.005554 Loss_D_fake 0.014574
[1178/5000][375/535][121517] Loss_D: -0.020526 Loss_G: -0.009701 Loss_D_real: -0.016890 Loss_D_fake 0.003636
[1178/5000][380/535][121518] Loss_D: -0.017568 Loss_G: 0.031144 Loss_D_real: -0.037870 Loss_D_fake -0.020302
[1178/5000][385/535][121519] Loss_D: -0.020019 Loss_G: 0.003439 Loss_D_real: -0.019338 Loss_D_fake 0.000681
[1178/5000][390/535][121520] Loss_D: -0.020385 Loss_G: -0.001412 Loss_D_real: -0.010126 Loss_D_fake 0.010259
[1178/5000][395/535][121521] Loss_D: -0.021478 Loss_G: 0.018273 Loss_D_real: -0.034233 Loss_D_fake -0.012755
[1178/5000][400/535][121522] Loss_D: -0.020192 Loss_G: 0.012181 Loss_D_real: -0.019907 Loss_D_fake 0.000284
[1178/5000][405/535][121523] Loss_D: -0.020919 Loss_G: -0.002757 Loss_D_real: -0.004998 Loss_D_fake 0.015921
[1178/5000][410/535][121524] Loss_D: -0.020461 Loss_G: -0.012561 Loss_D_real: -0.008145 Loss_D_fake 0.012316
[1178/5000][415/535][121525] Loss_D: -0.019840 Loss_G: 0.018321 Loss_D_real: -0.028699 Loss_D_fake -0.008859
[1178/5000][420/535][121526] Loss_D: -0.018513 Loss_G: 0.025107 Loss_D_real: -0.028985 Loss_D_fake -0.010472
[1178/5000][425/535][121527] Loss_D: -0.020321 Loss_G: 0.000767 Loss_D_real: -0.009549 Loss_D_fake 0.010772
[1178/5000][430/535][121528] Loss_D: -0.019416 Loss_G: -0.003607 Loss_D_real: -0.015051 Loss_D_fake 0.004365
[1178/5000][435/535][121529] Loss_D: -0.021349 Loss_G: 0.005494 Loss_D_real: -0.032401 Loss_D_fake -0.011052
[1178/5000][440/535][121530] Loss_D: -0.017913 Loss_G: 0.022917 Loss_D_real: -0.016123 Loss_D_fake 0.001790
[1178/5000][445/535][121531] Loss_D: -0.020288 Loss_G: 0.009235 Loss_D_real: -0.014612 Loss_D_fake 0.005676
[1178/5000][450/535][121532] Loss_D: -0.021803 Loss_G: 0.001887 Loss_D_real: -0.009332 Loss_D_fake 0.012471
[1178/5000][455/535][121533] Loss_D: -0.020233 Loss_G: -0.008431 Loss_D_real: -0.017409 Loss_D_fake 0.002824
[1178/5000][460/535][121534] Loss_D: -0.021215 Loss_G: 0.011455 Loss_D_real: -0.002309 Loss_D_fake 0.018906
[1178/5000][465/535][121535] Loss_D: -0.021778 Loss_G: 0.013672 Loss_D_real: -0.021704 Loss_D_fake 0.000074
[1178/5000][470/535][121536] Loss_D: -0.019778 Loss_G: 0.005616 Loss_D_real: -0.021962 Loss_D_fake -0.002184
[1178/5000][475/535][121537] Loss_D: -0.019929 Loss_G: -0.014220 Loss_D_real: -0.004499 Loss_D_fake 0.015430
[1178/5000][480/535][121538] Loss_D: -0.020780 Loss_G: -0.002244 Loss_D_real: -0.007336 Loss_D_fake 0.013444
[1178/5000][485/535][121539] Loss_D: -0.019801 Loss_G: 0.013412 Loss_D_real: -0.013325 Loss_D_fake 0.006476
[1178/5000][490/535][121540] Loss_D: -0.018753 Loss_G: 0.012221 Loss_D_real: -0.021996 Loss_D_fake -0.003243
[1178/5000][495/535][121541] Loss_D: -0.020958 Loss_G: 0.007061 Loss_D_real: -0.017736 Loss_D_fake 0.003222
[1178/5000][500/535][121542] Loss_D: -0.020571 Loss_G: 0.001213 Loss_D_real: -0.020525 Loss_D_fake 0.000046
[1178/5000][505/535][121543] Loss_D: -0.021940 Loss_G: -0.011209 Loss_D_real: -0.015799 Loss_D_fake 0.006141
[1178/5000][510/535][121544] Loss_D: -0.021196 Loss_G: 0.032048 Loss_D_real: -0.026457 Loss_D_fake -0.005262
[1178/5000][515/535][121545] Loss_D: -0.020330 Loss_G: 0.013311 Loss_D_real: -0.021167 Loss_D_fake -0.000836
[1178/5000][520/535][121546] Loss_D: -0.019802 Loss_G: 0.006538 Loss_D_real: -0.015296 Loss_D_fake 0.004506
[1178/5000][525/535][121547] Loss_D: -0.019517 Loss_G: 0.004804 Loss_D_real: -0.028033 Loss_D_fake -0.008515
[1178/5000][530/535][121548] Loss_D: -0.020593 Loss_G: -0.010813 Loss_D_real: -0.000276 Loss_D_fake 0.020317
[1178/5000][535/535][121549] Loss_D: -0.019640 Loss_G: -0.015078 Loss_D_real: -0.005495 Loss_D_fake 0.014144
[1179/5000][5/535][121550] Loss_D: -0.022089 Loss_G: -0.000019 Loss_D_real: -0.005661 Loss_D_fake 0.016428
[1179/5000][10/535][121551] Loss_D: -0.020501 Loss_G: 0.009718 Loss_D_real: -0.017862 Loss_D_fake 0.002639
[1179/5000][15/535][121552] Loss_D: -0.022003 Loss_G: 0.014174 Loss_D_real: -0.020825 Loss_D_fake 0.001178
[1179/5000][20/535][121553] Loss_D: -0.020306 Loss_G: 0.023770 Loss_D_real: -0.030159 Loss_D_fake -0.009853
[1179/5000][25/535][121554] Loss_D: -0.021911 Loss_G: -0.003017 Loss_D_real: 0.001288 Loss_D_fake 0.023199
[1179/5000][30/535][121555] Loss_D: -0.019891 Loss_G: 0.014837 Loss_D_real: -0.014430 Loss_D_fake 0.005461
[1179/5000][35/535][121556] Loss_D: -0.020337 Loss_G: 0.020937 Loss_D_real: -0.022804 Loss_D_fake -0.002468
[1179/5000][40/535][121557] Loss_D: -0.021251 Loss_G: 0.013555 Loss_D_real: -0.023477 Loss_D_fake -0.002226
[1179/5000][45/535][121558] Loss_D: -0.021474 Loss_G: 0.006077 Loss_D_real: -0.016066 Loss_D_fake 0.005407
[1179/5000][50/535][121559] Loss_D: -0.021103 Loss_G: 0.002646 Loss_D_real: -0.018765 Loss_D_fake 0.002338
[1179/5000][55/535][121560] Loss_D: -0.021113 Loss_G: 0.009733 Loss_D_real: -0.015227 Loss_D_fake 0.005886
[1179/5000][60/535][121561] Loss_D: -0.020865 Loss_G: -0.007281 Loss_D_real: -0.004029 Loss_D_fake 0.016836
[1179/5000][65/535][121562] Loss_D: -0.019746 Loss_G: 0.020428 Loss_D_real: -0.025246 Loss_D_fake -0.005500
[1179/5000][70/535][121563] Loss_D: -0.020943 Loss_G: 0.006704 Loss_D_real: -0.027656 Loss_D_fake -0.006713
[1179/5000][75/535][121564] Loss_D: -0.021040 Loss_G: 0.006059 Loss_D_real: -0.015983 Loss_D_fake 0.005057
[1179/5000][80/535][121565] Loss_D: -0.020621 Loss_G: 0.002694 Loss_D_real: -0.014631 Loss_D_fake 0.005990
[1179/5000][85/535][121566] Loss_D: -0.021084 Loss_G: 0.016865 Loss_D_real: -0.024820 Loss_D_fake -0.003736
[1179/5000][90/535][121567] Loss_D: -0.020547 Loss_G: 0.001268 Loss_D_real: -0.017863 Loss_D_fake 0.002684
[1179/5000][95/535][121568] Loss_D: -0.021176 Loss_G: -0.000655 Loss_D_real: -0.002464 Loss_D_fake 0.018712
[1179/5000][100/535][121569] Loss_D: -0.019374 Loss_G: 0.022192 Loss_D_real: -0.028144 Loss_D_fake -0.008770
[1179/5000][105/535][121570] Loss_D: -0.020265 Loss_G: 0.004669 Loss_D_real: -0.020607 Loss_D_fake -0.000343
[1179/5000][110/535][121571] Loss_D: -0.019991 Loss_G: 0.023425 Loss_D_real: -0.027853 Loss_D_fake -0.007862
[1179/5000][115/535][121572] Loss_D: -0.020455 Loss_G: 0.000621 Loss_D_real: -0.020472 Loss_D_fake -0.000017
[1179/5000][120/535][121573] Loss_D: -0.020370 Loss_G: 0.024449 Loss_D_real: -0.026603 Loss_D_fake -0.006233
[1179/5000][125/535][121574] Loss_D: -0.021423 Loss_G: -0.001990 Loss_D_real: -0.024541 Loss_D_fake -0.003119
[1179/5000][130/535][121575] Loss_D: -0.021235 Loss_G: 0.022797 Loss_D_real: -0.025022 Loss_D_fake -0.003786
[1179/5000][135/535][121576] Loss_D: -0.020873 Loss_G: -0.010261 Loss_D_real: -0.004784 Loss_D_fake 0.016090
[1179/5000][140/535][121577] Loss_D: -0.019462 Loss_G: 0.006543 Loss_D_real: -0.027582 Loss_D_fake -0.008120
[1179/5000][145/535][121578] Loss_D: -0.021652 Loss_G: 0.024774 Loss_D_real: -0.021505 Loss_D_fake 0.000148
[1179/5000][150/535][121579] Loss_D: -0.021434 Loss_G: -0.011126 Loss_D_real: -0.002939 Loss_D_fake 0.018495
[1179/5000][155/535][121580] Loss_D: -0.019227 Loss_G: 0.020133 Loss_D_real: -0.020047 Loss_D_fake -0.000821
[1179/5000][160/535][121581] Loss_D: -0.020170 Loss_G: -0.002592 Loss_D_real: -0.006606 Loss_D_fake 0.013564
[1179/5000][165/535][121582] Loss_D: -0.020701 Loss_G: 0.005278 Loss_D_real: -0.018533 Loss_D_fake 0.002167
[1179/5000][170/535][121583] Loss_D: -0.020044 Loss_G: 0.004408 Loss_D_real: -0.010748 Loss_D_fake 0.009296
[1179/5000][175/535][121584] Loss_D: -0.020997 Loss_G: 0.009103 Loss_D_real: -0.020842 Loss_D_fake 0.000155
[1179/5000][180/535][121585] Loss_D: -0.020919 Loss_G: 0.010464 Loss_D_real: -0.022083 Loss_D_fake -0.001164
[1179/5000][185/535][121586] Loss_D: -0.020159 Loss_G: -0.013667 Loss_D_real: -0.011323 Loss_D_fake 0.008836
[1179/5000][190/535][121587] Loss_D: -0.020126 Loss_G: 0.008638 Loss_D_real: -0.020931 Loss_D_fake -0.000805
[1179/5000][195/535][121588] Loss_D: -0.019609 Loss_G: -0.013437 Loss_D_real: -0.010573 Loss_D_fake 0.009036
[1179/5000][200/535][121589] Loss_D: -0.019379 Loss_G: 0.003950 Loss_D_real: -0.011237 Loss_D_fake 0.008142
[1179/5000][205/535][121590] Loss_D: -0.021337 Loss_G: 0.003382 Loss_D_real: -0.014176 Loss_D_fake 0.007161
[1179/5000][210/535][121591] Loss_D: -0.020385 Loss_G: -0.010800 Loss_D_real: -0.007187 Loss_D_fake 0.013197
[1179/5000][215/535][121592] Loss_D: -0.019862 Loss_G: 0.018308 Loss_D_real: -0.028347 Loss_D_fake -0.008484
[1179/5000][220/535][121593] Loss_D: -0.021018 Loss_G: 0.016717 Loss_D_real: -0.026438 Loss_D_fake -0.005420
[1179/5000][225/535][121594] Loss_D: -0.020383 Loss_G: 0.011885 Loss_D_real: -0.020869 Loss_D_fake -0.000485
[1179/5000][230/535][121595] Loss_D: -0.020046 Loss_G: -0.013249 Loss_D_real: -0.002829 Loss_D_fake 0.017218
[1179/5000][235/535][121596] Loss_D: -0.021021 Loss_G: 0.016749 Loss_D_real: -0.029412 Loss_D_fake -0.008391
[1179/5000][240/535][121597] Loss_D: -0.020534 Loss_G: 0.013864 Loss_D_real: -0.029167 Loss_D_fake -0.008633
[1179/5000][245/535][121598] Loss_D: -0.020016 Loss_G: 0.005005 Loss_D_real: -0.018254 Loss_D_fake 0.001762
[1179/5000][250/535][121599] Loss_D: -0.020437 Loss_G: -0.004366 Loss_D_real: -0.014637 Loss_D_fake 0.005800
[1179/5000][255/535][121600] Loss_D: -0.019166 Loss_G: -0.020142 Loss_D_real: 0.001915 Loss_D_fake 0.021082
[1179/5000][260/535][121601] Loss_D: -0.021845 Loss_G: 0.008414 Loss_D_real: -0.019957 Loss_D_fake 0.001888
[1179/5000][265/535][121602] Loss_D: -0.020728 Loss_G: 0.007284 Loss_D_real: -0.014715 Loss_D_fake 0.006013
[1179/5000][270/535][121603] Loss_D: -0.020134 Loss_G: 0.001251 Loss_D_real: -0.019945 Loss_D_fake 0.000189
[1179/5000][275/535][121604] Loss_D: -0.021724 Loss_G: 0.015362 Loss_D_real: -0.018927 Loss_D_fake 0.002796
[1179/5000][280/535][121605] Loss_D: -0.020231 Loss_G: 0.023103 Loss_D_real: -0.024977 Loss_D_fake -0.004746
[1179/5000][285/535][121606] Loss_D: -0.020768 Loss_G: 0.005798 Loss_D_real: -0.001351 Loss_D_fake 0.019417
[1179/5000][290/535][121607] Loss_D: -0.020854 Loss_G: 0.016068 Loss_D_real: -0.038634 Loss_D_fake -0.017780
[1179/5000][295/535][121608] Loss_D: -0.020228 Loss_G: 0.024210 Loss_D_real: -0.033281 Loss_D_fake -0.013053
[1179/5000][300/535][121609] Loss_D: -0.020140 Loss_G: 0.017223 Loss_D_real: -0.031635 Loss_D_fake -0.011494
[1179/5000][305/535][121610] Loss_D: -0.020161 Loss_G: -0.004388 Loss_D_real: 0.004268 Loss_D_fake 0.024429
[1179/5000][310/535][121611] Loss_D: -0.020638 Loss_G: 0.020180 Loss_D_real: -0.025861 Loss_D_fake -0.005224
[1179/5000][315/535][121612] Loss_D: -0.018936 Loss_G: 0.006130 Loss_D_real: -0.011383 Loss_D_fake 0.007552
[1179/5000][320/535][121613] Loss_D: -0.021134 Loss_G: 0.006908 Loss_D_real: -0.022026 Loss_D_fake -0.000893
[1179/5000][325/535][121614] Loss_D: -0.020812 Loss_G: 0.023720 Loss_D_real: -0.033825 Loss_D_fake -0.013013
[1179/5000][330/535][121615] Loss_D: -0.020867 Loss_G: -0.000976 Loss_D_real: -0.018162 Loss_D_fake 0.002705
[1179/5000][335/535][121616] Loss_D: -0.020047 Loss_G: -0.007783 Loss_D_real: -0.005434 Loss_D_fake 0.014614
[1179/5000][340/535][121617] Loss_D: -0.021087 Loss_G: 0.016112 Loss_D_real: -0.014991 Loss_D_fake 0.006096
[1179/5000][345/535][121618] Loss_D: -0.020723 Loss_G: 0.007967 Loss_D_real: -0.014415 Loss_D_fake 0.006308
[1179/5000][350/535][121619] Loss_D: -0.019818 Loss_G: 0.021389 Loss_D_real: -0.021380 Loss_D_fake -0.001563
[1179/5000][355/535][121620] Loss_D: -0.020812 Loss_G: 0.001803 Loss_D_real: -0.006013 Loss_D_fake 0.014799
[1179/5000][360/535][121621] Loss_D: -0.020200 Loss_G: 0.005047 Loss_D_real: -0.015622 Loss_D_fake 0.004577
[1179/5000][365/535][121622] Loss_D: -0.020610 Loss_G: 0.026869 Loss_D_real: -0.026196 Loss_D_fake -0.005586
[1179/5000][370/535][121623] Loss_D: -0.020746 Loss_G: 0.020276 Loss_D_real: -0.024738 Loss_D_fake -0.003992
[1179/5000][375/535][121624] Loss_D: -0.021023 Loss_G: -0.002053 Loss_D_real: -0.012204 Loss_D_fake 0.008819
[1179/5000][380/535][121625] Loss_D: -0.020763 Loss_G: 0.007389 Loss_D_real: -0.012966 Loss_D_fake 0.007797
[1179/5000][385/535][121626] Loss_D: -0.019683 Loss_G: -0.013044 Loss_D_real: -0.000532 Loss_D_fake 0.019151
[1179/5000][390/535][121627] Loss_D: -0.018102 Loss_G: 0.026299 Loss_D_real: -0.036472 Loss_D_fake -0.018369
[1179/5000][395/535][121628] Loss_D: -0.021616 Loss_G: -0.010512 Loss_D_real: -0.016583 Loss_D_fake 0.005032
[1179/5000][400/535][121629] Loss_D: -0.019554 Loss_G: 0.011022 Loss_D_real: -0.027953 Loss_D_fake -0.008400
[1179/5000][405/535][121630] Loss_D: -0.021189 Loss_G: -0.000253 Loss_D_real: -0.006173 Loss_D_fake 0.015016
[1179/5000][410/535][121631] Loss_D: -0.018998 Loss_G: 0.023460 Loss_D_real: -0.027951 Loss_D_fake -0.008952
[1179/5000][415/535][121632] Loss_D: -0.021173 Loss_G: 0.004741 Loss_D_real: -0.020147 Loss_D_fake 0.001025
[1179/5000][420/535][121633] Loss_D: -0.021025 Loss_G: 0.002275 Loss_D_real: -0.029657 Loss_D_fake -0.008632
[1179/5000][425/535][121634] Loss_D: -0.020748 Loss_G: -0.000623 Loss_D_real: -0.018057 Loss_D_fake 0.002691
[1179/5000][430/535][121635] Loss_D: -0.020797 Loss_G: 0.016304 Loss_D_real: -0.026454 Loss_D_fake -0.005657
[1179/5000][435/535][121636] Loss_D: -0.020970 Loss_G: 0.009306 Loss_D_real: -0.025078 Loss_D_fake -0.004108
[1179/5000][440/535][121637] Loss_D: -0.021540 Loss_G: -0.002483 Loss_D_real: -0.010275 Loss_D_fake 0.011265
[1179/5000][445/535][121638] Loss_D: -0.020164 Loss_G: -0.007485 Loss_D_real: -0.005586 Loss_D_fake 0.014578
[1179/5000][450/535][121639] Loss_D: -0.020395 Loss_G: 0.012167 Loss_D_real: -0.024591 Loss_D_fake -0.004196
[1179/5000][455/535][121640] Loss_D: -0.021627 Loss_G: -0.000125 Loss_D_real: -0.014920 Loss_D_fake 0.006707
[1179/5000][460/535][121641] Loss_D: -0.020009 Loss_G: 0.002439 Loss_D_real: -0.015911 Loss_D_fake 0.004097
[1179/5000][465/535][121642] Loss_D: -0.020055 Loss_G: -0.006741 Loss_D_real: -0.007537 Loss_D_fake 0.012518
[1179/5000][470/535][121643] Loss_D: -0.021274 Loss_G: 0.002539 Loss_D_real: -0.000594 Loss_D_fake 0.020680
[1179/5000][475/535][121644] Loss_D: -0.019755 Loss_G: 0.026392 Loss_D_real: -0.020368 Loss_D_fake -0.000613
[1179/5000][480/535][121645] Loss_D: -0.020266 Loss_G: 0.010455 Loss_D_real: -0.021559 Loss_D_fake -0.001293
[1179/5000][485/535][121646] Loss_D: -0.019885 Loss_G: -0.011247 Loss_D_real: -0.011993 Loss_D_fake 0.007892
[1179/5000][490/535][121647] Loss_D: -0.020456 Loss_G: 0.018942 Loss_D_real: -0.024212 Loss_D_fake -0.003756
[1179/5000][495/535][121648] Loss_D: -0.020559 Loss_G: -0.005778 Loss_D_real: -0.008377 Loss_D_fake 0.012182
[1179/5000][500/535][121649] Loss_D: -0.019642 Loss_G: -0.017687 Loss_D_real: -0.006544 Loss_D_fake 0.013098
[1179/5000][505/535][121650] Loss_D: -0.021076 Loss_G: 0.005498 Loss_D_real: -0.014931 Loss_D_fake 0.006145
[1179/5000][510/535][121651] Loss_D: -0.020366 Loss_G: 0.009197 Loss_D_real: -0.008812 Loss_D_fake 0.011554
[1179/5000][515/535][121652] Loss_D: -0.019475 Loss_G: 0.005514 Loss_D_real: -0.030022 Loss_D_fake -0.010547
[1179/5000][520/535][121653] Loss_D: -0.020314 Loss_G: -0.007392 Loss_D_real: -0.009032 Loss_D_fake 0.011281
[1179/5000][525/535][121654] Loss_D: -0.020289 Loss_G: 0.006044 Loss_D_real: -0.012886 Loss_D_fake 0.007402
[1179/5000][530/535][121655] Loss_D: -0.020185 Loss_G: 0.012891 Loss_D_real: -0.027102 Loss_D_fake -0.006916
[1179/5000][535/535][121656] Loss_D: -0.020685 Loss_G: 0.039372 Loss_D_real: -0.018795 Loss_D_fake 0.001890
[1180/5000][5/535][121657] Loss_D: -0.021088 Loss_G: 0.006564 Loss_D_real: -0.017169 Loss_D_fake 0.003919
[1180/5000][10/535][121658] Loss_D: -0.021084 Loss_G: 0.020073 Loss_D_real: -0.026195 Loss_D_fake -0.005111
[1180/5000][15/535][121659] Loss_D: -0.020202 Loss_G: 0.004880 Loss_D_real: -0.018978 Loss_D_fake 0.001224
[1180/5000][20/535][121660] Loss_D: -0.018522 Loss_G: 0.015247 Loss_D_real: -0.015761 Loss_D_fake 0.002761
[1180/5000][25/535][121661] Loss_D: -0.019412 Loss_G: -0.009371 Loss_D_real: -0.012929 Loss_D_fake 0.006483
[1180/5000][30/535][121662] Loss_D: -0.020008 Loss_G: 0.000604 Loss_D_real: -0.008048 Loss_D_fake 0.011959
[1180/5000][35/535][121663] Loss_D: -0.020474 Loss_G: 0.021739 Loss_D_real: -0.016345 Loss_D_fake 0.004130
[1180/5000][40/535][121664] Loss_D: -0.019858 Loss_G: -0.002431 Loss_D_real: -0.018132 Loss_D_fake 0.001727
[1180/5000][45/535][121665] Loss_D: -0.019639 Loss_G: 0.016296 Loss_D_real: -0.033113 Loss_D_fake -0.013474
[1180/5000][50/535][121666] Loss_D: -0.020795 Loss_G: 0.022259 Loss_D_real: -0.023168 Loss_D_fake -0.002373
[1180/5000][55/535][121667] Loss_D: -0.020952 Loss_G: 0.020997 Loss_D_real: -0.024622 Loss_D_fake -0.003669
[1180/5000][60/535][121668] Loss_D: -0.021880 Loss_G: 0.007303 Loss_D_real: -0.003032 Loss_D_fake 0.018847
[1180/5000][65/535][121669] Loss_D: -0.020375 Loss_G: 0.018063 Loss_D_real: -0.024506 Loss_D_fake -0.004131
[1180/5000][70/535][121670] Loss_D: -0.020049 Loss_G: -0.000260 Loss_D_real: -0.006396 Loss_D_fake 0.013653
[1180/5000][75/535][121671] Loss_D: -0.020083 Loss_G: 0.003586 Loss_D_real: -0.017913 Loss_D_fake 0.002170
[1180/5000][80/535][121672] Loss_D: -0.021702 Loss_G: -0.002964 Loss_D_real: -0.012106 Loss_D_fake 0.009596
[1180/5000][85/535][121673] Loss_D: -0.020918 Loss_G: 0.021935 Loss_D_real: -0.019283 Loss_D_fake 0.001635
[1180/5000][90/535][121674] Loss_D: -0.018750 Loss_G: -0.005309 Loss_D_real: -0.013198 Loss_D_fake 0.005551
[1180/5000][95/535][121675] Loss_D: -0.021214 Loss_G: -0.006488 Loss_D_real: -0.016234 Loss_D_fake 0.004979
[1180/5000][100/535][121676] Loss_D: -0.018855 Loss_G: 0.022295 Loss_D_real: -0.031964 Loss_D_fake -0.013108
[1180/5000][105/535][121677] Loss_D: -0.019936 Loss_G: 0.003588 Loss_D_real: -0.000311 Loss_D_fake 0.019625
[1180/5000][110/535][121678] Loss_D: -0.022136 Loss_G: 0.001682 Loss_D_real: -0.025756 Loss_D_fake -0.003620
[1180/5000][115/535][121679] Loss_D: -0.020923 Loss_G: -0.011373 Loss_D_real: 0.004158 Loss_D_fake 0.025081
[1180/5000][120/535][121680] Loss_D: -0.020357 Loss_G: 0.020356 Loss_D_real: -0.029027 Loss_D_fake -0.008670
[1180/5000][125/535][121681] Loss_D: -0.021076 Loss_G: 0.016138 Loss_D_real: -0.020860 Loss_D_fake 0.000216
[1180/5000][130/535][121682] Loss_D: -0.020387 Loss_G: 0.010755 Loss_D_real: -0.016353 Loss_D_fake 0.004034
[1180/5000][135/535][121683] Loss_D: -0.020287 Loss_G: 0.000355 Loss_D_real: -0.027458 Loss_D_fake -0.007170
[1180/5000][140/535][121684] Loss_D: -0.021394 Loss_G: 0.007516 Loss_D_real: -0.017482 Loss_D_fake 0.003912
[1180/5000][145/535][121685] Loss_D: -0.020372 Loss_G: 0.000274 Loss_D_real: -0.009450 Loss_D_fake 0.010922
[1180/5000][150/535][121686] Loss_D: -0.021166 Loss_G: 0.004635 Loss_D_real: -0.015635 Loss_D_fake 0.005532
[1180/5000][155/535][121687] Loss_D: -0.021086 Loss_G: 0.017914 Loss_D_real: -0.030637 Loss_D_fake -0.009552
[1180/5000][160/535][121688] Loss_D: -0.021564 Loss_G: 0.018322 Loss_D_real: -0.020888 Loss_D_fake 0.000675
[1180/5000][165/535][121689] Loss_D: -0.021714 Loss_G: -0.009056 Loss_D_real: -0.007779 Loss_D_fake 0.013934
[1180/5000][170/535][121690] Loss_D: -0.020110 Loss_G: 0.007164 Loss_D_real: -0.025565 Loss_D_fake -0.005455
[1180/5000][175/535][121691] Loss_D: -0.020655 Loss_G: 0.016359 Loss_D_real: -0.018474 Loss_D_fake 0.002181
[1180/5000][180/535][121692] Loss_D: -0.019859 Loss_G: 0.018209 Loss_D_real: -0.019381 Loss_D_fake 0.000478
[1180/5000][185/535][121693] Loss_D: -0.021824 Loss_G: -0.011619 Loss_D_real: -0.003503 Loss_D_fake 0.018321
[1180/5000][190/535][121694] Loss_D: -0.020322 Loss_G: -0.003188 Loss_D_real: -0.025968 Loss_D_fake -0.005646
[1180/5000][195/535][121695] Loss_D: -0.020348 Loss_G: -0.013132 Loss_D_real: -0.010336 Loss_D_fake 0.010013
[1180/5000][200/535][121696] Loss_D: -0.020985 Loss_G: 0.028250 Loss_D_real: -0.030590 Loss_D_fake -0.009605
[1180/5000][205/535][121697] Loss_D: -0.021874 Loss_G: 0.015682 Loss_D_real: -0.021094 Loss_D_fake 0.000780
[1180/5000][210/535][121698] Loss_D: -0.021630 Loss_G: -0.004912 Loss_D_real: -0.014221 Loss_D_fake 0.007409
[1180/5000][215/535][121699] Loss_D: -0.019870 Loss_G: 0.012239 Loss_D_real: -0.023492 Loss_D_fake -0.003622
[1180/5000][220/535][121700] Loss_D: -0.021718 Loss_G: 0.020741 Loss_D_real: -0.026244 Loss_D_fake -0.004525
[1180/5000][225/535][121701] Loss_D: -0.020739 Loss_G: 0.016794 Loss_D_real: -0.037391 Loss_D_fake -0.016651
[1180/5000][230/535][121702] Loss_D: -0.021712 Loss_G: 0.004679 Loss_D_real: -0.033141 Loss_D_fake -0.011429
[1180/5000][235/535][121703] Loss_D: -0.021518 Loss_G: 0.011257 Loss_D_real: -0.007199 Loss_D_fake 0.014320
[1180/5000][240/535][121704] Loss_D: -0.020776 Loss_G: 0.008819 Loss_D_real: -0.017122 Loss_D_fake 0.003654
[1180/5000][245/535][121705] Loss_D: -0.020511 Loss_G: 0.005105 Loss_D_real: -0.020542 Loss_D_fake -0.000031
[1180/5000][250/535][121706] Loss_D: -0.020028 Loss_G: -0.000588 Loss_D_real: -0.017675 Loss_D_fake 0.002353
[1180/5000][255/535][121707] Loss_D: -0.021160 Loss_G: 0.006651 Loss_D_real: -0.010516 Loss_D_fake 0.010644
[1180/5000][260/535][121708] Loss_D: -0.020524 Loss_G: 0.019759 Loss_D_real: -0.018534 Loss_D_fake 0.001990
[1180/5000][265/535][121709] Loss_D: -0.020382 Loss_G: -0.007526 Loss_D_real: 0.001577 Loss_D_fake 0.021959
[1180/5000][270/535][121710] Loss_D: -0.019452 Loss_G: 0.023076 Loss_D_real: -0.039788 Loss_D_fake -0.020336
[1180/5000][275/535][121711] Loss_D: -0.022093 Loss_G: -0.001197 Loss_D_real: -0.010361 Loss_D_fake 0.011732
[1180/5000][280/535][121712] Loss_D: -0.020781 Loss_G: -0.011906 Loss_D_real: 0.003469 Loss_D_fake 0.024250
[1180/5000][285/535][121713] Loss_D: -0.020553 Loss_G: 0.021561 Loss_D_real: -0.030373 Loss_D_fake -0.009821
[1180/5000][290/535][121714] Loss_D: -0.021286 Loss_G: 0.005036 Loss_D_real: -0.022119 Loss_D_fake -0.000833
[1180/5000][295/535][121715] Loss_D: -0.021192 Loss_G: 0.014254 Loss_D_real: -0.016795 Loss_D_fake 0.004397
[1180/5000][300/535][121716] Loss_D: -0.020559 Loss_G: 0.012821 Loss_D_real: -0.026032 Loss_D_fake -0.005474
[1180/5000][305/535][121717] Loss_D: -0.020564 Loss_G: 0.025720 Loss_D_real: -0.026516 Loss_D_fake -0.005951
[1180/5000][310/535][121718] Loss_D: -0.022713 Loss_G: 0.002574 Loss_D_real: -0.020613 Loss_D_fake 0.002101
[1180/5000][315/535][121719] Loss_D: -0.021268 Loss_G: 0.006895 Loss_D_real: -0.019776 Loss_D_fake 0.001492
[1180/5000][320/535][121720] Loss_D: -0.021155 Loss_G: -0.010640 Loss_D_real: 0.003401 Loss_D_fake 0.024556
[1180/5000][325/535][121721] Loss_D: -0.020111 Loss_G: 0.010783 Loss_D_real: -0.022927 Loss_D_fake -0.002817
[1180/5000][330/535][121722] Loss_D: -0.019656 Loss_G: 0.016725 Loss_D_real: -0.025098 Loss_D_fake -0.005442
[1180/5000][335/535][121723] Loss_D: -0.020479 Loss_G: -0.000218 Loss_D_real: 0.000857 Loss_D_fake 0.021337
[1180/5000][340/535][121724] Loss_D: -0.019217 Loss_G: 0.016703 Loss_D_real: -0.013759 Loss_D_fake 0.005458
[1180/5000][345/535][121725] Loss_D: -0.020406 Loss_G: 0.001672 Loss_D_real: -0.020281 Loss_D_fake 0.000124
[1180/5000][350/535][121726] Loss_D: -0.020288 Loss_G: 0.007681 Loss_D_real: -0.023495 Loss_D_fake -0.003207
[1180/5000][355/535][121727] Loss_D: -0.020994 Loss_G: 0.011100 Loss_D_real: -0.025995 Loss_D_fake -0.005001
[1180/5000][360/535][121728] Loss_D: -0.020252 Loss_G: -0.014727 Loss_D_real: -0.006817 Loss_D_fake 0.013434
[1180/5000][365/535][121729] Loss_D: -0.020774 Loss_G: 0.018075 Loss_D_real: -0.022519 Loss_D_fake -0.001745
[1180/5000][370/535][121730] Loss_D: -0.020980 Loss_G: 0.008658 Loss_D_real: -0.011186 Loss_D_fake 0.009793
[1180/5000][375/535][121731] Loss_D: -0.020679 Loss_G: -0.002012 Loss_D_real: -0.011826 Loss_D_fake 0.008853
[1180/5000][380/535][121732] Loss_D: -0.020927 Loss_G: 0.007320 Loss_D_real: -0.031527 Loss_D_fake -0.010600
[1180/5000][385/535][121733] Loss_D: -0.020665 Loss_G: 0.017481 Loss_D_real: -0.018720 Loss_D_fake 0.001945
[1180/5000][390/535][121734] Loss_D: -0.019993 Loss_G: -0.000757 Loss_D_real: -0.007555 Loss_D_fake 0.012437
[1180/5000][395/535][121735] Loss_D: -0.019885 Loss_G: 0.005503 Loss_D_real: -0.020313 Loss_D_fake -0.000429
[1180/5000][400/535][121736] Loss_D: -0.020071 Loss_G: 0.025441 Loss_D_real: -0.023203 Loss_D_fake -0.003132
[1180/5000][405/535][121737] Loss_D: -0.021279 Loss_G: -0.000389 Loss_D_real: -0.009766 Loss_D_fake 0.011513
[1180/5000][410/535][121738] Loss_D: -0.020415 Loss_G: 0.022113 Loss_D_real: -0.023258 Loss_D_fake -0.002844
[1180/5000][415/535][121739] Loss_D: -0.020499 Loss_G: 0.007881 Loss_D_real: -0.022659 Loss_D_fake -0.002160
[1180/5000][420/535][121740] Loss_D: -0.019406 Loss_G: 0.023089 Loss_D_real: -0.032362 Loss_D_fake -0.012956
[1180/5000][425/535][121741] Loss_D: -0.019725 Loss_G: 0.012261 Loss_D_real: -0.021506 Loss_D_fake -0.001781
[1180/5000][430/535][121742] Loss_D: -0.021512 Loss_G: -0.006893 Loss_D_real: -0.005526 Loss_D_fake 0.015986
[1180/5000][435/535][121743] Loss_D: -0.021029 Loss_G: 0.010212 Loss_D_real: -0.024070 Loss_D_fake -0.003041
[1180/5000][440/535][121744] Loss_D: -0.020641 Loss_G: 0.006414 Loss_D_real: -0.001867 Loss_D_fake 0.018774
[1180/5000][445/535][121745] Loss_D: -0.020702 Loss_G: 0.020480 Loss_D_real: -0.035764 Loss_D_fake -0.015062
[1180/5000][450/535][121746] Loss_D: -0.018653 Loss_G: 0.004316 Loss_D_real: -0.027587 Loss_D_fake -0.008935
[1180/5000][455/535][121747] Loss_D: -0.021124 Loss_G: -0.009581 Loss_D_real: -0.009338 Loss_D_fake 0.011786
[1180/5000][460/535][121748] Loss_D: -0.022005 Loss_G: -0.011348 Loss_D_real: -0.010152 Loss_D_fake 0.011853
[1180/5000][465/535][121749] Loss_D: -0.021730 Loss_G: 0.017408 Loss_D_real: -0.013304 Loss_D_fake 0.008427
[1180/5000][470/535][121750] Loss_D: -0.018734 Loss_G: -0.013672 Loss_D_real: -0.004747 Loss_D_fake 0.013987
[1180/5000][475/535][121751] Loss_D: -0.020464 Loss_G: 0.001731 Loss_D_real: -0.015351 Loss_D_fake 0.005112
[1180/5000][480/535][121752] Loss_D: -0.021227 Loss_G: 0.008983 Loss_D_real: -0.006555 Loss_D_fake 0.014672
[1180/5000][485/535][121753] Loss_D: -0.019070 Loss_G: -0.002579 Loss_D_real: -0.023152 Loss_D_fake -0.004082
[1180/5000][490/535][121754] Loss_D: -0.019886 Loss_G: -0.010985 Loss_D_real: -0.016000 Loss_D_fake 0.003886
[1180/5000][495/535][121755] Loss_D: -0.020679 Loss_G: 0.028478 Loss_D_real: -0.020722 Loss_D_fake -0.000043
[1180/5000][500/535][121756] Loss_D: -0.021647 Loss_G: 0.013942 Loss_D_real: -0.016509 Loss_D_fake 0.005137
[1180/5000][505/535][121757] Loss_D: -0.020022 Loss_G: -0.009666 Loss_D_real: -0.015439 Loss_D_fake 0.004583
[1180/5000][510/535][121758] Loss_D: -0.019638 Loss_G: -0.004424 Loss_D_real: -0.007829 Loss_D_fake 0.011808
[1180/5000][515/535][121759] Loss_D: -0.021561 Loss_G: -0.001844 Loss_D_real: -0.008099 Loss_D_fake 0.013462
[1180/5000][520/535][121760] Loss_D: -0.020248 Loss_G: 0.002713 Loss_D_real: -0.019250 Loss_D_fake 0.000998
[1180/5000][525/535][121761] Loss_D: -0.020366 Loss_G: -0.001702 Loss_D_real: -0.003774 Loss_D_fake 0.016592
[1180/5000][530/535][121762] Loss_D: -0.020252 Loss_G: 0.007131 Loss_D_real: -0.014609 Loss_D_fake 0.005643
[1180/5000][535/535][121763] Loss_D: -0.020047 Loss_G: 0.019813 Loss_D_real: -0.017432 Loss_D_fake 0.002615
[1181/5000][5/535][121764] Loss_D: -0.020071 Loss_G: 0.004857 Loss_D_real: -0.018228 Loss_D_fake 0.001843
[1181/5000][10/535][121765] Loss_D: -0.021070 Loss_G: 0.019719 Loss_D_real: -0.020482 Loss_D_fake 0.000588
[1181/5000][15/535][121766] Loss_D: -0.020704 Loss_G: 0.021940 Loss_D_real: -0.020739 Loss_D_fake -0.000035
[1181/5000][20/535][121767] Loss_D: -0.020985 Loss_G: 0.010379 Loss_D_real: -0.016961 Loss_D_fake 0.004024
[1181/5000][25/535][121768] Loss_D: -0.020246 Loss_G: 0.011027 Loss_D_real: -0.018762 Loss_D_fake 0.001485
[1181/5000][30/535][121769] Loss_D: -0.023291 Loss_G: 0.003753 Loss_D_real: -0.015594 Loss_D_fake 0.007697
[1181/5000][35/535][121770] Loss_D: -0.020687 Loss_G: -0.002532 Loss_D_real: -0.016971 Loss_D_fake 0.003716
[1181/5000][40/535][121771] Loss_D: -0.019951 Loss_G: 0.006742 Loss_D_real: -0.005601 Loss_D_fake 0.014350
[1181/5000][45/535][121772] Loss_D: -0.020518 Loss_G: 0.016611 Loss_D_real: -0.025208 Loss_D_fake -0.004691
[1181/5000][50/535][121773] Loss_D: -0.020713 Loss_G: 0.014800 Loss_D_real: -0.022756 Loss_D_fake -0.002043
[1181/5000][55/535][121774] Loss_D: -0.020815 Loss_G: 0.014904 Loss_D_real: -0.019442 Loss_D_fake 0.001373
[1181/5000][60/535][121775] Loss_D: -0.019677 Loss_G: 0.003836 Loss_D_real: -0.018320 Loss_D_fake 0.001356
[1181/5000][65/535][121776] Loss_D: -0.021244 Loss_G: 0.019078 Loss_D_real: -0.038348 Loss_D_fake -0.017104
[1181/5000][70/535][121777] Loss_D: -0.019408 Loss_G: 0.031776 Loss_D_real: -0.024366 Loss_D_fake -0.004958
[1181/5000][75/535][121778] Loss_D: -0.020211 Loss_G: -0.008559 Loss_D_real: -0.005800 Loss_D_fake 0.014411
[1181/5000][80/535][121779] Loss_D: -0.020455 Loss_G: 0.000015 Loss_D_real: -0.015106 Loss_D_fake 0.005348
[1181/5000][85/535][121780] Loss_D: -0.019568 Loss_G: 0.027264 Loss_D_real: -0.034008 Loss_D_fake -0.014440
[1181/5000][90/535][121781] Loss_D: -0.021341 Loss_G: 0.006488 Loss_D_real: -0.020953 Loss_D_fake 0.000388
[1181/5000][95/535][121782] Loss_D: -0.020929 Loss_G: 0.007754 Loss_D_real: -0.016999 Loss_D_fake 0.003929
[1181/5000][100/535][121783] Loss_D: -0.020674 Loss_G: 0.016369 Loss_D_real: -0.024843 Loss_D_fake -0.004169
[1181/5000][105/535][121784] Loss_D: -0.020924 Loss_G: 0.024938 Loss_D_real: -0.019718 Loss_D_fake 0.001206
[1181/5000][110/535][121785] Loss_D: -0.021503 Loss_G: -0.021022 Loss_D_real: -0.002346 Loss_D_fake 0.019156
[1181/5000][115/535][121786] Loss_D: -0.020042 Loss_G: -0.008150 Loss_D_real: -0.005790 Loss_D_fake 0.014252
[1181/5000][120/535][121787] Loss_D: -0.020714 Loss_G: 0.019443 Loss_D_real: -0.024510 Loss_D_fake -0.003797
[1181/5000][125/535][121788] Loss_D: -0.021539 Loss_G: 0.004997 Loss_D_real: -0.007613 Loss_D_fake 0.013926
[1181/5000][130/535][121789] Loss_D: -0.020780 Loss_G: 0.000814 Loss_D_real: -0.010198 Loss_D_fake 0.010582
[1181/5000][135/535][121790] Loss_D: -0.020284 Loss_G: 0.002252 Loss_D_real: -0.022980 Loss_D_fake -0.002696
[1181/5000][140/535][121791] Loss_D: -0.020282 Loss_G: 0.009688 Loss_D_real: -0.020236 Loss_D_fake 0.000046
[1181/5000][145/535][121792] Loss_D: -0.020232 Loss_G: 0.006939 Loss_D_real: -0.020381 Loss_D_fake -0.000150
[1181/5000][150/535][121793] Loss_D: -0.020609 Loss_G: 0.009809 Loss_D_real: -0.016843 Loss_D_fake 0.003766
[1181/5000][155/535][121794] Loss_D: -0.021563 Loss_G: 0.004302 Loss_D_real: -0.018805 Loss_D_fake 0.002758
[1181/5000][160/535][121795] Loss_D: -0.020145 Loss_G: -0.009061 Loss_D_real: 0.006245 Loss_D_fake 0.026390
[1181/5000][165/535][121796] Loss_D: -0.020670 Loss_G: 0.000240 Loss_D_real: -0.019599 Loss_D_fake 0.001070
[1181/5000][170/535][121797] Loss_D: -0.020959 Loss_G: 0.003147 Loss_D_real: -0.022670 Loss_D_fake -0.001711
[1181/5000][175/535][121798] Loss_D: -0.019950 Loss_G: -0.002969 Loss_D_real: -0.010283 Loss_D_fake 0.009667
[1181/5000][180/535][121799] Loss_D: -0.022093 Loss_G: 0.011614 Loss_D_real: -0.022390 Loss_D_fake -0.000298
[1181/5000][185/535][121800] Loss_D: -0.021421 Loss_G: 0.000899 Loss_D_real: -0.019258 Loss_D_fake 0.002163
[1181/5000][190/535][121801] Loss_D: -0.019112 Loss_G: 0.015573 Loss_D_real: -0.020072 Loss_D_fake -0.000960
[1181/5000][195/535][121802] Loss_D: -0.021918 Loss_G: 0.005969 Loss_D_real: -0.010785 Loss_D_fake 0.011133
[1181/5000][200/535][121803] Loss_D: -0.020721 Loss_G: 0.010778 Loss_D_real: -0.007399 Loss_D_fake 0.013322
[1181/5000][205/535][121804] Loss_D: -0.021541 Loss_G: -0.001107 Loss_D_real: -0.001523 Loss_D_fake 0.020018
[1181/5000][210/535][121805] Loss_D: -0.022007 Loss_G: -0.000010 Loss_D_real: -0.013436 Loss_D_fake 0.008571
[1181/5000][215/535][121806] Loss_D: -0.021691 Loss_G: 0.018732 Loss_D_real: -0.029631 Loss_D_fake -0.007940
[1181/5000][220/535][121807] Loss_D: -0.020788 Loss_G: -0.007437 Loss_D_real: -0.008904 Loss_D_fake 0.011883
[1181/5000][225/535][121808] Loss_D: -0.021370 Loss_G: -0.000798 Loss_D_real: -0.013557 Loss_D_fake 0.007813
[1181/5000][230/535][121809] Loss_D: -0.020648 Loss_G: 0.018165 Loss_D_real: -0.017843 Loss_D_fake 0.002805
[1181/5000][235/535][121810] Loss_D: -0.020757 Loss_G: 0.020957 Loss_D_real: -0.018840 Loss_D_fake 0.001917
[1181/5000][240/535][121811] Loss_D: -0.020396 Loss_G: -0.008380 Loss_D_real: -0.020815 Loss_D_fake -0.000418
[1181/5000][245/535][121812] Loss_D: -0.021905 Loss_G: 0.009121 Loss_D_real: -0.023659 Loss_D_fake -0.001754
[1181/5000][250/535][121813] Loss_D: -0.020201 Loss_G: -0.010596 Loss_D_real: -0.001814 Loss_D_fake 0.018387
[1181/5000][255/535][121814] Loss_D: -0.021165 Loss_G: 0.007980 Loss_D_real: -0.005046 Loss_D_fake 0.016119
[1181/5000][260/535][121815] Loss_D: -0.019585 Loss_G: 0.010321 Loss_D_real: -0.015311 Loss_D_fake 0.004274
[1181/5000][265/535][121816] Loss_D: -0.019782 Loss_G: 0.019316 Loss_D_real: -0.026615 Loss_D_fake -0.006832
[1181/5000][270/535][121817] Loss_D: -0.020580 Loss_G: 0.006782 Loss_D_real: -0.024782 Loss_D_fake -0.004201
[1181/5000][275/535][121818] Loss_D: -0.020543 Loss_G: -0.004688 Loss_D_real: -0.012818 Loss_D_fake 0.007725
[1181/5000][280/535][121819] Loss_D: -0.020459 Loss_G: 0.017607 Loss_D_real: -0.020514 Loss_D_fake -0.000055
[1181/5000][285/535][121820] Loss_D: -0.019355 Loss_G: 0.014681 Loss_D_real: -0.025580 Loss_D_fake -0.006225
[1181/5000][290/535][121821] Loss_D: -0.021338 Loss_G: 0.000445 Loss_D_real: -0.005973 Loss_D_fake 0.015365
[1181/5000][295/535][121822] Loss_D: -0.020781 Loss_G: 0.013915 Loss_D_real: -0.013754 Loss_D_fake 0.007027
[1181/5000][300/535][121823] Loss_D: -0.020928 Loss_G: -0.004057 Loss_D_real: -0.012627 Loss_D_fake 0.008300
[1181/5000][305/535][121824] Loss_D: -0.019571 Loss_G: -0.014132 Loss_D_real: -0.007467 Loss_D_fake 0.012104
[1181/5000][310/535][121825] Loss_D: -0.019096 Loss_G: 0.000351 Loss_D_real: -0.020657 Loss_D_fake -0.001561
[1181/5000][315/535][121826] Loss_D: -0.019857 Loss_G: -0.003781 Loss_D_real: -0.004946 Loss_D_fake 0.014911
[1181/5000][320/535][121827] Loss_D: -0.019570 Loss_G: 0.011646 Loss_D_real: -0.026090 Loss_D_fake -0.006520
[1181/5000][325/535][121828] Loss_D: -0.019194 Loss_G: 0.012251 Loss_D_real: -0.028155 Loss_D_fake -0.008961
[1181/5000][330/535][121829] Loss_D: -0.019820 Loss_G: 0.011030 Loss_D_real: -0.012116 Loss_D_fake 0.007703
[1181/5000][335/535][121830] Loss_D: -0.020268 Loss_G: -0.004337 Loss_D_real: -0.012017 Loss_D_fake 0.008251
[1181/5000][340/535][121831] Loss_D: -0.021384 Loss_G: 0.001535 Loss_D_real: -0.010030 Loss_D_fake 0.011354
[1181/5000][345/535][121832] Loss_D: -0.020186 Loss_G: 0.011803 Loss_D_real: -0.018796 Loss_D_fake 0.001390
[1181/5000][350/535][121833] Loss_D: -0.019506 Loss_G: 0.006845 Loss_D_real: -0.007843 Loss_D_fake 0.011664
[1181/5000][355/535][121834] Loss_D: -0.020044 Loss_G: 0.021484 Loss_D_real: -0.024576 Loss_D_fake -0.004531
[1181/5000][360/535][121835] Loss_D: -0.019235 Loss_G: 0.008653 Loss_D_real: -0.025754 Loss_D_fake -0.006519
[1181/5000][365/535][121836] Loss_D: -0.020509 Loss_G: 0.020190 Loss_D_real: -0.022353 Loss_D_fake -0.001844
[1181/5000][370/535][121837] Loss_D: -0.019472 Loss_G: 0.023613 Loss_D_real: -0.031475 Loss_D_fake -0.012002
[1181/5000][375/535][121838] Loss_D: -0.020301 Loss_G: 0.017610 Loss_D_real: -0.036206 Loss_D_fake -0.015905
[1181/5000][380/535][121839] Loss_D: -0.021115 Loss_G: -0.003321 Loss_D_real: -0.014986 Loss_D_fake 0.006129
[1181/5000][385/535][121840] Loss_D: -0.020684 Loss_G: 0.021760 Loss_D_real: -0.031506 Loss_D_fake -0.010823
[1181/5000][390/535][121841] Loss_D: -0.020413 Loss_G: 0.004873 Loss_D_real: -0.006899 Loss_D_fake 0.013515
[1181/5000][395/535][121842] Loss_D: -0.021584 Loss_G: 0.019717 Loss_D_real: -0.022961 Loss_D_fake -0.001378
[1181/5000][400/535][121843] Loss_D: -0.021582 Loss_G: 0.000727 Loss_D_real: -0.015709 Loss_D_fake 0.005873
[1181/5000][405/535][121844] Loss_D: -0.020417 Loss_G: 0.006905 Loss_D_real: -0.017571 Loss_D_fake 0.002846
[1181/5000][410/535][121845] Loss_D: -0.019756 Loss_G: 0.025685 Loss_D_real: -0.023483 Loss_D_fake -0.003727
[1181/5000][415/535][121846] Loss_D: -0.020239 Loss_G: 0.006996 Loss_D_real: -0.028686 Loss_D_fake -0.008447
[1181/5000][420/535][121847] Loss_D: -0.022102 Loss_G: -0.003974 Loss_D_real: -0.024830 Loss_D_fake -0.002728
[1181/5000][425/535][121848] Loss_D: -0.021762 Loss_G: 0.008901 Loss_D_real: -0.014048 Loss_D_fake 0.007714
[1181/5000][430/535][121849] Loss_D: -0.018867 Loss_G: 0.019279 Loss_D_real: -0.039814 Loss_D_fake -0.020947
[1181/5000][435/535][121850] Loss_D: -0.021421 Loss_G: 0.009135 Loss_D_real: -0.028519 Loss_D_fake -0.007098
[1181/5000][440/535][121851] Loss_D: -0.021076 Loss_G: 0.015171 Loss_D_real: -0.026076 Loss_D_fake -0.005000
[1181/5000][445/535][121852] Loss_D: -0.022209 Loss_G: -0.001677 Loss_D_real: -0.012606 Loss_D_fake 0.009603
[1181/5000][450/535][121853] Loss_D: -0.020536 Loss_G: -0.016935 Loss_D_real: -0.008337 Loss_D_fake 0.012199
[1181/5000][455/535][121854] Loss_D: -0.019245 Loss_G: 0.011254 Loss_D_real: -0.017230 Loss_D_fake 0.002015
[1181/5000][460/535][121855] Loss_D: -0.020410 Loss_G: 0.016202 Loss_D_real: -0.027713 Loss_D_fake -0.007302
[1181/5000][465/535][121856] Loss_D: -0.020299 Loss_G: -0.008939 Loss_D_real: -0.014004 Loss_D_fake 0.006295
[1181/5000][470/535][121857] Loss_D: -0.019715 Loss_G: -0.011573 Loss_D_real: -0.008012 Loss_D_fake 0.011702
[1181/5000][475/535][121858] Loss_D: -0.020483 Loss_G: 0.011594 Loss_D_real: -0.011813 Loss_D_fake 0.008670
[1181/5000][480/535][121859] Loss_D: -0.021047 Loss_G: 0.004692 Loss_D_real: -0.014423 Loss_D_fake 0.006624
[1181/5000][485/535][121860] Loss_D: -0.020805 Loss_G: 0.011345 Loss_D_real: -0.014639 Loss_D_fake 0.006166
[1181/5000][490/535][121861] Loss_D: -0.019160 Loss_G: 0.017692 Loss_D_real: -0.028162 Loss_D_fake -0.009002
[1181/5000][495/535][121862] Loss_D: -0.021944 Loss_G: 0.008980 Loss_D_real: -0.022713 Loss_D_fake -0.000769
[1181/5000][500/535][121863] Loss_D: -0.020627 Loss_G: 0.013515 Loss_D_real: -0.021693 Loss_D_fake -0.001066
[1181/5000][505/535][121864] Loss_D: -0.020239 Loss_G: -0.007150 Loss_D_real: -0.009589 Loss_D_fake 0.010651
[1181/5000][510/535][121865] Loss_D: -0.021480 Loss_G: -0.001384 Loss_D_real: -0.014522 Loss_D_fake 0.006958
[1181/5000][515/535][121866] Loss_D: -0.019919 Loss_G: 0.035726 Loss_D_real: -0.029058 Loss_D_fake -0.009139
[1181/5000][520/535][121867] Loss_D: -0.019594 Loss_G: 0.015516 Loss_D_real: -0.019918 Loss_D_fake -0.000324
[1181/5000][525/535][121868] Loss_D: -0.019770 Loss_G: -0.000128 Loss_D_real: -0.012906 Loss_D_fake 0.006864
[1181/5000][530/535][121869] Loss_D: -0.019862 Loss_G: 0.017424 Loss_D_real: -0.020053 Loss_D_fake -0.000191
[1181/5000][535/535][121870] Loss_D: -0.020956 Loss_G: -0.005211 Loss_D_real: -0.007997 Loss_D_fake 0.012959
[1182/5000][5/535][121871] Loss_D: -0.021376 Loss_G: 0.025851 Loss_D_real: -0.028751 Loss_D_fake -0.007375
[1182/5000][10/535][121872] Loss_D: -0.021089 Loss_G: 0.009823 Loss_D_real: -0.006312 Loss_D_fake 0.014777
[1182/5000][15/535][121873] Loss_D: -0.019613 Loss_G: 0.003268 Loss_D_real: -0.018352 Loss_D_fake 0.001261
[1182/5000][20/535][121874] Loss_D: -0.020924 Loss_G: 0.002614 Loss_D_real: -0.013459 Loss_D_fake 0.007466
[1182/5000][25/535][121875] Loss_D: -0.021086 Loss_G: 0.019106 Loss_D_real: -0.021830 Loss_D_fake -0.000745
[1182/5000][30/535][121876] Loss_D: -0.019776 Loss_G: -0.003290 Loss_D_real: -0.000426 Loss_D_fake 0.019350
[1182/5000][35/535][121877] Loss_D: -0.021691 Loss_G: 0.025261 Loss_D_real: -0.026986 Loss_D_fake -0.005295
[1182/5000][40/535][121878] Loss_D: -0.021130 Loss_G: 0.004608 Loss_D_real: -0.027596 Loss_D_fake -0.006466
[1182/5000][45/535][121879] Loss_D: -0.020455 Loss_G: -0.010116 Loss_D_real: -0.019653 Loss_D_fake 0.000801
[1182/5000][50/535][121880] Loss_D: -0.021330 Loss_G: -0.014638 Loss_D_real: -0.011557 Loss_D_fake 0.009773
[1182/5000][55/535][121881] Loss_D: -0.021094 Loss_G: -0.001097 Loss_D_real: -0.001172 Loss_D_fake 0.019922
[1182/5000][60/535][121882] Loss_D: -0.020617 Loss_G: 0.015466 Loss_D_real: -0.015585 Loss_D_fake 0.005032
[1182/5000][65/535][121883] Loss_D: -0.020931 Loss_G: -0.007711 Loss_D_real: -0.008690 Loss_D_fake 0.012241
[1182/5000][70/535][121884] Loss_D: -0.019855 Loss_G: -0.006969 Loss_D_real: -0.000608 Loss_D_fake 0.019247
[1182/5000][75/535][121885] Loss_D: -0.019927 Loss_G: 0.022588 Loss_D_real: -0.019140 Loss_D_fake 0.000787
[1182/5000][80/535][121886] Loss_D: -0.021478 Loss_G: 0.016049 Loss_D_real: -0.021559 Loss_D_fake -0.000081
[1182/5000][85/535][121887] Loss_D: -0.019098 Loss_G: 0.021690 Loss_D_real: -0.033741 Loss_D_fake -0.014643
[1182/5000][90/535][121888] Loss_D: -0.018876 Loss_G: 0.010343 Loss_D_real: -0.022463 Loss_D_fake -0.003587
[1182/5000][95/535][121889] Loss_D: -0.020682 Loss_G: -0.006372 Loss_D_real: -0.009323 Loss_D_fake 0.011360
[1182/5000][100/535][121890] Loss_D: -0.020427 Loss_G: 0.007261 Loss_D_real: -0.022491 Loss_D_fake -0.002063
[1182/5000][105/535][121891] Loss_D: -0.020892 Loss_G: -0.003847 Loss_D_real: -0.012376 Loss_D_fake 0.008516
[1182/5000][110/535][121892] Loss_D: -0.019488 Loss_G: 0.017855 Loss_D_real: -0.017252 Loss_D_fake 0.002236
[1182/5000][115/535][121893] Loss_D: -0.019386 Loss_G: 0.001110 Loss_D_real: -0.005563 Loss_D_fake 0.013823
[1182/5000][120/535][121894] Loss_D: -0.020758 Loss_G: 0.003056 Loss_D_real: -0.001811 Loss_D_fake 0.018947
[1182/5000][125/535][121895] Loss_D: -0.019626 Loss_G: -0.006972 Loss_D_real: -0.009223 Loss_D_fake 0.010403
[1182/5000][130/535][121896] Loss_D: -0.021121 Loss_G: 0.009002 Loss_D_real: -0.018425 Loss_D_fake 0.002696
[1182/5000][135/535][121897] Loss_D: -0.019927 Loss_G: 0.006634 Loss_D_real: -0.020503 Loss_D_fake -0.000576
[1182/5000][140/535][121898] Loss_D: -0.020718 Loss_G: 0.001707 Loss_D_real: -0.026400 Loss_D_fake -0.005681
[1182/5000][145/535][121899] Loss_D: -0.020364 Loss_G: 0.006511 Loss_D_real: -0.012242 Loss_D_fake 0.008123
[1182/5000][150/535][121900] Loss_D: -0.020958 Loss_G: 0.006823 Loss_D_real: -0.004617 Loss_D_fake 0.016340
[1182/5000][155/535][121901] Loss_D: -0.020137 Loss_G: -0.000822 Loss_D_real: -0.013488 Loss_D_fake 0.006649
[1182/5000][160/535][121902] Loss_D: -0.020680 Loss_G: 0.020820 Loss_D_real: -0.014027 Loss_D_fake 0.006653
[1182/5000][165/535][121903] Loss_D: -0.019442 Loss_G: 0.003297 Loss_D_real: -0.004704 Loss_D_fake 0.014738
[1182/5000][170/535][121904] Loss_D: -0.020182 Loss_G: 0.011404 Loss_D_real: -0.017252 Loss_D_fake 0.002930
[1182/5000][175/535][121905] Loss_D: -0.019788 Loss_G: 0.009080 Loss_D_real: -0.019771 Loss_D_fake 0.000017
[1182/5000][180/535][121906] Loss_D: -0.020736 Loss_G: -0.006587 Loss_D_real: -0.002249 Loss_D_fake 0.018487
[1182/5000][185/535][121907] Loss_D: -0.020460 Loss_G: 0.012050 Loss_D_real: -0.038397 Loss_D_fake -0.017937
[1182/5000][190/535][121908] Loss_D: -0.019490 Loss_G: -0.007825 Loss_D_real: -0.010493 Loss_D_fake 0.008997
[1182/5000][195/535][121909] Loss_D: -0.020313 Loss_G: 0.022056 Loss_D_real: -0.020990 Loss_D_fake -0.000677
[1182/5000][200/535][121910] Loss_D: -0.022077 Loss_G: 0.004562 Loss_D_real: -0.016537 Loss_D_fake 0.005540
[1182/5000][205/535][121911] Loss_D: -0.021018 Loss_G: 0.001849 Loss_D_real: -0.010323 Loss_D_fake 0.010695
[1182/5000][210/535][121912] Loss_D: -0.019938 Loss_G: -0.003813 Loss_D_real: -0.009998 Loss_D_fake 0.009940
[1182/5000][215/535][121913] Loss_D: -0.017907 Loss_G: 0.016935 Loss_D_real: -0.028363 Loss_D_fake -0.010456
[1182/5000][220/535][121914] Loss_D: -0.020710 Loss_G: -0.006890 Loss_D_real: -0.016572 Loss_D_fake 0.004138
[1182/5000][225/535][121915] Loss_D: -0.019971 Loss_G: 0.025862 Loss_D_real: -0.023260 Loss_D_fake -0.003289
[1182/5000][230/535][121916] Loss_D: -0.021703 Loss_G: -0.002925 Loss_D_real: -0.015069 Loss_D_fake 0.006635
[1182/5000][235/535][121917] Loss_D: -0.021481 Loss_G: 0.010268 Loss_D_real: -0.031784 Loss_D_fake -0.010303
[1182/5000][240/535][121918] Loss_D: -0.021248 Loss_G: -0.004764 Loss_D_real: -0.014725 Loss_D_fake 0.006523
[1182/5000][245/535][121919] Loss_D: -0.021761 Loss_G: 0.004120 Loss_D_real: -0.022261 Loss_D_fake -0.000499
[1182/5000][250/535][121920] Loss_D: -0.022352 Loss_G: 0.006957 Loss_D_real: -0.016405 Loss_D_fake 0.005947
[1182/5000][255/535][121921] Loss_D: -0.021716 Loss_G: 0.007790 Loss_D_real: -0.012044 Loss_D_fake 0.009672
[1182/5000][260/535][121922] Loss_D: -0.021492 Loss_G: -0.001824 Loss_D_real: -0.012350 Loss_D_fake 0.009142
[1182/5000][265/535][121923] Loss_D: -0.020323 Loss_G: 0.005662 Loss_D_real: -0.001188 Loss_D_fake 0.019135
[1182/5000][270/535][121924] Loss_D: -0.021502 Loss_G: 0.005503 Loss_D_real: -0.015809 Loss_D_fake 0.005693
[1182/5000][275/535][121925] Loss_D: -0.021916 Loss_G: 0.005305 Loss_D_real: -0.010085 Loss_D_fake 0.011831
[1182/5000][280/535][121926] Loss_D: -0.020322 Loss_G: -0.007321 Loss_D_real: -0.008396 Loss_D_fake 0.011925
[1182/5000][285/535][121927] Loss_D: -0.021668 Loss_G: 0.007180 Loss_D_real: -0.011694 Loss_D_fake 0.009974
[1182/5000][290/535][121928] Loss_D: -0.019447 Loss_G: 0.021839 Loss_D_real: -0.024001 Loss_D_fake -0.004553
[1182/5000][295/535][121929] Loss_D: -0.021073 Loss_G: -0.015425 Loss_D_real: -0.012475 Loss_D_fake 0.008598
[1182/5000][300/535][121930] Loss_D: -0.019075 Loss_G: 0.012375 Loss_D_real: -0.025911 Loss_D_fake -0.006836
[1182/5000][305/535][121931] Loss_D: -0.021927 Loss_G: 0.012002 Loss_D_real: -0.008512 Loss_D_fake 0.013414
[1182/5000][310/535][121932] Loss_D: -0.019894 Loss_G: -0.007340 Loss_D_real: -0.005128 Loss_D_fake 0.014765
[1182/5000][315/535][121933] Loss_D: -0.020245 Loss_G: 0.024393 Loss_D_real: -0.020821 Loss_D_fake -0.000576
[1182/5000][320/535][121934] Loss_D: -0.021292 Loss_G: -0.000269 Loss_D_real: -0.020386 Loss_D_fake 0.000906
[1182/5000][325/535][121935] Loss_D: -0.019891 Loss_G: 0.014164 Loss_D_real: -0.019879 Loss_D_fake 0.000012
[1182/5000][330/535][121936] Loss_D: -0.021240 Loss_G: -0.002694 Loss_D_real: -0.017039 Loss_D_fake 0.004201
[1182/5000][335/535][121937] Loss_D: -0.020313 Loss_G: 0.027779 Loss_D_real: -0.015493 Loss_D_fake 0.004820
[1182/5000][340/535][121938] Loss_D: -0.019285 Loss_G: 0.012582 Loss_D_real: -0.010758 Loss_D_fake 0.008527
[1182/5000][345/535][121939] Loss_D: -0.021023 Loss_G: 0.008463 Loss_D_real: -0.010403 Loss_D_fake 0.010620
[1182/5000][350/535][121940] Loss_D: -0.020701 Loss_G: 0.012512 Loss_D_real: -0.020442 Loss_D_fake 0.000258
[1182/5000][355/535][121941] Loss_D: -0.020462 Loss_G: 0.006897 Loss_D_real: -0.018727 Loss_D_fake 0.001734
[1182/5000][360/535][121942] Loss_D: -0.020913 Loss_G: 0.010698 Loss_D_real: -0.015075 Loss_D_fake 0.005838
[1182/5000][365/535][121943] Loss_D: -0.021221 Loss_G: 0.001806 Loss_D_real: -0.010439 Loss_D_fake 0.010781
[1182/5000][370/535][121944] Loss_D: -0.019798 Loss_G: 0.006543 Loss_D_real: -0.031421 Loss_D_fake -0.011623
[1182/5000][375/535][121945] Loss_D: -0.020340 Loss_G: 0.018628 Loss_D_real: -0.025193 Loss_D_fake -0.004853
[1182/5000][380/535][121946] Loss_D: -0.020006 Loss_G: 0.023426 Loss_D_real: -0.022197 Loss_D_fake -0.002191
[1182/5000][385/535][121947] Loss_D: -0.020124 Loss_G: 0.020878 Loss_D_real: -0.017244 Loss_D_fake 0.002880
[1182/5000][390/535][121948] Loss_D: -0.020564 Loss_G: 0.004945 Loss_D_real: -0.023632 Loss_D_fake -0.003068
[1182/5000][395/535][121949] Loss_D: -0.020221 Loss_G: 0.003343 Loss_D_real: -0.020850 Loss_D_fake -0.000628
[1182/5000][400/535][121950] Loss_D: -0.020368 Loss_G: -0.009077 Loss_D_real: -0.009645 Loss_D_fake 0.010724
[1182/5000][405/535][121951] Loss_D: -0.021080 Loss_G: 0.004997 Loss_D_real: -0.011742 Loss_D_fake 0.009338
[1182/5000][410/535][121952] Loss_D: -0.021470 Loss_G: 0.013232 Loss_D_real: -0.015250 Loss_D_fake 0.006220
[1182/5000][415/535][121953] Loss_D: -0.020321 Loss_G: 0.013879 Loss_D_real: -0.028307 Loss_D_fake -0.007986
[1182/5000][420/535][121954] Loss_D: -0.022148 Loss_G: -0.003961 Loss_D_real: -0.019123 Loss_D_fake 0.003025
[1182/5000][425/535][121955] Loss_D: -0.021989 Loss_G: 0.020764 Loss_D_real: -0.022053 Loss_D_fake -0.000063
[1182/5000][430/535][121956] Loss_D: -0.020993 Loss_G: 0.015171 Loss_D_real: -0.034015 Loss_D_fake -0.013022
[1182/5000][435/535][121957] Loss_D: -0.018292 Loss_G: -0.023956 Loss_D_real: 0.000870 Loss_D_fake 0.019162
[1182/5000][440/535][121958] Loss_D: -0.020054 Loss_G: 0.006278 Loss_D_real: -0.025502 Loss_D_fake -0.005448
[1182/5000][445/535][121959] Loss_D: -0.020576 Loss_G: -0.000708 Loss_D_real: -0.017760 Loss_D_fake 0.002817
[1182/5000][450/535][121960] Loss_D: -0.018244 Loss_G: -0.009140 Loss_D_real: 0.007093 Loss_D_fake 0.025337
[1182/5000][455/535][121961] Loss_D: -0.019786 Loss_G: 0.014750 Loss_D_real: -0.029832 Loss_D_fake -0.010046
[1182/5000][460/535][121962] Loss_D: -0.020156 Loss_G: 0.015190 Loss_D_real: -0.015556 Loss_D_fake 0.004600
[1182/5000][465/535][121963] Loss_D: -0.021681 Loss_G: 0.020039 Loss_D_real: -0.017764 Loss_D_fake 0.003917
[1182/5000][470/535][121964] Loss_D: -0.019181 Loss_G: 0.002512 Loss_D_real: -0.028002 Loss_D_fake -0.008822
[1182/5000][475/535][121965] Loss_D: -0.020472 Loss_G: 0.008741 Loss_D_real: -0.021559 Loss_D_fake -0.001088
[1182/5000][480/535][121966] Loss_D: -0.021099 Loss_G: -0.006890 Loss_D_real: -0.010508 Loss_D_fake 0.010591
[1182/5000][485/535][121967] Loss_D: -0.019717 Loss_G: 0.019023 Loss_D_real: -0.023277 Loss_D_fake -0.003560
[1182/5000][490/535][121968] Loss_D: -0.022026 Loss_G: 0.002379 Loss_D_real: -0.012735 Loss_D_fake 0.009290
[1182/5000][495/535][121969] Loss_D: -0.021914 Loss_G: -0.003100 Loss_D_real: -0.009096 Loss_D_fake 0.012819
[1182/5000][500/535][121970] Loss_D: -0.020940 Loss_G: -0.002454 Loss_D_real: -0.014200 Loss_D_fake 0.006740
[1182/5000][505/535][121971] Loss_D: -0.021487 Loss_G: 0.023094 Loss_D_real: -0.021448 Loss_D_fake 0.000039
[1182/5000][510/535][121972] Loss_D: -0.022176 Loss_G: 0.012467 Loss_D_real: -0.021694 Loss_D_fake 0.000482
[1182/5000][515/535][121973] Loss_D: -0.021587 Loss_G: -0.000740 Loss_D_real: -0.033154 Loss_D_fake -0.011567
[1182/5000][520/535][121974] Loss_D: -0.019852 Loss_G: -0.007406 Loss_D_real: 0.000395 Loss_D_fake 0.020246
[1182/5000][525/535][121975] Loss_D: -0.019976 Loss_G: 0.012593 Loss_D_real: -0.005951 Loss_D_fake 0.014025
[1182/5000][530/535][121976] Loss_D: -0.021120 Loss_G: 0.007507 Loss_D_real: -0.025523 Loss_D_fake -0.004403
[1182/5000][535/535][121977] Loss_D: -0.023279 Loss_G: 0.029263 Loss_D_real: -0.016991 Loss_D_fake 0.006287
[1183/5000][5/535][121978] Loss_D: -0.021238 Loss_G: 0.009186 Loss_D_real: -0.014357 Loss_D_fake 0.006881
[1183/5000][10/535][121979] Loss_D: -0.021848 Loss_G: 0.015340 Loss_D_real: -0.022662 Loss_D_fake -0.000814
[1183/5000][15/535][121980] Loss_D: -0.020607 Loss_G: -0.007198 Loss_D_real: -0.012026 Loss_D_fake 0.008580
[1183/5000][20/535][121981] Loss_D: -0.022831 Loss_G: 0.009797 Loss_D_real: -0.027489 Loss_D_fake -0.004658
[1183/5000][25/535][121982] Loss_D: -0.021443 Loss_G: 0.004319 Loss_D_real: -0.012847 Loss_D_fake 0.008596
[1183/5000][30/535][121983] Loss_D: -0.020377 Loss_G: 0.003554 Loss_D_real: -0.012051 Loss_D_fake 0.008326
[1183/5000][35/535][121984] Loss_D: -0.020547 Loss_G: 0.001275 Loss_D_real: -0.006143 Loss_D_fake 0.014404
[1183/5000][40/535][121985] Loss_D: -0.019951 Loss_G: 0.013574 Loss_D_real: -0.028825 Loss_D_fake -0.008874
[1183/5000][45/535][121986] Loss_D: -0.021502 Loss_G: 0.014804 Loss_D_real: -0.021826 Loss_D_fake -0.000324
[1183/5000][50/535][121987] Loss_D: -0.021186 Loss_G: 0.007179 Loss_D_real: -0.015924 Loss_D_fake 0.005262
[1183/5000][55/535][121988] Loss_D: -0.021108 Loss_G: 0.000447 Loss_D_real: -0.011702 Loss_D_fake 0.009405
[1183/5000][60/535][121989] Loss_D: -0.020282 Loss_G: -0.001425 Loss_D_real: -0.004929 Loss_D_fake 0.015352
[1183/5000][65/535][121990] Loss_D: -0.020700 Loss_G: 0.002595 Loss_D_real: -0.013248 Loss_D_fake 0.007452
[1183/5000][70/535][121991] Loss_D: -0.019725 Loss_G: 0.031568 Loss_D_real: -0.038042 Loss_D_fake -0.018317
[1183/5000][75/535][121992] Loss_D: -0.019657 Loss_G: 0.013501 Loss_D_real: -0.030452 Loss_D_fake -0.010796
[1183/5000][80/535][121993] Loss_D: -0.021147 Loss_G: 0.004667 Loss_D_real: -0.030812 Loss_D_fake -0.009664
[1183/5000][85/535][121994] Loss_D: -0.020656 Loss_G: 0.016896 Loss_D_real: -0.015854 Loss_D_fake 0.004803
[1183/5000][90/535][121995] Loss_D: -0.020254 Loss_G: -0.000726 Loss_D_real: -0.017551 Loss_D_fake 0.002704
[1183/5000][95/535][121996] Loss_D: -0.018966 Loss_G: 0.027975 Loss_D_real: -0.033196 Loss_D_fake -0.014230
[1183/5000][100/535][121997] Loss_D: -0.022592 Loss_G: -0.006513 Loss_D_real: -0.011167 Loss_D_fake 0.011425
[1183/5000][105/535][121998] Loss_D: -0.021276 Loss_G: 0.013071 Loss_D_real: -0.017616 Loss_D_fake 0.003660
[1183/5000][110/535][121999] Loss_D: -0.020600 Loss_G: -0.001614 Loss_D_real: -0.004012 Loss_D_fake 0.016588
[1183/5000][115/535][122000] Loss_D: -0.019747 Loss_G: 0.007820 Loss_D_real: -0.014162 Loss_D_fake 0.005584
[1183/5000][215/535][122001] Loss_D: -0.022622 Loss_G: -0.007790 Loss_D_real: -0.007942 Loss_D_fake 0.014680
[1183/5000][220/535][122002] Loss_D: -0.022841 Loss_G: 0.001588 Loss_D_real: -0.013785 Loss_D_fake 0.009056
[1183/5000][225/535][122003] Loss_D: -0.019879 Loss_G: 0.003955 Loss_D_real: -0.016341 Loss_D_fake 0.003538
[1183/5000][230/535][122004] Loss_D: -0.019399 Loss_G: 0.009211 Loss_D_real: -0.019704 Loss_D_fake -0.000306
[1183/5000][235/535][122005] Loss_D: -0.019714 Loss_G: 0.007409 Loss_D_real: -0.013227 Loss_D_fake 0.006487
[1183/5000][240/535][122006] Loss_D: -0.020879 Loss_G: -0.002392 Loss_D_real: -0.023164 Loss_D_fake -0.002284
[1183/5000][245/535][122007] Loss_D: -0.021847 Loss_G: 0.015615 Loss_D_real: -0.016535 Loss_D_fake 0.005312
[1183/5000][250/535][122008] Loss_D: -0.019987 Loss_G: -0.013425 Loss_D_real: -0.007114 Loss_D_fake 0.012872
[1183/5000][255/535][122009] Loss_D: -0.019824 Loss_G: 0.002055 Loss_D_real: -0.020524 Loss_D_fake -0.000699
[1183/5000][260/535][122010] Loss_D: -0.020968 Loss_G: 0.017456 Loss_D_real: -0.018301 Loss_D_fake 0.002666
[1183/5000][265/535][122011] Loss_D: -0.018935 Loss_G: -0.000863 Loss_D_real: 0.002071 Loss_D_fake 0.021006
[1183/5000][270/535][122012] Loss_D: -0.020152 Loss_G: 0.007901 Loss_D_real: -0.028596 Loss_D_fake -0.008444
[1183/5000][275/535][122013] Loss_D: -0.020990 Loss_G: -0.007982 Loss_D_real: -0.003486 Loss_D_fake 0.017504
[1183/5000][280/535][122014] Loss_D: -0.020339 Loss_G: 0.008260 Loss_D_real: -0.029936 Loss_D_fake -0.009597
[1183/5000][285/535][122015] Loss_D: -0.021499 Loss_G: 0.020732 Loss_D_real: -0.016932 Loss_D_fake 0.004567
[1183/5000][290/535][122016] Loss_D: -0.020955 Loss_G: 0.020509 Loss_D_real: -0.022504 Loss_D_fake -0.001549
[1183/5000][295/535][122017] Loss_D: -0.020628 Loss_G: -0.002068 Loss_D_real: -0.006262 Loss_D_fake 0.014366
[1183/5000][300/535][122018] Loss_D: -0.019354 Loss_G: -0.001710 Loss_D_real: -0.009587 Loss_D_fake 0.009766
[1183/5000][305/535][122019] Loss_D: -0.020142 Loss_G: 0.021809 Loss_D_real: -0.025934 Loss_D_fake -0.005791
[1183/5000][310/535][122020] Loss_D: -0.019455 Loss_G: 0.008963 Loss_D_real: -0.020264 Loss_D_fake -0.000809
[1183/5000][315/535][122021] Loss_D: -0.020684 Loss_G: -0.002387 Loss_D_real: -0.006029 Loss_D_fake 0.014656
[1183/5000][320/535][122022] Loss_D: -0.021454 Loss_G: -0.000955 Loss_D_real: -0.016826 Loss_D_fake 0.004628
[1183/5000][325/535][122023] Loss_D: -0.020443 Loss_G: -0.003241 Loss_D_real: -0.016524 Loss_D_fake 0.003919
[1183/5000][330/535][122024] Loss_D: -0.018984 Loss_G: -0.012969 Loss_D_real: -0.006199 Loss_D_fake 0.012785
[1183/5000][335/535][122025] Loss_D: -0.020574 Loss_G: 0.017845 Loss_D_real: -0.028007 Loss_D_fake -0.007433
[1183/5000][340/535][122026] Loss_D: -0.020035 Loss_G: 0.004631 Loss_D_real: -0.014939 Loss_D_fake 0.005096
[1183/5000][345/535][122027] Loss_D: -0.020109 Loss_G: 0.002000 Loss_D_real: -0.003475 Loss_D_fake 0.016634
[1183/5000][350/535][122028] Loss_D: -0.021247 Loss_G: -0.003910 Loss_D_real: -0.018567 Loss_D_fake 0.002681
[1183/5000][355/535][122029] Loss_D: -0.018732 Loss_G: 0.017881 Loss_D_real: -0.042094 Loss_D_fake -0.023362
[1183/5000][360/535][122030] Loss_D: -0.020757 Loss_G: 0.000784 Loss_D_real: -0.014244 Loss_D_fake 0.006513
[1183/5000][365/535][122031] Loss_D: -0.020550 Loss_G: 0.010945 Loss_D_real: -0.024600 Loss_D_fake -0.004049
[1183/5000][370/535][122032] Loss_D: -0.020965 Loss_G: 0.005316 Loss_D_real: -0.003139 Loss_D_fake 0.017826
[1183/5000][375/535][122033] Loss_D: -0.019429 Loss_G: 0.016994 Loss_D_real: -0.030514 Loss_D_fake -0.011084
[1183/5000][380/535][122034] Loss_D: -0.019990 Loss_G: 0.016535 Loss_D_real: -0.031873 Loss_D_fake -0.011883
[1183/5000][385/535][122035] Loss_D: -0.022165 Loss_G: 0.004059 Loss_D_real: -0.009612 Loss_D_fake 0.012553
[1183/5000][390/535][122036] Loss_D: -0.021163 Loss_G: 0.011552 Loss_D_real: -0.020492 Loss_D_fake 0.000671
[1183/5000][395/535][122037] Loss_D: -0.021289 Loss_G: 0.007532 Loss_D_real: -0.025892 Loss_D_fake -0.004603
[1183/5000][400/535][122038] Loss_D: -0.020748 Loss_G: 0.007626 Loss_D_real: -0.023103 Loss_D_fake -0.002355
[1183/5000][405/535][122039] Loss_D: -0.020110 Loss_G: 0.009293 Loss_D_real: -0.025283 Loss_D_fake -0.005174
[1183/5000][410/535][122040] Loss_D: -0.019976 Loss_G: -0.009521 Loss_D_real: -0.015335 Loss_D_fake 0.004641
[1183/5000][415/535][122041] Loss_D: -0.020567 Loss_G: 0.001172 Loss_D_real: -0.020160 Loss_D_fake 0.000406
[1183/5000][420/535][122042] Loss_D: -0.020351 Loss_G: 0.009234 Loss_D_real: -0.015304 Loss_D_fake 0.005047
[1183/5000][425/535][122043] Loss_D: -0.019905 Loss_G: 0.025945 Loss_D_real: -0.030437 Loss_D_fake -0.010532
[1183/5000][430/535][122044] Loss_D: -0.019032 Loss_G: 0.022546 Loss_D_real: -0.028869 Loss_D_fake -0.009838
[1183/5000][435/535][122045] Loss_D: -0.021071 Loss_G: -0.001184 Loss_D_real: -0.013428 Loss_D_fake 0.007643
[1183/5000][440/535][122046] Loss_D: -0.019347 Loss_G: 0.006868 Loss_D_real: -0.023170 Loss_D_fake -0.003823
[1183/5000][445/535][122047] Loss_D: -0.019774 Loss_G: 0.013454 Loss_D_real: -0.016946 Loss_D_fake 0.002828
[1183/5000][450/535][122048] Loss_D: -0.020758 Loss_G: -0.003219 Loss_D_real: -0.012955 Loss_D_fake 0.007803
[1183/5000][455/535][122049] Loss_D: -0.019117 Loss_G: -0.021690 Loss_D_real: 0.001393 Loss_D_fake 0.020510
[1183/5000][460/535][122050] Loss_D: -0.019991 Loss_G: 0.016361 Loss_D_real: -0.023160 Loss_D_fake -0.003170
[1183/5000][465/535][122051] Loss_D: -0.020813 Loss_G: 0.002433 Loss_D_real: -0.019413 Loss_D_fake 0.001400
[1183/5000][470/535][122052] Loss_D: -0.020797 Loss_G: 0.002166 Loss_D_real: -0.021291 Loss_D_fake -0.000495
[1183/5000][475/535][122053] Loss_D: -0.020257 Loss_G: 0.026295 Loss_D_real: -0.022690 Loss_D_fake -0.002433
[1183/5000][480/535][122054] Loss_D: -0.020632 Loss_G: 0.005162 Loss_D_real: -0.015051 Loss_D_fake 0.005581
[1183/5000][485/535][122055] Loss_D: -0.020097 Loss_G: 0.006939 Loss_D_real: -0.011998 Loss_D_fake 0.008099
[1183/5000][490/535][122056] Loss_D: -0.021152 Loss_G: 0.012358 Loss_D_real: -0.017049 Loss_D_fake 0.004103
[1183/5000][495/535][122057] Loss_D: -0.019592 Loss_G: 0.026228 Loss_D_real: -0.025110 Loss_D_fake -0.005518
[1183/5000][500/535][122058] Loss_D: -0.019806 Loss_G: -0.005929 Loss_D_real: -0.003266 Loss_D_fake 0.016540
[1183/5000][505/535][122059] Loss_D: -0.020734 Loss_G: 0.004932 Loss_D_real: -0.017954 Loss_D_fake 0.002780
[1183/5000][510/535][122060] Loss_D: -0.020184 Loss_G: 0.000092 Loss_D_real: -0.002823 Loss_D_fake 0.017361
[1183/5000][515/535][122061] Loss_D: -0.019389 Loss_G: -0.009175 Loss_D_real: -0.006368 Loss_D_fake 0.013021
[1183/5000][520/535][122062] Loss_D: -0.020427 Loss_G: 0.017479 Loss_D_real: -0.022021 Loss_D_fake -0.001594
[1183/5000][525/535][122063] Loss_D: -0.020795 Loss_G: 0.015779 Loss_D_real: -0.016472 Loss_D_fake 0.004323
[1183/5000][530/535][122064] Loss_D: -0.019522 Loss_G: -0.010613 Loss_D_real: 0.000595 Loss_D_fake 0.020117
[1183/5000][535/535][122065] Loss_D: -0.020635 Loss_G: -0.008877 Loss_D_real: -0.020411 Loss_D_fake 0.000224
[1184/5000][5/535][122066] Loss_D: -0.018271 Loss_G: 0.006894 Loss_D_real: -0.014604 Loss_D_fake 0.003668
[1184/5000][10/535][122067] Loss_D: -0.021277 Loss_G: -0.005058 Loss_D_real: -0.013877 Loss_D_fake 0.007400
[1184/5000][15/535][122068] Loss_D: -0.019482 Loss_G: 0.011070 Loss_D_real: -0.029901 Loss_D_fake -0.010419
[1184/5000][20/535][122069] Loss_D: -0.021409 Loss_G: -0.004707 Loss_D_real: -0.009104 Loss_D_fake 0.012306
[1184/5000][25/535][122070] Loss_D: -0.022014 Loss_G: 0.009860 Loss_D_real: 0.001183 Loss_D_fake 0.023197
[1184/5000][30/535][122071] Loss_D: -0.019858 Loss_G: 0.008827 Loss_D_real: -0.013919 Loss_D_fake 0.005939
[1184/5000][35/535][122072] Loss_D: -0.019034 Loss_G: -0.017880 Loss_D_real: -0.012649 Loss_D_fake 0.006385
[1184/5000][40/535][122073] Loss_D: -0.020232 Loss_G: 0.009611 Loss_D_real: -0.015334 Loss_D_fake 0.004899
[1184/5000][45/535][122074] Loss_D: -0.021043 Loss_G: 0.014810 Loss_D_real: -0.020980 Loss_D_fake 0.000063
[1184/5000][50/535][122075] Loss_D: -0.019552 Loss_G: -0.016435 Loss_D_real: -0.005875 Loss_D_fake 0.013677
[1184/5000][55/535][122076] Loss_D: -0.021502 Loss_G: 0.022058 Loss_D_real: -0.032382 Loss_D_fake -0.010880
[1184/5000][60/535][122077] Loss_D: -0.019797 Loss_G: -0.009283 Loss_D_real: -0.015730 Loss_D_fake 0.004067
[1184/5000][65/535][122078] Loss_D: -0.020512 Loss_G: -0.005475 Loss_D_real: -0.008511 Loss_D_fake 0.012000
[1184/5000][70/535][122079] Loss_D: -0.019735 Loss_G: 0.008659 Loss_D_real: -0.016689 Loss_D_fake 0.003046
[1184/5000][75/535][122080] Loss_D: -0.020083 Loss_G: 0.006840 Loss_D_real: -0.016172 Loss_D_fake 0.003912
[1184/5000][80/535][122081] Loss_D: -0.020015 Loss_G: 0.025647 Loss_D_real: -0.031991 Loss_D_fake -0.011976
[1184/5000][85/535][122082] Loss_D: -0.021142 Loss_G: 0.002502 Loss_D_real: -0.016352 Loss_D_fake 0.004791
[1184/5000][90/535][122083] Loss_D: -0.022106 Loss_G: 0.018936 Loss_D_real: -0.022877 Loss_D_fake -0.000771
[1184/5000][95/535][122084] Loss_D: -0.020872 Loss_G: 0.014418 Loss_D_real: -0.012004 Loss_D_fake 0.008867
[1184/5000][100/535][122085] Loss_D: -0.020284 Loss_G: 0.002403 Loss_D_real: -0.005971 Loss_D_fake 0.014313
[1184/5000][105/535][122086] Loss_D: -0.020184 Loss_G: 0.009844 Loss_D_real: -0.014499 Loss_D_fake 0.005685
[1184/5000][110/535][122087] Loss_D: -0.020431 Loss_G: 0.003083 Loss_D_real: -0.016927 Loss_D_fake 0.003503
[1184/5000][115/535][122088] Loss_D: -0.021452 Loss_G: -0.001508 Loss_D_real: -0.013949 Loss_D_fake 0.007503
[1184/5000][120/535][122089] Loss_D: -0.021392 Loss_G: 0.016921 Loss_D_real: -0.022031 Loss_D_fake -0.000639
[1184/5000][125/535][122090] Loss_D: -0.020619 Loss_G: 0.002031 Loss_D_real: -0.011431 Loss_D_fake 0.009188
[1184/5000][130/535][122091] Loss_D: -0.019810 Loss_G: -0.004331 Loss_D_real: -0.004662 Loss_D_fake 0.015147
[1184/5000][135/535][122092] Loss_D: -0.019449 Loss_G: 0.005798 Loss_D_real: -0.021222 Loss_D_fake -0.001772
[1184/5000][140/535][122093] Loss_D: -0.022303 Loss_G: 0.015071 Loss_D_real: -0.020160 Loss_D_fake 0.002143
[1184/5000][145/535][122094] Loss_D: -0.021876 Loss_G: 0.002912 Loss_D_real: -0.014527 Loss_D_fake 0.007349
[1184/5000][150/535][122095] Loss_D: -0.020239 Loss_G: 0.010732 Loss_D_real: -0.030058 Loss_D_fake -0.009819
[1184/5000][155/535][122096] Loss_D: -0.020182 Loss_G: 0.017487 Loss_D_real: -0.027732 Loss_D_fake -0.007550
[1184/5000][160/535][122097] Loss_D: -0.020084 Loss_G: 0.011268 Loss_D_real: -0.016016 Loss_D_fake 0.004069
[1184/5000][165/535][122098] Loss_D: -0.019968 Loss_G: 0.004031 Loss_D_real: -0.008529 Loss_D_fake 0.011439
[1184/5000][170/535][122099] Loss_D: -0.020389 Loss_G: -0.000178 Loss_D_real: -0.022132 Loss_D_fake -0.001743
[1184/5000][175/535][122100] Loss_D: -0.021389 Loss_G: 0.001665 Loss_D_real: -0.026225 Loss_D_fake -0.004836
[1184/5000][180/535][122101] Loss_D: -0.019778 Loss_G: 0.010042 Loss_D_real: -0.021425 Loss_D_fake -0.001647
[1184/5000][185/535][122102] Loss_D: -0.020532 Loss_G: 0.010655 Loss_D_real: -0.008373 Loss_D_fake 0.012159
[1184/5000][190/535][122103] Loss_D: -0.019733 Loss_G: -0.006775 Loss_D_real: -0.010596 Loss_D_fake 0.009137
[1184/5000][195/535][122104] Loss_D: -0.021359 Loss_G: -0.005899 Loss_D_real: 0.010675 Loss_D_fake 0.032033
[1184/5000][200/535][122105] Loss_D: -0.018530 Loss_G: 0.002546 Loss_D_real: -0.021966 Loss_D_fake -0.003436
[1184/5000][205/535][122106] Loss_D: -0.019538 Loss_G: 0.017839 Loss_D_real: -0.041475 Loss_D_fake -0.021937
[1184/5000][210/535][122107] Loss_D: -0.021623 Loss_G: 0.005162 Loss_D_real: -0.017945 Loss_D_fake 0.003678
[1184/5000][215/535][122108] Loss_D: -0.020362 Loss_G: 0.016502 Loss_D_real: -0.038097 Loss_D_fake -0.017735
[1184/5000][220/535][122109] Loss_D: -0.019582 Loss_G: 0.019801 Loss_D_real: -0.031072 Loss_D_fake -0.011490
[1184/5000][225/535][122110] Loss_D: -0.020162 Loss_G: 0.013577 Loss_D_real: -0.022161 Loss_D_fake -0.001998
[1184/5000][230/535][122111] Loss_D: -0.020244 Loss_G: 0.002554 Loss_D_real: -0.014553 Loss_D_fake 0.005691
[1184/5000][235/535][122112] Loss_D: -0.021141 Loss_G: 0.002174 Loss_D_real: -0.017912 Loss_D_fake 0.003229
[1184/5000][240/535][122113] Loss_D: -0.018817 Loss_G: 0.019098 Loss_D_real: -0.024679 Loss_D_fake -0.005862
[1184/5000][245/535][122114] Loss_D: -0.021348 Loss_G: -0.007956 Loss_D_real: -0.010299 Loss_D_fake 0.011049
[1184/5000][250/535][122115] Loss_D: -0.020916 Loss_G: 0.005180 Loss_D_real: -0.031566 Loss_D_fake -0.010651
[1184/5000][255/535][122116] Loss_D: -0.020591 Loss_G: 0.018685 Loss_D_real: -0.030000 Loss_D_fake -0.009408
[1184/5000][260/535][122117] Loss_D: -0.020299 Loss_G: 0.006362 Loss_D_real: -0.012707 Loss_D_fake 0.007592
[1184/5000][265/535][122118] Loss_D: -0.019481 Loss_G: -0.012192 Loss_D_real: -0.001935 Loss_D_fake 0.017545
[1184/5000][270/535][122119] Loss_D: -0.020423 Loss_G: 0.012213 Loss_D_real: -0.022389 Loss_D_fake -0.001966
[1184/5000][275/535][122120] Loss_D: -0.019566 Loss_G: 0.012455 Loss_D_real: -0.015397 Loss_D_fake 0.004170
[1184/5000][280/535][122121] Loss_D: -0.019593 Loss_G: -0.005500 Loss_D_real: 0.003129 Loss_D_fake 0.022722
[1184/5000][285/535][122122] Loss_D: -0.019000 Loss_G: 0.015997 Loss_D_real: -0.033067 Loss_D_fake -0.014067
[1184/5000][290/535][122123] Loss_D: -0.018921 Loss_G: 0.030902 Loss_D_real: -0.033688 Loss_D_fake -0.014767
[1184/5000][295/535][122124] Loss_D: -0.020241 Loss_G: -0.006411 Loss_D_real: 0.005499 Loss_D_fake 0.025740
[1184/5000][300/535][122125] Loss_D: -0.020570 Loss_G: 0.009033 Loss_D_real: -0.012617 Loss_D_fake 0.007953
[1184/5000][305/535][122126] Loss_D: -0.021315 Loss_G: -0.006506 Loss_D_real: -0.007491 Loss_D_fake 0.013824
[1184/5000][310/535][122127] Loss_D: -0.020813 Loss_G: 0.004199 Loss_D_real: -0.017766 Loss_D_fake 0.003047
[1184/5000][315/535][122128] Loss_D: -0.019916 Loss_G: 0.014563 Loss_D_real: -0.029080 Loss_D_fake -0.009164
[1184/5000][320/535][122129] Loss_D: -0.020511 Loss_G: 0.005006 Loss_D_real: -0.018765 Loss_D_fake 0.001746
[1184/5000][325/535][122130] Loss_D: -0.019459 Loss_G: 0.017481 Loss_D_real: -0.026101 Loss_D_fake -0.006643
[1184/5000][330/535][122131] Loss_D: -0.020599 Loss_G: 0.003658 Loss_D_real: -0.020611 Loss_D_fake -0.000012
[1184/5000][335/535][122132] Loss_D: -0.020704 Loss_G: 0.023116 Loss_D_real: -0.027430 Loss_D_fake -0.006726
[1184/5000][340/535][122133] Loss_D: -0.019669 Loss_G: -0.016957 Loss_D_real: -0.003535 Loss_D_fake 0.016135
[1184/5000][345/535][122134] Loss_D: -0.018812 Loss_G: 0.021461 Loss_D_real: -0.037181 Loss_D_fake -0.018369
[1184/5000][350/535][122135] Loss_D: -0.020971 Loss_G: -0.003455 Loss_D_real: -0.011128 Loss_D_fake 0.009843
[1184/5000][355/535][122136] Loss_D: -0.020730 Loss_G: -0.004484 Loss_D_real: -0.012452 Loss_D_fake 0.008279
[1184/5000][360/535][122137] Loss_D: -0.020852 Loss_G: 0.004398 Loss_D_real: -0.014939 Loss_D_fake 0.005913
[1184/5000][365/535][122138] Loss_D: -0.019356 Loss_G: 0.011735 Loss_D_real: -0.020420 Loss_D_fake -0.001064
[1184/5000][370/535][122139] Loss_D: -0.021456 Loss_G: 0.013593 Loss_D_real: -0.012225 Loss_D_fake 0.009231
[1184/5000][375/535][122140] Loss_D: -0.019978 Loss_G: 0.027803 Loss_D_real: -0.031867 Loss_D_fake -0.011890
[1184/5000][380/535][122141] Loss_D: -0.019701 Loss_G: -0.011801 Loss_D_real: 0.001940 Loss_D_fake 0.021641
[1184/5000][385/535][122142] Loss_D: -0.021172 Loss_G: 0.008785 Loss_D_real: -0.012416 Loss_D_fake 0.008756
[1184/5000][390/535][122143] Loss_D: -0.021200 Loss_G: 0.012504 Loss_D_real: -0.019510 Loss_D_fake 0.001689
[1184/5000][395/535][122144] Loss_D: -0.021198 Loss_G: 0.004755 Loss_D_real: -0.032924 Loss_D_fake -0.011726
[1184/5000][400/535][122145] Loss_D: -0.021070 Loss_G: 0.003711 Loss_D_real: -0.017098 Loss_D_fake 0.003972
[1184/5000][405/535][122146] Loss_D: -0.022154 Loss_G: 0.013808 Loss_D_real: -0.028184 Loss_D_fake -0.006030
[1184/5000][410/535][122147] Loss_D: -0.020619 Loss_G: 0.010842 Loss_D_real: -0.025049 Loss_D_fake -0.004430
[1184/5000][415/535][122148] Loss_D: -0.020860 Loss_G: 0.021262 Loss_D_real: -0.023805 Loss_D_fake -0.002945
[1184/5000][420/535][122149] Loss_D: -0.021435 Loss_G: -0.013418 Loss_D_real: -0.011703 Loss_D_fake 0.009732
[1184/5000][425/535][122150] Loss_D: -0.021191 Loss_G: 0.003628 Loss_D_real: -0.011256 Loss_D_fake 0.009935
[1184/5000][430/535][122151] Loss_D: -0.019651 Loss_G: -0.000233 Loss_D_real: -0.017739 Loss_D_fake 0.001912
[1184/5000][435/535][122152] Loss_D: -0.020198 Loss_G: 0.009087 Loss_D_real: -0.015497 Loss_D_fake 0.004700
[1184/5000][440/535][122153] Loss_D: -0.021574 Loss_G: -0.002473 Loss_D_real: -0.010314 Loss_D_fake 0.011260
[1184/5000][445/535][122154] Loss_D: -0.021835 Loss_G: 0.007660 Loss_D_real: -0.009386 Loss_D_fake 0.012449
[1184/5000][450/535][122155] Loss_D: -0.019206 Loss_G: 0.023138 Loss_D_real: -0.034533 Loss_D_fake -0.015327
[1184/5000][455/535][122156] Loss_D: -0.020565 Loss_G: 0.000759 Loss_D_real: -0.023896 Loss_D_fake -0.003331
[1184/5000][460/535][122157] Loss_D: -0.020571 Loss_G: 0.002968 Loss_D_real: -0.017628 Loss_D_fake 0.002943
[1184/5000][465/535][122158] Loss_D: -0.021023 Loss_G: -0.011661 Loss_D_real: -0.002215 Loss_D_fake 0.018808
[1184/5000][470/535][122159] Loss_D: -0.021492 Loss_G: 0.009899 Loss_D_real: -0.008861 Loss_D_fake 0.012630
[1184/5000][475/535][122160] Loss_D: -0.020813 Loss_G: 0.023324 Loss_D_real: -0.026690 Loss_D_fake -0.005877
[1184/5000][480/535][122161] Loss_D: -0.021345 Loss_G: 0.010233 Loss_D_real: -0.024201 Loss_D_fake -0.002856
[1184/5000][485/535][122162] Loss_D: -0.021976 Loss_G: -0.003405 Loss_D_real: -0.007901 Loss_D_fake 0.014075
[1184/5000][490/535][122163] Loss_D: -0.019480 Loss_G: -0.007327 Loss_D_real: 0.000981 Loss_D_fake 0.020461
[1184/5000][495/535][122164] Loss_D: -0.020458 Loss_G: 0.014097 Loss_D_real: -0.026798 Loss_D_fake -0.006339
[1184/5000][500/535][122165] Loss_D: -0.021191 Loss_G: 0.006667 Loss_D_real: -0.026328 Loss_D_fake -0.005136
[1184/5000][505/535][122166] Loss_D: -0.020870 Loss_G: -0.007402 Loss_D_real: -0.013257 Loss_D_fake 0.007613
[1184/5000][510/535][122167] Loss_D: -0.019554 Loss_G: -0.009550 Loss_D_real: -0.005749 Loss_D_fake 0.013804
[1184/5000][515/535][122168] Loss_D: -0.022110 Loss_G: 0.006508 Loss_D_real: -0.021181 Loss_D_fake 0.000929
[1184/5000][520/535][122169] Loss_D: -0.019796 Loss_G: 0.015782 Loss_D_real: -0.033351 Loss_D_fake -0.013555
[1184/5000][525/535][122170] Loss_D: -0.022476 Loss_G: -0.003509 Loss_D_real: -0.002278 Loss_D_fake 0.020198
[1184/5000][530/535][122171] Loss_D: -0.021391 Loss_G: 0.012398 Loss_D_real: -0.016625 Loss_D_fake 0.004766
[1184/5000][535/535][122172] Loss_D: -0.019846 Loss_G: 0.031816 Loss_D_real: -0.023507 Loss_D_fake -0.003661
[1185/5000][5/535][122173] Loss_D: -0.018259 Loss_G: 0.005517 Loss_D_real: -0.031563 Loss_D_fake -0.013304
[1185/5000][10/535][122174] Loss_D: -0.020835 Loss_G: 0.008841 Loss_D_real: -0.021098 Loss_D_fake -0.000263
[1185/5000][15/535][122175] Loss_D: -0.019632 Loss_G: -0.004327 Loss_D_real: -0.005184 Loss_D_fake 0.014448
[1185/5000][20/535][122176] Loss_D: -0.020958 Loss_G: -0.004241 Loss_D_real: -0.013884 Loss_D_fake 0.007074
[1185/5000][25/535][122177] Loss_D: -0.021812 Loss_G: 0.000496 Loss_D_real: -0.009222 Loss_D_fake 0.012590
[1185/5000][30/535][122178] Loss_D: -0.021179 Loss_G: 0.006957 Loss_D_real: -0.023849 Loss_D_fake -0.002670
[1185/5000][35/535][122179] Loss_D: -0.020783 Loss_G: 0.016837 Loss_D_real: -0.030077 Loss_D_fake -0.009294
[1185/5000][40/535][122180] Loss_D: -0.019472 Loss_G: 0.016829 Loss_D_real: -0.022155 Loss_D_fake -0.002683
[1185/5000][45/535][122181] Loss_D: -0.021624 Loss_G: 0.005543 Loss_D_real: -0.021073 Loss_D_fake 0.000551
[1185/5000][50/535][122182] Loss_D: -0.021017 Loss_G: -0.002240 Loss_D_real: -0.012300 Loss_D_fake 0.008717
[1185/5000][55/535][122183] Loss_D: -0.019653 Loss_G: 0.022992 Loss_D_real: -0.031706 Loss_D_fake -0.012053
[1185/5000][60/535][122184] Loss_D: -0.020229 Loss_G: -0.003225 Loss_D_real: -0.011832 Loss_D_fake 0.008397
[1185/5000][65/535][122185] Loss_D: -0.019384 Loss_G: 0.031500 Loss_D_real: -0.034767 Loss_D_fake -0.015383
[1185/5000][70/535][122186] Loss_D: -0.020496 Loss_G: 0.003442 Loss_D_real: -0.022395 Loss_D_fake -0.001899
[1185/5000][75/535][122187] Loss_D: -0.020506 Loss_G: 0.017378 Loss_D_real: -0.019872 Loss_D_fake 0.000633
[1185/5000][80/535][122188] Loss_D: -0.020472 Loss_G: 0.008756 Loss_D_real: -0.027865 Loss_D_fake -0.007394
[1185/5000][85/535][122189] Loss_D: -0.020012 Loss_G: 0.010013 Loss_D_real: -0.019479 Loss_D_fake 0.000533
[1185/5000][90/535][122190] Loss_D: -0.019931 Loss_G: 0.005246 Loss_D_real: -0.030522 Loss_D_fake -0.010592
[1185/5000][95/535][122191] Loss_D: -0.020864 Loss_G: 0.009523 Loss_D_real: -0.015746 Loss_D_fake 0.005118
[1185/5000][100/535][122192] Loss_D: -0.020826 Loss_G: 0.002711 Loss_D_real: -0.017356 Loss_D_fake 0.003471
[1185/5000][105/535][122193] Loss_D: -0.020318 Loss_G: -0.005801 Loss_D_real: -0.012069 Loss_D_fake 0.008249
[1185/5000][110/535][122194] Loss_D: -0.018809 Loss_G: 0.019393 Loss_D_real: -0.024138 Loss_D_fake -0.005329
[1185/5000][115/535][122195] Loss_D: -0.020153 Loss_G: 0.004653 Loss_D_real: -0.008047 Loss_D_fake 0.012106
[1185/5000][120/535][122196] Loss_D: -0.020844 Loss_G: 0.021029 Loss_D_real: -0.019715 Loss_D_fake 0.001129
[1185/5000][125/535][122197] Loss_D: -0.018951 Loss_G: 0.025146 Loss_D_real: -0.020665 Loss_D_fake -0.001714
[1185/5000][130/535][122198] Loss_D: -0.020202 Loss_G: 0.011031 Loss_D_real: -0.010825 Loss_D_fake 0.009377
[1185/5000][135/535][122199] Loss_D: -0.020268 Loss_G: 0.019237 Loss_D_real: -0.024400 Loss_D_fake -0.004132
[1185/5000][140/535][122200] Loss_D: -0.020123 Loss_G: 0.021280 Loss_D_real: -0.029524 Loss_D_fake -0.009401
[1185/5000][145/535][122201] Loss_D: -0.019906 Loss_G: -0.013719 Loss_D_real: -0.008990 Loss_D_fake 0.010915
[1185/5000][150/535][122202] Loss_D: -0.019798 Loss_G: 0.007943 Loss_D_real: -0.019262 Loss_D_fake 0.000536
[1185/5000][155/535][122203] Loss_D: -0.020335 Loss_G: 0.005529 Loss_D_real: -0.022235 Loss_D_fake -0.001900
[1185/5000][160/535][122204] Loss_D: -0.021461 Loss_G: 0.018312 Loss_D_real: -0.011483 Loss_D_fake 0.009979
[1185/5000][165/535][122205] Loss_D: -0.020947 Loss_G: 0.013383 Loss_D_real: -0.014203 Loss_D_fake 0.006745
[1185/5000][170/535][122206] Loss_D: -0.019964 Loss_G: -0.013499 Loss_D_real: -0.000632 Loss_D_fake 0.019331
[1185/5000][175/535][122207] Loss_D: -0.020281 Loss_G: -0.003592 Loss_D_real: -0.015250 Loss_D_fake 0.005032
[1185/5000][180/535][122208] Loss_D: -0.020256 Loss_G: 0.010696 Loss_D_real: -0.016754 Loss_D_fake 0.003502
[1185/5000][185/535][122209] Loss_D: -0.020428 Loss_G: 0.014513 Loss_D_real: -0.028938 Loss_D_fake -0.008510
[1185/5000][190/535][122210] Loss_D: -0.019799 Loss_G: 0.015480 Loss_D_real: -0.029138 Loss_D_fake -0.009339
[1185/5000][195/535][122211] Loss_D: -0.020877 Loss_G: 0.009087 Loss_D_real: -0.010733 Loss_D_fake 0.010144
[1185/5000][200/535][122212] Loss_D: -0.019638 Loss_G: -0.006143 Loss_D_real: -0.021752 Loss_D_fake -0.002115
[1185/5000][205/535][122213] Loss_D: -0.020757 Loss_G: -0.000336 Loss_D_real: -0.007396 Loss_D_fake 0.013361
[1185/5000][210/535][122214] Loss_D: -0.021129 Loss_G: 0.003296 Loss_D_real: -0.024651 Loss_D_fake -0.003523
[1185/5000][215/535][122215] Loss_D: -0.020851 Loss_G: 0.032472 Loss_D_real: -0.028804 Loss_D_fake -0.007953
[1185/5000][220/535][122216] Loss_D: -0.020281 Loss_G: -0.012546 Loss_D_real: -0.007354 Loss_D_fake 0.012928
[1185/5000][225/535][122217] Loss_D: -0.022136 Loss_G: 0.021983 Loss_D_real: -0.022218 Loss_D_fake -0.000082
[1185/5000][230/535][122218] Loss_D: -0.019294 Loss_G: -0.010338 Loss_D_real: 0.002930 Loss_D_fake 0.022224
[1185/5000][235/535][122219] Loss_D: -0.019609 Loss_G: 0.010113 Loss_D_real: -0.021673 Loss_D_fake -0.002064
[1185/5000][240/535][122220] Loss_D: -0.021014 Loss_G: 0.016292 Loss_D_real: -0.018438 Loss_D_fake 0.002576
[1185/5000][245/535][122221] Loss_D: -0.021374 Loss_G: 0.000522 Loss_D_real: -0.018919 Loss_D_fake 0.002455
[1185/5000][250/535][122222] Loss_D: -0.020330 Loss_G: -0.004413 Loss_D_real: -0.009415 Loss_D_fake 0.010915
[1185/5000][255/535][122223] Loss_D: -0.020413 Loss_G: 0.012481 Loss_D_real: -0.025281 Loss_D_fake -0.004868
[1185/5000][260/535][122224] Loss_D: -0.020910 Loss_G: 0.005559 Loss_D_real: -0.013919 Loss_D_fake 0.006991
[1185/5000][265/535][122225] Loss_D: -0.019793 Loss_G: 0.015089 Loss_D_real: -0.014543 Loss_D_fake 0.005251
[1185/5000][270/535][122226] Loss_D: -0.021895 Loss_G: 0.019455 Loss_D_real: -0.030495 Loss_D_fake -0.008600
[1185/5000][275/535][122227] Loss_D: -0.020581 Loss_G: 0.018759 Loss_D_real: -0.018593 Loss_D_fake 0.001988
[1185/5000][280/535][122228] Loss_D: -0.020433 Loss_G: 0.007327 Loss_D_real: -0.028403 Loss_D_fake -0.007970
[1185/5000][285/535][122229] Loss_D: -0.021486 Loss_G: 0.027875 Loss_D_real: -0.036180 Loss_D_fake -0.014694
[1185/5000][290/535][122230] Loss_D: -0.021869 Loss_G: 0.006288 Loss_D_real: -0.009449 Loss_D_fake 0.012419
[1185/5000][295/535][122231] Loss_D: -0.022193 Loss_G: 0.003254 Loss_D_real: -0.016792 Loss_D_fake 0.005401
[1185/5000][300/535][122232] Loss_D: -0.020202 Loss_G: 0.006477 Loss_D_real: -0.031090 Loss_D_fake -0.010888
[1185/5000][305/535][122233] Loss_D: -0.020381 Loss_G: 0.008287 Loss_D_real: -0.025035 Loss_D_fake -0.004655
[1185/5000][310/535][122234] Loss_D: -0.021058 Loss_G: 0.009235 Loss_D_real: -0.013315 Loss_D_fake 0.007743
[1185/5000][315/535][122235] Loss_D: -0.020454 Loss_G: -0.014746 Loss_D_real: -0.006583 Loss_D_fake 0.013871
[1185/5000][320/535][122236] Loss_D: -0.020126 Loss_G: 0.004100 Loss_D_real: -0.022957 Loss_D_fake -0.002830
[1185/5000][325/535][122237] Loss_D: -0.020781 Loss_G: 0.010394 Loss_D_real: -0.007596 Loss_D_fake 0.013184
[1185/5000][330/535][122238] Loss_D: -0.019781 Loss_G: 0.014255 Loss_D_real: -0.031610 Loss_D_fake -0.011830
[1185/5000][335/535][122239] Loss_D: -0.020050 Loss_G: -0.003502 Loss_D_real: -0.014711 Loss_D_fake 0.005340
[1185/5000][340/535][122240] Loss_D: -0.019556 Loss_G: -0.003806 Loss_D_real: -0.006582 Loss_D_fake 0.012974
[1185/5000][345/535][122241] Loss_D: -0.020308 Loss_G: 0.020118 Loss_D_real: -0.033481 Loss_D_fake -0.013172
[1185/5000][350/535][122242] Loss_D: -0.019000 Loss_G: 0.011292 Loss_D_real: -0.006463 Loss_D_fake 0.012538
[1185/5000][355/535][122243] Loss_D: -0.020429 Loss_G: -0.003290 Loss_D_real: -0.005073 Loss_D_fake 0.015356
[1185/5000][360/535][122244] Loss_D: -0.020067 Loss_G: 0.005146 Loss_D_real: -0.019458 Loss_D_fake 0.000609
[1185/5000][365/535][122245] Loss_D: -0.020282 Loss_G: 0.011640 Loss_D_real: -0.016585 Loss_D_fake 0.003697
[1185/5000][370/535][122246] Loss_D: -0.020260 Loss_G: 0.017251 Loss_D_real: -0.019563 Loss_D_fake 0.000697
[1185/5000][375/535][122247] Loss_D: -0.021562 Loss_G: 0.004131 Loss_D_real: -0.018996 Loss_D_fake 0.002566
[1185/5000][380/535][122248] Loss_D: -0.020509 Loss_G: -0.001266 Loss_D_real: -0.005492 Loss_D_fake 0.015017
[1185/5000][385/535][122249] Loss_D: -0.020102 Loss_G: 0.005147 Loss_D_real: -0.009466 Loss_D_fake 0.010636
[1185/5000][390/535][122250] Loss_D: -0.020923 Loss_G: 0.016335 Loss_D_real: -0.010302 Loss_D_fake 0.010621
[1185/5000][395/535][122251] Loss_D: -0.018783 Loss_G: 0.012145 Loss_D_real: -0.022491 Loss_D_fake -0.003708
[1185/5000][400/535][122252] Loss_D: -0.020017 Loss_G: 0.010061 Loss_D_real: -0.018667 Loss_D_fake 0.001350
[1185/5000][405/535][122253] Loss_D: -0.021195 Loss_G: -0.004058 Loss_D_real: -0.017906 Loss_D_fake 0.003289
[1185/5000][410/535][122254] Loss_D: -0.019415 Loss_G: 0.023723 Loss_D_real: -0.033226 Loss_D_fake -0.013811
[1185/5000][415/535][122255] Loss_D: -0.022780 Loss_G: 0.006808 Loss_D_real: -0.020728 Loss_D_fake 0.002053
[1185/5000][420/535][122256] Loss_D: -0.020413 Loss_G: 0.010894 Loss_D_real: -0.019855 Loss_D_fake 0.000558
[1185/5000][425/535][122257] Loss_D: -0.020551 Loss_G: 0.018086 Loss_D_real: -0.025169 Loss_D_fake -0.004618
[1185/5000][430/535][122258] Loss_D: -0.019990 Loss_G: 0.020498 Loss_D_real: -0.027729 Loss_D_fake -0.007739
[1185/5000][435/535][122259] Loss_D: -0.021709 Loss_G: -0.005483 Loss_D_real: -0.008317 Loss_D_fake 0.013392
[1185/5000][440/535][122260] Loss_D: -0.020002 Loss_G: 0.013459 Loss_D_real: -0.028567 Loss_D_fake -0.008566
[1185/5000][445/535][122261] Loss_D: -0.019896 Loss_G: -0.007840 Loss_D_real: -0.008028 Loss_D_fake 0.011868
[1185/5000][450/535][122262] Loss_D: -0.021646 Loss_G: 0.012931 Loss_D_real: -0.013979 Loss_D_fake 0.007667
[1185/5000][455/535][122263] Loss_D: -0.021053 Loss_G: -0.007400 Loss_D_real: -0.014156 Loss_D_fake 0.006897
[1185/5000][460/535][122264] Loss_D: -0.020837 Loss_G: 0.010218 Loss_D_real: -0.028395 Loss_D_fake -0.007558
[1185/5000][465/535][122265] Loss_D: -0.019988 Loss_G: -0.001499 Loss_D_real: -0.005471 Loss_D_fake 0.014516
[1185/5000][470/535][122266] Loss_D: -0.020391 Loss_G: 0.009012 Loss_D_real: -0.013576 Loss_D_fake 0.006815
[1185/5000][475/535][122267] Loss_D: -0.021320 Loss_G: 0.018198 Loss_D_real: -0.022883 Loss_D_fake -0.001563
[1185/5000][480/535][122268] Loss_D: -0.021013 Loss_G: -0.001514 Loss_D_real: -0.017523 Loss_D_fake 0.003490
[1185/5000][485/535][122269] Loss_D: -0.020762 Loss_G: 0.013514 Loss_D_real: -0.023280 Loss_D_fake -0.002518
[1185/5000][490/535][122270] Loss_D: -0.019917 Loss_G: 0.001424 Loss_D_real: -0.011000 Loss_D_fake 0.008917
[1185/5000][495/535][122271] Loss_D: -0.020003 Loss_G: -0.001611 Loss_D_real: -0.003974 Loss_D_fake 0.016029
[1185/5000][500/535][122272] Loss_D: -0.021174 Loss_G: 0.012701 Loss_D_real: -0.034021 Loss_D_fake -0.012847
[1185/5000][505/535][122273] Loss_D: -0.019599 Loss_G: 0.015867 Loss_D_real: -0.027556 Loss_D_fake -0.007957
[1185/5000][510/535][122274] Loss_D: -0.021000 Loss_G: 0.006123 Loss_D_real: -0.021390 Loss_D_fake -0.000391
[1185/5000][515/535][122275] Loss_D: -0.021140 Loss_G: 0.003282 Loss_D_real: -0.016747 Loss_D_fake 0.004393
[1185/5000][520/535][122276] Loss_D: -0.022116 Loss_G: 0.020307 Loss_D_real: -0.027532 Loss_D_fake -0.005416
[1185/5000][525/535][122277] Loss_D: -0.020303 Loss_G: -0.022568 Loss_D_real: -0.003028 Loss_D_fake 0.017275
[1185/5000][530/535][122278] Loss_D: -0.020269 Loss_G: 0.008508 Loss_D_real: -0.019140 Loss_D_fake 0.001129
[1185/5000][535/535][122279] Loss_D: -0.021082 Loss_G: -0.004203 Loss_D_real: 0.000410 Loss_D_fake 0.021492
[1186/5000][5/535][122280] Loss_D: -0.020016 Loss_G: 0.015250 Loss_D_real: -0.025783 Loss_D_fake -0.005768
[1186/5000][10/535][122281] Loss_D: -0.020471 Loss_G: 0.026955 Loss_D_real: -0.033132 Loss_D_fake -0.012661
[1186/5000][15/535][122282] Loss_D: -0.020273 Loss_G: -0.008726 Loss_D_real: -0.001139 Loss_D_fake 0.019134
[1186/5000][20/535][122283] Loss_D: -0.021547 Loss_G: 0.011502 Loss_D_real: -0.023513 Loss_D_fake -0.001967
[1186/5000][25/535][122284] Loss_D: -0.020670 Loss_G: 0.015019 Loss_D_real: -0.026689 Loss_D_fake -0.006020
[1186/5000][30/535][122285] Loss_D: -0.019508 Loss_G: 0.003323 Loss_D_real: 0.002391 Loss_D_fake 0.021899
[1186/5000][35/535][122286] Loss_D: -0.020796 Loss_G: 0.022261 Loss_D_real: -0.027602 Loss_D_fake -0.006805
[1186/5000][40/535][122287] Loss_D: -0.021187 Loss_G: 0.006914 Loss_D_real: -0.018603 Loss_D_fake 0.002584
[1186/5000][45/535][122288] Loss_D: -0.021482 Loss_G: 0.000242 Loss_D_real: -0.019844 Loss_D_fake 0.001637
[1186/5000][50/535][122289] Loss_D: -0.020591 Loss_G: -0.000850 Loss_D_real: -0.005319 Loss_D_fake 0.015272
[1186/5000][55/535][122290] Loss_D: -0.022074 Loss_G: 0.002394 Loss_D_real: -0.009992 Loss_D_fake 0.012081
[1186/5000][60/535][122291] Loss_D: -0.019441 Loss_G: 0.008457 Loss_D_real: -0.021051 Loss_D_fake -0.001610
[1186/5000][65/535][122292] Loss_D: -0.020228 Loss_G: 0.006953 Loss_D_real: -0.031957 Loss_D_fake -0.011729
[1186/5000][70/535][122293] Loss_D: -0.022298 Loss_G: 0.010418 Loss_D_real: -0.013826 Loss_D_fake 0.008472
[1186/5000][75/535][122294] Loss_D: -0.021257 Loss_G: 0.009017 Loss_D_real: -0.014742 Loss_D_fake 0.006515
[1186/5000][80/535][122295] Loss_D: -0.020711 Loss_G: 0.005505 Loss_D_real: -0.029057 Loss_D_fake -0.008346
[1186/5000][85/535][122296] Loss_D: -0.021044 Loss_G: -0.008712 Loss_D_real: -0.006853 Loss_D_fake 0.014191
[1186/5000][90/535][122297] Loss_D: -0.021193 Loss_G: 0.020731 Loss_D_real: -0.024981 Loss_D_fake -0.003788
[1186/5000][95/535][122298] Loss_D: -0.019275 Loss_G: 0.019705 Loss_D_real: -0.040019 Loss_D_fake -0.020744
[1186/5000][100/535][122299] Loss_D: -0.020626 Loss_G: 0.001917 Loss_D_real: -0.017745 Loss_D_fake 0.002881
[1186/5000][105/535][122300] Loss_D: -0.021457 Loss_G: 0.019498 Loss_D_real: -0.026459 Loss_D_fake -0.005002
[1186/5000][110/535][122301] Loss_D: -0.021882 Loss_G: 0.005639 Loss_D_real: -0.013128 Loss_D_fake 0.008754
[1186/5000][115/535][122302] Loss_D: -0.021239 Loss_G: -0.003447 Loss_D_real: -0.004837 Loss_D_fake 0.016403
[1186/5000][120/535][122303] Loss_D: -0.020524 Loss_G: 0.033618 Loss_D_real: -0.027982 Loss_D_fake -0.007458
[1186/5000][125/535][122304] Loss_D: -0.020425 Loss_G: 0.001261 Loss_D_real: -0.015790 Loss_D_fake 0.004636
[1186/5000][130/535][122305] Loss_D: -0.020637 Loss_G: 0.006079 Loss_D_real: -0.012546 Loss_D_fake 0.008090
[1186/5000][135/535][122306] Loss_D: -0.021229 Loss_G: 0.006072 Loss_D_real: -0.017586 Loss_D_fake 0.003643
[1186/5000][140/535][122307] Loss_D: -0.020601 Loss_G: -0.003030 Loss_D_real: -0.008340 Loss_D_fake 0.012261
[1186/5000][145/535][122308] Loss_D: -0.020602 Loss_G: 0.013062 Loss_D_real: -0.016818 Loss_D_fake 0.003784
[1186/5000][150/535][122309] Loss_D: -0.018984 Loss_G: 0.017076 Loss_D_real: -0.018215 Loss_D_fake 0.000768
[1186/5000][155/535][122310] Loss_D: -0.020079 Loss_G: -0.003388 Loss_D_real: -0.021643 Loss_D_fake -0.001563
[1186/5000][160/535][122311] Loss_D: -0.022671 Loss_G: 0.017399 Loss_D_real: -0.017692 Loss_D_fake 0.004979
[1186/5000][165/535][122312] Loss_D: -0.021126 Loss_G: -0.009791 Loss_D_real: -0.015922 Loss_D_fake 0.005204
[1186/5000][170/535][122313] Loss_D: -0.020473 Loss_G: 0.016580 Loss_D_real: -0.016027 Loss_D_fake 0.004446
[1186/5000][175/535][122314] Loss_D: -0.021156 Loss_G: 0.005173 Loss_D_real: -0.025408 Loss_D_fake -0.004252
[1186/5000][180/535][122315] Loss_D: -0.021025 Loss_G: -0.000174 Loss_D_real: -0.017782 Loss_D_fake 0.003242
[1186/5000][185/535][122316] Loss_D: -0.019404 Loss_G: -0.019857 Loss_D_real: -0.008971 Loss_D_fake 0.010433
[1186/5000][190/535][122317] Loss_D: -0.020690 Loss_G: 0.002819 Loss_D_real: -0.014904 Loss_D_fake 0.005785
[1186/5000][195/535][122318] Loss_D: -0.019054 Loss_G: 0.020200 Loss_D_real: -0.023661 Loss_D_fake -0.004607
[1186/5000][200/535][122319] Loss_D: -0.019060 Loss_G: 0.033725 Loss_D_real: -0.023509 Loss_D_fake -0.004449
[1186/5000][205/535][122320] Loss_D: -0.020249 Loss_G: -0.003055 Loss_D_real: -0.009507 Loss_D_fake 0.010742
[1186/5000][210/535][122321] Loss_D: -0.021284 Loss_G: -0.003567 Loss_D_real: -0.004143 Loss_D_fake 0.017141
[1186/5000][215/535][122322] Loss_D: -0.020436 Loss_G: -0.005525 Loss_D_real: -0.015596 Loss_D_fake 0.004840
[1186/5000][220/535][122323] Loss_D: -0.021053 Loss_G: 0.019896 Loss_D_real: -0.027301 Loss_D_fake -0.006248
[1186/5000][225/535][122324] Loss_D: -0.020008 Loss_G: 0.005170 Loss_D_real: -0.006927 Loss_D_fake 0.013081
[1186/5000][230/535][122325] Loss_D: -0.020449 Loss_G: 0.013636 Loss_D_real: -0.030871 Loss_D_fake -0.010423
[1186/5000][235/535][122326] Loss_D: -0.019678 Loss_G: 0.019187 Loss_D_real: -0.027773 Loss_D_fake -0.008095
[1186/5000][240/535][122327] Loss_D: -0.020486 Loss_G: 0.028261 Loss_D_real: -0.025879 Loss_D_fake -0.005393
[1186/5000][245/535][122328] Loss_D: -0.019711 Loss_G: -0.009844 Loss_D_real: -0.009212 Loss_D_fake 0.010499
[1186/5000][250/535][122329] Loss_D: -0.020460 Loss_G: 0.008548 Loss_D_real: -0.024665 Loss_D_fake -0.004205
[1186/5000][255/535][122330] Loss_D: -0.020671 Loss_G: 0.027114 Loss_D_real: -0.031106 Loss_D_fake -0.010435
[1186/5000][260/535][122331] Loss_D: -0.020394 Loss_G: 0.001665 Loss_D_real: -0.023530 Loss_D_fake -0.003136
[1186/5000][265/535][122332] Loss_D: -0.021095 Loss_G: -0.002143 Loss_D_real: -0.011637 Loss_D_fake 0.009458
[1186/5000][270/535][122333] Loss_D: -0.021240 Loss_G: 0.004741 Loss_D_real: -0.021740 Loss_D_fake -0.000500
[1186/5000][275/535][122334] Loss_D: -0.020596 Loss_G: 0.014040 Loss_D_real: -0.018916 Loss_D_fake 0.001680
[1186/5000][280/535][122335] Loss_D: -0.020076 Loss_G: -0.001307 Loss_D_real: -0.013580 Loss_D_fake 0.006496
[1186/5000][285/535][122336] Loss_D: -0.021857 Loss_G: 0.004870 Loss_D_real: -0.013709 Loss_D_fake 0.008147
[1186/5000][290/535][122337] Loss_D: -0.021961 Loss_G: 0.014193 Loss_D_real: -0.006375 Loss_D_fake 0.015586
[1186/5000][295/535][122338] Loss_D: -0.020464 Loss_G: 0.014769 Loss_D_real: -0.023403 Loss_D_fake -0.002939
[1186/5000][300/535][122339] Loss_D: -0.020306 Loss_G: 0.009611 Loss_D_real: -0.016954 Loss_D_fake 0.003352
[1186/5000][305/535][122340] Loss_D: -0.019285 Loss_G: 0.022414 Loss_D_real: -0.024013 Loss_D_fake -0.004728
[1186/5000][310/535][122341] Loss_D: -0.019890 Loss_G: 0.003714 Loss_D_real: -0.017437 Loss_D_fake 0.002453
[1186/5000][315/535][122342] Loss_D: -0.020317 Loss_G: 0.008133 Loss_D_real: -0.023440 Loss_D_fake -0.003123
[1186/5000][320/535][122343] Loss_D: -0.021349 Loss_G: 0.022273 Loss_D_real: -0.023892 Loss_D_fake -0.002543
[1186/5000][325/535][122344] Loss_D: -0.019414 Loss_G: -0.021583 Loss_D_real: -0.004058 Loss_D_fake 0.015356
[1186/5000][330/535][122345] Loss_D: -0.019644 Loss_G: 0.000241 Loss_D_real: -0.007808 Loss_D_fake 0.011836
[1186/5000][335/535][122346] Loss_D: -0.019833 Loss_G: 0.008411 Loss_D_real: -0.030175 Loss_D_fake -0.010341
[1186/5000][340/535][122347] Loss_D: -0.019110 Loss_G: 0.022231 Loss_D_real: -0.022375 Loss_D_fake -0.003264
[1186/5000][345/535][122348] Loss_D: -0.021492 Loss_G: -0.000483 Loss_D_real: -0.015612 Loss_D_fake 0.005880
[1186/5000][350/535][122349] Loss_D: -0.019402 Loss_G: 0.036124 Loss_D_real: -0.029219 Loss_D_fake -0.009817
[1186/5000][355/535][122350] Loss_D: -0.020743 Loss_G: -0.007909 Loss_D_real: -0.005319 Loss_D_fake 0.015424
[1186/5000][360/535][122351] Loss_D: -0.020846 Loss_G: 0.015831 Loss_D_real: -0.024223 Loss_D_fake -0.003376
[1186/5000][365/535][122352] Loss_D: -0.020987 Loss_G: 0.002810 Loss_D_real: -0.018782 Loss_D_fake 0.002205
[1186/5000][370/535][122353] Loss_D: -0.020753 Loss_G: 0.004259 Loss_D_real: -0.019372 Loss_D_fake 0.001381
[1186/5000][375/535][122354] Loss_D: -0.019077 Loss_G: 0.012499 Loss_D_real: -0.028565 Loss_D_fake -0.009488
[1186/5000][380/535][122355] Loss_D: -0.021360 Loss_G: 0.001010 Loss_D_real: -0.007057 Loss_D_fake 0.014303
[1186/5000][385/535][122356] Loss_D: -0.021435 Loss_G: 0.016817 Loss_D_real: -0.024804 Loss_D_fake -0.003369
[1186/5000][390/535][122357] Loss_D: -0.020623 Loss_G: 0.004585 Loss_D_real: -0.030270 Loss_D_fake -0.009647
[1186/5000][395/535][122358] Loss_D: -0.021435 Loss_G: 0.009643 Loss_D_real: -0.023783 Loss_D_fake -0.002347
[1186/5000][400/535][122359] Loss_D: -0.020576 Loss_G: 0.023784 Loss_D_real: -0.021313 Loss_D_fake -0.000737
[1186/5000][405/535][122360] Loss_D: -0.020465 Loss_G: 0.017256 Loss_D_real: -0.034260 Loss_D_fake -0.013794
[1186/5000][410/535][122361] Loss_D: -0.020407 Loss_G: 0.014089 Loss_D_real: -0.024057 Loss_D_fake -0.003650
[1186/5000][415/535][122362] Loss_D: -0.020606 Loss_G: -0.006088 Loss_D_real: -0.016100 Loss_D_fake 0.004506
[1186/5000][420/535][122363] Loss_D: -0.020066 Loss_G: -0.006637 Loss_D_real: -0.020076 Loss_D_fake -0.000010
[1186/5000][425/535][122364] Loss_D: -0.021461 Loss_G: -0.000911 Loss_D_real: -0.009189 Loss_D_fake 0.012273
[1186/5000][430/535][122365] Loss_D: -0.021701 Loss_G: 0.008578 Loss_D_real: -0.019395 Loss_D_fake 0.002307
[1186/5000][435/535][122366] Loss_D: -0.021421 Loss_G: -0.008155 Loss_D_real: -0.009543 Loss_D_fake 0.011878
[1186/5000][440/535][122367] Loss_D: -0.020315 Loss_G: 0.012958 Loss_D_real: -0.022780 Loss_D_fake -0.002465
[1186/5000][445/535][122368] Loss_D: -0.021366 Loss_G: -0.008960 Loss_D_real: -0.017308 Loss_D_fake 0.004057
[1186/5000][450/535][122369] Loss_D: -0.021355 Loss_G: 0.020486 Loss_D_real: -0.022303 Loss_D_fake -0.000948
[1186/5000][455/535][122370] Loss_D: -0.020808 Loss_G: -0.008217 Loss_D_real: -0.004511 Loss_D_fake 0.016296
[1186/5000][460/535][122371] Loss_D: -0.018485 Loss_G: 0.022122 Loss_D_real: -0.035284 Loss_D_fake -0.016799
[1186/5000][465/535][122372] Loss_D: -0.021365 Loss_G: 0.007132 Loss_D_real: -0.011833 Loss_D_fake 0.009531
[1186/5000][470/535][122373] Loss_D: -0.019170 Loss_G: 0.012035 Loss_D_real: -0.014031 Loss_D_fake 0.005139
[1186/5000][475/535][122374] Loss_D: -0.021592 Loss_G: 0.006309 Loss_D_real: -0.020740 Loss_D_fake 0.000852
[1186/5000][480/535][122375] Loss_D: -0.020918 Loss_G: 0.018521 Loss_D_real: -0.026150 Loss_D_fake -0.005232
[1186/5000][485/535][122376] Loss_D: -0.020815 Loss_G: -0.001556 Loss_D_real: -0.012491 Loss_D_fake 0.008324
[1186/5000][490/535][122377] Loss_D: -0.018393 Loss_G: 0.021171 Loss_D_real: -0.037564 Loss_D_fake -0.019171
[1186/5000][495/535][122378] Loss_D: -0.021396 Loss_G: -0.010486 Loss_D_real: -0.024148 Loss_D_fake -0.002752
[1186/5000][500/535][122379] Loss_D: -0.019975 Loss_G: 0.007557 Loss_D_real: -0.023503 Loss_D_fake -0.003528
[1186/5000][505/535][122380] Loss_D: -0.020368 Loss_G: 0.000735 Loss_D_real: -0.017122 Loss_D_fake 0.003246
[1186/5000][510/535][122381] Loss_D: -0.021209 Loss_G: 0.007024 Loss_D_real: -0.017469 Loss_D_fake 0.003739
[1186/5000][515/535][122382] Loss_D: -0.020502 Loss_G: 0.011089 Loss_D_real: -0.004039 Loss_D_fake 0.016463
[1186/5000][520/535][122383] Loss_D: -0.020340 Loss_G: -0.006779 Loss_D_real: -0.017568 Loss_D_fake 0.002773
[1186/5000][525/535][122384] Loss_D: -0.019065 Loss_G: 0.034695 Loss_D_real: -0.035477 Loss_D_fake -0.016412
[1186/5000][530/535][122385] Loss_D: -0.020836 Loss_G: 0.012400 Loss_D_real: -0.030540 Loss_D_fake -0.009703
[1186/5000][535/535][122386] Loss_D: -0.024757 Loss_G: -0.001566 Loss_D_real: -0.018980 Loss_D_fake 0.005777
[1187/5000][5/535][122387] Loss_D: -0.020980 Loss_G: 0.010708 Loss_D_real: -0.009876 Loss_D_fake 0.011104
[1187/5000][10/535][122388] Loss_D: -0.020675 Loss_G: 0.008055 Loss_D_real: -0.012547 Loss_D_fake 0.008128
[1187/5000][15/535][122389] Loss_D: -0.021323 Loss_G: 0.023083 Loss_D_real: -0.024016 Loss_D_fake -0.002693
[1187/5000][20/535][122390] Loss_D: -0.021415 Loss_G: 0.019643 Loss_D_real: -0.019394 Loss_D_fake 0.002021
[1187/5000][25/535][122391] Loss_D: -0.022333 Loss_G: 0.013694 Loss_D_real: -0.014131 Loss_D_fake 0.008202
[1187/5000][30/535][122392] Loss_D: -0.019998 Loss_G: -0.011439 Loss_D_real: -0.013533 Loss_D_fake 0.006466
[1187/5000][35/535][122393] Loss_D: -0.021026 Loss_G: 0.009145 Loss_D_real: -0.013609 Loss_D_fake 0.007416
[1187/5000][40/535][122394] Loss_D: -0.021831 Loss_G: -0.003160 Loss_D_real: -0.014193 Loss_D_fake 0.007638
[1187/5000][45/535][122395] Loss_D: -0.020290 Loss_G: 0.023013 Loss_D_real: -0.030368 Loss_D_fake -0.010078
[1187/5000][50/535][122396] Loss_D: -0.020569 Loss_G: 0.011013 Loss_D_real: -0.008738 Loss_D_fake 0.011831
[1187/5000][55/535][122397] Loss_D: -0.019926 Loss_G: -0.005319 Loss_D_real: -0.007661 Loss_D_fake 0.012265
[1187/5000][60/535][122398] Loss_D: -0.022209 Loss_G: -0.016823 Loss_D_real: -0.013808 Loss_D_fake 0.008402
[1187/5000][65/535][122399] Loss_D: -0.020130 Loss_G: 0.004008 Loss_D_real: -0.014738 Loss_D_fake 0.005393
[1187/5000][70/535][122400] Loss_D: -0.020532 Loss_G: 0.003957 Loss_D_real: -0.005200 Loss_D_fake 0.015332
[1187/5000][75/535][122401] Loss_D: -0.019642 Loss_G: 0.027306 Loss_D_real: -0.023779 Loss_D_fake -0.004137
[1187/5000][80/535][122402] Loss_D: -0.019352 Loss_G: 0.016950 Loss_D_real: -0.023798 Loss_D_fake -0.004446
[1187/5000][85/535][122403] Loss_D: -0.019615 Loss_G: 0.018739 Loss_D_real: -0.034177 Loss_D_fake -0.014562
[1187/5000][90/535][122404] Loss_D: -0.020294 Loss_G: -0.000542 Loss_D_real: -0.017924 Loss_D_fake 0.002369
[1187/5000][95/535][122405] Loss_D: -0.020659 Loss_G: -0.014497 Loss_D_real: -0.004526 Loss_D_fake 0.016133
[1187/5000][100/535][122406] Loss_D: -0.019571 Loss_G: 0.014413 Loss_D_real: -0.030281 Loss_D_fake -0.010710
[1187/5000][105/535][122407] Loss_D: -0.019480 Loss_G: 0.022624 Loss_D_real: -0.022327 Loss_D_fake -0.002847
[1187/5000][110/535][122408] Loss_D: -0.018985 Loss_G: 0.027038 Loss_D_real: -0.032692 Loss_D_fake -0.013706
[1187/5000][115/535][122409] Loss_D: -0.019812 Loss_G: 0.001922 Loss_D_real: -0.023700 Loss_D_fake -0.003888
[1187/5000][120/535][122410] Loss_D: -0.020553 Loss_G: -0.004502 Loss_D_real: -0.018784 Loss_D_fake 0.001769
[1187/5000][125/535][122411] Loss_D: -0.020740 Loss_G: 0.011492 Loss_D_real: -0.015595 Loss_D_fake 0.005146
[1187/5000][130/535][122412] Loss_D: -0.021034 Loss_G: 0.014428 Loss_D_real: -0.021233 Loss_D_fake -0.000199
[1187/5000][135/535][122413] Loss_D: -0.019729 Loss_G: -0.006973 Loss_D_real: -0.010410 Loss_D_fake 0.009319
[1187/5000][140/535][122414] Loss_D: -0.020154 Loss_G: 0.018338 Loss_D_real: -0.014973 Loss_D_fake 0.005181
[1187/5000][145/535][122415] Loss_D: -0.020135 Loss_G: 0.008376 Loss_D_real: -0.017716 Loss_D_fake 0.002420
[1187/5000][150/535][122416] Loss_D: -0.021796 Loss_G: 0.008406 Loss_D_real: -0.011108 Loss_D_fake 0.010687
[1187/5000][155/535][122417] Loss_D: -0.022208 Loss_G: -0.003050 Loss_D_real: -0.018480 Loss_D_fake 0.003729
[1187/5000][160/535][122418] Loss_D: -0.019518 Loss_G: -0.007185 Loss_D_real: 0.009467 Loss_D_fake 0.028984
[1187/5000][165/535][122419] Loss_D: -0.018136 Loss_G: 0.025369 Loss_D_real: -0.020649 Loss_D_fake -0.002513
[1187/5000][170/535][122420] Loss_D: -0.021167 Loss_G: 0.009298 Loss_D_real: -0.015155 Loss_D_fake 0.006012
[1187/5000][175/535][122421] Loss_D: -0.021333 Loss_G: 0.000443 Loss_D_real: -0.015098 Loss_D_fake 0.006235
[1187/5000][180/535][122422] Loss_D: -0.021024 Loss_G: 0.016921 Loss_D_real: -0.019994 Loss_D_fake 0.001030
[1187/5000][185/535][122423] Loss_D: -0.019381 Loss_G: 0.000564 Loss_D_real: -0.015941 Loss_D_fake 0.003440
[1187/5000][190/535][122424] Loss_D: -0.021965 Loss_G: -0.006908 Loss_D_real: -0.010617 Loss_D_fake 0.011348
[1187/5000][195/535][122425] Loss_D: -0.019724 Loss_G: 0.006258 Loss_D_real: -0.016419 Loss_D_fake 0.003305
[1187/5000][200/535][122426] Loss_D: -0.020426 Loss_G: 0.016288 Loss_D_real: -0.024569 Loss_D_fake -0.004143
[1187/5000][205/535][122427] Loss_D: -0.018760 Loss_G: 0.017465 Loss_D_real: -0.031282 Loss_D_fake -0.012522
[1187/5000][210/535][122428] Loss_D: -0.019714 Loss_G: -0.010647 Loss_D_real: -0.000800 Loss_D_fake 0.018914
[1187/5000][215/535][122429] Loss_D: -0.020896 Loss_G: 0.007874 Loss_D_real: -0.012130 Loss_D_fake 0.008766
[1187/5000][220/535][122430] Loss_D: -0.020841 Loss_G: 0.015818 Loss_D_real: -0.025313 Loss_D_fake -0.004472
[1187/5000][225/535][122431] Loss_D: -0.020250 Loss_G: 0.023800 Loss_D_real: -0.020667 Loss_D_fake -0.000416
[1187/5000][230/535][122432] Loss_D: -0.020284 Loss_G: -0.002136 Loss_D_real: -0.003016 Loss_D_fake 0.017268
[1187/5000][235/535][122433] Loss_D: -0.020190 Loss_G: 0.012058 Loss_D_real: -0.031665 Loss_D_fake -0.011475
[1187/5000][240/535][122434] Loss_D: -0.020122 Loss_G: 0.020052 Loss_D_real: -0.041496 Loss_D_fake -0.021373
[1187/5000][245/535][122435] Loss_D: -0.021674 Loss_G: 0.011158 Loss_D_real: -0.026996 Loss_D_fake -0.005322
[1187/5000][250/535][122436] Loss_D: -0.020715 Loss_G: 0.027834 Loss_D_real: -0.039085 Loss_D_fake -0.018370
[1187/5000][255/535][122437] Loss_D: -0.021467 Loss_G: -0.003620 Loss_D_real: -0.007915 Loss_D_fake 0.013552
[1187/5000][260/535][122438] Loss_D: -0.021682 Loss_G: 0.005536 Loss_D_real: -0.017466 Loss_D_fake 0.004216
[1187/5000][265/535][122439] Loss_D: -0.019838 Loss_G: 0.016960 Loss_D_real: -0.016940 Loss_D_fake 0.002898
[1187/5000][270/535][122440] Loss_D: -0.021194 Loss_G: -0.004637 Loss_D_real: -0.013337 Loss_D_fake 0.007857
[1187/5000][275/535][122441] Loss_D: -0.020324 Loss_G: 0.007503 Loss_D_real: -0.025967 Loss_D_fake -0.005642
[1187/5000][280/535][122442] Loss_D: -0.020805 Loss_G: 0.000597 Loss_D_real: -0.018552 Loss_D_fake 0.002253
[1187/5000][285/535][122443] Loss_D: -0.020788 Loss_G: -0.007832 Loss_D_real: -0.012708 Loss_D_fake 0.008081
[1187/5000][290/535][122444] Loss_D: -0.018543 Loss_G: 0.020820 Loss_D_real: -0.032927 Loss_D_fake -0.014384
[1187/5000][295/535][122445] Loss_D: -0.020885 Loss_G: 0.017354 Loss_D_real: -0.015487 Loss_D_fake 0.005398
[1187/5000][300/535][122446] Loss_D: -0.020169 Loss_G: 0.003631 Loss_D_real: -0.017491 Loss_D_fake 0.002679
[1187/5000][305/535][122447] Loss_D: -0.019574 Loss_G: -0.012514 Loss_D_real: -0.007845 Loss_D_fake 0.011729
[1187/5000][310/535][122448] Loss_D: -0.019425 Loss_G: 0.020229 Loss_D_real: -0.029329 Loss_D_fake -0.009904
[1187/5000][315/535][122449] Loss_D: -0.019900 Loss_G: 0.035342 Loss_D_real: -0.021760 Loss_D_fake -0.001860
[1187/5000][320/535][122450] Loss_D: -0.020367 Loss_G: 0.008453 Loss_D_real: -0.019263 Loss_D_fake 0.001104
[1187/5000][325/535][122451] Loss_D: -0.021551 Loss_G: 0.005941 Loss_D_real: -0.003218 Loss_D_fake 0.018333
[1187/5000][330/535][122452] Loss_D: -0.022718 Loss_G: 0.012313 Loss_D_real: -0.028843 Loss_D_fake -0.006125
[1187/5000][335/535][122453] Loss_D: -0.022009 Loss_G: 0.014327 Loss_D_real: -0.024098 Loss_D_fake -0.002089
[1187/5000][340/535][122454] Loss_D: -0.021791 Loss_G: 0.008997 Loss_D_real: -0.022011 Loss_D_fake -0.000220
[1187/5000][345/535][122455] Loss_D: -0.021828 Loss_G: -0.001317 Loss_D_real: -0.014869 Loss_D_fake 0.006960
[1187/5000][350/535][122456] Loss_D: -0.020852 Loss_G: 0.008551 Loss_D_real: -0.023539 Loss_D_fake -0.002687
[1187/5000][355/535][122457] Loss_D: -0.021438 Loss_G: 0.000138 Loss_D_real: -0.005087 Loss_D_fake 0.016351
[1187/5000][360/535][122458] Loss_D: -0.020403 Loss_G: -0.007577 Loss_D_real: -0.012649 Loss_D_fake 0.007755
[1187/5000][365/535][122459] Loss_D: -0.020932 Loss_G: 0.008193 Loss_D_real: -0.005712 Loss_D_fake 0.015221
[1187/5000][370/535][122460] Loss_D: -0.020380 Loss_G: 0.004963 Loss_D_real: -0.017783 Loss_D_fake 0.002597
[1187/5000][375/535][122461] Loss_D: -0.020359 Loss_G: 0.017506 Loss_D_real: -0.019209 Loss_D_fake 0.001151
[1187/5000][380/535][122462] Loss_D: -0.021360 Loss_G: -0.005726 Loss_D_real: -0.008371 Loss_D_fake 0.012989
[1187/5000][385/535][122463] Loss_D: -0.018995 Loss_G: 0.031523 Loss_D_real: -0.025966 Loss_D_fake -0.006971
[1187/5000][390/535][122464] Loss_D: -0.020754 Loss_G: 0.000653 Loss_D_real: -0.029314 Loss_D_fake -0.008561
[1187/5000][395/535][122465] Loss_D: -0.021209 Loss_G: 0.015373 Loss_D_real: -0.018345 Loss_D_fake 0.002864
[1187/5000][400/535][122466] Loss_D: -0.020082 Loss_G: 0.019241 Loss_D_real: -0.014978 Loss_D_fake 0.005104
[1187/5000][405/535][122467] Loss_D: -0.018885 Loss_G: -0.017765 Loss_D_real: 0.000075 Loss_D_fake 0.018960
[1187/5000][410/535][122468] Loss_D: -0.019125 Loss_G: 0.019679 Loss_D_real: -0.025371 Loss_D_fake -0.006246
[1187/5000][415/535][122469] Loss_D: -0.019479 Loss_G: -0.005251 Loss_D_real: -0.008013 Loss_D_fake 0.011466
[1187/5000][420/535][122470] Loss_D: -0.020029 Loss_G: -0.003258 Loss_D_real: -0.013300 Loss_D_fake 0.006728
[1187/5000][425/535][122471] Loss_D: -0.018231 Loss_G: 0.024931 Loss_D_real: -0.022157 Loss_D_fake -0.003925
[1187/5000][430/535][122472] Loss_D: -0.019167 Loss_G: 0.025653 Loss_D_real: -0.022433 Loss_D_fake -0.003266
[1187/5000][435/535][122473] Loss_D: -0.019504 Loss_G: 0.003377 Loss_D_real: -0.025850 Loss_D_fake -0.006346
[1187/5000][440/535][122474] Loss_D: -0.020748 Loss_G: -0.000430 Loss_D_real: -0.015293 Loss_D_fake 0.005455
[1187/5000][445/535][122475] Loss_D: -0.019915 Loss_G: 0.013582 Loss_D_real: -0.025550 Loss_D_fake -0.005635
[1187/5000][450/535][122476] Loss_D: -0.019199 Loss_G: -0.008507 Loss_D_real: -0.001145 Loss_D_fake 0.018054
[1187/5000][455/535][122477] Loss_D: -0.020363 Loss_G: 0.003598 Loss_D_real: -0.006123 Loss_D_fake 0.014240
[1187/5000][460/535][122478] Loss_D: -0.020426 Loss_G: -0.000312 Loss_D_real: -0.003496 Loss_D_fake 0.016930
[1187/5000][465/535][122479] Loss_D: -0.019787 Loss_G: 0.008682 Loss_D_real: -0.019818 Loss_D_fake -0.000031
[1187/5000][470/535][122480] Loss_D: -0.019388 Loss_G: 0.011112 Loss_D_real: -0.021790 Loss_D_fake -0.002403
[1187/5000][475/535][122481] Loss_D: -0.020274 Loss_G: -0.002750 Loss_D_real: -0.012461 Loss_D_fake 0.007813
[1187/5000][480/535][122482] Loss_D: -0.019244 Loss_G: -0.006203 Loss_D_real: -0.020143 Loss_D_fake -0.000900
[1187/5000][485/535][122483] Loss_D: -0.019315 Loss_G: 0.012534 Loss_D_real: -0.029698 Loss_D_fake -0.010383
[1187/5000][490/535][122484] Loss_D: -0.020302 Loss_G: 0.014625 Loss_D_real: -0.017536 Loss_D_fake 0.002766
[1187/5000][495/535][122485] Loss_D: -0.019099 Loss_G: -0.017990 Loss_D_real: 0.000659 Loss_D_fake 0.019758
[1187/5000][500/535][122486] Loss_D: -0.019100 Loss_G: -0.000229 Loss_D_real: -0.018837 Loss_D_fake 0.000263
[1187/5000][505/535][122487] Loss_D: -0.020035 Loss_G: 0.026091 Loss_D_real: -0.034715 Loss_D_fake -0.014680
[1187/5000][510/535][122488] Loss_D: -0.020393 Loss_G: 0.004020 Loss_D_real: -0.012004 Loss_D_fake 0.008389
[1187/5000][515/535][122489] Loss_D: -0.020226 Loss_G: -0.009827 Loss_D_real: -0.005922 Loss_D_fake 0.014304
[1187/5000][520/535][122490] Loss_D: -0.019416 Loss_G: 0.005945 Loss_D_real: -0.011969 Loss_D_fake 0.007448
[1187/5000][525/535][122491] Loss_D: -0.020605 Loss_G: 0.019076 Loss_D_real: -0.026090 Loss_D_fake -0.005485
[1187/5000][530/535][122492] Loss_D: -0.020792 Loss_G: 0.011165 Loss_D_real: -0.022544 Loss_D_fake -0.001751
[1187/5000][535/535][122493] Loss_D: -0.019831 Loss_G: -0.007300 Loss_D_real: -0.021534 Loss_D_fake -0.001704
[1188/5000][5/535][122494] Loss_D: -0.021886 Loss_G: 0.004907 Loss_D_real: -0.020407 Loss_D_fake 0.001479
[1188/5000][10/535][122495] Loss_D: -0.021108 Loss_G: 0.023013 Loss_D_real: -0.022021 Loss_D_fake -0.000912
[1188/5000][15/535][122496] Loss_D: -0.021529 Loss_G: 0.010516 Loss_D_real: -0.015830 Loss_D_fake 0.005699
[1188/5000][20/535][122497] Loss_D: -0.020957 Loss_G: 0.020127 Loss_D_real: -0.016264 Loss_D_fake 0.004693
[1188/5000][25/535][122498] Loss_D: -0.020559 Loss_G: 0.013286 Loss_D_real: -0.020728 Loss_D_fake -0.000169
[1188/5000][30/535][122499] Loss_D: -0.020236 Loss_G: 0.029637 Loss_D_real: -0.032808 Loss_D_fake -0.012573
[1188/5000][35/535][122500] Loss_D: -0.020563 Loss_G: -0.007129 Loss_D_real: -0.011003 Loss_D_fake 0.009559
[1188/5000][135/535][122501] Loss_D: -0.023601 Loss_G: 0.004855 Loss_D_real: -0.006098 Loss_D_fake 0.017502
[1188/5000][140/535][122502] Loss_D: -0.022453 Loss_G: -0.001368 Loss_D_real: -0.016686 Loss_D_fake 0.005767
[1188/5000][145/535][122503] Loss_D: -0.020187 Loss_G: 0.001549 Loss_D_real: -0.010214 Loss_D_fake 0.009973
[1188/5000][150/535][122504] Loss_D: -0.019056 Loss_G: -0.013491 Loss_D_real: 0.008202 Loss_D_fake 0.027257
[1188/5000][155/535][122505] Loss_D: -0.020107 Loss_G: 0.023523 Loss_D_real: -0.025897 Loss_D_fake -0.005790
[1188/5000][160/535][122506] Loss_D: -0.020626 Loss_G: 0.006445 Loss_D_real: -0.013963 Loss_D_fake 0.006663
[1188/5000][165/535][122507] Loss_D: -0.019552 Loss_G: -0.000756 Loss_D_real: -0.012237 Loss_D_fake 0.007315
[1188/5000][170/535][122508] Loss_D: -0.020255 Loss_G: -0.001422 Loss_D_real: -0.032580 Loss_D_fake -0.012325
[1188/5000][175/535][122509] Loss_D: -0.019575 Loss_G: 0.010098 Loss_D_real: -0.027827 Loss_D_fake -0.008252
[1188/5000][180/535][122510] Loss_D: -0.019865 Loss_G: -0.007106 Loss_D_real: -0.018246 Loss_D_fake 0.001619
[1188/5000][185/535][122511] Loss_D: -0.020664 Loss_G: -0.003683 Loss_D_real: -0.006245 Loss_D_fake 0.014418
[1188/5000][190/535][122512] Loss_D: -0.019694 Loss_G: 0.000491 Loss_D_real: -0.008270 Loss_D_fake 0.011423
[1188/5000][195/535][122513] Loss_D: -0.020064 Loss_G: 0.003281 Loss_D_real: -0.004762 Loss_D_fake 0.015302
[1188/5000][200/535][122514] Loss_D: -0.021723 Loss_G: 0.007098 Loss_D_real: -0.013329 Loss_D_fake 0.008394
[1188/5000][205/535][122515] Loss_D: -0.019183 Loss_G: 0.022139 Loss_D_real: -0.030854 Loss_D_fake -0.011672
[1188/5000][210/535][122516] Loss_D: -0.020990 Loss_G: 0.009191 Loss_D_real: -0.022617 Loss_D_fake -0.001627
[1188/5000][215/535][122517] Loss_D: -0.022568 Loss_G: 0.008100 Loss_D_real: -0.019680 Loss_D_fake 0.002888
[1188/5000][220/535][122518] Loss_D: -0.021854 Loss_G: 0.004342 Loss_D_real: -0.010860 Loss_D_fake 0.010995
[1188/5000][225/535][122519] Loss_D: -0.019606 Loss_G: -0.021214 Loss_D_real: 0.000605 Loss_D_fake 0.020211
[1188/5000][230/535][122520] Loss_D: -0.020352 Loss_G: 0.017684 Loss_D_real: -0.017825 Loss_D_fake 0.002527
[1188/5000][235/535][122521] Loss_D: -0.022542 Loss_G: 0.000650 Loss_D_real: -0.015626 Loss_D_fake 0.006916
[1188/5000][240/535][122522] Loss_D: -0.021840 Loss_G: 0.000403 Loss_D_real: -0.023678 Loss_D_fake -0.001838
[1188/5000][245/535][122523] Loss_D: -0.020611 Loss_G: -0.001142 Loss_D_real: -0.008651 Loss_D_fake 0.011960
[1188/5000][250/535][122524] Loss_D: -0.021065 Loss_G: 0.013986 Loss_D_real: -0.012180 Loss_D_fake 0.008885
[1188/5000][255/535][122525] Loss_D: -0.020388 Loss_G: -0.016305 Loss_D_real: -0.005233 Loss_D_fake 0.015155
[1188/5000][260/535][122526] Loss_D: -0.019383 Loss_G: 0.006038 Loss_D_real: -0.021668 Loss_D_fake -0.002285
[1188/5000][265/535][122527] Loss_D: -0.018682 Loss_G: -0.018444 Loss_D_real: 0.001255 Loss_D_fake 0.019938
[1188/5000][270/535][122528] Loss_D: -0.019200 Loss_G: 0.000814 Loss_D_real: -0.020099 Loss_D_fake -0.000900
[1188/5000][275/535][122529] Loss_D: -0.019810 Loss_G: -0.003467 Loss_D_real: -0.004847 Loss_D_fake 0.014963
[1188/5000][280/535][122530] Loss_D: -0.019455 Loss_G: 0.005460 Loss_D_real: -0.032691 Loss_D_fake -0.013236
[1188/5000][285/535][122531] Loss_D: -0.018146 Loss_G: 0.009468 Loss_D_real: -0.021558 Loss_D_fake -0.003412
[1188/5000][290/535][122532] Loss_D: -0.021244 Loss_G: 0.012197 Loss_D_real: -0.011733 Loss_D_fake 0.009512
[1188/5000][295/535][122533] Loss_D: -0.021063 Loss_G: -0.000202 Loss_D_real: -0.010130 Loss_D_fake 0.010933
[1188/5000][300/535][122534] Loss_D: -0.020818 Loss_G: 0.013754 Loss_D_real: -0.018945 Loss_D_fake 0.001874
[1188/5000][305/535][122535] Loss_D: -0.020121 Loss_G: 0.029929 Loss_D_real: -0.035491 Loss_D_fake -0.015370
[1188/5000][310/535][122536] Loss_D: -0.020264 Loss_G: 0.011564 Loss_D_real: -0.013746 Loss_D_fake 0.006518
[1188/5000][315/535][122537] Loss_D: -0.020301 Loss_G: 0.007927 Loss_D_real: -0.018248 Loss_D_fake 0.002052
[1188/5000][320/535][122538] Loss_D: -0.020306 Loss_G: 0.011327 Loss_D_real: -0.015095 Loss_D_fake 0.005211
[1188/5000][325/535][122539] Loss_D: -0.019270 Loss_G: -0.016341 Loss_D_real: -0.008527 Loss_D_fake 0.010743
[1188/5000][330/535][122540] Loss_D: -0.021273 Loss_G: 0.007486 Loss_D_real: -0.034808 Loss_D_fake -0.013535
[1188/5000][335/535][122541] Loss_D: -0.020664 Loss_G: 0.015570 Loss_D_real: -0.030689 Loss_D_fake -0.010025
[1188/5000][340/535][122542] Loss_D: -0.019459 Loss_G: 0.025002 Loss_D_real: -0.029338 Loss_D_fake -0.009879
[1188/5000][345/535][122543] Loss_D: -0.020145 Loss_G: 0.022007 Loss_D_real: -0.023559 Loss_D_fake -0.003414
[1188/5000][350/535][122544] Loss_D: -0.020543 Loss_G: 0.016111 Loss_D_real: -0.027966 Loss_D_fake -0.007423
[1188/5000][355/535][122545] Loss_D: -0.021676 Loss_G: 0.001605 Loss_D_real: -0.015751 Loss_D_fake 0.005926
[1188/5000][360/535][122546] Loss_D: -0.018643 Loss_G: 0.015760 Loss_D_real: -0.016067 Loss_D_fake 0.002576
[1188/5000][365/535][122547] Loss_D: -0.022305 Loss_G: -0.007722 Loss_D_real: -0.007929 Loss_D_fake 0.014376
[1188/5000][370/535][122548] Loss_D: -0.020789 Loss_G: 0.007330 Loss_D_real: -0.008738 Loss_D_fake 0.012051
[1188/5000][375/535][122549] Loss_D: -0.019531 Loss_G: 0.010962 Loss_D_real: -0.040967 Loss_D_fake -0.021435
[1188/5000][380/535][122550] Loss_D: -0.021002 Loss_G: 0.021509 Loss_D_real: -0.018497 Loss_D_fake 0.002505
[1188/5000][385/535][122551] Loss_D: -0.020552 Loss_G: -0.012896 Loss_D_real: -0.013880 Loss_D_fake 0.006672
[1188/5000][390/535][122552] Loss_D: -0.021587 Loss_G: 0.016490 Loss_D_real: -0.015334 Loss_D_fake 0.006252
[1188/5000][395/535][122553] Loss_D: -0.021106 Loss_G: -0.008430 Loss_D_real: -0.012216 Loss_D_fake 0.008890
[1188/5000][400/535][122554] Loss_D: -0.020625 Loss_G: 0.011389 Loss_D_real: -0.016203 Loss_D_fake 0.004423
[1188/5000][405/535][122555] Loss_D: -0.022378 Loss_G: 0.013667 Loss_D_real: -0.013863 Loss_D_fake 0.008515
[1188/5000][410/535][122556] Loss_D: -0.020049 Loss_G: 0.015222 Loss_D_real: -0.016918 Loss_D_fake 0.003131
[1188/5000][415/535][122557] Loss_D: -0.019464 Loss_G: 0.012851 Loss_D_real: -0.024096 Loss_D_fake -0.004633
[1188/5000][420/535][122558] Loss_D: -0.020046 Loss_G: 0.010098 Loss_D_real: -0.017152 Loss_D_fake 0.002894
[1188/5000][425/535][122559] Loss_D: -0.019663 Loss_G: 0.014457 Loss_D_real: -0.031881 Loss_D_fake -0.012218
[1188/5000][430/535][122560] Loss_D: -0.020184 Loss_G: 0.006659 Loss_D_real: -0.017238 Loss_D_fake 0.002946
[1188/5000][435/535][122561] Loss_D: -0.020643 Loss_G: 0.003325 Loss_D_real: -0.009445 Loss_D_fake 0.011198
[1188/5000][440/535][122562] Loss_D: -0.019466 Loss_G: -0.018865 Loss_D_real: 0.006683 Loss_D_fake 0.026149
[1188/5000][445/535][122563] Loss_D: -0.021554 Loss_G: 0.014387 Loss_D_real: -0.011578 Loss_D_fake 0.009975
[1188/5000][450/535][122564] Loss_D: -0.020049 Loss_G: -0.004212 Loss_D_real: -0.015565 Loss_D_fake 0.004483
[1188/5000][455/535][122565] Loss_D: -0.020055 Loss_G: 0.020106 Loss_D_real: -0.036140 Loss_D_fake -0.016085
[1188/5000][460/535][122566] Loss_D: -0.019950 Loss_G: 0.009386 Loss_D_real: -0.030291 Loss_D_fake -0.010341
[1188/5000][465/535][122567] Loss_D: -0.020234 Loss_G: -0.000612 Loss_D_real: -0.005200 Loss_D_fake 0.015033
[1188/5000][470/535][122568] Loss_D: -0.019956 Loss_G: 0.009496 Loss_D_real: -0.022748 Loss_D_fake -0.002791
[1188/5000][475/535][122569] Loss_D: -0.021355 Loss_G: 0.005294 Loss_D_real: -0.013909 Loss_D_fake 0.007446
[1188/5000][480/535][122570] Loss_D: -0.019212 Loss_G: -0.011626 Loss_D_real: 0.001858 Loss_D_fake 0.021069
[1188/5000][485/535][122571] Loss_D: -0.020641 Loss_G: 0.012655 Loss_D_real: -0.017138 Loss_D_fake 0.003503
[1188/5000][490/535][122572] Loss_D: -0.019154 Loss_G: -0.014449 Loss_D_real: -0.010633 Loss_D_fake 0.008521
[1188/5000][495/535][122573] Loss_D: -0.018762 Loss_G: 0.024664 Loss_D_real: -0.024665 Loss_D_fake -0.005903
[1188/5000][500/535][122574] Loss_D: -0.019853 Loss_G: -0.004968 Loss_D_real: -0.010242 Loss_D_fake 0.009612
[1188/5000][505/535][122575] Loss_D: -0.020221 Loss_G: 0.005586 Loss_D_real: -0.025778 Loss_D_fake -0.005557
[1188/5000][510/535][122576] Loss_D: -0.020418 Loss_G: 0.005073 Loss_D_real: -0.006528 Loss_D_fake 0.013890
[1188/5000][515/535][122577] Loss_D: -0.021194 Loss_G: -0.001361 Loss_D_real: -0.012458 Loss_D_fake 0.008736
[1188/5000][520/535][122578] Loss_D: -0.020084 Loss_G: 0.020939 Loss_D_real: -0.028426 Loss_D_fake -0.008342
[1188/5000][525/535][122579] Loss_D: -0.019806 Loss_G: -0.004179 Loss_D_real: -0.013406 Loss_D_fake 0.006400
[1188/5000][530/535][122580] Loss_D: -0.020212 Loss_G: 0.006769 Loss_D_real: -0.010173 Loss_D_fake 0.010039
[1188/5000][535/535][122581] Loss_D: -0.019671 Loss_G: 0.002551 Loss_D_real: -0.014188 Loss_D_fake 0.005483
[1189/5000][5/535][122582] Loss_D: -0.023346 Loss_G: 0.012359 Loss_D_real: -0.016448 Loss_D_fake 0.006899
[1189/5000][10/535][122583] Loss_D: -0.020312 Loss_G: -0.001255 Loss_D_real: -0.007406 Loss_D_fake 0.012906
[1189/5000][15/535][122584] Loss_D: -0.020069 Loss_G: 0.000315 Loss_D_real: -0.008483 Loss_D_fake 0.011586
[1189/5000][20/535][122585] Loss_D: -0.020579 Loss_G: 0.008535 Loss_D_real: -0.019579 Loss_D_fake 0.001000
[1189/5000][25/535][122586] Loss_D: -0.020191 Loss_G: 0.020834 Loss_D_real: -0.022173 Loss_D_fake -0.001982
[1189/5000][30/535][122587] Loss_D: -0.020152 Loss_G: -0.002931 Loss_D_real: -0.014137 Loss_D_fake 0.006015
[1189/5000][35/535][122588] Loss_D: -0.019741 Loss_G: 0.002142 Loss_D_real: -0.018644 Loss_D_fake 0.001096
[1189/5000][40/535][122589] Loss_D: -0.020046 Loss_G: 0.019081 Loss_D_real: -0.032424 Loss_D_fake -0.012378
[1189/5000][45/535][122590] Loss_D: -0.019871 Loss_G: 0.013509 Loss_D_real: -0.023157 Loss_D_fake -0.003287
[1189/5000][50/535][122591] Loss_D: -0.021571 Loss_G: -0.023490 Loss_D_real: -0.008273 Loss_D_fake 0.013298
[1189/5000][55/535][122592] Loss_D: -0.021419 Loss_G: 0.005628 Loss_D_real: -0.018899 Loss_D_fake 0.002520
[1189/5000][60/535][122593] Loss_D: -0.019225 Loss_G: -0.002302 Loss_D_real: 0.003278 Loss_D_fake 0.022503
[1189/5000][65/535][122594] Loss_D: -0.020994 Loss_G: 0.015093 Loss_D_real: -0.013565 Loss_D_fake 0.007429
[1189/5000][70/535][122595] Loss_D: -0.020994 Loss_G: 0.019094 Loss_D_real: -0.021575 Loss_D_fake -0.000581
[1189/5000][75/535][122596] Loss_D: -0.020518 Loss_G: -0.011360 Loss_D_real: -0.006202 Loss_D_fake 0.014317
[1189/5000][80/535][122597] Loss_D: -0.019952 Loss_G: -0.005826 Loss_D_real: -0.008001 Loss_D_fake 0.011951
[1189/5000][85/535][122598] Loss_D: -0.020513 Loss_G: -0.001197 Loss_D_real: -0.010359 Loss_D_fake 0.010155
[1189/5000][90/535][122599] Loss_D: -0.021109 Loss_G: -0.005654 Loss_D_real: -0.009034 Loss_D_fake 0.012076
[1189/5000][95/535][122600] Loss_D: -0.019392 Loss_G: 0.025311 Loss_D_real: -0.029345 Loss_D_fake -0.009953
[1189/5000][100/535][122601] Loss_D: -0.020854 Loss_G: 0.004161 Loss_D_real: -0.022107 Loss_D_fake -0.001254
[1189/5000][105/535][122602] Loss_D: -0.020148 Loss_G: -0.012014 Loss_D_real: 0.000909 Loss_D_fake 0.021057
[1189/5000][110/535][122603] Loss_D: -0.020928 Loss_G: 0.012488 Loss_D_real: -0.019870 Loss_D_fake 0.001058
[1189/5000][115/535][122604] Loss_D: -0.021725 Loss_G: 0.004245 Loss_D_real: -0.014521 Loss_D_fake 0.007204
[1189/5000][120/535][122605] Loss_D: -0.022899 Loss_G: 0.006146 Loss_D_real: -0.015072 Loss_D_fake 0.007827
[1189/5000][125/535][122606] Loss_D: -0.021471 Loss_G: 0.007076 Loss_D_real: -0.014465 Loss_D_fake 0.007006
[1189/5000][130/535][122607] Loss_D: -0.019406 Loss_G: 0.024254 Loss_D_real: -0.037967 Loss_D_fake -0.018561
[1189/5000][135/535][122608] Loss_D: -0.021964 Loss_G: 0.011614 Loss_D_real: -0.026082 Loss_D_fake -0.004118
[1189/5000][140/535][122609] Loss_D: -0.020103 Loss_G: -0.022351 Loss_D_real: 0.003148 Loss_D_fake 0.023251
[1189/5000][145/535][122610] Loss_D: -0.020304 Loss_G: -0.005091 Loss_D_real: -0.006472 Loss_D_fake 0.013832
[1189/5000][150/535][122611] Loss_D: -0.019913 Loss_G: 0.014052 Loss_D_real: -0.014080 Loss_D_fake 0.005833
[1189/5000][155/535][122612] Loss_D: -0.019773 Loss_G: -0.009575 Loss_D_real: -0.006316 Loss_D_fake 0.013457
[1189/5000][160/535][122613] Loss_D: -0.020740 Loss_G: 0.022420 Loss_D_real: -0.035881 Loss_D_fake -0.015141
[1189/5000][165/535][122614] Loss_D: -0.020901 Loss_G: 0.015250 Loss_D_real: -0.022719 Loss_D_fake -0.001819
[1189/5000][170/535][122615] Loss_D: -0.020865 Loss_G: 0.013002 Loss_D_real: -0.014539 Loss_D_fake 0.006325
[1189/5000][175/535][122616] Loss_D: -0.021387 Loss_G: 0.008338 Loss_D_real: -0.016813 Loss_D_fake 0.004574
[1189/5000][180/535][122617] Loss_D: -0.019237 Loss_G: 0.009916 Loss_D_real: -0.031373 Loss_D_fake -0.012136
[1189/5000][185/535][122618] Loss_D: -0.020664 Loss_G: 0.000889 Loss_D_real: -0.019659 Loss_D_fake 0.001005
[1189/5000][190/535][122619] Loss_D: -0.019092 Loss_G: -0.000819 Loss_D_real: -0.015734 Loss_D_fake 0.003358
[1189/5000][195/535][122620] Loss_D: -0.020785 Loss_G: -0.009442 Loss_D_real: -0.007370 Loss_D_fake 0.013415
[1189/5000][200/535][122621] Loss_D: -0.020582 Loss_G: 0.009230 Loss_D_real: -0.012890 Loss_D_fake 0.007691
[1189/5000][205/535][122622] Loss_D: -0.020525 Loss_G: 0.005646 Loss_D_real: -0.012803 Loss_D_fake 0.007722
[1189/5000][210/535][122623] Loss_D: -0.020043 Loss_G: 0.019851 Loss_D_real: -0.027594 Loss_D_fake -0.007552
[1189/5000][215/535][122624] Loss_D: -0.020467 Loss_G: -0.016713 Loss_D_real: -0.004297 Loss_D_fake 0.016170
[1189/5000][220/535][122625] Loss_D: -0.020401 Loss_G: 0.013525 Loss_D_real: -0.029335 Loss_D_fake -0.008934
[1189/5000][225/535][122626] Loss_D: -0.019590 Loss_G: -0.002108 Loss_D_real: -0.009342 Loss_D_fake 0.010248
[1189/5000][230/535][122627] Loss_D: -0.019774 Loss_G: 0.022918 Loss_D_real: -0.026909 Loss_D_fake -0.007135
[1189/5000][235/535][122628] Loss_D: -0.020307 Loss_G: 0.012240 Loss_D_real: -0.034220 Loss_D_fake -0.013913
[1189/5000][240/535][122629] Loss_D: -0.021768 Loss_G: 0.009332 Loss_D_real: -0.021311 Loss_D_fake 0.000457
[1189/5000][245/535][122630] Loss_D: -0.019232 Loss_G: 0.015576 Loss_D_real: -0.031368 Loss_D_fake -0.012136
[1189/5000][250/535][122631] Loss_D: -0.020768 Loss_G: 0.012656 Loss_D_real: -0.015576 Loss_D_fake 0.005192
[1189/5000][255/535][122632] Loss_D: -0.020702 Loss_G: -0.015544 Loss_D_real: -0.003547 Loss_D_fake 0.017155
[1189/5000][260/535][122633] Loss_D: -0.019545 Loss_G: 0.011801 Loss_D_real: -0.027876 Loss_D_fake -0.008331
[1189/5000][265/535][122634] Loss_D: -0.020670 Loss_G: 0.016306 Loss_D_real: -0.016715 Loss_D_fake 0.003955
[1189/5000][270/535][122635] Loss_D: -0.019669 Loss_G: 0.011894 Loss_D_real: -0.022254 Loss_D_fake -0.002585
[1189/5000][275/535][122636] Loss_D: -0.022449 Loss_G: 0.021151 Loss_D_real: -0.026902 Loss_D_fake -0.004453
[1189/5000][280/535][122637] Loss_D: -0.018231 Loss_G: -0.016354 Loss_D_real: 0.007212 Loss_D_fake 0.025444
[1189/5000][285/535][122638] Loss_D: -0.020968 Loss_G: 0.006336 Loss_D_real: -0.022808 Loss_D_fake -0.001841
[1189/5000][290/535][122639] Loss_D: -0.019904 Loss_G: 0.003997 Loss_D_real: -0.023801 Loss_D_fake -0.003897
[1189/5000][295/535][122640] Loss_D: -0.019236 Loss_G: 0.020991 Loss_D_real: -0.029744 Loss_D_fake -0.010508
[1189/5000][300/535][122641] Loss_D: -0.019332 Loss_G: 0.002678 Loss_D_real: -0.026187 Loss_D_fake -0.006855
[1189/5000][305/535][122642] Loss_D: -0.019634 Loss_G: 0.021301 Loss_D_real: -0.030330 Loss_D_fake -0.010696
[1189/5000][310/535][122643] Loss_D: -0.019869 Loss_G: 0.024302 Loss_D_real: -0.027660 Loss_D_fake -0.007791
[1189/5000][315/535][122644] Loss_D: -0.021545 Loss_G: 0.005277 Loss_D_real: -0.010595 Loss_D_fake 0.010949
[1189/5000][320/535][122645] Loss_D: -0.020719 Loss_G: 0.003732 Loss_D_real: -0.032212 Loss_D_fake -0.011493
[1189/5000][325/535][122646] Loss_D: -0.020090 Loss_G: 0.009123 Loss_D_real: -0.028864 Loss_D_fake -0.008774
[1189/5000][330/535][122647] Loss_D: -0.019999 Loss_G: 0.011990 Loss_D_real: -0.020543 Loss_D_fake -0.000543
[1189/5000][335/535][122648] Loss_D: -0.017455 Loss_G: 0.018289 Loss_D_real: -0.038070 Loss_D_fake -0.020615
[1189/5000][340/535][122649] Loss_D: -0.020611 Loss_G: -0.004740 Loss_D_real: -0.013925 Loss_D_fake 0.006686
[1189/5000][345/535][122650] Loss_D: -0.021091 Loss_G: 0.011738 Loss_D_real: -0.030931 Loss_D_fake -0.009840
[1189/5000][350/535][122651] Loss_D: -0.021521 Loss_G: -0.002132 Loss_D_real: -0.011635 Loss_D_fake 0.009886
[1189/5000][355/535][122652] Loss_D: -0.019810 Loss_G: 0.031352 Loss_D_real: -0.027205 Loss_D_fake -0.007395
[1189/5000][360/535][122653] Loss_D: -0.021215 Loss_G: 0.000087 Loss_D_real: -0.025966 Loss_D_fake -0.004751
[1189/5000][365/535][122654] Loss_D: -0.021170 Loss_G: 0.007142 Loss_D_real: -0.025841 Loss_D_fake -0.004671
[1189/5000][370/535][122655] Loss_D: -0.021049 Loss_G: 0.010737 Loss_D_real: -0.018161 Loss_D_fake 0.002888
[1189/5000][375/535][122656] Loss_D: -0.019999 Loss_G: 0.007292 Loss_D_real: -0.025938 Loss_D_fake -0.005939
[1189/5000][380/535][122657] Loss_D: -0.020735 Loss_G: 0.013416 Loss_D_real: -0.015453 Loss_D_fake 0.005282
[1189/5000][385/535][122658] Loss_D: -0.020851 Loss_G: 0.019818 Loss_D_real: -0.031157 Loss_D_fake -0.010305
[1189/5000][390/535][122659] Loss_D: -0.021143 Loss_G: 0.011622 Loss_D_real: 0.002682 Loss_D_fake 0.023825
[1189/5000][395/535][122660] Loss_D: -0.020800 Loss_G: 0.008650 Loss_D_real: -0.016169 Loss_D_fake 0.004631
[1189/5000][400/535][122661] Loss_D: -0.021369 Loss_G: -0.015996 Loss_D_real: -0.003031 Loss_D_fake 0.018338
[1189/5000][405/535][122662] Loss_D: -0.021061 Loss_G: 0.003824 Loss_D_real: -0.025709 Loss_D_fake -0.004648
[1189/5000][410/535][122663] Loss_D: -0.020851 Loss_G: 0.020601 Loss_D_real: -0.019574 Loss_D_fake 0.001277
[1189/5000][415/535][122664] Loss_D: -0.020496 Loss_G: 0.018492 Loss_D_real: -0.033434 Loss_D_fake -0.012939
[1189/5000][420/535][122665] Loss_D: -0.022014 Loss_G: 0.003987 Loss_D_real: -0.012825 Loss_D_fake 0.009189
[1189/5000][425/535][122666] Loss_D: -0.017904 Loss_G: 0.033352 Loss_D_real: -0.034718 Loss_D_fake -0.016814
[1189/5000][430/535][122667] Loss_D: -0.019494 Loss_G: 0.012368 Loss_D_real: -0.020604 Loss_D_fake -0.001111
[1189/5000][435/535][122668] Loss_D: -0.022047 Loss_G: 0.009825 Loss_D_real: -0.024992 Loss_D_fake -0.002945
[1189/5000][440/535][122669] Loss_D: -0.020977 Loss_G: -0.008955 Loss_D_real: -0.007582 Loss_D_fake 0.013395
[1189/5000][445/535][122670] Loss_D: -0.021448 Loss_G: 0.008068 Loss_D_real: -0.023713 Loss_D_fake -0.002265
[1189/5000][450/535][122671] Loss_D: -0.020926 Loss_G: -0.004123 Loss_D_real: -0.004415 Loss_D_fake 0.016511
[1189/5000][455/535][122672] Loss_D: -0.020140 Loss_G: -0.000255 Loss_D_real: -0.010680 Loss_D_fake 0.009461
[1189/5000][460/535][122673] Loss_D: -0.020232 Loss_G: 0.015032 Loss_D_real: -0.010348 Loss_D_fake 0.009884
[1189/5000][465/535][122674] Loss_D: -0.020270 Loss_G: 0.005735 Loss_D_real: -0.021622 Loss_D_fake -0.001352
[1189/5000][470/535][122675] Loss_D: -0.018908 Loss_G: 0.015955 Loss_D_real: -0.034492 Loss_D_fake -0.015585
[1189/5000][475/535][122676] Loss_D: -0.020102 Loss_G: 0.003389 Loss_D_real: -0.015206 Loss_D_fake 0.004897
[1189/5000][480/535][122677] Loss_D: -0.019843 Loss_G: 0.009835 Loss_D_real: -0.020782 Loss_D_fake -0.000939
[1189/5000][485/535][122678] Loss_D: -0.019657 Loss_G: -0.015042 Loss_D_real: -0.011914 Loss_D_fake 0.007743
[1189/5000][490/535][122679] Loss_D: -0.021391 Loss_G: 0.015129 Loss_D_real: -0.015936 Loss_D_fake 0.005455
[1189/5000][495/535][122680] Loss_D: -0.020071 Loss_G: 0.003594 Loss_D_real: -0.014276 Loss_D_fake 0.005795
[1189/5000][500/535][122681] Loss_D: -0.020974 Loss_G: -0.008175 Loss_D_real: -0.006723 Loss_D_fake 0.014250
[1189/5000][505/535][122682] Loss_D: -0.020158 Loss_G: 0.020438 Loss_D_real: -0.023076 Loss_D_fake -0.002918
[1189/5000][510/535][122683] Loss_D: -0.021759 Loss_G: 0.000979 Loss_D_real: -0.020686 Loss_D_fake 0.001072
[1189/5000][515/535][122684] Loss_D: -0.021370 Loss_G: 0.011308 Loss_D_real: -0.013870 Loss_D_fake 0.007500
[1189/5000][520/535][122685] Loss_D: -0.019496 Loss_G: -0.015551 Loss_D_real: 0.002660 Loss_D_fake 0.022157
[1189/5000][525/535][122686] Loss_D: -0.019008 Loss_G: 0.015082 Loss_D_real: -0.028255 Loss_D_fake -0.009247
[1189/5000][530/535][122687] Loss_D: -0.018732 Loss_G: -0.006686 Loss_D_real: -0.010678 Loss_D_fake 0.008054
[1189/5000][535/535][122688] Loss_D: -0.022392 Loss_G: 0.006168 Loss_D_real: -0.014247 Loss_D_fake 0.008145
[1190/5000][5/535][122689] Loss_D: -0.019919 Loss_G: 0.004926 Loss_D_real: -0.017336 Loss_D_fake 0.002583
[1190/5000][10/535][122690] Loss_D: -0.019474 Loss_G: 0.017809 Loss_D_real: -0.020695 Loss_D_fake -0.001221
[1190/5000][15/535][122691] Loss_D: -0.020516 Loss_G: 0.010667 Loss_D_real: -0.019850 Loss_D_fake 0.000667
[1190/5000][20/535][122692] Loss_D: -0.020021 Loss_G: 0.012255 Loss_D_real: -0.028345 Loss_D_fake -0.008324
[1190/5000][25/535][122693] Loss_D: -0.020499 Loss_G: 0.014308 Loss_D_real: -0.007925 Loss_D_fake 0.012574
[1190/5000][30/535][122694] Loss_D: -0.021173 Loss_G: -0.009123 Loss_D_real: -0.009026 Loss_D_fake 0.012147
[1190/5000][35/535][122695] Loss_D: -0.021099 Loss_G: -0.002618 Loss_D_real: -0.005558 Loss_D_fake 0.015541
[1190/5000][40/535][122696] Loss_D: -0.019984 Loss_G: 0.007644 Loss_D_real: -0.012524 Loss_D_fake 0.007460
[1190/5000][45/535][122697] Loss_D: -0.021316 Loss_G: 0.012680 Loss_D_real: -0.012730 Loss_D_fake 0.008587
[1190/5000][50/535][122698] Loss_D: -0.020983 Loss_G: 0.003460 Loss_D_real: -0.010972 Loss_D_fake 0.010011
[1190/5000][55/535][122699] Loss_D: -0.019415 Loss_G: 0.002422 Loss_D_real: -0.019682 Loss_D_fake -0.000267
[1190/5000][60/535][122700] Loss_D: -0.020252 Loss_G: -0.007728 Loss_D_real: -0.004287 Loss_D_fake 0.015965
[1190/5000][65/535][122701] Loss_D: -0.019825 Loss_G: 0.003951 Loss_D_real: -0.015363 Loss_D_fake 0.004462
[1190/5000][70/535][122702] Loss_D: -0.020373 Loss_G: -0.001446 Loss_D_real: -0.019482 Loss_D_fake 0.000892
[1190/5000][75/535][122703] Loss_D: -0.019280 Loss_G: 0.026658 Loss_D_real: -0.031603 Loss_D_fake -0.012322
[1190/5000][80/535][122704] Loss_D: -0.020427 Loss_G: 0.001398 Loss_D_real: -0.024835 Loss_D_fake -0.004408
[1190/5000][85/535][122705] Loss_D: -0.020312 Loss_G: 0.023332 Loss_D_real: -0.030854 Loss_D_fake -0.010542
[1190/5000][90/535][122706] Loss_D: -0.021236 Loss_G: 0.012773 Loss_D_real: -0.021820 Loss_D_fake -0.000584
[1190/5000][95/535][122707] Loss_D: -0.020635 Loss_G: 0.002713 Loss_D_real: -0.014066 Loss_D_fake 0.006568
[1190/5000][100/535][122708] Loss_D: -0.021097 Loss_G: 0.023219 Loss_D_real: -0.024507 Loss_D_fake -0.003411
[1190/5000][105/535][122709] Loss_D: -0.019748 Loss_G: 0.016649 Loss_D_real: -0.019287 Loss_D_fake 0.000461
[1190/5000][110/535][122710] Loss_D: -0.019831 Loss_G: 0.008261 Loss_D_real: -0.022627 Loss_D_fake -0.002796
[1190/5000][115/535][122711] Loss_D: -0.021569 Loss_G: 0.003372 Loss_D_real: -0.016474 Loss_D_fake 0.005095
[1190/5000][120/535][122712] Loss_D: -0.021365 Loss_G: 0.012722 Loss_D_real: -0.017929 Loss_D_fake 0.003436
[1190/5000][125/535][122713] Loss_D: -0.020361 Loss_G: 0.006165 Loss_D_real: -0.024599 Loss_D_fake -0.004238
[1190/5000][130/535][122714] Loss_D: -0.021064 Loss_G: 0.020583 Loss_D_real: -0.021840 Loss_D_fake -0.000776
[1190/5000][135/535][122715] Loss_D: -0.019718 Loss_G: 0.021485 Loss_D_real: -0.026225 Loss_D_fake -0.006507
[1190/5000][140/535][122716] Loss_D: -0.020568 Loss_G: 0.014534 Loss_D_real: -0.032692 Loss_D_fake -0.012124
[1190/5000][145/535][122717] Loss_D: -0.020987 Loss_G: -0.000538 Loss_D_real: -0.008709 Loss_D_fake 0.012278
[1190/5000][150/535][122718] Loss_D: -0.018363 Loss_G: 0.011597 Loss_D_real: -0.019615 Loss_D_fake -0.001252
[1190/5000][155/535][122719] Loss_D: -0.019141 Loss_G: 0.006154 Loss_D_real: -0.012716 Loss_D_fake 0.006424
[1190/5000][160/535][122720] Loss_D: -0.020860 Loss_G: 0.007749 Loss_D_real: -0.018082 Loss_D_fake 0.002778
[1190/5000][165/535][122721] Loss_D: -0.020007 Loss_G: 0.020579 Loss_D_real: -0.029064 Loss_D_fake -0.009057
[1190/5000][170/535][122722] Loss_D: -0.019692 Loss_G: -0.000038 Loss_D_real: -0.023577 Loss_D_fake -0.003885
[1190/5000][175/535][122723] Loss_D: -0.019541 Loss_G: 0.002684 Loss_D_real: -0.018592 Loss_D_fake 0.000949
[1190/5000][180/535][122724] Loss_D: -0.020423 Loss_G: 0.015180 Loss_D_real: -0.022704 Loss_D_fake -0.002281
[1190/5000][185/535][122725] Loss_D: -0.019852 Loss_G: 0.003830 Loss_D_real: -0.019290 Loss_D_fake 0.000562
[1190/5000][190/535][122726] Loss_D: -0.020550 Loss_G: 0.005575 Loss_D_real: -0.032944 Loss_D_fake -0.012393
[1190/5000][195/535][122727] Loss_D: -0.020698 Loss_G: -0.000068 Loss_D_real: -0.015930 Loss_D_fake 0.004768
[1190/5000][200/535][122728] Loss_D: -0.020591 Loss_G: 0.014275 Loss_D_real: -0.020046 Loss_D_fake 0.000545
[1190/5000][205/535][122729] Loss_D: -0.020892 Loss_G: 0.022865 Loss_D_real: -0.026065 Loss_D_fake -0.005173
[1190/5000][210/535][122730] Loss_D: -0.019635 Loss_G: -0.013919 Loss_D_real: -0.011361 Loss_D_fake 0.008273
[1190/5000][215/535][122731] Loss_D: -0.017872 Loss_G: 0.014418 Loss_D_real: -0.032839 Loss_D_fake -0.014967
[1190/5000][220/535][122732] Loss_D: -0.020486 Loss_G: -0.007456 Loss_D_real: -0.010691 Loss_D_fake 0.009796
[1190/5000][225/535][122733] Loss_D: -0.021190 Loss_G: 0.002698 Loss_D_real: -0.022713 Loss_D_fake -0.001522
[1190/5000][230/535][122734] Loss_D: -0.021230 Loss_G: 0.001629 Loss_D_real: -0.013526 Loss_D_fake 0.007705
[1190/5000][235/535][122735] Loss_D: -0.019391 Loss_G: 0.017281 Loss_D_real: -0.023757 Loss_D_fake -0.004366
[1190/5000][240/535][122736] Loss_D: -0.019863 Loss_G: -0.009141 Loss_D_real: -0.005783 Loss_D_fake 0.014081
[1190/5000][245/535][122737] Loss_D: -0.020312 Loss_G: 0.002345 Loss_D_real: -0.023493 Loss_D_fake -0.003181
[1190/5000][250/535][122738] Loss_D: -0.018772 Loss_G: 0.005422 Loss_D_real: -0.022098 Loss_D_fake -0.003326
[1190/5000][255/535][122739] Loss_D: -0.020771 Loss_G: 0.012877 Loss_D_real: -0.017310 Loss_D_fake 0.003461
[1190/5000][260/535][122740] Loss_D: -0.020582 Loss_G: -0.006108 Loss_D_real: -0.006246 Loss_D_fake 0.014336
[1190/5000][265/535][122741] Loss_D: -0.020836 Loss_G: 0.009109 Loss_D_real: -0.023390 Loss_D_fake -0.002554
[1190/5000][270/535][122742] Loss_D: -0.021585 Loss_G: 0.010116 Loss_D_real: -0.033619 Loss_D_fake -0.012035
[1190/5000][275/535][122743] Loss_D: -0.020073 Loss_G: 0.011558 Loss_D_real: -0.010980 Loss_D_fake 0.009093
[1190/5000][280/535][122744] Loss_D: -0.020849 Loss_G: -0.007136 Loss_D_real: -0.019495 Loss_D_fake 0.001354
[1190/5000][285/535][122745] Loss_D: -0.020175 Loss_G: 0.021700 Loss_D_real: -0.011057 Loss_D_fake 0.009118
[1190/5000][290/535][122746] Loss_D: -0.021431 Loss_G: 0.000775 Loss_D_real: -0.012276 Loss_D_fake 0.009156
[1190/5000][295/535][122747] Loss_D: -0.020612 Loss_G: -0.001422 Loss_D_real: 0.002235 Loss_D_fake 0.022847
[1190/5000][300/535][122748] Loss_D: -0.020555 Loss_G: 0.008174 Loss_D_real: -0.012630 Loss_D_fake 0.007926
[1190/5000][305/535][122749] Loss_D: -0.020120 Loss_G: 0.000274 Loss_D_real: -0.016410 Loss_D_fake 0.003710
[1190/5000][310/535][122750] Loss_D: -0.019224 Loss_G: 0.021488 Loss_D_real: -0.026313 Loss_D_fake -0.007089
[1190/5000][315/535][122751] Loss_D: -0.019594 Loss_G: 0.011128 Loss_D_real: -0.011945 Loss_D_fake 0.007650
[1190/5000][320/535][122752] Loss_D: -0.021945 Loss_G: 0.006846 Loss_D_real: -0.014021 Loss_D_fake 0.007924
[1190/5000][325/535][122753] Loss_D: -0.020792 Loss_G: 0.003992 Loss_D_real: -0.018852 Loss_D_fake 0.001940
[1190/5000][330/535][122754] Loss_D: -0.021701 Loss_G: 0.020446 Loss_D_real: -0.022697 Loss_D_fake -0.000997
[1190/5000][335/535][122755] Loss_D: -0.020226 Loss_G: -0.010940 Loss_D_real: -0.001032 Loss_D_fake 0.019194
[1190/5000][340/535][122756] Loss_D: -0.020933 Loss_G: 0.009850 Loss_D_real: -0.014676 Loss_D_fake 0.006257
[1190/5000][345/535][122757] Loss_D: -0.020723 Loss_G: -0.008884 Loss_D_real: -0.011192 Loss_D_fake 0.009530
[1190/5000][350/535][122758] Loss_D: -0.020505 Loss_G: -0.002596 Loss_D_real: -0.020889 Loss_D_fake -0.000384
[1190/5000][355/535][122759] Loss_D: -0.020729 Loss_G: 0.017189 Loss_D_real: -0.016267 Loss_D_fake 0.004462
[1190/5000][360/535][122760] Loss_D: -0.021183 Loss_G: 0.014508 Loss_D_real: -0.009280 Loss_D_fake 0.011903
[1190/5000][365/535][122761] Loss_D: -0.021893 Loss_G: 0.013780 Loss_D_real: -0.019715 Loss_D_fake 0.002178
[1190/5000][370/535][122762] Loss_D: -0.019753 Loss_G: 0.018299 Loss_D_real: -0.026326 Loss_D_fake -0.006573
[1190/5000][375/535][122763] Loss_D: -0.018936 Loss_G: -0.014405 Loss_D_real: 0.000021 Loss_D_fake 0.018956
[1190/5000][380/535][122764] Loss_D: -0.020689 Loss_G: 0.002466 Loss_D_real: -0.023561 Loss_D_fake -0.002871
[1190/5000][385/535][122765] Loss_D: -0.021643 Loss_G: 0.007791 Loss_D_real: -0.020247 Loss_D_fake 0.001396
[1190/5000][390/535][122766] Loss_D: -0.019072 Loss_G: 0.022352 Loss_D_real: -0.036093 Loss_D_fake -0.017021
[1190/5000][395/535][122767] Loss_D: -0.021287 Loss_G: -0.000926 Loss_D_real: 0.001718 Loss_D_fake 0.023004
[1190/5000][400/535][122768] Loss_D: -0.020230 Loss_G: -0.011771 Loss_D_real: -0.004434 Loss_D_fake 0.015797
[1190/5000][405/535][122769] Loss_D: -0.019344 Loss_G: -0.000815 Loss_D_real: -0.014179 Loss_D_fake 0.005165
[1190/5000][410/535][122770] Loss_D: -0.019140 Loss_G: -0.004708 Loss_D_real: 0.002552 Loss_D_fake 0.021693
[1190/5000][415/535][122771] Loss_D: -0.020313 Loss_G: 0.011974 Loss_D_real: -0.017868 Loss_D_fake 0.002445
[1190/5000][420/535][122772] Loss_D: -0.019948 Loss_G: -0.006247 Loss_D_real: -0.018359 Loss_D_fake 0.001589
[1190/5000][425/535][122773] Loss_D: -0.020064 Loss_G: 0.013351 Loss_D_real: -0.030080 Loss_D_fake -0.010016
[1190/5000][430/535][122774] Loss_D: -0.019808 Loss_G: 0.010086 Loss_D_real: -0.020130 Loss_D_fake -0.000322
[1190/5000][435/535][122775] Loss_D: -0.020798 Loss_G: 0.020847 Loss_D_real: -0.036838 Loss_D_fake -0.016040
[1190/5000][440/535][122776] Loss_D: -0.021064 Loss_G: 0.012223 Loss_D_real: -0.019142 Loss_D_fake 0.001922
[1190/5000][445/535][122777] Loss_D: -0.020184 Loss_G: -0.002651 Loss_D_real: -0.004983 Loss_D_fake 0.015201
[1190/5000][450/535][122778] Loss_D: -0.020293 Loss_G: 0.009969 Loss_D_real: -0.022051 Loss_D_fake -0.001759
[1190/5000][455/535][122779] Loss_D: -0.021091 Loss_G: -0.011089 Loss_D_real: -0.008438 Loss_D_fake 0.012653
[1190/5000][460/535][122780] Loss_D: -0.020920 Loss_G: 0.003518 Loss_D_real: -0.015564 Loss_D_fake 0.005356
[1190/5000][465/535][122781] Loss_D: -0.021886 Loss_G: 0.012763 Loss_D_real: -0.006295 Loss_D_fake 0.015590
[1190/5000][470/535][122782] Loss_D: -0.020583 Loss_G: -0.001222 Loss_D_real: -0.017757 Loss_D_fake 0.002826
[1190/5000][475/535][122783] Loss_D: -0.020836 Loss_G: 0.013374 Loss_D_real: -0.016895 Loss_D_fake 0.003942
[1190/5000][480/535][122784] Loss_D: -0.020146 Loss_G: -0.006118 Loss_D_real: -0.010904 Loss_D_fake 0.009242
[1190/5000][485/535][122785] Loss_D: -0.020392 Loss_G: 0.014128 Loss_D_real: -0.035710 Loss_D_fake -0.015318
[1190/5000][490/535][122786] Loss_D: -0.020359 Loss_G: 0.011624 Loss_D_real: -0.013994 Loss_D_fake 0.006365
[1190/5000][495/535][122787] Loss_D: -0.020659 Loss_G: 0.021118 Loss_D_real: -0.026953 Loss_D_fake -0.006295
[1190/5000][500/535][122788] Loss_D: -0.019904 Loss_G: 0.009296 Loss_D_real: -0.018597 Loss_D_fake 0.001308
[1190/5000][505/535][122789] Loss_D: -0.021291 Loss_G: 0.003624 Loss_D_real: -0.021298 Loss_D_fake -0.000008
[1190/5000][510/535][122790] Loss_D: -0.020399 Loss_G: -0.012595 Loss_D_real: -0.004961 Loss_D_fake 0.015437
[1190/5000][515/535][122791] Loss_D: -0.021368 Loss_G: 0.003569 Loss_D_real: -0.007448 Loss_D_fake 0.013920
[1190/5000][520/535][122792] Loss_D: -0.019834 Loss_G: 0.009437 Loss_D_real: -0.033167 Loss_D_fake -0.013334
[1190/5000][525/535][122793] Loss_D: -0.021445 Loss_G: 0.016952 Loss_D_real: -0.017621 Loss_D_fake 0.003825
[1190/5000][530/535][122794] Loss_D: -0.020726 Loss_G: 0.007235 Loss_D_real: -0.014380 Loss_D_fake 0.006347
[1190/5000][535/535][122795] Loss_D: -0.020247 Loss_G: 0.020927 Loss_D_real: -0.020545 Loss_D_fake -0.000298
[1191/5000][5/535][122796] Loss_D: -0.020218 Loss_G: 0.013162 Loss_D_real: -0.021989 Loss_D_fake -0.001771
[1191/5000][10/535][122797] Loss_D: -0.020216 Loss_G: 0.018522 Loss_D_real: -0.032286 Loss_D_fake -0.012070
[1191/5000][15/535][122798] Loss_D: -0.020237 Loss_G: 0.000001 Loss_D_real: -0.014540 Loss_D_fake 0.005697
[1191/5000][20/535][122799] Loss_D: -0.019886 Loss_G: 0.009460 Loss_D_real: -0.022871 Loss_D_fake -0.002985
[1191/5000][25/535][122800] Loss_D: -0.021266 Loss_G: -0.003225 Loss_D_real: -0.017202 Loss_D_fake 0.004064
[1191/5000][30/535][122801] Loss_D: -0.020375 Loss_G: 0.010427 Loss_D_real: -0.009196 Loss_D_fake 0.011180
[1191/5000][35/535][122802] Loss_D: -0.019443 Loss_G: 0.018986 Loss_D_real: -0.028740 Loss_D_fake -0.009297
[1191/5000][40/535][122803] Loss_D: -0.020466 Loss_G: 0.020126 Loss_D_real: -0.032734 Loss_D_fake -0.012268
[1191/5000][45/535][122804] Loss_D: -0.022906 Loss_G: 0.003935 Loss_D_real: -0.020693 Loss_D_fake 0.002213
[1191/5000][50/535][122805] Loss_D: -0.020822 Loss_G: -0.004058 Loss_D_real: -0.019024 Loss_D_fake 0.001798
[1191/5000][55/535][122806] Loss_D: -0.021365 Loss_G: 0.020266 Loss_D_real: -0.029842 Loss_D_fake -0.008477
[1191/5000][60/535][122807] Loss_D: -0.019517 Loss_G: 0.019970 Loss_D_real: -0.020193 Loss_D_fake -0.000676
[1191/5000][65/535][122808] Loss_D: -0.020175 Loss_G: -0.011391 Loss_D_real: -0.011332 Loss_D_fake 0.008843
[1191/5000][70/535][122809] Loss_D: -0.020017 Loss_G: 0.016282 Loss_D_real: -0.019786 Loss_D_fake 0.000231
[1191/5000][75/535][122810] Loss_D: -0.021588 Loss_G: 0.003385 Loss_D_real: -0.019271 Loss_D_fake 0.002317
[1191/5000][80/535][122811] Loss_D: -0.019856 Loss_G: 0.020425 Loss_D_real: -0.029321 Loss_D_fake -0.009465
[1191/5000][85/535][122812] Loss_D: -0.019737 Loss_G: -0.000800 Loss_D_real: -0.017995 Loss_D_fake 0.001742
[1191/5000][90/535][122813] Loss_D: -0.020656 Loss_G: -0.001761 Loss_D_real: -0.018033 Loss_D_fake 0.002624
[1191/5000][95/535][122814] Loss_D: -0.020802 Loss_G: 0.015286 Loss_D_real: -0.024960 Loss_D_fake -0.004159
[1191/5000][100/535][122815] Loss_D: -0.019346 Loss_G: -0.002200 Loss_D_real: -0.003999 Loss_D_fake 0.015347
[1191/5000][105/535][122816] Loss_D: -0.021214 Loss_G: 0.020554 Loss_D_real: -0.036184 Loss_D_fake -0.014970
[1191/5000][110/535][122817] Loss_D: -0.020958 Loss_G: 0.013362 Loss_D_real: -0.023467 Loss_D_fake -0.002509
[1191/5000][115/535][122818] Loss_D: -0.021438 Loss_G: 0.002003 Loss_D_real: -0.012514 Loss_D_fake 0.008924
[1191/5000][120/535][122819] Loss_D: -0.020381 Loss_G: 0.004174 Loss_D_real: -0.017845 Loss_D_fake 0.002537
[1191/5000][125/535][122820] Loss_D: -0.021683 Loss_G: 0.000890 Loss_D_real: -0.017608 Loss_D_fake 0.004075
[1191/5000][130/535][122821] Loss_D: -0.019787 Loss_G: 0.009554 Loss_D_real: -0.018838 Loss_D_fake 0.000949
[1191/5000][135/535][122822] Loss_D: -0.022002 Loss_G: -0.009507 Loss_D_real: -0.000489 Loss_D_fake 0.021513
[1191/5000][140/535][122823] Loss_D: -0.019903 Loss_G: 0.001432 Loss_D_real: -0.005183 Loss_D_fake 0.014719
[1191/5000][145/535][122824] Loss_D: -0.020429 Loss_G: 0.003729 Loss_D_real: -0.010116 Loss_D_fake 0.010313
[1191/5000][150/535][122825] Loss_D: -0.020011 Loss_G: 0.001110 Loss_D_real: -0.013390 Loss_D_fake 0.006621
[1191/5000][155/535][122826] Loss_D: -0.020091 Loss_G: -0.004210 Loss_D_real: -0.001924 Loss_D_fake 0.018167
[1191/5000][160/535][122827] Loss_D: -0.020419 Loss_G: -0.003517 Loss_D_real: -0.007843 Loss_D_fake 0.012576
[1191/5000][165/535][122828] Loss_D: -0.021157 Loss_G: 0.008510 Loss_D_real: -0.021411 Loss_D_fake -0.000253
[1191/5000][170/535][122829] Loss_D: -0.020950 Loss_G: 0.003967 Loss_D_real: -0.012143 Loss_D_fake 0.008807
[1191/5000][175/535][122830] Loss_D: -0.020815 Loss_G: 0.012649 Loss_D_real: -0.013667 Loss_D_fake 0.007147
[1191/5000][180/535][122831] Loss_D: -0.020792 Loss_G: 0.009549 Loss_D_real: -0.019921 Loss_D_fake 0.000871
[1191/5000][185/535][122832] Loss_D: -0.020461 Loss_G: 0.021633 Loss_D_real: -0.035749 Loss_D_fake -0.015289
[1191/5000][190/535][122833] Loss_D: -0.019811 Loss_G: -0.011583 Loss_D_real: -0.006072 Loss_D_fake 0.013739
[1191/5000][195/535][122834] Loss_D: -0.020215 Loss_G: 0.002587 Loss_D_real: -0.023514 Loss_D_fake -0.003299
[1191/5000][200/535][122835] Loss_D: -0.020503 Loss_G: 0.000956 Loss_D_real: -0.018634 Loss_D_fake 0.001869
[1191/5000][205/535][122836] Loss_D: -0.019481 Loss_G: 0.014665 Loss_D_real: -0.025237 Loss_D_fake -0.005756
[1191/5000][210/535][122837] Loss_D: -0.020801 Loss_G: -0.017613 Loss_D_real: -0.013058 Loss_D_fake 0.007744
[1191/5000][215/535][122838] Loss_D: -0.020279 Loss_G: 0.010467 Loss_D_real: -0.016063 Loss_D_fake 0.004217
[1191/5000][220/535][122839] Loss_D: -0.019240 Loss_G: 0.026163 Loss_D_real: -0.026014 Loss_D_fake -0.006774
[1191/5000][225/535][122840] Loss_D: -0.020366 Loss_G: 0.012297 Loss_D_real: -0.024943 Loss_D_fake -0.004577
[1191/5000][230/535][122841] Loss_D: -0.020069 Loss_G: -0.014912 Loss_D_real: -0.020208 Loss_D_fake -0.000139
[1191/5000][235/535][122842] Loss_D: -0.021205 Loss_G: 0.011354 Loss_D_real: -0.003704 Loss_D_fake 0.017501
[1191/5000][240/535][122843] Loss_D: -0.019851 Loss_G: -0.000790 Loss_D_real: -0.013182 Loss_D_fake 0.006669
[1191/5000][245/535][122844] Loss_D: -0.019485 Loss_G: 0.025960 Loss_D_real: -0.029462 Loss_D_fake -0.009977
[1191/5000][250/535][122845] Loss_D: -0.019852 Loss_G: 0.019596 Loss_D_real: -0.021552 Loss_D_fake -0.001701
[1191/5000][255/535][122846] Loss_D: -0.021175 Loss_G: -0.003314 Loss_D_real: -0.011797 Loss_D_fake 0.009378
[1191/5000][260/535][122847] Loss_D: -0.019580 Loss_G: 0.012347 Loss_D_real: -0.039427 Loss_D_fake -0.019847
[1191/5000][265/535][122848] Loss_D: -0.020066 Loss_G: 0.015157 Loss_D_real: -0.022342 Loss_D_fake -0.002275
[1191/5000][270/535][122849] Loss_D: -0.019890 Loss_G: -0.005705 Loss_D_real: -0.006151 Loss_D_fake 0.013739
[1191/5000][275/535][122850] Loss_D: -0.021875 Loss_G: 0.006841 Loss_D_real: -0.013403 Loss_D_fake 0.008471
[1191/5000][280/535][122851] Loss_D: -0.020560 Loss_G: 0.003736 Loss_D_real: -0.005523 Loss_D_fake 0.015037
[1191/5000][285/535][122852] Loss_D: -0.020440 Loss_G: 0.018152 Loss_D_real: -0.030059 Loss_D_fake -0.009619
[1191/5000][290/535][122853] Loss_D: -0.019789 Loss_G: -0.020824 Loss_D_real: -0.006854 Loss_D_fake 0.012935
[1191/5000][295/535][122854] Loss_D: -0.020093 Loss_G: -0.005370 Loss_D_real: -0.015795 Loss_D_fake 0.004298
[1191/5000][300/535][122855] Loss_D: -0.020860 Loss_G: -0.003158 Loss_D_real: -0.020249 Loss_D_fake 0.000611
[1191/5000][305/535][122856] Loss_D: -0.018609 Loss_G: 0.000198 Loss_D_real: -0.011346 Loss_D_fake 0.007263
[1191/5000][310/535][122857] Loss_D: -0.020477 Loss_G: 0.007906 Loss_D_real: -0.015251 Loss_D_fake 0.005226
[1191/5000][315/535][122858] Loss_D: -0.019752 Loss_G: 0.002031 Loss_D_real: -0.008282 Loss_D_fake 0.011470
[1191/5000][320/535][122859] Loss_D: -0.020355 Loss_G: 0.008621 Loss_D_real: -0.015167 Loss_D_fake 0.005189
[1191/5000][325/535][122860] Loss_D: -0.019352 Loss_G: 0.007180 Loss_D_real: -0.018940 Loss_D_fake 0.000412
[1191/5000][330/535][122861] Loss_D: -0.021442 Loss_G: -0.006210 Loss_D_real: -0.007052 Loss_D_fake 0.014390
[1191/5000][335/535][122862] Loss_D: -0.020034 Loss_G: -0.000349 Loss_D_real: -0.014134 Loss_D_fake 0.005900
[1191/5000][340/535][122863] Loss_D: -0.021067 Loss_G: 0.007193 Loss_D_real: -0.020879 Loss_D_fake 0.000188
[1191/5000][345/535][122864] Loss_D: -0.020948 Loss_G: 0.013536 Loss_D_real: -0.023402 Loss_D_fake -0.002454
[1191/5000][350/535][122865] Loss_D: -0.021493 Loss_G: 0.006986 Loss_D_real: 0.000248 Loss_D_fake 0.021741
[1191/5000][355/535][122866] Loss_D: -0.021476 Loss_G: 0.014729 Loss_D_real: -0.020238 Loss_D_fake 0.001238
[1191/5000][360/535][122867] Loss_D: -0.019549 Loss_G: -0.008598 Loss_D_real: -0.006442 Loss_D_fake 0.013108
[1191/5000][365/535][122868] Loss_D: -0.020671 Loss_G: 0.003957 Loss_D_real: -0.013771 Loss_D_fake 0.006900
[1191/5000][370/535][122869] Loss_D: -0.020668 Loss_G: 0.018242 Loss_D_real: -0.025658 Loss_D_fake -0.004989
[1191/5000][375/535][122870] Loss_D: -0.020643 Loss_G: -0.011095 Loss_D_real: 0.005262 Loss_D_fake 0.025904
[1191/5000][380/535][122871] Loss_D: -0.020748 Loss_G: 0.010034 Loss_D_real: -0.026798 Loss_D_fake -0.006051
[1191/5000][385/535][122872] Loss_D: -0.018877 Loss_G: 0.026667 Loss_D_real: -0.026355 Loss_D_fake -0.007478
[1191/5000][390/535][122873] Loss_D: -0.020790 Loss_G: 0.012476 Loss_D_real: -0.024179 Loss_D_fake -0.003389
[1191/5000][395/535][122874] Loss_D: -0.021186 Loss_G: -0.004389 Loss_D_real: -0.025431 Loss_D_fake -0.004245
[1191/5000][400/535][122875] Loss_D: -0.019336 Loss_G: -0.009520 Loss_D_real: -0.004947 Loss_D_fake 0.014388
[1191/5000][405/535][122876] Loss_D: -0.019543 Loss_G: 0.002519 Loss_D_real: -0.008248 Loss_D_fake 0.011295
[1191/5000][410/535][122877] Loss_D: -0.021661 Loss_G: 0.005195 Loss_D_real: -0.003548 Loss_D_fake 0.018113
[1191/5000][415/535][122878] Loss_D: -0.019260 Loss_G: -0.017060 Loss_D_real: 0.002996 Loss_D_fake 0.022255
[1191/5000][420/535][122879] Loss_D: -0.019847 Loss_G: 0.011667 Loss_D_real: -0.024207 Loss_D_fake -0.004360
[1191/5000][425/535][122880] Loss_D: -0.020361 Loss_G: -0.001797 Loss_D_real: -0.012479 Loss_D_fake 0.007882
[1191/5000][430/535][122881] Loss_D: -0.020954 Loss_G: 0.002097 Loss_D_real: -0.011597 Loss_D_fake 0.009358
[1191/5000][435/535][122882] Loss_D: -0.021390 Loss_G: 0.016060 Loss_D_real: -0.018001 Loss_D_fake 0.003390
[1191/5000][440/535][122883] Loss_D: -0.019903 Loss_G: -0.015764 Loss_D_real: -0.001145 Loss_D_fake 0.018758
[1191/5000][445/535][122884] Loss_D: -0.019977 Loss_G: 0.009688 Loss_D_real: -0.016714 Loss_D_fake 0.003263
[1191/5000][450/535][122885] Loss_D: -0.019579 Loss_G: 0.000376 Loss_D_real: -0.008166 Loss_D_fake 0.011413
[1191/5000][455/535][122886] Loss_D: -0.019252 Loss_G: 0.020538 Loss_D_real: -0.032348 Loss_D_fake -0.013096
[1191/5000][460/535][122887] Loss_D: -0.021007 Loss_G: 0.004648 Loss_D_real: -0.020899 Loss_D_fake 0.000108
[1191/5000][465/535][122888] Loss_D: -0.020979 Loss_G: -0.008171 Loss_D_real: -0.002363 Loss_D_fake 0.018616
[1191/5000][470/535][122889] Loss_D: -0.020855 Loss_G: 0.001327 Loss_D_real: -0.008803 Loss_D_fake 0.012052
[1191/5000][475/535][122890] Loss_D: -0.020723 Loss_G: 0.025997 Loss_D_real: -0.027965 Loss_D_fake -0.007242
[1191/5000][480/535][122891] Loss_D: -0.021191 Loss_G: -0.007839 Loss_D_real: -0.019599 Loss_D_fake 0.001592
[1191/5000][485/535][122892] Loss_D: -0.019819 Loss_G: -0.008209 Loss_D_real: -0.007217 Loss_D_fake 0.012602
[1191/5000][490/535][122893] Loss_D: -0.020351 Loss_G: 0.008840 Loss_D_real: -0.028902 Loss_D_fake -0.008551
[1191/5000][495/535][122894] Loss_D: -0.021128 Loss_G: 0.020493 Loss_D_real: -0.024027 Loss_D_fake -0.002899
[1191/5000][500/535][122895] Loss_D: -0.019325 Loss_G: -0.012182 Loss_D_real: -0.003538 Loss_D_fake 0.015787
[1191/5000][505/535][122896] Loss_D: -0.020966 Loss_G: 0.018679 Loss_D_real: -0.032307 Loss_D_fake -0.011341
[1191/5000][510/535][122897] Loss_D: -0.019756 Loss_G: 0.007446 Loss_D_real: -0.009667 Loss_D_fake 0.010089
[1191/5000][515/535][122898] Loss_D: -0.020702 Loss_G: 0.019037 Loss_D_real: -0.026829 Loss_D_fake -0.006127
[1191/5000][520/535][122899] Loss_D: -0.019547 Loss_G: -0.003055 Loss_D_real: 0.000596 Loss_D_fake 0.020143
[1191/5000][525/535][122900] Loss_D: -0.020585 Loss_G: 0.016296 Loss_D_real: -0.023306 Loss_D_fake -0.002721
[1191/5000][530/535][122901] Loss_D: -0.020581 Loss_G: 0.023365 Loss_D_real: -0.026806 Loss_D_fake -0.006225
[1191/5000][535/535][122902] Loss_D: -0.019702 Loss_G: -0.023629 Loss_D_real: -0.006980 Loss_D_fake 0.012721
[1192/5000][5/535][122903] Loss_D: -0.019169 Loss_G: 0.006401 Loss_D_real: -0.015012 Loss_D_fake 0.004156
[1192/5000][10/535][122904] Loss_D: -0.021769 Loss_G: 0.013574 Loss_D_real: -0.026176 Loss_D_fake -0.004407
[1192/5000][15/535][122905] Loss_D: -0.021404 Loss_G: 0.020677 Loss_D_real: -0.032554 Loss_D_fake -0.011151
[1192/5000][20/535][122906] Loss_D: -0.021178 Loss_G: 0.020354 Loss_D_real: -0.022581 Loss_D_fake -0.001403
[1192/5000][25/535][122907] Loss_D: -0.021016 Loss_G: -0.006005 Loss_D_real: 0.002079 Loss_D_fake 0.023096
[1192/5000][30/535][122908] Loss_D: -0.018618 Loss_G: 0.013423 Loss_D_real: -0.034929 Loss_D_fake -0.016311
[1192/5000][35/535][122909] Loss_D: -0.020980 Loss_G: 0.016489 Loss_D_real: -0.020093 Loss_D_fake 0.000887
[1192/5000][40/535][122910] Loss_D: -0.021307 Loss_G: 0.002992 Loss_D_real: -0.019379 Loss_D_fake 0.001928
[1192/5000][45/535][122911] Loss_D: -0.020281 Loss_G: 0.005772 Loss_D_real: -0.015027 Loss_D_fake 0.005255
[1192/5000][50/535][122912] Loss_D: -0.021217 Loss_G: 0.007734 Loss_D_real: -0.020216 Loss_D_fake 0.001001
[1192/5000][55/535][122913] Loss_D: -0.021364 Loss_G: 0.008932 Loss_D_real: -0.005581 Loss_D_fake 0.015784
[1192/5000][60/535][122914] Loss_D: -0.019615 Loss_G: 0.008508 Loss_D_real: -0.017709 Loss_D_fake 0.001906
[1192/5000][65/535][122915] Loss_D: -0.019927 Loss_G: -0.007366 Loss_D_real: -0.006687 Loss_D_fake 0.013241
[1192/5000][70/535][122916] Loss_D: -0.020209 Loss_G: 0.000976 Loss_D_real: -0.017197 Loss_D_fake 0.003012
[1192/5000][75/535][122917] Loss_D: -0.020813 Loss_G: 0.014181 Loss_D_real: -0.017684 Loss_D_fake 0.003129
[1192/5000][80/535][122918] Loss_D: -0.020320 Loss_G: -0.000445 Loss_D_real: -0.013093 Loss_D_fake 0.007227
[1192/5000][85/535][122919] Loss_D: -0.019978 Loss_G: 0.004554 Loss_D_real: -0.023868 Loss_D_fake -0.003890
[1192/5000][90/535][122920] Loss_D: -0.020543 Loss_G: 0.012972 Loss_D_real: -0.024322 Loss_D_fake -0.003779
[1192/5000][95/535][122921] Loss_D: -0.021639 Loss_G: -0.012546 Loss_D_real: -0.014139 Loss_D_fake 0.007500
[1192/5000][100/535][122922] Loss_D: -0.019718 Loss_G: 0.023983 Loss_D_real: -0.020213 Loss_D_fake -0.000495
[1192/5000][105/535][122923] Loss_D: -0.021413 Loss_G: 0.006418 Loss_D_real: -0.011705 Loss_D_fake 0.009709
[1192/5000][110/535][122924] Loss_D: -0.020896 Loss_G: 0.011867 Loss_D_real: -0.014920 Loss_D_fake 0.005977
[1192/5000][115/535][122925] Loss_D: -0.019409 Loss_G: 0.019473 Loss_D_real: -0.029968 Loss_D_fake -0.010560
[1192/5000][120/535][122926] Loss_D: -0.020771 Loss_G: -0.004304 Loss_D_real: -0.019921 Loss_D_fake 0.000850
[1192/5000][125/535][122927] Loss_D: -0.020271 Loss_G: 0.005019 Loss_D_real: -0.012700 Loss_D_fake 0.007571
[1192/5000][130/535][122928] Loss_D: -0.019267 Loss_G: -0.014467 Loss_D_real: -0.012130 Loss_D_fake 0.007137
[1192/5000][135/535][122929] Loss_D: -0.019224 Loss_G: 0.014655 Loss_D_real: -0.019172 Loss_D_fake 0.000052
[1192/5000][140/535][122930] Loss_D: -0.020102 Loss_G: -0.007033 Loss_D_real: -0.018039 Loss_D_fake 0.002063
[1192/5000][145/535][122931] Loss_D: -0.020817 Loss_G: 0.004309 Loss_D_real: -0.009012 Loss_D_fake 0.011806
[1192/5000][150/535][122932] Loss_D: -0.020596 Loss_G: 0.002450 Loss_D_real: -0.011521 Loss_D_fake 0.009075
[1192/5000][155/535][122933] Loss_D: -0.020059 Loss_G: 0.016008 Loss_D_real: -0.022928 Loss_D_fake -0.002868
[1192/5000][160/535][122934] Loss_D: -0.018760 Loss_G: 0.011303 Loss_D_real: -0.015421 Loss_D_fake 0.003339
[1192/5000][165/535][122935] Loss_D: -0.019928 Loss_G: 0.003802 Loss_D_real: -0.009176 Loss_D_fake 0.010752
[1192/5000][170/535][122936] Loss_D: -0.021033 Loss_G: 0.007472 Loss_D_real: -0.015436 Loss_D_fake 0.005597
[1192/5000][175/535][122937] Loss_D: -0.019713 Loss_G: -0.012963 Loss_D_real: -0.011143 Loss_D_fake 0.008570
[1192/5000][180/535][122938] Loss_D: -0.019509 Loss_G: 0.020790 Loss_D_real: -0.035919 Loss_D_fake -0.016410
[1192/5000][185/535][122939] Loss_D: -0.018803 Loss_G: 0.024994 Loss_D_real: -0.026580 Loss_D_fake -0.007777
[1192/5000][190/535][122940] Loss_D: -0.019807 Loss_G: -0.000918 Loss_D_real: -0.009968 Loss_D_fake 0.009840
[1192/5000][195/535][122941] Loss_D: -0.020615 Loss_G: 0.009879 Loss_D_real: -0.018911 Loss_D_fake 0.001704
[1192/5000][200/535][122942] Loss_D: -0.019374 Loss_G: -0.010988 Loss_D_real: 0.000262 Loss_D_fake 0.019636
[1192/5000][205/535][122943] Loss_D: -0.019988 Loss_G: -0.006051 Loss_D_real: -0.006458 Loss_D_fake 0.013531
[1192/5000][210/535][122944] Loss_D: -0.021181 Loss_G: -0.000981 Loss_D_real: -0.019625 Loss_D_fake 0.001556
[1192/5000][215/535][122945] Loss_D: -0.020406 Loss_G: -0.005239 Loss_D_real: -0.010363 Loss_D_fake 0.010042
[1192/5000][220/535][122946] Loss_D: -0.020705 Loss_G: -0.003995 Loss_D_real: -0.009032 Loss_D_fake 0.011673
[1192/5000][225/535][122947] Loss_D: -0.021604 Loss_G: 0.032140 Loss_D_real: -0.019968 Loss_D_fake 0.001636
[1192/5000][230/535][122948] Loss_D: -0.020152 Loss_G: 0.007789 Loss_D_real: -0.008995 Loss_D_fake 0.011157
[1192/5000][235/535][122949] Loss_D: -0.020960 Loss_G: 0.010432 Loss_D_real: -0.014994 Loss_D_fake 0.005966
[1192/5000][240/535][122950] Loss_D: -0.021126 Loss_G: -0.013065 Loss_D_real: 0.003045 Loss_D_fake 0.024170
[1192/5000][245/535][122951] Loss_D: -0.019859 Loss_G: 0.013882 Loss_D_real: -0.016544 Loss_D_fake 0.003315
[1192/5000][250/535][122952] Loss_D: -0.020734 Loss_G: 0.003577 Loss_D_real: -0.026981 Loss_D_fake -0.006247
[1192/5000][255/535][122953] Loss_D: -0.021453 Loss_G: 0.001829 Loss_D_real: -0.009233 Loss_D_fake 0.012220
[1192/5000][260/535][122954] Loss_D: -0.020018 Loss_G: 0.018977 Loss_D_real: -0.026514 Loss_D_fake -0.006496
[1192/5000][265/535][122955] Loss_D: -0.020153 Loss_G: 0.007846 Loss_D_real: -0.019297 Loss_D_fake 0.000856
[1192/5000][270/535][122956] Loss_D: -0.021550 Loss_G: 0.010679 Loss_D_real: -0.002713 Loss_D_fake 0.018837
[1192/5000][275/535][122957] Loss_D: -0.020640 Loss_G: 0.015002 Loss_D_real: -0.027807 Loss_D_fake -0.007167
[1192/5000][280/535][122958] Loss_D: -0.020147 Loss_G: 0.017893 Loss_D_real: -0.033736 Loss_D_fake -0.013589
[1192/5000][285/535][122959] Loss_D: -0.020272 Loss_G: 0.020547 Loss_D_real: -0.019420 Loss_D_fake 0.000852
[1192/5000][290/535][122960] Loss_D: -0.021827 Loss_G: -0.008259 Loss_D_real: -0.019856 Loss_D_fake 0.001971
[1192/5000][295/535][122961] Loss_D: -0.020031 Loss_G: -0.006301 Loss_D_real: 0.000611 Loss_D_fake 0.020642
[1192/5000][300/535][122962] Loss_D: -0.020471 Loss_G: 0.004891 Loss_D_real: -0.018052 Loss_D_fake 0.002419
[1192/5000][305/535][122963] Loss_D: -0.020046 Loss_G: -0.001303 Loss_D_real: -0.015577 Loss_D_fake 0.004469
[1192/5000][310/535][122964] Loss_D: -0.022509 Loss_G: 0.011863 Loss_D_real: -0.011072 Loss_D_fake 0.011437
[1192/5000][315/535][122965] Loss_D: -0.019948 Loss_G: 0.014040 Loss_D_real: -0.026208 Loss_D_fake -0.006259
[1192/5000][320/535][122966] Loss_D: -0.019947 Loss_G: 0.024848 Loss_D_real: -0.030480 Loss_D_fake -0.010533
[1192/5000][325/535][122967] Loss_D: -0.020415 Loss_G: 0.004260 Loss_D_real: -0.021179 Loss_D_fake -0.000763
[1192/5000][330/535][122968] Loss_D: -0.019511 Loss_G: -0.000429 Loss_D_real: -0.013648 Loss_D_fake 0.005863
[1192/5000][335/535][122969] Loss_D: -0.019379 Loss_G: -0.003178 Loss_D_real: -0.003406 Loss_D_fake 0.015973
[1192/5000][340/535][122970] Loss_D: -0.018998 Loss_G: 0.006755 Loss_D_real: -0.032346 Loss_D_fake -0.013348
[1192/5000][345/535][122971] Loss_D: -0.019464 Loss_G: 0.011802 Loss_D_real: -0.024152 Loss_D_fake -0.004688
[1192/5000][350/535][122972] Loss_D: -0.020483 Loss_G: -0.008405 Loss_D_real: -0.008418 Loss_D_fake 0.012065
[1192/5000][355/535][122973] Loss_D: -0.018177 Loss_G: 0.020980 Loss_D_real: -0.031084 Loss_D_fake -0.012907
[1192/5000][360/535][122974] Loss_D: -0.021510 Loss_G: 0.018626 Loss_D_real: -0.025428 Loss_D_fake -0.003918
[1192/5000][365/535][122975] Loss_D: -0.020359 Loss_G: 0.010802 Loss_D_real: -0.024589 Loss_D_fake -0.004231
[1192/5000][370/535][122976] Loss_D: -0.021081 Loss_G: -0.014668 Loss_D_real: 0.001801 Loss_D_fake 0.022882
[1192/5000][375/535][122977] Loss_D: -0.018965 Loss_G: -0.010075 Loss_D_real: -0.001798 Loss_D_fake 0.017167
[1192/5000][380/535][122978] Loss_D: -0.021046 Loss_G: 0.012542 Loss_D_real: -0.014056 Loss_D_fake 0.006990
[1192/5000][385/535][122979] Loss_D: -0.020218 Loss_G: 0.018909 Loss_D_real: -0.027491 Loss_D_fake -0.007273
[1192/5000][390/535][122980] Loss_D: -0.021146 Loss_G: -0.011412 Loss_D_real: -0.006857 Loss_D_fake 0.014289
[1192/5000][395/535][122981] Loss_D: -0.020607 Loss_G: 0.015059 Loss_D_real: -0.017986 Loss_D_fake 0.002621
[1192/5000][400/535][122982] Loss_D: -0.021639 Loss_G: -0.016787 Loss_D_real: -0.010099 Loss_D_fake 0.011540
[1192/5000][405/535][122983] Loss_D: -0.020892 Loss_G: -0.007281 Loss_D_real: 0.004096 Loss_D_fake 0.024988
[1192/5000][410/535][122984] Loss_D: -0.020773 Loss_G: 0.009506 Loss_D_real: -0.020408 Loss_D_fake 0.000365
[1192/5000][415/535][122985] Loss_D: -0.020910 Loss_G: 0.016803 Loss_D_real: -0.024864 Loss_D_fake -0.003954
[1192/5000][420/535][122986] Loss_D: -0.019145 Loss_G: 0.023974 Loss_D_real: -0.031298 Loss_D_fake -0.012153
[1192/5000][425/535][122987] Loss_D: -0.019703 Loss_G: 0.000501 Loss_D_real: -0.008077 Loss_D_fake 0.011627
[1192/5000][430/535][122988] Loss_D: -0.018576 Loss_G: 0.025517 Loss_D_real: -0.034960 Loss_D_fake -0.016383
[1192/5000][435/535][122989] Loss_D: -0.019632 Loss_G: -0.007662 Loss_D_real: -0.009663 Loss_D_fake 0.009969
[1192/5000][440/535][122990] Loss_D: -0.019495 Loss_G: 0.017312 Loss_D_real: -0.027122 Loss_D_fake -0.007627
[1192/5000][445/535][122991] Loss_D: -0.019981 Loss_G: -0.012736 Loss_D_real: -0.006535 Loss_D_fake 0.013446
[1192/5000][450/535][122992] Loss_D: -0.020432 Loss_G: 0.005661 Loss_D_real: -0.018022 Loss_D_fake 0.002411
[1192/5000][455/535][122993] Loss_D: -0.021161 Loss_G: -0.001931 Loss_D_real: -0.013047 Loss_D_fake 0.008114
[1192/5000][460/535][122994] Loss_D: -0.021667 Loss_G: 0.017123 Loss_D_real: -0.013478 Loss_D_fake 0.008189
[1192/5000][465/535][122995] Loss_D: -0.019819 Loss_G: 0.014206 Loss_D_real: -0.024997 Loss_D_fake -0.005178
[1192/5000][470/535][122996] Loss_D: -0.020647 Loss_G: 0.002810 Loss_D_real: -0.020770 Loss_D_fake -0.000124
[1192/5000][475/535][122997] Loss_D: -0.019631 Loss_G: 0.004402 Loss_D_real: -0.016081 Loss_D_fake 0.003550
[1192/5000][480/535][122998] Loss_D: -0.019779 Loss_G: 0.004792 Loss_D_real: -0.017944 Loss_D_fake 0.001834
[1192/5000][485/535][122999] Loss_D: -0.020875 Loss_G: 0.002777 Loss_D_real: -0.022962 Loss_D_fake -0.002087
[1192/5000][490/535][123000] Loss_D: -0.019967 Loss_G: 0.020268 Loss_D_real: -0.031085 Loss_D_fake -0.011118
[1192/5000][535/535][123001] Loss_D: -0.024873 Loss_G: -0.028138 Loss_D_real: -0.014405 Loss_D_fake 0.010469
[1193/5000][5/535][123002] Loss_D: -0.018876 Loss_G: -0.005934 Loss_D_real: 0.001639 Loss_D_fake 0.020515
[1193/5000][10/535][123003] Loss_D: -0.021386 Loss_G: 0.017242 Loss_D_real: -0.017970 Loss_D_fake 0.003417
[1193/5000][15/535][123004] Loss_D: -0.019729 Loss_G: 0.009350 Loss_D_real: -0.028747 Loss_D_fake -0.009018
[1193/5000][20/535][123005] Loss_D: -0.019534 Loss_G: 0.011118 Loss_D_real: -0.025389 Loss_D_fake -0.005855
[1193/5000][25/535][123006] Loss_D: -0.020635 Loss_G: 0.003203 Loss_D_real: -0.016286 Loss_D_fake 0.004349
[1193/5000][30/535][123007] Loss_D: -0.020182 Loss_G: 0.014448 Loss_D_real: -0.017088 Loss_D_fake 0.003094
[1193/5000][35/535][123008] Loss_D: -0.019640 Loss_G: -0.004106 Loss_D_real: -0.000423 Loss_D_fake 0.019216
[1193/5000][40/535][123009] Loss_D: -0.020022 Loss_G: -0.003124 Loss_D_real: -0.011877 Loss_D_fake 0.008145
[1193/5000][45/535][123010] Loss_D: -0.021003 Loss_G: 0.006098 Loss_D_real: -0.013113 Loss_D_fake 0.007891
[1193/5000][50/535][123011] Loss_D: -0.020977 Loss_G: 0.008577 Loss_D_real: -0.011818 Loss_D_fake 0.009159
[1193/5000][55/535][123012] Loss_D: -0.020550 Loss_G: -0.009009 Loss_D_real: -0.012989 Loss_D_fake 0.007561
[1193/5000][60/535][123013] Loss_D: -0.020952 Loss_G: 0.012079 Loss_D_real: -0.021827 Loss_D_fake -0.000875
[1193/5000][65/535][123014] Loss_D: -0.021005 Loss_G: 0.014370 Loss_D_real: -0.031959 Loss_D_fake -0.010954
[1193/5000][70/535][123015] Loss_D: -0.021436 Loss_G: -0.006309 Loss_D_real: -0.003708 Loss_D_fake 0.017728
[1193/5000][75/535][123016] Loss_D: -0.021193 Loss_G: -0.007824 Loss_D_real: -0.009372 Loss_D_fake 0.011821
[1193/5000][80/535][123017] Loss_D: -0.021814 Loss_G: 0.011824 Loss_D_real: -0.006635 Loss_D_fake 0.015179
[1193/5000][85/535][123018] Loss_D: -0.020821 Loss_G: 0.014415 Loss_D_real: -0.026986 Loss_D_fake -0.006165
[1193/5000][90/535][123019] Loss_D: -0.020897 Loss_G: 0.013747 Loss_D_real: -0.022708 Loss_D_fake -0.001811
[1193/5000][95/535][123020] Loss_D: -0.020475 Loss_G: 0.003447 Loss_D_real: -0.019242 Loss_D_fake 0.001233
[1193/5000][100/535][123021] Loss_D: -0.020325 Loss_G: -0.004269 Loss_D_real: -0.018901 Loss_D_fake 0.001424
[1193/5000][105/535][123022] Loss_D: -0.020821 Loss_G: 0.027721 Loss_D_real: -0.028431 Loss_D_fake -0.007611
[1193/5000][110/535][123023] Loss_D: -0.020074 Loss_G: 0.001485 Loss_D_real: -0.020677 Loss_D_fake -0.000603
[1193/5000][115/535][123024] Loss_D: -0.020014 Loss_G: 0.000412 Loss_D_real: -0.021303 Loss_D_fake -0.001289
[1193/5000][120/535][123025] Loss_D: -0.018136 Loss_G: -0.010922 Loss_D_real: -0.008008 Loss_D_fake 0.010128
[1193/5000][125/535][123026] Loss_D: -0.018894 Loss_G: -0.016815 Loss_D_real: -0.001076 Loss_D_fake 0.017818
[1193/5000][130/535][123027] Loss_D: -0.019619 Loss_G: 0.014463 Loss_D_real: -0.027305 Loss_D_fake -0.007686
[1193/5000][135/535][123028] Loss_D: -0.020158 Loss_G: 0.014545 Loss_D_real: -0.027091 Loss_D_fake -0.006933
[1193/5000][140/535][123029] Loss_D: -0.019525 Loss_G: 0.026233 Loss_D_real: -0.025405 Loss_D_fake -0.005880
[1193/5000][145/535][123030] Loss_D: -0.019875 Loss_G: -0.008499 Loss_D_real: -0.003425 Loss_D_fake 0.016450
[1193/5000][150/535][123031] Loss_D: -0.019561 Loss_G: -0.003911 Loss_D_real: -0.014566 Loss_D_fake 0.004995
[1193/5000][155/535][123032] Loss_D: -0.019373 Loss_G: 0.008957 Loss_D_real: -0.031312 Loss_D_fake -0.011940
[1193/5000][160/535][123033] Loss_D: -0.020032 Loss_G: 0.002366 Loss_D_real: -0.024431 Loss_D_fake -0.004399
[1193/5000][165/535][123034] Loss_D: -0.020274 Loss_G: 0.004026 Loss_D_real: -0.031862 Loss_D_fake -0.011588
[1193/5000][170/535][123035] Loss_D: -0.020386 Loss_G: -0.005241 Loss_D_real: -0.007908 Loss_D_fake 0.012477
[1193/5000][175/535][123036] Loss_D: -0.020191 Loss_G: 0.006254 Loss_D_real: -0.012146 Loss_D_fake 0.008045
[1193/5000][180/535][123037] Loss_D: -0.020189 Loss_G: 0.002364 Loss_D_real: -0.014188 Loss_D_fake 0.006001
[1193/5000][185/535][123038] Loss_D: -0.019512 Loss_G: 0.001285 Loss_D_real: -0.014403 Loss_D_fake 0.005108
[1193/5000][190/535][123039] Loss_D: -0.020353 Loss_G: 0.006776 Loss_D_real: -0.017572 Loss_D_fake 0.002781
[1193/5000][195/535][123040] Loss_D: -0.019508 Loss_G: 0.017914 Loss_D_real: -0.037720 Loss_D_fake -0.018212
[1193/5000][200/535][123041] Loss_D: -0.020003 Loss_G: -0.002333 Loss_D_real: -0.006195 Loss_D_fake 0.013808
[1193/5000][205/535][123042] Loss_D: -0.020158 Loss_G: 0.007152 Loss_D_real: -0.035261 Loss_D_fake -0.015102
[1193/5000][210/535][123043] Loss_D: -0.020070 Loss_G: -0.004424 Loss_D_real: -0.017261 Loss_D_fake 0.002810
[1193/5000][215/535][123044] Loss_D: -0.020463 Loss_G: 0.018691 Loss_D_real: -0.018421 Loss_D_fake 0.002042
[1193/5000][220/535][123045] Loss_D: -0.018339 Loss_G: 0.027655 Loss_D_real: -0.028803 Loss_D_fake -0.010465
[1193/5000][225/535][123046] Loss_D: -0.020418 Loss_G: 0.002871 Loss_D_real: -0.010018 Loss_D_fake 0.010399
[1193/5000][230/535][123047] Loss_D: -0.020030 Loss_G: -0.002147 Loss_D_real: -0.014783 Loss_D_fake 0.005247
[1193/5000][235/535][123048] Loss_D: -0.021142 Loss_G: 0.014425 Loss_D_real: -0.027725 Loss_D_fake -0.006583
[1193/5000][240/535][123049] Loss_D: -0.020535 Loss_G: -0.006965 Loss_D_real: -0.018253 Loss_D_fake 0.002281
[1193/5000][245/535][123050] Loss_D: -0.019488 Loss_G: 0.012271 Loss_D_real: -0.011125 Loss_D_fake 0.008363
[1193/5000][250/535][123051] Loss_D: -0.021148 Loss_G: 0.009242 Loss_D_real: -0.019972 Loss_D_fake 0.001176
[1193/5000][255/535][123052] Loss_D: -0.020859 Loss_G: 0.009299 Loss_D_real: -0.018785 Loss_D_fake 0.002074
[1193/5000][260/535][123053] Loss_D: -0.021635 Loss_G: 0.006408 Loss_D_real: -0.012127 Loss_D_fake 0.009508
[1193/5000][265/535][123054] Loss_D: -0.020863 Loss_G: 0.013697 Loss_D_real: -0.030852 Loss_D_fake -0.009989
[1193/5000][270/535][123055] Loss_D: -0.020528 Loss_G: -0.014052 Loss_D_real: -0.006518 Loss_D_fake 0.014010
[1193/5000][275/535][123056] Loss_D: -0.021894 Loss_G: 0.004470 Loss_D_real: -0.010739 Loss_D_fake 0.011156
[1193/5000][280/535][123057] Loss_D: -0.020360 Loss_G: 0.004488 Loss_D_real: -0.010765 Loss_D_fake 0.009594
[1193/5000][285/535][123058] Loss_D: -0.020946 Loss_G: 0.009220 Loss_D_real: -0.013273 Loss_D_fake 0.007673
[1193/5000][290/535][123059] Loss_D: -0.020012 Loss_G: 0.006430 Loss_D_real: -0.011925 Loss_D_fake 0.008087
[1193/5000][295/535][123060] Loss_D: -0.019580 Loss_G: 0.007743 Loss_D_real: -0.011476 Loss_D_fake 0.008104
[1193/5000][300/535][123061] Loss_D: -0.020810 Loss_G: -0.011885 Loss_D_real: -0.006543 Loss_D_fake 0.014267
[1193/5000][305/535][123062] Loss_D: -0.020485 Loss_G: 0.002214 Loss_D_real: -0.011296 Loss_D_fake 0.009189
[1193/5000][310/535][123063] Loss_D: -0.020027 Loss_G: -0.003268 Loss_D_real: -0.006281 Loss_D_fake 0.013747
[1193/5000][315/535][123064] Loss_D: -0.018974 Loss_G: 0.020382 Loss_D_real: -0.024985 Loss_D_fake -0.006011
[1193/5000][320/535][123065] Loss_D: -0.021232 Loss_G: -0.005397 Loss_D_real: -0.009642 Loss_D_fake 0.011590
[1193/5000][325/535][123066] Loss_D: -0.021617 Loss_G: -0.006831 Loss_D_real: -0.010794 Loss_D_fake 0.010823
[1193/5000][330/535][123067] Loss_D: -0.021781 Loss_G: 0.011683 Loss_D_real: -0.012015 Loss_D_fake 0.009766
[1193/5000][335/535][123068] Loss_D: -0.019477 Loss_G: -0.002441 Loss_D_real: -0.011235 Loss_D_fake 0.008241
[1193/5000][340/535][123069] Loss_D: -0.020272 Loss_G: 0.006722 Loss_D_real: -0.008672 Loss_D_fake 0.011600
[1193/5000][345/535][123070] Loss_D: -0.019552 Loss_G: 0.021882 Loss_D_real: -0.029852 Loss_D_fake -0.010300
[1193/5000][350/535][123071] Loss_D: -0.019641 Loss_G: 0.006563 Loss_D_real: -0.019777 Loss_D_fake -0.000135
[1193/5000][355/535][123072] Loss_D: -0.020031 Loss_G: -0.002296 Loss_D_real: -0.010675 Loss_D_fake 0.009356
[1193/5000][360/535][123073] Loss_D: -0.022114 Loss_G: 0.016284 Loss_D_real: -0.025961 Loss_D_fake -0.003846
[1193/5000][365/535][123074] Loss_D: -0.022614 Loss_G: -0.002436 Loss_D_real: -0.014701 Loss_D_fake 0.007913
[1193/5000][370/535][123075] Loss_D: -0.019510 Loss_G: 0.017119 Loss_D_real: -0.034528 Loss_D_fake -0.015017
[1193/5000][375/535][123076] Loss_D: -0.019740 Loss_G: -0.010157 Loss_D_real: -0.011617 Loss_D_fake 0.008123
[1193/5000][380/535][123077] Loss_D: -0.021081 Loss_G: 0.008573 Loss_D_real: -0.019847 Loss_D_fake 0.001234
[1193/5000][385/535][123078] Loss_D: -0.020179 Loss_G: 0.021732 Loss_D_real: -0.022075 Loss_D_fake -0.001896
[1193/5000][390/535][123079] Loss_D: -0.021927 Loss_G: 0.008117 Loss_D_real: -0.000345 Loss_D_fake 0.021583
[1193/5000][395/535][123080] Loss_D: -0.019805 Loss_G: 0.004828 Loss_D_real: -0.014278 Loss_D_fake 0.005526
[1193/5000][400/535][123081] Loss_D: -0.020497 Loss_G: 0.004760 Loss_D_real: -0.026900 Loss_D_fake -0.006403
[1193/5000][405/535][123082] Loss_D: -0.021469 Loss_G: 0.010977 Loss_D_real: -0.024424 Loss_D_fake -0.002955
[1193/5000][410/535][123083] Loss_D: -0.019435 Loss_G: 0.016533 Loss_D_real: -0.018222 Loss_D_fake 0.001213
[1193/5000][415/535][123084] Loss_D: -0.019156 Loss_G: 0.019389 Loss_D_real: -0.026494 Loss_D_fake -0.007338
[1193/5000][420/535][123085] Loss_D: -0.018511 Loss_G: 0.009703 Loss_D_real: -0.019718 Loss_D_fake -0.001207
[1193/5000][425/535][123086] Loss_D: -0.021055 Loss_G: 0.008261 Loss_D_real: -0.014270 Loss_D_fake 0.006785
[1193/5000][430/535][123087] Loss_D: -0.021617 Loss_G: 0.013592 Loss_D_real: -0.016882 Loss_D_fake 0.004735
[1193/5000][435/535][123088] Loss_D: -0.020883 Loss_G: 0.002450 Loss_D_real: -0.027715 Loss_D_fake -0.006832
[1193/5000][440/535][123089] Loss_D: -0.020583 Loss_G: 0.013036 Loss_D_real: -0.019213 Loss_D_fake 0.001370
[1193/5000][445/535][123090] Loss_D: -0.019689 Loss_G: -0.007822 Loss_D_real: -0.013130 Loss_D_fake 0.006559
[1193/5000][450/535][123091] Loss_D: -0.020050 Loss_G: 0.029473 Loss_D_real: -0.031116 Loss_D_fake -0.011066
[1193/5000][455/535][123092] Loss_D: -0.020850 Loss_G: 0.003071 Loss_D_real: -0.011529 Loss_D_fake 0.009321
[1193/5000][460/535][123093] Loss_D: -0.020400 Loss_G: 0.022646 Loss_D_real: -0.019250 Loss_D_fake 0.001151
[1193/5000][465/535][123094] Loss_D: -0.020872 Loss_G: 0.014714 Loss_D_real: -0.024893 Loss_D_fake -0.004021
[1193/5000][470/535][123095] Loss_D: -0.021201 Loss_G: -0.001869 Loss_D_real: -0.030891 Loss_D_fake -0.009690
[1193/5000][475/535][123096] Loss_D: -0.020092 Loss_G: 0.010579 Loss_D_real: -0.014342 Loss_D_fake 0.005751
[1193/5000][480/535][123097] Loss_D: -0.019684 Loss_G: -0.000524 Loss_D_real: -0.012032 Loss_D_fake 0.007652
[1193/5000][485/535][123098] Loss_D: -0.020418 Loss_G: -0.000890 Loss_D_real: -0.016341 Loss_D_fake 0.004077
[1193/5000][490/535][123099] Loss_D: -0.021773 Loss_G: -0.002668 Loss_D_real: -0.013491 Loss_D_fake 0.008282
[1193/5000][495/535][123100] Loss_D: -0.020201 Loss_G: 0.001236 Loss_D_real: -0.013144 Loss_D_fake 0.007057
[1193/5000][500/535][123101] Loss_D: -0.020580 Loss_G: 0.019154 Loss_D_real: -0.030950 Loss_D_fake -0.010371
[1193/5000][505/535][123102] Loss_D: -0.021461 Loss_G: 0.017335 Loss_D_real: -0.020396 Loss_D_fake 0.001065
[1193/5000][510/535][123103] Loss_D: -0.018085 Loss_G: 0.032189 Loss_D_real: -0.031861 Loss_D_fake -0.013776
[1193/5000][515/535][123104] Loss_D: -0.020808 Loss_G: 0.009056 Loss_D_real: -0.013255 Loss_D_fake 0.007552
[1193/5000][520/535][123105] Loss_D: -0.020610 Loss_G: 0.001342 Loss_D_real: -0.012249 Loss_D_fake 0.008360
[1193/5000][525/535][123106] Loss_D: -0.019275 Loss_G: 0.019212 Loss_D_real: -0.025365 Loss_D_fake -0.006090
[1193/5000][530/535][123107] Loss_D: -0.021070 Loss_G: 0.005456 Loss_D_real: -0.009184 Loss_D_fake 0.011886
[1193/5000][535/535][123108] Loss_D: -0.021413 Loss_G: 0.023286 Loss_D_real: -0.006048 Loss_D_fake 0.015365
[1194/5000][5/535][123109] Loss_D: -0.021028 Loss_G: 0.021100 Loss_D_real: -0.034797 Loss_D_fake -0.013769
[1194/5000][10/535][123110] Loss_D: -0.020204 Loss_G: 0.013068 Loss_D_real: -0.019106 Loss_D_fake 0.001098
[1194/5000][15/535][123111] Loss_D: -0.021587 Loss_G: -0.004077 Loss_D_real: -0.029097 Loss_D_fake -0.007510
[1194/5000][20/535][123112] Loss_D: -0.020251 Loss_G: 0.003528 Loss_D_real: -0.005499 Loss_D_fake 0.014752
[1194/5000][25/535][123113] Loss_D: -0.021216 Loss_G: 0.016503 Loss_D_real: -0.023982 Loss_D_fake -0.002766
[1194/5000][30/535][123114] Loss_D: -0.022389 Loss_G: 0.006008 Loss_D_real: -0.011403 Loss_D_fake 0.010986
[1194/5000][35/535][123115] Loss_D: -0.020445 Loss_G: 0.016406 Loss_D_real: -0.039826 Loss_D_fake -0.019381
[1194/5000][40/535][123116] Loss_D: -0.020403 Loss_G: -0.002412 Loss_D_real: -0.017371 Loss_D_fake 0.003033
[1194/5000][45/535][123117] Loss_D: -0.019833 Loss_G: -0.005259 Loss_D_real: -0.007540 Loss_D_fake 0.012293
[1194/5000][50/535][123118] Loss_D: -0.020023 Loss_G: 0.003733 Loss_D_real: -0.016021 Loss_D_fake 0.004002
[1194/5000][55/535][123119] Loss_D: -0.021867 Loss_G: -0.012189 Loss_D_real: -0.014845 Loss_D_fake 0.007022
[1194/5000][60/535][123120] Loss_D: -0.019763 Loss_G: 0.008632 Loss_D_real: -0.018880 Loss_D_fake 0.000883
[1194/5000][65/535][123121] Loss_D: -0.020639 Loss_G: 0.005602 Loss_D_real: -0.021652 Loss_D_fake -0.001014
[1194/5000][70/535][123122] Loss_D: -0.021226 Loss_G: 0.004858 Loss_D_real: -0.018442 Loss_D_fake 0.002783
[1194/5000][75/535][123123] Loss_D: -0.021084 Loss_G: 0.002967 Loss_D_real: -0.011417 Loss_D_fake 0.009667
[1194/5000][80/535][123124] Loss_D: -0.020328 Loss_G: 0.020133 Loss_D_real: -0.019698 Loss_D_fake 0.000630
[1194/5000][85/535][123125] Loss_D: -0.020212 Loss_G: -0.008954 Loss_D_real: -0.003408 Loss_D_fake 0.016803
[1194/5000][90/535][123126] Loss_D: -0.021169 Loss_G: 0.010204 Loss_D_real: -0.018652 Loss_D_fake 0.002517
[1194/5000][95/535][123127] Loss_D: -0.019776 Loss_G: -0.010196 Loss_D_real: -0.005082 Loss_D_fake 0.014694
[1194/5000][100/535][123128] Loss_D: -0.020791 Loss_G: -0.004954 Loss_D_real: -0.002288 Loss_D_fake 0.018503
[1194/5000][105/535][123129] Loss_D: -0.019048 Loss_G: -0.006066 Loss_D_real: 0.006608 Loss_D_fake 0.025656
[1194/5000][110/535][123130] Loss_D: -0.019320 Loss_G: -0.004717 Loss_D_real: -0.014796 Loss_D_fake 0.004524
[1194/5000][115/535][123131] Loss_D: -0.020867 Loss_G: 0.004932 Loss_D_real: -0.018087 Loss_D_fake 0.002780
[1194/5000][120/535][123132] Loss_D: -0.018980 Loss_G: 0.022350 Loss_D_real: -0.022646 Loss_D_fake -0.003666
[1194/5000][125/535][123133] Loss_D: -0.021134 Loss_G: -0.007003 Loss_D_real: -0.001668 Loss_D_fake 0.019466
[1194/5000][130/535][123134] Loss_D: -0.019328 Loss_G: 0.026652 Loss_D_real: -0.024399 Loss_D_fake -0.005072
[1194/5000][135/535][123135] Loss_D: -0.020532 Loss_G: -0.001054 Loss_D_real: -0.007921 Loss_D_fake 0.012610
[1194/5000][140/535][123136] Loss_D: -0.019816 Loss_G: 0.015878 Loss_D_real: -0.036172 Loss_D_fake -0.016356
[1194/5000][145/535][123137] Loss_D: -0.020363 Loss_G: -0.005653 Loss_D_real: -0.007753 Loss_D_fake 0.012610
[1194/5000][150/535][123138] Loss_D: -0.018617 Loss_G: 0.017816 Loss_D_real: -0.030449 Loss_D_fake -0.011832
[1194/5000][155/535][123139] Loss_D: -0.019435 Loss_G: 0.019535 Loss_D_real: -0.032884 Loss_D_fake -0.013449
[1194/5000][160/535][123140] Loss_D: -0.020973 Loss_G: 0.012363 Loss_D_real: -0.024614 Loss_D_fake -0.003641
[1194/5000][165/535][123141] Loss_D: -0.020100 Loss_G: -0.001603 Loss_D_real: -0.015947 Loss_D_fake 0.004153
[1194/5000][170/535][123142] Loss_D: -0.019500 Loss_G: 0.021955 Loss_D_real: -0.031583 Loss_D_fake -0.012083
[1194/5000][175/535][123143] Loss_D: -0.019572 Loss_G: 0.018026 Loss_D_real: -0.010407 Loss_D_fake 0.009165
[1194/5000][180/535][123144] Loss_D: -0.020081 Loss_G: 0.027655 Loss_D_real: -0.032374 Loss_D_fake -0.012294
[1194/5000][185/535][123145] Loss_D: -0.021954 Loss_G: 0.006302 Loss_D_real: -0.013378 Loss_D_fake 0.008576
[1194/5000][190/535][123146] Loss_D: -0.021478 Loss_G: 0.001149 Loss_D_real: -0.017693 Loss_D_fake 0.003784
[1194/5000][195/535][123147] Loss_D: -0.020745 Loss_G: 0.001140 Loss_D_real: -0.021482 Loss_D_fake -0.000737
[1194/5000][200/535][123148] Loss_D: -0.020680 Loss_G: 0.000285 Loss_D_real: -0.022139 Loss_D_fake -0.001459
[1194/5000][205/535][123149] Loss_D: -0.020477 Loss_G: -0.000092 Loss_D_real: -0.008526 Loss_D_fake 0.011952
[1194/5000][210/535][123150] Loss_D: -0.019665 Loss_G: 0.018419 Loss_D_real: -0.038963 Loss_D_fake -0.019297
[1194/5000][215/535][123151] Loss_D: -0.021344 Loss_G: 0.006715 Loss_D_real: -0.022349 Loss_D_fake -0.001006
[1194/5000][220/535][123152] Loss_D: -0.020845 Loss_G: 0.013958 Loss_D_real: -0.012550 Loss_D_fake 0.008295
[1194/5000][225/535][123153] Loss_D: -0.019122 Loss_G: 0.005155 Loss_D_real: -0.008595 Loss_D_fake 0.010527
[1194/5000][230/535][123154] Loss_D: -0.020797 Loss_G: 0.009650 Loss_D_real: -0.010001 Loss_D_fake 0.010796
[1194/5000][235/535][123155] Loss_D: -0.019736 Loss_G: 0.015587 Loss_D_real: -0.029960 Loss_D_fake -0.010225
[1194/5000][240/535][123156] Loss_D: -0.020887 Loss_G: 0.012993 Loss_D_real: -0.026186 Loss_D_fake -0.005299
[1194/5000][245/535][123157] Loss_D: -0.020856 Loss_G: -0.008885 Loss_D_real: 0.002191 Loss_D_fake 0.023047
[1194/5000][250/535][123158] Loss_D: -0.020687 Loss_G: 0.008156 Loss_D_real: -0.021415 Loss_D_fake -0.000728
[1194/5000][255/535][123159] Loss_D: -0.021682 Loss_G: 0.015478 Loss_D_real: -0.031937 Loss_D_fake -0.010255
[1194/5000][260/535][123160] Loss_D: -0.021993 Loss_G: 0.005613 Loss_D_real: -0.014147 Loss_D_fake 0.007847
[1194/5000][265/535][123161] Loss_D: -0.021143 Loss_G: 0.011687 Loss_D_real: -0.019859 Loss_D_fake 0.001284
[1194/5000][270/535][123162] Loss_D: -0.022563 Loss_G: 0.012171 Loss_D_real: -0.006463 Loss_D_fake 0.016100
[1194/5000][275/535][123163] Loss_D: -0.021389 Loss_G: 0.000997 Loss_D_real: -0.021223 Loss_D_fake 0.000167
[1194/5000][280/535][123164] Loss_D: -0.020500 Loss_G: -0.006817 Loss_D_real: -0.002191 Loss_D_fake 0.018309
[1194/5000][285/535][123165] Loss_D: -0.020437 Loss_G: 0.008816 Loss_D_real: -0.022583 Loss_D_fake -0.002147
[1194/5000][290/535][123166] Loss_D: -0.019361 Loss_G: 0.010020 Loss_D_real: -0.024946 Loss_D_fake -0.005585
[1194/5000][295/535][123167] Loss_D: -0.020188 Loss_G: 0.011272 Loss_D_real: -0.025059 Loss_D_fake -0.004871
[1194/5000][300/535][123168] Loss_D: -0.020547 Loss_G: -0.004254 Loss_D_real: -0.010167 Loss_D_fake 0.010380
[1194/5000][305/535][123169] Loss_D: -0.020260 Loss_G: 0.015977 Loss_D_real: -0.020156 Loss_D_fake 0.000105
[1194/5000][310/535][123170] Loss_D: -0.019295 Loss_G: 0.000927 Loss_D_real: -0.017686 Loss_D_fake 0.001609
[1194/5000][315/535][123171] Loss_D: -0.019861 Loss_G: 0.014466 Loss_D_real: -0.013229 Loss_D_fake 0.006632
[1194/5000][320/535][123172] Loss_D: -0.020819 Loss_G: -0.004086 Loss_D_real: -0.004639 Loss_D_fake 0.016180
[1194/5000][325/535][123173] Loss_D: -0.019187 Loss_G: 0.015892 Loss_D_real: -0.018045 Loss_D_fake 0.001142
[1194/5000][330/535][123174] Loss_D: -0.021055 Loss_G: -0.001561 Loss_D_real: -0.016883 Loss_D_fake 0.004172
[1194/5000][335/535][123175] Loss_D: -0.020654 Loss_G: -0.010249 Loss_D_real: -0.011692 Loss_D_fake 0.008961
[1194/5000][340/535][123176] Loss_D: -0.021536 Loss_G: 0.007139 Loss_D_real: -0.016678 Loss_D_fake 0.004858
[1194/5000][345/535][123177] Loss_D: -0.020087 Loss_G: 0.020435 Loss_D_real: -0.027803 Loss_D_fake -0.007716
[1194/5000][350/535][123178] Loss_D: -0.019996 Loss_G: -0.010359 Loss_D_real: 0.001196 Loss_D_fake 0.021192
[1194/5000][355/535][123179] Loss_D: -0.019401 Loss_G: -0.008894 Loss_D_real: -0.003740 Loss_D_fake 0.015662
[1194/5000][360/535][123180] Loss_D: -0.021184 Loss_G: -0.000493 Loss_D_real: -0.020422 Loss_D_fake 0.000762
[1194/5000][365/535][123181] Loss_D: -0.020129 Loss_G: 0.011825 Loss_D_real: -0.024810 Loss_D_fake -0.004681
[1194/5000][370/535][123182] Loss_D: -0.020862 Loss_G: -0.004588 Loss_D_real: -0.008444 Loss_D_fake 0.012418
[1194/5000][375/535][123183] Loss_D: -0.020651 Loss_G: 0.000629 Loss_D_real: -0.001140 Loss_D_fake 0.019511
[1194/5000][380/535][123184] Loss_D: -0.021652 Loss_G: 0.013676 Loss_D_real: -0.022117 Loss_D_fake -0.000466
[1194/5000][385/535][123185] Loss_D: -0.021245 Loss_G: 0.009034 Loss_D_real: -0.020832 Loss_D_fake 0.000413
[1194/5000][390/535][123186] Loss_D: -0.020289 Loss_G: 0.026931 Loss_D_real: -0.018923 Loss_D_fake 0.001367
[1194/5000][395/535][123187] Loss_D: -0.021120 Loss_G: -0.010428 Loss_D_real: -0.003741 Loss_D_fake 0.017379
[1194/5000][400/535][123188] Loss_D: -0.021234 Loss_G: 0.025353 Loss_D_real: -0.029103 Loss_D_fake -0.007869
[1194/5000][405/535][123189] Loss_D: -0.020285 Loss_G: -0.006379 Loss_D_real: -0.012299 Loss_D_fake 0.007986
[1194/5000][410/535][123190] Loss_D: -0.021433 Loss_G: 0.014981 Loss_D_real: -0.020453 Loss_D_fake 0.000980
[1194/5000][415/535][123191] Loss_D: -0.021282 Loss_G: -0.014923 Loss_D_real: -0.013995 Loss_D_fake 0.007287
[1194/5000][420/535][123192] Loss_D: -0.019347 Loss_G: 0.005626 Loss_D_real: -0.016974 Loss_D_fake 0.002372
[1194/5000][425/535][123193] Loss_D: -0.020547 Loss_G: 0.000728 Loss_D_real: -0.014280 Loss_D_fake 0.006267
[1194/5000][430/535][123194] Loss_D: -0.020483 Loss_G: -0.001340 Loss_D_real: -0.022141 Loss_D_fake -0.001658
[1194/5000][435/535][123195] Loss_D: -0.020781 Loss_G: 0.008104 Loss_D_real: 0.004549 Loss_D_fake 0.025330
[1194/5000][440/535][123196] Loss_D: -0.019508 Loss_G: -0.006892 Loss_D_real: -0.006767 Loss_D_fake 0.012741
[1194/5000][445/535][123197] Loss_D: -0.022063 Loss_G: 0.023283 Loss_D_real: -0.026288 Loss_D_fake -0.004225
[1194/5000][450/535][123198] Loss_D: -0.021271 Loss_G: -0.005069 Loss_D_real: -0.013815 Loss_D_fake 0.007457
[1194/5000][455/535][123199] Loss_D: -0.021897 Loss_G: 0.018438 Loss_D_real: -0.016530 Loss_D_fake 0.005367
[1194/5000][460/535][123200] Loss_D: -0.021291 Loss_G: -0.005853 Loss_D_real: -0.014050 Loss_D_fake 0.007241
[1194/5000][465/535][123201] Loss_D: -0.021207 Loss_G: 0.014348 Loss_D_real: -0.026773 Loss_D_fake -0.005567
[1194/5000][470/535][123202] Loss_D: -0.020747 Loss_G: 0.002711 Loss_D_real: -0.015610 Loss_D_fake 0.005137
[1194/5000][475/535][123203] Loss_D: -0.019594 Loss_G: 0.017337 Loss_D_real: -0.029937 Loss_D_fake -0.010343
[1194/5000][480/535][123204] Loss_D: -0.019699 Loss_G: 0.010816 Loss_D_real: -0.024108 Loss_D_fake -0.004409
[1194/5000][485/535][123205] Loss_D: -0.019516 Loss_G: -0.021266 Loss_D_real: 0.002222 Loss_D_fake 0.021738
[1194/5000][490/535][123206] Loss_D: -0.021492 Loss_G: -0.001500 Loss_D_real: 0.000730 Loss_D_fake 0.022221
[1194/5000][495/535][123207] Loss_D: -0.019391 Loss_G: -0.002022 Loss_D_real: -0.014091 Loss_D_fake 0.005300
[1194/5000][500/535][123208] Loss_D: -0.019951 Loss_G: -0.007244 Loss_D_real: -0.017263 Loss_D_fake 0.002688
[1194/5000][505/535][123209] Loss_D: -0.020852 Loss_G: 0.002677 Loss_D_real: -0.022705 Loss_D_fake -0.001853
[1194/5000][510/535][123210] Loss_D: -0.020133 Loss_G: -0.005101 Loss_D_real: -0.011553 Loss_D_fake 0.008580
[1194/5000][515/535][123211] Loss_D: -0.020420 Loss_G: 0.021341 Loss_D_real: -0.025954 Loss_D_fake -0.005534
[1194/5000][520/535][123212] Loss_D: -0.021033 Loss_G: -0.002071 Loss_D_real: -0.008802 Loss_D_fake 0.012231
[1194/5000][525/535][123213] Loss_D: -0.020245 Loss_G: -0.000961 Loss_D_real: -0.003386 Loss_D_fake 0.016859
[1194/5000][530/535][123214] Loss_D: -0.020799 Loss_G: 0.022964 Loss_D_real: -0.018375 Loss_D_fake 0.002424
[1194/5000][535/535][123215] Loss_D: -0.022889 Loss_G: -0.004899 Loss_D_real: -0.039688 Loss_D_fake -0.016799
[1195/5000][5/535][123216] Loss_D: -0.020165 Loss_G: 0.022291 Loss_D_real: -0.042727 Loss_D_fake -0.022562
[1195/5000][10/535][123217] Loss_D: -0.020028 Loss_G: 0.023892 Loss_D_real: -0.029130 Loss_D_fake -0.009103
[1195/5000][15/535][123218] Loss_D: -0.019820 Loss_G: 0.029471 Loss_D_real: -0.019030 Loss_D_fake 0.000789
[1195/5000][20/535][123219] Loss_D: -0.019545 Loss_G: 0.022023 Loss_D_real: -0.022544 Loss_D_fake -0.002998
[1195/5000][25/535][123220] Loss_D: -0.020440 Loss_G: 0.013866 Loss_D_real: -0.024546 Loss_D_fake -0.004106
[1195/5000][30/535][123221] Loss_D: -0.020607 Loss_G: 0.023307 Loss_D_real: -0.025744 Loss_D_fake -0.005138
[1195/5000][35/535][123222] Loss_D: -0.021639 Loss_G: 0.005117 Loss_D_real: -0.018812 Loss_D_fake 0.002827
[1195/5000][40/535][123223] Loss_D: -0.021471 Loss_G: -0.002348 Loss_D_real: -0.011335 Loss_D_fake 0.010136
[1195/5000][45/535][123224] Loss_D: -0.021610 Loss_G: 0.005257 Loss_D_real: -0.021272 Loss_D_fake 0.000338
[1195/5000][50/535][123225] Loss_D: -0.020531 Loss_G: -0.005660 Loss_D_real: -0.005200 Loss_D_fake 0.015330
[1195/5000][55/535][123226] Loss_D: -0.020285 Loss_G: 0.008035 Loss_D_real: -0.007410 Loss_D_fake 0.012875
[1195/5000][60/535][123227] Loss_D: -0.021628 Loss_G: 0.004435 Loss_D_real: -0.012737 Loss_D_fake 0.008891
[1195/5000][65/535][123228] Loss_D: -0.019960 Loss_G: 0.015919 Loss_D_real: -0.031809 Loss_D_fake -0.011849
[1195/5000][70/535][123229] Loss_D: -0.020814 Loss_G: 0.027607 Loss_D_real: -0.030212 Loss_D_fake -0.009397
[1195/5000][75/535][123230] Loss_D: -0.019095 Loss_G: -0.003362 Loss_D_real: -0.011427 Loss_D_fake 0.007668
[1195/5000][80/535][123231] Loss_D: -0.018812 Loss_G: 0.023613 Loss_D_real: -0.028791 Loss_D_fake -0.009979
[1195/5000][85/535][123232] Loss_D: -0.019976 Loss_G: 0.013339 Loss_D_real: -0.024276 Loss_D_fake -0.004300
[1195/5000][90/535][123233] Loss_D: -0.020754 Loss_G: -0.000150 Loss_D_real: -0.015206 Loss_D_fake 0.005549
[1195/5000][95/535][123234] Loss_D: -0.020253 Loss_G: 0.001802 Loss_D_real: -0.022852 Loss_D_fake -0.002599
[1195/5000][100/535][123235] Loss_D: -0.021030 Loss_G: 0.017032 Loss_D_real: -0.012890 Loss_D_fake 0.008140
[1195/5000][105/535][123236] Loss_D: -0.019392 Loss_G: 0.002337 Loss_D_real: -0.023802 Loss_D_fake -0.004409
[1195/5000][110/535][123237] Loss_D: -0.020583 Loss_G: 0.020110 Loss_D_real: -0.031603 Loss_D_fake -0.011020
[1195/5000][115/535][123238] Loss_D: -0.020753 Loss_G: -0.016433 Loss_D_real: -0.006600 Loss_D_fake 0.014154
[1195/5000][120/535][123239] Loss_D: -0.020362 Loss_G: 0.017272 Loss_D_real: -0.017455 Loss_D_fake 0.002907
[1195/5000][125/535][123240] Loss_D: -0.018243 Loss_G: -0.014442 Loss_D_real: 0.000162 Loss_D_fake 0.018404
[1195/5000][130/535][123241] Loss_D: -0.019889 Loss_G: 0.005997 Loss_D_real: -0.021170 Loss_D_fake -0.001281
[1195/5000][135/535][123242] Loss_D: -0.019223 Loss_G: 0.007055 Loss_D_real: -0.019313 Loss_D_fake -0.000090
[1195/5000][140/535][123243] Loss_D: -0.019997 Loss_G: -0.009577 Loss_D_real: -0.004292 Loss_D_fake 0.015705
[1195/5000][145/535][123244] Loss_D: -0.019056 Loss_G: 0.011455 Loss_D_real: -0.018834 Loss_D_fake 0.000222
[1195/5000][150/535][123245] Loss_D: -0.019461 Loss_G: -0.002700 Loss_D_real: -0.016201 Loss_D_fake 0.003260
[1195/5000][155/535][123246] Loss_D: -0.022132 Loss_G: 0.007198 Loss_D_real: -0.005214 Loss_D_fake 0.016917
[1195/5000][160/535][123247] Loss_D: -0.021519 Loss_G: 0.005243 Loss_D_real: -0.024674 Loss_D_fake -0.003155
[1195/5000][165/535][123248] Loss_D: -0.020470 Loss_G: 0.014285 Loss_D_real: -0.027375 Loss_D_fake -0.006906
[1195/5000][170/535][123249] Loss_D: -0.021254 Loss_G: 0.011711 Loss_D_real: -0.022741 Loss_D_fake -0.001487
[1195/5000][175/535][123250] Loss_D: -0.019963 Loss_G: 0.020290 Loss_D_real: -0.025186 Loss_D_fake -0.005223
[1195/5000][180/535][123251] Loss_D: -0.020585 Loss_G: 0.002077 Loss_D_real: -0.011514 Loss_D_fake 0.009071
[1195/5000][185/535][123252] Loss_D: -0.020718 Loss_G: 0.002501 Loss_D_real: -0.018313 Loss_D_fake 0.002404
[1195/5000][190/535][123253] Loss_D: -0.021363 Loss_G: -0.000753 Loss_D_real: -0.016523 Loss_D_fake 0.004840
[1195/5000][195/535][123254] Loss_D: -0.020935 Loss_G: 0.004431 Loss_D_real: -0.014691 Loss_D_fake 0.006244
[1195/5000][200/535][123255] Loss_D: -0.021547 Loss_G: 0.000600 Loss_D_real: -0.026597 Loss_D_fake -0.005050
[1195/5000][205/535][123256] Loss_D: -0.020221 Loss_G: 0.001049 Loss_D_real: -0.015622 Loss_D_fake 0.004599
[1195/5000][210/535][123257] Loss_D: -0.020917 Loss_G: 0.008234 Loss_D_real: -0.020261 Loss_D_fake 0.000656
[1195/5000][215/535][123258] Loss_D: -0.020105 Loss_G: 0.009350 Loss_D_real: -0.020489 Loss_D_fake -0.000384
[1195/5000][220/535][123259] Loss_D: -0.020746 Loss_G: 0.028507 Loss_D_real: -0.020736 Loss_D_fake 0.000009
[1195/5000][225/535][123260] Loss_D: -0.018662 Loss_G: -0.011138 Loss_D_real: 0.000888 Loss_D_fake 0.019550
[1195/5000][230/535][123261] Loss_D: -0.019769 Loss_G: 0.005963 Loss_D_real: -0.013834 Loss_D_fake 0.005935
[1195/5000][235/535][123262] Loss_D: -0.020699 Loss_G: -0.009679 Loss_D_real: -0.000553 Loss_D_fake 0.020146
[1195/5000][240/535][123263] Loss_D: -0.019393 Loss_G: 0.019783 Loss_D_real: -0.027999 Loss_D_fake -0.008607
[1195/5000][245/535][123264] Loss_D: -0.021050 Loss_G: -0.001411 Loss_D_real: -0.014883 Loss_D_fake 0.006167
[1195/5000][250/535][123265] Loss_D: -0.020753 Loss_G: -0.004133 Loss_D_real: -0.009313 Loss_D_fake 0.011440
[1195/5000][255/535][123266] Loss_D: -0.020305 Loss_G: -0.007311 Loss_D_real: -0.010089 Loss_D_fake 0.010216
[1195/5000][260/535][123267] Loss_D: -0.019689 Loss_G: 0.022940 Loss_D_real: -0.031061 Loss_D_fake -0.011373
[1195/5000][265/535][123268] Loss_D: -0.020077 Loss_G: 0.028342 Loss_D_real: -0.029125 Loss_D_fake -0.009047
[1195/5000][270/535][123269] Loss_D: -0.019156 Loss_G: 0.013717 Loss_D_real: -0.013521 Loss_D_fake 0.005635
[1195/5000][275/535][123270] Loss_D: -0.020356 Loss_G: 0.022358 Loss_D_real: -0.023411 Loss_D_fake -0.003055
[1195/5000][280/535][123271] Loss_D: -0.021400 Loss_G: 0.017302 Loss_D_real: -0.015927 Loss_D_fake 0.005474
[1195/5000][285/535][123272] Loss_D: -0.020420 Loss_G: -0.002381 Loss_D_real: -0.014262 Loss_D_fake 0.006159
[1195/5000][290/535][123273] Loss_D: -0.020545 Loss_G: -0.004029 Loss_D_real: -0.005995 Loss_D_fake 0.014550
[1195/5000][295/535][123274] Loss_D: -0.017268 Loss_G: 0.021018 Loss_D_real: -0.037841 Loss_D_fake -0.020573
[1195/5000][300/535][123275] Loss_D: -0.019990 Loss_G: -0.003672 Loss_D_real: -0.011627 Loss_D_fake 0.008364
[1195/5000][305/535][123276] Loss_D: -0.019895 Loss_G: 0.015969 Loss_D_real: -0.024237 Loss_D_fake -0.004342
[1195/5000][310/535][123277] Loss_D: -0.018813 Loss_G: 0.024807 Loss_D_real: -0.029980 Loss_D_fake -0.011166
[1195/5000][315/535][123278] Loss_D: -0.021049 Loss_G: 0.003214 Loss_D_real: -0.008108 Loss_D_fake 0.012941
[1195/5000][320/535][123279] Loss_D: -0.020228 Loss_G: 0.008783 Loss_D_real: -0.019810 Loss_D_fake 0.000417
[1195/5000][325/535][123280] Loss_D: -0.020423 Loss_G: 0.004857 Loss_D_real: -0.014076 Loss_D_fake 0.006347
[1195/5000][330/535][123281] Loss_D: -0.019269 Loss_G: -0.006557 Loss_D_real: -0.012213 Loss_D_fake 0.007056
[1195/5000][335/535][123282] Loss_D: -0.020287 Loss_G: 0.019071 Loss_D_real: -0.024742 Loss_D_fake -0.004455
[1195/5000][340/535][123283] Loss_D: -0.020635 Loss_G: 0.022128 Loss_D_real: -0.029585 Loss_D_fake -0.008950
[1195/5000][345/535][123284] Loss_D: -0.020850 Loss_G: 0.009050 Loss_D_real: -0.023287 Loss_D_fake -0.002437
[1195/5000][350/535][123285] Loss_D: -0.019483 Loss_G: 0.017157 Loss_D_real: -0.028175 Loss_D_fake -0.008692
[1195/5000][355/535][123286] Loss_D: -0.021452 Loss_G: 0.016600 Loss_D_real: -0.025776 Loss_D_fake -0.004324
[1195/5000][360/535][123287] Loss_D: -0.022712 Loss_G: 0.017413 Loss_D_real: -0.026790 Loss_D_fake -0.004078
[1195/5000][365/535][123288] Loss_D: -0.021445 Loss_G: 0.001345 Loss_D_real: -0.020492 Loss_D_fake 0.000954
[1195/5000][370/535][123289] Loss_D: -0.020329 Loss_G: 0.008976 Loss_D_real: -0.028446 Loss_D_fake -0.008117
[1195/5000][375/535][123290] Loss_D: -0.022492 Loss_G: 0.018097 Loss_D_real: -0.017584 Loss_D_fake 0.004908
[1195/5000][380/535][123291] Loss_D: -0.019904 Loss_G: 0.002395 Loss_D_real: -0.014235 Loss_D_fake 0.005669
[1195/5000][385/535][123292] Loss_D: -0.020994 Loss_G: -0.006314 Loss_D_real: -0.001201 Loss_D_fake 0.019793
[1195/5000][390/535][123293] Loss_D: -0.020901 Loss_G: 0.007324 Loss_D_real: -0.000310 Loss_D_fake 0.020591
[1195/5000][395/535][123294] Loss_D: -0.020541 Loss_G: 0.013077 Loss_D_real: -0.028155 Loss_D_fake -0.007614
[1195/5000][400/535][123295] Loss_D: -0.020940 Loss_G: 0.015454 Loss_D_real: -0.025429 Loss_D_fake -0.004489
[1195/5000][405/535][123296] Loss_D: -0.020063 Loss_G: -0.002944 Loss_D_real: -0.014520 Loss_D_fake 0.005543
[1195/5000][410/535][123297] Loss_D: -0.019842 Loss_G: -0.005343 Loss_D_real: -0.005945 Loss_D_fake 0.013897
[1195/5000][415/535][123298] Loss_D: -0.019844 Loss_G: 0.012311 Loss_D_real: -0.030066 Loss_D_fake -0.010222
[1195/5000][420/535][123299] Loss_D: -0.018888 Loss_G: 0.002543 Loss_D_real: -0.022335 Loss_D_fake -0.003447
[1195/5000][425/535][123300] Loss_D: -0.020671 Loss_G: -0.008872 Loss_D_real: -0.016453 Loss_D_fake 0.004218
[1195/5000][430/535][123301] Loss_D: -0.020101 Loss_G: 0.011764 Loss_D_real: -0.024520 Loss_D_fake -0.004419
[1195/5000][435/535][123302] Loss_D: -0.019091 Loss_G: -0.014667 Loss_D_real: -0.013549 Loss_D_fake 0.005542
[1195/5000][440/535][123303] Loss_D: -0.018853 Loss_G: 0.021845 Loss_D_real: -0.039088 Loss_D_fake -0.020235
[1195/5000][445/535][123304] Loss_D: -0.020277 Loss_G: 0.017050 Loss_D_real: -0.016657 Loss_D_fake 0.003619
[1195/5000][450/535][123305] Loss_D: -0.021273 Loss_G: 0.005830 Loss_D_real: -0.027162 Loss_D_fake -0.005890
[1195/5000][455/535][123306] Loss_D: -0.020616 Loss_G: 0.018850 Loss_D_real: -0.036262 Loss_D_fake -0.015645
[1195/5000][460/535][123307] Loss_D: -0.020252 Loss_G: -0.016723 Loss_D_real: -0.006190 Loss_D_fake 0.014062
[1195/5000][465/535][123308] Loss_D: -0.021122 Loss_G: 0.027078 Loss_D_real: -0.019432 Loss_D_fake 0.001690
[1195/5000][470/535][123309] Loss_D: -0.021178 Loss_G: -0.005056 Loss_D_real: -0.014666 Loss_D_fake 0.006513
[1195/5000][475/535][123310] Loss_D: -0.019735 Loss_G: 0.015318 Loss_D_real: -0.031496 Loss_D_fake -0.011762
[1195/5000][480/535][123311] Loss_D: -0.018079 Loss_G: -0.011154 Loss_D_real: 0.007638 Loss_D_fake 0.025717
[1195/5000][485/535][123312] Loss_D: -0.019570 Loss_G: 0.000940 Loss_D_real: -0.019962 Loss_D_fake -0.000393
[1195/5000][490/535][123313] Loss_D: -0.019609 Loss_G: 0.022658 Loss_D_real: -0.018681 Loss_D_fake 0.000927
[1195/5000][495/535][123314] Loss_D: -0.020275 Loss_G: 0.015429 Loss_D_real: -0.019561 Loss_D_fake 0.000715
[1195/5000][500/535][123315] Loss_D: -0.019403 Loss_G: 0.001226 Loss_D_real: -0.023386 Loss_D_fake -0.003983
[1195/5000][505/535][123316] Loss_D: -0.020317 Loss_G: -0.003128 Loss_D_real: -0.016276 Loss_D_fake 0.004042
[1195/5000][510/535][123317] Loss_D: -0.019630 Loss_G: 0.004553 Loss_D_real: -0.022155 Loss_D_fake -0.002525
[1195/5000][515/535][123318] Loss_D: -0.021379 Loss_G: 0.012041 Loss_D_real: -0.014463 Loss_D_fake 0.006916
[1195/5000][520/535][123319] Loss_D: -0.021119 Loss_G: 0.000383 Loss_D_real: -0.000124 Loss_D_fake 0.020995
[1195/5000][525/535][123320] Loss_D: -0.021143 Loss_G: 0.002159 Loss_D_real: -0.023952 Loss_D_fake -0.002809
[1195/5000][530/535][123321] Loss_D: -0.020540 Loss_G: 0.014359 Loss_D_real: -0.017712 Loss_D_fake 0.002828
[1195/5000][535/535][123322] Loss_D: -0.016898 Loss_G: -0.018292 Loss_D_real: -0.011151 Loss_D_fake 0.005747
[1196/5000][5/535][123323] Loss_D: -0.019270 Loss_G: 0.018962 Loss_D_real: -0.017295 Loss_D_fake 0.001975
[1196/5000][10/535][123324] Loss_D: -0.020596 Loss_G: -0.003244 Loss_D_real: -0.012682 Loss_D_fake 0.007914
[1196/5000][15/535][123325] Loss_D: -0.021080 Loss_G: 0.016155 Loss_D_real: -0.022898 Loss_D_fake -0.001818
[1196/5000][20/535][123326] Loss_D: -0.020599 Loss_G: 0.015019 Loss_D_real: -0.029487 Loss_D_fake -0.008888
[1196/5000][25/535][123327] Loss_D: -0.020419 Loss_G: 0.009132 Loss_D_real: -0.023480 Loss_D_fake -0.003061
[1196/5000][30/535][123328] Loss_D: -0.020606 Loss_G: 0.016787 Loss_D_real: -0.029622 Loss_D_fake -0.009016
[1196/5000][35/535][123329] Loss_D: -0.020296 Loss_G: 0.008720 Loss_D_real: -0.018669 Loss_D_fake 0.001627
[1196/5000][40/535][123330] Loss_D: -0.020442 Loss_G: 0.013225 Loss_D_real: -0.021885 Loss_D_fake -0.001443
[1196/5000][45/535][123331] Loss_D: -0.020538 Loss_G: -0.009187 Loss_D_real: -0.004975 Loss_D_fake 0.015564
[1196/5000][50/535][123332] Loss_D: -0.019807 Loss_G: 0.007458 Loss_D_real: -0.017186 Loss_D_fake 0.002621
[1196/5000][55/535][123333] Loss_D: -0.019614 Loss_G: -0.015295 Loss_D_real: -0.001599 Loss_D_fake 0.018015
[1196/5000][60/535][123334] Loss_D: -0.021063 Loss_G: 0.008612 Loss_D_real: -0.013254 Loss_D_fake 0.007808
[1196/5000][65/535][123335] Loss_D: -0.020895 Loss_G: 0.005144 Loss_D_real: -0.013019 Loss_D_fake 0.007876
[1196/5000][70/535][123336] Loss_D: -0.021131 Loss_G: 0.007714 Loss_D_real: -0.015795 Loss_D_fake 0.005336
[1196/5000][75/535][123337] Loss_D: -0.020089 Loss_G: 0.017942 Loss_D_real: -0.020828 Loss_D_fake -0.000738
[1196/5000][80/535][123338] Loss_D: -0.019713 Loss_G: -0.008719 Loss_D_real: -0.001632 Loss_D_fake 0.018080
[1196/5000][85/535][123339] Loss_D: -0.020009 Loss_G: 0.005022 Loss_D_real: -0.016777 Loss_D_fake 0.003232
[1196/5000][90/535][123340] Loss_D: -0.020987 Loss_G: -0.003105 Loss_D_real: -0.010769 Loss_D_fake 0.010217
[1196/5000][95/535][123341] Loss_D: -0.020264 Loss_G: 0.011779 Loss_D_real: -0.025895 Loss_D_fake -0.005631
[1196/5000][100/535][123342] Loss_D: -0.019757 Loss_G: 0.001828 Loss_D_real: -0.016418 Loss_D_fake 0.003339
[1196/5000][105/535][123343] Loss_D: -0.020208 Loss_G: 0.008913 Loss_D_real: -0.023435 Loss_D_fake -0.003228
[1196/5000][110/535][123344] Loss_D: -0.019790 Loss_G: -0.010314 Loss_D_real: -0.008256 Loss_D_fake 0.011534
[1196/5000][115/535][123345] Loss_D: -0.018193 Loss_G: 0.035684 Loss_D_real: -0.026457 Loss_D_fake -0.008264
[1196/5000][120/535][123346] Loss_D: -0.020342 Loss_G: -0.003879 Loss_D_real: -0.027274 Loss_D_fake -0.006931
[1196/5000][125/535][123347] Loss_D: -0.021104 Loss_G: 0.002898 Loss_D_real: -0.028183 Loss_D_fake -0.007079
[1196/5000][130/535][123348] Loss_D: -0.020920 Loss_G: -0.005594 Loss_D_real: -0.022962 Loss_D_fake -0.002042
[1196/5000][135/535][123349] Loss_D: -0.019086 Loss_G: 0.021132 Loss_D_real: -0.025057 Loss_D_fake -0.005971
[1196/5000][140/535][123350] Loss_D: -0.019274 Loss_G: 0.003606 Loss_D_real: -0.009892 Loss_D_fake 0.009383
[1196/5000][145/535][123351] Loss_D: -0.020813 Loss_G: 0.021425 Loss_D_real: -0.013341 Loss_D_fake 0.007472
[1196/5000][150/535][123352] Loss_D: -0.021615 Loss_G: 0.004951 Loss_D_real: -0.019454 Loss_D_fake 0.002161
[1196/5000][155/535][123353] Loss_D: -0.021473 Loss_G: 0.004608 Loss_D_real: -0.015172 Loss_D_fake 0.006301
[1196/5000][160/535][123354] Loss_D: -0.019704 Loss_G: 0.010763 Loss_D_real: -0.029702 Loss_D_fake -0.009998
[1196/5000][165/535][123355] Loss_D: -0.020536 Loss_G: 0.009054 Loss_D_real: -0.012613 Loss_D_fake 0.007922
[1196/5000][170/535][123356] Loss_D: -0.019919 Loss_G: 0.019171 Loss_D_real: -0.035693 Loss_D_fake -0.015774
[1196/5000][175/535][123357] Loss_D: -0.020880 Loss_G: 0.010506 Loss_D_real: -0.020147 Loss_D_fake 0.000733
[1196/5000][180/535][123358] Loss_D: -0.021386 Loss_G: -0.010164 Loss_D_real: -0.013713 Loss_D_fake 0.007673
[1196/5000][185/535][123359] Loss_D: -0.020937 Loss_G: 0.008349 Loss_D_real: -0.025426 Loss_D_fake -0.004489
[1196/5000][190/535][123360] Loss_D: -0.020313 Loss_G: -0.015128 Loss_D_real: 0.003275 Loss_D_fake 0.023588
[1196/5000][195/535][123361] Loss_D: -0.019969 Loss_G: 0.017369 Loss_D_real: -0.013464 Loss_D_fake 0.006505
[1196/5000][200/535][123362] Loss_D: -0.020516 Loss_G: 0.000212 Loss_D_real: -0.014259 Loss_D_fake 0.006258
[1196/5000][205/535][123363] Loss_D: -0.020256 Loss_G: 0.015249 Loss_D_real: -0.014249 Loss_D_fake 0.006008
[1196/5000][210/535][123364] Loss_D: -0.020476 Loss_G: 0.007772 Loss_D_real: -0.025142 Loss_D_fake -0.004667
[1196/5000][215/535][123365] Loss_D: -0.019909 Loss_G: 0.003418 Loss_D_real: -0.032542 Loss_D_fake -0.012633
[1196/5000][220/535][123366] Loss_D: -0.019078 Loss_G: -0.009837 Loss_D_real: 0.004220 Loss_D_fake 0.023299
[1196/5000][225/535][123367] Loss_D: -0.021307 Loss_G: 0.023846 Loss_D_real: -0.022949 Loss_D_fake -0.001642
[1196/5000][230/535][123368] Loss_D: -0.019845 Loss_G: 0.017033 Loss_D_real: -0.026971 Loss_D_fake -0.007126
[1196/5000][235/535][123369] Loss_D: -0.020345 Loss_G: 0.008706 Loss_D_real: -0.019542 Loss_D_fake 0.000804
[1196/5000][240/535][123370] Loss_D: -0.022080 Loss_G: 0.004251 Loss_D_real: -0.025785 Loss_D_fake -0.003705
[1196/5000][245/535][123371] Loss_D: -0.020891 Loss_G: 0.005187 Loss_D_real: -0.015095 Loss_D_fake 0.005796
[1196/5000][250/535][123372] Loss_D: -0.021563 Loss_G: -0.002072 Loss_D_real: -0.020588 Loss_D_fake 0.000975
[1196/5000][255/535][123373] Loss_D: -0.020842 Loss_G: 0.011476 Loss_D_real: -0.022060 Loss_D_fake -0.001218
[1196/5000][260/535][123374] Loss_D: -0.020220 Loss_G: 0.004500 Loss_D_real: -0.017220 Loss_D_fake 0.003000
[1196/5000][265/535][123375] Loss_D: -0.020102 Loss_G: 0.018669 Loss_D_real: -0.020453 Loss_D_fake -0.000351
[1196/5000][270/535][123376] Loss_D: -0.021081 Loss_G: 0.012491 Loss_D_real: -0.021355 Loss_D_fake -0.000274
[1196/5000][275/535][123377] Loss_D: -0.020027 Loss_G: 0.019864 Loss_D_real: -0.017838 Loss_D_fake 0.002189
[1196/5000][280/535][123378] Loss_D: -0.020683 Loss_G: 0.002582 Loss_D_real: -0.017128 Loss_D_fake 0.003555
[1196/5000][285/535][123379] Loss_D: -0.022367 Loss_G: -0.000671 Loss_D_real: -0.008834 Loss_D_fake 0.013533
[1196/5000][290/535][123380] Loss_D: -0.018296 Loss_G: 0.020268 Loss_D_real: -0.026660 Loss_D_fake -0.008363
[1196/5000][295/535][123381] Loss_D: -0.021804 Loss_G: 0.019000 Loss_D_real: -0.015593 Loss_D_fake 0.006211
[1196/5000][300/535][123382] Loss_D: -0.023047 Loss_G: 0.004224 Loss_D_real: -0.021292 Loss_D_fake 0.001754
[1196/5000][305/535][123383] Loss_D: -0.020946 Loss_G: 0.009956 Loss_D_real: -0.024173 Loss_D_fake -0.003226
[1196/5000][310/535][123384] Loss_D: -0.021131 Loss_G: 0.013714 Loss_D_real: -0.024284 Loss_D_fake -0.003154
[1196/5000][315/535][123385] Loss_D: -0.019966 Loss_G: -0.011039 Loss_D_real: -0.010188 Loss_D_fake 0.009778
[1196/5000][320/535][123386] Loss_D: -0.020369 Loss_G: 0.015254 Loss_D_real: -0.024375 Loss_D_fake -0.004006
[1196/5000][325/535][123387] Loss_D: -0.020608 Loss_G: -0.014169 Loss_D_real: -0.005768 Loss_D_fake 0.014840
[1196/5000][330/535][123388] Loss_D: -0.020065 Loss_G: -0.002266 Loss_D_real: -0.012899 Loss_D_fake 0.007166
[1196/5000][335/535][123389] Loss_D: -0.020366 Loss_G: -0.010213 Loss_D_real: -0.004724 Loss_D_fake 0.015642
[1196/5000][340/535][123390] Loss_D: -0.020187 Loss_G: 0.001347 Loss_D_real: -0.009622 Loss_D_fake 0.010565
[1196/5000][345/535][123391] Loss_D: -0.018336 Loss_G: -0.001815 Loss_D_real: -0.007716 Loss_D_fake 0.010620
[1196/5000][350/535][123392] Loss_D: -0.019989 Loss_G: 0.001073 Loss_D_real: -0.011349 Loss_D_fake 0.008640
[1196/5000][355/535][123393] Loss_D: -0.020836 Loss_G: 0.012019 Loss_D_real: -0.014937 Loss_D_fake 0.005899
[1196/5000][360/535][123394] Loss_D: -0.021705 Loss_G: -0.003897 Loss_D_real: -0.006681 Loss_D_fake 0.015024
[1196/5000][365/535][123395] Loss_D: -0.019254 Loss_G: 0.018396 Loss_D_real: -0.023375 Loss_D_fake -0.004121
[1196/5000][370/535][123396] Loss_D: -0.021590 Loss_G: 0.007239 Loss_D_real: -0.021951 Loss_D_fake -0.000361
[1196/5000][375/535][123397] Loss_D: -0.019282 Loss_G: 0.001789 Loss_D_real: 0.002490 Loss_D_fake 0.021772
[1196/5000][380/535][123398] Loss_D: -0.021361 Loss_G: 0.005257 Loss_D_real: -0.019245 Loss_D_fake 0.002116
[1196/5000][385/535][123399] Loss_D: -0.020891 Loss_G: -0.012740 Loss_D_real: -0.000312 Loss_D_fake 0.020579
[1196/5000][390/535][123400] Loss_D: -0.019657 Loss_G: 0.018185 Loss_D_real: -0.022349 Loss_D_fake -0.002692
[1196/5000][395/535][123401] Loss_D: -0.021223 Loss_G: 0.012042 Loss_D_real: -0.019631 Loss_D_fake 0.001592
[1196/5000][400/535][123402] Loss_D: -0.022936 Loss_G: 0.002111 Loss_D_real: -0.015814 Loss_D_fake 0.007123
[1196/5000][405/535][123403] Loss_D: -0.021135 Loss_G: 0.014325 Loss_D_real: -0.011830 Loss_D_fake 0.009305
[1196/5000][410/535][123404] Loss_D: -0.020527 Loss_G: 0.006403 Loss_D_real: -0.020815 Loss_D_fake -0.000288
[1196/5000][415/535][123405] Loss_D: -0.018919 Loss_G: 0.018586 Loss_D_real: -0.031057 Loss_D_fake -0.012139
[1196/5000][420/535][123406] Loss_D: -0.019047 Loss_G: 0.009426 Loss_D_real: -0.029472 Loss_D_fake -0.010425
[1196/5000][425/535][123407] Loss_D: -0.020919 Loss_G: 0.024074 Loss_D_real: -0.022313 Loss_D_fake -0.001394
[1196/5000][430/535][123408] Loss_D: -0.020281 Loss_G: 0.018877 Loss_D_real: -0.046691 Loss_D_fake -0.026410
[1196/5000][435/535][123409] Loss_D: -0.020324 Loss_G: -0.007187 Loss_D_real: 0.000154 Loss_D_fake 0.020477
[1196/5000][440/535][123410] Loss_D: -0.019914 Loss_G: -0.007396 Loss_D_real: -0.006825 Loss_D_fake 0.013089
[1196/5000][445/535][123411] Loss_D: -0.019484 Loss_G: 0.016788 Loss_D_real: -0.035262 Loss_D_fake -0.015778
[1196/5000][450/535][123412] Loss_D: -0.020574 Loss_G: -0.004235 Loss_D_real: -0.013929 Loss_D_fake 0.006645
[1196/5000][455/535][123413] Loss_D: -0.023888 Loss_G: 0.011079 Loss_D_real: -0.021884 Loss_D_fake 0.002004
[1196/5000][460/535][123414] Loss_D: -0.019464 Loss_G: -0.011141 Loss_D_real: -0.007725 Loss_D_fake 0.011739
[1196/5000][465/535][123415] Loss_D: -0.022191 Loss_G: 0.004210 Loss_D_real: -0.008255 Loss_D_fake 0.013936
[1196/5000][470/535][123416] Loss_D: -0.020873 Loss_G: 0.010830 Loss_D_real: -0.016629 Loss_D_fake 0.004243
[1196/5000][475/535][123417] Loss_D: -0.019714 Loss_G: 0.004688 Loss_D_real: -0.012865 Loss_D_fake 0.006849
[1196/5000][480/535][123418] Loss_D: -0.020016 Loss_G: 0.022573 Loss_D_real: -0.024041 Loss_D_fake -0.004025
[1196/5000][485/535][123419] Loss_D: -0.019623 Loss_G: -0.013096 Loss_D_real: -0.007725 Loss_D_fake 0.011898
[1196/5000][490/535][123420] Loss_D: -0.019448 Loss_G: -0.001053 Loss_D_real: -0.011128 Loss_D_fake 0.008320
[1196/5000][495/535][123421] Loss_D: -0.020479 Loss_G: 0.008366 Loss_D_real: -0.023900 Loss_D_fake -0.003422
[1196/5000][500/535][123422] Loss_D: -0.021352 Loss_G: 0.013015 Loss_D_real: -0.031358 Loss_D_fake -0.010006
[1196/5000][505/535][123423] Loss_D: -0.022280 Loss_G: 0.016996 Loss_D_real: -0.016509 Loss_D_fake 0.005771
[1196/5000][510/535][123424] Loss_D: -0.020163 Loss_G: -0.009100 Loss_D_real: -0.010587 Loss_D_fake 0.009577
[1196/5000][515/535][123425] Loss_D: -0.018397 Loss_G: 0.027833 Loss_D_real: -0.018410 Loss_D_fake -0.000013
[1196/5000][520/535][123426] Loss_D: -0.019981 Loss_G: -0.011769 Loss_D_real: -0.010343 Loss_D_fake 0.009638
[1196/5000][525/535][123427] Loss_D: -0.019314 Loss_G: -0.000341 Loss_D_real: -0.016960 Loss_D_fake 0.002353
[1196/5000][530/535][123428] Loss_D: -0.020937 Loss_G: 0.013700 Loss_D_real: -0.020508 Loss_D_fake 0.000429
[1196/5000][535/535][123429] Loss_D: -0.018993 Loss_G: 0.020412 Loss_D_real: -0.017954 Loss_D_fake 0.001039
[1197/5000][5/535][123430] Loss_D: -0.021237 Loss_G: 0.009151 Loss_D_real: -0.008761 Loss_D_fake 0.012476
[1197/5000][10/535][123431] Loss_D: -0.019800 Loss_G: 0.009667 Loss_D_real: -0.024285 Loss_D_fake -0.004485
[1197/5000][15/535][123432] Loss_D: -0.020329 Loss_G: 0.000489 Loss_D_real: -0.011360 Loss_D_fake 0.008969
[1197/5000][20/535][123433] Loss_D: -0.020771 Loss_G: 0.003453 Loss_D_real: -0.026961 Loss_D_fake -0.006190
[1197/5000][25/535][123434] Loss_D: -0.020237 Loss_G: 0.020645 Loss_D_real: -0.027544 Loss_D_fake -0.007307
[1197/5000][30/535][123435] Loss_D: -0.020084 Loss_G: 0.016575 Loss_D_real: -0.016669 Loss_D_fake 0.003415
[1197/5000][35/535][123436] Loss_D: -0.022266 Loss_G: 0.009581 Loss_D_real: -0.018941 Loss_D_fake 0.003324
[1197/5000][40/535][123437] Loss_D: -0.020283 Loss_G: -0.021385 Loss_D_real: -0.007668 Loss_D_fake 0.012616
[1197/5000][45/535][123438] Loss_D: -0.020868 Loss_G: 0.021104 Loss_D_real: -0.021120 Loss_D_fake -0.000252
[1197/5000][50/535][123439] Loss_D: -0.021184 Loss_G: -0.000358 Loss_D_real: -0.027967 Loss_D_fake -0.006783
[1197/5000][55/535][123440] Loss_D: -0.020501 Loss_G: 0.001918 Loss_D_real: -0.013687 Loss_D_fake 0.006813
[1197/5000][60/535][123441] Loss_D: -0.020238 Loss_G: 0.012396 Loss_D_real: -0.017455 Loss_D_fake 0.002784
[1197/5000][65/535][123442] Loss_D: -0.020472 Loss_G: 0.015400 Loss_D_real: -0.013447 Loss_D_fake 0.007025
[1197/5000][70/535][123443] Loss_D: -0.021224 Loss_G: 0.014058 Loss_D_real: -0.034453 Loss_D_fake -0.013229
[1197/5000][75/535][123444] Loss_D: -0.021075 Loss_G: -0.008345 Loss_D_real: -0.009389 Loss_D_fake 0.011686
[1197/5000][80/535][123445] Loss_D: -0.020872 Loss_G: -0.000300 Loss_D_real: -0.013201 Loss_D_fake 0.007672
[1197/5000][85/535][123446] Loss_D: -0.020139 Loss_G: 0.022875 Loss_D_real: -0.030541 Loss_D_fake -0.010402
[1197/5000][90/535][123447] Loss_D: -0.018613 Loss_G: 0.020690 Loss_D_real: -0.038383 Loss_D_fake -0.019770
[1197/5000][95/535][123448] Loss_D: -0.020268 Loss_G: 0.004153 Loss_D_real: -0.016985 Loss_D_fake 0.003284
[1197/5000][100/535][123449] Loss_D: -0.020247 Loss_G: 0.004839 Loss_D_real: -0.010316 Loss_D_fake 0.009931
[1197/5000][105/535][123450] Loss_D: -0.020236 Loss_G: 0.000474 Loss_D_real: -0.017889 Loss_D_fake 0.002347
[1197/5000][110/535][123451] Loss_D: -0.019752 Loss_G: -0.005893 Loss_D_real: 0.003960 Loss_D_fake 0.023712
[1197/5000][115/535][123452] Loss_D: -0.020254 Loss_G: 0.020456 Loss_D_real: -0.025316 Loss_D_fake -0.005062
[1197/5000][120/535][123453] Loss_D: -0.020858 Loss_G: -0.002792 Loss_D_real: -0.007113 Loss_D_fake 0.013744
[1197/5000][125/535][123454] Loss_D: -0.020917 Loss_G: 0.005967 Loss_D_real: -0.012175 Loss_D_fake 0.008743
[1197/5000][130/535][123455] Loss_D: -0.021036 Loss_G: 0.001583 Loss_D_real: -0.007648 Loss_D_fake 0.013389
[1197/5000][135/535][123456] Loss_D: -0.020207 Loss_G: 0.013088 Loss_D_real: -0.026553 Loss_D_fake -0.006347
[1197/5000][140/535][123457] Loss_D: -0.020968 Loss_G: 0.004592 Loss_D_real: -0.017446 Loss_D_fake 0.003521
[1197/5000][145/535][123458] Loss_D: -0.021590 Loss_G: 0.017181 Loss_D_real: -0.024721 Loss_D_fake -0.003131
[1197/5000][150/535][123459] Loss_D: -0.020739 Loss_G: 0.006148 Loss_D_real: -0.025946 Loss_D_fake -0.005207
[1197/5000][155/535][123460] Loss_D: -0.020578 Loss_G: 0.001425 Loss_D_real: -0.017318 Loss_D_fake 0.003259
[1197/5000][160/535][123461] Loss_D: -0.020439 Loss_G: 0.013081 Loss_D_real: -0.010867 Loss_D_fake 0.009573
[1197/5000][165/535][123462] Loss_D: -0.021062 Loss_G: 0.007361 Loss_D_real: -0.024246 Loss_D_fake -0.003184
[1197/5000][170/535][123463] Loss_D: -0.019563 Loss_G: -0.012942 Loss_D_real: -0.001624 Loss_D_fake 0.017939
[1197/5000][175/535][123464] Loss_D: -0.021172 Loss_G: 0.006567 Loss_D_real: -0.008199 Loss_D_fake 0.012974
[1197/5000][180/535][123465] Loss_D: -0.020576 Loss_G: -0.013870 Loss_D_real: -0.003304 Loss_D_fake 0.017272
[1197/5000][185/535][123466] Loss_D: -0.018846 Loss_G: 0.012209 Loss_D_real: -0.030401 Loss_D_fake -0.011555
[1197/5000][190/535][123467] Loss_D: -0.020394 Loss_G: 0.011584 Loss_D_real: -0.016340 Loss_D_fake 0.004054
[1197/5000][195/535][123468] Loss_D: -0.020017 Loss_G: 0.004981 Loss_D_real: -0.008667 Loss_D_fake 0.011350
[1197/5000][200/535][123469] Loss_D: -0.020521 Loss_G: -0.003408 Loss_D_real: -0.013794 Loss_D_fake 0.006726
[1197/5000][205/535][123470] Loss_D: -0.018977 Loss_G: 0.025695 Loss_D_real: -0.023861 Loss_D_fake -0.004884
[1197/5000][210/535][123471] Loss_D: -0.020157 Loss_G: 0.001337 Loss_D_real: -0.021986 Loss_D_fake -0.001829
[1197/5000][215/535][123472] Loss_D: -0.021053 Loss_G: 0.023176 Loss_D_real: -0.023552 Loss_D_fake -0.002499
[1197/5000][220/535][123473] Loss_D: -0.020453 Loss_G: 0.002745 Loss_D_real: -0.012259 Loss_D_fake 0.008194
[1197/5000][225/535][123474] Loss_D: -0.020116 Loss_G: 0.002095 Loss_D_real: -0.015791 Loss_D_fake 0.004325
[1197/5000][230/535][123475] Loss_D: -0.018806 Loss_G: 0.033839 Loss_D_real: -0.027701 Loss_D_fake -0.008895
[1197/5000][235/535][123476] Loss_D: -0.020750 Loss_G: 0.009371 Loss_D_real: -0.032136 Loss_D_fake -0.011386
[1197/5000][240/535][123477] Loss_D: -0.020192 Loss_G: 0.024545 Loss_D_real: -0.028468 Loss_D_fake -0.008275
[1197/5000][245/535][123478] Loss_D: -0.020494 Loss_G: -0.007115 Loss_D_real: -0.008671 Loss_D_fake 0.011823
[1197/5000][250/535][123479] Loss_D: -0.020505 Loss_G: 0.022716 Loss_D_real: -0.020140 Loss_D_fake 0.000365
[1197/5000][255/535][123480] Loss_D: -0.020678 Loss_G: 0.010150 Loss_D_real: -0.032317 Loss_D_fake -0.011639
[1197/5000][260/535][123481] Loss_D: -0.021307 Loss_G: -0.002471 Loss_D_real: -0.012711 Loss_D_fake 0.008597
[1197/5000][265/535][123482] Loss_D: -0.020571 Loss_G: -0.010930 Loss_D_real: -0.022999 Loss_D_fake -0.002428
[1197/5000][270/535][123483] Loss_D: -0.020636 Loss_G: 0.005847 Loss_D_real: -0.005161 Loss_D_fake 0.015475
[1197/5000][275/535][123484] Loss_D: -0.019851 Loss_G: -0.004619 Loss_D_real: -0.002653 Loss_D_fake 0.017198
[1197/5000][280/535][123485] Loss_D: -0.021122 Loss_G: 0.007988 Loss_D_real: -0.015710 Loss_D_fake 0.005412
[1197/5000][285/535][123486] Loss_D: -0.020377 Loss_G: 0.015130 Loss_D_real: -0.020780 Loss_D_fake -0.000403
[1197/5000][290/535][123487] Loss_D: -0.019597 Loss_G: -0.002097 Loss_D_real: -0.003007 Loss_D_fake 0.016590
[1197/5000][295/535][123488] Loss_D: -0.019995 Loss_G: 0.000174 Loss_D_real: -0.004531 Loss_D_fake 0.015464
[1197/5000][300/535][123489] Loss_D: -0.020122 Loss_G: 0.004570 Loss_D_real: -0.012611 Loss_D_fake 0.007511
[1197/5000][305/535][123490] Loss_D: -0.020693 Loss_G: 0.013856 Loss_D_real: -0.017141 Loss_D_fake 0.003551
[1197/5000][310/535][123491] Loss_D: -0.019552 Loss_G: -0.003289 Loss_D_real: -0.010237 Loss_D_fake 0.009315
[1197/5000][315/535][123492] Loss_D: -0.018988 Loss_G: -0.006978 Loss_D_real: 0.001110 Loss_D_fake 0.020098
[1197/5000][320/535][123493] Loss_D: -0.020255 Loss_G: 0.010939 Loss_D_real: -0.022614 Loss_D_fake -0.002359
[1197/5000][325/535][123494] Loss_D: -0.019974 Loss_G: 0.011608 Loss_D_real: -0.025011 Loss_D_fake -0.005037
[1197/5000][330/535][123495] Loss_D: -0.020977 Loss_G: 0.015092 Loss_D_real: -0.014680 Loss_D_fake 0.006297
[1197/5000][335/535][123496] Loss_D: -0.018303 Loss_G: 0.031405 Loss_D_real: -0.030078 Loss_D_fake -0.011775
[1197/5000][340/535][123497] Loss_D: -0.020635 Loss_G: -0.002581 Loss_D_real: -0.010505 Loss_D_fake 0.010130
[1197/5000][345/535][123498] Loss_D: -0.020851 Loss_G: 0.014490 Loss_D_real: -0.026673 Loss_D_fake -0.005822
[1197/5000][350/535][123499] Loss_D: -0.021646 Loss_G: 0.000702 Loss_D_real: -0.027566 Loss_D_fake -0.005920
[1197/5000][355/535][123500] Loss_D: -0.020372 Loss_G: 0.014421 Loss_D_real: -0.031723 Loss_D_fake -0.011351
[1197/5000][455/535][123501] Loss_D: -0.022247 Loss_G: 0.008637 Loss_D_real: -0.027533 Loss_D_fake -0.005286
[1197/5000][460/535][123502] Loss_D: -0.021876 Loss_G: 0.015024 Loss_D_real: -0.020871 Loss_D_fake 0.001006
[1197/5000][465/535][123503] Loss_D: -0.020560 Loss_G: -0.006398 Loss_D_real: -0.025470 Loss_D_fake -0.004911
[1197/5000][470/535][123504] Loss_D: -0.018622 Loss_G: 0.008233 Loss_D_real: -0.033280 Loss_D_fake -0.014658
[1197/5000][475/535][123505] Loss_D: -0.018963 Loss_G: 0.002271 Loss_D_real: -0.015314 Loss_D_fake 0.003649
[1197/5000][480/535][123506] Loss_D: -0.019064 Loss_G: -0.009935 Loss_D_real: 0.011285 Loss_D_fake 0.030350
[1197/5000][485/535][123507] Loss_D: -0.020238 Loss_G: 0.004943 Loss_D_real: -0.010128 Loss_D_fake 0.010110
[1197/5000][490/535][123508] Loss_D: -0.019260 Loss_G: -0.001322 Loss_D_real: -0.007730 Loss_D_fake 0.011530
[1197/5000][495/535][123509] Loss_D: -0.019596 Loss_G: 0.009827 Loss_D_real: -0.017753 Loss_D_fake 0.001843
[1197/5000][500/535][123510] Loss_D: -0.019810 Loss_G: 0.011068 Loss_D_real: -0.012306 Loss_D_fake 0.007504
[1197/5000][505/535][123511] Loss_D: -0.019573 Loss_G: 0.000186 Loss_D_real: -0.010094 Loss_D_fake 0.009479
[1197/5000][510/535][123512] Loss_D: -0.019261 Loss_G: 0.007131 Loss_D_real: -0.013704 Loss_D_fake 0.005557
[1197/5000][515/535][123513] Loss_D: -0.018933 Loss_G: -0.013977 Loss_D_real: -0.006891 Loss_D_fake 0.012042
[1197/5000][520/535][123514] Loss_D: -0.020279 Loss_G: -0.000090 Loss_D_real: -0.020409 Loss_D_fake -0.000130
[1197/5000][525/535][123515] Loss_D: -0.020395 Loss_G: 0.003069 Loss_D_real: -0.004042 Loss_D_fake 0.016354
[1197/5000][530/535][123516] Loss_D: -0.020189 Loss_G: 0.010207 Loss_D_real: -0.020156 Loss_D_fake 0.000033
[1197/5000][535/535][123517] Loss_D: -0.018397 Loss_G: -0.038353 Loss_D_real: -0.006457 Loss_D_fake 0.011939
[1198/5000][5/535][123518] Loss_D: -0.019502 Loss_G: 0.018368 Loss_D_real: -0.022985 Loss_D_fake -0.003483
[1198/5000][10/535][123519] Loss_D: -0.020190 Loss_G: 0.017500 Loss_D_real: -0.032658 Loss_D_fake -0.012467
[1198/5000][15/535][123520] Loss_D: -0.020127 Loss_G: 0.022436 Loss_D_real: -0.024262 Loss_D_fake -0.004134
[1198/5000][20/535][123521] Loss_D: -0.021184 Loss_G: -0.012139 Loss_D_real: 0.002384 Loss_D_fake 0.023567
[1198/5000][25/535][123522] Loss_D: -0.021575 Loss_G: 0.005227 Loss_D_real: -0.018099 Loss_D_fake 0.003476
[1198/5000][30/535][123523] Loss_D: -0.019049 Loss_G: 0.012271 Loss_D_real: -0.028596 Loss_D_fake -0.009548
[1198/5000][35/535][123524] Loss_D: -0.020134 Loss_G: -0.001728 Loss_D_real: -0.009480 Loss_D_fake 0.010654
[1198/5000][40/535][123525] Loss_D: -0.019921 Loss_G: 0.002534 Loss_D_real: -0.017707 Loss_D_fake 0.002214
[1198/5000][45/535][123526] Loss_D: -0.020283 Loss_G: 0.011496 Loss_D_real: -0.016256 Loss_D_fake 0.004026
[1198/5000][50/535][123527] Loss_D: -0.020573 Loss_G: 0.018752 Loss_D_real: -0.021960 Loss_D_fake -0.001386
[1198/5000][55/535][123528] Loss_D: -0.020358 Loss_G: -0.008043 Loss_D_real: -0.009489 Loss_D_fake 0.010869
[1198/5000][60/535][123529] Loss_D: -0.018053 Loss_G: -0.004176 Loss_D_real: -0.019964 Loss_D_fake -0.001911
[1198/5000][65/535][123530] Loss_D: -0.020970 Loss_G: -0.001231 Loss_D_real: -0.015429 Loss_D_fake 0.005540
[1198/5000][70/535][123531] Loss_D: -0.019556 Loss_G: 0.014018 Loss_D_real: -0.022747 Loss_D_fake -0.003191
[1198/5000][75/535][123532] Loss_D: -0.020705 Loss_G: 0.012559 Loss_D_real: -0.014724 Loss_D_fake 0.005980
[1198/5000][80/535][123533] Loss_D: -0.019700 Loss_G: 0.015664 Loss_D_real: -0.033695 Loss_D_fake -0.013995
[1198/5000][85/535][123534] Loss_D: -0.020028 Loss_G: 0.016214 Loss_D_real: -0.019236 Loss_D_fake 0.000793
[1198/5000][90/535][123535] Loss_D: -0.020322 Loss_G: 0.012595 Loss_D_real: -0.009456 Loss_D_fake 0.010866
[1198/5000][95/535][123536] Loss_D: -0.021131 Loss_G: -0.018957 Loss_D_real: -0.008200 Loss_D_fake 0.012931
[1198/5000][100/535][123537] Loss_D: -0.019006 Loss_G: 0.013788 Loss_D_real: -0.019905 Loss_D_fake -0.000899
[1198/5000][105/535][123538] Loss_D: -0.020203 Loss_G: -0.009343 Loss_D_real: -0.015897 Loss_D_fake 0.004306
[1198/5000][110/535][123539] Loss_D: -0.019506 Loss_G: 0.001476 Loss_D_real: -0.011993 Loss_D_fake 0.007514
[1198/5000][115/535][123540] Loss_D: -0.021032 Loss_G: 0.025590 Loss_D_real: -0.025836 Loss_D_fake -0.004804
[1198/5000][120/535][123541] Loss_D: -0.019933 Loss_G: 0.012023 Loss_D_real: -0.025930 Loss_D_fake -0.005998
[1198/5000][125/535][123542] Loss_D: -0.019729 Loss_G: 0.008968 Loss_D_real: -0.016527 Loss_D_fake 0.003202
[1198/5000][130/535][123543] Loss_D: -0.021129 Loss_G: 0.007008 Loss_D_real: -0.001395 Loss_D_fake 0.019734
[1198/5000][135/535][123544] Loss_D: -0.019286 Loss_G: 0.003904 Loss_D_real: -0.027589 Loss_D_fake -0.008303
[1198/5000][140/535][123545] Loss_D: -0.020516 Loss_G: 0.005669 Loss_D_real: -0.012155 Loss_D_fake 0.008361
[1198/5000][145/535][123546] Loss_D: -0.020175 Loss_G: 0.005025 Loss_D_real: -0.030306 Loss_D_fake -0.010131
[1198/5000][150/535][123547] Loss_D: -0.021156 Loss_G: -0.004433 Loss_D_real: -0.004435 Loss_D_fake 0.016721
[1198/5000][155/535][123548] Loss_D: -0.019113 Loss_G: 0.026796 Loss_D_real: -0.025621 Loss_D_fake -0.006508
[1198/5000][160/535][123549] Loss_D: -0.021560 Loss_G: -0.005433 Loss_D_real: -0.017818 Loss_D_fake 0.003742
[1198/5000][165/535][123550] Loss_D: -0.020402 Loss_G: 0.012934 Loss_D_real: -0.027716 Loss_D_fake -0.007314
[1198/5000][170/535][123551] Loss_D: -0.019971 Loss_G: 0.018939 Loss_D_real: -0.033888 Loss_D_fake -0.013916
[1198/5000][175/535][123552] Loss_D: -0.019274 Loss_G: 0.004271 Loss_D_real: -0.011928 Loss_D_fake 0.007346
[1198/5000][180/535][123553] Loss_D: -0.018889 Loss_G: 0.026640 Loss_D_real: -0.026689 Loss_D_fake -0.007800
[1198/5000][185/535][123554] Loss_D: -0.020256 Loss_G: -0.000834 Loss_D_real: -0.011975 Loss_D_fake 0.008280
[1198/5000][190/535][123555] Loss_D: -0.020611 Loss_G: 0.008252 Loss_D_real: -0.018553 Loss_D_fake 0.002058
[1198/5000][195/535][123556] Loss_D: -0.021249 Loss_G: 0.007164 Loss_D_real: -0.010384 Loss_D_fake 0.010865
[1198/5000][200/535][123557] Loss_D: -0.020041 Loss_G: 0.012648 Loss_D_real: -0.028379 Loss_D_fake -0.008338
[1198/5000][205/535][123558] Loss_D: -0.020503 Loss_G: 0.014350 Loss_D_real: -0.018794 Loss_D_fake 0.001709
[1198/5000][210/535][123559] Loss_D: -0.019952 Loss_G: 0.001077 Loss_D_real: -0.015292 Loss_D_fake 0.004660
[1198/5000][215/535][123560] Loss_D: -0.020681 Loss_G: 0.001805 Loss_D_real: -0.013627 Loss_D_fake 0.007054
[1198/5000][220/535][123561] Loss_D: -0.021393 Loss_G: 0.018944 Loss_D_real: -0.027251 Loss_D_fake -0.005858
[1198/5000][225/535][123562] Loss_D: -0.020416 Loss_G: 0.011785 Loss_D_real: -0.033470 Loss_D_fake -0.013054
[1198/5000][230/535][123563] Loss_D: -0.021566 Loss_G: -0.019358 Loss_D_real: -0.008795 Loss_D_fake 0.012771
[1198/5000][235/535][123564] Loss_D: -0.020283 Loss_G: 0.010284 Loss_D_real: -0.027844 Loss_D_fake -0.007561
[1198/5000][240/535][123565] Loss_D: -0.019396 Loss_G: -0.005463 Loss_D_real: -0.010315 Loss_D_fake 0.009081
[1198/5000][245/535][123566] Loss_D: -0.019860 Loss_G: 0.011372 Loss_D_real: -0.025369 Loss_D_fake -0.005509
[1198/5000][250/535][123567] Loss_D: -0.019052 Loss_G: 0.020596 Loss_D_real: -0.030730 Loss_D_fake -0.011678
[1198/5000][255/535][123568] Loss_D: -0.019116 Loss_G: -0.002514 Loss_D_real: -0.015918 Loss_D_fake 0.003198
[1198/5000][260/535][123569] Loss_D: -0.020690 Loss_G: 0.013511 Loss_D_real: -0.014171 Loss_D_fake 0.006519
[1198/5000][265/535][123570] Loss_D: -0.019851 Loss_G: 0.021328 Loss_D_real: -0.028579 Loss_D_fake -0.008728
[1198/5000][270/535][123571] Loss_D: -0.021019 Loss_G: -0.004750 Loss_D_real: -0.026730 Loss_D_fake -0.005711
[1198/5000][275/535][123572] Loss_D: -0.020779 Loss_G: 0.006621 Loss_D_real: -0.025774 Loss_D_fake -0.004995
[1198/5000][280/535][123573] Loss_D: -0.021294 Loss_G: -0.002093 Loss_D_real: -0.027059 Loss_D_fake -0.005764
[1198/5000][285/535][123574] Loss_D: -0.021757 Loss_G: 0.014045 Loss_D_real: -0.030309 Loss_D_fake -0.008552
[1198/5000][290/535][123575] Loss_D: -0.020725 Loss_G: 0.007238 Loss_D_real: -0.018689 Loss_D_fake 0.002036
[1198/5000][295/535][123576] Loss_D: -0.017920 Loss_G: 0.025979 Loss_D_real: -0.037184 Loss_D_fake -0.019264
[1198/5000][300/535][123577] Loss_D: -0.019939 Loss_G: 0.004887 Loss_D_real: -0.008002 Loss_D_fake 0.011937
[1198/5000][305/535][123578] Loss_D: -0.021234 Loss_G: -0.005692 Loss_D_real: -0.027779 Loss_D_fake -0.006545
[1198/5000][310/535][123579] Loss_D: -0.021418 Loss_G: -0.008532 Loss_D_real: -0.010783 Loss_D_fake 0.010635
[1198/5000][315/535][123580] Loss_D: -0.021856 Loss_G: 0.005151 Loss_D_real: -0.011112 Loss_D_fake 0.010744
[1198/5000][320/535][123581] Loss_D: -0.021956 Loss_G: 0.010659 Loss_D_real: -0.017451 Loss_D_fake 0.004505
[1198/5000][325/535][123582] Loss_D: -0.020408 Loss_G: 0.011606 Loss_D_real: -0.027303 Loss_D_fake -0.006895
[1198/5000][330/535][123583] Loss_D: -0.021031 Loss_G: 0.009874 Loss_D_real: -0.010569 Loss_D_fake 0.010462
[1198/5000][335/535][123584] Loss_D: -0.020206 Loss_G: -0.010548 Loss_D_real: -0.011051 Loss_D_fake 0.009155
[1198/5000][340/535][123585] Loss_D: -0.019704 Loss_G: -0.008996 Loss_D_real: -0.003121 Loss_D_fake 0.016584
[1198/5000][345/535][123586] Loss_D: -0.019311 Loss_G: -0.013267 Loss_D_real: -0.000619 Loss_D_fake 0.018692
[1198/5000][350/535][123587] Loss_D: -0.018627 Loss_G: 0.015724 Loss_D_real: -0.025512 Loss_D_fake -0.006884
[1198/5000][355/535][123588] Loss_D: -0.019003 Loss_G: -0.000152 Loss_D_real: -0.004349 Loss_D_fake 0.014654
[1198/5000][360/535][123589] Loss_D: -0.020560 Loss_G: 0.013970 Loss_D_real: -0.015586 Loss_D_fake 0.004975
[1198/5000][365/535][123590] Loss_D: -0.019964 Loss_G: 0.010655 Loss_D_real: -0.011952 Loss_D_fake 0.008012
[1198/5000][370/535][123591] Loss_D: -0.020886 Loss_G: 0.016763 Loss_D_real: -0.026021 Loss_D_fake -0.005135
[1198/5000][375/535][123592] Loss_D: -0.019676 Loss_G: 0.018620 Loss_D_real: -0.027005 Loss_D_fake -0.007329
[1198/5000][380/535][123593] Loss_D: -0.021059 Loss_G: 0.012282 Loss_D_real: -0.016205 Loss_D_fake 0.004854
[1198/5000][385/535][123594] Loss_D: -0.019432 Loss_G: 0.004436 Loss_D_real: -0.023677 Loss_D_fake -0.004245
[1198/5000][390/535][123595] Loss_D: -0.020012 Loss_G: 0.006108 Loss_D_real: -0.014936 Loss_D_fake 0.005076
[1198/5000][395/535][123596] Loss_D: -0.020067 Loss_G: 0.010361 Loss_D_real: -0.033764 Loss_D_fake -0.013697
[1198/5000][400/535][123597] Loss_D: -0.018489 Loss_G: 0.021349 Loss_D_real: -0.031009 Loss_D_fake -0.012520
[1198/5000][405/535][123598] Loss_D: -0.021207 Loss_G: 0.007683 Loss_D_real: -0.029651 Loss_D_fake -0.008444
[1198/5000][410/535][123599] Loss_D: -0.019931 Loss_G: -0.004253 Loss_D_real: -0.012232 Loss_D_fake 0.007699
[1198/5000][415/535][123600] Loss_D: -0.021537 Loss_G: 0.001968 Loss_D_real: -0.014242 Loss_D_fake 0.007295
[1198/5000][420/535][123601] Loss_D: -0.020816 Loss_G: 0.019092 Loss_D_real: -0.026733 Loss_D_fake -0.005917
[1198/5000][425/535][123602] Loss_D: -0.019524 Loss_G: -0.012146 Loss_D_real: -0.003289 Loss_D_fake 0.016234
[1198/5000][430/535][123603] Loss_D: -0.019507 Loss_G: -0.008688 Loss_D_real: -0.012288 Loss_D_fake 0.007220
[1198/5000][435/535][123604] Loss_D: -0.020344 Loss_G: -0.017068 Loss_D_real: -0.005781 Loss_D_fake 0.014563
[1198/5000][440/535][123605] Loss_D: -0.021465 Loss_G: 0.004902 Loss_D_real: -0.025307 Loss_D_fake -0.003842
[1198/5000][445/535][123606] Loss_D: -0.017676 Loss_G: 0.025784 Loss_D_real: -0.036911 Loss_D_fake -0.019235
[1198/5000][450/535][123607] Loss_D: -0.020265 Loss_G: -0.001125 Loss_D_real: -0.011825 Loss_D_fake 0.008439
[1198/5000][455/535][123608] Loss_D: -0.019378 Loss_G: 0.008832 Loss_D_real: -0.021535 Loss_D_fake -0.002157
[1198/5000][460/535][123609] Loss_D: -0.020739 Loss_G: 0.003920 Loss_D_real: -0.005933 Loss_D_fake 0.014807
[1198/5000][465/535][123610] Loss_D: -0.020677 Loss_G: -0.009694 Loss_D_real: -0.005414 Loss_D_fake 0.015264
[1198/5000][470/535][123611] Loss_D: -0.021423 Loss_G: 0.013157 Loss_D_real: -0.028429 Loss_D_fake -0.007006
[1198/5000][475/535][123612] Loss_D: -0.020890 Loss_G: 0.014198 Loss_D_real: -0.021120 Loss_D_fake -0.000230
[1198/5000][480/535][123613] Loss_D: -0.019704 Loss_G: -0.011502 Loss_D_real: 0.009464 Loss_D_fake 0.029168
[1198/5000][485/535][123614] Loss_D: -0.019149 Loss_G: 0.012457 Loss_D_real: -0.033277 Loss_D_fake -0.014129
[1198/5000][490/535][123615] Loss_D: -0.022001 Loss_G: 0.003818 Loss_D_real: -0.013719 Loss_D_fake 0.008282
[1198/5000][495/535][123616] Loss_D: -0.021003 Loss_G: 0.015156 Loss_D_real: -0.007823 Loss_D_fake 0.013180
[1198/5000][500/535][123617] Loss_D: -0.021507 Loss_G: -0.011020 Loss_D_real: -0.009822 Loss_D_fake 0.011685
[1198/5000][505/535][123618] Loss_D: -0.017439 Loss_G: -0.017930 Loss_D_real: -0.003080 Loss_D_fake 0.014359
[1198/5000][510/535][123619] Loss_D: -0.021678 Loss_G: 0.018314 Loss_D_real: -0.020083 Loss_D_fake 0.001595
[1198/5000][515/535][123620] Loss_D: -0.019634 Loss_G: -0.007046 Loss_D_real: -0.017477 Loss_D_fake 0.002156
[1198/5000][520/535][123621] Loss_D: -0.019707 Loss_G: 0.000478 Loss_D_real: -0.016669 Loss_D_fake 0.003038
[1198/5000][525/535][123622] Loss_D: -0.019847 Loss_G: 0.012526 Loss_D_real: -0.018583 Loss_D_fake 0.001264
[1198/5000][530/535][123623] Loss_D: -0.019367 Loss_G: 0.015527 Loss_D_real: -0.033987 Loss_D_fake -0.014620
[1198/5000][535/535][123624] Loss_D: -0.020604 Loss_G: -0.018570 Loss_D_real: -0.015942 Loss_D_fake 0.004662
[1199/5000][5/535][123625] Loss_D: -0.019152 Loss_G: 0.024831 Loss_D_real: -0.026627 Loss_D_fake -0.007476
[1199/5000][10/535][123626] Loss_D: -0.020783 Loss_G: 0.009379 Loss_D_real: -0.021174 Loss_D_fake -0.000391
[1199/5000][15/535][123627] Loss_D: -0.020312 Loss_G: -0.005390 Loss_D_real: -0.007730 Loss_D_fake 0.012581
[1199/5000][20/535][123628] Loss_D: -0.021320 Loss_G: 0.012212 Loss_D_real: -0.016548 Loss_D_fake 0.004773
[1199/5000][25/535][123629] Loss_D: -0.021461 Loss_G: 0.007591 Loss_D_real: -0.014671 Loss_D_fake 0.006790
[1199/5000][30/535][123630] Loss_D: -0.020355 Loss_G: 0.009554 Loss_D_real: -0.025282 Loss_D_fake -0.004927
[1199/5000][35/535][123631] Loss_D: -0.020353 Loss_G: -0.001568 Loss_D_real: -0.014394 Loss_D_fake 0.005959
[1199/5000][40/535][123632] Loss_D: -0.019543 Loss_G: 0.016877 Loss_D_real: -0.039268 Loss_D_fake -0.019724
[1199/5000][45/535][123633] Loss_D: -0.021772 Loss_G: 0.006610 Loss_D_real: -0.028137 Loss_D_fake -0.006364
[1199/5000][50/535][123634] Loss_D: -0.020454 Loss_G: 0.020826 Loss_D_real: -0.024720 Loss_D_fake -0.004266
[1199/5000][55/535][123635] Loss_D: -0.020647 Loss_G: -0.008123 Loss_D_real: -0.021993 Loss_D_fake -0.001346
[1199/5000][60/535][123636] Loss_D: -0.020086 Loss_G: 0.009106 Loss_D_real: -0.015851 Loss_D_fake 0.004235
[1199/5000][65/535][123637] Loss_D: -0.020313 Loss_G: 0.016910 Loss_D_real: -0.021352 Loss_D_fake -0.001038
[1199/5000][70/535][123638] Loss_D: -0.021752 Loss_G: 0.017301 Loss_D_real: -0.015397 Loss_D_fake 0.006355
[1199/5000][75/535][123639] Loss_D: -0.020074 Loss_G: -0.004777 Loss_D_real: -0.007033 Loss_D_fake 0.013041
[1199/5000][80/535][123640] Loss_D: -0.019764 Loss_G: 0.011010 Loss_D_real: -0.029221 Loss_D_fake -0.009457
[1199/5000][85/535][123641] Loss_D: -0.020508 Loss_G: -0.008304 Loss_D_real: -0.009154 Loss_D_fake 0.011354
[1199/5000][90/535][123642] Loss_D: -0.021041 Loss_G: 0.021347 Loss_D_real: -0.017832 Loss_D_fake 0.003209
[1199/5000][95/535][123643] Loss_D: -0.018716 Loss_G: -0.009817 Loss_D_real: -0.011384 Loss_D_fake 0.007331
[1199/5000][100/535][123644] Loss_D: -0.020623 Loss_G: 0.005035 Loss_D_real: -0.028270 Loss_D_fake -0.007647
[1199/5000][105/535][123645] Loss_D: -0.020225 Loss_G: -0.012331 Loss_D_real: 0.002010 Loss_D_fake 0.022234
[1199/5000][110/535][123646] Loss_D: -0.020529 Loss_G: 0.021238 Loss_D_real: -0.030408 Loss_D_fake -0.009880
[1199/5000][115/535][123647] Loss_D: -0.019667 Loss_G: 0.003953 Loss_D_real: -0.004014 Loss_D_fake 0.015653
[1199/5000][120/535][123648] Loss_D: -0.020539 Loss_G: 0.025688 Loss_D_real: -0.023186 Loss_D_fake -0.002647
[1199/5000][125/535][123649] Loss_D: -0.020315 Loss_G: 0.004044 Loss_D_real: -0.025304 Loss_D_fake -0.004990
[1199/5000][130/535][123650] Loss_D: -0.021031 Loss_G: -0.004510 Loss_D_real: -0.002585 Loss_D_fake 0.018445
[1199/5000][135/535][123651] Loss_D: -0.019664 Loss_G: 0.003009 Loss_D_real: -0.021354 Loss_D_fake -0.001690
[1199/5000][140/535][123652] Loss_D: -0.019936 Loss_G: -0.002468 Loss_D_real: -0.004422 Loss_D_fake 0.015514
[1199/5000][145/535][123653] Loss_D: -0.019984 Loss_G: -0.001705 Loss_D_real: -0.006609 Loss_D_fake 0.013375
[1199/5000][150/535][123654] Loss_D: -0.021079 Loss_G: 0.026214 Loss_D_real: -0.018462 Loss_D_fake 0.002617
[1199/5000][155/535][123655] Loss_D: -0.020579 Loss_G: 0.001291 Loss_D_real: -0.010645 Loss_D_fake 0.009934
[1199/5000][160/535][123656] Loss_D: -0.021252 Loss_G: 0.006169 Loss_D_real: -0.020276 Loss_D_fake 0.000976
[1199/5000][165/535][123657] Loss_D: -0.021368 Loss_G: 0.010896 Loss_D_real: -0.019973 Loss_D_fake 0.001395
[1199/5000][170/535][123658] Loss_D: -0.020225 Loss_G: 0.006374 Loss_D_real: -0.016765 Loss_D_fake 0.003460
[1199/5000][175/535][123659] Loss_D: -0.020061 Loss_G: 0.009868 Loss_D_real: -0.027558 Loss_D_fake -0.007497
[1199/5000][180/535][123660] Loss_D: -0.020620 Loss_G: 0.009052 Loss_D_real: -0.024655 Loss_D_fake -0.004035
[1199/5000][185/535][123661] Loss_D: -0.019814 Loss_G: 0.009119 Loss_D_real: -0.024612 Loss_D_fake -0.004798
[1199/5000][190/535][123662] Loss_D: -0.021727 Loss_G: 0.000415 Loss_D_real: -0.011567 Loss_D_fake 0.010160
[1199/5000][195/535][123663] Loss_D: -0.022608 Loss_G: 0.003172 Loss_D_real: -0.015586 Loss_D_fake 0.007022
[1199/5000][200/535][123664] Loss_D: -0.021613 Loss_G: 0.013044 Loss_D_real: -0.026961 Loss_D_fake -0.005348
[1199/5000][205/535][123665] Loss_D: -0.023197 Loss_G: 0.015080 Loss_D_real: -0.027834 Loss_D_fake -0.004638
[1199/5000][210/535][123666] Loss_D: -0.022401 Loss_G: 0.007036 Loss_D_real: -0.019226 Loss_D_fake 0.003175
[1199/5000][215/535][123667] Loss_D: -0.019782 Loss_G: 0.015206 Loss_D_real: -0.027803 Loss_D_fake -0.008021
[1199/5000][220/535][123668] Loss_D: -0.019514 Loss_G: 0.012003 Loss_D_real: -0.021107 Loss_D_fake -0.001593
[1199/5000][225/535][123669] Loss_D: -0.020979 Loss_G: 0.017190 Loss_D_real: -0.010490 Loss_D_fake 0.010489
[1199/5000][230/535][123670] Loss_D: -0.020463 Loss_G: 0.008918 Loss_D_real: -0.016734 Loss_D_fake 0.003729
[1199/5000][235/535][123671] Loss_D: -0.021416 Loss_G: 0.005182 Loss_D_real: -0.014949 Loss_D_fake 0.006467
[1199/5000][240/535][123672] Loss_D: -0.019691 Loss_G: 0.011550 Loss_D_real: -0.025008 Loss_D_fake -0.005316
[1199/5000][245/535][123673] Loss_D: -0.020163 Loss_G: -0.009504 Loss_D_real: -0.003213 Loss_D_fake 0.016950
[1199/5000][250/535][123674] Loss_D: -0.019588 Loss_G: 0.013657 Loss_D_real: -0.029907 Loss_D_fake -0.010319
[1199/5000][255/535][123675] Loss_D: -0.021115 Loss_G: 0.015875 Loss_D_real: -0.027659 Loss_D_fake -0.006544
[1199/5000][260/535][123676] Loss_D: -0.019475 Loss_G: 0.013070 Loss_D_real: -0.038529 Loss_D_fake -0.019054
[1199/5000][265/535][123677] Loss_D: -0.020722 Loss_G: 0.010951 Loss_D_real: -0.015755 Loss_D_fake 0.004967
[1199/5000][270/535][123678] Loss_D: -0.021789 Loss_G: 0.028091 Loss_D_real: -0.028361 Loss_D_fake -0.006572
[1199/5000][275/535][123679] Loss_D: -0.020566 Loss_G: 0.000551 Loss_D_real: -0.019824 Loss_D_fake 0.000743
[1199/5000][280/535][123680] Loss_D: -0.020161 Loss_G: 0.017994 Loss_D_real: -0.023039 Loss_D_fake -0.002878
[1199/5000][285/535][123681] Loss_D: -0.021103 Loss_G: -0.014461 Loss_D_real: -0.013908 Loss_D_fake 0.007195
[1199/5000][290/535][123682] Loss_D: -0.020554 Loss_G: 0.009622 Loss_D_real: -0.016675 Loss_D_fake 0.003880
[1199/5000][295/535][123683] Loss_D: -0.019860 Loss_G: 0.009778 Loss_D_real: -0.016717 Loss_D_fake 0.003143
[1199/5000][300/535][123684] Loss_D: -0.020999 Loss_G: 0.011808 Loss_D_real: -0.016219 Loss_D_fake 0.004780
[1199/5000][305/535][123685] Loss_D: -0.019320 Loss_G: 0.014977 Loss_D_real: -0.029130 Loss_D_fake -0.009810
[1199/5000][310/535][123686] Loss_D: -0.019750 Loss_G: -0.015928 Loss_D_real: -0.012929 Loss_D_fake 0.006821
[1199/5000][315/535][123687] Loss_D: -0.021601 Loss_G: 0.010574 Loss_D_real: -0.014008 Loss_D_fake 0.007593
[1199/5000][320/535][123688] Loss_D: -0.021450 Loss_G: -0.006035 Loss_D_real: -0.011565 Loss_D_fake 0.009885
[1199/5000][325/535][123689] Loss_D: -0.021271 Loss_G: 0.009609 Loss_D_real: -0.012554 Loss_D_fake 0.008717
[1199/5000][330/535][123690] Loss_D: -0.022363 Loss_G: 0.002686 Loss_D_real: -0.013121 Loss_D_fake 0.009243
[1199/5000][335/535][123691] Loss_D: -0.021424 Loss_G: -0.006703 Loss_D_real: -0.009557 Loss_D_fake 0.011867
[1199/5000][340/535][123692] Loss_D: -0.020965 Loss_G: 0.010725 Loss_D_real: -0.008737 Loss_D_fake 0.012228
[1199/5000][345/535][123693] Loss_D: -0.018365 Loss_G: 0.014943 Loss_D_real: -0.030602 Loss_D_fake -0.012237
[1199/5000][350/535][123694] Loss_D: -0.020891 Loss_G: 0.017783 Loss_D_real: -0.024024 Loss_D_fake -0.003133
[1199/5000][355/535][123695] Loss_D: -0.019943 Loss_G: 0.013535 Loss_D_real: -0.023136 Loss_D_fake -0.003193
[1199/5000][360/535][123696] Loss_D: -0.019705 Loss_G: 0.021348 Loss_D_real: -0.022339 Loss_D_fake -0.002633
[1199/5000][365/535][123697] Loss_D: -0.019371 Loss_G: -0.019729 Loss_D_real: 0.001494 Loss_D_fake 0.020865
[1199/5000][370/535][123698] Loss_D: -0.019484 Loss_G: -0.005981 Loss_D_real: 0.000017 Loss_D_fake 0.019501
[1199/5000][375/535][123699] Loss_D: -0.019969 Loss_G: 0.007655 Loss_D_real: -0.018849 Loss_D_fake 0.001121
[1199/5000][380/535][123700] Loss_D: -0.021528 Loss_G: 0.005162 Loss_D_real: -0.012935 Loss_D_fake 0.008593
[1199/5000][385/535][123701] Loss_D: -0.020468 Loss_G: 0.010647 Loss_D_real: -0.033236 Loss_D_fake -0.012769
[1199/5000][390/535][123702] Loss_D: -0.020922 Loss_G: 0.004270 Loss_D_real: -0.016307 Loss_D_fake 0.004615
[1199/5000][395/535][123703] Loss_D: -0.022001 Loss_G: 0.005362 Loss_D_real: -0.015020 Loss_D_fake 0.006981
[1199/5000][400/535][123704] Loss_D: -0.019097 Loss_G: 0.021032 Loss_D_real: -0.022076 Loss_D_fake -0.002979
[1199/5000][405/535][123705] Loss_D: -0.019496 Loss_G: 0.007084 Loss_D_real: -0.016423 Loss_D_fake 0.003073
[1199/5000][410/535][123706] Loss_D: -0.020851 Loss_G: -0.007323 Loss_D_real: -0.008527 Loss_D_fake 0.012324
[1199/5000][415/535][123707] Loss_D: -0.019522 Loss_G: -0.006474 Loss_D_real: -0.005080 Loss_D_fake 0.014442
[1199/5000][420/535][123708] Loss_D: -0.019864 Loss_G: 0.018931 Loss_D_real: -0.030822 Loss_D_fake -0.010958
[1199/5000][425/535][123709] Loss_D: -0.020779 Loss_G: -0.007980 Loss_D_real: -0.018503 Loss_D_fake 0.002275
[1199/5000][430/535][123710] Loss_D: -0.021997 Loss_G: -0.004366 Loss_D_real: -0.015097 Loss_D_fake 0.006900
[1199/5000][435/535][123711] Loss_D: -0.020311 Loss_G: 0.003839 Loss_D_real: -0.001508 Loss_D_fake 0.018803
[1199/5000][440/535][123712] Loss_D: -0.020931 Loss_G: 0.006480 Loss_D_real: -0.020329 Loss_D_fake 0.000603
[1199/5000][445/535][123713] Loss_D: -0.019724 Loss_G: 0.022308 Loss_D_real: -0.022207 Loss_D_fake -0.002483
[1199/5000][450/535][123714] Loss_D: -0.021099 Loss_G: 0.006458 Loss_D_real: -0.015714 Loss_D_fake 0.005385
[1199/5000][455/535][123715] Loss_D: -0.020442 Loss_G: -0.005058 Loss_D_real: -0.007493 Loss_D_fake 0.012949
[1199/5000][460/535][123716] Loss_D: -0.021038 Loss_G: -0.004813 Loss_D_real: -0.010481 Loss_D_fake 0.010557
[1199/5000][465/535][123717] Loss_D: -0.020377 Loss_G: -0.014405 Loss_D_real: -0.006143 Loss_D_fake 0.014234
[1199/5000][470/535][123718] Loss_D: -0.020301 Loss_G: 0.015911 Loss_D_real: -0.022501 Loss_D_fake -0.002201
[1199/5000][475/535][123719] Loss_D: -0.020901 Loss_G: 0.002731 Loss_D_real: -0.013825 Loss_D_fake 0.007076
[1199/5000][480/535][123720] Loss_D: -0.020077 Loss_G: 0.004058 Loss_D_real: -0.021046 Loss_D_fake -0.000970
[1199/5000][485/535][123721] Loss_D: -0.020723 Loss_G: 0.001358 Loss_D_real: -0.014377 Loss_D_fake 0.006347
[1199/5000][490/535][123722] Loss_D: -0.021015 Loss_G: 0.011363 Loss_D_real: -0.016604 Loss_D_fake 0.004411
[1199/5000][495/535][123723] Loss_D: -0.020458 Loss_G: 0.002948 Loss_D_real: -0.004335 Loss_D_fake 0.016123
[1199/5000][500/535][123724] Loss_D: -0.019716 Loss_G: 0.011939 Loss_D_real: -0.017010 Loss_D_fake 0.002705
[1199/5000][505/535][123725] Loss_D: -0.021062 Loss_G: 0.002343 Loss_D_real: -0.017111 Loss_D_fake 0.003951
[1199/5000][510/535][123726] Loss_D: -0.020704 Loss_G: 0.006665 Loss_D_real: -0.030370 Loss_D_fake -0.009666
[1199/5000][515/535][123727] Loss_D: -0.021083 Loss_G: 0.021932 Loss_D_real: -0.028842 Loss_D_fake -0.007759
[1199/5000][520/535][123728] Loss_D: -0.019930 Loss_G: 0.027428 Loss_D_real: -0.028622 Loss_D_fake -0.008692
[1199/5000][525/535][123729] Loss_D: -0.020923 Loss_G: 0.009831 Loss_D_real: -0.020110 Loss_D_fake 0.000813
[1199/5000][530/535][123730] Loss_D: -0.021861 Loss_G: -0.008924 Loss_D_real: -0.025757 Loss_D_fake -0.003896
[1199/5000][535/535][123731] Loss_D: -0.024663 Loss_G: 0.029372 Loss_D_real: -0.025351 Loss_D_fake -0.000689
[1200/5000][5/535][123732] Loss_D: -0.021381 Loss_G: 0.003739 Loss_D_real: -0.013660 Loss_D_fake 0.007720
[1200/5000][10/535][123733] Loss_D: -0.020088 Loss_G: 0.007521 Loss_D_real: -0.036512 Loss_D_fake -0.016423
[1200/5000][15/535][123734] Loss_D: -0.019027 Loss_G: 0.010318 Loss_D_real: -0.012580 Loss_D_fake 0.006447
[1200/5000][20/535][123735] Loss_D: -0.019107 Loss_G: -0.014789 Loss_D_real: -0.005116 Loss_D_fake 0.013991
[1200/5000][25/535][123736] Loss_D: -0.020205 Loss_G: 0.017773 Loss_D_real: -0.021569 Loss_D_fake -0.001363
[1200/5000][30/535][123737] Loss_D: -0.018660 Loss_G: 0.015504 Loss_D_real: -0.029590 Loss_D_fake -0.010929
[1200/5000][35/535][123738] Loss_D: -0.020079 Loss_G: 0.019945 Loss_D_real: -0.031466 Loss_D_fake -0.011387
[1200/5000][40/535][123739] Loss_D: -0.019987 Loss_G: -0.005604 Loss_D_real: -0.010973 Loss_D_fake 0.009013
[1200/5000][45/535][123740] Loss_D: -0.020037 Loss_G: 0.008507 Loss_D_real: -0.019404 Loss_D_fake 0.000633
[1200/5000][50/535][123741] Loss_D: -0.021481 Loss_G: 0.004122 Loss_D_real: -0.011703 Loss_D_fake 0.009779
[1200/5000][55/535][123742] Loss_D: -0.019152 Loss_G: 0.003365 Loss_D_real: -0.006001 Loss_D_fake 0.013151
[1200/5000][60/535][123743] Loss_D: -0.020991 Loss_G: -0.008429 Loss_D_real: -0.022109 Loss_D_fake -0.001118
[1200/5000][65/535][123744] Loss_D: -0.021168 Loss_G: -0.003495 Loss_D_real: -0.012168 Loss_D_fake 0.009000
[1200/5000][70/535][123745] Loss_D: -0.020450 Loss_G: 0.014474 Loss_D_real: -0.024578 Loss_D_fake -0.004128
[1200/5000][75/535][123746] Loss_D: -0.020172 Loss_G: -0.004267 Loss_D_real: -0.002035 Loss_D_fake 0.018137
[1200/5000][80/535][123747] Loss_D: -0.020931 Loss_G: 0.021468 Loss_D_real: -0.012076 Loss_D_fake 0.008855
[1200/5000][85/535][123748] Loss_D: -0.022465 Loss_G: 0.021145 Loss_D_real: -0.018681 Loss_D_fake 0.003784
[1200/5000][90/535][123749] Loss_D: -0.020364 Loss_G: -0.013407 Loss_D_real: -0.004823 Loss_D_fake 0.015541
[1200/5000][95/535][123750] Loss_D: -0.020039 Loss_G: 0.003601 Loss_D_real: -0.023061 Loss_D_fake -0.003022
[1200/5000][100/535][123751] Loss_D: -0.020796 Loss_G: 0.008675 Loss_D_real: -0.027734 Loss_D_fake -0.006938
[1200/5000][105/535][123752] Loss_D: -0.022564 Loss_G: 0.021201 Loss_D_real: -0.019782 Loss_D_fake 0.002782
[1200/5000][110/535][123753] Loss_D: -0.020986 Loss_G: 0.006762 Loss_D_real: -0.012647 Loss_D_fake 0.008339
[1200/5000][115/535][123754] Loss_D: -0.019539 Loss_G: 0.024159 Loss_D_real: -0.032584 Loss_D_fake -0.013044
[1200/5000][120/535][123755] Loss_D: -0.021278 Loss_G: -0.013842 Loss_D_real: -0.016560 Loss_D_fake 0.004718
[1200/5000][125/535][123756] Loss_D: -0.020456 Loss_G: 0.017412 Loss_D_real: -0.010246 Loss_D_fake 0.010210
[1200/5000][130/535][123757] Loss_D: -0.019707 Loss_G: -0.004422 Loss_D_real: -0.011266 Loss_D_fake 0.008441
[1200/5000][135/535][123758] Loss_D: -0.019984 Loss_G: 0.016560 Loss_D_real: -0.029278 Loss_D_fake -0.009293
[1200/5000][140/535][123759] Loss_D: -0.020127 Loss_G: 0.003132 Loss_D_real: 0.000430 Loss_D_fake 0.020557
[1200/5000][145/535][123760] Loss_D: -0.020064 Loss_G: -0.005468 Loss_D_real: -0.002088 Loss_D_fake 0.017976
[1200/5000][150/535][123761] Loss_D: -0.021503 Loss_G: -0.006493 Loss_D_real: -0.021813 Loss_D_fake -0.000310
[1200/5000][155/535][123762] Loss_D: -0.019752 Loss_G: 0.013972 Loss_D_real: -0.019606 Loss_D_fake 0.000145
[1200/5000][160/535][123763] Loss_D: -0.019653 Loss_G: -0.013742 Loss_D_real: -0.006711 Loss_D_fake 0.012942
[1200/5000][165/535][123764] Loss_D: -0.019422 Loss_G: 0.011346 Loss_D_real: -0.013382 Loss_D_fake 0.006040
[1200/5000][170/535][123765] Loss_D: -0.020690 Loss_G: 0.015160 Loss_D_real: -0.014708 Loss_D_fake 0.005982
[1200/5000][175/535][123766] Loss_D: -0.020047 Loss_G: 0.013896 Loss_D_real: -0.020603 Loss_D_fake -0.000557
[1200/5000][180/535][123767] Loss_D: -0.021188 Loss_G: 0.012839 Loss_D_real: -0.022166 Loss_D_fake -0.000979
[1200/5000][185/535][123768] Loss_D: -0.020352 Loss_G: 0.000687 Loss_D_real: -0.023788 Loss_D_fake -0.003435
[1200/5000][190/535][123769] Loss_D: -0.020677 Loss_G: 0.023055 Loss_D_real: -0.028375 Loss_D_fake -0.007697
[1200/5000][195/535][123770] Loss_D: -0.019303 Loss_G: 0.006142 Loss_D_real: -0.009949 Loss_D_fake 0.009354
[1200/5000][200/535][123771] Loss_D: -0.021065 Loss_G: 0.011719 Loss_D_real: -0.023245 Loss_D_fake -0.002180
[1200/5000][205/535][123772] Loss_D: -0.018527 Loss_G: 0.029135 Loss_D_real: -0.043002 Loss_D_fake -0.024475
[1200/5000][210/535][123773] Loss_D: -0.019341 Loss_G: 0.004961 Loss_D_real: -0.015220 Loss_D_fake 0.004121
[1200/5000][215/535][123774] Loss_D: -0.019524 Loss_G: -0.001273 Loss_D_real: -0.025995 Loss_D_fake -0.006471
[1200/5000][220/535][123775] Loss_D: -0.021174 Loss_G: -0.005152 Loss_D_real: -0.017281 Loss_D_fake 0.003893
[1200/5000][225/535][123776] Loss_D: -0.020899 Loss_G: 0.000741 Loss_D_real: -0.014931 Loss_D_fake 0.005968
[1200/5000][230/535][123777] Loss_D: -0.020773 Loss_G: 0.019913 Loss_D_real: -0.019092 Loss_D_fake 0.001681
[1200/5000][235/535][123778] Loss_D: -0.021364 Loss_G: 0.022307 Loss_D_real: -0.028680 Loss_D_fake -0.007316
[1200/5000][240/535][123779] Loss_D: -0.021048 Loss_G: 0.001002 Loss_D_real: -0.016080 Loss_D_fake 0.004967
[1200/5000][245/535][123780] Loss_D: -0.021593 Loss_G: 0.023610 Loss_D_real: -0.019896 Loss_D_fake 0.001697
[1200/5000][250/535][123781] Loss_D: -0.020280 Loss_G: 0.009948 Loss_D_real: -0.025305 Loss_D_fake -0.005024
[1200/5000][255/535][123782] Loss_D: -0.020787 Loss_G: 0.018398 Loss_D_real: -0.031741 Loss_D_fake -0.010953
[1200/5000][260/535][123783] Loss_D: -0.019877 Loss_G: -0.015437 Loss_D_real: -0.012451 Loss_D_fake 0.007426
[1200/5000][265/535][123784] Loss_D: -0.021469 Loss_G: -0.002858 Loss_D_real: -0.005899 Loss_D_fake 0.015570
[1200/5000][270/535][123785] Loss_D: -0.021762 Loss_G: 0.003060 Loss_D_real: -0.022604 Loss_D_fake -0.000842
[1200/5000][275/535][123786] Loss_D: -0.019874 Loss_G: 0.014902 Loss_D_real: -0.026344 Loss_D_fake -0.006470
[1200/5000][280/535][123787] Loss_D: -0.020409 Loss_G: -0.009471 Loss_D_real: -0.007165 Loss_D_fake 0.013245
[1200/5000][285/535][123788] Loss_D: -0.018719 Loss_G: -0.006131 Loss_D_real: -0.017672 Loss_D_fake 0.001047
[1200/5000][290/535][123789] Loss_D: -0.020213 Loss_G: -0.006522 Loss_D_real: -0.004476 Loss_D_fake 0.015737
[1200/5000][295/535][123790] Loss_D: -0.018567 Loss_G: 0.022766 Loss_D_real: -0.027063 Loss_D_fake -0.008496
[1200/5000][300/535][123791] Loss_D: -0.020519 Loss_G: 0.004339 Loss_D_real: -0.012865 Loss_D_fake 0.007654
[1200/5000][305/535][123792] Loss_D: -0.020374 Loss_G: 0.010453 Loss_D_real: -0.015716 Loss_D_fake 0.004658
[1200/5000][310/535][123793] Loss_D: -0.019792 Loss_G: 0.018557 Loss_D_real: -0.023435 Loss_D_fake -0.003643
[1200/5000][315/535][123794] Loss_D: -0.019532 Loss_G: 0.014759 Loss_D_real: -0.039185 Loss_D_fake -0.019653
[1200/5000][320/535][123795] Loss_D: -0.020512 Loss_G: 0.024875 Loss_D_real: -0.014995 Loss_D_fake 0.005517
[1200/5000][325/535][123796] Loss_D: -0.021408 Loss_G: -0.005441 Loss_D_real: -0.010555 Loss_D_fake 0.010852
[1200/5000][330/535][123797] Loss_D: -0.019321 Loss_G: -0.002892 Loss_D_real: -0.014370 Loss_D_fake 0.004951
[1200/5000][335/535][123798] Loss_D: -0.021956 Loss_G: 0.008441 Loss_D_real: -0.010970 Loss_D_fake 0.010986
[1200/5000][340/535][123799] Loss_D: -0.021829 Loss_G: 0.013420 Loss_D_real: -0.023236 Loss_D_fake -0.001407
[1200/5000][345/535][123800] Loss_D: -0.022017 Loss_G: -0.001273 Loss_D_real: -0.017307 Loss_D_fake 0.004710
[1200/5000][350/535][123801] Loss_D: -0.019586 Loss_G: 0.008582 Loss_D_real: -0.018691 Loss_D_fake 0.000895
[1200/5000][355/535][123802] Loss_D: -0.021808 Loss_G: -0.006933 Loss_D_real: -0.006513 Loss_D_fake 0.015295
[1200/5000][360/535][123803] Loss_D: -0.020746 Loss_G: -0.001126 Loss_D_real: -0.018754 Loss_D_fake 0.001992
[1200/5000][365/535][123804] Loss_D: -0.020557 Loss_G: -0.002075 Loss_D_real: -0.018371 Loss_D_fake 0.002186
[1200/5000][370/535][123805] Loss_D: -0.020665 Loss_G: 0.010440 Loss_D_real: -0.018703 Loss_D_fake 0.001962
[1200/5000][375/535][123806] Loss_D: -0.020232 Loss_G: 0.024406 Loss_D_real: -0.022759 Loss_D_fake -0.002527
[1200/5000][380/535][123807] Loss_D: -0.020147 Loss_G: 0.003342 Loss_D_real: -0.004134 Loss_D_fake 0.016013
[1200/5000][385/535][123808] Loss_D: -0.019727 Loss_G: 0.007549 Loss_D_real: -0.036476 Loss_D_fake -0.016749
[1200/5000][390/535][123809] Loss_D: -0.021206 Loss_G: 0.000062 Loss_D_real: -0.006009 Loss_D_fake 0.015197
[1200/5000][395/535][123810] Loss_D: -0.020550 Loss_G: 0.004305 Loss_D_real: -0.021494 Loss_D_fake -0.000944
[1200/5000][400/535][123811] Loss_D: -0.019783 Loss_G: -0.008908 Loss_D_real: -0.006251 Loss_D_fake 0.013532
[1200/5000][405/535][123812] Loss_D: -0.022063 Loss_G: 0.005312 Loss_D_real: -0.011941 Loss_D_fake 0.010123
[1200/5000][410/535][123813] Loss_D: -0.020476 Loss_G: 0.010482 Loss_D_real: -0.028918 Loss_D_fake -0.008442
[1200/5000][415/535][123814] Loss_D: -0.020114 Loss_G: 0.010582 Loss_D_real: -0.020298 Loss_D_fake -0.000185
[1200/5000][420/535][123815] Loss_D: -0.020222 Loss_G: -0.008087 Loss_D_real: -0.011710 Loss_D_fake 0.008512
[1200/5000][425/535][123816] Loss_D: -0.020718 Loss_G: -0.001774 Loss_D_real: -0.023819 Loss_D_fake -0.003101
[1200/5000][430/535][123817] Loss_D: -0.019553 Loss_G: 0.011959 Loss_D_real: -0.023515 Loss_D_fake -0.003962
[1200/5000][435/535][123818] Loss_D: -0.020528 Loss_G: -0.004911 Loss_D_real: -0.015249 Loss_D_fake 0.005279
[1200/5000][440/535][123819] Loss_D: -0.019740 Loss_G: 0.026744 Loss_D_real: -0.037425 Loss_D_fake -0.017685
[1200/5000][445/535][123820] Loss_D: -0.021808 Loss_G: 0.007722 Loss_D_real: -0.021747 Loss_D_fake 0.000061
[1200/5000][450/535][123821] Loss_D: -0.020844 Loss_G: 0.003022 Loss_D_real: -0.002066 Loss_D_fake 0.018778
[1200/5000][455/535][123822] Loss_D: -0.020807 Loss_G: 0.002117 Loss_D_real: -0.013888 Loss_D_fake 0.006920
[1200/5000][460/535][123823] Loss_D: -0.018934 Loss_G: -0.025634 Loss_D_real: 0.004826 Loss_D_fake 0.023760
[1200/5000][465/535][123824] Loss_D: -0.021020 Loss_G: 0.014169 Loss_D_real: -0.018243 Loss_D_fake 0.002776
[1200/5000][470/535][123825] Loss_D: -0.020647 Loss_G: 0.005153 Loss_D_real: -0.010690 Loss_D_fake 0.009956
[1200/5000][475/535][123826] Loss_D: -0.020463 Loss_G: 0.006407 Loss_D_real: -0.023241 Loss_D_fake -0.002778
[1200/5000][480/535][123827] Loss_D: -0.019471 Loss_G: -0.001043 Loss_D_real: -0.019492 Loss_D_fake -0.000021
[1200/5000][485/535][123828] Loss_D: -0.020385 Loss_G: 0.007902 Loss_D_real: -0.014751 Loss_D_fake 0.005634
[1200/5000][490/535][123829] Loss_D: -0.020529 Loss_G: -0.001456 Loss_D_real: -0.011250 Loss_D_fake 0.009279
[1200/5000][495/535][123830] Loss_D: -0.018591 Loss_G: 0.018374 Loss_D_real: -0.015961 Loss_D_fake 0.002629
[1200/5000][500/535][123831] Loss_D: -0.019306 Loss_G: -0.005156 Loss_D_real: -0.017909 Loss_D_fake 0.001396
[1200/5000][505/535][123832] Loss_D: -0.021551 Loss_G: 0.001830 Loss_D_real: -0.014048 Loss_D_fake 0.007503
[1200/5000][510/535][123833] Loss_D: -0.020951 Loss_G: -0.014201 Loss_D_real: -0.008354 Loss_D_fake 0.012597
[1200/5000][515/535][123834] Loss_D: -0.020405 Loss_G: -0.007018 Loss_D_real: -0.004631 Loss_D_fake 0.015774
[1200/5000][520/535][123835] Loss_D: -0.018708 Loss_G: 0.015970 Loss_D_real: -0.024673 Loss_D_fake -0.005965
[1200/5000][525/535][123836] Loss_D: -0.019150 Loss_G: 0.011251 Loss_D_real: -0.020176 Loss_D_fake -0.001026
[1200/5000][530/535][123837] Loss_D: -0.019456 Loss_G: -0.009296 Loss_D_real: -0.013137 Loss_D_fake 0.006319
[1200/5000][535/535][123838] Loss_D: -0.022799 Loss_G: 0.014403 Loss_D_real: -0.015987 Loss_D_fake 0.006812
[1201/5000][5/535][123839] Loss_D: -0.023180 Loss_G: 0.022321 Loss_D_real: -0.016200 Loss_D_fake 0.006980
[1201/5000][10/535][123840] Loss_D: -0.020554 Loss_G: 0.000098 Loss_D_real: -0.017371 Loss_D_fake 0.003183
[1201/5000][15/535][123841] Loss_D: -0.019808 Loss_G: 0.002263 Loss_D_real: -0.004331 Loss_D_fake 0.015476
[1201/5000][20/535][123842] Loss_D: -0.019464 Loss_G: 0.005442 Loss_D_real: -0.018057 Loss_D_fake 0.001407
[1201/5000][25/535][123843] Loss_D: -0.020619 Loss_G: -0.000280 Loss_D_real: -0.004956 Loss_D_fake 0.015663
[1201/5000][30/535][123844] Loss_D: -0.020589 Loss_G: 0.026960 Loss_D_real: -0.025705 Loss_D_fake -0.005116
[1201/5000][35/535][123845] Loss_D: -0.018483 Loss_G: -0.012337 Loss_D_real: -0.004680 Loss_D_fake 0.013804
[1201/5000][40/535][123846] Loss_D: -0.019494 Loss_G: 0.026595 Loss_D_real: -0.032006 Loss_D_fake -0.012511
[1201/5000][45/535][123847] Loss_D: -0.019372 Loss_G: -0.008655 Loss_D_real: -0.024868 Loss_D_fake -0.005496
[1201/5000][50/535][123848] Loss_D: -0.020458 Loss_G: 0.008185 Loss_D_real: -0.020225 Loss_D_fake 0.000233
[1201/5000][55/535][123849] Loss_D: -0.020797 Loss_G: 0.005295 Loss_D_real: -0.017276 Loss_D_fake 0.003522
[1201/5000][60/535][123850] Loss_D: -0.020761 Loss_G: -0.002681 Loss_D_real: -0.016733 Loss_D_fake 0.004028
[1201/5000][65/535][123851] Loss_D: -0.021516 Loss_G: 0.003389 Loss_D_real: -0.020452 Loss_D_fake 0.001064
[1201/5000][70/535][123852] Loss_D: -0.020755 Loss_G: -0.005283 Loss_D_real: -0.009738 Loss_D_fake 0.011017
[1201/5000][75/535][123853] Loss_D: -0.017937 Loss_G: 0.007689 Loss_D_real: -0.022720 Loss_D_fake -0.004784
[1201/5000][80/535][123854] Loss_D: -0.020242 Loss_G: 0.005363 Loss_D_real: -0.023976 Loss_D_fake -0.003734
[1201/5000][85/535][123855] Loss_D: -0.020980 Loss_G: -0.010988 Loss_D_real: -0.007067 Loss_D_fake 0.013913
[1201/5000][90/535][123856] Loss_D: -0.020322 Loss_G: 0.008166 Loss_D_real: -0.024007 Loss_D_fake -0.003685
[1201/5000][95/535][123857] Loss_D: -0.020204 Loss_G: 0.007500 Loss_D_real: -0.003854 Loss_D_fake 0.016350
[1201/5000][100/535][123858] Loss_D: -0.019398 Loss_G: -0.005788 Loss_D_real: -0.014439 Loss_D_fake 0.004959
[1201/5000][105/535][123859] Loss_D: -0.020406 Loss_G: -0.007344 Loss_D_real: -0.018804 Loss_D_fake 0.001602
[1201/5000][110/535][123860] Loss_D: -0.021028 Loss_G: 0.020994 Loss_D_real: -0.022609 Loss_D_fake -0.001581
[1201/5000][115/535][123861] Loss_D: -0.020552 Loss_G: 0.006626 Loss_D_real: -0.020556 Loss_D_fake -0.000004
[1201/5000][120/535][123862] Loss_D: -0.020883 Loss_G: -0.000417 Loss_D_real: -0.025150 Loss_D_fake -0.004267
[1201/5000][125/535][123863] Loss_D: -0.021611 Loss_G: 0.018039 Loss_D_real: -0.004529 Loss_D_fake 0.017082
[1201/5000][130/535][123864] Loss_D: -0.020679 Loss_G: -0.005085 Loss_D_real: -0.013457 Loss_D_fake 0.007223
[1201/5000][135/535][123865] Loss_D: -0.019112 Loss_G: -0.000138 Loss_D_real: -0.006312 Loss_D_fake 0.012800
[1201/5000][140/535][123866] Loss_D: -0.018112 Loss_G: 0.022911 Loss_D_real: -0.030620 Loss_D_fake -0.012508
[1201/5000][145/535][123867] Loss_D: -0.020462 Loss_G: -0.005151 Loss_D_real: -0.005517 Loss_D_fake 0.014945
[1201/5000][150/535][123868] Loss_D: -0.020247 Loss_G: 0.015244 Loss_D_real: -0.021545 Loss_D_fake -0.001298
[1201/5000][155/535][123869] Loss_D: -0.019512 Loss_G: -0.009451 Loss_D_real: -0.001690 Loss_D_fake 0.017822
[1201/5000][160/535][123870] Loss_D: -0.020969 Loss_G: 0.025989 Loss_D_real: -0.021203 Loss_D_fake -0.000233
[1201/5000][165/535][123871] Loss_D: -0.021053 Loss_G: 0.005938 Loss_D_real: -0.011724 Loss_D_fake 0.009329
[1201/5000][170/535][123872] Loss_D: -0.020328 Loss_G: 0.009303 Loss_D_real: -0.023064 Loss_D_fake -0.002737
[1201/5000][175/535][123873] Loss_D: -0.019667 Loss_G: -0.001963 Loss_D_real: -0.020948 Loss_D_fake -0.001281
[1201/5000][180/535][123874] Loss_D: -0.019611 Loss_G: 0.021698 Loss_D_real: -0.033885 Loss_D_fake -0.014275
[1201/5000][185/535][123875] Loss_D: -0.020918 Loss_G: -0.002765 Loss_D_real: -0.014191 Loss_D_fake 0.006727
[1201/5000][190/535][123876] Loss_D: -0.020021 Loss_G: 0.001275 Loss_D_real: -0.019019 Loss_D_fake 0.001002
[1201/5000][195/535][123877] Loss_D: -0.020125 Loss_G: 0.010707 Loss_D_real: -0.022519 Loss_D_fake -0.002394
[1201/5000][200/535][123878] Loss_D: -0.021045 Loss_G: -0.004771 Loss_D_real: -0.012849 Loss_D_fake 0.008196
[1201/5000][205/535][123879] Loss_D: -0.020280 Loss_G: 0.031736 Loss_D_real: -0.029559 Loss_D_fake -0.009279
[1201/5000][210/535][123880] Loss_D: -0.019957 Loss_G: 0.005265 Loss_D_real: -0.015845 Loss_D_fake 0.004112
[1201/5000][215/535][123881] Loss_D: -0.020736 Loss_G: 0.012781 Loss_D_real: -0.036907 Loss_D_fake -0.016170
[1201/5000][220/535][123882] Loss_D: -0.020788 Loss_G: -0.009023 Loss_D_real: -0.017869 Loss_D_fake 0.002919
[1201/5000][225/535][123883] Loss_D: -0.019931 Loss_G: 0.007525 Loss_D_real: -0.015976 Loss_D_fake 0.003955
[1201/5000][230/535][123884] Loss_D: -0.020528 Loss_G: 0.017186 Loss_D_real: -0.024425 Loss_D_fake -0.003897
[1201/5000][235/535][123885] Loss_D: -0.021733 Loss_G: 0.012756 Loss_D_real: -0.027821 Loss_D_fake -0.006087
[1201/5000][240/535][123886] Loss_D: -0.019380 Loss_G: 0.016300 Loss_D_real: -0.035494 Loss_D_fake -0.016114
[1201/5000][245/535][123887] Loss_D: -0.020389 Loss_G: 0.002896 Loss_D_real: -0.017409 Loss_D_fake 0.002980
[1201/5000][250/535][123888] Loss_D: -0.018954 Loss_G: 0.029523 Loss_D_real: -0.032217 Loss_D_fake -0.013263
[1201/5000][255/535][123889] Loss_D: -0.018662 Loss_G: 0.005915 Loss_D_real: -0.024553 Loss_D_fake -0.005890
[1201/5000][260/535][123890] Loss_D: -0.021097 Loss_G: 0.009241 Loss_D_real: -0.020593 Loss_D_fake 0.000503
[1201/5000][265/535][123891] Loss_D: -0.020522 Loss_G: 0.019461 Loss_D_real: -0.026888 Loss_D_fake -0.006366
[1201/5000][270/535][123892] Loss_D: -0.020714 Loss_G: 0.008433 Loss_D_real: -0.014947 Loss_D_fake 0.005767
[1201/5000][275/535][123893] Loss_D: -0.020353 Loss_G: 0.012526 Loss_D_real: -0.030511 Loss_D_fake -0.010158
[1201/5000][280/535][123894] Loss_D: -0.018352 Loss_G: 0.002762 Loss_D_real: -0.027365 Loss_D_fake -0.009013
[1201/5000][285/535][123895] Loss_D: -0.020618 Loss_G: 0.015367 Loss_D_real: -0.020073 Loss_D_fake 0.000544
[1201/5000][290/535][123896] Loss_D: -0.020237 Loss_G: -0.013254 Loss_D_real: -0.013406 Loss_D_fake 0.006831
[1201/5000][295/535][123897] Loss_D: -0.019468 Loss_G: -0.001766 Loss_D_real: -0.004973 Loss_D_fake 0.014495
[1201/5000][300/535][123898] Loss_D: -0.021122 Loss_G: 0.014806 Loss_D_real: -0.023622 Loss_D_fake -0.002500
[1201/5000][305/535][123899] Loss_D: -0.020797 Loss_G: 0.020773 Loss_D_real: -0.022091 Loss_D_fake -0.001294
[1201/5000][310/535][123900] Loss_D: -0.021455 Loss_G: -0.005934 Loss_D_real: -0.015169 Loss_D_fake 0.006286
[1201/5000][315/535][123901] Loss_D: -0.021012 Loss_G: -0.007591 Loss_D_real: -0.012376 Loss_D_fake 0.008636
[1201/5000][320/535][123902] Loss_D: -0.020170 Loss_G: -0.005191 Loss_D_real: -0.014586 Loss_D_fake 0.005584
[1201/5000][325/535][123903] Loss_D: -0.020984 Loss_G: 0.009988 Loss_D_real: -0.023346 Loss_D_fake -0.002362
[1201/5000][330/535][123904] Loss_D: -0.020032 Loss_G: 0.025714 Loss_D_real: -0.027485 Loss_D_fake -0.007453
[1201/5000][335/535][123905] Loss_D: -0.021323 Loss_G: 0.016825 Loss_D_real: -0.021920 Loss_D_fake -0.000597
[1201/5000][340/535][123906] Loss_D: -0.020724 Loss_G: -0.004336 Loss_D_real: -0.016661 Loss_D_fake 0.004063
[1201/5000][345/535][123907] Loss_D: -0.020753 Loss_G: 0.010160 Loss_D_real: -0.020944 Loss_D_fake -0.000191
[1201/5000][350/535][123908] Loss_D: -0.019784 Loss_G: 0.017667 Loss_D_real: -0.016600 Loss_D_fake 0.003184
[1201/5000][355/535][123909] Loss_D: -0.021146 Loss_G: -0.002416 Loss_D_real: -0.001322 Loss_D_fake 0.019824
[1201/5000][360/535][123910] Loss_D: -0.019015 Loss_G: 0.023340 Loss_D_real: -0.031313 Loss_D_fake -0.012298
[1201/5000][365/535][123911] Loss_D: -0.019812 Loss_G: 0.000357 Loss_D_real: -0.011483 Loss_D_fake 0.008329
[1201/5000][370/535][123912] Loss_D: -0.020685 Loss_G: 0.013426 Loss_D_real: -0.022003 Loss_D_fake -0.001318
[1201/5000][375/535][123913] Loss_D: -0.021190 Loss_G: 0.006986 Loss_D_real: -0.012613 Loss_D_fake 0.008577
[1201/5000][380/535][123914] Loss_D: -0.020546 Loss_G: 0.007537 Loss_D_real: -0.022615 Loss_D_fake -0.002069
[1201/5000][385/535][123915] Loss_D: -0.022689 Loss_G: 0.016954 Loss_D_real: -0.020719 Loss_D_fake 0.001970
[1201/5000][390/535][123916] Loss_D: -0.019549 Loss_G: 0.024191 Loss_D_real: -0.029324 Loss_D_fake -0.009775
[1201/5000][395/535][123917] Loss_D: -0.019259 Loss_G: 0.024562 Loss_D_real: -0.028849 Loss_D_fake -0.009590
[1201/5000][400/535][123918] Loss_D: -0.018821 Loss_G: 0.012712 Loss_D_real: -0.021935 Loss_D_fake -0.003113
[1201/5000][405/535][123919] Loss_D: -0.019772 Loss_G: -0.000139 Loss_D_real: 0.001236 Loss_D_fake 0.021008
[1201/5000][410/535][123920] Loss_D: -0.020063 Loss_G: 0.006983 Loss_D_real: -0.009909 Loss_D_fake 0.010154
[1201/5000][415/535][123921] Loss_D: -0.020754 Loss_G: 0.014782 Loss_D_real: -0.019125 Loss_D_fake 0.001629
[1201/5000][420/535][123922] Loss_D: -0.020691 Loss_G: 0.003181 Loss_D_real: -0.010347 Loss_D_fake 0.010344
[1201/5000][425/535][123923] Loss_D: -0.020676 Loss_G: 0.006487 Loss_D_real: -0.016525 Loss_D_fake 0.004151
[1201/5000][430/535][123924] Loss_D: -0.020648 Loss_G: 0.000754 Loss_D_real: -0.012788 Loss_D_fake 0.007860
[1201/5000][435/535][123925] Loss_D: -0.021105 Loss_G: 0.011909 Loss_D_real: -0.026932 Loss_D_fake -0.005827
[1201/5000][440/535][123926] Loss_D: -0.021341 Loss_G: -0.006971 Loss_D_real: -0.016936 Loss_D_fake 0.004405
[1201/5000][445/535][123927] Loss_D: -0.019554 Loss_G: 0.015665 Loss_D_real: -0.017591 Loss_D_fake 0.001963
[1201/5000][450/535][123928] Loss_D: -0.020626 Loss_G: 0.009000 Loss_D_real: -0.028953 Loss_D_fake -0.008327
[1201/5000][455/535][123929] Loss_D: -0.019825 Loss_G: -0.009518 Loss_D_real: 0.002549 Loss_D_fake 0.022374
[1201/5000][460/535][123930] Loss_D: -0.019697 Loss_G: -0.000757 Loss_D_real: -0.017356 Loss_D_fake 0.002341
[1201/5000][465/535][123931] Loss_D: -0.020472 Loss_G: 0.011678 Loss_D_real: -0.021883 Loss_D_fake -0.001410
[1201/5000][470/535][123932] Loss_D: -0.019677 Loss_G: -0.010671 Loss_D_real: -0.010848 Loss_D_fake 0.008828
[1201/5000][475/535][123933] Loss_D: -0.020110 Loss_G: -0.001997 Loss_D_real: -0.018377 Loss_D_fake 0.001733
[1201/5000][480/535][123934] Loss_D: -0.019412 Loss_G: 0.014171 Loss_D_real: -0.029894 Loss_D_fake -0.010482
[1201/5000][485/535][123935] Loss_D: -0.021500 Loss_G: 0.014350 Loss_D_real: -0.017113 Loss_D_fake 0.004387
[1201/5000][490/535][123936] Loss_D: -0.021485 Loss_G: 0.012359 Loss_D_real: -0.025937 Loss_D_fake -0.004451
[1201/5000][495/535][123937] Loss_D: -0.020812 Loss_G: 0.023026 Loss_D_real: -0.023971 Loss_D_fake -0.003159
[1201/5000][500/535][123938] Loss_D: -0.021385 Loss_G: 0.004389 Loss_D_real: -0.026108 Loss_D_fake -0.004722
[1201/5000][505/535][123939] Loss_D: -0.021409 Loss_G: 0.005847 Loss_D_real: -0.011822 Loss_D_fake 0.009587
[1201/5000][510/535][123940] Loss_D: -0.020152 Loss_G: -0.008687 Loss_D_real: -0.006963 Loss_D_fake 0.013188
[1201/5000][515/535][123941] Loss_D: -0.019192 Loss_G: 0.022237 Loss_D_real: -0.023031 Loss_D_fake -0.003840
[1201/5000][520/535][123942] Loss_D: -0.018638 Loss_G: -0.010425 Loss_D_real: -0.009578 Loss_D_fake 0.009061
[1201/5000][525/535][123943] Loss_D: -0.019389 Loss_G: 0.019674 Loss_D_real: -0.026139 Loss_D_fake -0.006750
[1201/5000][530/535][123944] Loss_D: -0.019414 Loss_G: -0.015995 Loss_D_real: -0.002804 Loss_D_fake 0.016610
[1201/5000][535/535][123945] Loss_D: -0.023912 Loss_G: 0.007847 Loss_D_real: -0.010526 Loss_D_fake 0.013386
[1202/5000][5/535][123946] Loss_D: -0.021761 Loss_G: 0.008673 Loss_D_real: -0.020151 Loss_D_fake 0.001610
[1202/5000][10/535][123947] Loss_D: -0.020314 Loss_G: 0.007404 Loss_D_real: -0.021096 Loss_D_fake -0.000782
[1202/5000][15/535][123948] Loss_D: -0.021066 Loss_G: 0.010701 Loss_D_real: -0.022607 Loss_D_fake -0.001541
[1202/5000][20/535][123949] Loss_D: -0.019671 Loss_G: 0.009362 Loss_D_real: -0.013483 Loss_D_fake 0.006188
[1202/5000][25/535][123950] Loss_D: -0.020533 Loss_G: 0.009491 Loss_D_real: -0.025359 Loss_D_fake -0.004826
[1202/5000][30/535][123951] Loss_D: -0.021008 Loss_G: -0.004712 Loss_D_real: -0.005044 Loss_D_fake 0.015965
[1202/5000][35/535][123952] Loss_D: -0.020021 Loss_G: 0.023281 Loss_D_real: -0.028744 Loss_D_fake -0.008723
[1202/5000][40/535][123953] Loss_D: -0.019657 Loss_G: 0.020407 Loss_D_real: -0.025827 Loss_D_fake -0.006170
[1202/5000][45/535][123954] Loss_D: -0.020459 Loss_G: 0.003053 Loss_D_real: -0.017382 Loss_D_fake 0.003077
[1202/5000][50/535][123955] Loss_D: -0.019999 Loss_G: 0.026575 Loss_D_real: -0.027423 Loss_D_fake -0.007423
[1202/5000][55/535][123956] Loss_D: -0.019864 Loss_G: 0.009853 Loss_D_real: -0.032192 Loss_D_fake -0.012327
[1202/5000][60/535][123957] Loss_D: -0.019726 Loss_G: 0.009267 Loss_D_real: -0.029704 Loss_D_fake -0.009979
[1202/5000][65/535][123958] Loss_D: -0.020420 Loss_G: -0.004419 Loss_D_real: -0.026039 Loss_D_fake -0.005619
[1202/5000][70/535][123959] Loss_D: -0.020762 Loss_G: 0.015175 Loss_D_real: -0.024391 Loss_D_fake -0.003629
[1202/5000][75/535][123960] Loss_D: -0.021481 Loss_G: 0.009323 Loss_D_real: -0.022855 Loss_D_fake -0.001373
[1202/5000][80/535][123961] Loss_D: -0.021732 Loss_G: 0.003056 Loss_D_real: -0.018592 Loss_D_fake 0.003140
[1202/5000][85/535][123962] Loss_D: -0.020431 Loss_G: 0.020974 Loss_D_real: -0.032205 Loss_D_fake -0.011773
[1202/5000][90/535][123963] Loss_D: -0.019889 Loss_G: 0.005063 Loss_D_real: -0.023937 Loss_D_fake -0.004049
[1202/5000][95/535][123964] Loss_D: -0.019661 Loss_G: 0.020092 Loss_D_real: -0.033998 Loss_D_fake -0.014336
[1202/5000][100/535][123965] Loss_D: -0.020309 Loss_G: 0.002980 Loss_D_real: -0.005076 Loss_D_fake 0.015234
[1202/5000][105/535][123966] Loss_D: -0.021133 Loss_G: 0.000620 Loss_D_real: -0.018333 Loss_D_fake 0.002800
[1202/5000][110/535][123967] Loss_D: -0.020429 Loss_G: 0.007722 Loss_D_real: -0.026148 Loss_D_fake -0.005719
[1202/5000][115/535][123968] Loss_D: -0.020715 Loss_G: 0.009639 Loss_D_real: -0.016306 Loss_D_fake 0.004409
[1202/5000][120/535][123969] Loss_D: -0.020054 Loss_G: -0.005369 Loss_D_real: -0.009847 Loss_D_fake 0.010208
[1202/5000][125/535][123970] Loss_D: -0.020402 Loss_G: 0.015283 Loss_D_real: -0.025350 Loss_D_fake -0.004948
[1202/5000][130/535][123971] Loss_D: -0.019649 Loss_G: 0.020588 Loss_D_real: -0.026776 Loss_D_fake -0.007127
[1202/5000][135/535][123972] Loss_D: -0.019834 Loss_G: 0.005662 Loss_D_real: -0.014114 Loss_D_fake 0.005720
[1202/5000][140/535][123973] Loss_D: -0.020372 Loss_G: 0.019427 Loss_D_real: -0.018422 Loss_D_fake 0.001949
[1202/5000][145/535][123974] Loss_D: -0.020853 Loss_G: 0.002760 Loss_D_real: -0.018514 Loss_D_fake 0.002339
[1202/5000][150/535][123975] Loss_D: -0.021132 Loss_G: -0.001415 Loss_D_real: -0.020365 Loss_D_fake 0.000767
[1202/5000][155/535][123976] Loss_D: -0.021079 Loss_G: 0.003066 Loss_D_real: -0.015168 Loss_D_fake 0.005911
[1202/5000][160/535][123977] Loss_D: -0.021312 Loss_G: 0.015817 Loss_D_real: -0.021768 Loss_D_fake -0.000456
[1202/5000][165/535][123978] Loss_D: -0.020917 Loss_G: -0.000239 Loss_D_real: -0.009141 Loss_D_fake 0.011775
[1202/5000][170/535][123979] Loss_D: -0.019019 Loss_G: 0.028116 Loss_D_real: -0.027426 Loss_D_fake -0.008407
[1202/5000][175/535][123980] Loss_D: -0.021196 Loss_G: 0.005953 Loss_D_real: -0.011867 Loss_D_fake 0.009329
[1202/5000][180/535][123981] Loss_D: -0.021618 Loss_G: -0.004257 Loss_D_real: -0.013421 Loss_D_fake 0.008198
[1202/5000][185/535][123982] Loss_D: -0.019792 Loss_G: 0.021710 Loss_D_real: -0.031446 Loss_D_fake -0.011654
[1202/5000][190/535][123983] Loss_D: -0.021167 Loss_G: -0.000684 Loss_D_real: -0.007926 Loss_D_fake 0.013241
[1202/5000][195/535][123984] Loss_D: -0.019948 Loss_G: 0.005174 Loss_D_real: -0.022230 Loss_D_fake -0.002282
[1202/5000][200/535][123985] Loss_D: -0.020846 Loss_G: 0.015357 Loss_D_real: -0.017335 Loss_D_fake 0.003511
[1202/5000][205/535][123986] Loss_D: -0.020705 Loss_G: -0.016066 Loss_D_real: -0.016136 Loss_D_fake 0.004569
[1202/5000][210/535][123987] Loss_D: -0.021311 Loss_G: 0.019101 Loss_D_real: -0.012709 Loss_D_fake 0.008602
[1202/5000][215/535][123988] Loss_D: -0.019605 Loss_G: -0.014343 Loss_D_real: -0.002582 Loss_D_fake 0.017023
[1202/5000][220/535][123989] Loss_D: -0.020348 Loss_G: -0.010955 Loss_D_real: -0.017713 Loss_D_fake 0.002635
[1202/5000][225/535][123990] Loss_D: -0.020437 Loss_G: 0.009140 Loss_D_real: -0.018220 Loss_D_fake 0.002217
[1202/5000][230/535][123991] Loss_D: -0.021018 Loss_G: -0.005259 Loss_D_real: -0.006447 Loss_D_fake 0.014571
[1202/5000][235/535][123992] Loss_D: -0.020489 Loss_G: 0.018226 Loss_D_real: -0.025463 Loss_D_fake -0.004974
[1202/5000][240/535][123993] Loss_D: -0.020175 Loss_G: -0.008306 Loss_D_real: -0.016934 Loss_D_fake 0.003240
[1202/5000][245/535][123994] Loss_D: -0.020385 Loss_G: -0.009273 Loss_D_real: -0.004588 Loss_D_fake 0.015797
[1202/5000][250/535][123995] Loss_D: -0.020582 Loss_G: 0.014326 Loss_D_real: -0.028449 Loss_D_fake -0.007867
[1202/5000][255/535][123996] Loss_D: -0.017779 Loss_G: -0.016325 Loss_D_real: -0.004099 Loss_D_fake 0.013679
[1202/5000][260/535][123997] Loss_D: -0.021912 Loss_G: 0.013431 Loss_D_real: -0.022719 Loss_D_fake -0.000808
[1202/5000][265/535][123998] Loss_D: -0.020171 Loss_G: 0.003667 Loss_D_real: -0.017704 Loss_D_fake 0.002467
[1202/5000][270/535][123999] Loss_D: -0.020446 Loss_G: 0.001654 Loss_D_real: -0.025245 Loss_D_fake -0.004799
[1202/5000][275/535][124000] Loss_D: -0.020378 Loss_G: -0.000871 Loss_D_real: -0.021545 Loss_D_fake -0.001168
[1202/5000][375/535][124001] Loss_D: -0.022199 Loss_G: -0.002083 Loss_D_real: -0.008012 Loss_D_fake 0.014187
[1202/5000][380/535][124002] Loss_D: -0.018975 Loss_G: 0.021790 Loss_D_real: -0.026866 Loss_D_fake -0.007891
[1202/5000][385/535][124003] Loss_D: -0.019517 Loss_G: 0.008961 Loss_D_real: -0.016352 Loss_D_fake 0.003165
[1202/5000][390/535][124004] Loss_D: -0.020472 Loss_G: 0.021208 Loss_D_real: -0.025617 Loss_D_fake -0.005145
[1202/5000][395/535][124005] Loss_D: -0.021269 Loss_G: 0.003430 Loss_D_real: -0.018711 Loss_D_fake 0.002557
[1202/5000][400/535][124006] Loss_D: -0.019542 Loss_G: 0.013612 Loss_D_real: -0.027327 Loss_D_fake -0.007785
[1202/5000][405/535][124007] Loss_D: -0.020180 Loss_G: 0.002670 Loss_D_real: -0.015209 Loss_D_fake 0.004971
[1202/5000][410/535][124008] Loss_D: -0.020433 Loss_G: -0.000252 Loss_D_real: -0.010397 Loss_D_fake 0.010036
[1202/5000][415/535][124009] Loss_D: -0.021645 Loss_G: 0.009757 Loss_D_real: -0.019335 Loss_D_fake 0.002310
[1202/5000][420/535][124010] Loss_D: -0.018984 Loss_G: 0.017283 Loss_D_real: -0.028727 Loss_D_fake -0.009743
[1202/5000][425/535][124011] Loss_D: -0.021890 Loss_G: -0.025097 Loss_D_real: -0.008534 Loss_D_fake 0.013356
[1202/5000][430/535][124012] Loss_D: -0.019259 Loss_G: 0.017865 Loss_D_real: -0.018321 Loss_D_fake 0.000938
[1202/5000][435/535][124013] Loss_D: -0.021555 Loss_G: -0.006670 Loss_D_real: -0.015787 Loss_D_fake 0.005769
[1202/5000][440/535][124014] Loss_D: -0.020733 Loss_G: 0.004407 Loss_D_real: -0.010787 Loss_D_fake 0.009946
[1202/5000][445/535][124015] Loss_D: -0.019594 Loss_G: -0.004612 Loss_D_real: -0.015208 Loss_D_fake 0.004387
[1202/5000][450/535][124016] Loss_D: -0.020136 Loss_G: 0.011545 Loss_D_real: -0.027329 Loss_D_fake -0.007193
[1202/5000][455/535][124017] Loss_D: -0.020627 Loss_G: 0.013188 Loss_D_real: -0.025210 Loss_D_fake -0.004583
[1202/5000][460/535][124018] Loss_D: -0.020621 Loss_G: 0.004322 Loss_D_real: -0.012723 Loss_D_fake 0.007898
[1202/5000][465/535][124019] Loss_D: -0.020794 Loss_G: 0.004996 Loss_D_real: -0.010706 Loss_D_fake 0.010089
[1202/5000][470/535][124020] Loss_D: -0.020688 Loss_G: 0.014454 Loss_D_real: -0.029298 Loss_D_fake -0.008610
[1202/5000][475/535][124021] Loss_D: -0.021621 Loss_G: 0.006064 Loss_D_real: -0.014816 Loss_D_fake 0.006805
[1202/5000][480/535][124022] Loss_D: -0.020210 Loss_G: 0.013740 Loss_D_real: -0.017373 Loss_D_fake 0.002837
[1202/5000][485/535][124023] Loss_D: -0.019829 Loss_G: 0.009230 Loss_D_real: -0.025393 Loss_D_fake -0.005564
[1202/5000][490/535][124024] Loss_D: -0.018726 Loss_G: -0.014465 Loss_D_real: -0.005478 Loss_D_fake 0.013248
[1202/5000][495/535][124025] Loss_D: -0.021301 Loss_G: 0.002501 Loss_D_real: -0.004393 Loss_D_fake 0.016908
[1202/5000][500/535][124026] Loss_D: -0.020158 Loss_G: -0.004603 Loss_D_real: -0.007495 Loss_D_fake 0.012663
[1202/5000][505/535][124027] Loss_D: -0.020419 Loss_G: 0.005877 Loss_D_real: -0.007487 Loss_D_fake 0.012933
[1202/5000][510/535][124028] Loss_D: -0.021066 Loss_G: 0.032293 Loss_D_real: -0.025840 Loss_D_fake -0.004774
[1202/5000][515/535][124029] Loss_D: -0.020654 Loss_G: 0.004937 Loss_D_real: -0.018169 Loss_D_fake 0.002485
[1202/5000][520/535][124030] Loss_D: -0.019535 Loss_G: 0.017258 Loss_D_real: -0.035612 Loss_D_fake -0.016078
[1202/5000][525/535][124031] Loss_D: -0.020321 Loss_G: -0.003551 Loss_D_real: -0.011978 Loss_D_fake 0.008342
[1202/5000][530/535][124032] Loss_D: -0.018279 Loss_G: 0.011222 Loss_D_real: -0.026604 Loss_D_fake -0.008326
[1202/5000][535/535][124033] Loss_D: -0.020954 Loss_G: -0.003519 Loss_D_real: -0.018106 Loss_D_fake 0.002847
[1203/5000][5/535][124034] Loss_D: -0.021601 Loss_G: 0.009002 Loss_D_real: -0.017432 Loss_D_fake 0.004168
[1203/5000][10/535][124035] Loss_D: -0.022075 Loss_G: 0.014504 Loss_D_real: -0.020163 Loss_D_fake 0.001911
[1203/5000][15/535][124036] Loss_D: -0.021082 Loss_G: -0.001245 Loss_D_real: -0.002188 Loss_D_fake 0.018893
[1203/5000][20/535][124037] Loss_D: -0.021113 Loss_G: 0.009355 Loss_D_real: -0.001268 Loss_D_fake 0.019845
[1203/5000][25/535][124038] Loss_D: -0.020173 Loss_G: 0.006955 Loss_D_real: -0.020910 Loss_D_fake -0.000736
[1203/5000][30/535][124039] Loss_D: -0.020110 Loss_G: -0.007725 Loss_D_real: -0.010006 Loss_D_fake 0.010103
[1203/5000][35/535][124040] Loss_D: -0.020508 Loss_G: -0.001935 Loss_D_real: -0.012337 Loss_D_fake 0.008171
[1203/5000][40/535][124041] Loss_D: -0.020315 Loss_G: 0.015674 Loss_D_real: -0.020831 Loss_D_fake -0.000516
[1203/5000][45/535][124042] Loss_D: -0.019871 Loss_G: -0.002162 Loss_D_real: -0.008992 Loss_D_fake 0.010880
[1203/5000][50/535][124043] Loss_D: -0.020588 Loss_G: 0.007751 Loss_D_real: -0.009498 Loss_D_fake 0.011090
[1203/5000][55/535][124044] Loss_D: -0.019969 Loss_G: -0.006765 Loss_D_real: -0.005644 Loss_D_fake 0.014326
[1203/5000][60/535][124045] Loss_D: -0.018262 Loss_G: 0.014623 Loss_D_real: -0.041202 Loss_D_fake -0.022940
[1203/5000][65/535][124046] Loss_D: -0.019997 Loss_G: 0.000673 Loss_D_real: -0.018299 Loss_D_fake 0.001698
[1203/5000][70/535][124047] Loss_D: -0.019925 Loss_G: 0.008891 Loss_D_real: -0.018793 Loss_D_fake 0.001132
[1203/5000][75/535][124048] Loss_D: -0.019802 Loss_G: 0.004015 Loss_D_real: -0.015443 Loss_D_fake 0.004359
[1203/5000][80/535][124049] Loss_D: -0.019809 Loss_G: 0.010193 Loss_D_real: -0.017866 Loss_D_fake 0.001943
[1203/5000][85/535][124050] Loss_D: -0.019677 Loss_G: 0.011813 Loss_D_real: -0.030703 Loss_D_fake -0.011026
[1203/5000][90/535][124051] Loss_D: -0.019575 Loss_G: 0.004114 Loss_D_real: -0.014941 Loss_D_fake 0.004634
[1203/5000][95/535][124052] Loss_D: -0.020463 Loss_G: 0.010212 Loss_D_real: -0.025078 Loss_D_fake -0.004615
[1203/5000][100/535][124053] Loss_D: -0.020956 Loss_G: 0.014161 Loss_D_real: -0.011522 Loss_D_fake 0.009435
[1203/5000][105/535][124054] Loss_D: -0.021081 Loss_G: 0.003292 Loss_D_real: -0.022898 Loss_D_fake -0.001817
[1203/5000][110/535][124055] Loss_D: -0.020922 Loss_G: 0.007910 Loss_D_real: -0.011933 Loss_D_fake 0.008989
[1203/5000][115/535][124056] Loss_D: -0.019769 Loss_G: -0.019904 Loss_D_real: 0.003577 Loss_D_fake 0.023345
[1203/5000][120/535][124057] Loss_D: -0.020457 Loss_G: 0.003071 Loss_D_real: -0.010591 Loss_D_fake 0.009866
[1203/5000][125/535][124058] Loss_D: -0.019423 Loss_G: 0.020705 Loss_D_real: -0.029179 Loss_D_fake -0.009757
[1203/5000][130/535][124059] Loss_D: -0.019169 Loss_G: 0.014218 Loss_D_real: -0.029079 Loss_D_fake -0.009910
[1203/5000][135/535][124060] Loss_D: -0.020130 Loss_G: 0.007252 Loss_D_real: -0.019546 Loss_D_fake 0.000585
[1203/5000][140/535][124061] Loss_D: -0.021420 Loss_G: 0.007441 Loss_D_real: -0.009174 Loss_D_fake 0.012247
[1203/5000][145/535][124062] Loss_D: -0.021603 Loss_G: 0.014951 Loss_D_real: -0.034905 Loss_D_fake -0.013302
[1203/5000][150/535][124063] Loss_D: -0.020827 Loss_G: 0.017143 Loss_D_real: -0.023998 Loss_D_fake -0.003171
[1203/5000][155/535][124064] Loss_D: -0.020263 Loss_G: 0.019865 Loss_D_real: -0.022583 Loss_D_fake -0.002320
[1203/5000][160/535][124065] Loss_D: -0.019760 Loss_G: 0.037221 Loss_D_real: -0.032154 Loss_D_fake -0.012394
[1203/5000][165/535][124066] Loss_D: -0.020580 Loss_G: -0.007509 Loss_D_real: -0.009166 Loss_D_fake 0.011414
[1203/5000][170/535][124067] Loss_D: -0.019932 Loss_G: -0.000526 Loss_D_real: -0.001568 Loss_D_fake 0.018364
[1203/5000][175/535][124068] Loss_D: -0.020626 Loss_G: 0.017640 Loss_D_real: -0.030795 Loss_D_fake -0.010168
[1203/5000][180/535][124069] Loss_D: -0.020343 Loss_G: 0.020414 Loss_D_real: -0.017794 Loss_D_fake 0.002549
[1203/5000][185/535][124070] Loss_D: -0.021188 Loss_G: 0.009078 Loss_D_real: -0.011091 Loss_D_fake 0.010097
[1203/5000][190/535][124071] Loss_D: -0.020461 Loss_G: 0.001937 Loss_D_real: -0.019016 Loss_D_fake 0.001445
[1203/5000][195/535][124072] Loss_D: -0.020394 Loss_G: 0.016398 Loss_D_real: -0.026427 Loss_D_fake -0.006034
[1203/5000][200/535][124073] Loss_D: -0.020819 Loss_G: -0.022070 Loss_D_real: 0.002111 Loss_D_fake 0.022929
[1203/5000][205/535][124074] Loss_D: -0.020739 Loss_G: 0.014756 Loss_D_real: -0.035453 Loss_D_fake -0.014714
[1203/5000][210/535][124075] Loss_D: -0.018715 Loss_G: -0.016600 Loss_D_real: -0.000354 Loss_D_fake 0.018361
[1203/5000][215/535][124076] Loss_D: -0.017667 Loss_G: 0.024843 Loss_D_real: -0.033757 Loss_D_fake -0.016090
[1203/5000][220/535][124077] Loss_D: -0.020600 Loss_G: -0.005566 Loss_D_real: -0.010004 Loss_D_fake 0.010596
[1203/5000][225/535][124078] Loss_D: -0.019775 Loss_G: 0.006493 Loss_D_real: -0.012231 Loss_D_fake 0.007544
[1203/5000][230/535][124079] Loss_D: -0.020495 Loss_G: -0.013116 Loss_D_real: -0.002183 Loss_D_fake 0.018311
[1203/5000][235/535][124080] Loss_D: -0.020169 Loss_G: 0.005873 Loss_D_real: -0.010996 Loss_D_fake 0.009174
[1203/5000][240/535][124081] Loss_D: -0.019973 Loss_G: 0.013233 Loss_D_real: -0.021942 Loss_D_fake -0.001969
[1203/5000][245/535][124082] Loss_D: -0.021186 Loss_G: 0.004838 Loss_D_real: -0.001400 Loss_D_fake 0.019786
[1203/5000][250/535][124083] Loss_D: -0.020746 Loss_G: 0.003818 Loss_D_real: -0.023934 Loss_D_fake -0.003188
[1203/5000][255/535][124084] Loss_D: -0.020675 Loss_G: -0.006378 Loss_D_real: -0.006846 Loss_D_fake 0.013830
[1203/5000][260/535][124085] Loss_D: -0.019311 Loss_G: 0.019686 Loss_D_real: -0.025655 Loss_D_fake -0.006344
[1203/5000][265/535][124086] Loss_D: -0.021840 Loss_G: 0.039807 Loss_D_real: -0.027631 Loss_D_fake -0.005791
[1203/5000][270/535][124087] Loss_D: -0.021806 Loss_G: 0.010935 Loss_D_real: -0.013971 Loss_D_fake 0.007835
[1203/5000][275/535][124088] Loss_D: -0.019462 Loss_G: 0.010992 Loss_D_real: -0.018994 Loss_D_fake 0.000468
[1203/5000][280/535][124089] Loss_D: -0.022607 Loss_G: -0.013710 Loss_D_real: -0.022183 Loss_D_fake 0.000424
[1203/5000][285/535][124090] Loss_D: -0.018921 Loss_G: 0.022809 Loss_D_real: -0.033879 Loss_D_fake -0.014958
[1203/5000][290/535][124091] Loss_D: -0.020357 Loss_G: -0.004900 Loss_D_real: -0.007523 Loss_D_fake 0.012834
[1203/5000][295/535][124092] Loss_D: -0.020040 Loss_G: -0.002846 Loss_D_real: 0.001077 Loss_D_fake 0.021117
[1203/5000][300/535][124093] Loss_D: -0.019061 Loss_G: -0.002725 Loss_D_real: 0.004072 Loss_D_fake 0.023133
[1203/5000][305/535][124094] Loss_D: -0.020462 Loss_G: 0.010503 Loss_D_real: -0.017896 Loss_D_fake 0.002566
[1203/5000][310/535][124095] Loss_D: -0.020247 Loss_G: -0.006665 Loss_D_real: -0.015062 Loss_D_fake 0.005185
[1203/5000][315/535][124096] Loss_D: -0.020731 Loss_G: 0.029589 Loss_D_real: -0.018466 Loss_D_fake 0.002265
[1203/5000][320/535][124097] Loss_D: -0.020468 Loss_G: -0.004849 Loss_D_real: -0.007089 Loss_D_fake 0.013380
[1203/5000][325/535][124098] Loss_D: -0.019238 Loss_G: 0.005425 Loss_D_real: -0.023347 Loss_D_fake -0.004110
[1203/5000][330/535][124099] Loss_D: -0.020729 Loss_G: -0.005038 Loss_D_real: -0.018155 Loss_D_fake 0.002574
[1203/5000][335/535][124100] Loss_D: -0.019279 Loss_G: 0.026778 Loss_D_real: -0.030029 Loss_D_fake -0.010750
[1203/5000][340/535][124101] Loss_D: -0.019152 Loss_G: 0.013667 Loss_D_real: -0.030613 Loss_D_fake -0.011461
[1203/5000][345/535][124102] Loss_D: -0.020176 Loss_G: -0.026095 Loss_D_real: -0.001481 Loss_D_fake 0.018695
[1203/5000][350/535][124103] Loss_D: -0.019803 Loss_G: 0.011324 Loss_D_real: -0.028558 Loss_D_fake -0.008755
[1203/5000][355/535][124104] Loss_D: -0.020429 Loss_G: -0.000672 Loss_D_real: -0.014505 Loss_D_fake 0.005925
[1203/5000][360/535][124105] Loss_D: -0.019631 Loss_G: 0.026989 Loss_D_real: -0.029609 Loss_D_fake -0.009977
[1203/5000][365/535][124106] Loss_D: -0.019878 Loss_G: 0.012959 Loss_D_real: -0.029785 Loss_D_fake -0.009907
[1203/5000][370/535][124107] Loss_D: -0.021825 Loss_G: 0.002107 Loss_D_real: -0.024366 Loss_D_fake -0.002541
[1203/5000][375/535][124108] Loss_D: -0.021434 Loss_G: -0.015131 Loss_D_real: -0.008433 Loss_D_fake 0.013001
[1203/5000][380/535][124109] Loss_D: -0.020267 Loss_G: 0.013856 Loss_D_real: -0.030703 Loss_D_fake -0.010436
[1203/5000][385/535][124110] Loss_D: -0.019189 Loss_G: 0.006868 Loss_D_real: -0.019699 Loss_D_fake -0.000510
[1203/5000][390/535][124111] Loss_D: -0.020909 Loss_G: 0.019895 Loss_D_real: -0.028305 Loss_D_fake -0.007396
[1203/5000][395/535][124112] Loss_D: -0.020479 Loss_G: 0.018777 Loss_D_real: -0.028459 Loss_D_fake -0.007980
[1203/5000][400/535][124113] Loss_D: -0.020299 Loss_G: 0.004125 Loss_D_real: -0.016723 Loss_D_fake 0.003576
[1203/5000][405/535][124114] Loss_D: -0.019171 Loss_G: 0.013812 Loss_D_real: -0.025673 Loss_D_fake -0.006502
[1203/5000][410/535][124115] Loss_D: -0.020500 Loss_G: 0.019685 Loss_D_real: -0.033015 Loss_D_fake -0.012515
[1203/5000][415/535][124116] Loss_D: -0.021763 Loss_G: -0.003020 Loss_D_real: -0.017647 Loss_D_fake 0.004117
[1203/5000][420/535][124117] Loss_D: -0.020167 Loss_G: 0.024625 Loss_D_real: -0.026913 Loss_D_fake -0.006746
[1203/5000][425/535][124118] Loss_D: -0.020504 Loss_G: -0.004061 Loss_D_real: -0.015285 Loss_D_fake 0.005218
[1203/5000][430/535][124119] Loss_D: -0.019415 Loss_G: 0.002362 Loss_D_real: -0.028731 Loss_D_fake -0.009316
[1203/5000][435/535][124120] Loss_D: -0.021323 Loss_G: 0.001231 Loss_D_real: -0.007970 Loss_D_fake 0.013353
[1203/5000][440/535][124121] Loss_D: -0.019360 Loss_G: -0.005174 Loss_D_real: -0.016959 Loss_D_fake 0.002401
[1203/5000][445/535][124122] Loss_D: -0.020813 Loss_G: 0.021228 Loss_D_real: -0.024346 Loss_D_fake -0.003533
[1203/5000][450/535][124123] Loss_D: -0.020643 Loss_G: 0.007111 Loss_D_real: -0.017552 Loss_D_fake 0.003091
[1203/5000][455/535][124124] Loss_D: -0.021416 Loss_G: 0.015500 Loss_D_real: -0.019322 Loss_D_fake 0.002094
[1203/5000][460/535][124125] Loss_D: -0.020338 Loss_G: -0.014287 Loss_D_real: -0.008120 Loss_D_fake 0.012218
[1203/5000][465/535][124126] Loss_D: -0.021150 Loss_G: 0.003859 Loss_D_real: -0.018022 Loss_D_fake 0.003129
[1203/5000][470/535][124127] Loss_D: -0.018995 Loss_G: 0.016598 Loss_D_real: -0.029645 Loss_D_fake -0.010650
[1203/5000][475/535][124128] Loss_D: -0.019701 Loss_G: 0.023764 Loss_D_real: -0.025028 Loss_D_fake -0.005327
[1203/5000][480/535][124129] Loss_D: -0.019020 Loss_G: 0.010728 Loss_D_real: -0.028406 Loss_D_fake -0.009385
[1203/5000][485/535][124130] Loss_D: -0.019450 Loss_G: 0.024356 Loss_D_real: -0.032729 Loss_D_fake -0.013278
[1203/5000][490/535][124131] Loss_D: -0.020635 Loss_G: 0.017399 Loss_D_real: -0.024423 Loss_D_fake -0.003789
[1203/5000][495/535][124132] Loss_D: -0.021445 Loss_G: -0.011474 Loss_D_real: -0.007885 Loss_D_fake 0.013560
[1203/5000][500/535][124133] Loss_D: -0.020045 Loss_G: 0.001226 Loss_D_real: -0.012142 Loss_D_fake 0.007904
[1203/5000][505/535][124134] Loss_D: -0.020351 Loss_G: 0.028609 Loss_D_real: -0.020259 Loss_D_fake 0.000092
[1203/5000][510/535][124135] Loss_D: -0.020534 Loss_G: 0.012041 Loss_D_real: -0.016967 Loss_D_fake 0.003567
[1203/5000][515/535][124136] Loss_D: -0.019739 Loss_G: 0.022960 Loss_D_real: -0.027786 Loss_D_fake -0.008047
[1203/5000][520/535][124137] Loss_D: -0.020252 Loss_G: 0.021747 Loss_D_real: -0.024287 Loss_D_fake -0.004035
[1203/5000][525/535][124138] Loss_D: -0.019041 Loss_G: 0.014631 Loss_D_real: -0.014612 Loss_D_fake 0.004429
[1203/5000][530/535][124139] Loss_D: -0.020123 Loss_G: 0.011639 Loss_D_real: -0.025679 Loss_D_fake -0.005555
[1203/5000][535/535][124140] Loss_D: -0.024385 Loss_G: -0.006950 Loss_D_real: -0.016890 Loss_D_fake 0.007495
[1204/5000][5/535][124141] Loss_D: -0.020940 Loss_G: -0.002868 Loss_D_real: -0.009962 Loss_D_fake 0.010979
[1204/5000][10/535][124142] Loss_D: -0.019422 Loss_G: 0.021732 Loss_D_real: -0.029887 Loss_D_fake -0.010465
[1204/5000][15/535][124143] Loss_D: -0.019432 Loss_G: 0.017773 Loss_D_real: -0.026473 Loss_D_fake -0.007041
[1204/5000][20/535][124144] Loss_D: -0.019050 Loss_G: -0.013357 Loss_D_real: -0.012754 Loss_D_fake 0.006297
[1204/5000][25/535][124145] Loss_D: -0.020890 Loss_G: 0.008429 Loss_D_real: -0.015398 Loss_D_fake 0.005493
[1204/5000][30/535][124146] Loss_D: -0.020361 Loss_G: 0.012907 Loss_D_real: -0.019077 Loss_D_fake 0.001284
[1204/5000][35/535][124147] Loss_D: -0.020692 Loss_G: 0.013368 Loss_D_real: -0.026585 Loss_D_fake -0.005893
[1204/5000][40/535][124148] Loss_D: -0.021234 Loss_G: -0.007854 Loss_D_real: -0.008894 Loss_D_fake 0.012340
[1204/5000][45/535][124149] Loss_D: -0.020798 Loss_G: -0.013719 Loss_D_real: -0.003224 Loss_D_fake 0.017574
[1204/5000][50/535][124150] Loss_D: -0.020292 Loss_G: 0.008581 Loss_D_real: -0.017425 Loss_D_fake 0.002867
[1204/5000][55/535][124151] Loss_D: -0.021055 Loss_G: 0.013688 Loss_D_real: -0.026881 Loss_D_fake -0.005826
[1204/5000][60/535][124152] Loss_D: -0.019590 Loss_G: 0.005429 Loss_D_real: -0.021563 Loss_D_fake -0.001973
[1204/5000][65/535][124153] Loss_D: -0.020310 Loss_G: 0.015794 Loss_D_real: -0.019805 Loss_D_fake 0.000505
[1204/5000][70/535][124154] Loss_D: -0.020121 Loss_G: -0.001464 Loss_D_real: -0.025105 Loss_D_fake -0.004984
[1204/5000][75/535][124155] Loss_D: -0.019596 Loss_G: -0.003284 Loss_D_real: -0.010832 Loss_D_fake 0.008764
[1204/5000][80/535][124156] Loss_D: -0.019951 Loss_G: 0.017390 Loss_D_real: -0.018770 Loss_D_fake 0.001182
[1204/5000][85/535][124157] Loss_D: -0.020171 Loss_G: 0.008323 Loss_D_real: -0.021595 Loss_D_fake -0.001424
[1204/5000][90/535][124158] Loss_D: -0.020096 Loss_G: -0.000738 Loss_D_real: -0.012118 Loss_D_fake 0.007978
[1204/5000][95/535][124159] Loss_D: -0.021113 Loss_G: 0.012697 Loss_D_real: -0.029785 Loss_D_fake -0.008671
[1204/5000][100/535][124160] Loss_D: -0.022202 Loss_G: 0.027276 Loss_D_real: -0.024855 Loss_D_fake -0.002653
[1204/5000][105/535][124161] Loss_D: -0.018986 Loss_G: 0.012547 Loss_D_real: -0.029591 Loss_D_fake -0.010605
[1204/5000][110/535][124162] Loss_D: -0.019910 Loss_G: -0.000458 Loss_D_real: -0.008395 Loss_D_fake 0.011515
[1204/5000][115/535][124163] Loss_D: -0.020663 Loss_G: 0.028352 Loss_D_real: -0.023493 Loss_D_fake -0.002830
[1204/5000][120/535][124164] Loss_D: -0.021480 Loss_G: 0.008938 Loss_D_real: -0.019400 Loss_D_fake 0.002080
[1204/5000][125/535][124165] Loss_D: -0.020133 Loss_G: -0.005616 Loss_D_real: -0.006777 Loss_D_fake 0.013356
[1204/5000][130/535][124166] Loss_D: -0.020880 Loss_G: -0.007302 Loss_D_real: -0.008583 Loss_D_fake 0.012297
[1204/5000][135/535][124167] Loss_D: -0.020439 Loss_G: -0.011459 Loss_D_real: -0.007428 Loss_D_fake 0.013010
[1204/5000][140/535][124168] Loss_D: -0.021208 Loss_G: 0.012999 Loss_D_real: -0.015161 Loss_D_fake 0.006046
[1204/5000][145/535][124169] Loss_D: -0.022452 Loss_G: 0.010229 Loss_D_real: -0.016435 Loss_D_fake 0.006017
[1204/5000][150/535][124170] Loss_D: -0.020038 Loss_G: -0.015279 Loss_D_real: -0.011312 Loss_D_fake 0.008726
[1204/5000][155/535][124171] Loss_D: -0.020191 Loss_G: 0.017128 Loss_D_real: -0.030621 Loss_D_fake -0.010430
[1204/5000][160/535][124172] Loss_D: -0.018969 Loss_G: -0.018247 Loss_D_real: 0.001910 Loss_D_fake 0.020879
[1204/5000][165/535][124173] Loss_D: -0.020389 Loss_G: 0.003253 Loss_D_real: 0.000032 Loss_D_fake 0.020421
[1204/5000][170/535][124174] Loss_D: -0.020368 Loss_G: -0.008362 Loss_D_real: -0.005860 Loss_D_fake 0.014508
[1204/5000][175/535][124175] Loss_D: -0.020209 Loss_G: 0.008480 Loss_D_real: -0.019075 Loss_D_fake 0.001134
[1204/5000][180/535][124176] Loss_D: -0.020016 Loss_G: -0.008289 Loss_D_real: -0.000927 Loss_D_fake 0.019090
[1204/5000][185/535][124177] Loss_D: -0.021108 Loss_G: 0.013228 Loss_D_real: -0.024953 Loss_D_fake -0.003845
[1204/5000][190/535][124178] Loss_D: -0.019444 Loss_G: 0.020192 Loss_D_real: -0.027385 Loss_D_fake -0.007941
[1204/5000][195/535][124179] Loss_D: -0.020065 Loss_G: 0.028904 Loss_D_real: -0.025685 Loss_D_fake -0.005620
[1204/5000][200/535][124180] Loss_D: -0.020354 Loss_G: 0.018140 Loss_D_real: -0.017743 Loss_D_fake 0.002611
[1204/5000][205/535][124181] Loss_D: -0.021220 Loss_G: -0.007932 Loss_D_real: -0.007184 Loss_D_fake 0.014036
[1204/5000][210/535][124182] Loss_D: -0.020136 Loss_G: 0.011184 Loss_D_real: -0.021527 Loss_D_fake -0.001391
[1204/5000][215/535][124183] Loss_D: -0.020482 Loss_G: 0.008024 Loss_D_real: -0.017040 Loss_D_fake 0.003442
[1204/5000][220/535][124184] Loss_D: -0.020992 Loss_G: 0.003582 Loss_D_real: -0.012013 Loss_D_fake 0.008979
[1204/5000][225/535][124185] Loss_D: -0.019818 Loss_G: -0.000767 Loss_D_real: -0.016690 Loss_D_fake 0.003128
[1204/5000][230/535][124186] Loss_D: -0.020692 Loss_G: 0.025028 Loss_D_real: -0.028436 Loss_D_fake -0.007744
[1204/5000][235/535][124187] Loss_D: -0.020842 Loss_G: -0.004452 Loss_D_real: -0.006645 Loss_D_fake 0.014197
[1204/5000][240/535][124188] Loss_D: -0.019055 Loss_G: 0.012974 Loss_D_real: -0.020699 Loss_D_fake -0.001644
[1204/5000][245/535][124189] Loss_D: -0.020637 Loss_G: 0.003455 Loss_D_real: -0.029797 Loss_D_fake -0.009159
[1204/5000][250/535][124190] Loss_D: -0.020879 Loss_G: 0.008666 Loss_D_real: -0.024428 Loss_D_fake -0.003549
[1204/5000][255/535][124191] Loss_D: -0.020853 Loss_G: 0.007857 Loss_D_real: -0.026661 Loss_D_fake -0.005809
[1204/5000][260/535][124192] Loss_D: -0.021264 Loss_G: 0.006179 Loss_D_real: -0.014984 Loss_D_fake 0.006279
[1204/5000][265/535][124193] Loss_D: -0.019385 Loss_G: 0.010774 Loss_D_real: -0.029593 Loss_D_fake -0.010208
[1204/5000][270/535][124194] Loss_D: -0.021979 Loss_G: -0.008009 Loss_D_real: -0.012040 Loss_D_fake 0.009939
[1204/5000][275/535][124195] Loss_D: -0.021407 Loss_G: 0.017129 Loss_D_real: -0.014618 Loss_D_fake 0.006788
[1204/5000][280/535][124196] Loss_D: -0.020156 Loss_G: 0.013054 Loss_D_real: -0.024873 Loss_D_fake -0.004718
[1204/5000][285/535][124197] Loss_D: -0.019850 Loss_G: -0.011815 Loss_D_real: -0.008186 Loss_D_fake 0.011664
[1204/5000][290/535][124198] Loss_D: -0.019591 Loss_G: 0.004654 Loss_D_real: -0.017192 Loss_D_fake 0.002399
[1204/5000][295/535][124199] Loss_D: -0.020796 Loss_G: 0.005400 Loss_D_real: -0.006974 Loss_D_fake 0.013822
[1204/5000][300/535][124200] Loss_D: -0.019889 Loss_G: 0.009982 Loss_D_real: -0.014575 Loss_D_fake 0.005314
[1204/5000][305/535][124201] Loss_D: -0.018922 Loss_G: 0.004818 Loss_D_real: -0.018932 Loss_D_fake -0.000010
[1204/5000][310/535][124202] Loss_D: -0.020165 Loss_G: 0.001784 Loss_D_real: -0.011226 Loss_D_fake 0.008939
[1204/5000][315/535][124203] Loss_D: -0.019856 Loss_G: 0.017756 Loss_D_real: -0.020607 Loss_D_fake -0.000751
[1204/5000][320/535][124204] Loss_D: -0.020996 Loss_G: -0.011944 Loss_D_real: -0.017370 Loss_D_fake 0.003626
[1204/5000][325/535][124205] Loss_D: -0.017891 Loss_G: 0.028781 Loss_D_real: -0.035108 Loss_D_fake -0.017217
[1204/5000][330/535][124206] Loss_D: -0.019894 Loss_G: 0.005759 Loss_D_real: -0.018925 Loss_D_fake 0.000969
[1204/5000][335/535][124207] Loss_D: -0.018356 Loss_G: 0.018270 Loss_D_real: -0.035206 Loss_D_fake -0.016850
[1204/5000][340/535][124208] Loss_D: -0.021554 Loss_G: 0.003735 Loss_D_real: -0.018259 Loss_D_fake 0.003295
[1204/5000][345/535][124209] Loss_D: -0.019979 Loss_G: 0.024042 Loss_D_real: -0.018913 Loss_D_fake 0.001066
[1204/5000][350/535][124210] Loss_D: -0.021215 Loss_G: 0.013271 Loss_D_real: -0.019592 Loss_D_fake 0.001623
[1204/5000][355/535][124211] Loss_D: -0.020616 Loss_G: 0.001235 Loss_D_real: -0.015480 Loss_D_fake 0.005136
[1204/5000][360/535][124212] Loss_D: -0.019554 Loss_G: -0.007165 Loss_D_real: -0.013970 Loss_D_fake 0.005584
[1204/5000][365/535][124213] Loss_D: -0.020356 Loss_G: 0.015287 Loss_D_real: -0.024028 Loss_D_fake -0.003671
[1204/5000][370/535][124214] Loss_D: -0.019484 Loss_G: -0.008937 Loss_D_real: -0.008158 Loss_D_fake 0.011326
[1204/5000][375/535][124215] Loss_D: -0.020076 Loss_G: 0.021034 Loss_D_real: -0.023866 Loss_D_fake -0.003790
[1204/5000][380/535][124216] Loss_D: -0.020014 Loss_G: 0.005845 Loss_D_real: -0.013731 Loss_D_fake 0.006284
[1204/5000][385/535][124217] Loss_D: -0.022103 Loss_G: -0.000361 Loss_D_real: -0.013387 Loss_D_fake 0.008716
[1204/5000][390/535][124218] Loss_D: -0.020809 Loss_G: 0.022789 Loss_D_real: -0.025202 Loss_D_fake -0.004393
[1204/5000][395/535][124219] Loss_D: -0.020194 Loss_G: -0.008279 Loss_D_real: -0.013146 Loss_D_fake 0.007047
[1204/5000][400/535][124220] Loss_D: -0.020243 Loss_G: 0.010559 Loss_D_real: -0.027900 Loss_D_fake -0.007657
[1204/5000][405/535][124221] Loss_D: -0.019006 Loss_G: 0.014048 Loss_D_real: -0.020538 Loss_D_fake -0.001532
[1204/5000][410/535][124222] Loss_D: -0.020420 Loss_G: 0.009462 Loss_D_real: -0.028482 Loss_D_fake -0.008062
[1204/5000][415/535][124223] Loss_D: -0.021368 Loss_G: 0.022137 Loss_D_real: -0.006624 Loss_D_fake 0.014744
[1204/5000][420/535][124224] Loss_D: -0.019865 Loss_G: 0.022674 Loss_D_real: -0.017998 Loss_D_fake 0.001867
[1204/5000][425/535][124225] Loss_D: -0.020476 Loss_G: -0.002834 Loss_D_real: -0.018288 Loss_D_fake 0.002188
[1204/5000][430/535][124226] Loss_D: -0.019701 Loss_G: 0.031345 Loss_D_real: -0.030598 Loss_D_fake -0.010897
[1204/5000][435/535][124227] Loss_D: -0.020294 Loss_G: -0.000435 Loss_D_real: -0.017442 Loss_D_fake 0.002852
[1204/5000][440/535][124228] Loss_D: -0.019596 Loss_G: -0.002540 Loss_D_real: -0.005920 Loss_D_fake 0.013677
[1204/5000][445/535][124229] Loss_D: -0.019571 Loss_G: -0.001423 Loss_D_real: -0.023488 Loss_D_fake -0.003917
[1204/5000][450/535][124230] Loss_D: -0.019485 Loss_G: -0.013873 Loss_D_real: -0.002184 Loss_D_fake 0.017301
[1204/5000][455/535][124231] Loss_D: -0.020082 Loss_G: 0.011936 Loss_D_real: -0.010883 Loss_D_fake 0.009199
[1204/5000][460/535][124232] Loss_D: -0.021060 Loss_G: -0.010419 Loss_D_real: -0.013310 Loss_D_fake 0.007751
[1204/5000][465/535][124233] Loss_D: -0.019396 Loss_G: 0.020200 Loss_D_real: -0.026806 Loss_D_fake -0.007411
[1204/5000][470/535][124234] Loss_D: -0.020336 Loss_G: -0.003468 Loss_D_real: -0.008083 Loss_D_fake 0.012253
[1204/5000][475/535][124235] Loss_D: -0.020585 Loss_G: 0.007086 Loss_D_real: -0.020334 Loss_D_fake 0.000251
[1204/5000][480/535][124236] Loss_D: -0.021617 Loss_G: 0.009113 Loss_D_real: -0.017647 Loss_D_fake 0.003969
[1204/5000][485/535][124237] Loss_D: -0.020774 Loss_G: 0.025762 Loss_D_real: -0.027158 Loss_D_fake -0.006384
[1204/5000][490/535][124238] Loss_D: -0.019195 Loss_G: 0.000563 Loss_D_real: -0.016142 Loss_D_fake 0.003053
[1204/5000][495/535][124239] Loss_D: -0.020363 Loss_G: 0.013074 Loss_D_real: -0.027003 Loss_D_fake -0.006640
[1204/5000][500/535][124240] Loss_D: -0.019164 Loss_G: -0.009601 Loss_D_real: -0.003356 Loss_D_fake 0.015808
[1204/5000][505/535][124241] Loss_D: -0.020120 Loss_G: 0.009721 Loss_D_real: -0.017869 Loss_D_fake 0.002251
[1204/5000][510/535][124242] Loss_D: -0.020820 Loss_G: 0.003857 Loss_D_real: -0.016827 Loss_D_fake 0.003994
[1204/5000][515/535][124243] Loss_D: -0.020442 Loss_G: 0.002104 Loss_D_real: -0.017093 Loss_D_fake 0.003349
[1204/5000][520/535][124244] Loss_D: -0.021494 Loss_G: 0.000579 Loss_D_real: -0.026946 Loss_D_fake -0.005452
[1204/5000][525/535][124245] Loss_D: -0.020007 Loss_G: -0.000421 Loss_D_real: -0.008323 Loss_D_fake 0.011684
[1204/5000][530/535][124246] Loss_D: -0.020343 Loss_G: -0.005773 Loss_D_real: -0.013921 Loss_D_fake 0.006422
[1204/5000][535/535][124247] Loss_D: -0.019359 Loss_G: 0.014486 Loss_D_real: -0.005528 Loss_D_fake 0.013831
[1205/5000][5/535][124248] Loss_D: -0.019843 Loss_G: 0.003591 Loss_D_real: -0.022472 Loss_D_fake -0.002629
[1205/5000][10/535][124249] Loss_D: -0.018484 Loss_G: 0.025815 Loss_D_real: -0.030781 Loss_D_fake -0.012297
[1205/5000][15/535][124250] Loss_D: -0.019563 Loss_G: 0.011638 Loss_D_real: -0.009836 Loss_D_fake 0.009727
[1205/5000][20/535][124251] Loss_D: -0.021123 Loss_G: 0.009525 Loss_D_real: -0.026043 Loss_D_fake -0.004920
[1205/5000][25/535][124252] Loss_D: -0.019742 Loss_G: 0.001861 Loss_D_real: -0.020928 Loss_D_fake -0.001186
[1205/5000][30/535][124253] Loss_D: -0.020724 Loss_G: -0.014381 Loss_D_real: -0.015113 Loss_D_fake 0.005611
[1205/5000][35/535][124254] Loss_D: -0.019746 Loss_G: -0.001098 Loss_D_real: -0.015900 Loss_D_fake 0.003846
[1205/5000][40/535][124255] Loss_D: -0.020373 Loss_G: 0.019354 Loss_D_real: -0.021398 Loss_D_fake -0.001025
[1205/5000][45/535][124256] Loss_D: -0.021446 Loss_G: 0.003811 Loss_D_real: -0.009910 Loss_D_fake 0.011536
[1205/5000][50/535][124257] Loss_D: -0.019480 Loss_G: -0.006608 Loss_D_real: -0.002301 Loss_D_fake 0.017179
[1205/5000][55/535][124258] Loss_D: -0.020088 Loss_G: 0.005133 Loss_D_real: -0.022155 Loss_D_fake -0.002067
[1205/5000][60/535][124259] Loss_D: -0.021026 Loss_G: -0.010770 Loss_D_real: -0.020157 Loss_D_fake 0.000870
[1205/5000][65/535][124260] Loss_D: -0.020430 Loss_G: 0.017563 Loss_D_real: -0.021541 Loss_D_fake -0.001111
[1205/5000][70/535][124261] Loss_D: -0.020563 Loss_G: 0.001559 Loss_D_real: -0.012910 Loss_D_fake 0.007653
[1205/5000][75/535][124262] Loss_D: -0.020188 Loss_G: 0.012399 Loss_D_real: -0.015272 Loss_D_fake 0.004916
[1205/5000][80/535][124263] Loss_D: -0.020192 Loss_G: 0.021088 Loss_D_real: -0.020879 Loss_D_fake -0.000688
[1205/5000][85/535][124264] Loss_D: -0.021844 Loss_G: -0.015536 Loss_D_real: -0.018094 Loss_D_fake 0.003750
[1205/5000][90/535][124265] Loss_D: -0.020562 Loss_G: 0.013830 Loss_D_real: -0.030494 Loss_D_fake -0.009932
[1205/5000][95/535][124266] Loss_D: -0.021210 Loss_G: 0.014664 Loss_D_real: -0.018278 Loss_D_fake 0.002932
[1205/5000][100/535][124267] Loss_D: -0.020283 Loss_G: -0.024976 Loss_D_real: -0.009919 Loss_D_fake 0.010365
[1205/5000][105/535][124268] Loss_D: -0.021162 Loss_G: 0.009208 Loss_D_real: -0.020172 Loss_D_fake 0.000990
[1205/5000][110/535][124269] Loss_D: -0.020437 Loss_G: -0.000333 Loss_D_real: -0.012414 Loss_D_fake 0.008022
[1205/5000][115/535][124270] Loss_D: -0.021596 Loss_G: 0.007649 Loss_D_real: -0.012974 Loss_D_fake 0.008622
[1205/5000][120/535][124271] Loss_D: -0.020186 Loss_G: -0.000500 Loss_D_real: -0.010440 Loss_D_fake 0.009746
[1205/5000][125/535][124272] Loss_D: -0.022544 Loss_G: -0.001163 Loss_D_real: -0.023984 Loss_D_fake -0.001440
[1205/5000][130/535][124273] Loss_D: -0.019708 Loss_G: 0.012028 Loss_D_real: -0.020901 Loss_D_fake -0.001193
[1205/5000][135/535][124274] Loss_D: -0.019659 Loss_G: -0.002881 Loss_D_real: 0.002920 Loss_D_fake 0.022578
[1205/5000][140/535][124275] Loss_D: -0.021155 Loss_G: 0.010704 Loss_D_real: -0.019368 Loss_D_fake 0.001787
[1205/5000][145/535][124276] Loss_D: -0.020693 Loss_G: 0.012503 Loss_D_real: -0.020251 Loss_D_fake 0.000442
[1205/5000][150/535][124277] Loss_D: -0.019928 Loss_G: 0.001773 Loss_D_real: -0.026406 Loss_D_fake -0.006478
[1205/5000][155/535][124278] Loss_D: -0.020512 Loss_G: -0.002869 Loss_D_real: -0.015459 Loss_D_fake 0.005053
[1205/5000][160/535][124279] Loss_D: -0.021502 Loss_G: 0.009631 Loss_D_real: -0.019783 Loss_D_fake 0.001719
[1205/5000][165/535][124280] Loss_D: -0.018664 Loss_G: -0.017436 Loss_D_real: -0.005158 Loss_D_fake 0.013506
[1205/5000][170/535][124281] Loss_D: -0.019188 Loss_G: -0.010475 Loss_D_real: -0.002261 Loss_D_fake 0.016926
[1205/5000][175/535][124282] Loss_D: -0.018872 Loss_G: 0.021001 Loss_D_real: -0.033412 Loss_D_fake -0.014540
[1205/5000][180/535][124283] Loss_D: -0.021337 Loss_G: 0.009212 Loss_D_real: -0.013657 Loss_D_fake 0.007681
[1205/5000][185/535][124284] Loss_D: -0.018923 Loss_G: 0.031427 Loss_D_real: -0.029899 Loss_D_fake -0.010976
[1205/5000][190/535][124285] Loss_D: -0.018473 Loss_G: -0.025756 Loss_D_real: 0.002546 Loss_D_fake 0.021020
[1205/5000][195/535][124286] Loss_D: -0.018645 Loss_G: 0.013390 Loss_D_real: -0.016467 Loss_D_fake 0.002178
[1205/5000][200/535][124287] Loss_D: -0.017560 Loss_G: 0.017745 Loss_D_real: -0.035810 Loss_D_fake -0.018250
[1205/5000][205/535][124288] Loss_D: -0.020449 Loss_G: -0.001821 Loss_D_real: -0.009426 Loss_D_fake 0.011024
[1205/5000][210/535][124289] Loss_D: -0.019839 Loss_G: 0.019475 Loss_D_real: -0.033568 Loss_D_fake -0.013729
[1205/5000][215/535][124290] Loss_D: -0.019166 Loss_G: 0.000365 Loss_D_real: -0.018147 Loss_D_fake 0.001020
[1205/5000][220/535][124291] Loss_D: -0.020344 Loss_G: 0.008878 Loss_D_real: -0.011143 Loss_D_fake 0.009201
[1205/5000][225/535][124292] Loss_D: -0.019999 Loss_G: 0.016679 Loss_D_real: -0.025699 Loss_D_fake -0.005700
[1205/5000][230/535][124293] Loss_D: -0.020786 Loss_G: -0.010180 Loss_D_real: -0.013299 Loss_D_fake 0.007487
[1205/5000][235/535][124294] Loss_D: -0.019971 Loss_G: -0.009217 Loss_D_real: -0.016918 Loss_D_fake 0.003053
[1205/5000][240/535][124295] Loss_D: -0.019676 Loss_G: -0.015938 Loss_D_real: 0.001957 Loss_D_fake 0.021633
[1205/5000][245/535][124296] Loss_D: -0.019796 Loss_G: 0.017759 Loss_D_real: -0.029754 Loss_D_fake -0.009958
[1205/5000][250/535][124297] Loss_D: -0.020602 Loss_G: 0.002978 Loss_D_real: -0.009961 Loss_D_fake 0.010641
[1205/5000][255/535][124298] Loss_D: -0.020937 Loss_G: 0.003710 Loss_D_real: -0.015159 Loss_D_fake 0.005778
[1205/5000][260/535][124299] Loss_D: -0.020581 Loss_G: 0.017792 Loss_D_real: -0.014001 Loss_D_fake 0.006580
[1205/5000][265/535][124300] Loss_D: -0.020471 Loss_G: 0.004442 Loss_D_real: -0.023786 Loss_D_fake -0.003315
[1205/5000][270/535][124301] Loss_D: -0.021149 Loss_G: 0.030434 Loss_D_real: -0.020017 Loss_D_fake 0.001132
[1205/5000][275/535][124302] Loss_D: -0.021812 Loss_G: 0.008723 Loss_D_real: -0.022949 Loss_D_fake -0.001137
[1205/5000][280/535][124303] Loss_D: -0.021054 Loss_G: -0.005739 Loss_D_real: -0.018284 Loss_D_fake 0.002770
[1205/5000][285/535][124304] Loss_D: -0.019852 Loss_G: 0.001978 Loss_D_real: -0.022947 Loss_D_fake -0.003095
[1205/5000][290/535][124305] Loss_D: -0.020519 Loss_G: -0.015381 Loss_D_real: -0.013347 Loss_D_fake 0.007172
[1205/5000][295/535][124306] Loss_D: -0.018317 Loss_G: 0.007194 Loss_D_real: -0.023373 Loss_D_fake -0.005056
[1205/5000][300/535][124307] Loss_D: -0.019919 Loss_G: 0.026230 Loss_D_real: -0.022193 Loss_D_fake -0.002274
[1205/5000][305/535][124308] Loss_D: -0.020175 Loss_G: -0.002106 Loss_D_real: -0.007047 Loss_D_fake 0.013128
[1205/5000][310/535][124309] Loss_D: -0.019521 Loss_G: 0.002136 Loss_D_real: -0.014872 Loss_D_fake 0.004649
[1205/5000][315/535][124310] Loss_D: -0.019791 Loss_G: 0.022631 Loss_D_real: -0.033035 Loss_D_fake -0.013243
[1205/5000][320/535][124311] Loss_D: -0.020094 Loss_G: -0.009398 Loss_D_real: -0.006828 Loss_D_fake 0.013266
[1205/5000][325/535][124312] Loss_D: -0.020989 Loss_G: 0.003666 Loss_D_real: -0.018300 Loss_D_fake 0.002689
[1205/5000][330/535][124313] Loss_D: -0.020196 Loss_G: 0.017453 Loss_D_real: -0.029474 Loss_D_fake -0.009278
[1205/5000][335/535][124314] Loss_D: -0.020626 Loss_G: 0.018650 Loss_D_real: -0.029649 Loss_D_fake -0.009023
[1205/5000][340/535][124315] Loss_D: -0.019934 Loss_G: 0.005844 Loss_D_real: -0.018020 Loss_D_fake 0.001914
[1205/5000][345/535][124316] Loss_D: -0.020893 Loss_G: -0.001997 Loss_D_real: -0.002954 Loss_D_fake 0.017939
[1205/5000][350/535][124317] Loss_D: -0.021471 Loss_G: -0.002888 Loss_D_real: -0.011905 Loss_D_fake 0.009566
[1205/5000][355/535][124318] Loss_D: -0.020088 Loss_G: -0.009178 Loss_D_real: -0.008004 Loss_D_fake 0.012084
[1205/5000][360/535][124319] Loss_D: -0.020648 Loss_G: 0.004029 Loss_D_real: -0.007566 Loss_D_fake 0.013082
[1205/5000][365/535][124320] Loss_D: -0.020205 Loss_G: 0.003358 Loss_D_real: -0.025385 Loss_D_fake -0.005180
[1205/5000][370/535][124321] Loss_D: -0.019221 Loss_G: 0.022312 Loss_D_real: -0.019213 Loss_D_fake 0.000008
[1205/5000][375/535][124322] Loss_D: -0.021516 Loss_G: 0.001406 Loss_D_real: -0.019187 Loss_D_fake 0.002328
[1205/5000][380/535][124323] Loss_D: -0.020261 Loss_G: 0.017105 Loss_D_real: -0.017539 Loss_D_fake 0.002722
[1205/5000][385/535][124324] Loss_D: -0.021498 Loss_G: 0.000659 Loss_D_real: -0.010525 Loss_D_fake 0.010973
[1205/5000][390/535][124325] Loss_D: -0.018885 Loss_G: 0.022686 Loss_D_real: -0.024465 Loss_D_fake -0.005580
[1205/5000][395/535][124326] Loss_D: -0.020222 Loss_G: 0.014044 Loss_D_real: -0.014582 Loss_D_fake 0.005641
[1205/5000][400/535][124327] Loss_D: -0.020006 Loss_G: 0.009705 Loss_D_real: -0.023269 Loss_D_fake -0.003262
[1205/5000][405/535][124328] Loss_D: -0.020359 Loss_G: 0.002040 Loss_D_real: -0.004171 Loss_D_fake 0.016188
[1205/5000][410/535][124329] Loss_D: -0.019533 Loss_G: 0.002733 Loss_D_real: -0.021220 Loss_D_fake -0.001687
[1205/5000][415/535][124330] Loss_D: -0.018036 Loss_G: 0.021105 Loss_D_real: -0.032786 Loss_D_fake -0.014750
[1205/5000][420/535][124331] Loss_D: -0.019943 Loss_G: 0.017180 Loss_D_real: -0.020159 Loss_D_fake -0.000216
[1205/5000][425/535][124332] Loss_D: -0.019012 Loss_G: -0.028699 Loss_D_real: 0.000518 Loss_D_fake 0.019530
[1205/5000][430/535][124333] Loss_D: -0.019624 Loss_G: -0.017101 Loss_D_real: -0.005274 Loss_D_fake 0.014350
[1205/5000][435/535][124334] Loss_D: -0.020121 Loss_G: 0.016185 Loss_D_real: -0.030079 Loss_D_fake -0.009958
[1205/5000][440/535][124335] Loss_D: -0.020392 Loss_G: -0.005902 Loss_D_real: -0.014402 Loss_D_fake 0.005989
[1205/5000][445/535][124336] Loss_D: -0.020543 Loss_G: 0.010768 Loss_D_real: -0.019828 Loss_D_fake 0.000715
[1205/5000][450/535][124337] Loss_D: -0.020575 Loss_G: 0.026869 Loss_D_real: -0.024487 Loss_D_fake -0.003912
[1205/5000][455/535][124338] Loss_D: -0.020329 Loss_G: -0.002678 Loss_D_real: -0.013974 Loss_D_fake 0.006355
[1205/5000][460/535][124339] Loss_D: -0.019587 Loss_G: -0.010879 Loss_D_real: -0.007937 Loss_D_fake 0.011649
[1205/5000][465/535][124340] Loss_D: -0.019978 Loss_G: 0.012355 Loss_D_real: -0.025834 Loss_D_fake -0.005856
[1205/5000][470/535][124341] Loss_D: -0.020110 Loss_G: 0.008322 Loss_D_real: -0.016496 Loss_D_fake 0.003613
[1205/5000][475/535][124342] Loss_D: -0.020710 Loss_G: 0.005701 Loss_D_real: -0.017471 Loss_D_fake 0.003239
[1205/5000][480/535][124343] Loss_D: -0.021297 Loss_G: 0.003016 Loss_D_real: -0.020578 Loss_D_fake 0.000719
[1205/5000][485/535][124344] Loss_D: -0.021100 Loss_G: 0.001311 Loss_D_real: -0.016124 Loss_D_fake 0.004976
[1205/5000][490/535][124345] Loss_D: -0.021261 Loss_G: 0.002010 Loss_D_real: -0.018649 Loss_D_fake 0.002612
[1205/5000][495/535][124346] Loss_D: -0.019555 Loss_G: -0.008557 Loss_D_real: -0.003807 Loss_D_fake 0.015748
[1205/5000][500/535][124347] Loss_D: -0.020509 Loss_G: 0.004171 Loss_D_real: -0.018369 Loss_D_fake 0.002140
[1205/5000][505/535][124348] Loss_D: -0.019896 Loss_G: -0.016896 Loss_D_real: -0.003076 Loss_D_fake 0.016821
[1205/5000][510/535][124349] Loss_D: -0.019764 Loss_G: 0.021597 Loss_D_real: -0.026941 Loss_D_fake -0.007177
[1205/5000][515/535][124350] Loss_D: -0.021108 Loss_G: 0.017100 Loss_D_real: -0.018151 Loss_D_fake 0.002957
[1205/5000][520/535][124351] Loss_D: -0.020592 Loss_G: 0.004913 Loss_D_real: -0.015623 Loss_D_fake 0.004969
[1205/5000][525/535][124352] Loss_D: -0.018012 Loss_G: 0.028603 Loss_D_real: -0.033729 Loss_D_fake -0.015717
[1205/5000][530/535][124353] Loss_D: -0.018124 Loss_G: 0.009621 Loss_D_real: -0.016452 Loss_D_fake 0.001673
[1205/5000][535/535][124354] Loss_D: -0.019129 Loss_G: 0.012446 Loss_D_real: -0.002986 Loss_D_fake 0.016142
[1206/5000][5/535][124355] Loss_D: -0.020577 Loss_G: -0.011629 Loss_D_real: -0.005576 Loss_D_fake 0.015001
[1206/5000][10/535][124356] Loss_D: -0.020798 Loss_G: 0.014646 Loss_D_real: -0.019224 Loss_D_fake 0.001574
[1206/5000][15/535][124357] Loss_D: -0.020750 Loss_G: -0.006707 Loss_D_real: -0.014826 Loss_D_fake 0.005924
[1206/5000][20/535][124358] Loss_D: -0.020815 Loss_G: 0.014091 Loss_D_real: -0.027738 Loss_D_fake -0.006924
[1206/5000][25/535][124359] Loss_D: -0.021454 Loss_G: -0.005013 Loss_D_real: -0.015470 Loss_D_fake 0.005984
[1206/5000][30/535][124360] Loss_D: -0.019417 Loss_G: 0.021418 Loss_D_real: -0.030056 Loss_D_fake -0.010638
[1206/5000][35/535][124361] Loss_D: -0.019565 Loss_G: -0.014218 Loss_D_real: -0.009469 Loss_D_fake 0.010096
[1206/5000][40/535][124362] Loss_D: -0.020106 Loss_G: 0.024008 Loss_D_real: -0.021771 Loss_D_fake -0.001665
[1206/5000][45/535][124363] Loss_D: -0.019868 Loss_G: 0.013311 Loss_D_real: -0.025404 Loss_D_fake -0.005536
[1206/5000][50/535][124364] Loss_D: -0.021595 Loss_G: -0.005410 Loss_D_real: -0.023984 Loss_D_fake -0.002389
[1206/5000][55/535][124365] Loss_D: -0.018831 Loss_G: 0.002870 Loss_D_real: -0.016566 Loss_D_fake 0.002265
[1206/5000][60/535][124366] Loss_D: -0.021102 Loss_G: 0.011873 Loss_D_real: -0.014533 Loss_D_fake 0.006569
[1206/5000][65/535][124367] Loss_D: -0.019488 Loss_G: -0.007175 Loss_D_real: -0.005366 Loss_D_fake 0.014123
[1206/5000][70/535][124368] Loss_D: -0.018964 Loss_G: 0.023209 Loss_D_real: -0.024318 Loss_D_fake -0.005354
[1206/5000][75/535][124369] Loss_D: -0.022037 Loss_G: 0.007854 Loss_D_real: -0.032075 Loss_D_fake -0.010038
[1206/5000][80/535][124370] Loss_D: -0.021130 Loss_G: 0.002461 Loss_D_real: -0.016191 Loss_D_fake 0.004939
[1206/5000][85/535][124371] Loss_D: -0.020747 Loss_G: 0.019201 Loss_D_real: -0.018129 Loss_D_fake 0.002618
[1206/5000][90/535][124372] Loss_D: -0.021795 Loss_G: 0.009251 Loss_D_real: -0.023398 Loss_D_fake -0.001603
[1206/5000][95/535][124373] Loss_D: -0.020220 Loss_G: -0.012277 Loss_D_real: -0.007504 Loss_D_fake 0.012716
[1206/5000][100/535][124374] Loss_D: -0.020239 Loss_G: 0.001361 Loss_D_real: -0.018075 Loss_D_fake 0.002164
[1206/5000][105/535][124375] Loss_D: -0.021071 Loss_G: -0.000415 Loss_D_real: -0.013551 Loss_D_fake 0.007520
[1206/5000][110/535][124376] Loss_D: -0.017369 Loss_G: -0.015398 Loss_D_real: 0.009347 Loss_D_fake 0.026716
[1206/5000][115/535][124377] Loss_D: -0.019106 Loss_G: 0.012843 Loss_D_real: -0.015389 Loss_D_fake 0.003717
[1206/5000][120/535][124378] Loss_D: -0.020297 Loss_G: 0.016851 Loss_D_real: -0.024323 Loss_D_fake -0.004026
[1206/5000][125/535][124379] Loss_D: -0.020102 Loss_G: 0.007088 Loss_D_real: -0.020353 Loss_D_fake -0.000251
[1206/5000][130/535][124380] Loss_D: -0.022222 Loss_G: 0.014252 Loss_D_real: -0.020260 Loss_D_fake 0.001962
[1206/5000][135/535][124381] Loss_D: -0.020275 Loss_G: -0.008917 Loss_D_real: -0.017432 Loss_D_fake 0.002843
[1206/5000][140/535][124382] Loss_D: -0.018923 Loss_G: -0.024566 Loss_D_real: -0.003329 Loss_D_fake 0.015594
[1206/5000][145/535][124383] Loss_D: -0.020521 Loss_G: 0.015037 Loss_D_real: -0.023512 Loss_D_fake -0.002991
[1206/5000][150/535][124384] Loss_D: -0.020214 Loss_G: -0.010257 Loss_D_real: -0.008937 Loss_D_fake 0.011277
[1206/5000][155/535][124385] Loss_D: -0.020131 Loss_G: 0.001422 Loss_D_real: -0.005689 Loss_D_fake 0.014442
[1206/5000][160/535][124386] Loss_D: -0.019861 Loss_G: 0.022178 Loss_D_real: -0.034311 Loss_D_fake -0.014450
[1206/5000][165/535][124387] Loss_D: -0.019778 Loss_G: -0.010201 Loss_D_real: -0.007694 Loss_D_fake 0.012084
[1206/5000][170/535][124388] Loss_D: -0.019509 Loss_G: -0.005054 Loss_D_real: -0.015278 Loss_D_fake 0.004231
[1206/5000][175/535][124389] Loss_D: -0.021414 Loss_G: 0.008336 Loss_D_real: -0.025567 Loss_D_fake -0.004153
[1206/5000][180/535][124390] Loss_D: -0.018867 Loss_G: 0.021815 Loss_D_real: -0.033237 Loss_D_fake -0.014371
[1206/5000][185/535][124391] Loss_D: -0.020936 Loss_G: 0.008615 Loss_D_real: -0.017276 Loss_D_fake 0.003660
[1206/5000][190/535][124392] Loss_D: -0.019417 Loss_G: 0.013095 Loss_D_real: -0.027521 Loss_D_fake -0.008104
[1206/5000][195/535][124393] Loss_D: -0.021115 Loss_G: 0.004631 Loss_D_real: -0.014317 Loss_D_fake 0.006797
[1206/5000][200/535][124394] Loss_D: -0.019594 Loss_G: 0.007068 Loss_D_real: -0.018892 Loss_D_fake 0.000702
[1206/5000][205/535][124395] Loss_D: -0.020442 Loss_G: 0.019842 Loss_D_real: -0.020752 Loss_D_fake -0.000310
[1206/5000][210/535][124396] Loss_D: -0.020467 Loss_G: 0.006777 Loss_D_real: -0.024914 Loss_D_fake -0.004446
[1206/5000][215/535][124397] Loss_D: -0.021847 Loss_G: -0.010088 Loss_D_real: -0.024594 Loss_D_fake -0.002746
[1206/5000][220/535][124398] Loss_D: -0.020681 Loss_G: 0.012422 Loss_D_real: -0.022140 Loss_D_fake -0.001459
[1206/5000][225/535][124399] Loss_D: -0.020564 Loss_G: -0.000985 Loss_D_real: -0.001077 Loss_D_fake 0.019487
[1206/5000][230/535][124400] Loss_D: -0.020164 Loss_G: 0.002219 Loss_D_real: -0.019070 Loss_D_fake 0.001094
[1206/5000][235/535][124401] Loss_D: -0.018974 Loss_G: -0.016855 Loss_D_real: 0.002063 Loss_D_fake 0.021037
[1206/5000][240/535][124402] Loss_D: -0.019014 Loss_G: -0.005971 Loss_D_real: -0.004127 Loss_D_fake 0.014887
[1206/5000][245/535][124403] Loss_D: -0.020575 Loss_G: -0.001598 Loss_D_real: -0.011729 Loss_D_fake 0.008846
[1206/5000][250/535][124404] Loss_D: -0.019720 Loss_G: -0.000319 Loss_D_real: -0.022950 Loss_D_fake -0.003231
[1206/5000][255/535][124405] Loss_D: -0.020739 Loss_G: 0.030957 Loss_D_real: -0.021528 Loss_D_fake -0.000789
[1206/5000][260/535][124406] Loss_D: -0.019418 Loss_G: 0.022368 Loss_D_real: -0.022913 Loss_D_fake -0.003494
[1206/5000][265/535][124407] Loss_D: -0.021439 Loss_G: -0.005012 Loss_D_real: -0.022275 Loss_D_fake -0.000836
[1206/5000][270/535][124408] Loss_D: -0.019418 Loss_G: 0.014761 Loss_D_real: -0.028657 Loss_D_fake -0.009239
[1206/5000][275/535][124409] Loss_D: -0.019545 Loss_G: 0.021874 Loss_D_real: -0.021251 Loss_D_fake -0.001705
[1206/5000][280/535][124410] Loss_D: -0.020182 Loss_G: -0.002958 Loss_D_real: -0.018944 Loss_D_fake 0.001238
[1206/5000][285/535][124411] Loss_D: -0.022194 Loss_G: 0.002871 Loss_D_real: -0.030351 Loss_D_fake -0.008157
[1206/5000][290/535][124412] Loss_D: -0.020242 Loss_G: 0.012237 Loss_D_real: -0.012133 Loss_D_fake 0.008109
[1206/5000][295/535][124413] Loss_D: -0.020316 Loss_G: 0.010200 Loss_D_real: -0.028127 Loss_D_fake -0.007811
[1206/5000][300/535][124414] Loss_D: -0.019963 Loss_G: -0.001508 Loss_D_real: -0.012638 Loss_D_fake 0.007325
[1206/5000][305/535][124415] Loss_D: -0.020943 Loss_G: 0.012964 Loss_D_real: -0.013981 Loss_D_fake 0.006961
[1206/5000][310/535][124416] Loss_D: -0.021107 Loss_G: 0.001129 Loss_D_real: -0.009947 Loss_D_fake 0.011159
[1206/5000][315/535][124417] Loss_D: -0.018761 Loss_G: -0.001205 Loss_D_real: -0.024608 Loss_D_fake -0.005847
[1206/5000][320/535][124418] Loss_D: -0.019760 Loss_G: 0.011763 Loss_D_real: -0.018727 Loss_D_fake 0.001034
[1206/5000][325/535][124419] Loss_D: -0.020954 Loss_G: 0.008417 Loss_D_real: -0.014863 Loss_D_fake 0.006091
[1206/5000][330/535][124420] Loss_D: -0.020737 Loss_G: -0.000289 Loss_D_real: -0.008377 Loss_D_fake 0.012360
[1206/5000][335/535][124421] Loss_D: -0.020146 Loss_G: 0.028826 Loss_D_real: -0.029256 Loss_D_fake -0.009110
[1206/5000][340/535][124422] Loss_D: -0.022052 Loss_G: 0.010029 Loss_D_real: -0.018033 Loss_D_fake 0.004019
[1206/5000][345/535][124423] Loss_D: -0.021417 Loss_G: -0.004206 Loss_D_real: -0.009297 Loss_D_fake 0.012120
[1206/5000][350/535][124424] Loss_D: -0.020374 Loss_G: 0.000870 Loss_D_real: -0.021592 Loss_D_fake -0.001219
[1206/5000][355/535][124425] Loss_D: -0.020025 Loss_G: 0.023053 Loss_D_real: -0.024523 Loss_D_fake -0.004498
[1206/5000][360/535][124426] Loss_D: -0.021710 Loss_G: 0.000358 Loss_D_real: -0.017557 Loss_D_fake 0.004153
[1206/5000][365/535][124427] Loss_D: -0.020437 Loss_G: 0.007535 Loss_D_real: -0.010770 Loss_D_fake 0.009667
[1206/5000][370/535][124428] Loss_D: -0.020019 Loss_G: 0.010434 Loss_D_real: -0.009433 Loss_D_fake 0.010585
[1206/5000][375/535][124429] Loss_D: -0.019608 Loss_G: 0.009033 Loss_D_real: -0.018169 Loss_D_fake 0.001439
[1206/5000][380/535][124430] Loss_D: -0.020336 Loss_G: -0.006531 Loss_D_real: -0.008254 Loss_D_fake 0.012081
[1206/5000][385/535][124431] Loss_D: -0.020483 Loss_G: 0.013756 Loss_D_real: -0.012663 Loss_D_fake 0.007820
[1206/5000][390/535][124432] Loss_D: -0.019717 Loss_G: 0.004311 Loss_D_real: -0.026595 Loss_D_fake -0.006878
[1206/5000][395/535][124433] Loss_D: -0.019923 Loss_G: 0.010951 Loss_D_real: -0.023613 Loss_D_fake -0.003690
[1206/5000][400/535][124434] Loss_D: -0.021627 Loss_G: -0.004835 Loss_D_real: -0.004250 Loss_D_fake 0.017377
[1206/5000][405/535][124435] Loss_D: -0.019982 Loss_G: 0.009705 Loss_D_real: -0.025076 Loss_D_fake -0.005094
[1206/5000][410/535][124436] Loss_D: -0.021817 Loss_G: 0.013568 Loss_D_real: -0.014853 Loss_D_fake 0.006964
[1206/5000][415/535][124437] Loss_D: -0.019422 Loss_G: 0.018766 Loss_D_real: -0.015712 Loss_D_fake 0.003710
[1206/5000][420/535][124438] Loss_D: -0.020446 Loss_G: -0.004942 Loss_D_real: -0.007416 Loss_D_fake 0.013030
[1206/5000][425/535][124439] Loss_D: -0.019870 Loss_G: 0.029282 Loss_D_real: -0.025103 Loss_D_fake -0.005233
[1206/5000][430/535][124440] Loss_D: -0.020968 Loss_G: 0.003692 Loss_D_real: -0.014316 Loss_D_fake 0.006652
[1206/5000][435/535][124441] Loss_D: -0.020000 Loss_G: -0.008696 Loss_D_real: -0.012386 Loss_D_fake 0.007614
[1206/5000][440/535][124442] Loss_D: -0.021588 Loss_G: 0.025494 Loss_D_real: -0.016620 Loss_D_fake 0.004968
[1206/5000][445/535][124443] Loss_D: -0.019649 Loss_G: 0.008732 Loss_D_real: -0.018108 Loss_D_fake 0.001541
[1206/5000][450/535][124444] Loss_D: -0.018242 Loss_G: 0.031691 Loss_D_real: -0.035755 Loss_D_fake -0.017513
[1206/5000][455/535][124445] Loss_D: -0.020413 Loss_G: 0.015277 Loss_D_real: -0.030774 Loss_D_fake -0.010361
[1206/5000][460/535][124446] Loss_D: -0.022625 Loss_G: 0.009671 Loss_D_real: -0.021711 Loss_D_fake 0.000914
[1206/5000][465/535][124447] Loss_D: -0.020338 Loss_G: 0.012109 Loss_D_real: -0.013604 Loss_D_fake 0.006734
[1206/5000][470/535][124448] Loss_D: -0.021683 Loss_G: -0.007703 Loss_D_real: -0.017895 Loss_D_fake 0.003788
[1206/5000][475/535][124449] Loss_D: -0.020496 Loss_G: -0.008941 Loss_D_real: -0.022399 Loss_D_fake -0.001903
[1206/5000][480/535][124450] Loss_D: -0.021127 Loss_G: 0.015653 Loss_D_real: -0.024642 Loss_D_fake -0.003514
[1206/5000][485/535][124451] Loss_D: -0.020297 Loss_G: 0.021927 Loss_D_real: -0.030275 Loss_D_fake -0.009979
[1206/5000][490/535][124452] Loss_D: -0.019598 Loss_G: 0.008225 Loss_D_real: -0.003901 Loss_D_fake 0.015697
[1206/5000][495/535][124453] Loss_D: -0.020046 Loss_G: -0.008954 Loss_D_real: -0.002433 Loss_D_fake 0.017614
[1206/5000][500/535][124454] Loss_D: -0.020066 Loss_G: -0.009296 Loss_D_real: -0.005676 Loss_D_fake 0.014390
[1206/5000][505/535][124455] Loss_D: -0.020598 Loss_G: 0.004344 Loss_D_real: -0.007600 Loss_D_fake 0.012998
[1206/5000][510/535][124456] Loss_D: -0.019548 Loss_G: 0.001419 Loss_D_real: -0.021606 Loss_D_fake -0.002058
[1206/5000][515/535][124457] Loss_D: -0.019625 Loss_G: 0.023078 Loss_D_real: -0.023170 Loss_D_fake -0.003545
[1206/5000][520/535][124458] Loss_D: -0.019600 Loss_G: 0.022930 Loss_D_real: -0.039060 Loss_D_fake -0.019460
[1206/5000][525/535][124459] Loss_D: -0.020291 Loss_G: 0.013044 Loss_D_real: -0.024530 Loss_D_fake -0.004238
[1206/5000][530/535][124460] Loss_D: -0.020522 Loss_G: 0.006761 Loss_D_real: -0.014599 Loss_D_fake 0.005923
[1206/5000][535/535][124461] Loss_D: -0.015936 Loss_G: 0.041520 Loss_D_real: -0.000746 Loss_D_fake 0.015190
[1207/5000][5/535][124462] Loss_D: -0.021125 Loss_G: -0.001289 Loss_D_real: -0.021364 Loss_D_fake -0.000238
[1207/5000][10/535][124463] Loss_D: -0.023140 Loss_G: -0.003632 Loss_D_real: -0.022140 Loss_D_fake 0.001000
[1207/5000][15/535][124464] Loss_D: -0.018107 Loss_G: 0.018617 Loss_D_real: -0.027572 Loss_D_fake -0.009465
[1207/5000][20/535][124465] Loss_D: -0.020599 Loss_G: -0.011911 Loss_D_real: -0.007725 Loss_D_fake 0.012874
[1207/5000][25/535][124466] Loss_D: -0.017683 Loss_G: 0.028200 Loss_D_real: -0.023454 Loss_D_fake -0.005771
[1207/5000][30/535][124467] Loss_D: -0.020480 Loss_G: 0.000956 Loss_D_real: -0.004161 Loss_D_fake 0.016319
[1207/5000][35/535][124468] Loss_D: -0.019859 Loss_G: 0.014736 Loss_D_real: -0.019213 Loss_D_fake 0.000646
[1207/5000][40/535][124469] Loss_D: -0.019695 Loss_G: 0.019905 Loss_D_real: -0.020548 Loss_D_fake -0.000853
[1207/5000][45/535][124470] Loss_D: -0.020599 Loss_G: -0.000856 Loss_D_real: -0.022441 Loss_D_fake -0.001842
[1207/5000][50/535][124471] Loss_D: -0.020939 Loss_G: 0.001725 Loss_D_real: -0.020978 Loss_D_fake -0.000038
[1207/5000][55/535][124472] Loss_D: -0.019421 Loss_G: -0.015867 Loss_D_real: -0.004918 Loss_D_fake 0.014503
[1207/5000][60/535][124473] Loss_D: -0.018971 Loss_G: 0.005560 Loss_D_real: -0.025651 Loss_D_fake -0.006680
[1207/5000][65/535][124474] Loss_D: -0.020543 Loss_G: 0.006389 Loss_D_real: -0.006245 Loss_D_fake 0.014298
[1207/5000][70/535][124475] Loss_D: -0.019871 Loss_G: -0.016808 Loss_D_real: -0.002676 Loss_D_fake 0.017196
[1207/5000][75/535][124476] Loss_D: -0.021247 Loss_G: 0.023297 Loss_D_real: -0.016681 Loss_D_fake 0.004565
[1207/5000][80/535][124477] Loss_D: -0.020486 Loss_G: 0.014071 Loss_D_real: -0.017342 Loss_D_fake 0.003144
[1207/5000][85/535][124478] Loss_D: -0.021236 Loss_G: -0.005098 Loss_D_real: -0.014426 Loss_D_fake 0.006810
[1207/5000][90/535][124479] Loss_D: -0.021777 Loss_G: 0.026221 Loss_D_real: -0.026953 Loss_D_fake -0.005177
[1207/5000][95/535][124480] Loss_D: -0.021234 Loss_G: 0.007124 Loss_D_real: -0.037950 Loss_D_fake -0.016716
[1207/5000][100/535][124481] Loss_D: -0.021314 Loss_G: 0.001953 Loss_D_real: -0.007566 Loss_D_fake 0.013748
[1207/5000][105/535][124482] Loss_D: -0.020708 Loss_G: 0.006058 Loss_D_real: -0.010051 Loss_D_fake 0.010658
[1207/5000][110/535][124483] Loss_D: -0.020091 Loss_G: -0.002003 Loss_D_real: -0.017309 Loss_D_fake 0.002781
[1207/5000][115/535][124484] Loss_D: -0.020615 Loss_G: 0.011066 Loss_D_real: -0.021522 Loss_D_fake -0.000907
[1207/5000][120/535][124485] Loss_D: -0.020235 Loss_G: 0.011122 Loss_D_real: -0.025712 Loss_D_fake -0.005476
[1207/5000][125/535][124486] Loss_D: -0.020165 Loss_G: -0.008462 Loss_D_real: 0.000333 Loss_D_fake 0.020498
[1207/5000][130/535][124487] Loss_D: -0.020248 Loss_G: 0.004489 Loss_D_real: -0.034005 Loss_D_fake -0.013757
[1207/5000][135/535][124488] Loss_D: -0.021008 Loss_G: -0.004551 Loss_D_real: -0.005365 Loss_D_fake 0.015644
[1207/5000][140/535][124489] Loss_D: -0.020633 Loss_G: 0.006554 Loss_D_real: -0.015353 Loss_D_fake 0.005281
[1207/5000][145/535][124490] Loss_D: -0.021249 Loss_G: 0.013146 Loss_D_real: -0.027958 Loss_D_fake -0.006708
[1207/5000][150/535][124491] Loss_D: -0.021284 Loss_G: 0.002169 Loss_D_real: -0.014102 Loss_D_fake 0.007182
[1207/5000][155/535][124492] Loss_D: -0.019869 Loss_G: -0.005890 Loss_D_real: -0.004341 Loss_D_fake 0.015528
[1207/5000][160/535][124493] Loss_D: -0.021071 Loss_G: 0.009234 Loss_D_real: -0.016661 Loss_D_fake 0.004410
[1207/5000][165/535][124494] Loss_D: -0.019459 Loss_G: -0.011294 Loss_D_real: 0.006619 Loss_D_fake 0.026078
[1207/5000][170/535][124495] Loss_D: -0.020837 Loss_G: 0.019056 Loss_D_real: -0.021666 Loss_D_fake -0.000830
[1207/5000][175/535][124496] Loss_D: -0.021362 Loss_G: 0.026470 Loss_D_real: -0.029596 Loss_D_fake -0.008234
[1207/5000][180/535][124497] Loss_D: -0.019365 Loss_G: 0.004242 Loss_D_real: -0.011205 Loss_D_fake 0.008159
[1207/5000][185/535][124498] Loss_D: -0.019919 Loss_G: -0.015462 Loss_D_real: -0.005588 Loss_D_fake 0.014331
[1207/5000][190/535][124499] Loss_D: -0.020258 Loss_G: 0.004734 Loss_D_real: -0.018585 Loss_D_fake 0.001674
[1207/5000][195/535][124500] Loss_D: -0.022079 Loss_G: 0.008508 Loss_D_real: -0.016675 Loss_D_fake 0.005404
[1207/5000][295/535][124501] Loss_D: -0.024998 Loss_G: 0.031324 Loss_D_real: -0.036436 Loss_D_fake -0.011438
[1207/5000][300/535][124502] Loss_D: -0.015669 Loss_G: -0.008736 Loss_D_real: -0.005327 Loss_D_fake 0.010342
[1207/5000][305/535][124503] Loss_D: -0.021857 Loss_G: 0.006059 Loss_D_real: -0.019627 Loss_D_fake 0.002229
[1207/5000][310/535][124504] Loss_D: -0.018479 Loss_G: 0.006582 Loss_D_real: -0.025837 Loss_D_fake -0.007358
[1207/5000][315/535][124505] Loss_D: -0.018381 Loss_G: 0.011525 Loss_D_real: -0.006432 Loss_D_fake 0.011948
[1207/5000][320/535][124506] Loss_D: -0.017369 Loss_G: 0.018102 Loss_D_real: -0.023978 Loss_D_fake -0.006609
[1207/5000][325/535][124507] Loss_D: -0.018953 Loss_G: 0.002835 Loss_D_real: -0.015353 Loss_D_fake 0.003600
[1207/5000][330/535][124508] Loss_D: -0.017568 Loss_G: -0.009217 Loss_D_real: -0.013895 Loss_D_fake 0.003674
[1207/5000][335/535][124509] Loss_D: -0.019283 Loss_G: 0.010356 Loss_D_real: -0.022056 Loss_D_fake -0.002773
[1207/5000][340/535][124510] Loss_D: -0.018186 Loss_G: 0.015732 Loss_D_real: -0.021058 Loss_D_fake -0.002872
[1207/5000][345/535][124511] Loss_D: -0.020797 Loss_G: 0.001487 Loss_D_real: -0.018706 Loss_D_fake 0.002090
[1207/5000][350/535][124512] Loss_D: -0.018977 Loss_G: 0.013291 Loss_D_real: -0.023424 Loss_D_fake -0.004448
[1207/5000][355/535][124513] Loss_D: -0.018823 Loss_G: -0.001342 Loss_D_real: -0.006149 Loss_D_fake 0.012674
[1207/5000][360/535][124514] Loss_D: -0.020018 Loss_G: -0.002671 Loss_D_real: -0.016638 Loss_D_fake 0.003380
[1207/5000][365/535][124515] Loss_D: -0.018686 Loss_G: 0.009947 Loss_D_real: -0.017301 Loss_D_fake 0.001385
[1207/5000][370/535][124516] Loss_D: -0.020168 Loss_G: -0.000248 Loss_D_real: -0.013677 Loss_D_fake 0.006491
[1207/5000][375/535][124517] Loss_D: -0.019727 Loss_G: 0.001348 Loss_D_real: -0.018764 Loss_D_fake 0.000963
[1207/5000][380/535][124518] Loss_D: -0.019849 Loss_G: 0.004511 Loss_D_real: -0.019243 Loss_D_fake 0.000606
[1207/5000][385/535][124519] Loss_D: -0.020365 Loss_G: 0.001423 Loss_D_real: -0.013909 Loss_D_fake 0.006456
[1207/5000][390/535][124520] Loss_D: -0.018682 Loss_G: -0.002872 Loss_D_real: -0.022231 Loss_D_fake -0.003549
[1207/5000][395/535][124521] Loss_D: -0.019408 Loss_G: 0.004642 Loss_D_real: -0.035136 Loss_D_fake -0.015728
[1207/5000][400/535][124522] Loss_D: -0.020659 Loss_G: 0.004079 Loss_D_real: -0.020039 Loss_D_fake 0.000620
[1207/5000][405/535][124523] Loss_D: -0.019446 Loss_G: -0.007541 Loss_D_real: -0.015428 Loss_D_fake 0.004018
[1207/5000][410/535][124524] Loss_D: -0.020956 Loss_G: 0.003986 Loss_D_real: -0.013450 Loss_D_fake 0.007506
[1207/5000][415/535][124525] Loss_D: -0.019873 Loss_G: 0.015937 Loss_D_real: -0.019935 Loss_D_fake -0.000062
[1207/5000][420/535][124526] Loss_D: -0.020743 Loss_G: 0.009327 Loss_D_real: -0.021128 Loss_D_fake -0.000384
[1207/5000][425/535][124527] Loss_D: -0.020431 Loss_G: -0.017437 Loss_D_real: -0.006174 Loss_D_fake 0.014257
[1207/5000][430/535][124528] Loss_D: -0.019821 Loss_G: 0.010664 Loss_D_real: -0.024910 Loss_D_fake -0.005090
[1207/5000][435/535][124529] Loss_D: -0.020458 Loss_G: 0.017431 Loss_D_real: -0.024504 Loss_D_fake -0.004046
[1207/5000][440/535][124530] Loss_D: -0.019060 Loss_G: -0.003701 Loss_D_real: -0.014950 Loss_D_fake 0.004110
[1207/5000][445/535][124531] Loss_D: -0.019273 Loss_G: 0.021232 Loss_D_real: -0.026492 Loss_D_fake -0.007218
[1207/5000][450/535][124532] Loss_D: -0.020210 Loss_G: -0.002470 Loss_D_real: -0.001706 Loss_D_fake 0.018504
[1207/5000][455/535][124533] Loss_D: -0.018834 Loss_G: 0.021127 Loss_D_real: -0.020531 Loss_D_fake -0.001697
[1207/5000][460/535][124534] Loss_D: -0.020225 Loss_G: -0.004525 Loss_D_real: -0.016305 Loss_D_fake 0.003919
[1207/5000][465/535][124535] Loss_D: -0.020469 Loss_G: -0.007170 Loss_D_real: -0.027652 Loss_D_fake -0.007183
[1207/5000][470/535][124536] Loss_D: -0.018985 Loss_G: 0.031135 Loss_D_real: -0.026423 Loss_D_fake -0.007438
[1207/5000][475/535][124537] Loss_D: -0.020384 Loss_G: 0.012462 Loss_D_real: -0.012463 Loss_D_fake 0.007921
[1207/5000][480/535][124538] Loss_D: -0.020367 Loss_G: -0.005611 Loss_D_real: -0.020904 Loss_D_fake -0.000537
[1207/5000][485/535][124539] Loss_D: -0.020535 Loss_G: -0.006327 Loss_D_real: -0.014503 Loss_D_fake 0.006031
[1207/5000][490/535][124540] Loss_D: -0.021354 Loss_G: -0.009426 Loss_D_real: -0.008172 Loss_D_fake 0.013182
[1207/5000][495/535][124541] Loss_D: -0.020179 Loss_G: 0.001572 Loss_D_real: -0.019370 Loss_D_fake 0.000808
[1207/5000][500/535][124542] Loss_D: -0.019799 Loss_G: -0.015891 Loss_D_real: -0.001523 Loss_D_fake 0.018276
[1207/5000][505/535][124543] Loss_D: -0.018641 Loss_G: -0.003908 Loss_D_real: -0.004436 Loss_D_fake 0.014205
[1207/5000][510/535][124544] Loss_D: -0.018977 Loss_G: 0.000830 Loss_D_real: -0.010016 Loss_D_fake 0.008962
[1207/5000][515/535][124545] Loss_D: -0.019407 Loss_G: 0.012684 Loss_D_real: -0.018600 Loss_D_fake 0.000807
[1207/5000][520/535][124546] Loss_D: -0.021329 Loss_G: -0.000043 Loss_D_real: -0.007044 Loss_D_fake 0.014284
[1207/5000][525/535][124547] Loss_D: -0.020160 Loss_G: -0.003025 Loss_D_real: -0.017705 Loss_D_fake 0.002456
[1207/5000][530/535][124548] Loss_D: -0.018622 Loss_G: -0.017683 Loss_D_real: 0.001074 Loss_D_fake 0.019697
[1207/5000][535/535][124549] Loss_D: -0.019948 Loss_G: 0.017284 Loss_D_real: -0.026148 Loss_D_fake -0.006200
[1208/5000][5/535][124550] Loss_D: -0.021426 Loss_G: 0.014940 Loss_D_real: -0.025663 Loss_D_fake -0.004237
[1208/5000][10/535][124551] Loss_D: -0.021371 Loss_G: 0.011296 Loss_D_real: -0.015596 Loss_D_fake 0.005774
[1208/5000][15/535][124552] Loss_D: -0.021656 Loss_G: 0.008893 Loss_D_real: -0.012706 Loss_D_fake 0.008950
[1208/5000][20/535][124553] Loss_D: -0.020073 Loss_G: -0.005827 Loss_D_real: -0.017634 Loss_D_fake 0.002439
[1208/5000][25/535][124554] Loss_D: -0.019092 Loss_G: 0.005842 Loss_D_real: -0.018527 Loss_D_fake 0.000564
[1208/5000][30/535][124555] Loss_D: -0.019168 Loss_G: 0.023548 Loss_D_real: -0.028574 Loss_D_fake -0.009406
[1208/5000][35/535][124556] Loss_D: -0.020949 Loss_G: 0.004998 Loss_D_real: -0.019321 Loss_D_fake 0.001628
[1208/5000][40/535][124557] Loss_D: -0.019585 Loss_G: -0.014171 Loss_D_real: -0.017596 Loss_D_fake 0.001989
[1208/5000][45/535][124558] Loss_D: -0.019376 Loss_G: 0.001128 Loss_D_real: -0.020594 Loss_D_fake -0.001219
[1208/5000][50/535][124559] Loss_D: -0.020629 Loss_G: -0.015175 Loss_D_real: -0.011561 Loss_D_fake 0.009068
[1208/5000][55/535][124560] Loss_D: -0.019707 Loss_G: 0.013129 Loss_D_real: -0.020265 Loss_D_fake -0.000559
[1208/5000][60/535][124561] Loss_D: -0.018306 Loss_G: 0.028991 Loss_D_real: -0.028356 Loss_D_fake -0.010050
[1208/5000][65/535][124562] Loss_D: -0.019416 Loss_G: -0.004488 Loss_D_real: 0.003407 Loss_D_fake 0.022822
[1208/5000][70/535][124563] Loss_D: -0.018553 Loss_G: 0.009199 Loss_D_real: -0.012584 Loss_D_fake 0.005969
[1208/5000][75/535][124564] Loss_D: -0.020111 Loss_G: 0.004128 Loss_D_real: -0.013351 Loss_D_fake 0.006760
[1208/5000][80/535][124565] Loss_D: -0.020803 Loss_G: -0.004520 Loss_D_real: -0.002849 Loss_D_fake 0.017954
[1208/5000][85/535][124566] Loss_D: -0.018913 Loss_G: 0.005706 Loss_D_real: -0.030321 Loss_D_fake -0.011409
[1208/5000][90/535][124567] Loss_D: -0.018660 Loss_G: -0.009787 Loss_D_real: 0.004487 Loss_D_fake 0.023147
[1208/5000][95/535][124568] Loss_D: -0.017890 Loss_G: 0.017121 Loss_D_real: -0.022407 Loss_D_fake -0.004517
[1208/5000][100/535][124569] Loss_D: -0.020902 Loss_G: 0.012980 Loss_D_real: -0.021839 Loss_D_fake -0.000937
[1208/5000][105/535][124570] Loss_D: -0.021533 Loss_G: 0.019706 Loss_D_real: -0.006159 Loss_D_fake 0.015373
[1208/5000][110/535][124571] Loss_D: -0.020318 Loss_G: 0.005296 Loss_D_real: -0.010122 Loss_D_fake 0.010196
[1208/5000][115/535][124572] Loss_D: -0.020574 Loss_G: 0.008634 Loss_D_real: -0.023450 Loss_D_fake -0.002876
[1208/5000][120/535][124573] Loss_D: -0.020941 Loss_G: -0.010731 Loss_D_real: 0.001474 Loss_D_fake 0.022415
[1208/5000][125/535][124574] Loss_D: -0.020831 Loss_G: 0.005939 Loss_D_real: -0.025120 Loss_D_fake -0.004289
[1208/5000][130/535][124575] Loss_D: -0.021473 Loss_G: 0.009215 Loss_D_real: -0.008205 Loss_D_fake 0.013268
[1208/5000][135/535][124576] Loss_D: -0.019935 Loss_G: 0.019547 Loss_D_real: -0.020215 Loss_D_fake -0.000280
[1208/5000][140/535][124577] Loss_D: -0.018944 Loss_G: -0.008407 Loss_D_real: -0.014105 Loss_D_fake 0.004839
[1208/5000][145/535][124578] Loss_D: -0.019564 Loss_G: 0.014423 Loss_D_real: -0.032469 Loss_D_fake -0.012905
[1208/5000][150/535][124579] Loss_D: -0.020485 Loss_G: -0.004481 Loss_D_real: -0.025077 Loss_D_fake -0.004592
[1208/5000][155/535][124580] Loss_D: -0.020451 Loss_G: -0.007126 Loss_D_real: -0.019470 Loss_D_fake 0.000981
[1208/5000][160/535][124581] Loss_D: -0.020186 Loss_G: 0.023890 Loss_D_real: -0.022122 Loss_D_fake -0.001935
[1208/5000][165/535][124582] Loss_D: -0.020667 Loss_G: -0.004566 Loss_D_real: -0.024285 Loss_D_fake -0.003617
[1208/5000][170/535][124583] Loss_D: -0.019704 Loss_G: 0.009630 Loss_D_real: -0.016530 Loss_D_fake 0.003173
[1208/5000][175/535][124584] Loss_D: -0.018428 Loss_G: 0.031428 Loss_D_real: -0.037462 Loss_D_fake -0.019034
[1208/5000][180/535][124585] Loss_D: -0.019934 Loss_G: -0.002178 Loss_D_real: -0.010423 Loss_D_fake 0.009511
[1208/5000][185/535][124586] Loss_D: -0.020815 Loss_G: -0.004224 Loss_D_real: -0.018593 Loss_D_fake 0.002221
[1208/5000][190/535][124587] Loss_D: -0.020986 Loss_G: 0.015759 Loss_D_real: -0.025998 Loss_D_fake -0.005012
[1208/5000][195/535][124588] Loss_D: -0.021438 Loss_G: -0.004346 Loss_D_real: -0.009207 Loss_D_fake 0.012232
[1208/5000][200/535][124589] Loss_D: -0.020391 Loss_G: 0.003245 Loss_D_real: -0.012695 Loss_D_fake 0.007696
[1208/5000][205/535][124590] Loss_D: -0.021439 Loss_G: 0.008362 Loss_D_real: -0.017848 Loss_D_fake 0.003592
[1208/5000][210/535][124591] Loss_D: -0.020296 Loss_G: 0.008358 Loss_D_real: -0.016709 Loss_D_fake 0.003587
[1208/5000][215/535][124592] Loss_D: -0.017955 Loss_G: 0.023892 Loss_D_real: -0.031108 Loss_D_fake -0.013153
[1208/5000][220/535][124593] Loss_D: -0.020291 Loss_G: 0.004719 Loss_D_real: -0.018645 Loss_D_fake 0.001646
[1208/5000][225/535][124594] Loss_D: -0.018619 Loss_G: 0.009430 Loss_D_real: -0.030322 Loss_D_fake -0.011703
[1208/5000][230/535][124595] Loss_D: -0.019049 Loss_G: 0.006007 Loss_D_real: -0.003663 Loss_D_fake 0.015386
[1208/5000][235/535][124596] Loss_D: -0.020818 Loss_G: -0.001451 Loss_D_real: -0.007686 Loss_D_fake 0.013132
[1208/5000][240/535][124597] Loss_D: -0.020142 Loss_G: 0.010848 Loss_D_real: -0.018005 Loss_D_fake 0.002137
[1208/5000][245/535][124598] Loss_D: -0.021415 Loss_G: 0.020254 Loss_D_real: -0.020066 Loss_D_fake 0.001349
[1208/5000][250/535][124599] Loss_D: -0.020834 Loss_G: 0.001415 Loss_D_real: -0.009861 Loss_D_fake 0.010973
[1208/5000][255/535][124600] Loss_D: -0.020449 Loss_G: 0.005466 Loss_D_real: -0.011994 Loss_D_fake 0.008455
[1208/5000][260/535][124601] Loss_D: -0.021234 Loss_G: -0.007543 Loss_D_real: -0.012860 Loss_D_fake 0.008374
[1208/5000][265/535][124602] Loss_D: -0.020520 Loss_G: -0.002797 Loss_D_real: -0.008007 Loss_D_fake 0.012513
[1208/5000][270/535][124603] Loss_D: -0.020092 Loss_G: 0.021375 Loss_D_real: -0.034044 Loss_D_fake -0.013953
[1208/5000][275/535][124604] Loss_D: -0.019083 Loss_G: 0.011704 Loss_D_real: -0.025481 Loss_D_fake -0.006398
[1208/5000][280/535][124605] Loss_D: -0.019647 Loss_G: 0.009546 Loss_D_real: -0.011688 Loss_D_fake 0.007959
[1208/5000][285/535][124606] Loss_D: -0.019260 Loss_G: -0.005121 Loss_D_real: -0.008173 Loss_D_fake 0.011087
[1208/5000][290/535][124607] Loss_D: -0.018592 Loss_G: 0.023379 Loss_D_real: -0.032107 Loss_D_fake -0.013515
[1208/5000][295/535][124608] Loss_D: -0.020828 Loss_G: -0.011424 Loss_D_real: -0.012590 Loss_D_fake 0.008238
[1208/5000][300/535][124609] Loss_D: -0.020978 Loss_G: 0.004421 Loss_D_real: -0.010727 Loss_D_fake 0.010251
[1208/5000][305/535][124610] Loss_D: -0.021241 Loss_G: 0.031079 Loss_D_real: -0.027501 Loss_D_fake -0.006259
[1208/5000][310/535][124611] Loss_D: -0.019674 Loss_G: 0.008243 Loss_D_real: -0.014133 Loss_D_fake 0.005541
[1208/5000][315/535][124612] Loss_D: -0.019746 Loss_G: 0.009644 Loss_D_real: -0.007388 Loss_D_fake 0.012359
[1208/5000][320/535][124613] Loss_D: -0.019841 Loss_G: 0.002733 Loss_D_real: -0.011803 Loss_D_fake 0.008038
[1208/5000][325/535][124614] Loss_D: -0.022418 Loss_G: 0.013895 Loss_D_real: -0.027672 Loss_D_fake -0.005254
[1208/5000][330/535][124615] Loss_D: -0.020512 Loss_G: 0.003913 Loss_D_real: -0.024500 Loss_D_fake -0.003988
[1208/5000][335/535][124616] Loss_D: -0.021174 Loss_G: -0.011003 Loss_D_real: -0.005162 Loss_D_fake 0.016012
[1208/5000][340/535][124617] Loss_D: -0.020039 Loss_G: 0.019355 Loss_D_real: -0.015843 Loss_D_fake 0.004196
[1208/5000][345/535][124618] Loss_D: -0.019224 Loss_G: -0.013862 Loss_D_real: -0.003253 Loss_D_fake 0.015971
[1208/5000][350/535][124619] Loss_D: -0.019950 Loss_G: -0.002898 Loss_D_real: -0.001178 Loss_D_fake 0.018773
[1208/5000][355/535][124620] Loss_D: -0.019466 Loss_G: -0.006496 Loss_D_real: -0.002363 Loss_D_fake 0.017103
[1208/5000][360/535][124621] Loss_D: -0.018889 Loss_G: -0.005797 Loss_D_real: -0.022900 Loss_D_fake -0.004011
[1208/5000][365/535][124622] Loss_D: -0.020044 Loss_G: 0.000725 Loss_D_real: -0.021591 Loss_D_fake -0.001546
[1208/5000][370/535][124623] Loss_D: -0.020462 Loss_G: 0.003319 Loss_D_real: -0.016863 Loss_D_fake 0.003600
[1208/5000][375/535][124624] Loss_D: -0.020911 Loss_G: 0.002921 Loss_D_real: -0.018786 Loss_D_fake 0.002125
[1208/5000][380/535][124625] Loss_D: -0.020759 Loss_G: 0.019507 Loss_D_real: -0.025478 Loss_D_fake -0.004719
[1208/5000][385/535][124626] Loss_D: -0.020726 Loss_G: 0.010301 Loss_D_real: -0.024333 Loss_D_fake -0.003606
[1208/5000][390/535][124627] Loss_D: -0.018667 Loss_G: -0.018028 Loss_D_real: -0.008354 Loss_D_fake 0.010313
[1208/5000][395/535][124628] Loss_D: -0.021591 Loss_G: 0.003971 Loss_D_real: -0.021245 Loss_D_fake 0.000347
[1208/5000][400/535][124629] Loss_D: -0.020841 Loss_G: -0.008947 Loss_D_real: 0.000910 Loss_D_fake 0.021751
[1208/5000][405/535][124630] Loss_D: -0.020833 Loss_G: 0.018243 Loss_D_real: -0.019602 Loss_D_fake 0.001230
[1208/5000][410/535][124631] Loss_D: -0.020142 Loss_G: 0.001146 Loss_D_real: -0.019343 Loss_D_fake 0.000799
[1208/5000][415/535][124632] Loss_D: -0.020334 Loss_G: 0.009265 Loss_D_real: -0.016574 Loss_D_fake 0.003761
[1208/5000][420/535][124633] Loss_D: -0.020517 Loss_G: 0.020141 Loss_D_real: -0.020156 Loss_D_fake 0.000361
[1208/5000][425/535][124634] Loss_D: -0.019846 Loss_G: -0.019947 Loss_D_real: -0.004072 Loss_D_fake 0.015773
[1208/5000][430/535][124635] Loss_D: -0.019122 Loss_G: -0.004192 Loss_D_real: -0.013323 Loss_D_fake 0.005799
[1208/5000][435/535][124636] Loss_D: -0.020581 Loss_G: 0.009789 Loss_D_real: -0.008669 Loss_D_fake 0.011913
[1208/5000][440/535][124637] Loss_D: -0.020073 Loss_G: -0.012130 Loss_D_real: 0.002700 Loss_D_fake 0.022774
[1208/5000][445/535][124638] Loss_D: -0.019367 Loss_G: 0.029195 Loss_D_real: -0.035315 Loss_D_fake -0.015948
[1208/5000][450/535][124639] Loss_D: -0.020346 Loss_G: 0.007741 Loss_D_real: -0.018039 Loss_D_fake 0.002307
[1208/5000][455/535][124640] Loss_D: -0.020986 Loss_G: 0.024407 Loss_D_real: -0.020658 Loss_D_fake 0.000328
[1208/5000][460/535][124641] Loss_D: -0.020356 Loss_G: -0.000960 Loss_D_real: -0.013602 Loss_D_fake 0.006754
[1208/5000][465/535][124642] Loss_D: -0.020212 Loss_G: 0.023265 Loss_D_real: -0.021627 Loss_D_fake -0.001416
[1208/5000][470/535][124643] Loss_D: -0.020914 Loss_G: 0.020909 Loss_D_real: -0.019080 Loss_D_fake 0.001834
[1208/5000][475/535][124644] Loss_D: -0.020622 Loss_G: -0.002381 Loss_D_real: -0.011834 Loss_D_fake 0.008787
[1208/5000][480/535][124645] Loss_D: -0.017744 Loss_G: 0.030187 Loss_D_real: -0.034689 Loss_D_fake -0.016945
[1208/5000][485/535][124646] Loss_D: -0.019957 Loss_G: -0.006011 Loss_D_real: -0.018827 Loss_D_fake 0.001131
[1208/5000][490/535][124647] Loss_D: -0.019937 Loss_G: 0.002593 Loss_D_real: -0.015314 Loss_D_fake 0.004623
[1208/5000][495/535][124648] Loss_D: -0.020486 Loss_G: 0.012369 Loss_D_real: -0.018843 Loss_D_fake 0.001643
[1208/5000][500/535][124649] Loss_D: -0.020663 Loss_G: 0.008983 Loss_D_real: -0.016068 Loss_D_fake 0.004595
[1208/5000][505/535][124650] Loss_D: -0.019548 Loss_G: 0.008520 Loss_D_real: -0.013617 Loss_D_fake 0.005932
[1208/5000][510/535][124651] Loss_D: -0.021091 Loss_G: -0.001643 Loss_D_real: -0.015208 Loss_D_fake 0.005884
[1208/5000][515/535][124652] Loss_D: -0.020820 Loss_G: 0.011973 Loss_D_real: -0.019280 Loss_D_fake 0.001540
[1208/5000][520/535][124653] Loss_D: -0.020815 Loss_G: -0.001132 Loss_D_real: -0.023113 Loss_D_fake -0.002299
[1208/5000][525/535][124654] Loss_D: -0.021394 Loss_G: 0.002166 Loss_D_real: -0.013969 Loss_D_fake 0.007426
[1208/5000][530/535][124655] Loss_D: -0.020104 Loss_G: -0.004199 Loss_D_real: -0.008703 Loss_D_fake 0.011401
[1208/5000][535/535][124656] Loss_D: -0.022746 Loss_G: 0.031547 Loss_D_real: -0.028924 Loss_D_fake -0.006178
[1209/5000][5/535][124657] Loss_D: -0.020827 Loss_G: -0.004242 Loss_D_real: -0.007007 Loss_D_fake 0.013820
[1209/5000][10/535][124658] Loss_D: -0.020185 Loss_G: 0.006019 Loss_D_real: -0.017431 Loss_D_fake 0.002754
[1209/5000][15/535][124659] Loss_D: -0.019350 Loss_G: 0.002608 Loss_D_real: -0.012659 Loss_D_fake 0.006691
[1209/5000][20/535][124660] Loss_D: -0.020724 Loss_G: 0.013082 Loss_D_real: -0.022386 Loss_D_fake -0.001663
[1209/5000][25/535][124661] Loss_D: -0.019328 Loss_G: -0.007014 Loss_D_real: -0.010624 Loss_D_fake 0.008704
[1209/5000][30/535][124662] Loss_D: -0.019462 Loss_G: 0.017989 Loss_D_real: -0.024544 Loss_D_fake -0.005082
[1209/5000][35/535][124663] Loss_D: -0.019341 Loss_G: -0.004982 Loss_D_real: -0.005757 Loss_D_fake 0.013584
[1209/5000][40/535][124664] Loss_D: -0.020010 Loss_G: 0.000422 Loss_D_real: -0.015737 Loss_D_fake 0.004273
[1209/5000][45/535][124665] Loss_D: -0.020025 Loss_G: 0.023159 Loss_D_real: -0.030821 Loss_D_fake -0.010796
[1209/5000][50/535][124666] Loss_D: -0.021199 Loss_G: 0.021583 Loss_D_real: -0.022874 Loss_D_fake -0.001675
[1209/5000][55/535][124667] Loss_D: -0.020695 Loss_G: 0.023224 Loss_D_real: -0.030201 Loss_D_fake -0.009506
[1209/5000][60/535][124668] Loss_D: -0.020452 Loss_G: -0.006262 Loss_D_real: -0.006177 Loss_D_fake 0.014276
[1209/5000][65/535][124669] Loss_D: -0.022414 Loss_G: -0.003305 Loss_D_real: -0.011015 Loss_D_fake 0.011398
[1209/5000][70/535][124670] Loss_D: -0.019951 Loss_G: 0.016148 Loss_D_real: -0.028003 Loss_D_fake -0.008052
[1209/5000][75/535][124671] Loss_D: -0.021417 Loss_G: 0.016967 Loss_D_real: -0.029520 Loss_D_fake -0.008103
[1209/5000][80/535][124672] Loss_D: -0.020554 Loss_G: -0.017131 Loss_D_real: 0.004767 Loss_D_fake 0.025321
[1209/5000][85/535][124673] Loss_D: -0.018749 Loss_G: 0.018928 Loss_D_real: -0.034094 Loss_D_fake -0.015345
[1209/5000][90/535][124674] Loss_D: -0.021068 Loss_G: 0.008561 Loss_D_real: -0.018835 Loss_D_fake 0.002233
[1209/5000][95/535][124675] Loss_D: -0.019599 Loss_G: 0.013554 Loss_D_real: -0.025244 Loss_D_fake -0.005645
[1209/5000][100/535][124676] Loss_D: -0.020490 Loss_G: -0.003637 Loss_D_real: -0.013144 Loss_D_fake 0.007345
[1209/5000][105/535][124677] Loss_D: -0.020099 Loss_G: 0.016918 Loss_D_real: -0.023427 Loss_D_fake -0.003328
[1209/5000][110/535][124678] Loss_D: -0.020406 Loss_G: -0.003174 Loss_D_real: -0.008628 Loss_D_fake 0.011779
[1209/5000][115/535][124679] Loss_D: -0.020166 Loss_G: -0.009595 Loss_D_real: -0.009174 Loss_D_fake 0.010992
[1209/5000][120/535][124680] Loss_D: -0.021531 Loss_G: 0.008789 Loss_D_real: -0.018258 Loss_D_fake 0.003273
[1209/5000][125/535][124681] Loss_D: -0.021252 Loss_G: 0.020774 Loss_D_real: -0.025091 Loss_D_fake -0.003839
[1209/5000][130/535][124682] Loss_D: -0.021511 Loss_G: 0.003018 Loss_D_real: -0.001632 Loss_D_fake 0.019879
[1209/5000][135/535][124683] Loss_D: -0.021209 Loss_G: 0.003081 Loss_D_real: -0.015261 Loss_D_fake 0.005948
[1209/5000][140/535][124684] Loss_D: -0.020553 Loss_G: 0.013510 Loss_D_real: -0.021373 Loss_D_fake -0.000820
[1209/5000][145/535][124685] Loss_D: -0.020459 Loss_G: -0.003072 Loss_D_real: -0.019449 Loss_D_fake 0.001009
[1209/5000][150/535][124686] Loss_D: -0.020749 Loss_G: 0.006493 Loss_D_real: -0.009989 Loss_D_fake 0.010760
[1209/5000][155/535][124687] Loss_D: -0.019900 Loss_G: 0.003337 Loss_D_real: -0.010489 Loss_D_fake 0.009411
[1209/5000][160/535][124688] Loss_D: -0.019273 Loss_G: 0.023866 Loss_D_real: -0.015871 Loss_D_fake 0.003402
[1209/5000][165/535][124689] Loss_D: -0.019008 Loss_G: 0.005172 Loss_D_real: -0.023723 Loss_D_fake -0.004715
[1209/5000][170/535][124690] Loss_D: -0.018392 Loss_G: -0.014674 Loss_D_real: -0.007951 Loss_D_fake 0.010441
[1209/5000][175/535][124691] Loss_D: -0.020159 Loss_G: 0.018240 Loss_D_real: -0.019519 Loss_D_fake 0.000640
[1209/5000][180/535][124692] Loss_D: -0.019703 Loss_G: 0.002149 Loss_D_real: -0.013043 Loss_D_fake 0.006660
[1209/5000][185/535][124693] Loss_D: -0.019278 Loss_G: -0.007582 Loss_D_real: -0.008755 Loss_D_fake 0.010523
[1209/5000][190/535][124694] Loss_D: -0.019316 Loss_G: 0.018764 Loss_D_real: -0.036653 Loss_D_fake -0.017338
[1209/5000][195/535][124695] Loss_D: -0.020634 Loss_G: -0.006325 Loss_D_real: -0.015470 Loss_D_fake 0.005163
[1209/5000][200/535][124696] Loss_D: -0.019652 Loss_G: 0.004591 Loss_D_real: -0.018536 Loss_D_fake 0.001117
[1209/5000][205/535][124697] Loss_D: -0.019903 Loss_G: -0.004281 Loss_D_real: -0.007187 Loss_D_fake 0.012716
[1209/5000][210/535][124698] Loss_D: -0.018666 Loss_G: -0.005855 Loss_D_real: -0.009882 Loss_D_fake 0.008784
[1209/5000][215/535][124699] Loss_D: -0.020038 Loss_G: 0.009876 Loss_D_real: -0.011626 Loss_D_fake 0.008412
[1209/5000][220/535][124700] Loss_D: -0.019767 Loss_G: 0.008173 Loss_D_real: -0.019036 Loss_D_fake 0.000731
[1209/5000][225/535][124701] Loss_D: -0.020998 Loss_G: 0.002637 Loss_D_real: -0.010564 Loss_D_fake 0.010434
[1209/5000][230/535][124702] Loss_D: -0.022099 Loss_G: 0.013701 Loss_D_real: -0.025273 Loss_D_fake -0.003174
[1209/5000][235/535][124703] Loss_D: -0.021236 Loss_G: -0.003007 Loss_D_real: -0.011419 Loss_D_fake 0.009817
[1209/5000][240/535][124704] Loss_D: -0.020414 Loss_G: 0.000248 Loss_D_real: -0.003024 Loss_D_fake 0.017389
[1209/5000][245/535][124705] Loss_D: -0.020889 Loss_G: -0.003690 Loss_D_real: -0.028426 Loss_D_fake -0.007537
[1209/5000][250/535][124706] Loss_D: -0.020479 Loss_G: 0.024050 Loss_D_real: -0.020613 Loss_D_fake -0.000134
[1209/5000][255/535][124707] Loss_D: -0.021419 Loss_G: 0.017056 Loss_D_real: -0.026627 Loss_D_fake -0.005208
[1209/5000][260/535][124708] Loss_D: -0.020463 Loss_G: 0.008277 Loss_D_real: -0.025128 Loss_D_fake -0.004665
[1209/5000][265/535][124709] Loss_D: -0.021182 Loss_G: 0.008527 Loss_D_real: -0.010430 Loss_D_fake 0.010751
[1209/5000][270/535][124710] Loss_D: -0.021768 Loss_G: -0.004184 Loss_D_real: -0.008889 Loss_D_fake 0.012879
[1209/5000][275/535][124711] Loss_D: -0.021015 Loss_G: 0.004774 Loss_D_real: -0.016319 Loss_D_fake 0.004696
[1209/5000][280/535][124712] Loss_D: -0.019561 Loss_G: 0.000009 Loss_D_real: -0.002422 Loss_D_fake 0.017139
[1209/5000][285/535][124713] Loss_D: -0.020864 Loss_G: -0.000430 Loss_D_real: -0.011706 Loss_D_fake 0.009158
[1209/5000][290/535][124714] Loss_D: -0.019697 Loss_G: -0.029392 Loss_D_real: -0.003814 Loss_D_fake 0.015883
[1209/5000][295/535][124715] Loss_D: -0.019433 Loss_G: 0.020464 Loss_D_real: -0.024273 Loss_D_fake -0.004840
[1209/5000][300/535][124716] Loss_D: -0.022370 Loss_G: 0.017707 Loss_D_real: -0.015088 Loss_D_fake 0.007282
[1209/5000][305/535][124717] Loss_D: -0.020273 Loss_G: 0.005338 Loss_D_real: -0.013031 Loss_D_fake 0.007243
[1209/5000][310/535][124718] Loss_D: -0.020455 Loss_G: -0.005469 Loss_D_real: -0.016755 Loss_D_fake 0.003701
[1209/5000][315/535][124719] Loss_D: -0.018810 Loss_G: 0.006692 Loss_D_real: -0.041808 Loss_D_fake -0.022997
[1209/5000][320/535][124720] Loss_D: -0.018391 Loss_G: -0.018983 Loss_D_real: -0.001725 Loss_D_fake 0.016666
[1209/5000][325/535][124721] Loss_D: -0.019436 Loss_G: 0.019324 Loss_D_real: -0.026484 Loss_D_fake -0.007049
[1209/5000][330/535][124722] Loss_D: -0.020990 Loss_G: 0.001352 Loss_D_real: -0.008689 Loss_D_fake 0.012301
[1209/5000][335/535][124723] Loss_D: -0.020137 Loss_G: 0.000269 Loss_D_real: -0.000061 Loss_D_fake 0.020076
[1209/5000][340/535][124724] Loss_D: -0.019527 Loss_G: -0.003456 Loss_D_real: -0.000614 Loss_D_fake 0.018913
[1209/5000][345/535][124725] Loss_D: -0.019469 Loss_G: -0.000355 Loss_D_real: -0.010018 Loss_D_fake 0.009451
[1209/5000][350/535][124726] Loss_D: -0.019912 Loss_G: -0.000457 Loss_D_real: -0.011719 Loss_D_fake 0.008194
[1209/5000][355/535][124727] Loss_D: -0.019901 Loss_G: 0.010539 Loss_D_real: -0.015330 Loss_D_fake 0.004571
[1209/5000][360/535][124728] Loss_D: -0.021400 Loss_G: 0.012844 Loss_D_real: -0.010813 Loss_D_fake 0.010586
[1209/5000][365/535][124729] Loss_D: -0.019925 Loss_G: -0.000445 Loss_D_real: -0.010039 Loss_D_fake 0.009886
[1209/5000][370/535][124730] Loss_D: -0.019875 Loss_G: -0.002496 Loss_D_real: -0.012909 Loss_D_fake 0.006965
[1209/5000][375/535][124731] Loss_D: -0.020952 Loss_G: 0.006086 Loss_D_real: -0.026389 Loss_D_fake -0.005438
[1209/5000][380/535][124732] Loss_D: -0.020452 Loss_G: 0.018974 Loss_D_real: -0.021809 Loss_D_fake -0.001357
[1209/5000][385/535][124733] Loss_D: -0.020197 Loss_G: 0.020131 Loss_D_real: -0.031813 Loss_D_fake -0.011616
[1209/5000][390/535][124734] Loss_D: -0.019135 Loss_G: 0.018326 Loss_D_real: -0.027435 Loss_D_fake -0.008300
[1209/5000][395/535][124735] Loss_D: -0.020715 Loss_G: 0.015268 Loss_D_real: -0.027357 Loss_D_fake -0.006642
[1209/5000][400/535][124736] Loss_D: -0.020704 Loss_G: 0.010853 Loss_D_real: -0.004326 Loss_D_fake 0.016378
[1209/5000][405/535][124737] Loss_D: -0.019424 Loss_G: 0.015177 Loss_D_real: -0.026071 Loss_D_fake -0.006647
[1209/5000][410/535][124738] Loss_D: -0.019985 Loss_G: -0.007559 Loss_D_real: -0.010864 Loss_D_fake 0.009121
[1209/5000][415/535][124739] Loss_D: -0.019916 Loss_G: -0.005653 Loss_D_real: -0.024572 Loss_D_fake -0.004656
[1209/5000][420/535][124740] Loss_D: -0.020813 Loss_G: -0.001168 Loss_D_real: -0.005564 Loss_D_fake 0.015249
[1209/5000][425/535][124741] Loss_D: -0.022106 Loss_G: 0.002474 Loss_D_real: -0.018255 Loss_D_fake 0.003851
[1209/5000][430/535][124742] Loss_D: -0.021697 Loss_G: 0.001577 Loss_D_real: -0.019779 Loss_D_fake 0.001918
[1209/5000][435/535][124743] Loss_D: -0.021121 Loss_G: -0.003476 Loss_D_real: -0.009971 Loss_D_fake 0.011150
[1209/5000][440/535][124744] Loss_D: -0.020076 Loss_G: -0.003272 Loss_D_real: -0.003944 Loss_D_fake 0.016132
[1209/5000][445/535][124745] Loss_D: -0.020499 Loss_G: 0.028689 Loss_D_real: -0.035029 Loss_D_fake -0.014530
[1209/5000][450/535][124746] Loss_D: -0.020288 Loss_G: 0.001241 Loss_D_real: -0.015124 Loss_D_fake 0.005163
[1209/5000][455/535][124747] Loss_D: -0.020244 Loss_G: -0.000879 Loss_D_real: -0.004775 Loss_D_fake 0.015469
[1209/5000][460/535][124748] Loss_D: -0.019175 Loss_G: 0.000716 Loss_D_real: -0.016815 Loss_D_fake 0.002360
[1209/5000][465/535][124749] Loss_D: -0.019704 Loss_G: 0.002926 Loss_D_real: -0.015942 Loss_D_fake 0.003762
[1209/5000][470/535][124750] Loss_D: -0.020664 Loss_G: 0.000050 Loss_D_real: -0.025493 Loss_D_fake -0.004829
[1209/5000][475/535][124751] Loss_D: -0.022212 Loss_G: 0.011654 Loss_D_real: -0.018109 Loss_D_fake 0.004103
[1209/5000][480/535][124752] Loss_D: -0.021543 Loss_G: 0.001285 Loss_D_real: -0.021606 Loss_D_fake -0.000062
[1209/5000][485/535][124753] Loss_D: -0.020664 Loss_G: -0.007433 Loss_D_real: -0.005115 Loss_D_fake 0.015549
[1209/5000][490/535][124754] Loss_D: -0.020509 Loss_G: 0.001183 Loss_D_real: -0.017227 Loss_D_fake 0.003283
[1209/5000][495/535][124755] Loss_D: -0.019979 Loss_G: 0.016362 Loss_D_real: -0.027569 Loss_D_fake -0.007590
[1209/5000][500/535][124756] Loss_D: -0.020303 Loss_G: 0.013096 Loss_D_real: -0.022133 Loss_D_fake -0.001830
[1209/5000][505/535][124757] Loss_D: -0.019131 Loss_G: 0.006060 Loss_D_real: -0.032437 Loss_D_fake -0.013306
[1209/5000][510/535][124758] Loss_D: -0.018942 Loss_G: 0.006577 Loss_D_real: -0.018965 Loss_D_fake -0.000023
[1209/5000][515/535][124759] Loss_D: -0.019661 Loss_G: 0.018125 Loss_D_real: -0.032788 Loss_D_fake -0.013127
[1209/5000][520/535][124760] Loss_D: -0.020261 Loss_G: 0.013166 Loss_D_real: -0.027660 Loss_D_fake -0.007399
[1209/5000][525/535][124761] Loss_D: -0.020918 Loss_G: 0.006622 Loss_D_real: -0.025453 Loss_D_fake -0.004535
[1209/5000][530/535][124762] Loss_D: -0.019234 Loss_G: 0.008152 Loss_D_real: -0.024747 Loss_D_fake -0.005514
[1209/5000][535/535][124763] Loss_D: -0.018461 Loss_G: -0.039892 Loss_D_real: 0.002795 Loss_D_fake 0.021257
[1210/5000][5/535][124764] Loss_D: -0.020095 Loss_G: 0.000214 Loss_D_real: -0.002949 Loss_D_fake 0.017147
[1210/5000][10/535][124765] Loss_D: -0.018950 Loss_G: -0.005374 Loss_D_real: -0.015191 Loss_D_fake 0.003758
[1210/5000][15/535][124766] Loss_D: -0.018896 Loss_G: 0.020323 Loss_D_real: -0.029886 Loss_D_fake -0.010990
[1210/5000][20/535][124767] Loss_D: -0.019607 Loss_G: 0.009430 Loss_D_real: -0.014844 Loss_D_fake 0.004763
[1210/5000][25/535][124768] Loss_D: -0.019834 Loss_G: 0.004889 Loss_D_real: -0.021505 Loss_D_fake -0.001671
[1210/5000][30/535][124769] Loss_D: -0.020981 Loss_G: 0.009571 Loss_D_real: -0.016169 Loss_D_fake 0.004812
[1210/5000][35/535][124770] Loss_D: -0.020631 Loss_G: 0.020648 Loss_D_real: -0.019382 Loss_D_fake 0.001249
[1210/5000][40/535][124771] Loss_D: -0.022590 Loss_G: 0.027778 Loss_D_real: -0.025436 Loss_D_fake -0.002846
[1210/5000][45/535][124772] Loss_D: -0.019533 Loss_G: -0.008668 Loss_D_real: -0.001558 Loss_D_fake 0.017975
[1210/5000][50/535][124773] Loss_D: -0.020758 Loss_G: -0.006430 Loss_D_real: -0.015708 Loss_D_fake 0.005051
[1210/5000][55/535][124774] Loss_D: -0.019180 Loss_G: 0.002830 Loss_D_real: -0.011932 Loss_D_fake 0.007249
[1210/5000][60/535][124775] Loss_D: -0.019743 Loss_G: -0.008064 Loss_D_real: -0.002013 Loss_D_fake 0.017730
[1210/5000][65/535][124776] Loss_D: -0.020313 Loss_G: 0.004617 Loss_D_real: -0.005358 Loss_D_fake 0.014955
[1210/5000][70/535][124777] Loss_D: -0.019965 Loss_G: 0.023608 Loss_D_real: -0.016150 Loss_D_fake 0.003814
[1210/5000][75/535][124778] Loss_D: -0.020774 Loss_G: 0.007869 Loss_D_real: -0.012129 Loss_D_fake 0.008645
[1210/5000][80/535][124779] Loss_D: -0.019740 Loss_G: 0.007812 Loss_D_real: -0.025747 Loss_D_fake -0.006007
[1210/5000][85/535][124780] Loss_D: -0.020558 Loss_G: 0.001159 Loss_D_real: -0.013743 Loss_D_fake 0.006815
[1210/5000][90/535][124781] Loss_D: -0.019826 Loss_G: 0.019086 Loss_D_real: -0.021883 Loss_D_fake -0.002058
[1210/5000][95/535][124782] Loss_D: -0.019737 Loss_G: -0.000106 Loss_D_real: -0.019271 Loss_D_fake 0.000466
[1210/5000][100/535][124783] Loss_D: -0.019777 Loss_G: 0.009749 Loss_D_real: -0.020297 Loss_D_fake -0.000520
[1210/5000][105/535][124784] Loss_D: -0.019007 Loss_G: 0.026501 Loss_D_real: -0.030964 Loss_D_fake -0.011958
[1210/5000][110/535][124785] Loss_D: -0.021857 Loss_G: -0.001666 Loss_D_real: -0.018386 Loss_D_fake 0.003471
[1210/5000][115/535][124786] Loss_D: -0.021335 Loss_G: 0.010998 Loss_D_real: -0.015364 Loss_D_fake 0.005971
[1210/5000][120/535][124787] Loss_D: -0.020828 Loss_G: 0.021356 Loss_D_real: -0.028966 Loss_D_fake -0.008138
[1210/5000][125/535][124788] Loss_D: -0.018644 Loss_G: 0.022249 Loss_D_real: -0.036405 Loss_D_fake -0.017761
[1210/5000][130/535][124789] Loss_D: -0.019517 Loss_G: -0.016354 Loss_D_real: -0.004057 Loss_D_fake 0.015460
[1210/5000][135/535][124790] Loss_D: -0.020111 Loss_G: 0.013471 Loss_D_real: -0.024634 Loss_D_fake -0.004524
[1210/5000][140/535][124791] Loss_D: -0.019073 Loss_G: -0.016369 Loss_D_real: -0.001870 Loss_D_fake 0.017203
[1210/5000][145/535][124792] Loss_D: -0.020518 Loss_G: 0.024488 Loss_D_real: -0.019953 Loss_D_fake 0.000565
[1210/5000][150/535][124793] Loss_D: -0.019385 Loss_G: 0.012287 Loss_D_real: -0.027381 Loss_D_fake -0.007996
[1210/5000][155/535][124794] Loss_D: -0.021228 Loss_G: -0.000561 Loss_D_real: -0.004063 Loss_D_fake 0.017165
[1210/5000][160/535][124795] Loss_D: -0.021513 Loss_G: 0.003151 Loss_D_real: -0.021356 Loss_D_fake 0.000157
[1210/5000][165/535][124796] Loss_D: -0.020991 Loss_G: 0.000904 Loss_D_real: -0.014862 Loss_D_fake 0.006129
[1210/5000][170/535][124797] Loss_D: -0.020314 Loss_G: 0.008275 Loss_D_real: -0.027322 Loss_D_fake -0.007008
[1210/5000][175/535][124798] Loss_D: -0.020450 Loss_G: 0.016267 Loss_D_real: -0.018682 Loss_D_fake 0.001768
[1210/5000][180/535][124799] Loss_D: -0.019035 Loss_G: 0.012623 Loss_D_real: -0.038036 Loss_D_fake -0.019001
[1210/5000][185/535][124800] Loss_D: -0.019744 Loss_G: 0.006794 Loss_D_real: -0.027608 Loss_D_fake -0.007864
[1210/5000][190/535][124801] Loss_D: -0.019855 Loss_G: 0.007893 Loss_D_real: -0.008078 Loss_D_fake 0.011777
[1210/5000][195/535][124802] Loss_D: -0.021593 Loss_G: -0.003604 Loss_D_real: -0.002069 Loss_D_fake 0.019523
[1210/5000][200/535][124803] Loss_D: -0.019907 Loss_G: 0.011304 Loss_D_real: -0.020877 Loss_D_fake -0.000970
[1210/5000][205/535][124804] Loss_D: -0.018999 Loss_G: -0.011622 Loss_D_real: 0.003371 Loss_D_fake 0.022370
[1210/5000][210/535][124805] Loss_D: -0.019628 Loss_G: -0.014000 Loss_D_real: -0.003770 Loss_D_fake 0.015858
[1210/5000][215/535][124806] Loss_D: -0.021075 Loss_G: 0.021023 Loss_D_real: -0.022993 Loss_D_fake -0.001918
[1210/5000][220/535][124807] Loss_D: -0.021775 Loss_G: 0.009147 Loss_D_real: -0.005151 Loss_D_fake 0.016625
[1210/5000][225/535][124808] Loss_D: -0.019062 Loss_G: 0.013955 Loss_D_real: -0.034972 Loss_D_fake -0.015910
[1210/5000][230/535][124809] Loss_D: -0.021072 Loss_G: 0.020048 Loss_D_real: -0.024310 Loss_D_fake -0.003238
[1210/5000][235/535][124810] Loss_D: -0.019039 Loss_G: 0.017171 Loss_D_real: -0.025188 Loss_D_fake -0.006149
[1210/5000][240/535][124811] Loss_D: -0.021674 Loss_G: 0.009062 Loss_D_real: -0.036093 Loss_D_fake -0.014419
[1210/5000][245/535][124812] Loss_D: -0.020002 Loss_G: 0.020379 Loss_D_real: -0.024873 Loss_D_fake -0.004871
[1210/5000][250/535][124813] Loss_D: -0.021582 Loss_G: 0.006967 Loss_D_real: -0.018419 Loss_D_fake 0.003162
[1210/5000][255/535][124814] Loss_D: -0.019673 Loss_G: 0.004969 Loss_D_real: -0.013154 Loss_D_fake 0.006519
[1210/5000][260/535][124815] Loss_D: -0.020136 Loss_G: 0.007878 Loss_D_real: -0.019563 Loss_D_fake 0.000573
[1210/5000][265/535][124816] Loss_D: -0.019530 Loss_G: 0.023182 Loss_D_real: -0.033690 Loss_D_fake -0.014160
[1210/5000][270/535][124817] Loss_D: -0.021251 Loss_G: 0.001545 Loss_D_real: -0.012331 Loss_D_fake 0.008920
[1210/5000][275/535][124818] Loss_D: -0.019738 Loss_G: 0.001422 Loss_D_real: -0.016940 Loss_D_fake 0.002798
[1210/5000][280/535][124819] Loss_D: -0.019760 Loss_G: -0.001462 Loss_D_real: 0.000228 Loss_D_fake 0.019988
[1210/5000][285/535][124820] Loss_D: -0.020719 Loss_G: -0.016540 Loss_D_real: -0.008357 Loss_D_fake 0.012362
[1210/5000][290/535][124821] Loss_D: -0.019369 Loss_G: 0.000008 Loss_D_real: -0.010764 Loss_D_fake 0.008605
[1210/5000][295/535][124822] Loss_D: -0.020412 Loss_G: -0.009548 Loss_D_real: -0.005829 Loss_D_fake 0.014583
[1210/5000][300/535][124823] Loss_D: -0.021351 Loss_G: 0.014192 Loss_D_real: -0.012005 Loss_D_fake 0.009346
[1210/5000][305/535][124824] Loss_D: -0.019521 Loss_G: 0.018206 Loss_D_real: -0.022143 Loss_D_fake -0.002621
[1210/5000][310/535][124825] Loss_D: -0.020497 Loss_G: -0.001585 Loss_D_real: -0.009596 Loss_D_fake 0.010901
[1210/5000][315/535][124826] Loss_D: -0.020713 Loss_G: 0.025988 Loss_D_real: -0.016910 Loss_D_fake 0.003803
[1210/5000][320/535][124827] Loss_D: -0.020236 Loss_G: 0.008075 Loss_D_real: -0.015165 Loss_D_fake 0.005072
[1210/5000][325/535][124828] Loss_D: -0.020846 Loss_G: 0.018946 Loss_D_real: -0.026345 Loss_D_fake -0.005499
[1210/5000][330/535][124829] Loss_D: -0.019395 Loss_G: 0.013104 Loss_D_real: -0.027505 Loss_D_fake -0.008110
[1210/5000][335/535][124830] Loss_D: -0.018451 Loss_G: 0.018724 Loss_D_real: -0.031640 Loss_D_fake -0.013190
[1210/5000][340/535][124831] Loss_D: -0.020791 Loss_G: -0.001407 Loss_D_real: -0.010810 Loss_D_fake 0.009980
[1210/5000][345/535][124832] Loss_D: -0.019743 Loss_G: 0.008187 Loss_D_real: -0.024163 Loss_D_fake -0.004420
[1210/5000][350/535][124833] Loss_D: -0.020567 Loss_G: 0.000007 Loss_D_real: -0.010323 Loss_D_fake 0.010244
[1210/5000][355/535][124834] Loss_D: -0.020044 Loss_G: 0.001713 Loss_D_real: -0.014414 Loss_D_fake 0.005630
[1210/5000][360/535][124835] Loss_D: -0.019852 Loss_G: 0.006292 Loss_D_real: -0.015992 Loss_D_fake 0.003860
[1210/5000][365/535][124836] Loss_D: -0.017408 Loss_G: 0.010937 Loss_D_real: -0.028436 Loss_D_fake -0.011029
[1210/5000][370/535][124837] Loss_D: -0.019432 Loss_G: -0.001341 Loss_D_real: 0.000919 Loss_D_fake 0.020352
[1210/5000][375/535][124838] Loss_D: -0.020695 Loss_G: 0.014279 Loss_D_real: -0.017717 Loss_D_fake 0.002978
[1210/5000][380/535][124839] Loss_D: -0.019888 Loss_G: 0.014318 Loss_D_real: -0.023167 Loss_D_fake -0.003280
[1210/5000][385/535][124840] Loss_D: -0.020920 Loss_G: 0.011034 Loss_D_real: -0.033014 Loss_D_fake -0.012094
[1210/5000][390/535][124841] Loss_D: -0.021036 Loss_G: 0.011621 Loss_D_real: -0.020483 Loss_D_fake 0.000553
[1210/5000][395/535][124842] Loss_D: -0.019600 Loss_G: 0.009347 Loss_D_real: -0.016506 Loss_D_fake 0.003094
[1210/5000][400/535][124843] Loss_D: -0.019457 Loss_G: 0.000467 Loss_D_real: -0.019743 Loss_D_fake -0.000287
[1210/5000][405/535][124844] Loss_D: -0.018976 Loss_G: 0.007754 Loss_D_real: -0.021765 Loss_D_fake -0.002789
[1210/5000][410/535][124845] Loss_D: -0.020885 Loss_G: -0.010832 Loss_D_real: 0.002538 Loss_D_fake 0.023422
[1210/5000][415/535][124846] Loss_D: -0.020863 Loss_G: 0.007850 Loss_D_real: -0.019921 Loss_D_fake 0.000941
[1210/5000][420/535][124847] Loss_D: -0.021218 Loss_G: 0.013152 Loss_D_real: -0.011145 Loss_D_fake 0.010073
[1210/5000][425/535][124848] Loss_D: -0.020437 Loss_G: 0.014908 Loss_D_real: -0.014997 Loss_D_fake 0.005440
[1210/5000][430/535][124849] Loss_D: -0.021998 Loss_G: 0.018369 Loss_D_real: -0.032827 Loss_D_fake -0.010829
[1210/5000][435/535][124850] Loss_D: -0.018991 Loss_G: 0.013393 Loss_D_real: -0.026456 Loss_D_fake -0.007465
[1210/5000][440/535][124851] Loss_D: -0.019943 Loss_G: 0.016091 Loss_D_real: -0.019747 Loss_D_fake 0.000196
[1210/5000][445/535][124852] Loss_D: -0.022387 Loss_G: 0.004113 Loss_D_real: -0.027863 Loss_D_fake -0.005476
[1210/5000][450/535][124853] Loss_D: -0.020219 Loss_G: 0.002687 Loss_D_real: -0.022269 Loss_D_fake -0.002051
[1210/5000][455/535][124854] Loss_D: -0.018489 Loss_G: 0.016578 Loss_D_real: -0.037965 Loss_D_fake -0.019476
[1210/5000][460/535][124855] Loss_D: -0.021201 Loss_G: 0.005454 Loss_D_real: -0.034832 Loss_D_fake -0.013632
[1210/5000][465/535][124856] Loss_D: -0.020142 Loss_G: -0.015398 Loss_D_real: -0.004515 Loss_D_fake 0.015628
[1210/5000][470/535][124857] Loss_D: -0.018011 Loss_G: 0.034198 Loss_D_real: -0.040151 Loss_D_fake -0.022140
[1210/5000][475/535][124858] Loss_D: -0.020960 Loss_G: -0.007457 Loss_D_real: -0.006143 Loss_D_fake 0.014817
[1210/5000][480/535][124859] Loss_D: -0.018281 Loss_G: 0.028242 Loss_D_real: -0.037017 Loss_D_fake -0.018736
[1210/5000][485/535][124860] Loss_D: -0.019998 Loss_G: 0.002392 Loss_D_real: -0.023480 Loss_D_fake -0.003482
[1210/5000][490/535][124861] Loss_D: -0.021770 Loss_G: 0.008859 Loss_D_real: -0.017394 Loss_D_fake 0.004377
[1210/5000][495/535][124862] Loss_D: -0.020035 Loss_G: -0.001375 Loss_D_real: -0.010940 Loss_D_fake 0.009095
[1210/5000][500/535][124863] Loss_D: -0.019934 Loss_G: 0.011207 Loss_D_real: -0.014145 Loss_D_fake 0.005789
[1210/5000][505/535][124864] Loss_D: -0.020630 Loss_G: 0.003167 Loss_D_real: -0.018459 Loss_D_fake 0.002171
[1210/5000][510/535][124865] Loss_D: -0.020381 Loss_G: 0.006818 Loss_D_real: -0.022324 Loss_D_fake -0.001943
[1210/5000][515/535][124866] Loss_D: -0.019040 Loss_G: 0.014910 Loss_D_real: -0.026087 Loss_D_fake -0.007047
[1210/5000][520/535][124867] Loss_D: -0.020892 Loss_G: 0.000140 Loss_D_real: -0.010015 Loss_D_fake 0.010876
[1210/5000][525/535][124868] Loss_D: -0.020689 Loss_G: -0.003413 Loss_D_real: -0.014832 Loss_D_fake 0.005857
[1210/5000][530/535][124869] Loss_D: -0.022117 Loss_G: 0.016230 Loss_D_real: -0.019723 Loss_D_fake 0.002394
[1210/5000][535/535][124870] Loss_D: -0.018861 Loss_G: 0.009409 Loss_D_real: -0.016381 Loss_D_fake 0.002480
[1211/5000][5/535][124871] Loss_D: -0.020455 Loss_G: 0.027022 Loss_D_real: -0.031093 Loss_D_fake -0.010638
[1211/5000][10/535][124872] Loss_D: -0.019618 Loss_G: 0.013379 Loss_D_real: -0.009687 Loss_D_fake 0.009931
[1211/5000][15/535][124873] Loss_D: -0.020721 Loss_G: -0.003020 Loss_D_real: -0.017322 Loss_D_fake 0.003400
[1211/5000][20/535][124874] Loss_D: -0.018994 Loss_G: 0.010490 Loss_D_real: -0.017459 Loss_D_fake 0.001535
[1211/5000][25/535][124875] Loss_D: -0.021352 Loss_G: 0.000631 Loss_D_real: -0.026588 Loss_D_fake -0.005235
[1211/5000][30/535][124876] Loss_D: -0.019168 Loss_G: 0.033023 Loss_D_real: -0.028462 Loss_D_fake -0.009294
[1211/5000][35/535][124877] Loss_D: -0.019752 Loss_G: 0.001019 Loss_D_real: -0.012021 Loss_D_fake 0.007731
[1211/5000][40/535][124878] Loss_D: -0.020737 Loss_G: 0.020499 Loss_D_real: -0.013941 Loss_D_fake 0.006796
[1211/5000][45/535][124879] Loss_D: -0.019769 Loss_G: 0.008670 Loss_D_real: -0.026119 Loss_D_fake -0.006350
[1211/5000][50/535][124880] Loss_D: -0.018154 Loss_G: 0.021645 Loss_D_real: -0.028357 Loss_D_fake -0.010203
[1211/5000][55/535][124881] Loss_D: -0.020123 Loss_G: -0.004808 Loss_D_real: -0.007028 Loss_D_fake 0.013095
[1211/5000][60/535][124882] Loss_D: -0.020390 Loss_G: 0.004404 Loss_D_real: -0.021759 Loss_D_fake -0.001369
[1211/5000][65/535][124883] Loss_D: -0.019969 Loss_G: 0.022191 Loss_D_real: -0.028276 Loss_D_fake -0.008307
[1211/5000][70/535][124884] Loss_D: -0.019775 Loss_G: 0.012792 Loss_D_real: -0.027658 Loss_D_fake -0.007883
[1211/5000][75/535][124885] Loss_D: -0.021098 Loss_G: -0.015955 Loss_D_real: -0.012593 Loss_D_fake 0.008506
[1211/5000][80/535][124886] Loss_D: -0.021879 Loss_G: -0.005019 Loss_D_real: -0.002546 Loss_D_fake 0.019333
[1211/5000][85/535][124887] Loss_D: -0.019467 Loss_G: 0.006252 Loss_D_real: -0.025245 Loss_D_fake -0.005778
[1211/5000][90/535][124888] Loss_D: -0.020323 Loss_G: 0.021534 Loss_D_real: -0.025995 Loss_D_fake -0.005672
[1211/5000][95/535][124889] Loss_D: -0.020938 Loss_G: -0.002065 Loss_D_real: 0.000937 Loss_D_fake 0.021874
[1211/5000][100/535][124890] Loss_D: -0.021786 Loss_G: 0.008068 Loss_D_real: -0.007295 Loss_D_fake 0.014491
[1211/5000][105/535][124891] Loss_D: -0.019518 Loss_G: 0.007325 Loss_D_real: -0.023115 Loss_D_fake -0.003598
[1211/5000][110/535][124892] Loss_D: -0.021819 Loss_G: 0.016817 Loss_D_real: -0.012843 Loss_D_fake 0.008976
[1211/5000][115/535][124893] Loss_D: -0.019728 Loss_G: 0.009288 Loss_D_real: -0.019410 Loss_D_fake 0.000318
[1211/5000][120/535][124894] Loss_D: -0.020830 Loss_G: -0.004171 Loss_D_real: -0.019168 Loss_D_fake 0.001662
[1211/5000][125/535][124895] Loss_D: -0.020658 Loss_G: -0.000410 Loss_D_real: -0.008100 Loss_D_fake 0.012557
[1211/5000][130/535][124896] Loss_D: -0.020349 Loss_G: 0.013742 Loss_D_real: -0.020150 Loss_D_fake 0.000199
[1211/5000][135/535][124897] Loss_D: -0.020248 Loss_G: 0.007800 Loss_D_real: -0.020221 Loss_D_fake 0.000027
[1211/5000][140/535][124898] Loss_D: -0.019908 Loss_G: 0.012917 Loss_D_real: -0.018197 Loss_D_fake 0.001711
[1211/5000][145/535][124899] Loss_D: -0.020806 Loss_G: 0.011130 Loss_D_real: -0.026513 Loss_D_fake -0.005707
[1211/5000][150/535][124900] Loss_D: -0.022272 Loss_G: 0.003682 Loss_D_real: -0.026945 Loss_D_fake -0.004674
[1211/5000][155/535][124901] Loss_D: -0.022531 Loss_G: 0.012524 Loss_D_real: -0.015075 Loss_D_fake 0.007456
[1211/5000][160/535][124902] Loss_D: -0.021378 Loss_G: -0.002762 Loss_D_real: -0.013735 Loss_D_fake 0.007642
[1211/5000][165/535][124903] Loss_D: -0.019877 Loss_G: -0.005891 Loss_D_real: -0.017874 Loss_D_fake 0.002003
[1211/5000][170/535][124904] Loss_D: -0.021323 Loss_G: 0.011378 Loss_D_real: -0.023507 Loss_D_fake -0.002184
[1211/5000][175/535][124905] Loss_D: -0.019053 Loss_G: 0.001301 Loss_D_real: -0.024224 Loss_D_fake -0.005171
[1211/5000][180/535][124906] Loss_D: -0.019877 Loss_G: -0.011766 Loss_D_real: 0.003055 Loss_D_fake 0.022932
[1211/5000][185/535][124907] Loss_D: -0.020185 Loss_G: 0.018329 Loss_D_real: -0.029331 Loss_D_fake -0.009146
[1211/5000][190/535][124908] Loss_D: -0.019530 Loss_G: 0.002171 Loss_D_real: -0.009826 Loss_D_fake 0.009704
[1211/5000][195/535][124909] Loss_D: -0.020181 Loss_G: 0.010028 Loss_D_real: -0.028161 Loss_D_fake -0.007979
[1211/5000][200/535][124910] Loss_D: -0.019945 Loss_G: -0.003131 Loss_D_real: -0.004306 Loss_D_fake 0.015639
[1211/5000][205/535][124911] Loss_D: -0.019434 Loss_G: 0.016083 Loss_D_real: -0.026775 Loss_D_fake -0.007341
[1211/5000][210/535][124912] Loss_D: -0.020862 Loss_G: 0.009288 Loss_D_real: -0.012393 Loss_D_fake 0.008468
[1211/5000][215/535][124913] Loss_D: -0.019281 Loss_G: 0.000615 Loss_D_real: -0.017074 Loss_D_fake 0.002206
[1211/5000][220/535][124914] Loss_D: -0.018782 Loss_G: 0.008658 Loss_D_real: -0.013617 Loss_D_fake 0.005165
[1211/5000][225/535][124915] Loss_D: -0.020249 Loss_G: -0.005209 Loss_D_real: -0.007288 Loss_D_fake 0.012961
[1211/5000][230/535][124916] Loss_D: -0.020524 Loss_G: -0.002356 Loss_D_real: -0.003949 Loss_D_fake 0.016575
[1211/5000][235/535][124917] Loss_D: -0.017658 Loss_G: 0.009095 Loss_D_real: -0.018423 Loss_D_fake -0.000765
[1211/5000][240/535][124918] Loss_D: -0.020950 Loss_G: -0.000927 Loss_D_real: 0.002781 Loss_D_fake 0.023731
[1211/5000][245/535][124919] Loss_D: -0.020933 Loss_G: 0.010570 Loss_D_real: -0.020539 Loss_D_fake 0.000394
[1211/5000][250/535][124920] Loss_D: -0.019633 Loss_G: -0.006629 Loss_D_real: -0.001527 Loss_D_fake 0.018106
[1211/5000][255/535][124921] Loss_D: -0.021400 Loss_G: 0.008260 Loss_D_real: -0.014755 Loss_D_fake 0.006645
[1211/5000][260/535][124922] Loss_D: -0.017877 Loss_G: 0.000106 Loss_D_real: -0.004529 Loss_D_fake 0.013348
[1211/5000][265/535][124923] Loss_D: -0.020452 Loss_G: -0.003969 Loss_D_real: -0.012251 Loss_D_fake 0.008202
[1211/5000][270/535][124924] Loss_D: -0.018243 Loss_G: -0.019624 Loss_D_real: -0.001251 Loss_D_fake 0.016992
[1211/5000][275/535][124925] Loss_D: -0.020765 Loss_G: 0.005027 Loss_D_real: -0.013688 Loss_D_fake 0.007077
[1211/5000][280/535][124926] Loss_D: -0.019023 Loss_G: 0.033397 Loss_D_real: -0.029527 Loss_D_fake -0.010503
[1211/5000][285/535][124927] Loss_D: -0.020497 Loss_G: -0.007157 Loss_D_real: -0.001904 Loss_D_fake 0.018593
[1211/5000][290/535][124928] Loss_D: -0.020818 Loss_G: -0.007388 Loss_D_real: -0.016396 Loss_D_fake 0.004422
[1211/5000][295/535][124929] Loss_D: -0.021806 Loss_G: 0.008741 Loss_D_real: -0.010878 Loss_D_fake 0.010928
[1211/5000][300/535][124930] Loss_D: -0.020489 Loss_G: 0.018303 Loss_D_real: -0.026721 Loss_D_fake -0.006233
[1211/5000][305/535][124931] Loss_D: -0.019872 Loss_G: 0.015501 Loss_D_real: -0.025687 Loss_D_fake -0.005815
[1211/5000][310/535][124932] Loss_D: -0.020238 Loss_G: 0.006813 Loss_D_real: -0.019658 Loss_D_fake 0.000580
[1211/5000][315/535][124933] Loss_D: -0.018812 Loss_G: 0.021747 Loss_D_real: -0.023555 Loss_D_fake -0.004743
[1211/5000][320/535][124934] Loss_D: -0.021032 Loss_G: 0.025118 Loss_D_real: -0.031685 Loss_D_fake -0.010653
[1211/5000][325/535][124935] Loss_D: -0.020533 Loss_G: 0.005635 Loss_D_real: -0.025202 Loss_D_fake -0.004669
[1211/5000][330/535][124936] Loss_D: -0.020802 Loss_G: -0.005199 Loss_D_real: -0.004779 Loss_D_fake 0.016023
[1211/5000][335/535][124937] Loss_D: -0.019859 Loss_G: -0.009487 Loss_D_real: -0.000658 Loss_D_fake 0.019201
[1211/5000][340/535][124938] Loss_D: -0.020478 Loss_G: -0.004665 Loss_D_real: -0.012577 Loss_D_fake 0.007900
[1211/5000][345/535][124939] Loss_D: -0.020615 Loss_G: 0.023646 Loss_D_real: -0.023318 Loss_D_fake -0.002703
[1211/5000][350/535][124940] Loss_D: -0.019819 Loss_G: 0.017957 Loss_D_real: -0.033768 Loss_D_fake -0.013949
[1211/5000][355/535][124941] Loss_D: -0.020804 Loss_G: 0.010603 Loss_D_real: -0.009282 Loss_D_fake 0.011522
[1211/5000][360/535][124942] Loss_D: -0.020760 Loss_G: -0.009336 Loss_D_real: -0.017522 Loss_D_fake 0.003238
[1211/5000][365/535][124943] Loss_D: -0.020183 Loss_G: 0.000915 Loss_D_real: -0.017044 Loss_D_fake 0.003139
[1211/5000][370/535][124944] Loss_D: -0.020198 Loss_G: -0.003060 Loss_D_real: -0.013595 Loss_D_fake 0.006603
[1211/5000][375/535][124945] Loss_D: -0.019851 Loss_G: 0.008398 Loss_D_real: -0.011295 Loss_D_fake 0.008556
[1211/5000][380/535][124946] Loss_D: -0.020006 Loss_G: 0.015199 Loss_D_real: -0.016859 Loss_D_fake 0.003147
[1211/5000][385/535][124947] Loss_D: -0.020289 Loss_G: 0.016670 Loss_D_real: -0.017898 Loss_D_fake 0.002391
[1211/5000][390/535][124948] Loss_D: -0.019758 Loss_G: 0.025210 Loss_D_real: -0.032097 Loss_D_fake -0.012338
[1211/5000][395/535][124949] Loss_D: -0.020985 Loss_G: 0.005174 Loss_D_real: -0.016787 Loss_D_fake 0.004198
[1211/5000][400/535][124950] Loss_D: -0.019936 Loss_G: 0.003740 Loss_D_real: -0.009101 Loss_D_fake 0.010835
[1211/5000][405/535][124951] Loss_D: -0.019795 Loss_G: -0.002578 Loss_D_real: -0.024594 Loss_D_fake -0.004799
[1211/5000][410/535][124952] Loss_D: -0.020592 Loss_G: 0.007741 Loss_D_real: -0.020783 Loss_D_fake -0.000191
[1211/5000][415/535][124953] Loss_D: -0.018452 Loss_G: 0.025090 Loss_D_real: -0.039609 Loss_D_fake -0.021156
[1211/5000][420/535][124954] Loss_D: -0.019968 Loss_G: 0.009003 Loss_D_real: -0.025844 Loss_D_fake -0.005876
[1211/5000][425/535][124955] Loss_D: -0.019518 Loss_G: 0.022991 Loss_D_real: -0.029584 Loss_D_fake -0.010066
[1211/5000][430/535][124956] Loss_D: -0.019225 Loss_G: -0.001019 Loss_D_real: 0.002430 Loss_D_fake 0.021655
[1211/5000][435/535][124957] Loss_D: -0.020311 Loss_G: 0.008857 Loss_D_real: -0.011783 Loss_D_fake 0.008529
[1211/5000][440/535][124958] Loss_D: -0.020068 Loss_G: 0.013671 Loss_D_real: -0.018910 Loss_D_fake 0.001158
[1211/5000][445/535][124959] Loss_D: -0.019951 Loss_G: 0.011453 Loss_D_real: -0.022927 Loss_D_fake -0.002977
[1211/5000][450/535][124960] Loss_D: -0.020422 Loss_G: -0.012035 Loss_D_real: -0.005321 Loss_D_fake 0.015101
[1211/5000][455/535][124961] Loss_D: -0.019859 Loss_G: -0.004115 Loss_D_real: -0.016558 Loss_D_fake 0.003301
[1211/5000][460/535][124962] Loss_D: -0.018509 Loss_G: 0.013016 Loss_D_real: -0.029017 Loss_D_fake -0.010508
[1211/5000][465/535][124963] Loss_D: -0.019387 Loss_G: -0.001827 Loss_D_real: -0.010430 Loss_D_fake 0.008957
[1211/5000][470/535][124964] Loss_D: -0.019880 Loss_G: -0.000233 Loss_D_real: -0.020674 Loss_D_fake -0.000795
[1211/5000][475/535][124965] Loss_D: -0.019954 Loss_G: 0.012196 Loss_D_real: -0.022296 Loss_D_fake -0.002341
[1211/5000][480/535][124966] Loss_D: -0.020972 Loss_G: 0.003436 Loss_D_real: -0.013008 Loss_D_fake 0.007963
[1211/5000][485/535][124967] Loss_D: -0.020345 Loss_G: 0.015823 Loss_D_real: -0.027727 Loss_D_fake -0.007382
[1211/5000][490/535][124968] Loss_D: -0.021205 Loss_G: 0.022318 Loss_D_real: -0.029453 Loss_D_fake -0.008248
[1211/5000][495/535][124969] Loss_D: -0.019403 Loss_G: 0.017015 Loss_D_real: -0.020769 Loss_D_fake -0.001365
[1211/5000][500/535][124970] Loss_D: -0.020830 Loss_G: -0.010329 Loss_D_real: 0.004193 Loss_D_fake 0.025022
[1211/5000][505/535][124971] Loss_D: -0.021820 Loss_G: 0.016041 Loss_D_real: -0.021005 Loss_D_fake 0.000815
[1211/5000][510/535][124972] Loss_D: -0.019874 Loss_G: 0.016553 Loss_D_real: -0.019978 Loss_D_fake -0.000104
[1211/5000][515/535][124973] Loss_D: -0.019417 Loss_G: -0.006391 Loss_D_real: -0.007161 Loss_D_fake 0.012256
[1211/5000][520/535][124974] Loss_D: -0.019661 Loss_G: 0.020190 Loss_D_real: -0.026581 Loss_D_fake -0.006920
[1211/5000][525/535][124975] Loss_D: -0.019656 Loss_G: 0.007474 Loss_D_real: -0.026484 Loss_D_fake -0.006828
[1211/5000][530/535][124976] Loss_D: -0.018751 Loss_G: 0.012730 Loss_D_real: -0.042558 Loss_D_fake -0.023807
[1211/5000][535/535][124977] Loss_D: -0.019065 Loss_G: -0.011712 Loss_D_real: -0.023135 Loss_D_fake -0.004070
[1212/5000][5/535][124978] Loss_D: -0.019796 Loss_G: -0.001551 Loss_D_real: -0.016203 Loss_D_fake 0.003593
[1212/5000][10/535][124979] Loss_D: -0.019966 Loss_G: 0.011020 Loss_D_real: -0.009607 Loss_D_fake 0.010359
[1212/5000][15/535][124980] Loss_D: -0.021021 Loss_G: 0.015027 Loss_D_real: -0.020313 Loss_D_fake 0.000709
[1212/5000][20/535][124981] Loss_D: -0.021081 Loss_G: -0.002026 Loss_D_real: -0.012708 Loss_D_fake 0.008373
[1212/5000][25/535][124982] Loss_D: -0.019743 Loss_G: 0.014713 Loss_D_real: -0.025349 Loss_D_fake -0.005605
[1212/5000][30/535][124983] Loss_D: -0.020747 Loss_G: -0.002987 Loss_D_real: -0.016094 Loss_D_fake 0.004653
[1212/5000][35/535][124984] Loss_D: -0.019960 Loss_G: 0.018552 Loss_D_real: -0.028992 Loss_D_fake -0.009032
[1212/5000][40/535][124985] Loss_D: -0.021835 Loss_G: -0.000256 Loss_D_real: -0.013542 Loss_D_fake 0.008293
[1212/5000][45/535][124986] Loss_D: -0.019574 Loss_G: -0.001450 Loss_D_real: -0.004016 Loss_D_fake 0.015559
[1212/5000][50/535][124987] Loss_D: -0.020145 Loss_G: 0.008081 Loss_D_real: -0.023670 Loss_D_fake -0.003525
[1212/5000][55/535][124988] Loss_D: -0.020991 Loss_G: 0.012701 Loss_D_real: -0.020561 Loss_D_fake 0.000430
[1212/5000][60/535][124989] Loss_D: -0.020869 Loss_G: 0.015989 Loss_D_real: -0.022681 Loss_D_fake -0.001812
[1212/5000][65/535][124990] Loss_D: -0.018869 Loss_G: 0.022815 Loss_D_real: -0.034995 Loss_D_fake -0.016126
[1212/5000][70/535][124991] Loss_D: -0.020681 Loss_G: 0.004496 Loss_D_real: -0.008067 Loss_D_fake 0.012614
[1212/5000][75/535][124992] Loss_D: -0.020876 Loss_G: 0.010745 Loss_D_real: -0.016133 Loss_D_fake 0.004744
[1212/5000][80/535][124993] Loss_D: -0.019862 Loss_G: 0.012728 Loss_D_real: -0.022709 Loss_D_fake -0.002847
[1212/5000][85/535][124994] Loss_D: -0.021492 Loss_G: 0.008494 Loss_D_real: -0.021727 Loss_D_fake -0.000235
[1212/5000][90/535][124995] Loss_D: -0.020954 Loss_G: -0.005776 Loss_D_real: -0.015938 Loss_D_fake 0.005016
[1212/5000][95/535][124996] Loss_D: -0.019691 Loss_G: -0.002547 Loss_D_real: -0.015515 Loss_D_fake 0.004176
[1212/5000][100/535][124997] Loss_D: -0.019649 Loss_G: -0.011465 Loss_D_real: -0.005490 Loss_D_fake 0.014159
[1212/5000][105/535][124998] Loss_D: -0.019357 Loss_G: 0.017914 Loss_D_real: -0.023269 Loss_D_fake -0.003912
[1212/5000][110/535][124999] Loss_D: -0.020216 Loss_G: 0.001391 Loss_D_real: -0.018563 Loss_D_fake 0.001654
[1212/5000][115/535][125000] Loss_D: -0.020768 Loss_G: -0.005346 Loss_D_real: -0.020111 Loss_D_fake 0.000657
[1212/5000][215/535][125001] Loss_D: -0.025000 Loss_G: -0.001770 Loss_D_real: -0.004180 Loss_D_fake 0.020821
[1212/5000][220/535][125002] Loss_D: -0.021620 Loss_G: 0.018699 Loss_D_real: -0.019017 Loss_D_fake 0.002603
[1212/5000][225/535][125003] Loss_D: -0.022686 Loss_G: 0.011298 Loss_D_real: -0.014920 Loss_D_fake 0.007765
[1212/5000][230/535][125004] Loss_D: -0.019092 Loss_G: 0.007769 Loss_D_real: -0.005991 Loss_D_fake 0.013101
[1212/5000][235/535][125005] Loss_D: -0.016787 Loss_G: 0.021315 Loss_D_real: -0.027101 Loss_D_fake -0.010314
[1212/5000][240/535][125006] Loss_D: -0.020246 Loss_G: 0.008166 Loss_D_real: -0.022241 Loss_D_fake -0.001996
[1212/5000][245/535][125007] Loss_D: -0.018234 Loss_G: 0.012880 Loss_D_real: -0.019281 Loss_D_fake -0.001046
[1212/5000][250/535][125008] Loss_D: -0.018233 Loss_G: 0.019697 Loss_D_real: -0.035095 Loss_D_fake -0.016862
[1212/5000][255/535][125009] Loss_D: -0.018868 Loss_G: 0.004207 Loss_D_real: -0.010916 Loss_D_fake 0.007952
[1212/5000][260/535][125010] Loss_D: -0.019774 Loss_G: 0.003701 Loss_D_real: -0.012692 Loss_D_fake 0.007082
[1212/5000][265/535][125011] Loss_D: -0.019686 Loss_G: 0.023006 Loss_D_real: -0.005761 Loss_D_fake 0.013925
[1212/5000][270/535][125012] Loss_D: -0.019388 Loss_G: 0.010885 Loss_D_real: -0.023457 Loss_D_fake -0.004070
[1212/5000][275/535][125013] Loss_D: -0.019282 Loss_G: -0.000584 Loss_D_real: -0.021907 Loss_D_fake -0.002625
[1212/5000][280/535][125014] Loss_D: -0.019249 Loss_G: 0.001287 Loss_D_real: -0.023057 Loss_D_fake -0.003807
[1212/5000][285/535][125015] Loss_D: -0.020264 Loss_G: 0.009920 Loss_D_real: -0.009511 Loss_D_fake 0.010753
[1212/5000][290/535][125016] Loss_D: -0.020490 Loss_G: 0.006683 Loss_D_real: -0.012571 Loss_D_fake 0.007919
[1212/5000][295/535][125017] Loss_D: -0.022253 Loss_G: 0.009573 Loss_D_real: -0.016469 Loss_D_fake 0.005784
[1212/5000][300/535][125018] Loss_D: -0.019732 Loss_G: 0.000573 Loss_D_real: -0.008444 Loss_D_fake 0.011288
[1212/5000][305/535][125019] Loss_D: -0.018764 Loss_G: 0.013058 Loss_D_real: -0.031298 Loss_D_fake -0.012533
[1212/5000][310/535][125020] Loss_D: -0.019971 Loss_G: 0.004270 Loss_D_real: -0.016500 Loss_D_fake 0.003471
[1212/5000][315/535][125021] Loss_D: -0.018044 Loss_G: -0.015273 Loss_D_real: -0.006159 Loss_D_fake 0.011884
[1212/5000][320/535][125022] Loss_D: -0.019529 Loss_G: 0.004062 Loss_D_real: -0.011161 Loss_D_fake 0.008368
[1212/5000][325/535][125023] Loss_D: -0.017529 Loss_G: 0.021566 Loss_D_real: -0.030513 Loss_D_fake -0.012984
[1212/5000][330/535][125024] Loss_D: -0.014873 Loss_G: -0.026562 Loss_D_real: 0.013632 Loss_D_fake 0.028505
[1212/5000][335/535][125025] Loss_D: -0.019283 Loss_G: 0.003251 Loss_D_real: -0.016675 Loss_D_fake 0.002607
[1212/5000][340/535][125026] Loss_D: -0.019931 Loss_G: 0.014365 Loss_D_real: -0.019732 Loss_D_fake 0.000199
[1212/5000][345/535][125027] Loss_D: -0.019339 Loss_G: 0.005784 Loss_D_real: -0.014473 Loss_D_fake 0.004866
[1212/5000][350/535][125028] Loss_D: -0.019148 Loss_G: -0.006300 Loss_D_real: -0.011464 Loss_D_fake 0.007683
[1212/5000][355/535][125029] Loss_D: -0.020898 Loss_G: 0.001485 Loss_D_real: -0.009466 Loss_D_fake 0.011431
[1212/5000][360/535][125030] Loss_D: -0.019685 Loss_G: -0.005166 Loss_D_real: -0.008380 Loss_D_fake 0.011306
[1212/5000][365/535][125031] Loss_D: -0.021119 Loss_G: -0.000382 Loss_D_real: -0.010820 Loss_D_fake 0.010299
[1212/5000][370/535][125032] Loss_D: -0.018222 Loss_G: 0.026829 Loss_D_real: -0.035007 Loss_D_fake -0.016785
[1212/5000][375/535][125033] Loss_D: -0.018337 Loss_G: 0.025232 Loss_D_real: -0.023130 Loss_D_fake -0.004793
[1212/5000][380/535][125034] Loss_D: -0.020138 Loss_G: -0.009448 Loss_D_real: -0.011912 Loss_D_fake 0.008226
[1212/5000][385/535][125035] Loss_D: -0.019737 Loss_G: 0.002423 Loss_D_real: -0.020552 Loss_D_fake -0.000815
[1212/5000][390/535][125036] Loss_D: -0.019005 Loss_G: 0.016670 Loss_D_real: -0.001162 Loss_D_fake 0.017843
[1212/5000][395/535][125037] Loss_D: -0.019610 Loss_G: 0.010877 Loss_D_real: -0.018179 Loss_D_fake 0.001431
[1212/5000][400/535][125038] Loss_D: -0.020641 Loss_G: 0.009878 Loss_D_real: -0.015762 Loss_D_fake 0.004880
[1212/5000][405/535][125039] Loss_D: -0.020638 Loss_G: 0.012762 Loss_D_real: -0.016910 Loss_D_fake 0.003727
[1212/5000][410/535][125040] Loss_D: -0.021070 Loss_G: -0.005928 Loss_D_real: -0.011498 Loss_D_fake 0.009572
[1212/5000][415/535][125041] Loss_D: -0.020631 Loss_G: 0.002178 Loss_D_real: -0.017775 Loss_D_fake 0.002856
[1212/5000][420/535][125042] Loss_D: -0.019774 Loss_G: 0.024378 Loss_D_real: -0.017313 Loss_D_fake 0.002461
[1212/5000][425/535][125043] Loss_D: -0.019371 Loss_G: -0.021087 Loss_D_real: 0.001064 Loss_D_fake 0.020435
[1212/5000][430/535][125044] Loss_D: -0.021465 Loss_G: 0.018572 Loss_D_real: -0.012544 Loss_D_fake 0.008921
[1212/5000][435/535][125045] Loss_D: -0.019302 Loss_G: 0.001322 Loss_D_real: -0.015429 Loss_D_fake 0.003873
[1212/5000][440/535][125046] Loss_D: -0.019393 Loss_G: 0.018384 Loss_D_real: -0.021115 Loss_D_fake -0.001721
[1212/5000][445/535][125047] Loss_D: -0.018953 Loss_G: 0.011314 Loss_D_real: -0.008331 Loss_D_fake 0.010622
[1212/5000][450/535][125048] Loss_D: -0.020656 Loss_G: 0.013064 Loss_D_real: -0.017917 Loss_D_fake 0.002739
[1212/5000][455/535][125049] Loss_D: -0.018058 Loss_G: 0.028920 Loss_D_real: -0.033578 Loss_D_fake -0.015520
[1212/5000][460/535][125050] Loss_D: -0.019501 Loss_G: 0.012919 Loss_D_real: -0.027782 Loss_D_fake -0.008281
[1212/5000][465/535][125051] Loss_D: -0.019435 Loss_G: 0.010714 Loss_D_real: -0.032355 Loss_D_fake -0.012920
[1212/5000][470/535][125052] Loss_D: -0.019852 Loss_G: 0.012142 Loss_D_real: -0.024179 Loss_D_fake -0.004328
[1212/5000][475/535][125053] Loss_D: -0.018807 Loss_G: -0.006849 Loss_D_real: -0.003341 Loss_D_fake 0.015466
[1212/5000][480/535][125054] Loss_D: -0.018331 Loss_G: 0.027617 Loss_D_real: -0.038654 Loss_D_fake -0.020323
[1212/5000][485/535][125055] Loss_D: -0.021327 Loss_G: -0.008226 Loss_D_real: -0.011338 Loss_D_fake 0.009989
[1212/5000][490/535][125056] Loss_D: -0.020814 Loss_G: 0.007915 Loss_D_real: -0.022530 Loss_D_fake -0.001716
[1212/5000][495/535][125057] Loss_D: -0.018113 Loss_G: 0.013179 Loss_D_real: -0.034620 Loss_D_fake -0.016508
[1212/5000][500/535][125058] Loss_D: -0.020423 Loss_G: 0.029720 Loss_D_real: -0.031877 Loss_D_fake -0.011454
[1212/5000][505/535][125059] Loss_D: -0.019352 Loss_G: 0.010089 Loss_D_real: -0.013028 Loss_D_fake 0.006324
[1212/5000][510/535][125060] Loss_D: -0.020346 Loss_G: 0.003907 Loss_D_real: -0.015600 Loss_D_fake 0.004746
[1212/5000][515/535][125061] Loss_D: -0.018951 Loss_G: 0.021182 Loss_D_real: -0.028324 Loss_D_fake -0.009374
[1212/5000][520/535][125062] Loss_D: -0.020515 Loss_G: 0.002331 Loss_D_real: -0.018997 Loss_D_fake 0.001518
[1212/5000][525/535][125063] Loss_D: -0.020708 Loss_G: -0.007740 Loss_D_real: -0.005407 Loss_D_fake 0.015301
[1212/5000][530/535][125064] Loss_D: -0.019097 Loss_G: 0.007173 Loss_D_real: -0.013824 Loss_D_fake 0.005273
[1212/5000][535/535][125065] Loss_D: -0.021729 Loss_G: 0.019482 Loss_D_real: -0.010974 Loss_D_fake 0.010754
[1213/5000][5/535][125066] Loss_D: -0.019422 Loss_G: 0.017872 Loss_D_real: -0.026784 Loss_D_fake -0.007362
[1213/5000][10/535][125067] Loss_D: -0.020464 Loss_G: -0.014478 Loss_D_real: 0.001888 Loss_D_fake 0.022353
[1213/5000][15/535][125068] Loss_D: -0.020681 Loss_G: 0.007836 Loss_D_real: -0.025042 Loss_D_fake -0.004361
[1213/5000][20/535][125069] Loss_D: -0.020088 Loss_G: -0.006597 Loss_D_real: -0.004452 Loss_D_fake 0.015636
[1213/5000][25/535][125070] Loss_D: -0.019898 Loss_G: -0.006816 Loss_D_real: -0.006977 Loss_D_fake 0.012921
[1213/5000][30/535][125071] Loss_D: -0.018954 Loss_G: 0.001349 Loss_D_real: -0.009216 Loss_D_fake 0.009738
[1213/5000][35/535][125072] Loss_D: -0.020095 Loss_G: 0.020408 Loss_D_real: -0.023272 Loss_D_fake -0.003178
[1213/5000][40/535][125073] Loss_D: -0.021228 Loss_G: 0.014817 Loss_D_real: -0.013421 Loss_D_fake 0.007806
[1213/5000][45/535][125074] Loss_D: -0.019694 Loss_G: 0.017168 Loss_D_real: -0.017598 Loss_D_fake 0.002096
[1213/5000][50/535][125075] Loss_D: -0.019559 Loss_G: -0.001743 Loss_D_real: -0.019127 Loss_D_fake 0.000433
[1213/5000][55/535][125076] Loss_D: -0.021517 Loss_G: 0.014152 Loss_D_real: -0.017568 Loss_D_fake 0.003949
[1213/5000][60/535][125077] Loss_D: -0.020359 Loss_G: 0.011202 Loss_D_real: -0.015086 Loss_D_fake 0.005273
[1213/5000][65/535][125078] Loss_D: -0.020223 Loss_G: 0.012839 Loss_D_real: -0.030032 Loss_D_fake -0.009809
[1213/5000][70/535][125079] Loss_D: -0.020979 Loss_G: 0.007273 Loss_D_real: -0.016475 Loss_D_fake 0.004504
[1213/5000][75/535][125080] Loss_D: -0.019936 Loss_G: -0.019715 Loss_D_real: -0.000779 Loss_D_fake 0.019157
[1213/5000][80/535][125081] Loss_D: -0.019957 Loss_G: 0.000173 Loss_D_real: -0.013483 Loss_D_fake 0.006475
[1213/5000][85/535][125082] Loss_D: -0.019581 Loss_G: 0.038471 Loss_D_real: -0.037467 Loss_D_fake -0.017886
[1213/5000][90/535][125083] Loss_D: -0.018503 Loss_G: 0.010731 Loss_D_real: -0.019119 Loss_D_fake -0.000616
[1213/5000][95/535][125084] Loss_D: -0.021442 Loss_G: -0.000071 Loss_D_real: -0.013467 Loss_D_fake 0.007975
[1213/5000][100/535][125085] Loss_D: -0.020813 Loss_G: 0.028597 Loss_D_real: -0.026135 Loss_D_fake -0.005322
[1213/5000][105/535][125086] Loss_D: -0.020208 Loss_G: 0.017207 Loss_D_real: -0.021121 Loss_D_fake -0.000912
[1213/5000][110/535][125087] Loss_D: -0.020143 Loss_G: -0.009289 Loss_D_real: -0.009712 Loss_D_fake 0.010431
[1213/5000][115/535][125088] Loss_D: -0.021812 Loss_G: 0.007491 Loss_D_real: -0.009615 Loss_D_fake 0.012197
[1213/5000][120/535][125089] Loss_D: -0.019394 Loss_G: 0.009823 Loss_D_real: -0.021321 Loss_D_fake -0.001926
[1213/5000][125/535][125090] Loss_D: -0.020288 Loss_G: 0.023322 Loss_D_real: -0.018204 Loss_D_fake 0.002084
[1213/5000][130/535][125091] Loss_D: -0.020693 Loss_G: 0.008951 Loss_D_real: -0.025839 Loss_D_fake -0.005147
[1213/5000][135/535][125092] Loss_D: -0.020317 Loss_G: 0.005051 Loss_D_real: -0.014817 Loss_D_fake 0.005501
[1213/5000][140/535][125093] Loss_D: -0.020798 Loss_G: 0.000321 Loss_D_real: -0.027396 Loss_D_fake -0.006598
[1213/5000][145/535][125094] Loss_D: -0.020054 Loss_G: 0.007750 Loss_D_real: -0.002455 Loss_D_fake 0.017599
[1213/5000][150/535][125095] Loss_D: -0.020215 Loss_G: 0.016338 Loss_D_real: -0.033252 Loss_D_fake -0.013036
[1213/5000][155/535][125096] Loss_D: -0.020466 Loss_G: -0.004794 Loss_D_real: -0.011360 Loss_D_fake 0.009107
[1213/5000][160/535][125097] Loss_D: -0.019251 Loss_G: -0.004605 Loss_D_real: -0.007535 Loss_D_fake 0.011716
[1213/5000][165/535][125098] Loss_D: -0.019179 Loss_G: 0.002107 Loss_D_real: -0.006243 Loss_D_fake 0.012936
[1213/5000][170/535][125099] Loss_D: -0.019619 Loss_G: 0.007386 Loss_D_real: -0.009198 Loss_D_fake 0.010421
[1213/5000][175/535][125100] Loss_D: -0.020356 Loss_G: -0.001923 Loss_D_real: -0.010073 Loss_D_fake 0.010283
[1213/5000][180/535][125101] Loss_D: -0.020217 Loss_G: 0.002418 Loss_D_real: -0.013334 Loss_D_fake 0.006883
[1213/5000][185/535][125102] Loss_D: -0.020922 Loss_G: 0.014370 Loss_D_real: -0.008878 Loss_D_fake 0.012044
[1213/5000][190/535][125103] Loss_D: -0.018929 Loss_G: 0.001557 Loss_D_real: -0.021050 Loss_D_fake -0.002122
[1213/5000][195/535][125104] Loss_D: -0.019810 Loss_G: 0.009811 Loss_D_real: -0.009240 Loss_D_fake 0.010570
[1213/5000][200/535][125105] Loss_D: -0.017012 Loss_G: 0.031737 Loss_D_real: -0.031599 Loss_D_fake -0.014587
[1213/5000][205/535][125106] Loss_D: -0.019755 Loss_G: 0.004903 Loss_D_real: -0.005530 Loss_D_fake 0.014225
[1213/5000][210/535][125107] Loss_D: -0.019907 Loss_G: 0.010267 Loss_D_real: -0.019989 Loss_D_fake -0.000082
[1213/5000][215/535][125108] Loss_D: -0.019988 Loss_G: -0.004319 Loss_D_real: -0.014216 Loss_D_fake 0.005773
[1213/5000][220/535][125109] Loss_D: -0.019839 Loss_G: 0.001892 Loss_D_real: -0.016847 Loss_D_fake 0.002992
[1213/5000][225/535][125110] Loss_D: -0.018968 Loss_G: 0.015014 Loss_D_real: -0.025388 Loss_D_fake -0.006421
[1213/5000][230/535][125111] Loss_D: -0.020653 Loss_G: 0.021112 Loss_D_real: -0.021472 Loss_D_fake -0.000819
[1213/5000][235/535][125112] Loss_D: -0.020259 Loss_G: 0.006447 Loss_D_real: -0.017854 Loss_D_fake 0.002404
[1213/5000][240/535][125113] Loss_D: -0.019735 Loss_G: 0.001936 Loss_D_real: -0.002833 Loss_D_fake 0.016902
[1213/5000][245/535][125114] Loss_D: -0.020213 Loss_G: 0.012428 Loss_D_real: -0.020831 Loss_D_fake -0.000618
[1213/5000][250/535][125115] Loss_D: -0.019265 Loss_G: 0.001808 Loss_D_real: -0.010135 Loss_D_fake 0.009130
[1213/5000][255/535][125116] Loss_D: -0.019473 Loss_G: 0.002338 Loss_D_real: -0.009202 Loss_D_fake 0.010271
[1213/5000][260/535][125117] Loss_D: -0.019809 Loss_G: -0.003801 Loss_D_real: -0.023255 Loss_D_fake -0.003446
[1213/5000][265/535][125118] Loss_D: -0.020922 Loss_G: 0.007232 Loss_D_real: -0.012454 Loss_D_fake 0.008469
[1213/5000][270/535][125119] Loss_D: -0.020086 Loss_G: 0.025228 Loss_D_real: -0.033057 Loss_D_fake -0.012971
[1213/5000][275/535][125120] Loss_D: -0.020792 Loss_G: 0.010253 Loss_D_real: -0.021017 Loss_D_fake -0.000225
[1213/5000][280/535][125121] Loss_D: -0.020978 Loss_G: 0.015699 Loss_D_real: -0.014337 Loss_D_fake 0.006641
[1213/5000][285/535][125122] Loss_D: -0.019842 Loss_G: 0.011311 Loss_D_real: -0.028053 Loss_D_fake -0.008211
[1213/5000][290/535][125123] Loss_D: -0.019592 Loss_G: 0.000941 Loss_D_real: -0.003783 Loss_D_fake 0.015809
[1213/5000][295/535][125124] Loss_D: -0.020633 Loss_G: -0.001600 Loss_D_real: -0.015691 Loss_D_fake 0.004943
[1213/5000][300/535][125125] Loss_D: -0.020080 Loss_G: 0.012101 Loss_D_real: -0.023529 Loss_D_fake -0.003449
[1213/5000][305/535][125126] Loss_D: -0.020778 Loss_G: -0.021789 Loss_D_real: -0.012085 Loss_D_fake 0.008693
[1213/5000][310/535][125127] Loss_D: -0.020706 Loss_G: 0.024582 Loss_D_real: -0.023077 Loss_D_fake -0.002371
[1213/5000][315/535][125128] Loss_D: -0.020676 Loss_G: 0.012247 Loss_D_real: -0.016367 Loss_D_fake 0.004309
[1213/5000][320/535][125129] Loss_D: -0.020209 Loss_G: 0.003189 Loss_D_real: -0.003136 Loss_D_fake 0.017073
[1213/5000][325/535][125130] Loss_D: -0.020235 Loss_G: 0.007300 Loss_D_real: -0.010483 Loss_D_fake 0.009752
[1213/5000][330/535][125131] Loss_D: -0.022195 Loss_G: 0.010266 Loss_D_real: -0.006434 Loss_D_fake 0.015761
[1213/5000][335/535][125132] Loss_D: -0.020727 Loss_G: 0.004255 Loss_D_real: -0.017186 Loss_D_fake 0.003540
[1213/5000][340/535][125133] Loss_D: -0.020273 Loss_G: 0.013842 Loss_D_real: -0.020360 Loss_D_fake -0.000087
[1213/5000][345/535][125134] Loss_D: -0.020041 Loss_G: -0.002555 Loss_D_real: 0.002862 Loss_D_fake 0.022903
[1213/5000][350/535][125135] Loss_D: -0.020592 Loss_G: 0.024236 Loss_D_real: -0.023034 Loss_D_fake -0.002441
[1213/5000][355/535][125136] Loss_D: -0.019922 Loss_G: 0.003867 Loss_D_real: -0.021163 Loss_D_fake -0.001241
[1213/5000][360/535][125137] Loss_D: -0.020829 Loss_G: 0.011956 Loss_D_real: -0.023346 Loss_D_fake -0.002517
[1213/5000][365/535][125138] Loss_D: -0.018943 Loss_G: -0.003984 Loss_D_real: -0.005867 Loss_D_fake 0.013075
[1213/5000][370/535][125139] Loss_D: -0.020058 Loss_G: 0.013248 Loss_D_real: -0.009764 Loss_D_fake 0.010294
[1213/5000][375/535][125140] Loss_D: -0.018372 Loss_G: 0.015681 Loss_D_real: -0.023369 Loss_D_fake -0.004998
[1213/5000][380/535][125141] Loss_D: -0.020827 Loss_G: 0.011609 Loss_D_real: -0.007222 Loss_D_fake 0.013605
[1213/5000][385/535][125142] Loss_D: -0.020612 Loss_G: 0.007079 Loss_D_real: -0.016951 Loss_D_fake 0.003662
[1213/5000][390/535][125143] Loss_D: -0.020726 Loss_G: 0.030426 Loss_D_real: -0.018116 Loss_D_fake 0.002610
[1213/5000][395/535][125144] Loss_D: -0.020762 Loss_G: 0.011955 Loss_D_real: -0.011309 Loss_D_fake 0.009453
[1213/5000][400/535][125145] Loss_D: -0.019598 Loss_G: 0.005684 Loss_D_real: -0.022715 Loss_D_fake -0.003117
[1213/5000][405/535][125146] Loss_D: -0.020878 Loss_G: 0.010077 Loss_D_real: -0.027567 Loss_D_fake -0.006689
[1213/5000][410/535][125147] Loss_D: -0.020283 Loss_G: 0.005442 Loss_D_real: -0.017183 Loss_D_fake 0.003101
[1213/5000][415/535][125148] Loss_D: -0.019786 Loss_G: 0.015635 Loss_D_real: -0.024177 Loss_D_fake -0.004391
[1213/5000][420/535][125149] Loss_D: -0.020865 Loss_G: 0.016112 Loss_D_real: -0.026226 Loss_D_fake -0.005361
[1213/5000][425/535][125150] Loss_D: -0.020966 Loss_G: -0.018333 Loss_D_real: -0.011147 Loss_D_fake 0.009819
[1213/5000][430/535][125151] Loss_D: -0.019404 Loss_G: 0.016431 Loss_D_real: -0.024916 Loss_D_fake -0.005512
[1213/5000][435/535][125152] Loss_D: -0.020754 Loss_G: 0.020449 Loss_D_real: -0.019368 Loss_D_fake 0.001387
[1213/5000][440/535][125153] Loss_D: -0.020096 Loss_G: -0.008658 Loss_D_real: -0.003415 Loss_D_fake 0.016681
[1213/5000][445/535][125154] Loss_D: -0.019909 Loss_G: 0.008341 Loss_D_real: -0.015629 Loss_D_fake 0.004281
[1213/5000][450/535][125155] Loss_D: -0.018665 Loss_G: 0.002757 Loss_D_real: -0.003640 Loss_D_fake 0.015025
[1213/5000][455/535][125156] Loss_D: -0.018722 Loss_G: 0.018220 Loss_D_real: -0.023069 Loss_D_fake -0.004347
[1213/5000][460/535][125157] Loss_D: -0.020240 Loss_G: -0.004887 Loss_D_real: -0.010701 Loss_D_fake 0.009538
[1213/5000][465/535][125158] Loss_D: -0.019162 Loss_G: -0.000774 Loss_D_real: -0.008588 Loss_D_fake 0.010574
[1213/5000][470/535][125159] Loss_D: -0.019675 Loss_G: -0.005230 Loss_D_real: -0.001422 Loss_D_fake 0.018254
[1213/5000][475/535][125160] Loss_D: -0.017659 Loss_G: 0.020503 Loss_D_real: -0.046698 Loss_D_fake -0.029039
[1213/5000][480/535][125161] Loss_D: -0.020041 Loss_G: 0.014466 Loss_D_real: -0.025985 Loss_D_fake -0.005944
[1213/5000][485/535][125162] Loss_D: -0.021956 Loss_G: 0.004701 Loss_D_real: -0.017912 Loss_D_fake 0.004044
[1213/5000][490/535][125163] Loss_D: -0.021190 Loss_G: 0.005983 Loss_D_real: -0.017410 Loss_D_fake 0.003781
[1213/5000][495/535][125164] Loss_D: -0.020024 Loss_G: -0.003157 Loss_D_real: -0.016811 Loss_D_fake 0.003213
[1213/5000][500/535][125165] Loss_D: -0.020635 Loss_G: 0.005142 Loss_D_real: -0.014043 Loss_D_fake 0.006592
[1213/5000][505/535][125166] Loss_D: -0.019855 Loss_G: 0.002572 Loss_D_real: -0.023242 Loss_D_fake -0.003387
[1213/5000][510/535][125167] Loss_D: -0.019786 Loss_G: 0.018621 Loss_D_real: -0.026769 Loss_D_fake -0.006982
[1213/5000][515/535][125168] Loss_D: -0.021130 Loss_G: -0.012317 Loss_D_real: -0.010974 Loss_D_fake 0.010157
[1213/5000][520/535][125169] Loss_D: -0.020004 Loss_G: 0.015873 Loss_D_real: -0.017323 Loss_D_fake 0.002681
[1213/5000][525/535][125170] Loss_D: -0.020435 Loss_G: 0.014656 Loss_D_real: -0.019159 Loss_D_fake 0.001276
[1213/5000][530/535][125171] Loss_D: -0.019882 Loss_G: 0.002404 Loss_D_real: -0.013286 Loss_D_fake 0.006596
[1213/5000][535/535][125172] Loss_D: -0.020009 Loss_G: 0.005569 Loss_D_real: -0.021893 Loss_D_fake -0.001884
[1214/5000][5/535][125173] Loss_D: -0.019972 Loss_G: 0.003859 Loss_D_real: -0.010796 Loss_D_fake 0.009176
[1214/5000][10/535][125174] Loss_D: -0.019125 Loss_G: 0.006680 Loss_D_real: -0.025988 Loss_D_fake -0.006863
[1214/5000][15/535][125175] Loss_D: -0.019270 Loss_G: 0.019911 Loss_D_real: -0.030410 Loss_D_fake -0.011140
[1214/5000][20/535][125176] Loss_D: -0.020295 Loss_G: 0.005481 Loss_D_real: -0.004870 Loss_D_fake 0.015425
[1214/5000][25/535][125177] Loss_D: -0.020253 Loss_G: 0.008775 Loss_D_real: -0.016673 Loss_D_fake 0.003580
[1214/5000][30/535][125178] Loss_D: -0.019165 Loss_G: 0.017963 Loss_D_real: -0.019379 Loss_D_fake -0.000215
[1214/5000][35/535][125179] Loss_D: -0.021109 Loss_G: -0.008748 Loss_D_real: -0.013856 Loss_D_fake 0.007254
[1214/5000][40/535][125180] Loss_D: -0.018773 Loss_G: -0.012480 Loss_D_real: -0.005314 Loss_D_fake 0.013459
[1214/5000][45/535][125181] Loss_D: -0.020950 Loss_G: 0.013422 Loss_D_real: -0.030967 Loss_D_fake -0.010017
[1214/5000][50/535][125182] Loss_D: -0.020336 Loss_G: 0.018877 Loss_D_real: -0.026215 Loss_D_fake -0.005879
[1214/5000][55/535][125183] Loss_D: -0.019587 Loss_G: 0.010565 Loss_D_real: -0.010244 Loss_D_fake 0.009343
[1214/5000][60/535][125184] Loss_D: -0.020385 Loss_G: 0.011813 Loss_D_real: -0.015312 Loss_D_fake 0.005072
[1214/5000][65/535][125185] Loss_D: -0.019985 Loss_G: 0.005652 Loss_D_real: -0.023378 Loss_D_fake -0.003392
[1214/5000][70/535][125186] Loss_D: -0.019465 Loss_G: 0.015330 Loss_D_real: -0.021799 Loss_D_fake -0.002334
[1214/5000][75/535][125187] Loss_D: -0.020702 Loss_G: 0.002060 Loss_D_real: -0.016304 Loss_D_fake 0.004398
[1214/5000][80/535][125188] Loss_D: -0.020973 Loss_G: 0.019927 Loss_D_real: -0.017286 Loss_D_fake 0.003687
[1214/5000][85/535][125189] Loss_D: -0.020219 Loss_G: 0.005905 Loss_D_real: -0.019376 Loss_D_fake 0.000843
[1214/5000][90/535][125190] Loss_D: -0.019496 Loss_G: -0.012675 Loss_D_real: -0.001424 Loss_D_fake 0.018072
[1214/5000][95/535][125191] Loss_D: -0.019832 Loss_G: 0.029286 Loss_D_real: -0.036458 Loss_D_fake -0.016626
[1214/5000][100/535][125192] Loss_D: -0.019478 Loss_G: 0.006624 Loss_D_real: -0.014157 Loss_D_fake 0.005321
[1214/5000][105/535][125193] Loss_D: -0.021074 Loss_G: 0.011792 Loss_D_real: -0.031523 Loss_D_fake -0.010450
[1214/5000][110/535][125194] Loss_D: -0.019245 Loss_G: 0.018738 Loss_D_real: -0.026937 Loss_D_fake -0.007692
[1214/5000][115/535][125195] Loss_D: -0.020587 Loss_G: -0.019120 Loss_D_real: -0.006537 Loss_D_fake 0.014050
[1214/5000][120/535][125196] Loss_D: -0.019286 Loss_G: -0.019200 Loss_D_real: -0.006928 Loss_D_fake 0.012358
[1214/5000][125/535][125197] Loss_D: -0.019366 Loss_G: 0.028817 Loss_D_real: -0.027384 Loss_D_fake -0.008017
[1214/5000][130/535][125198] Loss_D: -0.019537 Loss_G: -0.017881 Loss_D_real: -0.000499 Loss_D_fake 0.019037
[1214/5000][135/535][125199] Loss_D: -0.018593 Loss_G: 0.017794 Loss_D_real: -0.028246 Loss_D_fake -0.009653
[1214/5000][140/535][125200] Loss_D: -0.019980 Loss_G: 0.017260 Loss_D_real: -0.011808 Loss_D_fake 0.008172
[1214/5000][145/535][125201] Loss_D: -0.019024 Loss_G: 0.020278 Loss_D_real: -0.020857 Loss_D_fake -0.001833
[1214/5000][150/535][125202] Loss_D: -0.019716 Loss_G: 0.004228 Loss_D_real: -0.012726 Loss_D_fake 0.006989
[1214/5000][155/535][125203] Loss_D: -0.019105 Loss_G: -0.005240 Loss_D_real: -0.016334 Loss_D_fake 0.002770
[1214/5000][160/535][125204] Loss_D: -0.019109 Loss_G: 0.006770 Loss_D_real: -0.019772 Loss_D_fake -0.000663
[1214/5000][165/535][125205] Loss_D: -0.021020 Loss_G: 0.024116 Loss_D_real: -0.013439 Loss_D_fake 0.007580
[1214/5000][170/535][125206] Loss_D: -0.020575 Loss_G: 0.008851 Loss_D_real: -0.006294 Loss_D_fake 0.014281
[1214/5000][175/535][125207] Loss_D: -0.021962 Loss_G: -0.009909 Loss_D_real: -0.018444 Loss_D_fake 0.003518
[1214/5000][180/535][125208] Loss_D: -0.019321 Loss_G: 0.016420 Loss_D_real: -0.022416 Loss_D_fake -0.003095
[1214/5000][185/535][125209] Loss_D: -0.021103 Loss_G: -0.004584 Loss_D_real: -0.006079 Loss_D_fake 0.015025
[1214/5000][190/535][125210] Loss_D: -0.020466 Loss_G: -0.000923 Loss_D_real: -0.025428 Loss_D_fake -0.004962
[1214/5000][195/535][125211] Loss_D: -0.019744 Loss_G: 0.010502 Loss_D_real: -0.021567 Loss_D_fake -0.001823
[1214/5000][200/535][125212] Loss_D: -0.020232 Loss_G: 0.009126 Loss_D_real: -0.024266 Loss_D_fake -0.004033
[1214/5000][205/535][125213] Loss_D: -0.020547 Loss_G: 0.012653 Loss_D_real: -0.015272 Loss_D_fake 0.005274
[1214/5000][210/535][125214] Loss_D: -0.020309 Loss_G: 0.020459 Loss_D_real: -0.019846 Loss_D_fake 0.000463
[1214/5000][215/535][125215] Loss_D: -0.020815 Loss_G: -0.003153 Loss_D_real: -0.005192 Loss_D_fake 0.015624
[1214/5000][220/535][125216] Loss_D: -0.020957 Loss_G: -0.001913 Loss_D_real: -0.018811 Loss_D_fake 0.002146
[1214/5000][225/535][125217] Loss_D: -0.020539 Loss_G: 0.024621 Loss_D_real: -0.010703 Loss_D_fake 0.009836
[1214/5000][230/535][125218] Loss_D: -0.020528 Loss_G: 0.007909 Loss_D_real: -0.025259 Loss_D_fake -0.004731
[1214/5000][235/535][125219] Loss_D: -0.021320 Loss_G: 0.000539 Loss_D_real: -0.023373 Loss_D_fake -0.002052
[1214/5000][240/535][125220] Loss_D: -0.020507 Loss_G: 0.011111 Loss_D_real: -0.026312 Loss_D_fake -0.005805
[1214/5000][245/535][125221] Loss_D: -0.021878 Loss_G: -0.006625 Loss_D_real: -0.005848 Loss_D_fake 0.016030
[1214/5000][250/535][125222] Loss_D: -0.020377 Loss_G: -0.001958 Loss_D_real: -0.007660 Loss_D_fake 0.012717
[1214/5000][255/535][125223] Loss_D: -0.020356 Loss_G: 0.004678 Loss_D_real: -0.010885 Loss_D_fake 0.009470
[1214/5000][260/535][125224] Loss_D: -0.020626 Loss_G: 0.004136 Loss_D_real: -0.020578 Loss_D_fake 0.000047
[1214/5000][265/535][125225] Loss_D: -0.020741 Loss_G: -0.006771 Loss_D_real: -0.002020 Loss_D_fake 0.018721
[1214/5000][270/535][125226] Loss_D: -0.020112 Loss_G: 0.019091 Loss_D_real: -0.026697 Loss_D_fake -0.006586
[1214/5000][275/535][125227] Loss_D: -0.022387 Loss_G: 0.002402 Loss_D_real: -0.024153 Loss_D_fake -0.001766
[1214/5000][280/535][125228] Loss_D: -0.021665 Loss_G: -0.010944 Loss_D_real: -0.016084 Loss_D_fake 0.005581
[1214/5000][285/535][125229] Loss_D: -0.020499 Loss_G: 0.000713 Loss_D_real: -0.010256 Loss_D_fake 0.010243
[1214/5000][290/535][125230] Loss_D: -0.017628 Loss_G: 0.019778 Loss_D_real: -0.032645 Loss_D_fake -0.015017
[1214/5000][295/535][125231] Loss_D: -0.020337 Loss_G: 0.003654 Loss_D_real: -0.020687 Loss_D_fake -0.000351
[1214/5000][300/535][125232] Loss_D: -0.019380 Loss_G: 0.000271 Loss_D_real: -0.016498 Loss_D_fake 0.002882
[1214/5000][305/535][125233] Loss_D: -0.021953 Loss_G: 0.026154 Loss_D_real: -0.009197 Loss_D_fake 0.012756
[1214/5000][310/535][125234] Loss_D: -0.019887 Loss_G: 0.009036 Loss_D_real: -0.030444 Loss_D_fake -0.010557
[1214/5000][315/535][125235] Loss_D: -0.020434 Loss_G: -0.015372 Loss_D_real: 0.008582 Loss_D_fake 0.029015
[1214/5000][320/535][125236] Loss_D: -0.020185 Loss_G: 0.010001 Loss_D_real: -0.020966 Loss_D_fake -0.000781
[1214/5000][325/535][125237] Loss_D: -0.019924 Loss_G: 0.013205 Loss_D_real: -0.017176 Loss_D_fake 0.002748
[1214/5000][330/535][125238] Loss_D: -0.019980 Loss_G: -0.005063 Loss_D_real: -0.014449 Loss_D_fake 0.005531
[1214/5000][335/535][125239] Loss_D: -0.019338 Loss_G: 0.012160 Loss_D_real: -0.024756 Loss_D_fake -0.005418
[1214/5000][340/535][125240] Loss_D: -0.019545 Loss_G: 0.013739 Loss_D_real: -0.018740 Loss_D_fake 0.000806
[1214/5000][345/535][125241] Loss_D: -0.019583 Loss_G: 0.008581 Loss_D_real: -0.005627 Loss_D_fake 0.013956
[1214/5000][350/535][125242] Loss_D: -0.019743 Loss_G: -0.002662 Loss_D_real: -0.017309 Loss_D_fake 0.002434
[1214/5000][355/535][125243] Loss_D: -0.019914 Loss_G: 0.024561 Loss_D_real: -0.034804 Loss_D_fake -0.014890
[1214/5000][360/535][125244] Loss_D: -0.021708 Loss_G: 0.008660 Loss_D_real: -0.028407 Loss_D_fake -0.006699
[1214/5000][365/535][125245] Loss_D: -0.020768 Loss_G: -0.001492 Loss_D_real: -0.007806 Loss_D_fake 0.012961
[1214/5000][370/535][125246] Loss_D: -0.021840 Loss_G: 0.011186 Loss_D_real: -0.003165 Loss_D_fake 0.018675
[1214/5000][375/535][125247] Loss_D: -0.020290 Loss_G: 0.010574 Loss_D_real: -0.023319 Loss_D_fake -0.003029
[1214/5000][380/535][125248] Loss_D: -0.020820 Loss_G: 0.001400 Loss_D_real: -0.020789 Loss_D_fake 0.000030
[1214/5000][385/535][125249] Loss_D: -0.021261 Loss_G: 0.008526 Loss_D_real: -0.006655 Loss_D_fake 0.014606
[1214/5000][390/535][125250] Loss_D: -0.022449 Loss_G: 0.008047 Loss_D_real: -0.018386 Loss_D_fake 0.004064
[1214/5000][395/535][125251] Loss_D: -0.020228 Loss_G: 0.015975 Loss_D_real: -0.024832 Loss_D_fake -0.004605
[1214/5000][400/535][125252] Loss_D: -0.021303 Loss_G: 0.019327 Loss_D_real: -0.024232 Loss_D_fake -0.002930
[1214/5000][405/535][125253] Loss_D: -0.020363 Loss_G: 0.002548 Loss_D_real: -0.010138 Loss_D_fake 0.010225
[1214/5000][410/535][125254] Loss_D: -0.020490 Loss_G: 0.007764 Loss_D_real: -0.021282 Loss_D_fake -0.000792
[1214/5000][415/535][125255] Loss_D: -0.019877 Loss_G: -0.000117 Loss_D_real: -0.026876 Loss_D_fake -0.006999
[1214/5000][420/535][125256] Loss_D: -0.020260 Loss_G: -0.007683 Loss_D_real: -0.002669 Loss_D_fake 0.017591
[1214/5000][425/535][125257] Loss_D: -0.020066 Loss_G: 0.016505 Loss_D_real: -0.022406 Loss_D_fake -0.002340
[1214/5000][430/535][125258] Loss_D: -0.020979 Loss_G: 0.011168 Loss_D_real: -0.013794 Loss_D_fake 0.007185
[1214/5000][435/535][125259] Loss_D: -0.021240 Loss_G: 0.000266 Loss_D_real: -0.024455 Loss_D_fake -0.003215
[1214/5000][440/535][125260] Loss_D: -0.020731 Loss_G: 0.010858 Loss_D_real: -0.013381 Loss_D_fake 0.007351
[1214/5000][445/535][125261] Loss_D: -0.020511 Loss_G: 0.011582 Loss_D_real: -0.011578 Loss_D_fake 0.008933
[1214/5000][450/535][125262] Loss_D: -0.020556 Loss_G: -0.003388 Loss_D_real: -0.005302 Loss_D_fake 0.015254
[1214/5000][455/535][125263] Loss_D: -0.021578 Loss_G: 0.016578 Loss_D_real: -0.023466 Loss_D_fake -0.001888
[1214/5000][460/535][125264] Loss_D: -0.020578 Loss_G: 0.021087 Loss_D_real: -0.022372 Loss_D_fake -0.001794
[1214/5000][465/535][125265] Loss_D: -0.020116 Loss_G: 0.016042 Loss_D_real: -0.037024 Loss_D_fake -0.016909
[1214/5000][470/535][125266] Loss_D: -0.020206 Loss_G: -0.007068 Loss_D_real: -0.004054 Loss_D_fake 0.016152
[1214/5000][475/535][125267] Loss_D: -0.019891 Loss_G: -0.002563 Loss_D_real: -0.008737 Loss_D_fake 0.011154
[1214/5000][480/535][125268] Loss_D: -0.020429 Loss_G: -0.017774 Loss_D_real: -0.001133 Loss_D_fake 0.019296
[1214/5000][485/535][125269] Loss_D: -0.020371 Loss_G: 0.008116 Loss_D_real: -0.000377 Loss_D_fake 0.019993
[1214/5000][490/535][125270] Loss_D: -0.018984 Loss_G: 0.023101 Loss_D_real: -0.024172 Loss_D_fake -0.005188
[1214/5000][495/535][125271] Loss_D: -0.019684 Loss_G: -0.011531 Loss_D_real: 0.000938 Loss_D_fake 0.020622
[1214/5000][500/535][125272] Loss_D: -0.020176 Loss_G: 0.016644 Loss_D_real: -0.014885 Loss_D_fake 0.005291
[1214/5000][505/535][125273] Loss_D: -0.019837 Loss_G: -0.003114 Loss_D_real: -0.026958 Loss_D_fake -0.007121
[1214/5000][510/535][125274] Loss_D: -0.019893 Loss_G: -0.016821 Loss_D_real: -0.005471 Loss_D_fake 0.014422
[1214/5000][515/535][125275] Loss_D: -0.020057 Loss_G: 0.026724 Loss_D_real: -0.025987 Loss_D_fake -0.005930
[1214/5000][520/535][125276] Loss_D: -0.020697 Loss_G: -0.007026 Loss_D_real: -0.007062 Loss_D_fake 0.013635
[1214/5000][525/535][125277] Loss_D: -0.020022 Loss_G: -0.014772 Loss_D_real: -0.006820 Loss_D_fake 0.013202
[1214/5000][530/535][125278] Loss_D: -0.020858 Loss_G: 0.015168 Loss_D_real: -0.021123 Loss_D_fake -0.000265
[1214/5000][535/535][125279] Loss_D: -0.018953 Loss_G: 0.023400 Loss_D_real: -0.016949 Loss_D_fake 0.002004
[1215/5000][5/535][125280] Loss_D: -0.022261 Loss_G: -0.003113 Loss_D_real: -0.013282 Loss_D_fake 0.008979
[1215/5000][10/535][125281] Loss_D: -0.020907 Loss_G: 0.000918 Loss_D_real: -0.029583 Loss_D_fake -0.008676
[1215/5000][15/535][125282] Loss_D: -0.019506 Loss_G: 0.009312 Loss_D_real: -0.039736 Loss_D_fake -0.020230
[1215/5000][20/535][125283] Loss_D: -0.018495 Loss_G: 0.023363 Loss_D_real: -0.038112 Loss_D_fake -0.019617
[1215/5000][25/535][125284] Loss_D: -0.020731 Loss_G: -0.003562 Loss_D_real: -0.004296 Loss_D_fake 0.016436
[1215/5000][30/535][125285] Loss_D: -0.019774 Loss_G: 0.000582 Loss_D_real: -0.008690 Loss_D_fake 0.011084
[1215/5000][35/535][125286] Loss_D: -0.018901 Loss_G: 0.019887 Loss_D_real: -0.022751 Loss_D_fake -0.003850
[1215/5000][40/535][125287] Loss_D: -0.020529 Loss_G: 0.005033 Loss_D_real: -0.016981 Loss_D_fake 0.003548
[1215/5000][45/535][125288] Loss_D: -0.020438 Loss_G: -0.006011 Loss_D_real: -0.008616 Loss_D_fake 0.011822
[1215/5000][50/535][125289] Loss_D: -0.019854 Loss_G: 0.025207 Loss_D_real: -0.036597 Loss_D_fake -0.016743
[1215/5000][55/535][125290] Loss_D: -0.020234 Loss_G: -0.002364 Loss_D_real: -0.002321 Loss_D_fake 0.017913
[1215/5000][60/535][125291] Loss_D: -0.019684 Loss_G: 0.008967 Loss_D_real: -0.011440 Loss_D_fake 0.008244
[1215/5000][65/535][125292] Loss_D: -0.019626 Loss_G: 0.002687 Loss_D_real: -0.019971 Loss_D_fake -0.000346
[1215/5000][70/535][125293] Loss_D: -0.019185 Loss_G: 0.034313 Loss_D_real: -0.030786 Loss_D_fake -0.011601
[1215/5000][75/535][125294] Loss_D: -0.016862 Loss_G: -0.024712 Loss_D_real: 0.004880 Loss_D_fake 0.021742
[1215/5000][80/535][125295] Loss_D: -0.019963 Loss_G: -0.001392 Loss_D_real: -0.009495 Loss_D_fake 0.010467
[1215/5000][85/535][125296] Loss_D: -0.020629 Loss_G: 0.009513 Loss_D_real: -0.010889 Loss_D_fake 0.009740
[1215/5000][90/535][125297] Loss_D: -0.020032 Loss_G: 0.010094 Loss_D_real: -0.014912 Loss_D_fake 0.005119
[1215/5000][95/535][125298] Loss_D: -0.019876 Loss_G: -0.005726 Loss_D_real: 0.008188 Loss_D_fake 0.028064
[1215/5000][100/535][125299] Loss_D: -0.019577 Loss_G: 0.012707 Loss_D_real: -0.023803 Loss_D_fake -0.004226
[1215/5000][105/535][125300] Loss_D: -0.019993 Loss_G: 0.005789 Loss_D_real: -0.012354 Loss_D_fake 0.007639
[1215/5000][110/535][125301] Loss_D: -0.019999 Loss_G: 0.003654 Loss_D_real: -0.016709 Loss_D_fake 0.003290
[1215/5000][115/535][125302] Loss_D: -0.019287 Loss_G: 0.003547 Loss_D_real: -0.019422 Loss_D_fake -0.000135
[1215/5000][120/535][125303] Loss_D: -0.020774 Loss_G: 0.017509 Loss_D_real: -0.028314 Loss_D_fake -0.007541
[1215/5000][125/535][125304] Loss_D: -0.019878 Loss_G: 0.022818 Loss_D_real: -0.034506 Loss_D_fake -0.014628
[1215/5000][130/535][125305] Loss_D: -0.021223 Loss_G: 0.000253 Loss_D_real: -0.007076 Loss_D_fake 0.014147
[1215/5000][135/535][125306] Loss_D: -0.021762 Loss_G: 0.017612 Loss_D_real: -0.018547 Loss_D_fake 0.003215
[1215/5000][140/535][125307] Loss_D: -0.020566 Loss_G: 0.019273 Loss_D_real: -0.023380 Loss_D_fake -0.002813
[1215/5000][145/535][125308] Loss_D: -0.022063 Loss_G: 0.017324 Loss_D_real: -0.016844 Loss_D_fake 0.005220
[1215/5000][150/535][125309] Loss_D: -0.021472 Loss_G: -0.002892 Loss_D_real: -0.013316 Loss_D_fake 0.008155
[1215/5000][155/535][125310] Loss_D: -0.020641 Loss_G: 0.007870 Loss_D_real: -0.019038 Loss_D_fake 0.001603
[1215/5000][160/535][125311] Loss_D: -0.021412 Loss_G: -0.000189 Loss_D_real: -0.007111 Loss_D_fake 0.014301
[1215/5000][165/535][125312] Loss_D: -0.019352 Loss_G: -0.018033 Loss_D_real: 0.002759 Loss_D_fake 0.022111
[1215/5000][170/535][125313] Loss_D: -0.019811 Loss_G: 0.013788 Loss_D_real: -0.028555 Loss_D_fake -0.008745
[1215/5000][175/535][125314] Loss_D: -0.021850 Loss_G: 0.020349 Loss_D_real: -0.023361 Loss_D_fake -0.001511
[1215/5000][180/535][125315] Loss_D: -0.021063 Loss_G: 0.006594 Loss_D_real: -0.023459 Loss_D_fake -0.002396
[1215/5000][185/535][125316] Loss_D: -0.018082 Loss_G: 0.028756 Loss_D_real: -0.035629 Loss_D_fake -0.017547
[1215/5000][190/535][125317] Loss_D: -0.020149 Loss_G: -0.007266 Loss_D_real: -0.006983 Loss_D_fake 0.013166
[1215/5000][195/535][125318] Loss_D: -0.019011 Loss_G: 0.026072 Loss_D_real: -0.027899 Loss_D_fake -0.008888
[1215/5000][200/535][125319] Loss_D: -0.018376 Loss_G: 0.018186 Loss_D_real: -0.033383 Loss_D_fake -0.015008
[1215/5000][205/535][125320] Loss_D: -0.021854 Loss_G: 0.004371 Loss_D_real: -0.021239 Loss_D_fake 0.000614
[1215/5000][210/535][125321] Loss_D: -0.021152 Loss_G: -0.005606 Loss_D_real: -0.010394 Loss_D_fake 0.010758
[1215/5000][215/535][125322] Loss_D: -0.021407 Loss_G: -0.016619 Loss_D_real: -0.015406 Loss_D_fake 0.006001
[1215/5000][220/535][125323] Loss_D: -0.019360 Loss_G: -0.001797 Loss_D_real: -0.008000 Loss_D_fake 0.011360
[1215/5000][225/535][125324] Loss_D: -0.020895 Loss_G: 0.000302 Loss_D_real: -0.013119 Loss_D_fake 0.007776
[1215/5000][230/535][125325] Loss_D: -0.020535 Loss_G: 0.004636 Loss_D_real: -0.014756 Loss_D_fake 0.005779
[1215/5000][235/535][125326] Loss_D: -0.021306 Loss_G: -0.000547 Loss_D_real: -0.015555 Loss_D_fake 0.005751
[1215/5000][240/535][125327] Loss_D: -0.020215 Loss_G: 0.015406 Loss_D_real: -0.016528 Loss_D_fake 0.003688
[1215/5000][245/535][125328] Loss_D: -0.018479 Loss_G: -0.016818 Loss_D_real: 0.006890 Loss_D_fake 0.025369
[1215/5000][250/535][125329] Loss_D: -0.020464 Loss_G: 0.014262 Loss_D_real: -0.013007 Loss_D_fake 0.007457
[1215/5000][255/535][125330] Loss_D: -0.020617 Loss_G: 0.014614 Loss_D_real: -0.027994 Loss_D_fake -0.007377
[1215/5000][260/535][125331] Loss_D: -0.019937 Loss_G: -0.001735 Loss_D_real: -0.017484 Loss_D_fake 0.002453
[1215/5000][265/535][125332] Loss_D: -0.021371 Loss_G: 0.010416 Loss_D_real: -0.015611 Loss_D_fake 0.005760
[1215/5000][270/535][125333] Loss_D: -0.022376 Loss_G: 0.008418 Loss_D_real: -0.010910 Loss_D_fake 0.011466
[1215/5000][275/535][125334] Loss_D: -0.020081 Loss_G: -0.008958 Loss_D_real: -0.006241 Loss_D_fake 0.013840
[1215/5000][280/535][125335] Loss_D: -0.020910 Loss_G: 0.020494 Loss_D_real: -0.022176 Loss_D_fake -0.001267
[1215/5000][285/535][125336] Loss_D: -0.020804 Loss_G: 0.015920 Loss_D_real: -0.025983 Loss_D_fake -0.005179
[1215/5000][290/535][125337] Loss_D: -0.021163 Loss_G: -0.004254 Loss_D_real: -0.004425 Loss_D_fake 0.016738
[1215/5000][295/535][125338] Loss_D: -0.020941 Loss_G: -0.014041 Loss_D_real: -0.008689 Loss_D_fake 0.012252
[1215/5000][300/535][125339] Loss_D: -0.019988 Loss_G: -0.009086 Loss_D_real: -0.005432 Loss_D_fake 0.014556
[1215/5000][305/535][125340] Loss_D: -0.019865 Loss_G: 0.008054 Loss_D_real: -0.020362 Loss_D_fake -0.000497
[1215/5000][310/535][125341] Loss_D: -0.019555 Loss_G: 0.001054 Loss_D_real: -0.008723 Loss_D_fake 0.010832
[1215/5000][315/535][125342] Loss_D: -0.020199 Loss_G: 0.020035 Loss_D_real: -0.024278 Loss_D_fake -0.004078
[1215/5000][320/535][125343] Loss_D: -0.019447 Loss_G: 0.008357 Loss_D_real: -0.029098 Loss_D_fake -0.009651
[1215/5000][325/535][125344] Loss_D: -0.020519 Loss_G: 0.020907 Loss_D_real: -0.021573 Loss_D_fake -0.001055
[1215/5000][330/535][125345] Loss_D: -0.020473 Loss_G: 0.013176 Loss_D_real: -0.028679 Loss_D_fake -0.008205
[1215/5000][335/535][125346] Loss_D: -0.019777 Loss_G: 0.017308 Loss_D_real: -0.021210 Loss_D_fake -0.001432
[1215/5000][340/535][125347] Loss_D: -0.019975 Loss_G: 0.016580 Loss_D_real: -0.028865 Loss_D_fake -0.008890
[1215/5000][345/535][125348] Loss_D: -0.021789 Loss_G: -0.002072 Loss_D_real: -0.005256 Loss_D_fake 0.016533
[1215/5000][350/535][125349] Loss_D: -0.019134 Loss_G: 0.007641 Loss_D_real: -0.022695 Loss_D_fake -0.003561
[1215/5000][355/535][125350] Loss_D: -0.019588 Loss_G: -0.006520 Loss_D_real: -0.009974 Loss_D_fake 0.009614
[1215/5000][360/535][125351] Loss_D: -0.020230 Loss_G: -0.011209 Loss_D_real: -0.012622 Loss_D_fake 0.007608
[1215/5000][365/535][125352] Loss_D: -0.020291 Loss_G: 0.020441 Loss_D_real: -0.026668 Loss_D_fake -0.006377
[1215/5000][370/535][125353] Loss_D: -0.019055 Loss_G: 0.029625 Loss_D_real: -0.028654 Loss_D_fake -0.009599
[1215/5000][375/535][125354] Loss_D: -0.018784 Loss_G: -0.011920 Loss_D_real: -0.002201 Loss_D_fake 0.016583
[1215/5000][380/535][125355] Loss_D: -0.019347 Loss_G: 0.031909 Loss_D_real: -0.030122 Loss_D_fake -0.010775
[1215/5000][385/535][125356] Loss_D: -0.019205 Loss_G: 0.000522 Loss_D_real: -0.015257 Loss_D_fake 0.003948
[1215/5000][390/535][125357] Loss_D: -0.019609 Loss_G: 0.003270 Loss_D_real: -0.027103 Loss_D_fake -0.007494
[1215/5000][395/535][125358] Loss_D: -0.020729 Loss_G: 0.005784 Loss_D_real: -0.020000 Loss_D_fake 0.000729
[1215/5000][400/535][125359] Loss_D: -0.020865 Loss_G: 0.024056 Loss_D_real: -0.021703 Loss_D_fake -0.000838
[1215/5000][405/535][125360] Loss_D: -0.020882 Loss_G: -0.007182 Loss_D_real: -0.001948 Loss_D_fake 0.018934
[1215/5000][410/535][125361] Loss_D: -0.020044 Loss_G: 0.010511 Loss_D_real: -0.023805 Loss_D_fake -0.003761
[1215/5000][415/535][125362] Loss_D: -0.019314 Loss_G: 0.003316 Loss_D_real: -0.017232 Loss_D_fake 0.002082
[1215/5000][420/535][125363] Loss_D: -0.022055 Loss_G: -0.006969 Loss_D_real: -0.012505 Loss_D_fake 0.009551
[1215/5000][425/535][125364] Loss_D: -0.020350 Loss_G: -0.001748 Loss_D_real: -0.014489 Loss_D_fake 0.005861
[1215/5000][430/535][125365] Loss_D: -0.020749 Loss_G: -0.010363 Loss_D_real: -0.001457 Loss_D_fake 0.019292
[1215/5000][435/535][125366] Loss_D: -0.020945 Loss_G: 0.007931 Loss_D_real: -0.010725 Loss_D_fake 0.010220
[1215/5000][440/535][125367] Loss_D: -0.019842 Loss_G: 0.024081 Loss_D_real: -0.031638 Loss_D_fake -0.011796
[1215/5000][445/535][125368] Loss_D: -0.020689 Loss_G: 0.014831 Loss_D_real: -0.016509 Loss_D_fake 0.004179
[1215/5000][450/535][125369] Loss_D: -0.020591 Loss_G: 0.021377 Loss_D_real: -0.018874 Loss_D_fake 0.001718
[1215/5000][455/535][125370] Loss_D: -0.020618 Loss_G: -0.006048 Loss_D_real: -0.018243 Loss_D_fake 0.002375
[1215/5000][460/535][125371] Loss_D: -0.019945 Loss_G: 0.005566 Loss_D_real: -0.005341 Loss_D_fake 0.014604
[1215/5000][465/535][125372] Loss_D: -0.019438 Loss_G: 0.004124 Loss_D_real: -0.008226 Loss_D_fake 0.011211
[1215/5000][470/535][125373] Loss_D: -0.019746 Loss_G: 0.009126 Loss_D_real: -0.025129 Loss_D_fake -0.005383
[1215/5000][475/535][125374] Loss_D: -0.020951 Loss_G: 0.013291 Loss_D_real: -0.022203 Loss_D_fake -0.001253
[1215/5000][480/535][125375] Loss_D: -0.020444 Loss_G: 0.009435 Loss_D_real: -0.010844 Loss_D_fake 0.009600
[1215/5000][485/535][125376] Loss_D: -0.021132 Loss_G: 0.016098 Loss_D_real: -0.022956 Loss_D_fake -0.001824
[1215/5000][490/535][125377] Loss_D: -0.019994 Loss_G: -0.010653 Loss_D_real: 0.006880 Loss_D_fake 0.026874
[1215/5000][495/535][125378] Loss_D: -0.020212 Loss_G: 0.009806 Loss_D_real: -0.022601 Loss_D_fake -0.002389
[1215/5000][500/535][125379] Loss_D: -0.020981 Loss_G: 0.003885 Loss_D_real: -0.017827 Loss_D_fake 0.003154
[1215/5000][505/535][125380] Loss_D: -0.020702 Loss_G: -0.009963 Loss_D_real: -0.006505 Loss_D_fake 0.014197
[1215/5000][510/535][125381] Loss_D: -0.020017 Loss_G: 0.024641 Loss_D_real: -0.020905 Loss_D_fake -0.000889
[1215/5000][515/535][125382] Loss_D: -0.020646 Loss_G: 0.012956 Loss_D_real: -0.022265 Loss_D_fake -0.001619
[1215/5000][520/535][125383] Loss_D: -0.019832 Loss_G: 0.019237 Loss_D_real: -0.026827 Loss_D_fake -0.006995
[1215/5000][525/535][125384] Loss_D: -0.018917 Loss_G: 0.023828 Loss_D_real: -0.026824 Loss_D_fake -0.007907
[1215/5000][530/535][125385] Loss_D: -0.019757 Loss_G: 0.014450 Loss_D_real: -0.027618 Loss_D_fake -0.007861
[1215/5000][535/535][125386] Loss_D: -0.018130 Loss_G: 0.004482 Loss_D_real: -0.031321 Loss_D_fake -0.013191
[1216/5000][5/535][125387] Loss_D: -0.020112 Loss_G: 0.008354 Loss_D_real: -0.025195 Loss_D_fake -0.005083
[1216/5000][10/535][125388] Loss_D: -0.020184 Loss_G: 0.001314 Loss_D_real: -0.015772 Loss_D_fake 0.004412
[1216/5000][15/535][125389] Loss_D: -0.019243 Loss_G: 0.017371 Loss_D_real: -0.034620 Loss_D_fake -0.015377
[1216/5000][20/535][125390] Loss_D: -0.020346 Loss_G: -0.003251 Loss_D_real: -0.007581 Loss_D_fake 0.012765
[1216/5000][25/535][125391] Loss_D: -0.019909 Loss_G: 0.030254 Loss_D_real: -0.027830 Loss_D_fake -0.007921
[1216/5000][30/535][125392] Loss_D: -0.020293 Loss_G: -0.002436 Loss_D_real: -0.013692 Loss_D_fake 0.006601
[1216/5000][35/535][125393] Loss_D: -0.018640 Loss_G: 0.018802 Loss_D_real: -0.019625 Loss_D_fake -0.000984
[1216/5000][40/535][125394] Loss_D: -0.018963 Loss_G: 0.003434 Loss_D_real: -0.021079 Loss_D_fake -0.002116
[1216/5000][45/535][125395] Loss_D: -0.019728 Loss_G: 0.010344 Loss_D_real: -0.016526 Loss_D_fake 0.003202
[1216/5000][50/535][125396] Loss_D: -0.020819 Loss_G: -0.000036 Loss_D_real: -0.029862 Loss_D_fake -0.009043
[1216/5000][55/535][125397] Loss_D: -0.020399 Loss_G: 0.009082 Loss_D_real: -0.014809 Loss_D_fake 0.005590
[1216/5000][60/535][125398] Loss_D: -0.020334 Loss_G: 0.019007 Loss_D_real: -0.023370 Loss_D_fake -0.003037
[1216/5000][65/535][125399] Loss_D: -0.020954 Loss_G: 0.018555 Loss_D_real: -0.028507 Loss_D_fake -0.007553
[1216/5000][70/535][125400] Loss_D: -0.020954 Loss_G: -0.006098 Loss_D_real: -0.012063 Loss_D_fake 0.008891
[1216/5000][75/535][125401] Loss_D: -0.019871 Loss_G: -0.008095 Loss_D_real: -0.002020 Loss_D_fake 0.017851
[1216/5000][80/535][125402] Loss_D: -0.018381 Loss_G: -0.011720 Loss_D_real: 0.002181 Loss_D_fake 0.020563
[1216/5000][85/535][125403] Loss_D: -0.018974 Loss_G: 0.001000 Loss_D_real: -0.017074 Loss_D_fake 0.001900
[1216/5000][90/535][125404] Loss_D: -0.020820 Loss_G: 0.016784 Loss_D_real: -0.026301 Loss_D_fake -0.005481
[1216/5000][95/535][125405] Loss_D: -0.019394 Loss_G: 0.019541 Loss_D_real: -0.018684 Loss_D_fake 0.000710
[1216/5000][100/535][125406] Loss_D: -0.020509 Loss_G: -0.006152 Loss_D_real: -0.008838 Loss_D_fake 0.011671
[1216/5000][105/535][125407] Loss_D: -0.020091 Loss_G: 0.007678 Loss_D_real: -0.018814 Loss_D_fake 0.001277
[1216/5000][110/535][125408] Loss_D: -0.020680 Loss_G: 0.004847 Loss_D_real: -0.022937 Loss_D_fake -0.002257
[1216/5000][115/535][125409] Loss_D: -0.020558 Loss_G: 0.009596 Loss_D_real: -0.024815 Loss_D_fake -0.004257
[1216/5000][120/535][125410] Loss_D: -0.019716 Loss_G: 0.002381 Loss_D_real: -0.012709 Loss_D_fake 0.007006
[1216/5000][125/535][125411] Loss_D: -0.020678 Loss_G: -0.003695 Loss_D_real: -0.015913 Loss_D_fake 0.004765
[1216/5000][130/535][125412] Loss_D: -0.019747 Loss_G: -0.000284 Loss_D_real: -0.009173 Loss_D_fake 0.010574
[1216/5000][135/535][125413] Loss_D: -0.020317 Loss_G: 0.026929 Loss_D_real: -0.029277 Loss_D_fake -0.008960
[1216/5000][140/535][125414] Loss_D: -0.020476 Loss_G: 0.004761 Loss_D_real: -0.009448 Loss_D_fake 0.011028
[1216/5000][145/535][125415] Loss_D: -0.020792 Loss_G: 0.021652 Loss_D_real: -0.018038 Loss_D_fake 0.002754
[1216/5000][150/535][125416] Loss_D: -0.019915 Loss_G: -0.010949 Loss_D_real: -0.013174 Loss_D_fake 0.006741
[1216/5000][155/535][125417] Loss_D: -0.020829 Loss_G: 0.009308 Loss_D_real: -0.020005 Loss_D_fake 0.000824
[1216/5000][160/535][125418] Loss_D: -0.019219 Loss_G: 0.024279 Loss_D_real: -0.027626 Loss_D_fake -0.008407
[1216/5000][165/535][125419] Loss_D: -0.019982 Loss_G: 0.001503 Loss_D_real: -0.012753 Loss_D_fake 0.007229
[1216/5000][170/535][125420] Loss_D: -0.019421 Loss_G: 0.011347 Loss_D_real: -0.025433 Loss_D_fake -0.006013
[1216/5000][175/535][125421] Loss_D: -0.021990 Loss_G: 0.004964 Loss_D_real: -0.009061 Loss_D_fake 0.012929
[1216/5000][180/535][125422] Loss_D: -0.020680 Loss_G: 0.012181 Loss_D_real: -0.024373 Loss_D_fake -0.003693
[1216/5000][185/535][125423] Loss_D: -0.021957 Loss_G: 0.004735 Loss_D_real: -0.014830 Loss_D_fake 0.007127
[1216/5000][190/535][125424] Loss_D: -0.020865 Loss_G: 0.004710 Loss_D_real: -0.018517 Loss_D_fake 0.002348
[1216/5000][195/535][125425] Loss_D: -0.019989 Loss_G: 0.028259 Loss_D_real: -0.029300 Loss_D_fake -0.009311
[1216/5000][200/535][125426] Loss_D: -0.018559 Loss_G: 0.007396 Loss_D_real: -0.006852 Loss_D_fake 0.011707
[1216/5000][205/535][125427] Loss_D: -0.020558 Loss_G: 0.011330 Loss_D_real: -0.020657 Loss_D_fake -0.000100
[1216/5000][210/535][125428] Loss_D: -0.020060 Loss_G: -0.012395 Loss_D_real: -0.009608 Loss_D_fake 0.010452
[1216/5000][215/535][125429] Loss_D: -0.019817 Loss_G: -0.000887 Loss_D_real: -0.017387 Loss_D_fake 0.002429
[1216/5000][220/535][125430] Loss_D: -0.019644 Loss_G: 0.023391 Loss_D_real: -0.029140 Loss_D_fake -0.009496
[1216/5000][225/535][125431] Loss_D: -0.020547 Loss_G: 0.013021 Loss_D_real: -0.013164 Loss_D_fake 0.007383
[1216/5000][230/535][125432] Loss_D: -0.020617 Loss_G: -0.001899 Loss_D_real: -0.019484 Loss_D_fake 0.001133
[1216/5000][235/535][125433] Loss_D: -0.020106 Loss_G: 0.016552 Loss_D_real: -0.018196 Loss_D_fake 0.001910
[1216/5000][240/535][125434] Loss_D: -0.020436 Loss_G: -0.001093 Loss_D_real: -0.014748 Loss_D_fake 0.005689
[1216/5000][245/535][125435] Loss_D: -0.020105 Loss_G: 0.013932 Loss_D_real: -0.018494 Loss_D_fake 0.001611
[1216/5000][250/535][125436] Loss_D: -0.019721 Loss_G: 0.028659 Loss_D_real: -0.021806 Loss_D_fake -0.002084
[1216/5000][255/535][125437] Loss_D: -0.019699 Loss_G: 0.014777 Loss_D_real: -0.015735 Loss_D_fake 0.003964
[1216/5000][260/535][125438] Loss_D: -0.019273 Loss_G: -0.012403 Loss_D_real: -0.014391 Loss_D_fake 0.004882
[1216/5000][265/535][125439] Loss_D: -0.019382 Loss_G: 0.002952 Loss_D_real: -0.014424 Loss_D_fake 0.004958
[1216/5000][270/535][125440] Loss_D: -0.019798 Loss_G: 0.001383 Loss_D_real: -0.018041 Loss_D_fake 0.001757
[1216/5000][275/535][125441] Loss_D: -0.019917 Loss_G: 0.010841 Loss_D_real: -0.019374 Loss_D_fake 0.000543
[1216/5000][280/535][125442] Loss_D: -0.019589 Loss_G: -0.002981 Loss_D_real: -0.014662 Loss_D_fake 0.004927
[1216/5000][285/535][125443] Loss_D: -0.020085 Loss_G: 0.021044 Loss_D_real: -0.031077 Loss_D_fake -0.010993
[1216/5000][290/535][125444] Loss_D: -0.019664 Loss_G: 0.005404 Loss_D_real: 0.002350 Loss_D_fake 0.022014
[1216/5000][295/535][125445] Loss_D: -0.021553 Loss_G: -0.002111 Loss_D_real: -0.010208 Loss_D_fake 0.011346
[1216/5000][300/535][125446] Loss_D: -0.020529 Loss_G: 0.014456 Loss_D_real: -0.022686 Loss_D_fake -0.002157
[1216/5000][305/535][125447] Loss_D: -0.020183 Loss_G: 0.028145 Loss_D_real: -0.027067 Loss_D_fake -0.006885
[1216/5000][310/535][125448] Loss_D: -0.022209 Loss_G: -0.005864 Loss_D_real: -0.010009 Loss_D_fake 0.012200
[1216/5000][315/535][125449] Loss_D: -0.019075 Loss_G: 0.011684 Loss_D_real: -0.025009 Loss_D_fake -0.005934
[1216/5000][320/535][125450] Loss_D: -0.020965 Loss_G: -0.009898 Loss_D_real: -0.008390 Loss_D_fake 0.012575
[1216/5000][325/535][125451] Loss_D: -0.018721 Loss_G: -0.010222 Loss_D_real: -0.012767 Loss_D_fake 0.005954
[1216/5000][330/535][125452] Loss_D: -0.019491 Loss_G: -0.004668 Loss_D_real: -0.006614 Loss_D_fake 0.012877
[1216/5000][335/535][125453] Loss_D: -0.020697 Loss_G: 0.017185 Loss_D_real: -0.022329 Loss_D_fake -0.001632
[1216/5000][340/535][125454] Loss_D: -0.019520 Loss_G: 0.003148 Loss_D_real: -0.002849 Loss_D_fake 0.016671
[1216/5000][345/535][125455] Loss_D: -0.020261 Loss_G: 0.001410 Loss_D_real: -0.005494 Loss_D_fake 0.014767
[1216/5000][350/535][125456] Loss_D: -0.020893 Loss_G: -0.005482 Loss_D_real: -0.004285 Loss_D_fake 0.016608
[1216/5000][355/535][125457] Loss_D: -0.021470 Loss_G: -0.000484 Loss_D_real: -0.009314 Loss_D_fake 0.012155
[1216/5000][360/535][125458] Loss_D: -0.020957 Loss_G: 0.015111 Loss_D_real: -0.021467 Loss_D_fake -0.000510
[1216/5000][365/535][125459] Loss_D: -0.019966 Loss_G: -0.000428 Loss_D_real: -0.006169 Loss_D_fake 0.013797
[1216/5000][370/535][125460] Loss_D: -0.019418 Loss_G: 0.007352 Loss_D_real: -0.013520 Loss_D_fake 0.005897
[1216/5000][375/535][125461] Loss_D: -0.020654 Loss_G: 0.006976 Loss_D_real: -0.024800 Loss_D_fake -0.004145
[1216/5000][380/535][125462] Loss_D: -0.020306 Loss_G: 0.024725 Loss_D_real: -0.021840 Loss_D_fake -0.001534
[1216/5000][385/535][125463] Loss_D: -0.019978 Loss_G: -0.012295 Loss_D_real: 0.008628 Loss_D_fake 0.028605
[1216/5000][390/535][125464] Loss_D: -0.020010 Loss_G: -0.000962 Loss_D_real: -0.019119 Loss_D_fake 0.000891
[1216/5000][395/535][125465] Loss_D: -0.021145 Loss_G: 0.005508 Loss_D_real: -0.007275 Loss_D_fake 0.013870
[1216/5000][400/535][125466] Loss_D: -0.020717 Loss_G: 0.019682 Loss_D_real: -0.020523 Loss_D_fake 0.000194
[1216/5000][405/535][125467] Loss_D: -0.019948 Loss_G: 0.010109 Loss_D_real: -0.012487 Loss_D_fake 0.007461
[1216/5000][410/535][125468] Loss_D: -0.019045 Loss_G: -0.001408 Loss_D_real: -0.008856 Loss_D_fake 0.010190
[1216/5000][415/535][125469] Loss_D: -0.020090 Loss_G: -0.004116 Loss_D_real: -0.006044 Loss_D_fake 0.014046
[1216/5000][420/535][125470] Loss_D: -0.020368 Loss_G: 0.001831 Loss_D_real: -0.017723 Loss_D_fake 0.002645
[1216/5000][425/535][125471] Loss_D: -0.021282 Loss_G: 0.004781 Loss_D_real: -0.009178 Loss_D_fake 0.012104
[1216/5000][430/535][125472] Loss_D: -0.019212 Loss_G: 0.007631 Loss_D_real: -0.015340 Loss_D_fake 0.003871
[1216/5000][435/535][125473] Loss_D: -0.020891 Loss_G: 0.006554 Loss_D_real: -0.016872 Loss_D_fake 0.004020
[1216/5000][440/535][125474] Loss_D: -0.019822 Loss_G: 0.015937 Loss_D_real: -0.020755 Loss_D_fake -0.000934
[1216/5000][445/535][125475] Loss_D: -0.019760 Loss_G: -0.002743 Loss_D_real: -0.007478 Loss_D_fake 0.012282
[1216/5000][450/535][125476] Loss_D: -0.019600 Loss_G: -0.003708 Loss_D_real: -0.007352 Loss_D_fake 0.012248
[1216/5000][455/535][125477] Loss_D: -0.019641 Loss_G: 0.004851 Loss_D_real: -0.019873 Loss_D_fake -0.000232
[1216/5000][460/535][125478] Loss_D: -0.020874 Loss_G: 0.016745 Loss_D_real: -0.029191 Loss_D_fake -0.008317
[1216/5000][465/535][125479] Loss_D: -0.020485 Loss_G: 0.012875 Loss_D_real: -0.038485 Loss_D_fake -0.018001
[1216/5000][470/535][125480] Loss_D: -0.020987 Loss_G: -0.002582 Loss_D_real: -0.011867 Loss_D_fake 0.009120
[1216/5000][475/535][125481] Loss_D: -0.019114 Loss_G: 0.024979 Loss_D_real: -0.035778 Loss_D_fake -0.016664
[1216/5000][480/535][125482] Loss_D: -0.018935 Loss_G: -0.017561 Loss_D_real: 0.007897 Loss_D_fake 0.026831
[1216/5000][485/535][125483] Loss_D: -0.019981 Loss_G: 0.000186 Loss_D_real: -0.013604 Loss_D_fake 0.006377
[1216/5000][490/535][125484] Loss_D: -0.019471 Loss_G: 0.008465 Loss_D_real: -0.023141 Loss_D_fake -0.003671
[1216/5000][495/535][125485] Loss_D: -0.022486 Loss_G: 0.003037 Loss_D_real: -0.013267 Loss_D_fake 0.009219
[1216/5000][500/535][125486] Loss_D: -0.019971 Loss_G: 0.020133 Loss_D_real: -0.022910 Loss_D_fake -0.002938
[1216/5000][505/535][125487] Loss_D: -0.022627 Loss_G: -0.000202 Loss_D_real: -0.010572 Loss_D_fake 0.012055
[1216/5000][510/535][125488] Loss_D: -0.020455 Loss_G: 0.017902 Loss_D_real: -0.021169 Loss_D_fake -0.000714
[1216/5000][515/535][125489] Loss_D: -0.021027 Loss_G: 0.000116 Loss_D_real: -0.017078 Loss_D_fake 0.003949
[1216/5000][520/535][125490] Loss_D: -0.020065 Loss_G: 0.006310 Loss_D_real: -0.013607 Loss_D_fake 0.006458
[1216/5000][525/535][125491] Loss_D: -0.019850 Loss_G: -0.006498 Loss_D_real: 0.003767 Loss_D_fake 0.023617
[1216/5000][530/535][125492] Loss_D: -0.019361 Loss_G: -0.007980 Loss_D_real: 0.007185 Loss_D_fake 0.026546
[1216/5000][535/535][125493] Loss_D: -0.021309 Loss_G: 0.004263 Loss_D_real: -0.022011 Loss_D_fake -0.000702
[1217/5000][5/535][125494] Loss_D: -0.020793 Loss_G: -0.002080 Loss_D_real: -0.013489 Loss_D_fake 0.007305
[1217/5000][10/535][125495] Loss_D: -0.020513 Loss_G: 0.013359 Loss_D_real: -0.014978 Loss_D_fake 0.005536
[1217/5000][15/535][125496] Loss_D: -0.019390 Loss_G: 0.020491 Loss_D_real: -0.026572 Loss_D_fake -0.007182
[1217/5000][20/535][125497] Loss_D: -0.021116 Loss_G: 0.010754 Loss_D_real: -0.015876 Loss_D_fake 0.005240
[1217/5000][25/535][125498] Loss_D: -0.019150 Loss_G: 0.006510 Loss_D_real: -0.021995 Loss_D_fake -0.002845
[1217/5000][30/535][125499] Loss_D: -0.019973 Loss_G: 0.014319 Loss_D_real: -0.021456 Loss_D_fake -0.001483
[1217/5000][35/535][125500] Loss_D: -0.020195 Loss_G: 0.013464 Loss_D_real: -0.026253 Loss_D_fake -0.006058
[1217/5000][135/535][125501] Loss_D: -0.022347 Loss_G: 0.015384 Loss_D_real: -0.032864 Loss_D_fake -0.010517
[1217/5000][140/535][125502] Loss_D: -0.018417 Loss_G: -0.007029 Loss_D_real: -0.008328 Loss_D_fake 0.010088
[1217/5000][145/535][125503] Loss_D: -0.020927 Loss_G: 0.017721 Loss_D_real: -0.022425 Loss_D_fake -0.001499
[1217/5000][150/535][125504] Loss_D: -0.018715 Loss_G: -0.001660 Loss_D_real: -0.014626 Loss_D_fake 0.004089
[1217/5000][155/535][125505] Loss_D: -0.018194 Loss_G: 0.024381 Loss_D_real: -0.020428 Loss_D_fake -0.002234
[1217/5000][160/535][125506] Loss_D: -0.018682 Loss_G: 0.005188 Loss_D_real: -0.015856 Loss_D_fake 0.002825
[1217/5000][165/535][125507] Loss_D: -0.020630 Loss_G: 0.000917 Loss_D_real: -0.012060 Loss_D_fake 0.008570
[1217/5000][170/535][125508] Loss_D: -0.019313 Loss_G: -0.002103 Loss_D_real: -0.021234 Loss_D_fake -0.001922
[1217/5000][175/535][125509] Loss_D: -0.019488 Loss_G: 0.006494 Loss_D_real: -0.004294 Loss_D_fake 0.015194
[1217/5000][180/535][125510] Loss_D: -0.020039 Loss_G: 0.010264 Loss_D_real: -0.025152 Loss_D_fake -0.005113
[1217/5000][185/535][125511] Loss_D: -0.020119 Loss_G: 0.006052 Loss_D_real: -0.011240 Loss_D_fake 0.008879
[1217/5000][190/535][125512] Loss_D: -0.018880 Loss_G: 0.012111 Loss_D_real: -0.016688 Loss_D_fake 0.002192
[1217/5000][195/535][125513] Loss_D: -0.019836 Loss_G: 0.016647 Loss_D_real: -0.025516 Loss_D_fake -0.005680
[1217/5000][200/535][125514] Loss_D: -0.020410 Loss_G: 0.000213 Loss_D_real: -0.019873 Loss_D_fake 0.000537
[1217/5000][205/535][125515] Loss_D: -0.021382 Loss_G: 0.010879 Loss_D_real: -0.018946 Loss_D_fake 0.002436
[1217/5000][210/535][125516] Loss_D: -0.020280 Loss_G: 0.009863 Loss_D_real: -0.019859 Loss_D_fake 0.000422
[1217/5000][215/535][125517] Loss_D: -0.019676 Loss_G: 0.012277 Loss_D_real: -0.011252 Loss_D_fake 0.008424
[1217/5000][220/535][125518] Loss_D: -0.019934 Loss_G: 0.003676 Loss_D_real: -0.003068 Loss_D_fake 0.016866
[1217/5000][225/535][125519] Loss_D: -0.020154 Loss_G: -0.001827 Loss_D_real: -0.008659 Loss_D_fake 0.011495
[1217/5000][230/535][125520] Loss_D: -0.019165 Loss_G: 0.006640 Loss_D_real: -0.013887 Loss_D_fake 0.005278
[1217/5000][235/535][125521] Loss_D: -0.020136 Loss_G: -0.005719 Loss_D_real: 0.000513 Loss_D_fake 0.020649
[1217/5000][240/535][125522] Loss_D: -0.019589 Loss_G: 0.006599 Loss_D_real: -0.009001 Loss_D_fake 0.010587
[1217/5000][245/535][125523] Loss_D: -0.016919 Loss_G: 0.026530 Loss_D_real: -0.030658 Loss_D_fake -0.013739
[1217/5000][250/535][125524] Loss_D: -0.019817 Loss_G: -0.005585 Loss_D_real: -0.012065 Loss_D_fake 0.007752
[1217/5000][255/535][125525] Loss_D: -0.021091 Loss_G: 0.003377 Loss_D_real: -0.026371 Loss_D_fake -0.005280
[1217/5000][260/535][125526] Loss_D: -0.020888 Loss_G: 0.024998 Loss_D_real: -0.026617 Loss_D_fake -0.005730
[1217/5000][265/535][125527] Loss_D: -0.018796 Loss_G: -0.019776 Loss_D_real: -0.006745 Loss_D_fake 0.012051
[1217/5000][270/535][125528] Loss_D: -0.019241 Loss_G: 0.011272 Loss_D_real: -0.014992 Loss_D_fake 0.004249
[1217/5000][275/535][125529] Loss_D: -0.020323 Loss_G: 0.010029 Loss_D_real: -0.022548 Loss_D_fake -0.002224
[1217/5000][280/535][125530] Loss_D: -0.020713 Loss_G: 0.012701 Loss_D_real: -0.021925 Loss_D_fake -0.001213
[1217/5000][285/535][125531] Loss_D: -0.021730 Loss_G: 0.022558 Loss_D_real: -0.016763 Loss_D_fake 0.004967
[1217/5000][290/535][125532] Loss_D: -0.020618 Loss_G: 0.015379 Loss_D_real: -0.035362 Loss_D_fake -0.014744
[1217/5000][295/535][125533] Loss_D: -0.019877 Loss_G: 0.008199 Loss_D_real: -0.000383 Loss_D_fake 0.019493
[1217/5000][300/535][125534] Loss_D: -0.019717 Loss_G: 0.021417 Loss_D_real: -0.037529 Loss_D_fake -0.017812
[1217/5000][305/535][125535] Loss_D: -0.019969 Loss_G: 0.019547 Loss_D_real: -0.019302 Loss_D_fake 0.000667
[1217/5000][310/535][125536] Loss_D: -0.019434 Loss_G: 0.011514 Loss_D_real: -0.017456 Loss_D_fake 0.001978
[1217/5000][315/535][125537] Loss_D: -0.019377 Loss_G: 0.018221 Loss_D_real: -0.031866 Loss_D_fake -0.012489
[1217/5000][320/535][125538] Loss_D: -0.020579 Loss_G: 0.017007 Loss_D_real: -0.027667 Loss_D_fake -0.007089
[1217/5000][325/535][125539] Loss_D: -0.018976 Loss_G: 0.010644 Loss_D_real: -0.035704 Loss_D_fake -0.016728
[1217/5000][330/535][125540] Loss_D: -0.020944 Loss_G: 0.009535 Loss_D_real: -0.024029 Loss_D_fake -0.003085
[1217/5000][335/535][125541] Loss_D: -0.019084 Loss_G: -0.006750 Loss_D_real: -0.000118 Loss_D_fake 0.018966
[1217/5000][340/535][125542] Loss_D: -0.020826 Loss_G: -0.003375 Loss_D_real: -0.023182 Loss_D_fake -0.002356
[1217/5000][345/535][125543] Loss_D: -0.019276 Loss_G: -0.001537 Loss_D_real: -0.015214 Loss_D_fake 0.004062
[1217/5000][350/535][125544] Loss_D: -0.018931 Loss_G: -0.013526 Loss_D_real: -0.007859 Loss_D_fake 0.011072
[1217/5000][355/535][125545] Loss_D: -0.019709 Loss_G: 0.026675 Loss_D_real: -0.032304 Loss_D_fake -0.012594
[1217/5000][360/535][125546] Loss_D: -0.018763 Loss_G: 0.003294 Loss_D_real: -0.018963 Loss_D_fake -0.000200
[1217/5000][365/535][125547] Loss_D: -0.020410 Loss_G: -0.011669 Loss_D_real: -0.017883 Loss_D_fake 0.002526
[1217/5000][370/535][125548] Loss_D: -0.019960 Loss_G: -0.004398 Loss_D_real: -0.009476 Loss_D_fake 0.010484
[1217/5000][375/535][125549] Loss_D: -0.020697 Loss_G: 0.007899 Loss_D_real: -0.016386 Loss_D_fake 0.004311
[1217/5000][380/535][125550] Loss_D: -0.020247 Loss_G: 0.009094 Loss_D_real: -0.019142 Loss_D_fake 0.001105
[1217/5000][385/535][125551] Loss_D: -0.019961 Loss_G: -0.008936 Loss_D_real: 0.002541 Loss_D_fake 0.022502
[1217/5000][390/535][125552] Loss_D: -0.021142 Loss_G: 0.010856 Loss_D_real: -0.017383 Loss_D_fake 0.003759
[1217/5000][395/535][125553] Loss_D: -0.020584 Loss_G: -0.009728 Loss_D_real: -0.000288 Loss_D_fake 0.020296
[1217/5000][400/535][125554] Loss_D: -0.019768 Loss_G: 0.001330 Loss_D_real: -0.007107 Loss_D_fake 0.012661
[1217/5000][405/535][125555] Loss_D: -0.020040 Loss_G: 0.012008 Loss_D_real: -0.017041 Loss_D_fake 0.002999
[1217/5000][410/535][125556] Loss_D: -0.020166 Loss_G: 0.008257 Loss_D_real: -0.010696 Loss_D_fake 0.009470
[1217/5000][415/535][125557] Loss_D: -0.020571 Loss_G: -0.016182 Loss_D_real: 0.001613 Loss_D_fake 0.022185
[1217/5000][420/535][125558] Loss_D: -0.020367 Loss_G: 0.009887 Loss_D_real: -0.025333 Loss_D_fake -0.004966
[1217/5000][425/535][125559] Loss_D: -0.018604 Loss_G: -0.000207 Loss_D_real: -0.024109 Loss_D_fake -0.005505
[1217/5000][430/535][125560] Loss_D: -0.020591 Loss_G: -0.003179 Loss_D_real: -0.008438 Loss_D_fake 0.012154
[1217/5000][435/535][125561] Loss_D: -0.020740 Loss_G: -0.003034 Loss_D_real: -0.021388 Loss_D_fake -0.000648
[1217/5000][440/535][125562] Loss_D: -0.019450 Loss_G: 0.029573 Loss_D_real: -0.035000 Loss_D_fake -0.015551
[1217/5000][445/535][125563] Loss_D: -0.019615 Loss_G: 0.006380 Loss_D_real: -0.017607 Loss_D_fake 0.002008
[1217/5000][450/535][125564] Loss_D: -0.019781 Loss_G: 0.015260 Loss_D_real: -0.025127 Loss_D_fake -0.005346
[1217/5000][455/535][125565] Loss_D: -0.020621 Loss_G: -0.011785 Loss_D_real: -0.008236 Loss_D_fake 0.012385
[1217/5000][460/535][125566] Loss_D: -0.020531 Loss_G: 0.017810 Loss_D_real: -0.016516 Loss_D_fake 0.004016
[1217/5000][465/535][125567] Loss_D: -0.020083 Loss_G: -0.011702 Loss_D_real: -0.003685 Loss_D_fake 0.016399
[1217/5000][470/535][125568] Loss_D: -0.020436 Loss_G: 0.005956 Loss_D_real: -0.006717 Loss_D_fake 0.013719
[1217/5000][475/535][125569] Loss_D: -0.018754 Loss_G: -0.011384 Loss_D_real: -0.014804 Loss_D_fake 0.003950
[1217/5000][480/535][125570] Loss_D: -0.020035 Loss_G: 0.000661 Loss_D_real: -0.016476 Loss_D_fake 0.003559
[1217/5000][485/535][125571] Loss_D: -0.019625 Loss_G: -0.002094 Loss_D_real: -0.019233 Loss_D_fake 0.000392
[1217/5000][490/535][125572] Loss_D: -0.020373 Loss_G: -0.002621 Loss_D_real: -0.006657 Loss_D_fake 0.013716
[1217/5000][495/535][125573] Loss_D: -0.019676 Loss_G: 0.002482 Loss_D_real: -0.003204 Loss_D_fake 0.016472
[1217/5000][500/535][125574] Loss_D: -0.021167 Loss_G: -0.004907 Loss_D_real: -0.010336 Loss_D_fake 0.010831
[1217/5000][505/535][125575] Loss_D: -0.020569 Loss_G: 0.009364 Loss_D_real: -0.000905 Loss_D_fake 0.019664
[1217/5000][510/535][125576] Loss_D: -0.019226 Loss_G: -0.017686 Loss_D_real: 0.003967 Loss_D_fake 0.023194
[1217/5000][515/535][125577] Loss_D: -0.019587 Loss_G: 0.002547 Loss_D_real: -0.025722 Loss_D_fake -0.006135
[1217/5000][520/535][125578] Loss_D: -0.019147 Loss_G: 0.002997 Loss_D_real: -0.016897 Loss_D_fake 0.002250
[1217/5000][525/535][125579] Loss_D: -0.020170 Loss_G: -0.002375 Loss_D_real: -0.005550 Loss_D_fake 0.014620
[1217/5000][530/535][125580] Loss_D: -0.020201 Loss_G: 0.019554 Loss_D_real: -0.020242 Loss_D_fake -0.000041
[1217/5000][535/535][125581] Loss_D: -0.022257 Loss_G: 0.015322 Loss_D_real: -0.016794 Loss_D_fake 0.005463
[1218/5000][5/535][125582] Loss_D: -0.021105 Loss_G: 0.023856 Loss_D_real: -0.024420 Loss_D_fake -0.003315
[1218/5000][10/535][125583] Loss_D: -0.020128 Loss_G: 0.011304 Loss_D_real: -0.024420 Loss_D_fake -0.004292
[1218/5000][15/535][125584] Loss_D: -0.019794 Loss_G: -0.008464 Loss_D_real: -0.011954 Loss_D_fake 0.007840
[1218/5000][20/535][125585] Loss_D: -0.019442 Loss_G: -0.006901 Loss_D_real: -0.014981 Loss_D_fake 0.004461
[1218/5000][25/535][125586] Loss_D: -0.020144 Loss_G: 0.000064 Loss_D_real: -0.021285 Loss_D_fake -0.001141
[1218/5000][30/535][125587] Loss_D: -0.020564 Loss_G: 0.005868 Loss_D_real: -0.006892 Loss_D_fake 0.013672
[1218/5000][35/535][125588] Loss_D: -0.021009 Loss_G: -0.004127 Loss_D_real: -0.024922 Loss_D_fake -0.003912
[1218/5000][40/535][125589] Loss_D: -0.019644 Loss_G: -0.009668 Loss_D_real: 0.001469 Loss_D_fake 0.021113
[1218/5000][45/535][125590] Loss_D: -0.018935 Loss_G: 0.017479 Loss_D_real: -0.019577 Loss_D_fake -0.000642
[1218/5000][50/535][125591] Loss_D: -0.018574 Loss_G: 0.032750 Loss_D_real: -0.042602 Loss_D_fake -0.024028
[1218/5000][55/535][125592] Loss_D: -0.020307 Loss_G: -0.005831 Loss_D_real: -0.012229 Loss_D_fake 0.008078
[1218/5000][60/535][125593] Loss_D: -0.020621 Loss_G: 0.019832 Loss_D_real: -0.019143 Loss_D_fake 0.001478
[1218/5000][65/535][125594] Loss_D: -0.019464 Loss_G: -0.003431 Loss_D_real: -0.014979 Loss_D_fake 0.004485
[1218/5000][70/535][125595] Loss_D: -0.019630 Loss_G: -0.002989 Loss_D_real: -0.002167 Loss_D_fake 0.017463
[1218/5000][75/535][125596] Loss_D: -0.019488 Loss_G: 0.007264 Loss_D_real: -0.011133 Loss_D_fake 0.008355
[1218/5000][80/535][125597] Loss_D: -0.019003 Loss_G: -0.005133 Loss_D_real: -0.012178 Loss_D_fake 0.006825
[1218/5000][85/535][125598] Loss_D: -0.020686 Loss_G: -0.006256 Loss_D_real: -0.004337 Loss_D_fake 0.016350
[1218/5000][90/535][125599] Loss_D: -0.017721 Loss_G: -0.010152 Loss_D_real: 0.009418 Loss_D_fake 0.027139
[1218/5000][95/535][125600] Loss_D: -0.019438 Loss_G: -0.002992 Loss_D_real: -0.020293 Loss_D_fake -0.000855
[1218/5000][100/535][125601] Loss_D: -0.019889 Loss_G: -0.003033 Loss_D_real: -0.013896 Loss_D_fake 0.005993
[1218/5000][105/535][125602] Loss_D: -0.019801 Loss_G: 0.022112 Loss_D_real: -0.026805 Loss_D_fake -0.007004
[1218/5000][110/535][125603] Loss_D: -0.019402 Loss_G: -0.013168 Loss_D_real: -0.007341 Loss_D_fake 0.012060
[1218/5000][115/535][125604] Loss_D: -0.020077 Loss_G: 0.014287 Loss_D_real: -0.023219 Loss_D_fake -0.003142
[1218/5000][120/535][125605] Loss_D: -0.020714 Loss_G: 0.008754 Loss_D_real: -0.015067 Loss_D_fake 0.005647
[1218/5000][125/535][125606] Loss_D: -0.020313 Loss_G: 0.018052 Loss_D_real: -0.015991 Loss_D_fake 0.004322
[1218/5000][130/535][125607] Loss_D: -0.019832 Loss_G: 0.000293 Loss_D_real: -0.009720 Loss_D_fake 0.010112
[1218/5000][135/535][125608] Loss_D: -0.020156 Loss_G: 0.023090 Loss_D_real: -0.022064 Loss_D_fake -0.001909
[1218/5000][140/535][125609] Loss_D: -0.019597 Loss_G: -0.013785 Loss_D_real: -0.012505 Loss_D_fake 0.007092
[1218/5000][145/535][125610] Loss_D: -0.018555 Loss_G: 0.009694 Loss_D_real: -0.021639 Loss_D_fake -0.003084
[1218/5000][150/535][125611] Loss_D: -0.020643 Loss_G: 0.006751 Loss_D_real: -0.005555 Loss_D_fake 0.015088
[1218/5000][155/535][125612] Loss_D: -0.019418 Loss_G: -0.008658 Loss_D_real: -0.009130 Loss_D_fake 0.010288
[1218/5000][160/535][125613] Loss_D: -0.020352 Loss_G: 0.017371 Loss_D_real: -0.024075 Loss_D_fake -0.003723
[1218/5000][165/535][125614] Loss_D: -0.020412 Loss_G: 0.010414 Loss_D_real: -0.021394 Loss_D_fake -0.000982
[1218/5000][170/535][125615] Loss_D: -0.020147 Loss_G: 0.010697 Loss_D_real: -0.015315 Loss_D_fake 0.004832
[1218/5000][175/535][125616] Loss_D: -0.020422 Loss_G: 0.009492 Loss_D_real: -0.021756 Loss_D_fake -0.001334
[1218/5000][180/535][125617] Loss_D: -0.020097 Loss_G: 0.019627 Loss_D_real: -0.014386 Loss_D_fake 0.005711
[1218/5000][185/535][125618] Loss_D: -0.019286 Loss_G: 0.026197 Loss_D_real: -0.030634 Loss_D_fake -0.011348
[1218/5000][190/535][125619] Loss_D: -0.021003 Loss_G: 0.001283 Loss_D_real: -0.024269 Loss_D_fake -0.003266
[1218/5000][195/535][125620] Loss_D: -0.019892 Loss_G: 0.020441 Loss_D_real: -0.034044 Loss_D_fake -0.014152
[1218/5000][200/535][125621] Loss_D: -0.020990 Loss_G: 0.009654 Loss_D_real: -0.017087 Loss_D_fake 0.003903
[1218/5000][205/535][125622] Loss_D: -0.019919 Loss_G: -0.006520 Loss_D_real: -0.005343 Loss_D_fake 0.014576
[1218/5000][210/535][125623] Loss_D: -0.019863 Loss_G: -0.001832 Loss_D_real: -0.001519 Loss_D_fake 0.018344
[1218/5000][215/535][125624] Loss_D: -0.019633 Loss_G: 0.004900 Loss_D_real: -0.017221 Loss_D_fake 0.002412
[1218/5000][220/535][125625] Loss_D: -0.018403 Loss_G: 0.014061 Loss_D_real: -0.033170 Loss_D_fake -0.014767
[1218/5000][225/535][125626] Loss_D: -0.019432 Loss_G: 0.009988 Loss_D_real: -0.023279 Loss_D_fake -0.003846
[1218/5000][230/535][125627] Loss_D: -0.021002 Loss_G: 0.002964 Loss_D_real: -0.002608 Loss_D_fake 0.018394
[1218/5000][235/535][125628] Loss_D: -0.020689 Loss_G: -0.002970 Loss_D_real: -0.017336 Loss_D_fake 0.003353
[1218/5000][240/535][125629] Loss_D: -0.020265 Loss_G: 0.001978 Loss_D_real: -0.007472 Loss_D_fake 0.012793
[1218/5000][245/535][125630] Loss_D: -0.020358 Loss_G: 0.003858 Loss_D_real: -0.016931 Loss_D_fake 0.003427
[1218/5000][250/535][125631] Loss_D: -0.019289 Loss_G: 0.003968 Loss_D_real: -0.012883 Loss_D_fake 0.006406
[1218/5000][255/535][125632] Loss_D: -0.020234 Loss_G: -0.002757 Loss_D_real: -0.026187 Loss_D_fake -0.005952
[1218/5000][260/535][125633] Loss_D: -0.019589 Loss_G: 0.009316 Loss_D_real: -0.015338 Loss_D_fake 0.004251
[1218/5000][265/535][125634] Loss_D: -0.020486 Loss_G: 0.004781 Loss_D_real: -0.012268 Loss_D_fake 0.008217
[1218/5000][270/535][125635] Loss_D: -0.019999 Loss_G: -0.002112 Loss_D_real: -0.016316 Loss_D_fake 0.003683
[1218/5000][275/535][125636] Loss_D: -0.020641 Loss_G: 0.008590 Loss_D_real: -0.023297 Loss_D_fake -0.002656
[1218/5000][280/535][125637] Loss_D: -0.020930 Loss_G: -0.015176 Loss_D_real: -0.006140 Loss_D_fake 0.014790
[1218/5000][285/535][125638] Loss_D: -0.019999 Loss_G: 0.019349 Loss_D_real: -0.012665 Loss_D_fake 0.007334
[1218/5000][290/535][125639] Loss_D: -0.020549 Loss_G: 0.019694 Loss_D_real: -0.035202 Loss_D_fake -0.014653
[1218/5000][295/535][125640] Loss_D: -0.021189 Loss_G: -0.000179 Loss_D_real: -0.013091 Loss_D_fake 0.008098
[1218/5000][300/535][125641] Loss_D: -0.020976 Loss_G: 0.012204 Loss_D_real: -0.021010 Loss_D_fake -0.000035
[1218/5000][305/535][125642] Loss_D: -0.019696 Loss_G: -0.004186 Loss_D_real: -0.007781 Loss_D_fake 0.011915
[1218/5000][310/535][125643] Loss_D: -0.019492 Loss_G: 0.002562 Loss_D_real: -0.015077 Loss_D_fake 0.004415
[1218/5000][315/535][125644] Loss_D: -0.019860 Loss_G: -0.014235 Loss_D_real: -0.008311 Loss_D_fake 0.011549
[1218/5000][320/535][125645] Loss_D: -0.021262 Loss_G: 0.012869 Loss_D_real: -0.009061 Loss_D_fake 0.012201
[1218/5000][325/535][125646] Loss_D: -0.020295 Loss_G: 0.020812 Loss_D_real: -0.017005 Loss_D_fake 0.003291
[1218/5000][330/535][125647] Loss_D: -0.019524 Loss_G: -0.006763 Loss_D_real: 0.001345 Loss_D_fake 0.020869
[1218/5000][335/535][125648] Loss_D: -0.020404 Loss_G: -0.003402 Loss_D_real: -0.020447 Loss_D_fake -0.000043
[1218/5000][340/535][125649] Loss_D: -0.020865 Loss_G: -0.003209 Loss_D_real: -0.008700 Loss_D_fake 0.012165
[1218/5000][345/535][125650] Loss_D: -0.018545 Loss_G: 0.029332 Loss_D_real: -0.032887 Loss_D_fake -0.014342
[1218/5000][350/535][125651] Loss_D: -0.020019 Loss_G: 0.014620 Loss_D_real: -0.020876 Loss_D_fake -0.000857
[1218/5000][355/535][125652] Loss_D: -0.020825 Loss_G: 0.000606 Loss_D_real: -0.024985 Loss_D_fake -0.004160
[1218/5000][360/535][125653] Loss_D: -0.019399 Loss_G: -0.014243 Loss_D_real: -0.001463 Loss_D_fake 0.017936
[1218/5000][365/535][125654] Loss_D: -0.020265 Loss_G: 0.004057 Loss_D_real: -0.013320 Loss_D_fake 0.006946
[1218/5000][370/535][125655] Loss_D: -0.020270 Loss_G: -0.000851 Loss_D_real: -0.014244 Loss_D_fake 0.006027
[1218/5000][375/535][125656] Loss_D: -0.019691 Loss_G: -0.004267 Loss_D_real: -0.000299 Loss_D_fake 0.019391
[1218/5000][380/535][125657] Loss_D: -0.019992 Loss_G: 0.002918 Loss_D_real: -0.024971 Loss_D_fake -0.004978
[1218/5000][385/535][125658] Loss_D: -0.020707 Loss_G: 0.005372 Loss_D_real: -0.024373 Loss_D_fake -0.003666
[1218/5000][390/535][125659] Loss_D: -0.020900 Loss_G: 0.014603 Loss_D_real: -0.017505 Loss_D_fake 0.003395
[1218/5000][395/535][125660] Loss_D: -0.019807 Loss_G: -0.001846 Loss_D_real: -0.031001 Loss_D_fake -0.011195
[1218/5000][400/535][125661] Loss_D: -0.020715 Loss_G: 0.011517 Loss_D_real: -0.015372 Loss_D_fake 0.005343
[1218/5000][405/535][125662] Loss_D: -0.020520 Loss_G: 0.000893 Loss_D_real: -0.014478 Loss_D_fake 0.006042
[1218/5000][410/535][125663] Loss_D: -0.020875 Loss_G: 0.013365 Loss_D_real: -0.013073 Loss_D_fake 0.007802
[1218/5000][415/535][125664] Loss_D: -0.020987 Loss_G: 0.012272 Loss_D_real: -0.025849 Loss_D_fake -0.004862
[1218/5000][420/535][125665] Loss_D: -0.020936 Loss_G: 0.017238 Loss_D_real: -0.027041 Loss_D_fake -0.006105
[1218/5000][425/535][125666] Loss_D: -0.020508 Loss_G: 0.014527 Loss_D_real: -0.022661 Loss_D_fake -0.002153
[1218/5000][430/535][125667] Loss_D: -0.020444 Loss_G: -0.010210 Loss_D_real: -0.001969 Loss_D_fake 0.018475
[1218/5000][435/535][125668] Loss_D: -0.020442 Loss_G: -0.005711 Loss_D_real: -0.014370 Loss_D_fake 0.006073
[1218/5000][440/535][125669] Loss_D: -0.020412 Loss_G: 0.010850 Loss_D_real: -0.019757 Loss_D_fake 0.000655
[1218/5000][445/535][125670] Loss_D: -0.019938 Loss_G: -0.021457 Loss_D_real: 0.000348 Loss_D_fake 0.020286
[1218/5000][450/535][125671] Loss_D: -0.019637 Loss_G: -0.001628 Loss_D_real: -0.014139 Loss_D_fake 0.005498
[1218/5000][455/535][125672] Loss_D: -0.019418 Loss_G: -0.006612 Loss_D_real: -0.001539 Loss_D_fake 0.017879
[1218/5000][460/535][125673] Loss_D: -0.019557 Loss_G: 0.012478 Loss_D_real: -0.021633 Loss_D_fake -0.002076
[1218/5000][465/535][125674] Loss_D: -0.021198 Loss_G: -0.001743 Loss_D_real: -0.017160 Loss_D_fake 0.004038
[1218/5000][470/535][125675] Loss_D: -0.020870 Loss_G: 0.012038 Loss_D_real: -0.033314 Loss_D_fake -0.012444
[1218/5000][475/535][125676] Loss_D: -0.020945 Loss_G: -0.001204 Loss_D_real: -0.022531 Loss_D_fake -0.001587
[1218/5000][480/535][125677] Loss_D: -0.019442 Loss_G: 0.021536 Loss_D_real: -0.023054 Loss_D_fake -0.003613
[1218/5000][485/535][125678] Loss_D: -0.019479 Loss_G: 0.012747 Loss_D_real: -0.027001 Loss_D_fake -0.007522
[1218/5000][490/535][125679] Loss_D: -0.020290 Loss_G: 0.013839 Loss_D_real: -0.015783 Loss_D_fake 0.004507
[1218/5000][495/535][125680] Loss_D: -0.018043 Loss_G: 0.026517 Loss_D_real: -0.025209 Loss_D_fake -0.007166
[1218/5000][500/535][125681] Loss_D: -0.020658 Loss_G: 0.014866 Loss_D_real: -0.027211 Loss_D_fake -0.006553
[1218/5000][505/535][125682] Loss_D: -0.019762 Loss_G: 0.014823 Loss_D_real: -0.030622 Loss_D_fake -0.010860
[1218/5000][510/535][125683] Loss_D: -0.021714 Loss_G: -0.005801 Loss_D_real: -0.012357 Loss_D_fake 0.009358
[1218/5000][515/535][125684] Loss_D: -0.019655 Loss_G: 0.009376 Loss_D_real: -0.030226 Loss_D_fake -0.010571
[1218/5000][520/535][125685] Loss_D: -0.020091 Loss_G: 0.008043 Loss_D_real: -0.025434 Loss_D_fake -0.005343
[1218/5000][525/535][125686] Loss_D: -0.020550 Loss_G: 0.002833 Loss_D_real: -0.014438 Loss_D_fake 0.006112
[1218/5000][530/535][125687] Loss_D: -0.020406 Loss_G: -0.011676 Loss_D_real: -0.003990 Loss_D_fake 0.016416
[1218/5000][535/535][125688] Loss_D: -0.021494 Loss_G: -0.012317 Loss_D_real: -0.010724 Loss_D_fake 0.010770
[1219/5000][5/535][125689] Loss_D: -0.021465 Loss_G: 0.010466 Loss_D_real: -0.018137 Loss_D_fake 0.003328
[1219/5000][10/535][125690] Loss_D: -0.019644 Loss_G: -0.030015 Loss_D_real: -0.004852 Loss_D_fake 0.014792
[1219/5000][15/535][125691] Loss_D: -0.021816 Loss_G: 0.015117 Loss_D_real: -0.007352 Loss_D_fake 0.014463
[1219/5000][20/535][125692] Loss_D: -0.020359 Loss_G: 0.017766 Loss_D_real: -0.032502 Loss_D_fake -0.012144
[1219/5000][25/535][125693] Loss_D: -0.020394 Loss_G: -0.005927 Loss_D_real: -0.001658 Loss_D_fake 0.018736
[1219/5000][30/535][125694] Loss_D: -0.021042 Loss_G: 0.019374 Loss_D_real: -0.013624 Loss_D_fake 0.007419
[1219/5000][35/535][125695] Loss_D: -0.019692 Loss_G: -0.003271 Loss_D_real: -0.015894 Loss_D_fake 0.003798
[1219/5000][40/535][125696] Loss_D: -0.019873 Loss_G: 0.022064 Loss_D_real: -0.023314 Loss_D_fake -0.003441
[1219/5000][45/535][125697] Loss_D: -0.019954 Loss_G: 0.017849 Loss_D_real: -0.030996 Loss_D_fake -0.011042
[1219/5000][50/535][125698] Loss_D: -0.019202 Loss_G: 0.023032 Loss_D_real: -0.027761 Loss_D_fake -0.008558
[1219/5000][55/535][125699] Loss_D: -0.021308 Loss_G: 0.000177 Loss_D_real: -0.015237 Loss_D_fake 0.006070
[1219/5000][60/535][125700] Loss_D: -0.020254 Loss_G: -0.009720 Loss_D_real: -0.009362 Loss_D_fake 0.010893
[1219/5000][65/535][125701] Loss_D: -0.020972 Loss_G: -0.003190 Loss_D_real: -0.016795 Loss_D_fake 0.004177
[1219/5000][70/535][125702] Loss_D: -0.020251 Loss_G: 0.016746 Loss_D_real: -0.019522 Loss_D_fake 0.000729
[1219/5000][75/535][125703] Loss_D: -0.020975 Loss_G: 0.000358 Loss_D_real: -0.017111 Loss_D_fake 0.003864
[1219/5000][80/535][125704] Loss_D: -0.020024 Loss_G: -0.001505 Loss_D_real: 0.002862 Loss_D_fake 0.022886
[1219/5000][85/535][125705] Loss_D: -0.021635 Loss_G: 0.023346 Loss_D_real: -0.024940 Loss_D_fake -0.003305
[1219/5000][90/535][125706] Loss_D: -0.020186 Loss_G: 0.006682 Loss_D_real: -0.014788 Loss_D_fake 0.005398
[1219/5000][95/535][125707] Loss_D: -0.018953 Loss_G: 0.010635 Loss_D_real: -0.021814 Loss_D_fake -0.002861
[1219/5000][100/535][125708] Loss_D: -0.021085 Loss_G: -0.003284 Loss_D_real: -0.004850 Loss_D_fake 0.016235
[1219/5000][105/535][125709] Loss_D: -0.019906 Loss_G: 0.013855 Loss_D_real: -0.022773 Loss_D_fake -0.002867
[1219/5000][110/535][125710] Loss_D: -0.019297 Loss_G: -0.002666 Loss_D_real: -0.004958 Loss_D_fake 0.014340
[1219/5000][115/535][125711] Loss_D: -0.019601 Loss_G: 0.015256 Loss_D_real: -0.017408 Loss_D_fake 0.002192
[1219/5000][120/535][125712] Loss_D: -0.019583 Loss_G: 0.017783 Loss_D_real: -0.015041 Loss_D_fake 0.004542
[1219/5000][125/535][125713] Loss_D: -0.020166 Loss_G: 0.013519 Loss_D_real: -0.017827 Loss_D_fake 0.002339
[1219/5000][130/535][125714] Loss_D: -0.019844 Loss_G: -0.010097 Loss_D_real: 0.004211 Loss_D_fake 0.024055
[1219/5000][135/535][125715] Loss_D: -0.020707 Loss_G: 0.002862 Loss_D_real: -0.021882 Loss_D_fake -0.001175
[1219/5000][140/535][125716] Loss_D: -0.020332 Loss_G: 0.006053 Loss_D_real: -0.020066 Loss_D_fake 0.000266
[1219/5000][145/535][125717] Loss_D: -0.019053 Loss_G: 0.021131 Loss_D_real: -0.023731 Loss_D_fake -0.004679
[1219/5000][150/535][125718] Loss_D: -0.021188 Loss_G: -0.005726 Loss_D_real: -0.010599 Loss_D_fake 0.010589
[1219/5000][155/535][125719] Loss_D: -0.020493 Loss_G: 0.008137 Loss_D_real: -0.015004 Loss_D_fake 0.005489
[1219/5000][160/535][125720] Loss_D: -0.020752 Loss_G: 0.006952 Loss_D_real: -0.026296 Loss_D_fake -0.005544
[1219/5000][165/535][125721] Loss_D: -0.020727 Loss_G: 0.016892 Loss_D_real: -0.016633 Loss_D_fake 0.004093
[1219/5000][170/535][125722] Loss_D: -0.018648 Loss_G: 0.027517 Loss_D_real: -0.035064 Loss_D_fake -0.016416
[1219/5000][175/535][125723] Loss_D: -0.020016 Loss_G: -0.000726 Loss_D_real: -0.011291 Loss_D_fake 0.008725
[1219/5000][180/535][125724] Loss_D: -0.019213 Loss_G: 0.011618 Loss_D_real: -0.025547 Loss_D_fake -0.006334
[1219/5000][185/535][125725] Loss_D: -0.019082 Loss_G: 0.016165 Loss_D_real: -0.023549 Loss_D_fake -0.004467
[1219/5000][190/535][125726] Loss_D: -0.020785 Loss_G: -0.005707 Loss_D_real: -0.005724 Loss_D_fake 0.015061
[1219/5000][195/535][125727] Loss_D: -0.021327 Loss_G: 0.018008 Loss_D_real: -0.021691 Loss_D_fake -0.000364
[1219/5000][200/535][125728] Loss_D: -0.020898 Loss_G: 0.002725 Loss_D_real: -0.016952 Loss_D_fake 0.003946
[1219/5000][205/535][125729] Loss_D: -0.020881 Loss_G: 0.014968 Loss_D_real: -0.023475 Loss_D_fake -0.002595
[1219/5000][210/535][125730] Loss_D: -0.021043 Loss_G: 0.010937 Loss_D_real: -0.013935 Loss_D_fake 0.007108
[1219/5000][215/535][125731] Loss_D: -0.020959 Loss_G: 0.024840 Loss_D_real: -0.025279 Loss_D_fake -0.004321
[1219/5000][220/535][125732] Loss_D: -0.020801 Loss_G: 0.004453 Loss_D_real: -0.019823 Loss_D_fake 0.000978
[1219/5000][225/535][125733] Loss_D: -0.021371 Loss_G: -0.001685 Loss_D_real: -0.029291 Loss_D_fake -0.007920
[1219/5000][230/535][125734] Loss_D: -0.021667 Loss_G: -0.002384 Loss_D_real: -0.012511 Loss_D_fake 0.009156
[1219/5000][235/535][125735] Loss_D: -0.020506 Loss_G: -0.011027 Loss_D_real: 0.004494 Loss_D_fake 0.025000
[1219/5000][240/535][125736] Loss_D: -0.020544 Loss_G: 0.006802 Loss_D_real: -0.023092 Loss_D_fake -0.002548
[1219/5000][245/535][125737] Loss_D: -0.019607 Loss_G: -0.010817 Loss_D_real: -0.013228 Loss_D_fake 0.006379
[1219/5000][250/535][125738] Loss_D: -0.020699 Loss_G: -0.005354 Loss_D_real: 0.002348 Loss_D_fake 0.023047
[1219/5000][255/535][125739] Loss_D: -0.020311 Loss_G: 0.012290 Loss_D_real: -0.020607 Loss_D_fake -0.000297
[1219/5000][260/535][125740] Loss_D: -0.020197 Loss_G: 0.022859 Loss_D_real: -0.021119 Loss_D_fake -0.000922
[1219/5000][265/535][125741] Loss_D: -0.019267 Loss_G: 0.004174 Loss_D_real: -0.014124 Loss_D_fake 0.005144
[1219/5000][270/535][125742] Loss_D: -0.019032 Loss_G: -0.002745 Loss_D_real: 0.002740 Loss_D_fake 0.021772
[1219/5000][275/535][125743] Loss_D: -0.019309 Loss_G: 0.000915 Loss_D_real: -0.007415 Loss_D_fake 0.011895
[1219/5000][280/535][125744] Loss_D: -0.020844 Loss_G: -0.002711 Loss_D_real: -0.016329 Loss_D_fake 0.004515
[1219/5000][285/535][125745] Loss_D: -0.019741 Loss_G: 0.000479 Loss_D_real: -0.017455 Loss_D_fake 0.002286
[1219/5000][290/535][125746] Loss_D: -0.020102 Loss_G: 0.003344 Loss_D_real: -0.001170 Loss_D_fake 0.018932
[1219/5000][295/535][125747] Loss_D: -0.018987 Loss_G: 0.013121 Loss_D_real: -0.019916 Loss_D_fake -0.000928
[1219/5000][300/535][125748] Loss_D: -0.020769 Loss_G: -0.007360 Loss_D_real: -0.008818 Loss_D_fake 0.011951
[1219/5000][305/535][125749] Loss_D: -0.019645 Loss_G: 0.005494 Loss_D_real: -0.006778 Loss_D_fake 0.012867
[1219/5000][310/535][125750] Loss_D: -0.020019 Loss_G: 0.026832 Loss_D_real: -0.020244 Loss_D_fake -0.000226
[1219/5000][315/535][125751] Loss_D: -0.019777 Loss_G: 0.021485 Loss_D_real: -0.025137 Loss_D_fake -0.005360
[1219/5000][320/535][125752] Loss_D: -0.019491 Loss_G: -0.010075 Loss_D_real: -0.011217 Loss_D_fake 0.008274
[1219/5000][325/535][125753] Loss_D: -0.019974 Loss_G: 0.000914 Loss_D_real: -0.019738 Loss_D_fake 0.000236
[1219/5000][330/535][125754] Loss_D: -0.020415 Loss_G: 0.014152 Loss_D_real: -0.018474 Loss_D_fake 0.001941
[1219/5000][335/535][125755] Loss_D: -0.020231 Loss_G: 0.015476 Loss_D_real: -0.020306 Loss_D_fake -0.000075
[1219/5000][340/535][125756] Loss_D: -0.019681 Loss_G: 0.005034 Loss_D_real: -0.030409 Loss_D_fake -0.010728
[1219/5000][345/535][125757] Loss_D: -0.018953 Loss_G: -0.005795 Loss_D_real: -0.008209 Loss_D_fake 0.010744
[1219/5000][350/535][125758] Loss_D: -0.020564 Loss_G: 0.016504 Loss_D_real: -0.018877 Loss_D_fake 0.001687
[1219/5000][355/535][125759] Loss_D: -0.020700 Loss_G: 0.010976 Loss_D_real: -0.015847 Loss_D_fake 0.004853
[1219/5000][360/535][125760] Loss_D: -0.020940 Loss_G: -0.000182 Loss_D_real: -0.004798 Loss_D_fake 0.016142
[1219/5000][365/535][125761] Loss_D: -0.020092 Loss_G: -0.009706 Loss_D_real: -0.014687 Loss_D_fake 0.005405
[1219/5000][370/535][125762] Loss_D: -0.021025 Loss_G: 0.014987 Loss_D_real: -0.018380 Loss_D_fake 0.002646
[1219/5000][375/535][125763] Loss_D: -0.019916 Loss_G: 0.002355 Loss_D_real: -0.011632 Loss_D_fake 0.008283
[1219/5000][380/535][125764] Loss_D: -0.020461 Loss_G: 0.007109 Loss_D_real: -0.025310 Loss_D_fake -0.004849
[1219/5000][385/535][125765] Loss_D: -0.020177 Loss_G: 0.007241 Loss_D_real: -0.017838 Loss_D_fake 0.002339
[1219/5000][390/535][125766] Loss_D: -0.019929 Loss_G: 0.018290 Loss_D_real: -0.023428 Loss_D_fake -0.003499
[1219/5000][395/535][125767] Loss_D: -0.020276 Loss_G: -0.004833 Loss_D_real: -0.008130 Loss_D_fake 0.012146
[1219/5000][400/535][125768] Loss_D: -0.020752 Loss_G: 0.009520 Loss_D_real: -0.012664 Loss_D_fake 0.008088
[1219/5000][405/535][125769] Loss_D: -0.019274 Loss_G: -0.004988 Loss_D_real: -0.012412 Loss_D_fake 0.006862
[1219/5000][410/535][125770] Loss_D: -0.019110 Loss_G: 0.025379 Loss_D_real: -0.032479 Loss_D_fake -0.013368
[1219/5000][415/535][125771] Loss_D: -0.019951 Loss_G: 0.022394 Loss_D_real: -0.024421 Loss_D_fake -0.004469
[1219/5000][420/535][125772] Loss_D: -0.018976 Loss_G: 0.021544 Loss_D_real: -0.034885 Loss_D_fake -0.015909
[1219/5000][425/535][125773] Loss_D: -0.021611 Loss_G: -0.000877 Loss_D_real: -0.010919 Loss_D_fake 0.010692
[1219/5000][430/535][125774] Loss_D: -0.019966 Loss_G: 0.014050 Loss_D_real: -0.011900 Loss_D_fake 0.008065
[1219/5000][435/535][125775] Loss_D: -0.020230 Loss_G: -0.004395 Loss_D_real: -0.011360 Loss_D_fake 0.008870
[1219/5000][440/535][125776] Loss_D: -0.020890 Loss_G: 0.000165 Loss_D_real: -0.018169 Loss_D_fake 0.002721
[1219/5000][445/535][125777] Loss_D: -0.020453 Loss_G: 0.006931 Loss_D_real: -0.016597 Loss_D_fake 0.003856
[1219/5000][450/535][125778] Loss_D: -0.019824 Loss_G: 0.021446 Loss_D_real: -0.028985 Loss_D_fake -0.009161
[1219/5000][455/535][125779] Loss_D: -0.020779 Loss_G: -0.013669 Loss_D_real: -0.004240 Loss_D_fake 0.016538
[1219/5000][460/535][125780] Loss_D: -0.019007 Loss_G: 0.020132 Loss_D_real: -0.017116 Loss_D_fake 0.001891
[1219/5000][465/535][125781] Loss_D: -0.018625 Loss_G: 0.018682 Loss_D_real: -0.034754 Loss_D_fake -0.016129
[1219/5000][470/535][125782] Loss_D: -0.019260 Loss_G: -0.009337 Loss_D_real: -0.005127 Loss_D_fake 0.014134
[1219/5000][475/535][125783] Loss_D: -0.021376 Loss_G: 0.008891 Loss_D_real: -0.008635 Loss_D_fake 0.012741
[1219/5000][480/535][125784] Loss_D: -0.020258 Loss_G: 0.007479 Loss_D_real: -0.020306 Loss_D_fake -0.000048
[1219/5000][485/535][125785] Loss_D: -0.019110 Loss_G: -0.014036 Loss_D_real: -0.008543 Loss_D_fake 0.010566
[1219/5000][490/535][125786] Loss_D: -0.019661 Loss_G: -0.009833 Loss_D_real: -0.010333 Loss_D_fake 0.009328
[1219/5000][495/535][125787] Loss_D: -0.014903 Loss_G: 0.028942 Loss_D_real: -0.022903 Loss_D_fake -0.008000
[1219/5000][500/535][125788] Loss_D: -0.021060 Loss_G: 0.022479 Loss_D_real: -0.020399 Loss_D_fake 0.000661
[1219/5000][505/535][125789] Loss_D: -0.020845 Loss_G: 0.006765 Loss_D_real: -0.011179 Loss_D_fake 0.009666
[1219/5000][510/535][125790] Loss_D: -0.020623 Loss_G: 0.004748 Loss_D_real: -0.020178 Loss_D_fake 0.000445
[1219/5000][515/535][125791] Loss_D: -0.019323 Loss_G: 0.001851 Loss_D_real: -0.017443 Loss_D_fake 0.001881
[1219/5000][520/535][125792] Loss_D: -0.020811 Loss_G: 0.015553 Loss_D_real: -0.022728 Loss_D_fake -0.001917
[1219/5000][525/535][125793] Loss_D: -0.020584 Loss_G: 0.018168 Loss_D_real: -0.036689 Loss_D_fake -0.016105
[1219/5000][530/535][125794] Loss_D: -0.021004 Loss_G: 0.020619 Loss_D_real: -0.019915 Loss_D_fake 0.001090
[1219/5000][535/535][125795] Loss_D: -0.022626 Loss_G: 0.021669 Loss_D_real: -0.008980 Loss_D_fake 0.013646
[1220/5000][5/535][125796] Loss_D: -0.019927 Loss_G: -0.009385 Loss_D_real: -0.004696 Loss_D_fake 0.015231
[1220/5000][10/535][125797] Loss_D: -0.019421 Loss_G: 0.013104 Loss_D_real: -0.025591 Loss_D_fake -0.006170
[1220/5000][15/535][125798] Loss_D: -0.019831 Loss_G: 0.019461 Loss_D_real: -0.020931 Loss_D_fake -0.001100
[1220/5000][20/535][125799] Loss_D: -0.018313 Loss_G: -0.011523 Loss_D_real: 0.003850 Loss_D_fake 0.022164
[1220/5000][25/535][125800] Loss_D: -0.019945 Loss_G: 0.010151 Loss_D_real: -0.019746 Loss_D_fake 0.000198
[1220/5000][30/535][125801] Loss_D: -0.019621 Loss_G: 0.001582 Loss_D_real: -0.021917 Loss_D_fake -0.002295
[1220/5000][35/535][125802] Loss_D: -0.019993 Loss_G: 0.019255 Loss_D_real: -0.021357 Loss_D_fake -0.001363
[1220/5000][40/535][125803] Loss_D: -0.019905 Loss_G: 0.005069 Loss_D_real: -0.016430 Loss_D_fake 0.003474
[1220/5000][45/535][125804] Loss_D: -0.019343 Loss_G: 0.015465 Loss_D_real: -0.029341 Loss_D_fake -0.009998
[1220/5000][50/535][125805] Loss_D: -0.020299 Loss_G: 0.018208 Loss_D_real: -0.030191 Loss_D_fake -0.009893
[1220/5000][55/535][125806] Loss_D: -0.020343 Loss_G: -0.000044 Loss_D_real: 0.000088 Loss_D_fake 0.020432
[1220/5000][60/535][125807] Loss_D: -0.018729 Loss_G: 0.028641 Loss_D_real: -0.028564 Loss_D_fake -0.009835
[1220/5000][65/535][125808] Loss_D: -0.020832 Loss_G: -0.011750 Loss_D_real: -0.007400 Loss_D_fake 0.013432
[1220/5000][70/535][125809] Loss_D: -0.020263 Loss_G: 0.020514 Loss_D_real: -0.028132 Loss_D_fake -0.007869
[1220/5000][75/535][125810] Loss_D: -0.020917 Loss_G: 0.021755 Loss_D_real: -0.020975 Loss_D_fake -0.000058
[1220/5000][80/535][125811] Loss_D: -0.020136 Loss_G: 0.015042 Loss_D_real: -0.021254 Loss_D_fake -0.001118
[1220/5000][85/535][125812] Loss_D: -0.021362 Loss_G: 0.005083 Loss_D_real: -0.015476 Loss_D_fake 0.005886
[1220/5000][90/535][125813] Loss_D: -0.020478 Loss_G: 0.007972 Loss_D_real: -0.012600 Loss_D_fake 0.007878
[1220/5000][95/535][125814] Loss_D: -0.018760 Loss_G: 0.025672 Loss_D_real: -0.019663 Loss_D_fake -0.000903
[1220/5000][100/535][125815] Loss_D: -0.020562 Loss_G: -0.012704 Loss_D_real: -0.008378 Loss_D_fake 0.012184
[1220/5000][105/535][125816] Loss_D: -0.020898 Loss_G: 0.011302 Loss_D_real: -0.023558 Loss_D_fake -0.002659
[1220/5000][110/535][125817] Loss_D: -0.018732 Loss_G: -0.001243 Loss_D_real: -0.009132 Loss_D_fake 0.009600
[1220/5000][115/535][125818] Loss_D: -0.020278 Loss_G: 0.016581 Loss_D_real: -0.021798 Loss_D_fake -0.001520
[1220/5000][120/535][125819] Loss_D: -0.020538 Loss_G: 0.017990 Loss_D_real: -0.025909 Loss_D_fake -0.005371
[1220/5000][125/535][125820] Loss_D: -0.020563 Loss_G: -0.002758 Loss_D_real: -0.010170 Loss_D_fake 0.010393
[1220/5000][130/535][125821] Loss_D: -0.019624 Loss_G: -0.006707 Loss_D_real: 0.000304 Loss_D_fake 0.019928
[1220/5000][135/535][125822] Loss_D: -0.019690 Loss_G: 0.030422 Loss_D_real: -0.023292 Loss_D_fake -0.003602
[1220/5000][140/535][125823] Loss_D: -0.019094 Loss_G: 0.014703 Loss_D_real: -0.017400 Loss_D_fake 0.001694
[1220/5000][145/535][125824] Loss_D: -0.019998 Loss_G: 0.020652 Loss_D_real: -0.024486 Loss_D_fake -0.004488
[1220/5000][150/535][125825] Loss_D: -0.018610 Loss_G: 0.019805 Loss_D_real: -0.024200 Loss_D_fake -0.005589
[1220/5000][155/535][125826] Loss_D: -0.020158 Loss_G: 0.013585 Loss_D_real: -0.026346 Loss_D_fake -0.006188
[1220/5000][160/535][125827] Loss_D: -0.020745 Loss_G: 0.009929 Loss_D_real: -0.022066 Loss_D_fake -0.001321
[1220/5000][165/535][125828] Loss_D: -0.019942 Loss_G: 0.027420 Loss_D_real: -0.027841 Loss_D_fake -0.007898
[1220/5000][170/535][125829] Loss_D: -0.020828 Loss_G: -0.001183 Loss_D_real: -0.016659 Loss_D_fake 0.004169
[1220/5000][175/535][125830] Loss_D: -0.019910 Loss_G: 0.005228 Loss_D_real: -0.014151 Loss_D_fake 0.005760
[1220/5000][180/535][125831] Loss_D: -0.020525 Loss_G: -0.000856 Loss_D_real: -0.008933 Loss_D_fake 0.011592
[1220/5000][185/535][125832] Loss_D: -0.019659 Loss_G: -0.011945 Loss_D_real: -0.013122 Loss_D_fake 0.006537
[1220/5000][190/535][125833] Loss_D: -0.020408 Loss_G: -0.010825 Loss_D_real: -0.000050 Loss_D_fake 0.020358
[1220/5000][195/535][125834] Loss_D: -0.020430 Loss_G: 0.000719 Loss_D_real: -0.014677 Loss_D_fake 0.005753
[1220/5000][200/535][125835] Loss_D: -0.019328 Loss_G: 0.001362 Loss_D_real: -0.009220 Loss_D_fake 0.010108
[1220/5000][205/535][125836] Loss_D: -0.019852 Loss_G: 0.028784 Loss_D_real: -0.026180 Loss_D_fake -0.006328
[1220/5000][210/535][125837] Loss_D: -0.019376 Loss_G: 0.001228 Loss_D_real: -0.013600 Loss_D_fake 0.005776
[1220/5000][215/535][125838] Loss_D: -0.018745 Loss_G: 0.027161 Loss_D_real: -0.032256 Loss_D_fake -0.013511
[1220/5000][220/535][125839] Loss_D: -0.019345 Loss_G: -0.004704 Loss_D_real: -0.021649 Loss_D_fake -0.002304
[1220/5000][225/535][125840] Loss_D: -0.019957 Loss_G: 0.024673 Loss_D_real: -0.030299 Loss_D_fake -0.010341
[1220/5000][230/535][125841] Loss_D: -0.020842 Loss_G: 0.014021 Loss_D_real: -0.013823 Loss_D_fake 0.007019
[1220/5000][235/535][125842] Loss_D: -0.020275 Loss_G: -0.003015 Loss_D_real: -0.013444 Loss_D_fake 0.006831
[1220/5000][240/535][125843] Loss_D: -0.018668 Loss_G: -0.020690 Loss_D_real: -0.000679 Loss_D_fake 0.017988
[1220/5000][245/535][125844] Loss_D: -0.020227 Loss_G: 0.008503 Loss_D_real: -0.009455 Loss_D_fake 0.010772
[1220/5000][250/535][125845] Loss_D: -0.020000 Loss_G: 0.002152 Loss_D_real: -0.023001 Loss_D_fake -0.003001
[1220/5000][255/535][125846] Loss_D: -0.020835 Loss_G: 0.022033 Loss_D_real: -0.019077 Loss_D_fake 0.001758
[1220/5000][260/535][125847] Loss_D: -0.019046 Loss_G: -0.002875 Loss_D_real: -0.018344 Loss_D_fake 0.000703
[1220/5000][265/535][125848] Loss_D: -0.020070 Loss_G: -0.004286 Loss_D_real: -0.017982 Loss_D_fake 0.002088
[1220/5000][270/535][125849] Loss_D: -0.020716 Loss_G: -0.003732 Loss_D_real: -0.015041 Loss_D_fake 0.005675
[1220/5000][275/535][125850] Loss_D: -0.018891 Loss_G: 0.025618 Loss_D_real: -0.029783 Loss_D_fake -0.010892
[1220/5000][280/535][125851] Loss_D: -0.019973 Loss_G: 0.019928 Loss_D_real: -0.038284 Loss_D_fake -0.018311
[1220/5000][285/535][125852] Loss_D: -0.021865 Loss_G: 0.011422 Loss_D_real: -0.028078 Loss_D_fake -0.006213
[1220/5000][290/535][125853] Loss_D: -0.020310 Loss_G: 0.008823 Loss_D_real: -0.025554 Loss_D_fake -0.005244
[1220/5000][295/535][125854] Loss_D: -0.021221 Loss_G: 0.021788 Loss_D_real: -0.024909 Loss_D_fake -0.003688
[1220/5000][300/535][125855] Loss_D: -0.021777 Loss_G: 0.017917 Loss_D_real: -0.025372 Loss_D_fake -0.003595
[1220/5000][305/535][125856] Loss_D: -0.020972 Loss_G: 0.011703 Loss_D_real: -0.022410 Loss_D_fake -0.001438
[1220/5000][310/535][125857] Loss_D: -0.020946 Loss_G: 0.021171 Loss_D_real: -0.022094 Loss_D_fake -0.001148
[1220/5000][315/535][125858] Loss_D: -0.021740 Loss_G: 0.005686 Loss_D_real: -0.018754 Loss_D_fake 0.002987
[1220/5000][320/535][125859] Loss_D: -0.021953 Loss_G: 0.009296 Loss_D_real: -0.017032 Loss_D_fake 0.004921
[1220/5000][325/535][125860] Loss_D: -0.019738 Loss_G: 0.014103 Loss_D_real: -0.024716 Loss_D_fake -0.004978
[1220/5000][330/535][125861] Loss_D: -0.019389 Loss_G: 0.019014 Loss_D_real: -0.021575 Loss_D_fake -0.002186
[1220/5000][335/535][125862] Loss_D: -0.019069 Loss_G: 0.012230 Loss_D_real: -0.016263 Loss_D_fake 0.002806
[1220/5000][340/535][125863] Loss_D: -0.020695 Loss_G: -0.007411 Loss_D_real: -0.013367 Loss_D_fake 0.007329
[1220/5000][345/535][125864] Loss_D: -0.019764 Loss_G: -0.005679 Loss_D_real: -0.011214 Loss_D_fake 0.008550
[1220/5000][350/535][125865] Loss_D: -0.019065 Loss_G: 0.017465 Loss_D_real: -0.038787 Loss_D_fake -0.019722
[1220/5000][355/535][125866] Loss_D: -0.020127 Loss_G: -0.002466 Loss_D_real: -0.010506 Loss_D_fake 0.009621
[1220/5000][360/535][125867] Loss_D: -0.022006 Loss_G: 0.000546 Loss_D_real: 0.004227 Loss_D_fake 0.026234
[1220/5000][365/535][125868] Loss_D: -0.020670 Loss_G: -0.020325 Loss_D_real: -0.012880 Loss_D_fake 0.007790
[1220/5000][370/535][125869] Loss_D: -0.020772 Loss_G: 0.010972 Loss_D_real: -0.020798 Loss_D_fake -0.000026
[1220/5000][375/535][125870] Loss_D: -0.020116 Loss_G: -0.007354 Loss_D_real: -0.014413 Loss_D_fake 0.005702
[1220/5000][380/535][125871] Loss_D: -0.020058 Loss_G: -0.012508 Loss_D_real: 0.003577 Loss_D_fake 0.023635
[1220/5000][385/535][125872] Loss_D: -0.021332 Loss_G: 0.020564 Loss_D_real: -0.019584 Loss_D_fake 0.001748
[1220/5000][390/535][125873] Loss_D: -0.019729 Loss_G: -0.015064 Loss_D_real: -0.006702 Loss_D_fake 0.013026
[1220/5000][395/535][125874] Loss_D: -0.019646 Loss_G: 0.009187 Loss_D_real: -0.018336 Loss_D_fake 0.001310
[1220/5000][400/535][125875] Loss_D: -0.017523 Loss_G: -0.018385 Loss_D_real: 0.007824 Loss_D_fake 0.025347
[1220/5000][405/535][125876] Loss_D: -0.020005 Loss_G: -0.006098 Loss_D_real: -0.006078 Loss_D_fake 0.013927
[1220/5000][410/535][125877] Loss_D: -0.019294 Loss_G: -0.010614 Loss_D_real: -0.020156 Loss_D_fake -0.000862
[1220/5000][415/535][125878] Loss_D: -0.020768 Loss_G: 0.019614 Loss_D_real: -0.011039 Loss_D_fake 0.009730
[1220/5000][420/535][125879] Loss_D: -0.019943 Loss_G: 0.004995 Loss_D_real: -0.016789 Loss_D_fake 0.003154
[1220/5000][425/535][125880] Loss_D: -0.020245 Loss_G: 0.018497 Loss_D_real: -0.025569 Loss_D_fake -0.005324
[1220/5000][430/535][125881] Loss_D: -0.019778 Loss_G: 0.003714 Loss_D_real: -0.015539 Loss_D_fake 0.004239
[1220/5000][435/535][125882] Loss_D: -0.020088 Loss_G: -0.002599 Loss_D_real: -0.005022 Loss_D_fake 0.015066
[1220/5000][440/535][125883] Loss_D: -0.019859 Loss_G: 0.019277 Loss_D_real: -0.029035 Loss_D_fake -0.009175
[1220/5000][445/535][125884] Loss_D: -0.021421 Loss_G: 0.000408 Loss_D_real: -0.012346 Loss_D_fake 0.009075
[1220/5000][450/535][125885] Loss_D: -0.021190 Loss_G: 0.009260 Loss_D_real: -0.013174 Loss_D_fake 0.008016
[1220/5000][455/535][125886] Loss_D: -0.020664 Loss_G: -0.001459 Loss_D_real: -0.020107 Loss_D_fake 0.000557
[1220/5000][460/535][125887] Loss_D: -0.019896 Loss_G: -0.005474 Loss_D_real: -0.004297 Loss_D_fake 0.015599
[1220/5000][465/535][125888] Loss_D: -0.018363 Loss_G: 0.026071 Loss_D_real: -0.032076 Loss_D_fake -0.013713
[1220/5000][470/535][125889] Loss_D: -0.021464 Loss_G: -0.009973 Loss_D_real: -0.010198 Loss_D_fake 0.011265
[1220/5000][475/535][125890] Loss_D: -0.019653 Loss_G: 0.001557 Loss_D_real: -0.012563 Loss_D_fake 0.007090
[1220/5000][480/535][125891] Loss_D: -0.020722 Loss_G: 0.005135 Loss_D_real: -0.022497 Loss_D_fake -0.001775
[1220/5000][485/535][125892] Loss_D: -0.020336 Loss_G: -0.015154 Loss_D_real: -0.001970 Loss_D_fake 0.018366
[1220/5000][490/535][125893] Loss_D: -0.020725 Loss_G: 0.001922 Loss_D_real: -0.009228 Loss_D_fake 0.011497
[1220/5000][495/535][125894] Loss_D: -0.020258 Loss_G: 0.009379 Loss_D_real: -0.007251 Loss_D_fake 0.013008
[1220/5000][500/535][125895] Loss_D: -0.019151 Loss_G: 0.009517 Loss_D_real: -0.013450 Loss_D_fake 0.005700
[1220/5000][505/535][125896] Loss_D: -0.021036 Loss_G: 0.014903 Loss_D_real: -0.014019 Loss_D_fake 0.007017
[1220/5000][510/535][125897] Loss_D: -0.020059 Loss_G: 0.002726 Loss_D_real: -0.005237 Loss_D_fake 0.014822
[1220/5000][515/535][125898] Loss_D: -0.018580 Loss_G: 0.010109 Loss_D_real: -0.030660 Loss_D_fake -0.012080
[1220/5000][520/535][125899] Loss_D: -0.018335 Loss_G: -0.004842 Loss_D_real: -0.007156 Loss_D_fake 0.011179
[1220/5000][525/535][125900] Loss_D: -0.018864 Loss_G: 0.009244 Loss_D_real: -0.013137 Loss_D_fake 0.005727
[1220/5000][530/535][125901] Loss_D: -0.017668 Loss_G: 0.029617 Loss_D_real: -0.036895 Loss_D_fake -0.019227
[1220/5000][535/535][125902] Loss_D: -0.017910 Loss_G: 0.004378 Loss_D_real: -0.020835 Loss_D_fake -0.002925
[1221/5000][5/535][125903] Loss_D: -0.019855 Loss_G: -0.002183 Loss_D_real: -0.002571 Loss_D_fake 0.017284
[1221/5000][10/535][125904] Loss_D: -0.019372 Loss_G: 0.000168 Loss_D_real: -0.031476 Loss_D_fake -0.012104
[1221/5000][15/535][125905] Loss_D: -0.020231 Loss_G: -0.003148 Loss_D_real: -0.000874 Loss_D_fake 0.019357
[1221/5000][20/535][125906] Loss_D: -0.018051 Loss_G: 0.029948 Loss_D_real: -0.029622 Loss_D_fake -0.011571
[1221/5000][25/535][125907] Loss_D: -0.020317 Loss_G: 0.000914 Loss_D_real: -0.005124 Loss_D_fake 0.015193
[1221/5000][30/535][125908] Loss_D: -0.020506 Loss_G: 0.000813 Loss_D_real: -0.019053 Loss_D_fake 0.001453
[1221/5000][35/535][125909] Loss_D: -0.020264 Loss_G: 0.004028 Loss_D_real: -0.014280 Loss_D_fake 0.005984
[1221/5000][40/535][125910] Loss_D: -0.018332 Loss_G: -0.024003 Loss_D_real: 0.003465 Loss_D_fake 0.021797
[1221/5000][45/535][125911] Loss_D: -0.019975 Loss_G: -0.000860 Loss_D_real: -0.002441 Loss_D_fake 0.017534
[1221/5000][50/535][125912] Loss_D: -0.019509 Loss_G: 0.015715 Loss_D_real: -0.007624 Loss_D_fake 0.011886
[1221/5000][55/535][125913] Loss_D: -0.019859 Loss_G: 0.022191 Loss_D_real: -0.024925 Loss_D_fake -0.005066
[1221/5000][60/535][125914] Loss_D: -0.021190 Loss_G: -0.006166 Loss_D_real: -0.008084 Loss_D_fake 0.013106
[1221/5000][65/535][125915] Loss_D: -0.017046 Loss_G: -0.000389 Loss_D_real: -0.006128 Loss_D_fake 0.010918
[1221/5000][70/535][125916] Loss_D: -0.021463 Loss_G: 0.007531 Loss_D_real: -0.027435 Loss_D_fake -0.005972
[1221/5000][75/535][125917] Loss_D: -0.020572 Loss_G: 0.008947 Loss_D_real: -0.018666 Loss_D_fake 0.001906
[1221/5000][80/535][125918] Loss_D: -0.020028 Loss_G: 0.013930 Loss_D_real: -0.030347 Loss_D_fake -0.010319
[1221/5000][85/535][125919] Loss_D: -0.020763 Loss_G: 0.019806 Loss_D_real: -0.020324 Loss_D_fake 0.000439
[1221/5000][90/535][125920] Loss_D: -0.019926 Loss_G: 0.017826 Loss_D_real: -0.030007 Loss_D_fake -0.010080
[1221/5000][95/535][125921] Loss_D: -0.020760 Loss_G: -0.001228 Loss_D_real: -0.001916 Loss_D_fake 0.018844
[1221/5000][100/535][125922] Loss_D: -0.020626 Loss_G: -0.002222 Loss_D_real: -0.012309 Loss_D_fake 0.008317
[1221/5000][105/535][125923] Loss_D: -0.020764 Loss_G: -0.020055 Loss_D_real: -0.002359 Loss_D_fake 0.018405
[1221/5000][110/535][125924] Loss_D: -0.018729 Loss_G: -0.021139 Loss_D_real: -0.002048 Loss_D_fake 0.016681
[1221/5000][115/535][125925] Loss_D: -0.020025 Loss_G: 0.016218 Loss_D_real: -0.021003 Loss_D_fake -0.000978
[1221/5000][120/535][125926] Loss_D: -0.020025 Loss_G: -0.004197 Loss_D_real: -0.014190 Loss_D_fake 0.005835
[1221/5000][125/535][125927] Loss_D: -0.019927 Loss_G: 0.018452 Loss_D_real: -0.033895 Loss_D_fake -0.013968
[1221/5000][130/535][125928] Loss_D: -0.019707 Loss_G: -0.004503 Loss_D_real: -0.007726 Loss_D_fake 0.011981
[1221/5000][135/535][125929] Loss_D: -0.020486 Loss_G: 0.003617 Loss_D_real: -0.013831 Loss_D_fake 0.006655
[1221/5000][140/535][125930] Loss_D: -0.019303 Loss_G: -0.001776 Loss_D_real: -0.000604 Loss_D_fake 0.018699
[1221/5000][145/535][125931] Loss_D: -0.020845 Loss_G: 0.003321 Loss_D_real: -0.019178 Loss_D_fake 0.001667
[1221/5000][150/535][125932] Loss_D: -0.021527 Loss_G: -0.001485 Loss_D_real: -0.002693 Loss_D_fake 0.018834
[1221/5000][155/535][125933] Loss_D: -0.020432 Loss_G: -0.007977 Loss_D_real: -0.013572 Loss_D_fake 0.006860
[1221/5000][160/535][125934] Loss_D: -0.019195 Loss_G: 0.016844 Loss_D_real: -0.017139 Loss_D_fake 0.002056
[1221/5000][165/535][125935] Loss_D: -0.021293 Loss_G: 0.009481 Loss_D_real: -0.022296 Loss_D_fake -0.001003
[1221/5000][170/535][125936] Loss_D: -0.019870 Loss_G: 0.030657 Loss_D_real: -0.029065 Loss_D_fake -0.009196
[1221/5000][175/535][125937] Loss_D: -0.019431 Loss_G: 0.011316 Loss_D_real: -0.022949 Loss_D_fake -0.003519
[1221/5000][180/535][125938] Loss_D: -0.020937 Loss_G: 0.004194 Loss_D_real: -0.015370 Loss_D_fake 0.005567
[1221/5000][185/535][125939] Loss_D: -0.020490 Loss_G: 0.000104 Loss_D_real: -0.007157 Loss_D_fake 0.013332
[1221/5000][190/535][125940] Loss_D: -0.020483 Loss_G: 0.005438 Loss_D_real: -0.016832 Loss_D_fake 0.003651
[1221/5000][195/535][125941] Loss_D: -0.020158 Loss_G: 0.019530 Loss_D_real: -0.021111 Loss_D_fake -0.000953
[1221/5000][200/535][125942] Loss_D: -0.019664 Loss_G: 0.021113 Loss_D_real: -0.019147 Loss_D_fake 0.000517
[1221/5000][205/535][125943] Loss_D: -0.021707 Loss_G: -0.007527 Loss_D_real: -0.005488 Loss_D_fake 0.016220
[1221/5000][210/535][125944] Loss_D: -0.021222 Loss_G: 0.003663 Loss_D_real: -0.019207 Loss_D_fake 0.002014
[1221/5000][215/535][125945] Loss_D: -0.020922 Loss_G: 0.001580 Loss_D_real: -0.010972 Loss_D_fake 0.009950
[1221/5000][220/535][125946] Loss_D: -0.019840 Loss_G: 0.033420 Loss_D_real: -0.037499 Loss_D_fake -0.017659
[1221/5000][225/535][125947] Loss_D: -0.021505 Loss_G: 0.006458 Loss_D_real: -0.017885 Loss_D_fake 0.003620
[1221/5000][230/535][125948] Loss_D: -0.021364 Loss_G: -0.004783 Loss_D_real: 0.011569 Loss_D_fake 0.032933
[1221/5000][235/535][125949] Loss_D: -0.020225 Loss_G: 0.021543 Loss_D_real: -0.027412 Loss_D_fake -0.007187
[1221/5000][240/535][125950] Loss_D: -0.020733 Loss_G: 0.012803 Loss_D_real: -0.010245 Loss_D_fake 0.010488
[1221/5000][245/535][125951] Loss_D: -0.021328 Loss_G: 0.008259 Loss_D_real: -0.027078 Loss_D_fake -0.005750
[1221/5000][250/535][125952] Loss_D: -0.022322 Loss_G: -0.004353 Loss_D_real: -0.013555 Loss_D_fake 0.008767
[1221/5000][255/535][125953] Loss_D: -0.020042 Loss_G: 0.010949 Loss_D_real: -0.022958 Loss_D_fake -0.002916
[1221/5000][260/535][125954] Loss_D: -0.021174 Loss_G: 0.001258 Loss_D_real: -0.034625 Loss_D_fake -0.013451
[1221/5000][265/535][125955] Loss_D: -0.021172 Loss_G: 0.000560 Loss_D_real: -0.002003 Loss_D_fake 0.019169
[1221/5000][270/535][125956] Loss_D: -0.019273 Loss_G: 0.027188 Loss_D_real: -0.031905 Loss_D_fake -0.012631
[1221/5000][275/535][125957] Loss_D: -0.020080 Loss_G: -0.003359 Loss_D_real: -0.015153 Loss_D_fake 0.004926
[1221/5000][280/535][125958] Loss_D: -0.019701 Loss_G: -0.000552 Loss_D_real: -0.023358 Loss_D_fake -0.003657
[1221/5000][285/535][125959] Loss_D: -0.020863 Loss_G: -0.015054 Loss_D_real: -0.003330 Loss_D_fake 0.017533
[1221/5000][290/535][125960] Loss_D: -0.019584 Loss_G: 0.001772 Loss_D_real: -0.004717 Loss_D_fake 0.014866
[1221/5000][295/535][125961] Loss_D: -0.020077 Loss_G: 0.007956 Loss_D_real: -0.018155 Loss_D_fake 0.001922
[1221/5000][300/535][125962] Loss_D: -0.018315 Loss_G: 0.021912 Loss_D_real: -0.029904 Loss_D_fake -0.011589
[1221/5000][305/535][125963] Loss_D: -0.019890 Loss_G: -0.005368 Loss_D_real: -0.011838 Loss_D_fake 0.008052
[1221/5000][310/535][125964] Loss_D: -0.020466 Loss_G: 0.017987 Loss_D_real: -0.020650 Loss_D_fake -0.000183
[1221/5000][315/535][125965] Loss_D: -0.020186 Loss_G: 0.002794 Loss_D_real: -0.028280 Loss_D_fake -0.008094
[1221/5000][320/535][125966] Loss_D: -0.019769 Loss_G: -0.013165 Loss_D_real: 0.004783 Loss_D_fake 0.024553
[1221/5000][325/535][125967] Loss_D: -0.021070 Loss_G: 0.006645 Loss_D_real: -0.013356 Loss_D_fake 0.007715
[1221/5000][330/535][125968] Loss_D: -0.020335 Loss_G: 0.016144 Loss_D_real: -0.009034 Loss_D_fake 0.011300
[1221/5000][335/535][125969] Loss_D: -0.019453 Loss_G: 0.007807 Loss_D_real: -0.010686 Loss_D_fake 0.008768
[1221/5000][340/535][125970] Loss_D: -0.018559 Loss_G: 0.012324 Loss_D_real: -0.012795 Loss_D_fake 0.005764
[1221/5000][345/535][125971] Loss_D: -0.021816 Loss_G: 0.007829 Loss_D_real: -0.018674 Loss_D_fake 0.003143
[1221/5000][350/535][125972] Loss_D: -0.018741 Loss_G: 0.006416 Loss_D_real: -0.016530 Loss_D_fake 0.002211
[1221/5000][355/535][125973] Loss_D: -0.018641 Loss_G: -0.001127 Loss_D_real: -0.004226 Loss_D_fake 0.014415
[1221/5000][360/535][125974] Loss_D: -0.019539 Loss_G: -0.006208 Loss_D_real: -0.009617 Loss_D_fake 0.009921
[1221/5000][365/535][125975] Loss_D: -0.020183 Loss_G: 0.030269 Loss_D_real: -0.029428 Loss_D_fake -0.009246
[1221/5000][370/535][125976] Loss_D: -0.019033 Loss_G: -0.016174 Loss_D_real: -0.014540 Loss_D_fake 0.004493
[1221/5000][375/535][125977] Loss_D: -0.020164 Loss_G: 0.002546 Loss_D_real: -0.009884 Loss_D_fake 0.010280
[1221/5000][380/535][125978] Loss_D: -0.019728 Loss_G: 0.028445 Loss_D_real: -0.028042 Loss_D_fake -0.008314
[1221/5000][385/535][125979] Loss_D: -0.020822 Loss_G: 0.004342 Loss_D_real: -0.023354 Loss_D_fake -0.002531
[1221/5000][390/535][125980] Loss_D: -0.021035 Loss_G: -0.004624 Loss_D_real: -0.002719 Loss_D_fake 0.018316
[1221/5000][395/535][125981] Loss_D: -0.019985 Loss_G: -0.002665 Loss_D_real: -0.008944 Loss_D_fake 0.011042
[1221/5000][400/535][125982] Loss_D: -0.020147 Loss_G: 0.016561 Loss_D_real: -0.016300 Loss_D_fake 0.003847
[1221/5000][405/535][125983] Loss_D: -0.019400 Loss_G: 0.002912 Loss_D_real: -0.006437 Loss_D_fake 0.012962
[1221/5000][410/535][125984] Loss_D: -0.019262 Loss_G: 0.020380 Loss_D_real: -0.023380 Loss_D_fake -0.004118
[1221/5000][415/535][125985] Loss_D: -0.019868 Loss_G: -0.002593 Loss_D_real: -0.013520 Loss_D_fake 0.006348
[1221/5000][420/535][125986] Loss_D: -0.020375 Loss_G: 0.019956 Loss_D_real: -0.020589 Loss_D_fake -0.000214
[1221/5000][425/535][125987] Loss_D: -0.021332 Loss_G: -0.003694 Loss_D_real: -0.017572 Loss_D_fake 0.003760
[1221/5000][430/535][125988] Loss_D: -0.019349 Loss_G: -0.010491 Loss_D_real: 0.009939 Loss_D_fake 0.029288
[1221/5000][435/535][125989] Loss_D: -0.019382 Loss_G: 0.008201 Loss_D_real: -0.019525 Loss_D_fake -0.000143
[1221/5000][440/535][125990] Loss_D: -0.018565 Loss_G: -0.012016 Loss_D_real: 0.002157 Loss_D_fake 0.020722
[1221/5000][445/535][125991] Loss_D: -0.019572 Loss_G: 0.010971 Loss_D_real: -0.024917 Loss_D_fake -0.005345
[1221/5000][450/535][125992] Loss_D: -0.021320 Loss_G: 0.002094 Loss_D_real: -0.007730 Loss_D_fake 0.013590
[1221/5000][455/535][125993] Loss_D: -0.020144 Loss_G: 0.009918 Loss_D_real: -0.029119 Loss_D_fake -0.008975
[1221/5000][460/535][125994] Loss_D: -0.019877 Loss_G: 0.027332 Loss_D_real: -0.025088 Loss_D_fake -0.005211
[1221/5000][465/535][125995] Loss_D: -0.020512 Loss_G: 0.002938 Loss_D_real: -0.016391 Loss_D_fake 0.004121
[1221/5000][470/535][125996] Loss_D: -0.019830 Loss_G: 0.000909 Loss_D_real: -0.002891 Loss_D_fake 0.016940
[1221/5000][475/535][125997] Loss_D: -0.019909 Loss_G: 0.015273 Loss_D_real: -0.018430 Loss_D_fake 0.001479
[1221/5000][480/535][125998] Loss_D: -0.020239 Loss_G: -0.005066 Loss_D_real: -0.017617 Loss_D_fake 0.002622
[1221/5000][485/535][125999] Loss_D: -0.019047 Loss_G: 0.008856 Loss_D_real: -0.010612 Loss_D_fake 0.008435
[1221/5000][490/535][126000] Loss_D: -0.019499 Loss_G: -0.005330 Loss_D_real: 0.003724 Loss_D_fake 0.023224
[1221/5000][535/535][126001] Loss_D: -0.019958 Loss_G: -0.013638 Loss_D_real: -0.010534 Loss_D_fake 0.009424
[1222/5000][5/535][126002] Loss_D: -0.021820 Loss_G: 0.008840 Loss_D_real: -0.012962 Loss_D_fake 0.008857
[1222/5000][10/535][126003] Loss_D: -0.017737 Loss_G: 0.014478 Loss_D_real: -0.018459 Loss_D_fake -0.000722
[1222/5000][15/535][126004] Loss_D: -0.019936 Loss_G: -0.012420 Loss_D_real: -0.005748 Loss_D_fake 0.014188
[1222/5000][20/535][126005] Loss_D: -0.019690 Loss_G: 0.012897 Loss_D_real: -0.017739 Loss_D_fake 0.001951
[1222/5000][25/535][126006] Loss_D: -0.018579 Loss_G: 0.017788 Loss_D_real: -0.033243 Loss_D_fake -0.014665
[1222/5000][30/535][126007] Loss_D: -0.019170 Loss_G: 0.011332 Loss_D_real: -0.021088 Loss_D_fake -0.001918
[1222/5000][35/535][126008] Loss_D: -0.018861 Loss_G: 0.013207 Loss_D_real: -0.027060 Loss_D_fake -0.008200
[1222/5000][40/535][126009] Loss_D: -0.020082 Loss_G: 0.017613 Loss_D_real: -0.023807 Loss_D_fake -0.003725
[1222/5000][45/535][126010] Loss_D: -0.019991 Loss_G: 0.016362 Loss_D_real: -0.029281 Loss_D_fake -0.009289
[1222/5000][50/535][126011] Loss_D: -0.021159 Loss_G: 0.003047 Loss_D_real: -0.015633 Loss_D_fake 0.005527
[1222/5000][55/535][126012] Loss_D: -0.019569 Loss_G: -0.032076 Loss_D_real: 0.005361 Loss_D_fake 0.024931
[1222/5000][60/535][126013] Loss_D: -0.019517 Loss_G: 0.008326 Loss_D_real: -0.017558 Loss_D_fake 0.001958
[1222/5000][65/535][126014] Loss_D: -0.020016 Loss_G: 0.008575 Loss_D_real: -0.015978 Loss_D_fake 0.004039
[1222/5000][70/535][126015] Loss_D: -0.019306 Loss_G: 0.017927 Loss_D_real: -0.012406 Loss_D_fake 0.006900
[1222/5000][75/535][126016] Loss_D: -0.020172 Loss_G: -0.009954 Loss_D_real: -0.007903 Loss_D_fake 0.012269
[1222/5000][80/535][126017] Loss_D: -0.019904 Loss_G: 0.005030 Loss_D_real: -0.005400 Loss_D_fake 0.014503
[1222/5000][85/535][126018] Loss_D: -0.017896 Loss_G: 0.029889 Loss_D_real: -0.029367 Loss_D_fake -0.011471
[1222/5000][90/535][126019] Loss_D: -0.020965 Loss_G: 0.004217 Loss_D_real: -0.011279 Loss_D_fake 0.009686
[1222/5000][95/535][126020] Loss_D: -0.020164 Loss_G: 0.000697 Loss_D_real: -0.004373 Loss_D_fake 0.015791
[1222/5000][100/535][126021] Loss_D: -0.019047 Loss_G: 0.010705 Loss_D_real: -0.024717 Loss_D_fake -0.005670
[1222/5000][105/535][126022] Loss_D: -0.021112 Loss_G: 0.003133 Loss_D_real: -0.011372 Loss_D_fake 0.009740
[1222/5000][110/535][126023] Loss_D: -0.019449 Loss_G: 0.018664 Loss_D_real: -0.029904 Loss_D_fake -0.010455
[1222/5000][115/535][126024] Loss_D: -0.019812 Loss_G: 0.016024 Loss_D_real: -0.020561 Loss_D_fake -0.000749
[1222/5000][120/535][126025] Loss_D: -0.019693 Loss_G: -0.013032 Loss_D_real: 0.000431 Loss_D_fake 0.020124
[1222/5000][125/535][126026] Loss_D: -0.021463 Loss_G: 0.018199 Loss_D_real: -0.024624 Loss_D_fake -0.003160
[1222/5000][130/535][126027] Loss_D: -0.020365 Loss_G: -0.011822 Loss_D_real: -0.014169 Loss_D_fake 0.006196
[1222/5000][135/535][126028] Loss_D: -0.020146 Loss_G: -0.001506 Loss_D_real: 0.001288 Loss_D_fake 0.021434
[1222/5000][140/535][126029] Loss_D: -0.020266 Loss_G: 0.008035 Loss_D_real: -0.027096 Loss_D_fake -0.006830
[1222/5000][145/535][126030] Loss_D: -0.020479 Loss_G: 0.017432 Loss_D_real: -0.022516 Loss_D_fake -0.002038
[1222/5000][150/535][126031] Loss_D: -0.020351 Loss_G: -0.000372 Loss_D_real: -0.005654 Loss_D_fake 0.014697
[1222/5000][155/535][126032] Loss_D: -0.020563 Loss_G: 0.021700 Loss_D_real: -0.025614 Loss_D_fake -0.005050
[1222/5000][160/535][126033] Loss_D: -0.022605 Loss_G: -0.002585 Loss_D_real: -0.018226 Loss_D_fake 0.004379
[1222/5000][165/535][126034] Loss_D: -0.020264 Loss_G: -0.002451 Loss_D_real: -0.018120 Loss_D_fake 0.002145
[1222/5000][170/535][126035] Loss_D: -0.019305 Loss_G: -0.023611 Loss_D_real: 0.000162 Loss_D_fake 0.019466
[1222/5000][175/535][126036] Loss_D: -0.019720 Loss_G: 0.004426 Loss_D_real: -0.007485 Loss_D_fake 0.012234
[1222/5000][180/535][126037] Loss_D: -0.018769 Loss_G: 0.005122 Loss_D_real: -0.012231 Loss_D_fake 0.006538
[1222/5000][185/535][126038] Loss_D: -0.018570 Loss_G: 0.010593 Loss_D_real: -0.014579 Loss_D_fake 0.003991
[1222/5000][190/535][126039] Loss_D: -0.018959 Loss_G: 0.005807 Loss_D_real: -0.017389 Loss_D_fake 0.001570
[1222/5000][195/535][126040] Loss_D: -0.019588 Loss_G: -0.010029 Loss_D_real: -0.000405 Loss_D_fake 0.019183
[1222/5000][200/535][126041] Loss_D: -0.019761 Loss_G: 0.011044 Loss_D_real: -0.021022 Loss_D_fake -0.001261
[1222/5000][205/535][126042] Loss_D: -0.020225 Loss_G: 0.016471 Loss_D_real: -0.022574 Loss_D_fake -0.002349
[1222/5000][210/535][126043] Loss_D: -0.021290 Loss_G: 0.013186 Loss_D_real: -0.012960 Loss_D_fake 0.008330
[1222/5000][215/535][126044] Loss_D: -0.021185 Loss_G: -0.008965 Loss_D_real: -0.012746 Loss_D_fake 0.008439
[1222/5000][220/535][126045] Loss_D: -0.021533 Loss_G: -0.002139 Loss_D_real: -0.017204 Loss_D_fake 0.004329
[1222/5000][225/535][126046] Loss_D: -0.019545 Loss_G: 0.022963 Loss_D_real: -0.028799 Loss_D_fake -0.009254
[1222/5000][230/535][126047] Loss_D: -0.020967 Loss_G: 0.005889 Loss_D_real: -0.008279 Loss_D_fake 0.012688
[1222/5000][235/535][126048] Loss_D: -0.020719 Loss_G: 0.006792 Loss_D_real: -0.008702 Loss_D_fake 0.012016
[1222/5000][240/535][126049] Loss_D: -0.020558 Loss_G: -0.001651 Loss_D_real: -0.015931 Loss_D_fake 0.004628
[1222/5000][245/535][126050] Loss_D: -0.020728 Loss_G: -0.004126 Loss_D_real: -0.014469 Loss_D_fake 0.006259
[1222/5000][250/535][126051] Loss_D: -0.020558 Loss_G: 0.022726 Loss_D_real: -0.013918 Loss_D_fake 0.006639
[1222/5000][255/535][126052] Loss_D: -0.018166 Loss_G: 0.028188 Loss_D_real: -0.035042 Loss_D_fake -0.016875
[1222/5000][260/535][126053] Loss_D: -0.019766 Loss_G: 0.007998 Loss_D_real: -0.011901 Loss_D_fake 0.007865
[1222/5000][265/535][126054] Loss_D: -0.020097 Loss_G: -0.012158 Loss_D_real: -0.002765 Loss_D_fake 0.017332
[1222/5000][270/535][126055] Loss_D: -0.018936 Loss_G: -0.020721 Loss_D_real: -0.009840 Loss_D_fake 0.009096
[1222/5000][275/535][126056] Loss_D: -0.019837 Loss_G: 0.015414 Loss_D_real: -0.009796 Loss_D_fake 0.010042
[1222/5000][280/535][126057] Loss_D: -0.019203 Loss_G: -0.014216 Loss_D_real: -0.005493 Loss_D_fake 0.013710
[1222/5000][285/535][126058] Loss_D: -0.019484 Loss_G: 0.028264 Loss_D_real: -0.024579 Loss_D_fake -0.005095
[1222/5000][290/535][126059] Loss_D: -0.020778 Loss_G: 0.001528 Loss_D_real: -0.013347 Loss_D_fake 0.007431
[1222/5000][295/535][126060] Loss_D: -0.020875 Loss_G: 0.013142 Loss_D_real: -0.008863 Loss_D_fake 0.012013
[1222/5000][300/535][126061] Loss_D: -0.019879 Loss_G: -0.009928 Loss_D_real: -0.005205 Loss_D_fake 0.014674
[1222/5000][305/535][126062] Loss_D: -0.019909 Loss_G: 0.015806 Loss_D_real: -0.015954 Loss_D_fake 0.003954
[1222/5000][310/535][126063] Loss_D: -0.020678 Loss_G: 0.013059 Loss_D_real: -0.020759 Loss_D_fake -0.000081
[1222/5000][315/535][126064] Loss_D: -0.020126 Loss_G: -0.006706 Loss_D_real: -0.012353 Loss_D_fake 0.007773
[1222/5000][320/535][126065] Loss_D: -0.021821 Loss_G: 0.010479 Loss_D_real: -0.013916 Loss_D_fake 0.007904
[1222/5000][325/535][126066] Loss_D: -0.019288 Loss_G: -0.011481 Loss_D_real: -0.010267 Loss_D_fake 0.009021
[1222/5000][330/535][126067] Loss_D: -0.020431 Loss_G: 0.008353 Loss_D_real: -0.018868 Loss_D_fake 0.001563
[1222/5000][335/535][126068] Loss_D: -0.020996 Loss_G: -0.017389 Loss_D_real: -0.010290 Loss_D_fake 0.010706
[1222/5000][340/535][126069] Loss_D: -0.020655 Loss_G: 0.007807 Loss_D_real: -0.024899 Loss_D_fake -0.004243
[1222/5000][345/535][126070] Loss_D: -0.020373 Loss_G: 0.012530 Loss_D_real: -0.009479 Loss_D_fake 0.010894
[1222/5000][350/535][126071] Loss_D: -0.021117 Loss_G: 0.013922 Loss_D_real: -0.022551 Loss_D_fake -0.001434
[1222/5000][355/535][126072] Loss_D: -0.020613 Loss_G: -0.000637 Loss_D_real: -0.009864 Loss_D_fake 0.010748
[1222/5000][360/535][126073] Loss_D: -0.020133 Loss_G: 0.003137 Loss_D_real: -0.011905 Loss_D_fake 0.008228
[1222/5000][365/535][126074] Loss_D: -0.020501 Loss_G: 0.022934 Loss_D_real: -0.025642 Loss_D_fake -0.005141
[1222/5000][370/535][126075] Loss_D: -0.021101 Loss_G: 0.015025 Loss_D_real: -0.021842 Loss_D_fake -0.000741
[1222/5000][375/535][126076] Loss_D: -0.019408 Loss_G: -0.011634 Loss_D_real: -0.003640 Loss_D_fake 0.015768
[1222/5000][380/535][126077] Loss_D: -0.021003 Loss_G: 0.020908 Loss_D_real: -0.027171 Loss_D_fake -0.006168
[1222/5000][385/535][126078] Loss_D: -0.020761 Loss_G: 0.007790 Loss_D_real: -0.011123 Loss_D_fake 0.009637
[1222/5000][390/535][126079] Loss_D: -0.018504 Loss_G: 0.004788 Loss_D_real: -0.007960 Loss_D_fake 0.010544
[1222/5000][395/535][126080] Loss_D: -0.020448 Loss_G: 0.006703 Loss_D_real: -0.019851 Loss_D_fake 0.000597
[1222/5000][400/535][126081] Loss_D: -0.020886 Loss_G: -0.012417 Loss_D_real: -0.013827 Loss_D_fake 0.007059
[1222/5000][405/535][126082] Loss_D: -0.019078 Loss_G: 0.010056 Loss_D_real: -0.012049 Loss_D_fake 0.007029
[1222/5000][410/535][126083] Loss_D: -0.019813 Loss_G: 0.010334 Loss_D_real: -0.018271 Loss_D_fake 0.001542
[1222/5000][415/535][126084] Loss_D: -0.020377 Loss_G: 0.010399 Loss_D_real: -0.004707 Loss_D_fake 0.015670
[1222/5000][420/535][126085] Loss_D: -0.019572 Loss_G: 0.019906 Loss_D_real: -0.025244 Loss_D_fake -0.005671
[1222/5000][425/535][126086] Loss_D: -0.019972 Loss_G: -0.006820 Loss_D_real: -0.006537 Loss_D_fake 0.013435
[1222/5000][430/535][126087] Loss_D: -0.020104 Loss_G: 0.005929 Loss_D_real: -0.016162 Loss_D_fake 0.003942
[1222/5000][435/535][126088] Loss_D: -0.020548 Loss_G: 0.011247 Loss_D_real: -0.021116 Loss_D_fake -0.000568
[1222/5000][440/535][126089] Loss_D: -0.019853 Loss_G: -0.022670 Loss_D_real: -0.002036 Loss_D_fake 0.017817
[1222/5000][445/535][126090] Loss_D: -0.021128 Loss_G: -0.000273 Loss_D_real: -0.019525 Loss_D_fake 0.001603
[1222/5000][450/535][126091] Loss_D: -0.020706 Loss_G: 0.007176 Loss_D_real: -0.013233 Loss_D_fake 0.007473
[1222/5000][455/535][126092] Loss_D: -0.021620 Loss_G: -0.005868 Loss_D_real: -0.007184 Loss_D_fake 0.014437
[1222/5000][460/535][126093] Loss_D: -0.020038 Loss_G: 0.035041 Loss_D_real: -0.031844 Loss_D_fake -0.011805
[1222/5000][465/535][126094] Loss_D: -0.020708 Loss_G: 0.007645 Loss_D_real: -0.015644 Loss_D_fake 0.005064
[1222/5000][470/535][126095] Loss_D: -0.020872 Loss_G: -0.005712 Loss_D_real: -0.002869 Loss_D_fake 0.018003
[1222/5000][475/535][126096] Loss_D: -0.020384 Loss_G: 0.011910 Loss_D_real: -0.025732 Loss_D_fake -0.005348
[1222/5000][480/535][126097] Loss_D: -0.020418 Loss_G: 0.009984 Loss_D_real: -0.000898 Loss_D_fake 0.019520
[1222/5000][485/535][126098] Loss_D: -0.018697 Loss_G: 0.019083 Loss_D_real: -0.015367 Loss_D_fake 0.003330
[1222/5000][490/535][126099] Loss_D: -0.019562 Loss_G: 0.001996 Loss_D_real: -0.001622 Loss_D_fake 0.017939
[1222/5000][495/535][126100] Loss_D: -0.019052 Loss_G: 0.002497 Loss_D_real: -0.029763 Loss_D_fake -0.010712
[1222/5000][500/535][126101] Loss_D: -0.020989 Loss_G: 0.009976 Loss_D_real: -0.013637 Loss_D_fake 0.007352
[1222/5000][505/535][126102] Loss_D: -0.020620 Loss_G: 0.009492 Loss_D_real: -0.014573 Loss_D_fake 0.006047
[1222/5000][510/535][126103] Loss_D: -0.020941 Loss_G: -0.010122 Loss_D_real: -0.015404 Loss_D_fake 0.005537
[1222/5000][515/535][126104] Loss_D: -0.018959 Loss_G: 0.023550 Loss_D_real: -0.031806 Loss_D_fake -0.012847
[1222/5000][520/535][126105] Loss_D: -0.020670 Loss_G: -0.008324 Loss_D_real: -0.010673 Loss_D_fake 0.009997
[1222/5000][525/535][126106] Loss_D: -0.017785 Loss_G: 0.027125 Loss_D_real: -0.036652 Loss_D_fake -0.018867
[1222/5000][530/535][126107] Loss_D: -0.019766 Loss_G: -0.001257 Loss_D_real: -0.010311 Loss_D_fake 0.009456
[1222/5000][535/535][126108] Loss_D: -0.016233 Loss_G: -0.037378 Loss_D_real: -0.009665 Loss_D_fake 0.006568
[1223/5000][5/535][126109] Loss_D: -0.020637 Loss_G: 0.014683 Loss_D_real: -0.009598 Loss_D_fake 0.011039
[1223/5000][10/535][126110] Loss_D: -0.020085 Loss_G: 0.008195 Loss_D_real: -0.022321 Loss_D_fake -0.002237
[1223/5000][15/535][126111] Loss_D: -0.019997 Loss_G: 0.021016 Loss_D_real: -0.024564 Loss_D_fake -0.004567
[1223/5000][20/535][126112] Loss_D: -0.020917 Loss_G: 0.004358 Loss_D_real: -0.000162 Loss_D_fake 0.020755
[1223/5000][25/535][126113] Loss_D: -0.020671 Loss_G: 0.012441 Loss_D_real: -0.038465 Loss_D_fake -0.017794
[1223/5000][30/535][126114] Loss_D: -0.020458 Loss_G: -0.015731 Loss_D_real: -0.000679 Loss_D_fake 0.019780
[1223/5000][35/535][126115] Loss_D: -0.020399 Loss_G: 0.010903 Loss_D_real: -0.007208 Loss_D_fake 0.013191
[1223/5000][40/535][126116] Loss_D: -0.020751 Loss_G: 0.008026 Loss_D_real: -0.016850 Loss_D_fake 0.003901
[1223/5000][45/535][126117] Loss_D: -0.019699 Loss_G: -0.008036 Loss_D_real: -0.006893 Loss_D_fake 0.012806
[1223/5000][50/535][126118] Loss_D: -0.019878 Loss_G: 0.001247 Loss_D_real: -0.003264 Loss_D_fake 0.016614
[1223/5000][55/535][126119] Loss_D: -0.021108 Loss_G: 0.012918 Loss_D_real: -0.024091 Loss_D_fake -0.002983
[1223/5000][60/535][126120] Loss_D: -0.019941 Loss_G: -0.011585 Loss_D_real: -0.008983 Loss_D_fake 0.010958
[1223/5000][65/535][126121] Loss_D: -0.020314 Loss_G: 0.011852 Loss_D_real: -0.033461 Loss_D_fake -0.013148
[1223/5000][70/535][126122] Loss_D: -0.019805 Loss_G: 0.012925 Loss_D_real: -0.018946 Loss_D_fake 0.000859
[1223/5000][75/535][126123] Loss_D: -0.019378 Loss_G: -0.005821 Loss_D_real: -0.016768 Loss_D_fake 0.002610
[1223/5000][80/535][126124] Loss_D: -0.021229 Loss_G: 0.002495 Loss_D_real: -0.001580 Loss_D_fake 0.019648
[1223/5000][85/535][126125] Loss_D: -0.019546 Loss_G: 0.022002 Loss_D_real: -0.022866 Loss_D_fake -0.003320
[1223/5000][90/535][126126] Loss_D: -0.020990 Loss_G: 0.010424 Loss_D_real: -0.017305 Loss_D_fake 0.003685
[1223/5000][95/535][126127] Loss_D: -0.019449 Loss_G: 0.002473 Loss_D_real: -0.022967 Loss_D_fake -0.003517
[1223/5000][100/535][126128] Loss_D: -0.018630 Loss_G: -0.022674 Loss_D_real: -0.006120 Loss_D_fake 0.012510
[1223/5000][105/535][126129] Loss_D: -0.020997 Loss_G: -0.000299 Loss_D_real: -0.004971 Loss_D_fake 0.016026
[1223/5000][110/535][126130] Loss_D: -0.021031 Loss_G: 0.009119 Loss_D_real: -0.014740 Loss_D_fake 0.006291
[1223/5000][115/535][126131] Loss_D: -0.020621 Loss_G: 0.003655 Loss_D_real: -0.023493 Loss_D_fake -0.002872
[1223/5000][120/535][126132] Loss_D: -0.020209 Loss_G: -0.000588 Loss_D_real: -0.012542 Loss_D_fake 0.007667
[1223/5000][125/535][126133] Loss_D: -0.020380 Loss_G: 0.016968 Loss_D_real: -0.024493 Loss_D_fake -0.004113
[1223/5000][130/535][126134] Loss_D: -0.020312 Loss_G: 0.005942 Loss_D_real: -0.009135 Loss_D_fake 0.011177
[1223/5000][135/535][126135] Loss_D: -0.019960 Loss_G: -0.006200 Loss_D_real: -0.008614 Loss_D_fake 0.011346
[1223/5000][140/535][126136] Loss_D: -0.020246 Loss_G: -0.011574 Loss_D_real: 0.001582 Loss_D_fake 0.021828
[1223/5000][145/535][126137] Loss_D: -0.020750 Loss_G: -0.000939 Loss_D_real: -0.005268 Loss_D_fake 0.015482
[1223/5000][150/535][126138] Loss_D: -0.019619 Loss_G: 0.017962 Loss_D_real: -0.027979 Loss_D_fake -0.008361
[1223/5000][155/535][126139] Loss_D: -0.019682 Loss_G: 0.000528 Loss_D_real: -0.003441 Loss_D_fake 0.016241
[1223/5000][160/535][126140] Loss_D: -0.020886 Loss_G: 0.015991 Loss_D_real: -0.015178 Loss_D_fake 0.005708
[1223/5000][165/535][126141] Loss_D: -0.020329 Loss_G: 0.014531 Loss_D_real: -0.029503 Loss_D_fake -0.009174
[1223/5000][170/535][126142] Loss_D: -0.020010 Loss_G: 0.013679 Loss_D_real: -0.025473 Loss_D_fake -0.005463
[1223/5000][175/535][126143] Loss_D: -0.018628 Loss_G: -0.012804 Loss_D_real: 0.009175 Loss_D_fake 0.027802
[1223/5000][180/535][126144] Loss_D: -0.019485 Loss_G: 0.017475 Loss_D_real: -0.035459 Loss_D_fake -0.015974
[1223/5000][185/535][126145] Loss_D: -0.020219 Loss_G: 0.011551 Loss_D_real: -0.027048 Loss_D_fake -0.006829
[1223/5000][190/535][126146] Loss_D: -0.019853 Loss_G: 0.021557 Loss_D_real: -0.021083 Loss_D_fake -0.001230
[1223/5000][195/535][126147] Loss_D: -0.021048 Loss_G: 0.000390 Loss_D_real: -0.021735 Loss_D_fake -0.000687
[1223/5000][200/535][126148] Loss_D: -0.019362 Loss_G: 0.020561 Loss_D_real: -0.025603 Loss_D_fake -0.006240
[1223/5000][205/535][126149] Loss_D: -0.020467 Loss_G: -0.008350 Loss_D_real: -0.012216 Loss_D_fake 0.008252
[1223/5000][210/535][126150] Loss_D: -0.019575 Loss_G: -0.007522 Loss_D_real: -0.006470 Loss_D_fake 0.013105
[1223/5000][215/535][126151] Loss_D: -0.020248 Loss_G: 0.012043 Loss_D_real: -0.023009 Loss_D_fake -0.002762
[1223/5000][220/535][126152] Loss_D: -0.020557 Loss_G: 0.003357 Loss_D_real: -0.014770 Loss_D_fake 0.005787
[1223/5000][225/535][126153] Loss_D: -0.020173 Loss_G: -0.006468 Loss_D_real: -0.013593 Loss_D_fake 0.006580
[1223/5000][230/535][126154] Loss_D: -0.020705 Loss_G: 0.008062 Loss_D_real: -0.011698 Loss_D_fake 0.009007
[1223/5000][235/535][126155] Loss_D: -0.020236 Loss_G: 0.006120 Loss_D_real: -0.008188 Loss_D_fake 0.012047
[1223/5000][240/535][126156] Loss_D: -0.019742 Loss_G: 0.013542 Loss_D_real: -0.029919 Loss_D_fake -0.010177
[1223/5000][245/535][126157] Loss_D: -0.019827 Loss_G: -0.000730 Loss_D_real: -0.003873 Loss_D_fake 0.015954
[1223/5000][250/535][126158] Loss_D: -0.020510 Loss_G: 0.004520 Loss_D_real: -0.007071 Loss_D_fake 0.013439
[1223/5000][255/535][126159] Loss_D: -0.019828 Loss_G: 0.003010 Loss_D_real: -0.018719 Loss_D_fake 0.001109
[1223/5000][260/535][126160] Loss_D: -0.019037 Loss_G: 0.025984 Loss_D_real: -0.029604 Loss_D_fake -0.010567
[1223/5000][265/535][126161] Loss_D: -0.020103 Loss_G: 0.013692 Loss_D_real: -0.020547 Loss_D_fake -0.000444
[1223/5000][270/535][126162] Loss_D: -0.021306 Loss_G: 0.016224 Loss_D_real: -0.019217 Loss_D_fake 0.002089
[1223/5000][275/535][126163] Loss_D: -0.019829 Loss_G: 0.020083 Loss_D_real: -0.029754 Loss_D_fake -0.009925
[1223/5000][280/535][126164] Loss_D: -0.020324 Loss_G: -0.004404 Loss_D_real: 0.000716 Loss_D_fake 0.021040
[1223/5000][285/535][126165] Loss_D: -0.020396 Loss_G: 0.013411 Loss_D_real: -0.030918 Loss_D_fake -0.010522
[1223/5000][290/535][126166] Loss_D: -0.021634 Loss_G: 0.000346 Loss_D_real: -0.024909 Loss_D_fake -0.003274
[1223/5000][295/535][126167] Loss_D: -0.021032 Loss_G: 0.001371 Loss_D_real: -0.018967 Loss_D_fake 0.002065
[1223/5000][300/535][126168] Loss_D: -0.019699 Loss_G: -0.011082 Loss_D_real: -0.003197 Loss_D_fake 0.016501
[1223/5000][305/535][126169] Loss_D: -0.019194 Loss_G: 0.020772 Loss_D_real: -0.026824 Loss_D_fake -0.007629
[1223/5000][310/535][126170] Loss_D: -0.018526 Loss_G: 0.001952 Loss_D_real: -0.005393 Loss_D_fake 0.013133
[1223/5000][315/535][126171] Loss_D: -0.019923 Loss_G: 0.003921 Loss_D_real: -0.014338 Loss_D_fake 0.005585
[1223/5000][320/535][126172] Loss_D: -0.020215 Loss_G: 0.015978 Loss_D_real: -0.036322 Loss_D_fake -0.016107
[1223/5000][325/535][126173] Loss_D: -0.020655 Loss_G: 0.003919 Loss_D_real: -0.010082 Loss_D_fake 0.010573
[1223/5000][330/535][126174] Loss_D: -0.020227 Loss_G: -0.013671 Loss_D_real: -0.012460 Loss_D_fake 0.007768
[1223/5000][335/535][126175] Loss_D: -0.021124 Loss_G: 0.012535 Loss_D_real: -0.027567 Loss_D_fake -0.006443
[1223/5000][340/535][126176] Loss_D: -0.020832 Loss_G: 0.008577 Loss_D_real: -0.018936 Loss_D_fake 0.001896
[1223/5000][345/535][126177] Loss_D: -0.019423 Loss_G: -0.007678 Loss_D_real: -0.006848 Loss_D_fake 0.012575
[1223/5000][350/535][126178] Loss_D: -0.020003 Loss_G: 0.009620 Loss_D_real: -0.018585 Loss_D_fake 0.001418
[1223/5000][355/535][126179] Loss_D: -0.019850 Loss_G: -0.004858 Loss_D_real: -0.011669 Loss_D_fake 0.008181
[1223/5000][360/535][126180] Loss_D: -0.020596 Loss_G: 0.015571 Loss_D_real: -0.028220 Loss_D_fake -0.007624
[1223/5000][365/535][126181] Loss_D: -0.020572 Loss_G: 0.003388 Loss_D_real: -0.015674 Loss_D_fake 0.004898
[1223/5000][370/535][126182] Loss_D: -0.021806 Loss_G: 0.000321 Loss_D_real: -0.008416 Loss_D_fake 0.013390
[1223/5000][375/535][126183] Loss_D: -0.020624 Loss_G: 0.011952 Loss_D_real: -0.016678 Loss_D_fake 0.003946
[1223/5000][380/535][126184] Loss_D: -0.020674 Loss_G: 0.002002 Loss_D_real: -0.022072 Loss_D_fake -0.001397
[1223/5000][385/535][126185] Loss_D: -0.020561 Loss_G: -0.017886 Loss_D_real: -0.003295 Loss_D_fake 0.017266
[1223/5000][390/535][126186] Loss_D: -0.019797 Loss_G: -0.009485 Loss_D_real: -0.009184 Loss_D_fake 0.010613
[1223/5000][395/535][126187] Loss_D: -0.021094 Loss_G: 0.003615 Loss_D_real: -0.011273 Loss_D_fake 0.009821
[1223/5000][400/535][126188] Loss_D: -0.020112 Loss_G: 0.004862 Loss_D_real: -0.020927 Loss_D_fake -0.000815
[1223/5000][405/535][126189] Loss_D: -0.019353 Loss_G: 0.025503 Loss_D_real: -0.019623 Loss_D_fake -0.000269
[1223/5000][410/535][126190] Loss_D: -0.019551 Loss_G: -0.005818 Loss_D_real: -0.012619 Loss_D_fake 0.006933
[1223/5000][415/535][126191] Loss_D: -0.018082 Loss_G: 0.015804 Loss_D_real: -0.029296 Loss_D_fake -0.011214
[1223/5000][420/535][126192] Loss_D: -0.020305 Loss_G: -0.004980 Loss_D_real: -0.025282 Loss_D_fake -0.004978
[1223/5000][425/535][126193] Loss_D: -0.019354 Loss_G: 0.003460 Loss_D_real: -0.020484 Loss_D_fake -0.001131
[1223/5000][430/535][126194] Loss_D: -0.020890 Loss_G: 0.012035 Loss_D_real: -0.013454 Loss_D_fake 0.007436
[1223/5000][435/535][126195] Loss_D: -0.020843 Loss_G: 0.012630 Loss_D_real: -0.021364 Loss_D_fake -0.000521
[1223/5000][440/535][126196] Loss_D: -0.020691 Loss_G: -0.004785 Loss_D_real: 0.006759 Loss_D_fake 0.027450
[1223/5000][445/535][126197] Loss_D: -0.021709 Loss_G: -0.006844 Loss_D_real: -0.017419 Loss_D_fake 0.004290
[1223/5000][450/535][126198] Loss_D: -0.020155 Loss_G: 0.013292 Loss_D_real: -0.018494 Loss_D_fake 0.001661
[1223/5000][455/535][126199] Loss_D: -0.020878 Loss_G: 0.016997 Loss_D_real: -0.031197 Loss_D_fake -0.010318
[1223/5000][460/535][126200] Loss_D: -0.019830 Loss_G: -0.010399 Loss_D_real: 0.003145 Loss_D_fake 0.022975
[1223/5000][465/535][126201] Loss_D: -0.017798 Loss_G: 0.028476 Loss_D_real: -0.027347 Loss_D_fake -0.009549
[1223/5000][470/535][126202] Loss_D: -0.021163 Loss_G: -0.010561 Loss_D_real: -0.005113 Loss_D_fake 0.016050
[1223/5000][475/535][126203] Loss_D: -0.018949 Loss_G: 0.023534 Loss_D_real: -0.028213 Loss_D_fake -0.009263
[1223/5000][480/535][126204] Loss_D: -0.020000 Loss_G: -0.003150 Loss_D_real: -0.018620 Loss_D_fake 0.001381
[1223/5000][485/535][126205] Loss_D: -0.019990 Loss_G: 0.009575 Loss_D_real: -0.016515 Loss_D_fake 0.003475
[1223/5000][490/535][126206] Loss_D: -0.019874 Loss_G: 0.009232 Loss_D_real: -0.007771 Loss_D_fake 0.012103
[1223/5000][495/535][126207] Loss_D: -0.021710 Loss_G: 0.002553 Loss_D_real: -0.014475 Loss_D_fake 0.007236
[1223/5000][500/535][126208] Loss_D: -0.020540 Loss_G: 0.015276 Loss_D_real: -0.018813 Loss_D_fake 0.001727
[1223/5000][505/535][126209] Loss_D: -0.019583 Loss_G: 0.013251 Loss_D_real: -0.030447 Loss_D_fake -0.010864
[1223/5000][510/535][126210] Loss_D: -0.021313 Loss_G: 0.001014 Loss_D_real: -0.011249 Loss_D_fake 0.010064
[1223/5000][515/535][126211] Loss_D: -0.020920 Loss_G: 0.018008 Loss_D_real: -0.027872 Loss_D_fake -0.006952
[1223/5000][520/535][126212] Loss_D: -0.020286 Loss_G: 0.002000 Loss_D_real: -0.012911 Loss_D_fake 0.007375
[1223/5000][525/535][126213] Loss_D: -0.019446 Loss_G: -0.010483 Loss_D_real: -0.002785 Loss_D_fake 0.016661
[1223/5000][530/535][126214] Loss_D: -0.020074 Loss_G: 0.005965 Loss_D_real: -0.011079 Loss_D_fake 0.008995
[1223/5000][535/535][126215] Loss_D: -0.019448 Loss_G: -0.000622 Loss_D_real: -0.025329 Loss_D_fake -0.005881
[1224/5000][5/535][126216] Loss_D: -0.019931 Loss_G: 0.025241 Loss_D_real: -0.031414 Loss_D_fake -0.011483
[1224/5000][10/535][126217] Loss_D: -0.018865 Loss_G: 0.018937 Loss_D_real: -0.025310 Loss_D_fake -0.006445
[1224/5000][15/535][126218] Loss_D: -0.021201 Loss_G: 0.008002 Loss_D_real: -0.017699 Loss_D_fake 0.003502
[1224/5000][20/535][126219] Loss_D: -0.019389 Loss_G: -0.004577 Loss_D_real: -0.013664 Loss_D_fake 0.005725
[1224/5000][25/535][126220] Loss_D: -0.018676 Loss_G: 0.036590 Loss_D_real: -0.025912 Loss_D_fake -0.007235
[1224/5000][30/535][126221] Loss_D: -0.018389 Loss_G: 0.007185 Loss_D_real: -0.023239 Loss_D_fake -0.004850
[1224/5000][35/535][126222] Loss_D: -0.020058 Loss_G: -0.001618 Loss_D_real: -0.016966 Loss_D_fake 0.003092
[1224/5000][40/535][126223] Loss_D: -0.020305 Loss_G: 0.003417 Loss_D_real: -0.001518 Loss_D_fake 0.018787
[1224/5000][45/535][126224] Loss_D: -0.019659 Loss_G: -0.010823 Loss_D_real: -0.017190 Loss_D_fake 0.002468
[1224/5000][50/535][126225] Loss_D: -0.020747 Loss_G: 0.007415 Loss_D_real: -0.008367 Loss_D_fake 0.012380
[1224/5000][55/535][126226] Loss_D: -0.020801 Loss_G: 0.002464 Loss_D_real: -0.008059 Loss_D_fake 0.012743
[1224/5000][60/535][126227] Loss_D: -0.019789 Loss_G: 0.034308 Loss_D_real: -0.029386 Loss_D_fake -0.009597
[1224/5000][65/535][126228] Loss_D: -0.018919 Loss_G: -0.019917 Loss_D_real: 0.009423 Loss_D_fake 0.028342
[1224/5000][70/535][126229] Loss_D: -0.020017 Loss_G: 0.005190 Loss_D_real: -0.018003 Loss_D_fake 0.002014
[1224/5000][75/535][126230] Loss_D: -0.019152 Loss_G: -0.010756 Loss_D_real: 0.001865 Loss_D_fake 0.021016
[1224/5000][80/535][126231] Loss_D: -0.020641 Loss_G: -0.000778 Loss_D_real: -0.016491 Loss_D_fake 0.004150
[1224/5000][85/535][126232] Loss_D: -0.020280 Loss_G: 0.006480 Loss_D_real: -0.018408 Loss_D_fake 0.001872
[1224/5000][90/535][126233] Loss_D: -0.020949 Loss_G: 0.005093 Loss_D_real: -0.020441 Loss_D_fake 0.000508
[1224/5000][95/535][126234] Loss_D: -0.021038 Loss_G: 0.018594 Loss_D_real: -0.018599 Loss_D_fake 0.002439
[1224/5000][100/535][126235] Loss_D: -0.020160 Loss_G: -0.008715 Loss_D_real: -0.013181 Loss_D_fake 0.006979
[1224/5000][105/535][126236] Loss_D: -0.020921 Loss_G: 0.007005 Loss_D_real: -0.016194 Loss_D_fake 0.004727
[1224/5000][110/535][126237] Loss_D: -0.021055 Loss_G: -0.011127 Loss_D_real: -0.009035 Loss_D_fake 0.012020
[1224/5000][115/535][126238] Loss_D: -0.020490 Loss_G: 0.009190 Loss_D_real: -0.018609 Loss_D_fake 0.001880
[1224/5000][120/535][126239] Loss_D: -0.019297 Loss_G: -0.014626 Loss_D_real: 0.002800 Loss_D_fake 0.022097
[1224/5000][125/535][126240] Loss_D: -0.020158 Loss_G: 0.022993 Loss_D_real: -0.021384 Loss_D_fake -0.001227
[1224/5000][130/535][126241] Loss_D: -0.019899 Loss_G: -0.017842 Loss_D_real: -0.006165 Loss_D_fake 0.013734
[1224/5000][135/535][126242] Loss_D: -0.018920 Loss_G: 0.018193 Loss_D_real: -0.019226 Loss_D_fake -0.000306
[1224/5000][140/535][126243] Loss_D: -0.020186 Loss_G: 0.003605 Loss_D_real: -0.013942 Loss_D_fake 0.006244
[1224/5000][145/535][126244] Loss_D: -0.020139 Loss_G: 0.007424 Loss_D_real: -0.018042 Loss_D_fake 0.002097
[1224/5000][150/535][126245] Loss_D: -0.018834 Loss_G: 0.008377 Loss_D_real: -0.024739 Loss_D_fake -0.005905
[1224/5000][155/535][126246] Loss_D: -0.020622 Loss_G: 0.011746 Loss_D_real: -0.019022 Loss_D_fake 0.001600
[1224/5000][160/535][126247] Loss_D: -0.020609 Loss_G: -0.007697 Loss_D_real: -0.010087 Loss_D_fake 0.010522
[1224/5000][165/535][126248] Loss_D: -0.022293 Loss_G: -0.012404 Loss_D_real: -0.003451 Loss_D_fake 0.018842
[1224/5000][170/535][126249] Loss_D: -0.021070 Loss_G: 0.013268 Loss_D_real: -0.015196 Loss_D_fake 0.005874
[1224/5000][175/535][126250] Loss_D: -0.020498 Loss_G: 0.014990 Loss_D_real: -0.027288 Loss_D_fake -0.006790
[1224/5000][180/535][126251] Loss_D: -0.021788 Loss_G: 0.005112 Loss_D_real: -0.019364 Loss_D_fake 0.002423
[1224/5000][185/535][126252] Loss_D: -0.020244 Loss_G: 0.004743 Loss_D_real: -0.024541 Loss_D_fake -0.004297
[1224/5000][190/535][126253] Loss_D: -0.021708 Loss_G: 0.013604 Loss_D_real: -0.018661 Loss_D_fake 0.003047
[1224/5000][195/535][126254] Loss_D: -0.021023 Loss_G: -0.005166 Loss_D_real: -0.015819 Loss_D_fake 0.005204
[1224/5000][200/535][126255] Loss_D: -0.021092 Loss_G: 0.012626 Loss_D_real: -0.020651 Loss_D_fake 0.000440
[1224/5000][205/535][126256] Loss_D: -0.020148 Loss_G: -0.003670 Loss_D_real: -0.006171 Loss_D_fake 0.013977
[1224/5000][210/535][126257] Loss_D: -0.020423 Loss_G: 0.002875 Loss_D_real: -0.017077 Loss_D_fake 0.003346
[1224/5000][215/535][126258] Loss_D: -0.020318 Loss_G: 0.004888 Loss_D_real: -0.015078 Loss_D_fake 0.005240
[1224/5000][220/535][126259] Loss_D: -0.020121 Loss_G: 0.020297 Loss_D_real: -0.010792 Loss_D_fake 0.009329
[1224/5000][225/535][126260] Loss_D: -0.020083 Loss_G: 0.022842 Loss_D_real: -0.023610 Loss_D_fake -0.003527
[1224/5000][230/535][126261] Loss_D: -0.019067 Loss_G: 0.009274 Loss_D_real: -0.011052 Loss_D_fake 0.008015
[1224/5000][235/535][126262] Loss_D: -0.019910 Loss_G: 0.003497 Loss_D_real: -0.021273 Loss_D_fake -0.001362
[1224/5000][240/535][126263] Loss_D: -0.018591 Loss_G: 0.021485 Loss_D_real: -0.042049 Loss_D_fake -0.023459
[1224/5000][245/535][126264] Loss_D: -0.019439 Loss_G: 0.014839 Loss_D_real: -0.026071 Loss_D_fake -0.006632
[1224/5000][250/535][126265] Loss_D: -0.019432 Loss_G: 0.007179 Loss_D_real: -0.010123 Loss_D_fake 0.009309
[1224/5000][255/535][126266] Loss_D: -0.019899 Loss_G: -0.012250 Loss_D_real: -0.014766 Loss_D_fake 0.005133
[1224/5000][260/535][126267] Loss_D: -0.020093 Loss_G: 0.013947 Loss_D_real: -0.014959 Loss_D_fake 0.005133
[1224/5000][265/535][126268] Loss_D: -0.021998 Loss_G: 0.011634 Loss_D_real: -0.011495 Loss_D_fake 0.010504
[1224/5000][270/535][126269] Loss_D: -0.020824 Loss_G: 0.007066 Loss_D_real: -0.019466 Loss_D_fake 0.001357
[1224/5000][275/535][126270] Loss_D: -0.019524 Loss_G: 0.035539 Loss_D_real: -0.035474 Loss_D_fake -0.015950
[1224/5000][280/535][126271] Loss_D: -0.020939 Loss_G: 0.004667 Loss_D_real: -0.012621 Loss_D_fake 0.008318
[1224/5000][285/535][126272] Loss_D: -0.020368 Loss_G: 0.003430 Loss_D_real: -0.015811 Loss_D_fake 0.004557
[1224/5000][290/535][126273] Loss_D: -0.020255 Loss_G: 0.005360 Loss_D_real: -0.016446 Loss_D_fake 0.003809
[1224/5000][295/535][126274] Loss_D: -0.020861 Loss_G: 0.001528 Loss_D_real: -0.024109 Loss_D_fake -0.003248
[1224/5000][300/535][126275] Loss_D: -0.019467 Loss_G: 0.011060 Loss_D_real: -0.024346 Loss_D_fake -0.004880
[1224/5000][305/535][126276] Loss_D: -0.020768 Loss_G: 0.006999 Loss_D_real: -0.018399 Loss_D_fake 0.002368
[1224/5000][310/535][126277] Loss_D: -0.020959 Loss_G: 0.010103 Loss_D_real: -0.013135 Loss_D_fake 0.007823
[1224/5000][315/535][126278] Loss_D: -0.020043 Loss_G: -0.008339 Loss_D_real: -0.002297 Loss_D_fake 0.017746
[1224/5000][320/535][126279] Loss_D: -0.021110 Loss_G: 0.017892 Loss_D_real: -0.022108 Loss_D_fake -0.000997
[1224/5000][325/535][126280] Loss_D: -0.020133 Loss_G: 0.009500 Loss_D_real: -0.025963 Loss_D_fake -0.005830
[1224/5000][330/535][126281] Loss_D: -0.021175 Loss_G: 0.014427 Loss_D_real: -0.016444 Loss_D_fake 0.004732
[1224/5000][335/535][126282] Loss_D: -0.021432 Loss_G: 0.010297 Loss_D_real: -0.035183 Loss_D_fake -0.013751
[1224/5000][340/535][126283] Loss_D: -0.020503 Loss_G: 0.019455 Loss_D_real: -0.021599 Loss_D_fake -0.001096
[1224/5000][345/535][126284] Loss_D: -0.019934 Loss_G: -0.002951 Loss_D_real: -0.007251 Loss_D_fake 0.012683
[1224/5000][350/535][126285] Loss_D: -0.019176 Loss_G: 0.002173 Loss_D_real: -0.000413 Loss_D_fake 0.018762
[1224/5000][355/535][126286] Loss_D: -0.020255 Loss_G: 0.002804 Loss_D_real: -0.014984 Loss_D_fake 0.005271
[1224/5000][360/535][126287] Loss_D: -0.020500 Loss_G: -0.003437 Loss_D_real: -0.013103 Loss_D_fake 0.007397
[1224/5000][365/535][126288] Loss_D: -0.020077 Loss_G: 0.026760 Loss_D_real: -0.025140 Loss_D_fake -0.005063
[1224/5000][370/535][126289] Loss_D: -0.020035 Loss_G: 0.017532 Loss_D_real: -0.030277 Loss_D_fake -0.010242
[1224/5000][375/535][126290] Loss_D: -0.020219 Loss_G: 0.016144 Loss_D_real: -0.027065 Loss_D_fake -0.006846
[1224/5000][380/535][126291] Loss_D: -0.021719 Loss_G: -0.000831 Loss_D_real: 0.000506 Loss_D_fake 0.022225
[1224/5000][385/535][126292] Loss_D: -0.019754 Loss_G: 0.008634 Loss_D_real: -0.030167 Loss_D_fake -0.010413
[1224/5000][390/535][126293] Loss_D: -0.020088 Loss_G: 0.013336 Loss_D_real: -0.020541 Loss_D_fake -0.000454
[1224/5000][395/535][126294] Loss_D: -0.019892 Loss_G: 0.013309 Loss_D_real: -0.002052 Loss_D_fake 0.017841
[1224/5000][400/535][126295] Loss_D: -0.018641 Loss_G: 0.000410 Loss_D_real: -0.024817 Loss_D_fake -0.006176
[1224/5000][405/535][126296] Loss_D: -0.019238 Loss_G: 0.020138 Loss_D_real: -0.030638 Loss_D_fake -0.011401
[1224/5000][410/535][126297] Loss_D: -0.020045 Loss_G: -0.006287 Loss_D_real: -0.018938 Loss_D_fake 0.001107
[1224/5000][415/535][126298] Loss_D: -0.019789 Loss_G: 0.017341 Loss_D_real: -0.020000 Loss_D_fake -0.000211
[1224/5000][420/535][126299] Loss_D: -0.020972 Loss_G: 0.002230 Loss_D_real: -0.011970 Loss_D_fake 0.009002
[1224/5000][425/535][126300] Loss_D: -0.020195 Loss_G: 0.007968 Loss_D_real: -0.017700 Loss_D_fake 0.002495
[1224/5000][430/535][126301] Loss_D: -0.021155 Loss_G: 0.005898 Loss_D_real: -0.022035 Loss_D_fake -0.000880
[1224/5000][435/535][126302] Loss_D: -0.019928 Loss_G: 0.000308 Loss_D_real: -0.012188 Loss_D_fake 0.007740
[1224/5000][440/535][126303] Loss_D: -0.019614 Loss_G: -0.001240 Loss_D_real: -0.016070 Loss_D_fake 0.003544
[1224/5000][445/535][126304] Loss_D: -0.022112 Loss_G: 0.007999 Loss_D_real: -0.014832 Loss_D_fake 0.007280
[1224/5000][450/535][126305] Loss_D: -0.021160 Loss_G: 0.030472 Loss_D_real: -0.018229 Loss_D_fake 0.002931
[1224/5000][455/535][126306] Loss_D: -0.020392 Loss_G: -0.006119 Loss_D_real: -0.028896 Loss_D_fake -0.008504
[1224/5000][460/535][126307] Loss_D: -0.019065 Loss_G: 0.003770 Loss_D_real: -0.017543 Loss_D_fake 0.001523
[1224/5000][465/535][126308] Loss_D: -0.020887 Loss_G: 0.009388 Loss_D_real: -0.010836 Loss_D_fake 0.010052
[1224/5000][470/535][126309] Loss_D: -0.021134 Loss_G: 0.000779 Loss_D_real: -0.009060 Loss_D_fake 0.012074
[1224/5000][475/535][126310] Loss_D: -0.020520 Loss_G: -0.015100 Loss_D_real: -0.007144 Loss_D_fake 0.013377
[1224/5000][480/535][126311] Loss_D: -0.019940 Loss_G: 0.008177 Loss_D_real: -0.012517 Loss_D_fake 0.007424
[1224/5000][485/535][126312] Loss_D: -0.019859 Loss_G: -0.007210 Loss_D_real: -0.001039 Loss_D_fake 0.018820
[1224/5000][490/535][126313] Loss_D: -0.020453 Loss_G: 0.004393 Loss_D_real: -0.007029 Loss_D_fake 0.013424
[1224/5000][495/535][126314] Loss_D: -0.018798 Loss_G: 0.014873 Loss_D_real: -0.016220 Loss_D_fake 0.002577
[1224/5000][500/535][126315] Loss_D: -0.020068 Loss_G: -0.003925 Loss_D_real: -0.020555 Loss_D_fake -0.000486
[1224/5000][505/535][126316] Loss_D: -0.018812 Loss_G: 0.007877 Loss_D_real: 0.005169 Loss_D_fake 0.023981
[1224/5000][510/535][126317] Loss_D: -0.020956 Loss_G: -0.004156 Loss_D_real: -0.009030 Loss_D_fake 0.011926
[1224/5000][515/535][126318] Loss_D: -0.020248 Loss_G: 0.017479 Loss_D_real: -0.015683 Loss_D_fake 0.004565
[1224/5000][520/535][126319] Loss_D: -0.021906 Loss_G: 0.010067 Loss_D_real: -0.016882 Loss_D_fake 0.005025
[1224/5000][525/535][126320] Loss_D: -0.019571 Loss_G: 0.011631 Loss_D_real: -0.018700 Loss_D_fake 0.000871
[1224/5000][530/535][126321] Loss_D: -0.020400 Loss_G: -0.006974 Loss_D_real: -0.016722 Loss_D_fake 0.003678
[1224/5000][535/535][126322] Loss_D: -0.016573 Loss_G: 0.019152 Loss_D_real: -0.034589 Loss_D_fake -0.018016
[1225/5000][5/535][126323] Loss_D: -0.022055 Loss_G: 0.016081 Loss_D_real: -0.023197 Loss_D_fake -0.001143
[1225/5000][10/535][126324] Loss_D: -0.019307 Loss_G: 0.012662 Loss_D_real: -0.027354 Loss_D_fake -0.008047
[1225/5000][15/535][126325] Loss_D: -0.021276 Loss_G: -0.010527 Loss_D_real: -0.014312 Loss_D_fake 0.006964
[1225/5000][20/535][126326] Loss_D: -0.017984 Loss_G: -0.012670 Loss_D_real: -0.010069 Loss_D_fake 0.007916
[1225/5000][25/535][126327] Loss_D: -0.019447 Loss_G: 0.025475 Loss_D_real: -0.029508 Loss_D_fake -0.010061
[1225/5000][30/535][126328] Loss_D: -0.019172 Loss_G: -0.004650 Loss_D_real: -0.012855 Loss_D_fake 0.006316
[1225/5000][35/535][126329] Loss_D: -0.019485 Loss_G: 0.032564 Loss_D_real: -0.031993 Loss_D_fake -0.012508
[1225/5000][40/535][126330] Loss_D: -0.018349 Loss_G: 0.012129 Loss_D_real: -0.021478 Loss_D_fake -0.003129
[1225/5000][45/535][126331] Loss_D: -0.020454 Loss_G: 0.009107 Loss_D_real: -0.025338 Loss_D_fake -0.004884
[1225/5000][50/535][126332] Loss_D: -0.016519 Loss_G: 0.023005 Loss_D_real: -0.025044 Loss_D_fake -0.008525
[1225/5000][55/535][126333] Loss_D: -0.018992 Loss_G: 0.019284 Loss_D_real: -0.021880 Loss_D_fake -0.002888
[1225/5000][60/535][126334] Loss_D: -0.020297 Loss_G: 0.008267 Loss_D_real: -0.025182 Loss_D_fake -0.004885
[1225/5000][65/535][126335] Loss_D: -0.020600 Loss_G: 0.014425 Loss_D_real: -0.026813 Loss_D_fake -0.006213
[1225/5000][70/535][126336] Loss_D: -0.020628 Loss_G: -0.001398 Loss_D_real: -0.007387 Loss_D_fake 0.013241
[1225/5000][75/535][126337] Loss_D: -0.019382 Loss_G: 0.019073 Loss_D_real: -0.027677 Loss_D_fake -0.008296
[1225/5000][80/535][126338] Loss_D: -0.020253 Loss_G: 0.011938 Loss_D_real: -0.020038 Loss_D_fake 0.000215
[1225/5000][85/535][126339] Loss_D: -0.021418 Loss_G: 0.004576 Loss_D_real: -0.017006 Loss_D_fake 0.004412
[1225/5000][90/535][126340] Loss_D: -0.021697 Loss_G: -0.006186 Loss_D_real: -0.020985 Loss_D_fake 0.000712
[1225/5000][95/535][126341] Loss_D: -0.020426 Loss_G: 0.014106 Loss_D_real: -0.023197 Loss_D_fake -0.002771
[1225/5000][100/535][126342] Loss_D: -0.021775 Loss_G: 0.005863 Loss_D_real: -0.026666 Loss_D_fake -0.004891
[1225/5000][105/535][126343] Loss_D: -0.020571 Loss_G: -0.001126 Loss_D_real: -0.006690 Loss_D_fake 0.013881
[1225/5000][110/535][126344] Loss_D: -0.019478 Loss_G: -0.002424 Loss_D_real: -0.017052 Loss_D_fake 0.002426
[1225/5000][115/535][126345] Loss_D: -0.019137 Loss_G: -0.013473 Loss_D_real: 0.003396 Loss_D_fake 0.022534
[1225/5000][120/535][126346] Loss_D: -0.019127 Loss_G: 0.001658 Loss_D_real: -0.016519 Loss_D_fake 0.002608
[1225/5000][125/535][126347] Loss_D: -0.019956 Loss_G: -0.006606 Loss_D_real: 0.001004 Loss_D_fake 0.020960
[1225/5000][130/535][126348] Loss_D: -0.018494 Loss_G: -0.004248 Loss_D_real: -0.009471 Loss_D_fake 0.009022
[1225/5000][135/535][126349] Loss_D: -0.020620 Loss_G: 0.015106 Loss_D_real: -0.029623 Loss_D_fake -0.009003
[1225/5000][140/535][126350] Loss_D: -0.020948 Loss_G: 0.013152 Loss_D_real: -0.023326 Loss_D_fake -0.002378
[1225/5000][145/535][126351] Loss_D: -0.018855 Loss_G: 0.024497 Loss_D_real: -0.024810 Loss_D_fake -0.005954
[1225/5000][150/535][126352] Loss_D: -0.020055 Loss_G: 0.013984 Loss_D_real: -0.028229 Loss_D_fake -0.008174
[1225/5000][155/535][126353] Loss_D: -0.019699 Loss_G: -0.013042 Loss_D_real: 0.008251 Loss_D_fake 0.027950
[1225/5000][160/535][126354] Loss_D: -0.020435 Loss_G: 0.011729 Loss_D_real: -0.015006 Loss_D_fake 0.005429
[1225/5000][165/535][126355] Loss_D: -0.019916 Loss_G: 0.007108 Loss_D_real: -0.008082 Loss_D_fake 0.011834
[1225/5000][170/535][126356] Loss_D: -0.019020 Loss_G: -0.009122 Loss_D_real: -0.005864 Loss_D_fake 0.013156
[1225/5000][175/535][126357] Loss_D: -0.020333 Loss_G: 0.004488 Loss_D_real: -0.019007 Loss_D_fake 0.001326
[1225/5000][180/535][126358] Loss_D: -0.020621 Loss_G: -0.004498 Loss_D_real: -0.009433 Loss_D_fake 0.011188
[1225/5000][185/535][126359] Loss_D: -0.019076 Loss_G: -0.004800 Loss_D_real: -0.010875 Loss_D_fake 0.008201
[1225/5000][190/535][126360] Loss_D: -0.020685 Loss_G: 0.012772 Loss_D_real: -0.024619 Loss_D_fake -0.003934
[1225/5000][195/535][126361] Loss_D: -0.019650 Loss_G: -0.016623 Loss_D_real: -0.000113 Loss_D_fake 0.019538
[1225/5000][200/535][126362] Loss_D: -0.020073 Loss_G: -0.003274 Loss_D_real: -0.006415 Loss_D_fake 0.013659
[1225/5000][205/535][126363] Loss_D: -0.021137 Loss_G: 0.008655 Loss_D_real: -0.028323 Loss_D_fake -0.007186
[1225/5000][210/535][126364] Loss_D: -0.021322 Loss_G: 0.003455 Loss_D_real: -0.012530 Loss_D_fake 0.008792
[1225/5000][215/535][126365] Loss_D: -0.020106 Loss_G: 0.009381 Loss_D_real: -0.024912 Loss_D_fake -0.004806
[1225/5000][220/535][126366] Loss_D: -0.020365 Loss_G: 0.013773 Loss_D_real: -0.023859 Loss_D_fake -0.003494
[1225/5000][225/535][126367] Loss_D: -0.020504 Loss_G: 0.013762 Loss_D_real: -0.024621 Loss_D_fake -0.004118
[1225/5000][230/535][126368] Loss_D: -0.020206 Loss_G: -0.018630 Loss_D_real: -0.006134 Loss_D_fake 0.014072
[1225/5000][235/535][126369] Loss_D: -0.019688 Loss_G: -0.010931 Loss_D_real: -0.015132 Loss_D_fake 0.004556
[1225/5000][240/535][126370] Loss_D: -0.020587 Loss_G: 0.010400 Loss_D_real: -0.015106 Loss_D_fake 0.005481
[1225/5000][245/535][126371] Loss_D: -0.021118 Loss_G: 0.016310 Loss_D_real: -0.020413 Loss_D_fake 0.000705
[1225/5000][250/535][126372] Loss_D: -0.020512 Loss_G: 0.020758 Loss_D_real: -0.021368 Loss_D_fake -0.000856
[1225/5000][255/535][126373] Loss_D: -0.020422 Loss_G: -0.003551 Loss_D_real: -0.015289 Loss_D_fake 0.005132
[1225/5000][260/535][126374] Loss_D: -0.019602 Loss_G: 0.015843 Loss_D_real: -0.030225 Loss_D_fake -0.010623
[1225/5000][265/535][126375] Loss_D: -0.020297 Loss_G: -0.011570 Loss_D_real: -0.000052 Loss_D_fake 0.020245
[1225/5000][270/535][126376] Loss_D: -0.019827 Loss_G: 0.006967 Loss_D_real: -0.025347 Loss_D_fake -0.005520
[1225/5000][275/535][126377] Loss_D: -0.019385 Loss_G: 0.016294 Loss_D_real: -0.011131 Loss_D_fake 0.008254
[1225/5000][280/535][126378] Loss_D: -0.019099 Loss_G: -0.005543 Loss_D_real: -0.018375 Loss_D_fake 0.000724
[1225/5000][285/535][126379] Loss_D: -0.020550 Loss_G: 0.003238 Loss_D_real: -0.021843 Loss_D_fake -0.001293
[1225/5000][290/535][126380] Loss_D: -0.018824 Loss_G: -0.000575 Loss_D_real: -0.014937 Loss_D_fake 0.003887
[1225/5000][295/535][126381] Loss_D: -0.020009 Loss_G: -0.001127 Loss_D_real: -0.000565 Loss_D_fake 0.019444
[1225/5000][300/535][126382] Loss_D: -0.019121 Loss_G: -0.000757 Loss_D_real: -0.014675 Loss_D_fake 0.004446
[1225/5000][305/535][126383] Loss_D: -0.020758 Loss_G: 0.018505 Loss_D_real: -0.021045 Loss_D_fake -0.000287
[1225/5000][310/535][126384] Loss_D: -0.019673 Loss_G: 0.011353 Loss_D_real: -0.011334 Loss_D_fake 0.008339
[1225/5000][315/535][126385] Loss_D: -0.019569 Loss_G: -0.003505 Loss_D_real: -0.011847 Loss_D_fake 0.007722
[1225/5000][320/535][126386] Loss_D: -0.019942 Loss_G: -0.007225 Loss_D_real: -0.019514 Loss_D_fake 0.000428
[1225/5000][325/535][126387] Loss_D: -0.020669 Loss_G: 0.020055 Loss_D_real: -0.020923 Loss_D_fake -0.000253
[1225/5000][330/535][126388] Loss_D: -0.019717 Loss_G: -0.012009 Loss_D_real: -0.002506 Loss_D_fake 0.017211
[1225/5000][335/535][126389] Loss_D: -0.019164 Loss_G: 0.008374 Loss_D_real: -0.020316 Loss_D_fake -0.001152
[1225/5000][340/535][126390] Loss_D: -0.020010 Loss_G: 0.012444 Loss_D_real: -0.020499 Loss_D_fake -0.000489
[1225/5000][345/535][126391] Loss_D: -0.020845 Loss_G: -0.002668 Loss_D_real: -0.002107 Loss_D_fake 0.018738
[1225/5000][350/535][126392] Loss_D: -0.020238 Loss_G: -0.012128 Loss_D_real: -0.012328 Loss_D_fake 0.007910
[1225/5000][355/535][126393] Loss_D: -0.019663 Loss_G: 0.016126 Loss_D_real: -0.027698 Loss_D_fake -0.008034
[1225/5000][360/535][126394] Loss_D: -0.020344 Loss_G: 0.000414 Loss_D_real: -0.007515 Loss_D_fake 0.012828
[1225/5000][365/535][126395] Loss_D: -0.021138 Loss_G: 0.017990 Loss_D_real: -0.019159 Loss_D_fake 0.001980
[1225/5000][370/535][126396] Loss_D: -0.020372 Loss_G: 0.017099 Loss_D_real: -0.023488 Loss_D_fake -0.003116
[1225/5000][375/535][126397] Loss_D: -0.020726 Loss_G: 0.003760 Loss_D_real: -0.012852 Loss_D_fake 0.007874
[1225/5000][380/535][126398] Loss_D: -0.020603 Loss_G: 0.017140 Loss_D_real: -0.024163 Loss_D_fake -0.003560
[1225/5000][385/535][126399] Loss_D: -0.020263 Loss_G: 0.010703 Loss_D_real: -0.018917 Loss_D_fake 0.001346
[1225/5000][390/535][126400] Loss_D: -0.020685 Loss_G: -0.001797 Loss_D_real: -0.020800 Loss_D_fake -0.000115
[1225/5000][395/535][126401] Loss_D: -0.020279 Loss_G: 0.012450 Loss_D_real: -0.026109 Loss_D_fake -0.005830
[1225/5000][400/535][126402] Loss_D: -0.021914 Loss_G: 0.013042 Loss_D_real: -0.012376 Loss_D_fake 0.009538
[1225/5000][405/535][126403] Loss_D: -0.020326 Loss_G: 0.020592 Loss_D_real: -0.025162 Loss_D_fake -0.004836
[1225/5000][410/535][126404] Loss_D: -0.020208 Loss_G: 0.015826 Loss_D_real: -0.033976 Loss_D_fake -0.013769
[1225/5000][415/535][126405] Loss_D: -0.020128 Loss_G: 0.001552 Loss_D_real: -0.009105 Loss_D_fake 0.011023
[1225/5000][420/535][126406] Loss_D: -0.019648 Loss_G: -0.006363 Loss_D_real: 0.008027 Loss_D_fake 0.027675
[1225/5000][425/535][126407] Loss_D: -0.018036 Loss_G: 0.023999 Loss_D_real: -0.024360 Loss_D_fake -0.006324
[1225/5000][430/535][126408] Loss_D: -0.019698 Loss_G: -0.000927 Loss_D_real: -0.005266 Loss_D_fake 0.014432
[1225/5000][435/535][126409] Loss_D: -0.020223 Loss_G: -0.000378 Loss_D_real: -0.015180 Loss_D_fake 0.005043
[1225/5000][440/535][126410] Loss_D: -0.018323 Loss_G: 0.032639 Loss_D_real: -0.038382 Loss_D_fake -0.020059
[1225/5000][445/535][126411] Loss_D: -0.019594 Loss_G: -0.002092 Loss_D_real: -0.004204 Loss_D_fake 0.015390
[1225/5000][450/535][126412] Loss_D: -0.018476 Loss_G: 0.018496 Loss_D_real: -0.028438 Loss_D_fake -0.009962
[1225/5000][455/535][126413] Loss_D: -0.019962 Loss_G: 0.014234 Loss_D_real: -0.021366 Loss_D_fake -0.001404
[1225/5000][460/535][126414] Loss_D: -0.019400 Loss_G: 0.005794 Loss_D_real: -0.006820 Loss_D_fake 0.012580
[1225/5000][465/535][126415] Loss_D: -0.020621 Loss_G: 0.010639 Loss_D_real: -0.022039 Loss_D_fake -0.001418
[1225/5000][470/535][126416] Loss_D: -0.019874 Loss_G: 0.018538 Loss_D_real: -0.029427 Loss_D_fake -0.009553
[1225/5000][475/535][126417] Loss_D: -0.020217 Loss_G: -0.005834 Loss_D_real: -0.011695 Loss_D_fake 0.008522
[1225/5000][480/535][126418] Loss_D: -0.019408 Loss_G: 0.001307 Loss_D_real: -0.018022 Loss_D_fake 0.001386
[1225/5000][485/535][126419] Loss_D: -0.020025 Loss_G: 0.010190 Loss_D_real: -0.014570 Loss_D_fake 0.005455
[1225/5000][490/535][126420] Loss_D: -0.020113 Loss_G: 0.023543 Loss_D_real: -0.019827 Loss_D_fake 0.000286
[1225/5000][495/535][126421] Loss_D: -0.019937 Loss_G: 0.008241 Loss_D_real: -0.007394 Loss_D_fake 0.012543
[1225/5000][500/535][126422] Loss_D: -0.019204 Loss_G: 0.019165 Loss_D_real: -0.028028 Loss_D_fake -0.008824
[1225/5000][505/535][126423] Loss_D: -0.021235 Loss_G: 0.020360 Loss_D_real: -0.018526 Loss_D_fake 0.002708
[1225/5000][510/535][126424] Loss_D: -0.020308 Loss_G: 0.008959 Loss_D_real: -0.027860 Loss_D_fake -0.007552
[1225/5000][515/535][126425] Loss_D: -0.021980 Loss_G: 0.002916 Loss_D_real: -0.020168 Loss_D_fake 0.001812
[1225/5000][520/535][126426] Loss_D: -0.020941 Loss_G: 0.004323 Loss_D_real: -0.012430 Loss_D_fake 0.008511
[1225/5000][525/535][126427] Loss_D: -0.020391 Loss_G: -0.004145 Loss_D_real: -0.013286 Loss_D_fake 0.007105
[1225/5000][530/535][126428] Loss_D: -0.019499 Loss_G: 0.021967 Loss_D_real: -0.038674 Loss_D_fake -0.019175
[1225/5000][535/535][126429] Loss_D: -0.022910 Loss_G: 0.030611 Loss_D_real: -0.015402 Loss_D_fake 0.007508
[1226/5000][5/535][126430] Loss_D: -0.020073 Loss_G: 0.012264 Loss_D_real: -0.027550 Loss_D_fake -0.007477
[1226/5000][10/535][126431] Loss_D: -0.020797 Loss_G: 0.004249 Loss_D_real: -0.023035 Loss_D_fake -0.002238
[1226/5000][15/535][126432] Loss_D: -0.019995 Loss_G: 0.003540 Loss_D_real: -0.003407 Loss_D_fake 0.016587
[1226/5000][20/535][126433] Loss_D: -0.019760 Loss_G: 0.012223 Loss_D_real: -0.016079 Loss_D_fake 0.003681
[1226/5000][25/535][126434] Loss_D: -0.019462 Loss_G: -0.014135 Loss_D_real: -0.005725 Loss_D_fake 0.013737
[1226/5000][30/535][126435] Loss_D: -0.019507 Loss_G: 0.005800 Loss_D_real: -0.014091 Loss_D_fake 0.005416
[1226/5000][35/535][126436] Loss_D: -0.018096 Loss_G: 0.018947 Loss_D_real: -0.023635 Loss_D_fake -0.005539
[1226/5000][40/535][126437] Loss_D: -0.021219 Loss_G: 0.000256 Loss_D_real: -0.008329 Loss_D_fake 0.012890
[1226/5000][45/535][126438] Loss_D: -0.017558 Loss_G: -0.014918 Loss_D_real: 0.003110 Loss_D_fake 0.020667
[1226/5000][50/535][126439] Loss_D: -0.019008 Loss_G: 0.004184 Loss_D_real: -0.014934 Loss_D_fake 0.004074
[1226/5000][55/535][126440] Loss_D: -0.019346 Loss_G: -0.001871 Loss_D_real: -0.022755 Loss_D_fake -0.003409
[1226/5000][60/535][126441] Loss_D: -0.019876 Loss_G: 0.000612 Loss_D_real: -0.009269 Loss_D_fake 0.010608
[1226/5000][65/535][126442] Loss_D: -0.019965 Loss_G: 0.012876 Loss_D_real: -0.023369 Loss_D_fake -0.003404
[1226/5000][70/535][126443] Loss_D: -0.019869 Loss_G: 0.010812 Loss_D_real: -0.014252 Loss_D_fake 0.005617
[1226/5000][75/535][126444] Loss_D: -0.020353 Loss_G: 0.005070 Loss_D_real: -0.017320 Loss_D_fake 0.003034
[1226/5000][80/535][126445] Loss_D: -0.021843 Loss_G: 0.012014 Loss_D_real: -0.012674 Loss_D_fake 0.009169
[1226/5000][85/535][126446] Loss_D: -0.019305 Loss_G: 0.020065 Loss_D_real: -0.034634 Loss_D_fake -0.015329
[1226/5000][90/535][126447] Loss_D: -0.019492 Loss_G: 0.004351 Loss_D_real: -0.018773 Loss_D_fake 0.000719
[1226/5000][95/535][126448] Loss_D: -0.019594 Loss_G: -0.002025 Loss_D_real: -0.002173 Loss_D_fake 0.017421
[1226/5000][100/535][126449] Loss_D: -0.021250 Loss_G: 0.009115 Loss_D_real: -0.010563 Loss_D_fake 0.010687
[1226/5000][105/535][126450] Loss_D: -0.021515 Loss_G: 0.005637 Loss_D_real: -0.023124 Loss_D_fake -0.001609
[1226/5000][110/535][126451] Loss_D: -0.020699 Loss_G: 0.006376 Loss_D_real: -0.016289 Loss_D_fake 0.004409
[1226/5000][115/535][126452] Loss_D: -0.020776 Loss_G: -0.001236 Loss_D_real: -0.006375 Loss_D_fake 0.014402
[1226/5000][120/535][126453] Loss_D: -0.021516 Loss_G: 0.010243 Loss_D_real: -0.018674 Loss_D_fake 0.002842
[1226/5000][125/535][126454] Loss_D: -0.018608 Loss_G: 0.033951 Loss_D_real: -0.030295 Loss_D_fake -0.011688
[1226/5000][130/535][126455] Loss_D: -0.019697 Loss_G: 0.009221 Loss_D_real: -0.011733 Loss_D_fake 0.007963
[1226/5000][135/535][126456] Loss_D: -0.021301 Loss_G: -0.000606 Loss_D_real: -0.017665 Loss_D_fake 0.003636
[1226/5000][140/535][126457] Loss_D: -0.020486 Loss_G: 0.005579 Loss_D_real: -0.035800 Loss_D_fake -0.015314
[1226/5000][145/535][126458] Loss_D: -0.019650 Loss_G: -0.010746 Loss_D_real: -0.015535 Loss_D_fake 0.004115
[1226/5000][150/535][126459] Loss_D: -0.020450 Loss_G: 0.005921 Loss_D_real: -0.015144 Loss_D_fake 0.005305
[1226/5000][155/535][126460] Loss_D: -0.018846 Loss_G: 0.021251 Loss_D_real: -0.028614 Loss_D_fake -0.009768
[1226/5000][160/535][126461] Loss_D: -0.020450 Loss_G: -0.004343 Loss_D_real: -0.011117 Loss_D_fake 0.009332
[1226/5000][165/535][126462] Loss_D: -0.019787 Loss_G: 0.008681 Loss_D_real: -0.010635 Loss_D_fake 0.009153
[1226/5000][170/535][126463] Loss_D: -0.018863 Loss_G: 0.019650 Loss_D_real: -0.023674 Loss_D_fake -0.004811
[1226/5000][175/535][126464] Loss_D: -0.020292 Loss_G: 0.003917 Loss_D_real: -0.014991 Loss_D_fake 0.005301
[1226/5000][180/535][126465] Loss_D: -0.021839 Loss_G: 0.000394 Loss_D_real: -0.011583 Loss_D_fake 0.010257
[1226/5000][185/535][126466] Loss_D: -0.019510 Loss_G: 0.015636 Loss_D_real: -0.037006 Loss_D_fake -0.017496
[1226/5000][190/535][126467] Loss_D: -0.021285 Loss_G: 0.018850 Loss_D_real: -0.014628 Loss_D_fake 0.006657
[1226/5000][195/535][126468] Loss_D: -0.019715 Loss_G: -0.004157 Loss_D_real: -0.001358 Loss_D_fake 0.018357
[1226/5000][200/535][126469] Loss_D: -0.020728 Loss_G: 0.012042 Loss_D_real: -0.023572 Loss_D_fake -0.002844
[1226/5000][205/535][126470] Loss_D: -0.020045 Loss_G: 0.015871 Loss_D_real: -0.020277 Loss_D_fake -0.000232
[1226/5000][210/535][126471] Loss_D: -0.019427 Loss_G: 0.001609 Loss_D_real: -0.001936 Loss_D_fake 0.017491
[1226/5000][215/535][126472] Loss_D: -0.020155 Loss_G: 0.011060 Loss_D_real: -0.022121 Loss_D_fake -0.001966
[1226/5000][220/535][126473] Loss_D: -0.020003 Loss_G: -0.008808 Loss_D_real: -0.000034 Loss_D_fake 0.019969
[1226/5000][225/535][126474] Loss_D: -0.020478 Loss_G: 0.001825 Loss_D_real: -0.013311 Loss_D_fake 0.007166
[1226/5000][230/535][126475] Loss_D: -0.020922 Loss_G: 0.011525 Loss_D_real: -0.023330 Loss_D_fake -0.002408
[1226/5000][235/535][126476] Loss_D: -0.020968 Loss_G: -0.000252 Loss_D_real: -0.005175 Loss_D_fake 0.015794
[1226/5000][240/535][126477] Loss_D: -0.019284 Loss_G: -0.006362 Loss_D_real: -0.006260 Loss_D_fake 0.013025
[1226/5000][245/535][126478] Loss_D: -0.019483 Loss_G: 0.003469 Loss_D_real: -0.007874 Loss_D_fake 0.011610
[1226/5000][250/535][126479] Loss_D: -0.019995 Loss_G: 0.020218 Loss_D_real: -0.024791 Loss_D_fake -0.004797
[1226/5000][255/535][126480] Loss_D: -0.019732 Loss_G: -0.013917 Loss_D_real: 0.003030 Loss_D_fake 0.022762
[1226/5000][260/535][126481] Loss_D: -0.019650 Loss_G: 0.010648 Loss_D_real: -0.022862 Loss_D_fake -0.003212
[1226/5000][265/535][126482] Loss_D: -0.020858 Loss_G: 0.018099 Loss_D_real: -0.018920 Loss_D_fake 0.001939
[1226/5000][270/535][126483] Loss_D: -0.019884 Loss_G: -0.010767 Loss_D_real: -0.003902 Loss_D_fake 0.015983
[1226/5000][275/535][126484] Loss_D: -0.020335 Loss_G: -0.011134 Loss_D_real: -0.000373 Loss_D_fake 0.019962
[1226/5000][280/535][126485] Loss_D: -0.019186 Loss_G: 0.020631 Loss_D_real: -0.033716 Loss_D_fake -0.014530
[1226/5000][285/535][126486] Loss_D: -0.021358 Loss_G: 0.007890 Loss_D_real: -0.024872 Loss_D_fake -0.003514
[1226/5000][290/535][126487] Loss_D: -0.020501 Loss_G: 0.014489 Loss_D_real: -0.023380 Loss_D_fake -0.002878
[1226/5000][295/535][126488] Loss_D: -0.021857 Loss_G: -0.004273 Loss_D_real: -0.023538 Loss_D_fake -0.001681
[1226/5000][300/535][126489] Loss_D: -0.020172 Loss_G: 0.009455 Loss_D_real: -0.010081 Loss_D_fake 0.010091
[1226/5000][305/535][126490] Loss_D: -0.021367 Loss_G: -0.006522 Loss_D_real: -0.008827 Loss_D_fake 0.012540
[1226/5000][310/535][126491] Loss_D: -0.020535 Loss_G: -0.000197 Loss_D_real: 0.009977 Loss_D_fake 0.030512
[1226/5000][315/535][126492] Loss_D: -0.020262 Loss_G: 0.020277 Loss_D_real: -0.018350 Loss_D_fake 0.001912
[1226/5000][320/535][126493] Loss_D: -0.017830 Loss_G: -0.013626 Loss_D_real: -0.001303 Loss_D_fake 0.016527
[1226/5000][325/535][126494] Loss_D: -0.020087 Loss_G: 0.001657 Loss_D_real: -0.011665 Loss_D_fake 0.008422
[1226/5000][330/535][126495] Loss_D: -0.020130 Loss_G: 0.012405 Loss_D_real: -0.024644 Loss_D_fake -0.004514
[1226/5000][335/535][126496] Loss_D: -0.019576 Loss_G: 0.010286 Loss_D_real: -0.019330 Loss_D_fake 0.000246
[1226/5000][340/535][126497] Loss_D: -0.020447 Loss_G: 0.006521 Loss_D_real: -0.027993 Loss_D_fake -0.007546
[1226/5000][345/535][126498] Loss_D: -0.020568 Loss_G: 0.005759 Loss_D_real: -0.010721 Loss_D_fake 0.009847
[1226/5000][350/535][126499] Loss_D: -0.019891 Loss_G: 0.010072 Loss_D_real: -0.017955 Loss_D_fake 0.001937
[1226/5000][355/535][126500] Loss_D: -0.019354 Loss_G: -0.004770 Loss_D_real: -0.005307 Loss_D_fake 0.014046
[1226/5000][455/535][126501] Loss_D: -0.023293 Loss_G: -0.001099 Loss_D_real: -0.019061 Loss_D_fake 0.004233
[1226/5000][460/535][126502] Loss_D: -0.019913 Loss_G: -0.003032 Loss_D_real: -0.012734 Loss_D_fake 0.007179
[1226/5000][465/535][126503] Loss_D: -0.019203 Loss_G: 0.000091 Loss_D_real: -0.018114 Loss_D_fake 0.001089
[1226/5000][470/535][126504] Loss_D: -0.017953 Loss_G: 0.025002 Loss_D_real: -0.030906 Loss_D_fake -0.012954
[1226/5000][475/535][126505] Loss_D: -0.019326 Loss_G: -0.005328 Loss_D_real: -0.006705 Loss_D_fake 0.012621
[1226/5000][480/535][126506] Loss_D: -0.019544 Loss_G: 0.001144 Loss_D_real: -0.009930 Loss_D_fake 0.009613
[1226/5000][485/535][126507] Loss_D: -0.019219 Loss_G: -0.018236 Loss_D_real: 0.003732 Loss_D_fake 0.022951
[1226/5000][490/535][126508] Loss_D: -0.018711 Loss_G: -0.010138 Loss_D_real: -0.021496 Loss_D_fake -0.002785
[1226/5000][495/535][126509] Loss_D: -0.018980 Loss_G: 0.009596 Loss_D_real: -0.009658 Loss_D_fake 0.009322
[1226/5000][500/535][126510] Loss_D: -0.018393 Loss_G: 0.014179 Loss_D_real: -0.023047 Loss_D_fake -0.004655
[1226/5000][505/535][126511] Loss_D: -0.020700 Loss_G: 0.002158 Loss_D_real: -0.011730 Loss_D_fake 0.008970
[1226/5000][510/535][126512] Loss_D: -0.019126 Loss_G: -0.001533 Loss_D_real: -0.011139 Loss_D_fake 0.007987
[1226/5000][515/535][126513] Loss_D: -0.020141 Loss_G: -0.009865 Loss_D_real: -0.005313 Loss_D_fake 0.014827
[1226/5000][520/535][126514] Loss_D: -0.020906 Loss_G: -0.003532 Loss_D_real: -0.002573 Loss_D_fake 0.018333
[1226/5000][525/535][126515] Loss_D: -0.019803 Loss_G: 0.023327 Loss_D_real: -0.018535 Loss_D_fake 0.001267
[1226/5000][530/535][126516] Loss_D: -0.020470 Loss_G: -0.004559 Loss_D_real: -0.018404 Loss_D_fake 0.002065
[1226/5000][535/535][126517] Loss_D: -0.017059 Loss_G: -0.021633 Loss_D_real: -0.009294 Loss_D_fake 0.007766
[1227/5000][5/535][126518] Loss_D: -0.020883 Loss_G: 0.000572 Loss_D_real: -0.001962 Loss_D_fake 0.018921
[1227/5000][10/535][126519] Loss_D: -0.019081 Loss_G: 0.024077 Loss_D_real: -0.026145 Loss_D_fake -0.007064
[1227/5000][15/535][126520] Loss_D: -0.020195 Loss_G: -0.009256 Loss_D_real: -0.011841 Loss_D_fake 0.008354
[1227/5000][20/535][126521] Loss_D: -0.019084 Loss_G: 0.027558 Loss_D_real: -0.031348 Loss_D_fake -0.012264
[1227/5000][25/535][126522] Loss_D: -0.018999 Loss_G: 0.014296 Loss_D_real: -0.015765 Loss_D_fake 0.003234
[1227/5000][30/535][126523] Loss_D: -0.019951 Loss_G: 0.011335 Loss_D_real: -0.021030 Loss_D_fake -0.001078
[1227/5000][35/535][126524] Loss_D: -0.019992 Loss_G: 0.001864 Loss_D_real: -0.014034 Loss_D_fake 0.005958
[1227/5000][40/535][126525] Loss_D: -0.019598 Loss_G: 0.008881 Loss_D_real: -0.023774 Loss_D_fake -0.004176
[1227/5000][45/535][126526] Loss_D: -0.020347 Loss_G: 0.002312 Loss_D_real: -0.011621 Loss_D_fake 0.008726
[1227/5000][50/535][126527] Loss_D: -0.020282 Loss_G: 0.011903 Loss_D_real: -0.025335 Loss_D_fake -0.005053
[1227/5000][55/535][126528] Loss_D: -0.020737 Loss_G: 0.018060 Loss_D_real: -0.024375 Loss_D_fake -0.003638
[1227/5000][60/535][126529] Loss_D: -0.019282 Loss_G: -0.018464 Loss_D_real: -0.006737 Loss_D_fake 0.012545
[1227/5000][65/535][126530] Loss_D: -0.019141 Loss_G: 0.001414 Loss_D_real: -0.013536 Loss_D_fake 0.005604
[1227/5000][70/535][126531] Loss_D: -0.020522 Loss_G: 0.001728 Loss_D_real: -0.026173 Loss_D_fake -0.005650
[1227/5000][75/535][126532] Loss_D: -0.019359 Loss_G: 0.005681 Loss_D_real: -0.014929 Loss_D_fake 0.004430
[1227/5000][80/535][126533] Loss_D: -0.021243 Loss_G: 0.003940 Loss_D_real: -0.007580 Loss_D_fake 0.013663
[1227/5000][85/535][126534] Loss_D: -0.019423 Loss_G: 0.025151 Loss_D_real: -0.027192 Loss_D_fake -0.007769
[1227/5000][90/535][126535] Loss_D: -0.019981 Loss_G: 0.015821 Loss_D_real: -0.019499 Loss_D_fake 0.000482
[1227/5000][95/535][126536] Loss_D: -0.018771 Loss_G: 0.014513 Loss_D_real: -0.031889 Loss_D_fake -0.013119
[1227/5000][100/535][126537] Loss_D: -0.020162 Loss_G: 0.008813 Loss_D_real: -0.014993 Loss_D_fake 0.005170
[1227/5000][105/535][126538] Loss_D: -0.019827 Loss_G: 0.006719 Loss_D_real: -0.012072 Loss_D_fake 0.007755
[1227/5000][110/535][126539] Loss_D: -0.019436 Loss_G: -0.001758 Loss_D_real: -0.022791 Loss_D_fake -0.003355
[1227/5000][115/535][126540] Loss_D: -0.020265 Loss_G: -0.012408 Loss_D_real: -0.012148 Loss_D_fake 0.008117
[1227/5000][120/535][126541] Loss_D: -0.019397 Loss_G: 0.011487 Loss_D_real: -0.020085 Loss_D_fake -0.000688
[1227/5000][125/535][126542] Loss_D: -0.020317 Loss_G: -0.010924 Loss_D_real: -0.003973 Loss_D_fake 0.016344
[1227/5000][130/535][126543] Loss_D: -0.019964 Loss_G: 0.016488 Loss_D_real: -0.021015 Loss_D_fake -0.001051
[1227/5000][135/535][126544] Loss_D: -0.020665 Loss_G: 0.016706 Loss_D_real: -0.024094 Loss_D_fake -0.003429
[1227/5000][140/535][126545] Loss_D: -0.018665 Loss_G: -0.010063 Loss_D_real: -0.005287 Loss_D_fake 0.013378
[1227/5000][145/535][126546] Loss_D: -0.019361 Loss_G: 0.007478 Loss_D_real: -0.015221 Loss_D_fake 0.004139
[1227/5000][150/535][126547] Loss_D: -0.020028 Loss_G: 0.018543 Loss_D_real: -0.029894 Loss_D_fake -0.009866
[1227/5000][155/535][126548] Loss_D: -0.020707 Loss_G: 0.005055 Loss_D_real: -0.009959 Loss_D_fake 0.010747
[1227/5000][160/535][126549] Loss_D: -0.020088 Loss_G: 0.020757 Loss_D_real: -0.031442 Loss_D_fake -0.011354
[1227/5000][165/535][126550] Loss_D: -0.020999 Loss_G: 0.001491 Loss_D_real: -0.024560 Loss_D_fake -0.003561
[1227/5000][170/535][126551] Loss_D: -0.019758 Loss_G: -0.013293 Loss_D_real: -0.016920 Loss_D_fake 0.002838
[1227/5000][175/535][126552] Loss_D: -0.020052 Loss_G: -0.005508 Loss_D_real: -0.021358 Loss_D_fake -0.001306
[1227/5000][180/535][126553] Loss_D: -0.021023 Loss_G: 0.011214 Loss_D_real: -0.014816 Loss_D_fake 0.006207
[1227/5000][185/535][126554] Loss_D: -0.021535 Loss_G: 0.012291 Loss_D_real: -0.013818 Loss_D_fake 0.007717
[1227/5000][190/535][126555] Loss_D: -0.021387 Loss_G: 0.004653 Loss_D_real: -0.012718 Loss_D_fake 0.008669
[1227/5000][195/535][126556] Loss_D: -0.021810 Loss_G: 0.001378 Loss_D_real: 0.002029 Loss_D_fake 0.023838
[1227/5000][200/535][126557] Loss_D: -0.020207 Loss_G: 0.024364 Loss_D_real: -0.023297 Loss_D_fake -0.003090
[1227/5000][205/535][126558] Loss_D: -0.020203 Loss_G: -0.006427 Loss_D_real: -0.019420 Loss_D_fake 0.000783
[1227/5000][210/535][126559] Loss_D: -0.021453 Loss_G: 0.015105 Loss_D_real: -0.021166 Loss_D_fake 0.000286
[1227/5000][215/535][126560] Loss_D: -0.019883 Loss_G: -0.010526 Loss_D_real: -0.000699 Loss_D_fake 0.019184
[1227/5000][220/535][126561] Loss_D: -0.019033 Loss_G: 0.007822 Loss_D_real: -0.010305 Loss_D_fake 0.008728
[1227/5000][225/535][126562] Loss_D: -0.020026 Loss_G: 0.008916 Loss_D_real: -0.024090 Loss_D_fake -0.004064
[1227/5000][230/535][126563] Loss_D: -0.020498 Loss_G: 0.020864 Loss_D_real: -0.015379 Loss_D_fake 0.005120
[1227/5000][235/535][126564] Loss_D: -0.018453 Loss_G: -0.023562 Loss_D_real: -0.001923 Loss_D_fake 0.016530
[1227/5000][240/535][126565] Loss_D: -0.019138 Loss_G: 0.004097 Loss_D_real: -0.009336 Loss_D_fake 0.009803
[1227/5000][245/535][126566] Loss_D: -0.020115 Loss_G: 0.001754 Loss_D_real: -0.006328 Loss_D_fake 0.013787
[1227/5000][250/535][126567] Loss_D: -0.018389 Loss_G: -0.007364 Loss_D_real: -0.001535 Loss_D_fake 0.016853
[1227/5000][255/535][126568] Loss_D: -0.019292 Loss_G: 0.012578 Loss_D_real: -0.027823 Loss_D_fake -0.008531
[1227/5000][260/535][126569] Loss_D: -0.019829 Loss_G: 0.010746 Loss_D_real: -0.034477 Loss_D_fake -0.014648
[1227/5000][265/535][126570] Loss_D: -0.020678 Loss_G: 0.012801 Loss_D_real: -0.018367 Loss_D_fake 0.002311
[1227/5000][270/535][126571] Loss_D: -0.020379 Loss_G: -0.007669 Loss_D_real: -0.011763 Loss_D_fake 0.008617
[1227/5000][275/535][126572] Loss_D: -0.020208 Loss_G: 0.018466 Loss_D_real: -0.032261 Loss_D_fake -0.012053
[1227/5000][280/535][126573] Loss_D: -0.021390 Loss_G: 0.023639 Loss_D_real: -0.019179 Loss_D_fake 0.002212
[1227/5000][285/535][126574] Loss_D: -0.019716 Loss_G: 0.018801 Loss_D_real: -0.036408 Loss_D_fake -0.016692
[1227/5000][290/535][126575] Loss_D: -0.020715 Loss_G: 0.015862 Loss_D_real: -0.013893 Loss_D_fake 0.006822
[1227/5000][295/535][126576] Loss_D: -0.019432 Loss_G: -0.012569 Loss_D_real: -0.002839 Loss_D_fake 0.016593
[1227/5000][300/535][126577] Loss_D: -0.020654 Loss_G: 0.003617 Loss_D_real: -0.024796 Loss_D_fake -0.004141
[1227/5000][305/535][126578] Loss_D: -0.018247 Loss_G: -0.013793 Loss_D_real: 0.011929 Loss_D_fake 0.030176
[1227/5000][310/535][126579] Loss_D: -0.019619 Loss_G: 0.026223 Loss_D_real: -0.028169 Loss_D_fake -0.008549
[1227/5000][315/535][126580] Loss_D: -0.020439 Loss_G: 0.013476 Loss_D_real: -0.015597 Loss_D_fake 0.004842
[1227/5000][320/535][126581] Loss_D: -0.020829 Loss_G: 0.007300 Loss_D_real: -0.020871 Loss_D_fake -0.000042
[1227/5000][325/535][126582] Loss_D: -0.019244 Loss_G: -0.008549 Loss_D_real: -0.008660 Loss_D_fake 0.010583
[1227/5000][330/535][126583] Loss_D: -0.019611 Loss_G: 0.015414 Loss_D_real: -0.023301 Loss_D_fake -0.003689
[1227/5000][335/535][126584] Loss_D: -0.019967 Loss_G: 0.008221 Loss_D_real: -0.011651 Loss_D_fake 0.008316
[1227/5000][340/535][126585] Loss_D: -0.020182 Loss_G: -0.000806 Loss_D_real: -0.007067 Loss_D_fake 0.013115
[1227/5000][345/535][126586] Loss_D: -0.020029 Loss_G: 0.000383 Loss_D_real: -0.028251 Loss_D_fake -0.008222
[1227/5000][350/535][126587] Loss_D: -0.019684 Loss_G: 0.011350 Loss_D_real: -0.014789 Loss_D_fake 0.004895
[1227/5000][355/535][126588] Loss_D: -0.020404 Loss_G: 0.020315 Loss_D_real: -0.028505 Loss_D_fake -0.008101
[1227/5000][360/535][126589] Loss_D: -0.019752 Loss_G: 0.022728 Loss_D_real: -0.024336 Loss_D_fake -0.004584
[1227/5000][365/535][126590] Loss_D: -0.020444 Loss_G: -0.005263 Loss_D_real: -0.013833 Loss_D_fake 0.006611
[1227/5000][370/535][126591] Loss_D: -0.019218 Loss_G: 0.020511 Loss_D_real: -0.022266 Loss_D_fake -0.003047
[1227/5000][375/535][126592] Loss_D: -0.019896 Loss_G: -0.009990 Loss_D_real: -0.007653 Loss_D_fake 0.012243
[1227/5000][380/535][126593] Loss_D: -0.020968 Loss_G: -0.002473 Loss_D_real: -0.006225 Loss_D_fake 0.014744
[1227/5000][385/535][126594] Loss_D: -0.020025 Loss_G: 0.006737 Loss_D_real: -0.013686 Loss_D_fake 0.006338
[1227/5000][390/535][126595] Loss_D: -0.020213 Loss_G: -0.001564 Loss_D_real: -0.008803 Loss_D_fake 0.011409
[1227/5000][395/535][126596] Loss_D: -0.019479 Loss_G: 0.007207 Loss_D_real: -0.014229 Loss_D_fake 0.005250
[1227/5000][400/535][126597] Loss_D: -0.020941 Loss_G: 0.006839 Loss_D_real: -0.026946 Loss_D_fake -0.006006
[1227/5000][405/535][126598] Loss_D: -0.019776 Loss_G: 0.003291 Loss_D_real: -0.010113 Loss_D_fake 0.009663
[1227/5000][410/535][126599] Loss_D: -0.019994 Loss_G: 0.010889 Loss_D_real: -0.021894 Loss_D_fake -0.001900
[1227/5000][415/535][126600] Loss_D: -0.021051 Loss_G: 0.020399 Loss_D_real: -0.020755 Loss_D_fake 0.000296
[1227/5000][420/535][126601] Loss_D: -0.021304 Loss_G: 0.011429 Loss_D_real: -0.015189 Loss_D_fake 0.006115
[1227/5000][425/535][126602] Loss_D: -0.018950 Loss_G: -0.007544 Loss_D_real: -0.023465 Loss_D_fake -0.004515
[1227/5000][430/535][126603] Loss_D: -0.020763 Loss_G: 0.015374 Loss_D_real: -0.025318 Loss_D_fake -0.004555
[1227/5000][435/535][126604] Loss_D: -0.019781 Loss_G: 0.022534 Loss_D_real: -0.025888 Loss_D_fake -0.006107
[1227/5000][440/535][126605] Loss_D: -0.021245 Loss_G: 0.012240 Loss_D_real: -0.032955 Loss_D_fake -0.011710
[1227/5000][445/535][126606] Loss_D: -0.020095 Loss_G: -0.009474 Loss_D_real: -0.001825 Loss_D_fake 0.018271
[1227/5000][450/535][126607] Loss_D: -0.018744 Loss_G: 0.001783 Loss_D_real: -0.007122 Loss_D_fake 0.011623
[1227/5000][455/535][126608] Loss_D: -0.019851 Loss_G: 0.022391 Loss_D_real: -0.024159 Loss_D_fake -0.004308
[1227/5000][460/535][126609] Loss_D: -0.019404 Loss_G: -0.002041 Loss_D_real: -0.012353 Loss_D_fake 0.007051
[1227/5000][465/535][126610] Loss_D: -0.019743 Loss_G: 0.024760 Loss_D_real: -0.030606 Loss_D_fake -0.010864
[1227/5000][470/535][126611] Loss_D: -0.019868 Loss_G: -0.010054 Loss_D_real: 0.000398 Loss_D_fake 0.020266
[1227/5000][475/535][126612] Loss_D: -0.019472 Loss_G: -0.008171 Loss_D_real: -0.024586 Loss_D_fake -0.005114
[1227/5000][480/535][126613] Loss_D: -0.018737 Loss_G: 0.013155 Loss_D_real: -0.011352 Loss_D_fake 0.007385
[1227/5000][485/535][126614] Loss_D: -0.019502 Loss_G: 0.004423 Loss_D_real: -0.027571 Loss_D_fake -0.008069
[1227/5000][490/535][126615] Loss_D: -0.019340 Loss_G: 0.020200 Loss_D_real: -0.023673 Loss_D_fake -0.004333
[1227/5000][495/535][126616] Loss_D: -0.020123 Loss_G: 0.005234 Loss_D_real: -0.026734 Loss_D_fake -0.006611
[1227/5000][500/535][126617] Loss_D: -0.019772 Loss_G: -0.003098 Loss_D_real: -0.004728 Loss_D_fake 0.015045
[1227/5000][505/535][126618] Loss_D: -0.019443 Loss_G: -0.013597 Loss_D_real: -0.009327 Loss_D_fake 0.010116
[1227/5000][510/535][126619] Loss_D: -0.021387 Loss_G: 0.001282 Loss_D_real: -0.013844 Loss_D_fake 0.007543
[1227/5000][515/535][126620] Loss_D: -0.020664 Loss_G: 0.014665 Loss_D_real: -0.026177 Loss_D_fake -0.005513
[1227/5000][520/535][126621] Loss_D: -0.019565 Loss_G: 0.001516 Loss_D_real: -0.006960 Loss_D_fake 0.012606
[1227/5000][525/535][126622] Loss_D: -0.021138 Loss_G: 0.005179 Loss_D_real: -0.022163 Loss_D_fake -0.001025
[1227/5000][530/535][126623] Loss_D: -0.020678 Loss_G: -0.000651 Loss_D_real: -0.009422 Loss_D_fake 0.011256
[1227/5000][535/535][126624] Loss_D: -0.018122 Loss_G: 0.032681 Loss_D_real: -0.022293 Loss_D_fake -0.004170
[1228/5000][5/535][126625] Loss_D: -0.019665 Loss_G: 0.009973 Loss_D_real: -0.034931 Loss_D_fake -0.015266
[1228/5000][10/535][126626] Loss_D: -0.021328 Loss_G: -0.006994 Loss_D_real: -0.011794 Loss_D_fake 0.009534
[1228/5000][15/535][126627] Loss_D: -0.019478 Loss_G: 0.005056 Loss_D_real: -0.007553 Loss_D_fake 0.011925
[1228/5000][20/535][126628] Loss_D: -0.020815 Loss_G: 0.017097 Loss_D_real: -0.029863 Loss_D_fake -0.009047
[1228/5000][25/535][126629] Loss_D: -0.021779 Loss_G: 0.008856 Loss_D_real: -0.027411 Loss_D_fake -0.005632
[1228/5000][30/535][126630] Loss_D: -0.021133 Loss_G: 0.020918 Loss_D_real: -0.024006 Loss_D_fake -0.002873
[1228/5000][35/535][126631] Loss_D: -0.020334 Loss_G: -0.000420 Loss_D_real: -0.000240 Loss_D_fake 0.020094
[1228/5000][40/535][126632] Loss_D: -0.020117 Loss_G: 0.009124 Loss_D_real: -0.016735 Loss_D_fake 0.003382
[1228/5000][45/535][126633] Loss_D: -0.020118 Loss_G: -0.006953 Loss_D_real: -0.002476 Loss_D_fake 0.017642
[1228/5000][50/535][126634] Loss_D: -0.020459 Loss_G: 0.005793 Loss_D_real: -0.010441 Loss_D_fake 0.010018
[1228/5000][55/535][126635] Loss_D: -0.020623 Loss_G: -0.001038 Loss_D_real: -0.020324 Loss_D_fake 0.000299
[1228/5000][60/535][126636] Loss_D: -0.020215 Loss_G: 0.016286 Loss_D_real: -0.021081 Loss_D_fake -0.000865
[1228/5000][65/535][126637] Loss_D: -0.021200 Loss_G: 0.011309 Loss_D_real: -0.015812 Loss_D_fake 0.005388
[1228/5000][70/535][126638] Loss_D: -0.019518 Loss_G: -0.011515 Loss_D_real: -0.003521 Loss_D_fake 0.015997
[1228/5000][75/535][126639] Loss_D: -0.020232 Loss_G: -0.012135 Loss_D_real: -0.007270 Loss_D_fake 0.012962
[1228/5000][80/535][126640] Loss_D: -0.019585 Loss_G: 0.028366 Loss_D_real: -0.027747 Loss_D_fake -0.008162
[1228/5000][85/535][126641] Loss_D: -0.019251 Loss_G: -0.004267 Loss_D_real: -0.004700 Loss_D_fake 0.014551
[1228/5000][90/535][126642] Loss_D: -0.021696 Loss_G: 0.001657 Loss_D_real: -0.015594 Loss_D_fake 0.006103
[1228/5000][95/535][126643] Loss_D: -0.020278 Loss_G: 0.019095 Loss_D_real: -0.017524 Loss_D_fake 0.002754
[1228/5000][100/535][126644] Loss_D: -0.020809 Loss_G: 0.010039 Loss_D_real: -0.004685 Loss_D_fake 0.016124
[1228/5000][105/535][126645] Loss_D: -0.020248 Loss_G: 0.014478 Loss_D_real: -0.023635 Loss_D_fake -0.003387
[1228/5000][110/535][126646] Loss_D: -0.021518 Loss_G: 0.009183 Loss_D_real: -0.010240 Loss_D_fake 0.011278
[1228/5000][115/535][126647] Loss_D: -0.020700 Loss_G: 0.010010 Loss_D_real: -0.016755 Loss_D_fake 0.003945
[1228/5000][120/535][126648] Loss_D: -0.019833 Loss_G: 0.020890 Loss_D_real: -0.027895 Loss_D_fake -0.008062
[1228/5000][125/535][126649] Loss_D: -0.020513 Loss_G: 0.019521 Loss_D_real: -0.022146 Loss_D_fake -0.001633
[1228/5000][130/535][126650] Loss_D: -0.021331 Loss_G: -0.002924 Loss_D_real: -0.011102 Loss_D_fake 0.010230
[1228/5000][135/535][126651] Loss_D: -0.020450 Loss_G: 0.004397 Loss_D_real: -0.021680 Loss_D_fake -0.001230
[1228/5000][140/535][126652] Loss_D: -0.020853 Loss_G: -0.011420 Loss_D_real: 0.002782 Loss_D_fake 0.023634
[1228/5000][145/535][126653] Loss_D: -0.021124 Loss_G: 0.006918 Loss_D_real: -0.008399 Loss_D_fake 0.012724
[1228/5000][150/535][126654] Loss_D: -0.019619 Loss_G: 0.013163 Loss_D_real: -0.021595 Loss_D_fake -0.001976
[1228/5000][155/535][126655] Loss_D: -0.019645 Loss_G: -0.000776 Loss_D_real: -0.010192 Loss_D_fake 0.009453
[1228/5000][160/535][126656] Loss_D: -0.019139 Loss_G: 0.018388 Loss_D_real: -0.017829 Loss_D_fake 0.001311
[1228/5000][165/535][126657] Loss_D: -0.021366 Loss_G: 0.007259 Loss_D_real: -0.024384 Loss_D_fake -0.003018
[1228/5000][170/535][126658] Loss_D: -0.019975 Loss_G: 0.015406 Loss_D_real: -0.023530 Loss_D_fake -0.003555
[1228/5000][175/535][126659] Loss_D: -0.021958 Loss_G: -0.000649 Loss_D_real: -0.006150 Loss_D_fake 0.015808
[1228/5000][180/535][126660] Loss_D: -0.019944 Loss_G: 0.003453 Loss_D_real: -0.012328 Loss_D_fake 0.007615
[1228/5000][185/535][126661] Loss_D: -0.019937 Loss_G: 0.007717 Loss_D_real: -0.023766 Loss_D_fake -0.003829
[1228/5000][190/535][126662] Loss_D: -0.020394 Loss_G: 0.000246 Loss_D_real: -0.012569 Loss_D_fake 0.007825
[1228/5000][195/535][126663] Loss_D: -0.021521 Loss_G: 0.012543 Loss_D_real: -0.026490 Loss_D_fake -0.004968
[1228/5000][200/535][126664] Loss_D: -0.018413 Loss_G: 0.019871 Loss_D_real: -0.022940 Loss_D_fake -0.004528
[1228/5000][205/535][126665] Loss_D: -0.021095 Loss_G: -0.004772 Loss_D_real: -0.007913 Loss_D_fake 0.013182
[1228/5000][210/535][126666] Loss_D: -0.019575 Loss_G: 0.013633 Loss_D_real: -0.017146 Loss_D_fake 0.002428
[1228/5000][215/535][126667] Loss_D: -0.020883 Loss_G: 0.002192 Loss_D_real: -0.011794 Loss_D_fake 0.009089
[1228/5000][220/535][126668] Loss_D: -0.018932 Loss_G: 0.007701 Loss_D_real: -0.021344 Loss_D_fake -0.002413
[1228/5000][225/535][126669] Loss_D: -0.018754 Loss_G: 0.007822 Loss_D_real: -0.021838 Loss_D_fake -0.003084
[1228/5000][230/535][126670] Loss_D: -0.019183 Loss_G: 0.025896 Loss_D_real: -0.031588 Loss_D_fake -0.012405
[1228/5000][235/535][126671] Loss_D: -0.019918 Loss_G: 0.009738 Loss_D_real: -0.013583 Loss_D_fake 0.006336
[1228/5000][240/535][126672] Loss_D: -0.017748 Loss_G: 0.020020 Loss_D_real: -0.024658 Loss_D_fake -0.006911
[1228/5000][245/535][126673] Loss_D: -0.019590 Loss_G: 0.014647 Loss_D_real: -0.011127 Loss_D_fake 0.008464
[1228/5000][250/535][126674] Loss_D: -0.019532 Loss_G: -0.000992 Loss_D_real: -0.011019 Loss_D_fake 0.008512
[1228/5000][255/535][126675] Loss_D: -0.020391 Loss_G: -0.002338 Loss_D_real: -0.019988 Loss_D_fake 0.000403
[1228/5000][260/535][126676] Loss_D: -0.020908 Loss_G: 0.016728 Loss_D_real: -0.022995 Loss_D_fake -0.002087
[1228/5000][265/535][126677] Loss_D: -0.020301 Loss_G: 0.002740 Loss_D_real: -0.008640 Loss_D_fake 0.011661
[1228/5000][270/535][126678] Loss_D: -0.019238 Loss_G: -0.000714 Loss_D_real: -0.014207 Loss_D_fake 0.005031
[1228/5000][275/535][126679] Loss_D: -0.019521 Loss_G: -0.004078 Loss_D_real: -0.010444 Loss_D_fake 0.009076
[1228/5000][280/535][126680] Loss_D: -0.020452 Loss_G: 0.022927 Loss_D_real: -0.022165 Loss_D_fake -0.001713
[1228/5000][285/535][126681] Loss_D: -0.020030 Loss_G: 0.008268 Loss_D_real: -0.027382 Loss_D_fake -0.007352
[1228/5000][290/535][126682] Loss_D: -0.019258 Loss_G: -0.014990 Loss_D_real: 0.002109 Loss_D_fake 0.021368
[1228/5000][295/535][126683] Loss_D: -0.021219 Loss_G: 0.010590 Loss_D_real: -0.026477 Loss_D_fake -0.005258
[1228/5000][300/535][126684] Loss_D: -0.019683 Loss_G: 0.014617 Loss_D_real: -0.029225 Loss_D_fake -0.009542
[1228/5000][305/535][126685] Loss_D: -0.020059 Loss_G: 0.009358 Loss_D_real: -0.024384 Loss_D_fake -0.004326
[1228/5000][310/535][126686] Loss_D: -0.020732 Loss_G: -0.001109 Loss_D_real: -0.009107 Loss_D_fake 0.011625
[1228/5000][315/535][126687] Loss_D: -0.020582 Loss_G: 0.017055 Loss_D_real: -0.028757 Loss_D_fake -0.008175
[1228/5000][320/535][126688] Loss_D: -0.020619 Loss_G: 0.013080 Loss_D_real: -0.010677 Loss_D_fake 0.009942
[1228/5000][325/535][126689] Loss_D: -0.019843 Loss_G: 0.008915 Loss_D_real: -0.026436 Loss_D_fake -0.006593
[1228/5000][330/535][126690] Loss_D: -0.020295 Loss_G: 0.006524 Loss_D_real: -0.006466 Loss_D_fake 0.013829
[1228/5000][335/535][126691] Loss_D: -0.020210 Loss_G: 0.009766 Loss_D_real: -0.010114 Loss_D_fake 0.010096
[1228/5000][340/535][126692] Loss_D: -0.019519 Loss_G: 0.000185 Loss_D_real: -0.006721 Loss_D_fake 0.012798
[1228/5000][345/535][126693] Loss_D: -0.020161 Loss_G: 0.007579 Loss_D_real: -0.019821 Loss_D_fake 0.000340
[1228/5000][350/535][126694] Loss_D: -0.020042 Loss_G: -0.009405 Loss_D_real: 0.000758 Loss_D_fake 0.020800
[1228/5000][355/535][126695] Loss_D: -0.019183 Loss_G: -0.000587 Loss_D_real: -0.011113 Loss_D_fake 0.008071
[1228/5000][360/535][126696] Loss_D: -0.018708 Loss_G: -0.007384 Loss_D_real: -0.011281 Loss_D_fake 0.007427
[1228/5000][365/535][126697] Loss_D: -0.019338 Loss_G: 0.016099 Loss_D_real: -0.024345 Loss_D_fake -0.005007
[1228/5000][370/535][126698] Loss_D: -0.019372 Loss_G: 0.025939 Loss_D_real: -0.027538 Loss_D_fake -0.008166
[1228/5000][375/535][126699] Loss_D: -0.019862 Loss_G: 0.023081 Loss_D_real: -0.031176 Loss_D_fake -0.011314
[1228/5000][380/535][126700] Loss_D: -0.019732 Loss_G: 0.013718 Loss_D_real: -0.022772 Loss_D_fake -0.003041
[1228/5000][385/535][126701] Loss_D: -0.019704 Loss_G: 0.019304 Loss_D_real: -0.028779 Loss_D_fake -0.009075
[1228/5000][390/535][126702] Loss_D: -0.020311 Loss_G: -0.017805 Loss_D_real: -0.002859 Loss_D_fake 0.017453
[1228/5000][395/535][126703] Loss_D: -0.020219 Loss_G: 0.008675 Loss_D_real: -0.030849 Loss_D_fake -0.010630
[1228/5000][400/535][126704] Loss_D: -0.019988 Loss_G: 0.000853 Loss_D_real: -0.013200 Loss_D_fake 0.006788
[1228/5000][405/535][126705] Loss_D: -0.021058 Loss_G: 0.015190 Loss_D_real: -0.023374 Loss_D_fake -0.002317
[1228/5000][410/535][126706] Loss_D: -0.020134 Loss_G: 0.020845 Loss_D_real: -0.028734 Loss_D_fake -0.008600
[1228/5000][415/535][126707] Loss_D: -0.020151 Loss_G: -0.010290 Loss_D_real: -0.014652 Loss_D_fake 0.005499
[1228/5000][420/535][126708] Loss_D: -0.020238 Loss_G: -0.012033 Loss_D_real: -0.002732 Loss_D_fake 0.017507
[1228/5000][425/535][126709] Loss_D: -0.018910 Loss_G: -0.010866 Loss_D_real: -0.006297 Loss_D_fake 0.012612
[1228/5000][430/535][126710] Loss_D: -0.021008 Loss_G: 0.008362 Loss_D_real: -0.015827 Loss_D_fake 0.005181
[1228/5000][435/535][126711] Loss_D: -0.018783 Loss_G: -0.011030 Loss_D_real: -0.000296 Loss_D_fake 0.018487
[1228/5000][440/535][126712] Loss_D: -0.020470 Loss_G: 0.020511 Loss_D_real: -0.019834 Loss_D_fake 0.000636
[1228/5000][445/535][126713] Loss_D: -0.021288 Loss_G: -0.002169 Loss_D_real: -0.004688 Loss_D_fake 0.016600
[1228/5000][450/535][126714] Loss_D: -0.020565 Loss_G: 0.014468 Loss_D_real: -0.019694 Loss_D_fake 0.000871
[1228/5000][455/535][126715] Loss_D: -0.020532 Loss_G: -0.005270 Loss_D_real: -0.014493 Loss_D_fake 0.006039
[1228/5000][460/535][126716] Loss_D: -0.019842 Loss_G: -0.008876 Loss_D_real: -0.001253 Loss_D_fake 0.018590
[1228/5000][465/535][126717] Loss_D: -0.018920 Loss_G: -0.007063 Loss_D_real: -0.013252 Loss_D_fake 0.005668
[1228/5000][470/535][126718] Loss_D: -0.020554 Loss_G: 0.016000 Loss_D_real: -0.008613 Loss_D_fake 0.011941
[1228/5000][475/535][126719] Loss_D: -0.020186 Loss_G: 0.027851 Loss_D_real: -0.027734 Loss_D_fake -0.007548
[1228/5000][480/535][126720] Loss_D: -0.019711 Loss_G: -0.011806 Loss_D_real: -0.004489 Loss_D_fake 0.015222
[1228/5000][485/535][126721] Loss_D: -0.019574 Loss_G: 0.014602 Loss_D_real: -0.022227 Loss_D_fake -0.002653
[1228/5000][490/535][126722] Loss_D: -0.019791 Loss_G: -0.011307 Loss_D_real: 0.000853 Loss_D_fake 0.020644
[1228/5000][495/535][126723] Loss_D: -0.020594 Loss_G: -0.013478 Loss_D_real: -0.012280 Loss_D_fake 0.008315
[1228/5000][500/535][126724] Loss_D: -0.020590 Loss_G: 0.022606 Loss_D_real: -0.018778 Loss_D_fake 0.001813
[1228/5000][505/535][126725] Loss_D: -0.020074 Loss_G: 0.016284 Loss_D_real: -0.021626 Loss_D_fake -0.001552
[1228/5000][510/535][126726] Loss_D: -0.020139 Loss_G: 0.012393 Loss_D_real: -0.009385 Loss_D_fake 0.010754
[1228/5000][515/535][126727] Loss_D: -0.019856 Loss_G: 0.010467 Loss_D_real: -0.018722 Loss_D_fake 0.001133
[1228/5000][520/535][126728] Loss_D: -0.017635 Loss_G: 0.027183 Loss_D_real: -0.034676 Loss_D_fake -0.017041
[1228/5000][525/535][126729] Loss_D: -0.019170 Loss_G: 0.009145 Loss_D_real: -0.031311 Loss_D_fake -0.012141
[1228/5000][530/535][126730] Loss_D: -0.020602 Loss_G: -0.003770 Loss_D_real: -0.021138 Loss_D_fake -0.000537
[1228/5000][535/535][126731] Loss_D: -0.018474 Loss_G: -0.032854 Loss_D_real: 0.001658 Loss_D_fake 0.020132
[1229/5000][5/535][126732] Loss_D: -0.020803 Loss_G: 0.002904 Loss_D_real: -0.010314 Loss_D_fake 0.010489
[1229/5000][10/535][126733] Loss_D: -0.021010 Loss_G: 0.007132 Loss_D_real: -0.013348 Loss_D_fake 0.007662
[1229/5000][15/535][126734] Loss_D: -0.018607 Loss_G: 0.019170 Loss_D_real: -0.025900 Loss_D_fake -0.007293
[1229/5000][20/535][126735] Loss_D: -0.019394 Loss_G: 0.019840 Loss_D_real: -0.017799 Loss_D_fake 0.001595
[1229/5000][25/535][126736] Loss_D: -0.020239 Loss_G: 0.006780 Loss_D_real: -0.009547 Loss_D_fake 0.010692
[1229/5000][30/535][126737] Loss_D: -0.020010 Loss_G: 0.020633 Loss_D_real: -0.035196 Loss_D_fake -0.015185
[1229/5000][35/535][126738] Loss_D: -0.020568 Loss_G: 0.029519 Loss_D_real: -0.025483 Loss_D_fake -0.004914
[1229/5000][40/535][126739] Loss_D: -0.020749 Loss_G: -0.006307 Loss_D_real: -0.012254 Loss_D_fake 0.008495
[1229/5000][45/535][126740] Loss_D: -0.020328 Loss_G: -0.003680 Loss_D_real: -0.005425 Loss_D_fake 0.014903
[1229/5000][50/535][126741] Loss_D: -0.021973 Loss_G: 0.010416 Loss_D_real: -0.020783 Loss_D_fake 0.001190
[1229/5000][55/535][126742] Loss_D: -0.019004 Loss_G: 0.021293 Loss_D_real: -0.034849 Loss_D_fake -0.015845
[1229/5000][60/535][126743] Loss_D: -0.020852 Loss_G: 0.014693 Loss_D_real: -0.016850 Loss_D_fake 0.004002
[1229/5000][65/535][126744] Loss_D: -0.020159 Loss_G: -0.009997 Loss_D_real: 0.004127 Loss_D_fake 0.024286
[1229/5000][70/535][126745] Loss_D: -0.020202 Loss_G: 0.020489 Loss_D_real: -0.015878 Loss_D_fake 0.004324
[1229/5000][75/535][126746] Loss_D: -0.020492 Loss_G: 0.001122 Loss_D_real: -0.017309 Loss_D_fake 0.003183
[1229/5000][80/535][126747] Loss_D: -0.019850 Loss_G: 0.016968 Loss_D_real: -0.023689 Loss_D_fake -0.003840
[1229/5000][85/535][126748] Loss_D: -0.019427 Loss_G: -0.021600 Loss_D_real: -0.007148 Loss_D_fake 0.012279
[1229/5000][90/535][126749] Loss_D: -0.021076 Loss_G: 0.002723 Loss_D_real: -0.008840 Loss_D_fake 0.012236
[1229/5000][95/535][126750] Loss_D: -0.020005 Loss_G: 0.009027 Loss_D_real: -0.029734 Loss_D_fake -0.009729
[1229/5000][100/535][126751] Loss_D: -0.018577 Loss_G: 0.007667 Loss_D_real: -0.009428 Loss_D_fake 0.009148
[1229/5000][105/535][126752] Loss_D: -0.020204 Loss_G: -0.000861 Loss_D_real: -0.016567 Loss_D_fake 0.003637
[1229/5000][110/535][126753] Loss_D: -0.018982 Loss_G: 0.020128 Loss_D_real: -0.022320 Loss_D_fake -0.003338
[1229/5000][115/535][126754] Loss_D: -0.020459 Loss_G: 0.018099 Loss_D_real: -0.030884 Loss_D_fake -0.010424
[1229/5000][120/535][126755] Loss_D: -0.018701 Loss_G: 0.003800 Loss_D_real: -0.018791 Loss_D_fake -0.000090
[1229/5000][125/535][126756] Loss_D: -0.020282 Loss_G: 0.007864 Loss_D_real: -0.013768 Loss_D_fake 0.006514
[1229/5000][130/535][126757] Loss_D: -0.019611 Loss_G: 0.023811 Loss_D_real: -0.023235 Loss_D_fake -0.003624
[1229/5000][135/535][126758] Loss_D: -0.021458 Loss_G: 0.006193 Loss_D_real: -0.016983 Loss_D_fake 0.004475
[1229/5000][140/535][126759] Loss_D: -0.018971 Loss_G: 0.020757 Loss_D_real: -0.023828 Loss_D_fake -0.004856
[1229/5000][145/535][126760] Loss_D: -0.021025 Loss_G: -0.002856 Loss_D_real: -0.006762 Loss_D_fake 0.014263
[1229/5000][150/535][126761] Loss_D: -0.019684 Loss_G: 0.006462 Loss_D_real: -0.008136 Loss_D_fake 0.011547
[1229/5000][155/535][126762] Loss_D: -0.020746 Loss_G: 0.021527 Loss_D_real: -0.036981 Loss_D_fake -0.016234
[1229/5000][160/535][126763] Loss_D: -0.021093 Loss_G: 0.015287 Loss_D_real: -0.019378 Loss_D_fake 0.001715
[1229/5000][165/535][126764] Loss_D: -0.019181 Loss_G: 0.026592 Loss_D_real: -0.024904 Loss_D_fake -0.005723
[1229/5000][170/535][126765] Loss_D: -0.020887 Loss_G: -0.000908 Loss_D_real: -0.005668 Loss_D_fake 0.015219
[1229/5000][175/535][126766] Loss_D: -0.020707 Loss_G: 0.012152 Loss_D_real: -0.027667 Loss_D_fake -0.006960
[1229/5000][180/535][126767] Loss_D: -0.019973 Loss_G: -0.001396 Loss_D_real: -0.011805 Loss_D_fake 0.008168
[1229/5000][185/535][126768] Loss_D: -0.020411 Loss_G: 0.019885 Loss_D_real: -0.017889 Loss_D_fake 0.002521
[1229/5000][190/535][126769] Loss_D: -0.019565 Loss_G: -0.004524 Loss_D_real: -0.007847 Loss_D_fake 0.011717
[1229/5000][195/535][126770] Loss_D: -0.019901 Loss_G: 0.000050 Loss_D_real: -0.004189 Loss_D_fake 0.015712
[1229/5000][200/535][126771] Loss_D: -0.020291 Loss_G: 0.008813 Loss_D_real: 0.003895 Loss_D_fake 0.024186
[1229/5000][205/535][126772] Loss_D: -0.019264 Loss_G: 0.005481 Loss_D_real: -0.014948 Loss_D_fake 0.004316
[1229/5000][210/535][126773] Loss_D: -0.020087 Loss_G: 0.010265 Loss_D_real: -0.025408 Loss_D_fake -0.005321
[1229/5000][215/535][126774] Loss_D: -0.020937 Loss_G: -0.002677 Loss_D_real: -0.017565 Loss_D_fake 0.003372
[1229/5000][220/535][126775] Loss_D: -0.020454 Loss_G: 0.002812 Loss_D_real: -0.006546 Loss_D_fake 0.013908
[1229/5000][225/535][126776] Loss_D: -0.019011 Loss_G: 0.008868 Loss_D_real: -0.015583 Loss_D_fake 0.003428
[1229/5000][230/535][126777] Loss_D: -0.020212 Loss_G: 0.006944 Loss_D_real: -0.018482 Loss_D_fake 0.001730
[1229/5000][235/535][126778] Loss_D: -0.020522 Loss_G: -0.004174 Loss_D_real: -0.003053 Loss_D_fake 0.017469
[1229/5000][240/535][126779] Loss_D: -0.020604 Loss_G: -0.002451 Loss_D_real: -0.003064 Loss_D_fake 0.017539
[1229/5000][245/535][126780] Loss_D: -0.020459 Loss_G: 0.006531 Loss_D_real: -0.021271 Loss_D_fake -0.000812
[1229/5000][250/535][126781] Loss_D: -0.020477 Loss_G: 0.009845 Loss_D_real: -0.005192 Loss_D_fake 0.015285
[1229/5000][255/535][126782] Loss_D: -0.020595 Loss_G: 0.019453 Loss_D_real: -0.013065 Loss_D_fake 0.007531
[1229/5000][260/535][126783] Loss_D: -0.021960 Loss_G: 0.001985 Loss_D_real: -0.015483 Loss_D_fake 0.006477
[1229/5000][265/535][126784] Loss_D: -0.020287 Loss_G: -0.011496 Loss_D_real: -0.016268 Loss_D_fake 0.004019
[1229/5000][270/535][126785] Loss_D: -0.021265 Loss_G: 0.007154 Loss_D_real: -0.022578 Loss_D_fake -0.001314
[1229/5000][275/535][126786] Loss_D: -0.020974 Loss_G: -0.008725 Loss_D_real: -0.009216 Loss_D_fake 0.011757
[1229/5000][280/535][126787] Loss_D: -0.021018 Loss_G: 0.017444 Loss_D_real: 0.000459 Loss_D_fake 0.021476
[1229/5000][285/535][126788] Loss_D: -0.021134 Loss_G: -0.005257 Loss_D_real: -0.006211 Loss_D_fake 0.014923
[1229/5000][290/535][126789] Loss_D: -0.019627 Loss_G: 0.006693 Loss_D_real: -0.016237 Loss_D_fake 0.003390
[1229/5000][295/535][126790] Loss_D: -0.020102 Loss_G: 0.004421 Loss_D_real: -0.013877 Loss_D_fake 0.006224
[1229/5000][300/535][126791] Loss_D: -0.019386 Loss_G: 0.022982 Loss_D_real: -0.026099 Loss_D_fake -0.006712
[1229/5000][305/535][126792] Loss_D: -0.021068 Loss_G: -0.015070 Loss_D_real: -0.020896 Loss_D_fake 0.000172
[1229/5000][310/535][126793] Loss_D: -0.020788 Loss_G: -0.002400 Loss_D_real: -0.018899 Loss_D_fake 0.001889
[1229/5000][315/535][126794] Loss_D: -0.020416 Loss_G: 0.001343 Loss_D_real: -0.004245 Loss_D_fake 0.016171
[1229/5000][320/535][126795] Loss_D: -0.019431 Loss_G: 0.012574 Loss_D_real: -0.014923 Loss_D_fake 0.004507
[1229/5000][325/535][126796] Loss_D: -0.020029 Loss_G: 0.015129 Loss_D_real: -0.019141 Loss_D_fake 0.000889
[1229/5000][330/535][126797] Loss_D: -0.019802 Loss_G: 0.007549 Loss_D_real: -0.028778 Loss_D_fake -0.008976
[1229/5000][335/535][126798] Loss_D: -0.020302 Loss_G: 0.021213 Loss_D_real: -0.024143 Loss_D_fake -0.003841
[1229/5000][340/535][126799] Loss_D: -0.019540 Loss_G: 0.005816 Loss_D_real: -0.017852 Loss_D_fake 0.001688
[1229/5000][345/535][126800] Loss_D: -0.020367 Loss_G: 0.007864 Loss_D_real: -0.013245 Loss_D_fake 0.007122
[1229/5000][350/535][126801] Loss_D: -0.020011 Loss_G: -0.005525 Loss_D_real: -0.022231 Loss_D_fake -0.002219
[1229/5000][355/535][126802] Loss_D: -0.020263 Loss_G: -0.001377 Loss_D_real: -0.002137 Loss_D_fake 0.018127
[1229/5000][360/535][126803] Loss_D: -0.018400 Loss_G: -0.001725 Loss_D_real: -0.007229 Loss_D_fake 0.011171
[1229/5000][365/535][126804] Loss_D: -0.020685 Loss_G: 0.006880 Loss_D_real: -0.017508 Loss_D_fake 0.003177
[1229/5000][370/535][126805] Loss_D: -0.020287 Loss_G: 0.012876 Loss_D_real: -0.022600 Loss_D_fake -0.002312
[1229/5000][375/535][126806] Loss_D: -0.020270 Loss_G: 0.004180 Loss_D_real: -0.011516 Loss_D_fake 0.008755
[1229/5000][380/535][126807] Loss_D: -0.021166 Loss_G: 0.008452 Loss_D_real: -0.016499 Loss_D_fake 0.004667
[1229/5000][385/535][126808] Loss_D: -0.019918 Loss_G: -0.007769 Loss_D_real: -0.004841 Loss_D_fake 0.015077
[1229/5000][390/535][126809] Loss_D: -0.021409 Loss_G: 0.006599 Loss_D_real: -0.002356 Loss_D_fake 0.019052
[1229/5000][395/535][126810] Loss_D: -0.020773 Loss_G: 0.005360 Loss_D_real: -0.013415 Loss_D_fake 0.007358
[1229/5000][400/535][126811] Loss_D: -0.020922 Loss_G: 0.004267 Loss_D_real: -0.030074 Loss_D_fake -0.009152
[1229/5000][405/535][126812] Loss_D: -0.019931 Loss_G: 0.000420 Loss_D_real: -0.020920 Loss_D_fake -0.000989
[1229/5000][410/535][126813] Loss_D: -0.018931 Loss_G: 0.005071 Loss_D_real: -0.019539 Loss_D_fake -0.000608
[1229/5000][415/535][126814] Loss_D: -0.020101 Loss_G: 0.035463 Loss_D_real: -0.024813 Loss_D_fake -0.004712
[1229/5000][420/535][126815] Loss_D: -0.018811 Loss_G: 0.013402 Loss_D_real: -0.012603 Loss_D_fake 0.006209
[1229/5000][425/535][126816] Loss_D: -0.020721 Loss_G: 0.003223 Loss_D_real: -0.028925 Loss_D_fake -0.008205
[1229/5000][430/535][126817] Loss_D: -0.018584 Loss_G: 0.017059 Loss_D_real: -0.041945 Loss_D_fake -0.023361
[1229/5000][435/535][126818] Loss_D: -0.019237 Loss_G: 0.007676 Loss_D_real: -0.022014 Loss_D_fake -0.002778
[1229/5000][440/535][126819] Loss_D: -0.020074 Loss_G: -0.003144 Loss_D_real: -0.017569 Loss_D_fake 0.002505
[1229/5000][445/535][126820] Loss_D: -0.019753 Loss_G: -0.009753 Loss_D_real: 0.002199 Loss_D_fake 0.021952
[1229/5000][450/535][126821] Loss_D: -0.020134 Loss_G: 0.019754 Loss_D_real: -0.030430 Loss_D_fake -0.010296
[1229/5000][455/535][126822] Loss_D: -0.019378 Loss_G: -0.015295 Loss_D_real: 0.001239 Loss_D_fake 0.020617
[1229/5000][460/535][126823] Loss_D: -0.020520 Loss_G: 0.000279 Loss_D_real: -0.015871 Loss_D_fake 0.004649
[1229/5000][465/535][126824] Loss_D: -0.020068 Loss_G: 0.008949 Loss_D_real: -0.027051 Loss_D_fake -0.006983
[1229/5000][470/535][126825] Loss_D: -0.019423 Loss_G: 0.010441 Loss_D_real: -0.013224 Loss_D_fake 0.006199
[1229/5000][475/535][126826] Loss_D: -0.019524 Loss_G: -0.006251 Loss_D_real: -0.002214 Loss_D_fake 0.017309
[1229/5000][480/535][126827] Loss_D: -0.019952 Loss_G: 0.026759 Loss_D_real: -0.017920 Loss_D_fake 0.002032
[1229/5000][485/535][126828] Loss_D: -0.020627 Loss_G: 0.017938 Loss_D_real: -0.017250 Loss_D_fake 0.003377
[1229/5000][490/535][126829] Loss_D: -0.020286 Loss_G: -0.000607 Loss_D_real: -0.003049 Loss_D_fake 0.017237
[1229/5000][495/535][126830] Loss_D: -0.020476 Loss_G: 0.003740 Loss_D_real: -0.014005 Loss_D_fake 0.006471
[1229/5000][500/535][126831] Loss_D: -0.021019 Loss_G: 0.017226 Loss_D_real: -0.024048 Loss_D_fake -0.003028
[1229/5000][505/535][126832] Loss_D: -0.020403 Loss_G: -0.004944 Loss_D_real: -0.000494 Loss_D_fake 0.019909
[1229/5000][510/535][126833] Loss_D: -0.021097 Loss_G: 0.003459 Loss_D_real: -0.005173 Loss_D_fake 0.015924
[1229/5000][515/535][126834] Loss_D: -0.018691 Loss_G: 0.013263 Loss_D_real: -0.032295 Loss_D_fake -0.013603
[1229/5000][520/535][126835] Loss_D: -0.019976 Loss_G: -0.005352 Loss_D_real: -0.010247 Loss_D_fake 0.009729
[1229/5000][525/535][126836] Loss_D: -0.020480 Loss_G: 0.012985 Loss_D_real: -0.032851 Loss_D_fake -0.012371
[1229/5000][530/535][126837] Loss_D: -0.020461 Loss_G: -0.005043 Loss_D_real: -0.005697 Loss_D_fake 0.014763
[1229/5000][535/535][126838] Loss_D: -0.019728 Loss_G: 0.027677 Loss_D_real: -0.013331 Loss_D_fake 0.006397
[1230/5000][5/535][126839] Loss_D: -0.020668 Loss_G: 0.008039 Loss_D_real: -0.016456 Loss_D_fake 0.004211
[1230/5000][10/535][126840] Loss_D: -0.019902 Loss_G: -0.005790 Loss_D_real: -0.012397 Loss_D_fake 0.007505
[1230/5000][15/535][126841] Loss_D: -0.019967 Loss_G: 0.009198 Loss_D_real: -0.017509 Loss_D_fake 0.002458
[1230/5000][20/535][126842] Loss_D: -0.020258 Loss_G: -0.007864 Loss_D_real: -0.007559 Loss_D_fake 0.012700
[1230/5000][25/535][126843] Loss_D: -0.019407 Loss_G: -0.002909 Loss_D_real: -0.011362 Loss_D_fake 0.008045
[1230/5000][30/535][126844] Loss_D: -0.020246 Loss_G: 0.026241 Loss_D_real: -0.015753 Loss_D_fake 0.004493
[1230/5000][35/535][126845] Loss_D: -0.020893 Loss_G: 0.013913 Loss_D_real: -0.020283 Loss_D_fake 0.000610
[1230/5000][40/535][126846] Loss_D: -0.018348 Loss_G: 0.025836 Loss_D_real: -0.033662 Loss_D_fake -0.015314
[1230/5000][45/535][126847] Loss_D: -0.019425 Loss_G: 0.015176 Loss_D_real: -0.035276 Loss_D_fake -0.015851
[1230/5000][50/535][126848] Loss_D: -0.020474 Loss_G: 0.001948 Loss_D_real: -0.028185 Loss_D_fake -0.007710
[1230/5000][55/535][126849] Loss_D: -0.019696 Loss_G: -0.005061 Loss_D_real: -0.005155 Loss_D_fake 0.014541
[1230/5000][60/535][126850] Loss_D: -0.020216 Loss_G: -0.005352 Loss_D_real: -0.009863 Loss_D_fake 0.010353
[1230/5000][65/535][126851] Loss_D: -0.020400 Loss_G: 0.010895 Loss_D_real: -0.024616 Loss_D_fake -0.004216
[1230/5000][70/535][126852] Loss_D: -0.019711 Loss_G: 0.008763 Loss_D_real: -0.011403 Loss_D_fake 0.008308
[1230/5000][75/535][126853] Loss_D: -0.019776 Loss_G: 0.014015 Loss_D_real: -0.019989 Loss_D_fake -0.000213
[1230/5000][80/535][126854] Loss_D: -0.019810 Loss_G: 0.025715 Loss_D_real: -0.028626 Loss_D_fake -0.008816
[1230/5000][85/535][126855] Loss_D: -0.019332 Loss_G: -0.015582 Loss_D_real: -0.002975 Loss_D_fake 0.016357
[1230/5000][90/535][126856] Loss_D: -0.019267 Loss_G: 0.020894 Loss_D_real: -0.024990 Loss_D_fake -0.005723
[1230/5000][95/535][126857] Loss_D: -0.020601 Loss_G: 0.010427 Loss_D_real: -0.019830 Loss_D_fake 0.000771
[1230/5000][100/535][126858] Loss_D: -0.020220 Loss_G: 0.000234 Loss_D_real: -0.016463 Loss_D_fake 0.003757
[1230/5000][105/535][126859] Loss_D: -0.018627 Loss_G: -0.009500 Loss_D_real: -0.013082 Loss_D_fake 0.005545
[1230/5000][110/535][126860] Loss_D: -0.018727 Loss_G: 0.018430 Loss_D_real: -0.028213 Loss_D_fake -0.009486
[1230/5000][115/535][126861] Loss_D: -0.018524 Loss_G: -0.012347 Loss_D_real: 0.008458 Loss_D_fake 0.026982
[1230/5000][120/535][126862] Loss_D: -0.020102 Loss_G: 0.004843 Loss_D_real: -0.007567 Loss_D_fake 0.012535
[1230/5000][125/535][126863] Loss_D: -0.020993 Loss_G: -0.001694 Loss_D_real: -0.019281 Loss_D_fake 0.001711
[1230/5000][130/535][126864] Loss_D: -0.019741 Loss_G: -0.007532 Loss_D_real: -0.018972 Loss_D_fake 0.000769
[1230/5000][135/535][126865] Loss_D: -0.019960 Loss_G: -0.004099 Loss_D_real: -0.005482 Loss_D_fake 0.014478
[1230/5000][140/535][126866] Loss_D: -0.019565 Loss_G: 0.003461 Loss_D_real: -0.013367 Loss_D_fake 0.006198
[1230/5000][145/535][126867] Loss_D: -0.020239 Loss_G: 0.005450 Loss_D_real: -0.009041 Loss_D_fake 0.011198
[1230/5000][150/535][126868] Loss_D: -0.019526 Loss_G: 0.026139 Loss_D_real: -0.023984 Loss_D_fake -0.004458
[1230/5000][155/535][126869] Loss_D: -0.017917 Loss_G: -0.020819 Loss_D_real: 0.000266 Loss_D_fake 0.018183
[1230/5000][160/535][126870] Loss_D: -0.019984 Loss_G: -0.003262 Loss_D_real: -0.012384 Loss_D_fake 0.007600
[1230/5000][165/535][126871] Loss_D: -0.020957 Loss_G: 0.011687 Loss_D_real: -0.007949 Loss_D_fake 0.013009
[1230/5000][170/535][126872] Loss_D: -0.019317 Loss_G: -0.007378 Loss_D_real: -0.006169 Loss_D_fake 0.013148
[1230/5000][175/535][126873] Loss_D: -0.019831 Loss_G: -0.007677 Loss_D_real: 0.006840 Loss_D_fake 0.026671
[1230/5000][180/535][126874] Loss_D: -0.018363 Loss_G: 0.027375 Loss_D_real: -0.027948 Loss_D_fake -0.009585
[1230/5000][185/535][126875] Loss_D: -0.019726 Loss_G: -0.004508 Loss_D_real: -0.002681 Loss_D_fake 0.017045
[1230/5000][190/535][126876] Loss_D: -0.018968 Loss_G: 0.005758 Loss_D_real: -0.011255 Loss_D_fake 0.007713
[1230/5000][195/535][126877] Loss_D: -0.019505 Loss_G: 0.015148 Loss_D_real: -0.018856 Loss_D_fake 0.000648
[1230/5000][200/535][126878] Loss_D: -0.018902 Loss_G: 0.017067 Loss_D_real: -0.021523 Loss_D_fake -0.002621
[1230/5000][205/535][126879] Loss_D: -0.019708 Loss_G: -0.001486 Loss_D_real: -0.015693 Loss_D_fake 0.004014
[1230/5000][210/535][126880] Loss_D: -0.019770 Loss_G: 0.001409 Loss_D_real: -0.010925 Loss_D_fake 0.008845
[1230/5000][215/535][126881] Loss_D: -0.019341 Loss_G: 0.017864 Loss_D_real: -0.020891 Loss_D_fake -0.001550
[1230/5000][220/535][126882] Loss_D: -0.019964 Loss_G: 0.017160 Loss_D_real: -0.017746 Loss_D_fake 0.002218
[1230/5000][225/535][126883] Loss_D: -0.019202 Loss_G: -0.005438 Loss_D_real: -0.006984 Loss_D_fake 0.012218
[1230/5000][230/535][126884] Loss_D: -0.018826 Loss_G: 0.019932 Loss_D_real: -0.033777 Loss_D_fake -0.014951
[1230/5000][235/535][126885] Loss_D: -0.018790 Loss_G: -0.000175 Loss_D_real: -0.018027 Loss_D_fake 0.000764
[1230/5000][240/535][126886] Loss_D: -0.020358 Loss_G: 0.013089 Loss_D_real: -0.015675 Loss_D_fake 0.004683
[1230/5000][245/535][126887] Loss_D: -0.020191 Loss_G: -0.003810 Loss_D_real: -0.011743 Loss_D_fake 0.008448
[1230/5000][250/535][126888] Loss_D: -0.020794 Loss_G: -0.009217 Loss_D_real: -0.015091 Loss_D_fake 0.005703
[1230/5000][255/535][126889] Loss_D: -0.020345 Loss_G: 0.017692 Loss_D_real: -0.014483 Loss_D_fake 0.005862
[1230/5000][260/535][126890] Loss_D: -0.019063 Loss_G: 0.018532 Loss_D_real: -0.026506 Loss_D_fake -0.007443
[1230/5000][265/535][126891] Loss_D: -0.020670 Loss_G: 0.015907 Loss_D_real: -0.035113 Loss_D_fake -0.014442
[1230/5000][270/535][126892] Loss_D: -0.019634 Loss_G: 0.020828 Loss_D_real: -0.017920 Loss_D_fake 0.001715
[1230/5000][275/535][126893] Loss_D: -0.020346 Loss_G: 0.018336 Loss_D_real: -0.017652 Loss_D_fake 0.002694
[1230/5000][280/535][126894] Loss_D: -0.021285 Loss_G: 0.001034 Loss_D_real: -0.023009 Loss_D_fake -0.001723
[1230/5000][285/535][126895] Loss_D: -0.021169 Loss_G: 0.012594 Loss_D_real: -0.021665 Loss_D_fake -0.000496
[1230/5000][290/535][126896] Loss_D: -0.020131 Loss_G: 0.002408 Loss_D_real: -0.009263 Loss_D_fake 0.010868
[1230/5000][295/535][126897] Loss_D: -0.021040 Loss_G: 0.007391 Loss_D_real: -0.024548 Loss_D_fake -0.003508
[1230/5000][300/535][126898] Loss_D: -0.021002 Loss_G: 0.031324 Loss_D_real: -0.021185 Loss_D_fake -0.000183
[1230/5000][305/535][126899] Loss_D: -0.020680 Loss_G: -0.010226 Loss_D_real: -0.012700 Loss_D_fake 0.007980
[1230/5000][310/535][126900] Loss_D: -0.021365 Loss_G: 0.022281 Loss_D_real: -0.032914 Loss_D_fake -0.011548
[1230/5000][315/535][126901] Loss_D: -0.019455 Loss_G: 0.000640 Loss_D_real: -0.018581 Loss_D_fake 0.000874
[1230/5000][320/535][126902] Loss_D: -0.020217 Loss_G: 0.014292 Loss_D_real: -0.022764 Loss_D_fake -0.002546
[1230/5000][325/535][126903] Loss_D: -0.021177 Loss_G: -0.017325 Loss_D_real: -0.008667 Loss_D_fake 0.012510
[1230/5000][330/535][126904] Loss_D: -0.018408 Loss_G: 0.018849 Loss_D_real: -0.015902 Loss_D_fake 0.002507
[1230/5000][335/535][126905] Loss_D: -0.021004 Loss_G: 0.002751 Loss_D_real: -0.006547 Loss_D_fake 0.014457
[1230/5000][340/535][126906] Loss_D: -0.020530 Loss_G: 0.011794 Loss_D_real: -0.035608 Loss_D_fake -0.015078
[1230/5000][345/535][126907] Loss_D: -0.021294 Loss_G: 0.006474 Loss_D_real: -0.013425 Loss_D_fake 0.007869
[1230/5000][350/535][126908] Loss_D: -0.021160 Loss_G: 0.018440 Loss_D_real: -0.017617 Loss_D_fake 0.003542
[1230/5000][355/535][126909] Loss_D: -0.021098 Loss_G: -0.000163 Loss_D_real: -0.008174 Loss_D_fake 0.012924
[1230/5000][360/535][126910] Loss_D: -0.020139 Loss_G: 0.010738 Loss_D_real: -0.018463 Loss_D_fake 0.001675
[1230/5000][365/535][126911] Loss_D: -0.019552 Loss_G: -0.005704 Loss_D_real: 0.001819 Loss_D_fake 0.021372
[1230/5000][370/535][126912] Loss_D: -0.020642 Loss_G: 0.000813 Loss_D_real: -0.018308 Loss_D_fake 0.002333
[1230/5000][375/535][126913] Loss_D: -0.021158 Loss_G: 0.014542 Loss_D_real: -0.021223 Loss_D_fake -0.000065
[1230/5000][380/535][126914] Loss_D: -0.020274 Loss_G: 0.000289 Loss_D_real: -0.013156 Loss_D_fake 0.007118
[1230/5000][385/535][126915] Loss_D: -0.019479 Loss_G: 0.021266 Loss_D_real: -0.037384 Loss_D_fake -0.017905
[1230/5000][390/535][126916] Loss_D: -0.019774 Loss_G: 0.018982 Loss_D_real: -0.029832 Loss_D_fake -0.010058
[1230/5000][395/535][126917] Loss_D: -0.021783 Loss_G: 0.005494 Loss_D_real: -0.020813 Loss_D_fake 0.000970
[1230/5000][400/535][126918] Loss_D: -0.018331 Loss_G: -0.005827 Loss_D_real: -0.009047 Loss_D_fake 0.009283
[1230/5000][405/535][126919] Loss_D: -0.019328 Loss_G: 0.013020 Loss_D_real: -0.028397 Loss_D_fake -0.009069
[1230/5000][410/535][126920] Loss_D: -0.019590 Loss_G: -0.000904 Loss_D_real: -0.010319 Loss_D_fake 0.009271
[1230/5000][415/535][126921] Loss_D: -0.020526 Loss_G: 0.005562 Loss_D_real: -0.017065 Loss_D_fake 0.003462
[1230/5000][420/535][126922] Loss_D: -0.019308 Loss_G: -0.015362 Loss_D_real: -0.003351 Loss_D_fake 0.015957
[1230/5000][425/535][126923] Loss_D: -0.020081 Loss_G: 0.000095 Loss_D_real: -0.012721 Loss_D_fake 0.007360
[1230/5000][430/535][126924] Loss_D: -0.020439 Loss_G: 0.020132 Loss_D_real: -0.017369 Loss_D_fake 0.003070
[1230/5000][435/535][126925] Loss_D: -0.018715 Loss_G: -0.024301 Loss_D_real: -0.001421 Loss_D_fake 0.017295
[1230/5000][440/535][126926] Loss_D: -0.020337 Loss_G: 0.014792 Loss_D_real: -0.015238 Loss_D_fake 0.005099
[1230/5000][445/535][126927] Loss_D: -0.020294 Loss_G: 0.003593 Loss_D_real: -0.022960 Loss_D_fake -0.002665
[1230/5000][450/535][126928] Loss_D: -0.019455 Loss_G: -0.013870 Loss_D_real: 0.003154 Loss_D_fake 0.022609
[1230/5000][455/535][126929] Loss_D: -0.019535 Loss_G: 0.017634 Loss_D_real: -0.028210 Loss_D_fake -0.008675
[1230/5000][460/535][126930] Loss_D: -0.019993 Loss_G: 0.000950 Loss_D_real: -0.014889 Loss_D_fake 0.005104
[1230/5000][465/535][126931] Loss_D: -0.021248 Loss_G: 0.028134 Loss_D_real: -0.021548 Loss_D_fake -0.000300
[1230/5000][470/535][126932] Loss_D: -0.019741 Loss_G: 0.000530 Loss_D_real: -0.007509 Loss_D_fake 0.012232
[1230/5000][475/535][126933] Loss_D: -0.020431 Loss_G: -0.003848 Loss_D_real: -0.011800 Loss_D_fake 0.008631
[1230/5000][480/535][126934] Loss_D: -0.019908 Loss_G: 0.000041 Loss_D_real: -0.015185 Loss_D_fake 0.004723
[1230/5000][485/535][126935] Loss_D: -0.021085 Loss_G: 0.007678 Loss_D_real: 0.004215 Loss_D_fake 0.025300
[1230/5000][490/535][126936] Loss_D: -0.019018 Loss_G: 0.019126 Loss_D_real: -0.025299 Loss_D_fake -0.006281
[1230/5000][495/535][126937] Loss_D: -0.019679 Loss_G: 0.022470 Loss_D_real: -0.031007 Loss_D_fake -0.011328
[1230/5000][500/535][126938] Loss_D: -0.021584 Loss_G: 0.008839 Loss_D_real: -0.022969 Loss_D_fake -0.001385
[1230/5000][505/535][126939] Loss_D: -0.021173 Loss_G: -0.007753 Loss_D_real: -0.015814 Loss_D_fake 0.005359
[1230/5000][510/535][126940] Loss_D: -0.021049 Loss_G: 0.008664 Loss_D_real: -0.017437 Loss_D_fake 0.003612
[1230/5000][515/535][126941] Loss_D: -0.021621 Loss_G: 0.001532 Loss_D_real: -0.010626 Loss_D_fake 0.010995
[1230/5000][520/535][126942] Loss_D: -0.020297 Loss_G: -0.002889 Loss_D_real: -0.014327 Loss_D_fake 0.005970
[1230/5000][525/535][126943] Loss_D: -0.019762 Loss_G: 0.022455 Loss_D_real: -0.023649 Loss_D_fake -0.003887
[1230/5000][530/535][126944] Loss_D: -0.020699 Loss_G: 0.003968 Loss_D_real: -0.014343 Loss_D_fake 0.006356
[1230/5000][535/535][126945] Loss_D: -0.018608 Loss_G: 0.044055 Loss_D_real: -0.026111 Loss_D_fake -0.007502
[1231/5000][5/535][126946] Loss_D: -0.019236 Loss_G: 0.022524 Loss_D_real: -0.035824 Loss_D_fake -0.016588
[1231/5000][10/535][126947] Loss_D: -0.022149 Loss_G: -0.001674 Loss_D_real: -0.030552 Loss_D_fake -0.008403
[1231/5000][15/535][126948] Loss_D: -0.018687 Loss_G: 0.015717 Loss_D_real: -0.026598 Loss_D_fake -0.007910
[1231/5000][20/535][126949] Loss_D: -0.020131 Loss_G: 0.012584 Loss_D_real: -0.018121 Loss_D_fake 0.002011
[1231/5000][25/535][126950] Loss_D: -0.020003 Loss_G: 0.012541 Loss_D_real: -0.021269 Loss_D_fake -0.001266
[1231/5000][30/535][126951] Loss_D: -0.019616 Loss_G: 0.017835 Loss_D_real: -0.030912 Loss_D_fake -0.011296
[1231/5000][35/535][126952] Loss_D: -0.018975 Loss_G: 0.021641 Loss_D_real: -0.020392 Loss_D_fake -0.001417
[1231/5000][40/535][126953] Loss_D: -0.020047 Loss_G: -0.005766 Loss_D_real: -0.007033 Loss_D_fake 0.013014
[1231/5000][45/535][126954] Loss_D: -0.020085 Loss_G: -0.002260 Loss_D_real: -0.009239 Loss_D_fake 0.010846
[1231/5000][50/535][126955] Loss_D: -0.019816 Loss_G: 0.000696 Loss_D_real: -0.013555 Loss_D_fake 0.006261
[1231/5000][55/535][126956] Loss_D: -0.020924 Loss_G: -0.009632 Loss_D_real: -0.003610 Loss_D_fake 0.017314
[1231/5000][60/535][126957] Loss_D: -0.020608 Loss_G: 0.020551 Loss_D_real: -0.017461 Loss_D_fake 0.003147
[1231/5000][65/535][126958] Loss_D: -0.019808 Loss_G: 0.009750 Loss_D_real: -0.019484 Loss_D_fake 0.000325
[1231/5000][70/535][126959] Loss_D: -0.019972 Loss_G: -0.003038 Loss_D_real: -0.008705 Loss_D_fake 0.011267
[1231/5000][75/535][126960] Loss_D: -0.020135 Loss_G: 0.000819 Loss_D_real: -0.001385 Loss_D_fake 0.018750
[1231/5000][80/535][126961] Loss_D: -0.020399 Loss_G: 0.022574 Loss_D_real: -0.016130 Loss_D_fake 0.004269
[1231/5000][85/535][126962] Loss_D: -0.021591 Loss_G: 0.010762 Loss_D_real: -0.023992 Loss_D_fake -0.002401
[1231/5000][90/535][126963] Loss_D: -0.020397 Loss_G: -0.010410 Loss_D_real: -0.016553 Loss_D_fake 0.003844
[1231/5000][95/535][126964] Loss_D: -0.020155 Loss_G: 0.000291 Loss_D_real: -0.021749 Loss_D_fake -0.001594
[1231/5000][100/535][126965] Loss_D: -0.020044 Loss_G: 0.011969 Loss_D_real: -0.019417 Loss_D_fake 0.000627
[1231/5000][105/535][126966] Loss_D: -0.020596 Loss_G: 0.020693 Loss_D_real: -0.031920 Loss_D_fake -0.011325
[1231/5000][110/535][126967] Loss_D: -0.021519 Loss_G: -0.001315 Loss_D_real: -0.015484 Loss_D_fake 0.006035
[1231/5000][115/535][126968] Loss_D: -0.020955 Loss_G: 0.004399 Loss_D_real: -0.022059 Loss_D_fake -0.001104
[1231/5000][120/535][126969] Loss_D: -0.021433 Loss_G: 0.012842 Loss_D_real: -0.016807 Loss_D_fake 0.004627
[1231/5000][125/535][126970] Loss_D: -0.021837 Loss_G: 0.011278 Loss_D_real: -0.020873 Loss_D_fake 0.000964
[1231/5000][130/535][126971] Loss_D: -0.019967 Loss_G: 0.000870 Loss_D_real: -0.016675 Loss_D_fake 0.003291
[1231/5000][135/535][126972] Loss_D: -0.020175 Loss_G: 0.004902 Loss_D_real: -0.006368 Loss_D_fake 0.013807
[1231/5000][140/535][126973] Loss_D: -0.021220 Loss_G: 0.008414 Loss_D_real: -0.010624 Loss_D_fake 0.010597
[1231/5000][145/535][126974] Loss_D: -0.021957 Loss_G: 0.011297 Loss_D_real: -0.029985 Loss_D_fake -0.008029
[1231/5000][150/535][126975] Loss_D: -0.019735 Loss_G: 0.005419 Loss_D_real: -0.017989 Loss_D_fake 0.001745
[1231/5000][155/535][126976] Loss_D: -0.019991 Loss_G: 0.012975 Loss_D_real: -0.020313 Loss_D_fake -0.000321
[1231/5000][160/535][126977] Loss_D: -0.019869 Loss_G: -0.004229 Loss_D_real: -0.013923 Loss_D_fake 0.005946
[1231/5000][165/535][126978] Loss_D: -0.020836 Loss_G: 0.003955 Loss_D_real: -0.011368 Loss_D_fake 0.009468
[1231/5000][170/535][126979] Loss_D: -0.020896 Loss_G: 0.001177 Loss_D_real: -0.002071 Loss_D_fake 0.018825
[1231/5000][175/535][126980] Loss_D: -0.020938 Loss_G: 0.003814 Loss_D_real: -0.004699 Loss_D_fake 0.016239
[1231/5000][180/535][126981] Loss_D: -0.020159 Loss_G: 0.016847 Loss_D_real: -0.028605 Loss_D_fake -0.008446
[1231/5000][185/535][126982] Loss_D: -0.022439 Loss_G: 0.022963 Loss_D_real: -0.033542 Loss_D_fake -0.011102
[1231/5000][190/535][126983] Loss_D: -0.021442 Loss_G: 0.010724 Loss_D_real: -0.020056 Loss_D_fake 0.001386
[1231/5000][195/535][126984] Loss_D: -0.019576 Loss_G: -0.022536 Loss_D_real: -0.001373 Loss_D_fake 0.018203
[1231/5000][200/535][126985] Loss_D: -0.019939 Loss_G: 0.018410 Loss_D_real: -0.023203 Loss_D_fake -0.003264
[1231/5000][205/535][126986] Loss_D: -0.019653 Loss_G: 0.015612 Loss_D_real: -0.008911 Loss_D_fake 0.010743
[1231/5000][210/535][126987] Loss_D: -0.019419 Loss_G: -0.003987 Loss_D_real: -0.026683 Loss_D_fake -0.007264
[1231/5000][215/535][126988] Loss_D: -0.019504 Loss_G: 0.015056 Loss_D_real: -0.023030 Loss_D_fake -0.003527
[1231/5000][220/535][126989] Loss_D: -0.019928 Loss_G: -0.003487 Loss_D_real: -0.015313 Loss_D_fake 0.004615
[1231/5000][225/535][126990] Loss_D: -0.019820 Loss_G: 0.001357 Loss_D_real: -0.017129 Loss_D_fake 0.002692
[1231/5000][230/535][126991] Loss_D: -0.021289 Loss_G: 0.025174 Loss_D_real: -0.006278 Loss_D_fake 0.015011
[1231/5000][235/535][126992] Loss_D: -0.019113 Loss_G: 0.013080 Loss_D_real: -0.013778 Loss_D_fake 0.005335
[1231/5000][240/535][126993] Loss_D: -0.020525 Loss_G: 0.013697 Loss_D_real: -0.028509 Loss_D_fake -0.007984
[1231/5000][245/535][126994] Loss_D: -0.020803 Loss_G: -0.007273 Loss_D_real: -0.013072 Loss_D_fake 0.007731
[1231/5000][250/535][126995] Loss_D: -0.020531 Loss_G: 0.000479 Loss_D_real: -0.000127 Loss_D_fake 0.020404
[1231/5000][255/535][126996] Loss_D: -0.019066 Loss_G: -0.006147 Loss_D_real: -0.006003 Loss_D_fake 0.013063
[1231/5000][260/535][126997] Loss_D: -0.019544 Loss_G: 0.028654 Loss_D_real: -0.036902 Loss_D_fake -0.017357
[1231/5000][265/535][126998] Loss_D: -0.021160 Loss_G: 0.001995 Loss_D_real: -0.011005 Loss_D_fake 0.010155
[1231/5000][270/535][126999] Loss_D: -0.021755 Loss_G: 0.005484 Loss_D_real: -0.016817 Loss_D_fake 0.004938
[1231/5000][275/535][127000] Loss_D: -0.020479 Loss_G: 0.029410 Loss_D_real: -0.034501 Loss_D_fake -0.014022
[1231/5000][375/535][127001] Loss_D: -0.024268 Loss_G: -0.005904 Loss_D_real: -0.003912 Loss_D_fake 0.020356
[1231/5000][380/535][127002] Loss_D: -0.020769 Loss_G: 0.007664 Loss_D_real: -0.012585 Loss_D_fake 0.008184
[1231/5000][385/535][127003] Loss_D: -0.018273 Loss_G: -0.008352 Loss_D_real: 0.008436 Loss_D_fake 0.026709
[1231/5000][390/535][127004] Loss_D: -0.019294 Loss_G: -0.012838 Loss_D_real: -0.012630 Loss_D_fake 0.006664
[1231/5000][395/535][127005] Loss_D: -0.018919 Loss_G: 0.014573 Loss_D_real: -0.012113 Loss_D_fake 0.006805
[1231/5000][400/535][127006] Loss_D: -0.018238 Loss_G: 0.005033 Loss_D_real: -0.006389 Loss_D_fake 0.011849
[1231/5000][405/535][127007] Loss_D: -0.019916 Loss_G: 0.008269 Loss_D_real: -0.015251 Loss_D_fake 0.004664
[1231/5000][410/535][127008] Loss_D: -0.019667 Loss_G: 0.014235 Loss_D_real: -0.012138 Loss_D_fake 0.007529
[1231/5000][415/535][127009] Loss_D: -0.018494 Loss_G: 0.003157 Loss_D_real: 0.002126 Loss_D_fake 0.020621
[1231/5000][420/535][127010] Loss_D: -0.018700 Loss_G: 0.019282 Loss_D_real: -0.026217 Loss_D_fake -0.007517
[1231/5000][425/535][127011] Loss_D: -0.019135 Loss_G: 0.001684 Loss_D_real: -0.026422 Loss_D_fake -0.007287
[1231/5000][430/535][127012] Loss_D: -0.019381 Loss_G: 0.002558 Loss_D_real: -0.008548 Loss_D_fake 0.010833
[1231/5000][435/535][127013] Loss_D: -0.017951 Loss_G: 0.005749 Loss_D_real: -0.021893 Loss_D_fake -0.003941
[1231/5000][440/535][127014] Loss_D: -0.019726 Loss_G: 0.025520 Loss_D_real: -0.022385 Loss_D_fake -0.002659
[1231/5000][445/535][127015] Loss_D: -0.019285 Loss_G: 0.004257 Loss_D_real: -0.028739 Loss_D_fake -0.009454
[1231/5000][450/535][127016] Loss_D: -0.018987 Loss_G: -0.013112 Loss_D_real: -0.007542 Loss_D_fake 0.011445
[1231/5000][455/535][127017] Loss_D: -0.020446 Loss_G: -0.007760 Loss_D_real: -0.008469 Loss_D_fake 0.011978
[1231/5000][460/535][127018] Loss_D: -0.019215 Loss_G: 0.011688 Loss_D_real: -0.017473 Loss_D_fake 0.001742
[1231/5000][465/535][127019] Loss_D: -0.019471 Loss_G: 0.022245 Loss_D_real: -0.018472 Loss_D_fake 0.001000
[1231/5000][470/535][127020] Loss_D: -0.020971 Loss_G: 0.013990 Loss_D_real: -0.024812 Loss_D_fake -0.003841
[1231/5000][475/535][127021] Loss_D: -0.017924 Loss_G: -0.015961 Loss_D_real: -0.007123 Loss_D_fake 0.010801
[1231/5000][480/535][127022] Loss_D: -0.018885 Loss_G: 0.014551 Loss_D_real: -0.031526 Loss_D_fake -0.012641
[1231/5000][485/535][127023] Loss_D: -0.020110 Loss_G: 0.014250 Loss_D_real: -0.021532 Loss_D_fake -0.001421
[1231/5000][490/535][127024] Loss_D: -0.019584 Loss_G: 0.006271 Loss_D_real: -0.020921 Loss_D_fake -0.001337
[1231/5000][495/535][127025] Loss_D: -0.020784 Loss_G: 0.021541 Loss_D_real: -0.027280 Loss_D_fake -0.006496
[1231/5000][500/535][127026] Loss_D: -0.018577 Loss_G: 0.020912 Loss_D_real: -0.034980 Loss_D_fake -0.016403
[1231/5000][505/535][127027] Loss_D: -0.021089 Loss_G: 0.009839 Loss_D_real: -0.031735 Loss_D_fake -0.010646
[1231/5000][510/535][127028] Loss_D: -0.019582 Loss_G: -0.021243 Loss_D_real: -0.002331 Loss_D_fake 0.017251
[1231/5000][515/535][127029] Loss_D: -0.018872 Loss_G: 0.017050 Loss_D_real: -0.023471 Loss_D_fake -0.004599
[1231/5000][520/535][127030] Loss_D: -0.019867 Loss_G: 0.001244 Loss_D_real: -0.025201 Loss_D_fake -0.005333
[1231/5000][525/535][127031] Loss_D: -0.018707 Loss_G: -0.013582 Loss_D_real: -0.013204 Loss_D_fake 0.005503
[1231/5000][530/535][127032] Loss_D: -0.019440 Loss_G: 0.018251 Loss_D_real: -0.017635 Loss_D_fake 0.001805
[1231/5000][535/535][127033] Loss_D: -0.024292 Loss_G: -0.040959 Loss_D_real: -0.021802 Loss_D_fake 0.002490
[1232/5000][5/535][127034] Loss_D: -0.019714 Loss_G: 0.012038 Loss_D_real: -0.010776 Loss_D_fake 0.008938
[1232/5000][10/535][127035] Loss_D: -0.020430 Loss_G: 0.006797 Loss_D_real: -0.017176 Loss_D_fake 0.003254
[1232/5000][15/535][127036] Loss_D: -0.019113 Loss_G: -0.000374 Loss_D_real: -0.020624 Loss_D_fake -0.001512
[1232/5000][20/535][127037] Loss_D: -0.020794 Loss_G: 0.010596 Loss_D_real: -0.022989 Loss_D_fake -0.002194
[1232/5000][25/535][127038] Loss_D: -0.020464 Loss_G: -0.004300 Loss_D_real: -0.006385 Loss_D_fake 0.014079
[1232/5000][30/535][127039] Loss_D: -0.020092 Loss_G: 0.018315 Loss_D_real: -0.019685 Loss_D_fake 0.000407
[1232/5000][35/535][127040] Loss_D: -0.020381 Loss_G: 0.018144 Loss_D_real: -0.015108 Loss_D_fake 0.005273
[1232/5000][40/535][127041] Loss_D: -0.020009 Loss_G: 0.014474 Loss_D_real: -0.021893 Loss_D_fake -0.001884
[1232/5000][45/535][127042] Loss_D: -0.021036 Loss_G: 0.005196 Loss_D_real: -0.013315 Loss_D_fake 0.007720
[1232/5000][50/535][127043] Loss_D: -0.019733 Loss_G: -0.008278 Loss_D_real: -0.005468 Loss_D_fake 0.014265
[1232/5000][55/535][127044] Loss_D: -0.021112 Loss_G: 0.024966 Loss_D_real: -0.020095 Loss_D_fake 0.001017
[1232/5000][60/535][127045] Loss_D: -0.019763 Loss_G: 0.018049 Loss_D_real: -0.019195 Loss_D_fake 0.000567
[1232/5000][65/535][127046] Loss_D: -0.019953 Loss_G: 0.000862 Loss_D_real: -0.023785 Loss_D_fake -0.003832
[1232/5000][70/535][127047] Loss_D: -0.021682 Loss_G: -0.004770 Loss_D_real: -0.021102 Loss_D_fake 0.000579
[1232/5000][75/535][127048] Loss_D: -0.019812 Loss_G: 0.024197 Loss_D_real: -0.022892 Loss_D_fake -0.003080
[1232/5000][80/535][127049] Loss_D: -0.020145 Loss_G: 0.003618 Loss_D_real: -0.015091 Loss_D_fake 0.005054
[1232/5000][85/535][127050] Loss_D: -0.019920 Loss_G: 0.008380 Loss_D_real: -0.017530 Loss_D_fake 0.002390
[1232/5000][90/535][127051] Loss_D: -0.019400 Loss_G: -0.011307 Loss_D_real: -0.009271 Loss_D_fake 0.010129
[1232/5000][95/535][127052] Loss_D: -0.020200 Loss_G: 0.027643 Loss_D_real: -0.029429 Loss_D_fake -0.009229
[1232/5000][100/535][127053] Loss_D: -0.020990 Loss_G: 0.001870 Loss_D_real: -0.008974 Loss_D_fake 0.012016
[1232/5000][105/535][127054] Loss_D: -0.019818 Loss_G: -0.005758 Loss_D_real: -0.003771 Loss_D_fake 0.016047
[1232/5000][110/535][127055] Loss_D: -0.019863 Loss_G: 0.030662 Loss_D_real: -0.026258 Loss_D_fake -0.006394
[1232/5000][115/535][127056] Loss_D: -0.019263 Loss_G: -0.005785 Loss_D_real: 0.004177 Loss_D_fake 0.023440
[1232/5000][120/535][127057] Loss_D: -0.018671 Loss_G: -0.009687 Loss_D_real: -0.008448 Loss_D_fake 0.010224
[1232/5000][125/535][127058] Loss_D: -0.021680 Loss_G: 0.011644 Loss_D_real: -0.020159 Loss_D_fake 0.001522
[1232/5000][130/535][127059] Loss_D: -0.020303 Loss_G: 0.008403 Loss_D_real: -0.020471 Loss_D_fake -0.000168
[1232/5000][135/535][127060] Loss_D: -0.020002 Loss_G: 0.003639 Loss_D_real: -0.022497 Loss_D_fake -0.002496
[1232/5000][140/535][127061] Loss_D: -0.020730 Loss_G: 0.021813 Loss_D_real: -0.023550 Loss_D_fake -0.002819
[1232/5000][145/535][127062] Loss_D: -0.021590 Loss_G: 0.010876 Loss_D_real: -0.025164 Loss_D_fake -0.003574
[1232/5000][150/535][127063] Loss_D: -0.019646 Loss_G: 0.025569 Loss_D_real: -0.022338 Loss_D_fake -0.002692
[1232/5000][155/535][127064] Loss_D: -0.020058 Loss_G: -0.001910 Loss_D_real: -0.003790 Loss_D_fake 0.016268
[1232/5000][160/535][127065] Loss_D: -0.018250 Loss_G: 0.023614 Loss_D_real: -0.034420 Loss_D_fake -0.016170
[1232/5000][165/535][127066] Loss_D: -0.017827 Loss_G: 0.011391 Loss_D_real: -0.027273 Loss_D_fake -0.009446
[1232/5000][170/535][127067] Loss_D: -0.020007 Loss_G: 0.009690 Loss_D_real: -0.021696 Loss_D_fake -0.001689
[1232/5000][175/535][127068] Loss_D: -0.021185 Loss_G: 0.011953 Loss_D_real: -0.011771 Loss_D_fake 0.009414
[1232/5000][180/535][127069] Loss_D: -0.019725 Loss_G: -0.010226 Loss_D_real: -0.016222 Loss_D_fake 0.003503
[1232/5000][185/535][127070] Loss_D: -0.019241 Loss_G: 0.008185 Loss_D_real: -0.018929 Loss_D_fake 0.000312
[1232/5000][190/535][127071] Loss_D: -0.019058 Loss_G: 0.004043 Loss_D_real: -0.009941 Loss_D_fake 0.009117
[1232/5000][195/535][127072] Loss_D: -0.020979 Loss_G: 0.010166 Loss_D_real: -0.002695 Loss_D_fake 0.018284
[1232/5000][200/535][127073] Loss_D: -0.019811 Loss_G: 0.025789 Loss_D_real: -0.023996 Loss_D_fake -0.004186
[1232/5000][205/535][127074] Loss_D: -0.020752 Loss_G: -0.012548 Loss_D_real: -0.013225 Loss_D_fake 0.007527
[1232/5000][210/535][127075] Loss_D: -0.019623 Loss_G: 0.011935 Loss_D_real: -0.020596 Loss_D_fake -0.000973
[1232/5000][215/535][127076] Loss_D: -0.020853 Loss_G: 0.014994 Loss_D_real: -0.024450 Loss_D_fake -0.003597
[1232/5000][220/535][127077] Loss_D: -0.021579 Loss_G: 0.005097 Loss_D_real: -0.008281 Loss_D_fake 0.013298
[1232/5000][225/535][127078] Loss_D: -0.021019 Loss_G: 0.016148 Loss_D_real: -0.018700 Loss_D_fake 0.002319
[1232/5000][230/535][127079] Loss_D: -0.021834 Loss_G: -0.000170 Loss_D_real: -0.018270 Loss_D_fake 0.003565
[1232/5000][235/535][127080] Loss_D: -0.020543 Loss_G: -0.000422 Loss_D_real: -0.013394 Loss_D_fake 0.007149
[1232/5000][240/535][127081] Loss_D: -0.019014 Loss_G: -0.000419 Loss_D_real: 0.011495 Loss_D_fake 0.030509
[1232/5000][245/535][127082] Loss_D: -0.020031 Loss_G: 0.020368 Loss_D_real: -0.028741 Loss_D_fake -0.008710
[1232/5000][250/535][127083] Loss_D: -0.019574 Loss_G: -0.018884 Loss_D_real: -0.021356 Loss_D_fake -0.001782
[1232/5000][255/535][127084] Loss_D: -0.019870 Loss_G: 0.019961 Loss_D_real: -0.025677 Loss_D_fake -0.005807
[1232/5000][260/535][127085] Loss_D: -0.020703 Loss_G: 0.003520 Loss_D_real: -0.019229 Loss_D_fake 0.001474
[1232/5000][265/535][127086] Loss_D: -0.020154 Loss_G: 0.007757 Loss_D_real: -0.010503 Loss_D_fake 0.009651
[1232/5000][270/535][127087] Loss_D: -0.020075 Loss_G: 0.031022 Loss_D_real: -0.025799 Loss_D_fake -0.005724
[1232/5000][275/535][127088] Loss_D: -0.019799 Loss_G: 0.001539 Loss_D_real: -0.012301 Loss_D_fake 0.007499
[1232/5000][280/535][127089] Loss_D: -0.019721 Loss_G: 0.016310 Loss_D_real: -0.023834 Loss_D_fake -0.004113
[1232/5000][285/535][127090] Loss_D: -0.020893 Loss_G: -0.005990 Loss_D_real: -0.028241 Loss_D_fake -0.007348
[1232/5000][290/535][127091] Loss_D: -0.019506 Loss_G: 0.029217 Loss_D_real: -0.031024 Loss_D_fake -0.011518
[1232/5000][295/535][127092] Loss_D: -0.020716 Loss_G: 0.011838 Loss_D_real: -0.012696 Loss_D_fake 0.008020
[1232/5000][300/535][127093] Loss_D: -0.020559 Loss_G: 0.009453 Loss_D_real: -0.012020 Loss_D_fake 0.008539
[1232/5000][305/535][127094] Loss_D: -0.021534 Loss_G: -0.001268 Loss_D_real: -0.008047 Loss_D_fake 0.013487
[1232/5000][310/535][127095] Loss_D: -0.020442 Loss_G: 0.021003 Loss_D_real: -0.023949 Loss_D_fake -0.003507
[1232/5000][315/535][127096] Loss_D: -0.020258 Loss_G: 0.007800 Loss_D_real: -0.014585 Loss_D_fake 0.005673
[1232/5000][320/535][127097] Loss_D: -0.019970 Loss_G: 0.006793 Loss_D_real: -0.014180 Loss_D_fake 0.005790
[1232/5000][325/535][127098] Loss_D: -0.019684 Loss_G: 0.019513 Loss_D_real: -0.026511 Loss_D_fake -0.006827
[1232/5000][330/535][127099] Loss_D: -0.020488 Loss_G: -0.012209 Loss_D_real: -0.002595 Loss_D_fake 0.017893
[1232/5000][335/535][127100] Loss_D: -0.019638 Loss_G: 0.025273 Loss_D_real: -0.030376 Loss_D_fake -0.010738
[1232/5000][340/535][127101] Loss_D: -0.019518 Loss_G: -0.005409 Loss_D_real: -0.011020 Loss_D_fake 0.008498
[1232/5000][345/535][127102] Loss_D: -0.021311 Loss_G: -0.002566 Loss_D_real: -0.011281 Loss_D_fake 0.010030
[1232/5000][350/535][127103] Loss_D: -0.020452 Loss_G: 0.005989 Loss_D_real: -0.019301 Loss_D_fake 0.001151
[1232/5000][355/535][127104] Loss_D: -0.019764 Loss_G: -0.010875 Loss_D_real: 0.004861 Loss_D_fake 0.024624
[1232/5000][360/535][127105] Loss_D: -0.020405 Loss_G: 0.006819 Loss_D_real: -0.013745 Loss_D_fake 0.006660
[1232/5000][365/535][127106] Loss_D: -0.019938 Loss_G: 0.011723 Loss_D_real: -0.022851 Loss_D_fake -0.002913
[1232/5000][370/535][127107] Loss_D: -0.018844 Loss_G: 0.016898 Loss_D_real: -0.020211 Loss_D_fake -0.001367
[1232/5000][375/535][127108] Loss_D: -0.020632 Loss_G: 0.015763 Loss_D_real: -0.008032 Loss_D_fake 0.012600
[1232/5000][380/535][127109] Loss_D: -0.018471 Loss_G: 0.023033 Loss_D_real: -0.035949 Loss_D_fake -0.017478
[1232/5000][385/535][127110] Loss_D: -0.020084 Loss_G: 0.001447 Loss_D_real: -0.007667 Loss_D_fake 0.012417
[1232/5000][390/535][127111] Loss_D: -0.020338 Loss_G: 0.021195 Loss_D_real: -0.022661 Loss_D_fake -0.002322
[1232/5000][395/535][127112] Loss_D: -0.021355 Loss_G: -0.007287 Loss_D_real: 0.001926 Loss_D_fake 0.023281
[1232/5000][400/535][127113] Loss_D: -0.019727 Loss_G: 0.019420 Loss_D_real: -0.019230 Loss_D_fake 0.000497
[1232/5000][405/535][127114] Loss_D: -0.020576 Loss_G: -0.000226 Loss_D_real: -0.004603 Loss_D_fake 0.015973
[1232/5000][410/535][127115] Loss_D: -0.019225 Loss_G: 0.014806 Loss_D_real: -0.016393 Loss_D_fake 0.002832
[1232/5000][415/535][127116] Loss_D: -0.021681 Loss_G: 0.004778 Loss_D_real: -0.010243 Loss_D_fake 0.011439
[1232/5000][420/535][127117] Loss_D: -0.020003 Loss_G: 0.013979 Loss_D_real: -0.021708 Loss_D_fake -0.001705
[1232/5000][425/535][127118] Loss_D: -0.021258 Loss_G: -0.001664 Loss_D_real: -0.018598 Loss_D_fake 0.002660
[1232/5000][430/535][127119] Loss_D: -0.019015 Loss_G: -0.013878 Loss_D_real: -0.003845 Loss_D_fake 0.015170
[1232/5000][435/535][127120] Loss_D: -0.019887 Loss_G: -0.002456 Loss_D_real: -0.008390 Loss_D_fake 0.011498
[1232/5000][440/535][127121] Loss_D: -0.019323 Loss_G: 0.006483 Loss_D_real: -0.016873 Loss_D_fake 0.002450
[1232/5000][445/535][127122] Loss_D: -0.020037 Loss_G: -0.004057 Loss_D_real: -0.013534 Loss_D_fake 0.006503
[1232/5000][450/535][127123] Loss_D: -0.019880 Loss_G: -0.005013 Loss_D_real: -0.016277 Loss_D_fake 0.003604
[1232/5000][455/535][127124] Loss_D: -0.019963 Loss_G: 0.024026 Loss_D_real: -0.025376 Loss_D_fake -0.005413
[1232/5000][460/535][127125] Loss_D: -0.020858 Loss_G: 0.017967 Loss_D_real: -0.009048 Loss_D_fake 0.011810
[1232/5000][465/535][127126] Loss_D: -0.019842 Loss_G: -0.006733 Loss_D_real: -0.008669 Loss_D_fake 0.011173
[1232/5000][470/535][127127] Loss_D: -0.019888 Loss_G: 0.009908 Loss_D_real: -0.020098 Loss_D_fake -0.000210
[1232/5000][475/535][127128] Loss_D: -0.020204 Loss_G: -0.003888 Loss_D_real: -0.018148 Loss_D_fake 0.002055
[1232/5000][480/535][127129] Loss_D: -0.020302 Loss_G: 0.003279 Loss_D_real: -0.017297 Loss_D_fake 0.003005
[1232/5000][485/535][127130] Loss_D: -0.020836 Loss_G: 0.013251 Loss_D_real: -0.021631 Loss_D_fake -0.000795
[1232/5000][490/535][127131] Loss_D: -0.021183 Loss_G: -0.003541 Loss_D_real: 0.002488 Loss_D_fake 0.023671
[1232/5000][495/535][127132] Loss_D: -0.016938 Loss_G: 0.031975 Loss_D_real: -0.025653 Loss_D_fake -0.008714
[1232/5000][500/535][127133] Loss_D: -0.020065 Loss_G: -0.016563 Loss_D_real: -0.006553 Loss_D_fake 0.013512
[1232/5000][505/535][127134] Loss_D: -0.019068 Loss_G: 0.022055 Loss_D_real: -0.020417 Loss_D_fake -0.001349
[1232/5000][510/535][127135] Loss_D: -0.020145 Loss_G: 0.003995 Loss_D_real: -0.007936 Loss_D_fake 0.012209
[1232/5000][515/535][127136] Loss_D: -0.019693 Loss_G: 0.017238 Loss_D_real: -0.023410 Loss_D_fake -0.003717
[1232/5000][520/535][127137] Loss_D: -0.019790 Loss_G: 0.003677 Loss_D_real: -0.019408 Loss_D_fake 0.000383
[1232/5000][525/535][127138] Loss_D: -0.020153 Loss_G: 0.014741 Loss_D_real: -0.018190 Loss_D_fake 0.001963
[1232/5000][530/535][127139] Loss_D: -0.019740 Loss_G: 0.016385 Loss_D_real: -0.023100 Loss_D_fake -0.003360
[1232/5000][535/535][127140] Loss_D: -0.021908 Loss_G: 0.022535 Loss_D_real: -0.033346 Loss_D_fake -0.011438
[1233/5000][5/535][127141] Loss_D: -0.020555 Loss_G: 0.015056 Loss_D_real: -0.025465 Loss_D_fake -0.004910
[1233/5000][10/535][127142] Loss_D: -0.021749 Loss_G: -0.000265 Loss_D_real: -0.015472 Loss_D_fake 0.006276
[1233/5000][15/535][127143] Loss_D: -0.019774 Loss_G: 0.012292 Loss_D_real: -0.016403 Loss_D_fake 0.003371
[1233/5000][20/535][127144] Loss_D: -0.020638 Loss_G: 0.012556 Loss_D_real: -0.022145 Loss_D_fake -0.001507
[1233/5000][25/535][127145] Loss_D: -0.019757 Loss_G: 0.001233 Loss_D_real: -0.008936 Loss_D_fake 0.010821
[1233/5000][30/535][127146] Loss_D: -0.018509 Loss_G: 0.010006 Loss_D_real: -0.032230 Loss_D_fake -0.013721
[1233/5000][35/535][127147] Loss_D: -0.022228 Loss_G: 0.000660 Loss_D_real: -0.020597 Loss_D_fake 0.001631
[1233/5000][40/535][127148] Loss_D: -0.020110 Loss_G: -0.001559 Loss_D_real: -0.017764 Loss_D_fake 0.002346
[1233/5000][45/535][127149] Loss_D: -0.019060 Loss_G: -0.015544 Loss_D_real: 0.004491 Loss_D_fake 0.023551
[1233/5000][50/535][127150] Loss_D: -0.019884 Loss_G: 0.029932 Loss_D_real: -0.021013 Loss_D_fake -0.001129
[1233/5000][55/535][127151] Loss_D: -0.019256 Loss_G: -0.002749 Loss_D_real: -0.006981 Loss_D_fake 0.012275
[1233/5000][60/535][127152] Loss_D: -0.019246 Loss_G: 0.004166 Loss_D_real: -0.022558 Loss_D_fake -0.003311
[1233/5000][65/535][127153] Loss_D: -0.020312 Loss_G: 0.006569 Loss_D_real: -0.020656 Loss_D_fake -0.000345
[1233/5000][70/535][127154] Loss_D: -0.020349 Loss_G: 0.002258 Loss_D_real: -0.001121 Loss_D_fake 0.019228
[1233/5000][75/535][127155] Loss_D: -0.019683 Loss_G: 0.018516 Loss_D_real: -0.031397 Loss_D_fake -0.011714
[1233/5000][80/535][127156] Loss_D: -0.019380 Loss_G: -0.015959 Loss_D_real: 0.000037 Loss_D_fake 0.019417
[1233/5000][85/535][127157] Loss_D: -0.020266 Loss_G: 0.002345 Loss_D_real: -0.014111 Loss_D_fake 0.006156
[1233/5000][90/535][127158] Loss_D: -0.020475 Loss_G: -0.000670 Loss_D_real: -0.013779 Loss_D_fake 0.006696
[1233/5000][95/535][127159] Loss_D: -0.018721 Loss_G: 0.020337 Loss_D_real: -0.027948 Loss_D_fake -0.009227
[1233/5000][100/535][127160] Loss_D: -0.019369 Loss_G: -0.002159 Loss_D_real: 0.000250 Loss_D_fake 0.019619
[1233/5000][105/535][127161] Loss_D: -0.019739 Loss_G: 0.000426 Loss_D_real: -0.012968 Loss_D_fake 0.006771
[1233/5000][110/535][127162] Loss_D: -0.019270 Loss_G: 0.026179 Loss_D_real: -0.029284 Loss_D_fake -0.010013
[1233/5000][115/535][127163] Loss_D: -0.018872 Loss_G: 0.008137 Loss_D_real: -0.029982 Loss_D_fake -0.011111
[1233/5000][120/535][127164] Loss_D: -0.019431 Loss_G: 0.021138 Loss_D_real: -0.020122 Loss_D_fake -0.000690
[1233/5000][125/535][127165] Loss_D: -0.019727 Loss_G: 0.002637 Loss_D_real: -0.001365 Loss_D_fake 0.018362
[1233/5000][130/535][127166] Loss_D: -0.021336 Loss_G: -0.013833 Loss_D_real: -0.006103 Loss_D_fake 0.015233
[1233/5000][135/535][127167] Loss_D: -0.019644 Loss_G: 0.001101 Loss_D_real: -0.018950 Loss_D_fake 0.000694
[1233/5000][140/535][127168] Loss_D: -0.020390 Loss_G: 0.026608 Loss_D_real: -0.026918 Loss_D_fake -0.006528
[1233/5000][145/535][127169] Loss_D: -0.019338 Loss_G: 0.014398 Loss_D_real: -0.019259 Loss_D_fake 0.000079
[1233/5000][150/535][127170] Loss_D: -0.019875 Loss_G: 0.010090 Loss_D_real: -0.022888 Loss_D_fake -0.003013
[1233/5000][155/535][127171] Loss_D: -0.021484 Loss_G: 0.015328 Loss_D_real: -0.032588 Loss_D_fake -0.011105
[1233/5000][160/535][127172] Loss_D: -0.020763 Loss_G: -0.000566 Loss_D_real: -0.016478 Loss_D_fake 0.004284
[1233/5000][165/535][127173] Loss_D: -0.020413 Loss_G: -0.000419 Loss_D_real: -0.007465 Loss_D_fake 0.012948
[1233/5000][170/535][127174] Loss_D: -0.020091 Loss_G: 0.004456 Loss_D_real: -0.018834 Loss_D_fake 0.001258
[1233/5000][175/535][127175] Loss_D: -0.021249 Loss_G: 0.007576 Loss_D_real: -0.007957 Loss_D_fake 0.013292
[1233/5000][180/535][127176] Loss_D: -0.017738 Loss_G: -0.007229 Loss_D_real: -0.006427 Loss_D_fake 0.011310
[1233/5000][185/535][127177] Loss_D: -0.019590 Loss_G: -0.005079 Loss_D_real: -0.004017 Loss_D_fake 0.015574
[1233/5000][190/535][127178] Loss_D: -0.019222 Loss_G: 0.007456 Loss_D_real: -0.026283 Loss_D_fake -0.007060
[1233/5000][195/535][127179] Loss_D: -0.020801 Loss_G: -0.005502 Loss_D_real: -0.017907 Loss_D_fake 0.002894
[1233/5000][200/535][127180] Loss_D: -0.020500 Loss_G: 0.005405 Loss_D_real: -0.016545 Loss_D_fake 0.003955
[1233/5000][205/535][127181] Loss_D: -0.017668 Loss_G: 0.019674 Loss_D_real: -0.022227 Loss_D_fake -0.004559
[1233/5000][210/535][127182] Loss_D: -0.020340 Loss_G: 0.009451 Loss_D_real: -0.020496 Loss_D_fake -0.000156
[1233/5000][215/535][127183] Loss_D: -0.019791 Loss_G: 0.004244 Loss_D_real: -0.013125 Loss_D_fake 0.006666
[1233/5000][220/535][127184] Loss_D: -0.021636 Loss_G: 0.006328 Loss_D_real: -0.012325 Loss_D_fake 0.009312
[1233/5000][225/535][127185] Loss_D: -0.018560 Loss_G: -0.023767 Loss_D_real: 0.001717 Loss_D_fake 0.020277
[1233/5000][230/535][127186] Loss_D: -0.019594 Loss_G: -0.004367 Loss_D_real: -0.009869 Loss_D_fake 0.009725
[1233/5000][235/535][127187] Loss_D: -0.019973 Loss_G: 0.007754 Loss_D_real: -0.025304 Loss_D_fake -0.005331
[1233/5000][240/535][127188] Loss_D: -0.021004 Loss_G: 0.019190 Loss_D_real: -0.025952 Loss_D_fake -0.004947
[1233/5000][245/535][127189] Loss_D: -0.020750 Loss_G: -0.004864 Loss_D_real: -0.011605 Loss_D_fake 0.009145
[1233/5000][250/535][127190] Loss_D: -0.019885 Loss_G: 0.008941 Loss_D_real: -0.013582 Loss_D_fake 0.006304
[1233/5000][255/535][127191] Loss_D: -0.021003 Loss_G: 0.008589 Loss_D_real: -0.016726 Loss_D_fake 0.004277
[1233/5000][260/535][127192] Loss_D: -0.020244 Loss_G: 0.020299 Loss_D_real: -0.019067 Loss_D_fake 0.001178
[1233/5000][265/535][127193] Loss_D: -0.020289 Loss_G: -0.000468 Loss_D_real: -0.001355 Loss_D_fake 0.018933
[1233/5000][270/535][127194] Loss_D: -0.019824 Loss_G: 0.025684 Loss_D_real: -0.020480 Loss_D_fake -0.000657
[1233/5000][275/535][127195] Loss_D: -0.019896 Loss_G: 0.013829 Loss_D_real: -0.023272 Loss_D_fake -0.003375
[1233/5000][280/535][127196] Loss_D: -0.019842 Loss_G: -0.009263 Loss_D_real: -0.011148 Loss_D_fake 0.008694
[1233/5000][285/535][127197] Loss_D: -0.019263 Loss_G: 0.020247 Loss_D_real: -0.030394 Loss_D_fake -0.011131
[1233/5000][290/535][127198] Loss_D: -0.020790 Loss_G: -0.009163 Loss_D_real: -0.003452 Loss_D_fake 0.017338
[1233/5000][295/535][127199] Loss_D: -0.020855 Loss_G: 0.007402 Loss_D_real: -0.022092 Loss_D_fake -0.001237
[1233/5000][300/535][127200] Loss_D: -0.020008 Loss_G: -0.007562 Loss_D_real: -0.001576 Loss_D_fake 0.018433
[1233/5000][305/535][127201] Loss_D: -0.020646 Loss_G: 0.016809 Loss_D_real: -0.019153 Loss_D_fake 0.001493
[1233/5000][310/535][127202] Loss_D: -0.020605 Loss_G: 0.007606 Loss_D_real: -0.012081 Loss_D_fake 0.008524
[1233/5000][315/535][127203] Loss_D: -0.020553 Loss_G: 0.017391 Loss_D_real: -0.015561 Loss_D_fake 0.004992
[1233/5000][320/535][127204] Loss_D: -0.020544 Loss_G: 0.011525 Loss_D_real: -0.010877 Loss_D_fake 0.009666
[1233/5000][325/535][127205] Loss_D: -0.020397 Loss_G: -0.000938 Loss_D_real: -0.013141 Loss_D_fake 0.007255
[1233/5000][330/535][127206] Loss_D: -0.020572 Loss_G: 0.011098 Loss_D_real: -0.024187 Loss_D_fake -0.003615
[1233/5000][335/535][127207] Loss_D: -0.021418 Loss_G: -0.004626 Loss_D_real: 0.000006 Loss_D_fake 0.021424
[1233/5000][340/535][127208] Loss_D: -0.019067 Loss_G: 0.017102 Loss_D_real: -0.028702 Loss_D_fake -0.009635
[1233/5000][345/535][127209] Loss_D: -0.019471 Loss_G: 0.004695 Loss_D_real: -0.017205 Loss_D_fake 0.002266
[1233/5000][350/535][127210] Loss_D: -0.019447 Loss_G: 0.001640 Loss_D_real: -0.007341 Loss_D_fake 0.012106
[1233/5000][355/535][127211] Loss_D: -0.020997 Loss_G: 0.003471 Loss_D_real: -0.016837 Loss_D_fake 0.004160
[1233/5000][360/535][127212] Loss_D: -0.019769 Loss_G: 0.019765 Loss_D_real: -0.020359 Loss_D_fake -0.000590
[1233/5000][365/535][127213] Loss_D: -0.021372 Loss_G: 0.018900 Loss_D_real: -0.033347 Loss_D_fake -0.011974
[1233/5000][370/535][127214] Loss_D: -0.020637 Loss_G: 0.004878 Loss_D_real: -0.030534 Loss_D_fake -0.009898
[1233/5000][375/535][127215] Loss_D: -0.021881 Loss_G: 0.002872 Loss_D_real: -0.011083 Loss_D_fake 0.010798
[1233/5000][380/535][127216] Loss_D: -0.021360 Loss_G: -0.012008 Loss_D_real: -0.014665 Loss_D_fake 0.006695
[1233/5000][385/535][127217] Loss_D: -0.021723 Loss_G: 0.006125 Loss_D_real: -0.013036 Loss_D_fake 0.008688
[1233/5000][390/535][127218] Loss_D: -0.019968 Loss_G: 0.000091 Loss_D_real: -0.013150 Loss_D_fake 0.006818
[1233/5000][395/535][127219] Loss_D: -0.018890 Loss_G: 0.028896 Loss_D_real: -0.033823 Loss_D_fake -0.014933
[1233/5000][400/535][127220] Loss_D: -0.019717 Loss_G: 0.018020 Loss_D_real: -0.024686 Loss_D_fake -0.004969
[1233/5000][405/535][127221] Loss_D: -0.019664 Loss_G: 0.007958 Loss_D_real: -0.020193 Loss_D_fake -0.000529
[1233/5000][410/535][127222] Loss_D: -0.020954 Loss_G: 0.009664 Loss_D_real: -0.028991 Loss_D_fake -0.008037
[1233/5000][415/535][127223] Loss_D: -0.021334 Loss_G: -0.015055 Loss_D_real: -0.015468 Loss_D_fake 0.005866
[1233/5000][420/535][127224] Loss_D: -0.021207 Loss_G: 0.002376 Loss_D_real: -0.016104 Loss_D_fake 0.005103
[1233/5000][425/535][127225] Loss_D: -0.021388 Loss_G: -0.000473 Loss_D_real: -0.011372 Loss_D_fake 0.010015
[1233/5000][430/535][127226] Loss_D: -0.020711 Loss_G: 0.033017 Loss_D_real: -0.030141 Loss_D_fake -0.009430
[1233/5000][435/535][127227] Loss_D: -0.021376 Loss_G: 0.006196 Loss_D_real: -0.016584 Loss_D_fake 0.004792
[1233/5000][440/535][127228] Loss_D: -0.019344 Loss_G: 0.008111 Loss_D_real: -0.013310 Loss_D_fake 0.006034
[1233/5000][445/535][127229] Loss_D: -0.017971 Loss_G: 0.032317 Loss_D_real: -0.027296 Loss_D_fake -0.009325
[1233/5000][450/535][127230] Loss_D: -0.020193 Loss_G: -0.004059 Loss_D_real: -0.010263 Loss_D_fake 0.009930
[1233/5000][455/535][127231] Loss_D: -0.020886 Loss_G: 0.016112 Loss_D_real: -0.035384 Loss_D_fake -0.014497
[1233/5000][460/535][127232] Loss_D: -0.022330 Loss_G: 0.013331 Loss_D_real: -0.023167 Loss_D_fake -0.000838
[1233/5000][465/535][127233] Loss_D: -0.019955 Loss_G: 0.022819 Loss_D_real: -0.026264 Loss_D_fake -0.006308
[1233/5000][470/535][127234] Loss_D: -0.019818 Loss_G: -0.006968 Loss_D_real: -0.000821 Loss_D_fake 0.018997
[1233/5000][475/535][127235] Loss_D: -0.019355 Loss_G: 0.018108 Loss_D_real: -0.027749 Loss_D_fake -0.008394
[1233/5000][480/535][127236] Loss_D: -0.019803 Loss_G: 0.000394 Loss_D_real: -0.003288 Loss_D_fake 0.016515
[1233/5000][485/535][127237] Loss_D: -0.019495 Loss_G: 0.016228 Loss_D_real: -0.019291 Loss_D_fake 0.000203
[1233/5000][490/535][127238] Loss_D: -0.018898 Loss_G: 0.028833 Loss_D_real: -0.030039 Loss_D_fake -0.011141
[1233/5000][495/535][127239] Loss_D: -0.018756 Loss_G: 0.009867 Loss_D_real: -0.013914 Loss_D_fake 0.004843
[1233/5000][500/535][127240] Loss_D: -0.019052 Loss_G: -0.007111 Loss_D_real: -0.011158 Loss_D_fake 0.007894
[1233/5000][505/535][127241] Loss_D: -0.019373 Loss_G: -0.006895 Loss_D_real: -0.007382 Loss_D_fake 0.011992
[1233/5000][510/535][127242] Loss_D: -0.018165 Loss_G: 0.033287 Loss_D_real: -0.027332 Loss_D_fake -0.009167
[1233/5000][515/535][127243] Loss_D: -0.020556 Loss_G: 0.004528 Loss_D_real: -0.031658 Loss_D_fake -0.011102
[1233/5000][520/535][127244] Loss_D: -0.021139 Loss_G: 0.011164 Loss_D_real: -0.006353 Loss_D_fake 0.014787
[1233/5000][525/535][127245] Loss_D: -0.020004 Loss_G: 0.015576 Loss_D_real: -0.023204 Loss_D_fake -0.003199
[1233/5000][530/535][127246] Loss_D: -0.020452 Loss_G: -0.000027 Loss_D_real: -0.017760 Loss_D_fake 0.002692
[1233/5000][535/535][127247] Loss_D: -0.022815 Loss_G: 0.013583 Loss_D_real: -0.020826 Loss_D_fake 0.001988
[1234/5000][5/535][127248] Loss_D: -0.020193 Loss_G: 0.003134 Loss_D_real: -0.014921 Loss_D_fake 0.005272
[1234/5000][10/535][127249] Loss_D: -0.019560 Loss_G: 0.008918 Loss_D_real: -0.015551 Loss_D_fake 0.004009
[1234/5000][15/535][127250] Loss_D: -0.020150 Loss_G: 0.026417 Loss_D_real: -0.021582 Loss_D_fake -0.001432
[1234/5000][20/535][127251] Loss_D: -0.021013 Loss_G: -0.001432 Loss_D_real: -0.016908 Loss_D_fake 0.004105
[1234/5000][25/535][127252] Loss_D: -0.020241 Loss_G: 0.000210 Loss_D_real: -0.027921 Loss_D_fake -0.007680
[1234/5000][30/535][127253] Loss_D: -0.019699 Loss_G: -0.003038 Loss_D_real: -0.007258 Loss_D_fake 0.012442
[1234/5000][35/535][127254] Loss_D: -0.019774 Loss_G: -0.006257 Loss_D_real: -0.012904 Loss_D_fake 0.006869
[1234/5000][40/535][127255] Loss_D: -0.021028 Loss_G: 0.011209 Loss_D_real: -0.013706 Loss_D_fake 0.007322
[1234/5000][45/535][127256] Loss_D: -0.020602 Loss_G: -0.002800 Loss_D_real: -0.007575 Loss_D_fake 0.013026
[1234/5000][50/535][127257] Loss_D: -0.019130 Loss_G: 0.026307 Loss_D_real: -0.022630 Loss_D_fake -0.003500
[1234/5000][55/535][127258] Loss_D: -0.021092 Loss_G: 0.009999 Loss_D_real: -0.017860 Loss_D_fake 0.003231
[1234/5000][60/535][127259] Loss_D: -0.019625 Loss_G: 0.011331 Loss_D_real: -0.019946 Loss_D_fake -0.000321
[1234/5000][65/535][127260] Loss_D: -0.020175 Loss_G: 0.010167 Loss_D_real: -0.030327 Loss_D_fake -0.010152
[1234/5000][70/535][127261] Loss_D: -0.020309 Loss_G: 0.020954 Loss_D_real: -0.020808 Loss_D_fake -0.000499
[1234/5000][75/535][127262] Loss_D: -0.021212 Loss_G: 0.008867 Loss_D_real: -0.008846 Loss_D_fake 0.012367
[1234/5000][80/535][127263] Loss_D: -0.020605 Loss_G: 0.002601 Loss_D_real: -0.013262 Loss_D_fake 0.007344
[1234/5000][85/535][127264] Loss_D: -0.021804 Loss_G: -0.003416 Loss_D_real: -0.014531 Loss_D_fake 0.007272
[1234/5000][90/535][127265] Loss_D: -0.021511 Loss_G: 0.020607 Loss_D_real: -0.016442 Loss_D_fake 0.005069
[1234/5000][95/535][127266] Loss_D: -0.019872 Loss_G: 0.003031 Loss_D_real: 0.000143 Loss_D_fake 0.020015
[1234/5000][100/535][127267] Loss_D: -0.020045 Loss_G: 0.016315 Loss_D_real: -0.023896 Loss_D_fake -0.003851
[1234/5000][105/535][127268] Loss_D: -0.020693 Loss_G: -0.011822 Loss_D_real: -0.003512 Loss_D_fake 0.017181
[1234/5000][110/535][127269] Loss_D: -0.020373 Loss_G: 0.023703 Loss_D_real: -0.018401 Loss_D_fake 0.001972
[1234/5000][115/535][127270] Loss_D: -0.019782 Loss_G: 0.019007 Loss_D_real: -0.028750 Loss_D_fake -0.008967
[1234/5000][120/535][127271] Loss_D: -0.016343 Loss_G: 0.027203 Loss_D_real: -0.032702 Loss_D_fake -0.016359
[1234/5000][125/535][127272] Loss_D: -0.019873 Loss_G: 0.020786 Loss_D_real: -0.021173 Loss_D_fake -0.001300
[1234/5000][130/535][127273] Loss_D: -0.019682 Loss_G: -0.000462 Loss_D_real: -0.018342 Loss_D_fake 0.001340
[1234/5000][135/535][127274] Loss_D: -0.019726 Loss_G: 0.003605 Loss_D_real: -0.026750 Loss_D_fake -0.007023
[1234/5000][140/535][127275] Loss_D: -0.019318 Loss_G: 0.015616 Loss_D_real: -0.037047 Loss_D_fake -0.017729
[1234/5000][145/535][127276] Loss_D: -0.020630 Loss_G: 0.004285 Loss_D_real: -0.003298 Loss_D_fake 0.017332
[1234/5000][150/535][127277] Loss_D: -0.019414 Loss_G: 0.019554 Loss_D_real: -0.019144 Loss_D_fake 0.000270
[1234/5000][155/535][127278] Loss_D: -0.020733 Loss_G: -0.011438 Loss_D_real: -0.006850 Loss_D_fake 0.013883
[1234/5000][160/535][127279] Loss_D: -0.020552 Loss_G: 0.028813 Loss_D_real: -0.020768 Loss_D_fake -0.000216
[1234/5000][165/535][127280] Loss_D: -0.019606 Loss_G: 0.012235 Loss_D_real: -0.016621 Loss_D_fake 0.002985
[1234/5000][170/535][127281] Loss_D: -0.019417 Loss_G: 0.003930 Loss_D_real: -0.017826 Loss_D_fake 0.001591
[1234/5000][175/535][127282] Loss_D: -0.020266 Loss_G: -0.007195 Loss_D_real: -0.006913 Loss_D_fake 0.013354
[1234/5000][180/535][127283] Loss_D: -0.020146 Loss_G: 0.012131 Loss_D_real: -0.006518 Loss_D_fake 0.013628
[1234/5000][185/535][127284] Loss_D: -0.020701 Loss_G: 0.003715 Loss_D_real: -0.003380 Loss_D_fake 0.017320
[1234/5000][190/535][127285] Loss_D: -0.020826 Loss_G: 0.020474 Loss_D_real: -0.026418 Loss_D_fake -0.005592
[1234/5000][195/535][127286] Loss_D: -0.018916 Loss_G: -0.004484 Loss_D_real: -0.003420 Loss_D_fake 0.015496
[1234/5000][200/535][127287] Loss_D: -0.020845 Loss_G: -0.002138 Loss_D_real: -0.016641 Loss_D_fake 0.004203
[1234/5000][205/535][127288] Loss_D: -0.019193 Loss_G: 0.004429 Loss_D_real: -0.017936 Loss_D_fake 0.001257
[1234/5000][210/535][127289] Loss_D: -0.020131 Loss_G: -0.008954 Loss_D_real: -0.003086 Loss_D_fake 0.017046
[1234/5000][215/535][127290] Loss_D: -0.020064 Loss_G: 0.003668 Loss_D_real: -0.011985 Loss_D_fake 0.008079
[1234/5000][220/535][127291] Loss_D: -0.019076 Loss_G: 0.016706 Loss_D_real: -0.016838 Loss_D_fake 0.002239
[1234/5000][225/535][127292] Loss_D: -0.018726 Loss_G: 0.021907 Loss_D_real: -0.018106 Loss_D_fake 0.000621
[1234/5000][230/535][127293] Loss_D: -0.019178 Loss_G: -0.000413 Loss_D_real: -0.011757 Loss_D_fake 0.007421
[1234/5000][235/535][127294] Loss_D: -0.019945 Loss_G: 0.023844 Loss_D_real: -0.027677 Loss_D_fake -0.007733
[1234/5000][240/535][127295] Loss_D: -0.020090 Loss_G: -0.007212 Loss_D_real: 0.000236 Loss_D_fake 0.020326
[1234/5000][245/535][127296] Loss_D: -0.021367 Loss_G: 0.016421 Loss_D_real: -0.012736 Loss_D_fake 0.008631
[1234/5000][250/535][127297] Loss_D: -0.021791 Loss_G: -0.003150 Loss_D_real: -0.010850 Loss_D_fake 0.010941
[1234/5000][255/535][127298] Loss_D: -0.019710 Loss_G: 0.012613 Loss_D_real: -0.023581 Loss_D_fake -0.003871
[1234/5000][260/535][127299] Loss_D: -0.021381 Loss_G: 0.004760 Loss_D_real: -0.013651 Loss_D_fake 0.007729
[1234/5000][265/535][127300] Loss_D: -0.019205 Loss_G: 0.004704 Loss_D_real: -0.020886 Loss_D_fake -0.001681
[1234/5000][270/535][127301] Loss_D: -0.019401 Loss_G: -0.002030 Loss_D_real: -0.017962 Loss_D_fake 0.001439
[1234/5000][275/535][127302] Loss_D: -0.021167 Loss_G: -0.001578 Loss_D_real: -0.011877 Loss_D_fake 0.009290
[1234/5000][280/535][127303] Loss_D: -0.020508 Loss_G: 0.005601 Loss_D_real: -0.020237 Loss_D_fake 0.000271
[1234/5000][285/535][127304] Loss_D: -0.019108 Loss_G: 0.027459 Loss_D_real: -0.036129 Loss_D_fake -0.017020
[1234/5000][290/535][127305] Loss_D: -0.021027 Loss_G: 0.006168 Loss_D_real: -0.016088 Loss_D_fake 0.004938
[1234/5000][295/535][127306] Loss_D: -0.019985 Loss_G: 0.006814 Loss_D_real: -0.015774 Loss_D_fake 0.004211
[1234/5000][300/535][127307] Loss_D: -0.021079 Loss_G: 0.007868 Loss_D_real: -0.012017 Loss_D_fake 0.009063
[1234/5000][305/535][127308] Loss_D: -0.020069 Loss_G: 0.018949 Loss_D_real: -0.035679 Loss_D_fake -0.015610
[1234/5000][310/535][127309] Loss_D: -0.018967 Loss_G: -0.018212 Loss_D_real: 0.004215 Loss_D_fake 0.023182
[1234/5000][315/535][127310] Loss_D: -0.019707 Loss_G: 0.018599 Loss_D_real: -0.024240 Loss_D_fake -0.004533
[1234/5000][320/535][127311] Loss_D: -0.021348 Loss_G: 0.018672 Loss_D_real: -0.028650 Loss_D_fake -0.007302
[1234/5000][325/535][127312] Loss_D: -0.020505 Loss_G: 0.002444 Loss_D_real: -0.009208 Loss_D_fake 0.011297
[1234/5000][330/535][127313] Loss_D: -0.020500 Loss_G: 0.007458 Loss_D_real: -0.011123 Loss_D_fake 0.009377
[1234/5000][335/535][127314] Loss_D: -0.019061 Loss_G: 0.029784 Loss_D_real: -0.028959 Loss_D_fake -0.009897
[1234/5000][340/535][127315] Loss_D: -0.019214 Loss_G: -0.024066 Loss_D_real: -0.003148 Loss_D_fake 0.016066
[1234/5000][345/535][127316] Loss_D: -0.021086 Loss_G: 0.002866 Loss_D_real: -0.016096 Loss_D_fake 0.004990
[1234/5000][350/535][127317] Loss_D: -0.018738 Loss_G: 0.009659 Loss_D_real: -0.021647 Loss_D_fake -0.002910
[1234/5000][355/535][127318] Loss_D: -0.018942 Loss_G: -0.017323 Loss_D_real: -0.001586 Loss_D_fake 0.017355
[1234/5000][360/535][127319] Loss_D: -0.020588 Loss_G: 0.005236 Loss_D_real: -0.009110 Loss_D_fake 0.011477
[1234/5000][365/535][127320] Loss_D: -0.020197 Loss_G: 0.014765 Loss_D_real: -0.011847 Loss_D_fake 0.008350
[1234/5000][370/535][127321] Loss_D: -0.019930 Loss_G: 0.011506 Loss_D_real: -0.026387 Loss_D_fake -0.006458
[1234/5000][375/535][127322] Loss_D: -0.020005 Loss_G: 0.012754 Loss_D_real: -0.024302 Loss_D_fake -0.004298
[1234/5000][380/535][127323] Loss_D: -0.020363 Loss_G: -0.007219 Loss_D_real: -0.003148 Loss_D_fake 0.017215
[1234/5000][385/535][127324] Loss_D: -0.019274 Loss_G: 0.003830 Loss_D_real: -0.017079 Loss_D_fake 0.002195
[1234/5000][390/535][127325] Loss_D: -0.019708 Loss_G: 0.011298 Loss_D_real: -0.022130 Loss_D_fake -0.002422
[1234/5000][395/535][127326] Loss_D: -0.020250 Loss_G: 0.018367 Loss_D_real: -0.022601 Loss_D_fake -0.002351
[1234/5000][400/535][127327] Loss_D: -0.020485 Loss_G: 0.014689 Loss_D_real: -0.011819 Loss_D_fake 0.008666
[1234/5000][405/535][127328] Loss_D: -0.020512 Loss_G: -0.006598 Loss_D_real: -0.009541 Loss_D_fake 0.010971
[1234/5000][410/535][127329] Loss_D: -0.020311 Loss_G: 0.009926 Loss_D_real: -0.026407 Loss_D_fake -0.006096
[1234/5000][415/535][127330] Loss_D: -0.021543 Loss_G: 0.007390 Loss_D_real: -0.004750 Loss_D_fake 0.016793
[1234/5000][420/535][127331] Loss_D: -0.021035 Loss_G: 0.021649 Loss_D_real: -0.014746 Loss_D_fake 0.006289
[1234/5000][425/535][127332] Loss_D: -0.019976 Loss_G: 0.006293 Loss_D_real: -0.007022 Loss_D_fake 0.012954
[1234/5000][430/535][127333] Loss_D: -0.020585 Loss_G: 0.016885 Loss_D_real: -0.025967 Loss_D_fake -0.005382
[1234/5000][435/535][127334] Loss_D: -0.019467 Loss_G: -0.013838 Loss_D_real: 0.006223 Loss_D_fake 0.025690
[1234/5000][440/535][127335] Loss_D: -0.019848 Loss_G: 0.026697 Loss_D_real: -0.028385 Loss_D_fake -0.008537
[1234/5000][445/535][127336] Loss_D: -0.019382 Loss_G: 0.006889 Loss_D_real: -0.020472 Loss_D_fake -0.001090
[1234/5000][450/535][127337] Loss_D: -0.019932 Loss_G: 0.014224 Loss_D_real: -0.016665 Loss_D_fake 0.003267
[1234/5000][455/535][127338] Loss_D: -0.021082 Loss_G: 0.011551 Loss_D_real: -0.024766 Loss_D_fake -0.003683
[1234/5000][460/535][127339] Loss_D: -0.019904 Loss_G: 0.005825 Loss_D_real: -0.009939 Loss_D_fake 0.009965
[1234/5000][465/535][127340] Loss_D: -0.019838 Loss_G: -0.004811 Loss_D_real: -0.009771 Loss_D_fake 0.010066
[1234/5000][470/535][127341] Loss_D: -0.019735 Loss_G: 0.022644 Loss_D_real: -0.019385 Loss_D_fake 0.000350
[1234/5000][475/535][127342] Loss_D: -0.019116 Loss_G: 0.003165 Loss_D_real: -0.016369 Loss_D_fake 0.002747
[1234/5000][480/535][127343] Loss_D: -0.020199 Loss_G: 0.006526 Loss_D_real: -0.026226 Loss_D_fake -0.006027
[1234/5000][485/535][127344] Loss_D: -0.019740 Loss_G: 0.009080 Loss_D_real: -0.021464 Loss_D_fake -0.001724
[1234/5000][490/535][127345] Loss_D: -0.019694 Loss_G: -0.015918 Loss_D_real: -0.002434 Loss_D_fake 0.017260
[1234/5000][495/535][127346] Loss_D: -0.018927 Loss_G: 0.011790 Loss_D_real: -0.024784 Loss_D_fake -0.005857
[1234/5000][500/535][127347] Loss_D: -0.019651 Loss_G: 0.024319 Loss_D_real: -0.022869 Loss_D_fake -0.003218
[1234/5000][505/535][127348] Loss_D: -0.020446 Loss_G: 0.008908 Loss_D_real: -0.031186 Loss_D_fake -0.010739
[1234/5000][510/535][127349] Loss_D: -0.021530 Loss_G: -0.005626 Loss_D_real: -0.020441 Loss_D_fake 0.001089
[1234/5000][515/535][127350] Loss_D: -0.019638 Loss_G: -0.010847 Loss_D_real: -0.003942 Loss_D_fake 0.015696
[1234/5000][520/535][127351] Loss_D: -0.019415 Loss_G: 0.017867 Loss_D_real: -0.021527 Loss_D_fake -0.002112
[1234/5000][525/535][127352] Loss_D: -0.020746 Loss_G: -0.004492 Loss_D_real: -0.016607 Loss_D_fake 0.004139
[1234/5000][530/535][127353] Loss_D: -0.018669 Loss_G: -0.010731 Loss_D_real: -0.008245 Loss_D_fake 0.010424
[1234/5000][535/535][127354] Loss_D: -0.019720 Loss_G: -0.018026 Loss_D_real: -0.016857 Loss_D_fake 0.002864
[1235/5000][5/535][127355] Loss_D: -0.020809 Loss_G: 0.002145 Loss_D_real: -0.015194 Loss_D_fake 0.005615
[1235/5000][10/535][127356] Loss_D: -0.021431 Loss_G: 0.026734 Loss_D_real: -0.025137 Loss_D_fake -0.003706
[1235/5000][15/535][127357] Loss_D: -0.018317 Loss_G: 0.000705 Loss_D_real: -0.010170 Loss_D_fake 0.008147
[1235/5000][20/535][127358] Loss_D: -0.019531 Loss_G: 0.008401 Loss_D_real: -0.010704 Loss_D_fake 0.008827
[1235/5000][25/535][127359] Loss_D: -0.020599 Loss_G: 0.012610 Loss_D_real: -0.019013 Loss_D_fake 0.001586
[1235/5000][30/535][127360] Loss_D: -0.020829 Loss_G: 0.011642 Loss_D_real: -0.019587 Loss_D_fake 0.001241
[1235/5000][35/535][127361] Loss_D: -0.020788 Loss_G: 0.010023 Loss_D_real: -0.031777 Loss_D_fake -0.010988
[1235/5000][40/535][127362] Loss_D: -0.021089 Loss_G: 0.027147 Loss_D_real: -0.023475 Loss_D_fake -0.002386
[1235/5000][45/535][127363] Loss_D: -0.020215 Loss_G: -0.006280 Loss_D_real: -0.017392 Loss_D_fake 0.002823
[1235/5000][50/535][127364] Loss_D: -0.020700 Loss_G: 0.002853 Loss_D_real: -0.014217 Loss_D_fake 0.006483
[1235/5000][55/535][127365] Loss_D: -0.018896 Loss_G: -0.021572 Loss_D_real: -0.010317 Loss_D_fake 0.008579
[1235/5000][60/535][127366] Loss_D: -0.018887 Loss_G: 0.020169 Loss_D_real: -0.024944 Loss_D_fake -0.006057
[1235/5000][65/535][127367] Loss_D: -0.020368 Loss_G: 0.017728 Loss_D_real: -0.032885 Loss_D_fake -0.012518
[1235/5000][70/535][127368] Loss_D: -0.019765 Loss_G: -0.004813 Loss_D_real: -0.002517 Loss_D_fake 0.017248
[1235/5000][75/535][127369] Loss_D: -0.019782 Loss_G: 0.005192 Loss_D_real: -0.018203 Loss_D_fake 0.001579
[1235/5000][80/535][127370] Loss_D: -0.019772 Loss_G: 0.008714 Loss_D_real: -0.021083 Loss_D_fake -0.001311
[1235/5000][85/535][127371] Loss_D: -0.018541 Loss_G: 0.003097 Loss_D_real: -0.016708 Loss_D_fake 0.001833
[1235/5000][90/535][127372] Loss_D: -0.021382 Loss_G: 0.019018 Loss_D_real: -0.023744 Loss_D_fake -0.002362
[1235/5000][95/535][127373] Loss_D: -0.020868 Loss_G: 0.023495 Loss_D_real: -0.032370 Loss_D_fake -0.011502
[1235/5000][100/535][127374] Loss_D: -0.020637 Loss_G: -0.005779 Loss_D_real: 0.000237 Loss_D_fake 0.020875
[1235/5000][105/535][127375] Loss_D: -0.019688 Loss_G: 0.018744 Loss_D_real: -0.012053 Loss_D_fake 0.007635
[1235/5000][110/535][127376] Loss_D: -0.020416 Loss_G: -0.006768 Loss_D_real: -0.024597 Loss_D_fake -0.004181
[1235/5000][115/535][127377] Loss_D: -0.021046 Loss_G: 0.012830 Loss_D_real: -0.017170 Loss_D_fake 0.003876
[1235/5000][120/535][127378] Loss_D: -0.019793 Loss_G: 0.010209 Loss_D_real: -0.022373 Loss_D_fake -0.002579
[1235/5000][125/535][127379] Loss_D: -0.019466 Loss_G: 0.001674 Loss_D_real: -0.021529 Loss_D_fake -0.002063
[1235/5000][130/535][127380] Loss_D: -0.019873 Loss_G: 0.013570 Loss_D_real: -0.018486 Loss_D_fake 0.001386
[1235/5000][135/535][127381] Loss_D: -0.019417 Loss_G: 0.019602 Loss_D_real: -0.028674 Loss_D_fake -0.009257
[1235/5000][140/535][127382] Loss_D: -0.019751 Loss_G: 0.015411 Loss_D_real: -0.020743 Loss_D_fake -0.000992
[1235/5000][145/535][127383] Loss_D: -0.019353 Loss_G: -0.013094 Loss_D_real: -0.014549 Loss_D_fake 0.004804
[1235/5000][150/535][127384] Loss_D: -0.021158 Loss_G: 0.009476 Loss_D_real: -0.018950 Loss_D_fake 0.002208
[1235/5000][155/535][127385] Loss_D: -0.019493 Loss_G: 0.016826 Loss_D_real: -0.029354 Loss_D_fake -0.009862
[1235/5000][160/535][127386] Loss_D: -0.021235 Loss_G: -0.010020 Loss_D_real: -0.004904 Loss_D_fake 0.016331
[1235/5000][165/535][127387] Loss_D: -0.019364 Loss_G: 0.027240 Loss_D_real: -0.030600 Loss_D_fake -0.011236
[1235/5000][170/535][127388] Loss_D: -0.021059 Loss_G: 0.009579 Loss_D_real: -0.019901 Loss_D_fake 0.001158
[1235/5000][175/535][127389] Loss_D: -0.020203 Loss_G: 0.012091 Loss_D_real: -0.010415 Loss_D_fake 0.009789
[1235/5000][180/535][127390] Loss_D: -0.019868 Loss_G: -0.007018 Loss_D_real: -0.000789 Loss_D_fake 0.019079
[1235/5000][185/535][127391] Loss_D: -0.021467 Loss_G: 0.019876 Loss_D_real: -0.028591 Loss_D_fake -0.007124
[1235/5000][190/535][127392] Loss_D: -0.019019 Loss_G: -0.015317 Loss_D_real: 0.007891 Loss_D_fake 0.026910
[1235/5000][195/535][127393] Loss_D: -0.019973 Loss_G: 0.014578 Loss_D_real: -0.026865 Loss_D_fake -0.006893
[1235/5000][200/535][127394] Loss_D: -0.019968 Loss_G: 0.001594 Loss_D_real: -0.024928 Loss_D_fake -0.004960
[1235/5000][205/535][127395] Loss_D: -0.020169 Loss_G: -0.000258 Loss_D_real: -0.025664 Loss_D_fake -0.005495
[1235/5000][210/535][127396] Loss_D: -0.021372 Loss_G: 0.015362 Loss_D_real: -0.011615 Loss_D_fake 0.009757
[1235/5000][215/535][127397] Loss_D: -0.018915 Loss_G: -0.008661 Loss_D_real: -0.000673 Loss_D_fake 0.018241
[1235/5000][220/535][127398] Loss_D: -0.021106 Loss_G: 0.007138 Loss_D_real: -0.023998 Loss_D_fake -0.002892
[1235/5000][225/535][127399] Loss_D: -0.020033 Loss_G: -0.015782 Loss_D_real: -0.001302 Loss_D_fake 0.018731
[1235/5000][230/535][127400] Loss_D: -0.020133 Loss_G: 0.020297 Loss_D_real: -0.018471 Loss_D_fake 0.001662
[1235/5000][235/535][127401] Loss_D: -0.019625 Loss_G: -0.004540 Loss_D_real: -0.013893 Loss_D_fake 0.005733
[1235/5000][240/535][127402] Loss_D: -0.019041 Loss_G: 0.001481 Loss_D_real: -0.012960 Loss_D_fake 0.006080
[1235/5000][245/535][127403] Loss_D: -0.018742 Loss_G: 0.012427 Loss_D_real: -0.018362 Loss_D_fake 0.000380
[1235/5000][250/535][127404] Loss_D: -0.020659 Loss_G: 0.008592 Loss_D_real: -0.025525 Loss_D_fake -0.004866
[1235/5000][255/535][127405] Loss_D: -0.021870 Loss_G: 0.013719 Loss_D_real: -0.015376 Loss_D_fake 0.006495
[1235/5000][260/535][127406] Loss_D: -0.019896 Loss_G: -0.005368 Loss_D_real: -0.011556 Loss_D_fake 0.008341
[1235/5000][265/535][127407] Loss_D: -0.020357 Loss_G: 0.008302 Loss_D_real: -0.017004 Loss_D_fake 0.003353
[1235/5000][270/535][127408] Loss_D: -0.021420 Loss_G: 0.013348 Loss_D_real: -0.013299 Loss_D_fake 0.008121
[1235/5000][275/535][127409] Loss_D: -0.021374 Loss_G: 0.017332 Loss_D_real: -0.029878 Loss_D_fake -0.008504
[1235/5000][280/535][127410] Loss_D: -0.021031 Loss_G: 0.010126 Loss_D_real: -0.013519 Loss_D_fake 0.007512
[1235/5000][285/535][127411] Loss_D: -0.020539 Loss_G: -0.005436 Loss_D_real: -0.017923 Loss_D_fake 0.002616
[1235/5000][290/535][127412] Loss_D: -0.018588 Loss_G: 0.010691 Loss_D_real: -0.036059 Loss_D_fake -0.017471
[1235/5000][295/535][127413] Loss_D: -0.019520 Loss_G: 0.009234 Loss_D_real: -0.013353 Loss_D_fake 0.006166
[1235/5000][300/535][127414] Loss_D: -0.018908 Loss_G: 0.010280 Loss_D_real: -0.019167 Loss_D_fake -0.000259
[1235/5000][305/535][127415] Loss_D: -0.021048 Loss_G: 0.006368 Loss_D_real: -0.021302 Loss_D_fake -0.000254
[1235/5000][310/535][127416] Loss_D: -0.020914 Loss_G: 0.009178 Loss_D_real: -0.009205 Loss_D_fake 0.011709
[1235/5000][315/535][127417] Loss_D: -0.019969 Loss_G: -0.003650 Loss_D_real: -0.018571 Loss_D_fake 0.001398
[1235/5000][320/535][127418] Loss_D: -0.019034 Loss_G: 0.004342 Loss_D_real: -0.018329 Loss_D_fake 0.000705
[1235/5000][325/535][127419] Loss_D: -0.019625 Loss_G: 0.011700 Loss_D_real: -0.027319 Loss_D_fake -0.007694
[1235/5000][330/535][127420] Loss_D: -0.020261 Loss_G: 0.027998 Loss_D_real: -0.027042 Loss_D_fake -0.006781
[1235/5000][335/535][127421] Loss_D: -0.020517 Loss_G: 0.010284 Loss_D_real: -0.031368 Loss_D_fake -0.010852
[1235/5000][340/535][127422] Loss_D: -0.020934 Loss_G: -0.006295 Loss_D_real: -0.014190 Loss_D_fake 0.006744
[1235/5000][345/535][127423] Loss_D: -0.021709 Loss_G: -0.007555 Loss_D_real: -0.006014 Loss_D_fake 0.015695
[1235/5000][350/535][127424] Loss_D: -0.021704 Loss_G: 0.001471 Loss_D_real: -0.020090 Loss_D_fake 0.001614
[1235/5000][355/535][127425] Loss_D: -0.020605 Loss_G: 0.025501 Loss_D_real: -0.022811 Loss_D_fake -0.002206
[1235/5000][360/535][127426] Loss_D: -0.020636 Loss_G: 0.013364 Loss_D_real: -0.019032 Loss_D_fake 0.001604
[1235/5000][365/535][127427] Loss_D: -0.020852 Loss_G: 0.000973 Loss_D_real: -0.022793 Loss_D_fake -0.001941
[1235/5000][370/535][127428] Loss_D: -0.020535 Loss_G: 0.019829 Loss_D_real: -0.030308 Loss_D_fake -0.009772
[1235/5000][375/535][127429] Loss_D: -0.020435 Loss_G: -0.008933 Loss_D_real: -0.005777 Loss_D_fake 0.014658
[1235/5000][380/535][127430] Loss_D: -0.019663 Loss_G: 0.007684 Loss_D_real: -0.015556 Loss_D_fake 0.004107
[1235/5000][385/535][127431] Loss_D: -0.019722 Loss_G: -0.002440 Loss_D_real: -0.005090 Loss_D_fake 0.014632
[1235/5000][390/535][127432] Loss_D: -0.020619 Loss_G: 0.009526 Loss_D_real: -0.015420 Loss_D_fake 0.005199
[1235/5000][395/535][127433] Loss_D: -0.020357 Loss_G: 0.023061 Loss_D_real: -0.021228 Loss_D_fake -0.000871
[1235/5000][400/535][127434] Loss_D: -0.020833 Loss_G: 0.016675 Loss_D_real: -0.023076 Loss_D_fake -0.002242
[1235/5000][405/535][127435] Loss_D: -0.021129 Loss_G: 0.011631 Loss_D_real: -0.013050 Loss_D_fake 0.008078
[1235/5000][410/535][127436] Loss_D: -0.021135 Loss_G: 0.010614 Loss_D_real: -0.014422 Loss_D_fake 0.006712
[1235/5000][415/535][127437] Loss_D: -0.019595 Loss_G: -0.004236 Loss_D_real: -0.000569 Loss_D_fake 0.019026
[1235/5000][420/535][127438] Loss_D: -0.018789 Loss_G: 0.011069 Loss_D_real: -0.016110 Loss_D_fake 0.002679
[1235/5000][425/535][127439] Loss_D: -0.020157 Loss_G: 0.003546 Loss_D_real: -0.016943 Loss_D_fake 0.003214
[1235/5000][430/535][127440] Loss_D: -0.019768 Loss_G: -0.019014 Loss_D_real: -0.010576 Loss_D_fake 0.009192
[1235/5000][435/535][127441] Loss_D: -0.019710 Loss_G: -0.010842 Loss_D_real: -0.010357 Loss_D_fake 0.009353
[1235/5000][440/535][127442] Loss_D: -0.021985 Loss_G: -0.001670 Loss_D_real: -0.002948 Loss_D_fake 0.019037
[1235/5000][445/535][127443] Loss_D: -0.020095 Loss_G: 0.011978 Loss_D_real: -0.023327 Loss_D_fake -0.003232
[1235/5000][450/535][127444] Loss_D: -0.019549 Loss_G: 0.024943 Loss_D_real: -0.024017 Loss_D_fake -0.004468
[1235/5000][455/535][127445] Loss_D: -0.020857 Loss_G: -0.003733 Loss_D_real: -0.017132 Loss_D_fake 0.003725
[1235/5000][460/535][127446] Loss_D: -0.018566 Loss_G: 0.026857 Loss_D_real: -0.031445 Loss_D_fake -0.012879
[1235/5000][465/535][127447] Loss_D: -0.021028 Loss_G: -0.004253 Loss_D_real: -0.014944 Loss_D_fake 0.006084
[1235/5000][470/535][127448] Loss_D: -0.019911 Loss_G: 0.021189 Loss_D_real: -0.027145 Loss_D_fake -0.007234
[1235/5000][475/535][127449] Loss_D: -0.018859 Loss_G: 0.023981 Loss_D_real: -0.026282 Loss_D_fake -0.007424
[1235/5000][480/535][127450] Loss_D: -0.019784 Loss_G: 0.005756 Loss_D_real: -0.013155 Loss_D_fake 0.006628
[1235/5000][485/535][127451] Loss_D: -0.020631 Loss_G: 0.011209 Loss_D_real: -0.028593 Loss_D_fake -0.007963
[1235/5000][490/535][127452] Loss_D: -0.020371 Loss_G: 0.003948 Loss_D_real: -0.000068 Loss_D_fake 0.020302
[1235/5000][495/535][127453] Loss_D: -0.019773 Loss_G: -0.011676 Loss_D_real: -0.018839 Loss_D_fake 0.000934
[1235/5000][500/535][127454] Loss_D: -0.020609 Loss_G: 0.006065 Loss_D_real: -0.013062 Loss_D_fake 0.007547
[1235/5000][505/535][127455] Loss_D: -0.019862 Loss_G: 0.009587 Loss_D_real: -0.018613 Loss_D_fake 0.001249
[1235/5000][510/535][127456] Loss_D: -0.021711 Loss_G: 0.002232 Loss_D_real: -0.007126 Loss_D_fake 0.014585
[1235/5000][515/535][127457] Loss_D: -0.019644 Loss_G: 0.007543 Loss_D_real: -0.010669 Loss_D_fake 0.008975
[1235/5000][520/535][127458] Loss_D: -0.019960 Loss_G: 0.019195 Loss_D_real: -0.018276 Loss_D_fake 0.001684
[1235/5000][525/535][127459] Loss_D: -0.020211 Loss_G: 0.009708 Loss_D_real: -0.026854 Loss_D_fake -0.006643
[1235/5000][530/535][127460] Loss_D: -0.021591 Loss_G: 0.003525 Loss_D_real: -0.008483 Loss_D_fake 0.013108
[1235/5000][535/535][127461] Loss_D: -0.016816 Loss_G: -0.013336 Loss_D_real: -0.014791 Loss_D_fake 0.002025
[1236/5000][5/535][127462] Loss_D: -0.020041 Loss_G: 0.026589 Loss_D_real: -0.028844 Loss_D_fake -0.008803
[1236/5000][10/535][127463] Loss_D: -0.019156 Loss_G: -0.002205 Loss_D_real: -0.011495 Loss_D_fake 0.007660
[1236/5000][15/535][127464] Loss_D: -0.019526 Loss_G: 0.013604 Loss_D_real: -0.019539 Loss_D_fake -0.000013
[1236/5000][20/535][127465] Loss_D: -0.020186 Loss_G: 0.022730 Loss_D_real: -0.017793 Loss_D_fake 0.002393
[1236/5000][25/535][127466] Loss_D: -0.021457 Loss_G: 0.007313 Loss_D_real: -0.022327 Loss_D_fake -0.000870
[1236/5000][30/535][127467] Loss_D: -0.020172 Loss_G: 0.018960 Loss_D_real: -0.020933 Loss_D_fake -0.000761
[1236/5000][35/535][127468] Loss_D: -0.020230 Loss_G: 0.004592 Loss_D_real: -0.018079 Loss_D_fake 0.002151
[1236/5000][40/535][127469] Loss_D: -0.019855 Loss_G: -0.001244 Loss_D_real: -0.016166 Loss_D_fake 0.003688
[1236/5000][45/535][127470] Loss_D: -0.021435 Loss_G: 0.009779 Loss_D_real: -0.017855 Loss_D_fake 0.003579
[1236/5000][50/535][127471] Loss_D: -0.020777 Loss_G: 0.003001 Loss_D_real: -0.016339 Loss_D_fake 0.004438
[1236/5000][55/535][127472] Loss_D: -0.019458 Loss_G: -0.003409 Loss_D_real: 0.001102 Loss_D_fake 0.020560
[1236/5000][60/535][127473] Loss_D: -0.019749 Loss_G: -0.000427 Loss_D_real: -0.022710 Loss_D_fake -0.002961
[1236/5000][65/535][127474] Loss_D: -0.019873 Loss_G: 0.013444 Loss_D_real: -0.020235 Loss_D_fake -0.000362
[1236/5000][70/535][127475] Loss_D: -0.019791 Loss_G: 0.004194 Loss_D_real: -0.025148 Loss_D_fake -0.005357
[1236/5000][75/535][127476] Loss_D: -0.020872 Loss_G: 0.018575 Loss_D_real: -0.025583 Loss_D_fake -0.004711
[1236/5000][80/535][127477] Loss_D: -0.019611 Loss_G: 0.015729 Loss_D_real: -0.036376 Loss_D_fake -0.016765
[1236/5000][85/535][127478] Loss_D: -0.019207 Loss_G: -0.012999 Loss_D_real: 0.007288 Loss_D_fake 0.026495
[1236/5000][90/535][127479] Loss_D: -0.018900 Loss_G: 0.007837 Loss_D_real: -0.022222 Loss_D_fake -0.003322
[1236/5000][95/535][127480] Loss_D: -0.019581 Loss_G: 0.017775 Loss_D_real: -0.020301 Loss_D_fake -0.000720
[1236/5000][100/535][127481] Loss_D: -0.019938 Loss_G: 0.002649 Loss_D_real: -0.014207 Loss_D_fake 0.005731
[1236/5000][105/535][127482] Loss_D: -0.019993 Loss_G: -0.012185 Loss_D_real: -0.001301 Loss_D_fake 0.018692
[1236/5000][110/535][127483] Loss_D: -0.019080 Loss_G: 0.002904 Loss_D_real: 0.001000 Loss_D_fake 0.020080
[1236/5000][115/535][127484] Loss_D: -0.019182 Loss_G: 0.001098 Loss_D_real: -0.012465 Loss_D_fake 0.006716
[1236/5000][120/535][127485] Loss_D: -0.017210 Loss_G: -0.023400 Loss_D_real: 0.000541 Loss_D_fake 0.017751
[1236/5000][125/535][127486] Loss_D: -0.018586 Loss_G: 0.023324 Loss_D_real: -0.021107 Loss_D_fake -0.002521
[1236/5000][130/535][127487] Loss_D: -0.020543 Loss_G: 0.009537 Loss_D_real: -0.007783 Loss_D_fake 0.012761
[1236/5000][135/535][127488] Loss_D: -0.020576 Loss_G: 0.011030 Loss_D_real: -0.016096 Loss_D_fake 0.004480
[1236/5000][140/535][127489] Loss_D: -0.019468 Loss_G: 0.024151 Loss_D_real: -0.031171 Loss_D_fake -0.011704
[1236/5000][145/535][127490] Loss_D: -0.018099 Loss_G: 0.021608 Loss_D_real: -0.030159 Loss_D_fake -0.012060
[1236/5000][150/535][127491] Loss_D: -0.020328 Loss_G: -0.006240 Loss_D_real: -0.013009 Loss_D_fake 0.007320
[1236/5000][155/535][127492] Loss_D: -0.016965 Loss_G: 0.029976 Loss_D_real: -0.024386 Loss_D_fake -0.007421
[1236/5000][160/535][127493] Loss_D: -0.019564 Loss_G: -0.003744 Loss_D_real: -0.015258 Loss_D_fake 0.004306
[1236/5000][165/535][127494] Loss_D: -0.020056 Loss_G: 0.004736 Loss_D_real: -0.026924 Loss_D_fake -0.006868
[1236/5000][170/535][127495] Loss_D: -0.019654 Loss_G: -0.010347 Loss_D_real: -0.000679 Loss_D_fake 0.018976
[1236/5000][175/535][127496] Loss_D: -0.019730 Loss_G: 0.017127 Loss_D_real: -0.021745 Loss_D_fake -0.002015
[1236/5000][180/535][127497] Loss_D: -0.020838 Loss_G: 0.010385 Loss_D_real: -0.020434 Loss_D_fake 0.000404
[1236/5000][185/535][127498] Loss_D: -0.017795 Loss_G: 0.002441 Loss_D_real: -0.012105 Loss_D_fake 0.005689
[1236/5000][190/535][127499] Loss_D: -0.019074 Loss_G: 0.024274 Loss_D_real: -0.019249 Loss_D_fake -0.000175
[1236/5000][195/535][127500] Loss_D: -0.020372 Loss_G: 0.010270 Loss_D_real: -0.018717 Loss_D_fake 0.001655
[1236/5000][295/535][127501] Loss_D: -0.022056 Loss_G: 0.017887 Loss_D_real: -0.035781 Loss_D_fake -0.013724
[1236/5000][300/535][127502] Loss_D: -0.020962 Loss_G: 0.016153 Loss_D_real: -0.024021 Loss_D_fake -0.003059
[1236/5000][305/535][127503] Loss_D: -0.019266 Loss_G: 0.024876 Loss_D_real: -0.022811 Loss_D_fake -0.003545
[1236/5000][310/535][127504] Loss_D: -0.020243 Loss_G: -0.000324 Loss_D_real: -0.011349 Loss_D_fake 0.008894
[1236/5000][315/535][127505] Loss_D: -0.019636 Loss_G: 0.018786 Loss_D_real: -0.024853 Loss_D_fake -0.005217
[1236/5000][320/535][127506] Loss_D: -0.019135 Loss_G: -0.000020 Loss_D_real: -0.009409 Loss_D_fake 0.009725
[1236/5000][325/535][127507] Loss_D: -0.019018 Loss_G: 0.012752 Loss_D_real: -0.015821 Loss_D_fake 0.003196
[1236/5000][330/535][127508] Loss_D: -0.018330 Loss_G: 0.010930 Loss_D_real: -0.018702 Loss_D_fake -0.000372
[1236/5000][335/535][127509] Loss_D: -0.017894 Loss_G: 0.024833 Loss_D_real: -0.019383 Loss_D_fake -0.001489
[1236/5000][340/535][127510] Loss_D: -0.019764 Loss_G: 0.003475 Loss_D_real: -0.026748 Loss_D_fake -0.006984
[1236/5000][345/535][127511] Loss_D: -0.019690 Loss_G: -0.006934 Loss_D_real: -0.006373 Loss_D_fake 0.013317
[1236/5000][350/535][127512] Loss_D: -0.019166 Loss_G: 0.014251 Loss_D_real: -0.009620 Loss_D_fake 0.009546
[1236/5000][355/535][127513] Loss_D: -0.019478 Loss_G: 0.005750 Loss_D_real: -0.026676 Loss_D_fake -0.007197
[1236/5000][360/535][127514] Loss_D: -0.020073 Loss_G: 0.011924 Loss_D_real: -0.014505 Loss_D_fake 0.005568
[1236/5000][365/535][127515] Loss_D: -0.019362 Loss_G: -0.005417 Loss_D_real: -0.001590 Loss_D_fake 0.017772
[1236/5000][370/535][127516] Loss_D: -0.020014 Loss_G: 0.006395 Loss_D_real: -0.017251 Loss_D_fake 0.002763
[1236/5000][375/535][127517] Loss_D: -0.019996 Loss_G: 0.000715 Loss_D_real: -0.009625 Loss_D_fake 0.010370
[1236/5000][380/535][127518] Loss_D: -0.020639 Loss_G: 0.026162 Loss_D_real: -0.016433 Loss_D_fake 0.004207
[1236/5000][385/535][127519] Loss_D: -0.019312 Loss_G: 0.010433 Loss_D_real: -0.028522 Loss_D_fake -0.009210
[1236/5000][390/535][127520] Loss_D: -0.020887 Loss_G: 0.000265 Loss_D_real: -0.009364 Loss_D_fake 0.011523
[1236/5000][395/535][127521] Loss_D: -0.018608 Loss_G: 0.020835 Loss_D_real: -0.029927 Loss_D_fake -0.011319
[1236/5000][400/535][127522] Loss_D: -0.019655 Loss_G: 0.021364 Loss_D_real: -0.023582 Loss_D_fake -0.003927
[1236/5000][405/535][127523] Loss_D: -0.020223 Loss_G: 0.005994 Loss_D_real: -0.026234 Loss_D_fake -0.006011
[1236/5000][410/535][127524] Loss_D: -0.020682 Loss_G: -0.008149 Loss_D_real: -0.013806 Loss_D_fake 0.006875
[1236/5000][415/535][127525] Loss_D: -0.020055 Loss_G: 0.005175 Loss_D_real: -0.018319 Loss_D_fake 0.001736
[1236/5000][420/535][127526] Loss_D: -0.021055 Loss_G: 0.002446 Loss_D_real: -0.001709 Loss_D_fake 0.019346
[1236/5000][425/535][127527] Loss_D: -0.019608 Loss_G: 0.022855 Loss_D_real: -0.026182 Loss_D_fake -0.006574
[1236/5000][430/535][127528] Loss_D: -0.019156 Loss_G: 0.006917 Loss_D_real: -0.024065 Loss_D_fake -0.004909
[1236/5000][435/535][127529] Loss_D: -0.021847 Loss_G: 0.008004 Loss_D_real: -0.011807 Loss_D_fake 0.010040
[1236/5000][440/535][127530] Loss_D: -0.020788 Loss_G: 0.024122 Loss_D_real: -0.015476 Loss_D_fake 0.005312
[1236/5000][445/535][127531] Loss_D: -0.021113 Loss_G: 0.002538 Loss_D_real: -0.019003 Loss_D_fake 0.002110
[1236/5000][450/535][127532] Loss_D: -0.020221 Loss_G: 0.006323 Loss_D_real: -0.017904 Loss_D_fake 0.002318
[1236/5000][455/535][127533] Loss_D: -0.020671 Loss_G: -0.000828 Loss_D_real: -0.015176 Loss_D_fake 0.005495
[1236/5000][460/535][127534] Loss_D: -0.020477 Loss_G: 0.022323 Loss_D_real: -0.030732 Loss_D_fake -0.010255
[1236/5000][465/535][127535] Loss_D: -0.021427 Loss_G: -0.007453 Loss_D_real: -0.017465 Loss_D_fake 0.003962
[1236/5000][470/535][127536] Loss_D: -0.021078 Loss_G: 0.007159 Loss_D_real: -0.018583 Loss_D_fake 0.002495
[1236/5000][475/535][127537] Loss_D: -0.020412 Loss_G: 0.010651 Loss_D_real: -0.020513 Loss_D_fake -0.000101
[1236/5000][480/535][127538] Loss_D: -0.020087 Loss_G: 0.011196 Loss_D_real: -0.015879 Loss_D_fake 0.004208
[1236/5000][485/535][127539] Loss_D: -0.021216 Loss_G: -0.004740 Loss_D_real: -0.002613 Loss_D_fake 0.018603
[1236/5000][490/535][127540] Loss_D: -0.019511 Loss_G: -0.017067 Loss_D_real: 0.000574 Loss_D_fake 0.020086
[1236/5000][495/535][127541] Loss_D: -0.020441 Loss_G: -0.002374 Loss_D_real: -0.013277 Loss_D_fake 0.007164
[1236/5000][500/535][127542] Loss_D: -0.019806 Loss_G: -0.006017 Loss_D_real: -0.011811 Loss_D_fake 0.007995
[1236/5000][505/535][127543] Loss_D: -0.018465 Loss_G: -0.016592 Loss_D_real: 0.001468 Loss_D_fake 0.019934
[1236/5000][510/535][127544] Loss_D: -0.021958 Loss_G: 0.016208 Loss_D_real: -0.014700 Loss_D_fake 0.007258
[1236/5000][515/535][127545] Loss_D: -0.022297 Loss_G: 0.003290 Loss_D_real: -0.010945 Loss_D_fake 0.011351
[1236/5000][520/535][127546] Loss_D: -0.020606 Loss_G: -0.001042 Loss_D_real: -0.010878 Loss_D_fake 0.009728
[1236/5000][525/535][127547] Loss_D: -0.020202 Loss_G: 0.025282 Loss_D_real: -0.022220 Loss_D_fake -0.002018
[1236/5000][530/535][127548] Loss_D: -0.020579 Loss_G: 0.013491 Loss_D_real: -0.019753 Loss_D_fake 0.000826
[1236/5000][535/535][127549] Loss_D: -0.018611 Loss_G: 0.010355 Loss_D_real: -0.014574 Loss_D_fake 0.004037
[1237/5000][5/535][127550] Loss_D: -0.020980 Loss_G: 0.017088 Loss_D_real: -0.026132 Loss_D_fake -0.005152
[1237/5000][10/535][127551] Loss_D: -0.021269 Loss_G: -0.000992 Loss_D_real: -0.020661 Loss_D_fake 0.000608
[1237/5000][15/535][127552] Loss_D: -0.019559 Loss_G: -0.007787 Loss_D_real: -0.006591 Loss_D_fake 0.012968
[1237/5000][20/535][127553] Loss_D: -0.018945 Loss_G: 0.012010 Loss_D_real: -0.012949 Loss_D_fake 0.005996
[1237/5000][25/535][127554] Loss_D: -0.020150 Loss_G: 0.015412 Loss_D_real: -0.026363 Loss_D_fake -0.006213
[1237/5000][30/535][127555] Loss_D: -0.020556 Loss_G: -0.003909 Loss_D_real: -0.018017 Loss_D_fake 0.002539
[1237/5000][35/535][127556] Loss_D: -0.020697 Loss_G: 0.017600 Loss_D_real: -0.027789 Loss_D_fake -0.007092
[1237/5000][40/535][127557] Loss_D: -0.020818 Loss_G: -0.001514 Loss_D_real: -0.006476 Loss_D_fake 0.014342
[1237/5000][45/535][127558] Loss_D: -0.019787 Loss_G: 0.004395 Loss_D_real: -0.010985 Loss_D_fake 0.008801
[1237/5000][50/535][127559] Loss_D: -0.019293 Loss_G: 0.021748 Loss_D_real: -0.022460 Loss_D_fake -0.003167
[1237/5000][55/535][127560] Loss_D: -0.021274 Loss_G: -0.004828 Loss_D_real: -0.004632 Loss_D_fake 0.016642
[1237/5000][60/535][127561] Loss_D: -0.019798 Loss_G: -0.001779 Loss_D_real: -0.008715 Loss_D_fake 0.011083
[1237/5000][65/535][127562] Loss_D: -0.019510 Loss_G: 0.022120 Loss_D_real: -0.029646 Loss_D_fake -0.010136
[1237/5000][70/535][127563] Loss_D: -0.020199 Loss_G: 0.017761 Loss_D_real: -0.022576 Loss_D_fake -0.002377
[1237/5000][75/535][127564] Loss_D: -0.019749 Loss_G: 0.007565 Loss_D_real: -0.008973 Loss_D_fake 0.010775
[1237/5000][80/535][127565] Loss_D: -0.020499 Loss_G: -0.006437 Loss_D_real: -0.000834 Loss_D_fake 0.019665
[1237/5000][85/535][127566] Loss_D: -0.019458 Loss_G: 0.016075 Loss_D_real: -0.019790 Loss_D_fake -0.000332
[1237/5000][90/535][127567] Loss_D: -0.019975 Loss_G: 0.010797 Loss_D_real: -0.013720 Loss_D_fake 0.006255
[1237/5000][95/535][127568] Loss_D: -0.019360 Loss_G: -0.009889 Loss_D_real: -0.009304 Loss_D_fake 0.010056
[1237/5000][100/535][127569] Loss_D: -0.019777 Loss_G: 0.003516 Loss_D_real: -0.018951 Loss_D_fake 0.000826
[1237/5000][105/535][127570] Loss_D: -0.018068 Loss_G: 0.027847 Loss_D_real: -0.036969 Loss_D_fake -0.018901
[1237/5000][110/535][127571] Loss_D: -0.019964 Loss_G: 0.013529 Loss_D_real: -0.031053 Loss_D_fake -0.011089
[1237/5000][115/535][127572] Loss_D: -0.020021 Loss_G: -0.002350 Loss_D_real: -0.008477 Loss_D_fake 0.011545
[1237/5000][120/535][127573] Loss_D: -0.019815 Loss_G: -0.014877 Loss_D_real: -0.002123 Loss_D_fake 0.017692
[1237/5000][125/535][127574] Loss_D: -0.019976 Loss_G: -0.005938 Loss_D_real: -0.004208 Loss_D_fake 0.015768
[1237/5000][130/535][127575] Loss_D: -0.019538 Loss_G: 0.022398 Loss_D_real: -0.018860 Loss_D_fake 0.000679
[1237/5000][135/535][127576] Loss_D: -0.020461 Loss_G: 0.015301 Loss_D_real: -0.020453 Loss_D_fake 0.000007
[1237/5000][140/535][127577] Loss_D: -0.019983 Loss_G: 0.011281 Loss_D_real: -0.019411 Loss_D_fake 0.000572
[1237/5000][145/535][127578] Loss_D: -0.019399 Loss_G: 0.005279 Loss_D_real: -0.012782 Loss_D_fake 0.006616
[1237/5000][150/535][127579] Loss_D: -0.021429 Loss_G: -0.008709 Loss_D_real: -0.016946 Loss_D_fake 0.004483
[1237/5000][155/535][127580] Loss_D: -0.019510 Loss_G: -0.008102 Loss_D_real: -0.006358 Loss_D_fake 0.013153
[1237/5000][160/535][127581] Loss_D: -0.020848 Loss_G: 0.024113 Loss_D_real: -0.025321 Loss_D_fake -0.004473
[1237/5000][165/535][127582] Loss_D: -0.020416 Loss_G: 0.010043 Loss_D_real: -0.024597 Loss_D_fake -0.004180
[1237/5000][170/535][127583] Loss_D: -0.020135 Loss_G: 0.009599 Loss_D_real: -0.021233 Loss_D_fake -0.001098
[1237/5000][175/535][127584] Loss_D: -0.019840 Loss_G: 0.031023 Loss_D_real: -0.027764 Loss_D_fake -0.007924
[1237/5000][180/535][127585] Loss_D: -0.019356 Loss_G: 0.014075 Loss_D_real: -0.027221 Loss_D_fake -0.007865
[1237/5000][185/535][127586] Loss_D: -0.019461 Loss_G: 0.000084 Loss_D_real: -0.005584 Loss_D_fake 0.013877
[1237/5000][190/535][127587] Loss_D: -0.019517 Loss_G: 0.006555 Loss_D_real: -0.015259 Loss_D_fake 0.004258
[1237/5000][195/535][127588] Loss_D: -0.019918 Loss_G: 0.014385 Loss_D_real: -0.023576 Loss_D_fake -0.003657
[1237/5000][200/535][127589] Loss_D: -0.018803 Loss_G: -0.007991 Loss_D_real: -0.000366 Loss_D_fake 0.018438
[1237/5000][205/535][127590] Loss_D: -0.018295 Loss_G: -0.005940 Loss_D_real: 0.000428 Loss_D_fake 0.018722
[1237/5000][210/535][127591] Loss_D: -0.020420 Loss_G: 0.002942 Loss_D_real: -0.013216 Loss_D_fake 0.007204
[1237/5000][215/535][127592] Loss_D: -0.019095 Loss_G: -0.004738 Loss_D_real: -0.012299 Loss_D_fake 0.006796
[1237/5000][220/535][127593] Loss_D: -0.020700 Loss_G: -0.009884 Loss_D_real: -0.001528 Loss_D_fake 0.019172
[1237/5000][225/535][127594] Loss_D: -0.019469 Loss_G: 0.016421 Loss_D_real: -0.029724 Loss_D_fake -0.010255
[1237/5000][230/535][127595] Loss_D: -0.019899 Loss_G: 0.027697 Loss_D_real: -0.031841 Loss_D_fake -0.011942
[1237/5000][235/535][127596] Loss_D: -0.020367 Loss_G: 0.000392 Loss_D_real: -0.013270 Loss_D_fake 0.007098
[1237/5000][240/535][127597] Loss_D: -0.020904 Loss_G: 0.013074 Loss_D_real: -0.016891 Loss_D_fake 0.004014
[1237/5000][245/535][127598] Loss_D: -0.021159 Loss_G: 0.009423 Loss_D_real: -0.013161 Loss_D_fake 0.007999
[1237/5000][250/535][127599] Loss_D: -0.020555 Loss_G: 0.015602 Loss_D_real: -0.018490 Loss_D_fake 0.002065
[1237/5000][255/535][127600] Loss_D: -0.020178 Loss_G: 0.017853 Loss_D_real: -0.021976 Loss_D_fake -0.001798
[1237/5000][260/535][127601] Loss_D: -0.020097 Loss_G: 0.007810 Loss_D_real: -0.017219 Loss_D_fake 0.002878
[1237/5000][265/535][127602] Loss_D: -0.019119 Loss_G: 0.012903 Loss_D_real: -0.033936 Loss_D_fake -0.014817
[1237/5000][270/535][127603] Loss_D: -0.020174 Loss_G: 0.017784 Loss_D_real: -0.025510 Loss_D_fake -0.005336
[1237/5000][275/535][127604] Loss_D: -0.019842 Loss_G: 0.029182 Loss_D_real: -0.008864 Loss_D_fake 0.010978
[1237/5000][280/535][127605] Loss_D: -0.020895 Loss_G: -0.008942 Loss_D_real: -0.019751 Loss_D_fake 0.001144
[1237/5000][285/535][127606] Loss_D: -0.019854 Loss_G: 0.014907 Loss_D_real: -0.014109 Loss_D_fake 0.005744
[1237/5000][290/535][127607] Loss_D: -0.022245 Loss_G: -0.007839 Loss_D_real: -0.021013 Loss_D_fake 0.001232
[1237/5000][295/535][127608] Loss_D: -0.021419 Loss_G: 0.014778 Loss_D_real: -0.026239 Loss_D_fake -0.004820
[1237/5000][300/535][127609] Loss_D: -0.019975 Loss_G: 0.028625 Loss_D_real: -0.033753 Loss_D_fake -0.013778
[1237/5000][305/535][127610] Loss_D: -0.019342 Loss_G: 0.001435 Loss_D_real: -0.009785 Loss_D_fake 0.009557
[1237/5000][310/535][127611] Loss_D: -0.021769 Loss_G: 0.012822 Loss_D_real: -0.011898 Loss_D_fake 0.009871
[1237/5000][315/535][127612] Loss_D: -0.019853 Loss_G: 0.009895 Loss_D_real: -0.031052 Loss_D_fake -0.011199
[1237/5000][320/535][127613] Loss_D: -0.020553 Loss_G: 0.009490 Loss_D_real: -0.009212 Loss_D_fake 0.011341
[1237/5000][325/535][127614] Loss_D: -0.019683 Loss_G: 0.007198 Loss_D_real: -0.029340 Loss_D_fake -0.009657
[1237/5000][330/535][127615] Loss_D: -0.020858 Loss_G: 0.015405 Loss_D_real: -0.009874 Loss_D_fake 0.010984
[1237/5000][335/535][127616] Loss_D: -0.019565 Loss_G: 0.016375 Loss_D_real: -0.025302 Loss_D_fake -0.005737
[1237/5000][340/535][127617] Loss_D: -0.020938 Loss_G: -0.009550 Loss_D_real: -0.023580 Loss_D_fake -0.002642
[1237/5000][345/535][127618] Loss_D: -0.018732 Loss_G: 0.020775 Loss_D_real: -0.035195 Loss_D_fake -0.016463
[1237/5000][350/535][127619] Loss_D: -0.021222 Loss_G: 0.012744 Loss_D_real: -0.005699 Loss_D_fake 0.015523
[1237/5000][355/535][127620] Loss_D: -0.019874 Loss_G: 0.020837 Loss_D_real: -0.022249 Loss_D_fake -0.002375
[1237/5000][360/535][127621] Loss_D: -0.021520 Loss_G: 0.004153 Loss_D_real: -0.016961 Loss_D_fake 0.004558
[1237/5000][365/535][127622] Loss_D: -0.021236 Loss_G: 0.010086 Loss_D_real: -0.020086 Loss_D_fake 0.001151
[1237/5000][370/535][127623] Loss_D: -0.022243 Loss_G: 0.012731 Loss_D_real: -0.013921 Loss_D_fake 0.008322
[1237/5000][375/535][127624] Loss_D: -0.020490 Loss_G: 0.001429 Loss_D_real: -0.010891 Loss_D_fake 0.009599
[1237/5000][380/535][127625] Loss_D: -0.020715 Loss_G: 0.013959 Loss_D_real: -0.014875 Loss_D_fake 0.005840
[1237/5000][385/535][127626] Loss_D: -0.019720 Loss_G: 0.026931 Loss_D_real: -0.019500 Loss_D_fake 0.000221
[1237/5000][390/535][127627] Loss_D: -0.019738 Loss_G: -0.002739 Loss_D_real: -0.020493 Loss_D_fake -0.000755
[1237/5000][395/535][127628] Loss_D: -0.017906 Loss_G: -0.018249 Loss_D_real: 0.005790 Loss_D_fake 0.023695
[1237/5000][400/535][127629] Loss_D: -0.019681 Loss_G: 0.018130 Loss_D_real: -0.021075 Loss_D_fake -0.001394
[1237/5000][405/535][127630] Loss_D: -0.018746 Loss_G: -0.020956 Loss_D_real: 0.004766 Loss_D_fake 0.023512
[1237/5000][410/535][127631] Loss_D: -0.018154 Loss_G: -0.007342 Loss_D_real: -0.014511 Loss_D_fake 0.003642
[1237/5000][415/535][127632] Loss_D: -0.019618 Loss_G: 0.021779 Loss_D_real: -0.026111 Loss_D_fake -0.006493
[1237/5000][420/535][127633] Loss_D: -0.019675 Loss_G: -0.000619 Loss_D_real: -0.011862 Loss_D_fake 0.007813
[1237/5000][425/535][127634] Loss_D: -0.019966 Loss_G: 0.009209 Loss_D_real: -0.025300 Loss_D_fake -0.005334
[1237/5000][430/535][127635] Loss_D: -0.019917 Loss_G: 0.003158 Loss_D_real: -0.017222 Loss_D_fake 0.002695
[1237/5000][435/535][127636] Loss_D: -0.020587 Loss_G: 0.005759 Loss_D_real: -0.013002 Loss_D_fake 0.007585
[1237/5000][440/535][127637] Loss_D: -0.020157 Loss_G: -0.007426 Loss_D_real: -0.015230 Loss_D_fake 0.004927
[1237/5000][445/535][127638] Loss_D: -0.019880 Loss_G: 0.008819 Loss_D_real: -0.033042 Loss_D_fake -0.013162
[1237/5000][450/535][127639] Loss_D: -0.019660 Loss_G: 0.001160 Loss_D_real: -0.015233 Loss_D_fake 0.004427
[1237/5000][455/535][127640] Loss_D: -0.020358 Loss_G: 0.010256 Loss_D_real: -0.025507 Loss_D_fake -0.005149
[1237/5000][460/535][127641] Loss_D: -0.020614 Loss_G: 0.007991 Loss_D_real: -0.008280 Loss_D_fake 0.012335
[1237/5000][465/535][127642] Loss_D: -0.020572 Loss_G: -0.006904 Loss_D_real: -0.002678 Loss_D_fake 0.017894
[1237/5000][470/535][127643] Loss_D: -0.018946 Loss_G: -0.008835 Loss_D_real: -0.002018 Loss_D_fake 0.016927
[1237/5000][475/535][127644] Loss_D: -0.021190 Loss_G: 0.011574 Loss_D_real: 0.001312 Loss_D_fake 0.022502
[1237/5000][480/535][127645] Loss_D: -0.021511 Loss_G: 0.008666 Loss_D_real: -0.014939 Loss_D_fake 0.006571
[1237/5000][485/535][127646] Loss_D: -0.019660 Loss_G: -0.002227 Loss_D_real: -0.010034 Loss_D_fake 0.009626
[1237/5000][490/535][127647] Loss_D: -0.020479 Loss_G: -0.004198 Loss_D_real: -0.003462 Loss_D_fake 0.017017
[1237/5000][495/535][127648] Loss_D: -0.020579 Loss_G: 0.006463 Loss_D_real: -0.015040 Loss_D_fake 0.005539
[1237/5000][500/535][127649] Loss_D: -0.020947 Loss_G: 0.019095 Loss_D_real: -0.019412 Loss_D_fake 0.001535
[1237/5000][505/535][127650] Loss_D: -0.019640 Loss_G: -0.002337 Loss_D_real: -0.001930 Loss_D_fake 0.017710
[1237/5000][510/535][127651] Loss_D: -0.020021 Loss_G: -0.002014 Loss_D_real: -0.006693 Loss_D_fake 0.013328
[1237/5000][515/535][127652] Loss_D: -0.021778 Loss_G: 0.013133 Loss_D_real: -0.016871 Loss_D_fake 0.004907
[1237/5000][520/535][127653] Loss_D: -0.019619 Loss_G: 0.018045 Loss_D_real: -0.025858 Loss_D_fake -0.006239
[1237/5000][525/535][127654] Loss_D: -0.020078 Loss_G: -0.005206 Loss_D_real: -0.010824 Loss_D_fake 0.009255
[1237/5000][530/535][127655] Loss_D: -0.019511 Loss_G: 0.010188 Loss_D_real: -0.019948 Loss_D_fake -0.000437
[1237/5000][535/535][127656] Loss_D: -0.021065 Loss_G: 0.032570 Loss_D_real: -0.019947 Loss_D_fake 0.001117
[1238/5000][5/535][127657] Loss_D: -0.020417 Loss_G: 0.012969 Loss_D_real: -0.018810 Loss_D_fake 0.001607
[1238/5000][10/535][127658] Loss_D: -0.019955 Loss_G: -0.018107 Loss_D_real: -0.007435 Loss_D_fake 0.012520
[1238/5000][15/535][127659] Loss_D: -0.021660 Loss_G: 0.016073 Loss_D_real: -0.013427 Loss_D_fake 0.008233
[1238/5000][20/535][127660] Loss_D: -0.020926 Loss_G: -0.017537 Loss_D_real: -0.013041 Loss_D_fake 0.007885
[1238/5000][25/535][127661] Loss_D: -0.020886 Loss_G: 0.020344 Loss_D_real: -0.024837 Loss_D_fake -0.003951
[1238/5000][30/535][127662] Loss_D: -0.019540 Loss_G: 0.009739 Loss_D_real: -0.006365 Loss_D_fake 0.013175
[1238/5000][35/535][127663] Loss_D: -0.021110 Loss_G: 0.019644 Loss_D_real: -0.014508 Loss_D_fake 0.006602
[1238/5000][40/535][127664] Loss_D: -0.020389 Loss_G: 0.003972 Loss_D_real: -0.019467 Loss_D_fake 0.000922
[1238/5000][45/535][127665] Loss_D: -0.020834 Loss_G: 0.010755 Loss_D_real: -0.027363 Loss_D_fake -0.006530
[1238/5000][50/535][127666] Loss_D: -0.019792 Loss_G: 0.014213 Loss_D_real: -0.027113 Loss_D_fake -0.007321
[1238/5000][55/535][127667] Loss_D: -0.021034 Loss_G: 0.007199 Loss_D_real: -0.016324 Loss_D_fake 0.004710
[1238/5000][60/535][127668] Loss_D: -0.019783 Loss_G: 0.011763 Loss_D_real: -0.017320 Loss_D_fake 0.002463
[1238/5000][65/535][127669] Loss_D: -0.020246 Loss_G: -0.003369 Loss_D_real: -0.002744 Loss_D_fake 0.017502
[1238/5000][70/535][127670] Loss_D: -0.020275 Loss_G: 0.001876 Loss_D_real: -0.001533 Loss_D_fake 0.018743
[1238/5000][75/535][127671] Loss_D: -0.019921 Loss_G: 0.011494 Loss_D_real: -0.029014 Loss_D_fake -0.009093
[1238/5000][80/535][127672] Loss_D: -0.021030 Loss_G: 0.010138 Loss_D_real: -0.014299 Loss_D_fake 0.006731
[1238/5000][85/535][127673] Loss_D: -0.020563 Loss_G: 0.011369 Loss_D_real: -0.010862 Loss_D_fake 0.009701
[1238/5000][90/535][127674] Loss_D: -0.018683 Loss_G: 0.023822 Loss_D_real: -0.029522 Loss_D_fake -0.010839
[1238/5000][95/535][127675] Loss_D: -0.018562 Loss_G: 0.014192 Loss_D_real: -0.022329 Loss_D_fake -0.003767
[1238/5000][100/535][127676] Loss_D: -0.021116 Loss_G: 0.000716 Loss_D_real: -0.005436 Loss_D_fake 0.015680
[1238/5000][105/535][127677] Loss_D: -0.020627 Loss_G: -0.000365 Loss_D_real: -0.020487 Loss_D_fake 0.000140
[1238/5000][110/535][127678] Loss_D: -0.019767 Loss_G: -0.004280 Loss_D_real: -0.022871 Loss_D_fake -0.003104
[1238/5000][115/535][127679] Loss_D: -0.019489 Loss_G: 0.002496 Loss_D_real: -0.007058 Loss_D_fake 0.012432
[1238/5000][120/535][127680] Loss_D: -0.018797 Loss_G: 0.007174 Loss_D_real: -0.034828 Loss_D_fake -0.016031
[1238/5000][125/535][127681] Loss_D: -0.019625 Loss_G: -0.014409 Loss_D_real: 0.001672 Loss_D_fake 0.021297
[1238/5000][130/535][127682] Loss_D: -0.019951 Loss_G: 0.002575 Loss_D_real: -0.008711 Loss_D_fake 0.011240
[1238/5000][135/535][127683] Loss_D: -0.020183 Loss_G: -0.001204 Loss_D_real: -0.017449 Loss_D_fake 0.002734
[1238/5000][140/535][127684] Loss_D: -0.021786 Loss_G: 0.011183 Loss_D_real: -0.017849 Loss_D_fake 0.003937
[1238/5000][145/535][127685] Loss_D: -0.022234 Loss_G: 0.009983 Loss_D_real: -0.005546 Loss_D_fake 0.016687
[1238/5000][150/535][127686] Loss_D: -0.019817 Loss_G: 0.015301 Loss_D_real: -0.023651 Loss_D_fake -0.003834
[1238/5000][155/535][127687] Loss_D: -0.021488 Loss_G: 0.003773 Loss_D_real: -0.017986 Loss_D_fake 0.003501
[1238/5000][160/535][127688] Loss_D: -0.019859 Loss_G: 0.009509 Loss_D_real: -0.020548 Loss_D_fake -0.000689
[1238/5000][165/535][127689] Loss_D: -0.019733 Loss_G: 0.001551 Loss_D_real: -0.014522 Loss_D_fake 0.005211
[1238/5000][170/535][127690] Loss_D: -0.020276 Loss_G: -0.000315 Loss_D_real: -0.023022 Loss_D_fake -0.002746
[1238/5000][175/535][127691] Loss_D: -0.020202 Loss_G: 0.013534 Loss_D_real: -0.014324 Loss_D_fake 0.005878
[1238/5000][180/535][127692] Loss_D: -0.019328 Loss_G: -0.001693 Loss_D_real: -0.001419 Loss_D_fake 0.017910
[1238/5000][185/535][127693] Loss_D: -0.020502 Loss_G: 0.002729 Loss_D_real: -0.012861 Loss_D_fake 0.007641
[1238/5000][190/535][127694] Loss_D: -0.019163 Loss_G: -0.009430 Loss_D_real: -0.006112 Loss_D_fake 0.013051
[1238/5000][195/535][127695] Loss_D: -0.020857 Loss_G: 0.019500 Loss_D_real: -0.020930 Loss_D_fake -0.000073
[1238/5000][200/535][127696] Loss_D: -0.020441 Loss_G: -0.007250 Loss_D_real: -0.010005 Loss_D_fake 0.010436
[1238/5000][205/535][127697] Loss_D: -0.019632 Loss_G: 0.011187 Loss_D_real: -0.019425 Loss_D_fake 0.000208
[1238/5000][210/535][127698] Loss_D: -0.020729 Loss_G: -0.001484 Loss_D_real: -0.028371 Loss_D_fake -0.007641
[1238/5000][215/535][127699] Loss_D: -0.019928 Loss_G: 0.016265 Loss_D_real: -0.025047 Loss_D_fake -0.005119
[1238/5000][220/535][127700] Loss_D: -0.020421 Loss_G: 0.030352 Loss_D_real: -0.021153 Loss_D_fake -0.000732
[1238/5000][225/535][127701] Loss_D: -0.020748 Loss_G: -0.003720 Loss_D_real: -0.017067 Loss_D_fake 0.003681
[1238/5000][230/535][127702] Loss_D: -0.018023 Loss_G: 0.023786 Loss_D_real: -0.031454 Loss_D_fake -0.013431
[1238/5000][235/535][127703] Loss_D: -0.019565 Loss_G: -0.000104 Loss_D_real: -0.002954 Loss_D_fake 0.016611
[1238/5000][240/535][127704] Loss_D: -0.020605 Loss_G: 0.019659 Loss_D_real: -0.019763 Loss_D_fake 0.000842
[1238/5000][245/535][127705] Loss_D: -0.019934 Loss_G: -0.011021 Loss_D_real: -0.013912 Loss_D_fake 0.006023
[1238/5000][250/535][127706] Loss_D: -0.020671 Loss_G: 0.008418 Loss_D_real: -0.011081 Loss_D_fake 0.009591
[1238/5000][255/535][127707] Loss_D: -0.020904 Loss_G: -0.011284 Loss_D_real: -0.005496 Loss_D_fake 0.015408
[1238/5000][260/535][127708] Loss_D: -0.021454 Loss_G: 0.017342 Loss_D_real: -0.017389 Loss_D_fake 0.004065
[1238/5000][265/535][127709] Loss_D: -0.020576 Loss_G: -0.008495 Loss_D_real: -0.017510 Loss_D_fake 0.003066
[1238/5000][270/535][127710] Loss_D: -0.020984 Loss_G: 0.004486 Loss_D_real: -0.014500 Loss_D_fake 0.006484
[1238/5000][275/535][127711] Loss_D: -0.020643 Loss_G: -0.005768 Loss_D_real: 0.004969 Loss_D_fake 0.025612
[1238/5000][280/535][127712] Loss_D: -0.020425 Loss_G: 0.013793 Loss_D_real: -0.026800 Loss_D_fake -0.006375
[1238/5000][285/535][127713] Loss_D: -0.018889 Loss_G: -0.011126 Loss_D_real: 0.000822 Loss_D_fake 0.019711
[1238/5000][290/535][127714] Loss_D: -0.021696 Loss_G: 0.001223 Loss_D_real: -0.014079 Loss_D_fake 0.007616
[1238/5000][295/535][127715] Loss_D: -0.020860 Loss_G: 0.010754 Loss_D_real: -0.017255 Loss_D_fake 0.003605
[1238/5000][300/535][127716] Loss_D: -0.021026 Loss_G: 0.009789 Loss_D_real: -0.010007 Loss_D_fake 0.011020
[1238/5000][305/535][127717] Loss_D: -0.020200 Loss_G: -0.007446 Loss_D_real: -0.003886 Loss_D_fake 0.016314
[1238/5000][310/535][127718] Loss_D: -0.020640 Loss_G: 0.007894 Loss_D_real: -0.022338 Loss_D_fake -0.001698
[1238/5000][315/535][127719] Loss_D: -0.020394 Loss_G: -0.001241 Loss_D_real: -0.004946 Loss_D_fake 0.015448
[1238/5000][320/535][127720] Loss_D: -0.019693 Loss_G: -0.000336 Loss_D_real: -0.010015 Loss_D_fake 0.009678
[1238/5000][325/535][127721] Loss_D: -0.020578 Loss_G: -0.004478 Loss_D_real: -0.017604 Loss_D_fake 0.002973
[1238/5000][330/535][127722] Loss_D: -0.019646 Loss_G: 0.034175 Loss_D_real: -0.028713 Loss_D_fake -0.009067
[1238/5000][335/535][127723] Loss_D: -0.018877 Loss_G: 0.003239 Loss_D_real: -0.016340 Loss_D_fake 0.002537
[1238/5000][340/535][127724] Loss_D: -0.019926 Loss_G: 0.012990 Loss_D_real: -0.035864 Loss_D_fake -0.015937
[1238/5000][345/535][127725] Loss_D: -0.020170 Loss_G: 0.023393 Loss_D_real: -0.027933 Loss_D_fake -0.007763
[1238/5000][350/535][127726] Loss_D: -0.020200 Loss_G: 0.011313 Loss_D_real: -0.020918 Loss_D_fake -0.000718
[1238/5000][355/535][127727] Loss_D: -0.020175 Loss_G: 0.002436 Loss_D_real: -0.022282 Loss_D_fake -0.002107
[1238/5000][360/535][127728] Loss_D: -0.019923 Loss_G: 0.011900 Loss_D_real: -0.025600 Loss_D_fake -0.005677
[1238/5000][365/535][127729] Loss_D: -0.019765 Loss_G: -0.024449 Loss_D_real: 0.010958 Loss_D_fake 0.030723
[1238/5000][370/535][127730] Loss_D: -0.019071 Loss_G: -0.009365 Loss_D_real: -0.011830 Loss_D_fake 0.007241
[1238/5000][375/535][127731] Loss_D: -0.018497 Loss_G: -0.003005 Loss_D_real: -0.019777 Loss_D_fake -0.001280
[1238/5000][380/535][127732] Loss_D: -0.020242 Loss_G: 0.009481 Loss_D_real: -0.015208 Loss_D_fake 0.005035
[1238/5000][385/535][127733] Loss_D: -0.020792 Loss_G: -0.004434 Loss_D_real: -0.004867 Loss_D_fake 0.015925
[1238/5000][390/535][127734] Loss_D: -0.019750 Loss_G: 0.011332 Loss_D_real: -0.024706 Loss_D_fake -0.004956
[1238/5000][395/535][127735] Loss_D: -0.019869 Loss_G: 0.006218 Loss_D_real: -0.004682 Loss_D_fake 0.015187
[1238/5000][400/535][127736] Loss_D: -0.019448 Loss_G: -0.003624 Loss_D_real: -0.002731 Loss_D_fake 0.016717
[1238/5000][405/535][127737] Loss_D: -0.020733 Loss_G: 0.020250 Loss_D_real: -0.019901 Loss_D_fake 0.000832
[1238/5000][410/535][127738] Loss_D: -0.019874 Loss_G: -0.011007 Loss_D_real: 0.002947 Loss_D_fake 0.022821
[1238/5000][415/535][127739] Loss_D: -0.019686 Loss_G: 0.015854 Loss_D_real: -0.026498 Loss_D_fake -0.006812
[1238/5000][420/535][127740] Loss_D: -0.019957 Loss_G: 0.001990 Loss_D_real: -0.006252 Loss_D_fake 0.013706
[1238/5000][425/535][127741] Loss_D: -0.019470 Loss_G: -0.002606 Loss_D_real: 0.002763 Loss_D_fake 0.022233
[1238/5000][430/535][127742] Loss_D: -0.019788 Loss_G: 0.000984 Loss_D_real: -0.007855 Loss_D_fake 0.011933
[1238/5000][435/535][127743] Loss_D: -0.019708 Loss_G: 0.004372 Loss_D_real: -0.016516 Loss_D_fake 0.003192
[1238/5000][440/535][127744] Loss_D: -0.020849 Loss_G: 0.009973 Loss_D_real: -0.021403 Loss_D_fake -0.000554
[1238/5000][445/535][127745] Loss_D: -0.019523 Loss_G: -0.001253 Loss_D_real: -0.000671 Loss_D_fake 0.018852
[1238/5000][450/535][127746] Loss_D: -0.020813 Loss_G: 0.012971 Loss_D_real: -0.022887 Loss_D_fake -0.002074
[1238/5000][455/535][127747] Loss_D: -0.018929 Loss_G: 0.019074 Loss_D_real: -0.019678 Loss_D_fake -0.000750
[1238/5000][460/535][127748] Loss_D: -0.019895 Loss_G: -0.006955 Loss_D_real: -0.004715 Loss_D_fake 0.015180
[1238/5000][465/535][127749] Loss_D: -0.018723 Loss_G: 0.033189 Loss_D_real: -0.029632 Loss_D_fake -0.010909
[1238/5000][470/535][127750] Loss_D: -0.019211 Loss_G: 0.019986 Loss_D_real: -0.024183 Loss_D_fake -0.004972
[1238/5000][475/535][127751] Loss_D: -0.020127 Loss_G: 0.003751 Loss_D_real: -0.021728 Loss_D_fake -0.001602
[1238/5000][480/535][127752] Loss_D: -0.019136 Loss_G: 0.023818 Loss_D_real: -0.033496 Loss_D_fake -0.014360
[1238/5000][485/535][127753] Loss_D: -0.021707 Loss_G: -0.000366 Loss_D_real: -0.015130 Loss_D_fake 0.006577
[1238/5000][490/535][127754] Loss_D: -0.019713 Loss_G: 0.026309 Loss_D_real: -0.016475 Loss_D_fake 0.003237
[1238/5000][495/535][127755] Loss_D: -0.020702 Loss_G: 0.002998 Loss_D_real: -0.003798 Loss_D_fake 0.016904
[1238/5000][500/535][127756] Loss_D: -0.019077 Loss_G: 0.000712 Loss_D_real: -0.011744 Loss_D_fake 0.007332
[1238/5000][505/535][127757] Loss_D: -0.020095 Loss_G: 0.001563 Loss_D_real: -0.001644 Loss_D_fake 0.018451
[1238/5000][510/535][127758] Loss_D: -0.019002 Loss_G: 0.004774 Loss_D_real: -0.012941 Loss_D_fake 0.006060
[1238/5000][515/535][127759] Loss_D: -0.020714 Loss_G: 0.007907 Loss_D_real: -0.011086 Loss_D_fake 0.009628
[1238/5000][520/535][127760] Loss_D: -0.020166 Loss_G: -0.000725 Loss_D_real: -0.006850 Loss_D_fake 0.013316
[1238/5000][525/535][127761] Loss_D: -0.019820 Loss_G: -0.016844 Loss_D_real: -0.001799 Loss_D_fake 0.018022
[1238/5000][530/535][127762] Loss_D: -0.021020 Loss_G: 0.007907 Loss_D_real: -0.011644 Loss_D_fake 0.009377
[1238/5000][535/535][127763] Loss_D: -0.020566 Loss_G: 0.036916 Loss_D_real: -0.020255 Loss_D_fake 0.000312
[1239/5000][5/535][127764] Loss_D: -0.021148 Loss_G: 0.003032 Loss_D_real: -0.023463 Loss_D_fake -0.002315
[1239/5000][10/535][127765] Loss_D: -0.019509 Loss_G: 0.005744 Loss_D_real: -0.010631 Loss_D_fake 0.008878
[1239/5000][15/535][127766] Loss_D: -0.019011 Loss_G: -0.002422 Loss_D_real: -0.007448 Loss_D_fake 0.011563
[1239/5000][20/535][127767] Loss_D: -0.019507 Loss_G: 0.015350 Loss_D_real: -0.014698 Loss_D_fake 0.004809
[1239/5000][25/535][127768] Loss_D: -0.019111 Loss_G: 0.010843 Loss_D_real: -0.015587 Loss_D_fake 0.003524
[1239/5000][30/535][127769] Loss_D: -0.019025 Loss_G: 0.017479 Loss_D_real: -0.022352 Loss_D_fake -0.003327
[1239/5000][35/535][127770] Loss_D: -0.020120 Loss_G: -0.010632 Loss_D_real: -0.013041 Loss_D_fake 0.007079
[1239/5000][40/535][127771] Loss_D: -0.019365 Loss_G: 0.011887 Loss_D_real: -0.019586 Loss_D_fake -0.000221
[1239/5000][45/535][127772] Loss_D: -0.019787 Loss_G: 0.002845 Loss_D_real: 0.000775 Loss_D_fake 0.020562
[1239/5000][50/535][127773] Loss_D: -0.020250 Loss_G: -0.002067 Loss_D_real: -0.013294 Loss_D_fake 0.006955
[1239/5000][55/535][127774] Loss_D: -0.018847 Loss_G: 0.032277 Loss_D_real: -0.034133 Loss_D_fake -0.015286
[1239/5000][60/535][127775] Loss_D: -0.017282 Loss_G: 0.017180 Loss_D_real: -0.025408 Loss_D_fake -0.008126
[1239/5000][65/535][127776] Loss_D: -0.020394 Loss_G: 0.003403 Loss_D_real: -0.013030 Loss_D_fake 0.007364
[1239/5000][70/535][127777] Loss_D: -0.020597 Loss_G: 0.000373 Loss_D_real: -0.009775 Loss_D_fake 0.010821
[1239/5000][75/535][127778] Loss_D: -0.020070 Loss_G: 0.001688 Loss_D_real: -0.021820 Loss_D_fake -0.001750
[1239/5000][80/535][127779] Loss_D: -0.020425 Loss_G: -0.004505 Loss_D_real: -0.003392 Loss_D_fake 0.017033
[1239/5000][85/535][127780] Loss_D: -0.019841 Loss_G: 0.017190 Loss_D_real: -0.021593 Loss_D_fake -0.001752
[1239/5000][90/535][127781] Loss_D: -0.020395 Loss_G: 0.006226 Loss_D_real: -0.032503 Loss_D_fake -0.012108
[1239/5000][95/535][127782] Loss_D: -0.022150 Loss_G: 0.007030 Loss_D_real: -0.012512 Loss_D_fake 0.009638
[1239/5000][100/535][127783] Loss_D: -0.019499 Loss_G: -0.005954 Loss_D_real: -0.011055 Loss_D_fake 0.008444
[1239/5000][105/535][127784] Loss_D: -0.019802 Loss_G: 0.007059 Loss_D_real: -0.025494 Loss_D_fake -0.005692
[1239/5000][110/535][127785] Loss_D: -0.021206 Loss_G: -0.000912 Loss_D_real: -0.021505 Loss_D_fake -0.000298
[1239/5000][115/535][127786] Loss_D: -0.018970 Loss_G: -0.009807 Loss_D_real: 0.008370 Loss_D_fake 0.027340
[1239/5000][120/535][127787] Loss_D: -0.019739 Loss_G: 0.014429 Loss_D_real: -0.029907 Loss_D_fake -0.010168
[1239/5000][125/535][127788] Loss_D: -0.019306 Loss_G: 0.003654 Loss_D_real: -0.019219 Loss_D_fake 0.000086
[1239/5000][130/535][127789] Loss_D: -0.019638 Loss_G: 0.017115 Loss_D_real: -0.033479 Loss_D_fake -0.013841
[1239/5000][135/535][127790] Loss_D: -0.020060 Loss_G: -0.001247 Loss_D_real: -0.004575 Loss_D_fake 0.015485
[1239/5000][140/535][127791] Loss_D: -0.020328 Loss_G: 0.033049 Loss_D_real: -0.021311 Loss_D_fake -0.000983
[1239/5000][145/535][127792] Loss_D: -0.019388 Loss_G: 0.007203 Loss_D_real: -0.016819 Loss_D_fake 0.002570
[1239/5000][150/535][127793] Loss_D: -0.018825 Loss_G: 0.013836 Loss_D_real: -0.018740 Loss_D_fake 0.000085
[1239/5000][155/535][127794] Loss_D: -0.019159 Loss_G: 0.006706 Loss_D_real: -0.024435 Loss_D_fake -0.005277
[1239/5000][160/535][127795] Loss_D: -0.019395 Loss_G: -0.018557 Loss_D_real: -0.002929 Loss_D_fake 0.016465
[1239/5000][165/535][127796] Loss_D: -0.020167 Loss_G: 0.002955 Loss_D_real: -0.006236 Loss_D_fake 0.013931
[1239/5000][170/535][127797] Loss_D: -0.020131 Loss_G: 0.009278 Loss_D_real: -0.028514 Loss_D_fake -0.008383
[1239/5000][175/535][127798] Loss_D: -0.017611 Loss_G: 0.027070 Loss_D_real: -0.028523 Loss_D_fake -0.010912
[1239/5000][180/535][127799] Loss_D: -0.020773 Loss_G: 0.003949 Loss_D_real: -0.015691 Loss_D_fake 0.005082
[1239/5000][185/535][127800] Loss_D: -0.021690 Loss_G: -0.002897 Loss_D_real: -0.008290 Loss_D_fake 0.013401
[1239/5000][190/535][127801] Loss_D: -0.019547 Loss_G: -0.002502 Loss_D_real: 0.000607 Loss_D_fake 0.020154
[1239/5000][195/535][127802] Loss_D: -0.022494 Loss_G: 0.002833 Loss_D_real: -0.013880 Loss_D_fake 0.008614
[1239/5000][200/535][127803] Loss_D: -0.019491 Loss_G: 0.023417 Loss_D_real: -0.019708 Loss_D_fake -0.000217
[1239/5000][205/535][127804] Loss_D: -0.019728 Loss_G: 0.004591 Loss_D_real: -0.012678 Loss_D_fake 0.007049
[1239/5000][210/535][127805] Loss_D: -0.019127 Loss_G: -0.005156 Loss_D_real: -0.010795 Loss_D_fake 0.008332
[1239/5000][215/535][127806] Loss_D: -0.020613 Loss_G: -0.008651 Loss_D_real: -0.013416 Loss_D_fake 0.007197
[1239/5000][220/535][127807] Loss_D: -0.020422 Loss_G: 0.008565 Loss_D_real: -0.010254 Loss_D_fake 0.010168
[1239/5000][225/535][127808] Loss_D: -0.020073 Loss_G: 0.002519 Loss_D_real: -0.005435 Loss_D_fake 0.014638
[1239/5000][230/535][127809] Loss_D: -0.020762 Loss_G: 0.005810 Loss_D_real: -0.008796 Loss_D_fake 0.011965
[1239/5000][235/535][127810] Loss_D: -0.020356 Loss_G: 0.023126 Loss_D_real: -0.027766 Loss_D_fake -0.007410
[1239/5000][240/535][127811] Loss_D: -0.020277 Loss_G: 0.026351 Loss_D_real: -0.018823 Loss_D_fake 0.001454
[1239/5000][245/535][127812] Loss_D: -0.019117 Loss_G: 0.003477 Loss_D_real: -0.008966 Loss_D_fake 0.010150
[1239/5000][250/535][127813] Loss_D: -0.019220 Loss_G: -0.009049 Loss_D_real: -0.003076 Loss_D_fake 0.016144
[1239/5000][255/535][127814] Loss_D: -0.018613 Loss_G: 0.013703 Loss_D_real: -0.027554 Loss_D_fake -0.008941
[1239/5000][260/535][127815] Loss_D: -0.018440 Loss_G: -0.012711 Loss_D_real: 0.004591 Loss_D_fake 0.023031
[1239/5000][265/535][127816] Loss_D: -0.019522 Loss_G: -0.002338 Loss_D_real: -0.015897 Loss_D_fake 0.003625
[1239/5000][270/535][127817] Loss_D: -0.019407 Loss_G: 0.008358 Loss_D_real: -0.008454 Loss_D_fake 0.010953
[1239/5000][275/535][127818] Loss_D: -0.020819 Loss_G: 0.005894 Loss_D_real: -0.015780 Loss_D_fake 0.005040
[1239/5000][280/535][127819] Loss_D: -0.018850 Loss_G: -0.019854 Loss_D_real: 0.001426 Loss_D_fake 0.020276
[1239/5000][285/535][127820] Loss_D: -0.019454 Loss_G: 0.022009 Loss_D_real: -0.026734 Loss_D_fake -0.007279
[1239/5000][290/535][127821] Loss_D: -0.019352 Loss_G: 0.013354 Loss_D_real: -0.020725 Loss_D_fake -0.001373
[1239/5000][295/535][127822] Loss_D: -0.020100 Loss_G: 0.021654 Loss_D_real: -0.025328 Loss_D_fake -0.005228
[1239/5000][300/535][127823] Loss_D: -0.020077 Loss_G: 0.015433 Loss_D_real: -0.019374 Loss_D_fake 0.000703
[1239/5000][305/535][127824] Loss_D: -0.021292 Loss_G: -0.013556 Loss_D_real: -0.006154 Loss_D_fake 0.015138
[1239/5000][310/535][127825] Loss_D: -0.019218 Loss_G: 0.010011 Loss_D_real: -0.024025 Loss_D_fake -0.004807
[1239/5000][315/535][127826] Loss_D: -0.020195 Loss_G: 0.003128 Loss_D_real: -0.016817 Loss_D_fake 0.003379
[1239/5000][320/535][127827] Loss_D: -0.019152 Loss_G: 0.018869 Loss_D_real: -0.026054 Loss_D_fake -0.006903
[1239/5000][325/535][127828] Loss_D: -0.020051 Loss_G: 0.006881 Loss_D_real: -0.012142 Loss_D_fake 0.007909
[1239/5000][330/535][127829] Loss_D: -0.018736 Loss_G: 0.029686 Loss_D_real: -0.032830 Loss_D_fake -0.014094
[1239/5000][335/535][127830] Loss_D: -0.019672 Loss_G: 0.017024 Loss_D_real: -0.027808 Loss_D_fake -0.008136
[1239/5000][340/535][127831] Loss_D: -0.019330 Loss_G: 0.016333 Loss_D_real: -0.021943 Loss_D_fake -0.002613
[1239/5000][345/535][127832] Loss_D: -0.020874 Loss_G: -0.000844 Loss_D_real: -0.005154 Loss_D_fake 0.015720
[1239/5000][350/535][127833] Loss_D: -0.019674 Loss_G: 0.015897 Loss_D_real: -0.013703 Loss_D_fake 0.005972
[1239/5000][355/535][127834] Loss_D: -0.019763 Loss_G: -0.007712 Loss_D_real: -0.014747 Loss_D_fake 0.005016
[1239/5000][360/535][127835] Loss_D: -0.018903 Loss_G: -0.012888 Loss_D_real: 0.000832 Loss_D_fake 0.019735
[1239/5000][365/535][127836] Loss_D: -0.019091 Loss_G: 0.017308 Loss_D_real: -0.022988 Loss_D_fake -0.003897
[1239/5000][370/535][127837] Loss_D: -0.019063 Loss_G: 0.018402 Loss_D_real: -0.020402 Loss_D_fake -0.001339
[1239/5000][375/535][127838] Loss_D: -0.021255 Loss_G: 0.001914 Loss_D_real: 0.000006 Loss_D_fake 0.021261
[1239/5000][380/535][127839] Loss_D: -0.019722 Loss_G: 0.027543 Loss_D_real: -0.030196 Loss_D_fake -0.010475
[1239/5000][385/535][127840] Loss_D: -0.020280 Loss_G: 0.019956 Loss_D_real: -0.027414 Loss_D_fake -0.007134
[1239/5000][390/535][127841] Loss_D: -0.019290 Loss_G: -0.010918 Loss_D_real: -0.008734 Loss_D_fake 0.010556
[1239/5000][395/535][127842] Loss_D: -0.021372 Loss_G: 0.016664 Loss_D_real: -0.028526 Loss_D_fake -0.007154
[1239/5000][400/535][127843] Loss_D: -0.020380 Loss_G: 0.013424 Loss_D_real: -0.025576 Loss_D_fake -0.005195
[1239/5000][405/535][127844] Loss_D: -0.020485 Loss_G: 0.015568 Loss_D_real: -0.028227 Loss_D_fake -0.007742
[1239/5000][410/535][127845] Loss_D: -0.021283 Loss_G: -0.007144 Loss_D_real: -0.000989 Loss_D_fake 0.020294
[1239/5000][415/535][127846] Loss_D: -0.019217 Loss_G: 0.020006 Loss_D_real: -0.029650 Loss_D_fake -0.010433
[1239/5000][420/535][127847] Loss_D: -0.019798 Loss_G: 0.012285 Loss_D_real: -0.015234 Loss_D_fake 0.004564
[1239/5000][425/535][127848] Loss_D: -0.021631 Loss_G: 0.004365 Loss_D_real: -0.012916 Loss_D_fake 0.008715
[1239/5000][430/535][127849] Loss_D: -0.019761 Loss_G: 0.028247 Loss_D_real: -0.030051 Loss_D_fake -0.010290
[1239/5000][435/535][127850] Loss_D: -0.019703 Loss_G: 0.011677 Loss_D_real: -0.010139 Loss_D_fake 0.009563
[1239/5000][440/535][127851] Loss_D: -0.019776 Loss_G: -0.014957 Loss_D_real: -0.004042 Loss_D_fake 0.015734
[1239/5000][445/535][127852] Loss_D: -0.020212 Loss_G: -0.000831 Loss_D_real: -0.019419 Loss_D_fake 0.000793
[1239/5000][450/535][127853] Loss_D: -0.020973 Loss_G: 0.002415 Loss_D_real: -0.009439 Loss_D_fake 0.011534
[1239/5000][455/535][127854] Loss_D: -0.020381 Loss_G: 0.014400 Loss_D_real: -0.008088 Loss_D_fake 0.012293
[1239/5000][460/535][127855] Loss_D: -0.021598 Loss_G: 0.008886 Loss_D_real: -0.018021 Loss_D_fake 0.003577
[1239/5000][465/535][127856] Loss_D: -0.020618 Loss_G: 0.018736 Loss_D_real: -0.022355 Loss_D_fake -0.001737
[1239/5000][470/535][127857] Loss_D: -0.020620 Loss_G: 0.013801 Loss_D_real: -0.020866 Loss_D_fake -0.000246
[1239/5000][475/535][127858] Loss_D: -0.020078 Loss_G: 0.011707 Loss_D_real: -0.025042 Loss_D_fake -0.004964
[1239/5000][480/535][127859] Loss_D: -0.021320 Loss_G: 0.004351 Loss_D_real: -0.020574 Loss_D_fake 0.000746
[1239/5000][485/535][127860] Loss_D: -0.020302 Loss_G: 0.001251 Loss_D_real: -0.021921 Loss_D_fake -0.001619
[1239/5000][490/535][127861] Loss_D: -0.020862 Loss_G: 0.013569 Loss_D_real: -0.029456 Loss_D_fake -0.008594
[1239/5000][495/535][127862] Loss_D: -0.020995 Loss_G: 0.005924 Loss_D_real: -0.012786 Loss_D_fake 0.008208
[1239/5000][500/535][127863] Loss_D: -0.018280 Loss_G: -0.014545 Loss_D_real: -0.005705 Loss_D_fake 0.012574
[1239/5000][505/535][127864] Loss_D: -0.020037 Loss_G: 0.006934 Loss_D_real: -0.020416 Loss_D_fake -0.000379
[1239/5000][510/535][127865] Loss_D: -0.019688 Loss_G: 0.006231 Loss_D_real: -0.024039 Loss_D_fake -0.004350
[1239/5000][515/535][127866] Loss_D: -0.020193 Loss_G: 0.018498 Loss_D_real: -0.031732 Loss_D_fake -0.011538
[1239/5000][520/535][127867] Loss_D: -0.021184 Loss_G: 0.002456 Loss_D_real: -0.016676 Loss_D_fake 0.004508
[1239/5000][525/535][127868] Loss_D: -0.020182 Loss_G: 0.011385 Loss_D_real: -0.019655 Loss_D_fake 0.000526
[1239/5000][530/535][127869] Loss_D: -0.020507 Loss_G: 0.005823 Loss_D_real: -0.015295 Loss_D_fake 0.005212
[1239/5000][535/535][127870] Loss_D: -0.020269 Loss_G: 0.022967 Loss_D_real: -0.017842 Loss_D_fake 0.002428
[1240/5000][5/535][127871] Loss_D: -0.021665 Loss_G: -0.011446 Loss_D_real: -0.006252 Loss_D_fake 0.015412
[1240/5000][10/535][127872] Loss_D: -0.020750 Loss_G: 0.012626 Loss_D_real: -0.021997 Loss_D_fake -0.001247
[1240/5000][15/535][127873] Loss_D: -0.021356 Loss_G: -0.006542 Loss_D_real: -0.027802 Loss_D_fake -0.006446
[1240/5000][20/535][127874] Loss_D: -0.021200 Loss_G: 0.007834 Loss_D_real: -0.003023 Loss_D_fake 0.018177
[1240/5000][25/535][127875] Loss_D: -0.020669 Loss_G: 0.000068 Loss_D_real: -0.013990 Loss_D_fake 0.006678
[1240/5000][30/535][127876] Loss_D: -0.020734 Loss_G: 0.007917 Loss_D_real: -0.013870 Loss_D_fake 0.006864
[1240/5000][35/535][127877] Loss_D: -0.019430 Loss_G: -0.009273 Loss_D_real: -0.004624 Loss_D_fake 0.014806
[1240/5000][40/535][127878] Loss_D: -0.019839 Loss_G: -0.001388 Loss_D_real: -0.013047 Loss_D_fake 0.006793
[1240/5000][45/535][127879] Loss_D: -0.020551 Loss_G: -0.002820 Loss_D_real: -0.000228 Loss_D_fake 0.020322
[1240/5000][50/535][127880] Loss_D: -0.019441 Loss_G: 0.022430 Loss_D_real: -0.018770 Loss_D_fake 0.000671
[1240/5000][55/535][127881] Loss_D: -0.020137 Loss_G: 0.015680 Loss_D_real: -0.012185 Loss_D_fake 0.007952
[1240/5000][60/535][127882] Loss_D: -0.021884 Loss_G: 0.010688 Loss_D_real: -0.035148 Loss_D_fake -0.013264
[1240/5000][65/535][127883] Loss_D: -0.020447 Loss_G: 0.010799 Loss_D_real: -0.035192 Loss_D_fake -0.014745
[1240/5000][70/535][127884] Loss_D: -0.021224 Loss_G: 0.015638 Loss_D_real: -0.022745 Loss_D_fake -0.001520
[1240/5000][75/535][127885] Loss_D: -0.020037 Loss_G: -0.008722 Loss_D_real: -0.005628 Loss_D_fake 0.014409
[1240/5000][80/535][127886] Loss_D: -0.019298 Loss_G: -0.011492 Loss_D_real: -0.014710 Loss_D_fake 0.004588
[1240/5000][85/535][127887] Loss_D: -0.020605 Loss_G: 0.007017 Loss_D_real: -0.006859 Loss_D_fake 0.013746
[1240/5000][90/535][127888] Loss_D: -0.020476 Loss_G: 0.013143 Loss_D_real: -0.015114 Loss_D_fake 0.005363
[1240/5000][95/535][127889] Loss_D: -0.020465 Loss_G: 0.009472 Loss_D_real: -0.016729 Loss_D_fake 0.003736
[1240/5000][100/535][127890] Loss_D: -0.018843 Loss_G: -0.001996 Loss_D_real: -0.016470 Loss_D_fake 0.002373
[1240/5000][105/535][127891] Loss_D: -0.020385 Loss_G: 0.000601 Loss_D_real: -0.011867 Loss_D_fake 0.008518
[1240/5000][110/535][127892] Loss_D: -0.021407 Loss_G: 0.028194 Loss_D_real: -0.015178 Loss_D_fake 0.006228
[1240/5000][115/535][127893] Loss_D: -0.020967 Loss_G: 0.012474 Loss_D_real: -0.028653 Loss_D_fake -0.007686
[1240/5000][120/535][127894] Loss_D: -0.020184 Loss_G: -0.001155 Loss_D_real: -0.000868 Loss_D_fake 0.019316
[1240/5000][125/535][127895] Loss_D: -0.020008 Loss_G: 0.006573 Loss_D_real: -0.017701 Loss_D_fake 0.002307
[1240/5000][130/535][127896] Loss_D: -0.019797 Loss_G: 0.004202 Loss_D_real: -0.034431 Loss_D_fake -0.014635
[1240/5000][135/535][127897] Loss_D: -0.020391 Loss_G: -0.006098 Loss_D_real: -0.008577 Loss_D_fake 0.011813
[1240/5000][140/535][127898] Loss_D: -0.019619 Loss_G: 0.029770 Loss_D_real: -0.027437 Loss_D_fake -0.007818
[1240/5000][145/535][127899] Loss_D: -0.018704 Loss_G: 0.014739 Loss_D_real: -0.033015 Loss_D_fake -0.014312
[1240/5000][150/535][127900] Loss_D: -0.019457 Loss_G: 0.004750 Loss_D_real: -0.020148 Loss_D_fake -0.000691
[1240/5000][155/535][127901] Loss_D: -0.018954 Loss_G: -0.002087 Loss_D_real: -0.010369 Loss_D_fake 0.008585
[1240/5000][160/535][127902] Loss_D: -0.019886 Loss_G: -0.006970 Loss_D_real: -0.009889 Loss_D_fake 0.009997
[1240/5000][165/535][127903] Loss_D: -0.018522 Loss_G: 0.021908 Loss_D_real: -0.038976 Loss_D_fake -0.020454
[1240/5000][170/535][127904] Loss_D: -0.020494 Loss_G: 0.003587 Loss_D_real: -0.006120 Loss_D_fake 0.014374
[1240/5000][175/535][127905] Loss_D: -0.020617 Loss_G: 0.016818 Loss_D_real: -0.029432 Loss_D_fake -0.008815
[1240/5000][180/535][127906] Loss_D: -0.021168 Loss_G: 0.013421 Loss_D_real: -0.033123 Loss_D_fake -0.011955
[1240/5000][185/535][127907] Loss_D: -0.019297 Loss_G: -0.017718 Loss_D_real: -0.006287 Loss_D_fake 0.013010
[1240/5000][190/535][127908] Loss_D: -0.018654 Loss_G: 0.025164 Loss_D_real: -0.030421 Loss_D_fake -0.011767
[1240/5000][195/535][127909] Loss_D: -0.021344 Loss_G: -0.001394 Loss_D_real: -0.013100 Loss_D_fake 0.008243
[1240/5000][200/535][127910] Loss_D: -0.020435 Loss_G: -0.020293 Loss_D_real: -0.008866 Loss_D_fake 0.011569
[1240/5000][205/535][127911] Loss_D: -0.020328 Loss_G: 0.005789 Loss_D_real: -0.017800 Loss_D_fake 0.002528
[1240/5000][210/535][127912] Loss_D: -0.020915 Loss_G: 0.014605 Loss_D_real: -0.015870 Loss_D_fake 0.005045
[1240/5000][215/535][127913] Loss_D: -0.020714 Loss_G: -0.000014 Loss_D_real: -0.004676 Loss_D_fake 0.016038
[1240/5000][220/535][127914] Loss_D: -0.018504 Loss_G: 0.007791 Loss_D_real: -0.007059 Loss_D_fake 0.011444
[1240/5000][225/535][127915] Loss_D: -0.019969 Loss_G: 0.007445 Loss_D_real: -0.007038 Loss_D_fake 0.012931
[1240/5000][230/535][127916] Loss_D: -0.020959 Loss_G: -0.009037 Loss_D_real: -0.014332 Loss_D_fake 0.006627
[1240/5000][235/535][127917] Loss_D: -0.020426 Loss_G: 0.019477 Loss_D_real: -0.021252 Loss_D_fake -0.000826
[1240/5000][240/535][127918] Loss_D: -0.021067 Loss_G: 0.005850 Loss_D_real: -0.006979 Loss_D_fake 0.014088
[1240/5000][245/535][127919] Loss_D: -0.021138 Loss_G: 0.011355 Loss_D_real: -0.030892 Loss_D_fake -0.009754
[1240/5000][250/535][127920] Loss_D: -0.021497 Loss_G: 0.006688 Loss_D_real: -0.022752 Loss_D_fake -0.001256
[1240/5000][255/535][127921] Loss_D: -0.021198 Loss_G: 0.010827 Loss_D_real: -0.021870 Loss_D_fake -0.000672
[1240/5000][260/535][127922] Loss_D: -0.019122 Loss_G: 0.009835 Loss_D_real: -0.028399 Loss_D_fake -0.009276
[1240/5000][265/535][127923] Loss_D: -0.020320 Loss_G: -0.004345 Loss_D_real: -0.008842 Loss_D_fake 0.011478
[1240/5000][270/535][127924] Loss_D: -0.020182 Loss_G: 0.022375 Loss_D_real: -0.029538 Loss_D_fake -0.009356
[1240/5000][275/535][127925] Loss_D: -0.020075 Loss_G: -0.010110 Loss_D_real: -0.009589 Loss_D_fake 0.010486
[1240/5000][280/535][127926] Loss_D: -0.019918 Loss_G: 0.008225 Loss_D_real: -0.020501 Loss_D_fake -0.000583
[1240/5000][285/535][127927] Loss_D: -0.020221 Loss_G: 0.012782 Loss_D_real: -0.021047 Loss_D_fake -0.000826
[1240/5000][290/535][127928] Loss_D: -0.019159 Loss_G: -0.002687 Loss_D_real: -0.002734 Loss_D_fake 0.016424
[1240/5000][295/535][127929] Loss_D: -0.020650 Loss_G: -0.002640 Loss_D_real: -0.005122 Loss_D_fake 0.015528
[1240/5000][300/535][127930] Loss_D: -0.020355 Loss_G: 0.014997 Loss_D_real: -0.017602 Loss_D_fake 0.002753
[1240/5000][305/535][127931] Loss_D: -0.019988 Loss_G: -0.011505 Loss_D_real: -0.001871 Loss_D_fake 0.018117
[1240/5000][310/535][127932] Loss_D: -0.019813 Loss_G: 0.007955 Loss_D_real: -0.017099 Loss_D_fake 0.002714
[1240/5000][315/535][127933] Loss_D: -0.019239 Loss_G: -0.001189 Loss_D_real: -0.031466 Loss_D_fake -0.012226
[1240/5000][320/535][127934] Loss_D: -0.021338 Loss_G: 0.021046 Loss_D_real: -0.013601 Loss_D_fake 0.007737
[1240/5000][325/535][127935] Loss_D: -0.020795 Loss_G: 0.006627 Loss_D_real: -0.031722 Loss_D_fake -0.010927
[1240/5000][330/535][127936] Loss_D: -0.019842 Loss_G: 0.011565 Loss_D_real: -0.018722 Loss_D_fake 0.001121
[1240/5000][335/535][127937] Loss_D: -0.021526 Loss_G: 0.012442 Loss_D_real: -0.023136 Loss_D_fake -0.001610
[1240/5000][340/535][127938] Loss_D: -0.020244 Loss_G: -0.009502 Loss_D_real: -0.003783 Loss_D_fake 0.016461
[1240/5000][345/535][127939] Loss_D: -0.019892 Loss_G: 0.024965 Loss_D_real: -0.027241 Loss_D_fake -0.007348
[1240/5000][350/535][127940] Loss_D: -0.021201 Loss_G: -0.001375 Loss_D_real: -0.011952 Loss_D_fake 0.009249
[1240/5000][355/535][127941] Loss_D: -0.020876 Loss_G: -0.013372 Loss_D_real: -0.001696 Loss_D_fake 0.019180
[1240/5000][360/535][127942] Loss_D: -0.020299 Loss_G: 0.002774 Loss_D_real: -0.008888 Loss_D_fake 0.011411
[1240/5000][365/535][127943] Loss_D: -0.019462 Loss_G: 0.025537 Loss_D_real: -0.021725 Loss_D_fake -0.002263
[1240/5000][370/535][127944] Loss_D: -0.020878 Loss_G: -0.000022 Loss_D_real: -0.024188 Loss_D_fake -0.003310
[1240/5000][375/535][127945] Loss_D: -0.019819 Loss_G: 0.012160 Loss_D_real: -0.013746 Loss_D_fake 0.006073
[1240/5000][380/535][127946] Loss_D: -0.018040 Loss_G: 0.014429 Loss_D_real: -0.032261 Loss_D_fake -0.014221
[1240/5000][385/535][127947] Loss_D: -0.020951 Loss_G: 0.013180 Loss_D_real: -0.019464 Loss_D_fake 0.001486
[1240/5000][390/535][127948] Loss_D: -0.021070 Loss_G: -0.000495 Loss_D_real: -0.003575 Loss_D_fake 0.017495
[1240/5000][395/535][127949] Loss_D: -0.020194 Loss_G: 0.007953 Loss_D_real: -0.016183 Loss_D_fake 0.004011
[1240/5000][400/535][127950] Loss_D: -0.020761 Loss_G: 0.001784 Loss_D_real: -0.020221 Loss_D_fake 0.000540
[1240/5000][405/535][127951] Loss_D: -0.020478 Loss_G: 0.002187 Loss_D_real: -0.023565 Loss_D_fake -0.003087
[1240/5000][410/535][127952] Loss_D: -0.020373 Loss_G: 0.013629 Loss_D_real: -0.017402 Loss_D_fake 0.002971
[1240/5000][415/535][127953] Loss_D: -0.019626 Loss_G: -0.015055 Loss_D_real: 0.001343 Loss_D_fake 0.020970
[1240/5000][420/535][127954] Loss_D: -0.021846 Loss_G: 0.005832 Loss_D_real: -0.031287 Loss_D_fake -0.009442
[1240/5000][425/535][127955] Loss_D: -0.021218 Loss_G: 0.015107 Loss_D_real: -0.009575 Loss_D_fake 0.011643
[1240/5000][430/535][127956] Loss_D: -0.021101 Loss_G: 0.014469 Loss_D_real: -0.009987 Loss_D_fake 0.011114
[1240/5000][435/535][127957] Loss_D: -0.020204 Loss_G: 0.004201 Loss_D_real: -0.017847 Loss_D_fake 0.002356
[1240/5000][440/535][127958] Loss_D: -0.019931 Loss_G: 0.020959 Loss_D_real: -0.034065 Loss_D_fake -0.014134
[1240/5000][445/535][127959] Loss_D: -0.019099 Loss_G: 0.005221 Loss_D_real: -0.021144 Loss_D_fake -0.002045
[1240/5000][450/535][127960] Loss_D: -0.019378 Loss_G: 0.014532 Loss_D_real: -0.026506 Loss_D_fake -0.007129
[1240/5000][455/535][127961] Loss_D: -0.016676 Loss_G: 0.021087 Loss_D_real: -0.032218 Loss_D_fake -0.015543
[1240/5000][460/535][127962] Loss_D: -0.019540 Loss_G: 0.013069 Loss_D_real: -0.018024 Loss_D_fake 0.001516
[1240/5000][465/535][127963] Loss_D: -0.018961 Loss_G: 0.008357 Loss_D_real: -0.009501 Loss_D_fake 0.009460
[1240/5000][470/535][127964] Loss_D: -0.021289 Loss_G: 0.002572 Loss_D_real: -0.015426 Loss_D_fake 0.005863
[1240/5000][475/535][127965] Loss_D: -0.020866 Loss_G: 0.004243 Loss_D_real: -0.013853 Loss_D_fake 0.007013
[1240/5000][480/535][127966] Loss_D: -0.020725 Loss_G: 0.004738 Loss_D_real: -0.012317 Loss_D_fake 0.008408
[1240/5000][485/535][127967] Loss_D: -0.020115 Loss_G: 0.003242 Loss_D_real: -0.017554 Loss_D_fake 0.002561
[1240/5000][490/535][127968] Loss_D: -0.019637 Loss_G: -0.007502 Loss_D_real: -0.007417 Loss_D_fake 0.012220
[1240/5000][495/535][127969] Loss_D: -0.020661 Loss_G: 0.023847 Loss_D_real: -0.026075 Loss_D_fake -0.005414
[1240/5000][500/535][127970] Loss_D: -0.020539 Loss_G: 0.004265 Loss_D_real: -0.016020 Loss_D_fake 0.004519
[1240/5000][505/535][127971] Loss_D: -0.020386 Loss_G: 0.001179 Loss_D_real: -0.012597 Loss_D_fake 0.007789
[1240/5000][510/535][127972] Loss_D: -0.019959 Loss_G: 0.009017 Loss_D_real: -0.013257 Loss_D_fake 0.006702
[1240/5000][515/535][127973] Loss_D: -0.018589 Loss_G: 0.022497 Loss_D_real: -0.022858 Loss_D_fake -0.004270
[1240/5000][520/535][127974] Loss_D: -0.019766 Loss_G: 0.007195 Loss_D_real: -0.020005 Loss_D_fake -0.000240
[1240/5000][525/535][127975] Loss_D: -0.020720 Loss_G: -0.009981 Loss_D_real: -0.007419 Loss_D_fake 0.013300
[1240/5000][530/535][127976] Loss_D: -0.019634 Loss_G: -0.010772 Loss_D_real: -0.010042 Loss_D_fake 0.009592
[1240/5000][535/535][127977] Loss_D: -0.020673 Loss_G: 0.009428 Loss_D_real: -0.021532 Loss_D_fake -0.000859
[1241/5000][5/535][127978] Loss_D: -0.020855 Loss_G: -0.013215 Loss_D_real: 0.003686 Loss_D_fake 0.024541
[1241/5000][10/535][127979] Loss_D: -0.020266 Loss_G: 0.032486 Loss_D_real: -0.023452 Loss_D_fake -0.003185
[1241/5000][15/535][127980] Loss_D: -0.019239 Loss_G: 0.012074 Loss_D_real: -0.030000 Loss_D_fake -0.010762
[1241/5000][20/535][127981] Loss_D: -0.018689 Loss_G: 0.026543 Loss_D_real: -0.020406 Loss_D_fake -0.001717
[1241/5000][25/535][127982] Loss_D: -0.019931 Loss_G: 0.026838 Loss_D_real: -0.035033 Loss_D_fake -0.015102
[1241/5000][30/535][127983] Loss_D: -0.018957 Loss_G: -0.017290 Loss_D_real: -0.003387 Loss_D_fake 0.015570
[1241/5000][35/535][127984] Loss_D: -0.020646 Loss_G: 0.002242 Loss_D_real: -0.020548 Loss_D_fake 0.000097
[1241/5000][40/535][127985] Loss_D: -0.020355 Loss_G: 0.013749 Loss_D_real: -0.035178 Loss_D_fake -0.014823
[1241/5000][45/535][127986] Loss_D: -0.021308 Loss_G: 0.005548 Loss_D_real: -0.020427 Loss_D_fake 0.000880
[1241/5000][50/535][127987] Loss_D: -0.019970 Loss_G: 0.001999 Loss_D_real: -0.003376 Loss_D_fake 0.016594
[1241/5000][55/535][127988] Loss_D: -0.018429 Loss_G: -0.020536 Loss_D_real: 0.001261 Loss_D_fake 0.019690
[1241/5000][60/535][127989] Loss_D: -0.020516 Loss_G: 0.016033 Loss_D_real: -0.014550 Loss_D_fake 0.005967
[1241/5000][65/535][127990] Loss_D: -0.021612 Loss_G: 0.012406 Loss_D_real: -0.021305 Loss_D_fake 0.000307
[1241/5000][70/535][127991] Loss_D: -0.020283 Loss_G: 0.001322 Loss_D_real: -0.019011 Loss_D_fake 0.001272
[1241/5000][75/535][127992] Loss_D: -0.020834 Loss_G: 0.013489 Loss_D_real: -0.032036 Loss_D_fake -0.011203
[1241/5000][80/535][127993] Loss_D: -0.020469 Loss_G: 0.014752 Loss_D_real: -0.016883 Loss_D_fake 0.003586
[1241/5000][85/535][127994] Loss_D: -0.018493 Loss_G: 0.028191 Loss_D_real: -0.022747 Loss_D_fake -0.004254
[1241/5000][90/535][127995] Loss_D: -0.020083 Loss_G: 0.027013 Loss_D_real: -0.033060 Loss_D_fake -0.012977
[1241/5000][95/535][127996] Loss_D: -0.019955 Loss_G: 0.012927 Loss_D_real: -0.012916 Loss_D_fake 0.007039
[1241/5000][100/535][127997] Loss_D: -0.019727 Loss_G: 0.021806 Loss_D_real: -0.025059 Loss_D_fake -0.005332
[1241/5000][105/535][127998] Loss_D: -0.020404 Loss_G: 0.014137 Loss_D_real: -0.031511 Loss_D_fake -0.011107
[1241/5000][110/535][127999] Loss_D: -0.020890 Loss_G: 0.002725 Loss_D_real: -0.009898 Loss_D_fake 0.010992
[1241/5000][115/535][128000] Loss_D: -0.020072 Loss_G: 0.003222 Loss_D_real: -0.004589 Loss_D_fake 0.015483
[1241/5000][215/535][128001] Loss_D: -0.025077 Loss_G: 0.022668 Loss_D_real: -0.034256 Loss_D_fake -0.009178
[1241/5000][220/535][128002] Loss_D: -0.017790 Loss_G: 0.011324 Loss_D_real: -0.014021 Loss_D_fake 0.003769
[1241/5000][225/535][128003] Loss_D: -0.018404 Loss_G: -0.010117 Loss_D_real: -0.008866 Loss_D_fake 0.009538
[1241/5000][230/535][128004] Loss_D: -0.019605 Loss_G: 0.006513 Loss_D_real: -0.017961 Loss_D_fake 0.001644
[1241/5000][235/535][128005] Loss_D: -0.017159 Loss_G: -0.004229 Loss_D_real: -0.007080 Loss_D_fake 0.010079
[1241/5000][240/535][128006] Loss_D: -0.018197 Loss_G: 0.013149 Loss_D_real: -0.021529 Loss_D_fake -0.003332
[1241/5000][245/535][128007] Loss_D: -0.018413 Loss_G: -0.005434 Loss_D_real: -0.012589 Loss_D_fake 0.005825
[1241/5000][250/535][128008] Loss_D: -0.017759 Loss_G: 0.011815 Loss_D_real: -0.021266 Loss_D_fake -0.003507
[1241/5000][255/535][128009] Loss_D: -0.018928 Loss_G: -0.005866 Loss_D_real: -0.005594 Loss_D_fake 0.013335
[1241/5000][260/535][128010] Loss_D: -0.019257 Loss_G: 0.018789 Loss_D_real: -0.008989 Loss_D_fake 0.010267
[1241/5000][265/535][128011] Loss_D: -0.020070 Loss_G: 0.021495 Loss_D_real: -0.020510 Loss_D_fake -0.000440
[1241/5000][270/535][128012] Loss_D: -0.019539 Loss_G: 0.003778 Loss_D_real: -0.016953 Loss_D_fake 0.002586
[1241/5000][275/535][128013] Loss_D: -0.019315 Loss_G: 0.004518 Loss_D_real: -0.010717 Loss_D_fake 0.008599
[1241/5000][280/535][128014] Loss_D: -0.018984 Loss_G: -0.017040 Loss_D_real: 0.001396 Loss_D_fake 0.020380
[1241/5000][285/535][128015] Loss_D: -0.018898 Loss_G: 0.007854 Loss_D_real: -0.011619 Loss_D_fake 0.007279
[1241/5000][290/535][128016] Loss_D: -0.019551 Loss_G: -0.000490 Loss_D_real: -0.017150 Loss_D_fake 0.002402
[1241/5000][295/535][128017] Loss_D: -0.019402 Loss_G: -0.008681 Loss_D_real: -0.013029 Loss_D_fake 0.006373
[1241/5000][300/535][128018] Loss_D: -0.018878 Loss_G: -0.008370 Loss_D_real: -0.003551 Loss_D_fake 0.015326
[1241/5000][305/535][128019] Loss_D: -0.018839 Loss_G: 0.017489 Loss_D_real: -0.024536 Loss_D_fake -0.005697
[1241/5000][310/535][128020] Loss_D: -0.019289 Loss_G: -0.003683 Loss_D_real: -0.009404 Loss_D_fake 0.009885
[1241/5000][315/535][128021] Loss_D: -0.019675 Loss_G: 0.014225 Loss_D_real: -0.022833 Loss_D_fake -0.003158
[1241/5000][320/535][128022] Loss_D: -0.019912 Loss_G: 0.012755 Loss_D_real: -0.018633 Loss_D_fake 0.001279
[1241/5000][325/535][128023] Loss_D: -0.020956 Loss_G: 0.002464 Loss_D_real: -0.018646 Loss_D_fake 0.002310
[1241/5000][330/535][128024] Loss_D: -0.020294 Loss_G: 0.006343 Loss_D_real: -0.010006 Loss_D_fake 0.010288
[1241/5000][335/535][128025] Loss_D: -0.019282 Loss_G: 0.022443 Loss_D_real: -0.022094 Loss_D_fake -0.002812
[1241/5000][340/535][128026] Loss_D: -0.020095 Loss_G: 0.017308 Loss_D_real: -0.019330 Loss_D_fake 0.000765
[1241/5000][345/535][128027] Loss_D: -0.020493 Loss_G: 0.001667 Loss_D_real: -0.019365 Loss_D_fake 0.001128
[1241/5000][350/535][128028] Loss_D: -0.019516 Loss_G: 0.009232 Loss_D_real: -0.021559 Loss_D_fake -0.002043
[1241/5000][355/535][128029] Loss_D: -0.019623 Loss_G: 0.011229 Loss_D_real: -0.020793 Loss_D_fake -0.001169
[1241/5000][360/535][128030] Loss_D: -0.018854 Loss_G: -0.027196 Loss_D_real: -0.003010 Loss_D_fake 0.015843
[1241/5000][365/535][128031] Loss_D: -0.019190 Loss_G: 0.016312 Loss_D_real: -0.030368 Loss_D_fake -0.011179
[1241/5000][370/535][128032] Loss_D: -0.019497 Loss_G: -0.014573 Loss_D_real: 0.000334 Loss_D_fake 0.019832
[1241/5000][375/535][128033] Loss_D: -0.018784 Loss_G: 0.017969 Loss_D_real: -0.019860 Loss_D_fake -0.001076
[1241/5000][380/535][128034] Loss_D: -0.021145 Loss_G: 0.008417 Loss_D_real: -0.028277 Loss_D_fake -0.007132
[1241/5000][385/535][128035] Loss_D: -0.020030 Loss_G: 0.021922 Loss_D_real: -0.020451 Loss_D_fake -0.000422
[1241/5000][390/535][128036] Loss_D: -0.021057 Loss_G: 0.014162 Loss_D_real: -0.021437 Loss_D_fake -0.000380
[1241/5000][395/535][128037] Loss_D: -0.020273 Loss_G: 0.006493 Loss_D_real: -0.010434 Loss_D_fake 0.009839
[1241/5000][400/535][128038] Loss_D: -0.019793 Loss_G: 0.014169 Loss_D_real: -0.018626 Loss_D_fake 0.001167
[1241/5000][405/535][128039] Loss_D: -0.022348 Loss_G: 0.006803 Loss_D_real: -0.019745 Loss_D_fake 0.002603
[1241/5000][410/535][128040] Loss_D: -0.020922 Loss_G: 0.016089 Loss_D_real: -0.013446 Loss_D_fake 0.007475
[1241/5000][415/535][128041] Loss_D: -0.020391 Loss_G: 0.023828 Loss_D_real: -0.033310 Loss_D_fake -0.012918
[1241/5000][420/535][128042] Loss_D: -0.021018 Loss_G: 0.008105 Loss_D_real: -0.037863 Loss_D_fake -0.016845
[1241/5000][425/535][128043] Loss_D: -0.019161 Loss_G: 0.003091 Loss_D_real: -0.000462 Loss_D_fake 0.018699
[1241/5000][430/535][128044] Loss_D: -0.019098 Loss_G: 0.017711 Loss_D_real: -0.029252 Loss_D_fake -0.010154
[1241/5000][435/535][128045] Loss_D: -0.020107 Loss_G: 0.014089 Loss_D_real: -0.008452 Loss_D_fake 0.011655
[1241/5000][440/535][128046] Loss_D: -0.020008 Loss_G: 0.011279 Loss_D_real: -0.018719 Loss_D_fake 0.001289
[1241/5000][445/535][128047] Loss_D: -0.019342 Loss_G: 0.024457 Loss_D_real: -0.034961 Loss_D_fake -0.015619
[1241/5000][450/535][128048] Loss_D: -0.020930 Loss_G: 0.016428 Loss_D_real: -0.019075 Loss_D_fake 0.001855
[1241/5000][455/535][128049] Loss_D: -0.020643 Loss_G: 0.005373 Loss_D_real: -0.023133 Loss_D_fake -0.002489
[1241/5000][460/535][128050] Loss_D: -0.020222 Loss_G: 0.013039 Loss_D_real: -0.016637 Loss_D_fake 0.003585
[1241/5000][465/535][128051] Loss_D: -0.020048 Loss_G: 0.006956 Loss_D_real: -0.012521 Loss_D_fake 0.007527
[1241/5000][470/535][128052] Loss_D: -0.021476 Loss_G: -0.004247 Loss_D_real: -0.010151 Loss_D_fake 0.011325
[1241/5000][475/535][128053] Loss_D: -0.019237 Loss_G: -0.003037 Loss_D_real: 0.002908 Loss_D_fake 0.022145
[1241/5000][480/535][128054] Loss_D: -0.020406 Loss_G: 0.015790 Loss_D_real: -0.028332 Loss_D_fake -0.007926
[1241/5000][485/535][128055] Loss_D: -0.020659 Loss_G: -0.002958 Loss_D_real: -0.010852 Loss_D_fake 0.009807
[1241/5000][490/535][128056] Loss_D: -0.019841 Loss_G: 0.005497 Loss_D_real: -0.011264 Loss_D_fake 0.008577
[1241/5000][495/535][128057] Loss_D: -0.020872 Loss_G: 0.002910 Loss_D_real: -0.000339 Loss_D_fake 0.020533
[1241/5000][500/535][128058] Loss_D: -0.019353 Loss_G: 0.027261 Loss_D_real: -0.018140 Loss_D_fake 0.001213
[1241/5000][505/535][128059] Loss_D: -0.019349 Loss_G: 0.007085 Loss_D_real: -0.016550 Loss_D_fake 0.002799
[1241/5000][510/535][128060] Loss_D: -0.019547 Loss_G: 0.024990 Loss_D_real: -0.030428 Loss_D_fake -0.010881
[1241/5000][515/535][128061] Loss_D: -0.019888 Loss_G: 0.017106 Loss_D_real: -0.035085 Loss_D_fake -0.015196
[1241/5000][520/535][128062] Loss_D: -0.020220 Loss_G: -0.005993 Loss_D_real: -0.014198 Loss_D_fake 0.006022
[1241/5000][525/535][128063] Loss_D: -0.018538 Loss_G: 0.019789 Loss_D_real: -0.016826 Loss_D_fake 0.001713
[1241/5000][530/535][128064] Loss_D: -0.019932 Loss_G: -0.019617 Loss_D_real: -0.007085 Loss_D_fake 0.012847
[1241/5000][535/535][128065] Loss_D: -0.016665 Loss_G: -0.003569 Loss_D_real: 0.009569 Loss_D_fake 0.026234
[1242/5000][5/535][128066] Loss_D: -0.019367 Loss_G: 0.003766 Loss_D_real: -0.007037 Loss_D_fake 0.012330
[1242/5000][10/535][128067] Loss_D: -0.019893 Loss_G: 0.029054 Loss_D_real: -0.028282 Loss_D_fake -0.008388
[1242/5000][15/535][128068] Loss_D: -0.018861 Loss_G: 0.005278 Loss_D_real: -0.014057 Loss_D_fake 0.004805
[1242/5000][20/535][128069] Loss_D: -0.020210 Loss_G: -0.001237 Loss_D_real: -0.005035 Loss_D_fake 0.015175
[1242/5000][25/535][128070] Loss_D: -0.020068 Loss_G: 0.019385 Loss_D_real: -0.016112 Loss_D_fake 0.003957
[1242/5000][30/535][128071] Loss_D: -0.019658 Loss_G: 0.007296 Loss_D_real: -0.023882 Loss_D_fake -0.004224
[1242/5000][35/535][128072] Loss_D: -0.020540 Loss_G: 0.013991 Loss_D_real: -0.020049 Loss_D_fake 0.000492
[1242/5000][40/535][128073] Loss_D: -0.019133 Loss_G: 0.011191 Loss_D_real: -0.025087 Loss_D_fake -0.005953
[1242/5000][45/535][128074] Loss_D: -0.019104 Loss_G: 0.011992 Loss_D_real: -0.022370 Loss_D_fake -0.003266
[1242/5000][50/535][128075] Loss_D: -0.019111 Loss_G: 0.024176 Loss_D_real: -0.026663 Loss_D_fake -0.007553
[1242/5000][55/535][128076] Loss_D: -0.019871 Loss_G: -0.007426 Loss_D_real: -0.019001 Loss_D_fake 0.000870
[1242/5000][60/535][128077] Loss_D: -0.019530 Loss_G: 0.024174 Loss_D_real: -0.028066 Loss_D_fake -0.008535
[1242/5000][65/535][128078] Loss_D: -0.020322 Loss_G: 0.006450 Loss_D_real: -0.002944 Loss_D_fake 0.017378
[1242/5000][70/535][128079] Loss_D: -0.019359 Loss_G: -0.005325 Loss_D_real: -0.011718 Loss_D_fake 0.007642
[1242/5000][75/535][128080] Loss_D: -0.019055 Loss_G: -0.007942 Loss_D_real: -0.016547 Loss_D_fake 0.002508
[1242/5000][80/535][128081] Loss_D: -0.019592 Loss_G: 0.011200 Loss_D_real: -0.020901 Loss_D_fake -0.001308
[1242/5000][85/535][128082] Loss_D: -0.019142 Loss_G: -0.007407 Loss_D_real: 0.010757 Loss_D_fake 0.029899
[1242/5000][90/535][128083] Loss_D: -0.019597 Loss_G: -0.008598 Loss_D_real: -0.013351 Loss_D_fake 0.006245
[1242/5000][95/535][128084] Loss_D: -0.020270 Loss_G: 0.024076 Loss_D_real: -0.023836 Loss_D_fake -0.003566
[1242/5000][100/535][128085] Loss_D: -0.020950 Loss_G: 0.010546 Loss_D_real: -0.008522 Loss_D_fake 0.012428
[1242/5000][105/535][128086] Loss_D: -0.019979 Loss_G: 0.023417 Loss_D_real: -0.029542 Loss_D_fake -0.009562
[1242/5000][110/535][128087] Loss_D: -0.020770 Loss_G: -0.013044 Loss_D_real: -0.006699 Loss_D_fake 0.014071
[1242/5000][115/535][128088] Loss_D: -0.019461 Loss_G: -0.004613 Loss_D_real: -0.017951 Loss_D_fake 0.001510
[1242/5000][120/535][128089] Loss_D: -0.020873 Loss_G: 0.002694 Loss_D_real: -0.016018 Loss_D_fake 0.004855
[1242/5000][125/535][128090] Loss_D: -0.019894 Loss_G: 0.023386 Loss_D_real: -0.025163 Loss_D_fake -0.005270
[1242/5000][130/535][128091] Loss_D: -0.020586 Loss_G: -0.000848 Loss_D_real: -0.027168 Loss_D_fake -0.006582
[1242/5000][135/535][128092] Loss_D: -0.020264 Loss_G: 0.018031 Loss_D_real: -0.012956 Loss_D_fake 0.007308
[1242/5000][140/535][128093] Loss_D: -0.020053 Loss_G: 0.013039 Loss_D_real: -0.019890 Loss_D_fake 0.000163
[1242/5000][145/535][128094] Loss_D: -0.019838 Loss_G: -0.003724 Loss_D_real: 0.002873 Loss_D_fake 0.022711
[1242/5000][150/535][128095] Loss_D: -0.020358 Loss_G: 0.016893 Loss_D_real: -0.017258 Loss_D_fake 0.003101
[1242/5000][155/535][128096] Loss_D: -0.020156 Loss_G: 0.004611 Loss_D_real: -0.019599 Loss_D_fake 0.000557
[1242/5000][160/535][128097] Loss_D: -0.020144 Loss_G: 0.007931 Loss_D_real: -0.029092 Loss_D_fake -0.008948
[1242/5000][165/535][128098] Loss_D: -0.019638 Loss_G: -0.000044 Loss_D_real: -0.020203 Loss_D_fake -0.000565
[1242/5000][170/535][128099] Loss_D: -0.020751 Loss_G: 0.010939 Loss_D_real: -0.021168 Loss_D_fake -0.000416
[1242/5000][175/535][128100] Loss_D: -0.020274 Loss_G: -0.005360 Loss_D_real: -0.004144 Loss_D_fake 0.016129
[1242/5000][180/535][128101] Loss_D: -0.019956 Loss_G: 0.008358 Loss_D_real: -0.022816 Loss_D_fake -0.002860
[1242/5000][185/535][128102] Loss_D: -0.020030 Loss_G: 0.005698 Loss_D_real: -0.029365 Loss_D_fake -0.009335
[1242/5000][190/535][128103] Loss_D: -0.019100 Loss_G: 0.007117 Loss_D_real: -0.013015 Loss_D_fake 0.006085
[1242/5000][195/535][128104] Loss_D: -0.019933 Loss_G: 0.006261 Loss_D_real: -0.012615 Loss_D_fake 0.007318
[1242/5000][200/535][128105] Loss_D: -0.020205 Loss_G: -0.005028 Loss_D_real: -0.012085 Loss_D_fake 0.008120
[1242/5000][205/535][128106] Loss_D: -0.020132 Loss_G: 0.005008 Loss_D_real: -0.017892 Loss_D_fake 0.002240
[1242/5000][210/535][128107] Loss_D: -0.020772 Loss_G: 0.002131 Loss_D_real: -0.014226 Loss_D_fake 0.006546
[1242/5000][215/535][128108] Loss_D: -0.020590 Loss_G: -0.004525 Loss_D_real: -0.009147 Loss_D_fake 0.011442
[1242/5000][220/535][128109] Loss_D: -0.019826 Loss_G: -0.012193 Loss_D_real: 0.001905 Loss_D_fake 0.021731
[1242/5000][225/535][128110] Loss_D: -0.018700 Loss_G: -0.011909 Loss_D_real: -0.004587 Loss_D_fake 0.014113
[1242/5000][230/535][128111] Loss_D: -0.020774 Loss_G: 0.021515 Loss_D_real: -0.018801 Loss_D_fake 0.001973
[1242/5000][235/535][128112] Loss_D: -0.020133 Loss_G: -0.006075 Loss_D_real: -0.006748 Loss_D_fake 0.013385
[1242/5000][240/535][128113] Loss_D: -0.020348 Loss_G: 0.015033 Loss_D_real: -0.021375 Loss_D_fake -0.001027
[1242/5000][245/535][128114] Loss_D: -0.019241 Loss_G: -0.003018 Loss_D_real: -0.005633 Loss_D_fake 0.013608
[1242/5000][250/535][128115] Loss_D: -0.019682 Loss_G: 0.014520 Loss_D_real: -0.025385 Loss_D_fake -0.005703
[1242/5000][255/535][128116] Loss_D: -0.020623 Loss_G: 0.013720 Loss_D_real: -0.027075 Loss_D_fake -0.006452
[1242/5000][260/535][128117] Loss_D: -0.021783 Loss_G: 0.007932 Loss_D_real: -0.021614 Loss_D_fake 0.000169
[1242/5000][265/535][128118] Loss_D: -0.020172 Loss_G: 0.006496 Loss_D_real: -0.019692 Loss_D_fake 0.000480
[1242/5000][270/535][128119] Loss_D: -0.020288 Loss_G: 0.004204 Loss_D_real: -0.023451 Loss_D_fake -0.003163
[1242/5000][275/535][128120] Loss_D: -0.020941 Loss_G: 0.011220 Loss_D_real: -0.019132 Loss_D_fake 0.001810
[1242/5000][280/535][128121] Loss_D: -0.020828 Loss_G: 0.021894 Loss_D_real: -0.016694 Loss_D_fake 0.004134
[1242/5000][285/535][128122] Loss_D: -0.021705 Loss_G: -0.003309 Loss_D_real: -0.007387 Loss_D_fake 0.014318
[1242/5000][290/535][128123] Loss_D: -0.019791 Loss_G: 0.003249 Loss_D_real: -0.019047 Loss_D_fake 0.000744
[1242/5000][295/535][128124] Loss_D: -0.019101 Loss_G: 0.004389 Loss_D_real: -0.010458 Loss_D_fake 0.008643
[1242/5000][300/535][128125] Loss_D: -0.020031 Loss_G: 0.010404 Loss_D_real: -0.021173 Loss_D_fake -0.001143
[1242/5000][305/535][128126] Loss_D: -0.019444 Loss_G: 0.001752 Loss_D_real: -0.009335 Loss_D_fake 0.010109
[1242/5000][310/535][128127] Loss_D: -0.020759 Loss_G: 0.006431 Loss_D_real: -0.014365 Loss_D_fake 0.006393
[1242/5000][315/535][128128] Loss_D: -0.020161 Loss_G: -0.000781 Loss_D_real: -0.019286 Loss_D_fake 0.000874
[1242/5000][320/535][128129] Loss_D: -0.020215 Loss_G: -0.000501 Loss_D_real: -0.017581 Loss_D_fake 0.002634
[1242/5000][325/535][128130] Loss_D: -0.019890 Loss_G: 0.013712 Loss_D_real: -0.018943 Loss_D_fake 0.000947
[1242/5000][330/535][128131] Loss_D: -0.020534 Loss_G: -0.001195 Loss_D_real: -0.011532 Loss_D_fake 0.009002
[1242/5000][335/535][128132] Loss_D: -0.018231 Loss_G: -0.011523 Loss_D_real: -0.009022 Loss_D_fake 0.009209
[1242/5000][340/535][128133] Loss_D: -0.019649 Loss_G: 0.011293 Loss_D_real: -0.031981 Loss_D_fake -0.012332
[1242/5000][345/535][128134] Loss_D: -0.019754 Loss_G: 0.002357 Loss_D_real: -0.002557 Loss_D_fake 0.017197
[1242/5000][350/535][128135] Loss_D: -0.019667 Loss_G: 0.014921 Loss_D_real: -0.021488 Loss_D_fake -0.001821
[1242/5000][355/535][128136] Loss_D: -0.019734 Loss_G: 0.010667 Loss_D_real: -0.029429 Loss_D_fake -0.009695
[1242/5000][360/535][128137] Loss_D: -0.020417 Loss_G: 0.027534 Loss_D_real: -0.033167 Loss_D_fake -0.012750
[1242/5000][365/535][128138] Loss_D: -0.020439 Loss_G: 0.006102 Loss_D_real: -0.023929 Loss_D_fake -0.003489
[1242/5000][370/535][128139] Loss_D: -0.019108 Loss_G: 0.004068 Loss_D_real: -0.014586 Loss_D_fake 0.004522
[1242/5000][375/535][128140] Loss_D: -0.019274 Loss_G: -0.011037 Loss_D_real: -0.011726 Loss_D_fake 0.007548
[1242/5000][380/535][128141] Loss_D: -0.020455 Loss_G: -0.012533 Loss_D_real: -0.014354 Loss_D_fake 0.006101
[1242/5000][385/535][128142] Loss_D: -0.022235 Loss_G: 0.001773 Loss_D_real: -0.015242 Loss_D_fake 0.006993
[1242/5000][390/535][128143] Loss_D: -0.019955 Loss_G: 0.012922 Loss_D_real: -0.020426 Loss_D_fake -0.000471
[1242/5000][395/535][128144] Loss_D: -0.019420 Loss_G: -0.006178 Loss_D_real: -0.000394 Loss_D_fake 0.019026
[1242/5000][400/535][128145] Loss_D: -0.020410 Loss_G: 0.020192 Loss_D_real: -0.034628 Loss_D_fake -0.014218
[1242/5000][405/535][128146] Loss_D: -0.022076 Loss_G: 0.011742 Loss_D_real: -0.019861 Loss_D_fake 0.002215
[1242/5000][410/535][128147] Loss_D: -0.018963 Loss_G: -0.020855 Loss_D_real: 0.008258 Loss_D_fake 0.027221
[1242/5000][415/535][128148] Loss_D: -0.019975 Loss_G: -0.003677 Loss_D_real: -0.006470 Loss_D_fake 0.013505
[1242/5000][420/535][128149] Loss_D: -0.019900 Loss_G: 0.016085 Loss_D_real: -0.025946 Loss_D_fake -0.006045
[1242/5000][425/535][128150] Loss_D: -0.019257 Loss_G: -0.001633 Loss_D_real: -0.012120 Loss_D_fake 0.007137
[1242/5000][430/535][128151] Loss_D: -0.019358 Loss_G: -0.002750 Loss_D_real: -0.011382 Loss_D_fake 0.007977
[1242/5000][435/535][128152] Loss_D: -0.020345 Loss_G: 0.021450 Loss_D_real: -0.021872 Loss_D_fake -0.001528
[1242/5000][440/535][128153] Loss_D: -0.021314 Loss_G: 0.007499 Loss_D_real: -0.005252 Loss_D_fake 0.016062
[1242/5000][445/535][128154] Loss_D: -0.020084 Loss_G: -0.000166 Loss_D_real: -0.020140 Loss_D_fake -0.000055
[1242/5000][450/535][128155] Loss_D: -0.019752 Loss_G: -0.010332 Loss_D_real: -0.004687 Loss_D_fake 0.015064
[1242/5000][455/535][128156] Loss_D: -0.018577 Loss_G: 0.021875 Loss_D_real: -0.028758 Loss_D_fake -0.010180
[1242/5000][460/535][128157] Loss_D: -0.019736 Loss_G: -0.001862 Loss_D_real: -0.007129 Loss_D_fake 0.012606
[1242/5000][465/535][128158] Loss_D: -0.018985 Loss_G: 0.015518 Loss_D_real: -0.019246 Loss_D_fake -0.000261
[1242/5000][470/535][128159] Loss_D: -0.020236 Loss_G: 0.002576 Loss_D_real: -0.013212 Loss_D_fake 0.007025
[1242/5000][475/535][128160] Loss_D: -0.019780 Loss_G: 0.026158 Loss_D_real: -0.023672 Loss_D_fake -0.003892
[1242/5000][480/535][128161] Loss_D: -0.020057 Loss_G: -0.000822 Loss_D_real: -0.009012 Loss_D_fake 0.011045
[1242/5000][485/535][128162] Loss_D: -0.020652 Loss_G: 0.010360 Loss_D_real: -0.017093 Loss_D_fake 0.003559
[1242/5000][490/535][128163] Loss_D: -0.019537 Loss_G: 0.017018 Loss_D_real: -0.018621 Loss_D_fake 0.000916
[1242/5000][495/535][128164] Loss_D: -0.020574 Loss_G: -0.006194 Loss_D_real: -0.014303 Loss_D_fake 0.006271
[1242/5000][500/535][128165] Loss_D: -0.020165 Loss_G: -0.005377 Loss_D_real: -0.013315 Loss_D_fake 0.006850
[1242/5000][505/535][128166] Loss_D: -0.019529 Loss_G: 0.018264 Loss_D_real: -0.027635 Loss_D_fake -0.008106
[1242/5000][510/535][128167] Loss_D: -0.021822 Loss_G: 0.001259 Loss_D_real: -0.006120 Loss_D_fake 0.015702
[1242/5000][515/535][128168] Loss_D: -0.020336 Loss_G: 0.012188 Loss_D_real: -0.011893 Loss_D_fake 0.008444
[1242/5000][520/535][128169] Loss_D: -0.019967 Loss_G: -0.005285 Loss_D_real: -0.007001 Loss_D_fake 0.012966
[1242/5000][525/535][128170] Loss_D: -0.019580 Loss_G: 0.013465 Loss_D_real: -0.025618 Loss_D_fake -0.006037
[1242/5000][530/535][128171] Loss_D: -0.020802 Loss_G: 0.009202 Loss_D_real: -0.013254 Loss_D_fake 0.007549
[1242/5000][535/535][128172] Loss_D: -0.018018 Loss_G: 0.023584 Loss_D_real: -0.011514 Loss_D_fake 0.006504
[1243/5000][5/535][128173] Loss_D: -0.020674 Loss_G: 0.000547 Loss_D_real: -0.005780 Loss_D_fake 0.014894
[1243/5000][10/535][128174] Loss_D: -0.020290 Loss_G: 0.006445 Loss_D_real: -0.024838 Loss_D_fake -0.004548
[1243/5000][15/535][128175] Loss_D: -0.020167 Loss_G: 0.004895 Loss_D_real: -0.016827 Loss_D_fake 0.003340
[1243/5000][20/535][128176] Loss_D: -0.020219 Loss_G: 0.000973 Loss_D_real: -0.016788 Loss_D_fake 0.003432
[1243/5000][25/535][128177] Loss_D: -0.019670 Loss_G: 0.016378 Loss_D_real: -0.025743 Loss_D_fake -0.006073
[1243/5000][30/535][128178] Loss_D: -0.020303 Loss_G: 0.001633 Loss_D_real: -0.004136 Loss_D_fake 0.016167
[1243/5000][35/535][128179] Loss_D: -0.019988 Loss_G: 0.009943 Loss_D_real: -0.019800 Loss_D_fake 0.000187
[1243/5000][40/535][128180] Loss_D: -0.019352 Loss_G: 0.029672 Loss_D_real: -0.026591 Loss_D_fake -0.007239
[1243/5000][45/535][128181] Loss_D: -0.020193 Loss_G: -0.005558 Loss_D_real: -0.019298 Loss_D_fake 0.000895
[1243/5000][50/535][128182] Loss_D: -0.019883 Loss_G: -0.013865 Loss_D_real: -0.006956 Loss_D_fake 0.012927
[1243/5000][55/535][128183] Loss_D: -0.020182 Loss_G: 0.009772 Loss_D_real: -0.017233 Loss_D_fake 0.002950
[1243/5000][60/535][128184] Loss_D: -0.020555 Loss_G: 0.008682 Loss_D_real: -0.022940 Loss_D_fake -0.002385
[1243/5000][65/535][128185] Loss_D: -0.020217 Loss_G: 0.010352 Loss_D_real: -0.017776 Loss_D_fake 0.002441
[1243/5000][70/535][128186] Loss_D: -0.020256 Loss_G: 0.006229 Loss_D_real: -0.020340 Loss_D_fake -0.000084
[1243/5000][75/535][128187] Loss_D: -0.019789 Loss_G: 0.026396 Loss_D_real: -0.035626 Loss_D_fake -0.015837
[1243/5000][80/535][128188] Loss_D: -0.019269 Loss_G: -0.006470 Loss_D_real: -0.011402 Loss_D_fake 0.007867
[1243/5000][85/535][128189] Loss_D: -0.019883 Loss_G: 0.012872 Loss_D_real: -0.025136 Loss_D_fake -0.005253
[1243/5000][90/535][128190] Loss_D: -0.020245 Loss_G: -0.005846 Loss_D_real: -0.007831 Loss_D_fake 0.012413
[1243/5000][95/535][128191] Loss_D: -0.020062 Loss_G: -0.009073 Loss_D_real: -0.008179 Loss_D_fake 0.011883
[1243/5000][100/535][128192] Loss_D: -0.019794 Loss_G: -0.006861 Loss_D_real: -0.006990 Loss_D_fake 0.012803
[1243/5000][105/535][128193] Loss_D: -0.019407 Loss_G: -0.007910 Loss_D_real: 0.011838 Loss_D_fake 0.031245
[1243/5000][110/535][128194] Loss_D: -0.020553 Loss_G: 0.008418 Loss_D_real: -0.017683 Loss_D_fake 0.002871
[1243/5000][115/535][128195] Loss_D: -0.019733 Loss_G: 0.011144 Loss_D_real: -0.032237 Loss_D_fake -0.012504
[1243/5000][120/535][128196] Loss_D: -0.019723 Loss_G: 0.018801 Loss_D_real: -0.024963 Loss_D_fake -0.005240
[1243/5000][125/535][128197] Loss_D: -0.020280 Loss_G: 0.011875 Loss_D_real: -0.023512 Loss_D_fake -0.003232
[1243/5000][130/535][128198] Loss_D: -0.021251 Loss_G: -0.010468 Loss_D_real: -0.016677 Loss_D_fake 0.004574
[1243/5000][135/535][128199] Loss_D: -0.021264 Loss_G: 0.018987 Loss_D_real: -0.017879 Loss_D_fake 0.003385
[1243/5000][140/535][128200] Loss_D: -0.019872 Loss_G: -0.013339 Loss_D_real: 0.007718 Loss_D_fake 0.027590
[1243/5000][145/535][128201] Loss_D: -0.019451 Loss_G: -0.004168 Loss_D_real: -0.015625 Loss_D_fake 0.003826
[1243/5000][150/535][128202] Loss_D: -0.019619 Loss_G: 0.028240 Loss_D_real: -0.031029 Loss_D_fake -0.011410
[1243/5000][155/535][128203] Loss_D: -0.019875 Loss_G: 0.014967 Loss_D_real: -0.022987 Loss_D_fake -0.003112
[1243/5000][160/535][128204] Loss_D: -0.020809 Loss_G: 0.001956 Loss_D_real: -0.012277 Loss_D_fake 0.008532
[1243/5000][165/535][128205] Loss_D: -0.020233 Loss_G: -0.003051 Loss_D_real: -0.009379 Loss_D_fake 0.010853
[1243/5000][170/535][128206] Loss_D: -0.020079 Loss_G: 0.011824 Loss_D_real: -0.020400 Loss_D_fake -0.000321
[1243/5000][175/535][128207] Loss_D: -0.019110 Loss_G: 0.026965 Loss_D_real: -0.033083 Loss_D_fake -0.013972
[1243/5000][180/535][128208] Loss_D: -0.019763 Loss_G: 0.001771 Loss_D_real: -0.022420 Loss_D_fake -0.002657
[1243/5000][185/535][128209] Loss_D: -0.019405 Loss_G: 0.003776 Loss_D_real: -0.009475 Loss_D_fake 0.009930
[1243/5000][190/535][128210] Loss_D: -0.018953 Loss_G: 0.000937 Loss_D_real: -0.009997 Loss_D_fake 0.008956
[1243/5000][195/535][128211] Loss_D: -0.020337 Loss_G: 0.003408 Loss_D_real: -0.013794 Loss_D_fake 0.006543
[1243/5000][200/535][128212] Loss_D: -0.019956 Loss_G: 0.016546 Loss_D_real: -0.014660 Loss_D_fake 0.005296
[1243/5000][205/535][128213] Loss_D: -0.021825 Loss_G: -0.010367 Loss_D_real: -0.010978 Loss_D_fake 0.010847
[1243/5000][210/535][128214] Loss_D: -0.019224 Loss_G: -0.002670 Loss_D_real: -0.008873 Loss_D_fake 0.010352
[1243/5000][215/535][128215] Loss_D: -0.019161 Loss_G: -0.002892 Loss_D_real: -0.006765 Loss_D_fake 0.012395
[1243/5000][220/535][128216] Loss_D: -0.021671 Loss_G: 0.016764 Loss_D_real: -0.022154 Loss_D_fake -0.000483
[1243/5000][225/535][128217] Loss_D: -0.019659 Loss_G: 0.002594 Loss_D_real: -0.032724 Loss_D_fake -0.013065
[1243/5000][230/535][128218] Loss_D: -0.020809 Loss_G: -0.009505 Loss_D_real: -0.011994 Loss_D_fake 0.008815
[1243/5000][235/535][128219] Loss_D: -0.021509 Loss_G: 0.011203 Loss_D_real: -0.011113 Loss_D_fake 0.010396
[1243/5000][240/535][128220] Loss_D: -0.021213 Loss_G: 0.006651 Loss_D_real: -0.020559 Loss_D_fake 0.000654
[1243/5000][245/535][128221] Loss_D: -0.018952 Loss_G: 0.015001 Loss_D_real: -0.039695 Loss_D_fake -0.020743
[1243/5000][250/535][128222] Loss_D: -0.020390 Loss_G: 0.013381 Loss_D_real: -0.024165 Loss_D_fake -0.003775
[1243/5000][255/535][128223] Loss_D: -0.018535 Loss_G: 0.026443 Loss_D_real: -0.035946 Loss_D_fake -0.017411
[1243/5000][260/535][128224] Loss_D: -0.019269 Loss_G: 0.008337 Loss_D_real: -0.005593 Loss_D_fake 0.013677
[1243/5000][265/535][128225] Loss_D: -0.020640 Loss_G: 0.008162 Loss_D_real: -0.032425 Loss_D_fake -0.011785
[1243/5000][270/535][128226] Loss_D: -0.020445 Loss_G: -0.011221 Loss_D_real: -0.008310 Loss_D_fake 0.012136
[1243/5000][275/535][128227] Loss_D: -0.020021 Loss_G: 0.005233 Loss_D_real: -0.015335 Loss_D_fake 0.004686
[1243/5000][280/535][128228] Loss_D: -0.020647 Loss_G: 0.007217 Loss_D_real: -0.016153 Loss_D_fake 0.004494
[1243/5000][285/535][128229] Loss_D: -0.020546 Loss_G: 0.004690 Loss_D_real: -0.012075 Loss_D_fake 0.008471
[1243/5000][290/535][128230] Loss_D: -0.019686 Loss_G: 0.019848 Loss_D_real: -0.024225 Loss_D_fake -0.004539
[1243/5000][295/535][128231] Loss_D: -0.020294 Loss_G: -0.007829 Loss_D_real: -0.010567 Loss_D_fake 0.009727
[1243/5000][300/535][128232] Loss_D: -0.021441 Loss_G: 0.005877 Loss_D_real: -0.016461 Loss_D_fake 0.004980
[1243/5000][305/535][128233] Loss_D: -0.018989 Loss_G: -0.008433 Loss_D_real: -0.009529 Loss_D_fake 0.009460
[1243/5000][310/535][128234] Loss_D: -0.019897 Loss_G: 0.017657 Loss_D_real: -0.030376 Loss_D_fake -0.010479
[1243/5000][315/535][128235] Loss_D: -0.020639 Loss_G: 0.023827 Loss_D_real: -0.010697 Loss_D_fake 0.009942
[1243/5000][320/535][128236] Loss_D: -0.019913 Loss_G: -0.007714 Loss_D_real: -0.003251 Loss_D_fake 0.016662
[1243/5000][325/535][128237] Loss_D: -0.020372 Loss_G: 0.017717 Loss_D_real: -0.018846 Loss_D_fake 0.001526
[1243/5000][330/535][128238] Loss_D: -0.020367 Loss_G: -0.001860 Loss_D_real: -0.010857 Loss_D_fake 0.009509
[1243/5000][335/535][128239] Loss_D: -0.020202 Loss_G: -0.000933 Loss_D_real: -0.012164 Loss_D_fake 0.008038
[1243/5000][340/535][128240] Loss_D: -0.019582 Loss_G: 0.002971 Loss_D_real: -0.006298 Loss_D_fake 0.013284
[1243/5000][345/535][128241] Loss_D: -0.019721 Loss_G: -0.007528 Loss_D_real: -0.010953 Loss_D_fake 0.008768
[1243/5000][350/535][128242] Loss_D: -0.020306 Loss_G: -0.007461 Loss_D_real: -0.010893 Loss_D_fake 0.009413
[1243/5000][355/535][128243] Loss_D: -0.019934 Loss_G: -0.008323 Loss_D_real: -0.004535 Loss_D_fake 0.015399
[1243/5000][360/535][128244] Loss_D: -0.020281 Loss_G: -0.004734 Loss_D_real: -0.014721 Loss_D_fake 0.005560
[1243/5000][365/535][128245] Loss_D: -0.019637 Loss_G: 0.004717 Loss_D_real: -0.000578 Loss_D_fake 0.019059
[1243/5000][370/535][128246] Loss_D: -0.021212 Loss_G: 0.023648 Loss_D_real: -0.017049 Loss_D_fake 0.004163
[1243/5000][375/535][128247] Loss_D: -0.019438 Loss_G: 0.024054 Loss_D_real: -0.030035 Loss_D_fake -0.010598
[1243/5000][380/535][128248] Loss_D: -0.019962 Loss_G: -0.016295 Loss_D_real: -0.009410 Loss_D_fake 0.010551
[1243/5000][385/535][128249] Loss_D: -0.019163 Loss_G: -0.003513 Loss_D_real: -0.011546 Loss_D_fake 0.007617
[1243/5000][390/535][128250] Loss_D: -0.018749 Loss_G: 0.019338 Loss_D_real: -0.022896 Loss_D_fake -0.004147
[1243/5000][395/535][128251] Loss_D: -0.018869 Loss_G: 0.019436 Loss_D_real: -0.015963 Loss_D_fake 0.002906
[1243/5000][400/535][128252] Loss_D: -0.018789 Loss_G: 0.022077 Loss_D_real: -0.030859 Loss_D_fake -0.012069
[1243/5000][405/535][128253] Loss_D: -0.019359 Loss_G: -0.004725 Loss_D_real: -0.007881 Loss_D_fake 0.011478
[1243/5000][410/535][128254] Loss_D: -0.020935 Loss_G: -0.004781 Loss_D_real: -0.014073 Loss_D_fake 0.006861
[1243/5000][415/535][128255] Loss_D: -0.021561 Loss_G: 0.004916 Loss_D_real: -0.009250 Loss_D_fake 0.012311
[1243/5000][420/535][128256] Loss_D: -0.019985 Loss_G: -0.001911 Loss_D_real: -0.008322 Loss_D_fake 0.011663
[1243/5000][425/535][128257] Loss_D: -0.020101 Loss_G: 0.000647 Loss_D_real: 0.004839 Loss_D_fake 0.024939
[1243/5000][430/535][128258] Loss_D: -0.020568 Loss_G: 0.009979 Loss_D_real: -0.002355 Loss_D_fake 0.018213
[1243/5000][435/535][128259] Loss_D: -0.021114 Loss_G: 0.024015 Loss_D_real: -0.032175 Loss_D_fake -0.011062
[1243/5000][440/535][128260] Loss_D: -0.019645 Loss_G: -0.017405 Loss_D_real: -0.001038 Loss_D_fake 0.018606
[1243/5000][445/535][128261] Loss_D: -0.020522 Loss_G: 0.005416 Loss_D_real: -0.016127 Loss_D_fake 0.004395
[1243/5000][450/535][128262] Loss_D: -0.020920 Loss_G: 0.002694 Loss_D_real: -0.023825 Loss_D_fake -0.002905
[1243/5000][455/535][128263] Loss_D: -0.020222 Loss_G: 0.017498 Loss_D_real: -0.008961 Loss_D_fake 0.011261
[1243/5000][460/535][128264] Loss_D: -0.019684 Loss_G: 0.009929 Loss_D_real: -0.028858 Loss_D_fake -0.009174
[1243/5000][465/535][128265] Loss_D: -0.020231 Loss_G: 0.007161 Loss_D_real: -0.016148 Loss_D_fake 0.004083
[1243/5000][470/535][128266] Loss_D: -0.019035 Loss_G: 0.014923 Loss_D_real: -0.008271 Loss_D_fake 0.010764
[1243/5000][475/535][128267] Loss_D: -0.019556 Loss_G: -0.013828 Loss_D_real: -0.001555 Loss_D_fake 0.018000
[1243/5000][480/535][128268] Loss_D: -0.020431 Loss_G: 0.004964 Loss_D_real: -0.015288 Loss_D_fake 0.005143
[1243/5000][485/535][128269] Loss_D: -0.021612 Loss_G: 0.013983 Loss_D_real: -0.007821 Loss_D_fake 0.013792
[1243/5000][490/535][128270] Loss_D: -0.019311 Loss_G: 0.002625 Loss_D_real: -0.014125 Loss_D_fake 0.005186
[1243/5000][495/535][128271] Loss_D: -0.019488 Loss_G: 0.015152 Loss_D_real: -0.020679 Loss_D_fake -0.001191
[1243/5000][500/535][128272] Loss_D: -0.021341 Loss_G: 0.009359 Loss_D_real: -0.020183 Loss_D_fake 0.001158
[1243/5000][505/535][128273] Loss_D: -0.021867 Loss_G: 0.004626 Loss_D_real: -0.019217 Loss_D_fake 0.002650
[1243/5000][510/535][128274] Loss_D: -0.020331 Loss_G: 0.017131 Loss_D_real: -0.019412 Loss_D_fake 0.000919
[1243/5000][515/535][128275] Loss_D: -0.022129 Loss_G: 0.012707 Loss_D_real: -0.022557 Loss_D_fake -0.000428
[1243/5000][520/535][128276] Loss_D: -0.020262 Loss_G: -0.011250 Loss_D_real: -0.012572 Loss_D_fake 0.007690
[1243/5000][525/535][128277] Loss_D: -0.021434 Loss_G: 0.018393 Loss_D_real: -0.027622 Loss_D_fake -0.006188
[1243/5000][530/535][128278] Loss_D: -0.020568 Loss_G: -0.002953 Loss_D_real: -0.001409 Loss_D_fake 0.019159
[1243/5000][535/535][128279] Loss_D: -0.023174 Loss_G: -0.011000 Loss_D_real: -0.028735 Loss_D_fake -0.005561
[1244/5000][5/535][128280] Loss_D: -0.022299 Loss_G: -0.004321 Loss_D_real: -0.003516 Loss_D_fake 0.018783
[1244/5000][10/535][128281] Loss_D: -0.020887 Loss_G: 0.026297 Loss_D_real: -0.024012 Loss_D_fake -0.003125
[1244/5000][15/535][128282] Loss_D: -0.020292 Loss_G: 0.013209 Loss_D_real: -0.018883 Loss_D_fake 0.001409
[1244/5000][20/535][128283] Loss_D: -0.020000 Loss_G: 0.028162 Loss_D_real: -0.025375 Loss_D_fake -0.005375
[1244/5000][25/535][128284] Loss_D: -0.020574 Loss_G: 0.016082 Loss_D_real: -0.019618 Loss_D_fake 0.000956
[1244/5000][30/535][128285] Loss_D: -0.019341 Loss_G: 0.018889 Loss_D_real: -0.031018 Loss_D_fake -0.011677
[1244/5000][35/535][128286] Loss_D: -0.021742 Loss_G: 0.018285 Loss_D_real: -0.029535 Loss_D_fake -0.007793
[1244/5000][40/535][128287] Loss_D: -0.020187 Loss_G: 0.013356 Loss_D_real: -0.020908 Loss_D_fake -0.000722
[1244/5000][45/535][128288] Loss_D: -0.020445 Loss_G: -0.006043 Loss_D_real: -0.013213 Loss_D_fake 0.007232
[1244/5000][50/535][128289] Loss_D: -0.018993 Loss_G: 0.010863 Loss_D_real: -0.026504 Loss_D_fake -0.007512
[1244/5000][55/535][128290] Loss_D: -0.020577 Loss_G: 0.012317 Loss_D_real: -0.023391 Loss_D_fake -0.002814
[1244/5000][60/535][128291] Loss_D: -0.020127 Loss_G: -0.000319 Loss_D_real: 0.003021 Loss_D_fake 0.023147
[1244/5000][65/535][128292] Loss_D: -0.021196 Loss_G: 0.017043 Loss_D_real: -0.017067 Loss_D_fake 0.004129
[1244/5000][70/535][128293] Loss_D: -0.018630 Loss_G: -0.011777 Loss_D_real: -0.011542 Loss_D_fake 0.007088
[1244/5000][75/535][128294] Loss_D: -0.018516 Loss_G: -0.001022 Loss_D_real: -0.015494 Loss_D_fake 0.003022
[1244/5000][80/535][128295] Loss_D: -0.019389 Loss_G: 0.021630 Loss_D_real: -0.029665 Loss_D_fake -0.010276
[1244/5000][85/535][128296] Loss_D: -0.021598 Loss_G: 0.006425 Loss_D_real: -0.009428 Loss_D_fake 0.012169
[1244/5000][90/535][128297] Loss_D: -0.020729 Loss_G: -0.002375 Loss_D_real: -0.019499 Loss_D_fake 0.001230
[1244/5000][95/535][128298] Loss_D: -0.018772 Loss_G: 0.004684 Loss_D_real: -0.021534 Loss_D_fake -0.002761
[1244/5000][100/535][128299] Loss_D: -0.019872 Loss_G: -0.009204 Loss_D_real: -0.011988 Loss_D_fake 0.007884
[1244/5000][105/535][128300] Loss_D: -0.019307 Loss_G: 0.025206 Loss_D_real: -0.023064 Loss_D_fake -0.003757
[1244/5000][110/535][128301] Loss_D: -0.019865 Loss_G: 0.004952 Loss_D_real: -0.019590 Loss_D_fake 0.000275
[1244/5000][115/535][128302] Loss_D: -0.020340 Loss_G: 0.018736 Loss_D_real: -0.012711 Loss_D_fake 0.007630
[1244/5000][120/535][128303] Loss_D: -0.020527 Loss_G: -0.004276 Loss_D_real: -0.003422 Loss_D_fake 0.017105
[1244/5000][125/535][128304] Loss_D: -0.019830 Loss_G: 0.003497 Loss_D_real: -0.011306 Loss_D_fake 0.008524
[1244/5000][130/535][128305] Loss_D: -0.019673 Loss_G: -0.000186 Loss_D_real: -0.018338 Loss_D_fake 0.001335
[1244/5000][135/535][128306] Loss_D: -0.018968 Loss_G: 0.016052 Loss_D_real: -0.027499 Loss_D_fake -0.008531
[1244/5000][140/535][128307] Loss_D: -0.020468 Loss_G: 0.010986 Loss_D_real: -0.026065 Loss_D_fake -0.005597
[1244/5000][145/535][128308] Loss_D: -0.020267 Loss_G: 0.017498 Loss_D_real: -0.020534 Loss_D_fake -0.000267
[1244/5000][150/535][128309] Loss_D: -0.020526 Loss_G: 0.004537 Loss_D_real: -0.010976 Loss_D_fake 0.009549
[1244/5000][155/535][128310] Loss_D: -0.020464 Loss_G: 0.001927 Loss_D_real: -0.008763 Loss_D_fake 0.011701
[1244/5000][160/535][128311] Loss_D: -0.019695 Loss_G: 0.015490 Loss_D_real: -0.013428 Loss_D_fake 0.006266
[1244/5000][165/535][128312] Loss_D: -0.020161 Loss_G: 0.008299 Loss_D_real: -0.012793 Loss_D_fake 0.007368
[1244/5000][170/535][128313] Loss_D: -0.020532 Loss_G: 0.007970 Loss_D_real: -0.023980 Loss_D_fake -0.003448
[1244/5000][175/535][128314] Loss_D: -0.020297 Loss_G: 0.007965 Loss_D_real: -0.022722 Loss_D_fake -0.002425
[1244/5000][180/535][128315] Loss_D: -0.020487 Loss_G: 0.015756 Loss_D_real: -0.018789 Loss_D_fake 0.001698
[1244/5000][185/535][128316] Loss_D: -0.019546 Loss_G: 0.015135 Loss_D_real: -0.031981 Loss_D_fake -0.012435
[1244/5000][190/535][128317] Loss_D: -0.020310 Loss_G: -0.012814 Loss_D_real: -0.004621 Loss_D_fake 0.015688
[1244/5000][195/535][128318] Loss_D: -0.019713 Loss_G: -0.013226 Loss_D_real: -0.016309 Loss_D_fake 0.003403
[1244/5000][200/535][128319] Loss_D: -0.020228 Loss_G: 0.008987 Loss_D_real: -0.013411 Loss_D_fake 0.006817
[1244/5000][205/535][128320] Loss_D: -0.020969 Loss_G: -0.000620 Loss_D_real: -0.026155 Loss_D_fake -0.005185
[1244/5000][210/535][128321] Loss_D: -0.019951 Loss_G: -0.009160 Loss_D_real: -0.004683 Loss_D_fake 0.015268
[1244/5000][215/535][128322] Loss_D: -0.020152 Loss_G: 0.018439 Loss_D_real: -0.022035 Loss_D_fake -0.001883
[1244/5000][220/535][128323] Loss_D: -0.020832 Loss_G: 0.002978 Loss_D_real: -0.018622 Loss_D_fake 0.002210
[1244/5000][225/535][128324] Loss_D: -0.020470 Loss_G: 0.002291 Loss_D_real: -0.024771 Loss_D_fake -0.004301
[1244/5000][230/535][128325] Loss_D: -0.019695 Loss_G: 0.000894 Loss_D_real: -0.015059 Loss_D_fake 0.004636
[1244/5000][235/535][128326] Loss_D: -0.019859 Loss_G: 0.000479 Loss_D_real: -0.009108 Loss_D_fake 0.010752
[1244/5000][240/535][128327] Loss_D: -0.018807 Loss_G: 0.012869 Loss_D_real: -0.019059 Loss_D_fake -0.000252
[1244/5000][245/535][128328] Loss_D: -0.019370 Loss_G: -0.007129 Loss_D_real: -0.016597 Loss_D_fake 0.002773
[1244/5000][250/535][128329] Loss_D: -0.018561 Loss_G: 0.008225 Loss_D_real: -0.015023 Loss_D_fake 0.003538
[1244/5000][255/535][128330] Loss_D: -0.019997 Loss_G: -0.000379 Loss_D_real: -0.016598 Loss_D_fake 0.003399
[1244/5000][260/535][128331] Loss_D: -0.020284 Loss_G: -0.013280 Loss_D_real: -0.000959 Loss_D_fake 0.019325
[1244/5000][265/535][128332] Loss_D: -0.020146 Loss_G: 0.024282 Loss_D_real: -0.022119 Loss_D_fake -0.001973
[1244/5000][270/535][128333] Loss_D: -0.020905 Loss_G: 0.014338 Loss_D_real: -0.020835 Loss_D_fake 0.000071
[1244/5000][275/535][128334] Loss_D: -0.020518 Loss_G: 0.002995 Loss_D_real: -0.027181 Loss_D_fake -0.006663
[1244/5000][280/535][128335] Loss_D: -0.020184 Loss_G: 0.002765 Loss_D_real: -0.016872 Loss_D_fake 0.003312
[1244/5000][285/535][128336] Loss_D: -0.021072 Loss_G: 0.013111 Loss_D_real: -0.024198 Loss_D_fake -0.003126
[1244/5000][290/535][128337] Loss_D: -0.019978 Loss_G: 0.012328 Loss_D_real: -0.014830 Loss_D_fake 0.005149
[1244/5000][295/535][128338] Loss_D: -0.020740 Loss_G: 0.001878 Loss_D_real: -0.018227 Loss_D_fake 0.002513
[1244/5000][300/535][128339] Loss_D: -0.019994 Loss_G: 0.006043 Loss_D_real: -0.026365 Loss_D_fake -0.006370
[1244/5000][305/535][128340] Loss_D: -0.020814 Loss_G: 0.003071 Loss_D_real: -0.004202 Loss_D_fake 0.016612
[1244/5000][310/535][128341] Loss_D: -0.020650 Loss_G: 0.027759 Loss_D_real: -0.026222 Loss_D_fake -0.005571
[1244/5000][315/535][128342] Loss_D: -0.019849 Loss_G: 0.004285 Loss_D_real: 0.001237 Loss_D_fake 0.021086
[1244/5000][320/535][128343] Loss_D: -0.020489 Loss_G: 0.011105 Loss_D_real: -0.019853 Loss_D_fake 0.000636
[1244/5000][325/535][128344] Loss_D: -0.018317 Loss_G: -0.005321 Loss_D_real: -0.020727 Loss_D_fake -0.002410
[1244/5000][330/535][128345] Loss_D: -0.019813 Loss_G: 0.015478 Loss_D_real: -0.030340 Loss_D_fake -0.010527
[1244/5000][335/535][128346] Loss_D: -0.020105 Loss_G: 0.017156 Loss_D_real: -0.032834 Loss_D_fake -0.012729
[1244/5000][340/535][128347] Loss_D: -0.019901 Loss_G: 0.010914 Loss_D_real: -0.027539 Loss_D_fake -0.007637
[1244/5000][345/535][128348] Loss_D: -0.020181 Loss_G: -0.004022 Loss_D_real: -0.002476 Loss_D_fake 0.017705
[1244/5000][350/535][128349] Loss_D: -0.020840 Loss_G: 0.004745 Loss_D_real: -0.017799 Loss_D_fake 0.003041
[1244/5000][355/535][128350] Loss_D: -0.021332 Loss_G: 0.010800 Loss_D_real: -0.013011 Loss_D_fake 0.008321
[1244/5000][360/535][128351] Loss_D: -0.018471 Loss_G: 0.019162 Loss_D_real: -0.032458 Loss_D_fake -0.013987
[1244/5000][365/535][128352] Loss_D: -0.021396 Loss_G: 0.004598 Loss_D_real: -0.015941 Loss_D_fake 0.005455
[1244/5000][370/535][128353] Loss_D: -0.021497 Loss_G: 0.002455 Loss_D_real: -0.013366 Loss_D_fake 0.008131
[1244/5000][375/535][128354] Loss_D: -0.020176 Loss_G: -0.005508 Loss_D_real: -0.013308 Loss_D_fake 0.006867
[1244/5000][380/535][128355] Loss_D: -0.020341 Loss_G: 0.005469 Loss_D_real: -0.013489 Loss_D_fake 0.006852
[1244/5000][385/535][128356] Loss_D: -0.020657 Loss_G: 0.019116 Loss_D_real: -0.028979 Loss_D_fake -0.008323
[1244/5000][390/535][128357] Loss_D: -0.020565 Loss_G: -0.001143 Loss_D_real: 0.000625 Loss_D_fake 0.021190
[1244/5000][395/535][128358] Loss_D: -0.021911 Loss_G: 0.000314 Loss_D_real: -0.010107 Loss_D_fake 0.011805
[1244/5000][400/535][128359] Loss_D: -0.020084 Loss_G: 0.013852 Loss_D_real: -0.028139 Loss_D_fake -0.008055
[1244/5000][405/535][128360] Loss_D: -0.020990 Loss_G: -0.004038 Loss_D_real: -0.010355 Loss_D_fake 0.010635
[1244/5000][410/535][128361] Loss_D: -0.019587 Loss_G: 0.012846 Loss_D_real: -0.014511 Loss_D_fake 0.005075
[1244/5000][415/535][128362] Loss_D: -0.019453 Loss_G: -0.002255 Loss_D_real: -0.007753 Loss_D_fake 0.011699
[1244/5000][420/535][128363] Loss_D: -0.021066 Loss_G: 0.003834 Loss_D_real: -0.010382 Loss_D_fake 0.010684
[1244/5000][425/535][128364] Loss_D: -0.020736 Loss_G: 0.015064 Loss_D_real: -0.026341 Loss_D_fake -0.005604
[1244/5000][430/535][128365] Loss_D: -0.020147 Loss_G: 0.012815 Loss_D_real: -0.019644 Loss_D_fake 0.000503
[1244/5000][435/535][128366] Loss_D: -0.019467 Loss_G: 0.008865 Loss_D_real: -0.021586 Loss_D_fake -0.002118
[1244/5000][440/535][128367] Loss_D: -0.021713 Loss_G: -0.010728 Loss_D_real: -0.005095 Loss_D_fake 0.016618
[1244/5000][445/535][128368] Loss_D: -0.020803 Loss_G: -0.004369 Loss_D_real: -0.013383 Loss_D_fake 0.007419
[1244/5000][450/535][128369] Loss_D: -0.020720 Loss_G: 0.003185 Loss_D_real: -0.019771 Loss_D_fake 0.000949
[1244/5000][455/535][128370] Loss_D: -0.021100 Loss_G: 0.006617 Loss_D_real: -0.008722 Loss_D_fake 0.012378
[1244/5000][460/535][128371] Loss_D: -0.020975 Loss_G: -0.002397 Loss_D_real: -0.002900 Loss_D_fake 0.018075
[1244/5000][465/535][128372] Loss_D: -0.019670 Loss_G: -0.000957 Loss_D_real: 0.002844 Loss_D_fake 0.022514
[1244/5000][470/535][128373] Loss_D: -0.020112 Loss_G: 0.004460 Loss_D_real: -0.009818 Loss_D_fake 0.010294
[1244/5000][475/535][128374] Loss_D: -0.021224 Loss_G: 0.004381 Loss_D_real: -0.019410 Loss_D_fake 0.001814
[1244/5000][480/535][128375] Loss_D: -0.019758 Loss_G: -0.001411 Loss_D_real: -0.014104 Loss_D_fake 0.005654
[1244/5000][485/535][128376] Loss_D: -0.020435 Loss_G: 0.012491 Loss_D_real: -0.028034 Loss_D_fake -0.007598
[1244/5000][490/535][128377] Loss_D: -0.021210 Loss_G: 0.003395 Loss_D_real: 0.001661 Loss_D_fake 0.022871
[1244/5000][495/535][128378] Loss_D: -0.019280 Loss_G: 0.034938 Loss_D_real: -0.024430 Loss_D_fake -0.005150
[1244/5000][500/535][128379] Loss_D: -0.019479 Loss_G: -0.008666 Loss_D_real: -0.019839 Loss_D_fake -0.000360
[1244/5000][505/535][128380] Loss_D: -0.020228 Loss_G: 0.019857 Loss_D_real: -0.020827 Loss_D_fake -0.000599
[1244/5000][510/535][128381] Loss_D: -0.019886 Loss_G: 0.014266 Loss_D_real: -0.018502 Loss_D_fake 0.001384
[1244/5000][515/535][128382] Loss_D: -0.020060 Loss_G: 0.018558 Loss_D_real: -0.024264 Loss_D_fake -0.004205
[1244/5000][520/535][128383] Loss_D: -0.019998 Loss_G: 0.024737 Loss_D_real: -0.026371 Loss_D_fake -0.006373
[1244/5000][525/535][128384] Loss_D: -0.019609 Loss_G: 0.000006 Loss_D_real: -0.018142 Loss_D_fake 0.001468
[1244/5000][530/535][128385] Loss_D: -0.020219 Loss_G: 0.012850 Loss_D_real: -0.026660 Loss_D_fake -0.006441
[1244/5000][535/535][128386] Loss_D: -0.021313 Loss_G: 0.009818 Loss_D_real: -0.027024 Loss_D_fake -0.005711
[1245/5000][5/535][128387] Loss_D: -0.021105 Loss_G: -0.001372 Loss_D_real: -0.012471 Loss_D_fake 0.008634
[1245/5000][10/535][128388] Loss_D: -0.020879 Loss_G: -0.010906 Loss_D_real: -0.006755 Loss_D_fake 0.014124
[1245/5000][15/535][128389] Loss_D: -0.019808 Loss_G: 0.021335 Loss_D_real: -0.027488 Loss_D_fake -0.007680
[1245/5000][20/535][128390] Loss_D: -0.018685 Loss_G: 0.029589 Loss_D_real: -0.033565 Loss_D_fake -0.014880
[1245/5000][25/535][128391] Loss_D: -0.021191 Loss_G: 0.006822 Loss_D_real: -0.009476 Loss_D_fake 0.011715
[1245/5000][30/535][128392] Loss_D: -0.020376 Loss_G: 0.002418 Loss_D_real: -0.017368 Loss_D_fake 0.003008
[1245/5000][35/535][128393] Loss_D: -0.021428 Loss_G: 0.018280 Loss_D_real: -0.023010 Loss_D_fake -0.001581
[1245/5000][40/535][128394] Loss_D: -0.020063 Loss_G: 0.016922 Loss_D_real: -0.030422 Loss_D_fake -0.010359
[1245/5000][45/535][128395] Loss_D: -0.019546 Loss_G: 0.011385 Loss_D_real: -0.022457 Loss_D_fake -0.002912
[1245/5000][50/535][128396] Loss_D: -0.018468 Loss_G: 0.021870 Loss_D_real: -0.036759 Loss_D_fake -0.018291
[1245/5000][55/535][128397] Loss_D: -0.020061 Loss_G: -0.023690 Loss_D_real: -0.005094 Loss_D_fake 0.014967
[1245/5000][60/535][128398] Loss_D: -0.019293 Loss_G: 0.019706 Loss_D_real: -0.021182 Loss_D_fake -0.001889
[1245/5000][65/535][128399] Loss_D: -0.021104 Loss_G: -0.003877 Loss_D_real: -0.027665 Loss_D_fake -0.006561
[1245/5000][70/535][128400] Loss_D: -0.020820 Loss_G: 0.006438 Loss_D_real: -0.012535 Loss_D_fake 0.008284
[1245/5000][75/535][128401] Loss_D: -0.020505 Loss_G: -0.002428 Loss_D_real: -0.001268 Loss_D_fake 0.019237
[1245/5000][80/535][128402] Loss_D: -0.019387 Loss_G: 0.008753 Loss_D_real: -0.018788 Loss_D_fake 0.000600
[1245/5000][85/535][128403] Loss_D: -0.019797 Loss_G: 0.018149 Loss_D_real: -0.021122 Loss_D_fake -0.001325
[1245/5000][90/535][128404] Loss_D: -0.021449 Loss_G: 0.021665 Loss_D_real: -0.026726 Loss_D_fake -0.005276
[1245/5000][95/535][128405] Loss_D: -0.020171 Loss_G: 0.017049 Loss_D_real: -0.011558 Loss_D_fake 0.008613
[1245/5000][100/535][128406] Loss_D: -0.019133 Loss_G: -0.001844 Loss_D_real: -0.013376 Loss_D_fake 0.005756
[1245/5000][105/535][128407] Loss_D: -0.019537 Loss_G: 0.010357 Loss_D_real: -0.027860 Loss_D_fake -0.008322
[1245/5000][110/535][128408] Loss_D: -0.020460 Loss_G: 0.001825 Loss_D_real: -0.007448 Loss_D_fake 0.013012
[1245/5000][115/535][128409] Loss_D: -0.020348 Loss_G: 0.006596 Loss_D_real: -0.009835 Loss_D_fake 0.010513
[1245/5000][120/535][128410] Loss_D: -0.019826 Loss_G: 0.008798 Loss_D_real: -0.026785 Loss_D_fake -0.006959
[1245/5000][125/535][128411] Loss_D: -0.021264 Loss_G: 0.007392 Loss_D_real: -0.013031 Loss_D_fake 0.008233
[1245/5000][130/535][128412] Loss_D: -0.020016 Loss_G: 0.005551 Loss_D_real: -0.019645 Loss_D_fake 0.000370
[1245/5000][135/535][128413] Loss_D: -0.019624 Loss_G: 0.030875 Loss_D_real: -0.031818 Loss_D_fake -0.012194
[1245/5000][140/535][128414] Loss_D: -0.019723 Loss_G: 0.009048 Loss_D_real: -0.019510 Loss_D_fake 0.000213
[1245/5000][145/535][128415] Loss_D: -0.019246 Loss_G: -0.019156 Loss_D_real: -0.005423 Loss_D_fake 0.013823
[1245/5000][150/535][128416] Loss_D: -0.021216 Loss_G: 0.011566 Loss_D_real: -0.016998 Loss_D_fake 0.004218
[1245/5000][155/535][128417] Loss_D: -0.020188 Loss_G: -0.000366 Loss_D_real: -0.012374 Loss_D_fake 0.007814
[1245/5000][160/535][128418] Loss_D: -0.019457 Loss_G: 0.012185 Loss_D_real: -0.012858 Loss_D_fake 0.006598
[1245/5000][165/535][128419] Loss_D: -0.019349 Loss_G: 0.022503 Loss_D_real: -0.032668 Loss_D_fake -0.013320
[1245/5000][170/535][128420] Loss_D: -0.019515 Loss_G: 0.027275 Loss_D_real: -0.025032 Loss_D_fake -0.005517
[1245/5000][175/535][128421] Loss_D: -0.021196 Loss_G: 0.005515 Loss_D_real: -0.017448 Loss_D_fake 0.003748
[1245/5000][180/535][128422] Loss_D: -0.019525 Loss_G: -0.006561 Loss_D_real: -0.007209 Loss_D_fake 0.012316
[1245/5000][185/535][128423] Loss_D: -0.019303 Loss_G: 0.029546 Loss_D_real: -0.028909 Loss_D_fake -0.009606
[1245/5000][190/535][128424] Loss_D: -0.020712 Loss_G: -0.003489 Loss_D_real: -0.008128 Loss_D_fake 0.012584
[1245/5000][195/535][128425] Loss_D: -0.019712 Loss_G: 0.016508 Loss_D_real: -0.028412 Loss_D_fake -0.008700
[1245/5000][200/535][128426] Loss_D: -0.020483 Loss_G: 0.009128 Loss_D_real: -0.013533 Loss_D_fake 0.006950
[1245/5000][205/535][128427] Loss_D: -0.020957 Loss_G: -0.004080 Loss_D_real: -0.010380 Loss_D_fake 0.010577
[1245/5000][210/535][128428] Loss_D: -0.021653 Loss_G: -0.009771 Loss_D_real: -0.018506 Loss_D_fake 0.003147
[1245/5000][215/535][128429] Loss_D: -0.020750 Loss_G: -0.001182 Loss_D_real: -0.011931 Loss_D_fake 0.008818
[1245/5000][220/535][128430] Loss_D: -0.019912 Loss_G: 0.004821 Loss_D_real: -0.017656 Loss_D_fake 0.002256
[1245/5000][225/535][128431] Loss_D: -0.019975 Loss_G: -0.006882 Loss_D_real: -0.008069 Loss_D_fake 0.011906
[1245/5000][230/535][128432] Loss_D: -0.019302 Loss_G: 0.014618 Loss_D_real: -0.038791 Loss_D_fake -0.019488
[1245/5000][235/535][128433] Loss_D: -0.020162 Loss_G: 0.012928 Loss_D_real: -0.018485 Loss_D_fake 0.001677
[1245/5000][240/535][128434] Loss_D: -0.019413 Loss_G: 0.000945 Loss_D_real: -0.011874 Loss_D_fake 0.007539
[1245/5000][245/535][128435] Loss_D: -0.020592 Loss_G: 0.007571 Loss_D_real: -0.013797 Loss_D_fake 0.006794
[1245/5000][250/535][128436] Loss_D: -0.019062 Loss_G: 0.007392 Loss_D_real: -0.022677 Loss_D_fake -0.003615
[1245/5000][255/535][128437] Loss_D: -0.020110 Loss_G: 0.015341 Loss_D_real: -0.018590 Loss_D_fake 0.001520
[1245/5000][260/535][128438] Loss_D: -0.020306 Loss_G: 0.019324 Loss_D_real: -0.022769 Loss_D_fake -0.002463
[1245/5000][265/535][128439] Loss_D: -0.021048 Loss_G: -0.000106 Loss_D_real: -0.010019 Loss_D_fake 0.011030
[1245/5000][270/535][128440] Loss_D: -0.020332 Loss_G: 0.002736 Loss_D_real: -0.023250 Loss_D_fake -0.002918
[1245/5000][275/535][128441] Loss_D: -0.020117 Loss_G: -0.002641 Loss_D_real: -0.017820 Loss_D_fake 0.002297
[1245/5000][280/535][128442] Loss_D: -0.020427 Loss_G: 0.004739 Loss_D_real: -0.018163 Loss_D_fake 0.002264
[1245/5000][285/535][128443] Loss_D: -0.019585 Loss_G: 0.004384 Loss_D_real: -0.013909 Loss_D_fake 0.005676
[1245/5000][290/535][128444] Loss_D: -0.020179 Loss_G: 0.031065 Loss_D_real: -0.029860 Loss_D_fake -0.009681
[1245/5000][295/535][128445] Loss_D: -0.020503 Loss_G: 0.007349 Loss_D_real: -0.021937 Loss_D_fake -0.001434
[1245/5000][300/535][128446] Loss_D: -0.022077 Loss_G: -0.009777 Loss_D_real: -0.015670 Loss_D_fake 0.006407
[1245/5000][305/535][128447] Loss_D: -0.020974 Loss_G: -0.003772 Loss_D_real: -0.013638 Loss_D_fake 0.007337
[1245/5000][310/535][128448] Loss_D: -0.020449 Loss_G: 0.018246 Loss_D_real: -0.024550 Loss_D_fake -0.004101
[1245/5000][315/535][128449] Loss_D: -0.019617 Loss_G: -0.003999 Loss_D_real: -0.004950 Loss_D_fake 0.014667
[1245/5000][320/535][128450] Loss_D: -0.021062 Loss_G: 0.006879 Loss_D_real: -0.018345 Loss_D_fake 0.002718
[1245/5000][325/535][128451] Loss_D: -0.020067 Loss_G: 0.002278 Loss_D_real: -0.000970 Loss_D_fake 0.019097
[1245/5000][330/535][128452] Loss_D: -0.019927 Loss_G: 0.000541 Loss_D_real: -0.018592 Loss_D_fake 0.001335
[1245/5000][335/535][128453] Loss_D: -0.020395 Loss_G: 0.009500 Loss_D_real: -0.016522 Loss_D_fake 0.003873
[1245/5000][340/535][128454] Loss_D: -0.018996 Loss_G: 0.009002 Loss_D_real: -0.025428 Loss_D_fake -0.006433
[1245/5000][345/535][128455] Loss_D: -0.019136 Loss_G: -0.001458 Loss_D_real: 0.003070 Loss_D_fake 0.022205
[1245/5000][350/535][128456] Loss_D: -0.019437 Loss_G: 0.005846 Loss_D_real: -0.012886 Loss_D_fake 0.006551
[1245/5000][355/535][128457] Loss_D: -0.020120 Loss_G: -0.001830 Loss_D_real: -0.025932 Loss_D_fake -0.005813
[1245/5000][360/535][128458] Loss_D: -0.020888 Loss_G: 0.019573 Loss_D_real: -0.027079 Loss_D_fake -0.006191
[1245/5000][365/535][128459] Loss_D: -0.020807 Loss_G: 0.019351 Loss_D_real: -0.019056 Loss_D_fake 0.001751
[1245/5000][370/535][128460] Loss_D: -0.020416 Loss_G: 0.000082 Loss_D_real: -0.006568 Loss_D_fake 0.013848
[1245/5000][375/535][128461] Loss_D: -0.019782 Loss_G: 0.004231 Loss_D_real: -0.021363 Loss_D_fake -0.001580
[1245/5000][380/535][128462] Loss_D: -0.020203 Loss_G: -0.021595 Loss_D_real: -0.005625 Loss_D_fake 0.014578
[1245/5000][385/535][128463] Loss_D: -0.019044 Loss_G: 0.025205 Loss_D_real: -0.033951 Loss_D_fake -0.014907
[1245/5000][390/535][128464] Loss_D: -0.018997 Loss_G: 0.017970 Loss_D_real: -0.022925 Loss_D_fake -0.003928
[1245/5000][395/535][128465] Loss_D: -0.021204 Loss_G: 0.014243 Loss_D_real: -0.030189 Loss_D_fake -0.008985
[1245/5000][400/535][128466] Loss_D: -0.019963 Loss_G: 0.001274 Loss_D_real: -0.015014 Loss_D_fake 0.004950
[1245/5000][405/535][128467] Loss_D: -0.020183 Loss_G: 0.009708 Loss_D_real: -0.014414 Loss_D_fake 0.005769
[1245/5000][410/535][128468] Loss_D: -0.019854 Loss_G: 0.021712 Loss_D_real: -0.035218 Loss_D_fake -0.015364
[1245/5000][415/535][128469] Loss_D: -0.019892 Loss_G: 0.015034 Loss_D_real: -0.021245 Loss_D_fake -0.001353
[1245/5000][420/535][128470] Loss_D: -0.019431 Loss_G: 0.014116 Loss_D_real: -0.027676 Loss_D_fake -0.008245
[1245/5000][425/535][128471] Loss_D: -0.021169 Loss_G: 0.003772 Loss_D_real: -0.005812 Loss_D_fake 0.015357
[1245/5000][430/535][128472] Loss_D: -0.018464 Loss_G: 0.033772 Loss_D_real: -0.034037 Loss_D_fake -0.015573
[1245/5000][435/535][128473] Loss_D: -0.020064 Loss_G: -0.005972 Loss_D_real: -0.008952 Loss_D_fake 0.011112
[1245/5000][440/535][128474] Loss_D: -0.019291 Loss_G: 0.026224 Loss_D_real: -0.023103 Loss_D_fake -0.003811
[1245/5000][445/535][128475] Loss_D: -0.020837 Loss_G: 0.010398 Loss_D_real: -0.008754 Loss_D_fake 0.012082
[1245/5000][450/535][128476] Loss_D: -0.020884 Loss_G: 0.002383 Loss_D_real: -0.014949 Loss_D_fake 0.005934
[1245/5000][455/535][128477] Loss_D: -0.021308 Loss_G: -0.005926 Loss_D_real: -0.018793 Loss_D_fake 0.002515
[1245/5000][460/535][128478] Loss_D: -0.021250 Loss_G: 0.006562 Loss_D_real: -0.018437 Loss_D_fake 0.002813
[1245/5000][465/535][128479] Loss_D: -0.019725 Loss_G: 0.015855 Loss_D_real: -0.015039 Loss_D_fake 0.004686
[1245/5000][470/535][128480] Loss_D: -0.020501 Loss_G: -0.006829 Loss_D_real: -0.007780 Loss_D_fake 0.012721
[1245/5000][475/535][128481] Loss_D: -0.020154 Loss_G: 0.013744 Loss_D_real: -0.022903 Loss_D_fake -0.002748
[1245/5000][480/535][128482] Loss_D: -0.020315 Loss_G: 0.003411 Loss_D_real: -0.016745 Loss_D_fake 0.003570
[1245/5000][485/535][128483] Loss_D: -0.020876 Loss_G: -0.000340 Loss_D_real: -0.016148 Loss_D_fake 0.004728
[1245/5000][490/535][128484] Loss_D: -0.021538 Loss_G: 0.006209 Loss_D_real: -0.011488 Loss_D_fake 0.010049
[1245/5000][495/535][128485] Loss_D: -0.021366 Loss_G: 0.008057 Loss_D_real: -0.014213 Loss_D_fake 0.007153
[1245/5000][500/535][128486] Loss_D: -0.020717 Loss_G: -0.004716 Loss_D_real: -0.011968 Loss_D_fake 0.008749
[1245/5000][505/535][128487] Loss_D: -0.019449 Loss_G: 0.012656 Loss_D_real: -0.024550 Loss_D_fake -0.005101
[1245/5000][510/535][128488] Loss_D: -0.020668 Loss_G: -0.004468 Loss_D_real: -0.013904 Loss_D_fake 0.006764
[1245/5000][515/535][128489] Loss_D: -0.018801 Loss_G: -0.002638 Loss_D_real: -0.003534 Loss_D_fake 0.015267
[1245/5000][520/535][128490] Loss_D: -0.021385 Loss_G: 0.007963 Loss_D_real: -0.010913 Loss_D_fake 0.010473
[1245/5000][525/535][128491] Loss_D: -0.019947 Loss_G: 0.023016 Loss_D_real: -0.019083 Loss_D_fake 0.000864
[1245/5000][530/535][128492] Loss_D: -0.021989 Loss_G: -0.008257 Loss_D_real: -0.015334 Loss_D_fake 0.006655
[1245/5000][535/535][128493] Loss_D: -0.020408 Loss_G: 0.023277 Loss_D_real: -0.020342 Loss_D_fake 0.000066
[1246/5000][5/535][128494] Loss_D: -0.019559 Loss_G: 0.001038 Loss_D_real: -0.014834 Loss_D_fake 0.004725
[1246/5000][10/535][128495] Loss_D: -0.019694 Loss_G: 0.002070 Loss_D_real: -0.004900 Loss_D_fake 0.014794
[1246/5000][15/535][128496] Loss_D: -0.019437 Loss_G: 0.000877 Loss_D_real: -0.012882 Loss_D_fake 0.006555
[1246/5000][20/535][128497] Loss_D: -0.019945 Loss_G: -0.007924 Loss_D_real: -0.006598 Loss_D_fake 0.013347
[1246/5000][25/535][128498] Loss_D: -0.019432 Loss_G: 0.000063 Loss_D_real: -0.007164 Loss_D_fake 0.012268
[1246/5000][30/535][128499] Loss_D: -0.019169 Loss_G: 0.010777 Loss_D_real: -0.022078 Loss_D_fake -0.002910
[1246/5000][35/535][128500] Loss_D: -0.020334 Loss_G: 0.007003 Loss_D_real: -0.001904 Loss_D_fake 0.018429
[1246/5000][135/535][128501] Loss_D: -0.023958 Loss_G: 0.013875 Loss_D_real: -0.021327 Loss_D_fake 0.002631
[1246/5000][140/535][128502] Loss_D: -0.016615 Loss_G: 0.018387 Loss_D_real: -0.015202 Loss_D_fake 0.001414
[1246/5000][145/535][128503] Loss_D: -0.020118 Loss_G: -0.006466 Loss_D_real: -0.031181 Loss_D_fake -0.011062
[1246/5000][150/535][128504] Loss_D: -0.018438 Loss_G: -0.004276 Loss_D_real: -0.010576 Loss_D_fake 0.007862
[1246/5000][155/535][128505] Loss_D: -0.017196 Loss_G: 0.012965 Loss_D_real: -0.020128 Loss_D_fake -0.002932
[1246/5000][160/535][128506] Loss_D: -0.020060 Loss_G: -0.003137 Loss_D_real: -0.012667 Loss_D_fake 0.007393
[1246/5000][165/535][128507] Loss_D: -0.019975 Loss_G: 0.009097 Loss_D_real: -0.022755 Loss_D_fake -0.002780
[1246/5000][170/535][128508] Loss_D: -0.018898 Loss_G: 0.008416 Loss_D_real: -0.003641 Loss_D_fake 0.015257
[1246/5000][175/535][128509] Loss_D: -0.019878 Loss_G: 0.020399 Loss_D_real: -0.018903 Loss_D_fake 0.000975
[1246/5000][180/535][128510] Loss_D: -0.019918 Loss_G: 0.014909 Loss_D_real: -0.021819 Loss_D_fake -0.001901
[1246/5000][185/535][128511] Loss_D: -0.019035 Loss_G: -0.001118 Loss_D_real: -0.008299 Loss_D_fake 0.010736
[1246/5000][190/535][128512] Loss_D: -0.020541 Loss_G: -0.000269 Loss_D_real: -0.012149 Loss_D_fake 0.008392
[1246/5000][195/535][128513] Loss_D: -0.020597 Loss_G: 0.003046 Loss_D_real: -0.016705 Loss_D_fake 0.003893
[1246/5000][200/535][128514] Loss_D: -0.019807 Loss_G: 0.002171 Loss_D_real: -0.019715 Loss_D_fake 0.000092
[1246/5000][205/535][128515] Loss_D: -0.018753 Loss_G: 0.013663 Loss_D_real: -0.019971 Loss_D_fake -0.001218
[1246/5000][210/535][128516] Loss_D: -0.019311 Loss_G: 0.000333 Loss_D_real: -0.012775 Loss_D_fake 0.006536
[1246/5000][215/535][128517] Loss_D: -0.019270 Loss_G: 0.005447 Loss_D_real: -0.028746 Loss_D_fake -0.009475
[1246/5000][220/535][128518] Loss_D: -0.020097 Loss_G: 0.020092 Loss_D_real: -0.014085 Loss_D_fake 0.006013
[1246/5000][225/535][128519] Loss_D: -0.019948 Loss_G: -0.006998 Loss_D_real: -0.006040 Loss_D_fake 0.013908
[1246/5000][230/535][128520] Loss_D: -0.018886 Loss_G: 0.006635 Loss_D_real: -0.030492 Loss_D_fake -0.011606
[1246/5000][235/535][128521] Loss_D: -0.019784 Loss_G: 0.009798 Loss_D_real: -0.013888 Loss_D_fake 0.005896
[1246/5000][240/535][128522] Loss_D: -0.019594 Loss_G: 0.030921 Loss_D_real: -0.022200 Loss_D_fake -0.002605
[1246/5000][245/535][128523] Loss_D: -0.020236 Loss_G: -0.005868 Loss_D_real: -0.010705 Loss_D_fake 0.009531
[1246/5000][250/535][128524] Loss_D: -0.020462 Loss_G: -0.006623 Loss_D_real: -0.012539 Loss_D_fake 0.007923
[1246/5000][255/535][128525] Loss_D: -0.019520 Loss_G: -0.001410 Loss_D_real: -0.001684 Loss_D_fake 0.017836
[1246/5000][260/535][128526] Loss_D: -0.019559 Loss_G: -0.022195 Loss_D_real: -0.005075 Loss_D_fake 0.014484
[1246/5000][265/535][128527] Loss_D: -0.018826 Loss_G: -0.002063 Loss_D_real: -0.006551 Loss_D_fake 0.012274
[1246/5000][270/535][128528] Loss_D: -0.019358 Loss_G: 0.018651 Loss_D_real: -0.027656 Loss_D_fake -0.008298
[1246/5000][275/535][128529] Loss_D: -0.019267 Loss_G: 0.002573 Loss_D_real: -0.011407 Loss_D_fake 0.007859
[1246/5000][280/535][128530] Loss_D: -0.020064 Loss_G: 0.012814 Loss_D_real: -0.020825 Loss_D_fake -0.000761
[1246/5000][285/535][128531] Loss_D: -0.020177 Loss_G: -0.005584 Loss_D_real: -0.011853 Loss_D_fake 0.008324
[1246/5000][290/535][128532] Loss_D: -0.019225 Loss_G: 0.011372 Loss_D_real: -0.011717 Loss_D_fake 0.007508
[1246/5000][295/535][128533] Loss_D: -0.019793 Loss_G: 0.010597 Loss_D_real: -0.010689 Loss_D_fake 0.009105
[1246/5000][300/535][128534] Loss_D: -0.017904 Loss_G: 0.016721 Loss_D_real: -0.033260 Loss_D_fake -0.015356
[1246/5000][305/535][128535] Loss_D: -0.018857 Loss_G: -0.014587 Loss_D_real: 0.000434 Loss_D_fake 0.019291
[1246/5000][310/535][128536] Loss_D: -0.020256 Loss_G: -0.005754 Loss_D_real: -0.014009 Loss_D_fake 0.006247
[1246/5000][315/535][128537] Loss_D: -0.019810 Loss_G: 0.009151 Loss_D_real: -0.009189 Loss_D_fake 0.010621
[1246/5000][320/535][128538] Loss_D: -0.020131 Loss_G: 0.000484 Loss_D_real: -0.028975 Loss_D_fake -0.008844
[1246/5000][325/535][128539] Loss_D: -0.020317 Loss_G: -0.004389 Loss_D_real: -0.000359 Loss_D_fake 0.019957
[1246/5000][330/535][128540] Loss_D: -0.020466 Loss_G: -0.004240 Loss_D_real: -0.008886 Loss_D_fake 0.011580
[1246/5000][335/535][128541] Loss_D: -0.020902 Loss_G: 0.018841 Loss_D_real: -0.022635 Loss_D_fake -0.001733
[1246/5000][340/535][128542] Loss_D: -0.019569 Loss_G: -0.002578 Loss_D_real: -0.007831 Loss_D_fake 0.011738
[1246/5000][345/535][128543] Loss_D: -0.021228 Loss_G: 0.000218 Loss_D_real: 0.006541 Loss_D_fake 0.027769
[1246/5000][350/535][128544] Loss_D: -0.018909 Loss_G: 0.022956 Loss_D_real: -0.022134 Loss_D_fake -0.003225
[1246/5000][355/535][128545] Loss_D: -0.021053 Loss_G: -0.010819 Loss_D_real: -0.020949 Loss_D_fake 0.000104
[1246/5000][360/535][128546] Loss_D: -0.019934 Loss_G: 0.015249 Loss_D_real: -0.011518 Loss_D_fake 0.008416
[1246/5000][365/535][128547] Loss_D: -0.020753 Loss_G: -0.001201 Loss_D_real: -0.004588 Loss_D_fake 0.016165
[1246/5000][370/535][128548] Loss_D: -0.020809 Loss_G: 0.014150 Loss_D_real: -0.019657 Loss_D_fake 0.001152
[1246/5000][375/535][128549] Loss_D: -0.019367 Loss_G: 0.005436 Loss_D_real: -0.011760 Loss_D_fake 0.007607
[1246/5000][380/535][128550] Loss_D: -0.020059 Loss_G: 0.010948 Loss_D_real: -0.011854 Loss_D_fake 0.008205
[1246/5000][385/535][128551] Loss_D: -0.019249 Loss_G: -0.002988 Loss_D_real: -0.016563 Loss_D_fake 0.002687
[1246/5000][390/535][128552] Loss_D: -0.021308 Loss_G: -0.007008 Loss_D_real: -0.014584 Loss_D_fake 0.006724
[1246/5000][395/535][128553] Loss_D: -0.019401 Loss_G: -0.003365 Loss_D_real: -0.013648 Loss_D_fake 0.005753
[1246/5000][400/535][128554] Loss_D: -0.020244 Loss_G: 0.009552 Loss_D_real: -0.007937 Loss_D_fake 0.012307
[1246/5000][405/535][128555] Loss_D: -0.021241 Loss_G: 0.021861 Loss_D_real: -0.023787 Loss_D_fake -0.002546
[1246/5000][410/535][128556] Loss_D: -0.020617 Loss_G: 0.022945 Loss_D_real: -0.016326 Loss_D_fake 0.004291
[1246/5000][415/535][128557] Loss_D: -0.020403 Loss_G: 0.012676 Loss_D_real: -0.025072 Loss_D_fake -0.004669
[1246/5000][420/535][128558] Loss_D: -0.019808 Loss_G: 0.021429 Loss_D_real: -0.027413 Loss_D_fake -0.007605
[1246/5000][425/535][128559] Loss_D: -0.020046 Loss_G: -0.012078 Loss_D_real: -0.010715 Loss_D_fake 0.009331
[1246/5000][430/535][128560] Loss_D: -0.020754 Loss_G: 0.000258 Loss_D_real: -0.014542 Loss_D_fake 0.006212
[1246/5000][435/535][128561] Loss_D: -0.020756 Loss_G: -0.003074 Loss_D_real: -0.017923 Loss_D_fake 0.002834
[1246/5000][440/535][128562] Loss_D: -0.020694 Loss_G: 0.002624 Loss_D_real: -0.014759 Loss_D_fake 0.005936
[1246/5000][445/535][128563] Loss_D: -0.020682 Loss_G: -0.010496 Loss_D_real: -0.003458 Loss_D_fake 0.017224
[1246/5000][450/535][128564] Loss_D: -0.020134 Loss_G: 0.025204 Loss_D_real: -0.017551 Loss_D_fake 0.002583
[1246/5000][455/535][128565] Loss_D: -0.019634 Loss_G: -0.008786 Loss_D_real: 0.002729 Loss_D_fake 0.022362
[1246/5000][460/535][128566] Loss_D: -0.020099 Loss_G: 0.010307 Loss_D_real: -0.018477 Loss_D_fake 0.001621
[1246/5000][465/535][128567] Loss_D: -0.020459 Loss_G: 0.025377 Loss_D_real: -0.024233 Loss_D_fake -0.003774
[1246/5000][470/535][128568] Loss_D: -0.019258 Loss_G: 0.017339 Loss_D_real: -0.021475 Loss_D_fake -0.002217
[1246/5000][475/535][128569] Loss_D: -0.021036 Loss_G: 0.010343 Loss_D_real: -0.027042 Loss_D_fake -0.006006
[1246/5000][480/535][128570] Loss_D: -0.019258 Loss_G: -0.001573 Loss_D_real: -0.025806 Loss_D_fake -0.006548
[1246/5000][485/535][128571] Loss_D: -0.020455 Loss_G: 0.005191 Loss_D_real: -0.026727 Loss_D_fake -0.006272
[1246/5000][490/535][128572] Loss_D: -0.019499 Loss_G: 0.012133 Loss_D_real: -0.017662 Loss_D_fake 0.001836
[1246/5000][495/535][128573] Loss_D: -0.021779 Loss_G: -0.011928 Loss_D_real: -0.008284 Loss_D_fake 0.013495
[1246/5000][500/535][128574] Loss_D: -0.020372 Loss_G: 0.010508 Loss_D_real: -0.028653 Loss_D_fake -0.008282
[1246/5000][505/535][128575] Loss_D: -0.020316 Loss_G: -0.000382 Loss_D_real: -0.014171 Loss_D_fake 0.006145
[1246/5000][510/535][128576] Loss_D: -0.020783 Loss_G: 0.022909 Loss_D_real: -0.028229 Loss_D_fake -0.007447
[1246/5000][515/535][128577] Loss_D: -0.021160 Loss_G: 0.003491 Loss_D_real: -0.009974 Loss_D_fake 0.011186
[1246/5000][520/535][128578] Loss_D: -0.021009 Loss_G: 0.002290 Loss_D_real: -0.028204 Loss_D_fake -0.007195
[1246/5000][525/535][128579] Loss_D: -0.019456 Loss_G: 0.015186 Loss_D_real: -0.026892 Loss_D_fake -0.007436
[1246/5000][530/535][128580] Loss_D: -0.019615 Loss_G: 0.003510 Loss_D_real: -0.018442 Loss_D_fake 0.001173
[1246/5000][535/535][128581] Loss_D: -0.020787 Loss_G: 0.015069 Loss_D_real: -0.015248 Loss_D_fake 0.005539
[1247/5000][5/535][128582] Loss_D: -0.018822 Loss_G: -0.018260 Loss_D_real: 0.004847 Loss_D_fake 0.023668
[1247/5000][10/535][128583] Loss_D: -0.019825 Loss_G: 0.010408 Loss_D_real: -0.015193 Loss_D_fake 0.004632
[1247/5000][15/535][128584] Loss_D: -0.020055 Loss_G: 0.002421 Loss_D_real: -0.022981 Loss_D_fake -0.002926
[1247/5000][20/535][128585] Loss_D: -0.020587 Loss_G: 0.003334 Loss_D_real: -0.003883 Loss_D_fake 0.016704
[1247/5000][25/535][128586] Loss_D: -0.019207 Loss_G: 0.017448 Loss_D_real: -0.024719 Loss_D_fake -0.005512
[1247/5000][30/535][128587] Loss_D: -0.020131 Loss_G: -0.001164 Loss_D_real: -0.021310 Loss_D_fake -0.001179
[1247/5000][35/535][128588] Loss_D: -0.019757 Loss_G: -0.014040 Loss_D_real: 0.005378 Loss_D_fake 0.025136
[1247/5000][40/535][128589] Loss_D: -0.020255 Loss_G: 0.001584 Loss_D_real: -0.013772 Loss_D_fake 0.006483
[1247/5000][45/535][128590] Loss_D: -0.021114 Loss_G: -0.001367 Loss_D_real: -0.004742 Loss_D_fake 0.016372
[1247/5000][50/535][128591] Loss_D: -0.021626 Loss_G: 0.001040 Loss_D_real: -0.015571 Loss_D_fake 0.006055
[1247/5000][55/535][128592] Loss_D: -0.018999 Loss_G: 0.019819 Loss_D_real: -0.025417 Loss_D_fake -0.006419
[1247/5000][60/535][128593] Loss_D: -0.019352 Loss_G: -0.000424 Loss_D_real: -0.011821 Loss_D_fake 0.007531
[1247/5000][65/535][128594] Loss_D: -0.018181 Loss_G: 0.010608 Loss_D_real: -0.029475 Loss_D_fake -0.011294
[1247/5000][70/535][128595] Loss_D: -0.020076 Loss_G: 0.009392 Loss_D_real: -0.022373 Loss_D_fake -0.002297
[1247/5000][75/535][128596] Loss_D: -0.019276 Loss_G: 0.018123 Loss_D_real: -0.035043 Loss_D_fake -0.015767
[1247/5000][80/535][128597] Loss_D: -0.020766 Loss_G: 0.017792 Loss_D_real: -0.025365 Loss_D_fake -0.004600
[1247/5000][85/535][128598] Loss_D: -0.021347 Loss_G: -0.002674 Loss_D_real: -0.018553 Loss_D_fake 0.002794
[1247/5000][90/535][128599] Loss_D: -0.020497 Loss_G: 0.017353 Loss_D_real: -0.005935 Loss_D_fake 0.014562
[1247/5000][95/535][128600] Loss_D: -0.020512 Loss_G: 0.008082 Loss_D_real: -0.014571 Loss_D_fake 0.005941
[1247/5000][100/535][128601] Loss_D: -0.019947 Loss_G: 0.015619 Loss_D_real: -0.033261 Loss_D_fake -0.013314
[1247/5000][105/535][128602] Loss_D: -0.020585 Loss_G: 0.012526 Loss_D_real: -0.026709 Loss_D_fake -0.006124
[1247/5000][110/535][128603] Loss_D: -0.019980 Loss_G: 0.008634 Loss_D_real: -0.013675 Loss_D_fake 0.006305
[1247/5000][115/535][128604] Loss_D: -0.017992 Loss_G: -0.016215 Loss_D_real: 0.000377 Loss_D_fake 0.018369
[1247/5000][120/535][128605] Loss_D: -0.020224 Loss_G: 0.003457 Loss_D_real: -0.015730 Loss_D_fake 0.004494
[1247/5000][125/535][128606] Loss_D: -0.019654 Loss_G: 0.009083 Loss_D_real: -0.022920 Loss_D_fake -0.003266
[1247/5000][130/535][128607] Loss_D: -0.019719 Loss_G: 0.003108 Loss_D_real: -0.013496 Loss_D_fake 0.006223
[1247/5000][135/535][128608] Loss_D: -0.019687 Loss_G: 0.003986 Loss_D_real: -0.021861 Loss_D_fake -0.002174
[1247/5000][140/535][128609] Loss_D: -0.019301 Loss_G: 0.007990 Loss_D_real: -0.018752 Loss_D_fake 0.000549
[1247/5000][145/535][128610] Loss_D: -0.019881 Loss_G: -0.017027 Loss_D_real: 0.005020 Loss_D_fake 0.024901
[1247/5000][150/535][128611] Loss_D: -0.018464 Loss_G: 0.001522 Loss_D_real: -0.020371 Loss_D_fake -0.001907
[1247/5000][155/535][128612] Loss_D: -0.019729 Loss_G: 0.015574 Loss_D_real: -0.022050 Loss_D_fake -0.002321
[1247/5000][160/535][128613] Loss_D: -0.020178 Loss_G: -0.002422 Loss_D_real: -0.007224 Loss_D_fake 0.012954
[1247/5000][165/535][128614] Loss_D: -0.019383 Loss_G: -0.000454 Loss_D_real: -0.015410 Loss_D_fake 0.003973
[1247/5000][170/535][128615] Loss_D: -0.018703 Loss_G: 0.001963 Loss_D_real: -0.005663 Loss_D_fake 0.013040
[1247/5000][175/535][128616] Loss_D: -0.021022 Loss_G: 0.004473 Loss_D_real: -0.012028 Loss_D_fake 0.008994
[1247/5000][180/535][128617] Loss_D: -0.019827 Loss_G: 0.007929 Loss_D_real: -0.018505 Loss_D_fake 0.001322
[1247/5000][185/535][128618] Loss_D: -0.019376 Loss_G: -0.001015 Loss_D_real: -0.021129 Loss_D_fake -0.001754
[1247/5000][190/535][128619] Loss_D: -0.019571 Loss_G: 0.022956 Loss_D_real: -0.026022 Loss_D_fake -0.006451
[1247/5000][195/535][128620] Loss_D: -0.020459 Loss_G: 0.017795 Loss_D_real: -0.023901 Loss_D_fake -0.003442
[1247/5000][200/535][128621] Loss_D: -0.020363 Loss_G: -0.006523 Loss_D_real: -0.011923 Loss_D_fake 0.008440
[1247/5000][205/535][128622] Loss_D: -0.019693 Loss_G: -0.007934 Loss_D_real: -0.012735 Loss_D_fake 0.006958
[1247/5000][210/535][128623] Loss_D: -0.019643 Loss_G: 0.028705 Loss_D_real: -0.018500 Loss_D_fake 0.001143
[1247/5000][215/535][128624] Loss_D: -0.020613 Loss_G: 0.002549 Loss_D_real: -0.017429 Loss_D_fake 0.003184
[1247/5000][220/535][128625] Loss_D: -0.018892 Loss_G: 0.020610 Loss_D_real: -0.036247 Loss_D_fake -0.017354
[1247/5000][225/535][128626] Loss_D: -0.019980 Loss_G: 0.002930 Loss_D_real: -0.016327 Loss_D_fake 0.003653
[1247/5000][230/535][128627] Loss_D: -0.020897 Loss_G: 0.011492 Loss_D_real: -0.016741 Loss_D_fake 0.004157
[1247/5000][235/535][128628] Loss_D: -0.018638 Loss_G: -0.019611 Loss_D_real: 0.001098 Loss_D_fake 0.019736
[1247/5000][240/535][128629] Loss_D: -0.018892 Loss_G: 0.006781 Loss_D_real: -0.007894 Loss_D_fake 0.010998
[1247/5000][245/535][128630] Loss_D: -0.019824 Loss_G: -0.003359 Loss_D_real: -0.014084 Loss_D_fake 0.005740
[1247/5000][250/535][128631] Loss_D: -0.020200 Loss_G: -0.011716 Loss_D_real: -0.002360 Loss_D_fake 0.017840
[1247/5000][255/535][128632] Loss_D: -0.020679 Loss_G: 0.025177 Loss_D_real: -0.022070 Loss_D_fake -0.001390
[1247/5000][260/535][128633] Loss_D: -0.020969 Loss_G: 0.010743 Loss_D_real: -0.021801 Loss_D_fake -0.000832
[1247/5000][265/535][128634] Loss_D: -0.020338 Loss_G: 0.002161 Loss_D_real: -0.013294 Loss_D_fake 0.007044
[1247/5000][270/535][128635] Loss_D: -0.019699 Loss_G: 0.004829 Loss_D_real: -0.021922 Loss_D_fake -0.002222
[1247/5000][275/535][128636] Loss_D: -0.020770 Loss_G: -0.011635 Loss_D_real: -0.009842 Loss_D_fake 0.010929
[1247/5000][280/535][128637] Loss_D: -0.020007 Loss_G: 0.007926 Loss_D_real: -0.009621 Loss_D_fake 0.010386
[1247/5000][285/535][128638] Loss_D: -0.019502 Loss_G: -0.008586 Loss_D_real: 0.002396 Loss_D_fake 0.021897
[1247/5000][290/535][128639] Loss_D: -0.019938 Loss_G: 0.013094 Loss_D_real: -0.021517 Loss_D_fake -0.001579
[1247/5000][295/535][128640] Loss_D: -0.021315 Loss_G: 0.011691 Loss_D_real: -0.018763 Loss_D_fake 0.002552
[1247/5000][300/535][128641] Loss_D: -0.020918 Loss_G: 0.000879 Loss_D_real: -0.027358 Loss_D_fake -0.006439
[1247/5000][305/535][128642] Loss_D: -0.021254 Loss_G: 0.004147 Loss_D_real: -0.018096 Loss_D_fake 0.003158
[1247/5000][310/535][128643] Loss_D: -0.022048 Loss_G: -0.005542 Loss_D_real: -0.011848 Loss_D_fake 0.010200
[1247/5000][315/535][128644] Loss_D: -0.019280 Loss_G: 0.022014 Loss_D_real: -0.021861 Loss_D_fake -0.002581
[1247/5000][320/535][128645] Loss_D: -0.019898 Loss_G: -0.000847 Loss_D_real: -0.018143 Loss_D_fake 0.001755
[1247/5000][325/535][128646] Loss_D: -0.020163 Loss_G: 0.011029 Loss_D_real: -0.021711 Loss_D_fake -0.001548
[1247/5000][330/535][128647] Loss_D: -0.020863 Loss_G: -0.004702 Loss_D_real: -0.007952 Loss_D_fake 0.012910
[1247/5000][335/535][128648] Loss_D: -0.019899 Loss_G: -0.003127 Loss_D_real: 0.003769 Loss_D_fake 0.023668
[1247/5000][340/535][128649] Loss_D: -0.022507 Loss_G: 0.008741 Loss_D_real: -0.015275 Loss_D_fake 0.007231
[1247/5000][345/535][128650] Loss_D: -0.021129 Loss_G: 0.001511 Loss_D_real: -0.016375 Loss_D_fake 0.004754
[1247/5000][350/535][128651] Loss_D: -0.020137 Loss_G: 0.011370 Loss_D_real: -0.010285 Loss_D_fake 0.009852
[1247/5000][355/535][128652] Loss_D: -0.020384 Loss_G: 0.017635 Loss_D_real: -0.006165 Loss_D_fake 0.014218
[1247/5000][360/535][128653] Loss_D: -0.020267 Loss_G: -0.000406 Loss_D_real: -0.010092 Loss_D_fake 0.010175
[1247/5000][365/535][128654] Loss_D: -0.019575 Loss_G: -0.000378 Loss_D_real: -0.020373 Loss_D_fake -0.000798
[1247/5000][370/535][128655] Loss_D: -0.019525 Loss_G: -0.009327 Loss_D_real: 0.005590 Loss_D_fake 0.025116
[1247/5000][375/535][128656] Loss_D: -0.019750 Loss_G: 0.001875 Loss_D_real: -0.004017 Loss_D_fake 0.015732
[1247/5000][380/535][128657] Loss_D: -0.020090 Loss_G: 0.017994 Loss_D_real: -0.022934 Loss_D_fake -0.002844
[1247/5000][385/535][128658] Loss_D: -0.020188 Loss_G: 0.003233 Loss_D_real: -0.013874 Loss_D_fake 0.006314
[1247/5000][390/535][128659] Loss_D: -0.020121 Loss_G: 0.013954 Loss_D_real: -0.022856 Loss_D_fake -0.002735
[1247/5000][395/535][128660] Loss_D: -0.022313 Loss_G: 0.018316 Loss_D_real: -0.021577 Loss_D_fake 0.000736
[1247/5000][400/535][128661] Loss_D: -0.020271 Loss_G: -0.004214 Loss_D_real: -0.009837 Loss_D_fake 0.010434
[1247/5000][405/535][128662] Loss_D: -0.019731 Loss_G: 0.003866 Loss_D_real: -0.009255 Loss_D_fake 0.010476
[1247/5000][410/535][128663] Loss_D: -0.021587 Loss_G: -0.006926 Loss_D_real: -0.011646 Loss_D_fake 0.009941
[1247/5000][415/535][128664] Loss_D: -0.020875 Loss_G: 0.023499 Loss_D_real: -0.018499 Loss_D_fake 0.002376
[1247/5000][420/535][128665] Loss_D: -0.019094 Loss_G: 0.009850 Loss_D_real: -0.032407 Loss_D_fake -0.013314
[1247/5000][425/535][128666] Loss_D: -0.020228 Loss_G: -0.015628 Loss_D_real: -0.009446 Loss_D_fake 0.010782
[1247/5000][430/535][128667] Loss_D: -0.019384 Loss_G: 0.008109 Loss_D_real: -0.024709 Loss_D_fake -0.005325
[1247/5000][435/535][128668] Loss_D: -0.020322 Loss_G: -0.000633 Loss_D_real: -0.011241 Loss_D_fake 0.009081
[1247/5000][440/535][128669] Loss_D: -0.018939 Loss_G: 0.024413 Loss_D_real: -0.032313 Loss_D_fake -0.013373
[1247/5000][445/535][128670] Loss_D: -0.018815 Loss_G: 0.025831 Loss_D_real: -0.023473 Loss_D_fake -0.004658
[1247/5000][450/535][128671] Loss_D: -0.020985 Loss_G: 0.001176 Loss_D_real: -0.009247 Loss_D_fake 0.011738
[1247/5000][455/535][128672] Loss_D: -0.020672 Loss_G: 0.021267 Loss_D_real: -0.021501 Loss_D_fake -0.000828
[1247/5000][460/535][128673] Loss_D: -0.021015 Loss_G: 0.017595 Loss_D_real: -0.018138 Loss_D_fake 0.002877
[1247/5000][465/535][128674] Loss_D: -0.019463 Loss_G: 0.003059 Loss_D_real: -0.018824 Loss_D_fake 0.000638
[1247/5000][470/535][128675] Loss_D: -0.019870 Loss_G: 0.021282 Loss_D_real: -0.033306 Loss_D_fake -0.013436
[1247/5000][475/535][128676] Loss_D: -0.020210 Loss_G: 0.003100 Loss_D_real: -0.016834 Loss_D_fake 0.003376
[1247/5000][480/535][128677] Loss_D: -0.020348 Loss_G: -0.009134 Loss_D_real: 0.001036 Loss_D_fake 0.021384
[1247/5000][485/535][128678] Loss_D: -0.020535 Loss_G: 0.015660 Loss_D_real: -0.024328 Loss_D_fake -0.003793
[1247/5000][490/535][128679] Loss_D: -0.020718 Loss_G: -0.010175 Loss_D_real: -0.007595 Loss_D_fake 0.013124
[1247/5000][495/535][128680] Loss_D: -0.019259 Loss_G: 0.018289 Loss_D_real: -0.023193 Loss_D_fake -0.003934
[1247/5000][500/535][128681] Loss_D: -0.020430 Loss_G: 0.010722 Loss_D_real: -0.023652 Loss_D_fake -0.003221
[1247/5000][505/535][128682] Loss_D: -0.019302 Loss_G: 0.010404 Loss_D_real: -0.031120 Loss_D_fake -0.011818
[1247/5000][510/535][128683] Loss_D: -0.020547 Loss_G: 0.004941 Loss_D_real: -0.019474 Loss_D_fake 0.001074
[1247/5000][515/535][128684] Loss_D: -0.020189 Loss_G: 0.014280 Loss_D_real: -0.024462 Loss_D_fake -0.004272
[1247/5000][520/535][128685] Loss_D: -0.019701 Loss_G: -0.010461 Loss_D_real: -0.011406 Loss_D_fake 0.008295
[1247/5000][525/535][128686] Loss_D: -0.019713 Loss_G: 0.003811 Loss_D_real: -0.014717 Loss_D_fake 0.004996
[1247/5000][530/535][128687] Loss_D: -0.019214 Loss_G: 0.012805 Loss_D_real: -0.026349 Loss_D_fake -0.007135
[1247/5000][535/535][128688] Loss_D: -0.020216 Loss_G: 0.010236 Loss_D_real: -0.013516 Loss_D_fake 0.006700
[1248/5000][5/535][128689] Loss_D: -0.019970 Loss_G: -0.004800 Loss_D_real: -0.010233 Loss_D_fake 0.009737
[1248/5000][10/535][128690] Loss_D: -0.020762 Loss_G: 0.008774 Loss_D_real: -0.026105 Loss_D_fake -0.005343
[1248/5000][15/535][128691] Loss_D: -0.020628 Loss_G: 0.008347 Loss_D_real: -0.024179 Loss_D_fake -0.003551
[1248/5000][20/535][128692] Loss_D: -0.019852 Loss_G: 0.008737 Loss_D_real: -0.025461 Loss_D_fake -0.005610
[1248/5000][25/535][128693] Loss_D: -0.019485 Loss_G: 0.011323 Loss_D_real: -0.029788 Loss_D_fake -0.010303
[1248/5000][30/535][128694] Loss_D: -0.020942 Loss_G: -0.018208 Loss_D_real: -0.002932 Loss_D_fake 0.018010
[1248/5000][35/535][128695] Loss_D: -0.019818 Loss_G: 0.016224 Loss_D_real: -0.030535 Loss_D_fake -0.010717
[1248/5000][40/535][128696] Loss_D: -0.018090 Loss_G: -0.005584 Loss_D_real: -0.008475 Loss_D_fake 0.009615
[1248/5000][45/535][128697] Loss_D: -0.018809 Loss_G: 0.001311 Loss_D_real: -0.005533 Loss_D_fake 0.013276
[1248/5000][50/535][128698] Loss_D: -0.019063 Loss_G: -0.003500 Loss_D_real: -0.008211 Loss_D_fake 0.010851
[1248/5000][55/535][128699] Loss_D: -0.020906 Loss_G: 0.009348 Loss_D_real: -0.016459 Loss_D_fake 0.004447
[1248/5000][60/535][128700] Loss_D: -0.019050 Loss_G: 0.023161 Loss_D_real: -0.028477 Loss_D_fake -0.009427
[1248/5000][65/535][128701] Loss_D: -0.019811 Loss_G: 0.003140 Loss_D_real: -0.007687 Loss_D_fake 0.012124
[1248/5000][70/535][128702] Loss_D: -0.020070 Loss_G: 0.000860 Loss_D_real: -0.009512 Loss_D_fake 0.010558
[1248/5000][75/535][128703] Loss_D: -0.018449 Loss_G: 0.025243 Loss_D_real: -0.016086 Loss_D_fake 0.002362
[1248/5000][80/535][128704] Loss_D: -0.018769 Loss_G: -0.019649 Loss_D_real: 0.006886 Loss_D_fake 0.025656
[1248/5000][85/535][128705] Loss_D: -0.019434 Loss_G: 0.002012 Loss_D_real: -0.022353 Loss_D_fake -0.002919
[1248/5000][90/535][128706] Loss_D: -0.020207 Loss_G: -0.006040 Loss_D_real: -0.007464 Loss_D_fake 0.012743
[1248/5000][95/535][128707] Loss_D: -0.019900 Loss_G: 0.010240 Loss_D_real: -0.018397 Loss_D_fake 0.001503
[1248/5000][100/535][128708] Loss_D: -0.019519 Loss_G: 0.003963 Loss_D_real: -0.020427 Loss_D_fake -0.000908
[1248/5000][105/535][128709] Loss_D: -0.019451 Loss_G: 0.016302 Loss_D_real: -0.024333 Loss_D_fake -0.004882
[1248/5000][110/535][128710] Loss_D: -0.019237 Loss_G: -0.001650 Loss_D_real: -0.010612 Loss_D_fake 0.008625
[1248/5000][115/535][128711] Loss_D: -0.020707 Loss_G: 0.016414 Loss_D_real: -0.029920 Loss_D_fake -0.009214
[1248/5000][120/535][128712] Loss_D: -0.019240 Loss_G: -0.001346 Loss_D_real: -0.013708 Loss_D_fake 0.005532
[1248/5000][125/535][128713] Loss_D: -0.020225 Loss_G: 0.006107 Loss_D_real: -0.020833 Loss_D_fake -0.000608
[1248/5000][130/535][128714] Loss_D: -0.020334 Loss_G: -0.009448 Loss_D_real: -0.018464 Loss_D_fake 0.001871
[1248/5000][135/535][128715] Loss_D: -0.020751 Loss_G: 0.031572 Loss_D_real: -0.025889 Loss_D_fake -0.005138
[1248/5000][140/535][128716] Loss_D: -0.020617 Loss_G: 0.017731 Loss_D_real: -0.028421 Loss_D_fake -0.007803
[1248/5000][145/535][128717] Loss_D: -0.020753 Loss_G: -0.011753 Loss_D_real: -0.016464 Loss_D_fake 0.004289
[1248/5000][150/535][128718] Loss_D: -0.019114 Loss_G: 0.021914 Loss_D_real: -0.020249 Loss_D_fake -0.001135
[1248/5000][155/535][128719] Loss_D: -0.020329 Loss_G: -0.005904 Loss_D_real: 0.004108 Loss_D_fake 0.024437
[1248/5000][160/535][128720] Loss_D: -0.019158 Loss_G: 0.000005 Loss_D_real: -0.021061 Loss_D_fake -0.001904
[1248/5000][165/535][128721] Loss_D: -0.019296 Loss_G: 0.013037 Loss_D_real: -0.023440 Loss_D_fake -0.004144
[1248/5000][170/535][128722] Loss_D: -0.020027 Loss_G: -0.004161 Loss_D_real: -0.021463 Loss_D_fake -0.001435
[1248/5000][175/535][128723] Loss_D: -0.020232 Loss_G: 0.029157 Loss_D_real: -0.030575 Loss_D_fake -0.010343
[1248/5000][180/535][128724] Loss_D: -0.020104 Loss_G: 0.005614 Loss_D_real: -0.025766 Loss_D_fake -0.005662
[1248/5000][185/535][128725] Loss_D: -0.020315 Loss_G: 0.008786 Loss_D_real: -0.008501 Loss_D_fake 0.011813
[1248/5000][190/535][128726] Loss_D: -0.018919 Loss_G: 0.003318 Loss_D_real: -0.008238 Loss_D_fake 0.010681
[1248/5000][195/535][128727] Loss_D: -0.019691 Loss_G: 0.024542 Loss_D_real: -0.035545 Loss_D_fake -0.015854
[1248/5000][200/535][128728] Loss_D: -0.020229 Loss_G: 0.019778 Loss_D_real: -0.030018 Loss_D_fake -0.009789
[1248/5000][205/535][128729] Loss_D: -0.021666 Loss_G: 0.012276 Loss_D_real: -0.015968 Loss_D_fake 0.005697
[1248/5000][210/535][128730] Loss_D: -0.021409 Loss_G: 0.001037 Loss_D_real: -0.013344 Loss_D_fake 0.008065
[1248/5000][215/535][128731] Loss_D: -0.020960 Loss_G: 0.009325 Loss_D_real: -0.023183 Loss_D_fake -0.002223
[1248/5000][220/535][128732] Loss_D: -0.018368 Loss_G: 0.033826 Loss_D_real: -0.033776 Loss_D_fake -0.015408
[1248/5000][225/535][128733] Loss_D: -0.020304 Loss_G: -0.008199 Loss_D_real: -0.016133 Loss_D_fake 0.004171
[1248/5000][230/535][128734] Loss_D: -0.020074 Loss_G: 0.007356 Loss_D_real: -0.017339 Loss_D_fake 0.002735
[1248/5000][235/535][128735] Loss_D: -0.021259 Loss_G: 0.015704 Loss_D_real: -0.014071 Loss_D_fake 0.007188
[1248/5000][240/535][128736] Loss_D: -0.019901 Loss_G: 0.027094 Loss_D_real: -0.023143 Loss_D_fake -0.003242
[1248/5000][245/535][128737] Loss_D: -0.020920 Loss_G: -0.005010 Loss_D_real: -0.016822 Loss_D_fake 0.004099
[1248/5000][250/535][128738] Loss_D: -0.019935 Loss_G: -0.006827 Loss_D_real: -0.002845 Loss_D_fake 0.017090
[1248/5000][255/535][128739] Loss_D: -0.019996 Loss_G: 0.003183 Loss_D_real: -0.012124 Loss_D_fake 0.007871
[1248/5000][260/535][128740] Loss_D: -0.020104 Loss_G: 0.018337 Loss_D_real: -0.018010 Loss_D_fake 0.002094
[1248/5000][265/535][128741] Loss_D: -0.019165 Loss_G: 0.007949 Loss_D_real: -0.026639 Loss_D_fake -0.007474
[1248/5000][270/535][128742] Loss_D: -0.019833 Loss_G: -0.000447 Loss_D_real: -0.014493 Loss_D_fake 0.005341
[1248/5000][275/535][128743] Loss_D: -0.020311 Loss_G: 0.004199 Loss_D_real: -0.020700 Loss_D_fake -0.000389
[1248/5000][280/535][128744] Loss_D: -0.020283 Loss_G: 0.004191 Loss_D_real: -0.018921 Loss_D_fake 0.001362
[1248/5000][285/535][128745] Loss_D: -0.020698 Loss_G: 0.000959 Loss_D_real: -0.011672 Loss_D_fake 0.009026
[1248/5000][290/535][128746] Loss_D: -0.018984 Loss_G: 0.029025 Loss_D_real: -0.034161 Loss_D_fake -0.015178
[1248/5000][295/535][128747] Loss_D: -0.019981 Loss_G: -0.007229 Loss_D_real: -0.008473 Loss_D_fake 0.011508
[1248/5000][300/535][128748] Loss_D: -0.019839 Loss_G: 0.006384 Loss_D_real: -0.021227 Loss_D_fake -0.001388
[1248/5000][305/535][128749] Loss_D: -0.019755 Loss_G: 0.009091 Loss_D_real: -0.018032 Loss_D_fake 0.001723
[1248/5000][310/535][128750] Loss_D: -0.020750 Loss_G: 0.003448 Loss_D_real: -0.018811 Loss_D_fake 0.001939
[1248/5000][315/535][128751] Loss_D: -0.021750 Loss_G: 0.014088 Loss_D_real: -0.020815 Loss_D_fake 0.000934
[1248/5000][320/535][128752] Loss_D: -0.020048 Loss_G: 0.005900 Loss_D_real: -0.017678 Loss_D_fake 0.002370
[1248/5000][325/535][128753] Loss_D: -0.020623 Loss_G: 0.013825 Loss_D_real: -0.030911 Loss_D_fake -0.010288
[1248/5000][330/535][128754] Loss_D: -0.019464 Loss_G: 0.001797 Loss_D_real: -0.015603 Loss_D_fake 0.003861
[1248/5000][335/535][128755] Loss_D: -0.018450 Loss_G: -0.003025 Loss_D_real: -0.016438 Loss_D_fake 0.002012
[1248/5000][340/535][128756] Loss_D: -0.019386 Loss_G: -0.004107 Loss_D_real: -0.020887 Loss_D_fake -0.001501
[1248/5000][345/535][128757] Loss_D: -0.019998 Loss_G: 0.026687 Loss_D_real: -0.024809 Loss_D_fake -0.004811
[1248/5000][350/535][128758] Loss_D: -0.019596 Loss_G: 0.014210 Loss_D_real: -0.022350 Loss_D_fake -0.002754
[1248/5000][355/535][128759] Loss_D: -0.020346 Loss_G: 0.003911 Loss_D_real: -0.014014 Loss_D_fake 0.006333
[1248/5000][360/535][128760] Loss_D: -0.019833 Loss_G: 0.002345 Loss_D_real: -0.026919 Loss_D_fake -0.007087
[1248/5000][365/535][128761] Loss_D: -0.019004 Loss_G: 0.020613 Loss_D_real: -0.025156 Loss_D_fake -0.006151
[1248/5000][370/535][128762] Loss_D: -0.021092 Loss_G: 0.008512 Loss_D_real: -0.014029 Loss_D_fake 0.007063
[1248/5000][375/535][128763] Loss_D: -0.020164 Loss_G: 0.018151 Loss_D_real: -0.019024 Loss_D_fake 0.001140
[1248/5000][380/535][128764] Loss_D: -0.020009 Loss_G: 0.013935 Loss_D_real: -0.012568 Loss_D_fake 0.007440
[1248/5000][385/535][128765] Loss_D: -0.020203 Loss_G: -0.000054 Loss_D_real: -0.009733 Loss_D_fake 0.010471
[1248/5000][390/535][128766] Loss_D: -0.021957 Loss_G: 0.004984 Loss_D_real: -0.017283 Loss_D_fake 0.004674
[1248/5000][395/535][128767] Loss_D: -0.020294 Loss_G: 0.011720 Loss_D_real: -0.020673 Loss_D_fake -0.000380
[1248/5000][400/535][128768] Loss_D: -0.019262 Loss_G: -0.012638 Loss_D_real: 0.005291 Loss_D_fake 0.024553
[1248/5000][405/535][128769] Loss_D: -0.020405 Loss_G: 0.012924 Loss_D_real: -0.022410 Loss_D_fake -0.002004
[1248/5000][410/535][128770] Loss_D: -0.021120 Loss_G: -0.004363 Loss_D_real: -0.013682 Loss_D_fake 0.007438
[1248/5000][415/535][128771] Loss_D: -0.020734 Loss_G: 0.016843 Loss_D_real: -0.022258 Loss_D_fake -0.001524
[1248/5000][420/535][128772] Loss_D: -0.021112 Loss_G: 0.002252 Loss_D_real: -0.014778 Loss_D_fake 0.006334
[1248/5000][425/535][128773] Loss_D: -0.019902 Loss_G: -0.000344 Loss_D_real: -0.011341 Loss_D_fake 0.008562
[1248/5000][430/535][128774] Loss_D: -0.019950 Loss_G: 0.024377 Loss_D_real: -0.034556 Loss_D_fake -0.014606
[1248/5000][435/535][128775] Loss_D: -0.021185 Loss_G: -0.002834 Loss_D_real: -0.019353 Loss_D_fake 0.001832
[1248/5000][440/535][128776] Loss_D: -0.018830 Loss_G: 0.019692 Loss_D_real: -0.032560 Loss_D_fake -0.013730
[1248/5000][445/535][128777] Loss_D: -0.019551 Loss_G: 0.015234 Loss_D_real: -0.033015 Loss_D_fake -0.013464
[1248/5000][450/535][128778] Loss_D: -0.019766 Loss_G: 0.018195 Loss_D_real: -0.023265 Loss_D_fake -0.003499
[1248/5000][455/535][128779] Loss_D: -0.021552 Loss_G: 0.013290 Loss_D_real: -0.019449 Loss_D_fake 0.002103
[1248/5000][460/535][128780] Loss_D: -0.020418 Loss_G: 0.005778 Loss_D_real: -0.028821 Loss_D_fake -0.008402
[1248/5000][465/535][128781] Loss_D: -0.020145 Loss_G: 0.025917 Loss_D_real: -0.024342 Loss_D_fake -0.004197
[1248/5000][470/535][128782] Loss_D: -0.021324 Loss_G: 0.003286 Loss_D_real: -0.018025 Loss_D_fake 0.003299
[1248/5000][475/535][128783] Loss_D: -0.018539 Loss_G: 0.003594 Loss_D_real: -0.019282 Loss_D_fake -0.000743
[1248/5000][480/535][128784] Loss_D: -0.020429 Loss_G: -0.005583 Loss_D_real: -0.026569 Loss_D_fake -0.006140
[1248/5000][485/535][128785] Loss_D: -0.019521 Loss_G: 0.017402 Loss_D_real: -0.022878 Loss_D_fake -0.003357
[1248/5000][490/535][128786] Loss_D: -0.018605 Loss_G: 0.022287 Loss_D_real: -0.020201 Loss_D_fake -0.001596
[1248/5000][495/535][128787] Loss_D: -0.020124 Loss_G: -0.005689 Loss_D_real: -0.018388 Loss_D_fake 0.001735
[1248/5000][500/535][128788] Loss_D: -0.020130 Loss_G: -0.002789 Loss_D_real: -0.002738 Loss_D_fake 0.017391
[1248/5000][505/535][128789] Loss_D: -0.021230 Loss_G: 0.004468 Loss_D_real: -0.018600 Loss_D_fake 0.002630
[1248/5000][510/535][128790] Loss_D: -0.020204 Loss_G: 0.014575 Loss_D_real: -0.025130 Loss_D_fake -0.004926
[1248/5000][515/535][128791] Loss_D: -0.019906 Loss_G: -0.015107 Loss_D_real: -0.003501 Loss_D_fake 0.016405
[1248/5000][520/535][128792] Loss_D: -0.021521 Loss_G: 0.024304 Loss_D_real: -0.016285 Loss_D_fake 0.005237
[1248/5000][525/535][128793] Loss_D: -0.019680 Loss_G: 0.006296 Loss_D_real: -0.019897 Loss_D_fake -0.000217
[1248/5000][530/535][128794] Loss_D: -0.020342 Loss_G: 0.016783 Loss_D_real: -0.032833 Loss_D_fake -0.012490
[1248/5000][535/535][128795] Loss_D: -0.022447 Loss_G: 0.001344 Loss_D_real: -0.025492 Loss_D_fake -0.003046
[1249/5000][5/535][128796] Loss_D: -0.021809 Loss_G: 0.006228 Loss_D_real: -0.017818 Loss_D_fake 0.003991
[1249/5000][10/535][128797] Loss_D: -0.018083 Loss_G: -0.009613 Loss_D_real: -0.013318 Loss_D_fake 0.004765
[1249/5000][15/535][128798] Loss_D: -0.020805 Loss_G: 0.018556 Loss_D_real: -0.017425 Loss_D_fake 0.003379
[1249/5000][20/535][128799] Loss_D: -0.019526 Loss_G: 0.015724 Loss_D_real: -0.020980 Loss_D_fake -0.001454
[1249/5000][25/535][128800] Loss_D: -0.018586 Loss_G: -0.025546 Loss_D_real: -0.004690 Loss_D_fake 0.013896
[1249/5000][30/535][128801] Loss_D: -0.020840 Loss_G: 0.005752 Loss_D_real: -0.023201 Loss_D_fake -0.002361
[1249/5000][35/535][128802] Loss_D: -0.020888 Loss_G: 0.016822 Loss_D_real: -0.019645 Loss_D_fake 0.001243
[1249/5000][40/535][128803] Loss_D: -0.020651 Loss_G: 0.008626 Loss_D_real: -0.019743 Loss_D_fake 0.000908
[1249/5000][45/535][128804] Loss_D: -0.019718 Loss_G: 0.012703 Loss_D_real: -0.026465 Loss_D_fake -0.006748
[1249/5000][50/535][128805] Loss_D: -0.019603 Loss_G: -0.005747 Loss_D_real: -0.007034 Loss_D_fake 0.012569
[1249/5000][55/535][128806] Loss_D: -0.020095 Loss_G: 0.015200 Loss_D_real: -0.024850 Loss_D_fake -0.004755
[1249/5000][60/535][128807] Loss_D: -0.020049 Loss_G: 0.004048 Loss_D_real: -0.005999 Loss_D_fake 0.014050
[1249/5000][65/535][128808] Loss_D: -0.020458 Loss_G: 0.023909 Loss_D_real: -0.033470 Loss_D_fake -0.013012
[1249/5000][70/535][128809] Loss_D: -0.019810 Loss_G: 0.010353 Loss_D_real: -0.021566 Loss_D_fake -0.001756
[1249/5000][75/535][128810] Loss_D: -0.019228 Loss_G: 0.024507 Loss_D_real: -0.024125 Loss_D_fake -0.004897
[1249/5000][80/535][128811] Loss_D: -0.019764 Loss_G: 0.006201 Loss_D_real: -0.021706 Loss_D_fake -0.001942
[1249/5000][85/535][128812] Loss_D: -0.020181 Loss_G: -0.007454 Loss_D_real: -0.014565 Loss_D_fake 0.005616
[1249/5000][90/535][128813] Loss_D: -0.018517 Loss_G: 0.019484 Loss_D_real: -0.033686 Loss_D_fake -0.015169
[1249/5000][95/535][128814] Loss_D: -0.020471 Loss_G: 0.006462 Loss_D_real: -0.002150 Loss_D_fake 0.018320
[1249/5000][100/535][128815] Loss_D: -0.020876 Loss_G: -0.003484 Loss_D_real: -0.013399 Loss_D_fake 0.007478
[1249/5000][105/535][128816] Loss_D: -0.021009 Loss_G: 0.005171 Loss_D_real: -0.022275 Loss_D_fake -0.001265
[1249/5000][110/535][128817] Loss_D: -0.019626 Loss_G: -0.013296 Loss_D_real: 0.006321 Loss_D_fake 0.025946
[1249/5000][115/535][128818] Loss_D: -0.020235 Loss_G: 0.008643 Loss_D_real: -0.017931 Loss_D_fake 0.002305
[1249/5000][120/535][128819] Loss_D: -0.018671 Loss_G: -0.008226 Loss_D_real: 0.004759 Loss_D_fake 0.023430
[1249/5000][125/535][128820] Loss_D: -0.019630 Loss_G: 0.002434 Loss_D_real: -0.007215 Loss_D_fake 0.012414
[1249/5000][130/535][128821] Loss_D: -0.018788 Loss_G: -0.010653 Loss_D_real: -0.003322 Loss_D_fake 0.015467
[1249/5000][135/535][128822] Loss_D: -0.020474 Loss_G: 0.004723 Loss_D_real: -0.014253 Loss_D_fake 0.006221
[1249/5000][140/535][128823] Loss_D: -0.021665 Loss_G: 0.011997 Loss_D_real: -0.020917 Loss_D_fake 0.000748
[1249/5000][145/535][128824] Loss_D: -0.020462 Loss_G: 0.009769 Loss_D_real: -0.012435 Loss_D_fake 0.008027
[1249/5000][150/535][128825] Loss_D: -0.019807 Loss_G: 0.008872 Loss_D_real: -0.012322 Loss_D_fake 0.007485
[1249/5000][155/535][128826] Loss_D: -0.020792 Loss_G: 0.007692 Loss_D_real: -0.012418 Loss_D_fake 0.008374
[1249/5000][160/535][128827] Loss_D: -0.020554 Loss_G: -0.003013 Loss_D_real: -0.004129 Loss_D_fake 0.016425
[1249/5000][165/535][128828] Loss_D: -0.021645 Loss_G: 0.001581 Loss_D_real: -0.016623 Loss_D_fake 0.005022
[1249/5000][170/535][128829] Loss_D: -0.020672 Loss_G: 0.017681 Loss_D_real: -0.013962 Loss_D_fake 0.006709
[1249/5000][175/535][128830] Loss_D: -0.021896 Loss_G: 0.016543 Loss_D_real: -0.035388 Loss_D_fake -0.013492
[1249/5000][180/535][128831] Loss_D: -0.022014 Loss_G: 0.017242 Loss_D_real: -0.020400 Loss_D_fake 0.001614
[1249/5000][185/535][128832] Loss_D: -0.020414 Loss_G: -0.003620 Loss_D_real: -0.008249 Loss_D_fake 0.012165
[1249/5000][190/535][128833] Loss_D: -0.020538 Loss_G: -0.004471 Loss_D_real: -0.012696 Loss_D_fake 0.007843
[1249/5000][195/535][128834] Loss_D: -0.021093 Loss_G: 0.002255 Loss_D_real: -0.006193 Loss_D_fake 0.014900
[1249/5000][200/535][128835] Loss_D: -0.018525 Loss_G: -0.004501 Loss_D_real: -0.007387 Loss_D_fake 0.011138
[1249/5000][205/535][128836] Loss_D: -0.020102 Loss_G: 0.020954 Loss_D_real: -0.025828 Loss_D_fake -0.005726
[1249/5000][210/535][128837] Loss_D: -0.018522 Loss_G: -0.019932 Loss_D_real: 0.002891 Loss_D_fake 0.021413
[1249/5000][215/535][128838] Loss_D: -0.018449 Loss_G: 0.017310 Loss_D_real: -0.028645 Loss_D_fake -0.010196
[1249/5000][220/535][128839] Loss_D: -0.020930 Loss_G: -0.001251 Loss_D_real: -0.016335 Loss_D_fake 0.004595
[1249/5000][225/535][128840] Loss_D: -0.019151 Loss_G: 0.009408 Loss_D_real: -0.006453 Loss_D_fake 0.012698
[1249/5000][230/535][128841] Loss_D: -0.019614 Loss_G: 0.000469 Loss_D_real: -0.009922 Loss_D_fake 0.009692
[1249/5000][235/535][128842] Loss_D: -0.020418 Loss_G: 0.013756 Loss_D_real: -0.028046 Loss_D_fake -0.007627
[1249/5000][240/535][128843] Loss_D: -0.020105 Loss_G: 0.009712 Loss_D_real: -0.016364 Loss_D_fake 0.003741
[1249/5000][245/535][128844] Loss_D: -0.020728 Loss_G: -0.006654 Loss_D_real: -0.007931 Loss_D_fake 0.012796
[1249/5000][250/535][128845] Loss_D: -0.019896 Loss_G: 0.002941 Loss_D_real: -0.012059 Loss_D_fake 0.007837
[1249/5000][255/535][128846] Loss_D: -0.021371 Loss_G: 0.014832 Loss_D_real: -0.011732 Loss_D_fake 0.009639
[1249/5000][260/535][128847] Loss_D: -0.020119 Loss_G: 0.006828 Loss_D_real: -0.013700 Loss_D_fake 0.006418
[1249/5000][265/535][128848] Loss_D: -0.020287 Loss_G: 0.014163 Loss_D_real: -0.032620 Loss_D_fake -0.012333
[1249/5000][270/535][128849] Loss_D: -0.020367 Loss_G: 0.014027 Loss_D_real: -0.005110 Loss_D_fake 0.015257
[1249/5000][275/535][128850] Loss_D: -0.019728 Loss_G: 0.011620 Loss_D_real: -0.035321 Loss_D_fake -0.015592
[1249/5000][280/535][128851] Loss_D: -0.020862 Loss_G: 0.018197 Loss_D_real: -0.023039 Loss_D_fake -0.002177
[1249/5000][285/535][128852] Loss_D: -0.020702 Loss_G: 0.003262 Loss_D_real: -0.015090 Loss_D_fake 0.005612
[1249/5000][290/535][128853] Loss_D: -0.019837 Loss_G: 0.006018 Loss_D_real: -0.022880 Loss_D_fake -0.003042
[1249/5000][295/535][128854] Loss_D: -0.020995 Loss_G: -0.007038 Loss_D_real: -0.018802 Loss_D_fake 0.002193
[1249/5000][300/535][128855] Loss_D: -0.019959 Loss_G: 0.021907 Loss_D_real: -0.017042 Loss_D_fake 0.002917
[1249/5000][305/535][128856] Loss_D: -0.020622 Loss_G: -0.003376 Loss_D_real: -0.009650 Loss_D_fake 0.010972
[1249/5000][310/535][128857] Loss_D: -0.019339 Loss_G: 0.027308 Loss_D_real: -0.026401 Loss_D_fake -0.007062
[1249/5000][315/535][128858] Loss_D: -0.020501 Loss_G: 0.012093 Loss_D_real: -0.016891 Loss_D_fake 0.003609
[1249/5000][320/535][128859] Loss_D: -0.021418 Loss_G: -0.012925 Loss_D_real: -0.007978 Loss_D_fake 0.013440
[1249/5000][325/535][128860] Loss_D: -0.019517 Loss_G: 0.018629 Loss_D_real: -0.020582 Loss_D_fake -0.001065
[1249/5000][330/535][128861] Loss_D: -0.019762 Loss_G: -0.005716 Loss_D_real: 0.001948 Loss_D_fake 0.021711
[1249/5000][335/535][128862] Loss_D: -0.020704 Loss_G: 0.004020 Loss_D_real: -0.009641 Loss_D_fake 0.011062
[1249/5000][340/535][128863] Loss_D: -0.020420 Loss_G: 0.005038 Loss_D_real: -0.016705 Loss_D_fake 0.003715
[1249/5000][345/535][128864] Loss_D: -0.019738 Loss_G: 0.011155 Loss_D_real: -0.024871 Loss_D_fake -0.005133
[1249/5000][350/535][128865] Loss_D: -0.020732 Loss_G: 0.009527 Loss_D_real: -0.015035 Loss_D_fake 0.005697
[1249/5000][355/535][128866] Loss_D: -0.021972 Loss_G: 0.011674 Loss_D_real: -0.013688 Loss_D_fake 0.008285
[1249/5000][360/535][128867] Loss_D: -0.020247 Loss_G: 0.007894 Loss_D_real: -0.016223 Loss_D_fake 0.004024
[1249/5000][365/535][128868] Loss_D: -0.021106 Loss_G: -0.009310 Loss_D_real: -0.006175 Loss_D_fake 0.014931
[1249/5000][370/535][128869] Loss_D: -0.021190 Loss_G: 0.022969 Loss_D_real: -0.015791 Loss_D_fake 0.005399
[1249/5000][375/535][128870] Loss_D: -0.019626 Loss_G: 0.034470 Loss_D_real: -0.021079 Loss_D_fake -0.001453
[1249/5000][380/535][128871] Loss_D: -0.019474 Loss_G: 0.010724 Loss_D_real: -0.025617 Loss_D_fake -0.006143
[1249/5000][385/535][128872] Loss_D: -0.021830 Loss_G: 0.009967 Loss_D_real: -0.017190 Loss_D_fake 0.004640
[1249/5000][390/535][128873] Loss_D: -0.019744 Loss_G: -0.007988 Loss_D_real: -0.000140 Loss_D_fake 0.019604
[1249/5000][395/535][128874] Loss_D: -0.019518 Loss_G: 0.019334 Loss_D_real: -0.031180 Loss_D_fake -0.011662
[1249/5000][400/535][128875] Loss_D: -0.019190 Loss_G: -0.007434 Loss_D_real: -0.003861 Loss_D_fake 0.015329
[1249/5000][405/535][128876] Loss_D: -0.021100 Loss_G: 0.024388 Loss_D_real: -0.017296 Loss_D_fake 0.003805
[1249/5000][410/535][128877] Loss_D: -0.019069 Loss_G: 0.016586 Loss_D_real: -0.029685 Loss_D_fake -0.010617
[1249/5000][415/535][128878] Loss_D: -0.019562 Loss_G: 0.026502 Loss_D_real: -0.023961 Loss_D_fake -0.004399
[1249/5000][420/535][128879] Loss_D: -0.019629 Loss_G: -0.008596 Loss_D_real: -0.002478 Loss_D_fake 0.017150
[1249/5000][425/535][128880] Loss_D: -0.020225 Loss_G: 0.015958 Loss_D_real: -0.019280 Loss_D_fake 0.000945
[1249/5000][430/535][128881] Loss_D: -0.019564 Loss_G: 0.004419 Loss_D_real: -0.008957 Loss_D_fake 0.010608
[1249/5000][435/535][128882] Loss_D: -0.020419 Loss_G: 0.001131 Loss_D_real: -0.016172 Loss_D_fake 0.004246
[1249/5000][440/535][128883] Loss_D: -0.020239 Loss_G: 0.008137 Loss_D_real: -0.022675 Loss_D_fake -0.002437
[1249/5000][445/535][128884] Loss_D: -0.019523 Loss_G: -0.011123 Loss_D_real: -0.003532 Loss_D_fake 0.015991
[1249/5000][450/535][128885] Loss_D: -0.019113 Loss_G: -0.002106 Loss_D_real: 0.001365 Loss_D_fake 0.020478
[1249/5000][455/535][128886] Loss_D: -0.020342 Loss_G: -0.000786 Loss_D_real: 0.005963 Loss_D_fake 0.026305
[1249/5000][460/535][128887] Loss_D: -0.019706 Loss_G: 0.014607 Loss_D_real: -0.032510 Loss_D_fake -0.012804
[1249/5000][465/535][128888] Loss_D: -0.021065 Loss_G: 0.011499 Loss_D_real: -0.021809 Loss_D_fake -0.000744
[1249/5000][470/535][128889] Loss_D: -0.020127 Loss_G: -0.001159 Loss_D_real: -0.008077 Loss_D_fake 0.012050
[1249/5000][475/535][128890] Loss_D: -0.020222 Loss_G: 0.013787 Loss_D_real: -0.024544 Loss_D_fake -0.004322
[1249/5000][480/535][128891] Loss_D: -0.020422 Loss_G: 0.014069 Loss_D_real: -0.020478 Loss_D_fake -0.000056
[1249/5000][485/535][128892] Loss_D: -0.019176 Loss_G: 0.015327 Loss_D_real: -0.026892 Loss_D_fake -0.007716
[1249/5000][490/535][128893] Loss_D: -0.019459 Loss_G: 0.024948 Loss_D_real: -0.028533 Loss_D_fake -0.009074
[1249/5000][495/535][128894] Loss_D: -0.017999 Loss_G: 0.019747 Loss_D_real: -0.025853 Loss_D_fake -0.007854
[1249/5000][500/535][128895] Loss_D: -0.019247 Loss_G: 0.016200 Loss_D_real: -0.013417 Loss_D_fake 0.005830
[1249/5000][505/535][128896] Loss_D: -0.021957 Loss_G: -0.002796 Loss_D_real: -0.015374 Loss_D_fake 0.006583
[1249/5000][510/535][128897] Loss_D: -0.019922 Loss_G: -0.003454 Loss_D_real: -0.010151 Loss_D_fake 0.009771
[1249/5000][515/535][128898] Loss_D: -0.020388 Loss_G: -0.006199 Loss_D_real: -0.010681 Loss_D_fake 0.009706
[1249/5000][520/535][128899] Loss_D: -0.019460 Loss_G: 0.023718 Loss_D_real: -0.021607 Loss_D_fake -0.002147
[1249/5000][525/535][128900] Loss_D: -0.018896 Loss_G: 0.009137 Loss_D_real: -0.010469 Loss_D_fake 0.008427
[1249/5000][530/535][128901] Loss_D: -0.019895 Loss_G: 0.002703 Loss_D_real: -0.021713 Loss_D_fake -0.001818
[1249/5000][535/535][128902] Loss_D: -0.020623 Loss_G: 0.010120 Loss_D_real: -0.021854 Loss_D_fake -0.001231
[1250/5000][5/535][128903] Loss_D: -0.019231 Loss_G: -0.000895 Loss_D_real: -0.001465 Loss_D_fake 0.017766
[1250/5000][10/535][128904] Loss_D: -0.020124 Loss_G: 0.016411 Loss_D_real: -0.019510 Loss_D_fake 0.000614
[1250/5000][15/535][128905] Loss_D: -0.020224 Loss_G: 0.020502 Loss_D_real: -0.025403 Loss_D_fake -0.005179
[1250/5000][20/535][128906] Loss_D: -0.019500 Loss_G: -0.006200 Loss_D_real: -0.009724 Loss_D_fake 0.009776
[1250/5000][25/535][128907] Loss_D: -0.020091 Loss_G: 0.004514 Loss_D_real: -0.017906 Loss_D_fake 0.002185
[1250/5000][30/535][128908] Loss_D: -0.020107 Loss_G: 0.006924 Loss_D_real: -0.011676 Loss_D_fake 0.008431
[1250/5000][35/535][128909] Loss_D: -0.018504 Loss_G: -0.008192 Loss_D_real: -0.008478 Loss_D_fake 0.010026
[1250/5000][40/535][128910] Loss_D: -0.019686 Loss_G: 0.011361 Loss_D_real: -0.019646 Loss_D_fake 0.000040
[1250/5000][45/535][128911] Loss_D: -0.020027 Loss_G: -0.021856 Loss_D_real: 0.001591 Loss_D_fake 0.021618
[1250/5000][50/535][128912] Loss_D: -0.019749 Loss_G: 0.011717 Loss_D_real: -0.025866 Loss_D_fake -0.006117
[1250/5000][55/535][128913] Loss_D: -0.019763 Loss_G: 0.000642 Loss_D_real: -0.019165 Loss_D_fake 0.000598
[1250/5000][60/535][128914] Loss_D: -0.018873 Loss_G: 0.025989 Loss_D_real: -0.031192 Loss_D_fake -0.012319
[1250/5000][65/535][128915] Loss_D: -0.019899 Loss_G: -0.006673 Loss_D_real: -0.006443 Loss_D_fake 0.013457
[1250/5000][70/535][128916] Loss_D: -0.018977 Loss_G: 0.002327 Loss_D_real: -0.014901 Loss_D_fake 0.004075
[1250/5000][75/535][128917] Loss_D: -0.019987 Loss_G: 0.001940 Loss_D_real: -0.009225 Loss_D_fake 0.010762
[1250/5000][80/535][128918] Loss_D: -0.019770 Loss_G: 0.012265 Loss_D_real: -0.028384 Loss_D_fake -0.008614
[1250/5000][85/535][128919] Loss_D: -0.018971 Loss_G: 0.026658 Loss_D_real: -0.021393 Loss_D_fake -0.002422
[1250/5000][90/535][128920] Loss_D: -0.018132 Loss_G: 0.021554 Loss_D_real: -0.038079 Loss_D_fake -0.019947
[1250/5000][95/535][128921] Loss_D: -0.021279 Loss_G: 0.009771 Loss_D_real: -0.011255 Loss_D_fake 0.010024
[1250/5000][100/535][128922] Loss_D: -0.019879 Loss_G: -0.018080 Loss_D_real: -0.004213 Loss_D_fake 0.015666
[1250/5000][105/535][128923] Loss_D: -0.020310 Loss_G: 0.009748 Loss_D_real: -0.022004 Loss_D_fake -0.001694
[1250/5000][110/535][128924] Loss_D: -0.020876 Loss_G: 0.002266 Loss_D_real: -0.010733 Loss_D_fake 0.010144
[1250/5000][115/535][128925] Loss_D: -0.019106 Loss_G: 0.016243 Loss_D_real: -0.015591 Loss_D_fake 0.003515
[1250/5000][120/535][128926] Loss_D: -0.021202 Loss_G: -0.005167 Loss_D_real: -0.010548 Loss_D_fake 0.010654
[1250/5000][125/535][128927] Loss_D: -0.019944 Loss_G: 0.019418 Loss_D_real: -0.021390 Loss_D_fake -0.001446
[1250/5000][130/535][128928] Loss_D: -0.020668 Loss_G: 0.014295 Loss_D_real: -0.007559 Loss_D_fake 0.013110
[1250/5000][135/535][128929] Loss_D: -0.019855 Loss_G: 0.012788 Loss_D_real: -0.026098 Loss_D_fake -0.006243
[1250/5000][140/535][128930] Loss_D: -0.022201 Loss_G: -0.006863 Loss_D_real: -0.013658 Loss_D_fake 0.008543
[1250/5000][145/535][128931] Loss_D: -0.020262 Loss_G: 0.026866 Loss_D_real: -0.026665 Loss_D_fake -0.006403
[1250/5000][150/535][128932] Loss_D: -0.021394 Loss_G: 0.000927 Loss_D_real: -0.022549 Loss_D_fake -0.001155
[1250/5000][155/535][128933] Loss_D: -0.021195 Loss_G: 0.019834 Loss_D_real: -0.022367 Loss_D_fake -0.001171
[1250/5000][160/535][128934] Loss_D: -0.020274 Loss_G: 0.001176 Loss_D_real: -0.011690 Loss_D_fake 0.008583
[1250/5000][165/535][128935] Loss_D: -0.019432 Loss_G: 0.010373 Loss_D_real: -0.026117 Loss_D_fake -0.006684
[1250/5000][170/535][128936] Loss_D: -0.020114 Loss_G: 0.011754 Loss_D_real: -0.009744 Loss_D_fake 0.010370
[1250/5000][175/535][128937] Loss_D: -0.020006 Loss_G: 0.002717 Loss_D_real: -0.019833 Loss_D_fake 0.000173
[1250/5000][180/535][128938] Loss_D: -0.020839 Loss_G: 0.002428 Loss_D_real: -0.012494 Loss_D_fake 0.008345
[1250/5000][185/535][128939] Loss_D: -0.019472 Loss_G: 0.015839 Loss_D_real: -0.012015 Loss_D_fake 0.007457
[1250/5000][190/535][128940] Loss_D: -0.021705 Loss_G: 0.015874 Loss_D_real: -0.013188 Loss_D_fake 0.008516
[1250/5000][195/535][128941] Loss_D: -0.018812 Loss_G: 0.029773 Loss_D_real: -0.038720 Loss_D_fake -0.019908
[1250/5000][200/535][128942] Loss_D: -0.020697 Loss_G: 0.003282 Loss_D_real: -0.022569 Loss_D_fake -0.001872
[1250/5000][205/535][128943] Loss_D: -0.020199 Loss_G: 0.020325 Loss_D_real: -0.019469 Loss_D_fake 0.000730
[1250/5000][210/535][128944] Loss_D: -0.021063 Loss_G: 0.000071 Loss_D_real: -0.013132 Loss_D_fake 0.007931
[1250/5000][215/535][128945] Loss_D: -0.020652 Loss_G: 0.003922 Loss_D_real: -0.014597 Loss_D_fake 0.006055
[1250/5000][220/535][128946] Loss_D: -0.021096 Loss_G: 0.001584 Loss_D_real: -0.011088 Loss_D_fake 0.010008
[1250/5000][225/535][128947] Loss_D: -0.020887 Loss_G: 0.006050 Loss_D_real: -0.019530 Loss_D_fake 0.001357
[1250/5000][230/535][128948] Loss_D: -0.018723 Loss_G: -0.011755 Loss_D_real: -0.000212 Loss_D_fake 0.018511
[1250/5000][235/535][128949] Loss_D: -0.019830 Loss_G: -0.004004 Loss_D_real: -0.003562 Loss_D_fake 0.016268
[1250/5000][240/535][128950] Loss_D: -0.020651 Loss_G: 0.010954 Loss_D_real: -0.018368 Loss_D_fake 0.002283
[1250/5000][245/535][128951] Loss_D: -0.018961 Loss_G: 0.001442 Loss_D_real: -0.026372 Loss_D_fake -0.007411
[1250/5000][250/535][128952] Loss_D: -0.019719 Loss_G: 0.000994 Loss_D_real: -0.015795 Loss_D_fake 0.003924
[1250/5000][255/535][128953] Loss_D: -0.019397 Loss_G: -0.003092 Loss_D_real: -0.014849 Loss_D_fake 0.004548
[1250/5000][260/535][128954] Loss_D: -0.018735 Loss_G: 0.002016 Loss_D_real: -0.005838 Loss_D_fake 0.012897
[1250/5000][265/535][128955] Loss_D: -0.020014 Loss_G: 0.017072 Loss_D_real: -0.029366 Loss_D_fake -0.009353
[1250/5000][270/535][128956] Loss_D: -0.020113 Loss_G: -0.005201 Loss_D_real: 0.002563 Loss_D_fake 0.022676
[1250/5000][275/535][128957] Loss_D: -0.019770 Loss_G: 0.023139 Loss_D_real: -0.019669 Loss_D_fake 0.000101
[1250/5000][280/535][128958] Loss_D: -0.019956 Loss_G: 0.014570 Loss_D_real: -0.018547 Loss_D_fake 0.001409
[1250/5000][285/535][128959] Loss_D: -0.020368 Loss_G: 0.015006 Loss_D_real: -0.027251 Loss_D_fake -0.006883
[1250/5000][290/535][128960] Loss_D: -0.019472 Loss_G: -0.000916 Loss_D_real: -0.014305 Loss_D_fake 0.005167
[1250/5000][295/535][128961] Loss_D: -0.018451 Loss_G: 0.036380 Loss_D_real: -0.031324 Loss_D_fake -0.012873
[1250/5000][300/535][128962] Loss_D: -0.019951 Loss_G: 0.010045 Loss_D_real: -0.027526 Loss_D_fake -0.007575
[1250/5000][305/535][128963] Loss_D: -0.019535 Loss_G: -0.008773 Loss_D_real: -0.013486 Loss_D_fake 0.006048
[1250/5000][310/535][128964] Loss_D: -0.021566 Loss_G: 0.011257 Loss_D_real: -0.014942 Loss_D_fake 0.006624
[1250/5000][315/535][128965] Loss_D: -0.019083 Loss_G: -0.000293 Loss_D_real: -0.019889 Loss_D_fake -0.000806
[1250/5000][320/535][128966] Loss_D: -0.020229 Loss_G: 0.019899 Loss_D_real: -0.012444 Loss_D_fake 0.007785
[1250/5000][325/535][128967] Loss_D: -0.018764 Loss_G: 0.017205 Loss_D_real: -0.027901 Loss_D_fake -0.009137
[1250/5000][330/535][128968] Loss_D: -0.019064 Loss_G: 0.015791 Loss_D_real: -0.038077 Loss_D_fake -0.019013
[1250/5000][335/535][128969] Loss_D: -0.020607 Loss_G: 0.000885 Loss_D_real: -0.024231 Loss_D_fake -0.003624
[1250/5000][340/535][128970] Loss_D: -0.019595 Loss_G: 0.025651 Loss_D_real: -0.029730 Loss_D_fake -0.010135
[1250/5000][345/535][128971] Loss_D: -0.018942 Loss_G: -0.010297 Loss_D_real: 0.005060 Loss_D_fake 0.024002
[1250/5000][350/535][128972] Loss_D: -0.020113 Loss_G: 0.009428 Loss_D_real: -0.018152 Loss_D_fake 0.001961
[1250/5000][355/535][128973] Loss_D: -0.020453 Loss_G: 0.007806 Loss_D_real: -0.027676 Loss_D_fake -0.007222
[1250/5000][360/535][128974] Loss_D: -0.019931 Loss_G: 0.022267 Loss_D_real: -0.025020 Loss_D_fake -0.005089
[1250/5000][365/535][128975] Loss_D: -0.020709 Loss_G: 0.003514 Loss_D_real: -0.019795 Loss_D_fake 0.000914
[1250/5000][370/535][128976] Loss_D: -0.019941 Loss_G: -0.007208 Loss_D_real: -0.011941 Loss_D_fake 0.008000
[1250/5000][375/535][128977] Loss_D: -0.020953 Loss_G: 0.013873 Loss_D_real: -0.021661 Loss_D_fake -0.000708
[1250/5000][380/535][128978] Loss_D: -0.020456 Loss_G: 0.007828 Loss_D_real: -0.021262 Loss_D_fake -0.000806
[1250/5000][385/535][128979] Loss_D: -0.020592 Loss_G: 0.012199 Loss_D_real: -0.013357 Loss_D_fake 0.007235
[1250/5000][390/535][128980] Loss_D: -0.020062 Loss_G: 0.000520 Loss_D_real: -0.007584 Loss_D_fake 0.012478
[1250/5000][395/535][128981] Loss_D: -0.019985 Loss_G: 0.015098 Loss_D_real: -0.009751 Loss_D_fake 0.010234
[1250/5000][400/535][128982] Loss_D: -0.020175 Loss_G: 0.025482 Loss_D_real: -0.025536 Loss_D_fake -0.005362
[1250/5000][405/535][128983] Loss_D: -0.020589 Loss_G: 0.003835 Loss_D_real: -0.017476 Loss_D_fake 0.003113
[1250/5000][410/535][128984] Loss_D: -0.021653 Loss_G: -0.001818 Loss_D_real: -0.020243 Loss_D_fake 0.001410
[1250/5000][415/535][128985] Loss_D: -0.019738 Loss_G: 0.005131 Loss_D_real: -0.003500 Loss_D_fake 0.016238
[1250/5000][420/535][128986] Loss_D: -0.020997 Loss_G: 0.004923 Loss_D_real: -0.022773 Loss_D_fake -0.001777
[1250/5000][425/535][128987] Loss_D: -0.020126 Loss_G: 0.024738 Loss_D_real: -0.018354 Loss_D_fake 0.001773
[1250/5000][430/535][128988] Loss_D: -0.018815 Loss_G: -0.006884 Loss_D_real: -0.009885 Loss_D_fake 0.008930
[1250/5000][435/535][128989] Loss_D: -0.020783 Loss_G: -0.001945 Loss_D_real: -0.010799 Loss_D_fake 0.009984
[1250/5000][440/535][128990] Loss_D: -0.021686 Loss_G: 0.003873 Loss_D_real: -0.003504 Loss_D_fake 0.018183
[1250/5000][445/535][128991] Loss_D: -0.019977 Loss_G: -0.003481 Loss_D_real: -0.006238 Loss_D_fake 0.013739
[1250/5000][450/535][128992] Loss_D: -0.019393 Loss_G: -0.001025 Loss_D_real: -0.025232 Loss_D_fake -0.005839
[1250/5000][455/535][128993] Loss_D: -0.020554 Loss_G: 0.002128 Loss_D_real: -0.004797 Loss_D_fake 0.015758
[1250/5000][460/535][128994] Loss_D: -0.019326 Loss_G: -0.008712 Loss_D_real: 0.008906 Loss_D_fake 0.028232
[1250/5000][465/535][128995] Loss_D: -0.020148 Loss_G: 0.006383 Loss_D_real: -0.022974 Loss_D_fake -0.002826
[1250/5000][470/535][128996] Loss_D: -0.019890 Loss_G: 0.021636 Loss_D_real: -0.025242 Loss_D_fake -0.005353
[1250/5000][475/535][128997] Loss_D: -0.021245 Loss_G: 0.011068 Loss_D_real: -0.016219 Loss_D_fake 0.005026
[1250/5000][480/535][128998] Loss_D: -0.020273 Loss_G: -0.018705 Loss_D_real: -0.005975 Loss_D_fake 0.014299
[1250/5000][485/535][128999] Loss_D: -0.019010 Loss_G: 0.005515 Loss_D_real: -0.020198 Loss_D_fake -0.001188
[1250/5000][490/535][129000] Loss_D: -0.019634 Loss_G: 0.012146 Loss_D_real: -0.012961 Loss_D_fake 0.006673
[1250/5000][535/535][129001] Loss_D: -0.015622 Loss_G: -0.009584 Loss_D_real: 0.008167 Loss_D_fake 0.023789
[1251/5000][5/535][129002] Loss_D: -0.021648 Loss_G: 0.041871 Loss_D_real: -0.024933 Loss_D_fake -0.003284
[1251/5000][10/535][129003] Loss_D: -0.018566 Loss_G: -0.006949 Loss_D_real: -0.002587 Loss_D_fake 0.015978
[1251/5000][15/535][129004] Loss_D: -0.019103 Loss_G: 0.009948 Loss_D_real: -0.027242 Loss_D_fake -0.008139
[1251/5000][20/535][129005] Loss_D: -0.019452 Loss_G: 0.020397 Loss_D_real: -0.020050 Loss_D_fake -0.000598
[1251/5000][25/535][129006] Loss_D: -0.019183 Loss_G: 0.008762 Loss_D_real: -0.028647 Loss_D_fake -0.009464
[1251/5000][30/535][129007] Loss_D: -0.020012 Loss_G: 0.000242 Loss_D_real: -0.019105 Loss_D_fake 0.000907
[1251/5000][35/535][129008] Loss_D: -0.020840 Loss_G: 0.004389 Loss_D_real: -0.021737 Loss_D_fake -0.000897
[1251/5000][40/535][129009] Loss_D: -0.020431 Loss_G: -0.005934 Loss_D_real: -0.014020 Loss_D_fake 0.006410
[1251/5000][45/535][129010] Loss_D: -0.018392 Loss_G: -0.013966 Loss_D_real: -0.002321 Loss_D_fake 0.016071
[1251/5000][50/535][129011] Loss_D: -0.018551 Loss_G: 0.016271 Loss_D_real: -0.021780 Loss_D_fake -0.003229
[1251/5000][55/535][129012] Loss_D: -0.019699 Loss_G: -0.000213 Loss_D_real: -0.006055 Loss_D_fake 0.013644
[1251/5000][60/535][129013] Loss_D: -0.020701 Loss_G: 0.020215 Loss_D_real: -0.014225 Loss_D_fake 0.006475
[1251/5000][65/535][129014] Loss_D: -0.021272 Loss_G: -0.011454 Loss_D_real: -0.004554 Loss_D_fake 0.016718
[1251/5000][70/535][129015] Loss_D: -0.018936 Loss_G: -0.001849 Loss_D_real: -0.024533 Loss_D_fake -0.005596
[1251/5000][75/535][129016] Loss_D: -0.020672 Loss_G: -0.001229 Loss_D_real: -0.019396 Loss_D_fake 0.001276
[1251/5000][80/535][129017] Loss_D: -0.020724 Loss_G: 0.006340 Loss_D_real: -0.018803 Loss_D_fake 0.001922
[1251/5000][85/535][129018] Loss_D: -0.020635 Loss_G: 0.005780 Loss_D_real: -0.014935 Loss_D_fake 0.005700
[1251/5000][90/535][129019] Loss_D: -0.020367 Loss_G: -0.000294 Loss_D_real: -0.014899 Loss_D_fake 0.005468
[1251/5000][95/535][129020] Loss_D: -0.020253 Loss_G: 0.005605 Loss_D_real: -0.018312 Loss_D_fake 0.001941
[1251/5000][100/535][129021] Loss_D: -0.019884 Loss_G: 0.011012 Loss_D_real: -0.013956 Loss_D_fake 0.005929
[1251/5000][105/535][129022] Loss_D: -0.020422 Loss_G: 0.004154 Loss_D_real: -0.008869 Loss_D_fake 0.011553
[1251/5000][110/535][129023] Loss_D: -0.019993 Loss_G: 0.012472 Loss_D_real: -0.026100 Loss_D_fake -0.006107
[1251/5000][115/535][129024] Loss_D: -0.020128 Loss_G: 0.005767 Loss_D_real: -0.018307 Loss_D_fake 0.001820
[1251/5000][120/535][129025] Loss_D: -0.019527 Loss_G: -0.004866 Loss_D_real: -0.015411 Loss_D_fake 0.004115
[1251/5000][125/535][129026] Loss_D: -0.022074 Loss_G: 0.032296 Loss_D_real: -0.014384 Loss_D_fake 0.007689
[1251/5000][130/535][129027] Loss_D: -0.019374 Loss_G: 0.011744 Loss_D_real: -0.017348 Loss_D_fake 0.002026
[1251/5000][135/535][129028] Loss_D: -0.020608 Loss_G: 0.007089 Loss_D_real: -0.034032 Loss_D_fake -0.013424
[1251/5000][140/535][129029] Loss_D: -0.020343 Loss_G: -0.008102 Loss_D_real: -0.002449 Loss_D_fake 0.017894
[1251/5000][145/535][129030] Loss_D: -0.020085 Loss_G: 0.001813 Loss_D_real: -0.016452 Loss_D_fake 0.003633
[1251/5000][150/535][129031] Loss_D: -0.021874 Loss_G: -0.002615 Loss_D_real: -0.005439 Loss_D_fake 0.016435
[1251/5000][155/535][129032] Loss_D: -0.020648 Loss_G: -0.006209 Loss_D_real: -0.011674 Loss_D_fake 0.008974
[1251/5000][160/535][129033] Loss_D: -0.019491 Loss_G: 0.010991 Loss_D_real: -0.023660 Loss_D_fake -0.004168
[1251/5000][165/535][129034] Loss_D: -0.019024 Loss_G: 0.001278 Loss_D_real: -0.023333 Loss_D_fake -0.004309
[1251/5000][170/535][129035] Loss_D: -0.019341 Loss_G: 0.017466 Loss_D_real: -0.031632 Loss_D_fake -0.012291
[1251/5000][175/535][129036] Loss_D: -0.020830 Loss_G: 0.004904 Loss_D_real: -0.022555 Loss_D_fake -0.001725
[1251/5000][180/535][129037] Loss_D: -0.019293 Loss_G: 0.016443 Loss_D_real: -0.026074 Loss_D_fake -0.006781
[1251/5000][185/535][129038] Loss_D: -0.019777 Loss_G: 0.023998 Loss_D_real: -0.028795 Loss_D_fake -0.009018
[1251/5000][190/535][129039] Loss_D: -0.019382 Loss_G: 0.000792 Loss_D_real: -0.005953 Loss_D_fake 0.013429
[1251/5000][195/535][129040] Loss_D: -0.021206 Loss_G: 0.012614 Loss_D_real: -0.026487 Loss_D_fake -0.005281
[1251/5000][200/535][129041] Loss_D: -0.020975 Loss_G: 0.008579 Loss_D_real: -0.028748 Loss_D_fake -0.007773
[1251/5000][205/535][129042] Loss_D: -0.020191 Loss_G: -0.002382 Loss_D_real: -0.005947 Loss_D_fake 0.014244
[1251/5000][210/535][129043] Loss_D: -0.019204 Loss_G: -0.006197 Loss_D_real: 0.002395 Loss_D_fake 0.021599
[1251/5000][215/535][129044] Loss_D: -0.020677 Loss_G: 0.011988 Loss_D_real: -0.028854 Loss_D_fake -0.008177
[1251/5000][220/535][129045] Loss_D: -0.020419 Loss_G: -0.002228 Loss_D_real: -0.005158 Loss_D_fake 0.015261
[1251/5000][225/535][129046] Loss_D: -0.019495 Loss_G: 0.026727 Loss_D_real: -0.032315 Loss_D_fake -0.012820
[1251/5000][230/535][129047] Loss_D: -0.020155 Loss_G: 0.019065 Loss_D_real: -0.011246 Loss_D_fake 0.008909
[1251/5000][235/535][129048] Loss_D: -0.019282 Loss_G: -0.004497 Loss_D_real: -0.004479 Loss_D_fake 0.014803
[1251/5000][240/535][129049] Loss_D: -0.019683 Loss_G: 0.016608 Loss_D_real: -0.018046 Loss_D_fake 0.001637
[1251/5000][245/535][129050] Loss_D: -0.019989 Loss_G: 0.007960 Loss_D_real: -0.008475 Loss_D_fake 0.011515
[1251/5000][250/535][129051] Loss_D: -0.020365 Loss_G: 0.011424 Loss_D_real: -0.009318 Loss_D_fake 0.011047
[1251/5000][255/535][129052] Loss_D: -0.016916 Loss_G: 0.027030 Loss_D_real: -0.027816 Loss_D_fake -0.010901
[1251/5000][260/535][129053] Loss_D: -0.020504 Loss_G: -0.002334 Loss_D_real: -0.013183 Loss_D_fake 0.007321
[1251/5000][265/535][129054] Loss_D: -0.019836 Loss_G: 0.002658 Loss_D_real: -0.012487 Loss_D_fake 0.007348
[1251/5000][270/535][129055] Loss_D: -0.021852 Loss_G: 0.012804 Loss_D_real: -0.016605 Loss_D_fake 0.005247
[1251/5000][275/535][129056] Loss_D: -0.020184 Loss_G: -0.000177 Loss_D_real: -0.014361 Loss_D_fake 0.005824
[1251/5000][280/535][129057] Loss_D: -0.019443 Loss_G: 0.014422 Loss_D_real: -0.012125 Loss_D_fake 0.007318
[1251/5000][285/535][129058] Loss_D: -0.021111 Loss_G: 0.008765 Loss_D_real: -0.026845 Loss_D_fake -0.005734
[1251/5000][290/535][129059] Loss_D: -0.019033 Loss_G: 0.016435 Loss_D_real: -0.019426 Loss_D_fake -0.000392
[1251/5000][295/535][129060] Loss_D: -0.020366 Loss_G: -0.002527 Loss_D_real: -0.004304 Loss_D_fake 0.016062
[1251/5000][300/535][129061] Loss_D: -0.020354 Loss_G: 0.014806 Loss_D_real: -0.024249 Loss_D_fake -0.003895
[1251/5000][305/535][129062] Loss_D: -0.019807 Loss_G: -0.007342 Loss_D_real: -0.008353 Loss_D_fake 0.011454
[1251/5000][310/535][129063] Loss_D: -0.020390 Loss_G: 0.013013 Loss_D_real: -0.018516 Loss_D_fake 0.001874
[1251/5000][315/535][129064] Loss_D: -0.020119 Loss_G: 0.026739 Loss_D_real: -0.018375 Loss_D_fake 0.001744
[1251/5000][320/535][129065] Loss_D: -0.018605 Loss_G: 0.006224 Loss_D_real: -0.015225 Loss_D_fake 0.003380
[1251/5000][325/535][129066] Loss_D: -0.020570 Loss_G: 0.003973 Loss_D_real: -0.010873 Loss_D_fake 0.009697
[1251/5000][330/535][129067] Loss_D: -0.020845 Loss_G: 0.003195 Loss_D_real: -0.023509 Loss_D_fake -0.002664
[1251/5000][335/535][129068] Loss_D: -0.021206 Loss_G: -0.000319 Loss_D_real: -0.018302 Loss_D_fake 0.002903
[1251/5000][340/535][129069] Loss_D: -0.021303 Loss_G: 0.009927 Loss_D_real: -0.014116 Loss_D_fake 0.007187
[1251/5000][345/535][129070] Loss_D: -0.020234 Loss_G: 0.014234 Loss_D_real: -0.017219 Loss_D_fake 0.003015
[1251/5000][350/535][129071] Loss_D: -0.018963 Loss_G: -0.002709 Loss_D_real: -0.007117 Loss_D_fake 0.011846
[1251/5000][355/535][129072] Loss_D: -0.019786 Loss_G: -0.007824 Loss_D_real: 0.004412 Loss_D_fake 0.024199
[1251/5000][360/535][129073] Loss_D: -0.019714 Loss_G: 0.002281 Loss_D_real: -0.018111 Loss_D_fake 0.001603
[1251/5000][365/535][129074] Loss_D: -0.019526 Loss_G: 0.007356 Loss_D_real: -0.026356 Loss_D_fake -0.006831
[1251/5000][370/535][129075] Loss_D: -0.020749 Loss_G: 0.008444 Loss_D_real: -0.003577 Loss_D_fake 0.017172
[1251/5000][375/535][129076] Loss_D: -0.019920 Loss_G: 0.021072 Loss_D_real: -0.032258 Loss_D_fake -0.012338
[1251/5000][380/535][129077] Loss_D: -0.022709 Loss_G: 0.015779 Loss_D_real: -0.016413 Loss_D_fake 0.006295
[1251/5000][385/535][129078] Loss_D: -0.021395 Loss_G: 0.010405 Loss_D_real: -0.026998 Loss_D_fake -0.005603
[1251/5000][390/535][129079] Loss_D: -0.019746 Loss_G: 0.016945 Loss_D_real: -0.013852 Loss_D_fake 0.005894
[1251/5000][395/535][129080] Loss_D: -0.020757 Loss_G: 0.008041 Loss_D_real: -0.028030 Loss_D_fake -0.007273
[1251/5000][400/535][129081] Loss_D: -0.021275 Loss_G: 0.017968 Loss_D_real: -0.022007 Loss_D_fake -0.000732
[1251/5000][405/535][129082] Loss_D: -0.019868 Loss_G: 0.003294 Loss_D_real: -0.011727 Loss_D_fake 0.008141
[1251/5000][410/535][129083] Loss_D: -0.019949 Loss_G: 0.001989 Loss_D_real: -0.007707 Loss_D_fake 0.012242
[1251/5000][415/535][129084] Loss_D: -0.018930 Loss_G: 0.006139 Loss_D_real: -0.006313 Loss_D_fake 0.012617
[1251/5000][420/535][129085] Loss_D: -0.020088 Loss_G: 0.006504 Loss_D_real: -0.026562 Loss_D_fake -0.006474
[1251/5000][425/535][129086] Loss_D: -0.020929 Loss_G: 0.001677 Loss_D_real: 0.001805 Loss_D_fake 0.022734
[1251/5000][430/535][129087] Loss_D: -0.020035 Loss_G: -0.001903 Loss_D_real: -0.008898 Loss_D_fake 0.011136
[1251/5000][435/535][129088] Loss_D: -0.019620 Loss_G: -0.005504 Loss_D_real: -0.009395 Loss_D_fake 0.010225
[1251/5000][440/535][129089] Loss_D: -0.020434 Loss_G: 0.020220 Loss_D_real: -0.015924 Loss_D_fake 0.004510
[1251/5000][445/535][129090] Loss_D: -0.020538 Loss_G: 0.000213 Loss_D_real: -0.018735 Loss_D_fake 0.001802
[1251/5000][450/535][129091] Loss_D: -0.019161 Loss_G: 0.002032 Loss_D_real: -0.014349 Loss_D_fake 0.004811
[1251/5000][455/535][129092] Loss_D: -0.020214 Loss_G: 0.004895 Loss_D_real: -0.006437 Loss_D_fake 0.013778
[1251/5000][460/535][129093] Loss_D: -0.019838 Loss_G: 0.018056 Loss_D_real: -0.016162 Loss_D_fake 0.003676
[1251/5000][465/535][129094] Loss_D: -0.019954 Loss_G: -0.007194 Loss_D_real: -0.011599 Loss_D_fake 0.008355
[1251/5000][470/535][129095] Loss_D: -0.019053 Loss_G: 0.025206 Loss_D_real: -0.032021 Loss_D_fake -0.012968
[1251/5000][475/535][129096] Loss_D: -0.019704 Loss_G: 0.004314 Loss_D_real: -0.018143 Loss_D_fake 0.001561
[1251/5000][480/535][129097] Loss_D: -0.019782 Loss_G: 0.024102 Loss_D_real: -0.028871 Loss_D_fake -0.009089
[1251/5000][485/535][129098] Loss_D: -0.018209 Loss_G: 0.010756 Loss_D_real: -0.015149 Loss_D_fake 0.003060
[1251/5000][490/535][129099] Loss_D: -0.019796 Loss_G: 0.003587 Loss_D_real: -0.004913 Loss_D_fake 0.014883
[1251/5000][495/535][129100] Loss_D: -0.020836 Loss_G: -0.010804 Loss_D_real: -0.009740 Loss_D_fake 0.011095
[1251/5000][500/535][129101] Loss_D: -0.020107 Loss_G: 0.002981 Loss_D_real: -0.009420 Loss_D_fake 0.010687
[1251/5000][505/535][129102] Loss_D: -0.020014 Loss_G: 0.001757 Loss_D_real: -0.007988 Loss_D_fake 0.012025
[1251/5000][510/535][129103] Loss_D: -0.021094 Loss_G: -0.004472 Loss_D_real: -0.012291 Loss_D_fake 0.008802
[1251/5000][515/535][129104] Loss_D: -0.020181 Loss_G: 0.003424 Loss_D_real: -0.008397 Loss_D_fake 0.011784
[1251/5000][520/535][129105] Loss_D: -0.019788 Loss_G: 0.008170 Loss_D_real: -0.015488 Loss_D_fake 0.004300
[1251/5000][525/535][129106] Loss_D: -0.020764 Loss_G: 0.008805 Loss_D_real: -0.021567 Loss_D_fake -0.000803
[1251/5000][530/535][129107] Loss_D: -0.021332 Loss_G: 0.010875 Loss_D_real: -0.014730 Loss_D_fake 0.006602
[1251/5000][535/535][129108] Loss_D: -0.021191 Loss_G: -0.026042 Loss_D_real: -0.017533 Loss_D_fake 0.003659
[1252/5000][5/535][129109] Loss_D: -0.019934 Loss_G: -0.002623 Loss_D_real: -0.022214 Loss_D_fake -0.002280
[1252/5000][10/535][129110] Loss_D: -0.018049 Loss_G: -0.014516 Loss_D_real: -0.004981 Loss_D_fake 0.013068
[1252/5000][15/535][129111] Loss_D: -0.021281 Loss_G: 0.015692 Loss_D_real: -0.011807 Loss_D_fake 0.009473
[1252/5000][20/535][129112] Loss_D: -0.020494 Loss_G: 0.006642 Loss_D_real: -0.017322 Loss_D_fake 0.003172
[1252/5000][25/535][129113] Loss_D: -0.019702 Loss_G: 0.016848 Loss_D_real: -0.027531 Loss_D_fake -0.007829
[1252/5000][30/535][129114] Loss_D: -0.019775 Loss_G: -0.010958 Loss_D_real: -0.003166 Loss_D_fake 0.016609
[1252/5000][35/535][129115] Loss_D: -0.020225 Loss_G: 0.009589 Loss_D_real: -0.012773 Loss_D_fake 0.007452
[1252/5000][40/535][129116] Loss_D: -0.020426 Loss_G: 0.016372 Loss_D_real: -0.023142 Loss_D_fake -0.002716
[1252/5000][45/535][129117] Loss_D: -0.020481 Loss_G: 0.017097 Loss_D_real: -0.019886 Loss_D_fake 0.000595
[1252/5000][50/535][129118] Loss_D: -0.020637 Loss_G: -0.003329 Loss_D_real: -0.020903 Loss_D_fake -0.000266
[1252/5000][55/535][129119] Loss_D: -0.019304 Loss_G: 0.007429 Loss_D_real: -0.029480 Loss_D_fake -0.010176
[1252/5000][60/535][129120] Loss_D: -0.019410 Loss_G: 0.033223 Loss_D_real: -0.031620 Loss_D_fake -0.012210
[1252/5000][65/535][129121] Loss_D: -0.018961 Loss_G: -0.013686 Loss_D_real: -0.007855 Loss_D_fake 0.011106
[1252/5000][70/535][129122] Loss_D: -0.019084 Loss_G: 0.019279 Loss_D_real: -0.035846 Loss_D_fake -0.016762
[1252/5000][75/535][129123] Loss_D: -0.018559 Loss_G: 0.021025 Loss_D_real: -0.038602 Loss_D_fake -0.020043
[1252/5000][80/535][129124] Loss_D: -0.019548 Loss_G: 0.000646 Loss_D_real: -0.005284 Loss_D_fake 0.014264
[1252/5000][85/535][129125] Loss_D: -0.020753 Loss_G: -0.001629 Loss_D_real: -0.014273 Loss_D_fake 0.006480
[1252/5000][90/535][129126] Loss_D: -0.020185 Loss_G: 0.009747 Loss_D_real: -0.024071 Loss_D_fake -0.003886
[1252/5000][95/535][129127] Loss_D: -0.020780 Loss_G: 0.025794 Loss_D_real: -0.017351 Loss_D_fake 0.003429
[1252/5000][100/535][129128] Loss_D: -0.018378 Loss_G: 0.000789 Loss_D_real: -0.001032 Loss_D_fake 0.017346
[1252/5000][105/535][129129] Loss_D: -0.020460 Loss_G: 0.016115 Loss_D_real: -0.017128 Loss_D_fake 0.003333
[1252/5000][110/535][129130] Loss_D: -0.018802 Loss_G: 0.012942 Loss_D_real: -0.027128 Loss_D_fake -0.008326
[1252/5000][115/535][129131] Loss_D: -0.019725 Loss_G: 0.007064 Loss_D_real: -0.026696 Loss_D_fake -0.006971
[1252/5000][120/535][129132] Loss_D: -0.020342 Loss_G: 0.001034 Loss_D_real: -0.013281 Loss_D_fake 0.007061
[1252/5000][125/535][129133] Loss_D: -0.020159 Loss_G: 0.000550 Loss_D_real: -0.005091 Loss_D_fake 0.015069
[1252/5000][130/535][129134] Loss_D: -0.018668 Loss_G: 0.023011 Loss_D_real: -0.024522 Loss_D_fake -0.005855
[1252/5000][135/535][129135] Loss_D: -0.019443 Loss_G: -0.006835 Loss_D_real: -0.014860 Loss_D_fake 0.004582
[1252/5000][140/535][129136] Loss_D: -0.020873 Loss_G: 0.001669 Loss_D_real: -0.010786 Loss_D_fake 0.010087
[1252/5000][145/535][129137] Loss_D: -0.019356 Loss_G: 0.013676 Loss_D_real: -0.014804 Loss_D_fake 0.004552
[1252/5000][150/535][129138] Loss_D: -0.018614 Loss_G: 0.017306 Loss_D_real: -0.027528 Loss_D_fake -0.008914
[1252/5000][155/535][129139] Loss_D: -0.021108 Loss_G: -0.004334 Loss_D_real: -0.013868 Loss_D_fake 0.007240
[1252/5000][160/535][129140] Loss_D: -0.020415 Loss_G: 0.007337 Loss_D_real: -0.022913 Loss_D_fake -0.002498
[1252/5000][165/535][129141] Loss_D: -0.020210 Loss_G: -0.001697 Loss_D_real: -0.019170 Loss_D_fake 0.001040
[1252/5000][170/535][129142] Loss_D: -0.019734 Loss_G: 0.012326 Loss_D_real: -0.023633 Loss_D_fake -0.003898
[1252/5000][175/535][129143] Loss_D: -0.020148 Loss_G: 0.029164 Loss_D_real: -0.029576 Loss_D_fake -0.009428
[1252/5000][180/535][129144] Loss_D: -0.018598 Loss_G: 0.027246 Loss_D_real: -0.016718 Loss_D_fake 0.001880
[1252/5000][185/535][129145] Loss_D: -0.020339 Loss_G: -0.005075 Loss_D_real: -0.002214 Loss_D_fake 0.018125
[1252/5000][190/535][129146] Loss_D: -0.020844 Loss_G: 0.002866 Loss_D_real: -0.031051 Loss_D_fake -0.010208
[1252/5000][195/535][129147] Loss_D: -0.020559 Loss_G: 0.014455 Loss_D_real: -0.019735 Loss_D_fake 0.000823
[1252/5000][200/535][129148] Loss_D: -0.020110 Loss_G: 0.014670 Loss_D_real: -0.020055 Loss_D_fake 0.000055
[1252/5000][205/535][129149] Loss_D: -0.020811 Loss_G: 0.002144 Loss_D_real: -0.006516 Loss_D_fake 0.014295
[1252/5000][210/535][129150] Loss_D: -0.020163 Loss_G: 0.002408 Loss_D_real: -0.012847 Loss_D_fake 0.007316
[1252/5000][215/535][129151] Loss_D: -0.021005 Loss_G: 0.008987 Loss_D_real: -0.025156 Loss_D_fake -0.004151
[1252/5000][220/535][129152] Loss_D: -0.020464 Loss_G: 0.005246 Loss_D_real: -0.011430 Loss_D_fake 0.009034
[1252/5000][225/535][129153] Loss_D: -0.021185 Loss_G: -0.001716 Loss_D_real: -0.011148 Loss_D_fake 0.010037
[1252/5000][230/535][129154] Loss_D: -0.019561 Loss_G: 0.019169 Loss_D_real: -0.032117 Loss_D_fake -0.012555
[1252/5000][235/535][129155] Loss_D: -0.019803 Loss_G: -0.010610 Loss_D_real: 0.002186 Loss_D_fake 0.021988
[1252/5000][240/535][129156] Loss_D: -0.020039 Loss_G: 0.017089 Loss_D_real: -0.029848 Loss_D_fake -0.009810
[1252/5000][245/535][129157] Loss_D: -0.020158 Loss_G: 0.008154 Loss_D_real: -0.025168 Loss_D_fake -0.005010
[1252/5000][250/535][129158] Loss_D: -0.020528 Loss_G: 0.020698 Loss_D_real: -0.021426 Loss_D_fake -0.000898
[1252/5000][255/535][129159] Loss_D: -0.019761 Loss_G: -0.009461 Loss_D_real: -0.011596 Loss_D_fake 0.008164
[1252/5000][260/535][129160] Loss_D: -0.022227 Loss_G: 0.000393 Loss_D_real: -0.030699 Loss_D_fake -0.008472
[1252/5000][265/535][129161] Loss_D: -0.020411 Loss_G: 0.007919 Loss_D_real: -0.006731 Loss_D_fake 0.013680
[1252/5000][270/535][129162] Loss_D: -0.018741 Loss_G: -0.000806 Loss_D_real: -0.008903 Loss_D_fake 0.009837
[1252/5000][275/535][129163] Loss_D: -0.019217 Loss_G: -0.013095 Loss_D_real: 0.007323 Loss_D_fake 0.026540
[1252/5000][280/535][129164] Loss_D: -0.019689 Loss_G: 0.003701 Loss_D_real: -0.024687 Loss_D_fake -0.004998
[1252/5000][285/535][129165] Loss_D: -0.018874 Loss_G: 0.028573 Loss_D_real: -0.030981 Loss_D_fake -0.012107
[1252/5000][290/535][129166] Loss_D: -0.017830 Loss_G: 0.017669 Loss_D_real: -0.033507 Loss_D_fake -0.015676
[1252/5000][295/535][129167] Loss_D: -0.020875 Loss_G: 0.003728 Loss_D_real: -0.017349 Loss_D_fake 0.003526
[1252/5000][300/535][129168] Loss_D: -0.021118 Loss_G: 0.001133 Loss_D_real: -0.023762 Loss_D_fake -0.002644
[1252/5000][305/535][129169] Loss_D: -0.019528 Loss_G: -0.007187 Loss_D_real: 0.000674 Loss_D_fake 0.020202
[1252/5000][310/535][129170] Loss_D: -0.020024 Loss_G: 0.020516 Loss_D_real: -0.022305 Loss_D_fake -0.002281
[1252/5000][315/535][129171] Loss_D: -0.018573 Loss_G: 0.019833 Loss_D_real: -0.030278 Loss_D_fake -0.011706
[1252/5000][320/535][129172] Loss_D: -0.020993 Loss_G: 0.002945 Loss_D_real: -0.024152 Loss_D_fake -0.003159
[1252/5000][325/535][129173] Loss_D: -0.020641 Loss_G: 0.001279 Loss_D_real: -0.015928 Loss_D_fake 0.004713
[1252/5000][330/535][129174] Loss_D: -0.020895 Loss_G: 0.012138 Loss_D_real: -0.005417 Loss_D_fake 0.015477
[1252/5000][335/535][129175] Loss_D: -0.019585 Loss_G: 0.010163 Loss_D_real: -0.019092 Loss_D_fake 0.000492
[1252/5000][340/535][129176] Loss_D: -0.018171 Loss_G: 0.012788 Loss_D_real: -0.022581 Loss_D_fake -0.004411
[1252/5000][345/535][129177] Loss_D: -0.019861 Loss_G: 0.019103 Loss_D_real: -0.024460 Loss_D_fake -0.004599
[1252/5000][350/535][129178] Loss_D: -0.020028 Loss_G: 0.008189 Loss_D_real: -0.025844 Loss_D_fake -0.005816
[1252/5000][355/535][129179] Loss_D: -0.020897 Loss_G: 0.002103 Loss_D_real: -0.010501 Loss_D_fake 0.010396
[1252/5000][360/535][129180] Loss_D: -0.019553 Loss_G: 0.015441 Loss_D_real: -0.029078 Loss_D_fake -0.009525
[1252/5000][365/535][129181] Loss_D: -0.019486 Loss_G: -0.010533 Loss_D_real: -0.004441 Loss_D_fake 0.015045
[1252/5000][370/535][129182] Loss_D: -0.020536 Loss_G: 0.010508 Loss_D_real: -0.018558 Loss_D_fake 0.001977
[1252/5000][375/535][129183] Loss_D: -0.019921 Loss_G: 0.001260 Loss_D_real: -0.011949 Loss_D_fake 0.007972
[1252/5000][380/535][129184] Loss_D: -0.021160 Loss_G: 0.001023 Loss_D_real: -0.006988 Loss_D_fake 0.014172
[1252/5000][385/535][129185] Loss_D: -0.019134 Loss_G: -0.001627 Loss_D_real: -0.006068 Loss_D_fake 0.013066
[1252/5000][390/535][129186] Loss_D: -0.019874 Loss_G: 0.007354 Loss_D_real: -0.019453 Loss_D_fake 0.000421
[1252/5000][395/535][129187] Loss_D: -0.019871 Loss_G: 0.011005 Loss_D_real: -0.011653 Loss_D_fake 0.008218
[1252/5000][400/535][129188] Loss_D: -0.020491 Loss_G: 0.014642 Loss_D_real: -0.009292 Loss_D_fake 0.011198
[1252/5000][405/535][129189] Loss_D: -0.018899 Loss_G: -0.004032 Loss_D_real: -0.016781 Loss_D_fake 0.002118
[1252/5000][410/535][129190] Loss_D: -0.019159 Loss_G: 0.013690 Loss_D_real: -0.022434 Loss_D_fake -0.003274
[1252/5000][415/535][129191] Loss_D: -0.021756 Loss_G: -0.007476 Loss_D_real: -0.009559 Loss_D_fake 0.012196
[1252/5000][420/535][129192] Loss_D: -0.020852 Loss_G: 0.015270 Loss_D_real: -0.027927 Loss_D_fake -0.007075
[1252/5000][425/535][129193] Loss_D: -0.020196 Loss_G: 0.008054 Loss_D_real: -0.026715 Loss_D_fake -0.006518
[1252/5000][430/535][129194] Loss_D: -0.019644 Loss_G: -0.002634 Loss_D_real: -0.014328 Loss_D_fake 0.005316
[1252/5000][435/535][129195] Loss_D: -0.019327 Loss_G: 0.014826 Loss_D_real: -0.019723 Loss_D_fake -0.000397
[1252/5000][440/535][129196] Loss_D: -0.018221 Loss_G: 0.015563 Loss_D_real: -0.031874 Loss_D_fake -0.013653
[1252/5000][445/535][129197] Loss_D: -0.020312 Loss_G: 0.016213 Loss_D_real: -0.020864 Loss_D_fake -0.000552
[1252/5000][450/535][129198] Loss_D: -0.020766 Loss_G: 0.000673 Loss_D_real: -0.004376 Loss_D_fake 0.016390
[1252/5000][455/535][129199] Loss_D: -0.020518 Loss_G: -0.017665 Loss_D_real: -0.009662 Loss_D_fake 0.010856
[1252/5000][460/535][129200] Loss_D: -0.020332 Loss_G: 0.011004 Loss_D_real: -0.023902 Loss_D_fake -0.003569
[1252/5000][465/535][129201] Loss_D: -0.020994 Loss_G: 0.012349 Loss_D_real: -0.015268 Loss_D_fake 0.005726
[1252/5000][470/535][129202] Loss_D: -0.020742 Loss_G: 0.004300 Loss_D_real: -0.014777 Loss_D_fake 0.005966
[1252/5000][475/535][129203] Loss_D: -0.019998 Loss_G: 0.015192 Loss_D_real: -0.003827 Loss_D_fake 0.016170
[1252/5000][480/535][129204] Loss_D: -0.020765 Loss_G: 0.011362 Loss_D_real: -0.022975 Loss_D_fake -0.002210
[1252/5000][485/535][129205] Loss_D: -0.020988 Loss_G: 0.003977 Loss_D_real: -0.012344 Loss_D_fake 0.008644
[1252/5000][490/535][129206] Loss_D: -0.020045 Loss_G: 0.013674 Loss_D_real: -0.010405 Loss_D_fake 0.009641
[1252/5000][495/535][129207] Loss_D: -0.021181 Loss_G: -0.016339 Loss_D_real: -0.014309 Loss_D_fake 0.006873
[1252/5000][500/535][129208] Loss_D: -0.019909 Loss_G: 0.012696 Loss_D_real: -0.018635 Loss_D_fake 0.001274
[1252/5000][505/535][129209] Loss_D: -0.018606 Loss_G: -0.016751 Loss_D_real: 0.002035 Loss_D_fake 0.020640
[1252/5000][510/535][129210] Loss_D: -0.020600 Loss_G: 0.024181 Loss_D_real: -0.023855 Loss_D_fake -0.003255
[1252/5000][515/535][129211] Loss_D: -0.019779 Loss_G: -0.009914 Loss_D_real: -0.006498 Loss_D_fake 0.013281
[1252/5000][520/535][129212] Loss_D: -0.020124 Loss_G: 0.016239 Loss_D_real: -0.032614 Loss_D_fake -0.012490
[1252/5000][525/535][129213] Loss_D: -0.019778 Loss_G: 0.007775 Loss_D_real: -0.016833 Loss_D_fake 0.002945
[1252/5000][530/535][129214] Loss_D: -0.020563 Loss_G: 0.011902 Loss_D_real: -0.032250 Loss_D_fake -0.011687
[1252/5000][535/535][129215] Loss_D: -0.020460 Loss_G: 0.037992 Loss_D_real: -0.021252 Loss_D_fake -0.000792
[1253/5000][5/535][129216] Loss_D: -0.020060 Loss_G: 0.016651 Loss_D_real: -0.026724 Loss_D_fake -0.006664
[1253/5000][10/535][129217] Loss_D: -0.020377 Loss_G: 0.004399 Loss_D_real: -0.014985 Loss_D_fake 0.005392
[1253/5000][15/535][129218] Loss_D: -0.020946 Loss_G: 0.017570 Loss_D_real: -0.018861 Loss_D_fake 0.002085
[1253/5000][20/535][129219] Loss_D: -0.020193 Loss_G: 0.000379 Loss_D_real: -0.017750 Loss_D_fake 0.002443
[1253/5000][25/535][129220] Loss_D: -0.020824 Loss_G: 0.007139 Loss_D_real: -0.015104 Loss_D_fake 0.005721
[1253/5000][30/535][129221] Loss_D: -0.020985 Loss_G: 0.017632 Loss_D_real: -0.013626 Loss_D_fake 0.007359
[1253/5000][35/535][129222] Loss_D: -0.017937 Loss_G: 0.015398 Loss_D_real: -0.022607 Loss_D_fake -0.004670
[1253/5000][40/535][129223] Loss_D: -0.019808 Loss_G: 0.004828 Loss_D_real: -0.029918 Loss_D_fake -0.010110
[1253/5000][45/535][129224] Loss_D: -0.019570 Loss_G: 0.014102 Loss_D_real: -0.017860 Loss_D_fake 0.001710
[1253/5000][50/535][129225] Loss_D: -0.020159 Loss_G: 0.008691 Loss_D_real: -0.020555 Loss_D_fake -0.000395
[1253/5000][55/535][129226] Loss_D: -0.018803 Loss_G: -0.017567 Loss_D_real: 0.000363 Loss_D_fake 0.019165
[1253/5000][60/535][129227] Loss_D: -0.019252 Loss_G: 0.020634 Loss_D_real: -0.030406 Loss_D_fake -0.011154
[1253/5000][65/535][129228] Loss_D: -0.018926 Loss_G: 0.019303 Loss_D_real: -0.033721 Loss_D_fake -0.014795
[1253/5000][70/535][129229] Loss_D: -0.020091 Loss_G: 0.015320 Loss_D_real: -0.010991 Loss_D_fake 0.009100
[1253/5000][75/535][129230] Loss_D: -0.020023 Loss_G: 0.006351 Loss_D_real: -0.007534 Loss_D_fake 0.012489
[1253/5000][80/535][129231] Loss_D: -0.018618 Loss_G: 0.019764 Loss_D_real: -0.032268 Loss_D_fake -0.013649
[1253/5000][85/535][129232] Loss_D: -0.020842 Loss_G: -0.007564 Loss_D_real: -0.011483 Loss_D_fake 0.009359
[1253/5000][90/535][129233] Loss_D: -0.019342 Loss_G: 0.011726 Loss_D_real: -0.022270 Loss_D_fake -0.002928
[1253/5000][95/535][129234] Loss_D: -0.021393 Loss_G: 0.001872 Loss_D_real: -0.022909 Loss_D_fake -0.001516
[1253/5000][100/535][129235] Loss_D: -0.018945 Loss_G: 0.008207 Loss_D_real: -0.006614 Loss_D_fake 0.012330
[1253/5000][105/535][129236] Loss_D: -0.018214 Loss_G: 0.005339 Loss_D_real: -0.002805 Loss_D_fake 0.015408
[1253/5000][110/535][129237] Loss_D: -0.018869 Loss_G: -0.014820 Loss_D_real: 0.006173 Loss_D_fake 0.025042
[1253/5000][115/535][129238] Loss_D: -0.020157 Loss_G: 0.001779 Loss_D_real: -0.006072 Loss_D_fake 0.014085
[1253/5000][120/535][129239] Loss_D: -0.020941 Loss_G: 0.020023 Loss_D_real: -0.024668 Loss_D_fake -0.003727
[1253/5000][125/535][129240] Loss_D: -0.020309 Loss_G: 0.018551 Loss_D_real: -0.015802 Loss_D_fake 0.004507
[1253/5000][130/535][129241] Loss_D: -0.020762 Loss_G: 0.007184 Loss_D_real: -0.026953 Loss_D_fake -0.006190
[1253/5000][135/535][129242] Loss_D: -0.018962 Loss_G: 0.026954 Loss_D_real: -0.036012 Loss_D_fake -0.017050
[1253/5000][140/535][129243] Loss_D: -0.020942 Loss_G: 0.005019 Loss_D_real: -0.027988 Loss_D_fake -0.007046
[1253/5000][145/535][129244] Loss_D: -0.019886 Loss_G: 0.024046 Loss_D_real: -0.022980 Loss_D_fake -0.003094
[1253/5000][150/535][129245] Loss_D: -0.020628 Loss_G: 0.019163 Loss_D_real: -0.026410 Loss_D_fake -0.005782
[1253/5000][155/535][129246] Loss_D: -0.020330 Loss_G: 0.011710 Loss_D_real: -0.022633 Loss_D_fake -0.002303
[1253/5000][160/535][129247] Loss_D: -0.020865 Loss_G: -0.009551 Loss_D_real: -0.019235 Loss_D_fake 0.001630
[1253/5000][165/535][129248] Loss_D: -0.020671 Loss_G: 0.011831 Loss_D_real: -0.023206 Loss_D_fake -0.002534
[1253/5000][170/535][129249] Loss_D: -0.018730 Loss_G: 0.032343 Loss_D_real: -0.033088 Loss_D_fake -0.014359
[1253/5000][175/535][129250] Loss_D: -0.019155 Loss_G: -0.007186 Loss_D_real: -0.009555 Loss_D_fake 0.009600
[1253/5000][180/535][129251] Loss_D: -0.019881 Loss_G: 0.011279 Loss_D_real: -0.027728 Loss_D_fake -0.007847
[1253/5000][185/535][129252] Loss_D: -0.020270 Loss_G: 0.023816 Loss_D_real: -0.033039 Loss_D_fake -0.012769
[1253/5000][190/535][129253] Loss_D: -0.020420 Loss_G: 0.000674 Loss_D_real: -0.032886 Loss_D_fake -0.012467
[1253/5000][195/535][129254] Loss_D: -0.020836 Loss_G: 0.001231 Loss_D_real: -0.009624 Loss_D_fake 0.011212
[1253/5000][200/535][129255] Loss_D: -0.020636 Loss_G: 0.023456 Loss_D_real: -0.025342 Loss_D_fake -0.004706
[1253/5000][205/535][129256] Loss_D: -0.019795 Loss_G: -0.002784 Loss_D_real: -0.003403 Loss_D_fake 0.016392
[1253/5000][210/535][129257] Loss_D: -0.019293 Loss_G: 0.003633 Loss_D_real: -0.023605 Loss_D_fake -0.004312
[1253/5000][215/535][129258] Loss_D: -0.019299 Loss_G: -0.000706 Loss_D_real: -0.019736 Loss_D_fake -0.000437
[1253/5000][220/535][129259] Loss_D: -0.021791 Loss_G: 0.019982 Loss_D_real: -0.025751 Loss_D_fake -0.003960
[1253/5000][225/535][129260] Loss_D: -0.020420 Loss_G: 0.024601 Loss_D_real: -0.016493 Loss_D_fake 0.003926
[1253/5000][230/535][129261] Loss_D: -0.019230 Loss_G: 0.025807 Loss_D_real: -0.027079 Loss_D_fake -0.007849
[1253/5000][235/535][129262] Loss_D: -0.020430 Loss_G: 0.001107 Loss_D_real: -0.016810 Loss_D_fake 0.003620
[1253/5000][240/535][129263] Loss_D: -0.021066 Loss_G: 0.010846 Loss_D_real: -0.026969 Loss_D_fake -0.005903
[1253/5000][245/535][129264] Loss_D: -0.021001 Loss_G: 0.000263 Loss_D_real: -0.009977 Loss_D_fake 0.011024
[1253/5000][250/535][129265] Loss_D: -0.022045 Loss_G: -0.001374 Loss_D_real: -0.006135 Loss_D_fake 0.015910
[1253/5000][255/535][129266] Loss_D: -0.020144 Loss_G: 0.018400 Loss_D_real: -0.014238 Loss_D_fake 0.005906
[1253/5000][260/535][129267] Loss_D: -0.021257 Loss_G: 0.016428 Loss_D_real: -0.020924 Loss_D_fake 0.000333
[1253/5000][265/535][129268] Loss_D: -0.020461 Loss_G: 0.020355 Loss_D_real: -0.016519 Loss_D_fake 0.003942
[1253/5000][270/535][129269] Loss_D: -0.019281 Loss_G: 0.020718 Loss_D_real: -0.023318 Loss_D_fake -0.004037
[1253/5000][275/535][129270] Loss_D: -0.020214 Loss_G: -0.003402 Loss_D_real: -0.018613 Loss_D_fake 0.001602
[1253/5000][280/535][129271] Loss_D: -0.019118 Loss_G: -0.004128 Loss_D_real: -0.018856 Loss_D_fake 0.000262
[1253/5000][285/535][129272] Loss_D: -0.019958 Loss_G: 0.003410 Loss_D_real: -0.018800 Loss_D_fake 0.001158
[1253/5000][290/535][129273] Loss_D: -0.020534 Loss_G: 0.021402 Loss_D_real: -0.016582 Loss_D_fake 0.003952
[1253/5000][295/535][129274] Loss_D: -0.018697 Loss_G: 0.007691 Loss_D_real: -0.028192 Loss_D_fake -0.009496
[1253/5000][300/535][129275] Loss_D: -0.021009 Loss_G: 0.023984 Loss_D_real: -0.016105 Loss_D_fake 0.004904
[1253/5000][305/535][129276] Loss_D: -0.019592 Loss_G: 0.001557 Loss_D_real: -0.015176 Loss_D_fake 0.004417
[1253/5000][310/535][129277] Loss_D: -0.020191 Loss_G: 0.014049 Loss_D_real: -0.030373 Loss_D_fake -0.010181
[1253/5000][315/535][129278] Loss_D: -0.020119 Loss_G: 0.010894 Loss_D_real: -0.024158 Loss_D_fake -0.004039
[1253/5000][320/535][129279] Loss_D: -0.020454 Loss_G: -0.004941 Loss_D_real: -0.025625 Loss_D_fake -0.005171
[1253/5000][325/535][129280] Loss_D: -0.020455 Loss_G: -0.000677 Loss_D_real: -0.011038 Loss_D_fake 0.009417
[1253/5000][330/535][129281] Loss_D: -0.019285 Loss_G: 0.008722 Loss_D_real: -0.022852 Loss_D_fake -0.003568
[1253/5000][335/535][129282] Loss_D: -0.019896 Loss_G: -0.000503 Loss_D_real: -0.015722 Loss_D_fake 0.004173
[1253/5000][340/535][129283] Loss_D: -0.020539 Loss_G: 0.012575 Loss_D_real: -0.012353 Loss_D_fake 0.008186
[1253/5000][345/535][129284] Loss_D: -0.019045 Loss_G: 0.032310 Loss_D_real: -0.036465 Loss_D_fake -0.017420
[1253/5000][350/535][129285] Loss_D: -0.020025 Loss_G: 0.000038 Loss_D_real: -0.012455 Loss_D_fake 0.007569
[1253/5000][355/535][129286] Loss_D: -0.019115 Loss_G: 0.017922 Loss_D_real: -0.017131 Loss_D_fake 0.001983
[1253/5000][360/535][129287] Loss_D: -0.020125 Loss_G: 0.018729 Loss_D_real: -0.029217 Loss_D_fake -0.009092
[1253/5000][365/535][129288] Loss_D: -0.020273 Loss_G: -0.007190 Loss_D_real: -0.018928 Loss_D_fake 0.001346
[1253/5000][370/535][129289] Loss_D: -0.021250 Loss_G: 0.002092 Loss_D_real: -0.013847 Loss_D_fake 0.007403
[1253/5000][375/535][129290] Loss_D: -0.020538 Loss_G: 0.006214 Loss_D_real: -0.025537 Loss_D_fake -0.004999
[1253/5000][380/535][129291] Loss_D: -0.020338 Loss_G: -0.003392 Loss_D_real: -0.004107 Loss_D_fake 0.016231
[1253/5000][385/535][129292] Loss_D: -0.018715 Loss_G: 0.015188 Loss_D_real: -0.034506 Loss_D_fake -0.015791
[1253/5000][390/535][129293] Loss_D: -0.019689 Loss_G: 0.003140 Loss_D_real: -0.008737 Loss_D_fake 0.010951
[1253/5000][395/535][129294] Loss_D: -0.021494 Loss_G: 0.005945 Loss_D_real: -0.023354 Loss_D_fake -0.001860
[1253/5000][400/535][129295] Loss_D: -0.020460 Loss_G: -0.005830 Loss_D_real: -0.008620 Loss_D_fake 0.011839
[1253/5000][405/535][129296] Loss_D: -0.020827 Loss_G: -0.000193 Loss_D_real: -0.022370 Loss_D_fake -0.001543
[1253/5000][410/535][129297] Loss_D: -0.020787 Loss_G: 0.007787 Loss_D_real: -0.004369 Loss_D_fake 0.016418
[1253/5000][415/535][129298] Loss_D: -0.019806 Loss_G: 0.017234 Loss_D_real: -0.023739 Loss_D_fake -0.003933
[1253/5000][420/535][129299] Loss_D: -0.019876 Loss_G: 0.007452 Loss_D_real: -0.006348 Loss_D_fake 0.013528
[1253/5000][425/535][129300] Loss_D: -0.019205 Loss_G: 0.014672 Loss_D_real: -0.018795 Loss_D_fake 0.000410
[1253/5000][430/535][129301] Loss_D: -0.019794 Loss_G: 0.009308 Loss_D_real: -0.011834 Loss_D_fake 0.007960
[1253/5000][435/535][129302] Loss_D: -0.019617 Loss_G: 0.015963 Loss_D_real: -0.029895 Loss_D_fake -0.010278
[1253/5000][440/535][129303] Loss_D: -0.019454 Loss_G: -0.005641 Loss_D_real: -0.005215 Loss_D_fake 0.014240
[1253/5000][445/535][129304] Loss_D: -0.019895 Loss_G: 0.009088 Loss_D_real: -0.017533 Loss_D_fake 0.002362
[1253/5000][450/535][129305] Loss_D: -0.019318 Loss_G: 0.007398 Loss_D_real: -0.034363 Loss_D_fake -0.015045
[1253/5000][455/535][129306] Loss_D: -0.019075 Loss_G: 0.011246 Loss_D_real: -0.033727 Loss_D_fake -0.014652
[1253/5000][460/535][129307] Loss_D: -0.019953 Loss_G: 0.022162 Loss_D_real: -0.033790 Loss_D_fake -0.013837
[1253/5000][465/535][129308] Loss_D: -0.020149 Loss_G: 0.000924 Loss_D_real: -0.017496 Loss_D_fake 0.002653
[1253/5000][470/535][129309] Loss_D: -0.020440 Loss_G: 0.019981 Loss_D_real: -0.028958 Loss_D_fake -0.008517
[1253/5000][475/535][129310] Loss_D: -0.020971 Loss_G: 0.010499 Loss_D_real: -0.016626 Loss_D_fake 0.004345
[1253/5000][480/535][129311] Loss_D: -0.019944 Loss_G: 0.007468 Loss_D_real: -0.014885 Loss_D_fake 0.005059
[1253/5000][485/535][129312] Loss_D: -0.019586 Loss_G: 0.014817 Loss_D_real: -0.027761 Loss_D_fake -0.008175
[1253/5000][490/535][129313] Loss_D: -0.020585 Loss_G: 0.004373 Loss_D_real: -0.011167 Loss_D_fake 0.009418
[1253/5000][495/535][129314] Loss_D: -0.021650 Loss_G: -0.015655 Loss_D_real: -0.011241 Loss_D_fake 0.010409
[1253/5000][500/535][129315] Loss_D: -0.019549 Loss_G: 0.029009 Loss_D_real: -0.025779 Loss_D_fake -0.006230
[1253/5000][505/535][129316] Loss_D: -0.018809 Loss_G: 0.023057 Loss_D_real: -0.025366 Loss_D_fake -0.006556
[1253/5000][510/535][129317] Loss_D: -0.020251 Loss_G: -0.014084 Loss_D_real: 0.003133 Loss_D_fake 0.023384
[1253/5000][515/535][129318] Loss_D: -0.020514 Loss_G: 0.004532 Loss_D_real: -0.015208 Loss_D_fake 0.005306
[1253/5000][520/535][129319] Loss_D: -0.019765 Loss_G: 0.010114 Loss_D_real: -0.023643 Loss_D_fake -0.003878
[1253/5000][525/535][129320] Loss_D: -0.019426 Loss_G: -0.011650 Loss_D_real: -0.014394 Loss_D_fake 0.005032
[1253/5000][530/535][129321] Loss_D: -0.020872 Loss_G: 0.010059 Loss_D_real: -0.021689 Loss_D_fake -0.000817
[1253/5000][535/535][129322] Loss_D: -0.020782 Loss_G: 0.000901 Loss_D_real: -0.018347 Loss_D_fake 0.002435
[1254/5000][5/535][129323] Loss_D: -0.019455 Loss_G: 0.018202 Loss_D_real: -0.017298 Loss_D_fake 0.002157
[1254/5000][10/535][129324] Loss_D: -0.018448 Loss_G: -0.004376 Loss_D_real: -0.005505 Loss_D_fake 0.012942
[1254/5000][15/535][129325] Loss_D: -0.019794 Loss_G: -0.008342 Loss_D_real: -0.004918 Loss_D_fake 0.014876
[1254/5000][20/535][129326] Loss_D: -0.020555 Loss_G: 0.015728 Loss_D_real: -0.017626 Loss_D_fake 0.002930
[1254/5000][25/535][129327] Loss_D: -0.019302 Loss_G: -0.005328 Loss_D_real: -0.010240 Loss_D_fake 0.009062
[1254/5000][30/535][129328] Loss_D: -0.020847 Loss_G: 0.015249 Loss_D_real: -0.013520 Loss_D_fake 0.007327
[1254/5000][35/535][129329] Loss_D: -0.018920 Loss_G: 0.013381 Loss_D_real: -0.024166 Loss_D_fake -0.005245
[1254/5000][40/535][129330] Loss_D: -0.021003 Loss_G: 0.006553 Loss_D_real: -0.016496 Loss_D_fake 0.004506
[1254/5000][45/535][129331] Loss_D: -0.018582 Loss_G: -0.011759 Loss_D_real: 0.001498 Loss_D_fake 0.020080
[1254/5000][50/535][129332] Loss_D: -0.018374 Loss_G: 0.003909 Loss_D_real: -0.013827 Loss_D_fake 0.004547
[1254/5000][55/535][129333] Loss_D: -0.020636 Loss_G: -0.000531 Loss_D_real: -0.015528 Loss_D_fake 0.005109
[1254/5000][60/535][129334] Loss_D: -0.021080 Loss_G: 0.007760 Loss_D_real: -0.013803 Loss_D_fake 0.007277
[1254/5000][65/535][129335] Loss_D: -0.020578 Loss_G: 0.013760 Loss_D_real: -0.007730 Loss_D_fake 0.012848
[1254/5000][70/535][129336] Loss_D: -0.020879 Loss_G: 0.005059 Loss_D_real: -0.020442 Loss_D_fake 0.000437
[1254/5000][75/535][129337] Loss_D: -0.020664 Loss_G: 0.008764 Loss_D_real: -0.026703 Loss_D_fake -0.006039
[1254/5000][80/535][129338] Loss_D: -0.019812 Loss_G: -0.012036 Loss_D_real: -0.017858 Loss_D_fake 0.001953
[1254/5000][85/535][129339] Loss_D: -0.021254 Loss_G: 0.008029 Loss_D_real: -0.013766 Loss_D_fake 0.007488
[1254/5000][90/535][129340] Loss_D: -0.020212 Loss_G: 0.018098 Loss_D_real: -0.021960 Loss_D_fake -0.001747
[1254/5000][95/535][129341] Loss_D: -0.020340 Loss_G: 0.024199 Loss_D_real: -0.030634 Loss_D_fake -0.010294
[1254/5000][100/535][129342] Loss_D: -0.020569 Loss_G: -0.000086 Loss_D_real: -0.017967 Loss_D_fake 0.002602
[1254/5000][105/535][129343] Loss_D: -0.019506 Loss_G: -0.006310 Loss_D_real: -0.007063 Loss_D_fake 0.012443
[1254/5000][110/535][129344] Loss_D: -0.019348 Loss_G: -0.005541 Loss_D_real: -0.008027 Loss_D_fake 0.011322
[1254/5000][115/535][129345] Loss_D: -0.019667 Loss_G: 0.004264 Loss_D_real: -0.022006 Loss_D_fake -0.002339
[1254/5000][120/535][129346] Loss_D: -0.021396 Loss_G: 0.003827 Loss_D_real: -0.017630 Loss_D_fake 0.003766
[1254/5000][125/535][129347] Loss_D: -0.020203 Loss_G: 0.022826 Loss_D_real: -0.029696 Loss_D_fake -0.009492
[1254/5000][130/535][129348] Loss_D: -0.020716 Loss_G: 0.004700 Loss_D_real: -0.013527 Loss_D_fake 0.007189
[1254/5000][135/535][129349] Loss_D: -0.019485 Loss_G: 0.022404 Loss_D_real: -0.024529 Loss_D_fake -0.005044
[1254/5000][140/535][129350] Loss_D: -0.020497 Loss_G: -0.007405 Loss_D_real: -0.006396 Loss_D_fake 0.014100
[1254/5000][145/535][129351] Loss_D: -0.021938 Loss_G: -0.005871 Loss_D_real: -0.015364 Loss_D_fake 0.006574
[1254/5000][150/535][129352] Loss_D: -0.020044 Loss_G: 0.007767 Loss_D_real: -0.012345 Loss_D_fake 0.007698
[1254/5000][155/535][129353] Loss_D: -0.020110 Loss_G: 0.006472 Loss_D_real: -0.012890 Loss_D_fake 0.007220
[1254/5000][160/535][129354] Loss_D: -0.019390 Loss_G: 0.004064 Loss_D_real: -0.017024 Loss_D_fake 0.002366
[1254/5000][165/535][129355] Loss_D: -0.019805 Loss_G: 0.007952 Loss_D_real: -0.028098 Loss_D_fake -0.008292
[1254/5000][170/535][129356] Loss_D: -0.020329 Loss_G: 0.020718 Loss_D_real: -0.028457 Loss_D_fake -0.008128
[1254/5000][175/535][129357] Loss_D: -0.021073 Loss_G: 0.003761 Loss_D_real: -0.022965 Loss_D_fake -0.001892
[1254/5000][180/535][129358] Loss_D: -0.021370 Loss_G: 0.006888 Loss_D_real: -0.021851 Loss_D_fake -0.000481
[1254/5000][185/535][129359] Loss_D: -0.020348 Loss_G: -0.006802 Loss_D_real: -0.016987 Loss_D_fake 0.003361
[1254/5000][190/535][129360] Loss_D: -0.019476 Loss_G: 0.030994 Loss_D_real: -0.028771 Loss_D_fake -0.009295
[1254/5000][195/535][129361] Loss_D: -0.019738 Loss_G: 0.007692 Loss_D_real: -0.019546 Loss_D_fake 0.000193
[1254/5000][200/535][129362] Loss_D: -0.021844 Loss_G: -0.001259 Loss_D_real: -0.028199 Loss_D_fake -0.006355
[1254/5000][205/535][129363] Loss_D: -0.018979 Loss_G: -0.008771 Loss_D_real: -0.007976 Loss_D_fake 0.011003
[1254/5000][210/535][129364] Loss_D: -0.018434 Loss_G: 0.004152 Loss_D_real: -0.013678 Loss_D_fake 0.004755
[1254/5000][215/535][129365] Loss_D: -0.019297 Loss_G: 0.006582 Loss_D_real: -0.021912 Loss_D_fake -0.002615
[1254/5000][220/535][129366] Loss_D: -0.019777 Loss_G: 0.014818 Loss_D_real: -0.029758 Loss_D_fake -0.009981
[1254/5000][225/535][129367] Loss_D: -0.019041 Loss_G: 0.001535 Loss_D_real: -0.013283 Loss_D_fake 0.005758
[1254/5000][230/535][129368] Loss_D: -0.020078 Loss_G: 0.020195 Loss_D_real: -0.024877 Loss_D_fake -0.004798
[1254/5000][235/535][129369] Loss_D: -0.019849 Loss_G: -0.000426 Loss_D_real: -0.013467 Loss_D_fake 0.006382
[1254/5000][240/535][129370] Loss_D: -0.019421 Loss_G: -0.005642 Loss_D_real: 0.000287 Loss_D_fake 0.019708
[1254/5000][245/535][129371] Loss_D: -0.018556 Loss_G: 0.025070 Loss_D_real: -0.033737 Loss_D_fake -0.015181
[1254/5000][250/535][129372] Loss_D: -0.019417 Loss_G: 0.024964 Loss_D_real: -0.015214 Loss_D_fake 0.004204
[1254/5000][255/535][129373] Loss_D: -0.020874 Loss_G: 0.014026 Loss_D_real: -0.027983 Loss_D_fake -0.007109
[1254/5000][260/535][129374] Loss_D: -0.020057 Loss_G: -0.010567 Loss_D_real: -0.017000 Loss_D_fake 0.003057
[1254/5000][265/535][129375] Loss_D: -0.021654 Loss_G: 0.016715 Loss_D_real: -0.022678 Loss_D_fake -0.001024
[1254/5000][270/535][129376] Loss_D: -0.020532 Loss_G: -0.020751 Loss_D_real: -0.006307 Loss_D_fake 0.014226
[1254/5000][275/535][129377] Loss_D: -0.019883 Loss_G: 0.008466 Loss_D_real: -0.022379 Loss_D_fake -0.002496
[1254/5000][280/535][129378] Loss_D: -0.019224 Loss_G: -0.009047 Loss_D_real: 0.003982 Loss_D_fake 0.023206
[1254/5000][285/535][129379] Loss_D: -0.019773 Loss_G: 0.019934 Loss_D_real: -0.021660 Loss_D_fake -0.001887
[1254/5000][290/535][129380] Loss_D: -0.020068 Loss_G: 0.000638 Loss_D_real: -0.024842 Loss_D_fake -0.004774
[1254/5000][295/535][129381] Loss_D: -0.020183 Loss_G: 0.007930 Loss_D_real: -0.016204 Loss_D_fake 0.003978
[1254/5000][300/535][129382] Loss_D: -0.020008 Loss_G: 0.016737 Loss_D_real: -0.022693 Loss_D_fake -0.002684
[1254/5000][305/535][129383] Loss_D: -0.020131 Loss_G: -0.006118 Loss_D_real: -0.008949 Loss_D_fake 0.011183
[1254/5000][310/535][129384] Loss_D: -0.019794 Loss_G: 0.011757 Loss_D_real: -0.020444 Loss_D_fake -0.000651
[1254/5000][315/535][129385] Loss_D: -0.020798 Loss_G: -0.000701 Loss_D_real: -0.016402 Loss_D_fake 0.004396
[1254/5000][320/535][129386] Loss_D: -0.019162 Loss_G: 0.006316 Loss_D_real: -0.027433 Loss_D_fake -0.008271
[1254/5000][325/535][129387] Loss_D: -0.020184 Loss_G: 0.024547 Loss_D_real: -0.020671 Loss_D_fake -0.000487
[1254/5000][330/535][129388] Loss_D: -0.020657 Loss_G: 0.004269 Loss_D_real: -0.022377 Loss_D_fake -0.001720
[1254/5000][335/535][129389] Loss_D: -0.020651 Loss_G: 0.018443 Loss_D_real: -0.010402 Loss_D_fake 0.010249
[1254/5000][340/535][129390] Loss_D: -0.020029 Loss_G: -0.008434 Loss_D_real: -0.002332 Loss_D_fake 0.017697
[1254/5000][345/535][129391] Loss_D: -0.019494 Loss_G: 0.013335 Loss_D_real: -0.020598 Loss_D_fake -0.001104
[1254/5000][350/535][129392] Loss_D: -0.020656 Loss_G: 0.014099 Loss_D_real: -0.018900 Loss_D_fake 0.001756
[1254/5000][355/535][129393] Loss_D: -0.020854 Loss_G: -0.007448 Loss_D_real: -0.008852 Loss_D_fake 0.012002
[1254/5000][360/535][129394] Loss_D: -0.020415 Loss_G: 0.017679 Loss_D_real: -0.025549 Loss_D_fake -0.005134
[1254/5000][365/535][129395] Loss_D: -0.019554 Loss_G: 0.012608 Loss_D_real: -0.010446 Loss_D_fake 0.009108
[1254/5000][370/535][129396] Loss_D: -0.020977 Loss_G: -0.009097 Loss_D_real: -0.006037 Loss_D_fake 0.014941
[1254/5000][375/535][129397] Loss_D: -0.018826 Loss_G: 0.015128 Loss_D_real: -0.013128 Loss_D_fake 0.005698
[1254/5000][380/535][129398] Loss_D: -0.018862 Loss_G: -0.004605 Loss_D_real: -0.006295 Loss_D_fake 0.012567
[1254/5000][385/535][129399] Loss_D: -0.018324 Loss_G: -0.004855 Loss_D_real: -0.005562 Loss_D_fake 0.012762
[1254/5000][390/535][129400] Loss_D: -0.019792 Loss_G: 0.004449 Loss_D_real: -0.007331 Loss_D_fake 0.012461
[1254/5000][395/535][129401] Loss_D: -0.020440 Loss_G: 0.003355 Loss_D_real: -0.009211 Loss_D_fake 0.011229
[1254/5000][400/535][129402] Loss_D: -0.018212 Loss_G: 0.009424 Loss_D_real: -0.027400 Loss_D_fake -0.009187
[1254/5000][405/535][129403] Loss_D: -0.020561 Loss_G: 0.020432 Loss_D_real: -0.034462 Loss_D_fake -0.013901
[1254/5000][410/535][129404] Loss_D: -0.020887 Loss_G: 0.011143 Loss_D_real: -0.009949 Loss_D_fake 0.010938
[1254/5000][415/535][129405] Loss_D: -0.019007 Loss_G: 0.012030 Loss_D_real: -0.014958 Loss_D_fake 0.004049
[1254/5000][420/535][129406] Loss_D: -0.018798 Loss_G: 0.017591 Loss_D_real: -0.038738 Loss_D_fake -0.019940
[1254/5000][425/535][129407] Loss_D: -0.020440 Loss_G: 0.007898 Loss_D_real: -0.007872 Loss_D_fake 0.012567
[1254/5000][430/535][129408] Loss_D: -0.020270 Loss_G: -0.007965 Loss_D_real: -0.007026 Loss_D_fake 0.013243
[1254/5000][435/535][129409] Loss_D: -0.020416 Loss_G: 0.020909 Loss_D_real: -0.023428 Loss_D_fake -0.003012
[1254/5000][440/535][129410] Loss_D: -0.020724 Loss_G: 0.004309 Loss_D_real: -0.023460 Loss_D_fake -0.002736
[1254/5000][445/535][129411] Loss_D: -0.020842 Loss_G: 0.000796 Loss_D_real: -0.010648 Loss_D_fake 0.010195
[1254/5000][450/535][129412] Loss_D: -0.019043 Loss_G: 0.014967 Loss_D_real: -0.032626 Loss_D_fake -0.013583
[1254/5000][455/535][129413] Loss_D: -0.020477 Loss_G: 0.007766 Loss_D_real: -0.008549 Loss_D_fake 0.011927
[1254/5000][460/535][129414] Loss_D: -0.020331 Loss_G: 0.015318 Loss_D_real: -0.014490 Loss_D_fake 0.005841
[1254/5000][465/535][129415] Loss_D: -0.020088 Loss_G: -0.003404 Loss_D_real: -0.006545 Loss_D_fake 0.013543
[1254/5000][470/535][129416] Loss_D: -0.019272 Loss_G: 0.018577 Loss_D_real: -0.030795 Loss_D_fake -0.011522
[1254/5000][475/535][129417] Loss_D: -0.020443 Loss_G: 0.016585 Loss_D_real: -0.019522 Loss_D_fake 0.000921
[1254/5000][480/535][129418] Loss_D: -0.020479 Loss_G: 0.005185 Loss_D_real: -0.019742 Loss_D_fake 0.000737
[1254/5000][485/535][129419] Loss_D: -0.021126 Loss_G: -0.000150 Loss_D_real: -0.022387 Loss_D_fake -0.001261
[1254/5000][490/535][129420] Loss_D: -0.019013 Loss_G: 0.021760 Loss_D_real: -0.031865 Loss_D_fake -0.012851
[1254/5000][495/535][129421] Loss_D: -0.020404 Loss_G: -0.008015 Loss_D_real: -0.010542 Loss_D_fake 0.009862
[1254/5000][500/535][129422] Loss_D: -0.020057 Loss_G: 0.010549 Loss_D_real: -0.023309 Loss_D_fake -0.003252
[1254/5000][505/535][129423] Loss_D: -0.021444 Loss_G: 0.026096 Loss_D_real: -0.019928 Loss_D_fake 0.001516
[1254/5000][510/535][129424] Loss_D: -0.019154 Loss_G: 0.005326 Loss_D_real: -0.031260 Loss_D_fake -0.012106
[1254/5000][515/535][129425] Loss_D: -0.021508 Loss_G: -0.000427 Loss_D_real: -0.021260 Loss_D_fake 0.000248
[1254/5000][520/535][129426] Loss_D: -0.020103 Loss_G: 0.001099 Loss_D_real: -0.007121 Loss_D_fake 0.012982
[1254/5000][525/535][129427] Loss_D: -0.021022 Loss_G: 0.003748 Loss_D_real: -0.012503 Loss_D_fake 0.008518
[1254/5000][530/535][129428] Loss_D: -0.019885 Loss_G: 0.002484 Loss_D_real: -0.008360 Loss_D_fake 0.011525
[1254/5000][535/535][129429] Loss_D: -0.020360 Loss_G: 0.025524 Loss_D_real: -0.016820 Loss_D_fake 0.003539
[1255/5000][5/535][129430] Loss_D: -0.020191 Loss_G: 0.005930 Loss_D_real: -0.007205 Loss_D_fake 0.012986
[1255/5000][10/535][129431] Loss_D: -0.019713 Loss_G: 0.019805 Loss_D_real: -0.022784 Loss_D_fake -0.003071
[1255/5000][15/535][129432] Loss_D: -0.019676 Loss_G: 0.022326 Loss_D_real: -0.034659 Loss_D_fake -0.014984
[1255/5000][20/535][129433] Loss_D: -0.020058 Loss_G: -0.003255 Loss_D_real: -0.010012 Loss_D_fake 0.010046
[1255/5000][25/535][129434] Loss_D: -0.020288 Loss_G: 0.022940 Loss_D_real: -0.028992 Loss_D_fake -0.008704
[1255/5000][30/535][129435] Loss_D: -0.020304 Loss_G: 0.009589 Loss_D_real: -0.009367 Loss_D_fake 0.010937
[1255/5000][35/535][129436] Loss_D: -0.020808 Loss_G: 0.018052 Loss_D_real: -0.026873 Loss_D_fake -0.006065
[1255/5000][40/535][129437] Loss_D: -0.019021 Loss_G: -0.004782 Loss_D_real: -0.017879 Loss_D_fake 0.001142
[1255/5000][45/535][129438] Loss_D: -0.019402 Loss_G: -0.000502 Loss_D_real: -0.016834 Loss_D_fake 0.002568
[1255/5000][50/535][129439] Loss_D: -0.019677 Loss_G: 0.017149 Loss_D_real: -0.031526 Loss_D_fake -0.011850
[1255/5000][55/535][129440] Loss_D: -0.018938 Loss_G: 0.004678 Loss_D_real: -0.018607 Loss_D_fake 0.000331
[1255/5000][60/535][129441] Loss_D: -0.021021 Loss_G: -0.004191 Loss_D_real: -0.009836 Loss_D_fake 0.011185
[1255/5000][65/535][129442] Loss_D: -0.022538 Loss_G: 0.000293 Loss_D_real: -0.021447 Loss_D_fake 0.001091
[1255/5000][70/535][129443] Loss_D: -0.021479 Loss_G: 0.001876 Loss_D_real: -0.014000 Loss_D_fake 0.007479
[1255/5000][75/535][129444] Loss_D: -0.019710 Loss_G: -0.015862 Loss_D_real: -0.003862 Loss_D_fake 0.015848
[1255/5000][80/535][129445] Loss_D: -0.019966 Loss_G: 0.011612 Loss_D_real: -0.020866 Loss_D_fake -0.000900
[1255/5000][85/535][129446] Loss_D: -0.020616 Loss_G: -0.005270 Loss_D_real: -0.006640 Loss_D_fake 0.013976
[1255/5000][90/535][129447] Loss_D: -0.020540 Loss_G: 0.005787 Loss_D_real: -0.023353 Loss_D_fake -0.002813
[1255/5000][95/535][129448] Loss_D: -0.019610 Loss_G: 0.007447 Loss_D_real: -0.014756 Loss_D_fake 0.004854
[1255/5000][100/535][129449] Loss_D: -0.019909 Loss_G: 0.007516 Loss_D_real: -0.012675 Loss_D_fake 0.007234
[1255/5000][105/535][129450] Loss_D: -0.018595 Loss_G: 0.015163 Loss_D_real: -0.027756 Loss_D_fake -0.009161
[1255/5000][110/535][129451] Loss_D: -0.019477 Loss_G: 0.010668 Loss_D_real: -0.021107 Loss_D_fake -0.001629
[1255/5000][115/535][129452] Loss_D: -0.020207 Loss_G: 0.007604 Loss_D_real: -0.016977 Loss_D_fake 0.003230
[1255/5000][120/535][129453] Loss_D: -0.021481 Loss_G: 0.011159 Loss_D_real: -0.023257 Loss_D_fake -0.001776
[1255/5000][125/535][129454] Loss_D: -0.021230 Loss_G: 0.013465 Loss_D_real: -0.020423 Loss_D_fake 0.000807
[1255/5000][130/535][129455] Loss_D: -0.020400 Loss_G: 0.028834 Loss_D_real: -0.025798 Loss_D_fake -0.005398
[1255/5000][135/535][129456] Loss_D: -0.020374 Loss_G: 0.003121 Loss_D_real: -0.010901 Loss_D_fake 0.009472
[1255/5000][140/535][129457] Loss_D: -0.020133 Loss_G: 0.014756 Loss_D_real: -0.023267 Loss_D_fake -0.003134
[1255/5000][145/535][129458] Loss_D: -0.020624 Loss_G: 0.004115 Loss_D_real: -0.007359 Loss_D_fake 0.013265
[1255/5000][150/535][129459] Loss_D: -0.019098 Loss_G: 0.022208 Loss_D_real: -0.025280 Loss_D_fake -0.006182
[1255/5000][155/535][129460] Loss_D: -0.020548 Loss_G: 0.002687 Loss_D_real: -0.008619 Loss_D_fake 0.011929
[1255/5000][160/535][129461] Loss_D: -0.019616 Loss_G: 0.014470 Loss_D_real: -0.005612 Loss_D_fake 0.014003
[1255/5000][165/535][129462] Loss_D: -0.020266 Loss_G: 0.007658 Loss_D_real: -0.014506 Loss_D_fake 0.005761
[1255/5000][170/535][129463] Loss_D: -0.019950 Loss_G: 0.013408 Loss_D_real: -0.017594 Loss_D_fake 0.002356
[1255/5000][175/535][129464] Loss_D: -0.019157 Loss_G: -0.004466 Loss_D_real: -0.022709 Loss_D_fake -0.003552
[1255/5000][180/535][129465] Loss_D: -0.018853 Loss_G: 0.014602 Loss_D_real: -0.020323 Loss_D_fake -0.001470
[1255/5000][185/535][129466] Loss_D: -0.019501 Loss_G: 0.020073 Loss_D_real: -0.018584 Loss_D_fake 0.000917
[1255/5000][190/535][129467] Loss_D: -0.021561 Loss_G: -0.011424 Loss_D_real: -0.012965 Loss_D_fake 0.008597
[1255/5000][195/535][129468] Loss_D: -0.019846 Loss_G: 0.010935 Loss_D_real: -0.010305 Loss_D_fake 0.009541
[1255/5000][200/535][129469] Loss_D: -0.020723 Loss_G: -0.003919 Loss_D_real: -0.023070 Loss_D_fake -0.002347
[1255/5000][205/535][129470] Loss_D: -0.019660 Loss_G: 0.005667 Loss_D_real: -0.018296 Loss_D_fake 0.001365
[1255/5000][210/535][129471] Loss_D: -0.017134 Loss_G: 0.028668 Loss_D_real: -0.027849 Loss_D_fake -0.010715
[1255/5000][215/535][129472] Loss_D: -0.019892 Loss_G: -0.019499 Loss_D_real: -0.007025 Loss_D_fake 0.012866
[1255/5000][220/535][129473] Loss_D: -0.018844 Loss_G: 0.012277 Loss_D_real: -0.033120 Loss_D_fake -0.014275
[1255/5000][225/535][129474] Loss_D: -0.021786 Loss_G: 0.005710 Loss_D_real: -0.013028 Loss_D_fake 0.008758
[1255/5000][230/535][129475] Loss_D: -0.020219 Loss_G: 0.022719 Loss_D_real: -0.014055 Loss_D_fake 0.006164
[1255/5000][235/535][129476] Loss_D: -0.018030 Loss_G: 0.020964 Loss_D_real: -0.027276 Loss_D_fake -0.009246
[1255/5000][240/535][129477] Loss_D: -0.019033 Loss_G: 0.011288 Loss_D_real: 0.002436 Loss_D_fake 0.021468
[1255/5000][245/535][129478] Loss_D: -0.019425 Loss_G: 0.007282 Loss_D_real: -0.030477 Loss_D_fake -0.011052
[1255/5000][250/535][129479] Loss_D: -0.020000 Loss_G: -0.000264 Loss_D_real: -0.004780 Loss_D_fake 0.015220
[1255/5000][255/535][129480] Loss_D: -0.018867 Loss_G: 0.021101 Loss_D_real: -0.018410 Loss_D_fake 0.000458
[1255/5000][260/535][129481] Loss_D: -0.020467 Loss_G: 0.003005 Loss_D_real: -0.011403 Loss_D_fake 0.009064
[1255/5000][265/535][129482] Loss_D: -0.021717 Loss_G: 0.011128 Loss_D_real: -0.028576 Loss_D_fake -0.006860
[1255/5000][270/535][129483] Loss_D: -0.019584 Loss_G: 0.002086 Loss_D_real: -0.001887 Loss_D_fake 0.017698
[1255/5000][275/535][129484] Loss_D: -0.020855 Loss_G: 0.012062 Loss_D_real: -0.013807 Loss_D_fake 0.007048
[1255/5000][280/535][129485] Loss_D: -0.020249 Loss_G: -0.007240 Loss_D_real: -0.023001 Loss_D_fake -0.002752
[1255/5000][285/535][129486] Loss_D: -0.019577 Loss_G: 0.023282 Loss_D_real: -0.027806 Loss_D_fake -0.008229
[1255/5000][290/535][129487] Loss_D: -0.019989 Loss_G: 0.004012 Loss_D_real: -0.020025 Loss_D_fake -0.000036
[1255/5000][295/535][129488] Loss_D: -0.020861 Loss_G: 0.017410 Loss_D_real: -0.023854 Loss_D_fake -0.002994
[1255/5000][300/535][129489] Loss_D: -0.019850 Loss_G: 0.011749 Loss_D_real: -0.016969 Loss_D_fake 0.002881
[1255/5000][305/535][129490] Loss_D: -0.018669 Loss_G: 0.025371 Loss_D_real: -0.027681 Loss_D_fake -0.009012
[1255/5000][310/535][129491] Loss_D: -0.020269 Loss_G: 0.012320 Loss_D_real: -0.020440 Loss_D_fake -0.000171
[1255/5000][315/535][129492] Loss_D: -0.018982 Loss_G: 0.022601 Loss_D_real: -0.024183 Loss_D_fake -0.005201
[1255/5000][320/535][129493] Loss_D: -0.019827 Loss_G: 0.004023 Loss_D_real: -0.020578 Loss_D_fake -0.000751
[1255/5000][325/535][129494] Loss_D: -0.021000 Loss_G: 0.018143 Loss_D_real: -0.022233 Loss_D_fake -0.001233
[1255/5000][330/535][129495] Loss_D: -0.020306 Loss_G: 0.013351 Loss_D_real: -0.020704 Loss_D_fake -0.000398
[1255/5000][335/535][129496] Loss_D: -0.019851 Loss_G: 0.008758 Loss_D_real: -0.010960 Loss_D_fake 0.008891
[1255/5000][340/535][129497] Loss_D: -0.021691 Loss_G: -0.009933 Loss_D_real: -0.017472 Loss_D_fake 0.004220
[1255/5000][345/535][129498] Loss_D: -0.019571 Loss_G: 0.002207 Loss_D_real: -0.016820 Loss_D_fake 0.002751
[1255/5000][350/535][129499] Loss_D: -0.020240 Loss_G: -0.006223 Loss_D_real: -0.003689 Loss_D_fake 0.016551
[1255/5000][355/535][129500] Loss_D: -0.019848 Loss_G: -0.003743 Loss_D_real: -0.011343 Loss_D_fake 0.008505
[1255/5000][455/535][129501] Loss_D: -0.022745 Loss_G: 0.000750 Loss_D_real: -0.013098 Loss_D_fake 0.009647
[1255/5000][460/535][129502] Loss_D: -0.021452 Loss_G: 0.001524 Loss_D_real: -0.011026 Loss_D_fake 0.010426
[1255/5000][465/535][129503] Loss_D: -0.018796 Loss_G: 0.016466 Loss_D_real: -0.018768 Loss_D_fake 0.000028
[1255/5000][470/535][129504] Loss_D: -0.017037 Loss_G: 0.014340 Loss_D_real: -0.023949 Loss_D_fake -0.006912
[1255/5000][475/535][129505] Loss_D: -0.018983 Loss_G: -0.003264 Loss_D_real: -0.013592 Loss_D_fake 0.005390
[1255/5000][480/535][129506] Loss_D: -0.018550 Loss_G: -0.001456 Loss_D_real: -0.013421 Loss_D_fake 0.005130
[1255/5000][485/535][129507] Loss_D: -0.018954 Loss_G: 0.008583 Loss_D_real: -0.010110 Loss_D_fake 0.008844
[1255/5000][490/535][129508] Loss_D: -0.020021 Loss_G: 0.005226 Loss_D_real: -0.016909 Loss_D_fake 0.003112
[1255/5000][495/535][129509] Loss_D: -0.019414 Loss_G: 0.016363 Loss_D_real: -0.018059 Loss_D_fake 0.001355
[1255/5000][500/535][129510] Loss_D: -0.017324 Loss_G: 0.017808 Loss_D_real: -0.034696 Loss_D_fake -0.017371
[1255/5000][505/535][129511] Loss_D: -0.018529 Loss_G: -0.010681 Loss_D_real: -0.001007 Loss_D_fake 0.017522
[1255/5000][510/535][129512] Loss_D: -0.020986 Loss_G: 0.015797 Loss_D_real: -0.015429 Loss_D_fake 0.005557
[1255/5000][515/535][129513] Loss_D: -0.020517 Loss_G: -0.002758 Loss_D_real: 0.003260 Loss_D_fake 0.023777
[1255/5000][520/535][129514] Loss_D: -0.019196 Loss_G: -0.002019 Loss_D_real: -0.012180 Loss_D_fake 0.007016
[1255/5000][525/535][129515] Loss_D: -0.019959 Loss_G: 0.020481 Loss_D_real: -0.029567 Loss_D_fake -0.009608
[1255/5000][530/535][129516] Loss_D: -0.019838 Loss_G: 0.006900 Loss_D_real: -0.023304 Loss_D_fake -0.003466
[1255/5000][535/535][129517] Loss_D: -0.022079 Loss_G: -0.022480 Loss_D_real: -0.031804 Loss_D_fake -0.009725
[1256/5000][5/535][129518] Loss_D: -0.019723 Loss_G: 0.006545 Loss_D_real: -0.011617 Loss_D_fake 0.008106
[1256/5000][10/535][129519] Loss_D: -0.020353 Loss_G: 0.006749 Loss_D_real: -0.016669 Loss_D_fake 0.003684
[1256/5000][15/535][129520] Loss_D: -0.019300 Loss_G: 0.005648 Loss_D_real: -0.015823 Loss_D_fake 0.003476
[1256/5000][20/535][129521] Loss_D: -0.019871 Loss_G: -0.001945 Loss_D_real: -0.013299 Loss_D_fake 0.006571
[1256/5000][25/535][129522] Loss_D: -0.019515 Loss_G: -0.000160 Loss_D_real: -0.003669 Loss_D_fake 0.015846
[1256/5000][30/535][129523] Loss_D: -0.020710 Loss_G: 0.012855 Loss_D_real: -0.022817 Loss_D_fake -0.002108
[1256/5000][35/535][129524] Loss_D: -0.017384 Loss_G: 0.019603 Loss_D_real: -0.030539 Loss_D_fake -0.013155
[1256/5000][40/535][129525] Loss_D: -0.019702 Loss_G: 0.001763 Loss_D_real: -0.013416 Loss_D_fake 0.006286
[1256/5000][45/535][129526] Loss_D: -0.019578 Loss_G: -0.013172 Loss_D_real: -0.006398 Loss_D_fake 0.013180
[1256/5000][50/535][129527] Loss_D: -0.019118 Loss_G: 0.015361 Loss_D_real: -0.020523 Loss_D_fake -0.001405
[1256/5000][55/535][129528] Loss_D: -0.021254 Loss_G: 0.016575 Loss_D_real: -0.032727 Loss_D_fake -0.011473
[1256/5000][60/535][129529] Loss_D: -0.018749 Loss_G: 0.025616 Loss_D_real: -0.014806 Loss_D_fake 0.003943
[1256/5000][65/535][129530] Loss_D: -0.020310 Loss_G: 0.004168 Loss_D_real: -0.026343 Loss_D_fake -0.006033
[1256/5000][70/535][129531] Loss_D: -0.020764 Loss_G: -0.004539 Loss_D_real: -0.011651 Loss_D_fake 0.009112
[1256/5000][75/535][129532] Loss_D: -0.019126 Loss_G: 0.010671 Loss_D_real: -0.030113 Loss_D_fake -0.010987
[1256/5000][80/535][129533] Loss_D: -0.020138 Loss_G: 0.006559 Loss_D_real: -0.024869 Loss_D_fake -0.004730
[1256/5000][85/535][129534] Loss_D: -0.020071 Loss_G: -0.003967 Loss_D_real: -0.008277 Loss_D_fake 0.011794
[1256/5000][90/535][129535] Loss_D: -0.019489 Loss_G: 0.008170 Loss_D_real: -0.021870 Loss_D_fake -0.002381
[1256/5000][95/535][129536] Loss_D: -0.019819 Loss_G: 0.006880 Loss_D_real: -0.018982 Loss_D_fake 0.000836
[1256/5000][100/535][129537] Loss_D: -0.019845 Loss_G: 0.013433 Loss_D_real: -0.024151 Loss_D_fake -0.004306
[1256/5000][105/535][129538] Loss_D: -0.021685 Loss_G: 0.019206 Loss_D_real: -0.020175 Loss_D_fake 0.001510
[1256/5000][110/535][129539] Loss_D: -0.021160 Loss_G: 0.000370 Loss_D_real: -0.016422 Loss_D_fake 0.004737
[1256/5000][115/535][129540] Loss_D: -0.021394 Loss_G: 0.008799 Loss_D_real: -0.005330 Loss_D_fake 0.016064
[1256/5000][120/535][129541] Loss_D: -0.019900 Loss_G: 0.001914 Loss_D_real: -0.017216 Loss_D_fake 0.002683
[1256/5000][125/535][129542] Loss_D: -0.020845 Loss_G: 0.009579 Loss_D_real: -0.020168 Loss_D_fake 0.000677
[1256/5000][130/535][129543] Loss_D: -0.021045 Loss_G: 0.011579 Loss_D_real: -0.015137 Loss_D_fake 0.005909
[1256/5000][135/535][129544] Loss_D: -0.019495 Loss_G: 0.018965 Loss_D_real: -0.018955 Loss_D_fake 0.000539
[1256/5000][140/535][129545] Loss_D: -0.020497 Loss_G: -0.011244 Loss_D_real: -0.007148 Loss_D_fake 0.013349
[1256/5000][145/535][129546] Loss_D: -0.020955 Loss_G: 0.018719 Loss_D_real: -0.020717 Loss_D_fake 0.000238
[1256/5000][150/535][129547] Loss_D: -0.019274 Loss_G: -0.003983 Loss_D_real: -0.012529 Loss_D_fake 0.006744
[1256/5000][155/535][129548] Loss_D: -0.017946 Loss_G: 0.030368 Loss_D_real: -0.034131 Loss_D_fake -0.016185
[1256/5000][160/535][129549] Loss_D: -0.018825 Loss_G: 0.014451 Loss_D_real: -0.042964 Loss_D_fake -0.024140
[1256/5000][165/535][129550] Loss_D: -0.019932 Loss_G: -0.011597 Loss_D_real: -0.003797 Loss_D_fake 0.016135
[1256/5000][170/535][129551] Loss_D: -0.019647 Loss_G: 0.008111 Loss_D_real: -0.018431 Loss_D_fake 0.001216
[1256/5000][175/535][129552] Loss_D: -0.020280 Loss_G: -0.008240 Loss_D_real: -0.003871 Loss_D_fake 0.016410
[1256/5000][180/535][129553] Loss_D: -0.020072 Loss_G: 0.002328 Loss_D_real: -0.016211 Loss_D_fake 0.003861
[1256/5000][185/535][129554] Loss_D: -0.019857 Loss_G: -0.010365 Loss_D_real: -0.010749 Loss_D_fake 0.009107
[1256/5000][190/535][129555] Loss_D: -0.018910 Loss_G: 0.028299 Loss_D_real: -0.031604 Loss_D_fake -0.012694
[1256/5000][195/535][129556] Loss_D: -0.018646 Loss_G: -0.007573 Loss_D_real: -0.002018 Loss_D_fake 0.016628
[1256/5000][200/535][129557] Loss_D: -0.019386 Loss_G: 0.004702 Loss_D_real: 0.000483 Loss_D_fake 0.019869
[1256/5000][205/535][129558] Loss_D: -0.020254 Loss_G: 0.003752 Loss_D_real: -0.013394 Loss_D_fake 0.006860
[1256/5000][210/535][129559] Loss_D: -0.019577 Loss_G: -0.004994 Loss_D_real: -0.008414 Loss_D_fake 0.011163
[1256/5000][215/535][129560] Loss_D: -0.022348 Loss_G: 0.015404 Loss_D_real: -0.017319 Loss_D_fake 0.005029
[1256/5000][220/535][129561] Loss_D: -0.019626 Loss_G: 0.003929 Loss_D_real: -0.015395 Loss_D_fake 0.004232
[1256/5000][225/535][129562] Loss_D: -0.020890 Loss_G: 0.011715 Loss_D_real: -0.020537 Loss_D_fake 0.000353
[1256/5000][230/535][129563] Loss_D: -0.020615 Loss_G: 0.014922 Loss_D_real: -0.023501 Loss_D_fake -0.002886
[1256/5000][235/535][129564] Loss_D: -0.019196 Loss_G: 0.002626 Loss_D_real: -0.013432 Loss_D_fake 0.005763
[1256/5000][240/535][129565] Loss_D: -0.020760 Loss_G: 0.016519 Loss_D_real: -0.032672 Loss_D_fake -0.011912
[1256/5000][245/535][129566] Loss_D: -0.018759 Loss_G: 0.028688 Loss_D_real: -0.025744 Loss_D_fake -0.006985
[1256/5000][250/535][129567] Loss_D: -0.022226 Loss_G: 0.009270 Loss_D_real: -0.022120 Loss_D_fake 0.000106
[1256/5000][255/535][129568] Loss_D: -0.020730 Loss_G: -0.010407 Loss_D_real: -0.003423 Loss_D_fake 0.017307
[1256/5000][260/535][129569] Loss_D: -0.019935 Loss_G: -0.007557 Loss_D_real: -0.001523 Loss_D_fake 0.018411
[1256/5000][265/535][129570] Loss_D: -0.019480 Loss_G: 0.008083 Loss_D_real: -0.031922 Loss_D_fake -0.012442
[1256/5000][270/535][129571] Loss_D: -0.020097 Loss_G: 0.008993 Loss_D_real: -0.013145 Loss_D_fake 0.006952
[1256/5000][275/535][129572] Loss_D: -0.020174 Loss_G: 0.005949 Loss_D_real: -0.020829 Loss_D_fake -0.000655
[1256/5000][280/535][129573] Loss_D: -0.019445 Loss_G: 0.004655 Loss_D_real: -0.010976 Loss_D_fake 0.008469
[1256/5000][285/535][129574] Loss_D: -0.020004 Loss_G: 0.020060 Loss_D_real: -0.020111 Loss_D_fake -0.000106
[1256/5000][290/535][129575] Loss_D: -0.018889 Loss_G: -0.000619 Loss_D_real: -0.006858 Loss_D_fake 0.012031
[1256/5000][295/535][129576] Loss_D: -0.020776 Loss_G: 0.003284 Loss_D_real: -0.015244 Loss_D_fake 0.005532
[1256/5000][300/535][129577] Loss_D: -0.018818 Loss_G: 0.018936 Loss_D_real: -0.024145 Loss_D_fake -0.005326
[1256/5000][305/535][129578] Loss_D: -0.019565 Loss_G: 0.005440 Loss_D_real: -0.022081 Loss_D_fake -0.002516
[1256/5000][310/535][129579] Loss_D: -0.019795 Loss_G: 0.010095 Loss_D_real: -0.017692 Loss_D_fake 0.002102
[1256/5000][315/535][129580] Loss_D: -0.020455 Loss_G: 0.005551 Loss_D_real: -0.022705 Loss_D_fake -0.002250
[1256/5000][320/535][129581] Loss_D: -0.021492 Loss_G: 0.005534 Loss_D_real: -0.006198 Loss_D_fake 0.015294
[1256/5000][325/535][129582] Loss_D: -0.021160 Loss_G: 0.018697 Loss_D_real: -0.022103 Loss_D_fake -0.000943
[1256/5000][330/535][129583] Loss_D: -0.021402 Loss_G: -0.000350 Loss_D_real: -0.012445 Loss_D_fake 0.008958
[1256/5000][335/535][129584] Loss_D: -0.021427 Loss_G: -0.008052 Loss_D_real: -0.012315 Loss_D_fake 0.009112
[1256/5000][340/535][129585] Loss_D: -0.021651 Loss_G: 0.014350 Loss_D_real: -0.029377 Loss_D_fake -0.007725
[1256/5000][345/535][129586] Loss_D: -0.020086 Loss_G: 0.027799 Loss_D_real: -0.031644 Loss_D_fake -0.011558
[1256/5000][350/535][129587] Loss_D: -0.020352 Loss_G: 0.003088 Loss_D_real: -0.009246 Loss_D_fake 0.011105
[1256/5000][355/535][129588] Loss_D: -0.020340 Loss_G: -0.013785 Loss_D_real: -0.004389 Loss_D_fake 0.015951
[1256/5000][360/535][129589] Loss_D: -0.019087 Loss_G: 0.018675 Loss_D_real: -0.043193 Loss_D_fake -0.024106
[1256/5000][365/535][129590] Loss_D: -0.021134 Loss_G: 0.007880 Loss_D_real: -0.020064 Loss_D_fake 0.001069
[1256/5000][370/535][129591] Loss_D: -0.020102 Loss_G: 0.010841 Loss_D_real: -0.020561 Loss_D_fake -0.000460
[1256/5000][375/535][129592] Loss_D: -0.020507 Loss_G: 0.014864 Loss_D_real: -0.015451 Loss_D_fake 0.005056
[1256/5000][380/535][129593] Loss_D: -0.021778 Loss_G: 0.015837 Loss_D_real: -0.032358 Loss_D_fake -0.010580
[1256/5000][385/535][129594] Loss_D: -0.019604 Loss_G: 0.023717 Loss_D_real: -0.041886 Loss_D_fake -0.022281
[1256/5000][390/535][129595] Loss_D: -0.019308 Loss_G: 0.030376 Loss_D_real: -0.034037 Loss_D_fake -0.014729
[1256/5000][395/535][129596] Loss_D: -0.020678 Loss_G: -0.006244 Loss_D_real: -0.015969 Loss_D_fake 0.004708
[1256/5000][400/535][129597] Loss_D: -0.020062 Loss_G: 0.003543 Loss_D_real: -0.013090 Loss_D_fake 0.006972
[1256/5000][405/535][129598] Loss_D: -0.019473 Loss_G: -0.015276 Loss_D_real: -0.000909 Loss_D_fake 0.018564
[1256/5000][410/535][129599] Loss_D: -0.018986 Loss_G: 0.016597 Loss_D_real: -0.023795 Loss_D_fake -0.004809
[1256/5000][415/535][129600] Loss_D: -0.019773 Loss_G: 0.016473 Loss_D_real: -0.024608 Loss_D_fake -0.004835
[1256/5000][420/535][129601] Loss_D: -0.019340 Loss_G: 0.007190 Loss_D_real: -0.020931 Loss_D_fake -0.001591
[1256/5000][425/535][129602] Loss_D: -0.021194 Loss_G: -0.015639 Loss_D_real: -0.009657 Loss_D_fake 0.011537
[1256/5000][430/535][129603] Loss_D: -0.018478 Loss_G: -0.007709 Loss_D_real: 0.003990 Loss_D_fake 0.022468
[1256/5000][435/535][129604] Loss_D: -0.019499 Loss_G: 0.013139 Loss_D_real: -0.014713 Loss_D_fake 0.004786
[1256/5000][440/535][129605] Loss_D: -0.019663 Loss_G: 0.000757 Loss_D_real: -0.004532 Loss_D_fake 0.015131
[1256/5000][445/535][129606] Loss_D: -0.020147 Loss_G: 0.007902 Loss_D_real: -0.017987 Loss_D_fake 0.002160
[1256/5000][450/535][129607] Loss_D: -0.020911 Loss_G: 0.007961 Loss_D_real: -0.019573 Loss_D_fake 0.001337
[1256/5000][455/535][129608] Loss_D: -0.019689 Loss_G: 0.007570 Loss_D_real: -0.018536 Loss_D_fake 0.001153
[1256/5000][460/535][129609] Loss_D: -0.020307 Loss_G: -0.000929 Loss_D_real: -0.013893 Loss_D_fake 0.006414
[1256/5000][465/535][129610] Loss_D: -0.019688 Loss_G: 0.010606 Loss_D_real: -0.014136 Loss_D_fake 0.005552
[1256/5000][470/535][129611] Loss_D: -0.021787 Loss_G: 0.007768 Loss_D_real: -0.018790 Loss_D_fake 0.002997
[1256/5000][475/535][129612] Loss_D: -0.020558 Loss_G: -0.000710 Loss_D_real: -0.008380 Loss_D_fake 0.012178
[1256/5000][480/535][129613] Loss_D: -0.021220 Loss_G: 0.006385 Loss_D_real: -0.026813 Loss_D_fake -0.005593
[1256/5000][485/535][129614] Loss_D: -0.018986 Loss_G: 0.007301 Loss_D_real: -0.021854 Loss_D_fake -0.002868
[1256/5000][490/535][129615] Loss_D: -0.020471 Loss_G: 0.006025 Loss_D_real: -0.011176 Loss_D_fake 0.009295
[1256/5000][495/535][129616] Loss_D: -0.019719 Loss_G: 0.010858 Loss_D_real: -0.029771 Loss_D_fake -0.010052
[1256/5000][500/535][129617] Loss_D: -0.019844 Loss_G: 0.030457 Loss_D_real: -0.027955 Loss_D_fake -0.008110
[1256/5000][505/535][129618] Loss_D: -0.020141 Loss_G: -0.006388 Loss_D_real: -0.008650 Loss_D_fake 0.011492
[1256/5000][510/535][129619] Loss_D: -0.018040 Loss_G: -0.007271 Loss_D_real: -0.019782 Loss_D_fake -0.001742
[1256/5000][515/535][129620] Loss_D: -0.018495 Loss_G: -0.019791 Loss_D_real: 0.000860 Loss_D_fake 0.019356
[1256/5000][520/535][129621] Loss_D: -0.018513 Loss_G: 0.015471 Loss_D_real: -0.015016 Loss_D_fake 0.003498
[1256/5000][525/535][129622] Loss_D: -0.020111 Loss_G: -0.006964 Loss_D_real: -0.009455 Loss_D_fake 0.010655
[1256/5000][530/535][129623] Loss_D: -0.020118 Loss_G: -0.006063 Loss_D_real: -0.013743 Loss_D_fake 0.006375
[1256/5000][535/535][129624] Loss_D: -0.018088 Loss_G: -0.041057 Loss_D_real: 0.009469 Loss_D_fake 0.027556
[1257/5000][5/535][129625] Loss_D: -0.020336 Loss_G: 0.004578 Loss_D_real: -0.014694 Loss_D_fake 0.005642
[1257/5000][10/535][129626] Loss_D: -0.019433 Loss_G: -0.004475 Loss_D_real: 0.006110 Loss_D_fake 0.025543
[1257/5000][15/535][129627] Loss_D: -0.018744 Loss_G: -0.004732 Loss_D_real: -0.007332 Loss_D_fake 0.011412
[1257/5000][20/535][129628] Loss_D: -0.019846 Loss_G: 0.026357 Loss_D_real: -0.027198 Loss_D_fake -0.007353
[1257/5000][25/535][129629] Loss_D: -0.020829 Loss_G: 0.001975 Loss_D_real: -0.011273 Loss_D_fake 0.009556
[1257/5000][30/535][129630] Loss_D: -0.019864 Loss_G: 0.005846 Loss_D_real: -0.018123 Loss_D_fake 0.001741
[1257/5000][35/535][129631] Loss_D: -0.018919 Loss_G: 0.007405 Loss_D_real: -0.019323 Loss_D_fake -0.000404
[1257/5000][40/535][129632] Loss_D: -0.020378 Loss_G: 0.015048 Loss_D_real: -0.020115 Loss_D_fake 0.000263
[1257/5000][45/535][129633] Loss_D: -0.021411 Loss_G: 0.006740 Loss_D_real: -0.022809 Loss_D_fake -0.001398
[1257/5000][50/535][129634] Loss_D: -0.021845 Loss_G: 0.007466 Loss_D_real: -0.007177 Loss_D_fake 0.014668
[1257/5000][55/535][129635] Loss_D: -0.019834 Loss_G: 0.006648 Loss_D_real: -0.010203 Loss_D_fake 0.009631
[1257/5000][60/535][129636] Loss_D: -0.020774 Loss_G: 0.008033 Loss_D_real: -0.024668 Loss_D_fake -0.003894
[1257/5000][65/535][129637] Loss_D: -0.019896 Loss_G: 0.025589 Loss_D_real: -0.031525 Loss_D_fake -0.011628
[1257/5000][70/535][129638] Loss_D: -0.020783 Loss_G: -0.004651 Loss_D_real: -0.010386 Loss_D_fake 0.010398
[1257/5000][75/535][129639] Loss_D: -0.020388 Loss_G: 0.004440 Loss_D_real: -0.012692 Loss_D_fake 0.007696
[1257/5000][80/535][129640] Loss_D: -0.021170 Loss_G: 0.006193 Loss_D_real: -0.008452 Loss_D_fake 0.012719
[1257/5000][85/535][129641] Loss_D: -0.018915 Loss_G: 0.000737 Loss_D_real: -0.006326 Loss_D_fake 0.012589
[1257/5000][90/535][129642] Loss_D: -0.021678 Loss_G: -0.007226 Loss_D_real: -0.015464 Loss_D_fake 0.006214
[1257/5000][95/535][129643] Loss_D: -0.019391 Loss_G: -0.010757 Loss_D_real: -0.000637 Loss_D_fake 0.018754
[1257/5000][100/535][129644] Loss_D: -0.021287 Loss_G: 0.022775 Loss_D_real: -0.023592 Loss_D_fake -0.002304
[1257/5000][105/535][129645] Loss_D: -0.019298 Loss_G: 0.026831 Loss_D_real: -0.025769 Loss_D_fake -0.006471
[1257/5000][110/535][129646] Loss_D: -0.018403 Loss_G: 0.023027 Loss_D_real: -0.026671 Loss_D_fake -0.008268
[1257/5000][115/535][129647] Loss_D: -0.021056 Loss_G: 0.013735 Loss_D_real: -0.016991 Loss_D_fake 0.004065
[1257/5000][120/535][129648] Loss_D: -0.020959 Loss_G: 0.000591 Loss_D_real: -0.037523 Loss_D_fake -0.016564
[1257/5000][125/535][129649] Loss_D: -0.020144 Loss_G: -0.004633 Loss_D_real: -0.011881 Loss_D_fake 0.008263
[1257/5000][130/535][129650] Loss_D: -0.021486 Loss_G: 0.002318 Loss_D_real: -0.006699 Loss_D_fake 0.014787
[1257/5000][135/535][129651] Loss_D: -0.019690 Loss_G: 0.001901 Loss_D_real: -0.011623 Loss_D_fake 0.008067
[1257/5000][140/535][129652] Loss_D: -0.021263 Loss_G: 0.011515 Loss_D_real: -0.025554 Loss_D_fake -0.004291
[1257/5000][145/535][129653] Loss_D: -0.020298 Loss_G: 0.012420 Loss_D_real: -0.024052 Loss_D_fake -0.003754
[1257/5000][150/535][129654] Loss_D: -0.018582 Loss_G: 0.025714 Loss_D_real: -0.035868 Loss_D_fake -0.017287
[1257/5000][155/535][129655] Loss_D: -0.019625 Loss_G: 0.005670 Loss_D_real: -0.017376 Loss_D_fake 0.002248
[1257/5000][160/535][129656] Loss_D: -0.021407 Loss_G: -0.002008 Loss_D_real: -0.015247 Loss_D_fake 0.006160
[1257/5000][165/535][129657] Loss_D: -0.019254 Loss_G: -0.010541 Loss_D_real: -0.013129 Loss_D_fake 0.006125
[1257/5000][170/535][129658] Loss_D: -0.021888 Loss_G: -0.005510 Loss_D_real: -0.010691 Loss_D_fake 0.011197
[1257/5000][175/535][129659] Loss_D: -0.020445 Loss_G: 0.005167 Loss_D_real: -0.015816 Loss_D_fake 0.004629
[1257/5000][180/535][129660] Loss_D: -0.020114 Loss_G: 0.012582 Loss_D_real: -0.024727 Loss_D_fake -0.004613
[1257/5000][185/535][129661] Loss_D: -0.016762 Loss_G: -0.014524 Loss_D_real: 0.002307 Loss_D_fake 0.019069
[1257/5000][190/535][129662] Loss_D: -0.020426 Loss_G: 0.002911 Loss_D_real: -0.016194 Loss_D_fake 0.004232
[1257/5000][195/535][129663] Loss_D: -0.020993 Loss_G: 0.006455 Loss_D_real: -0.017529 Loss_D_fake 0.003464
[1257/5000][200/535][129664] Loss_D: -0.020616 Loss_G: -0.005932 Loss_D_real: -0.005460 Loss_D_fake 0.015156
[1257/5000][205/535][129665] Loss_D: -0.020196 Loss_G: 0.004304 Loss_D_real: -0.020780 Loss_D_fake -0.000585
[1257/5000][210/535][129666] Loss_D: -0.021072 Loss_G: 0.004591 Loss_D_real: -0.016219 Loss_D_fake 0.004853
[1257/5000][215/535][129667] Loss_D: -0.019674 Loss_G: -0.006747 Loss_D_real: -0.009853 Loss_D_fake 0.009821
[1257/5000][220/535][129668] Loss_D: -0.018454 Loss_G: 0.034468 Loss_D_real: -0.033166 Loss_D_fake -0.014713
[1257/5000][225/535][129669] Loss_D: -0.019245 Loss_G: 0.008463 Loss_D_real: -0.026965 Loss_D_fake -0.007719
[1257/5000][230/535][129670] Loss_D: -0.018472 Loss_G: -0.000799 Loss_D_real: -0.008504 Loss_D_fake 0.009968
[1257/5000][235/535][129671] Loss_D: -0.020618 Loss_G: 0.017412 Loss_D_real: -0.015939 Loss_D_fake 0.004679
[1257/5000][240/535][129672] Loss_D: -0.019527 Loss_G: 0.025814 Loss_D_real: -0.032738 Loss_D_fake -0.013211
[1257/5000][245/535][129673] Loss_D: -0.020745 Loss_G: -0.000058 Loss_D_real: -0.014803 Loss_D_fake 0.005943
[1257/5000][250/535][129674] Loss_D: -0.019431 Loss_G: 0.010165 Loss_D_real: -0.004540 Loss_D_fake 0.014891
[1257/5000][255/535][129675] Loss_D: -0.019309 Loss_G: 0.012116 Loss_D_real: -0.034873 Loss_D_fake -0.015564
[1257/5000][260/535][129676] Loss_D: -0.020780 Loss_G: -0.002325 Loss_D_real: -0.005051 Loss_D_fake 0.015729
[1257/5000][265/535][129677] Loss_D: -0.020094 Loss_G: 0.005618 Loss_D_real: -0.018427 Loss_D_fake 0.001666
[1257/5000][270/535][129678] Loss_D: -0.018690 Loss_G: -0.008892 Loss_D_real: -0.014665 Loss_D_fake 0.004025
[1257/5000][275/535][129679] Loss_D: -0.019966 Loss_G: -0.009257 Loss_D_real: -0.013629 Loss_D_fake 0.006336
[1257/5000][280/535][129680] Loss_D: -0.019406 Loss_G: 0.001622 Loss_D_real: -0.000214 Loss_D_fake 0.019192
[1257/5000][285/535][129681] Loss_D: -0.020760 Loss_G: -0.002788 Loss_D_real: -0.006430 Loss_D_fake 0.014330
[1257/5000][290/535][129682] Loss_D: -0.019709 Loss_G: -0.008160 Loss_D_real: -0.009768 Loss_D_fake 0.009941
[1257/5000][295/535][129683] Loss_D: -0.019670 Loss_G: 0.023198 Loss_D_real: -0.020946 Loss_D_fake -0.001276
[1257/5000][300/535][129684] Loss_D: -0.020032 Loss_G: 0.004597 Loss_D_real: -0.014960 Loss_D_fake 0.005072
[1257/5000][305/535][129685] Loss_D: -0.020164 Loss_G: 0.002566 Loss_D_real: -0.006829 Loss_D_fake 0.013335
[1257/5000][310/535][129686] Loss_D: -0.020742 Loss_G: 0.011608 Loss_D_real: -0.027631 Loss_D_fake -0.006889
[1257/5000][315/535][129687] Loss_D: -0.020297 Loss_G: 0.004482 Loss_D_real: -0.020252 Loss_D_fake 0.000045
[1257/5000][320/535][129688] Loss_D: -0.019295 Loss_G: -0.001905 Loss_D_real: -0.025877 Loss_D_fake -0.006582
[1257/5000][325/535][129689] Loss_D: -0.020452 Loss_G: 0.007874 Loss_D_real: -0.030973 Loss_D_fake -0.010521
[1257/5000][330/535][129690] Loss_D: -0.019432 Loss_G: 0.009197 Loss_D_real: -0.033338 Loss_D_fake -0.013906
[1257/5000][335/535][129691] Loss_D: -0.020160 Loss_G: 0.020560 Loss_D_real: -0.011456 Loss_D_fake 0.008704
[1257/5000][340/535][129692] Loss_D: -0.021605 Loss_G: 0.012367 Loss_D_real: -0.023504 Loss_D_fake -0.001898
[1257/5000][345/535][129693] Loss_D: -0.019076 Loss_G: 0.017037 Loss_D_real: -0.013129 Loss_D_fake 0.005946
[1257/5000][350/535][129694] Loss_D: -0.020793 Loss_G: 0.007636 Loss_D_real: -0.022639 Loss_D_fake -0.001845
[1257/5000][355/535][129695] Loss_D: -0.021983 Loss_G: 0.021516 Loss_D_real: -0.018948 Loss_D_fake 0.003035
[1257/5000][360/535][129696] Loss_D: -0.019873 Loss_G: 0.014583 Loss_D_real: -0.032946 Loss_D_fake -0.013073
[1257/5000][365/535][129697] Loss_D: -0.020240 Loss_G: 0.010638 Loss_D_real: -0.009706 Loss_D_fake 0.010534
[1257/5000][370/535][129698] Loss_D: -0.020368 Loss_G: -0.002242 Loss_D_real: -0.010295 Loss_D_fake 0.010073
[1257/5000][375/535][129699] Loss_D: -0.020365 Loss_G: 0.018523 Loss_D_real: -0.020360 Loss_D_fake 0.000005
[1257/5000][380/535][129700] Loss_D: -0.020085 Loss_G: -0.002088 Loss_D_real: -0.017586 Loss_D_fake 0.002499
[1257/5000][385/535][129701] Loss_D: -0.019212 Loss_G: 0.007174 Loss_D_real: -0.020580 Loss_D_fake -0.001368
[1257/5000][390/535][129702] Loss_D: -0.019488 Loss_G: 0.022969 Loss_D_real: -0.027876 Loss_D_fake -0.008388
[1257/5000][395/535][129703] Loss_D: -0.021310 Loss_G: 0.009680 Loss_D_real: -0.015266 Loss_D_fake 0.006044
[1257/5000][400/535][129704] Loss_D: -0.019819 Loss_G: 0.015393 Loss_D_real: -0.016138 Loss_D_fake 0.003681
[1257/5000][405/535][129705] Loss_D: -0.020096 Loss_G: -0.004484 Loss_D_real: -0.004495 Loss_D_fake 0.015601
[1257/5000][410/535][129706] Loss_D: -0.020285 Loss_G: -0.004445 Loss_D_real: -0.012402 Loss_D_fake 0.007883
[1257/5000][415/535][129707] Loss_D: -0.019715 Loss_G: 0.012163 Loss_D_real: -0.034388 Loss_D_fake -0.014673
[1257/5000][420/535][129708] Loss_D: -0.020059 Loss_G: 0.010786 Loss_D_real: -0.029857 Loss_D_fake -0.009798
[1257/5000][425/535][129709] Loss_D: -0.019470 Loss_G: 0.016954 Loss_D_real: -0.027412 Loss_D_fake -0.007942
[1257/5000][430/535][129710] Loss_D: -0.019972 Loss_G: -0.005861 Loss_D_real: -0.003536 Loss_D_fake 0.016435
[1257/5000][435/535][129711] Loss_D: -0.020661 Loss_G: 0.010020 Loss_D_real: -0.021742 Loss_D_fake -0.001081
[1257/5000][440/535][129712] Loss_D: -0.019656 Loss_G: 0.030389 Loss_D_real: -0.026915 Loss_D_fake -0.007259
[1257/5000][445/535][129713] Loss_D: -0.019183 Loss_G: 0.016113 Loss_D_real: -0.025042 Loss_D_fake -0.005859
[1257/5000][450/535][129714] Loss_D: -0.020011 Loss_G: 0.005313 Loss_D_real: -0.015562 Loss_D_fake 0.004448
[1257/5000][455/535][129715] Loss_D: -0.019265 Loss_G: -0.010411 Loss_D_real: -0.012149 Loss_D_fake 0.007116
[1257/5000][460/535][129716] Loss_D: -0.019626 Loss_G: 0.020790 Loss_D_real: -0.019867 Loss_D_fake -0.000241
[1257/5000][465/535][129717] Loss_D: -0.020545 Loss_G: -0.000317 Loss_D_real: -0.013350 Loss_D_fake 0.007195
[1257/5000][470/535][129718] Loss_D: -0.018665 Loss_G: 0.020398 Loss_D_real: -0.029582 Loss_D_fake -0.010917
[1257/5000][475/535][129719] Loss_D: -0.019978 Loss_G: 0.002670 Loss_D_real: -0.014844 Loss_D_fake 0.005134
[1257/5000][480/535][129720] Loss_D: -0.020005 Loss_G: 0.006282 Loss_D_real: -0.010178 Loss_D_fake 0.009827
[1257/5000][485/535][129721] Loss_D: -0.020343 Loss_G: -0.000577 Loss_D_real: -0.012069 Loss_D_fake 0.008274
[1257/5000][490/535][129722] Loss_D: -0.020461 Loss_G: 0.022398 Loss_D_real: -0.037497 Loss_D_fake -0.017036
[1257/5000][495/535][129723] Loss_D: -0.020271 Loss_G: 0.027250 Loss_D_real: -0.025241 Loss_D_fake -0.004970
[1257/5000][500/535][129724] Loss_D: -0.019781 Loss_G: -0.008694 Loss_D_real: -0.008488 Loss_D_fake 0.011293
[1257/5000][505/535][129725] Loss_D: -0.019453 Loss_G: 0.020483 Loss_D_real: -0.022370 Loss_D_fake -0.002916
[1257/5000][510/535][129726] Loss_D: -0.019735 Loss_G: -0.005128 Loss_D_real: -0.012470 Loss_D_fake 0.007265
[1257/5000][515/535][129727] Loss_D: -0.018370 Loss_G: 0.004549 Loss_D_real: -0.018775 Loss_D_fake -0.000405
[1257/5000][520/535][129728] Loss_D: -0.019518 Loss_G: -0.002034 Loss_D_real: -0.010053 Loss_D_fake 0.009465
[1257/5000][525/535][129729] Loss_D: -0.019648 Loss_G: 0.012889 Loss_D_real: -0.029732 Loss_D_fake -0.010085
[1257/5000][530/535][129730] Loss_D: -0.020579 Loss_G: 0.006369 Loss_D_real: -0.028771 Loss_D_fake -0.008192
[1257/5000][535/535][129731] Loss_D: -0.022044 Loss_G: 0.004421 Loss_D_real: -0.028656 Loss_D_fake -0.006612
[1258/5000][5/535][129732] Loss_D: -0.021217 Loss_G: 0.020614 Loss_D_real: -0.032494 Loss_D_fake -0.011276
[1258/5000][10/535][129733] Loss_D: -0.019331 Loss_G: -0.002057 Loss_D_real: -0.000956 Loss_D_fake 0.018375
[1258/5000][15/535][129734] Loss_D: -0.020588 Loss_G: -0.001278 Loss_D_real: -0.009515 Loss_D_fake 0.011073
[1258/5000][20/535][129735] Loss_D: -0.020962 Loss_G: 0.017164 Loss_D_real: -0.013009 Loss_D_fake 0.007954
[1258/5000][25/535][129736] Loss_D: -0.020833 Loss_G: 0.015974 Loss_D_real: -0.018972 Loss_D_fake 0.001861
[1258/5000][30/535][129737] Loss_D: -0.020210 Loss_G: 0.009061 Loss_D_real: -0.018570 Loss_D_fake 0.001640
[1258/5000][35/535][129738] Loss_D: -0.020568 Loss_G: 0.005668 Loss_D_real: -0.014443 Loss_D_fake 0.006125
[1258/5000][40/535][129739] Loss_D: -0.020679 Loss_G: 0.008111 Loss_D_real: -0.021275 Loss_D_fake -0.000596
[1258/5000][45/535][129740] Loss_D: -0.020568 Loss_G: 0.028195 Loss_D_real: -0.028087 Loss_D_fake -0.007519
[1258/5000][50/535][129741] Loss_D: -0.019543 Loss_G: 0.012623 Loss_D_real: -0.031240 Loss_D_fake -0.011697
[1258/5000][55/535][129742] Loss_D: -0.020760 Loss_G: -0.000356 Loss_D_real: -0.005524 Loss_D_fake 0.015236
[1258/5000][60/535][129743] Loss_D: -0.019574 Loss_G: 0.016788 Loss_D_real: -0.017631 Loss_D_fake 0.001944
[1258/5000][65/535][129744] Loss_D: -0.019077 Loss_G: 0.018416 Loss_D_real: -0.022461 Loss_D_fake -0.003384
[1258/5000][70/535][129745] Loss_D: -0.019215 Loss_G: 0.017835 Loss_D_real: -0.036241 Loss_D_fake -0.017026
[1258/5000][75/535][129746] Loss_D: -0.019418 Loss_G: 0.013902 Loss_D_real: -0.022940 Loss_D_fake -0.003522
[1258/5000][80/535][129747] Loss_D: -0.019737 Loss_G: 0.003058 Loss_D_real: -0.006564 Loss_D_fake 0.013172
[1258/5000][85/535][129748] Loss_D: -0.018824 Loss_G: 0.004842 Loss_D_real: -0.006264 Loss_D_fake 0.012560
[1258/5000][90/535][129749] Loss_D: -0.020074 Loss_G: 0.007436 Loss_D_real: -0.010926 Loss_D_fake 0.009147
[1258/5000][95/535][129750] Loss_D: -0.019327 Loss_G: -0.005998 Loss_D_real: -0.021285 Loss_D_fake -0.001958
[1258/5000][100/535][129751] Loss_D: -0.019407 Loss_G: -0.006456 Loss_D_real: -0.006065 Loss_D_fake 0.013342
[1258/5000][105/535][129752] Loss_D: -0.017378 Loss_G: 0.023513 Loss_D_real: -0.026198 Loss_D_fake -0.008820
[1258/5000][110/535][129753] Loss_D: -0.019002 Loss_G: 0.014256 Loss_D_real: -0.025986 Loss_D_fake -0.006984
[1258/5000][115/535][129754] Loss_D: -0.018865 Loss_G: -0.006562 Loss_D_real: 0.000973 Loss_D_fake 0.019838
[1258/5000][120/535][129755] Loss_D: -0.019735 Loss_G: -0.000202 Loss_D_real: -0.005507 Loss_D_fake 0.014228
[1258/5000][125/535][129756] Loss_D: -0.019645 Loss_G: -0.005918 Loss_D_real: -0.008806 Loss_D_fake 0.010840
[1258/5000][130/535][129757] Loss_D: -0.019106 Loss_G: 0.002271 Loss_D_real: -0.015661 Loss_D_fake 0.003446
[1258/5000][135/535][129758] Loss_D: -0.019338 Loss_G: 0.032187 Loss_D_real: -0.030508 Loss_D_fake -0.011170
[1258/5000][140/535][129759] Loss_D: -0.019056 Loss_G: 0.021071 Loss_D_real: -0.024517 Loss_D_fake -0.005461
[1258/5000][145/535][129760] Loss_D: -0.020503 Loss_G: -0.004392 Loss_D_real: -0.020298 Loss_D_fake 0.000205
[1258/5000][150/535][129761] Loss_D: -0.020701 Loss_G: 0.022060 Loss_D_real: -0.032132 Loss_D_fake -0.011432
[1258/5000][155/535][129762] Loss_D: -0.019570 Loss_G: 0.022883 Loss_D_real: -0.034902 Loss_D_fake -0.015332
[1258/5000][160/535][129763] Loss_D: -0.019226 Loss_G: 0.015710 Loss_D_real: -0.029277 Loss_D_fake -0.010051
[1258/5000][165/535][129764] Loss_D: -0.019600 Loss_G: 0.023924 Loss_D_real: -0.027813 Loss_D_fake -0.008213
[1258/5000][170/535][129765] Loss_D: -0.019513 Loss_G: 0.008700 Loss_D_real: -0.029794 Loss_D_fake -0.010281
[1258/5000][175/535][129766] Loss_D: -0.019353 Loss_G: 0.027717 Loss_D_real: -0.033058 Loss_D_fake -0.013704
[1258/5000][180/535][129767] Loss_D: -0.018955 Loss_G: 0.014193 Loss_D_real: -0.028351 Loss_D_fake -0.009396
[1258/5000][185/535][129768] Loss_D: -0.019108 Loss_G: 0.004082 Loss_D_real: -0.016327 Loss_D_fake 0.002781
[1258/5000][190/535][129769] Loss_D: -0.021090 Loss_G: 0.001116 Loss_D_real: -0.028882 Loss_D_fake -0.007792
[1258/5000][195/535][129770] Loss_D: -0.019811 Loss_G: 0.018055 Loss_D_real: -0.030008 Loss_D_fake -0.010196
[1258/5000][200/535][129771] Loss_D: -0.021062 Loss_G: 0.007109 Loss_D_real: -0.016372 Loss_D_fake 0.004690
[1258/5000][205/535][129772] Loss_D: -0.019497 Loss_G: 0.009768 Loss_D_real: -0.021395 Loss_D_fake -0.001898
[1258/5000][210/535][129773] Loss_D: -0.020085 Loss_G: 0.012208 Loss_D_real: -0.013971 Loss_D_fake 0.006114
[1258/5000][215/535][129774] Loss_D: -0.019951 Loss_G: -0.004298 Loss_D_real: -0.012308 Loss_D_fake 0.007644
[1258/5000][220/535][129775] Loss_D: -0.020763 Loss_G: 0.011223 Loss_D_real: -0.022539 Loss_D_fake -0.001776
[1258/5000][225/535][129776] Loss_D: -0.020990 Loss_G: 0.028938 Loss_D_real: -0.015946 Loss_D_fake 0.005044
[1258/5000][230/535][129777] Loss_D: -0.019849 Loss_G: -0.001294 Loss_D_real: -0.008882 Loss_D_fake 0.010967
[1258/5000][235/535][129778] Loss_D: -0.020775 Loss_G: 0.014503 Loss_D_real: -0.019594 Loss_D_fake 0.001181
[1258/5000][240/535][129779] Loss_D: -0.020151 Loss_G: 0.010331 Loss_D_real: -0.013381 Loss_D_fake 0.006770
[1258/5000][245/535][129780] Loss_D: -0.019119 Loss_G: 0.021318 Loss_D_real: -0.035451 Loss_D_fake -0.016332
[1258/5000][250/535][129781] Loss_D: -0.017688 Loss_G: 0.023705 Loss_D_real: -0.031573 Loss_D_fake -0.013885
[1258/5000][255/535][129782] Loss_D: -0.020335 Loss_G: -0.010635 Loss_D_real: -0.006384 Loss_D_fake 0.013951
[1258/5000][260/535][129783] Loss_D: -0.019747 Loss_G: -0.007510 Loss_D_real: -0.018709 Loss_D_fake 0.001038
[1258/5000][265/535][129784] Loss_D: -0.020307 Loss_G: 0.000457 Loss_D_real: -0.023598 Loss_D_fake -0.003291
[1258/5000][270/535][129785] Loss_D: -0.020279 Loss_G: 0.013314 Loss_D_real: -0.030739 Loss_D_fake -0.010459
[1258/5000][275/535][129786] Loss_D: -0.019449 Loss_G: 0.015780 Loss_D_real: -0.019576 Loss_D_fake -0.000127
[1258/5000][280/535][129787] Loss_D: -0.020535 Loss_G: 0.013371 Loss_D_real: -0.026821 Loss_D_fake -0.006287
[1258/5000][285/535][129788] Loss_D: -0.020386 Loss_G: 0.000579 Loss_D_real: -0.009830 Loss_D_fake 0.010556
[1258/5000][290/535][129789] Loss_D: -0.020915 Loss_G: 0.001520 Loss_D_real: -0.011217 Loss_D_fake 0.009698
[1258/5000][295/535][129790] Loss_D: -0.020303 Loss_G: -0.002402 Loss_D_real: -0.016902 Loss_D_fake 0.003401
[1258/5000][300/535][129791] Loss_D: -0.019437 Loss_G: 0.012052 Loss_D_real: -0.020462 Loss_D_fake -0.001025
[1258/5000][305/535][129792] Loss_D: -0.019839 Loss_G: 0.027322 Loss_D_real: -0.031924 Loss_D_fake -0.012085
[1258/5000][310/535][129793] Loss_D: -0.022105 Loss_G: -0.014262 Loss_D_real: -0.008679 Loss_D_fake 0.013426
[1258/5000][315/535][129794] Loss_D: -0.019843 Loss_G: 0.001523 Loss_D_real: -0.005909 Loss_D_fake 0.013934
[1258/5000][320/535][129795] Loss_D: -0.020637 Loss_G: 0.000133 Loss_D_real: -0.014735 Loss_D_fake 0.005902
[1258/5000][325/535][129796] Loss_D: -0.020512 Loss_G: 0.006139 Loss_D_real: -0.006708 Loss_D_fake 0.013804
[1258/5000][330/535][129797] Loss_D: -0.018683 Loss_G: 0.019124 Loss_D_real: -0.036374 Loss_D_fake -0.017691
[1258/5000][335/535][129798] Loss_D: -0.018797 Loss_G: 0.017759 Loss_D_real: -0.022053 Loss_D_fake -0.003256
[1258/5000][340/535][129799] Loss_D: -0.019040 Loss_G: 0.016651 Loss_D_real: -0.029992 Loss_D_fake -0.010952
[1258/5000][345/535][129800] Loss_D: -0.019106 Loss_G: 0.016731 Loss_D_real: -0.021224 Loss_D_fake -0.002119
[1258/5000][350/535][129801] Loss_D: -0.020036 Loss_G: -0.016464 Loss_D_real: -0.012997 Loss_D_fake 0.007040
[1258/5000][355/535][129802] Loss_D: -0.019386 Loss_G: 0.014552 Loss_D_real: -0.026969 Loss_D_fake -0.007583
[1258/5000][360/535][129803] Loss_D: -0.020566 Loss_G: 0.002989 Loss_D_real: -0.013420 Loss_D_fake 0.007146
[1258/5000][365/535][129804] Loss_D: -0.019294 Loss_G: 0.025040 Loss_D_real: -0.027406 Loss_D_fake -0.008112
[1258/5000][370/535][129805] Loss_D: -0.020125 Loss_G: -0.002388 Loss_D_real: -0.006675 Loss_D_fake 0.013450
[1258/5000][375/535][129806] Loss_D: -0.019193 Loss_G: 0.021574 Loss_D_real: -0.033259 Loss_D_fake -0.014066
[1258/5000][380/535][129807] Loss_D: -0.020058 Loss_G: 0.000006 Loss_D_real: -0.003992 Loss_D_fake 0.016066
[1258/5000][385/535][129808] Loss_D: -0.019746 Loss_G: -0.004501 Loss_D_real: -0.005429 Loss_D_fake 0.014317
[1258/5000][390/535][129809] Loss_D: -0.018572 Loss_G: 0.018518 Loss_D_real: -0.013367 Loss_D_fake 0.005205
[1258/5000][395/535][129810] Loss_D: -0.021797 Loss_G: -0.009499 Loss_D_real: -0.007423 Loss_D_fake 0.014373
[1258/5000][400/535][129811] Loss_D: -0.021237 Loss_G: 0.010098 Loss_D_real: -0.012888 Loss_D_fake 0.008349
[1258/5000][405/535][129812] Loss_D: -0.020704 Loss_G: 0.007541 Loss_D_real: -0.019941 Loss_D_fake 0.000763
[1258/5000][410/535][129813] Loss_D: -0.016802 Loss_G: 0.034646 Loss_D_real: -0.026689 Loss_D_fake -0.009887
[1258/5000][415/535][129814] Loss_D: -0.020085 Loss_G: -0.009514 Loss_D_real: -0.010481 Loss_D_fake 0.009604
[1258/5000][420/535][129815] Loss_D: -0.020337 Loss_G: -0.008589 Loss_D_real: -0.006429 Loss_D_fake 0.013908
[1258/5000][425/535][129816] Loss_D: -0.020088 Loss_G: -0.007038 Loss_D_real: -0.022085 Loss_D_fake -0.001997
[1258/5000][430/535][129817] Loss_D: -0.018959 Loss_G: 0.030034 Loss_D_real: -0.025442 Loss_D_fake -0.006483
[1258/5000][435/535][129818] Loss_D: -0.020004 Loss_G: 0.009082 Loss_D_real: -0.017279 Loss_D_fake 0.002725
[1258/5000][440/535][129819] Loss_D: -0.020496 Loss_G: -0.010983 Loss_D_real: -0.010874 Loss_D_fake 0.009622
[1258/5000][445/535][129820] Loss_D: -0.020365 Loss_G: 0.009483 Loss_D_real: -0.023224 Loss_D_fake -0.002859
[1258/5000][450/535][129821] Loss_D: -0.019261 Loss_G: -0.000293 Loss_D_real: -0.005848 Loss_D_fake 0.013412
[1258/5000][455/535][129822] Loss_D: -0.021043 Loss_G: 0.008919 Loss_D_real: -0.018936 Loss_D_fake 0.002107
[1258/5000][460/535][129823] Loss_D: -0.018750 Loss_G: 0.018332 Loss_D_real: -0.019865 Loss_D_fake -0.001115
[1258/5000][465/535][129824] Loss_D: -0.020928 Loss_G: 0.013314 Loss_D_real: -0.021476 Loss_D_fake -0.000547
[1258/5000][470/535][129825] Loss_D: -0.019449 Loss_G: 0.021652 Loss_D_real: -0.024563 Loss_D_fake -0.005114
[1258/5000][475/535][129826] Loss_D: -0.021891 Loss_G: 0.004830 Loss_D_real: -0.007208 Loss_D_fake 0.014682
[1258/5000][480/535][129827] Loss_D: -0.020814 Loss_G: -0.018292 Loss_D_real: -0.003791 Loss_D_fake 0.017022
[1258/5000][485/535][129828] Loss_D: -0.019658 Loss_G: 0.017623 Loss_D_real: -0.005526 Loss_D_fake 0.014132
[1258/5000][490/535][129829] Loss_D: -0.018546 Loss_G: -0.018919 Loss_D_real: 0.004420 Loss_D_fake 0.022966
[1258/5000][495/535][129830] Loss_D: -0.019158 Loss_G: 0.008146 Loss_D_real: -0.013787 Loss_D_fake 0.005371
[1258/5000][500/535][129831] Loss_D: -0.020412 Loss_G: 0.001759 Loss_D_real: -0.013242 Loss_D_fake 0.007170
[1258/5000][505/535][129832] Loss_D: -0.020403 Loss_G: 0.017452 Loss_D_real: -0.027499 Loss_D_fake -0.007097
[1258/5000][510/535][129833] Loss_D: -0.018701 Loss_G: -0.016052 Loss_D_real: 0.002360 Loss_D_fake 0.021061
[1258/5000][515/535][129834] Loss_D: -0.019494 Loss_G: 0.000158 Loss_D_real: -0.015788 Loss_D_fake 0.003706
[1258/5000][520/535][129835] Loss_D: -0.019572 Loss_G: -0.003799 Loss_D_real: -0.017041 Loss_D_fake 0.002531
[1258/5000][525/535][129836] Loss_D: -0.021585 Loss_G: 0.015255 Loss_D_real: 0.000251 Loss_D_fake 0.021836
[1258/5000][530/535][129837] Loss_D: -0.019797 Loss_G: 0.013445 Loss_D_real: -0.019228 Loss_D_fake 0.000569
[1258/5000][535/535][129838] Loss_D: -0.021066 Loss_G: 0.006104 Loss_D_real: -0.017439 Loss_D_fake 0.003628
[1259/5000][5/535][129839] Loss_D: -0.019027 Loss_G: 0.014187 Loss_D_real: -0.011606 Loss_D_fake 0.007421
[1259/5000][10/535][129840] Loss_D: -0.020420 Loss_G: -0.008273 Loss_D_real: -0.004572 Loss_D_fake 0.015848
[1259/5000][15/535][129841] Loss_D: -0.018169 Loss_G: 0.015830 Loss_D_real: -0.029064 Loss_D_fake -0.010895
[1259/5000][20/535][129842] Loss_D: -0.020037 Loss_G: -0.002738 Loss_D_real: -0.007244 Loss_D_fake 0.012793
[1259/5000][25/535][129843] Loss_D: -0.020153 Loss_G: 0.006174 Loss_D_real: -0.015757 Loss_D_fake 0.004396
[1259/5000][30/535][129844] Loss_D: -0.020049 Loss_G: -0.004731 Loss_D_real: -0.007550 Loss_D_fake 0.012499
[1259/5000][35/535][129845] Loss_D: -0.020426 Loss_G: -0.012366 Loss_D_real: -0.009809 Loss_D_fake 0.010616
[1259/5000][40/535][129846] Loss_D: -0.020903 Loss_G: 0.014731 Loss_D_real: -0.017765 Loss_D_fake 0.003137
[1259/5000][45/535][129847] Loss_D: -0.021125 Loss_G: 0.010693 Loss_D_real: -0.018638 Loss_D_fake 0.002486
[1259/5000][50/535][129848] Loss_D: -0.019711 Loss_G: -0.011653 Loss_D_real: -0.010173 Loss_D_fake 0.009538
[1259/5000][55/535][129849] Loss_D: -0.019962 Loss_G: -0.015427 Loss_D_real: -0.000654 Loss_D_fake 0.019308
[1259/5000][60/535][129850] Loss_D: -0.019641 Loss_G: -0.009764 Loss_D_real: -0.005772 Loss_D_fake 0.013870
[1259/5000][65/535][129851] Loss_D: -0.019809 Loss_G: -0.006875 Loss_D_real: -0.018980 Loss_D_fake 0.000829
[1259/5000][70/535][129852] Loss_D: -0.019452 Loss_G: -0.007646 Loss_D_real: 0.008640 Loss_D_fake 0.028092
[1259/5000][75/535][129853] Loss_D: -0.020605 Loss_G: 0.003173 Loss_D_real: -0.006387 Loss_D_fake 0.014218
[1259/5000][80/535][129854] Loss_D: -0.019519 Loss_G: 0.003983 Loss_D_real: -0.010567 Loss_D_fake 0.008952
[1259/5000][85/535][129855] Loss_D: -0.017957 Loss_G: 0.023588 Loss_D_real: -0.032260 Loss_D_fake -0.014304
[1259/5000][90/535][129856] Loss_D: -0.021020 Loss_G: 0.001904 Loss_D_real: -0.020868 Loss_D_fake 0.000152
[1259/5000][95/535][129857] Loss_D: -0.020608 Loss_G: -0.006906 Loss_D_real: -0.003852 Loss_D_fake 0.016756
[1259/5000][100/535][129858] Loss_D: -0.019424 Loss_G: -0.026137 Loss_D_real: -0.002333 Loss_D_fake 0.017091
[1259/5000][105/535][129859] Loss_D: -0.019001 Loss_G: -0.000430 Loss_D_real: -0.012691 Loss_D_fake 0.006310
[1259/5000][110/535][129860] Loss_D: -0.021951 Loss_G: 0.014841 Loss_D_real: -0.012687 Loss_D_fake 0.009264
[1259/5000][115/535][129861] Loss_D: -0.019476 Loss_G: 0.011358 Loss_D_real: -0.023482 Loss_D_fake -0.004006
[1259/5000][120/535][129862] Loss_D: -0.019833 Loss_G: 0.007092 Loss_D_real: -0.023547 Loss_D_fake -0.003714
[1259/5000][125/535][129863] Loss_D: -0.021195 Loss_G: 0.009044 Loss_D_real: -0.018441 Loss_D_fake 0.002754
[1259/5000][130/535][129864] Loss_D: -0.020735 Loss_G: 0.006756 Loss_D_real: -0.006930 Loss_D_fake 0.013805
[1259/5000][135/535][129865] Loss_D: -0.021571 Loss_G: 0.007437 Loss_D_real: -0.008664 Loss_D_fake 0.012907
[1259/5000][140/535][129866] Loss_D: -0.020397 Loss_G: -0.005979 Loss_D_real: -0.017708 Loss_D_fake 0.002689
[1259/5000][145/535][129867] Loss_D: -0.018556 Loss_G: 0.029924 Loss_D_real: -0.041467 Loss_D_fake -0.022911
[1259/5000][150/535][129868] Loss_D: -0.021447 Loss_G: 0.013850 Loss_D_real: -0.009391 Loss_D_fake 0.012056
[1259/5000][155/535][129869] Loss_D: -0.019517 Loss_G: -0.018730 Loss_D_real: -0.011653 Loss_D_fake 0.007864
[1259/5000][160/535][129870] Loss_D: -0.020121 Loss_G: 0.020963 Loss_D_real: -0.023756 Loss_D_fake -0.003635
[1259/5000][165/535][129871] Loss_D: -0.021743 Loss_G: 0.006773 Loss_D_real: -0.007005 Loss_D_fake 0.014738
[1259/5000][170/535][129872] Loss_D: -0.019302 Loss_G: 0.015966 Loss_D_real: -0.018305 Loss_D_fake 0.000997
[1259/5000][175/535][129873] Loss_D: -0.020110 Loss_G: 0.006246 Loss_D_real: -0.008951 Loss_D_fake 0.011159
[1259/5000][180/535][129874] Loss_D: -0.018804 Loss_G: 0.012979 Loss_D_real: -0.028422 Loss_D_fake -0.009618
[1259/5000][185/535][129875] Loss_D: -0.019881 Loss_G: 0.017603 Loss_D_real: -0.027543 Loss_D_fake -0.007662
[1259/5000][190/535][129876] Loss_D: -0.020455 Loss_G: 0.004593 Loss_D_real: -0.010212 Loss_D_fake 0.010243
[1259/5000][195/535][129877] Loss_D: -0.019839 Loss_G: 0.004513 Loss_D_real: -0.009498 Loss_D_fake 0.010340
[1259/5000][200/535][129878] Loss_D: -0.020970 Loss_G: 0.023401 Loss_D_real: -0.027204 Loss_D_fake -0.006234
[1259/5000][205/535][129879] Loss_D: -0.019775 Loss_G: -0.000080 Loss_D_real: -0.024061 Loss_D_fake -0.004285
[1259/5000][210/535][129880] Loss_D: -0.019212 Loss_G: -0.008145 Loss_D_real: -0.004973 Loss_D_fake 0.014239
[1259/5000][215/535][129881] Loss_D: -0.018964 Loss_G: -0.000379 Loss_D_real: -0.012351 Loss_D_fake 0.006613
[1259/5000][220/535][129882] Loss_D: -0.020308 Loss_G: -0.002422 Loss_D_real: -0.010152 Loss_D_fake 0.010156
[1259/5000][225/535][129883] Loss_D: -0.019280 Loss_G: -0.002096 Loss_D_real: -0.008789 Loss_D_fake 0.010491
[1259/5000][230/535][129884] Loss_D: -0.020294 Loss_G: 0.007391 Loss_D_real: -0.013234 Loss_D_fake 0.007060
[1259/5000][235/535][129885] Loss_D: -0.019546 Loss_G: -0.014173 Loss_D_real: -0.003232 Loss_D_fake 0.016313
[1259/5000][240/535][129886] Loss_D: -0.019016 Loss_G: 0.002259 Loss_D_real: -0.012756 Loss_D_fake 0.006261
[1259/5000][245/535][129887] Loss_D: -0.020011 Loss_G: 0.002462 Loss_D_real: -0.022451 Loss_D_fake -0.002440
[1259/5000][250/535][129888] Loss_D: -0.020430 Loss_G: 0.018520 Loss_D_real: -0.024736 Loss_D_fake -0.004306
[1259/5000][255/535][129889] Loss_D: -0.020146 Loss_G: 0.007204 Loss_D_real: -0.018273 Loss_D_fake 0.001873
[1259/5000][260/535][129890] Loss_D: -0.020314 Loss_G: 0.004943 Loss_D_real: -0.005500 Loss_D_fake 0.014814
[1259/5000][265/535][129891] Loss_D: -0.020147 Loss_G: -0.000838 Loss_D_real: -0.009142 Loss_D_fake 0.011005
[1259/5000][270/535][129892] Loss_D: -0.018821 Loss_G: 0.009024 Loss_D_real: -0.024881 Loss_D_fake -0.006060
[1259/5000][275/535][129893] Loss_D: -0.018939 Loss_G: -0.006807 Loss_D_real: -0.010105 Loss_D_fake 0.008834
[1259/5000][280/535][129894] Loss_D: -0.019988 Loss_G: 0.002732 Loss_D_real: -0.006286 Loss_D_fake 0.013702
[1259/5000][285/535][129895] Loss_D: -0.018466 Loss_G: 0.021541 Loss_D_real: -0.020950 Loss_D_fake -0.002484
[1259/5000][290/535][129896] Loss_D: -0.018146 Loss_G: 0.006238 Loss_D_real: -0.025056 Loss_D_fake -0.006909
[1259/5000][295/535][129897] Loss_D: -0.018649 Loss_G: 0.023622 Loss_D_real: -0.023656 Loss_D_fake -0.005007
[1259/5000][300/535][129898] Loss_D: -0.019484 Loss_G: 0.009420 Loss_D_real: -0.016280 Loss_D_fake 0.003204
[1259/5000][305/535][129899] Loss_D: -0.020849 Loss_G: 0.004400 Loss_D_real: -0.029724 Loss_D_fake -0.008875
[1259/5000][310/535][129900] Loss_D: -0.019944 Loss_G: 0.019404 Loss_D_real: -0.030885 Loss_D_fake -0.010941
[1259/5000][315/535][129901] Loss_D: -0.019498 Loss_G: 0.003141 Loss_D_real: -0.009340 Loss_D_fake 0.010158
[1259/5000][320/535][129902] Loss_D: -0.018628 Loss_G: 0.029012 Loss_D_real: -0.038774 Loss_D_fake -0.020147
[1259/5000][325/535][129903] Loss_D: -0.019575 Loss_G: -0.012761 Loss_D_real: 0.004109 Loss_D_fake 0.023684
[1259/5000][330/535][129904] Loss_D: -0.020356 Loss_G: -0.002836 Loss_D_real: -0.010168 Loss_D_fake 0.010188
[1259/5000][335/535][129905] Loss_D: -0.020084 Loss_G: 0.029132 Loss_D_real: -0.028783 Loss_D_fake -0.008699
[1259/5000][340/535][129906] Loss_D: -0.020004 Loss_G: -0.010222 Loss_D_real: -0.007995 Loss_D_fake 0.012009
[1259/5000][345/535][129907] Loss_D: -0.020466 Loss_G: 0.007410 Loss_D_real: -0.017612 Loss_D_fake 0.002854
[1259/5000][350/535][129908] Loss_D: -0.018261 Loss_G: 0.001267 Loss_D_real: -0.025442 Loss_D_fake -0.007181
[1259/5000][355/535][129909] Loss_D: -0.021021 Loss_G: 0.022998 Loss_D_real: -0.031595 Loss_D_fake -0.010574
[1259/5000][360/535][129910] Loss_D: -0.019777 Loss_G: 0.006133 Loss_D_real: -0.017576 Loss_D_fake 0.002201
[1259/5000][365/535][129911] Loss_D: -0.020743 Loss_G: -0.009162 Loss_D_real: -0.009053 Loss_D_fake 0.011690
[1259/5000][370/535][129912] Loss_D: -0.018910 Loss_G: 0.025811 Loss_D_real: -0.026819 Loss_D_fake -0.007909
[1259/5000][375/535][129913] Loss_D: -0.019344 Loss_G: 0.021682 Loss_D_real: -0.021764 Loss_D_fake -0.002420
[1259/5000][380/535][129914] Loss_D: -0.019553 Loss_G: -0.009475 Loss_D_real: -0.001255 Loss_D_fake 0.018298
[1259/5000][385/535][129915] Loss_D: -0.021063 Loss_G: 0.005189 Loss_D_real: -0.010197 Loss_D_fake 0.010866
[1259/5000][390/535][129916] Loss_D: -0.020979 Loss_G: -0.016312 Loss_D_real: -0.010162 Loss_D_fake 0.010818
[1259/5000][395/535][129917] Loss_D: -0.020167 Loss_G: 0.008735 Loss_D_real: -0.018862 Loss_D_fake 0.001305
[1259/5000][400/535][129918] Loss_D: -0.020173 Loss_G: 0.012723 Loss_D_real: -0.028611 Loss_D_fake -0.008438
[1259/5000][405/535][129919] Loss_D: -0.019968 Loss_G: 0.018240 Loss_D_real: -0.027868 Loss_D_fake -0.007900
[1259/5000][410/535][129920] Loss_D: -0.017923 Loss_G: 0.021031 Loss_D_real: -0.030418 Loss_D_fake -0.012495
[1259/5000][415/535][129921] Loss_D: -0.019321 Loss_G: 0.018685 Loss_D_real: -0.035376 Loss_D_fake -0.016056
[1259/5000][420/535][129922] Loss_D: -0.019425 Loss_G: 0.006055 Loss_D_real: -0.015462 Loss_D_fake 0.003962
[1259/5000][425/535][129923] Loss_D: -0.018540 Loss_G: 0.013733 Loss_D_real: -0.036591 Loss_D_fake -0.018051
[1259/5000][430/535][129924] Loss_D: -0.019494 Loss_G: 0.027323 Loss_D_real: -0.025560 Loss_D_fake -0.006065
[1259/5000][435/535][129925] Loss_D: -0.018417 Loss_G: 0.028301 Loss_D_real: -0.030607 Loss_D_fake -0.012189
[1259/5000][440/535][129926] Loss_D: -0.021055 Loss_G: -0.017653 Loss_D_real: -0.006352 Loss_D_fake 0.014703
[1259/5000][445/535][129927] Loss_D: -0.018198 Loss_G: -0.002682 Loss_D_real: -0.019937 Loss_D_fake -0.001738
[1259/5000][450/535][129928] Loss_D: -0.019145 Loss_G: -0.000679 Loss_D_real: -0.006455 Loss_D_fake 0.012690
[1259/5000][455/535][129929] Loss_D: -0.018109 Loss_G: -0.014383 Loss_D_real: -0.007324 Loss_D_fake 0.010785
[1259/5000][460/535][129930] Loss_D: -0.022078 Loss_G: 0.025929 Loss_D_real: -0.011807 Loss_D_fake 0.010270
[1259/5000][465/535][129931] Loss_D: -0.020747 Loss_G: -0.003448 Loss_D_real: -0.019670 Loss_D_fake 0.001077
[1259/5000][470/535][129932] Loss_D: -0.019379 Loss_G: -0.000936 Loss_D_real: -0.002362 Loss_D_fake 0.017018
[1259/5000][475/535][129933] Loss_D: -0.020422 Loss_G: -0.005037 Loss_D_real: -0.004481 Loss_D_fake 0.015941
[1259/5000][480/535][129934] Loss_D: -0.019269 Loss_G: 0.007760 Loss_D_real: -0.013835 Loss_D_fake 0.005435
[1259/5000][485/535][129935] Loss_D: -0.019481 Loss_G: 0.015669 Loss_D_real: -0.019761 Loss_D_fake -0.000280
[1259/5000][490/535][129936] Loss_D: -0.020304 Loss_G: 0.007464 Loss_D_real: -0.018472 Loss_D_fake 0.001833
[1259/5000][495/535][129937] Loss_D: -0.018310 Loss_G: 0.015492 Loss_D_real: -0.019760 Loss_D_fake -0.001450
[1259/5000][500/535][129938] Loss_D: -0.019697 Loss_G: 0.010743 Loss_D_real: -0.021670 Loss_D_fake -0.001974
[1259/5000][505/535][129939] Loss_D: -0.020407 Loss_G: -0.001585 Loss_D_real: -0.004039 Loss_D_fake 0.016369
[1259/5000][510/535][129940] Loss_D: -0.020387 Loss_G: 0.002060 Loss_D_real: -0.014847 Loss_D_fake 0.005539
[1259/5000][515/535][129941] Loss_D: -0.019711 Loss_G: 0.001491 Loss_D_real: -0.017366 Loss_D_fake 0.002345
[1259/5000][520/535][129942] Loss_D: -0.019101 Loss_G: 0.014094 Loss_D_real: -0.022417 Loss_D_fake -0.003316
[1259/5000][525/535][129943] Loss_D: -0.018081 Loss_G: -0.012925 Loss_D_real: -0.004575 Loss_D_fake 0.013506
[1259/5000][530/535][129944] Loss_D: -0.019596 Loss_G: 0.009514 Loss_D_real: -0.020574 Loss_D_fake -0.000978
[1259/5000][535/535][129945] Loss_D: -0.017608 Loss_G: -0.033460 Loss_D_real: 0.000413 Loss_D_fake 0.018021
[1260/5000][5/535][129946] Loss_D: -0.020859 Loss_G: 0.007251 Loss_D_real: -0.003917 Loss_D_fake 0.016942
[1260/5000][10/535][129947] Loss_D: -0.019046 Loss_G: 0.014793 Loss_D_real: -0.023626 Loss_D_fake -0.004580
[1260/5000][15/535][129948] Loss_D: -0.020172 Loss_G: 0.006422 Loss_D_real: -0.007581 Loss_D_fake 0.012591
[1260/5000][20/535][129949] Loss_D: -0.019994 Loss_G: 0.012808 Loss_D_real: -0.020049 Loss_D_fake -0.000055
[1260/5000][25/535][129950] Loss_D: -0.019386 Loss_G: 0.013907 Loss_D_real: -0.026161 Loss_D_fake -0.006776
[1260/5000][30/535][129951] Loss_D: -0.020439 Loss_G: 0.006300 Loss_D_real: -0.015178 Loss_D_fake 0.005261
[1260/5000][35/535][129952] Loss_D: -0.020455 Loss_G: -0.005179 Loss_D_real: -0.019404 Loss_D_fake 0.001051
[1260/5000][40/535][129953] Loss_D: -0.020597 Loss_G: 0.005917 Loss_D_real: -0.016160 Loss_D_fake 0.004436
[1260/5000][45/535][129954] Loss_D: -0.021348 Loss_G: 0.023233 Loss_D_real: -0.014440 Loss_D_fake 0.006908
[1260/5000][50/535][129955] Loss_D: -0.020993 Loss_G: 0.019148 Loss_D_real: -0.020592 Loss_D_fake 0.000401
[1260/5000][55/535][129956] Loss_D: -0.019828 Loss_G: 0.000382 Loss_D_real: -0.021538 Loss_D_fake -0.001710
[1260/5000][60/535][129957] Loss_D: -0.020526 Loss_G: 0.009438 Loss_D_real: -0.006218 Loss_D_fake 0.014308
[1260/5000][65/535][129958] Loss_D: -0.021500 Loss_G: 0.003212 Loss_D_real: -0.030203 Loss_D_fake -0.008703
[1260/5000][70/535][129959] Loss_D: -0.020394 Loss_G: -0.012507 Loss_D_real: -0.004691 Loss_D_fake 0.015703
[1260/5000][75/535][129960] Loss_D: -0.020505 Loss_G: -0.010516 Loss_D_real: -0.003941 Loss_D_fake 0.016564
[1260/5000][80/535][129961] Loss_D: -0.019813 Loss_G: 0.016788 Loss_D_real: -0.029665 Loss_D_fake -0.009851
[1260/5000][85/535][129962] Loss_D: -0.019980 Loss_G: 0.008656 Loss_D_real: -0.024656 Loss_D_fake -0.004676
[1260/5000][90/535][129963] Loss_D: -0.019174 Loss_G: -0.000331 Loss_D_real: 0.002303 Loss_D_fake 0.021477
[1260/5000][95/535][129964] Loss_D: -0.020009 Loss_G: 0.020773 Loss_D_real: -0.011336 Loss_D_fake 0.008672
[1260/5000][100/535][129965] Loss_D: -0.020755 Loss_G: 0.016329 Loss_D_real: -0.013493 Loss_D_fake 0.007262
[1260/5000][105/535][129966] Loss_D: -0.020261 Loss_G: -0.006937 Loss_D_real: -0.002517 Loss_D_fake 0.017745
[1260/5000][110/535][129967] Loss_D: -0.021643 Loss_G: 0.012614 Loss_D_real: -0.019187 Loss_D_fake 0.002457
[1260/5000][115/535][129968] Loss_D: -0.019394 Loss_G: -0.013867 Loss_D_real: -0.003953 Loss_D_fake 0.015440
[1260/5000][120/535][129969] Loss_D: -0.018630 Loss_G: 0.007366 Loss_D_real: -0.027295 Loss_D_fake -0.008666
[1260/5000][125/535][129970] Loss_D: -0.019772 Loss_G: -0.009573 Loss_D_real: 0.002415 Loss_D_fake 0.022187
[1260/5000][130/535][129971] Loss_D: -0.019997 Loss_G: 0.001445 Loss_D_real: -0.013417 Loss_D_fake 0.006581
[1260/5000][135/535][129972] Loss_D: -0.019414 Loss_G: 0.000854 Loss_D_real: -0.022720 Loss_D_fake -0.003306
[1260/5000][140/535][129973] Loss_D: -0.020155 Loss_G: 0.029637 Loss_D_real: -0.031377 Loss_D_fake -0.011221
[1260/5000][145/535][129974] Loss_D: -0.020043 Loss_G: 0.009047 Loss_D_real: -0.018330 Loss_D_fake 0.001713
[1260/5000][150/535][129975] Loss_D: -0.018093 Loss_G: -0.012542 Loss_D_real: 0.002745 Loss_D_fake 0.020838
[1260/5000][155/535][129976] Loss_D: -0.018793 Loss_G: -0.022036 Loss_D_real: -0.001007 Loss_D_fake 0.017787
[1260/5000][160/535][129977] Loss_D: -0.018623 Loss_G: 0.023096 Loss_D_real: -0.032254 Loss_D_fake -0.013631
[1260/5000][165/535][129978] Loss_D: -0.020285 Loss_G: 0.016618 Loss_D_real: -0.015569 Loss_D_fake 0.004716
[1260/5000][170/535][129979] Loss_D: -0.019452 Loss_G: 0.007952 Loss_D_real: -0.016090 Loss_D_fake 0.003363
[1260/5000][175/535][129980] Loss_D: -0.020070 Loss_G: 0.000941 Loss_D_real: -0.005113 Loss_D_fake 0.014957
[1260/5000][180/535][129981] Loss_D: -0.020067 Loss_G: -0.007754 Loss_D_real: -0.000080 Loss_D_fake 0.019987
[1260/5000][185/535][129982] Loss_D: -0.021158 Loss_G: 0.011234 Loss_D_real: -0.016707 Loss_D_fake 0.004450
[1260/5000][190/535][129983] Loss_D: -0.021562 Loss_G: 0.008737 Loss_D_real: -0.019209 Loss_D_fake 0.002353
[1260/5000][195/535][129984] Loss_D: -0.021478 Loss_G: 0.016031 Loss_D_real: -0.025760 Loss_D_fake -0.004281
[1260/5000][200/535][129985] Loss_D: -0.021670 Loss_G: 0.012546 Loss_D_real: -0.022404 Loss_D_fake -0.000734
[1260/5000][205/535][129986] Loss_D: -0.020546 Loss_G: 0.004446 Loss_D_real: -0.022130 Loss_D_fake -0.001584
[1260/5000][210/535][129987] Loss_D: -0.019967 Loss_G: 0.011985 Loss_D_real: -0.018650 Loss_D_fake 0.001317
[1260/5000][215/535][129988] Loss_D: -0.021961 Loss_G: 0.005915 Loss_D_real: -0.020739 Loss_D_fake 0.001222
[1260/5000][220/535][129989] Loss_D: -0.019894 Loss_G: 0.000756 Loss_D_real: -0.015632 Loss_D_fake 0.004262
[1260/5000][225/535][129990] Loss_D: -0.020252 Loss_G: 0.012292 Loss_D_real: -0.031117 Loss_D_fake -0.010865
[1260/5000][230/535][129991] Loss_D: -0.021029 Loss_G: -0.019433 Loss_D_real: -0.004242 Loss_D_fake 0.016788
[1260/5000][235/535][129992] Loss_D: -0.019560 Loss_G: 0.023186 Loss_D_real: -0.022421 Loss_D_fake -0.002861
[1260/5000][240/535][129993] Loss_D: -0.019948 Loss_G: -0.008582 Loss_D_real: 0.004080 Loss_D_fake 0.024027
[1260/5000][245/535][129994] Loss_D: -0.020267 Loss_G: 0.010489 Loss_D_real: -0.011938 Loss_D_fake 0.008329
[1260/5000][250/535][129995] Loss_D: -0.020671 Loss_G: 0.008290 Loss_D_real: -0.018378 Loss_D_fake 0.002292
[1260/5000][255/535][129996] Loss_D: -0.019829 Loss_G: 0.011536 Loss_D_real: -0.014032 Loss_D_fake 0.005797
[1260/5000][260/535][129997] Loss_D: -0.021126 Loss_G: 0.008864 Loss_D_real: -0.013306 Loss_D_fake 0.007821
[1260/5000][265/535][129998] Loss_D: -0.021236 Loss_G: -0.002397 Loss_D_real: -0.020734 Loss_D_fake 0.000502
[1260/5000][270/535][129999] Loss_D: -0.018236 Loss_G: 0.029127 Loss_D_real: -0.031687 Loss_D_fake -0.013451
[1260/5000][275/535][130000] Loss_D: -0.020013 Loss_G: -0.004166 Loss_D_real: -0.009516 Loss_D_fake 0.010496
[1260/5000][375/535][130001] Loss_D: -0.023424 Loss_G: -0.001340 Loss_D_real: -0.012518 Loss_D_fake 0.010906
[1260/5000][380/535][130002] Loss_D: -0.023262 Loss_G: 0.014137 Loss_D_real: -0.017039 Loss_D_fake 0.006223
[1260/5000][385/535][130003] Loss_D: -0.018268 Loss_G: 0.009094 Loss_D_real: -0.014988 Loss_D_fake 0.003280
[1260/5000][390/535][130004] Loss_D: -0.019066 Loss_G: 0.006594 Loss_D_real: -0.013543 Loss_D_fake 0.005523
[1260/5000][395/535][130005] Loss_D: -0.019664 Loss_G: 0.004873 Loss_D_real: -0.000042 Loss_D_fake 0.019623
[1260/5000][400/535][130006] Loss_D: -0.020379 Loss_G: 0.005176 Loss_D_real: -0.011064 Loss_D_fake 0.009315
[1260/5000][405/535][130007] Loss_D: -0.017408 Loss_G: 0.023439 Loss_D_real: -0.028627 Loss_D_fake -0.011219
[1260/5000][410/535][130008] Loss_D: -0.019334 Loss_G: -0.006971 Loss_D_real: -0.026394 Loss_D_fake -0.007060
[1260/5000][415/535][130009] Loss_D: -0.018264 Loss_G: 0.029660 Loss_D_real: -0.025306 Loss_D_fake -0.007042
[1260/5000][420/535][130010] Loss_D: -0.019127 Loss_G: 0.014723 Loss_D_real: -0.022198 Loss_D_fake -0.003071
[1260/5000][425/535][130011] Loss_D: -0.018937 Loss_G: 0.015344 Loss_D_real: -0.011351 Loss_D_fake 0.007587
[1260/5000][430/535][130012] Loss_D: -0.018628 Loss_G: -0.023404 Loss_D_real: -0.005989 Loss_D_fake 0.012638
[1260/5000][435/535][130013] Loss_D: -0.019809 Loss_G: -0.011339 Loss_D_real: -0.012375 Loss_D_fake 0.007434
[1260/5000][440/535][130014] Loss_D: -0.018554 Loss_G: 0.028569 Loss_D_real: -0.027609 Loss_D_fake -0.009056
[1260/5000][445/535][130015] Loss_D: -0.019257 Loss_G: 0.000178 Loss_D_real: -0.020966 Loss_D_fake -0.001709
[1260/5000][450/535][130016] Loss_D: -0.020200 Loss_G: -0.009439 Loss_D_real: -0.012726 Loss_D_fake 0.007474
[1260/5000][455/535][130017] Loss_D: -0.019510 Loss_G: 0.011534 Loss_D_real: -0.020293 Loss_D_fake -0.000784
[1260/5000][460/535][130018] Loss_D: -0.020449 Loss_G: -0.000948 Loss_D_real: -0.014786 Loss_D_fake 0.005663
[1260/5000][465/535][130019] Loss_D: -0.018849 Loss_G: -0.014342 Loss_D_real: 0.007707 Loss_D_fake 0.026556
[1260/5000][470/535][130020] Loss_D: -0.019608 Loss_G: 0.007610 Loss_D_real: -0.013331 Loss_D_fake 0.006277
[1260/5000][475/535][130021] Loss_D: -0.018714 Loss_G: 0.013465 Loss_D_real: -0.028329 Loss_D_fake -0.009615
[1260/5000][480/535][130022] Loss_D: -0.018822 Loss_G: 0.017828 Loss_D_real: -0.023461 Loss_D_fake -0.004638
[1260/5000][485/535][130023] Loss_D: -0.020918 Loss_G: 0.011476 Loss_D_real: -0.018675 Loss_D_fake 0.002243
[1260/5000][490/535][130024] Loss_D: -0.021653 Loss_G: -0.006272 Loss_D_real: -0.011669 Loss_D_fake 0.009984
[1260/5000][495/535][130025] Loss_D: -0.021044 Loss_G: 0.013791 Loss_D_real: -0.014724 Loss_D_fake 0.006319
[1260/5000][500/535][130026] Loss_D: -0.019740 Loss_G: 0.010369 Loss_D_real: -0.017831 Loss_D_fake 0.001909
[1260/5000][505/535][130027] Loss_D: -0.021554 Loss_G: 0.010632 Loss_D_real: -0.012376 Loss_D_fake 0.009178
[1260/5000][510/535][130028] Loss_D: -0.020956 Loss_G: 0.017242 Loss_D_real: -0.011641 Loss_D_fake 0.009315
[1260/5000][515/535][130029] Loss_D: -0.019311 Loss_G: 0.017133 Loss_D_real: -0.037399 Loss_D_fake -0.018089
[1260/5000][520/535][130030] Loss_D: -0.020564 Loss_G: 0.008850 Loss_D_real: -0.027520 Loss_D_fake -0.006956
[1260/5000][525/535][130031] Loss_D: -0.021402 Loss_G: 0.017165 Loss_D_real: -0.010557 Loss_D_fake 0.010845
[1260/5000][530/535][130032] Loss_D: -0.019748 Loss_G: 0.005296 Loss_D_real: -0.004851 Loss_D_fake 0.014897
[1260/5000][535/535][130033] Loss_D: -0.019543 Loss_G: -0.022479 Loss_D_real: -0.004446 Loss_D_fake 0.015097
[1261/5000][5/535][130034] Loss_D: -0.020179 Loss_G: 0.014830 Loss_D_real: -0.006128 Loss_D_fake 0.014051
[1261/5000][10/535][130035] Loss_D: -0.021231 Loss_G: 0.003836 Loss_D_real: -0.010561 Loss_D_fake 0.010670
[1261/5000][15/535][130036] Loss_D: -0.019932 Loss_G: 0.018794 Loss_D_real: -0.027788 Loss_D_fake -0.007856
[1261/5000][20/535][130037] Loss_D: -0.019971 Loss_G: -0.001159 Loss_D_real: -0.011732 Loss_D_fake 0.008239
[1261/5000][25/535][130038] Loss_D: -0.019915 Loss_G: 0.001034 Loss_D_real: -0.016213 Loss_D_fake 0.003702
[1261/5000][30/535][130039] Loss_D: -0.020215 Loss_G: 0.010577 Loss_D_real: -0.012352 Loss_D_fake 0.007863
[1261/5000][35/535][130040] Loss_D: -0.019556 Loss_G: -0.001410 Loss_D_real: -0.017205 Loss_D_fake 0.002351
[1261/5000][40/535][130041] Loss_D: -0.019663 Loss_G: 0.023990 Loss_D_real: -0.028108 Loss_D_fake -0.008445
[1261/5000][45/535][130042] Loss_D: -0.019155 Loss_G: 0.006771 Loss_D_real: -0.014265 Loss_D_fake 0.004890
[1261/5000][50/535][130043] Loss_D: -0.019327 Loss_G: 0.017472 Loss_D_real: -0.013589 Loss_D_fake 0.005738
[1261/5000][55/535][130044] Loss_D: -0.021360 Loss_G: -0.004062 Loss_D_real: -0.009376 Loss_D_fake 0.011984
[1261/5000][60/535][130045] Loss_D: -0.020973 Loss_G: 0.013074 Loss_D_real: -0.022571 Loss_D_fake -0.001598
[1261/5000][65/535][130046] Loss_D: -0.018907 Loss_G: 0.021433 Loss_D_real: -0.032585 Loss_D_fake -0.013678
[1261/5000][70/535][130047] Loss_D: -0.020691 Loss_G: -0.005470 Loss_D_real: -0.011720 Loss_D_fake 0.008971
[1261/5000][75/535][130048] Loss_D: -0.019046 Loss_G: 0.006699 Loss_D_real: -0.030254 Loss_D_fake -0.011207
[1261/5000][80/535][130049] Loss_D: -0.020223 Loss_G: 0.004545 Loss_D_real: -0.020458 Loss_D_fake -0.000235
[1261/5000][85/535][130050] Loss_D: -0.019507 Loss_G: 0.019048 Loss_D_real: -0.025066 Loss_D_fake -0.005559
[1261/5000][90/535][130051] Loss_D: -0.019683 Loss_G: 0.012075 Loss_D_real: -0.024495 Loss_D_fake -0.004813
[1261/5000][95/535][130052] Loss_D: -0.020499 Loss_G: -0.003055 Loss_D_real: -0.018924 Loss_D_fake 0.001575
[1261/5000][100/535][130053] Loss_D: -0.020563 Loss_G: 0.035433 Loss_D_real: -0.022074 Loss_D_fake -0.001511
[1261/5000][105/535][130054] Loss_D: -0.019416 Loss_G: 0.007165 Loss_D_real: -0.005036 Loss_D_fake 0.014380
[1261/5000][110/535][130055] Loss_D: -0.020118 Loss_G: 0.012756 Loss_D_real: -0.010253 Loss_D_fake 0.009865
[1261/5000][115/535][130056] Loss_D: -0.019518 Loss_G: 0.007802 Loss_D_real: -0.022980 Loss_D_fake -0.003461
[1261/5000][120/535][130057] Loss_D: -0.020092 Loss_G: 0.006374 Loss_D_real: -0.019650 Loss_D_fake 0.000442
[1261/5000][125/535][130058] Loss_D: -0.018850 Loss_G: 0.010173 Loss_D_real: -0.031350 Loss_D_fake -0.012501
[1261/5000][130/535][130059] Loss_D: -0.019547 Loss_G: 0.005089 Loss_D_real: -0.005966 Loss_D_fake 0.013580
[1261/5000][135/535][130060] Loss_D: -0.020177 Loss_G: 0.014528 Loss_D_real: -0.002797 Loss_D_fake 0.017379
[1261/5000][140/535][130061] Loss_D: -0.020522 Loss_G: 0.017468 Loss_D_real: -0.021525 Loss_D_fake -0.001003
[1261/5000][145/535][130062] Loss_D: -0.020554 Loss_G: 0.001536 Loss_D_real: -0.010032 Loss_D_fake 0.010522
[1261/5000][150/535][130063] Loss_D: -0.019916 Loss_G: 0.004241 Loss_D_real: -0.009512 Loss_D_fake 0.010404
[1261/5000][155/535][130064] Loss_D: -0.018889 Loss_G: -0.002206 Loss_D_real: -0.005923 Loss_D_fake 0.012966
[1261/5000][160/535][130065] Loss_D: -0.020466 Loss_G: -0.003459 Loss_D_real: -0.008316 Loss_D_fake 0.012151
[1261/5000][165/535][130066] Loss_D: -0.019088 Loss_G: -0.020071 Loss_D_real: 0.003181 Loss_D_fake 0.022269
[1261/5000][170/535][130067] Loss_D: -0.020122 Loss_G: -0.003208 Loss_D_real: -0.014176 Loss_D_fake 0.005946
[1261/5000][175/535][130068] Loss_D: -0.017725 Loss_G: 0.024537 Loss_D_real: -0.035190 Loss_D_fake -0.017465
[1261/5000][180/535][130069] Loss_D: -0.018879 Loss_G: 0.002235 Loss_D_real: -0.025238 Loss_D_fake -0.006359
[1261/5000][185/535][130070] Loss_D: -0.018994 Loss_G: 0.002383 Loss_D_real: -0.022786 Loss_D_fake -0.003792
[1261/5000][190/535][130071] Loss_D: -0.019371 Loss_G: -0.001461 Loss_D_real: -0.012376 Loss_D_fake 0.006995
[1261/5000][195/535][130072] Loss_D: -0.020331 Loss_G: 0.007681 Loss_D_real: -0.010831 Loss_D_fake 0.009500
[1261/5000][200/535][130073] Loss_D: -0.020517 Loss_G: 0.001027 Loss_D_real: -0.018876 Loss_D_fake 0.001642
[1261/5000][205/535][130074] Loss_D: -0.020356 Loss_G: 0.013126 Loss_D_real: -0.023636 Loss_D_fake -0.003280
[1261/5000][210/535][130075] Loss_D: -0.020684 Loss_G: 0.008366 Loss_D_real: -0.031310 Loss_D_fake -0.010625
[1261/5000][215/535][130076] Loss_D: -0.021442 Loss_G: 0.003636 Loss_D_real: -0.015794 Loss_D_fake 0.005647
[1261/5000][220/535][130077] Loss_D: -0.020798 Loss_G: 0.025238 Loss_D_real: -0.023081 Loss_D_fake -0.002284
[1261/5000][225/535][130078] Loss_D: -0.020479 Loss_G: 0.023210 Loss_D_real: -0.004951 Loss_D_fake 0.015528
[1261/5000][230/535][130079] Loss_D: -0.021692 Loss_G: 0.005821 Loss_D_real: -0.020568 Loss_D_fake 0.001124
[1261/5000][235/535][130080] Loss_D: -0.019588 Loss_G: 0.014087 Loss_D_real: -0.028701 Loss_D_fake -0.009113
[1261/5000][240/535][130081] Loss_D: -0.021248 Loss_G: 0.000590 Loss_D_real: -0.005741 Loss_D_fake 0.015507
[1261/5000][245/535][130082] Loss_D: -0.019158 Loss_G: -0.007241 Loss_D_real: -0.012038 Loss_D_fake 0.007120
[1261/5000][250/535][130083] Loss_D: -0.019622 Loss_G: 0.013740 Loss_D_real: -0.014624 Loss_D_fake 0.004998
[1261/5000][255/535][130084] Loss_D: -0.020134 Loss_G: 0.016093 Loss_D_real: -0.020791 Loss_D_fake -0.000657
[1261/5000][260/535][130085] Loss_D: -0.020447 Loss_G: 0.019032 Loss_D_real: -0.001297 Loss_D_fake 0.019149
[1261/5000][265/535][130086] Loss_D: -0.020377 Loss_G: 0.021816 Loss_D_real: -0.021063 Loss_D_fake -0.000685
[1261/5000][270/535][130087] Loss_D: -0.020263 Loss_G: 0.014453 Loss_D_real: -0.019906 Loss_D_fake 0.000356
[1261/5000][275/535][130088] Loss_D: -0.021115 Loss_G: -0.004123 Loss_D_real: -0.003888 Loss_D_fake 0.017226
[1261/5000][280/535][130089] Loss_D: -0.019570 Loss_G: 0.015441 Loss_D_real: -0.014914 Loss_D_fake 0.004656
[1261/5000][285/535][130090] Loss_D: -0.018313 Loss_G: -0.024572 Loss_D_real: -0.004888 Loss_D_fake 0.013425
[1261/5000][290/535][130091] Loss_D: -0.018352 Loss_G: 0.006100 Loss_D_real: -0.007247 Loss_D_fake 0.011105
[1261/5000][295/535][130092] Loss_D: -0.018948 Loss_G: 0.025152 Loss_D_real: -0.022220 Loss_D_fake -0.003271
[1261/5000][300/535][130093] Loss_D: -0.018383 Loss_G: -0.020995 Loss_D_real: 0.002853 Loss_D_fake 0.021236
[1261/5000][305/535][130094] Loss_D: -0.020263 Loss_G: 0.024144 Loss_D_real: -0.028921 Loss_D_fake -0.008658
[1261/5000][310/535][130095] Loss_D: -0.021445 Loss_G: -0.002241 Loss_D_real: -0.011316 Loss_D_fake 0.010129
[1261/5000][315/535][130096] Loss_D: -0.020897 Loss_G: 0.004382 Loss_D_real: -0.008581 Loss_D_fake 0.012316
[1261/5000][320/535][130097] Loss_D: -0.020076 Loss_G: 0.010067 Loss_D_real: -0.006950 Loss_D_fake 0.013127
[1261/5000][325/535][130098] Loss_D: -0.020068 Loss_G: -0.010419 Loss_D_real: -0.002211 Loss_D_fake 0.017858
[1261/5000][330/535][130099] Loss_D: -0.019299 Loss_G: 0.001055 Loss_D_real: -0.018757 Loss_D_fake 0.000542
[1261/5000][335/535][130100] Loss_D: -0.018982 Loss_G: 0.015515 Loss_D_real: -0.030733 Loss_D_fake -0.011751
[1261/5000][340/535][130101] Loss_D: -0.018525 Loss_G: 0.025722 Loss_D_real: -0.023364 Loss_D_fake -0.004839
[1261/5000][345/535][130102] Loss_D: -0.019421 Loss_G: 0.007297 Loss_D_real: -0.013296 Loss_D_fake 0.006126
[1261/5000][350/535][130103] Loss_D: -0.018886 Loss_G: 0.024357 Loss_D_real: -0.043366 Loss_D_fake -0.024481
[1261/5000][355/535][130104] Loss_D: -0.019789 Loss_G: 0.016802 Loss_D_real: -0.035768 Loss_D_fake -0.015979
[1261/5000][360/535][130105] Loss_D: -0.020509 Loss_G: 0.001280 Loss_D_real: -0.019530 Loss_D_fake 0.000979
[1261/5000][365/535][130106] Loss_D: -0.020411 Loss_G: 0.016879 Loss_D_real: -0.030094 Loss_D_fake -0.009683
[1261/5000][370/535][130107] Loss_D: -0.020104 Loss_G: -0.006578 Loss_D_real: -0.023678 Loss_D_fake -0.003573
[1261/5000][375/535][130108] Loss_D: -0.019881 Loss_G: -0.008188 Loss_D_real: -0.006469 Loss_D_fake 0.013412
[1261/5000][380/535][130109] Loss_D: -0.019337 Loss_G: 0.028334 Loss_D_real: -0.023715 Loss_D_fake -0.004378
[1261/5000][385/535][130110] Loss_D: -0.020556 Loss_G: 0.011001 Loss_D_real: -0.020438 Loss_D_fake 0.000118
[1261/5000][390/535][130111] Loss_D: -0.020968 Loss_G: -0.008532 Loss_D_real: -0.007363 Loss_D_fake 0.013605
[1261/5000][395/535][130112] Loss_D: -0.020917 Loss_G: 0.008070 Loss_D_real: -0.015719 Loss_D_fake 0.005199
[1261/5000][400/535][130113] Loss_D: -0.019823 Loss_G: 0.023901 Loss_D_real: -0.024090 Loss_D_fake -0.004268
[1261/5000][405/535][130114] Loss_D: -0.019958 Loss_G: -0.008824 Loss_D_real: -0.006916 Loss_D_fake 0.013042
[1261/5000][410/535][130115] Loss_D: -0.019261 Loss_G: 0.007714 Loss_D_real: -0.027464 Loss_D_fake -0.008203
[1261/5000][415/535][130116] Loss_D: -0.020847 Loss_G: 0.013515 Loss_D_real: -0.023676 Loss_D_fake -0.002829
[1261/5000][420/535][130117] Loss_D: -0.018456 Loss_G: 0.024012 Loss_D_real: -0.030099 Loss_D_fake -0.011643
[1261/5000][425/535][130118] Loss_D: -0.020089 Loss_G: -0.024167 Loss_D_real: -0.012150 Loss_D_fake 0.007940
[1261/5000][430/535][130119] Loss_D: -0.020745 Loss_G: 0.001061 Loss_D_real: -0.010377 Loss_D_fake 0.010368
[1261/5000][435/535][130120] Loss_D: -0.020193 Loss_G: 0.015256 Loss_D_real: -0.028896 Loss_D_fake -0.008703
[1261/5000][440/535][130121] Loss_D: -0.020283 Loss_G: -0.007619 Loss_D_real: -0.013091 Loss_D_fake 0.007191
[1261/5000][445/535][130122] Loss_D: -0.020161 Loss_G: 0.009336 Loss_D_real: -0.019013 Loss_D_fake 0.001148
[1261/5000][450/535][130123] Loss_D: -0.019473 Loss_G: 0.024777 Loss_D_real: -0.035314 Loss_D_fake -0.015842
[1261/5000][455/535][130124] Loss_D: -0.021296 Loss_G: -0.001324 Loss_D_real: -0.002469 Loss_D_fake 0.018827
[1261/5000][460/535][130125] Loss_D: -0.021645 Loss_G: 0.012454 Loss_D_real: -0.016577 Loss_D_fake 0.005068
[1261/5000][465/535][130126] Loss_D: -0.020106 Loss_G: 0.001142 Loss_D_real: -0.014001 Loss_D_fake 0.006105
[1261/5000][470/535][130127] Loss_D: -0.017903 Loss_G: 0.023107 Loss_D_real: -0.033159 Loss_D_fake -0.015256
[1261/5000][475/535][130128] Loss_D: -0.020427 Loss_G: 0.017206 Loss_D_real: -0.017220 Loss_D_fake 0.003208
[1261/5000][480/535][130129] Loss_D: -0.018757 Loss_G: 0.001630 Loss_D_real: -0.032696 Loss_D_fake -0.013938
[1261/5000][485/535][130130] Loss_D: -0.019606 Loss_G: -0.011610 Loss_D_real: -0.005013 Loss_D_fake 0.014593
[1261/5000][490/535][130131] Loss_D: -0.021036 Loss_G: 0.019220 Loss_D_real: -0.035862 Loss_D_fake -0.014826
[1261/5000][495/535][130132] Loss_D: -0.020342 Loss_G: -0.020452 Loss_D_real: -0.009275 Loss_D_fake 0.011067
[1261/5000][500/535][130133] Loss_D: -0.020478 Loss_G: 0.011910 Loss_D_real: -0.012167 Loss_D_fake 0.008311
[1261/5000][505/535][130134] Loss_D: -0.019766 Loss_G: -0.000770 Loss_D_real: -0.007057 Loss_D_fake 0.012708
[1261/5000][510/535][130135] Loss_D: -0.020211 Loss_G: 0.016549 Loss_D_real: -0.019522 Loss_D_fake 0.000689
[1261/5000][515/535][130136] Loss_D: -0.020703 Loss_G: 0.005565 Loss_D_real: -0.008272 Loss_D_fake 0.012431
[1261/5000][520/535][130137] Loss_D: -0.020241 Loss_G: -0.006329 Loss_D_real: -0.020204 Loss_D_fake 0.000038
[1261/5000][525/535][130138] Loss_D: -0.020118 Loss_G: 0.001673 Loss_D_real: -0.022840 Loss_D_fake -0.002722
[1261/5000][530/535][130139] Loss_D: -0.021003 Loss_G: 0.014507 Loss_D_real: -0.015458 Loss_D_fake 0.005545
[1261/5000][535/535][130140] Loss_D: -0.024275 Loss_G: -0.006175 Loss_D_real: -0.006008 Loss_D_fake 0.018267
[1262/5000][5/535][130141] Loss_D: -0.019949 Loss_G: 0.009746 Loss_D_real: -0.011585 Loss_D_fake 0.008364
[1262/5000][10/535][130142] Loss_D: -0.019758 Loss_G: -0.010046 Loss_D_real: -0.001004 Loss_D_fake 0.018754
[1262/5000][15/535][130143] Loss_D: -0.019589 Loss_G: 0.016225 Loss_D_real: -0.022670 Loss_D_fake -0.003081
[1262/5000][20/535][130144] Loss_D: -0.019806 Loss_G: 0.022477 Loss_D_real: -0.032625 Loss_D_fake -0.012819
[1262/5000][25/535][130145] Loss_D: -0.020857 Loss_G: -0.004294 Loss_D_real: -0.009559 Loss_D_fake 0.011298
[1262/5000][30/535][130146] Loss_D: -0.021018 Loss_G: 0.021942 Loss_D_real: -0.022655 Loss_D_fake -0.001637
[1262/5000][35/535][130147] Loss_D: -0.020643 Loss_G: 0.004677 Loss_D_real: -0.018252 Loss_D_fake 0.002392
[1262/5000][40/535][130148] Loss_D: -0.021076 Loss_G: -0.000231 Loss_D_real: -0.008104 Loss_D_fake 0.012972
[1262/5000][45/535][130149] Loss_D: -0.020330 Loss_G: -0.001949 Loss_D_real: -0.014639 Loss_D_fake 0.005691
[1262/5000][50/535][130150] Loss_D: -0.019434 Loss_G: -0.000866 Loss_D_real: -0.016792 Loss_D_fake 0.002642
[1262/5000][55/535][130151] Loss_D: -0.021492 Loss_G: 0.016063 Loss_D_real: -0.021751 Loss_D_fake -0.000259
[1262/5000][60/535][130152] Loss_D: -0.021191 Loss_G: 0.010428 Loss_D_real: -0.018371 Loss_D_fake 0.002820
[1262/5000][65/535][130153] Loss_D: -0.021160 Loss_G: -0.002052 Loss_D_real: -0.004401 Loss_D_fake 0.016759
[1262/5000][70/535][130154] Loss_D: -0.019735 Loss_G: -0.000296 Loss_D_real: -0.017909 Loss_D_fake 0.001826
[1262/5000][75/535][130155] Loss_D: -0.020029 Loss_G: 0.017969 Loss_D_real: -0.010613 Loss_D_fake 0.009416
[1262/5000][80/535][130156] Loss_D: -0.020062 Loss_G: -0.010326 Loss_D_real: -0.002915 Loss_D_fake 0.017147
[1262/5000][85/535][130157] Loss_D: -0.019682 Loss_G: 0.016113 Loss_D_real: -0.033873 Loss_D_fake -0.014192
[1262/5000][90/535][130158] Loss_D: -0.019014 Loss_G: -0.012259 Loss_D_real: -0.003233 Loss_D_fake 0.015781
[1262/5000][95/535][130159] Loss_D: -0.019772 Loss_G: 0.006708 Loss_D_real: -0.026192 Loss_D_fake -0.006420
[1262/5000][100/535][130160] Loss_D: -0.020914 Loss_G: 0.014893 Loss_D_real: -0.027294 Loss_D_fake -0.006380
[1262/5000][105/535][130161] Loss_D: -0.018918 Loss_G: 0.016637 Loss_D_real: -0.013974 Loss_D_fake 0.004944
[1262/5000][110/535][130162] Loss_D: -0.020200 Loss_G: 0.009866 Loss_D_real: -0.030256 Loss_D_fake -0.010056
[1262/5000][115/535][130163] Loss_D: -0.020166 Loss_G: -0.012993 Loss_D_real: -0.006355 Loss_D_fake 0.013811
[1262/5000][120/535][130164] Loss_D: -0.020029 Loss_G: 0.020248 Loss_D_real: -0.013552 Loss_D_fake 0.006477
[1262/5000][125/535][130165] Loss_D: -0.019077 Loss_G: -0.010996 Loss_D_real: -0.005802 Loss_D_fake 0.013275
[1262/5000][130/535][130166] Loss_D: -0.018982 Loss_G: 0.002876 Loss_D_real: -0.020097 Loss_D_fake -0.001116
[1262/5000][135/535][130167] Loss_D: -0.021156 Loss_G: 0.002743 Loss_D_real: -0.012531 Loss_D_fake 0.008624
[1262/5000][140/535][130168] Loss_D: -0.019997 Loss_G: 0.003628 Loss_D_real: -0.017280 Loss_D_fake 0.002718
[1262/5000][145/535][130169] Loss_D: -0.019503 Loss_G: -0.003361 Loss_D_real: -0.016601 Loss_D_fake 0.002902
[1262/5000][150/535][130170] Loss_D: -0.018821 Loss_G: -0.020285 Loss_D_real: 0.003326 Loss_D_fake 0.022147
[1262/5000][155/535][130171] Loss_D: -0.019630 Loss_G: 0.020871 Loss_D_real: -0.022123 Loss_D_fake -0.002493
[1262/5000][160/535][130172] Loss_D: -0.020297 Loss_G: -0.006242 Loss_D_real: -0.002077 Loss_D_fake 0.018219
[1262/5000][165/535][130173] Loss_D: -0.020424 Loss_G: 0.012335 Loss_D_real: -0.007661 Loss_D_fake 0.012763
[1262/5000][170/535][130174] Loss_D: -0.021628 Loss_G: 0.009604 Loss_D_real: -0.007706 Loss_D_fake 0.013922
[1262/5000][175/535][130175] Loss_D: -0.019716 Loss_G: -0.010423 Loss_D_real: -0.005047 Loss_D_fake 0.014669
[1262/5000][180/535][130176] Loss_D: -0.020320 Loss_G: 0.007086 Loss_D_real: -0.027261 Loss_D_fake -0.006941
[1262/5000][185/535][130177] Loss_D: -0.018400 Loss_G: 0.028041 Loss_D_real: -0.026656 Loss_D_fake -0.008256
[1262/5000][190/535][130178] Loss_D: -0.020680 Loss_G: -0.005621 Loss_D_real: -0.019454 Loss_D_fake 0.001227
[1262/5000][195/535][130179] Loss_D: -0.019954 Loss_G: 0.009465 Loss_D_real: -0.022006 Loss_D_fake -0.002052
[1262/5000][200/535][130180] Loss_D: -0.019363 Loss_G: 0.006015 Loss_D_real: -0.013025 Loss_D_fake 0.006338
[1262/5000][205/535][130181] Loss_D: -0.020762 Loss_G: -0.000140 Loss_D_real: -0.012855 Loss_D_fake 0.007906
[1262/5000][210/535][130182] Loss_D: -0.018801 Loss_G: 0.020991 Loss_D_real: -0.042651 Loss_D_fake -0.023850
[1262/5000][215/535][130183] Loss_D: -0.020319 Loss_G: -0.013428 Loss_D_real: -0.008347 Loss_D_fake 0.011972
[1262/5000][220/535][130184] Loss_D: -0.019797 Loss_G: -0.012289 Loss_D_real: -0.003852 Loss_D_fake 0.015945
[1262/5000][225/535][130185] Loss_D: -0.018714 Loss_G: 0.005420 Loss_D_real: -0.024418 Loss_D_fake -0.005704
[1262/5000][230/535][130186] Loss_D: -0.021239 Loss_G: 0.005557 Loss_D_real: -0.019997 Loss_D_fake 0.001242
[1262/5000][235/535][130187] Loss_D: -0.019552 Loss_G: 0.015042 Loss_D_real: -0.029269 Loss_D_fake -0.009718
[1262/5000][240/535][130188] Loss_D: -0.019298 Loss_G: 0.025808 Loss_D_real: -0.019144 Loss_D_fake 0.000154
[1262/5000][245/535][130189] Loss_D: -0.018800 Loss_G: -0.015995 Loss_D_real: 0.002766 Loss_D_fake 0.021566
[1262/5000][250/535][130190] Loss_D: -0.018336 Loss_G: 0.017625 Loss_D_real: -0.029691 Loss_D_fake -0.011355
[1262/5000][255/535][130191] Loss_D: -0.019878 Loss_G: 0.005174 Loss_D_real: -0.012950 Loss_D_fake 0.006928
[1262/5000][260/535][130192] Loss_D: -0.019987 Loss_G: -0.002953 Loss_D_real: -0.008297 Loss_D_fake 0.011690
[1262/5000][265/535][130193] Loss_D: -0.018867 Loss_G: 0.006036 Loss_D_real: -0.014757 Loss_D_fake 0.004110
[1262/5000][270/535][130194] Loss_D: -0.021093 Loss_G: 0.024500 Loss_D_real: -0.025626 Loss_D_fake -0.004533
[1262/5000][275/535][130195] Loss_D: -0.020138 Loss_G: 0.003294 Loss_D_real: -0.017367 Loss_D_fake 0.002771
[1262/5000][280/535][130196] Loss_D: -0.019856 Loss_G: -0.010692 Loss_D_real: -0.023128 Loss_D_fake -0.003272
[1262/5000][285/535][130197] Loss_D: -0.020437 Loss_G: 0.021223 Loss_D_real: -0.014612 Loss_D_fake 0.005825
[1262/5000][290/535][130198] Loss_D: -0.019933 Loss_G: -0.009220 Loss_D_real: -0.015754 Loss_D_fake 0.004179
[1262/5000][295/535][130199] Loss_D: -0.019076 Loss_G: 0.017587 Loss_D_real: -0.023832 Loss_D_fake -0.004756
[1262/5000][300/535][130200] Loss_D: -0.019456 Loss_G: -0.006965 Loss_D_real: -0.005768 Loss_D_fake 0.013688
[1262/5000][305/535][130201] Loss_D: -0.019306 Loss_G: 0.023913 Loss_D_real: -0.032864 Loss_D_fake -0.013558
[1262/5000][310/535][130202] Loss_D: -0.019560 Loss_G: 0.010851 Loss_D_real: -0.019234 Loss_D_fake 0.000326
[1262/5000][315/535][130203] Loss_D: -0.019337 Loss_G: 0.011695 Loss_D_real: -0.022675 Loss_D_fake -0.003338
[1262/5000][320/535][130204] Loss_D: -0.019113 Loss_G: 0.026082 Loss_D_real: -0.035299 Loss_D_fake -0.016186
[1262/5000][325/535][130205] Loss_D: -0.020271 Loss_G: -0.000243 Loss_D_real: -0.010218 Loss_D_fake 0.010053
[1262/5000][330/535][130206] Loss_D: -0.020980 Loss_G: 0.004245 Loss_D_real: -0.007756 Loss_D_fake 0.013225
[1262/5000][335/535][130207] Loss_D: -0.020162 Loss_G: 0.001190 Loss_D_real: -0.012905 Loss_D_fake 0.007257
[1262/5000][340/535][130208] Loss_D: -0.020779 Loss_G: 0.011319 Loss_D_real: -0.032596 Loss_D_fake -0.011818
[1262/5000][345/535][130209] Loss_D: -0.020213 Loss_G: 0.017979 Loss_D_real: -0.030581 Loss_D_fake -0.010368
[1262/5000][350/535][130210] Loss_D: -0.019908 Loss_G: -0.014664 Loss_D_real: -0.016830 Loss_D_fake 0.003078
[1262/5000][355/535][130211] Loss_D: -0.020563 Loss_G: 0.001879 Loss_D_real: -0.020037 Loss_D_fake 0.000526
[1262/5000][360/535][130212] Loss_D: -0.018452 Loss_G: 0.015096 Loss_D_real: -0.037163 Loss_D_fake -0.018711
[1262/5000][365/535][130213] Loss_D: -0.019671 Loss_G: 0.005541 Loss_D_real: -0.018499 Loss_D_fake 0.001172
[1262/5000][370/535][130214] Loss_D: -0.019589 Loss_G: -0.000813 Loss_D_real: -0.015914 Loss_D_fake 0.003674
[1262/5000][375/535][130215] Loss_D: -0.021207 Loss_G: 0.003820 Loss_D_real: -0.015583 Loss_D_fake 0.005624
[1262/5000][380/535][130216] Loss_D: -0.018894 Loss_G: 0.028236 Loss_D_real: -0.036378 Loss_D_fake -0.017484
[1262/5000][385/535][130217] Loss_D: -0.019773 Loss_G: -0.000742 Loss_D_real: -0.004894 Loss_D_fake 0.014879
[1262/5000][390/535][130218] Loss_D: -0.019273 Loss_G: 0.004425 Loss_D_real: -0.023606 Loss_D_fake -0.004333
[1262/5000][395/535][130219] Loss_D: -0.020368 Loss_G: -0.013184 Loss_D_real: -0.015747 Loss_D_fake 0.004621
[1262/5000][400/535][130220] Loss_D: -0.019521 Loss_G: 0.004388 Loss_D_real: -0.014761 Loss_D_fake 0.004760
[1262/5000][405/535][130221] Loss_D: -0.018529 Loss_G: 0.021313 Loss_D_real: -0.028168 Loss_D_fake -0.009638
[1262/5000][410/535][130222] Loss_D: -0.021219 Loss_G: 0.008249 Loss_D_real: -0.013432 Loss_D_fake 0.007788
[1262/5000][415/535][130223] Loss_D: -0.020296 Loss_G: 0.002666 Loss_D_real: -0.010742 Loss_D_fake 0.009554
[1262/5000][420/535][130224] Loss_D: -0.019402 Loss_G: 0.026200 Loss_D_real: -0.027122 Loss_D_fake -0.007719
[1262/5000][425/535][130225] Loss_D: -0.019814 Loss_G: -0.020349 Loss_D_real: 0.006294 Loss_D_fake 0.026108
[1262/5000][430/535][130226] Loss_D: -0.021316 Loss_G: 0.016008 Loss_D_real: -0.006745 Loss_D_fake 0.014570
[1262/5000][435/535][130227] Loss_D: -0.019735 Loss_G: 0.022240 Loss_D_real: -0.023221 Loss_D_fake -0.003486
[1262/5000][440/535][130228] Loss_D: -0.020004 Loss_G: 0.001845 Loss_D_real: -0.013419 Loss_D_fake 0.006584
[1262/5000][445/535][130229] Loss_D: -0.020464 Loss_G: 0.002861 Loss_D_real: -0.002156 Loss_D_fake 0.018308
[1262/5000][450/535][130230] Loss_D: -0.019571 Loss_G: -0.012681 Loss_D_real: -0.021140 Loss_D_fake -0.001569
[1262/5000][455/535][130231] Loss_D: -0.019850 Loss_G: -0.015547 Loss_D_real: -0.009176 Loss_D_fake 0.010673
[1262/5000][460/535][130232] Loss_D: -0.019976 Loss_G: 0.009888 Loss_D_real: -0.026078 Loss_D_fake -0.006102
[1262/5000][465/535][130233] Loss_D: -0.020243 Loss_G: 0.003151 Loss_D_real: -0.015111 Loss_D_fake 0.005132
[1262/5000][470/535][130234] Loss_D: -0.020927 Loss_G: 0.028437 Loss_D_real: -0.022685 Loss_D_fake -0.001758
[1262/5000][475/535][130235] Loss_D: -0.019139 Loss_G: -0.009960 Loss_D_real: -0.010615 Loss_D_fake 0.008523
[1262/5000][480/535][130236] Loss_D: -0.018389 Loss_G: -0.004286 Loss_D_real: -0.006883 Loss_D_fake 0.011505
[1262/5000][485/535][130237] Loss_D: -0.018071 Loss_G: 0.030186 Loss_D_real: -0.030336 Loss_D_fake -0.012265
[1262/5000][490/535][130238] Loss_D: -0.018385 Loss_G: 0.021727 Loss_D_real: -0.026490 Loss_D_fake -0.008105
[1262/5000][495/535][130239] Loss_D: -0.021123 Loss_G: 0.019574 Loss_D_real: -0.012743 Loss_D_fake 0.008379
[1262/5000][500/535][130240] Loss_D: -0.019353 Loss_G: 0.027309 Loss_D_real: -0.034387 Loss_D_fake -0.015034
[1262/5000][505/535][130241] Loss_D: -0.022653 Loss_G: 0.003528 Loss_D_real: -0.024061 Loss_D_fake -0.001408
[1262/5000][510/535][130242] Loss_D: -0.020824 Loss_G: 0.013850 Loss_D_real: -0.031503 Loss_D_fake -0.010679
[1262/5000][515/535][130243] Loss_D: -0.021554 Loss_G: 0.006641 Loss_D_real: -0.020138 Loss_D_fake 0.001416
[1262/5000][520/535][130244] Loss_D: -0.019356 Loss_G: 0.015200 Loss_D_real: -0.026998 Loss_D_fake -0.007641
[1262/5000][525/535][130245] Loss_D: -0.020821 Loss_G: 0.027957 Loss_D_real: -0.032068 Loss_D_fake -0.011247
[1262/5000][530/535][130246] Loss_D: -0.022114 Loss_G: -0.000371 Loss_D_real: -0.026860 Loss_D_fake -0.004745
[1262/5000][535/535][130247] Loss_D: -0.020580 Loss_G: 0.001670 Loss_D_real: -0.019273 Loss_D_fake 0.001308
[1263/5000][5/535][130248] Loss_D: -0.020455 Loss_G: 0.015470 Loss_D_real: -0.018037 Loss_D_fake 0.002417
[1263/5000][10/535][130249] Loss_D: -0.020879 Loss_G: -0.009667 Loss_D_real: -0.004447 Loss_D_fake 0.016432
[1263/5000][15/535][130250] Loss_D: -0.020411 Loss_G: -0.005563 Loss_D_real: -0.009388 Loss_D_fake 0.011023
[1263/5000][20/535][130251] Loss_D: -0.019328 Loss_G: -0.003347 Loss_D_real: -0.004167 Loss_D_fake 0.015160
[1263/5000][25/535][130252] Loss_D: -0.019266 Loss_G: -0.005898 Loss_D_real: -0.003745 Loss_D_fake 0.015521
[1263/5000][30/535][130253] Loss_D: -0.021037 Loss_G: 0.011457 Loss_D_real: -0.018168 Loss_D_fake 0.002870
[1263/5000][35/535][130254] Loss_D: -0.020018 Loss_G: 0.019646 Loss_D_real: -0.025041 Loss_D_fake -0.005023
[1263/5000][40/535][130255] Loss_D: -0.021380 Loss_G: 0.003504 Loss_D_real: -0.014713 Loss_D_fake 0.006666
[1263/5000][45/535][130256] Loss_D: -0.020887 Loss_G: 0.017047 Loss_D_real: -0.024794 Loss_D_fake -0.003907
[1263/5000][50/535][130257] Loss_D: -0.019685 Loss_G: -0.000836 Loss_D_real: -0.013084 Loss_D_fake 0.006602
[1263/5000][55/535][130258] Loss_D: -0.019414 Loss_G: 0.008600 Loss_D_real: -0.003691 Loss_D_fake 0.015722
[1263/5000][60/535][130259] Loss_D: -0.019422 Loss_G: -0.006298 Loss_D_real: -0.002660 Loss_D_fake 0.016762
[1263/5000][65/535][130260] Loss_D: -0.018825 Loss_G: -0.020040 Loss_D_real: 0.004410 Loss_D_fake 0.023235
[1263/5000][70/535][130261] Loss_D: -0.019559 Loss_G: 0.025633 Loss_D_real: -0.027012 Loss_D_fake -0.007453
[1263/5000][75/535][130262] Loss_D: -0.019999 Loss_G: 0.013225 Loss_D_real: -0.016120 Loss_D_fake 0.003879
[1263/5000][80/535][130263] Loss_D: -0.020280 Loss_G: 0.008940 Loss_D_real: -0.014267 Loss_D_fake 0.006014
[1263/5000][85/535][130264] Loss_D: -0.020186 Loss_G: 0.010358 Loss_D_real: -0.017744 Loss_D_fake 0.002442
[1263/5000][90/535][130265] Loss_D: -0.021358 Loss_G: -0.002913 Loss_D_real: -0.024324 Loss_D_fake -0.002967
[1263/5000][95/535][130266] Loss_D: -0.020841 Loss_G: 0.017491 Loss_D_real: -0.017989 Loss_D_fake 0.002853
[1263/5000][100/535][130267] Loss_D: -0.019441 Loss_G: 0.005241 Loss_D_real: -0.024529 Loss_D_fake -0.005088
[1263/5000][105/535][130268] Loss_D: -0.019709 Loss_G: -0.000095 Loss_D_real: -0.018911 Loss_D_fake 0.000798
[1263/5000][110/535][130269] Loss_D: -0.020862 Loss_G: 0.011335 Loss_D_real: -0.021580 Loss_D_fake -0.000717
[1263/5000][115/535][130270] Loss_D: -0.020918 Loss_G: 0.012609 Loss_D_real: -0.020278 Loss_D_fake 0.000640
[1263/5000][120/535][130271] Loss_D: -0.020450 Loss_G: 0.021124 Loss_D_real: -0.031692 Loss_D_fake -0.011242
[1263/5000][125/535][130272] Loss_D: -0.020973 Loss_G: -0.007203 Loss_D_real: -0.011971 Loss_D_fake 0.009001
[1263/5000][130/535][130273] Loss_D: -0.019104 Loss_G: 0.011621 Loss_D_real: -0.010690 Loss_D_fake 0.008414
[1263/5000][135/535][130274] Loss_D: -0.020147 Loss_G: -0.006292 Loss_D_real: -0.007248 Loss_D_fake 0.012899
[1263/5000][140/535][130275] Loss_D: -0.020472 Loss_G: 0.022872 Loss_D_real: -0.023022 Loss_D_fake -0.002550
[1263/5000][145/535][130276] Loss_D: -0.019431 Loss_G: 0.001058 Loss_D_real: -0.025688 Loss_D_fake -0.006257
[1263/5000][150/535][130277] Loss_D: -0.021477 Loss_G: 0.023156 Loss_D_real: -0.032342 Loss_D_fake -0.010865
[1263/5000][155/535][130278] Loss_D: -0.018607 Loss_G: -0.017484 Loss_D_real: -0.001845 Loss_D_fake 0.016762
[1263/5000][160/535][130279] Loss_D: -0.019071 Loss_G: 0.010311 Loss_D_real: -0.023094 Loss_D_fake -0.004023
[1263/5000][165/535][130280] Loss_D: -0.020245 Loss_G: 0.012324 Loss_D_real: -0.015946 Loss_D_fake 0.004298
[1263/5000][170/535][130281] Loss_D: -0.020676 Loss_G: 0.027787 Loss_D_real: -0.024117 Loss_D_fake -0.003441
[1263/5000][175/535][130282] Loss_D: -0.019454 Loss_G: 0.010999 Loss_D_real: -0.030673 Loss_D_fake -0.011219
[1263/5000][180/535][130283] Loss_D: -0.018066 Loss_G: 0.021137 Loss_D_real: -0.030471 Loss_D_fake -0.012405
[1263/5000][185/535][130284] Loss_D: -0.020676 Loss_G: 0.005562 Loss_D_real: -0.027329 Loss_D_fake -0.006654
[1263/5000][190/535][130285] Loss_D: -0.020506 Loss_G: 0.007029 Loss_D_real: -0.012318 Loss_D_fake 0.008188
[1263/5000][195/535][130286] Loss_D: -0.019761 Loss_G: 0.014989 Loss_D_real: -0.021375 Loss_D_fake -0.001613
[1263/5000][200/535][130287] Loss_D: -0.020123 Loss_G: -0.004143 Loss_D_real: 0.003119 Loss_D_fake 0.023243
[1263/5000][205/535][130288] Loss_D: -0.019846 Loss_G: 0.004982 Loss_D_real: -0.024165 Loss_D_fake -0.004319
[1263/5000][210/535][130289] Loss_D: -0.019409 Loss_G: 0.006937 Loss_D_real: -0.013976 Loss_D_fake 0.005433
[1263/5000][215/535][130290] Loss_D: -0.020913 Loss_G: 0.003027 Loss_D_real: -0.008358 Loss_D_fake 0.012555
[1263/5000][220/535][130291] Loss_D: -0.019464 Loss_G: -0.003089 Loss_D_real: -0.017710 Loss_D_fake 0.001754
[1263/5000][225/535][130292] Loss_D: -0.020090 Loss_G: 0.020631 Loss_D_real: -0.006732 Loss_D_fake 0.013359
[1263/5000][230/535][130293] Loss_D: -0.019557 Loss_G: 0.014318 Loss_D_real: -0.011326 Loss_D_fake 0.008231
[1263/5000][235/535][130294] Loss_D: -0.020499 Loss_G: 0.033158 Loss_D_real: -0.024910 Loss_D_fake -0.004411
[1263/5000][240/535][130295] Loss_D: -0.020681 Loss_G: -0.000446 Loss_D_real: -0.013662 Loss_D_fake 0.007019
[1263/5000][245/535][130296] Loss_D: -0.020967 Loss_G: 0.006973 Loss_D_real: -0.018388 Loss_D_fake 0.002579
[1263/5000][250/535][130297] Loss_D: -0.020949 Loss_G: -0.012060 Loss_D_real: -0.007303 Loss_D_fake 0.013646
[1263/5000][255/535][130298] Loss_D: -0.020826 Loss_G: 0.009652 Loss_D_real: 0.003047 Loss_D_fake 0.023873
[1263/5000][260/535][130299] Loss_D: -0.019491 Loss_G: 0.004104 Loss_D_real: -0.015477 Loss_D_fake 0.004014
[1263/5000][265/535][130300] Loss_D: -0.019742 Loss_G: 0.023613 Loss_D_real: -0.034188 Loss_D_fake -0.014445
[1263/5000][270/535][130301] Loss_D: -0.019099 Loss_G: 0.024956 Loss_D_real: -0.029404 Loss_D_fake -0.010305
[1263/5000][275/535][130302] Loss_D: -0.020467 Loss_G: -0.016636 Loss_D_real: -0.005257 Loss_D_fake 0.015210
[1263/5000][280/535][130303] Loss_D: -0.021017 Loss_G: 0.000850 Loss_D_real: -0.014032 Loss_D_fake 0.006986
[1263/5000][285/535][130304] Loss_D: -0.020384 Loss_G: 0.000994 Loss_D_real: -0.014750 Loss_D_fake 0.005634
[1263/5000][290/535][130305] Loss_D: -0.020513 Loss_G: 0.003344 Loss_D_real: -0.007006 Loss_D_fake 0.013507
[1263/5000][295/535][130306] Loss_D: -0.020944 Loss_G: 0.009380 Loss_D_real: -0.018537 Loss_D_fake 0.002407
[1263/5000][300/535][130307] Loss_D: -0.020550 Loss_G: 0.029322 Loss_D_real: -0.030066 Loss_D_fake -0.009515
[1263/5000][305/535][130308] Loss_D: -0.019512 Loss_G: 0.005093 Loss_D_real: -0.019877 Loss_D_fake -0.000365
[1263/5000][310/535][130309] Loss_D: -0.019480 Loss_G: -0.001348 Loss_D_real: -0.011051 Loss_D_fake 0.008429
[1263/5000][315/535][130310] Loss_D: -0.019967 Loss_G: 0.007817 Loss_D_real: -0.004126 Loss_D_fake 0.015842
[1263/5000][320/535][130311] Loss_D: -0.019242 Loss_G: 0.022578 Loss_D_real: -0.032102 Loss_D_fake -0.012860
[1263/5000][325/535][130312] Loss_D: -0.019490 Loss_G: 0.003499 Loss_D_real: -0.020936 Loss_D_fake -0.001446
[1263/5000][330/535][130313] Loss_D: -0.019841 Loss_G: 0.002165 Loss_D_real: -0.004044 Loss_D_fake 0.015796
[1263/5000][335/535][130314] Loss_D: -0.019905 Loss_G: 0.013677 Loss_D_real: -0.026319 Loss_D_fake -0.006414
[1263/5000][340/535][130315] Loss_D: -0.020034 Loss_G: 0.026279 Loss_D_real: -0.031407 Loss_D_fake -0.011373
[1263/5000][345/535][130316] Loss_D: -0.020378 Loss_G: 0.019011 Loss_D_real: -0.026995 Loss_D_fake -0.006617
[1263/5000][350/535][130317] Loss_D: -0.019546 Loss_G: 0.016649 Loss_D_real: -0.030796 Loss_D_fake -0.011249
[1263/5000][355/535][130318] Loss_D: -0.020559 Loss_G: 0.003965 Loss_D_real: -0.025534 Loss_D_fake -0.004975
[1263/5000][360/535][130319] Loss_D: -0.020451 Loss_G: 0.017875 Loss_D_real: -0.023077 Loss_D_fake -0.002626
[1263/5000][365/535][130320] Loss_D: -0.019030 Loss_G: 0.003823 Loss_D_real: -0.019950 Loss_D_fake -0.000920
[1263/5000][370/535][130321] Loss_D: -0.021658 Loss_G: 0.009375 Loss_D_real: -0.027052 Loss_D_fake -0.005394
[1263/5000][375/535][130322] Loss_D: -0.019840 Loss_G: 0.000324 Loss_D_real: -0.017159 Loss_D_fake 0.002681
[1263/5000][380/535][130323] Loss_D: -0.019707 Loss_G: 0.001313 Loss_D_real: -0.022009 Loss_D_fake -0.002302
[1263/5000][385/535][130324] Loss_D: -0.019542 Loss_G: -0.001808 Loss_D_real: -0.018383 Loss_D_fake 0.001159
[1263/5000][390/535][130325] Loss_D: -0.020229 Loss_G: 0.007222 Loss_D_real: -0.003608 Loss_D_fake 0.016621
[1263/5000][395/535][130326] Loss_D: -0.019904 Loss_G: 0.033134 Loss_D_real: -0.021800 Loss_D_fake -0.001896
[1263/5000][400/535][130327] Loss_D: -0.020081 Loss_G: 0.006681 Loss_D_real: -0.020138 Loss_D_fake -0.000057
[1263/5000][405/535][130328] Loss_D: -0.021295 Loss_G: 0.021357 Loss_D_real: -0.022314 Loss_D_fake -0.001019
[1263/5000][410/535][130329] Loss_D: -0.020681 Loss_G: -0.001984 Loss_D_real: -0.011214 Loss_D_fake 0.009466
[1263/5000][415/535][130330] Loss_D: -0.020134 Loss_G: 0.013737 Loss_D_real: -0.018616 Loss_D_fake 0.001519
[1263/5000][420/535][130331] Loss_D: -0.020994 Loss_G: 0.021462 Loss_D_real: -0.034254 Loss_D_fake -0.013260
[1263/5000][425/535][130332] Loss_D: -0.019851 Loss_G: 0.015736 Loss_D_real: -0.030123 Loss_D_fake -0.010272
[1263/5000][430/535][130333] Loss_D: -0.019284 Loss_G: 0.022019 Loss_D_real: -0.031904 Loss_D_fake -0.012620
[1263/5000][435/535][130334] Loss_D: -0.020797 Loss_G: 0.001698 Loss_D_real: -0.015867 Loss_D_fake 0.004930
[1263/5000][440/535][130335] Loss_D: -0.020265 Loss_G: 0.009881 Loss_D_real: -0.013296 Loss_D_fake 0.006968
[1263/5000][445/535][130336] Loss_D: -0.019316 Loss_G: 0.007533 Loss_D_real: -0.021932 Loss_D_fake -0.002616
[1263/5000][450/535][130337] Loss_D: -0.020009 Loss_G: 0.004809 Loss_D_real: -0.021019 Loss_D_fake -0.001010
[1263/5000][455/535][130338] Loss_D: -0.020425 Loss_G: 0.002883 Loss_D_real: -0.014299 Loss_D_fake 0.006126
[1263/5000][460/535][130339] Loss_D: -0.019510 Loss_G: 0.006458 Loss_D_real: -0.013673 Loss_D_fake 0.005837
[1263/5000][465/535][130340] Loss_D: -0.019409 Loss_G: -0.018718 Loss_D_real: -0.008713 Loss_D_fake 0.010696
[1263/5000][470/535][130341] Loss_D: -0.019525 Loss_G: 0.021693 Loss_D_real: -0.007287 Loss_D_fake 0.012238
[1263/5000][475/535][130342] Loss_D: -0.019358 Loss_G: 0.005019 Loss_D_real: -0.029231 Loss_D_fake -0.009873
[1263/5000][480/535][130343] Loss_D: -0.019894 Loss_G: 0.017276 Loss_D_real: -0.016342 Loss_D_fake 0.003552
[1263/5000][485/535][130344] Loss_D: -0.020795 Loss_G: 0.005064 Loss_D_real: -0.007493 Loss_D_fake 0.013302
[1263/5000][490/535][130345] Loss_D: -0.018958 Loss_G: 0.009537 Loss_D_real: -0.021913 Loss_D_fake -0.002955
[1263/5000][495/535][130346] Loss_D: -0.020193 Loss_G: 0.010155 Loss_D_real: -0.016272 Loss_D_fake 0.003921
[1263/5000][500/535][130347] Loss_D: -0.020082 Loss_G: -0.012529 Loss_D_real: -0.005690 Loss_D_fake 0.014392
[1263/5000][505/535][130348] Loss_D: -0.020147 Loss_G: -0.000272 Loss_D_real: -0.019945 Loss_D_fake 0.000202
[1263/5000][510/535][130349] Loss_D: -0.020108 Loss_G: 0.023296 Loss_D_real: -0.017113 Loss_D_fake 0.002995
[1263/5000][515/535][130350] Loss_D: -0.021018 Loss_G: -0.010436 Loss_D_real: -0.003249 Loss_D_fake 0.017769
[1263/5000][520/535][130351] Loss_D: -0.020870 Loss_G: 0.015120 Loss_D_real: -0.019706 Loss_D_fake 0.001164
[1263/5000][525/535][130352] Loss_D: -0.019311 Loss_G: 0.017709 Loss_D_real: -0.022159 Loss_D_fake -0.002848
[1263/5000][530/535][130353] Loss_D: -0.020821 Loss_G: -0.000547 Loss_D_real: -0.012048 Loss_D_fake 0.008773
[1263/5000][535/535][130354] Loss_D: -0.021578 Loss_G: 0.003135 Loss_D_real: -0.033112 Loss_D_fake -0.011534
[1264/5000][5/535][130355] Loss_D: -0.019969 Loss_G: 0.008659 Loss_D_real: -0.017432 Loss_D_fake 0.002537
[1264/5000][10/535][130356] Loss_D: -0.019505 Loss_G: 0.003126 Loss_D_real: -0.007368 Loss_D_fake 0.012137
[1264/5000][15/535][130357] Loss_D: -0.020916 Loss_G: 0.015634 Loss_D_real: -0.033934 Loss_D_fake -0.013018
[1264/5000][20/535][130358] Loss_D: -0.020284 Loss_G: -0.004902 Loss_D_real: -0.015545 Loss_D_fake 0.004739
[1264/5000][25/535][130359] Loss_D: -0.020914 Loss_G: 0.018742 Loss_D_real: -0.018013 Loss_D_fake 0.002900
[1264/5000][30/535][130360] Loss_D: -0.018819 Loss_G: -0.015313 Loss_D_real: -0.005529 Loss_D_fake 0.013290
[1264/5000][35/535][130361] Loss_D: -0.019056 Loss_G: 0.025909 Loss_D_real: -0.024983 Loss_D_fake -0.005927
[1264/5000][40/535][130362] Loss_D: -0.019789 Loss_G: 0.006344 Loss_D_real: -0.011438 Loss_D_fake 0.008351
[1264/5000][45/535][130363] Loss_D: -0.019491 Loss_G: 0.012181 Loss_D_real: -0.017053 Loss_D_fake 0.002438
[1264/5000][50/535][130364] Loss_D: -0.020070 Loss_G: 0.010878 Loss_D_real: -0.021923 Loss_D_fake -0.001854
[1264/5000][55/535][130365] Loss_D: -0.020402 Loss_G: 0.000047 Loss_D_real: -0.013124 Loss_D_fake 0.007278
[1264/5000][60/535][130366] Loss_D: -0.018235 Loss_G: 0.010647 Loss_D_real: -0.024321 Loss_D_fake -0.006087
[1264/5000][65/535][130367] Loss_D: -0.020698 Loss_G: 0.004126 Loss_D_real: -0.021669 Loss_D_fake -0.000971
[1264/5000][70/535][130368] Loss_D: -0.019625 Loss_G: 0.018348 Loss_D_real: -0.039583 Loss_D_fake -0.019958
[1264/5000][75/535][130369] Loss_D: -0.018118 Loss_G: 0.020497 Loss_D_real: -0.035607 Loss_D_fake -0.017489
[1264/5000][80/535][130370] Loss_D: -0.020629 Loss_G: 0.013129 Loss_D_real: -0.020434 Loss_D_fake 0.000195
[1264/5000][85/535][130371] Loss_D: -0.020960 Loss_G: 0.008785 Loss_D_real: -0.020926 Loss_D_fake 0.000035
[1264/5000][90/535][130372] Loss_D: -0.021162 Loss_G: 0.000679 Loss_D_real: -0.015813 Loss_D_fake 0.005349
[1264/5000][95/535][130373] Loss_D: -0.019897 Loss_G: 0.009812 Loss_D_real: -0.019987 Loss_D_fake -0.000090
[1264/5000][100/535][130374] Loss_D: -0.019909 Loss_G: 0.014333 Loss_D_real: -0.028887 Loss_D_fake -0.008977
[1264/5000][105/535][130375] Loss_D: -0.017835 Loss_G: 0.004727 Loss_D_real: -0.024756 Loss_D_fake -0.006921
[1264/5000][110/535][130376] Loss_D: -0.019230 Loss_G: 0.023825 Loss_D_real: -0.030040 Loss_D_fake -0.010810
[1264/5000][115/535][130377] Loss_D: -0.020492 Loss_G: 0.011763 Loss_D_real: -0.023922 Loss_D_fake -0.003429
[1264/5000][120/535][130378] Loss_D: -0.020017 Loss_G: 0.025137 Loss_D_real: -0.030148 Loss_D_fake -0.010131
[1264/5000][125/535][130379] Loss_D: -0.019724 Loss_G: 0.002758 Loss_D_real: -0.020509 Loss_D_fake -0.000785
[1264/5000][130/535][130380] Loss_D: -0.021168 Loss_G: 0.007990 Loss_D_real: -0.020195 Loss_D_fake 0.000973
[1264/5000][135/535][130381] Loss_D: -0.020451 Loss_G: 0.008567 Loss_D_real: -0.030748 Loss_D_fake -0.010297
[1264/5000][140/535][130382] Loss_D: -0.020988 Loss_G: -0.007237 Loss_D_real: -0.011715 Loss_D_fake 0.009273
[1264/5000][145/535][130383] Loss_D: -0.020147 Loss_G: -0.006266 Loss_D_real: -0.014841 Loss_D_fake 0.005307
[1264/5000][150/535][130384] Loss_D: -0.020189 Loss_G: 0.005964 Loss_D_real: -0.004322 Loss_D_fake 0.015867
[1264/5000][155/535][130385] Loss_D: -0.019952 Loss_G: 0.004084 Loss_D_real: -0.006218 Loss_D_fake 0.013735
[1264/5000][160/535][130386] Loss_D: -0.020415 Loss_G: 0.014570 Loss_D_real: -0.008136 Loss_D_fake 0.012279
[1264/5000][165/535][130387] Loss_D: -0.021202 Loss_G: -0.008346 Loss_D_real: -0.017535 Loss_D_fake 0.003667
[1264/5000][170/535][130388] Loss_D: -0.019145 Loss_G: -0.002595 Loss_D_real: -0.006138 Loss_D_fake 0.013007
[1264/5000][175/535][130389] Loss_D: -0.019824 Loss_G: 0.024155 Loss_D_real: -0.036092 Loss_D_fake -0.016267
[1264/5000][180/535][130390] Loss_D: -0.020759 Loss_G: 0.014904 Loss_D_real: -0.017139 Loss_D_fake 0.003619
[1264/5000][185/535][130391] Loss_D: -0.019808 Loss_G: -0.012251 Loss_D_real: 0.002669 Loss_D_fake 0.022477
[1264/5000][190/535][130392] Loss_D: -0.021312 Loss_G: 0.001478 Loss_D_real: -0.007209 Loss_D_fake 0.014102
[1264/5000][195/535][130393] Loss_D: -0.020061 Loss_G: -0.004719 Loss_D_real: -0.014033 Loss_D_fake 0.006028
[1264/5000][200/535][130394] Loss_D: -0.020917 Loss_G: 0.013901 Loss_D_real: -0.018986 Loss_D_fake 0.001930
[1264/5000][205/535][130395] Loss_D: -0.019984 Loss_G: -0.015197 Loss_D_real: -0.001178 Loss_D_fake 0.018806
[1264/5000][210/535][130396] Loss_D: -0.019290 Loss_G: -0.003193 Loss_D_real: -0.009198 Loss_D_fake 0.010092
[1264/5000][215/535][130397] Loss_D: -0.019666 Loss_G: 0.008614 Loss_D_real: -0.033121 Loss_D_fake -0.013455
[1264/5000][220/535][130398] Loss_D: -0.020364 Loss_G: 0.013108 Loss_D_real: -0.023623 Loss_D_fake -0.003259
[1264/5000][225/535][130399] Loss_D: -0.020057 Loss_G: 0.013255 Loss_D_real: -0.025975 Loss_D_fake -0.005918
[1264/5000][230/535][130400] Loss_D: -0.019057 Loss_G: 0.005299 Loss_D_real: -0.016575 Loss_D_fake 0.002481
[1264/5000][235/535][130401] Loss_D: -0.021373 Loss_G: 0.028131 Loss_D_real: -0.024901 Loss_D_fake -0.003528
[1264/5000][240/535][130402] Loss_D: -0.018833 Loss_G: -0.001350 Loss_D_real: -0.001944 Loss_D_fake 0.016889
[1264/5000][245/535][130403] Loss_D: -0.019578 Loss_G: -0.015825 Loss_D_real: -0.004654 Loss_D_fake 0.014924
[1264/5000][250/535][130404] Loss_D: -0.019287 Loss_G: 0.003736 Loss_D_real: -0.017618 Loss_D_fake 0.001669
[1264/5000][255/535][130405] Loss_D: -0.019627 Loss_G: -0.001380 Loss_D_real: -0.010618 Loss_D_fake 0.009009
[1264/5000][260/535][130406] Loss_D: -0.019619 Loss_G: 0.019347 Loss_D_real: -0.030501 Loss_D_fake -0.010882
[1264/5000][265/535][130407] Loss_D: -0.020477 Loss_G: 0.008364 Loss_D_real: -0.022678 Loss_D_fake -0.002201
[1264/5000][270/535][130408] Loss_D: -0.018959 Loss_G: 0.017609 Loss_D_real: -0.037180 Loss_D_fake -0.018221
[1264/5000][275/535][130409] Loss_D: -0.020150 Loss_G: -0.002126 Loss_D_real: -0.004969 Loss_D_fake 0.015181
[1264/5000][280/535][130410] Loss_D: -0.020773 Loss_G: 0.002417 Loss_D_real: -0.025803 Loss_D_fake -0.005031
[1264/5000][285/535][130411] Loss_D: -0.018919 Loss_G: -0.008272 Loss_D_real: 0.009256 Loss_D_fake 0.028175
[1264/5000][290/535][130412] Loss_D: -0.020933 Loss_G: 0.011497 Loss_D_real: -0.017000 Loss_D_fake 0.003933
[1264/5000][295/535][130413] Loss_D: -0.019690 Loss_G: 0.006046 Loss_D_real: -0.006793 Loss_D_fake 0.012896
[1264/5000][300/535][130414] Loss_D: -0.020131 Loss_G: 0.008791 Loss_D_real: -0.018517 Loss_D_fake 0.001614
[1264/5000][305/535][130415] Loss_D: -0.019093 Loss_G: 0.013689 Loss_D_real: -0.029345 Loss_D_fake -0.010253
[1264/5000][310/535][130416] Loss_D: -0.021389 Loss_G: -0.002843 Loss_D_real: -0.002427 Loss_D_fake 0.018962
[1264/5000][315/535][130417] Loss_D: -0.019958 Loss_G: 0.014449 Loss_D_real: -0.024908 Loss_D_fake -0.004950
[1264/5000][320/535][130418] Loss_D: -0.019025 Loss_G: 0.017926 Loss_D_real: -0.022266 Loss_D_fake -0.003241
[1264/5000][325/535][130419] Loss_D: -0.019561 Loss_G: 0.000124 Loss_D_real: -0.009477 Loss_D_fake 0.010085
[1264/5000][330/535][130420] Loss_D: -0.020832 Loss_G: -0.011574 Loss_D_real: -0.004862 Loss_D_fake 0.015970
[1264/5000][335/535][130421] Loss_D: -0.017911 Loss_G: -0.002074 Loss_D_real: -0.002011 Loss_D_fake 0.015900
[1264/5000][340/535][130422] Loss_D: -0.020536 Loss_G: -0.003828 Loss_D_real: -0.013694 Loss_D_fake 0.006842
[1264/5000][345/535][130423] Loss_D: -0.020301 Loss_G: 0.005369 Loss_D_real: -0.015442 Loss_D_fake 0.004859
[1264/5000][350/535][130424] Loss_D: -0.020206 Loss_G: -0.006053 Loss_D_real: -0.005332 Loss_D_fake 0.014874
[1264/5000][355/535][130425] Loss_D: -0.021821 Loss_G: 0.013487 Loss_D_real: -0.011645 Loss_D_fake 0.010176
[1264/5000][360/535][130426] Loss_D: -0.018490 Loss_G: -0.000162 Loss_D_real: -0.003590 Loss_D_fake 0.014900
[1264/5000][365/535][130427] Loss_D: -0.020223 Loss_G: -0.000698 Loss_D_real: -0.019655 Loss_D_fake 0.000568
[1264/5000][370/535][130428] Loss_D: -0.019212 Loss_G: 0.023740 Loss_D_real: -0.026630 Loss_D_fake -0.007418
[1264/5000][375/535][130429] Loss_D: -0.020144 Loss_G: 0.009803 Loss_D_real: -0.022327 Loss_D_fake -0.002183
[1264/5000][380/535][130430] Loss_D: -0.019411 Loss_G: -0.005400 Loss_D_real: -0.009042 Loss_D_fake 0.010370
[1264/5000][385/535][130431] Loss_D: -0.018310 Loss_G: -0.010409 Loss_D_real: -0.000459 Loss_D_fake 0.017851
[1264/5000][390/535][130432] Loss_D: -0.017950 Loss_G: 0.018072 Loss_D_real: -0.027305 Loss_D_fake -0.009355
[1264/5000][395/535][130433] Loss_D: -0.020302 Loss_G: 0.005380 Loss_D_real: -0.007140 Loss_D_fake 0.013162
[1264/5000][400/535][130434] Loss_D: -0.018993 Loss_G: 0.008967 Loss_D_real: -0.014693 Loss_D_fake 0.004300
[1264/5000][405/535][130435] Loss_D: -0.019771 Loss_G: -0.003876 Loss_D_real: -0.016812 Loss_D_fake 0.002959
[1264/5000][410/535][130436] Loss_D: -0.018558 Loss_G: -0.009921 Loss_D_real: 0.006262 Loss_D_fake 0.024820
[1264/5000][415/535][130437] Loss_D: -0.019307 Loss_G: 0.019282 Loss_D_real: -0.036810 Loss_D_fake -0.017503
[1264/5000][420/535][130438] Loss_D: -0.022208 Loss_G: 0.014978 Loss_D_real: -0.029807 Loss_D_fake -0.007598
[1264/5000][425/535][130439] Loss_D: -0.019770 Loss_G: -0.009062 Loss_D_real: -0.008694 Loss_D_fake 0.011076
[1264/5000][430/535][130440] Loss_D: -0.021695 Loss_G: -0.004659 Loss_D_real: -0.011503 Loss_D_fake 0.010191
[1264/5000][435/535][130441] Loss_D: -0.020597 Loss_G: 0.012299 Loss_D_real: -0.018058 Loss_D_fake 0.002539
[1264/5000][440/535][130442] Loss_D: -0.020891 Loss_G: 0.006372 Loss_D_real: -0.023067 Loss_D_fake -0.002176
[1264/5000][445/535][130443] Loss_D: -0.020468 Loss_G: 0.025634 Loss_D_real: -0.022922 Loss_D_fake -0.002454
[1264/5000][450/535][130444] Loss_D: -0.018217 Loss_G: -0.006417 Loss_D_real: 0.001662 Loss_D_fake 0.019879
[1264/5000][455/535][130445] Loss_D: -0.019637 Loss_G: -0.014129 Loss_D_real: 0.005242 Loss_D_fake 0.024879
[1264/5000][460/535][130446] Loss_D: -0.020039 Loss_G: 0.012653 Loss_D_real: -0.023376 Loss_D_fake -0.003337
[1264/5000][465/535][130447] Loss_D: -0.019495 Loss_G: 0.013622 Loss_D_real: -0.019415 Loss_D_fake 0.000080
[1264/5000][470/535][130448] Loss_D: -0.018897 Loss_G: 0.010382 Loss_D_real: -0.021494 Loss_D_fake -0.002597
[1264/5000][475/535][130449] Loss_D: -0.019867 Loss_G: 0.001840 Loss_D_real: -0.000054 Loss_D_fake 0.019813
[1264/5000][480/535][130450] Loss_D: -0.019805 Loss_G: -0.000768 Loss_D_real: -0.018474 Loss_D_fake 0.001331
[1264/5000][485/535][130451] Loss_D: -0.019040 Loss_G: 0.020611 Loss_D_real: -0.021508 Loss_D_fake -0.002468
[1264/5000][490/535][130452] Loss_D: -0.021497 Loss_G: 0.013704 Loss_D_real: -0.019881 Loss_D_fake 0.001616
[1264/5000][495/535][130453] Loss_D: -0.020157 Loss_G: 0.007692 Loss_D_real: -0.008478 Loss_D_fake 0.011679
[1264/5000][500/535][130454] Loss_D: -0.022363 Loss_G: -0.007617 Loss_D_real: -0.015739 Loss_D_fake 0.006623
[1264/5000][505/535][130455] Loss_D: -0.020618 Loss_G: -0.000823 Loss_D_real: -0.016030 Loss_D_fake 0.004587
[1264/5000][510/535][130456] Loss_D: -0.020195 Loss_G: 0.013398 Loss_D_real: -0.016969 Loss_D_fake 0.003226
[1264/5000][515/535][130457] Loss_D: -0.021889 Loss_G: 0.015369 Loss_D_real: -0.023263 Loss_D_fake -0.001374
[1264/5000][520/535][130458] Loss_D: -0.020808 Loss_G: 0.024587 Loss_D_real: -0.019744 Loss_D_fake 0.001064
[1264/5000][525/535][130459] Loss_D: -0.020051 Loss_G: -0.023770 Loss_D_real: -0.001140 Loss_D_fake 0.018912
[1264/5000][530/535][130460] Loss_D: -0.018344 Loss_G: 0.019992 Loss_D_real: -0.023992 Loss_D_fake -0.005649
[1264/5000][535/535][130461] Loss_D: -0.019685 Loss_G: -0.029059 Loss_D_real: -0.015807 Loss_D_fake 0.003878
[1265/5000][5/535][130462] Loss_D: -0.020908 Loss_G: 0.006640 Loss_D_real: -0.005566 Loss_D_fake 0.015342
[1265/5000][10/535][130463] Loss_D: -0.019665 Loss_G: 0.005084 Loss_D_real: -0.023248 Loss_D_fake -0.003583
[1265/5000][15/535][130464] Loss_D: -0.020523 Loss_G: 0.011267 Loss_D_real: -0.024881 Loss_D_fake -0.004358
[1265/5000][20/535][130465] Loss_D: -0.020418 Loss_G: 0.010995 Loss_D_real: -0.022503 Loss_D_fake -0.002084
[1265/5000][25/535][130466] Loss_D: -0.019608 Loss_G: 0.000902 Loss_D_real: -0.016958 Loss_D_fake 0.002650
[1265/5000][30/535][130467] Loss_D: -0.019160 Loss_G: 0.019347 Loss_D_real: -0.029529 Loss_D_fake -0.010370
[1265/5000][35/535][130468] Loss_D: -0.018299 Loss_G: 0.012572 Loss_D_real: -0.028862 Loss_D_fake -0.010563
[1265/5000][40/535][130469] Loss_D: -0.018721 Loss_G: -0.011315 Loss_D_real: -0.008056 Loss_D_fake 0.010666
[1265/5000][45/535][130470] Loss_D: -0.019483 Loss_G: 0.009477 Loss_D_real: -0.010063 Loss_D_fake 0.009420
[1265/5000][50/535][130471] Loss_D: -0.019428 Loss_G: 0.021314 Loss_D_real: -0.025769 Loss_D_fake -0.006341
[1265/5000][55/535][130472] Loss_D: -0.019933 Loss_G: -0.013922 Loss_D_real: -0.009664 Loss_D_fake 0.010269
[1265/5000][60/535][130473] Loss_D: -0.020056 Loss_G: 0.000766 Loss_D_real: -0.004291 Loss_D_fake 0.015764
[1265/5000][65/535][130474] Loss_D: -0.020465 Loss_G: 0.011512 Loss_D_real: -0.015605 Loss_D_fake 0.004861
[1265/5000][70/535][130475] Loss_D: -0.020478 Loss_G: 0.000499 Loss_D_real: -0.017109 Loss_D_fake 0.003369
[1265/5000][75/535][130476] Loss_D: -0.020082 Loss_G: -0.009331 Loss_D_real: -0.003987 Loss_D_fake 0.016096
[1265/5000][80/535][130477] Loss_D: -0.020305 Loss_G: 0.004042 Loss_D_real: -0.014414 Loss_D_fake 0.005890
[1265/5000][85/535][130478] Loss_D: -0.019117 Loss_G: 0.013207 Loss_D_real: -0.026067 Loss_D_fake -0.006951
[1265/5000][90/535][130479] Loss_D: -0.019433 Loss_G: 0.020707 Loss_D_real: -0.025670 Loss_D_fake -0.006236
[1265/5000][95/535][130480] Loss_D: -0.019096 Loss_G: -0.002828 Loss_D_real: -0.011007 Loss_D_fake 0.008090
[1265/5000][100/535][130481] Loss_D: -0.019227 Loss_G: 0.017580 Loss_D_real: -0.028106 Loss_D_fake -0.008879
[1265/5000][105/535][130482] Loss_D: -0.021186 Loss_G: -0.003816 Loss_D_real: -0.002784 Loss_D_fake 0.018402
[1265/5000][110/535][130483] Loss_D: -0.020201 Loss_G: 0.011993 Loss_D_real: -0.010200 Loss_D_fake 0.010000
[1265/5000][115/535][130484] Loss_D: -0.019413 Loss_G: 0.007969 Loss_D_real: -0.030258 Loss_D_fake -0.010845
[1265/5000][120/535][130485] Loss_D: -0.021144 Loss_G: 0.017105 Loss_D_real: -0.010293 Loss_D_fake 0.010851
[1265/5000][125/535][130486] Loss_D: -0.021105 Loss_G: -0.009392 Loss_D_real: -0.014081 Loss_D_fake 0.007024
[1265/5000][130/535][130487] Loss_D: -0.019240 Loss_G: 0.010723 Loss_D_real: -0.021528 Loss_D_fake -0.002288
[1265/5000][135/535][130488] Loss_D: -0.019846 Loss_G: -0.011598 Loss_D_real: -0.000088 Loss_D_fake 0.019759
[1265/5000][140/535][130489] Loss_D: -0.018814 Loss_G: -0.003107 Loss_D_real: 0.002994 Loss_D_fake 0.021808
[1265/5000][145/535][130490] Loss_D: -0.019622 Loss_G: 0.023859 Loss_D_real: -0.023146 Loss_D_fake -0.003524
[1265/5000][150/535][130491] Loss_D: -0.019448 Loss_G: 0.001435 Loss_D_real: -0.008178 Loss_D_fake 0.011270
[1265/5000][155/535][130492] Loss_D: -0.019361 Loss_G: 0.001403 Loss_D_real: -0.015030 Loss_D_fake 0.004331
[1265/5000][160/535][130493] Loss_D: -0.018675 Loss_G: 0.000938 Loss_D_real: -0.013866 Loss_D_fake 0.004809
[1265/5000][165/535][130494] Loss_D: -0.020142 Loss_G: 0.000873 Loss_D_real: -0.018381 Loss_D_fake 0.001761
[1265/5000][170/535][130495] Loss_D: -0.019669 Loss_G: 0.011914 Loss_D_real: -0.020109 Loss_D_fake -0.000440
[1265/5000][175/535][130496] Loss_D: -0.018556 Loss_G: -0.021983 Loss_D_real: -0.013804 Loss_D_fake 0.004752
[1265/5000][180/535][130497] Loss_D: -0.020143 Loss_G: 0.004871 Loss_D_real: -0.008081 Loss_D_fake 0.012062
[1265/5000][185/535][130498] Loss_D: -0.019832 Loss_G: -0.000748 Loss_D_real: -0.016751 Loss_D_fake 0.003081
[1265/5000][190/535][130499] Loss_D: -0.020543 Loss_G: 0.016546 Loss_D_real: -0.013268 Loss_D_fake 0.007276
[1265/5000][195/535][130500] Loss_D: -0.020182 Loss_G: 0.001530 Loss_D_real: -0.009927 Loss_D_fake 0.010255
[1265/5000][295/535][130501] Loss_D: -0.023350 Loss_G: 0.015156 Loss_D_real: -0.014663 Loss_D_fake 0.008688
[1265/5000][300/535][130502] Loss_D: -0.022425 Loss_G: 0.015860 Loss_D_real: -0.018244 Loss_D_fake 0.004181
[1265/5000][305/535][130503] Loss_D: -0.019854 Loss_G: 0.016807 Loss_D_real: -0.022757 Loss_D_fake -0.002903
[1265/5000][310/535][130504] Loss_D: -0.019096 Loss_G: 0.022974 Loss_D_real: -0.008315 Loss_D_fake 0.010781
[1265/5000][315/535][130505] Loss_D: -0.019142 Loss_G: -0.002363 Loss_D_real: -0.026777 Loss_D_fake -0.007635
[1265/5000][320/535][130506] Loss_D: -0.018691 Loss_G: 0.004942 Loss_D_real: -0.015562 Loss_D_fake 0.003129
[1265/5000][325/535][130507] Loss_D: -0.018422 Loss_G: 0.002661 Loss_D_real: -0.031652 Loss_D_fake -0.013231
[1265/5000][330/535][130508] Loss_D: -0.019214 Loss_G: 0.011699 Loss_D_real: -0.027455 Loss_D_fake -0.008241
[1265/5000][335/535][130509] Loss_D: -0.018773 Loss_G: 0.016189 Loss_D_real: -0.024667 Loss_D_fake -0.005894
[1265/5000][340/535][130510] Loss_D: -0.019686 Loss_G: 0.010737 Loss_D_real: -0.016754 Loss_D_fake 0.002932
[1265/5000][345/535][130511] Loss_D: -0.019879 Loss_G: 0.000713 Loss_D_real: -0.006752 Loss_D_fake 0.013127
[1265/5000][350/535][130512] Loss_D: -0.020933 Loss_G: 0.001764 Loss_D_real: -0.015224 Loss_D_fake 0.005708
[1265/5000][355/535][130513] Loss_D: -0.020718 Loss_G: 0.004439 Loss_D_real: -0.020635 Loss_D_fake 0.000083
[1265/5000][360/535][130514] Loss_D: -0.020115 Loss_G: 0.010982 Loss_D_real: -0.017777 Loss_D_fake 0.002338
[1265/5000][365/535][130515] Loss_D: -0.020068 Loss_G: 0.007167 Loss_D_real: -0.021602 Loss_D_fake -0.001534
[1265/5000][370/535][130516] Loss_D: -0.018617 Loss_G: 0.002677 Loss_D_real: -0.014133 Loss_D_fake 0.004484
[1265/5000][375/535][130517] Loss_D: -0.018057 Loss_G: 0.017615 Loss_D_real: -0.028870 Loss_D_fake -0.010813
[1265/5000][380/535][130518] Loss_D: -0.019537 Loss_G: -0.002681 Loss_D_real: -0.018314 Loss_D_fake 0.001224
[1265/5000][385/535][130519] Loss_D: -0.019636 Loss_G: 0.017993 Loss_D_real: -0.023530 Loss_D_fake -0.003894
[1265/5000][390/535][130520] Loss_D: -0.018327 Loss_G: 0.016142 Loss_D_real: -0.016477 Loss_D_fake 0.001850
[1265/5000][395/535][130521] Loss_D: -0.019027 Loss_G: 0.016294 Loss_D_real: -0.016850 Loss_D_fake 0.002177
[1265/5000][400/535][130522] Loss_D: -0.020331 Loss_G: -0.013985 Loss_D_real: -0.021932 Loss_D_fake -0.001600
[1265/5000][405/535][130523] Loss_D: -0.020398 Loss_G: 0.002202 Loss_D_real: -0.012721 Loss_D_fake 0.007677
[1265/5000][410/535][130524] Loss_D: -0.020442 Loss_G: 0.018517 Loss_D_real: -0.025965 Loss_D_fake -0.005523
[1265/5000][415/535][130525] Loss_D: -0.020407 Loss_G: 0.002983 Loss_D_real: -0.024523 Loss_D_fake -0.004116
[1265/5000][420/535][130526] Loss_D: -0.020991 Loss_G: -0.004538 Loss_D_real: -0.016494 Loss_D_fake 0.004497
[1265/5000][425/535][130527] Loss_D: -0.020172 Loss_G: 0.009815 Loss_D_real: -0.023478 Loss_D_fake -0.003306
[1265/5000][430/535][130528] Loss_D: -0.019886 Loss_G: -0.013092 Loss_D_real: 0.004108 Loss_D_fake 0.023994
[1265/5000][435/535][130529] Loss_D: -0.018399 Loss_G: -0.000630 Loss_D_real: -0.015988 Loss_D_fake 0.002411
[1265/5000][440/535][130530] Loss_D: -0.019444 Loss_G: -0.011746 Loss_D_real: 0.005443 Loss_D_fake 0.024887
[1265/5000][445/535][130531] Loss_D: -0.020516 Loss_G: 0.018138 Loss_D_real: -0.025732 Loss_D_fake -0.005215
[1265/5000][450/535][130532] Loss_D: -0.020175 Loss_G: 0.010287 Loss_D_real: -0.010191 Loss_D_fake 0.009984
[1265/5000][455/535][130533] Loss_D: -0.020008 Loss_G: 0.020116 Loss_D_real: -0.020839 Loss_D_fake -0.000831
[1265/5000][460/535][130534] Loss_D: -0.018777 Loss_G: 0.005531 Loss_D_real: -0.017673 Loss_D_fake 0.001104
[1265/5000][465/535][130535] Loss_D: -0.020240 Loss_G: 0.007177 Loss_D_real: -0.029834 Loss_D_fake -0.009593
[1265/5000][470/535][130536] Loss_D: -0.019973 Loss_G: 0.012249 Loss_D_real: -0.026047 Loss_D_fake -0.006074
[1265/5000][475/535][130537] Loss_D: -0.020945 Loss_G: 0.012497 Loss_D_real: -0.018830 Loss_D_fake 0.002115
[1265/5000][480/535][130538] Loss_D: -0.019047 Loss_G: 0.012811 Loss_D_real: -0.027412 Loss_D_fake -0.008365
[1265/5000][485/535][130539] Loss_D: -0.020311 Loss_G: 0.011364 Loss_D_real: -0.004978 Loss_D_fake 0.015332
[1265/5000][490/535][130540] Loss_D: -0.021039 Loss_G: 0.008598 Loss_D_real: -0.029961 Loss_D_fake -0.008922
[1265/5000][495/535][130541] Loss_D: -0.019703 Loss_G: -0.005313 Loss_D_real: -0.013847 Loss_D_fake 0.005856
[1265/5000][500/535][130542] Loss_D: -0.019773 Loss_G: 0.016641 Loss_D_real: -0.024785 Loss_D_fake -0.005012
[1265/5000][505/535][130543] Loss_D: -0.018996 Loss_G: 0.027538 Loss_D_real: -0.030435 Loss_D_fake -0.011439
[1265/5000][510/535][130544] Loss_D: -0.019284 Loss_G: -0.023334 Loss_D_real: -0.004385 Loss_D_fake 0.014900
[1265/5000][515/535][130545] Loss_D: -0.019744 Loss_G: 0.012140 Loss_D_real: -0.022627 Loss_D_fake -0.002883
[1265/5000][520/535][130546] Loss_D: -0.019944 Loss_G: 0.007327 Loss_D_real: -0.013777 Loss_D_fake 0.006167
[1265/5000][525/535][130547] Loss_D: -0.018565 Loss_G: 0.027255 Loss_D_real: -0.027211 Loss_D_fake -0.008646
[1265/5000][530/535][130548] Loss_D: -0.020372 Loss_G: 0.001904 Loss_D_real: -0.001369 Loss_D_fake 0.019004
[1265/5000][535/535][130549] Loss_D: -0.021293 Loss_G: -0.008200 Loss_D_real: -0.005684 Loss_D_fake 0.015610
[1266/5000][5/535][130550] Loss_D: -0.019996 Loss_G: -0.005886 Loss_D_real: -0.015072 Loss_D_fake 0.004924
[1266/5000][10/535][130551] Loss_D: -0.019559 Loss_G: 0.007518 Loss_D_real: -0.011002 Loss_D_fake 0.008556
[1266/5000][15/535][130552] Loss_D: -0.021237 Loss_G: -0.009019 Loss_D_real: -0.028696 Loss_D_fake -0.007460
[1266/5000][20/535][130553] Loss_D: -0.020933 Loss_G: 0.017611 Loss_D_real: -0.019041 Loss_D_fake 0.001893
[1266/5000][25/535][130554] Loss_D: -0.019977 Loss_G: 0.006703 Loss_D_real: -0.011875 Loss_D_fake 0.008102
[1266/5000][30/535][130555] Loss_D: -0.019674 Loss_G: 0.011547 Loss_D_real: -0.026696 Loss_D_fake -0.007022
[1266/5000][35/535][130556] Loss_D: -0.021010 Loss_G: 0.013190 Loss_D_real: -0.019860 Loss_D_fake 0.001150
[1266/5000][40/535][130557] Loss_D: -0.020031 Loss_G: -0.006537 Loss_D_real: -0.006807 Loss_D_fake 0.013225
[1266/5000][45/535][130558] Loss_D: -0.020220 Loss_G: 0.015081 Loss_D_real: -0.013087 Loss_D_fake 0.007133
[1266/5000][50/535][130559] Loss_D: -0.018398 Loss_G: 0.024297 Loss_D_real: -0.029046 Loss_D_fake -0.010648
[1266/5000][55/535][130560] Loss_D: -0.019264 Loss_G: -0.002542 Loss_D_real: -0.007910 Loss_D_fake 0.011354
[1266/5000][60/535][130561] Loss_D: -0.018058 Loss_G: 0.021981 Loss_D_real: -0.028498 Loss_D_fake -0.010440
[1266/5000][65/535][130562] Loss_D: -0.019838 Loss_G: -0.002830 Loss_D_real: -0.009740 Loss_D_fake 0.010098
[1266/5000][70/535][130563] Loss_D: -0.020628 Loss_G: -0.005470 Loss_D_real: -0.023241 Loss_D_fake -0.002613
[1266/5000][75/535][130564] Loss_D: -0.019484 Loss_G: 0.010587 Loss_D_real: -0.020817 Loss_D_fake -0.001333
[1266/5000][80/535][130565] Loss_D: -0.019098 Loss_G: 0.029794 Loss_D_real: -0.022290 Loss_D_fake -0.003192
[1266/5000][85/535][130566] Loss_D: -0.019777 Loss_G: -0.001890 Loss_D_real: -0.014089 Loss_D_fake 0.005688
[1266/5000][90/535][130567] Loss_D: -0.020296 Loss_G: -0.001848 Loss_D_real: -0.021584 Loss_D_fake -0.001288
[1266/5000][95/535][130568] Loss_D: -0.017887 Loss_G: 0.027882 Loss_D_real: -0.035818 Loss_D_fake -0.017931
[1266/5000][100/535][130569] Loss_D: -0.020524 Loss_G: 0.008324 Loss_D_real: -0.001859 Loss_D_fake 0.018665
[1266/5000][105/535][130570] Loss_D: -0.020842 Loss_G: -0.004854 Loss_D_real: -0.017100 Loss_D_fake 0.003742
[1266/5000][110/535][130571] Loss_D: -0.020892 Loss_G: 0.010149 Loss_D_real: -0.017737 Loss_D_fake 0.003155
[1266/5000][115/535][130572] Loss_D: -0.019091 Loss_G: 0.024855 Loss_D_real: -0.025822 Loss_D_fake -0.006732
[1266/5000][120/535][130573] Loss_D: -0.019579 Loss_G: -0.007826 Loss_D_real: 0.005044 Loss_D_fake 0.024623
[1266/5000][125/535][130574] Loss_D: -0.018915 Loss_G: 0.009156 Loss_D_real: -0.013675 Loss_D_fake 0.005239
[1266/5000][130/535][130575] Loss_D: -0.020132 Loss_G: -0.000790 Loss_D_real: -0.015385 Loss_D_fake 0.004747
[1266/5000][135/535][130576] Loss_D: -0.020517 Loss_G: -0.002690 Loss_D_real: 0.001672 Loss_D_fake 0.022188
[1266/5000][140/535][130577] Loss_D: -0.019494 Loss_G: 0.010053 Loss_D_real: -0.018998 Loss_D_fake 0.000496
[1266/5000][145/535][130578] Loss_D: -0.020312 Loss_G: 0.001410 Loss_D_real: -0.012068 Loss_D_fake 0.008244
[1266/5000][150/535][130579] Loss_D: -0.021467 Loss_G: 0.004098 Loss_D_real: -0.004740 Loss_D_fake 0.016727
[1266/5000][155/535][130580] Loss_D: -0.019937 Loss_G: 0.016446 Loss_D_real: -0.024862 Loss_D_fake -0.004925
[1266/5000][160/535][130581] Loss_D: -0.020203 Loss_G: 0.010430 Loss_D_real: -0.024788 Loss_D_fake -0.004585
[1266/5000][165/535][130582] Loss_D: -0.019176 Loss_G: 0.018931 Loss_D_real: -0.027449 Loss_D_fake -0.008272
[1266/5000][170/535][130583] Loss_D: -0.019510 Loss_G: -0.010466 Loss_D_real: 0.003568 Loss_D_fake 0.023078
[1266/5000][175/535][130584] Loss_D: -0.019276 Loss_G: 0.023445 Loss_D_real: -0.027107 Loss_D_fake -0.007831
[1266/5000][180/535][130585] Loss_D: -0.020137 Loss_G: 0.009344 Loss_D_real: -0.010846 Loss_D_fake 0.009291
[1266/5000][185/535][130586] Loss_D: -0.019661 Loss_G: 0.000480 Loss_D_real: -0.017860 Loss_D_fake 0.001800
[1266/5000][190/535][130587] Loss_D: -0.019936 Loss_G: -0.005799 Loss_D_real: -0.007088 Loss_D_fake 0.012848
[1266/5000][195/535][130588] Loss_D: -0.020602 Loss_G: 0.010567 Loss_D_real: -0.016296 Loss_D_fake 0.004306
[1266/5000][200/535][130589] Loss_D: -0.019133 Loss_G: 0.024275 Loss_D_real: -0.033578 Loss_D_fake -0.014445
[1266/5000][205/535][130590] Loss_D: -0.020131 Loss_G: -0.001682 Loss_D_real: -0.006104 Loss_D_fake 0.014027
[1266/5000][210/535][130591] Loss_D: -0.019975 Loss_G: -0.003921 Loss_D_real: -0.008651 Loss_D_fake 0.011324
[1266/5000][215/535][130592] Loss_D: -0.019217 Loss_G: 0.024290 Loss_D_real: -0.030777 Loss_D_fake -0.011560
[1266/5000][220/535][130593] Loss_D: -0.021481 Loss_G: 0.011023 Loss_D_real: -0.018235 Loss_D_fake 0.003246
[1266/5000][225/535][130594] Loss_D: -0.020565 Loss_G: 0.005468 Loss_D_real: -0.015577 Loss_D_fake 0.004989
[1266/5000][230/535][130595] Loss_D: -0.020499 Loss_G: -0.001857 Loss_D_real: -0.014549 Loss_D_fake 0.005950
[1266/5000][235/535][130596] Loss_D: -0.019531 Loss_G: -0.014903 Loss_D_real: -0.001008 Loss_D_fake 0.018523
[1266/5000][240/535][130597] Loss_D: -0.018091 Loss_G: 0.010045 Loss_D_real: -0.023677 Loss_D_fake -0.005586
[1266/5000][245/535][130598] Loss_D: -0.019788 Loss_G: 0.005142 Loss_D_real: -0.025831 Loss_D_fake -0.006043
[1266/5000][250/535][130599] Loss_D: -0.018363 Loss_G: -0.002183 Loss_D_real: -0.011160 Loss_D_fake 0.007204
[1266/5000][255/535][130600] Loss_D: -0.017769 Loss_G: 0.019737 Loss_D_real: -0.027873 Loss_D_fake -0.010105
[1266/5000][260/535][130601] Loss_D: -0.020705 Loss_G: -0.000803 Loss_D_real: -0.005001 Loss_D_fake 0.015703
[1266/5000][265/535][130602] Loss_D: -0.019776 Loss_G: -0.003001 Loss_D_real: -0.017532 Loss_D_fake 0.002244
[1266/5000][270/535][130603] Loss_D: -0.019756 Loss_G: -0.007413 Loss_D_real: -0.001893 Loss_D_fake 0.017863
[1266/5000][275/535][130604] Loss_D: -0.020410 Loss_G: 0.004821 Loss_D_real: -0.020308 Loss_D_fake 0.000103
[1266/5000][280/535][130605] Loss_D: -0.018771 Loss_G: 0.022237 Loss_D_real: -0.022165 Loss_D_fake -0.003394
[1266/5000][285/535][130606] Loss_D: -0.020427 Loss_G: -0.001810 Loss_D_real: -0.027346 Loss_D_fake -0.006919
[1266/5000][290/535][130607] Loss_D: -0.019499 Loss_G: -0.007772 Loss_D_real: -0.008410 Loss_D_fake 0.011090
[1266/5000][295/535][130608] Loss_D: -0.019509 Loss_G: 0.018700 Loss_D_real: -0.020153 Loss_D_fake -0.000643
[1266/5000][300/535][130609] Loss_D: -0.019028 Loss_G: -0.009317 Loss_D_real: -0.004828 Loss_D_fake 0.014199
[1266/5000][305/535][130610] Loss_D: -0.020072 Loss_G: -0.002299 Loss_D_real: -0.020967 Loss_D_fake -0.000895
[1266/5000][310/535][130611] Loss_D: -0.018518 Loss_G: -0.016871 Loss_D_real: -0.004939 Loss_D_fake 0.013579
[1266/5000][315/535][130612] Loss_D: -0.019370 Loss_G: 0.003446 Loss_D_real: -0.010317 Loss_D_fake 0.009053
[1266/5000][320/535][130613] Loss_D: -0.020253 Loss_G: -0.005651 Loss_D_real: 0.010142 Loss_D_fake 0.030395
[1266/5000][325/535][130614] Loss_D: -0.019959 Loss_G: 0.019731 Loss_D_real: -0.016269 Loss_D_fake 0.003691
[1266/5000][330/535][130615] Loss_D: -0.020842 Loss_G: 0.009415 Loss_D_real: -0.019728 Loss_D_fake 0.001115
[1266/5000][335/535][130616] Loss_D: -0.017783 Loss_G: 0.022990 Loss_D_real: -0.016995 Loss_D_fake 0.000788
[1266/5000][340/535][130617] Loss_D: -0.020481 Loss_G: -0.007634 Loss_D_real: -0.010505 Loss_D_fake 0.009976
[1266/5000][345/535][130618] Loss_D: -0.019342 Loss_G: 0.010119 Loss_D_real: -0.007206 Loss_D_fake 0.012136
[1266/5000][350/535][130619] Loss_D: -0.019201 Loss_G: -0.002861 Loss_D_real: -0.008293 Loss_D_fake 0.010908
[1266/5000][355/535][130620] Loss_D: -0.019743 Loss_G: -0.004228 Loss_D_real: -0.017110 Loss_D_fake 0.002633
[1266/5000][360/535][130621] Loss_D: -0.020078 Loss_G: 0.020360 Loss_D_real: -0.021221 Loss_D_fake -0.001143
[1266/5000][365/535][130622] Loss_D: -0.021436 Loss_G: 0.003797 Loss_D_real: -0.013137 Loss_D_fake 0.008300
[1266/5000][370/535][130623] Loss_D: -0.020109 Loss_G: 0.008630 Loss_D_real: -0.016368 Loss_D_fake 0.003741
[1266/5000][375/535][130624] Loss_D: -0.020627 Loss_G: 0.011303 Loss_D_real: -0.011107 Loss_D_fake 0.009520
[1266/5000][380/535][130625] Loss_D: -0.018422 Loss_G: 0.014882 Loss_D_real: -0.051679 Loss_D_fake -0.033258
[1266/5000][385/535][130626] Loss_D: -0.019305 Loss_G: -0.024092 Loss_D_real: -0.002686 Loss_D_fake 0.016619
[1266/5000][390/535][130627] Loss_D: -0.020117 Loss_G: 0.019425 Loss_D_real: -0.030318 Loss_D_fake -0.010201
[1266/5000][395/535][130628] Loss_D: -0.019156 Loss_G: -0.006183 Loss_D_real: -0.010726 Loss_D_fake 0.008429
[1266/5000][400/535][130629] Loss_D: -0.018928 Loss_G: -0.013647 Loss_D_real: 0.000615 Loss_D_fake 0.019543
[1266/5000][405/535][130630] Loss_D: -0.019801 Loss_G: 0.016640 Loss_D_real: -0.023287 Loss_D_fake -0.003486
[1266/5000][410/535][130631] Loss_D: -0.019960 Loss_G: 0.009390 Loss_D_real: -0.014362 Loss_D_fake 0.005598
[1266/5000][415/535][130632] Loss_D: -0.020102 Loss_G: 0.006102 Loss_D_real: -0.018955 Loss_D_fake 0.001146
[1266/5000][420/535][130633] Loss_D: -0.019368 Loss_G: -0.008642 Loss_D_real: -0.009757 Loss_D_fake 0.009612
[1266/5000][425/535][130634] Loss_D: -0.019962 Loss_G: -0.001311 Loss_D_real: -0.005853 Loss_D_fake 0.014110
[1266/5000][430/535][130635] Loss_D: -0.019871 Loss_G: 0.001652 Loss_D_real: -0.010129 Loss_D_fake 0.009742
[1266/5000][435/535][130636] Loss_D: -0.019796 Loss_G: 0.019742 Loss_D_real: -0.022733 Loss_D_fake -0.002937
[1266/5000][440/535][130637] Loss_D: -0.020005 Loss_G: -0.000538 Loss_D_real: -0.003168 Loss_D_fake 0.016837
[1266/5000][445/535][130638] Loss_D: -0.020669 Loss_G: 0.000004 Loss_D_real: -0.008616 Loss_D_fake 0.012053
[1266/5000][450/535][130639] Loss_D: -0.018436 Loss_G: -0.017252 Loss_D_real: 0.004959 Loss_D_fake 0.023395
[1266/5000][455/535][130640] Loss_D: -0.019391 Loss_G: 0.019328 Loss_D_real: -0.021421 Loss_D_fake -0.002030
[1266/5000][460/535][130641] Loss_D: -0.019423 Loss_G: 0.017516 Loss_D_real: -0.016104 Loss_D_fake 0.003319
[1266/5000][465/535][130642] Loss_D: -0.019604 Loss_G: 0.002144 Loss_D_real: -0.010980 Loss_D_fake 0.008624
[1266/5000][470/535][130643] Loss_D: -0.019375 Loss_G: 0.026987 Loss_D_real: -0.023513 Loss_D_fake -0.004138
[1266/5000][475/535][130644] Loss_D: -0.020444 Loss_G: -0.005195 Loss_D_real: -0.006225 Loss_D_fake 0.014219
[1266/5000][480/535][130645] Loss_D: -0.020249 Loss_G: 0.015318 Loss_D_real: -0.011250 Loss_D_fake 0.008999
[1266/5000][485/535][130646] Loss_D: -0.021423 Loss_G: 0.010907 Loss_D_real: -0.016380 Loss_D_fake 0.005043
[1266/5000][490/535][130647] Loss_D: -0.019500 Loss_G: -0.005775 Loss_D_real: -0.012666 Loss_D_fake 0.006834
[1266/5000][495/535][130648] Loss_D: -0.018567 Loss_G: -0.014340 Loss_D_real: -0.006879 Loss_D_fake 0.011688
[1266/5000][500/535][130649] Loss_D: -0.019356 Loss_G: -0.008339 Loss_D_real: 0.000087 Loss_D_fake 0.019443
[1266/5000][505/535][130650] Loss_D: -0.020188 Loss_G: -0.022550 Loss_D_real: -0.008824 Loss_D_fake 0.011364
[1266/5000][510/535][130651] Loss_D: -0.021421 Loss_G: 0.024578 Loss_D_real: -0.012868 Loss_D_fake 0.008553
[1266/5000][515/535][130652] Loss_D: -0.020544 Loss_G: 0.022212 Loss_D_real: -0.017648 Loss_D_fake 0.002896
[1266/5000][520/535][130653] Loss_D: -0.021041 Loss_G: 0.010051 Loss_D_real: -0.015965 Loss_D_fake 0.005076
[1266/5000][525/535][130654] Loss_D: -0.019707 Loss_G: 0.002566 Loss_D_real: -0.026998 Loss_D_fake -0.007291
[1266/5000][530/535][130655] Loss_D: -0.019153 Loss_G: 0.013460 Loss_D_real: -0.033774 Loss_D_fake -0.014620
[1266/5000][535/535][130656] Loss_D: -0.018047 Loss_G: 0.026875 Loss_D_real: -0.022558 Loss_D_fake -0.004511
[1267/5000][5/535][130657] Loss_D: -0.020058 Loss_G: -0.003414 Loss_D_real: -0.015042 Loss_D_fake 0.005015
[1267/5000][10/535][130658] Loss_D: -0.020351 Loss_G: 0.020554 Loss_D_real: -0.024043 Loss_D_fake -0.003692
[1267/5000][15/535][130659] Loss_D: -0.019132 Loss_G: 0.006954 Loss_D_real: -0.014916 Loss_D_fake 0.004216
[1267/5000][20/535][130660] Loss_D: -0.017238 Loss_G: -0.010995 Loss_D_real: 0.004059 Loss_D_fake 0.021297
[1267/5000][25/535][130661] Loss_D: -0.018718 Loss_G: 0.008742 Loss_D_real: -0.030761 Loss_D_fake -0.012043
[1267/5000][30/535][130662] Loss_D: -0.020365 Loss_G: 0.010582 Loss_D_real: -0.012417 Loss_D_fake 0.007948
[1267/5000][35/535][130663] Loss_D: -0.020908 Loss_G: 0.007871 Loss_D_real: -0.016230 Loss_D_fake 0.004678
[1267/5000][40/535][130664] Loss_D: -0.019781 Loss_G: -0.012291 Loss_D_real: -0.006844 Loss_D_fake 0.012937
[1267/5000][45/535][130665] Loss_D: -0.020144 Loss_G: 0.004603 Loss_D_real: -0.022222 Loss_D_fake -0.002077
[1267/5000][50/535][130666] Loss_D: -0.018606 Loss_G: 0.011549 Loss_D_real: -0.027815 Loss_D_fake -0.009209
[1267/5000][55/535][130667] Loss_D: -0.019869 Loss_G: 0.017837 Loss_D_real: -0.020451 Loss_D_fake -0.000581
[1267/5000][60/535][130668] Loss_D: -0.020544 Loss_G: -0.002954 Loss_D_real: -0.009696 Loss_D_fake 0.010848
[1267/5000][65/535][130669] Loss_D: -0.019599 Loss_G: 0.015966 Loss_D_real: -0.031075 Loss_D_fake -0.011476
[1267/5000][70/535][130670] Loss_D: -0.019601 Loss_G: 0.010330 Loss_D_real: -0.017578 Loss_D_fake 0.002022
[1267/5000][75/535][130671] Loss_D: -0.020668 Loss_G: 0.007512 Loss_D_real: -0.019824 Loss_D_fake 0.000844
[1267/5000][80/535][130672] Loss_D: -0.018365 Loss_G: -0.004365 Loss_D_real: 0.002352 Loss_D_fake 0.020717
[1267/5000][85/535][130673] Loss_D: -0.020488 Loss_G: 0.010414 Loss_D_real: -0.011953 Loss_D_fake 0.008535
[1267/5000][90/535][130674] Loss_D: -0.020805 Loss_G: -0.002277 Loss_D_real: -0.012279 Loss_D_fake 0.008526
[1267/5000][95/535][130675] Loss_D: -0.019444 Loss_G: 0.018146 Loss_D_real: -0.015432 Loss_D_fake 0.004011
[1267/5000][100/535][130676] Loss_D: -0.018533 Loss_G: -0.012327 Loss_D_real: -0.008114 Loss_D_fake 0.010419
[1267/5000][105/535][130677] Loss_D: -0.020103 Loss_G: 0.020239 Loss_D_real: -0.026645 Loss_D_fake -0.006542
[1267/5000][110/535][130678] Loss_D: -0.019231 Loss_G: 0.014533 Loss_D_real: -0.028473 Loss_D_fake -0.009242
[1267/5000][115/535][130679] Loss_D: -0.019798 Loss_G: -0.010039 Loss_D_real: -0.016259 Loss_D_fake 0.003539
[1267/5000][120/535][130680] Loss_D: -0.019190 Loss_G: 0.019487 Loss_D_real: -0.032060 Loss_D_fake -0.012870
[1267/5000][125/535][130681] Loss_D: -0.019342 Loss_G: 0.019656 Loss_D_real: -0.025173 Loss_D_fake -0.005830
[1267/5000][130/535][130682] Loss_D: -0.018694 Loss_G: -0.001117 Loss_D_real: -0.003809 Loss_D_fake 0.014885
[1267/5000][135/535][130683] Loss_D: -0.020597 Loss_G: -0.005893 Loss_D_real: -0.010746 Loss_D_fake 0.009851
[1267/5000][140/535][130684] Loss_D: -0.020609 Loss_G: 0.008293 Loss_D_real: -0.025627 Loss_D_fake -0.005018
[1267/5000][145/535][130685] Loss_D: -0.020668 Loss_G: -0.000938 Loss_D_real: -0.004332 Loss_D_fake 0.016337
[1267/5000][150/535][130686] Loss_D: -0.020123 Loss_G: -0.010254 Loss_D_real: -0.005234 Loss_D_fake 0.014889
[1267/5000][155/535][130687] Loss_D: -0.019936 Loss_G: 0.010007 Loss_D_real: 0.001088 Loss_D_fake 0.021024
[1267/5000][160/535][130688] Loss_D: -0.021533 Loss_G: -0.002726 Loss_D_real: -0.011540 Loss_D_fake 0.009993
[1267/5000][165/535][130689] Loss_D: -0.020602 Loss_G: -0.024392 Loss_D_real: -0.012682 Loss_D_fake 0.007920
[1267/5000][170/535][130690] Loss_D: -0.018526 Loss_G: 0.033526 Loss_D_real: -0.030513 Loss_D_fake -0.011987
[1267/5000][175/535][130691] Loss_D: -0.019842 Loss_G: -0.010461 Loss_D_real: -0.001006 Loss_D_fake 0.018836
[1267/5000][180/535][130692] Loss_D: -0.020754 Loss_G: 0.018256 Loss_D_real: -0.031077 Loss_D_fake -0.010323
[1267/5000][185/535][130693] Loss_D: -0.021028 Loss_G: -0.002570 Loss_D_real: -0.013065 Loss_D_fake 0.007963
[1267/5000][190/535][130694] Loss_D: -0.021191 Loss_G: 0.007216 Loss_D_real: -0.010276 Loss_D_fake 0.010915
[1267/5000][195/535][130695] Loss_D: -0.020008 Loss_G: -0.010565 Loss_D_real: -0.005069 Loss_D_fake 0.014939
[1267/5000][200/535][130696] Loss_D: -0.020862 Loss_G: 0.003230 Loss_D_real: -0.002605 Loss_D_fake 0.018257
[1267/5000][205/535][130697] Loss_D: -0.019719 Loss_G: -0.005865 Loss_D_real: -0.013556 Loss_D_fake 0.006163
[1267/5000][210/535][130698] Loss_D: -0.019157 Loss_G: 0.020416 Loss_D_real: -0.026332 Loss_D_fake -0.007175
[1267/5000][215/535][130699] Loss_D: -0.020979 Loss_G: 0.008447 Loss_D_real: -0.010546 Loss_D_fake 0.010433
[1267/5000][220/535][130700] Loss_D: -0.019718 Loss_G: 0.007441 Loss_D_real: -0.022486 Loss_D_fake -0.002768
[1267/5000][225/535][130701] Loss_D: -0.019780 Loss_G: 0.009509 Loss_D_real: -0.024210 Loss_D_fake -0.004430
[1267/5000][230/535][130702] Loss_D: -0.019475 Loss_G: 0.023562 Loss_D_real: -0.042715 Loss_D_fake -0.023240
[1267/5000][235/535][130703] Loss_D: -0.020510 Loss_G: -0.004386 Loss_D_real: -0.005090 Loss_D_fake 0.015420
[1267/5000][240/535][130704] Loss_D: -0.019362 Loss_G: 0.009308 Loss_D_real: -0.021674 Loss_D_fake -0.002311
[1267/5000][245/535][130705] Loss_D: -0.020065 Loss_G: -0.004659 Loss_D_real: -0.011726 Loss_D_fake 0.008339
[1267/5000][250/535][130706] Loss_D: -0.020648 Loss_G: -0.003901 Loss_D_real: -0.007580 Loss_D_fake 0.013069
[1267/5000][255/535][130707] Loss_D: -0.020494 Loss_G: 0.011516 Loss_D_real: -0.017215 Loss_D_fake 0.003278
[1267/5000][260/535][130708] Loss_D: -0.019663 Loss_G: 0.002252 Loss_D_real: -0.003173 Loss_D_fake 0.016490
[1267/5000][265/535][130709] Loss_D: -0.020396 Loss_G: 0.009461 Loss_D_real: -0.012002 Loss_D_fake 0.008394
[1267/5000][270/535][130710] Loss_D: -0.018848 Loss_G: 0.019077 Loss_D_real: -0.029227 Loss_D_fake -0.010379
[1267/5000][275/535][130711] Loss_D: -0.019074 Loss_G: -0.000994 Loss_D_real: -0.018017 Loss_D_fake 0.001056
[1267/5000][280/535][130712] Loss_D: -0.020111 Loss_G: 0.002857 Loss_D_real: -0.013443 Loss_D_fake 0.006668
[1267/5000][285/535][130713] Loss_D: -0.019385 Loss_G: 0.018078 Loss_D_real: -0.028073 Loss_D_fake -0.008688
[1267/5000][290/535][130714] Loss_D: -0.019820 Loss_G: 0.016284 Loss_D_real: -0.013275 Loss_D_fake 0.006545
[1267/5000][295/535][130715] Loss_D: -0.019167 Loss_G: 0.021427 Loss_D_real: -0.039226 Loss_D_fake -0.020059
[1267/5000][300/535][130716] Loss_D: -0.020601 Loss_G: 0.009528 Loss_D_real: -0.024219 Loss_D_fake -0.003618
[1267/5000][305/535][130717] Loss_D: -0.019620 Loss_G: 0.025746 Loss_D_real: -0.026054 Loss_D_fake -0.006434
[1267/5000][310/535][130718] Loss_D: -0.019273 Loss_G: 0.008852 Loss_D_real: -0.016313 Loss_D_fake 0.002961
[1267/5000][315/535][130719] Loss_D: -0.020156 Loss_G: 0.001372 Loss_D_real: -0.016693 Loss_D_fake 0.003463
[1267/5000][320/535][130720] Loss_D: -0.018934 Loss_G: -0.030257 Loss_D_real: -0.005120 Loss_D_fake 0.013814
[1267/5000][325/535][130721] Loss_D: -0.018769 Loss_G: 0.021123 Loss_D_real: -0.020068 Loss_D_fake -0.001299
[1267/5000][330/535][130722] Loss_D: -0.021065 Loss_G: -0.011736 Loss_D_real: -0.002362 Loss_D_fake 0.018702
[1267/5000][335/535][130723] Loss_D: -0.018463 Loss_G: 0.017420 Loss_D_real: -0.008522 Loss_D_fake 0.009941
[1267/5000][340/535][130724] Loss_D: -0.020974 Loss_G: 0.009333 Loss_D_real: -0.010727 Loss_D_fake 0.010246
[1267/5000][345/535][130725] Loss_D: -0.021275 Loss_G: 0.016102 Loss_D_real: -0.020037 Loss_D_fake 0.001238
[1267/5000][350/535][130726] Loss_D: -0.020010 Loss_G: 0.004804 Loss_D_real: -0.026243 Loss_D_fake -0.006233
[1267/5000][355/535][130727] Loss_D: -0.020627 Loss_G: -0.005912 Loss_D_real: -0.015269 Loss_D_fake 0.005358
[1267/5000][360/535][130728] Loss_D: -0.019010 Loss_G: -0.011442 Loss_D_real: 0.001039 Loss_D_fake 0.020049
[1267/5000][365/535][130729] Loss_D: -0.018899 Loss_G: 0.023827 Loss_D_real: -0.018468 Loss_D_fake 0.000431
[1267/5000][370/535][130730] Loss_D: -0.020291 Loss_G: -0.010693 Loss_D_real: -0.006642 Loss_D_fake 0.013649
[1267/5000][375/535][130731] Loss_D: -0.020566 Loss_G: 0.012554 Loss_D_real: -0.026809 Loss_D_fake -0.006243
[1267/5000][380/535][130732] Loss_D: -0.020620 Loss_G: -0.006514 Loss_D_real: -0.006903 Loss_D_fake 0.013717
[1267/5000][385/535][130733] Loss_D: -0.018421 Loss_G: -0.010084 Loss_D_real: -0.003126 Loss_D_fake 0.015295
[1267/5000][390/535][130734] Loss_D: -0.019077 Loss_G: -0.000171 Loss_D_real: -0.005838 Loss_D_fake 0.013239
[1267/5000][395/535][130735] Loss_D: -0.020699 Loss_G: 0.018012 Loss_D_real: -0.030106 Loss_D_fake -0.009407
[1267/5000][400/535][130736] Loss_D: -0.018873 Loss_G: 0.018596 Loss_D_real: -0.028192 Loss_D_fake -0.009319
[1267/5000][405/535][130737] Loss_D: -0.021367 Loss_G: 0.007625 Loss_D_real: -0.014149 Loss_D_fake 0.007218
[1267/5000][410/535][130738] Loss_D: -0.021109 Loss_G: 0.000122 Loss_D_real: -0.020069 Loss_D_fake 0.001040
[1267/5000][415/535][130739] Loss_D: -0.020342 Loss_G: 0.008276 Loss_D_real: -0.022306 Loss_D_fake -0.001964
[1267/5000][420/535][130740] Loss_D: -0.021408 Loss_G: 0.014557 Loss_D_real: -0.018521 Loss_D_fake 0.002887
[1267/5000][425/535][130741] Loss_D: -0.020137 Loss_G: 0.006733 Loss_D_real: -0.018237 Loss_D_fake 0.001900
[1267/5000][430/535][130742] Loss_D: -0.020035 Loss_G: 0.019827 Loss_D_real: -0.022535 Loss_D_fake -0.002500
[1267/5000][435/535][130743] Loss_D: -0.018774 Loss_G: -0.024125 Loss_D_real: 0.010575 Loss_D_fake 0.029348
[1267/5000][440/535][130744] Loss_D: -0.020252 Loss_G: 0.008077 Loss_D_real: -0.019116 Loss_D_fake 0.001136
[1267/5000][445/535][130745] Loss_D: -0.019320 Loss_G: 0.032392 Loss_D_real: -0.020883 Loss_D_fake -0.001563
[1267/5000][450/535][130746] Loss_D: -0.019577 Loss_G: 0.008410 Loss_D_real: -0.012026 Loss_D_fake 0.007551
[1267/5000][455/535][130747] Loss_D: -0.020181 Loss_G: 0.006641 Loss_D_real: -0.019088 Loss_D_fake 0.001092
[1267/5000][460/535][130748] Loss_D: -0.018468 Loss_G: 0.025052 Loss_D_real: -0.033570 Loss_D_fake -0.015102
[1267/5000][465/535][130749] Loss_D: -0.019470 Loss_G: -0.006796 Loss_D_real: -0.004897 Loss_D_fake 0.014573
[1267/5000][470/535][130750] Loss_D: -0.021263 Loss_G: 0.008554 Loss_D_real: -0.021401 Loss_D_fake -0.000138
[1267/5000][475/535][130751] Loss_D: -0.020400 Loss_G: 0.006565 Loss_D_real: -0.012972 Loss_D_fake 0.007428
[1267/5000][480/535][130752] Loss_D: -0.018415 Loss_G: -0.019060 Loss_D_real: 0.005502 Loss_D_fake 0.023918
[1267/5000][485/535][130753] Loss_D: -0.020510 Loss_G: 0.015368 Loss_D_real: -0.012159 Loss_D_fake 0.008351
[1267/5000][490/535][130754] Loss_D: -0.019527 Loss_G: 0.005731 Loss_D_real: -0.019022 Loss_D_fake 0.000505
[1267/5000][495/535][130755] Loss_D: -0.020761 Loss_G: 0.004198 Loss_D_real: -0.026974 Loss_D_fake -0.006213
[1267/5000][500/535][130756] Loss_D: -0.020634 Loss_G: 0.002612 Loss_D_real: -0.017095 Loss_D_fake 0.003539
[1267/5000][505/535][130757] Loss_D: -0.018916 Loss_G: 0.018390 Loss_D_real: -0.026699 Loss_D_fake -0.007783
[1267/5000][510/535][130758] Loss_D: -0.018765 Loss_G: 0.007416 Loss_D_real: -0.017037 Loss_D_fake 0.001728
[1267/5000][515/535][130759] Loss_D: -0.020765 Loss_G: 0.013019 Loss_D_real: -0.026085 Loss_D_fake -0.005320
[1267/5000][520/535][130760] Loss_D: -0.019883 Loss_G: 0.004962 Loss_D_real: -0.014132 Loss_D_fake 0.005752
[1267/5000][525/535][130761] Loss_D: -0.020224 Loss_G: 0.005748 Loss_D_real: -0.021653 Loss_D_fake -0.001428
[1267/5000][530/535][130762] Loss_D: -0.019985 Loss_G: 0.011719 Loss_D_real: -0.043054 Loss_D_fake -0.023069
[1267/5000][535/535][130763] Loss_D: -0.021093 Loss_G: 0.036353 Loss_D_real: -0.008261 Loss_D_fake 0.012833
[1268/5000][5/535][130764] Loss_D: -0.020642 Loss_G: -0.006133 Loss_D_real: -0.024443 Loss_D_fake -0.003801
[1268/5000][10/535][130765] Loss_D: -0.020317 Loss_G: 0.015802 Loss_D_real: -0.024530 Loss_D_fake -0.004213
[1268/5000][15/535][130766] Loss_D: -0.019590 Loss_G: 0.011314 Loss_D_real: -0.030236 Loss_D_fake -0.010646
[1268/5000][20/535][130767] Loss_D: -0.020628 Loss_G: 0.012331 Loss_D_real: -0.021446 Loss_D_fake -0.000818
[1268/5000][25/535][130768] Loss_D: -0.019923 Loss_G: -0.010878 Loss_D_real: -0.014521 Loss_D_fake 0.005402
[1268/5000][30/535][130769] Loss_D: -0.021060 Loss_G: -0.001241 Loss_D_real: -0.006375 Loss_D_fake 0.014685
[1268/5000][35/535][130770] Loss_D: -0.019850 Loss_G: 0.016565 Loss_D_real: -0.019220 Loss_D_fake 0.000631
[1268/5000][40/535][130771] Loss_D: -0.020406 Loss_G: 0.004440 Loss_D_real: -0.014485 Loss_D_fake 0.005921
[1268/5000][45/535][130772] Loss_D: -0.019080 Loss_G: 0.000893 Loss_D_real: -0.020093 Loss_D_fake -0.001013
[1268/5000][50/535][130773] Loss_D: -0.020500 Loss_G: 0.005877 Loss_D_real: -0.019860 Loss_D_fake 0.000640
[1268/5000][55/535][130774] Loss_D: -0.018696 Loss_G: 0.008868 Loss_D_real: -0.028231 Loss_D_fake -0.009535
[1268/5000][60/535][130775] Loss_D: -0.019919 Loss_G: 0.003471 Loss_D_real: -0.006221 Loss_D_fake 0.013698
[1268/5000][65/535][130776] Loss_D: -0.018030 Loss_G: -0.008293 Loss_D_real: 0.005197 Loss_D_fake 0.023227
[1268/5000][70/535][130777] Loss_D: -0.018545 Loss_G: 0.000290 Loss_D_real: -0.016428 Loss_D_fake 0.002117
[1268/5000][75/535][130778] Loss_D: -0.019844 Loss_G: 0.000844 Loss_D_real: -0.009546 Loss_D_fake 0.010297
[1268/5000][80/535][130779] Loss_D: -0.020542 Loss_G: -0.002881 Loss_D_real: -0.017573 Loss_D_fake 0.002969
[1268/5000][85/535][130780] Loss_D: -0.019645 Loss_G: -0.009576 Loss_D_real: -0.008565 Loss_D_fake 0.011079
[1268/5000][90/535][130781] Loss_D: -0.021634 Loss_G: -0.001356 Loss_D_real: -0.004157 Loss_D_fake 0.017477
[1268/5000][95/535][130782] Loss_D: -0.019349 Loss_G: -0.001066 Loss_D_real: -0.009096 Loss_D_fake 0.010253
[1268/5000][100/535][130783] Loss_D: -0.019085 Loss_G: 0.032330 Loss_D_real: -0.024225 Loss_D_fake -0.005140
[1268/5000][105/535][130784] Loss_D: -0.019803 Loss_G: -0.011889 Loss_D_real: -0.005047 Loss_D_fake 0.014755
[1268/5000][110/535][130785] Loss_D: -0.019351 Loss_G: 0.012124 Loss_D_real: -0.022179 Loss_D_fake -0.002828
[1268/5000][115/535][130786] Loss_D: -0.019267 Loss_G: 0.012394 Loss_D_real: -0.018587 Loss_D_fake 0.000681
[1268/5000][120/535][130787] Loss_D: -0.020542 Loss_G: 0.006297 Loss_D_real: -0.013324 Loss_D_fake 0.007219
[1268/5000][125/535][130788] Loss_D: -0.020560 Loss_G: 0.012609 Loss_D_real: -0.028317 Loss_D_fake -0.007757
[1268/5000][130/535][130789] Loss_D: -0.019014 Loss_G: 0.018743 Loss_D_real: -0.016791 Loss_D_fake 0.002223
[1268/5000][135/535][130790] Loss_D: -0.019074 Loss_G: 0.008648 Loss_D_real: -0.025588 Loss_D_fake -0.006514
[1268/5000][140/535][130791] Loss_D: -0.019794 Loss_G: 0.017980 Loss_D_real: -0.021012 Loss_D_fake -0.001218
[1268/5000][145/535][130792] Loss_D: -0.019780 Loss_G: 0.012659 Loss_D_real: -0.030522 Loss_D_fake -0.010743
[1268/5000][150/535][130793] Loss_D: -0.019586 Loss_G: -0.007738 Loss_D_real: -0.012317 Loss_D_fake 0.007269
[1268/5000][155/535][130794] Loss_D: -0.019799 Loss_G: -0.000135 Loss_D_real: 0.000767 Loss_D_fake 0.020566
[1268/5000][160/535][130795] Loss_D: -0.020093 Loss_G: -0.003843 Loss_D_real: -0.014414 Loss_D_fake 0.005679
[1268/5000][165/535][130796] Loss_D: -0.019944 Loss_G: 0.017457 Loss_D_real: -0.024514 Loss_D_fake -0.004569
[1268/5000][170/535][130797] Loss_D: -0.018724 Loss_G: 0.012591 Loss_D_real: -0.005078 Loss_D_fake 0.013646
[1268/5000][175/535][130798] Loss_D: -0.019526 Loss_G: 0.000193 Loss_D_real: -0.008981 Loss_D_fake 0.010544
[1268/5000][180/535][130799] Loss_D: -0.020270 Loss_G: -0.000440 Loss_D_real: -0.032437 Loss_D_fake -0.012167
[1268/5000][185/535][130800] Loss_D: -0.020827 Loss_G: 0.007755 Loss_D_real: -0.017019 Loss_D_fake 0.003807
[1268/5000][190/535][130801] Loss_D: -0.020352 Loss_G: 0.018077 Loss_D_real: -0.023971 Loss_D_fake -0.003619
[1268/5000][195/535][130802] Loss_D: -0.020518 Loss_G: 0.017693 Loss_D_real: -0.015597 Loss_D_fake 0.004920
[1268/5000][200/535][130803] Loss_D: -0.022363 Loss_G: 0.015928 Loss_D_real: -0.031507 Loss_D_fake -0.009144
[1268/5000][205/535][130804] Loss_D: -0.019879 Loss_G: -0.020789 Loss_D_real: -0.002696 Loss_D_fake 0.017183
[1268/5000][210/535][130805] Loss_D: -0.018963 Loss_G: 0.017643 Loss_D_real: -0.034260 Loss_D_fake -0.015297
[1268/5000][215/535][130806] Loss_D: -0.020064 Loss_G: 0.004517 Loss_D_real: -0.017251 Loss_D_fake 0.002813
[1268/5000][220/535][130807] Loss_D: -0.019389 Loss_G: 0.016489 Loss_D_real: -0.038089 Loss_D_fake -0.018700
[1268/5000][225/535][130808] Loss_D: -0.021516 Loss_G: 0.009747 Loss_D_real: -0.012795 Loss_D_fake 0.008722
[1268/5000][230/535][130809] Loss_D: -0.021592 Loss_G: 0.014601 Loss_D_real: -0.013734 Loss_D_fake 0.007858
[1268/5000][235/535][130810] Loss_D: -0.019918 Loss_G: -0.004985 Loss_D_real: 0.000126 Loss_D_fake 0.020043
[1268/5000][240/535][130811] Loss_D: -0.018931 Loss_G: 0.004657 Loss_D_real: -0.022824 Loss_D_fake -0.003892
[1268/5000][245/535][130812] Loss_D: -0.019048 Loss_G: 0.023218 Loss_D_real: -0.029081 Loss_D_fake -0.010033
[1268/5000][250/535][130813] Loss_D: -0.019871 Loss_G: 0.022438 Loss_D_real: -0.026993 Loss_D_fake -0.007122
[1268/5000][255/535][130814] Loss_D: -0.020421 Loss_G: -0.000129 Loss_D_real: -0.024797 Loss_D_fake -0.004375
[1268/5000][260/535][130815] Loss_D: -0.019611 Loss_G: 0.005460 Loss_D_real: -0.014427 Loss_D_fake 0.005184
[1268/5000][265/535][130816] Loss_D: -0.019827 Loss_G: 0.011938 Loss_D_real: -0.018021 Loss_D_fake 0.001806
[1268/5000][270/535][130817] Loss_D: -0.018469 Loss_G: 0.016436 Loss_D_real: -0.025802 Loss_D_fake -0.007332
[1268/5000][275/535][130818] Loss_D: -0.019589 Loss_G: -0.001625 Loss_D_real: -0.003729 Loss_D_fake 0.015860
[1268/5000][280/535][130819] Loss_D: -0.019611 Loss_G: 0.015656 Loss_D_real: -0.021722 Loss_D_fake -0.002111
[1268/5000][285/535][130820] Loss_D: -0.020118 Loss_G: 0.016471 Loss_D_real: -0.011286 Loss_D_fake 0.008832
[1268/5000][290/535][130821] Loss_D: -0.018712 Loss_G: -0.010689 Loss_D_real: -0.009238 Loss_D_fake 0.009474
[1268/5000][295/535][130822] Loss_D: -0.020940 Loss_G: 0.010353 Loss_D_real: -0.014369 Loss_D_fake 0.006571
[1268/5000][300/535][130823] Loss_D: -0.019702 Loss_G: 0.019533 Loss_D_real: -0.028477 Loss_D_fake -0.008775
[1268/5000][305/535][130824] Loss_D: -0.021116 Loss_G: -0.000447 Loss_D_real: -0.015852 Loss_D_fake 0.005264
[1268/5000][310/535][130825] Loss_D: -0.018937 Loss_G: 0.017488 Loss_D_real: -0.022658 Loss_D_fake -0.003721
[1268/5000][315/535][130826] Loss_D: -0.019913 Loss_G: 0.002147 Loss_D_real: -0.016830 Loss_D_fake 0.003083
[1268/5000][320/535][130827] Loss_D: -0.021695 Loss_G: 0.015378 Loss_D_real: -0.019425 Loss_D_fake 0.002270
[1268/5000][325/535][130828] Loss_D: -0.019961 Loss_G: 0.022388 Loss_D_real: -0.023903 Loss_D_fake -0.003943
[1268/5000][330/535][130829] Loss_D: -0.020593 Loss_G: 0.009643 Loss_D_real: -0.016643 Loss_D_fake 0.003950
[1268/5000][335/535][130830] Loss_D: -0.019936 Loss_G: 0.001590 Loss_D_real: -0.033561 Loss_D_fake -0.013626
[1268/5000][340/535][130831] Loss_D: -0.019879 Loss_G: -0.011270 Loss_D_real: -0.003111 Loss_D_fake 0.016768
[1268/5000][345/535][130832] Loss_D: -0.021071 Loss_G: -0.001322 Loss_D_real: -0.011255 Loss_D_fake 0.009815
[1268/5000][350/535][130833] Loss_D: -0.020256 Loss_G: -0.009725 Loss_D_real: -0.000897 Loss_D_fake 0.019359
[1268/5000][355/535][130834] Loss_D: -0.020745 Loss_G: 0.000279 Loss_D_real: -0.007694 Loss_D_fake 0.013050
[1268/5000][360/535][130835] Loss_D: -0.020418 Loss_G: 0.022109 Loss_D_real: -0.027049 Loss_D_fake -0.006631
[1268/5000][365/535][130836] Loss_D: -0.019855 Loss_G: -0.002199 Loss_D_real: -0.001842 Loss_D_fake 0.018013
[1268/5000][370/535][130837] Loss_D: -0.020439 Loss_G: 0.019774 Loss_D_real: -0.011632 Loss_D_fake 0.008808
[1268/5000][375/535][130838] Loss_D: -0.019908 Loss_G: 0.014837 Loss_D_real: -0.025844 Loss_D_fake -0.005936
[1268/5000][380/535][130839] Loss_D: -0.018942 Loss_G: -0.016852 Loss_D_real: -0.007074 Loss_D_fake 0.011868
[1268/5000][385/535][130840] Loss_D: -0.019274 Loss_G: 0.023174 Loss_D_real: -0.021020 Loss_D_fake -0.001747
[1268/5000][390/535][130841] Loss_D: -0.019923 Loss_G: 0.012077 Loss_D_real: -0.018732 Loss_D_fake 0.001191
[1268/5000][395/535][130842] Loss_D: -0.019334 Loss_G: 0.000300 Loss_D_real: -0.020747 Loss_D_fake -0.001413
[1268/5000][400/535][130843] Loss_D: -0.020484 Loss_G: 0.005609 Loss_D_real: -0.008776 Loss_D_fake 0.011708
[1268/5000][405/535][130844] Loss_D: -0.020421 Loss_G: 0.002170 Loss_D_real: -0.005117 Loss_D_fake 0.015304
[1268/5000][410/535][130845] Loss_D: -0.020924 Loss_G: -0.002975 Loss_D_real: -0.019029 Loss_D_fake 0.001895
[1268/5000][415/535][130846] Loss_D: -0.019910 Loss_G: -0.011606 Loss_D_real: -0.018085 Loss_D_fake 0.001826
[1268/5000][420/535][130847] Loss_D: -0.018304 Loss_G: 0.019831 Loss_D_real: -0.025065 Loss_D_fake -0.006761
[1268/5000][425/535][130848] Loss_D: -0.020546 Loss_G: 0.008959 Loss_D_real: -0.015260 Loss_D_fake 0.005286
[1268/5000][430/535][130849] Loss_D: -0.018540 Loss_G: -0.009999 Loss_D_real: 0.006606 Loss_D_fake 0.025146
[1268/5000][435/535][130850] Loss_D: -0.020638 Loss_G: -0.015331 Loss_D_real: -0.002634 Loss_D_fake 0.018004
[1268/5000][440/535][130851] Loss_D: -0.020175 Loss_G: 0.010899 Loss_D_real: -0.031139 Loss_D_fake -0.010964
[1268/5000][445/535][130852] Loss_D: -0.020681 Loss_G: 0.005432 Loss_D_real: -0.006005 Loss_D_fake 0.014675
[1268/5000][450/535][130853] Loss_D: -0.019534 Loss_G: 0.020348 Loss_D_real: -0.025096 Loss_D_fake -0.005562
[1268/5000][455/535][130854] Loss_D: -0.019969 Loss_G: 0.011976 Loss_D_real: -0.018744 Loss_D_fake 0.001224
[1268/5000][460/535][130855] Loss_D: -0.021245 Loss_G: 0.011205 Loss_D_real: -0.019218 Loss_D_fake 0.002027
[1268/5000][465/535][130856] Loss_D: -0.019213 Loss_G: 0.005373 Loss_D_real: -0.016488 Loss_D_fake 0.002725
[1268/5000][470/535][130857] Loss_D: -0.020196 Loss_G: 0.013589 Loss_D_real: -0.014370 Loss_D_fake 0.005826
[1268/5000][475/535][130858] Loss_D: -0.019245 Loss_G: 0.010167 Loss_D_real: -0.026092 Loss_D_fake -0.006847
[1268/5000][480/535][130859] Loss_D: -0.019375 Loss_G: 0.010986 Loss_D_real: -0.018846 Loss_D_fake 0.000529
[1268/5000][485/535][130860] Loss_D: -0.019688 Loss_G: 0.019341 Loss_D_real: -0.022491 Loss_D_fake -0.002804
[1268/5000][490/535][130861] Loss_D: -0.020623 Loss_G: -0.007679 Loss_D_real: -0.009726 Loss_D_fake 0.010896
[1268/5000][495/535][130862] Loss_D: -0.019335 Loss_G: 0.024714 Loss_D_real: -0.025248 Loss_D_fake -0.005913
[1268/5000][500/535][130863] Loss_D: -0.019363 Loss_G: -0.015275 Loss_D_real: -0.004602 Loss_D_fake 0.014761
[1268/5000][505/535][130864] Loss_D: -0.019306 Loss_G: 0.011664 Loss_D_real: -0.031966 Loss_D_fake -0.012660
[1268/5000][510/535][130865] Loss_D: -0.020047 Loss_G: -0.007938 Loss_D_real: -0.010637 Loss_D_fake 0.009409
[1268/5000][515/535][130866] Loss_D: -0.019750 Loss_G: 0.012021 Loss_D_real: -0.026450 Loss_D_fake -0.006701
[1268/5000][520/535][130867] Loss_D: -0.020722 Loss_G: -0.004545 Loss_D_real: -0.000102 Loss_D_fake 0.020620
[1268/5000][525/535][130868] Loss_D: -0.019282 Loss_G: 0.002939 Loss_D_real: -0.026280 Loss_D_fake -0.006998
[1268/5000][530/535][130869] Loss_D: -0.021176 Loss_G: 0.019287 Loss_D_real: -0.020919 Loss_D_fake 0.000257
[1268/5000][535/535][130870] Loss_D: -0.020677 Loss_G: 0.026645 Loss_D_real: -0.015924 Loss_D_fake 0.004753
[1269/5000][5/535][130871] Loss_D: -0.021093 Loss_G: 0.018677 Loss_D_real: -0.015059 Loss_D_fake 0.006034
[1269/5000][10/535][130872] Loss_D: -0.021325 Loss_G: 0.009455 Loss_D_real: -0.026372 Loss_D_fake -0.005047
[1269/5000][15/535][130873] Loss_D: -0.020525 Loss_G: 0.018787 Loss_D_real: -0.034292 Loss_D_fake -0.013767
[1269/5000][20/535][130874] Loss_D: -0.021011 Loss_G: 0.010090 Loss_D_real: -0.020892 Loss_D_fake 0.000119
[1269/5000][25/535][130875] Loss_D: -0.021316 Loss_G: 0.006645 Loss_D_real: -0.024006 Loss_D_fake -0.002690
[1269/5000][30/535][130876] Loss_D: -0.020274 Loss_G: 0.004668 Loss_D_real: -0.010779 Loss_D_fake 0.009494
[1269/5000][35/535][130877] Loss_D: -0.020571 Loss_G: -0.011181 Loss_D_real: -0.003249 Loss_D_fake 0.017322
[1269/5000][40/535][130878] Loss_D: -0.018654 Loss_G: -0.014690 Loss_D_real: -0.001414 Loss_D_fake 0.017240
[1269/5000][45/535][130879] Loss_D: -0.019639 Loss_G: -0.007412 Loss_D_real: -0.002970 Loss_D_fake 0.016669
[1269/5000][50/535][130880] Loss_D: -0.019272 Loss_G: 0.011059 Loss_D_real: -0.019099 Loss_D_fake 0.000174
[1269/5000][55/535][130881] Loss_D: -0.020138 Loss_G: -0.003021 Loss_D_real: 0.008947 Loss_D_fake 0.029084
[1269/5000][60/535][130882] Loss_D: -0.018892 Loss_G: -0.004352 Loss_D_real: -0.011685 Loss_D_fake 0.007208
[1269/5000][65/535][130883] Loss_D: -0.019927 Loss_G: 0.008209 Loss_D_real: -0.021569 Loss_D_fake -0.001642
[1269/5000][70/535][130884] Loss_D: -0.019541 Loss_G: -0.002973 Loss_D_real: -0.007688 Loss_D_fake 0.011853
[1269/5000][75/535][130885] Loss_D: -0.021328 Loss_G: 0.009049 Loss_D_real: -0.004880 Loss_D_fake 0.016448
[1269/5000][80/535][130886] Loss_D: -0.018045 Loss_G: 0.007575 Loss_D_real: -0.031380 Loss_D_fake -0.013336
[1269/5000][85/535][130887] Loss_D: -0.018967 Loss_G: 0.019715 Loss_D_real: -0.020772 Loss_D_fake -0.001805
[1269/5000][90/535][130888] Loss_D: -0.019739 Loss_G: -0.003598 Loss_D_real: -0.013678 Loss_D_fake 0.006061
[1269/5000][95/535][130889] Loss_D: -0.019500 Loss_G: -0.003613 Loss_D_real: -0.022647 Loss_D_fake -0.003147
[1269/5000][100/535][130890] Loss_D: -0.019765 Loss_G: 0.015235 Loss_D_real: -0.015867 Loss_D_fake 0.003899
[1269/5000][105/535][130891] Loss_D: -0.021542 Loss_G: 0.012018 Loss_D_real: -0.018805 Loss_D_fake 0.002737
[1269/5000][110/535][130892] Loss_D: -0.020548 Loss_G: 0.014292 Loss_D_real: -0.012906 Loss_D_fake 0.007642
[1269/5000][115/535][130893] Loss_D: -0.020660 Loss_G: 0.020496 Loss_D_real: -0.031810 Loss_D_fake -0.011149
[1269/5000][120/535][130894] Loss_D: -0.020472 Loss_G: 0.015041 Loss_D_real: -0.026269 Loss_D_fake -0.005798
[1269/5000][125/535][130895] Loss_D: -0.018726 Loss_G: 0.021859 Loss_D_real: -0.039483 Loss_D_fake -0.020757
[1269/5000][130/535][130896] Loss_D: -0.021097 Loss_G: 0.007498 Loss_D_real: -0.019800 Loss_D_fake 0.001296
[1269/5000][135/535][130897] Loss_D: -0.020689 Loss_G: -0.002517 Loss_D_real: -0.024636 Loss_D_fake -0.003946
[1269/5000][140/535][130898] Loss_D: -0.021154 Loss_G: 0.000160 Loss_D_real: -0.004494 Loss_D_fake 0.016659
[1269/5000][145/535][130899] Loss_D: -0.020253 Loss_G: 0.012461 Loss_D_real: -0.032347 Loss_D_fake -0.012095
[1269/5000][150/535][130900] Loss_D: -0.019899 Loss_G: -0.002194 Loss_D_real: -0.012567 Loss_D_fake 0.007331
[1269/5000][155/535][130901] Loss_D: -0.019283 Loss_G: 0.016498 Loss_D_real: -0.025307 Loss_D_fake -0.006024
[1269/5000][160/535][130902] Loss_D: -0.019648 Loss_G: 0.000524 Loss_D_real: -0.030075 Loss_D_fake -0.010426
[1269/5000][165/535][130903] Loss_D: -0.020318 Loss_G: 0.001992 Loss_D_real: -0.018507 Loss_D_fake 0.001810
[1269/5000][170/535][130904] Loss_D: -0.020277 Loss_G: -0.004842 Loss_D_real: -0.012372 Loss_D_fake 0.007905
[1269/5000][175/535][130905] Loss_D: -0.020006 Loss_G: 0.011513 Loss_D_real: -0.014564 Loss_D_fake 0.005442
[1269/5000][180/535][130906] Loss_D: -0.018087 Loss_G: 0.024678 Loss_D_real: -0.035596 Loss_D_fake -0.017509
[1269/5000][185/535][130907] Loss_D: -0.019705 Loss_G: -0.002874 Loss_D_real: -0.012976 Loss_D_fake 0.006729
[1269/5000][190/535][130908] Loss_D: -0.020081 Loss_G: -0.006114 Loss_D_real: -0.017457 Loss_D_fake 0.002624
[1269/5000][195/535][130909] Loss_D: -0.020157 Loss_G: 0.005423 Loss_D_real: -0.002842 Loss_D_fake 0.017315
[1269/5000][200/535][130910] Loss_D: -0.019706 Loss_G: 0.016375 Loss_D_real: -0.027551 Loss_D_fake -0.007845
[1269/5000][205/535][130911] Loss_D: -0.021301 Loss_G: -0.003257 Loss_D_real: 0.000782 Loss_D_fake 0.022083
[1269/5000][210/535][130912] Loss_D: -0.020759 Loss_G: 0.014798 Loss_D_real: -0.013711 Loss_D_fake 0.007048
[1269/5000][215/535][130913] Loss_D: -0.021651 Loss_G: 0.012854 Loss_D_real: -0.016480 Loss_D_fake 0.005171
[1269/5000][220/535][130914] Loss_D: -0.021684 Loss_G: 0.013114 Loss_D_real: -0.026980 Loss_D_fake -0.005296
[1269/5000][225/535][130915] Loss_D: -0.021042 Loss_G: 0.009390 Loss_D_real: -0.017134 Loss_D_fake 0.003908
[1269/5000][230/535][130916] Loss_D: -0.020693 Loss_G: 0.003395 Loss_D_real: -0.017438 Loss_D_fake 0.003255
[1269/5000][235/535][130917] Loss_D: -0.018473 Loss_G: 0.023248 Loss_D_real: -0.022889 Loss_D_fake -0.004416
[1269/5000][240/535][130918] Loss_D: -0.018842 Loss_G: -0.002608 Loss_D_real: -0.018000 Loss_D_fake 0.000842
[1269/5000][245/535][130919] Loss_D: -0.019189 Loss_G: -0.004113 Loss_D_real: -0.009161 Loss_D_fake 0.010028
[1269/5000][250/535][130920] Loss_D: -0.020001 Loss_G: 0.001587 Loss_D_real: -0.007814 Loss_D_fake 0.012188
[1269/5000][255/535][130921] Loss_D: -0.018458 Loss_G: 0.022047 Loss_D_real: -0.028251 Loss_D_fake -0.009793
[1269/5000][260/535][130922] Loss_D: -0.019842 Loss_G: 0.020739 Loss_D_real: -0.025384 Loss_D_fake -0.005543
[1269/5000][265/535][130923] Loss_D: -0.019325 Loss_G: -0.007705 Loss_D_real: -0.023093 Loss_D_fake -0.003769
[1269/5000][270/535][130924] Loss_D: -0.020412 Loss_G: 0.004123 Loss_D_real: -0.020692 Loss_D_fake -0.000280
[1269/5000][275/535][130925] Loss_D: -0.019491 Loss_G: -0.001591 Loss_D_real: -0.013423 Loss_D_fake 0.006067
[1269/5000][280/535][130926] Loss_D: -0.019916 Loss_G: 0.013059 Loss_D_real: -0.030829 Loss_D_fake -0.010913
[1269/5000][285/535][130927] Loss_D: -0.020785 Loss_G: 0.008032 Loss_D_real: -0.015556 Loss_D_fake 0.005229
[1269/5000][290/535][130928] Loss_D: -0.021807 Loss_G: 0.009154 Loss_D_real: -0.014195 Loss_D_fake 0.007612
[1269/5000][295/535][130929] Loss_D: -0.021720 Loss_G: 0.018142 Loss_D_real: -0.006377 Loss_D_fake 0.015344
[1269/5000][300/535][130930] Loss_D: -0.020882 Loss_G: -0.017444 Loss_D_real: -0.001882 Loss_D_fake 0.019000
[1269/5000][305/535][130931] Loss_D: -0.019697 Loss_G: 0.021846 Loss_D_real: -0.022354 Loss_D_fake -0.002657
[1269/5000][310/535][130932] Loss_D: -0.019162 Loss_G: 0.021741 Loss_D_real: -0.030242 Loss_D_fake -0.011080
[1269/5000][315/535][130933] Loss_D: -0.019461 Loss_G: 0.024998 Loss_D_real: -0.034948 Loss_D_fake -0.015488
[1269/5000][320/535][130934] Loss_D: -0.019411 Loss_G: 0.025832 Loss_D_real: -0.025912 Loss_D_fake -0.006502
[1269/5000][325/535][130935] Loss_D: -0.019572 Loss_G: -0.000763 Loss_D_real: -0.007782 Loss_D_fake 0.011791
[1269/5000][330/535][130936] Loss_D: -0.019750 Loss_G: 0.005199 Loss_D_real: -0.022044 Loss_D_fake -0.002294
[1269/5000][335/535][130937] Loss_D: -0.019975 Loss_G: -0.012404 Loss_D_real: -0.012391 Loss_D_fake 0.007584
[1269/5000][340/535][130938] Loss_D: -0.019995 Loss_G: 0.007225 Loss_D_real: -0.005683 Loss_D_fake 0.014311
[1269/5000][345/535][130939] Loss_D: -0.019520 Loss_G: -0.013088 Loss_D_real: -0.004779 Loss_D_fake 0.014741
[1269/5000][350/535][130940] Loss_D: -0.020014 Loss_G: 0.005128 Loss_D_real: -0.016280 Loss_D_fake 0.003733
[1269/5000][355/535][130941] Loss_D: -0.021060 Loss_G: 0.013104 Loss_D_real: -0.011680 Loss_D_fake 0.009380
[1269/5000][360/535][130942] Loss_D: -0.020105 Loss_G: -0.010004 Loss_D_real: -0.006202 Loss_D_fake 0.013902
[1269/5000][365/535][130943] Loss_D: -0.019852 Loss_G: 0.015461 Loss_D_real: -0.022009 Loss_D_fake -0.002158
[1269/5000][370/535][130944] Loss_D: -0.019378 Loss_G: 0.021811 Loss_D_real: -0.027302 Loss_D_fake -0.007924
[1269/5000][375/535][130945] Loss_D: -0.018974 Loss_G: 0.002051 Loss_D_real: -0.014429 Loss_D_fake 0.004545
[1269/5000][380/535][130946] Loss_D: -0.020917 Loss_G: 0.008666 Loss_D_real: -0.018572 Loss_D_fake 0.002345
[1269/5000][385/535][130947] Loss_D: -0.019129 Loss_G: -0.010335 Loss_D_real: -0.002166 Loss_D_fake 0.016963
[1269/5000][390/535][130948] Loss_D: -0.019505 Loss_G: 0.031950 Loss_D_real: -0.028174 Loss_D_fake -0.008669
[1269/5000][395/535][130949] Loss_D: -0.019685 Loss_G: 0.004120 Loss_D_real: -0.014290 Loss_D_fake 0.005396
[1269/5000][400/535][130950] Loss_D: -0.020220 Loss_G: 0.015367 Loss_D_real: -0.007066 Loss_D_fake 0.013154
[1269/5000][405/535][130951] Loss_D: -0.020892 Loss_G: -0.007892 Loss_D_real: -0.018433 Loss_D_fake 0.002458
[1269/5000][410/535][130952] Loss_D: -0.020214 Loss_G: 0.015677 Loss_D_real: -0.030183 Loss_D_fake -0.009969
[1269/5000][415/535][130953] Loss_D: -0.019538 Loss_G: -0.007771 Loss_D_real: -0.004249 Loss_D_fake 0.015289
[1269/5000][420/535][130954] Loss_D: -0.019505 Loss_G: -0.007248 Loss_D_real: -0.014377 Loss_D_fake 0.005129
[1269/5000][425/535][130955] Loss_D: -0.020553 Loss_G: 0.020456 Loss_D_real: -0.012958 Loss_D_fake 0.007595
[1269/5000][430/535][130956] Loss_D: -0.020011 Loss_G: 0.011639 Loss_D_real: -0.016653 Loss_D_fake 0.003358
[1269/5000][435/535][130957] Loss_D: -0.019451 Loss_G: 0.014441 Loss_D_real: -0.023845 Loss_D_fake -0.004394
[1269/5000][440/535][130958] Loss_D: -0.019641 Loss_G: 0.026323 Loss_D_real: -0.028394 Loss_D_fake -0.008752
[1269/5000][445/535][130959] Loss_D: -0.021027 Loss_G: 0.000414 Loss_D_real: -0.013813 Loss_D_fake 0.007214
[1269/5000][450/535][130960] Loss_D: -0.021100 Loss_G: -0.008640 Loss_D_real: -0.008961 Loss_D_fake 0.012139
[1269/5000][455/535][130961] Loss_D: -0.021019 Loss_G: 0.007355 Loss_D_real: -0.013838 Loss_D_fake 0.007181
[1269/5000][460/535][130962] Loss_D: -0.019462 Loss_G: -0.006052 Loss_D_real: -0.008894 Loss_D_fake 0.010568
[1269/5000][465/535][130963] Loss_D: -0.021158 Loss_G: 0.015357 Loss_D_real: -0.026978 Loss_D_fake -0.005820
[1269/5000][470/535][130964] Loss_D: -0.018539 Loss_G: 0.016552 Loss_D_real: -0.021821 Loss_D_fake -0.003281
[1269/5000][475/535][130965] Loss_D: -0.021099 Loss_G: -0.000110 Loss_D_real: -0.013173 Loss_D_fake 0.007926
[1269/5000][480/535][130966] Loss_D: -0.019593 Loss_G: 0.017757 Loss_D_real: -0.021225 Loss_D_fake -0.001632
[1269/5000][485/535][130967] Loss_D: -0.019196 Loss_G: 0.020577 Loss_D_real: -0.033312 Loss_D_fake -0.014116
[1269/5000][490/535][130968] Loss_D: -0.020582 Loss_G: 0.013892 Loss_D_real: -0.016947 Loss_D_fake 0.003635
[1269/5000][495/535][130969] Loss_D: -0.019515 Loss_G: 0.010093 Loss_D_real: -0.018223 Loss_D_fake 0.001292
[1269/5000][500/535][130970] Loss_D: -0.019283 Loss_G: 0.015843 Loss_D_real: -0.016607 Loss_D_fake 0.002676
[1269/5000][505/535][130971] Loss_D: -0.020242 Loss_G: 0.014192 Loss_D_real: -0.024013 Loss_D_fake -0.003771
[1269/5000][510/535][130972] Loss_D: -0.020630 Loss_G: 0.006242 Loss_D_real: -0.017675 Loss_D_fake 0.002955
[1269/5000][515/535][130973] Loss_D: -0.019094 Loss_G: 0.005441 Loss_D_real: -0.022732 Loss_D_fake -0.003638
[1269/5000][520/535][130974] Loss_D: -0.019458 Loss_G: -0.010512 Loss_D_real: 0.001546 Loss_D_fake 0.021004
[1269/5000][525/535][130975] Loss_D: -0.020135 Loss_G: -0.008876 Loss_D_real: -0.002594 Loss_D_fake 0.017542
[1269/5000][530/535][130976] Loss_D: -0.019683 Loss_G: 0.005700 Loss_D_real: -0.016657 Loss_D_fake 0.003026
[1269/5000][535/535][130977] Loss_D: -0.018523 Loss_G: -0.011263 Loss_D_real: -0.002462 Loss_D_fake 0.016062
[1270/5000][5/535][130978] Loss_D: -0.018692 Loss_G: 0.001733 Loss_D_real: -0.003705 Loss_D_fake 0.014987
[1270/5000][10/535][130979] Loss_D: -0.018378 Loss_G: 0.016907 Loss_D_real: -0.028004 Loss_D_fake -0.009626
[1270/5000][15/535][130980] Loss_D: -0.018816 Loss_G: -0.013900 Loss_D_real: -0.006073 Loss_D_fake 0.012744
[1270/5000][20/535][130981] Loss_D: -0.021459 Loss_G: 0.028162 Loss_D_real: -0.026927 Loss_D_fake -0.005468
[1270/5000][25/535][130982] Loss_D: -0.020465 Loss_G: -0.005987 Loss_D_real: -0.017018 Loss_D_fake 0.003447
[1270/5000][30/535][130983] Loss_D: -0.020721 Loss_G: 0.009458 Loss_D_real: -0.014159 Loss_D_fake 0.006562
[1270/5000][35/535][130984] Loss_D: -0.021102 Loss_G: 0.016873 Loss_D_real: -0.020553 Loss_D_fake 0.000548
[1270/5000][40/535][130985] Loss_D: -0.020831 Loss_G: -0.006978 Loss_D_real: -0.005937 Loss_D_fake 0.014894
[1270/5000][45/535][130986] Loss_D: -0.019052 Loss_G: 0.025638 Loss_D_real: -0.022105 Loss_D_fake -0.003054
[1270/5000][50/535][130987] Loss_D: -0.020448 Loss_G: 0.020418 Loss_D_real: -0.020562 Loss_D_fake -0.000115
[1270/5000][55/535][130988] Loss_D: -0.019966 Loss_G: -0.003885 Loss_D_real: -0.018198 Loss_D_fake 0.001769
[1270/5000][60/535][130989] Loss_D: -0.019431 Loss_G: 0.022009 Loss_D_real: -0.031419 Loss_D_fake -0.011988
[1270/5000][65/535][130990] Loss_D: -0.019482 Loss_G: -0.014974 Loss_D_real: -0.007139 Loss_D_fake 0.012343
[1270/5000][70/535][130991] Loss_D: -0.020493 Loss_G: -0.006114 Loss_D_real: -0.021857 Loss_D_fake -0.001364
[1270/5000][75/535][130992] Loss_D: -0.019855 Loss_G: 0.006633 Loss_D_real: -0.004943 Loss_D_fake 0.014912
[1270/5000][80/535][130993] Loss_D: -0.019328 Loss_G: 0.005043 Loss_D_real: -0.005931 Loss_D_fake 0.013397
[1270/5000][85/535][130994] Loss_D: -0.019276 Loss_G: 0.023352 Loss_D_real: -0.020114 Loss_D_fake -0.000837
[1270/5000][90/535][130995] Loss_D: -0.019822 Loss_G: 0.025093 Loss_D_real: -0.018116 Loss_D_fake 0.001706
[1270/5000][95/535][130996] Loss_D: -0.020397 Loss_G: 0.002506 Loss_D_real: -0.021376 Loss_D_fake -0.000980
[1270/5000][100/535][130997] Loss_D: -0.019181 Loss_G: -0.021349 Loss_D_real: 0.003805 Loss_D_fake 0.022986
[1270/5000][105/535][130998] Loss_D: -0.019620 Loss_G: 0.033186 Loss_D_real: -0.024870 Loss_D_fake -0.005249
[1270/5000][110/535][130999] Loss_D: -0.018458 Loss_G: -0.010719 Loss_D_real: -0.000910 Loss_D_fake 0.017549
[1270/5000][115/535][131000] Loss_D: -0.018767 Loss_G: 0.016114 Loss_D_real: -0.032380 Loss_D_fake -0.013613
[1270/5000][215/535][131001] Loss_D: -0.021876 Loss_G: 0.005659 Loss_D_real: -0.026622 Loss_D_fake -0.004746
[1270/5000][220/535][131002] Loss_D: -0.023075 Loss_G: -0.009596 Loss_D_real: -0.008320 Loss_D_fake 0.014756
[1270/5000][225/535][131003] Loss_D: -0.018412 Loss_G: 0.003502 Loss_D_real: -0.009398 Loss_D_fake 0.009014
[1270/5000][230/535][131004] Loss_D: -0.018298 Loss_G: 0.011691 Loss_D_real: -0.024423 Loss_D_fake -0.006125
[1270/5000][235/535][131005] Loss_D: -0.018437 Loss_G: -0.000258 Loss_D_real: -0.004068 Loss_D_fake 0.014369
[1270/5000][240/535][131006] Loss_D: -0.019079 Loss_G: 0.006996 Loss_D_real: -0.020881 Loss_D_fake -0.001802
[1270/5000][245/535][131007] Loss_D: -0.020637 Loss_G: 0.018310 Loss_D_real: -0.024468 Loss_D_fake -0.003831
[1270/5000][250/535][131008] Loss_D: -0.020348 Loss_G: -0.022643 Loss_D_real: -0.004483 Loss_D_fake 0.015865
[1270/5000][255/535][131009] Loss_D: -0.017958 Loss_G: -0.010697 Loss_D_real: -0.008945 Loss_D_fake 0.009013
[1270/5000][260/535][131010] Loss_D: -0.019461 Loss_G: -0.005085 Loss_D_real: 0.004262 Loss_D_fake 0.023722
[1270/5000][265/535][131011] Loss_D: -0.018669 Loss_G: 0.027233 Loss_D_real: -0.014433 Loss_D_fake 0.004236
[1270/5000][270/535][131012] Loss_D: -0.018635 Loss_G: 0.006198 Loss_D_real: -0.008332 Loss_D_fake 0.010303
[1270/5000][275/535][131013] Loss_D: -0.019466 Loss_G: -0.006420 Loss_D_real: -0.009893 Loss_D_fake 0.009573
[1270/5000][280/535][131014] Loss_D: -0.021206 Loss_G: 0.015902 Loss_D_real: -0.018949 Loss_D_fake 0.002256
[1270/5000][285/535][131015] Loss_D: -0.021189 Loss_G: 0.007154 Loss_D_real: -0.010858 Loss_D_fake 0.010331
[1270/5000][290/535][131016] Loss_D: -0.020705 Loss_G: 0.011142 Loss_D_real: -0.028956 Loss_D_fake -0.008251
[1270/5000][295/535][131017] Loss_D: -0.020270 Loss_G: -0.019988 Loss_D_real: 0.001788 Loss_D_fake 0.022058
[1270/5000][300/535][131018] Loss_D: -0.019416 Loss_G: 0.013964 Loss_D_real: -0.025104 Loss_D_fake -0.005688
[1270/5000][305/535][131019] Loss_D: -0.019743 Loss_G: -0.007770 Loss_D_real: -0.010856 Loss_D_fake 0.008887
[1270/5000][310/535][131020] Loss_D: -0.020660 Loss_G: 0.011064 Loss_D_real: -0.026066 Loss_D_fake -0.005406
[1270/5000][315/535][131021] Loss_D: -0.019360 Loss_G: -0.008743 Loss_D_real: -0.009112 Loss_D_fake 0.010248
[1270/5000][320/535][131022] Loss_D: -0.018709 Loss_G: 0.022358 Loss_D_real: -0.018628 Loss_D_fake 0.000082
[1270/5000][325/535][131023] Loss_D: -0.019847 Loss_G: -0.001761 Loss_D_real: -0.007463 Loss_D_fake 0.012384
[1270/5000][330/535][131024] Loss_D: -0.019679 Loss_G: 0.009007 Loss_D_real: -0.022327 Loss_D_fake -0.002648
[1270/5000][335/535][131025] Loss_D: -0.020245 Loss_G: 0.006095 Loss_D_real: -0.011621 Loss_D_fake 0.008624
[1270/5000][340/535][131026] Loss_D: -0.020232 Loss_G: 0.006972 Loss_D_real: -0.023205 Loss_D_fake -0.002973
[1270/5000][345/535][131027] Loss_D: -0.018918 Loss_G: -0.005393 Loss_D_real: -0.003056 Loss_D_fake 0.015862
[1270/5000][350/535][131028] Loss_D: -0.019266 Loss_G: -0.002567 Loss_D_real: -0.011252 Loss_D_fake 0.008015
[1270/5000][355/535][131029] Loss_D: -0.019298 Loss_G: 0.027104 Loss_D_real: -0.025254 Loss_D_fake -0.005956
[1270/5000][360/535][131030] Loss_D: -0.019827 Loss_G: 0.019597 Loss_D_real: -0.017665 Loss_D_fake 0.002162
[1270/5000][365/535][131031] Loss_D: -0.020513 Loss_G: -0.007955 Loss_D_real: -0.011133 Loss_D_fake 0.009380
[1270/5000][370/535][131032] Loss_D: -0.020825 Loss_G: -0.005173 Loss_D_real: -0.014311 Loss_D_fake 0.006514
[1270/5000][375/535][131033] Loss_D: -0.019896 Loss_G: -0.004019 Loss_D_real: 0.000947 Loss_D_fake 0.020843
[1270/5000][380/535][131034] Loss_D: -0.020166 Loss_G: 0.015455 Loss_D_real: -0.020808 Loss_D_fake -0.000642
[1270/5000][385/535][131035] Loss_D: -0.020558 Loss_G: 0.008480 Loss_D_real: -0.005665 Loss_D_fake 0.014893
[1270/5000][390/535][131036] Loss_D: -0.020525 Loss_G: 0.004894 Loss_D_real: -0.026378 Loss_D_fake -0.005852
[1270/5000][395/535][131037] Loss_D: -0.021071 Loss_G: -0.007024 Loss_D_real: -0.003105 Loss_D_fake 0.017966
[1270/5000][400/535][131038] Loss_D: -0.019347 Loss_G: 0.014289 Loss_D_real: -0.019165 Loss_D_fake 0.000182
[1270/5000][405/535][131039] Loss_D: -0.019618 Loss_G: -0.015875 Loss_D_real: -0.012319 Loss_D_fake 0.007299
[1270/5000][410/535][131040] Loss_D: -0.020826 Loss_G: -0.000808 Loss_D_real: -0.008988 Loss_D_fake 0.011838
[1270/5000][415/535][131041] Loss_D: -0.019536 Loss_G: 0.015912 Loss_D_real: -0.029050 Loss_D_fake -0.009514
[1270/5000][420/535][131042] Loss_D: -0.020386 Loss_G: -0.002846 Loss_D_real: -0.007839 Loss_D_fake 0.012546
[1270/5000][425/535][131043] Loss_D: -0.020046 Loss_G: 0.013025 Loss_D_real: -0.020472 Loss_D_fake -0.000425
[1270/5000][430/535][131044] Loss_D: -0.019188 Loss_G: -0.015850 Loss_D_real: 0.007590 Loss_D_fake 0.026778
[1270/5000][435/535][131045] Loss_D: -0.019545 Loss_G: 0.008515 Loss_D_real: -0.006561 Loss_D_fake 0.012984
[1270/5000][440/535][131046] Loss_D: -0.018938 Loss_G: 0.011757 Loss_D_real: -0.024890 Loss_D_fake -0.005952
[1270/5000][445/535][131047] Loss_D: -0.019822 Loss_G: 0.016494 Loss_D_real: -0.022435 Loss_D_fake -0.002613
[1270/5000][450/535][131048] Loss_D: -0.020766 Loss_G: 0.004567 Loss_D_real: -0.025473 Loss_D_fake -0.004707
[1270/5000][455/535][131049] Loss_D: -0.020818 Loss_G: 0.011680 Loss_D_real: -0.014101 Loss_D_fake 0.006718
[1270/5000][460/535][131050] Loss_D: -0.019698 Loss_G: -0.007410 Loss_D_real: -0.008580 Loss_D_fake 0.011118
[1270/5000][465/535][131051] Loss_D: -0.019725 Loss_G: 0.013731 Loss_D_real: -0.023456 Loss_D_fake -0.003731
[1270/5000][470/535][131052] Loss_D: -0.020647 Loss_G: -0.008370 Loss_D_real: -0.006114 Loss_D_fake 0.014533
[1270/5000][475/535][131053] Loss_D: -0.021149 Loss_G: -0.001846 Loss_D_real: -0.004778 Loss_D_fake 0.016371
[1270/5000][480/535][131054] Loss_D: -0.020221 Loss_G: -0.000313 Loss_D_real: -0.003204 Loss_D_fake 0.017017
[1270/5000][485/535][131055] Loss_D: -0.020259 Loss_G: 0.021524 Loss_D_real: -0.039907 Loss_D_fake -0.019648
[1270/5000][490/535][131056] Loss_D: -0.020356 Loss_G: 0.009544 Loss_D_real: -0.023458 Loss_D_fake -0.003102
[1270/5000][495/535][131057] Loss_D: -0.019875 Loss_G: 0.018206 Loss_D_real: -0.019969 Loss_D_fake -0.000094
[1270/5000][500/535][131058] Loss_D: -0.019665 Loss_G: -0.012707 Loss_D_real: -0.002962 Loss_D_fake 0.016704
[1270/5000][505/535][131059] Loss_D: -0.020642 Loss_G: 0.016692 Loss_D_real: -0.020174 Loss_D_fake 0.000468
[1270/5000][510/535][131060] Loss_D: -0.019246 Loss_G: -0.001944 Loss_D_real: -0.009954 Loss_D_fake 0.009292
[1270/5000][515/535][131061] Loss_D: -0.020412 Loss_G: 0.012016 Loss_D_real: -0.024507 Loss_D_fake -0.004096
[1270/5000][520/535][131062] Loss_D: -0.018915 Loss_G: -0.002664 Loss_D_real: -0.009725 Loss_D_fake 0.009190
[1270/5000][525/535][131063] Loss_D: -0.018679 Loss_G: -0.011336 Loss_D_real: 0.002766 Loss_D_fake 0.021444
[1270/5000][530/535][131064] Loss_D: -0.020296 Loss_G: 0.016206 Loss_D_real: -0.021060 Loss_D_fake -0.000763
[1270/5000][535/535][131065] Loss_D: -0.022199 Loss_G: 0.019467 Loss_D_real: -0.016295 Loss_D_fake 0.005904
[1271/5000][5/535][131066] Loss_D: -0.020312 Loss_G: -0.007989 Loss_D_real: -0.001026 Loss_D_fake 0.019286
[1271/5000][10/535][131067] Loss_D: -0.018589 Loss_G: 0.021076 Loss_D_real: -0.029058 Loss_D_fake -0.010469
[1271/5000][15/535][131068] Loss_D: -0.020096 Loss_G: 0.008148 Loss_D_real: -0.019108 Loss_D_fake 0.000987
[1271/5000][20/535][131069] Loss_D: -0.019058 Loss_G: 0.002447 Loss_D_real: -0.027301 Loss_D_fake -0.008243
[1271/5000][25/535][131070] Loss_D: -0.020265 Loss_G: 0.007938 Loss_D_real: -0.021825 Loss_D_fake -0.001560
[1271/5000][30/535][131071] Loss_D: -0.019644 Loss_G: -0.008151 Loss_D_real: -0.009718 Loss_D_fake 0.009926
[1271/5000][35/535][131072] Loss_D: -0.021740 Loss_G: 0.014567 Loss_D_real: -0.014856 Loss_D_fake 0.006884
[1271/5000][40/535][131073] Loss_D: -0.020094 Loss_G: -0.001449 Loss_D_real: -0.012123 Loss_D_fake 0.007971
[1271/5000][45/535][131074] Loss_D: -0.019608 Loss_G: 0.025741 Loss_D_real: -0.021065 Loss_D_fake -0.001457
[1271/5000][50/535][131075] Loss_D: -0.020529 Loss_G: 0.022040 Loss_D_real: -0.016214 Loss_D_fake 0.004314
[1271/5000][55/535][131076] Loss_D: -0.021984 Loss_G: 0.020971 Loss_D_real: -0.012006 Loss_D_fake 0.009978
[1271/5000][60/535][131077] Loss_D: -0.020584 Loss_G: 0.014655 Loss_D_real: -0.021864 Loss_D_fake -0.001280
[1271/5000][65/535][131078] Loss_D: -0.018668 Loss_G: 0.023640 Loss_D_real: -0.030631 Loss_D_fake -0.011964
[1271/5000][70/535][131079] Loss_D: -0.019919 Loss_G: 0.007467 Loss_D_real: -0.017459 Loss_D_fake 0.002459
[1271/5000][75/535][131080] Loss_D: -0.020234 Loss_G: 0.020016 Loss_D_real: -0.014384 Loss_D_fake 0.005850
[1271/5000][80/535][131081] Loss_D: -0.020064 Loss_G: 0.005659 Loss_D_real: -0.014738 Loss_D_fake 0.005326
[1271/5000][85/535][131082] Loss_D: -0.018299 Loss_G: 0.014888 Loss_D_real: -0.032234 Loss_D_fake -0.013934
[1271/5000][90/535][131083] Loss_D: -0.020213 Loss_G: -0.002942 Loss_D_real: -0.015109 Loss_D_fake 0.005103
[1271/5000][95/535][131084] Loss_D: -0.020615 Loss_G: 0.000778 Loss_D_real: -0.025349 Loss_D_fake -0.004734
[1271/5000][100/535][131085] Loss_D: -0.020206 Loss_G: 0.017488 Loss_D_real: -0.014179 Loss_D_fake 0.006027
[1271/5000][105/535][131086] Loss_D: -0.019870 Loss_G: 0.003808 Loss_D_real: -0.024778 Loss_D_fake -0.004908
[1271/5000][110/535][131087] Loss_D: -0.018533 Loss_G: 0.028073 Loss_D_real: -0.021796 Loss_D_fake -0.003263
[1271/5000][115/535][131088] Loss_D: -0.020894 Loss_G: 0.013050 Loss_D_real: -0.019299 Loss_D_fake 0.001596
[1271/5000][120/535][131089] Loss_D: -0.020633 Loss_G: 0.000796 Loss_D_real: -0.014461 Loss_D_fake 0.006173
[1271/5000][125/535][131090] Loss_D: -0.018281 Loss_G: 0.029221 Loss_D_real: -0.032620 Loss_D_fake -0.014340
[1271/5000][130/535][131091] Loss_D: -0.019355 Loss_G: 0.008146 Loss_D_real: -0.011467 Loss_D_fake 0.007887
[1271/5000][135/535][131092] Loss_D: -0.019527 Loss_G: 0.024681 Loss_D_real: -0.020765 Loss_D_fake -0.001238
[1271/5000][140/535][131093] Loss_D: -0.020701 Loss_G: 0.001973 Loss_D_real: -0.004936 Loss_D_fake 0.015765
[1271/5000][145/535][131094] Loss_D: -0.020080 Loss_G: 0.005295 Loss_D_real: -0.023204 Loss_D_fake -0.003124
[1271/5000][150/535][131095] Loss_D: -0.019809 Loss_G: -0.001716 Loss_D_real: -0.012251 Loss_D_fake 0.007558
[1271/5000][155/535][131096] Loss_D: -0.020153 Loss_G: 0.012076 Loss_D_real: -0.031101 Loss_D_fake -0.010948
[1271/5000][160/535][131097] Loss_D: -0.019390 Loss_G: 0.015579 Loss_D_real: -0.014334 Loss_D_fake 0.005056
[1271/5000][165/535][131098] Loss_D: -0.020288 Loss_G: 0.011425 Loss_D_real: -0.014550 Loss_D_fake 0.005738
[1271/5000][170/535][131099] Loss_D: -0.018825 Loss_G: 0.006226 Loss_D_real: -0.018912 Loss_D_fake -0.000087
[1271/5000][175/535][131100] Loss_D: -0.020987 Loss_G: 0.009624 Loss_D_real: -0.014320 Loss_D_fake 0.006667
[1271/5000][180/535][131101] Loss_D: -0.020220 Loss_G: 0.002668 Loss_D_real: -0.011771 Loss_D_fake 0.008449
[1271/5000][185/535][131102] Loss_D: -0.018416 Loss_G: -0.020276 Loss_D_real: -0.002169 Loss_D_fake 0.016247
[1271/5000][190/535][131103] Loss_D: -0.018224 Loss_G: 0.031844 Loss_D_real: -0.020742 Loss_D_fake -0.002518
[1271/5000][195/535][131104] Loss_D: -0.020189 Loss_G: 0.019096 Loss_D_real: -0.015939 Loss_D_fake 0.004250
[1271/5000][200/535][131105] Loss_D: -0.017657 Loss_G: 0.022610 Loss_D_real: -0.026719 Loss_D_fake -0.009063
[1271/5000][205/535][131106] Loss_D: -0.019444 Loss_G: 0.007398 Loss_D_real: -0.016733 Loss_D_fake 0.002711
[1271/5000][210/535][131107] Loss_D: -0.020402 Loss_G: -0.004600 Loss_D_real: -0.002725 Loss_D_fake 0.017677
[1271/5000][215/535][131108] Loss_D: -0.019883 Loss_G: 0.018610 Loss_D_real: -0.020945 Loss_D_fake -0.001061
[1271/5000][220/535][131109] Loss_D: -0.018348 Loss_G: 0.009902 Loss_D_real: -0.022891 Loss_D_fake -0.004542
[1271/5000][225/535][131110] Loss_D: -0.019050 Loss_G: -0.007861 Loss_D_real: 0.002145 Loss_D_fake 0.021196
[1271/5000][230/535][131111] Loss_D: -0.019336 Loss_G: -0.013429 Loss_D_real: -0.004049 Loss_D_fake 0.015287
[1271/5000][235/535][131112] Loss_D: -0.019673 Loss_G: 0.011452 Loss_D_real: -0.019003 Loss_D_fake 0.000670
[1271/5000][240/535][131113] Loss_D: -0.020623 Loss_G: 0.013222 Loss_D_real: -0.020692 Loss_D_fake -0.000070
[1271/5000][245/535][131114] Loss_D: -0.019214 Loss_G: 0.019040 Loss_D_real: -0.017560 Loss_D_fake 0.001653
[1271/5000][250/535][131115] Loss_D: -0.019607 Loss_G: 0.006716 Loss_D_real: -0.012293 Loss_D_fake 0.007314
[1271/5000][255/535][131116] Loss_D: -0.022910 Loss_G: -0.011808 Loss_D_real: -0.025876 Loss_D_fake -0.002966
[1271/5000][260/535][131117] Loss_D: -0.019040 Loss_G: -0.013892 Loss_D_real: 0.008948 Loss_D_fake 0.027988
[1271/5000][265/535][131118] Loss_D: -0.020206 Loss_G: 0.006698 Loss_D_real: -0.024964 Loss_D_fake -0.004757
[1271/5000][270/535][131119] Loss_D: -0.019694 Loss_G: 0.032366 Loss_D_real: -0.027359 Loss_D_fake -0.007665
[1271/5000][275/535][131120] Loss_D: -0.018377 Loss_G: 0.009182 Loss_D_real: -0.022559 Loss_D_fake -0.004182
[1271/5000][280/535][131121] Loss_D: -0.019315 Loss_G: 0.021621 Loss_D_real: -0.033664 Loss_D_fake -0.014348
[1271/5000][285/535][131122] Loss_D: -0.020142 Loss_G: 0.001782 Loss_D_real: -0.006603 Loss_D_fake 0.013539
[1271/5000][290/535][131123] Loss_D: -0.019578 Loss_G: 0.018923 Loss_D_real: -0.030667 Loss_D_fake -0.011089
[1271/5000][295/535][131124] Loss_D: -0.019666 Loss_G: 0.008966 Loss_D_real: -0.027034 Loss_D_fake -0.007368
[1271/5000][300/535][131125] Loss_D: -0.020190 Loss_G: 0.008495 Loss_D_real: -0.019021 Loss_D_fake 0.001169
[1271/5000][305/535][131126] Loss_D: -0.020209 Loss_G: -0.002231 Loss_D_real: -0.023750 Loss_D_fake -0.003541
[1271/5000][310/535][131127] Loss_D: -0.019532 Loss_G: -0.010365 Loss_D_real: -0.018274 Loss_D_fake 0.001258
[1271/5000][315/535][131128] Loss_D: -0.020279 Loss_G: 0.002490 Loss_D_real: -0.023200 Loss_D_fake -0.002922
[1271/5000][320/535][131129] Loss_D: -0.019465 Loss_G: -0.005553 Loss_D_real: 0.004342 Loss_D_fake 0.023807
[1271/5000][325/535][131130] Loss_D: -0.019948 Loss_G: 0.004195 Loss_D_real: -0.015352 Loss_D_fake 0.004596
[1271/5000][330/535][131131] Loss_D: -0.021062 Loss_G: 0.007785 Loss_D_real: -0.008205 Loss_D_fake 0.012857
[1271/5000][335/535][131132] Loss_D: -0.020312 Loss_G: -0.005460 Loss_D_real: -0.001030 Loss_D_fake 0.019282
[1271/5000][340/535][131133] Loss_D: -0.019569 Loss_G: -0.016364 Loss_D_real: -0.005287 Loss_D_fake 0.014282
[1271/5000][345/535][131134] Loss_D: -0.019160 Loss_G: 0.012843 Loss_D_real: -0.023616 Loss_D_fake -0.004456
[1271/5000][350/535][131135] Loss_D: -0.020908 Loss_G: -0.002180 Loss_D_real: -0.000300 Loss_D_fake 0.020608
[1271/5000][355/535][131136] Loss_D: -0.020084 Loss_G: -0.001894 Loss_D_real: -0.010683 Loss_D_fake 0.009402
[1271/5000][360/535][131137] Loss_D: -0.019704 Loss_G: 0.008308 Loss_D_real: -0.015114 Loss_D_fake 0.004590
[1271/5000][365/535][131138] Loss_D: -0.020205 Loss_G: 0.026910 Loss_D_real: -0.020584 Loss_D_fake -0.000379
[1271/5000][370/535][131139] Loss_D: -0.021012 Loss_G: 0.003708 Loss_D_real: -0.011030 Loss_D_fake 0.009982
[1271/5000][375/535][131140] Loss_D: -0.019667 Loss_G: 0.012654 Loss_D_real: -0.025534 Loss_D_fake -0.005867
[1271/5000][380/535][131141] Loss_D: -0.020469 Loss_G: 0.010445 Loss_D_real: -0.012758 Loss_D_fake 0.007710
[1271/5000][385/535][131142] Loss_D: -0.020289 Loss_G: 0.000197 Loss_D_real: -0.025015 Loss_D_fake -0.004725
[1271/5000][390/535][131143] Loss_D: -0.020840 Loss_G: 0.022752 Loss_D_real: -0.021105 Loss_D_fake -0.000265
[1271/5000][395/535][131144] Loss_D: -0.020387 Loss_G: 0.008436 Loss_D_real: -0.019348 Loss_D_fake 0.001038
[1271/5000][400/535][131145] Loss_D: -0.020199 Loss_G: -0.005474 Loss_D_real: -0.012601 Loss_D_fake 0.007599
[1271/5000][405/535][131146] Loss_D: -0.019412 Loss_G: -0.004192 Loss_D_real: -0.018809 Loss_D_fake 0.000603
[1271/5000][410/535][131147] Loss_D: -0.019445 Loss_G: -0.009940 Loss_D_real: -0.002106 Loss_D_fake 0.017339
[1271/5000][415/535][131148] Loss_D: -0.019459 Loss_G: 0.001557 Loss_D_real: 0.005285 Loss_D_fake 0.024744
[1271/5000][420/535][131149] Loss_D: -0.020950 Loss_G: 0.009894 Loss_D_real: -0.024174 Loss_D_fake -0.003225
[1271/5000][425/535][131150] Loss_D: -0.020629 Loss_G: 0.010216 Loss_D_real: -0.019588 Loss_D_fake 0.001041
[1271/5000][430/535][131151] Loss_D: -0.018240 Loss_G: -0.015658 Loss_D_real: 0.002887 Loss_D_fake 0.021127
[1271/5000][435/535][131152] Loss_D: -0.020663 Loss_G: 0.014465 Loss_D_real: -0.015929 Loss_D_fake 0.004734
[1271/5000][440/535][131153] Loss_D: -0.019517 Loss_G: 0.020373 Loss_D_real: -0.020214 Loss_D_fake -0.000697
[1271/5000][445/535][131154] Loss_D: -0.019935 Loss_G: -0.000781 Loss_D_real: -0.016457 Loss_D_fake 0.003478
[1271/5000][450/535][131155] Loss_D: -0.019630 Loss_G: 0.002801 Loss_D_real: -0.025992 Loss_D_fake -0.006362
[1271/5000][455/535][131156] Loss_D: -0.020346 Loss_G: 0.014347 Loss_D_real: -0.030581 Loss_D_fake -0.010235
[1271/5000][460/535][131157] Loss_D: -0.019706 Loss_G: -0.014423 Loss_D_real: 0.000947 Loss_D_fake 0.020653
[1271/5000][465/535][131158] Loss_D: -0.020247 Loss_G: 0.009381 Loss_D_real: -0.015303 Loss_D_fake 0.004944
[1271/5000][470/535][131159] Loss_D: -0.020491 Loss_G: 0.001569 Loss_D_real: -0.007054 Loss_D_fake 0.013437
[1271/5000][475/535][131160] Loss_D: -0.020075 Loss_G: 0.004786 Loss_D_real: -0.017655 Loss_D_fake 0.002420
[1271/5000][480/535][131161] Loss_D: -0.020523 Loss_G: -0.001879 Loss_D_real: -0.005978 Loss_D_fake 0.014545
[1271/5000][485/535][131162] Loss_D: -0.020589 Loss_G: 0.030021 Loss_D_real: -0.020551 Loss_D_fake 0.000038
[1271/5000][490/535][131163] Loss_D: -0.019714 Loss_G: 0.013157 Loss_D_real: -0.032388 Loss_D_fake -0.012673
[1271/5000][495/535][131164] Loss_D: -0.020327 Loss_G: -0.013306 Loss_D_real: -0.012668 Loss_D_fake 0.007659
[1271/5000][500/535][131165] Loss_D: -0.019048 Loss_G: 0.006611 Loss_D_real: -0.025010 Loss_D_fake -0.005963
[1271/5000][505/535][131166] Loss_D: -0.020080 Loss_G: 0.001835 Loss_D_real: -0.009873 Loss_D_fake 0.010207
[1271/5000][510/535][131167] Loss_D: -0.019432 Loss_G: 0.017184 Loss_D_real: -0.023074 Loss_D_fake -0.003642
[1271/5000][515/535][131168] Loss_D: -0.019603 Loss_G: 0.003882 Loss_D_real: -0.020715 Loss_D_fake -0.001112
[1271/5000][520/535][131169] Loss_D: -0.019170 Loss_G: 0.009934 Loss_D_real: -0.020521 Loss_D_fake -0.001351
[1271/5000][525/535][131170] Loss_D: -0.019055 Loss_G: -0.007228 Loss_D_real: -0.001933 Loss_D_fake 0.017122
[1271/5000][530/535][131171] Loss_D: -0.019029 Loss_G: 0.004936 Loss_D_real: -0.021720 Loss_D_fake -0.002691
[1271/5000][535/535][131172] Loss_D: -0.017862 Loss_G: 0.003900 Loss_D_real: 0.004360 Loss_D_fake 0.022222
[1272/5000][5/535][131173] Loss_D: -0.020762 Loss_G: 0.002502 Loss_D_real: -0.015574 Loss_D_fake 0.005188
[1272/5000][10/535][131174] Loss_D: -0.020711 Loss_G: -0.008869 Loss_D_real: -0.015465 Loss_D_fake 0.005246
[1272/5000][15/535][131175] Loss_D: -0.019473 Loss_G: -0.006995 Loss_D_real: -0.003703 Loss_D_fake 0.015770
[1272/5000][20/535][131176] Loss_D: -0.020291 Loss_G: 0.018927 Loss_D_real: -0.019441 Loss_D_fake 0.000849
[1272/5000][25/535][131177] Loss_D: -0.020250 Loss_G: 0.001041 Loss_D_real: -0.021486 Loss_D_fake -0.001236
[1272/5000][30/535][131178] Loss_D: -0.021113 Loss_G: 0.004241 Loss_D_real: -0.016432 Loss_D_fake 0.004681
[1272/5000][35/535][131179] Loss_D: -0.020803 Loss_G: 0.013625 Loss_D_real: -0.012121 Loss_D_fake 0.008682
[1272/5000][40/535][131180] Loss_D: -0.017725 Loss_G: 0.003177 Loss_D_real: -0.016334 Loss_D_fake 0.001392
[1272/5000][45/535][131181] Loss_D: -0.019853 Loss_G: 0.003436 Loss_D_real: -0.019557 Loss_D_fake 0.000296
[1272/5000][50/535][131182] Loss_D: -0.020334 Loss_G: 0.008162 Loss_D_real: -0.026485 Loss_D_fake -0.006151
[1272/5000][55/535][131183] Loss_D: -0.020663 Loss_G: -0.001281 Loss_D_real: -0.002779 Loss_D_fake 0.017884
[1272/5000][60/535][131184] Loss_D: -0.020781 Loss_G: 0.006522 Loss_D_real: -0.011495 Loss_D_fake 0.009286
[1272/5000][65/535][131185] Loss_D: -0.021427 Loss_G: 0.024893 Loss_D_real: -0.012825 Loss_D_fake 0.008602
[1272/5000][70/535][131186] Loss_D: -0.020088 Loss_G: -0.007976 Loss_D_real: 0.003632 Loss_D_fake 0.023720
[1272/5000][75/535][131187] Loss_D: -0.019539 Loss_G: -0.003430 Loss_D_real: -0.016347 Loss_D_fake 0.003192
[1272/5000][80/535][131188] Loss_D: -0.019089 Loss_G: -0.009748 Loss_D_real: -0.010758 Loss_D_fake 0.008331
[1272/5000][85/535][131189] Loss_D: -0.019842 Loss_G: 0.020443 Loss_D_real: -0.026644 Loss_D_fake -0.006801
[1272/5000][90/535][131190] Loss_D: -0.020182 Loss_G: -0.012979 Loss_D_real: -0.017960 Loss_D_fake 0.002222
[1272/5000][95/535][131191] Loss_D: -0.018845 Loss_G: 0.023868 Loss_D_real: -0.030625 Loss_D_fake -0.011781
[1272/5000][100/535][131192] Loss_D: -0.019363 Loss_G: 0.005072 Loss_D_real: -0.013460 Loss_D_fake 0.005904
[1272/5000][105/535][131193] Loss_D: -0.019877 Loss_G: 0.023204 Loss_D_real: -0.021352 Loss_D_fake -0.001475
[1272/5000][110/535][131194] Loss_D: -0.020049 Loss_G: -0.004994 Loss_D_real: 0.004527 Loss_D_fake 0.024576
[1272/5000][115/535][131195] Loss_D: -0.020150 Loss_G: -0.005795 Loss_D_real: -0.025716 Loss_D_fake -0.005566
[1272/5000][120/535][131196] Loss_D: -0.020026 Loss_G: 0.008425 Loss_D_real: -0.014651 Loss_D_fake 0.005376
[1272/5000][125/535][131197] Loss_D: -0.019915 Loss_G: 0.015881 Loss_D_real: -0.014638 Loss_D_fake 0.005277
[1272/5000][130/535][131198] Loss_D: -0.019913 Loss_G: 0.007083 Loss_D_real: -0.021251 Loss_D_fake -0.001337
[1272/5000][135/535][131199] Loss_D: -0.018793 Loss_G: -0.003587 Loss_D_real: -0.005869 Loss_D_fake 0.012924
[1272/5000][140/535][131200] Loss_D: -0.019965 Loss_G: 0.018132 Loss_D_real: -0.017941 Loss_D_fake 0.002024
[1272/5000][145/535][131201] Loss_D: -0.019975 Loss_G: 0.010348 Loss_D_real: -0.022386 Loss_D_fake -0.002411
[1272/5000][150/535][131202] Loss_D: -0.020179 Loss_G: 0.008916 Loss_D_real: -0.014754 Loss_D_fake 0.005425
[1272/5000][155/535][131203] Loss_D: -0.019091 Loss_G: 0.014559 Loss_D_real: -0.012237 Loss_D_fake 0.006854
[1272/5000][160/535][131204] Loss_D: -0.019929 Loss_G: 0.002907 Loss_D_real: -0.021887 Loss_D_fake -0.001958
[1272/5000][165/535][131205] Loss_D: -0.020605 Loss_G: 0.016104 Loss_D_real: -0.028501 Loss_D_fake -0.007896
[1272/5000][170/535][131206] Loss_D: -0.020262 Loss_G: 0.015020 Loss_D_real: -0.017210 Loss_D_fake 0.003052
[1272/5000][175/535][131207] Loss_D: -0.019830 Loss_G: 0.017006 Loss_D_real: -0.021405 Loss_D_fake -0.001576
[1272/5000][180/535][131208] Loss_D: -0.019783 Loss_G: 0.008063 Loss_D_real: -0.013364 Loss_D_fake 0.006418
[1272/5000][185/535][131209] Loss_D: -0.021440 Loss_G: 0.009294 Loss_D_real: -0.021534 Loss_D_fake -0.000094
[1272/5000][190/535][131210] Loss_D: -0.019530 Loss_G: -0.012064 Loss_D_real: 0.002232 Loss_D_fake 0.021761
[1272/5000][195/535][131211] Loss_D: -0.018258 Loss_G: -0.025042 Loss_D_real: 0.009939 Loss_D_fake 0.028197
[1272/5000][200/535][131212] Loss_D: -0.019579 Loss_G: 0.000951 Loss_D_real: -0.008412 Loss_D_fake 0.011166
[1272/5000][205/535][131213] Loss_D: -0.019485 Loss_G: 0.016222 Loss_D_real: -0.015817 Loss_D_fake 0.003667
[1272/5000][210/535][131214] Loss_D: -0.020295 Loss_G: 0.011093 Loss_D_real: -0.015726 Loss_D_fake 0.004569
[1272/5000][215/535][131215] Loss_D: -0.019756 Loss_G: 0.007139 Loss_D_real: -0.023184 Loss_D_fake -0.003428
[1272/5000][220/535][131216] Loss_D: -0.020497 Loss_G: 0.002896 Loss_D_real: -0.022757 Loss_D_fake -0.002260
[1272/5000][225/535][131217] Loss_D: -0.020116 Loss_G: -0.004079 Loss_D_real: -0.026249 Loss_D_fake -0.006133
[1272/5000][230/535][131218] Loss_D: -0.018449 Loss_G: 0.016381 Loss_D_real: -0.033680 Loss_D_fake -0.015232
[1272/5000][235/535][131219] Loss_D: -0.019610 Loss_G: 0.025322 Loss_D_real: -0.023038 Loss_D_fake -0.003428
[1272/5000][240/535][131220] Loss_D: -0.020402 Loss_G: 0.010175 Loss_D_real: -0.031774 Loss_D_fake -0.011372
[1272/5000][245/535][131221] Loss_D: -0.021206 Loss_G: 0.018339 Loss_D_real: -0.013106 Loss_D_fake 0.008101
[1272/5000][250/535][131222] Loss_D: -0.020736 Loss_G: 0.009800 Loss_D_real: -0.020801 Loss_D_fake -0.000065
[1272/5000][255/535][131223] Loss_D: -0.018672 Loss_G: -0.000168 Loss_D_real: -0.004915 Loss_D_fake 0.013756
[1272/5000][260/535][131224] Loss_D: -0.019603 Loss_G: 0.019843 Loss_D_real: -0.025509 Loss_D_fake -0.005906
[1272/5000][265/535][131225] Loss_D: -0.018900 Loss_G: -0.014539 Loss_D_real: -0.001954 Loss_D_fake 0.016947
[1272/5000][270/535][131226] Loss_D: -0.020446 Loss_G: 0.006318 Loss_D_real: -0.016537 Loss_D_fake 0.003910
[1272/5000][275/535][131227] Loss_D: -0.019350 Loss_G: -0.009478 Loss_D_real: -0.004391 Loss_D_fake 0.014958
[1272/5000][280/535][131228] Loss_D: -0.019710 Loss_G: -0.010261 Loss_D_real: -0.007430 Loss_D_fake 0.012280
[1272/5000][285/535][131229] Loss_D: -0.020307 Loss_G: 0.007988 Loss_D_real: -0.011729 Loss_D_fake 0.008577
[1272/5000][290/535][131230] Loss_D: -0.020464 Loss_G: 0.005798 Loss_D_real: -0.020264 Loss_D_fake 0.000200
[1272/5000][295/535][131231] Loss_D: -0.019741 Loss_G: -0.012541 Loss_D_real: -0.006382 Loss_D_fake 0.013359
[1272/5000][300/535][131232] Loss_D: -0.019078 Loss_G: 0.021388 Loss_D_real: -0.030105 Loss_D_fake -0.011027
[1272/5000][305/535][131233] Loss_D: -0.015930 Loss_G: -0.027730 Loss_D_real: 0.004581 Loss_D_fake 0.020511
[1272/5000][310/535][131234] Loss_D: -0.019255 Loss_G: -0.006960 Loss_D_real: -0.012516 Loss_D_fake 0.006739
[1272/5000][315/535][131235] Loss_D: -0.020107 Loss_G: 0.018544 Loss_D_real: -0.026050 Loss_D_fake -0.005942
[1272/5000][320/535][131236] Loss_D: -0.020393 Loss_G: 0.023147 Loss_D_real: -0.033490 Loss_D_fake -0.013097
[1272/5000][325/535][131237] Loss_D: -0.020265 Loss_G: 0.013820 Loss_D_real: -0.017842 Loss_D_fake 0.002423
[1272/5000][330/535][131238] Loss_D: -0.019028 Loss_G: -0.007438 Loss_D_real: -0.010881 Loss_D_fake 0.008147
[1272/5000][335/535][131239] Loss_D: -0.020044 Loss_G: 0.004123 Loss_D_real: -0.011600 Loss_D_fake 0.008444
[1272/5000][340/535][131240] Loss_D: -0.021009 Loss_G: 0.007108 Loss_D_real: -0.012597 Loss_D_fake 0.008412
[1272/5000][345/535][131241] Loss_D: -0.020401 Loss_G: 0.008568 Loss_D_real: -0.019301 Loss_D_fake 0.001101
[1272/5000][350/535][131242] Loss_D: -0.020456 Loss_G: -0.008035 Loss_D_real: -0.005149 Loss_D_fake 0.015307
[1272/5000][355/535][131243] Loss_D: -0.019013 Loss_G: 0.032518 Loss_D_real: -0.027109 Loss_D_fake -0.008095
[1272/5000][360/535][131244] Loss_D: -0.019594 Loss_G: 0.001263 Loss_D_real: -0.018176 Loss_D_fake 0.001419
[1272/5000][365/535][131245] Loss_D: -0.020437 Loss_G: -0.012899 Loss_D_real: -0.021621 Loss_D_fake -0.001184
[1272/5000][370/535][131246] Loss_D: -0.018259 Loss_G: -0.012475 Loss_D_real: 0.010779 Loss_D_fake 0.029037
[1272/5000][375/535][131247] Loss_D: -0.020955 Loss_G: 0.009543 Loss_D_real: -0.009237 Loss_D_fake 0.011718
[1272/5000][380/535][131248] Loss_D: -0.019731 Loss_G: -0.013211 Loss_D_real: -0.002452 Loss_D_fake 0.017278
[1272/5000][385/535][131249] Loss_D: -0.019777 Loss_G: 0.014937 Loss_D_real: -0.013758 Loss_D_fake 0.006019
[1272/5000][390/535][131250] Loss_D: -0.020672 Loss_G: 0.007544 Loss_D_real: -0.012099 Loss_D_fake 0.008572
[1272/5000][395/535][131251] Loss_D: -0.019837 Loss_G: 0.003971 Loss_D_real: -0.007536 Loss_D_fake 0.012301
[1272/5000][400/535][131252] Loss_D: -0.020076 Loss_G: 0.033634 Loss_D_real: -0.016306 Loss_D_fake 0.003770
[1272/5000][405/535][131253] Loss_D: -0.020336 Loss_G: 0.001181 Loss_D_real: -0.021017 Loss_D_fake -0.000681
[1272/5000][410/535][131254] Loss_D: -0.020384 Loss_G: 0.003426 Loss_D_real: -0.011244 Loss_D_fake 0.009139
[1272/5000][415/535][131255] Loss_D: -0.020001 Loss_G: 0.006880 Loss_D_real: -0.024660 Loss_D_fake -0.004659
[1272/5000][420/535][131256] Loss_D: -0.020820 Loss_G: 0.002350 Loss_D_real: -0.021109 Loss_D_fake -0.000289
[1272/5000][425/535][131257] Loss_D: -0.020179 Loss_G: 0.014726 Loss_D_real: -0.014115 Loss_D_fake 0.006063
[1272/5000][430/535][131258] Loss_D: -0.020014 Loss_G: -0.000558 Loss_D_real: -0.015274 Loss_D_fake 0.004740
[1272/5000][435/535][131259] Loss_D: -0.020865 Loss_G: 0.013807 Loss_D_real: -0.036793 Loss_D_fake -0.015929
[1272/5000][440/535][131260] Loss_D: -0.020653 Loss_G: 0.008141 Loss_D_real: -0.016470 Loss_D_fake 0.004183
[1272/5000][445/535][131261] Loss_D: -0.020082 Loss_G: 0.009426 Loss_D_real: -0.018763 Loss_D_fake 0.001319
[1272/5000][450/535][131262] Loss_D: -0.021141 Loss_G: 0.001185 Loss_D_real: -0.010103 Loss_D_fake 0.011038
[1272/5000][455/535][131263] Loss_D: -0.021085 Loss_G: 0.009359 Loss_D_real: -0.016368 Loss_D_fake 0.004717
[1272/5000][460/535][131264] Loss_D: -0.020186 Loss_G: 0.003998 Loss_D_real: -0.007594 Loss_D_fake 0.012593
[1272/5000][465/535][131265] Loss_D: -0.020845 Loss_G: 0.011575 Loss_D_real: -0.012809 Loss_D_fake 0.008036
[1272/5000][470/535][131266] Loss_D: -0.020437 Loss_G: -0.013029 Loss_D_real: -0.014914 Loss_D_fake 0.005523
[1272/5000][475/535][131267] Loss_D: -0.020457 Loss_G: 0.018279 Loss_D_real: -0.029244 Loss_D_fake -0.008787
[1272/5000][480/535][131268] Loss_D: -0.020585 Loss_G: 0.015759 Loss_D_real: -0.026486 Loss_D_fake -0.005901
[1272/5000][485/535][131269] Loss_D: -0.019301 Loss_G: -0.011402 Loss_D_real: -0.004507 Loss_D_fake 0.014794
[1272/5000][490/535][131270] Loss_D: -0.019304 Loss_G: 0.005770 Loss_D_real: -0.016078 Loss_D_fake 0.003226
[1272/5000][495/535][131271] Loss_D: -0.020563 Loss_G: -0.010447 Loss_D_real: -0.009696 Loss_D_fake 0.010867
[1272/5000][500/535][131272] Loss_D: -0.019674 Loss_G: 0.030645 Loss_D_real: -0.030044 Loss_D_fake -0.010370
[1272/5000][505/535][131273] Loss_D: -0.018638 Loss_G: 0.010267 Loss_D_real: -0.011013 Loss_D_fake 0.007625
[1272/5000][510/535][131274] Loss_D: -0.020699 Loss_G: -0.012031 Loss_D_real: -0.008386 Loss_D_fake 0.012312
[1272/5000][515/535][131275] Loss_D: -0.019815 Loss_G: -0.001415 Loss_D_real: -0.010186 Loss_D_fake 0.009629
[1272/5000][520/535][131276] Loss_D: -0.020170 Loss_G: 0.020450 Loss_D_real: -0.019200 Loss_D_fake 0.000969
[1272/5000][525/535][131277] Loss_D: -0.020214 Loss_G: 0.008080 Loss_D_real: -0.017235 Loss_D_fake 0.002979
[1272/5000][530/535][131278] Loss_D: -0.019991 Loss_G: 0.026399 Loss_D_real: -0.023936 Loss_D_fake -0.003944
[1272/5000][535/535][131279] Loss_D: -0.018778 Loss_G: 0.035003 Loss_D_real: -0.018270 Loss_D_fake 0.000508
[1273/5000][5/535][131280] Loss_D: -0.019036 Loss_G: 0.000728 Loss_D_real: -0.020575 Loss_D_fake -0.001539
[1273/5000][10/535][131281] Loss_D: -0.021087 Loss_G: 0.011529 Loss_D_real: -0.024136 Loss_D_fake -0.003049
[1273/5000][15/535][131282] Loss_D: -0.020556 Loss_G: 0.004128 Loss_D_real: -0.013230 Loss_D_fake 0.007326
[1273/5000][20/535][131283] Loss_D: -0.020692 Loss_G: 0.002653 Loss_D_real: -0.027525 Loss_D_fake -0.006833
[1273/5000][25/535][131284] Loss_D: -0.020263 Loss_G: 0.022721 Loss_D_real: -0.036748 Loss_D_fake -0.016485
[1273/5000][30/535][131285] Loss_D: -0.020851 Loss_G: -0.003518 Loss_D_real: -0.020347 Loss_D_fake 0.000504
[1273/5000][35/535][131286] Loss_D: -0.019493 Loss_G: -0.008118 Loss_D_real: -0.008218 Loss_D_fake 0.011276
[1273/5000][40/535][131287] Loss_D: -0.020744 Loss_G: 0.019711 Loss_D_real: -0.004703 Loss_D_fake 0.016041
[1273/5000][45/535][131288] Loss_D: -0.020101 Loss_G: -0.000245 Loss_D_real: -0.001089 Loss_D_fake 0.019012
[1273/5000][50/535][131289] Loss_D: -0.019854 Loss_G: 0.000550 Loss_D_real: -0.016630 Loss_D_fake 0.003225
[1273/5000][55/535][131290] Loss_D: -0.018539 Loss_G: 0.027016 Loss_D_real: -0.033500 Loss_D_fake -0.014961
[1273/5000][60/535][131291] Loss_D: -0.020276 Loss_G: 0.009799 Loss_D_real: -0.025101 Loss_D_fake -0.004825
[1273/5000][65/535][131292] Loss_D: -0.021015 Loss_G: 0.003128 Loss_D_real: -0.012048 Loss_D_fake 0.008966
[1273/5000][70/535][131293] Loss_D: -0.020489 Loss_G: -0.000307 Loss_D_real: -0.015607 Loss_D_fake 0.004882
[1273/5000][75/535][131294] Loss_D: -0.019915 Loss_G: 0.003557 Loss_D_real: -0.033581 Loss_D_fake -0.013666
[1273/5000][80/535][131295] Loss_D: -0.019479 Loss_G: 0.015019 Loss_D_real: -0.029569 Loss_D_fake -0.010090
[1273/5000][85/535][131296] Loss_D: -0.019775 Loss_G: 0.008339 Loss_D_real: -0.022373 Loss_D_fake -0.002598
[1273/5000][90/535][131297] Loss_D: -0.020005 Loss_G: 0.000360 Loss_D_real: -0.008033 Loss_D_fake 0.011972
[1273/5000][95/535][131298] Loss_D: -0.020706 Loss_G: 0.006565 Loss_D_real: -0.008750 Loss_D_fake 0.011956
[1273/5000][100/535][131299] Loss_D: -0.020054 Loss_G: -0.006550 Loss_D_real: -0.009828 Loss_D_fake 0.010226
[1273/5000][105/535][131300] Loss_D: -0.019580 Loss_G: 0.013983 Loss_D_real: -0.016660 Loss_D_fake 0.002920
[1273/5000][110/535][131301] Loss_D: -0.020025 Loss_G: 0.019099 Loss_D_real: -0.018506 Loss_D_fake 0.001519
[1273/5000][115/535][131302] Loss_D: -0.020540 Loss_G: -0.010376 Loss_D_real: -0.007815 Loss_D_fake 0.012725
[1273/5000][120/535][131303] Loss_D: -0.019590 Loss_G: 0.007119 Loss_D_real: -0.011469 Loss_D_fake 0.008121
[1273/5000][125/535][131304] Loss_D: -0.021577 Loss_G: -0.002450 Loss_D_real: -0.011956 Loss_D_fake 0.009621
[1273/5000][130/535][131305] Loss_D: -0.020563 Loss_G: 0.017382 Loss_D_real: -0.017130 Loss_D_fake 0.003433
[1273/5000][135/535][131306] Loss_D: -0.020697 Loss_G: -0.009969 Loss_D_real: 0.004110 Loss_D_fake 0.024806
[1273/5000][140/535][131307] Loss_D: -0.019955 Loss_G: -0.005342 Loss_D_real: -0.010615 Loss_D_fake 0.009340
[1273/5000][145/535][131308] Loss_D: -0.018872 Loss_G: 0.001988 Loss_D_real: -0.015811 Loss_D_fake 0.003061
[1273/5000][150/535][131309] Loss_D: -0.020314 Loss_G: 0.020238 Loss_D_real: -0.025916 Loss_D_fake -0.005602
[1273/5000][155/535][131310] Loss_D: -0.019353 Loss_G: 0.022700 Loss_D_real: -0.014583 Loss_D_fake 0.004770
[1273/5000][160/535][131311] Loss_D: -0.019349 Loss_G: 0.022694 Loss_D_real: -0.027194 Loss_D_fake -0.007845
[1273/5000][165/535][131312] Loss_D: -0.019612 Loss_G: 0.002091 Loss_D_real: -0.028797 Loss_D_fake -0.009186
[1273/5000][170/535][131313] Loss_D: -0.021002 Loss_G: -0.013998 Loss_D_real: -0.014405 Loss_D_fake 0.006597
[1273/5000][175/535][131314] Loss_D: -0.019010 Loss_G: 0.017485 Loss_D_real: -0.020661 Loss_D_fake -0.001651
[1273/5000][180/535][131315] Loss_D: -0.019741 Loss_G: -0.000670 Loss_D_real: -0.008843 Loss_D_fake 0.010898
[1273/5000][185/535][131316] Loss_D: -0.019319 Loss_G: 0.007475 Loss_D_real: -0.002638 Loss_D_fake 0.016681
[1273/5000][190/535][131317] Loss_D: -0.018544 Loss_G: 0.008513 Loss_D_real: -0.047064 Loss_D_fake -0.028521
[1273/5000][195/535][131318] Loss_D: -0.020055 Loss_G: 0.017153 Loss_D_real: -0.009816 Loss_D_fake 0.010239
[1273/5000][200/535][131319] Loss_D: -0.018981 Loss_G: -0.011807 Loss_D_real: 0.004224 Loss_D_fake 0.023204
[1273/5000][205/535][131320] Loss_D: -0.020311 Loss_G: -0.007615 Loss_D_real: -0.016300 Loss_D_fake 0.004011
[1273/5000][210/535][131321] Loss_D: -0.021310 Loss_G: 0.004178 Loss_D_real: -0.010161 Loss_D_fake 0.011149
[1273/5000][215/535][131322] Loss_D: -0.019128 Loss_G: 0.007281 Loss_D_real: -0.009535 Loss_D_fake 0.009593
[1273/5000][220/535][131323] Loss_D: -0.020473 Loss_G: 0.006462 Loss_D_real: -0.021907 Loss_D_fake -0.001434
[1273/5000][225/535][131324] Loss_D: -0.019465 Loss_G: 0.022584 Loss_D_real: -0.027476 Loss_D_fake -0.008011
[1273/5000][230/535][131325] Loss_D: -0.019807 Loss_G: -0.008492 Loss_D_real: -0.001650 Loss_D_fake 0.018157
[1273/5000][235/535][131326] Loss_D: -0.021174 Loss_G: 0.006939 Loss_D_real: -0.013825 Loss_D_fake 0.007349
[1273/5000][240/535][131327] Loss_D: -0.019789 Loss_G: 0.001754 Loss_D_real: -0.012190 Loss_D_fake 0.007599
[1273/5000][245/535][131328] Loss_D: -0.020358 Loss_G: -0.004919 Loss_D_real: -0.005656 Loss_D_fake 0.014702
[1273/5000][250/535][131329] Loss_D: -0.020039 Loss_G: -0.003771 Loss_D_real: -0.012995 Loss_D_fake 0.007045
[1273/5000][255/535][131330] Loss_D: -0.020918 Loss_G: 0.008498 Loss_D_real: -0.015143 Loss_D_fake 0.005775
[1273/5000][260/535][131331] Loss_D: -0.020126 Loss_G: -0.001269 Loss_D_real: -0.017528 Loss_D_fake 0.002598
[1273/5000][265/535][131332] Loss_D: -0.020791 Loss_G: 0.015097 Loss_D_real: -0.013575 Loss_D_fake 0.007216
[1273/5000][270/535][131333] Loss_D: -0.019378 Loss_G: -0.006257 Loss_D_real: -0.017384 Loss_D_fake 0.001994
[1273/5000][275/535][131334] Loss_D: -0.019672 Loss_G: 0.033940 Loss_D_real: -0.029479 Loss_D_fake -0.009808
[1273/5000][280/535][131335] Loss_D: -0.019261 Loss_G: -0.016848 Loss_D_real: -0.000466 Loss_D_fake 0.018795
[1273/5000][285/535][131336] Loss_D: -0.018621 Loss_G: 0.019566 Loss_D_real: -0.022543 Loss_D_fake -0.003923
[1273/5000][290/535][131337] Loss_D: -0.019267 Loss_G: 0.012329 Loss_D_real: -0.006998 Loss_D_fake 0.012269
[1273/5000][295/535][131338] Loss_D: -0.019640 Loss_G: 0.019025 Loss_D_real: -0.026296 Loss_D_fake -0.006656
[1273/5000][300/535][131339] Loss_D: -0.020025 Loss_G: 0.010942 Loss_D_real: -0.017793 Loss_D_fake 0.002232
[1273/5000][305/535][131340] Loss_D: -0.021096 Loss_G: 0.018138 Loss_D_real: -0.027167 Loss_D_fake -0.006071
[1273/5000][310/535][131341] Loss_D: -0.020472 Loss_G: 0.002218 Loss_D_real: -0.013072 Loss_D_fake 0.007400
[1273/5000][315/535][131342] Loss_D: -0.019526 Loss_G: 0.016453 Loss_D_real: -0.029639 Loss_D_fake -0.010113
[1273/5000][320/535][131343] Loss_D: -0.019813 Loss_G: -0.008152 Loss_D_real: -0.001284 Loss_D_fake 0.018529
[1273/5000][325/535][131344] Loss_D: -0.021161 Loss_G: 0.004707 Loss_D_real: -0.007304 Loss_D_fake 0.013857
[1273/5000][330/535][131345] Loss_D: -0.018441 Loss_G: 0.021419 Loss_D_real: -0.031030 Loss_D_fake -0.012589
[1273/5000][335/535][131346] Loss_D: -0.019380 Loss_G: -0.003982 Loss_D_real: -0.005771 Loss_D_fake 0.013609
[1273/5000][340/535][131347] Loss_D: -0.019665 Loss_G: -0.014973 Loss_D_real: -0.001251 Loss_D_fake 0.018414
[1273/5000][345/535][131348] Loss_D: -0.018393 Loss_G: 0.009850 Loss_D_real: -0.020855 Loss_D_fake -0.002461
[1273/5000][350/535][131349] Loss_D: -0.019369 Loss_G: 0.006015 Loss_D_real: -0.012661 Loss_D_fake 0.006708
[1273/5000][355/535][131350] Loss_D: -0.020117 Loss_G: -0.016561 Loss_D_real: -0.004543 Loss_D_fake 0.015574
[1273/5000][360/535][131351] Loss_D: -0.020518 Loss_G: 0.018333 Loss_D_real: -0.016294 Loss_D_fake 0.004224
[1273/5000][365/535][131352] Loss_D: -0.019875 Loss_G: 0.011032 Loss_D_real: -0.007827 Loss_D_fake 0.012047
[1273/5000][370/535][131353] Loss_D: -0.018955 Loss_G: 0.014538 Loss_D_real: -0.017367 Loss_D_fake 0.001588
[1273/5000][375/535][131354] Loss_D: -0.021076 Loss_G: 0.009885 Loss_D_real: -0.016170 Loss_D_fake 0.004906
[1273/5000][380/535][131355] Loss_D: -0.020766 Loss_G: 0.005630 Loss_D_real: 0.001105 Loss_D_fake 0.021871
[1273/5000][385/535][131356] Loss_D: -0.018856 Loss_G: 0.014283 Loss_D_real: -0.024653 Loss_D_fake -0.005796
[1273/5000][390/535][131357] Loss_D: -0.019352 Loss_G: 0.009926 Loss_D_real: -0.020191 Loss_D_fake -0.000840
[1273/5000][395/535][131358] Loss_D: -0.020635 Loss_G: -0.001062 Loss_D_real: -0.013595 Loss_D_fake 0.007040
[1273/5000][400/535][131359] Loss_D: -0.019305 Loss_G: -0.005112 Loss_D_real: -0.004008 Loss_D_fake 0.015297
[1273/5000][405/535][131360] Loss_D: -0.018271 Loss_G: 0.031112 Loss_D_real: -0.025778 Loss_D_fake -0.007507
[1273/5000][410/535][131361] Loss_D: -0.019948 Loss_G: 0.000061 Loss_D_real: -0.015366 Loss_D_fake 0.004581
[1273/5000][415/535][131362] Loss_D: -0.018757 Loss_G: 0.012225 Loss_D_real: -0.023685 Loss_D_fake -0.004928
[1273/5000][420/535][131363] Loss_D: -0.020343 Loss_G: -0.005418 Loss_D_real: -0.012639 Loss_D_fake 0.007704
[1273/5000][425/535][131364] Loss_D: -0.018961 Loss_G: 0.015961 Loss_D_real: -0.026807 Loss_D_fake -0.007846
[1273/5000][430/535][131365] Loss_D: -0.020427 Loss_G: 0.014052 Loss_D_real: -0.023038 Loss_D_fake -0.002610
[1273/5000][435/535][131366] Loss_D: -0.020390 Loss_G: -0.003878 Loss_D_real: -0.017952 Loss_D_fake 0.002437
[1273/5000][440/535][131367] Loss_D: -0.020727 Loss_G: 0.019998 Loss_D_real: -0.016231 Loss_D_fake 0.004495
[1273/5000][445/535][131368] Loss_D: -0.019073 Loss_G: -0.010900 Loss_D_real: -0.003117 Loss_D_fake 0.015956
[1273/5000][450/535][131369] Loss_D: -0.019047 Loss_G: 0.006639 Loss_D_real: -0.015198 Loss_D_fake 0.003849
[1273/5000][455/535][131370] Loss_D: -0.020730 Loss_G: -0.015946 Loss_D_real: -0.013297 Loss_D_fake 0.007433
[1273/5000][460/535][131371] Loss_D: -0.018973 Loss_G: -0.007836 Loss_D_real: -0.010854 Loss_D_fake 0.008118
[1273/5000][465/535][131372] Loss_D: -0.019155 Loss_G: 0.010537 Loss_D_real: -0.021959 Loss_D_fake -0.002804
[1273/5000][470/535][131373] Loss_D: -0.021005 Loss_G: -0.001856 Loss_D_real: -0.012221 Loss_D_fake 0.008784
[1273/5000][475/535][131374] Loss_D: -0.020501 Loss_G: 0.017513 Loss_D_real: -0.019835 Loss_D_fake 0.000666
[1273/5000][480/535][131375] Loss_D: -0.020167 Loss_G: -0.017268 Loss_D_real: -0.001313 Loss_D_fake 0.018853
[1273/5000][485/535][131376] Loss_D: -0.019286 Loss_G: 0.016171 Loss_D_real: -0.022762 Loss_D_fake -0.003475
[1273/5000][490/535][131377] Loss_D: -0.020786 Loss_G: -0.002775 Loss_D_real: -0.010547 Loss_D_fake 0.010239
[1273/5000][495/535][131378] Loss_D: -0.018654 Loss_G: 0.017718 Loss_D_real: -0.017447 Loss_D_fake 0.001208
[1273/5000][500/535][131379] Loss_D: -0.019594 Loss_G: 0.011606 Loss_D_real: -0.023963 Loss_D_fake -0.004368
[1273/5000][505/535][131380] Loss_D: -0.020521 Loss_G: 0.018911 Loss_D_real: -0.020145 Loss_D_fake 0.000376
[1273/5000][510/535][131381] Loss_D: -0.019333 Loss_G: 0.011966 Loss_D_real: -0.022390 Loss_D_fake -0.003057
[1273/5000][515/535][131382] Loss_D: -0.017371 Loss_G: 0.022470 Loss_D_real: -0.038323 Loss_D_fake -0.020952
[1273/5000][520/535][131383] Loss_D: -0.020231 Loss_G: -0.000639 Loss_D_real: -0.020230 Loss_D_fake 0.000002
[1273/5000][525/535][131384] Loss_D: -0.019369 Loss_G: 0.018180 Loss_D_real: -0.015579 Loss_D_fake 0.003790
[1273/5000][530/535][131385] Loss_D: -0.020567 Loss_G: 0.003562 Loss_D_real: -0.009946 Loss_D_fake 0.010620
[1273/5000][535/535][131386] Loss_D: -0.020444 Loss_G: -0.001467 Loss_D_real: -0.022455 Loss_D_fake -0.002011
[1274/5000][5/535][131387] Loss_D: -0.020369 Loss_G: -0.002646 Loss_D_real: -0.008538 Loss_D_fake 0.011832
[1274/5000][10/535][131388] Loss_D: -0.021094 Loss_G: -0.000520 Loss_D_real: -0.007403 Loss_D_fake 0.013692
[1274/5000][15/535][131389] Loss_D: -0.019785 Loss_G: -0.017643 Loss_D_real: 0.004681 Loss_D_fake 0.024466
[1274/5000][20/535][131390] Loss_D: -0.019303 Loss_G: 0.006812 Loss_D_real: -0.013214 Loss_D_fake 0.006088
[1274/5000][25/535][131391] Loss_D: -0.020662 Loss_G: -0.007610 Loss_D_real: -0.007079 Loss_D_fake 0.013583
[1274/5000][30/535][131392] Loss_D: -0.020501 Loss_G: 0.014559 Loss_D_real: -0.013224 Loss_D_fake 0.007277
[1274/5000][35/535][131393] Loss_D: -0.019634 Loss_G: 0.021815 Loss_D_real: -0.027765 Loss_D_fake -0.008131
[1274/5000][40/535][131394] Loss_D: -0.020195 Loss_G: 0.015961 Loss_D_real: -0.011556 Loss_D_fake 0.008639
[1274/5000][45/535][131395] Loss_D: -0.017224 Loss_G: -0.024727 Loss_D_real: 0.006599 Loss_D_fake 0.023823
[1274/5000][50/535][131396] Loss_D: -0.017851 Loss_G: -0.017729 Loss_D_real: -0.014223 Loss_D_fake 0.003628
[1274/5000][55/535][131397] Loss_D: -0.021752 Loss_G: 0.022285 Loss_D_real: -0.020904 Loss_D_fake 0.000848
[1274/5000][60/535][131398] Loss_D: -0.019654 Loss_G: 0.013267 Loss_D_real: -0.026481 Loss_D_fake -0.006827
[1274/5000][65/535][131399] Loss_D: -0.019090 Loss_G: -0.012862 Loss_D_real: -0.000238 Loss_D_fake 0.018852
[1274/5000][70/535][131400] Loss_D: -0.020246 Loss_G: 0.015099 Loss_D_real: -0.022369 Loss_D_fake -0.002123
[1274/5000][75/535][131401] Loss_D: -0.021106 Loss_G: -0.000018 Loss_D_real: -0.011579 Loss_D_fake 0.009527
[1274/5000][80/535][131402] Loss_D: -0.020603 Loss_G: 0.016540 Loss_D_real: -0.007014 Loss_D_fake 0.013588
[1274/5000][85/535][131403] Loss_D: -0.018882 Loss_G: 0.003911 Loss_D_real: -0.008515 Loss_D_fake 0.010367
[1274/5000][90/535][131404] Loss_D: -0.019657 Loss_G: 0.004914 Loss_D_real: -0.020636 Loss_D_fake -0.000979
[1274/5000][95/535][131405] Loss_D: -0.019787 Loss_G: 0.022346 Loss_D_real: -0.023225 Loss_D_fake -0.003437
[1274/5000][100/535][131406] Loss_D: -0.020876 Loss_G: 0.000280 Loss_D_real: -0.012156 Loss_D_fake 0.008720
[1274/5000][105/535][131407] Loss_D: -0.019838 Loss_G: 0.008712 Loss_D_real: -0.007421 Loss_D_fake 0.012418
[1274/5000][110/535][131408] Loss_D: -0.020401 Loss_G: 0.015033 Loss_D_real: -0.029448 Loss_D_fake -0.009047
[1274/5000][115/535][131409] Loss_D: -0.021552 Loss_G: 0.008415 Loss_D_real: -0.012169 Loss_D_fake 0.009383
[1274/5000][120/535][131410] Loss_D: -0.020457 Loss_G: -0.000109 Loss_D_real: -0.008141 Loss_D_fake 0.012315
[1274/5000][125/535][131411] Loss_D: -0.020329 Loss_G: 0.000138 Loss_D_real: -0.020294 Loss_D_fake 0.000036
[1274/5000][130/535][131412] Loss_D: -0.020086 Loss_G: 0.007889 Loss_D_real: -0.023061 Loss_D_fake -0.002975
[1274/5000][135/535][131413] Loss_D: -0.019716 Loss_G: -0.004959 Loss_D_real: -0.008507 Loss_D_fake 0.011209
[1274/5000][140/535][131414] Loss_D: -0.019891 Loss_G: 0.012417 Loss_D_real: -0.022320 Loss_D_fake -0.002430
[1274/5000][145/535][131415] Loss_D: -0.020325 Loss_G: 0.005946 Loss_D_real: 0.001343 Loss_D_fake 0.021668
[1274/5000][150/535][131416] Loss_D: -0.020124 Loss_G: 0.012748 Loss_D_real: -0.027364 Loss_D_fake -0.007240
[1274/5000][155/535][131417] Loss_D: -0.020412 Loss_G: 0.011273 Loss_D_real: -0.022618 Loss_D_fake -0.002205
[1274/5000][160/535][131418] Loss_D: -0.020161 Loss_G: -0.007559 Loss_D_real: -0.005665 Loss_D_fake 0.014496
[1274/5000][165/535][131419] Loss_D: -0.020060 Loss_G: 0.023790 Loss_D_real: -0.017250 Loss_D_fake 0.002810
[1274/5000][170/535][131420] Loss_D: -0.019208 Loss_G: 0.015969 Loss_D_real: -0.015805 Loss_D_fake 0.003404
[1274/5000][175/535][131421] Loss_D: -0.020186 Loss_G: 0.005400 Loss_D_real: -0.012303 Loss_D_fake 0.007883
[1274/5000][180/535][131422] Loss_D: -0.019509 Loss_G: 0.013676 Loss_D_real: -0.022927 Loss_D_fake -0.003417
[1274/5000][185/535][131423] Loss_D: -0.019593 Loss_G: -0.011534 Loss_D_real: -0.005813 Loss_D_fake 0.013780
[1274/5000][190/535][131424] Loss_D: -0.021315 Loss_G: -0.007594 Loss_D_real: -0.020775 Loss_D_fake 0.000540
[1274/5000][195/535][131425] Loss_D: -0.021532 Loss_G: -0.001559 Loss_D_real: -0.014699 Loss_D_fake 0.006833
[1274/5000][200/535][131426] Loss_D: -0.019212 Loss_G: 0.023421 Loss_D_real: -0.022926 Loss_D_fake -0.003714
[1274/5000][205/535][131427] Loss_D: -0.019774 Loss_G: -0.001461 Loss_D_real: -0.003577 Loss_D_fake 0.016197
[1274/5000][210/535][131428] Loss_D: -0.018692 Loss_G: -0.012428 Loss_D_real: -0.016674 Loss_D_fake 0.002018
[1274/5000][215/535][131429] Loss_D: -0.020212 Loss_G: -0.010791 Loss_D_real: -0.017742 Loss_D_fake 0.002470
[1274/5000][220/535][131430] Loss_D: -0.020335 Loss_G: 0.014839 Loss_D_real: -0.021461 Loss_D_fake -0.001126
[1274/5000][225/535][131431] Loss_D: -0.020599 Loss_G: 0.029050 Loss_D_real: -0.023858 Loss_D_fake -0.003259
[1274/5000][230/535][131432] Loss_D: -0.020287 Loss_G: 0.013851 Loss_D_real: -0.021144 Loss_D_fake -0.000857
[1274/5000][235/535][131433] Loss_D: -0.020186 Loss_G: -0.001543 Loss_D_real: -0.006628 Loss_D_fake 0.013558
[1274/5000][240/535][131434] Loss_D: -0.020599 Loss_G: 0.002850 Loss_D_real: -0.014003 Loss_D_fake 0.006596
[1274/5000][245/535][131435] Loss_D: -0.019983 Loss_G: -0.007722 Loss_D_real: -0.007888 Loss_D_fake 0.012095
[1274/5000][250/535][131436] Loss_D: -0.020556 Loss_G: 0.005067 Loss_D_real: -0.028154 Loss_D_fake -0.007598
[1274/5000][255/535][131437] Loss_D: -0.018724 Loss_G: 0.015284 Loss_D_real: -0.021333 Loss_D_fake -0.002609
[1274/5000][260/535][131438] Loss_D: -0.019669 Loss_G: 0.002491 Loss_D_real: -0.007260 Loss_D_fake 0.012409
[1274/5000][265/535][131439] Loss_D: -0.019084 Loss_G: 0.014089 Loss_D_real: -0.023866 Loss_D_fake -0.004782
[1274/5000][270/535][131440] Loss_D: -0.020508 Loss_G: 0.013388 Loss_D_real: -0.009017 Loss_D_fake 0.011490
[1274/5000][275/535][131441] Loss_D: -0.019474 Loss_G: 0.019878 Loss_D_real: -0.035329 Loss_D_fake -0.015854
[1274/5000][280/535][131442] Loss_D: -0.021160 Loss_G: 0.004121 Loss_D_real: -0.018538 Loss_D_fake 0.002622
[1274/5000][285/535][131443] Loss_D: -0.020298 Loss_G: 0.008259 Loss_D_real: -0.006224 Loss_D_fake 0.014074
[1274/5000][290/535][131444] Loss_D: -0.020173 Loss_G: -0.007915 Loss_D_real: -0.002519 Loss_D_fake 0.017654
[1274/5000][295/535][131445] Loss_D: -0.018696 Loss_G: 0.025277 Loss_D_real: -0.023206 Loss_D_fake -0.004509
[1274/5000][300/535][131446] Loss_D: -0.019701 Loss_G: -0.004285 Loss_D_real: -0.004379 Loss_D_fake 0.015323
[1274/5000][305/535][131447] Loss_D: -0.017966 Loss_G: 0.006097 Loss_D_real: -0.019405 Loss_D_fake -0.001438
[1274/5000][310/535][131448] Loss_D: -0.018039 Loss_G: 0.024914 Loss_D_real: -0.027067 Loss_D_fake -0.009028
[1274/5000][315/535][131449] Loss_D: -0.018073 Loss_G: 0.030286 Loss_D_real: -0.026420 Loss_D_fake -0.008347
[1274/5000][320/535][131450] Loss_D: -0.020036 Loss_G: 0.000935 Loss_D_real: -0.021717 Loss_D_fake -0.001680
[1274/5000][325/535][131451] Loss_D: -0.019673 Loss_G: 0.021777 Loss_D_real: -0.030717 Loss_D_fake -0.011044
[1274/5000][330/535][131452] Loss_D: -0.020308 Loss_G: -0.012165 Loss_D_real: -0.012706 Loss_D_fake 0.007602
[1274/5000][335/535][131453] Loss_D: -0.018625 Loss_G: 0.002001 Loss_D_real: -0.007384 Loss_D_fake 0.011241
[1274/5000][340/535][131454] Loss_D: -0.018311 Loss_G: 0.015481 Loss_D_real: -0.027612 Loss_D_fake -0.009301
[1274/5000][345/535][131455] Loss_D: -0.020231 Loss_G: -0.001317 Loss_D_real: -0.016764 Loss_D_fake 0.003467
[1274/5000][350/535][131456] Loss_D: -0.019651 Loss_G: -0.013646 Loss_D_real: -0.008367 Loss_D_fake 0.011284
[1274/5000][355/535][131457] Loss_D: -0.021267 Loss_G: 0.003492 Loss_D_real: -0.015646 Loss_D_fake 0.005621
[1274/5000][360/535][131458] Loss_D: -0.018544 Loss_G: 0.016235 Loss_D_real: -0.022033 Loss_D_fake -0.003489
[1274/5000][365/535][131459] Loss_D: -0.020582 Loss_G: -0.009280 Loss_D_real: -0.020708 Loss_D_fake -0.000126
[1274/5000][370/535][131460] Loss_D: -0.020382 Loss_G: 0.017656 Loss_D_real: -0.016078 Loss_D_fake 0.004304
[1274/5000][375/535][131461] Loss_D: -0.021760 Loss_G: 0.007785 Loss_D_real: -0.009775 Loss_D_fake 0.011985
[1274/5000][380/535][131462] Loss_D: -0.019268 Loss_G: -0.003562 Loss_D_real: -0.019090 Loss_D_fake 0.000178
[1274/5000][385/535][131463] Loss_D: -0.019566 Loss_G: 0.001559 Loss_D_real: -0.018758 Loss_D_fake 0.000808
[1274/5000][390/535][131464] Loss_D: -0.020511 Loss_G: -0.003778 Loss_D_real: -0.008898 Loss_D_fake 0.011613
[1274/5000][395/535][131465] Loss_D: -0.019129 Loss_G: 0.024219 Loss_D_real: -0.028521 Loss_D_fake -0.009392
[1274/5000][400/535][131466] Loss_D: -0.019212 Loss_G: -0.017086 Loss_D_real: -0.011686 Loss_D_fake 0.007526
[1274/5000][405/535][131467] Loss_D: -0.019743 Loss_G: 0.019129 Loss_D_real: -0.029186 Loss_D_fake -0.009444
[1274/5000][410/535][131468] Loss_D: -0.020873 Loss_G: 0.020261 Loss_D_real: -0.023134 Loss_D_fake -0.002261
[1274/5000][415/535][131469] Loss_D: -0.019297 Loss_G: 0.001732 Loss_D_real: -0.025691 Loss_D_fake -0.006394
[1274/5000][420/535][131470] Loss_D: -0.018809 Loss_G: -0.007684 Loss_D_real: 0.005091 Loss_D_fake 0.023900
[1274/5000][425/535][131471] Loss_D: -0.020122 Loss_G: -0.003032 Loss_D_real: -0.008083 Loss_D_fake 0.012039
[1274/5000][430/535][131472] Loss_D: -0.020200 Loss_G: 0.002691 Loss_D_real: -0.017265 Loss_D_fake 0.002935
[1274/5000][435/535][131473] Loss_D: -0.021250 Loss_G: 0.013011 Loss_D_real: -0.028656 Loss_D_fake -0.007406
[1274/5000][440/535][131474] Loss_D: -0.019625 Loss_G: 0.004271 Loss_D_real: -0.019986 Loss_D_fake -0.000361
[1274/5000][445/535][131475] Loss_D: -0.019236 Loss_G: 0.020594 Loss_D_real: -0.030066 Loss_D_fake -0.010830
[1274/5000][450/535][131476] Loss_D: -0.020616 Loss_G: 0.004694 Loss_D_real: -0.020487 Loss_D_fake 0.000128
[1274/5000][455/535][131477] Loss_D: -0.019031 Loss_G: 0.022875 Loss_D_real: -0.018491 Loss_D_fake 0.000540
[1274/5000][460/535][131478] Loss_D: -0.019192 Loss_G: 0.035097 Loss_D_real: -0.025784 Loss_D_fake -0.006592
[1274/5000][465/535][131479] Loss_D: -0.022323 Loss_G: 0.015285 Loss_D_real: -0.029833 Loss_D_fake -0.007510
[1274/5000][470/535][131480] Loss_D: -0.021299 Loss_G: 0.009045 Loss_D_real: -0.027078 Loss_D_fake -0.005779
[1274/5000][475/535][131481] Loss_D: -0.020055 Loss_G: 0.023825 Loss_D_real: -0.035344 Loss_D_fake -0.015289
[1274/5000][480/535][131482] Loss_D: -0.021392 Loss_G: 0.000895 Loss_D_real: -0.017714 Loss_D_fake 0.003678
[1274/5000][485/535][131483] Loss_D: -0.019219 Loss_G: 0.002540 Loss_D_real: -0.014649 Loss_D_fake 0.004569
[1274/5000][490/535][131484] Loss_D: -0.019139 Loss_G: 0.017337 Loss_D_real: -0.029096 Loss_D_fake -0.009956
[1274/5000][495/535][131485] Loss_D: -0.019193 Loss_G: 0.020074 Loss_D_real: -0.027978 Loss_D_fake -0.008785
[1274/5000][500/535][131486] Loss_D: -0.021624 Loss_G: -0.018896 Loss_D_real: -0.019365 Loss_D_fake 0.002259
[1274/5000][505/535][131487] Loss_D: -0.020358 Loss_G: 0.002780 Loss_D_real: -0.013727 Loss_D_fake 0.006631
[1274/5000][510/535][131488] Loss_D: -0.018345 Loss_G: -0.009299 Loss_D_real: -0.010706 Loss_D_fake 0.007639
[1274/5000][515/535][131489] Loss_D: -0.019614 Loss_G: -0.000774 Loss_D_real: -0.009048 Loss_D_fake 0.010566
[1274/5000][520/535][131490] Loss_D: -0.019232 Loss_G: -0.001610 Loss_D_real: -0.005067 Loss_D_fake 0.014164
[1274/5000][525/535][131491] Loss_D: -0.018662 Loss_G: 0.011689 Loss_D_real: -0.031407 Loss_D_fake -0.012745
[1274/5000][530/535][131492] Loss_D: -0.019436 Loss_G: 0.012633 Loss_D_real: -0.022281 Loss_D_fake -0.002845
[1274/5000][535/535][131493] Loss_D: -0.018064 Loss_G: 0.007217 Loss_D_real: -0.007558 Loss_D_fake 0.010506
[1275/5000][5/535][131494] Loss_D: -0.019475 Loss_G: 0.005482 Loss_D_real: -0.028302 Loss_D_fake -0.008827
[1275/5000][10/535][131495] Loss_D: -0.020421 Loss_G: 0.012751 Loss_D_real: -0.019489 Loss_D_fake 0.000932
[1275/5000][15/535][131496] Loss_D: -0.018599 Loss_G: 0.000614 Loss_D_real: -0.003995 Loss_D_fake 0.014603
[1275/5000][20/535][131497] Loss_D: -0.018998 Loss_G: 0.001304 Loss_D_real: -0.022272 Loss_D_fake -0.003274
[1275/5000][25/535][131498] Loss_D: -0.019273 Loss_G: 0.011254 Loss_D_real: -0.026279 Loss_D_fake -0.007007
[1275/5000][30/535][131499] Loss_D: -0.020514 Loss_G: -0.018045 Loss_D_real: -0.007732 Loss_D_fake 0.012782
[1275/5000][35/535][131500] Loss_D: -0.020470 Loss_G: 0.014522 Loss_D_real: -0.029885 Loss_D_fake -0.009415
[1275/5000][135/535][131501] Loss_D: -0.023057 Loss_G: 0.005329 Loss_D_real: -0.014708 Loss_D_fake 0.008348
[1275/5000][140/535][131502] Loss_D: -0.019205 Loss_G: -0.013999 Loss_D_real: -0.007119 Loss_D_fake 0.012086
[1275/5000][145/535][131503] Loss_D: -0.018426 Loss_G: -0.011251 Loss_D_real: -0.007387 Loss_D_fake 0.011039
[1275/5000][150/535][131504] Loss_D: -0.018803 Loss_G: 0.018811 Loss_D_real: -0.015868 Loss_D_fake 0.002935
[1275/5000][155/535][131505] Loss_D: -0.018537 Loss_G: 0.011808 Loss_D_real: -0.018907 Loss_D_fake -0.000370
[1275/5000][160/535][131506] Loss_D: -0.019795 Loss_G: 0.005877 Loss_D_real: -0.023871 Loss_D_fake -0.004076
[1275/5000][165/535][131507] Loss_D: -0.018310 Loss_G: 0.013607 Loss_D_real: -0.023063 Loss_D_fake -0.004753
[1275/5000][170/535][131508] Loss_D: -0.018993 Loss_G: 0.008102 Loss_D_real: -0.032076 Loss_D_fake -0.013083
[1275/5000][175/535][131509] Loss_D: -0.019398 Loss_G: 0.016622 Loss_D_real: -0.022233 Loss_D_fake -0.002835
[1275/5000][180/535][131510] Loss_D: -0.019803 Loss_G: 0.002592 Loss_D_real: -0.010017 Loss_D_fake 0.009786
[1275/5000][185/535][131511] Loss_D: -0.019920 Loss_G: -0.000419 Loss_D_real: -0.012148 Loss_D_fake 0.007771
[1275/5000][190/535][131512] Loss_D: -0.019919 Loss_G: 0.000001 Loss_D_real: -0.024828 Loss_D_fake -0.004909
[1275/5000][195/535][131513] Loss_D: -0.019871 Loss_G: -0.000033 Loss_D_real: 0.003036 Loss_D_fake 0.022906
[1275/5000][200/535][131514] Loss_D: -0.019508 Loss_G: 0.001138 Loss_D_real: -0.016969 Loss_D_fake 0.002539
[1275/5000][205/535][131515] Loss_D: -0.018743 Loss_G: 0.018847 Loss_D_real: -0.024733 Loss_D_fake -0.005990
[1275/5000][210/535][131516] Loss_D: -0.020125 Loss_G: 0.003192 Loss_D_real: -0.017721 Loss_D_fake 0.002404
[1275/5000][215/535][131517] Loss_D: -0.019814 Loss_G: 0.010096 Loss_D_real: -0.002807 Loss_D_fake 0.017007
[1275/5000][220/535][131518] Loss_D: -0.019703 Loss_G: -0.002302 Loss_D_real: -0.022854 Loss_D_fake -0.003151
[1275/5000][225/535][131519] Loss_D: -0.020256 Loss_G: -0.007863 Loss_D_real: -0.004128 Loss_D_fake 0.016128
[1275/5000][230/535][131520] Loss_D: -0.021743 Loss_G: 0.012796 Loss_D_real: -0.022558 Loss_D_fake -0.000815
[1275/5000][235/535][131521] Loss_D: -0.019336 Loss_G: 0.010329 Loss_D_real: -0.026512 Loss_D_fake -0.007176
[1275/5000][240/535][131522] Loss_D: -0.020012 Loss_G: -0.000678 Loss_D_real: -0.009296 Loss_D_fake 0.010716
[1275/5000][245/535][131523] Loss_D: -0.020135 Loss_G: 0.004225 Loss_D_real: -0.005287 Loss_D_fake 0.014848
[1275/5000][250/535][131524] Loss_D: -0.019982 Loss_G: 0.013673 Loss_D_real: -0.024854 Loss_D_fake -0.004872
[1275/5000][255/535][131525] Loss_D: -0.020059 Loss_G: 0.000964 Loss_D_real: -0.029161 Loss_D_fake -0.009101
[1275/5000][260/535][131526] Loss_D: -0.018465 Loss_G: 0.026428 Loss_D_real: -0.027655 Loss_D_fake -0.009190
[1275/5000][265/535][131527] Loss_D: -0.019582 Loss_G: 0.013886 Loss_D_real: -0.016913 Loss_D_fake 0.002668
[1275/5000][270/535][131528] Loss_D: -0.019077 Loss_G: 0.020993 Loss_D_real: -0.026481 Loss_D_fake -0.007404
[1275/5000][275/535][131529] Loss_D: -0.019841 Loss_G: 0.006348 Loss_D_real: -0.031715 Loss_D_fake -0.011874
[1275/5000][280/535][131530] Loss_D: -0.021030 Loss_G: -0.004708 Loss_D_real: -0.006270 Loss_D_fake 0.014760
[1275/5000][285/535][131531] Loss_D: -0.019413 Loss_G: 0.010979 Loss_D_real: -0.032185 Loss_D_fake -0.012771
[1275/5000][290/535][131532] Loss_D: -0.021093 Loss_G: 0.012925 Loss_D_real: -0.020005 Loss_D_fake 0.001087
[1275/5000][295/535][131533] Loss_D: -0.019537 Loss_G: -0.003035 Loss_D_real: -0.024729 Loss_D_fake -0.005192
[1275/5000][300/535][131534] Loss_D: -0.020289 Loss_G: 0.009379 Loss_D_real: 0.001690 Loss_D_fake 0.021979
[1275/5000][305/535][131535] Loss_D: -0.020305 Loss_G: -0.006291 Loss_D_real: -0.001338 Loss_D_fake 0.018967
[1275/5000][310/535][131536] Loss_D: -0.019393 Loss_G: 0.002254 Loss_D_real: -0.000467 Loss_D_fake 0.018926
[1275/5000][315/535][131537] Loss_D: -0.020817 Loss_G: 0.006402 Loss_D_real: -0.017149 Loss_D_fake 0.003669
[1275/5000][320/535][131538] Loss_D: -0.019991 Loss_G: 0.022734 Loss_D_real: -0.020918 Loss_D_fake -0.000927
[1275/5000][325/535][131539] Loss_D: -0.017709 Loss_G: 0.008210 Loss_D_real: -0.025145 Loss_D_fake -0.007435
[1275/5000][330/535][131540] Loss_D: -0.021096 Loss_G: -0.004329 Loss_D_real: -0.015070 Loss_D_fake 0.006026
[1275/5000][335/535][131541] Loss_D: -0.019705 Loss_G: 0.016069 Loss_D_real: -0.021623 Loss_D_fake -0.001918
[1275/5000][340/535][131542] Loss_D: -0.020918 Loss_G: 0.008908 Loss_D_real: -0.012193 Loss_D_fake 0.008725
[1275/5000][345/535][131543] Loss_D: -0.019290 Loss_G: 0.019112 Loss_D_real: -0.023959 Loss_D_fake -0.004669
[1275/5000][350/535][131544] Loss_D: -0.019937 Loss_G: 0.000277 Loss_D_real: -0.020871 Loss_D_fake -0.000934
[1275/5000][355/535][131545] Loss_D: -0.020916 Loss_G: 0.005602 Loss_D_real: -0.003610 Loss_D_fake 0.017306
[1275/5000][360/535][131546] Loss_D: -0.019842 Loss_G: 0.004100 Loss_D_real: -0.005665 Loss_D_fake 0.014176
[1275/5000][365/535][131547] Loss_D: -0.018888 Loss_G: 0.003446 Loss_D_real: -0.015863 Loss_D_fake 0.003024
[1275/5000][370/535][131548] Loss_D: -0.020216 Loss_G: 0.017559 Loss_D_real: -0.010146 Loss_D_fake 0.010069
[1275/5000][375/535][131549] Loss_D: -0.020692 Loss_G: 0.014075 Loss_D_real: -0.013951 Loss_D_fake 0.006741
[1275/5000][380/535][131550] Loss_D: -0.021304 Loss_G: 0.012297 Loss_D_real: -0.037492 Loss_D_fake -0.016188
[1275/5000][385/535][131551] Loss_D: -0.020048 Loss_G: 0.003600 Loss_D_real: -0.008807 Loss_D_fake 0.011241
[1275/5000][390/535][131552] Loss_D: -0.018808 Loss_G: -0.022111 Loss_D_real: -0.001858 Loss_D_fake 0.016950
[1275/5000][395/535][131553] Loss_D: -0.019218 Loss_G: 0.021972 Loss_D_real: -0.023345 Loss_D_fake -0.004127
[1275/5000][400/535][131554] Loss_D: -0.020142 Loss_G: 0.013097 Loss_D_real: -0.016766 Loss_D_fake 0.003376
[1275/5000][405/535][131555] Loss_D: -0.019473 Loss_G: 0.002226 Loss_D_real: -0.029318 Loss_D_fake -0.009845
[1275/5000][410/535][131556] Loss_D: -0.020523 Loss_G: 0.006429 Loss_D_real: -0.006267 Loss_D_fake 0.014256
[1275/5000][415/535][131557] Loss_D: -0.019543 Loss_G: 0.017826 Loss_D_real: -0.005813 Loss_D_fake 0.013730
[1275/5000][420/535][131558] Loss_D: -0.019010 Loss_G: 0.001067 Loss_D_real: 0.000380 Loss_D_fake 0.019389
[1275/5000][425/535][131559] Loss_D: -0.020499 Loss_G: 0.000031 Loss_D_real: -0.013520 Loss_D_fake 0.006979
[1275/5000][430/535][131560] Loss_D: -0.018159 Loss_G: 0.027070 Loss_D_real: -0.024344 Loss_D_fake -0.006186
[1275/5000][435/535][131561] Loss_D: -0.020542 Loss_G: -0.004988 Loss_D_real: -0.018827 Loss_D_fake 0.001714
[1275/5000][440/535][131562] Loss_D: -0.019497 Loss_G: 0.025032 Loss_D_real: -0.023419 Loss_D_fake -0.003922
[1275/5000][445/535][131563] Loss_D: -0.019809 Loss_G: -0.000689 Loss_D_real: -0.013311 Loss_D_fake 0.006498
[1275/5000][450/535][131564] Loss_D: -0.020008 Loss_G: 0.016808 Loss_D_real: -0.024830 Loss_D_fake -0.004822
[1275/5000][455/535][131565] Loss_D: -0.017746 Loss_G: 0.007413 Loss_D_real: -0.022941 Loss_D_fake -0.005195
[1275/5000][460/535][131566] Loss_D: -0.019684 Loss_G: -0.002513 Loss_D_real: -0.013037 Loss_D_fake 0.006647
[1275/5000][465/535][131567] Loss_D: -0.019747 Loss_G: 0.022485 Loss_D_real: -0.028691 Loss_D_fake -0.008945
[1275/5000][470/535][131568] Loss_D: -0.019179 Loss_G: -0.001584 Loss_D_real: -0.015869 Loss_D_fake 0.003309
[1275/5000][475/535][131569] Loss_D: -0.021206 Loss_G: 0.006375 Loss_D_real: -0.018340 Loss_D_fake 0.002866
[1275/5000][480/535][131570] Loss_D: -0.020210 Loss_G: 0.004742 Loss_D_real: -0.011500 Loss_D_fake 0.008710
[1275/5000][485/535][131571] Loss_D: -0.019793 Loss_G: -0.020161 Loss_D_real: -0.004650 Loss_D_fake 0.015143
[1275/5000][490/535][131572] Loss_D: -0.019975 Loss_G: 0.000179 Loss_D_real: 0.003035 Loss_D_fake 0.023010
[1275/5000][495/535][131573] Loss_D: -0.019486 Loss_G: -0.002448 Loss_D_real: -0.006348 Loss_D_fake 0.013137
[1275/5000][500/535][131574] Loss_D: -0.020666 Loss_G: -0.005494 Loss_D_real: -0.004334 Loss_D_fake 0.016332
[1275/5000][505/535][131575] Loss_D: -0.020194 Loss_G: -0.007344 Loss_D_real: -0.007193 Loss_D_fake 0.013000
[1275/5000][510/535][131576] Loss_D: -0.019442 Loss_G: -0.006675 Loss_D_real: -0.005911 Loss_D_fake 0.013532
[1275/5000][515/535][131577] Loss_D: -0.020085 Loss_G: 0.017316 Loss_D_real: -0.015734 Loss_D_fake 0.004351
[1275/5000][520/535][131578] Loss_D: -0.019901 Loss_G: 0.000604 Loss_D_real: -0.017941 Loss_D_fake 0.001960
[1275/5000][525/535][131579] Loss_D: -0.019034 Loss_G: 0.015373 Loss_D_real: -0.032444 Loss_D_fake -0.013410
[1275/5000][530/535][131580] Loss_D: -0.019700 Loss_G: 0.013005 Loss_D_real: -0.019847 Loss_D_fake -0.000147
[1275/5000][535/535][131581] Loss_D: -0.018764 Loss_G: 0.031733 Loss_D_real: -0.005758 Loss_D_fake 0.013007
[1276/5000][5/535][131582] Loss_D: -0.021285 Loss_G: 0.006491 Loss_D_real: -0.017738 Loss_D_fake 0.003546
[1276/5000][10/535][131583] Loss_D: -0.018767 Loss_G: 0.020043 Loss_D_real: -0.021962 Loss_D_fake -0.003196
[1276/5000][15/535][131584] Loss_D: -0.019970 Loss_G: -0.004931 Loss_D_real: 0.000040 Loss_D_fake 0.020010
[1276/5000][20/535][131585] Loss_D: -0.019395 Loss_G: 0.008981 Loss_D_real: -0.023294 Loss_D_fake -0.003899
[1276/5000][25/535][131586] Loss_D: -0.019804 Loss_G: -0.013077 Loss_D_real: -0.007259 Loss_D_fake 0.012544
[1276/5000][30/535][131587] Loss_D: -0.019448 Loss_G: 0.011749 Loss_D_real: -0.027711 Loss_D_fake -0.008264
[1276/5000][35/535][131588] Loss_D: -0.019483 Loss_G: 0.009271 Loss_D_real: -0.030003 Loss_D_fake -0.010520
[1276/5000][40/535][131589] Loss_D: -0.019544 Loss_G: -0.000440 Loss_D_real: -0.015538 Loss_D_fake 0.004006
[1276/5000][45/535][131590] Loss_D: -0.019822 Loss_G: 0.019826 Loss_D_real: -0.015956 Loss_D_fake 0.003866
[1276/5000][50/535][131591] Loss_D: -0.020374 Loss_G: 0.001813 Loss_D_real: -0.015212 Loss_D_fake 0.005163
[1276/5000][55/535][131592] Loss_D: -0.020488 Loss_G: 0.007413 Loss_D_real: -0.026488 Loss_D_fake -0.006000
[1276/5000][60/535][131593] Loss_D: -0.018788 Loss_G: 0.012908 Loss_D_real: -0.010337 Loss_D_fake 0.008450
[1276/5000][65/535][131594] Loss_D: -0.018897 Loss_G: -0.004677 Loss_D_real: -0.005530 Loss_D_fake 0.013367
[1276/5000][70/535][131595] Loss_D: -0.020327 Loss_G: 0.012211 Loss_D_real: -0.022458 Loss_D_fake -0.002131
[1276/5000][75/535][131596] Loss_D: -0.020367 Loss_G: 0.002660 Loss_D_real: -0.027452 Loss_D_fake -0.007086
[1276/5000][80/535][131597] Loss_D: -0.019845 Loss_G: -0.007212 Loss_D_real: 0.006075 Loss_D_fake 0.025920
[1276/5000][85/535][131598] Loss_D: -0.020198 Loss_G: 0.003216 Loss_D_real: -0.013590 Loss_D_fake 0.006608
[1276/5000][90/535][131599] Loss_D: -0.020730 Loss_G: 0.016209 Loss_D_real: -0.022053 Loss_D_fake -0.001323
[1276/5000][95/535][131600] Loss_D: -0.018714 Loss_G: 0.010273 Loss_D_real: -0.026465 Loss_D_fake -0.007751
[1276/5000][100/535][131601] Loss_D: -0.020170 Loss_G: 0.016404 Loss_D_real: -0.022844 Loss_D_fake -0.002674
[1276/5000][105/535][131602] Loss_D: -0.020653 Loss_G: 0.013229 Loss_D_real: -0.013131 Loss_D_fake 0.007521
[1276/5000][110/535][131603] Loss_D: -0.019886 Loss_G: 0.016834 Loss_D_real: -0.031605 Loss_D_fake -0.011719
[1276/5000][115/535][131604] Loss_D: -0.019417 Loss_G: 0.018215 Loss_D_real: -0.018984 Loss_D_fake 0.000434
[1276/5000][120/535][131605] Loss_D: -0.019506 Loss_G: 0.011556 Loss_D_real: -0.016263 Loss_D_fake 0.003243
[1276/5000][125/535][131606] Loss_D: -0.019653 Loss_G: 0.007799 Loss_D_real: -0.028233 Loss_D_fake -0.008580
[1276/5000][130/535][131607] Loss_D: -0.020641 Loss_G: 0.001551 Loss_D_real: -0.012055 Loss_D_fake 0.008586
[1276/5000][135/535][131608] Loss_D: -0.019053 Loss_G: 0.010791 Loss_D_real: -0.021787 Loss_D_fake -0.002733
[1276/5000][140/535][131609] Loss_D: -0.020605 Loss_G: 0.006900 Loss_D_real: -0.022352 Loss_D_fake -0.001747
[1276/5000][145/535][131610] Loss_D: -0.021447 Loss_G: -0.002540 Loss_D_real: -0.010880 Loss_D_fake 0.010567
[1276/5000][150/535][131611] Loss_D: -0.020794 Loss_G: -0.003286 Loss_D_real: -0.011247 Loss_D_fake 0.009548
[1276/5000][155/535][131612] Loss_D: -0.019904 Loss_G: 0.013602 Loss_D_real: -0.027148 Loss_D_fake -0.007243
[1276/5000][160/535][131613] Loss_D: -0.019653 Loss_G: -0.007074 Loss_D_real: -0.017223 Loss_D_fake 0.002431
[1276/5000][165/535][131614] Loss_D: -0.019770 Loss_G: -0.016992 Loss_D_real: 0.004854 Loss_D_fake 0.024624
[1276/5000][170/535][131615] Loss_D: -0.019658 Loss_G: -0.000380 Loss_D_real: -0.013253 Loss_D_fake 0.006405
[1276/5000][175/535][131616] Loss_D: -0.020481 Loss_G: 0.021680 Loss_D_real: -0.013500 Loss_D_fake 0.006981
[1276/5000][180/535][131617] Loss_D: -0.021790 Loss_G: 0.004114 Loss_D_real: -0.006436 Loss_D_fake 0.015354
[1276/5000][185/535][131618] Loss_D: -0.020959 Loss_G: 0.012247 Loss_D_real: -0.023053 Loss_D_fake -0.002093
[1276/5000][190/535][131619] Loss_D: -0.020446 Loss_G: 0.003226 Loss_D_real: -0.012957 Loss_D_fake 0.007489
[1276/5000][195/535][131620] Loss_D: -0.020033 Loss_G: -0.002747 Loss_D_real: -0.011624 Loss_D_fake 0.008410
[1276/5000][200/535][131621] Loss_D: -0.019868 Loss_G: -0.007910 Loss_D_real: -0.018891 Loss_D_fake 0.000978
[1276/5000][205/535][131622] Loss_D: -0.019262 Loss_G: -0.010358 Loss_D_real: -0.004370 Loss_D_fake 0.014892
[1276/5000][210/535][131623] Loss_D: -0.020319 Loss_G: 0.005883 Loss_D_real: -0.021310 Loss_D_fake -0.000991
[1276/5000][215/535][131624] Loss_D: -0.019780 Loss_G: 0.003251 Loss_D_real: -0.013464 Loss_D_fake 0.006316
[1276/5000][220/535][131625] Loss_D: -0.020418 Loss_G: -0.003125 Loss_D_real: -0.016260 Loss_D_fake 0.004158
[1276/5000][225/535][131626] Loss_D: -0.018877 Loss_G: -0.003771 Loss_D_real: 0.002581 Loss_D_fake 0.021459
[1276/5000][230/535][131627] Loss_D: -0.017814 Loss_G: -0.009431 Loss_D_real: -0.007168 Loss_D_fake 0.010645
[1276/5000][235/535][131628] Loss_D: -0.020289 Loss_G: -0.004663 Loss_D_real: -0.011119 Loss_D_fake 0.009170
[1276/5000][240/535][131629] Loss_D: -0.019120 Loss_G: -0.001591 Loss_D_real: -0.010959 Loss_D_fake 0.008160
[1276/5000][245/535][131630] Loss_D: -0.018795 Loss_G: 0.017462 Loss_D_real: -0.027106 Loss_D_fake -0.008311
[1276/5000][250/535][131631] Loss_D: -0.020291 Loss_G: 0.006384 Loss_D_real: -0.016967 Loss_D_fake 0.003324
[1276/5000][255/535][131632] Loss_D: -0.020441 Loss_G: 0.019719 Loss_D_real: -0.023224 Loss_D_fake -0.002784
[1276/5000][260/535][131633] Loss_D: -0.021626 Loss_G: -0.004584 Loss_D_real: -0.007520 Loss_D_fake 0.014106
[1276/5000][265/535][131634] Loss_D: -0.020395 Loss_G: -0.007495 Loss_D_real: 0.000924 Loss_D_fake 0.021318
[1276/5000][270/535][131635] Loss_D: -0.020490 Loss_G: 0.007272 Loss_D_real: -0.028888 Loss_D_fake -0.008398
[1276/5000][275/535][131636] Loss_D: -0.019620 Loss_G: -0.015140 Loss_D_real: -0.007093 Loss_D_fake 0.012528
[1276/5000][280/535][131637] Loss_D: -0.020521 Loss_G: 0.012705 Loss_D_real: -0.021893 Loss_D_fake -0.001373
[1276/5000][285/535][131638] Loss_D: -0.020852 Loss_G: 0.012612 Loss_D_real: -0.026237 Loss_D_fake -0.005385
[1276/5000][290/535][131639] Loss_D: -0.019421 Loss_G: 0.018838 Loss_D_real: -0.017260 Loss_D_fake 0.002161
[1276/5000][295/535][131640] Loss_D: -0.020490 Loss_G: 0.011054 Loss_D_real: -0.017411 Loss_D_fake 0.003078
[1276/5000][300/535][131641] Loss_D: -0.020141 Loss_G: -0.000212 Loss_D_real: -0.008392 Loss_D_fake 0.011750
[1276/5000][305/535][131642] Loss_D: -0.019799 Loss_G: 0.005544 Loss_D_real: -0.023367 Loss_D_fake -0.003568
[1276/5000][310/535][131643] Loss_D: -0.019584 Loss_G: -0.004436 Loss_D_real: -0.014068 Loss_D_fake 0.005516
[1276/5000][315/535][131644] Loss_D: -0.018776 Loss_G: -0.008071 Loss_D_real: -0.031088 Loss_D_fake -0.012312
[1276/5000][320/535][131645] Loss_D: -0.017974 Loss_G: 0.025571 Loss_D_real: -0.030596 Loss_D_fake -0.012622
[1276/5000][325/535][131646] Loss_D: -0.019586 Loss_G: 0.021003 Loss_D_real: -0.029148 Loss_D_fake -0.009562
[1276/5000][330/535][131647] Loss_D: -0.020216 Loss_G: -0.001459 Loss_D_real: -0.011645 Loss_D_fake 0.008571
[1276/5000][335/535][131648] Loss_D: -0.020222 Loss_G: -0.005416 Loss_D_real: -0.002721 Loss_D_fake 0.017501
[1276/5000][340/535][131649] Loss_D: -0.020110 Loss_G: 0.020427 Loss_D_real: -0.023185 Loss_D_fake -0.003075
[1276/5000][345/535][131650] Loss_D: -0.020700 Loss_G: 0.000707 Loss_D_real: -0.005227 Loss_D_fake 0.015473
[1276/5000][350/535][131651] Loss_D: -0.020022 Loss_G: 0.012464 Loss_D_real: -0.005090 Loss_D_fake 0.014932
[1276/5000][355/535][131652] Loss_D: -0.020030 Loss_G: 0.022169 Loss_D_real: -0.032441 Loss_D_fake -0.012411
[1276/5000][360/535][131653] Loss_D: -0.021294 Loss_G: 0.004950 Loss_D_real: -0.016658 Loss_D_fake 0.004636
[1276/5000][365/535][131654] Loss_D: -0.018911 Loss_G: -0.018058 Loss_D_real: -0.014153 Loss_D_fake 0.004758
[1276/5000][370/535][131655] Loss_D: -0.020384 Loss_G: 0.021395 Loss_D_real: -0.018892 Loss_D_fake 0.001492
[1276/5000][375/535][131656] Loss_D: -0.021708 Loss_G: 0.016855 Loss_D_real: -0.010075 Loss_D_fake 0.011633
[1276/5000][380/535][131657] Loss_D: -0.021006 Loss_G: 0.008867 Loss_D_real: -0.019529 Loss_D_fake 0.001477
[1276/5000][385/535][131658] Loss_D: -0.018838 Loss_G: -0.002867 Loss_D_real: -0.008178 Loss_D_fake 0.010660
[1276/5000][390/535][131659] Loss_D: -0.019228 Loss_G: -0.003769 Loss_D_real: -0.010082 Loss_D_fake 0.009146
[1276/5000][395/535][131660] Loss_D: -0.019471 Loss_G: 0.009904 Loss_D_real: -0.018843 Loss_D_fake 0.000628
[1276/5000][400/535][131661] Loss_D: -0.018093 Loss_G: 0.012685 Loss_D_real: -0.025198 Loss_D_fake -0.007105
[1276/5000][405/535][131662] Loss_D: -0.019128 Loss_G: -0.009077 Loss_D_real: 0.002875 Loss_D_fake 0.022003
[1276/5000][410/535][131663] Loss_D: -0.018661 Loss_G: 0.015549 Loss_D_real: -0.018106 Loss_D_fake 0.000556
[1276/5000][415/535][131664] Loss_D: -0.020093 Loss_G: 0.004419 Loss_D_real: -0.009933 Loss_D_fake 0.010160
[1276/5000][420/535][131665] Loss_D: -0.018128 Loss_G: -0.000963 Loss_D_real: -0.000425 Loss_D_fake 0.017703
[1276/5000][425/535][131666] Loss_D: -0.018583 Loss_G: 0.014726 Loss_D_real: -0.016436 Loss_D_fake 0.002147
[1276/5000][430/535][131667] Loss_D: -0.021054 Loss_G: 0.025256 Loss_D_real: -0.018255 Loss_D_fake 0.002798
[1276/5000][435/535][131668] Loss_D: -0.020234 Loss_G: 0.011105 Loss_D_real: -0.020062 Loss_D_fake 0.000172
[1276/5000][440/535][131669] Loss_D: -0.020897 Loss_G: 0.017022 Loss_D_real: -0.011848 Loss_D_fake 0.009049
[1276/5000][445/535][131670] Loss_D: -0.019946 Loss_G: -0.007234 Loss_D_real: 0.000589 Loss_D_fake 0.020535
[1276/5000][450/535][131671] Loss_D: -0.022659 Loss_G: 0.004145 Loss_D_real: -0.020305 Loss_D_fake 0.002354
[1276/5000][455/535][131672] Loss_D: -0.020488 Loss_G: 0.002061 Loss_D_real: -0.017835 Loss_D_fake 0.002652
[1276/5000][460/535][131673] Loss_D: -0.019747 Loss_G: 0.019339 Loss_D_real: -0.019793 Loss_D_fake -0.000046
[1276/5000][465/535][131674] Loss_D: -0.021345 Loss_G: 0.019743 Loss_D_real: -0.024785 Loss_D_fake -0.003440
[1276/5000][470/535][131675] Loss_D: -0.021066 Loss_G: -0.008203 Loss_D_real: -0.001104 Loss_D_fake 0.019962
[1276/5000][475/535][131676] Loss_D: -0.020960 Loss_G: 0.006944 Loss_D_real: -0.012593 Loss_D_fake 0.008367
[1276/5000][480/535][131677] Loss_D: -0.018938 Loss_G: 0.023426 Loss_D_real: -0.026496 Loss_D_fake -0.007558
[1276/5000][485/535][131678] Loss_D: -0.020738 Loss_G: 0.012044 Loss_D_real: -0.011194 Loss_D_fake 0.009544
[1276/5000][490/535][131679] Loss_D: -0.020605 Loss_G: 0.016594 Loss_D_real: -0.024076 Loss_D_fake -0.003471
[1276/5000][495/535][131680] Loss_D: -0.019561 Loss_G: -0.003473 Loss_D_real: -0.015286 Loss_D_fake 0.004274
[1276/5000][500/535][131681] Loss_D: -0.018475 Loss_G: 0.023127 Loss_D_real: -0.034002 Loss_D_fake -0.015526
[1276/5000][505/535][131682] Loss_D: -0.017703 Loss_G: -0.019988 Loss_D_real: -0.002439 Loss_D_fake 0.015264
[1276/5000][510/535][131683] Loss_D: -0.020485 Loss_G: 0.013563 Loss_D_real: -0.018482 Loss_D_fake 0.002004
[1276/5000][515/535][131684] Loss_D: -0.020833 Loss_G: -0.001358 Loss_D_real: -0.023162 Loss_D_fake -0.002328
[1276/5000][520/535][131685] Loss_D: -0.021997 Loss_G: 0.006315 Loss_D_real: -0.016946 Loss_D_fake 0.005052
[1276/5000][525/535][131686] Loss_D: -0.020660 Loss_G: 0.000271 Loss_D_real: 0.001268 Loss_D_fake 0.021929
[1276/5000][530/535][131687] Loss_D: -0.019055 Loss_G: 0.005480 Loss_D_real: -0.022244 Loss_D_fake -0.003189
[1276/5000][535/535][131688] Loss_D: -0.017945 Loss_G: 0.002549 Loss_D_real: -0.018066 Loss_D_fake -0.000122
[1277/5000][5/535][131689] Loss_D: -0.020885 Loss_G: 0.011665 Loss_D_real: -0.007485 Loss_D_fake 0.013401
[1277/5000][10/535][131690] Loss_D: -0.020040 Loss_G: 0.016585 Loss_D_real: -0.014407 Loss_D_fake 0.005633
[1277/5000][15/535][131691] Loss_D: -0.020116 Loss_G: -0.015401 Loss_D_real: -0.006171 Loss_D_fake 0.013946
[1277/5000][20/535][131692] Loss_D: -0.019395 Loss_G: 0.014857 Loss_D_real: -0.018934 Loss_D_fake 0.000461
[1277/5000][25/535][131693] Loss_D: -0.019343 Loss_G: -0.023429 Loss_D_real: -0.004031 Loss_D_fake 0.015313
[1277/5000][30/535][131694] Loss_D: -0.018752 Loss_G: 0.010754 Loss_D_real: -0.019106 Loss_D_fake -0.000354
[1277/5000][35/535][131695] Loss_D: -0.019847 Loss_G: 0.013641 Loss_D_real: -0.022616 Loss_D_fake -0.002769
[1277/5000][40/535][131696] Loss_D: -0.020785 Loss_G: -0.002376 Loss_D_real: -0.013908 Loss_D_fake 0.006877
[1277/5000][45/535][131697] Loss_D: -0.019735 Loss_G: 0.017477 Loss_D_real: -0.013408 Loss_D_fake 0.006327
[1277/5000][50/535][131698] Loss_D: -0.020888 Loss_G: 0.024029 Loss_D_real: -0.023688 Loss_D_fake -0.002800
[1277/5000][55/535][131699] Loss_D: -0.018222 Loss_G: 0.016200 Loss_D_real: -0.026851 Loss_D_fake -0.008630
[1277/5000][60/535][131700] Loss_D: -0.018638 Loss_G: 0.013431 Loss_D_real: -0.028278 Loss_D_fake -0.009640
[1277/5000][65/535][131701] Loss_D: -0.020238 Loss_G: 0.005483 Loss_D_real: -0.015599 Loss_D_fake 0.004638
[1277/5000][70/535][131702] Loss_D: -0.019860 Loss_G: 0.018095 Loss_D_real: -0.015042 Loss_D_fake 0.004818
[1277/5000][75/535][131703] Loss_D: -0.020870 Loss_G: 0.001393 Loss_D_real: -0.019468 Loss_D_fake 0.001401
[1277/5000][80/535][131704] Loss_D: -0.020456 Loss_G: 0.018871 Loss_D_real: -0.026907 Loss_D_fake -0.006452
[1277/5000][85/535][131705] Loss_D: -0.019001 Loss_G: -0.027540 Loss_D_real: -0.003841 Loss_D_fake 0.015161
[1277/5000][90/535][131706] Loss_D: -0.018930 Loss_G: -0.005244 Loss_D_real: -0.010714 Loss_D_fake 0.008217
[1277/5000][95/535][131707] Loss_D: -0.019359 Loss_G: -0.001512 Loss_D_real: 0.002852 Loss_D_fake 0.022211
[1277/5000][100/535][131708] Loss_D: -0.020783 Loss_G: 0.000004 Loss_D_real: -0.018048 Loss_D_fake 0.002735
[1277/5000][105/535][131709] Loss_D: -0.018811 Loss_G: 0.023065 Loss_D_real: -0.028547 Loss_D_fake -0.009737
[1277/5000][110/535][131710] Loss_D: -0.020205 Loss_G: -0.009056 Loss_D_real: -0.003901 Loss_D_fake 0.016305
[1277/5000][115/535][131711] Loss_D: -0.020510 Loss_G: 0.000231 Loss_D_real: -0.010391 Loss_D_fake 0.010119
[1277/5000][120/535][131712] Loss_D: -0.019881 Loss_G: -0.007138 Loss_D_real: -0.010904 Loss_D_fake 0.008977
[1277/5000][125/535][131713] Loss_D: -0.018742 Loss_G: -0.012417 Loss_D_real: -0.000421 Loss_D_fake 0.018321
[1277/5000][130/535][131714] Loss_D: -0.020401 Loss_G: 0.008187 Loss_D_real: -0.008375 Loss_D_fake 0.012026
[1277/5000][135/535][131715] Loss_D: -0.020169 Loss_G: 0.019290 Loss_D_real: -0.025462 Loss_D_fake -0.005293
[1277/5000][140/535][131716] Loss_D: -0.021027 Loss_G: 0.007330 Loss_D_real: -0.012101 Loss_D_fake 0.008926
[1277/5000][145/535][131717] Loss_D: -0.019947 Loss_G: 0.006740 Loss_D_real: -0.017746 Loss_D_fake 0.002201
[1277/5000][150/535][131718] Loss_D: -0.019104 Loss_G: 0.020553 Loss_D_real: -0.024788 Loss_D_fake -0.005683
[1277/5000][155/535][131719] Loss_D: -0.019533 Loss_G: 0.011717 Loss_D_real: -0.029731 Loss_D_fake -0.010198
[1277/5000][160/535][131720] Loss_D: -0.022294 Loss_G: -0.000510 Loss_D_real: -0.015847 Loss_D_fake 0.006447
[1277/5000][165/535][131721] Loss_D: -0.019746 Loss_G: 0.022290 Loss_D_real: -0.031974 Loss_D_fake -0.012228
[1277/5000][170/535][131722] Loss_D: -0.020118 Loss_G: -0.008275 Loss_D_real: -0.007021 Loss_D_fake 0.013097
[1277/5000][175/535][131723] Loss_D: -0.021077 Loss_G: 0.013789 Loss_D_real: -0.022866 Loss_D_fake -0.001790
[1277/5000][180/535][131724] Loss_D: -0.022169 Loss_G: 0.014531 Loss_D_real: -0.009705 Loss_D_fake 0.012464
[1277/5000][185/535][131725] Loss_D: -0.020889 Loss_G: 0.008201 Loss_D_real: -0.026691 Loss_D_fake -0.005802
[1277/5000][190/535][131726] Loss_D: -0.019612 Loss_G: -0.002938 Loss_D_real: -0.018341 Loss_D_fake 0.001271
[1277/5000][195/535][131727] Loss_D: -0.018686 Loss_G: 0.006599 Loss_D_real: -0.022264 Loss_D_fake -0.003579
[1277/5000][200/535][131728] Loss_D: -0.019884 Loss_G: -0.012228 Loss_D_real: -0.005973 Loss_D_fake 0.013910
[1277/5000][205/535][131729] Loss_D: -0.020105 Loss_G: 0.014728 Loss_D_real: -0.022715 Loss_D_fake -0.002610
[1277/5000][210/535][131730] Loss_D: -0.020852 Loss_G: 0.010176 Loss_D_real: -0.020606 Loss_D_fake 0.000246
[1277/5000][215/535][131731] Loss_D: -0.019500 Loss_G: 0.024217 Loss_D_real: -0.027710 Loss_D_fake -0.008210
[1277/5000][220/535][131732] Loss_D: -0.018642 Loss_G: 0.013253 Loss_D_real: -0.013180 Loss_D_fake 0.005462
[1277/5000][225/535][131733] Loss_D: -0.019937 Loss_G: 0.003872 Loss_D_real: -0.022470 Loss_D_fake -0.002532
[1277/5000][230/535][131734] Loss_D: -0.020542 Loss_G: -0.006157 Loss_D_real: -0.011166 Loss_D_fake 0.009376
[1277/5000][235/535][131735] Loss_D: -0.020489 Loss_G: 0.012962 Loss_D_real: -0.021515 Loss_D_fake -0.001026
[1277/5000][240/535][131736] Loss_D: -0.019265 Loss_G: -0.007572 Loss_D_real: -0.001739 Loss_D_fake 0.017526
[1277/5000][245/535][131737] Loss_D: -0.020347 Loss_G: 0.019046 Loss_D_real: -0.017789 Loss_D_fake 0.002557
[1277/5000][250/535][131738] Loss_D: -0.020145 Loss_G: 0.001792 Loss_D_real: -0.013499 Loss_D_fake 0.006646
[1277/5000][255/535][131739] Loss_D: -0.020004 Loss_G: 0.021680 Loss_D_real: -0.028182 Loss_D_fake -0.008179
[1277/5000][260/535][131740] Loss_D: -0.021007 Loss_G: 0.002829 Loss_D_real: -0.017163 Loss_D_fake 0.003844
[1277/5000][265/535][131741] Loss_D: -0.020583 Loss_G: 0.008903 Loss_D_real: -0.025558 Loss_D_fake -0.004974
[1277/5000][270/535][131742] Loss_D: -0.021382 Loss_G: -0.007805 Loss_D_real: -0.010180 Loss_D_fake 0.011202
[1277/5000][275/535][131743] Loss_D: -0.020161 Loss_G: 0.004371 Loss_D_real: -0.009846 Loss_D_fake 0.010315
[1277/5000][280/535][131744] Loss_D: -0.019985 Loss_G: -0.002610 Loss_D_real: -0.024640 Loss_D_fake -0.004655
[1277/5000][285/535][131745] Loss_D: -0.019826 Loss_G: 0.003209 Loss_D_real: -0.009717 Loss_D_fake 0.010109
[1277/5000][290/535][131746] Loss_D: -0.019726 Loss_G: 0.002379 Loss_D_real: -0.013937 Loss_D_fake 0.005789
[1277/5000][295/535][131747] Loss_D: -0.019405 Loss_G: 0.022746 Loss_D_real: -0.035155 Loss_D_fake -0.015750
[1277/5000][300/535][131748] Loss_D: -0.020045 Loss_G: 0.018299 Loss_D_real: -0.027355 Loss_D_fake -0.007310
[1277/5000][305/535][131749] Loss_D: -0.020068 Loss_G: 0.010539 Loss_D_real: -0.014182 Loss_D_fake 0.005886
[1277/5000][310/535][131750] Loss_D: -0.020047 Loss_G: 0.019236 Loss_D_real: -0.017495 Loss_D_fake 0.002552
[1277/5000][315/535][131751] Loss_D: -0.018844 Loss_G: -0.014620 Loss_D_real: -0.011577 Loss_D_fake 0.007267
[1277/5000][320/535][131752] Loss_D: -0.019391 Loss_G: -0.008681 Loss_D_real: -0.010282 Loss_D_fake 0.009109
[1277/5000][325/535][131753] Loss_D: -0.018393 Loss_G: 0.017556 Loss_D_real: -0.027118 Loss_D_fake -0.008725
[1277/5000][330/535][131754] Loss_D: -0.018882 Loss_G: 0.004463 Loss_D_real: 0.004998 Loss_D_fake 0.023880
[1277/5000][335/535][131755] Loss_D: -0.019335 Loss_G: -0.010081 Loss_D_real: -0.005308 Loss_D_fake 0.014027
[1277/5000][340/535][131756] Loss_D: -0.018782 Loss_G: 0.014065 Loss_D_real: -0.021243 Loss_D_fake -0.002461
[1277/5000][345/535][131757] Loss_D: -0.018099 Loss_G: 0.022087 Loss_D_real: -0.024429 Loss_D_fake -0.006330
[1277/5000][350/535][131758] Loss_D: -0.019037 Loss_G: 0.011715 Loss_D_real: -0.030023 Loss_D_fake -0.010985
[1277/5000][355/535][131759] Loss_D: -0.020037 Loss_G: 0.009427 Loss_D_real: -0.020123 Loss_D_fake -0.000085
[1277/5000][360/535][131760] Loss_D: -0.020992 Loss_G: 0.020310 Loss_D_real: -0.014016 Loss_D_fake 0.006977
[1277/5000][365/535][131761] Loss_D: -0.020478 Loss_G: 0.001142 Loss_D_real: -0.002519 Loss_D_fake 0.017958
[1277/5000][370/535][131762] Loss_D: -0.020303 Loss_G: -0.003605 Loss_D_real: -0.007222 Loss_D_fake 0.013081
[1277/5000][375/535][131763] Loss_D: -0.019926 Loss_G: 0.028404 Loss_D_real: -0.022614 Loss_D_fake -0.002688
[1277/5000][380/535][131764] Loss_D: -0.020068 Loss_G: 0.004797 Loss_D_real: -0.016740 Loss_D_fake 0.003328
[1277/5000][385/535][131765] Loss_D: -0.019823 Loss_G: 0.011477 Loss_D_real: -0.032021 Loss_D_fake -0.012198
[1277/5000][390/535][131766] Loss_D: -0.020905 Loss_G: -0.001979 Loss_D_real: -0.000367 Loss_D_fake 0.020538
[1277/5000][395/535][131767] Loss_D: -0.021059 Loss_G: 0.013196 Loss_D_real: -0.031131 Loss_D_fake -0.010072
[1277/5000][400/535][131768] Loss_D: -0.019650 Loss_G: 0.025178 Loss_D_real: -0.025086 Loss_D_fake -0.005436
[1277/5000][405/535][131769] Loss_D: -0.019988 Loss_G: -0.002702 Loss_D_real: -0.001558 Loss_D_fake 0.018430
[1277/5000][410/535][131770] Loss_D: -0.020348 Loss_G: 0.015125 Loss_D_real: -0.011877 Loss_D_fake 0.008470
[1277/5000][415/535][131771] Loss_D: -0.020362 Loss_G: 0.009119 Loss_D_real: -0.013722 Loss_D_fake 0.006640
[1277/5000][420/535][131772] Loss_D: -0.020325 Loss_G: 0.000523 Loss_D_real: -0.017780 Loss_D_fake 0.002545
[1277/5000][425/535][131773] Loss_D: -0.018821 Loss_G: 0.003960 Loss_D_real: -0.007043 Loss_D_fake 0.011778
[1277/5000][430/535][131774] Loss_D: -0.019597 Loss_G: -0.000976 Loss_D_real: 0.000581 Loss_D_fake 0.020178
[1277/5000][435/535][131775] Loss_D: -0.019310 Loss_G: 0.008863 Loss_D_real: -0.022382 Loss_D_fake -0.003072
[1277/5000][440/535][131776] Loss_D: -0.019411 Loss_G: -0.012799 Loss_D_real: -0.012519 Loss_D_fake 0.006892
[1277/5000][445/535][131777] Loss_D: -0.020987 Loss_G: 0.012688 Loss_D_real: -0.007777 Loss_D_fake 0.013210
[1277/5000][450/535][131778] Loss_D: -0.020084 Loss_G: 0.009225 Loss_D_real: -0.027378 Loss_D_fake -0.007294
[1277/5000][455/535][131779] Loss_D: -0.018805 Loss_G: -0.004212 Loss_D_real: -0.007278 Loss_D_fake 0.011527
[1277/5000][460/535][131780] Loss_D: -0.019189 Loss_G: 0.022226 Loss_D_real: -0.024456 Loss_D_fake -0.005266
[1277/5000][465/535][131781] Loss_D: -0.019928 Loss_G: -0.002986 Loss_D_real: -0.011398 Loss_D_fake 0.008530
[1277/5000][470/535][131782] Loss_D: -0.018844 Loss_G: -0.003207 Loss_D_real: -0.003752 Loss_D_fake 0.015092
[1277/5000][475/535][131783] Loss_D: -0.020981 Loss_G: -0.006064 Loss_D_real: -0.017658 Loss_D_fake 0.003324
[1277/5000][480/535][131784] Loss_D: -0.019029 Loss_G: -0.003326 Loss_D_real: -0.001186 Loss_D_fake 0.017843
[1277/5000][485/535][131785] Loss_D: -0.018987 Loss_G: 0.022191 Loss_D_real: -0.028487 Loss_D_fake -0.009500
[1277/5000][490/535][131786] Loss_D: -0.021037 Loss_G: 0.010332 Loss_D_real: -0.019696 Loss_D_fake 0.001341
[1277/5000][495/535][131787] Loss_D: -0.019308 Loss_G: 0.019306 Loss_D_real: -0.013442 Loss_D_fake 0.005866
[1277/5000][500/535][131788] Loss_D: -0.019367 Loss_G: 0.017721 Loss_D_real: -0.027077 Loss_D_fake -0.007710
[1277/5000][505/535][131789] Loss_D: -0.020821 Loss_G: 0.007574 Loss_D_real: -0.013781 Loss_D_fake 0.007041
[1277/5000][510/535][131790] Loss_D: -0.018098 Loss_G: 0.032843 Loss_D_real: -0.028801 Loss_D_fake -0.010703
[1277/5000][515/535][131791] Loss_D: -0.021193 Loss_G: -0.006211 Loss_D_real: -0.011918 Loss_D_fake 0.009275
[1277/5000][520/535][131792] Loss_D: -0.019122 Loss_G: 0.006417 Loss_D_real: -0.022925 Loss_D_fake -0.003803
[1277/5000][525/535][131793] Loss_D: -0.018325 Loss_G: 0.014611 Loss_D_real: -0.019970 Loss_D_fake -0.001645
[1277/5000][530/535][131794] Loss_D: -0.020551 Loss_G: 0.019635 Loss_D_real: -0.011136 Loss_D_fake 0.009415
[1277/5000][535/535][131795] Loss_D: -0.019638 Loss_G: 0.028237 Loss_D_real: -0.032062 Loss_D_fake -0.012424
[1278/5000][5/535][131796] Loss_D: -0.020452 Loss_G: 0.008207 Loss_D_real: -0.027982 Loss_D_fake -0.007530
[1278/5000][10/535][131797] Loss_D: -0.019619 Loss_G: -0.009625 Loss_D_real: -0.017501 Loss_D_fake 0.002117
[1278/5000][15/535][131798] Loss_D: -0.020507 Loss_G: 0.007602 Loss_D_real: -0.011474 Loss_D_fake 0.009033
[1278/5000][20/535][131799] Loss_D: -0.020204 Loss_G: 0.010662 Loss_D_real: -0.019739 Loss_D_fake 0.000465
[1278/5000][25/535][131800] Loss_D: -0.020896 Loss_G: 0.015487 Loss_D_real: -0.020034 Loss_D_fake 0.000862
[1278/5000][30/535][131801] Loss_D: -0.020260 Loss_G: 0.007069 Loss_D_real: -0.007125 Loss_D_fake 0.013135
[1278/5000][35/535][131802] Loss_D: -0.019618 Loss_G: 0.006644 Loss_D_real: -0.011358 Loss_D_fake 0.008260
[1278/5000][40/535][131803] Loss_D: -0.019089 Loss_G: -0.006198 Loss_D_real: -0.015449 Loss_D_fake 0.003640
[1278/5000][45/535][131804] Loss_D: -0.019161 Loss_G: 0.020202 Loss_D_real: -0.021958 Loss_D_fake -0.002797
[1278/5000][50/535][131805] Loss_D: -0.019448 Loss_G: -0.005379 Loss_D_real: -0.003609 Loss_D_fake 0.015839
[1278/5000][55/535][131806] Loss_D: -0.018208 Loss_G: 0.026655 Loss_D_real: -0.021689 Loss_D_fake -0.003481
[1278/5000][60/535][131807] Loss_D: -0.018567 Loss_G: -0.001115 Loss_D_real: -0.006385 Loss_D_fake 0.012182
[1278/5000][65/535][131808] Loss_D: -0.020510 Loss_G: 0.010311 Loss_D_real: -0.021816 Loss_D_fake -0.001306
[1278/5000][70/535][131809] Loss_D: -0.021342 Loss_G: 0.009426 Loss_D_real: -0.019460 Loss_D_fake 0.001882
[1278/5000][75/535][131810] Loss_D: -0.019761 Loss_G: -0.004331 Loss_D_real: -0.011515 Loss_D_fake 0.008246
[1278/5000][80/535][131811] Loss_D: -0.020783 Loss_G: -0.014281 Loss_D_real: -0.003299 Loss_D_fake 0.017484
[1278/5000][85/535][131812] Loss_D: -0.020459 Loss_G: 0.007504 Loss_D_real: -0.016588 Loss_D_fake 0.003871
[1278/5000][90/535][131813] Loss_D: -0.018901 Loss_G: 0.002072 Loss_D_real: -0.019451 Loss_D_fake -0.000550
[1278/5000][95/535][131814] Loss_D: -0.019264 Loss_G: 0.010423 Loss_D_real: -0.022720 Loss_D_fake -0.003455
[1278/5000][100/535][131815] Loss_D: -0.019338 Loss_G: -0.004154 Loss_D_real: 0.001231 Loss_D_fake 0.020569
[1278/5000][105/535][131816] Loss_D: -0.019365 Loss_G: 0.009581 Loss_D_real: -0.017127 Loss_D_fake 0.002238
[1278/5000][110/535][131817] Loss_D: -0.019813 Loss_G: 0.008169 Loss_D_real: -0.018947 Loss_D_fake 0.000866
[1278/5000][115/535][131818] Loss_D: -0.019263 Loss_G: 0.021113 Loss_D_real: -0.024218 Loss_D_fake -0.004956
[1278/5000][120/535][131819] Loss_D: -0.021588 Loss_G: -0.000408 Loss_D_real: -0.017936 Loss_D_fake 0.003653
[1278/5000][125/535][131820] Loss_D: -0.020345 Loss_G: 0.004467 Loss_D_real: -0.026326 Loss_D_fake -0.005981
[1278/5000][130/535][131821] Loss_D: -0.019433 Loss_G: -0.023053 Loss_D_real: 0.000310 Loss_D_fake 0.019742
[1278/5000][135/535][131822] Loss_D: -0.019962 Loss_G: 0.030058 Loss_D_real: -0.027690 Loss_D_fake -0.007729
[1278/5000][140/535][131823] Loss_D: -0.020079 Loss_G: -0.007519 Loss_D_real: -0.007381 Loss_D_fake 0.012698
[1278/5000][145/535][131824] Loss_D: -0.020482 Loss_G: -0.010578 Loss_D_real: -0.004976 Loss_D_fake 0.015505
[1278/5000][150/535][131825] Loss_D: -0.019205 Loss_G: -0.000176 Loss_D_real: -0.010394 Loss_D_fake 0.008811
[1278/5000][155/535][131826] Loss_D: -0.019310 Loss_G: 0.012830 Loss_D_real: -0.025510 Loss_D_fake -0.006200
[1278/5000][160/535][131827] Loss_D: -0.020349 Loss_G: 0.002102 Loss_D_real: -0.025014 Loss_D_fake -0.004665
[1278/5000][165/535][131828] Loss_D: -0.020039 Loss_G: 0.014027 Loss_D_real: -0.035090 Loss_D_fake -0.015051
[1278/5000][170/535][131829] Loss_D: -0.020123 Loss_G: -0.007487 Loss_D_real: -0.007728 Loss_D_fake 0.012395
[1278/5000][175/535][131830] Loss_D: -0.020006 Loss_G: -0.004209 Loss_D_real: 0.000891 Loss_D_fake 0.020896
[1278/5000][180/535][131831] Loss_D: -0.020498 Loss_G: 0.027094 Loss_D_real: -0.026005 Loss_D_fake -0.005508
[1278/5000][185/535][131832] Loss_D: -0.018821 Loss_G: 0.010598 Loss_D_real: -0.021547 Loss_D_fake -0.002727
[1278/5000][190/535][131833] Loss_D: -0.020511 Loss_G: 0.005586 Loss_D_real: -0.032233 Loss_D_fake -0.011722
[1278/5000][195/535][131834] Loss_D: -0.020207 Loss_G: 0.006210 Loss_D_real: 0.000596 Loss_D_fake 0.020803
[1278/5000][200/535][131835] Loss_D: -0.020763 Loss_G: 0.017930 Loss_D_real: -0.023054 Loss_D_fake -0.002291
[1278/5000][205/535][131836] Loss_D: -0.019503 Loss_G: 0.005316 Loss_D_real: -0.017844 Loss_D_fake 0.001658
[1278/5000][210/535][131837] Loss_D: -0.021133 Loss_G: 0.012455 Loss_D_real: -0.023601 Loss_D_fake -0.002468
[1278/5000][215/535][131838] Loss_D: -0.020945 Loss_G: 0.018755 Loss_D_real: -0.022180 Loss_D_fake -0.001235
[1278/5000][220/535][131839] Loss_D: -0.019896 Loss_G: 0.017109 Loss_D_real: -0.031164 Loss_D_fake -0.011268
[1278/5000][225/535][131840] Loss_D: -0.020957 Loss_G: 0.023359 Loss_D_real: -0.022127 Loss_D_fake -0.001170
[1278/5000][230/535][131841] Loss_D: -0.018973 Loss_G: -0.002345 Loss_D_real: 0.001347 Loss_D_fake 0.020320
[1278/5000][235/535][131842] Loss_D: -0.018972 Loss_G: 0.006048 Loss_D_real: -0.008964 Loss_D_fake 0.010009
[1278/5000][240/535][131843] Loss_D: -0.019902 Loss_G: -0.009189 Loss_D_real: 0.000382 Loss_D_fake 0.020284
[1278/5000][245/535][131844] Loss_D: -0.020730 Loss_G: -0.001637 Loss_D_real: -0.018634 Loss_D_fake 0.002096
[1278/5000][250/535][131845] Loss_D: -0.020215 Loss_G: -0.006623 Loss_D_real: -0.007420 Loss_D_fake 0.012795
[1278/5000][255/535][131846] Loss_D: -0.020684 Loss_G: -0.009791 Loss_D_real: -0.014737 Loss_D_fake 0.005948
[1278/5000][260/535][131847] Loss_D: -0.020672 Loss_G: 0.004852 Loss_D_real: -0.020868 Loss_D_fake -0.000196
[1278/5000][265/535][131848] Loss_D: -0.021300 Loss_G: -0.005032 Loss_D_real: -0.002821 Loss_D_fake 0.018479
[1278/5000][270/535][131849] Loss_D: -0.019462 Loss_G: 0.018696 Loss_D_real: -0.022565 Loss_D_fake -0.003103
[1278/5000][275/535][131850] Loss_D: -0.021967 Loss_G: 0.014886 Loss_D_real: -0.022470 Loss_D_fake -0.000503
[1278/5000][280/535][131851] Loss_D: -0.020943 Loss_G: 0.006963 Loss_D_real: -0.021288 Loss_D_fake -0.000346
[1278/5000][285/535][131852] Loss_D: -0.021130 Loss_G: 0.016942 Loss_D_real: -0.023482 Loss_D_fake -0.002351
[1278/5000][290/535][131853] Loss_D: -0.020117 Loss_G: 0.000123 Loss_D_real: -0.024421 Loss_D_fake -0.004304
[1278/5000][295/535][131854] Loss_D: -0.019711 Loss_G: -0.009931 Loss_D_real: -0.014299 Loss_D_fake 0.005412
[1278/5000][300/535][131855] Loss_D: -0.019227 Loss_G: 0.021719 Loss_D_real: -0.035894 Loss_D_fake -0.016667
[1278/5000][305/535][131856] Loss_D: -0.020744 Loss_G: 0.011267 Loss_D_real: -0.008997 Loss_D_fake 0.011747
[1278/5000][310/535][131857] Loss_D: -0.021050 Loss_G: -0.014365 Loss_D_real: 0.001143 Loss_D_fake 0.022193
[1278/5000][315/535][131858] Loss_D: -0.018172 Loss_G: -0.016790 Loss_D_real: -0.013304 Loss_D_fake 0.004867
[1278/5000][320/535][131859] Loss_D: -0.019957 Loss_G: 0.017973 Loss_D_real: -0.023609 Loss_D_fake -0.003651
[1278/5000][325/535][131860] Loss_D: -0.019495 Loss_G: 0.005809 Loss_D_real: -0.014582 Loss_D_fake 0.004913
[1278/5000][330/535][131861] Loss_D: -0.020405 Loss_G: -0.005639 Loss_D_real: -0.015379 Loss_D_fake 0.005025
[1278/5000][335/535][131862] Loss_D: -0.019262 Loss_G: 0.005614 Loss_D_real: -0.018744 Loss_D_fake 0.000518
[1278/5000][340/535][131863] Loss_D: -0.019476 Loss_G: 0.006693 Loss_D_real: -0.009750 Loss_D_fake 0.009726
[1278/5000][345/535][131864] Loss_D: -0.018580 Loss_G: -0.011713 Loss_D_real: 0.000704 Loss_D_fake 0.019284
[1278/5000][350/535][131865] Loss_D: -0.019949 Loss_G: 0.004694 Loss_D_real: -0.021602 Loss_D_fake -0.001653
[1278/5000][355/535][131866] Loss_D: -0.020448 Loss_G: 0.010315 Loss_D_real: -0.011041 Loss_D_fake 0.009407
[1278/5000][360/535][131867] Loss_D: -0.018334 Loss_G: 0.005650 Loss_D_real: -0.005268 Loss_D_fake 0.013066
[1278/5000][365/535][131868] Loss_D: -0.020291 Loss_G: 0.000968 Loss_D_real: -0.005707 Loss_D_fake 0.014584
[1278/5000][370/535][131869] Loss_D: -0.020128 Loss_G: 0.012263 Loss_D_real: -0.023162 Loss_D_fake -0.003034
[1278/5000][375/535][131870] Loss_D: -0.019180 Loss_G: 0.004296 Loss_D_real: -0.025914 Loss_D_fake -0.006734
[1278/5000][380/535][131871] Loss_D: -0.020498 Loss_G: 0.005424 Loss_D_real: -0.003119 Loss_D_fake 0.017379
[1278/5000][385/535][131872] Loss_D: -0.020906 Loss_G: -0.001740 Loss_D_real: -0.021617 Loss_D_fake -0.000712
[1278/5000][390/535][131873] Loss_D: -0.020642 Loss_G: 0.012587 Loss_D_real: -0.024209 Loss_D_fake -0.003567
[1278/5000][395/535][131874] Loss_D: -0.021315 Loss_G: 0.013128 Loss_D_real: -0.020874 Loss_D_fake 0.000441
[1278/5000][400/535][131875] Loss_D: -0.018422 Loss_G: 0.010480 Loss_D_real: -0.009098 Loss_D_fake 0.009324
[1278/5000][405/535][131876] Loss_D: -0.019609 Loss_G: -0.016812 Loss_D_real: -0.008155 Loss_D_fake 0.011454
[1278/5000][410/535][131877] Loss_D: -0.018629 Loss_G: -0.004758 Loss_D_real: -0.007311 Loss_D_fake 0.011318
[1278/5000][415/535][131878] Loss_D: -0.020706 Loss_G: 0.008698 Loss_D_real: -0.024825 Loss_D_fake -0.004119
[1278/5000][420/535][131879] Loss_D: -0.019789 Loss_G: -0.005169 Loss_D_real: 0.008917 Loss_D_fake 0.028706
[1278/5000][425/535][131880] Loss_D: -0.019332 Loss_G: 0.015126 Loss_D_real: -0.027935 Loss_D_fake -0.008603
[1278/5000][430/535][131881] Loss_D: -0.020859 Loss_G: 0.015691 Loss_D_real: -0.020780 Loss_D_fake 0.000079
[1278/5000][435/535][131882] Loss_D: -0.019343 Loss_G: -0.001121 Loss_D_real: -0.012148 Loss_D_fake 0.007195
[1278/5000][440/535][131883] Loss_D: -0.019524 Loss_G: -0.010168 Loss_D_real: -0.010403 Loss_D_fake 0.009122
[1278/5000][445/535][131884] Loss_D: -0.018929 Loss_G: 0.024831 Loss_D_real: -0.028596 Loss_D_fake -0.009667
[1278/5000][450/535][131885] Loss_D: -0.019696 Loss_G: 0.020103 Loss_D_real: -0.027022 Loss_D_fake -0.007325
[1278/5000][455/535][131886] Loss_D: -0.020095 Loss_G: -0.004793 Loss_D_real: -0.011990 Loss_D_fake 0.008105
[1278/5000][460/535][131887] Loss_D: -0.020737 Loss_G: -0.000514 Loss_D_real: -0.010419 Loss_D_fake 0.010317
[1278/5000][465/535][131888] Loss_D: -0.020595 Loss_G: 0.007396 Loss_D_real: -0.021466 Loss_D_fake -0.000871
[1278/5000][470/535][131889] Loss_D: -0.019441 Loss_G: 0.002254 Loss_D_real: -0.019055 Loss_D_fake 0.000386
[1278/5000][475/535][131890] Loss_D: -0.020083 Loss_G: 0.003582 Loss_D_real: -0.016553 Loss_D_fake 0.003530
[1278/5000][480/535][131891] Loss_D: -0.018873 Loss_G: 0.016657 Loss_D_real: -0.037099 Loss_D_fake -0.018226
[1278/5000][485/535][131892] Loss_D: -0.020302 Loss_G: 0.009468 Loss_D_real: -0.017740 Loss_D_fake 0.002562
[1278/5000][490/535][131893] Loss_D: -0.018200 Loss_G: 0.016862 Loss_D_real: -0.038124 Loss_D_fake -0.019925
[1278/5000][495/535][131894] Loss_D: -0.020926 Loss_G: 0.003536 Loss_D_real: -0.013867 Loss_D_fake 0.007059
[1278/5000][500/535][131895] Loss_D: -0.020467 Loss_G: 0.001598 Loss_D_real: -0.008440 Loss_D_fake 0.012027
[1278/5000][505/535][131896] Loss_D: -0.018883 Loss_G: 0.017977 Loss_D_real: -0.038786 Loss_D_fake -0.019904
[1278/5000][510/535][131897] Loss_D: -0.020803 Loss_G: 0.011430 Loss_D_real: -0.018349 Loss_D_fake 0.002454
[1278/5000][515/535][131898] Loss_D: -0.019634 Loss_G: -0.008940 Loss_D_real: -0.007932 Loss_D_fake 0.011703
[1278/5000][520/535][131899] Loss_D: -0.020712 Loss_G: 0.013281 Loss_D_real: -0.015024 Loss_D_fake 0.005688
[1278/5000][525/535][131900] Loss_D: -0.021049 Loss_G: -0.011010 Loss_D_real: -0.001907 Loss_D_fake 0.019142
[1278/5000][530/535][131901] Loss_D: -0.019723 Loss_G: -0.013120 Loss_D_real: 0.002862 Loss_D_fake 0.022585
[1278/5000][535/535][131902] Loss_D: -0.020180 Loss_G: 0.025324 Loss_D_real: -0.015191 Loss_D_fake 0.004989
[1279/5000][5/535][131903] Loss_D: -0.021448 Loss_G: 0.006956 Loss_D_real: -0.025461 Loss_D_fake -0.004013
[1279/5000][10/535][131904] Loss_D: -0.021236 Loss_G: 0.002433 Loss_D_real: -0.006873 Loss_D_fake 0.014363
[1279/5000][15/535][131905] Loss_D: -0.019963 Loss_G: 0.002892 Loss_D_real: -0.005294 Loss_D_fake 0.014669
[1279/5000][20/535][131906] Loss_D: -0.020493 Loss_G: -0.005859 Loss_D_real: -0.011801 Loss_D_fake 0.008692
[1279/5000][25/535][131907] Loss_D: -0.019827 Loss_G: -0.003290 Loss_D_real: 0.001120 Loss_D_fake 0.020947
[1279/5000][30/535][131908] Loss_D: -0.020761 Loss_G: 0.008536 Loss_D_real: -0.017893 Loss_D_fake 0.002868
[1279/5000][35/535][131909] Loss_D: -0.020690 Loss_G: 0.010163 Loss_D_real: -0.019130 Loss_D_fake 0.001560
[1279/5000][40/535][131910] Loss_D: -0.018967 Loss_G: 0.020459 Loss_D_real: -0.020941 Loss_D_fake -0.001973
[1279/5000][45/535][131911] Loss_D: -0.020237 Loss_G: 0.017868 Loss_D_real: -0.024694 Loss_D_fake -0.004457
[1279/5000][50/535][131912] Loss_D: -0.020415 Loss_G: -0.016448 Loss_D_real: -0.002059 Loss_D_fake 0.018356
[1279/5000][55/535][131913] Loss_D: -0.019521 Loss_G: 0.004943 Loss_D_real: -0.012378 Loss_D_fake 0.007143
[1279/5000][60/535][131914] Loss_D: -0.019802 Loss_G: 0.003296 Loss_D_real: -0.012828 Loss_D_fake 0.006974
[1279/5000][65/535][131915] Loss_D: -0.020451 Loss_G: 0.016800 Loss_D_real: -0.016986 Loss_D_fake 0.003466
[1279/5000][70/535][131916] Loss_D: -0.020193 Loss_G: 0.012467 Loss_D_real: -0.019643 Loss_D_fake 0.000551
[1279/5000][75/535][131917] Loss_D: -0.018604 Loss_G: -0.001559 Loss_D_real: 0.009085 Loss_D_fake 0.027689
[1279/5000][80/535][131918] Loss_D: -0.019986 Loss_G: 0.006924 Loss_D_real: -0.022957 Loss_D_fake -0.002971
[1279/5000][85/535][131919] Loss_D: -0.020046 Loss_G: 0.024607 Loss_D_real: -0.037571 Loss_D_fake -0.017524
[1279/5000][90/535][131920] Loss_D: -0.020494 Loss_G: -0.001374 Loss_D_real: -0.014716 Loss_D_fake 0.005778
[1279/5000][95/535][131921] Loss_D: -0.020590 Loss_G: 0.007898 Loss_D_real: -0.024859 Loss_D_fake -0.004269
[1279/5000][100/535][131922] Loss_D: -0.018697 Loss_G: -0.006300 Loss_D_real: -0.006001 Loss_D_fake 0.012696
[1279/5000][105/535][131923] Loss_D: -0.020435 Loss_G: 0.015358 Loss_D_real: -0.021569 Loss_D_fake -0.001135
[1279/5000][110/535][131924] Loss_D: -0.021040 Loss_G: 0.006158 Loss_D_real: -0.017649 Loss_D_fake 0.003391
[1279/5000][115/535][131925] Loss_D: -0.019828 Loss_G: -0.003902 Loss_D_real: -0.010848 Loss_D_fake 0.008980
[1279/5000][120/535][131926] Loss_D: -0.020443 Loss_G: 0.014073 Loss_D_real: -0.021303 Loss_D_fake -0.000859
[1279/5000][125/535][131927] Loss_D: -0.020020 Loss_G: 0.010309 Loss_D_real: -0.012971 Loss_D_fake 0.007049
[1279/5000][130/535][131928] Loss_D: -0.018938 Loss_G: 0.028313 Loss_D_real: -0.015952 Loss_D_fake 0.002987
[1279/5000][135/535][131929] Loss_D: -0.019458 Loss_G: 0.007387 Loss_D_real: -0.006201 Loss_D_fake 0.013257
[1279/5000][140/535][131930] Loss_D: -0.019627 Loss_G: 0.013836 Loss_D_real: -0.019608 Loss_D_fake 0.000019
[1279/5000][145/535][131931] Loss_D: -0.019937 Loss_G: 0.008981 Loss_D_real: -0.022961 Loss_D_fake -0.003023
[1279/5000][150/535][131932] Loss_D: -0.020362 Loss_G: -0.003938 Loss_D_real: -0.012640 Loss_D_fake 0.007722
[1279/5000][155/535][131933] Loss_D: -0.020043 Loss_G: 0.007192 Loss_D_real: -0.019152 Loss_D_fake 0.000892
[1279/5000][160/535][131934] Loss_D: -0.020206 Loss_G: 0.012085 Loss_D_real: -0.021160 Loss_D_fake -0.000954
[1279/5000][165/535][131935] Loss_D: -0.020389 Loss_G: -0.002287 Loss_D_real: -0.013507 Loss_D_fake 0.006882
[1279/5000][170/535][131936] Loss_D: -0.020356 Loss_G: 0.011136 Loss_D_real: -0.022611 Loss_D_fake -0.002255
[1279/5000][175/535][131937] Loss_D: -0.019323 Loss_G: 0.000320 Loss_D_real: -0.000503 Loss_D_fake 0.018820
[1279/5000][180/535][131938] Loss_D: -0.020851 Loss_G: 0.002021 Loss_D_real: -0.019833 Loss_D_fake 0.001018
[1279/5000][185/535][131939] Loss_D: -0.020834 Loss_G: 0.005463 Loss_D_real: -0.017542 Loss_D_fake 0.003292
[1279/5000][190/535][131940] Loss_D: -0.019680 Loss_G: -0.000181 Loss_D_real: -0.010889 Loss_D_fake 0.008791
[1279/5000][195/535][131941] Loss_D: -0.019688 Loss_G: 0.015838 Loss_D_real: -0.027318 Loss_D_fake -0.007630
[1279/5000][200/535][131942] Loss_D: -0.019243 Loss_G: 0.015510 Loss_D_real: -0.029313 Loss_D_fake -0.010070
[1279/5000][205/535][131943] Loss_D: -0.019491 Loss_G: 0.028459 Loss_D_real: -0.028808 Loss_D_fake -0.009317
[1279/5000][210/535][131944] Loss_D: -0.019656 Loss_G: 0.000381 Loss_D_real: -0.016647 Loss_D_fake 0.003008
[1279/5000][215/535][131945] Loss_D: -0.021442 Loss_G: -0.001847 Loss_D_real: -0.018808 Loss_D_fake 0.002634
[1279/5000][220/535][131946] Loss_D: -0.020079 Loss_G: -0.009102 Loss_D_real: -0.012496 Loss_D_fake 0.007583
[1279/5000][225/535][131947] Loss_D: -0.020667 Loss_G: 0.023767 Loss_D_real: -0.032967 Loss_D_fake -0.012300
[1279/5000][230/535][131948] Loss_D: -0.019461 Loss_G: -0.009542 Loss_D_real: -0.002988 Loss_D_fake 0.016473
[1279/5000][235/535][131949] Loss_D: -0.018004 Loss_G: 0.023436 Loss_D_real: -0.033408 Loss_D_fake -0.015405
[1279/5000][240/535][131950] Loss_D: -0.018583 Loss_G: 0.015963 Loss_D_real: -0.028624 Loss_D_fake -0.010040
[1279/5000][245/535][131951] Loss_D: -0.020687 Loss_G: 0.001914 Loss_D_real: -0.020391 Loss_D_fake 0.000296
[1279/5000][250/535][131952] Loss_D: -0.021597 Loss_G: 0.000277 Loss_D_real: -0.021258 Loss_D_fake 0.000338
[1279/5000][255/535][131953] Loss_D: -0.020407 Loss_G: 0.018991 Loss_D_real: -0.032796 Loss_D_fake -0.012389
[1279/5000][260/535][131954] Loss_D: -0.021317 Loss_G: 0.018454 Loss_D_real: -0.023267 Loss_D_fake -0.001950
[1279/5000][265/535][131955] Loss_D: -0.018416 Loss_G: -0.001997 Loss_D_real: 0.003659 Loss_D_fake 0.022074
[1279/5000][270/535][131956] Loss_D: -0.019387 Loss_G: -0.002649 Loss_D_real: -0.002426 Loss_D_fake 0.016961
[1279/5000][275/535][131957] Loss_D: -0.021152 Loss_G: 0.003490 Loss_D_real: -0.007131 Loss_D_fake 0.014021
[1279/5000][280/535][131958] Loss_D: -0.020343 Loss_G: -0.000008 Loss_D_real: -0.014370 Loss_D_fake 0.005973
[1279/5000][285/535][131959] Loss_D: -0.020393 Loss_G: 0.004300 Loss_D_real: -0.020647 Loss_D_fake -0.000254
[1279/5000][290/535][131960] Loss_D: -0.020905 Loss_G: 0.005432 Loss_D_real: -0.016232 Loss_D_fake 0.004673
[1279/5000][295/535][131961] Loss_D: -0.019070 Loss_G: 0.022176 Loss_D_real: -0.037252 Loss_D_fake -0.018182
[1279/5000][300/535][131962] Loss_D: -0.019438 Loss_G: 0.009622 Loss_D_real: -0.021825 Loss_D_fake -0.002387
[1279/5000][305/535][131963] Loss_D: -0.017738 Loss_G: 0.029594 Loss_D_real: -0.029754 Loss_D_fake -0.012016
[1279/5000][310/535][131964] Loss_D: -0.017003 Loss_G: 0.028636 Loss_D_real: -0.033131 Loss_D_fake -0.016128
[1279/5000][315/535][131965] Loss_D: -0.020367 Loss_G: 0.004695 Loss_D_real: -0.014651 Loss_D_fake 0.005716
[1279/5000][320/535][131966] Loss_D: -0.018934 Loss_G: 0.007813 Loss_D_real: -0.023331 Loss_D_fake -0.004396
[1279/5000][325/535][131967] Loss_D: -0.020116 Loss_G: 0.015784 Loss_D_real: -0.020111 Loss_D_fake 0.000006
[1279/5000][330/535][131968] Loss_D: -0.019135 Loss_G: 0.011809 Loss_D_real: -0.024086 Loss_D_fake -0.004951
[1279/5000][335/535][131969] Loss_D: -0.020654 Loss_G: 0.000467 Loss_D_real: -0.012742 Loss_D_fake 0.007912
[1279/5000][340/535][131970] Loss_D: -0.021472 Loss_G: 0.002712 Loss_D_real: -0.023789 Loss_D_fake -0.002317
[1279/5000][345/535][131971] Loss_D: -0.019530 Loss_G: 0.004581 Loss_D_real: -0.020659 Loss_D_fake -0.001128
[1279/5000][350/535][131972] Loss_D: -0.019836 Loss_G: 0.010867 Loss_D_real: -0.007118 Loss_D_fake 0.012718
[1279/5000][355/535][131973] Loss_D: -0.019558 Loss_G: 0.012795 Loss_D_real: -0.014621 Loss_D_fake 0.004937
[1279/5000][360/535][131974] Loss_D: -0.019437 Loss_G: 0.005906 Loss_D_real: -0.006066 Loss_D_fake 0.013371
[1279/5000][365/535][131975] Loss_D: -0.019289 Loss_G: 0.025225 Loss_D_real: -0.017875 Loss_D_fake 0.001415
[1279/5000][370/535][131976] Loss_D: -0.019395 Loss_G: 0.020394 Loss_D_real: -0.018104 Loss_D_fake 0.001291
[1279/5000][375/535][131977] Loss_D: -0.021199 Loss_G: -0.013075 Loss_D_real: -0.006417 Loss_D_fake 0.014782
[1279/5000][380/535][131978] Loss_D: -0.019958 Loss_G: 0.000153 Loss_D_real: -0.003140 Loss_D_fake 0.016818
[1279/5000][385/535][131979] Loss_D: -0.019058 Loss_G: -0.004019 Loss_D_real: -0.017316 Loss_D_fake 0.001742
[1279/5000][390/535][131980] Loss_D: -0.019251 Loss_G: 0.020599 Loss_D_real: -0.024656 Loss_D_fake -0.005405
[1279/5000][395/535][131981] Loss_D: -0.019834 Loss_G: 0.005566 Loss_D_real: -0.031832 Loss_D_fake -0.011998
[1279/5000][400/535][131982] Loss_D: -0.021853 Loss_G: 0.015905 Loss_D_real: -0.014756 Loss_D_fake 0.007097
[1279/5000][405/535][131983] Loss_D: -0.021367 Loss_G: 0.008319 Loss_D_real: -0.015020 Loss_D_fake 0.006347
[1279/5000][410/535][131984] Loss_D: -0.019949 Loss_G: 0.003657 Loss_D_real: -0.018269 Loss_D_fake 0.001680
[1279/5000][415/535][131985] Loss_D: -0.020409 Loss_G: 0.004879 Loss_D_real: -0.023534 Loss_D_fake -0.003125
[1279/5000][420/535][131986] Loss_D: -0.020678 Loss_G: 0.020204 Loss_D_real: -0.018784 Loss_D_fake 0.001894
[1279/5000][425/535][131987] Loss_D: -0.020050 Loss_G: 0.012465 Loss_D_real: -0.017532 Loss_D_fake 0.002518
[1279/5000][430/535][131988] Loss_D: -0.020904 Loss_G: -0.014988 Loss_D_real: -0.007608 Loss_D_fake 0.013297
[1279/5000][435/535][131989] Loss_D: -0.019152 Loss_G: 0.020233 Loss_D_real: -0.032284 Loss_D_fake -0.013131
[1279/5000][440/535][131990] Loss_D: -0.021247 Loss_G: 0.008280 Loss_D_real: -0.009203 Loss_D_fake 0.012043
[1279/5000][445/535][131991] Loss_D: -0.020008 Loss_G: 0.016276 Loss_D_real: -0.014748 Loss_D_fake 0.005260
[1279/5000][450/535][131992] Loss_D: -0.021385 Loss_G: 0.007219 Loss_D_real: -0.015102 Loss_D_fake 0.006284
[1279/5000][455/535][131993] Loss_D: -0.020257 Loss_G: 0.007009 Loss_D_real: -0.017733 Loss_D_fake 0.002524
[1279/5000][460/535][131994] Loss_D: -0.019846 Loss_G: -0.005583 Loss_D_real: -0.001126 Loss_D_fake 0.018720
[1279/5000][465/535][131995] Loss_D: -0.020665 Loss_G: 0.010526 Loss_D_real: -0.015690 Loss_D_fake 0.004975
[1279/5000][470/535][131996] Loss_D: -0.019670 Loss_G: 0.019070 Loss_D_real: -0.024356 Loss_D_fake -0.004686
[1279/5000][475/535][131997] Loss_D: -0.019333 Loss_G: 0.006647 Loss_D_real: -0.015946 Loss_D_fake 0.003387
[1279/5000][480/535][131998] Loss_D: -0.019892 Loss_G: 0.002046 Loss_D_real: -0.019161 Loss_D_fake 0.000731
[1279/5000][485/535][131999] Loss_D: -0.020246 Loss_G: 0.010779 Loss_D_real: -0.007566 Loss_D_fake 0.012680
[1279/5000][490/535][132000] Loss_D: -0.019717 Loss_G: 0.005946 Loss_D_real: -0.018913 Loss_D_fake 0.000803
[1279/5000][535/535][132001] Loss_D: -0.025506 Loss_G: 0.029194 Loss_D_real: -0.032344 Loss_D_fake -0.006838
[1280/5000][5/535][132002] Loss_D: -0.018347 Loss_G: 0.016120 Loss_D_real: -0.015583 Loss_D_fake 0.002764
[1280/5000][10/535][132003] Loss_D: -0.019183 Loss_G: -0.013139 Loss_D_real: -0.004437 Loss_D_fake 0.014746
[1280/5000][15/535][132004] Loss_D: -0.019540 Loss_G: -0.011259 Loss_D_real: -0.000751 Loss_D_fake 0.018789
[1280/5000][20/535][132005] Loss_D: -0.019801 Loss_G: 0.011429 Loss_D_real: -0.022099 Loss_D_fake -0.002299
[1280/5000][25/535][132006] Loss_D: -0.019768 Loss_G: -0.007810 Loss_D_real: -0.014458 Loss_D_fake 0.005310
[1280/5000][30/535][132007] Loss_D: -0.019650 Loss_G: 0.014872 Loss_D_real: -0.021279 Loss_D_fake -0.001629
[1280/5000][35/535][132008] Loss_D: -0.019260 Loss_G: 0.013031 Loss_D_real: -0.011909 Loss_D_fake 0.007352
[1280/5000][40/535][132009] Loss_D: -0.020991 Loss_G: 0.016458 Loss_D_real: -0.023311 Loss_D_fake -0.002320
[1280/5000][45/535][132010] Loss_D: -0.019923 Loss_G: -0.005119 Loss_D_real: -0.016196 Loss_D_fake 0.003727
[1280/5000][50/535][132011] Loss_D: -0.020675 Loss_G: -0.016040 Loss_D_real: -0.002683 Loss_D_fake 0.017991
[1280/5000][55/535][132012] Loss_D: -0.020622 Loss_G: -0.006353 Loss_D_real: -0.009464 Loss_D_fake 0.011159
[1280/5000][60/535][132013] Loss_D: -0.020318 Loss_G: 0.003487 Loss_D_real: -0.000195 Loss_D_fake 0.020123
[1280/5000][65/535][132014] Loss_D: -0.020483 Loss_G: 0.014699 Loss_D_real: -0.007967 Loss_D_fake 0.012516
[1280/5000][70/535][132015] Loss_D: -0.021621 Loss_G: 0.000235 Loss_D_real: -0.007540 Loss_D_fake 0.014080
[1280/5000][75/535][132016] Loss_D: -0.019988 Loss_G: 0.013819 Loss_D_real: -0.019022 Loss_D_fake 0.000967
[1280/5000][80/535][132017] Loss_D: -0.020121 Loss_G: -0.003928 Loss_D_real: -0.015127 Loss_D_fake 0.004995
[1280/5000][85/535][132018] Loss_D: -0.019240 Loss_G: 0.028531 Loss_D_real: -0.021322 Loss_D_fake -0.002081
[1280/5000][90/535][132019] Loss_D: -0.018999 Loss_G: 0.021163 Loss_D_real: -0.026877 Loss_D_fake -0.007877
[1280/5000][95/535][132020] Loss_D: -0.019629 Loss_G: 0.015960 Loss_D_real: -0.024355 Loss_D_fake -0.004727
[1280/5000][100/535][132021] Loss_D: -0.019079 Loss_G: -0.008694 Loss_D_real: -0.000435 Loss_D_fake 0.018644
[1280/5000][105/535][132022] Loss_D: -0.018847 Loss_G: 0.014889 Loss_D_real: -0.019952 Loss_D_fake -0.001105
[1280/5000][110/535][132023] Loss_D: -0.017568 Loss_G: 0.020397 Loss_D_real: -0.032370 Loss_D_fake -0.014802
[1280/5000][115/535][132024] Loss_D: -0.019758 Loss_G: -0.012251 Loss_D_real: -0.003964 Loss_D_fake 0.015795
[1280/5000][120/535][132025] Loss_D: -0.018583 Loss_G: 0.024026 Loss_D_real: -0.020773 Loss_D_fake -0.002190
[1280/5000][125/535][132026] Loss_D: -0.019926 Loss_G: 0.004996 Loss_D_real: -0.028213 Loss_D_fake -0.008288
[1280/5000][130/535][132027] Loss_D: -0.019903 Loss_G: -0.002763 Loss_D_real: -0.011824 Loss_D_fake 0.008079
[1280/5000][135/535][132028] Loss_D: -0.019449 Loss_G: 0.008854 Loss_D_real: -0.010987 Loss_D_fake 0.008462
[1280/5000][140/535][132029] Loss_D: -0.019790 Loss_G: 0.000702 Loss_D_real: -0.008277 Loss_D_fake 0.011513
[1280/5000][145/535][132030] Loss_D: -0.019578 Loss_G: 0.007874 Loss_D_real: -0.018537 Loss_D_fake 0.001041
[1280/5000][150/535][132031] Loss_D: -0.019974 Loss_G: 0.010833 Loss_D_real: -0.014177 Loss_D_fake 0.005797
[1280/5000][155/535][132032] Loss_D: -0.019065 Loss_G: -0.009562 Loss_D_real: 0.004750 Loss_D_fake 0.023815
[1280/5000][160/535][132033] Loss_D: -0.020036 Loss_G: 0.004806 Loss_D_real: -0.010002 Loss_D_fake 0.010034
[1280/5000][165/535][132034] Loss_D: -0.018935 Loss_G: 0.021867 Loss_D_real: -0.035628 Loss_D_fake -0.016693
[1280/5000][170/535][132035] Loss_D: -0.020101 Loss_G: -0.000744 Loss_D_real: -0.019927 Loss_D_fake 0.000174
[1280/5000][175/535][132036] Loss_D: -0.020246 Loss_G: 0.011605 Loss_D_real: -0.010988 Loss_D_fake 0.009258
[1280/5000][180/535][132037] Loss_D: -0.019949 Loss_G: -0.009347 Loss_D_real: 0.007257 Loss_D_fake 0.027206
[1280/5000][185/535][132038] Loss_D: -0.018961 Loss_G: 0.019062 Loss_D_real: -0.016849 Loss_D_fake 0.002112
[1280/5000][190/535][132039] Loss_D: -0.020045 Loss_G: -0.006241 Loss_D_real: 0.000141 Loss_D_fake 0.020186
[1280/5000][195/535][132040] Loss_D: -0.018465 Loss_G: 0.003323 Loss_D_real: -0.006493 Loss_D_fake 0.011973
[1280/5000][200/535][132041] Loss_D: -0.020254 Loss_G: 0.001364 Loss_D_real: -0.005925 Loss_D_fake 0.014329
[1280/5000][205/535][132042] Loss_D: -0.019025 Loss_G: -0.002885 Loss_D_real: -0.004305 Loss_D_fake 0.014720
[1280/5000][210/535][132043] Loss_D: -0.019535 Loss_G: 0.010722 Loss_D_real: -0.027321 Loss_D_fake -0.007786
[1280/5000][215/535][132044] Loss_D: -0.021804 Loss_G: 0.005271 Loss_D_real: -0.016693 Loss_D_fake 0.005111
[1280/5000][220/535][132045] Loss_D: -0.020319 Loss_G: 0.016291 Loss_D_real: -0.016469 Loss_D_fake 0.003850
[1280/5000][225/535][132046] Loss_D: -0.020150 Loss_G: -0.002704 Loss_D_real: -0.000016 Loss_D_fake 0.020134
[1280/5000][230/535][132047] Loss_D: -0.020327 Loss_G: 0.019316 Loss_D_real: -0.027574 Loss_D_fake -0.007246
[1280/5000][235/535][132048] Loss_D: -0.019658 Loss_G: -0.017718 Loss_D_real: -0.012939 Loss_D_fake 0.006719
[1280/5000][240/535][132049] Loss_D: -0.019619 Loss_G: 0.008522 Loss_D_real: -0.019972 Loss_D_fake -0.000353
[1280/5000][245/535][132050] Loss_D: -0.019869 Loss_G: -0.016792 Loss_D_real: -0.000792 Loss_D_fake 0.019077
[1280/5000][250/535][132051] Loss_D: -0.018653 Loss_G: 0.037670 Loss_D_real: -0.028861 Loss_D_fake -0.010207
[1280/5000][255/535][132052] Loss_D: -0.020713 Loss_G: 0.012391 Loss_D_real: -0.035649 Loss_D_fake -0.014936
[1280/5000][260/535][132053] Loss_D: -0.021427 Loss_G: -0.004693 Loss_D_real: -0.007220 Loss_D_fake 0.014207
[1280/5000][265/535][132054] Loss_D: -0.019667 Loss_G: 0.013352 Loss_D_real: -0.019736 Loss_D_fake -0.000069
[1280/5000][270/535][132055] Loss_D: -0.018493 Loss_G: 0.004295 Loss_D_real: -0.032662 Loss_D_fake -0.014169
[1280/5000][275/535][132056] Loss_D: -0.021369 Loss_G: 0.017922 Loss_D_real: -0.011244 Loss_D_fake 0.010125
[1280/5000][280/535][132057] Loss_D: -0.019354 Loss_G: -0.010587 Loss_D_real: 0.000442 Loss_D_fake 0.019796
[1280/5000][285/535][132058] Loss_D: -0.021175 Loss_G: 0.020642 Loss_D_real: -0.031211 Loss_D_fake -0.010035
[1280/5000][290/535][132059] Loss_D: -0.019080 Loss_G: -0.018015 Loss_D_real: -0.005395 Loss_D_fake 0.013684
[1280/5000][295/535][132060] Loss_D: -0.020678 Loss_G: 0.011124 Loss_D_real: -0.024731 Loss_D_fake -0.004054
[1280/5000][300/535][132061] Loss_D: -0.017960 Loss_G: 0.031710 Loss_D_real: -0.025243 Loss_D_fake -0.007282
[1280/5000][305/535][132062] Loss_D: -0.019091 Loss_G: 0.018006 Loss_D_real: -0.034089 Loss_D_fake -0.014998
[1280/5000][310/535][132063] Loss_D: -0.020546 Loss_G: 0.006468 Loss_D_real: -0.018161 Loss_D_fake 0.002385
[1280/5000][315/535][132064] Loss_D: -0.019905 Loss_G: 0.009392 Loss_D_real: -0.021641 Loss_D_fake -0.001736
[1280/5000][320/535][132065] Loss_D: -0.021239 Loss_G: -0.005952 Loss_D_real: -0.023244 Loss_D_fake -0.002005
[1280/5000][325/535][132066] Loss_D: -0.021828 Loss_G: -0.003710 Loss_D_real: 0.008076 Loss_D_fake 0.029904
[1280/5000][330/535][132067] Loss_D: -0.020243 Loss_G: 0.008730 Loss_D_real: -0.012947 Loss_D_fake 0.007296
[1280/5000][335/535][132068] Loss_D: -0.019852 Loss_G: 0.006331 Loss_D_real: -0.017032 Loss_D_fake 0.002821
[1280/5000][340/535][132069] Loss_D: -0.019008 Loss_G: 0.020439 Loss_D_real: -0.024159 Loss_D_fake -0.005151
[1280/5000][345/535][132070] Loss_D: -0.019947 Loss_G: 0.010991 Loss_D_real: -0.018785 Loss_D_fake 0.001162
[1280/5000][350/535][132071] Loss_D: -0.020086 Loss_G: 0.008564 Loss_D_real: -0.025340 Loss_D_fake -0.005253
[1280/5000][355/535][132072] Loss_D: -0.019915 Loss_G: 0.019542 Loss_D_real: -0.021327 Loss_D_fake -0.001412
[1280/5000][360/535][132073] Loss_D: -0.020462 Loss_G: 0.004502 Loss_D_real: -0.016424 Loss_D_fake 0.004038
[1280/5000][365/535][132074] Loss_D: -0.019393 Loss_G: 0.021798 Loss_D_real: -0.030092 Loss_D_fake -0.010699
[1280/5000][370/535][132075] Loss_D: -0.021443 Loss_G: -0.002647 Loss_D_real: -0.008035 Loss_D_fake 0.013408
[1280/5000][375/535][132076] Loss_D: -0.019460 Loss_G: 0.004987 Loss_D_real: -0.019105 Loss_D_fake 0.000354
[1280/5000][380/535][132077] Loss_D: -0.022001 Loss_G: -0.003454 Loss_D_real: -0.019269 Loss_D_fake 0.002731
[1280/5000][385/535][132078] Loss_D: -0.019981 Loss_G: 0.004647 Loss_D_real: -0.007945 Loss_D_fake 0.012036
[1280/5000][390/535][132079] Loss_D: -0.020836 Loss_G: 0.011732 Loss_D_real: -0.007586 Loss_D_fake 0.013250
[1280/5000][395/535][132080] Loss_D: -0.019517 Loss_G: 0.011889 Loss_D_real: -0.001165 Loss_D_fake 0.018352
[1280/5000][400/535][132081] Loss_D: -0.019065 Loss_G: 0.000231 Loss_D_real: -0.013982 Loss_D_fake 0.005083
[1280/5000][405/535][132082] Loss_D: -0.019606 Loss_G: 0.012708 Loss_D_real: -0.023149 Loss_D_fake -0.003543
[1280/5000][410/535][132083] Loss_D: -0.019865 Loss_G: 0.012707 Loss_D_real: -0.025140 Loss_D_fake -0.005275
[1280/5000][415/535][132084] Loss_D: -0.019053 Loss_G: 0.026208 Loss_D_real: -0.025593 Loss_D_fake -0.006540
[1280/5000][420/535][132085] Loss_D: -0.021278 Loss_G: -0.003937 Loss_D_real: -0.021097 Loss_D_fake 0.000181
[1280/5000][425/535][132086] Loss_D: -0.019536 Loss_G: 0.037059 Loss_D_real: -0.021670 Loss_D_fake -0.002134
[1280/5000][430/535][132087] Loss_D: -0.020522 Loss_G: -0.023079 Loss_D_real: -0.004232 Loss_D_fake 0.016290
[1280/5000][435/535][132088] Loss_D: -0.020362 Loss_G: 0.012798 Loss_D_real: -0.016930 Loss_D_fake 0.003433
[1280/5000][440/535][132089] Loss_D: -0.020321 Loss_G: 0.012249 Loss_D_real: -0.011573 Loss_D_fake 0.008748
[1280/5000][445/535][132090] Loss_D: -0.019751 Loss_G: -0.004459 Loss_D_real: -0.011764 Loss_D_fake 0.007987
[1280/5000][450/535][132091] Loss_D: -0.019802 Loss_G: 0.010303 Loss_D_real: -0.022053 Loss_D_fake -0.002251
[1280/5000][455/535][132092] Loss_D: -0.020779 Loss_G: 0.020231 Loss_D_real: -0.024553 Loss_D_fake -0.003775
[1280/5000][460/535][132093] Loss_D: -0.019530 Loss_G: 0.008223 Loss_D_real: -0.017605 Loss_D_fake 0.001926
[1280/5000][465/535][132094] Loss_D: -0.020583 Loss_G: 0.004889 Loss_D_real: -0.032204 Loss_D_fake -0.011621
[1280/5000][470/535][132095] Loss_D: -0.019723 Loss_G: 0.003488 Loss_D_real: -0.013898 Loss_D_fake 0.005825
[1280/5000][475/535][132096] Loss_D: -0.020891 Loss_G: -0.003473 Loss_D_real: -0.006481 Loss_D_fake 0.014411
[1280/5000][480/535][132097] Loss_D: -0.020531 Loss_G: -0.000710 Loss_D_real: -0.008183 Loss_D_fake 0.012348
[1280/5000][485/535][132098] Loss_D: -0.019492 Loss_G: 0.003184 Loss_D_real: -0.009352 Loss_D_fake 0.010140
[1280/5000][490/535][132099] Loss_D: -0.018969 Loss_G: -0.006261 Loss_D_real: -0.015059 Loss_D_fake 0.003911
[1280/5000][495/535][132100] Loss_D: -0.020209 Loss_G: 0.001006 Loss_D_real: -0.018596 Loss_D_fake 0.001614
[1280/5000][500/535][132101] Loss_D: -0.019656 Loss_G: -0.014485 Loss_D_real: 0.000106 Loss_D_fake 0.019762
[1280/5000][505/535][132102] Loss_D: -0.017871 Loss_G: 0.018289 Loss_D_real: -0.025065 Loss_D_fake -0.007194
[1280/5000][510/535][132103] Loss_D: -0.018896 Loss_G: 0.013381 Loss_D_real: -0.017206 Loss_D_fake 0.001690
[1280/5000][515/535][132104] Loss_D: -0.019450 Loss_G: -0.012532 Loss_D_real: -0.012768 Loss_D_fake 0.006682
[1280/5000][520/535][132105] Loss_D: -0.019175 Loss_G: 0.007704 Loss_D_real: -0.005026 Loss_D_fake 0.014149
[1280/5000][525/535][132106] Loss_D: -0.018862 Loss_G: 0.010354 Loss_D_real: -0.007207 Loss_D_fake 0.011655
[1280/5000][530/535][132107] Loss_D: -0.019760 Loss_G: 0.029644 Loss_D_real: -0.030264 Loss_D_fake -0.010503
[1280/5000][535/535][132108] Loss_D: -0.018616 Loss_G: 0.019308 Loss_D_real: -0.016731 Loss_D_fake 0.001885
[1281/5000][5/535][132109] Loss_D: -0.020714 Loss_G: -0.003925 Loss_D_real: -0.023851 Loss_D_fake -0.003137
[1281/5000][10/535][132110] Loss_D: -0.019242 Loss_G: 0.018894 Loss_D_real: -0.013976 Loss_D_fake 0.005266
[1281/5000][15/535][132111] Loss_D: -0.019358 Loss_G: 0.008251 Loss_D_real: -0.031124 Loss_D_fake -0.011766
[1281/5000][20/535][132112] Loss_D: -0.020200 Loss_G: 0.002772 Loss_D_real: -0.015058 Loss_D_fake 0.005142
[1281/5000][25/535][132113] Loss_D: -0.020049 Loss_G: -0.000447 Loss_D_real: 0.001707 Loss_D_fake 0.021756
[1281/5000][30/535][132114] Loss_D: -0.020711 Loss_G: 0.002434 Loss_D_real: -0.012188 Loss_D_fake 0.008523
[1281/5000][35/535][132115] Loss_D: -0.020124 Loss_G: 0.013815 Loss_D_real: -0.022549 Loss_D_fake -0.002425
[1281/5000][40/535][132116] Loss_D: -0.020419 Loss_G: 0.005253 Loss_D_real: -0.011862 Loss_D_fake 0.008557
[1281/5000][45/535][132117] Loss_D: -0.020662 Loss_G: 0.002997 Loss_D_real: -0.014450 Loss_D_fake 0.006212
[1281/5000][50/535][132118] Loss_D: -0.019883 Loss_G: 0.010964 Loss_D_real: -0.018105 Loss_D_fake 0.001778
[1281/5000][55/535][132119] Loss_D: -0.019784 Loss_G: 0.007874 Loss_D_real: -0.021595 Loss_D_fake -0.001811
[1281/5000][60/535][132120] Loss_D: -0.020783 Loss_G: 0.019883 Loss_D_real: -0.023052 Loss_D_fake -0.002269
[1281/5000][65/535][132121] Loss_D: -0.019144 Loss_G: 0.014159 Loss_D_real: -0.025669 Loss_D_fake -0.006525
[1281/5000][70/535][132122] Loss_D: -0.020261 Loss_G: 0.016432 Loss_D_real: -0.012388 Loss_D_fake 0.007873
[1281/5000][75/535][132123] Loss_D: -0.020346 Loss_G: 0.006844 Loss_D_real: -0.011105 Loss_D_fake 0.009241
[1281/5000][80/535][132124] Loss_D: -0.019870 Loss_G: -0.003173 Loss_D_real: -0.007408 Loss_D_fake 0.012462
[1281/5000][85/535][132125] Loss_D: -0.018706 Loss_G: -0.026196 Loss_D_real: 0.005836 Loss_D_fake 0.024542
[1281/5000][90/535][132126] Loss_D: -0.020493 Loss_G: 0.006379 Loss_D_real: -0.018225 Loss_D_fake 0.002268
[1281/5000][95/535][132127] Loss_D: -0.019158 Loss_G: 0.010463 Loss_D_real: -0.018342 Loss_D_fake 0.000816
[1281/5000][100/535][132128] Loss_D: -0.020010 Loss_G: 0.010444 Loss_D_real: -0.021585 Loss_D_fake -0.001575
[1281/5000][105/535][132129] Loss_D: -0.020389 Loss_G: -0.002443 Loss_D_real: -0.007943 Loss_D_fake 0.012446
[1281/5000][110/535][132130] Loss_D: -0.018423 Loss_G: -0.000251 Loss_D_real: 0.007188 Loss_D_fake 0.025611
[1281/5000][115/535][132131] Loss_D: -0.019704 Loss_G: -0.000468 Loss_D_real: -0.016407 Loss_D_fake 0.003297
[1281/5000][120/535][132132] Loss_D: -0.021964 Loss_G: 0.015627 Loss_D_real: -0.016610 Loss_D_fake 0.005355
[1281/5000][125/535][132133] Loss_D: -0.020749 Loss_G: 0.008775 Loss_D_real: -0.015889 Loss_D_fake 0.004860
[1281/5000][130/535][132134] Loss_D: -0.020424 Loss_G: 0.004969 Loss_D_real: -0.023755 Loss_D_fake -0.003331
[1281/5000][135/535][132135] Loss_D: -0.019626 Loss_G: -0.001692 Loss_D_real: -0.017999 Loss_D_fake 0.001627
[1281/5000][140/535][132136] Loss_D: -0.020266 Loss_G: -0.002232 Loss_D_real: -0.004552 Loss_D_fake 0.015714
[1281/5000][145/535][132137] Loss_D: -0.018887 Loss_G: 0.019016 Loss_D_real: -0.031760 Loss_D_fake -0.012872
[1281/5000][150/535][132138] Loss_D: -0.019526 Loss_G: -0.002907 Loss_D_real: 0.003702 Loss_D_fake 0.023228
[1281/5000][155/535][132139] Loss_D: -0.021000 Loss_G: 0.013047 Loss_D_real: -0.012850 Loss_D_fake 0.008150
[1281/5000][160/535][132140] Loss_D: -0.020287 Loss_G: 0.014079 Loss_D_real: -0.020544 Loss_D_fake -0.000258
[1281/5000][165/535][132141] Loss_D: -0.019457 Loss_G: 0.001418 Loss_D_real: -0.020005 Loss_D_fake -0.000548
[1281/5000][170/535][132142] Loss_D: -0.020861 Loss_G: 0.004971 Loss_D_real: -0.009062 Loss_D_fake 0.011799
[1281/5000][175/535][132143] Loss_D: -0.019948 Loss_G: -0.026009 Loss_D_real: 0.004054 Loss_D_fake 0.024002
[1281/5000][180/535][132144] Loss_D: -0.019387 Loss_G: 0.004774 Loss_D_real: -0.019474 Loss_D_fake -0.000087
[1281/5000][185/535][132145] Loss_D: -0.020038 Loss_G: 0.011853 Loss_D_real: -0.027688 Loss_D_fake -0.007650
[1281/5000][190/535][132146] Loss_D: -0.019741 Loss_G: 0.020669 Loss_D_real: -0.031529 Loss_D_fake -0.011788
[1281/5000][195/535][132147] Loss_D: -0.019222 Loss_G: 0.012182 Loss_D_real: -0.023843 Loss_D_fake -0.004621
[1281/5000][200/535][132148] Loss_D: -0.018939 Loss_G: -0.016311 Loss_D_real: -0.001424 Loss_D_fake 0.017516
[1281/5000][205/535][132149] Loss_D: -0.018593 Loss_G: -0.013124 Loss_D_real: -0.012029 Loss_D_fake 0.006564
[1281/5000][210/535][132150] Loss_D: -0.018933 Loss_G: 0.021668 Loss_D_real: -0.024118 Loss_D_fake -0.005185
[1281/5000][215/535][132151] Loss_D: -0.021255 Loss_G: 0.003081 Loss_D_real: -0.008786 Loss_D_fake 0.012468
[1281/5000][220/535][132152] Loss_D: -0.020226 Loss_G: -0.010640 Loss_D_real: 0.000812 Loss_D_fake 0.021038
[1281/5000][225/535][132153] Loss_D: -0.020727 Loss_G: 0.009319 Loss_D_real: -0.002844 Loss_D_fake 0.017884
[1281/5000][230/535][132154] Loss_D: -0.018362 Loss_G: -0.001363 Loss_D_real: -0.003749 Loss_D_fake 0.014612
[1281/5000][235/535][132155] Loss_D: -0.021042 Loss_G: 0.015418 Loss_D_real: -0.027547 Loss_D_fake -0.006505
[1281/5000][240/535][132156] Loss_D: -0.020158 Loss_G: 0.005046 Loss_D_real: -0.005802 Loss_D_fake 0.014356
[1281/5000][245/535][132157] Loss_D: -0.020669 Loss_G: -0.011768 Loss_D_real: 0.001296 Loss_D_fake 0.021964
[1281/5000][250/535][132158] Loss_D: -0.021801 Loss_G: 0.012939 Loss_D_real: -0.010330 Loss_D_fake 0.011471
[1281/5000][255/535][132159] Loss_D: -0.018978 Loss_G: 0.005327 Loss_D_real: -0.021252 Loss_D_fake -0.002274
[1281/5000][260/535][132160] Loss_D: -0.019906 Loss_G: -0.001957 Loss_D_real: -0.005663 Loss_D_fake 0.014244
[1281/5000][265/535][132161] Loss_D: -0.020866 Loss_G: 0.011976 Loss_D_real: -0.023854 Loss_D_fake -0.002988
[1281/5000][270/535][132162] Loss_D: -0.019061 Loss_G: 0.025355 Loss_D_real: -0.027715 Loss_D_fake -0.008654
[1281/5000][275/535][132163] Loss_D: -0.019652 Loss_G: 0.006004 Loss_D_real: -0.017701 Loss_D_fake 0.001951
[1281/5000][280/535][132164] Loss_D: -0.019706 Loss_G: 0.018343 Loss_D_real: -0.015956 Loss_D_fake 0.003750
[1281/5000][285/535][132165] Loss_D: -0.020950 Loss_G: 0.016059 Loss_D_real: -0.019743 Loss_D_fake 0.001207
[1281/5000][290/535][132166] Loss_D: -0.019940 Loss_G: -0.014224 Loss_D_real: -0.011169 Loss_D_fake 0.008771
[1281/5000][295/535][132167] Loss_D: -0.020492 Loss_G: 0.003856 Loss_D_real: -0.006293 Loss_D_fake 0.014199
[1281/5000][300/535][132168] Loss_D: -0.020015 Loss_G: -0.000817 Loss_D_real: -0.003765 Loss_D_fake 0.016250
[1281/5000][305/535][132169] Loss_D: -0.021218 Loss_G: 0.013069 Loss_D_real: -0.012279 Loss_D_fake 0.008939
[1281/5000][310/535][132170] Loss_D: -0.019291 Loss_G: 0.020797 Loss_D_real: -0.018068 Loss_D_fake 0.001223
[1281/5000][315/535][132171] Loss_D: -0.021672 Loss_G: -0.005769 Loss_D_real: -0.027995 Loss_D_fake -0.006323
[1281/5000][320/535][132172] Loss_D: -0.019782 Loss_G: 0.025625 Loss_D_real: -0.021781 Loss_D_fake -0.001999
[1281/5000][325/535][132173] Loss_D: -0.022041 Loss_G: -0.007762 Loss_D_real: -0.020317 Loss_D_fake 0.001724
[1281/5000][330/535][132174] Loss_D: -0.019461 Loss_G: 0.016506 Loss_D_real: -0.023813 Loss_D_fake -0.004352
[1281/5000][335/535][132175] Loss_D: -0.020940 Loss_G: -0.000979 Loss_D_real: -0.023126 Loss_D_fake -0.002186
[1281/5000][340/535][132176] Loss_D: -0.021662 Loss_G: -0.005448 Loss_D_real: -0.012587 Loss_D_fake 0.009075
[1281/5000][345/535][132177] Loss_D: -0.020436 Loss_G: 0.007622 Loss_D_real: -0.024821 Loss_D_fake -0.004384
[1281/5000][350/535][132178] Loss_D: -0.019889 Loss_G: -0.005839 Loss_D_real: -0.004031 Loss_D_fake 0.015858
[1281/5000][355/535][132179] Loss_D: -0.018848 Loss_G: 0.016119 Loss_D_real: -0.019285 Loss_D_fake -0.000437
[1281/5000][360/535][132180] Loss_D: -0.021814 Loss_G: -0.001242 Loss_D_real: -0.021226 Loss_D_fake 0.000588
[1281/5000][365/535][132181] Loss_D: -0.020039 Loss_G: -0.001832 Loss_D_real: -0.008833 Loss_D_fake 0.011205
[1281/5000][370/535][132182] Loss_D: -0.019541 Loss_G: 0.000399 Loss_D_real: -0.006844 Loss_D_fake 0.012697
[1281/5000][375/535][132183] Loss_D: -0.018837 Loss_G: -0.000237 Loss_D_real: -0.008233 Loss_D_fake 0.010604
[1281/5000][380/535][132184] Loss_D: -0.018883 Loss_G: 0.000645 Loss_D_real: -0.000762 Loss_D_fake 0.018121
[1281/5000][385/535][132185] Loss_D: -0.018736 Loss_G: 0.009448 Loss_D_real: -0.017525 Loss_D_fake 0.001210
[1281/5000][390/535][132186] Loss_D: -0.020473 Loss_G: 0.004856 Loss_D_real: -0.022568 Loss_D_fake -0.002095
[1281/5000][395/535][132187] Loss_D: -0.019673 Loss_G: 0.011750 Loss_D_real: -0.012562 Loss_D_fake 0.007111
[1281/5000][400/535][132188] Loss_D: -0.018728 Loss_G: -0.005762 Loss_D_real: -0.002632 Loss_D_fake 0.016097
[1281/5000][405/535][132189] Loss_D: -0.020855 Loss_G: 0.012455 Loss_D_real: -0.019665 Loss_D_fake 0.001190
[1281/5000][410/535][132190] Loss_D: -0.019798 Loss_G: 0.015142 Loss_D_real: -0.029632 Loss_D_fake -0.009834
[1281/5000][415/535][132191] Loss_D: -0.020811 Loss_G: 0.009708 Loss_D_real: -0.022429 Loss_D_fake -0.001618
[1281/5000][420/535][132192] Loss_D: -0.020650 Loss_G: -0.000028 Loss_D_real: -0.009285 Loss_D_fake 0.011365
[1281/5000][425/535][132193] Loss_D: -0.019480 Loss_G: 0.001712 Loss_D_real: -0.022172 Loss_D_fake -0.002692
[1281/5000][430/535][132194] Loss_D: -0.020741 Loss_G: 0.010694 Loss_D_real: -0.011401 Loss_D_fake 0.009340
[1281/5000][435/535][132195] Loss_D: -0.019411 Loss_G: 0.006477 Loss_D_real: -0.017188 Loss_D_fake 0.002223
[1281/5000][440/535][132196] Loss_D: -0.021772 Loss_G: 0.011713 Loss_D_real: -0.017663 Loss_D_fake 0.004109
[1281/5000][445/535][132197] Loss_D: -0.019346 Loss_G: 0.009892 Loss_D_real: -0.028901 Loss_D_fake -0.009555
[1281/5000][450/535][132198] Loss_D: -0.020453 Loss_G: 0.002831 Loss_D_real: -0.008860 Loss_D_fake 0.011594
[1281/5000][455/535][132199] Loss_D: -0.019935 Loss_G: 0.020410 Loss_D_real: -0.022555 Loss_D_fake -0.002619
[1281/5000][460/535][132200] Loss_D: -0.019351 Loss_G: -0.004406 Loss_D_real: -0.000996 Loss_D_fake 0.018355
[1281/5000][465/535][132201] Loss_D: -0.019849 Loss_G: 0.008532 Loss_D_real: -0.019761 Loss_D_fake 0.000088
[1281/5000][470/535][132202] Loss_D: -0.018990 Loss_G: -0.007656 Loss_D_real: -0.003056 Loss_D_fake 0.015934
[1281/5000][475/535][132203] Loss_D: -0.020624 Loss_G: -0.007771 Loss_D_real: -0.012253 Loss_D_fake 0.008371
[1281/5000][480/535][132204] Loss_D: -0.018432 Loss_G: 0.001417 Loss_D_real: -0.009514 Loss_D_fake 0.008918
[1281/5000][485/535][132205] Loss_D: -0.019787 Loss_G: 0.007671 Loss_D_real: -0.012885 Loss_D_fake 0.006902
[1281/5000][490/535][132206] Loss_D: -0.020878 Loss_G: -0.004710 Loss_D_real: -0.030317 Loss_D_fake -0.009438
[1281/5000][495/535][132207] Loss_D: -0.020160 Loss_G: -0.008492 Loss_D_real: -0.014803 Loss_D_fake 0.005357
[1281/5000][500/535][132208] Loss_D: -0.020295 Loss_G: 0.005265 Loss_D_real: -0.012999 Loss_D_fake 0.007296
[1281/5000][505/535][132209] Loss_D: -0.020632 Loss_G: 0.011461 Loss_D_real: -0.016605 Loss_D_fake 0.004027
[1281/5000][510/535][132210] Loss_D: -0.019108 Loss_G: -0.015563 Loss_D_real: -0.012376 Loss_D_fake 0.006732
[1281/5000][515/535][132211] Loss_D: -0.018621 Loss_G: 0.021016 Loss_D_real: -0.021313 Loss_D_fake -0.002693
[1281/5000][520/535][132212] Loss_D: -0.019807 Loss_G: -0.000438 Loss_D_real: -0.009329 Loss_D_fake 0.010478
[1281/5000][525/535][132213] Loss_D: -0.018955 Loss_G: 0.002094 Loss_D_real: -0.026616 Loss_D_fake -0.007662
[1281/5000][530/535][132214] Loss_D: -0.020503 Loss_G: -0.000304 Loss_D_real: -0.015130 Loss_D_fake 0.005373
[1281/5000][535/535][132215] Loss_D: -0.021433 Loss_G: 0.034771 Loss_D_real: -0.013438 Loss_D_fake 0.007995
[1282/5000][5/535][132216] Loss_D: -0.020109 Loss_G: 0.010184 Loss_D_real: -0.012747 Loss_D_fake 0.007362
[1282/5000][10/535][132217] Loss_D: -0.019920 Loss_G: -0.005764 Loss_D_real: -0.011197 Loss_D_fake 0.008723
[1282/5000][15/535][132218] Loss_D: -0.019217 Loss_G: 0.023766 Loss_D_real: -0.031790 Loss_D_fake -0.012573
[1282/5000][20/535][132219] Loss_D: -0.020281 Loss_G: 0.006332 Loss_D_real: -0.016357 Loss_D_fake 0.003924
[1282/5000][25/535][132220] Loss_D: -0.017450 Loss_G: 0.025641 Loss_D_real: -0.035873 Loss_D_fake -0.018423
[1282/5000][30/535][132221] Loss_D: -0.020041 Loss_G: -0.000883 Loss_D_real: -0.008385 Loss_D_fake 0.011656
[1282/5000][35/535][132222] Loss_D: -0.019626 Loss_G: -0.013042 Loss_D_real: 0.002205 Loss_D_fake 0.021832
[1282/5000][40/535][132223] Loss_D: -0.019790 Loss_G: 0.010239 Loss_D_real: -0.027228 Loss_D_fake -0.007438
[1282/5000][45/535][132224] Loss_D: -0.019530 Loss_G: -0.000087 Loss_D_real: -0.018503 Loss_D_fake 0.001027
[1282/5000][50/535][132225] Loss_D: -0.020342 Loss_G: 0.007062 Loss_D_real: -0.015030 Loss_D_fake 0.005313
[1282/5000][55/535][132226] Loss_D: -0.020388 Loss_G: 0.000030 Loss_D_real: -0.023393 Loss_D_fake -0.003006
[1282/5000][60/535][132227] Loss_D: -0.019733 Loss_G: 0.019541 Loss_D_real: -0.031570 Loss_D_fake -0.011837
[1282/5000][65/535][132228] Loss_D: -0.019881 Loss_G: 0.002462 Loss_D_real: -0.021924 Loss_D_fake -0.002043
[1282/5000][70/535][132229] Loss_D: -0.021076 Loss_G: 0.018198 Loss_D_real: -0.006988 Loss_D_fake 0.014088
[1282/5000][75/535][132230] Loss_D: -0.019720 Loss_G: 0.020072 Loss_D_real: -0.032575 Loss_D_fake -0.012855
[1282/5000][80/535][132231] Loss_D: -0.021637 Loss_G: 0.014097 Loss_D_real: -0.015863 Loss_D_fake 0.005773
[1282/5000][85/535][132232] Loss_D: -0.018811 Loss_G: 0.007374 Loss_D_real: -0.027406 Loss_D_fake -0.008595
[1282/5000][90/535][132233] Loss_D: -0.020780 Loss_G: 0.014433 Loss_D_real: -0.026033 Loss_D_fake -0.005254
[1282/5000][95/535][132234] Loss_D: -0.019626 Loss_G: -0.014061 Loss_D_real: -0.002999 Loss_D_fake 0.016627
[1282/5000][100/535][132235] Loss_D: -0.018776 Loss_G: 0.011274 Loss_D_real: -0.014367 Loss_D_fake 0.004409
[1282/5000][105/535][132236] Loss_D: -0.019437 Loss_G: 0.016528 Loss_D_real: -0.019612 Loss_D_fake -0.000175
[1282/5000][110/535][132237] Loss_D: -0.019420 Loss_G: -0.022714 Loss_D_real: -0.000715 Loss_D_fake 0.018705
[1282/5000][115/535][132238] Loss_D: -0.018217 Loss_G: -0.008593 Loss_D_real: 0.007720 Loss_D_fake 0.025937
[1282/5000][120/535][132239] Loss_D: -0.019387 Loss_G: -0.005746 Loss_D_real: -0.006867 Loss_D_fake 0.012520
[1282/5000][125/535][132240] Loss_D: -0.019247 Loss_G: -0.004179 Loss_D_real: -0.007475 Loss_D_fake 0.011772
[1282/5000][130/535][132241] Loss_D: -0.019295 Loss_G: -0.000833 Loss_D_real: -0.013210 Loss_D_fake 0.006085
[1282/5000][135/535][132242] Loss_D: -0.019059 Loss_G: 0.020787 Loss_D_real: -0.009314 Loss_D_fake 0.009745
[1282/5000][140/535][132243] Loss_D: -0.020062 Loss_G: 0.005339 Loss_D_real: -0.006776 Loss_D_fake 0.013286
[1282/5000][145/535][132244] Loss_D: -0.021436 Loss_G: 0.013626 Loss_D_real: -0.015013 Loss_D_fake 0.006423
[1282/5000][150/535][132245] Loss_D: -0.020020 Loss_G: 0.012905 Loss_D_real: -0.028832 Loss_D_fake -0.008812
[1282/5000][155/535][132246] Loss_D: -0.020453 Loss_G: 0.013625 Loss_D_real: -0.018084 Loss_D_fake 0.002369
[1282/5000][160/535][132247] Loss_D: -0.020128 Loss_G: 0.008796 Loss_D_real: -0.023896 Loss_D_fake -0.003767
[1282/5000][165/535][132248] Loss_D: -0.019465 Loss_G: -0.007382 Loss_D_real: -0.009718 Loss_D_fake 0.009747
[1282/5000][170/535][132249] Loss_D: -0.019376 Loss_G: -0.004963 Loss_D_real: -0.005491 Loss_D_fake 0.013885
[1282/5000][175/535][132250] Loss_D: -0.020180 Loss_G: 0.023648 Loss_D_real: -0.026309 Loss_D_fake -0.006129
[1282/5000][180/535][132251] Loss_D: -0.020355 Loss_G: 0.013978 Loss_D_real: -0.028006 Loss_D_fake -0.007650
[1282/5000][185/535][132252] Loss_D: -0.019378 Loss_G: 0.012180 Loss_D_real: -0.035411 Loss_D_fake -0.016033
[1282/5000][190/535][132253] Loss_D: -0.019933 Loss_G: 0.017192 Loss_D_real: -0.015562 Loss_D_fake 0.004371
[1282/5000][195/535][132254] Loss_D: -0.018734 Loss_G: -0.003172 Loss_D_real: -0.015475 Loss_D_fake 0.003259
[1282/5000][200/535][132255] Loss_D: -0.020135 Loss_G: 0.001858 Loss_D_real: -0.005169 Loss_D_fake 0.014967
[1282/5000][205/535][132256] Loss_D: -0.018147 Loss_G: 0.000163 Loss_D_real: -0.011043 Loss_D_fake 0.007104
[1282/5000][210/535][132257] Loss_D: -0.019564 Loss_G: 0.004281 Loss_D_real: -0.018354 Loss_D_fake 0.001210
[1282/5000][215/535][132258] Loss_D: -0.020069 Loss_G: 0.012257 Loss_D_real: -0.035809 Loss_D_fake -0.015741
[1282/5000][220/535][132259] Loss_D: -0.020064 Loss_G: 0.018323 Loss_D_real: -0.027109 Loss_D_fake -0.007045
[1282/5000][225/535][132260] Loss_D: -0.019243 Loss_G: -0.002864 Loss_D_real: -0.004344 Loss_D_fake 0.014899
[1282/5000][230/535][132261] Loss_D: -0.018830 Loss_G: 0.011756 Loss_D_real: -0.019929 Loss_D_fake -0.001099
[1282/5000][235/535][132262] Loss_D: -0.020944 Loss_G: 0.002140 Loss_D_real: -0.018458 Loss_D_fake 0.002486
[1282/5000][240/535][132263] Loss_D: -0.020897 Loss_G: -0.003168 Loss_D_real: -0.003116 Loss_D_fake 0.017782
[1282/5000][245/535][132264] Loss_D: -0.019595 Loss_G: 0.012449 Loss_D_real: -0.016702 Loss_D_fake 0.002893
[1282/5000][250/535][132265] Loss_D: -0.020778 Loss_G: 0.002374 Loss_D_real: -0.014561 Loss_D_fake 0.006217
[1282/5000][255/535][132266] Loss_D: -0.018337 Loss_G: 0.009399 Loss_D_real: -0.032911 Loss_D_fake -0.014574
[1282/5000][260/535][132267] Loss_D: -0.019503 Loss_G: 0.002696 Loss_D_real: -0.003015 Loss_D_fake 0.016487
[1282/5000][265/535][132268] Loss_D: -0.019779 Loss_G: 0.011662 Loss_D_real: -0.019469 Loss_D_fake 0.000310
[1282/5000][270/535][132269] Loss_D: -0.019630 Loss_G: -0.009135 Loss_D_real: 0.005818 Loss_D_fake 0.025447
[1282/5000][275/535][132270] Loss_D: -0.020469 Loss_G: 0.014064 Loss_D_real: -0.013898 Loss_D_fake 0.006571
[1282/5000][280/535][132271] Loss_D: -0.020394 Loss_G: 0.010366 Loss_D_real: -0.023737 Loss_D_fake -0.003343
[1282/5000][285/535][132272] Loss_D: -0.019976 Loss_G: 0.011519 Loss_D_real: -0.018122 Loss_D_fake 0.001853
[1282/5000][290/535][132273] Loss_D: -0.019529 Loss_G: -0.007341 Loss_D_real: -0.014618 Loss_D_fake 0.004912
[1282/5000][295/535][132274] Loss_D: -0.020531 Loss_G: 0.017346 Loss_D_real: -0.014258 Loss_D_fake 0.006272
[1282/5000][300/535][132275] Loss_D: -0.020046 Loss_G: -0.001488 Loss_D_real: -0.008832 Loss_D_fake 0.011214
[1282/5000][305/535][132276] Loss_D: -0.019775 Loss_G: 0.024392 Loss_D_real: -0.023904 Loss_D_fake -0.004129
[1282/5000][310/535][132277] Loss_D: -0.019274 Loss_G: -0.008572 Loss_D_real: 0.008204 Loss_D_fake 0.027477
[1282/5000][315/535][132278] Loss_D: -0.020663 Loss_G: 0.010669 Loss_D_real: -0.009105 Loss_D_fake 0.011558
[1282/5000][320/535][132279] Loss_D: -0.020640 Loss_G: 0.012036 Loss_D_real: -0.018103 Loss_D_fake 0.002537
[1282/5000][325/535][132280] Loss_D: -0.019436 Loss_G: 0.002924 Loss_D_real: -0.001778 Loss_D_fake 0.017658
[1282/5000][330/535][132281] Loss_D: -0.018928 Loss_G: 0.024899 Loss_D_real: -0.027117 Loss_D_fake -0.008189
[1282/5000][335/535][132282] Loss_D: -0.018687 Loss_G: 0.019328 Loss_D_real: -0.019024 Loss_D_fake -0.000337
[1282/5000][340/535][132283] Loss_D: -0.017611 Loss_G: 0.023034 Loss_D_real: -0.035094 Loss_D_fake -0.017483
[1282/5000][345/535][132284] Loss_D: -0.020684 Loss_G: -0.012915 Loss_D_real: -0.014372 Loss_D_fake 0.006313
[1282/5000][350/535][132285] Loss_D: -0.019115 Loss_G: 0.020516 Loss_D_real: -0.031837 Loss_D_fake -0.012723
[1282/5000][355/535][132286] Loss_D: -0.021114 Loss_G: -0.000204 Loss_D_real: -0.018874 Loss_D_fake 0.002240
[1282/5000][360/535][132287] Loss_D: -0.020266 Loss_G: 0.005238 Loss_D_real: -0.010481 Loss_D_fake 0.009785
[1282/5000][365/535][132288] Loss_D: -0.020291 Loss_G: 0.005513 Loss_D_real: -0.022373 Loss_D_fake -0.002082
[1282/5000][370/535][132289] Loss_D: -0.020995 Loss_G: -0.010822 Loss_D_real: -0.010552 Loss_D_fake 0.010443
[1282/5000][375/535][132290] Loss_D: -0.019877 Loss_G: 0.001853 Loss_D_real: -0.008582 Loss_D_fake 0.011295
[1282/5000][380/535][132291] Loss_D: -0.019773 Loss_G: 0.015180 Loss_D_real: -0.023684 Loss_D_fake -0.003911
[1282/5000][385/535][132292] Loss_D: -0.019158 Loss_G: 0.012392 Loss_D_real: -0.012975 Loss_D_fake 0.006183
[1282/5000][390/535][132293] Loss_D: -0.019476 Loss_G: 0.010649 Loss_D_real: 0.001198 Loss_D_fake 0.020674
[1282/5000][395/535][132294] Loss_D: -0.019113 Loss_G: 0.011815 Loss_D_real: -0.016372 Loss_D_fake 0.002741
[1282/5000][400/535][132295] Loss_D: -0.019759 Loss_G: 0.005556 Loss_D_real: -0.010018 Loss_D_fake 0.009740
[1282/5000][405/535][132296] Loss_D: -0.020603 Loss_G: 0.013780 Loss_D_real: -0.016879 Loss_D_fake 0.003724
[1282/5000][410/535][132297] Loss_D: -0.020067 Loss_G: -0.014395 Loss_D_real: -0.016834 Loss_D_fake 0.003233
[1282/5000][415/535][132298] Loss_D: -0.020878 Loss_G: -0.008571 Loss_D_real: 0.002161 Loss_D_fake 0.023039
[1282/5000][420/535][132299] Loss_D: -0.020203 Loss_G: 0.015298 Loss_D_real: -0.026339 Loss_D_fake -0.006136
[1282/5000][425/535][132300] Loss_D: -0.020558 Loss_G: 0.014428 Loss_D_real: -0.013082 Loss_D_fake 0.007477
[1282/5000][430/535][132301] Loss_D: -0.018472 Loss_G: 0.011522 Loss_D_real: -0.020602 Loss_D_fake -0.002130
[1282/5000][435/535][132302] Loss_D: -0.019451 Loss_G: 0.023071 Loss_D_real: -0.029193 Loss_D_fake -0.009742
[1282/5000][440/535][132303] Loss_D: -0.020160 Loss_G: 0.014945 Loss_D_real: -0.023009 Loss_D_fake -0.002849
[1282/5000][445/535][132304] Loss_D: -0.019597 Loss_G: -0.009130 Loss_D_real: -0.009280 Loss_D_fake 0.010318
[1282/5000][450/535][132305] Loss_D: -0.019920 Loss_G: 0.005546 Loss_D_real: -0.017142 Loss_D_fake 0.002778
[1282/5000][455/535][132306] Loss_D: -0.021241 Loss_G: -0.001968 Loss_D_real: -0.007260 Loss_D_fake 0.013980
[1282/5000][460/535][132307] Loss_D: -0.019144 Loss_G: -0.010869 Loss_D_real: -0.004406 Loss_D_fake 0.014738
[1282/5000][465/535][132308] Loss_D: -0.019622 Loss_G: 0.014141 Loss_D_real: -0.027752 Loss_D_fake -0.008130
[1282/5000][470/535][132309] Loss_D: -0.019890 Loss_G: 0.002621 Loss_D_real: -0.017275 Loss_D_fake 0.002614
[1282/5000][475/535][132310] Loss_D: -0.020724 Loss_G: -0.009353 Loss_D_real: -0.006016 Loss_D_fake 0.014708
[1282/5000][480/535][132311] Loss_D: -0.020212 Loss_G: 0.005386 Loss_D_real: -0.010755 Loss_D_fake 0.009457
[1282/5000][485/535][132312] Loss_D: -0.018837 Loss_G: 0.012223 Loss_D_real: -0.023388 Loss_D_fake -0.004551
[1282/5000][490/535][132313] Loss_D: -0.020210 Loss_G: 0.029708 Loss_D_real: -0.029421 Loss_D_fake -0.009211
[1282/5000][495/535][132314] Loss_D: -0.019267 Loss_G: 0.019724 Loss_D_real: -0.019056 Loss_D_fake 0.000211
[1282/5000][500/535][132315] Loss_D: -0.019484 Loss_G: 0.015523 Loss_D_real: -0.028232 Loss_D_fake -0.008748
[1282/5000][505/535][132316] Loss_D: -0.019711 Loss_G: 0.011849 Loss_D_real: -0.015721 Loss_D_fake 0.003990
[1282/5000][510/535][132317] Loss_D: -0.021066 Loss_G: 0.006073 Loss_D_real: -0.016353 Loss_D_fake 0.004713
[1282/5000][515/535][132318] Loss_D: -0.020018 Loss_G: 0.028445 Loss_D_real: -0.028700 Loss_D_fake -0.008682
[1282/5000][520/535][132319] Loss_D: -0.020444 Loss_G: 0.000562 Loss_D_real: -0.008308 Loss_D_fake 0.012136
[1282/5000][525/535][132320] Loss_D: -0.019554 Loss_G: -0.014927 Loss_D_real: -0.013422 Loss_D_fake 0.006132
[1282/5000][530/535][132321] Loss_D: -0.020032 Loss_G: -0.010840 Loss_D_real: 0.009075 Loss_D_fake 0.029107
[1282/5000][535/535][132322] Loss_D: -0.022205 Loss_G: 0.003832 Loss_D_real: -0.014179 Loss_D_fake 0.008026
[1283/5000][5/535][132323] Loss_D: -0.020609 Loss_G: 0.006554 Loss_D_real: -0.019653 Loss_D_fake 0.000956
[1283/5000][10/535][132324] Loss_D: -0.019641 Loss_G: -0.006085 Loss_D_real: -0.000761 Loss_D_fake 0.018880
[1283/5000][15/535][132325] Loss_D: -0.019307 Loss_G: 0.024239 Loss_D_real: -0.030285 Loss_D_fake -0.010979
[1283/5000][20/535][132326] Loss_D: -0.020189 Loss_G: 0.013262 Loss_D_real: -0.015047 Loss_D_fake 0.005142
[1283/5000][25/535][132327] Loss_D: -0.020189 Loss_G: -0.004993 Loss_D_real: -0.015122 Loss_D_fake 0.005067
[1283/5000][30/535][132328] Loss_D: -0.020081 Loss_G: -0.024529 Loss_D_real: -0.012422 Loss_D_fake 0.007659
[1283/5000][35/535][132329] Loss_D: -0.020602 Loss_G: 0.013208 Loss_D_real: -0.019095 Loss_D_fake 0.001508
[1283/5000][40/535][132330] Loss_D: -0.019287 Loss_G: 0.018174 Loss_D_real: -0.011476 Loss_D_fake 0.007811
[1283/5000][45/535][132331] Loss_D: -0.020012 Loss_G: 0.004230 Loss_D_real: -0.016617 Loss_D_fake 0.003395
[1283/5000][50/535][132332] Loss_D: -0.018821 Loss_G: 0.021448 Loss_D_real: -0.012556 Loss_D_fake 0.006265
[1283/5000][55/535][132333] Loss_D: -0.019789 Loss_G: 0.004151 Loss_D_real: -0.023806 Loss_D_fake -0.004017
[1283/5000][60/535][132334] Loss_D: -0.018929 Loss_G: -0.021686 Loss_D_real: -0.010870 Loss_D_fake 0.008059
[1283/5000][65/535][132335] Loss_D: -0.019437 Loss_G: 0.010092 Loss_D_real: -0.017696 Loss_D_fake 0.001741
[1283/5000][70/535][132336] Loss_D: -0.019788 Loss_G: 0.009275 Loss_D_real: -0.021877 Loss_D_fake -0.002089
[1283/5000][75/535][132337] Loss_D: -0.020862 Loss_G: -0.003868 Loss_D_real: -0.009748 Loss_D_fake 0.011114
[1283/5000][80/535][132338] Loss_D: -0.019535 Loss_G: 0.016970 Loss_D_real: -0.029556 Loss_D_fake -0.010021
[1283/5000][85/535][132339] Loss_D: -0.021589 Loss_G: 0.021939 Loss_D_real: -0.022595 Loss_D_fake -0.001006
[1283/5000][90/535][132340] Loss_D: -0.019503 Loss_G: 0.013108 Loss_D_real: -0.027934 Loss_D_fake -0.008431
[1283/5000][95/535][132341] Loss_D: -0.019057 Loss_G: 0.007821 Loss_D_real: -0.038450 Loss_D_fake -0.019393
[1283/5000][100/535][132342] Loss_D: -0.019255 Loss_G: -0.000158 Loss_D_real: -0.007821 Loss_D_fake 0.011434
[1283/5000][105/535][132343] Loss_D: -0.020826 Loss_G: -0.004278 Loss_D_real: -0.006441 Loss_D_fake 0.014385
[1283/5000][110/535][132344] Loss_D: -0.020372 Loss_G: 0.015981 Loss_D_real: -0.021955 Loss_D_fake -0.001583
[1283/5000][115/535][132345] Loss_D: -0.019995 Loss_G: 0.000596 Loss_D_real: -0.016559 Loss_D_fake 0.003436
[1283/5000][120/535][132346] Loss_D: -0.020123 Loss_G: 0.014242 Loss_D_real: -0.025814 Loss_D_fake -0.005691
[1283/5000][125/535][132347] Loss_D: -0.019096 Loss_G: 0.010024 Loss_D_real: -0.010018 Loss_D_fake 0.009078
[1283/5000][130/535][132348] Loss_D: -0.019185 Loss_G: -0.007891 Loss_D_real: -0.009941 Loss_D_fake 0.009244
[1283/5000][135/535][132349] Loss_D: -0.022028 Loss_G: 0.005944 Loss_D_real: -0.015406 Loss_D_fake 0.006623
[1283/5000][140/535][132350] Loss_D: -0.018763 Loss_G: 0.007645 Loss_D_real: -0.013740 Loss_D_fake 0.005022
[1283/5000][145/535][132351] Loss_D: -0.018644 Loss_G: 0.005939 Loss_D_real: -0.015913 Loss_D_fake 0.002731
[1283/5000][150/535][132352] Loss_D: -0.020197 Loss_G: -0.010695 Loss_D_real: -0.004689 Loss_D_fake 0.015508
[1283/5000][155/535][132353] Loss_D: -0.021096 Loss_G: -0.002829 Loss_D_real: -0.016016 Loss_D_fake 0.005080
[1283/5000][160/535][132354] Loss_D: -0.020635 Loss_G: 0.006045 Loss_D_real: -0.014904 Loss_D_fake 0.005732
[1283/5000][165/535][132355] Loss_D: -0.020075 Loss_G: -0.001999 Loss_D_real: -0.011005 Loss_D_fake 0.009070
[1283/5000][170/535][132356] Loss_D: -0.019902 Loss_G: 0.021691 Loss_D_real: -0.030919 Loss_D_fake -0.011016
[1283/5000][175/535][132357] Loss_D: -0.020683 Loss_G: 0.011080 Loss_D_real: -0.017701 Loss_D_fake 0.002982
[1283/5000][180/535][132358] Loss_D: -0.018995 Loss_G: 0.029835 Loss_D_real: -0.020444 Loss_D_fake -0.001448
[1283/5000][185/535][132359] Loss_D: -0.017169 Loss_G: -0.026337 Loss_D_real: 0.004164 Loss_D_fake 0.021333
[1283/5000][190/535][132360] Loss_D: -0.019561 Loss_G: 0.011145 Loss_D_real: -0.017854 Loss_D_fake 0.001707
[1283/5000][195/535][132361] Loss_D: -0.020206 Loss_G: -0.011859 Loss_D_real: -0.010252 Loss_D_fake 0.009954
[1283/5000][200/535][132362] Loss_D: -0.019176 Loss_G: 0.002782 Loss_D_real: -0.016315 Loss_D_fake 0.002861
[1283/5000][205/535][132363] Loss_D: -0.018818 Loss_G: 0.028601 Loss_D_real: -0.025612 Loss_D_fake -0.006794
[1283/5000][210/535][132364] Loss_D: -0.020158 Loss_G: -0.003595 Loss_D_real: -0.021304 Loss_D_fake -0.001146
[1283/5000][215/535][132365] Loss_D: -0.019261 Loss_G: -0.000502 Loss_D_real: -0.002133 Loss_D_fake 0.017128
[1283/5000][220/535][132366] Loss_D: -0.020278 Loss_G: 0.004795 Loss_D_real: -0.013961 Loss_D_fake 0.006316
[1283/5000][225/535][132367] Loss_D: -0.020250 Loss_G: 0.010966 Loss_D_real: -0.020052 Loss_D_fake 0.000198
[1283/5000][230/535][132368] Loss_D: -0.019812 Loss_G: 0.016898 Loss_D_real: -0.022313 Loss_D_fake -0.002501
[1283/5000][235/535][132369] Loss_D: -0.019727 Loss_G: 0.002851 Loss_D_real: -0.006502 Loss_D_fake 0.013225
[1283/5000][240/535][132370] Loss_D: -0.021157 Loss_G: 0.006638 Loss_D_real: -0.013390 Loss_D_fake 0.007766
[1283/5000][245/535][132371] Loss_D: -0.020964 Loss_G: 0.015747 Loss_D_real: -0.018789 Loss_D_fake 0.002176
[1283/5000][250/535][132372] Loss_D: -0.019816 Loss_G: 0.002286 Loss_D_real: -0.007413 Loss_D_fake 0.012402
[1283/5000][255/535][132373] Loss_D: -0.020772 Loss_G: 0.006764 Loss_D_real: -0.018212 Loss_D_fake 0.002560
[1283/5000][260/535][132374] Loss_D: -0.020270 Loss_G: -0.006478 Loss_D_real: -0.011669 Loss_D_fake 0.008602
[1283/5000][265/535][132375] Loss_D: -0.020005 Loss_G: -0.006286 Loss_D_real: -0.004359 Loss_D_fake 0.015646
[1283/5000][270/535][132376] Loss_D: -0.019628 Loss_G: 0.016952 Loss_D_real: -0.021960 Loss_D_fake -0.002332
[1283/5000][275/535][132377] Loss_D: -0.020032 Loss_G: 0.016676 Loss_D_real: -0.021520 Loss_D_fake -0.001488
[1283/5000][280/535][132378] Loss_D: -0.021245 Loss_G: -0.009749 Loss_D_real: -0.002858 Loss_D_fake 0.018387
[1283/5000][285/535][132379] Loss_D: -0.021164 Loss_G: 0.007099 Loss_D_real: -0.021324 Loss_D_fake -0.000160
[1283/5000][290/535][132380] Loss_D: -0.019988 Loss_G: 0.019829 Loss_D_real: -0.021036 Loss_D_fake -0.001049
[1283/5000][295/535][132381] Loss_D: -0.019879 Loss_G: 0.005625 Loss_D_real: -0.015985 Loss_D_fake 0.003894
[1283/5000][300/535][132382] Loss_D: -0.020089 Loss_G: 0.003561 Loss_D_real: -0.020124 Loss_D_fake -0.000035
[1283/5000][305/535][132383] Loss_D: -0.020600 Loss_G: -0.005754 Loss_D_real: -0.016692 Loss_D_fake 0.003908
[1283/5000][310/535][132384] Loss_D: -0.019873 Loss_G: 0.018600 Loss_D_real: -0.018861 Loss_D_fake 0.001012
[1283/5000][315/535][132385] Loss_D: -0.020045 Loss_G: 0.002062 Loss_D_real: -0.025085 Loss_D_fake -0.005040
[1283/5000][320/535][132386] Loss_D: -0.019989 Loss_G: -0.001977 Loss_D_real: -0.011042 Loss_D_fake 0.008947
[1283/5000][325/535][132387] Loss_D: -0.020207 Loss_G: 0.011482 Loss_D_real: -0.015070 Loss_D_fake 0.005137
[1283/5000][330/535][132388] Loss_D: -0.019361 Loss_G: -0.000203 Loss_D_real: -0.011849 Loss_D_fake 0.007512
[1283/5000][335/535][132389] Loss_D: -0.019595 Loss_G: -0.012697 Loss_D_real: -0.005802 Loss_D_fake 0.013793
[1283/5000][340/535][132390] Loss_D: -0.020054 Loss_G: -0.017849 Loss_D_real: 0.002947 Loss_D_fake 0.023002
[1283/5000][345/535][132391] Loss_D: -0.020417 Loss_G: 0.020517 Loss_D_real: -0.014325 Loss_D_fake 0.006093
[1283/5000][350/535][132392] Loss_D: -0.019611 Loss_G: 0.004619 Loss_D_real: -0.005584 Loss_D_fake 0.014027
[1283/5000][355/535][132393] Loss_D: -0.019890 Loss_G: 0.022428 Loss_D_real: -0.022758 Loss_D_fake -0.002869
[1283/5000][360/535][132394] Loss_D: -0.020264 Loss_G: 0.003602 Loss_D_real: -0.018679 Loss_D_fake 0.001584
[1283/5000][365/535][132395] Loss_D: -0.019302 Loss_G: 0.009891 Loss_D_real: -0.032875 Loss_D_fake -0.013573
[1283/5000][370/535][132396] Loss_D: -0.019614 Loss_G: -0.003014 Loss_D_real: -0.005127 Loss_D_fake 0.014487
[1283/5000][375/535][132397] Loss_D: -0.018697 Loss_G: 0.016444 Loss_D_real: -0.028699 Loss_D_fake -0.010002
[1283/5000][380/535][132398] Loss_D: -0.021005 Loss_G: 0.011469 Loss_D_real: -0.020570 Loss_D_fake 0.000435
[1283/5000][385/535][132399] Loss_D: -0.020225 Loss_G: 0.009151 Loss_D_real: -0.016612 Loss_D_fake 0.003613
[1283/5000][390/535][132400] Loss_D: -0.020418 Loss_G: 0.028833 Loss_D_real: -0.025166 Loss_D_fake -0.004748
[1283/5000][395/535][132401] Loss_D: -0.021304 Loss_G: 0.003166 Loss_D_real: -0.015091 Loss_D_fake 0.006213
[1283/5000][400/535][132402] Loss_D: -0.018864 Loss_G: 0.008959 Loss_D_real: -0.008038 Loss_D_fake 0.010826
[1283/5000][405/535][132403] Loss_D: -0.018072 Loss_G: 0.006378 Loss_D_real: -0.011883 Loss_D_fake 0.006189
[1283/5000][410/535][132404] Loss_D: -0.018179 Loss_G: 0.017185 Loss_D_real: -0.034495 Loss_D_fake -0.016316
[1283/5000][415/535][132405] Loss_D: -0.020338 Loss_G: 0.013816 Loss_D_real: -0.022096 Loss_D_fake -0.001758
[1283/5000][420/535][132406] Loss_D: -0.020302 Loss_G: 0.013163 Loss_D_real: -0.023089 Loss_D_fake -0.002787
[1283/5000][425/535][132407] Loss_D: -0.019997 Loss_G: -0.007887 Loss_D_real: -0.008594 Loss_D_fake 0.011403
[1283/5000][430/535][132408] Loss_D: -0.020178 Loss_G: 0.026545 Loss_D_real: -0.021609 Loss_D_fake -0.001432
[1283/5000][435/535][132409] Loss_D: -0.020159 Loss_G: 0.011671 Loss_D_real: -0.015251 Loss_D_fake 0.004908
[1283/5000][440/535][132410] Loss_D: -0.020235 Loss_G: 0.009801 Loss_D_real: -0.033548 Loss_D_fake -0.013314
[1283/5000][445/535][132411] Loss_D: -0.020377 Loss_G: 0.015905 Loss_D_real: -0.025443 Loss_D_fake -0.005065
[1283/5000][450/535][132412] Loss_D: -0.017823 Loss_G: -0.007898 Loss_D_real: -0.012107 Loss_D_fake 0.005716
[1283/5000][455/535][132413] Loss_D: -0.018851 Loss_G: -0.013520 Loss_D_real: -0.004258 Loss_D_fake 0.014593
[1283/5000][460/535][132414] Loss_D: -0.019275 Loss_G: 0.013161 Loss_D_real: -0.019286 Loss_D_fake -0.000011
[1283/5000][465/535][132415] Loss_D: -0.018881 Loss_G: -0.009476 Loss_D_real: -0.006845 Loss_D_fake 0.012037
[1283/5000][470/535][132416] Loss_D: -0.020193 Loss_G: 0.006721 Loss_D_real: -0.023405 Loss_D_fake -0.003212
[1283/5000][475/535][132417] Loss_D: -0.018246 Loss_G: 0.014415 Loss_D_real: -0.023983 Loss_D_fake -0.005737
[1283/5000][480/535][132418] Loss_D: -0.018928 Loss_G: 0.021984 Loss_D_real: -0.026517 Loss_D_fake -0.007589
[1283/5000][485/535][132419] Loss_D: -0.021844 Loss_G: 0.006501 Loss_D_real: -0.022541 Loss_D_fake -0.000697
[1283/5000][490/535][132420] Loss_D: -0.019596 Loss_G: 0.011586 Loss_D_real: -0.022509 Loss_D_fake -0.002912
[1283/5000][495/535][132421] Loss_D: -0.020349 Loss_G: 0.006699 Loss_D_real: -0.016589 Loss_D_fake 0.003760
[1283/5000][500/535][132422] Loss_D: -0.019225 Loss_G: -0.009995 Loss_D_real: -0.005731 Loss_D_fake 0.013494
[1283/5000][505/535][132423] Loss_D: -0.019789 Loss_G: 0.016414 Loss_D_real: -0.021115 Loss_D_fake -0.001325
[1283/5000][510/535][132424] Loss_D: -0.019150 Loss_G: 0.015103 Loss_D_real: -0.022037 Loss_D_fake -0.002887
[1283/5000][515/535][132425] Loss_D: -0.019185 Loss_G: -0.014437 Loss_D_real: -0.013128 Loss_D_fake 0.006057
[1283/5000][520/535][132426] Loss_D: -0.019065 Loss_G: 0.020662 Loss_D_real: -0.025759 Loss_D_fake -0.006694
[1283/5000][525/535][132427] Loss_D: -0.019403 Loss_G: 0.024695 Loss_D_real: -0.012013 Loss_D_fake 0.007391
[1283/5000][530/535][132428] Loss_D: -0.018536 Loss_G: 0.028911 Loss_D_real: -0.023449 Loss_D_fake -0.004913
[1283/5000][535/535][132429] Loss_D: -0.019063 Loss_G: 0.035164 Loss_D_real: -0.016236 Loss_D_fake 0.002827
[1284/5000][5/535][132430] Loss_D: -0.020834 Loss_G: 0.008897 Loss_D_real: -0.020067 Loss_D_fake 0.000767
[1284/5000][10/535][132431] Loss_D: -0.020039 Loss_G: 0.012741 Loss_D_real: -0.032567 Loss_D_fake -0.012528
[1284/5000][15/535][132432] Loss_D: -0.020516 Loss_G: 0.004466 Loss_D_real: -0.015097 Loss_D_fake 0.005419
[1284/5000][20/535][132433] Loss_D: -0.019408 Loss_G: -0.011474 Loss_D_real: -0.005725 Loss_D_fake 0.013683
[1284/5000][25/535][132434] Loss_D: -0.019683 Loss_G: -0.003097 Loss_D_real: -0.020156 Loss_D_fake -0.000473
[1284/5000][30/535][132435] Loss_D: -0.021625 Loss_G: 0.003452 Loss_D_real: -0.015497 Loss_D_fake 0.006127
[1284/5000][35/535][132436] Loss_D: -0.020063 Loss_G: -0.000518 Loss_D_real: -0.016077 Loss_D_fake 0.003987
[1284/5000][40/535][132437] Loss_D: -0.019435 Loss_G: 0.027327 Loss_D_real: -0.029813 Loss_D_fake -0.010378
[1284/5000][45/535][132438] Loss_D: -0.019582 Loss_G: 0.006310 Loss_D_real: -0.025036 Loss_D_fake -0.005454
[1284/5000][50/535][132439] Loss_D: -0.019663 Loss_G: 0.011131 Loss_D_real: -0.014646 Loss_D_fake 0.005018
[1284/5000][55/535][132440] Loss_D: -0.019943 Loss_G: 0.004349 Loss_D_real: -0.018278 Loss_D_fake 0.001665
[1284/5000][60/535][132441] Loss_D: -0.018939 Loss_G: 0.029154 Loss_D_real: -0.027264 Loss_D_fake -0.008324
[1284/5000][65/535][132442] Loss_D: -0.018686 Loss_G: 0.014158 Loss_D_real: -0.031829 Loss_D_fake -0.013143
[1284/5000][70/535][132443] Loss_D: -0.020666 Loss_G: 0.001437 Loss_D_real: -0.021502 Loss_D_fake -0.000837
[1284/5000][75/535][132444] Loss_D: -0.019430 Loss_G: 0.012496 Loss_D_real: -0.029167 Loss_D_fake -0.009737
[1284/5000][80/535][132445] Loss_D: -0.019884 Loss_G: 0.005577 Loss_D_real: -0.024571 Loss_D_fake -0.004687
[1284/5000][85/535][132446] Loss_D: -0.019461 Loss_G: -0.009322 Loss_D_real: 0.000399 Loss_D_fake 0.019860
[1284/5000][90/535][132447] Loss_D: -0.020231 Loss_G: 0.025786 Loss_D_real: -0.019205 Loss_D_fake 0.001026
[1284/5000][95/535][132448] Loss_D: -0.019069 Loss_G: 0.001384 Loss_D_real: -0.006188 Loss_D_fake 0.012881
[1284/5000][100/535][132449] Loss_D: -0.019947 Loss_G: 0.017946 Loss_D_real: -0.009876 Loss_D_fake 0.010072
[1284/5000][105/535][132450] Loss_D: -0.017436 Loss_G: -0.019961 Loss_D_real: 0.012090 Loss_D_fake 0.029527
[1284/5000][110/535][132451] Loss_D: -0.019992 Loss_G: 0.004268 Loss_D_real: -0.017956 Loss_D_fake 0.002036
[1284/5000][115/535][132452] Loss_D: -0.019300 Loss_G: 0.013719 Loss_D_real: -0.020203 Loss_D_fake -0.000903
[1284/5000][120/535][132453] Loss_D: -0.018962 Loss_G: 0.003396 Loss_D_real: -0.023248 Loss_D_fake -0.004285
[1284/5000][125/535][132454] Loss_D: -0.021364 Loss_G: 0.010101 Loss_D_real: -0.026174 Loss_D_fake -0.004810
[1284/5000][130/535][132455] Loss_D: -0.019562 Loss_G: -0.018332 Loss_D_real: -0.000457 Loss_D_fake 0.019104
[1284/5000][135/535][132456] Loss_D: -0.019687 Loss_G: 0.009182 Loss_D_real: -0.013619 Loss_D_fake 0.006068
[1284/5000][140/535][132457] Loss_D: -0.020341 Loss_G: 0.016364 Loss_D_real: -0.013531 Loss_D_fake 0.006811
[1284/5000][145/535][132458] Loss_D: -0.019781 Loss_G: 0.011195 Loss_D_real: -0.023759 Loss_D_fake -0.003978
[1284/5000][150/535][132459] Loss_D: -0.020843 Loss_G: -0.006345 Loss_D_real: -0.002574 Loss_D_fake 0.018270
[1284/5000][155/535][132460] Loss_D: -0.019677 Loss_G: 0.012172 Loss_D_real: -0.022233 Loss_D_fake -0.002556
[1284/5000][160/535][132461] Loss_D: -0.020045 Loss_G: 0.016150 Loss_D_real: -0.022030 Loss_D_fake -0.001985
[1284/5000][165/535][132462] Loss_D: -0.020941 Loss_G: 0.012555 Loss_D_real: -0.014900 Loss_D_fake 0.006041
[1284/5000][170/535][132463] Loss_D: -0.021069 Loss_G: -0.001320 Loss_D_real: -0.023797 Loss_D_fake -0.002728
[1284/5000][175/535][132464] Loss_D: -0.018221 Loss_G: 0.033775 Loss_D_real: -0.027400 Loss_D_fake -0.009179
[1284/5000][180/535][132465] Loss_D: -0.019341 Loss_G: 0.008643 Loss_D_real: -0.022300 Loss_D_fake -0.002958
[1284/5000][185/535][132466] Loss_D: -0.021010 Loss_G: 0.005679 Loss_D_real: -0.022969 Loss_D_fake -0.001959
[1284/5000][190/535][132467] Loss_D: -0.019553 Loss_G: -0.016296 Loss_D_real: -0.002827 Loss_D_fake 0.016726
[1284/5000][195/535][132468] Loss_D: -0.020248 Loss_G: 0.023623 Loss_D_real: -0.008680 Loss_D_fake 0.011569
[1284/5000][200/535][132469] Loss_D: -0.020875 Loss_G: 0.002597 Loss_D_real: -0.012873 Loss_D_fake 0.008002
[1284/5000][205/535][132470] Loss_D: -0.018258 Loss_G: 0.016001 Loss_D_real: -0.034729 Loss_D_fake -0.016471
[1284/5000][210/535][132471] Loss_D: -0.019913 Loss_G: 0.007593 Loss_D_real: -0.013815 Loss_D_fake 0.006099
[1284/5000][215/535][132472] Loss_D: -0.019702 Loss_G: 0.001878 Loss_D_real: -0.026904 Loss_D_fake -0.007202
[1284/5000][220/535][132473] Loss_D: -0.020344 Loss_G: 0.020253 Loss_D_real: -0.031064 Loss_D_fake -0.010721
[1284/5000][225/535][132474] Loss_D: -0.019926 Loss_G: 0.000024 Loss_D_real: -0.008693 Loss_D_fake 0.011234
[1284/5000][230/535][132475] Loss_D: -0.019008 Loss_G: 0.000418 Loss_D_real: -0.013172 Loss_D_fake 0.005836
[1284/5000][235/535][132476] Loss_D: -0.018915 Loss_G: -0.000159 Loss_D_real: -0.010548 Loss_D_fake 0.008366
[1284/5000][240/535][132477] Loss_D: -0.021172 Loss_G: 0.020356 Loss_D_real: -0.015214 Loss_D_fake 0.005957
[1284/5000][245/535][132478] Loss_D: -0.019726 Loss_G: 0.001701 Loss_D_real: -0.019792 Loss_D_fake -0.000066
[1284/5000][250/535][132479] Loss_D: -0.019911 Loss_G: 0.007301 Loss_D_real: -0.007574 Loss_D_fake 0.012337
[1284/5000][255/535][132480] Loss_D: -0.020813 Loss_G: 0.012221 Loss_D_real: -0.015019 Loss_D_fake 0.005794
[1284/5000][260/535][132481] Loss_D: -0.019408 Loss_G: 0.028631 Loss_D_real: -0.029206 Loss_D_fake -0.009798
[1284/5000][265/535][132482] Loss_D: -0.019507 Loss_G: 0.000105 Loss_D_real: -0.012252 Loss_D_fake 0.007255
[1284/5000][270/535][132483] Loss_D: -0.020402 Loss_G: -0.016185 Loss_D_real: -0.008939 Loss_D_fake 0.011464
[1284/5000][275/535][132484] Loss_D: -0.019731 Loss_G: 0.009386 Loss_D_real: -0.009375 Loss_D_fake 0.010356
[1284/5000][280/535][132485] Loss_D: -0.019476 Loss_G: -0.015186 Loss_D_real: 0.005616 Loss_D_fake 0.025092
[1284/5000][285/535][132486] Loss_D: -0.019862 Loss_G: -0.003442 Loss_D_real: -0.027455 Loss_D_fake -0.007593
[1284/5000][290/535][132487] Loss_D: -0.019199 Loss_G: 0.004544 Loss_D_real: -0.004016 Loss_D_fake 0.015183
[1284/5000][295/535][132488] Loss_D: -0.018570 Loss_G: 0.021766 Loss_D_real: -0.028565 Loss_D_fake -0.009995
[1284/5000][300/535][132489] Loss_D: -0.019354 Loss_G: 0.011906 Loss_D_real: -0.018279 Loss_D_fake 0.001075
[1284/5000][305/535][132490] Loss_D: -0.019456 Loss_G: 0.020231 Loss_D_real: -0.022246 Loss_D_fake -0.002789
[1284/5000][310/535][132491] Loss_D: -0.019326 Loss_G: 0.019988 Loss_D_real: -0.013286 Loss_D_fake 0.006040
[1284/5000][315/535][132492] Loss_D: -0.019385 Loss_G: 0.009564 Loss_D_real: -0.028306 Loss_D_fake -0.008920
[1284/5000][320/535][132493] Loss_D: -0.019269 Loss_G: 0.000073 Loss_D_real: -0.014567 Loss_D_fake 0.004703
[1284/5000][325/535][132494] Loss_D: -0.021193 Loss_G: 0.017954 Loss_D_real: -0.017264 Loss_D_fake 0.003929
[1284/5000][330/535][132495] Loss_D: -0.018295 Loss_G: 0.023888 Loss_D_real: -0.030823 Loss_D_fake -0.012528
[1284/5000][335/535][132496] Loss_D: -0.020439 Loss_G: 0.015498 Loss_D_real: -0.013443 Loss_D_fake 0.006996
[1284/5000][340/535][132497] Loss_D: -0.017929 Loss_G: -0.014919 Loss_D_real: 0.001179 Loss_D_fake 0.019108
[1284/5000][345/535][132498] Loss_D: -0.020456 Loss_G: 0.007511 Loss_D_real: -0.018358 Loss_D_fake 0.002099
[1284/5000][350/535][132499] Loss_D: -0.019919 Loss_G: -0.001182 Loss_D_real: -0.013114 Loss_D_fake 0.006805
[1284/5000][355/535][132500] Loss_D: -0.019934 Loss_G: 0.028422 Loss_D_real: -0.030825 Loss_D_fake -0.010891
[1284/5000][455/535][132501] Loss_D: -0.022382 Loss_G: 0.007898 Loss_D_real: -0.017548 Loss_D_fake 0.004834
[1284/5000][460/535][132502] Loss_D: -0.020310 Loss_G: 0.021012 Loss_D_real: -0.025603 Loss_D_fake -0.005293
[1284/5000][465/535][132503] Loss_D: -0.019844 Loss_G: 0.012529 Loss_D_real: -0.025025 Loss_D_fake -0.005181
[1284/5000][470/535][132504] Loss_D: -0.017676 Loss_G: -0.006301 Loss_D_real: -0.004678 Loss_D_fake 0.012998
[1284/5000][475/535][132505] Loss_D: -0.018007 Loss_G: 0.006008 Loss_D_real: -0.012716 Loss_D_fake 0.005291
[1284/5000][480/535][132506] Loss_D: -0.018176 Loss_G: 0.007447 Loss_D_real: -0.010769 Loss_D_fake 0.007407
[1284/5000][485/535][132507] Loss_D: -0.018485 Loss_G: 0.028608 Loss_D_real: -0.022979 Loss_D_fake -0.004494
[1284/5000][490/535][132508] Loss_D: -0.018720 Loss_G: -0.003792 Loss_D_real: -0.006628 Loss_D_fake 0.012091
[1284/5000][495/535][132509] Loss_D: -0.019018 Loss_G: 0.004599 Loss_D_real: -0.019920 Loss_D_fake -0.000901
[1284/5000][500/535][132510] Loss_D: -0.018982 Loss_G: -0.003102 Loss_D_real: 0.002571 Loss_D_fake 0.021554
[1284/5000][505/535][132511] Loss_D: -0.019520 Loss_G: 0.014561 Loss_D_real: -0.019751 Loss_D_fake -0.000231
[1284/5000][510/535][132512] Loss_D: -0.019315 Loss_G: 0.021589 Loss_D_real: -0.024180 Loss_D_fake -0.004864
[1284/5000][515/535][132513] Loss_D: -0.020167 Loss_G: 0.001240 Loss_D_real: -0.025488 Loss_D_fake -0.005322
[1284/5000][520/535][132514] Loss_D: -0.019855 Loss_G: 0.004207 Loss_D_real: -0.011292 Loss_D_fake 0.008563
[1284/5000][525/535][132515] Loss_D: -0.020346 Loss_G: 0.001448 Loss_D_real: -0.005582 Loss_D_fake 0.014764
[1284/5000][530/535][132516] Loss_D: -0.019619 Loss_G: 0.012093 Loss_D_real: -0.028558 Loss_D_fake -0.008939
[1284/5000][535/535][132517] Loss_D: -0.018820 Loss_G: -0.005409 Loss_D_real: -0.024640 Loss_D_fake -0.005820
[1285/5000][5/535][132518] Loss_D: -0.020419 Loss_G: -0.004327 Loss_D_real: -0.001284 Loss_D_fake 0.019134
[1285/5000][10/535][132519] Loss_D: -0.019622 Loss_G: 0.007132 Loss_D_real: -0.009562 Loss_D_fake 0.010060
[1285/5000][15/535][132520] Loss_D: -0.017863 Loss_G: 0.012632 Loss_D_real: -0.033708 Loss_D_fake -0.015845
[1285/5000][20/535][132521] Loss_D: -0.019246 Loss_G: -0.000329 Loss_D_real: -0.010149 Loss_D_fake 0.009097
[1285/5000][25/535][132522] Loss_D: -0.019667 Loss_G: 0.002728 Loss_D_real: -0.024084 Loss_D_fake -0.004417
[1285/5000][30/535][132523] Loss_D: -0.019836 Loss_G: 0.007609 Loss_D_real: -0.016237 Loss_D_fake 0.003599
[1285/5000][35/535][132524] Loss_D: -0.020491 Loss_G: 0.007890 Loss_D_real: -0.012447 Loss_D_fake 0.008044
[1285/5000][40/535][132525] Loss_D: -0.020888 Loss_G: 0.006873 Loss_D_real: -0.019294 Loss_D_fake 0.001594
[1285/5000][45/535][132526] Loss_D: -0.020801 Loss_G: 0.013562 Loss_D_real: -0.023127 Loss_D_fake -0.002326
[1285/5000][50/535][132527] Loss_D: -0.019823 Loss_G: 0.003723 Loss_D_real: -0.020132 Loss_D_fake -0.000309
[1285/5000][55/535][132528] Loss_D: -0.021118 Loss_G: 0.004733 Loss_D_real: -0.023604 Loss_D_fake -0.002486
[1285/5000][60/535][132529] Loss_D: -0.018428 Loss_G: 0.014783 Loss_D_real: -0.017253 Loss_D_fake 0.001174
[1285/5000][65/535][132530] Loss_D: -0.020223 Loss_G: 0.001756 Loss_D_real: -0.016970 Loss_D_fake 0.003253
[1285/5000][70/535][132531] Loss_D: -0.019858 Loss_G: -0.003369 Loss_D_real: -0.007435 Loss_D_fake 0.012424
[1285/5000][75/535][132532] Loss_D: -0.019255 Loss_G: 0.029952 Loss_D_real: -0.030174 Loss_D_fake -0.010919
[1285/5000][80/535][132533] Loss_D: -0.019464 Loss_G: 0.011720 Loss_D_real: -0.031918 Loss_D_fake -0.012455
[1285/5000][85/535][132534] Loss_D: -0.020800 Loss_G: -0.007261 Loss_D_real: -0.014237 Loss_D_fake 0.006563
[1285/5000][90/535][132535] Loss_D: -0.019114 Loss_G: 0.021117 Loss_D_real: -0.022874 Loss_D_fake -0.003760
[1285/5000][95/535][132536] Loss_D: -0.019712 Loss_G: 0.004857 Loss_D_real: -0.020228 Loss_D_fake -0.000516
[1285/5000][100/535][132537] Loss_D: -0.021457 Loss_G: 0.009237 Loss_D_real: -0.014346 Loss_D_fake 0.007111
[1285/5000][105/535][132538] Loss_D: -0.020012 Loss_G: 0.009963 Loss_D_real: -0.028040 Loss_D_fake -0.008028
[1285/5000][110/535][132539] Loss_D: -0.020567 Loss_G: -0.001653 Loss_D_real: -0.016106 Loss_D_fake 0.004462
[1285/5000][115/535][132540] Loss_D: -0.020152 Loss_G: -0.011415 Loss_D_real: -0.008607 Loss_D_fake 0.011545
[1285/5000][120/535][132541] Loss_D: -0.019308 Loss_G: 0.006755 Loss_D_real: -0.014546 Loss_D_fake 0.004762
[1285/5000][125/535][132542] Loss_D: -0.020375 Loss_G: 0.013533 Loss_D_real: -0.015452 Loss_D_fake 0.004924
[1285/5000][130/535][132543] Loss_D: -0.020579 Loss_G: 0.004024 Loss_D_real: -0.012324 Loss_D_fake 0.008255
[1285/5000][135/535][132544] Loss_D: -0.019567 Loss_G: -0.003493 Loss_D_real: 0.002150 Loss_D_fake 0.021717
[1285/5000][140/535][132545] Loss_D: -0.019896 Loss_G: -0.002308 Loss_D_real: -0.009633 Loss_D_fake 0.010264
[1285/5000][145/535][132546] Loss_D: -0.019104 Loss_G: 0.026874 Loss_D_real: -0.020563 Loss_D_fake -0.001459
[1285/5000][150/535][132547] Loss_D: -0.018474 Loss_G: 0.019024 Loss_D_real: -0.022819 Loss_D_fake -0.004345
[1285/5000][155/535][132548] Loss_D: -0.019476 Loss_G: -0.003827 Loss_D_real: -0.007070 Loss_D_fake 0.012406
[1285/5000][160/535][132549] Loss_D: -0.019839 Loss_G: 0.014472 Loss_D_real: -0.017027 Loss_D_fake 0.002812
[1285/5000][165/535][132550] Loss_D: -0.019507 Loss_G: 0.010948 Loss_D_real: -0.026174 Loss_D_fake -0.006667
[1285/5000][170/535][132551] Loss_D: -0.019729 Loss_G: 0.020089 Loss_D_real: -0.036746 Loss_D_fake -0.017018
[1285/5000][175/535][132552] Loss_D: -0.019566 Loss_G: -0.001384 Loss_D_real: -0.015042 Loss_D_fake 0.004524
[1285/5000][180/535][132553] Loss_D: -0.019753 Loss_G: 0.014808 Loss_D_real: -0.024532 Loss_D_fake -0.004778
[1285/5000][185/535][132554] Loss_D: -0.020744 Loss_G: -0.001314 Loss_D_real: -0.009782 Loss_D_fake 0.010962
[1285/5000][190/535][132555] Loss_D: -0.019130 Loss_G: 0.016282 Loss_D_real: -0.012743 Loss_D_fake 0.006387
[1285/5000][195/535][132556] Loss_D: -0.020663 Loss_G: 0.004409 Loss_D_real: -0.021735 Loss_D_fake -0.001072
[1285/5000][200/535][132557] Loss_D: -0.021519 Loss_G: 0.011782 Loss_D_real: -0.014088 Loss_D_fake 0.007431
[1285/5000][205/535][132558] Loss_D: -0.020289 Loss_G: -0.002356 Loss_D_real: -0.009309 Loss_D_fake 0.010981
[1285/5000][210/535][132559] Loss_D: -0.019340 Loss_G: 0.010011 Loss_D_real: -0.027248 Loss_D_fake -0.007908
[1285/5000][215/535][132560] Loss_D: -0.021855 Loss_G: 0.001583 Loss_D_real: -0.017651 Loss_D_fake 0.004204
[1285/5000][220/535][132561] Loss_D: -0.019756 Loss_G: 0.002586 Loss_D_real: 0.000161 Loss_D_fake 0.019917
[1285/5000][225/535][132562] Loss_D: -0.020462 Loss_G: 0.008315 Loss_D_real: -0.018771 Loss_D_fake 0.001691
[1285/5000][230/535][132563] Loss_D: -0.019904 Loss_G: 0.004490 Loss_D_real: -0.007626 Loss_D_fake 0.012278
[1285/5000][235/535][132564] Loss_D: -0.019185 Loss_G: 0.023417 Loss_D_real: -0.023259 Loss_D_fake -0.004074
[1285/5000][240/535][132565] Loss_D: -0.019607 Loss_G: 0.001634 Loss_D_real: -0.024699 Loss_D_fake -0.005092
[1285/5000][245/535][132566] Loss_D: -0.020074 Loss_G: -0.005674 Loss_D_real: -0.001677 Loss_D_fake 0.018397
[1285/5000][250/535][132567] Loss_D: -0.019247 Loss_G: 0.016609 Loss_D_real: -0.024002 Loss_D_fake -0.004755
[1285/5000][255/535][132568] Loss_D: -0.020924 Loss_G: 0.020847 Loss_D_real: -0.014610 Loss_D_fake 0.006314
[1285/5000][260/535][132569] Loss_D: -0.019041 Loss_G: -0.012865 Loss_D_real: 0.005533 Loss_D_fake 0.024574
[1285/5000][265/535][132570] Loss_D: -0.019940 Loss_G: -0.006447 Loss_D_real: -0.014719 Loss_D_fake 0.005221
[1285/5000][270/535][132571] Loss_D: -0.020492 Loss_G: 0.013804 Loss_D_real: -0.011198 Loss_D_fake 0.009294
[1285/5000][275/535][132572] Loss_D: -0.020081 Loss_G: 0.006511 Loss_D_real: -0.014864 Loss_D_fake 0.005217
[1285/5000][280/535][132573] Loss_D: -0.019152 Loss_G: 0.001371 Loss_D_real: -0.011178 Loss_D_fake 0.007975
[1285/5000][285/535][132574] Loss_D: -0.019317 Loss_G: 0.012937 Loss_D_real: -0.021107 Loss_D_fake -0.001790
[1285/5000][290/535][132575] Loss_D: -0.019346 Loss_G: 0.000601 Loss_D_real: -0.009260 Loss_D_fake 0.010086
[1285/5000][295/535][132576] Loss_D: -0.020329 Loss_G: 0.011391 Loss_D_real: -0.018127 Loss_D_fake 0.002202
[1285/5000][300/535][132577] Loss_D: -0.019462 Loss_G: 0.031352 Loss_D_real: -0.021889 Loss_D_fake -0.002427
[1285/5000][305/535][132578] Loss_D: -0.019897 Loss_G: 0.007128 Loss_D_real: -0.018151 Loss_D_fake 0.001746
[1285/5000][310/535][132579] Loss_D: -0.019659 Loss_G: -0.014479 Loss_D_real: 0.004240 Loss_D_fake 0.023900
[1285/5000][315/535][132580] Loss_D: -0.018839 Loss_G: 0.030311 Loss_D_real: -0.031642 Loss_D_fake -0.012803
[1285/5000][320/535][132581] Loss_D: -0.020462 Loss_G: 0.008952 Loss_D_real: -0.018447 Loss_D_fake 0.002015
[1285/5000][325/535][132582] Loss_D: -0.018900 Loss_G: 0.027356 Loss_D_real: -0.029994 Loss_D_fake -0.011093
[1285/5000][330/535][132583] Loss_D: -0.020473 Loss_G: 0.006422 Loss_D_real: -0.026159 Loss_D_fake -0.005686
[1285/5000][335/535][132584] Loss_D: -0.019901 Loss_G: 0.006303 Loss_D_real: -0.017690 Loss_D_fake 0.002212
[1285/5000][340/535][132585] Loss_D: -0.018928 Loss_G: 0.016802 Loss_D_real: -0.031830 Loss_D_fake -0.012901
[1285/5000][345/535][132586] Loss_D: -0.019463 Loss_G: 0.010426 Loss_D_real: -0.017295 Loss_D_fake 0.002167
[1285/5000][350/535][132587] Loss_D: -0.020657 Loss_G: 0.004067 Loss_D_real: -0.009079 Loss_D_fake 0.011578
[1285/5000][355/535][132588] Loss_D: -0.018424 Loss_G: 0.006388 Loss_D_real: -0.029787 Loss_D_fake -0.011364
[1285/5000][360/535][132589] Loss_D: -0.020906 Loss_G: 0.012103 Loss_D_real: -0.016661 Loss_D_fake 0.004245
[1285/5000][365/535][132590] Loss_D: -0.020594 Loss_G: -0.000799 Loss_D_real: -0.010171 Loss_D_fake 0.010424
[1285/5000][370/535][132591] Loss_D: -0.020668 Loss_G: -0.000544 Loss_D_real: -0.014722 Loss_D_fake 0.005947
[1285/5000][375/535][132592] Loss_D: -0.020381 Loss_G: 0.022899 Loss_D_real: -0.018033 Loss_D_fake 0.002348
[1285/5000][380/535][132593] Loss_D: -0.019537 Loss_G: 0.003769 Loss_D_real: -0.027764 Loss_D_fake -0.008227
[1285/5000][385/535][132594] Loss_D: -0.021268 Loss_G: 0.007097 Loss_D_real: -0.017804 Loss_D_fake 0.003463
[1285/5000][390/535][132595] Loss_D: -0.020812 Loss_G: -0.010697 Loss_D_real: -0.009985 Loss_D_fake 0.010827
[1285/5000][395/535][132596] Loss_D: -0.020332 Loss_G: 0.008084 Loss_D_real: -0.016257 Loss_D_fake 0.004075
[1285/5000][400/535][132597] Loss_D: -0.018859 Loss_G: 0.023097 Loss_D_real: -0.025204 Loss_D_fake -0.006345
[1285/5000][405/535][132598] Loss_D: -0.020550 Loss_G: -0.011791 Loss_D_real: 0.003362 Loss_D_fake 0.023912
[1285/5000][410/535][132599] Loss_D: -0.018985 Loss_G: 0.009948 Loss_D_real: -0.023971 Loss_D_fake -0.004986
[1285/5000][415/535][132600] Loss_D: -0.019709 Loss_G: 0.019411 Loss_D_real: -0.033012 Loss_D_fake -0.013302
[1285/5000][420/535][132601] Loss_D: -0.018818 Loss_G: -0.018653 Loss_D_real: 0.007809 Loss_D_fake 0.026627
[1285/5000][425/535][132602] Loss_D: -0.018968 Loss_G: 0.006970 Loss_D_real: -0.021775 Loss_D_fake -0.002807
[1285/5000][430/535][132603] Loss_D: -0.017347 Loss_G: -0.012962 Loss_D_real: -0.003978 Loss_D_fake 0.013369
[1285/5000][435/535][132604] Loss_D: -0.019649 Loss_G: 0.020456 Loss_D_real: -0.020042 Loss_D_fake -0.000393
[1285/5000][440/535][132605] Loss_D: -0.019099 Loss_G: -0.000328 Loss_D_real: -0.015430 Loss_D_fake 0.003670
[1285/5000][445/535][132606] Loss_D: -0.018417 Loss_G: -0.009447 Loss_D_real: -0.018185 Loss_D_fake 0.000232
[1285/5000][450/535][132607] Loss_D: -0.018941 Loss_G: 0.014269 Loss_D_real: -0.014591 Loss_D_fake 0.004350
[1285/5000][455/535][132608] Loss_D: -0.018899 Loss_G: 0.019130 Loss_D_real: -0.027434 Loss_D_fake -0.008535
[1285/5000][460/535][132609] Loss_D: -0.020158 Loss_G: -0.008979 Loss_D_real: -0.013089 Loss_D_fake 0.007068
[1285/5000][465/535][132610] Loss_D: -0.020447 Loss_G: 0.023538 Loss_D_real: -0.019650 Loss_D_fake 0.000796
[1285/5000][470/535][132611] Loss_D: -0.018156 Loss_G: 0.023823 Loss_D_real: -0.022094 Loss_D_fake -0.003938
[1285/5000][475/535][132612] Loss_D: -0.019570 Loss_G: 0.020128 Loss_D_real: -0.027747 Loss_D_fake -0.008177
[1285/5000][480/535][132613] Loss_D: -0.020481 Loss_G: 0.011359 Loss_D_real: -0.006580 Loss_D_fake 0.013901
[1285/5000][485/535][132614] Loss_D: -0.021208 Loss_G: -0.002011 Loss_D_real: 0.006304 Loss_D_fake 0.027512
[1285/5000][490/535][132615] Loss_D: -0.019450 Loss_G: 0.019871 Loss_D_real: -0.024269 Loss_D_fake -0.004819
[1285/5000][495/535][132616] Loss_D: -0.019725 Loss_G: -0.023145 Loss_D_real: 0.001245 Loss_D_fake 0.020970
[1285/5000][500/535][132617] Loss_D: -0.019856 Loss_G: -0.004084 Loss_D_real: -0.006679 Loss_D_fake 0.013177
[1285/5000][505/535][132618] Loss_D: -0.019662 Loss_G: 0.005675 Loss_D_real: -0.002744 Loss_D_fake 0.016918
[1285/5000][510/535][132619] Loss_D: -0.019268 Loss_G: -0.000939 Loss_D_real: -0.015204 Loss_D_fake 0.004064
[1285/5000][515/535][132620] Loss_D: -0.019791 Loss_G: 0.026409 Loss_D_real: -0.024467 Loss_D_fake -0.004676
[1285/5000][520/535][132621] Loss_D: -0.020357 Loss_G: -0.018028 Loss_D_real: -0.002722 Loss_D_fake 0.017636
[1285/5000][525/535][132622] Loss_D: -0.020574 Loss_G: -0.003924 Loss_D_real: -0.004568 Loss_D_fake 0.016006
[1285/5000][530/535][132623] Loss_D: -0.020596 Loss_G: 0.008641 Loss_D_real: -0.016935 Loss_D_fake 0.003661
[1285/5000][535/535][132624] Loss_D: -0.018322 Loss_G: -0.029808 Loss_D_real: -0.007108 Loss_D_fake 0.011214
[1286/5000][5/535][132625] Loss_D: -0.020661 Loss_G: 0.003103 Loss_D_real: -0.003330 Loss_D_fake 0.017330
[1286/5000][10/535][132626] Loss_D: -0.020233 Loss_G: 0.006689 Loss_D_real: -0.019962 Loss_D_fake 0.000271
[1286/5000][15/535][132627] Loss_D: -0.020080 Loss_G: 0.016690 Loss_D_real: -0.024452 Loss_D_fake -0.004373
[1286/5000][20/535][132628] Loss_D: -0.021229 Loss_G: 0.017065 Loss_D_real: -0.022855 Loss_D_fake -0.001627
[1286/5000][25/535][132629] Loss_D: -0.018968 Loss_G: 0.007097 Loss_D_real: -0.016216 Loss_D_fake 0.002752
[1286/5000][30/535][132630] Loss_D: -0.020711 Loss_G: 0.004256 Loss_D_real: -0.011056 Loss_D_fake 0.009655
[1286/5000][35/535][132631] Loss_D: -0.020382 Loss_G: 0.019014 Loss_D_real: -0.016712 Loss_D_fake 0.003669
[1286/5000][40/535][132632] Loss_D: -0.020319 Loss_G: -0.006811 Loss_D_real: -0.017125 Loss_D_fake 0.003194
[1286/5000][45/535][132633] Loss_D: -0.019395 Loss_G: 0.022764 Loss_D_real: -0.025797 Loss_D_fake -0.006401
[1286/5000][50/535][132634] Loss_D: -0.019778 Loss_G: 0.018170 Loss_D_real: -0.030716 Loss_D_fake -0.010938
[1286/5000][55/535][132635] Loss_D: -0.020518 Loss_G: 0.007555 Loss_D_real: -0.025759 Loss_D_fake -0.005242
[1286/5000][60/535][132636] Loss_D: -0.020682 Loss_G: 0.012858 Loss_D_real: -0.011105 Loss_D_fake 0.009577
[1286/5000][65/535][132637] Loss_D: -0.019217 Loss_G: 0.019342 Loss_D_real: -0.020231 Loss_D_fake -0.001014
[1286/5000][70/535][132638] Loss_D: -0.019034 Loss_G: 0.002790 Loss_D_real: -0.024176 Loss_D_fake -0.005141
[1286/5000][75/535][132639] Loss_D: -0.021105 Loss_G: -0.015097 Loss_D_real: -0.013240 Loss_D_fake 0.007865
[1286/5000][80/535][132640] Loss_D: -0.019989 Loss_G: -0.000591 Loss_D_real: -0.008959 Loss_D_fake 0.011030
[1286/5000][85/535][132641] Loss_D: -0.020372 Loss_G: -0.006612 Loss_D_real: -0.016227 Loss_D_fake 0.004144
[1286/5000][90/535][132642] Loss_D: -0.021110 Loss_G: 0.010882 Loss_D_real: -0.013251 Loss_D_fake 0.007859
[1286/5000][95/535][132643] Loss_D: -0.018984 Loss_G: -0.009455 Loss_D_real: -0.005917 Loss_D_fake 0.013067
[1286/5000][100/535][132644] Loss_D: -0.021081 Loss_G: 0.014123 Loss_D_real: -0.020305 Loss_D_fake 0.000776
[1286/5000][105/535][132645] Loss_D: -0.020910 Loss_G: 0.017654 Loss_D_real: -0.022719 Loss_D_fake -0.001809
[1286/5000][110/535][132646] Loss_D: -0.020693 Loss_G: -0.003243 Loss_D_real: 0.001413 Loss_D_fake 0.022106
[1286/5000][115/535][132647] Loss_D: -0.021809 Loss_G: 0.038408 Loss_D_real: -0.026932 Loss_D_fake -0.005124
[1286/5000][120/535][132648] Loss_D: -0.020028 Loss_G: 0.009406 Loss_D_real: -0.023128 Loss_D_fake -0.003100
[1286/5000][125/535][132649] Loss_D: -0.019402 Loss_G: 0.000922 Loss_D_real: -0.012658 Loss_D_fake 0.006745
[1286/5000][130/535][132650] Loss_D: -0.019835 Loss_G: -0.012246 Loss_D_real: -0.007749 Loss_D_fake 0.012086
[1286/5000][135/535][132651] Loss_D: -0.019275 Loss_G: 0.010966 Loss_D_real: -0.014729 Loss_D_fake 0.004545
[1286/5000][140/535][132652] Loss_D: -0.019566 Loss_G: 0.019523 Loss_D_real: -0.034397 Loss_D_fake -0.014831
[1286/5000][145/535][132653] Loss_D: -0.020790 Loss_G: 0.004681 Loss_D_real: -0.023730 Loss_D_fake -0.002940
[1286/5000][150/535][132654] Loss_D: -0.020523 Loss_G: 0.015585 Loss_D_real: -0.026490 Loss_D_fake -0.005966
[1286/5000][155/535][132655] Loss_D: -0.020203 Loss_G: 0.004222 Loss_D_real: -0.013794 Loss_D_fake 0.006410
[1286/5000][160/535][132656] Loss_D: -0.018858 Loss_G: 0.015396 Loss_D_real: -0.013258 Loss_D_fake 0.005600
[1286/5000][165/535][132657] Loss_D: -0.018994 Loss_G: 0.023547 Loss_D_real: -0.024740 Loss_D_fake -0.005746
[1286/5000][170/535][132658] Loss_D: -0.020811 Loss_G: -0.004711 Loss_D_real: -0.015037 Loss_D_fake 0.005774
[1286/5000][175/535][132659] Loss_D: -0.020254 Loss_G: 0.012461 Loss_D_real: -0.024226 Loss_D_fake -0.003972
[1286/5000][180/535][132660] Loss_D: -0.019985 Loss_G: 0.023037 Loss_D_real: -0.024585 Loss_D_fake -0.004600
[1286/5000][185/535][132661] Loss_D: -0.020938 Loss_G: 0.003076 Loss_D_real: -0.015707 Loss_D_fake 0.005232
[1286/5000][190/535][132662] Loss_D: -0.020162 Loss_G: 0.006299 Loss_D_real: -0.018473 Loss_D_fake 0.001688
[1286/5000][195/535][132663] Loss_D: -0.020078 Loss_G: 0.023266 Loss_D_real: -0.030749 Loss_D_fake -0.010671
[1286/5000][200/535][132664] Loss_D: -0.020671 Loss_G: 0.018066 Loss_D_real: -0.028898 Loss_D_fake -0.008227
[1286/5000][205/535][132665] Loss_D: -0.019793 Loss_G: -0.004201 Loss_D_real: -0.008834 Loss_D_fake 0.010959
[1286/5000][210/535][132666] Loss_D: -0.021879 Loss_G: -0.000377 Loss_D_real: -0.025436 Loss_D_fake -0.003558
[1286/5000][215/535][132667] Loss_D: -0.019012 Loss_G: 0.027611 Loss_D_real: -0.026614 Loss_D_fake -0.007603
[1286/5000][220/535][132668] Loss_D: -0.019107 Loss_G: -0.000025 Loss_D_real: -0.011997 Loss_D_fake 0.007111
[1286/5000][225/535][132669] Loss_D: -0.018360 Loss_G: -0.013572 Loss_D_real: -0.002153 Loss_D_fake 0.016207
[1286/5000][230/535][132670] Loss_D: -0.019281 Loss_G: 0.017761 Loss_D_real: -0.029431 Loss_D_fake -0.010150
[1286/5000][235/535][132671] Loss_D: -0.020284 Loss_G: 0.000788 Loss_D_real: -0.015210 Loss_D_fake 0.005074
[1286/5000][240/535][132672] Loss_D: -0.019215 Loss_G: 0.015600 Loss_D_real: -0.021784 Loss_D_fake -0.002569
[1286/5000][245/535][132673] Loss_D: -0.020638 Loss_G: -0.001827 Loss_D_real: -0.013236 Loss_D_fake 0.007402
[1286/5000][250/535][132674] Loss_D: -0.019494 Loss_G: 0.004813 Loss_D_real: -0.017169 Loss_D_fake 0.002325
[1286/5000][255/535][132675] Loss_D: -0.021229 Loss_G: 0.006407 Loss_D_real: -0.007314 Loss_D_fake 0.013915
[1286/5000][260/535][132676] Loss_D: -0.019177 Loss_G: 0.019574 Loss_D_real: -0.021323 Loss_D_fake -0.002145
[1286/5000][265/535][132677] Loss_D: -0.020818 Loss_G: 0.016355 Loss_D_real: -0.022812 Loss_D_fake -0.001993
[1286/5000][270/535][132678] Loss_D: -0.020035 Loss_G: 0.003902 Loss_D_real: -0.012831 Loss_D_fake 0.007204
[1286/5000][275/535][132679] Loss_D: -0.020532 Loss_G: 0.002765 Loss_D_real: -0.014928 Loss_D_fake 0.005604
[1286/5000][280/535][132680] Loss_D: -0.021345 Loss_G: 0.000059 Loss_D_real: -0.017401 Loss_D_fake 0.003943
[1286/5000][285/535][132681] Loss_D: -0.021357 Loss_G: 0.024021 Loss_D_real: -0.021967 Loss_D_fake -0.000610
[1286/5000][290/535][132682] Loss_D: -0.019087 Loss_G: -0.009218 Loss_D_real: -0.015414 Loss_D_fake 0.003674
[1286/5000][295/535][132683] Loss_D: -0.020054 Loss_G: 0.021660 Loss_D_real: -0.022969 Loss_D_fake -0.002915
[1286/5000][300/535][132684] Loss_D: -0.019357 Loss_G: -0.001059 Loss_D_real: -0.005420 Loss_D_fake 0.013937
[1286/5000][305/535][132685] Loss_D: -0.020141 Loss_G: 0.016178 Loss_D_real: -0.019641 Loss_D_fake 0.000499
[1286/5000][310/535][132686] Loss_D: -0.019792 Loss_G: -0.000924 Loss_D_real: -0.016328 Loss_D_fake 0.003464
[1286/5000][315/535][132687] Loss_D: -0.019965 Loss_G: -0.007300 Loss_D_real: -0.016824 Loss_D_fake 0.003141
[1286/5000][320/535][132688] Loss_D: -0.019325 Loss_G: -0.015075 Loss_D_real: -0.006488 Loss_D_fake 0.012837
[1286/5000][325/535][132689] Loss_D: -0.021008 Loss_G: 0.009136 Loss_D_real: -0.015268 Loss_D_fake 0.005740
[1286/5000][330/535][132690] Loss_D: -0.020416 Loss_G: -0.001804 Loss_D_real: -0.011064 Loss_D_fake 0.009352
[1286/5000][335/535][132691] Loss_D: -0.020326 Loss_G: 0.001401 Loss_D_real: 0.003029 Loss_D_fake 0.023355
[1286/5000][340/535][132692] Loss_D: -0.021086 Loss_G: 0.005158 Loss_D_real: -0.010796 Loss_D_fake 0.010291
[1286/5000][345/535][132693] Loss_D: -0.018363 Loss_G: 0.032157 Loss_D_real: -0.029503 Loss_D_fake -0.011140
[1286/5000][350/535][132694] Loss_D: -0.018155 Loss_G: 0.030787 Loss_D_real: -0.034705 Loss_D_fake -0.016550
[1286/5000][355/535][132695] Loss_D: -0.019770 Loss_G: 0.000623 Loss_D_real: -0.012708 Loss_D_fake 0.007062
[1286/5000][360/535][132696] Loss_D: -0.020836 Loss_G: -0.011487 Loss_D_real: -0.009214 Loss_D_fake 0.011622
[1286/5000][365/535][132697] Loss_D: -0.020118 Loss_G: -0.007705 Loss_D_real: -0.001985 Loss_D_fake 0.018133
[1286/5000][370/535][132698] Loss_D: -0.020596 Loss_G: 0.013939 Loss_D_real: -0.019293 Loss_D_fake 0.001303
[1286/5000][375/535][132699] Loss_D: -0.019749 Loss_G: 0.010603 Loss_D_real: -0.007831 Loss_D_fake 0.011918
[1286/5000][380/535][132700] Loss_D: -0.019243 Loss_G: -0.003071 Loss_D_real: -0.018459 Loss_D_fake 0.000784
[1286/5000][385/535][132701] Loss_D: -0.020134 Loss_G: -0.000310 Loss_D_real: -0.016192 Loss_D_fake 0.003942
[1286/5000][390/535][132702] Loss_D: -0.020437 Loss_G: 0.000523 Loss_D_real: -0.022165 Loss_D_fake -0.001728
[1286/5000][395/535][132703] Loss_D: -0.018452 Loss_G: 0.011204 Loss_D_real: -0.031932 Loss_D_fake -0.013480
[1286/5000][400/535][132704] Loss_D: -0.019867 Loss_G: 0.009800 Loss_D_real: -0.021497 Loss_D_fake -0.001630
[1286/5000][405/535][132705] Loss_D: -0.016917 Loss_G: 0.032321 Loss_D_real: -0.033110 Loss_D_fake -0.016193
[1286/5000][410/535][132706] Loss_D: -0.020016 Loss_G: 0.014810 Loss_D_real: -0.020800 Loss_D_fake -0.000784
[1286/5000][415/535][132707] Loss_D: -0.021378 Loss_G: -0.007041 Loss_D_real: -0.011417 Loss_D_fake 0.009962
[1286/5000][420/535][132708] Loss_D: -0.019161 Loss_G: -0.008885 Loss_D_real: 0.002033 Loss_D_fake 0.021194
[1286/5000][425/535][132709] Loss_D: -0.018681 Loss_G: 0.001472 Loss_D_real: -0.000662 Loss_D_fake 0.018019
[1286/5000][430/535][132710] Loss_D: -0.018802 Loss_G: -0.001177 Loss_D_real: -0.000917 Loss_D_fake 0.017885
[1286/5000][435/535][132711] Loss_D: -0.019471 Loss_G: 0.010754 Loss_D_real: -0.024502 Loss_D_fake -0.005031
[1286/5000][440/535][132712] Loss_D: -0.019463 Loss_G: -0.000606 Loss_D_real: -0.006326 Loss_D_fake 0.013137
[1286/5000][445/535][132713] Loss_D: -0.019562 Loss_G: 0.000197 Loss_D_real: -0.016304 Loss_D_fake 0.003258
[1286/5000][450/535][132714] Loss_D: -0.019240 Loss_G: -0.007650 Loss_D_real: -0.030567 Loss_D_fake -0.011327
[1286/5000][455/535][132715] Loss_D: -0.020598 Loss_G: 0.002649 Loss_D_real: -0.001829 Loss_D_fake 0.018769
[1286/5000][460/535][132716] Loss_D: -0.019715 Loss_G: -0.004069 Loss_D_real: -0.013076 Loss_D_fake 0.006639
[1286/5000][465/535][132717] Loss_D: -0.019878 Loss_G: -0.002163 Loss_D_real: -0.024005 Loss_D_fake -0.004127
[1286/5000][470/535][132718] Loss_D: -0.019583 Loss_G: 0.030645 Loss_D_real: -0.035822 Loss_D_fake -0.016239
[1286/5000][475/535][132719] Loss_D: -0.020231 Loss_G: 0.020288 Loss_D_real: -0.029774 Loss_D_fake -0.009543
[1286/5000][480/535][132720] Loss_D: -0.019433 Loss_G: -0.011285 Loss_D_real: -0.005723 Loss_D_fake 0.013710
[1286/5000][485/535][132721] Loss_D: -0.018166 Loss_G: 0.024792 Loss_D_real: -0.029166 Loss_D_fake -0.011000
[1286/5000][490/535][132722] Loss_D: -0.019907 Loss_G: 0.008347 Loss_D_real: -0.014083 Loss_D_fake 0.005824
[1286/5000][495/535][132723] Loss_D: -0.019129 Loss_G: 0.007131 Loss_D_real: -0.011403 Loss_D_fake 0.007726
[1286/5000][500/535][132724] Loss_D: -0.019258 Loss_G: 0.009215 Loss_D_real: -0.023995 Loss_D_fake -0.004736
[1286/5000][505/535][132725] Loss_D: -0.018520 Loss_G: 0.020248 Loss_D_real: -0.020958 Loss_D_fake -0.002437
[1286/5000][510/535][132726] Loss_D: -0.019598 Loss_G: -0.012128 Loss_D_real: -0.003077 Loss_D_fake 0.016521
[1286/5000][515/535][132727] Loss_D: -0.020369 Loss_G: 0.003009 Loss_D_real: -0.022909 Loss_D_fake -0.002540
[1286/5000][520/535][132728] Loss_D: -0.019738 Loss_G: -0.001843 Loss_D_real: -0.005231 Loss_D_fake 0.014507
[1286/5000][525/535][132729] Loss_D: -0.019580 Loss_G: 0.009228 Loss_D_real: -0.020091 Loss_D_fake -0.000510
[1286/5000][530/535][132730] Loss_D: -0.020468 Loss_G: -0.001716 Loss_D_real: -0.016317 Loss_D_fake 0.004151
[1286/5000][535/535][132731] Loss_D: -0.019083 Loss_G: -0.007144 Loss_D_real: -0.009897 Loss_D_fake 0.009186
[1287/5000][5/535][132732] Loss_D: -0.019076 Loss_G: 0.021608 Loss_D_real: -0.026347 Loss_D_fake -0.007272
[1287/5000][10/535][132733] Loss_D: -0.021242 Loss_G: 0.021201 Loss_D_real: -0.010575 Loss_D_fake 0.010667
[1287/5000][15/535][132734] Loss_D: -0.019714 Loss_G: -0.006304 Loss_D_real: -0.009696 Loss_D_fake 0.010018
[1287/5000][20/535][132735] Loss_D: -0.021152 Loss_G: -0.004762 Loss_D_real: -0.010159 Loss_D_fake 0.010993
[1287/5000][25/535][132736] Loss_D: -0.018919 Loss_G: 0.002142 Loss_D_real: -0.011058 Loss_D_fake 0.007861
[1287/5000][30/535][132737] Loss_D: -0.019457 Loss_G: 0.026526 Loss_D_real: -0.024314 Loss_D_fake -0.004857
[1287/5000][35/535][132738] Loss_D: -0.020349 Loss_G: -0.001391 Loss_D_real: -0.001693 Loss_D_fake 0.018656
[1287/5000][40/535][132739] Loss_D: -0.020511 Loss_G: 0.017801 Loss_D_real: -0.014897 Loss_D_fake 0.005614
[1287/5000][45/535][132740] Loss_D: -0.021375 Loss_G: -0.008632 Loss_D_real: -0.017899 Loss_D_fake 0.003477
[1287/5000][50/535][132741] Loss_D: -0.019667 Loss_G: 0.023244 Loss_D_real: -0.028630 Loss_D_fake -0.008964
[1287/5000][55/535][132742] Loss_D: -0.018674 Loss_G: 0.007692 Loss_D_real: -0.019442 Loss_D_fake -0.000769
[1287/5000][60/535][132743] Loss_D: -0.019755 Loss_G: 0.007243 Loss_D_real: -0.020373 Loss_D_fake -0.000617
[1287/5000][65/535][132744] Loss_D: -0.018821 Loss_G: -0.000642 Loss_D_real: -0.020720 Loss_D_fake -0.001899
[1287/5000][70/535][132745] Loss_D: -0.020750 Loss_G: 0.009636 Loss_D_real: -0.020228 Loss_D_fake 0.000522
[1287/5000][75/535][132746] Loss_D: -0.021105 Loss_G: 0.006167 Loss_D_real: -0.024576 Loss_D_fake -0.003471
[1287/5000][80/535][132747] Loss_D: -0.019536 Loss_G: -0.002920 Loss_D_real: -0.006258 Loss_D_fake 0.013278
[1287/5000][85/535][132748] Loss_D: -0.020690 Loss_G: 0.005058 Loss_D_real: -0.019909 Loss_D_fake 0.000782
[1287/5000][90/535][132749] Loss_D: -0.019955 Loss_G: -0.001679 Loss_D_real: 0.000880 Loss_D_fake 0.020835
[1287/5000][95/535][132750] Loss_D: -0.019782 Loss_G: -0.000181 Loss_D_real: -0.010903 Loss_D_fake 0.008879
[1287/5000][100/535][132751] Loss_D: -0.020260 Loss_G: 0.007738 Loss_D_real: -0.027903 Loss_D_fake -0.007643
[1287/5000][105/535][132752] Loss_D: -0.020268 Loss_G: 0.012371 Loss_D_real: -0.016608 Loss_D_fake 0.003661
[1287/5000][110/535][132753] Loss_D: -0.020733 Loss_G: 0.006262 Loss_D_real: -0.003913 Loss_D_fake 0.016820
[1287/5000][115/535][132754] Loss_D: -0.019177 Loss_G: -0.014385 Loss_D_real: 0.001868 Loss_D_fake 0.021045
[1287/5000][120/535][132755] Loss_D: -0.019954 Loss_G: 0.015392 Loss_D_real: -0.011218 Loss_D_fake 0.008736
[1287/5000][125/535][132756] Loss_D: -0.020371 Loss_G: 0.010407 Loss_D_real: -0.007117 Loss_D_fake 0.013254
[1287/5000][130/535][132757] Loss_D: -0.019901 Loss_G: 0.007719 Loss_D_real: -0.020786 Loss_D_fake -0.000885
[1287/5000][135/535][132758] Loss_D: -0.020598 Loss_G: 0.011372 Loss_D_real: -0.021697 Loss_D_fake -0.001099
[1287/5000][140/535][132759] Loss_D: -0.020045 Loss_G: -0.010916 Loss_D_real: -0.001495 Loss_D_fake 0.018550
[1287/5000][145/535][132760] Loss_D: -0.019876 Loss_G: 0.005224 Loss_D_real: -0.014654 Loss_D_fake 0.005222
[1287/5000][150/535][132761] Loss_D: -0.021022 Loss_G: -0.003569 Loss_D_real: -0.000893 Loss_D_fake 0.020129
[1287/5000][155/535][132762] Loss_D: -0.019849 Loss_G: 0.010918 Loss_D_real: -0.008679 Loss_D_fake 0.011170
[1287/5000][160/535][132763] Loss_D: -0.019841 Loss_G: 0.015802 Loss_D_real: -0.015731 Loss_D_fake 0.004110
[1287/5000][165/535][132764] Loss_D: -0.019941 Loss_G: -0.007931 Loss_D_real: -0.008623 Loss_D_fake 0.011318
[1287/5000][170/535][132765] Loss_D: -0.020186 Loss_G: 0.022694 Loss_D_real: -0.014944 Loss_D_fake 0.005242
[1287/5000][175/535][132766] Loss_D: -0.019509 Loss_G: -0.001499 Loss_D_real: -0.007173 Loss_D_fake 0.012336
[1287/5000][180/535][132767] Loss_D: -0.019397 Loss_G: 0.026215 Loss_D_real: -0.021171 Loss_D_fake -0.001774
[1287/5000][185/535][132768] Loss_D: -0.019036 Loss_G: -0.002629 Loss_D_real: -0.014518 Loss_D_fake 0.004518
[1287/5000][190/535][132769] Loss_D: -0.020440 Loss_G: 0.006248 Loss_D_real: -0.004806 Loss_D_fake 0.015634
[1287/5000][195/535][132770] Loss_D: -0.019130 Loss_G: 0.018791 Loss_D_real: -0.036525 Loss_D_fake -0.017395
[1287/5000][200/535][132771] Loss_D: -0.019029 Loss_G: -0.000213 Loss_D_real: -0.012657 Loss_D_fake 0.006371
[1287/5000][205/535][132772] Loss_D: -0.019685 Loss_G: 0.016788 Loss_D_real: -0.021797 Loss_D_fake -0.002112
[1287/5000][210/535][132773] Loss_D: -0.018589 Loss_G: 0.000880 Loss_D_real: -0.016307 Loss_D_fake 0.002282
[1287/5000][215/535][132774] Loss_D: -0.020042 Loss_G: -0.005646 Loss_D_real: -0.004125 Loss_D_fake 0.015917
[1287/5000][220/535][132775] Loss_D: -0.020757 Loss_G: 0.028440 Loss_D_real: -0.017664 Loss_D_fake 0.003093
[1287/5000][225/535][132776] Loss_D: -0.021069 Loss_G: 0.002678 Loss_D_real: -0.020787 Loss_D_fake 0.000282
[1287/5000][230/535][132777] Loss_D: -0.020265 Loss_G: -0.000007 Loss_D_real: -0.008120 Loss_D_fake 0.012145
[1287/5000][235/535][132778] Loss_D: -0.020602 Loss_G: 0.019918 Loss_D_real: -0.028215 Loss_D_fake -0.007613
[1287/5000][240/535][132779] Loss_D: -0.019744 Loss_G: 0.010104 Loss_D_real: -0.022272 Loss_D_fake -0.002528
[1287/5000][245/535][132780] Loss_D: -0.020833 Loss_G: 0.003832 Loss_D_real: -0.011984 Loss_D_fake 0.008849
[1287/5000][250/535][132781] Loss_D: -0.019058 Loss_G: 0.010288 Loss_D_real: -0.040364 Loss_D_fake -0.021306
[1287/5000][255/535][132782] Loss_D: -0.019777 Loss_G: 0.020863 Loss_D_real: -0.013235 Loss_D_fake 0.006541
[1287/5000][260/535][132783] Loss_D: -0.019709 Loss_G: 0.003546 Loss_D_real: -0.011195 Loss_D_fake 0.008514
[1287/5000][265/535][132784] Loss_D: -0.019936 Loss_G: 0.007078 Loss_D_real: -0.030871 Loss_D_fake -0.010935
[1287/5000][270/535][132785] Loss_D: -0.018564 Loss_G: -0.018349 Loss_D_real: 0.010816 Loss_D_fake 0.029380
[1287/5000][275/535][132786] Loss_D: -0.021202 Loss_G: 0.002957 Loss_D_real: -0.019385 Loss_D_fake 0.001816
[1287/5000][280/535][132787] Loss_D: -0.020779 Loss_G: 0.003855 Loss_D_real: -0.023950 Loss_D_fake -0.003170
[1287/5000][285/535][132788] Loss_D: -0.020021 Loss_G: 0.000973 Loss_D_real: -0.015946 Loss_D_fake 0.004075
[1287/5000][290/535][132789] Loss_D: -0.019675 Loss_G: 0.010247 Loss_D_real: -0.008471 Loss_D_fake 0.011204
[1287/5000][295/535][132790] Loss_D: -0.019739 Loss_G: 0.001030 Loss_D_real: -0.008159 Loss_D_fake 0.011581
[1287/5000][300/535][132791] Loss_D: -0.018296 Loss_G: 0.020494 Loss_D_real: -0.033363 Loss_D_fake -0.015067
[1287/5000][305/535][132792] Loss_D: -0.018916 Loss_G: -0.000547 Loss_D_real: -0.000809 Loss_D_fake 0.018106
[1287/5000][310/535][132793] Loss_D: -0.019228 Loss_G: 0.007171 Loss_D_real: -0.006334 Loss_D_fake 0.012894
[1287/5000][315/535][132794] Loss_D: -0.020429 Loss_G: 0.004903 Loss_D_real: -0.016044 Loss_D_fake 0.004386
[1287/5000][320/535][132795] Loss_D: -0.021673 Loss_G: -0.000025 Loss_D_real: -0.010286 Loss_D_fake 0.011387
[1287/5000][325/535][132796] Loss_D: -0.020751 Loss_G: -0.005903 Loss_D_real: -0.006239 Loss_D_fake 0.014512
[1287/5000][330/535][132797] Loss_D: -0.019772 Loss_G: -0.001580 Loss_D_real: -0.008787 Loss_D_fake 0.010985
[1287/5000][335/535][132798] Loss_D: -0.021054 Loss_G: 0.024180 Loss_D_real: -0.009305 Loss_D_fake 0.011749
[1287/5000][340/535][132799] Loss_D: -0.019837 Loss_G: 0.010488 Loss_D_real: -0.019642 Loss_D_fake 0.000195
[1287/5000][345/535][132800] Loss_D: -0.018409 Loss_G: 0.019894 Loss_D_real: -0.029137 Loss_D_fake -0.010728
[1287/5000][350/535][132801] Loss_D: -0.020336 Loss_G: 0.017566 Loss_D_real: -0.022288 Loss_D_fake -0.001952
[1287/5000][355/535][132802] Loss_D: -0.020167 Loss_G: 0.004337 Loss_D_real: -0.011692 Loss_D_fake 0.008475
[1287/5000][360/535][132803] Loss_D: -0.018165 Loss_G: 0.021040 Loss_D_real: -0.014361 Loss_D_fake 0.003803
[1287/5000][365/535][132804] Loss_D: -0.019106 Loss_G: -0.017952 Loss_D_real: -0.010029 Loss_D_fake 0.009077
[1287/5000][370/535][132805] Loss_D: -0.019932 Loss_G: 0.009947 Loss_D_real: -0.013957 Loss_D_fake 0.005975
[1287/5000][375/535][132806] Loss_D: -0.020173 Loss_G: -0.002686 Loss_D_real: -0.003939 Loss_D_fake 0.016234
[1287/5000][380/535][132807] Loss_D: -0.019406 Loss_G: 0.028114 Loss_D_real: -0.024671 Loss_D_fake -0.005265
[1287/5000][385/535][132808] Loss_D: -0.020520 Loss_G: -0.000501 Loss_D_real: -0.014732 Loss_D_fake 0.005787
[1287/5000][390/535][132809] Loss_D: -0.018449 Loss_G: -0.016204 Loss_D_real: 0.000939 Loss_D_fake 0.019388
[1287/5000][395/535][132810] Loss_D: -0.019098 Loss_G: -0.005433 Loss_D_real: -0.008031 Loss_D_fake 0.011067
[1287/5000][400/535][132811] Loss_D: -0.019728 Loss_G: 0.015206 Loss_D_real: -0.017316 Loss_D_fake 0.002412
[1287/5000][405/535][132812] Loss_D: -0.018337 Loss_G: 0.020366 Loss_D_real: -0.030836 Loss_D_fake -0.012499
[1287/5000][410/535][132813] Loss_D: -0.019442 Loss_G: 0.025738 Loss_D_real: -0.027272 Loss_D_fake -0.007830
[1287/5000][415/535][132814] Loss_D: -0.019597 Loss_G: -0.011270 Loss_D_real: -0.015687 Loss_D_fake 0.003911
[1287/5000][420/535][132815] Loss_D: -0.019334 Loss_G: 0.013341 Loss_D_real: -0.027918 Loss_D_fake -0.008583
[1287/5000][425/535][132816] Loss_D: -0.019949 Loss_G: 0.009126 Loss_D_real: -0.022363 Loss_D_fake -0.002414
[1287/5000][430/535][132817] Loss_D: -0.019887 Loss_G: 0.028875 Loss_D_real: -0.029119 Loss_D_fake -0.009232
[1287/5000][435/535][132818] Loss_D: -0.020265 Loss_G: 0.014090 Loss_D_real: -0.027990 Loss_D_fake -0.007724
[1287/5000][440/535][132819] Loss_D: -0.020392 Loss_G: -0.009327 Loss_D_real: -0.007150 Loss_D_fake 0.013242
[1287/5000][445/535][132820] Loss_D: -0.020429 Loss_G: -0.008697 Loss_D_real: -0.006303 Loss_D_fake 0.014127
[1287/5000][450/535][132821] Loss_D: -0.020961 Loss_G: 0.012444 Loss_D_real: -0.009719 Loss_D_fake 0.011242
[1287/5000][455/535][132822] Loss_D: -0.019798 Loss_G: 0.001386 Loss_D_real: -0.006727 Loss_D_fake 0.013071
[1287/5000][460/535][132823] Loss_D: -0.020017 Loss_G: -0.004045 Loss_D_real: -0.017164 Loss_D_fake 0.002853
[1287/5000][465/535][132824] Loss_D: -0.020067 Loss_G: 0.016036 Loss_D_real: -0.023054 Loss_D_fake -0.002987
[1287/5000][470/535][132825] Loss_D: -0.020077 Loss_G: -0.015086 Loss_D_real: -0.011919 Loss_D_fake 0.008158
[1287/5000][475/535][132826] Loss_D: -0.019195 Loss_G: 0.020666 Loss_D_real: -0.011249 Loss_D_fake 0.007945
[1287/5000][480/535][132827] Loss_D: -0.020605 Loss_G: -0.008060 Loss_D_real: -0.003902 Loss_D_fake 0.016703
[1287/5000][485/535][132828] Loss_D: -0.019829 Loss_G: 0.003497 Loss_D_real: -0.010481 Loss_D_fake 0.009348
[1287/5000][490/535][132829] Loss_D: -0.019202 Loss_G: 0.018807 Loss_D_real: -0.028331 Loss_D_fake -0.009129
[1287/5000][495/535][132830] Loss_D: -0.019556 Loss_G: 0.031654 Loss_D_real: -0.019048 Loss_D_fake 0.000508
[1287/5000][500/535][132831] Loss_D: -0.018899 Loss_G: 0.005392 Loss_D_real: -0.018605 Loss_D_fake 0.000294
[1287/5000][505/535][132832] Loss_D: -0.019626 Loss_G: 0.006618 Loss_D_real: -0.030010 Loss_D_fake -0.010384
[1287/5000][510/535][132833] Loss_D: -0.019552 Loss_G: -0.000975 Loss_D_real: -0.021067 Loss_D_fake -0.001515
[1287/5000][515/535][132834] Loss_D: -0.020304 Loss_G: 0.000440 Loss_D_real: -0.005432 Loss_D_fake 0.014872
[1287/5000][520/535][132835] Loss_D: -0.018967 Loss_G: 0.007945 Loss_D_real: -0.009515 Loss_D_fake 0.009452
[1287/5000][525/535][132836] Loss_D: -0.019668 Loss_G: 0.000129 Loss_D_real: -0.012360 Loss_D_fake 0.007307
[1287/5000][530/535][132837] Loss_D: -0.017733 Loss_G: 0.017031 Loss_D_real: -0.014702 Loss_D_fake 0.003031
[1287/5000][535/535][132838] Loss_D: -0.020882 Loss_G: 0.030030 Loss_D_real: -0.000251 Loss_D_fake 0.020631
[1288/5000][5/535][132839] Loss_D: -0.019464 Loss_G: 0.017422 Loss_D_real: -0.022317 Loss_D_fake -0.002853
[1288/5000][10/535][132840] Loss_D: -0.019539 Loss_G: 0.013268 Loss_D_real: -0.019835 Loss_D_fake -0.000296
[1288/5000][15/535][132841] Loss_D: -0.019659 Loss_G: -0.010586 Loss_D_real: -0.004651 Loss_D_fake 0.015008
[1288/5000][20/535][132842] Loss_D: -0.018208 Loss_G: -0.005620 Loss_D_real: -0.010451 Loss_D_fake 0.007758
[1288/5000][25/535][132843] Loss_D: -0.019668 Loss_G: -0.001010 Loss_D_real: -0.024978 Loss_D_fake -0.005310
[1288/5000][30/535][132844] Loss_D: -0.019853 Loss_G: -0.008678 Loss_D_real: -0.006891 Loss_D_fake 0.012962
[1288/5000][35/535][132845] Loss_D: -0.019945 Loss_G: 0.012776 Loss_D_real: -0.025049 Loss_D_fake -0.005104
[1288/5000][40/535][132846] Loss_D: -0.019480 Loss_G: 0.021095 Loss_D_real: -0.023419 Loss_D_fake -0.003938
[1288/5000][45/535][132847] Loss_D: -0.020144 Loss_G: 0.011469 Loss_D_real: -0.012976 Loss_D_fake 0.007168
[1288/5000][50/535][132848] Loss_D: -0.019653 Loss_G: 0.011829 Loss_D_real: -0.027925 Loss_D_fake -0.008271
[1288/5000][55/535][132849] Loss_D: -0.020914 Loss_G: -0.006789 Loss_D_real: -0.005417 Loss_D_fake 0.015497
[1288/5000][60/535][132850] Loss_D: -0.020452 Loss_G: 0.013569 Loss_D_real: -0.017278 Loss_D_fake 0.003174
[1288/5000][65/535][132851] Loss_D: -0.020557 Loss_G: -0.008365 Loss_D_real: 0.003767 Loss_D_fake 0.024324
[1288/5000][70/535][132852] Loss_D: -0.020501 Loss_G: -0.000339 Loss_D_real: -0.014622 Loss_D_fake 0.005878
[1288/5000][75/535][132853] Loss_D: -0.019438 Loss_G: 0.013710 Loss_D_real: -0.033943 Loss_D_fake -0.014504
[1288/5000][80/535][132854] Loss_D: -0.019644 Loss_G: -0.012205 Loss_D_real: -0.011422 Loss_D_fake 0.008221
[1288/5000][85/535][132855] Loss_D: -0.020266 Loss_G: -0.003479 Loss_D_real: -0.003441 Loss_D_fake 0.016825
[1288/5000][90/535][132856] Loss_D: -0.018672 Loss_G: -0.013079 Loss_D_real: 0.000942 Loss_D_fake 0.019614
[1288/5000][95/535][132857] Loss_D: -0.020885 Loss_G: 0.004957 Loss_D_real: -0.021622 Loss_D_fake -0.000736
[1288/5000][100/535][132858] Loss_D: -0.020129 Loss_G: -0.003174 Loss_D_real: -0.013846 Loss_D_fake 0.006283
[1288/5000][105/535][132859] Loss_D: -0.020299 Loss_G: 0.016692 Loss_D_real: -0.018960 Loss_D_fake 0.001339
[1288/5000][110/535][132860] Loss_D: -0.019302 Loss_G: 0.009232 Loss_D_real: -0.016561 Loss_D_fake 0.002741
[1288/5000][115/535][132861] Loss_D: -0.019156 Loss_G: -0.000154 Loss_D_real: -0.012482 Loss_D_fake 0.006675
[1288/5000][120/535][132862] Loss_D: -0.021626 Loss_G: 0.013857 Loss_D_real: -0.026173 Loss_D_fake -0.004547
[1288/5000][125/535][132863] Loss_D: -0.020061 Loss_G: 0.011618 Loss_D_real: -0.014846 Loss_D_fake 0.005214
[1288/5000][130/535][132864] Loss_D: -0.019323 Loss_G: 0.001522 Loss_D_real: 0.000834 Loss_D_fake 0.020157
[1288/5000][135/535][132865] Loss_D: -0.019778 Loss_G: 0.014130 Loss_D_real: -0.019854 Loss_D_fake -0.000076
[1288/5000][140/535][132866] Loss_D: -0.020098 Loss_G: -0.007317 Loss_D_real: -0.022687 Loss_D_fake -0.002589
[1288/5000][145/535][132867] Loss_D: -0.019364 Loss_G: -0.002349 Loss_D_real: -0.017252 Loss_D_fake 0.002112
[1288/5000][150/535][132868] Loss_D: -0.019854 Loss_G: 0.016697 Loss_D_real: -0.015939 Loss_D_fake 0.003915
[1288/5000][155/535][132869] Loss_D: -0.021011 Loss_G: 0.008462 Loss_D_real: -0.017604 Loss_D_fake 0.003407
[1288/5000][160/535][132870] Loss_D: -0.020038 Loss_G: -0.002005 Loss_D_real: 0.000387 Loss_D_fake 0.020425
[1288/5000][165/535][132871] Loss_D: -0.019507 Loss_G: 0.016350 Loss_D_real: -0.018095 Loss_D_fake 0.001413
[1288/5000][170/535][132872] Loss_D: -0.020185 Loss_G: 0.004503 Loss_D_real: -0.011830 Loss_D_fake 0.008355
[1288/5000][175/535][132873] Loss_D: -0.020154 Loss_G: -0.004034 Loss_D_real: -0.018295 Loss_D_fake 0.001859
[1288/5000][180/535][132874] Loss_D: -0.019725 Loss_G: 0.019548 Loss_D_real: -0.021515 Loss_D_fake -0.001789
[1288/5000][185/535][132875] Loss_D: -0.018023 Loss_G: 0.016977 Loss_D_real: -0.027804 Loss_D_fake -0.009781
[1288/5000][190/535][132876] Loss_D: -0.018908 Loss_G: 0.006263 Loss_D_real: -0.005117 Loss_D_fake 0.013792
[1288/5000][195/535][132877] Loss_D: -0.020523 Loss_G: 0.007167 Loss_D_real: -0.013647 Loss_D_fake 0.006876
[1288/5000][200/535][132878] Loss_D: -0.020960 Loss_G: -0.005068 Loss_D_real: -0.025658 Loss_D_fake -0.004698
[1288/5000][205/535][132879] Loss_D: -0.020743 Loss_G: 0.017554 Loss_D_real: -0.017474 Loss_D_fake 0.003269
[1288/5000][210/535][132880] Loss_D: -0.021422 Loss_G: -0.008856 Loss_D_real: -0.018850 Loss_D_fake 0.002572
[1288/5000][215/535][132881] Loss_D: -0.019495 Loss_G: 0.019511 Loss_D_real: -0.030344 Loss_D_fake -0.010850
[1288/5000][220/535][132882] Loss_D: -0.019966 Loss_G: 0.014844 Loss_D_real: -0.018372 Loss_D_fake 0.001594
[1288/5000][225/535][132883] Loss_D: -0.020782 Loss_G: 0.007018 Loss_D_real: -0.022924 Loss_D_fake -0.002141
[1288/5000][230/535][132884] Loss_D: -0.020986 Loss_G: 0.000526 Loss_D_real: -0.019706 Loss_D_fake 0.001279
[1288/5000][235/535][132885] Loss_D: -0.019246 Loss_G: 0.018654 Loss_D_real: -0.018989 Loss_D_fake 0.000257
[1288/5000][240/535][132886] Loss_D: -0.020287 Loss_G: -0.002982 Loss_D_real: -0.009741 Loss_D_fake 0.010547
[1288/5000][245/535][132887] Loss_D: -0.019797 Loss_G: 0.010756 Loss_D_real: -0.019547 Loss_D_fake 0.000250
[1288/5000][250/535][132888] Loss_D: -0.019335 Loss_G: 0.021859 Loss_D_real: -0.018746 Loss_D_fake 0.000589
[1288/5000][255/535][132889] Loss_D: -0.020185 Loss_G: -0.003735 Loss_D_real: -0.002081 Loss_D_fake 0.018104
[1288/5000][260/535][132890] Loss_D: -0.018764 Loss_G: 0.004410 Loss_D_real: -0.003446 Loss_D_fake 0.015319
[1288/5000][265/535][132891] Loss_D: -0.020320 Loss_G: 0.029724 Loss_D_real: -0.020518 Loss_D_fake -0.000197
[1288/5000][270/535][132892] Loss_D: -0.019746 Loss_G: 0.013211 Loss_D_real: -0.015697 Loss_D_fake 0.004049
[1288/5000][275/535][132893] Loss_D: -0.020535 Loss_G: 0.000216 Loss_D_real: -0.007780 Loss_D_fake 0.012755
[1288/5000][280/535][132894] Loss_D: -0.019519 Loss_G: 0.006776 Loss_D_real: -0.010371 Loss_D_fake 0.009148
[1288/5000][285/535][132895] Loss_D: -0.021392 Loss_G: 0.011576 Loss_D_real: -0.018347 Loss_D_fake 0.003045
[1288/5000][290/535][132896] Loss_D: -0.020318 Loss_G: 0.006368 Loss_D_real: -0.018910 Loss_D_fake 0.001408
[1288/5000][295/535][132897] Loss_D: -0.021014 Loss_G: 0.015308 Loss_D_real: -0.012890 Loss_D_fake 0.008125
[1288/5000][300/535][132898] Loss_D: -0.020335 Loss_G: 0.007421 Loss_D_real: -0.019960 Loss_D_fake 0.000375
[1288/5000][305/535][132899] Loss_D: -0.019413 Loss_G: -0.002461 Loss_D_real: -0.004885 Loss_D_fake 0.014529
[1288/5000][310/535][132900] Loss_D: -0.019743 Loss_G: 0.016419 Loss_D_real: -0.030066 Loss_D_fake -0.010323
[1288/5000][315/535][132901] Loss_D: -0.021041 Loss_G: -0.000557 Loss_D_real: -0.008939 Loss_D_fake 0.012101
[1288/5000][320/535][132902] Loss_D: -0.020133 Loss_G: -0.009452 Loss_D_real: -0.003889 Loss_D_fake 0.016243
[1288/5000][325/535][132903] Loss_D: -0.018840 Loss_G: -0.009869 Loss_D_real: -0.012448 Loss_D_fake 0.006392
[1288/5000][330/535][132904] Loss_D: -0.018431 Loss_G: 0.016500 Loss_D_real: -0.029166 Loss_D_fake -0.010734
[1288/5000][335/535][132905] Loss_D: -0.020188 Loss_G: 0.012315 Loss_D_real: -0.024636 Loss_D_fake -0.004448
[1288/5000][340/535][132906] Loss_D: -0.019522 Loss_G: -0.014130 Loss_D_real: -0.008633 Loss_D_fake 0.010890
[1288/5000][345/535][132907] Loss_D: -0.019601 Loss_G: 0.003133 Loss_D_real: -0.019009 Loss_D_fake 0.000592
[1288/5000][350/535][132908] Loss_D: -0.020093 Loss_G: 0.011985 Loss_D_real: -0.016128 Loss_D_fake 0.003965
[1288/5000][355/535][132909] Loss_D: -0.020105 Loss_G: 0.002750 Loss_D_real: -0.012012 Loss_D_fake 0.008093
[1288/5000][360/535][132910] Loss_D: -0.018928 Loss_G: 0.004527 Loss_D_real: -0.023012 Loss_D_fake -0.004084
[1288/5000][365/535][132911] Loss_D: -0.018867 Loss_G: 0.032287 Loss_D_real: -0.035024 Loss_D_fake -0.016157
[1288/5000][370/535][132912] Loss_D: -0.019531 Loss_G: -0.006344 Loss_D_real: -0.013173 Loss_D_fake 0.006358
[1288/5000][375/535][132913] Loss_D: -0.019210 Loss_G: 0.009987 Loss_D_real: -0.015439 Loss_D_fake 0.003771
[1288/5000][380/535][132914] Loss_D: -0.020165 Loss_G: 0.024600 Loss_D_real: -0.033025 Loss_D_fake -0.012860
[1288/5000][385/535][132915] Loss_D: -0.020704 Loss_G: 0.008764 Loss_D_real: -0.023727 Loss_D_fake -0.003024
[1288/5000][390/535][132916] Loss_D: -0.020022 Loss_G: 0.001431 Loss_D_real: -0.018986 Loss_D_fake 0.001035
[1288/5000][395/535][132917] Loss_D: -0.019253 Loss_G: 0.010078 Loss_D_real: -0.015537 Loss_D_fake 0.003717
[1288/5000][400/535][132918] Loss_D: -0.018836 Loss_G: 0.017094 Loss_D_real: -0.032253 Loss_D_fake -0.013417
[1288/5000][405/535][132919] Loss_D: -0.020718 Loss_G: -0.009161 Loss_D_real: -0.004530 Loss_D_fake 0.016188
[1288/5000][410/535][132920] Loss_D: -0.019789 Loss_G: 0.003670 Loss_D_real: -0.015395 Loss_D_fake 0.004395
[1288/5000][415/535][132921] Loss_D: -0.020080 Loss_G: -0.015449 Loss_D_real: -0.008465 Loss_D_fake 0.011615
[1288/5000][420/535][132922] Loss_D: -0.019854 Loss_G: -0.001432 Loss_D_real: -0.018095 Loss_D_fake 0.001759
[1288/5000][425/535][132923] Loss_D: -0.020213 Loss_G: 0.004424 Loss_D_real: 0.006398 Loss_D_fake 0.026611
[1288/5000][430/535][132924] Loss_D: -0.020410 Loss_G: -0.001803 Loss_D_real: -0.004431 Loss_D_fake 0.015979
[1288/5000][435/535][132925] Loss_D: -0.019920 Loss_G: 0.015080 Loss_D_real: -0.020265 Loss_D_fake -0.000345
[1288/5000][440/535][132926] Loss_D: -0.019522 Loss_G: 0.020230 Loss_D_real: -0.024799 Loss_D_fake -0.005277
[1288/5000][445/535][132927] Loss_D: -0.019811 Loss_G: 0.002449 Loss_D_real: -0.019848 Loss_D_fake -0.000037
[1288/5000][450/535][132928] Loss_D: -0.020540 Loss_G: 0.016653 Loss_D_real: -0.013652 Loss_D_fake 0.006888
[1288/5000][455/535][132929] Loss_D: -0.019514 Loss_G: -0.022784 Loss_D_real: -0.006949 Loss_D_fake 0.012565
[1288/5000][460/535][132930] Loss_D: -0.020318 Loss_G: 0.016835 Loss_D_real: -0.024272 Loss_D_fake -0.003954
[1288/5000][465/535][132931] Loss_D: -0.017716 Loss_G: -0.016238 Loss_D_real: 0.000537 Loss_D_fake 0.018254
[1288/5000][470/535][132932] Loss_D: -0.019088 Loss_G: 0.002716 Loss_D_real: -0.020122 Loss_D_fake -0.001034
[1288/5000][475/535][132933] Loss_D: -0.019385 Loss_G: 0.006108 Loss_D_real: -0.017347 Loss_D_fake 0.002038
[1288/5000][480/535][132934] Loss_D: -0.019502 Loss_G: 0.010200 Loss_D_real: -0.027605 Loss_D_fake -0.008104
[1288/5000][485/535][132935] Loss_D: -0.020495 Loss_G: 0.022431 Loss_D_real: -0.021506 Loss_D_fake -0.001011
[1288/5000][490/535][132936] Loss_D: -0.019436 Loss_G: 0.013172 Loss_D_real: -0.023736 Loss_D_fake -0.004299
[1288/5000][495/535][132937] Loss_D: -0.020537 Loss_G: -0.007890 Loss_D_real: -0.019218 Loss_D_fake 0.001319
[1288/5000][500/535][132938] Loss_D: -0.019189 Loss_G: 0.005684 Loss_D_real: -0.013629 Loss_D_fake 0.005560
[1288/5000][505/535][132939] Loss_D: -0.020520 Loss_G: 0.009797 Loss_D_real: -0.021372 Loss_D_fake -0.000853
[1288/5000][510/535][132940] Loss_D: -0.021192 Loss_G: 0.006769 Loss_D_real: -0.025671 Loss_D_fake -0.004479
[1288/5000][515/535][132941] Loss_D: -0.020217 Loss_G: 0.012300 Loss_D_real: -0.022063 Loss_D_fake -0.001847
[1288/5000][520/535][132942] Loss_D: -0.019672 Loss_G: 0.012804 Loss_D_real: -0.020222 Loss_D_fake -0.000550
[1288/5000][525/535][132943] Loss_D: -0.018919 Loss_G: -0.006160 Loss_D_real: -0.008413 Loss_D_fake 0.010506
[1288/5000][530/535][132944] Loss_D: -0.020147 Loss_G: 0.001830 Loss_D_real: -0.011232 Loss_D_fake 0.008915
[1288/5000][535/535][132945] Loss_D: -0.021662 Loss_G: 0.003588 Loss_D_real: -0.034183 Loss_D_fake -0.012522
[1289/5000][5/535][132946] Loss_D: -0.020855 Loss_G: 0.018343 Loss_D_real: -0.021655 Loss_D_fake -0.000800
[1289/5000][10/535][132947] Loss_D: -0.021319 Loss_G: 0.009399 Loss_D_real: -0.016284 Loss_D_fake 0.005035
[1289/5000][15/535][132948] Loss_D: -0.018458 Loss_G: 0.026706 Loss_D_real: -0.026849 Loss_D_fake -0.008391
[1289/5000][20/535][132949] Loss_D: -0.019505 Loss_G: 0.001859 Loss_D_real: 0.003553 Loss_D_fake 0.023058
[1289/5000][25/535][132950] Loss_D: -0.019678 Loss_G: 0.005706 Loss_D_real: -0.007416 Loss_D_fake 0.012262
[1289/5000][30/535][132951] Loss_D: -0.019431 Loss_G: 0.003840 Loss_D_real: -0.033986 Loss_D_fake -0.014555
[1289/5000][35/535][132952] Loss_D: -0.020366 Loss_G: -0.003724 Loss_D_real: -0.011446 Loss_D_fake 0.008920
[1289/5000][40/535][132953] Loss_D: -0.019214 Loss_G: 0.005205 Loss_D_real: -0.010873 Loss_D_fake 0.008341
[1289/5000][45/535][132954] Loss_D: -0.020532 Loss_G: 0.000629 Loss_D_real: -0.013916 Loss_D_fake 0.006615
[1289/5000][50/535][132955] Loss_D: -0.020253 Loss_G: -0.000047 Loss_D_real: -0.015867 Loss_D_fake 0.004386
[1289/5000][55/535][132956] Loss_D: -0.018584 Loss_G: -0.003648 Loss_D_real: 0.002181 Loss_D_fake 0.020765
[1289/5000][60/535][132957] Loss_D: -0.019058 Loss_G: 0.018825 Loss_D_real: -0.018748 Loss_D_fake 0.000310
[1289/5000][65/535][132958] Loss_D: -0.020721 Loss_G: -0.011689 Loss_D_real: -0.023678 Loss_D_fake -0.002956
[1289/5000][70/535][132959] Loss_D: -0.020924 Loss_G: 0.020680 Loss_D_real: -0.015551 Loss_D_fake 0.005373
[1289/5000][75/535][132960] Loss_D: -0.020795 Loss_G: -0.000587 Loss_D_real: -0.014644 Loss_D_fake 0.006152
[1289/5000][80/535][132961] Loss_D: -0.019844 Loss_G: 0.027814 Loss_D_real: -0.030942 Loss_D_fake -0.011097
[1289/5000][85/535][132962] Loss_D: -0.019809 Loss_G: 0.008256 Loss_D_real: -0.003484 Loss_D_fake 0.016325
[1289/5000][90/535][132963] Loss_D: -0.019059 Loss_G: 0.015798 Loss_D_real: -0.026748 Loss_D_fake -0.007688
[1289/5000][95/535][132964] Loss_D: -0.020767 Loss_G: -0.013052 Loss_D_real: -0.005022 Loss_D_fake 0.015745
[1289/5000][100/535][132965] Loss_D: -0.020725 Loss_G: 0.012718 Loss_D_real: -0.006972 Loss_D_fake 0.013753
[1289/5000][105/535][132966] Loss_D: -0.021006 Loss_G: -0.006650 Loss_D_real: -0.008384 Loss_D_fake 0.012622
[1289/5000][110/535][132967] Loss_D: -0.018191 Loss_G: 0.017088 Loss_D_real: -0.016985 Loss_D_fake 0.001206
[1289/5000][115/535][132968] Loss_D: -0.019063 Loss_G: -0.002494 Loss_D_real: -0.012711 Loss_D_fake 0.006352
[1289/5000][120/535][132969] Loss_D: -0.019930 Loss_G: 0.001515 Loss_D_real: -0.013242 Loss_D_fake 0.006689
[1289/5000][125/535][132970] Loss_D: -0.019169 Loss_G: 0.024101 Loss_D_real: -0.030282 Loss_D_fake -0.011113
[1289/5000][130/535][132971] Loss_D: -0.018192 Loss_G: 0.023491 Loss_D_real: -0.032248 Loss_D_fake -0.014055
[1289/5000][135/535][132972] Loss_D: -0.020478 Loss_G: -0.001045 Loss_D_real: -0.000900 Loss_D_fake 0.019578
[1289/5000][140/535][132973] Loss_D: -0.019580 Loss_G: -0.006688 Loss_D_real: -0.011195 Loss_D_fake 0.008385
[1289/5000][145/535][132974] Loss_D: -0.018798 Loss_G: 0.019289 Loss_D_real: -0.018778 Loss_D_fake 0.000020
[1289/5000][150/535][132975] Loss_D: -0.019791 Loss_G: 0.008175 Loss_D_real: -0.019645 Loss_D_fake 0.000146
[1289/5000][155/535][132976] Loss_D: -0.020644 Loss_G: -0.006786 Loss_D_real: -0.001065 Loss_D_fake 0.019578
[1289/5000][160/535][132977] Loss_D: -0.019466 Loss_G: 0.002406 Loss_D_real: -0.031729 Loss_D_fake -0.012264
[1289/5000][165/535][132978] Loss_D: -0.018482 Loss_G: 0.007456 Loss_D_real: -0.000201 Loss_D_fake 0.018281
[1289/5000][170/535][132979] Loss_D: -0.018918 Loss_G: 0.016220 Loss_D_real: -0.019257 Loss_D_fake -0.000339
[1289/5000][175/535][132980] Loss_D: -0.018728 Loss_G: -0.000550 Loss_D_real: -0.008357 Loss_D_fake 0.010372
[1289/5000][180/535][132981] Loss_D: -0.018474 Loss_G: 0.019909 Loss_D_real: -0.031252 Loss_D_fake -0.012778
[1289/5000][185/535][132982] Loss_D: -0.019968 Loss_G: 0.006884 Loss_D_real: -0.016799 Loss_D_fake 0.003168
[1289/5000][190/535][132983] Loss_D: -0.019228 Loss_G: -0.005494 Loss_D_real: 0.008700 Loss_D_fake 0.027928
[1289/5000][195/535][132984] Loss_D: -0.018466 Loss_G: 0.017782 Loss_D_real: -0.021111 Loss_D_fake -0.002646
[1289/5000][200/535][132985] Loss_D: -0.019288 Loss_G: -0.006487 Loss_D_real: -0.009914 Loss_D_fake 0.009375
[1289/5000][205/535][132986] Loss_D: -0.019853 Loss_G: -0.002665 Loss_D_real: -0.009960 Loss_D_fake 0.009893
[1289/5000][210/535][132987] Loss_D: -0.019497 Loss_G: -0.001723 Loss_D_real: -0.009501 Loss_D_fake 0.009996
[1289/5000][215/535][132988] Loss_D: -0.017932 Loss_G: -0.005511 Loss_D_real: 0.003471 Loss_D_fake 0.021403
[1289/5000][220/535][132989] Loss_D: -0.018850 Loss_G: 0.017297 Loss_D_real: -0.032279 Loss_D_fake -0.013429
[1289/5000][225/535][132990] Loss_D: -0.018260 Loss_G: -0.008192 Loss_D_real: 0.007375 Loss_D_fake 0.025635
[1289/5000][230/535][132991] Loss_D: -0.019537 Loss_G: 0.003004 Loss_D_real: -0.009173 Loss_D_fake 0.010363
[1289/5000][235/535][132992] Loss_D: -0.017990 Loss_G: 0.027600 Loss_D_real: -0.030636 Loss_D_fake -0.012646
[1289/5000][240/535][132993] Loss_D: -0.019899 Loss_G: -0.001074 Loss_D_real: -0.008629 Loss_D_fake 0.011269
[1289/5000][245/535][132994] Loss_D: -0.020265 Loss_G: 0.001906 Loss_D_real: -0.015819 Loss_D_fake 0.004446
[1289/5000][250/535][132995] Loss_D: -0.017028 Loss_G: 0.026938 Loss_D_real: -0.041339 Loss_D_fake -0.024311
[1289/5000][255/535][132996] Loss_D: -0.021419 Loss_G: 0.009547 Loss_D_real: -0.016563 Loss_D_fake 0.004855
[1289/5000][260/535][132997] Loss_D: -0.019697 Loss_G: 0.017556 Loss_D_real: -0.028956 Loss_D_fake -0.009259
[1289/5000][265/535][132998] Loss_D: -0.020243 Loss_G: 0.007890 Loss_D_real: -0.014502 Loss_D_fake 0.005741
[1289/5000][270/535][132999] Loss_D: -0.019724 Loss_G: 0.003161 Loss_D_real: -0.012408 Loss_D_fake 0.007317
[1289/5000][275/535][133000] Loss_D: -0.021022 Loss_G: -0.014502 Loss_D_real: -0.007472 Loss_D_fake 0.013550
[1289/5000][375/535][133001] Loss_D: -0.022345 Loss_G: 0.015901 Loss_D_real: -0.023781 Loss_D_fake -0.001436
[1289/5000][380/535][133002] Loss_D: -0.018356 Loss_G: 0.017003 Loss_D_real: -0.029363 Loss_D_fake -0.011007
[1289/5000][385/535][133003] Loss_D: -0.018580 Loss_G: 0.014105 Loss_D_real: -0.016835 Loss_D_fake 0.001745
[1289/5000][390/535][133004] Loss_D: -0.018158 Loss_G: 0.009156 Loss_D_real: -0.020399 Loss_D_fake -0.002240
[1289/5000][395/535][133005] Loss_D: -0.018611 Loss_G: -0.003661 Loss_D_real: -0.019791 Loss_D_fake -0.001179
[1289/5000][400/535][133006] Loss_D: -0.019833 Loss_G: -0.000336 Loss_D_real: -0.021084 Loss_D_fake -0.001251
[1289/5000][405/535][133007] Loss_D: -0.019533 Loss_G: -0.003585 Loss_D_real: -0.011324 Loss_D_fake 0.008209
[1289/5000][410/535][133008] Loss_D: -0.020310 Loss_G: 0.004767 Loss_D_real: -0.001574 Loss_D_fake 0.018736
[1289/5000][415/535][133009] Loss_D: -0.019655 Loss_G: 0.014688 Loss_D_real: -0.017828 Loss_D_fake 0.001827
[1289/5000][420/535][133010] Loss_D: -0.018735 Loss_G: 0.001903 Loss_D_real: -0.007316 Loss_D_fake 0.011420
[1289/5000][425/535][133011] Loss_D: -0.017701 Loss_G: -0.020284 Loss_D_real: -0.006963 Loss_D_fake 0.010739
[1289/5000][430/535][133012] Loss_D: -0.020256 Loss_G: 0.006016 Loss_D_real: -0.015129 Loss_D_fake 0.005127
[1289/5000][435/535][133013] Loss_D: -0.019579 Loss_G: 0.022270 Loss_D_real: -0.030511 Loss_D_fake -0.010932
[1289/5000][440/535][133014] Loss_D: -0.018758 Loss_G: -0.010779 Loss_D_real: -0.004249 Loss_D_fake 0.014509
[1289/5000][445/535][133015] Loss_D: -0.020150 Loss_G: 0.009351 Loss_D_real: -0.008733 Loss_D_fake 0.011417
[1289/5000][450/535][133016] Loss_D: -0.018685 Loss_G: -0.006543 Loss_D_real: -0.002254 Loss_D_fake 0.016431
[1289/5000][455/535][133017] Loss_D: -0.020228 Loss_G: 0.007922 Loss_D_real: -0.020268 Loss_D_fake -0.000039
[1289/5000][460/535][133018] Loss_D: -0.019430 Loss_G: 0.001924 Loss_D_real: -0.018858 Loss_D_fake 0.000572
[1289/5000][465/535][133019] Loss_D: -0.019067 Loss_G: 0.015117 Loss_D_real: -0.026247 Loss_D_fake -0.007179
[1289/5000][470/535][133020] Loss_D: -0.019768 Loss_G: 0.010605 Loss_D_real: -0.005051 Loss_D_fake 0.014717
[1289/5000][475/535][133021] Loss_D: -0.019330 Loss_G: 0.020271 Loss_D_real: -0.016259 Loss_D_fake 0.003071
[1289/5000][480/535][133022] Loss_D: -0.020397 Loss_G: 0.009553 Loss_D_real: -0.021335 Loss_D_fake -0.000938
[1289/5000][485/535][133023] Loss_D: -0.019140 Loss_G: -0.014844 Loss_D_real: 0.010775 Loss_D_fake 0.029914
[1289/5000][490/535][133024] Loss_D: -0.018470 Loss_G: 0.017411 Loss_D_real: -0.027206 Loss_D_fake -0.008736
[1289/5000][495/535][133025] Loss_D: -0.019742 Loss_G: 0.007011 Loss_D_real: -0.024207 Loss_D_fake -0.004465
[1289/5000][500/535][133026] Loss_D: -0.020054 Loss_G: -0.004420 Loss_D_real: -0.005527 Loss_D_fake 0.014527
[1289/5000][505/535][133027] Loss_D: -0.019202 Loss_G: 0.013455 Loss_D_real: -0.019455 Loss_D_fake -0.000253
[1289/5000][510/535][133028] Loss_D: -0.019209 Loss_G: 0.015667 Loss_D_real: -0.028699 Loss_D_fake -0.009490
[1289/5000][515/535][133029] Loss_D: -0.020680 Loss_G: 0.005903 Loss_D_real: -0.000834 Loss_D_fake 0.019846
[1289/5000][520/535][133030] Loss_D: -0.019208 Loss_G: 0.007640 Loss_D_real: -0.013583 Loss_D_fake 0.005626
[1289/5000][525/535][133031] Loss_D: -0.020434 Loss_G: 0.015096 Loss_D_real: -0.015195 Loss_D_fake 0.005239
[1289/5000][530/535][133032] Loss_D: -0.020950 Loss_G: 0.004004 Loss_D_real: -0.009983 Loss_D_fake 0.010967
[1289/5000][535/535][133033] Loss_D: -0.021099 Loss_G: 0.009694 Loss_D_real: -0.015741 Loss_D_fake 0.005358
[1290/5000][5/535][133034] Loss_D: -0.019553 Loss_G: -0.003655 Loss_D_real: -0.020684 Loss_D_fake -0.001131
[1290/5000][10/535][133035] Loss_D: -0.019305 Loss_G: 0.006518 Loss_D_real: -0.018954 Loss_D_fake 0.000351
[1290/5000][15/535][133036] Loss_D: -0.020275 Loss_G: 0.008644 Loss_D_real: -0.015728 Loss_D_fake 0.004547
[1290/5000][20/535][133037] Loss_D: -0.020554 Loss_G: 0.008175 Loss_D_real: -0.006129 Loss_D_fake 0.014424
[1290/5000][25/535][133038] Loss_D: -0.020490 Loss_G: 0.007985 Loss_D_real: -0.020609 Loss_D_fake -0.000120
[1290/5000][30/535][133039] Loss_D: -0.021327 Loss_G: 0.012454 Loss_D_real: -0.016864 Loss_D_fake 0.004463
[1290/5000][35/535][133040] Loss_D: -0.020247 Loss_G: 0.028910 Loss_D_real: -0.028027 Loss_D_fake -0.007780
[1290/5000][40/535][133041] Loss_D: -0.019885 Loss_G: 0.004506 Loss_D_real: -0.021861 Loss_D_fake -0.001976
[1290/5000][45/535][133042] Loss_D: -0.018783 Loss_G: 0.012928 Loss_D_real: -0.017881 Loss_D_fake 0.000902
[1290/5000][50/535][133043] Loss_D: -0.020282 Loss_G: 0.001728 Loss_D_real: -0.027646 Loss_D_fake -0.007364
[1290/5000][55/535][133044] Loss_D: -0.020048 Loss_G: 0.010336 Loss_D_real: -0.031168 Loss_D_fake -0.011120
[1290/5000][60/535][133045] Loss_D: -0.019410 Loss_G: 0.012768 Loss_D_real: -0.018768 Loss_D_fake 0.000642
[1290/5000][65/535][133046] Loss_D: -0.020373 Loss_G: 0.001539 Loss_D_real: -0.008305 Loss_D_fake 0.012068
[1290/5000][70/535][133047] Loss_D: -0.019309 Loss_G: 0.010973 Loss_D_real: -0.018636 Loss_D_fake 0.000674
[1290/5000][75/535][133048] Loss_D: -0.019603 Loss_G: 0.018841 Loss_D_real: -0.026037 Loss_D_fake -0.006434
[1290/5000][80/535][133049] Loss_D: -0.019648 Loss_G: 0.021986 Loss_D_real: -0.026555 Loss_D_fake -0.006907
[1290/5000][85/535][133050] Loss_D: -0.019330 Loss_G: 0.010054 Loss_D_real: -0.017635 Loss_D_fake 0.001694
[1290/5000][90/535][133051] Loss_D: -0.020712 Loss_G: -0.002016 Loss_D_real: -0.020394 Loss_D_fake 0.000318
[1290/5000][95/535][133052] Loss_D: -0.020403 Loss_G: 0.004406 Loss_D_real: -0.013842 Loss_D_fake 0.006561
[1290/5000][100/535][133053] Loss_D: -0.020569 Loss_G: 0.012659 Loss_D_real: -0.023646 Loss_D_fake -0.003076
[1290/5000][105/535][133054] Loss_D: -0.019655 Loss_G: 0.001892 Loss_D_real: -0.011822 Loss_D_fake 0.007833
[1290/5000][110/535][133055] Loss_D: -0.019553 Loss_G: -0.008010 Loss_D_real: -0.015091 Loss_D_fake 0.004462
[1290/5000][115/535][133056] Loss_D: -0.021726 Loss_G: 0.014018 Loss_D_real: -0.005119 Loss_D_fake 0.016607
[1290/5000][120/535][133057] Loss_D: -0.018501 Loss_G: -0.011533 Loss_D_real: 0.001920 Loss_D_fake 0.020421
[1290/5000][125/535][133058] Loss_D: -0.021273 Loss_G: 0.009517 Loss_D_real: -0.011420 Loss_D_fake 0.009853
[1290/5000][130/535][133059] Loss_D: -0.018870 Loss_G: -0.007833 Loss_D_real: 0.005359 Loss_D_fake 0.024228
[1290/5000][135/535][133060] Loss_D: -0.018997 Loss_G: -0.001737 Loss_D_real: -0.012670 Loss_D_fake 0.006327
[1290/5000][140/535][133061] Loss_D: -0.020876 Loss_G: 0.008493 Loss_D_real: -0.011330 Loss_D_fake 0.009547
[1290/5000][145/535][133062] Loss_D: -0.020435 Loss_G: 0.009419 Loss_D_real: -0.006064 Loss_D_fake 0.014371
[1290/5000][150/535][133063] Loss_D: -0.019014 Loss_G: -0.012636 Loss_D_real: -0.001622 Loss_D_fake 0.017392
[1290/5000][155/535][133064] Loss_D: -0.021296 Loss_G: 0.009219 Loss_D_real: -0.016274 Loss_D_fake 0.005023
[1290/5000][160/535][133065] Loss_D: -0.019997 Loss_G: 0.006055 Loss_D_real: -0.013616 Loss_D_fake 0.006381
[1290/5000][165/535][133066] Loss_D: -0.018879 Loss_G: 0.010476 Loss_D_real: -0.021997 Loss_D_fake -0.003118
[1290/5000][170/535][133067] Loss_D: -0.019970 Loss_G: 0.014990 Loss_D_real: -0.035880 Loss_D_fake -0.015910
[1290/5000][175/535][133068] Loss_D: -0.020724 Loss_G: -0.000919 Loss_D_real: -0.017449 Loss_D_fake 0.003275
[1290/5000][180/535][133069] Loss_D: -0.020234 Loss_G: 0.006551 Loss_D_real: -0.013561 Loss_D_fake 0.006673
[1290/5000][185/535][133070] Loss_D: -0.018599 Loss_G: 0.026010 Loss_D_real: -0.028356 Loss_D_fake -0.009757
[1290/5000][190/535][133071] Loss_D: -0.017071 Loss_G: -0.017651 Loss_D_real: 0.005447 Loss_D_fake 0.022517
[1290/5000][195/535][133072] Loss_D: -0.020378 Loss_G: -0.001372 Loss_D_real: -0.026252 Loss_D_fake -0.005874
[1290/5000][200/535][133073] Loss_D: -0.018944 Loss_G: 0.004225 Loss_D_real: -0.014214 Loss_D_fake 0.004730
[1290/5000][205/535][133074] Loss_D: -0.020583 Loss_G: 0.002435 Loss_D_real: -0.014074 Loss_D_fake 0.006509
[1290/5000][210/535][133075] Loss_D: -0.019320 Loss_G: 0.006872 Loss_D_real: -0.018789 Loss_D_fake 0.000531
[1290/5000][215/535][133076] Loss_D: -0.019367 Loss_G: 0.025243 Loss_D_real: -0.022648 Loss_D_fake -0.003280
[1290/5000][220/535][133077] Loss_D: -0.019682 Loss_G: 0.012829 Loss_D_real: -0.024017 Loss_D_fake -0.004335
[1290/5000][225/535][133078] Loss_D: -0.019087 Loss_G: 0.014377 Loss_D_real: -0.025662 Loss_D_fake -0.006575
[1290/5000][230/535][133079] Loss_D: -0.020480 Loss_G: 0.011248 Loss_D_real: -0.033278 Loss_D_fake -0.012798
[1290/5000][235/535][133080] Loss_D: -0.019536 Loss_G: 0.001112 Loss_D_real: -0.019611 Loss_D_fake -0.000075
[1290/5000][240/535][133081] Loss_D: -0.015948 Loss_G: 0.023871 Loss_D_real: -0.042835 Loss_D_fake -0.026887
[1290/5000][245/535][133082] Loss_D: -0.018122 Loss_G: -0.010368 Loss_D_real: -0.002388 Loss_D_fake 0.015734
[1290/5000][250/535][133083] Loss_D: -0.019947 Loss_G: 0.003033 Loss_D_real: -0.017114 Loss_D_fake 0.002832
[1290/5000][255/535][133084] Loss_D: -0.018893 Loss_G: 0.003009 Loss_D_real: -0.017551 Loss_D_fake 0.001342
[1290/5000][260/535][133085] Loss_D: -0.020336 Loss_G: 0.013548 Loss_D_real: -0.014176 Loss_D_fake 0.006161
[1290/5000][265/535][133086] Loss_D: -0.019357 Loss_G: 0.020483 Loss_D_real: -0.021658 Loss_D_fake -0.002302
[1290/5000][270/535][133087] Loss_D: -0.020123 Loss_G: -0.007359 Loss_D_real: -0.008179 Loss_D_fake 0.011943
[1290/5000][275/535][133088] Loss_D: -0.020327 Loss_G: 0.017565 Loss_D_real: -0.011628 Loss_D_fake 0.008699
[1290/5000][280/535][133089] Loss_D: -0.019679 Loss_G: 0.013800 Loss_D_real: -0.024453 Loss_D_fake -0.004774
[1290/5000][285/535][133090] Loss_D: -0.020617 Loss_G: -0.014740 Loss_D_real: -0.000607 Loss_D_fake 0.020010
[1290/5000][290/535][133091] Loss_D: -0.018570 Loss_G: 0.028872 Loss_D_real: -0.026571 Loss_D_fake -0.008000
[1290/5000][295/535][133092] Loss_D: -0.018648 Loss_G: 0.008152 Loss_D_real: -0.025032 Loss_D_fake -0.006384
[1290/5000][300/535][133093] Loss_D: -0.018778 Loss_G: -0.012712 Loss_D_real: -0.005781 Loss_D_fake 0.012997
[1290/5000][305/535][133094] Loss_D: -0.019309 Loss_G: 0.022387 Loss_D_real: -0.026701 Loss_D_fake -0.007392
[1290/5000][310/535][133095] Loss_D: -0.019781 Loss_G: -0.008805 Loss_D_real: -0.008965 Loss_D_fake 0.010815
[1290/5000][315/535][133096] Loss_D: -0.020029 Loss_G: 0.016588 Loss_D_real: -0.022182 Loss_D_fake -0.002154
[1290/5000][320/535][133097] Loss_D: -0.021115 Loss_G: 0.006384 Loss_D_real: -0.017352 Loss_D_fake 0.003763
[1290/5000][325/535][133098] Loss_D: -0.021249 Loss_G: -0.002050 Loss_D_real: -0.021381 Loss_D_fake -0.000132
[1290/5000][330/535][133099] Loss_D: -0.019814 Loss_G: 0.002591 Loss_D_real: -0.010792 Loss_D_fake 0.009022
[1290/5000][335/535][133100] Loss_D: -0.020181 Loss_G: 0.008540 Loss_D_real: -0.015987 Loss_D_fake 0.004194
[1290/5000][340/535][133101] Loss_D: -0.020829 Loss_G: -0.001034 Loss_D_real: -0.017181 Loss_D_fake 0.003647
[1290/5000][345/535][133102] Loss_D: -0.020289 Loss_G: -0.000480 Loss_D_real: -0.013315 Loss_D_fake 0.006974
[1290/5000][350/535][133103] Loss_D: -0.020041 Loss_G: 0.000966 Loss_D_real: -0.011218 Loss_D_fake 0.008824
[1290/5000][355/535][133104] Loss_D: -0.019215 Loss_G: 0.016734 Loss_D_real: -0.021603 Loss_D_fake -0.002388
[1290/5000][360/535][133105] Loss_D: -0.020028 Loss_G: 0.006111 Loss_D_real: -0.013565 Loss_D_fake 0.006463
[1290/5000][365/535][133106] Loss_D: -0.019309 Loss_G: -0.007515 Loss_D_real: -0.008115 Loss_D_fake 0.011194
[1290/5000][370/535][133107] Loss_D: -0.019918 Loss_G: -0.016696 Loss_D_real: -0.013443 Loss_D_fake 0.006476
[1290/5000][375/535][133108] Loss_D: -0.020130 Loss_G: -0.000767 Loss_D_real: -0.005958 Loss_D_fake 0.014172
[1290/5000][380/535][133109] Loss_D: -0.019255 Loss_G: -0.005645 Loss_D_real: -0.006029 Loss_D_fake 0.013226
[1290/5000][385/535][133110] Loss_D: -0.019750 Loss_G: 0.015994 Loss_D_real: -0.012334 Loss_D_fake 0.007416
[1290/5000][390/535][133111] Loss_D: -0.019846 Loss_G: -0.001850 Loss_D_real: -0.016423 Loss_D_fake 0.003424
[1290/5000][395/535][133112] Loss_D: -0.020735 Loss_G: 0.005568 Loss_D_real: -0.026416 Loss_D_fake -0.005681
[1290/5000][400/535][133113] Loss_D: -0.021054 Loss_G: 0.027294 Loss_D_real: -0.022269 Loss_D_fake -0.001215
[1290/5000][405/535][133114] Loss_D: -0.019836 Loss_G: 0.016652 Loss_D_real: -0.023417 Loss_D_fake -0.003581
[1290/5000][410/535][133115] Loss_D: -0.020025 Loss_G: -0.011827 Loss_D_real: -0.001969 Loss_D_fake 0.018056
[1290/5000][415/535][133116] Loss_D: -0.019320 Loss_G: -0.012514 Loss_D_real: -0.009468 Loss_D_fake 0.009852
[1290/5000][420/535][133117] Loss_D: -0.019771 Loss_G: 0.013659 Loss_D_real: -0.009661 Loss_D_fake 0.010110
[1290/5000][425/535][133118] Loss_D: -0.018966 Loss_G: 0.014995 Loss_D_real: -0.022687 Loss_D_fake -0.003721
[1290/5000][430/535][133119] Loss_D: -0.018364 Loss_G: 0.008815 Loss_D_real: -0.009574 Loss_D_fake 0.008790
[1290/5000][435/535][133120] Loss_D: -0.019705 Loss_G: 0.010438 Loss_D_real: -0.019559 Loss_D_fake 0.000146
[1290/5000][440/535][133121] Loss_D: -0.018698 Loss_G: 0.020161 Loss_D_real: -0.035414 Loss_D_fake -0.016716
[1290/5000][445/535][133122] Loss_D: -0.021013 Loss_G: 0.004637 Loss_D_real: -0.015531 Loss_D_fake 0.005482
[1290/5000][450/535][133123] Loss_D: -0.019026 Loss_G: -0.013315 Loss_D_real: -0.009635 Loss_D_fake 0.009391
[1290/5000][455/535][133124] Loss_D: -0.018717 Loss_G: 0.016319 Loss_D_real: -0.025729 Loss_D_fake -0.007012
[1290/5000][460/535][133125] Loss_D: -0.020436 Loss_G: 0.013170 Loss_D_real: -0.024213 Loss_D_fake -0.003777
[1290/5000][465/535][133126] Loss_D: -0.019744 Loss_G: 0.014588 Loss_D_real: -0.023861 Loss_D_fake -0.004117
[1290/5000][470/535][133127] Loss_D: -0.022691 Loss_G: 0.022336 Loss_D_real: -0.011217 Loss_D_fake 0.011474
[1290/5000][475/535][133128] Loss_D: -0.018697 Loss_G: 0.000675 Loss_D_real: -0.016296 Loss_D_fake 0.002402
[1290/5000][480/535][133129] Loss_D: -0.018934 Loss_G: 0.030246 Loss_D_real: -0.036042 Loss_D_fake -0.017108
[1290/5000][485/535][133130] Loss_D: -0.020259 Loss_G: 0.026065 Loss_D_real: -0.025627 Loss_D_fake -0.005368
[1290/5000][490/535][133131] Loss_D: -0.019858 Loss_G: 0.003514 Loss_D_real: -0.016948 Loss_D_fake 0.002910
[1290/5000][495/535][133132] Loss_D: -0.020316 Loss_G: 0.006700 Loss_D_real: -0.016674 Loss_D_fake 0.003643
[1290/5000][500/535][133133] Loss_D: -0.021238 Loss_G: 0.019267 Loss_D_real: -0.012680 Loss_D_fake 0.008558
[1290/5000][505/535][133134] Loss_D: -0.018427 Loss_G: -0.013788 Loss_D_real: 0.002957 Loss_D_fake 0.021384
[1290/5000][510/535][133135] Loss_D: -0.020867 Loss_G: 0.010580 Loss_D_real: -0.016802 Loss_D_fake 0.004065
[1290/5000][515/535][133136] Loss_D: -0.021234 Loss_G: 0.009141 Loss_D_real: -0.007137 Loss_D_fake 0.014097
[1290/5000][520/535][133137] Loss_D: -0.019246 Loss_G: 0.023483 Loss_D_real: -0.028751 Loss_D_fake -0.009505
[1290/5000][525/535][133138] Loss_D: -0.021275 Loss_G: -0.002796 Loss_D_real: -0.025012 Loss_D_fake -0.003737
[1290/5000][530/535][133139] Loss_D: -0.019888 Loss_G: 0.012209 Loss_D_real: -0.020148 Loss_D_fake -0.000260
[1290/5000][535/535][133140] Loss_D: -0.021666 Loss_G: 0.032295 Loss_D_real: -0.032378 Loss_D_fake -0.010712
[1291/5000][5/535][133141] Loss_D: -0.018946 Loss_G: -0.002552 Loss_D_real: -0.008614 Loss_D_fake 0.010332
[1291/5000][10/535][133142] Loss_D: -0.022017 Loss_G: 0.000232 Loss_D_real: -0.016836 Loss_D_fake 0.005180
[1291/5000][15/535][133143] Loss_D: -0.020040 Loss_G: -0.004122 Loss_D_real: -0.011851 Loss_D_fake 0.008189
[1291/5000][20/535][133144] Loss_D: -0.019741 Loss_G: 0.002021 Loss_D_real: -0.009463 Loss_D_fake 0.010278
[1291/5000][25/535][133145] Loss_D: -0.019039 Loss_G: 0.005814 Loss_D_real: -0.034962 Loss_D_fake -0.015923
[1291/5000][30/535][133146] Loss_D: -0.018912 Loss_G: 0.003552 Loss_D_real: -0.017272 Loss_D_fake 0.001640
[1291/5000][35/535][133147] Loss_D: -0.019624 Loss_G: 0.011119 Loss_D_real: -0.016066 Loss_D_fake 0.003558
[1291/5000][40/535][133148] Loss_D: -0.018865 Loss_G: 0.013806 Loss_D_real: -0.024371 Loss_D_fake -0.005506
[1291/5000][45/535][133149] Loss_D: -0.019809 Loss_G: 0.026210 Loss_D_real: -0.026472 Loss_D_fake -0.006663
[1291/5000][50/535][133150] Loss_D: -0.020081 Loss_G: -0.009611 Loss_D_real: -0.006771 Loss_D_fake 0.013310
[1291/5000][55/535][133151] Loss_D: -0.020905 Loss_G: 0.008417 Loss_D_real: -0.012685 Loss_D_fake 0.008220
[1291/5000][60/535][133152] Loss_D: -0.019476 Loss_G: 0.018922 Loss_D_real: -0.015856 Loss_D_fake 0.003619
[1291/5000][65/535][133153] Loss_D: -0.019303 Loss_G: 0.007036 Loss_D_real: -0.008667 Loss_D_fake 0.010636
[1291/5000][70/535][133154] Loss_D: -0.020195 Loss_G: 0.010205 Loss_D_real: -0.008387 Loss_D_fake 0.011808
[1291/5000][75/535][133155] Loss_D: -0.019574 Loss_G: -0.005951 Loss_D_real: 0.003083 Loss_D_fake 0.022657
[1291/5000][80/535][133156] Loss_D: -0.021193 Loss_G: 0.010667 Loss_D_real: -0.026981 Loss_D_fake -0.005788
[1291/5000][85/535][133157] Loss_D: -0.020606 Loss_G: 0.006445 Loss_D_real: -0.013119 Loss_D_fake 0.007487
[1291/5000][90/535][133158] Loss_D: -0.020911 Loss_G: -0.003558 Loss_D_real: -0.017540 Loss_D_fake 0.003372
[1291/5000][95/535][133159] Loss_D: -0.019779 Loss_G: 0.012461 Loss_D_real: -0.013101 Loss_D_fake 0.006677
[1291/5000][100/535][133160] Loss_D: -0.019777 Loss_G: 0.011424 Loss_D_real: -0.022855 Loss_D_fake -0.003077
[1291/5000][105/535][133161] Loss_D: -0.020480 Loss_G: -0.010792 Loss_D_real: -0.009452 Loss_D_fake 0.011028
[1291/5000][110/535][133162] Loss_D: -0.019743 Loss_G: -0.015508 Loss_D_real: 0.000706 Loss_D_fake 0.020449
[1291/5000][115/535][133163] Loss_D: -0.019606 Loss_G: -0.002314 Loss_D_real: -0.008865 Loss_D_fake 0.010741
[1291/5000][120/535][133164] Loss_D: -0.019263 Loss_G: 0.007458 Loss_D_real: -0.019151 Loss_D_fake 0.000112
[1291/5000][125/535][133165] Loss_D: -0.018336 Loss_G: 0.013053 Loss_D_real: -0.015877 Loss_D_fake 0.002459
[1291/5000][130/535][133166] Loss_D: -0.020266 Loss_G: 0.009046 Loss_D_real: -0.013015 Loss_D_fake 0.007251
[1291/5000][135/535][133167] Loss_D: -0.021074 Loss_G: 0.004349 Loss_D_real: -0.021223 Loss_D_fake -0.000149
[1291/5000][140/535][133168] Loss_D: -0.019787 Loss_G: -0.006412 Loss_D_real: -0.009768 Loss_D_fake 0.010019
[1291/5000][145/535][133169] Loss_D: -0.019996 Loss_G: -0.017729 Loss_D_real: 0.006017 Loss_D_fake 0.026014
[1291/5000][150/535][133170] Loss_D: -0.019256 Loss_G: 0.007618 Loss_D_real: -0.014769 Loss_D_fake 0.004487
[1291/5000][155/535][133171] Loss_D: -0.018886 Loss_G: 0.029956 Loss_D_real: -0.039650 Loss_D_fake -0.020764
[1291/5000][160/535][133172] Loss_D: -0.019572 Loss_G: 0.005072 Loss_D_real: -0.015088 Loss_D_fake 0.004484
[1291/5000][165/535][133173] Loss_D: -0.020236 Loss_G: 0.017572 Loss_D_real: -0.032043 Loss_D_fake -0.011807
[1291/5000][170/535][133174] Loss_D: -0.020022 Loss_G: 0.008817 Loss_D_real: -0.014158 Loss_D_fake 0.005864
[1291/5000][175/535][133175] Loss_D: -0.019128 Loss_G: 0.008979 Loss_D_real: -0.018292 Loss_D_fake 0.000836
[1291/5000][180/535][133176] Loss_D: -0.020841 Loss_G: 0.016695 Loss_D_real: -0.020047 Loss_D_fake 0.000794
[1291/5000][185/535][133177] Loss_D: -0.018695 Loss_G: 0.022134 Loss_D_real: -0.028829 Loss_D_fake -0.010133
[1291/5000][190/535][133178] Loss_D: -0.020234 Loss_G: -0.011475 Loss_D_real: -0.009946 Loss_D_fake 0.010288
[1291/5000][195/535][133179] Loss_D: -0.020670 Loss_G: 0.011305 Loss_D_real: -0.021540 Loss_D_fake -0.000869
[1291/5000][200/535][133180] Loss_D: -0.019180 Loss_G: 0.008778 Loss_D_real: -0.017315 Loss_D_fake 0.001866
[1291/5000][205/535][133181] Loss_D: -0.018644 Loss_G: 0.018952 Loss_D_real: -0.027766 Loss_D_fake -0.009122
[1291/5000][210/535][133182] Loss_D: -0.021081 Loss_G: 0.020748 Loss_D_real: -0.018962 Loss_D_fake 0.002118
[1291/5000][215/535][133183] Loss_D: -0.021566 Loss_G: -0.001353 Loss_D_real: -0.012568 Loss_D_fake 0.008998
[1291/5000][220/535][133184] Loss_D: -0.020834 Loss_G: 0.018357 Loss_D_real: -0.019407 Loss_D_fake 0.001426
[1291/5000][225/535][133185] Loss_D: -0.018929 Loss_G: 0.016985 Loss_D_real: -0.019711 Loss_D_fake -0.000783
[1291/5000][230/535][133186] Loss_D: -0.019310 Loss_G: 0.014887 Loss_D_real: -0.026561 Loss_D_fake -0.007251
[1291/5000][235/535][133187] Loss_D: -0.018613 Loss_G: 0.019919 Loss_D_real: -0.029224 Loss_D_fake -0.010611
[1291/5000][240/535][133188] Loss_D: -0.019760 Loss_G: 0.005892 Loss_D_real: -0.008293 Loss_D_fake 0.011467
[1291/5000][245/535][133189] Loss_D: -0.019787 Loss_G: 0.006561 Loss_D_real: -0.007710 Loss_D_fake 0.012077
[1291/5000][250/535][133190] Loss_D: -0.019005 Loss_G: 0.004396 Loss_D_real: -0.019895 Loss_D_fake -0.000890
[1291/5000][255/535][133191] Loss_D: -0.020505 Loss_G: 0.011421 Loss_D_real: -0.024885 Loss_D_fake -0.004380
[1291/5000][260/535][133192] Loss_D: -0.021068 Loss_G: 0.011046 Loss_D_real: -0.028049 Loss_D_fake -0.006981
[1291/5000][265/535][133193] Loss_D: -0.018712 Loss_G: 0.001965 Loss_D_real: -0.009705 Loss_D_fake 0.009007
[1291/5000][270/535][133194] Loss_D: -0.017179 Loss_G: 0.025427 Loss_D_real: -0.033663 Loss_D_fake -0.016484
[1291/5000][275/535][133195] Loss_D: -0.020077 Loss_G: 0.025704 Loss_D_real: -0.020357 Loss_D_fake -0.000280
[1291/5000][280/535][133196] Loss_D: -0.021205 Loss_G: -0.001095 Loss_D_real: -0.026879 Loss_D_fake -0.005674
[1291/5000][285/535][133197] Loss_D: -0.020499 Loss_G: 0.010727 Loss_D_real: -0.023538 Loss_D_fake -0.003039
[1291/5000][290/535][133198] Loss_D: -0.019893 Loss_G: -0.007991 Loss_D_real: -0.006510 Loss_D_fake 0.013383
[1291/5000][295/535][133199] Loss_D: -0.019389 Loss_G: 0.015126 Loss_D_real: -0.025605 Loss_D_fake -0.006216
[1291/5000][300/535][133200] Loss_D: -0.020042 Loss_G: -0.001526 Loss_D_real: -0.012462 Loss_D_fake 0.007580
[1291/5000][305/535][133201] Loss_D: -0.018862 Loss_G: 0.029465 Loss_D_real: -0.029244 Loss_D_fake -0.010382
[1291/5000][310/535][133202] Loss_D: -0.019791 Loss_G: 0.011443 Loss_D_real: -0.023156 Loss_D_fake -0.003365
[1291/5000][315/535][133203] Loss_D: -0.020193 Loss_G: -0.004234 Loss_D_real: 0.002536 Loss_D_fake 0.022729
[1291/5000][320/535][133204] Loss_D: -0.019307 Loss_G: -0.011263 Loss_D_real: -0.009430 Loss_D_fake 0.009877
[1291/5000][325/535][133205] Loss_D: -0.019074 Loss_G: 0.012598 Loss_D_real: -0.022828 Loss_D_fake -0.003754
[1291/5000][330/535][133206] Loss_D: -0.019760 Loss_G: 0.015682 Loss_D_real: -0.029553 Loss_D_fake -0.009793
[1291/5000][335/535][133207] Loss_D: -0.020474 Loss_G: -0.007693 Loss_D_real: 0.001967 Loss_D_fake 0.022440
[1291/5000][340/535][133208] Loss_D: -0.019734 Loss_G: 0.009378 Loss_D_real: -0.020119 Loss_D_fake -0.000384
[1291/5000][345/535][133209] Loss_D: -0.019801 Loss_G: -0.002889 Loss_D_real: -0.012171 Loss_D_fake 0.007630
[1291/5000][350/535][133210] Loss_D: -0.020317 Loss_G: 0.013275 Loss_D_real: -0.027395 Loss_D_fake -0.007078
[1291/5000][355/535][133211] Loss_D: -0.019407 Loss_G: 0.006573 Loss_D_real: -0.012530 Loss_D_fake 0.006877
[1291/5000][360/535][133212] Loss_D: -0.020725 Loss_G: 0.022276 Loss_D_real: -0.022431 Loss_D_fake -0.001706
[1291/5000][365/535][133213] Loss_D: -0.019966 Loss_G: -0.004498 Loss_D_real: -0.000852 Loss_D_fake 0.019114
[1291/5000][370/535][133214] Loss_D: -0.020777 Loss_G: -0.003958 Loss_D_real: -0.010756 Loss_D_fake 0.010020
[1291/5000][375/535][133215] Loss_D: -0.020191 Loss_G: 0.006360 Loss_D_real: -0.015994 Loss_D_fake 0.004196
[1291/5000][380/535][133216] Loss_D: -0.020496 Loss_G: -0.002063 Loss_D_real: -0.019616 Loss_D_fake 0.000879
[1291/5000][385/535][133217] Loss_D: -0.019186 Loss_G: 0.025382 Loss_D_real: -0.026725 Loss_D_fake -0.007538
[1291/5000][390/535][133218] Loss_D: -0.019613 Loss_G: 0.013034 Loss_D_real: -0.020311 Loss_D_fake -0.000698
[1291/5000][395/535][133219] Loss_D: -0.019484 Loss_G: 0.008077 Loss_D_real: -0.005995 Loss_D_fake 0.013488
[1291/5000][400/535][133220] Loss_D: -0.021466 Loss_G: -0.008474 Loss_D_real: -0.030381 Loss_D_fake -0.008916
[1291/5000][405/535][133221] Loss_D: -0.019037 Loss_G: -0.014158 Loss_D_real: 0.010745 Loss_D_fake 0.029782
[1291/5000][410/535][133222] Loss_D: -0.018859 Loss_G: 0.024247 Loss_D_real: -0.027189 Loss_D_fake -0.008330
[1291/5000][415/535][133223] Loss_D: -0.020385 Loss_G: 0.025672 Loss_D_real: -0.020570 Loss_D_fake -0.000185
[1291/5000][420/535][133224] Loss_D: -0.022008 Loss_G: 0.008485 Loss_D_real: -0.028764 Loss_D_fake -0.006755
[1291/5000][425/535][133225] Loss_D: -0.020309 Loss_G: 0.015308 Loss_D_real: -0.015218 Loss_D_fake 0.005091
[1291/5000][430/535][133226] Loss_D: -0.018699 Loss_G: -0.010206 Loss_D_real: -0.007364 Loss_D_fake 0.011335
[1291/5000][435/535][133227] Loss_D: -0.019771 Loss_G: 0.008288 Loss_D_real: -0.035975 Loss_D_fake -0.016205
[1291/5000][440/535][133228] Loss_D: -0.020034 Loss_G: 0.021326 Loss_D_real: -0.026095 Loss_D_fake -0.006061
[1291/5000][445/535][133229] Loss_D: -0.020907 Loss_G: 0.020273 Loss_D_real: -0.017517 Loss_D_fake 0.003389
[1291/5000][450/535][133230] Loss_D: -0.018710 Loss_G: 0.008531 Loss_D_real: -0.025354 Loss_D_fake -0.006643
[1291/5000][455/535][133231] Loss_D: -0.020028 Loss_G: 0.007747 Loss_D_real: -0.020535 Loss_D_fake -0.000507
[1291/5000][460/535][133232] Loss_D: -0.020017 Loss_G: -0.009146 Loss_D_real: -0.011219 Loss_D_fake 0.008799
[1291/5000][465/535][133233] Loss_D: -0.019231 Loss_G: -0.001611 Loss_D_real: -0.016264 Loss_D_fake 0.002967
[1291/5000][470/535][133234] Loss_D: -0.020639 Loss_G: 0.009222 Loss_D_real: -0.014128 Loss_D_fake 0.006511
[1291/5000][475/535][133235] Loss_D: -0.019823 Loss_G: 0.034173 Loss_D_real: -0.025392 Loss_D_fake -0.005569
[1291/5000][480/535][133236] Loss_D: -0.020716 Loss_G: 0.021703 Loss_D_real: -0.017830 Loss_D_fake 0.002886
[1291/5000][485/535][133237] Loss_D: -0.020077 Loss_G: -0.004831 Loss_D_real: -0.016824 Loss_D_fake 0.003253
[1291/5000][490/535][133238] Loss_D: -0.019658 Loss_G: -0.005466 Loss_D_real: -0.015218 Loss_D_fake 0.004441
[1291/5000][495/535][133239] Loss_D: -0.019696 Loss_G: 0.023825 Loss_D_real: -0.024530 Loss_D_fake -0.004834
[1291/5000][500/535][133240] Loss_D: -0.020580 Loss_G: 0.019603 Loss_D_real: -0.024357 Loss_D_fake -0.003778
[1291/5000][505/535][133241] Loss_D: -0.020517 Loss_G: 0.011583 Loss_D_real: -0.026155 Loss_D_fake -0.005638
[1291/5000][510/535][133242] Loss_D: -0.021283 Loss_G: 0.024748 Loss_D_real: -0.025871 Loss_D_fake -0.004588
[1291/5000][515/535][133243] Loss_D: -0.019112 Loss_G: 0.008233 Loss_D_real: -0.009661 Loss_D_fake 0.009451
[1291/5000][520/535][133244] Loss_D: -0.020168 Loss_G: 0.023069 Loss_D_real: -0.017851 Loss_D_fake 0.002317
[1291/5000][525/535][133245] Loss_D: -0.019844 Loss_G: 0.004474 Loss_D_real: -0.020075 Loss_D_fake -0.000230
[1291/5000][530/535][133246] Loss_D: -0.019966 Loss_G: 0.004996 Loss_D_real: -0.014136 Loss_D_fake 0.005830
[1291/5000][535/535][133247] Loss_D: -0.020432 Loss_G: -0.005899 Loss_D_real: -0.008164 Loss_D_fake 0.012269
[1292/5000][5/535][133248] Loss_D: -0.022473 Loss_G: 0.016157 Loss_D_real: -0.017234 Loss_D_fake 0.005239
[1292/5000][10/535][133249] Loss_D: -0.019360 Loss_G: -0.009094 Loss_D_real: 0.001251 Loss_D_fake 0.020611
[1292/5000][15/535][133250] Loss_D: -0.019437 Loss_G: 0.009963 Loss_D_real: -0.022754 Loss_D_fake -0.003318
[1292/5000][20/535][133251] Loss_D: -0.020028 Loss_G: 0.002987 Loss_D_real: -0.012852 Loss_D_fake 0.007176
[1292/5000][25/535][133252] Loss_D: -0.018748 Loss_G: 0.006273 Loss_D_real: -0.032408 Loss_D_fake -0.013660
[1292/5000][30/535][133253] Loss_D: -0.018301 Loss_G: 0.005820 Loss_D_real: -0.018339 Loss_D_fake -0.000038
[1292/5000][35/535][133254] Loss_D: -0.019389 Loss_G: 0.006326 Loss_D_real: -0.021492 Loss_D_fake -0.002102
[1292/5000][40/535][133255] Loss_D: -0.019830 Loss_G: 0.009029 Loss_D_real: -0.017552 Loss_D_fake 0.002278
[1292/5000][45/535][133256] Loss_D: -0.020901 Loss_G: -0.000609 Loss_D_real: -0.024825 Loss_D_fake -0.003924
[1292/5000][50/535][133257] Loss_D: -0.019924 Loss_G: 0.013473 Loss_D_real: -0.017486 Loss_D_fake 0.002438
[1292/5000][55/535][133258] Loss_D: -0.019986 Loss_G: 0.013964 Loss_D_real: -0.025019 Loss_D_fake -0.005032
[1292/5000][60/535][133259] Loss_D: -0.020148 Loss_G: 0.006316 Loss_D_real: -0.019224 Loss_D_fake 0.000924
[1292/5000][65/535][133260] Loss_D: -0.018771 Loss_G: 0.005669 Loss_D_real: -0.020002 Loss_D_fake -0.001230
[1292/5000][70/535][133261] Loss_D: -0.018757 Loss_G: 0.013716 Loss_D_real: -0.022636 Loss_D_fake -0.003880
[1292/5000][75/535][133262] Loss_D: -0.018864 Loss_G: 0.011574 Loss_D_real: -0.017596 Loss_D_fake 0.001269
[1292/5000][80/535][133263] Loss_D: -0.020958 Loss_G: -0.006479 Loss_D_real: -0.016893 Loss_D_fake 0.004065
[1292/5000][85/535][133264] Loss_D: -0.019021 Loss_G: 0.004810 Loss_D_real: -0.019744 Loss_D_fake -0.000723
[1292/5000][90/535][133265] Loss_D: -0.020186 Loss_G: 0.019378 Loss_D_real: -0.023827 Loss_D_fake -0.003641
[1292/5000][95/535][133266] Loss_D: -0.018594 Loss_G: -0.002780 Loss_D_real: -0.007416 Loss_D_fake 0.011178
[1292/5000][100/535][133267] Loss_D: -0.020638 Loss_G: 0.009271 Loss_D_real: -0.019310 Loss_D_fake 0.001328
[1292/5000][105/535][133268] Loss_D: -0.017914 Loss_G: 0.014246 Loss_D_real: -0.031858 Loss_D_fake -0.013944
[1292/5000][110/535][133269] Loss_D: -0.020281 Loss_G: 0.011569 Loss_D_real: -0.012897 Loss_D_fake 0.007384
[1292/5000][115/535][133270] Loss_D: -0.019539 Loss_G: 0.001240 Loss_D_real: -0.006653 Loss_D_fake 0.012887
[1292/5000][120/535][133271] Loss_D: -0.020877 Loss_G: 0.002567 Loss_D_real: -0.006454 Loss_D_fake 0.014423
[1292/5000][125/535][133272] Loss_D: -0.019628 Loss_G: 0.013639 Loss_D_real: -0.029079 Loss_D_fake -0.009451
[1292/5000][130/535][133273] Loss_D: -0.020448 Loss_G: -0.003337 Loss_D_real: -0.014345 Loss_D_fake 0.006104
[1292/5000][135/535][133274] Loss_D: -0.019553 Loss_G: -0.002812 Loss_D_real: -0.018472 Loss_D_fake 0.001080
[1292/5000][140/535][133275] Loss_D: -0.020322 Loss_G: -0.000772 Loss_D_real: -0.013877 Loss_D_fake 0.006445
[1292/5000][145/535][133276] Loss_D: -0.018546 Loss_G: 0.021614 Loss_D_real: -0.031789 Loss_D_fake -0.013243
[1292/5000][150/535][133277] Loss_D: -0.019833 Loss_G: -0.003757 Loss_D_real: -0.007354 Loss_D_fake 0.012480
[1292/5000][155/535][133278] Loss_D: -0.019835 Loss_G: 0.007244 Loss_D_real: -0.013606 Loss_D_fake 0.006229
[1292/5000][160/535][133279] Loss_D: -0.018329 Loss_G: -0.023487 Loss_D_real: -0.005592 Loss_D_fake 0.012737
[1292/5000][165/535][133280] Loss_D: -0.020557 Loss_G: 0.011698 Loss_D_real: -0.017679 Loss_D_fake 0.002878
[1292/5000][170/535][133281] Loss_D: -0.021637 Loss_G: 0.005356 Loss_D_real: -0.022645 Loss_D_fake -0.001008
[1292/5000][175/535][133282] Loss_D: -0.020908 Loss_G: 0.009484 Loss_D_real: -0.015271 Loss_D_fake 0.005637
[1292/5000][180/535][133283] Loss_D: -0.021499 Loss_G: 0.015322 Loss_D_real: -0.008259 Loss_D_fake 0.013240
[1292/5000][185/535][133284] Loss_D: -0.020026 Loss_G: -0.002073 Loss_D_real: -0.014259 Loss_D_fake 0.005767
[1292/5000][190/535][133285] Loss_D: -0.019788 Loss_G: 0.000023 Loss_D_real: -0.013728 Loss_D_fake 0.006060
[1292/5000][195/535][133286] Loss_D: -0.020661 Loss_G: 0.008967 Loss_D_real: -0.016136 Loss_D_fake 0.004525
[1292/5000][200/535][133287] Loss_D: -0.020996 Loss_G: -0.000072 Loss_D_real: -0.026460 Loss_D_fake -0.005463
[1292/5000][205/535][133288] Loss_D: -0.020281 Loss_G: 0.006978 Loss_D_real: -0.015726 Loss_D_fake 0.004555
[1292/5000][210/535][133289] Loss_D: -0.020465 Loss_G: 0.007731 Loss_D_real: -0.009700 Loss_D_fake 0.010765
[1292/5000][215/535][133290] Loss_D: -0.022049 Loss_G: 0.021045 Loss_D_real: -0.014628 Loss_D_fake 0.007421
[1292/5000][220/535][133291] Loss_D: -0.019382 Loss_G: 0.004050 Loss_D_real: -0.025189 Loss_D_fake -0.005807
[1292/5000][225/535][133292] Loss_D: -0.019722 Loss_G: 0.003788 Loss_D_real: -0.011007 Loss_D_fake 0.008715
[1292/5000][230/535][133293] Loss_D: -0.020267 Loss_G: 0.000624 Loss_D_real: -0.001426 Loss_D_fake 0.018840
[1292/5000][235/535][133294] Loss_D: -0.019512 Loss_G: 0.004397 Loss_D_real: -0.017993 Loss_D_fake 0.001519
[1292/5000][240/535][133295] Loss_D: -0.019104 Loss_G: 0.009775 Loss_D_real: -0.012450 Loss_D_fake 0.006654
[1292/5000][245/535][133296] Loss_D: -0.019790 Loss_G: 0.010218 Loss_D_real: -0.023536 Loss_D_fake -0.003746
[1292/5000][250/535][133297] Loss_D: -0.019013 Loss_G: 0.003982 Loss_D_real: -0.006091 Loss_D_fake 0.012921
[1292/5000][255/535][133298] Loss_D: -0.021106 Loss_G: -0.007679 Loss_D_real: -0.007735 Loss_D_fake 0.013371
[1292/5000][260/535][133299] Loss_D: -0.019314 Loss_G: 0.001902 Loss_D_real: -0.020898 Loss_D_fake -0.001584
[1292/5000][265/535][133300] Loss_D: -0.019333 Loss_G: 0.000123 Loss_D_real: -0.014529 Loss_D_fake 0.004804
[1292/5000][270/535][133301] Loss_D: -0.020185 Loss_G: -0.004034 Loss_D_real: 0.001626 Loss_D_fake 0.021811
[1292/5000][275/535][133302] Loss_D: -0.019958 Loss_G: 0.025289 Loss_D_real: -0.028388 Loss_D_fake -0.008430
[1292/5000][280/535][133303] Loss_D: -0.020516 Loss_G: -0.005293 Loss_D_real: -0.005983 Loss_D_fake 0.014533
[1292/5000][285/535][133304] Loss_D: -0.019944 Loss_G: 0.006265 Loss_D_real: 0.003353 Loss_D_fake 0.023297
[1292/5000][290/535][133305] Loss_D: -0.020327 Loss_G: -0.003404 Loss_D_real: -0.005525 Loss_D_fake 0.014803
[1292/5000][295/535][133306] Loss_D: -0.018831 Loss_G: -0.011617 Loss_D_real: 0.005361 Loss_D_fake 0.024192
[1292/5000][300/535][133307] Loss_D: -0.019985 Loss_G: 0.013706 Loss_D_real: -0.022419 Loss_D_fake -0.002434
[1292/5000][305/535][133308] Loss_D: -0.020831 Loss_G: 0.027163 Loss_D_real: -0.027333 Loss_D_fake -0.006502
[1292/5000][310/535][133309] Loss_D: -0.020331 Loss_G: 0.017036 Loss_D_real: -0.013781 Loss_D_fake 0.006550
[1292/5000][315/535][133310] Loss_D: -0.020060 Loss_G: 0.014621 Loss_D_real: -0.016823 Loss_D_fake 0.003237
[1292/5000][320/535][133311] Loss_D: -0.020003 Loss_G: 0.034138 Loss_D_real: -0.024110 Loss_D_fake -0.004107
[1292/5000][325/535][133312] Loss_D: -0.019108 Loss_G: 0.004924 Loss_D_real: -0.015096 Loss_D_fake 0.004011
[1292/5000][330/535][133313] Loss_D: -0.018778 Loss_G: 0.019270 Loss_D_real: -0.032103 Loss_D_fake -0.013325
[1292/5000][335/535][133314] Loss_D: -0.019878 Loss_G: 0.001127 Loss_D_real: -0.014514 Loss_D_fake 0.005364
[1292/5000][340/535][133315] Loss_D: -0.020733 Loss_G: 0.016777 Loss_D_real: -0.021642 Loss_D_fake -0.000909
[1292/5000][345/535][133316] Loss_D: -0.019955 Loss_G: 0.003816 Loss_D_real: -0.021925 Loss_D_fake -0.001971
[1292/5000][350/535][133317] Loss_D: -0.018580 Loss_G: 0.018291 Loss_D_real: -0.018632 Loss_D_fake -0.000052
[1292/5000][355/535][133318] Loss_D: -0.018716 Loss_G: 0.022256 Loss_D_real: -0.035564 Loss_D_fake -0.016848
[1292/5000][360/535][133319] Loss_D: -0.018958 Loss_G: -0.006032 Loss_D_real: -0.011215 Loss_D_fake 0.007743
[1292/5000][365/535][133320] Loss_D: -0.019609 Loss_G: -0.005425 Loss_D_real: -0.026887 Loss_D_fake -0.007278
[1292/5000][370/535][133321] Loss_D: -0.020712 Loss_G: 0.004115 Loss_D_real: -0.021816 Loss_D_fake -0.001105
[1292/5000][375/535][133322] Loss_D: -0.020197 Loss_G: 0.030643 Loss_D_real: -0.016131 Loss_D_fake 0.004067
[1292/5000][380/535][133323] Loss_D: -0.019019 Loss_G: -0.002279 Loss_D_real: -0.004212 Loss_D_fake 0.014807
[1292/5000][385/535][133324] Loss_D: -0.019806 Loss_G: 0.026755 Loss_D_real: -0.035371 Loss_D_fake -0.015566
[1292/5000][390/535][133325] Loss_D: -0.020573 Loss_G: 0.010365 Loss_D_real: -0.012378 Loss_D_fake 0.008195
[1292/5000][395/535][133326] Loss_D: -0.018916 Loss_G: -0.006139 Loss_D_real: -0.009850 Loss_D_fake 0.009066
[1292/5000][400/535][133327] Loss_D: -0.020512 Loss_G: 0.010929 Loss_D_real: -0.021627 Loss_D_fake -0.001115
[1292/5000][405/535][133328] Loss_D: -0.019012 Loss_G: -0.005447 Loss_D_real: 0.000908 Loss_D_fake 0.019920
[1292/5000][410/535][133329] Loss_D: -0.020187 Loss_G: 0.015607 Loss_D_real: -0.023359 Loss_D_fake -0.003172
[1292/5000][415/535][133330] Loss_D: -0.021155 Loss_G: 0.021863 Loss_D_real: -0.018533 Loss_D_fake 0.002622
[1292/5000][420/535][133331] Loss_D: -0.020015 Loss_G: 0.019937 Loss_D_real: -0.030823 Loss_D_fake -0.010808
[1292/5000][425/535][133332] Loss_D: -0.020285 Loss_G: -0.010349 Loss_D_real: -0.016314 Loss_D_fake 0.003971
[1292/5000][430/535][133333] Loss_D: -0.018886 Loss_G: -0.023406 Loss_D_real: -0.003285 Loss_D_fake 0.015601
[1292/5000][435/535][133334] Loss_D: -0.020154 Loss_G: 0.012266 Loss_D_real: -0.015127 Loss_D_fake 0.005026
[1292/5000][440/535][133335] Loss_D: -0.018817 Loss_G: 0.019912 Loss_D_real: -0.021554 Loss_D_fake -0.002737
[1292/5000][445/535][133336] Loss_D: -0.019767 Loss_G: -0.014432 Loss_D_real: -0.004578 Loss_D_fake 0.015189
[1292/5000][450/535][133337] Loss_D: -0.018993 Loss_G: 0.008836 Loss_D_real: -0.016922 Loss_D_fake 0.002070
[1292/5000][455/535][133338] Loss_D: -0.020456 Loss_G: -0.001108 Loss_D_real: -0.012052 Loss_D_fake 0.008404
[1292/5000][460/535][133339] Loss_D: -0.019569 Loss_G: 0.000081 Loss_D_real: -0.004330 Loss_D_fake 0.015239
[1292/5000][465/535][133340] Loss_D: -0.019635 Loss_G: -0.001632 Loss_D_real: -0.007138 Loss_D_fake 0.012497
[1292/5000][470/535][133341] Loss_D: -0.018188 Loss_G: 0.008057 Loss_D_real: -0.028263 Loss_D_fake -0.010075
[1292/5000][475/535][133342] Loss_D: -0.018817 Loss_G: 0.019806 Loss_D_real: -0.028516 Loss_D_fake -0.009699
[1292/5000][480/535][133343] Loss_D: -0.018941 Loss_G: -0.002125 Loss_D_real: -0.010113 Loss_D_fake 0.008828
[1292/5000][485/535][133344] Loss_D: -0.017618 Loss_G: -0.018589 Loss_D_real: 0.005256 Loss_D_fake 0.022874
[1292/5000][490/535][133345] Loss_D: -0.019334 Loss_G: 0.011553 Loss_D_real: -0.021218 Loss_D_fake -0.001883
[1292/5000][495/535][133346] Loss_D: -0.019630 Loss_G: -0.007730 Loss_D_real: -0.016275 Loss_D_fake 0.003355
[1292/5000][500/535][133347] Loss_D: -0.020337 Loss_G: 0.005784 Loss_D_real: -0.014674 Loss_D_fake 0.005663
[1292/5000][505/535][133348] Loss_D: -0.018981 Loss_G: 0.006818 Loss_D_real: -0.016097 Loss_D_fake 0.002883
[1292/5000][510/535][133349] Loss_D: -0.019792 Loss_G: 0.014251 Loss_D_real: -0.019548 Loss_D_fake 0.000244
[1292/5000][515/535][133350] Loss_D: -0.018513 Loss_G: -0.000865 Loss_D_real: -0.010636 Loss_D_fake 0.007877
[1292/5000][520/535][133351] Loss_D: -0.019775 Loss_G: 0.010756 Loss_D_real: -0.016866 Loss_D_fake 0.002909
[1292/5000][525/535][133352] Loss_D: -0.021229 Loss_G: 0.008158 Loss_D_real: -0.029719 Loss_D_fake -0.008490
[1292/5000][530/535][133353] Loss_D: -0.022008 Loss_G: 0.015306 Loss_D_real: -0.019803 Loss_D_fake 0.002204
[1292/5000][535/535][133354] Loss_D: -0.020163 Loss_G: 0.008501 Loss_D_real: -0.015109 Loss_D_fake 0.005054
[1293/5000][5/535][133355] Loss_D: -0.019421 Loss_G: 0.014923 Loss_D_real: -0.022005 Loss_D_fake -0.002584
[1293/5000][10/535][133356] Loss_D: -0.020365 Loss_G: -0.006662 Loss_D_real: -0.022834 Loss_D_fake -0.002469
[1293/5000][15/535][133357] Loss_D: -0.019627 Loss_G: 0.002475 Loss_D_real: -0.023284 Loss_D_fake -0.003657
[1293/5000][20/535][133358] Loss_D: -0.019764 Loss_G: 0.018647 Loss_D_real: -0.014150 Loss_D_fake 0.005614
[1293/5000][25/535][133359] Loss_D: -0.020075 Loss_G: 0.011287 Loss_D_real: -0.026342 Loss_D_fake -0.006267
[1293/5000][30/535][133360] Loss_D: -0.019945 Loss_G: 0.013978 Loss_D_real: -0.026286 Loss_D_fake -0.006340
[1293/5000][35/535][133361] Loss_D: -0.019993 Loss_G: 0.004815 Loss_D_real: -0.016492 Loss_D_fake 0.003501
[1293/5000][40/535][133362] Loss_D: -0.019033 Loss_G: 0.017203 Loss_D_real: -0.021852 Loss_D_fake -0.002820
[1293/5000][45/535][133363] Loss_D: -0.019402 Loss_G: 0.021962 Loss_D_real: -0.029322 Loss_D_fake -0.009920
[1293/5000][50/535][133364] Loss_D: -0.019997 Loss_G: 0.016657 Loss_D_real: -0.021981 Loss_D_fake -0.001984
[1293/5000][55/535][133365] Loss_D: -0.020593 Loss_G: -0.007446 Loss_D_real: -0.010714 Loss_D_fake 0.009879
[1293/5000][60/535][133366] Loss_D: -0.021718 Loss_G: 0.014223 Loss_D_real: -0.006290 Loss_D_fake 0.015428
[1293/5000][65/535][133367] Loss_D: -0.019263 Loss_G: -0.016579 Loss_D_real: -0.005634 Loss_D_fake 0.013630
[1293/5000][70/535][133368] Loss_D: -0.021300 Loss_G: -0.001759 Loss_D_real: -0.009569 Loss_D_fake 0.011731
[1293/5000][75/535][133369] Loss_D: -0.018322 Loss_G: 0.005412 Loss_D_real: -0.009952 Loss_D_fake 0.008370
[1293/5000][80/535][133370] Loss_D: -0.019938 Loss_G: -0.001412 Loss_D_real: -0.013193 Loss_D_fake 0.006745
[1293/5000][85/535][133371] Loss_D: -0.020170 Loss_G: -0.000637 Loss_D_real: -0.004221 Loss_D_fake 0.015949
[1293/5000][90/535][133372] Loss_D: -0.019433 Loss_G: -0.003153 Loss_D_real: -0.012841 Loss_D_fake 0.006592
[1293/5000][95/535][133373] Loss_D: -0.019496 Loss_G: 0.000274 Loss_D_real: -0.012733 Loss_D_fake 0.006763
[1293/5000][100/535][133374] Loss_D: -0.018362 Loss_G: -0.005166 Loss_D_real: -0.008690 Loss_D_fake 0.009672
[1293/5000][105/535][133375] Loss_D: -0.020095 Loss_G: 0.008332 Loss_D_real: -0.014337 Loss_D_fake 0.005758
[1293/5000][110/535][133376] Loss_D: -0.020831 Loss_G: 0.010880 Loss_D_real: -0.009400 Loss_D_fake 0.011431
[1293/5000][115/535][133377] Loss_D: -0.019716 Loss_G: -0.009497 Loss_D_real: -0.006082 Loss_D_fake 0.013635
[1293/5000][120/535][133378] Loss_D: -0.019383 Loss_G: 0.014211 Loss_D_real: -0.010618 Loss_D_fake 0.008766
[1293/5000][125/535][133379] Loss_D: -0.020405 Loss_G: 0.002755 Loss_D_real: -0.016727 Loss_D_fake 0.003678
[1293/5000][130/535][133380] Loss_D: -0.019000 Loss_G: 0.010275 Loss_D_real: -0.023994 Loss_D_fake -0.004994
[1293/5000][135/535][133381] Loss_D: -0.017939 Loss_G: 0.026432 Loss_D_real: -0.030545 Loss_D_fake -0.012606
[1293/5000][140/535][133382] Loss_D: -0.019035 Loss_G: 0.012058 Loss_D_real: -0.029002 Loss_D_fake -0.009967
[1293/5000][145/535][133383] Loss_D: -0.019133 Loss_G: -0.014520 Loss_D_real: -0.001410 Loss_D_fake 0.017723
[1293/5000][150/535][133384] Loss_D: -0.020339 Loss_G: 0.011869 Loss_D_real: -0.012872 Loss_D_fake 0.007466
[1293/5000][155/535][133385] Loss_D: -0.019839 Loss_G: 0.001186 Loss_D_real: -0.002025 Loss_D_fake 0.017813
[1293/5000][160/535][133386] Loss_D: -0.021594 Loss_G: 0.022725 Loss_D_real: -0.020672 Loss_D_fake 0.000922
[1293/5000][165/535][133387] Loss_D: -0.020851 Loss_G: -0.009342 Loss_D_real: -0.014529 Loss_D_fake 0.006321
[1293/5000][170/535][133388] Loss_D: -0.019739 Loss_G: 0.020212 Loss_D_real: -0.032818 Loss_D_fake -0.013080
[1293/5000][175/535][133389] Loss_D: -0.019622 Loss_G: 0.004665 Loss_D_real: -0.016749 Loss_D_fake 0.002873
[1293/5000][180/535][133390] Loss_D: -0.021388 Loss_G: 0.004370 Loss_D_real: -0.029003 Loss_D_fake -0.007615
[1293/5000][185/535][133391] Loss_D: -0.021355 Loss_G: 0.005618 Loss_D_real: -0.009504 Loss_D_fake 0.011850
[1293/5000][190/535][133392] Loss_D: -0.019404 Loss_G: -0.000458 Loss_D_real: -0.004217 Loss_D_fake 0.015187
[1293/5000][195/535][133393] Loss_D: -0.019711 Loss_G: 0.018296 Loss_D_real: -0.026789 Loss_D_fake -0.007078
[1293/5000][200/535][133394] Loss_D: -0.018374 Loss_G: 0.006375 Loss_D_real: 0.004914 Loss_D_fake 0.023289
[1293/5000][205/535][133395] Loss_D: -0.020847 Loss_G: 0.010993 Loss_D_real: -0.018171 Loss_D_fake 0.002676
[1293/5000][210/535][133396] Loss_D: -0.019070 Loss_G: 0.010509 Loss_D_real: -0.019097 Loss_D_fake -0.000027
[1293/5000][215/535][133397] Loss_D: -0.020144 Loss_G: 0.013658 Loss_D_real: -0.032281 Loss_D_fake -0.012137
[1293/5000][220/535][133398] Loss_D: -0.019301 Loss_G: -0.016344 Loss_D_real: -0.011711 Loss_D_fake 0.007591
[1293/5000][225/535][133399] Loss_D: -0.020029 Loss_G: -0.003320 Loss_D_real: -0.002336 Loss_D_fake 0.017693
[1293/5000][230/535][133400] Loss_D: -0.018835 Loss_G: 0.014191 Loss_D_real: -0.022392 Loss_D_fake -0.003556
[1293/5000][235/535][133401] Loss_D: -0.020054 Loss_G: -0.001693 Loss_D_real: 0.004576 Loss_D_fake 0.024629
[1293/5000][240/535][133402] Loss_D: -0.019302 Loss_G: -0.017479 Loss_D_real: -0.006778 Loss_D_fake 0.012523
[1293/5000][245/535][133403] Loss_D: -0.020384 Loss_G: 0.020645 Loss_D_real: -0.022579 Loss_D_fake -0.002196
[1293/5000][250/535][133404] Loss_D: -0.020800 Loss_G: 0.010348 Loss_D_real: -0.019672 Loss_D_fake 0.001128
[1293/5000][255/535][133405] Loss_D: -0.019679 Loss_G: 0.014233 Loss_D_real: -0.016891 Loss_D_fake 0.002788
[1293/5000][260/535][133406] Loss_D: -0.020652 Loss_G: 0.021721 Loss_D_real: -0.018328 Loss_D_fake 0.002324
[1293/5000][265/535][133407] Loss_D: -0.020937 Loss_G: -0.008588 Loss_D_real: -0.013529 Loss_D_fake 0.007408
[1293/5000][270/535][133408] Loss_D: -0.018522 Loss_G: 0.010468 Loss_D_real: -0.033998 Loss_D_fake -0.015476
[1293/5000][275/535][133409] Loss_D: -0.020747 Loss_G: 0.003781 Loss_D_real: -0.012734 Loss_D_fake 0.008013
[1293/5000][280/535][133410] Loss_D: -0.020305 Loss_G: 0.014125 Loss_D_real: -0.021530 Loss_D_fake -0.001225
[1293/5000][285/535][133411] Loss_D: -0.019369 Loss_G: 0.018976 Loss_D_real: -0.024497 Loss_D_fake -0.005128
[1293/5000][290/535][133412] Loss_D: -0.020324 Loss_G: 0.010435 Loss_D_real: -0.014139 Loss_D_fake 0.006185
[1293/5000][295/535][133413] Loss_D: -0.018779 Loss_G: 0.017699 Loss_D_real: -0.038678 Loss_D_fake -0.019900
[1293/5000][300/535][133414] Loss_D: -0.019091 Loss_G: -0.018118 Loss_D_real: -0.007499 Loss_D_fake 0.011592
[1293/5000][305/535][133415] Loss_D: -0.019221 Loss_G: -0.007964 Loss_D_real: -0.011996 Loss_D_fake 0.007225
[1293/5000][310/535][133416] Loss_D: -0.020365 Loss_G: 0.009665 Loss_D_real: -0.017786 Loss_D_fake 0.002579
[1293/5000][315/535][133417] Loss_D: -0.018773 Loss_G: 0.019653 Loss_D_real: -0.033682 Loss_D_fake -0.014909
[1293/5000][320/535][133418] Loss_D: -0.020171 Loss_G: 0.023799 Loss_D_real: -0.021208 Loss_D_fake -0.001037
[1293/5000][325/535][133419] Loss_D: -0.019029 Loss_G: 0.008087 Loss_D_real: -0.022172 Loss_D_fake -0.003142
[1293/5000][330/535][133420] Loss_D: -0.020326 Loss_G: 0.005938 Loss_D_real: -0.010566 Loss_D_fake 0.009760
[1293/5000][335/535][133421] Loss_D: -0.020024 Loss_G: 0.012456 Loss_D_real: -0.023600 Loss_D_fake -0.003576
[1293/5000][340/535][133422] Loss_D: -0.018824 Loss_G: -0.003789 Loss_D_real: 0.002297 Loss_D_fake 0.021121
[1293/5000][345/535][133423] Loss_D: -0.019884 Loss_G: 0.000139 Loss_D_real: -0.008975 Loss_D_fake 0.010909
[1293/5000][350/535][133424] Loss_D: -0.018456 Loss_G: -0.001553 Loss_D_real: -0.007542 Loss_D_fake 0.010914
[1293/5000][355/535][133425] Loss_D: -0.020762 Loss_G: 0.009184 Loss_D_real: -0.016797 Loss_D_fake 0.003965
[1293/5000][360/535][133426] Loss_D: -0.019696 Loss_G: 0.004053 Loss_D_real: -0.013601 Loss_D_fake 0.006095
[1293/5000][365/535][133427] Loss_D: -0.021204 Loss_G: 0.012234 Loss_D_real: -0.006174 Loss_D_fake 0.015030
[1293/5000][370/535][133428] Loss_D: -0.019870 Loss_G: 0.006534 Loss_D_real: -0.031086 Loss_D_fake -0.011216
[1293/5000][375/535][133429] Loss_D: -0.020870 Loss_G: -0.011267 Loss_D_real: 0.001371 Loss_D_fake 0.022242
[1293/5000][380/535][133430] Loss_D: -0.020148 Loss_G: 0.018883 Loss_D_real: -0.021346 Loss_D_fake -0.001198
[1293/5000][385/535][133431] Loss_D: -0.019990 Loss_G: -0.000424 Loss_D_real: -0.012076 Loss_D_fake 0.007913
[1293/5000][390/535][133432] Loss_D: -0.017785 Loss_G: 0.014941 Loss_D_real: -0.035402 Loss_D_fake -0.017617
[1293/5000][395/535][133433] Loss_D: -0.020129 Loss_G: 0.007392 Loss_D_real: -0.005475 Loss_D_fake 0.014653
[1293/5000][400/535][133434] Loss_D: -0.019599 Loss_G: 0.008558 Loss_D_real: -0.021125 Loss_D_fake -0.001526
[1293/5000][405/535][133435] Loss_D: -0.020020 Loss_G: 0.016274 Loss_D_real: -0.024774 Loss_D_fake -0.004753
[1293/5000][410/535][133436] Loss_D: -0.021231 Loss_G: 0.009433 Loss_D_real: -0.015743 Loss_D_fake 0.005488
[1293/5000][415/535][133437] Loss_D: -0.017731 Loss_G: -0.011228 Loss_D_real: 0.015408 Loss_D_fake 0.033139
[1293/5000][420/535][133438] Loss_D: -0.019793 Loss_G: 0.015562 Loss_D_real: -0.023253 Loss_D_fake -0.003460
[1293/5000][425/535][133439] Loss_D: -0.019963 Loss_G: 0.019736 Loss_D_real: -0.021515 Loss_D_fake -0.001553
[1293/5000][430/535][133440] Loss_D: -0.021403 Loss_G: 0.004056 Loss_D_real: -0.025030 Loss_D_fake -0.003627
[1293/5000][435/535][133441] Loss_D: -0.021246 Loss_G: 0.022279 Loss_D_real: -0.019843 Loss_D_fake 0.001402
[1293/5000][440/535][133442] Loss_D: -0.020234 Loss_G: 0.004405 Loss_D_real: -0.017656 Loss_D_fake 0.002577
[1293/5000][445/535][133443] Loss_D: -0.020871 Loss_G: 0.008929 Loss_D_real: -0.012365 Loss_D_fake 0.008506
[1293/5000][450/535][133444] Loss_D: -0.021290 Loss_G: 0.002951 Loss_D_real: -0.014076 Loss_D_fake 0.007214
[1293/5000][455/535][133445] Loss_D: -0.019482 Loss_G: 0.004765 Loss_D_real: -0.023130 Loss_D_fake -0.003648
[1293/5000][460/535][133446] Loss_D: -0.019319 Loss_G: 0.017573 Loss_D_real: -0.026751 Loss_D_fake -0.007432
[1293/5000][465/535][133447] Loss_D: -0.018954 Loss_G: 0.015822 Loss_D_real: -0.019042 Loss_D_fake -0.000088
[1293/5000][470/535][133448] Loss_D: -0.019448 Loss_G: -0.009926 Loss_D_real: -0.010894 Loss_D_fake 0.008554
[1293/5000][475/535][133449] Loss_D: -0.019898 Loss_G: 0.000207 Loss_D_real: -0.013271 Loss_D_fake 0.006628
[1293/5000][480/535][133450] Loss_D: -0.020064 Loss_G: 0.015365 Loss_D_real: -0.013446 Loss_D_fake 0.006618
[1293/5000][485/535][133451] Loss_D: -0.019633 Loss_G: 0.014464 Loss_D_real: -0.022835 Loss_D_fake -0.003202
[1293/5000][490/535][133452] Loss_D: -0.020205 Loss_G: 0.008874 Loss_D_real: -0.021990 Loss_D_fake -0.001785
[1293/5000][495/535][133453] Loss_D: -0.019652 Loss_G: 0.003409 Loss_D_real: -0.011894 Loss_D_fake 0.007758
[1293/5000][500/535][133454] Loss_D: -0.018493 Loss_G: 0.001176 Loss_D_real: 0.000449 Loss_D_fake 0.018943
[1293/5000][505/535][133455] Loss_D: -0.019227 Loss_G: 0.019430 Loss_D_real: -0.023111 Loss_D_fake -0.003883
[1293/5000][510/535][133456] Loss_D: -0.018261 Loss_G: 0.028512 Loss_D_real: -0.028995 Loss_D_fake -0.010735
[1293/5000][515/535][133457] Loss_D: -0.020190 Loss_G: -0.009542 Loss_D_real: -0.010031 Loss_D_fake 0.010159
[1293/5000][520/535][133458] Loss_D: -0.019963 Loss_G: 0.000934 Loss_D_real: -0.017116 Loss_D_fake 0.002847
[1293/5000][525/535][133459] Loss_D: -0.018489 Loss_G: -0.007712 Loss_D_real: -0.000861 Loss_D_fake 0.017628
[1293/5000][530/535][133460] Loss_D: -0.019710 Loss_G: 0.020784 Loss_D_real: -0.027353 Loss_D_fake -0.007642
[1293/5000][535/535][133461] Loss_D: -0.020504 Loss_G: 0.022920 Loss_D_real: -0.012310 Loss_D_fake 0.008194
[1294/5000][5/535][133462] Loss_D: -0.020033 Loss_G: 0.009463 Loss_D_real: -0.012335 Loss_D_fake 0.007698
[1294/5000][10/535][133463] Loss_D: -0.019775 Loss_G: 0.012454 Loss_D_real: -0.023761 Loss_D_fake -0.003986
[1294/5000][15/535][133464] Loss_D: -0.021144 Loss_G: 0.009600 Loss_D_real: -0.013194 Loss_D_fake 0.007950
[1294/5000][20/535][133465] Loss_D: -0.020300 Loss_G: 0.008868 Loss_D_real: -0.023529 Loss_D_fake -0.003230
[1294/5000][25/535][133466] Loss_D: -0.019446 Loss_G: -0.004004 Loss_D_real: 0.002166 Loss_D_fake 0.021611
[1294/5000][30/535][133467] Loss_D: -0.019050 Loss_G: 0.004789 Loss_D_real: -0.013423 Loss_D_fake 0.005626
[1294/5000][35/535][133468] Loss_D: -0.020649 Loss_G: -0.001344 Loss_D_real: -0.009104 Loss_D_fake 0.011545
[1294/5000][40/535][133469] Loss_D: -0.020465 Loss_G: 0.007181 Loss_D_real: -0.001686 Loss_D_fake 0.018779
[1294/5000][45/535][133470] Loss_D: -0.019636 Loss_G: 0.020065 Loss_D_real: -0.016144 Loss_D_fake 0.003492
[1294/5000][50/535][133471] Loss_D: -0.020254 Loss_G: 0.012080 Loss_D_real: -0.018130 Loss_D_fake 0.002124
[1294/5000][55/535][133472] Loss_D: -0.021066 Loss_G: -0.000261 Loss_D_real: -0.011538 Loss_D_fake 0.009528
[1294/5000][60/535][133473] Loss_D: -0.020794 Loss_G: -0.003596 Loss_D_real: -0.019529 Loss_D_fake 0.001265
[1294/5000][65/535][133474] Loss_D: -0.022149 Loss_G: -0.004470 Loss_D_real: -0.007880 Loss_D_fake 0.014268
[1294/5000][70/535][133475] Loss_D: -0.020804 Loss_G: 0.008553 Loss_D_real: -0.007644 Loss_D_fake 0.013160
[1294/5000][75/535][133476] Loss_D: -0.018546 Loss_G: 0.022270 Loss_D_real: -0.024940 Loss_D_fake -0.006393
[1294/5000][80/535][133477] Loss_D: -0.020047 Loss_G: 0.014466 Loss_D_real: -0.015220 Loss_D_fake 0.004828
[1294/5000][85/535][133478] Loss_D: -0.019756 Loss_G: 0.022736 Loss_D_real: -0.030123 Loss_D_fake -0.010367
[1294/5000][90/535][133479] Loss_D: -0.020261 Loss_G: 0.008419 Loss_D_real: -0.024252 Loss_D_fake -0.003992
[1294/5000][95/535][133480] Loss_D: -0.017702 Loss_G: 0.026871 Loss_D_real: -0.030520 Loss_D_fake -0.012818
[1294/5000][100/535][133481] Loss_D: -0.021045 Loss_G: 0.013233 Loss_D_real: -0.019951 Loss_D_fake 0.001095
[1294/5000][105/535][133482] Loss_D: -0.019792 Loss_G: 0.003075 Loss_D_real: -0.000638 Loss_D_fake 0.019154
[1294/5000][110/535][133483] Loss_D: -0.019539 Loss_G: 0.004026 Loss_D_real: -0.008066 Loss_D_fake 0.011474
[1294/5000][115/535][133484] Loss_D: -0.018642 Loss_G: 0.017640 Loss_D_real: -0.030721 Loss_D_fake -0.012078
[1294/5000][120/535][133485] Loss_D: -0.020502 Loss_G: 0.001535 Loss_D_real: -0.012455 Loss_D_fake 0.008047
[1294/5000][125/535][133486] Loss_D: -0.019845 Loss_G: 0.000739 Loss_D_real: -0.012166 Loss_D_fake 0.007679
[1294/5000][130/535][133487] Loss_D: -0.018021 Loss_G: 0.020513 Loss_D_real: -0.015435 Loss_D_fake 0.002586
[1294/5000][135/535][133488] Loss_D: -0.020190 Loss_G: 0.015043 Loss_D_real: -0.026659 Loss_D_fake -0.006469
[1294/5000][140/535][133489] Loss_D: -0.020512 Loss_G: -0.004035 Loss_D_real: -0.006194 Loss_D_fake 0.014318
[1294/5000][145/535][133490] Loss_D: -0.019886 Loss_G: -0.001141 Loss_D_real: -0.008725 Loss_D_fake 0.011161
[1294/5000][150/535][133491] Loss_D: -0.019630 Loss_G: 0.001509 Loss_D_real: -0.007479 Loss_D_fake 0.012151
[1294/5000][155/535][133492] Loss_D: -0.019972 Loss_G: -0.012002 Loss_D_real: -0.010959 Loss_D_fake 0.009013
[1294/5000][160/535][133493] Loss_D: -0.019436 Loss_G: 0.014784 Loss_D_real: -0.024303 Loss_D_fake -0.004867
[1294/5000][165/535][133494] Loss_D: -0.020014 Loss_G: -0.003124 Loss_D_real: -0.003265 Loss_D_fake 0.016750
[1294/5000][170/535][133495] Loss_D: -0.019326 Loss_G: -0.004057 Loss_D_real: -0.011530 Loss_D_fake 0.007796
[1294/5000][175/535][133496] Loss_D: -0.019004 Loss_G: 0.011524 Loss_D_real: -0.019755 Loss_D_fake -0.000751
[1294/5000][180/535][133497] Loss_D: -0.018402 Loss_G: 0.021604 Loss_D_real: -0.032120 Loss_D_fake -0.013718
[1294/5000][185/535][133498] Loss_D: -0.019256 Loss_G: 0.002525 Loss_D_real: -0.013350 Loss_D_fake 0.005906
[1294/5000][190/535][133499] Loss_D: -0.019318 Loss_G: 0.017975 Loss_D_real: -0.030157 Loss_D_fake -0.010839
[1294/5000][195/535][133500] Loss_D: -0.020028 Loss_G: 0.005886 Loss_D_real: -0.020809 Loss_D_fake -0.000780
[1294/5000][295/535][133501] Loss_D: -0.024046 Loss_G: -0.006856 Loss_D_real: -0.005970 Loss_D_fake 0.018076
[1294/5000][300/535][133502] Loss_D: -0.019436 Loss_G: -0.003641 Loss_D_real: -0.006531 Loss_D_fake 0.012905
[1294/5000][305/535][133503] Loss_D: -0.020022 Loss_G: 0.012812 Loss_D_real: -0.013642 Loss_D_fake 0.006380
[1294/5000][310/535][133504] Loss_D: -0.018678 Loss_G: 0.004405 Loss_D_real: -0.008717 Loss_D_fake 0.009962
[1294/5000][315/535][133505] Loss_D: -0.018301 Loss_G: 0.001852 Loss_D_real: -0.028921 Loss_D_fake -0.010621
[1294/5000][320/535][133506] Loss_D: -0.018610 Loss_G: 0.005788 Loss_D_real: -0.018249 Loss_D_fake 0.000361
[1294/5000][325/535][133507] Loss_D: -0.018610 Loss_G: 0.015463 Loss_D_real: -0.034304 Loss_D_fake -0.015694
[1294/5000][330/535][133508] Loss_D: -0.017798 Loss_G: 0.015133 Loss_D_real: -0.033992 Loss_D_fake -0.016194
[1294/5000][335/535][133509] Loss_D: -0.017357 Loss_G: 0.014644 Loss_D_real: -0.020153 Loss_D_fake -0.002797
[1294/5000][340/535][133510] Loss_D: -0.018350 Loss_G: 0.012516 Loss_D_real: -0.028762 Loss_D_fake -0.010412
[1294/5000][345/535][133511] Loss_D: -0.020107 Loss_G: -0.000009 Loss_D_real: -0.004927 Loss_D_fake 0.015180
[1294/5000][350/535][133512] Loss_D: -0.019239 Loss_G: -0.000434 Loss_D_real: -0.017719 Loss_D_fake 0.001520
[1294/5000][355/535][133513] Loss_D: -0.018789 Loss_G: 0.003738 Loss_D_real: -0.011353 Loss_D_fake 0.007436
[1294/5000][360/535][133514] Loss_D: -0.019070 Loss_G: 0.004312 Loss_D_real: -0.013544 Loss_D_fake 0.005526
[1294/5000][365/535][133515] Loss_D: -0.020347 Loss_G: 0.011016 Loss_D_real: -0.027599 Loss_D_fake -0.007252
[1294/5000][370/535][133516] Loss_D: -0.018328 Loss_G: 0.010188 Loss_D_real: -0.029395 Loss_D_fake -0.011067
[1294/5000][375/535][133517] Loss_D: -0.019660 Loss_G: -0.007465 Loss_D_real: -0.004498 Loss_D_fake 0.015161
[1294/5000][380/535][133518] Loss_D: -0.019621 Loss_G: 0.011498 Loss_D_real: -0.024725 Loss_D_fake -0.005104
[1294/5000][385/535][133519] Loss_D: -0.018449 Loss_G: -0.006609 Loss_D_real: -0.005482 Loss_D_fake 0.012967
[1294/5000][390/535][133520] Loss_D: -0.020379 Loss_G: 0.017492 Loss_D_real: -0.024949 Loss_D_fake -0.004570
[1294/5000][395/535][133521] Loss_D: -0.018675 Loss_G: 0.007581 Loss_D_real: -0.021830 Loss_D_fake -0.003155
[1294/5000][400/535][133522] Loss_D: -0.017890 Loss_G: 0.024463 Loss_D_real: -0.023617 Loss_D_fake -0.005726
[1294/5000][405/535][133523] Loss_D: -0.019135 Loss_G: 0.005314 Loss_D_real: -0.012907 Loss_D_fake 0.006228
[1294/5000][410/535][133524] Loss_D: -0.019900 Loss_G: -0.013525 Loss_D_real: -0.008611 Loss_D_fake 0.011289
[1294/5000][415/535][133525] Loss_D: -0.021003 Loss_G: 0.009792 Loss_D_real: -0.012167 Loss_D_fake 0.008836
[1294/5000][420/535][133526] Loss_D: -0.019757 Loss_G: 0.017325 Loss_D_real: -0.018294 Loss_D_fake 0.001463
[1294/5000][425/535][133527] Loss_D: -0.019247 Loss_G: 0.004949 Loss_D_real: -0.020320 Loss_D_fake -0.001073
[1294/5000][430/535][133528] Loss_D: -0.019795 Loss_G: 0.013296 Loss_D_real: -0.004948 Loss_D_fake 0.014847
[1294/5000][435/535][133529] Loss_D: -0.016379 Loss_G: 0.029664 Loss_D_real: -0.024476 Loss_D_fake -0.008097
[1294/5000][440/535][133530] Loss_D: -0.019831 Loss_G: -0.001931 Loss_D_real: -0.024250 Loss_D_fake -0.004419
[1294/5000][445/535][133531] Loss_D: -0.019233 Loss_G: 0.024626 Loss_D_real: -0.031047 Loss_D_fake -0.011813
[1294/5000][450/535][133532] Loss_D: -0.020233 Loss_G: 0.016695 Loss_D_real: -0.035925 Loss_D_fake -0.015691
[1294/5000][455/535][133533] Loss_D: -0.020319 Loss_G: 0.022493 Loss_D_real: -0.025984 Loss_D_fake -0.005666
[1294/5000][460/535][133534] Loss_D: -0.020581 Loss_G: 0.002765 Loss_D_real: -0.019575 Loss_D_fake 0.001006
[1294/5000][465/535][133535] Loss_D: -0.020644 Loss_G: 0.000398 Loss_D_real: -0.004461 Loss_D_fake 0.016183
[1294/5000][470/535][133536] Loss_D: -0.019663 Loss_G: -0.005338 Loss_D_real: -0.005564 Loss_D_fake 0.014098
[1294/5000][475/535][133537] Loss_D: -0.020069 Loss_G: 0.009579 Loss_D_real: -0.019825 Loss_D_fake 0.000244
[1294/5000][480/535][133538] Loss_D: -0.021104 Loss_G: 0.011655 Loss_D_real: -0.020679 Loss_D_fake 0.000425
[1294/5000][485/535][133539] Loss_D: -0.019689 Loss_G: -0.011278 Loss_D_real: -0.006646 Loss_D_fake 0.013043
[1294/5000][490/535][133540] Loss_D: -0.020624 Loss_G: -0.000143 Loss_D_real: -0.011398 Loss_D_fake 0.009226
[1294/5000][495/535][133541] Loss_D: -0.020209 Loss_G: -0.003069 Loss_D_real: -0.025290 Loss_D_fake -0.005081
[1294/5000][500/535][133542] Loss_D: -0.018841 Loss_G: -0.015196 Loss_D_real: -0.000181 Loss_D_fake 0.018660
[1294/5000][505/535][133543] Loss_D: -0.019399 Loss_G: 0.025607 Loss_D_real: -0.025221 Loss_D_fake -0.005822
[1294/5000][510/535][133544] Loss_D: -0.020757 Loss_G: 0.020309 Loss_D_real: -0.023495 Loss_D_fake -0.002738
[1294/5000][515/535][133545] Loss_D: -0.019832 Loss_G: 0.012527 Loss_D_real: -0.020362 Loss_D_fake -0.000530
[1294/5000][520/535][133546] Loss_D: -0.020544 Loss_G: 0.004542 Loss_D_real: -0.020784 Loss_D_fake -0.000240
[1294/5000][525/535][133547] Loss_D: -0.019587 Loss_G: -0.001331 Loss_D_real: -0.024678 Loss_D_fake -0.005091
[1294/5000][530/535][133548] Loss_D: -0.020520 Loss_G: 0.009771 Loss_D_real: -0.006502 Loss_D_fake 0.014018
[1294/5000][535/535][133549] Loss_D: -0.019369 Loss_G: -0.006900 Loss_D_real: -0.018719 Loss_D_fake 0.000650
[1295/5000][5/535][133550] Loss_D: -0.019864 Loss_G: 0.004293 Loss_D_real: -0.011825 Loss_D_fake 0.008038
[1295/5000][10/535][133551] Loss_D: -0.020654 Loss_G: 0.008216 Loss_D_real: -0.019603 Loss_D_fake 0.001051
[1295/5000][15/535][133552] Loss_D: -0.019541 Loss_G: -0.022433 Loss_D_real: -0.004847 Loss_D_fake 0.014695
[1295/5000][20/535][133553] Loss_D: -0.019103 Loss_G: 0.016346 Loss_D_real: -0.020807 Loss_D_fake -0.001704
[1295/5000][25/535][133554] Loss_D: -0.020911 Loss_G: 0.006311 Loss_D_real: -0.007566 Loss_D_fake 0.013344
[1295/5000][30/535][133555] Loss_D: -0.019645 Loss_G: 0.002779 Loss_D_real: -0.016303 Loss_D_fake 0.003341
[1295/5000][35/535][133556] Loss_D: -0.020024 Loss_G: -0.003516 Loss_D_real: -0.002679 Loss_D_fake 0.017345
[1295/5000][40/535][133557] Loss_D: -0.019380 Loss_G: 0.006602 Loss_D_real: -0.023742 Loss_D_fake -0.004362
[1295/5000][45/535][133558] Loss_D: -0.019552 Loss_G: -0.015379 Loss_D_real: -0.010627 Loss_D_fake 0.008925
[1295/5000][50/535][133559] Loss_D: -0.020058 Loss_G: 0.003429 Loss_D_real: -0.010384 Loss_D_fake 0.009674
[1295/5000][55/535][133560] Loss_D: -0.019116 Loss_G: -0.016654 Loss_D_real: -0.002029 Loss_D_fake 0.017087
[1295/5000][60/535][133561] Loss_D: -0.019670 Loss_G: 0.019583 Loss_D_real: -0.026205 Loss_D_fake -0.006535
[1295/5000][65/535][133562] Loss_D: -0.018586 Loss_G: -0.018494 Loss_D_real: -0.001786 Loss_D_fake 0.016800
[1295/5000][70/535][133563] Loss_D: -0.020050 Loss_G: 0.031120 Loss_D_real: -0.029195 Loss_D_fake -0.009145
[1295/5000][75/535][133564] Loss_D: -0.019351 Loss_G: 0.018972 Loss_D_real: -0.013939 Loss_D_fake 0.005413
[1295/5000][80/535][133565] Loss_D: -0.020346 Loss_G: -0.001545 Loss_D_real: -0.000605 Loss_D_fake 0.019742
[1295/5000][85/535][133566] Loss_D: -0.021011 Loss_G: 0.011069 Loss_D_real: -0.019925 Loss_D_fake 0.001086
[1295/5000][90/535][133567] Loss_D: -0.018355 Loss_G: 0.003796 Loss_D_real: -0.002359 Loss_D_fake 0.015997
[1295/5000][95/535][133568] Loss_D: -0.020648 Loss_G: -0.003856 Loss_D_real: -0.014673 Loss_D_fake 0.005975
[1295/5000][100/535][133569] Loss_D: -0.019904 Loss_G: 0.003383 Loss_D_real: -0.005420 Loss_D_fake 0.014484
[1295/5000][105/535][133570] Loss_D: -0.018619 Loss_G: -0.016302 Loss_D_real: -0.008941 Loss_D_fake 0.009679
[1295/5000][110/535][133571] Loss_D: -0.019893 Loss_G: 0.028436 Loss_D_real: -0.023508 Loss_D_fake -0.003615
[1295/5000][115/535][133572] Loss_D: -0.020748 Loss_G: 0.017202 Loss_D_real: -0.022670 Loss_D_fake -0.001922
[1295/5000][120/535][133573] Loss_D: -0.019718 Loss_G: 0.006007 Loss_D_real: -0.009259 Loss_D_fake 0.010459
[1295/5000][125/535][133574] Loss_D: -0.019087 Loss_G: 0.010043 Loss_D_real: -0.018218 Loss_D_fake 0.000869
[1295/5000][130/535][133575] Loss_D: -0.020606 Loss_G: 0.018596 Loss_D_real: -0.035481 Loss_D_fake -0.014875
[1295/5000][135/535][133576] Loss_D: -0.020616 Loss_G: 0.006697 Loss_D_real: -0.020514 Loss_D_fake 0.000102
[1295/5000][140/535][133577] Loss_D: -0.020265 Loss_G: -0.023978 Loss_D_real: -0.004407 Loss_D_fake 0.015858
[1295/5000][145/535][133578] Loss_D: -0.020635 Loss_G: 0.008462 Loss_D_real: -0.014400 Loss_D_fake 0.006235
[1295/5000][150/535][133579] Loss_D: -0.019717 Loss_G: 0.019663 Loss_D_real: -0.025199 Loss_D_fake -0.005482
[1295/5000][155/535][133580] Loss_D: -0.021205 Loss_G: 0.001632 Loss_D_real: -0.018758 Loss_D_fake 0.002446
[1295/5000][160/535][133581] Loss_D: -0.019722 Loss_G: 0.005487 Loss_D_real: -0.019587 Loss_D_fake 0.000135
[1295/5000][165/535][133582] Loss_D: -0.020014 Loss_G: -0.006292 Loss_D_real: -0.022437 Loss_D_fake -0.002423
[1295/5000][170/535][133583] Loss_D: -0.019462 Loss_G: 0.011722 Loss_D_real: -0.024042 Loss_D_fake -0.004581
[1295/5000][175/535][133584] Loss_D: -0.020546 Loss_G: 0.021859 Loss_D_real: -0.013612 Loss_D_fake 0.006934
[1295/5000][180/535][133585] Loss_D: -0.018916 Loss_G: -0.003996 Loss_D_real: -0.010393 Loss_D_fake 0.008523
[1295/5000][185/535][133586] Loss_D: -0.019801 Loss_G: 0.008252 Loss_D_real: -0.025240 Loss_D_fake -0.005439
[1295/5000][190/535][133587] Loss_D: -0.019966 Loss_G: 0.006749 Loss_D_real: -0.009423 Loss_D_fake 0.010543
[1295/5000][195/535][133588] Loss_D: -0.018104 Loss_G: 0.004783 Loss_D_real: -0.021562 Loss_D_fake -0.003457
[1295/5000][200/535][133589] Loss_D: -0.019228 Loss_G: 0.000705 Loss_D_real: -0.009573 Loss_D_fake 0.009656
[1295/5000][205/535][133590] Loss_D: -0.019342 Loss_G: 0.023745 Loss_D_real: -0.024851 Loss_D_fake -0.005509
[1295/5000][210/535][133591] Loss_D: -0.018288 Loss_G: 0.023999 Loss_D_real: -0.033490 Loss_D_fake -0.015201
[1295/5000][215/535][133592] Loss_D: -0.020892 Loss_G: 0.013400 Loss_D_real: -0.027493 Loss_D_fake -0.006601
[1295/5000][220/535][133593] Loss_D: -0.020240 Loss_G: 0.014167 Loss_D_real: -0.036935 Loss_D_fake -0.016695
[1295/5000][225/535][133594] Loss_D: -0.019623 Loss_G: 0.000547 Loss_D_real: -0.015114 Loss_D_fake 0.004508
[1295/5000][230/535][133595] Loss_D: -0.020309 Loss_G: 0.003886 Loss_D_real: -0.018938 Loss_D_fake 0.001370
[1295/5000][235/535][133596] Loss_D: -0.020779 Loss_G: 0.001876 Loss_D_real: -0.006826 Loss_D_fake 0.013952
[1295/5000][240/535][133597] Loss_D: -0.019093 Loss_G: 0.010786 Loss_D_real: -0.013937 Loss_D_fake 0.005156
[1295/5000][245/535][133598] Loss_D: -0.018746 Loss_G: -0.017022 Loss_D_real: 0.002034 Loss_D_fake 0.020780
[1295/5000][250/535][133599] Loss_D: -0.020166 Loss_G: 0.020117 Loss_D_real: -0.014166 Loss_D_fake 0.006000
[1295/5000][255/535][133600] Loss_D: -0.019504 Loss_G: 0.018053 Loss_D_real: -0.014769 Loss_D_fake 0.004735
[1295/5000][260/535][133601] Loss_D: -0.019662 Loss_G: 0.022546 Loss_D_real: -0.021831 Loss_D_fake -0.002169
[1295/5000][265/535][133602] Loss_D: -0.020090 Loss_G: 0.018584 Loss_D_real: -0.014006 Loss_D_fake 0.006084
[1295/5000][270/535][133603] Loss_D: -0.020024 Loss_G: 0.004998 Loss_D_real: -0.019148 Loss_D_fake 0.000875
[1295/5000][275/535][133604] Loss_D: -0.020225 Loss_G: -0.012049 Loss_D_real: 0.000118 Loss_D_fake 0.020343
[1295/5000][280/535][133605] Loss_D: -0.017368 Loss_G: -0.019178 Loss_D_real: 0.003356 Loss_D_fake 0.020723
[1295/5000][285/535][133606] Loss_D: -0.019713 Loss_G: 0.008896 Loss_D_real: -0.031035 Loss_D_fake -0.011323
[1295/5000][290/535][133607] Loss_D: -0.019748 Loss_G: 0.008219 Loss_D_real: -0.006535 Loss_D_fake 0.013214
[1295/5000][295/535][133608] Loss_D: -0.018286 Loss_G: 0.012384 Loss_D_real: -0.019042 Loss_D_fake -0.000756
[1295/5000][300/535][133609] Loss_D: -0.019254 Loss_G: 0.009434 Loss_D_real: -0.015833 Loss_D_fake 0.003420
[1295/5000][305/535][133610] Loss_D: -0.019148 Loss_G: 0.004148 Loss_D_real: -0.010601 Loss_D_fake 0.008547
[1295/5000][310/535][133611] Loss_D: -0.019773 Loss_G: 0.015089 Loss_D_real: -0.019026 Loss_D_fake 0.000747
[1295/5000][315/535][133612] Loss_D: -0.020400 Loss_G: 0.005416 Loss_D_real: -0.014853 Loss_D_fake 0.005547
[1295/5000][320/535][133613] Loss_D: -0.019323 Loss_G: 0.013591 Loss_D_real: -0.026632 Loss_D_fake -0.007309
[1295/5000][325/535][133614] Loss_D: -0.019585 Loss_G: -0.007253 Loss_D_real: -0.001053 Loss_D_fake 0.018532
[1295/5000][330/535][133615] Loss_D: -0.019409 Loss_G: 0.018599 Loss_D_real: -0.005183 Loss_D_fake 0.014226
[1295/5000][335/535][133616] Loss_D: -0.018696 Loss_G: 0.023113 Loss_D_real: -0.023828 Loss_D_fake -0.005132
[1295/5000][340/535][133617] Loss_D: -0.021213 Loss_G: 0.004939 Loss_D_real: -0.012472 Loss_D_fake 0.008741
[1295/5000][345/535][133618] Loss_D: -0.020045 Loss_G: -0.012555 Loss_D_real: -0.007835 Loss_D_fake 0.012210
[1295/5000][350/535][133619] Loss_D: -0.019701 Loss_G: 0.005143 Loss_D_real: -0.009424 Loss_D_fake 0.010277
[1295/5000][355/535][133620] Loss_D: -0.020721 Loss_G: 0.006406 Loss_D_real: -0.001470 Loss_D_fake 0.019251
[1295/5000][360/535][133621] Loss_D: -0.020585 Loss_G: 0.017478 Loss_D_real: -0.016529 Loss_D_fake 0.004056
[1295/5000][365/535][133622] Loss_D: -0.019633 Loss_G: 0.010851 Loss_D_real: -0.012073 Loss_D_fake 0.007560
[1295/5000][370/535][133623] Loss_D: -0.019674 Loss_G: 0.012314 Loss_D_real: -0.017564 Loss_D_fake 0.002110
[1295/5000][375/535][133624] Loss_D: -0.020626 Loss_G: 0.012387 Loss_D_real: -0.023341 Loss_D_fake -0.002715
[1295/5000][380/535][133625] Loss_D: -0.018819 Loss_G: 0.012093 Loss_D_real: -0.024509 Loss_D_fake -0.005690
[1295/5000][385/535][133626] Loss_D: -0.019772 Loss_G: 0.012873 Loss_D_real: -0.022165 Loss_D_fake -0.002393
[1295/5000][390/535][133627] Loss_D: -0.020971 Loss_G: -0.004542 Loss_D_real: -0.007191 Loss_D_fake 0.013780
[1295/5000][395/535][133628] Loss_D: -0.021616 Loss_G: 0.013301 Loss_D_real: -0.020138 Loss_D_fake 0.001477
[1295/5000][400/535][133629] Loss_D: -0.019541 Loss_G: -0.005929 Loss_D_real: -0.013209 Loss_D_fake 0.006332
[1295/5000][405/535][133630] Loss_D: -0.020917 Loss_G: 0.016003 Loss_D_real: -0.036266 Loss_D_fake -0.015349
[1295/5000][410/535][133631] Loss_D: -0.020410 Loss_G: 0.010715 Loss_D_real: -0.011186 Loss_D_fake 0.009225
[1295/5000][415/535][133632] Loss_D: -0.019714 Loss_G: 0.012233 Loss_D_real: -0.015839 Loss_D_fake 0.003876
[1295/5000][420/535][133633] Loss_D: -0.020276 Loss_G: 0.010576 Loss_D_real: -0.016522 Loss_D_fake 0.003754
[1295/5000][425/535][133634] Loss_D: -0.020143 Loss_G: -0.008050 Loss_D_real: -0.001759 Loss_D_fake 0.018385
[1295/5000][430/535][133635] Loss_D: -0.020273 Loss_G: 0.016861 Loss_D_real: -0.015573 Loss_D_fake 0.004701
[1295/5000][435/535][133636] Loss_D: -0.020561 Loss_G: 0.003883 Loss_D_real: -0.004851 Loss_D_fake 0.015709
[1295/5000][440/535][133637] Loss_D: -0.019623 Loss_G: 0.009954 Loss_D_real: -0.014878 Loss_D_fake 0.004745
[1295/5000][445/535][133638] Loss_D: -0.020740 Loss_G: -0.007545 Loss_D_real: -0.012023 Loss_D_fake 0.008717
[1295/5000][450/535][133639] Loss_D: -0.020361 Loss_G: 0.019339 Loss_D_real: -0.015221 Loss_D_fake 0.005140
[1295/5000][455/535][133640] Loss_D: -0.018664 Loss_G: -0.016779 Loss_D_real: 0.001248 Loss_D_fake 0.019912
[1295/5000][460/535][133641] Loss_D: -0.019471 Loss_G: 0.013897 Loss_D_real: -0.027258 Loss_D_fake -0.007787
[1295/5000][465/535][133642] Loss_D: -0.020627 Loss_G: 0.008450 Loss_D_real: -0.022530 Loss_D_fake -0.001904
[1295/5000][470/535][133643] Loss_D: -0.020230 Loss_G: 0.014793 Loss_D_real: -0.019474 Loss_D_fake 0.000756
[1295/5000][475/535][133644] Loss_D: -0.020514 Loss_G: 0.017333 Loss_D_real: -0.018371 Loss_D_fake 0.002143
[1295/5000][480/535][133645] Loss_D: -0.018860 Loss_G: 0.018651 Loss_D_real: -0.036912 Loss_D_fake -0.018052
[1295/5000][485/535][133646] Loss_D: -0.019817 Loss_G: 0.006374 Loss_D_real: -0.018122 Loss_D_fake 0.001695
[1295/5000][490/535][133647] Loss_D: -0.020164 Loss_G: 0.021729 Loss_D_real: -0.025569 Loss_D_fake -0.005405
[1295/5000][495/535][133648] Loss_D: -0.019330 Loss_G: 0.005506 Loss_D_real: -0.021952 Loss_D_fake -0.002622
[1295/5000][500/535][133649] Loss_D: -0.020458 Loss_G: 0.005377 Loss_D_real: -0.012575 Loss_D_fake 0.007882
[1295/5000][505/535][133650] Loss_D: -0.022196 Loss_G: 0.006274 Loss_D_real: -0.020811 Loss_D_fake 0.001385
[1295/5000][510/535][133651] Loss_D: -0.019320 Loss_G: 0.003982 Loss_D_real: -0.021048 Loss_D_fake -0.001728
[1295/5000][515/535][133652] Loss_D: -0.018943 Loss_G: 0.015496 Loss_D_real: -0.033738 Loss_D_fake -0.014795
[1295/5000][520/535][133653] Loss_D: -0.019725 Loss_G: 0.004748 Loss_D_real: -0.021856 Loss_D_fake -0.002131
[1295/5000][525/535][133654] Loss_D: -0.019930 Loss_G: 0.002679 Loss_D_real: -0.018728 Loss_D_fake 0.001202
[1295/5000][530/535][133655] Loss_D: -0.019769 Loss_G: -0.010250 Loss_D_real: -0.008876 Loss_D_fake 0.010893
[1295/5000][535/535][133656] Loss_D: -0.019258 Loss_G: -0.017935 Loss_D_real: -0.014407 Loss_D_fake 0.004851
[1296/5000][5/535][133657] Loss_D: -0.020354 Loss_G: -0.013512 Loss_D_real: -0.006582 Loss_D_fake 0.013771
[1296/5000][10/535][133658] Loss_D: -0.020241 Loss_G: 0.004526 Loss_D_real: -0.004335 Loss_D_fake 0.015906
[1296/5000][15/535][133659] Loss_D: -0.018121 Loss_G: -0.009268 Loss_D_real: 0.010707 Loss_D_fake 0.028828
[1296/5000][20/535][133660] Loss_D: -0.019318 Loss_G: 0.002579 Loss_D_real: -0.006452 Loss_D_fake 0.012866
[1296/5000][25/535][133661] Loss_D: -0.021186 Loss_G: -0.001408 Loss_D_real: -0.005244 Loss_D_fake 0.015942
[1296/5000][30/535][133662] Loss_D: -0.020207 Loss_G: 0.013174 Loss_D_real: -0.020884 Loss_D_fake -0.000677
[1296/5000][35/535][133663] Loss_D: -0.020134 Loss_G: 0.020628 Loss_D_real: -0.027943 Loss_D_fake -0.007809
[1296/5000][40/535][133664] Loss_D: -0.019076 Loss_G: 0.011438 Loss_D_real: -0.024725 Loss_D_fake -0.005649
[1296/5000][45/535][133665] Loss_D: -0.018896 Loss_G: 0.017973 Loss_D_real: -0.022634 Loss_D_fake -0.003738
[1296/5000][50/535][133666] Loss_D: -0.020654 Loss_G: 0.003704 Loss_D_real: -0.017562 Loss_D_fake 0.003093
[1296/5000][55/535][133667] Loss_D: -0.020070 Loss_G: 0.004684 Loss_D_real: 0.003167 Loss_D_fake 0.023238
[1296/5000][60/535][133668] Loss_D: -0.019625 Loss_G: 0.020214 Loss_D_real: -0.034166 Loss_D_fake -0.014541
[1296/5000][65/535][133669] Loss_D: -0.019795 Loss_G: 0.009625 Loss_D_real: -0.028524 Loss_D_fake -0.008730
[1296/5000][70/535][133670] Loss_D: -0.018343 Loss_G: 0.026552 Loss_D_real: -0.028546 Loss_D_fake -0.010203
[1296/5000][75/535][133671] Loss_D: -0.020273 Loss_G: -0.001037 Loss_D_real: -0.018698 Loss_D_fake 0.001575
[1296/5000][80/535][133672] Loss_D: -0.020969 Loss_G: 0.008053 Loss_D_real: -0.012754 Loss_D_fake 0.008216
[1296/5000][85/535][133673] Loss_D: -0.019403 Loss_G: 0.008182 Loss_D_real: -0.016599 Loss_D_fake 0.002804
[1296/5000][90/535][133674] Loss_D: -0.020126 Loss_G: 0.012269 Loss_D_real: -0.023181 Loss_D_fake -0.003056
[1296/5000][95/535][133675] Loss_D: -0.019186 Loss_G: 0.016286 Loss_D_real: -0.030398 Loss_D_fake -0.011212
[1296/5000][100/535][133676] Loss_D: -0.020568 Loss_G: -0.006119 Loss_D_real: -0.002386 Loss_D_fake 0.018182
[1296/5000][105/535][133677] Loss_D: -0.020113 Loss_G: 0.009041 Loss_D_real: -0.015883 Loss_D_fake 0.004230
[1296/5000][110/535][133678] Loss_D: -0.020009 Loss_G: 0.008846 Loss_D_real: -0.021704 Loss_D_fake -0.001695
[1296/5000][115/535][133679] Loss_D: -0.021249 Loss_G: 0.015328 Loss_D_real: -0.013895 Loss_D_fake 0.007354
[1296/5000][120/535][133680] Loss_D: -0.020833 Loss_G: 0.005399 Loss_D_real: -0.024319 Loss_D_fake -0.003486
[1296/5000][125/535][133681] Loss_D: -0.020316 Loss_G: 0.009786 Loss_D_real: -0.021058 Loss_D_fake -0.000741
[1296/5000][130/535][133682] Loss_D: -0.019981 Loss_G: 0.007934 Loss_D_real: -0.019478 Loss_D_fake 0.000503
[1296/5000][135/535][133683] Loss_D: -0.019697 Loss_G: 0.011268 Loss_D_real: -0.019224 Loss_D_fake 0.000473
[1296/5000][140/535][133684] Loss_D: -0.018510 Loss_G: -0.019493 Loss_D_real: 0.003004 Loss_D_fake 0.021514
[1296/5000][145/535][133685] Loss_D: -0.020018 Loss_G: 0.009014 Loss_D_real: -0.016572 Loss_D_fake 0.003446
[1296/5000][150/535][133686] Loss_D: -0.020228 Loss_G: 0.018626 Loss_D_real: -0.024180 Loss_D_fake -0.003952
[1296/5000][155/535][133687] Loss_D: -0.019650 Loss_G: 0.021206 Loss_D_real: -0.032241 Loss_D_fake -0.012590
[1296/5000][160/535][133688] Loss_D: -0.019992 Loss_G: 0.000839 Loss_D_real: -0.013530 Loss_D_fake 0.006462
[1296/5000][165/535][133689] Loss_D: -0.020136 Loss_G: 0.015364 Loss_D_real: -0.026324 Loss_D_fake -0.006188
[1296/5000][170/535][133690] Loss_D: -0.021079 Loss_G: -0.000846 Loss_D_real: -0.023118 Loss_D_fake -0.002038
[1296/5000][175/535][133691] Loss_D: -0.019696 Loss_G: -0.005573 Loss_D_real: -0.008452 Loss_D_fake 0.011244
[1296/5000][180/535][133692] Loss_D: -0.019610 Loss_G: 0.006475 Loss_D_real: -0.013602 Loss_D_fake 0.006007
[1296/5000][185/535][133693] Loss_D: -0.019578 Loss_G: 0.011266 Loss_D_real: -0.020621 Loss_D_fake -0.001043
[1296/5000][190/535][133694] Loss_D: -0.019750 Loss_G: 0.010698 Loss_D_real: -0.006759 Loss_D_fake 0.012991
[1296/5000][195/535][133695] Loss_D: -0.019030 Loss_G: -0.004619 Loss_D_real: 0.005586 Loss_D_fake 0.024616
[1296/5000][200/535][133696] Loss_D: -0.019134 Loss_G: 0.018043 Loss_D_real: -0.034671 Loss_D_fake -0.015537
[1296/5000][205/535][133697] Loss_D: -0.019387 Loss_G: -0.001300 Loss_D_real: -0.010805 Loss_D_fake 0.008582
[1296/5000][210/535][133698] Loss_D: -0.017781 Loss_G: 0.016459 Loss_D_real: -0.027949 Loss_D_fake -0.010168
[1296/5000][215/535][133699] Loss_D: -0.019947 Loss_G: -0.009679 Loss_D_real: -0.008540 Loss_D_fake 0.011407
[1296/5000][220/535][133700] Loss_D: -0.018224 Loss_G: 0.026704 Loss_D_real: -0.022894 Loss_D_fake -0.004671
[1296/5000][225/535][133701] Loss_D: -0.021030 Loss_G: 0.008703 Loss_D_real: -0.029632 Loss_D_fake -0.008602
[1296/5000][230/535][133702] Loss_D: -0.019957 Loss_G: -0.002018 Loss_D_real: -0.010648 Loss_D_fake 0.009309
[1296/5000][235/535][133703] Loss_D: -0.019735 Loss_G: 0.016158 Loss_D_real: -0.020673 Loss_D_fake -0.000938
[1296/5000][240/535][133704] Loss_D: -0.019621 Loss_G: 0.006744 Loss_D_real: -0.021741 Loss_D_fake -0.002120
[1296/5000][245/535][133705] Loss_D: -0.020000 Loss_G: 0.006980 Loss_D_real: -0.013870 Loss_D_fake 0.006130
[1296/5000][250/535][133706] Loss_D: -0.019524 Loss_G: 0.016342 Loss_D_real: -0.023412 Loss_D_fake -0.003888
[1296/5000][255/535][133707] Loss_D: -0.020469 Loss_G: 0.001507 Loss_D_real: -0.026378 Loss_D_fake -0.005909
[1296/5000][260/535][133708] Loss_D: -0.020769 Loss_G: 0.002069 Loss_D_real: -0.003549 Loss_D_fake 0.017221
[1296/5000][265/535][133709] Loss_D: -0.019615 Loss_G: -0.010849 Loss_D_real: -0.002538 Loss_D_fake 0.017077
[1296/5000][270/535][133710] Loss_D: -0.018889 Loss_G: 0.003490 Loss_D_real: -0.010714 Loss_D_fake 0.008175
[1296/5000][275/535][133711] Loss_D: -0.019039 Loss_G: 0.010238 Loss_D_real: -0.016522 Loss_D_fake 0.002518
[1296/5000][280/535][133712] Loss_D: -0.020781 Loss_G: 0.009119 Loss_D_real: -0.019577 Loss_D_fake 0.001204
[1296/5000][285/535][133713] Loss_D: -0.019205 Loss_G: 0.002343 Loss_D_real: -0.016923 Loss_D_fake 0.002283
[1296/5000][290/535][133714] Loss_D: -0.019038 Loss_G: -0.004473 Loss_D_real: -0.010039 Loss_D_fake 0.008998
[1296/5000][295/535][133715] Loss_D: -0.020846 Loss_G: 0.012778 Loss_D_real: -0.026484 Loss_D_fake -0.005638
[1296/5000][300/535][133716] Loss_D: -0.019380 Loss_G: -0.005165 Loss_D_real: -0.012891 Loss_D_fake 0.006489
[1296/5000][305/535][133717] Loss_D: -0.020473 Loss_G: 0.020338 Loss_D_real: -0.010813 Loss_D_fake 0.009661
[1296/5000][310/535][133718] Loss_D: -0.020463 Loss_G: 0.010941 Loss_D_real: -0.019112 Loss_D_fake 0.001351
[1296/5000][315/535][133719] Loss_D: -0.019665 Loss_G: 0.001370 Loss_D_real: -0.024944 Loss_D_fake -0.005278
[1296/5000][320/535][133720] Loss_D: -0.021105 Loss_G: -0.000132 Loss_D_real: -0.014732 Loss_D_fake 0.006373
[1296/5000][325/535][133721] Loss_D: -0.019981 Loss_G: 0.026818 Loss_D_real: -0.026025 Loss_D_fake -0.006044
[1296/5000][330/535][133722] Loss_D: -0.019961 Loss_G: 0.020523 Loss_D_real: -0.025534 Loss_D_fake -0.005573
[1296/5000][335/535][133723] Loss_D: -0.018263 Loss_G: 0.012451 Loss_D_real: -0.029095 Loss_D_fake -0.010832
[1296/5000][340/535][133724] Loss_D: -0.019935 Loss_G: -0.005260 Loss_D_real: -0.017822 Loss_D_fake 0.002113
[1296/5000][345/535][133725] Loss_D: -0.019147 Loss_G: 0.010498 Loss_D_real: -0.024120 Loss_D_fake -0.004972
[1296/5000][350/535][133726] Loss_D: -0.019866 Loss_G: 0.009101 Loss_D_real: -0.036766 Loss_D_fake -0.016900
[1296/5000][355/535][133727] Loss_D: -0.021044 Loss_G: 0.013233 Loss_D_real: -0.001473 Loss_D_fake 0.019571
[1296/5000][360/535][133728] Loss_D: -0.019280 Loss_G: -0.003665 Loss_D_real: -0.010330 Loss_D_fake 0.008950
[1296/5000][365/535][133729] Loss_D: -0.019707 Loss_G: 0.019127 Loss_D_real: -0.025377 Loss_D_fake -0.005670
[1296/5000][370/535][133730] Loss_D: -0.020643 Loss_G: 0.019995 Loss_D_real: -0.018346 Loss_D_fake 0.002297
[1296/5000][375/535][133731] Loss_D: -0.020142 Loss_G: 0.008673 Loss_D_real: -0.016169 Loss_D_fake 0.003973
[1296/5000][380/535][133732] Loss_D: -0.019772 Loss_G: 0.006216 Loss_D_real: -0.015813 Loss_D_fake 0.003959
[1296/5000][385/535][133733] Loss_D: -0.019364 Loss_G: -0.000355 Loss_D_real: -0.006339 Loss_D_fake 0.013025
[1296/5000][390/535][133734] Loss_D: -0.018739 Loss_G: 0.003123 Loss_D_real: -0.017306 Loss_D_fake 0.001432
[1296/5000][395/535][133735] Loss_D: -0.019046 Loss_G: 0.018595 Loss_D_real: -0.029808 Loss_D_fake -0.010762
[1296/5000][400/535][133736] Loss_D: -0.019209 Loss_G: 0.009483 Loss_D_real: -0.017223 Loss_D_fake 0.001986
[1296/5000][405/535][133737] Loss_D: -0.019829 Loss_G: -0.009360 Loss_D_real: -0.010441 Loss_D_fake 0.009389
[1296/5000][410/535][133738] Loss_D: -0.017730 Loss_G: 0.025232 Loss_D_real: -0.033430 Loss_D_fake -0.015700
[1296/5000][415/535][133739] Loss_D: -0.019345 Loss_G: 0.002406 Loss_D_real: -0.006533 Loss_D_fake 0.012812
[1296/5000][420/535][133740] Loss_D: -0.020222 Loss_G: 0.007375 Loss_D_real: -0.022316 Loss_D_fake -0.002094
[1296/5000][425/535][133741] Loss_D: -0.018038 Loss_G: 0.031235 Loss_D_real: -0.029015 Loss_D_fake -0.010976
[1296/5000][430/535][133742] Loss_D: -0.021405 Loss_G: 0.007398 Loss_D_real: -0.016589 Loss_D_fake 0.004816
[1296/5000][435/535][133743] Loss_D: -0.019430 Loss_G: 0.006600 Loss_D_real: -0.017165 Loss_D_fake 0.002265
[1296/5000][440/535][133744] Loss_D: -0.020031 Loss_G: 0.001252 Loss_D_real: -0.016730 Loss_D_fake 0.003300
[1296/5000][445/535][133745] Loss_D: -0.018895 Loss_G: 0.011733 Loss_D_real: -0.016279 Loss_D_fake 0.002615
[1296/5000][450/535][133746] Loss_D: -0.018678 Loss_G: 0.017483 Loss_D_real: -0.022788 Loss_D_fake -0.004110
[1296/5000][455/535][133747] Loss_D: -0.020898 Loss_G: 0.007533 Loss_D_real: -0.019992 Loss_D_fake 0.000906
[1296/5000][460/535][133748] Loss_D: -0.020074 Loss_G: -0.002545 Loss_D_real: -0.011317 Loss_D_fake 0.008757
[1296/5000][465/535][133749] Loss_D: -0.020508 Loss_G: -0.002106 Loss_D_real: -0.021752 Loss_D_fake -0.001245
[1296/5000][470/535][133750] Loss_D: -0.018690 Loss_G: 0.019066 Loss_D_real: -0.024993 Loss_D_fake -0.006303
[1296/5000][475/535][133751] Loss_D: -0.021904 Loss_G: 0.000230 Loss_D_real: -0.005086 Loss_D_fake 0.016818
[1296/5000][480/535][133752] Loss_D: -0.019458 Loss_G: 0.009382 Loss_D_real: -0.020273 Loss_D_fake -0.000815
[1296/5000][485/535][133753] Loss_D: -0.020803 Loss_G: 0.010019 Loss_D_real: -0.026578 Loss_D_fake -0.005775
[1296/5000][490/535][133754] Loss_D: -0.019349 Loss_G: 0.011520 Loss_D_real: -0.021587 Loss_D_fake -0.002237
[1296/5000][495/535][133755] Loss_D: -0.021611 Loss_G: -0.000186 Loss_D_real: -0.014692 Loss_D_fake 0.006919
[1296/5000][500/535][133756] Loss_D: -0.020868 Loss_G: 0.001307 Loss_D_real: -0.010527 Loss_D_fake 0.010341
[1296/5000][505/535][133757] Loss_D: -0.020425 Loss_G: 0.019855 Loss_D_real: -0.012114 Loss_D_fake 0.008311
[1296/5000][510/535][133758] Loss_D: -0.020350 Loss_G: 0.013368 Loss_D_real: -0.018478 Loss_D_fake 0.001872
[1296/5000][515/535][133759] Loss_D: -0.019834 Loss_G: -0.003594 Loss_D_real: -0.022164 Loss_D_fake -0.002330
[1296/5000][520/535][133760] Loss_D: -0.017763 Loss_G: -0.009922 Loss_D_real: 0.001213 Loss_D_fake 0.018975
[1296/5000][525/535][133761] Loss_D: -0.018841 Loss_G: 0.022735 Loss_D_real: -0.018362 Loss_D_fake 0.000479
[1296/5000][530/535][133762] Loss_D: -0.020753 Loss_G: 0.007879 Loss_D_real: -0.023151 Loss_D_fake -0.002398
[1296/5000][535/535][133763] Loss_D: -0.015323 Loss_G: -0.028660 Loss_D_real: 0.006097 Loss_D_fake 0.021420
[1297/5000][5/535][133764] Loss_D: -0.019110 Loss_G: -0.011023 Loss_D_real: 0.003870 Loss_D_fake 0.022979
[1297/5000][10/535][133765] Loss_D: -0.019807 Loss_G: 0.011798 Loss_D_real: -0.014377 Loss_D_fake 0.005430
[1297/5000][15/535][133766] Loss_D: -0.019395 Loss_G: 0.013759 Loss_D_real: -0.029897 Loss_D_fake -0.010502
[1297/5000][20/535][133767] Loss_D: -0.019322 Loss_G: 0.007266 Loss_D_real: -0.028800 Loss_D_fake -0.009478
[1297/5000][25/535][133768] Loss_D: -0.019920 Loss_G: 0.020820 Loss_D_real: -0.026566 Loss_D_fake -0.006646
[1297/5000][30/535][133769] Loss_D: -0.019761 Loss_G: 0.005353 Loss_D_real: -0.021144 Loss_D_fake -0.001383
[1297/5000][35/535][133770] Loss_D: -0.020211 Loss_G: 0.006429 Loss_D_real: -0.004196 Loss_D_fake 0.016014
[1297/5000][40/535][133771] Loss_D: -0.020043 Loss_G: -0.000179 Loss_D_real: -0.018089 Loss_D_fake 0.001954
[1297/5000][45/535][133772] Loss_D: -0.020274 Loss_G: 0.006810 Loss_D_real: -0.015771 Loss_D_fake 0.004503
[1297/5000][50/535][133773] Loss_D: -0.021315 Loss_G: -0.003689 Loss_D_real: -0.002254 Loss_D_fake 0.019061
[1297/5000][55/535][133774] Loss_D: -0.019415 Loss_G: 0.010002 Loss_D_real: -0.019540 Loss_D_fake -0.000125
[1297/5000][60/535][133775] Loss_D: -0.019991 Loss_G: 0.030538 Loss_D_real: -0.026622 Loss_D_fake -0.006631
[1297/5000][65/535][133776] Loss_D: -0.019519 Loss_G: 0.015970 Loss_D_real: -0.025808 Loss_D_fake -0.006290
[1297/5000][70/535][133777] Loss_D: -0.020529 Loss_G: 0.001369 Loss_D_real: -0.000331 Loss_D_fake 0.020199
[1297/5000][75/535][133778] Loss_D: -0.019041 Loss_G: -0.004331 Loss_D_real: -0.008859 Loss_D_fake 0.010183
[1297/5000][80/535][133779] Loss_D: -0.020031 Loss_G: 0.013658 Loss_D_real: -0.021505 Loss_D_fake -0.001474
[1297/5000][85/535][133780] Loss_D: -0.020874 Loss_G: -0.003254 Loss_D_real: -0.008614 Loss_D_fake 0.012260
[1297/5000][90/535][133781] Loss_D: -0.019032 Loss_G: 0.008287 Loss_D_real: -0.022554 Loss_D_fake -0.003521
[1297/5000][95/535][133782] Loss_D: -0.018785 Loss_G: -0.004856 Loss_D_real: 0.006669 Loss_D_fake 0.025454
[1297/5000][100/535][133783] Loss_D: -0.019893 Loss_G: 0.002499 Loss_D_real: -0.011895 Loss_D_fake 0.007998
[1297/5000][105/535][133784] Loss_D: -0.020381 Loss_G: 0.011783 Loss_D_real: -0.014105 Loss_D_fake 0.006276
[1297/5000][110/535][133785] Loss_D: -0.019080 Loss_G: 0.029214 Loss_D_real: -0.024242 Loss_D_fake -0.005162
[1297/5000][115/535][133786] Loss_D: -0.019962 Loss_G: 0.010139 Loss_D_real: -0.008658 Loss_D_fake 0.011304
[1297/5000][120/535][133787] Loss_D: -0.019350 Loss_G: -0.001730 Loss_D_real: -0.011539 Loss_D_fake 0.007812
[1297/5000][125/535][133788] Loss_D: -0.020189 Loss_G: 0.018862 Loss_D_real: -0.026058 Loss_D_fake -0.005869
[1297/5000][130/535][133789] Loss_D: -0.021120 Loss_G: -0.003897 Loss_D_real: -0.018720 Loss_D_fake 0.002400
[1297/5000][135/535][133790] Loss_D: -0.020495 Loss_G: 0.003710 Loss_D_real: -0.015984 Loss_D_fake 0.004512
[1297/5000][140/535][133791] Loss_D: -0.019879 Loss_G: 0.000047 Loss_D_real: -0.000794 Loss_D_fake 0.019085
[1297/5000][145/535][133792] Loss_D: -0.020129 Loss_G: 0.012216 Loss_D_real: -0.024610 Loss_D_fake -0.004481
[1297/5000][150/535][133793] Loss_D: -0.020227 Loss_G: 0.006553 Loss_D_real: -0.014453 Loss_D_fake 0.005774
[1297/5000][155/535][133794] Loss_D: -0.018897 Loss_G: 0.011154 Loss_D_real: -0.018263 Loss_D_fake 0.000634
[1297/5000][160/535][133795] Loss_D: -0.018867 Loss_G: 0.008989 Loss_D_real: -0.017238 Loss_D_fake 0.001629
[1297/5000][165/535][133796] Loss_D: -0.019717 Loss_G: 0.004456 Loss_D_real: -0.030749 Loss_D_fake -0.011032
[1297/5000][170/535][133797] Loss_D: -0.019244 Loss_G: -0.007342 Loss_D_real: -0.006006 Loss_D_fake 0.013238
[1297/5000][175/535][133798] Loss_D: -0.019249 Loss_G: -0.011997 Loss_D_real: -0.007902 Loss_D_fake 0.011347
[1297/5000][180/535][133799] Loss_D: -0.018617 Loss_G: 0.011139 Loss_D_real: -0.031676 Loss_D_fake -0.013059
[1297/5000][185/535][133800] Loss_D: -0.018861 Loss_G: -0.006431 Loss_D_real: -0.012113 Loss_D_fake 0.006748
[1297/5000][190/535][133801] Loss_D: -0.018865 Loss_G: 0.013933 Loss_D_real: -0.031554 Loss_D_fake -0.012690
[1297/5000][195/535][133802] Loss_D: -0.020260 Loss_G: 0.019183 Loss_D_real: -0.018808 Loss_D_fake 0.001452
[1297/5000][200/535][133803] Loss_D: -0.020622 Loss_G: -0.003970 Loss_D_real: -0.006053 Loss_D_fake 0.014569
[1297/5000][205/535][133804] Loss_D: -0.018644 Loss_G: -0.010398 Loss_D_real: -0.014449 Loss_D_fake 0.004195
[1297/5000][210/535][133805] Loss_D: -0.019283 Loss_G: -0.006696 Loss_D_real: -0.022051 Loss_D_fake -0.002768
[1297/5000][215/535][133806] Loss_D: -0.020623 Loss_G: -0.000491 Loss_D_real: -0.003043 Loss_D_fake 0.017580
[1297/5000][220/535][133807] Loss_D: -0.018967 Loss_G: -0.003286 Loss_D_real: -0.007470 Loss_D_fake 0.011497
[1297/5000][225/535][133808] Loss_D: -0.020015 Loss_G: 0.003676 Loss_D_real: -0.008788 Loss_D_fake 0.011227
[1297/5000][230/535][133809] Loss_D: -0.019913 Loss_G: 0.017185 Loss_D_real: -0.024189 Loss_D_fake -0.004276
[1297/5000][235/535][133810] Loss_D: -0.019616 Loss_G: -0.001384 Loss_D_real: 0.004921 Loss_D_fake 0.024537
[1297/5000][240/535][133811] Loss_D: -0.020033 Loss_G: -0.008296 Loss_D_real: -0.004850 Loss_D_fake 0.015182
[1297/5000][245/535][133812] Loss_D: -0.020133 Loss_G: 0.002589 Loss_D_real: -0.018373 Loss_D_fake 0.001760
[1297/5000][250/535][133813] Loss_D: -0.019659 Loss_G: 0.019862 Loss_D_real: -0.017902 Loss_D_fake 0.001757
[1297/5000][255/535][133814] Loss_D: -0.019213 Loss_G: 0.000699 Loss_D_real: -0.003253 Loss_D_fake 0.015959
[1297/5000][260/535][133815] Loss_D: -0.020032 Loss_G: 0.000139 Loss_D_real: -0.013095 Loss_D_fake 0.006937
[1297/5000][265/535][133816] Loss_D: -0.018743 Loss_G: 0.022303 Loss_D_real: -0.029182 Loss_D_fake -0.010439
[1297/5000][270/535][133817] Loss_D: -0.020773 Loss_G: -0.001604 Loss_D_real: -0.025658 Loss_D_fake -0.004885
[1297/5000][275/535][133818] Loss_D: -0.019504 Loss_G: 0.008498 Loss_D_real: -0.023884 Loss_D_fake -0.004380
[1297/5000][280/535][133819] Loss_D: -0.020852 Loss_G: 0.016656 Loss_D_real: -0.026080 Loss_D_fake -0.005229
[1297/5000][285/535][133820] Loss_D: -0.019252 Loss_G: -0.017408 Loss_D_real: 0.005645 Loss_D_fake 0.024897
[1297/5000][290/535][133821] Loss_D: -0.019656 Loss_G: 0.020410 Loss_D_real: -0.026691 Loss_D_fake -0.007035
[1297/5000][295/535][133822] Loss_D: -0.020669 Loss_G: 0.001914 Loss_D_real: -0.018661 Loss_D_fake 0.002008
[1297/5000][300/535][133823] Loss_D: -0.018159 Loss_G: 0.018806 Loss_D_real: -0.031012 Loss_D_fake -0.012853
[1297/5000][305/535][133824] Loss_D: -0.019947 Loss_G: 0.013821 Loss_D_real: -0.032096 Loss_D_fake -0.012149
[1297/5000][310/535][133825] Loss_D: -0.019605 Loss_G: 0.000063 Loss_D_real: -0.016720 Loss_D_fake 0.002885
[1297/5000][315/535][133826] Loss_D: -0.020079 Loss_G: 0.004659 Loss_D_real: -0.013553 Loss_D_fake 0.006526
[1297/5000][320/535][133827] Loss_D: -0.018010 Loss_G: 0.003225 Loss_D_real: -0.015401 Loss_D_fake 0.002609
[1297/5000][325/535][133828] Loss_D: -0.019557 Loss_G: 0.003388 Loss_D_real: -0.003248 Loss_D_fake 0.016308
[1297/5000][330/535][133829] Loss_D: -0.019257 Loss_G: 0.015755 Loss_D_real: -0.015921 Loss_D_fake 0.003336
[1297/5000][335/535][133830] Loss_D: -0.020577 Loss_G: 0.002257 Loss_D_real: -0.010240 Loss_D_fake 0.010338
[1297/5000][340/535][133831] Loss_D: -0.018344 Loss_G: -0.008600 Loss_D_real: 0.007453 Loss_D_fake 0.025796
[1297/5000][345/535][133832] Loss_D: -0.019121 Loss_G: -0.005872 Loss_D_real: -0.001479 Loss_D_fake 0.017641
[1297/5000][350/535][133833] Loss_D: -0.019932 Loss_G: 0.005091 Loss_D_real: -0.025137 Loss_D_fake -0.005206
[1297/5000][355/535][133834] Loss_D: -0.020164 Loss_G: 0.014114 Loss_D_real: -0.007374 Loss_D_fake 0.012789
[1297/5000][360/535][133835] Loss_D: -0.019612 Loss_G: 0.012526 Loss_D_real: -0.020111 Loss_D_fake -0.000499
[1297/5000][365/535][133836] Loss_D: -0.019488 Loss_G: -0.011272 Loss_D_real: -0.006858 Loss_D_fake 0.012630
[1297/5000][370/535][133837] Loss_D: -0.019715 Loss_G: 0.016881 Loss_D_real: -0.023143 Loss_D_fake -0.003428
[1297/5000][375/535][133838] Loss_D: -0.020990 Loss_G: 0.003407 Loss_D_real: -0.011653 Loss_D_fake 0.009337
[1297/5000][380/535][133839] Loss_D: -0.019979 Loss_G: -0.000168 Loss_D_real: -0.019029 Loss_D_fake 0.000950
[1297/5000][385/535][133840] Loss_D: -0.020619 Loss_G: 0.013780 Loss_D_real: -0.019178 Loss_D_fake 0.001441
[1297/5000][390/535][133841] Loss_D: -0.021101 Loss_G: -0.003845 Loss_D_real: -0.020455 Loss_D_fake 0.000646
[1297/5000][395/535][133842] Loss_D: -0.020111 Loss_G: 0.025517 Loss_D_real: -0.022437 Loss_D_fake -0.002326
[1297/5000][400/535][133843] Loss_D: -0.020054 Loss_G: -0.013750 Loss_D_real: 0.004618 Loss_D_fake 0.024672
[1297/5000][405/535][133844] Loss_D: -0.019404 Loss_G: 0.010623 Loss_D_real: -0.024979 Loss_D_fake -0.005575
[1297/5000][410/535][133845] Loss_D: -0.020366 Loss_G: 0.012051 Loss_D_real: -0.015492 Loss_D_fake 0.004874
[1297/5000][415/535][133846] Loss_D: -0.019322 Loss_G: -0.009120 Loss_D_real: -0.004468 Loss_D_fake 0.014854
[1297/5000][420/535][133847] Loss_D: -0.019828 Loss_G: -0.003982 Loss_D_real: -0.008743 Loss_D_fake 0.011085
[1297/5000][425/535][133848] Loss_D: -0.019672 Loss_G: 0.005668 Loss_D_real: -0.018625 Loss_D_fake 0.001047
[1297/5000][430/535][133849] Loss_D: -0.020365 Loss_G: 0.026188 Loss_D_real: -0.013078 Loss_D_fake 0.007287
[1297/5000][435/535][133850] Loss_D: -0.018473 Loss_G: 0.022345 Loss_D_real: -0.036237 Loss_D_fake -0.017763
[1297/5000][440/535][133851] Loss_D: -0.021204 Loss_G: 0.015065 Loss_D_real: -0.021350 Loss_D_fake -0.000146
[1297/5000][445/535][133852] Loss_D: -0.019897 Loss_G: 0.007343 Loss_D_real: -0.010107 Loss_D_fake 0.009790
[1297/5000][450/535][133853] Loss_D: -0.019637 Loss_G: 0.002820 Loss_D_real: -0.024300 Loss_D_fake -0.004663
[1297/5000][455/535][133854] Loss_D: -0.020157 Loss_G: 0.000329 Loss_D_real: -0.010433 Loss_D_fake 0.009723
[1297/5000][460/535][133855] Loss_D: -0.019650 Loss_G: 0.004484 Loss_D_real: -0.019325 Loss_D_fake 0.000326
[1297/5000][465/535][133856] Loss_D: -0.018370 Loss_G: 0.006662 Loss_D_real: -0.007968 Loss_D_fake 0.010403
[1297/5000][470/535][133857] Loss_D: -0.019799 Loss_G: 0.007298 Loss_D_real: -0.024398 Loss_D_fake -0.004599
[1297/5000][475/535][133858] Loss_D: -0.019691 Loss_G: 0.009329 Loss_D_real: -0.023177 Loss_D_fake -0.003486
[1297/5000][480/535][133859] Loss_D: -0.019407 Loss_G: 0.004527 Loss_D_real: -0.004191 Loss_D_fake 0.015216
[1297/5000][485/535][133860] Loss_D: -0.020677 Loss_G: 0.009512 Loss_D_real: -0.006452 Loss_D_fake 0.014225
[1297/5000][490/535][133861] Loss_D: -0.019328 Loss_G: 0.001071 Loss_D_real: -0.012861 Loss_D_fake 0.006468
[1297/5000][495/535][133862] Loss_D: -0.020387 Loss_G: 0.005593 Loss_D_real: -0.005836 Loss_D_fake 0.014551
[1297/5000][500/535][133863] Loss_D: -0.019840 Loss_G: 0.000294 Loss_D_real: -0.011884 Loss_D_fake 0.007957
[1297/5000][505/535][133864] Loss_D: -0.019506 Loss_G: 0.005538 Loss_D_real: -0.005321 Loss_D_fake 0.014185
[1297/5000][510/535][133865] Loss_D: -0.019717 Loss_G: 0.006538 Loss_D_real: -0.018811 Loss_D_fake 0.000906
[1297/5000][515/535][133866] Loss_D: -0.020296 Loss_G: -0.006635 Loss_D_real: -0.011936 Loss_D_fake 0.008360
[1297/5000][520/535][133867] Loss_D: -0.019256 Loss_G: 0.013911 Loss_D_real: -0.025813 Loss_D_fake -0.006557
[1297/5000][525/535][133868] Loss_D: -0.019326 Loss_G: -0.001753 Loss_D_real: -0.014103 Loss_D_fake 0.005223
[1297/5000][530/535][133869] Loss_D: -0.019006 Loss_G: 0.002037 Loss_D_real: -0.024420 Loss_D_fake -0.005414
[1297/5000][535/535][133870] Loss_D: -0.019778 Loss_G: -0.000043 Loss_D_real: -0.025125 Loss_D_fake -0.005347
[1298/5000][5/535][133871] Loss_D: -0.020988 Loss_G: 0.001248 Loss_D_real: -0.018678 Loss_D_fake 0.002310
[1298/5000][10/535][133872] Loss_D: -0.018866 Loss_G: 0.015156 Loss_D_real: -0.022519 Loss_D_fake -0.003653
[1298/5000][15/535][133873] Loss_D: -0.020150 Loss_G: 0.011004 Loss_D_real: -0.010853 Loss_D_fake 0.009297
[1298/5000][20/535][133874] Loss_D: -0.019164 Loss_G: -0.000774 Loss_D_real: -0.015247 Loss_D_fake 0.003916
[1298/5000][25/535][133875] Loss_D: -0.020218 Loss_G: -0.008828 Loss_D_real: -0.019931 Loss_D_fake 0.000286
[1298/5000][30/535][133876] Loss_D: -0.020741 Loss_G: 0.022612 Loss_D_real: -0.016495 Loss_D_fake 0.004246
[1298/5000][35/535][133877] Loss_D: -0.020080 Loss_G: -0.000375 Loss_D_real: -0.012113 Loss_D_fake 0.007967
[1298/5000][40/535][133878] Loss_D: -0.018816 Loss_G: 0.014263 Loss_D_real: -0.031966 Loss_D_fake -0.013149
[1298/5000][45/535][133879] Loss_D: -0.020469 Loss_G: 0.000380 Loss_D_real: -0.013593 Loss_D_fake 0.006876
[1298/5000][50/535][133880] Loss_D: -0.019990 Loss_G: -0.004827 Loss_D_real: -0.002174 Loss_D_fake 0.017816
[1298/5000][55/535][133881] Loss_D: -0.017990 Loss_G: -0.018943 Loss_D_real: -0.002128 Loss_D_fake 0.015863
[1298/5000][60/535][133882] Loss_D: -0.018943 Loss_G: -0.004469 Loss_D_real: -0.019716 Loss_D_fake -0.000773
[1298/5000][65/535][133883] Loss_D: -0.021138 Loss_G: 0.018004 Loss_D_real: -0.028002 Loss_D_fake -0.006864
[1298/5000][70/535][133884] Loss_D: -0.020273 Loss_G: 0.020126 Loss_D_real: -0.025714 Loss_D_fake -0.005441
[1298/5000][75/535][133885] Loss_D: -0.019355 Loss_G: -0.007492 Loss_D_real: -0.017923 Loss_D_fake 0.001431
[1298/5000][80/535][133886] Loss_D: -0.019904 Loss_G: 0.018870 Loss_D_real: -0.026457 Loss_D_fake -0.006553
[1298/5000][85/535][133887] Loss_D: -0.019904 Loss_G: 0.008190 Loss_D_real: -0.025727 Loss_D_fake -0.005823
[1298/5000][90/535][133888] Loss_D: -0.020383 Loss_G: 0.002271 Loss_D_real: -0.030170 Loss_D_fake -0.009788
[1298/5000][95/535][133889] Loss_D: -0.021219 Loss_G: 0.018394 Loss_D_real: -0.024502 Loss_D_fake -0.003284
[1298/5000][100/535][133890] Loss_D: -0.019903 Loss_G: -0.015011 Loss_D_real: -0.010573 Loss_D_fake 0.009329
[1298/5000][105/535][133891] Loss_D: -0.019688 Loss_G: 0.016710 Loss_D_real: -0.024574 Loss_D_fake -0.004886
[1298/5000][110/535][133892] Loss_D: -0.017330 Loss_G: 0.025811 Loss_D_real: -0.035542 Loss_D_fake -0.018213
[1298/5000][115/535][133893] Loss_D: -0.019818 Loss_G: 0.009596 Loss_D_real: -0.017759 Loss_D_fake 0.002060
[1298/5000][120/535][133894] Loss_D: -0.020127 Loss_G: 0.006290 Loss_D_real: -0.020328 Loss_D_fake -0.000202
[1298/5000][125/535][133895] Loss_D: -0.020736 Loss_G: 0.000456 Loss_D_real: -0.014811 Loss_D_fake 0.005925
[1298/5000][130/535][133896] Loss_D: -0.019657 Loss_G: -0.005509 Loss_D_real: -0.006715 Loss_D_fake 0.012942
[1298/5000][135/535][133897] Loss_D: -0.019703 Loss_G: -0.000599 Loss_D_real: -0.011737 Loss_D_fake 0.007966
[1298/5000][140/535][133898] Loss_D: -0.020177 Loss_G: 0.018221 Loss_D_real: -0.022706 Loss_D_fake -0.002530
[1298/5000][145/535][133899] Loss_D: -0.021517 Loss_G: 0.021427 Loss_D_real: -0.024343 Loss_D_fake -0.002826
[1298/5000][150/535][133900] Loss_D: -0.021111 Loss_G: 0.004968 Loss_D_real: -0.007064 Loss_D_fake 0.014047
[1298/5000][155/535][133901] Loss_D: -0.019203 Loss_G: 0.031953 Loss_D_real: -0.034919 Loss_D_fake -0.015716
[1298/5000][160/535][133902] Loss_D: -0.019117 Loss_G: 0.014111 Loss_D_real: -0.014856 Loss_D_fake 0.004261
[1298/5000][165/535][133903] Loss_D: -0.020077 Loss_G: 0.002733 Loss_D_real: -0.028661 Loss_D_fake -0.008584
[1298/5000][170/535][133904] Loss_D: -0.020614 Loss_G: 0.011636 Loss_D_real: -0.028067 Loss_D_fake -0.007453
[1298/5000][175/535][133905] Loss_D: -0.021985 Loss_G: 0.011353 Loss_D_real: -0.016741 Loss_D_fake 0.005244
[1298/5000][180/535][133906] Loss_D: -0.020873 Loss_G: -0.001908 Loss_D_real: -0.007753 Loss_D_fake 0.013119
[1298/5000][185/535][133907] Loss_D: -0.019421 Loss_G: 0.000856 Loss_D_real: -0.010636 Loss_D_fake 0.008785
[1298/5000][190/535][133908] Loss_D: -0.019364 Loss_G: -0.014518 Loss_D_real: 0.011142 Loss_D_fake 0.030506
[1298/5000][195/535][133909] Loss_D: -0.019346 Loss_G: 0.007166 Loss_D_real: -0.015247 Loss_D_fake 0.004098
[1298/5000][200/535][133910] Loss_D: -0.020001 Loss_G: 0.009513 Loss_D_real: -0.010724 Loss_D_fake 0.009277
[1298/5000][205/535][133911] Loss_D: -0.018904 Loss_G: 0.017720 Loss_D_real: -0.020021 Loss_D_fake -0.001117
[1298/5000][210/535][133912] Loss_D: -0.020186 Loss_G: 0.005422 Loss_D_real: -0.026016 Loss_D_fake -0.005830
[1298/5000][215/535][133913] Loss_D: -0.019183 Loss_G: 0.014251 Loss_D_real: -0.025242 Loss_D_fake -0.006059
[1298/5000][220/535][133914] Loss_D: -0.018695 Loss_G: 0.010266 Loss_D_real: -0.017795 Loss_D_fake 0.000901
[1298/5000][225/535][133915] Loss_D: -0.019514 Loss_G: 0.002871 Loss_D_real: -0.016213 Loss_D_fake 0.003301
[1298/5000][230/535][133916] Loss_D: -0.020619 Loss_G: -0.012127 Loss_D_real: -0.011449 Loss_D_fake 0.009170
[1298/5000][235/535][133917] Loss_D: -0.019164 Loss_G: 0.015999 Loss_D_real: -0.020016 Loss_D_fake -0.000852
[1298/5000][240/535][133918] Loss_D: -0.018836 Loss_G: -0.010429 Loss_D_real: -0.002547 Loss_D_fake 0.016289
[1298/5000][245/535][133919] Loss_D: -0.019547 Loss_G: 0.016644 Loss_D_real: -0.018551 Loss_D_fake 0.000995
[1298/5000][250/535][133920] Loss_D: -0.018215 Loss_G: 0.004995 Loss_D_real: -0.021165 Loss_D_fake -0.002949
[1298/5000][255/535][133921] Loss_D: -0.020623 Loss_G: -0.000014 Loss_D_real: -0.004320 Loss_D_fake 0.016303
[1298/5000][260/535][133922] Loss_D: -0.021195 Loss_G: 0.015972 Loss_D_real: -0.006019 Loss_D_fake 0.015176
[1298/5000][265/535][133923] Loss_D: -0.017902 Loss_G: 0.015363 Loss_D_real: -0.026779 Loss_D_fake -0.008877
[1298/5000][270/535][133924] Loss_D: -0.018958 Loss_G: 0.010601 Loss_D_real: -0.018899 Loss_D_fake 0.000059
[1298/5000][275/535][133925] Loss_D: -0.020035 Loss_G: 0.019359 Loss_D_real: -0.023169 Loss_D_fake -0.003134
[1298/5000][280/535][133926] Loss_D: -0.019313 Loss_G: 0.018588 Loss_D_real: -0.023944 Loss_D_fake -0.004630
[1298/5000][285/535][133927] Loss_D: -0.019160 Loss_G: -0.007177 Loss_D_real: -0.013474 Loss_D_fake 0.005686
[1298/5000][290/535][133928] Loss_D: -0.020689 Loss_G: -0.012146 Loss_D_real: -0.010417 Loss_D_fake 0.010272
[1298/5000][295/535][133929] Loss_D: -0.020959 Loss_G: -0.003695 Loss_D_real: -0.007551 Loss_D_fake 0.013408
[1298/5000][300/535][133930] Loss_D: -0.018342 Loss_G: -0.004911 Loss_D_real: -0.003751 Loss_D_fake 0.014590
[1298/5000][305/535][133931] Loss_D: -0.019589 Loss_G: 0.011703 Loss_D_real: -0.015928 Loss_D_fake 0.003661
[1298/5000][310/535][133932] Loss_D: -0.017949 Loss_G: 0.024068 Loss_D_real: -0.027232 Loss_D_fake -0.009283
[1298/5000][315/535][133933] Loss_D: -0.018643 Loss_G: 0.025753 Loss_D_real: -0.034144 Loss_D_fake -0.015501
[1298/5000][320/535][133934] Loss_D: -0.020834 Loss_G: 0.008697 Loss_D_real: -0.024370 Loss_D_fake -0.003535
[1298/5000][325/535][133935] Loss_D: -0.019631 Loss_G: 0.024232 Loss_D_real: -0.030300 Loss_D_fake -0.010669
[1298/5000][330/535][133936] Loss_D: -0.019108 Loss_G: -0.010172 Loss_D_real: -0.000679 Loss_D_fake 0.018429
[1298/5000][335/535][133937] Loss_D: -0.019583 Loss_G: 0.002735 Loss_D_real: -0.020530 Loss_D_fake -0.000947
[1298/5000][340/535][133938] Loss_D: -0.019489 Loss_G: 0.029048 Loss_D_real: -0.020453 Loss_D_fake -0.000964
[1298/5000][345/535][133939] Loss_D: -0.020834 Loss_G: 0.006125 Loss_D_real: -0.010579 Loss_D_fake 0.010255
[1298/5000][350/535][133940] Loss_D: -0.017768 Loss_G: 0.020478 Loss_D_real: -0.028024 Loss_D_fake -0.010256
[1298/5000][355/535][133941] Loss_D: -0.019753 Loss_G: 0.005391 Loss_D_real: -0.013407 Loss_D_fake 0.006346
[1298/5000][360/535][133942] Loss_D: -0.019944 Loss_G: -0.011260 Loss_D_real: -0.011975 Loss_D_fake 0.007969
[1298/5000][365/535][133943] Loss_D: -0.020209 Loss_G: 0.003007 Loss_D_real: -0.007864 Loss_D_fake 0.012345
[1298/5000][370/535][133944] Loss_D: -0.019297 Loss_G: -0.010562 Loss_D_real: -0.012447 Loss_D_fake 0.006850
[1298/5000][375/535][133945] Loss_D: -0.019899 Loss_G: 0.010110 Loss_D_real: -0.014348 Loss_D_fake 0.005551
[1298/5000][380/535][133946] Loss_D: -0.019951 Loss_G: 0.015903 Loss_D_real: -0.007503 Loss_D_fake 0.012448
[1298/5000][385/535][133947] Loss_D: -0.020018 Loss_G: -0.000720 Loss_D_real: -0.001355 Loss_D_fake 0.018663
[1298/5000][390/535][133948] Loss_D: -0.021171 Loss_G: -0.002363 Loss_D_real: -0.009981 Loss_D_fake 0.011190
[1298/5000][395/535][133949] Loss_D: -0.019215 Loss_G: -0.017602 Loss_D_real: -0.011840 Loss_D_fake 0.007375
[1298/5000][400/535][133950] Loss_D: -0.020891 Loss_G: 0.008295 Loss_D_real: -0.010038 Loss_D_fake 0.010853
[1298/5000][405/535][133951] Loss_D: -0.019702 Loss_G: 0.017170 Loss_D_real: -0.027821 Loss_D_fake -0.008119
[1298/5000][410/535][133952] Loss_D: -0.020531 Loss_G: -0.009482 Loss_D_real: -0.004149 Loss_D_fake 0.016382
[1298/5000][415/535][133953] Loss_D: -0.019969 Loss_G: 0.019302 Loss_D_real: -0.018629 Loss_D_fake 0.001339
[1298/5000][420/535][133954] Loss_D: -0.020230 Loss_G: -0.000219 Loss_D_real: -0.007641 Loss_D_fake 0.012589
[1298/5000][425/535][133955] Loss_D: -0.020099 Loss_G: -0.002434 Loss_D_real: -0.018210 Loss_D_fake 0.001889
[1298/5000][430/535][133956] Loss_D: -0.019880 Loss_G: -0.004569 Loss_D_real: -0.006486 Loss_D_fake 0.013395
[1298/5000][435/535][133957] Loss_D: -0.019695 Loss_G: 0.005601 Loss_D_real: -0.020021 Loss_D_fake -0.000326
[1298/5000][440/535][133958] Loss_D: -0.020503 Loss_G: 0.002089 Loss_D_real: -0.003398 Loss_D_fake 0.017105
[1298/5000][445/535][133959] Loss_D: -0.020178 Loss_G: -0.004023 Loss_D_real: -0.013582 Loss_D_fake 0.006596
[1298/5000][450/535][133960] Loss_D: -0.019744 Loss_G: -0.010265 Loss_D_real: -0.013392 Loss_D_fake 0.006352
[1298/5000][455/535][133961] Loss_D: -0.020230 Loss_G: 0.009529 Loss_D_real: -0.009911 Loss_D_fake 0.010319
[1298/5000][460/535][133962] Loss_D: -0.019822 Loss_G: -0.007613 Loss_D_real: -0.007169 Loss_D_fake 0.012653
[1298/5000][465/535][133963] Loss_D: -0.019862 Loss_G: 0.012720 Loss_D_real: -0.024573 Loss_D_fake -0.004712
[1298/5000][470/535][133964] Loss_D: -0.019533 Loss_G: 0.002842 Loss_D_real: -0.006607 Loss_D_fake 0.012926
[1298/5000][475/535][133965] Loss_D: -0.021316 Loss_G: 0.005591 Loss_D_real: -0.012439 Loss_D_fake 0.008877
[1298/5000][480/535][133966] Loss_D: -0.020613 Loss_G: -0.000733 Loss_D_real: 0.000940 Loss_D_fake 0.021553
[1298/5000][485/535][133967] Loss_D: -0.018052 Loss_G: 0.011150 Loss_D_real: -0.022686 Loss_D_fake -0.004635
[1298/5000][490/535][133968] Loss_D: -0.020023 Loss_G: 0.000507 Loss_D_real: -0.005525 Loss_D_fake 0.014498
[1298/5000][495/535][133969] Loss_D: -0.019445 Loss_G: -0.008591 Loss_D_real: -0.004449 Loss_D_fake 0.014996
[1298/5000][500/535][133970] Loss_D: -0.021386 Loss_G: 0.009819 Loss_D_real: -0.027494 Loss_D_fake -0.006108
[1298/5000][505/535][133971] Loss_D: -0.020513 Loss_G: 0.015550 Loss_D_real: -0.024854 Loss_D_fake -0.004340
[1298/5000][510/535][133972] Loss_D: -0.018788 Loss_G: 0.000674 Loss_D_real: -0.004884 Loss_D_fake 0.013904
[1298/5000][515/535][133973] Loss_D: -0.020508 Loss_G: 0.008092 Loss_D_real: -0.018000 Loss_D_fake 0.002508
[1298/5000][520/535][133974] Loss_D: -0.020398 Loss_G: -0.007679 Loss_D_real: -0.001230 Loss_D_fake 0.019168
[1298/5000][525/535][133975] Loss_D: -0.019443 Loss_G: -0.001626 Loss_D_real: -0.026855 Loss_D_fake -0.007411
[1298/5000][530/535][133976] Loss_D: -0.018739 Loss_G: 0.034077 Loss_D_real: -0.033258 Loss_D_fake -0.014519
[1298/5000][535/535][133977] Loss_D: -0.018265 Loss_G: -0.017582 Loss_D_real: -0.022201 Loss_D_fake -0.003936
[1299/5000][5/535][133978] Loss_D: -0.020611 Loss_G: 0.006899 Loss_D_real: -0.012080 Loss_D_fake 0.008530
[1299/5000][10/535][133979] Loss_D: -0.019847 Loss_G: 0.010562 Loss_D_real: -0.010461 Loss_D_fake 0.009386
[1299/5000][15/535][133980] Loss_D: -0.019162 Loss_G: 0.031120 Loss_D_real: -0.015423 Loss_D_fake 0.003739
[1299/5000][20/535][133981] Loss_D: -0.020234 Loss_G: 0.002666 Loss_D_real: -0.021288 Loss_D_fake -0.001054
[1299/5000][25/535][133982] Loss_D: -0.021322 Loss_G: 0.006936 Loss_D_real: -0.012766 Loss_D_fake 0.008556
[1299/5000][30/535][133983] Loss_D: -0.019745 Loss_G: -0.000222 Loss_D_real: -0.004558 Loss_D_fake 0.015186
[1299/5000][35/535][133984] Loss_D: -0.019250 Loss_G: -0.002613 Loss_D_real: -0.008490 Loss_D_fake 0.010760
[1299/5000][40/535][133985] Loss_D: -0.020568 Loss_G: -0.005036 Loss_D_real: -0.015715 Loss_D_fake 0.004853
[1299/5000][45/535][133986] Loss_D: -0.020712 Loss_G: 0.017312 Loss_D_real: -0.026687 Loss_D_fake -0.005975
[1299/5000][50/535][133987] Loss_D: -0.019552 Loss_G: 0.019128 Loss_D_real: -0.017756 Loss_D_fake 0.001796
[1299/5000][55/535][133988] Loss_D: -0.020498 Loss_G: 0.010585 Loss_D_real: -0.010076 Loss_D_fake 0.010422
[1299/5000][60/535][133989] Loss_D: -0.020056 Loss_G: 0.027078 Loss_D_real: -0.025141 Loss_D_fake -0.005085
[1299/5000][65/535][133990] Loss_D: -0.018045 Loss_G: 0.013870 Loss_D_real: -0.034766 Loss_D_fake -0.016721
[1299/5000][70/535][133991] Loss_D: -0.019558 Loss_G: 0.019773 Loss_D_real: -0.020916 Loss_D_fake -0.001358
[1299/5000][75/535][133992] Loss_D: -0.019903 Loss_G: 0.001323 Loss_D_real: -0.015510 Loss_D_fake 0.004393
[1299/5000][80/535][133993] Loss_D: -0.019454 Loss_G: 0.009489 Loss_D_real: -0.019397 Loss_D_fake 0.000057
[1299/5000][85/535][133994] Loss_D: -0.021018 Loss_G: 0.002266 Loss_D_real: -0.022434 Loss_D_fake -0.001416
[1299/5000][90/535][133995] Loss_D: -0.020861 Loss_G: -0.006486 Loss_D_real: -0.013910 Loss_D_fake 0.006951
[1299/5000][95/535][133996] Loss_D: -0.021577 Loss_G: 0.014557 Loss_D_real: -0.025219 Loss_D_fake -0.003642
[1299/5000][100/535][133997] Loss_D: -0.020333 Loss_G: 0.012202 Loss_D_real: -0.016342 Loss_D_fake 0.003991
[1299/5000][105/535][133998] Loss_D: -0.020857 Loss_G: -0.002192 Loss_D_real: -0.005551 Loss_D_fake 0.015306
[1299/5000][110/535][133999] Loss_D: -0.020095 Loss_G: -0.010791 Loss_D_real: -0.011742 Loss_D_fake 0.008354
[1299/5000][115/535][134000] Loss_D: -0.020473 Loss_G: 0.009883 Loss_D_real: -0.019244 Loss_D_fake 0.001229
[1299/5000][215/535][134001] Loss_D: -0.023216 Loss_G: 0.014993 Loss_D_real: -0.008180 Loss_D_fake 0.015036
[1299/5000][220/535][134002] Loss_D: -0.021459 Loss_G: 0.014107 Loss_D_real: -0.010408 Loss_D_fake 0.011050
[1299/5000][225/535][134003] Loss_D: -0.018341 Loss_G: 0.017859 Loss_D_real: -0.019781 Loss_D_fake -0.001440
[1299/5000][230/535][134004] Loss_D: -0.019186 Loss_G: 0.020297 Loss_D_real: -0.029108 Loss_D_fake -0.009922
[1299/5000][235/535][134005] Loss_D: -0.018128 Loss_G: 0.015440 Loss_D_real: -0.021102 Loss_D_fake -0.002973
[1299/5000][240/535][134006] Loss_D: -0.019263 Loss_G: 0.014215 Loss_D_real: -0.022377 Loss_D_fake -0.003114
[1299/5000][245/535][134007] Loss_D: -0.018728 Loss_G: 0.008687 Loss_D_real: -0.027338 Loss_D_fake -0.008610
[1299/5000][250/535][134008] Loss_D: -0.018009 Loss_G: 0.009815 Loss_D_real: -0.014848 Loss_D_fake 0.003161
[1299/5000][255/535][134009] Loss_D: -0.020048 Loss_G: 0.002188 Loss_D_real: -0.007182 Loss_D_fake 0.012866
[1299/5000][260/535][134010] Loss_D: -0.019354 Loss_G: -0.001998 Loss_D_real: -0.013187 Loss_D_fake 0.006167
[1299/5000][265/535][134011] Loss_D: -0.019712 Loss_G: -0.011742 Loss_D_real: -0.002706 Loss_D_fake 0.017007
[1299/5000][270/535][134012] Loss_D: -0.019288 Loss_G: -0.001543 Loss_D_real: -0.022907 Loss_D_fake -0.003619
[1299/5000][275/535][134013] Loss_D: -0.020469 Loss_G: -0.000766 Loss_D_real: -0.018217 Loss_D_fake 0.002252
[1299/5000][280/535][134014] Loss_D: -0.019163 Loss_G: 0.005769 Loss_D_real: -0.016808 Loss_D_fake 0.002355
[1299/5000][285/535][134015] Loss_D: -0.019368 Loss_G: 0.013892 Loss_D_real: -0.016007 Loss_D_fake 0.003361
[1299/5000][290/535][134016] Loss_D: -0.020709 Loss_G: 0.013175 Loss_D_real: -0.011362 Loss_D_fake 0.009348
[1299/5000][295/535][134017] Loss_D: -0.021724 Loss_G: -0.000407 Loss_D_real: -0.012690 Loss_D_fake 0.009035
[1299/5000][300/535][134018] Loss_D: -0.017881 Loss_G: 0.030560 Loss_D_real: -0.033325 Loss_D_fake -0.015444
[1299/5000][305/535][134019] Loss_D: -0.018253 Loss_G: -0.006009 Loss_D_real: 0.003012 Loss_D_fake 0.021264
[1299/5000][310/535][134020] Loss_D: -0.020427 Loss_G: 0.001691 Loss_D_real: -0.014299 Loss_D_fake 0.006128
[1299/5000][315/535][134021] Loss_D: -0.018302 Loss_G: -0.000683 Loss_D_real: -0.002721 Loss_D_fake 0.015581
[1299/5000][320/535][134022] Loss_D: -0.019145 Loss_G: 0.001487 Loss_D_real: -0.021872 Loss_D_fake -0.002726
[1299/5000][325/535][134023] Loss_D: -0.020256 Loss_G: 0.006143 Loss_D_real: -0.016820 Loss_D_fake 0.003437
[1299/5000][330/535][134024] Loss_D: -0.020231 Loss_G: -0.011149 Loss_D_real: -0.013763 Loss_D_fake 0.006468
[1299/5000][335/535][134025] Loss_D: -0.020378 Loss_G: 0.001279 Loss_D_real: 0.002516 Loss_D_fake 0.022894
[1299/5000][340/535][134026] Loss_D: -0.019419 Loss_G: 0.005607 Loss_D_real: -0.014636 Loss_D_fake 0.004783
[1299/5000][345/535][134027] Loss_D: -0.021060 Loss_G: 0.000269 Loss_D_real: -0.017152 Loss_D_fake 0.003908
[1299/5000][350/535][134028] Loss_D: -0.020998 Loss_G: 0.001854 Loss_D_real: -0.008672 Loss_D_fake 0.012326
[1299/5000][355/535][134029] Loss_D: -0.019816 Loss_G: -0.008841 Loss_D_real: -0.017433 Loss_D_fake 0.002383
[1299/5000][360/535][134030] Loss_D: -0.020700 Loss_G: 0.028257 Loss_D_real: -0.015619 Loss_D_fake 0.005081
[1299/5000][365/535][134031] Loss_D: -0.019939 Loss_G: 0.008155 Loss_D_real: -0.002177 Loss_D_fake 0.017761
[1299/5000][370/535][134032] Loss_D: -0.020736 Loss_G: -0.001803 Loss_D_real: -0.025564 Loss_D_fake -0.004828
[1299/5000][375/535][134033] Loss_D: -0.019601 Loss_G: 0.015271 Loss_D_real: -0.017403 Loss_D_fake 0.002198
[1299/5000][380/535][134034] Loss_D: -0.020434 Loss_G: -0.009467 Loss_D_real: -0.006233 Loss_D_fake 0.014201
[1299/5000][385/535][134035] Loss_D: -0.020899 Loss_G: 0.014330 Loss_D_real: -0.029714 Loss_D_fake -0.008816
[1299/5000][390/535][134036] Loss_D: -0.020195 Loss_G: -0.005609 Loss_D_real: -0.004126 Loss_D_fake 0.016069
[1299/5000][395/535][134037] Loss_D: -0.020914 Loss_G: 0.003452 Loss_D_real: -0.015931 Loss_D_fake 0.004983
[1299/5000][400/535][134038] Loss_D: -0.019265 Loss_G: 0.016655 Loss_D_real: -0.018112 Loss_D_fake 0.001153
[1299/5000][405/535][134039] Loss_D: -0.019785 Loss_G: 0.014190 Loss_D_real: -0.029219 Loss_D_fake -0.009434
[1299/5000][410/535][134040] Loss_D: -0.018546 Loss_G: 0.014451 Loss_D_real: -0.031472 Loss_D_fake -0.012927
[1299/5000][415/535][134041] Loss_D: -0.019083 Loss_G: 0.013935 Loss_D_real: -0.028351 Loss_D_fake -0.009268
[1299/5000][420/535][134042] Loss_D: -0.019163 Loss_G: 0.013890 Loss_D_real: -0.019250 Loss_D_fake -0.000086
[1299/5000][425/535][134043] Loss_D: -0.019129 Loss_G: 0.006201 Loss_D_real: -0.018915 Loss_D_fake 0.000214
[1299/5000][430/535][134044] Loss_D: -0.020199 Loss_G: 0.004446 Loss_D_real: -0.006213 Loss_D_fake 0.013986
[1299/5000][435/535][134045] Loss_D: -0.019321 Loss_G: 0.013421 Loss_D_real: -0.022377 Loss_D_fake -0.003056
[1299/5000][440/535][134046] Loss_D: -0.019282 Loss_G: 0.007900 Loss_D_real: -0.015948 Loss_D_fake 0.003334
[1299/5000][445/535][134047] Loss_D: -0.018268 Loss_G: -0.019565 Loss_D_real: -0.001084 Loss_D_fake 0.017184
[1299/5000][450/535][134048] Loss_D: -0.019273 Loss_G: 0.006275 Loss_D_real: -0.001380 Loss_D_fake 0.017893
[1299/5000][455/535][134049] Loss_D: -0.019991 Loss_G: 0.014947 Loss_D_real: -0.006186 Loss_D_fake 0.013805
[1299/5000][460/535][134050] Loss_D: -0.020175 Loss_G: -0.006560 Loss_D_real: -0.001481 Loss_D_fake 0.018694
[1299/5000][465/535][134051] Loss_D: -0.019647 Loss_G: -0.015875 Loss_D_real: -0.011027 Loss_D_fake 0.008621
[1299/5000][470/535][134052] Loss_D: -0.020861 Loss_G: 0.003581 Loss_D_real: -0.019066 Loss_D_fake 0.001795
[1299/5000][475/535][134053] Loss_D: -0.021093 Loss_G: -0.010046 Loss_D_real: -0.013509 Loss_D_fake 0.007584
[1299/5000][480/535][134054] Loss_D: -0.019092 Loss_G: -0.019787 Loss_D_real: -0.005003 Loss_D_fake 0.014089
[1299/5000][485/535][134055] Loss_D: -0.020345 Loss_G: 0.013751 Loss_D_real: -0.016805 Loss_D_fake 0.003540
[1299/5000][490/535][134056] Loss_D: -0.020347 Loss_G: -0.003921 Loss_D_real: -0.009713 Loss_D_fake 0.010634
[1299/5000][495/535][134057] Loss_D: -0.019672 Loss_G: -0.001319 Loss_D_real: 0.009609 Loss_D_fake 0.029281
[1299/5000][500/535][134058] Loss_D: -0.018206 Loss_G: -0.013375 Loss_D_real: -0.007517 Loss_D_fake 0.010689
[1299/5000][505/535][134059] Loss_D: -0.020078 Loss_G: 0.026576 Loss_D_real: -0.015527 Loss_D_fake 0.004551
[1299/5000][510/535][134060] Loss_D: -0.017367 Loss_G: 0.019736 Loss_D_real: -0.036980 Loss_D_fake -0.019613
[1299/5000][515/535][134061] Loss_D: -0.020079 Loss_G: 0.013361 Loss_D_real: -0.024917 Loss_D_fake -0.004837
[1299/5000][520/535][134062] Loss_D: -0.019994 Loss_G: 0.013767 Loss_D_real: -0.026901 Loss_D_fake -0.006907
[1299/5000][525/535][134063] Loss_D: -0.019496 Loss_G: 0.017826 Loss_D_real: -0.029388 Loss_D_fake -0.009892
[1299/5000][530/535][134064] Loss_D: -0.020399 Loss_G: 0.016843 Loss_D_real: -0.020541 Loss_D_fake -0.000142
[1299/5000][535/535][134065] Loss_D: -0.020303 Loss_G: 0.014830 Loss_D_real: -0.017570 Loss_D_fake 0.002733
[1300/5000][5/535][134066] Loss_D: -0.021580 Loss_G: -0.019613 Loss_D_real: -0.014263 Loss_D_fake 0.007318
[1300/5000][10/535][134067] Loss_D: -0.019240 Loss_G: 0.007652 Loss_D_real: -0.020416 Loss_D_fake -0.001177
[1300/5000][15/535][134068] Loss_D: -0.019669 Loss_G: 0.012753 Loss_D_real: -0.034363 Loss_D_fake -0.014694
[1300/5000][20/535][134069] Loss_D: -0.022088 Loss_G: 0.002016 Loss_D_real: -0.006874 Loss_D_fake 0.015213
[1300/5000][25/535][134070] Loss_D: -0.020671 Loss_G: 0.009258 Loss_D_real: -0.015959 Loss_D_fake 0.004712
[1300/5000][30/535][134071] Loss_D: -0.021003 Loss_G: 0.008976 Loss_D_real: -0.004258 Loss_D_fake 0.016745
[1300/5000][35/535][134072] Loss_D: -0.020201 Loss_G: -0.000401 Loss_D_real: -0.014343 Loss_D_fake 0.005859
[1300/5000][40/535][134073] Loss_D: -0.019207 Loss_G: 0.029316 Loss_D_real: -0.019389 Loss_D_fake -0.000182
[1300/5000][45/535][134074] Loss_D: -0.019057 Loss_G: -0.014096 Loss_D_real: -0.005645 Loss_D_fake 0.013412
[1300/5000][50/535][134075] Loss_D: -0.019882 Loss_G: -0.015406 Loss_D_real: -0.014757 Loss_D_fake 0.005125
[1300/5000][55/535][134076] Loss_D: -0.018881 Loss_G: 0.016210 Loss_D_real: -0.031483 Loss_D_fake -0.012602
[1300/5000][60/535][134077] Loss_D: -0.019338 Loss_G: 0.019042 Loss_D_real: -0.024328 Loss_D_fake -0.004990
[1300/5000][65/535][134078] Loss_D: -0.019851 Loss_G: 0.011146 Loss_D_real: -0.005960 Loss_D_fake 0.013891
[1300/5000][70/535][134079] Loss_D: -0.018572 Loss_G: 0.019420 Loss_D_real: -0.024229 Loss_D_fake -0.005658
[1300/5000][75/535][134080] Loss_D: -0.020024 Loss_G: 0.021085 Loss_D_real: -0.024723 Loss_D_fake -0.004700
[1300/5000][80/535][134081] Loss_D: -0.020063 Loss_G: 0.000990 Loss_D_real: -0.012745 Loss_D_fake 0.007319
[1300/5000][85/535][134082] Loss_D: -0.020545 Loss_G: -0.003654 Loss_D_real: -0.009236 Loss_D_fake 0.011308
[1300/5000][90/535][134083] Loss_D: -0.019348 Loss_G: 0.002456 Loss_D_real: -0.006719 Loss_D_fake 0.012628
[1300/5000][95/535][134084] Loss_D: -0.021353 Loss_G: 0.004443 Loss_D_real: -0.024907 Loss_D_fake -0.003554
[1300/5000][100/535][134085] Loss_D: -0.020619 Loss_G: 0.022622 Loss_D_real: -0.017744 Loss_D_fake 0.002875
[1300/5000][105/535][134086] Loss_D: -0.019392 Loss_G: 0.024013 Loss_D_real: -0.032408 Loss_D_fake -0.013016
[1300/5000][110/535][134087] Loss_D: -0.018922 Loss_G: -0.013726 Loss_D_real: -0.004938 Loss_D_fake 0.013984
[1300/5000][115/535][134088] Loss_D: -0.020147 Loss_G: -0.000180 Loss_D_real: -0.002946 Loss_D_fake 0.017202
[1300/5000][120/535][134089] Loss_D: -0.018647 Loss_G: 0.017740 Loss_D_real: -0.026374 Loss_D_fake -0.007726
[1300/5000][125/535][134090] Loss_D: -0.020035 Loss_G: 0.017715 Loss_D_real: -0.025890 Loss_D_fake -0.005855
[1300/5000][130/535][134091] Loss_D: -0.020123 Loss_G: 0.005239 Loss_D_real: -0.005519 Loss_D_fake 0.014604
[1300/5000][135/535][134092] Loss_D: -0.016078 Loss_G: 0.027364 Loss_D_real: -0.040397 Loss_D_fake -0.024319
[1300/5000][140/535][134093] Loss_D: -0.018252 Loss_G: 0.006309 Loss_D_real: -0.020647 Loss_D_fake -0.002395
[1300/5000][145/535][134094] Loss_D: -0.019890 Loss_G: -0.001119 Loss_D_real: -0.017098 Loss_D_fake 0.002791
[1300/5000][150/535][134095] Loss_D: -0.019833 Loss_G: -0.009897 Loss_D_real: 0.000779 Loss_D_fake 0.020612
[1300/5000][155/535][134096] Loss_D: -0.021085 Loss_G: 0.008793 Loss_D_real: -0.028952 Loss_D_fake -0.007867
[1300/5000][160/535][134097] Loss_D: -0.021628 Loss_G: 0.022668 Loss_D_real: -0.017540 Loss_D_fake 0.004089
[1300/5000][165/535][134098] Loss_D: -0.019098 Loss_G: 0.018172 Loss_D_real: -0.028403 Loss_D_fake -0.009305
[1300/5000][170/535][134099] Loss_D: -0.019456 Loss_G: 0.020115 Loss_D_real: -0.023392 Loss_D_fake -0.003936
[1300/5000][175/535][134100] Loss_D: -0.020866 Loss_G: 0.010171 Loss_D_real: -0.016053 Loss_D_fake 0.004813
[1300/5000][180/535][134101] Loss_D: -0.020301 Loss_G: -0.000271 Loss_D_real: -0.004350 Loss_D_fake 0.015951
[1300/5000][185/535][134102] Loss_D: -0.017326 Loss_G: 0.026474 Loss_D_real: -0.039115 Loss_D_fake -0.021789
[1300/5000][190/535][134103] Loss_D: -0.017550 Loss_G: 0.032446 Loss_D_real: -0.029648 Loss_D_fake -0.012097
[1300/5000][195/535][134104] Loss_D: -0.019767 Loss_G: -0.006294 Loss_D_real: -0.012077 Loss_D_fake 0.007690
[1300/5000][200/535][134105] Loss_D: -0.021193 Loss_G: 0.008146 Loss_D_real: -0.016859 Loss_D_fake 0.004334
[1300/5000][205/535][134106] Loss_D: -0.019586 Loss_G: 0.013119 Loss_D_real: -0.012694 Loss_D_fake 0.006893
[1300/5000][210/535][134107] Loss_D: -0.019542 Loss_G: 0.000214 Loss_D_real: -0.014427 Loss_D_fake 0.005115
[1300/5000][215/535][134108] Loss_D: -0.018996 Loss_G: 0.017018 Loss_D_real: -0.027248 Loss_D_fake -0.008253
[1300/5000][220/535][134109] Loss_D: -0.019663 Loss_G: 0.020946 Loss_D_real: -0.027155 Loss_D_fake -0.007491
[1300/5000][225/535][134110] Loss_D: -0.018134 Loss_G: 0.016107 Loss_D_real: -0.009747 Loss_D_fake 0.008387
[1300/5000][230/535][134111] Loss_D: -0.020443 Loss_G: 0.009187 Loss_D_real: -0.026378 Loss_D_fake -0.005935
[1300/5000][235/535][134112] Loss_D: -0.020668 Loss_G: 0.006516 Loss_D_real: -0.020713 Loss_D_fake -0.000045
[1300/5000][240/535][134113] Loss_D: -0.019232 Loss_G: 0.004121 Loss_D_real: -0.009942 Loss_D_fake 0.009290
[1300/5000][245/535][134114] Loss_D: -0.020082 Loss_G: 0.000006 Loss_D_real: -0.000005 Loss_D_fake 0.020077
[1300/5000][250/535][134115] Loss_D: -0.021194 Loss_G: 0.015596 Loss_D_real: -0.022156 Loss_D_fake -0.000962
[1300/5000][255/535][134116] Loss_D: -0.020024 Loss_G: -0.000519 Loss_D_real: -0.019158 Loss_D_fake 0.000866
[1300/5000][260/535][134117] Loss_D: -0.019906 Loss_G: 0.012055 Loss_D_real: -0.012116 Loss_D_fake 0.007790
[1300/5000][265/535][134118] Loss_D: -0.020272 Loss_G: 0.016491 Loss_D_real: -0.017204 Loss_D_fake 0.003068
[1300/5000][270/535][134119] Loss_D: -0.018966 Loss_G: 0.009334 Loss_D_real: -0.015196 Loss_D_fake 0.003770
[1300/5000][275/535][134120] Loss_D: -0.019054 Loss_G: 0.019839 Loss_D_real: -0.028992 Loss_D_fake -0.009938
[1300/5000][280/535][134121] Loss_D: -0.020331 Loss_G: 0.001689 Loss_D_real: -0.013920 Loss_D_fake 0.006411
[1300/5000][285/535][134122] Loss_D: -0.020536 Loss_G: 0.004952 Loss_D_real: -0.017164 Loss_D_fake 0.003372
[1300/5000][290/535][134123] Loss_D: -0.021262 Loss_G: 0.008974 Loss_D_real: -0.012944 Loss_D_fake 0.008318
[1300/5000][295/535][134124] Loss_D: -0.020170 Loss_G: 0.018563 Loss_D_real: -0.018319 Loss_D_fake 0.001851
[1300/5000][300/535][134125] Loss_D: -0.020881 Loss_G: 0.007238 Loss_D_real: -0.022068 Loss_D_fake -0.001187
[1300/5000][305/535][134126] Loss_D: -0.020735 Loss_G: 0.031665 Loss_D_real: -0.030274 Loss_D_fake -0.009539
[1300/5000][310/535][134127] Loss_D: -0.021022 Loss_G: 0.004527 Loss_D_real: -0.009363 Loss_D_fake 0.011659
[1300/5000][315/535][134128] Loss_D: -0.020981 Loss_G: 0.008836 Loss_D_real: -0.024546 Loss_D_fake -0.003565
[1300/5000][320/535][134129] Loss_D: -0.019303 Loss_G: -0.009856 Loss_D_real: -0.012348 Loss_D_fake 0.006955
[1300/5000][325/535][134130] Loss_D: -0.018940 Loss_G: -0.005039 Loss_D_real: -0.010486 Loss_D_fake 0.008454
[1300/5000][330/535][134131] Loss_D: -0.019651 Loss_G: 0.003933 Loss_D_real: -0.022759 Loss_D_fake -0.003108
[1300/5000][335/535][134132] Loss_D: -0.018706 Loss_G: 0.010713 Loss_D_real: -0.008113 Loss_D_fake 0.010594
[1300/5000][340/535][134133] Loss_D: -0.019391 Loss_G: 0.011641 Loss_D_real: -0.028226 Loss_D_fake -0.008835
[1300/5000][345/535][134134] Loss_D: -0.019895 Loss_G: 0.011906 Loss_D_real: -0.019358 Loss_D_fake 0.000537
[1300/5000][350/535][134135] Loss_D: -0.019939 Loss_G: 0.005808 Loss_D_real: -0.002436 Loss_D_fake 0.017503
[1300/5000][355/535][134136] Loss_D: -0.018236 Loss_G: 0.014969 Loss_D_real: -0.035283 Loss_D_fake -0.017047
[1300/5000][360/535][134137] Loss_D: -0.019948 Loss_G: 0.014905 Loss_D_real: -0.026284 Loss_D_fake -0.006336
[1300/5000][365/535][134138] Loss_D: -0.019189 Loss_G: 0.009937 Loss_D_real: -0.022977 Loss_D_fake -0.003788
[1300/5000][370/535][134139] Loss_D: -0.020600 Loss_G: -0.004422 Loss_D_real: -0.005615 Loss_D_fake 0.014985
[1300/5000][375/535][134140] Loss_D: -0.019878 Loss_G: -0.005087 Loss_D_real: 0.008912 Loss_D_fake 0.028790
[1300/5000][380/535][134141] Loss_D: -0.020252 Loss_G: 0.017856 Loss_D_real: -0.025244 Loss_D_fake -0.004992
[1300/5000][385/535][134142] Loss_D: -0.019209 Loss_G: 0.004038 Loss_D_real: -0.014306 Loss_D_fake 0.004904
[1300/5000][390/535][134143] Loss_D: -0.020406 Loss_G: 0.018803 Loss_D_real: -0.032982 Loss_D_fake -0.012575
[1300/5000][395/535][134144] Loss_D: -0.020226 Loss_G: 0.008928 Loss_D_real: -0.013304 Loss_D_fake 0.006921
[1300/5000][400/535][134145] Loss_D: -0.020466 Loss_G: 0.001508 Loss_D_real: -0.005475 Loss_D_fake 0.014991
[1300/5000][405/535][134146] Loss_D: -0.019749 Loss_G: 0.019775 Loss_D_real: -0.026074 Loss_D_fake -0.006325
[1300/5000][410/535][134147] Loss_D: -0.021557 Loss_G: 0.021432 Loss_D_real: -0.020035 Loss_D_fake 0.001523
[1300/5000][415/535][134148] Loss_D: -0.020419 Loss_G: -0.000390 Loss_D_real: -0.009909 Loss_D_fake 0.010510
[1300/5000][420/535][134149] Loss_D: -0.019453 Loss_G: -0.008059 Loss_D_real: -0.018273 Loss_D_fake 0.001179
[1300/5000][425/535][134150] Loss_D: -0.019171 Loss_G: 0.018485 Loss_D_real: -0.025063 Loss_D_fake -0.005893
[1300/5000][430/535][134151] Loss_D: -0.020427 Loss_G: 0.008250 Loss_D_real: -0.033343 Loss_D_fake -0.012916
[1300/5000][435/535][134152] Loss_D: -0.020259 Loss_G: 0.014124 Loss_D_real: -0.023300 Loss_D_fake -0.003041
[1300/5000][440/535][134153] Loss_D: -0.020876 Loss_G: -0.000364 Loss_D_real: -0.008700 Loss_D_fake 0.012177
[1300/5000][445/535][134154] Loss_D: -0.017756 Loss_G: -0.013374 Loss_D_real: -0.011240 Loss_D_fake 0.006516
[1300/5000][450/535][134155] Loss_D: -0.018384 Loss_G: -0.010798 Loss_D_real: -0.009470 Loss_D_fake 0.008914
[1300/5000][455/535][134156] Loss_D: -0.018521 Loss_G: -0.011468 Loss_D_real: -0.009616 Loss_D_fake 0.008905
[1300/5000][460/535][134157] Loss_D: -0.018787 Loss_G: 0.022406 Loss_D_real: -0.030964 Loss_D_fake -0.012178
[1300/5000][465/535][134158] Loss_D: -0.019116 Loss_G: 0.016117 Loss_D_real: -0.024684 Loss_D_fake -0.005568
[1300/5000][470/535][134159] Loss_D: -0.019415 Loss_G: -0.004549 Loss_D_real: -0.009885 Loss_D_fake 0.009530
[1300/5000][475/535][134160] Loss_D: -0.019678 Loss_G: 0.003067 Loss_D_real: -0.008645 Loss_D_fake 0.011033
[1300/5000][480/535][134161] Loss_D: -0.018967 Loss_G: 0.000089 Loss_D_real: -0.003202 Loss_D_fake 0.015765
[1300/5000][485/535][134162] Loss_D: -0.019940 Loss_G: 0.009548 Loss_D_real: -0.014540 Loss_D_fake 0.005400
[1300/5000][490/535][134163] Loss_D: -0.019372 Loss_G: 0.004001 Loss_D_real: -0.001464 Loss_D_fake 0.017908
[1300/5000][495/535][134164] Loss_D: -0.018032 Loss_G: 0.011292 Loss_D_real: -0.014143 Loss_D_fake 0.003889
[1300/5000][500/535][134165] Loss_D: -0.019367 Loss_G: 0.016729 Loss_D_real: -0.023904 Loss_D_fake -0.004537
[1300/5000][505/535][134166] Loss_D: -0.020622 Loss_G: 0.010735 Loss_D_real: -0.018208 Loss_D_fake 0.002415
[1300/5000][510/535][134167] Loss_D: -0.020630 Loss_G: 0.001911 Loss_D_real: -0.019725 Loss_D_fake 0.000904
[1300/5000][515/535][134168] Loss_D: -0.020093 Loss_G: 0.015839 Loss_D_real: -0.016613 Loss_D_fake 0.003479
[1300/5000][520/535][134169] Loss_D: -0.020321 Loss_G: 0.016792 Loss_D_real: -0.015365 Loss_D_fake 0.004955
[1300/5000][525/535][134170] Loss_D: -0.020649 Loss_G: 0.013939 Loss_D_real: -0.020430 Loss_D_fake 0.000218
[1300/5000][530/535][134171] Loss_D: -0.020709 Loss_G: 0.018710 Loss_D_real: -0.023145 Loss_D_fake -0.002436
[1300/5000][535/535][134172] Loss_D: -0.019947 Loss_G: 0.016905 Loss_D_real: -0.015715 Loss_D_fake 0.004231
[1301/5000][5/535][134173] Loss_D: -0.021623 Loss_G: 0.010032 Loss_D_real: -0.020987 Loss_D_fake 0.000636
[1301/5000][10/535][134174] Loss_D: -0.020742 Loss_G: -0.011233 Loss_D_real: -0.017112 Loss_D_fake 0.003630
[1301/5000][15/535][134175] Loss_D: -0.020886 Loss_G: 0.010284 Loss_D_real: -0.007244 Loss_D_fake 0.013642
[1301/5000][20/535][134176] Loss_D: -0.019364 Loss_G: -0.008338 Loss_D_real: -0.005966 Loss_D_fake 0.013398
[1301/5000][25/535][134177] Loss_D: -0.020757 Loss_G: 0.005558 Loss_D_real: -0.008050 Loss_D_fake 0.012707
[1301/5000][30/535][134178] Loss_D: -0.018285 Loss_G: 0.007676 Loss_D_real: 0.000385 Loss_D_fake 0.018670
[1301/5000][35/535][134179] Loss_D: -0.020159 Loss_G: -0.013106 Loss_D_real: 0.000343 Loss_D_fake 0.020502
[1301/5000][40/535][134180] Loss_D: -0.020221 Loss_G: -0.001554 Loss_D_real: -0.010381 Loss_D_fake 0.009840
[1301/5000][45/535][134181] Loss_D: -0.020180 Loss_G: -0.003420 Loss_D_real: -0.003716 Loss_D_fake 0.016464
[1301/5000][50/535][134182] Loss_D: -0.019769 Loss_G: 0.003949 Loss_D_real: -0.017016 Loss_D_fake 0.002753
[1301/5000][55/535][134183] Loss_D: -0.019615 Loss_G: 0.006712 Loss_D_real: -0.022543 Loss_D_fake -0.002928
[1301/5000][60/535][134184] Loss_D: -0.021613 Loss_G: 0.006726 Loss_D_real: -0.003797 Loss_D_fake 0.017816
[1301/5000][65/535][134185] Loss_D: -0.020957 Loss_G: 0.019049 Loss_D_real: -0.024620 Loss_D_fake -0.003663
[1301/5000][70/535][134186] Loss_D: -0.020547 Loss_G: -0.005448 Loss_D_real: -0.016499 Loss_D_fake 0.004048
[1301/5000][75/535][134187] Loss_D: -0.020269 Loss_G: 0.000664 Loss_D_real: -0.007766 Loss_D_fake 0.012503
[1301/5000][80/535][134188] Loss_D: -0.019944 Loss_G: 0.016050 Loss_D_real: -0.019743 Loss_D_fake 0.000201
[1301/5000][85/535][134189] Loss_D: -0.019080 Loss_G: -0.006495 Loss_D_real: -0.001972 Loss_D_fake 0.017107
[1301/5000][90/535][134190] Loss_D: -0.020172 Loss_G: -0.006244 Loss_D_real: -0.018251 Loss_D_fake 0.001920
[1301/5000][95/535][134191] Loss_D: -0.020918 Loss_G: 0.009399 Loss_D_real: -0.015853 Loss_D_fake 0.005065
[1301/5000][100/535][134192] Loss_D: -0.019831 Loss_G: -0.000652 Loss_D_real: -0.002086 Loss_D_fake 0.017745
[1301/5000][105/535][134193] Loss_D: -0.019610 Loss_G: 0.009358 Loss_D_real: -0.015993 Loss_D_fake 0.003617
[1301/5000][110/535][134194] Loss_D: -0.019433 Loss_G: 0.007240 Loss_D_real: -0.010264 Loss_D_fake 0.009169
[1301/5000][115/535][134195] Loss_D: -0.019774 Loss_G: -0.005395 Loss_D_real: -0.000679 Loss_D_fake 0.019095
[1301/5000][120/535][134196] Loss_D: -0.019260 Loss_G: 0.010912 Loss_D_real: -0.015936 Loss_D_fake 0.003324
[1301/5000][125/535][134197] Loss_D: -0.020380 Loss_G: 0.004113 Loss_D_real: -0.022909 Loss_D_fake -0.002529
[1301/5000][130/535][134198] Loss_D: -0.019097 Loss_G: 0.006643 Loss_D_real: -0.012185 Loss_D_fake 0.006912
[1301/5000][135/535][134199] Loss_D: -0.019784 Loss_G: 0.021548 Loss_D_real: -0.026167 Loss_D_fake -0.006382
[1301/5000][140/535][134200] Loss_D: -0.020171 Loss_G: 0.024533 Loss_D_real: -0.020220 Loss_D_fake -0.000049
[1301/5000][145/535][134201] Loss_D: -0.018053 Loss_G: 0.015677 Loss_D_real: -0.024323 Loss_D_fake -0.006270
[1301/5000][150/535][134202] Loss_D: -0.018029 Loss_G: 0.022989 Loss_D_real: -0.032392 Loss_D_fake -0.014363
[1301/5000][155/535][134203] Loss_D: -0.020513 Loss_G: 0.003693 Loss_D_real: -0.015285 Loss_D_fake 0.005228
[1301/5000][160/535][134204] Loss_D: -0.020527 Loss_G: -0.003044 Loss_D_real: -0.008522 Loss_D_fake 0.012005
[1301/5000][165/535][134205] Loss_D: -0.019912 Loss_G: 0.012037 Loss_D_real: -0.015281 Loss_D_fake 0.004631
[1301/5000][170/535][134206] Loss_D: -0.021786 Loss_G: 0.015035 Loss_D_real: -0.029904 Loss_D_fake -0.008118
[1301/5000][175/535][134207] Loss_D: -0.020215 Loss_G: -0.004328 Loss_D_real: -0.010798 Loss_D_fake 0.009416
[1301/5000][180/535][134208] Loss_D: -0.020438 Loss_G: -0.007453 Loss_D_real: -0.002536 Loss_D_fake 0.017902
[1301/5000][185/535][134209] Loss_D: -0.020782 Loss_G: 0.012427 Loss_D_real: -0.018390 Loss_D_fake 0.002392
[1301/5000][190/535][134210] Loss_D: -0.018416 Loss_G: 0.022493 Loss_D_real: -0.034703 Loss_D_fake -0.016288
[1301/5000][195/535][134211] Loss_D: -0.019926 Loss_G: 0.003432 Loss_D_real: -0.009542 Loss_D_fake 0.010385
[1301/5000][200/535][134212] Loss_D: -0.019678 Loss_G: 0.017251 Loss_D_real: -0.019698 Loss_D_fake -0.000019
[1301/5000][205/535][134213] Loss_D: -0.019779 Loss_G: 0.011346 Loss_D_real: -0.019835 Loss_D_fake -0.000055
[1301/5000][210/535][134214] Loss_D: -0.019443 Loss_G: 0.000228 Loss_D_real: -0.025908 Loss_D_fake -0.006465
[1301/5000][215/535][134215] Loss_D: -0.019347 Loss_G: 0.018859 Loss_D_real: -0.034151 Loss_D_fake -0.014804
[1301/5000][220/535][134216] Loss_D: -0.019592 Loss_G: 0.023990 Loss_D_real: -0.024857 Loss_D_fake -0.005265
[1301/5000][225/535][134217] Loss_D: -0.020620 Loss_G: 0.020085 Loss_D_real: -0.018283 Loss_D_fake 0.002338
[1301/5000][230/535][134218] Loss_D: -0.021325 Loss_G: 0.018253 Loss_D_real: -0.029356 Loss_D_fake -0.008031
[1301/5000][235/535][134219] Loss_D: -0.020363 Loss_G: 0.006970 Loss_D_real: -0.024856 Loss_D_fake -0.004493
[1301/5000][240/535][134220] Loss_D: -0.020087 Loss_G: 0.019979 Loss_D_real: -0.026278 Loss_D_fake -0.006191
[1301/5000][245/535][134221] Loss_D: -0.019340 Loss_G: 0.022514 Loss_D_real: -0.034536 Loss_D_fake -0.015196
[1301/5000][250/535][134222] Loss_D: -0.018809 Loss_G: -0.007153 Loss_D_real: 0.002203 Loss_D_fake 0.021013
[1301/5000][255/535][134223] Loss_D: -0.020027 Loss_G: 0.001011 Loss_D_real: -0.006961 Loss_D_fake 0.013066
[1301/5000][260/535][134224] Loss_D: -0.019874 Loss_G: 0.015370 Loss_D_real: -0.025059 Loss_D_fake -0.005185
[1301/5000][265/535][134225] Loss_D: -0.020291 Loss_G: -0.000180 Loss_D_real: -0.003284 Loss_D_fake 0.017006
[1301/5000][270/535][134226] Loss_D: -0.019613 Loss_G: -0.001323 Loss_D_real: -0.011490 Loss_D_fake 0.008123
[1301/5000][275/535][134227] Loss_D: -0.019499 Loss_G: 0.017262 Loss_D_real: -0.022951 Loss_D_fake -0.003453
[1301/5000][280/535][134228] Loss_D: -0.020052 Loss_G: 0.001626 Loss_D_real: -0.014600 Loss_D_fake 0.005452
[1301/5000][285/535][134229] Loss_D: -0.019257 Loss_G: 0.004527 Loss_D_real: -0.013177 Loss_D_fake 0.006080
[1301/5000][290/535][134230] Loss_D: -0.019083 Loss_G: 0.009379 Loss_D_real: -0.012797 Loss_D_fake 0.006286
[1301/5000][295/535][134231] Loss_D: -0.020083 Loss_G: 0.004045 Loss_D_real: -0.027078 Loss_D_fake -0.006995
[1301/5000][300/535][134232] Loss_D: -0.021348 Loss_G: -0.002374 Loss_D_real: -0.010339 Loss_D_fake 0.011009
[1301/5000][305/535][134233] Loss_D: -0.019549 Loss_G: 0.006384 Loss_D_real: -0.013525 Loss_D_fake 0.006024
[1301/5000][310/535][134234] Loss_D: -0.018597 Loss_G: -0.000950 Loss_D_real: 0.002059 Loss_D_fake 0.020656
[1301/5000][315/535][134235] Loss_D: -0.019327 Loss_G: 0.005344 Loss_D_real: -0.020227 Loss_D_fake -0.000901
[1301/5000][320/535][134236] Loss_D: -0.019634 Loss_G: 0.017051 Loss_D_real: -0.017839 Loss_D_fake 0.001795
[1301/5000][325/535][134237] Loss_D: -0.019510 Loss_G: 0.004458 Loss_D_real: -0.019292 Loss_D_fake 0.000218
[1301/5000][330/535][134238] Loss_D: -0.019721 Loss_G: 0.006458 Loss_D_real: -0.020201 Loss_D_fake -0.000480
[1301/5000][335/535][134239] Loss_D: -0.020069 Loss_G: 0.009105 Loss_D_real: -0.019526 Loss_D_fake 0.000543
[1301/5000][340/535][134240] Loss_D: -0.019543 Loss_G: 0.009161 Loss_D_real: -0.018573 Loss_D_fake 0.000970
[1301/5000][345/535][134241] Loss_D: -0.019969 Loss_G: 0.016569 Loss_D_real: -0.011098 Loss_D_fake 0.008871
[1301/5000][350/535][134242] Loss_D: -0.020945 Loss_G: -0.006730 Loss_D_real: -0.022775 Loss_D_fake -0.001830
[1301/5000][355/535][134243] Loss_D: -0.020770 Loss_G: 0.011775 Loss_D_real: -0.018536 Loss_D_fake 0.002234
[1301/5000][360/535][134244] Loss_D: -0.020535 Loss_G: 0.010714 Loss_D_real: -0.012805 Loss_D_fake 0.007730
[1301/5000][365/535][134245] Loss_D: -0.018975 Loss_G: 0.007087 Loss_D_real: -0.027575 Loss_D_fake -0.008600
[1301/5000][370/535][134246] Loss_D: -0.019569 Loss_G: 0.002493 Loss_D_real: -0.009516 Loss_D_fake 0.010053
[1301/5000][375/535][134247] Loss_D: -0.019751 Loss_G: 0.014440 Loss_D_real: -0.017458 Loss_D_fake 0.002293
[1301/5000][380/535][134248] Loss_D: -0.020064 Loss_G: 0.006411 Loss_D_real: -0.013521 Loss_D_fake 0.006543
[1301/5000][385/535][134249] Loss_D: -0.019795 Loss_G: -0.008899 Loss_D_real: -0.011866 Loss_D_fake 0.007929
[1301/5000][390/535][134250] Loss_D: -0.020251 Loss_G: 0.005453 Loss_D_real: -0.010547 Loss_D_fake 0.009704
[1301/5000][395/535][134251] Loss_D: -0.020840 Loss_G: 0.011583 Loss_D_real: -0.025404 Loss_D_fake -0.004564
[1301/5000][400/535][134252] Loss_D: -0.019081 Loss_G: 0.000019 Loss_D_real: -0.020141 Loss_D_fake -0.001061
[1301/5000][405/535][134253] Loss_D: -0.021306 Loss_G: 0.001608 Loss_D_real: -0.016103 Loss_D_fake 0.005204
[1301/5000][410/535][134254] Loss_D: -0.018568 Loss_G: 0.013781 Loss_D_real: -0.021356 Loss_D_fake -0.002788
[1301/5000][415/535][134255] Loss_D: -0.018367 Loss_G: 0.016927 Loss_D_real: -0.039221 Loss_D_fake -0.020854
[1301/5000][420/535][134256] Loss_D: -0.019123 Loss_G: 0.016101 Loss_D_real: -0.005670 Loss_D_fake 0.013454
[1301/5000][425/535][134257] Loss_D: -0.020214 Loss_G: 0.007317 Loss_D_real: -0.026698 Loss_D_fake -0.006484
[1301/5000][430/535][134258] Loss_D: -0.021066 Loss_G: 0.005566 Loss_D_real: -0.006804 Loss_D_fake 0.014262
[1301/5000][435/535][134259] Loss_D: -0.019680 Loss_G: 0.004150 Loss_D_real: -0.016592 Loss_D_fake 0.003088
[1301/5000][440/535][134260] Loss_D: -0.020295 Loss_G: 0.024407 Loss_D_real: -0.018543 Loss_D_fake 0.001751
[1301/5000][445/535][134261] Loss_D: -0.018162 Loss_G: 0.027076 Loss_D_real: -0.030846 Loss_D_fake -0.012684
[1301/5000][450/535][134262] Loss_D: -0.019354 Loss_G: -0.012403 Loss_D_real: -0.001900 Loss_D_fake 0.017454
[1301/5000][455/535][134263] Loss_D: -0.019403 Loss_G: -0.010908 Loss_D_real: -0.007034 Loss_D_fake 0.012369
[1301/5000][460/535][134264] Loss_D: -0.019884 Loss_G: 0.021624 Loss_D_real: -0.030445 Loss_D_fake -0.010562
[1301/5000][465/535][134265] Loss_D: -0.021252 Loss_G: -0.013231 Loss_D_real: -0.024732 Loss_D_fake -0.003481
[1301/5000][470/535][134266] Loss_D: -0.019970 Loss_G: -0.005597 Loss_D_real: -0.018586 Loss_D_fake 0.001383
[1301/5000][475/535][134267] Loss_D: -0.021425 Loss_G: 0.015353 Loss_D_real: -0.017660 Loss_D_fake 0.003765
[1301/5000][480/535][134268] Loss_D: -0.019003 Loss_G: -0.015129 Loss_D_real: 0.001882 Loss_D_fake 0.020886
[1301/5000][485/535][134269] Loss_D: -0.019909 Loss_G: 0.014010 Loss_D_real: -0.023216 Loss_D_fake -0.003307
[1301/5000][490/535][134270] Loss_D: -0.020331 Loss_G: 0.015513 Loss_D_real: -0.010517 Loss_D_fake 0.009814
[1301/5000][495/535][134271] Loss_D: -0.019650 Loss_G: 0.024587 Loss_D_real: -0.011428 Loss_D_fake 0.008222
[1301/5000][500/535][134272] Loss_D: -0.019540 Loss_G: 0.009663 Loss_D_real: -0.029763 Loss_D_fake -0.010224
[1301/5000][505/535][134273] Loss_D: -0.018818 Loss_G: -0.001859 Loss_D_real: -0.007970 Loss_D_fake 0.010848
[1301/5000][510/535][134274] Loss_D: -0.019523 Loss_G: -0.004826 Loss_D_real: 0.001577 Loss_D_fake 0.021100
[1301/5000][515/535][134275] Loss_D: -0.018532 Loss_G: -0.014880 Loss_D_real: -0.013873 Loss_D_fake 0.004658
[1301/5000][520/535][134276] Loss_D: -0.020415 Loss_G: 0.011691 Loss_D_real: -0.017364 Loss_D_fake 0.003051
[1301/5000][525/535][134277] Loss_D: -0.020443 Loss_G: 0.013316 Loss_D_real: -0.028958 Loss_D_fake -0.008515
[1301/5000][530/535][134278] Loss_D: -0.019231 Loss_G: -0.005119 Loss_D_real: 0.000623 Loss_D_fake 0.019854
[1301/5000][535/535][134279] Loss_D: -0.018429 Loss_G: -0.009504 Loss_D_real: -0.015894 Loss_D_fake 0.002535
[1302/5000][5/535][134280] Loss_D: -0.019435 Loss_G: -0.001420 Loss_D_real: -0.016888 Loss_D_fake 0.002547
[1302/5000][10/535][134281] Loss_D: -0.020371 Loss_G: 0.005742 Loss_D_real: -0.008352 Loss_D_fake 0.012018
[1302/5000][15/535][134282] Loss_D: -0.020014 Loss_G: -0.007708 Loss_D_real: -0.002727 Loss_D_fake 0.017287
[1302/5000][20/535][134283] Loss_D: -0.019305 Loss_G: 0.022708 Loss_D_real: -0.026321 Loss_D_fake -0.007016
[1302/5000][25/535][134284] Loss_D: -0.018753 Loss_G: -0.013314 Loss_D_real: -0.013793 Loss_D_fake 0.004960
[1302/5000][30/535][134285] Loss_D: -0.019047 Loss_G: 0.016856 Loss_D_real: -0.026506 Loss_D_fake -0.007459
[1302/5000][35/535][134286] Loss_D: -0.019668 Loss_G: 0.010341 Loss_D_real: -0.029850 Loss_D_fake -0.010182
[1302/5000][40/535][134287] Loss_D: -0.021151 Loss_G: 0.012809 Loss_D_real: -0.018294 Loss_D_fake 0.002857
[1302/5000][45/535][134288] Loss_D: -0.019016 Loss_G: 0.015408 Loss_D_real: -0.027480 Loss_D_fake -0.008465
[1302/5000][50/535][134289] Loss_D: -0.018899 Loss_G: -0.001009 Loss_D_real: -0.008136 Loss_D_fake 0.010763
[1302/5000][55/535][134290] Loss_D: -0.019430 Loss_G: 0.002296 Loss_D_real: -0.000452 Loss_D_fake 0.018978
[1302/5000][60/535][134291] Loss_D: -0.019976 Loss_G: 0.006688 Loss_D_real: -0.021629 Loss_D_fake -0.001653
[1302/5000][65/535][134292] Loss_D: -0.018533 Loss_G: 0.025443 Loss_D_real: -0.028484 Loss_D_fake -0.009951
[1302/5000][70/535][134293] Loss_D: -0.019479 Loss_G: -0.006355 Loss_D_real: -0.014949 Loss_D_fake 0.004530
[1302/5000][75/535][134294] Loss_D: -0.020471 Loss_G: -0.002640 Loss_D_real: 0.003964 Loss_D_fake 0.024434
[1302/5000][80/535][134295] Loss_D: -0.018976 Loss_G: 0.009466 Loss_D_real: -0.014797 Loss_D_fake 0.004178
[1302/5000][85/535][134296] Loss_D: -0.019612 Loss_G: 0.015268 Loss_D_real: -0.027905 Loss_D_fake -0.008294
[1302/5000][90/535][134297] Loss_D: -0.020420 Loss_G: 0.005182 Loss_D_real: -0.026165 Loss_D_fake -0.005745
[1302/5000][95/535][134298] Loss_D: -0.020486 Loss_G: 0.002607 Loss_D_real: -0.013881 Loss_D_fake 0.006605
[1302/5000][100/535][134299] Loss_D: -0.020328 Loss_G: 0.010412 Loss_D_real: -0.011419 Loss_D_fake 0.008908
[1302/5000][105/535][134300] Loss_D: -0.019480 Loss_G: -0.017126 Loss_D_real: -0.009672 Loss_D_fake 0.009808
[1302/5000][110/535][134301] Loss_D: -0.020716 Loss_G: 0.007587 Loss_D_real: -0.015341 Loss_D_fake 0.005374
[1302/5000][115/535][134302] Loss_D: -0.020305 Loss_G: 0.015308 Loss_D_real: -0.008734 Loss_D_fake 0.011571
[1302/5000][120/535][134303] Loss_D: -0.019174 Loss_G: -0.016262 Loss_D_real: -0.004151 Loss_D_fake 0.015023
[1302/5000][125/535][134304] Loss_D: -0.019556 Loss_G: 0.010321 Loss_D_real: -0.018461 Loss_D_fake 0.001094
[1302/5000][130/535][134305] Loss_D: -0.018102 Loss_G: -0.015068 Loss_D_real: -0.002261 Loss_D_fake 0.015841
[1302/5000][135/535][134306] Loss_D: -0.019899 Loss_G: 0.008174 Loss_D_real: -0.014712 Loss_D_fake 0.005187
[1302/5000][140/535][134307] Loss_D: -0.020191 Loss_G: -0.008026 Loss_D_real: -0.005525 Loss_D_fake 0.014666
[1302/5000][145/535][134308] Loss_D: -0.020024 Loss_G: 0.013465 Loss_D_real: -0.024495 Loss_D_fake -0.004470
[1302/5000][150/535][134309] Loss_D: -0.019183 Loss_G: 0.018689 Loss_D_real: -0.027863 Loss_D_fake -0.008679
[1302/5000][155/535][134310] Loss_D: -0.018927 Loss_G: 0.000857 Loss_D_real: -0.015995 Loss_D_fake 0.002931
[1302/5000][160/535][134311] Loss_D: -0.018538 Loss_G: 0.028754 Loss_D_real: -0.027294 Loss_D_fake -0.008756
[1302/5000][165/535][134312] Loss_D: -0.021594 Loss_G: 0.009794 Loss_D_real: -0.018249 Loss_D_fake 0.003345
[1302/5000][170/535][134313] Loss_D: -0.020968 Loss_G: 0.011312 Loss_D_real: -0.017432 Loss_D_fake 0.003536
[1302/5000][175/535][134314] Loss_D: -0.019923 Loss_G: 0.014933 Loss_D_real: -0.023178 Loss_D_fake -0.003255
[1302/5000][180/535][134315] Loss_D: -0.018739 Loss_G: 0.012643 Loss_D_real: -0.013089 Loss_D_fake 0.005650
[1302/5000][185/535][134316] Loss_D: -0.020376 Loss_G: -0.000161 Loss_D_real: -0.007687 Loss_D_fake 0.012688
[1302/5000][190/535][134317] Loss_D: -0.019000 Loss_G: 0.012893 Loss_D_real: -0.020851 Loss_D_fake -0.001851
[1302/5000][195/535][134318] Loss_D: -0.020246 Loss_G: 0.018432 Loss_D_real: -0.019622 Loss_D_fake 0.000624
[1302/5000][200/535][134319] Loss_D: -0.018835 Loss_G: 0.006812 Loss_D_real: -0.017464 Loss_D_fake 0.001371
[1302/5000][205/535][134320] Loss_D: -0.020770 Loss_G: 0.006561 Loss_D_real: -0.018656 Loss_D_fake 0.002114
[1302/5000][210/535][134321] Loss_D: -0.018189 Loss_G: 0.013858 Loss_D_real: -0.029539 Loss_D_fake -0.011350
[1302/5000][215/535][134322] Loss_D: -0.019570 Loss_G: 0.005660 Loss_D_real: -0.030149 Loss_D_fake -0.010579
[1302/5000][220/535][134323] Loss_D: -0.020624 Loss_G: -0.010976 Loss_D_real: -0.003652 Loss_D_fake 0.016972
[1302/5000][225/535][134324] Loss_D: -0.018996 Loss_G: 0.020993 Loss_D_real: -0.029168 Loss_D_fake -0.010172
[1302/5000][230/535][134325] Loss_D: -0.019861 Loss_G: 0.003857 Loss_D_real: -0.008108 Loss_D_fake 0.011753
[1302/5000][235/535][134326] Loss_D: -0.019579 Loss_G: 0.008899 Loss_D_real: -0.026761 Loss_D_fake -0.007182
[1302/5000][240/535][134327] Loss_D: -0.018267 Loss_G: -0.005503 Loss_D_real: -0.007089 Loss_D_fake 0.011178
[1302/5000][245/535][134328] Loss_D: -0.020383 Loss_G: 0.016183 Loss_D_real: -0.024922 Loss_D_fake -0.004538
[1302/5000][250/535][134329] Loss_D: -0.019067 Loss_G: 0.016523 Loss_D_real: -0.034720 Loss_D_fake -0.015653
[1302/5000][255/535][134330] Loss_D: -0.020028 Loss_G: 0.007296 Loss_D_real: -0.009701 Loss_D_fake 0.010326
[1302/5000][260/535][134331] Loss_D: -0.020192 Loss_G: 0.018204 Loss_D_real: -0.024421 Loss_D_fake -0.004228
[1302/5000][265/535][134332] Loss_D: -0.020609 Loss_G: 0.013200 Loss_D_real: -0.010076 Loss_D_fake 0.010533
[1302/5000][270/535][134333] Loss_D: -0.019299 Loss_G: 0.009404 Loss_D_real: -0.014274 Loss_D_fake 0.005025
[1302/5000][275/535][134334] Loss_D: -0.020447 Loss_G: 0.011932 Loss_D_real: -0.017227 Loss_D_fake 0.003221
[1302/5000][280/535][134335] Loss_D: -0.020629 Loss_G: -0.013738 Loss_D_real: -0.004441 Loss_D_fake 0.016187
[1302/5000][285/535][134336] Loss_D: -0.019259 Loss_G: 0.009066 Loss_D_real: -0.013800 Loss_D_fake 0.005459
[1302/5000][290/535][134337] Loss_D: -0.020599 Loss_G: -0.001164 Loss_D_real: 0.006627 Loss_D_fake 0.027225
[1302/5000][295/535][134338] Loss_D: -0.020822 Loss_G: 0.004032 Loss_D_real: -0.007368 Loss_D_fake 0.013454
[1302/5000][300/535][134339] Loss_D: -0.020324 Loss_G: -0.012852 Loss_D_real: -0.015582 Loss_D_fake 0.004742
[1302/5000][305/535][134340] Loss_D: -0.018852 Loss_G: -0.004166 Loss_D_real: -0.009892 Loss_D_fake 0.008960
[1302/5000][310/535][134341] Loss_D: -0.020570 Loss_G: -0.008975 Loss_D_real: -0.002546 Loss_D_fake 0.018024
[1302/5000][315/535][134342] Loss_D: -0.019936 Loss_G: 0.010498 Loss_D_real: -0.031313 Loss_D_fake -0.011377
[1302/5000][320/535][134343] Loss_D: -0.020553 Loss_G: 0.007726 Loss_D_real: -0.022451 Loss_D_fake -0.001898
[1302/5000][325/535][134344] Loss_D: -0.019803 Loss_G: 0.009436 Loss_D_real: -0.007139 Loss_D_fake 0.012665
[1302/5000][330/535][134345] Loss_D: -0.019393 Loss_G: 0.001081 Loss_D_real: -0.002733 Loss_D_fake 0.016660
[1302/5000][335/535][134346] Loss_D: -0.018858 Loss_G: 0.013861 Loss_D_real: -0.022916 Loss_D_fake -0.004058
[1302/5000][340/535][134347] Loss_D: -0.018844 Loss_G: 0.007795 Loss_D_real: -0.018934 Loss_D_fake -0.000090
[1302/5000][345/535][134348] Loss_D: -0.018997 Loss_G: 0.000391 Loss_D_real: -0.011339 Loss_D_fake 0.007657
[1302/5000][350/535][134349] Loss_D: -0.019492 Loss_G: 0.012489 Loss_D_real: -0.021066 Loss_D_fake -0.001573
[1302/5000][355/535][134350] Loss_D: -0.018803 Loss_G: -0.015457 Loss_D_real: 0.002474 Loss_D_fake 0.021277
[1302/5000][360/535][134351] Loss_D: -0.020859 Loss_G: 0.012349 Loss_D_real: -0.019603 Loss_D_fake 0.001257
[1302/5000][365/535][134352] Loss_D: -0.020236 Loss_G: -0.014260 Loss_D_real: -0.000886 Loss_D_fake 0.019350
[1302/5000][370/535][134353] Loss_D: -0.020520 Loss_G: 0.017818 Loss_D_real: -0.022794 Loss_D_fake -0.002274
[1302/5000][375/535][134354] Loss_D: -0.020265 Loss_G: 0.009931 Loss_D_real: -0.022750 Loss_D_fake -0.002486
[1302/5000][380/535][134355] Loss_D: -0.020917 Loss_G: 0.002229 Loss_D_real: -0.034631 Loss_D_fake -0.013714
[1302/5000][385/535][134356] Loss_D: -0.021468 Loss_G: -0.000290 Loss_D_real: -0.009518 Loss_D_fake 0.011949
[1302/5000][390/535][134357] Loss_D: -0.020722 Loss_G: 0.022384 Loss_D_real: -0.024060 Loss_D_fake -0.003337
[1302/5000][395/535][134358] Loss_D: -0.019705 Loss_G: 0.033558 Loss_D_real: -0.029850 Loss_D_fake -0.010145
[1302/5000][400/535][134359] Loss_D: -0.019944 Loss_G: 0.004892 Loss_D_real: -0.006771 Loss_D_fake 0.013174
[1302/5000][405/535][134360] Loss_D: -0.021013 Loss_G: -0.007588 Loss_D_real: -0.014758 Loss_D_fake 0.006255
[1302/5000][410/535][134361] Loss_D: -0.020691 Loss_G: 0.016315 Loss_D_real: -0.019467 Loss_D_fake 0.001224
[1302/5000][415/535][134362] Loss_D: -0.019964 Loss_G: -0.009630 Loss_D_real: -0.002950 Loss_D_fake 0.017013
[1302/5000][420/535][134363] Loss_D: -0.019230 Loss_G: 0.002009 Loss_D_real: -0.011256 Loss_D_fake 0.007975
[1302/5000][425/535][134364] Loss_D: -0.019522 Loss_G: 0.005669 Loss_D_real: -0.020286 Loss_D_fake -0.000764
[1302/5000][430/535][134365] Loss_D: -0.019173 Loss_G: 0.009591 Loss_D_real: -0.016340 Loss_D_fake 0.002833
[1302/5000][435/535][134366] Loss_D: -0.020397 Loss_G: 0.020437 Loss_D_real: -0.023187 Loss_D_fake -0.002790
[1302/5000][440/535][134367] Loss_D: -0.018032 Loss_G: -0.020656 Loss_D_real: -0.008339 Loss_D_fake 0.009693
[1302/5000][445/535][134368] Loss_D: -0.018343 Loss_G: 0.001152 Loss_D_real: 0.000139 Loss_D_fake 0.018481
[1302/5000][450/535][134369] Loss_D: -0.018801 Loss_G: 0.005360 Loss_D_real: -0.005279 Loss_D_fake 0.013522
[1302/5000][455/535][134370] Loss_D: -0.019790 Loss_G: 0.025486 Loss_D_real: -0.027378 Loss_D_fake -0.007588
[1302/5000][460/535][134371] Loss_D: -0.020767 Loss_G: 0.021778 Loss_D_real: -0.011100 Loss_D_fake 0.009667
[1302/5000][465/535][134372] Loss_D: -0.018882 Loss_G: -0.011334 Loss_D_real: -0.018156 Loss_D_fake 0.000726
[1302/5000][470/535][134373] Loss_D: -0.019589 Loss_G: 0.005081 Loss_D_real: 0.001924 Loss_D_fake 0.021513
[1302/5000][475/535][134374] Loss_D: -0.019264 Loss_G: 0.005955 Loss_D_real: -0.004942 Loss_D_fake 0.014322
[1302/5000][480/535][134375] Loss_D: -0.020002 Loss_G: 0.007299 Loss_D_real: -0.018161 Loss_D_fake 0.001841
[1302/5000][485/535][134376] Loss_D: -0.019645 Loss_G: 0.008784 Loss_D_real: -0.027118 Loss_D_fake -0.007472
[1302/5000][490/535][134377] Loss_D: -0.020681 Loss_G: 0.002632 Loss_D_real: -0.005473 Loss_D_fake 0.015208
[1302/5000][495/535][134378] Loss_D: -0.019939 Loss_G: 0.000551 Loss_D_real: -0.012566 Loss_D_fake 0.007374
[1302/5000][500/535][134379] Loss_D: -0.020997 Loss_G: -0.015601 Loss_D_real: -0.001210 Loss_D_fake 0.019787
[1302/5000][505/535][134380] Loss_D: -0.017240 Loss_G: 0.000640 Loss_D_real: -0.011154 Loss_D_fake 0.006086
[1302/5000][510/535][134381] Loss_D: -0.018658 Loss_G: 0.005997 Loss_D_real: -0.020559 Loss_D_fake -0.001901
[1302/5000][515/535][134382] Loss_D: -0.019204 Loss_G: 0.009529 Loss_D_real: -0.027586 Loss_D_fake -0.008381
[1302/5000][520/535][134383] Loss_D: -0.020380 Loss_G: -0.003746 Loss_D_real: 0.000601 Loss_D_fake 0.020981
[1302/5000][525/535][134384] Loss_D: -0.019966 Loss_G: -0.000004 Loss_D_real: -0.010097 Loss_D_fake 0.009869
[1302/5000][530/535][134385] Loss_D: -0.019818 Loss_G: -0.003788 Loss_D_real: 0.000518 Loss_D_fake 0.020336
[1302/5000][535/535][134386] Loss_D: -0.017648 Loss_G: -0.037992 Loss_D_real: -0.010937 Loss_D_fake 0.006712
[1303/5000][5/535][134387] Loss_D: -0.019178 Loss_G: 0.011990 Loss_D_real: -0.020197 Loss_D_fake -0.001019
[1303/5000][10/535][134388] Loss_D: -0.019950 Loss_G: 0.006669 Loss_D_real: -0.014103 Loss_D_fake 0.005847
[1303/5000][15/535][134389] Loss_D: -0.019293 Loss_G: 0.028513 Loss_D_real: -0.024739 Loss_D_fake -0.005446
[1303/5000][20/535][134390] Loss_D: -0.019673 Loss_G: -0.012954 Loss_D_real: -0.006176 Loss_D_fake 0.013497
[1303/5000][25/535][134391] Loss_D: -0.019614 Loss_G: 0.007211 Loss_D_real: -0.024453 Loss_D_fake -0.004838
[1303/5000][30/535][134392] Loss_D: -0.020339 Loss_G: -0.001059 Loss_D_real: -0.009380 Loss_D_fake 0.010959
[1303/5000][35/535][134393] Loss_D: -0.020283 Loss_G: 0.007279 Loss_D_real: -0.013246 Loss_D_fake 0.007037
[1303/5000][40/535][134394] Loss_D: -0.021343 Loss_G: 0.005151 Loss_D_real: -0.011014 Loss_D_fake 0.010329
[1303/5000][45/535][134395] Loss_D: -0.019888 Loss_G: 0.013090 Loss_D_real: -0.022587 Loss_D_fake -0.002698
[1303/5000][50/535][134396] Loss_D: -0.019861 Loss_G: 0.020281 Loss_D_real: -0.031011 Loss_D_fake -0.011151
[1303/5000][55/535][134397] Loss_D: -0.020725 Loss_G: 0.007697 Loss_D_real: -0.025736 Loss_D_fake -0.005011
[1303/5000][60/535][134398] Loss_D: -0.020237 Loss_G: 0.010635 Loss_D_real: -0.013601 Loss_D_fake 0.006635
[1303/5000][65/535][134399] Loss_D: -0.020576 Loss_G: 0.001818 Loss_D_real: -0.014567 Loss_D_fake 0.006009
[1303/5000][70/535][134400] Loss_D: -0.019316 Loss_G: -0.004789 Loss_D_real: -0.001237 Loss_D_fake 0.018079
[1303/5000][75/535][134401] Loss_D: -0.020616 Loss_G: -0.001041 Loss_D_real: -0.007859 Loss_D_fake 0.012758
[1303/5000][80/535][134402] Loss_D: -0.019809 Loss_G: 0.004349 Loss_D_real: -0.008435 Loss_D_fake 0.011374
[1303/5000][85/535][134403] Loss_D: -0.020866 Loss_G: 0.010281 Loss_D_real: -0.023977 Loss_D_fake -0.003111
[1303/5000][90/535][134404] Loss_D: -0.019818 Loss_G: 0.000419 Loss_D_real: -0.009609 Loss_D_fake 0.010209
[1303/5000][95/535][134405] Loss_D: -0.019525 Loss_G: -0.011263 Loss_D_real: -0.003450 Loss_D_fake 0.016076
[1303/5000][100/535][134406] Loss_D: -0.017181 Loss_G: -0.018616 Loss_D_real: 0.006394 Loss_D_fake 0.023575
[1303/5000][105/535][134407] Loss_D: -0.018122 Loss_G: 0.018152 Loss_D_real: -0.034495 Loss_D_fake -0.016373
[1303/5000][110/535][134408] Loss_D: -0.020224 Loss_G: 0.006842 Loss_D_real: -0.004688 Loss_D_fake 0.015537
[1303/5000][115/535][134409] Loss_D: -0.019611 Loss_G: 0.011662 Loss_D_real: -0.021202 Loss_D_fake -0.001590
[1303/5000][120/535][134410] Loss_D: -0.019778 Loss_G: -0.000179 Loss_D_real: -0.006970 Loss_D_fake 0.012808
[1303/5000][125/535][134411] Loss_D: -0.019532 Loss_G: -0.001482 Loss_D_real: -0.006755 Loss_D_fake 0.012777
[1303/5000][130/535][134412] Loss_D: -0.019481 Loss_G: -0.002414 Loss_D_real: -0.016116 Loss_D_fake 0.003365
[1303/5000][135/535][134413] Loss_D: -0.020468 Loss_G: 0.006946 Loss_D_real: -0.028691 Loss_D_fake -0.008223
[1303/5000][140/535][134414] Loss_D: -0.017978 Loss_G: -0.023894 Loss_D_real: -0.005352 Loss_D_fake 0.012626
[1303/5000][145/535][134415] Loss_D: -0.018219 Loss_G: 0.017862 Loss_D_real: -0.021708 Loss_D_fake -0.003489
[1303/5000][150/535][134416] Loss_D: -0.020117 Loss_G: -0.007788 Loss_D_real: -0.011112 Loss_D_fake 0.009005
[1303/5000][155/535][134417] Loss_D: -0.018524 Loss_G: 0.013766 Loss_D_real: -0.024820 Loss_D_fake -0.006295
[1303/5000][160/535][134418] Loss_D: -0.018540 Loss_G: 0.001340 Loss_D_real: -0.027867 Loss_D_fake -0.009327
[1303/5000][165/535][134419] Loss_D: -0.020289 Loss_G: 0.000971 Loss_D_real: -0.018044 Loss_D_fake 0.002245
[1303/5000][170/535][134420] Loss_D: -0.019844 Loss_G: 0.003891 Loss_D_real: -0.013102 Loss_D_fake 0.006742
[1303/5000][175/535][134421] Loss_D: -0.019036 Loss_G: 0.022018 Loss_D_real: -0.026871 Loss_D_fake -0.007836
[1303/5000][180/535][134422] Loss_D: -0.019544 Loss_G: -0.002139 Loss_D_real: -0.019675 Loss_D_fake -0.000130
[1303/5000][185/535][134423] Loss_D: -0.019429 Loss_G: 0.012687 Loss_D_real: -0.025473 Loss_D_fake -0.006044
[1303/5000][190/535][134424] Loss_D: -0.020380 Loss_G: -0.017731 Loss_D_real: -0.005902 Loss_D_fake 0.014479
[1303/5000][195/535][134425] Loss_D: -0.019313 Loss_G: 0.027979 Loss_D_real: -0.023751 Loss_D_fake -0.004437
[1303/5000][200/535][134426] Loss_D: -0.019625 Loss_G: 0.003427 Loss_D_real: -0.012789 Loss_D_fake 0.006836
[1303/5000][205/535][134427] Loss_D: -0.020042 Loss_G: 0.000090 Loss_D_real: -0.032588 Loss_D_fake -0.012546
[1303/5000][210/535][134428] Loss_D: -0.020250 Loss_G: 0.011357 Loss_D_real: -0.017884 Loss_D_fake 0.002366
[1303/5000][215/535][134429] Loss_D: -0.020380 Loss_G: 0.023391 Loss_D_real: -0.019118 Loss_D_fake 0.001262
[1303/5000][220/535][134430] Loss_D: -0.019817 Loss_G: 0.004468 Loss_D_real: -0.005099 Loss_D_fake 0.014718
[1303/5000][225/535][134431] Loss_D: -0.020063 Loss_G: 0.020045 Loss_D_real: -0.033319 Loss_D_fake -0.013256
[1303/5000][230/535][134432] Loss_D: -0.020420 Loss_G: -0.001314 Loss_D_real: -0.001627 Loss_D_fake 0.018793
[1303/5000][235/535][134433] Loss_D: -0.020504 Loss_G: 0.012759 Loss_D_real: -0.007714 Loss_D_fake 0.012789
[1303/5000][240/535][134434] Loss_D: -0.020531 Loss_G: 0.006183 Loss_D_real: -0.009739 Loss_D_fake 0.010792
[1303/5000][245/535][134435] Loss_D: -0.020147 Loss_G: 0.008646 Loss_D_real: -0.026108 Loss_D_fake -0.005961
[1303/5000][250/535][134436] Loss_D: -0.019680 Loss_G: 0.020601 Loss_D_real: -0.028635 Loss_D_fake -0.008955
[1303/5000][255/535][134437] Loss_D: -0.020985 Loss_G: -0.005800 Loss_D_real: -0.022788 Loss_D_fake -0.001804
[1303/5000][260/535][134438] Loss_D: -0.019240 Loss_G: 0.004135 Loss_D_real: -0.012677 Loss_D_fake 0.006562
[1303/5000][265/535][134439] Loss_D: -0.018899 Loss_G: 0.021443 Loss_D_real: -0.018121 Loss_D_fake 0.000777
[1303/5000][270/535][134440] Loss_D: -0.019858 Loss_G: 0.015536 Loss_D_real: -0.022767 Loss_D_fake -0.002908
[1303/5000][275/535][134441] Loss_D: -0.021778 Loss_G: -0.002443 Loss_D_real: -0.011135 Loss_D_fake 0.010642
[1303/5000][280/535][134442] Loss_D: -0.020611 Loss_G: 0.008102 Loss_D_real: -0.012433 Loss_D_fake 0.008178
[1303/5000][285/535][134443] Loss_D: -0.019708 Loss_G: 0.015088 Loss_D_real: -0.027282 Loss_D_fake -0.007574
[1303/5000][290/535][134444] Loss_D: -0.020319 Loss_G: 0.008814 Loss_D_real: -0.013629 Loss_D_fake 0.006690
[1303/5000][295/535][134445] Loss_D: -0.020803 Loss_G: 0.003332 Loss_D_real: -0.030965 Loss_D_fake -0.010162
[1303/5000][300/535][134446] Loss_D: -0.019543 Loss_G: 0.004146 Loss_D_real: -0.012065 Loss_D_fake 0.007479
[1303/5000][305/535][134447] Loss_D: -0.019948 Loss_G: -0.006942 Loss_D_real: -0.004092 Loss_D_fake 0.015856
[1303/5000][310/535][134448] Loss_D: -0.019689 Loss_G: 0.019849 Loss_D_real: -0.033468 Loss_D_fake -0.013779
[1303/5000][315/535][134449] Loss_D: -0.018575 Loss_G: 0.024409 Loss_D_real: -0.021855 Loss_D_fake -0.003280
[1303/5000][320/535][134450] Loss_D: -0.020618 Loss_G: 0.001016 Loss_D_real: -0.020808 Loss_D_fake -0.000190
[1303/5000][325/535][134451] Loss_D: -0.019157 Loss_G: -0.001980 Loss_D_real: -0.019943 Loss_D_fake -0.000786
[1303/5000][330/535][134452] Loss_D: -0.019629 Loss_G: 0.010461 Loss_D_real: -0.014293 Loss_D_fake 0.005337
[1303/5000][335/535][134453] Loss_D: -0.020156 Loss_G: -0.006772 Loss_D_real: -0.017097 Loss_D_fake 0.003059
[1303/5000][340/535][134454] Loss_D: -0.020066 Loss_G: 0.002857 Loss_D_real: -0.006965 Loss_D_fake 0.013101
[1303/5000][345/535][134455] Loss_D: -0.019646 Loss_G: 0.021354 Loss_D_real: -0.024916 Loss_D_fake -0.005270
[1303/5000][350/535][134456] Loss_D: -0.019147 Loss_G: 0.007455 Loss_D_real: -0.025821 Loss_D_fake -0.006674
[1303/5000][355/535][134457] Loss_D: -0.020154 Loss_G: 0.001916 Loss_D_real: -0.013400 Loss_D_fake 0.006754
[1303/5000][360/535][134458] Loss_D: -0.019277 Loss_G: 0.008139 Loss_D_real: -0.018804 Loss_D_fake 0.000473
[1303/5000][365/535][134459] Loss_D: -0.019993 Loss_G: 0.017549 Loss_D_real: -0.025045 Loss_D_fake -0.005052
[1303/5000][370/535][134460] Loss_D: -0.020912 Loss_G: 0.008615 Loss_D_real: -0.007142 Loss_D_fake 0.013770
[1303/5000][375/535][134461] Loss_D: -0.020859 Loss_G: 0.017199 Loss_D_real: -0.029825 Loss_D_fake -0.008966
[1303/5000][380/535][134462] Loss_D: -0.020204 Loss_G: 0.005010 Loss_D_real: -0.008933 Loss_D_fake 0.011271
[1303/5000][385/535][134463] Loss_D: -0.020897 Loss_G: -0.002193 Loss_D_real: -0.005798 Loss_D_fake 0.015098
[1303/5000][390/535][134464] Loss_D: -0.019990 Loss_G: 0.008169 Loss_D_real: -0.028142 Loss_D_fake -0.008152
[1303/5000][395/535][134465] Loss_D: -0.019116 Loss_G: -0.025147 Loss_D_real: -0.004309 Loss_D_fake 0.014807
[1303/5000][400/535][134466] Loss_D: -0.019277 Loss_G: 0.013408 Loss_D_real: -0.014930 Loss_D_fake 0.004346
[1303/5000][405/535][134467] Loss_D: -0.018746 Loss_G: 0.019670 Loss_D_real: -0.028079 Loss_D_fake -0.009333
[1303/5000][410/535][134468] Loss_D: -0.019870 Loss_G: 0.003939 Loss_D_real: -0.027663 Loss_D_fake -0.007792
[1303/5000][415/535][134469] Loss_D: -0.021329 Loss_G: 0.014155 Loss_D_real: -0.020216 Loss_D_fake 0.001113
[1303/5000][420/535][134470] Loss_D: -0.019772 Loss_G: 0.003476 Loss_D_real: -0.006699 Loss_D_fake 0.013074
[1303/5000][425/535][134471] Loss_D: -0.018850 Loss_G: -0.016259 Loss_D_real: -0.000902 Loss_D_fake 0.017948
[1303/5000][430/535][134472] Loss_D: -0.019398 Loss_G: 0.001068 Loss_D_real: -0.029080 Loss_D_fake -0.009682
[1303/5000][435/535][134473] Loss_D: -0.019015 Loss_G: -0.010586 Loss_D_real: 0.003421 Loss_D_fake 0.022435
[1303/5000][440/535][134474] Loss_D: -0.020210 Loss_G: 0.013661 Loss_D_real: -0.016037 Loss_D_fake 0.004173
[1303/5000][445/535][134475] Loss_D: -0.019042 Loss_G: -0.000689 Loss_D_real: -0.025382 Loss_D_fake -0.006341
[1303/5000][450/535][134476] Loss_D: -0.020022 Loss_G: 0.006482 Loss_D_real: -0.003132 Loss_D_fake 0.016891
[1303/5000][455/535][134477] Loss_D: -0.020771 Loss_G: 0.002700 Loss_D_real: -0.008243 Loss_D_fake 0.012528
[1303/5000][460/535][134478] Loss_D: -0.020782 Loss_G: 0.014314 Loss_D_real: -0.003950 Loss_D_fake 0.016832
[1303/5000][465/535][134479] Loss_D: -0.019343 Loss_G: 0.007711 Loss_D_real: -0.015341 Loss_D_fake 0.004002
[1303/5000][470/535][134480] Loss_D: -0.020231 Loss_G: 0.021512 Loss_D_real: -0.014096 Loss_D_fake 0.006135
[1303/5000][475/535][134481] Loss_D: -0.019837 Loss_G: -0.000355 Loss_D_real: -0.023397 Loss_D_fake -0.003560
[1303/5000][480/535][134482] Loss_D: -0.019749 Loss_G: 0.005315 Loss_D_real: -0.024786 Loss_D_fake -0.005037
[1303/5000][485/535][134483] Loss_D: -0.019980 Loss_G: 0.010464 Loss_D_real: -0.032913 Loss_D_fake -0.012933
[1303/5000][490/535][134484] Loss_D: -0.019734 Loss_G: 0.006995 Loss_D_real: -0.015648 Loss_D_fake 0.004086
[1303/5000][495/535][134485] Loss_D: -0.020411 Loss_G: 0.015149 Loss_D_real: -0.018666 Loss_D_fake 0.001745
[1303/5000][500/535][134486] Loss_D: -0.019499 Loss_G: 0.004454 Loss_D_real: 0.001186 Loss_D_fake 0.020685
[1303/5000][505/535][134487] Loss_D: -0.019824 Loss_G: 0.006186 Loss_D_real: -0.027468 Loss_D_fake -0.007644
[1303/5000][510/535][134488] Loss_D: -0.020001 Loss_G: 0.010734 Loss_D_real: -0.009276 Loss_D_fake 0.010725
[1303/5000][515/535][134489] Loss_D: -0.020101 Loss_G: 0.004763 Loss_D_real: -0.014434 Loss_D_fake 0.005667
[1303/5000][520/535][134490] Loss_D: -0.020056 Loss_G: 0.008988 Loss_D_real: -0.014587 Loss_D_fake 0.005469
[1303/5000][525/535][134491] Loss_D: -0.019674 Loss_G: 0.001755 Loss_D_real: -0.026963 Loss_D_fake -0.007289
[1303/5000][530/535][134492] Loss_D: -0.019427 Loss_G: -0.006756 Loss_D_real: -0.005726 Loss_D_fake 0.013701
[1303/5000][535/535][134493] Loss_D: -0.023110 Loss_G: 0.031183 Loss_D_real: -0.021123 Loss_D_fake 0.001986
[1304/5000][5/535][134494] Loss_D: -0.020152 Loss_G: 0.007746 Loss_D_real: -0.027925 Loss_D_fake -0.007773
[1304/5000][10/535][134495] Loss_D: -0.018408 Loss_G: 0.007658 Loss_D_real: -0.008998 Loss_D_fake 0.009410
[1304/5000][15/535][134496] Loss_D: -0.019809 Loss_G: -0.013053 Loss_D_real: 0.001961 Loss_D_fake 0.021769
[1304/5000][20/535][134497] Loss_D: -0.018832 Loss_G: 0.004047 Loss_D_real: -0.020358 Loss_D_fake -0.001526
[1304/5000][25/535][134498] Loss_D: -0.019715 Loss_G: 0.004684 Loss_D_real: -0.010269 Loss_D_fake 0.009446
[1304/5000][30/535][134499] Loss_D: -0.019392 Loss_G: 0.012955 Loss_D_real: -0.019751 Loss_D_fake -0.000359
[1304/5000][35/535][134500] Loss_D: -0.020128 Loss_G: 0.016571 Loss_D_real: -0.029065 Loss_D_fake -0.008937
[1304/5000][135/535][134501] Loss_D: -0.024041 Loss_G: 0.018708 Loss_D_real: -0.028376 Loss_D_fake -0.004335
[1304/5000][140/535][134502] Loss_D: -0.019086 Loss_G: 0.027388 Loss_D_real: -0.027467 Loss_D_fake -0.008381
[1304/5000][145/535][134503] Loss_D: -0.019414 Loss_G: -0.001098 Loss_D_real: -0.022754 Loss_D_fake -0.003340
[1304/5000][150/535][134504] Loss_D: -0.018366 Loss_G: 0.002844 Loss_D_real: -0.011476 Loss_D_fake 0.006890
[1304/5000][155/535][134505] Loss_D: -0.017789 Loss_G: 0.000885 Loss_D_real: -0.012735 Loss_D_fake 0.005054
[1304/5000][160/535][134506] Loss_D: -0.019400 Loss_G: 0.008698 Loss_D_real: -0.014419 Loss_D_fake 0.004981
[1304/5000][165/535][134507] Loss_D: -0.019041 Loss_G: 0.003736 Loss_D_real: -0.025128 Loss_D_fake -0.006087
[1304/5000][170/535][134508] Loss_D: -0.018027 Loss_G: 0.015369 Loss_D_real: -0.019346 Loss_D_fake -0.001319
[1304/5000][175/535][134509] Loss_D: -0.018411 Loss_G: -0.005772 Loss_D_real: -0.006750 Loss_D_fake 0.011661
[1304/5000][180/535][134510] Loss_D: -0.018818 Loss_G: -0.002258 Loss_D_real: -0.010183 Loss_D_fake 0.008635
[1304/5000][185/535][134511] Loss_D: -0.017291 Loss_G: 0.005940 Loss_D_real: -0.016883 Loss_D_fake 0.000408
[1304/5000][190/535][134512] Loss_D: -0.016017 Loss_G: -0.007149 Loss_D_real: -0.003310 Loss_D_fake 0.012706
[1304/5000][195/535][134513] Loss_D: -0.019393 Loss_G: 0.011328 Loss_D_real: -0.011547 Loss_D_fake 0.007847
[1304/5000][200/535][134514] Loss_D: -0.018962 Loss_G: 0.009119 Loss_D_real: -0.011699 Loss_D_fake 0.007263
[1304/5000][205/535][134515] Loss_D: -0.019394 Loss_G: 0.005895 Loss_D_real: -0.014665 Loss_D_fake 0.004729
[1304/5000][210/535][134516] Loss_D: -0.019375 Loss_G: 0.018617 Loss_D_real: -0.023532 Loss_D_fake -0.004157
[1304/5000][215/535][134517] Loss_D: -0.019861 Loss_G: -0.001463 Loss_D_real: -0.010147 Loss_D_fake 0.009714
[1304/5000][220/535][134518] Loss_D: -0.018793 Loss_G: -0.003572 Loss_D_real: -0.011923 Loss_D_fake 0.006870
[1304/5000][225/535][134519] Loss_D: -0.020182 Loss_G: 0.021047 Loss_D_real: -0.019562 Loss_D_fake 0.000619
[1304/5000][230/535][134520] Loss_D: -0.018422 Loss_G: 0.021654 Loss_D_real: -0.025151 Loss_D_fake -0.006730
[1304/5000][235/535][134521] Loss_D: -0.018848 Loss_G: -0.005149 Loss_D_real: -0.013261 Loss_D_fake 0.005588
[1304/5000][240/535][134522] Loss_D: -0.020239 Loss_G: 0.009406 Loss_D_real: -0.017379 Loss_D_fake 0.002860
[1304/5000][245/535][134523] Loss_D: -0.020362 Loss_G: 0.018675 Loss_D_real: -0.022949 Loss_D_fake -0.002587
[1304/5000][250/535][134524] Loss_D: -0.020853 Loss_G: -0.001571 Loss_D_real: -0.015490 Loss_D_fake 0.005364
[1304/5000][255/535][134525] Loss_D: -0.019121 Loss_G: -0.016964 Loss_D_real: 0.001484 Loss_D_fake 0.020605
[1304/5000][260/535][134526] Loss_D: -0.019317 Loss_G: 0.022504 Loss_D_real: -0.020214 Loss_D_fake -0.000897
[1304/5000][265/535][134527] Loss_D: -0.018050 Loss_G: -0.008468 Loss_D_real: -0.012607 Loss_D_fake 0.005443
[1304/5000][270/535][134528] Loss_D: -0.019616 Loss_G: 0.011815 Loss_D_real: -0.016568 Loss_D_fake 0.003048
[1304/5000][275/535][134529] Loss_D: -0.019556 Loss_G: -0.017623 Loss_D_real: -0.004098 Loss_D_fake 0.015458
[1304/5000][280/535][134530] Loss_D: -0.020974 Loss_G: 0.016573 Loss_D_real: -0.018492 Loss_D_fake 0.002482
[1304/5000][285/535][134531] Loss_D: -0.020897 Loss_G: 0.014798 Loss_D_real: -0.022081 Loss_D_fake -0.001184
[1304/5000][290/535][134532] Loss_D: -0.020112 Loss_G: 0.009124 Loss_D_real: -0.014674 Loss_D_fake 0.005438
[1304/5000][295/535][134533] Loss_D: -0.020558 Loss_G: -0.001459 Loss_D_real: -0.018035 Loss_D_fake 0.002523
[1304/5000][300/535][134534] Loss_D: -0.018836 Loss_G: 0.021122 Loss_D_real: -0.024799 Loss_D_fake -0.005963
[1304/5000][305/535][134535] Loss_D: -0.019540 Loss_G: 0.001838 Loss_D_real: -0.014327 Loss_D_fake 0.005213
[1304/5000][310/535][134536] Loss_D: -0.020002 Loss_G: -0.005477 Loss_D_real: 0.000188 Loss_D_fake 0.020191
[1304/5000][315/535][134537] Loss_D: -0.020786 Loss_G: 0.002456 Loss_D_real: -0.000326 Loss_D_fake 0.020460
[1304/5000][320/535][134538] Loss_D: -0.018940 Loss_G: 0.001800 Loss_D_real: -0.014449 Loss_D_fake 0.004491
[1304/5000][325/535][134539] Loss_D: -0.019777 Loss_G: 0.000370 Loss_D_real: -0.021954 Loss_D_fake -0.002177
[1304/5000][330/535][134540] Loss_D: -0.019033 Loss_G: 0.010449 Loss_D_real: -0.020301 Loss_D_fake -0.001268
[1304/5000][335/535][134541] Loss_D: -0.020314 Loss_G: -0.003338 Loss_D_real: -0.012388 Loss_D_fake 0.007926
[1304/5000][340/535][134542] Loss_D: -0.019140 Loss_G: -0.000945 Loss_D_real: -0.012490 Loss_D_fake 0.006651
[1304/5000][345/535][134543] Loss_D: -0.020010 Loss_G: 0.018574 Loss_D_real: -0.023720 Loss_D_fake -0.003710
[1304/5000][350/535][134544] Loss_D: -0.019504 Loss_G: -0.013315 Loss_D_real: -0.002920 Loss_D_fake 0.016584
[1304/5000][355/535][134545] Loss_D: -0.020236 Loss_G: 0.008934 Loss_D_real: -0.014142 Loss_D_fake 0.006094
[1304/5000][360/535][134546] Loss_D: -0.018251 Loss_G: 0.014484 Loss_D_real: -0.025267 Loss_D_fake -0.007016
[1304/5000][365/535][134547] Loss_D: -0.020352 Loss_G: 0.009163 Loss_D_real: -0.026026 Loss_D_fake -0.005674
[1304/5000][370/535][134548] Loss_D: -0.019787 Loss_G: 0.016238 Loss_D_real: -0.024683 Loss_D_fake -0.004896
[1304/5000][375/535][134549] Loss_D: -0.022135 Loss_G: 0.005357 Loss_D_real: -0.014264 Loss_D_fake 0.007871
[1304/5000][380/535][134550] Loss_D: -0.020606 Loss_G: -0.005752 Loss_D_real: -0.010010 Loss_D_fake 0.010596
[1304/5000][385/535][134551] Loss_D: -0.019518 Loss_G: 0.019482 Loss_D_real: -0.028542 Loss_D_fake -0.009024
[1304/5000][390/535][134552] Loss_D: -0.020186 Loss_G: -0.010020 Loss_D_real: -0.009021 Loss_D_fake 0.011164
[1304/5000][395/535][134553] Loss_D: -0.020226 Loss_G: 0.028349 Loss_D_real: -0.023394 Loss_D_fake -0.003167
[1304/5000][400/535][134554] Loss_D: -0.019913 Loss_G: -0.010661 Loss_D_real: -0.005652 Loss_D_fake 0.014261
[1304/5000][405/535][134555] Loss_D: -0.020068 Loss_G: -0.016397 Loss_D_real: -0.001470 Loss_D_fake 0.018598
[1304/5000][410/535][134556] Loss_D: -0.020230 Loss_G: 0.025458 Loss_D_real: -0.026580 Loss_D_fake -0.006350
[1304/5000][415/535][134557] Loss_D: -0.019354 Loss_G: 0.018751 Loss_D_real: -0.014896 Loss_D_fake 0.004458
[1304/5000][420/535][134558] Loss_D: -0.019913 Loss_G: 0.001476 Loss_D_real: -0.010977 Loss_D_fake 0.008935
[1304/5000][425/535][134559] Loss_D: -0.020395 Loss_G: 0.007389 Loss_D_real: -0.011478 Loss_D_fake 0.008917
[1304/5000][430/535][134560] Loss_D: -0.019189 Loss_G: 0.015725 Loss_D_real: -0.020346 Loss_D_fake -0.001157
[1304/5000][435/535][134561] Loss_D: -0.020283 Loss_G: -0.010159 Loss_D_real: -0.005830 Loss_D_fake 0.014453
[1304/5000][440/535][134562] Loss_D: -0.019567 Loss_G: 0.010681 Loss_D_real: -0.011186 Loss_D_fake 0.008381
[1304/5000][445/535][134563] Loss_D: -0.019778 Loss_G: 0.013210 Loss_D_real: -0.038353 Loss_D_fake -0.018575
[1304/5000][450/535][134564] Loss_D: -0.019627 Loss_G: -0.008168 Loss_D_real: -0.005656 Loss_D_fake 0.013971
[1304/5000][455/535][134565] Loss_D: -0.020015 Loss_G: -0.003141 Loss_D_real: -0.014489 Loss_D_fake 0.005525
[1304/5000][460/535][134566] Loss_D: -0.019845 Loss_G: 0.014454 Loss_D_real: -0.029101 Loss_D_fake -0.009256
[1304/5000][465/535][134567] Loss_D: -0.020024 Loss_G: 0.006684 Loss_D_real: -0.006641 Loss_D_fake 0.013383
[1304/5000][470/535][134568] Loss_D: -0.018728 Loss_G: 0.005425 Loss_D_real: 0.001646 Loss_D_fake 0.020374
[1304/5000][475/535][134569] Loss_D: -0.019778 Loss_G: 0.007010 Loss_D_real: -0.020170 Loss_D_fake -0.000393
[1304/5000][480/535][134570] Loss_D: -0.020694 Loss_G: -0.006921 Loss_D_real: -0.017929 Loss_D_fake 0.002765
[1304/5000][485/535][134571] Loss_D: -0.019025 Loss_G: 0.014570 Loss_D_real: -0.023354 Loss_D_fake -0.004329
[1304/5000][490/535][134572] Loss_D: -0.019167 Loss_G: 0.013378 Loss_D_real: -0.023664 Loss_D_fake -0.004497
[1304/5000][495/535][134573] Loss_D: -0.020930 Loss_G: -0.001995 Loss_D_real: -0.013387 Loss_D_fake 0.007544
[1304/5000][500/535][134574] Loss_D: -0.021668 Loss_G: 0.010135 Loss_D_real: -0.005811 Loss_D_fake 0.015856
[1304/5000][505/535][134575] Loss_D: -0.018808 Loss_G: 0.011140 Loss_D_real: -0.012201 Loss_D_fake 0.006607
[1304/5000][510/535][134576] Loss_D: -0.020242 Loss_G: 0.008818 Loss_D_real: -0.004913 Loss_D_fake 0.015329
[1304/5000][515/535][134577] Loss_D: -0.020437 Loss_G: 0.014504 Loss_D_real: -0.015331 Loss_D_fake 0.005107
[1304/5000][520/535][134578] Loss_D: -0.020426 Loss_G: 0.005039 Loss_D_real: -0.007037 Loss_D_fake 0.013390
[1304/5000][525/535][134579] Loss_D: -0.020025 Loss_G: 0.012176 Loss_D_real: -0.027926 Loss_D_fake -0.007901
[1304/5000][530/535][134580] Loss_D: -0.019768 Loss_G: -0.020270 Loss_D_real: 0.000528 Loss_D_fake 0.020296
[1304/5000][535/535][134581] Loss_D: -0.020029 Loss_G: 0.034827 Loss_D_real: -0.029362 Loss_D_fake -0.009333
[1305/5000][5/535][134582] Loss_D: -0.019419 Loss_G: 0.001534 Loss_D_real: -0.017576 Loss_D_fake 0.001843
[1305/5000][10/535][134583] Loss_D: -0.019498 Loss_G: 0.000755 Loss_D_real: -0.007358 Loss_D_fake 0.012140
[1305/5000][15/535][134584] Loss_D: -0.020381 Loss_G: 0.011751 Loss_D_real: -0.008248 Loss_D_fake 0.012133
[1305/5000][20/535][134585] Loss_D: -0.017770 Loss_G: -0.005294 Loss_D_real: 0.002263 Loss_D_fake 0.020033
[1305/5000][25/535][134586] Loss_D: -0.019538 Loss_G: 0.015847 Loss_D_real: -0.022155 Loss_D_fake -0.002618
[1305/5000][30/535][134587] Loss_D: -0.020246 Loss_G: 0.005337 Loss_D_real: -0.020247 Loss_D_fake -0.000002
[1305/5000][35/535][134588] Loss_D: -0.019468 Loss_G: 0.016856 Loss_D_real: -0.013953 Loss_D_fake 0.005515
[1305/5000][40/535][134589] Loss_D: -0.020845 Loss_G: 0.015453 Loss_D_real: -0.019536 Loss_D_fake 0.001309
[1305/5000][45/535][134590] Loss_D: -0.020287 Loss_G: 0.012041 Loss_D_real: -0.011909 Loss_D_fake 0.008378
[1305/5000][50/535][134591] Loss_D: -0.021268 Loss_G: 0.005107 Loss_D_real: -0.026462 Loss_D_fake -0.005194
[1305/5000][55/535][134592] Loss_D: -0.018805 Loss_G: -0.006569 Loss_D_real: -0.011255 Loss_D_fake 0.007550
[1305/5000][60/535][134593] Loss_D: -0.019977 Loss_G: 0.005659 Loss_D_real: -0.018978 Loss_D_fake 0.000999
[1305/5000][65/535][134594] Loss_D: -0.019567 Loss_G: 0.000987 Loss_D_real: -0.002336 Loss_D_fake 0.017231
[1305/5000][70/535][134595] Loss_D: -0.020593 Loss_G: 0.035431 Loss_D_real: -0.023482 Loss_D_fake -0.002889
[1305/5000][75/535][134596] Loss_D: -0.019703 Loss_G: -0.006727 Loss_D_real: -0.007007 Loss_D_fake 0.012696
[1305/5000][80/535][134597] Loss_D: -0.018605 Loss_G: 0.000387 Loss_D_real: -0.019823 Loss_D_fake -0.001218
[1305/5000][85/535][134598] Loss_D: -0.018935 Loss_G: -0.014896 Loss_D_real: 0.008219 Loss_D_fake 0.027154
[1305/5000][90/535][134599] Loss_D: -0.016139 Loss_G: 0.025683 Loss_D_real: -0.030903 Loss_D_fake -0.014765
[1305/5000][95/535][134600] Loss_D: -0.020074 Loss_G: 0.010795 Loss_D_real: -0.024200 Loss_D_fake -0.004126
[1305/5000][100/535][134601] Loss_D: -0.020699 Loss_G: 0.004326 Loss_D_real: -0.010865 Loss_D_fake 0.009834
[1305/5000][105/535][134602] Loss_D: -0.019030 Loss_G: 0.021269 Loss_D_real: -0.027951 Loss_D_fake -0.008922
[1305/5000][110/535][134603] Loss_D: -0.020251 Loss_G: 0.020229 Loss_D_real: -0.026616 Loss_D_fake -0.006365
[1305/5000][115/535][134604] Loss_D: -0.020638 Loss_G: 0.013257 Loss_D_real: -0.019959 Loss_D_fake 0.000679
[1305/5000][120/535][134605] Loss_D: -0.019538 Loss_G: 0.001639 Loss_D_real: -0.009571 Loss_D_fake 0.009967
[1305/5000][125/535][134606] Loss_D: -0.020018 Loss_G: 0.016615 Loss_D_real: -0.019854 Loss_D_fake 0.000165
[1305/5000][130/535][134607] Loss_D: -0.020637 Loss_G: 0.007414 Loss_D_real: -0.003953 Loss_D_fake 0.016684
[1305/5000][135/535][134608] Loss_D: -0.018760 Loss_G: 0.004805 Loss_D_real: -0.014271 Loss_D_fake 0.004489
[1305/5000][140/535][134609] Loss_D: -0.020244 Loss_G: 0.010587 Loss_D_real: -0.018013 Loss_D_fake 0.002231
[1305/5000][145/535][134610] Loss_D: -0.019210 Loss_G: 0.005094 Loss_D_real: -0.017684 Loss_D_fake 0.001526
[1305/5000][150/535][134611] Loss_D: -0.018127 Loss_G: 0.018215 Loss_D_real: -0.036967 Loss_D_fake -0.018839
[1305/5000][155/535][134612] Loss_D: -0.018550 Loss_G: 0.022148 Loss_D_real: -0.025983 Loss_D_fake -0.007432
[1305/5000][160/535][134613] Loss_D: -0.021310 Loss_G: 0.008355 Loss_D_real: -0.011524 Loss_D_fake 0.009786
[1305/5000][165/535][134614] Loss_D: -0.018947 Loss_G: -0.003093 Loss_D_real: -0.014106 Loss_D_fake 0.004841
[1305/5000][170/535][134615] Loss_D: -0.019061 Loss_G: 0.010777 Loss_D_real: -0.013821 Loss_D_fake 0.005240
[1305/5000][175/535][134616] Loss_D: -0.021042 Loss_G: 0.006983 Loss_D_real: -0.029303 Loss_D_fake -0.008261
[1305/5000][180/535][134617] Loss_D: -0.019476 Loss_G: 0.001437 Loss_D_real: -0.021916 Loss_D_fake -0.002440
[1305/5000][185/535][134618] Loss_D: -0.020572 Loss_G: 0.004617 Loss_D_real: -0.019162 Loss_D_fake 0.001409
[1305/5000][190/535][134619] Loss_D: -0.019450 Loss_G: 0.008182 Loss_D_real: -0.026345 Loss_D_fake -0.006895
[1305/5000][195/535][134620] Loss_D: -0.021460 Loss_G: 0.014246 Loss_D_real: -0.026105 Loss_D_fake -0.004645
[1305/5000][200/535][134621] Loss_D: -0.020806 Loss_G: -0.002945 Loss_D_real: -0.007886 Loss_D_fake 0.012920
[1305/5000][205/535][134622] Loss_D: -0.018264 Loss_G: 0.015250 Loss_D_real: -0.032615 Loss_D_fake -0.014351
[1305/5000][210/535][134623] Loss_D: -0.021178 Loss_G: -0.001854 Loss_D_real: -0.009511 Loss_D_fake 0.011667
[1305/5000][215/535][134624] Loss_D: -0.019766 Loss_G: 0.007159 Loss_D_real: -0.022812 Loss_D_fake -0.003046
[1305/5000][220/535][134625] Loss_D: -0.020950 Loss_G: 0.018562 Loss_D_real: -0.011687 Loss_D_fake 0.009263
[1305/5000][225/535][134626] Loss_D: -0.020222 Loss_G: 0.002567 Loss_D_real: -0.004319 Loss_D_fake 0.015903
[1305/5000][230/535][134627] Loss_D: -0.018587 Loss_G: 0.000149 Loss_D_real: -0.000536 Loss_D_fake 0.018052
[1305/5000][235/535][134628] Loss_D: -0.020856 Loss_G: 0.001299 Loss_D_real: -0.020802 Loss_D_fake 0.000054
[1305/5000][240/535][134629] Loss_D: -0.021060 Loss_G: 0.018964 Loss_D_real: -0.011637 Loss_D_fake 0.009423
[1305/5000][245/535][134630] Loss_D: -0.019271 Loss_G: 0.007663 Loss_D_real: -0.018937 Loss_D_fake 0.000334
[1305/5000][250/535][134631] Loss_D: -0.019451 Loss_G: 0.009558 Loss_D_real: -0.033741 Loss_D_fake -0.014290
[1305/5000][255/535][134632] Loss_D: -0.020370 Loss_G: 0.005453 Loss_D_real: -0.023080 Loss_D_fake -0.002710
[1305/5000][260/535][134633] Loss_D: -0.019356 Loss_G: 0.004859 Loss_D_real: -0.013346 Loss_D_fake 0.006009
[1305/5000][265/535][134634] Loss_D: -0.020159 Loss_G: -0.005209 Loss_D_real: -0.016421 Loss_D_fake 0.003738
[1305/5000][270/535][134635] Loss_D: -0.019655 Loss_G: 0.010434 Loss_D_real: -0.005045 Loss_D_fake 0.014610
[1305/5000][275/535][134636] Loss_D: -0.018891 Loss_G: 0.020482 Loss_D_real: -0.025097 Loss_D_fake -0.006206
[1305/5000][280/535][134637] Loss_D: -0.020716 Loss_G: 0.000114 Loss_D_real: -0.016642 Loss_D_fake 0.004075
[1305/5000][285/535][134638] Loss_D: -0.019937 Loss_G: 0.020708 Loss_D_real: -0.019603 Loss_D_fake 0.000334
[1305/5000][290/535][134639] Loss_D: -0.020677 Loss_G: 0.016514 Loss_D_real: -0.014226 Loss_D_fake 0.006450
[1305/5000][295/535][134640] Loss_D: -0.020540 Loss_G: 0.009310 Loss_D_real: -0.014655 Loss_D_fake 0.005885
[1305/5000][300/535][134641] Loss_D: -0.022141 Loss_G: -0.009074 Loss_D_real: -0.014850 Loss_D_fake 0.007290
[1305/5000][305/535][134642] Loss_D: -0.020982 Loss_G: 0.010345 Loss_D_real: -0.007602 Loss_D_fake 0.013381
[1305/5000][310/535][134643] Loss_D: -0.018481 Loss_G: 0.018765 Loss_D_real: -0.029776 Loss_D_fake -0.011295
[1305/5000][315/535][134644] Loss_D: -0.018980 Loss_G: 0.005952 Loss_D_real: -0.026547 Loss_D_fake -0.007567
[1305/5000][320/535][134645] Loss_D: -0.019667 Loss_G: -0.001094 Loss_D_real: -0.020021 Loss_D_fake -0.000354
[1305/5000][325/535][134646] Loss_D: -0.019938 Loss_G: 0.018708 Loss_D_real: -0.033233 Loss_D_fake -0.013295
[1305/5000][330/535][134647] Loss_D: -0.019421 Loss_G: 0.005115 Loss_D_real: -0.017769 Loss_D_fake 0.001653
[1305/5000][335/535][134648] Loss_D: -0.020455 Loss_G: 0.015076 Loss_D_real: -0.021709 Loss_D_fake -0.001254
[1305/5000][340/535][134649] Loss_D: -0.020983 Loss_G: -0.013708 Loss_D_real: -0.006752 Loss_D_fake 0.014231
[1305/5000][345/535][134650] Loss_D: -0.019002 Loss_G: -0.005806 Loss_D_real: -0.010893 Loss_D_fake 0.008110
[1305/5000][350/535][134651] Loss_D: -0.020447 Loss_G: 0.016982 Loss_D_real: -0.030483 Loss_D_fake -0.010037
[1305/5000][355/535][134652] Loss_D: -0.020018 Loss_G: 0.016641 Loss_D_real: -0.032199 Loss_D_fake -0.012181
[1305/5000][360/535][134653] Loss_D: -0.018241 Loss_G: 0.007538 Loss_D_real: -0.013352 Loss_D_fake 0.004888
[1305/5000][365/535][134654] Loss_D: -0.018873 Loss_G: 0.029872 Loss_D_real: -0.033233 Loss_D_fake -0.014359
[1305/5000][370/535][134655] Loss_D: -0.021527 Loss_G: 0.006840 Loss_D_real: -0.009627 Loss_D_fake 0.011900
[1305/5000][375/535][134656] Loss_D: -0.018900 Loss_G: 0.018592 Loss_D_real: -0.022554 Loss_D_fake -0.003654
[1305/5000][380/535][134657] Loss_D: -0.016443 Loss_G: 0.020994 Loss_D_real: -0.025626 Loss_D_fake -0.009183
[1305/5000][385/535][134658] Loss_D: -0.019636 Loss_G: -0.000744 Loss_D_real: -0.005030 Loss_D_fake 0.014606
[1305/5000][390/535][134659] Loss_D: -0.019836 Loss_G: 0.008627 Loss_D_real: -0.027763 Loss_D_fake -0.007927
[1305/5000][395/535][134660] Loss_D: -0.020489 Loss_G: 0.006100 Loss_D_real: -0.014326 Loss_D_fake 0.006164
[1305/5000][400/535][134661] Loss_D: -0.019632 Loss_G: 0.004476 Loss_D_real: -0.024267 Loss_D_fake -0.004634
[1305/5000][405/535][134662] Loss_D: -0.020602 Loss_G: 0.024849 Loss_D_real: -0.022730 Loss_D_fake -0.002128
[1305/5000][410/535][134663] Loss_D: -0.020120 Loss_G: 0.010837 Loss_D_real: -0.012937 Loss_D_fake 0.007183
[1305/5000][415/535][134664] Loss_D: -0.018665 Loss_G: -0.012135 Loss_D_real: 0.000391 Loss_D_fake 0.019056
[1305/5000][420/535][134665] Loss_D: -0.018670 Loss_G: 0.012989 Loss_D_real: -0.017279 Loss_D_fake 0.001391
[1305/5000][425/535][134666] Loss_D: -0.018843 Loss_G: -0.015390 Loss_D_real: 0.003554 Loss_D_fake 0.022397
[1305/5000][430/535][134667] Loss_D: -0.019330 Loss_G: 0.016501 Loss_D_real: -0.016719 Loss_D_fake 0.002610
[1305/5000][435/535][134668] Loss_D: -0.018811 Loss_G: -0.007374 Loss_D_real: -0.019407 Loss_D_fake -0.000596
[1305/5000][440/535][134669] Loss_D: -0.020491 Loss_G: 0.016363 Loss_D_real: -0.019925 Loss_D_fake 0.000567
[1305/5000][445/535][134670] Loss_D: -0.019651 Loss_G: 0.014273 Loss_D_real: -0.015561 Loss_D_fake 0.004090
[1305/5000][450/535][134671] Loss_D: -0.020542 Loss_G: 0.006106 Loss_D_real: -0.013187 Loss_D_fake 0.007355
[1305/5000][455/535][134672] Loss_D: -0.020004 Loss_G: 0.016439 Loss_D_real: -0.026827 Loss_D_fake -0.006823
[1305/5000][460/535][134673] Loss_D: -0.021285 Loss_G: 0.003808 Loss_D_real: -0.021580 Loss_D_fake -0.000294
[1305/5000][465/535][134674] Loss_D: -0.020038 Loss_G: 0.003756 Loss_D_real: -0.000122 Loss_D_fake 0.019915
[1305/5000][470/535][134675] Loss_D: -0.019891 Loss_G: 0.000819 Loss_D_real: -0.023117 Loss_D_fake -0.003225
[1305/5000][475/535][134676] Loss_D: -0.019730 Loss_G: 0.002490 Loss_D_real: -0.011137 Loss_D_fake 0.008592
[1305/5000][480/535][134677] Loss_D: -0.020666 Loss_G: 0.007565 Loss_D_real: -0.009519 Loss_D_fake 0.011147
[1305/5000][485/535][134678] Loss_D: -0.019746 Loss_G: 0.006572 Loss_D_real: -0.016202 Loss_D_fake 0.003544
[1305/5000][490/535][134679] Loss_D: -0.020111 Loss_G: 0.010674 Loss_D_real: -0.021981 Loss_D_fake -0.001870
[1305/5000][495/535][134680] Loss_D: -0.020103 Loss_G: 0.025265 Loss_D_real: -0.024765 Loss_D_fake -0.004662
[1305/5000][500/535][134681] Loss_D: -0.020062 Loss_G: -0.002296 Loss_D_real: -0.007262 Loss_D_fake 0.012800
[1305/5000][505/535][134682] Loss_D: -0.021414 Loss_G: -0.000690 Loss_D_real: -0.009241 Loss_D_fake 0.012173
[1305/5000][510/535][134683] Loss_D: -0.018741 Loss_G: -0.000944 Loss_D_real: -0.012514 Loss_D_fake 0.006227
[1305/5000][515/535][134684] Loss_D: -0.018449 Loss_G: 0.025012 Loss_D_real: -0.027882 Loss_D_fake -0.009433
[1305/5000][520/535][134685] Loss_D: -0.019609 Loss_G: 0.010928 Loss_D_real: -0.025201 Loss_D_fake -0.005592
[1305/5000][525/535][134686] Loss_D: -0.017611 Loss_G: -0.027314 Loss_D_real: 0.002161 Loss_D_fake 0.019772
[1305/5000][530/535][134687] Loss_D: -0.020755 Loss_G: 0.007821 Loss_D_real: -0.008006 Loss_D_fake 0.012749
[1305/5000][535/535][134688] Loss_D: -0.021409 Loss_G: -0.005843 Loss_D_real: -0.037553 Loss_D_fake -0.016145
[1306/5000][5/535][134689] Loss_D: -0.020792 Loss_G: 0.017306 Loss_D_real: -0.014100 Loss_D_fake 0.006692
[1306/5000][10/535][134690] Loss_D: -0.018770 Loss_G: -0.010196 Loss_D_real: 0.000535 Loss_D_fake 0.019305
[1306/5000][15/535][134691] Loss_D: -0.019990 Loss_G: -0.002255 Loss_D_real: -0.019185 Loss_D_fake 0.000805
[1306/5000][20/535][134692] Loss_D: -0.019530 Loss_G: 0.008286 Loss_D_real: -0.021866 Loss_D_fake -0.002336
[1306/5000][25/535][134693] Loss_D: -0.020007 Loss_G: 0.009304 Loss_D_real: -0.000122 Loss_D_fake 0.019884
[1306/5000][30/535][134694] Loss_D: -0.018117 Loss_G: 0.022871 Loss_D_real: -0.029400 Loss_D_fake -0.011284
[1306/5000][35/535][134695] Loss_D: -0.019536 Loss_G: 0.003964 Loss_D_real: -0.017623 Loss_D_fake 0.001912
[1306/5000][40/535][134696] Loss_D: -0.018974 Loss_G: -0.014559 Loss_D_real: 0.001457 Loss_D_fake 0.020430
[1306/5000][45/535][134697] Loss_D: -0.019439 Loss_G: 0.000224 Loss_D_real: -0.012411 Loss_D_fake 0.007028
[1306/5000][50/535][134698] Loss_D: -0.021096 Loss_G: 0.012469 Loss_D_real: -0.010373 Loss_D_fake 0.010722
[1306/5000][55/535][134699] Loss_D: -0.018938 Loss_G: -0.017191 Loss_D_real: -0.014428 Loss_D_fake 0.004509
[1306/5000][60/535][134700] Loss_D: -0.019737 Loss_G: -0.001297 Loss_D_real: -0.009267 Loss_D_fake 0.010471
[1306/5000][65/535][134701] Loss_D: -0.020028 Loss_G: 0.013581 Loss_D_real: -0.019152 Loss_D_fake 0.000876
[1306/5000][70/535][134702] Loss_D: -0.019536 Loss_G: 0.012849 Loss_D_real: -0.020379 Loss_D_fake -0.000842
[1306/5000][75/535][134703] Loss_D: -0.019535 Loss_G: 0.026665 Loss_D_real: -0.022523 Loss_D_fake -0.002987
[1306/5000][80/535][134704] Loss_D: -0.019577 Loss_G: -0.008997 Loss_D_real: -0.008786 Loss_D_fake 0.010792
[1306/5000][85/535][134705] Loss_D: -0.019655 Loss_G: -0.003198 Loss_D_real: -0.001244 Loss_D_fake 0.018411
[1306/5000][90/535][134706] Loss_D: -0.019765 Loss_G: 0.011626 Loss_D_real: -0.020480 Loss_D_fake -0.000715
[1306/5000][95/535][134707] Loss_D: -0.020200 Loss_G: 0.003993 Loss_D_real: -0.011132 Loss_D_fake 0.009068
[1306/5000][100/535][134708] Loss_D: -0.019192 Loss_G: 0.002234 Loss_D_real: -0.008877 Loss_D_fake 0.010315
[1306/5000][105/535][134709] Loss_D: -0.019245 Loss_G: -0.011088 Loss_D_real: 0.000235 Loss_D_fake 0.019480
[1306/5000][110/535][134710] Loss_D: -0.019710 Loss_G: 0.013630 Loss_D_real: -0.024515 Loss_D_fake -0.004805
[1306/5000][115/535][134711] Loss_D: -0.019497 Loss_G: 0.018531 Loss_D_real: -0.014618 Loss_D_fake 0.004878
[1306/5000][120/535][134712] Loss_D: -0.018583 Loss_G: -0.005630 Loss_D_real: 0.010087 Loss_D_fake 0.028670
[1306/5000][125/535][134713] Loss_D: -0.018995 Loss_G: -0.001080 Loss_D_real: -0.031640 Loss_D_fake -0.012645
[1306/5000][130/535][134714] Loss_D: -0.020325 Loss_G: -0.004589 Loss_D_real: -0.010339 Loss_D_fake 0.009986
[1306/5000][135/535][134715] Loss_D: -0.019781 Loss_G: 0.013977 Loss_D_real: -0.020559 Loss_D_fake -0.000778
[1306/5000][140/535][134716] Loss_D: -0.020349 Loss_G: 0.011684 Loss_D_real: -0.000850 Loss_D_fake 0.019499
[1306/5000][145/535][134717] Loss_D: -0.018883 Loss_G: 0.004564 Loss_D_real: -0.018540 Loss_D_fake 0.000343
[1306/5000][150/535][134718] Loss_D: -0.021530 Loss_G: 0.006232 Loss_D_real: -0.018061 Loss_D_fake 0.003470
[1306/5000][155/535][134719] Loss_D: -0.020843 Loss_G: 0.017571 Loss_D_real: -0.019899 Loss_D_fake 0.000944
[1306/5000][160/535][134720] Loss_D: -0.018753 Loss_G: -0.003629 Loss_D_real: -0.002402 Loss_D_fake 0.016351
[1306/5000][165/535][134721] Loss_D: -0.017699 Loss_G: 0.005653 Loss_D_real: -0.026990 Loss_D_fake -0.009291
[1306/5000][170/535][134722] Loss_D: -0.019965 Loss_G: 0.000987 Loss_D_real: -0.018351 Loss_D_fake 0.001614
[1306/5000][175/535][134723] Loss_D: -0.019192 Loss_G: 0.008394 Loss_D_real: -0.015730 Loss_D_fake 0.003462
[1306/5000][180/535][134724] Loss_D: -0.018803 Loss_G: 0.013409 Loss_D_real: -0.020474 Loss_D_fake -0.001671
[1306/5000][185/535][134725] Loss_D: -0.020208 Loss_G: -0.004470 Loss_D_real: -0.008647 Loss_D_fake 0.011560
[1306/5000][190/535][134726] Loss_D: -0.018382 Loss_G: -0.014718 Loss_D_real: -0.002975 Loss_D_fake 0.015407
[1306/5000][195/535][134727] Loss_D: -0.020221 Loss_G: 0.017767 Loss_D_real: -0.031765 Loss_D_fake -0.011544
[1306/5000][200/535][134728] Loss_D: -0.018795 Loss_G: 0.022296 Loss_D_real: -0.032029 Loss_D_fake -0.013234
[1306/5000][205/535][134729] Loss_D: -0.018085 Loss_G: 0.022339 Loss_D_real: -0.027312 Loss_D_fake -0.009226
[1306/5000][210/535][134730] Loss_D: -0.018857 Loss_G: 0.015809 Loss_D_real: -0.034158 Loss_D_fake -0.015302
[1306/5000][215/535][134731] Loss_D: -0.018599 Loss_G: 0.018221 Loss_D_real: -0.016307 Loss_D_fake 0.002291
[1306/5000][220/535][134732] Loss_D: -0.019506 Loss_G: 0.021902 Loss_D_real: -0.014244 Loss_D_fake 0.005262
[1306/5000][225/535][134733] Loss_D: -0.020104 Loss_G: -0.007978 Loss_D_real: -0.000662 Loss_D_fake 0.019442
[1306/5000][230/535][134734] Loss_D: -0.018493 Loss_G: -0.007920 Loss_D_real: -0.009546 Loss_D_fake 0.008947
[1306/5000][235/535][134735] Loss_D: -0.020248 Loss_G: -0.008885 Loss_D_real: -0.019034 Loss_D_fake 0.001214
[1306/5000][240/535][134736] Loss_D: -0.020089 Loss_G: 0.006392 Loss_D_real: -0.012553 Loss_D_fake 0.007537
[1306/5000][245/535][134737] Loss_D: -0.019983 Loss_G: 0.012531 Loss_D_real: -0.020131 Loss_D_fake -0.000147
[1306/5000][250/535][134738] Loss_D: -0.020449 Loss_G: 0.012528 Loss_D_real: -0.015219 Loss_D_fake 0.005230
[1306/5000][255/535][134739] Loss_D: -0.020452 Loss_G: 0.014351 Loss_D_real: -0.032636 Loss_D_fake -0.012184
[1306/5000][260/535][134740] Loss_D: -0.020777 Loss_G: -0.005267 Loss_D_real: -0.013371 Loss_D_fake 0.007406
[1306/5000][265/535][134741] Loss_D: -0.021123 Loss_G: 0.014847 Loss_D_real: -0.022830 Loss_D_fake -0.001707
[1306/5000][270/535][134742] Loss_D: -0.018548 Loss_G: 0.001781 Loss_D_real: -0.018688 Loss_D_fake -0.000139
[1306/5000][275/535][134743] Loss_D: -0.021566 Loss_G: 0.012035 Loss_D_real: -0.009357 Loss_D_fake 0.012209
[1306/5000][280/535][134744] Loss_D: -0.019958 Loss_G: 0.000984 Loss_D_real: -0.013523 Loss_D_fake 0.006435
[1306/5000][285/535][134745] Loss_D: -0.019729 Loss_G: 0.014167 Loss_D_real: -0.028765 Loss_D_fake -0.009036
[1306/5000][290/535][134746] Loss_D: -0.020169 Loss_G: -0.006296 Loss_D_real: -0.008038 Loss_D_fake 0.012130
[1306/5000][295/535][134747] Loss_D: -0.021376 Loss_G: -0.000391 Loss_D_real: -0.018168 Loss_D_fake 0.003208
[1306/5000][300/535][134748] Loss_D: -0.020320 Loss_G: 0.015366 Loss_D_real: -0.009952 Loss_D_fake 0.010369
[1306/5000][305/535][134749] Loss_D: -0.020132 Loss_G: 0.010695 Loss_D_real: -0.014953 Loss_D_fake 0.005180
[1306/5000][310/535][134750] Loss_D: -0.019224 Loss_G: 0.025250 Loss_D_real: -0.028582 Loss_D_fake -0.009358
[1306/5000][315/535][134751] Loss_D: -0.020468 Loss_G: 0.014934 Loss_D_real: -0.022338 Loss_D_fake -0.001870
[1306/5000][320/535][134752] Loss_D: -0.020581 Loss_G: 0.004406 Loss_D_real: -0.015726 Loss_D_fake 0.004855
[1306/5000][325/535][134753] Loss_D: -0.020198 Loss_G: 0.003740 Loss_D_real: -0.030634 Loss_D_fake -0.010435
[1306/5000][330/535][134754] Loss_D: -0.019987 Loss_G: 0.021530 Loss_D_real: -0.033541 Loss_D_fake -0.013554
[1306/5000][335/535][134755] Loss_D: -0.020850 Loss_G: 0.000235 Loss_D_real: -0.017089 Loss_D_fake 0.003762
[1306/5000][340/535][134756] Loss_D: -0.018889 Loss_G: 0.005285 Loss_D_real: -0.003392 Loss_D_fake 0.015497
[1306/5000][345/535][134757] Loss_D: -0.019307 Loss_G: -0.006343 Loss_D_real: -0.012391 Loss_D_fake 0.006916
[1306/5000][350/535][134758] Loss_D: -0.019572 Loss_G: 0.011080 Loss_D_real: -0.014144 Loss_D_fake 0.005428
[1306/5000][355/535][134759] Loss_D: -0.019847 Loss_G: 0.010439 Loss_D_real: -0.005287 Loss_D_fake 0.014560
[1306/5000][360/535][134760] Loss_D: -0.019314 Loss_G: 0.007826 Loss_D_real: -0.020626 Loss_D_fake -0.001311
[1306/5000][365/535][134761] Loss_D: -0.019373 Loss_G: -0.003498 Loss_D_real: 0.000828 Loss_D_fake 0.020201
[1306/5000][370/535][134762] Loss_D: -0.019358 Loss_G: 0.005372 Loss_D_real: -0.023969 Loss_D_fake -0.004612
[1306/5000][375/535][134763] Loss_D: -0.020633 Loss_G: 0.006410 Loss_D_real: -0.022100 Loss_D_fake -0.001467
[1306/5000][380/535][134764] Loss_D: -0.020490 Loss_G: 0.007024 Loss_D_real: -0.015660 Loss_D_fake 0.004830
[1306/5000][385/535][134765] Loss_D: -0.019461 Loss_G: -0.009237 Loss_D_real: -0.019571 Loss_D_fake -0.000110
[1306/5000][390/535][134766] Loss_D: -0.019174 Loss_G: 0.008433 Loss_D_real: -0.010953 Loss_D_fake 0.008221
[1306/5000][395/535][134767] Loss_D: -0.018612 Loss_G: 0.004590 Loss_D_real: -0.021637 Loss_D_fake -0.003026
[1306/5000][400/535][134768] Loss_D: -0.020844 Loss_G: 0.022607 Loss_D_real: -0.017790 Loss_D_fake 0.003053
[1306/5000][405/535][134769] Loss_D: -0.019437 Loss_G: -0.014149 Loss_D_real: -0.008093 Loss_D_fake 0.011344
[1306/5000][410/535][134770] Loss_D: -0.019342 Loss_G: 0.009888 Loss_D_real: -0.008387 Loss_D_fake 0.010955
[1306/5000][415/535][134771] Loss_D: -0.020635 Loss_G: -0.006978 Loss_D_real: -0.015940 Loss_D_fake 0.004695
[1306/5000][420/535][134772] Loss_D: -0.019644 Loss_G: 0.009159 Loss_D_real: -0.011595 Loss_D_fake 0.008049
[1306/5000][425/535][134773] Loss_D: -0.020074 Loss_G: 0.010408 Loss_D_real: -0.024605 Loss_D_fake -0.004530
[1306/5000][430/535][134774] Loss_D: -0.017796 Loss_G: 0.033423 Loss_D_real: -0.021838 Loss_D_fake -0.004042
[1306/5000][435/535][134775] Loss_D: -0.021265 Loss_G: 0.003517 Loss_D_real: -0.011321 Loss_D_fake 0.009944
[1306/5000][440/535][134776] Loss_D: -0.021007 Loss_G: -0.003368 Loss_D_real: -0.006852 Loss_D_fake 0.014155
[1306/5000][445/535][134777] Loss_D: -0.019020 Loss_G: 0.013216 Loss_D_real: -0.023636 Loss_D_fake -0.004616
[1306/5000][450/535][134778] Loss_D: -0.020972 Loss_G: 0.016245 Loss_D_real: -0.025113 Loss_D_fake -0.004141
[1306/5000][455/535][134779] Loss_D: -0.018904 Loss_G: 0.013104 Loss_D_real: -0.027899 Loss_D_fake -0.008995
[1306/5000][460/535][134780] Loss_D: -0.020046 Loss_G: 0.003319 Loss_D_real: -0.021930 Loss_D_fake -0.001885
[1306/5000][465/535][134781] Loss_D: -0.017281 Loss_G: 0.026637 Loss_D_real: -0.034950 Loss_D_fake -0.017670
[1306/5000][470/535][134782] Loss_D: -0.019936 Loss_G: -0.023079 Loss_D_real: -0.010981 Loss_D_fake 0.008955
[1306/5000][475/535][134783] Loss_D: -0.019917 Loss_G: 0.006567 Loss_D_real: -0.012405 Loss_D_fake 0.007512
[1306/5000][480/535][134784] Loss_D: -0.020282 Loss_G: 0.015435 Loss_D_real: -0.019108 Loss_D_fake 0.001174
[1306/5000][485/535][134785] Loss_D: -0.019557 Loss_G: 0.025936 Loss_D_real: -0.021752 Loss_D_fake -0.002194
[1306/5000][490/535][134786] Loss_D: -0.019013 Loss_G: 0.011303 Loss_D_real: -0.020567 Loss_D_fake -0.001554
[1306/5000][495/535][134787] Loss_D: -0.020389 Loss_G: 0.012104 Loss_D_real: -0.022501 Loss_D_fake -0.002112
[1306/5000][500/535][134788] Loss_D: -0.019216 Loss_G: 0.008652 Loss_D_real: -0.019880 Loss_D_fake -0.000663
[1306/5000][505/535][134789] Loss_D: -0.020758 Loss_G: -0.004695 Loss_D_real: -0.010229 Loss_D_fake 0.010529
[1306/5000][510/535][134790] Loss_D: -0.019606 Loss_G: 0.013782 Loss_D_real: -0.023251 Loss_D_fake -0.003645
[1306/5000][515/535][134791] Loss_D: -0.019839 Loss_G: -0.006365 Loss_D_real: -0.006483 Loss_D_fake 0.013356
[1306/5000][520/535][134792] Loss_D: -0.020208 Loss_G: 0.004039 Loss_D_real: -0.015249 Loss_D_fake 0.004959
[1306/5000][525/535][134793] Loss_D: -0.018946 Loss_G: 0.013073 Loss_D_real: -0.032050 Loss_D_fake -0.013103
[1306/5000][530/535][134794] Loss_D: -0.019068 Loss_G: 0.002452 Loss_D_real: -0.009382 Loss_D_fake 0.009686
[1306/5000][535/535][134795] Loss_D: -0.020849 Loss_G: 0.002875 Loss_D_real: -0.016734 Loss_D_fake 0.004114
[1307/5000][5/535][134796] Loss_D: -0.019950 Loss_G: 0.018738 Loss_D_real: -0.019925 Loss_D_fake 0.000025
[1307/5000][10/535][134797] Loss_D: -0.020073 Loss_G: 0.002674 Loss_D_real: -0.012754 Loss_D_fake 0.007319
[1307/5000][15/535][134798] Loss_D: -0.019744 Loss_G: 0.002930 Loss_D_real: -0.011659 Loss_D_fake 0.008085
[1307/5000][20/535][134799] Loss_D: -0.020070 Loss_G: 0.006699 Loss_D_real: -0.020769 Loss_D_fake -0.000699
[1307/5000][25/535][134800] Loss_D: -0.020749 Loss_G: 0.007883 Loss_D_real: -0.015915 Loss_D_fake 0.004834
[1307/5000][30/535][134801] Loss_D: -0.021009 Loss_G: -0.006300 Loss_D_real: -0.010529 Loss_D_fake 0.010480
[1307/5000][35/535][134802] Loss_D: -0.019321 Loss_G: 0.002016 Loss_D_real: -0.010257 Loss_D_fake 0.009064
[1307/5000][40/535][134803] Loss_D: -0.020446 Loss_G: 0.024040 Loss_D_real: -0.025400 Loss_D_fake -0.004954
[1307/5000][45/535][134804] Loss_D: -0.019664 Loss_G: -0.015534 Loss_D_real: -0.005427 Loss_D_fake 0.014236
[1307/5000][50/535][134805] Loss_D: -0.018968 Loss_G: -0.009536 Loss_D_real: -0.010819 Loss_D_fake 0.008148
[1307/5000][55/535][134806] Loss_D: -0.020199 Loss_G: -0.003702 Loss_D_real: -0.011808 Loss_D_fake 0.008392
[1307/5000][60/535][134807] Loss_D: -0.018311 Loss_G: 0.005282 Loss_D_real: -0.017722 Loss_D_fake 0.000589
[1307/5000][65/535][134808] Loss_D: -0.019627 Loss_G: -0.004135 Loss_D_real: -0.006743 Loss_D_fake 0.012884
[1307/5000][70/535][134809] Loss_D: -0.020017 Loss_G: 0.013760 Loss_D_real: -0.021601 Loss_D_fake -0.001584
[1307/5000][75/535][134810] Loss_D: -0.020800 Loss_G: 0.002078 Loss_D_real: -0.006991 Loss_D_fake 0.013809
[1307/5000][80/535][134811] Loss_D: -0.021638 Loss_G: 0.012035 Loss_D_real: -0.020719 Loss_D_fake 0.000919
[1307/5000][85/535][134812] Loss_D: -0.019593 Loss_G: -0.005151 Loss_D_real: -0.016762 Loss_D_fake 0.002831
[1307/5000][90/535][134813] Loss_D: -0.019512 Loss_G: 0.029870 Loss_D_real: -0.025541 Loss_D_fake -0.006029
[1307/5000][95/535][134814] Loss_D: -0.019007 Loss_G: 0.006103 Loss_D_real: -0.013461 Loss_D_fake 0.005545
[1307/5000][100/535][134815] Loss_D: -0.019999 Loss_G: -0.006955 Loss_D_real: -0.009125 Loss_D_fake 0.010875
[1307/5000][105/535][134816] Loss_D: -0.021392 Loss_G: 0.017702 Loss_D_real: -0.018325 Loss_D_fake 0.003067
[1307/5000][110/535][134817] Loss_D: -0.019389 Loss_G: -0.014906 Loss_D_real: -0.006936 Loss_D_fake 0.012453
[1307/5000][115/535][134818] Loss_D: -0.019807 Loss_G: 0.007991 Loss_D_real: -0.013732 Loss_D_fake 0.006075
[1307/5000][120/535][134819] Loss_D: -0.019291 Loss_G: -0.002305 Loss_D_real: -0.003654 Loss_D_fake 0.015637
[1307/5000][125/535][134820] Loss_D: -0.018715 Loss_G: 0.022480 Loss_D_real: -0.033499 Loss_D_fake -0.014784
[1307/5000][130/535][134821] Loss_D: -0.019341 Loss_G: 0.001197 Loss_D_real: -0.007461 Loss_D_fake 0.011880
[1307/5000][135/535][134822] Loss_D: -0.018907 Loss_G: 0.010822 Loss_D_real: -0.024368 Loss_D_fake -0.005462
[1307/5000][140/535][134823] Loss_D: -0.020046 Loss_G: 0.002364 Loss_D_real: -0.007747 Loss_D_fake 0.012298
[1307/5000][145/535][134824] Loss_D: -0.020600 Loss_G: 0.016992 Loss_D_real: -0.017930 Loss_D_fake 0.002670
[1307/5000][150/535][134825] Loss_D: -0.019710 Loss_G: 0.023563 Loss_D_real: -0.025303 Loss_D_fake -0.005593
[1307/5000][155/535][134826] Loss_D: -0.021292 Loss_G: 0.017115 Loss_D_real: -0.024565 Loss_D_fake -0.003273
[1307/5000][160/535][134827] Loss_D: -0.019574 Loss_G: -0.008371 Loss_D_real: -0.009675 Loss_D_fake 0.009898
[1307/5000][165/535][134828] Loss_D: -0.019952 Loss_G: -0.010280 Loss_D_real: -0.012713 Loss_D_fake 0.007239
[1307/5000][170/535][134829] Loss_D: -0.019638 Loss_G: 0.005387 Loss_D_real: -0.001747 Loss_D_fake 0.017891
[1307/5000][175/535][134830] Loss_D: -0.018476 Loss_G: -0.000269 Loss_D_real: -0.008848 Loss_D_fake 0.009628
[1307/5000][180/535][134831] Loss_D: -0.019629 Loss_G: 0.004680 Loss_D_real: -0.015140 Loss_D_fake 0.004489
[1307/5000][185/535][134832] Loss_D: -0.018961 Loss_G: -0.016834 Loss_D_real: -0.008319 Loss_D_fake 0.010641
[1307/5000][190/535][134833] Loss_D: -0.019053 Loss_G: -0.002445 Loss_D_real: -0.005830 Loss_D_fake 0.013223
[1307/5000][195/535][134834] Loss_D: -0.019310 Loss_G: -0.009510 Loss_D_real: -0.001636 Loss_D_fake 0.017674
[1307/5000][200/535][134835] Loss_D: -0.018427 Loss_G: -0.012059 Loss_D_real: -0.002005 Loss_D_fake 0.016422
[1307/5000][205/535][134836] Loss_D: -0.019568 Loss_G: 0.029968 Loss_D_real: -0.023691 Loss_D_fake -0.004123
[1307/5000][210/535][134837] Loss_D: -0.018626 Loss_G: 0.010206 Loss_D_real: -0.014533 Loss_D_fake 0.004093
[1307/5000][215/535][134838] Loss_D: -0.018322 Loss_G: -0.015083 Loss_D_real: -0.002928 Loss_D_fake 0.015394
[1307/5000][220/535][134839] Loss_D: -0.019819 Loss_G: 0.009574 Loss_D_real: -0.026814 Loss_D_fake -0.006995
[1307/5000][225/535][134840] Loss_D: -0.018274 Loss_G: -0.015648 Loss_D_real: -0.001089 Loss_D_fake 0.017185
[1307/5000][230/535][134841] Loss_D: -0.019731 Loss_G: -0.002799 Loss_D_real: -0.011939 Loss_D_fake 0.007792
[1307/5000][235/535][134842] Loss_D: -0.018743 Loss_G: 0.009974 Loss_D_real: -0.025782 Loss_D_fake -0.007039
[1307/5000][240/535][134843] Loss_D: -0.018747 Loss_G: 0.016461 Loss_D_real: -0.019831 Loss_D_fake -0.001084
[1307/5000][245/535][134844] Loss_D: -0.018750 Loss_G: -0.013260 Loss_D_real: -0.000037 Loss_D_fake 0.018713
[1307/5000][250/535][134845] Loss_D: -0.018095 Loss_G: -0.009679 Loss_D_real: 0.000700 Loss_D_fake 0.018795
[1307/5000][255/535][134846] Loss_D: -0.019698 Loss_G: 0.017335 Loss_D_real: -0.021546 Loss_D_fake -0.001849
[1307/5000][260/535][134847] Loss_D: -0.018977 Loss_G: 0.019809 Loss_D_real: -0.027184 Loss_D_fake -0.008206
[1307/5000][265/535][134848] Loss_D: -0.019739 Loss_G: 0.025040 Loss_D_real: -0.028938 Loss_D_fake -0.009198
[1307/5000][270/535][134849] Loss_D: -0.022463 Loss_G: 0.002060 Loss_D_real: -0.018687 Loss_D_fake 0.003776
[1307/5000][275/535][134850] Loss_D: -0.020009 Loss_G: 0.009296 Loss_D_real: -0.015615 Loss_D_fake 0.004393
[1307/5000][280/535][134851] Loss_D: -0.019486 Loss_G: 0.024912 Loss_D_real: -0.026381 Loss_D_fake -0.006895
[1307/5000][285/535][134852] Loss_D: -0.020963 Loss_G: -0.006205 Loss_D_real: -0.012418 Loss_D_fake 0.008545
[1307/5000][290/535][134853] Loss_D: -0.020798 Loss_G: -0.013167 Loss_D_real: -0.012988 Loss_D_fake 0.007809
[1307/5000][295/535][134854] Loss_D: -0.019856 Loss_G: 0.014131 Loss_D_real: -0.018141 Loss_D_fake 0.001715
[1307/5000][300/535][134855] Loss_D: -0.021289 Loss_G: 0.020597 Loss_D_real: -0.012221 Loss_D_fake 0.009067
[1307/5000][305/535][134856] Loss_D: -0.019439 Loss_G: 0.014054 Loss_D_real: -0.035578 Loss_D_fake -0.016139
[1307/5000][310/535][134857] Loss_D: -0.019253 Loss_G: -0.016067 Loss_D_real: 0.003525 Loss_D_fake 0.022778
[1307/5000][315/535][134858] Loss_D: -0.021083 Loss_G: -0.001394 Loss_D_real: -0.015394 Loss_D_fake 0.005688
[1307/5000][320/535][134859] Loss_D: -0.020544 Loss_G: 0.006588 Loss_D_real: -0.013226 Loss_D_fake 0.007318
[1307/5000][325/535][134860] Loss_D: -0.020058 Loss_G: 0.021391 Loss_D_real: -0.013714 Loss_D_fake 0.006344
[1307/5000][330/535][134861] Loss_D: -0.019314 Loss_G: -0.005066 Loss_D_real: -0.011135 Loss_D_fake 0.008179
[1307/5000][335/535][134862] Loss_D: -0.020927 Loss_G: 0.002563 Loss_D_real: -0.017289 Loss_D_fake 0.003638
[1307/5000][340/535][134863] Loss_D: -0.018375 Loss_G: 0.014535 Loss_D_real: -0.021408 Loss_D_fake -0.003033
[1307/5000][345/535][134864] Loss_D: -0.017807 Loss_G: 0.030731 Loss_D_real: -0.029185 Loss_D_fake -0.011378
[1307/5000][350/535][134865] Loss_D: -0.020728 Loss_G: -0.002347 Loss_D_real: -0.027292 Loss_D_fake -0.006565
[1307/5000][355/535][134866] Loss_D: -0.019620 Loss_G: 0.009988 Loss_D_real: -0.027081 Loss_D_fake -0.007460
[1307/5000][360/535][134867] Loss_D: -0.019117 Loss_G: 0.012699 Loss_D_real: -0.017268 Loss_D_fake 0.001849
[1307/5000][365/535][134868] Loss_D: -0.019677 Loss_G: -0.005269 Loss_D_real: -0.014535 Loss_D_fake 0.005142
[1307/5000][370/535][134869] Loss_D: -0.020457 Loss_G: 0.007056 Loss_D_real: -0.017990 Loss_D_fake 0.002467
[1307/5000][375/535][134870] Loss_D: -0.018906 Loss_G: -0.004135 Loss_D_real: -0.008543 Loss_D_fake 0.010363
[1307/5000][380/535][134871] Loss_D: -0.019315 Loss_G: 0.001020 Loss_D_real: -0.010183 Loss_D_fake 0.009132
[1307/5000][385/535][134872] Loss_D: -0.019773 Loss_G: -0.002360 Loss_D_real: 0.000187 Loss_D_fake 0.019960
[1307/5000][390/535][134873] Loss_D: -0.020125 Loss_G: 0.003599 Loss_D_real: -0.021609 Loss_D_fake -0.001485
[1307/5000][395/535][134874] Loss_D: -0.020300 Loss_G: 0.012525 Loss_D_real: -0.018870 Loss_D_fake 0.001430
[1307/5000][400/535][134875] Loss_D: -0.021571 Loss_G: 0.008349 Loss_D_real: -0.013728 Loss_D_fake 0.007842
[1307/5000][405/535][134876] Loss_D: -0.021673 Loss_G: -0.006027 Loss_D_real: -0.006772 Loss_D_fake 0.014901
[1307/5000][410/535][134877] Loss_D: -0.020264 Loss_G: 0.017378 Loss_D_real: -0.032890 Loss_D_fake -0.012626
[1307/5000][415/535][134878] Loss_D: -0.019957 Loss_G: -0.016327 Loss_D_real: 0.002665 Loss_D_fake 0.022622
[1307/5000][420/535][134879] Loss_D: -0.019427 Loss_G: 0.010759 Loss_D_real: -0.032042 Loss_D_fake -0.012615
[1307/5000][425/535][134880] Loss_D: -0.020639 Loss_G: 0.020020 Loss_D_real: -0.015959 Loss_D_fake 0.004680
[1307/5000][430/535][134881] Loss_D: -0.020110 Loss_G: 0.027301 Loss_D_real: -0.025779 Loss_D_fake -0.005669
[1307/5000][435/535][134882] Loss_D: -0.019659 Loss_G: 0.023323 Loss_D_real: -0.030652 Loss_D_fake -0.010993
[1307/5000][440/535][134883] Loss_D: -0.020521 Loss_G: -0.012699 Loss_D_real: -0.004496 Loss_D_fake 0.016025
[1307/5000][445/535][134884] Loss_D: -0.021091 Loss_G: 0.003175 Loss_D_real: -0.005183 Loss_D_fake 0.015907
[1307/5000][450/535][134885] Loss_D: -0.018026 Loss_G: 0.009813 Loss_D_real: -0.023998 Loss_D_fake -0.005972
[1307/5000][455/535][134886] Loss_D: -0.020116 Loss_G: -0.006814 Loss_D_real: -0.013180 Loss_D_fake 0.006937
[1307/5000][460/535][134887] Loss_D: -0.019132 Loss_G: 0.022725 Loss_D_real: -0.023937 Loss_D_fake -0.004805
[1307/5000][465/535][134888] Loss_D: -0.019661 Loss_G: 0.024126 Loss_D_real: -0.018832 Loss_D_fake 0.000829
[1307/5000][470/535][134889] Loss_D: -0.019906 Loss_G: 0.001450 Loss_D_real: -0.019373 Loss_D_fake 0.000533
[1307/5000][475/535][134890] Loss_D: -0.019407 Loss_G: 0.019909 Loss_D_real: -0.021505 Loss_D_fake -0.002098
[1307/5000][480/535][134891] Loss_D: -0.019308 Loss_G: 0.013991 Loss_D_real: -0.021466 Loss_D_fake -0.002158
[1307/5000][485/535][134892] Loss_D: -0.020359 Loss_G: 0.010514 Loss_D_real: -0.012042 Loss_D_fake 0.008317
[1307/5000][490/535][134893] Loss_D: -0.019092 Loss_G: 0.013420 Loss_D_real: -0.020209 Loss_D_fake -0.001117
[1307/5000][495/535][134894] Loss_D: -0.019764 Loss_G: -0.009864 Loss_D_real: -0.015812 Loss_D_fake 0.003952
[1307/5000][500/535][134895] Loss_D: -0.021157 Loss_G: -0.004474 Loss_D_real: -0.017989 Loss_D_fake 0.003168
[1307/5000][505/535][134896] Loss_D: -0.020335 Loss_G: -0.006468 Loss_D_real: -0.015728 Loss_D_fake 0.004607
[1307/5000][510/535][134897] Loss_D: -0.020272 Loss_G: -0.007828 Loss_D_real: -0.023026 Loss_D_fake -0.002754
[1307/5000][515/535][134898] Loss_D: -0.020977 Loss_G: 0.004684 Loss_D_real: -0.009655 Loss_D_fake 0.011322
[1307/5000][520/535][134899] Loss_D: -0.018835 Loss_G: 0.026847 Loss_D_real: -0.026755 Loss_D_fake -0.007919
[1307/5000][525/535][134900] Loss_D: -0.020044 Loss_G: 0.004233 Loss_D_real: -0.017353 Loss_D_fake 0.002691
[1307/5000][530/535][134901] Loss_D: -0.020545 Loss_G: 0.016477 Loss_D_real: -0.018838 Loss_D_fake 0.001707
[1307/5000][535/535][134902] Loss_D: -0.022982 Loss_G: 0.034120 Loss_D_real: -0.017753 Loss_D_fake 0.005230
[1308/5000][5/535][134903] Loss_D: -0.021121 Loss_G: 0.003751 Loss_D_real: -0.017639 Loss_D_fake 0.003482
[1308/5000][10/535][134904] Loss_D: -0.018840 Loss_G: 0.013919 Loss_D_real: -0.028057 Loss_D_fake -0.009217
[1308/5000][15/535][134905] Loss_D: -0.019739 Loss_G: -0.006005 Loss_D_real: 0.000715 Loss_D_fake 0.020454
[1308/5000][20/535][134906] Loss_D: -0.019460 Loss_G: 0.021616 Loss_D_real: -0.017730 Loss_D_fake 0.001729
[1308/5000][25/535][134907] Loss_D: -0.019756 Loss_G: -0.004017 Loss_D_real: -0.015237 Loss_D_fake 0.004518
[1308/5000][30/535][134908] Loss_D: -0.020240 Loss_G: 0.005463 Loss_D_real: -0.021837 Loss_D_fake -0.001597
[1308/5000][35/535][134909] Loss_D: -0.019019 Loss_G: 0.020942 Loss_D_real: -0.024895 Loss_D_fake -0.005876
[1308/5000][40/535][134910] Loss_D: -0.019998 Loss_G: 0.019942 Loss_D_real: -0.014310 Loss_D_fake 0.005688
[1308/5000][45/535][134911] Loss_D: -0.019652 Loss_G: 0.008731 Loss_D_real: -0.016355 Loss_D_fake 0.003297
[1308/5000][50/535][134912] Loss_D: -0.020487 Loss_G: 0.000897 Loss_D_real: -0.021030 Loss_D_fake -0.000543
[1308/5000][55/535][134913] Loss_D: -0.021272 Loss_G: 0.023769 Loss_D_real: -0.019603 Loss_D_fake 0.001669
[1308/5000][60/535][134914] Loss_D: -0.020195 Loss_G: 0.012367 Loss_D_real: -0.028065 Loss_D_fake -0.007870
[1308/5000][65/535][134915] Loss_D: -0.019426 Loss_G: 0.001477 Loss_D_real: -0.023770 Loss_D_fake -0.004344
[1308/5000][70/535][134916] Loss_D: -0.019654 Loss_G: 0.010119 Loss_D_real: -0.020726 Loss_D_fake -0.001073
[1308/5000][75/535][134917] Loss_D: -0.019334 Loss_G: 0.019331 Loss_D_real: -0.022583 Loss_D_fake -0.003249
[1308/5000][80/535][134918] Loss_D: -0.017436 Loss_G: -0.005401 Loss_D_real: 0.003397 Loss_D_fake 0.020834
[1308/5000][85/535][134919] Loss_D: -0.020980 Loss_G: 0.019348 Loss_D_real: -0.019842 Loss_D_fake 0.001138
[1308/5000][90/535][134920] Loss_D: -0.018548 Loss_G: -0.006342 Loss_D_real: 0.003571 Loss_D_fake 0.022119
[1308/5000][95/535][134921] Loss_D: -0.021334 Loss_G: 0.019231 Loss_D_real: -0.011343 Loss_D_fake 0.009991
[1308/5000][100/535][134922] Loss_D: -0.019087 Loss_G: -0.000595 Loss_D_real: -0.007411 Loss_D_fake 0.011676
[1308/5000][105/535][134923] Loss_D: -0.020307 Loss_G: 0.021253 Loss_D_real: -0.024817 Loss_D_fake -0.004510
[1308/5000][110/535][134924] Loss_D: -0.019774 Loss_G: 0.001477 Loss_D_real: -0.010618 Loss_D_fake 0.009156
[1308/5000][115/535][134925] Loss_D: -0.019525 Loss_G: 0.015704 Loss_D_real: -0.026083 Loss_D_fake -0.006558
[1308/5000][120/535][134926] Loss_D: -0.020313 Loss_G: 0.002864 Loss_D_real: -0.013465 Loss_D_fake 0.006848
[1308/5000][125/535][134927] Loss_D: -0.019565 Loss_G: 0.010579 Loss_D_real: -0.027008 Loss_D_fake -0.007443
[1308/5000][130/535][134928] Loss_D: -0.020431 Loss_G: -0.004811 Loss_D_real: -0.009166 Loss_D_fake 0.011265
[1308/5000][135/535][134929] Loss_D: -0.019514 Loss_G: 0.007717 Loss_D_real: -0.026851 Loss_D_fake -0.007337
[1308/5000][140/535][134930] Loss_D: -0.019571 Loss_G: 0.019148 Loss_D_real: -0.023545 Loss_D_fake -0.003974
[1308/5000][145/535][134931] Loss_D: -0.019124 Loss_G: 0.016839 Loss_D_real: -0.020853 Loss_D_fake -0.001729
[1308/5000][150/535][134932] Loss_D: -0.019645 Loss_G: -0.005474 Loss_D_real: -0.010782 Loss_D_fake 0.008863
[1308/5000][155/535][134933] Loss_D: -0.021072 Loss_G: 0.000867 Loss_D_real: -0.025097 Loss_D_fake -0.004025
[1308/5000][160/535][134934] Loss_D: -0.020933 Loss_G: 0.009551 Loss_D_real: -0.023441 Loss_D_fake -0.002509
[1308/5000][165/535][134935] Loss_D: -0.020593 Loss_G: 0.011285 Loss_D_real: -0.010158 Loss_D_fake 0.010435
[1308/5000][170/535][134936] Loss_D: -0.020931 Loss_G: -0.000773 Loss_D_real: 0.000554 Loss_D_fake 0.021485
[1308/5000][175/535][134937] Loss_D: -0.020204 Loss_G: 0.007571 Loss_D_real: -0.016615 Loss_D_fake 0.003589
[1308/5000][180/535][134938] Loss_D: -0.021623 Loss_G: 0.014781 Loss_D_real: -0.027720 Loss_D_fake -0.006097
[1308/5000][185/535][134939] Loss_D: -0.020719 Loss_G: 0.005125 Loss_D_real: -0.014876 Loss_D_fake 0.005843
[1308/5000][190/535][134940] Loss_D: -0.019584 Loss_G: 0.003853 Loss_D_real: -0.025150 Loss_D_fake -0.005565
[1308/5000][195/535][134941] Loss_D: -0.020238 Loss_G: 0.015389 Loss_D_real: -0.025657 Loss_D_fake -0.005419
[1308/5000][200/535][134942] Loss_D: -0.019773 Loss_G: -0.004709 Loss_D_real: -0.014967 Loss_D_fake 0.004807
[1308/5000][205/535][134943] Loss_D: -0.018568 Loss_G: 0.012371 Loss_D_real: -0.021513 Loss_D_fake -0.002945
[1308/5000][210/535][134944] Loss_D: -0.021363 Loss_G: -0.004702 Loss_D_real: -0.020575 Loss_D_fake 0.000788
[1308/5000][215/535][134945] Loss_D: -0.018313 Loss_G: -0.005098 Loss_D_real: -0.019563 Loss_D_fake -0.001249
[1308/5000][220/535][134946] Loss_D: -0.019602 Loss_G: 0.001818 Loss_D_real: -0.008049 Loss_D_fake 0.011552
[1308/5000][225/535][134947] Loss_D: -0.018949 Loss_G: 0.010982 Loss_D_real: -0.023887 Loss_D_fake -0.004938
[1308/5000][230/535][134948] Loss_D: -0.020698 Loss_G: 0.009906 Loss_D_real: -0.014234 Loss_D_fake 0.006464
[1308/5000][235/535][134949] Loss_D: -0.018407 Loss_G: -0.018926 Loss_D_real: -0.002168 Loss_D_fake 0.016238
[1308/5000][240/535][134950] Loss_D: -0.019367 Loss_G: -0.000834 Loss_D_real: -0.009929 Loss_D_fake 0.009438
[1308/5000][245/535][134951] Loss_D: -0.019286 Loss_G: 0.014427 Loss_D_real: -0.020445 Loss_D_fake -0.001159
[1308/5000][250/535][134952] Loss_D: -0.018931 Loss_G: 0.004846 Loss_D_real: -0.017160 Loss_D_fake 0.001771
[1308/5000][255/535][134953] Loss_D: -0.020038 Loss_G: 0.005491 Loss_D_real: -0.018276 Loss_D_fake 0.001763
[1308/5000][260/535][134954] Loss_D: -0.019459 Loss_G: 0.008120 Loss_D_real: -0.026957 Loss_D_fake -0.007499
[1308/5000][265/535][134955] Loss_D: -0.019189 Loss_G: -0.002694 Loss_D_real: -0.003749 Loss_D_fake 0.015440
[1308/5000][270/535][134956] Loss_D: -0.018119 Loss_G: 0.004277 Loss_D_real: -0.013751 Loss_D_fake 0.004368
[1308/5000][275/535][134957] Loss_D: -0.018800 Loss_G: 0.019394 Loss_D_real: -0.025150 Loss_D_fake -0.006350
[1308/5000][280/535][134958] Loss_D: -0.018995 Loss_G: 0.022142 Loss_D_real: -0.022456 Loss_D_fake -0.003461
[1308/5000][285/535][134959] Loss_D: -0.020990 Loss_G: 0.012494 Loss_D_real: -0.017534 Loss_D_fake 0.003455
[1308/5000][290/535][134960] Loss_D: -0.020102 Loss_G: 0.005552 Loss_D_real: -0.012378 Loss_D_fake 0.007725
[1308/5000][295/535][134961] Loss_D: -0.019729 Loss_G: -0.001915 Loss_D_real: -0.020014 Loss_D_fake -0.000284
[1308/5000][300/535][134962] Loss_D: -0.018689 Loss_G: 0.004466 Loss_D_real: -0.027926 Loss_D_fake -0.009237
[1308/5000][305/535][134963] Loss_D: -0.018863 Loss_G: 0.007016 Loss_D_real: -0.020899 Loss_D_fake -0.002036
[1308/5000][310/535][134964] Loss_D: -0.019491 Loss_G: 0.009720 Loss_D_real: -0.017024 Loss_D_fake 0.002467
[1308/5000][315/535][134965] Loss_D: -0.019568 Loss_G: -0.000383 Loss_D_real: -0.012218 Loss_D_fake 0.007349
[1308/5000][320/535][134966] Loss_D: -0.019249 Loss_G: 0.003274 Loss_D_real: -0.006258 Loss_D_fake 0.012991
[1308/5000][325/535][134967] Loss_D: -0.019107 Loss_G: 0.010722 Loss_D_real: -0.026870 Loss_D_fake -0.007763
[1308/5000][330/535][134968] Loss_D: -0.019863 Loss_G: 0.002268 Loss_D_real: -0.016129 Loss_D_fake 0.003733
[1308/5000][335/535][134969] Loss_D: -0.020304 Loss_G: 0.002170 Loss_D_real: -0.012143 Loss_D_fake 0.008161
[1308/5000][340/535][134970] Loss_D: -0.020805 Loss_G: 0.019754 Loss_D_real: -0.018824 Loss_D_fake 0.001981
[1308/5000][345/535][134971] Loss_D: -0.020156 Loss_G: -0.006281 Loss_D_real: -0.014232 Loss_D_fake 0.005924
[1308/5000][350/535][134972] Loss_D: -0.020605 Loss_G: -0.001501 Loss_D_real: -0.011222 Loss_D_fake 0.009382
[1308/5000][355/535][134973] Loss_D: -0.018994 Loss_G: 0.025887 Loss_D_real: -0.016962 Loss_D_fake 0.002031
[1308/5000][360/535][134974] Loss_D: -0.019370 Loss_G: 0.018958 Loss_D_real: -0.019790 Loss_D_fake -0.000420
[1308/5000][365/535][134975] Loss_D: -0.019617 Loss_G: 0.014361 Loss_D_real: -0.031488 Loss_D_fake -0.011871
[1308/5000][370/535][134976] Loss_D: -0.021941 Loss_G: -0.002535 Loss_D_real: -0.014110 Loss_D_fake 0.007832
[1308/5000][375/535][134977] Loss_D: -0.021355 Loss_G: 0.018181 Loss_D_real: -0.017368 Loss_D_fake 0.003987
[1308/5000][380/535][134978] Loss_D: -0.018346 Loss_G: 0.010664 Loss_D_real: -0.026180 Loss_D_fake -0.007834
[1308/5000][385/535][134979] Loss_D: -0.019504 Loss_G: 0.017688 Loss_D_real: -0.019792 Loss_D_fake -0.000288
[1308/5000][390/535][134980] Loss_D: -0.020918 Loss_G: 0.003812 Loss_D_real: -0.012758 Loss_D_fake 0.008161
[1308/5000][395/535][134981] Loss_D: -0.020249 Loss_G: 0.003003 Loss_D_real: -0.018592 Loss_D_fake 0.001657
[1308/5000][400/535][134982] Loss_D: -0.020020 Loss_G: 0.001905 Loss_D_real: -0.011090 Loss_D_fake 0.008931
[1308/5000][405/535][134983] Loss_D: -0.020331 Loss_G: 0.028372 Loss_D_real: -0.027201 Loss_D_fake -0.006871
[1308/5000][410/535][134984] Loss_D: -0.018598 Loss_G: 0.005612 Loss_D_real: -0.008679 Loss_D_fake 0.009918
[1308/5000][415/535][134985] Loss_D: -0.020123 Loss_G: 0.011211 Loss_D_real: -0.015297 Loss_D_fake 0.004826
[1308/5000][420/535][134986] Loss_D: -0.020585 Loss_G: 0.009341 Loss_D_real: -0.014800 Loss_D_fake 0.005785
[1308/5000][425/535][134987] Loss_D: -0.019490 Loss_G: 0.004670 Loss_D_real: -0.003996 Loss_D_fake 0.015493
[1308/5000][430/535][134988] Loss_D: -0.018821 Loss_G: -0.014983 Loss_D_real: -0.003949 Loss_D_fake 0.014872
[1308/5000][435/535][134989] Loss_D: -0.017968 Loss_G: -0.011472 Loss_D_real: -0.007512 Loss_D_fake 0.010456
[1308/5000][440/535][134990] Loss_D: -0.020255 Loss_G: 0.014686 Loss_D_real: -0.019637 Loss_D_fake 0.000618
[1308/5000][445/535][134991] Loss_D: -0.019753 Loss_G: 0.016888 Loss_D_real: -0.023529 Loss_D_fake -0.003776
[1308/5000][450/535][134992] Loss_D: -0.019473 Loss_G: 0.011959 Loss_D_real: -0.016720 Loss_D_fake 0.002752
[1308/5000][455/535][134993] Loss_D: -0.019830 Loss_G: 0.003302 Loss_D_real: -0.021049 Loss_D_fake -0.001219
[1308/5000][460/535][134994] Loss_D: -0.019723 Loss_G: 0.011938 Loss_D_real: -0.018904 Loss_D_fake 0.000819
[1308/5000][465/535][134995] Loss_D: -0.019931 Loss_G: 0.016294 Loss_D_real: -0.028713 Loss_D_fake -0.008782
[1308/5000][470/535][134996] Loss_D: -0.019025 Loss_G: 0.013691 Loss_D_real: -0.026711 Loss_D_fake -0.007687
[1308/5000][475/535][134997] Loss_D: -0.020131 Loss_G: 0.006820 Loss_D_real: -0.022411 Loss_D_fake -0.002281
[1308/5000][480/535][134998] Loss_D: -0.019301 Loss_G: 0.003734 Loss_D_real: -0.020349 Loss_D_fake -0.001048
[1308/5000][485/535][134999] Loss_D: -0.020505 Loss_G: 0.006553 Loss_D_real: -0.015113 Loss_D_fake 0.005392
[1308/5000][490/535][135000] Loss_D: -0.019910 Loss_G: -0.002998 Loss_D_real: -0.008152 Loss_D_fake 0.011758
[1308/5000][535/535][135001] Loss_D: -0.017734 Loss_G: 0.019844 Loss_D_real: 0.002730 Loss_D_fake 0.020464
[1309/5000][5/535][135002] Loss_D: -0.019264 Loss_G: -0.005900 Loss_D_real: -0.004704 Loss_D_fake 0.014561
[1309/5000][10/535][135003] Loss_D: -0.017953 Loss_G: 0.001591 Loss_D_real: -0.013268 Loss_D_fake 0.004685
[1309/5000][15/535][135004] Loss_D: -0.017938 Loss_G: 0.009219 Loss_D_real: -0.023384 Loss_D_fake -0.005447
[1309/5000][20/535][135005] Loss_D: -0.019078 Loss_G: 0.016345 Loss_D_real: -0.027920 Loss_D_fake -0.008842
[1309/5000][25/535][135006] Loss_D: -0.019404 Loss_G: -0.014995 Loss_D_real: -0.004813 Loss_D_fake 0.014591
[1309/5000][30/535][135007] Loss_D: -0.019740 Loss_G: 0.010273 Loss_D_real: -0.024291 Loss_D_fake -0.004551
[1309/5000][35/535][135008] Loss_D: -0.017983 Loss_G: -0.002711 Loss_D_real: -0.009902 Loss_D_fake 0.008080
[1309/5000][40/535][135009] Loss_D: -0.017016 Loss_G: 0.029137 Loss_D_real: -0.025415 Loss_D_fake -0.008400
[1309/5000][45/535][135010] Loss_D: -0.018483 Loss_G: 0.000183 Loss_D_real: -0.006980 Loss_D_fake 0.011502
[1309/5000][50/535][135011] Loss_D: -0.019296 Loss_G: -0.000264 Loss_D_real: -0.017415 Loss_D_fake 0.001881
[1309/5000][55/535][135012] Loss_D: -0.018838 Loss_G: -0.008330 Loss_D_real: 0.000777 Loss_D_fake 0.019615
[1309/5000][60/535][135013] Loss_D: -0.019173 Loss_G: 0.008091 Loss_D_real: -0.029624 Loss_D_fake -0.010450
[1309/5000][65/535][135014] Loss_D: -0.019602 Loss_G: -0.023797 Loss_D_real: -0.006914 Loss_D_fake 0.012688
[1309/5000][70/535][135015] Loss_D: -0.017859 Loss_G: 0.021182 Loss_D_real: -0.015655 Loss_D_fake 0.002204
[1309/5000][75/535][135016] Loss_D: -0.018746 Loss_G: -0.000326 Loss_D_real: -0.007064 Loss_D_fake 0.011682
[1309/5000][80/535][135017] Loss_D: -0.016949 Loss_G: 0.024075 Loss_D_real: -0.021430 Loss_D_fake -0.004481
[1309/5000][85/535][135018] Loss_D: -0.019813 Loss_G: -0.010076 Loss_D_real: -0.003669 Loss_D_fake 0.016144
[1309/5000][90/535][135019] Loss_D: -0.019810 Loss_G: 0.005795 Loss_D_real: -0.030467 Loss_D_fake -0.010657
[1309/5000][95/535][135020] Loss_D: -0.020216 Loss_G: -0.000720 Loss_D_real: -0.007420 Loss_D_fake 0.012796
[1309/5000][100/535][135021] Loss_D: -0.019484 Loss_G: 0.012081 Loss_D_real: -0.027289 Loss_D_fake -0.007805
[1309/5000][105/535][135022] Loss_D: -0.020073 Loss_G: 0.000382 Loss_D_real: -0.010069 Loss_D_fake 0.010004
[1309/5000][110/535][135023] Loss_D: -0.020818 Loss_G: 0.008418 Loss_D_real: -0.030038 Loss_D_fake -0.009220
[1309/5000][115/535][135024] Loss_D: -0.020740 Loss_G: 0.000952 Loss_D_real: -0.013604 Loss_D_fake 0.007136
[1309/5000][120/535][135025] Loss_D: -0.020375 Loss_G: 0.014659 Loss_D_real: -0.017700 Loss_D_fake 0.002675
[1309/5000][125/535][135026] Loss_D: -0.020048 Loss_G: 0.022327 Loss_D_real: -0.026608 Loss_D_fake -0.006560
[1309/5000][130/535][135027] Loss_D: -0.020534 Loss_G: 0.011835 Loss_D_real: -0.012312 Loss_D_fake 0.008222
[1309/5000][135/535][135028] Loss_D: -0.020007 Loss_G: 0.010960 Loss_D_real: -0.020822 Loss_D_fake -0.000814
[1309/5000][140/535][135029] Loss_D: -0.020437 Loss_G: 0.014117 Loss_D_real: -0.023625 Loss_D_fake -0.003188
[1309/5000][145/535][135030] Loss_D: -0.019257 Loss_G: 0.010640 Loss_D_real: -0.014357 Loss_D_fake 0.004900
[1309/5000][150/535][135031] Loss_D: -0.019835 Loss_G: 0.010244 Loss_D_real: -0.015019 Loss_D_fake 0.004816
[1309/5000][155/535][135032] Loss_D: -0.020740 Loss_G: 0.012735 Loss_D_real: -0.006279 Loss_D_fake 0.014462
[1309/5000][160/535][135033] Loss_D: -0.020360 Loss_G: 0.029040 Loss_D_real: -0.025874 Loss_D_fake -0.005514
[1309/5000][165/535][135034] Loss_D: -0.018293 Loss_G: 0.003650 Loss_D_real: -0.011553 Loss_D_fake 0.006740
[1309/5000][170/535][135035] Loss_D: -0.019507 Loss_G: 0.003425 Loss_D_real: -0.027901 Loss_D_fake -0.008394
[1309/5000][175/535][135036] Loss_D: -0.019776 Loss_G: -0.005186 Loss_D_real: -0.016316 Loss_D_fake 0.003459
[1309/5000][180/535][135037] Loss_D: -0.019900 Loss_G: 0.014152 Loss_D_real: -0.027913 Loss_D_fake -0.008014
[1309/5000][185/535][135038] Loss_D: -0.019317 Loss_G: -0.002554 Loss_D_real: -0.014689 Loss_D_fake 0.004628
[1309/5000][190/535][135039] Loss_D: -0.016884 Loss_G: 0.012607 Loss_D_real: -0.028398 Loss_D_fake -0.011514
[1309/5000][195/535][135040] Loss_D: -0.020464 Loss_G: 0.016879 Loss_D_real: -0.006975 Loss_D_fake 0.013489
[1309/5000][200/535][135041] Loss_D: -0.020805 Loss_G: 0.010084 Loss_D_real: -0.013344 Loss_D_fake 0.007460
[1309/5000][205/535][135042] Loss_D: -0.018842 Loss_G: 0.006025 Loss_D_real: -0.016910 Loss_D_fake 0.001932
[1309/5000][210/535][135043] Loss_D: -0.019074 Loss_G: 0.011375 Loss_D_real: -0.017668 Loss_D_fake 0.001405
[1309/5000][215/535][135044] Loss_D: -0.020361 Loss_G: 0.001748 Loss_D_real: -0.009485 Loss_D_fake 0.010875
[1309/5000][220/535][135045] Loss_D: -0.018558 Loss_G: 0.026072 Loss_D_real: -0.030028 Loss_D_fake -0.011470
[1309/5000][225/535][135046] Loss_D: -0.020629 Loss_G: 0.001265 Loss_D_real: -0.004862 Loss_D_fake 0.015767
[1309/5000][230/535][135047] Loss_D: -0.020180 Loss_G: 0.002328 Loss_D_real: -0.014152 Loss_D_fake 0.006029
[1309/5000][235/535][135048] Loss_D: -0.020292 Loss_G: 0.018635 Loss_D_real: -0.012106 Loss_D_fake 0.008186
[1309/5000][240/535][135049] Loss_D: -0.019229 Loss_G: 0.023662 Loss_D_real: -0.035819 Loss_D_fake -0.016590
[1309/5000][245/535][135050] Loss_D: -0.019207 Loss_G: 0.012308 Loss_D_real: -0.014884 Loss_D_fake 0.004323
[1309/5000][250/535][135051] Loss_D: -0.019931 Loss_G: 0.008438 Loss_D_real: -0.025078 Loss_D_fake -0.005147
[1309/5000][255/535][135052] Loss_D: -0.020472 Loss_G: 0.005154 Loss_D_real: -0.010481 Loss_D_fake 0.009991
[1309/5000][260/535][135053] Loss_D: -0.020069 Loss_G: 0.019503 Loss_D_real: -0.014927 Loss_D_fake 0.005142
[1309/5000][265/535][135054] Loss_D: -0.019168 Loss_G: 0.013839 Loss_D_real: -0.022686 Loss_D_fake -0.003518
[1309/5000][270/535][135055] Loss_D: -0.019308 Loss_G: 0.017969 Loss_D_real: -0.019393 Loss_D_fake -0.000085
[1309/5000][275/535][135056] Loss_D: -0.018717 Loss_G: 0.014538 Loss_D_real: -0.028038 Loss_D_fake -0.009321
[1309/5000][280/535][135057] Loss_D: -0.020534 Loss_G: -0.006358 Loss_D_real: -0.014451 Loss_D_fake 0.006083
[1309/5000][285/535][135058] Loss_D: -0.019713 Loss_G: -0.010538 Loss_D_real: 0.005521 Loss_D_fake 0.025233
[1309/5000][290/535][135059] Loss_D: -0.019239 Loss_G: -0.004269 Loss_D_real: 0.001346 Loss_D_fake 0.020585
[1309/5000][295/535][135060] Loss_D: -0.019943 Loss_G: -0.007041 Loss_D_real: 0.002004 Loss_D_fake 0.021946
[1309/5000][300/535][135061] Loss_D: -0.020119 Loss_G: 0.005307 Loss_D_real: -0.014248 Loss_D_fake 0.005871
[1309/5000][305/535][135062] Loss_D: -0.020412 Loss_G: 0.013594 Loss_D_real: -0.016596 Loss_D_fake 0.003816
[1309/5000][310/535][135063] Loss_D: -0.018897 Loss_G: -0.007124 Loss_D_real: -0.002748 Loss_D_fake 0.016150
[1309/5000][315/535][135064] Loss_D: -0.018840 Loss_G: 0.026651 Loss_D_real: -0.028530 Loss_D_fake -0.009690
[1309/5000][320/535][135065] Loss_D: -0.018968 Loss_G: 0.004425 Loss_D_real: -0.009331 Loss_D_fake 0.009638
[1309/5000][325/535][135066] Loss_D: -0.019815 Loss_G: 0.010569 Loss_D_real: -0.024297 Loss_D_fake -0.004482
[1309/5000][330/535][135067] Loss_D: -0.020442 Loss_G: -0.010630 Loss_D_real: -0.013066 Loss_D_fake 0.007376
[1309/5000][335/535][135068] Loss_D: -0.018362 Loss_G: 0.032287 Loss_D_real: -0.034288 Loss_D_fake -0.015926
[1309/5000][340/535][135069] Loss_D: -0.021136 Loss_G: 0.012495 Loss_D_real: -0.017688 Loss_D_fake 0.003448
[1309/5000][345/535][135070] Loss_D: -0.019551 Loss_G: 0.006933 Loss_D_real: -0.013760 Loss_D_fake 0.005791
[1309/5000][350/535][135071] Loss_D: -0.019851 Loss_G: -0.000910 Loss_D_real: -0.014585 Loss_D_fake 0.005266
[1309/5000][355/535][135072] Loss_D: -0.019376 Loss_G: -0.011743 Loss_D_real: -0.005956 Loss_D_fake 0.013420
[1309/5000][360/535][135073] Loss_D: -0.019739 Loss_G: 0.000921 Loss_D_real: -0.007545 Loss_D_fake 0.012194
[1309/5000][365/535][135074] Loss_D: -0.019439 Loss_G: 0.007870 Loss_D_real: -0.007359 Loss_D_fake 0.012080
[1309/5000][370/535][135075] Loss_D: -0.020414 Loss_G: 0.030158 Loss_D_real: -0.030442 Loss_D_fake -0.010028
[1309/5000][375/535][135076] Loss_D: -0.018821 Loss_G: 0.017677 Loss_D_real: -0.017431 Loss_D_fake 0.001390
[1309/5000][380/535][135077] Loss_D: -0.018622 Loss_G: 0.016335 Loss_D_real: -0.020144 Loss_D_fake -0.001522
[1309/5000][385/535][135078] Loss_D: -0.020146 Loss_G: -0.012928 Loss_D_real: 0.000789 Loss_D_fake 0.020936
[1309/5000][390/535][135079] Loss_D: -0.021023 Loss_G: 0.004917 Loss_D_real: -0.013593 Loss_D_fake 0.007431
[1309/5000][395/535][135080] Loss_D: -0.019145 Loss_G: 0.016274 Loss_D_real: -0.009787 Loss_D_fake 0.009358
[1309/5000][400/535][135081] Loss_D: -0.017661 Loss_G: 0.015646 Loss_D_real: -0.033784 Loss_D_fake -0.016123
[1309/5000][405/535][135082] Loss_D: -0.018610 Loss_G: 0.023238 Loss_D_real: -0.017088 Loss_D_fake 0.001522
[1309/5000][410/535][135083] Loss_D: -0.018704 Loss_G: 0.024751 Loss_D_real: -0.021113 Loss_D_fake -0.002409
[1309/5000][415/535][135084] Loss_D: -0.019739 Loss_G: -0.000258 Loss_D_real: -0.011406 Loss_D_fake 0.008333
[1309/5000][420/535][135085] Loss_D: -0.018285 Loss_G: -0.010213 Loss_D_real: -0.005249 Loss_D_fake 0.013036
[1309/5000][425/535][135086] Loss_D: -0.018998 Loss_G: -0.009587 Loss_D_real: 0.000300 Loss_D_fake 0.019299
[1309/5000][430/535][135087] Loss_D: -0.018961 Loss_G: 0.022882 Loss_D_real: -0.020496 Loss_D_fake -0.001535
[1309/5000][435/535][135088] Loss_D: -0.018665 Loss_G: 0.021354 Loss_D_real: -0.027092 Loss_D_fake -0.008428
[1309/5000][440/535][135089] Loss_D: -0.020136 Loss_G: 0.003548 Loss_D_real: -0.008269 Loss_D_fake 0.011867
[1309/5000][445/535][135090] Loss_D: -0.019967 Loss_G: 0.007069 Loss_D_real: -0.013140 Loss_D_fake 0.006827
[1309/5000][450/535][135091] Loss_D: -0.019082 Loss_G: -0.002688 Loss_D_real: -0.002866 Loss_D_fake 0.016216
[1309/5000][455/535][135092] Loss_D: -0.020791 Loss_G: 0.010984 Loss_D_real: -0.010923 Loss_D_fake 0.009867
[1309/5000][460/535][135093] Loss_D: -0.019346 Loss_G: -0.009680 Loss_D_real: -0.002367 Loss_D_fake 0.016979
[1309/5000][465/535][135094] Loss_D: -0.018458 Loss_G: 0.031417 Loss_D_real: -0.024519 Loss_D_fake -0.006061
[1309/5000][470/535][135095] Loss_D: -0.019683 Loss_G: 0.016049 Loss_D_real: -0.018301 Loss_D_fake 0.001383
[1309/5000][475/535][135096] Loss_D: -0.021004 Loss_G: -0.006279 Loss_D_real: -0.015611 Loss_D_fake 0.005394
[1309/5000][480/535][135097] Loss_D: -0.019833 Loss_G: 0.017388 Loss_D_real: -0.025509 Loss_D_fake -0.005676
[1309/5000][485/535][135098] Loss_D: -0.019714 Loss_G: 0.001859 Loss_D_real: -0.001552 Loss_D_fake 0.018162
[1309/5000][490/535][135099] Loss_D: -0.019096 Loss_G: 0.004813 Loss_D_real: -0.001279 Loss_D_fake 0.017817
[1309/5000][495/535][135100] Loss_D: -0.021414 Loss_G: -0.006897 Loss_D_real: -0.017188 Loss_D_fake 0.004226
[1309/5000][500/535][135101] Loss_D: -0.019487 Loss_G: 0.012970 Loss_D_real: -0.028261 Loss_D_fake -0.008774
[1309/5000][505/535][135102] Loss_D: -0.020218 Loss_G: 0.008785 Loss_D_real: -0.013716 Loss_D_fake 0.006502
[1309/5000][510/535][135103] Loss_D: -0.018356 Loss_G: 0.004199 Loss_D_real: -0.020152 Loss_D_fake -0.001796
[1309/5000][515/535][135104] Loss_D: -0.019582 Loss_G: -0.002591 Loss_D_real: 0.000797 Loss_D_fake 0.020379
[1309/5000][520/535][135105] Loss_D: -0.020244 Loss_G: -0.001473 Loss_D_real: -0.017807 Loss_D_fake 0.002436
[1309/5000][525/535][135106] Loss_D: -0.020349 Loss_G: -0.000398 Loss_D_real: -0.006246 Loss_D_fake 0.014102
[1309/5000][530/535][135107] Loss_D: -0.020512 Loss_G: -0.001797 Loss_D_real: 0.005308 Loss_D_fake 0.025820
[1309/5000][535/535][135108] Loss_D: -0.017098 Loss_G: -0.005936 Loss_D_real: -0.027154 Loss_D_fake -0.010055
[1310/5000][5/535][135109] Loss_D: -0.019791 Loss_G: 0.017784 Loss_D_real: -0.030307 Loss_D_fake -0.010515
[1310/5000][10/535][135110] Loss_D: -0.021378 Loss_G: 0.000829 Loss_D_real: 0.001234 Loss_D_fake 0.022612
[1310/5000][15/535][135111] Loss_D: -0.020314 Loss_G: 0.014142 Loss_D_real: -0.013765 Loss_D_fake 0.006549
[1310/5000][20/535][135112] Loss_D: -0.019292 Loss_G: 0.006780 Loss_D_real: -0.010405 Loss_D_fake 0.008886
[1310/5000][25/535][135113] Loss_D: -0.020293 Loss_G: -0.008018 Loss_D_real: -0.007575 Loss_D_fake 0.012718
[1310/5000][30/535][135114] Loss_D: -0.021511 Loss_G: 0.012239 Loss_D_real: -0.019765 Loss_D_fake 0.001746
[1310/5000][35/535][135115] Loss_D: -0.020678 Loss_G: 0.009075 Loss_D_real: -0.014238 Loss_D_fake 0.006440
[1310/5000][40/535][135116] Loss_D: -0.019454 Loss_G: 0.020057 Loss_D_real: -0.024610 Loss_D_fake -0.005156
[1310/5000][45/535][135117] Loss_D: -0.020539 Loss_G: 0.008629 Loss_D_real: -0.013856 Loss_D_fake 0.006682
[1310/5000][50/535][135118] Loss_D: -0.020273 Loss_G: 0.004574 Loss_D_real: -0.011134 Loss_D_fake 0.009139
[1310/5000][55/535][135119] Loss_D: -0.019779 Loss_G: 0.011224 Loss_D_real: -0.009783 Loss_D_fake 0.009996
[1310/5000][60/535][135120] Loss_D: -0.019151 Loss_G: 0.025456 Loss_D_real: -0.022744 Loss_D_fake -0.003593
[1310/5000][65/535][135121] Loss_D: -0.020349 Loss_G: 0.002793 Loss_D_real: -0.007850 Loss_D_fake 0.012500
[1310/5000][70/535][135122] Loss_D: -0.020004 Loss_G: 0.022827 Loss_D_real: -0.026813 Loss_D_fake -0.006809
[1310/5000][75/535][135123] Loss_D: -0.019478 Loss_G: -0.001051 Loss_D_real: -0.018095 Loss_D_fake 0.001383
[1310/5000][80/535][135124] Loss_D: -0.020334 Loss_G: -0.005096 Loss_D_real: -0.005442 Loss_D_fake 0.014892
[1310/5000][85/535][135125] Loss_D: -0.020835 Loss_G: 0.023820 Loss_D_real: -0.027235 Loss_D_fake -0.006400
[1310/5000][90/535][135126] Loss_D: -0.020701 Loss_G: 0.002867 Loss_D_real: -0.006909 Loss_D_fake 0.013792
[1310/5000][95/535][135127] Loss_D: -0.018380 Loss_G: -0.015267 Loss_D_real: 0.003851 Loss_D_fake 0.022231
[1310/5000][100/535][135128] Loss_D: -0.020166 Loss_G: 0.003875 Loss_D_real: -0.019331 Loss_D_fake 0.000835
[1310/5000][105/535][135129] Loss_D: -0.019663 Loss_G: -0.002885 Loss_D_real: -0.006931 Loss_D_fake 0.012732
[1310/5000][110/535][135130] Loss_D: -0.019533 Loss_G: -0.008291 Loss_D_real: -0.014566 Loss_D_fake 0.004967
[1310/5000][115/535][135131] Loss_D: -0.018559 Loss_G: 0.009225 Loss_D_real: -0.008955 Loss_D_fake 0.009603
[1310/5000][120/535][135132] Loss_D: -0.020057 Loss_G: 0.015289 Loss_D_real: -0.021391 Loss_D_fake -0.001334
[1310/5000][125/535][135133] Loss_D: -0.021550 Loss_G: 0.011409 Loss_D_real: -0.017150 Loss_D_fake 0.004401
[1310/5000][130/535][135134] Loss_D: -0.021118 Loss_G: -0.003991 Loss_D_real: 0.000980 Loss_D_fake 0.022098
[1310/5000][135/535][135135] Loss_D: -0.021675 Loss_G: 0.018386 Loss_D_real: -0.025345 Loss_D_fake -0.003670
[1310/5000][140/535][135136] Loss_D: -0.020504 Loss_G: -0.007180 Loss_D_real: -0.008274 Loss_D_fake 0.012230
[1310/5000][145/535][135137] Loss_D: -0.018021 Loss_G: 0.009385 Loss_D_real: -0.025641 Loss_D_fake -0.007620
[1310/5000][150/535][135138] Loss_D: -0.019705 Loss_G: 0.000756 Loss_D_real: 0.000434 Loss_D_fake 0.020140
[1310/5000][155/535][135139] Loss_D: -0.020782 Loss_G: 0.003936 Loss_D_real: -0.007141 Loss_D_fake 0.013641
[1310/5000][160/535][135140] Loss_D: -0.021573 Loss_G: 0.011193 Loss_D_real: -0.022090 Loss_D_fake -0.000517
[1310/5000][165/535][135141] Loss_D: -0.020027 Loss_G: 0.017164 Loss_D_real: -0.018266 Loss_D_fake 0.001761
[1310/5000][170/535][135142] Loss_D: -0.020243 Loss_G: 0.026785 Loss_D_real: -0.019197 Loss_D_fake 0.001046
[1310/5000][175/535][135143] Loss_D: -0.019093 Loss_G: 0.010427 Loss_D_real: -0.013393 Loss_D_fake 0.005700
[1310/5000][180/535][135144] Loss_D: -0.020190 Loss_G: -0.005344 Loss_D_real: -0.005364 Loss_D_fake 0.014826
[1310/5000][185/535][135145] Loss_D: -0.019541 Loss_G: -0.003225 Loss_D_real: -0.004019 Loss_D_fake 0.015522
[1310/5000][190/535][135146] Loss_D: -0.017391 Loss_G: -0.004820 Loss_D_real: 0.007526 Loss_D_fake 0.024917
[1310/5000][195/535][135147] Loss_D: -0.019519 Loss_G: 0.000193 Loss_D_real: -0.016300 Loss_D_fake 0.003219
[1310/5000][200/535][135148] Loss_D: -0.019498 Loss_G: 0.005246 Loss_D_real: -0.004246 Loss_D_fake 0.015252
[1310/5000][205/535][135149] Loss_D: -0.020742 Loss_G: 0.002020 Loss_D_real: -0.005735 Loss_D_fake 0.015007
[1310/5000][210/535][135150] Loss_D: -0.021487 Loss_G: 0.015776 Loss_D_real: -0.028040 Loss_D_fake -0.006552
[1310/5000][215/535][135151] Loss_D: -0.020806 Loss_G: 0.010981 Loss_D_real: -0.018450 Loss_D_fake 0.002355
[1310/5000][220/535][135152] Loss_D: -0.020952 Loss_G: 0.003826 Loss_D_real: -0.031101 Loss_D_fake -0.010149
[1310/5000][225/535][135153] Loss_D: -0.019472 Loss_G: -0.000519 Loss_D_real: -0.002341 Loss_D_fake 0.017130
[1310/5000][230/535][135154] Loss_D: -0.020848 Loss_G: -0.010809 Loss_D_real: 0.002348 Loss_D_fake 0.023196
[1310/5000][235/535][135155] Loss_D: -0.018672 Loss_G: 0.022672 Loss_D_real: -0.033802 Loss_D_fake -0.015130
[1310/5000][240/535][135156] Loss_D: -0.019305 Loss_G: 0.021656 Loss_D_real: -0.014362 Loss_D_fake 0.004944
[1310/5000][245/535][135157] Loss_D: -0.020218 Loss_G: 0.009170 Loss_D_real: -0.015085 Loss_D_fake 0.005133
[1310/5000][250/535][135158] Loss_D: -0.019872 Loss_G: 0.006772 Loss_D_real: -0.013049 Loss_D_fake 0.006823
[1310/5000][255/535][135159] Loss_D: -0.019193 Loss_G: 0.006581 Loss_D_real: -0.025077 Loss_D_fake -0.005884
[1310/5000][260/535][135160] Loss_D: -0.018684 Loss_G: -0.007044 Loss_D_real: 0.003155 Loss_D_fake 0.021838
[1310/5000][265/535][135161] Loss_D: -0.020400 Loss_G: 0.014916 Loss_D_real: -0.013679 Loss_D_fake 0.006721
[1310/5000][270/535][135162] Loss_D: -0.019748 Loss_G: 0.022419 Loss_D_real: -0.022592 Loss_D_fake -0.002844
[1310/5000][275/535][135163] Loss_D: -0.018669 Loss_G: -0.000503 Loss_D_real: -0.021012 Loss_D_fake -0.002343
[1310/5000][280/535][135164] Loss_D: -0.020627 Loss_G: 0.003553 Loss_D_real: -0.020582 Loss_D_fake 0.000045
[1310/5000][285/535][135165] Loss_D: -0.021210 Loss_G: 0.030956 Loss_D_real: -0.015147 Loss_D_fake 0.006063
[1310/5000][290/535][135166] Loss_D: -0.019882 Loss_G: -0.003016 Loss_D_real: 0.002062 Loss_D_fake 0.021944
[1310/5000][295/535][135167] Loss_D: -0.020105 Loss_G: 0.021719 Loss_D_real: -0.026956 Loss_D_fake -0.006851
[1310/5000][300/535][135168] Loss_D: -0.019736 Loss_G: -0.010991 Loss_D_real: -0.014281 Loss_D_fake 0.005455
[1310/5000][305/535][135169] Loss_D: -0.017764 Loss_G: -0.013971 Loss_D_real: 0.001060 Loss_D_fake 0.018824
[1310/5000][310/535][135170] Loss_D: -0.019918 Loss_G: 0.006450 Loss_D_real: -0.012842 Loss_D_fake 0.007075
[1310/5000][315/535][135171] Loss_D: -0.018882 Loss_G: -0.009101 Loss_D_real: -0.008149 Loss_D_fake 0.010734
[1310/5000][320/535][135172] Loss_D: -0.020066 Loss_G: 0.003650 Loss_D_real: -0.018015 Loss_D_fake 0.002052
[1310/5000][325/535][135173] Loss_D: -0.019073 Loss_G: -0.000514 Loss_D_real: -0.005731 Loss_D_fake 0.013343
[1310/5000][330/535][135174] Loss_D: -0.018634 Loss_G: 0.021882 Loss_D_real: -0.023678 Loss_D_fake -0.005044
[1310/5000][335/535][135175] Loss_D: -0.020399 Loss_G: 0.006778 Loss_D_real: -0.008552 Loss_D_fake 0.011847
[1310/5000][340/535][135176] Loss_D: -0.018633 Loss_G: 0.014530 Loss_D_real: -0.029065 Loss_D_fake -0.010432
[1310/5000][345/535][135177] Loss_D: -0.020155 Loss_G: -0.002507 Loss_D_real: -0.008160 Loss_D_fake 0.011995
[1310/5000][350/535][135178] Loss_D: -0.019088 Loss_G: 0.015744 Loss_D_real: -0.020191 Loss_D_fake -0.001104
[1310/5000][355/535][135179] Loss_D: -0.019889 Loss_G: 0.008420 Loss_D_real: -0.002048 Loss_D_fake 0.017841
[1310/5000][360/535][135180] Loss_D: -0.020015 Loss_G: 0.007981 Loss_D_real: -0.001108 Loss_D_fake 0.018907
[1310/5000][365/535][135181] Loss_D: -0.019501 Loss_G: 0.007803 Loss_D_real: -0.022480 Loss_D_fake -0.002979
[1310/5000][370/535][135182] Loss_D: -0.019514 Loss_G: 0.021441 Loss_D_real: -0.037550 Loss_D_fake -0.018036
[1310/5000][375/535][135183] Loss_D: -0.020723 Loss_G: 0.009329 Loss_D_real: -0.014633 Loss_D_fake 0.006090
[1310/5000][380/535][135184] Loss_D: -0.020508 Loss_G: 0.000708 Loss_D_real: 0.001503 Loss_D_fake 0.022011
[1310/5000][385/535][135185] Loss_D: -0.020122 Loss_G: -0.004113 Loss_D_real: -0.012615 Loss_D_fake 0.007507
[1310/5000][390/535][135186] Loss_D: -0.020645 Loss_G: 0.009073 Loss_D_real: -0.018391 Loss_D_fake 0.002254
[1310/5000][395/535][135187] Loss_D: -0.019845 Loss_G: 0.007939 Loss_D_real: -0.019158 Loss_D_fake 0.000687
[1310/5000][400/535][135188] Loss_D: -0.019851 Loss_G: 0.016928 Loss_D_real: -0.028120 Loss_D_fake -0.008269
[1310/5000][405/535][135189] Loss_D: -0.018445 Loss_G: -0.011695 Loss_D_real: -0.004377 Loss_D_fake 0.014068
[1310/5000][410/535][135190] Loss_D: -0.020473 Loss_G: -0.002224 Loss_D_real: -0.015200 Loss_D_fake 0.005273
[1310/5000][415/535][135191] Loss_D: -0.020539 Loss_G: 0.000265 Loss_D_real: -0.007875 Loss_D_fake 0.012664
[1310/5000][420/535][135192] Loss_D: -0.020129 Loss_G: 0.022981 Loss_D_real: -0.023481 Loss_D_fake -0.003353
[1310/5000][425/535][135193] Loss_D: -0.019591 Loss_G: 0.023076 Loss_D_real: -0.017188 Loss_D_fake 0.002403
[1310/5000][430/535][135194] Loss_D: -0.020249 Loss_G: -0.013750 Loss_D_real: -0.007310 Loss_D_fake 0.012938
[1310/5000][435/535][135195] Loss_D: -0.020706 Loss_G: 0.016001 Loss_D_real: -0.020600 Loss_D_fake 0.000106
[1310/5000][440/535][135196] Loss_D: -0.019634 Loss_G: 0.017330 Loss_D_real: -0.025099 Loss_D_fake -0.005465
[1310/5000][445/535][135197] Loss_D: -0.020353 Loss_G: -0.007636 Loss_D_real: -0.013525 Loss_D_fake 0.006828
[1310/5000][450/535][135198] Loss_D: -0.020477 Loss_G: -0.001588 Loss_D_real: -0.010997 Loss_D_fake 0.009480
[1310/5000][455/535][135199] Loss_D: -0.020681 Loss_G: 0.020657 Loss_D_real: -0.011286 Loss_D_fake 0.009394
[1310/5000][460/535][135200] Loss_D: -0.020227 Loss_G: -0.000864 Loss_D_real: -0.011840 Loss_D_fake 0.008387
[1310/5000][465/535][135201] Loss_D: -0.021565 Loss_G: 0.009669 Loss_D_real: -0.007997 Loss_D_fake 0.013568
[1310/5000][470/535][135202] Loss_D: -0.020505 Loss_G: -0.009413 Loss_D_real: 0.001077 Loss_D_fake 0.021581
[1310/5000][475/535][135203] Loss_D: -0.020529 Loss_G: 0.001636 Loss_D_real: -0.016375 Loss_D_fake 0.004154
[1310/5000][480/535][135204] Loss_D: -0.020330 Loss_G: 0.011058 Loss_D_real: -0.014291 Loss_D_fake 0.006040
[1310/5000][485/535][135205] Loss_D: -0.019386 Loss_G: -0.002436 Loss_D_real: -0.006129 Loss_D_fake 0.013258
[1310/5000][490/535][135206] Loss_D: -0.019576 Loss_G: 0.027889 Loss_D_real: -0.025490 Loss_D_fake -0.005914
[1310/5000][495/535][135207] Loss_D: -0.019954 Loss_G: 0.006627 Loss_D_real: -0.019812 Loss_D_fake 0.000141
[1310/5000][500/535][135208] Loss_D: -0.019088 Loss_G: 0.005349 Loss_D_real: -0.026236 Loss_D_fake -0.007148
[1310/5000][505/535][135209] Loss_D: -0.019531 Loss_G: 0.017058 Loss_D_real: -0.021578 Loss_D_fake -0.002047
[1310/5000][510/535][135210] Loss_D: -0.020951 Loss_G: -0.002488 Loss_D_real: -0.005865 Loss_D_fake 0.015086
[1310/5000][515/535][135211] Loss_D: -0.019480 Loss_G: 0.002656 Loss_D_real: -0.015765 Loss_D_fake 0.003716
[1310/5000][520/535][135212] Loss_D: -0.018190 Loss_G: 0.020330 Loss_D_real: -0.030729 Loss_D_fake -0.012540
[1310/5000][525/535][135213] Loss_D: -0.018249 Loss_G: -0.000545 Loss_D_real: 0.004004 Loss_D_fake 0.022252
[1310/5000][530/535][135214] Loss_D: -0.020160 Loss_G: 0.022273 Loss_D_real: -0.009567 Loss_D_fake 0.010593
[1310/5000][535/535][135215] Loss_D: -0.015175 Loss_G: -0.026367 Loss_D_real: -0.001775 Loss_D_fake 0.013400
[1311/5000][5/535][135216] Loss_D: -0.021065 Loss_G: 0.022798 Loss_D_real: -0.023033 Loss_D_fake -0.001968
[1311/5000][10/535][135217] Loss_D: -0.019712 Loss_G: 0.000313 Loss_D_real: -0.011286 Loss_D_fake 0.008426
[1311/5000][15/535][135218] Loss_D: -0.019055 Loss_G: 0.010631 Loss_D_real: -0.019440 Loss_D_fake -0.000385
[1311/5000][20/535][135219] Loss_D: -0.018284 Loss_G: -0.000522 Loss_D_real: -0.003320 Loss_D_fake 0.014964
[1311/5000][25/535][135220] Loss_D: -0.019164 Loss_G: 0.018860 Loss_D_real: -0.020167 Loss_D_fake -0.001003
[1311/5000][30/535][135221] Loss_D: -0.019971 Loss_G: 0.002801 Loss_D_real: -0.021282 Loss_D_fake -0.001311
[1311/5000][35/535][135222] Loss_D: -0.019340 Loss_G: 0.019163 Loss_D_real: -0.020061 Loss_D_fake -0.000721
[1311/5000][40/535][135223] Loss_D: -0.019998 Loss_G: 0.002407 Loss_D_real: -0.015564 Loss_D_fake 0.004435
[1311/5000][45/535][135224] Loss_D: -0.020008 Loss_G: 0.018057 Loss_D_real: -0.027566 Loss_D_fake -0.007558
[1311/5000][50/535][135225] Loss_D: -0.020274 Loss_G: -0.002282 Loss_D_real: -0.019438 Loss_D_fake 0.000836
[1311/5000][55/535][135226] Loss_D: -0.020065 Loss_G: -0.004425 Loss_D_real: -0.005319 Loss_D_fake 0.014747
[1311/5000][60/535][135227] Loss_D: -0.019460 Loss_G: 0.028336 Loss_D_real: -0.030481 Loss_D_fake -0.011021
[1311/5000][65/535][135228] Loss_D: -0.020729 Loss_G: 0.007307 Loss_D_real: -0.015328 Loss_D_fake 0.005400
[1311/5000][70/535][135229] Loss_D: -0.019395 Loss_G: -0.000563 Loss_D_real: -0.017498 Loss_D_fake 0.001897
[1311/5000][75/535][135230] Loss_D: -0.020713 Loss_G: 0.007884 Loss_D_real: -0.014765 Loss_D_fake 0.005949
[1311/5000][80/535][135231] Loss_D: -0.019987 Loss_G: 0.012010 Loss_D_real: -0.003261 Loss_D_fake 0.016726
[1311/5000][85/535][135232] Loss_D: -0.019112 Loss_G: 0.009856 Loss_D_real: -0.013949 Loss_D_fake 0.005163
[1311/5000][90/535][135233] Loss_D: -0.017907 Loss_G: 0.031025 Loss_D_real: -0.027633 Loss_D_fake -0.009727
[1311/5000][95/535][135234] Loss_D: -0.021154 Loss_G: 0.009133 Loss_D_real: -0.017946 Loss_D_fake 0.003208
[1311/5000][100/535][135235] Loss_D: -0.019512 Loss_G: 0.019324 Loss_D_real: -0.023022 Loss_D_fake -0.003509
[1311/5000][105/535][135236] Loss_D: -0.019217 Loss_G: -0.000062 Loss_D_real: -0.017154 Loss_D_fake 0.002063
[1311/5000][110/535][135237] Loss_D: -0.018926 Loss_G: 0.014500 Loss_D_real: -0.022752 Loss_D_fake -0.003826
[1311/5000][115/535][135238] Loss_D: -0.020476 Loss_G: 0.006461 Loss_D_real: -0.008567 Loss_D_fake 0.011909
[1311/5000][120/535][135239] Loss_D: -0.019987 Loss_G: 0.016786 Loss_D_real: -0.019685 Loss_D_fake 0.000303
[1311/5000][125/535][135240] Loss_D: -0.019982 Loss_G: -0.000221 Loss_D_real: -0.009371 Loss_D_fake 0.010611
[1311/5000][130/535][135241] Loss_D: -0.019363 Loss_G: 0.006614 Loss_D_real: -0.014407 Loss_D_fake 0.004956
[1311/5000][135/535][135242] Loss_D: -0.020289 Loss_G: -0.008793 Loss_D_real: -0.008555 Loss_D_fake 0.011734
[1311/5000][140/535][135243] Loss_D: -0.020473 Loss_G: 0.009441 Loss_D_real: -0.011662 Loss_D_fake 0.008811
[1311/5000][145/535][135244] Loss_D: -0.020679 Loss_G: 0.008880 Loss_D_real: -0.020223 Loss_D_fake 0.000456
[1311/5000][150/535][135245] Loss_D: -0.019856 Loss_G: -0.004500 Loss_D_real: -0.011426 Loss_D_fake 0.008429
[1311/5000][155/535][135246] Loss_D: -0.020180 Loss_G: 0.005029 Loss_D_real: 0.001955 Loss_D_fake 0.022135
[1311/5000][160/535][135247] Loss_D: -0.019553 Loss_G: 0.015915 Loss_D_real: -0.021988 Loss_D_fake -0.002435
[1311/5000][165/535][135248] Loss_D: -0.020423 Loss_G: 0.015450 Loss_D_real: -0.008873 Loss_D_fake 0.011550
[1311/5000][170/535][135249] Loss_D: -0.018942 Loss_G: 0.025205 Loss_D_real: -0.024860 Loss_D_fake -0.005917
[1311/5000][175/535][135250] Loss_D: -0.019925 Loss_G: 0.010998 Loss_D_real: -0.029004 Loss_D_fake -0.009079
[1311/5000][180/535][135251] Loss_D: -0.019812 Loss_G: 0.028737 Loss_D_real: -0.029420 Loss_D_fake -0.009608
[1311/5000][185/535][135252] Loss_D: -0.019273 Loss_G: -0.011029 Loss_D_real: -0.005360 Loss_D_fake 0.013913
[1311/5000][190/535][135253] Loss_D: -0.019327 Loss_G: 0.022134 Loss_D_real: -0.031898 Loss_D_fake -0.012572
[1311/5000][195/535][135254] Loss_D: -0.018845 Loss_G: 0.027173 Loss_D_real: -0.022561 Loss_D_fake -0.003716
[1311/5000][200/535][135255] Loss_D: -0.019819 Loss_G: 0.012726 Loss_D_real: -0.009158 Loss_D_fake 0.010661
[1311/5000][205/535][135256] Loss_D: -0.018944 Loss_G: 0.014474 Loss_D_real: -0.029754 Loss_D_fake -0.010810
[1311/5000][210/535][135257] Loss_D: -0.020900 Loss_G: -0.000160 Loss_D_real: -0.018678 Loss_D_fake 0.002221
[1311/5000][215/535][135258] Loss_D: -0.019799 Loss_G: 0.002233 Loss_D_real: -0.013437 Loss_D_fake 0.006362
[1311/5000][220/535][135259] Loss_D: -0.020898 Loss_G: 0.011812 Loss_D_real: -0.013124 Loss_D_fake 0.007774
[1311/5000][225/535][135260] Loss_D: -0.019644 Loss_G: 0.007667 Loss_D_real: -0.029465 Loss_D_fake -0.009822
[1311/5000][230/535][135261] Loss_D: -0.019044 Loss_G: -0.008440 Loss_D_real: -0.003501 Loss_D_fake 0.015543
[1311/5000][235/535][135262] Loss_D: -0.019794 Loss_G: -0.002471 Loss_D_real: -0.010245 Loss_D_fake 0.009549
[1311/5000][240/535][135263] Loss_D: -0.019869 Loss_G: 0.013345 Loss_D_real: -0.022420 Loss_D_fake -0.002552
[1311/5000][245/535][135264] Loss_D: -0.020575 Loss_G: 0.002190 Loss_D_real: -0.004505 Loss_D_fake 0.016070
[1311/5000][250/535][135265] Loss_D: -0.020911 Loss_G: 0.015187 Loss_D_real: -0.027822 Loss_D_fake -0.006911
[1311/5000][255/535][135266] Loss_D: -0.019495 Loss_G: 0.009351 Loss_D_real: -0.002528 Loss_D_fake 0.016967
[1311/5000][260/535][135267] Loss_D: -0.018995 Loss_G: -0.010782 Loss_D_real: -0.002068 Loss_D_fake 0.016927
[1311/5000][265/535][135268] Loss_D: -0.019808 Loss_G: 0.031518 Loss_D_real: -0.019256 Loss_D_fake 0.000552
[1311/5000][270/535][135269] Loss_D: -0.020617 Loss_G: -0.008432 Loss_D_real: -0.014898 Loss_D_fake 0.005718
[1311/5000][275/535][135270] Loss_D: -0.021354 Loss_G: 0.021108 Loss_D_real: -0.008132 Loss_D_fake 0.013222
[1311/5000][280/535][135271] Loss_D: -0.020401 Loss_G: 0.012995 Loss_D_real: -0.007731 Loss_D_fake 0.012670
[1311/5000][285/535][135272] Loss_D: -0.018986 Loss_G: 0.003569 Loss_D_real: -0.014576 Loss_D_fake 0.004411
[1311/5000][290/535][135273] Loss_D: -0.019264 Loss_G: 0.002149 Loss_D_real: -0.007899 Loss_D_fake 0.011365
[1311/5000][295/535][135274] Loss_D: -0.019867 Loss_G: -0.002370 Loss_D_real: -0.010436 Loss_D_fake 0.009431
[1311/5000][300/535][135275] Loss_D: -0.019591 Loss_G: 0.011017 Loss_D_real: -0.014084 Loss_D_fake 0.005507
[1311/5000][305/535][135276] Loss_D: -0.019496 Loss_G: 0.004828 Loss_D_real: -0.011998 Loss_D_fake 0.007497
[1311/5000][310/535][135277] Loss_D: -0.019145 Loss_G: 0.023850 Loss_D_real: -0.024473 Loss_D_fake -0.005328
[1311/5000][315/535][135278] Loss_D: -0.018248 Loss_G: -0.014204 Loss_D_real: 0.009957 Loss_D_fake 0.028205
[1311/5000][320/535][135279] Loss_D: -0.020159 Loss_G: 0.006598 Loss_D_real: -0.021052 Loss_D_fake -0.000893
[1311/5000][325/535][135280] Loss_D: -0.018991 Loss_G: 0.016026 Loss_D_real: -0.017194 Loss_D_fake 0.001797
[1311/5000][330/535][135281] Loss_D: -0.019362 Loss_G: 0.009458 Loss_D_real: -0.014682 Loss_D_fake 0.004681
[1311/5000][335/535][135282] Loss_D: -0.019629 Loss_G: 0.028524 Loss_D_real: -0.022424 Loss_D_fake -0.002794
[1311/5000][340/535][135283] Loss_D: -0.019484 Loss_G: 0.002990 Loss_D_real: 0.000242 Loss_D_fake 0.019726
[1311/5000][345/535][135284] Loss_D: -0.018964 Loss_G: 0.006771 Loss_D_real: -0.022967 Loss_D_fake -0.004004
[1311/5000][350/535][135285] Loss_D: -0.020158 Loss_G: -0.013286 Loss_D_real: -0.012411 Loss_D_fake 0.007747
[1311/5000][355/535][135286] Loss_D: -0.021621 Loss_G: 0.014591 Loss_D_real: -0.010085 Loss_D_fake 0.011536
[1311/5000][360/535][135287] Loss_D: -0.020713 Loss_G: 0.015681 Loss_D_real: -0.017201 Loss_D_fake 0.003513
[1311/5000][365/535][135288] Loss_D: -0.019996 Loss_G: 0.004226 Loss_D_real: -0.011580 Loss_D_fake 0.008417
[1311/5000][370/535][135289] Loss_D: -0.019010 Loss_G: 0.011296 Loss_D_real: -0.013025 Loss_D_fake 0.005985
[1311/5000][375/535][135290] Loss_D: -0.019002 Loss_G: 0.012677 Loss_D_real: -0.010428 Loss_D_fake 0.008575
[1311/5000][380/535][135291] Loss_D: -0.020517 Loss_G: 0.005296 Loss_D_real: -0.005107 Loss_D_fake 0.015410
[1311/5000][385/535][135292] Loss_D: -0.019652 Loss_G: 0.019771 Loss_D_real: -0.012640 Loss_D_fake 0.007013
[1311/5000][390/535][135293] Loss_D: -0.020733 Loss_G: 0.013595 Loss_D_real: -0.022454 Loss_D_fake -0.001721
[1311/5000][395/535][135294] Loss_D: -0.019713 Loss_G: 0.008656 Loss_D_real: -0.010355 Loss_D_fake 0.009358
[1311/5000][400/535][135295] Loss_D: -0.018979 Loss_G: -0.017497 Loss_D_real: 0.005057 Loss_D_fake 0.024036
[1311/5000][405/535][135296] Loss_D: -0.019761 Loss_G: 0.016505 Loss_D_real: -0.012181 Loss_D_fake 0.007580
[1311/5000][410/535][135297] Loss_D: -0.019227 Loss_G: 0.024224 Loss_D_real: -0.015715 Loss_D_fake 0.003512
[1311/5000][415/535][135298] Loss_D: -0.020089 Loss_G: 0.025750 Loss_D_real: -0.017125 Loss_D_fake 0.002964
[1311/5000][420/535][135299] Loss_D: -0.020880 Loss_G: 0.014047 Loss_D_real: -0.018256 Loss_D_fake 0.002624
[1311/5000][425/535][135300] Loss_D: -0.020367 Loss_G: 0.014343 Loss_D_real: -0.020142 Loss_D_fake 0.000225
[1311/5000][430/535][135301] Loss_D: -0.018972 Loss_G: 0.024145 Loss_D_real: -0.012818 Loss_D_fake 0.006155
[1311/5000][435/535][135302] Loss_D: -0.019100 Loss_G: -0.011507 Loss_D_real: 0.007390 Loss_D_fake 0.026489
[1311/5000][440/535][135303] Loss_D: -0.019416 Loss_G: 0.006392 Loss_D_real: -0.022052 Loss_D_fake -0.002637
[1311/5000][445/535][135304] Loss_D: -0.020212 Loss_G: 0.016937 Loss_D_real: -0.021352 Loss_D_fake -0.001140
[1311/5000][450/535][135305] Loss_D: -0.019532 Loss_G: -0.011392 Loss_D_real: 0.002773 Loss_D_fake 0.022305
[1311/5000][455/535][135306] Loss_D: -0.019510 Loss_G: -0.002507 Loss_D_real: -0.008684 Loss_D_fake 0.010826
[1311/5000][460/535][135307] Loss_D: -0.020249 Loss_G: 0.017035 Loss_D_real: -0.027484 Loss_D_fake -0.007235
[1311/5000][465/535][135308] Loss_D: -0.020139 Loss_G: 0.015104 Loss_D_real: -0.017529 Loss_D_fake 0.002611
[1311/5000][470/535][135309] Loss_D: -0.020953 Loss_G: 0.004484 Loss_D_real: -0.011154 Loss_D_fake 0.009799
[1311/5000][475/535][135310] Loss_D: -0.020666 Loss_G: 0.025374 Loss_D_real: -0.014739 Loss_D_fake 0.005927
[1311/5000][480/535][135311] Loss_D: -0.018357 Loss_G: 0.022046 Loss_D_real: -0.024579 Loss_D_fake -0.006221
[1311/5000][485/535][135312] Loss_D: -0.019928 Loss_G: -0.003869 Loss_D_real: -0.000907 Loss_D_fake 0.019021
[1311/5000][490/535][135313] Loss_D: -0.019864 Loss_G: 0.018346 Loss_D_real: -0.007046 Loss_D_fake 0.012819
[1311/5000][495/535][135314] Loss_D: -0.020850 Loss_G: 0.004631 Loss_D_real: -0.012051 Loss_D_fake 0.008799
[1311/5000][500/535][135315] Loss_D: -0.020320 Loss_G: 0.015169 Loss_D_real: -0.016091 Loss_D_fake 0.004229
[1311/5000][505/535][135316] Loss_D: -0.021756 Loss_G: -0.008849 Loss_D_real: -0.000306 Loss_D_fake 0.021449
[1311/5000][510/535][135317] Loss_D: -0.019218 Loss_G: 0.025228 Loss_D_real: -0.027065 Loss_D_fake -0.007847
[1311/5000][515/535][135318] Loss_D: -0.018862 Loss_G: 0.019219 Loss_D_real: -0.031251 Loss_D_fake -0.012389
[1311/5000][520/535][135319] Loss_D: -0.020370 Loss_G: 0.015302 Loss_D_real: -0.015075 Loss_D_fake 0.005294
[1311/5000][525/535][135320] Loss_D: -0.019472 Loss_G: 0.019024 Loss_D_real: -0.029355 Loss_D_fake -0.009884
[1311/5000][530/535][135321] Loss_D: -0.021736 Loss_G: -0.011004 Loss_D_real: -0.008727 Loss_D_fake 0.013009
[1311/5000][535/535][135322] Loss_D: -0.017343 Loss_G: 0.006591 Loss_D_real: -0.027487 Loss_D_fake -0.010144
[1312/5000][5/535][135323] Loss_D: -0.020944 Loss_G: -0.008181 Loss_D_real: -0.003623 Loss_D_fake 0.017321
[1312/5000][10/535][135324] Loss_D: -0.020118 Loss_G: 0.021506 Loss_D_real: -0.026063 Loss_D_fake -0.005945
[1312/5000][15/535][135325] Loss_D: -0.020315 Loss_G: 0.010910 Loss_D_real: -0.004157 Loss_D_fake 0.016158
[1312/5000][20/535][135326] Loss_D: -0.019385 Loss_G: 0.001666 Loss_D_real: -0.021800 Loss_D_fake -0.002414
[1312/5000][25/535][135327] Loss_D: -0.018129 Loss_G: -0.003516 Loss_D_real: 0.000319 Loss_D_fake 0.018448
[1312/5000][30/535][135328] Loss_D: -0.018833 Loss_G: 0.013715 Loss_D_real: -0.015527 Loss_D_fake 0.003306
[1312/5000][35/535][135329] Loss_D: -0.021880 Loss_G: 0.013477 Loss_D_real: -0.013905 Loss_D_fake 0.007975
[1312/5000][40/535][135330] Loss_D: -0.020406 Loss_G: 0.007854 Loss_D_real: -0.020599 Loss_D_fake -0.000193
[1312/5000][45/535][135331] Loss_D: -0.020482 Loss_G: 0.028274 Loss_D_real: -0.014888 Loss_D_fake 0.005594
[1312/5000][50/535][135332] Loss_D: -0.020839 Loss_G: 0.002323 Loss_D_real: -0.017891 Loss_D_fake 0.002948
[1312/5000][55/535][135333] Loss_D: -0.021583 Loss_G: 0.010512 Loss_D_real: -0.014670 Loss_D_fake 0.006914
[1312/5000][60/535][135334] Loss_D: -0.020361 Loss_G: 0.024171 Loss_D_real: -0.022635 Loss_D_fake -0.002274
[1312/5000][65/535][135335] Loss_D: -0.020630 Loss_G: 0.009128 Loss_D_real: -0.011289 Loss_D_fake 0.009341
[1312/5000][70/535][135336] Loss_D: -0.019744 Loss_G: 0.010908 Loss_D_real: 0.007748 Loss_D_fake 0.027491
[1312/5000][75/535][135337] Loss_D: -0.019546 Loss_G: 0.013645 Loss_D_real: -0.024444 Loss_D_fake -0.004898
[1312/5000][80/535][135338] Loss_D: -0.020870 Loss_G: -0.000884 Loss_D_real: -0.006144 Loss_D_fake 0.014726
[1312/5000][85/535][135339] Loss_D: -0.019956 Loss_G: 0.001993 Loss_D_real: -0.006110 Loss_D_fake 0.013846
[1312/5000][90/535][135340] Loss_D: -0.020228 Loss_G: 0.006276 Loss_D_real: -0.014772 Loss_D_fake 0.005456
[1312/5000][95/535][135341] Loss_D: -0.020277 Loss_G: -0.005935 Loss_D_real: -0.018761 Loss_D_fake 0.001515
[1312/5000][100/535][135342] Loss_D: -0.020731 Loss_G: 0.014328 Loss_D_real: -0.011223 Loss_D_fake 0.009508
[1312/5000][105/535][135343] Loss_D: -0.019570 Loss_G: 0.005220 Loss_D_real: -0.006557 Loss_D_fake 0.013013
[1312/5000][110/535][135344] Loss_D: -0.018079 Loss_G: -0.013404 Loss_D_real: 0.004501 Loss_D_fake 0.022581
[1312/5000][115/535][135345] Loss_D: -0.019997 Loss_G: 0.008845 Loss_D_real: -0.009605 Loss_D_fake 0.010392
[1312/5000][120/535][135346] Loss_D: -0.018631 Loss_G: 0.017826 Loss_D_real: -0.024683 Loss_D_fake -0.006052
[1312/5000][125/535][135347] Loss_D: -0.020150 Loss_G: 0.004730 Loss_D_real: -0.011715 Loss_D_fake 0.008435
[1312/5000][130/535][135348] Loss_D: -0.019540 Loss_G: 0.008495 Loss_D_real: -0.014307 Loss_D_fake 0.005233
[1312/5000][135/535][135349] Loss_D: -0.018588 Loss_G: 0.024723 Loss_D_real: -0.027584 Loss_D_fake -0.008997
[1312/5000][140/535][135350] Loss_D: -0.020616 Loss_G: 0.005105 Loss_D_real: -0.016322 Loss_D_fake 0.004294
[1312/5000][145/535][135351] Loss_D: -0.019997 Loss_G: -0.000718 Loss_D_real: -0.012132 Loss_D_fake 0.007865
[1312/5000][150/535][135352] Loss_D: -0.019913 Loss_G: 0.007662 Loss_D_real: -0.019966 Loss_D_fake -0.000053
[1312/5000][155/535][135353] Loss_D: -0.020428 Loss_G: 0.005342 Loss_D_real: -0.000642 Loss_D_fake 0.019786
[1312/5000][160/535][135354] Loss_D: -0.019690 Loss_G: 0.021338 Loss_D_real: -0.023815 Loss_D_fake -0.004125
[1312/5000][165/535][135355] Loss_D: -0.018593 Loss_G: 0.033173 Loss_D_real: -0.020557 Loss_D_fake -0.001964
[1312/5000][170/535][135356] Loss_D: -0.019449 Loss_G: -0.015301 Loss_D_real: 0.003057 Loss_D_fake 0.022506
[1312/5000][175/535][135357] Loss_D: -0.019837 Loss_G: 0.021986 Loss_D_real: -0.019391 Loss_D_fake 0.000446
[1312/5000][180/535][135358] Loss_D: -0.019359 Loss_G: 0.007470 Loss_D_real: -0.016800 Loss_D_fake 0.002560
[1312/5000][185/535][135359] Loss_D: -0.020599 Loss_G: 0.012821 Loss_D_real: -0.003440 Loss_D_fake 0.017159
[1312/5000][190/535][135360] Loss_D: -0.020133 Loss_G: 0.012041 Loss_D_real: -0.007590 Loss_D_fake 0.012543
[1312/5000][195/535][135361] Loss_D: -0.020516 Loss_G: -0.004897 Loss_D_real: -0.009244 Loss_D_fake 0.011272
[1312/5000][200/535][135362] Loss_D: -0.020889 Loss_G: 0.010033 Loss_D_real: -0.018212 Loss_D_fake 0.002678
[1312/5000][205/535][135363] Loss_D: -0.020845 Loss_G: 0.025674 Loss_D_real: -0.021562 Loss_D_fake -0.000717
[1312/5000][210/535][135364] Loss_D: -0.019845 Loss_G: 0.010037 Loss_D_real: -0.003652 Loss_D_fake 0.016193
[1312/5000][215/535][135365] Loss_D: -0.020891 Loss_G: 0.020418 Loss_D_real: -0.020316 Loss_D_fake 0.000575
[1312/5000][220/535][135366] Loss_D: -0.019298 Loss_G: 0.009985 Loss_D_real: -0.025625 Loss_D_fake -0.006328
[1312/5000][225/535][135367] Loss_D: -0.018862 Loss_G: -0.004546 Loss_D_real: -0.023774 Loss_D_fake -0.004911
[1312/5000][230/535][135368] Loss_D: -0.019585 Loss_G: 0.018319 Loss_D_real: -0.031119 Loss_D_fake -0.011534
[1312/5000][235/535][135369] Loss_D: -0.021136 Loss_G: -0.005580 Loss_D_real: -0.002221 Loss_D_fake 0.018915
[1312/5000][240/535][135370] Loss_D: -0.021753 Loss_G: 0.011681 Loss_D_real: -0.004534 Loss_D_fake 0.017219
[1312/5000][245/535][135371] Loss_D: -0.021059 Loss_G: 0.023788 Loss_D_real: -0.021622 Loss_D_fake -0.000563
[1312/5000][250/535][135372] Loss_D: -0.017739 Loss_G: 0.014004 Loss_D_real: -0.031597 Loss_D_fake -0.013858
[1312/5000][255/535][135373] Loss_D: -0.021057 Loss_G: 0.011509 Loss_D_real: -0.013358 Loss_D_fake 0.007699
[1312/5000][260/535][135374] Loss_D: -0.021407 Loss_G: 0.014931 Loss_D_real: -0.014843 Loss_D_fake 0.006564
[1312/5000][265/535][135375] Loss_D: -0.020377 Loss_G: 0.014660 Loss_D_real: -0.019307 Loss_D_fake 0.001071
[1312/5000][270/535][135376] Loss_D: -0.019732 Loss_G: 0.006480 Loss_D_real: -0.008990 Loss_D_fake 0.010742
[1312/5000][275/535][135377] Loss_D: -0.021092 Loss_G: -0.008452 Loss_D_real: -0.014832 Loss_D_fake 0.006260
[1312/5000][280/535][135378] Loss_D: -0.020688 Loss_G: 0.007838 Loss_D_real: -0.011475 Loss_D_fake 0.009214
[1312/5000][285/535][135379] Loss_D: -0.020040 Loss_G: 0.006000 Loss_D_real: -0.023869 Loss_D_fake -0.003829
[1312/5000][290/535][135380] Loss_D: -0.018792 Loss_G: -0.024472 Loss_D_real: 0.004008 Loss_D_fake 0.022800
[1312/5000][295/535][135381] Loss_D: -0.019746 Loss_G: 0.010444 Loss_D_real: -0.015116 Loss_D_fake 0.004630
[1312/5000][300/535][135382] Loss_D: -0.019495 Loss_G: 0.004853 Loss_D_real: -0.005430 Loss_D_fake 0.014065
[1312/5000][305/535][135383] Loss_D: -0.019795 Loss_G: 0.003993 Loss_D_real: -0.026580 Loss_D_fake -0.006784
[1312/5000][310/535][135384] Loss_D: -0.021019 Loss_G: 0.004983 Loss_D_real: -0.008033 Loss_D_fake 0.012986
[1312/5000][315/535][135385] Loss_D: -0.019198 Loss_G: -0.000755 Loss_D_real: -0.009965 Loss_D_fake 0.009233
[1312/5000][320/535][135386] Loss_D: -0.021088 Loss_G: 0.018820 Loss_D_real: -0.009850 Loss_D_fake 0.011238
[1312/5000][325/535][135387] Loss_D: -0.019805 Loss_G: 0.009850 Loss_D_real: -0.014166 Loss_D_fake 0.005639
[1312/5000][330/535][135388] Loss_D: -0.020335 Loss_G: 0.001912 Loss_D_real: 0.000970 Loss_D_fake 0.021305
[1312/5000][335/535][135389] Loss_D: -0.019212 Loss_G: 0.016324 Loss_D_real: -0.015241 Loss_D_fake 0.003971
[1312/5000][340/535][135390] Loss_D: -0.019832 Loss_G: -0.000598 Loss_D_real: -0.004609 Loss_D_fake 0.015223
[1312/5000][345/535][135391] Loss_D: -0.020360 Loss_G: 0.012417 Loss_D_real: -0.014426 Loss_D_fake 0.005933
[1312/5000][350/535][135392] Loss_D: -0.020258 Loss_G: -0.009630 Loss_D_real: -0.003406 Loss_D_fake 0.016853
[1312/5000][355/535][135393] Loss_D: -0.020292 Loss_G: -0.007588 Loss_D_real: -0.008679 Loss_D_fake 0.011613
[1312/5000][360/535][135394] Loss_D: -0.019731 Loss_G: 0.025412 Loss_D_real: -0.017465 Loss_D_fake 0.002267
[1312/5000][365/535][135395] Loss_D: -0.019377 Loss_G: 0.004530 Loss_D_real: -0.006892 Loss_D_fake 0.012485
[1312/5000][370/535][135396] Loss_D: -0.020461 Loss_G: 0.014829 Loss_D_real: -0.017362 Loss_D_fake 0.003100
[1312/5000][375/535][135397] Loss_D: -0.019469 Loss_G: 0.014963 Loss_D_real: -0.016305 Loss_D_fake 0.003165
[1312/5000][380/535][135398] Loss_D: -0.019243 Loss_G: 0.027012 Loss_D_real: -0.024417 Loss_D_fake -0.005174
[1312/5000][385/535][135399] Loss_D: -0.018745 Loss_G: 0.001467 Loss_D_real: -0.016908 Loss_D_fake 0.001837
[1312/5000][390/535][135400] Loss_D: -0.019209 Loss_G: 0.020029 Loss_D_real: -0.009889 Loss_D_fake 0.009320
[1312/5000][395/535][135401] Loss_D: -0.020133 Loss_G: -0.005875 Loss_D_real: -0.008242 Loss_D_fake 0.011891
[1312/5000][400/535][135402] Loss_D: -0.019807 Loss_G: 0.016120 Loss_D_real: -0.016201 Loss_D_fake 0.003606
[1312/5000][405/535][135403] Loss_D: -0.019244 Loss_G: 0.007144 Loss_D_real: -0.004115 Loss_D_fake 0.015129
[1312/5000][410/535][135404] Loss_D: -0.019330 Loss_G: 0.000231 Loss_D_real: -0.004853 Loss_D_fake 0.014477
[1312/5000][415/535][135405] Loss_D: -0.019908 Loss_G: -0.004654 Loss_D_real: -0.003258 Loss_D_fake 0.016649
[1312/5000][420/535][135406] Loss_D: -0.019608 Loss_G: 0.002411 Loss_D_real: -0.004476 Loss_D_fake 0.015131
[1312/5000][425/535][135407] Loss_D: -0.021078 Loss_G: 0.004826 Loss_D_real: -0.000068 Loss_D_fake 0.021010
[1312/5000][430/535][135408] Loss_D: -0.018452 Loss_G: 0.006272 Loss_D_real: -0.008620 Loss_D_fake 0.009832
[1312/5000][435/535][135409] Loss_D: -0.019498 Loss_G: 0.023230 Loss_D_real: -0.017091 Loss_D_fake 0.002407
[1312/5000][440/535][135410] Loss_D: -0.019978 Loss_G: 0.014125 Loss_D_real: -0.015943 Loss_D_fake 0.004035
[1312/5000][445/535][135411] Loss_D: -0.019958 Loss_G: 0.016698 Loss_D_real: -0.019870 Loss_D_fake 0.000088
[1312/5000][450/535][135412] Loss_D: -0.020866 Loss_G: 0.005965 Loss_D_real: -0.017146 Loss_D_fake 0.003720
[1312/5000][455/535][135413] Loss_D: -0.019704 Loss_G: 0.009029 Loss_D_real: -0.028661 Loss_D_fake -0.008957
[1312/5000][460/535][135414] Loss_D: -0.021112 Loss_G: -0.002021 Loss_D_real: -0.012157 Loss_D_fake 0.008955
[1312/5000][465/535][135415] Loss_D: -0.020325 Loss_G: 0.015054 Loss_D_real: -0.026022 Loss_D_fake -0.005697
[1312/5000][470/535][135416] Loss_D: -0.019742 Loss_G: 0.003377 Loss_D_real: -0.000723 Loss_D_fake 0.019019
[1312/5000][475/535][135417] Loss_D: -0.020025 Loss_G: 0.018738 Loss_D_real: -0.010886 Loss_D_fake 0.009139
[1312/5000][480/535][135418] Loss_D: -0.019404 Loss_G: 0.000767 Loss_D_real: -0.013566 Loss_D_fake 0.005838
[1312/5000][485/535][135419] Loss_D: -0.019304 Loss_G: 0.002150 Loss_D_real: -0.004483 Loss_D_fake 0.014820
[1312/5000][490/535][135420] Loss_D: -0.019904 Loss_G: 0.023524 Loss_D_real: -0.017216 Loss_D_fake 0.002687
[1312/5000][495/535][135421] Loss_D: -0.017814 Loss_G: 0.019190 Loss_D_real: -0.018087 Loss_D_fake -0.000273
[1312/5000][500/535][135422] Loss_D: -0.019483 Loss_G: 0.011700 Loss_D_real: -0.026848 Loss_D_fake -0.007365
[1312/5000][505/535][135423] Loss_D: -0.019986 Loss_G: 0.021091 Loss_D_real: -0.034589 Loss_D_fake -0.014602
[1312/5000][510/535][135424] Loss_D: -0.018740 Loss_G: 0.016658 Loss_D_real: -0.015620 Loss_D_fake 0.003121
[1312/5000][515/535][135425] Loss_D: -0.021195 Loss_G: 0.000662 Loss_D_real: -0.011821 Loss_D_fake 0.009374
[1312/5000][520/535][135426] Loss_D: -0.019362 Loss_G: -0.002756 Loss_D_real: -0.016006 Loss_D_fake 0.003356
[1312/5000][525/535][135427] Loss_D: -0.020685 Loss_G: 0.007357 Loss_D_real: -0.021412 Loss_D_fake -0.000727
[1312/5000][530/535][135428] Loss_D: -0.020809 Loss_G: -0.006214 Loss_D_real: -0.011815 Loss_D_fake 0.008994
[1312/5000][535/535][135429] Loss_D: -0.021408 Loss_G: 0.004742 Loss_D_real: -0.024286 Loss_D_fake -0.002878
[1313/5000][5/535][135430] Loss_D: -0.019868 Loss_G: -0.003500 Loss_D_real: 0.007601 Loss_D_fake 0.027469
[1313/5000][10/535][135431] Loss_D: -0.019662 Loss_G: 0.004752 Loss_D_real: 0.007239 Loss_D_fake 0.026901
[1313/5000][15/535][135432] Loss_D: -0.021442 Loss_G: 0.017320 Loss_D_real: -0.019867 Loss_D_fake 0.001575
[1313/5000][20/535][135433] Loss_D: -0.019582 Loss_G: 0.011336 Loss_D_real: -0.009303 Loss_D_fake 0.010280
[1313/5000][25/535][135434] Loss_D: -0.020572 Loss_G: 0.004767 Loss_D_real: -0.017662 Loss_D_fake 0.002910
[1313/5000][30/535][135435] Loss_D: -0.019480 Loss_G: 0.002350 Loss_D_real: -0.024179 Loss_D_fake -0.004699
[1313/5000][35/535][135436] Loss_D: -0.019547 Loss_G: 0.011869 Loss_D_real: -0.020536 Loss_D_fake -0.000989
[1313/5000][40/535][135437] Loss_D: -0.018271 Loss_G: 0.021870 Loss_D_real: -0.020307 Loss_D_fake -0.002035
[1313/5000][45/535][135438] Loss_D: -0.017503 Loss_G: 0.027505 Loss_D_real: -0.030058 Loss_D_fake -0.012555
[1313/5000][50/535][135439] Loss_D: -0.018437 Loss_G: 0.018010 Loss_D_real: -0.013081 Loss_D_fake 0.005357
[1313/5000][55/535][135440] Loss_D: -0.019259 Loss_G: 0.012644 Loss_D_real: -0.014895 Loss_D_fake 0.004363
[1313/5000][60/535][135441] Loss_D: -0.019433 Loss_G: 0.003150 Loss_D_real: -0.024443 Loss_D_fake -0.005010
[1313/5000][65/535][135442] Loss_D: -0.020344 Loss_G: 0.005483 Loss_D_real: -0.012663 Loss_D_fake 0.007681
[1313/5000][70/535][135443] Loss_D: -0.020523 Loss_G: 0.013580 Loss_D_real: -0.010832 Loss_D_fake 0.009691
[1313/5000][75/535][135444] Loss_D: -0.019383 Loss_G: 0.016301 Loss_D_real: -0.029472 Loss_D_fake -0.010088
[1313/5000][80/535][135445] Loss_D: -0.020878 Loss_G: 0.019274 Loss_D_real: -0.018962 Loss_D_fake 0.001916
[1313/5000][85/535][135446] Loss_D: -0.020926 Loss_G: 0.000737 Loss_D_real: -0.024548 Loss_D_fake -0.003622
[1313/5000][90/535][135447] Loss_D: -0.019022 Loss_G: 0.023345 Loss_D_real: -0.027359 Loss_D_fake -0.008338
[1313/5000][95/535][135448] Loss_D: -0.020185 Loss_G: 0.013151 Loss_D_real: -0.026186 Loss_D_fake -0.006001
[1313/5000][100/535][135449] Loss_D: -0.019866 Loss_G: 0.026985 Loss_D_real: -0.027360 Loss_D_fake -0.007493
[1313/5000][105/535][135450] Loss_D: -0.019529 Loss_G: 0.031169 Loss_D_real: -0.023632 Loss_D_fake -0.004102
[1313/5000][110/535][135451] Loss_D: -0.019885 Loss_G: 0.009886 Loss_D_real: -0.012796 Loss_D_fake 0.007089
[1313/5000][115/535][135452] Loss_D: -0.020368 Loss_G: 0.021577 Loss_D_real: -0.024417 Loss_D_fake -0.004048
[1313/5000][120/535][135453] Loss_D: -0.018970 Loss_G: 0.008282 Loss_D_real: -0.017185 Loss_D_fake 0.001785
[1313/5000][125/535][135454] Loss_D: -0.019714 Loss_G: 0.011776 Loss_D_real: -0.019559 Loss_D_fake 0.000155
[1313/5000][130/535][135455] Loss_D: -0.020301 Loss_G: 0.005486 Loss_D_real: -0.021280 Loss_D_fake -0.000979
[1313/5000][135/535][135456] Loss_D: -0.020414 Loss_G: -0.002400 Loss_D_real: -0.012767 Loss_D_fake 0.007647
[1313/5000][140/535][135457] Loss_D: -0.020198 Loss_G: -0.013176 Loss_D_real: -0.009953 Loss_D_fake 0.010245
[1313/5000][145/535][135458] Loss_D: -0.020638 Loss_G: 0.029884 Loss_D_real: -0.011091 Loss_D_fake 0.009547
[1313/5000][150/535][135459] Loss_D: -0.020087 Loss_G: -0.000130 Loss_D_real: -0.011769 Loss_D_fake 0.008318
[1313/5000][155/535][135460] Loss_D: -0.018491 Loss_G: 0.026092 Loss_D_real: -0.026972 Loss_D_fake -0.008480
[1313/5000][160/535][135461] Loss_D: -0.019301 Loss_G: -0.001482 Loss_D_real: -0.013170 Loss_D_fake 0.006132
[1313/5000][165/535][135462] Loss_D: -0.019036 Loss_G: 0.024848 Loss_D_real: -0.029134 Loss_D_fake -0.010098
[1313/5000][170/535][135463] Loss_D: -0.019460 Loss_G: 0.002363 Loss_D_real: 0.003434 Loss_D_fake 0.022894
[1313/5000][175/535][135464] Loss_D: -0.020255 Loss_G: 0.002173 Loss_D_real: -0.022086 Loss_D_fake -0.001831
[1313/5000][180/535][135465] Loss_D: -0.019753 Loss_G: 0.018256 Loss_D_real: -0.025360 Loss_D_fake -0.005607
[1313/5000][185/535][135466] Loss_D: -0.020781 Loss_G: -0.009002 Loss_D_real: -0.011700 Loss_D_fake 0.009081
[1313/5000][190/535][135467] Loss_D: -0.018982 Loss_G: 0.012234 Loss_D_real: -0.013436 Loss_D_fake 0.005546
[1313/5000][195/535][135468] Loss_D: -0.019178 Loss_G: 0.013690 Loss_D_real: -0.019327 Loss_D_fake -0.000149
[1313/5000][200/535][135469] Loss_D: -0.020629 Loss_G: 0.012832 Loss_D_real: -0.015074 Loss_D_fake 0.005555
[1313/5000][205/535][135470] Loss_D: -0.020888 Loss_G: 0.011833 Loss_D_real: -0.006790 Loss_D_fake 0.014098
[1313/5000][210/535][135471] Loss_D: -0.019880 Loss_G: 0.000039 Loss_D_real: -0.004328 Loss_D_fake 0.015552
[1313/5000][215/535][135472] Loss_D: -0.020803 Loss_G: 0.019973 Loss_D_real: -0.023783 Loss_D_fake -0.002980
[1313/5000][220/535][135473] Loss_D: -0.020306 Loss_G: 0.017896 Loss_D_real: -0.011243 Loss_D_fake 0.009063
[1313/5000][225/535][135474] Loss_D: -0.019637 Loss_G: 0.007780 Loss_D_real: -0.014852 Loss_D_fake 0.004786
[1313/5000][230/535][135475] Loss_D: -0.019146 Loss_G: 0.004758 Loss_D_real: -0.016095 Loss_D_fake 0.003051
[1313/5000][235/535][135476] Loss_D: -0.019883 Loss_G: 0.016102 Loss_D_real: -0.024560 Loss_D_fake -0.004677
[1313/5000][240/535][135477] Loss_D: -0.019617 Loss_G: 0.025050 Loss_D_real: -0.017618 Loss_D_fake 0.001999
[1313/5000][245/535][135478] Loss_D: -0.019031 Loss_G: 0.019752 Loss_D_real: -0.019982 Loss_D_fake -0.000950
[1313/5000][250/535][135479] Loss_D: -0.019667 Loss_G: 0.013222 Loss_D_real: -0.018199 Loss_D_fake 0.001468
[1313/5000][255/535][135480] Loss_D: -0.019988 Loss_G: -0.002131 Loss_D_real: -0.019776 Loss_D_fake 0.000212
[1313/5000][260/535][135481] Loss_D: -0.019459 Loss_G: -0.005402 Loss_D_real: -0.002060 Loss_D_fake 0.017399
[1313/5000][265/535][135482] Loss_D: -0.020653 Loss_G: 0.014773 Loss_D_real: -0.028506 Loss_D_fake -0.007854
[1313/5000][270/535][135483] Loss_D: -0.018704 Loss_G: 0.002517 Loss_D_real: 0.001990 Loss_D_fake 0.020694
[1313/5000][275/535][135484] Loss_D: -0.019766 Loss_G: 0.001062 Loss_D_real: -0.004574 Loss_D_fake 0.015192
[1313/5000][280/535][135485] Loss_D: -0.019064 Loss_G: -0.001506 Loss_D_real: 0.000657 Loss_D_fake 0.019721
[1313/5000][285/535][135486] Loss_D: -0.019982 Loss_G: -0.000180 Loss_D_real: -0.011861 Loss_D_fake 0.008121
[1313/5000][290/535][135487] Loss_D: -0.019975 Loss_G: -0.002947 Loss_D_real: -0.002162 Loss_D_fake 0.017813
[1313/5000][295/535][135488] Loss_D: -0.019845 Loss_G: 0.013671 Loss_D_real: -0.026319 Loss_D_fake -0.006475
[1313/5000][300/535][135489] Loss_D: -0.020209 Loss_G: -0.004343 Loss_D_real: 0.004441 Loss_D_fake 0.024650
[1313/5000][305/535][135490] Loss_D: -0.020530 Loss_G: -0.001302 Loss_D_real: -0.002920 Loss_D_fake 0.017609
[1313/5000][310/535][135491] Loss_D: -0.018657 Loss_G: 0.032304 Loss_D_real: -0.037709 Loss_D_fake -0.019052
[1313/5000][315/535][135492] Loss_D: -0.021083 Loss_G: 0.009138 Loss_D_real: -0.007912 Loss_D_fake 0.013171
[1313/5000][320/535][135493] Loss_D: -0.019124 Loss_G: 0.000610 Loss_D_real: -0.008666 Loss_D_fake 0.010458
[1313/5000][325/535][135494] Loss_D: -0.019945 Loss_G: 0.000867 Loss_D_real: -0.011360 Loss_D_fake 0.008585
[1313/5000][330/535][135495] Loss_D: -0.019352 Loss_G: -0.001655 Loss_D_real: -0.016248 Loss_D_fake 0.003104
[1313/5000][335/535][135496] Loss_D: -0.020279 Loss_G: 0.008715 Loss_D_real: -0.016210 Loss_D_fake 0.004070
[1313/5000][340/535][135497] Loss_D: -0.020074 Loss_G: -0.017311 Loss_D_real: -0.004309 Loss_D_fake 0.015766
[1313/5000][345/535][135498] Loss_D: -0.019980 Loss_G: 0.008023 Loss_D_real: -0.017036 Loss_D_fake 0.002944
[1313/5000][350/535][135499] Loss_D: -0.019669 Loss_G: 0.020386 Loss_D_real: -0.023585 Loss_D_fake -0.003917
[1313/5000][355/535][135500] Loss_D: -0.019987 Loss_G: 0.004509 Loss_D_real: -0.013022 Loss_D_fake 0.006964
[1313/5000][455/535][135501] Loss_D: -0.021265 Loss_G: 0.020767 Loss_D_real: -0.031737 Loss_D_fake -0.010472
[1313/5000][460/535][135502] Loss_D: -0.020677 Loss_G: 0.015012 Loss_D_real: -0.012300 Loss_D_fake 0.008377
[1313/5000][465/535][135503] Loss_D: -0.018489 Loss_G: 0.020989 Loss_D_real: -0.016033 Loss_D_fake 0.002456
[1313/5000][470/535][135504] Loss_D: -0.018097 Loss_G: 0.001389 Loss_D_real: -0.006539 Loss_D_fake 0.011558
[1313/5000][475/535][135505] Loss_D: -0.019564 Loss_G: 0.002532 Loss_D_real: -0.016542 Loss_D_fake 0.003022
[1313/5000][480/535][135506] Loss_D: -0.020651 Loss_G: -0.001765 Loss_D_real: -0.003885 Loss_D_fake 0.016766
[1313/5000][485/535][135507] Loss_D: -0.019049 Loss_G: 0.033191 Loss_D_real: -0.020084 Loss_D_fake -0.001036
[1313/5000][490/535][135508] Loss_D: -0.019581 Loss_G: 0.006520 Loss_D_real: -0.025529 Loss_D_fake -0.005947
[1313/5000][495/535][135509] Loss_D: -0.018735 Loss_G: 0.024244 Loss_D_real: -0.027140 Loss_D_fake -0.008406
[1313/5000][500/535][135510] Loss_D: -0.019525 Loss_G: 0.011980 Loss_D_real: -0.018283 Loss_D_fake 0.001242
[1313/5000][505/535][135511] Loss_D: -0.019526 Loss_G: -0.012843 Loss_D_real: -0.003359 Loss_D_fake 0.016167
[1313/5000][510/535][135512] Loss_D: -0.021069 Loss_G: -0.003158 Loss_D_real: -0.010100 Loss_D_fake 0.010968
[1313/5000][515/535][135513] Loss_D: -0.018516 Loss_G: 0.010260 Loss_D_real: -0.006143 Loss_D_fake 0.012374
[1313/5000][520/535][135514] Loss_D: -0.019937 Loss_G: 0.003473 Loss_D_real: -0.010744 Loss_D_fake 0.009193
[1313/5000][525/535][135515] Loss_D: -0.019329 Loss_G: -0.005002 Loss_D_real: 0.004522 Loss_D_fake 0.023851
[1313/5000][530/535][135516] Loss_D: -0.019961 Loss_G: 0.006191 Loss_D_real: -0.017338 Loss_D_fake 0.002623
[1313/5000][535/535][135517] Loss_D: -0.018976 Loss_G: 0.029310 Loss_D_real: -0.005982 Loss_D_fake 0.012994
[1314/5000][5/535][135518] Loss_D: -0.020174 Loss_G: 0.004794 Loss_D_real: -0.001922 Loss_D_fake 0.018252
[1314/5000][10/535][135519] Loss_D: -0.019902 Loss_G: -0.008111 Loss_D_real: -0.004451 Loss_D_fake 0.015451
[1314/5000][15/535][135520] Loss_D: -0.019219 Loss_G: 0.022448 Loss_D_real: -0.022813 Loss_D_fake -0.003593
[1314/5000][20/535][135521] Loss_D: -0.020745 Loss_G: -0.003825 Loss_D_real: 0.001344 Loss_D_fake 0.022089
[1314/5000][25/535][135522] Loss_D: -0.019894 Loss_G: 0.012953 Loss_D_real: -0.020820 Loss_D_fake -0.000926
[1314/5000][30/535][135523] Loss_D: -0.019276 Loss_G: 0.020943 Loss_D_real: -0.022539 Loss_D_fake -0.003263
[1314/5000][35/535][135524] Loss_D: -0.019347 Loss_G: -0.009760 Loss_D_real: -0.001512 Loss_D_fake 0.017834
[1314/5000][40/535][135525] Loss_D: -0.020014 Loss_G: 0.005376 Loss_D_real: -0.011354 Loss_D_fake 0.008659
[1314/5000][45/535][135526] Loss_D: -0.020052 Loss_G: 0.005365 Loss_D_real: -0.017834 Loss_D_fake 0.002218
[1314/5000][50/535][135527] Loss_D: -0.018781 Loss_G: 0.003311 Loss_D_real: 0.000099 Loss_D_fake 0.018880
[1314/5000][55/535][135528] Loss_D: -0.019053 Loss_G: 0.011917 Loss_D_real: -0.013953 Loss_D_fake 0.005100
[1314/5000][60/535][135529] Loss_D: -0.020734 Loss_G: 0.020096 Loss_D_real: -0.018130 Loss_D_fake 0.002604
[1314/5000][65/535][135530] Loss_D: -0.019691 Loss_G: 0.011941 Loss_D_real: -0.016621 Loss_D_fake 0.003070
[1314/5000][70/535][135531] Loss_D: -0.020219 Loss_G: 0.007703 Loss_D_real: -0.024872 Loss_D_fake -0.004653
[1314/5000][75/535][135532] Loss_D: -0.021377 Loss_G: 0.005480 Loss_D_real: -0.009876 Loss_D_fake 0.011501
[1314/5000][80/535][135533] Loss_D: -0.019607 Loss_G: 0.020825 Loss_D_real: -0.019758 Loss_D_fake -0.000151
[1314/5000][85/535][135534] Loss_D: -0.019990 Loss_G: -0.002170 Loss_D_real: -0.000285 Loss_D_fake 0.019705
[1314/5000][90/535][135535] Loss_D: -0.018761 Loss_G: 0.008428 Loss_D_real: -0.020798 Loss_D_fake -0.002037
[1314/5000][95/535][135536] Loss_D: -0.019721 Loss_G: -0.000035 Loss_D_real: -0.009855 Loss_D_fake 0.009866
[1314/5000][100/535][135537] Loss_D: -0.020364 Loss_G: 0.007254 Loss_D_real: -0.005207 Loss_D_fake 0.015157
[1314/5000][105/535][135538] Loss_D: -0.019957 Loss_G: 0.004939 Loss_D_real: -0.018102 Loss_D_fake 0.001855
[1314/5000][110/535][135539] Loss_D: -0.019270 Loss_G: 0.003448 Loss_D_real: -0.017574 Loss_D_fake 0.001696
[1314/5000][115/535][135540] Loss_D: -0.019275 Loss_G: 0.025149 Loss_D_real: -0.027234 Loss_D_fake -0.007959
[1314/5000][120/535][135541] Loss_D: -0.020207 Loss_G: 0.011096 Loss_D_real: -0.015097 Loss_D_fake 0.005110
[1314/5000][125/535][135542] Loss_D: -0.020566 Loss_G: 0.018840 Loss_D_real: -0.026465 Loss_D_fake -0.005898
[1314/5000][130/535][135543] Loss_D: -0.020655 Loss_G: -0.001127 Loss_D_real: -0.010097 Loss_D_fake 0.010558
[1314/5000][135/535][135544] Loss_D: -0.020131 Loss_G: 0.002479 Loss_D_real: -0.016010 Loss_D_fake 0.004121
[1314/5000][140/535][135545] Loss_D: -0.021376 Loss_G: 0.004709 Loss_D_real: -0.016547 Loss_D_fake 0.004829
[1314/5000][145/535][135546] Loss_D: -0.019713 Loss_G: -0.001458 Loss_D_real: 0.003472 Loss_D_fake 0.023185
[1314/5000][150/535][135547] Loss_D: -0.020306 Loss_G: 0.004177 Loss_D_real: -0.008040 Loss_D_fake 0.012267
[1314/5000][155/535][135548] Loss_D: -0.019256 Loss_G: 0.008153 Loss_D_real: -0.006872 Loss_D_fake 0.012384
[1314/5000][160/535][135549] Loss_D: -0.019893 Loss_G: 0.023658 Loss_D_real: -0.001451 Loss_D_fake 0.018442
[1314/5000][165/535][135550] Loss_D: -0.019534 Loss_G: -0.008473 Loss_D_real: -0.001949 Loss_D_fake 0.017585
[1314/5000][170/535][135551] Loss_D: -0.020441 Loss_G: 0.014014 Loss_D_real: -0.014648 Loss_D_fake 0.005793
[1314/5000][175/535][135552] Loss_D: -0.019632 Loss_G: -0.006316 Loss_D_real: -0.001783 Loss_D_fake 0.017849
[1314/5000][180/535][135553] Loss_D: -0.019619 Loss_G: 0.007047 Loss_D_real: -0.005102 Loss_D_fake 0.014517
[1314/5000][185/535][135554] Loss_D: -0.019594 Loss_G: 0.001642 Loss_D_real: -0.010354 Loss_D_fake 0.009240
[1314/5000][190/535][135555] Loss_D: -0.020295 Loss_G: 0.007413 Loss_D_real: -0.018096 Loss_D_fake 0.002199
[1314/5000][195/535][135556] Loss_D: -0.020017 Loss_G: 0.015302 Loss_D_real: -0.010914 Loss_D_fake 0.009103
[1314/5000][200/535][135557] Loss_D: -0.019132 Loss_G: -0.005152 Loss_D_real: -0.001740 Loss_D_fake 0.017393
[1314/5000][205/535][135558] Loss_D: -0.018113 Loss_G: 0.021674 Loss_D_real: -0.031093 Loss_D_fake -0.012980
[1314/5000][210/535][135559] Loss_D: -0.020294 Loss_G: 0.004257 Loss_D_real: -0.014728 Loss_D_fake 0.005566
[1314/5000][215/535][135560] Loss_D: -0.019974 Loss_G: -0.008769 Loss_D_real: -0.009894 Loss_D_fake 0.010080
[1314/5000][220/535][135561] Loss_D: -0.019306 Loss_G: 0.003033 Loss_D_real: 0.002374 Loss_D_fake 0.021680
[1314/5000][225/535][135562] Loss_D: -0.018976 Loss_G: -0.010466 Loss_D_real: -0.002718 Loss_D_fake 0.016258
[1314/5000][230/535][135563] Loss_D: -0.020644 Loss_G: 0.016284 Loss_D_real: -0.020717 Loss_D_fake -0.000073
[1314/5000][235/535][135564] Loss_D: -0.020096 Loss_G: -0.006277 Loss_D_real: 0.001132 Loss_D_fake 0.021228
[1314/5000][240/535][135565] Loss_D: -0.019606 Loss_G: -0.010855 Loss_D_real: -0.008192 Loss_D_fake 0.011414
[1314/5000][245/535][135566] Loss_D: -0.020108 Loss_G: 0.029255 Loss_D_real: -0.011350 Loss_D_fake 0.008758
[1314/5000][250/535][135567] Loss_D: -0.020202 Loss_G: 0.005670 Loss_D_real: 0.002935 Loss_D_fake 0.023137
[1314/5000][255/535][135568] Loss_D: -0.020131 Loss_G: 0.014100 Loss_D_real: -0.021783 Loss_D_fake -0.001653
[1314/5000][260/535][135569] Loss_D: -0.019017 Loss_G: 0.007067 Loss_D_real: -0.002288 Loss_D_fake 0.016729
[1314/5000][265/535][135570] Loss_D: -0.019278 Loss_G: 0.017078 Loss_D_real: -0.022570 Loss_D_fake -0.003292
[1314/5000][270/535][135571] Loss_D: -0.019521 Loss_G: 0.001755 Loss_D_real: -0.011405 Loss_D_fake 0.008116
[1314/5000][275/535][135572] Loss_D: -0.021284 Loss_G: 0.006880 Loss_D_real: -0.028794 Loss_D_fake -0.007510
[1314/5000][280/535][135573] Loss_D: -0.021176 Loss_G: -0.001088 Loss_D_real: -0.011642 Loss_D_fake 0.009534
[1314/5000][285/535][135574] Loss_D: -0.019339 Loss_G: 0.014963 Loss_D_real: -0.017298 Loss_D_fake 0.002041
[1314/5000][290/535][135575] Loss_D: -0.018644 Loss_G: 0.032885 Loss_D_real: -0.030505 Loss_D_fake -0.011861
[1314/5000][295/535][135576] Loss_D: -0.020806 Loss_G: 0.011791 Loss_D_real: -0.017140 Loss_D_fake 0.003666
[1314/5000][300/535][135577] Loss_D: -0.019891 Loss_G: 0.010704 Loss_D_real: -0.012106 Loss_D_fake 0.007785
[1314/5000][305/535][135578] Loss_D: -0.019774 Loss_G: -0.005081 Loss_D_real: 0.000614 Loss_D_fake 0.020388
[1314/5000][310/535][135579] Loss_D: -0.018994 Loss_G: 0.020442 Loss_D_real: -0.021718 Loss_D_fake -0.002724
[1314/5000][315/535][135580] Loss_D: -0.020187 Loss_G: -0.001070 Loss_D_real: -0.009192 Loss_D_fake 0.010995
[1314/5000][320/535][135581] Loss_D: -0.019956 Loss_G: 0.000724 Loss_D_real: -0.014258 Loss_D_fake 0.005698
[1314/5000][325/535][135582] Loss_D: -0.019673 Loss_G: 0.002820 Loss_D_real: -0.018745 Loss_D_fake 0.000928
[1314/5000][330/535][135583] Loss_D: -0.019759 Loss_G: 0.023487 Loss_D_real: -0.024013 Loss_D_fake -0.004254
[1314/5000][335/535][135584] Loss_D: -0.020111 Loss_G: 0.013765 Loss_D_real: -0.013588 Loss_D_fake 0.006524
[1314/5000][340/535][135585] Loss_D: -0.019243 Loss_G: 0.002787 Loss_D_real: -0.009321 Loss_D_fake 0.009922
[1314/5000][345/535][135586] Loss_D: -0.020253 Loss_G: 0.006553 Loss_D_real: -0.015085 Loss_D_fake 0.005168
[1314/5000][350/535][135587] Loss_D: -0.020129 Loss_G: 0.005592 Loss_D_real: -0.013077 Loss_D_fake 0.007052
[1314/5000][355/535][135588] Loss_D: -0.020601 Loss_G: 0.007334 Loss_D_real: -0.026612 Loss_D_fake -0.006012
[1314/5000][360/535][135589] Loss_D: -0.020534 Loss_G: 0.006758 Loss_D_real: -0.009551 Loss_D_fake 0.010983
[1314/5000][365/535][135590] Loss_D: -0.019731 Loss_G: -0.006739 Loss_D_real: -0.014156 Loss_D_fake 0.005575
[1314/5000][370/535][135591] Loss_D: -0.019384 Loss_G: 0.024055 Loss_D_real: -0.032734 Loss_D_fake -0.013349
[1314/5000][375/535][135592] Loss_D: -0.019549 Loss_G: 0.000243 Loss_D_real: -0.003128 Loss_D_fake 0.016421
[1314/5000][380/535][135593] Loss_D: -0.018540 Loss_G: 0.015048 Loss_D_real: -0.019253 Loss_D_fake -0.000713
[1314/5000][385/535][135594] Loss_D: -0.019517 Loss_G: 0.006556 Loss_D_real: -0.015422 Loss_D_fake 0.004095
[1314/5000][390/535][135595] Loss_D: -0.020356 Loss_G: 0.005894 Loss_D_real: -0.012527 Loss_D_fake 0.007830
[1314/5000][395/535][135596] Loss_D: -0.019025 Loss_G: 0.011530 Loss_D_real: -0.014669 Loss_D_fake 0.004356
[1314/5000][400/535][135597] Loss_D: -0.018558 Loss_G: 0.018859 Loss_D_real: -0.019996 Loss_D_fake -0.001437
[1314/5000][405/535][135598] Loss_D: -0.019993 Loss_G: 0.021715 Loss_D_real: -0.027403 Loss_D_fake -0.007410
[1314/5000][410/535][135599] Loss_D: -0.020724 Loss_G: -0.001949 Loss_D_real: -0.017993 Loss_D_fake 0.002731
[1314/5000][415/535][135600] Loss_D: -0.020627 Loss_G: 0.021276 Loss_D_real: -0.019249 Loss_D_fake 0.001378
[1314/5000][420/535][135601] Loss_D: -0.018736 Loss_G: -0.014277 Loss_D_real: 0.000400 Loss_D_fake 0.019136
[1314/5000][425/535][135602] Loss_D: -0.020093 Loss_G: 0.014715 Loss_D_real: -0.019782 Loss_D_fake 0.000311
[1314/5000][430/535][135603] Loss_D: -0.019839 Loss_G: 0.007592 Loss_D_real: -0.002954 Loss_D_fake 0.016884
[1314/5000][435/535][135604] Loss_D: -0.021498 Loss_G: 0.024583 Loss_D_real: -0.015687 Loss_D_fake 0.005810
[1314/5000][440/535][135605] Loss_D: -0.018359 Loss_G: -0.006462 Loss_D_real: 0.001671 Loss_D_fake 0.020030
[1314/5000][445/535][135606] Loss_D: -0.020268 Loss_G: 0.013790 Loss_D_real: 0.002446 Loss_D_fake 0.022714
[1314/5000][450/535][135607] Loss_D: -0.019141 Loss_G: 0.019443 Loss_D_real: -0.029102 Loss_D_fake -0.009961
[1314/5000][455/535][135608] Loss_D: -0.020264 Loss_G: 0.006851 Loss_D_real: -0.010449 Loss_D_fake 0.009815
[1314/5000][460/535][135609] Loss_D: -0.018800 Loss_G: -0.015145 Loss_D_real: 0.009112 Loss_D_fake 0.027912
[1314/5000][465/535][135610] Loss_D: -0.020118 Loss_G: -0.005285 Loss_D_real: -0.007719 Loss_D_fake 0.012399
[1314/5000][470/535][135611] Loss_D: -0.019815 Loss_G: -0.001432 Loss_D_real: -0.008648 Loss_D_fake 0.011167
[1314/5000][475/535][135612] Loss_D: -0.020298 Loss_G: 0.024843 Loss_D_real: -0.009015 Loss_D_fake 0.011283
[1314/5000][480/535][135613] Loss_D: -0.018712 Loss_G: 0.002262 Loss_D_real: -0.005760 Loss_D_fake 0.012951
[1314/5000][485/535][135614] Loss_D: -0.019022 Loss_G: 0.013128 Loss_D_real: -0.035368 Loss_D_fake -0.016346
[1314/5000][490/535][135615] Loss_D: -0.021162 Loss_G: 0.005421 Loss_D_real: -0.011867 Loss_D_fake 0.009295
[1314/5000][495/535][135616] Loss_D: -0.020298 Loss_G: 0.013671 Loss_D_real: -0.006283 Loss_D_fake 0.014015
[1314/5000][500/535][135617] Loss_D: -0.019279 Loss_G: 0.010216 Loss_D_real: -0.010539 Loss_D_fake 0.008740
[1314/5000][505/535][135618] Loss_D: -0.020479 Loss_G: -0.010860 Loss_D_real: -0.004462 Loss_D_fake 0.016016
[1314/5000][510/535][135619] Loss_D: -0.018578 Loss_G: -0.000943 Loss_D_real: 0.004599 Loss_D_fake 0.023177
[1314/5000][515/535][135620] Loss_D: -0.020411 Loss_G: -0.008473 Loss_D_real: -0.007325 Loss_D_fake 0.013086
[1314/5000][520/535][135621] Loss_D: -0.018093 Loss_G: 0.004071 Loss_D_real: -0.004245 Loss_D_fake 0.013849
[1314/5000][525/535][135622] Loss_D: -0.018809 Loss_G: 0.019879 Loss_D_real: -0.016809 Loss_D_fake 0.002000
[1314/5000][530/535][135623] Loss_D: -0.019729 Loss_G: 0.004759 Loss_D_real: -0.013117 Loss_D_fake 0.006612
[1314/5000][535/535][135624] Loss_D: -0.016733 Loss_G: 0.020591 Loss_D_real: 0.002261 Loss_D_fake 0.018994
[1315/5000][5/535][135625] Loss_D: -0.019977 Loss_G: 0.015620 Loss_D_real: -0.021558 Loss_D_fake -0.001581
[1315/5000][10/535][135626] Loss_D: -0.019188 Loss_G: 0.009658 Loss_D_real: -0.018104 Loss_D_fake 0.001084
[1315/5000][15/535][135627] Loss_D: -0.019178 Loss_G: 0.015904 Loss_D_real: -0.008640 Loss_D_fake 0.010538
[1315/5000][20/535][135628] Loss_D: -0.019519 Loss_G: 0.007924 Loss_D_real: -0.027475 Loss_D_fake -0.007956
[1315/5000][25/535][135629] Loss_D: -0.019689 Loss_G: 0.016455 Loss_D_real: -0.021580 Loss_D_fake -0.001891
[1315/5000][30/535][135630] Loss_D: -0.022680 Loss_G: 0.009146 Loss_D_real: -0.010469 Loss_D_fake 0.012212
[1315/5000][35/535][135631] Loss_D: -0.020791 Loss_G: -0.001784 Loss_D_real: -0.008302 Loss_D_fake 0.012490
[1315/5000][40/535][135632] Loss_D: -0.018741 Loss_G: 0.018902 Loss_D_real: -0.014153 Loss_D_fake 0.004588
[1315/5000][45/535][135633] Loss_D: -0.020297 Loss_G: -0.000355 Loss_D_real: -0.016435 Loss_D_fake 0.003862
[1315/5000][50/535][135634] Loss_D: -0.019693 Loss_G: 0.011289 Loss_D_real: -0.020778 Loss_D_fake -0.001085
[1315/5000][55/535][135635] Loss_D: -0.019800 Loss_G: 0.017122 Loss_D_real: -0.025426 Loss_D_fake -0.005626
[1315/5000][60/535][135636] Loss_D: -0.019515 Loss_G: 0.018138 Loss_D_real: -0.021615 Loss_D_fake -0.002100
[1315/5000][65/535][135637] Loss_D: -0.021210 Loss_G: 0.022960 Loss_D_real: -0.019900 Loss_D_fake 0.001311
[1315/5000][70/535][135638] Loss_D: -0.020869 Loss_G: -0.015980 Loss_D_real: -0.013005 Loss_D_fake 0.007864
[1315/5000][75/535][135639] Loss_D: -0.018332 Loss_G: -0.002799 Loss_D_real: -0.003403 Loss_D_fake 0.014929
[1315/5000][80/535][135640] Loss_D: -0.021064 Loss_G: 0.015728 Loss_D_real: -0.006425 Loss_D_fake 0.014638
[1315/5000][85/535][135641] Loss_D: -0.020000 Loss_G: 0.009025 Loss_D_real: -0.009100 Loss_D_fake 0.010900
[1315/5000][90/535][135642] Loss_D: -0.019618 Loss_G: 0.026800 Loss_D_real: -0.025654 Loss_D_fake -0.006037
[1315/5000][95/535][135643] Loss_D: -0.019475 Loss_G: -0.007700 Loss_D_real: 0.004106 Loss_D_fake 0.023581
[1315/5000][100/535][135644] Loss_D: -0.018964 Loss_G: -0.008845 Loss_D_real: -0.006968 Loss_D_fake 0.011996
[1315/5000][105/535][135645] Loss_D: -0.019824 Loss_G: 0.005718 Loss_D_real: -0.014103 Loss_D_fake 0.005721
[1315/5000][110/535][135646] Loss_D: -0.018894 Loss_G: 0.015922 Loss_D_real: -0.023763 Loss_D_fake -0.004869
[1315/5000][115/535][135647] Loss_D: -0.018157 Loss_G: 0.021246 Loss_D_real: -0.023472 Loss_D_fake -0.005316
[1315/5000][120/535][135648] Loss_D: -0.020396 Loss_G: -0.001742 Loss_D_real: 0.006712 Loss_D_fake 0.027107
[1315/5000][125/535][135649] Loss_D: -0.020925 Loss_G: 0.002774 Loss_D_real: -0.009674 Loss_D_fake 0.011251
[1315/5000][130/535][135650] Loss_D: -0.020068 Loss_G: 0.009518 Loss_D_real: -0.013633 Loss_D_fake 0.006435
[1315/5000][135/535][135651] Loss_D: -0.019228 Loss_G: 0.028807 Loss_D_real: -0.024621 Loss_D_fake -0.005392
[1315/5000][140/535][135652] Loss_D: -0.019795 Loss_G: 0.014623 Loss_D_real: -0.031926 Loss_D_fake -0.012131
[1315/5000][145/535][135653] Loss_D: -0.018670 Loss_G: 0.021062 Loss_D_real: -0.031473 Loss_D_fake -0.012803
[1315/5000][150/535][135654] Loss_D: -0.018709 Loss_G: 0.005575 Loss_D_real: -0.011403 Loss_D_fake 0.007306
[1315/5000][155/535][135655] Loss_D: -0.020099 Loss_G: -0.007389 Loss_D_real: -0.006668 Loss_D_fake 0.013431
[1315/5000][160/535][135656] Loss_D: -0.019934 Loss_G: 0.000948 Loss_D_real: -0.008487 Loss_D_fake 0.011447
[1315/5000][165/535][135657] Loss_D: -0.019606 Loss_G: 0.010984 Loss_D_real: -0.004443 Loss_D_fake 0.015163
[1315/5000][170/535][135658] Loss_D: -0.019766 Loss_G: 0.012086 Loss_D_real: -0.010875 Loss_D_fake 0.008891
[1315/5000][175/535][135659] Loss_D: -0.020186 Loss_G: 0.018153 Loss_D_real: -0.030112 Loss_D_fake -0.009926
[1315/5000][180/535][135660] Loss_D: -0.019580 Loss_G: 0.002579 Loss_D_real: -0.022562 Loss_D_fake -0.002982
[1315/5000][185/535][135661] Loss_D: -0.019545 Loss_G: 0.007134 Loss_D_real: -0.007880 Loss_D_fake 0.011665
[1315/5000][190/535][135662] Loss_D: -0.020128 Loss_G: 0.013563 Loss_D_real: -0.023805 Loss_D_fake -0.003678
[1315/5000][195/535][135663] Loss_D: -0.020422 Loss_G: 0.004829 Loss_D_real: -0.004274 Loss_D_fake 0.016147
[1315/5000][200/535][135664] Loss_D: -0.019773 Loss_G: -0.007383 Loss_D_real: -0.014474 Loss_D_fake 0.005299
[1315/5000][205/535][135665] Loss_D: -0.020095 Loss_G: 0.019419 Loss_D_real: -0.023057 Loss_D_fake -0.002962
[1315/5000][210/535][135666] Loss_D: -0.019477 Loss_G: 0.018007 Loss_D_real: -0.026725 Loss_D_fake -0.007247
[1315/5000][215/535][135667] Loss_D: -0.020592 Loss_G: 0.015654 Loss_D_real: -0.023216 Loss_D_fake -0.002624
[1315/5000][220/535][135668] Loss_D: -0.020768 Loss_G: -0.005780 Loss_D_real: -0.011370 Loss_D_fake 0.009398
[1315/5000][225/535][135669] Loss_D: -0.018845 Loss_G: -0.003743 Loss_D_real: 0.012614 Loss_D_fake 0.031459
[1315/5000][230/535][135670] Loss_D: -0.021148 Loss_G: 0.006822 Loss_D_real: -0.016005 Loss_D_fake 0.005143
[1315/5000][235/535][135671] Loss_D: -0.018356 Loss_G: -0.008635 Loss_D_real: 0.002083 Loss_D_fake 0.020439
[1315/5000][240/535][135672] Loss_D: -0.017882 Loss_G: -0.000412 Loss_D_real: 0.001270 Loss_D_fake 0.019153
[1315/5000][245/535][135673] Loss_D: -0.018863 Loss_G: -0.006463 Loss_D_real: 0.002113 Loss_D_fake 0.020977
[1315/5000][250/535][135674] Loss_D: -0.018585 Loss_G: 0.005422 Loss_D_real: -0.011011 Loss_D_fake 0.007574
[1315/5000][255/535][135675] Loss_D: -0.019027 Loss_G: 0.009252 Loss_D_real: -0.020803 Loss_D_fake -0.001777
[1315/5000][260/535][135676] Loss_D: -0.019748 Loss_G: 0.017761 Loss_D_real: -0.006255 Loss_D_fake 0.013493
[1315/5000][265/535][135677] Loss_D: -0.017898 Loss_G: -0.002631 Loss_D_real: 0.001042 Loss_D_fake 0.018940
[1315/5000][270/535][135678] Loss_D: -0.018656 Loss_G: 0.016703 Loss_D_real: -0.026756 Loss_D_fake -0.008100
[1315/5000][275/535][135679] Loss_D: -0.019293 Loss_G: 0.000553 Loss_D_real: -0.017000 Loss_D_fake 0.002293
[1315/5000][280/535][135680] Loss_D: -0.018524 Loss_G: 0.019692 Loss_D_real: -0.008409 Loss_D_fake 0.010114
[1315/5000][285/535][135681] Loss_D: -0.019096 Loss_G: -0.004289 Loss_D_real: -0.009866 Loss_D_fake 0.009230
[1315/5000][290/535][135682] Loss_D: -0.020019 Loss_G: 0.009351 Loss_D_real: -0.023428 Loss_D_fake -0.003408
[1315/5000][295/535][135683] Loss_D: -0.020875 Loss_G: 0.005786 Loss_D_real: -0.003356 Loss_D_fake 0.017520
[1315/5000][300/535][135684] Loss_D: -0.022185 Loss_G: 0.015436 Loss_D_real: -0.006176 Loss_D_fake 0.016009
[1315/5000][305/535][135685] Loss_D: -0.021283 Loss_G: -0.001197 Loss_D_real: -0.011129 Loss_D_fake 0.010154
[1315/5000][310/535][135686] Loss_D: -0.020643 Loss_G: 0.000413 Loss_D_real: 0.001137 Loss_D_fake 0.021781
[1315/5000][315/535][135687] Loss_D: -0.020410 Loss_G: 0.016761 Loss_D_real: -0.008860 Loss_D_fake 0.011550
[1315/5000][320/535][135688] Loss_D: -0.019802 Loss_G: -0.003464 Loss_D_real: -0.011661 Loss_D_fake 0.008140
[1315/5000][325/535][135689] Loss_D: -0.017610 Loss_G: 0.005661 Loss_D_real: -0.010187 Loss_D_fake 0.007423
[1315/5000][330/535][135690] Loss_D: -0.021341 Loss_G: -0.011164 Loss_D_real: -0.010793 Loss_D_fake 0.010547
[1315/5000][335/535][135691] Loss_D: -0.020117 Loss_G: -0.002651 Loss_D_real: -0.002089 Loss_D_fake 0.018028
[1315/5000][340/535][135692] Loss_D: -0.019498 Loss_G: 0.028376 Loss_D_real: -0.027378 Loss_D_fake -0.007880
[1315/5000][345/535][135693] Loss_D: -0.020370 Loss_G: 0.008877 Loss_D_real: -0.005995 Loss_D_fake 0.014375
[1315/5000][350/535][135694] Loss_D: -0.019953 Loss_G: 0.013815 Loss_D_real: -0.014451 Loss_D_fake 0.005502
[1315/5000][355/535][135695] Loss_D: -0.020254 Loss_G: 0.005560 Loss_D_real: -0.003417 Loss_D_fake 0.016837
[1315/5000][360/535][135696] Loss_D: -0.019927 Loss_G: -0.003864 Loss_D_real: -0.005131 Loss_D_fake 0.014796
[1315/5000][365/535][135697] Loss_D: -0.018186 Loss_G: 0.025340 Loss_D_real: -0.032983 Loss_D_fake -0.014797
[1315/5000][370/535][135698] Loss_D: -0.020879 Loss_G: 0.008053 Loss_D_real: -0.008664 Loss_D_fake 0.012214
[1315/5000][375/535][135699] Loss_D: -0.020391 Loss_G: 0.008079 Loss_D_real: -0.013040 Loss_D_fake 0.007351
[1315/5000][380/535][135700] Loss_D: -0.019004 Loss_G: 0.009264 Loss_D_real: -0.018714 Loss_D_fake 0.000290
[1315/5000][385/535][135701] Loss_D: -0.019284 Loss_G: 0.005262 Loss_D_real: -0.003490 Loss_D_fake 0.015794
[1315/5000][390/535][135702] Loss_D: -0.019734 Loss_G: 0.012213 Loss_D_real: -0.006597 Loss_D_fake 0.013138
[1315/5000][395/535][135703] Loss_D: -0.019736 Loss_G: -0.000518 Loss_D_real: 0.006580 Loss_D_fake 0.026316
[1315/5000][400/535][135704] Loss_D: -0.020105 Loss_G: 0.018388 Loss_D_real: -0.012151 Loss_D_fake 0.007954
[1315/5000][405/535][135705] Loss_D: -0.018913 Loss_G: -0.004671 Loss_D_real: 0.003746 Loss_D_fake 0.022659
[1315/5000][410/535][135706] Loss_D: -0.019961 Loss_G: 0.014356 Loss_D_real: -0.011663 Loss_D_fake 0.008298
[1315/5000][415/535][135707] Loss_D: -0.019192 Loss_G: 0.020252 Loss_D_real: -0.028273 Loss_D_fake -0.009081
[1315/5000][420/535][135708] Loss_D: -0.019719 Loss_G: 0.019602 Loss_D_real: -0.023186 Loss_D_fake -0.003467
[1315/5000][425/535][135709] Loss_D: -0.023209 Loss_G: 0.006692 Loss_D_real: -0.015485 Loss_D_fake 0.007724
[1315/5000][430/535][135710] Loss_D: -0.020510 Loss_G: 0.006713 Loss_D_real: -0.006733 Loss_D_fake 0.013777
[1315/5000][435/535][135711] Loss_D: -0.021984 Loss_G: 0.004002 Loss_D_real: -0.033471 Loss_D_fake -0.011487
[1315/5000][440/535][135712] Loss_D: -0.018938 Loss_G: -0.012133 Loss_D_real: 0.007103 Loss_D_fake 0.026042
[1315/5000][445/535][135713] Loss_D: -0.020309 Loss_G: -0.006587 Loss_D_real: -0.000313 Loss_D_fake 0.019996
[1315/5000][450/535][135714] Loss_D: -0.020975 Loss_G: 0.018275 Loss_D_real: -0.016098 Loss_D_fake 0.004878
[1315/5000][455/535][135715] Loss_D: -0.019513 Loss_G: -0.007762 Loss_D_real: 0.001115 Loss_D_fake 0.020628
[1315/5000][460/535][135716] Loss_D: -0.019883 Loss_G: 0.014070 Loss_D_real: -0.020246 Loss_D_fake -0.000364
[1315/5000][465/535][135717] Loss_D: -0.019886 Loss_G: 0.009263 Loss_D_real: -0.009477 Loss_D_fake 0.010409
[1315/5000][470/535][135718] Loss_D: -0.020269 Loss_G: 0.009682 Loss_D_real: -0.001784 Loss_D_fake 0.018485
[1315/5000][475/535][135719] Loss_D: -0.021669 Loss_G: 0.012781 Loss_D_real: -0.017664 Loss_D_fake 0.004005
[1315/5000][480/535][135720] Loss_D: -0.019788 Loss_G: 0.015228 Loss_D_real: -0.027618 Loss_D_fake -0.007830
[1315/5000][485/535][135721] Loss_D: -0.018278 Loss_G: 0.013787 Loss_D_real: -0.014535 Loss_D_fake 0.003743
[1315/5000][490/535][135722] Loss_D: -0.019826 Loss_G: -0.008637 Loss_D_real: -0.004070 Loss_D_fake 0.015756
[1315/5000][495/535][135723] Loss_D: -0.019645 Loss_G: 0.025210 Loss_D_real: -0.022793 Loss_D_fake -0.003148
[1315/5000][500/535][135724] Loss_D: -0.018680 Loss_G: 0.016060 Loss_D_real: -0.018726 Loss_D_fake -0.000046
[1315/5000][505/535][135725] Loss_D: -0.019527 Loss_G: 0.001019 Loss_D_real: -0.001704 Loss_D_fake 0.017823
[1315/5000][510/535][135726] Loss_D: -0.017610 Loss_G: 0.023475 Loss_D_real: -0.028627 Loss_D_fake -0.011016
[1315/5000][515/535][135727] Loss_D: -0.020052 Loss_G: -0.010601 Loss_D_real: -0.002126 Loss_D_fake 0.017926
[1315/5000][520/535][135728] Loss_D: -0.018424 Loss_G: 0.012343 Loss_D_real: -0.014761 Loss_D_fake 0.003663
[1315/5000][525/535][135729] Loss_D: -0.019065 Loss_G: 0.003299 Loss_D_real: -0.011657 Loss_D_fake 0.007409
[1315/5000][530/535][135730] Loss_D: -0.020305 Loss_G: 0.010400 Loss_D_real: -0.023357 Loss_D_fake -0.003052
[1315/5000][535/535][135731] Loss_D: -0.017183 Loss_G: 0.038356 Loss_D_real: -0.023416 Loss_D_fake -0.006234
[1316/5000][5/535][135732] Loss_D: -0.018765 Loss_G: 0.016001 Loss_D_real: -0.026490 Loss_D_fake -0.007725
[1316/5000][10/535][135733] Loss_D: -0.019109 Loss_G: 0.020766 Loss_D_real: -0.023843 Loss_D_fake -0.004734
[1316/5000][15/535][135734] Loss_D: -0.019508 Loss_G: 0.007386 Loss_D_real: -0.020476 Loss_D_fake -0.000968
[1316/5000][20/535][135735] Loss_D: -0.020609 Loss_G: 0.005578 Loss_D_real: 0.006712 Loss_D_fake 0.027321
[1316/5000][25/535][135736] Loss_D: -0.018954 Loss_G: 0.021970 Loss_D_real: -0.024035 Loss_D_fake -0.005080
[1316/5000][30/535][135737] Loss_D: -0.020228 Loss_G: -0.010102 Loss_D_real: -0.000963 Loss_D_fake 0.019265
[1316/5000][35/535][135738] Loss_D: -0.018871 Loss_G: 0.007649 Loss_D_real: -0.019938 Loss_D_fake -0.001067
[1316/5000][40/535][135739] Loss_D: -0.017983 Loss_G: 0.002184 Loss_D_real: -0.004915 Loss_D_fake 0.013068
[1316/5000][45/535][135740] Loss_D: -0.019470 Loss_G: 0.011967 Loss_D_real: -0.023306 Loss_D_fake -0.003835
[1316/5000][50/535][135741] Loss_D: -0.020076 Loss_G: 0.002256 Loss_D_real: -0.010240 Loss_D_fake 0.009836
[1316/5000][55/535][135742] Loss_D: -0.019512 Loss_G: -0.000578 Loss_D_real: -0.009326 Loss_D_fake 0.010187
[1316/5000][60/535][135743] Loss_D: -0.022013 Loss_G: -0.001537 Loss_D_real: -0.005519 Loss_D_fake 0.016494
[1316/5000][65/535][135744] Loss_D: -0.018914 Loss_G: -0.002965 Loss_D_real: -0.003549 Loss_D_fake 0.015365
[1316/5000][70/535][135745] Loss_D: -0.020039 Loss_G: 0.009615 Loss_D_real: -0.008493 Loss_D_fake 0.011546
[1316/5000][75/535][135746] Loss_D: -0.020700 Loss_G: 0.010880 Loss_D_real: -0.013190 Loss_D_fake 0.007511
[1316/5000][80/535][135747] Loss_D: -0.019776 Loss_G: 0.018211 Loss_D_real: -0.021270 Loss_D_fake -0.001494
[1316/5000][85/535][135748] Loss_D: -0.018339 Loss_G: 0.019942 Loss_D_real: -0.031635 Loss_D_fake -0.013296
[1316/5000][90/535][135749] Loss_D: -0.020321 Loss_G: -0.006065 Loss_D_real: -0.007019 Loss_D_fake 0.013302
[1316/5000][95/535][135750] Loss_D: -0.020212 Loss_G: -0.006917 Loss_D_real: -0.004776 Loss_D_fake 0.015435
[1316/5000][100/535][135751] Loss_D: -0.020694 Loss_G: 0.004799 Loss_D_real: -0.006815 Loss_D_fake 0.013879
[1316/5000][105/535][135752] Loss_D: -0.021076 Loss_G: 0.004370 Loss_D_real: -0.008335 Loss_D_fake 0.012741
[1316/5000][110/535][135753] Loss_D: -0.020317 Loss_G: -0.010381 Loss_D_real: 0.000880 Loss_D_fake 0.021197
[1316/5000][115/535][135754] Loss_D: -0.019802 Loss_G: 0.010459 Loss_D_real: -0.004617 Loss_D_fake 0.015185
[1316/5000][120/535][135755] Loss_D: -0.021071 Loss_G: 0.011488 Loss_D_real: -0.007710 Loss_D_fake 0.013361
[1316/5000][125/535][135756] Loss_D: -0.018690 Loss_G: 0.010002 Loss_D_real: -0.030868 Loss_D_fake -0.012178
[1316/5000][130/535][135757] Loss_D: -0.019750 Loss_G: 0.020364 Loss_D_real: -0.018531 Loss_D_fake 0.001219
[1316/5000][135/535][135758] Loss_D: -0.019410 Loss_G: 0.005878 Loss_D_real: -0.012956 Loss_D_fake 0.006454
[1316/5000][140/535][135759] Loss_D: -0.019095 Loss_G: -0.005634 Loss_D_real: 0.003337 Loss_D_fake 0.022432
[1316/5000][145/535][135760] Loss_D: -0.019437 Loss_G: -0.012289 Loss_D_real: 0.000308 Loss_D_fake 0.019745
[1316/5000][150/535][135761] Loss_D: -0.019636 Loss_G: 0.004469 Loss_D_real: -0.018644 Loss_D_fake 0.000992
[1316/5000][155/535][135762] Loss_D: -0.019990 Loss_G: 0.024812 Loss_D_real: -0.024443 Loss_D_fake -0.004452
[1316/5000][160/535][135763] Loss_D: -0.020207 Loss_G: 0.001469 Loss_D_real: 0.004094 Loss_D_fake 0.024300
[1316/5000][165/535][135764] Loss_D: -0.019966 Loss_G: 0.027129 Loss_D_real: -0.010605 Loss_D_fake 0.009361
[1316/5000][170/535][135765] Loss_D: -0.020327 Loss_G: -0.000863 Loss_D_real: -0.019354 Loss_D_fake 0.000972
[1316/5000][175/535][135766] Loss_D: -0.019028 Loss_G: 0.009649 Loss_D_real: 0.005582 Loss_D_fake 0.024610
[1316/5000][180/535][135767] Loss_D: -0.020392 Loss_G: 0.013759 Loss_D_real: -0.030065 Loss_D_fake -0.009673
[1316/5000][185/535][135768] Loss_D: -0.019477 Loss_G: 0.006794 Loss_D_real: -0.024438 Loss_D_fake -0.004961
[1316/5000][190/535][135769] Loss_D: -0.019784 Loss_G: -0.007597 Loss_D_real: -0.000843 Loss_D_fake 0.018941
[1316/5000][195/535][135770] Loss_D: -0.019269 Loss_G: 0.002456 Loss_D_real: -0.004373 Loss_D_fake 0.014896
[1316/5000][200/535][135771] Loss_D: -0.019416 Loss_G: 0.000681 Loss_D_real: -0.021277 Loss_D_fake -0.001861
[1316/5000][205/535][135772] Loss_D: -0.019491 Loss_G: 0.009018 Loss_D_real: -0.012961 Loss_D_fake 0.006530
[1316/5000][210/535][135773] Loss_D: -0.020111 Loss_G: 0.023773 Loss_D_real: -0.018445 Loss_D_fake 0.001666
[1316/5000][215/535][135774] Loss_D: -0.018441 Loss_G: 0.020688 Loss_D_real: -0.026055 Loss_D_fake -0.007614
[1316/5000][220/535][135775] Loss_D: -0.020551 Loss_G: 0.007422 Loss_D_real: 0.002753 Loss_D_fake 0.023304
[1316/5000][225/535][135776] Loss_D: -0.020589 Loss_G: 0.016365 Loss_D_real: -0.020688 Loss_D_fake -0.000099
[1316/5000][230/535][135777] Loss_D: -0.019294 Loss_G: -0.012234 Loss_D_real: 0.000218 Loss_D_fake 0.019512
[1316/5000][235/535][135778] Loss_D: -0.020134 Loss_G: 0.001935 Loss_D_real: -0.019672 Loss_D_fake 0.000462
[1316/5000][240/535][135779] Loss_D: -0.020327 Loss_G: -0.009642 Loss_D_real: -0.007274 Loss_D_fake 0.013052
[1316/5000][245/535][135780] Loss_D: -0.020015 Loss_G: 0.019719 Loss_D_real: -0.020992 Loss_D_fake -0.000977
[1316/5000][250/535][135781] Loss_D: -0.020331 Loss_G: 0.008051 Loss_D_real: -0.001516 Loss_D_fake 0.018815
[1316/5000][255/535][135782] Loss_D: -0.019326 Loss_G: 0.027895 Loss_D_real: -0.027054 Loss_D_fake -0.007729
[1316/5000][260/535][135783] Loss_D: -0.020626 Loss_G: 0.004263 Loss_D_real: -0.032461 Loss_D_fake -0.011835
[1316/5000][265/535][135784] Loss_D: -0.019946 Loss_G: 0.007616 Loss_D_real: -0.009555 Loss_D_fake 0.010392
[1316/5000][270/535][135785] Loss_D: -0.021024 Loss_G: 0.005776 Loss_D_real: -0.004388 Loss_D_fake 0.016637
[1316/5000][275/535][135786] Loss_D: -0.020967 Loss_G: 0.016852 Loss_D_real: -0.020938 Loss_D_fake 0.000029
[1316/5000][280/535][135787] Loss_D: -0.021609 Loss_G: 0.003158 Loss_D_real: -0.020172 Loss_D_fake 0.001437
[1316/5000][285/535][135788] Loss_D: -0.019202 Loss_G: 0.001451 Loss_D_real: -0.016182 Loss_D_fake 0.003020
[1316/5000][290/535][135789] Loss_D: -0.019763 Loss_G: -0.008153 Loss_D_real: 0.001932 Loss_D_fake 0.021695
[1316/5000][295/535][135790] Loss_D: -0.019688 Loss_G: -0.009730 Loss_D_real: -0.013886 Loss_D_fake 0.005801
[1316/5000][300/535][135791] Loss_D: -0.019563 Loss_G: 0.018091 Loss_D_real: -0.026064 Loss_D_fake -0.006501
[1316/5000][305/535][135792] Loss_D: -0.017798 Loss_G: 0.024087 Loss_D_real: -0.017440 Loss_D_fake 0.000359
[1316/5000][310/535][135793] Loss_D: -0.018512 Loss_G: 0.015074 Loss_D_real: -0.015024 Loss_D_fake 0.003488
[1316/5000][315/535][135794] Loss_D: -0.018092 Loss_G: 0.024671 Loss_D_real: -0.027850 Loss_D_fake -0.009758
[1316/5000][320/535][135795] Loss_D: -0.018021 Loss_G: 0.010794 Loss_D_real: -0.009740 Loss_D_fake 0.008281
[1316/5000][325/535][135796] Loss_D: -0.019985 Loss_G: 0.023337 Loss_D_real: -0.023003 Loss_D_fake -0.003018
[1316/5000][330/535][135797] Loss_D: -0.019961 Loss_G: 0.001382 Loss_D_real: -0.011051 Loss_D_fake 0.008910
[1316/5000][335/535][135798] Loss_D: -0.020524 Loss_G: 0.014804 Loss_D_real: -0.013248 Loss_D_fake 0.007275
[1316/5000][340/535][135799] Loss_D: -0.020415 Loss_G: 0.005513 Loss_D_real: -0.020605 Loss_D_fake -0.000190
[1316/5000][345/535][135800] Loss_D: -0.019236 Loss_G: 0.002007 Loss_D_real: -0.005075 Loss_D_fake 0.014161
[1316/5000][350/535][135801] Loss_D: -0.020455 Loss_G: 0.014696 Loss_D_real: -0.020657 Loss_D_fake -0.000203
[1316/5000][355/535][135802] Loss_D: -0.018301 Loss_G: 0.019335 Loss_D_real: -0.032354 Loss_D_fake -0.014053
[1316/5000][360/535][135803] Loss_D: -0.018861 Loss_G: 0.023478 Loss_D_real: -0.031161 Loss_D_fake -0.012300
[1316/5000][365/535][135804] Loss_D: -0.019082 Loss_G: -0.018654 Loss_D_real: 0.005334 Loss_D_fake 0.024416
[1316/5000][370/535][135805] Loss_D: -0.019878 Loss_G: -0.003782 Loss_D_real: -0.012511 Loss_D_fake 0.007367
[1316/5000][375/535][135806] Loss_D: -0.019098 Loss_G: 0.029766 Loss_D_real: -0.021346 Loss_D_fake -0.002248
[1316/5000][380/535][135807] Loss_D: -0.019768 Loss_G: 0.018279 Loss_D_real: -0.037514 Loss_D_fake -0.017747
[1316/5000][385/535][135808] Loss_D: -0.020000 Loss_G: 0.009470 Loss_D_real: -0.017883 Loss_D_fake 0.002117
[1316/5000][390/535][135809] Loss_D: -0.018885 Loss_G: 0.013533 Loss_D_real: -0.012544 Loss_D_fake 0.006342
[1316/5000][395/535][135810] Loss_D: -0.020393 Loss_G: 0.004982 Loss_D_real: -0.011520 Loss_D_fake 0.008873
[1316/5000][400/535][135811] Loss_D: -0.020268 Loss_G: 0.011856 Loss_D_real: -0.024117 Loss_D_fake -0.003849
[1316/5000][405/535][135812] Loss_D: -0.018667 Loss_G: -0.011392 Loss_D_real: 0.011545 Loss_D_fake 0.030212
[1316/5000][410/535][135813] Loss_D: -0.018733 Loss_G: 0.001001 Loss_D_real: -0.013634 Loss_D_fake 0.005099
[1316/5000][415/535][135814] Loss_D: -0.017558 Loss_G: -0.022036 Loss_D_real: 0.012158 Loss_D_fake 0.029717
[1316/5000][420/535][135815] Loss_D: -0.020504 Loss_G: 0.009589 Loss_D_real: 0.001991 Loss_D_fake 0.022495
[1316/5000][425/535][135816] Loss_D: -0.019840 Loss_G: 0.019327 Loss_D_real: -0.019430 Loss_D_fake 0.000410
[1316/5000][430/535][135817] Loss_D: -0.017996 Loss_G: 0.004346 Loss_D_real: -0.014831 Loss_D_fake 0.003165
[1316/5000][435/535][135818] Loss_D: -0.018547 Loss_G: 0.015030 Loss_D_real: -0.020374 Loss_D_fake -0.001828
[1316/5000][440/535][135819] Loss_D: -0.018676 Loss_G: 0.020970 Loss_D_real: -0.027897 Loss_D_fake -0.009222
[1316/5000][445/535][135820] Loss_D: -0.021185 Loss_G: 0.012511 Loss_D_real: -0.008721 Loss_D_fake 0.012464
[1316/5000][450/535][135821] Loss_D: -0.020121 Loss_G: -0.006178 Loss_D_real: -0.011187 Loss_D_fake 0.008933
[1316/5000][455/535][135822] Loss_D: -0.019545 Loss_G: 0.006298 Loss_D_real: -0.021635 Loss_D_fake -0.002091
[1316/5000][460/535][135823] Loss_D: -0.019538 Loss_G: 0.001404 Loss_D_real: -0.002070 Loss_D_fake 0.017468
[1316/5000][465/535][135824] Loss_D: -0.019177 Loss_G: -0.001430 Loss_D_real: -0.005669 Loss_D_fake 0.013508
[1316/5000][470/535][135825] Loss_D: -0.019956 Loss_G: -0.004160 Loss_D_real: -0.007066 Loss_D_fake 0.012890
[1316/5000][475/535][135826] Loss_D: -0.019861 Loss_G: 0.019676 Loss_D_real: -0.014845 Loss_D_fake 0.005016
[1316/5000][480/535][135827] Loss_D: -0.021957 Loss_G: 0.005360 Loss_D_real: -0.018807 Loss_D_fake 0.003150
[1316/5000][485/535][135828] Loss_D: -0.020591 Loss_G: 0.003921 Loss_D_real: -0.016875 Loss_D_fake 0.003716
[1316/5000][490/535][135829] Loss_D: -0.019563 Loss_G: 0.002639 Loss_D_real: -0.015071 Loss_D_fake 0.004492
[1316/5000][495/535][135830] Loss_D: -0.021584 Loss_G: 0.017706 Loss_D_real: -0.009116 Loss_D_fake 0.012468
[1316/5000][500/535][135831] Loss_D: -0.019832 Loss_G: 0.007945 Loss_D_real: -0.001635 Loss_D_fake 0.018198
[1316/5000][505/535][135832] Loss_D: -0.020353 Loss_G: 0.006255 Loss_D_real: -0.014651 Loss_D_fake 0.005702
[1316/5000][510/535][135833] Loss_D: -0.020007 Loss_G: 0.012961 Loss_D_real: -0.017187 Loss_D_fake 0.002820
[1316/5000][515/535][135834] Loss_D: -0.019299 Loss_G: 0.001687 Loss_D_real: -0.012095 Loss_D_fake 0.007204
[1316/5000][520/535][135835] Loss_D: -0.019489 Loss_G: 0.008739 Loss_D_real: -0.021782 Loss_D_fake -0.002293
[1316/5000][525/535][135836] Loss_D: -0.019769 Loss_G: 0.017003 Loss_D_real: -0.018078 Loss_D_fake 0.001691
[1316/5000][530/535][135837] Loss_D: -0.019698 Loss_G: 0.018941 Loss_D_real: -0.021442 Loss_D_fake -0.001743
[1316/5000][535/535][135838] Loss_D: -0.019750 Loss_G: -0.035410 Loss_D_real: -0.016877 Loss_D_fake 0.002873
[1317/5000][5/535][135839] Loss_D: -0.019694 Loss_G: 0.020482 Loss_D_real: -0.019106 Loss_D_fake 0.000588
[1317/5000][10/535][135840] Loss_D: -0.019564 Loss_G: 0.015131 Loss_D_real: -0.011156 Loss_D_fake 0.008408
[1317/5000][15/535][135841] Loss_D: -0.021488 Loss_G: 0.012351 Loss_D_real: -0.009341 Loss_D_fake 0.012147
[1317/5000][20/535][135842] Loss_D: -0.020049 Loss_G: -0.016337 Loss_D_real: -0.004369 Loss_D_fake 0.015680
[1317/5000][25/535][135843] Loss_D: -0.018867 Loss_G: -0.001922 Loss_D_real: 0.000534 Loss_D_fake 0.019402
[1317/5000][30/535][135844] Loss_D: -0.019988 Loss_G: 0.010282 Loss_D_real: -0.009194 Loss_D_fake 0.010793
[1317/5000][35/535][135845] Loss_D: -0.020955 Loss_G: 0.001891 Loss_D_real: -0.001967 Loss_D_fake 0.018988
[1317/5000][40/535][135846] Loss_D: -0.020054 Loss_G: 0.019854 Loss_D_real: -0.012618 Loss_D_fake 0.007437
[1317/5000][45/535][135847] Loss_D: -0.020277 Loss_G: 0.001058 Loss_D_real: -0.008154 Loss_D_fake 0.012123
[1317/5000][50/535][135848] Loss_D: -0.019274 Loss_G: 0.011805 Loss_D_real: -0.012374 Loss_D_fake 0.006900
[1317/5000][55/535][135849] Loss_D: -0.019081 Loss_G: -0.009366 Loss_D_real: -0.006717 Loss_D_fake 0.012363
[1317/5000][60/535][135850] Loss_D: -0.019290 Loss_G: 0.010935 Loss_D_real: -0.017374 Loss_D_fake 0.001915
[1317/5000][65/535][135851] Loss_D: -0.019024 Loss_G: 0.018455 Loss_D_real: -0.015209 Loss_D_fake 0.003814
[1317/5000][70/535][135852] Loss_D: -0.018892 Loss_G: 0.012271 Loss_D_real: -0.027165 Loss_D_fake -0.008274
[1317/5000][75/535][135853] Loss_D: -0.019524 Loss_G: 0.003193 Loss_D_real: 0.001762 Loss_D_fake 0.021286
[1317/5000][80/535][135854] Loss_D: -0.019174 Loss_G: 0.008586 Loss_D_real: -0.024609 Loss_D_fake -0.005436
[1317/5000][85/535][135855] Loss_D: -0.020385 Loss_G: -0.003423 Loss_D_real: -0.004470 Loss_D_fake 0.015916
[1317/5000][90/535][135856] Loss_D: -0.019407 Loss_G: 0.013146 Loss_D_real: -0.021856 Loss_D_fake -0.002450
[1317/5000][95/535][135857] Loss_D: -0.018876 Loss_G: -0.004660 Loss_D_real: -0.005186 Loss_D_fake 0.013690
[1317/5000][100/535][135858] Loss_D: -0.020642 Loss_G: 0.007015 Loss_D_real: -0.015159 Loss_D_fake 0.005483
[1317/5000][105/535][135859] Loss_D: -0.019050 Loss_G: 0.022824 Loss_D_real: -0.028385 Loss_D_fake -0.009335
[1317/5000][110/535][135860] Loss_D: -0.020949 Loss_G: 0.001847 Loss_D_real: -0.020952 Loss_D_fake -0.000003
[1317/5000][115/535][135861] Loss_D: -0.020021 Loss_G: 0.009617 Loss_D_real: -0.014531 Loss_D_fake 0.005490
[1317/5000][120/535][135862] Loss_D: -0.019388 Loss_G: -0.013282 Loss_D_real: -0.005122 Loss_D_fake 0.014267
[1317/5000][125/535][135863] Loss_D: -0.020110 Loss_G: 0.019792 Loss_D_real: -0.014486 Loss_D_fake 0.005623
[1317/5000][130/535][135864] Loss_D: -0.019238 Loss_G: -0.011537 Loss_D_real: -0.002883 Loss_D_fake 0.016354
[1317/5000][135/535][135865] Loss_D: -0.019478 Loss_G: -0.004977 Loss_D_real: -0.005642 Loss_D_fake 0.013835
[1317/5000][140/535][135866] Loss_D: -0.020181 Loss_G: 0.022552 Loss_D_real: -0.008444 Loss_D_fake 0.011737
[1317/5000][145/535][135867] Loss_D: -0.018921 Loss_G: 0.023624 Loss_D_real: -0.024659 Loss_D_fake -0.005738
[1317/5000][150/535][135868] Loss_D: -0.020472 Loss_G: 0.015328 Loss_D_real: -0.024700 Loss_D_fake -0.004229
[1317/5000][155/535][135869] Loss_D: -0.019490 Loss_G: 0.010834 Loss_D_real: -0.007650 Loss_D_fake 0.011840
[1317/5000][160/535][135870] Loss_D: -0.020284 Loss_G: 0.004017 Loss_D_real: -0.021800 Loss_D_fake -0.001516
[1317/5000][165/535][135871] Loss_D: -0.020375 Loss_G: 0.021072 Loss_D_real: -0.023076 Loss_D_fake -0.002702
[1317/5000][170/535][135872] Loss_D: -0.020794 Loss_G: 0.011320 Loss_D_real: -0.010086 Loss_D_fake 0.010708
[1317/5000][175/535][135873] Loss_D: -0.020809 Loss_G: 0.010395 Loss_D_real: -0.021988 Loss_D_fake -0.001179
[1317/5000][180/535][135874] Loss_D: -0.020098 Loss_G: 0.006837 Loss_D_real: -0.011770 Loss_D_fake 0.008328
[1317/5000][185/535][135875] Loss_D: -0.020716 Loss_G: 0.015547 Loss_D_real: -0.010377 Loss_D_fake 0.010339
[1317/5000][190/535][135876] Loss_D: -0.021090 Loss_G: -0.012289 Loss_D_real: -0.012534 Loss_D_fake 0.008556
[1317/5000][195/535][135877] Loss_D: -0.020929 Loss_G: 0.017603 Loss_D_real: -0.008023 Loss_D_fake 0.012906
[1317/5000][200/535][135878] Loss_D: -0.020006 Loss_G: 0.012494 Loss_D_real: -0.034036 Loss_D_fake -0.014031
[1317/5000][205/535][135879] Loss_D: -0.019826 Loss_G: 0.014130 Loss_D_real: -0.026690 Loss_D_fake -0.006864
[1317/5000][210/535][135880] Loss_D: -0.017741 Loss_G: 0.017270 Loss_D_real: -0.024127 Loss_D_fake -0.006386
[1317/5000][215/535][135881] Loss_D: -0.020078 Loss_G: -0.007172 Loss_D_real: -0.005272 Loss_D_fake 0.014807
[1317/5000][220/535][135882] Loss_D: -0.020016 Loss_G: 0.011240 Loss_D_real: -0.017174 Loss_D_fake 0.002843
[1317/5000][225/535][135883] Loss_D: -0.020728 Loss_G: -0.001980 Loss_D_real: -0.014016 Loss_D_fake 0.006712
[1317/5000][230/535][135884] Loss_D: -0.020279 Loss_G: 0.014608 Loss_D_real: -0.014696 Loss_D_fake 0.005584
[1317/5000][235/535][135885] Loss_D: -0.020275 Loss_G: 0.019858 Loss_D_real: -0.009421 Loss_D_fake 0.010854
[1317/5000][240/535][135886] Loss_D: -0.017535 Loss_G: 0.023487 Loss_D_real: -0.035015 Loss_D_fake -0.017480
[1317/5000][245/535][135887] Loss_D: -0.020537 Loss_G: -0.006958 Loss_D_real: -0.006701 Loss_D_fake 0.013835
[1317/5000][250/535][135888] Loss_D: -0.019703 Loss_G: 0.013737 Loss_D_real: -0.022037 Loss_D_fake -0.002334
[1317/5000][255/535][135889] Loss_D: -0.019416 Loss_G: -0.004475 Loss_D_real: -0.004307 Loss_D_fake 0.015108
[1317/5000][260/535][135890] Loss_D: -0.020610 Loss_G: 0.012289 Loss_D_real: -0.014531 Loss_D_fake 0.006078
[1317/5000][265/535][135891] Loss_D: -0.019856 Loss_G: 0.000746 Loss_D_real: -0.013320 Loss_D_fake 0.006536
[1317/5000][270/535][135892] Loss_D: -0.021375 Loss_G: 0.016702 Loss_D_real: -0.009107 Loss_D_fake 0.012268
[1317/5000][275/535][135893] Loss_D: -0.018725 Loss_G: -0.016421 Loss_D_real: -0.008766 Loss_D_fake 0.009960
[1317/5000][280/535][135894] Loss_D: -0.020445 Loss_G: 0.023828 Loss_D_real: -0.015043 Loss_D_fake 0.005403
[1317/5000][285/535][135895] Loss_D: -0.019309 Loss_G: -0.015151 Loss_D_real: -0.005020 Loss_D_fake 0.014288
[1317/5000][290/535][135896] Loss_D: -0.020121 Loss_G: 0.015985 Loss_D_real: -0.004552 Loss_D_fake 0.015569
[1317/5000][295/535][135897] Loss_D: -0.019795 Loss_G: 0.011996 Loss_D_real: -0.005764 Loss_D_fake 0.014031
[1317/5000][300/535][135898] Loss_D: -0.019496 Loss_G: 0.002466 Loss_D_real: -0.011993 Loss_D_fake 0.007503
[1317/5000][305/535][135899] Loss_D: -0.019934 Loss_G: 0.013195 Loss_D_real: -0.006993 Loss_D_fake 0.012941
[1317/5000][310/535][135900] Loss_D: -0.017388 Loss_G: 0.022455 Loss_D_real: -0.018140 Loss_D_fake -0.000752
[1317/5000][315/535][135901] Loss_D: -0.018983 Loss_G: -0.010757 Loss_D_real: 0.001864 Loss_D_fake 0.020847
[1317/5000][320/535][135902] Loss_D: -0.019691 Loss_G: 0.017445 Loss_D_real: -0.012542 Loss_D_fake 0.007149
[1317/5000][325/535][135903] Loss_D: -0.020166 Loss_G: 0.012343 Loss_D_real: -0.012591 Loss_D_fake 0.007575
[1317/5000][330/535][135904] Loss_D: -0.019942 Loss_G: -0.002802 Loss_D_real: -0.021341 Loss_D_fake -0.001399
[1317/5000][335/535][135905] Loss_D: -0.021485 Loss_G: 0.013244 Loss_D_real: -0.017523 Loss_D_fake 0.003962
[1317/5000][340/535][135906] Loss_D: -0.020590 Loss_G: 0.016136 Loss_D_real: -0.019789 Loss_D_fake 0.000801
[1317/5000][345/535][135907] Loss_D: -0.019236 Loss_G: 0.002349 Loss_D_real: -0.011344 Loss_D_fake 0.007892
[1317/5000][350/535][135908] Loss_D: -0.019383 Loss_G: 0.025212 Loss_D_real: -0.018842 Loss_D_fake 0.000541
[1317/5000][355/535][135909] Loss_D: -0.020965 Loss_G: -0.009207 Loss_D_real: -0.006156 Loss_D_fake 0.014809
[1317/5000][360/535][135910] Loss_D: -0.016677 Loss_G: -0.015510 Loss_D_real: 0.003101 Loss_D_fake 0.019778
[1317/5000][365/535][135911] Loss_D: -0.019203 Loss_G: 0.023684 Loss_D_real: -0.029446 Loss_D_fake -0.010244
[1317/5000][370/535][135912] Loss_D: -0.019288 Loss_G: 0.018711 Loss_D_real: -0.016191 Loss_D_fake 0.003096
[1317/5000][375/535][135913] Loss_D: -0.019160 Loss_G: 0.004524 Loss_D_real: -0.013506 Loss_D_fake 0.005654
[1317/5000][380/535][135914] Loss_D: -0.018490 Loss_G: 0.028048 Loss_D_real: -0.012824 Loss_D_fake 0.005666
[1317/5000][385/535][135915] Loss_D: -0.019215 Loss_G: 0.026527 Loss_D_real: -0.016231 Loss_D_fake 0.002984
[1317/5000][390/535][135916] Loss_D: -0.020212 Loss_G: -0.007420 Loss_D_real: -0.011329 Loss_D_fake 0.008883
[1317/5000][395/535][135917] Loss_D: -0.018381 Loss_G: 0.013524 Loss_D_real: -0.038464 Loss_D_fake -0.020083
[1317/5000][400/535][135918] Loss_D: -0.020012 Loss_G: 0.024206 Loss_D_real: -0.018332 Loss_D_fake 0.001681
[1317/5000][405/535][135919] Loss_D: -0.018411 Loss_G: 0.017670 Loss_D_real: -0.016416 Loss_D_fake 0.001995
[1317/5000][410/535][135920] Loss_D: -0.019183 Loss_G: 0.000279 Loss_D_real: -0.007432 Loss_D_fake 0.011752
[1317/5000][415/535][135921] Loss_D: -0.020369 Loss_G: 0.001827 Loss_D_real: -0.019960 Loss_D_fake 0.000409
[1317/5000][420/535][135922] Loss_D: -0.017875 Loss_G: 0.036675 Loss_D_real: -0.034876 Loss_D_fake -0.017001
[1317/5000][425/535][135923] Loss_D: -0.020778 Loss_G: -0.001499 Loss_D_real: 0.000899 Loss_D_fake 0.021677
[1317/5000][430/535][135924] Loss_D: -0.019136 Loss_G: 0.033886 Loss_D_real: -0.027840 Loss_D_fake -0.008704
[1317/5000][435/535][135925] Loss_D: -0.019984 Loss_G: 0.014091 Loss_D_real: -0.005093 Loss_D_fake 0.014891
[1317/5000][440/535][135926] Loss_D: -0.019296 Loss_G: 0.020707 Loss_D_real: -0.025040 Loss_D_fake -0.005744
[1317/5000][445/535][135927] Loss_D: -0.019363 Loss_G: 0.008504 Loss_D_real: -0.018770 Loss_D_fake 0.000594
[1317/5000][450/535][135928] Loss_D: -0.020555 Loss_G: 0.004693 Loss_D_real: -0.016937 Loss_D_fake 0.003618
[1317/5000][455/535][135929] Loss_D: -0.019959 Loss_G: 0.017736 Loss_D_real: -0.014957 Loss_D_fake 0.005003
[1317/5000][460/535][135930] Loss_D: -0.020660 Loss_G: 0.011099 Loss_D_real: -0.010521 Loss_D_fake 0.010138
[1317/5000][465/535][135931] Loss_D: -0.019591 Loss_G: 0.014253 Loss_D_real: -0.006892 Loss_D_fake 0.012699
[1317/5000][470/535][135932] Loss_D: -0.017694 Loss_G: -0.008816 Loss_D_real: 0.001188 Loss_D_fake 0.018882
[1317/5000][475/535][135933] Loss_D: -0.020120 Loss_G: 0.021438 Loss_D_real: -0.026158 Loss_D_fake -0.006038
[1317/5000][480/535][135934] Loss_D: -0.019892 Loss_G: 0.009020 Loss_D_real: -0.021288 Loss_D_fake -0.001396
[1317/5000][485/535][135935] Loss_D: -0.019924 Loss_G: 0.000391 Loss_D_real: -0.002756 Loss_D_fake 0.017168
[1317/5000][490/535][135936] Loss_D: -0.020525 Loss_G: 0.017235 Loss_D_real: -0.012102 Loss_D_fake 0.008423
[1317/5000][495/535][135937] Loss_D: -0.021033 Loss_G: 0.010846 Loss_D_real: -0.010747 Loss_D_fake 0.010286
[1317/5000][500/535][135938] Loss_D: -0.019783 Loss_G: 0.008408 Loss_D_real: -0.011011 Loss_D_fake 0.008771
[1317/5000][505/535][135939] Loss_D: -0.020247 Loss_G: 0.005470 Loss_D_real: -0.022266 Loss_D_fake -0.002019
[1317/5000][510/535][135940] Loss_D: -0.020348 Loss_G: 0.021190 Loss_D_real: -0.017409 Loss_D_fake 0.002938
[1317/5000][515/535][135941] Loss_D: -0.019277 Loss_G: -0.002811 Loss_D_real: -0.013262 Loss_D_fake 0.006015
[1317/5000][520/535][135942] Loss_D: -0.018653 Loss_G: 0.011239 Loss_D_real: -0.018089 Loss_D_fake 0.000564
[1317/5000][525/535][135943] Loss_D: -0.019771 Loss_G: 0.017288 Loss_D_real: -0.018939 Loss_D_fake 0.000832
[1317/5000][530/535][135944] Loss_D: -0.019506 Loss_G: 0.008717 Loss_D_real: -0.015402 Loss_D_fake 0.004103
[1317/5000][535/535][135945] Loss_D: -0.023363 Loss_G: 0.023301 Loss_D_real: -0.003502 Loss_D_fake 0.019862
[1318/5000][5/535][135946] Loss_D: -0.018988 Loss_G: -0.000167 Loss_D_real: -0.005475 Loss_D_fake 0.013513
[1318/5000][10/535][135947] Loss_D: -0.020027 Loss_G: -0.011502 Loss_D_real: -0.006661 Loss_D_fake 0.013367
[1318/5000][15/535][135948] Loss_D: -0.020040 Loss_G: 0.014589 Loss_D_real: -0.031845 Loss_D_fake -0.011805
[1318/5000][20/535][135949] Loss_D: -0.021209 Loss_G: 0.002145 Loss_D_real: -0.001047 Loss_D_fake 0.020162
[1318/5000][25/535][135950] Loss_D: -0.019823 Loss_G: 0.013042 Loss_D_real: -0.021018 Loss_D_fake -0.001195
[1318/5000][30/535][135951] Loss_D: -0.019240 Loss_G: 0.017941 Loss_D_real: -0.027980 Loss_D_fake -0.008740
[1318/5000][35/535][135952] Loss_D: -0.019832 Loss_G: 0.016316 Loss_D_real: -0.006904 Loss_D_fake 0.012928
[1318/5000][40/535][135953] Loss_D: -0.021332 Loss_G: 0.018797 Loss_D_real: -0.011634 Loss_D_fake 0.009698
[1318/5000][45/535][135954] Loss_D: -0.019814 Loss_G: -0.011573 Loss_D_real: 0.004560 Loss_D_fake 0.024374
[1318/5000][50/535][135955] Loss_D: -0.018761 Loss_G: 0.012446 Loss_D_real: -0.016560 Loss_D_fake 0.002201
[1318/5000][55/535][135956] Loss_D: -0.019121 Loss_G: 0.026809 Loss_D_real: -0.025372 Loss_D_fake -0.006251
[1318/5000][60/535][135957] Loss_D: -0.017728 Loss_G: 0.015630 Loss_D_real: -0.040919 Loss_D_fake -0.023191
[1318/5000][65/535][135958] Loss_D: -0.019329 Loss_G: -0.009196 Loss_D_real: -0.001027 Loss_D_fake 0.018303
[1318/5000][70/535][135959] Loss_D: -0.020573 Loss_G: 0.022761 Loss_D_real: -0.013238 Loss_D_fake 0.007336
[1318/5000][75/535][135960] Loss_D: -0.019798 Loss_G: 0.013287 Loss_D_real: -0.031413 Loss_D_fake -0.011615
[1318/5000][80/535][135961] Loss_D: -0.020121 Loss_G: 0.009275 Loss_D_real: -0.023097 Loss_D_fake -0.002976
[1318/5000][85/535][135962] Loss_D: -0.020099 Loss_G: 0.016913 Loss_D_real: -0.023822 Loss_D_fake -0.003723
[1318/5000][90/535][135963] Loss_D: -0.017792 Loss_G: 0.011962 Loss_D_real: -0.015133 Loss_D_fake 0.002660
[1318/5000][95/535][135964] Loss_D: -0.020155 Loss_G: 0.023403 Loss_D_real: -0.025439 Loss_D_fake -0.005284
[1318/5000][100/535][135965] Loss_D: -0.019383 Loss_G: 0.014055 Loss_D_real: -0.014398 Loss_D_fake 0.004985
[1318/5000][105/535][135966] Loss_D: -0.019795 Loss_G: 0.020200 Loss_D_real: -0.018348 Loss_D_fake 0.001447
[1318/5000][110/535][135967] Loss_D: -0.018194 Loss_G: 0.002745 Loss_D_real: -0.006512 Loss_D_fake 0.011682
[1318/5000][115/535][135968] Loss_D: -0.020459 Loss_G: -0.006917 Loss_D_real: -0.011200 Loss_D_fake 0.009259
[1318/5000][120/535][135969] Loss_D: -0.019493 Loss_G: -0.009222 Loss_D_real: -0.002766 Loss_D_fake 0.016727
[1318/5000][125/535][135970] Loss_D: -0.020220 Loss_G: -0.004053 Loss_D_real: 0.000636 Loss_D_fake 0.020856
[1318/5000][130/535][135971] Loss_D: -0.019559 Loss_G: 0.010257 Loss_D_real: -0.020766 Loss_D_fake -0.001207
[1318/5000][135/535][135972] Loss_D: -0.019576 Loss_G: 0.006512 Loss_D_real: -0.018214 Loss_D_fake 0.001362
[1318/5000][140/535][135973] Loss_D: -0.018308 Loss_G: 0.028855 Loss_D_real: -0.025359 Loss_D_fake -0.007050
[1318/5000][145/535][135974] Loss_D: -0.020710 Loss_G: 0.012295 Loss_D_real: -0.011156 Loss_D_fake 0.009554
[1318/5000][150/535][135975] Loss_D: -0.020227 Loss_G: 0.014518 Loss_D_real: -0.000974 Loss_D_fake 0.019254
[1318/5000][155/535][135976] Loss_D: -0.019886 Loss_G: 0.013212 Loss_D_real: -0.020582 Loss_D_fake -0.000696
[1318/5000][160/535][135977] Loss_D: -0.019790 Loss_G: 0.001940 Loss_D_real: -0.011673 Loss_D_fake 0.008117
[1318/5000][165/535][135978] Loss_D: -0.018903 Loss_G: 0.028622 Loss_D_real: -0.024239 Loss_D_fake -0.005337
[1318/5000][170/535][135979] Loss_D: -0.019852 Loss_G: 0.010008 Loss_D_real: -0.031961 Loss_D_fake -0.012109
[1318/5000][175/535][135980] Loss_D: -0.020123 Loss_G: 0.015180 Loss_D_real: -0.020506 Loss_D_fake -0.000383
[1318/5000][180/535][135981] Loss_D: -0.020303 Loss_G: 0.010893 Loss_D_real: -0.009460 Loss_D_fake 0.010843
[1318/5000][185/535][135982] Loss_D: -0.020063 Loss_G: 0.002226 Loss_D_real: -0.006614 Loss_D_fake 0.013449
[1318/5000][190/535][135983] Loss_D: -0.018493 Loss_G: 0.001150 Loss_D_real: -0.026738 Loss_D_fake -0.008245
[1318/5000][195/535][135984] Loss_D: -0.020495 Loss_G: 0.009365 Loss_D_real: -0.012425 Loss_D_fake 0.008070
[1318/5000][200/535][135985] Loss_D: -0.020568 Loss_G: 0.016124 Loss_D_real: -0.017116 Loss_D_fake 0.003452
[1318/5000][205/535][135986] Loss_D: -0.020517 Loss_G: -0.000382 Loss_D_real: -0.008894 Loss_D_fake 0.011623
[1318/5000][210/535][135987] Loss_D: -0.020914 Loss_G: 0.006844 Loss_D_real: -0.009940 Loss_D_fake 0.010974
[1318/5000][215/535][135988] Loss_D: -0.020067 Loss_G: 0.006089 Loss_D_real: -0.011209 Loss_D_fake 0.008857
[1318/5000][220/535][135989] Loss_D: -0.020353 Loss_G: 0.024941 Loss_D_real: -0.018015 Loss_D_fake 0.002338
[1318/5000][225/535][135990] Loss_D: -0.020131 Loss_G: -0.010207 Loss_D_real: -0.007379 Loss_D_fake 0.012752
[1318/5000][230/535][135991] Loss_D: -0.019155 Loss_G: 0.004470 Loss_D_real: -0.012235 Loss_D_fake 0.006920
[1318/5000][235/535][135992] Loss_D: -0.018076 Loss_G: 0.000686 Loss_D_real: -0.011208 Loss_D_fake 0.006868
[1318/5000][240/535][135993] Loss_D: -0.017717 Loss_G: 0.028285 Loss_D_real: -0.019727 Loss_D_fake -0.002010
[1318/5000][245/535][135994] Loss_D: -0.018117 Loss_G: 0.000533 Loss_D_real: -0.014386 Loss_D_fake 0.003731
[1318/5000][250/535][135995] Loss_D: -0.021324 Loss_G: 0.005522 Loss_D_real: -0.000023 Loss_D_fake 0.021301
[1318/5000][255/535][135996] Loss_D: -0.020204 Loss_G: 0.024902 Loss_D_real: -0.018320 Loss_D_fake 0.001884
[1318/5000][260/535][135997] Loss_D: -0.020253 Loss_G: 0.008224 Loss_D_real: -0.020930 Loss_D_fake -0.000677
[1318/5000][265/535][135998] Loss_D: -0.021080 Loss_G: -0.002245 Loss_D_real: -0.012308 Loss_D_fake 0.008773
[1318/5000][270/535][135999] Loss_D: -0.020491 Loss_G: -0.002748 Loss_D_real: -0.013060 Loss_D_fake 0.007431
[1318/5000][275/535][136000] Loss_D: -0.019949 Loss_G: 0.002051 Loss_D_real: -0.007082 Loss_D_fake 0.012867
[1318/5000][375/535][136001] Loss_D: -0.023918 Loss_G: 0.001158 Loss_D_real: -0.023193 Loss_D_fake 0.000725
[1318/5000][380/535][136002] Loss_D: -0.023324 Loss_G: 0.005678 Loss_D_real: -0.012494 Loss_D_fake 0.010830
[1318/5000][385/535][136003] Loss_D: -0.020220 Loss_G: 0.003687 Loss_D_real: -0.019111 Loss_D_fake 0.001108
[1318/5000][390/535][136004] Loss_D: -0.017839 Loss_G: 0.015196 Loss_D_real: -0.014621 Loss_D_fake 0.003219
[1318/5000][395/535][136005] Loss_D: -0.018576 Loss_G: 0.008318 Loss_D_real: -0.010478 Loss_D_fake 0.008097
[1318/5000][400/535][136006] Loss_D: -0.018892 Loss_G: 0.010876 Loss_D_real: -0.012024 Loss_D_fake 0.006868
[1318/5000][405/535][136007] Loss_D: -0.019251 Loss_G: -0.001997 Loss_D_real: -0.005163 Loss_D_fake 0.014088
[1318/5000][410/535][136008] Loss_D: -0.018219 Loss_G: 0.000968 Loss_D_real: -0.008652 Loss_D_fake 0.009567
[1318/5000][415/535][136009] Loss_D: -0.018918 Loss_G: 0.013210 Loss_D_real: -0.012546 Loss_D_fake 0.006372
[1318/5000][420/535][136010] Loss_D: -0.018552 Loss_G: -0.008124 Loss_D_real: 0.006770 Loss_D_fake 0.025322
[1318/5000][425/535][136011] Loss_D: -0.017982 Loss_G: 0.018379 Loss_D_real: -0.017574 Loss_D_fake 0.000409
[1318/5000][430/535][136012] Loss_D: -0.019177 Loss_G: 0.006676 Loss_D_real: -0.021363 Loss_D_fake -0.002187
[1318/5000][435/535][136013] Loss_D: -0.020149 Loss_G: 0.001803 Loss_D_real: 0.001991 Loss_D_fake 0.022140
[1318/5000][440/535][136014] Loss_D: -0.018432 Loss_G: 0.007154 Loss_D_real: -0.009846 Loss_D_fake 0.008586
[1318/5000][445/535][136015] Loss_D: -0.020650 Loss_G: -0.008498 Loss_D_real: -0.018977 Loss_D_fake 0.001673
[1318/5000][450/535][136016] Loss_D: -0.019372 Loss_G: 0.016837 Loss_D_real: -0.020726 Loss_D_fake -0.001354
[1318/5000][455/535][136017] Loss_D: -0.020073 Loss_G: 0.012991 Loss_D_real: -0.018951 Loss_D_fake 0.001122
[1318/5000][460/535][136018] Loss_D: -0.018702 Loss_G: 0.014747 Loss_D_real: -0.012140 Loss_D_fake 0.006563
[1318/5000][465/535][136019] Loss_D: -0.019108 Loss_G: 0.003092 Loss_D_real: -0.003922 Loss_D_fake 0.015185
[1318/5000][470/535][136020] Loss_D: -0.018500 Loss_G: 0.013728 Loss_D_real: -0.012071 Loss_D_fake 0.006429
[1318/5000][475/535][136021] Loss_D: -0.018151 Loss_G: 0.018178 Loss_D_real: -0.007428 Loss_D_fake 0.010723
[1318/5000][480/535][136022] Loss_D: -0.020350 Loss_G: -0.005303 Loss_D_real: -0.011297 Loss_D_fake 0.009052
[1318/5000][485/535][136023] Loss_D: -0.018601 Loss_G: 0.008252 Loss_D_real: -0.024601 Loss_D_fake -0.006001
[1318/5000][490/535][136024] Loss_D: -0.018247 Loss_G: 0.023151 Loss_D_real: -0.025015 Loss_D_fake -0.006769
[1318/5000][495/535][136025] Loss_D: -0.020036 Loss_G: 0.005492 Loss_D_real: -0.011246 Loss_D_fake 0.008790
[1318/5000][500/535][136026] Loss_D: -0.018673 Loss_G: 0.020649 Loss_D_real: -0.026940 Loss_D_fake -0.008266
[1318/5000][505/535][136027] Loss_D: -0.019451 Loss_G: 0.023770 Loss_D_real: -0.036444 Loss_D_fake -0.016993
[1318/5000][510/535][136028] Loss_D: -0.019411 Loss_G: 0.001557 Loss_D_real: 0.005600 Loss_D_fake 0.025011
[1318/5000][515/535][136029] Loss_D: -0.019146 Loss_G: 0.012709 Loss_D_real: -0.017380 Loss_D_fake 0.001766
[1318/5000][520/535][136030] Loss_D: -0.020331 Loss_G: 0.001390 Loss_D_real: -0.006825 Loss_D_fake 0.013507
[1318/5000][525/535][136031] Loss_D: -0.018982 Loss_G: 0.023303 Loss_D_real: -0.027428 Loss_D_fake -0.008447
[1318/5000][530/535][136032] Loss_D: -0.019652 Loss_G: 0.002276 Loss_D_real: -0.007369 Loss_D_fake 0.012283
[1318/5000][535/535][136033] Loss_D: -0.021815 Loss_G: -0.015529 Loss_D_real: -0.010431 Loss_D_fake 0.011385
[1319/5000][5/535][136034] Loss_D: -0.019750 Loss_G: 0.005292 Loss_D_real: -0.001565 Loss_D_fake 0.018185
[1319/5000][10/535][136035] Loss_D: -0.018808 Loss_G: 0.002564 Loss_D_real: -0.019164 Loss_D_fake -0.000355
[1319/5000][15/535][136036] Loss_D: -0.020276 Loss_G: -0.009525 Loss_D_real: -0.006681 Loss_D_fake 0.013595
[1319/5000][20/535][136037] Loss_D: -0.020705 Loss_G: 0.003777 Loss_D_real: -0.014878 Loss_D_fake 0.005827
[1319/5000][25/535][136038] Loss_D: -0.019547 Loss_G: 0.023224 Loss_D_real: -0.017894 Loss_D_fake 0.001654
[1319/5000][30/535][136039] Loss_D: -0.019246 Loss_G: 0.014814 Loss_D_real: -0.012690 Loss_D_fake 0.006556
[1319/5000][35/535][136040] Loss_D: -0.018100 Loss_G: 0.021946 Loss_D_real: -0.021976 Loss_D_fake -0.003876
[1319/5000][40/535][136041] Loss_D: -0.018722 Loss_G: -0.010194 Loss_D_real: 0.004539 Loss_D_fake 0.023260
[1319/5000][45/535][136042] Loss_D: -0.019505 Loss_G: -0.000082 Loss_D_real: -0.019402 Loss_D_fake 0.000103
[1319/5000][50/535][136043] Loss_D: -0.019866 Loss_G: -0.009148 Loss_D_real: -0.001928 Loss_D_fake 0.017937
[1319/5000][55/535][136044] Loss_D: -0.019340 Loss_G: -0.001717 Loss_D_real: -0.004178 Loss_D_fake 0.015162
[1319/5000][60/535][136045] Loss_D: -0.020161 Loss_G: 0.008222 Loss_D_real: -0.012819 Loss_D_fake 0.007342
[1319/5000][65/535][136046] Loss_D: -0.019944 Loss_G: -0.007269 Loss_D_real: -0.004635 Loss_D_fake 0.015309
[1319/5000][70/535][136047] Loss_D: -0.018038 Loss_G: 0.013790 Loss_D_real: -0.013063 Loss_D_fake 0.004974
[1319/5000][75/535][136048] Loss_D: -0.018658 Loss_G: 0.022740 Loss_D_real: -0.018822 Loss_D_fake -0.000165
[1319/5000][80/535][136049] Loss_D: -0.019157 Loss_G: 0.006698 Loss_D_real: -0.015302 Loss_D_fake 0.003855
[1319/5000][85/535][136050] Loss_D: -0.019890 Loss_G: 0.016135 Loss_D_real: -0.017013 Loss_D_fake 0.002878
[1319/5000][90/535][136051] Loss_D: -0.017410 Loss_G: 0.028286 Loss_D_real: -0.029629 Loss_D_fake -0.012219
[1319/5000][95/535][136052] Loss_D: -0.018877 Loss_G: 0.005869 Loss_D_real: -0.008705 Loss_D_fake 0.010172
[1319/5000][100/535][136053] Loss_D: -0.019433 Loss_G: 0.008335 Loss_D_real: -0.013029 Loss_D_fake 0.006404
[1319/5000][105/535][136054] Loss_D: -0.019565 Loss_G: 0.000871 Loss_D_real: -0.006796 Loss_D_fake 0.012769
[1319/5000][110/535][136055] Loss_D: -0.019910 Loss_G: 0.015845 Loss_D_real: -0.017482 Loss_D_fake 0.002428
[1319/5000][115/535][136056] Loss_D: -0.018970 Loss_G: 0.017232 Loss_D_real: -0.025242 Loss_D_fake -0.006272
[1319/5000][120/535][136057] Loss_D: -0.020864 Loss_G: -0.010544 Loss_D_real: -0.000156 Loss_D_fake 0.020708
[1319/5000][125/535][136058] Loss_D: -0.019738 Loss_G: 0.017505 Loss_D_real: -0.015652 Loss_D_fake 0.004086
[1319/5000][130/535][136059] Loss_D: -0.020080 Loss_G: 0.012396 Loss_D_real: -0.017019 Loss_D_fake 0.003062
[1319/5000][135/535][136060] Loss_D: -0.019285 Loss_G: -0.002404 Loss_D_real: -0.003739 Loss_D_fake 0.015546
[1319/5000][140/535][136061] Loss_D: -0.019812 Loss_G: 0.005822 Loss_D_real: -0.009874 Loss_D_fake 0.009938
[1319/5000][145/535][136062] Loss_D: -0.020625 Loss_G: -0.000114 Loss_D_real: -0.016853 Loss_D_fake 0.003772
[1319/5000][150/535][136063] Loss_D: -0.019470 Loss_G: 0.020925 Loss_D_real: -0.023378 Loss_D_fake -0.003908
[1319/5000][155/535][136064] Loss_D: -0.021168 Loss_G: 0.013215 Loss_D_real: -0.020941 Loss_D_fake 0.000227
[1319/5000][160/535][136065] Loss_D: -0.019541 Loss_G: 0.023765 Loss_D_real: -0.020510 Loss_D_fake -0.000969
[1319/5000][165/535][136066] Loss_D: -0.019629 Loss_G: -0.011481 Loss_D_real: -0.009248 Loss_D_fake 0.010381
[1319/5000][170/535][136067] Loss_D: -0.021941 Loss_G: 0.001526 Loss_D_real: -0.018659 Loss_D_fake 0.003282
[1319/5000][175/535][136068] Loss_D: -0.020292 Loss_G: 0.004488 Loss_D_real: -0.029521 Loss_D_fake -0.009229
[1319/5000][180/535][136069] Loss_D: -0.019867 Loss_G: 0.021493 Loss_D_real: -0.021646 Loss_D_fake -0.001779
[1319/5000][185/535][136070] Loss_D: -0.019187 Loss_G: 0.012547 Loss_D_real: -0.014929 Loss_D_fake 0.004259
[1319/5000][190/535][136071] Loss_D: -0.020277 Loss_G: 0.010520 Loss_D_real: -0.019945 Loss_D_fake 0.000331
[1319/5000][195/535][136072] Loss_D: -0.018290 Loss_G: -0.017815 Loss_D_real: 0.000275 Loss_D_fake 0.018565
[1319/5000][200/535][136073] Loss_D: -0.021038 Loss_G: 0.008512 Loss_D_real: -0.013691 Loss_D_fake 0.007347
[1319/5000][205/535][136074] Loss_D: -0.018378 Loss_G: 0.020452 Loss_D_real: -0.017847 Loss_D_fake 0.000531
[1319/5000][210/535][136075] Loss_D: -0.018301 Loss_G: -0.009381 Loss_D_real: 0.008783 Loss_D_fake 0.027084
[1319/5000][215/535][136076] Loss_D: -0.020323 Loss_G: 0.008830 Loss_D_real: -0.013046 Loss_D_fake 0.007276
[1319/5000][220/535][136077] Loss_D: -0.020504 Loss_G: 0.001099 Loss_D_real: -0.022525 Loss_D_fake -0.002021
[1319/5000][225/535][136078] Loss_D: -0.019073 Loss_G: -0.002383 Loss_D_real: -0.010661 Loss_D_fake 0.008411
[1319/5000][230/535][136079] Loss_D: -0.020351 Loss_G: 0.009120 Loss_D_real: -0.018839 Loss_D_fake 0.001511
[1319/5000][235/535][136080] Loss_D: -0.020356 Loss_G: 0.014265 Loss_D_real: -0.023297 Loss_D_fake -0.002941
[1319/5000][240/535][136081] Loss_D: -0.020405 Loss_G: 0.002091 Loss_D_real: -0.006037 Loss_D_fake 0.014368
[1319/5000][245/535][136082] Loss_D: -0.020165 Loss_G: -0.004730 Loss_D_real: -0.012220 Loss_D_fake 0.007945
[1319/5000][250/535][136083] Loss_D: -0.020255 Loss_G: 0.010569 Loss_D_real: -0.010352 Loss_D_fake 0.009903
[1319/5000][255/535][136084] Loss_D: -0.021332 Loss_G: 0.006212 Loss_D_real: -0.006099 Loss_D_fake 0.015233
[1319/5000][260/535][136085] Loss_D: -0.020320 Loss_G: 0.007959 Loss_D_real: -0.004380 Loss_D_fake 0.015940
[1319/5000][265/535][136086] Loss_D: -0.019080 Loss_G: 0.012697 Loss_D_real: -0.019651 Loss_D_fake -0.000571
[1319/5000][270/535][136087] Loss_D: -0.019447 Loss_G: 0.015405 Loss_D_real: -0.017368 Loss_D_fake 0.002079
[1319/5000][275/535][136088] Loss_D: -0.020177 Loss_G: 0.005392 Loss_D_real: -0.015775 Loss_D_fake 0.004401
[1319/5000][280/535][136089] Loss_D: -0.019662 Loss_G: 0.021049 Loss_D_real: -0.023588 Loss_D_fake -0.003926
[1319/5000][285/535][136090] Loss_D: -0.021009 Loss_G: -0.009857 Loss_D_real: -0.010324 Loss_D_fake 0.010685
[1319/5000][290/535][136091] Loss_D: -0.017325 Loss_G: 0.023480 Loss_D_real: -0.024964 Loss_D_fake -0.007638
[1319/5000][295/535][136092] Loss_D: -0.019031 Loss_G: 0.012043 Loss_D_real: -0.021551 Loss_D_fake -0.002520
[1319/5000][300/535][136093] Loss_D: -0.019683 Loss_G: 0.010112 Loss_D_real: -0.014414 Loss_D_fake 0.005269
[1319/5000][305/535][136094] Loss_D: -0.017704 Loss_G: 0.033413 Loss_D_real: -0.025654 Loss_D_fake -0.007951
[1319/5000][310/535][136095] Loss_D: -0.018189 Loss_G: -0.020413 Loss_D_real: -0.000030 Loss_D_fake 0.018159
[1319/5000][315/535][136096] Loss_D: -0.019336 Loss_G: -0.010669 Loss_D_real: 0.007020 Loss_D_fake 0.026357
[1319/5000][320/535][136097] Loss_D: -0.018905 Loss_G: 0.003987 Loss_D_real: -0.013322 Loss_D_fake 0.005583
[1319/5000][325/535][136098] Loss_D: -0.019604 Loss_G: 0.005123 Loss_D_real: -0.025998 Loss_D_fake -0.006395
[1319/5000][330/535][136099] Loss_D: -0.020693 Loss_G: 0.017521 Loss_D_real: -0.013289 Loss_D_fake 0.007404
[1319/5000][335/535][136100] Loss_D: -0.019168 Loss_G: -0.000149 Loss_D_real: -0.002084 Loss_D_fake 0.017084
[1319/5000][340/535][136101] Loss_D: -0.020176 Loss_G: 0.007191 Loss_D_real: -0.021162 Loss_D_fake -0.000986
[1319/5000][345/535][136102] Loss_D: -0.020396 Loss_G: 0.017223 Loss_D_real: -0.011764 Loss_D_fake 0.008631
[1319/5000][350/535][136103] Loss_D: -0.020220 Loss_G: 0.001865 Loss_D_real: -0.013218 Loss_D_fake 0.007002
[1319/5000][355/535][136104] Loss_D: -0.019017 Loss_G: 0.030767 Loss_D_real: -0.024954 Loss_D_fake -0.005936
[1319/5000][360/535][136105] Loss_D: -0.018221 Loss_G: 0.031001 Loss_D_real: -0.029783 Loss_D_fake -0.011562
[1319/5000][365/535][136106] Loss_D: -0.020566 Loss_G: 0.001623 Loss_D_real: -0.025552 Loss_D_fake -0.004986
[1319/5000][370/535][136107] Loss_D: -0.018240 Loss_G: 0.013954 Loss_D_real: -0.022676 Loss_D_fake -0.004436
[1319/5000][375/535][136108] Loss_D: -0.019329 Loss_G: -0.007872 Loss_D_real: -0.014648 Loss_D_fake 0.004681
[1319/5000][380/535][136109] Loss_D: -0.019993 Loss_G: -0.004950 Loss_D_real: -0.005398 Loss_D_fake 0.014596
[1319/5000][385/535][136110] Loss_D: -0.020435 Loss_G: 0.014350 Loss_D_real: -0.015862 Loss_D_fake 0.004573
[1319/5000][390/535][136111] Loss_D: -0.019885 Loss_G: 0.011942 Loss_D_real: -0.016780 Loss_D_fake 0.003105
[1319/5000][395/535][136112] Loss_D: -0.021067 Loss_G: 0.019838 Loss_D_real: -0.028692 Loss_D_fake -0.007625
[1319/5000][400/535][136113] Loss_D: -0.021789 Loss_G: 0.020373 Loss_D_real: -0.023220 Loss_D_fake -0.001430
[1319/5000][405/535][136114] Loss_D: -0.019936 Loss_G: -0.008789 Loss_D_real: -0.000786 Loss_D_fake 0.019150
[1319/5000][410/535][136115] Loss_D: -0.018672 Loss_G: 0.020643 Loss_D_real: -0.017030 Loss_D_fake 0.001641
[1319/5000][415/535][136116] Loss_D: -0.020281 Loss_G: -0.002672 Loss_D_real: -0.003418 Loss_D_fake 0.016863
[1319/5000][420/535][136117] Loss_D: -0.020593 Loss_G: 0.001031 Loss_D_real: -0.020539 Loss_D_fake 0.000054
[1319/5000][425/535][136118] Loss_D: -0.018626 Loss_G: 0.026642 Loss_D_real: -0.036662 Loss_D_fake -0.018036
[1319/5000][430/535][136119] Loss_D: -0.020776 Loss_G: 0.015725 Loss_D_real: -0.018817 Loss_D_fake 0.001959
[1319/5000][435/535][136120] Loss_D: -0.020290 Loss_G: 0.012289 Loss_D_real: -0.016475 Loss_D_fake 0.003815
[1319/5000][440/535][136121] Loss_D: -0.020784 Loss_G: 0.002126 Loss_D_real: -0.021921 Loss_D_fake -0.001137
[1319/5000][445/535][136122] Loss_D: -0.019178 Loss_G: 0.020112 Loss_D_real: -0.012318 Loss_D_fake 0.006860
[1319/5000][450/535][136123] Loss_D: -0.019585 Loss_G: 0.010750 Loss_D_real: -0.022152 Loss_D_fake -0.002566
[1319/5000][455/535][136124] Loss_D: -0.018603 Loss_G: -0.007112 Loss_D_real: 0.009017 Loss_D_fake 0.027620
[1319/5000][460/535][136125] Loss_D: -0.020122 Loss_G: 0.007153 Loss_D_real: -0.011485 Loss_D_fake 0.008637
[1319/5000][465/535][136126] Loss_D: -0.020070 Loss_G: 0.003743 Loss_D_real: -0.002472 Loss_D_fake 0.017598
[1319/5000][470/535][136127] Loss_D: -0.019334 Loss_G: -0.001967 Loss_D_real: -0.004335 Loss_D_fake 0.015000
[1319/5000][475/535][136128] Loss_D: -0.020668 Loss_G: 0.024520 Loss_D_real: -0.018334 Loss_D_fake 0.002334
[1319/5000][480/535][136129] Loss_D: -0.018560 Loss_G: 0.010896 Loss_D_real: -0.018791 Loss_D_fake -0.000231
[1319/5000][485/535][136130] Loss_D: -0.018857 Loss_G: 0.011331 Loss_D_real: -0.008190 Loss_D_fake 0.010667
[1319/5000][490/535][136131] Loss_D: -0.019710 Loss_G: 0.018880 Loss_D_real: -0.025408 Loss_D_fake -0.005697
[1319/5000][495/535][136132] Loss_D: -0.020596 Loss_G: 0.002853 Loss_D_real: -0.023499 Loss_D_fake -0.002903
[1319/5000][500/535][136133] Loss_D: -0.019717 Loss_G: 0.020206 Loss_D_real: -0.018801 Loss_D_fake 0.000915
[1319/5000][505/535][136134] Loss_D: -0.020752 Loss_G: -0.002553 Loss_D_real: -0.020175 Loss_D_fake 0.000577
[1319/5000][510/535][136135] Loss_D: -0.020221 Loss_G: 0.018507 Loss_D_real: -0.010842 Loss_D_fake 0.009379
[1319/5000][515/535][136136] Loss_D: -0.021426 Loss_G: 0.040182 Loss_D_real: -0.015580 Loss_D_fake 0.005846
[1319/5000][520/535][136137] Loss_D: -0.020966 Loss_G: -0.014916 Loss_D_real: -0.015351 Loss_D_fake 0.005615
[1319/5000][525/535][136138] Loss_D: -0.019441 Loss_G: 0.017154 Loss_D_real: -0.018058 Loss_D_fake 0.001383
[1319/5000][530/535][136139] Loss_D: -0.021032 Loss_G: 0.003797 Loss_D_real: -0.009970 Loss_D_fake 0.011062
[1319/5000][535/535][136140] Loss_D: -0.020996 Loss_G: 0.055714 Loss_D_real: -0.013509 Loss_D_fake 0.007488
[1320/5000][5/535][136141] Loss_D: -0.018759 Loss_G: 0.004916 Loss_D_real: -0.018427 Loss_D_fake 0.000332
[1320/5000][10/535][136142] Loss_D: -0.020763 Loss_G: 0.007635 Loss_D_real: -0.021371 Loss_D_fake -0.000608
[1320/5000][15/535][136143] Loss_D: -0.019599 Loss_G: 0.021221 Loss_D_real: -0.022019 Loss_D_fake -0.002420
[1320/5000][20/535][136144] Loss_D: -0.019487 Loss_G: 0.010447 Loss_D_real: -0.018658 Loss_D_fake 0.000830
[1320/5000][25/535][136145] Loss_D: -0.021885 Loss_G: -0.010433 Loss_D_real: -0.012264 Loss_D_fake 0.009621
[1320/5000][30/535][136146] Loss_D: -0.020199 Loss_G: 0.019838 Loss_D_real: -0.014498 Loss_D_fake 0.005701
[1320/5000][35/535][136147] Loss_D: -0.021662 Loss_G: 0.002363 Loss_D_real: -0.010597 Loss_D_fake 0.011066
[1320/5000][40/535][136148] Loss_D: -0.020753 Loss_G: 0.021521 Loss_D_real: -0.018547 Loss_D_fake 0.002206
[1320/5000][45/535][136149] Loss_D: -0.020120 Loss_G: 0.006258 Loss_D_real: -0.010927 Loss_D_fake 0.009193
[1320/5000][50/535][136150] Loss_D: -0.019910 Loss_G: 0.009155 Loss_D_real: -0.009231 Loss_D_fake 0.010679
[1320/5000][55/535][136151] Loss_D: -0.020438 Loss_G: 0.004676 Loss_D_real: -0.000087 Loss_D_fake 0.020351
[1320/5000][60/535][136152] Loss_D: -0.018712 Loss_G: 0.018663 Loss_D_real: -0.026709 Loss_D_fake -0.007997
[1320/5000][65/535][136153] Loss_D: -0.018885 Loss_G: -0.015070 Loss_D_real: -0.007446 Loss_D_fake 0.011439
[1320/5000][70/535][136154] Loss_D: -0.018456 Loss_G: 0.004263 Loss_D_real: -0.012977 Loss_D_fake 0.005479
[1320/5000][75/535][136155] Loss_D: -0.019264 Loss_G: 0.029724 Loss_D_real: -0.019531 Loss_D_fake -0.000266
[1320/5000][80/535][136156] Loss_D: -0.019912 Loss_G: -0.001083 Loss_D_real: -0.016747 Loss_D_fake 0.003165
[1320/5000][85/535][136157] Loss_D: -0.018637 Loss_G: 0.004200 Loss_D_real: -0.009813 Loss_D_fake 0.008825
[1320/5000][90/535][136158] Loss_D: -0.018459 Loss_G: 0.001546 Loss_D_real: -0.015036 Loss_D_fake 0.003423
[1320/5000][95/535][136159] Loss_D: -0.019711 Loss_G: 0.032437 Loss_D_real: -0.026532 Loss_D_fake -0.006821
[1320/5000][100/535][136160] Loss_D: -0.020198 Loss_G: 0.004829 Loss_D_real: -0.006622 Loss_D_fake 0.013576
[1320/5000][105/535][136161] Loss_D: -0.019443 Loss_G: -0.004782 Loss_D_real: -0.004481 Loss_D_fake 0.014962
[1320/5000][110/535][136162] Loss_D: -0.019789 Loss_G: 0.018270 Loss_D_real: -0.020930 Loss_D_fake -0.001141
[1320/5000][115/535][136163] Loss_D: -0.019609 Loss_G: -0.005875 Loss_D_real: -0.012242 Loss_D_fake 0.007367
[1320/5000][120/535][136164] Loss_D: -0.020121 Loss_G: 0.008743 Loss_D_real: -0.022958 Loss_D_fake -0.002836
[1320/5000][125/535][136165] Loss_D: -0.020428 Loss_G: 0.011478 Loss_D_real: -0.009568 Loss_D_fake 0.010860
[1320/5000][130/535][136166] Loss_D: -0.020931 Loss_G: 0.001674 Loss_D_real: 0.003649 Loss_D_fake 0.024580
[1320/5000][135/535][136167] Loss_D: -0.019883 Loss_G: 0.019021 Loss_D_real: -0.007118 Loss_D_fake 0.012764
[1320/5000][140/535][136168] Loss_D: -0.019351 Loss_G: -0.009440 Loss_D_real: -0.007407 Loss_D_fake 0.011945
[1320/5000][145/535][136169] Loss_D: -0.020283 Loss_G: 0.003655 Loss_D_real: -0.009364 Loss_D_fake 0.010919
[1320/5000][150/535][136170] Loss_D: -0.019297 Loss_G: -0.004850 Loss_D_real: -0.020648 Loss_D_fake -0.001352
[1320/5000][155/535][136171] Loss_D: -0.018937 Loss_G: 0.023885 Loss_D_real: -0.021386 Loss_D_fake -0.002449
[1320/5000][160/535][136172] Loss_D: -0.019967 Loss_G: 0.010961 Loss_D_real: -0.010782 Loss_D_fake 0.009185
[1320/5000][165/535][136173] Loss_D: -0.020729 Loss_G: 0.010449 Loss_D_real: -0.016701 Loss_D_fake 0.004028
[1320/5000][170/535][136174] Loss_D: -0.019289 Loss_G: 0.016700 Loss_D_real: -0.014560 Loss_D_fake 0.004729
[1320/5000][175/535][136175] Loss_D: -0.020922 Loss_G: 0.005860 Loss_D_real: -0.010764 Loss_D_fake 0.010158
[1320/5000][180/535][136176] Loss_D: -0.018707 Loss_G: 0.012857 Loss_D_real: -0.028653 Loss_D_fake -0.009946
[1320/5000][185/535][136177] Loss_D: -0.019479 Loss_G: 0.010581 Loss_D_real: -0.025761 Loss_D_fake -0.006283
[1320/5000][190/535][136178] Loss_D: -0.020938 Loss_G: 0.011118 Loss_D_real: -0.011475 Loss_D_fake 0.009463
[1320/5000][195/535][136179] Loss_D: -0.018728 Loss_G: 0.027568 Loss_D_real: -0.018249 Loss_D_fake 0.000479
[1320/5000][200/535][136180] Loss_D: -0.020215 Loss_G: 0.009747 Loss_D_real: -0.014336 Loss_D_fake 0.005879
[1320/5000][205/535][136181] Loss_D: -0.018689 Loss_G: -0.020751 Loss_D_real: -0.002766 Loss_D_fake 0.015923
[1320/5000][210/535][136182] Loss_D: -0.019672 Loss_G: 0.009518 Loss_D_real: -0.025437 Loss_D_fake -0.005765
[1320/5000][215/535][136183] Loss_D: -0.019975 Loss_G: 0.018889 Loss_D_real: -0.022659 Loss_D_fake -0.002684
[1320/5000][220/535][136184] Loss_D: -0.020538 Loss_G: 0.017394 Loss_D_real: -0.021077 Loss_D_fake -0.000540
[1320/5000][225/535][136185] Loss_D: -0.019338 Loss_G: 0.006010 Loss_D_real: -0.008489 Loss_D_fake 0.010849
[1320/5000][230/535][136186] Loss_D: -0.019838 Loss_G: 0.014063 Loss_D_real: -0.028728 Loss_D_fake -0.008890
[1320/5000][235/535][136187] Loss_D: -0.019809 Loss_G: 0.017223 Loss_D_real: -0.016739 Loss_D_fake 0.003070
[1320/5000][240/535][136188] Loss_D: -0.021562 Loss_G: 0.003681 Loss_D_real: -0.013430 Loss_D_fake 0.008132
[1320/5000][245/535][136189] Loss_D: -0.021066 Loss_G: 0.010644 Loss_D_real: -0.023662 Loss_D_fake -0.002596
[1320/5000][250/535][136190] Loss_D: -0.020741 Loss_G: 0.017017 Loss_D_real: -0.015066 Loss_D_fake 0.005675
[1320/5000][255/535][136191] Loss_D: -0.020014 Loss_G: 0.000800 Loss_D_real: -0.008821 Loss_D_fake 0.011193
[1320/5000][260/535][136192] Loss_D: -0.019466 Loss_G: 0.012891 Loss_D_real: -0.010446 Loss_D_fake 0.009020
[1320/5000][265/535][136193] Loss_D: -0.019674 Loss_G: -0.010414 Loss_D_real: -0.007495 Loss_D_fake 0.012179
[1320/5000][270/535][136194] Loss_D: -0.019219 Loss_G: 0.005249 Loss_D_real: -0.014785 Loss_D_fake 0.004434
[1320/5000][275/535][136195] Loss_D: -0.019614 Loss_G: 0.014517 Loss_D_real: -0.013816 Loss_D_fake 0.005798
[1320/5000][280/535][136196] Loss_D: -0.019978 Loss_G: 0.004315 Loss_D_real: -0.010194 Loss_D_fake 0.009784
[1320/5000][285/535][136197] Loss_D: -0.020206 Loss_G: 0.014738 Loss_D_real: -0.009661 Loss_D_fake 0.010545
[1320/5000][290/535][136198] Loss_D: -0.018794 Loss_G: 0.016383 Loss_D_real: -0.024813 Loss_D_fake -0.006018
[1320/5000][295/535][136199] Loss_D: -0.018283 Loss_G: 0.018626 Loss_D_real: -0.017442 Loss_D_fake 0.000841
[1320/5000][300/535][136200] Loss_D: -0.018665 Loss_G: 0.021227 Loss_D_real: -0.025781 Loss_D_fake -0.007115
[1320/5000][305/535][136201] Loss_D: -0.018175 Loss_G: 0.005002 Loss_D_real: -0.010431 Loss_D_fake 0.007745
[1320/5000][310/535][136202] Loss_D: -0.020206 Loss_G: 0.006862 Loss_D_real: -0.014557 Loss_D_fake 0.005649
[1320/5000][315/535][136203] Loss_D: -0.017028 Loss_G: 0.026202 Loss_D_real: -0.035596 Loss_D_fake -0.018568
[1320/5000][320/535][136204] Loss_D: -0.017907 Loss_G: -0.005990 Loss_D_real: 0.002272 Loss_D_fake 0.020178
[1320/5000][325/535][136205] Loss_D: -0.018665 Loss_G: 0.022893 Loss_D_real: -0.035020 Loss_D_fake -0.016355
[1320/5000][330/535][136206] Loss_D: -0.019317 Loss_G: 0.013367 Loss_D_real: -0.019945 Loss_D_fake -0.000628
[1320/5000][335/535][136207] Loss_D: -0.019697 Loss_G: 0.013602 Loss_D_real: -0.027605 Loss_D_fake -0.007908
[1320/5000][340/535][136208] Loss_D: -0.019802 Loss_G: -0.007091 Loss_D_real: -0.004376 Loss_D_fake 0.015426
[1320/5000][345/535][136209] Loss_D: -0.018677 Loss_G: 0.025244 Loss_D_real: -0.019724 Loss_D_fake -0.001047
[1320/5000][350/535][136210] Loss_D: -0.018797 Loss_G: -0.000272 Loss_D_real: -0.003633 Loss_D_fake 0.015165
[1320/5000][355/535][136211] Loss_D: -0.019125 Loss_G: 0.017619 Loss_D_real: -0.028087 Loss_D_fake -0.008962
[1320/5000][360/535][136212] Loss_D: -0.019537 Loss_G: 0.012998 Loss_D_real: -0.009660 Loss_D_fake 0.009877
[1320/5000][365/535][136213] Loss_D: -0.017908 Loss_G: 0.018729 Loss_D_real: -0.029059 Loss_D_fake -0.011151
[1320/5000][370/535][136214] Loss_D: -0.018312 Loss_G: 0.015541 Loss_D_real: -0.015000 Loss_D_fake 0.003312
[1320/5000][375/535][136215] Loss_D: -0.017732 Loss_G: 0.024469 Loss_D_real: -0.015646 Loss_D_fake 0.002086
[1320/5000][380/535][136216] Loss_D: -0.018818 Loss_G: 0.013325 Loss_D_real: -0.024717 Loss_D_fake -0.005899
[1320/5000][385/535][136217] Loss_D: -0.020849 Loss_G: -0.004248 Loss_D_real: -0.014213 Loss_D_fake 0.006636
[1320/5000][390/535][136218] Loss_D: -0.019960 Loss_G: 0.009668 Loss_D_real: -0.011900 Loss_D_fake 0.008060
[1320/5000][395/535][136219] Loss_D: -0.019251 Loss_G: 0.029775 Loss_D_real: -0.030123 Loss_D_fake -0.010872
[1320/5000][400/535][136220] Loss_D: -0.020704 Loss_G: -0.004207 Loss_D_real: -0.018576 Loss_D_fake 0.002129
[1320/5000][405/535][136221] Loss_D: -0.018521 Loss_G: 0.007402 Loss_D_real: -0.008635 Loss_D_fake 0.009886
[1320/5000][410/535][136222] Loss_D: -0.020334 Loss_G: 0.022693 Loss_D_real: -0.010122 Loss_D_fake 0.010212
[1320/5000][415/535][136223] Loss_D: -0.019093 Loss_G: -0.000883 Loss_D_real: -0.004086 Loss_D_fake 0.015007
[1320/5000][420/535][136224] Loss_D: -0.019729 Loss_G: 0.033437 Loss_D_real: -0.025666 Loss_D_fake -0.005937
[1320/5000][425/535][136225] Loss_D: -0.021034 Loss_G: 0.001241 Loss_D_real: -0.019748 Loss_D_fake 0.001286
[1320/5000][430/535][136226] Loss_D: -0.020215 Loss_G: 0.031668 Loss_D_real: -0.015956 Loss_D_fake 0.004259
[1320/5000][435/535][136227] Loss_D: -0.019978 Loss_G: 0.018182 Loss_D_real: -0.041663 Loss_D_fake -0.021685
[1320/5000][440/535][136228] Loss_D: -0.018605 Loss_G: -0.009724 Loss_D_real: 0.000107 Loss_D_fake 0.018713
[1320/5000][445/535][136229] Loss_D: -0.021024 Loss_G: 0.012130 Loss_D_real: 0.002564 Loss_D_fake 0.023588
[1320/5000][450/535][136230] Loss_D: -0.020013 Loss_G: 0.008661 Loss_D_real: -0.018212 Loss_D_fake 0.001801
[1320/5000][455/535][136231] Loss_D: -0.019366 Loss_G: 0.012334 Loss_D_real: -0.012969 Loss_D_fake 0.006397
[1320/5000][460/535][136232] Loss_D: -0.021047 Loss_G: 0.002512 Loss_D_real: -0.019492 Loss_D_fake 0.001556
[1320/5000][465/535][136233] Loss_D: -0.020708 Loss_G: -0.015966 Loss_D_real: -0.004859 Loss_D_fake 0.015849
[1320/5000][470/535][136234] Loss_D: -0.017749 Loss_G: 0.028926 Loss_D_real: -0.030192 Loss_D_fake -0.012444
[1320/5000][475/535][136235] Loss_D: -0.020984 Loss_G: -0.002015 Loss_D_real: -0.008392 Loss_D_fake 0.012592
[1320/5000][480/535][136236] Loss_D: -0.021062 Loss_G: 0.014552 Loss_D_real: -0.012807 Loss_D_fake 0.008255
[1320/5000][485/535][136237] Loss_D: -0.019506 Loss_G: -0.006666 Loss_D_real: -0.003547 Loss_D_fake 0.015960
[1320/5000][490/535][136238] Loss_D: -0.020244 Loss_G: -0.005249 Loss_D_real: -0.009377 Loss_D_fake 0.010867
[1320/5000][495/535][136239] Loss_D: -0.020484 Loss_G: 0.006241 Loss_D_real: -0.024977 Loss_D_fake -0.004493
[1320/5000][500/535][136240] Loss_D: -0.020683 Loss_G: 0.017706 Loss_D_real: 0.001910 Loss_D_fake 0.022593
[1320/5000][505/535][136241] Loss_D: -0.022921 Loss_G: 0.010738 Loss_D_real: -0.021718 Loss_D_fake 0.001203
[1320/5000][510/535][136242] Loss_D: -0.020279 Loss_G: 0.013518 Loss_D_real: -0.016538 Loss_D_fake 0.003741
[1320/5000][515/535][136243] Loss_D: -0.018276 Loss_G: 0.021914 Loss_D_real: -0.034689 Loss_D_fake -0.016413
[1320/5000][520/535][136244] Loss_D: -0.019279 Loss_G: -0.014482 Loss_D_real: -0.004387 Loss_D_fake 0.014891
[1320/5000][525/535][136245] Loss_D: -0.019656 Loss_G: -0.003893 Loss_D_real: -0.016422 Loss_D_fake 0.003234
[1320/5000][530/535][136246] Loss_D: -0.019743 Loss_G: 0.018724 Loss_D_real: -0.024773 Loss_D_fake -0.005029
[1320/5000][535/535][136247] Loss_D: -0.022133 Loss_G: -0.027979 Loss_D_real: -0.010688 Loss_D_fake 0.011445
[1321/5000][5/535][136248] Loss_D: -0.019231 Loss_G: 0.012241 Loss_D_real: -0.014063 Loss_D_fake 0.005168
[1321/5000][10/535][136249] Loss_D: -0.019618 Loss_G: 0.004714 Loss_D_real: -0.001952 Loss_D_fake 0.017666
[1321/5000][15/535][136250] Loss_D: -0.019027 Loss_G: 0.007949 Loss_D_real: -0.019086 Loss_D_fake -0.000059
[1321/5000][20/535][136251] Loss_D: -0.018818 Loss_G: 0.000542 Loss_D_real: -0.001318 Loss_D_fake 0.017500
[1321/5000][25/535][136252] Loss_D: -0.020342 Loss_G: 0.005973 Loss_D_real: -0.005855 Loss_D_fake 0.014486
[1321/5000][30/535][136253] Loss_D: -0.019728 Loss_G: 0.020599 Loss_D_real: -0.014306 Loss_D_fake 0.005423
[1321/5000][35/535][136254] Loss_D: -0.020081 Loss_G: -0.018344 Loss_D_real: -0.000237 Loss_D_fake 0.019844
[1321/5000][40/535][136255] Loss_D: -0.020000 Loss_G: 0.009450 Loss_D_real: -0.015012 Loss_D_fake 0.004988
[1321/5000][45/535][136256] Loss_D: -0.019872 Loss_G: -0.002882 Loss_D_real: -0.004800 Loss_D_fake 0.015072
[1321/5000][50/535][136257] Loss_D: -0.019619 Loss_G: 0.015799 Loss_D_real: -0.021747 Loss_D_fake -0.002128
[1321/5000][55/535][136258] Loss_D: -0.019227 Loss_G: 0.006125 Loss_D_real: -0.031654 Loss_D_fake -0.012428
[1321/5000][60/535][136259] Loss_D: -0.020472 Loss_G: 0.008166 Loss_D_real: -0.020911 Loss_D_fake -0.000439
[1321/5000][65/535][136260] Loss_D: -0.020588 Loss_G: 0.006819 Loss_D_real: 0.005708 Loss_D_fake 0.026296
[1321/5000][70/535][136261] Loss_D: -0.020133 Loss_G: -0.000331 Loss_D_real: -0.006520 Loss_D_fake 0.013614
[1321/5000][75/535][136262] Loss_D: -0.018683 Loss_G: 0.022228 Loss_D_real: -0.039563 Loss_D_fake -0.020879
[1321/5000][80/535][136263] Loss_D: -0.020252 Loss_G: 0.017002 Loss_D_real: -0.026525 Loss_D_fake -0.006273
[1321/5000][85/535][136264] Loss_D: -0.019782 Loss_G: 0.007161 Loss_D_real: -0.012310 Loss_D_fake 0.007472
[1321/5000][90/535][136265] Loss_D: -0.020552 Loss_G: 0.019074 Loss_D_real: -0.013612 Loss_D_fake 0.006940
[1321/5000][95/535][136266] Loss_D: -0.019779 Loss_G: -0.003473 Loss_D_real: -0.008435 Loss_D_fake 0.011344
[1321/5000][100/535][136267] Loss_D: -0.019433 Loss_G: 0.003131 Loss_D_real: -0.026501 Loss_D_fake -0.007068
[1321/5000][105/535][136268] Loss_D: -0.020309 Loss_G: 0.009695 Loss_D_real: -0.014633 Loss_D_fake 0.005677
[1321/5000][110/535][136269] Loss_D: -0.020721 Loss_G: 0.026228 Loss_D_real: -0.019217 Loss_D_fake 0.001504
[1321/5000][115/535][136270] Loss_D: -0.019938 Loss_G: 0.021190 Loss_D_real: -0.024303 Loss_D_fake -0.004365
[1321/5000][120/535][136271] Loss_D: -0.019756 Loss_G: -0.004046 Loss_D_real: -0.013670 Loss_D_fake 0.006085
[1321/5000][125/535][136272] Loss_D: -0.019316 Loss_G: -0.008678 Loss_D_real: 0.000067 Loss_D_fake 0.019383
[1321/5000][130/535][136273] Loss_D: -0.018778 Loss_G: -0.000355 Loss_D_real: -0.003443 Loss_D_fake 0.015335
[1321/5000][135/535][136274] Loss_D: -0.019685 Loss_G: 0.011441 Loss_D_real: -0.005880 Loss_D_fake 0.013805
[1321/5000][140/535][136275] Loss_D: -0.019874 Loss_G: 0.014441 Loss_D_real: -0.017776 Loss_D_fake 0.002098
[1321/5000][145/535][136276] Loss_D: -0.019723 Loss_G: 0.005218 Loss_D_real: -0.007605 Loss_D_fake 0.012118
[1321/5000][150/535][136277] Loss_D: -0.019139 Loss_G: 0.012396 Loss_D_real: -0.015625 Loss_D_fake 0.003515
[1321/5000][155/535][136278] Loss_D: -0.020714 Loss_G: 0.023815 Loss_D_real: -0.015031 Loss_D_fake 0.005684
[1321/5000][160/535][136279] Loss_D: -0.020485 Loss_G: 0.009952 Loss_D_real: -0.019450 Loss_D_fake 0.001036
[1321/5000][165/535][136280] Loss_D: -0.019417 Loss_G: 0.001674 Loss_D_real: -0.000626 Loss_D_fake 0.018792
[1321/5000][170/535][136281] Loss_D: -0.018952 Loss_G: 0.019392 Loss_D_real: -0.031390 Loss_D_fake -0.012438
[1321/5000][175/535][136282] Loss_D: -0.019376 Loss_G: 0.024240 Loss_D_real: -0.027629 Loss_D_fake -0.008252
[1321/5000][180/535][136283] Loss_D: -0.021325 Loss_G: 0.009099 Loss_D_real: -0.003496 Loss_D_fake 0.017828
[1321/5000][185/535][136284] Loss_D: -0.018974 Loss_G: 0.029177 Loss_D_real: -0.015258 Loss_D_fake 0.003715
[1321/5000][190/535][136285] Loss_D: -0.019108 Loss_G: 0.005763 Loss_D_real: -0.012326 Loss_D_fake 0.006783
[1321/5000][195/535][136286] Loss_D: -0.019677 Loss_G: 0.000722 Loss_D_real: -0.005514 Loss_D_fake 0.014162
[1321/5000][200/535][136287] Loss_D: -0.019720 Loss_G: 0.018765 Loss_D_real: -0.021803 Loss_D_fake -0.002083
[1321/5000][205/535][136288] Loss_D: -0.019983 Loss_G: -0.002827 Loss_D_real: -0.007876 Loss_D_fake 0.012108
[1321/5000][210/535][136289] Loss_D: -0.019067 Loss_G: -0.009630 Loss_D_real: -0.005500 Loss_D_fake 0.013567
[1321/5000][215/535][136290] Loss_D: -0.019216 Loss_G: 0.025226 Loss_D_real: -0.024174 Loss_D_fake -0.004958
[1321/5000][220/535][136291] Loss_D: -0.020426 Loss_G: 0.010809 Loss_D_real: -0.013540 Loss_D_fake 0.006886
[1321/5000][225/535][136292] Loss_D: -0.020760 Loss_G: -0.001855 Loss_D_real: -0.001276 Loss_D_fake 0.019485
[1321/5000][230/535][136293] Loss_D: -0.021043 Loss_G: 0.001327 Loss_D_real: -0.005185 Loss_D_fake 0.015858
[1321/5000][235/535][136294] Loss_D: -0.020168 Loss_G: 0.011925 Loss_D_real: -0.022448 Loss_D_fake -0.002280
[1321/5000][240/535][136295] Loss_D: -0.019779 Loss_G: 0.003993 Loss_D_real: -0.013908 Loss_D_fake 0.005871
[1321/5000][245/535][136296] Loss_D: -0.017612 Loss_G: 0.025247 Loss_D_real: -0.033400 Loss_D_fake -0.015788
[1321/5000][250/535][136297] Loss_D: -0.020214 Loss_G: 0.011422 Loss_D_real: -0.019394 Loss_D_fake 0.000819
[1321/5000][255/535][136298] Loss_D: -0.019747 Loss_G: 0.010529 Loss_D_real: -0.003637 Loss_D_fake 0.016111
[1321/5000][260/535][136299] Loss_D: -0.020304 Loss_G: -0.004261 Loss_D_real: -0.004237 Loss_D_fake 0.016067
[1321/5000][265/535][136300] Loss_D: -0.019130 Loss_G: 0.013994 Loss_D_real: -0.022309 Loss_D_fake -0.003179
[1321/5000][270/535][136301] Loss_D: -0.020129 Loss_G: -0.009999 Loss_D_real: -0.010604 Loss_D_fake 0.009525
[1321/5000][275/535][136302] Loss_D: -0.019415 Loss_G: 0.013328 Loss_D_real: -0.014835 Loss_D_fake 0.004579
[1321/5000][280/535][136303] Loss_D: -0.019810 Loss_G: 0.009392 Loss_D_real: -0.024055 Loss_D_fake -0.004245
[1321/5000][285/535][136304] Loss_D: -0.019207 Loss_G: 0.012472 Loss_D_real: -0.015525 Loss_D_fake 0.003681
[1321/5000][290/535][136305] Loss_D: -0.020001 Loss_G: 0.002453 Loss_D_real: -0.010989 Loss_D_fake 0.009012
[1321/5000][295/535][136306] Loss_D: -0.019095 Loss_G: 0.026246 Loss_D_real: -0.029128 Loss_D_fake -0.010033
[1321/5000][300/535][136307] Loss_D: -0.020221 Loss_G: 0.000115 Loss_D_real: -0.009340 Loss_D_fake 0.010881
[1321/5000][305/535][136308] Loss_D: -0.020319 Loss_G: 0.013953 Loss_D_real: -0.004956 Loss_D_fake 0.015364
[1321/5000][310/535][136309] Loss_D: -0.020411 Loss_G: 0.002351 Loss_D_real: 0.001454 Loss_D_fake 0.021865
[1321/5000][315/535][136310] Loss_D: -0.018950 Loss_G: -0.003035 Loss_D_real: -0.011484 Loss_D_fake 0.007466
[1321/5000][320/535][136311] Loss_D: -0.021047 Loss_G: 0.006983 Loss_D_real: -0.010549 Loss_D_fake 0.010498
[1321/5000][325/535][136312] Loss_D: -0.018537 Loss_G: 0.000810 Loss_D_real: -0.011058 Loss_D_fake 0.007479
[1321/5000][330/535][136313] Loss_D: -0.019955 Loss_G: -0.001480 Loss_D_real: -0.014210 Loss_D_fake 0.005745
[1321/5000][335/535][136314] Loss_D: -0.019118 Loss_G: 0.007562 Loss_D_real: -0.008859 Loss_D_fake 0.010258
[1321/5000][340/535][136315] Loss_D: -0.018926 Loss_G: 0.036314 Loss_D_real: -0.029040 Loss_D_fake -0.010114
[1321/5000][345/535][136316] Loss_D: -0.020783 Loss_G: 0.008113 Loss_D_real: -0.021469 Loss_D_fake -0.000686
[1321/5000][350/535][136317] Loss_D: -0.019626 Loss_G: 0.012175 Loss_D_real: -0.020823 Loss_D_fake -0.001197
[1321/5000][355/535][136318] Loss_D: -0.021049 Loss_G: -0.002338 Loss_D_real: -0.016500 Loss_D_fake 0.004548
[1321/5000][360/535][136319] Loss_D: -0.019683 Loss_G: 0.007708 Loss_D_real: -0.014130 Loss_D_fake 0.005553
[1321/5000][365/535][136320] Loss_D: -0.020788 Loss_G: 0.011964 Loss_D_real: -0.012780 Loss_D_fake 0.008008
[1321/5000][370/535][136321] Loss_D: -0.019887 Loss_G: 0.025089 Loss_D_real: -0.008759 Loss_D_fake 0.011129
[1321/5000][375/535][136322] Loss_D: -0.020144 Loss_G: -0.008805 Loss_D_real: -0.007400 Loss_D_fake 0.012744
[1321/5000][380/535][136323] Loss_D: -0.020390 Loss_G: 0.007257 Loss_D_real: -0.006820 Loss_D_fake 0.013570
[1321/5000][385/535][136324] Loss_D: -0.020269 Loss_G: 0.001672 Loss_D_real: -0.017916 Loss_D_fake 0.002353
[1321/5000][390/535][136325] Loss_D: -0.021106 Loss_G: 0.019234 Loss_D_real: -0.012851 Loss_D_fake 0.008255
[1321/5000][395/535][136326] Loss_D: -0.021237 Loss_G: 0.013647 Loss_D_real: -0.006931 Loss_D_fake 0.014305
[1321/5000][400/535][136327] Loss_D: -0.019143 Loss_G: 0.014356 Loss_D_real: -0.026557 Loss_D_fake -0.007414
[1321/5000][405/535][136328] Loss_D: -0.018244 Loss_G: 0.013132 Loss_D_real: -0.036958 Loss_D_fake -0.018713
[1321/5000][410/535][136329] Loss_D: -0.020438 Loss_G: 0.004323 Loss_D_real: -0.009209 Loss_D_fake 0.011229
[1321/5000][415/535][136330] Loss_D: -0.020041 Loss_G: 0.009589 Loss_D_real: -0.009597 Loss_D_fake 0.010443
[1321/5000][420/535][136331] Loss_D: -0.020691 Loss_G: 0.008130 Loss_D_real: -0.020165 Loss_D_fake 0.000525
[1321/5000][425/535][136332] Loss_D: -0.020531 Loss_G: 0.015695 Loss_D_real: -0.006683 Loss_D_fake 0.013848
[1321/5000][430/535][136333] Loss_D: -0.019475 Loss_G: 0.000672 Loss_D_real: -0.014174 Loss_D_fake 0.005301
[1321/5000][435/535][136334] Loss_D: -0.019727 Loss_G: 0.001160 Loss_D_real: -0.022917 Loss_D_fake -0.003190
[1321/5000][440/535][136335] Loss_D: -0.019807 Loss_G: -0.006584 Loss_D_real: 0.013967 Loss_D_fake 0.033773
[1321/5000][445/535][136336] Loss_D: -0.018502 Loss_G: 0.023112 Loss_D_real: -0.019472 Loss_D_fake -0.000970
[1321/5000][450/535][136337] Loss_D: -0.020595 Loss_G: 0.011169 Loss_D_real: -0.006682 Loss_D_fake 0.013913
[1321/5000][455/535][136338] Loss_D: -0.019275 Loss_G: 0.004119 Loss_D_real: -0.009927 Loss_D_fake 0.009348
[1321/5000][460/535][136339] Loss_D: -0.019943 Loss_G: 0.004609 Loss_D_real: -0.002895 Loss_D_fake 0.017048
[1321/5000][465/535][136340] Loss_D: -0.019543 Loss_G: 0.016458 Loss_D_real: -0.005905 Loss_D_fake 0.013638
[1321/5000][470/535][136341] Loss_D: -0.017992 Loss_G: -0.013608 Loss_D_real: 0.008824 Loss_D_fake 0.026815
[1321/5000][475/535][136342] Loss_D: -0.021229 Loss_G: 0.001951 Loss_D_real: -0.021917 Loss_D_fake -0.000688
[1321/5000][480/535][136343] Loss_D: -0.019002 Loss_G: 0.010794 Loss_D_real: -0.012984 Loss_D_fake 0.006018
[1321/5000][485/535][136344] Loss_D: -0.020392 Loss_G: -0.002900 Loss_D_real: -0.013210 Loss_D_fake 0.007182
[1321/5000][490/535][136345] Loss_D: -0.020279 Loss_G: 0.001066 Loss_D_real: -0.004344 Loss_D_fake 0.015935
[1321/5000][495/535][136346] Loss_D: -0.019207 Loss_G: 0.009961 Loss_D_real: -0.021339 Loss_D_fake -0.002132
[1321/5000][500/535][136347] Loss_D: -0.019566 Loss_G: 0.010793 Loss_D_real: -0.015236 Loss_D_fake 0.004330
[1321/5000][505/535][136348] Loss_D: -0.018885 Loss_G: 0.010439 Loss_D_real: -0.004235 Loss_D_fake 0.014650
[1321/5000][510/535][136349] Loss_D: -0.019820 Loss_G: 0.001260 Loss_D_real: -0.010923 Loss_D_fake 0.008896
[1321/5000][515/535][136350] Loss_D: -0.018103 Loss_G: -0.003634 Loss_D_real: 0.001978 Loss_D_fake 0.020081
[1321/5000][520/535][136351] Loss_D: -0.019284 Loss_G: 0.008158 Loss_D_real: -0.009025 Loss_D_fake 0.010259
[1321/5000][525/535][136352] Loss_D: -0.020197 Loss_G: -0.000379 Loss_D_real: -0.010746 Loss_D_fake 0.009451
[1321/5000][530/535][136353] Loss_D: -0.019429 Loss_G: -0.010733 Loss_D_real: -0.001797 Loss_D_fake 0.017632
[1321/5000][535/535][136354] Loss_D: -0.019749 Loss_G: -0.000831 Loss_D_real: -0.020749 Loss_D_fake -0.000999
[1322/5000][5/535][136355] Loss_D: -0.019780 Loss_G: 0.011158 Loss_D_real: -0.011535 Loss_D_fake 0.008245
[1322/5000][10/535][136356] Loss_D: -0.019359 Loss_G: 0.012447 Loss_D_real: -0.014952 Loss_D_fake 0.004407
[1322/5000][15/535][136357] Loss_D: -0.018348 Loss_G: 0.029000 Loss_D_real: -0.024596 Loss_D_fake -0.006248
[1322/5000][20/535][136358] Loss_D: -0.019687 Loss_G: 0.003429 Loss_D_real: -0.015137 Loss_D_fake 0.004550
[1322/5000][25/535][136359] Loss_D: -0.020892 Loss_G: 0.009378 Loss_D_real: -0.008134 Loss_D_fake 0.012758
[1322/5000][30/535][136360] Loss_D: -0.019161 Loss_G: 0.016802 Loss_D_real: -0.032241 Loss_D_fake -0.013081
[1322/5000][35/535][136361] Loss_D: -0.020067 Loss_G: 0.013608 Loss_D_real: -0.018750 Loss_D_fake 0.001317
[1322/5000][40/535][136362] Loss_D: -0.020832 Loss_G: 0.010084 Loss_D_real: -0.020397 Loss_D_fake 0.000434
[1322/5000][45/535][136363] Loss_D: -0.019711 Loss_G: 0.025429 Loss_D_real: -0.024502 Loss_D_fake -0.004791
[1322/5000][50/535][136364] Loss_D: -0.018884 Loss_G: -0.008894 Loss_D_real: -0.004689 Loss_D_fake 0.014194
[1322/5000][55/535][136365] Loss_D: -0.019509 Loss_G: 0.001306 Loss_D_real: -0.012328 Loss_D_fake 0.007180
[1322/5000][60/535][136366] Loss_D: -0.021325 Loss_G: -0.000219 Loss_D_real: -0.002991 Loss_D_fake 0.018333
[1322/5000][65/535][136367] Loss_D: -0.021293 Loss_G: 0.014977 Loss_D_real: -0.013969 Loss_D_fake 0.007324
[1322/5000][70/535][136368] Loss_D: -0.021107 Loss_G: 0.008964 Loss_D_real: -0.023362 Loss_D_fake -0.002255
[1322/5000][75/535][136369] Loss_D: -0.019518 Loss_G: 0.000105 Loss_D_real: -0.016742 Loss_D_fake 0.002775
[1322/5000][80/535][136370] Loss_D: -0.020787 Loss_G: 0.016902 Loss_D_real: -0.008198 Loss_D_fake 0.012588
[1322/5000][85/535][136371] Loss_D: -0.019769 Loss_G: 0.024433 Loss_D_real: -0.021556 Loss_D_fake -0.001787
[1322/5000][90/535][136372] Loss_D: -0.020465 Loss_G: 0.016965 Loss_D_real: -0.015846 Loss_D_fake 0.004619
[1322/5000][95/535][136373] Loss_D: -0.020462 Loss_G: 0.015448 Loss_D_real: -0.019751 Loss_D_fake 0.000711
[1322/5000][100/535][136374] Loss_D: -0.021335 Loss_G: 0.016858 Loss_D_real: -0.021655 Loss_D_fake -0.000319
[1322/5000][105/535][136375] Loss_D: -0.019689 Loss_G: -0.008025 Loss_D_real: -0.003172 Loss_D_fake 0.016517
[1322/5000][110/535][136376] Loss_D: -0.019975 Loss_G: 0.009194 Loss_D_real: -0.013997 Loss_D_fake 0.005978
[1322/5000][115/535][136377] Loss_D: -0.020036 Loss_G: 0.009616 Loss_D_real: -0.038377 Loss_D_fake -0.018341
[1322/5000][120/535][136378] Loss_D: -0.020712 Loss_G: 0.028237 Loss_D_real: -0.022970 Loss_D_fake -0.002258
[1322/5000][125/535][136379] Loss_D: -0.020087 Loss_G: 0.012934 Loss_D_real: -0.004964 Loss_D_fake 0.015124
[1322/5000][130/535][136380] Loss_D: -0.019171 Loss_G: -0.002790 Loss_D_real: -0.012508 Loss_D_fake 0.006664
[1322/5000][135/535][136381] Loss_D: -0.019188 Loss_G: 0.018806 Loss_D_real: -0.016686 Loss_D_fake 0.002502
[1322/5000][140/535][136382] Loss_D: -0.019138 Loss_G: -0.002031 Loss_D_real: -0.012631 Loss_D_fake 0.006507
[1322/5000][145/535][136383] Loss_D: -0.019873 Loss_G: -0.002641 Loss_D_real: -0.002243 Loss_D_fake 0.017630
[1322/5000][150/535][136384] Loss_D: -0.019733 Loss_G: 0.012251 Loss_D_real: -0.027395 Loss_D_fake -0.007662
[1322/5000][155/535][136385] Loss_D: -0.020033 Loss_G: 0.011453 Loss_D_real: -0.008500 Loss_D_fake 0.011533
[1322/5000][160/535][136386] Loss_D: -0.020914 Loss_G: -0.001277 Loss_D_real: -0.016065 Loss_D_fake 0.004849
[1322/5000][165/535][136387] Loss_D: -0.020424 Loss_G: -0.000132 Loss_D_real: -0.015682 Loss_D_fake 0.004742
[1322/5000][170/535][136388] Loss_D: -0.020136 Loss_G: 0.022911 Loss_D_real: -0.017238 Loss_D_fake 0.002898
[1322/5000][175/535][136389] Loss_D: -0.019491 Loss_G: 0.003121 Loss_D_real: -0.014714 Loss_D_fake 0.004778
[1322/5000][180/535][136390] Loss_D: -0.019724 Loss_G: 0.010481 Loss_D_real: -0.019923 Loss_D_fake -0.000199
[1322/5000][185/535][136391] Loss_D: -0.018439 Loss_G: -0.002223 Loss_D_real: -0.010619 Loss_D_fake 0.007820
[1322/5000][190/535][136392] Loss_D: -0.019574 Loss_G: 0.001244 Loss_D_real: -0.004298 Loss_D_fake 0.015276
[1322/5000][195/535][136393] Loss_D: -0.020520 Loss_G: 0.006466 Loss_D_real: -0.010797 Loss_D_fake 0.009722
[1322/5000][200/535][136394] Loss_D: -0.020068 Loss_G: 0.024355 Loss_D_real: -0.028567 Loss_D_fake -0.008499
[1322/5000][205/535][136395] Loss_D: -0.020329 Loss_G: 0.014303 Loss_D_real: -0.023004 Loss_D_fake -0.002675
[1322/5000][210/535][136396] Loss_D: -0.020381 Loss_G: 0.006805 Loss_D_real: -0.024870 Loss_D_fake -0.004489
[1322/5000][215/535][136397] Loss_D: -0.020930 Loss_G: 0.012261 Loss_D_real: -0.017222 Loss_D_fake 0.003708
[1322/5000][220/535][136398] Loss_D: -0.019435 Loss_G: 0.019953 Loss_D_real: -0.029256 Loss_D_fake -0.009821
[1322/5000][225/535][136399] Loss_D: -0.020065 Loss_G: 0.005774 Loss_D_real: -0.029519 Loss_D_fake -0.009454
[1322/5000][230/535][136400] Loss_D: -0.020403 Loss_G: 0.001216 Loss_D_real: 0.005283 Loss_D_fake 0.025686
[1322/5000][235/535][136401] Loss_D: -0.018852 Loss_G: 0.024324 Loss_D_real: -0.031585 Loss_D_fake -0.012733
[1322/5000][240/535][136402] Loss_D: -0.020718 Loss_G: -0.006971 Loss_D_real: -0.008122 Loss_D_fake 0.012596
[1322/5000][245/535][136403] Loss_D: -0.019568 Loss_G: 0.024141 Loss_D_real: -0.019617 Loss_D_fake -0.000049
[1322/5000][250/535][136404] Loss_D: -0.019178 Loss_G: -0.002168 Loss_D_real: -0.001459 Loss_D_fake 0.017720
[1322/5000][255/535][136405] Loss_D: -0.019476 Loss_G: -0.008302 Loss_D_real: -0.009574 Loss_D_fake 0.009902
[1322/5000][260/535][136406] Loss_D: -0.020334 Loss_G: 0.020971 Loss_D_real: -0.013799 Loss_D_fake 0.006535
[1322/5000][265/535][136407] Loss_D: -0.019615 Loss_G: 0.010881 Loss_D_real: -0.023881 Loss_D_fake -0.004266
[1322/5000][270/535][136408] Loss_D: -0.020425 Loss_G: 0.007141 Loss_D_real: 0.003285 Loss_D_fake 0.023710
[1322/5000][275/535][136409] Loss_D: -0.019970 Loss_G: 0.011040 Loss_D_real: -0.006316 Loss_D_fake 0.013654
[1322/5000][280/535][136410] Loss_D: -0.021078 Loss_G: 0.001089 Loss_D_real: -0.021143 Loss_D_fake -0.000065
[1322/5000][285/535][136411] Loss_D: -0.019802 Loss_G: 0.023177 Loss_D_real: -0.028206 Loss_D_fake -0.008404
[1322/5000][290/535][136412] Loss_D: -0.020407 Loss_G: 0.018778 Loss_D_real: -0.025911 Loss_D_fake -0.005505
[1322/5000][295/535][136413] Loss_D: -0.020064 Loss_G: 0.015194 Loss_D_real: -0.012500 Loss_D_fake 0.007564
[1322/5000][300/535][136414] Loss_D: -0.018800 Loss_G: 0.027162 Loss_D_real: -0.025121 Loss_D_fake -0.006321
[1322/5000][305/535][136415] Loss_D: -0.020435 Loss_G: 0.018750 Loss_D_real: -0.023090 Loss_D_fake -0.002655
[1322/5000][310/535][136416] Loss_D: -0.019908 Loss_G: -0.003604 Loss_D_real: 0.007305 Loss_D_fake 0.027213
[1322/5000][315/535][136417] Loss_D: -0.019156 Loss_G: -0.002838 Loss_D_real: -0.013018 Loss_D_fake 0.006138
[1322/5000][320/535][136418] Loss_D: -0.019475 Loss_G: 0.017977 Loss_D_real: -0.033461 Loss_D_fake -0.013986
[1322/5000][325/535][136419] Loss_D: -0.019817 Loss_G: 0.011334 Loss_D_real: -0.005531 Loss_D_fake 0.014285
[1322/5000][330/535][136420] Loss_D: -0.020014 Loss_G: 0.006602 Loss_D_real: -0.023502 Loss_D_fake -0.003488
[1322/5000][335/535][136421] Loss_D: -0.019965 Loss_G: 0.023895 Loss_D_real: -0.012560 Loss_D_fake 0.007405
[1322/5000][340/535][136422] Loss_D: -0.019987 Loss_G: 0.017448 Loss_D_real: -0.020043 Loss_D_fake -0.000056
[1322/5000][345/535][136423] Loss_D: -0.019021 Loss_G: 0.035729 Loss_D_real: -0.034493 Loss_D_fake -0.015472
[1322/5000][350/535][136424] Loss_D: -0.018656 Loss_G: 0.014100 Loss_D_real: -0.026883 Loss_D_fake -0.008227
[1322/5000][355/535][136425] Loss_D: -0.019412 Loss_G: 0.018492 Loss_D_real: -0.025323 Loss_D_fake -0.005912
[1322/5000][360/535][136426] Loss_D: -0.020069 Loss_G: -0.000922 Loss_D_real: -0.005688 Loss_D_fake 0.014381
[1322/5000][365/535][136427] Loss_D: -0.020209 Loss_G: 0.019436 Loss_D_real: -0.023503 Loss_D_fake -0.003294
[1322/5000][370/535][136428] Loss_D: -0.020398 Loss_G: 0.000295 Loss_D_real: 0.000404 Loss_D_fake 0.020802
[1322/5000][375/535][136429] Loss_D: -0.020150 Loss_G: 0.004122 Loss_D_real: -0.017459 Loss_D_fake 0.002691
[1322/5000][380/535][136430] Loss_D: -0.017170 Loss_G: -0.019050 Loss_D_real: 0.010373 Loss_D_fake 0.027543
[1322/5000][385/535][136431] Loss_D: -0.019733 Loss_G: 0.015027 Loss_D_real: -0.011457 Loss_D_fake 0.008276
[1322/5000][390/535][136432] Loss_D: -0.019850 Loss_G: 0.017991 Loss_D_real: -0.021408 Loss_D_fake -0.001558
[1322/5000][395/535][136433] Loss_D: -0.020285 Loss_G: -0.019766 Loss_D_real: -0.006470 Loss_D_fake 0.013815
[1322/5000][400/535][136434] Loss_D: -0.018711 Loss_G: -0.006933 Loss_D_real: -0.020670 Loss_D_fake -0.001958
[1322/5000][405/535][136435] Loss_D: -0.021630 Loss_G: 0.003636 Loss_D_real: -0.019638 Loss_D_fake 0.001992
[1322/5000][410/535][136436] Loss_D: -0.019633 Loss_G: 0.006570 Loss_D_real: -0.008057 Loss_D_fake 0.011576
[1322/5000][415/535][136437] Loss_D: -0.020306 Loss_G: 0.011840 Loss_D_real: -0.013017 Loss_D_fake 0.007289
[1322/5000][420/535][136438] Loss_D: -0.020004 Loss_G: 0.008268 Loss_D_real: -0.013892 Loss_D_fake 0.006111
[1322/5000][425/535][136439] Loss_D: -0.019747 Loss_G: 0.017614 Loss_D_real: -0.018845 Loss_D_fake 0.000902
[1322/5000][430/535][136440] Loss_D: -0.020027 Loss_G: -0.011838 Loss_D_real: 0.007516 Loss_D_fake 0.027543
[1322/5000][435/535][136441] Loss_D: -0.020651 Loss_G: 0.025107 Loss_D_real: -0.022236 Loss_D_fake -0.001585
[1322/5000][440/535][136442] Loss_D: -0.019058 Loss_G: -0.006683 Loss_D_real: -0.005786 Loss_D_fake 0.013272
[1322/5000][445/535][136443] Loss_D: -0.020089 Loss_G: 0.022082 Loss_D_real: -0.013285 Loss_D_fake 0.006804
[1322/5000][450/535][136444] Loss_D: -0.021178 Loss_G: 0.018874 Loss_D_real: -0.020983 Loss_D_fake 0.000196
[1322/5000][455/535][136445] Loss_D: -0.020047 Loss_G: 0.010372 Loss_D_real: -0.017032 Loss_D_fake 0.003015
[1322/5000][460/535][136446] Loss_D: -0.021372 Loss_G: -0.007392 Loss_D_real: -0.008907 Loss_D_fake 0.012466
[1322/5000][465/535][136447] Loss_D: -0.019448 Loss_G: 0.001167 Loss_D_real: -0.010468 Loss_D_fake 0.008981
[1322/5000][470/535][136448] Loss_D: -0.020391 Loss_G: 0.003129 Loss_D_real: -0.000459 Loss_D_fake 0.019932
[1322/5000][475/535][136449] Loss_D: -0.019441 Loss_G: 0.020116 Loss_D_real: -0.015698 Loss_D_fake 0.003743
[1322/5000][480/535][136450] Loss_D: -0.020017 Loss_G: 0.004272 Loss_D_real: -0.013807 Loss_D_fake 0.006209
[1322/5000][485/535][136451] Loss_D: -0.019679 Loss_G: -0.009401 Loss_D_real: -0.009909 Loss_D_fake 0.009770
[1322/5000][490/535][136452] Loss_D: -0.019698 Loss_G: 0.016747 Loss_D_real: -0.028100 Loss_D_fake -0.008403
[1322/5000][495/535][136453] Loss_D: -0.021433 Loss_G: 0.008026 Loss_D_real: -0.001203 Loss_D_fake 0.020230
[1322/5000][500/535][136454] Loss_D: -0.019180 Loss_G: 0.000936 Loss_D_real: -0.007059 Loss_D_fake 0.012121
[1322/5000][505/535][136455] Loss_D: -0.019384 Loss_G: 0.003017 Loss_D_real: -0.004896 Loss_D_fake 0.014488
[1322/5000][510/535][136456] Loss_D: -0.018946 Loss_G: 0.010237 Loss_D_real: -0.023735 Loss_D_fake -0.004789
[1322/5000][515/535][136457] Loss_D: -0.018563 Loss_G: 0.004244 Loss_D_real: -0.005938 Loss_D_fake 0.012625
[1322/5000][520/535][136458] Loss_D: -0.021079 Loss_G: 0.005538 Loss_D_real: -0.004862 Loss_D_fake 0.016217
[1322/5000][525/535][136459] Loss_D: -0.018797 Loss_G: 0.022442 Loss_D_real: -0.012200 Loss_D_fake 0.006597
[1322/5000][530/535][136460] Loss_D: -0.020358 Loss_G: 0.005221 Loss_D_real: -0.023456 Loss_D_fake -0.003098
[1322/5000][535/535][136461] Loss_D: -0.019709 Loss_G: 0.010624 Loss_D_real: 0.001799 Loss_D_fake 0.021508
[1323/5000][5/535][136462] Loss_D: -0.020064 Loss_G: 0.006549 Loss_D_real: -0.021778 Loss_D_fake -0.001714
[1323/5000][10/535][136463] Loss_D: -0.019747 Loss_G: 0.013399 Loss_D_real: -0.011672 Loss_D_fake 0.008075
[1323/5000][15/535][136464] Loss_D: -0.019203 Loss_G: 0.001369 Loss_D_real: -0.013273 Loss_D_fake 0.005930
[1323/5000][20/535][136465] Loss_D: -0.019354 Loss_G: 0.012411 Loss_D_real: -0.017079 Loss_D_fake 0.002274
[1323/5000][25/535][136466] Loss_D: -0.019120 Loss_G: 0.022067 Loss_D_real: -0.013164 Loss_D_fake 0.005956
[1323/5000][30/535][136467] Loss_D: -0.019783 Loss_G: -0.000863 Loss_D_real: -0.003648 Loss_D_fake 0.016135
[1323/5000][35/535][136468] Loss_D: -0.019791 Loss_G: -0.010178 Loss_D_real: -0.004255 Loss_D_fake 0.015536
[1323/5000][40/535][136469] Loss_D: -0.018984 Loss_G: 0.020928 Loss_D_real: -0.024586 Loss_D_fake -0.005602
[1323/5000][45/535][136470] Loss_D: -0.022920 Loss_G: 0.006858 Loss_D_real: -0.022302 Loss_D_fake 0.000618
[1323/5000][50/535][136471] Loss_D: -0.019468 Loss_G: 0.018535 Loss_D_real: -0.002077 Loss_D_fake 0.017391
[1323/5000][55/535][136472] Loss_D: -0.020004 Loss_G: -0.009977 Loss_D_real: -0.011086 Loss_D_fake 0.008918
[1323/5000][60/535][136473] Loss_D: -0.018295 Loss_G: 0.030406 Loss_D_real: -0.020049 Loss_D_fake -0.001755
[1323/5000][65/535][136474] Loss_D: -0.018974 Loss_G: 0.005933 Loss_D_real: -0.014616 Loss_D_fake 0.004358
[1323/5000][70/535][136475] Loss_D: -0.018013 Loss_G: 0.004571 Loss_D_real: -0.019428 Loss_D_fake -0.001415
[1323/5000][75/535][136476] Loss_D: -0.018635 Loss_G: -0.003043 Loss_D_real: -0.014602 Loss_D_fake 0.004033
[1323/5000][80/535][136477] Loss_D: -0.019594 Loss_G: 0.010070 Loss_D_real: -0.004169 Loss_D_fake 0.015425
[1323/5000][85/535][136478] Loss_D: -0.020002 Loss_G: 0.011440 Loss_D_real: -0.008730 Loss_D_fake 0.011272
[1323/5000][90/535][136479] Loss_D: -0.018212 Loss_G: 0.019639 Loss_D_real: -0.023926 Loss_D_fake -0.005713
[1323/5000][95/535][136480] Loss_D: -0.020427 Loss_G: 0.022071 Loss_D_real: -0.017063 Loss_D_fake 0.003364
[1323/5000][100/535][136481] Loss_D: -0.020060 Loss_G: -0.003306 Loss_D_real: -0.005868 Loss_D_fake 0.014192
[1323/5000][105/535][136482] Loss_D: -0.017767 Loss_G: -0.012392 Loss_D_real: -0.000761 Loss_D_fake 0.017005
[1323/5000][110/535][136483] Loss_D: -0.019470 Loss_G: -0.006498 Loss_D_real: -0.016656 Loss_D_fake 0.002815
[1323/5000][115/535][136484] Loss_D: -0.019331 Loss_G: 0.023129 Loss_D_real: -0.019424 Loss_D_fake -0.000094
[1323/5000][120/535][136485] Loss_D: -0.021284 Loss_G: 0.024253 Loss_D_real: -0.019896 Loss_D_fake 0.001388
[1323/5000][125/535][136486] Loss_D: -0.020840 Loss_G: 0.016370 Loss_D_real: -0.020054 Loss_D_fake 0.000786
[1323/5000][130/535][136487] Loss_D: -0.020729 Loss_G: 0.016729 Loss_D_real: -0.027482 Loss_D_fake -0.006753
[1323/5000][135/535][136488] Loss_D: -0.021288 Loss_G: 0.008418 Loss_D_real: -0.010283 Loss_D_fake 0.011005
[1323/5000][140/535][136489] Loss_D: -0.020588 Loss_G: 0.017645 Loss_D_real: -0.017027 Loss_D_fake 0.003560
[1323/5000][145/535][136490] Loss_D: -0.020032 Loss_G: 0.006512 Loss_D_real: -0.010912 Loss_D_fake 0.009120
[1323/5000][150/535][136491] Loss_D: -0.020376 Loss_G: 0.019441 Loss_D_real: -0.019442 Loss_D_fake 0.000934
[1323/5000][155/535][136492] Loss_D: -0.020216 Loss_G: 0.007569 Loss_D_real: -0.014954 Loss_D_fake 0.005262
[1323/5000][160/535][136493] Loss_D: -0.019489 Loss_G: 0.018130 Loss_D_real: -0.010533 Loss_D_fake 0.008956
[1323/5000][165/535][136494] Loss_D: -0.020478 Loss_G: -0.004597 Loss_D_real: -0.005679 Loss_D_fake 0.014799
[1323/5000][170/535][136495] Loss_D: -0.019522 Loss_G: 0.009337 Loss_D_real: -0.017820 Loss_D_fake 0.001701
[1323/5000][175/535][136496] Loss_D: -0.019645 Loss_G: 0.011892 Loss_D_real: -0.013191 Loss_D_fake 0.006454
[1323/5000][180/535][136497] Loss_D: -0.020160 Loss_G: 0.014389 Loss_D_real: -0.016283 Loss_D_fake 0.003877
[1323/5000][185/535][136498] Loss_D: -0.019702 Loss_G: 0.007384 Loss_D_real: -0.007784 Loss_D_fake 0.011918
[1323/5000][190/535][136499] Loss_D: -0.020253 Loss_G: 0.000675 Loss_D_real: -0.005107 Loss_D_fake 0.015146
[1323/5000][195/535][136500] Loss_D: -0.019431 Loss_G: 0.011253 Loss_D_real: -0.022430 Loss_D_fake -0.002999
[1323/5000][295/535][136501] Loss_D: -0.021521 Loss_G: 0.035972 Loss_D_real: -0.041251 Loss_D_fake -0.019730
[1323/5000][300/535][136502] Loss_D: -0.016104 Loss_G: 0.014157 Loss_D_real: -0.008295 Loss_D_fake 0.007809
[1323/5000][305/535][136503] Loss_D: -0.018313 Loss_G: 0.003468 Loss_D_real: -0.009372 Loss_D_fake 0.008941
[1323/5000][310/535][136504] Loss_D: -0.018776 Loss_G: 0.014403 Loss_D_real: -0.020414 Loss_D_fake -0.001639
[1323/5000][315/535][136505] Loss_D: -0.019173 Loss_G: 0.014099 Loss_D_real: -0.012801 Loss_D_fake 0.006372
[1323/5000][320/535][136506] Loss_D: -0.016674 Loss_G: 0.018445 Loss_D_real: -0.030395 Loss_D_fake -0.013721
[1323/5000][325/535][136507] Loss_D: -0.019384 Loss_G: 0.012515 Loss_D_real: -0.015800 Loss_D_fake 0.003584
[1323/5000][330/535][136508] Loss_D: -0.019515 Loss_G: 0.002638 Loss_D_real: -0.022325 Loss_D_fake -0.002810
[1323/5000][335/535][136509] Loss_D: -0.018758 Loss_G: 0.012016 Loss_D_real: -0.016703 Loss_D_fake 0.002055
[1323/5000][340/535][136510] Loss_D: -0.018085 Loss_G: 0.000341 Loss_D_real: 0.001642 Loss_D_fake 0.019727
[1323/5000][345/535][136511] Loss_D: -0.020879 Loss_G: -0.011813 Loss_D_real: -0.017348 Loss_D_fake 0.003531
[1323/5000][350/535][136512] Loss_D: -0.018451 Loss_G: 0.015468 Loss_D_real: -0.025568 Loss_D_fake -0.007117
[1323/5000][355/535][136513] Loss_D: -0.019539 Loss_G: 0.017237 Loss_D_real: -0.016301 Loss_D_fake 0.003238
[1323/5000][360/535][136514] Loss_D: -0.018377 Loss_G: -0.003207 Loss_D_real: -0.014141 Loss_D_fake 0.004236
[1323/5000][365/535][136515] Loss_D: -0.019976 Loss_G: 0.003380 Loss_D_real: -0.014568 Loss_D_fake 0.005408
[1323/5000][370/535][136516] Loss_D: -0.019509 Loss_G: 0.022772 Loss_D_real: -0.017143 Loss_D_fake 0.002366
[1323/5000][375/535][136517] Loss_D: -0.019107 Loss_G: 0.010276 Loss_D_real: -0.014625 Loss_D_fake 0.004483
[1323/5000][380/535][136518] Loss_D: -0.019430 Loss_G: 0.014039 Loss_D_real: -0.026524 Loss_D_fake -0.007094
[1323/5000][385/535][136519] Loss_D: -0.018776 Loss_G: 0.026052 Loss_D_real: -0.009534 Loss_D_fake 0.009242
[1323/5000][390/535][136520] Loss_D: -0.020911 Loss_G: 0.004926 Loss_D_real: -0.019853 Loss_D_fake 0.001058
[1323/5000][395/535][136521] Loss_D: -0.020411 Loss_G: 0.022072 Loss_D_real: -0.016090 Loss_D_fake 0.004322
[1323/5000][400/535][136522] Loss_D: -0.019319 Loss_G: 0.011241 Loss_D_real: -0.012077 Loss_D_fake 0.007242
[1323/5000][405/535][136523] Loss_D: -0.019703 Loss_G: -0.015049 Loss_D_real: -0.007960 Loss_D_fake 0.011744
[1323/5000][410/535][136524] Loss_D: -0.018960 Loss_G: 0.004347 Loss_D_real: -0.015003 Loss_D_fake 0.003957
[1323/5000][415/535][136525] Loss_D: -0.019459 Loss_G: -0.007149 Loss_D_real: -0.005881 Loss_D_fake 0.013578
[1323/5000][420/535][136526] Loss_D: -0.019049 Loss_G: 0.023230 Loss_D_real: -0.024569 Loss_D_fake -0.005520
[1323/5000][425/535][136527] Loss_D: -0.019272 Loss_G: 0.008540 Loss_D_real: -0.017599 Loss_D_fake 0.001673
[1323/5000][430/535][136528] Loss_D: -0.017519 Loss_G: -0.016908 Loss_D_real: -0.000478 Loss_D_fake 0.017041
[1323/5000][435/535][136529] Loss_D: -0.020381 Loss_G: 0.016485 Loss_D_real: -0.014072 Loss_D_fake 0.006309
[1323/5000][440/535][136530] Loss_D: -0.018518 Loss_G: -0.017023 Loss_D_real: -0.001372 Loss_D_fake 0.017146
[1323/5000][445/535][136531] Loss_D: -0.018438 Loss_G: 0.019874 Loss_D_real: -0.027596 Loss_D_fake -0.009158
[1323/5000][450/535][136532] Loss_D: -0.017260 Loss_G: 0.005689 Loss_D_real: -0.010887 Loss_D_fake 0.006373
[1323/5000][455/535][136533] Loss_D: -0.018878 Loss_G: 0.006688 Loss_D_real: -0.020893 Loss_D_fake -0.002015
[1323/5000][460/535][136534] Loss_D: -0.019655 Loss_G: 0.002369 Loss_D_real: -0.024438 Loss_D_fake -0.004783
[1323/5000][465/535][136535] Loss_D: -0.018904 Loss_G: -0.011148 Loss_D_real: 0.001008 Loss_D_fake 0.019912
[1323/5000][470/535][136536] Loss_D: -0.019515 Loss_G: 0.011871 Loss_D_real: -0.012652 Loss_D_fake 0.006863
[1323/5000][475/535][136537] Loss_D: -0.019566 Loss_G: 0.009187 Loss_D_real: -0.016798 Loss_D_fake 0.002768
[1323/5000][480/535][136538] Loss_D: -0.018553 Loss_G: 0.014335 Loss_D_real: -0.016787 Loss_D_fake 0.001767
[1323/5000][485/535][136539] Loss_D: -0.020152 Loss_G: 0.022091 Loss_D_real: -0.006003 Loss_D_fake 0.014149
[1323/5000][490/535][136540] Loss_D: -0.018794 Loss_G: 0.009643 Loss_D_real: -0.013390 Loss_D_fake 0.005403
[1323/5000][495/535][136541] Loss_D: -0.021537 Loss_G: 0.014885 Loss_D_real: -0.017107 Loss_D_fake 0.004429
[1323/5000][500/535][136542] Loss_D: -0.021533 Loss_G: 0.015408 Loss_D_real: -0.014856 Loss_D_fake 0.006677
[1323/5000][505/535][136543] Loss_D: -0.020806 Loss_G: 0.002363 Loss_D_real: -0.019511 Loss_D_fake 0.001295
[1323/5000][510/535][136544] Loss_D: -0.020209 Loss_G: -0.013203 Loss_D_real: 0.002005 Loss_D_fake 0.022213
[1323/5000][515/535][136545] Loss_D: -0.021737 Loss_G: 0.007765 Loss_D_real: -0.010021 Loss_D_fake 0.011716
[1323/5000][520/535][136546] Loss_D: -0.020173 Loss_G: 0.011897 Loss_D_real: -0.013950 Loss_D_fake 0.006223
[1323/5000][525/535][136547] Loss_D: -0.019178 Loss_G: 0.003491 Loss_D_real: -0.013726 Loss_D_fake 0.005452
[1323/5000][530/535][136548] Loss_D: -0.018285 Loss_G: 0.028501 Loss_D_real: -0.016617 Loss_D_fake 0.001669
[1323/5000][535/535][136549] Loss_D: -0.017206 Loss_G: -0.008830 Loss_D_real: 0.000529 Loss_D_fake 0.017735
[1324/5000][5/535][136550] Loss_D: -0.020058 Loss_G: 0.009728 Loss_D_real: -0.021530 Loss_D_fake -0.001471
[1324/5000][10/535][136551] Loss_D: -0.018227 Loss_G: 0.008863 Loss_D_real: -0.018186 Loss_D_fake 0.000042
[1324/5000][15/535][136552] Loss_D: -0.019013 Loss_G: 0.025838 Loss_D_real: -0.013618 Loss_D_fake 0.005394
[1324/5000][20/535][136553] Loss_D: -0.018331 Loss_G: 0.004580 Loss_D_real: -0.009447 Loss_D_fake 0.008884
[1324/5000][25/535][136554] Loss_D: -0.019436 Loss_G: 0.005732 Loss_D_real: -0.011399 Loss_D_fake 0.008037
[1324/5000][30/535][136555] Loss_D: -0.020626 Loss_G: 0.003685 Loss_D_real: -0.006439 Loss_D_fake 0.014186
[1324/5000][35/535][136556] Loss_D: -0.020522 Loss_G: 0.006310 Loss_D_real: -0.005178 Loss_D_fake 0.015344
[1324/5000][40/535][136557] Loss_D: -0.021151 Loss_G: 0.022081 Loss_D_real: -0.017760 Loss_D_fake 0.003391
[1324/5000][45/535][136558] Loss_D: -0.020361 Loss_G: 0.009622 Loss_D_real: -0.004851 Loss_D_fake 0.015510
[1324/5000][50/535][136559] Loss_D: -0.019466 Loss_G: 0.029847 Loss_D_real: -0.019567 Loss_D_fake -0.000100
[1324/5000][55/535][136560] Loss_D: -0.018920 Loss_G: 0.031882 Loss_D_real: -0.023037 Loss_D_fake -0.004117
[1324/5000][60/535][136561] Loss_D: -0.020175 Loss_G: 0.004440 Loss_D_real: -0.021451 Loss_D_fake -0.001276
[1324/5000][65/535][136562] Loss_D: -0.019732 Loss_G: -0.003045 Loss_D_real: -0.010414 Loss_D_fake 0.009319
[1324/5000][70/535][136563] Loss_D: -0.020366 Loss_G: 0.015276 Loss_D_real: -0.027423 Loss_D_fake -0.007057
[1324/5000][75/535][136564] Loss_D: -0.018917 Loss_G: -0.006889 Loss_D_real: 0.013181 Loss_D_fake 0.032098
[1324/5000][80/535][136565] Loss_D: -0.019889 Loss_G: 0.019066 Loss_D_real: -0.020362 Loss_D_fake -0.000473
[1324/5000][85/535][136566] Loss_D: -0.020276 Loss_G: 0.007396 Loss_D_real: 0.000511 Loss_D_fake 0.020787
[1324/5000][90/535][136567] Loss_D: -0.019498 Loss_G: 0.015635 Loss_D_real: -0.013419 Loss_D_fake 0.006079
[1324/5000][95/535][136568] Loss_D: -0.018268 Loss_G: 0.000564 Loss_D_real: 0.000501 Loss_D_fake 0.018769
[1324/5000][100/535][136569] Loss_D: -0.019051 Loss_G: 0.012874 Loss_D_real: -0.018579 Loss_D_fake 0.000473
[1324/5000][105/535][136570] Loss_D: -0.021196 Loss_G: -0.001583 Loss_D_real: -0.008495 Loss_D_fake 0.012701
[1324/5000][110/535][136571] Loss_D: -0.020207 Loss_G: 0.010177 Loss_D_real: -0.009026 Loss_D_fake 0.011181
[1324/5000][115/535][136572] Loss_D: -0.018731 Loss_G: 0.023920 Loss_D_real: -0.031569 Loss_D_fake -0.012838
[1324/5000][120/535][136573] Loss_D: -0.021461 Loss_G: 0.011626 Loss_D_real: -0.015444 Loss_D_fake 0.006017
[1324/5000][125/535][136574] Loss_D: -0.019933 Loss_G: 0.011481 Loss_D_real: -0.022932 Loss_D_fake -0.002999
[1324/5000][130/535][136575] Loss_D: -0.019652 Loss_G: 0.003764 Loss_D_real: -0.027104 Loss_D_fake -0.007452
[1324/5000][135/535][136576] Loss_D: -0.019854 Loss_G: -0.000918 Loss_D_real: -0.019310 Loss_D_fake 0.000544
[1324/5000][140/535][136577] Loss_D: -0.019564 Loss_G: 0.010343 Loss_D_real: -0.018715 Loss_D_fake 0.000849
[1324/5000][145/535][136578] Loss_D: -0.020400 Loss_G: 0.010744 Loss_D_real: -0.012037 Loss_D_fake 0.008363
[1324/5000][150/535][136579] Loss_D: -0.018138 Loss_G: 0.028641 Loss_D_real: -0.023596 Loss_D_fake -0.005458
[1324/5000][155/535][136580] Loss_D: -0.019011 Loss_G: -0.004649 Loss_D_real: -0.007189 Loss_D_fake 0.011822
[1324/5000][160/535][136581] Loss_D: -0.018797 Loss_G: 0.008676 Loss_D_real: -0.007258 Loss_D_fake 0.011538
[1324/5000][165/535][136582] Loss_D: -0.019701 Loss_G: 0.006025 Loss_D_real: -0.010952 Loss_D_fake 0.008749
[1324/5000][170/535][136583] Loss_D: -0.019414 Loss_G: 0.004516 Loss_D_real: -0.007003 Loss_D_fake 0.012411
[1324/5000][175/535][136584] Loss_D: -0.020752 Loss_G: 0.014374 Loss_D_real: -0.023894 Loss_D_fake -0.003142
[1324/5000][180/535][136585] Loss_D: -0.020337 Loss_G: 0.007698 Loss_D_real: -0.017649 Loss_D_fake 0.002689
[1324/5000][185/535][136586] Loss_D: -0.020011 Loss_G: 0.017691 Loss_D_real: -0.009867 Loss_D_fake 0.010144
[1324/5000][190/535][136587] Loss_D: -0.019932 Loss_G: 0.023714 Loss_D_real: -0.007209 Loss_D_fake 0.012723
[1324/5000][195/535][136588] Loss_D: -0.020538 Loss_G: 0.002765 Loss_D_real: -0.015815 Loss_D_fake 0.004722
[1324/5000][200/535][136589] Loss_D: -0.018615 Loss_G: 0.016295 Loss_D_real: -0.018759 Loss_D_fake -0.000144
[1324/5000][205/535][136590] Loss_D: -0.019968 Loss_G: 0.021284 Loss_D_real: -0.031032 Loss_D_fake -0.011064
[1324/5000][210/535][136591] Loss_D: -0.020120 Loss_G: -0.008440 Loss_D_real: -0.001109 Loss_D_fake 0.019011
[1324/5000][215/535][136592] Loss_D: -0.020054 Loss_G: -0.004199 Loss_D_real: 0.000142 Loss_D_fake 0.020196
[1324/5000][220/535][136593] Loss_D: -0.020562 Loss_G: 0.016967 Loss_D_real: -0.010486 Loss_D_fake 0.010076
[1324/5000][225/535][136594] Loss_D: -0.018733 Loss_G: -0.002869 Loss_D_real: -0.008603 Loss_D_fake 0.010131
[1324/5000][230/535][136595] Loss_D: -0.016807 Loss_G: 0.031274 Loss_D_real: -0.030548 Loss_D_fake -0.013742
[1324/5000][235/535][136596] Loss_D: -0.019735 Loss_G: -0.006689 Loss_D_real: -0.007998 Loss_D_fake 0.011737
[1324/5000][240/535][136597] Loss_D: -0.020290 Loss_G: -0.014132 Loss_D_real: 0.003044 Loss_D_fake 0.023334
[1324/5000][245/535][136598] Loss_D: -0.019904 Loss_G: 0.019136 Loss_D_real: -0.014742 Loss_D_fake 0.005162
[1324/5000][250/535][136599] Loss_D: -0.019435 Loss_G: -0.006724 Loss_D_real: 0.002796 Loss_D_fake 0.022232
[1324/5000][255/535][136600] Loss_D: -0.018015 Loss_G: -0.018420 Loss_D_real: 0.003066 Loss_D_fake 0.021082
[1324/5000][260/535][136601] Loss_D: -0.018121 Loss_G: 0.016853 Loss_D_real: -0.011063 Loss_D_fake 0.007057
[1324/5000][265/535][136602] Loss_D: -0.019950 Loss_G: 0.018559 Loss_D_real: -0.017839 Loss_D_fake 0.002111
[1324/5000][270/535][136603] Loss_D: -0.019822 Loss_G: 0.000203 Loss_D_real: -0.006323 Loss_D_fake 0.013499
[1324/5000][275/535][136604] Loss_D: -0.019977 Loss_G: 0.011801 Loss_D_real: -0.016086 Loss_D_fake 0.003891
[1324/5000][280/535][136605] Loss_D: -0.019130 Loss_G: 0.001681 Loss_D_real: -0.006978 Loss_D_fake 0.012152
[1324/5000][285/535][136606] Loss_D: -0.019891 Loss_G: 0.012280 Loss_D_real: -0.021401 Loss_D_fake -0.001510
[1324/5000][290/535][136607] Loss_D: -0.020111 Loss_G: 0.005610 Loss_D_real: 0.006818 Loss_D_fake 0.026929
[1324/5000][295/535][136608] Loss_D: -0.019777 Loss_G: -0.002279 Loss_D_real: -0.006565 Loss_D_fake 0.013211
[1324/5000][300/535][136609] Loss_D: -0.021085 Loss_G: 0.022344 Loss_D_real: -0.017507 Loss_D_fake 0.003578
[1324/5000][305/535][136610] Loss_D: -0.019694 Loss_G: 0.003029 Loss_D_real: -0.015864 Loss_D_fake 0.003829
[1324/5000][310/535][136611] Loss_D: -0.019418 Loss_G: -0.008763 Loss_D_real: 0.001416 Loss_D_fake 0.020834
[1324/5000][315/535][136612] Loss_D: -0.019582 Loss_G: 0.013508 Loss_D_real: -0.012877 Loss_D_fake 0.006704
[1324/5000][320/535][136613] Loss_D: -0.017942 Loss_G: 0.034028 Loss_D_real: -0.034507 Loss_D_fake -0.016565
[1324/5000][325/535][136614] Loss_D: -0.019150 Loss_G: 0.017944 Loss_D_real: -0.020392 Loss_D_fake -0.001242
[1324/5000][330/535][136615] Loss_D: -0.021299 Loss_G: 0.011000 Loss_D_real: -0.008966 Loss_D_fake 0.012333
[1324/5000][335/535][136616] Loss_D: -0.021177 Loss_G: 0.001815 Loss_D_real: -0.007072 Loss_D_fake 0.014106
[1324/5000][340/535][136617] Loss_D: -0.018462 Loss_G: 0.023370 Loss_D_real: -0.024602 Loss_D_fake -0.006139
[1324/5000][345/535][136618] Loss_D: -0.018732 Loss_G: -0.004368 Loss_D_real: -0.005409 Loss_D_fake 0.013324
[1324/5000][350/535][136619] Loss_D: -0.019293 Loss_G: 0.012152 Loss_D_real: -0.025569 Loss_D_fake -0.006275
[1324/5000][355/535][136620] Loss_D: -0.018777 Loss_G: 0.010155 Loss_D_real: -0.015788 Loss_D_fake 0.002988
[1324/5000][360/535][136621] Loss_D: -0.019801 Loss_G: -0.012990 Loss_D_real: -0.009848 Loss_D_fake 0.009953
[1324/5000][365/535][136622] Loss_D: -0.018707 Loss_G: 0.021740 Loss_D_real: -0.026800 Loss_D_fake -0.008093
[1324/5000][370/535][136623] Loss_D: -0.020266 Loss_G: 0.015490 Loss_D_real: -0.023175 Loss_D_fake -0.002909
[1324/5000][375/535][136624] Loss_D: -0.019499 Loss_G: 0.012290 Loss_D_real: -0.015219 Loss_D_fake 0.004281
[1324/5000][380/535][136625] Loss_D: -0.019337 Loss_G: 0.018074 Loss_D_real: -0.025954 Loss_D_fake -0.006617
[1324/5000][385/535][136626] Loss_D: -0.020030 Loss_G: 0.015644 Loss_D_real: -0.004975 Loss_D_fake 0.015055
[1324/5000][390/535][136627] Loss_D: -0.018795 Loss_G: 0.016828 Loss_D_real: -0.032753 Loss_D_fake -0.013958
[1324/5000][395/535][136628] Loss_D: -0.019751 Loss_G: -0.003326 Loss_D_real: -0.008772 Loss_D_fake 0.010979
[1324/5000][400/535][136629] Loss_D: -0.019935 Loss_G: 0.010291 Loss_D_real: -0.005635 Loss_D_fake 0.014301
[1324/5000][405/535][136630] Loss_D: -0.018537 Loss_G: 0.012990 Loss_D_real: -0.012836 Loss_D_fake 0.005701
[1324/5000][410/535][136631] Loss_D: -0.020053 Loss_G: -0.008394 Loss_D_real: -0.006456 Loss_D_fake 0.013597
[1324/5000][415/535][136632] Loss_D: -0.019768 Loss_G: 0.020776 Loss_D_real: -0.025884 Loss_D_fake -0.006116
[1324/5000][420/535][136633] Loss_D: -0.020941 Loss_G: -0.000686 Loss_D_real: -0.008053 Loss_D_fake 0.012888
[1324/5000][425/535][136634] Loss_D: -0.019740 Loss_G: -0.007835 Loss_D_real: -0.011756 Loss_D_fake 0.007984
[1324/5000][430/535][136635] Loss_D: -0.018361 Loss_G: 0.003472 Loss_D_real: -0.002526 Loss_D_fake 0.015834
[1324/5000][435/535][136636] Loss_D: -0.019914 Loss_G: 0.018025 Loss_D_real: -0.019009 Loss_D_fake 0.000905
[1324/5000][440/535][136637] Loss_D: -0.018749 Loss_G: 0.007714 Loss_D_real: -0.007027 Loss_D_fake 0.011722
[1324/5000][445/535][136638] Loss_D: -0.020015 Loss_G: -0.002358 Loss_D_real: -0.009840 Loss_D_fake 0.010175
[1324/5000][450/535][136639] Loss_D: -0.018972 Loss_G: 0.004715 Loss_D_real: -0.011501 Loss_D_fake 0.007471
[1324/5000][455/535][136640] Loss_D: -0.018733 Loss_G: 0.022841 Loss_D_real: -0.018962 Loss_D_fake -0.000229
[1324/5000][460/535][136641] Loss_D: -0.018846 Loss_G: -0.007864 Loss_D_real: -0.014259 Loss_D_fake 0.004587
[1324/5000][465/535][136642] Loss_D: -0.019436 Loss_G: 0.018580 Loss_D_real: -0.012160 Loss_D_fake 0.007277
[1324/5000][470/535][136643] Loss_D: -0.019746 Loss_G: -0.013768 Loss_D_real: 0.000263 Loss_D_fake 0.020009
[1324/5000][475/535][136644] Loss_D: -0.018691 Loss_G: -0.008486 Loss_D_real: -0.000558 Loss_D_fake 0.018134
[1324/5000][480/535][136645] Loss_D: -0.019954 Loss_G: 0.004330 Loss_D_real: -0.016185 Loss_D_fake 0.003770
[1324/5000][485/535][136646] Loss_D: -0.019742 Loss_G: 0.018087 Loss_D_real: -0.020378 Loss_D_fake -0.000637
[1324/5000][490/535][136647] Loss_D: -0.021109 Loss_G: 0.013447 Loss_D_real: -0.013521 Loss_D_fake 0.007588
[1324/5000][495/535][136648] Loss_D: -0.020234 Loss_G: 0.021434 Loss_D_real: -0.020165 Loss_D_fake 0.000069
[1324/5000][500/535][136649] Loss_D: -0.020703 Loss_G: -0.009979 Loss_D_real: -0.018596 Loss_D_fake 0.002108
[1324/5000][505/535][136650] Loss_D: -0.019107 Loss_G: 0.019144 Loss_D_real: -0.027643 Loss_D_fake -0.008536
[1324/5000][510/535][136651] Loss_D: -0.020630 Loss_G: 0.012035 Loss_D_real: -0.017770 Loss_D_fake 0.002859
[1324/5000][515/535][136652] Loss_D: -0.017951 Loss_G: 0.013908 Loss_D_real: -0.027984 Loss_D_fake -0.010033
[1324/5000][520/535][136653] Loss_D: -0.020007 Loss_G: 0.012032 Loss_D_real: -0.009694 Loss_D_fake 0.010313
[1324/5000][525/535][136654] Loss_D: -0.019744 Loss_G: 0.009330 Loss_D_real: -0.018588 Loss_D_fake 0.001156
[1324/5000][530/535][136655] Loss_D: -0.019885 Loss_G: 0.009794 Loss_D_real: -0.019364 Loss_D_fake 0.000521
[1324/5000][535/535][136656] Loss_D: -0.021652 Loss_G: 0.040386 Loss_D_real: -0.024622 Loss_D_fake -0.002970
[1325/5000][5/535][136657] Loss_D: -0.018653 Loss_G: 0.011464 Loss_D_real: -0.020551 Loss_D_fake -0.001898
[1325/5000][10/535][136658] Loss_D: -0.018781 Loss_G: 0.016092 Loss_D_real: -0.022693 Loss_D_fake -0.003912
[1325/5000][15/535][136659] Loss_D: -0.019850 Loss_G: 0.026012 Loss_D_real: -0.018425 Loss_D_fake 0.001425
[1325/5000][20/535][136660] Loss_D: -0.019709 Loss_G: 0.015586 Loss_D_real: -0.027081 Loss_D_fake -0.007371
[1325/5000][25/535][136661] Loss_D: -0.020292 Loss_G: 0.013580 Loss_D_real: -0.011648 Loss_D_fake 0.008644
[1325/5000][30/535][136662] Loss_D: -0.020010 Loss_G: 0.015600 Loss_D_real: -0.015439 Loss_D_fake 0.004572
[1325/5000][35/535][136663] Loss_D: -0.020524 Loss_G: -0.002487 Loss_D_real: -0.014707 Loss_D_fake 0.005817
[1325/5000][40/535][136664] Loss_D: -0.019108 Loss_G: -0.012684 Loss_D_real: 0.003055 Loss_D_fake 0.022163
[1325/5000][45/535][136665] Loss_D: -0.020328 Loss_G: 0.017482 Loss_D_real: -0.016883 Loss_D_fake 0.003445
[1325/5000][50/535][136666] Loss_D: -0.019432 Loss_G: -0.005421 Loss_D_real: -0.002948 Loss_D_fake 0.016483
[1325/5000][55/535][136667] Loss_D: -0.019257 Loss_G: -0.000217 Loss_D_real: -0.003683 Loss_D_fake 0.015573
[1325/5000][60/535][136668] Loss_D: -0.020072 Loss_G: 0.005618 Loss_D_real: -0.007431 Loss_D_fake 0.012641
[1325/5000][65/535][136669] Loss_D: -0.020181 Loss_G: 0.015308 Loss_D_real: -0.010710 Loss_D_fake 0.009470
[1325/5000][70/535][136670] Loss_D: -0.020325 Loss_G: 0.004796 Loss_D_real: -0.017064 Loss_D_fake 0.003261
[1325/5000][75/535][136671] Loss_D: -0.020177 Loss_G: 0.022830 Loss_D_real: -0.012493 Loss_D_fake 0.007683
[1325/5000][80/535][136672] Loss_D: -0.019864 Loss_G: 0.002452 Loss_D_real: -0.009926 Loss_D_fake 0.009939
[1325/5000][85/535][136673] Loss_D: -0.020092 Loss_G: 0.003040 Loss_D_real: -0.007256 Loss_D_fake 0.012836
[1325/5000][90/535][136674] Loss_D: -0.019649 Loss_G: 0.005927 Loss_D_real: -0.012972 Loss_D_fake 0.006677
[1325/5000][95/535][136675] Loss_D: -0.019599 Loss_G: 0.000328 Loss_D_real: -0.017727 Loss_D_fake 0.001872
[1325/5000][100/535][136676] Loss_D: -0.019636 Loss_G: -0.000495 Loss_D_real: 0.002289 Loss_D_fake 0.021924
[1325/5000][105/535][136677] Loss_D: -0.019287 Loss_G: 0.002732 Loss_D_real: -0.004356 Loss_D_fake 0.014931
[1325/5000][110/535][136678] Loss_D: -0.019190 Loss_G: -0.001088 Loss_D_real: -0.007254 Loss_D_fake 0.011937
[1325/5000][115/535][136679] Loss_D: -0.019401 Loss_G: 0.020506 Loss_D_real: -0.010421 Loss_D_fake 0.008980
[1325/5000][120/535][136680] Loss_D: -0.018718 Loss_G: -0.010781 Loss_D_real: -0.002657 Loss_D_fake 0.016061
[1325/5000][125/535][136681] Loss_D: -0.020128 Loss_G: 0.004774 Loss_D_real: -0.020172 Loss_D_fake -0.000043
[1325/5000][130/535][136682] Loss_D: -0.018548 Loss_G: 0.025200 Loss_D_real: -0.023577 Loss_D_fake -0.005029
[1325/5000][135/535][136683] Loss_D: -0.019639 Loss_G: -0.007179 Loss_D_real: -0.009549 Loss_D_fake 0.010090
[1325/5000][140/535][136684] Loss_D: -0.018809 Loss_G: -0.010590 Loss_D_real: -0.001755 Loss_D_fake 0.017054
[1325/5000][145/535][136685] Loss_D: -0.020246 Loss_G: 0.030778 Loss_D_real: -0.028635 Loss_D_fake -0.008388
[1325/5000][150/535][136686] Loss_D: -0.021138 Loss_G: 0.003294 Loss_D_real: -0.006486 Loss_D_fake 0.014652
[1325/5000][155/535][136687] Loss_D: -0.021162 Loss_G: 0.006185 Loss_D_real: -0.021752 Loss_D_fake -0.000589
[1325/5000][160/535][136688] Loss_D: -0.019294 Loss_G: 0.016750 Loss_D_real: -0.011116 Loss_D_fake 0.008178
[1325/5000][165/535][136689] Loss_D: -0.019738 Loss_G: -0.000097 Loss_D_real: 0.007775 Loss_D_fake 0.027513
[1325/5000][170/535][136690] Loss_D: -0.020554 Loss_G: 0.016179 Loss_D_real: -0.024876 Loss_D_fake -0.004322
[1325/5000][175/535][136691] Loss_D: -0.017500 Loss_G: -0.012467 Loss_D_real: 0.002142 Loss_D_fake 0.019642
[1325/5000][180/535][136692] Loss_D: -0.019733 Loss_G: -0.000173 Loss_D_real: -0.006989 Loss_D_fake 0.012744
[1325/5000][185/535][136693] Loss_D: -0.020004 Loss_G: -0.002088 Loss_D_real: -0.010668 Loss_D_fake 0.009337
[1325/5000][190/535][136694] Loss_D: -0.020165 Loss_G: 0.002719 Loss_D_real: -0.012110 Loss_D_fake 0.008055
[1325/5000][195/535][136695] Loss_D: -0.020417 Loss_G: 0.014737 Loss_D_real: -0.012023 Loss_D_fake 0.008395
[1325/5000][200/535][136696] Loss_D: -0.020902 Loss_G: 0.010619 Loss_D_real: -0.021943 Loss_D_fake -0.001041
[1325/5000][205/535][136697] Loss_D: -0.020632 Loss_G: 0.001785 Loss_D_real: -0.001500 Loss_D_fake 0.019133
[1325/5000][210/535][136698] Loss_D: -0.020985 Loss_G: 0.012607 Loss_D_real: -0.027032 Loss_D_fake -0.006047
[1325/5000][215/535][136699] Loss_D: -0.019955 Loss_G: 0.011943 Loss_D_real: -0.009363 Loss_D_fake 0.010591
[1325/5000][220/535][136700] Loss_D: -0.020151 Loss_G: 0.016016 Loss_D_real: -0.022160 Loss_D_fake -0.002009
[1325/5000][225/535][136701] Loss_D: -0.020851 Loss_G: 0.006376 Loss_D_real: -0.024368 Loss_D_fake -0.003518
[1325/5000][230/535][136702] Loss_D: -0.017221 Loss_G: 0.035404 Loss_D_real: -0.026725 Loss_D_fake -0.009504
[1325/5000][235/535][136703] Loss_D: -0.018905 Loss_G: 0.014354 Loss_D_real: -0.036201 Loss_D_fake -0.017296
[1325/5000][240/535][136704] Loss_D: -0.018968 Loss_G: 0.012124 Loss_D_real: -0.015402 Loss_D_fake 0.003566
[1325/5000][245/535][136705] Loss_D: -0.020345 Loss_G: 0.006496 Loss_D_real: -0.013129 Loss_D_fake 0.007216
[1325/5000][250/535][136706] Loss_D: -0.018888 Loss_G: -0.005230 Loss_D_real: -0.000090 Loss_D_fake 0.018798
[1325/5000][255/535][136707] Loss_D: -0.018718 Loss_G: -0.000477 Loss_D_real: -0.001984 Loss_D_fake 0.016734
[1325/5000][260/535][136708] Loss_D: -0.018496 Loss_G: 0.011393 Loss_D_real: -0.025407 Loss_D_fake -0.006911
[1325/5000][265/535][136709] Loss_D: -0.018255 Loss_G: 0.016987 Loss_D_real: -0.027781 Loss_D_fake -0.009526
[1325/5000][270/535][136710] Loss_D: -0.020494 Loss_G: 0.020451 Loss_D_real: -0.015481 Loss_D_fake 0.005013
[1325/5000][275/535][136711] Loss_D: -0.020567 Loss_G: 0.005684 Loss_D_real: -0.014099 Loss_D_fake 0.006468
[1325/5000][280/535][136712] Loss_D: -0.020138 Loss_G: 0.013826 Loss_D_real: -0.012187 Loss_D_fake 0.007950
[1325/5000][285/535][136713] Loss_D: -0.021830 Loss_G: 0.000384 Loss_D_real: -0.003712 Loss_D_fake 0.018118
[1325/5000][290/535][136714] Loss_D: -0.019094 Loss_G: 0.007790 Loss_D_real: 0.002599 Loss_D_fake 0.021693
[1325/5000][295/535][136715] Loss_D: -0.018681 Loss_G: -0.001397 Loss_D_real: -0.009477 Loss_D_fake 0.009204
[1325/5000][300/535][136716] Loss_D: -0.020020 Loss_G: 0.016135 Loss_D_real: -0.009146 Loss_D_fake 0.010874
[1325/5000][305/535][136717] Loss_D: -0.019478 Loss_G: 0.007603 Loss_D_real: -0.010435 Loss_D_fake 0.009043
[1325/5000][310/535][136718] Loss_D: -0.018924 Loss_G: 0.006767 Loss_D_real: -0.022628 Loss_D_fake -0.003704
[1325/5000][315/535][136719] Loss_D: -0.020573 Loss_G: 0.004147 Loss_D_real: -0.027298 Loss_D_fake -0.006725
[1325/5000][320/535][136720] Loss_D: -0.017651 Loss_G: -0.019646 Loss_D_real: 0.010730 Loss_D_fake 0.028381
[1325/5000][325/535][136721] Loss_D: -0.020529 Loss_G: 0.008475 Loss_D_real: -0.017620 Loss_D_fake 0.002909
[1325/5000][330/535][136722] Loss_D: -0.019303 Loss_G: 0.010227 Loss_D_real: -0.018584 Loss_D_fake 0.000719
[1325/5000][335/535][136723] Loss_D: -0.019882 Loss_G: 0.016390 Loss_D_real: -0.030156 Loss_D_fake -0.010273
[1325/5000][340/535][136724] Loss_D: -0.018999 Loss_G: -0.017258 Loss_D_real: -0.002762 Loss_D_fake 0.016238
[1325/5000][345/535][136725] Loss_D: -0.020179 Loss_G: 0.015652 Loss_D_real: -0.027259 Loss_D_fake -0.007080
[1325/5000][350/535][136726] Loss_D: -0.020984 Loss_G: 0.011254 Loss_D_real: -0.005346 Loss_D_fake 0.015639
[1325/5000][355/535][136727] Loss_D: -0.020336 Loss_G: 0.013389 Loss_D_real: -0.012022 Loss_D_fake 0.008314
[1325/5000][360/535][136728] Loss_D: -0.019103 Loss_G: 0.024226 Loss_D_real: -0.020993 Loss_D_fake -0.001890
[1325/5000][365/535][136729] Loss_D: -0.019737 Loss_G: 0.003066 Loss_D_real: -0.002738 Loss_D_fake 0.016999
[1325/5000][370/535][136730] Loss_D: -0.019148 Loss_G: 0.007125 Loss_D_real: -0.019539 Loss_D_fake -0.000391
[1325/5000][375/535][136731] Loss_D: -0.019852 Loss_G: -0.011856 Loss_D_real: -0.005892 Loss_D_fake 0.013961
[1325/5000][380/535][136732] Loss_D: -0.020751 Loss_G: 0.030102 Loss_D_real: -0.027501 Loss_D_fake -0.006750
[1325/5000][385/535][136733] Loss_D: -0.020137 Loss_G: 0.005445 Loss_D_real: -0.015011 Loss_D_fake 0.005126
[1325/5000][390/535][136734] Loss_D: -0.017227 Loss_G: 0.027628 Loss_D_real: -0.030243 Loss_D_fake -0.013016
[1325/5000][395/535][136735] Loss_D: -0.019291 Loss_G: -0.007219 Loss_D_real: -0.003424 Loss_D_fake 0.015866
[1325/5000][400/535][136736] Loss_D: -0.020402 Loss_G: 0.005283 Loss_D_real: -0.010989 Loss_D_fake 0.009413
[1325/5000][405/535][136737] Loss_D: -0.020471 Loss_G: 0.009740 Loss_D_real: -0.013924 Loss_D_fake 0.006548
[1325/5000][410/535][136738] Loss_D: -0.019521 Loss_G: 0.006674 Loss_D_real: -0.006371 Loss_D_fake 0.013150
[1325/5000][415/535][136739] Loss_D: -0.020197 Loss_G: 0.027343 Loss_D_real: -0.018376 Loss_D_fake 0.001821
[1325/5000][420/535][136740] Loss_D: -0.019091 Loss_G: 0.024269 Loss_D_real: -0.023855 Loss_D_fake -0.004764
[1325/5000][425/535][136741] Loss_D: -0.018637 Loss_G: 0.005831 Loss_D_real: -0.000997 Loss_D_fake 0.017640
[1325/5000][430/535][136742] Loss_D: -0.019805 Loss_G: -0.011693 Loss_D_real: -0.007858 Loss_D_fake 0.011946
[1325/5000][435/535][136743] Loss_D: -0.019597 Loss_G: 0.014367 Loss_D_real: -0.031162 Loss_D_fake -0.011565
[1325/5000][440/535][136744] Loss_D: -0.019988 Loss_G: 0.004901 Loss_D_real: -0.012949 Loss_D_fake 0.007039
[1325/5000][445/535][136745] Loss_D: -0.018694 Loss_G: 0.022308 Loss_D_real: -0.028090 Loss_D_fake -0.009396
[1325/5000][450/535][136746] Loss_D: -0.020372 Loss_G: -0.005270 Loss_D_real: -0.011325 Loss_D_fake 0.009047
[1325/5000][455/535][136747] Loss_D: -0.018909 Loss_G: 0.018784 Loss_D_real: -0.020611 Loss_D_fake -0.001702
[1325/5000][460/535][136748] Loss_D: -0.020440 Loss_G: 0.006336 Loss_D_real: -0.007747 Loss_D_fake 0.012693
[1325/5000][465/535][136749] Loss_D: -0.020018 Loss_G: 0.002076 Loss_D_real: -0.001235 Loss_D_fake 0.018782
[1325/5000][470/535][136750] Loss_D: -0.019657 Loss_G: 0.010121 Loss_D_real: -0.006622 Loss_D_fake 0.013035
[1325/5000][475/535][136751] Loss_D: -0.019140 Loss_G: -0.002542 Loss_D_real: 0.007319 Loss_D_fake 0.026458
[1325/5000][480/535][136752] Loss_D: -0.017641 Loss_G: 0.014278 Loss_D_real: -0.020544 Loss_D_fake -0.002903
[1325/5000][485/535][136753] Loss_D: -0.019650 Loss_G: -0.004313 Loss_D_real: 0.004918 Loss_D_fake 0.024569
[1325/5000][490/535][136754] Loss_D: -0.019655 Loss_G: 0.002025 Loss_D_real: -0.018702 Loss_D_fake 0.000953
[1325/5000][495/535][136755] Loss_D: -0.019589 Loss_G: 0.018121 Loss_D_real: -0.029843 Loss_D_fake -0.010254
[1325/5000][500/535][136756] Loss_D: -0.019471 Loss_G: 0.001913 Loss_D_real: -0.018743 Loss_D_fake 0.000728
[1325/5000][505/535][136757] Loss_D: -0.019129 Loss_G: -0.002380 Loss_D_real: 0.004753 Loss_D_fake 0.023882
[1325/5000][510/535][136758] Loss_D: -0.018302 Loss_G: -0.011864 Loss_D_real: 0.002231 Loss_D_fake 0.020533
[1325/5000][515/535][136759] Loss_D: -0.019146 Loss_G: 0.005127 Loss_D_real: -0.015367 Loss_D_fake 0.003779
[1325/5000][520/535][136760] Loss_D: -0.021331 Loss_G: 0.011748 Loss_D_real: -0.008796 Loss_D_fake 0.012535
[1325/5000][525/535][136761] Loss_D: -0.020467 Loss_G: 0.020707 Loss_D_real: -0.009355 Loss_D_fake 0.011111
[1325/5000][530/535][136762] Loss_D: -0.020285 Loss_G: 0.009258 Loss_D_real: -0.020387 Loss_D_fake -0.000103
[1325/5000][535/535][136763] Loss_D: -0.021486 Loss_G: -0.001310 Loss_D_real: -0.026039 Loss_D_fake -0.004553
[1326/5000][5/535][136764] Loss_D: -0.018124 Loss_G: 0.028413 Loss_D_real: -0.015945 Loss_D_fake 0.002179
[1326/5000][10/535][136765] Loss_D: -0.020268 Loss_G: 0.011500 Loss_D_real: -0.006909 Loss_D_fake 0.013359
[1326/5000][15/535][136766] Loss_D: -0.018366 Loss_G: -0.017217 Loss_D_real: -0.001612 Loss_D_fake 0.016753
[1326/5000][20/535][136767] Loss_D: -0.020766 Loss_G: 0.018398 Loss_D_real: -0.022496 Loss_D_fake -0.001730
[1326/5000][25/535][136768] Loss_D: -0.018976 Loss_G: -0.002683 Loss_D_real: -0.019380 Loss_D_fake -0.000404
[1326/5000][30/535][136769] Loss_D: -0.018645 Loss_G: -0.006532 Loss_D_real: 0.004268 Loss_D_fake 0.022912
[1326/5000][35/535][136770] Loss_D: -0.017970 Loss_G: 0.007002 Loss_D_real: -0.016086 Loss_D_fake 0.001884
[1326/5000][40/535][136771] Loss_D: -0.019379 Loss_G: 0.014935 Loss_D_real: -0.015361 Loss_D_fake 0.004018
[1326/5000][45/535][136772] Loss_D: -0.020367 Loss_G: 0.003204 Loss_D_real: 0.004883 Loss_D_fake 0.025249
[1326/5000][50/535][136773] Loss_D: -0.019889 Loss_G: 0.006058 Loss_D_real: -0.016489 Loss_D_fake 0.003400
[1326/5000][55/535][136774] Loss_D: -0.019185 Loss_G: 0.016888 Loss_D_real: -0.028051 Loss_D_fake -0.008866
[1326/5000][60/535][136775] Loss_D: -0.018355 Loss_G: 0.008987 Loss_D_real: -0.013297 Loss_D_fake 0.005058
[1326/5000][65/535][136776] Loss_D: -0.019749 Loss_G: 0.014025 Loss_D_real: -0.014992 Loss_D_fake 0.004758
[1326/5000][70/535][136777] Loss_D: -0.020953 Loss_G: 0.018292 Loss_D_real: -0.016778 Loss_D_fake 0.004175
[1326/5000][75/535][136778] Loss_D: -0.018625 Loss_G: -0.011546 Loss_D_real: -0.003578 Loss_D_fake 0.015047
[1326/5000][80/535][136779] Loss_D: -0.017899 Loss_G: 0.020568 Loss_D_real: -0.021183 Loss_D_fake -0.003285
[1326/5000][85/535][136780] Loss_D: -0.019797 Loss_G: -0.000557 Loss_D_real: -0.019217 Loss_D_fake 0.000580
[1326/5000][90/535][136781] Loss_D: -0.019940 Loss_G: 0.008743 Loss_D_real: -0.016704 Loss_D_fake 0.003236
[1326/5000][95/535][136782] Loss_D: -0.020624 Loss_G: 0.003743 Loss_D_real: -0.009292 Loss_D_fake 0.011332
[1326/5000][100/535][136783] Loss_D: -0.019669 Loss_G: 0.010931 Loss_D_real: -0.013263 Loss_D_fake 0.006406
[1326/5000][105/535][136784] Loss_D: -0.020163 Loss_G: 0.008791 Loss_D_real: -0.007386 Loss_D_fake 0.012778
[1326/5000][110/535][136785] Loss_D: -0.020415 Loss_G: 0.007395 Loss_D_real: -0.015244 Loss_D_fake 0.005171
[1326/5000][115/535][136786] Loss_D: -0.018179 Loss_G: -0.023440 Loss_D_real: 0.013561 Loss_D_fake 0.031740
[1326/5000][120/535][136787] Loss_D: -0.020292 Loss_G: 0.031141 Loss_D_real: -0.019870 Loss_D_fake 0.000422
[1326/5000][125/535][136788] Loss_D: -0.019354 Loss_G: -0.003601 Loss_D_real: -0.009084 Loss_D_fake 0.010270
[1326/5000][130/535][136789] Loss_D: -0.018339 Loss_G: 0.012539 Loss_D_real: -0.006818 Loss_D_fake 0.011521
[1326/5000][135/535][136790] Loss_D: -0.018872 Loss_G: 0.025826 Loss_D_real: -0.017460 Loss_D_fake 0.001411
[1326/5000][140/535][136791] Loss_D: -0.019983 Loss_G: 0.000371 Loss_D_real: -0.005462 Loss_D_fake 0.014521
[1326/5000][145/535][136792] Loss_D: -0.019268 Loss_G: 0.002771 Loss_D_real: -0.019615 Loss_D_fake -0.000348
[1326/5000][150/535][136793] Loss_D: -0.018895 Loss_G: 0.013556 Loss_D_real: -0.008824 Loss_D_fake 0.010070
[1326/5000][155/535][136794] Loss_D: -0.019928 Loss_G: 0.005028 Loss_D_real: -0.012458 Loss_D_fake 0.007470
[1326/5000][160/535][136795] Loss_D: -0.018540 Loss_G: 0.024255 Loss_D_real: -0.028268 Loss_D_fake -0.009728
[1326/5000][165/535][136796] Loss_D: -0.019552 Loss_G: -0.004340 Loss_D_real: 0.000147 Loss_D_fake 0.019698
[1326/5000][170/535][136797] Loss_D: -0.018659 Loss_G: 0.027951 Loss_D_real: -0.021698 Loss_D_fake -0.003039
[1326/5000][175/535][136798] Loss_D: -0.020704 Loss_G: -0.001401 Loss_D_real: -0.008360 Loss_D_fake 0.012344
[1326/5000][180/535][136799] Loss_D: -0.019859 Loss_G: 0.011024 Loss_D_real: -0.004792 Loss_D_fake 0.015068
[1326/5000][185/535][136800] Loss_D: -0.020619 Loss_G: 0.012082 Loss_D_real: -0.019527 Loss_D_fake 0.001092
[1326/5000][190/535][136801] Loss_D: -0.020714 Loss_G: 0.016363 Loss_D_real: -0.017514 Loss_D_fake 0.003200
[1326/5000][195/535][136802] Loss_D: -0.020102 Loss_G: 0.017279 Loss_D_real: -0.027613 Loss_D_fake -0.007510
[1326/5000][200/535][136803] Loss_D: -0.019813 Loss_G: 0.020282 Loss_D_real: -0.028845 Loss_D_fake -0.009032
[1326/5000][205/535][136804] Loss_D: -0.019587 Loss_G: 0.013772 Loss_D_real: -0.017528 Loss_D_fake 0.002059
[1326/5000][210/535][136805] Loss_D: -0.020840 Loss_G: -0.000378 Loss_D_real: -0.018957 Loss_D_fake 0.001883
[1326/5000][215/535][136806] Loss_D: -0.020219 Loss_G: 0.009844 Loss_D_real: -0.012337 Loss_D_fake 0.007883
[1326/5000][220/535][136807] Loss_D: -0.019610 Loss_G: -0.003032 Loss_D_real: -0.013362 Loss_D_fake 0.006248
[1326/5000][225/535][136808] Loss_D: -0.019940 Loss_G: 0.005433 Loss_D_real: -0.009966 Loss_D_fake 0.009974
[1326/5000][230/535][136809] Loss_D: -0.020251 Loss_G: 0.004330 Loss_D_real: -0.010998 Loss_D_fake 0.009253
[1326/5000][235/535][136810] Loss_D: -0.019672 Loss_G: 0.006853 Loss_D_real: -0.005539 Loss_D_fake 0.014133
[1326/5000][240/535][136811] Loss_D: -0.019300 Loss_G: 0.031500 Loss_D_real: -0.025585 Loss_D_fake -0.006285
[1326/5000][245/535][136812] Loss_D: -0.019952 Loss_G: 0.005127 Loss_D_real: -0.022073 Loss_D_fake -0.002121
[1326/5000][250/535][136813] Loss_D: -0.019860 Loss_G: 0.021398 Loss_D_real: -0.019358 Loss_D_fake 0.000503
[1326/5000][255/535][136814] Loss_D: -0.019183 Loss_G: 0.008526 Loss_D_real: -0.005898 Loss_D_fake 0.013285
[1326/5000][260/535][136815] Loss_D: -0.019286 Loss_G: -0.012721 Loss_D_real: -0.012406 Loss_D_fake 0.006881
[1326/5000][265/535][136816] Loss_D: -0.019792 Loss_G: 0.002824 Loss_D_real: -0.007768 Loss_D_fake 0.012024
[1326/5000][270/535][136817] Loss_D: -0.020240 Loss_G: 0.004466 Loss_D_real: -0.019349 Loss_D_fake 0.000891
[1326/5000][275/535][136818] Loss_D: -0.019662 Loss_G: 0.022532 Loss_D_real: -0.011183 Loss_D_fake 0.008479
[1326/5000][280/535][136819] Loss_D: -0.018896 Loss_G: -0.002549 Loss_D_real: -0.014047 Loss_D_fake 0.004849
[1326/5000][285/535][136820] Loss_D: -0.018221 Loss_G: 0.023134 Loss_D_real: -0.019583 Loss_D_fake -0.001361
[1326/5000][290/535][136821] Loss_D: -0.019716 Loss_G: 0.006403 Loss_D_real: -0.012364 Loss_D_fake 0.007352
[1326/5000][295/535][136822] Loss_D: -0.020336 Loss_G: 0.013750 Loss_D_real: -0.015780 Loss_D_fake 0.004556
[1326/5000][300/535][136823] Loss_D: -0.020529 Loss_G: -0.008655 Loss_D_real: -0.000488 Loss_D_fake 0.020041
[1326/5000][305/535][136824] Loss_D: -0.017809 Loss_G: 0.037301 Loss_D_real: -0.027457 Loss_D_fake -0.009648
[1326/5000][310/535][136825] Loss_D: -0.020328 Loss_G: -0.001005 Loss_D_real: -0.001505 Loss_D_fake 0.018823
[1326/5000][315/535][136826] Loss_D: -0.019447 Loss_G: 0.008244 Loss_D_real: -0.022422 Loss_D_fake -0.002975
[1326/5000][320/535][136827] Loss_D: -0.018611 Loss_G: 0.028331 Loss_D_real: -0.024426 Loss_D_fake -0.005816
[1326/5000][325/535][136828] Loss_D: -0.021254 Loss_G: 0.005728 Loss_D_real: -0.017509 Loss_D_fake 0.003744
[1326/5000][330/535][136829] Loss_D: -0.020035 Loss_G: 0.020944 Loss_D_real: -0.013025 Loss_D_fake 0.007010
[1326/5000][335/535][136830] Loss_D: -0.019135 Loss_G: 0.012119 Loss_D_real: -0.013221 Loss_D_fake 0.005915
[1326/5000][340/535][136831] Loss_D: -0.019561 Loss_G: 0.007891 Loss_D_real: -0.020692 Loss_D_fake -0.001131
[1326/5000][345/535][136832] Loss_D: -0.020937 Loss_G: -0.001686 Loss_D_real: -0.006984 Loss_D_fake 0.013952
[1326/5000][350/535][136833] Loss_D: -0.020491 Loss_G: 0.013804 Loss_D_real: -0.007283 Loss_D_fake 0.013208
[1326/5000][355/535][136834] Loss_D: -0.018631 Loss_G: -0.016743 Loss_D_real: -0.003369 Loss_D_fake 0.015262
[1326/5000][360/535][136835] Loss_D: -0.020143 Loss_G: 0.015769 Loss_D_real: -0.025124 Loss_D_fake -0.004980
[1326/5000][365/535][136836] Loss_D: -0.018034 Loss_G: 0.003069 Loss_D_real: -0.013968 Loss_D_fake 0.004066
[1326/5000][370/535][136837] Loss_D: -0.021327 Loss_G: -0.001209 Loss_D_real: -0.010757 Loss_D_fake 0.010570
[1326/5000][375/535][136838] Loss_D: -0.019101 Loss_G: 0.022012 Loss_D_real: -0.017227 Loss_D_fake 0.001875
[1326/5000][380/535][136839] Loss_D: -0.018617 Loss_G: -0.001167 Loss_D_real: 0.000303 Loss_D_fake 0.018919
[1326/5000][385/535][136840] Loss_D: -0.018377 Loss_G: 0.025776 Loss_D_real: -0.029213 Loss_D_fake -0.010836
[1326/5000][390/535][136841] Loss_D: -0.019400 Loss_G: 0.015031 Loss_D_real: -0.020385 Loss_D_fake -0.000985
[1326/5000][395/535][136842] Loss_D: -0.019828 Loss_G: 0.015808 Loss_D_real: -0.013562 Loss_D_fake 0.006267
[1326/5000][400/535][136843] Loss_D: -0.019526 Loss_G: 0.006853 Loss_D_real: -0.002675 Loss_D_fake 0.016851
[1326/5000][405/535][136844] Loss_D: -0.019870 Loss_G: 0.013726 Loss_D_real: -0.015782 Loss_D_fake 0.004088
[1326/5000][410/535][136845] Loss_D: -0.018868 Loss_G: 0.020000 Loss_D_real: -0.023681 Loss_D_fake -0.004813
[1326/5000][415/535][136846] Loss_D: -0.020715 Loss_G: 0.004858 Loss_D_real: -0.012239 Loss_D_fake 0.008476
[1326/5000][420/535][136847] Loss_D: -0.021890 Loss_G: 0.000576 Loss_D_real: -0.014339 Loss_D_fake 0.007551
[1326/5000][425/535][136848] Loss_D: -0.020282 Loss_G: 0.004352 Loss_D_real: -0.005434 Loss_D_fake 0.014848
[1326/5000][430/535][136849] Loss_D: -0.019745 Loss_G: 0.001317 Loss_D_real: -0.005402 Loss_D_fake 0.014343
[1326/5000][435/535][136850] Loss_D: -0.020515 Loss_G: -0.004952 Loss_D_real: -0.019553 Loss_D_fake 0.000961
[1326/5000][440/535][136851] Loss_D: -0.020363 Loss_G: 0.019259 Loss_D_real: -0.015314 Loss_D_fake 0.005049
[1326/5000][445/535][136852] Loss_D: -0.020496 Loss_G: -0.000745 Loss_D_real: -0.008142 Loss_D_fake 0.012354
[1326/5000][450/535][136853] Loss_D: -0.020177 Loss_G: 0.010232 Loss_D_real: -0.015497 Loss_D_fake 0.004680
[1326/5000][455/535][136854] Loss_D: -0.020600 Loss_G: 0.008348 Loss_D_real: -0.006673 Loss_D_fake 0.013927
[1326/5000][460/535][136855] Loss_D: -0.020110 Loss_G: -0.005198 Loss_D_real: 0.001608 Loss_D_fake 0.021718
[1326/5000][465/535][136856] Loss_D: -0.019306 Loss_G: 0.010241 Loss_D_real: -0.009658 Loss_D_fake 0.009648
[1326/5000][470/535][136857] Loss_D: -0.019582 Loss_G: 0.003592 Loss_D_real: -0.008384 Loss_D_fake 0.011198
[1326/5000][475/535][136858] Loss_D: -0.019434 Loss_G: 0.006591 Loss_D_real: -0.017756 Loss_D_fake 0.001678
[1326/5000][480/535][136859] Loss_D: -0.019896 Loss_G: 0.001082 Loss_D_real: -0.013240 Loss_D_fake 0.006656
[1326/5000][485/535][136860] Loss_D: -0.020494 Loss_G: 0.016517 Loss_D_real: -0.027155 Loss_D_fake -0.006661
[1326/5000][490/535][136861] Loss_D: -0.020574 Loss_G: -0.002639 Loss_D_real: -0.003022 Loss_D_fake 0.017552
[1326/5000][495/535][136862] Loss_D: -0.019931 Loss_G: 0.023247 Loss_D_real: -0.006310 Loss_D_fake 0.013621
[1326/5000][500/535][136863] Loss_D: -0.020160 Loss_G: 0.009366 Loss_D_real: -0.003960 Loss_D_fake 0.016200
[1326/5000][505/535][136864] Loss_D: -0.020625 Loss_G: -0.005885 Loss_D_real: 0.004189 Loss_D_fake 0.024814
[1326/5000][510/535][136865] Loss_D: -0.019241 Loss_G: 0.002978 Loss_D_real: -0.018372 Loss_D_fake 0.000869
[1326/5000][515/535][136866] Loss_D: -0.018729 Loss_G: -0.003199 Loss_D_real: -0.002015 Loss_D_fake 0.016714
[1326/5000][520/535][136867] Loss_D: -0.018285 Loss_G: -0.007728 Loss_D_real: 0.002115 Loss_D_fake 0.020401
[1326/5000][525/535][136868] Loss_D: -0.020136 Loss_G: 0.000965 Loss_D_real: 0.001760 Loss_D_fake 0.021896
[1326/5000][530/535][136869] Loss_D: -0.019339 Loss_G: 0.022017 Loss_D_real: -0.014828 Loss_D_fake 0.004510
[1326/5000][535/535][136870] Loss_D: -0.017922 Loss_G: 0.031609 Loss_D_real: -0.021411 Loss_D_fake -0.003489
[1327/5000][5/535][136871] Loss_D: -0.019584 Loss_G: -0.001416 Loss_D_real: -0.004286 Loss_D_fake 0.015298
[1327/5000][10/535][136872] Loss_D: -0.018973 Loss_G: 0.017300 Loss_D_real: -0.017887 Loss_D_fake 0.001087
[1327/5000][15/535][136873] Loss_D: -0.020384 Loss_G: 0.013063 Loss_D_real: -0.013943 Loss_D_fake 0.006442
[1327/5000][20/535][136874] Loss_D: -0.020630 Loss_G: 0.008439 Loss_D_real: -0.003364 Loss_D_fake 0.017265
[1327/5000][25/535][136875] Loss_D: -0.018643 Loss_G: 0.025223 Loss_D_real: -0.023396 Loss_D_fake -0.004753
[1327/5000][30/535][136876] Loss_D: -0.020039 Loss_G: -0.006094 Loss_D_real: -0.005444 Loss_D_fake 0.014595
[1327/5000][35/535][136877] Loss_D: -0.019809 Loss_G: 0.011855 Loss_D_real: -0.019368 Loss_D_fake 0.000441
[1327/5000][40/535][136878] Loss_D: -0.019450 Loss_G: 0.010604 Loss_D_real: -0.011497 Loss_D_fake 0.007954
[1327/5000][45/535][136879] Loss_D: -0.018039 Loss_G: 0.021293 Loss_D_real: -0.018444 Loss_D_fake -0.000405
[1327/5000][50/535][136880] Loss_D: -0.020267 Loss_G: 0.012772 Loss_D_real: -0.019643 Loss_D_fake 0.000624
[1327/5000][55/535][136881] Loss_D: -0.021816 Loss_G: 0.003738 Loss_D_real: 0.008693 Loss_D_fake 0.030509
[1327/5000][60/535][136882] Loss_D: -0.020067 Loss_G: 0.014699 Loss_D_real: -0.021068 Loss_D_fake -0.001001
[1327/5000][65/535][136883] Loss_D: -0.020994 Loss_G: 0.006191 Loss_D_real: -0.030004 Loss_D_fake -0.009010
[1327/5000][70/535][136884] Loss_D: -0.019640 Loss_G: 0.025691 Loss_D_real: -0.027126 Loss_D_fake -0.007486
[1327/5000][75/535][136885] Loss_D: -0.020274 Loss_G: -0.001654 Loss_D_real: -0.014192 Loss_D_fake 0.006082
[1327/5000][80/535][136886] Loss_D: -0.018792 Loss_G: -0.000129 Loss_D_real: 0.006335 Loss_D_fake 0.025127
[1327/5000][85/535][136887] Loss_D: -0.020197 Loss_G: 0.016339 Loss_D_real: -0.020129 Loss_D_fake 0.000069
[1327/5000][90/535][136888] Loss_D: -0.020432 Loss_G: 0.013114 Loss_D_real: -0.026337 Loss_D_fake -0.005906
[1327/5000][95/535][136889] Loss_D: -0.019523 Loss_G: -0.004933 Loss_D_real: -0.008153 Loss_D_fake 0.011370
[1327/5000][100/535][136890] Loss_D: -0.020990 Loss_G: 0.019507 Loss_D_real: -0.016090 Loss_D_fake 0.004900
[1327/5000][105/535][136891] Loss_D: -0.019230 Loss_G: 0.022361 Loss_D_real: -0.013406 Loss_D_fake 0.005823
[1327/5000][110/535][136892] Loss_D: -0.019583 Loss_G: -0.010594 Loss_D_real: -0.004211 Loss_D_fake 0.015373
[1327/5000][115/535][136893] Loss_D: -0.019381 Loss_G: 0.001847 Loss_D_real: -0.008487 Loss_D_fake 0.010894
[1327/5000][120/535][136894] Loss_D: -0.021778 Loss_G: 0.007466 Loss_D_real: -0.021157 Loss_D_fake 0.000621
[1327/5000][125/535][136895] Loss_D: -0.019717 Loss_G: 0.020661 Loss_D_real: -0.033982 Loss_D_fake -0.014265
[1327/5000][130/535][136896] Loss_D: -0.017787 Loss_G: 0.029832 Loss_D_real: -0.041704 Loss_D_fake -0.023917
[1327/5000][135/535][136897] Loss_D: -0.019824 Loss_G: 0.002289 Loss_D_real: 0.000375 Loss_D_fake 0.020199
[1327/5000][140/535][136898] Loss_D: -0.019737 Loss_G: -0.008861 Loss_D_real: -0.001769 Loss_D_fake 0.017968
[1327/5000][145/535][136899] Loss_D: -0.019873 Loss_G: -0.001764 Loss_D_real: 0.003986 Loss_D_fake 0.023858
[1327/5000][150/535][136900] Loss_D: -0.019305 Loss_G: 0.005508 Loss_D_real: -0.008773 Loss_D_fake 0.010532
[1327/5000][155/535][136901] Loss_D: -0.020016 Loss_G: 0.011030 Loss_D_real: -0.010021 Loss_D_fake 0.009995
[1327/5000][160/535][136902] Loss_D: -0.020987 Loss_G: 0.013212 Loss_D_real: -0.008002 Loss_D_fake 0.012985
[1327/5000][165/535][136903] Loss_D: -0.020653 Loss_G: 0.001460 Loss_D_real: -0.014861 Loss_D_fake 0.005792
[1327/5000][170/535][136904] Loss_D: -0.020990 Loss_G: 0.011431 Loss_D_real: -0.007855 Loss_D_fake 0.013135
[1327/5000][175/535][136905] Loss_D: -0.020270 Loss_G: 0.000867 Loss_D_real: -0.005306 Loss_D_fake 0.014963
[1327/5000][180/535][136906] Loss_D: -0.019443 Loss_G: 0.003773 Loss_D_real: -0.002936 Loss_D_fake 0.016507
[1327/5000][185/535][136907] Loss_D: -0.019279 Loss_G: 0.023310 Loss_D_real: -0.015625 Loss_D_fake 0.003654
[1327/5000][190/535][136908] Loss_D: -0.019919 Loss_G: 0.001550 Loss_D_real: -0.009508 Loss_D_fake 0.010411
[1327/5000][195/535][136909] Loss_D: -0.019382 Loss_G: 0.008360 Loss_D_real: -0.016581 Loss_D_fake 0.002801
[1327/5000][200/535][136910] Loss_D: -0.020076 Loss_G: 0.024562 Loss_D_real: -0.020624 Loss_D_fake -0.000548
[1327/5000][205/535][136911] Loss_D: -0.018269 Loss_G: 0.017556 Loss_D_real: -0.027448 Loss_D_fake -0.009180
[1327/5000][210/535][136912] Loss_D: -0.019645 Loss_G: 0.026729 Loss_D_real: -0.018087 Loss_D_fake 0.001558
[1327/5000][215/535][136913] Loss_D: -0.021018 Loss_G: 0.001543 Loss_D_real: -0.025544 Loss_D_fake -0.004526
[1327/5000][220/535][136914] Loss_D: -0.019357 Loss_G: 0.024641 Loss_D_real: -0.022149 Loss_D_fake -0.002791
[1327/5000][225/535][136915] Loss_D: -0.018873 Loss_G: -0.003770 Loss_D_real: -0.022104 Loss_D_fake -0.003231
[1327/5000][230/535][136916] Loss_D: -0.020657 Loss_G: 0.022982 Loss_D_real: -0.020252 Loss_D_fake 0.000406
[1327/5000][235/535][136917] Loss_D: -0.019935 Loss_G: 0.004993 Loss_D_real: -0.018367 Loss_D_fake 0.001568
[1327/5000][240/535][136918] Loss_D: -0.019874 Loss_G: 0.011307 Loss_D_real: -0.012886 Loss_D_fake 0.006989
[1327/5000][245/535][136919] Loss_D: -0.021005 Loss_G: 0.004401 Loss_D_real: -0.005411 Loss_D_fake 0.015595
[1327/5000][250/535][136920] Loss_D: -0.019544 Loss_G: -0.005736 Loss_D_real: -0.021615 Loss_D_fake -0.002071
[1327/5000][255/535][136921] Loss_D: -0.020744 Loss_G: 0.014372 Loss_D_real: -0.012537 Loss_D_fake 0.008207
[1327/5000][260/535][136922] Loss_D: -0.020643 Loss_G: 0.003224 Loss_D_real: -0.001596 Loss_D_fake 0.019047
[1327/5000][265/535][136923] Loss_D: -0.020483 Loss_G: -0.001515 Loss_D_real: -0.022231 Loss_D_fake -0.001748
[1327/5000][270/535][136924] Loss_D: -0.021048 Loss_G: 0.005351 Loss_D_real: -0.011194 Loss_D_fake 0.009854
[1327/5000][275/535][136925] Loss_D: -0.019762 Loss_G: -0.006400 Loss_D_real: -0.006195 Loss_D_fake 0.013567
[1327/5000][280/535][136926] Loss_D: -0.019713 Loss_G: 0.014933 Loss_D_real: -0.016633 Loss_D_fake 0.003080
[1327/5000][285/535][136927] Loss_D: -0.019700 Loss_G: 0.016123 Loss_D_real: -0.014303 Loss_D_fake 0.005397
[1327/5000][290/535][136928] Loss_D: -0.019892 Loss_G: -0.002563 Loss_D_real: -0.010166 Loss_D_fake 0.009726
[1327/5000][295/535][136929] Loss_D: -0.019714 Loss_G: -0.009681 Loss_D_real: -0.006740 Loss_D_fake 0.012974
[1327/5000][300/535][136930] Loss_D: -0.020630 Loss_G: 0.006591 Loss_D_real: -0.009845 Loss_D_fake 0.010786
[1327/5000][305/535][136931] Loss_D: -0.018826 Loss_G: 0.015979 Loss_D_real: -0.023719 Loss_D_fake -0.004894
[1327/5000][310/535][136932] Loss_D: -0.019808 Loss_G: 0.002599 Loss_D_real: 0.006557 Loss_D_fake 0.026366
[1327/5000][315/535][136933] Loss_D: -0.020889 Loss_G: -0.001087 Loss_D_real: -0.003127 Loss_D_fake 0.017762
[1327/5000][320/535][136934] Loss_D: -0.017727 Loss_G: 0.027570 Loss_D_real: -0.032557 Loss_D_fake -0.014830
[1327/5000][325/535][136935] Loss_D: -0.019991 Loss_G: 0.009091 Loss_D_real: -0.012093 Loss_D_fake 0.007898
[1327/5000][330/535][136936] Loss_D: -0.020510 Loss_G: 0.007322 Loss_D_real: -0.024120 Loss_D_fake -0.003610
[1327/5000][335/535][136937] Loss_D: -0.019899 Loss_G: 0.013754 Loss_D_real: -0.029884 Loss_D_fake -0.009985
[1327/5000][340/535][136938] Loss_D: -0.020418 Loss_G: 0.007334 Loss_D_real: -0.006008 Loss_D_fake 0.014411
[1327/5000][345/535][136939] Loss_D: -0.021839 Loss_G: 0.011424 Loss_D_real: -0.006472 Loss_D_fake 0.015367
[1327/5000][350/535][136940] Loss_D: -0.020700 Loss_G: 0.017469 Loss_D_real: -0.011544 Loss_D_fake 0.009156
[1327/5000][355/535][136941] Loss_D: -0.019066 Loss_G: -0.011540 Loss_D_real: 0.009687 Loss_D_fake 0.028753
[1327/5000][360/535][136942] Loss_D: -0.019256 Loss_G: 0.002620 Loss_D_real: -0.014433 Loss_D_fake 0.004823
[1327/5000][365/535][136943] Loss_D: -0.019476 Loss_G: 0.008494 Loss_D_real: -0.006387 Loss_D_fake 0.013089
[1327/5000][370/535][136944] Loss_D: -0.019523 Loss_G: -0.011679 Loss_D_real: -0.002859 Loss_D_fake 0.016664
[1327/5000][375/535][136945] Loss_D: -0.019327 Loss_G: -0.007492 Loss_D_real: -0.010931 Loss_D_fake 0.008396
[1327/5000][380/535][136946] Loss_D: -0.017796 Loss_G: 0.019894 Loss_D_real: -0.031865 Loss_D_fake -0.014069
[1327/5000][385/535][136947] Loss_D: -0.020300 Loss_G: 0.009860 Loss_D_real: -0.013373 Loss_D_fake 0.006928
[1327/5000][390/535][136948] Loss_D: -0.019319 Loss_G: 0.015110 Loss_D_real: -0.027320 Loss_D_fake -0.008002
[1327/5000][395/535][136949] Loss_D: -0.021855 Loss_G: 0.017910 Loss_D_real: -0.014312 Loss_D_fake 0.007543
[1327/5000][400/535][136950] Loss_D: -0.019787 Loss_G: 0.011359 Loss_D_real: -0.006421 Loss_D_fake 0.013367
[1327/5000][405/535][136951] Loss_D: -0.020142 Loss_G: 0.009240 Loss_D_real: -0.011519 Loss_D_fake 0.008624
[1327/5000][410/535][136952] Loss_D: -0.019516 Loss_G: 0.035583 Loss_D_real: -0.020353 Loss_D_fake -0.000837
[1327/5000][415/535][136953] Loss_D: -0.019508 Loss_G: -0.009651 Loss_D_real: -0.014111 Loss_D_fake 0.005397
[1327/5000][420/535][136954] Loss_D: -0.018556 Loss_G: 0.007436 Loss_D_real: -0.028259 Loss_D_fake -0.009703
[1327/5000][425/535][136955] Loss_D: -0.019881 Loss_G: 0.014884 Loss_D_real: -0.018956 Loss_D_fake 0.000925
[1327/5000][430/535][136956] Loss_D: -0.020503 Loss_G: 0.007157 Loss_D_real: -0.015177 Loss_D_fake 0.005326
[1327/5000][435/535][136957] Loss_D: -0.020161 Loss_G: 0.007480 Loss_D_real: -0.001670 Loss_D_fake 0.018491
[1327/5000][440/535][136958] Loss_D: -0.019251 Loss_G: 0.008718 Loss_D_real: -0.021422 Loss_D_fake -0.002171
[1327/5000][445/535][136959] Loss_D: -0.021307 Loss_G: 0.007399 Loss_D_real: -0.018994 Loss_D_fake 0.002313
[1327/5000][450/535][136960] Loss_D: -0.020431 Loss_G: 0.011803 Loss_D_real: -0.026512 Loss_D_fake -0.006081
[1327/5000][455/535][136961] Loss_D: -0.020692 Loss_G: 0.023967 Loss_D_real: -0.024650 Loss_D_fake -0.003958
[1327/5000][460/535][136962] Loss_D: -0.019447 Loss_G: -0.012740 Loss_D_real: 0.002703 Loss_D_fake 0.022150
[1327/5000][465/535][136963] Loss_D: -0.018846 Loss_G: 0.010875 Loss_D_real: -0.018547 Loss_D_fake 0.000299
[1327/5000][470/535][136964] Loss_D: -0.021270 Loss_G: 0.009148 Loss_D_real: -0.014474 Loss_D_fake 0.006795
[1327/5000][475/535][136965] Loss_D: -0.018692 Loss_G: 0.016947 Loss_D_real: -0.017280 Loss_D_fake 0.001412
[1327/5000][480/535][136966] Loss_D: -0.019697 Loss_G: 0.008441 Loss_D_real: -0.010855 Loss_D_fake 0.008842
[1327/5000][485/535][136967] Loss_D: -0.019133 Loss_G: 0.016327 Loss_D_real: -0.021677 Loss_D_fake -0.002544
[1327/5000][490/535][136968] Loss_D: -0.019478 Loss_G: 0.010477 Loss_D_real: -0.015608 Loss_D_fake 0.003870
[1327/5000][495/535][136969] Loss_D: -0.019984 Loss_G: 0.001181 Loss_D_real: -0.002807 Loss_D_fake 0.017177
[1327/5000][500/535][136970] Loss_D: -0.019110 Loss_G: 0.002844 Loss_D_real: -0.010459 Loss_D_fake 0.008651
[1327/5000][505/535][136971] Loss_D: -0.021209 Loss_G: 0.017151 Loss_D_real: -0.019108 Loss_D_fake 0.002101
[1327/5000][510/535][136972] Loss_D: -0.020132 Loss_G: 0.006831 Loss_D_real: 0.002674 Loss_D_fake 0.022806
[1327/5000][515/535][136973] Loss_D: -0.018219 Loss_G: 0.018712 Loss_D_real: -0.020621 Loss_D_fake -0.002402
[1327/5000][520/535][136974] Loss_D: -0.018767 Loss_G: -0.010636 Loss_D_real: 0.002899 Loss_D_fake 0.021667
[1327/5000][525/535][136975] Loss_D: -0.019263 Loss_G: 0.029481 Loss_D_real: -0.028442 Loss_D_fake -0.009179
[1327/5000][530/535][136976] Loss_D: -0.021212 Loss_G: -0.006759 Loss_D_real: -0.006896 Loss_D_fake 0.014316
[1327/5000][535/535][136977] Loss_D: -0.016593 Loss_G: 0.011441 Loss_D_real: 0.005830 Loss_D_fake 0.022423
[1328/5000][5/535][136978] Loss_D: -0.019915 Loss_G: 0.023587 Loss_D_real: -0.018183 Loss_D_fake 0.001732
[1328/5000][10/535][136979] Loss_D: -0.019893 Loss_G: 0.009158 Loss_D_real: -0.012843 Loss_D_fake 0.007049
[1328/5000][15/535][136980] Loss_D: -0.019436 Loss_G: 0.014735 Loss_D_real: -0.015783 Loss_D_fake 0.003653
[1328/5000][20/535][136981] Loss_D: -0.021499 Loss_G: 0.014822 Loss_D_real: -0.018747 Loss_D_fake 0.002752
[1328/5000][25/535][136982] Loss_D: -0.021231 Loss_G: -0.003964 Loss_D_real: -0.012526 Loss_D_fake 0.008706
[1328/5000][30/535][136983] Loss_D: -0.020949 Loss_G: -0.005129 Loss_D_real: -0.018769 Loss_D_fake 0.002181
[1328/5000][35/535][136984] Loss_D: -0.019549 Loss_G: -0.005963 Loss_D_real: -0.001416 Loss_D_fake 0.018132
[1328/5000][40/535][136985] Loss_D: -0.021358 Loss_G: 0.015950 Loss_D_real: -0.001327 Loss_D_fake 0.020031
[1328/5000][45/535][136986] Loss_D: -0.020269 Loss_G: 0.027244 Loss_D_real: -0.012768 Loss_D_fake 0.007500
[1328/5000][50/535][136987] Loss_D: -0.018883 Loss_G: 0.007101 Loss_D_real: -0.011235 Loss_D_fake 0.007649
[1328/5000][55/535][136988] Loss_D: -0.019422 Loss_G: 0.002550 Loss_D_real: 0.001600 Loss_D_fake 0.021021
[1328/5000][60/535][136989] Loss_D: -0.019256 Loss_G: 0.007878 Loss_D_real: -0.025743 Loss_D_fake -0.006488
[1328/5000][65/535][136990] Loss_D: -0.019507 Loss_G: -0.004263 Loss_D_real: -0.003653 Loss_D_fake 0.015855
[1328/5000][70/535][136991] Loss_D: -0.020591 Loss_G: -0.001834 Loss_D_real: -0.006611 Loss_D_fake 0.013981
[1328/5000][75/535][136992] Loss_D: -0.018509 Loss_G: 0.012934 Loss_D_real: -0.016011 Loss_D_fake 0.002498
[1328/5000][80/535][136993] Loss_D: -0.020542 Loss_G: 0.010627 Loss_D_real: -0.018703 Loss_D_fake 0.001840
[1328/5000][85/535][136994] Loss_D: -0.018790 Loss_G: -0.001248 Loss_D_real: -0.003918 Loss_D_fake 0.014872
[1328/5000][90/535][136995] Loss_D: -0.019430 Loss_G: 0.010717 Loss_D_real: -0.020835 Loss_D_fake -0.001406
[1328/5000][95/535][136996] Loss_D: -0.020255 Loss_G: 0.002658 Loss_D_real: -0.010727 Loss_D_fake 0.009528
[1328/5000][100/535][136997] Loss_D: -0.020042 Loss_G: 0.020955 Loss_D_real: -0.027925 Loss_D_fake -0.007883
[1328/5000][105/535][136998] Loss_D: -0.019311 Loss_G: -0.001628 Loss_D_real: -0.003308 Loss_D_fake 0.016003
[1328/5000][110/535][136999] Loss_D: -0.018966 Loss_G: 0.010168 Loss_D_real: -0.013861 Loss_D_fake 0.005105
[1328/5000][115/535][137000] Loss_D: -0.019999 Loss_G: 0.019095 Loss_D_real: -0.026285 Loss_D_fake -0.006286
[1328/5000][215/535][137001] Loss_D: -0.022458 Loss_G: -0.010976 Loss_D_real: -0.005953 Loss_D_fake 0.016505
[1328/5000][220/535][137002] Loss_D: -0.018771 Loss_G: 0.013094 Loss_D_real: -0.012865 Loss_D_fake 0.005907
[1328/5000][225/535][137003] Loss_D: -0.019916 Loss_G: -0.000763 Loss_D_real: -0.005792 Loss_D_fake 0.014124
[1328/5000][230/535][137004] Loss_D: -0.019090 Loss_G: 0.005305 Loss_D_real: -0.005970 Loss_D_fake 0.013119
[1328/5000][235/535][137005] Loss_D: -0.018377 Loss_G: 0.011368 Loss_D_real: -0.012295 Loss_D_fake 0.006081
[1328/5000][240/535][137006] Loss_D: -0.017682 Loss_G: 0.020001 Loss_D_real: -0.033515 Loss_D_fake -0.015833
[1328/5000][245/535][137007] Loss_D: -0.019296 Loss_G: -0.003842 Loss_D_real: -0.003908 Loss_D_fake 0.015388
[1328/5000][250/535][137008] Loss_D: -0.017863 Loss_G: 0.001573 Loss_D_real: -0.015330 Loss_D_fake 0.002533
[1328/5000][255/535][137009] Loss_D: -0.018688 Loss_G: -0.000863 Loss_D_real: 0.000752 Loss_D_fake 0.019440
[1328/5000][260/535][137010] Loss_D: -0.019568 Loss_G: 0.005632 Loss_D_real: -0.020873 Loss_D_fake -0.001304
[1328/5000][265/535][137011] Loss_D: -0.019149 Loss_G: 0.012470 Loss_D_real: -0.012823 Loss_D_fake 0.006326
[1328/5000][270/535][137012] Loss_D: -0.020070 Loss_G: 0.002315 Loss_D_real: -0.009756 Loss_D_fake 0.010314
[1328/5000][275/535][137013] Loss_D: -0.018319 Loss_G: 0.023573 Loss_D_real: -0.012463 Loss_D_fake 0.005856
[1328/5000][280/535][137014] Loss_D: -0.019723 Loss_G: 0.008640 Loss_D_real: -0.004713 Loss_D_fake 0.015010
[1328/5000][285/535][137015] Loss_D: -0.019509 Loss_G: 0.013735 Loss_D_real: -0.021106 Loss_D_fake -0.001597
[1328/5000][290/535][137016] Loss_D: -0.019976 Loss_G: 0.008595 Loss_D_real: -0.014540 Loss_D_fake 0.005436
[1328/5000][295/535][137017] Loss_D: -0.020097 Loss_G: 0.007079 Loss_D_real: -0.011419 Loss_D_fake 0.008678
[1328/5000][300/535][137018] Loss_D: -0.019474 Loss_G: 0.000012 Loss_D_real: -0.000078 Loss_D_fake 0.019396
[1328/5000][305/535][137019] Loss_D: -0.019837 Loss_G: 0.004516 Loss_D_real: -0.016096 Loss_D_fake 0.003741
[1328/5000][310/535][137020] Loss_D: -0.020509 Loss_G: 0.009670 Loss_D_real: -0.020245 Loss_D_fake 0.000264
[1328/5000][315/535][137021] Loss_D: -0.020356 Loss_G: -0.002466 Loss_D_real: -0.020748 Loss_D_fake -0.000392
[1328/5000][320/535][137022] Loss_D: -0.020169 Loss_G: 0.022014 Loss_D_real: -0.017676 Loss_D_fake 0.002493
[1328/5000][325/535][137023] Loss_D: -0.018511 Loss_G: -0.013253 Loss_D_real: 0.003210 Loss_D_fake 0.021721
[1328/5000][330/535][137024] Loss_D: -0.018783 Loss_G: -0.005383 Loss_D_real: -0.013278 Loss_D_fake 0.005505
[1328/5000][335/535][137025] Loss_D: -0.018872 Loss_G: 0.006939 Loss_D_real: -0.018026 Loss_D_fake 0.000846
[1328/5000][340/535][137026] Loss_D: -0.017908 Loss_G: 0.008696 Loss_D_real: -0.014390 Loss_D_fake 0.003518
[1328/5000][345/535][137027] Loss_D: -0.018509 Loss_G: 0.009898 Loss_D_real: -0.016444 Loss_D_fake 0.002065
[1328/5000][350/535][137028] Loss_D: -0.019032 Loss_G: 0.012656 Loss_D_real: -0.020403 Loss_D_fake -0.001372
[1328/5000][355/535][137029] Loss_D: -0.018728 Loss_G: -0.008246 Loss_D_real: -0.004743 Loss_D_fake 0.013985
[1328/5000][360/535][137030] Loss_D: -0.018318 Loss_G: 0.005592 Loss_D_real: -0.014143 Loss_D_fake 0.004175
[1328/5000][365/535][137031] Loss_D: -0.019394 Loss_G: -0.014071 Loss_D_real: 0.001176 Loss_D_fake 0.020570
[1328/5000][370/535][137032] Loss_D: -0.020075 Loss_G: 0.017693 Loss_D_real: -0.016008 Loss_D_fake 0.004067
[1328/5000][375/535][137033] Loss_D: -0.019149 Loss_G: 0.005814 Loss_D_real: -0.023992 Loss_D_fake -0.004844
[1328/5000][380/535][137034] Loss_D: -0.020316 Loss_G: 0.023727 Loss_D_real: -0.032251 Loss_D_fake -0.011935
[1328/5000][385/535][137035] Loss_D: -0.021884 Loss_G: 0.007168 Loss_D_real: -0.004968 Loss_D_fake 0.016916
[1328/5000][390/535][137036] Loss_D: -0.020037 Loss_G: -0.005917 Loss_D_real: -0.012693 Loss_D_fake 0.007344
[1328/5000][395/535][137037] Loss_D: -0.019672 Loss_G: 0.017153 Loss_D_real: -0.011531 Loss_D_fake 0.008141
[1328/5000][400/535][137038] Loss_D: -0.021313 Loss_G: 0.019879 Loss_D_real: -0.012595 Loss_D_fake 0.008718
[1328/5000][405/535][137039] Loss_D: -0.019005 Loss_G: 0.013213 Loss_D_real: -0.030111 Loss_D_fake -0.011106
[1328/5000][410/535][137040] Loss_D: -0.020392 Loss_G: 0.006645 Loss_D_real: -0.014325 Loss_D_fake 0.006067
[1328/5000][415/535][137041] Loss_D: -0.020054 Loss_G: -0.006524 Loss_D_real: -0.001922 Loss_D_fake 0.018132
[1328/5000][420/535][137042] Loss_D: -0.018417 Loss_G: 0.024364 Loss_D_real: -0.034489 Loss_D_fake -0.016073
[1328/5000][425/535][137043] Loss_D: -0.020351 Loss_G: 0.009336 Loss_D_real: -0.013869 Loss_D_fake 0.006482
[1328/5000][430/535][137044] Loss_D: -0.019107 Loss_G: 0.008284 Loss_D_real: -0.009339 Loss_D_fake 0.009768
[1328/5000][435/535][137045] Loss_D: -0.019878 Loss_G: 0.016984 Loss_D_real: -0.014725 Loss_D_fake 0.005153
[1328/5000][440/535][137046] Loss_D: -0.020315 Loss_G: 0.004423 Loss_D_real: -0.002401 Loss_D_fake 0.017915
[1328/5000][445/535][137047] Loss_D: -0.019383 Loss_G: 0.009054 Loss_D_real: -0.007965 Loss_D_fake 0.011418
[1328/5000][450/535][137048] Loss_D: -0.018728 Loss_G: 0.021780 Loss_D_real: -0.024762 Loss_D_fake -0.006034
[1328/5000][455/535][137049] Loss_D: -0.018404 Loss_G: -0.010208 Loss_D_real: 0.002919 Loss_D_fake 0.021323
[1328/5000][460/535][137050] Loss_D: -0.019297 Loss_G: 0.007567 Loss_D_real: -0.009724 Loss_D_fake 0.009573
[1328/5000][465/535][137051] Loss_D: -0.020570 Loss_G: 0.013914 Loss_D_real: -0.014532 Loss_D_fake 0.006038
[1328/5000][470/535][137052] Loss_D: -0.021339 Loss_G: 0.030000 Loss_D_real: -0.023228 Loss_D_fake -0.001889
[1328/5000][475/535][137053] Loss_D: -0.019783 Loss_G: 0.013322 Loss_D_real: -0.010255 Loss_D_fake 0.009528
[1328/5000][480/535][137054] Loss_D: -0.018032 Loss_G: 0.017576 Loss_D_real: -0.024545 Loss_D_fake -0.006513
[1328/5000][485/535][137055] Loss_D: -0.019487 Loss_G: 0.002768 Loss_D_real: -0.016887 Loss_D_fake 0.002600
[1328/5000][490/535][137056] Loss_D: -0.018154 Loss_G: 0.026910 Loss_D_real: -0.024964 Loss_D_fake -0.006810
[1328/5000][495/535][137057] Loss_D: -0.020218 Loss_G: 0.015052 Loss_D_real: -0.021164 Loss_D_fake -0.000946
[1328/5000][500/535][137058] Loss_D: -0.016563 Loss_G: 0.023496 Loss_D_real: -0.023530 Loss_D_fake -0.006967
[1328/5000][505/535][137059] Loss_D: -0.019984 Loss_G: 0.006356 Loss_D_real: -0.019089 Loss_D_fake 0.000894
[1328/5000][510/535][137060] Loss_D: -0.020301 Loss_G: 0.014093 Loss_D_real: -0.020087 Loss_D_fake 0.000213
[1328/5000][515/535][137061] Loss_D: -0.019962 Loss_G: 0.009026 Loss_D_real: -0.028169 Loss_D_fake -0.008207
[1328/5000][520/535][137062] Loss_D: -0.021431 Loss_G: 0.002504 Loss_D_real: -0.015198 Loss_D_fake 0.006233
[1328/5000][525/535][137063] Loss_D: -0.019481 Loss_G: 0.006527 Loss_D_real: -0.020239 Loss_D_fake -0.000757
[1328/5000][530/535][137064] Loss_D: -0.020336 Loss_G: -0.003657 Loss_D_real: -0.009983 Loss_D_fake 0.010352
[1328/5000][535/535][137065] Loss_D: -0.019521 Loss_G: 0.016765 Loss_D_real: -0.008786 Loss_D_fake 0.010736
[1329/5000][5/535][137066] Loss_D: -0.021893 Loss_G: 0.020631 Loss_D_real: -0.022674 Loss_D_fake -0.000781
[1329/5000][10/535][137067] Loss_D: -0.019684 Loss_G: -0.003122 Loss_D_real: -0.002404 Loss_D_fake 0.017280
[1329/5000][15/535][137068] Loss_D: -0.018782 Loss_G: 0.009817 Loss_D_real: -0.025140 Loss_D_fake -0.006357
[1329/5000][20/535][137069] Loss_D: -0.019612 Loss_G: 0.019956 Loss_D_real: -0.011276 Loss_D_fake 0.008335
[1329/5000][25/535][137070] Loss_D: -0.020168 Loss_G: 0.001274 Loss_D_real: -0.014713 Loss_D_fake 0.005456
[1329/5000][30/535][137071] Loss_D: -0.018499 Loss_G: -0.001934 Loss_D_real: -0.005472 Loss_D_fake 0.013027
[1329/5000][35/535][137072] Loss_D: -0.020331 Loss_G: 0.000362 Loss_D_real: 0.000571 Loss_D_fake 0.020902
[1329/5000][40/535][137073] Loss_D: -0.020829 Loss_G: 0.016567 Loss_D_real: -0.009683 Loss_D_fake 0.011146
[1329/5000][45/535][137074] Loss_D: -0.020072 Loss_G: 0.026778 Loss_D_real: -0.021134 Loss_D_fake -0.001063
[1329/5000][50/535][137075] Loss_D: -0.019824 Loss_G: 0.004803 Loss_D_real: -0.010298 Loss_D_fake 0.009526
[1329/5000][55/535][137076] Loss_D: -0.020305 Loss_G: -0.007158 Loss_D_real: -0.003938 Loss_D_fake 0.016367
[1329/5000][60/535][137077] Loss_D: -0.019794 Loss_G: 0.013013 Loss_D_real: -0.016581 Loss_D_fake 0.003213
[1329/5000][65/535][137078] Loss_D: -0.019259 Loss_G: 0.013311 Loss_D_real: -0.013095 Loss_D_fake 0.006164
[1329/5000][70/535][137079] Loss_D: -0.019521 Loss_G: 0.020091 Loss_D_real: -0.018323 Loss_D_fake 0.001198
[1329/5000][75/535][137080] Loss_D: -0.018563 Loss_G: 0.021698 Loss_D_real: -0.026863 Loss_D_fake -0.008300
[1329/5000][80/535][137081] Loss_D: -0.018686 Loss_G: 0.023116 Loss_D_real: -0.031378 Loss_D_fake -0.012692
[1329/5000][85/535][137082] Loss_D: -0.019637 Loss_G: -0.003429 Loss_D_real: -0.003709 Loss_D_fake 0.015928
[1329/5000][90/535][137083] Loss_D: -0.020094 Loss_G: 0.010781 Loss_D_real: -0.010198 Loss_D_fake 0.009895
[1329/5000][95/535][137084] Loss_D: -0.020311 Loss_G: 0.011227 Loss_D_real: -0.009465 Loss_D_fake 0.010847
[1329/5000][100/535][137085] Loss_D: -0.019531 Loss_G: -0.003355 Loss_D_real: -0.002182 Loss_D_fake 0.017349
[1329/5000][105/535][137086] Loss_D: -0.020199 Loss_G: 0.013299 Loss_D_real: -0.012801 Loss_D_fake 0.007398
[1329/5000][110/535][137087] Loss_D: -0.019583 Loss_G: 0.011041 Loss_D_real: -0.013317 Loss_D_fake 0.006266
[1329/5000][115/535][137088] Loss_D: -0.019774 Loss_G: 0.023672 Loss_D_real: -0.019406 Loss_D_fake 0.000368
[1329/5000][120/535][137089] Loss_D: -0.020216 Loss_G: 0.024943 Loss_D_real: -0.023308 Loss_D_fake -0.003092
[1329/5000][125/535][137090] Loss_D: -0.020812 Loss_G: 0.024340 Loss_D_real: -0.027408 Loss_D_fake -0.006596
[1329/5000][130/535][137091] Loss_D: -0.020741 Loss_G: 0.016190 Loss_D_real: -0.020734 Loss_D_fake 0.000007
[1329/5000][135/535][137092] Loss_D: -0.019405 Loss_G: 0.001145 Loss_D_real: -0.003535 Loss_D_fake 0.015870
[1329/5000][140/535][137093] Loss_D: -0.018667 Loss_G: 0.010178 Loss_D_real: -0.023718 Loss_D_fake -0.005051
[1329/5000][145/535][137094] Loss_D: -0.019546 Loss_G: 0.004272 Loss_D_real: -0.001369 Loss_D_fake 0.018177
[1329/5000][150/535][137095] Loss_D: -0.020819 Loss_G: -0.007071 Loss_D_real: -0.017753 Loss_D_fake 0.003066
[1329/5000][155/535][137096] Loss_D: -0.019448 Loss_G: 0.013467 Loss_D_real: -0.018301 Loss_D_fake 0.001147
[1329/5000][160/535][137097] Loss_D: -0.020049 Loss_G: 0.011826 Loss_D_real: -0.009547 Loss_D_fake 0.010501
[1329/5000][165/535][137098] Loss_D: -0.020658 Loss_G: 0.008294 Loss_D_real: -0.014231 Loss_D_fake 0.006427
[1329/5000][170/535][137099] Loss_D: -0.020626 Loss_G: 0.012198 Loss_D_real: -0.003913 Loss_D_fake 0.016714
[1329/5000][175/535][137100] Loss_D: -0.019308 Loss_G: 0.016900 Loss_D_real: -0.019207 Loss_D_fake 0.000101
[1329/5000][180/535][137101] Loss_D: -0.019397 Loss_G: 0.023502 Loss_D_real: -0.016272 Loss_D_fake 0.003125
[1329/5000][185/535][137102] Loss_D: -0.020666 Loss_G: -0.001744 Loss_D_real: -0.013039 Loss_D_fake 0.007627
[1329/5000][190/535][137103] Loss_D: -0.021309 Loss_G: 0.000176 Loss_D_real: -0.020779 Loss_D_fake 0.000530
[1329/5000][195/535][137104] Loss_D: -0.019892 Loss_G: -0.001117 Loss_D_real: -0.004080 Loss_D_fake 0.015813
[1329/5000][200/535][137105] Loss_D: -0.018997 Loss_G: -0.001798 Loss_D_real: -0.010084 Loss_D_fake 0.008912
[1329/5000][205/535][137106] Loss_D: -0.018034 Loss_G: 0.022991 Loss_D_real: -0.032185 Loss_D_fake -0.014151
[1329/5000][210/535][137107] Loss_D: -0.019867 Loss_G: 0.003386 Loss_D_real: -0.009357 Loss_D_fake 0.010509
[1329/5000][215/535][137108] Loss_D: -0.019546 Loss_G: -0.001981 Loss_D_real: -0.009020 Loss_D_fake 0.010526
[1329/5000][220/535][137109] Loss_D: -0.019712 Loss_G: 0.016621 Loss_D_real: -0.030532 Loss_D_fake -0.010820
[1329/5000][225/535][137110] Loss_D: -0.017684 Loss_G: 0.028208 Loss_D_real: -0.030569 Loss_D_fake -0.012885
[1329/5000][230/535][137111] Loss_D: -0.022251 Loss_G: -0.000784 Loss_D_real: -0.009273 Loss_D_fake 0.012978
[1329/5000][235/535][137112] Loss_D: -0.019635 Loss_G: 0.019000 Loss_D_real: -0.021451 Loss_D_fake -0.001816
[1329/5000][240/535][137113] Loss_D: -0.018800 Loss_G: -0.001398 Loss_D_real: 0.002193 Loss_D_fake 0.020993
[1329/5000][245/535][137114] Loss_D: -0.018867 Loss_G: 0.004870 Loss_D_real: -0.007645 Loss_D_fake 0.011222
[1329/5000][250/535][137115] Loss_D: -0.018608 Loss_G: -0.015818 Loss_D_real: 0.001236 Loss_D_fake 0.019844
[1329/5000][255/535][137116] Loss_D: -0.019911 Loss_G: 0.017310 Loss_D_real: -0.012324 Loss_D_fake 0.007587
[1329/5000][260/535][137117] Loss_D: -0.020845 Loss_G: 0.022828 Loss_D_real: -0.019584 Loss_D_fake 0.001261
[1329/5000][265/535][137118] Loss_D: -0.018732 Loss_G: 0.000191 Loss_D_real: -0.008745 Loss_D_fake 0.009987
[1329/5000][270/535][137119] Loss_D: -0.019323 Loss_G: 0.026619 Loss_D_real: -0.030581 Loss_D_fake -0.011258
[1329/5000][275/535][137120] Loss_D: -0.017482 Loss_G: 0.014343 Loss_D_real: -0.025695 Loss_D_fake -0.008214
[1329/5000][280/535][137121] Loss_D: -0.020586 Loss_G: 0.011597 Loss_D_real: -0.020113 Loss_D_fake 0.000473
[1329/5000][285/535][137122] Loss_D: -0.020515 Loss_G: 0.007379 Loss_D_real: 0.001588 Loss_D_fake 0.022103
[1329/5000][290/535][137123] Loss_D: -0.020345 Loss_G: 0.021016 Loss_D_real: -0.012948 Loss_D_fake 0.007397
[1329/5000][295/535][137124] Loss_D: -0.020230 Loss_G: 0.006227 Loss_D_real: -0.013291 Loss_D_fake 0.006939
[1329/5000][300/535][137125] Loss_D: -0.020535 Loss_G: 0.008291 Loss_D_real: -0.021178 Loss_D_fake -0.000643
[1329/5000][305/535][137126] Loss_D: -0.020293 Loss_G: -0.005486 Loss_D_real: -0.009707 Loss_D_fake 0.010585
[1329/5000][310/535][137127] Loss_D: -0.019948 Loss_G: 0.004256 Loss_D_real: -0.007397 Loss_D_fake 0.012551
[1329/5000][315/535][137128] Loss_D: -0.019626 Loss_G: 0.008473 Loss_D_real: -0.017720 Loss_D_fake 0.001906
[1329/5000][320/535][137129] Loss_D: -0.020038 Loss_G: 0.006597 Loss_D_real: -0.004637 Loss_D_fake 0.015401
[1329/5000][325/535][137130] Loss_D: -0.019959 Loss_G: -0.000075 Loss_D_real: -0.009355 Loss_D_fake 0.010604
[1329/5000][330/535][137131] Loss_D: -0.020675 Loss_G: 0.013819 Loss_D_real: -0.013665 Loss_D_fake 0.007010
[1329/5000][335/535][137132] Loss_D: -0.019817 Loss_G: 0.013646 Loss_D_real: -0.020687 Loss_D_fake -0.000870
[1329/5000][340/535][137133] Loss_D: -0.019908 Loss_G: 0.015553 Loss_D_real: -0.016342 Loss_D_fake 0.003567
[1329/5000][345/535][137134] Loss_D: -0.017564 Loss_G: 0.029910 Loss_D_real: -0.029805 Loss_D_fake -0.012241
[1329/5000][350/535][137135] Loss_D: -0.019406 Loss_G: 0.014105 Loss_D_real: -0.021570 Loss_D_fake -0.002164
[1329/5000][355/535][137136] Loss_D: -0.020157 Loss_G: 0.004554 Loss_D_real: -0.008329 Loss_D_fake 0.011829
[1329/5000][360/535][137137] Loss_D: -0.018625 Loss_G: 0.001608 Loss_D_real: -0.002468 Loss_D_fake 0.016156
[1329/5000][365/535][137138] Loss_D: -0.018069 Loss_G: 0.014098 Loss_D_real: -0.009372 Loss_D_fake 0.008697
[1329/5000][370/535][137139] Loss_D: -0.018501 Loss_G: 0.026589 Loss_D_real: -0.013294 Loss_D_fake 0.005207
[1329/5000][375/535][137140] Loss_D: -0.019300 Loss_G: -0.004197 Loss_D_real: -0.007204 Loss_D_fake 0.012096
[1329/5000][380/535][137141] Loss_D: -0.018741 Loss_G: 0.021328 Loss_D_real: -0.024339 Loss_D_fake -0.005598
[1329/5000][385/535][137142] Loss_D: -0.019368 Loss_G: 0.005177 Loss_D_real: -0.004220 Loss_D_fake 0.015149
[1329/5000][390/535][137143] Loss_D: -0.019439 Loss_G: 0.012954 Loss_D_real: -0.017548 Loss_D_fake 0.001891
[1329/5000][395/535][137144] Loss_D: -0.019145 Loss_G: 0.000151 Loss_D_real: -0.014881 Loss_D_fake 0.004264
[1329/5000][400/535][137145] Loss_D: -0.019306 Loss_G: 0.021232 Loss_D_real: -0.033306 Loss_D_fake -0.014000
[1329/5000][405/535][137146] Loss_D: -0.019413 Loss_G: 0.017989 Loss_D_real: -0.022246 Loss_D_fake -0.002833
[1329/5000][410/535][137147] Loss_D: -0.019729 Loss_G: -0.002241 Loss_D_real: 0.002889 Loss_D_fake 0.022618
[1329/5000][415/535][137148] Loss_D: -0.018855 Loss_G: 0.017720 Loss_D_real: -0.025572 Loss_D_fake -0.006717
[1329/5000][420/535][137149] Loss_D: -0.018845 Loss_G: 0.019509 Loss_D_real: -0.030331 Loss_D_fake -0.011486
[1329/5000][425/535][137150] Loss_D: -0.020165 Loss_G: 0.032984 Loss_D_real: -0.016154 Loss_D_fake 0.004011
[1329/5000][430/535][137151] Loss_D: -0.019075 Loss_G: 0.001105 Loss_D_real: 0.008869 Loss_D_fake 0.027944
[1329/5000][435/535][137152] Loss_D: -0.019382 Loss_G: -0.005085 Loss_D_real: -0.014834 Loss_D_fake 0.004548
[1329/5000][440/535][137153] Loss_D: -0.020679 Loss_G: 0.005118 Loss_D_real: -0.001865 Loss_D_fake 0.018814
[1329/5000][445/535][137154] Loss_D: -0.019709 Loss_G: 0.011740 Loss_D_real: -0.016760 Loss_D_fake 0.002949
[1329/5000][450/535][137155] Loss_D: -0.020287 Loss_G: 0.002695 Loss_D_real: -0.007575 Loss_D_fake 0.012712
[1329/5000][455/535][137156] Loss_D: -0.019794 Loss_G: 0.001394 Loss_D_real: -0.006072 Loss_D_fake 0.013721
[1329/5000][460/535][137157] Loss_D: -0.019557 Loss_G: 0.007123 Loss_D_real: -0.015070 Loss_D_fake 0.004486
[1329/5000][465/535][137158] Loss_D: -0.019635 Loss_G: 0.025304 Loss_D_real: -0.018032 Loss_D_fake 0.001603
[1329/5000][470/535][137159] Loss_D: -0.021175 Loss_G: 0.001507 Loss_D_real: -0.017579 Loss_D_fake 0.003596
[1329/5000][475/535][137160] Loss_D: -0.020332 Loss_G: 0.028533 Loss_D_real: -0.021228 Loss_D_fake -0.000896
[1329/5000][480/535][137161] Loss_D: -0.019400 Loss_G: 0.011462 Loss_D_real: -0.017429 Loss_D_fake 0.001971
[1329/5000][485/535][137162] Loss_D: -0.018092 Loss_G: 0.024401 Loss_D_real: -0.022952 Loss_D_fake -0.004860
[1329/5000][490/535][137163] Loss_D: -0.020088 Loss_G: 0.015589 Loss_D_real: -0.021392 Loss_D_fake -0.001303
[1329/5000][495/535][137164] Loss_D: -0.021411 Loss_G: -0.007636 Loss_D_real: -0.007482 Loss_D_fake 0.013929
[1329/5000][500/535][137165] Loss_D: -0.019544 Loss_G: 0.019040 Loss_D_real: -0.018718 Loss_D_fake 0.000825
[1329/5000][505/535][137166] Loss_D: -0.020524 Loss_G: 0.001301 Loss_D_real: -0.014090 Loss_D_fake 0.006434
[1329/5000][510/535][137167] Loss_D: -0.019743 Loss_G: 0.007262 Loss_D_real: -0.016458 Loss_D_fake 0.003285
[1329/5000][515/535][137168] Loss_D: -0.018982 Loss_G: 0.017347 Loss_D_real: -0.016027 Loss_D_fake 0.002955
[1329/5000][520/535][137169] Loss_D: -0.017060 Loss_G: -0.016317 Loss_D_real: 0.012155 Loss_D_fake 0.029215
[1329/5000][525/535][137170] Loss_D: -0.018764 Loss_G: 0.016256 Loss_D_real: -0.019953 Loss_D_fake -0.001189
[1329/5000][530/535][137171] Loss_D: -0.020369 Loss_G: -0.003013 Loss_D_real: -0.007436 Loss_D_fake 0.012934
[1329/5000][535/535][137172] Loss_D: -0.018127 Loss_G: 0.007851 Loss_D_real: -0.022337 Loss_D_fake -0.004210
[1330/5000][5/535][137173] Loss_D: -0.021404 Loss_G: 0.020765 Loss_D_real: -0.010341 Loss_D_fake 0.011064
[1330/5000][10/535][137174] Loss_D: -0.020327 Loss_G: 0.013458 Loss_D_real: -0.024531 Loss_D_fake -0.004204
[1330/5000][15/535][137175] Loss_D: -0.019691 Loss_G: -0.001376 Loss_D_real: -0.014715 Loss_D_fake 0.004976
[1330/5000][20/535][137176] Loss_D: -0.020023 Loss_G: 0.008699 Loss_D_real: -0.020515 Loss_D_fake -0.000492
[1330/5000][25/535][137177] Loss_D: -0.019580 Loss_G: 0.007887 Loss_D_real: -0.022791 Loss_D_fake -0.003211
[1330/5000][30/535][137178] Loss_D: -0.018542 Loss_G: -0.004969 Loss_D_real: 0.000997 Loss_D_fake 0.019539
[1330/5000][35/535][137179] Loss_D: -0.020039 Loss_G: -0.001330 Loss_D_real: -0.007286 Loss_D_fake 0.012753
[1330/5000][40/535][137180] Loss_D: -0.020077 Loss_G: 0.026926 Loss_D_real: -0.021327 Loss_D_fake -0.001250
[1330/5000][45/535][137181] Loss_D: -0.019580 Loss_G: -0.011152 Loss_D_real: -0.020237 Loss_D_fake -0.000657
[1330/5000][50/535][137182] Loss_D: -0.019553 Loss_G: 0.017791 Loss_D_real: -0.016115 Loss_D_fake 0.003439
[1330/5000][55/535][137183] Loss_D: -0.020808 Loss_G: 0.006005 Loss_D_real: -0.023262 Loss_D_fake -0.002454
[1330/5000][60/535][137184] Loss_D: -0.019326 Loss_G: 0.015563 Loss_D_real: -0.018783 Loss_D_fake 0.000544
[1330/5000][65/535][137185] Loss_D: -0.019950 Loss_G: 0.011326 Loss_D_real: -0.009667 Loss_D_fake 0.010283
[1330/5000][70/535][137186] Loss_D: -0.021501 Loss_G: 0.015939 Loss_D_real: -0.025015 Loss_D_fake -0.003514
[1330/5000][75/535][137187] Loss_D: -0.020080 Loss_G: 0.023964 Loss_D_real: -0.029455 Loss_D_fake -0.009376
[1330/5000][80/535][137188] Loss_D: -0.019934 Loss_G: 0.000525 Loss_D_real: -0.017090 Loss_D_fake 0.002845
[1330/5000][85/535][137189] Loss_D: -0.019656 Loss_G: 0.024505 Loss_D_real: -0.010003 Loss_D_fake 0.009653
[1330/5000][90/535][137190] Loss_D: -0.019270 Loss_G: 0.016156 Loss_D_real: -0.021878 Loss_D_fake -0.002608
[1330/5000][95/535][137191] Loss_D: -0.020454 Loss_G: 0.004151 Loss_D_real: -0.014778 Loss_D_fake 0.005676
[1330/5000][100/535][137192] Loss_D: -0.019518 Loss_G: 0.008956 Loss_D_real: -0.015509 Loss_D_fake 0.004009
[1330/5000][105/535][137193] Loss_D: -0.020754 Loss_G: 0.004028 Loss_D_real: -0.017031 Loss_D_fake 0.003722
[1330/5000][110/535][137194] Loss_D: -0.018615 Loss_G: 0.013743 Loss_D_real: -0.015701 Loss_D_fake 0.002913
[1330/5000][115/535][137195] Loss_D: -0.018605 Loss_G: -0.008647 Loss_D_real: 0.002821 Loss_D_fake 0.021426
[1330/5000][120/535][137196] Loss_D: -0.020499 Loss_G: 0.007679 Loss_D_real: -0.010987 Loss_D_fake 0.009512
[1330/5000][125/535][137197] Loss_D: -0.019871 Loss_G: 0.011313 Loss_D_real: -0.018409 Loss_D_fake 0.001462
[1330/5000][130/535][137198] Loss_D: -0.019024 Loss_G: 0.012956 Loss_D_real: -0.002014 Loss_D_fake 0.017010
[1330/5000][135/535][137199] Loss_D: -0.020509 Loss_G: 0.005793 Loss_D_real: -0.024633 Loss_D_fake -0.004124
[1330/5000][140/535][137200] Loss_D: -0.018450 Loss_G: 0.018478 Loss_D_real: -0.026381 Loss_D_fake -0.007931
[1330/5000][145/535][137201] Loss_D: -0.018340 Loss_G: -0.003223 Loss_D_real: -0.002406 Loss_D_fake 0.015933
[1330/5000][150/535][137202] Loss_D: -0.017917 Loss_G: 0.006476 Loss_D_real: 0.003211 Loss_D_fake 0.021127
[1330/5000][155/535][137203] Loss_D: -0.021418 Loss_G: 0.005186 Loss_D_real: -0.004961 Loss_D_fake 0.016458
[1330/5000][160/535][137204] Loss_D: -0.019216 Loss_G: 0.013281 Loss_D_real: -0.010355 Loss_D_fake 0.008861
[1330/5000][165/535][137205] Loss_D: -0.018681 Loss_G: 0.012522 Loss_D_real: -0.029419 Loss_D_fake -0.010738
[1330/5000][170/535][137206] Loss_D: -0.019024 Loss_G: 0.001575 Loss_D_real: -0.015049 Loss_D_fake 0.003974
[1330/5000][175/535][137207] Loss_D: -0.020010 Loss_G: 0.008485 Loss_D_real: -0.011278 Loss_D_fake 0.008732
[1330/5000][180/535][137208] Loss_D: -0.019383 Loss_G: 0.009020 Loss_D_real: -0.006485 Loss_D_fake 0.012898
[1330/5000][185/535][137209] Loss_D: -0.018515 Loss_G: 0.002549 Loss_D_real: -0.010551 Loss_D_fake 0.007964
[1330/5000][190/535][137210] Loss_D: -0.020008 Loss_G: 0.007050 Loss_D_real: -0.026315 Loss_D_fake -0.006306
[1330/5000][195/535][137211] Loss_D: -0.019231 Loss_G: 0.008394 Loss_D_real: -0.013910 Loss_D_fake 0.005320
[1330/5000][200/535][137212] Loss_D: -0.018431 Loss_G: 0.027685 Loss_D_real: -0.024780 Loss_D_fake -0.006349
[1330/5000][205/535][137213] Loss_D: -0.020232 Loss_G: 0.006458 Loss_D_real: -0.021897 Loss_D_fake -0.001665
[1330/5000][210/535][137214] Loss_D: -0.019378 Loss_G: 0.009724 Loss_D_real: -0.015619 Loss_D_fake 0.003759
[1330/5000][215/535][137215] Loss_D: -0.019884 Loss_G: 0.010709 Loss_D_real: -0.004963 Loss_D_fake 0.014922
[1330/5000][220/535][137216] Loss_D: -0.021220 Loss_G: 0.021078 Loss_D_real: -0.025899 Loss_D_fake -0.004679
[1330/5000][225/535][137217] Loss_D: -0.020323 Loss_G: 0.009503 Loss_D_real: -0.016716 Loss_D_fake 0.003607
[1330/5000][230/535][137218] Loss_D: -0.021227 Loss_G: 0.000307 Loss_D_real: -0.008326 Loss_D_fake 0.012901
[1330/5000][235/535][137219] Loss_D: -0.020854 Loss_G: 0.020889 Loss_D_real: -0.026354 Loss_D_fake -0.005499
[1330/5000][240/535][137220] Loss_D: -0.020598 Loss_G: 0.007435 Loss_D_real: -0.010241 Loss_D_fake 0.010356
[1330/5000][245/535][137221] Loss_D: -0.020745 Loss_G: 0.028602 Loss_D_real: -0.022436 Loss_D_fake -0.001691
[1330/5000][250/535][137222] Loss_D: -0.019441 Loss_G: 0.017956 Loss_D_real: -0.010291 Loss_D_fake 0.009151
[1330/5000][255/535][137223] Loss_D: -0.019339 Loss_G: 0.000790 Loss_D_real: -0.012466 Loss_D_fake 0.006873
[1330/5000][260/535][137224] Loss_D: -0.020496 Loss_G: -0.000244 Loss_D_real: -0.006217 Loss_D_fake 0.014279
[1330/5000][265/535][137225] Loss_D: -0.020068 Loss_G: 0.003486 Loss_D_real: 0.001427 Loss_D_fake 0.021495
[1330/5000][270/535][137226] Loss_D: -0.019793 Loss_G: -0.000329 Loss_D_real: -0.008467 Loss_D_fake 0.011326
[1330/5000][275/535][137227] Loss_D: -0.018044 Loss_G: 0.002941 Loss_D_real: -0.009856 Loss_D_fake 0.008188
[1330/5000][280/535][137228] Loss_D: -0.018217 Loss_G: 0.006355 Loss_D_real: -0.026423 Loss_D_fake -0.008206
[1330/5000][285/535][137229] Loss_D: -0.020362 Loss_G: -0.000878 Loss_D_real: -0.011372 Loss_D_fake 0.008991
[1330/5000][290/535][137230] Loss_D: -0.019634 Loss_G: -0.010860 Loss_D_real: -0.005252 Loss_D_fake 0.014382
[1330/5000][295/535][137231] Loss_D: -0.019915 Loss_G: 0.015748 Loss_D_real: -0.003522 Loss_D_fake 0.016393
[1330/5000][300/535][137232] Loss_D: -0.020439 Loss_G: 0.002095 Loss_D_real: -0.011299 Loss_D_fake 0.009140
[1330/5000][305/535][137233] Loss_D: -0.019924 Loss_G: 0.016155 Loss_D_real: -0.019343 Loss_D_fake 0.000581
[1330/5000][310/535][137234] Loss_D: -0.019343 Loss_G: 0.009047 Loss_D_real: -0.027413 Loss_D_fake -0.008070
[1330/5000][315/535][137235] Loss_D: -0.019296 Loss_G: -0.009229 Loss_D_real: 0.018978 Loss_D_fake 0.038274
[1330/5000][320/535][137236] Loss_D: -0.018877 Loss_G: -0.008482 Loss_D_real: -0.003476 Loss_D_fake 0.015402
[1330/5000][325/535][137237] Loss_D: -0.019900 Loss_G: 0.019795 Loss_D_real: -0.019754 Loss_D_fake 0.000146
[1330/5000][330/535][137238] Loss_D: -0.020594 Loss_G: 0.017535 Loss_D_real: -0.015257 Loss_D_fake 0.005337
[1330/5000][335/535][137239] Loss_D: -0.020292 Loss_G: -0.002758 Loss_D_real: -0.007450 Loss_D_fake 0.012842
[1330/5000][340/535][137240] Loss_D: -0.019543 Loss_G: 0.030715 Loss_D_real: -0.024161 Loss_D_fake -0.004618
[1330/5000][345/535][137241] Loss_D: -0.021228 Loss_G: 0.007950 Loss_D_real: -0.016356 Loss_D_fake 0.004872
[1330/5000][350/535][137242] Loss_D: -0.020823 Loss_G: -0.001133 Loss_D_real: -0.006913 Loss_D_fake 0.013911
[1330/5000][355/535][137243] Loss_D: -0.018570 Loss_G: 0.031574 Loss_D_real: -0.035355 Loss_D_fake -0.016785
[1330/5000][360/535][137244] Loss_D: -0.019279 Loss_G: 0.019781 Loss_D_real: -0.020266 Loss_D_fake -0.000987
[1330/5000][365/535][137245] Loss_D: -0.019978 Loss_G: 0.021083 Loss_D_real: -0.016658 Loss_D_fake 0.003320
[1330/5000][370/535][137246] Loss_D: -0.019610 Loss_G: 0.010156 Loss_D_real: -0.017000 Loss_D_fake 0.002609
[1330/5000][375/535][137247] Loss_D: -0.018597 Loss_G: -0.018524 Loss_D_real: 0.009552 Loss_D_fake 0.028149
[1330/5000][380/535][137248] Loss_D: -0.019408 Loss_G: 0.003919 Loss_D_real: -0.012830 Loss_D_fake 0.006577
[1330/5000][385/535][137249] Loss_D: -0.020008 Loss_G: -0.005946 Loss_D_real: -0.011173 Loss_D_fake 0.008835
[1330/5000][390/535][137250] Loss_D: -0.019144 Loss_G: 0.006154 Loss_D_real: -0.007635 Loss_D_fake 0.011509
[1330/5000][395/535][137251] Loss_D: -0.018960 Loss_G: 0.007977 Loss_D_real: -0.014332 Loss_D_fake 0.004628
[1330/5000][400/535][137252] Loss_D: -0.019168 Loss_G: 0.005488 Loss_D_real: -0.002137 Loss_D_fake 0.017031
[1330/5000][405/535][137253] Loss_D: -0.018601 Loss_G: 0.027699 Loss_D_real: -0.021879 Loss_D_fake -0.003278
[1330/5000][410/535][137254] Loss_D: -0.018523 Loss_G: 0.024033 Loss_D_real: -0.033183 Loss_D_fake -0.014660
[1330/5000][415/535][137255] Loss_D: -0.019462 Loss_G: 0.003170 Loss_D_real: 0.000963 Loss_D_fake 0.020426
[1330/5000][420/535][137256] Loss_D: -0.019051 Loss_G: 0.006644 Loss_D_real: -0.025473 Loss_D_fake -0.006422
[1330/5000][425/535][137257] Loss_D: -0.018810 Loss_G: 0.011083 Loss_D_real: -0.012746 Loss_D_fake 0.006064
[1330/5000][430/535][137258] Loss_D: -0.018723 Loss_G: 0.016493 Loss_D_real: -0.018494 Loss_D_fake 0.000229
[1330/5000][435/535][137259] Loss_D: -0.020203 Loss_G: 0.015535 Loss_D_real: -0.029726 Loss_D_fake -0.009522
[1330/5000][440/535][137260] Loss_D: -0.020858 Loss_G: 0.012956 Loss_D_real: -0.002974 Loss_D_fake 0.017885
[1330/5000][445/535][137261] Loss_D: -0.020260 Loss_G: 0.014445 Loss_D_real: -0.004025 Loss_D_fake 0.016235
[1330/5000][450/535][137262] Loss_D: -0.019921 Loss_G: -0.006897 Loss_D_real: -0.004716 Loss_D_fake 0.015205
[1330/5000][455/535][137263] Loss_D: -0.019991 Loss_G: -0.010838 Loss_D_real: -0.004924 Loss_D_fake 0.015067
[1330/5000][460/535][137264] Loss_D: -0.019577 Loss_G: -0.007138 Loss_D_real: 0.002324 Loss_D_fake 0.021901
[1330/5000][465/535][137265] Loss_D: -0.019884 Loss_G: 0.013070 Loss_D_real: -0.008245 Loss_D_fake 0.011639
[1330/5000][470/535][137266] Loss_D: -0.019740 Loss_G: 0.016400 Loss_D_real: -0.021796 Loss_D_fake -0.002056
[1330/5000][475/535][137267] Loss_D: -0.019536 Loss_G: -0.001678 Loss_D_real: 0.012915 Loss_D_fake 0.032451
[1330/5000][480/535][137268] Loss_D: -0.019850 Loss_G: 0.020615 Loss_D_real: -0.026377 Loss_D_fake -0.006526
[1330/5000][485/535][137269] Loss_D: -0.020349 Loss_G: 0.015816 Loss_D_real: -0.016349 Loss_D_fake 0.004000
[1330/5000][490/535][137270] Loss_D: -0.019987 Loss_G: -0.001361 Loss_D_real: -0.018520 Loss_D_fake 0.001467
[1330/5000][495/535][137271] Loss_D: -0.019992 Loss_G: 0.022787 Loss_D_real: -0.034184 Loss_D_fake -0.014192
[1330/5000][500/535][137272] Loss_D: -0.021133 Loss_G: 0.017776 Loss_D_real: -0.023646 Loss_D_fake -0.002513
[1330/5000][505/535][137273] Loss_D: -0.018802 Loss_G: -0.020216 Loss_D_real: 0.006018 Loss_D_fake 0.024820
[1330/5000][510/535][137274] Loss_D: -0.017922 Loss_G: -0.003898 Loss_D_real: 0.005273 Loss_D_fake 0.023195
[1330/5000][515/535][137275] Loss_D: -0.019885 Loss_G: -0.004773 Loss_D_real: -0.015724 Loss_D_fake 0.004162
[1330/5000][520/535][137276] Loss_D: -0.019682 Loss_G: -0.001017 Loss_D_real: -0.002588 Loss_D_fake 0.017095
[1330/5000][525/535][137277] Loss_D: -0.019705 Loss_G: -0.000477 Loss_D_real: -0.010070 Loss_D_fake 0.009635
[1330/5000][530/535][137278] Loss_D: -0.018827 Loss_G: 0.024816 Loss_D_real: -0.032838 Loss_D_fake -0.014011
[1330/5000][535/535][137279] Loss_D: -0.018064 Loss_G: 0.007455 Loss_D_real: -0.005866 Loss_D_fake 0.012198
[1331/5000][5/535][137280] Loss_D: -0.019289 Loss_G: 0.008726 Loss_D_real: -0.008439 Loss_D_fake 0.010851
[1331/5000][10/535][137281] Loss_D: -0.020446 Loss_G: 0.027522 Loss_D_real: -0.016253 Loss_D_fake 0.004193
[1331/5000][15/535][137282] Loss_D: -0.020026 Loss_G: 0.007055 Loss_D_real: -0.012475 Loss_D_fake 0.007551
[1331/5000][20/535][137283] Loss_D: -0.020148 Loss_G: 0.011505 Loss_D_real: -0.030221 Loss_D_fake -0.010073
[1331/5000][25/535][137284] Loss_D: -0.019133 Loss_G: 0.000375 Loss_D_real: -0.013683 Loss_D_fake 0.005450
[1331/5000][30/535][137285] Loss_D: -0.020702 Loss_G: 0.004117 Loss_D_real: -0.001201 Loss_D_fake 0.019502
[1331/5000][35/535][137286] Loss_D: -0.019539 Loss_G: 0.023385 Loss_D_real: -0.015743 Loss_D_fake 0.003796
[1331/5000][40/535][137287] Loss_D: -0.020219 Loss_G: 0.022939 Loss_D_real: -0.033021 Loss_D_fake -0.012802
[1331/5000][45/535][137288] Loss_D: -0.020054 Loss_G: 0.006629 Loss_D_real: -0.017816 Loss_D_fake 0.002237
[1331/5000][50/535][137289] Loss_D: -0.019595 Loss_G: 0.007600 Loss_D_real: -0.011222 Loss_D_fake 0.008373
[1331/5000][55/535][137290] Loss_D: -0.019015 Loss_G: 0.021567 Loss_D_real: -0.018573 Loss_D_fake 0.000441
[1331/5000][60/535][137291] Loss_D: -0.020619 Loss_G: 0.004714 Loss_D_real: -0.019888 Loss_D_fake 0.000731
[1331/5000][65/535][137292] Loss_D: -0.019871 Loss_G: -0.002760 Loss_D_real: -0.011486 Loss_D_fake 0.008385
[1331/5000][70/535][137293] Loss_D: -0.019071 Loss_G: 0.000907 Loss_D_real: -0.005672 Loss_D_fake 0.013399
[1331/5000][75/535][137294] Loss_D: -0.021181 Loss_G: 0.018587 Loss_D_real: -0.023135 Loss_D_fake -0.001954
[1331/5000][80/535][137295] Loss_D: -0.019011 Loss_G: 0.010802 Loss_D_real: -0.030642 Loss_D_fake -0.011631
[1331/5000][85/535][137296] Loss_D: -0.020048 Loss_G: -0.001932 Loss_D_real: -0.007575 Loss_D_fake 0.012473
[1331/5000][90/535][137297] Loss_D: -0.020093 Loss_G: 0.021576 Loss_D_real: -0.024160 Loss_D_fake -0.004067
[1331/5000][95/535][137298] Loss_D: -0.018809 Loss_G: -0.010851 Loss_D_real: -0.001180 Loss_D_fake 0.017629
[1331/5000][100/535][137299] Loss_D: -0.020722 Loss_G: 0.007583 Loss_D_real: -0.025457 Loss_D_fake -0.004735
[1331/5000][105/535][137300] Loss_D: -0.019552 Loss_G: -0.000549 Loss_D_real: -0.009692 Loss_D_fake 0.009860
[1331/5000][110/535][137301] Loss_D: -0.019057 Loss_G: 0.029061 Loss_D_real: -0.026105 Loss_D_fake -0.007048
[1331/5000][115/535][137302] Loss_D: -0.020341 Loss_G: 0.020096 Loss_D_real: -0.021157 Loss_D_fake -0.000816
[1331/5000][120/535][137303] Loss_D: -0.018846 Loss_G: 0.014320 Loss_D_real: -0.015109 Loss_D_fake 0.003737
[1331/5000][125/535][137304] Loss_D: -0.019913 Loss_G: -0.002667 Loss_D_real: -0.011355 Loss_D_fake 0.008558
[1331/5000][130/535][137305] Loss_D: -0.020496 Loss_G: 0.003484 Loss_D_real: -0.000979 Loss_D_fake 0.019517
[1331/5000][135/535][137306] Loss_D: -0.019138 Loss_G: -0.004999 Loss_D_real: -0.006775 Loss_D_fake 0.012363
[1331/5000][140/535][137307] Loss_D: -0.020140 Loss_G: 0.001706 Loss_D_real: -0.012074 Loss_D_fake 0.008066
[1331/5000][145/535][137308] Loss_D: -0.020003 Loss_G: 0.021954 Loss_D_real: -0.019735 Loss_D_fake 0.000268
[1331/5000][150/535][137309] Loss_D: -0.020469 Loss_G: -0.002211 Loss_D_real: -0.023922 Loss_D_fake -0.003453
[1331/5000][155/535][137310] Loss_D: -0.019718 Loss_G: 0.012576 Loss_D_real: -0.008108 Loss_D_fake 0.011610
[1331/5000][160/535][137311] Loss_D: -0.019176 Loss_G: -0.005570 Loss_D_real: -0.008211 Loss_D_fake 0.010965
[1331/5000][165/535][137312] Loss_D: -0.019262 Loss_G: 0.000485 Loss_D_real: 0.009596 Loss_D_fake 0.028858
[1331/5000][170/535][137313] Loss_D: -0.018882 Loss_G: 0.002597 Loss_D_real: -0.014113 Loss_D_fake 0.004769
[1331/5000][175/535][137314] Loss_D: -0.019435 Loss_G: -0.001998 Loss_D_real: -0.002397 Loss_D_fake 0.017038
[1331/5000][180/535][137315] Loss_D: -0.019705 Loss_G: 0.015200 Loss_D_real: -0.020051 Loss_D_fake -0.000346
[1331/5000][185/535][137316] Loss_D: -0.020122 Loss_G: 0.015026 Loss_D_real: -0.020886 Loss_D_fake -0.000763
[1331/5000][190/535][137317] Loss_D: -0.020345 Loss_G: 0.027084 Loss_D_real: -0.018337 Loss_D_fake 0.002008
[1331/5000][195/535][137318] Loss_D: -0.019526 Loss_G: -0.005029 Loss_D_real: -0.001644 Loss_D_fake 0.017882
[1331/5000][200/535][137319] Loss_D: -0.018786 Loss_G: 0.030887 Loss_D_real: -0.027317 Loss_D_fake -0.008531
[1331/5000][205/535][137320] Loss_D: -0.020018 Loss_G: 0.003765 Loss_D_real: -0.006089 Loss_D_fake 0.013930
[1331/5000][210/535][137321] Loss_D: -0.019806 Loss_G: 0.012795 Loss_D_real: -0.025647 Loss_D_fake -0.005841
[1331/5000][215/535][137322] Loss_D: -0.019837 Loss_G: 0.004655 Loss_D_real: -0.014273 Loss_D_fake 0.005563
[1331/5000][220/535][137323] Loss_D: -0.019601 Loss_G: 0.003957 Loss_D_real: -0.023743 Loss_D_fake -0.004142
[1331/5000][225/535][137324] Loss_D: -0.020437 Loss_G: 0.023381 Loss_D_real: -0.016288 Loss_D_fake 0.004149
[1331/5000][230/535][137325] Loss_D: -0.019255 Loss_G: -0.012422 Loss_D_real: -0.012423 Loss_D_fake 0.006832
[1331/5000][235/535][137326] Loss_D: -0.019769 Loss_G: 0.008844 Loss_D_real: -0.020065 Loss_D_fake -0.000296
[1331/5000][240/535][137327] Loss_D: -0.020051 Loss_G: 0.013053 Loss_D_real: -0.019160 Loss_D_fake 0.000891
[1331/5000][245/535][137328] Loss_D: -0.019249 Loss_G: 0.002186 Loss_D_real: -0.014130 Loss_D_fake 0.005120
[1331/5000][250/535][137329] Loss_D: -0.019641 Loss_G: 0.002888 Loss_D_real: -0.003874 Loss_D_fake 0.015766
[1331/5000][255/535][137330] Loss_D: -0.021475 Loss_G: 0.012346 Loss_D_real: -0.014344 Loss_D_fake 0.007131
[1331/5000][260/535][137331] Loss_D: -0.019986 Loss_G: 0.010559 Loss_D_real: -0.004160 Loss_D_fake 0.015826
[1331/5000][265/535][137332] Loss_D: -0.019837 Loss_G: -0.009145 Loss_D_real: 0.007216 Loss_D_fake 0.027053
[1331/5000][270/535][137333] Loss_D: -0.019603 Loss_G: -0.001672 Loss_D_real: -0.013098 Loss_D_fake 0.006506
[1331/5000][275/535][137334] Loss_D: -0.019930 Loss_G: 0.004999 Loss_D_real: -0.017336 Loss_D_fake 0.002595
[1331/5000][280/535][137335] Loss_D: -0.018538 Loss_G: -0.011905 Loss_D_real: 0.007526 Loss_D_fake 0.026065
[1331/5000][285/535][137336] Loss_D: -0.019972 Loss_G: -0.006783 Loss_D_real: -0.003072 Loss_D_fake 0.016900
[1331/5000][290/535][137337] Loss_D: -0.019475 Loss_G: 0.018696 Loss_D_real: -0.013933 Loss_D_fake 0.005543
[1331/5000][295/535][137338] Loss_D: -0.019589 Loss_G: 0.003758 Loss_D_real: -0.004331 Loss_D_fake 0.015257
[1331/5000][300/535][137339] Loss_D: -0.018460 Loss_G: 0.010225 Loss_D_real: -0.011631 Loss_D_fake 0.006829
[1331/5000][305/535][137340] Loss_D: -0.018946 Loss_G: 0.007838 Loss_D_real: -0.022105 Loss_D_fake -0.003159
[1331/5000][310/535][137341] Loss_D: -0.021119 Loss_G: 0.023995 Loss_D_real: -0.017182 Loss_D_fake 0.003936
[1331/5000][315/535][137342] Loss_D: -0.020444 Loss_G: 0.001499 Loss_D_real: -0.018883 Loss_D_fake 0.001561
[1331/5000][320/535][137343] Loss_D: -0.019396 Loss_G: 0.026256 Loss_D_real: -0.014493 Loss_D_fake 0.004902
[1331/5000][325/535][137344] Loss_D: -0.020107 Loss_G: -0.003171 Loss_D_real: -0.005234 Loss_D_fake 0.014873
[1331/5000][330/535][137345] Loss_D: -0.018178 Loss_G: 0.026418 Loss_D_real: -0.034208 Loss_D_fake -0.016030
[1331/5000][335/535][137346] Loss_D: -0.019448 Loss_G: 0.036479 Loss_D_real: -0.015751 Loss_D_fake 0.003697
[1331/5000][340/535][137347] Loss_D: -0.018791 Loss_G: -0.007575 Loss_D_real: -0.003262 Loss_D_fake 0.015529
[1331/5000][345/535][137348] Loss_D: -0.019388 Loss_G: 0.025883 Loss_D_real: -0.021829 Loss_D_fake -0.002441
[1331/5000][350/535][137349] Loss_D: -0.020729 Loss_G: 0.006870 Loss_D_real: -0.012560 Loss_D_fake 0.008169
[1331/5000][355/535][137350] Loss_D: -0.020468 Loss_G: -0.000607 Loss_D_real: -0.013493 Loss_D_fake 0.006975
[1331/5000][360/535][137351] Loss_D: -0.018452 Loss_G: 0.028346 Loss_D_real: -0.028303 Loss_D_fake -0.009851
[1331/5000][365/535][137352] Loss_D: -0.019131 Loss_G: -0.005785 Loss_D_real: -0.005911 Loss_D_fake 0.013220
[1331/5000][370/535][137353] Loss_D: -0.019945 Loss_G: 0.022092 Loss_D_real: -0.025742 Loss_D_fake -0.005798
[1331/5000][375/535][137354] Loss_D: -0.020472 Loss_G: 0.010282 Loss_D_real: -0.019194 Loss_D_fake 0.001278
[1331/5000][380/535][137355] Loss_D: -0.019030 Loss_G: 0.019467 Loss_D_real: -0.018851 Loss_D_fake 0.000178
[1331/5000][385/535][137356] Loss_D: -0.020259 Loss_G: 0.005624 Loss_D_real: -0.009610 Loss_D_fake 0.010649
[1331/5000][390/535][137357] Loss_D: -0.019682 Loss_G: 0.017811 Loss_D_real: -0.009240 Loss_D_fake 0.010442
[1331/5000][395/535][137358] Loss_D: -0.020481 Loss_G: 0.008037 Loss_D_real: -0.020866 Loss_D_fake -0.000385
[1331/5000][400/535][137359] Loss_D: -0.019540 Loss_G: 0.000482 Loss_D_real: -0.009570 Loss_D_fake 0.009969
[1331/5000][405/535][137360] Loss_D: -0.021017 Loss_G: -0.000719 Loss_D_real: -0.012996 Loss_D_fake 0.008021
[1331/5000][410/535][137361] Loss_D: -0.019722 Loss_G: -0.006919 Loss_D_real: -0.001052 Loss_D_fake 0.018670
[1331/5000][415/535][137362] Loss_D: -0.020541 Loss_G: 0.012760 Loss_D_real: -0.019133 Loss_D_fake 0.001408
[1331/5000][420/535][137363] Loss_D: -0.018591 Loss_G: 0.003787 Loss_D_real: -0.006775 Loss_D_fake 0.011816
[1331/5000][425/535][137364] Loss_D: -0.020761 Loss_G: 0.018476 Loss_D_real: -0.011435 Loss_D_fake 0.009326
[1331/5000][430/535][137365] Loss_D: -0.019927 Loss_G: -0.002846 Loss_D_real: 0.006254 Loss_D_fake 0.026181
[1331/5000][435/535][137366] Loss_D: -0.019639 Loss_G: -0.014578 Loss_D_real: -0.003737 Loss_D_fake 0.015902
[1331/5000][440/535][137367] Loss_D: -0.020133 Loss_G: -0.005700 Loss_D_real: 0.007674 Loss_D_fake 0.027808
[1331/5000][445/535][137368] Loss_D: -0.019803 Loss_G: 0.024547 Loss_D_real: -0.024383 Loss_D_fake -0.004580
[1331/5000][450/535][137369] Loss_D: -0.019072 Loss_G: 0.007893 Loss_D_real: -0.008563 Loss_D_fake 0.010509
[1331/5000][455/535][137370] Loss_D: -0.019126 Loss_G: 0.023217 Loss_D_real: -0.017667 Loss_D_fake 0.001459
[1331/5000][460/535][137371] Loss_D: -0.019505 Loss_G: 0.002676 Loss_D_real: -0.022456 Loss_D_fake -0.002952
[1331/5000][465/535][137372] Loss_D: -0.020189 Loss_G: 0.020527 Loss_D_real: -0.016934 Loss_D_fake 0.003255
[1331/5000][470/535][137373] Loss_D: -0.019862 Loss_G: 0.013394 Loss_D_real: -0.021392 Loss_D_fake -0.001529
[1331/5000][475/535][137374] Loss_D: -0.019975 Loss_G: 0.016713 Loss_D_real: -0.027008 Loss_D_fake -0.007033
[1331/5000][480/535][137375] Loss_D: -0.020107 Loss_G: 0.022720 Loss_D_real: -0.014983 Loss_D_fake 0.005124
[1331/5000][485/535][137376] Loss_D: -0.019318 Loss_G: 0.004874 Loss_D_real: -0.010854 Loss_D_fake 0.008464
[1331/5000][490/535][137377] Loss_D: -0.019591 Loss_G: 0.002251 Loss_D_real: -0.016164 Loss_D_fake 0.003427
[1331/5000][495/535][137378] Loss_D: -0.019595 Loss_G: -0.007287 Loss_D_real: 0.004741 Loss_D_fake 0.024336
[1331/5000][500/535][137379] Loss_D: -0.019620 Loss_G: 0.015215 Loss_D_real: -0.014031 Loss_D_fake 0.005588
[1331/5000][505/535][137380] Loss_D: -0.018689 Loss_G: 0.029649 Loss_D_real: -0.023538 Loss_D_fake -0.004848
[1331/5000][510/535][137381] Loss_D: -0.018424 Loss_G: 0.013960 Loss_D_real: -0.035166 Loss_D_fake -0.016742
[1331/5000][515/535][137382] Loss_D: -0.019737 Loss_G: 0.017188 Loss_D_real: -0.023819 Loss_D_fake -0.004083
[1331/5000][520/535][137383] Loss_D: -0.021279 Loss_G: 0.005248 Loss_D_real: -0.010940 Loss_D_fake 0.010339
[1331/5000][525/535][137384] Loss_D: -0.020518 Loss_G: -0.012368 Loss_D_real: -0.003493 Loss_D_fake 0.017025
[1331/5000][530/535][137385] Loss_D: -0.018752 Loss_G: 0.014181 Loss_D_real: -0.018363 Loss_D_fake 0.000389
[1331/5000][535/535][137386] Loss_D: -0.019226 Loss_G: 0.019245 Loss_D_real: -0.020122 Loss_D_fake -0.000896
[1332/5000][5/535][137387] Loss_D: -0.020903 Loss_G: 0.020164 Loss_D_real: -0.016115 Loss_D_fake 0.004788
[1332/5000][10/535][137388] Loss_D: -0.018741 Loss_G: 0.018295 Loss_D_real: -0.030679 Loss_D_fake -0.011938
[1332/5000][15/535][137389] Loss_D: -0.019826 Loss_G: -0.015588 Loss_D_real: -0.001771 Loss_D_fake 0.018055
[1332/5000][20/535][137390] Loss_D: -0.018574 Loss_G: 0.004627 Loss_D_real: -0.021192 Loss_D_fake -0.002618
[1332/5000][25/535][137391] Loss_D: -0.018562 Loss_G: -0.006275 Loss_D_real: -0.009246 Loss_D_fake 0.009316
[1332/5000][30/535][137392] Loss_D: -0.017316 Loss_G: 0.001116 Loss_D_real: -0.015318 Loss_D_fake 0.001999
[1332/5000][35/535][137393] Loss_D: -0.017806 Loss_G: 0.020645 Loss_D_real: -0.023219 Loss_D_fake -0.005413
[1332/5000][40/535][137394] Loss_D: -0.019468 Loss_G: 0.019211 Loss_D_real: -0.024086 Loss_D_fake -0.004618
[1332/5000][45/535][137395] Loss_D: -0.018944 Loss_G: 0.009576 Loss_D_real: -0.014689 Loss_D_fake 0.004255
[1332/5000][50/535][137396] Loss_D: -0.018383 Loss_G: 0.002652 Loss_D_real: -0.019094 Loss_D_fake -0.000711
[1332/5000][55/535][137397] Loss_D: -0.019281 Loss_G: 0.013922 Loss_D_real: -0.007752 Loss_D_fake 0.011530
[1332/5000][60/535][137398] Loss_D: -0.021347 Loss_G: 0.009779 Loss_D_real: -0.017138 Loss_D_fake 0.004208
[1332/5000][65/535][137399] Loss_D: -0.019183 Loss_G: 0.028649 Loss_D_real: -0.030343 Loss_D_fake -0.011159
[1332/5000][70/535][137400] Loss_D: -0.021239 Loss_G: -0.003220 Loss_D_real: -0.008221 Loss_D_fake 0.013018
[1332/5000][75/535][137401] Loss_D: -0.018896 Loss_G: 0.019296 Loss_D_real: -0.013593 Loss_D_fake 0.005303
[1332/5000][80/535][137402] Loss_D: -0.019388 Loss_G: 0.011211 Loss_D_real: -0.016908 Loss_D_fake 0.002479
[1332/5000][85/535][137403] Loss_D: -0.019516 Loss_G: 0.012899 Loss_D_real: -0.025735 Loss_D_fake -0.006218
[1332/5000][90/535][137404] Loss_D: -0.019425 Loss_G: 0.019951 Loss_D_real: -0.017413 Loss_D_fake 0.002012
[1332/5000][95/535][137405] Loss_D: -0.019997 Loss_G: 0.015502 Loss_D_real: -0.023745 Loss_D_fake -0.003748
[1332/5000][100/535][137406] Loss_D: -0.019136 Loss_G: 0.010796 Loss_D_real: -0.006469 Loss_D_fake 0.012667
[1332/5000][105/535][137407] Loss_D: -0.017734 Loss_G: -0.006301 Loss_D_real: -0.014668 Loss_D_fake 0.003066
[1332/5000][110/535][137408] Loss_D: -0.019876 Loss_G: 0.016397 Loss_D_real: -0.010217 Loss_D_fake 0.009659
[1332/5000][115/535][137409] Loss_D: -0.019276 Loss_G: 0.004854 Loss_D_real: -0.022225 Loss_D_fake -0.002949
[1332/5000][120/535][137410] Loss_D: -0.019568 Loss_G: 0.007518 Loss_D_real: -0.008014 Loss_D_fake 0.011555
[1332/5000][125/535][137411] Loss_D: -0.018312 Loss_G: 0.021098 Loss_D_real: -0.032702 Loss_D_fake -0.014390
[1332/5000][130/535][137412] Loss_D: -0.018982 Loss_G: 0.023481 Loss_D_real: -0.037120 Loss_D_fake -0.018137
[1332/5000][135/535][137413] Loss_D: -0.018404 Loss_G: 0.008522 Loss_D_real: -0.021836 Loss_D_fake -0.003432
[1332/5000][140/535][137414] Loss_D: -0.019842 Loss_G: 0.002366 Loss_D_real: -0.020492 Loss_D_fake -0.000650
[1332/5000][145/535][137415] Loss_D: -0.019546 Loss_G: 0.025682 Loss_D_real: -0.021175 Loss_D_fake -0.001629
[1332/5000][150/535][137416] Loss_D: -0.018978 Loss_G: -0.009016 Loss_D_real: 0.007805 Loss_D_fake 0.026783
[1332/5000][155/535][137417] Loss_D: -0.020021 Loss_G: 0.025803 Loss_D_real: -0.023885 Loss_D_fake -0.003864
[1332/5000][160/535][137418] Loss_D: -0.020158 Loss_G: 0.000974 Loss_D_real: -0.005280 Loss_D_fake 0.014878
[1332/5000][165/535][137419] Loss_D: -0.019507 Loss_G: 0.024333 Loss_D_real: -0.025727 Loss_D_fake -0.006220
[1332/5000][170/535][137420] Loss_D: -0.020664 Loss_G: -0.004283 Loss_D_real: -0.006707 Loss_D_fake 0.013957
[1332/5000][175/535][137421] Loss_D: -0.019651 Loss_G: 0.004575 Loss_D_real: -0.000153 Loss_D_fake 0.019498
[1332/5000][180/535][137422] Loss_D: -0.019676 Loss_G: 0.013157 Loss_D_real: -0.029744 Loss_D_fake -0.010068
[1332/5000][185/535][137423] Loss_D: -0.019891 Loss_G: 0.003565 Loss_D_real: -0.017241 Loss_D_fake 0.002650
[1332/5000][190/535][137424] Loss_D: -0.020838 Loss_G: 0.018109 Loss_D_real: -0.019964 Loss_D_fake 0.000874
[1332/5000][195/535][137425] Loss_D: -0.020790 Loss_G: -0.002769 Loss_D_real: -0.003128 Loss_D_fake 0.017662
[1332/5000][200/535][137426] Loss_D: -0.019358 Loss_G: 0.003468 Loss_D_real: -0.011989 Loss_D_fake 0.007370
[1332/5000][205/535][137427] Loss_D: -0.020215 Loss_G: -0.003265 Loss_D_real: -0.003692 Loss_D_fake 0.016523
[1332/5000][210/535][137428] Loss_D: -0.020816 Loss_G: 0.000448 Loss_D_real: -0.011234 Loss_D_fake 0.009582
[1332/5000][215/535][137429] Loss_D: -0.019663 Loss_G: 0.034346 Loss_D_real: -0.027121 Loss_D_fake -0.007458
[1332/5000][220/535][137430] Loss_D: -0.019230 Loss_G: 0.009545 Loss_D_real: -0.018443 Loss_D_fake 0.000788
[1332/5000][225/535][137431] Loss_D: -0.017425 Loss_G: -0.018302 Loss_D_real: 0.009547 Loss_D_fake 0.026972
[1332/5000][230/535][137432] Loss_D: -0.019989 Loss_G: -0.004475 Loss_D_real: -0.000367 Loss_D_fake 0.019622
[1332/5000][235/535][137433] Loss_D: -0.019129 Loss_G: 0.005820 Loss_D_real: -0.017724 Loss_D_fake 0.001404
[1332/5000][240/535][137434] Loss_D: -0.019246 Loss_G: 0.014990 Loss_D_real: -0.028365 Loss_D_fake -0.009119
[1332/5000][245/535][137435] Loss_D: -0.019354 Loss_G: 0.008736 Loss_D_real: -0.006422 Loss_D_fake 0.012933
[1332/5000][250/535][137436] Loss_D: -0.019095 Loss_G: 0.027043 Loss_D_real: -0.016699 Loss_D_fake 0.002396
[1332/5000][255/535][137437] Loss_D: -0.019673 Loss_G: 0.006901 Loss_D_real: -0.026100 Loss_D_fake -0.006427
[1332/5000][260/535][137438] Loss_D: -0.020241 Loss_G: 0.012024 Loss_D_real: -0.010856 Loss_D_fake 0.009385
[1332/5000][265/535][137439] Loss_D: -0.019139 Loss_G: -0.006295 Loss_D_real: 0.000718 Loss_D_fake 0.019857
[1332/5000][270/535][137440] Loss_D: -0.020646 Loss_G: -0.000340 Loss_D_real: 0.003066 Loss_D_fake 0.023712
[1332/5000][275/535][137441] Loss_D: -0.019774 Loss_G: 0.013459 Loss_D_real: -0.017318 Loss_D_fake 0.002456
[1332/5000][280/535][137442] Loss_D: -0.020297 Loss_G: -0.011561 Loss_D_real: -0.012678 Loss_D_fake 0.007619
[1332/5000][285/535][137443] Loss_D: -0.019144 Loss_G: 0.017602 Loss_D_real: -0.008364 Loss_D_fake 0.010780
[1332/5000][290/535][137444] Loss_D: -0.019175 Loss_G: 0.025946 Loss_D_real: -0.020610 Loss_D_fake -0.001434
[1332/5000][295/535][137445] Loss_D: -0.020057 Loss_G: 0.008518 Loss_D_real: -0.020521 Loss_D_fake -0.000464
[1332/5000][300/535][137446] Loss_D: -0.019513 Loss_G: 0.008430 Loss_D_real: -0.008553 Loss_D_fake 0.010960
[1332/5000][305/535][137447] Loss_D: -0.019433 Loss_G: -0.004091 Loss_D_real: -0.004278 Loss_D_fake 0.015155
[1332/5000][310/535][137448] Loss_D: -0.020593 Loss_G: 0.005977 Loss_D_real: -0.007888 Loss_D_fake 0.012705
[1332/5000][315/535][137449] Loss_D: -0.018956 Loss_G: 0.024317 Loss_D_real: -0.026917 Loss_D_fake -0.007961
[1332/5000][320/535][137450] Loss_D: -0.019860 Loss_G: -0.006628 Loss_D_real: 0.003802 Loss_D_fake 0.023663
[1332/5000][325/535][137451] Loss_D: -0.019507 Loss_G: 0.019447 Loss_D_real: -0.016878 Loss_D_fake 0.002630
[1332/5000][330/535][137452] Loss_D: -0.020094 Loss_G: 0.005338 Loss_D_real: -0.018582 Loss_D_fake 0.001512
[1332/5000][335/535][137453] Loss_D: -0.020195 Loss_G: 0.016963 Loss_D_real: -0.019816 Loss_D_fake 0.000379
[1332/5000][340/535][137454] Loss_D: -0.020283 Loss_G: 0.012127 Loss_D_real: -0.012293 Loss_D_fake 0.007991
[1332/5000][345/535][137455] Loss_D: -0.019146 Loss_G: 0.009258 Loss_D_real: -0.012445 Loss_D_fake 0.006701
[1332/5000][350/535][137456] Loss_D: -0.019883 Loss_G: 0.013373 Loss_D_real: -0.018127 Loss_D_fake 0.001755
[1332/5000][355/535][137457] Loss_D: -0.018966 Loss_G: 0.015556 Loss_D_real: -0.028573 Loss_D_fake -0.009607
[1332/5000][360/535][137458] Loss_D: -0.018903 Loss_G: 0.022870 Loss_D_real: -0.026433 Loss_D_fake -0.007529
[1332/5000][365/535][137459] Loss_D: -0.019296 Loss_G: -0.000014 Loss_D_real: -0.020068 Loss_D_fake -0.000772
[1332/5000][370/535][137460] Loss_D: -0.020067 Loss_G: 0.009995 Loss_D_real: -0.020386 Loss_D_fake -0.000320
[1332/5000][375/535][137461] Loss_D: -0.018777 Loss_G: 0.012570 Loss_D_real: -0.011711 Loss_D_fake 0.007066
[1332/5000][380/535][137462] Loss_D: -0.019981 Loss_G: -0.011007 Loss_D_real: 0.000962 Loss_D_fake 0.020943
[1332/5000][385/535][137463] Loss_D: -0.019326 Loss_G: 0.024192 Loss_D_real: -0.028483 Loss_D_fake -0.009158
[1332/5000][390/535][137464] Loss_D: -0.018361 Loss_G: 0.017331 Loss_D_real: -0.027769 Loss_D_fake -0.009408
[1332/5000][395/535][137465] Loss_D: -0.020234 Loss_G: 0.009177 Loss_D_real: -0.024940 Loss_D_fake -0.004706
[1332/5000][400/535][137466] Loss_D: -0.021916 Loss_G: -0.002801 Loss_D_real: -0.017034 Loss_D_fake 0.004881
[1332/5000][405/535][137467] Loss_D: -0.019431 Loss_G: 0.001255 Loss_D_real: -0.006038 Loss_D_fake 0.013393
[1332/5000][410/535][137468] Loss_D: -0.020044 Loss_G: 0.006101 Loss_D_real: -0.001781 Loss_D_fake 0.018263
[1332/5000][415/535][137469] Loss_D: -0.020359 Loss_G: 0.007638 Loss_D_real: -0.017485 Loss_D_fake 0.002873
[1332/5000][420/535][137470] Loss_D: -0.020195 Loss_G: 0.012483 Loss_D_real: -0.025178 Loss_D_fake -0.004983
[1332/5000][425/535][137471] Loss_D: -0.018674 Loss_G: 0.011672 Loss_D_real: -0.025838 Loss_D_fake -0.007164
[1332/5000][430/535][137472] Loss_D: -0.018820 Loss_G: -0.011822 Loss_D_real: 0.003225 Loss_D_fake 0.022045
[1332/5000][435/535][137473] Loss_D: -0.019127 Loss_G: -0.003387 Loss_D_real: -0.004647 Loss_D_fake 0.014480
[1332/5000][440/535][137474] Loss_D: -0.019511 Loss_G: 0.013614 Loss_D_real: -0.017713 Loss_D_fake 0.001798
[1332/5000][445/535][137475] Loss_D: -0.019398 Loss_G: -0.000128 Loss_D_real: -0.000198 Loss_D_fake 0.019201
[1332/5000][450/535][137476] Loss_D: -0.020349 Loss_G: 0.009311 Loss_D_real: -0.008410 Loss_D_fake 0.011939
[1332/5000][455/535][137477] Loss_D: -0.020279 Loss_G: 0.009791 Loss_D_real: -0.014517 Loss_D_fake 0.005761
[1332/5000][460/535][137478] Loss_D: -0.020620 Loss_G: 0.013738 Loss_D_real: -0.023006 Loss_D_fake -0.002386
[1332/5000][465/535][137479] Loss_D: -0.020081 Loss_G: 0.020663 Loss_D_real: -0.019279 Loss_D_fake 0.000802
[1332/5000][470/535][137480] Loss_D: -0.020024 Loss_G: 0.013481 Loss_D_real: -0.020622 Loss_D_fake -0.000598
[1332/5000][475/535][137481] Loss_D: -0.018465 Loss_G: 0.026891 Loss_D_real: -0.026947 Loss_D_fake -0.008482
[1332/5000][480/535][137482] Loss_D: -0.018656 Loss_G: 0.020818 Loss_D_real: -0.016923 Loss_D_fake 0.001733
[1332/5000][485/535][137483] Loss_D: -0.020708 Loss_G: 0.020283 Loss_D_real: -0.016629 Loss_D_fake 0.004078
[1332/5000][490/535][137484] Loss_D: -0.023098 Loss_G: 0.003511 Loss_D_real: -0.015502 Loss_D_fake 0.007596
[1332/5000][495/535][137485] Loss_D: -0.020171 Loss_G: 0.006476 Loss_D_real: -0.012688 Loss_D_fake 0.007483
[1332/5000][500/535][137486] Loss_D: -0.021122 Loss_G: 0.012003 Loss_D_real: -0.006455 Loss_D_fake 0.014668
[1332/5000][505/535][137487] Loss_D: -0.018534 Loss_G: 0.029125 Loss_D_real: -0.029412 Loss_D_fake -0.010878
[1332/5000][510/535][137488] Loss_D: -0.019784 Loss_G: -0.007612 Loss_D_real: -0.002868 Loss_D_fake 0.016916
[1332/5000][515/535][137489] Loss_D: -0.020824 Loss_G: 0.005995 Loss_D_real: -0.022203 Loss_D_fake -0.001379
[1332/5000][520/535][137490] Loss_D: -0.020501 Loss_G: 0.012796 Loss_D_real: -0.023343 Loss_D_fake -0.002843
[1332/5000][525/535][137491] Loss_D: -0.020094 Loss_G: 0.000641 Loss_D_real: -0.010890 Loss_D_fake 0.009204
[1332/5000][530/535][137492] Loss_D: -0.020063 Loss_G: 0.003010 Loss_D_real: 0.000315 Loss_D_fake 0.020379
[1332/5000][535/535][137493] Loss_D: -0.018812 Loss_G: 0.030948 Loss_D_real: -0.006406 Loss_D_fake 0.012405
[1333/5000][5/535][137494] Loss_D: -0.020206 Loss_G: 0.016651 Loss_D_real: -0.027762 Loss_D_fake -0.007556
[1333/5000][10/535][137495] Loss_D: -0.018948 Loss_G: 0.018292 Loss_D_real: -0.022205 Loss_D_fake -0.003258
[1333/5000][15/535][137496] Loss_D: -0.019531 Loss_G: 0.005696 Loss_D_real: -0.005468 Loss_D_fake 0.014064
[1333/5000][20/535][137497] Loss_D: -0.019944 Loss_G: -0.000118 Loss_D_real: -0.013946 Loss_D_fake 0.005998
[1333/5000][25/535][137498] Loss_D: -0.018437 Loss_G: 0.015785 Loss_D_real: -0.024484 Loss_D_fake -0.006046
[1333/5000][30/535][137499] Loss_D: -0.019445 Loss_G: 0.014431 Loss_D_real: -0.024008 Loss_D_fake -0.004563
[1333/5000][35/535][137500] Loss_D: -0.020544 Loss_G: 0.007504 Loss_D_real: -0.005153 Loss_D_fake 0.015391
[1333/5000][135/535][137501] Loss_D: -0.021668 Loss_G: 0.003523 Loss_D_real: -0.012692 Loss_D_fake 0.008976
[1333/5000][140/535][137502] Loss_D: -0.020136 Loss_G: 0.019545 Loss_D_real: -0.007565 Loss_D_fake 0.012572
[1333/5000][145/535][137503] Loss_D: -0.018237 Loss_G: 0.022666 Loss_D_real: -0.022414 Loss_D_fake -0.004177
[1333/5000][150/535][137504] Loss_D: -0.019477 Loss_G: 0.003785 Loss_D_real: -0.007669 Loss_D_fake 0.011807
[1333/5000][155/535][137505] Loss_D: -0.019558 Loss_G: -0.016841 Loss_D_real: 0.001730 Loss_D_fake 0.021288
[1333/5000][160/535][137506] Loss_D: -0.017461 Loss_G: -0.003209 Loss_D_real: -0.008276 Loss_D_fake 0.009185
[1333/5000][165/535][137507] Loss_D: -0.018837 Loss_G: 0.010388 Loss_D_real: -0.023740 Loss_D_fake -0.004904
[1333/5000][170/535][137508] Loss_D: -0.019097 Loss_G: 0.000480 Loss_D_real: -0.006226 Loss_D_fake 0.012872
[1333/5000][175/535][137509] Loss_D: -0.020431 Loss_G: 0.006663 Loss_D_real: -0.013303 Loss_D_fake 0.007128
[1333/5000][180/535][137510] Loss_D: -0.019297 Loss_G: 0.013307 Loss_D_real: -0.014388 Loss_D_fake 0.004909
[1333/5000][185/535][137511] Loss_D: -0.018524 Loss_G: 0.023398 Loss_D_real: -0.028204 Loss_D_fake -0.009681
[1333/5000][190/535][137512] Loss_D: -0.019680 Loss_G: -0.000799 Loss_D_real: -0.016446 Loss_D_fake 0.003234
[1333/5000][195/535][137513] Loss_D: -0.017935 Loss_G: 0.020359 Loss_D_real: -0.017716 Loss_D_fake 0.000219
[1333/5000][200/535][137514] Loss_D: -0.019919 Loss_G: 0.018360 Loss_D_real: -0.023076 Loss_D_fake -0.003157
[1333/5000][205/535][137515] Loss_D: -0.017486 Loss_G: -0.022281 Loss_D_real: 0.002643 Loss_D_fake 0.020129
[1333/5000][210/535][137516] Loss_D: -0.019638 Loss_G: 0.008290 Loss_D_real: -0.023516 Loss_D_fake -0.003878
[1333/5000][215/535][137517] Loss_D: -0.018655 Loss_G: 0.022512 Loss_D_real: -0.022262 Loss_D_fake -0.003607
[1333/5000][220/535][137518] Loss_D: -0.018433 Loss_G: -0.003148 Loss_D_real: -0.013054 Loss_D_fake 0.005379
[1333/5000][225/535][137519] Loss_D: -0.019231 Loss_G: 0.016907 Loss_D_real: -0.017022 Loss_D_fake 0.002209
[1333/5000][230/535][137520] Loss_D: -0.018534 Loss_G: -0.002942 Loss_D_real: -0.007335 Loss_D_fake 0.011199
[1333/5000][235/535][137521] Loss_D: -0.019513 Loss_G: -0.004835 Loss_D_real: 0.005932 Loss_D_fake 0.025445
[1333/5000][240/535][137522] Loss_D: -0.020302 Loss_G: 0.008064 Loss_D_real: -0.013495 Loss_D_fake 0.006807
[1333/5000][245/535][137523] Loss_D: -0.019440 Loss_G: -0.000071 Loss_D_real: -0.001337 Loss_D_fake 0.018103
[1333/5000][250/535][137524] Loss_D: -0.019710 Loss_G: 0.018865 Loss_D_real: -0.017684 Loss_D_fake 0.002026
[1333/5000][255/535][137525] Loss_D: -0.019796 Loss_G: 0.003098 Loss_D_real: -0.011491 Loss_D_fake 0.008305
[1333/5000][260/535][137526] Loss_D: -0.019373 Loss_G: 0.017103 Loss_D_real: -0.018660 Loss_D_fake 0.000713
[1333/5000][265/535][137527] Loss_D: -0.020076 Loss_G: 0.006116 Loss_D_real: -0.013475 Loss_D_fake 0.006601
[1333/5000][270/535][137528] Loss_D: -0.020376 Loss_G: 0.008511 Loss_D_real: -0.011948 Loss_D_fake 0.008428
[1333/5000][275/535][137529] Loss_D: -0.020080 Loss_G: -0.010556 Loss_D_real: 0.004406 Loss_D_fake 0.024487
[1333/5000][280/535][137530] Loss_D: -0.019260 Loss_G: 0.033216 Loss_D_real: -0.019230 Loss_D_fake 0.000030
[1333/5000][285/535][137531] Loss_D: -0.020798 Loss_G: 0.006535 Loss_D_real: -0.016493 Loss_D_fake 0.004304
[1333/5000][290/535][137532] Loss_D: -0.018989 Loss_G: -0.001874 Loss_D_real: 0.003585 Loss_D_fake 0.022573
[1333/5000][295/535][137533] Loss_D: -0.020139 Loss_G: 0.008962 Loss_D_real: -0.013793 Loss_D_fake 0.006346
[1333/5000][300/535][137534] Loss_D: -0.017803 Loss_G: 0.027403 Loss_D_real: -0.030452 Loss_D_fake -0.012649
[1333/5000][305/535][137535] Loss_D: -0.019399 Loss_G: 0.008354 Loss_D_real: -0.013050 Loss_D_fake 0.006349
[1333/5000][310/535][137536] Loss_D: -0.018869 Loss_G: -0.012875 Loss_D_real: -0.003196 Loss_D_fake 0.015673
[1333/5000][315/535][137537] Loss_D: -0.019097 Loss_G: 0.011337 Loss_D_real: -0.021265 Loss_D_fake -0.002168
[1333/5000][320/535][137538] Loss_D: -0.019772 Loss_G: 0.006954 Loss_D_real: -0.010127 Loss_D_fake 0.009645
[1333/5000][325/535][137539] Loss_D: -0.019908 Loss_G: 0.000728 Loss_D_real: -0.014593 Loss_D_fake 0.005315
[1333/5000][330/535][137540] Loss_D: -0.019013 Loss_G: 0.009156 Loss_D_real: -0.007757 Loss_D_fake 0.011256
[1333/5000][335/535][137541] Loss_D: -0.019168 Loss_G: -0.000591 Loss_D_real: -0.012802 Loss_D_fake 0.006366
[1333/5000][340/535][137542] Loss_D: -0.019197 Loss_G: -0.012145 Loss_D_real: 0.010076 Loss_D_fake 0.029273
[1333/5000][345/535][137543] Loss_D: -0.019150 Loss_G: 0.028877 Loss_D_real: -0.021024 Loss_D_fake -0.001874
[1333/5000][350/535][137544] Loss_D: -0.019793 Loss_G: 0.011185 Loss_D_real: -0.010263 Loss_D_fake 0.009530
[1333/5000][355/535][137545] Loss_D: -0.021172 Loss_G: 0.006910 Loss_D_real: -0.019832 Loss_D_fake 0.001340
[1333/5000][360/535][137546] Loss_D: -0.019611 Loss_G: 0.008498 Loss_D_real: -0.007584 Loss_D_fake 0.012027
[1333/5000][365/535][137547] Loss_D: -0.019649 Loss_G: 0.008578 Loss_D_real: -0.011961 Loss_D_fake 0.007688
[1333/5000][370/535][137548] Loss_D: -0.020409 Loss_G: -0.001603 Loss_D_real: -0.003366 Loss_D_fake 0.017043
[1333/5000][375/535][137549] Loss_D: -0.018576 Loss_G: -0.014342 Loss_D_real: -0.004990 Loss_D_fake 0.013586
[1333/5000][380/535][137550] Loss_D: -0.021113 Loss_G: 0.008937 Loss_D_real: -0.009461 Loss_D_fake 0.011652
[1333/5000][385/535][137551] Loss_D: -0.020189 Loss_G: 0.006397 Loss_D_real: -0.020973 Loss_D_fake -0.000783
[1333/5000][390/535][137552] Loss_D: -0.020397 Loss_G: -0.009545 Loss_D_real: 0.005879 Loss_D_fake 0.026276
[1333/5000][395/535][137553] Loss_D: -0.018261 Loss_G: 0.009554 Loss_D_real: -0.010849 Loss_D_fake 0.007412
[1333/5000][400/535][137554] Loss_D: -0.020294 Loss_G: 0.023452 Loss_D_real: -0.018771 Loss_D_fake 0.001523
[1333/5000][405/535][137555] Loss_D: -0.019419 Loss_G: 0.015665 Loss_D_real: -0.020649 Loss_D_fake -0.001230
[1333/5000][410/535][137556] Loss_D: -0.019047 Loss_G: 0.015374 Loss_D_real: -0.012285 Loss_D_fake 0.006761
[1333/5000][415/535][137557] Loss_D: -0.019298 Loss_G: 0.006540 Loss_D_real: -0.007102 Loss_D_fake 0.012196
[1333/5000][420/535][137558] Loss_D: -0.019644 Loss_G: 0.002967 Loss_D_real: -0.001195 Loss_D_fake 0.018449
[1333/5000][425/535][137559] Loss_D: -0.019057 Loss_G: 0.010233 Loss_D_real: -0.023167 Loss_D_fake -0.004110
[1333/5000][430/535][137560] Loss_D: -0.019978 Loss_G: 0.012320 Loss_D_real: -0.017562 Loss_D_fake 0.002416
[1333/5000][435/535][137561] Loss_D: -0.018953 Loss_G: 0.019635 Loss_D_real: -0.027199 Loss_D_fake -0.008246
[1333/5000][440/535][137562] Loss_D: -0.019740 Loss_G: -0.005592 Loss_D_real: -0.006537 Loss_D_fake 0.013203
[1333/5000][445/535][137563] Loss_D: -0.017804 Loss_G: 0.011265 Loss_D_real: -0.021335 Loss_D_fake -0.003531
[1333/5000][450/535][137564] Loss_D: -0.019184 Loss_G: 0.020227 Loss_D_real: -0.012996 Loss_D_fake 0.006188
[1333/5000][455/535][137565] Loss_D: -0.020609 Loss_G: 0.022738 Loss_D_real: -0.017963 Loss_D_fake 0.002645
[1333/5000][460/535][137566] Loss_D: -0.019753 Loss_G: 0.026951 Loss_D_real: -0.024750 Loss_D_fake -0.004997
[1333/5000][465/535][137567] Loss_D: -0.019316 Loss_G: 0.022616 Loss_D_real: -0.029497 Loss_D_fake -0.010181
[1333/5000][470/535][137568] Loss_D: -0.020616 Loss_G: 0.011493 Loss_D_real: -0.011336 Loss_D_fake 0.009280
[1333/5000][475/535][137569] Loss_D: -0.020452 Loss_G: -0.006104 Loss_D_real: -0.015507 Loss_D_fake 0.004945
[1333/5000][480/535][137570] Loss_D: -0.019423 Loss_G: 0.020080 Loss_D_real: -0.016339 Loss_D_fake 0.003084
[1333/5000][485/535][137571] Loss_D: -0.020172 Loss_G: 0.010859 Loss_D_real: -0.026111 Loss_D_fake -0.005939
[1333/5000][490/535][137572] Loss_D: -0.019439 Loss_G: 0.002369 Loss_D_real: 0.000240 Loss_D_fake 0.019679
[1333/5000][495/535][137573] Loss_D: -0.019767 Loss_G: 0.011569 Loss_D_real: -0.018482 Loss_D_fake 0.001286
[1333/5000][500/535][137574] Loss_D: -0.020165 Loss_G: -0.019514 Loss_D_real: -0.010647 Loss_D_fake 0.009518
[1333/5000][505/535][137575] Loss_D: -0.018063 Loss_G: 0.023062 Loss_D_real: -0.031115 Loss_D_fake -0.013052
[1333/5000][510/535][137576] Loss_D: -0.020153 Loss_G: 0.018978 Loss_D_real: -0.013225 Loss_D_fake 0.006928
[1333/5000][515/535][137577] Loss_D: -0.018757 Loss_G: 0.004618 Loss_D_real: -0.008198 Loss_D_fake 0.010559
[1333/5000][520/535][137578] Loss_D: -0.019901 Loss_G: 0.011224 Loss_D_real: -0.012635 Loss_D_fake 0.007266
[1333/5000][525/535][137579] Loss_D: -0.020713 Loss_G: 0.019541 Loss_D_real: -0.018629 Loss_D_fake 0.002083
[1333/5000][530/535][137580] Loss_D: -0.019562 Loss_G: 0.022753 Loss_D_real: -0.023232 Loss_D_fake -0.003671
[1333/5000][535/535][137581] Loss_D: -0.018690 Loss_G: 0.018010 Loss_D_real: -0.030443 Loss_D_fake -0.011753
[1334/5000][5/535][137582] Loss_D: -0.021056 Loss_G: 0.029206 Loss_D_real: -0.020799 Loss_D_fake 0.000257
[1334/5000][10/535][137583] Loss_D: -0.021268 Loss_G: 0.006831 Loss_D_real: -0.016876 Loss_D_fake 0.004392
[1334/5000][15/535][137584] Loss_D: -0.020596 Loss_G: -0.000845 Loss_D_real: -0.008700 Loss_D_fake 0.011896
[1334/5000][20/535][137585] Loss_D: -0.019006 Loss_G: 0.003653 Loss_D_real: -0.018513 Loss_D_fake 0.000494
[1334/5000][25/535][137586] Loss_D: -0.021004 Loss_G: 0.001076 Loss_D_real: -0.011054 Loss_D_fake 0.009949
[1334/5000][30/535][137587] Loss_D: -0.019677 Loss_G: 0.000319 Loss_D_real: -0.011112 Loss_D_fake 0.008565
[1334/5000][35/535][137588] Loss_D: -0.018312 Loss_G: 0.000996 Loss_D_real: -0.007100 Loss_D_fake 0.011213
[1334/5000][40/535][137589] Loss_D: -0.020038 Loss_G: 0.018441 Loss_D_real: -0.020683 Loss_D_fake -0.000645
[1334/5000][45/535][137590] Loss_D: -0.018631 Loss_G: 0.018320 Loss_D_real: -0.032256 Loss_D_fake -0.013626
[1334/5000][50/535][137591] Loss_D: -0.019921 Loss_G: 0.020019 Loss_D_real: -0.028259 Loss_D_fake -0.008338
[1334/5000][55/535][137592] Loss_D: -0.018680 Loss_G: 0.030662 Loss_D_real: -0.039445 Loss_D_fake -0.020765
[1334/5000][60/535][137593] Loss_D: -0.019179 Loss_G: 0.014396 Loss_D_real: -0.014685 Loss_D_fake 0.004494
[1334/5000][65/535][137594] Loss_D: -0.019724 Loss_G: 0.000918 Loss_D_real: -0.013455 Loss_D_fake 0.006269
[1334/5000][70/535][137595] Loss_D: -0.022000 Loss_G: 0.018292 Loss_D_real: -0.021386 Loss_D_fake 0.000614
[1334/5000][75/535][137596] Loss_D: -0.019768 Loss_G: -0.009434 Loss_D_real: -0.005590 Loss_D_fake 0.014178
[1334/5000][80/535][137597] Loss_D: -0.019741 Loss_G: 0.006145 Loss_D_real: -0.006577 Loss_D_fake 0.013163
[1334/5000][85/535][137598] Loss_D: -0.020780 Loss_G: 0.005402 Loss_D_real: -0.012712 Loss_D_fake 0.008068
[1334/5000][90/535][137599] Loss_D: -0.019502 Loss_G: 0.020331 Loss_D_real: -0.011584 Loss_D_fake 0.007919
[1334/5000][95/535][137600] Loss_D: -0.018908 Loss_G: 0.008709 Loss_D_real: -0.018628 Loss_D_fake 0.000280
[1334/5000][100/535][137601] Loss_D: -0.019700 Loss_G: 0.018672 Loss_D_real: -0.009011 Loss_D_fake 0.010689
[1334/5000][105/535][137602] Loss_D: -0.019985 Loss_G: -0.006619 Loss_D_real: -0.007047 Loss_D_fake 0.012937
[1334/5000][110/535][137603] Loss_D: -0.019824 Loss_G: 0.016394 Loss_D_real: -0.023435 Loss_D_fake -0.003611
[1334/5000][115/535][137604] Loss_D: -0.019573 Loss_G: -0.009064 Loss_D_real: -0.011628 Loss_D_fake 0.007946
[1334/5000][120/535][137605] Loss_D: -0.021848 Loss_G: 0.030940 Loss_D_real: -0.024668 Loss_D_fake -0.002821
[1334/5000][125/535][137606] Loss_D: -0.019808 Loss_G: 0.000206 Loss_D_real: -0.016646 Loss_D_fake 0.003162
[1334/5000][130/535][137607] Loss_D: -0.020361 Loss_G: 0.017733 Loss_D_real: -0.029961 Loss_D_fake -0.009601
[1334/5000][135/535][137608] Loss_D: -0.019209 Loss_G: 0.016103 Loss_D_real: -0.006777 Loss_D_fake 0.012431
[1334/5000][140/535][137609] Loss_D: -0.020851 Loss_G: 0.005538 Loss_D_real: -0.003507 Loss_D_fake 0.017344
[1334/5000][145/535][137610] Loss_D: -0.018101 Loss_G: -0.015324 Loss_D_real: -0.002614 Loss_D_fake 0.015487
[1334/5000][150/535][137611] Loss_D: -0.018092 Loss_G: 0.008001 Loss_D_real: -0.012673 Loss_D_fake 0.005418
[1334/5000][155/535][137612] Loss_D: -0.020626 Loss_G: 0.020060 Loss_D_real: -0.013124 Loss_D_fake 0.007503
[1334/5000][160/535][137613] Loss_D: -0.019727 Loss_G: 0.017693 Loss_D_real: -0.010855 Loss_D_fake 0.008873
[1334/5000][165/535][137614] Loss_D: -0.020254 Loss_G: 0.002933 Loss_D_real: -0.012020 Loss_D_fake 0.008234
[1334/5000][170/535][137615] Loss_D: -0.019520 Loss_G: 0.025705 Loss_D_real: -0.029564 Loss_D_fake -0.010043
[1334/5000][175/535][137616] Loss_D: -0.018516 Loss_G: -0.017129 Loss_D_real: 0.009573 Loss_D_fake 0.028089
[1334/5000][180/535][137617] Loss_D: -0.019472 Loss_G: -0.011329 Loss_D_real: -0.007002 Loss_D_fake 0.012471
[1334/5000][185/535][137618] Loss_D: -0.018031 Loss_G: 0.002548 Loss_D_real: -0.004631 Loss_D_fake 0.013399
[1334/5000][190/535][137619] Loss_D: -0.019196 Loss_G: 0.010587 Loss_D_real: -0.018749 Loss_D_fake 0.000447
[1334/5000][195/535][137620] Loss_D: -0.018524 Loss_G: 0.029186 Loss_D_real: -0.028043 Loss_D_fake -0.009519
[1334/5000][200/535][137621] Loss_D: -0.018927 Loss_G: 0.010215 Loss_D_real: -0.015311 Loss_D_fake 0.003616
[1334/5000][205/535][137622] Loss_D: -0.019660 Loss_G: 0.001458 Loss_D_real: -0.020020 Loss_D_fake -0.000360
[1334/5000][210/535][137623] Loss_D: -0.019721 Loss_G: 0.000263 Loss_D_real: -0.012238 Loss_D_fake 0.007483
[1334/5000][215/535][137624] Loss_D: -0.019462 Loss_G: 0.004067 Loss_D_real: -0.011744 Loss_D_fake 0.007717
[1334/5000][220/535][137625] Loss_D: -0.018886 Loss_G: 0.005930 Loss_D_real: -0.006649 Loss_D_fake 0.012237
[1334/5000][225/535][137626] Loss_D: -0.020887 Loss_G: 0.025548 Loss_D_real: -0.013600 Loss_D_fake 0.007287
[1334/5000][230/535][137627] Loss_D: -0.020590 Loss_G: 0.008952 Loss_D_real: -0.017956 Loss_D_fake 0.002634
[1334/5000][235/535][137628] Loss_D: -0.019662 Loss_G: 0.018518 Loss_D_real: -0.023960 Loss_D_fake -0.004298
[1334/5000][240/535][137629] Loss_D: -0.019619 Loss_G: 0.008729 Loss_D_real: -0.017317 Loss_D_fake 0.002302
[1334/5000][245/535][137630] Loss_D: -0.020522 Loss_G: 0.020153 Loss_D_real: -0.015441 Loss_D_fake 0.005081
[1334/5000][250/535][137631] Loss_D: -0.020911 Loss_G: 0.003216 Loss_D_real: -0.017689 Loss_D_fake 0.003222
[1334/5000][255/535][137632] Loss_D: -0.019577 Loss_G: 0.017158 Loss_D_real: -0.024967 Loss_D_fake -0.005390
[1334/5000][260/535][137633] Loss_D: -0.019541 Loss_G: 0.004883 Loss_D_real: -0.017966 Loss_D_fake 0.001575
[1334/5000][265/535][137634] Loss_D: -0.018822 Loss_G: -0.012845 Loss_D_real: 0.006282 Loss_D_fake 0.025104
[1334/5000][270/535][137635] Loss_D: -0.020559 Loss_G: 0.012972 Loss_D_real: -0.010135 Loss_D_fake 0.010424
[1334/5000][275/535][137636] Loss_D: -0.020344 Loss_G: 0.002982 Loss_D_real: -0.014062 Loss_D_fake 0.006281
[1334/5000][280/535][137637] Loss_D: -0.020351 Loss_G: 0.020398 Loss_D_real: -0.008889 Loss_D_fake 0.011462
[1334/5000][285/535][137638] Loss_D: -0.020234 Loss_G: 0.013402 Loss_D_real: -0.018388 Loss_D_fake 0.001846
[1334/5000][290/535][137639] Loss_D: -0.021549 Loss_G: -0.003782 Loss_D_real: -0.018648 Loss_D_fake 0.002901
[1334/5000][295/535][137640] Loss_D: -0.019779 Loss_G: -0.010756 Loss_D_real: 0.000109 Loss_D_fake 0.019889
[1334/5000][300/535][137641] Loss_D: -0.019000 Loss_G: 0.007969 Loss_D_real: -0.009993 Loss_D_fake 0.009006
[1334/5000][305/535][137642] Loss_D: -0.019934 Loss_G: -0.012016 Loss_D_real: -0.016014 Loss_D_fake 0.003920
[1334/5000][310/535][137643] Loss_D: -0.019940 Loss_G: 0.018086 Loss_D_real: -0.013874 Loss_D_fake 0.006066
[1334/5000][315/535][137644] Loss_D: -0.017838 Loss_G: 0.025687 Loss_D_real: -0.022197 Loss_D_fake -0.004358
[1334/5000][320/535][137645] Loss_D: -0.018885 Loss_G: 0.026380 Loss_D_real: -0.015827 Loss_D_fake 0.003058
[1334/5000][325/535][137646] Loss_D: -0.020523 Loss_G: 0.007215 Loss_D_real: -0.017246 Loss_D_fake 0.003277
[1334/5000][330/535][137647] Loss_D: -0.020573 Loss_G: 0.003578 Loss_D_real: -0.021253 Loss_D_fake -0.000680
[1334/5000][335/535][137648] Loss_D: -0.020501 Loss_G: 0.010095 Loss_D_real: -0.017785 Loss_D_fake 0.002715
[1334/5000][340/535][137649] Loss_D: -0.019488 Loss_G: 0.017473 Loss_D_real: -0.019299 Loss_D_fake 0.000189
[1334/5000][345/535][137650] Loss_D: -0.019750 Loss_G: -0.000623 Loss_D_real: -0.007159 Loss_D_fake 0.012591
[1334/5000][350/535][137651] Loss_D: -0.017790 Loss_G: 0.025476 Loss_D_real: -0.026836 Loss_D_fake -0.009046
[1334/5000][355/535][137652] Loss_D: -0.017979 Loss_G: 0.012850 Loss_D_real: -0.013622 Loss_D_fake 0.004357
[1334/5000][360/535][137653] Loss_D: -0.019733 Loss_G: 0.012936 Loss_D_real: -0.028930 Loss_D_fake -0.009197
[1334/5000][365/535][137654] Loss_D: -0.018106 Loss_G: 0.014304 Loss_D_real: -0.015044 Loss_D_fake 0.003062
[1334/5000][370/535][137655] Loss_D: -0.020353 Loss_G: 0.001950 Loss_D_real: -0.002133 Loss_D_fake 0.018220
[1334/5000][375/535][137656] Loss_D: -0.019165 Loss_G: 0.019299 Loss_D_real: -0.032616 Loss_D_fake -0.013451
[1334/5000][380/535][137657] Loss_D: -0.020297 Loss_G: 0.005725 Loss_D_real: -0.010047 Loss_D_fake 0.010250
[1334/5000][385/535][137658] Loss_D: -0.020262 Loss_G: 0.015890 Loss_D_real: -0.015177 Loss_D_fake 0.005086
[1334/5000][390/535][137659] Loss_D: -0.020025 Loss_G: 0.000326 Loss_D_real: -0.003130 Loss_D_fake 0.016894
[1334/5000][395/535][137660] Loss_D: -0.020665 Loss_G: 0.004576 Loss_D_real: -0.018335 Loss_D_fake 0.002330
[1334/5000][400/535][137661] Loss_D: -0.020271 Loss_G: 0.017485 Loss_D_real: -0.022695 Loss_D_fake -0.002424
[1334/5000][405/535][137662] Loss_D: -0.018869 Loss_G: 0.017124 Loss_D_real: -0.022581 Loss_D_fake -0.003712
[1334/5000][410/535][137663] Loss_D: -0.018556 Loss_G: 0.016682 Loss_D_real: -0.009915 Loss_D_fake 0.008640
[1334/5000][415/535][137664] Loss_D: -0.019639 Loss_G: 0.013144 Loss_D_real: -0.012128 Loss_D_fake 0.007511
[1334/5000][420/535][137665] Loss_D: -0.020510 Loss_G: 0.005071 Loss_D_real: -0.021191 Loss_D_fake -0.000680
[1334/5000][425/535][137666] Loss_D: -0.020644 Loss_G: 0.017956 Loss_D_real: -0.023085 Loss_D_fake -0.002441
[1334/5000][430/535][137667] Loss_D: -0.021216 Loss_G: -0.007395 Loss_D_real: -0.010204 Loss_D_fake 0.011012
[1334/5000][435/535][137668] Loss_D: -0.018595 Loss_G: 0.007263 Loss_D_real: -0.003621 Loss_D_fake 0.014974
[1334/5000][440/535][137669] Loss_D: -0.019312 Loss_G: -0.003426 Loss_D_real: 0.003550 Loss_D_fake 0.022861
[1334/5000][445/535][137670] Loss_D: -0.019808 Loss_G: 0.008889 Loss_D_real: -0.009001 Loss_D_fake 0.010807
[1334/5000][450/535][137671] Loss_D: -0.017973 Loss_G: 0.020713 Loss_D_real: -0.024144 Loss_D_fake -0.006172
[1334/5000][455/535][137672] Loss_D: -0.019307 Loss_G: 0.008542 Loss_D_real: -0.001851 Loss_D_fake 0.017455
[1334/5000][460/535][137673] Loss_D: -0.019905 Loss_G: 0.019431 Loss_D_real: -0.017989 Loss_D_fake 0.001917
[1334/5000][465/535][137674] Loss_D: -0.019752 Loss_G: -0.012489 Loss_D_real: 0.005072 Loss_D_fake 0.024824
[1334/5000][470/535][137675] Loss_D: -0.018851 Loss_G: 0.008671 Loss_D_real: -0.016005 Loss_D_fake 0.002845
[1334/5000][475/535][137676] Loss_D: -0.018764 Loss_G: 0.025473 Loss_D_real: -0.023043 Loss_D_fake -0.004279
[1334/5000][480/535][137677] Loss_D: -0.019173 Loss_G: 0.018722 Loss_D_real: -0.028922 Loss_D_fake -0.009749
[1334/5000][485/535][137678] Loss_D: -0.020545 Loss_G: 0.009666 Loss_D_real: -0.009387 Loss_D_fake 0.011158
[1334/5000][490/535][137679] Loss_D: -0.020867 Loss_G: -0.011924 Loss_D_real: -0.015757 Loss_D_fake 0.005110
[1334/5000][495/535][137680] Loss_D: -0.020303 Loss_G: 0.018091 Loss_D_real: -0.020940 Loss_D_fake -0.000637
[1334/5000][500/535][137681] Loss_D: -0.020535 Loss_G: 0.022250 Loss_D_real: -0.022856 Loss_D_fake -0.002321
[1334/5000][505/535][137682] Loss_D: -0.020810 Loss_G: 0.006115 Loss_D_real: -0.016369 Loss_D_fake 0.004441
[1334/5000][510/535][137683] Loss_D: -0.020205 Loss_G: 0.003146 Loss_D_real: -0.015949 Loss_D_fake 0.004257
[1334/5000][515/535][137684] Loss_D: -0.018820 Loss_G: 0.024537 Loss_D_real: -0.029646 Loss_D_fake -0.010826
[1334/5000][520/535][137685] Loss_D: -0.019532 Loss_G: 0.003907 Loss_D_real: -0.006329 Loss_D_fake 0.013203
[1334/5000][525/535][137686] Loss_D: -0.018528 Loss_G: -0.013322 Loss_D_real: 0.007638 Loss_D_fake 0.026166
[1334/5000][530/535][137687] Loss_D: -0.019055 Loss_G: 0.022084 Loss_D_real: -0.016646 Loss_D_fake 0.002409
[1334/5000][535/535][137688] Loss_D: -0.018214 Loss_G: 0.030334 Loss_D_real: -0.004218 Loss_D_fake 0.013996
[1335/5000][5/535][137689] Loss_D: -0.018930 Loss_G: 0.018647 Loss_D_real: -0.019051 Loss_D_fake -0.000121
[1335/5000][10/535][137690] Loss_D: -0.020200 Loss_G: -0.006647 Loss_D_real: -0.014866 Loss_D_fake 0.005335
[1335/5000][15/535][137691] Loss_D: -0.019793 Loss_G: -0.001847 Loss_D_real: -0.014858 Loss_D_fake 0.004935
[1335/5000][20/535][137692] Loss_D: -0.020574 Loss_G: 0.008920 Loss_D_real: -0.012122 Loss_D_fake 0.008452
[1335/5000][25/535][137693] Loss_D: -0.020508 Loss_G: 0.012827 Loss_D_real: -0.011229 Loss_D_fake 0.009278
[1335/5000][30/535][137694] Loss_D: -0.019293 Loss_G: 0.007284 Loss_D_real: -0.019098 Loss_D_fake 0.000196
[1335/5000][35/535][137695] Loss_D: -0.019285 Loss_G: -0.005086 Loss_D_real: -0.008566 Loss_D_fake 0.010719
[1335/5000][40/535][137696] Loss_D: -0.018581 Loss_G: 0.021338 Loss_D_real: -0.027319 Loss_D_fake -0.008738
[1335/5000][45/535][137697] Loss_D: -0.018988 Loss_G: 0.003533 Loss_D_real: -0.005648 Loss_D_fake 0.013340
[1335/5000][50/535][137698] Loss_D: -0.021057 Loss_G: -0.002807 Loss_D_real: -0.007911 Loss_D_fake 0.013146
[1335/5000][55/535][137699] Loss_D: -0.020564 Loss_G: 0.006878 Loss_D_real: -0.018780 Loss_D_fake 0.001784
[1335/5000][60/535][137700] Loss_D: -0.021025 Loss_G: 0.009704 Loss_D_real: -0.012075 Loss_D_fake 0.008950
[1335/5000][65/535][137701] Loss_D: -0.019561 Loss_G: 0.014948 Loss_D_real: -0.015909 Loss_D_fake 0.003653
[1335/5000][70/535][137702] Loss_D: -0.019978 Loss_G: -0.003551 Loss_D_real: 0.001936 Loss_D_fake 0.021914
[1335/5000][75/535][137703] Loss_D: -0.019950 Loss_G: 0.022663 Loss_D_real: -0.015371 Loss_D_fake 0.004579
[1335/5000][80/535][137704] Loss_D: -0.018717 Loss_G: 0.009496 Loss_D_real: -0.014753 Loss_D_fake 0.003964
[1335/5000][85/535][137705] Loss_D: -0.019905 Loss_G: 0.005709 Loss_D_real: -0.012899 Loss_D_fake 0.007005
[1335/5000][90/535][137706] Loss_D: -0.019565 Loss_G: 0.021893 Loss_D_real: -0.012883 Loss_D_fake 0.006682
[1335/5000][95/535][137707] Loss_D: -0.019543 Loss_G: 0.006238 Loss_D_real: -0.026041 Loss_D_fake -0.006498
[1335/5000][100/535][137708] Loss_D: -0.017771 Loss_G: 0.025309 Loss_D_real: -0.025401 Loss_D_fake -0.007631
[1335/5000][105/535][137709] Loss_D: -0.018604 Loss_G: 0.014002 Loss_D_real: -0.025701 Loss_D_fake -0.007096
[1335/5000][110/535][137710] Loss_D: -0.017869 Loss_G: -0.015032 Loss_D_real: 0.006554 Loss_D_fake 0.024423
[1335/5000][115/535][137711] Loss_D: -0.017893 Loss_G: 0.020710 Loss_D_real: -0.024031 Loss_D_fake -0.006137
[1335/5000][120/535][137712] Loss_D: -0.020682 Loss_G: -0.007447 Loss_D_real: 0.007648 Loss_D_fake 0.028331
[1335/5000][125/535][137713] Loss_D: -0.018134 Loss_G: -0.014256 Loss_D_real: 0.003648 Loss_D_fake 0.021781
[1335/5000][130/535][137714] Loss_D: -0.019491 Loss_G: 0.001133 Loss_D_real: -0.014084 Loss_D_fake 0.005408
[1335/5000][135/535][137715] Loss_D: -0.019409 Loss_G: -0.011467 Loss_D_real: -0.001154 Loss_D_fake 0.018255
[1335/5000][140/535][137716] Loss_D: -0.020059 Loss_G: 0.025191 Loss_D_real: -0.017564 Loss_D_fake 0.002494
[1335/5000][145/535][137717] Loss_D: -0.019829 Loss_G: 0.002722 Loss_D_real: -0.008935 Loss_D_fake 0.010894
[1335/5000][150/535][137718] Loss_D: -0.019008 Loss_G: 0.012998 Loss_D_real: -0.014997 Loss_D_fake 0.004011
[1335/5000][155/535][137719] Loss_D: -0.019975 Loss_G: 0.005368 Loss_D_real: -0.014858 Loss_D_fake 0.005116
[1335/5000][160/535][137720] Loss_D: -0.019381 Loss_G: 0.017200 Loss_D_real: -0.007372 Loss_D_fake 0.012009
[1335/5000][165/535][137721] Loss_D: -0.019567 Loss_G: 0.006175 Loss_D_real: 0.000260 Loss_D_fake 0.019827
[1335/5000][170/535][137722] Loss_D: -0.019795 Loss_G: 0.021162 Loss_D_real: -0.017253 Loss_D_fake 0.002542
[1335/5000][175/535][137723] Loss_D: -0.019121 Loss_G: -0.010530 Loss_D_real: 0.005771 Loss_D_fake 0.024892
[1335/5000][180/535][137724] Loss_D: -0.020321 Loss_G: -0.001787 Loss_D_real: -0.018370 Loss_D_fake 0.001951
[1335/5000][185/535][137725] Loss_D: -0.019764 Loss_G: 0.021155 Loss_D_real: -0.021937 Loss_D_fake -0.002172
[1335/5000][190/535][137726] Loss_D: -0.020170 Loss_G: 0.012059 Loss_D_real: -0.003951 Loss_D_fake 0.016219
[1335/5000][195/535][137727] Loss_D: -0.019667 Loss_G: 0.015280 Loss_D_real: -0.021784 Loss_D_fake -0.002118
[1335/5000][200/535][137728] Loss_D: -0.020901 Loss_G: 0.011492 Loss_D_real: -0.013617 Loss_D_fake 0.007283
[1335/5000][205/535][137729] Loss_D: -0.019397 Loss_G: 0.001674 Loss_D_real: -0.011430 Loss_D_fake 0.007967
[1335/5000][210/535][137730] Loss_D: -0.020813 Loss_G: 0.016128 Loss_D_real: -0.014885 Loss_D_fake 0.005929
[1335/5000][215/535][137731] Loss_D: -0.018363 Loss_G: 0.018947 Loss_D_real: -0.022984 Loss_D_fake -0.004622
[1335/5000][220/535][137732] Loss_D: -0.020478 Loss_G: 0.008990 Loss_D_real: -0.012274 Loss_D_fake 0.008205
[1335/5000][225/535][137733] Loss_D: -0.019932 Loss_G: 0.029133 Loss_D_real: -0.020021 Loss_D_fake -0.000089
[1335/5000][230/535][137734] Loss_D: -0.020336 Loss_G: 0.009148 Loss_D_real: -0.012336 Loss_D_fake 0.008000
[1335/5000][235/535][137735] Loss_D: -0.020781 Loss_G: 0.022547 Loss_D_real: -0.022807 Loss_D_fake -0.002026
[1335/5000][240/535][137736] Loss_D: -0.021364 Loss_G: 0.000806 Loss_D_real: -0.021312 Loss_D_fake 0.000052
[1335/5000][245/535][137737] Loss_D: -0.017896 Loss_G: 0.015794 Loss_D_real: -0.026954 Loss_D_fake -0.009058
[1335/5000][250/535][137738] Loss_D: -0.021062 Loss_G: 0.015743 Loss_D_real: -0.020143 Loss_D_fake 0.000919
[1335/5000][255/535][137739] Loss_D: -0.019089 Loss_G: 0.018919 Loss_D_real: -0.028679 Loss_D_fake -0.009591
[1335/5000][260/535][137740] Loss_D: -0.020822 Loss_G: 0.011680 Loss_D_real: -0.024973 Loss_D_fake -0.004151
[1335/5000][265/535][137741] Loss_D: -0.019330 Loss_G: -0.002561 Loss_D_real: -0.002603 Loss_D_fake 0.016728
[1335/5000][270/535][137742] Loss_D: -0.020780 Loss_G: -0.003244 Loss_D_real: -0.004670 Loss_D_fake 0.016110
[1335/5000][275/535][137743] Loss_D: -0.019009 Loss_G: 0.012417 Loss_D_real: -0.011951 Loss_D_fake 0.007058
[1335/5000][280/535][137744] Loss_D: -0.019849 Loss_G: -0.010000 Loss_D_real: -0.005903 Loss_D_fake 0.013946
[1335/5000][285/535][137745] Loss_D: -0.019368 Loss_G: 0.009732 Loss_D_real: -0.021555 Loss_D_fake -0.002187
[1335/5000][290/535][137746] Loss_D: -0.019947 Loss_G: -0.000584 Loss_D_real: -0.004289 Loss_D_fake 0.015658
[1335/5000][295/535][137747] Loss_D: -0.020684 Loss_G: 0.015707 Loss_D_real: -0.009124 Loss_D_fake 0.011560
[1335/5000][300/535][137748] Loss_D: -0.020019 Loss_G: 0.018170 Loss_D_real: -0.022885 Loss_D_fake -0.002867
[1335/5000][305/535][137749] Loss_D: -0.019406 Loss_G: -0.011304 Loss_D_real: -0.006921 Loss_D_fake 0.012485
[1335/5000][310/535][137750] Loss_D: -0.019265 Loss_G: -0.010089 Loss_D_real: -0.003448 Loss_D_fake 0.015818
[1335/5000][315/535][137751] Loss_D: -0.018661 Loss_G: 0.014810 Loss_D_real: -0.016810 Loss_D_fake 0.001850
[1335/5000][320/535][137752] Loss_D: -0.019121 Loss_G: 0.010445 Loss_D_real: -0.008497 Loss_D_fake 0.010624
[1335/5000][325/535][137753] Loss_D: -0.019149 Loss_G: 0.000015 Loss_D_real: -0.011702 Loss_D_fake 0.007446
[1335/5000][330/535][137754] Loss_D: -0.019852 Loss_G: 0.012139 Loss_D_real: 0.005180 Loss_D_fake 0.025032
[1335/5000][335/535][137755] Loss_D: -0.020366 Loss_G: 0.005076 Loss_D_real: -0.021036 Loss_D_fake -0.000670
[1335/5000][340/535][137756] Loss_D: -0.018292 Loss_G: 0.029422 Loss_D_real: -0.031820 Loss_D_fake -0.013528
[1335/5000][345/535][137757] Loss_D: -0.020071 Loss_G: 0.002826 Loss_D_real: -0.017743 Loss_D_fake 0.002328
[1335/5000][350/535][137758] Loss_D: -0.019750 Loss_G: 0.009045 Loss_D_real: -0.014214 Loss_D_fake 0.005536
[1335/5000][355/535][137759] Loss_D: -0.019450 Loss_G: 0.005265 Loss_D_real: -0.006553 Loss_D_fake 0.012897
[1335/5000][360/535][137760] Loss_D: -0.019485 Loss_G: 0.014226 Loss_D_real: -0.011724 Loss_D_fake 0.007761
[1335/5000][365/535][137761] Loss_D: -0.019596 Loss_G: 0.027986 Loss_D_real: -0.018041 Loss_D_fake 0.001554
[1335/5000][370/535][137762] Loss_D: -0.020097 Loss_G: 0.005803 Loss_D_real: -0.015928 Loss_D_fake 0.004169
[1335/5000][375/535][137763] Loss_D: -0.019481 Loss_G: 0.013014 Loss_D_real: -0.014002 Loss_D_fake 0.005479
[1335/5000][380/535][137764] Loss_D: -0.019554 Loss_G: -0.011103 Loss_D_real: -0.004826 Loss_D_fake 0.014728
[1335/5000][385/535][137765] Loss_D: -0.019072 Loss_G: 0.018150 Loss_D_real: -0.013185 Loss_D_fake 0.005887
[1335/5000][390/535][137766] Loss_D: -0.018974 Loss_G: 0.005466 Loss_D_real: -0.014627 Loss_D_fake 0.004347
[1335/5000][395/535][137767] Loss_D: -0.019730 Loss_G: 0.018908 Loss_D_real: -0.016949 Loss_D_fake 0.002780
[1335/5000][400/535][137768] Loss_D: -0.019833 Loss_G: 0.020469 Loss_D_real: -0.026750 Loss_D_fake -0.006917
[1335/5000][405/535][137769] Loss_D: -0.019446 Loss_G: 0.022292 Loss_D_real: -0.032203 Loss_D_fake -0.012757
[1335/5000][410/535][137770] Loss_D: -0.019623 Loss_G: 0.008705 Loss_D_real: -0.009202 Loss_D_fake 0.010421
[1335/5000][415/535][137771] Loss_D: -0.018058 Loss_G: 0.024169 Loss_D_real: -0.035217 Loss_D_fake -0.017160
[1335/5000][420/535][137772] Loss_D: -0.019523 Loss_G: 0.029533 Loss_D_real: -0.023571 Loss_D_fake -0.004047
[1335/5000][425/535][137773] Loss_D: -0.018802 Loss_G: -0.007425 Loss_D_real: -0.003981 Loss_D_fake 0.014821
[1335/5000][430/535][137774] Loss_D: -0.019530 Loss_G: 0.009985 Loss_D_real: -0.024973 Loss_D_fake -0.005443
[1335/5000][435/535][137775] Loss_D: -0.019341 Loss_G: -0.000595 Loss_D_real: -0.004269 Loss_D_fake 0.015072
[1335/5000][440/535][137776] Loss_D: -0.020117 Loss_G: 0.001229 Loss_D_real: -0.009795 Loss_D_fake 0.010322
[1335/5000][445/535][137777] Loss_D: -0.019891 Loss_G: 0.014006 Loss_D_real: -0.005468 Loss_D_fake 0.014424
[1335/5000][450/535][137778] Loss_D: -0.020656 Loss_G: 0.002509 Loss_D_real: -0.013505 Loss_D_fake 0.007151
[1335/5000][455/535][137779] Loss_D: -0.021151 Loss_G: -0.002246 Loss_D_real: -0.011294 Loss_D_fake 0.009858
[1335/5000][460/535][137780] Loss_D: -0.019367 Loss_G: 0.010174 Loss_D_real: -0.007519 Loss_D_fake 0.011848
[1335/5000][465/535][137781] Loss_D: -0.020912 Loss_G: 0.003797 Loss_D_real: -0.017897 Loss_D_fake 0.003016
[1335/5000][470/535][137782] Loss_D: -0.020434 Loss_G: -0.003290 Loss_D_real: -0.008179 Loss_D_fake 0.012255
[1335/5000][475/535][137783] Loss_D: -0.020149 Loss_G: 0.009324 Loss_D_real: 0.001172 Loss_D_fake 0.021321
[1335/5000][480/535][137784] Loss_D: -0.019571 Loss_G: 0.010387 Loss_D_real: -0.000019 Loss_D_fake 0.019552
[1335/5000][485/535][137785] Loss_D: -0.020698 Loss_G: 0.003169 Loss_D_real: -0.016052 Loss_D_fake 0.004646
[1335/5000][490/535][137786] Loss_D: -0.019450 Loss_G: -0.004614 Loss_D_real: -0.004371 Loss_D_fake 0.015080
[1335/5000][495/535][137787] Loss_D: -0.019090 Loss_G: 0.014118 Loss_D_real: -0.017252 Loss_D_fake 0.001838
[1335/5000][500/535][137788] Loss_D: -0.019071 Loss_G: 0.013929 Loss_D_real: -0.019505 Loss_D_fake -0.000434
[1335/5000][505/535][137789] Loss_D: -0.020018 Loss_G: 0.005229 Loss_D_real: -0.003414 Loss_D_fake 0.016605
[1335/5000][510/535][137790] Loss_D: -0.019440 Loss_G: 0.022174 Loss_D_real: -0.019500 Loss_D_fake -0.000060
[1335/5000][515/535][137791] Loss_D: -0.019702 Loss_G: 0.001471 Loss_D_real: -0.005955 Loss_D_fake 0.013747
[1335/5000][520/535][137792] Loss_D: -0.020023 Loss_G: -0.006940 Loss_D_real: -0.011636 Loss_D_fake 0.008387
[1335/5000][525/535][137793] Loss_D: -0.019344 Loss_G: 0.007165 Loss_D_real: -0.015877 Loss_D_fake 0.003466
[1335/5000][530/535][137794] Loss_D: -0.020072 Loss_G: 0.016012 Loss_D_real: -0.025069 Loss_D_fake -0.004997
[1335/5000][535/535][137795] Loss_D: -0.020916 Loss_G: -0.002021 Loss_D_real: -0.016429 Loss_D_fake 0.004487
[1336/5000][5/535][137796] Loss_D: -0.020077 Loss_G: 0.022446 Loss_D_real: -0.017441 Loss_D_fake 0.002636
[1336/5000][10/535][137797] Loss_D: -0.020195 Loss_G: 0.000146 Loss_D_real: -0.003528 Loss_D_fake 0.016668
[1336/5000][15/535][137798] Loss_D: -0.020402 Loss_G: -0.002812 Loss_D_real: -0.013647 Loss_D_fake 0.006755
[1336/5000][20/535][137799] Loss_D: -0.018892 Loss_G: 0.007966 Loss_D_real: -0.000858 Loss_D_fake 0.018034
[1336/5000][25/535][137800] Loss_D: -0.017650 Loss_G: -0.008504 Loss_D_real: -0.002700 Loss_D_fake 0.014950
[1336/5000][30/535][137801] Loss_D: -0.018801 Loss_G: 0.008756 Loss_D_real: -0.014027 Loss_D_fake 0.004774
[1336/5000][35/535][137802] Loss_D: -0.019659 Loss_G: 0.009027 Loss_D_real: -0.013073 Loss_D_fake 0.006585
[1336/5000][40/535][137803] Loss_D: -0.019417 Loss_G: 0.001317 Loss_D_real: -0.011846 Loss_D_fake 0.007570
[1336/5000][45/535][137804] Loss_D: -0.019096 Loss_G: -0.007677 Loss_D_real: -0.000889 Loss_D_fake 0.018207
[1336/5000][50/535][137805] Loss_D: -0.019342 Loss_G: 0.010681 Loss_D_real: -0.014550 Loss_D_fake 0.004792
[1336/5000][55/535][137806] Loss_D: -0.019404 Loss_G: 0.002883 Loss_D_real: -0.004889 Loss_D_fake 0.014515
[1336/5000][60/535][137807] Loss_D: -0.020020 Loss_G: 0.016961 Loss_D_real: -0.026112 Loss_D_fake -0.006092
[1336/5000][65/535][137808] Loss_D: -0.020311 Loss_G: 0.018563 Loss_D_real: -0.011788 Loss_D_fake 0.008524
[1336/5000][70/535][137809] Loss_D: -0.020202 Loss_G: 0.027891 Loss_D_real: -0.023914 Loss_D_fake -0.003712
[1336/5000][75/535][137810] Loss_D: -0.020512 Loss_G: 0.016218 Loss_D_real: -0.025031 Loss_D_fake -0.004519
[1336/5000][80/535][137811] Loss_D: -0.019983 Loss_G: 0.004625 Loss_D_real: -0.027762 Loss_D_fake -0.007779
[1336/5000][85/535][137812] Loss_D: -0.020531 Loss_G: 0.000203 Loss_D_real: -0.006131 Loss_D_fake 0.014400
[1336/5000][90/535][137813] Loss_D: -0.018771 Loss_G: 0.008728 Loss_D_real: -0.025822 Loss_D_fake -0.007052
[1336/5000][95/535][137814] Loss_D: -0.018697 Loss_G: 0.024276 Loss_D_real: -0.033870 Loss_D_fake -0.015174
[1336/5000][100/535][137815] Loss_D: -0.018460 Loss_G: 0.008790 Loss_D_real: -0.011540 Loss_D_fake 0.006920
[1336/5000][105/535][137816] Loss_D: -0.019756 Loss_G: 0.000795 Loss_D_real: -0.012952 Loss_D_fake 0.006804
[1336/5000][110/535][137817] Loss_D: -0.018966 Loss_G: -0.013090 Loss_D_real: -0.000295 Loss_D_fake 0.018671
[1336/5000][115/535][137818] Loss_D: -0.020477 Loss_G: 0.026753 Loss_D_real: -0.025354 Loss_D_fake -0.004877
[1336/5000][120/535][137819] Loss_D: -0.020000 Loss_G: 0.014366 Loss_D_real: -0.020413 Loss_D_fake -0.000413
[1336/5000][125/535][137820] Loss_D: -0.019213 Loss_G: 0.006941 Loss_D_real: -0.014532 Loss_D_fake 0.004681
[1336/5000][130/535][137821] Loss_D: -0.019380 Loss_G: 0.001703 Loss_D_real: -0.001105 Loss_D_fake 0.018275
[1336/5000][135/535][137822] Loss_D: -0.019975 Loss_G: 0.032563 Loss_D_real: -0.023191 Loss_D_fake -0.003216
[1336/5000][140/535][137823] Loss_D: -0.019604 Loss_G: 0.010754 Loss_D_real: -0.006199 Loss_D_fake 0.013405
[1336/5000][145/535][137824] Loss_D: -0.018301 Loss_G: 0.016012 Loss_D_real: -0.018498 Loss_D_fake -0.000196
[1336/5000][150/535][137825] Loss_D: -0.020242 Loss_G: -0.002458 Loss_D_real: -0.012451 Loss_D_fake 0.007790
[1336/5000][155/535][137826] Loss_D: -0.020155 Loss_G: 0.022891 Loss_D_real: -0.014492 Loss_D_fake 0.005663
[1336/5000][160/535][137827] Loss_D: -0.021304 Loss_G: -0.009153 Loss_D_real: -0.005644 Loss_D_fake 0.015660
[1336/5000][165/535][137828] Loss_D: -0.019767 Loss_G: 0.009008 Loss_D_real: -0.003430 Loss_D_fake 0.016337
[1336/5000][170/535][137829] Loss_D: -0.018705 Loss_G: 0.019378 Loss_D_real: -0.014542 Loss_D_fake 0.004163
[1336/5000][175/535][137830] Loss_D: -0.018093 Loss_G: 0.027402 Loss_D_real: -0.022315 Loss_D_fake -0.004222
[1336/5000][180/535][137831] Loss_D: -0.019240 Loss_G: 0.006310 Loss_D_real: -0.013254 Loss_D_fake 0.005986
[1336/5000][185/535][137832] Loss_D: -0.018974 Loss_G: 0.032620 Loss_D_real: -0.021127 Loss_D_fake -0.002153
[1336/5000][190/535][137833] Loss_D: -0.020273 Loss_G: 0.007773 Loss_D_real: -0.022488 Loss_D_fake -0.002214
[1336/5000][195/535][137834] Loss_D: -0.021588 Loss_G: 0.012228 Loss_D_real: -0.014964 Loss_D_fake 0.006624
[1336/5000][200/535][137835] Loss_D: -0.020152 Loss_G: -0.002757 Loss_D_real: -0.011190 Loss_D_fake 0.008961
[1336/5000][205/535][137836] Loss_D: -0.021262 Loss_G: -0.008998 Loss_D_real: -0.002833 Loss_D_fake 0.018429
[1336/5000][210/535][137837] Loss_D: -0.020092 Loss_G: 0.019874 Loss_D_real: -0.028806 Loss_D_fake -0.008715
[1336/5000][215/535][137838] Loss_D: -0.020774 Loss_G: -0.004505 Loss_D_real: -0.016371 Loss_D_fake 0.004403
[1336/5000][220/535][137839] Loss_D: -0.019192 Loss_G: 0.009297 Loss_D_real: -0.010034 Loss_D_fake 0.009157
[1336/5000][225/535][137840] Loss_D: -0.019053 Loss_G: -0.003147 Loss_D_real: 0.001881 Loss_D_fake 0.020934
[1336/5000][230/535][137841] Loss_D: -0.019565 Loss_G: 0.005057 Loss_D_real: -0.005244 Loss_D_fake 0.014320
[1336/5000][235/535][137842] Loss_D: -0.020386 Loss_G: 0.011295 Loss_D_real: 0.005600 Loss_D_fake 0.025985
[1336/5000][240/535][137843] Loss_D: -0.019063 Loss_G: 0.033133 Loss_D_real: -0.032349 Loss_D_fake -0.013286
[1336/5000][245/535][137844] Loss_D: -0.019906 Loss_G: -0.009656 Loss_D_real: 0.001097 Loss_D_fake 0.021003
[1336/5000][250/535][137845] Loss_D: -0.018858 Loss_G: 0.003350 Loss_D_real: -0.011109 Loss_D_fake 0.007749
[1336/5000][255/535][137846] Loss_D: -0.020295 Loss_G: 0.007559 Loss_D_real: -0.013515 Loss_D_fake 0.006779
[1336/5000][260/535][137847] Loss_D: -0.020252 Loss_G: 0.011129 Loss_D_real: -0.013462 Loss_D_fake 0.006789
[1336/5000][265/535][137848] Loss_D: -0.019833 Loss_G: 0.013953 Loss_D_real: -0.020116 Loss_D_fake -0.000283
[1336/5000][270/535][137849] Loss_D: -0.020259 Loss_G: 0.008245 Loss_D_real: -0.022355 Loss_D_fake -0.002096
[1336/5000][275/535][137850] Loss_D: -0.020633 Loss_G: 0.012388 Loss_D_real: -0.013051 Loss_D_fake 0.007581
[1336/5000][280/535][137851] Loss_D: -0.019629 Loss_G: 0.021715 Loss_D_real: -0.025559 Loss_D_fake -0.005930
[1336/5000][285/535][137852] Loss_D: -0.021259 Loss_G: -0.002008 Loss_D_real: -0.010160 Loss_D_fake 0.011099
[1336/5000][290/535][137853] Loss_D: -0.020369 Loss_G: 0.013501 Loss_D_real: -0.009888 Loss_D_fake 0.010480
[1336/5000][295/535][137854] Loss_D: -0.020540 Loss_G: 0.006460 Loss_D_real: -0.018986 Loss_D_fake 0.001554
[1336/5000][300/535][137855] Loss_D: -0.019366 Loss_G: 0.003588 Loss_D_real: -0.021764 Loss_D_fake -0.002398
[1336/5000][305/535][137856] Loss_D: -0.019928 Loss_G: -0.005504 Loss_D_real: 0.000151 Loss_D_fake 0.020079
[1336/5000][310/535][137857] Loss_D: -0.018889 Loss_G: 0.029885 Loss_D_real: -0.023389 Loss_D_fake -0.004500
[1336/5000][315/535][137858] Loss_D: -0.019808 Loss_G: 0.011580 Loss_D_real: -0.020504 Loss_D_fake -0.000696
[1336/5000][320/535][137859] Loss_D: -0.020508 Loss_G: 0.006285 Loss_D_real: -0.012553 Loss_D_fake 0.007955
[1336/5000][325/535][137860] Loss_D: -0.017523 Loss_G: 0.003760 Loss_D_real: -0.011672 Loss_D_fake 0.005851
[1336/5000][330/535][137861] Loss_D: -0.021019 Loss_G: 0.024172 Loss_D_real: -0.023130 Loss_D_fake -0.002112
[1336/5000][335/535][137862] Loss_D: -0.018288 Loss_G: -0.012638 Loss_D_real: -0.010131 Loss_D_fake 0.008157
[1336/5000][340/535][137863] Loss_D: -0.020180 Loss_G: 0.014422 Loss_D_real: -0.016011 Loss_D_fake 0.004169
[1336/5000][345/535][137864] Loss_D: -0.021265 Loss_G: 0.007435 Loss_D_real: -0.017134 Loss_D_fake 0.004130
[1336/5000][350/535][137865] Loss_D: -0.020278 Loss_G: -0.004337 Loss_D_real: -0.004266 Loss_D_fake 0.016011
[1336/5000][355/535][137866] Loss_D: -0.019489 Loss_G: 0.007461 Loss_D_real: -0.014710 Loss_D_fake 0.004779
[1336/5000][360/535][137867] Loss_D: -0.020051 Loss_G: 0.018615 Loss_D_real: -0.016008 Loss_D_fake 0.004042
[1336/5000][365/535][137868] Loss_D: -0.020754 Loss_G: 0.019416 Loss_D_real: -0.023620 Loss_D_fake -0.002865
[1336/5000][370/535][137869] Loss_D: -0.019891 Loss_G: 0.012689 Loss_D_real: -0.024101 Loss_D_fake -0.004210
[1336/5000][375/535][137870] Loss_D: -0.020349 Loss_G: 0.008948 Loss_D_real: -0.010539 Loss_D_fake 0.009810
[1336/5000][380/535][137871] Loss_D: -0.020476 Loss_G: 0.018967 Loss_D_real: -0.023409 Loss_D_fake -0.002933
[1336/5000][385/535][137872] Loss_D: -0.017941 Loss_G: 0.004466 Loss_D_real: 0.003151 Loss_D_fake 0.021092
[1336/5000][390/535][137873] Loss_D: -0.019331 Loss_G: 0.020887 Loss_D_real: -0.034207 Loss_D_fake -0.014875
[1336/5000][395/535][137874] Loss_D: -0.020116 Loss_G: 0.012233 Loss_D_real: -0.023450 Loss_D_fake -0.003335
[1336/5000][400/535][137875] Loss_D: -0.019608 Loss_G: 0.000124 Loss_D_real: -0.021269 Loss_D_fake -0.001661
[1336/5000][405/535][137876] Loss_D: -0.019447 Loss_G: 0.010357 Loss_D_real: 0.003059 Loss_D_fake 0.022506
[1336/5000][410/535][137877] Loss_D: -0.019242 Loss_G: 0.013947 Loss_D_real: -0.015002 Loss_D_fake 0.004240
[1336/5000][415/535][137878] Loss_D: -0.019469 Loss_G: 0.017242 Loss_D_real: -0.025910 Loss_D_fake -0.006442
[1336/5000][420/535][137879] Loss_D: -0.020139 Loss_G: 0.001816 Loss_D_real: -0.002982 Loss_D_fake 0.017158
[1336/5000][425/535][137880] Loss_D: -0.018967 Loss_G: 0.009564 Loss_D_real: -0.005486 Loss_D_fake 0.013481
[1336/5000][430/535][137881] Loss_D: -0.018883 Loss_G: -0.009131 Loss_D_real: -0.005474 Loss_D_fake 0.013409
[1336/5000][435/535][137882] Loss_D: -0.020106 Loss_G: 0.032274 Loss_D_real: -0.022441 Loss_D_fake -0.002335
[1336/5000][440/535][137883] Loss_D: -0.018858 Loss_G: -0.003224 Loss_D_real: -0.004752 Loss_D_fake 0.014107
[1336/5000][445/535][137884] Loss_D: -0.020696 Loss_G: 0.001384 Loss_D_real: 0.002686 Loss_D_fake 0.023382
[1336/5000][450/535][137885] Loss_D: -0.019629 Loss_G: 0.012577 Loss_D_real: -0.016669 Loss_D_fake 0.002960
[1336/5000][455/535][137886] Loss_D: -0.020652 Loss_G: 0.009839 Loss_D_real: -0.005866 Loss_D_fake 0.014786
[1336/5000][460/535][137887] Loss_D: -0.019481 Loss_G: 0.007891 Loss_D_real: -0.022549 Loss_D_fake -0.003068
[1336/5000][465/535][137888] Loss_D: -0.019827 Loss_G: 0.000986 Loss_D_real: -0.017561 Loss_D_fake 0.002266
[1336/5000][470/535][137889] Loss_D: -0.019890 Loss_G: -0.005198 Loss_D_real: -0.003078 Loss_D_fake 0.016811
[1336/5000][475/535][137890] Loss_D: -0.020275 Loss_G: 0.004210 Loss_D_real: -0.018610 Loss_D_fake 0.001665
[1336/5000][480/535][137891] Loss_D: -0.020589 Loss_G: 0.012813 Loss_D_real: -0.001376 Loss_D_fake 0.019212
[1336/5000][485/535][137892] Loss_D: -0.019048 Loss_G: 0.005870 Loss_D_real: -0.014959 Loss_D_fake 0.004090
[1336/5000][490/535][137893] Loss_D: -0.019502 Loss_G: 0.014710 Loss_D_real: -0.023748 Loss_D_fake -0.004245
[1336/5000][495/535][137894] Loss_D: -0.018953 Loss_G: 0.004263 Loss_D_real: -0.006004 Loss_D_fake 0.012949
[1336/5000][500/535][137895] Loss_D: -0.018509 Loss_G: -0.004379 Loss_D_real: -0.017331 Loss_D_fake 0.001179
[1336/5000][505/535][137896] Loss_D: -0.019054 Loss_G: 0.021842 Loss_D_real: -0.023452 Loss_D_fake -0.004398
[1336/5000][510/535][137897] Loss_D: -0.020577 Loss_G: 0.022065 Loss_D_real: -0.012899 Loss_D_fake 0.007679
[1336/5000][515/535][137898] Loss_D: -0.019650 Loss_G: 0.011220 Loss_D_real: -0.019605 Loss_D_fake 0.000046
[1336/5000][520/535][137899] Loss_D: -0.019636 Loss_G: -0.009147 Loss_D_real: -0.000714 Loss_D_fake 0.018922
[1336/5000][525/535][137900] Loss_D: -0.021065 Loss_G: 0.002878 Loss_D_real: -0.019791 Loss_D_fake 0.001274
[1336/5000][530/535][137901] Loss_D: -0.019848 Loss_G: 0.010826 Loss_D_real: -0.015568 Loss_D_fake 0.004280
[1336/5000][535/535][137902] Loss_D: -0.020888 Loss_G: 0.017318 Loss_D_real: -0.013555 Loss_D_fake 0.007333
[1337/5000][5/535][137903] Loss_D: -0.020749 Loss_G: 0.016650 Loss_D_real: -0.011351 Loss_D_fake 0.009398
[1337/5000][10/535][137904] Loss_D: -0.021722 Loss_G: 0.006749 Loss_D_real: -0.024370 Loss_D_fake -0.002649
[1337/5000][15/535][137905] Loss_D: -0.020916 Loss_G: 0.005741 Loss_D_real: -0.028386 Loss_D_fake -0.007470
[1337/5000][20/535][137906] Loss_D: -0.019245 Loss_G: -0.009827 Loss_D_real: 0.000227 Loss_D_fake 0.019473
[1337/5000][25/535][137907] Loss_D: -0.019708 Loss_G: -0.006992 Loss_D_real: -0.008751 Loss_D_fake 0.010957
[1337/5000][30/535][137908] Loss_D: -0.019053 Loss_G: 0.012077 Loss_D_real: -0.014394 Loss_D_fake 0.004659
[1337/5000][35/535][137909] Loss_D: -0.019596 Loss_G: -0.009638 Loss_D_real: -0.006108 Loss_D_fake 0.013487
[1337/5000][40/535][137910] Loss_D: -0.020140 Loss_G: 0.015397 Loss_D_real: -0.006775 Loss_D_fake 0.013366
[1337/5000][45/535][137911] Loss_D: -0.020313 Loss_G: 0.001588 Loss_D_real: -0.007189 Loss_D_fake 0.013124
[1337/5000][50/535][137912] Loss_D: -0.020411 Loss_G: 0.002387 Loss_D_real: -0.008375 Loss_D_fake 0.012035
[1337/5000][55/535][137913] Loss_D: -0.017639 Loss_G: 0.012399 Loss_D_real: -0.026065 Loss_D_fake -0.008426
[1337/5000][60/535][137914] Loss_D: -0.019931 Loss_G: 0.018358 Loss_D_real: -0.006562 Loss_D_fake 0.013368
[1337/5000][65/535][137915] Loss_D: -0.019735 Loss_G: -0.007025 Loss_D_real: -0.014436 Loss_D_fake 0.005299
[1337/5000][70/535][137916] Loss_D: -0.017873 Loss_G: 0.029890 Loss_D_real: -0.021561 Loss_D_fake -0.003688
[1337/5000][75/535][137917] Loss_D: -0.018810 Loss_G: 0.027400 Loss_D_real: -0.021622 Loss_D_fake -0.002812
[1337/5000][80/535][137918] Loss_D: -0.017485 Loss_G: 0.017207 Loss_D_real: -0.036181 Loss_D_fake -0.018696
[1337/5000][85/535][137919] Loss_D: -0.019782 Loss_G: 0.019580 Loss_D_real: -0.025785 Loss_D_fake -0.006002
[1337/5000][90/535][137920] Loss_D: -0.019182 Loss_G: 0.004878 Loss_D_real: -0.012763 Loss_D_fake 0.006418
[1337/5000][95/535][137921] Loss_D: -0.021134 Loss_G: 0.021446 Loss_D_real: -0.029096 Loss_D_fake -0.007962
[1337/5000][100/535][137922] Loss_D: -0.020235 Loss_G: 0.000169 Loss_D_real: -0.010380 Loss_D_fake 0.009856
[1337/5000][105/535][137923] Loss_D: -0.019787 Loss_G: 0.021701 Loss_D_real: -0.014379 Loss_D_fake 0.005408
[1337/5000][110/535][137924] Loss_D: -0.021284 Loss_G: 0.015013 Loss_D_real: -0.005375 Loss_D_fake 0.015909
[1337/5000][115/535][137925] Loss_D: -0.022440 Loss_G: 0.011795 Loss_D_real: -0.007740 Loss_D_fake 0.014701
[1337/5000][120/535][137926] Loss_D: -0.020665 Loss_G: 0.028041 Loss_D_real: -0.027435 Loss_D_fake -0.006771
[1337/5000][125/535][137927] Loss_D: -0.019984 Loss_G: 0.002033 Loss_D_real: -0.018282 Loss_D_fake 0.001701
[1337/5000][130/535][137928] Loss_D: -0.020183 Loss_G: 0.017346 Loss_D_real: -0.029574 Loss_D_fake -0.009391
[1337/5000][135/535][137929] Loss_D: -0.020158 Loss_G: 0.016625 Loss_D_real: -0.020768 Loss_D_fake -0.000610
[1337/5000][140/535][137930] Loss_D: -0.020251 Loss_G: 0.014219 Loss_D_real: -0.011222 Loss_D_fake 0.009029
[1337/5000][145/535][137931] Loss_D: -0.018555 Loss_G: 0.011794 Loss_D_real: -0.024149 Loss_D_fake -0.005594
[1337/5000][150/535][137932] Loss_D: -0.020048 Loss_G: 0.009571 Loss_D_real: -0.032016 Loss_D_fake -0.011969
[1337/5000][155/535][137933] Loss_D: -0.020485 Loss_G: -0.002221 Loss_D_real: 0.000913 Loss_D_fake 0.021398
[1337/5000][160/535][137934] Loss_D: -0.019795 Loss_G: 0.019196 Loss_D_real: -0.023049 Loss_D_fake -0.003254
[1337/5000][165/535][137935] Loss_D: -0.020942 Loss_G: 0.004244 Loss_D_real: -0.009684 Loss_D_fake 0.011258
[1337/5000][170/535][137936] Loss_D: -0.019191 Loss_G: 0.022242 Loss_D_real: -0.022797 Loss_D_fake -0.003606
[1337/5000][175/535][137937] Loss_D: -0.020887 Loss_G: 0.008579 Loss_D_real: -0.011185 Loss_D_fake 0.009702
[1337/5000][180/535][137938] Loss_D: -0.019452 Loss_G: 0.004213 Loss_D_real: -0.015833 Loss_D_fake 0.003618
[1337/5000][185/535][137939] Loss_D: -0.019088 Loss_G: 0.011884 Loss_D_real: -0.018395 Loss_D_fake 0.000693
[1337/5000][190/535][137940] Loss_D: -0.019693 Loss_G: 0.021854 Loss_D_real: -0.020389 Loss_D_fake -0.000696
[1337/5000][195/535][137941] Loss_D: -0.020858 Loss_G: -0.001158 Loss_D_real: -0.001650 Loss_D_fake 0.019209
[1337/5000][200/535][137942] Loss_D: -0.018654 Loss_G: 0.021411 Loss_D_real: -0.020030 Loss_D_fake -0.001376
[1337/5000][205/535][137943] Loss_D: -0.018375 Loss_G: 0.008736 Loss_D_real: -0.025345 Loss_D_fake -0.006969
[1337/5000][210/535][137944] Loss_D: -0.019404 Loss_G: 0.017127 Loss_D_real: -0.013432 Loss_D_fake 0.005972
[1337/5000][215/535][137945] Loss_D: -0.019587 Loss_G: 0.018697 Loss_D_real: -0.009166 Loss_D_fake 0.010422
[1337/5000][220/535][137946] Loss_D: -0.019544 Loss_G: 0.006815 Loss_D_real: -0.023744 Loss_D_fake -0.004200
[1337/5000][225/535][137947] Loss_D: -0.019947 Loss_G: 0.009205 Loss_D_real: -0.022220 Loss_D_fake -0.002272
[1337/5000][230/535][137948] Loss_D: -0.019233 Loss_G: 0.013238 Loss_D_real: -0.018024 Loss_D_fake 0.001209
[1337/5000][235/535][137949] Loss_D: -0.018803 Loss_G: 0.011988 Loss_D_real: -0.007972 Loss_D_fake 0.010831
[1337/5000][240/535][137950] Loss_D: -0.019846 Loss_G: 0.001309 Loss_D_real: -0.008312 Loss_D_fake 0.011535
[1337/5000][245/535][137951] Loss_D: -0.018606 Loss_G: -0.008098 Loss_D_real: 0.001097 Loss_D_fake 0.019703
[1337/5000][250/535][137952] Loss_D: -0.019435 Loss_G: -0.000550 Loss_D_real: -0.003793 Loss_D_fake 0.015643
[1337/5000][255/535][137953] Loss_D: -0.018810 Loss_G: 0.020177 Loss_D_real: -0.006691 Loss_D_fake 0.012119
[1337/5000][260/535][137954] Loss_D: -0.019950 Loss_G: 0.006854 Loss_D_real: -0.009988 Loss_D_fake 0.009962
[1337/5000][265/535][137955] Loss_D: -0.019892 Loss_G: 0.001544 Loss_D_real: 0.000684 Loss_D_fake 0.020576
[1337/5000][270/535][137956] Loss_D: -0.020545 Loss_G: 0.021407 Loss_D_real: -0.009706 Loss_D_fake 0.010839
[1337/5000][275/535][137957] Loss_D: -0.019635 Loss_G: 0.014147 Loss_D_real: -0.011955 Loss_D_fake 0.007680
[1337/5000][280/535][137958] Loss_D: -0.019746 Loss_G: -0.002464 Loss_D_real: -0.001826 Loss_D_fake 0.017920
[1337/5000][285/535][137959] Loss_D: -0.019256 Loss_G: 0.001300 Loss_D_real: -0.014086 Loss_D_fake 0.005169
[1337/5000][290/535][137960] Loss_D: -0.020995 Loss_G: 0.012900 Loss_D_real: -0.027968 Loss_D_fake -0.006973
[1337/5000][295/535][137961] Loss_D: -0.019955 Loss_G: 0.025155 Loss_D_real: -0.012693 Loss_D_fake 0.007262
[1337/5000][300/535][137962] Loss_D: -0.021671 Loss_G: 0.007791 Loss_D_real: -0.010809 Loss_D_fake 0.010862
[1337/5000][305/535][137963] Loss_D: -0.019056 Loss_G: 0.005618 Loss_D_real: -0.007095 Loss_D_fake 0.011961
[1337/5000][310/535][137964] Loss_D: -0.021462 Loss_G: 0.007661 Loss_D_real: -0.013279 Loss_D_fake 0.008183
[1337/5000][315/535][137965] Loss_D: -0.019256 Loss_G: -0.005693 Loss_D_real: -0.005587 Loss_D_fake 0.013669
[1337/5000][320/535][137966] Loss_D: -0.021524 Loss_G: 0.012408 Loss_D_real: -0.011715 Loss_D_fake 0.009809
[1337/5000][325/535][137967] Loss_D: -0.020127 Loss_G: 0.019728 Loss_D_real: -0.018036 Loss_D_fake 0.002090
[1337/5000][330/535][137968] Loss_D: -0.019530 Loss_G: -0.010490 Loss_D_real: -0.007318 Loss_D_fake 0.012212
[1337/5000][335/535][137969] Loss_D: -0.020350 Loss_G: 0.013130 Loss_D_real: -0.024062 Loss_D_fake -0.003712
[1337/5000][340/535][137970] Loss_D: -0.020956 Loss_G: 0.011594 Loss_D_real: -0.016765 Loss_D_fake 0.004191
[1337/5000][345/535][137971] Loss_D: -0.018425 Loss_G: 0.034432 Loss_D_real: -0.031098 Loss_D_fake -0.012673
[1337/5000][350/535][137972] Loss_D: -0.019641 Loss_G: 0.012911 Loss_D_real: -0.016052 Loss_D_fake 0.003589
[1337/5000][355/535][137973] Loss_D: -0.020987 Loss_G: 0.015793 Loss_D_real: -0.019846 Loss_D_fake 0.001141
[1337/5000][360/535][137974] Loss_D: -0.019395 Loss_G: 0.004298 Loss_D_real: -0.016946 Loss_D_fake 0.002449
[1337/5000][365/535][137975] Loss_D: -0.019066 Loss_G: 0.006382 Loss_D_real: -0.029074 Loss_D_fake -0.010008
[1337/5000][370/535][137976] Loss_D: -0.020349 Loss_G: 0.020546 Loss_D_real: -0.016985 Loss_D_fake 0.003364
[1337/5000][375/535][137977] Loss_D: -0.019969 Loss_G: 0.020058 Loss_D_real: -0.030413 Loss_D_fake -0.010445
[1337/5000][380/535][137978] Loss_D: -0.019807 Loss_G: 0.009925 Loss_D_real: -0.022216 Loss_D_fake -0.002409
[1337/5000][385/535][137979] Loss_D: -0.019790 Loss_G: 0.006933 Loss_D_real: -0.013625 Loss_D_fake 0.006165
[1337/5000][390/535][137980] Loss_D: -0.018868 Loss_G: 0.010592 Loss_D_real: -0.021446 Loss_D_fake -0.002578
[1337/5000][395/535][137981] Loss_D: -0.020169 Loss_G: 0.003458 Loss_D_real: -0.002348 Loss_D_fake 0.017821
[1337/5000][400/535][137982] Loss_D: -0.019379 Loss_G: 0.021223 Loss_D_real: -0.010183 Loss_D_fake 0.009196
[1337/5000][405/535][137983] Loss_D: -0.021130 Loss_G: 0.007058 Loss_D_real: -0.012700 Loss_D_fake 0.008430
[1337/5000][410/535][137984] Loss_D: -0.018127 Loss_G: 0.018424 Loss_D_real: -0.022274 Loss_D_fake -0.004147
[1337/5000][415/535][137985] Loss_D: -0.019938 Loss_G: -0.006334 Loss_D_real: -0.010225 Loss_D_fake 0.009713
[1337/5000][420/535][137986] Loss_D: -0.021057 Loss_G: -0.003064 Loss_D_real: -0.016748 Loss_D_fake 0.004310
[1337/5000][425/535][137987] Loss_D: -0.018990 Loss_G: -0.002736 Loss_D_real: -0.001124 Loss_D_fake 0.017866
[1337/5000][430/535][137988] Loss_D: -0.017352 Loss_G: 0.028419 Loss_D_real: -0.028104 Loss_D_fake -0.010752
[1337/5000][435/535][137989] Loss_D: -0.020034 Loss_G: 0.018017 Loss_D_real: -0.013296 Loss_D_fake 0.006739
[1337/5000][440/535][137990] Loss_D: -0.018556 Loss_G: -0.000927 Loss_D_real: -0.006555 Loss_D_fake 0.012001
[1337/5000][445/535][137991] Loss_D: -0.019922 Loss_G: 0.012767 Loss_D_real: -0.010909 Loss_D_fake 0.009013
[1337/5000][450/535][137992] Loss_D: -0.020116 Loss_G: 0.024167 Loss_D_real: -0.022583 Loss_D_fake -0.002466
[1337/5000][455/535][137993] Loss_D: -0.020611 Loss_G: 0.009786 Loss_D_real: -0.011463 Loss_D_fake 0.009148
[1337/5000][460/535][137994] Loss_D: -0.019890 Loss_G: 0.019326 Loss_D_real: -0.024081 Loss_D_fake -0.004191
[1337/5000][465/535][137995] Loss_D: -0.019389 Loss_G: 0.012470 Loss_D_real: -0.011672 Loss_D_fake 0.007717
[1337/5000][470/535][137996] Loss_D: -0.019739 Loss_G: 0.004121 Loss_D_real: -0.012857 Loss_D_fake 0.006882
[1337/5000][475/535][137997] Loss_D: -0.018425 Loss_G: 0.008144 Loss_D_real: -0.007860 Loss_D_fake 0.010565
[1337/5000][480/535][137998] Loss_D: -0.019205 Loss_G: 0.002405 Loss_D_real: -0.017105 Loss_D_fake 0.002100
[1337/5000][485/535][137999] Loss_D: -0.021382 Loss_G: 0.007777 Loss_D_real: -0.004627 Loss_D_fake 0.016754
[1337/5000][490/535][138000] Loss_D: -0.020022 Loss_G: 0.008758 Loss_D_real: -0.010798 Loss_D_fake 0.009224
[1337/5000][535/535][138001] Loss_D: -0.022926 Loss_G: 0.008616 Loss_D_real: -0.026854 Loss_D_fake -0.003928
[1338/5000][5/535][138002] Loss_D: -0.024202 Loss_G: -0.001961 Loss_D_real: -0.011512 Loss_D_fake 0.012690
[1338/5000][10/535][138003] Loss_D: -0.019602 Loss_G: 0.011694 Loss_D_real: 0.001932 Loss_D_fake 0.021534
[1338/5000][15/535][138004] Loss_D: -0.017864 Loss_G: 0.012877 Loss_D_real: -0.003219 Loss_D_fake 0.014645
[1338/5000][20/535][138005] Loss_D: -0.019080 Loss_G: 0.007052 Loss_D_real: -0.028917 Loss_D_fake -0.009837
[1338/5000][25/535][138006] Loss_D: -0.019813 Loss_G: 0.001577 Loss_D_real: -0.013867 Loss_D_fake 0.005945
[1338/5000][30/535][138007] Loss_D: -0.019437 Loss_G: 0.008030 Loss_D_real: -0.022715 Loss_D_fake -0.003278
[1338/5000][35/535][138008] Loss_D: -0.019932 Loss_G: 0.005806 Loss_D_real: -0.013336 Loss_D_fake 0.006595
[1338/5000][40/535][138009] Loss_D: -0.020446 Loss_G: 0.019864 Loss_D_real: -0.012909 Loss_D_fake 0.007537
[1338/5000][45/535][138010] Loss_D: -0.018861 Loss_G: 0.019288 Loss_D_real: -0.031546 Loss_D_fake -0.012685
[1338/5000][50/535][138011] Loss_D: -0.019260 Loss_G: -0.010377 Loss_D_real: -0.002283 Loss_D_fake 0.016977
[1338/5000][55/535][138012] Loss_D: -0.020145 Loss_G: 0.011408 Loss_D_real: -0.022364 Loss_D_fake -0.002219
[1338/5000][60/535][138013] Loss_D: -0.020282 Loss_G: 0.013679 Loss_D_real: -0.020077 Loss_D_fake 0.000205
[1338/5000][65/535][138014] Loss_D: -0.019429 Loss_G: -0.008720 Loss_D_real: 0.011037 Loss_D_fake 0.030467
[1338/5000][70/535][138015] Loss_D: -0.020569 Loss_G: 0.007034 Loss_D_real: -0.019055 Loss_D_fake 0.001514
[1338/5000][75/535][138016] Loss_D: -0.020143 Loss_G: 0.012078 Loss_D_real: -0.007080 Loss_D_fake 0.013064
[1338/5000][80/535][138017] Loss_D: -0.018752 Loss_G: 0.008777 Loss_D_real: -0.003952 Loss_D_fake 0.014800
[1338/5000][85/535][138018] Loss_D: -0.020320 Loss_G: 0.018674 Loss_D_real: -0.019047 Loss_D_fake 0.001272
[1338/5000][90/535][138019] Loss_D: -0.021032 Loss_G: 0.006409 Loss_D_real: -0.022387 Loss_D_fake -0.001355
[1338/5000][95/535][138020] Loss_D: -0.020293 Loss_G: 0.013699 Loss_D_real: -0.024682 Loss_D_fake -0.004389
[1338/5000][100/535][138021] Loss_D: -0.018917 Loss_G: 0.014372 Loss_D_real: -0.015688 Loss_D_fake 0.003230
[1338/5000][105/535][138022] Loss_D: -0.019666 Loss_G: 0.004727 Loss_D_real: -0.008803 Loss_D_fake 0.010863
[1338/5000][110/535][138023] Loss_D: -0.019988 Loss_G: 0.017059 Loss_D_real: -0.021480 Loss_D_fake -0.001491
[1338/5000][115/535][138024] Loss_D: -0.019538 Loss_G: -0.000022 Loss_D_real: -0.008660 Loss_D_fake 0.010878
[1338/5000][120/535][138025] Loss_D: -0.019004 Loss_G: 0.001645 Loss_D_real: -0.010650 Loss_D_fake 0.008354
[1338/5000][125/535][138026] Loss_D: -0.019600 Loss_G: 0.016846 Loss_D_real: -0.017630 Loss_D_fake 0.001970
[1338/5000][130/535][138027] Loss_D: -0.018736 Loss_G: 0.021762 Loss_D_real: -0.011592 Loss_D_fake 0.007145
[1338/5000][135/535][138028] Loss_D: -0.018826 Loss_G: -0.002095 Loss_D_real: -0.008422 Loss_D_fake 0.010404
[1338/5000][140/535][138029] Loss_D: -0.019273 Loss_G: -0.000017 Loss_D_real: -0.006360 Loss_D_fake 0.012912
[1338/5000][145/535][138030] Loss_D: -0.021518 Loss_G: 0.013457 Loss_D_real: -0.002901 Loss_D_fake 0.018617
[1338/5000][150/535][138031] Loss_D: -0.020603 Loss_G: -0.013767 Loss_D_real: 0.001053 Loss_D_fake 0.021656
[1338/5000][155/535][138032] Loss_D: -0.020409 Loss_G: 0.000685 Loss_D_real: -0.010514 Loss_D_fake 0.009895
[1338/5000][160/535][138033] Loss_D: -0.020173 Loss_G: 0.020446 Loss_D_real: -0.014566 Loss_D_fake 0.005607
[1338/5000][165/535][138034] Loss_D: -0.019045 Loss_G: -0.005395 Loss_D_real: -0.001092 Loss_D_fake 0.017952
[1338/5000][170/535][138035] Loss_D: -0.020307 Loss_G: 0.014001 Loss_D_real: -0.024251 Loss_D_fake -0.003944
[1338/5000][175/535][138036] Loss_D: -0.018886 Loss_G: -0.005523 Loss_D_real: -0.007787 Loss_D_fake 0.011099
[1338/5000][180/535][138037] Loss_D: -0.019256 Loss_G: 0.009064 Loss_D_real: -0.016238 Loss_D_fake 0.003018
[1338/5000][185/535][138038] Loss_D: -0.020078 Loss_G: 0.008182 Loss_D_real: -0.003323 Loss_D_fake 0.016755
[1338/5000][190/535][138039] Loss_D: -0.018667 Loss_G: -0.003688 Loss_D_real: -0.006197 Loss_D_fake 0.012470
[1338/5000][195/535][138040] Loss_D: -0.019068 Loss_G: 0.022738 Loss_D_real: -0.020691 Loss_D_fake -0.001623
[1338/5000][200/535][138041] Loss_D: -0.018245 Loss_G: 0.016628 Loss_D_real: -0.021701 Loss_D_fake -0.003455
[1338/5000][205/535][138042] Loss_D: -0.017859 Loss_G: 0.022583 Loss_D_real: -0.021391 Loss_D_fake -0.003532
[1338/5000][210/535][138043] Loss_D: -0.019786 Loss_G: -0.002667 Loss_D_real: -0.000092 Loss_D_fake 0.019694
[1338/5000][215/535][138044] Loss_D: -0.019569 Loss_G: 0.009046 Loss_D_real: -0.020935 Loss_D_fake -0.001367
[1338/5000][220/535][138045] Loss_D: -0.018700 Loss_G: 0.023394 Loss_D_real: -0.016544 Loss_D_fake 0.002156
[1338/5000][225/535][138046] Loss_D: -0.020684 Loss_G: 0.000137 Loss_D_real: -0.021777 Loss_D_fake -0.001093
[1338/5000][230/535][138047] Loss_D: -0.019521 Loss_G: 0.005366 Loss_D_real: -0.013333 Loss_D_fake 0.006188
[1338/5000][235/535][138048] Loss_D: -0.019212 Loss_G: 0.014884 Loss_D_real: -0.015186 Loss_D_fake 0.004026
[1338/5000][240/535][138049] Loss_D: -0.018314 Loss_G: 0.005385 Loss_D_real: -0.011804 Loss_D_fake 0.006510
[1338/5000][245/535][138050] Loss_D: -0.019517 Loss_G: 0.015012 Loss_D_real: -0.008380 Loss_D_fake 0.011137
[1338/5000][250/535][138051] Loss_D: -0.019566 Loss_G: 0.003331 Loss_D_real: -0.007269 Loss_D_fake 0.012297
[1338/5000][255/535][138052] Loss_D: -0.020625 Loss_G: 0.012796 Loss_D_real: -0.013363 Loss_D_fake 0.007262
[1338/5000][260/535][138053] Loss_D: -0.021286 Loss_G: -0.008891 Loss_D_real: -0.007772 Loss_D_fake 0.013514
[1338/5000][265/535][138054] Loss_D: -0.020543 Loss_G: 0.015286 Loss_D_real: -0.004553 Loss_D_fake 0.015990
[1338/5000][270/535][138055] Loss_D: -0.020979 Loss_G: -0.000515 Loss_D_real: -0.007076 Loss_D_fake 0.013903
[1338/5000][275/535][138056] Loss_D: -0.020446 Loss_G: -0.010622 Loss_D_real: -0.009897 Loss_D_fake 0.010549
[1338/5000][280/535][138057] Loss_D: -0.020443 Loss_G: 0.015277 Loss_D_real: -0.018247 Loss_D_fake 0.002196
[1338/5000][285/535][138058] Loss_D: -0.020003 Loss_G: 0.032794 Loss_D_real: -0.028285 Loss_D_fake -0.008283
[1338/5000][290/535][138059] Loss_D: -0.020105 Loss_G: 0.015526 Loss_D_real: -0.010585 Loss_D_fake 0.009519
[1338/5000][295/535][138060] Loss_D: -0.018840 Loss_G: 0.009017 Loss_D_real: -0.005602 Loss_D_fake 0.013238
[1338/5000][300/535][138061] Loss_D: -0.020364 Loss_G: 0.013750 Loss_D_real: -0.022119 Loss_D_fake -0.001755
[1338/5000][305/535][138062] Loss_D: -0.020167 Loss_G: 0.012968 Loss_D_real: -0.012729 Loss_D_fake 0.007438
[1338/5000][310/535][138063] Loss_D: -0.019166 Loss_G: 0.009683 Loss_D_real: -0.025469 Loss_D_fake -0.006304
[1338/5000][315/535][138064] Loss_D: -0.019386 Loss_G: -0.006180 Loss_D_real: -0.008862 Loss_D_fake 0.010524
[1338/5000][320/535][138065] Loss_D: -0.020281 Loss_G: 0.019474 Loss_D_real: -0.010108 Loss_D_fake 0.010173
[1338/5000][325/535][138066] Loss_D: -0.020339 Loss_G: -0.006995 Loss_D_real: -0.000689 Loss_D_fake 0.019651
[1338/5000][330/535][138067] Loss_D: -0.019447 Loss_G: 0.005853 Loss_D_real: -0.003348 Loss_D_fake 0.016099
[1338/5000][335/535][138068] Loss_D: -0.020132 Loss_G: 0.011406 Loss_D_real: -0.022660 Loss_D_fake -0.002528
[1338/5000][340/535][138069] Loss_D: -0.018920 Loss_G: 0.013517 Loss_D_real: -0.012969 Loss_D_fake 0.005951
[1338/5000][345/535][138070] Loss_D: -0.020595 Loss_G: 0.001858 Loss_D_real: -0.004136 Loss_D_fake 0.016459
[1338/5000][350/535][138071] Loss_D: -0.019566 Loss_G: 0.027349 Loss_D_real: -0.031669 Loss_D_fake -0.012103
[1338/5000][355/535][138072] Loss_D: -0.020051 Loss_G: 0.029572 Loss_D_real: -0.022049 Loss_D_fake -0.001998
[1338/5000][360/535][138073] Loss_D: -0.020022 Loss_G: 0.008217 Loss_D_real: -0.007585 Loss_D_fake 0.012437
[1338/5000][365/535][138074] Loss_D: -0.020323 Loss_G: 0.009208 Loss_D_real: -0.011039 Loss_D_fake 0.009283
[1338/5000][370/535][138075] Loss_D: -0.018988 Loss_G: -0.006989 Loss_D_real: -0.001001 Loss_D_fake 0.017987
[1338/5000][375/535][138076] Loss_D: -0.019209 Loss_G: 0.016972 Loss_D_real: -0.026868 Loss_D_fake -0.007659
[1338/5000][380/535][138077] Loss_D: -0.020572 Loss_G: -0.001651 Loss_D_real: -0.006418 Loss_D_fake 0.014154
[1338/5000][385/535][138078] Loss_D: -0.018365 Loss_G: -0.009111 Loss_D_real: -0.005304 Loss_D_fake 0.013061
[1338/5000][390/535][138079] Loss_D: -0.018224 Loss_G: -0.005841 Loss_D_real: 0.001583 Loss_D_fake 0.019808
[1338/5000][395/535][138080] Loss_D: -0.017685 Loss_G: 0.017908 Loss_D_real: -0.021540 Loss_D_fake -0.003855
[1338/5000][400/535][138081] Loss_D: -0.020554 Loss_G: 0.024548 Loss_D_real: -0.016424 Loss_D_fake 0.004130
[1338/5000][405/535][138082] Loss_D: -0.018307 Loss_G: 0.024009 Loss_D_real: -0.027002 Loss_D_fake -0.008696
[1338/5000][410/535][138083] Loss_D: -0.021801 Loss_G: -0.025957 Loss_D_real: -0.000842 Loss_D_fake 0.020959
[1338/5000][415/535][138084] Loss_D: -0.020244 Loss_G: 0.011355 Loss_D_real: -0.006468 Loss_D_fake 0.013776
[1338/5000][420/535][138085] Loss_D: -0.020807 Loss_G: 0.026638 Loss_D_real: -0.018911 Loss_D_fake 0.001896
[1338/5000][425/535][138086] Loss_D: -0.020416 Loss_G: 0.014274 Loss_D_real: -0.021863 Loss_D_fake -0.001448
[1338/5000][430/535][138087] Loss_D: -0.020056 Loss_G: 0.016084 Loss_D_real: -0.024706 Loss_D_fake -0.004650
[1338/5000][435/535][138088] Loss_D: -0.019905 Loss_G: 0.001363 Loss_D_real: -0.012395 Loss_D_fake 0.007509
[1338/5000][440/535][138089] Loss_D: -0.020353 Loss_G: 0.012076 Loss_D_real: -0.004654 Loss_D_fake 0.015700
[1338/5000][445/535][138090] Loss_D: -0.018023 Loss_G: 0.005342 Loss_D_real: -0.024121 Loss_D_fake -0.006098
[1338/5000][450/535][138091] Loss_D: -0.019690 Loss_G: 0.005111 Loss_D_real: 0.003798 Loss_D_fake 0.023488
[1338/5000][455/535][138092] Loss_D: -0.019088 Loss_G: 0.005341 Loss_D_real: -0.029297 Loss_D_fake -0.010210
[1338/5000][460/535][138093] Loss_D: -0.019124 Loss_G: 0.000077 Loss_D_real: -0.013521 Loss_D_fake 0.005603
[1338/5000][465/535][138094] Loss_D: -0.019964 Loss_G: 0.005621 Loss_D_real: -0.004181 Loss_D_fake 0.015783
[1338/5000][470/535][138095] Loss_D: -0.019271 Loss_G: 0.012456 Loss_D_real: -0.024186 Loss_D_fake -0.004915
[1338/5000][475/535][138096] Loss_D: -0.018423 Loss_G: 0.033707 Loss_D_real: -0.023707 Loss_D_fake -0.005284
[1338/5000][480/535][138097] Loss_D: -0.017890 Loss_G: 0.022536 Loss_D_real: -0.023706 Loss_D_fake -0.005815
[1338/5000][485/535][138098] Loss_D: -0.019203 Loss_G: 0.003971 Loss_D_real: -0.019519 Loss_D_fake -0.000316
[1338/5000][490/535][138099] Loss_D: -0.020792 Loss_G: 0.004338 Loss_D_real: -0.005782 Loss_D_fake 0.015009
[1338/5000][495/535][138100] Loss_D: -0.018980 Loss_G: -0.000163 Loss_D_real: -0.012806 Loss_D_fake 0.006174
[1338/5000][500/535][138101] Loss_D: -0.020086 Loss_G: -0.003755 Loss_D_real: -0.010572 Loss_D_fake 0.009514
[1338/5000][505/535][138102] Loss_D: -0.019409 Loss_G: 0.012805 Loss_D_real: -0.018577 Loss_D_fake 0.000832
[1338/5000][510/535][138103] Loss_D: -0.019363 Loss_G: -0.000737 Loss_D_real: -0.002267 Loss_D_fake 0.017096
[1338/5000][515/535][138104] Loss_D: -0.019897 Loss_G: -0.002519 Loss_D_real: -0.017083 Loss_D_fake 0.002814
[1338/5000][520/535][138105] Loss_D: -0.019629 Loss_G: -0.009785 Loss_D_real: -0.003625 Loss_D_fake 0.016004
[1338/5000][525/535][138106] Loss_D: -0.019201 Loss_G: -0.006416 Loss_D_real: 0.004678 Loss_D_fake 0.023880
[1338/5000][530/535][138107] Loss_D: -0.021024 Loss_G: 0.013310 Loss_D_real: -0.018372 Loss_D_fake 0.002652
[1338/5000][535/535][138108] Loss_D: -0.020276 Loss_G: -0.007882 Loss_D_real: -0.004860 Loss_D_fake 0.015416
[1339/5000][5/535][138109] Loss_D: -0.019370 Loss_G: 0.010162 Loss_D_real: -0.015410 Loss_D_fake 0.003960
[1339/5000][10/535][138110] Loss_D: -0.019755 Loss_G: 0.006525 Loss_D_real: -0.006745 Loss_D_fake 0.013010
[1339/5000][15/535][138111] Loss_D: -0.020131 Loss_G: 0.018669 Loss_D_real: -0.019069 Loss_D_fake 0.001062
[1339/5000][20/535][138112] Loss_D: -0.020384 Loss_G: -0.002257 Loss_D_real: 0.000342 Loss_D_fake 0.020726
[1339/5000][25/535][138113] Loss_D: -0.019052 Loss_G: -0.007034 Loss_D_real: -0.002606 Loss_D_fake 0.016445
[1339/5000][30/535][138114] Loss_D: -0.020043 Loss_G: -0.005150 Loss_D_real: -0.004301 Loss_D_fake 0.015742
[1339/5000][35/535][138115] Loss_D: -0.019346 Loss_G: 0.013885 Loss_D_real: -0.027020 Loss_D_fake -0.007674
[1339/5000][40/535][138116] Loss_D: -0.020089 Loss_G: 0.015029 Loss_D_real: -0.024285 Loss_D_fake -0.004196
[1339/5000][45/535][138117] Loss_D: -0.018653 Loss_G: -0.001201 Loss_D_real: -0.003522 Loss_D_fake 0.015132
[1339/5000][50/535][138118] Loss_D: -0.020298 Loss_G: 0.008953 Loss_D_real: -0.021338 Loss_D_fake -0.001040
[1339/5000][55/535][138119] Loss_D: -0.019903 Loss_G: 0.022206 Loss_D_real: -0.013732 Loss_D_fake 0.006172
[1339/5000][60/535][138120] Loss_D: -0.019040 Loss_G: 0.012954 Loss_D_real: -0.020044 Loss_D_fake -0.001003
[1339/5000][65/535][138121] Loss_D: -0.018922 Loss_G: 0.024750 Loss_D_real: -0.026958 Loss_D_fake -0.008036
[1339/5000][70/535][138122] Loss_D: -0.020171 Loss_G: 0.004577 Loss_D_real: 0.003416 Loss_D_fake 0.023586
[1339/5000][75/535][138123] Loss_D: -0.019659 Loss_G: 0.006876 Loss_D_real: -0.016434 Loss_D_fake 0.003224
[1339/5000][80/535][138124] Loss_D: -0.020178 Loss_G: 0.004964 Loss_D_real: -0.007741 Loss_D_fake 0.012437
[1339/5000][85/535][138125] Loss_D: -0.020343 Loss_G: -0.011352 Loss_D_real: -0.007143 Loss_D_fake 0.013200
[1339/5000][90/535][138126] Loss_D: -0.019491 Loss_G: 0.011966 Loss_D_real: -0.000450 Loss_D_fake 0.019041
[1339/5000][95/535][138127] Loss_D: -0.021201 Loss_G: 0.006310 Loss_D_real: -0.013912 Loss_D_fake 0.007289
[1339/5000][100/535][138128] Loss_D: -0.020044 Loss_G: -0.001703 Loss_D_real: -0.007640 Loss_D_fake 0.012404
[1339/5000][105/535][138129] Loss_D: -0.019808 Loss_G: 0.031775 Loss_D_real: -0.021583 Loss_D_fake -0.001775
[1339/5000][110/535][138130] Loss_D: -0.019118 Loss_G: -0.005612 Loss_D_real: -0.004700 Loss_D_fake 0.014418
[1339/5000][115/535][138131] Loss_D: -0.018380 Loss_G: -0.000768 Loss_D_real: 0.008553 Loss_D_fake 0.026933
[1339/5000][120/535][138132] Loss_D: -0.020132 Loss_G: 0.012502 Loss_D_real: -0.017916 Loss_D_fake 0.002216
[1339/5000][125/535][138133] Loss_D: -0.019027 Loss_G: 0.021394 Loss_D_real: -0.016682 Loss_D_fake 0.002345
[1339/5000][130/535][138134] Loss_D: -0.019640 Loss_G: 0.003129 Loss_D_real: -0.011731 Loss_D_fake 0.007909
[1339/5000][135/535][138135] Loss_D: -0.017769 Loss_G: 0.027644 Loss_D_real: -0.031333 Loss_D_fake -0.013564
[1339/5000][140/535][138136] Loss_D: -0.019116 Loss_G: 0.014655 Loss_D_real: -0.025036 Loss_D_fake -0.005920
[1339/5000][145/535][138137] Loss_D: -0.019175 Loss_G: 0.009684 Loss_D_real: -0.016773 Loss_D_fake 0.002402
[1339/5000][150/535][138138] Loss_D: -0.019708 Loss_G: 0.022105 Loss_D_real: -0.017190 Loss_D_fake 0.002519
[1339/5000][155/535][138139] Loss_D: -0.019119 Loss_G: -0.001983 Loss_D_real: -0.014824 Loss_D_fake 0.004295
[1339/5000][160/535][138140] Loss_D: -0.020069 Loss_G: 0.011702 Loss_D_real: -0.022876 Loss_D_fake -0.002807
[1339/5000][165/535][138141] Loss_D: -0.019254 Loss_G: -0.013593 Loss_D_real: 0.000945 Loss_D_fake 0.020198
[1339/5000][170/535][138142] Loss_D: -0.020082 Loss_G: 0.021075 Loss_D_real: -0.024932 Loss_D_fake -0.004849
[1339/5000][175/535][138143] Loss_D: -0.018631 Loss_G: 0.006341 Loss_D_real: -0.002792 Loss_D_fake 0.015840
[1339/5000][180/535][138144] Loss_D: -0.020619 Loss_G: 0.012149 Loss_D_real: -0.017937 Loss_D_fake 0.002682
[1339/5000][185/535][138145] Loss_D: -0.019469 Loss_G: 0.001988 Loss_D_real: -0.001646 Loss_D_fake 0.017824
[1339/5000][190/535][138146] Loss_D: -0.020729 Loss_G: 0.018110 Loss_D_real: -0.017342 Loss_D_fake 0.003387
[1339/5000][195/535][138147] Loss_D: -0.020916 Loss_G: 0.020061 Loss_D_real: -0.023882 Loss_D_fake -0.002967
[1339/5000][200/535][138148] Loss_D: -0.018870 Loss_G: 0.001989 Loss_D_real: -0.004538 Loss_D_fake 0.014332
[1339/5000][205/535][138149] Loss_D: -0.020436 Loss_G: 0.006290 Loss_D_real: -0.015375 Loss_D_fake 0.005061
[1339/5000][210/535][138150] Loss_D: -0.020142 Loss_G: 0.021130 Loss_D_real: -0.013733 Loss_D_fake 0.006409
[1339/5000][215/535][138151] Loss_D: -0.019635 Loss_G: -0.002885 Loss_D_real: -0.009977 Loss_D_fake 0.009658
[1339/5000][220/535][138152] Loss_D: -0.020604 Loss_G: 0.016778 Loss_D_real: -0.024370 Loss_D_fake -0.003766
[1339/5000][225/535][138153] Loss_D: -0.020025 Loss_G: 0.018881 Loss_D_real: -0.019624 Loss_D_fake 0.000401
[1339/5000][230/535][138154] Loss_D: -0.018810 Loss_G: 0.003613 Loss_D_real: -0.007260 Loss_D_fake 0.011550
[1339/5000][235/535][138155] Loss_D: -0.020385 Loss_G: 0.017477 Loss_D_real: -0.019330 Loss_D_fake 0.001055
[1339/5000][240/535][138156] Loss_D: -0.020401 Loss_G: -0.013869 Loss_D_real: -0.011832 Loss_D_fake 0.008569
[1339/5000][245/535][138157] Loss_D: -0.019423 Loss_G: 0.012704 Loss_D_real: -0.019423 Loss_D_fake 0.000001
[1339/5000][250/535][138158] Loss_D: -0.020079 Loss_G: 0.011654 Loss_D_real: -0.010404 Loss_D_fake 0.009675
[1339/5000][255/535][138159] Loss_D: -0.019652 Loss_G: 0.000448 Loss_D_real: -0.008549 Loss_D_fake 0.011104
[1339/5000][260/535][138160] Loss_D: -0.019652 Loss_G: 0.000313 Loss_D_real: -0.015565 Loss_D_fake 0.004087
[1339/5000][265/535][138161] Loss_D: -0.019315 Loss_G: 0.005693 Loss_D_real: -0.012008 Loss_D_fake 0.007307
[1339/5000][270/535][138162] Loss_D: -0.019737 Loss_G: 0.014985 Loss_D_real: -0.014187 Loss_D_fake 0.005549
[1339/5000][275/535][138163] Loss_D: -0.019003 Loss_G: 0.008354 Loss_D_real: -0.018042 Loss_D_fake 0.000962
[1339/5000][280/535][138164] Loss_D: -0.018796 Loss_G: -0.009687 Loss_D_real: 0.002743 Loss_D_fake 0.021539
[1339/5000][285/535][138165] Loss_D: -0.019120 Loss_G: 0.010861 Loss_D_real: -0.024925 Loss_D_fake -0.005805
[1339/5000][290/535][138166] Loss_D: -0.019217 Loss_G: 0.017875 Loss_D_real: -0.023334 Loss_D_fake -0.004117
[1339/5000][295/535][138167] Loss_D: -0.019373 Loss_G: 0.018220 Loss_D_real: -0.022111 Loss_D_fake -0.002738
[1339/5000][300/535][138168] Loss_D: -0.020914 Loss_G: 0.006674 Loss_D_real: -0.014711 Loss_D_fake 0.006203
[1339/5000][305/535][138169] Loss_D: -0.020642 Loss_G: 0.021795 Loss_D_real: -0.012583 Loss_D_fake 0.008059
[1339/5000][310/535][138170] Loss_D: -0.019784 Loss_G: 0.006685 Loss_D_real: -0.014714 Loss_D_fake 0.005070
[1339/5000][315/535][138171] Loss_D: -0.020056 Loss_G: 0.005677 Loss_D_real: -0.022758 Loss_D_fake -0.002702
[1339/5000][320/535][138172] Loss_D: -0.019518 Loss_G: 0.016992 Loss_D_real: -0.022452 Loss_D_fake -0.002935
[1339/5000][325/535][138173] Loss_D: -0.020229 Loss_G: 0.009208 Loss_D_real: -0.019828 Loss_D_fake 0.000402
[1339/5000][330/535][138174] Loss_D: -0.019557 Loss_G: 0.030931 Loss_D_real: -0.014306 Loss_D_fake 0.005252
[1339/5000][335/535][138175] Loss_D: -0.019700 Loss_G: -0.007267 Loss_D_real: -0.010570 Loss_D_fake 0.009131
[1339/5000][340/535][138176] Loss_D: -0.020211 Loss_G: 0.007004 Loss_D_real: -0.016632 Loss_D_fake 0.003579
[1339/5000][345/535][138177] Loss_D: -0.019101 Loss_G: 0.002240 Loss_D_real: -0.016667 Loss_D_fake 0.002434
[1339/5000][350/535][138178] Loss_D: -0.019847 Loss_G: 0.005379 Loss_D_real: -0.019863 Loss_D_fake -0.000015
[1339/5000][355/535][138179] Loss_D: -0.019435 Loss_G: 0.024775 Loss_D_real: -0.034888 Loss_D_fake -0.015453
[1339/5000][360/535][138180] Loss_D: -0.020024 Loss_G: -0.012357 Loss_D_real: -0.007503 Loss_D_fake 0.012521
[1339/5000][365/535][138181] Loss_D: -0.019641 Loss_G: 0.028347 Loss_D_real: -0.016641 Loss_D_fake 0.003000
[1339/5000][370/535][138182] Loss_D: -0.019894 Loss_G: -0.000321 Loss_D_real: -0.023412 Loss_D_fake -0.003518
[1339/5000][375/535][138183] Loss_D: -0.019966 Loss_G: 0.014836 Loss_D_real: -0.011497 Loss_D_fake 0.008469
[1339/5000][380/535][138184] Loss_D: -0.019836 Loss_G: 0.012338 Loss_D_real: -0.018416 Loss_D_fake 0.001421
[1339/5000][385/535][138185] Loss_D: -0.019171 Loss_G: 0.009407 Loss_D_real: -0.016932 Loss_D_fake 0.002240
[1339/5000][390/535][138186] Loss_D: -0.019130 Loss_G: 0.006706 Loss_D_real: -0.016528 Loss_D_fake 0.002602
[1339/5000][395/535][138187] Loss_D: -0.020484 Loss_G: 0.017948 Loss_D_real: -0.007692 Loss_D_fake 0.012792
[1339/5000][400/535][138188] Loss_D: -0.018991 Loss_G: 0.003803 Loss_D_real: -0.003116 Loss_D_fake 0.015874
[1339/5000][405/535][138189] Loss_D: -0.020189 Loss_G: 0.006984 Loss_D_real: -0.011009 Loss_D_fake 0.009181
[1339/5000][410/535][138190] Loss_D: -0.021563 Loss_G: 0.028338 Loss_D_real: -0.019818 Loss_D_fake 0.001744
[1339/5000][415/535][138191] Loss_D: -0.019354 Loss_G: 0.019570 Loss_D_real: -0.020205 Loss_D_fake -0.000851
[1339/5000][420/535][138192] Loss_D: -0.020185 Loss_G: -0.007593 Loss_D_real: -0.009463 Loss_D_fake 0.010723
[1339/5000][425/535][138193] Loss_D: -0.022289 Loss_G: 0.006989 Loss_D_real: -0.006268 Loss_D_fake 0.016020
[1339/5000][430/535][138194] Loss_D: -0.019593 Loss_G: 0.006604 Loss_D_real: -0.017055 Loss_D_fake 0.002538
[1339/5000][435/535][138195] Loss_D: -0.018678 Loss_G: 0.029218 Loss_D_real: -0.023827 Loss_D_fake -0.005149
[1339/5000][440/535][138196] Loss_D: -0.020010 Loss_G: 0.019014 Loss_D_real: -0.011549 Loss_D_fake 0.008461
[1339/5000][445/535][138197] Loss_D: -0.019401 Loss_G: 0.004458 Loss_D_real: -0.009333 Loss_D_fake 0.010067
[1339/5000][450/535][138198] Loss_D: -0.018693 Loss_G: -0.000961 Loss_D_real: -0.013070 Loss_D_fake 0.005623
[1339/5000][455/535][138199] Loss_D: -0.019993 Loss_G: 0.029243 Loss_D_real: -0.018297 Loss_D_fake 0.001695
[1339/5000][460/535][138200] Loss_D: -0.019489 Loss_G: -0.003947 Loss_D_real: -0.018759 Loss_D_fake 0.000730
[1339/5000][465/535][138201] Loss_D: -0.020272 Loss_G: 0.009631 Loss_D_real: -0.016413 Loss_D_fake 0.003858
[1339/5000][470/535][138202] Loss_D: -0.019447 Loss_G: -0.001541 Loss_D_real: -0.002803 Loss_D_fake 0.016644
[1339/5000][475/535][138203] Loss_D: -0.019677 Loss_G: 0.012662 Loss_D_real: -0.014156 Loss_D_fake 0.005520
[1339/5000][480/535][138204] Loss_D: -0.018921 Loss_G: 0.019527 Loss_D_real: -0.021861 Loss_D_fake -0.002940
[1339/5000][485/535][138205] Loss_D: -0.019789 Loss_G: 0.017277 Loss_D_real: -0.020704 Loss_D_fake -0.000915
[1339/5000][490/535][138206] Loss_D: -0.020113 Loss_G: 0.024806 Loss_D_real: -0.029345 Loss_D_fake -0.009232
[1339/5000][495/535][138207] Loss_D: -0.019478 Loss_G: 0.010972 Loss_D_real: -0.012675 Loss_D_fake 0.006803
[1339/5000][500/535][138208] Loss_D: -0.018154 Loss_G: -0.019481 Loss_D_real: -0.002433 Loss_D_fake 0.015721
[1339/5000][505/535][138209] Loss_D: -0.019091 Loss_G: 0.021029 Loss_D_real: -0.027279 Loss_D_fake -0.008189
[1339/5000][510/535][138210] Loss_D: -0.021907 Loss_G: 0.005860 Loss_D_real: -0.018521 Loss_D_fake 0.003386
[1339/5000][515/535][138211] Loss_D: -0.020418 Loss_G: -0.005674 Loss_D_real: -0.004439 Loss_D_fake 0.015980
[1339/5000][520/535][138212] Loss_D: -0.018600 Loss_G: 0.008306 Loss_D_real: -0.015053 Loss_D_fake 0.003548
[1339/5000][525/535][138213] Loss_D: -0.019124 Loss_G: 0.004961 Loss_D_real: -0.008001 Loss_D_fake 0.011123
[1339/5000][530/535][138214] Loss_D: -0.019225 Loss_G: 0.025245 Loss_D_real: -0.019179 Loss_D_fake 0.000046
[1339/5000][535/535][138215] Loss_D: -0.020281 Loss_G: 0.016875 Loss_D_real: -0.026251 Loss_D_fake -0.005970
[1340/5000][5/535][138216] Loss_D: -0.021546 Loss_G: 0.006734 Loss_D_real: -0.004940 Loss_D_fake 0.016606
[1340/5000][10/535][138217] Loss_D: -0.019914 Loss_G: 0.009664 Loss_D_real: -0.005536 Loss_D_fake 0.014378
[1340/5000][15/535][138218] Loss_D: -0.019491 Loss_G: 0.006512 Loss_D_real: -0.024300 Loss_D_fake -0.004809
[1340/5000][20/535][138219] Loss_D: -0.020277 Loss_G: 0.010291 Loss_D_real: -0.020555 Loss_D_fake -0.000278
[1340/5000][25/535][138220] Loss_D: -0.019358 Loss_G: 0.020260 Loss_D_real: -0.019150 Loss_D_fake 0.000208
[1340/5000][30/535][138221] Loss_D: -0.019868 Loss_G: 0.006857 Loss_D_real: -0.026215 Loss_D_fake -0.006347
[1340/5000][35/535][138222] Loss_D: -0.019098 Loss_G: -0.009573 Loss_D_real: 0.009068 Loss_D_fake 0.028167
[1340/5000][40/535][138223] Loss_D: -0.018918 Loss_G: 0.026308 Loss_D_real: -0.020715 Loss_D_fake -0.001798
[1340/5000][45/535][138224] Loss_D: -0.020618 Loss_G: 0.006173 Loss_D_real: -0.013020 Loss_D_fake 0.007598
[1340/5000][50/535][138225] Loss_D: -0.019747 Loss_G: 0.021845 Loss_D_real: -0.023605 Loss_D_fake -0.003857
[1340/5000][55/535][138226] Loss_D: -0.020769 Loss_G: 0.004506 Loss_D_real: -0.023478 Loss_D_fake -0.002708
[1340/5000][60/535][138227] Loss_D: -0.019096 Loss_G: 0.012451 Loss_D_real: -0.019341 Loss_D_fake -0.000245
[1340/5000][65/535][138228] Loss_D: -0.019449 Loss_G: 0.007244 Loss_D_real: -0.009914 Loss_D_fake 0.009536
[1340/5000][70/535][138229] Loss_D: -0.020811 Loss_G: 0.018704 Loss_D_real: -0.015152 Loss_D_fake 0.005659
[1340/5000][75/535][138230] Loss_D: -0.019499 Loss_G: 0.017837 Loss_D_real: -0.002566 Loss_D_fake 0.016933
[1340/5000][80/535][138231] Loss_D: -0.020423 Loss_G: 0.010148 Loss_D_real: -0.012871 Loss_D_fake 0.007552
[1340/5000][85/535][138232] Loss_D: -0.020079 Loss_G: 0.010223 Loss_D_real: -0.017137 Loss_D_fake 0.002942
[1340/5000][90/535][138233] Loss_D: -0.019080 Loss_G: 0.038424 Loss_D_real: -0.021309 Loss_D_fake -0.002229
[1340/5000][95/535][138234] Loss_D: -0.019910 Loss_G: 0.007819 Loss_D_real: -0.012637 Loss_D_fake 0.007273
[1340/5000][100/535][138235] Loss_D: -0.018787 Loss_G: 0.000385 Loss_D_real: -0.001786 Loss_D_fake 0.017001
[1340/5000][105/535][138236] Loss_D: -0.017531 Loss_G: 0.015878 Loss_D_real: -0.014700 Loss_D_fake 0.002831
[1340/5000][110/535][138237] Loss_D: -0.021533 Loss_G: 0.006275 Loss_D_real: -0.013695 Loss_D_fake 0.007838
[1340/5000][115/535][138238] Loss_D: -0.019759 Loss_G: 0.004477 Loss_D_real: -0.013156 Loss_D_fake 0.006604
[1340/5000][120/535][138239] Loss_D: -0.019878 Loss_G: -0.016334 Loss_D_real: 0.000435 Loss_D_fake 0.020313
[1340/5000][125/535][138240] Loss_D: -0.019292 Loss_G: 0.023966 Loss_D_real: -0.015587 Loss_D_fake 0.003704
[1340/5000][130/535][138241] Loss_D: -0.019724 Loss_G: 0.008629 Loss_D_real: -0.014298 Loss_D_fake 0.005426
[1340/5000][135/535][138242] Loss_D: -0.020354 Loss_G: 0.016310 Loss_D_real: -0.025776 Loss_D_fake -0.005422
[1340/5000][140/535][138243] Loss_D: -0.020124 Loss_G: 0.016266 Loss_D_real: -0.016038 Loss_D_fake 0.004086
[1340/5000][145/535][138244] Loss_D: -0.019579 Loss_G: 0.006451 Loss_D_real: -0.006080 Loss_D_fake 0.013499
[1340/5000][150/535][138245] Loss_D: -0.018497 Loss_G: 0.014541 Loss_D_real: -0.025205 Loss_D_fake -0.006708
[1340/5000][155/535][138246] Loss_D: -0.019023 Loss_G: 0.021229 Loss_D_real: -0.030313 Loss_D_fake -0.011289
[1340/5000][160/535][138247] Loss_D: -0.021461 Loss_G: -0.006671 Loss_D_real: -0.015404 Loss_D_fake 0.006057
[1340/5000][165/535][138248] Loss_D: -0.019640 Loss_G: 0.013925 Loss_D_real: -0.015226 Loss_D_fake 0.004415
[1340/5000][170/535][138249] Loss_D: -0.020041 Loss_G: -0.001451 Loss_D_real: -0.005159 Loss_D_fake 0.014882
[1340/5000][175/535][138250] Loss_D: -0.020429 Loss_G: 0.016258 Loss_D_real: -0.010164 Loss_D_fake 0.010266
[1340/5000][180/535][138251] Loss_D: -0.019224 Loss_G: 0.032965 Loss_D_real: -0.028802 Loss_D_fake -0.009578
[1340/5000][185/535][138252] Loss_D: -0.020824 Loss_G: 0.006835 Loss_D_real: -0.009100 Loss_D_fake 0.011724
[1340/5000][190/535][138253] Loss_D: -0.020177 Loss_G: 0.019173 Loss_D_real: -0.021904 Loss_D_fake -0.001728
[1340/5000][195/535][138254] Loss_D: -0.019131 Loss_G: 0.024240 Loss_D_real: -0.024726 Loss_D_fake -0.005595
[1340/5000][200/535][138255] Loss_D: -0.018096 Loss_G: 0.009390 Loss_D_real: -0.025310 Loss_D_fake -0.007213
[1340/5000][205/535][138256] Loss_D: -0.020095 Loss_G: 0.006493 Loss_D_real: -0.013501 Loss_D_fake 0.006594
[1340/5000][210/535][138257] Loss_D: -0.020082 Loss_G: 0.013622 Loss_D_real: -0.017122 Loss_D_fake 0.002960
[1340/5000][215/535][138258] Loss_D: -0.019151 Loss_G: 0.011761 Loss_D_real: -0.012744 Loss_D_fake 0.006407
[1340/5000][220/535][138259] Loss_D: -0.020340 Loss_G: 0.016267 Loss_D_real: -0.016305 Loss_D_fake 0.004034
[1340/5000][225/535][138260] Loss_D: -0.019404 Loss_G: 0.004038 Loss_D_real: -0.004093 Loss_D_fake 0.015312
[1340/5000][230/535][138261] Loss_D: -0.020256 Loss_G: 0.008229 Loss_D_real: -0.024343 Loss_D_fake -0.004087
[1340/5000][235/535][138262] Loss_D: -0.020180 Loss_G: 0.007525 Loss_D_real: -0.001082 Loss_D_fake 0.019097
[1340/5000][240/535][138263] Loss_D: -0.019913 Loss_G: 0.012341 Loss_D_real: -0.008719 Loss_D_fake 0.011194
[1340/5000][245/535][138264] Loss_D: -0.019918 Loss_G: -0.009205 Loss_D_real: -0.002217 Loss_D_fake 0.017701
[1340/5000][250/535][138265] Loss_D: -0.020372 Loss_G: 0.003180 Loss_D_real: -0.010190 Loss_D_fake 0.010181
[1340/5000][255/535][138266] Loss_D: -0.019261 Loss_G: 0.008036 Loss_D_real: -0.008966 Loss_D_fake 0.010295
[1340/5000][260/535][138267] Loss_D: -0.020182 Loss_G: 0.006525 Loss_D_real: -0.008098 Loss_D_fake 0.012084
[1340/5000][265/535][138268] Loss_D: -0.020320 Loss_G: 0.019285 Loss_D_real: -0.030089 Loss_D_fake -0.009769
[1340/5000][270/535][138269] Loss_D: -0.019105 Loss_G: 0.014288 Loss_D_real: -0.006411 Loss_D_fake 0.012694
[1340/5000][275/535][138270] Loss_D: -0.018323 Loss_G: 0.023329 Loss_D_real: -0.015075 Loss_D_fake 0.003249
[1340/5000][280/535][138271] Loss_D: -0.021143 Loss_G: 0.004820 Loss_D_real: -0.024109 Loss_D_fake -0.002967
[1340/5000][285/535][138272] Loss_D: -0.017852 Loss_G: -0.013026 Loss_D_real: 0.006014 Loss_D_fake 0.023867
[1340/5000][290/535][138273] Loss_D: -0.019275 Loss_G: 0.003092 Loss_D_real: -0.013735 Loss_D_fake 0.005540
[1340/5000][295/535][138274] Loss_D: -0.019440 Loss_G: -0.002762 Loss_D_real: -0.001550 Loss_D_fake 0.017890
[1340/5000][300/535][138275] Loss_D: -0.018316 Loss_G: 0.029956 Loss_D_real: -0.023711 Loss_D_fake -0.005395
[1340/5000][305/535][138276] Loss_D: -0.020064 Loss_G: 0.007401 Loss_D_real: -0.002751 Loss_D_fake 0.017313
[1340/5000][310/535][138277] Loss_D: -0.020017 Loss_G: 0.013724 Loss_D_real: -0.027160 Loss_D_fake -0.007143
[1340/5000][315/535][138278] Loss_D: -0.018932 Loss_G: -0.006747 Loss_D_real: -0.008829 Loss_D_fake 0.010103
[1340/5000][320/535][138279] Loss_D: -0.018962 Loss_G: 0.003464 Loss_D_real: -0.015648 Loss_D_fake 0.003314
[1340/5000][325/535][138280] Loss_D: -0.020220 Loss_G: -0.008677 Loss_D_real: 0.000909 Loss_D_fake 0.021128
[1340/5000][330/535][138281] Loss_D: -0.019606 Loss_G: 0.006111 Loss_D_real: -0.015726 Loss_D_fake 0.003879
[1340/5000][335/535][138282] Loss_D: -0.019189 Loss_G: 0.008301 Loss_D_real: -0.015814 Loss_D_fake 0.003374
[1340/5000][340/535][138283] Loss_D: -0.019587 Loss_G: -0.001539 Loss_D_real: -0.004973 Loss_D_fake 0.014614
[1340/5000][345/535][138284] Loss_D: -0.020145 Loss_G: 0.017226 Loss_D_real: -0.016010 Loss_D_fake 0.004135
[1340/5000][350/535][138285] Loss_D: -0.018785 Loss_G: 0.006876 Loss_D_real: -0.000428 Loss_D_fake 0.018357
[1340/5000][355/535][138286] Loss_D: -0.019298 Loss_G: 0.001730 Loss_D_real: 0.001466 Loss_D_fake 0.020763
[1340/5000][360/535][138287] Loss_D: -0.020499 Loss_G: 0.009428 Loss_D_real: -0.018352 Loss_D_fake 0.002147
[1340/5000][365/535][138288] Loss_D: -0.018894 Loss_G: -0.007155 Loss_D_real: -0.000789 Loss_D_fake 0.018104
[1340/5000][370/535][138289] Loss_D: -0.020134 Loss_G: 0.009021 Loss_D_real: -0.021679 Loss_D_fake -0.001545
[1340/5000][375/535][138290] Loss_D: -0.020087 Loss_G: 0.014528 Loss_D_real: 0.004830 Loss_D_fake 0.024917
[1340/5000][380/535][138291] Loss_D: -0.019981 Loss_G: 0.000623 Loss_D_real: -0.008144 Loss_D_fake 0.011837
[1340/5000][385/535][138292] Loss_D: -0.020540 Loss_G: 0.013663 Loss_D_real: -0.026692 Loss_D_fake -0.006152
[1340/5000][390/535][138293] Loss_D: -0.019691 Loss_G: 0.008395 Loss_D_real: -0.022513 Loss_D_fake -0.002821
[1340/5000][395/535][138294] Loss_D: -0.019273 Loss_G: -0.004013 Loss_D_real: -0.008960 Loss_D_fake 0.010313
[1340/5000][400/535][138295] Loss_D: -0.019141 Loss_G: 0.033693 Loss_D_real: -0.021868 Loss_D_fake -0.002727
[1340/5000][405/535][138296] Loss_D: -0.020471 Loss_G: 0.009740 Loss_D_real: -0.022127 Loss_D_fake -0.001656
[1340/5000][410/535][138297] Loss_D: -0.019572 Loss_G: 0.002221 Loss_D_real: 0.002556 Loss_D_fake 0.022128
[1340/5000][415/535][138298] Loss_D: -0.019725 Loss_G: -0.015605 Loss_D_real: -0.011727 Loss_D_fake 0.007997
[1340/5000][420/535][138299] Loss_D: -0.018485 Loss_G: 0.009560 Loss_D_real: -0.001794 Loss_D_fake 0.016691
[1340/5000][425/535][138300] Loss_D: -0.020484 Loss_G: -0.001285 Loss_D_real: -0.004948 Loss_D_fake 0.015536
[1340/5000][430/535][138301] Loss_D: -0.018011 Loss_G: 0.028240 Loss_D_real: -0.031167 Loss_D_fake -0.013156
[1340/5000][435/535][138302] Loss_D: -0.021201 Loss_G: 0.010769 Loss_D_real: -0.019801 Loss_D_fake 0.001400
[1340/5000][440/535][138303] Loss_D: -0.019404 Loss_G: 0.004624 Loss_D_real: -0.014330 Loss_D_fake 0.005074
[1340/5000][445/535][138304] Loss_D: -0.020368 Loss_G: 0.020908 Loss_D_real: -0.011480 Loss_D_fake 0.008888
[1340/5000][450/535][138305] Loss_D: -0.019265 Loss_G: 0.021105 Loss_D_real: -0.024833 Loss_D_fake -0.005568
[1340/5000][455/535][138306] Loss_D: -0.019408 Loss_G: 0.003936 Loss_D_real: -0.006303 Loss_D_fake 0.013105
[1340/5000][460/535][138307] Loss_D: -0.019595 Loss_G: 0.018538 Loss_D_real: -0.027915 Loss_D_fake -0.008320
[1340/5000][465/535][138308] Loss_D: -0.019148 Loss_G: -0.003835 Loss_D_real: -0.003884 Loss_D_fake 0.015264
[1340/5000][470/535][138309] Loss_D: -0.019732 Loss_G: 0.006129 Loss_D_real: -0.012112 Loss_D_fake 0.007620
[1340/5000][475/535][138310] Loss_D: -0.019603 Loss_G: 0.003192 Loss_D_real: -0.012455 Loss_D_fake 0.007149
[1340/5000][480/535][138311] Loss_D: -0.020805 Loss_G: 0.014548 Loss_D_real: -0.011999 Loss_D_fake 0.008806
[1340/5000][485/535][138312] Loss_D: -0.020133 Loss_G: 0.015361 Loss_D_real: -0.012491 Loss_D_fake 0.007642
[1340/5000][490/535][138313] Loss_D: -0.017949 Loss_G: 0.033626 Loss_D_real: -0.034776 Loss_D_fake -0.016826
[1340/5000][495/535][138314] Loss_D: -0.018415 Loss_G: 0.017029 Loss_D_real: -0.028225 Loss_D_fake -0.009810
[1340/5000][500/535][138315] Loss_D: -0.020999 Loss_G: 0.027727 Loss_D_real: -0.019735 Loss_D_fake 0.001265
[1340/5000][505/535][138316] Loss_D: -0.021098 Loss_G: -0.000003 Loss_D_real: -0.013589 Loss_D_fake 0.007508
[1340/5000][510/535][138317] Loss_D: -0.021523 Loss_G: 0.013160 Loss_D_real: -0.004555 Loss_D_fake 0.016968
[1340/5000][515/535][138318] Loss_D: -0.018443 Loss_G: 0.017853 Loss_D_real: -0.015097 Loss_D_fake 0.003347
[1340/5000][520/535][138319] Loss_D: -0.019674 Loss_G: -0.011793 Loss_D_real: -0.001300 Loss_D_fake 0.018374
[1340/5000][525/535][138320] Loss_D: -0.017971 Loss_G: 0.014982 Loss_D_real: -0.028672 Loss_D_fake -0.010700
[1340/5000][530/535][138321] Loss_D: -0.018478 Loss_G: 0.007585 Loss_D_real: -0.009727 Loss_D_fake 0.008751
[1340/5000][535/535][138322] Loss_D: -0.019571 Loss_G: -0.013832 Loss_D_real: 0.002457 Loss_D_fake 0.022028
[1341/5000][5/535][138323] Loss_D: -0.019419 Loss_G: 0.002784 Loss_D_real: -0.006099 Loss_D_fake 0.013319
[1341/5000][10/535][138324] Loss_D: -0.019892 Loss_G: 0.003949 Loss_D_real: -0.002655 Loss_D_fake 0.017237
[1341/5000][15/535][138325] Loss_D: -0.020402 Loss_G: 0.018439 Loss_D_real: -0.023657 Loss_D_fake -0.003255
[1341/5000][20/535][138326] Loss_D: -0.020003 Loss_G: 0.023728 Loss_D_real: -0.018364 Loss_D_fake 0.001639
[1341/5000][25/535][138327] Loss_D: -0.019003 Loss_G: 0.007267 Loss_D_real: -0.024161 Loss_D_fake -0.005159
[1341/5000][30/535][138328] Loss_D: -0.020458 Loss_G: 0.011984 Loss_D_real: -0.010897 Loss_D_fake 0.009560
[1341/5000][35/535][138329] Loss_D: -0.018735 Loss_G: 0.027765 Loss_D_real: -0.028997 Loss_D_fake -0.010261
[1341/5000][40/535][138330] Loss_D: -0.020065 Loss_G: 0.019997 Loss_D_real: -0.025142 Loss_D_fake -0.005078
[1341/5000][45/535][138331] Loss_D: -0.021071 Loss_G: 0.014640 Loss_D_real: -0.014038 Loss_D_fake 0.007033
[1341/5000][50/535][138332] Loss_D: -0.020833 Loss_G: 0.010137 Loss_D_real: -0.000486 Loss_D_fake 0.020346
[1341/5000][55/535][138333] Loss_D: -0.019397 Loss_G: 0.004338 Loss_D_real: -0.013804 Loss_D_fake 0.005593
[1341/5000][60/535][138334] Loss_D: -0.019742 Loss_G: -0.004952 Loss_D_real: -0.004425 Loss_D_fake 0.015317
[1341/5000][65/535][138335] Loss_D: -0.018700 Loss_G: 0.012257 Loss_D_real: -0.010868 Loss_D_fake 0.007832
[1341/5000][70/535][138336] Loss_D: -0.020303 Loss_G: 0.015094 Loss_D_real: -0.025541 Loss_D_fake -0.005238
[1341/5000][75/535][138337] Loss_D: -0.020479 Loss_G: 0.003490 Loss_D_real: -0.003985 Loss_D_fake 0.016494
[1341/5000][80/535][138338] Loss_D: -0.019750 Loss_G: -0.001366 Loss_D_real: -0.010238 Loss_D_fake 0.009512
[1341/5000][85/535][138339] Loss_D: -0.020526 Loss_G: 0.008023 Loss_D_real: -0.014383 Loss_D_fake 0.006142
[1341/5000][90/535][138340] Loss_D: -0.020193 Loss_G: -0.003574 Loss_D_real: -0.002493 Loss_D_fake 0.017701
[1341/5000][95/535][138341] Loss_D: -0.019461 Loss_G: 0.022452 Loss_D_real: -0.019659 Loss_D_fake -0.000198
[1341/5000][100/535][138342] Loss_D: -0.020998 Loss_G: 0.011077 Loss_D_real: -0.006601 Loss_D_fake 0.014398
[1341/5000][105/535][138343] Loss_D: -0.021644 Loss_G: 0.004077 Loss_D_real: -0.022913 Loss_D_fake -0.001270
[1341/5000][110/535][138344] Loss_D: -0.019378 Loss_G: -0.017842 Loss_D_real: -0.000692 Loss_D_fake 0.018685
[1341/5000][115/535][138345] Loss_D: -0.019194 Loss_G: 0.026359 Loss_D_real: -0.030156 Loss_D_fake -0.010962
[1341/5000][120/535][138346] Loss_D: -0.019176 Loss_G: 0.018311 Loss_D_real: -0.020764 Loss_D_fake -0.001588
[1341/5000][125/535][138347] Loss_D: -0.018975 Loss_G: 0.021041 Loss_D_real: -0.024645 Loss_D_fake -0.005670
[1341/5000][130/535][138348] Loss_D: -0.018621 Loss_G: 0.027191 Loss_D_real: -0.019494 Loss_D_fake -0.000874
[1341/5000][135/535][138349] Loss_D: -0.019858 Loss_G: 0.011234 Loss_D_real: -0.015240 Loss_D_fake 0.004618
[1341/5000][140/535][138350] Loss_D: -0.020435 Loss_G: 0.002886 Loss_D_real: -0.025416 Loss_D_fake -0.004981
[1341/5000][145/535][138351] Loss_D: -0.019577 Loss_G: 0.016008 Loss_D_real: -0.014002 Loss_D_fake 0.005575
[1341/5000][150/535][138352] Loss_D: -0.018229 Loss_G: 0.020181 Loss_D_real: -0.024398 Loss_D_fake -0.006169
[1341/5000][155/535][138353] Loss_D: -0.020081 Loss_G: 0.001502 Loss_D_real: -0.012526 Loss_D_fake 0.007555
[1341/5000][160/535][138354] Loss_D: -0.018636 Loss_G: 0.022240 Loss_D_real: -0.018382 Loss_D_fake 0.000255
[1341/5000][165/535][138355] Loss_D: -0.018837 Loss_G: 0.016021 Loss_D_real: -0.019934 Loss_D_fake -0.001097
[1341/5000][170/535][138356] Loss_D: -0.020165 Loss_G: 0.015645 Loss_D_real: -0.016061 Loss_D_fake 0.004104
[1341/5000][175/535][138357] Loss_D: -0.019363 Loss_G: 0.012076 Loss_D_real: -0.016263 Loss_D_fake 0.003101
[1341/5000][180/535][138358] Loss_D: -0.017402 Loss_G: 0.025925 Loss_D_real: -0.038607 Loss_D_fake -0.021205
[1341/5000][185/535][138359] Loss_D: -0.020591 Loss_G: -0.006356 Loss_D_real: -0.006929 Loss_D_fake 0.013663
[1341/5000][190/535][138360] Loss_D: -0.020083 Loss_G: 0.014803 Loss_D_real: -0.018314 Loss_D_fake 0.001768
[1341/5000][195/535][138361] Loss_D: -0.019650 Loss_G: 0.008035 Loss_D_real: -0.014259 Loss_D_fake 0.005392
[1341/5000][200/535][138362] Loss_D: -0.018373 Loss_G: -0.011806 Loss_D_real: -0.007188 Loss_D_fake 0.011185
[1341/5000][205/535][138363] Loss_D: -0.019113 Loss_G: 0.024707 Loss_D_real: -0.029851 Loss_D_fake -0.010738
[1341/5000][210/535][138364] Loss_D: -0.019592 Loss_G: 0.007565 Loss_D_real: -0.007155 Loss_D_fake 0.012436
[1341/5000][215/535][138365] Loss_D: -0.019353 Loss_G: 0.029519 Loss_D_real: -0.010455 Loss_D_fake 0.008898
[1341/5000][220/535][138366] Loss_D: -0.019229 Loss_G: -0.011393 Loss_D_real: -0.010664 Loss_D_fake 0.008565
[1341/5000][225/535][138367] Loss_D: -0.020081 Loss_G: 0.014547 Loss_D_real: -0.008362 Loss_D_fake 0.011719
[1341/5000][230/535][138368] Loss_D: -0.021070 Loss_G: 0.005928 Loss_D_real: -0.015949 Loss_D_fake 0.005121
[1341/5000][235/535][138369] Loss_D: -0.020380 Loss_G: 0.024513 Loss_D_real: -0.020389 Loss_D_fake -0.000009
[1341/5000][240/535][138370] Loss_D: -0.019331 Loss_G: 0.008475 Loss_D_real: -0.012590 Loss_D_fake 0.006742
[1341/5000][245/535][138371] Loss_D: -0.019101 Loss_G: 0.010670 Loss_D_real: -0.008342 Loss_D_fake 0.010759
[1341/5000][250/535][138372] Loss_D: -0.020199 Loss_G: 0.017296 Loss_D_real: -0.014708 Loss_D_fake 0.005490
[1341/5000][255/535][138373] Loss_D: -0.018281 Loss_G: 0.022559 Loss_D_real: -0.017585 Loss_D_fake 0.000696
[1341/5000][260/535][138374] Loss_D: -0.019677 Loss_G: -0.009756 Loss_D_real: -0.005706 Loss_D_fake 0.013971
[1341/5000][265/535][138375] Loss_D: -0.020795 Loss_G: 0.012541 Loss_D_real: -0.004291 Loss_D_fake 0.016503
[1341/5000][270/535][138376] Loss_D: -0.019989 Loss_G: 0.018681 Loss_D_real: -0.012595 Loss_D_fake 0.007393
[1341/5000][275/535][138377] Loss_D: -0.019358 Loss_G: 0.014557 Loss_D_real: -0.021404 Loss_D_fake -0.002046
[1341/5000][280/535][138378] Loss_D: -0.020395 Loss_G: 0.005842 Loss_D_real: -0.013884 Loss_D_fake 0.006511
[1341/5000][285/535][138379] Loss_D: -0.019804 Loss_G: 0.017807 Loss_D_real: -0.021854 Loss_D_fake -0.002050
[1341/5000][290/535][138380] Loss_D: -0.017921 Loss_G: -0.012021 Loss_D_real: -0.001742 Loss_D_fake 0.016178
[1341/5000][295/535][138381] Loss_D: -0.019369 Loss_G: 0.009297 Loss_D_real: -0.023736 Loss_D_fake -0.004367
[1341/5000][300/535][138382] Loss_D: -0.019429 Loss_G: 0.027655 Loss_D_real: -0.029101 Loss_D_fake -0.009672
[1341/5000][305/535][138383] Loss_D: -0.018516 Loss_G: 0.016910 Loss_D_real: -0.024751 Loss_D_fake -0.006234
[1341/5000][310/535][138384] Loss_D: -0.018867 Loss_G: 0.021935 Loss_D_real: -0.013023 Loss_D_fake 0.005844
[1341/5000][315/535][138385] Loss_D: -0.019449 Loss_G: 0.004453 Loss_D_real: -0.010625 Loss_D_fake 0.008824
[1341/5000][320/535][138386] Loss_D: -0.020203 Loss_G: -0.012067 Loss_D_real: -0.013654 Loss_D_fake 0.006549
[1341/5000][325/535][138387] Loss_D: -0.018788 Loss_G: 0.030508 Loss_D_real: -0.019549 Loss_D_fake -0.000761
[1341/5000][330/535][138388] Loss_D: -0.019726 Loss_G: 0.004081 Loss_D_real: -0.009932 Loss_D_fake 0.009794
[1341/5000][335/535][138389] Loss_D: -0.019806 Loss_G: 0.006771 Loss_D_real: -0.011550 Loss_D_fake 0.008257
[1341/5000][340/535][138390] Loss_D: -0.020129 Loss_G: 0.014561 Loss_D_real: -0.022904 Loss_D_fake -0.002775
[1341/5000][345/535][138391] Loss_D: -0.020221 Loss_G: 0.019163 Loss_D_real: -0.025474 Loss_D_fake -0.005253
[1341/5000][350/535][138392] Loss_D: -0.020448 Loss_G: 0.006207 Loss_D_real: -0.017256 Loss_D_fake 0.003193
[1341/5000][355/535][138393] Loss_D: -0.021042 Loss_G: 0.013432 Loss_D_real: -0.025415 Loss_D_fake -0.004373
[1341/5000][360/535][138394] Loss_D: -0.020550 Loss_G: 0.012242 Loss_D_real: -0.023566 Loss_D_fake -0.003016
[1341/5000][365/535][138395] Loss_D: -0.020876 Loss_G: 0.012025 Loss_D_real: -0.017233 Loss_D_fake 0.003643
[1341/5000][370/535][138396] Loss_D: -0.021332 Loss_G: 0.005533 Loss_D_real: -0.017973 Loss_D_fake 0.003359
[1341/5000][375/535][138397] Loss_D: -0.019675 Loss_G: 0.012901 Loss_D_real: -0.016143 Loss_D_fake 0.003531
[1341/5000][380/535][138398] Loss_D: -0.020408 Loss_G: 0.001917 Loss_D_real: -0.003304 Loss_D_fake 0.017105
[1341/5000][385/535][138399] Loss_D: -0.019866 Loss_G: 0.018670 Loss_D_real: -0.013104 Loss_D_fake 0.006762
[1341/5000][390/535][138400] Loss_D: -0.019676 Loss_G: 0.013165 Loss_D_real: 0.001831 Loss_D_fake 0.021507
[1341/5000][395/535][138401] Loss_D: -0.018709 Loss_G: -0.010320 Loss_D_real: -0.000925 Loss_D_fake 0.017783
[1341/5000][400/535][138402] Loss_D: -0.018700 Loss_G: 0.010968 Loss_D_real: -0.015747 Loss_D_fake 0.002954
[1341/5000][405/535][138403] Loss_D: -0.018367 Loss_G: 0.013220 Loss_D_real: -0.022874 Loss_D_fake -0.004507
[1341/5000][410/535][138404] Loss_D: -0.019039 Loss_G: 0.032186 Loss_D_real: -0.019189 Loss_D_fake -0.000149
[1341/5000][415/535][138405] Loss_D: -0.019823 Loss_G: 0.009263 Loss_D_real: -0.014724 Loss_D_fake 0.005099
[1341/5000][420/535][138406] Loss_D: -0.020201 Loss_G: 0.017552 Loss_D_real: -0.019629 Loss_D_fake 0.000572
[1341/5000][425/535][138407] Loss_D: -0.019589 Loss_G: 0.010819 Loss_D_real: -0.022548 Loss_D_fake -0.002959
[1341/5000][430/535][138408] Loss_D: -0.019625 Loss_G: 0.004335 Loss_D_real: -0.004884 Loss_D_fake 0.014741
[1341/5000][435/535][138409] Loss_D: -0.020303 Loss_G: -0.003609 Loss_D_real: -0.014433 Loss_D_fake 0.005870
[1341/5000][440/535][138410] Loss_D: -0.019729 Loss_G: 0.003200 Loss_D_real: -0.010017 Loss_D_fake 0.009712
[1341/5000][445/535][138411] Loss_D: -0.020302 Loss_G: 0.010912 Loss_D_real: -0.022848 Loss_D_fake -0.002546
[1341/5000][450/535][138412] Loss_D: -0.018771 Loss_G: 0.007719 Loss_D_real: -0.006422 Loss_D_fake 0.012349
[1341/5000][455/535][138413] Loss_D: -0.018318 Loss_G: 0.011574 Loss_D_real: -0.019827 Loss_D_fake -0.001508
[1341/5000][460/535][138414] Loss_D: -0.019524 Loss_G: -0.003779 Loss_D_real: -0.004706 Loss_D_fake 0.014817
[1341/5000][465/535][138415] Loss_D: -0.019249 Loss_G: 0.014144 Loss_D_real: -0.027971 Loss_D_fake -0.008722
[1341/5000][470/535][138416] Loss_D: -0.019256 Loss_G: -0.006627 Loss_D_real: -0.025164 Loss_D_fake -0.005908
[1341/5000][475/535][138417] Loss_D: -0.018905 Loss_G: -0.000078 Loss_D_real: -0.013471 Loss_D_fake 0.005434
[1341/5000][480/535][138418] Loss_D: -0.018148 Loss_G: 0.003315 Loss_D_real: -0.011457 Loss_D_fake 0.006691
[1341/5000][485/535][138419] Loss_D: -0.019071 Loss_G: 0.000232 Loss_D_real: -0.005210 Loss_D_fake 0.013861
[1341/5000][490/535][138420] Loss_D: -0.020827 Loss_G: 0.009414 Loss_D_real: -0.010705 Loss_D_fake 0.010122
[1341/5000][495/535][138421] Loss_D: -0.018844 Loss_G: 0.015462 Loss_D_real: -0.010902 Loss_D_fake 0.007942
[1341/5000][500/535][138422] Loss_D: -0.019978 Loss_G: -0.000469 Loss_D_real: -0.007594 Loss_D_fake 0.012384
[1341/5000][505/535][138423] Loss_D: -0.020086 Loss_G: 0.014026 Loss_D_real: -0.011243 Loss_D_fake 0.008842
[1341/5000][510/535][138424] Loss_D: -0.019153 Loss_G: 0.009497 Loss_D_real: -0.002140 Loss_D_fake 0.017013
[1341/5000][515/535][138425] Loss_D: -0.019628 Loss_G: 0.014206 Loss_D_real: 0.001597 Loss_D_fake 0.021225
[1341/5000][520/535][138426] Loss_D: -0.019775 Loss_G: 0.015750 Loss_D_real: -0.016195 Loss_D_fake 0.003580
[1341/5000][525/535][138427] Loss_D: -0.021058 Loss_G: 0.006742 Loss_D_real: -0.015592 Loss_D_fake 0.005466
[1341/5000][530/535][138428] Loss_D: -0.019599 Loss_G: 0.014412 Loss_D_real: -0.018810 Loss_D_fake 0.000789
[1341/5000][535/535][138429] Loss_D: -0.016584 Loss_G: 0.008122 Loss_D_real: -0.024753 Loss_D_fake -0.008169
[1342/5000][5/535][138430] Loss_D: -0.021116 Loss_G: 0.003070 Loss_D_real: -0.005811 Loss_D_fake 0.015305
[1342/5000][10/535][138431] Loss_D: -0.019162 Loss_G: 0.012602 Loss_D_real: -0.012263 Loss_D_fake 0.006899
[1342/5000][15/535][138432] Loss_D: -0.017847 Loss_G: 0.029403 Loss_D_real: -0.029318 Loss_D_fake -0.011471
[1342/5000][20/535][138433] Loss_D: -0.019167 Loss_G: 0.004732 Loss_D_real: -0.021080 Loss_D_fake -0.001913
[1342/5000][25/535][138434] Loss_D: -0.019984 Loss_G: 0.029893 Loss_D_real: -0.026300 Loss_D_fake -0.006316
[1342/5000][30/535][138435] Loss_D: -0.019814 Loss_G: 0.005177 Loss_D_real: -0.022792 Loss_D_fake -0.002978
[1342/5000][35/535][138436] Loss_D: -0.018833 Loss_G: 0.017197 Loss_D_real: -0.023028 Loss_D_fake -0.004195
[1342/5000][40/535][138437] Loss_D: -0.018335 Loss_G: 0.020220 Loss_D_real: -0.019700 Loss_D_fake -0.001365
[1342/5000][45/535][138438] Loss_D: -0.020386 Loss_G: 0.001684 Loss_D_real: -0.011677 Loss_D_fake 0.008709
[1342/5000][50/535][138439] Loss_D: -0.019679 Loss_G: 0.018287 Loss_D_real: -0.028013 Loss_D_fake -0.008333
[1342/5000][55/535][138440] Loss_D: -0.020573 Loss_G: 0.005506 Loss_D_real: -0.003462 Loss_D_fake 0.017111
[1342/5000][60/535][138441] Loss_D: -0.019926 Loss_G: 0.003817 Loss_D_real: -0.020163 Loss_D_fake -0.000237
[1342/5000][65/535][138442] Loss_D: -0.020265 Loss_G: -0.000437 Loss_D_real: 0.001188 Loss_D_fake 0.021453
[1342/5000][70/535][138443] Loss_D: -0.019928 Loss_G: -0.000588 Loss_D_real: -0.009856 Loss_D_fake 0.010072
[1342/5000][75/535][138444] Loss_D: -0.020164 Loss_G: 0.014211 Loss_D_real: -0.011212 Loss_D_fake 0.008952
[1342/5000][80/535][138445] Loss_D: -0.020720 Loss_G: 0.001797 Loss_D_real: -0.009044 Loss_D_fake 0.011675
[1342/5000][85/535][138446] Loss_D: -0.019706 Loss_G: -0.007921 Loss_D_real: -0.010688 Loss_D_fake 0.009019
[1342/5000][90/535][138447] Loss_D: -0.019682 Loss_G: 0.004458 Loss_D_real: -0.007040 Loss_D_fake 0.012642
[1342/5000][95/535][138448] Loss_D: -0.020067 Loss_G: 0.026214 Loss_D_real: -0.013703 Loss_D_fake 0.006364
[1342/5000][100/535][138449] Loss_D: -0.018681 Loss_G: 0.019045 Loss_D_real: -0.022558 Loss_D_fake -0.003877
[1342/5000][105/535][138450] Loss_D: -0.018440 Loss_G: 0.023212 Loss_D_real: -0.020525 Loss_D_fake -0.002084
[1342/5000][110/535][138451] Loss_D: -0.017938 Loss_G: -0.007630 Loss_D_real: -0.010825 Loss_D_fake 0.007113
[1342/5000][115/535][138452] Loss_D: -0.019354 Loss_G: 0.013744 Loss_D_real: -0.010676 Loss_D_fake 0.008678
[1342/5000][120/535][138453] Loss_D: -0.019804 Loss_G: 0.028404 Loss_D_real: -0.020678 Loss_D_fake -0.000874
[1342/5000][125/535][138454] Loss_D: -0.018741 Loss_G: 0.020159 Loss_D_real: -0.027810 Loss_D_fake -0.009069
[1342/5000][130/535][138455] Loss_D: -0.019740 Loss_G: 0.018087 Loss_D_real: -0.024339 Loss_D_fake -0.004599
[1342/5000][135/535][138456] Loss_D: -0.021573 Loss_G: 0.006789 Loss_D_real: -0.016412 Loss_D_fake 0.005161
[1342/5000][140/535][138457] Loss_D: -0.020098 Loss_G: 0.012461 Loss_D_real: -0.020708 Loss_D_fake -0.000610
[1342/5000][145/535][138458] Loss_D: -0.020314 Loss_G: 0.017117 Loss_D_real: -0.033917 Loss_D_fake -0.013603
[1342/5000][150/535][138459] Loss_D: -0.019367 Loss_G: 0.008282 Loss_D_real: -0.011181 Loss_D_fake 0.008187
[1342/5000][155/535][138460] Loss_D: -0.021293 Loss_G: -0.001894 Loss_D_real: -0.013782 Loss_D_fake 0.007511
[1342/5000][160/535][138461] Loss_D: -0.020103 Loss_G: -0.007261 Loss_D_real: -0.005854 Loss_D_fake 0.014248
[1342/5000][165/535][138462] Loss_D: -0.019558 Loss_G: 0.015980 Loss_D_real: -0.020492 Loss_D_fake -0.000934
[1342/5000][170/535][138463] Loss_D: -0.020977 Loss_G: 0.008529 Loss_D_real: -0.011899 Loss_D_fake 0.009078
[1342/5000][175/535][138464] Loss_D: -0.019293 Loss_G: -0.000756 Loss_D_real: 0.000054 Loss_D_fake 0.019347
[1342/5000][180/535][138465] Loss_D: -0.019648 Loss_G: -0.005594 Loss_D_real: -0.003742 Loss_D_fake 0.015907
[1342/5000][185/535][138466] Loss_D: -0.019036 Loss_G: 0.004157 Loss_D_real: -0.019780 Loss_D_fake -0.000744
[1342/5000][190/535][138467] Loss_D: -0.020339 Loss_G: 0.010709 Loss_D_real: -0.004484 Loss_D_fake 0.015855
[1342/5000][195/535][138468] Loss_D: -0.019305 Loss_G: 0.011826 Loss_D_real: -0.022018 Loss_D_fake -0.002713
[1342/5000][200/535][138469] Loss_D: -0.018456 Loss_G: 0.018651 Loss_D_real: -0.029767 Loss_D_fake -0.011311
[1342/5000][205/535][138470] Loss_D: -0.019394 Loss_G: 0.008996 Loss_D_real: -0.011648 Loss_D_fake 0.007746
[1342/5000][210/535][138471] Loss_D: -0.019658 Loss_G: 0.007335 Loss_D_real: -0.016454 Loss_D_fake 0.003205
[1342/5000][215/535][138472] Loss_D: -0.019287 Loss_G: -0.003080 Loss_D_real: -0.003057 Loss_D_fake 0.016229
[1342/5000][220/535][138473] Loss_D: -0.018523 Loss_G: 0.015599 Loss_D_real: -0.011674 Loss_D_fake 0.006850
[1342/5000][225/535][138474] Loss_D: -0.020322 Loss_G: 0.018462 Loss_D_real: -0.007200 Loss_D_fake 0.013122
[1342/5000][230/535][138475] Loss_D: -0.019495 Loss_G: 0.008023 Loss_D_real: -0.023147 Loss_D_fake -0.003652
[1342/5000][235/535][138476] Loss_D: -0.020525 Loss_G: 0.019109 Loss_D_real: -0.019837 Loss_D_fake 0.000688
[1342/5000][240/535][138477] Loss_D: -0.019567 Loss_G: -0.002610 Loss_D_real: -0.002724 Loss_D_fake 0.016843
[1342/5000][245/535][138478] Loss_D: -0.020239 Loss_G: 0.005683 Loss_D_real: -0.023110 Loss_D_fake -0.002871
[1342/5000][250/535][138479] Loss_D: -0.019421 Loss_G: 0.005899 Loss_D_real: -0.017142 Loss_D_fake 0.002278
[1342/5000][255/535][138480] Loss_D: -0.019979 Loss_G: 0.003214 Loss_D_real: -0.010929 Loss_D_fake 0.009050
[1342/5000][260/535][138481] Loss_D: -0.019917 Loss_G: 0.030938 Loss_D_real: -0.024658 Loss_D_fake -0.004740
[1342/5000][265/535][138482] Loss_D: -0.019368 Loss_G: 0.025200 Loss_D_real: -0.011759 Loss_D_fake 0.007609
[1342/5000][270/535][138483] Loss_D: -0.018855 Loss_G: 0.000876 Loss_D_real: -0.017003 Loss_D_fake 0.001852
[1342/5000][275/535][138484] Loss_D: -0.019262 Loss_G: -0.009667 Loss_D_real: 0.004107 Loss_D_fake 0.023370
[1342/5000][280/535][138485] Loss_D: -0.019900 Loss_G: 0.008287 Loss_D_real: -0.003939 Loss_D_fake 0.015960
[1342/5000][285/535][138486] Loss_D: -0.018677 Loss_G: 0.008347 Loss_D_real: -0.014440 Loss_D_fake 0.004238
[1342/5000][290/535][138487] Loss_D: -0.020824 Loss_G: 0.011732 Loss_D_real: -0.012757 Loss_D_fake 0.008067
[1342/5000][295/535][138488] Loss_D: -0.020477 Loss_G: 0.026247 Loss_D_real: -0.031497 Loss_D_fake -0.011020
[1342/5000][300/535][138489] Loss_D: -0.019832 Loss_G: 0.023872 Loss_D_real: -0.028780 Loss_D_fake -0.008948
[1342/5000][305/535][138490] Loss_D: -0.019632 Loss_G: 0.036288 Loss_D_real: -0.030246 Loss_D_fake -0.010614
[1342/5000][310/535][138491] Loss_D: -0.019177 Loss_G: 0.007290 Loss_D_real: -0.015515 Loss_D_fake 0.003661
[1342/5000][315/535][138492] Loss_D: -0.019886 Loss_G: -0.000534 Loss_D_real: -0.005613 Loss_D_fake 0.014273
[1342/5000][320/535][138493] Loss_D: -0.020462 Loss_G: 0.002364 Loss_D_real: -0.018575 Loss_D_fake 0.001887
[1342/5000][325/535][138494] Loss_D: -0.018928 Loss_G: 0.015112 Loss_D_real: -0.021374 Loss_D_fake -0.002446
[1342/5000][330/535][138495] Loss_D: -0.020818 Loss_G: -0.006417 Loss_D_real: -0.004259 Loss_D_fake 0.016559
[1342/5000][335/535][138496] Loss_D: -0.019594 Loss_G: -0.007466 Loss_D_real: -0.006144 Loss_D_fake 0.013450
[1342/5000][340/535][138497] Loss_D: -0.019523 Loss_G: 0.003092 Loss_D_real: -0.011175 Loss_D_fake 0.008347
[1342/5000][345/535][138498] Loss_D: -0.019033 Loss_G: 0.017785 Loss_D_real: -0.020008 Loss_D_fake -0.000975
[1342/5000][350/535][138499] Loss_D: -0.021102 Loss_G: 0.013965 Loss_D_real: -0.000602 Loss_D_fake 0.020501
[1342/5000][355/535][138500] Loss_D: -0.019233 Loss_G: 0.018022 Loss_D_real: -0.014249 Loss_D_fake 0.004984
[1342/5000][455/535][138501] Loss_D: -0.021391 Loss_G: 0.024009 Loss_D_real: -0.031215 Loss_D_fake -0.009824
[1342/5000][460/535][138502] Loss_D: -0.017650 Loss_G: 0.004592 Loss_D_real: 0.000640 Loss_D_fake 0.018290
[1342/5000][465/535][138503] Loss_D: -0.018578 Loss_G: 0.005889 Loss_D_real: -0.011027 Loss_D_fake 0.007551
[1342/5000][470/535][138504] Loss_D: -0.018965 Loss_G: 0.000902 Loss_D_real: -0.011586 Loss_D_fake 0.007379
[1342/5000][475/535][138505] Loss_D: -0.019647 Loss_G: 0.028625 Loss_D_real: -0.014839 Loss_D_fake 0.004808
[1342/5000][480/535][138506] Loss_D: -0.019030 Loss_G: 0.001004 Loss_D_real: -0.006313 Loss_D_fake 0.012717
[1342/5000][485/535][138507] Loss_D: -0.018781 Loss_G: 0.014859 Loss_D_real: -0.017939 Loss_D_fake 0.000842
[1342/5000][490/535][138508] Loss_D: -0.019511 Loss_G: -0.004237 Loss_D_real: -0.007812 Loss_D_fake 0.011700
[1342/5000][495/535][138509] Loss_D: -0.019497 Loss_G: 0.011588 Loss_D_real: -0.025621 Loss_D_fake -0.006124
[1342/5000][500/535][138510] Loss_D: -0.019114 Loss_G: -0.012769 Loss_D_real: 0.007227 Loss_D_fake 0.026341
[1342/5000][505/535][138511] Loss_D: -0.018202 Loss_G: 0.028328 Loss_D_real: -0.016681 Loss_D_fake 0.001521
[1342/5000][510/535][138512] Loss_D: -0.019862 Loss_G: 0.004156 Loss_D_real: -0.007175 Loss_D_fake 0.012687
[1342/5000][515/535][138513] Loss_D: -0.019629 Loss_G: -0.002387 Loss_D_real: -0.016891 Loss_D_fake 0.002739
[1342/5000][520/535][138514] Loss_D: -0.018921 Loss_G: -0.002919 Loss_D_real: 0.001041 Loss_D_fake 0.019962
[1342/5000][525/535][138515] Loss_D: -0.020153 Loss_G: 0.001546 Loss_D_real: -0.015678 Loss_D_fake 0.004475
[1342/5000][530/535][138516] Loss_D: -0.018985 Loss_G: 0.006039 Loss_D_real: -0.013209 Loss_D_fake 0.005776
[1342/5000][535/535][138517] Loss_D: -0.018687 Loss_G: -0.002959 Loss_D_real: 0.004012 Loss_D_fake 0.022699
[1343/5000][5/535][138518] Loss_D: -0.019999 Loss_G: 0.017205 Loss_D_real: -0.016668 Loss_D_fake 0.003330
[1343/5000][10/535][138519] Loss_D: -0.019274 Loss_G: 0.004586 Loss_D_real: -0.028157 Loss_D_fake -0.008882
[1343/5000][15/535][138520] Loss_D: -0.019865 Loss_G: 0.005633 Loss_D_real: -0.008992 Loss_D_fake 0.010873
[1343/5000][20/535][138521] Loss_D: -0.019188 Loss_G: 0.036914 Loss_D_real: -0.027009 Loss_D_fake -0.007820
[1343/5000][25/535][138522] Loss_D: -0.019310 Loss_G: 0.014411 Loss_D_real: -0.024595 Loss_D_fake -0.005284
[1343/5000][30/535][138523] Loss_D: -0.020299 Loss_G: 0.008088 Loss_D_real: -0.018713 Loss_D_fake 0.001586
[1343/5000][35/535][138524] Loss_D: -0.019602 Loss_G: 0.017386 Loss_D_real: -0.007274 Loss_D_fake 0.012328
[1343/5000][40/535][138525] Loss_D: -0.020014 Loss_G: -0.003870 Loss_D_real: -0.002162 Loss_D_fake 0.017852
[1343/5000][45/535][138526] Loss_D: -0.018777 Loss_G: 0.014082 Loss_D_real: -0.010986 Loss_D_fake 0.007791
[1343/5000][50/535][138527] Loss_D: -0.020324 Loss_G: 0.005969 Loss_D_real: -0.008904 Loss_D_fake 0.011420
[1343/5000][55/535][138528] Loss_D: -0.019730 Loss_G: 0.003519 Loss_D_real: -0.007322 Loss_D_fake 0.012408
[1343/5000][60/535][138529] Loss_D: -0.019982 Loss_G: 0.014768 Loss_D_real: -0.018667 Loss_D_fake 0.001315
[1343/5000][65/535][138530] Loss_D: -0.019310 Loss_G: 0.019143 Loss_D_real: -0.021358 Loss_D_fake -0.002048
[1343/5000][70/535][138531] Loss_D: -0.019757 Loss_G: 0.008005 Loss_D_real: -0.004609 Loss_D_fake 0.015148
[1343/5000][75/535][138532] Loss_D: -0.020099 Loss_G: 0.009467 Loss_D_real: -0.010574 Loss_D_fake 0.009525
[1343/5000][80/535][138533] Loss_D: -0.018959 Loss_G: -0.010725 Loss_D_real: -0.002936 Loss_D_fake 0.016024
[1343/5000][85/535][138534] Loss_D: -0.019574 Loss_G: 0.015471 Loss_D_real: -0.014121 Loss_D_fake 0.005453
[1343/5000][90/535][138535] Loss_D: -0.020024 Loss_G: 0.007108 Loss_D_real: -0.022424 Loss_D_fake -0.002400
[1343/5000][95/535][138536] Loss_D: -0.019510 Loss_G: 0.007878 Loss_D_real: -0.020600 Loss_D_fake -0.001090
[1343/5000][100/535][138537] Loss_D: -0.020326 Loss_G: 0.010405 Loss_D_real: -0.008844 Loss_D_fake 0.011482
[1343/5000][105/535][138538] Loss_D: -0.019127 Loss_G: 0.020201 Loss_D_real: -0.025988 Loss_D_fake -0.006861
[1343/5000][110/535][138539] Loss_D: -0.019914 Loss_G: 0.020039 Loss_D_real: -0.017552 Loss_D_fake 0.002362
[1343/5000][115/535][138540] Loss_D: -0.020044 Loss_G: 0.008834 Loss_D_real: -0.005245 Loss_D_fake 0.014799
[1343/5000][120/535][138541] Loss_D: -0.019631 Loss_G: 0.017801 Loss_D_real: -0.007984 Loss_D_fake 0.011647
[1343/5000][125/535][138542] Loss_D: -0.018842 Loss_G: -0.010380 Loss_D_real: -0.008341 Loss_D_fake 0.010502
[1343/5000][130/535][138543] Loss_D: -0.020105 Loss_G: 0.005881 Loss_D_real: -0.013956 Loss_D_fake 0.006149
[1343/5000][135/535][138544] Loss_D: -0.019787 Loss_G: 0.008437 Loss_D_real: -0.020709 Loss_D_fake -0.000922
[1343/5000][140/535][138545] Loss_D: -0.021542 Loss_G: 0.012550 Loss_D_real: -0.023922 Loss_D_fake -0.002380
[1343/5000][145/535][138546] Loss_D: -0.020834 Loss_G: 0.002901 Loss_D_real: -0.011099 Loss_D_fake 0.009735
[1343/5000][150/535][138547] Loss_D: -0.019870 Loss_G: 0.010058 Loss_D_real: -0.018098 Loss_D_fake 0.001771
[1343/5000][155/535][138548] Loss_D: -0.019562 Loss_G: 0.004019 Loss_D_real: -0.012375 Loss_D_fake 0.007186
[1343/5000][160/535][138549] Loss_D: -0.019683 Loss_G: 0.017791 Loss_D_real: -0.019615 Loss_D_fake 0.000068
[1343/5000][165/535][138550] Loss_D: -0.019755 Loss_G: 0.019183 Loss_D_real: -0.012944 Loss_D_fake 0.006811
[1343/5000][170/535][138551] Loss_D: -0.019911 Loss_G: 0.000737 Loss_D_real: -0.002983 Loss_D_fake 0.016928
[1343/5000][175/535][138552] Loss_D: -0.018719 Loss_G: 0.011622 Loss_D_real: -0.023093 Loss_D_fake -0.004374
[1343/5000][180/535][138553] Loss_D: -0.020086 Loss_G: 0.004998 Loss_D_real: -0.018415 Loss_D_fake 0.001671
[1343/5000][185/535][138554] Loss_D: -0.020957 Loss_G: 0.009002 Loss_D_real: -0.011169 Loss_D_fake 0.009788
[1343/5000][190/535][138555] Loss_D: -0.020299 Loss_G: -0.011793 Loss_D_real: 0.008330 Loss_D_fake 0.028630
[1343/5000][195/535][138556] Loss_D: -0.020741 Loss_G: 0.004699 Loss_D_real: -0.005591 Loss_D_fake 0.015151
[1343/5000][200/535][138557] Loss_D: -0.017739 Loss_G: 0.018473 Loss_D_real: -0.022361 Loss_D_fake -0.004622
[1343/5000][205/535][138558] Loss_D: -0.019436 Loss_G: -0.002084 Loss_D_real: -0.007952 Loss_D_fake 0.011483
[1343/5000][210/535][138559] Loss_D: -0.019221 Loss_G: 0.001908 Loss_D_real: -0.007728 Loss_D_fake 0.011492
[1343/5000][215/535][138560] Loss_D: -0.020070 Loss_G: -0.009926 Loss_D_real: -0.013323 Loss_D_fake 0.006747
[1343/5000][220/535][138561] Loss_D: -0.020340 Loss_G: 0.018427 Loss_D_real: -0.012641 Loss_D_fake 0.007699
[1343/5000][225/535][138562] Loss_D: -0.019948 Loss_G: 0.002032 Loss_D_real: -0.011666 Loss_D_fake 0.008282
[1343/5000][230/535][138563] Loss_D: -0.021358 Loss_G: 0.025533 Loss_D_real: -0.026581 Loss_D_fake -0.005223
[1343/5000][235/535][138564] Loss_D: -0.019295 Loss_G: 0.014156 Loss_D_real: -0.024920 Loss_D_fake -0.005626
[1343/5000][240/535][138565] Loss_D: -0.019724 Loss_G: 0.010575 Loss_D_real: -0.003546 Loss_D_fake 0.016178
[1343/5000][245/535][138566] Loss_D: -0.019397 Loss_G: 0.002445 Loss_D_real: -0.002851 Loss_D_fake 0.016546
[1343/5000][250/535][138567] Loss_D: -0.018850 Loss_G: -0.010475 Loss_D_real: 0.006431 Loss_D_fake 0.025281
[1343/5000][255/535][138568] Loss_D: -0.018241 Loss_G: 0.010807 Loss_D_real: -0.007745 Loss_D_fake 0.010496
[1343/5000][260/535][138569] Loss_D: -0.018813 Loss_G: 0.007230 Loss_D_real: -0.021587 Loss_D_fake -0.002774
[1343/5000][265/535][138570] Loss_D: -0.020099 Loss_G: 0.022494 Loss_D_real: -0.018775 Loss_D_fake 0.001324
[1343/5000][270/535][138571] Loss_D: -0.019563 Loss_G: 0.001985 Loss_D_real: -0.016335 Loss_D_fake 0.003228
[1343/5000][275/535][138572] Loss_D: -0.019103 Loss_G: 0.007551 Loss_D_real: -0.013052 Loss_D_fake 0.006051
[1343/5000][280/535][138573] Loss_D: -0.018970 Loss_G: 0.018343 Loss_D_real: -0.018275 Loss_D_fake 0.000695
[1343/5000][285/535][138574] Loss_D: -0.019843 Loss_G: -0.005395 Loss_D_real: -0.011732 Loss_D_fake 0.008111
[1343/5000][290/535][138575] Loss_D: -0.018965 Loss_G: 0.004758 Loss_D_real: -0.017689 Loss_D_fake 0.001277
[1343/5000][295/535][138576] Loss_D: -0.019159 Loss_G: 0.004541 Loss_D_real: -0.010645 Loss_D_fake 0.008514
[1343/5000][300/535][138577] Loss_D: -0.019806 Loss_G: 0.013665 Loss_D_real: -0.011669 Loss_D_fake 0.008137
[1343/5000][305/535][138578] Loss_D: -0.018853 Loss_G: -0.011395 Loss_D_real: -0.003718 Loss_D_fake 0.015135
[1343/5000][310/535][138579] Loss_D: -0.018420 Loss_G: 0.004308 Loss_D_real: 0.006619 Loss_D_fake 0.025040
[1343/5000][315/535][138580] Loss_D: -0.019272 Loss_G: 0.005222 Loss_D_real: -0.001826 Loss_D_fake 0.017446
[1343/5000][320/535][138581] Loss_D: -0.018820 Loss_G: 0.007547 Loss_D_real: -0.006521 Loss_D_fake 0.012299
[1343/5000][325/535][138582] Loss_D: -0.016852 Loss_G: 0.021634 Loss_D_real: -0.027494 Loss_D_fake -0.010642
[1343/5000][330/535][138583] Loss_D: -0.018370 Loss_G: 0.018755 Loss_D_real: -0.024176 Loss_D_fake -0.005807
[1343/5000][335/535][138584] Loss_D: -0.019869 Loss_G: 0.012345 Loss_D_real: -0.017707 Loss_D_fake 0.002162
[1343/5000][340/535][138585] Loss_D: -0.020128 Loss_G: 0.028092 Loss_D_real: -0.014220 Loss_D_fake 0.005908
[1343/5000][345/535][138586] Loss_D: -0.018885 Loss_G: 0.015286 Loss_D_real: -0.018553 Loss_D_fake 0.000332
[1343/5000][350/535][138587] Loss_D: -0.019931 Loss_G: 0.003957 Loss_D_real: -0.009807 Loss_D_fake 0.010124
[1343/5000][355/535][138588] Loss_D: -0.019569 Loss_G: 0.015289 Loss_D_real: -0.016768 Loss_D_fake 0.002802
[1343/5000][360/535][138589] Loss_D: -0.018793 Loss_G: -0.014753 Loss_D_real: -0.002059 Loss_D_fake 0.016734
[1343/5000][365/535][138590] Loss_D: -0.021003 Loss_G: 0.004106 Loss_D_real: -0.023284 Loss_D_fake -0.002281
[1343/5000][370/535][138591] Loss_D: -0.018373 Loss_G: -0.000640 Loss_D_real: -0.000435 Loss_D_fake 0.017937
[1343/5000][375/535][138592] Loss_D: -0.020685 Loss_G: 0.016238 Loss_D_real: -0.013211 Loss_D_fake 0.007474
[1343/5000][380/535][138593] Loss_D: -0.019805 Loss_G: 0.027896 Loss_D_real: -0.014442 Loss_D_fake 0.005364
[1343/5000][385/535][138594] Loss_D: -0.019734 Loss_G: 0.000765 Loss_D_real: -0.008083 Loss_D_fake 0.011651
[1343/5000][390/535][138595] Loss_D: -0.019408 Loss_G: -0.001711 Loss_D_real: -0.002065 Loss_D_fake 0.017343
[1343/5000][395/535][138596] Loss_D: -0.019293 Loss_G: 0.003622 Loss_D_real: -0.011981 Loss_D_fake 0.007313
[1343/5000][400/535][138597] Loss_D: -0.021283 Loss_G: 0.014629 Loss_D_real: -0.011504 Loss_D_fake 0.009780
[1343/5000][405/535][138598] Loss_D: -0.021348 Loss_G: 0.016124 Loss_D_real: -0.026173 Loss_D_fake -0.004826
[1343/5000][410/535][138599] Loss_D: -0.019833 Loss_G: 0.015286 Loss_D_real: 0.006734 Loss_D_fake 0.026567
[1343/5000][415/535][138600] Loss_D: -0.020157 Loss_G: 0.015790 Loss_D_real: -0.019568 Loss_D_fake 0.000589
[1343/5000][420/535][138601] Loss_D: -0.021280 Loss_G: 0.005982 Loss_D_real: -0.012854 Loss_D_fake 0.008427
[1343/5000][425/535][138602] Loss_D: -0.020258 Loss_G: 0.008020 Loss_D_real: 0.000758 Loss_D_fake 0.021016
[1343/5000][430/535][138603] Loss_D: -0.019899 Loss_G: 0.006560 Loss_D_real: -0.018076 Loss_D_fake 0.001823
[1343/5000][435/535][138604] Loss_D: -0.020870 Loss_G: 0.006744 Loss_D_real: 0.001802 Loss_D_fake 0.022673
[1343/5000][440/535][138605] Loss_D: -0.019686 Loss_G: 0.021262 Loss_D_real: -0.016280 Loss_D_fake 0.003406
[1343/5000][445/535][138606] Loss_D: -0.018916 Loss_G: 0.017332 Loss_D_real: -0.030876 Loss_D_fake -0.011959
[1343/5000][450/535][138607] Loss_D: -0.018639 Loss_G: 0.016578 Loss_D_real: -0.015675 Loss_D_fake 0.002964
[1343/5000][455/535][138608] Loss_D: -0.019110 Loss_G: 0.014075 Loss_D_real: -0.018563 Loss_D_fake 0.000547
[1343/5000][460/535][138609] Loss_D: -0.019825 Loss_G: 0.006233 Loss_D_real: -0.004897 Loss_D_fake 0.014929
[1343/5000][465/535][138610] Loss_D: -0.020314 Loss_G: 0.015307 Loss_D_real: -0.018912 Loss_D_fake 0.001402
[1343/5000][470/535][138611] Loss_D: -0.020333 Loss_G: -0.000976 Loss_D_real: -0.002034 Loss_D_fake 0.018299
[1343/5000][475/535][138612] Loss_D: -0.020737 Loss_G: 0.002717 Loss_D_real: -0.013562 Loss_D_fake 0.007175
[1343/5000][480/535][138613] Loss_D: -0.020155 Loss_G: 0.021436 Loss_D_real: -0.026953 Loss_D_fake -0.006797
[1343/5000][485/535][138614] Loss_D: -0.019719 Loss_G: 0.029932 Loss_D_real: -0.022607 Loss_D_fake -0.002888
[1343/5000][490/535][138615] Loss_D: -0.019315 Loss_G: 0.027584 Loss_D_real: -0.029501 Loss_D_fake -0.010187
[1343/5000][495/535][138616] Loss_D: -0.019978 Loss_G: 0.015194 Loss_D_real: -0.022902 Loss_D_fake -0.002925
[1343/5000][500/535][138617] Loss_D: -0.021014 Loss_G: 0.015971 Loss_D_real: -0.026947 Loss_D_fake -0.005933
[1343/5000][505/535][138618] Loss_D: -0.019575 Loss_G: 0.004177 Loss_D_real: 0.000693 Loss_D_fake 0.020268
[1343/5000][510/535][138619] Loss_D: -0.021626 Loss_G: -0.006197 Loss_D_real: -0.016295 Loss_D_fake 0.005332
[1343/5000][515/535][138620] Loss_D: -0.018054 Loss_G: -0.005279 Loss_D_real: -0.001726 Loss_D_fake 0.016328
[1343/5000][520/535][138621] Loss_D: -0.019612 Loss_G: 0.016217 Loss_D_real: -0.017076 Loss_D_fake 0.002536
[1343/5000][525/535][138622] Loss_D: -0.018029 Loss_G: -0.002374 Loss_D_real: -0.007560 Loss_D_fake 0.010470
[1343/5000][530/535][138623] Loss_D: -0.019197 Loss_G: 0.013504 Loss_D_real: -0.005792 Loss_D_fake 0.013405
[1343/5000][535/535][138624] Loss_D: -0.020481 Loss_G: 0.028894 Loss_D_real: -0.014674 Loss_D_fake 0.005807
[1344/5000][5/535][138625] Loss_D: -0.018561 Loss_G: -0.017564 Loss_D_real: -0.006476 Loss_D_fake 0.012085
[1344/5000][10/535][138626] Loss_D: -0.021050 Loss_G: 0.015777 Loss_D_real: -0.013353 Loss_D_fake 0.007697
[1344/5000][15/535][138627] Loss_D: -0.019525 Loss_G: 0.009223 Loss_D_real: -0.017797 Loss_D_fake 0.001728
[1344/5000][20/535][138628] Loss_D: -0.018746 Loss_G: 0.025503 Loss_D_real: -0.016549 Loss_D_fake 0.002197
[1344/5000][25/535][138629] Loss_D: -0.019363 Loss_G: 0.015786 Loss_D_real: -0.023437 Loss_D_fake -0.004074
[1344/5000][30/535][138630] Loss_D: -0.017856 Loss_G: 0.018114 Loss_D_real: -0.028546 Loss_D_fake -0.010690
[1344/5000][35/535][138631] Loss_D: -0.019588 Loss_G: 0.011413 Loss_D_real: -0.015386 Loss_D_fake 0.004202
[1344/5000][40/535][138632] Loss_D: -0.020761 Loss_G: 0.005639 Loss_D_real: -0.021957 Loss_D_fake -0.001196
[1344/5000][45/535][138633] Loss_D: -0.020022 Loss_G: 0.015196 Loss_D_real: -0.024296 Loss_D_fake -0.004274
[1344/5000][50/535][138634] Loss_D: -0.018473 Loss_G: -0.005007 Loss_D_real: 0.003468 Loss_D_fake 0.021940
[1344/5000][55/535][138635] Loss_D: -0.020612 Loss_G: 0.012490 Loss_D_real: -0.015552 Loss_D_fake 0.005060
[1344/5000][60/535][138636] Loss_D: -0.019891 Loss_G: 0.010030 Loss_D_real: -0.019582 Loss_D_fake 0.000309
[1344/5000][65/535][138637] Loss_D: -0.019672 Loss_G: -0.001860 Loss_D_real: -0.005748 Loss_D_fake 0.013923
[1344/5000][70/535][138638] Loss_D: -0.019357 Loss_G: 0.018348 Loss_D_real: -0.022398 Loss_D_fake -0.003042
[1344/5000][75/535][138639] Loss_D: -0.019545 Loss_G: 0.001331 Loss_D_real: -0.011119 Loss_D_fake 0.008426
[1344/5000][80/535][138640] Loss_D: -0.019589 Loss_G: 0.011078 Loss_D_real: -0.013592 Loss_D_fake 0.005997
[1344/5000][85/535][138641] Loss_D: -0.019782 Loss_G: 0.012244 Loss_D_real: -0.021340 Loss_D_fake -0.001558
[1344/5000][90/535][138642] Loss_D: -0.019309 Loss_G: 0.005364 Loss_D_real: -0.019070 Loss_D_fake 0.000238
[1344/5000][95/535][138643] Loss_D: -0.020402 Loss_G: -0.007614 Loss_D_real: -0.007551 Loss_D_fake 0.012851
[1344/5000][100/535][138644] Loss_D: -0.020063 Loss_G: 0.022363 Loss_D_real: -0.018536 Loss_D_fake 0.001527
[1344/5000][105/535][138645] Loss_D: -0.020441 Loss_G: 0.008064 Loss_D_real: -0.013575 Loss_D_fake 0.006866
[1344/5000][110/535][138646] Loss_D: -0.020191 Loss_G: 0.016301 Loss_D_real: -0.020430 Loss_D_fake -0.000240
[1344/5000][115/535][138647] Loss_D: -0.019175 Loss_G: 0.015448 Loss_D_real: -0.015781 Loss_D_fake 0.003394
[1344/5000][120/535][138648] Loss_D: -0.020126 Loss_G: 0.010192 Loss_D_real: -0.011554 Loss_D_fake 0.008572
[1344/5000][125/535][138649] Loss_D: -0.019460 Loss_G: 0.016713 Loss_D_real: -0.020063 Loss_D_fake -0.000604
[1344/5000][130/535][138650] Loss_D: -0.019213 Loss_G: 0.020130 Loss_D_real: -0.023267 Loss_D_fake -0.004054
[1344/5000][135/535][138651] Loss_D: -0.019331 Loss_G: 0.006448 Loss_D_real: -0.007782 Loss_D_fake 0.011549
[1344/5000][140/535][138652] Loss_D: -0.018873 Loss_G: -0.012675 Loss_D_real: -0.004588 Loss_D_fake 0.014285
[1344/5000][145/535][138653] Loss_D: -0.020258 Loss_G: 0.024344 Loss_D_real: -0.009099 Loss_D_fake 0.011159
[1344/5000][150/535][138654] Loss_D: -0.019550 Loss_G: 0.006252 Loss_D_real: -0.005512 Loss_D_fake 0.014038
[1344/5000][155/535][138655] Loss_D: -0.021190 Loss_G: 0.016380 Loss_D_real: -0.001761 Loss_D_fake 0.019429
[1344/5000][160/535][138656] Loss_D: -0.019451 Loss_G: 0.007914 Loss_D_real: -0.018504 Loss_D_fake 0.000947
[1344/5000][165/535][138657] Loss_D: -0.021088 Loss_G: -0.003748 Loss_D_real: -0.013628 Loss_D_fake 0.007460
[1344/5000][170/535][138658] Loss_D: -0.020500 Loss_G: 0.003363 Loss_D_real: -0.022961 Loss_D_fake -0.002461
[1344/5000][175/535][138659] Loss_D: -0.020184 Loss_G: 0.016748 Loss_D_real: -0.011349 Loss_D_fake 0.008836
[1344/5000][180/535][138660] Loss_D: -0.019192 Loss_G: 0.014745 Loss_D_real: -0.007082 Loss_D_fake 0.012110
[1344/5000][185/535][138661] Loss_D: -0.019206 Loss_G: 0.009062 Loss_D_real: -0.022120 Loss_D_fake -0.002914
[1344/5000][190/535][138662] Loss_D: -0.021446 Loss_G: 0.009024 Loss_D_real: -0.017987 Loss_D_fake 0.003460
[1344/5000][195/535][138663] Loss_D: -0.020794 Loss_G: 0.012221 Loss_D_real: -0.020706 Loss_D_fake 0.000088
[1344/5000][200/535][138664] Loss_D: -0.021254 Loss_G: 0.005518 Loss_D_real: -0.013930 Loss_D_fake 0.007324
[1344/5000][205/535][138665] Loss_D: -0.020341 Loss_G: 0.003314 Loss_D_real: -0.007699 Loss_D_fake 0.012642
[1344/5000][210/535][138666] Loss_D: -0.019063 Loss_G: 0.012929 Loss_D_real: -0.027842 Loss_D_fake -0.008778
[1344/5000][215/535][138667] Loss_D: -0.020292 Loss_G: 0.009611 Loss_D_real: -0.020525 Loss_D_fake -0.000233
[1344/5000][220/535][138668] Loss_D: -0.020022 Loss_G: 0.013521 Loss_D_real: -0.012535 Loss_D_fake 0.007486
[1344/5000][225/535][138669] Loss_D: -0.019686 Loss_G: 0.009997 Loss_D_real: -0.013202 Loss_D_fake 0.006484
[1344/5000][230/535][138670] Loss_D: -0.019061 Loss_G: -0.016196 Loss_D_real: 0.008863 Loss_D_fake 0.027924
[1344/5000][235/535][138671] Loss_D: -0.018188 Loss_G: -0.009843 Loss_D_real: -0.006308 Loss_D_fake 0.011880
[1344/5000][240/535][138672] Loss_D: -0.019077 Loss_G: 0.013955 Loss_D_real: -0.016285 Loss_D_fake 0.002792
[1344/5000][245/535][138673] Loss_D: -0.019142 Loss_G: 0.010617 Loss_D_real: -0.027027 Loss_D_fake -0.007885
[1344/5000][250/535][138674] Loss_D: -0.019538 Loss_G: 0.009405 Loss_D_real: -0.011234 Loss_D_fake 0.008304
[1344/5000][255/535][138675] Loss_D: -0.019153 Loss_G: 0.025334 Loss_D_real: -0.035412 Loss_D_fake -0.016259
[1344/5000][260/535][138676] Loss_D: -0.020550 Loss_G: 0.001825 Loss_D_real: -0.014921 Loss_D_fake 0.005629
[1344/5000][265/535][138677] Loss_D: -0.021354 Loss_G: 0.010186 Loss_D_real: -0.020540 Loss_D_fake 0.000814
[1344/5000][270/535][138678] Loss_D: -0.021886 Loss_G: 0.004546 Loss_D_real: -0.024831 Loss_D_fake -0.002944
[1344/5000][275/535][138679] Loss_D: -0.018901 Loss_G: -0.002079 Loss_D_real: -0.002900 Loss_D_fake 0.016001
[1344/5000][280/535][138680] Loss_D: -0.019617 Loss_G: 0.004139 Loss_D_real: -0.012363 Loss_D_fake 0.007253
[1344/5000][285/535][138681] Loss_D: -0.018653 Loss_G: 0.024615 Loss_D_real: -0.013119 Loss_D_fake 0.005534
[1344/5000][290/535][138682] Loss_D: -0.019065 Loss_G: 0.020156 Loss_D_real: -0.025416 Loss_D_fake -0.006351
[1344/5000][295/535][138683] Loss_D: -0.020547 Loss_G: 0.023437 Loss_D_real: -0.007857 Loss_D_fake 0.012690
[1344/5000][300/535][138684] Loss_D: -0.019515 Loss_G: -0.002297 Loss_D_real: 0.005333 Loss_D_fake 0.024849
[1344/5000][305/535][138685] Loss_D: -0.019143 Loss_G: 0.005631 Loss_D_real: -0.006187 Loss_D_fake 0.012956
[1344/5000][310/535][138686] Loss_D: -0.019523 Loss_G: 0.002546 Loss_D_real: -0.002793 Loss_D_fake 0.016729
[1344/5000][315/535][138687] Loss_D: -0.019311 Loss_G: 0.013577 Loss_D_real: -0.010779 Loss_D_fake 0.008532
[1344/5000][320/535][138688] Loss_D: -0.020982 Loss_G: -0.000747 Loss_D_real: -0.008169 Loss_D_fake 0.012813
[1344/5000][325/535][138689] Loss_D: -0.019418 Loss_G: 0.012152 Loss_D_real: -0.022346 Loss_D_fake -0.002928
[1344/5000][330/535][138690] Loss_D: -0.019028 Loss_G: 0.013759 Loss_D_real: -0.015764 Loss_D_fake 0.003264
[1344/5000][335/535][138691] Loss_D: -0.019454 Loss_G: -0.003266 Loss_D_real: 0.001453 Loss_D_fake 0.020908
[1344/5000][340/535][138692] Loss_D: -0.021094 Loss_G: 0.012911 Loss_D_real: -0.020860 Loss_D_fake 0.000234
[1344/5000][345/535][138693] Loss_D: -0.019515 Loss_G: 0.008727 Loss_D_real: -0.018438 Loss_D_fake 0.001077
[1344/5000][350/535][138694] Loss_D: -0.019097 Loss_G: -0.009092 Loss_D_real: 0.005821 Loss_D_fake 0.024919
[1344/5000][355/535][138695] Loss_D: -0.019257 Loss_G: 0.020202 Loss_D_real: -0.024571 Loss_D_fake -0.005314
[1344/5000][360/535][138696] Loss_D: -0.019559 Loss_G: 0.015517 Loss_D_real: -0.020771 Loss_D_fake -0.001212
[1344/5000][365/535][138697] Loss_D: -0.019736 Loss_G: 0.009446 Loss_D_real: -0.018784 Loss_D_fake 0.000952
[1344/5000][370/535][138698] Loss_D: -0.020131 Loss_G: 0.020003 Loss_D_real: -0.026600 Loss_D_fake -0.006470
[1344/5000][375/535][138699] Loss_D: -0.018451 Loss_G: 0.019738 Loss_D_real: -0.021612 Loss_D_fake -0.003160
[1344/5000][380/535][138700] Loss_D: -0.020675 Loss_G: 0.023035 Loss_D_real: -0.017232 Loss_D_fake 0.003443
[1344/5000][385/535][138701] Loss_D: -0.020214 Loss_G: -0.001546 Loss_D_real: -0.009575 Loss_D_fake 0.010639
[1344/5000][390/535][138702] Loss_D: -0.018564 Loss_G: 0.018258 Loss_D_real: -0.025582 Loss_D_fake -0.007018
[1344/5000][395/535][138703] Loss_D: -0.019426 Loss_G: 0.014695 Loss_D_real: -0.023470 Loss_D_fake -0.004044
[1344/5000][400/535][138704] Loss_D: -0.018266 Loss_G: -0.013511 Loss_D_real: 0.002040 Loss_D_fake 0.020306
[1344/5000][405/535][138705] Loss_D: -0.019956 Loss_G: 0.014990 Loss_D_real: -0.018144 Loss_D_fake 0.001811
[1344/5000][410/535][138706] Loss_D: -0.020350 Loss_G: 0.008024 Loss_D_real: -0.001760 Loss_D_fake 0.018590
[1344/5000][415/535][138707] Loss_D: -0.019943 Loss_G: -0.001047 Loss_D_real: -0.007075 Loss_D_fake 0.012868
[1344/5000][420/535][138708] Loss_D: -0.019390 Loss_G: 0.016970 Loss_D_real: -0.014994 Loss_D_fake 0.004395
[1344/5000][425/535][138709] Loss_D: -0.020140 Loss_G: 0.001116 Loss_D_real: -0.015956 Loss_D_fake 0.004184
[1344/5000][430/535][138710] Loss_D: -0.020799 Loss_G: 0.003624 Loss_D_real: -0.015167 Loss_D_fake 0.005632
[1344/5000][435/535][138711] Loss_D: -0.020021 Loss_G: 0.012575 Loss_D_real: -0.026120 Loss_D_fake -0.006099
[1344/5000][440/535][138712] Loss_D: -0.020201 Loss_G: 0.014887 Loss_D_real: -0.006461 Loss_D_fake 0.013740
[1344/5000][445/535][138713] Loss_D: -0.019796 Loss_G: -0.000007 Loss_D_real: -0.015285 Loss_D_fake 0.004511
[1344/5000][450/535][138714] Loss_D: -0.019275 Loss_G: -0.001534 Loss_D_real: -0.012759 Loss_D_fake 0.006516
[1344/5000][455/535][138715] Loss_D: -0.018751 Loss_G: 0.026808 Loss_D_real: -0.025564 Loss_D_fake -0.006813
[1344/5000][460/535][138716] Loss_D: -0.020821 Loss_G: 0.019412 Loss_D_real: -0.010466 Loss_D_fake 0.010355
[1344/5000][465/535][138717] Loss_D: -0.019241 Loss_G: 0.013795 Loss_D_real: -0.021129 Loss_D_fake -0.001888
[1344/5000][470/535][138718] Loss_D: -0.018282 Loss_G: 0.003730 Loss_D_real: -0.007417 Loss_D_fake 0.010865
[1344/5000][475/535][138719] Loss_D: -0.019169 Loss_G: 0.028087 Loss_D_real: -0.028682 Loss_D_fake -0.009514
[1344/5000][480/535][138720] Loss_D: -0.018189 Loss_G: 0.016725 Loss_D_real: -0.010095 Loss_D_fake 0.008094
[1344/5000][485/535][138721] Loss_D: -0.019068 Loss_G: 0.011949 Loss_D_real: -0.018359 Loss_D_fake 0.000709
[1344/5000][490/535][138722] Loss_D: -0.018409 Loss_G: -0.002400 Loss_D_real: -0.012701 Loss_D_fake 0.005708
[1344/5000][495/535][138723] Loss_D: -0.019600 Loss_G: 0.017968 Loss_D_real: -0.018973 Loss_D_fake 0.000627
[1344/5000][500/535][138724] Loss_D: -0.020194 Loss_G: 0.004639 Loss_D_real: -0.014451 Loss_D_fake 0.005743
[1344/5000][505/535][138725] Loss_D: -0.019679 Loss_G: 0.029624 Loss_D_real: -0.023893 Loss_D_fake -0.004214
[1344/5000][510/535][138726] Loss_D: -0.020142 Loss_G: 0.010295 Loss_D_real: -0.010677 Loss_D_fake 0.009466
[1344/5000][515/535][138727] Loss_D: -0.020146 Loss_G: -0.002421 Loss_D_real: -0.010817 Loss_D_fake 0.009329
[1344/5000][520/535][138728] Loss_D: -0.020558 Loss_G: 0.007953 Loss_D_real: -0.016048 Loss_D_fake 0.004510
[1344/5000][525/535][138729] Loss_D: -0.020469 Loss_G: 0.011277 Loss_D_real: -0.013765 Loss_D_fake 0.006704
[1344/5000][530/535][138730] Loss_D: -0.020354 Loss_G: 0.005601 Loss_D_real: -0.008752 Loss_D_fake 0.011602
[1344/5000][535/535][138731] Loss_D: -0.019860 Loss_G: 0.013347 Loss_D_real: -0.028888 Loss_D_fake -0.009028
[1345/5000][5/535][138732] Loss_D: -0.020388 Loss_G: -0.000382 Loss_D_real: -0.011956 Loss_D_fake 0.008432
[1345/5000][10/535][138733] Loss_D: -0.019793 Loss_G: 0.010219 Loss_D_real: -0.014242 Loss_D_fake 0.005551
[1345/5000][15/535][138734] Loss_D: -0.021030 Loss_G: 0.039840 Loss_D_real: -0.021092 Loss_D_fake -0.000062
[1345/5000][20/535][138735] Loss_D: -0.019774 Loss_G: 0.020505 Loss_D_real: -0.017188 Loss_D_fake 0.002586
[1345/5000][25/535][138736] Loss_D: -0.019669 Loss_G: 0.008004 Loss_D_real: -0.014875 Loss_D_fake 0.004794
[1345/5000][30/535][138737] Loss_D: -0.019096 Loss_G: 0.004674 Loss_D_real: -0.022053 Loss_D_fake -0.002957
[1345/5000][35/535][138738] Loss_D: -0.020526 Loss_G: -0.004174 Loss_D_real: -0.004134 Loss_D_fake 0.016392
[1345/5000][40/535][138739] Loss_D: -0.020537 Loss_G: -0.010804 Loss_D_real: -0.007542 Loss_D_fake 0.012996
[1345/5000][45/535][138740] Loss_D: -0.021094 Loss_G: 0.004876 Loss_D_real: -0.019984 Loss_D_fake 0.001110
[1345/5000][50/535][138741] Loss_D: -0.019632 Loss_G: 0.001298 Loss_D_real: -0.011048 Loss_D_fake 0.008585
[1345/5000][55/535][138742] Loss_D: -0.019909 Loss_G: 0.016049 Loss_D_real: -0.015120 Loss_D_fake 0.004789
[1345/5000][60/535][138743] Loss_D: -0.019560 Loss_G: 0.006196 Loss_D_real: -0.006762 Loss_D_fake 0.012798
[1345/5000][65/535][138744] Loss_D: -0.019562 Loss_G: 0.022437 Loss_D_real: -0.025128 Loss_D_fake -0.005566
[1345/5000][70/535][138745] Loss_D: -0.018248 Loss_G: 0.019580 Loss_D_real: -0.014643 Loss_D_fake 0.003606
[1345/5000][75/535][138746] Loss_D: -0.019209 Loss_G: 0.006727 Loss_D_real: -0.005621 Loss_D_fake 0.013588
[1345/5000][80/535][138747] Loss_D: -0.019699 Loss_G: 0.007794 Loss_D_real: -0.015493 Loss_D_fake 0.004207
[1345/5000][85/535][138748] Loss_D: -0.020328 Loss_G: 0.011779 Loss_D_real: -0.015969 Loss_D_fake 0.004359
[1345/5000][90/535][138749] Loss_D: -0.019977 Loss_G: 0.004587 Loss_D_real: -0.021621 Loss_D_fake -0.001644
[1345/5000][95/535][138750] Loss_D: -0.019171 Loss_G: 0.023599 Loss_D_real: -0.026975 Loss_D_fake -0.007804
[1345/5000][100/535][138751] Loss_D: -0.018749 Loss_G: 0.013158 Loss_D_real: -0.019121 Loss_D_fake -0.000372
[1345/5000][105/535][138752] Loss_D: -0.020678 Loss_G: -0.000245 Loss_D_real: -0.004480 Loss_D_fake 0.016198
[1345/5000][110/535][138753] Loss_D: -0.022064 Loss_G: 0.008090 Loss_D_real: -0.016094 Loss_D_fake 0.005971
[1345/5000][115/535][138754] Loss_D: -0.019758 Loss_G: 0.007228 Loss_D_real: -0.015635 Loss_D_fake 0.004123
[1345/5000][120/535][138755] Loss_D: -0.020713 Loss_G: 0.006689 Loss_D_real: -0.002966 Loss_D_fake 0.017748
[1345/5000][125/535][138756] Loss_D: -0.019666 Loss_G: 0.005207 Loss_D_real: -0.020000 Loss_D_fake -0.000334
[1345/5000][130/535][138757] Loss_D: -0.019732 Loss_G: 0.016133 Loss_D_real: -0.017876 Loss_D_fake 0.001856
[1345/5000][135/535][138758] Loss_D: -0.018921 Loss_G: 0.015107 Loss_D_real: -0.013881 Loss_D_fake 0.005039
[1345/5000][140/535][138759] Loss_D: -0.018118 Loss_G: -0.004264 Loss_D_real: -0.006833 Loss_D_fake 0.011284
[1345/5000][145/535][138760] Loss_D: -0.019060 Loss_G: 0.018216 Loss_D_real: -0.015113 Loss_D_fake 0.003948
[1345/5000][150/535][138761] Loss_D: -0.020216 Loss_G: 0.000699 Loss_D_real: 0.000917 Loss_D_fake 0.021133
[1345/5000][155/535][138762] Loss_D: -0.018683 Loss_G: 0.018068 Loss_D_real: -0.019495 Loss_D_fake -0.000812
[1345/5000][160/535][138763] Loss_D: -0.019642 Loss_G: 0.011399 Loss_D_real: -0.017536 Loss_D_fake 0.002106
[1345/5000][165/535][138764] Loss_D: -0.021489 Loss_G: 0.021731 Loss_D_real: -0.002173 Loss_D_fake 0.019316
[1345/5000][170/535][138765] Loss_D: -0.020213 Loss_G: 0.008366 Loss_D_real: -0.019718 Loss_D_fake 0.000495
[1345/5000][175/535][138766] Loss_D: -0.019879 Loss_G: 0.019071 Loss_D_real: -0.028957 Loss_D_fake -0.009078
[1345/5000][180/535][138767] Loss_D: -0.020318 Loss_G: 0.014201 Loss_D_real: -0.019915 Loss_D_fake 0.000403
[1345/5000][185/535][138768] Loss_D: -0.019445 Loss_G: 0.011850 Loss_D_real: -0.025512 Loss_D_fake -0.006067
[1345/5000][190/535][138769] Loss_D: -0.019584 Loss_G: 0.017541 Loss_D_real: -0.029287 Loss_D_fake -0.009704
[1345/5000][195/535][138770] Loss_D: -0.019683 Loss_G: 0.009354 Loss_D_real: -0.013592 Loss_D_fake 0.006092
[1345/5000][200/535][138771] Loss_D: -0.019906 Loss_G: -0.004169 Loss_D_real: -0.006673 Loss_D_fake 0.013233
[1345/5000][205/535][138772] Loss_D: -0.020504 Loss_G: 0.002585 Loss_D_real: -0.012353 Loss_D_fake 0.008151
[1345/5000][210/535][138773] Loss_D: -0.020743 Loss_G: 0.016622 Loss_D_real: -0.012782 Loss_D_fake 0.007961
[1345/5000][215/535][138774] Loss_D: -0.019905 Loss_G: 0.011050 Loss_D_real: -0.024143 Loss_D_fake -0.004238
[1345/5000][220/535][138775] Loss_D: -0.019907 Loss_G: -0.005120 Loss_D_real: -0.008262 Loss_D_fake 0.011645
[1345/5000][225/535][138776] Loss_D: -0.019156 Loss_G: 0.020956 Loss_D_real: -0.029417 Loss_D_fake -0.010262
[1345/5000][230/535][138777] Loss_D: -0.021873 Loss_G: -0.007187 Loss_D_real: -0.015677 Loss_D_fake 0.006196
[1345/5000][235/535][138778] Loss_D: -0.018971 Loss_G: 0.027030 Loss_D_real: -0.021613 Loss_D_fake -0.002642
[1345/5000][240/535][138779] Loss_D: -0.019724 Loss_G: 0.015358 Loss_D_real: -0.009784 Loss_D_fake 0.009940
[1345/5000][245/535][138780] Loss_D: -0.018690 Loss_G: 0.009112 Loss_D_real: -0.017539 Loss_D_fake 0.001151
[1345/5000][250/535][138781] Loss_D: -0.019684 Loss_G: 0.009171 Loss_D_real: -0.020773 Loss_D_fake -0.001089
[1345/5000][255/535][138782] Loss_D: -0.019569 Loss_G: 0.022414 Loss_D_real: -0.018520 Loss_D_fake 0.001049
[1345/5000][260/535][138783] Loss_D: -0.019265 Loss_G: 0.012170 Loss_D_real: -0.011023 Loss_D_fake 0.008242
[1345/5000][265/535][138784] Loss_D: -0.018832 Loss_G: 0.020017 Loss_D_real: -0.022210 Loss_D_fake -0.003378
[1345/5000][270/535][138785] Loss_D: -0.020615 Loss_G: 0.013716 Loss_D_real: -0.015589 Loss_D_fake 0.005026
[1345/5000][275/535][138786] Loss_D: -0.019982 Loss_G: 0.006766 Loss_D_real: -0.021272 Loss_D_fake -0.001290
[1345/5000][280/535][138787] Loss_D: -0.021245 Loss_G: 0.007689 Loss_D_real: -0.025411 Loss_D_fake -0.004166
[1345/5000][285/535][138788] Loss_D: -0.020102 Loss_G: 0.000029 Loss_D_real: -0.018322 Loss_D_fake 0.001780
[1345/5000][290/535][138789] Loss_D: -0.019754 Loss_G: 0.028776 Loss_D_real: -0.022241 Loss_D_fake -0.002487
[1345/5000][295/535][138790] Loss_D: -0.020991 Loss_G: 0.012594 Loss_D_real: -0.015426 Loss_D_fake 0.005565
[1345/5000][300/535][138791] Loss_D: -0.020081 Loss_G: -0.001384 Loss_D_real: -0.015832 Loss_D_fake 0.004248
[1345/5000][305/535][138792] Loss_D: -0.020337 Loss_G: 0.019982 Loss_D_real: -0.015705 Loss_D_fake 0.004632
[1345/5000][310/535][138793] Loss_D: -0.019006 Loss_G: -0.002233 Loss_D_real: -0.010547 Loss_D_fake 0.008459
[1345/5000][315/535][138794] Loss_D: -0.019951 Loss_G: 0.009071 Loss_D_real: -0.013234 Loss_D_fake 0.006718
[1345/5000][320/535][138795] Loss_D: -0.020701 Loss_G: -0.007670 Loss_D_real: -0.009895 Loss_D_fake 0.010805
[1345/5000][325/535][138796] Loss_D: -0.019324 Loss_G: 0.012038 Loss_D_real: -0.007317 Loss_D_fake 0.012007
[1345/5000][330/535][138797] Loss_D: -0.019852 Loss_G: -0.000425 Loss_D_real: -0.004450 Loss_D_fake 0.015401
[1345/5000][335/535][138798] Loss_D: -0.018357 Loss_G: -0.004939 Loss_D_real: 0.003590 Loss_D_fake 0.021947
[1345/5000][340/535][138799] Loss_D: -0.021172 Loss_G: 0.011675 Loss_D_real: -0.018215 Loss_D_fake 0.002956
[1345/5000][345/535][138800] Loss_D: -0.020198 Loss_G: 0.002139 Loss_D_real: -0.004956 Loss_D_fake 0.015241
[1345/5000][350/535][138801] Loss_D: -0.018817 Loss_G: 0.016316 Loss_D_real: -0.015886 Loss_D_fake 0.002931
[1345/5000][355/535][138802] Loss_D: -0.019489 Loss_G: -0.012335 Loss_D_real: -0.003563 Loss_D_fake 0.015927
[1345/5000][360/535][138803] Loss_D: -0.019356 Loss_G: 0.020080 Loss_D_real: -0.007707 Loss_D_fake 0.011649
[1345/5000][365/535][138804] Loss_D: -0.018343 Loss_G: -0.007608 Loss_D_real: 0.003791 Loss_D_fake 0.022134
[1345/5000][370/535][138805] Loss_D: -0.020295 Loss_G: 0.022238 Loss_D_real: -0.011668 Loss_D_fake 0.008627
[1345/5000][375/535][138806] Loss_D: -0.017986 Loss_G: 0.020347 Loss_D_real: -0.017669 Loss_D_fake 0.000317
[1345/5000][380/535][138807] Loss_D: -0.019952 Loss_G: 0.006982 Loss_D_real: -0.027189 Loss_D_fake -0.007237
[1345/5000][385/535][138808] Loss_D: -0.019022 Loss_G: 0.013916 Loss_D_real: -0.028213 Loss_D_fake -0.009191
[1345/5000][390/535][138809] Loss_D: -0.020732 Loss_G: 0.009567 Loss_D_real: -0.019654 Loss_D_fake 0.001077
[1345/5000][395/535][138810] Loss_D: -0.020378 Loss_G: -0.005908 Loss_D_real: 0.009653 Loss_D_fake 0.030031
[1345/5000][400/535][138811] Loss_D: -0.021181 Loss_G: 0.000277 Loss_D_real: -0.016520 Loss_D_fake 0.004661
[1345/5000][405/535][138812] Loss_D: -0.019001 Loss_G: 0.013464 Loss_D_real: -0.016428 Loss_D_fake 0.002574
[1345/5000][410/535][138813] Loss_D: -0.020312 Loss_G: 0.004675 Loss_D_real: -0.017682 Loss_D_fake 0.002629
[1345/5000][415/535][138814] Loss_D: -0.020449 Loss_G: 0.014860 Loss_D_real: -0.008665 Loss_D_fake 0.011784
[1345/5000][420/535][138815] Loss_D: -0.018701 Loss_G: -0.008119 Loss_D_real: -0.002471 Loss_D_fake 0.016230
[1345/5000][425/535][138816] Loss_D: -0.019482 Loss_G: -0.000573 Loss_D_real: -0.015385 Loss_D_fake 0.004096
[1345/5000][430/535][138817] Loss_D: -0.020906 Loss_G: 0.003127 Loss_D_real: -0.014170 Loss_D_fake 0.006736
[1345/5000][435/535][138818] Loss_D: -0.018647 Loss_G: 0.018456 Loss_D_real: -0.020300 Loss_D_fake -0.001653
[1345/5000][440/535][138819] Loss_D: -0.020404 Loss_G: 0.008280 Loss_D_real: -0.005762 Loss_D_fake 0.014642
[1345/5000][445/535][138820] Loss_D: -0.019808 Loss_G: -0.003990 Loss_D_real: -0.011575 Loss_D_fake 0.008233
[1345/5000][450/535][138821] Loss_D: -0.020313 Loss_G: 0.010761 Loss_D_real: -0.005912 Loss_D_fake 0.014401
[1345/5000][455/535][138822] Loss_D: -0.020565 Loss_G: 0.018609 Loss_D_real: -0.010710 Loss_D_fake 0.009854
[1345/5000][460/535][138823] Loss_D: -0.019092 Loss_G: 0.018333 Loss_D_real: -0.002974 Loss_D_fake 0.016118
[1345/5000][465/535][138824] Loss_D: -0.021067 Loss_G: 0.013942 Loss_D_real: -0.010099 Loss_D_fake 0.010967
[1345/5000][470/535][138825] Loss_D: -0.018870 Loss_G: 0.005655 Loss_D_real: -0.010740 Loss_D_fake 0.008130
[1345/5000][475/535][138826] Loss_D: -0.019640 Loss_G: -0.007889 Loss_D_real: 0.000117 Loss_D_fake 0.019757
[1345/5000][480/535][138827] Loss_D: -0.018519 Loss_G: 0.029594 Loss_D_real: -0.020284 Loss_D_fake -0.001765
[1345/5000][485/535][138828] Loss_D: -0.019060 Loss_G: 0.009195 Loss_D_real: -0.013069 Loss_D_fake 0.005991
[1345/5000][490/535][138829] Loss_D: -0.020195 Loss_G: 0.006540 Loss_D_real: -0.018191 Loss_D_fake 0.002004
[1345/5000][495/535][138830] Loss_D: -0.021100 Loss_G: 0.017754 Loss_D_real: -0.012464 Loss_D_fake 0.008636
[1345/5000][500/535][138831] Loss_D: -0.019454 Loss_G: 0.012907 Loss_D_real: -0.019898 Loss_D_fake -0.000444
[1345/5000][505/535][138832] Loss_D: -0.019535 Loss_G: 0.007060 Loss_D_real: -0.012802 Loss_D_fake 0.006732
[1345/5000][510/535][138833] Loss_D: -0.019427 Loss_G: 0.003420 Loss_D_real: -0.010630 Loss_D_fake 0.008797
[1345/5000][515/535][138834] Loss_D: -0.019391 Loss_G: 0.015893 Loss_D_real: -0.019622 Loss_D_fake -0.000230
[1345/5000][520/535][138835] Loss_D: -0.019253 Loss_G: 0.001397 Loss_D_real: -0.005412 Loss_D_fake 0.013841
[1345/5000][525/535][138836] Loss_D: -0.019440 Loss_G: -0.007845 Loss_D_real: -0.004256 Loss_D_fake 0.015184
[1345/5000][530/535][138837] Loss_D: -0.019170 Loss_G: 0.019621 Loss_D_real: -0.017976 Loss_D_fake 0.001194
[1345/5000][535/535][138838] Loss_D: -0.022561 Loss_G: -0.020839 Loss_D_real: -0.028850 Loss_D_fake -0.006289
[1346/5000][5/535][138839] Loss_D: -0.019493 Loss_G: 0.022064 Loss_D_real: -0.015947 Loss_D_fake 0.003546
[1346/5000][10/535][138840] Loss_D: -0.020804 Loss_G: 0.012421 Loss_D_real: -0.026287 Loss_D_fake -0.005484
[1346/5000][15/535][138841] Loss_D: -0.019499 Loss_G: 0.009431 Loss_D_real: -0.015199 Loss_D_fake 0.004300
[1346/5000][20/535][138842] Loss_D: -0.019604 Loss_G: 0.002451 Loss_D_real: -0.008199 Loss_D_fake 0.011405
[1346/5000][25/535][138843] Loss_D: -0.018118 Loss_G: 0.023433 Loss_D_real: -0.023518 Loss_D_fake -0.005400
[1346/5000][30/535][138844] Loss_D: -0.020040 Loss_G: 0.004505 Loss_D_real: -0.020800 Loss_D_fake -0.000760
[1346/5000][35/535][138845] Loss_D: -0.020687 Loss_G: -0.016593 Loss_D_real: -0.004588 Loss_D_fake 0.016099
[1346/5000][40/535][138846] Loss_D: -0.021170 Loss_G: 0.003952 Loss_D_real: -0.004574 Loss_D_fake 0.016596
[1346/5000][45/535][138847] Loss_D: -0.018415 Loss_G: -0.006309 Loss_D_real: -0.004130 Loss_D_fake 0.014284
[1346/5000][50/535][138848] Loss_D: -0.020588 Loss_G: 0.006529 Loss_D_real: -0.002172 Loss_D_fake 0.018416
[1346/5000][55/535][138849] Loss_D: -0.019054 Loss_G: 0.012332 Loss_D_real: -0.019688 Loss_D_fake -0.000634
[1346/5000][60/535][138850] Loss_D: -0.019277 Loss_G: 0.012612 Loss_D_real: -0.011934 Loss_D_fake 0.007343
[1346/5000][65/535][138851] Loss_D: -0.018251 Loss_G: 0.016603 Loss_D_real: -0.026873 Loss_D_fake -0.008622
[1346/5000][70/535][138852] Loss_D: -0.019977 Loss_G: -0.006196 Loss_D_real: 0.000234 Loss_D_fake 0.020211
[1346/5000][75/535][138853] Loss_D: -0.018469 Loss_G: 0.013422 Loss_D_real: -0.013165 Loss_D_fake 0.005303
[1346/5000][80/535][138854] Loss_D: -0.018975 Loss_G: -0.017006 Loss_D_real: -0.007399 Loss_D_fake 0.011576
[1346/5000][85/535][138855] Loss_D: -0.018093 Loss_G: 0.027999 Loss_D_real: -0.016098 Loss_D_fake 0.001994
[1346/5000][90/535][138856] Loss_D: -0.019915 Loss_G: 0.026948 Loss_D_real: -0.007127 Loss_D_fake 0.012787
[1346/5000][95/535][138857] Loss_D: -0.019327 Loss_G: 0.007295 Loss_D_real: -0.022675 Loss_D_fake -0.003347
[1346/5000][100/535][138858] Loss_D: -0.019254 Loss_G: 0.000234 Loss_D_real: -0.005972 Loss_D_fake 0.013282
[1346/5000][105/535][138859] Loss_D: -0.020653 Loss_G: 0.005240 Loss_D_real: 0.001670 Loss_D_fake 0.022322
[1346/5000][110/535][138860] Loss_D: -0.019318 Loss_G: -0.002286 Loss_D_real: -0.006275 Loss_D_fake 0.013043
[1346/5000][115/535][138861] Loss_D: -0.020457 Loss_G: -0.004392 Loss_D_real: -0.004760 Loss_D_fake 0.015697
[1346/5000][120/535][138862] Loss_D: -0.019456 Loss_G: 0.018660 Loss_D_real: -0.016448 Loss_D_fake 0.003008
[1346/5000][125/535][138863] Loss_D: -0.019614 Loss_G: 0.000835 Loss_D_real: -0.004291 Loss_D_fake 0.015323
[1346/5000][130/535][138864] Loss_D: -0.019547 Loss_G: 0.023836 Loss_D_real: -0.022109 Loss_D_fake -0.002562
[1346/5000][135/535][138865] Loss_D: -0.021231 Loss_G: 0.016345 Loss_D_real: -0.018735 Loss_D_fake 0.002496
[1346/5000][140/535][138866] Loss_D: -0.019208 Loss_G: -0.007645 Loss_D_real: -0.007445 Loss_D_fake 0.011762
[1346/5000][145/535][138867] Loss_D: -0.018545 Loss_G: 0.025243 Loss_D_real: -0.023617 Loss_D_fake -0.005072
[1346/5000][150/535][138868] Loss_D: -0.018839 Loss_G: 0.024100 Loss_D_real: -0.027700 Loss_D_fake -0.008860
[1346/5000][155/535][138869] Loss_D: -0.021130 Loss_G: -0.000345 Loss_D_real: -0.024736 Loss_D_fake -0.003606
[1346/5000][160/535][138870] Loss_D: -0.020078 Loss_G: 0.011374 Loss_D_real: -0.018638 Loss_D_fake 0.001440
[1346/5000][165/535][138871] Loss_D: -0.019494 Loss_G: 0.006583 Loss_D_real: -0.020541 Loss_D_fake -0.001047
[1346/5000][170/535][138872] Loss_D: -0.019504 Loss_G: 0.000857 Loss_D_real: -0.004626 Loss_D_fake 0.014878
[1346/5000][175/535][138873] Loss_D: -0.019547 Loss_G: 0.013149 Loss_D_real: -0.006801 Loss_D_fake 0.012746
[1346/5000][180/535][138874] Loss_D: -0.020008 Loss_G: -0.007823 Loss_D_real: -0.008434 Loss_D_fake 0.011574
[1346/5000][185/535][138875] Loss_D: -0.020934 Loss_G: 0.023576 Loss_D_real: -0.027784 Loss_D_fake -0.006850
[1346/5000][190/535][138876] Loss_D: -0.019991 Loss_G: 0.018752 Loss_D_real: -0.012519 Loss_D_fake 0.007471
[1346/5000][195/535][138877] Loss_D: -0.020800 Loss_G: 0.010019 Loss_D_real: -0.004246 Loss_D_fake 0.016555
[1346/5000][200/535][138878] Loss_D: -0.019487 Loss_G: 0.021569 Loss_D_real: -0.015331 Loss_D_fake 0.004156
[1346/5000][205/535][138879] Loss_D: -0.018437 Loss_G: 0.004433 Loss_D_real: -0.016733 Loss_D_fake 0.001704
[1346/5000][210/535][138880] Loss_D: -0.021141 Loss_G: 0.002887 Loss_D_real: -0.016947 Loss_D_fake 0.004194
[1346/5000][215/535][138881] Loss_D: -0.018966 Loss_G: 0.002188 Loss_D_real: -0.006186 Loss_D_fake 0.012780
[1346/5000][220/535][138882] Loss_D: -0.019242 Loss_G: 0.024640 Loss_D_real: -0.015070 Loss_D_fake 0.004172
[1346/5000][225/535][138883] Loss_D: -0.018117 Loss_G: 0.004478 Loss_D_real: -0.002849 Loss_D_fake 0.015268
[1346/5000][230/535][138884] Loss_D: -0.019579 Loss_G: 0.017116 Loss_D_real: -0.008600 Loss_D_fake 0.010979
[1346/5000][235/535][138885] Loss_D: -0.019324 Loss_G: 0.002694 Loss_D_real: 0.001455 Loss_D_fake 0.020779
[1346/5000][240/535][138886] Loss_D: -0.019426 Loss_G: -0.004419 Loss_D_real: -0.016732 Loss_D_fake 0.002694
[1346/5000][245/535][138887] Loss_D: -0.017973 Loss_G: 0.014964 Loss_D_real: -0.026656 Loss_D_fake -0.008682
[1346/5000][250/535][138888] Loss_D: -0.020069 Loss_G: -0.001231 Loss_D_real: -0.016045 Loss_D_fake 0.004024
[1346/5000][255/535][138889] Loss_D: -0.018616 Loss_G: -0.009212 Loss_D_real: 0.009934 Loss_D_fake 0.028550
[1346/5000][260/535][138890] Loss_D: -0.019867 Loss_G: -0.001369 Loss_D_real: -0.006603 Loss_D_fake 0.013265
[1346/5000][265/535][138891] Loss_D: -0.020206 Loss_G: 0.007150 Loss_D_real: -0.009709 Loss_D_fake 0.010496
[1346/5000][270/535][138892] Loss_D: -0.020581 Loss_G: -0.004680 Loss_D_real: -0.001580 Loss_D_fake 0.019001
[1346/5000][275/535][138893] Loss_D: -0.021901 Loss_G: 0.019600 Loss_D_real: -0.017502 Loss_D_fake 0.004400
[1346/5000][280/535][138894] Loss_D: -0.020309 Loss_G: -0.004751 Loss_D_real: -0.001877 Loss_D_fake 0.018432
[1346/5000][285/535][138895] Loss_D: -0.018871 Loss_G: -0.003989 Loss_D_real: 0.004354 Loss_D_fake 0.023225
[1346/5000][290/535][138896] Loss_D: -0.019920 Loss_G: 0.019134 Loss_D_real: -0.015297 Loss_D_fake 0.004623
[1346/5000][295/535][138897] Loss_D: -0.021041 Loss_G: 0.006676 Loss_D_real: -0.004085 Loss_D_fake 0.016957
[1346/5000][300/535][138898] Loss_D: -0.020050 Loss_G: 0.015330 Loss_D_real: -0.018681 Loss_D_fake 0.001369
[1346/5000][305/535][138899] Loss_D: -0.020680 Loss_G: -0.010842 Loss_D_real: -0.017654 Loss_D_fake 0.003026
[1346/5000][310/535][138900] Loss_D: -0.020530 Loss_G: 0.011694 Loss_D_real: -0.008946 Loss_D_fake 0.011584
[1346/5000][315/535][138901] Loss_D: -0.020260 Loss_G: 0.010631 Loss_D_real: -0.016174 Loss_D_fake 0.004086
[1346/5000][320/535][138902] Loss_D: -0.020433 Loss_G: 0.020750 Loss_D_real: -0.014605 Loss_D_fake 0.005828
[1346/5000][325/535][138903] Loss_D: -0.019984 Loss_G: 0.013116 Loss_D_real: -0.017155 Loss_D_fake 0.002829
[1346/5000][330/535][138904] Loss_D: -0.019073 Loss_G: -0.009914 Loss_D_real: -0.004822 Loss_D_fake 0.014251
[1346/5000][335/535][138905] Loss_D: -0.019170 Loss_G: 0.012529 Loss_D_real: -0.023149 Loss_D_fake -0.003979
[1346/5000][340/535][138906] Loss_D: -0.019233 Loss_G: 0.018525 Loss_D_real: -0.026619 Loss_D_fake -0.007385
[1346/5000][345/535][138907] Loss_D: -0.018795 Loss_G: 0.008796 Loss_D_real: -0.024168 Loss_D_fake -0.005373
[1346/5000][350/535][138908] Loss_D: -0.019141 Loss_G: 0.017593 Loss_D_real: -0.017247 Loss_D_fake 0.001894
[1346/5000][355/535][138909] Loss_D: -0.019209 Loss_G: 0.013091 Loss_D_real: -0.009029 Loss_D_fake 0.010180
[1346/5000][360/535][138910] Loss_D: -0.019063 Loss_G: 0.001041 Loss_D_real: -0.002182 Loss_D_fake 0.016881
[1346/5000][365/535][138911] Loss_D: -0.019820 Loss_G: 0.021986 Loss_D_real: -0.022241 Loss_D_fake -0.002421
[1346/5000][370/535][138912] Loss_D: -0.020813 Loss_G: 0.005834 Loss_D_real: -0.025972 Loss_D_fake -0.005159
[1346/5000][375/535][138913] Loss_D: -0.019055 Loss_G: 0.011690 Loss_D_real: -0.028138 Loss_D_fake -0.009083
[1346/5000][380/535][138914] Loss_D: -0.019515 Loss_G: 0.002574 Loss_D_real: -0.001801 Loss_D_fake 0.017714
[1346/5000][385/535][138915] Loss_D: -0.018752 Loss_G: 0.023729 Loss_D_real: -0.024280 Loss_D_fake -0.005529
[1346/5000][390/535][138916] Loss_D: -0.019968 Loss_G: -0.002796 Loss_D_real: -0.010515 Loss_D_fake 0.009453
[1346/5000][395/535][138917] Loss_D: -0.019488 Loss_G: 0.023595 Loss_D_real: -0.030495 Loss_D_fake -0.011007
[1346/5000][400/535][138918] Loss_D: -0.019949 Loss_G: -0.001652 Loss_D_real: 0.009381 Loss_D_fake 0.029330
[1346/5000][405/535][138919] Loss_D: -0.019762 Loss_G: 0.012155 Loss_D_real: -0.004539 Loss_D_fake 0.015223
[1346/5000][410/535][138920] Loss_D: -0.019212 Loss_G: 0.024817 Loss_D_real: -0.014818 Loss_D_fake 0.004394
[1346/5000][415/535][138921] Loss_D: -0.020001 Loss_G: 0.012481 Loss_D_real: -0.024715 Loss_D_fake -0.004714
[1346/5000][420/535][138922] Loss_D: -0.020452 Loss_G: -0.011287 Loss_D_real: -0.009122 Loss_D_fake 0.011330
[1346/5000][425/535][138923] Loss_D: -0.019552 Loss_G: 0.015409 Loss_D_real: -0.018999 Loss_D_fake 0.000553
[1346/5000][430/535][138924] Loss_D: -0.020713 Loss_G: 0.002048 Loss_D_real: -0.013930 Loss_D_fake 0.006783
[1346/5000][435/535][138925] Loss_D: -0.019603 Loss_G: 0.009215 Loss_D_real: -0.011379 Loss_D_fake 0.008224
[1346/5000][440/535][138926] Loss_D: -0.021067 Loss_G: 0.014384 Loss_D_real: -0.012330 Loss_D_fake 0.008738
[1346/5000][445/535][138927] Loss_D: -0.019436 Loss_G: 0.004344 Loss_D_real: -0.022524 Loss_D_fake -0.003088
[1346/5000][450/535][138928] Loss_D: -0.019742 Loss_G: 0.006069 Loss_D_real: -0.007376 Loss_D_fake 0.012365
[1346/5000][455/535][138929] Loss_D: -0.019370 Loss_G: 0.006840 Loss_D_real: -0.018432 Loss_D_fake 0.000938
[1346/5000][460/535][138930] Loss_D: -0.020733 Loss_G: 0.025282 Loss_D_real: -0.023478 Loss_D_fake -0.002745
[1346/5000][465/535][138931] Loss_D: -0.019672 Loss_G: 0.001297 Loss_D_real: -0.007906 Loss_D_fake 0.011766
[1346/5000][470/535][138932] Loss_D: -0.021309 Loss_G: 0.015570 Loss_D_real: -0.012781 Loss_D_fake 0.008528
[1346/5000][475/535][138933] Loss_D: -0.019371 Loss_G: -0.001314 Loss_D_real: -0.011707 Loss_D_fake 0.007664
[1346/5000][480/535][138934] Loss_D: -0.019715 Loss_G: 0.002707 Loss_D_real: -0.004763 Loss_D_fake 0.014953
[1346/5000][485/535][138935] Loss_D: -0.019975 Loss_G: 0.017438 Loss_D_real: -0.015056 Loss_D_fake 0.004918
[1346/5000][490/535][138936] Loss_D: -0.019435 Loss_G: 0.017010 Loss_D_real: -0.021628 Loss_D_fake -0.002193
[1346/5000][495/535][138937] Loss_D: -0.019900 Loss_G: -0.001328 Loss_D_real: -0.003251 Loss_D_fake 0.016649
[1346/5000][500/535][138938] Loss_D: -0.019562 Loss_G: 0.020074 Loss_D_real: -0.025867 Loss_D_fake -0.006305
[1346/5000][505/535][138939] Loss_D: -0.020655 Loss_G: 0.004532 Loss_D_real: 0.006307 Loss_D_fake 0.026961
[1346/5000][510/535][138940] Loss_D: -0.020016 Loss_G: 0.013436 Loss_D_real: -0.022250 Loss_D_fake -0.002235
[1346/5000][515/535][138941] Loss_D: -0.021107 Loss_G: 0.020701 Loss_D_real: -0.014041 Loss_D_fake 0.007066
[1346/5000][520/535][138942] Loss_D: -0.020998 Loss_G: 0.003270 Loss_D_real: -0.022127 Loss_D_fake -0.001129
[1346/5000][525/535][138943] Loss_D: -0.020255 Loss_G: 0.018137 Loss_D_real: -0.013605 Loss_D_fake 0.006650
[1346/5000][530/535][138944] Loss_D: -0.018457 Loss_G: 0.027094 Loss_D_real: -0.026006 Loss_D_fake -0.007548
[1346/5000][535/535][138945] Loss_D: -0.019267 Loss_G: -0.001866 Loss_D_real: -0.013296 Loss_D_fake 0.005971
[1347/5000][5/535][138946] Loss_D: -0.019411 Loss_G: -0.007521 Loss_D_real: -0.010698 Loss_D_fake 0.008713
[1347/5000][10/535][138947] Loss_D: -0.020817 Loss_G: 0.004712 Loss_D_real: -0.024552 Loss_D_fake -0.003735
[1347/5000][15/535][138948] Loss_D: -0.019951 Loss_G: 0.019724 Loss_D_real: -0.020048 Loss_D_fake -0.000097
[1347/5000][20/535][138949] Loss_D: -0.020528 Loss_G: 0.006170 Loss_D_real: -0.011472 Loss_D_fake 0.009056
[1347/5000][25/535][138950] Loss_D: -0.020109 Loss_G: 0.012680 Loss_D_real: -0.018381 Loss_D_fake 0.001728
[1347/5000][30/535][138951] Loss_D: -0.020398 Loss_G: 0.008047 Loss_D_real: -0.009011 Loss_D_fake 0.011387
[1347/5000][35/535][138952] Loss_D: -0.019183 Loss_G: 0.019926 Loss_D_real: -0.017411 Loss_D_fake 0.001772
[1347/5000][40/535][138953] Loss_D: -0.018895 Loss_G: -0.004438 Loss_D_real: -0.003371 Loss_D_fake 0.015525
[1347/5000][45/535][138954] Loss_D: -0.018828 Loss_G: 0.020338 Loss_D_real: -0.021755 Loss_D_fake -0.002927
[1347/5000][50/535][138955] Loss_D: -0.019597 Loss_G: 0.015349 Loss_D_real: -0.014624 Loss_D_fake 0.004973
[1347/5000][55/535][138956] Loss_D: -0.020684 Loss_G: 0.007372 Loss_D_real: 0.000765 Loss_D_fake 0.021449
[1347/5000][60/535][138957] Loss_D: -0.018959 Loss_G: 0.023857 Loss_D_real: -0.027051 Loss_D_fake -0.008092
[1347/5000][65/535][138958] Loss_D: -0.018697 Loss_G: 0.017065 Loss_D_real: -0.032212 Loss_D_fake -0.013515
[1347/5000][70/535][138959] Loss_D: -0.019864 Loss_G: 0.005224 Loss_D_real: -0.006465 Loss_D_fake 0.013399
[1347/5000][75/535][138960] Loss_D: -0.019242 Loss_G: 0.006857 Loss_D_real: -0.017417 Loss_D_fake 0.001825
[1347/5000][80/535][138961] Loss_D: -0.018909 Loss_G: 0.019269 Loss_D_real: -0.021571 Loss_D_fake -0.002662
[1347/5000][85/535][138962] Loss_D: -0.018129 Loss_G: 0.002428 Loss_D_real: -0.014358 Loss_D_fake 0.003771
[1347/5000][90/535][138963] Loss_D: -0.019260 Loss_G: 0.013055 Loss_D_real: -0.016730 Loss_D_fake 0.002531
[1347/5000][95/535][138964] Loss_D: -0.019125 Loss_G: 0.023904 Loss_D_real: -0.028335 Loss_D_fake -0.009210
[1347/5000][100/535][138965] Loss_D: -0.020233 Loss_G: 0.022959 Loss_D_real: -0.030020 Loss_D_fake -0.009786
[1347/5000][105/535][138966] Loss_D: -0.019870 Loss_G: -0.001908 Loss_D_real: -0.001543 Loss_D_fake 0.018327
[1347/5000][110/535][138967] Loss_D: -0.019064 Loss_G: 0.010703 Loss_D_real: -0.005287 Loss_D_fake 0.013777
[1347/5000][115/535][138968] Loss_D: -0.019794 Loss_G: 0.012313 Loss_D_real: -0.009893 Loss_D_fake 0.009901
[1347/5000][120/535][138969] Loss_D: -0.020068 Loss_G: -0.003769 Loss_D_real: -0.000330 Loss_D_fake 0.019739
[1347/5000][125/535][138970] Loss_D: -0.019935 Loss_G: 0.011581 Loss_D_real: -0.010123 Loss_D_fake 0.009811
[1347/5000][130/535][138971] Loss_D: -0.020236 Loss_G: 0.017823 Loss_D_real: -0.014988 Loss_D_fake 0.005248
[1347/5000][135/535][138972] Loss_D: -0.019776 Loss_G: 0.004029 Loss_D_real: -0.013793 Loss_D_fake 0.005984
[1347/5000][140/535][138973] Loss_D: -0.020923 Loss_G: 0.008265 Loss_D_real: -0.018125 Loss_D_fake 0.002798
[1347/5000][145/535][138974] Loss_D: -0.019480 Loss_G: 0.016585 Loss_D_real: -0.021708 Loss_D_fake -0.002227
[1347/5000][150/535][138975] Loss_D: -0.019269 Loss_G: 0.000178 Loss_D_real: -0.025031 Loss_D_fake -0.005761
[1347/5000][155/535][138976] Loss_D: -0.019453 Loss_G: 0.001043 Loss_D_real: -0.013029 Loss_D_fake 0.006424
[1347/5000][160/535][138977] Loss_D: -0.019018 Loss_G: -0.011322 Loss_D_real: -0.010417 Loss_D_fake 0.008601
[1347/5000][165/535][138978] Loss_D: -0.019618 Loss_G: 0.024621 Loss_D_real: -0.024503 Loss_D_fake -0.004884
[1347/5000][170/535][138979] Loss_D: -0.019928 Loss_G: 0.022327 Loss_D_real: -0.016099 Loss_D_fake 0.003829
[1347/5000][175/535][138980] Loss_D: -0.018532 Loss_G: 0.029144 Loss_D_real: -0.027216 Loss_D_fake -0.008683
[1347/5000][180/535][138981] Loss_D: -0.018992 Loss_G: 0.018472 Loss_D_real: -0.027026 Loss_D_fake -0.008034
[1347/5000][185/535][138982] Loss_D: -0.020366 Loss_G: 0.006635 Loss_D_real: -0.025571 Loss_D_fake -0.005205
[1347/5000][190/535][138983] Loss_D: -0.019196 Loss_G: 0.018408 Loss_D_real: -0.009958 Loss_D_fake 0.009238
[1347/5000][195/535][138984] Loss_D: -0.020046 Loss_G: -0.000456 Loss_D_real: 0.007594 Loss_D_fake 0.027639
[1347/5000][200/535][138985] Loss_D: -0.019329 Loss_G: 0.009294 Loss_D_real: -0.016356 Loss_D_fake 0.002973
[1347/5000][205/535][138986] Loss_D: -0.018924 Loss_G: -0.008878 Loss_D_real: -0.006738 Loss_D_fake 0.012186
[1347/5000][210/535][138987] Loss_D: -0.019033 Loss_G: 0.012842 Loss_D_real: -0.012153 Loss_D_fake 0.006880
[1347/5000][215/535][138988] Loss_D: -0.019420 Loss_G: 0.021519 Loss_D_real: -0.025417 Loss_D_fake -0.005997
[1347/5000][220/535][138989] Loss_D: -0.020617 Loss_G: 0.017447 Loss_D_real: -0.020998 Loss_D_fake -0.000381
[1347/5000][225/535][138990] Loss_D: -0.019980 Loss_G: 0.001810 Loss_D_real: -0.001355 Loss_D_fake 0.018625
[1347/5000][230/535][138991] Loss_D: -0.019707 Loss_G: 0.010593 Loss_D_real: -0.023638 Loss_D_fake -0.003932
[1347/5000][235/535][138992] Loss_D: -0.018817 Loss_G: -0.009490 Loss_D_real: -0.008241 Loss_D_fake 0.010576
[1347/5000][240/535][138993] Loss_D: -0.018756 Loss_G: 0.028599 Loss_D_real: -0.030444 Loss_D_fake -0.011688
[1347/5000][245/535][138994] Loss_D: -0.020532 Loss_G: -0.002835 Loss_D_real: -0.016652 Loss_D_fake 0.003879
[1347/5000][250/535][138995] Loss_D: -0.020808 Loss_G: 0.005874 Loss_D_real: -0.015994 Loss_D_fake 0.004814
[1347/5000][255/535][138996] Loss_D: -0.021395 Loss_G: 0.014562 Loss_D_real: -0.031150 Loss_D_fake -0.009756
[1347/5000][260/535][138997] Loss_D: -0.020715 Loss_G: 0.006181 Loss_D_real: -0.025050 Loss_D_fake -0.004335
[1347/5000][265/535][138998] Loss_D: -0.019185 Loss_G: 0.008931 Loss_D_real: -0.015646 Loss_D_fake 0.003539
[1347/5000][270/535][138999] Loss_D: -0.019362 Loss_G: 0.018543 Loss_D_real: -0.014982 Loss_D_fake 0.004380
[1347/5000][275/535][139000] Loss_D: -0.020538 Loss_G: 0.014645 Loss_D_real: -0.013943 Loss_D_fake 0.006595
[1347/5000][375/535][139001] Loss_D: -0.022101 Loss_G: -0.015740 Loss_D_real: -0.005728 Loss_D_fake 0.016373
[1347/5000][380/535][139002] Loss_D: -0.019519 Loss_G: 0.011221 Loss_D_real: -0.018091 Loss_D_fake 0.001429
[1347/5000][385/535][139003] Loss_D: -0.018100 Loss_G: 0.005312 Loss_D_real: -0.002789 Loss_D_fake 0.015311
[1347/5000][390/535][139004] Loss_D: -0.019324 Loss_G: 0.017293 Loss_D_real: -0.022067 Loss_D_fake -0.002743
[1347/5000][395/535][139005] Loss_D: -0.018877 Loss_G: 0.017651 Loss_D_real: -0.017043 Loss_D_fake 0.001834
[1347/5000][400/535][139006] Loss_D: -0.018668 Loss_G: 0.004729 Loss_D_real: -0.017224 Loss_D_fake 0.001444
[1347/5000][405/535][139007] Loss_D: -0.017834 Loss_G: 0.009531 Loss_D_real: -0.018354 Loss_D_fake -0.000521
[1347/5000][410/535][139008] Loss_D: -0.019050 Loss_G: 0.021831 Loss_D_real: -0.015939 Loss_D_fake 0.003111
[1347/5000][415/535][139009] Loss_D: -0.018720 Loss_G: 0.010964 Loss_D_real: -0.006733 Loss_D_fake 0.011987
[1347/5000][420/535][139010] Loss_D: -0.017976 Loss_G: 0.008883 Loss_D_real: -0.008535 Loss_D_fake 0.009441
[1347/5000][425/535][139011] Loss_D: -0.017895 Loss_G: -0.007690 Loss_D_real: 0.003639 Loss_D_fake 0.021534
[1347/5000][430/535][139012] Loss_D: -0.018694 Loss_G: -0.014513 Loss_D_real: -0.000960 Loss_D_fake 0.017734
[1347/5000][435/535][139013] Loss_D: -0.017675 Loss_G: 0.013849 Loss_D_real: -0.017640 Loss_D_fake 0.000035
[1347/5000][440/535][139014] Loss_D: -0.018906 Loss_G: -0.003343 Loss_D_real: -0.012794 Loss_D_fake 0.006112
[1347/5000][445/535][139015] Loss_D: -0.018093 Loss_G: 0.018653 Loss_D_real: -0.022174 Loss_D_fake -0.004082
[1347/5000][450/535][139016] Loss_D: -0.019264 Loss_G: -0.015107 Loss_D_real: -0.000548 Loss_D_fake 0.018716
[1347/5000][455/535][139017] Loss_D: -0.018933 Loss_G: -0.002254 Loss_D_real: 0.003997 Loss_D_fake 0.022930
[1347/5000][460/535][139018] Loss_D: -0.019918 Loss_G: 0.016015 Loss_D_real: -0.021663 Loss_D_fake -0.001745
[1347/5000][465/535][139019] Loss_D: -0.021029 Loss_G: 0.009394 Loss_D_real: 0.000658 Loss_D_fake 0.021687
[1347/5000][470/535][139020] Loss_D: -0.019605 Loss_G: 0.000894 Loss_D_real: -0.018786 Loss_D_fake 0.000820
[1347/5000][475/535][139021] Loss_D: -0.017603 Loss_G: 0.016347 Loss_D_real: -0.029882 Loss_D_fake -0.012279
[1347/5000][480/535][139022] Loss_D: -0.020715 Loss_G: 0.001599 Loss_D_real: -0.003445 Loss_D_fake 0.017270
[1347/5000][485/535][139023] Loss_D: -0.020087 Loss_G: 0.008888 Loss_D_real: -0.010626 Loss_D_fake 0.009461
[1347/5000][490/535][139024] Loss_D: -0.020052 Loss_G: 0.019074 Loss_D_real: -0.013759 Loss_D_fake 0.006293
[1347/5000][495/535][139025] Loss_D: -0.020582 Loss_G: 0.005121 Loss_D_real: -0.015544 Loss_D_fake 0.005038
[1347/5000][500/535][139026] Loss_D: -0.021032 Loss_G: 0.028351 Loss_D_real: -0.021745 Loss_D_fake -0.000713
[1347/5000][505/535][139027] Loss_D: -0.020102 Loss_G: -0.006716 Loss_D_real: -0.005177 Loss_D_fake 0.014925
[1347/5000][510/535][139028] Loss_D: -0.019558 Loss_G: 0.014767 Loss_D_real: -0.016907 Loss_D_fake 0.002652
[1347/5000][515/535][139029] Loss_D: -0.019131 Loss_G: -0.015229 Loss_D_real: 0.006076 Loss_D_fake 0.025207
[1347/5000][520/535][139030] Loss_D: -0.019691 Loss_G: 0.014531 Loss_D_real: -0.021932 Loss_D_fake -0.002242
[1347/5000][525/535][139031] Loss_D: -0.018648 Loss_G: 0.014108 Loss_D_real: -0.022315 Loss_D_fake -0.003667
[1347/5000][530/535][139032] Loss_D: -0.020119 Loss_G: -0.003497 Loss_D_real: -0.016823 Loss_D_fake 0.003296
[1347/5000][535/535][139033] Loss_D: -0.018836 Loss_G: 0.007305 Loss_D_real: -0.012528 Loss_D_fake 0.006308
[1348/5000][5/535][139034] Loss_D: -0.020247 Loss_G: 0.011052 Loss_D_real: -0.016281 Loss_D_fake 0.003966
[1348/5000][10/535][139035] Loss_D: -0.019515 Loss_G: 0.003065 Loss_D_real: -0.010712 Loss_D_fake 0.008803
[1348/5000][15/535][139036] Loss_D: -0.019878 Loss_G: 0.018206 Loss_D_real: -0.015076 Loss_D_fake 0.004802
[1348/5000][20/535][139037] Loss_D: -0.018585 Loss_G: 0.000412 Loss_D_real: -0.014667 Loss_D_fake 0.003918
[1348/5000][25/535][139038] Loss_D: -0.019034 Loss_G: -0.005458 Loss_D_real: -0.014325 Loss_D_fake 0.004709
[1348/5000][30/535][139039] Loss_D: -0.019775 Loss_G: 0.014074 Loss_D_real: -0.009933 Loss_D_fake 0.009842
[1348/5000][35/535][139040] Loss_D: -0.019286 Loss_G: 0.006037 Loss_D_real: -0.015257 Loss_D_fake 0.004029
[1348/5000][40/535][139041] Loss_D: -0.020073 Loss_G: -0.001617 Loss_D_real: -0.002915 Loss_D_fake 0.017158
[1348/5000][45/535][139042] Loss_D: -0.019697 Loss_G: 0.019065 Loss_D_real: -0.012496 Loss_D_fake 0.007201
[1348/5000][50/535][139043] Loss_D: -0.019190 Loss_G: 0.003859 Loss_D_real: -0.005855 Loss_D_fake 0.013335
[1348/5000][55/535][139044] Loss_D: -0.021295 Loss_G: 0.009215 Loss_D_real: -0.011567 Loss_D_fake 0.009728
[1348/5000][60/535][139045] Loss_D: -0.019874 Loss_G: 0.013907 Loss_D_real: -0.026091 Loss_D_fake -0.006217
[1348/5000][65/535][139046] Loss_D: -0.018905 Loss_G: 0.001262 Loss_D_real: -0.023873 Loss_D_fake -0.004969
[1348/5000][70/535][139047] Loss_D: -0.018601 Loss_G: 0.020570 Loss_D_real: -0.028546 Loss_D_fake -0.009945
[1348/5000][75/535][139048] Loss_D: -0.019954 Loss_G: -0.002835 Loss_D_real: -0.014087 Loss_D_fake 0.005867
[1348/5000][80/535][139049] Loss_D: -0.019505 Loss_G: -0.003905 Loss_D_real: -0.009410 Loss_D_fake 0.010095
[1348/5000][85/535][139050] Loss_D: -0.020086 Loss_G: 0.023576 Loss_D_real: -0.016067 Loss_D_fake 0.004019
[1348/5000][90/535][139051] Loss_D: -0.018284 Loss_G: 0.025180 Loss_D_real: -0.015370 Loss_D_fake 0.002914
[1348/5000][95/535][139052] Loss_D: -0.020494 Loss_G: -0.002152 Loss_D_real: -0.002676 Loss_D_fake 0.017818
[1348/5000][100/535][139053] Loss_D: -0.019799 Loss_G: 0.022993 Loss_D_real: -0.019272 Loss_D_fake 0.000527
[1348/5000][105/535][139054] Loss_D: -0.021011 Loss_G: 0.027838 Loss_D_real: -0.025205 Loss_D_fake -0.004194
[1348/5000][110/535][139055] Loss_D: -0.019642 Loss_G: 0.010325 Loss_D_real: -0.009598 Loss_D_fake 0.010044
[1348/5000][115/535][139056] Loss_D: -0.020122 Loss_G: 0.007117 Loss_D_real: -0.012443 Loss_D_fake 0.007679
[1348/5000][120/535][139057] Loss_D: -0.020263 Loss_G: -0.001170 Loss_D_real: -0.020396 Loss_D_fake -0.000133
[1348/5000][125/535][139058] Loss_D: -0.019473 Loss_G: 0.003122 Loss_D_real: -0.009822 Loss_D_fake 0.009652
[1348/5000][130/535][139059] Loss_D: -0.019870 Loss_G: 0.002497 Loss_D_real: -0.017369 Loss_D_fake 0.002501
[1348/5000][135/535][139060] Loss_D: -0.019664 Loss_G: 0.008045 Loss_D_real: -0.025894 Loss_D_fake -0.006230
[1348/5000][140/535][139061] Loss_D: -0.019733 Loss_G: -0.011149 Loss_D_real: -0.001070 Loss_D_fake 0.018663
[1348/5000][145/535][139062] Loss_D: -0.018056 Loss_G: 0.027857 Loss_D_real: -0.023906 Loss_D_fake -0.005850
[1348/5000][150/535][139063] Loss_D: -0.019639 Loss_G: 0.016189 Loss_D_real: -0.024543 Loss_D_fake -0.004904
[1348/5000][155/535][139064] Loss_D: -0.020082 Loss_G: 0.006983 Loss_D_real: -0.013488 Loss_D_fake 0.006593
[1348/5000][160/535][139065] Loss_D: -0.020465 Loss_G: 0.005813 Loss_D_real: -0.021492 Loss_D_fake -0.001028
[1348/5000][165/535][139066] Loss_D: -0.020892 Loss_G: 0.003626 Loss_D_real: -0.007130 Loss_D_fake 0.013762
[1348/5000][170/535][139067] Loss_D: -0.019060 Loss_G: 0.001354 Loss_D_real: 0.000781 Loss_D_fake 0.019841
[1348/5000][175/535][139068] Loss_D: -0.018859 Loss_G: 0.008943 Loss_D_real: -0.010965 Loss_D_fake 0.007894
[1348/5000][180/535][139069] Loss_D: -0.020225 Loss_G: 0.022085 Loss_D_real: -0.017223 Loss_D_fake 0.003002
[1348/5000][185/535][139070] Loss_D: -0.020096 Loss_G: 0.010587 Loss_D_real: -0.017190 Loss_D_fake 0.002906
[1348/5000][190/535][139071] Loss_D: -0.019214 Loss_G: 0.019781 Loss_D_real: -0.012500 Loss_D_fake 0.006715
[1348/5000][195/535][139072] Loss_D: -0.019794 Loss_G: 0.013240 Loss_D_real: -0.019840 Loss_D_fake -0.000046
[1348/5000][200/535][139073] Loss_D: -0.019751 Loss_G: 0.011325 Loss_D_real: -0.021611 Loss_D_fake -0.001860
[1348/5000][205/535][139074] Loss_D: -0.018921 Loss_G: 0.004295 Loss_D_real: 0.000171 Loss_D_fake 0.019092
[1348/5000][210/535][139075] Loss_D: -0.018684 Loss_G: 0.020628 Loss_D_real: -0.010260 Loss_D_fake 0.008424
[1348/5000][215/535][139076] Loss_D: -0.019814 Loss_G: 0.009976 Loss_D_real: -0.007646 Loss_D_fake 0.012168
[1348/5000][220/535][139077] Loss_D: -0.019664 Loss_G: 0.019466 Loss_D_real: -0.025230 Loss_D_fake -0.005566
[1348/5000][225/535][139078] Loss_D: -0.019517 Loss_G: 0.006640 Loss_D_real: -0.008435 Loss_D_fake 0.011082
[1348/5000][230/535][139079] Loss_D: -0.018744 Loss_G: 0.003864 Loss_D_real: -0.015354 Loss_D_fake 0.003390
[1348/5000][235/535][139080] Loss_D: -0.018336 Loss_G: 0.011072 Loss_D_real: -0.020569 Loss_D_fake -0.002233
[1348/5000][240/535][139081] Loss_D: -0.019729 Loss_G: 0.030331 Loss_D_real: -0.025208 Loss_D_fake -0.005479
[1348/5000][245/535][139082] Loss_D: -0.019070 Loss_G: 0.020803 Loss_D_real: -0.025780 Loss_D_fake -0.006711
[1348/5000][250/535][139083] Loss_D: -0.020072 Loss_G: 0.021322 Loss_D_real: -0.019321 Loss_D_fake 0.000751
[1348/5000][255/535][139084] Loss_D: -0.019261 Loss_G: 0.024737 Loss_D_real: -0.035295 Loss_D_fake -0.016034
[1348/5000][260/535][139085] Loss_D: -0.019989 Loss_G: -0.014011 Loss_D_real: -0.005720 Loss_D_fake 0.014268
[1348/5000][265/535][139086] Loss_D: -0.018041 Loss_G: 0.000086 Loss_D_real: -0.003304 Loss_D_fake 0.014737
[1348/5000][270/535][139087] Loss_D: -0.018571 Loss_G: -0.007274 Loss_D_real: 0.002080 Loss_D_fake 0.020651
[1348/5000][275/535][139088] Loss_D: -0.019459 Loss_G: 0.016342 Loss_D_real: -0.018702 Loss_D_fake 0.000756
[1348/5000][280/535][139089] Loss_D: -0.019902 Loss_G: 0.015132 Loss_D_real: -0.009789 Loss_D_fake 0.010113
[1348/5000][285/535][139090] Loss_D: -0.018432 Loss_G: 0.000135 Loss_D_real: -0.004114 Loss_D_fake 0.014319
[1348/5000][290/535][139091] Loss_D: -0.018346 Loss_G: 0.019252 Loss_D_real: -0.028593 Loss_D_fake -0.010247
[1348/5000][295/535][139092] Loss_D: -0.019708 Loss_G: -0.008140 Loss_D_real: 0.007133 Loss_D_fake 0.026840
[1348/5000][300/535][139093] Loss_D: -0.020187 Loss_G: -0.001060 Loss_D_real: -0.012799 Loss_D_fake 0.007388
[1348/5000][305/535][139094] Loss_D: -0.019071 Loss_G: -0.005869 Loss_D_real: 0.003670 Loss_D_fake 0.022741
[1348/5000][310/535][139095] Loss_D: -0.018980 Loss_G: 0.011835 Loss_D_real: -0.011606 Loss_D_fake 0.007374
[1348/5000][315/535][139096] Loss_D: -0.020183 Loss_G: 0.014974 Loss_D_real: -0.014909 Loss_D_fake 0.005274
[1348/5000][320/535][139097] Loss_D: -0.019608 Loss_G: -0.008279 Loss_D_real: 0.005199 Loss_D_fake 0.024807
[1348/5000][325/535][139098] Loss_D: -0.021423 Loss_G: 0.013479 Loss_D_real: -0.011036 Loss_D_fake 0.010387
[1348/5000][330/535][139099] Loss_D: -0.020717 Loss_G: -0.001491 Loss_D_real: -0.011337 Loss_D_fake 0.009379
[1348/5000][335/535][139100] Loss_D: -0.018380 Loss_G: 0.021693 Loss_D_real: -0.027474 Loss_D_fake -0.009094
[1348/5000][340/535][139101] Loss_D: -0.019451 Loss_G: 0.001826 Loss_D_real: -0.010514 Loss_D_fake 0.008937
[1348/5000][345/535][139102] Loss_D: -0.020251 Loss_G: 0.005197 Loss_D_real: -0.026738 Loss_D_fake -0.006487
[1348/5000][350/535][139103] Loss_D: -0.019084 Loss_G: 0.000833 Loss_D_real: -0.008688 Loss_D_fake 0.010396
[1348/5000][355/535][139104] Loss_D: -0.019837 Loss_G: 0.015010 Loss_D_real: -0.009341 Loss_D_fake 0.010496
[1348/5000][360/535][139105] Loss_D: -0.020882 Loss_G: -0.003949 Loss_D_real: -0.001210 Loss_D_fake 0.019672
[1348/5000][365/535][139106] Loss_D: -0.020248 Loss_G: 0.020834 Loss_D_real: -0.021044 Loss_D_fake -0.000796
[1348/5000][370/535][139107] Loss_D: -0.020602 Loss_G: 0.003247 Loss_D_real: -0.011242 Loss_D_fake 0.009360
[1348/5000][375/535][139108] Loss_D: -0.018916 Loss_G: 0.017470 Loss_D_real: -0.003145 Loss_D_fake 0.015771
[1348/5000][380/535][139109] Loss_D: -0.019407 Loss_G: 0.019435 Loss_D_real: -0.025543 Loss_D_fake -0.006136
[1348/5000][385/535][139110] Loss_D: -0.019162 Loss_G: 0.022971 Loss_D_real: -0.019633 Loss_D_fake -0.000471
[1348/5000][390/535][139111] Loss_D: -0.018892 Loss_G: 0.018342 Loss_D_real: -0.017873 Loss_D_fake 0.001018
[1348/5000][395/535][139112] Loss_D: -0.019616 Loss_G: 0.000276 Loss_D_real: -0.015681 Loss_D_fake 0.003935
[1348/5000][400/535][139113] Loss_D: -0.020565 Loss_G: 0.005145 Loss_D_real: -0.011484 Loss_D_fake 0.009081
[1348/5000][405/535][139114] Loss_D: -0.018080 Loss_G: 0.020735 Loss_D_real: -0.020652 Loss_D_fake -0.002571
[1348/5000][410/535][139115] Loss_D: -0.018905 Loss_G: -0.002980 Loss_D_real: 0.002990 Loss_D_fake 0.021895
[1348/5000][415/535][139116] Loss_D: -0.018797 Loss_G: 0.011107 Loss_D_real: -0.020556 Loss_D_fake -0.001759
[1348/5000][420/535][139117] Loss_D: -0.019595 Loss_G: -0.016683 Loss_D_real: 0.000460 Loss_D_fake 0.020055
[1348/5000][425/535][139118] Loss_D: -0.020000 Loss_G: 0.021778 Loss_D_real: -0.019902 Loss_D_fake 0.000098
[1348/5000][430/535][139119] Loss_D: -0.020287 Loss_G: -0.004697 Loss_D_real: -0.003642 Loss_D_fake 0.016645
[1348/5000][435/535][139120] Loss_D: -0.019773 Loss_G: 0.004293 Loss_D_real: -0.004341 Loss_D_fake 0.015433
[1348/5000][440/535][139121] Loss_D: -0.020240 Loss_G: 0.010290 Loss_D_real: -0.019183 Loss_D_fake 0.001058
[1348/5000][445/535][139122] Loss_D: -0.020544 Loss_G: 0.018311 Loss_D_real: -0.022122 Loss_D_fake -0.001578
[1348/5000][450/535][139123] Loss_D: -0.019595 Loss_G: 0.009259 Loss_D_real: -0.015411 Loss_D_fake 0.004184
[1348/5000][455/535][139124] Loss_D: -0.019123 Loss_G: 0.017138 Loss_D_real: -0.018066 Loss_D_fake 0.001057
[1348/5000][460/535][139125] Loss_D: -0.018911 Loss_G: 0.010603 Loss_D_real: -0.015104 Loss_D_fake 0.003806
[1348/5000][465/535][139126] Loss_D: -0.019246 Loss_G: 0.001589 Loss_D_real: -0.024469 Loss_D_fake -0.005223
[1348/5000][470/535][139127] Loss_D: -0.018494 Loss_G: -0.010928 Loss_D_real: 0.006175 Loss_D_fake 0.024669
[1348/5000][475/535][139128] Loss_D: -0.020563 Loss_G: 0.016864 Loss_D_real: -0.017880 Loss_D_fake 0.002683
[1348/5000][480/535][139129] Loss_D: -0.018521 Loss_G: 0.008337 Loss_D_real: -0.017477 Loss_D_fake 0.001044
[1348/5000][485/535][139130] Loss_D: -0.022083 Loss_G: 0.004832 Loss_D_real: -0.019111 Loss_D_fake 0.002972
[1348/5000][490/535][139131] Loss_D: -0.019787 Loss_G: 0.015422 Loss_D_real: -0.022399 Loss_D_fake -0.002612
[1348/5000][495/535][139132] Loss_D: -0.018716 Loss_G: -0.017216 Loss_D_real: -0.007172 Loss_D_fake 0.011544
[1348/5000][500/535][139133] Loss_D: -0.018654 Loss_G: 0.025548 Loss_D_real: -0.024371 Loss_D_fake -0.005717
[1348/5000][505/535][139134] Loss_D: -0.018827 Loss_G: 0.019434 Loss_D_real: -0.019596 Loss_D_fake -0.000769
[1348/5000][510/535][139135] Loss_D: -0.019377 Loss_G: 0.006395 Loss_D_real: -0.020904 Loss_D_fake -0.001527
[1348/5000][515/535][139136] Loss_D: -0.020936 Loss_G: 0.016047 Loss_D_real: -0.013174 Loss_D_fake 0.007763
[1348/5000][520/535][139137] Loss_D: -0.019567 Loss_G: 0.020230 Loss_D_real: -0.020830 Loss_D_fake -0.001262
[1348/5000][525/535][139138] Loss_D: -0.020294 Loss_G: 0.016980 Loss_D_real: -0.015252 Loss_D_fake 0.005042
[1348/5000][530/535][139139] Loss_D: -0.019555 Loss_G: 0.017677 Loss_D_real: -0.028006 Loss_D_fake -0.008451
[1348/5000][535/535][139140] Loss_D: -0.019790 Loss_G: -0.010480 Loss_D_real: -0.012637 Loss_D_fake 0.007152
[1349/5000][5/535][139141] Loss_D: -0.020681 Loss_G: -0.002162 Loss_D_real: -0.008999 Loss_D_fake 0.011682
[1349/5000][10/535][139142] Loss_D: -0.017950 Loss_G: -0.020976 Loss_D_real: -0.013341 Loss_D_fake 0.004609
[1349/5000][15/535][139143] Loss_D: -0.018710 Loss_G: 0.003874 Loss_D_real: -0.010657 Loss_D_fake 0.008053
[1349/5000][20/535][139144] Loss_D: -0.019574 Loss_G: 0.013526 Loss_D_real: -0.013579 Loss_D_fake 0.005995
[1349/5000][25/535][139145] Loss_D: -0.019193 Loss_G: 0.015590 Loss_D_real: -0.023953 Loss_D_fake -0.004760
[1349/5000][30/535][139146] Loss_D: -0.020327 Loss_G: 0.003241 Loss_D_real: -0.002482 Loss_D_fake 0.017845
[1349/5000][35/535][139147] Loss_D: -0.019245 Loss_G: 0.009244 Loss_D_real: -0.006766 Loss_D_fake 0.012479
[1349/5000][40/535][139148] Loss_D: -0.019119 Loss_G: -0.005227 Loss_D_real: -0.002886 Loss_D_fake 0.016232
[1349/5000][45/535][139149] Loss_D: -0.018939 Loss_G: 0.002640 Loss_D_real: -0.009809 Loss_D_fake 0.009129
[1349/5000][50/535][139150] Loss_D: -0.019643 Loss_G: -0.013513 Loss_D_real: -0.008993 Loss_D_fake 0.010650
[1349/5000][55/535][139151] Loss_D: -0.019578 Loss_G: 0.011429 Loss_D_real: -0.012753 Loss_D_fake 0.006825
[1349/5000][60/535][139152] Loss_D: -0.018632 Loss_G: -0.012148 Loss_D_real: 0.001609 Loss_D_fake 0.020241
[1349/5000][65/535][139153] Loss_D: -0.019844 Loss_G: 0.017713 Loss_D_real: -0.021456 Loss_D_fake -0.001612
[1349/5000][70/535][139154] Loss_D: -0.018873 Loss_G: 0.019254 Loss_D_real: -0.029031 Loss_D_fake -0.010158
[1349/5000][75/535][139155] Loss_D: -0.020924 Loss_G: 0.013143 Loss_D_real: -0.006094 Loss_D_fake 0.014830
[1349/5000][80/535][139156] Loss_D: -0.019304 Loss_G: -0.003177 Loss_D_real: -0.004351 Loss_D_fake 0.014953
[1349/5000][85/535][139157] Loss_D: -0.019490 Loss_G: 0.006398 Loss_D_real: 0.001913 Loss_D_fake 0.021402
[1349/5000][90/535][139158] Loss_D: -0.019855 Loss_G: 0.011708 Loss_D_real: -0.010758 Loss_D_fake 0.009097
[1349/5000][95/535][139159] Loss_D: -0.019129 Loss_G: 0.018554 Loss_D_real: -0.026521 Loss_D_fake -0.007393
[1349/5000][100/535][139160] Loss_D: -0.019471 Loss_G: 0.001186 Loss_D_real: -0.004581 Loss_D_fake 0.014890
[1349/5000][105/535][139161] Loss_D: -0.018481 Loss_G: 0.014024 Loss_D_real: -0.032416 Loss_D_fake -0.013934
[1349/5000][110/535][139162] Loss_D: -0.019851 Loss_G: 0.022469 Loss_D_real: -0.015477 Loss_D_fake 0.004374
[1349/5000][115/535][139163] Loss_D: -0.020164 Loss_G: 0.013927 Loss_D_real: -0.020150 Loss_D_fake 0.000013
[1349/5000][120/535][139164] Loss_D: -0.020458 Loss_G: 0.013100 Loss_D_real: -0.010933 Loss_D_fake 0.009525
[1349/5000][125/535][139165] Loss_D: -0.018547 Loss_G: 0.016409 Loss_D_real: -0.012338 Loss_D_fake 0.006209
[1349/5000][130/535][139166] Loss_D: -0.020536 Loss_G: 0.020822 Loss_D_real: -0.020187 Loss_D_fake 0.000349
[1349/5000][135/535][139167] Loss_D: -0.020648 Loss_G: 0.026979 Loss_D_real: -0.020413 Loss_D_fake 0.000235
[1349/5000][140/535][139168] Loss_D: -0.020221 Loss_G: -0.006214 Loss_D_real: -0.011088 Loss_D_fake 0.009133
[1349/5000][145/535][139169] Loss_D: -0.020062 Loss_G: 0.009774 Loss_D_real: -0.021872 Loss_D_fake -0.001810
[1349/5000][150/535][139170] Loss_D: -0.018916 Loss_G: 0.028129 Loss_D_real: -0.020089 Loss_D_fake -0.001172
[1349/5000][155/535][139171] Loss_D: -0.020568 Loss_G: 0.014886 Loss_D_real: -0.019442 Loss_D_fake 0.001126
[1349/5000][160/535][139172] Loss_D: -0.019882 Loss_G: 0.003762 Loss_D_real: -0.018845 Loss_D_fake 0.001037
[1349/5000][165/535][139173] Loss_D: -0.019516 Loss_G: 0.015874 Loss_D_real: -0.012942 Loss_D_fake 0.006575
[1349/5000][170/535][139174] Loss_D: -0.019964 Loss_G: 0.013283 Loss_D_real: -0.011199 Loss_D_fake 0.008765
[1349/5000][175/535][139175] Loss_D: -0.020634 Loss_G: 0.009597 Loss_D_real: -0.012560 Loss_D_fake 0.008074
[1349/5000][180/535][139176] Loss_D: -0.019487 Loss_G: 0.016177 Loss_D_real: -0.010749 Loss_D_fake 0.008739
[1349/5000][185/535][139177] Loss_D: -0.019496 Loss_G: -0.005059 Loss_D_real: -0.002022 Loss_D_fake 0.017474
[1349/5000][190/535][139178] Loss_D: -0.019116 Loss_G: 0.008361 Loss_D_real: -0.012896 Loss_D_fake 0.006219
[1349/5000][195/535][139179] Loss_D: -0.020394 Loss_G: 0.009433 Loss_D_real: -0.030537 Loss_D_fake -0.010143
[1349/5000][200/535][139180] Loss_D: -0.020491 Loss_G: 0.012010 Loss_D_real: -0.008612 Loss_D_fake 0.011880
[1349/5000][205/535][139181] Loss_D: -0.019377 Loss_G: -0.000604 Loss_D_real: -0.016001 Loss_D_fake 0.003376
[1349/5000][210/535][139182] Loss_D: -0.020067 Loss_G: 0.011113 Loss_D_real: -0.015864 Loss_D_fake 0.004203
[1349/5000][215/535][139183] Loss_D: -0.020178 Loss_G: -0.001756 Loss_D_real: -0.000948 Loss_D_fake 0.019229
[1349/5000][220/535][139184] Loss_D: -0.018557 Loss_G: -0.014570 Loss_D_real: -0.002659 Loss_D_fake 0.015898
[1349/5000][225/535][139185] Loss_D: -0.019105 Loss_G: 0.017557 Loss_D_real: -0.024340 Loss_D_fake -0.005235
[1349/5000][230/535][139186] Loss_D: -0.020901 Loss_G: 0.022535 Loss_D_real: -0.014691 Loss_D_fake 0.006209
[1349/5000][235/535][139187] Loss_D: -0.019715 Loss_G: 0.005517 Loss_D_real: -0.003750 Loss_D_fake 0.015965
[1349/5000][240/535][139188] Loss_D: -0.018849 Loss_G: -0.003130 Loss_D_real: -0.015549 Loss_D_fake 0.003300
[1349/5000][245/535][139189] Loss_D: -0.018632 Loss_G: -0.001038 Loss_D_real: 0.002535 Loss_D_fake 0.021168
[1349/5000][250/535][139190] Loss_D: -0.019282 Loss_G: -0.002858 Loss_D_real: -0.015971 Loss_D_fake 0.003311
[1349/5000][255/535][139191] Loss_D: -0.019495 Loss_G: 0.010300 Loss_D_real: -0.014576 Loss_D_fake 0.004920
[1349/5000][260/535][139192] Loss_D: -0.021618 Loss_G: -0.008013 Loss_D_real: -0.008870 Loss_D_fake 0.012748
[1349/5000][265/535][139193] Loss_D: -0.019775 Loss_G: -0.006598 Loss_D_real: -0.007015 Loss_D_fake 0.012761
[1349/5000][270/535][139194] Loss_D: -0.020930 Loss_G: 0.024651 Loss_D_real: -0.012631 Loss_D_fake 0.008299
[1349/5000][275/535][139195] Loss_D: -0.020440 Loss_G: 0.004445 Loss_D_real: -0.009560 Loss_D_fake 0.010880
[1349/5000][280/535][139196] Loss_D: -0.019557 Loss_G: 0.012514 Loss_D_real: -0.021059 Loss_D_fake -0.001502
[1349/5000][285/535][139197] Loss_D: -0.021865 Loss_G: 0.023963 Loss_D_real: -0.014503 Loss_D_fake 0.007362
[1349/5000][290/535][139198] Loss_D: -0.019842 Loss_G: 0.001116 Loss_D_real: -0.010898 Loss_D_fake 0.008944
[1349/5000][295/535][139199] Loss_D: -0.019925 Loss_G: -0.002619 Loss_D_real: -0.001796 Loss_D_fake 0.018129
[1349/5000][300/535][139200] Loss_D: -0.020007 Loss_G: 0.005073 Loss_D_real: -0.020051 Loss_D_fake -0.000045
[1349/5000][305/535][139201] Loss_D: -0.020288 Loss_G: -0.000775 Loss_D_real: -0.023107 Loss_D_fake -0.002819
[1349/5000][310/535][139202] Loss_D: -0.020181 Loss_G: 0.019247 Loss_D_real: -0.024002 Loss_D_fake -0.003821
[1349/5000][315/535][139203] Loss_D: -0.019680 Loss_G: 0.019153 Loss_D_real: -0.016016 Loss_D_fake 0.003664
[1349/5000][320/535][139204] Loss_D: -0.020071 Loss_G: 0.017645 Loss_D_real: -0.017688 Loss_D_fake 0.002383
[1349/5000][325/535][139205] Loss_D: -0.018915 Loss_G: -0.000476 Loss_D_real: -0.011595 Loss_D_fake 0.007320
[1349/5000][330/535][139206] Loss_D: -0.019735 Loss_G: 0.027184 Loss_D_real: -0.014476 Loss_D_fake 0.005259
[1349/5000][335/535][139207] Loss_D: -0.018484 Loss_G: -0.006390 Loss_D_real: 0.004800 Loss_D_fake 0.023284
[1349/5000][340/535][139208] Loss_D: -0.020021 Loss_G: 0.019470 Loss_D_real: -0.020781 Loss_D_fake -0.000760
[1349/5000][345/535][139209] Loss_D: -0.019387 Loss_G: -0.000656 Loss_D_real: -0.007585 Loss_D_fake 0.011801
[1349/5000][350/535][139210] Loss_D: -0.019636 Loss_G: 0.001778 Loss_D_real: -0.022750 Loss_D_fake -0.003115
[1349/5000][355/535][139211] Loss_D: -0.018854 Loss_G: 0.005734 Loss_D_real: -0.020105 Loss_D_fake -0.001251
[1349/5000][360/535][139212] Loss_D: -0.019099 Loss_G: -0.006737 Loss_D_real: -0.006500 Loss_D_fake 0.012599
[1349/5000][365/535][139213] Loss_D: -0.020406 Loss_G: 0.009983 Loss_D_real: -0.005743 Loss_D_fake 0.014662
[1349/5000][370/535][139214] Loss_D: -0.019746 Loss_G: 0.000435 Loss_D_real: -0.007438 Loss_D_fake 0.012308
[1349/5000][375/535][139215] Loss_D: -0.020071 Loss_G: 0.019283 Loss_D_real: -0.023242 Loss_D_fake -0.003171
[1349/5000][380/535][139216] Loss_D: -0.020402 Loss_G: 0.023531 Loss_D_real: -0.014731 Loss_D_fake 0.005671
[1349/5000][385/535][139217] Loss_D: -0.019015 Loss_G: 0.023256 Loss_D_real: -0.029917 Loss_D_fake -0.010901
[1349/5000][390/535][139218] Loss_D: -0.019855 Loss_G: 0.007194 Loss_D_real: -0.024688 Loss_D_fake -0.004833
[1349/5000][395/535][139219] Loss_D: -0.018590 Loss_G: 0.009843 Loss_D_real: -0.018131 Loss_D_fake 0.000460
[1349/5000][400/535][139220] Loss_D: -0.018743 Loss_G: 0.004411 Loss_D_real: -0.008020 Loss_D_fake 0.010722
[1349/5000][405/535][139221] Loss_D: -0.019665 Loss_G: 0.008169 Loss_D_real: -0.017524 Loss_D_fake 0.002141
[1349/5000][410/535][139222] Loss_D: -0.019704 Loss_G: 0.028982 Loss_D_real: -0.029114 Loss_D_fake -0.009410
[1349/5000][415/535][139223] Loss_D: -0.019060 Loss_G: 0.007423 Loss_D_real: -0.011500 Loss_D_fake 0.007560
[1349/5000][420/535][139224] Loss_D: -0.018845 Loss_G: 0.010967 Loss_D_real: -0.016326 Loss_D_fake 0.002519
[1349/5000][425/535][139225] Loss_D: -0.020689 Loss_G: 0.000349 Loss_D_real: -0.012301 Loss_D_fake 0.008388
[1349/5000][430/535][139226] Loss_D: -0.019133 Loss_G: -0.003529 Loss_D_real: -0.001916 Loss_D_fake 0.017217
[1349/5000][435/535][139227] Loss_D: -0.019217 Loss_G: 0.006497 Loss_D_real: -0.007289 Loss_D_fake 0.011928
[1349/5000][440/535][139228] Loss_D: -0.019533 Loss_G: 0.014547 Loss_D_real: -0.021786 Loss_D_fake -0.002253
[1349/5000][445/535][139229] Loss_D: -0.019902 Loss_G: 0.011842 Loss_D_real: -0.014616 Loss_D_fake 0.005286
[1349/5000][450/535][139230] Loss_D: -0.019968 Loss_G: 0.018498 Loss_D_real: -0.018086 Loss_D_fake 0.001882
[1349/5000][455/535][139231] Loss_D: -0.019047 Loss_G: -0.025263 Loss_D_real: 0.007944 Loss_D_fake 0.026991
[1349/5000][460/535][139232] Loss_D: -0.020472 Loss_G: 0.008722 Loss_D_real: -0.006265 Loss_D_fake 0.014207
[1349/5000][465/535][139233] Loss_D: -0.021287 Loss_G: -0.000059 Loss_D_real: 0.003103 Loss_D_fake 0.024390
[1349/5000][470/535][139234] Loss_D: -0.019032 Loss_G: 0.023575 Loss_D_real: -0.032083 Loss_D_fake -0.013051
[1349/5000][475/535][139235] Loss_D: -0.019718 Loss_G: 0.003761 Loss_D_real: -0.006968 Loss_D_fake 0.012750
[1349/5000][480/535][139236] Loss_D: -0.019399 Loss_G: 0.003268 Loss_D_real: -0.006066 Loss_D_fake 0.013333
[1349/5000][485/535][139237] Loss_D: -0.018709 Loss_G: 0.001714 Loss_D_real: -0.009056 Loss_D_fake 0.009654
[1349/5000][490/535][139238] Loss_D: -0.019083 Loss_G: 0.013642 Loss_D_real: -0.012693 Loss_D_fake 0.006390
[1349/5000][495/535][139239] Loss_D: -0.016906 Loss_G: -0.012694 Loss_D_real: 0.006400 Loss_D_fake 0.023306
[1349/5000][500/535][139240] Loss_D: -0.019004 Loss_G: 0.010407 Loss_D_real: -0.025760 Loss_D_fake -0.006756
[1349/5000][505/535][139241] Loss_D: -0.020272 Loss_G: 0.004064 Loss_D_real: -0.008029 Loss_D_fake 0.012242
[1349/5000][510/535][139242] Loss_D: -0.020416 Loss_G: 0.018873 Loss_D_real: -0.020975 Loss_D_fake -0.000559
[1349/5000][515/535][139243] Loss_D: -0.019701 Loss_G: -0.004251 Loss_D_real: -0.021274 Loss_D_fake -0.001572
[1349/5000][520/535][139244] Loss_D: -0.020032 Loss_G: 0.003986 Loss_D_real: -0.007120 Loss_D_fake 0.012912
[1349/5000][525/535][139245] Loss_D: -0.020326 Loss_G: 0.007184 Loss_D_real: -0.026052 Loss_D_fake -0.005726
[1349/5000][530/535][139246] Loss_D: -0.020541 Loss_G: 0.029798 Loss_D_real: -0.016347 Loss_D_fake 0.004195
[1349/5000][535/535][139247] Loss_D: -0.016747 Loss_G: 0.034203 Loss_D_real: -0.021301 Loss_D_fake -0.004555
[1350/5000][5/535][139248] Loss_D: -0.020128 Loss_G: 0.010871 Loss_D_real: -0.018127 Loss_D_fake 0.002002
[1350/5000][10/535][139249] Loss_D: -0.018786 Loss_G: 0.007582 Loss_D_real: -0.021556 Loss_D_fake -0.002770
[1350/5000][15/535][139250] Loss_D: -0.020147 Loss_G: -0.014892 Loss_D_real: -0.003620 Loss_D_fake 0.016526
[1350/5000][20/535][139251] Loss_D: -0.019510 Loss_G: 0.005862 Loss_D_real: -0.013801 Loss_D_fake 0.005709
[1350/5000][25/535][139252] Loss_D: -0.019697 Loss_G: 0.015664 Loss_D_real: -0.014873 Loss_D_fake 0.004823
[1350/5000][30/535][139253] Loss_D: -0.019330 Loss_G: -0.000479 Loss_D_real: -0.001121 Loss_D_fake 0.018209
[1350/5000][35/535][139254] Loss_D: -0.019719 Loss_G: 0.018278 Loss_D_real: -0.025690 Loss_D_fake -0.005971
[1350/5000][40/535][139255] Loss_D: -0.020958 Loss_G: 0.005543 Loss_D_real: 0.001926 Loss_D_fake 0.022884
[1350/5000][45/535][139256] Loss_D: -0.018925 Loss_G: 0.005601 Loss_D_real: -0.008408 Loss_D_fake 0.010517
[1350/5000][50/535][139257] Loss_D: -0.018208 Loss_G: 0.016374 Loss_D_real: -0.025855 Loss_D_fake -0.007648
[1350/5000][55/535][139258] Loss_D: -0.018713 Loss_G: 0.024422 Loss_D_real: -0.026730 Loss_D_fake -0.008018
[1350/5000][60/535][139259] Loss_D: -0.018782 Loss_G: 0.028732 Loss_D_real: -0.029118 Loss_D_fake -0.010336
[1350/5000][65/535][139260] Loss_D: -0.020367 Loss_G: 0.018224 Loss_D_real: -0.017708 Loss_D_fake 0.002659
[1350/5000][70/535][139261] Loss_D: -0.018823 Loss_G: 0.020650 Loss_D_real: -0.019381 Loss_D_fake -0.000558
[1350/5000][75/535][139262] Loss_D: -0.020521 Loss_G: -0.006846 Loss_D_real: -0.011355 Loss_D_fake 0.009167
[1350/5000][80/535][139263] Loss_D: -0.019732 Loss_G: 0.007331 Loss_D_real: -0.024189 Loss_D_fake -0.004457
[1350/5000][85/535][139264] Loss_D: -0.020360 Loss_G: 0.005569 Loss_D_real: -0.010633 Loss_D_fake 0.009727
[1350/5000][90/535][139265] Loss_D: -0.020528 Loss_G: 0.022207 Loss_D_real: -0.027638 Loss_D_fake -0.007110
[1350/5000][95/535][139266] Loss_D: -0.020800 Loss_G: 0.004919 Loss_D_real: -0.017052 Loss_D_fake 0.003748
[1350/5000][100/535][139267] Loss_D: -0.020226 Loss_G: 0.004756 Loss_D_real: -0.003956 Loss_D_fake 0.016270
[1350/5000][105/535][139268] Loss_D: -0.019938 Loss_G: 0.001688 Loss_D_real: -0.010503 Loss_D_fake 0.009434
[1350/5000][110/535][139269] Loss_D: -0.020730 Loss_G: 0.004936 Loss_D_real: -0.015543 Loss_D_fake 0.005187
[1350/5000][115/535][139270] Loss_D: -0.018810 Loss_G: 0.026481 Loss_D_real: -0.020898 Loss_D_fake -0.002088
[1350/5000][120/535][139271] Loss_D: -0.019950 Loss_G: 0.004902 Loss_D_real: -0.019062 Loss_D_fake 0.000888
[1350/5000][125/535][139272] Loss_D: -0.019076 Loss_G: 0.019959 Loss_D_real: -0.023453 Loss_D_fake -0.004377
[1350/5000][130/535][139273] Loss_D: -0.018979 Loss_G: -0.001132 Loss_D_real: -0.002065 Loss_D_fake 0.016914
[1350/5000][135/535][139274] Loss_D: -0.020148 Loss_G: 0.005357 Loss_D_real: -0.002509 Loss_D_fake 0.017639
[1350/5000][140/535][139275] Loss_D: -0.020538 Loss_G: 0.009201 Loss_D_real: -0.001069 Loss_D_fake 0.019469
[1350/5000][145/535][139276] Loss_D: -0.019102 Loss_G: -0.005488 Loss_D_real: 0.007718 Loss_D_fake 0.026821
[1350/5000][150/535][139277] Loss_D: -0.018958 Loss_G: 0.006142 Loss_D_real: -0.002211 Loss_D_fake 0.016747
[1350/5000][155/535][139278] Loss_D: -0.019600 Loss_G: 0.018948 Loss_D_real: -0.007728 Loss_D_fake 0.011872
[1350/5000][160/535][139279] Loss_D: -0.019147 Loss_G: -0.004154 Loss_D_real: -0.000141 Loss_D_fake 0.019006
[1350/5000][165/535][139280] Loss_D: -0.018612 Loss_G: 0.017758 Loss_D_real: -0.025910 Loss_D_fake -0.007298
[1350/5000][170/535][139281] Loss_D: -0.018036 Loss_G: 0.021291 Loss_D_real: -0.027696 Loss_D_fake -0.009660
[1350/5000][175/535][139282] Loss_D: -0.019963 Loss_G: 0.014473 Loss_D_real: -0.021085 Loss_D_fake -0.001123
[1350/5000][180/535][139283] Loss_D: -0.021063 Loss_G: -0.016092 Loss_D_real: -0.006850 Loss_D_fake 0.014213
[1350/5000][185/535][139284] Loss_D: -0.018616 Loss_G: -0.010954 Loss_D_real: -0.003143 Loss_D_fake 0.015473
[1350/5000][190/535][139285] Loss_D: -0.019841 Loss_G: 0.014592 Loss_D_real: -0.021234 Loss_D_fake -0.001393
[1350/5000][195/535][139286] Loss_D: -0.019252 Loss_G: 0.002178 Loss_D_real: -0.006235 Loss_D_fake 0.013017
[1350/5000][200/535][139287] Loss_D: -0.019393 Loss_G: 0.025790 Loss_D_real: -0.020893 Loss_D_fake -0.001499
[1350/5000][205/535][139288] Loss_D: -0.020025 Loss_G: 0.009189 Loss_D_real: -0.023467 Loss_D_fake -0.003443
[1350/5000][210/535][139289] Loss_D: -0.021911 Loss_G: 0.019593 Loss_D_real: -0.020551 Loss_D_fake 0.001360
[1350/5000][215/535][139290] Loss_D: -0.019315 Loss_G: 0.011446 Loss_D_real: -0.018397 Loss_D_fake 0.000918
[1350/5000][220/535][139291] Loss_D: -0.019119 Loss_G: 0.005261 Loss_D_real: -0.026897 Loss_D_fake -0.007777
[1350/5000][225/535][139292] Loss_D: -0.020604 Loss_G: 0.014546 Loss_D_real: -0.007742 Loss_D_fake 0.012862
[1350/5000][230/535][139293] Loss_D: -0.018116 Loss_G: 0.026230 Loss_D_real: -0.023155 Loss_D_fake -0.005039
[1350/5000][235/535][139294] Loss_D: -0.020374 Loss_G: 0.004256 Loss_D_real: -0.005341 Loss_D_fake 0.015033
[1350/5000][240/535][139295] Loss_D: -0.019771 Loss_G: -0.007296 Loss_D_real: -0.006333 Loss_D_fake 0.013439
[1350/5000][245/535][139296] Loss_D: -0.017381 Loss_G: -0.008518 Loss_D_real: -0.000480 Loss_D_fake 0.016901
[1350/5000][250/535][139297] Loss_D: -0.020115 Loss_G: 0.014694 Loss_D_real: -0.000763 Loss_D_fake 0.019353
[1350/5000][255/535][139298] Loss_D: -0.019468 Loss_G: 0.001185 Loss_D_real: -0.007327 Loss_D_fake 0.012142
[1350/5000][260/535][139299] Loss_D: -0.020503 Loss_G: 0.017180 Loss_D_real: -0.030066 Loss_D_fake -0.009563
[1350/5000][265/535][139300] Loss_D: -0.019537 Loss_G: 0.008272 Loss_D_real: -0.031848 Loss_D_fake -0.012311
[1350/5000][270/535][139301] Loss_D: -0.020139 Loss_G: -0.014069 Loss_D_real: -0.000443 Loss_D_fake 0.019696
[1350/5000][275/535][139302] Loss_D: -0.019831 Loss_G: 0.011492 Loss_D_real: -0.024782 Loss_D_fake -0.004951
[1350/5000][280/535][139303] Loss_D: -0.019904 Loss_G: 0.010750 Loss_D_real: -0.010196 Loss_D_fake 0.009708
[1350/5000][285/535][139304] Loss_D: -0.019259 Loss_G: 0.011420 Loss_D_real: -0.009804 Loss_D_fake 0.009454
[1350/5000][290/535][139305] Loss_D: -0.020795 Loss_G: 0.004921 Loss_D_real: 0.001761 Loss_D_fake 0.022556
[1350/5000][295/535][139306] Loss_D: -0.019231 Loss_G: 0.001294 Loss_D_real: -0.006457 Loss_D_fake 0.012773
[1350/5000][300/535][139307] Loss_D: -0.020756 Loss_G: 0.014881 Loss_D_real: -0.027423 Loss_D_fake -0.006668
[1350/5000][305/535][139308] Loss_D: -0.019665 Loss_G: 0.017495 Loss_D_real: -0.025164 Loss_D_fake -0.005499
[1350/5000][310/535][139309] Loss_D: -0.019865 Loss_G: 0.008735 Loss_D_real: -0.009379 Loss_D_fake 0.010487
[1350/5000][315/535][139310] Loss_D: -0.021496 Loss_G: 0.004772 Loss_D_real: -0.012507 Loss_D_fake 0.008989
[1350/5000][320/535][139311] Loss_D: -0.020805 Loss_G: 0.008810 Loss_D_real: -0.011033 Loss_D_fake 0.009772
[1350/5000][325/535][139312] Loss_D: -0.019983 Loss_G: 0.001217 Loss_D_real: -0.007760 Loss_D_fake 0.012223
[1350/5000][330/535][139313] Loss_D: -0.018417 Loss_G: 0.016167 Loss_D_real: -0.019644 Loss_D_fake -0.001227
[1350/5000][335/535][139314] Loss_D: -0.019773 Loss_G: 0.014253 Loss_D_real: -0.015356 Loss_D_fake 0.004417
[1350/5000][340/535][139315] Loss_D: -0.019806 Loss_G: 0.004785 Loss_D_real: -0.016188 Loss_D_fake 0.003618
[1350/5000][345/535][139316] Loss_D: -0.019991 Loss_G: 0.015975 Loss_D_real: -0.015170 Loss_D_fake 0.004821
[1350/5000][350/535][139317] Loss_D: -0.019711 Loss_G: -0.003518 Loss_D_real: -0.000800 Loss_D_fake 0.018911
[1350/5000][355/535][139318] Loss_D: -0.019492 Loss_G: 0.007846 Loss_D_real: -0.007086 Loss_D_fake 0.012406
[1350/5000][360/535][139319] Loss_D: -0.019851 Loss_G: 0.019488 Loss_D_real: -0.020694 Loss_D_fake -0.000843
[1350/5000][365/535][139320] Loss_D: -0.019946 Loss_G: -0.015315 Loss_D_real: -0.007423 Loss_D_fake 0.012523
[1350/5000][370/535][139321] Loss_D: -0.019393 Loss_G: 0.021350 Loss_D_real: -0.020208 Loss_D_fake -0.000816
[1350/5000][375/535][139322] Loss_D: -0.018467 Loss_G: 0.019948 Loss_D_real: -0.035296 Loss_D_fake -0.016829
[1350/5000][380/535][139323] Loss_D: -0.020863 Loss_G: -0.002821 Loss_D_real: -0.011585 Loss_D_fake 0.009278
[1350/5000][385/535][139324] Loss_D: -0.020004 Loss_G: -0.006619 Loss_D_real: -0.006579 Loss_D_fake 0.013425
[1350/5000][390/535][139325] Loss_D: -0.018850 Loss_G: 0.004910 Loss_D_real: -0.014071 Loss_D_fake 0.004779
[1350/5000][395/535][139326] Loss_D: -0.019676 Loss_G: 0.020316 Loss_D_real: -0.010659 Loss_D_fake 0.009017
[1350/5000][400/535][139327] Loss_D: -0.020171 Loss_G: -0.009389 Loss_D_real: 0.003064 Loss_D_fake 0.023236
[1350/5000][405/535][139328] Loss_D: -0.020408 Loss_G: 0.027820 Loss_D_real: -0.018264 Loss_D_fake 0.002144
[1350/5000][410/535][139329] Loss_D: -0.020469 Loss_G: 0.006792 Loss_D_real: -0.010267 Loss_D_fake 0.010202
[1350/5000][415/535][139330] Loss_D: -0.019078 Loss_G: 0.021529 Loss_D_real: -0.014192 Loss_D_fake 0.004886
[1350/5000][420/535][139331] Loss_D: -0.021218 Loss_G: 0.008327 Loss_D_real: -0.021568 Loss_D_fake -0.000350
[1350/5000][425/535][139332] Loss_D: -0.020150 Loss_G: 0.001585 Loss_D_real: -0.018555 Loss_D_fake 0.001596
[1350/5000][430/535][139333] Loss_D: -0.019757 Loss_G: -0.005367 Loss_D_real: -0.004859 Loss_D_fake 0.014897
[1350/5000][435/535][139334] Loss_D: -0.019438 Loss_G: 0.019770 Loss_D_real: -0.020857 Loss_D_fake -0.001418
[1350/5000][440/535][139335] Loss_D: -0.019719 Loss_G: 0.005184 Loss_D_real: -0.009556 Loss_D_fake 0.010163
[1350/5000][445/535][139336] Loss_D: -0.019637 Loss_G: 0.001863 Loss_D_real: -0.014679 Loss_D_fake 0.004958
[1350/5000][450/535][139337] Loss_D: -0.019699 Loss_G: 0.002824 Loss_D_real: 0.000627 Loss_D_fake 0.020325
[1350/5000][455/535][139338] Loss_D: -0.019837 Loss_G: 0.018559 Loss_D_real: -0.021024 Loss_D_fake -0.001187
[1350/5000][460/535][139339] Loss_D: -0.018532 Loss_G: 0.014139 Loss_D_real: -0.014979 Loss_D_fake 0.003553
[1350/5000][465/535][139340] Loss_D: -0.018763 Loss_G: 0.000973 Loss_D_real: -0.005900 Loss_D_fake 0.012862
[1350/5000][470/535][139341] Loss_D: -0.019900 Loss_G: -0.007019 Loss_D_real: -0.008200 Loss_D_fake 0.011700
[1350/5000][475/535][139342] Loss_D: -0.018316 Loss_G: -0.001909 Loss_D_real: -0.004610 Loss_D_fake 0.013706
[1350/5000][480/535][139343] Loss_D: -0.019406 Loss_G: -0.004073 Loss_D_real: -0.008056 Loss_D_fake 0.011350
[1350/5000][485/535][139344] Loss_D: -0.018250 Loss_G: 0.002797 Loss_D_real: -0.013699 Loss_D_fake 0.004551
[1350/5000][490/535][139345] Loss_D: -0.018924 Loss_G: 0.019269 Loss_D_real: -0.019554 Loss_D_fake -0.000629
[1350/5000][495/535][139346] Loss_D: -0.018692 Loss_G: -0.013117 Loss_D_real: -0.001619 Loss_D_fake 0.017073
[1350/5000][500/535][139347] Loss_D: -0.019145 Loss_G: 0.009463 Loss_D_real: -0.007115 Loss_D_fake 0.012031
[1350/5000][505/535][139348] Loss_D: -0.020158 Loss_G: 0.000721 Loss_D_real: -0.002578 Loss_D_fake 0.017580
[1350/5000][510/535][139349] Loss_D: -0.019101 Loss_G: 0.018693 Loss_D_real: -0.027635 Loss_D_fake -0.008533
[1350/5000][515/535][139350] Loss_D: -0.020117 Loss_G: 0.005824 Loss_D_real: -0.009707 Loss_D_fake 0.010410
[1350/5000][520/535][139351] Loss_D: -0.020574 Loss_G: 0.003977 Loss_D_real: -0.003314 Loss_D_fake 0.017259
[1350/5000][525/535][139352] Loss_D: -0.020627 Loss_G: 0.009321 Loss_D_real: -0.003404 Loss_D_fake 0.017223
[1350/5000][530/535][139353] Loss_D: -0.019929 Loss_G: 0.012787 Loss_D_real: -0.003249 Loss_D_fake 0.016680
[1350/5000][535/535][139354] Loss_D: -0.017836 Loss_G: 0.020757 Loss_D_real: -0.017988 Loss_D_fake -0.000152
[1351/5000][5/535][139355] Loss_D: -0.019362 Loss_G: 0.001736 Loss_D_real: -0.009096 Loss_D_fake 0.010266
[1351/5000][10/535][139356] Loss_D: -0.019491 Loss_G: 0.020264 Loss_D_real: -0.022912 Loss_D_fake -0.003420
[1351/5000][15/535][139357] Loss_D: -0.019139 Loss_G: 0.005566 Loss_D_real: -0.015771 Loss_D_fake 0.003368
[1351/5000][20/535][139358] Loss_D: -0.019991 Loss_G: 0.034604 Loss_D_real: -0.018489 Loss_D_fake 0.001502
[1351/5000][25/535][139359] Loss_D: -0.018694 Loss_G: -0.012196 Loss_D_real: 0.005575 Loss_D_fake 0.024268
[1351/5000][30/535][139360] Loss_D: -0.019453 Loss_G: -0.007875 Loss_D_real: -0.003902 Loss_D_fake 0.015552
[1351/5000][35/535][139361] Loss_D: -0.018797 Loss_G: 0.012628 Loss_D_real: -0.021739 Loss_D_fake -0.002942
[1351/5000][40/535][139362] Loss_D: -0.020097 Loss_G: -0.007579 Loss_D_real: -0.016056 Loss_D_fake 0.004041
[1351/5000][45/535][139363] Loss_D: -0.020698 Loss_G: 0.013256 Loss_D_real: -0.018307 Loss_D_fake 0.002390
[1351/5000][50/535][139364] Loss_D: -0.020632 Loss_G: 0.007887 Loss_D_real: 0.003228 Loss_D_fake 0.023860
[1351/5000][55/535][139365] Loss_D: -0.019552 Loss_G: 0.004673 Loss_D_real: -0.011955 Loss_D_fake 0.007597
[1351/5000][60/535][139366] Loss_D: -0.019488 Loss_G: 0.032654 Loss_D_real: -0.021253 Loss_D_fake -0.001765
[1351/5000][65/535][139367] Loss_D: -0.019404 Loss_G: 0.009234 Loss_D_real: -0.014785 Loss_D_fake 0.004619
[1351/5000][70/535][139368] Loss_D: -0.020540 Loss_G: 0.014886 Loss_D_real: -0.025479 Loss_D_fake -0.004939
[1351/5000][75/535][139369] Loss_D: -0.019731 Loss_G: 0.019732 Loss_D_real: -0.024712 Loss_D_fake -0.004981
[1351/5000][80/535][139370] Loss_D: -0.020820 Loss_G: 0.005802 Loss_D_real: 0.002464 Loss_D_fake 0.023285
[1351/5000][85/535][139371] Loss_D: -0.019955 Loss_G: 0.011159 Loss_D_real: -0.011169 Loss_D_fake 0.008786
[1351/5000][90/535][139372] Loss_D: -0.020766 Loss_G: 0.012064 Loss_D_real: -0.024511 Loss_D_fake -0.003745
[1351/5000][95/535][139373] Loss_D: -0.019837 Loss_G: -0.008790 Loss_D_real: -0.005528 Loss_D_fake 0.014309
[1351/5000][100/535][139374] Loss_D: -0.020123 Loss_G: 0.018888 Loss_D_real: -0.024433 Loss_D_fake -0.004310
[1351/5000][105/535][139375] Loss_D: -0.021281 Loss_G: 0.014015 Loss_D_real: -0.031512 Loss_D_fake -0.010231
[1351/5000][110/535][139376] Loss_D: -0.020868 Loss_G: 0.027617 Loss_D_real: -0.030405 Loss_D_fake -0.009537
[1351/5000][115/535][139377] Loss_D: -0.020109 Loss_G: 0.005787 Loss_D_real: -0.014291 Loss_D_fake 0.005818
[1351/5000][120/535][139378] Loss_D: -0.019861 Loss_G: -0.001633 Loss_D_real: -0.003429 Loss_D_fake 0.016432
[1351/5000][125/535][139379] Loss_D: -0.020395 Loss_G: 0.001170 Loss_D_real: -0.005764 Loss_D_fake 0.014632
[1351/5000][130/535][139380] Loss_D: -0.018870 Loss_G: -0.004784 Loss_D_real: 0.005182 Loss_D_fake 0.024051
[1351/5000][135/535][139381] Loss_D: -0.019775 Loss_G: 0.002857 Loss_D_real: -0.012504 Loss_D_fake 0.007271
[1351/5000][140/535][139382] Loss_D: -0.019582 Loss_G: 0.009189 Loss_D_real: -0.017478 Loss_D_fake 0.002104
[1351/5000][145/535][139383] Loss_D: -0.020161 Loss_G: 0.006331 Loss_D_real: -0.022230 Loss_D_fake -0.002069
[1351/5000][150/535][139384] Loss_D: -0.019414 Loss_G: 0.031006 Loss_D_real: -0.015848 Loss_D_fake 0.003567
[1351/5000][155/535][139385] Loss_D: -0.020119 Loss_G: 0.012719 Loss_D_real: -0.024284 Loss_D_fake -0.004165
[1351/5000][160/535][139386] Loss_D: -0.019431 Loss_G: 0.024356 Loss_D_real: -0.025117 Loss_D_fake -0.005686
[1351/5000][165/535][139387] Loss_D: -0.016555 Loss_G: -0.016948 Loss_D_real: 0.014439 Loss_D_fake 0.030994
[1351/5000][170/535][139388] Loss_D: -0.018756 Loss_G: 0.001186 Loss_D_real: -0.019109 Loss_D_fake -0.000352
[1351/5000][175/535][139389] Loss_D: -0.019945 Loss_G: -0.001413 Loss_D_real: -0.009823 Loss_D_fake 0.010122
[1351/5000][180/535][139390] Loss_D: -0.018742 Loss_G: 0.012592 Loss_D_real: -0.023040 Loss_D_fake -0.004298
[1351/5000][185/535][139391] Loss_D: -0.020456 Loss_G: 0.007285 Loss_D_real: -0.013805 Loss_D_fake 0.006651
[1351/5000][190/535][139392] Loss_D: -0.019002 Loss_G: -0.010425 Loss_D_real: -0.008292 Loss_D_fake 0.010710
[1351/5000][195/535][139393] Loss_D: -0.018795 Loss_G: 0.007950 Loss_D_real: -0.014753 Loss_D_fake 0.004043
[1351/5000][200/535][139394] Loss_D: -0.018726 Loss_G: -0.002984 Loss_D_real: 0.013670 Loss_D_fake 0.032396
[1351/5000][205/535][139395] Loss_D: -0.019736 Loss_G: -0.003644 Loss_D_real: -0.009238 Loss_D_fake 0.010498
[1351/5000][210/535][139396] Loss_D: -0.018606 Loss_G: 0.006334 Loss_D_real: -0.016552 Loss_D_fake 0.002054
[1351/5000][215/535][139397] Loss_D: -0.019034 Loss_G: 0.007307 Loss_D_real: -0.016231 Loss_D_fake 0.002803
[1351/5000][220/535][139398] Loss_D: -0.020064 Loss_G: 0.001771 Loss_D_real: -0.012119 Loss_D_fake 0.007945
[1351/5000][225/535][139399] Loss_D: -0.020819 Loss_G: 0.011224 Loss_D_real: -0.008571 Loss_D_fake 0.012248
[1351/5000][230/535][139400] Loss_D: -0.020393 Loss_G: 0.016812 Loss_D_real: -0.010961 Loss_D_fake 0.009432
[1351/5000][235/535][139401] Loss_D: -0.019477 Loss_G: 0.005616 Loss_D_real: -0.030094 Loss_D_fake -0.010617
[1351/5000][240/535][139402] Loss_D: -0.019306 Loss_G: 0.003558 Loss_D_real: -0.006746 Loss_D_fake 0.012560
[1351/5000][245/535][139403] Loss_D: -0.018988 Loss_G: 0.015014 Loss_D_real: -0.016941 Loss_D_fake 0.002047
[1351/5000][250/535][139404] Loss_D: -0.018184 Loss_G: -0.006420 Loss_D_real: -0.004658 Loss_D_fake 0.013526
[1351/5000][255/535][139405] Loss_D: -0.020446 Loss_G: 0.027227 Loss_D_real: -0.012844 Loss_D_fake 0.007603
[1351/5000][260/535][139406] Loss_D: -0.019605 Loss_G: -0.005159 Loss_D_real: -0.006082 Loss_D_fake 0.013523
[1351/5000][265/535][139407] Loss_D: -0.018822 Loss_G: 0.016214 Loss_D_real: -0.013036 Loss_D_fake 0.005786
[1351/5000][270/535][139408] Loss_D: -0.020762 Loss_G: 0.001441 Loss_D_real: -0.012671 Loss_D_fake 0.008091
[1351/5000][275/535][139409] Loss_D: -0.019009 Loss_G: -0.021482 Loss_D_real: 0.001776 Loss_D_fake 0.020784
[1351/5000][280/535][139410] Loss_D: -0.019814 Loss_G: 0.020493 Loss_D_real: -0.016848 Loss_D_fake 0.002966
[1351/5000][285/535][139411] Loss_D: -0.020354 Loss_G: 0.018110 Loss_D_real: -0.005799 Loss_D_fake 0.014554
[1351/5000][290/535][139412] Loss_D: -0.020987 Loss_G: -0.011643 Loss_D_real: 0.000594 Loss_D_fake 0.021581
[1351/5000][295/535][139413] Loss_D: -0.019223 Loss_G: 0.016264 Loss_D_real: -0.020832 Loss_D_fake -0.001609
[1351/5000][300/535][139414] Loss_D: -0.018796 Loss_G: -0.004504 Loss_D_real: -0.008366 Loss_D_fake 0.010430
[1351/5000][305/535][139415] Loss_D: -0.020046 Loss_G: 0.021900 Loss_D_real: -0.020123 Loss_D_fake -0.000076
[1351/5000][310/535][139416] Loss_D: -0.020052 Loss_G: 0.004323 Loss_D_real: -0.008773 Loss_D_fake 0.011279
[1351/5000][315/535][139417] Loss_D: -0.018429 Loss_G: 0.023246 Loss_D_real: -0.023961 Loss_D_fake -0.005532
[1351/5000][320/535][139418] Loss_D: -0.019313 Loss_G: 0.001631 Loss_D_real: -0.002805 Loss_D_fake 0.016507
[1351/5000][325/535][139419] Loss_D: -0.019295 Loss_G: -0.008831 Loss_D_real: -0.003701 Loss_D_fake 0.015594
[1351/5000][330/535][139420] Loss_D: -0.019701 Loss_G: 0.007757 Loss_D_real: -0.011311 Loss_D_fake 0.008389
[1351/5000][335/535][139421] Loss_D: -0.020247 Loss_G: 0.010363 Loss_D_real: -0.007277 Loss_D_fake 0.012970
[1351/5000][340/535][139422] Loss_D: -0.019225 Loss_G: 0.005867 Loss_D_real: -0.017890 Loss_D_fake 0.001335
[1351/5000][345/535][139423] Loss_D: -0.020779 Loss_G: 0.005923 Loss_D_real: -0.014866 Loss_D_fake 0.005912
[1351/5000][350/535][139424] Loss_D: -0.020641 Loss_G: 0.004570 Loss_D_real: -0.008872 Loss_D_fake 0.011768
[1351/5000][355/535][139425] Loss_D: -0.019759 Loss_G: 0.013421 Loss_D_real: -0.019639 Loss_D_fake 0.000120
[1351/5000][360/535][139426] Loss_D: -0.020943 Loss_G: 0.009267 Loss_D_real: -0.012851 Loss_D_fake 0.008091
[1351/5000][365/535][139427] Loss_D: -0.018082 Loss_G: 0.027222 Loss_D_real: -0.017345 Loss_D_fake 0.000737
[1351/5000][370/535][139428] Loss_D: -0.020227 Loss_G: -0.003073 Loss_D_real: -0.013274 Loss_D_fake 0.006953
[1351/5000][375/535][139429] Loss_D: -0.020234 Loss_G: 0.004612 Loss_D_real: -0.011711 Loss_D_fake 0.008523
[1351/5000][380/535][139430] Loss_D: -0.019472 Loss_G: 0.010071 Loss_D_real: -0.024001 Loss_D_fake -0.004529
[1351/5000][385/535][139431] Loss_D: -0.020844 Loss_G: 0.022095 Loss_D_real: -0.009784 Loss_D_fake 0.011060
[1351/5000][390/535][139432] Loss_D: -0.018746 Loss_G: 0.002795 Loss_D_real: -0.012141 Loss_D_fake 0.006605
[1351/5000][395/535][139433] Loss_D: -0.019637 Loss_G: 0.011318 Loss_D_real: -0.027075 Loss_D_fake -0.007438
[1351/5000][400/535][139434] Loss_D: -0.020804 Loss_G: 0.014537 Loss_D_real: -0.008902 Loss_D_fake 0.011902
[1351/5000][405/535][139435] Loss_D: -0.020373 Loss_G: -0.003576 Loss_D_real: -0.003812 Loss_D_fake 0.016560
[1351/5000][410/535][139436] Loss_D: -0.020709 Loss_G: 0.014843 Loss_D_real: -0.022426 Loss_D_fake -0.001717
[1351/5000][415/535][139437] Loss_D: -0.020495 Loss_G: 0.012309 Loss_D_real: -0.018281 Loss_D_fake 0.002213
[1351/5000][420/535][139438] Loss_D: -0.019634 Loss_G: -0.005960 Loss_D_real: -0.003777 Loss_D_fake 0.015857
[1351/5000][425/535][139439] Loss_D: -0.019608 Loss_G: 0.009207 Loss_D_real: -0.013927 Loss_D_fake 0.005682
[1351/5000][430/535][139440] Loss_D: -0.021036 Loss_G: 0.025049 Loss_D_real: -0.019322 Loss_D_fake 0.001713
[1351/5000][435/535][139441] Loss_D: -0.018202 Loss_G: 0.003859 Loss_D_real: -0.021898 Loss_D_fake -0.003697
[1351/5000][440/535][139442] Loss_D: -0.019161 Loss_G: -0.009408 Loss_D_real: -0.000671 Loss_D_fake 0.018491
[1351/5000][445/535][139443] Loss_D: -0.019390 Loss_G: 0.007990 Loss_D_real: -0.020052 Loss_D_fake -0.000662
[1351/5000][450/535][139444] Loss_D: -0.018968 Loss_G: 0.005469 Loss_D_real: -0.019960 Loss_D_fake -0.000992
[1351/5000][455/535][139445] Loss_D: -0.019401 Loss_G: -0.001805 Loss_D_real: -0.001940 Loss_D_fake 0.017462
[1351/5000][460/535][139446] Loss_D: -0.020452 Loss_G: 0.005351 Loss_D_real: -0.018831 Loss_D_fake 0.001621
[1351/5000][465/535][139447] Loss_D: -0.020583 Loss_G: 0.017642 Loss_D_real: -0.008229 Loss_D_fake 0.012354
[1351/5000][470/535][139448] Loss_D: -0.020287 Loss_G: -0.004137 Loss_D_real: -0.021095 Loss_D_fake -0.000808
[1351/5000][475/535][139449] Loss_D: -0.020752 Loss_G: 0.010919 Loss_D_real: -0.020667 Loss_D_fake 0.000085
[1351/5000][480/535][139450] Loss_D: -0.019512 Loss_G: 0.006682 Loss_D_real: -0.004406 Loss_D_fake 0.015106
[1351/5000][485/535][139451] Loss_D: -0.019279 Loss_G: 0.006425 Loss_D_real: -0.014385 Loss_D_fake 0.004894
[1351/5000][490/535][139452] Loss_D: -0.021325 Loss_G: 0.013521 Loss_D_real: -0.007899 Loss_D_fake 0.013426
[1351/5000][495/535][139453] Loss_D: -0.019822 Loss_G: -0.006793 Loss_D_real: -0.005406 Loss_D_fake 0.014417
[1351/5000][500/535][139454] Loss_D: -0.020166 Loss_G: 0.012903 Loss_D_real: -0.014926 Loss_D_fake 0.005240
[1351/5000][505/535][139455] Loss_D: -0.020170 Loss_G: -0.000968 Loss_D_real: -0.014072 Loss_D_fake 0.006099
[1351/5000][510/535][139456] Loss_D: -0.017404 Loss_G: 0.028743 Loss_D_real: -0.026693 Loss_D_fake -0.009289
[1351/5000][515/535][139457] Loss_D: -0.019168 Loss_G: 0.002143 Loss_D_real: -0.018334 Loss_D_fake 0.000833
[1351/5000][520/535][139458] Loss_D: -0.019156 Loss_G: 0.012482 Loss_D_real: -0.008944 Loss_D_fake 0.010212
[1351/5000][525/535][139459] Loss_D: -0.019764 Loss_G: 0.002713 Loss_D_real: -0.005743 Loss_D_fake 0.014022
[1351/5000][530/535][139460] Loss_D: -0.021169 Loss_G: 0.000441 Loss_D_real: -0.019342 Loss_D_fake 0.001827
[1351/5000][535/535][139461] Loss_D: -0.021264 Loss_G: 0.024375 Loss_D_real: -0.014673 Loss_D_fake 0.006591
[1352/5000][5/535][139462] Loss_D: -0.018132 Loss_G: 0.030128 Loss_D_real: -0.017608 Loss_D_fake 0.000524
[1352/5000][10/535][139463] Loss_D: -0.018506 Loss_G: 0.019841 Loss_D_real: -0.028734 Loss_D_fake -0.010228
[1352/5000][15/535][139464] Loss_D: -0.020800 Loss_G: 0.017156 Loss_D_real: -0.025219 Loss_D_fake -0.004419
[1352/5000][20/535][139465] Loss_D: -0.019798 Loss_G: 0.016174 Loss_D_real: -0.016246 Loss_D_fake 0.003551
[1352/5000][25/535][139466] Loss_D: -0.019094 Loss_G: 0.012959 Loss_D_real: -0.014830 Loss_D_fake 0.004264
[1352/5000][30/535][139467] Loss_D: -0.020330 Loss_G: 0.006855 Loss_D_real: -0.011724 Loss_D_fake 0.008606
[1352/5000][35/535][139468] Loss_D: -0.020382 Loss_G: -0.006167 Loss_D_real: -0.018923 Loss_D_fake 0.001459
[1352/5000][40/535][139469] Loss_D: -0.019047 Loss_G: 0.016059 Loss_D_real: -0.014852 Loss_D_fake 0.004195
[1352/5000][45/535][139470] Loss_D: -0.019139 Loss_G: 0.020751 Loss_D_real: -0.035984 Loss_D_fake -0.016846
[1352/5000][50/535][139471] Loss_D: -0.019197 Loss_G: -0.011247 Loss_D_real: -0.011205 Loss_D_fake 0.007992
[1352/5000][55/535][139472] Loss_D: -0.018769 Loss_G: 0.005654 Loss_D_real: -0.005879 Loss_D_fake 0.012890
[1352/5000][60/535][139473] Loss_D: -0.019096 Loss_G: 0.015258 Loss_D_real: -0.023208 Loss_D_fake -0.004112
[1352/5000][65/535][139474] Loss_D: -0.019496 Loss_G: -0.001063 Loss_D_real: -0.000369 Loss_D_fake 0.019128
[1352/5000][70/535][139475] Loss_D: -0.018303 Loss_G: 0.005231 Loss_D_real: -0.022179 Loss_D_fake -0.003876
[1352/5000][75/535][139476] Loss_D: -0.020368 Loss_G: 0.006324 Loss_D_real: -0.014816 Loss_D_fake 0.005553
[1352/5000][80/535][139477] Loss_D: -0.018428 Loss_G: -0.006718 Loss_D_real: 0.003125 Loss_D_fake 0.021552
[1352/5000][85/535][139478] Loss_D: -0.019564 Loss_G: -0.002037 Loss_D_real: -0.016734 Loss_D_fake 0.002830
[1352/5000][90/535][139479] Loss_D: -0.020784 Loss_G: 0.002540 Loss_D_real: -0.014636 Loss_D_fake 0.006148
[1352/5000][95/535][139480] Loss_D: -0.018827 Loss_G: 0.011586 Loss_D_real: -0.009637 Loss_D_fake 0.009190
[1352/5000][100/535][139481] Loss_D: -0.020161 Loss_G: 0.016937 Loss_D_real: -0.013736 Loss_D_fake 0.006426
[1352/5000][105/535][139482] Loss_D: -0.020131 Loss_G: -0.002218 Loss_D_real: -0.005302 Loss_D_fake 0.014829
[1352/5000][110/535][139483] Loss_D: -0.019264 Loss_G: 0.005831 Loss_D_real: -0.023344 Loss_D_fake -0.004080
[1352/5000][115/535][139484] Loss_D: -0.019320 Loss_G: 0.017159 Loss_D_real: -0.014887 Loss_D_fake 0.004433
[1352/5000][120/535][139485] Loss_D: -0.019083 Loss_G: 0.005078 Loss_D_real: -0.015477 Loss_D_fake 0.003607
[1352/5000][125/535][139486] Loss_D: -0.019820 Loss_G: -0.000348 Loss_D_real: 0.000522 Loss_D_fake 0.020342
[1352/5000][130/535][139487] Loss_D: -0.018985 Loss_G: 0.008487 Loss_D_real: -0.022269 Loss_D_fake -0.003283
[1352/5000][135/535][139488] Loss_D: -0.018370 Loss_G: -0.005046 Loss_D_real: -0.012894 Loss_D_fake 0.005476
[1352/5000][140/535][139489] Loss_D: -0.020441 Loss_G: 0.032426 Loss_D_real: -0.012804 Loss_D_fake 0.007637
[1352/5000][145/535][139490] Loss_D: -0.019604 Loss_G: 0.010857 Loss_D_real: -0.020128 Loss_D_fake -0.000524
[1352/5000][150/535][139491] Loss_D: -0.019168 Loss_G: -0.008045 Loss_D_real: 0.000520 Loss_D_fake 0.019688
[1352/5000][155/535][139492] Loss_D: -0.019264 Loss_G: 0.009314 Loss_D_real: -0.015325 Loss_D_fake 0.003939
[1352/5000][160/535][139493] Loss_D: -0.020439 Loss_G: 0.015637 Loss_D_real: -0.020457 Loss_D_fake -0.000018
[1352/5000][165/535][139494] Loss_D: -0.018679 Loss_G: -0.016874 Loss_D_real: -0.002772 Loss_D_fake 0.015907
[1352/5000][170/535][139495] Loss_D: -0.019806 Loss_G: 0.014007 Loss_D_real: -0.020524 Loss_D_fake -0.000717
[1352/5000][175/535][139496] Loss_D: -0.019233 Loss_G: -0.008692 Loss_D_real: 0.000295 Loss_D_fake 0.019528
[1352/5000][180/535][139497] Loss_D: -0.019494 Loss_G: 0.009809 Loss_D_real: -0.019585 Loss_D_fake -0.000090
[1352/5000][185/535][139498] Loss_D: -0.018488 Loss_G: 0.029070 Loss_D_real: -0.026741 Loss_D_fake -0.008254
[1352/5000][190/535][139499] Loss_D: -0.019354 Loss_G: -0.003055 Loss_D_real: -0.002881 Loss_D_fake 0.016474
[1352/5000][195/535][139500] Loss_D: -0.019249 Loss_G: 0.017849 Loss_D_real: -0.025163 Loss_D_fake -0.005913
[1352/5000][295/535][139501] Loss_D: -0.024466 Loss_G: 0.023262 Loss_D_real: -0.017394 Loss_D_fake 0.007073
[1352/5000][300/535][139502] Loss_D: -0.019895 Loss_G: 0.030612 Loss_D_real: -0.027914 Loss_D_fake -0.008019
[1352/5000][305/535][139503] Loss_D: -0.019099 Loss_G: -0.006671 Loss_D_real: -0.007562 Loss_D_fake 0.011537
[1352/5000][310/535][139504] Loss_D: -0.017895 Loss_G: 0.016117 Loss_D_real: -0.019304 Loss_D_fake -0.001408
[1352/5000][315/535][139505] Loss_D: -0.018202 Loss_G: 0.017187 Loss_D_real: -0.017972 Loss_D_fake 0.000230
[1352/5000][320/535][139506] Loss_D: -0.016615 Loss_G: 0.027415 Loss_D_real: -0.025077 Loss_D_fake -0.008462
[1352/5000][325/535][139507] Loss_D: -0.018915 Loss_G: -0.001014 Loss_D_real: -0.008209 Loss_D_fake 0.010706
[1352/5000][330/535][139508] Loss_D: -0.018286 Loss_G: -0.003709 Loss_D_real: -0.006603 Loss_D_fake 0.011683
[1352/5000][335/535][139509] Loss_D: -0.018350 Loss_G: 0.000403 Loss_D_real: -0.002581 Loss_D_fake 0.015769
[1352/5000][340/535][139510] Loss_D: -0.018870 Loss_G: -0.001436 Loss_D_real: -0.006230 Loss_D_fake 0.012640
[1352/5000][345/535][139511] Loss_D: -0.018941 Loss_G: -0.001757 Loss_D_real: -0.013280 Loss_D_fake 0.005661
[1352/5000][350/535][139512] Loss_D: -0.019614 Loss_G: 0.021167 Loss_D_real: -0.014978 Loss_D_fake 0.004635
[1352/5000][355/535][139513] Loss_D: -0.019705 Loss_G: 0.008247 Loss_D_real: -0.005771 Loss_D_fake 0.013935
[1352/5000][360/535][139514] Loss_D: -0.018735 Loss_G: 0.001802 Loss_D_real: -0.006987 Loss_D_fake 0.011747
[1352/5000][365/535][139515] Loss_D: -0.018834 Loss_G: 0.015111 Loss_D_real: -0.009719 Loss_D_fake 0.009115
[1352/5000][370/535][139516] Loss_D: -0.020876 Loss_G: 0.025797 Loss_D_real: -0.021134 Loss_D_fake -0.000258
[1352/5000][375/535][139517] Loss_D: -0.018664 Loss_G: 0.015957 Loss_D_real: -0.022480 Loss_D_fake -0.003815
[1352/5000][380/535][139518] Loss_D: -0.019111 Loss_G: 0.005239 Loss_D_real: -0.019068 Loss_D_fake 0.000043
[1352/5000][385/535][139519] Loss_D: -0.019672 Loss_G: 0.003732 Loss_D_real: -0.005082 Loss_D_fake 0.014590
[1352/5000][390/535][139520] Loss_D: -0.019211 Loss_G: 0.002068 Loss_D_real: -0.014054 Loss_D_fake 0.005157
[1352/5000][395/535][139521] Loss_D: -0.018037 Loss_G: 0.002895 Loss_D_real: 0.005950 Loss_D_fake 0.023987
[1352/5000][400/535][139522] Loss_D: -0.019684 Loss_G: 0.010392 Loss_D_real: -0.019237 Loss_D_fake 0.000448
[1352/5000][405/535][139523] Loss_D: -0.020400 Loss_G: -0.002500 Loss_D_real: -0.015097 Loss_D_fake 0.005303
[1352/5000][410/535][139524] Loss_D: -0.019285 Loss_G: 0.024288 Loss_D_real: -0.019254 Loss_D_fake 0.000031
[1352/5000][415/535][139525] Loss_D: -0.017885 Loss_G: 0.028666 Loss_D_real: -0.015054 Loss_D_fake 0.002831
[1352/5000][420/535][139526] Loss_D: -0.018673 Loss_G: 0.010813 Loss_D_real: -0.010975 Loss_D_fake 0.007699
[1352/5000][425/535][139527] Loss_D: -0.018893 Loss_G: 0.015289 Loss_D_real: -0.030910 Loss_D_fake -0.012017
[1352/5000][430/535][139528] Loss_D: -0.019509 Loss_G: 0.005446 Loss_D_real: -0.008350 Loss_D_fake 0.011159
[1352/5000][435/535][139529] Loss_D: -0.019900 Loss_G: 0.006285 Loss_D_real: -0.021934 Loss_D_fake -0.002034
[1352/5000][440/535][139530] Loss_D: -0.019990 Loss_G: -0.005870 Loss_D_real: -0.014480 Loss_D_fake 0.005510
[1352/5000][445/535][139531] Loss_D: -0.019283 Loss_G: 0.014484 Loss_D_real: -0.014553 Loss_D_fake 0.004730
[1352/5000][450/535][139532] Loss_D: -0.019246 Loss_G: 0.013260 Loss_D_real: -0.022441 Loss_D_fake -0.003195
[1352/5000][455/535][139533] Loss_D: -0.019874 Loss_G: -0.005663 Loss_D_real: 0.009213 Loss_D_fake 0.029087
[1352/5000][460/535][139534] Loss_D: -0.020195 Loss_G: 0.012666 Loss_D_real: -0.020198 Loss_D_fake -0.000004
[1352/5000][465/535][139535] Loss_D: -0.020023 Loss_G: 0.010738 Loss_D_real: -0.024147 Loss_D_fake -0.004123
[1352/5000][470/535][139536] Loss_D: -0.019505 Loss_G: 0.004847 Loss_D_real: -0.012836 Loss_D_fake 0.006669
[1352/5000][475/535][139537] Loss_D: -0.020180 Loss_G: 0.000870 Loss_D_real: -0.016145 Loss_D_fake 0.004036
[1352/5000][480/535][139538] Loss_D: -0.020514 Loss_G: 0.020503 Loss_D_real: -0.024739 Loss_D_fake -0.004225
[1352/5000][485/535][139539] Loss_D: -0.020676 Loss_G: 0.015449 Loss_D_real: -0.015562 Loss_D_fake 0.005114
[1352/5000][490/535][139540] Loss_D: -0.019471 Loss_G: 0.027927 Loss_D_real: -0.031463 Loss_D_fake -0.011992
[1352/5000][495/535][139541] Loss_D: -0.019994 Loss_G: -0.001546 Loss_D_real: -0.010905 Loss_D_fake 0.009089
[1352/5000][500/535][139542] Loss_D: -0.020026 Loss_G: -0.003115 Loss_D_real: -0.015488 Loss_D_fake 0.004538
[1352/5000][505/535][139543] Loss_D: -0.020035 Loss_G: 0.015440 Loss_D_real: -0.016460 Loss_D_fake 0.003575
[1352/5000][510/535][139544] Loss_D: -0.020793 Loss_G: 0.004971 Loss_D_real: -0.019177 Loss_D_fake 0.001616
[1352/5000][515/535][139545] Loss_D: -0.019721 Loss_G: 0.000537 Loss_D_real: 0.003427 Loss_D_fake 0.023148
[1352/5000][520/535][139546] Loss_D: -0.019964 Loss_G: 0.005907 Loss_D_real: -0.012695 Loss_D_fake 0.007269
[1352/5000][525/535][139547] Loss_D: -0.019277 Loss_G: 0.022609 Loss_D_real: -0.015005 Loss_D_fake 0.004272
[1352/5000][530/535][139548] Loss_D: -0.020334 Loss_G: -0.003986 Loss_D_real: 0.003229 Loss_D_fake 0.023563
[1352/5000][535/535][139549] Loss_D: -0.019775 Loss_G: 0.045251 Loss_D_real: -0.016711 Loss_D_fake 0.003064
[1353/5000][5/535][139550] Loss_D: -0.019671 Loss_G: -0.019515 Loss_D_real: -0.009832 Loss_D_fake 0.009839
[1353/5000][10/535][139551] Loss_D: -0.020368 Loss_G: 0.011485 Loss_D_real: -0.020313 Loss_D_fake 0.000056
[1353/5000][15/535][139552] Loss_D: -0.019727 Loss_G: -0.012410 Loss_D_real: 0.004785 Loss_D_fake 0.024513
[1353/5000][20/535][139553] Loss_D: -0.019876 Loss_G: 0.001605 Loss_D_real: -0.014614 Loss_D_fake 0.005262
[1353/5000][25/535][139554] Loss_D: -0.018191 Loss_G: -0.005750 Loss_D_real: -0.001715 Loss_D_fake 0.016477
[1353/5000][30/535][139555] Loss_D: -0.020348 Loss_G: -0.007843 Loss_D_real: 0.001755 Loss_D_fake 0.022103
[1353/5000][35/535][139556] Loss_D: -0.019245 Loss_G: 0.002633 Loss_D_real: -0.009200 Loss_D_fake 0.010045
[1353/5000][40/535][139557] Loss_D: -0.019872 Loss_G: -0.007245 Loss_D_real: -0.014423 Loss_D_fake 0.005449
[1353/5000][45/535][139558] Loss_D: -0.019519 Loss_G: 0.027816 Loss_D_real: -0.013713 Loss_D_fake 0.005806
[1353/5000][50/535][139559] Loss_D: -0.020649 Loss_G: 0.003927 Loss_D_real: -0.008127 Loss_D_fake 0.012522
[1353/5000][55/535][139560] Loss_D: -0.018102 Loss_G: 0.016708 Loss_D_real: -0.020008 Loss_D_fake -0.001905
[1353/5000][60/535][139561] Loss_D: -0.019652 Loss_G: 0.009498 Loss_D_real: -0.005977 Loss_D_fake 0.013675
[1353/5000][65/535][139562] Loss_D: -0.019667 Loss_G: 0.003614 Loss_D_real: -0.010587 Loss_D_fake 0.009080
[1353/5000][70/535][139563] Loss_D: -0.019342 Loss_G: -0.009928 Loss_D_real: 0.004667 Loss_D_fake 0.024009
[1353/5000][75/535][139564] Loss_D: -0.020608 Loss_G: 0.013102 Loss_D_real: -0.015044 Loss_D_fake 0.005564
[1353/5000][80/535][139565] Loss_D: -0.020110 Loss_G: 0.015440 Loss_D_real: -0.007505 Loss_D_fake 0.012605
[1353/5000][85/535][139566] Loss_D: -0.020280 Loss_G: 0.003760 Loss_D_real: -0.032126 Loss_D_fake -0.011845
[1353/5000][90/535][139567] Loss_D: -0.018870 Loss_G: 0.017902 Loss_D_real: -0.029174 Loss_D_fake -0.010304
[1353/5000][95/535][139568] Loss_D: -0.018833 Loss_G: 0.004171 Loss_D_real: -0.018690 Loss_D_fake 0.000144
[1353/5000][100/535][139569] Loss_D: -0.019898 Loss_G: 0.009008 Loss_D_real: -0.015321 Loss_D_fake 0.004577
[1353/5000][105/535][139570] Loss_D: -0.019543 Loss_G: 0.000186 Loss_D_real: 0.000379 Loss_D_fake 0.019922
[1353/5000][110/535][139571] Loss_D: -0.019610 Loss_G: 0.001194 Loss_D_real: -0.002275 Loss_D_fake 0.017335
[1353/5000][115/535][139572] Loss_D: -0.020109 Loss_G: 0.016366 Loss_D_real: -0.018184 Loss_D_fake 0.001925
[1353/5000][120/535][139573] Loss_D: -0.019912 Loss_G: 0.005281 Loss_D_real: -0.005312 Loss_D_fake 0.014600
[1353/5000][125/535][139574] Loss_D: -0.019150 Loss_G: 0.025986 Loss_D_real: -0.031871 Loss_D_fake -0.012720
[1353/5000][130/535][139575] Loss_D: -0.019525 Loss_G: 0.013201 Loss_D_real: -0.024645 Loss_D_fake -0.005120
[1353/5000][135/535][139576] Loss_D: -0.018986 Loss_G: 0.011692 Loss_D_real: -0.021655 Loss_D_fake -0.002669
[1353/5000][140/535][139577] Loss_D: -0.019812 Loss_G: -0.003224 Loss_D_real: -0.015731 Loss_D_fake 0.004081
[1353/5000][145/535][139578] Loss_D: -0.017169 Loss_G: -0.022331 Loss_D_real: 0.006837 Loss_D_fake 0.024006
[1353/5000][150/535][139579] Loss_D: -0.019538 Loss_G: -0.001391 Loss_D_real: -0.001290 Loss_D_fake 0.018249
[1353/5000][155/535][139580] Loss_D: -0.020747 Loss_G: 0.016443 Loss_D_real: -0.017205 Loss_D_fake 0.003542
[1353/5000][160/535][139581] Loss_D: -0.020669 Loss_G: 0.034810 Loss_D_real: -0.010856 Loss_D_fake 0.009813
[1353/5000][165/535][139582] Loss_D: -0.021190 Loss_G: 0.013202 Loss_D_real: -0.025067 Loss_D_fake -0.003877
[1353/5000][170/535][139583] Loss_D: -0.018684 Loss_G: 0.016024 Loss_D_real: -0.015189 Loss_D_fake 0.003495
[1353/5000][175/535][139584] Loss_D: -0.019651 Loss_G: 0.005382 Loss_D_real: -0.009221 Loss_D_fake 0.010430
[1353/5000][180/535][139585] Loss_D: -0.018035 Loss_G: 0.017636 Loss_D_real: -0.021152 Loss_D_fake -0.003116
[1353/5000][185/535][139586] Loss_D: -0.020768 Loss_G: -0.002688 Loss_D_real: -0.021018 Loss_D_fake -0.000250
[1353/5000][190/535][139587] Loss_D: -0.020011 Loss_G: 0.001532 Loss_D_real: -0.005626 Loss_D_fake 0.014385
[1353/5000][195/535][139588] Loss_D: -0.019584 Loss_G: 0.019126 Loss_D_real: -0.027651 Loss_D_fake -0.008067
[1353/5000][200/535][139589] Loss_D: -0.019488 Loss_G: 0.010449 Loss_D_real: -0.010990 Loss_D_fake 0.008498
[1353/5000][205/535][139590] Loss_D: -0.018578 Loss_G: 0.029442 Loss_D_real: -0.018322 Loss_D_fake 0.000256
[1353/5000][210/535][139591] Loss_D: -0.018595 Loss_G: -0.000428 Loss_D_real: -0.012975 Loss_D_fake 0.005620
[1353/5000][215/535][139592] Loss_D: -0.019021 Loss_G: 0.011299 Loss_D_real: -0.021100 Loss_D_fake -0.002079
[1353/5000][220/535][139593] Loss_D: -0.019589 Loss_G: 0.004023 Loss_D_real: -0.011319 Loss_D_fake 0.008270
[1353/5000][225/535][139594] Loss_D: -0.020173 Loss_G: 0.022140 Loss_D_real: -0.030028 Loss_D_fake -0.009856
[1353/5000][230/535][139595] Loss_D: -0.020676 Loss_G: 0.010613 Loss_D_real: -0.003901 Loss_D_fake 0.016775
[1353/5000][235/535][139596] Loss_D: -0.020372 Loss_G: -0.009906 Loss_D_real: -0.010903 Loss_D_fake 0.009469
[1353/5000][240/535][139597] Loss_D: -0.017864 Loss_G: 0.006193 Loss_D_real: -0.017097 Loss_D_fake 0.000767
[1353/5000][245/535][139598] Loss_D: -0.020857 Loss_G: -0.006707 Loss_D_real: -0.005250 Loss_D_fake 0.015607
[1353/5000][250/535][139599] Loss_D: -0.019872 Loss_G: 0.013012 Loss_D_real: -0.004697 Loss_D_fake 0.015175
[1353/5000][255/535][139600] Loss_D: -0.019133 Loss_G: 0.000401 Loss_D_real: -0.011814 Loss_D_fake 0.007319
[1353/5000][260/535][139601] Loss_D: -0.019390 Loss_G: 0.006987 Loss_D_real: -0.005941 Loss_D_fake 0.013448
[1353/5000][265/535][139602] Loss_D: -0.019263 Loss_G: 0.011159 Loss_D_real: -0.011860 Loss_D_fake 0.007403
[1353/5000][270/535][139603] Loss_D: -0.017715 Loss_G: 0.028763 Loss_D_real: -0.036658 Loss_D_fake -0.018943
[1353/5000][275/535][139604] Loss_D: -0.019226 Loss_G: -0.009128 Loss_D_real: -0.004576 Loss_D_fake 0.014650
[1353/5000][280/535][139605] Loss_D: -0.021124 Loss_G: 0.025287 Loss_D_real: -0.017493 Loss_D_fake 0.003631
[1353/5000][285/535][139606] Loss_D: -0.018613 Loss_G: 0.001084 Loss_D_real: -0.012577 Loss_D_fake 0.006036
[1353/5000][290/535][139607] Loss_D: -0.019148 Loss_G: 0.009021 Loss_D_real: -0.019163 Loss_D_fake -0.000015
[1353/5000][295/535][139608] Loss_D: -0.019532 Loss_G: 0.011673 Loss_D_real: -0.020996 Loss_D_fake -0.001464
[1353/5000][300/535][139609] Loss_D: -0.020139 Loss_G: 0.015809 Loss_D_real: -0.031888 Loss_D_fake -0.011749
[1353/5000][305/535][139610] Loss_D: -0.019848 Loss_G: 0.018458 Loss_D_real: -0.004349 Loss_D_fake 0.015499
[1353/5000][310/535][139611] Loss_D: -0.020526 Loss_G: 0.020685 Loss_D_real: -0.010074 Loss_D_fake 0.010452
[1353/5000][315/535][139612] Loss_D: -0.019166 Loss_G: 0.001104 Loss_D_real: -0.017004 Loss_D_fake 0.002162
[1353/5000][320/535][139613] Loss_D: -0.018591 Loss_G: -0.006303 Loss_D_real: -0.008549 Loss_D_fake 0.010041
[1353/5000][325/535][139614] Loss_D: -0.019977 Loss_G: 0.008498 Loss_D_real: -0.015262 Loss_D_fake 0.004715
[1353/5000][330/535][139615] Loss_D: -0.019492 Loss_G: -0.006212 Loss_D_real: -0.008573 Loss_D_fake 0.010918
[1353/5000][335/535][139616] Loss_D: -0.019286 Loss_G: 0.021334 Loss_D_real: -0.031773 Loss_D_fake -0.012487
[1353/5000][340/535][139617] Loss_D: -0.019251 Loss_G: -0.001649 Loss_D_real: -0.001916 Loss_D_fake 0.017335
[1353/5000][345/535][139618] Loss_D: -0.019381 Loss_G: -0.000866 Loss_D_real: -0.011708 Loss_D_fake 0.007673
[1353/5000][350/535][139619] Loss_D: -0.020193 Loss_G: 0.008034 Loss_D_real: -0.012799 Loss_D_fake 0.007393
[1353/5000][355/535][139620] Loss_D: -0.019157 Loss_G: 0.016668 Loss_D_real: -0.020630 Loss_D_fake -0.001473
[1353/5000][360/535][139621] Loss_D: -0.019973 Loss_G: 0.009296 Loss_D_real: -0.007994 Loss_D_fake 0.011980
[1353/5000][365/535][139622] Loss_D: -0.020735 Loss_G: -0.000387 Loss_D_real: 0.000307 Loss_D_fake 0.021042
[1353/5000][370/535][139623] Loss_D: -0.022547 Loss_G: -0.005792 Loss_D_real: -0.021595 Loss_D_fake 0.000952
[1353/5000][375/535][139624] Loss_D: -0.017015 Loss_G: 0.036180 Loss_D_real: -0.034171 Loss_D_fake -0.017156
[1353/5000][380/535][139625] Loss_D: -0.020358 Loss_G: 0.008190 Loss_D_real: -0.015817 Loss_D_fake 0.004541
[1353/5000][385/535][139626] Loss_D: -0.020924 Loss_G: -0.006960 Loss_D_real: -0.005853 Loss_D_fake 0.015071
[1353/5000][390/535][139627] Loss_D: -0.020120 Loss_G: 0.003471 Loss_D_real: -0.016476 Loss_D_fake 0.003644
[1353/5000][395/535][139628] Loss_D: -0.021362 Loss_G: 0.024320 Loss_D_real: -0.025804 Loss_D_fake -0.004442
[1353/5000][400/535][139629] Loss_D: -0.017918 Loss_G: 0.021495 Loss_D_real: -0.022606 Loss_D_fake -0.004687
[1353/5000][405/535][139630] Loss_D: -0.020210 Loss_G: 0.008244 Loss_D_real: -0.022844 Loss_D_fake -0.002634
[1353/5000][410/535][139631] Loss_D: -0.020554 Loss_G: 0.003234 Loss_D_real: -0.002918 Loss_D_fake 0.017636
[1353/5000][415/535][139632] Loss_D: -0.020475 Loss_G: 0.012605 Loss_D_real: -0.019085 Loss_D_fake 0.001390
[1353/5000][420/535][139633] Loss_D: -0.021638 Loss_G: 0.015267 Loss_D_real: -0.010802 Loss_D_fake 0.010836
[1353/5000][425/535][139634] Loss_D: -0.019064 Loss_G: 0.002862 Loss_D_real: -0.019557 Loss_D_fake -0.000492
[1353/5000][430/535][139635] Loss_D: -0.019524 Loss_G: 0.016770 Loss_D_real: -0.024217 Loss_D_fake -0.004693
[1353/5000][435/535][139636] Loss_D: -0.018825 Loss_G: 0.011051 Loss_D_real: -0.022486 Loss_D_fake -0.003660
[1353/5000][440/535][139637] Loss_D: -0.019535 Loss_G: -0.010208 Loss_D_real: -0.014552 Loss_D_fake 0.004983
[1353/5000][445/535][139638] Loss_D: -0.018719 Loss_G: -0.010166 Loss_D_real: 0.010078 Loss_D_fake 0.028797
[1353/5000][450/535][139639] Loss_D: -0.021043 Loss_G: 0.014132 Loss_D_real: -0.006557 Loss_D_fake 0.014486
[1353/5000][455/535][139640] Loss_D: -0.019615 Loss_G: -0.001905 Loss_D_real: -0.019329 Loss_D_fake 0.000286
[1353/5000][460/535][139641] Loss_D: -0.020743 Loss_G: 0.010031 Loss_D_real: -0.022936 Loss_D_fake -0.002193
[1353/5000][465/535][139642] Loss_D: -0.021165 Loss_G: 0.006577 Loss_D_real: -0.009589 Loss_D_fake 0.011576
[1353/5000][470/535][139643] Loss_D: -0.021701 Loss_G: 0.026866 Loss_D_real: -0.022113 Loss_D_fake -0.000412
[1353/5000][475/535][139644] Loss_D: -0.020579 Loss_G: -0.005383 Loss_D_real: -0.013493 Loss_D_fake 0.007086
[1353/5000][480/535][139645] Loss_D: -0.018057 Loss_G: 0.024873 Loss_D_real: -0.031639 Loss_D_fake -0.013582
[1353/5000][485/535][139646] Loss_D: -0.020035 Loss_G: -0.012840 Loss_D_real: -0.009900 Loss_D_fake 0.010135
[1353/5000][490/535][139647] Loss_D: -0.019421 Loss_G: -0.003332 Loss_D_real: -0.016323 Loss_D_fake 0.003098
[1353/5000][495/535][139648] Loss_D: -0.019954 Loss_G: -0.004540 Loss_D_real: -0.000407 Loss_D_fake 0.019547
[1353/5000][500/535][139649] Loss_D: -0.020443 Loss_G: 0.010882 Loss_D_real: -0.020554 Loss_D_fake -0.000111
[1353/5000][505/535][139650] Loss_D: -0.021048 Loss_G: 0.017195 Loss_D_real: -0.018987 Loss_D_fake 0.002061
[1353/5000][510/535][139651] Loss_D: -0.021257 Loss_G: 0.012777 Loss_D_real: -0.019779 Loss_D_fake 0.001478
[1353/5000][515/535][139652] Loss_D: -0.018809 Loss_G: 0.024270 Loss_D_real: -0.030647 Loss_D_fake -0.011838
[1353/5000][520/535][139653] Loss_D: -0.019276 Loss_G: -0.006596 Loss_D_real: -0.001869 Loss_D_fake 0.017407
[1353/5000][525/535][139654] Loss_D: -0.020365 Loss_G: -0.000340 Loss_D_real: -0.016838 Loss_D_fake 0.003527
[1353/5000][530/535][139655] Loss_D: -0.019938 Loss_G: 0.003848 Loss_D_real: -0.012049 Loss_D_fake 0.007889
[1353/5000][535/535][139656] Loss_D: -0.018334 Loss_G: -0.005898 Loss_D_real: -0.003867 Loss_D_fake 0.014468
[1354/5000][5/535][139657] Loss_D: -0.020060 Loss_G: 0.018358 Loss_D_real: -0.020443 Loss_D_fake -0.000383
[1354/5000][10/535][139658] Loss_D: -0.019703 Loss_G: -0.000938 Loss_D_real: -0.012516 Loss_D_fake 0.007188
[1354/5000][15/535][139659] Loss_D: -0.019705 Loss_G: 0.007826 Loss_D_real: -0.018875 Loss_D_fake 0.000830
[1354/5000][20/535][139660] Loss_D: -0.019560 Loss_G: 0.019382 Loss_D_real: -0.026087 Loss_D_fake -0.006527
[1354/5000][25/535][139661] Loss_D: -0.020153 Loss_G: -0.014863 Loss_D_real: -0.002502 Loss_D_fake 0.017651
[1354/5000][30/535][139662] Loss_D: -0.019481 Loss_G: 0.022300 Loss_D_real: -0.012676 Loss_D_fake 0.006806
[1354/5000][35/535][139663] Loss_D: -0.019649 Loss_G: 0.013716 Loss_D_real: -0.016142 Loss_D_fake 0.003508
[1354/5000][40/535][139664] Loss_D: -0.019775 Loss_G: 0.007380 Loss_D_real: -0.021936 Loss_D_fake -0.002161
[1354/5000][45/535][139665] Loss_D: -0.019580 Loss_G: 0.015185 Loss_D_real: -0.018327 Loss_D_fake 0.001253
[1354/5000][50/535][139666] Loss_D: -0.019527 Loss_G: 0.001169 Loss_D_real: -0.007329 Loss_D_fake 0.012198
[1354/5000][55/535][139667] Loss_D: -0.019395 Loss_G: 0.000577 Loss_D_real: -0.011469 Loss_D_fake 0.007926
[1354/5000][60/535][139668] Loss_D: -0.018757 Loss_G: -0.001907 Loss_D_real: -0.015350 Loss_D_fake 0.003407
[1354/5000][65/535][139669] Loss_D: -0.020486 Loss_G: 0.015413 Loss_D_real: -0.010467 Loss_D_fake 0.010018
[1354/5000][70/535][139670] Loss_D: -0.020000 Loss_G: 0.014627 Loss_D_real: -0.012382 Loss_D_fake 0.007618
[1354/5000][75/535][139671] Loss_D: -0.018999 Loss_G: 0.023582 Loss_D_real: -0.026545 Loss_D_fake -0.007546
[1354/5000][80/535][139672] Loss_D: -0.020214 Loss_G: 0.001140 Loss_D_real: -0.001483 Loss_D_fake 0.018731
[1354/5000][85/535][139673] Loss_D: -0.020319 Loss_G: 0.007122 Loss_D_real: -0.025914 Loss_D_fake -0.005595
[1354/5000][90/535][139674] Loss_D: -0.019166 Loss_G: 0.009850 Loss_D_real: -0.035787 Loss_D_fake -0.016621
[1354/5000][95/535][139675] Loss_D: -0.020164 Loss_G: -0.005925 Loss_D_real: -0.013590 Loss_D_fake 0.006574
[1354/5000][100/535][139676] Loss_D: -0.020218 Loss_G: 0.001761 Loss_D_real: -0.020926 Loss_D_fake -0.000708
[1354/5000][105/535][139677] Loss_D: -0.019748 Loss_G: 0.012009 Loss_D_real: -0.011626 Loss_D_fake 0.008122
[1354/5000][110/535][139678] Loss_D: -0.021717 Loss_G: 0.000032 Loss_D_real: -0.012417 Loss_D_fake 0.009301
[1354/5000][115/535][139679] Loss_D: -0.019660 Loss_G: 0.020057 Loss_D_real: -0.028289 Loss_D_fake -0.008629
[1354/5000][120/535][139680] Loss_D: -0.019646 Loss_G: 0.015539 Loss_D_real: -0.017223 Loss_D_fake 0.002423
[1354/5000][125/535][139681] Loss_D: -0.018974 Loss_G: -0.006076 Loss_D_real: -0.004527 Loss_D_fake 0.014447
[1354/5000][130/535][139682] Loss_D: -0.019678 Loss_G: 0.014946 Loss_D_real: -0.018686 Loss_D_fake 0.000992
[1354/5000][135/535][139683] Loss_D: -0.019961 Loss_G: 0.014476 Loss_D_real: -0.019936 Loss_D_fake 0.000025
[1354/5000][140/535][139684] Loss_D: -0.018434 Loss_G: -0.014550 Loss_D_real: -0.004793 Loss_D_fake 0.013641
[1354/5000][145/535][139685] Loss_D: -0.019824 Loss_G: 0.012004 Loss_D_real: -0.022329 Loss_D_fake -0.002505
[1354/5000][150/535][139686] Loss_D: -0.018887 Loss_G: 0.015925 Loss_D_real: -0.015312 Loss_D_fake 0.003575
[1354/5000][155/535][139687] Loss_D: -0.019017 Loss_G: -0.014991 Loss_D_real: -0.000720 Loss_D_fake 0.018297
[1354/5000][160/535][139688] Loss_D: -0.018758 Loss_G: 0.022210 Loss_D_real: -0.022452 Loss_D_fake -0.003694
[1354/5000][165/535][139689] Loss_D: -0.019137 Loss_G: 0.014864 Loss_D_real: -0.017398 Loss_D_fake 0.001739
[1354/5000][170/535][139690] Loss_D: -0.018089 Loss_G: -0.004649 Loss_D_real: 0.003910 Loss_D_fake 0.021999
[1354/5000][175/535][139691] Loss_D: -0.019468 Loss_G: 0.001391 Loss_D_real: -0.012673 Loss_D_fake 0.006795
[1354/5000][180/535][139692] Loss_D: -0.018190 Loss_G: -0.000123 Loss_D_real: -0.010630 Loss_D_fake 0.007560
[1354/5000][185/535][139693] Loss_D: -0.019806 Loss_G: 0.002005 Loss_D_real: -0.019298 Loss_D_fake 0.000508
[1354/5000][190/535][139694] Loss_D: -0.019790 Loss_G: 0.009673 Loss_D_real: -0.013907 Loss_D_fake 0.005883
[1354/5000][195/535][139695] Loss_D: -0.019297 Loss_G: 0.005303 Loss_D_real: -0.011150 Loss_D_fake 0.008147
[1354/5000][200/535][139696] Loss_D: -0.019247 Loss_G: 0.007435 Loss_D_real: -0.021922 Loss_D_fake -0.002675
[1354/5000][205/535][139697] Loss_D: -0.020192 Loss_G: -0.002072 Loss_D_real: -0.008691 Loss_D_fake 0.011501
[1354/5000][210/535][139698] Loss_D: -0.019220 Loss_G: 0.026460 Loss_D_real: -0.027785 Loss_D_fake -0.008565
[1354/5000][215/535][139699] Loss_D: -0.018832 Loss_G: -0.013548 Loss_D_real: -0.000209 Loss_D_fake 0.018623
[1354/5000][220/535][139700] Loss_D: -0.019644 Loss_G: 0.006108 Loss_D_real: -0.009796 Loss_D_fake 0.009848
[1354/5000][225/535][139701] Loss_D: -0.018888 Loss_G: 0.010328 Loss_D_real: -0.012740 Loss_D_fake 0.006149
[1354/5000][230/535][139702] Loss_D: -0.019209 Loss_G: 0.017031 Loss_D_real: -0.009298 Loss_D_fake 0.009911
[1354/5000][235/535][139703] Loss_D: -0.019462 Loss_G: 0.018789 Loss_D_real: -0.006703 Loss_D_fake 0.012759
[1354/5000][240/535][139704] Loss_D: -0.020644 Loss_G: -0.000967 Loss_D_real: -0.011640 Loss_D_fake 0.009004
[1354/5000][245/535][139705] Loss_D: -0.021934 Loss_G: 0.003080 Loss_D_real: -0.008749 Loss_D_fake 0.013186
[1354/5000][250/535][139706] Loss_D: -0.021455 Loss_G: -0.004198 Loss_D_real: -0.012132 Loss_D_fake 0.009324
[1354/5000][255/535][139707] Loss_D: -0.020497 Loss_G: 0.028051 Loss_D_real: -0.030796 Loss_D_fake -0.010298
[1354/5000][260/535][139708] Loss_D: -0.021616 Loss_G: 0.011404 Loss_D_real: -0.009734 Loss_D_fake 0.011882
[1354/5000][265/535][139709] Loss_D: -0.018706 Loss_G: 0.004346 Loss_D_real: -0.005105 Loss_D_fake 0.013601
[1354/5000][270/535][139710] Loss_D: -0.020292 Loss_G: 0.003529 Loss_D_real: -0.026400 Loss_D_fake -0.006108
[1354/5000][275/535][139711] Loss_D: -0.020054 Loss_G: 0.004674 Loss_D_real: -0.014686 Loss_D_fake 0.005368
[1354/5000][280/535][139712] Loss_D: -0.020587 Loss_G: 0.017283 Loss_D_real: -0.023938 Loss_D_fake -0.003351
[1354/5000][285/535][139713] Loss_D: -0.020521 Loss_G: 0.010941 Loss_D_real: -0.008396 Loss_D_fake 0.012125
[1354/5000][290/535][139714] Loss_D: -0.019437 Loss_G: 0.000129 Loss_D_real: -0.021935 Loss_D_fake -0.002497
[1354/5000][295/535][139715] Loss_D: -0.019713 Loss_G: -0.002003 Loss_D_real: -0.015425 Loss_D_fake 0.004288
[1354/5000][300/535][139716] Loss_D: -0.019670 Loss_G: 0.021628 Loss_D_real: -0.023651 Loss_D_fake -0.003981
[1354/5000][305/535][139717] Loss_D: -0.020078 Loss_G: 0.009116 Loss_D_real: -0.006792 Loss_D_fake 0.013286
[1354/5000][310/535][139718] Loss_D: -0.018845 Loss_G: -0.011975 Loss_D_real: -0.004471 Loss_D_fake 0.014374
[1354/5000][315/535][139719] Loss_D: -0.019526 Loss_G: 0.020750 Loss_D_real: -0.028091 Loss_D_fake -0.008565
[1354/5000][320/535][139720] Loss_D: -0.019134 Loss_G: 0.028754 Loss_D_real: -0.022733 Loss_D_fake -0.003599
[1354/5000][325/535][139721] Loss_D: -0.020385 Loss_G: 0.009098 Loss_D_real: -0.014737 Loss_D_fake 0.005649
[1354/5000][330/535][139722] Loss_D: -0.019180 Loss_G: -0.001653 Loss_D_real: -0.016382 Loss_D_fake 0.002798
[1354/5000][335/535][139723] Loss_D: -0.019456 Loss_G: 0.011919 Loss_D_real: -0.016840 Loss_D_fake 0.002616
[1354/5000][340/535][139724] Loss_D: -0.018837 Loss_G: -0.012199 Loss_D_real: -0.001776 Loss_D_fake 0.017060
[1354/5000][345/535][139725] Loss_D: -0.020891 Loss_G: 0.016132 Loss_D_real: -0.022390 Loss_D_fake -0.001499
[1354/5000][350/535][139726] Loss_D: -0.019411 Loss_G: -0.007323 Loss_D_real: -0.004008 Loss_D_fake 0.015402
[1354/5000][355/535][139727] Loss_D: -0.019598 Loss_G: 0.008634 Loss_D_real: -0.017325 Loss_D_fake 0.002273
[1354/5000][360/535][139728] Loss_D: -0.020495 Loss_G: 0.010262 Loss_D_real: -0.013813 Loss_D_fake 0.006683
[1354/5000][365/535][139729] Loss_D: -0.019255 Loss_G: -0.004767 Loss_D_real: -0.009523 Loss_D_fake 0.009732
[1354/5000][370/535][139730] Loss_D: -0.020135 Loss_G: 0.017750 Loss_D_real: -0.007927 Loss_D_fake 0.012208
[1354/5000][375/535][139731] Loss_D: -0.020051 Loss_G: 0.003854 Loss_D_real: -0.012277 Loss_D_fake 0.007774
[1354/5000][380/535][139732] Loss_D: -0.019982 Loss_G: 0.009306 Loss_D_real: -0.005946 Loss_D_fake 0.014036
[1354/5000][385/535][139733] Loss_D: -0.019769 Loss_G: 0.013666 Loss_D_real: -0.005227 Loss_D_fake 0.014541
[1354/5000][390/535][139734] Loss_D: -0.019035 Loss_G: -0.006275 Loss_D_real: -0.015572 Loss_D_fake 0.003463
[1354/5000][395/535][139735] Loss_D: -0.018072 Loss_G: -0.003564 Loss_D_real: -0.004440 Loss_D_fake 0.013632
[1354/5000][400/535][139736] Loss_D: -0.018335 Loss_G: 0.015324 Loss_D_real: -0.023815 Loss_D_fake -0.005480
[1354/5000][405/535][139737] Loss_D: -0.019694 Loss_G: -0.014819 Loss_D_real: 0.001901 Loss_D_fake 0.021595
[1354/5000][410/535][139738] Loss_D: -0.021035 Loss_G: 0.002205 Loss_D_real: -0.012171 Loss_D_fake 0.008864
[1354/5000][415/535][139739] Loss_D: -0.019829 Loss_G: 0.018008 Loss_D_real: -0.011564 Loss_D_fake 0.008265
[1354/5000][420/535][139740] Loss_D: -0.019279 Loss_G: 0.016800 Loss_D_real: -0.020245 Loss_D_fake -0.000966
[1354/5000][425/535][139741] Loss_D: -0.018435 Loss_G: 0.025796 Loss_D_real: -0.025121 Loss_D_fake -0.006686
[1354/5000][430/535][139742] Loss_D: -0.019796 Loss_G: -0.001321 Loss_D_real: -0.007691 Loss_D_fake 0.012106
[1354/5000][435/535][139743] Loss_D: -0.018173 Loss_G: 0.011688 Loss_D_real: -0.006938 Loss_D_fake 0.011235
[1354/5000][440/535][139744] Loss_D: -0.019143 Loss_G: 0.007321 Loss_D_real: -0.010450 Loss_D_fake 0.008693
[1354/5000][445/535][139745] Loss_D: -0.020306 Loss_G: 0.005231 Loss_D_real: -0.015107 Loss_D_fake 0.005199
[1354/5000][450/535][139746] Loss_D: -0.019796 Loss_G: -0.002983 Loss_D_real: -0.014344 Loss_D_fake 0.005452
[1354/5000][455/535][139747] Loss_D: -0.020329 Loss_G: 0.010882 Loss_D_real: -0.024189 Loss_D_fake -0.003860
[1354/5000][460/535][139748] Loss_D: -0.018939 Loss_G: -0.012851 Loss_D_real: -0.002813 Loss_D_fake 0.016126
[1354/5000][465/535][139749] Loss_D: -0.019157 Loss_G: 0.000366 Loss_D_real: -0.008597 Loss_D_fake 0.010560
[1354/5000][470/535][139750] Loss_D: -0.019108 Loss_G: 0.028892 Loss_D_real: -0.028462 Loss_D_fake -0.009354
[1354/5000][475/535][139751] Loss_D: -0.018805 Loss_G: 0.024832 Loss_D_real: -0.018499 Loss_D_fake 0.000306
[1354/5000][480/535][139752] Loss_D: -0.019845 Loss_G: 0.005090 Loss_D_real: -0.016843 Loss_D_fake 0.003002
[1354/5000][485/535][139753] Loss_D: -0.019739 Loss_G: 0.009438 Loss_D_real: -0.018630 Loss_D_fake 0.001109
[1354/5000][490/535][139754] Loss_D: -0.019969 Loss_G: 0.006460 Loss_D_real: -0.026724 Loss_D_fake -0.006755
[1354/5000][495/535][139755] Loss_D: -0.021043 Loss_G: 0.005505 Loss_D_real: -0.021551 Loss_D_fake -0.000507
[1354/5000][500/535][139756] Loss_D: -0.020923 Loss_G: 0.018996 Loss_D_real: -0.020473 Loss_D_fake 0.000450
[1354/5000][505/535][139757] Loss_D: -0.020721 Loss_G: -0.000905 Loss_D_real: -0.016932 Loss_D_fake 0.003790
[1354/5000][510/535][139758] Loss_D: -0.020018 Loss_G: -0.016214 Loss_D_real: -0.006938 Loss_D_fake 0.013079
[1354/5000][515/535][139759] Loss_D: -0.020995 Loss_G: 0.001658 Loss_D_real: -0.013453 Loss_D_fake 0.007542
[1354/5000][520/535][139760] Loss_D: -0.019249 Loss_G: -0.006608 Loss_D_real: 0.003349 Loss_D_fake 0.022599
[1354/5000][525/535][139761] Loss_D: -0.020224 Loss_G: 0.012221 Loss_D_real: -0.007304 Loss_D_fake 0.012920
[1354/5000][530/535][139762] Loss_D: -0.020820 Loss_G: 0.011556 Loss_D_real: -0.021127 Loss_D_fake -0.000307
[1354/5000][535/535][139763] Loss_D: -0.022503 Loss_G: 0.024189 Loss_D_real: -0.020447 Loss_D_fake 0.002056
[1355/5000][5/535][139764] Loss_D: -0.020911 Loss_G: 0.004831 Loss_D_real: -0.022393 Loss_D_fake -0.001482
[1355/5000][10/535][139765] Loss_D: -0.019987 Loss_G: 0.010750 Loss_D_real: -0.015586 Loss_D_fake 0.004401
[1355/5000][15/535][139766] Loss_D: -0.018866 Loss_G: 0.026686 Loss_D_real: -0.021394 Loss_D_fake -0.002529
[1355/5000][20/535][139767] Loss_D: -0.018189 Loss_G: 0.021910 Loss_D_real: -0.027577 Loss_D_fake -0.009389
[1355/5000][25/535][139768] Loss_D: -0.020353 Loss_G: 0.010597 Loss_D_real: -0.027304 Loss_D_fake -0.006951
[1355/5000][30/535][139769] Loss_D: -0.020315 Loss_G: 0.005661 Loss_D_real: -0.026395 Loss_D_fake -0.006080
[1355/5000][35/535][139770] Loss_D: -0.020086 Loss_G: 0.007433 Loss_D_real: -0.013653 Loss_D_fake 0.006433
[1355/5000][40/535][139771] Loss_D: -0.021869 Loss_G: 0.011649 Loss_D_real: -0.018991 Loss_D_fake 0.002878
[1355/5000][45/535][139772] Loss_D: -0.019213 Loss_G: -0.009687 Loss_D_real: 0.000530 Loss_D_fake 0.019743
[1355/5000][50/535][139773] Loss_D: -0.018226 Loss_G: -0.007891 Loss_D_real: -0.004356 Loss_D_fake 0.013870
[1355/5000][55/535][139774] Loss_D: -0.018905 Loss_G: 0.004338 Loss_D_real: -0.012542 Loss_D_fake 0.006362
[1355/5000][60/535][139775] Loss_D: -0.020700 Loss_G: -0.002719 Loss_D_real: -0.002362 Loss_D_fake 0.018339
[1355/5000][65/535][139776] Loss_D: -0.019509 Loss_G: 0.007837 Loss_D_real: -0.016910 Loss_D_fake 0.002599
[1355/5000][70/535][139777] Loss_D: -0.020005 Loss_G: -0.003936 Loss_D_real: -0.014629 Loss_D_fake 0.005376
[1355/5000][75/535][139778] Loss_D: -0.018162 Loss_G: 0.023005 Loss_D_real: -0.024848 Loss_D_fake -0.006686
[1355/5000][80/535][139779] Loss_D: -0.020312 Loss_G: 0.005059 Loss_D_real: -0.025819 Loss_D_fake -0.005507
[1355/5000][85/535][139780] Loss_D: -0.019607 Loss_G: 0.013542 Loss_D_real: -0.022357 Loss_D_fake -0.002750
[1355/5000][90/535][139781] Loss_D: -0.020122 Loss_G: 0.012649 Loss_D_real: -0.020483 Loss_D_fake -0.000361
[1355/5000][95/535][139782] Loss_D: -0.020743 Loss_G: -0.009610 Loss_D_real: -0.008898 Loss_D_fake 0.011846
[1355/5000][100/535][139783] Loss_D: -0.019256 Loss_G: 0.001230 Loss_D_real: -0.001843 Loss_D_fake 0.017412
[1355/5000][105/535][139784] Loss_D: -0.019717 Loss_G: 0.025995 Loss_D_real: -0.019211 Loss_D_fake 0.000506
[1355/5000][110/535][139785] Loss_D: -0.021009 Loss_G: 0.004403 Loss_D_real: -0.016674 Loss_D_fake 0.004335
[1355/5000][115/535][139786] Loss_D: -0.019776 Loss_G: 0.007977 Loss_D_real: -0.015283 Loss_D_fake 0.004493
[1355/5000][120/535][139787] Loss_D: -0.020254 Loss_G: 0.015559 Loss_D_real: -0.017558 Loss_D_fake 0.002696
[1355/5000][125/535][139788] Loss_D: -0.019200 Loss_G: 0.008728 Loss_D_real: -0.013518 Loss_D_fake 0.005682
[1355/5000][130/535][139789] Loss_D: -0.019200 Loss_G: -0.008702 Loss_D_real: -0.015103 Loss_D_fake 0.004098
[1355/5000][135/535][139790] Loss_D: -0.018676 Loss_G: 0.004540 Loss_D_real: -0.025372 Loss_D_fake -0.006696
[1355/5000][140/535][139791] Loss_D: -0.020001 Loss_G: 0.007975 Loss_D_real: -0.030388 Loss_D_fake -0.010386
[1355/5000][145/535][139792] Loss_D: -0.019253 Loss_G: -0.007616 Loss_D_real: -0.000934 Loss_D_fake 0.018319
[1355/5000][150/535][139793] Loss_D: -0.019711 Loss_G: 0.003859 Loss_D_real: -0.005827 Loss_D_fake 0.013883
[1355/5000][155/535][139794] Loss_D: -0.020458 Loss_G: 0.024647 Loss_D_real: -0.019701 Loss_D_fake 0.000757
[1355/5000][160/535][139795] Loss_D: -0.019921 Loss_G: -0.004559 Loss_D_real: -0.004378 Loss_D_fake 0.015543
[1355/5000][165/535][139796] Loss_D: -0.020375 Loss_G: -0.004381 Loss_D_real: -0.016405 Loss_D_fake 0.003970
[1355/5000][170/535][139797] Loss_D: -0.018302 Loss_G: 0.027395 Loss_D_real: -0.025901 Loss_D_fake -0.007600
[1355/5000][175/535][139798] Loss_D: -0.015148 Loss_G: 0.029705 Loss_D_real: -0.030795 Loss_D_fake -0.015647
[1355/5000][180/535][139799] Loss_D: -0.019114 Loss_G: -0.004374 Loss_D_real: -0.011293 Loss_D_fake 0.007821
[1355/5000][185/535][139800] Loss_D: -0.019189 Loss_G: 0.005827 Loss_D_real: -0.018272 Loss_D_fake 0.000917
[1355/5000][190/535][139801] Loss_D: -0.021013 Loss_G: 0.018447 Loss_D_real: -0.021028 Loss_D_fake -0.000015
[1355/5000][195/535][139802] Loss_D: -0.020289 Loss_G: 0.008272 Loss_D_real: -0.018357 Loss_D_fake 0.001932
[1355/5000][200/535][139803] Loss_D: -0.019739 Loss_G: 0.015860 Loss_D_real: -0.031839 Loss_D_fake -0.012100
[1355/5000][205/535][139804] Loss_D: -0.019965 Loss_G: 0.025192 Loss_D_real: -0.016959 Loss_D_fake 0.003006
[1355/5000][210/535][139805] Loss_D: -0.021120 Loss_G: 0.002971 Loss_D_real: -0.021579 Loss_D_fake -0.000459
[1355/5000][215/535][139806] Loss_D: -0.019136 Loss_G: 0.010202 Loss_D_real: -0.022487 Loss_D_fake -0.003351
[1355/5000][220/535][139807] Loss_D: -0.019469 Loss_G: -0.009532 Loss_D_real: -0.013754 Loss_D_fake 0.005715
[1355/5000][225/535][139808] Loss_D: -0.019871 Loss_G: 0.002346 Loss_D_real: -0.013689 Loss_D_fake 0.006182
[1355/5000][230/535][139809] Loss_D: -0.019166 Loss_G: 0.012648 Loss_D_real: -0.025927 Loss_D_fake -0.006761
[1355/5000][235/535][139810] Loss_D: -0.018684 Loss_G: -0.008488 Loss_D_real: 0.001214 Loss_D_fake 0.019898
[1355/5000][240/535][139811] Loss_D: -0.019897 Loss_G: 0.012214 Loss_D_real: -0.021723 Loss_D_fake -0.001827
[1355/5000][245/535][139812] Loss_D: -0.019178 Loss_G: 0.016364 Loss_D_real: -0.028835 Loss_D_fake -0.009657
[1355/5000][250/535][139813] Loss_D: -0.019048 Loss_G: 0.014508 Loss_D_real: -0.030435 Loss_D_fake -0.011387
[1355/5000][255/535][139814] Loss_D: -0.019982 Loss_G: 0.021849 Loss_D_real: -0.018564 Loss_D_fake 0.001418
[1355/5000][260/535][139815] Loss_D: -0.020166 Loss_G: 0.014126 Loss_D_real: -0.023283 Loss_D_fake -0.003117
[1355/5000][265/535][139816] Loss_D: -0.020791 Loss_G: -0.002197 Loss_D_real: -0.015838 Loss_D_fake 0.004953
[1355/5000][270/535][139817] Loss_D: -0.019991 Loss_G: -0.006148 Loss_D_real: -0.006873 Loss_D_fake 0.013118
[1355/5000][275/535][139818] Loss_D: -0.020094 Loss_G: 0.009251 Loss_D_real: -0.014062 Loss_D_fake 0.006032
[1355/5000][280/535][139819] Loss_D: -0.020230 Loss_G: 0.000051 Loss_D_real: -0.011061 Loss_D_fake 0.009169
[1355/5000][285/535][139820] Loss_D: -0.019844 Loss_G: 0.001744 Loss_D_real: -0.008216 Loss_D_fake 0.011628
[1355/5000][290/535][139821] Loss_D: -0.018920 Loss_G: 0.012227 Loss_D_real: -0.013652 Loss_D_fake 0.005268
[1355/5000][295/535][139822] Loss_D: -0.018849 Loss_G: -0.012890 Loss_D_real: -0.000148 Loss_D_fake 0.018701
[1355/5000][300/535][139823] Loss_D: -0.019947 Loss_G: 0.001979 Loss_D_real: -0.017157 Loss_D_fake 0.002790
[1355/5000][305/535][139824] Loss_D: -0.019827 Loss_G: 0.018140 Loss_D_real: -0.031633 Loss_D_fake -0.011806
[1355/5000][310/535][139825] Loss_D: -0.019709 Loss_G: 0.008830 Loss_D_real: -0.030440 Loss_D_fake -0.010731
[1355/5000][315/535][139826] Loss_D: -0.020473 Loss_G: 0.005542 Loss_D_real: -0.017537 Loss_D_fake 0.002937
[1355/5000][320/535][139827] Loss_D: -0.018027 Loss_G: 0.023708 Loss_D_real: -0.032643 Loss_D_fake -0.014616
[1355/5000][325/535][139828] Loss_D: -0.019603 Loss_G: -0.006802 Loss_D_real: -0.013718 Loss_D_fake 0.005886
[1355/5000][330/535][139829] Loss_D: -0.020632 Loss_G: 0.012808 Loss_D_real: -0.015324 Loss_D_fake 0.005307
[1355/5000][335/535][139830] Loss_D: -0.019302 Loss_G: -0.006624 Loss_D_real: -0.009097 Loss_D_fake 0.010205
[1355/5000][340/535][139831] Loss_D: -0.018538 Loss_G: -0.018878 Loss_D_real: -0.008540 Loss_D_fake 0.009998
[1355/5000][345/535][139832] Loss_D: -0.019953 Loss_G: 0.003020 Loss_D_real: -0.004087 Loss_D_fake 0.015866
[1355/5000][350/535][139833] Loss_D: -0.018550 Loss_G: 0.008731 Loss_D_real: -0.007219 Loss_D_fake 0.011331
[1355/5000][355/535][139834] Loss_D: -0.020218 Loss_G: 0.002611 Loss_D_real: -0.006119 Loss_D_fake 0.014099
[1355/5000][360/535][139835] Loss_D: -0.018006 Loss_G: -0.019293 Loss_D_real: 0.000843 Loss_D_fake 0.018849
[1355/5000][365/535][139836] Loss_D: -0.019899 Loss_G: 0.025593 Loss_D_real: -0.019988 Loss_D_fake -0.000089
[1355/5000][370/535][139837] Loss_D: -0.020601 Loss_G: 0.006640 Loss_D_real: -0.013980 Loss_D_fake 0.006621
[1355/5000][375/535][139838] Loss_D: -0.018671 Loss_G: -0.005335 Loss_D_real: -0.003480 Loss_D_fake 0.015191
[1355/5000][380/535][139839] Loss_D: -0.018048 Loss_G: -0.000350 Loss_D_real: -0.008834 Loss_D_fake 0.009213
[1355/5000][385/535][139840] Loss_D: -0.019340 Loss_G: 0.015821 Loss_D_real: -0.018917 Loss_D_fake 0.000422
[1355/5000][390/535][139841] Loss_D: -0.019351 Loss_G: 0.005335 Loss_D_real: -0.020704 Loss_D_fake -0.001352
[1355/5000][395/535][139842] Loss_D: -0.018035 Loss_G: 0.001861 Loss_D_real: -0.027080 Loss_D_fake -0.009046
[1355/5000][400/535][139843] Loss_D: -0.020161 Loss_G: -0.002434 Loss_D_real: -0.003647 Loss_D_fake 0.016514
[1355/5000][405/535][139844] Loss_D: -0.019456 Loss_G: 0.020683 Loss_D_real: -0.023611 Loss_D_fake -0.004155
[1355/5000][410/535][139845] Loss_D: -0.019322 Loss_G: 0.005940 Loss_D_real: -0.007577 Loss_D_fake 0.011744
[1355/5000][415/535][139846] Loss_D: -0.018840 Loss_G: 0.010220 Loss_D_real: -0.026978 Loss_D_fake -0.008138
[1355/5000][420/535][139847] Loss_D: -0.020041 Loss_G: 0.003800 Loss_D_real: -0.027777 Loss_D_fake -0.007737
[1355/5000][425/535][139848] Loss_D: -0.019592 Loss_G: 0.006135 Loss_D_real: -0.015763 Loss_D_fake 0.003828
[1355/5000][430/535][139849] Loss_D: -0.018595 Loss_G: 0.015632 Loss_D_real: -0.011473 Loss_D_fake 0.007122
[1355/5000][435/535][139850] Loss_D: -0.020080 Loss_G: 0.004739 Loss_D_real: -0.016255 Loss_D_fake 0.003825
[1355/5000][440/535][139851] Loss_D: -0.017434 Loss_G: 0.029605 Loss_D_real: -0.036067 Loss_D_fake -0.018634
[1355/5000][445/535][139852] Loss_D: -0.020696 Loss_G: -0.000145 Loss_D_real: -0.009568 Loss_D_fake 0.011128
[1355/5000][450/535][139853] Loss_D: -0.019865 Loss_G: 0.009787 Loss_D_real: -0.017402 Loss_D_fake 0.002462
[1355/5000][455/535][139854] Loss_D: -0.019338 Loss_G: 0.000634 Loss_D_real: -0.007817 Loss_D_fake 0.011521
[1355/5000][460/535][139855] Loss_D: -0.019261 Loss_G: 0.012885 Loss_D_real: -0.037325 Loss_D_fake -0.018064
[1355/5000][465/535][139856] Loss_D: -0.019838 Loss_G: 0.004676 Loss_D_real: -0.016850 Loss_D_fake 0.002987
[1355/5000][470/535][139857] Loss_D: -0.019880 Loss_G: -0.013177 Loss_D_real: -0.001194 Loss_D_fake 0.018686
[1355/5000][475/535][139858] Loss_D: -0.020215 Loss_G: -0.002641 Loss_D_real: -0.001746 Loss_D_fake 0.018469
[1355/5000][480/535][139859] Loss_D: -0.020811 Loss_G: 0.011502 Loss_D_real: -0.026053 Loss_D_fake -0.005242
[1355/5000][485/535][139860] Loss_D: -0.019127 Loss_G: -0.004040 Loss_D_real: -0.009446 Loss_D_fake 0.009680
[1355/5000][490/535][139861] Loss_D: -0.020437 Loss_G: 0.013798 Loss_D_real: -0.017377 Loss_D_fake 0.003060
[1355/5000][495/535][139862] Loss_D: -0.019081 Loss_G: 0.003029 Loss_D_real: -0.013319 Loss_D_fake 0.005762
[1355/5000][500/535][139863] Loss_D: -0.019149 Loss_G: 0.008821 Loss_D_real: -0.016288 Loss_D_fake 0.002861
[1355/5000][505/535][139864] Loss_D: -0.021054 Loss_G: -0.005632 Loss_D_real: -0.019045 Loss_D_fake 0.002009
[1355/5000][510/535][139865] Loss_D: -0.017532 Loss_G: -0.016206 Loss_D_real: 0.018300 Loss_D_fake 0.035832
[1355/5000][515/535][139866] Loss_D: -0.020219 Loss_G: -0.005015 Loss_D_real: -0.009072 Loss_D_fake 0.011147
[1355/5000][520/535][139867] Loss_D: -0.020826 Loss_G: 0.001540 Loss_D_real: -0.010732 Loss_D_fake 0.010095
[1355/5000][525/535][139868] Loss_D: -0.019830 Loss_G: 0.013706 Loss_D_real: -0.014729 Loss_D_fake 0.005102
[1355/5000][530/535][139869] Loss_D: -0.018786 Loss_G: -0.004544 Loss_D_real: -0.015481 Loss_D_fake 0.003305
[1355/5000][535/535][139870] Loss_D: -0.019023 Loss_G: 0.005063 Loss_D_real: -0.030252 Loss_D_fake -0.011228
[1356/5000][5/535][139871] Loss_D: -0.020758 Loss_G: 0.007189 Loss_D_real: -0.014697 Loss_D_fake 0.006061
[1356/5000][10/535][139872] Loss_D: -0.020772 Loss_G: -0.003252 Loss_D_real: 0.004682 Loss_D_fake 0.025454
[1356/5000][15/535][139873] Loss_D: -0.020855 Loss_G: 0.004498 Loss_D_real: -0.019839 Loss_D_fake 0.001016
[1356/5000][20/535][139874] Loss_D: -0.020232 Loss_G: 0.020382 Loss_D_real: -0.033042 Loss_D_fake -0.012810
[1356/5000][25/535][139875] Loss_D: -0.020834 Loss_G: -0.002987 Loss_D_real: -0.010469 Loss_D_fake 0.010365
[1356/5000][30/535][139876] Loss_D: -0.020298 Loss_G: 0.022022 Loss_D_real: -0.021407 Loss_D_fake -0.001109
[1356/5000][35/535][139877] Loss_D: -0.021401 Loss_G: 0.024345 Loss_D_real: -0.020069 Loss_D_fake 0.001331
[1356/5000][40/535][139878] Loss_D: -0.020284 Loss_G: 0.000921 Loss_D_real: -0.017051 Loss_D_fake 0.003233
[1356/5000][45/535][139879] Loss_D: -0.020047 Loss_G: 0.001019 Loss_D_real: -0.015162 Loss_D_fake 0.004884
[1356/5000][50/535][139880] Loss_D: -0.018865 Loss_G: 0.017432 Loss_D_real: -0.030548 Loss_D_fake -0.011682
[1356/5000][55/535][139881] Loss_D: -0.018967 Loss_G: 0.019268 Loss_D_real: -0.033498 Loss_D_fake -0.014531
[1356/5000][60/535][139882] Loss_D: -0.020092 Loss_G: 0.012425 Loss_D_real: -0.013494 Loss_D_fake 0.006598
[1356/5000][65/535][139883] Loss_D: -0.019650 Loss_G: 0.014938 Loss_D_real: -0.021366 Loss_D_fake -0.001715
[1356/5000][70/535][139884] Loss_D: -0.020654 Loss_G: 0.018109 Loss_D_real: -0.021242 Loss_D_fake -0.000588
[1356/5000][75/535][139885] Loss_D: -0.021244 Loss_G: 0.000102 Loss_D_real: -0.020577 Loss_D_fake 0.000667
[1356/5000][80/535][139886] Loss_D: -0.020674 Loss_G: -0.007165 Loss_D_real: -0.004676 Loss_D_fake 0.015998
[1356/5000][85/535][139887] Loss_D: -0.019814 Loss_G: 0.005561 Loss_D_real: -0.020210 Loss_D_fake -0.000395
[1356/5000][90/535][139888] Loss_D: -0.019506 Loss_G: -0.005363 Loss_D_real: -0.018867 Loss_D_fake 0.000638
[1356/5000][95/535][139889] Loss_D: -0.020349 Loss_G: 0.008477 Loss_D_real: -0.011692 Loss_D_fake 0.008656
[1356/5000][100/535][139890] Loss_D: -0.020225 Loss_G: 0.003177 Loss_D_real: -0.007021 Loss_D_fake 0.013204
[1356/5000][105/535][139891] Loss_D: -0.020847 Loss_G: 0.002142 Loss_D_real: -0.013493 Loss_D_fake 0.007354
[1356/5000][110/535][139892] Loss_D: -0.019439 Loss_G: 0.004036 Loss_D_real: -0.019006 Loss_D_fake 0.000433
[1356/5000][115/535][139893] Loss_D: -0.019455 Loss_G: -0.012697 Loss_D_real: -0.009544 Loss_D_fake 0.009911
[1356/5000][120/535][139894] Loss_D: -0.018133 Loss_G: -0.014820 Loss_D_real: -0.008637 Loss_D_fake 0.009496
[1356/5000][125/535][139895] Loss_D: -0.018013 Loss_G: 0.024207 Loss_D_real: -0.028100 Loss_D_fake -0.010087
[1356/5000][130/535][139896] Loss_D: -0.018596 Loss_G: -0.002656 Loss_D_real: -0.018364 Loss_D_fake 0.000232
[1356/5000][135/535][139897] Loss_D: -0.018514 Loss_G: -0.002455 Loss_D_real: -0.015733 Loss_D_fake 0.002781
[1356/5000][140/535][139898] Loss_D: -0.020048 Loss_G: 0.004339 Loss_D_real: -0.002880 Loss_D_fake 0.017168
[1356/5000][145/535][139899] Loss_D: -0.018901 Loss_G: 0.000875 Loss_D_real: -0.014977 Loss_D_fake 0.003924
[1356/5000][150/535][139900] Loss_D: -0.019289 Loss_G: 0.009596 Loss_D_real: -0.021401 Loss_D_fake -0.002112
[1356/5000][155/535][139901] Loss_D: -0.019813 Loss_G: 0.008904 Loss_D_real: -0.020466 Loss_D_fake -0.000653
[1356/5000][160/535][139902] Loss_D: -0.019665 Loss_G: -0.012994 Loss_D_real: 0.002047 Loss_D_fake 0.021712
[1356/5000][165/535][139903] Loss_D: -0.019520 Loss_G: 0.011387 Loss_D_real: -0.016471 Loss_D_fake 0.003050
[1356/5000][170/535][139904] Loss_D: -0.020386 Loss_G: -0.000941 Loss_D_real: -0.009504 Loss_D_fake 0.010881
[1356/5000][175/535][139905] Loss_D: -0.019072 Loss_G: -0.003614 Loss_D_real: -0.002885 Loss_D_fake 0.016186
[1356/5000][180/535][139906] Loss_D: -0.017715 Loss_G: 0.024206 Loss_D_real: -0.037972 Loss_D_fake -0.020257
[1356/5000][185/535][139907] Loss_D: -0.019777 Loss_G: 0.026374 Loss_D_real: -0.033892 Loss_D_fake -0.014115
[1356/5000][190/535][139908] Loss_D: -0.018929 Loss_G: -0.003195 Loss_D_real: -0.026307 Loss_D_fake -0.007377
[1356/5000][195/535][139909] Loss_D: -0.019573 Loss_G: -0.014548 Loss_D_real: -0.009818 Loss_D_fake 0.009755
[1356/5000][200/535][139910] Loss_D: -0.019527 Loss_G: 0.010949 Loss_D_real: -0.026732 Loss_D_fake -0.007204
[1356/5000][205/535][139911] Loss_D: -0.020134 Loss_G: 0.008161 Loss_D_real: -0.019663 Loss_D_fake 0.000471
[1356/5000][210/535][139912] Loss_D: -0.018654 Loss_G: -0.002876 Loss_D_real: -0.010498 Loss_D_fake 0.008156
[1356/5000][215/535][139913] Loss_D: -0.020215 Loss_G: 0.000843 Loss_D_real: -0.018654 Loss_D_fake 0.001561
[1356/5000][220/535][139914] Loss_D: -0.021663 Loss_G: 0.007667 Loss_D_real: -0.013323 Loss_D_fake 0.008340
[1356/5000][225/535][139915] Loss_D: -0.020244 Loss_G: 0.026499 Loss_D_real: -0.030161 Loss_D_fake -0.009917
[1356/5000][230/535][139916] Loss_D: -0.019955 Loss_G: 0.008913 Loss_D_real: -0.012413 Loss_D_fake 0.007542
[1356/5000][235/535][139917] Loss_D: -0.018887 Loss_G: -0.003423 Loss_D_real: 0.004284 Loss_D_fake 0.023172
[1356/5000][240/535][139918] Loss_D: -0.019977 Loss_G: -0.003889 Loss_D_real: -0.016121 Loss_D_fake 0.003856
[1356/5000][245/535][139919] Loss_D: -0.019838 Loss_G: 0.013825 Loss_D_real: -0.010256 Loss_D_fake 0.009583
[1356/5000][250/535][139920] Loss_D: -0.020730 Loss_G: 0.002755 Loss_D_real: -0.010495 Loss_D_fake 0.010234
[1356/5000][255/535][139921] Loss_D: -0.020179 Loss_G: 0.015815 Loss_D_real: -0.022283 Loss_D_fake -0.002104
[1356/5000][260/535][139922] Loss_D: -0.019808 Loss_G: -0.000563 Loss_D_real: -0.008713 Loss_D_fake 0.011095
[1356/5000][265/535][139923] Loss_D: -0.019903 Loss_G: -0.005090 Loss_D_real: -0.016459 Loss_D_fake 0.003444
[1356/5000][270/535][139924] Loss_D: -0.019626 Loss_G: 0.009418 Loss_D_real: -0.019910 Loss_D_fake -0.000284
[1356/5000][275/535][139925] Loss_D: -0.019382 Loss_G: -0.000959 Loss_D_real: -0.015078 Loss_D_fake 0.004304
[1356/5000][280/535][139926] Loss_D: -0.020730 Loss_G: 0.001201 Loss_D_real: -0.019300 Loss_D_fake 0.001430
[1356/5000][285/535][139927] Loss_D: -0.020835 Loss_G: 0.014116 Loss_D_real: -0.018154 Loss_D_fake 0.002681
[1356/5000][290/535][139928] Loss_D: -0.020247 Loss_G: 0.009667 Loss_D_real: -0.013803 Loss_D_fake 0.006444
[1356/5000][295/535][139929] Loss_D: -0.020972 Loss_G: 0.008180 Loss_D_real: -0.022228 Loss_D_fake -0.001257
[1356/5000][300/535][139930] Loss_D: -0.020922 Loss_G: 0.004308 Loss_D_real: -0.023389 Loss_D_fake -0.002468
[1356/5000][305/535][139931] Loss_D: -0.019819 Loss_G: 0.000232 Loss_D_real: -0.008200 Loss_D_fake 0.011618
[1356/5000][310/535][139932] Loss_D: -0.019531 Loss_G: -0.001093 Loss_D_real: -0.015498 Loss_D_fake 0.004032
[1356/5000][315/535][139933] Loss_D: -0.021070 Loss_G: 0.007451 Loss_D_real: -0.010189 Loss_D_fake 0.010881
[1356/5000][320/535][139934] Loss_D: -0.020179 Loss_G: 0.011501 Loss_D_real: -0.009747 Loss_D_fake 0.010432
[1356/5000][325/535][139935] Loss_D: -0.019569 Loss_G: 0.014987 Loss_D_real: -0.023003 Loss_D_fake -0.003434
[1356/5000][330/535][139936] Loss_D: -0.020271 Loss_G: -0.005344 Loss_D_real: 0.004050 Loss_D_fake 0.024321
[1356/5000][335/535][139937] Loss_D: -0.020003 Loss_G: 0.016425 Loss_D_real: -0.019868 Loss_D_fake 0.000135
[1356/5000][340/535][139938] Loss_D: -0.020162 Loss_G: 0.006523 Loss_D_real: -0.024758 Loss_D_fake -0.004596
[1356/5000][345/535][139939] Loss_D: -0.020332 Loss_G: 0.005373 Loss_D_real: -0.011230 Loss_D_fake 0.009102
[1356/5000][350/535][139940] Loss_D: -0.020452 Loss_G: 0.007584 Loss_D_real: -0.010594 Loss_D_fake 0.009858
[1356/5000][355/535][139941] Loss_D: -0.018350 Loss_G: 0.009639 Loss_D_real: -0.012338 Loss_D_fake 0.006012
[1356/5000][360/535][139942] Loss_D: -0.019492 Loss_G: -0.000647 Loss_D_real: -0.014017 Loss_D_fake 0.005475
[1356/5000][365/535][139943] Loss_D: -0.018503 Loss_G: 0.026958 Loss_D_real: -0.040489 Loss_D_fake -0.021986
[1356/5000][370/535][139944] Loss_D: -0.019640 Loss_G: 0.004410 Loss_D_real: -0.017176 Loss_D_fake 0.002464
[1356/5000][375/535][139945] Loss_D: -0.020063 Loss_G: 0.006323 Loss_D_real: -0.014979 Loss_D_fake 0.005084
[1356/5000][380/535][139946] Loss_D: -0.020339 Loss_G: 0.009291 Loss_D_real: -0.003376 Loss_D_fake 0.016963
[1356/5000][385/535][139947] Loss_D: -0.018521 Loss_G: 0.008777 Loss_D_real: -0.018426 Loss_D_fake 0.000095
[1356/5000][390/535][139948] Loss_D: -0.020086 Loss_G: 0.006519 Loss_D_real: -0.016836 Loss_D_fake 0.003250
[1356/5000][395/535][139949] Loss_D: -0.021544 Loss_G: -0.004614 Loss_D_real: -0.010376 Loss_D_fake 0.011168
[1356/5000][400/535][139950] Loss_D: -0.019487 Loss_G: 0.001479 Loss_D_real: -0.011469 Loss_D_fake 0.008019
[1356/5000][405/535][139951] Loss_D: -0.020086 Loss_G: 0.022000 Loss_D_real: -0.033400 Loss_D_fake -0.013315
[1356/5000][410/535][139952] Loss_D: -0.019875 Loss_G: 0.014199 Loss_D_real: -0.015016 Loss_D_fake 0.004859
[1356/5000][415/535][139953] Loss_D: -0.020425 Loss_G: 0.000070 Loss_D_real: -0.015033 Loss_D_fake 0.005392
[1356/5000][420/535][139954] Loss_D: -0.019100 Loss_G: 0.016528 Loss_D_real: -0.024101 Loss_D_fake -0.005001
[1356/5000][425/535][139955] Loss_D: -0.021040 Loss_G: -0.010345 Loss_D_real: -0.023072 Loss_D_fake -0.002032
[1356/5000][430/535][139956] Loss_D: -0.019949 Loss_G: -0.023266 Loss_D_real: -0.011806 Loss_D_fake 0.008143
[1356/5000][435/535][139957] Loss_D: -0.019194 Loss_G: 0.000163 Loss_D_real: -0.013108 Loss_D_fake 0.006086
[1356/5000][440/535][139958] Loss_D: -0.019206 Loss_G: 0.009668 Loss_D_real: -0.023128 Loss_D_fake -0.003922
[1356/5000][445/535][139959] Loss_D: -0.019795 Loss_G: 0.025492 Loss_D_real: -0.026233 Loss_D_fake -0.006438
[1356/5000][450/535][139960] Loss_D: -0.020251 Loss_G: 0.017121 Loss_D_real: -0.018617 Loss_D_fake 0.001634
[1356/5000][455/535][139961] Loss_D: -0.019839 Loss_G: -0.009509 Loss_D_real: -0.010026 Loss_D_fake 0.009813
[1356/5000][460/535][139962] Loss_D: -0.019126 Loss_G: 0.012622 Loss_D_real: -0.025314 Loss_D_fake -0.006189
[1356/5000][465/535][139963] Loss_D: -0.019982 Loss_G: 0.010424 Loss_D_real: -0.015171 Loss_D_fake 0.004811
[1356/5000][470/535][139964] Loss_D: -0.020272 Loss_G: 0.013952 Loss_D_real: -0.001793 Loss_D_fake 0.018479
[1356/5000][475/535][139965] Loss_D: -0.020336 Loss_G: 0.006400 Loss_D_real: -0.024369 Loss_D_fake -0.004033
[1356/5000][480/535][139966] Loss_D: -0.018398 Loss_G: 0.020633 Loss_D_real: -0.030855 Loss_D_fake -0.012457
[1356/5000][485/535][139967] Loss_D: -0.020481 Loss_G: 0.001967 Loss_D_real: -0.012555 Loss_D_fake 0.007926
[1356/5000][490/535][139968] Loss_D: -0.019949 Loss_G: -0.001449 Loss_D_real: -0.017323 Loss_D_fake 0.002625
[1356/5000][495/535][139969] Loss_D: -0.020713 Loss_G: 0.000867 Loss_D_real: -0.010412 Loss_D_fake 0.010301
[1356/5000][500/535][139970] Loss_D: -0.020092 Loss_G: 0.019054 Loss_D_real: -0.028316 Loss_D_fake -0.008224
[1356/5000][505/535][139971] Loss_D: -0.020765 Loss_G: 0.008870 Loss_D_real: -0.020521 Loss_D_fake 0.000243
[1356/5000][510/535][139972] Loss_D: -0.021411 Loss_G: 0.013974 Loss_D_real: -0.012461 Loss_D_fake 0.008950
[1356/5000][515/535][139973] Loss_D: -0.020530 Loss_G: 0.005394 Loss_D_real: -0.028782 Loss_D_fake -0.008252
[1356/5000][520/535][139974] Loss_D: -0.019978 Loss_G: 0.009882 Loss_D_real: -0.008297 Loss_D_fake 0.011681
[1356/5000][525/535][139975] Loss_D: -0.019015 Loss_G: 0.002697 Loss_D_real: -0.018367 Loss_D_fake 0.000648
[1356/5000][530/535][139976] Loss_D: -0.021244 Loss_G: -0.010926 Loss_D_real: -0.012261 Loss_D_fake 0.008983
[1356/5000][535/535][139977] Loss_D: -0.020476 Loss_G: -0.032268 Loss_D_real: -0.014559 Loss_D_fake 0.005917
[1357/5000][5/535][139978] Loss_D: -0.020343 Loss_G: 0.009357 Loss_D_real: -0.007227 Loss_D_fake 0.013116
[1357/5000][10/535][139979] Loss_D: -0.019049 Loss_G: 0.004478 Loss_D_real: -0.015078 Loss_D_fake 0.003971
[1357/5000][15/535][139980] Loss_D: -0.018909 Loss_G: 0.006889 Loss_D_real: -0.011949 Loss_D_fake 0.006960
[1357/5000][20/535][139981] Loss_D: -0.019585 Loss_G: -0.004110 Loss_D_real: -0.013364 Loss_D_fake 0.006221
[1357/5000][25/535][139982] Loss_D: -0.019891 Loss_G: -0.004353 Loss_D_real: -0.005731 Loss_D_fake 0.014160
[1357/5000][30/535][139983] Loss_D: -0.019917 Loss_G: 0.018300 Loss_D_real: -0.015884 Loss_D_fake 0.004034
[1357/5000][35/535][139984] Loss_D: -0.019432 Loss_G: -0.008661 Loss_D_real: -0.023460 Loss_D_fake -0.004028
[1357/5000][40/535][139985] Loss_D: -0.017634 Loss_G: 0.003312 Loss_D_real: -0.024303 Loss_D_fake -0.006669
[1357/5000][45/535][139986] Loss_D: -0.018221 Loss_G: 0.004926 Loss_D_real: -0.012034 Loss_D_fake 0.006187
[1357/5000][50/535][139987] Loss_D: -0.020199 Loss_G: -0.000435 Loss_D_real: -0.004295 Loss_D_fake 0.015904
[1357/5000][55/535][139988] Loss_D: -0.019183 Loss_G: 0.005774 Loss_D_real: -0.007923 Loss_D_fake 0.011260
[1357/5000][60/535][139989] Loss_D: -0.019988 Loss_G: 0.019078 Loss_D_real: -0.015041 Loss_D_fake 0.004947
[1357/5000][65/535][139990] Loss_D: -0.020381 Loss_G: 0.006830 Loss_D_real: -0.019208 Loss_D_fake 0.001173
[1357/5000][70/535][139991] Loss_D: -0.019894 Loss_G: -0.000427 Loss_D_real: -0.006381 Loss_D_fake 0.013513
[1357/5000][75/535][139992] Loss_D: -0.020319 Loss_G: -0.000442 Loss_D_real: -0.024609 Loss_D_fake -0.004290
[1357/5000][80/535][139993] Loss_D: -0.020236 Loss_G: 0.013368 Loss_D_real: -0.020459 Loss_D_fake -0.000223
[1357/5000][85/535][139994] Loss_D: -0.019255 Loss_G: 0.013356 Loss_D_real: -0.020897 Loss_D_fake -0.001642
[1357/5000][90/535][139995] Loss_D: -0.021087 Loss_G: -0.004945 Loss_D_real: -0.011656 Loss_D_fake 0.009431
[1357/5000][95/535][139996] Loss_D: -0.019641 Loss_G: -0.004763 Loss_D_real: -0.012401 Loss_D_fake 0.007240
[1357/5000][100/535][139997] Loss_D: -0.019686 Loss_G: 0.004588 Loss_D_real: -0.015913 Loss_D_fake 0.003773
[1357/5000][105/535][139998] Loss_D: -0.019583 Loss_G: 0.014277 Loss_D_real: -0.026566 Loss_D_fake -0.006983
[1357/5000][110/535][139999] Loss_D: -0.020217 Loss_G: 0.017044 Loss_D_real: -0.024141 Loss_D_fake -0.003924
[1357/5000][115/535][140000] Loss_D: -0.019606 Loss_G: 0.021424 Loss_D_real: -0.022111 Loss_D_fake -0.002505
[1357/5000][215/535][140001] Loss_D: -0.019846 Loss_G: 0.029030 Loss_D_real: -0.032388 Loss_D_fake -0.012543
[1357/5000][220/535][140002] Loss_D: -0.019624 Loss_G: 0.019164 Loss_D_real: -0.017081 Loss_D_fake 0.002543
[1357/5000][225/535][140003] Loss_D: -0.020365 Loss_G: -0.008000 Loss_D_real: -0.018201 Loss_D_fake 0.002164
[1357/5000][230/535][140004] Loss_D: -0.019496 Loss_G: -0.011821 Loss_D_real: -0.017168 Loss_D_fake 0.002328
[1357/5000][235/535][140005] Loss_D: -0.018888 Loss_G: 0.019112 Loss_D_real: -0.025391 Loss_D_fake -0.006503
[1357/5000][240/535][140006] Loss_D: -0.018800 Loss_G: 0.008485 Loss_D_real: -0.020536 Loss_D_fake -0.001736
[1357/5000][245/535][140007] Loss_D: -0.019224 Loss_G: 0.002679 Loss_D_real: -0.018942 Loss_D_fake 0.000282
[1357/5000][250/535][140008] Loss_D: -0.019594 Loss_G: -0.001940 Loss_D_real: -0.001325 Loss_D_fake 0.018269
[1357/5000][255/535][140009] Loss_D: -0.018059 Loss_G: -0.011938 Loss_D_real: -0.008562 Loss_D_fake 0.009497
[1357/5000][260/535][140010] Loss_D: -0.018300 Loss_G: 0.008805 Loss_D_real: -0.018251 Loss_D_fake 0.000049
[1357/5000][265/535][140011] Loss_D: -0.019792 Loss_G: -0.004724 Loss_D_real: -0.000792 Loss_D_fake 0.019000
[1357/5000][270/535][140012] Loss_D: -0.017795 Loss_G: -0.007932 Loss_D_real: -0.008624 Loss_D_fake 0.009171
[1357/5000][275/535][140013] Loss_D: -0.018561 Loss_G: 0.022341 Loss_D_real: -0.020505 Loss_D_fake -0.001944
[1357/5000][280/535][140014] Loss_D: -0.021381 Loss_G: 0.006031 Loss_D_real: -0.025833 Loss_D_fake -0.004453
[1357/5000][285/535][140015] Loss_D: -0.019802 Loss_G: -0.014992 Loss_D_real: 0.000363 Loss_D_fake 0.020165
[1357/5000][290/535][140016] Loss_D: -0.019019 Loss_G: 0.013613 Loss_D_real: -0.025124 Loss_D_fake -0.006104
[1357/5000][295/535][140017] Loss_D: -0.019151 Loss_G: 0.027169 Loss_D_real: -0.022070 Loss_D_fake -0.002918
[1357/5000][300/535][140018] Loss_D: -0.018536 Loss_G: 0.011693 Loss_D_real: -0.015681 Loss_D_fake 0.002855
[1357/5000][305/535][140019] Loss_D: -0.020950 Loss_G: 0.008032 Loss_D_real: -0.028481 Loss_D_fake -0.007531
[1357/5000][310/535][140020] Loss_D: -0.019605 Loss_G: 0.021512 Loss_D_real: -0.033581 Loss_D_fake -0.013976
[1357/5000][315/535][140021] Loss_D: -0.019643 Loss_G: 0.004120 Loss_D_real: -0.013210 Loss_D_fake 0.006433
[1357/5000][320/535][140022] Loss_D: -0.018947 Loss_G: 0.005876 Loss_D_real: -0.016332 Loss_D_fake 0.002614
[1357/5000][325/535][140023] Loss_D: -0.019884 Loss_G: 0.013937 Loss_D_real: -0.021600 Loss_D_fake -0.001716
[1357/5000][330/535][140024] Loss_D: -0.021429 Loss_G: -0.000374 Loss_D_real: -0.014407 Loss_D_fake 0.007023
[1357/5000][335/535][140025] Loss_D: -0.020400 Loss_G: -0.001038 Loss_D_real: -0.014209 Loss_D_fake 0.006191
[1357/5000][340/535][140026] Loss_D: -0.020346 Loss_G: 0.015181 Loss_D_real: -0.032002 Loss_D_fake -0.011656
[1357/5000][345/535][140027] Loss_D: -0.020850 Loss_G: 0.003908 Loss_D_real: -0.023689 Loss_D_fake -0.002839
[1357/5000][350/535][140028] Loss_D: -0.020144 Loss_G: 0.004771 Loss_D_real: -0.017022 Loss_D_fake 0.003122
[1357/5000][355/535][140029] Loss_D: -0.019412 Loss_G: 0.008119 Loss_D_real: -0.014262 Loss_D_fake 0.005150
[1357/5000][360/535][140030] Loss_D: -0.019552 Loss_G: -0.004892 Loss_D_real: 0.005051 Loss_D_fake 0.024603
[1357/5000][365/535][140031] Loss_D: -0.018644 Loss_G: 0.004606 Loss_D_real: -0.023471 Loss_D_fake -0.004827
[1357/5000][370/535][140032] Loss_D: -0.019613 Loss_G: 0.001104 Loss_D_real: -0.007944 Loss_D_fake 0.011670
[1357/5000][375/535][140033] Loss_D: -0.019824 Loss_G: 0.002587 Loss_D_real: -0.013867 Loss_D_fake 0.005956
[1357/5000][380/535][140034] Loss_D: -0.019136 Loss_G: 0.021224 Loss_D_real: -0.016569 Loss_D_fake 0.002567
[1357/5000][385/535][140035] Loss_D: -0.019363 Loss_G: 0.010047 Loss_D_real: -0.021145 Loss_D_fake -0.001781
[1357/5000][390/535][140036] Loss_D: -0.020873 Loss_G: 0.000119 Loss_D_real: -0.009091 Loss_D_fake 0.011782
[1357/5000][395/535][140037] Loss_D: -0.019718 Loss_G: -0.004174 Loss_D_real: -0.013571 Loss_D_fake 0.006147
[1357/5000][400/535][140038] Loss_D: -0.019397 Loss_G: 0.003722 Loss_D_real: -0.031654 Loss_D_fake -0.012257
[1357/5000][405/535][140039] Loss_D: -0.019113 Loss_G: 0.011959 Loss_D_real: -0.008019 Loss_D_fake 0.011094
[1357/5000][410/535][140040] Loss_D: -0.019546 Loss_G: 0.008600 Loss_D_real: -0.014757 Loss_D_fake 0.004788
[1357/5000][415/535][140041] Loss_D: -0.018079 Loss_G: -0.014656 Loss_D_real: -0.008353 Loss_D_fake 0.009726
[1357/5000][420/535][140042] Loss_D: -0.018236 Loss_G: 0.012619 Loss_D_real: -0.020852 Loss_D_fake -0.002615
[1357/5000][425/535][140043] Loss_D: -0.016057 Loss_G: 0.036007 Loss_D_real: -0.037233 Loss_D_fake -0.021176
[1357/5000][430/535][140044] Loss_D: -0.019861 Loss_G: 0.005861 Loss_D_real: -0.017388 Loss_D_fake 0.002473
[1357/5000][435/535][140045] Loss_D: -0.019247 Loss_G: 0.008101 Loss_D_real: -0.020869 Loss_D_fake -0.001622
[1357/5000][440/535][140046] Loss_D: -0.020272 Loss_G: 0.016016 Loss_D_real: -0.018130 Loss_D_fake 0.002142
[1357/5000][445/535][140047] Loss_D: -0.020244 Loss_G: 0.021707 Loss_D_real: -0.027324 Loss_D_fake -0.007080
[1357/5000][450/535][140048] Loss_D: -0.021276 Loss_G: -0.003772 Loss_D_real: -0.023832 Loss_D_fake -0.002556
[1357/5000][455/535][140049] Loss_D: -0.020027 Loss_G: 0.009987 Loss_D_real: -0.025258 Loss_D_fake -0.005231
[1357/5000][460/535][140050] Loss_D: -0.021243 Loss_G: 0.006548 Loss_D_real: -0.012856 Loss_D_fake 0.008387
[1357/5000][465/535][140051] Loss_D: -0.021240 Loss_G: 0.000628 Loss_D_real: -0.014689 Loss_D_fake 0.006551
[1357/5000][470/535][140052] Loss_D: -0.019917 Loss_G: -0.007734 Loss_D_real: -0.007656 Loss_D_fake 0.012261
[1357/5000][475/535][140053] Loss_D: -0.019037 Loss_G: -0.010955 Loss_D_real: -0.008511 Loss_D_fake 0.010526
[1357/5000][480/535][140054] Loss_D: -0.019756 Loss_G: 0.025395 Loss_D_real: -0.017837 Loss_D_fake 0.001919
[1357/5000][485/535][140055] Loss_D: -0.019998 Loss_G: 0.012918 Loss_D_real: -0.025831 Loss_D_fake -0.005833
[1357/5000][490/535][140056] Loss_D: -0.020914 Loss_G: 0.024087 Loss_D_real: -0.017174 Loss_D_fake 0.003739
[1357/5000][495/535][140057] Loss_D: -0.019717 Loss_G: 0.011256 Loss_D_real: -0.023687 Loss_D_fake -0.003971
[1357/5000][500/535][140058] Loss_D: -0.019571 Loss_G: 0.011378 Loss_D_real: -0.012317 Loss_D_fake 0.007254
[1357/5000][505/535][140059] Loss_D: -0.020704 Loss_G: 0.004388 Loss_D_real: -0.016147 Loss_D_fake 0.004557
[1357/5000][510/535][140060] Loss_D: -0.018206 Loss_G: -0.021721 Loss_D_real: 0.009338 Loss_D_fake 0.027543
[1357/5000][515/535][140061] Loss_D: -0.019048 Loss_G: 0.007910 Loss_D_real: -0.010376 Loss_D_fake 0.008672
[1357/5000][520/535][140062] Loss_D: -0.019819 Loss_G: 0.003100 Loss_D_real: -0.006241 Loss_D_fake 0.013578
[1357/5000][525/535][140063] Loss_D: -0.019621 Loss_G: 0.013560 Loss_D_real: -0.022835 Loss_D_fake -0.003214
[1357/5000][530/535][140064] Loss_D: -0.019742 Loss_G: -0.000860 Loss_D_real: -0.016546 Loss_D_fake 0.003195
[1357/5000][535/535][140065] Loss_D: -0.017589 Loss_G: -0.015123 Loss_D_real: -0.010063 Loss_D_fake 0.007526
[1358/5000][5/535][140066] Loss_D: -0.019840 Loss_G: 0.003670 Loss_D_real: -0.012909 Loss_D_fake 0.006931
[1358/5000][10/535][140067] Loss_D: -0.018994 Loss_G: -0.011570 Loss_D_real: -0.002260 Loss_D_fake 0.016734
[1358/5000][15/535][140068] Loss_D: -0.019965 Loss_G: 0.010124 Loss_D_real: -0.019896 Loss_D_fake 0.000069
[1358/5000][20/535][140069] Loss_D: -0.019593 Loss_G: 0.012226 Loss_D_real: -0.018741 Loss_D_fake 0.000851
[1358/5000][25/535][140070] Loss_D: -0.019842 Loss_G: 0.020619 Loss_D_real: -0.018152 Loss_D_fake 0.001690
[1358/5000][30/535][140071] Loss_D: -0.019913 Loss_G: 0.003673 Loss_D_real: -0.010375 Loss_D_fake 0.009538
[1358/5000][35/535][140072] Loss_D: -0.020692 Loss_G: -0.002266 Loss_D_real: -0.016530 Loss_D_fake 0.004162
[1358/5000][40/535][140073] Loss_D: -0.019732 Loss_G: 0.012280 Loss_D_real: -0.018392 Loss_D_fake 0.001341
[1358/5000][45/535][140074] Loss_D: -0.020369 Loss_G: 0.003008 Loss_D_real: -0.025630 Loss_D_fake -0.005262
[1358/5000][50/535][140075] Loss_D: -0.020264 Loss_G: -0.008393 Loss_D_real: -0.013113 Loss_D_fake 0.007151
[1358/5000][55/535][140076] Loss_D: -0.020646 Loss_G: 0.007478 Loss_D_real: -0.012066 Loss_D_fake 0.008580
[1358/5000][60/535][140077] Loss_D: -0.019829 Loss_G: 0.022535 Loss_D_real: -0.037077 Loss_D_fake -0.017248
[1358/5000][65/535][140078] Loss_D: -0.019610 Loss_G: 0.010144 Loss_D_real: -0.020350 Loss_D_fake -0.000740
[1358/5000][70/535][140079] Loss_D: -0.020842 Loss_G: 0.020140 Loss_D_real: -0.021999 Loss_D_fake -0.001157
[1358/5000][75/535][140080] Loss_D: -0.020960 Loss_G: -0.005166 Loss_D_real: -0.017799 Loss_D_fake 0.003161
[1358/5000][80/535][140081] Loss_D: -0.018125 Loss_G: 0.034129 Loss_D_real: -0.033547 Loss_D_fake -0.015422
[1358/5000][85/535][140082] Loss_D: -0.020991 Loss_G: -0.007782 Loss_D_real: -0.005948 Loss_D_fake 0.015043
[1358/5000][90/535][140083] Loss_D: -0.020461 Loss_G: -0.001550 Loss_D_real: -0.017865 Loss_D_fake 0.002597
[1358/5000][95/535][140084] Loss_D: -0.019744 Loss_G: -0.013916 Loss_D_real: -0.014834 Loss_D_fake 0.004910
[1358/5000][100/535][140085] Loss_D: -0.020208 Loss_G: 0.011400 Loss_D_real: -0.016091 Loss_D_fake 0.004117
[1358/5000][105/535][140086] Loss_D: -0.020756 Loss_G: -0.001718 Loss_D_real: -0.004400 Loss_D_fake 0.016356
[1358/5000][110/535][140087] Loss_D: -0.019668 Loss_G: -0.000169 Loss_D_real: -0.015766 Loss_D_fake 0.003902
[1358/5000][115/535][140088] Loss_D: -0.019531 Loss_G: 0.015712 Loss_D_real: -0.020277 Loss_D_fake -0.000746
[1358/5000][120/535][140089] Loss_D: -0.019008 Loss_G: 0.014447 Loss_D_real: -0.028151 Loss_D_fake -0.009143
[1358/5000][125/535][140090] Loss_D: -0.016962 Loss_G: 0.002545 Loss_D_real: -0.012392 Loss_D_fake 0.004570
[1358/5000][130/535][140091] Loss_D: -0.020304 Loss_G: 0.004805 Loss_D_real: -0.011324 Loss_D_fake 0.008979
[1358/5000][135/535][140092] Loss_D: -0.019009 Loss_G: -0.004209 Loss_D_real: -0.011088 Loss_D_fake 0.007922
[1358/5000][140/535][140093] Loss_D: -0.019941 Loss_G: 0.016087 Loss_D_real: -0.024512 Loss_D_fake -0.004570
[1358/5000][145/535][140094] Loss_D: -0.019380 Loss_G: 0.010618 Loss_D_real: -0.021258 Loss_D_fake -0.001878
[1358/5000][150/535][140095] Loss_D: -0.019360 Loss_G: 0.015217 Loss_D_real: -0.024276 Loss_D_fake -0.004916
[1358/5000][155/535][140096] Loss_D: -0.019291 Loss_G: -0.000498 Loss_D_real: -0.001669 Loss_D_fake 0.017622
[1358/5000][160/535][140097] Loss_D: -0.017879 Loss_G: -0.027957 Loss_D_real: 0.005699 Loss_D_fake 0.023577
[1358/5000][165/535][140098] Loss_D: -0.019065 Loss_G: 0.009841 Loss_D_real: -0.011932 Loss_D_fake 0.007133
[1358/5000][170/535][140099] Loss_D: -0.018111 Loss_G: 0.029225 Loss_D_real: -0.023097 Loss_D_fake -0.004986
[1358/5000][175/535][140100] Loss_D: -0.019751 Loss_G: 0.004847 Loss_D_real: -0.016615 Loss_D_fake 0.003135
[1358/5000][180/535][140101] Loss_D: -0.018715 Loss_G: -0.002876 Loss_D_real: -0.003383 Loss_D_fake 0.015332
[1358/5000][185/535][140102] Loss_D: -0.019447 Loss_G: 0.009069 Loss_D_real: -0.019495 Loss_D_fake -0.000048
[1358/5000][190/535][140103] Loss_D: -0.018714 Loss_G: 0.011687 Loss_D_real: -0.026417 Loss_D_fake -0.007703
[1358/5000][195/535][140104] Loss_D: -0.019211 Loss_G: -0.009967 Loss_D_real: -0.003540 Loss_D_fake 0.015671
[1358/5000][200/535][140105] Loss_D: -0.019505 Loss_G: 0.023105 Loss_D_real: -0.024393 Loss_D_fake -0.004887
[1358/5000][205/535][140106] Loss_D: -0.019242 Loss_G: 0.006607 Loss_D_real: -0.030673 Loss_D_fake -0.011431
[1358/5000][210/535][140107] Loss_D: -0.019662 Loss_G: 0.004730 Loss_D_real: -0.020480 Loss_D_fake -0.000819
[1358/5000][215/535][140108] Loss_D: -0.019112 Loss_G: -0.007787 Loss_D_real: -0.010810 Loss_D_fake 0.008303
[1358/5000][220/535][140109] Loss_D: -0.018992 Loss_G: 0.020409 Loss_D_real: -0.033669 Loss_D_fake -0.014677
[1358/5000][225/535][140110] Loss_D: -0.020694 Loss_G: -0.006801 Loss_D_real: -0.015287 Loss_D_fake 0.005407
[1358/5000][230/535][140111] Loss_D: -0.019692 Loss_G: 0.017048 Loss_D_real: -0.015107 Loss_D_fake 0.004585
[1358/5000][235/535][140112] Loss_D: -0.017828 Loss_G: 0.015065 Loss_D_real: -0.038284 Loss_D_fake -0.020456
[1358/5000][240/535][140113] Loss_D: -0.017746 Loss_G: 0.015048 Loss_D_real: -0.031008 Loss_D_fake -0.013262
[1358/5000][245/535][140114] Loss_D: -0.020506 Loss_G: -0.009669 Loss_D_real: -0.003827 Loss_D_fake 0.016679
[1358/5000][250/535][140115] Loss_D: -0.019954 Loss_G: 0.008297 Loss_D_real: -0.017652 Loss_D_fake 0.002302
[1358/5000][255/535][140116] Loss_D: -0.019634 Loss_G: 0.013990 Loss_D_real: -0.026525 Loss_D_fake -0.006891
[1358/5000][260/535][140117] Loss_D: -0.019826 Loss_G: 0.016394 Loss_D_real: -0.020103 Loss_D_fake -0.000277
[1358/5000][265/535][140118] Loss_D: -0.020554 Loss_G: 0.013542 Loss_D_real: -0.024041 Loss_D_fake -0.003487
[1358/5000][270/535][140119] Loss_D: -0.019701 Loss_G: 0.010006 Loss_D_real: -0.022864 Loss_D_fake -0.003163
[1358/5000][275/535][140120] Loss_D: -0.020319 Loss_G: 0.027626 Loss_D_real: -0.030186 Loss_D_fake -0.009867
[1358/5000][280/535][140121] Loss_D: -0.019070 Loss_G: -0.001996 Loss_D_real: -0.005097 Loss_D_fake 0.013973
[1358/5000][285/535][140122] Loss_D: -0.021088 Loss_G: 0.015112 Loss_D_real: -0.012183 Loss_D_fake 0.008906
[1358/5000][290/535][140123] Loss_D: -0.020889 Loss_G: -0.005818 Loss_D_real: -0.004546 Loss_D_fake 0.016343
[1358/5000][295/535][140124] Loss_D: -0.019372 Loss_G: -0.011817 Loss_D_real: -0.009910 Loss_D_fake 0.009462
[1358/5000][300/535][140125] Loss_D: -0.020077 Loss_G: 0.016888 Loss_D_real: -0.022774 Loss_D_fake -0.002697
[1358/5000][305/535][140126] Loss_D: -0.018998 Loss_G: 0.000886 Loss_D_real: -0.011909 Loss_D_fake 0.007089
[1358/5000][310/535][140127] Loss_D: -0.020678 Loss_G: -0.005183 Loss_D_real: -0.013593 Loss_D_fake 0.007085
[1358/5000][315/535][140128] Loss_D: -0.021065 Loss_G: 0.009484 Loss_D_real: -0.008827 Loss_D_fake 0.012237
[1358/5000][320/535][140129] Loss_D: -0.021283 Loss_G: -0.007008 Loss_D_real: -0.007116 Loss_D_fake 0.014168
[1358/5000][325/535][140130] Loss_D: -0.020810 Loss_G: 0.016731 Loss_D_real: -0.020894 Loss_D_fake -0.000084
[1358/5000][330/535][140131] Loss_D: -0.020317 Loss_G: -0.000354 Loss_D_real: -0.005029 Loss_D_fake 0.015288
[1358/5000][335/535][140132] Loss_D: -0.019486 Loss_G: 0.016563 Loss_D_real: -0.021266 Loss_D_fake -0.001781
[1358/5000][340/535][140133] Loss_D: -0.018188 Loss_G: 0.010856 Loss_D_real: -0.006684 Loss_D_fake 0.011504
[1358/5000][345/535][140134] Loss_D: -0.019964 Loss_G: 0.017043 Loss_D_real: -0.029874 Loss_D_fake -0.009910
[1358/5000][350/535][140135] Loss_D: -0.018669 Loss_G: 0.025889 Loss_D_real: -0.012493 Loss_D_fake 0.006176
[1358/5000][355/535][140136] Loss_D: -0.019102 Loss_G: 0.008275 Loss_D_real: -0.018194 Loss_D_fake 0.000908
[1358/5000][360/535][140137] Loss_D: -0.018862 Loss_G: 0.017336 Loss_D_real: -0.028826 Loss_D_fake -0.009963
[1358/5000][365/535][140138] Loss_D: -0.020971 Loss_G: -0.005950 Loss_D_real: -0.019458 Loss_D_fake 0.001513
[1358/5000][370/535][140139] Loss_D: -0.020392 Loss_G: 0.013094 Loss_D_real: -0.018447 Loss_D_fake 0.001945
[1358/5000][375/535][140140] Loss_D: -0.020360 Loss_G: 0.005783 Loss_D_real: -0.012156 Loss_D_fake 0.008204
[1358/5000][380/535][140141] Loss_D: -0.019918 Loss_G: 0.003379 Loss_D_real: -0.004155 Loss_D_fake 0.015764
[1358/5000][385/535][140142] Loss_D: -0.018811 Loss_G: 0.027047 Loss_D_real: -0.023975 Loss_D_fake -0.005165
[1358/5000][390/535][140143] Loss_D: -0.021023 Loss_G: -0.005279 Loss_D_real: -0.013264 Loss_D_fake 0.007759
[1358/5000][395/535][140144] Loss_D: -0.020457 Loss_G: 0.019996 Loss_D_real: -0.025502 Loss_D_fake -0.005045
[1358/5000][400/535][140145] Loss_D: -0.020758 Loss_G: 0.001020 Loss_D_real: -0.007444 Loss_D_fake 0.013314
[1358/5000][405/535][140146] Loss_D: -0.019672 Loss_G: 0.004244 Loss_D_real: -0.009040 Loss_D_fake 0.010632
[1358/5000][410/535][140147] Loss_D: -0.020449 Loss_G: -0.000468 Loss_D_real: -0.015502 Loss_D_fake 0.004947
[1358/5000][415/535][140148] Loss_D: -0.019886 Loss_G: 0.012343 Loss_D_real: -0.016390 Loss_D_fake 0.003496
[1358/5000][420/535][140149] Loss_D: -0.020101 Loss_G: 0.007416 Loss_D_real: -0.008549 Loss_D_fake 0.011552
[1358/5000][425/535][140150] Loss_D: -0.020424 Loss_G: -0.002230 Loss_D_real: -0.018090 Loss_D_fake 0.002334
[1358/5000][430/535][140151] Loss_D: -0.018099 Loss_G: 0.007553 Loss_D_real: -0.004914 Loss_D_fake 0.013185
[1358/5000][435/535][140152] Loss_D: -0.020663 Loss_G: 0.012465 Loss_D_real: -0.022410 Loss_D_fake -0.001747
[1358/5000][440/535][140153] Loss_D: -0.018372 Loss_G: -0.007201 Loss_D_real: -0.016102 Loss_D_fake 0.002271
[1358/5000][445/535][140154] Loss_D: -0.018426 Loss_G: 0.007707 Loss_D_real: -0.012281 Loss_D_fake 0.006145
[1358/5000][450/535][140155] Loss_D: -0.019891 Loss_G: -0.011678 Loss_D_real: -0.007838 Loss_D_fake 0.012053
[1358/5000][455/535][140156] Loss_D: -0.019424 Loss_G: 0.010964 Loss_D_real: -0.018296 Loss_D_fake 0.001128
[1358/5000][460/535][140157] Loss_D: -0.020005 Loss_G: 0.009934 Loss_D_real: -0.008695 Loss_D_fake 0.011310
[1358/5000][465/535][140158] Loss_D: -0.020122 Loss_G: -0.005792 Loss_D_real: 0.003779 Loss_D_fake 0.023901
[1358/5000][470/535][140159] Loss_D: -0.019633 Loss_G: 0.016647 Loss_D_real: -0.019275 Loss_D_fake 0.000358
[1358/5000][475/535][140160] Loss_D: -0.019687 Loss_G: -0.006170 Loss_D_real: -0.016195 Loss_D_fake 0.003492
[1358/5000][480/535][140161] Loss_D: -0.019964 Loss_G: 0.011845 Loss_D_real: -0.020084 Loss_D_fake -0.000120
[1358/5000][485/535][140162] Loss_D: -0.020325 Loss_G: 0.007043 Loss_D_real: -0.001204 Loss_D_fake 0.019121
[1358/5000][490/535][140163] Loss_D: -0.020134 Loss_G: 0.012144 Loss_D_real: -0.019909 Loss_D_fake 0.000225
[1358/5000][495/535][140164] Loss_D: -0.018608 Loss_G: 0.016546 Loss_D_real: -0.012504 Loss_D_fake 0.006104
[1358/5000][500/535][140165] Loss_D: -0.020404 Loss_G: 0.014491 Loss_D_real: -0.024307 Loss_D_fake -0.003903
[1358/5000][505/535][140166] Loss_D: -0.018819 Loss_G: 0.010708 Loss_D_real: -0.025615 Loss_D_fake -0.006796
[1358/5000][510/535][140167] Loss_D: -0.018929 Loss_G: 0.019460 Loss_D_real: -0.027596 Loss_D_fake -0.008667
[1358/5000][515/535][140168] Loss_D: -0.020164 Loss_G: 0.005078 Loss_D_real: -0.016242 Loss_D_fake 0.003922
[1358/5000][520/535][140169] Loss_D: -0.020277 Loss_G: 0.010305 Loss_D_real: -0.015222 Loss_D_fake 0.005055
[1358/5000][525/535][140170] Loss_D: -0.020229 Loss_G: 0.006225 Loss_D_real: -0.023457 Loss_D_fake -0.003227
[1358/5000][530/535][140171] Loss_D: -0.020160 Loss_G: 0.007782 Loss_D_real: -0.024796 Loss_D_fake -0.004635
[1358/5000][535/535][140172] Loss_D: -0.019668 Loss_G: 0.010038 Loss_D_real: -0.007713 Loss_D_fake 0.011955
[1359/5000][5/535][140173] Loss_D: -0.019678 Loss_G: 0.017030 Loss_D_real: -0.032316 Loss_D_fake -0.012637
[1359/5000][10/535][140174] Loss_D: -0.020425 Loss_G: -0.013374 Loss_D_real: -0.007735 Loss_D_fake 0.012690
[1359/5000][15/535][140175] Loss_D: -0.017908 Loss_G: 0.018566 Loss_D_real: -0.021833 Loss_D_fake -0.003925
[1359/5000][20/535][140176] Loss_D: -0.019574 Loss_G: 0.002303 Loss_D_real: -0.009980 Loss_D_fake 0.009594
[1359/5000][25/535][140177] Loss_D: -0.019459 Loss_G: -0.006726 Loss_D_real: -0.012476 Loss_D_fake 0.006983
[1359/5000][30/535][140178] Loss_D: -0.019429 Loss_G: 0.006307 Loss_D_real: -0.020204 Loss_D_fake -0.000774
[1359/5000][35/535][140179] Loss_D: -0.018362 Loss_G: 0.014755 Loss_D_real: -0.021061 Loss_D_fake -0.002699
[1359/5000][40/535][140180] Loss_D: -0.020309 Loss_G: -0.009742 Loss_D_real: -0.016357 Loss_D_fake 0.003952
[1359/5000][45/535][140181] Loss_D: -0.019166 Loss_G: 0.006341 Loss_D_real: -0.015444 Loss_D_fake 0.003722
[1359/5000][50/535][140182] Loss_D: -0.019145 Loss_G: -0.011207 Loss_D_real: -0.000009 Loss_D_fake 0.019136
[1359/5000][55/535][140183] Loss_D: -0.019711 Loss_G: -0.011404 Loss_D_real: -0.007870 Loss_D_fake 0.011841
[1359/5000][60/535][140184] Loss_D: -0.020551 Loss_G: 0.015374 Loss_D_real: -0.020135 Loss_D_fake 0.000416
[1359/5000][65/535][140185] Loss_D: -0.020634 Loss_G: -0.009772 Loss_D_real: -0.001392 Loss_D_fake 0.019242
[1359/5000][70/535][140186] Loss_D: -0.019882 Loss_G: 0.006197 Loss_D_real: -0.013876 Loss_D_fake 0.006006
[1359/5000][75/535][140187] Loss_D: -0.019088 Loss_G: -0.019895 Loss_D_real: 0.001239 Loss_D_fake 0.020327
[1359/5000][80/535][140188] Loss_D: -0.019200 Loss_G: 0.008543 Loss_D_real: -0.023110 Loss_D_fake -0.003910
[1359/5000][85/535][140189] Loss_D: -0.021494 Loss_G: 0.006864 Loss_D_real: -0.018670 Loss_D_fake 0.002825
[1359/5000][90/535][140190] Loss_D: -0.019628 Loss_G: 0.015233 Loss_D_real: -0.016511 Loss_D_fake 0.003117
[1359/5000][95/535][140191] Loss_D: -0.020820 Loss_G: 0.013320 Loss_D_real: -0.024245 Loss_D_fake -0.003425
[1359/5000][100/535][140192] Loss_D: -0.019026 Loss_G: 0.014800 Loss_D_real: -0.024768 Loss_D_fake -0.005741
[1359/5000][105/535][140193] Loss_D: -0.019344 Loss_G: 0.029177 Loss_D_real: -0.038594 Loss_D_fake -0.019250
[1359/5000][110/535][140194] Loss_D: -0.019863 Loss_G: -0.010351 Loss_D_real: -0.010544 Loss_D_fake 0.009320
[1359/5000][115/535][140195] Loss_D: -0.021691 Loss_G: 0.006228 Loss_D_real: -0.019808 Loss_D_fake 0.001882
[1359/5000][120/535][140196] Loss_D: -0.019299 Loss_G: -0.007590 Loss_D_real: 0.000600 Loss_D_fake 0.019899
[1359/5000][125/535][140197] Loss_D: -0.019338 Loss_G: 0.012737 Loss_D_real: -0.021499 Loss_D_fake -0.002160
[1359/5000][130/535][140198] Loss_D: -0.019961 Loss_G: 0.011667 Loss_D_real: -0.012636 Loss_D_fake 0.007325
[1359/5000][135/535][140199] Loss_D: -0.019135 Loss_G: 0.001066 Loss_D_real: -0.020083 Loss_D_fake -0.000948
[1359/5000][140/535][140200] Loss_D: -0.019596 Loss_G: -0.000080 Loss_D_real: -0.007514 Loss_D_fake 0.012082
[1359/5000][145/535][140201] Loss_D: -0.020299 Loss_G: 0.023594 Loss_D_real: -0.023222 Loss_D_fake -0.002923
[1359/5000][150/535][140202] Loss_D: -0.019575 Loss_G: 0.007351 Loss_D_real: -0.010094 Loss_D_fake 0.009481
[1359/5000][155/535][140203] Loss_D: -0.019105 Loss_G: -0.008641 Loss_D_real: -0.018324 Loss_D_fake 0.000780
[1359/5000][160/535][140204] Loss_D: -0.019149 Loss_G: 0.003915 Loss_D_real: -0.020500 Loss_D_fake -0.001351
[1359/5000][165/535][140205] Loss_D: -0.018533 Loss_G: 0.018970 Loss_D_real: -0.035960 Loss_D_fake -0.017427
[1359/5000][170/535][140206] Loss_D: -0.021134 Loss_G: 0.011381 Loss_D_real: -0.009411 Loss_D_fake 0.011723
[1359/5000][175/535][140207] Loss_D: -0.018484 Loss_G: 0.016946 Loss_D_real: -0.022165 Loss_D_fake -0.003681
[1359/5000][180/535][140208] Loss_D: -0.019255 Loss_G: -0.011804 Loss_D_real: -0.002414 Loss_D_fake 0.016841
[1359/5000][185/535][140209] Loss_D: -0.019453 Loss_G: -0.011043 Loss_D_real: -0.010429 Loss_D_fake 0.009024
[1359/5000][190/535][140210] Loss_D: -0.019538 Loss_G: 0.013017 Loss_D_real: -0.024663 Loss_D_fake -0.005125
[1359/5000][195/535][140211] Loss_D: -0.020198 Loss_G: 0.001117 Loss_D_real: -0.008502 Loss_D_fake 0.011697
[1359/5000][200/535][140212] Loss_D: -0.019671 Loss_G: -0.011495 Loss_D_real: -0.002482 Loss_D_fake 0.017189
[1359/5000][205/535][140213] Loss_D: -0.020879 Loss_G: 0.023966 Loss_D_real: -0.021207 Loss_D_fake -0.000328
[1359/5000][210/535][140214] Loss_D: -0.020222 Loss_G: -0.002075 Loss_D_real: -0.008699 Loss_D_fake 0.011523
[1359/5000][215/535][140215] Loss_D: -0.020004 Loss_G: -0.002307 Loss_D_real: -0.021040 Loss_D_fake -0.001036
[1359/5000][220/535][140216] Loss_D: -0.018731 Loss_G: -0.003492 Loss_D_real: -0.004142 Loss_D_fake 0.014589
[1359/5000][225/535][140217] Loss_D: -0.019436 Loss_G: 0.001148 Loss_D_real: -0.014656 Loss_D_fake 0.004780
[1359/5000][230/535][140218] Loss_D: -0.021138 Loss_G: 0.023500 Loss_D_real: -0.015503 Loss_D_fake 0.005636
[1359/5000][235/535][140219] Loss_D: -0.019189 Loss_G: 0.014905 Loss_D_real: -0.019944 Loss_D_fake -0.000755
[1359/5000][240/535][140220] Loss_D: -0.021541 Loss_G: 0.009966 Loss_D_real: -0.024613 Loss_D_fake -0.003072
[1359/5000][245/535][140221] Loss_D: -0.021486 Loss_G: 0.002556 Loss_D_real: -0.013167 Loss_D_fake 0.008319
[1359/5000][250/535][140222] Loss_D: -0.019472 Loss_G: 0.000649 Loss_D_real: -0.012016 Loss_D_fake 0.007456
[1359/5000][255/535][140223] Loss_D: -0.020245 Loss_G: 0.006635 Loss_D_real: -0.020636 Loss_D_fake -0.000391
[1359/5000][260/535][140224] Loss_D: -0.018693 Loss_G: 0.021409 Loss_D_real: -0.032105 Loss_D_fake -0.013413
[1359/5000][265/535][140225] Loss_D: -0.020115 Loss_G: 0.009765 Loss_D_real: -0.014109 Loss_D_fake 0.006006
[1359/5000][270/535][140226] Loss_D: -0.017237 Loss_G: 0.012921 Loss_D_real: -0.025975 Loss_D_fake -0.008737
[1359/5000][275/535][140227] Loss_D: -0.019790 Loss_G: 0.007293 Loss_D_real: -0.017941 Loss_D_fake 0.001849
[1359/5000][280/535][140228] Loss_D: -0.019399 Loss_G: -0.006208 Loss_D_real: -0.012970 Loss_D_fake 0.006429
[1359/5000][285/535][140229] Loss_D: -0.020639 Loss_G: 0.014933 Loss_D_real: -0.019777 Loss_D_fake 0.000862
[1359/5000][290/535][140230] Loss_D: -0.019529 Loss_G: -0.001164 Loss_D_real: -0.021054 Loss_D_fake -0.001525
[1359/5000][295/535][140231] Loss_D: -0.020069 Loss_G: 0.014852 Loss_D_real: -0.021933 Loss_D_fake -0.001864
[1359/5000][300/535][140232] Loss_D: -0.019718 Loss_G: -0.004646 Loss_D_real: -0.008620 Loss_D_fake 0.011098
[1359/5000][305/535][140233] Loss_D: -0.020102 Loss_G: 0.015512 Loss_D_real: -0.030105 Loss_D_fake -0.010003
[1359/5000][310/535][140234] Loss_D: -0.020026 Loss_G: 0.024975 Loss_D_real: -0.024810 Loss_D_fake -0.004783
[1359/5000][315/535][140235] Loss_D: -0.021476 Loss_G: 0.001190 Loss_D_real: -0.012536 Loss_D_fake 0.008940
[1359/5000][320/535][140236] Loss_D: -0.020409 Loss_G: 0.015189 Loss_D_real: -0.021545 Loss_D_fake -0.001136
[1359/5000][325/535][140237] Loss_D: -0.020696 Loss_G: 0.002137 Loss_D_real: -0.017487 Loss_D_fake 0.003209
[1359/5000][330/535][140238] Loss_D: -0.019642 Loss_G: -0.021657 Loss_D_real: -0.009226 Loss_D_fake 0.010415
[1359/5000][335/535][140239] Loss_D: -0.019662 Loss_G: 0.017089 Loss_D_real: -0.024676 Loss_D_fake -0.005014
[1359/5000][340/535][140240] Loss_D: -0.020235 Loss_G: 0.007689 Loss_D_real: -0.015998 Loss_D_fake 0.004238
[1359/5000][345/535][140241] Loss_D: -0.021214 Loss_G: 0.001168 Loss_D_real: -0.011435 Loss_D_fake 0.009779
[1359/5000][350/535][140242] Loss_D: -0.020136 Loss_G: -0.003707 Loss_D_real: -0.009357 Loss_D_fake 0.010779
[1359/5000][355/535][140243] Loss_D: -0.019696 Loss_G: 0.012275 Loss_D_real: -0.024842 Loss_D_fake -0.005146
[1359/5000][360/535][140244] Loss_D: -0.019519 Loss_G: -0.007962 Loss_D_real: 0.001919 Loss_D_fake 0.021439
[1359/5000][365/535][140245] Loss_D: -0.020247 Loss_G: -0.007106 Loss_D_real: -0.010535 Loss_D_fake 0.009711
[1359/5000][370/535][140246] Loss_D: -0.018860 Loss_G: 0.009571 Loss_D_real: -0.018651 Loss_D_fake 0.000209
[1359/5000][375/535][140247] Loss_D: -0.019079 Loss_G: 0.002829 Loss_D_real: -0.001612 Loss_D_fake 0.017467
[1359/5000][380/535][140248] Loss_D: -0.019248 Loss_G: -0.013511 Loss_D_real: -0.007507 Loss_D_fake 0.011740
[1359/5000][385/535][140249] Loss_D: -0.018719 Loss_G: 0.014677 Loss_D_real: -0.024967 Loss_D_fake -0.006248
[1359/5000][390/535][140250] Loss_D: -0.019450 Loss_G: 0.016342 Loss_D_real: -0.022484 Loss_D_fake -0.003034
[1359/5000][395/535][140251] Loss_D: -0.017938 Loss_G: 0.027024 Loss_D_real: -0.033243 Loss_D_fake -0.015305
[1359/5000][400/535][140252] Loss_D: -0.018646 Loss_G: -0.001625 Loss_D_real: -0.007522 Loss_D_fake 0.011125
[1359/5000][405/535][140253] Loss_D: -0.019002 Loss_G: -0.006871 Loss_D_real: -0.005510 Loss_D_fake 0.013492
[1359/5000][410/535][140254] Loss_D: -0.019748 Loss_G: 0.006763 Loss_D_real: -0.026671 Loss_D_fake -0.006923
[1359/5000][415/535][140255] Loss_D: -0.019642 Loss_G: 0.001685 Loss_D_real: -0.001210 Loss_D_fake 0.018432
[1359/5000][420/535][140256] Loss_D: -0.020052 Loss_G: 0.004159 Loss_D_real: -0.003947 Loss_D_fake 0.016106
[1359/5000][425/535][140257] Loss_D: -0.019033 Loss_G: 0.002900 Loss_D_real: -0.022514 Loss_D_fake -0.003481
[1359/5000][430/535][140258] Loss_D: -0.021545 Loss_G: 0.008012 Loss_D_real: -0.018831 Loss_D_fake 0.002714
[1359/5000][435/535][140259] Loss_D: -0.020014 Loss_G: 0.019375 Loss_D_real: -0.005888 Loss_D_fake 0.014126
[1359/5000][440/535][140260] Loss_D: -0.019909 Loss_G: 0.001638 Loss_D_real: -0.004876 Loss_D_fake 0.015033
[1359/5000][445/535][140261] Loss_D: -0.020513 Loss_G: -0.003063 Loss_D_real: -0.026656 Loss_D_fake -0.006144
[1359/5000][450/535][140262] Loss_D: -0.019458 Loss_G: 0.002482 Loss_D_real: -0.010905 Loss_D_fake 0.008553
[1359/5000][455/535][140263] Loss_D: -0.019795 Loss_G: 0.012058 Loss_D_real: -0.019442 Loss_D_fake 0.000353
[1359/5000][460/535][140264] Loss_D: -0.020685 Loss_G: 0.006291 Loss_D_real: -0.018312 Loss_D_fake 0.002373
[1359/5000][465/535][140265] Loss_D: -0.019636 Loss_G: 0.006495 Loss_D_real: -0.019619 Loss_D_fake 0.000017
[1359/5000][470/535][140266] Loss_D: -0.019226 Loss_G: 0.024756 Loss_D_real: -0.029936 Loss_D_fake -0.010710
[1359/5000][475/535][140267] Loss_D: -0.020430 Loss_G: -0.011249 Loss_D_real: -0.020801 Loss_D_fake -0.000371
[1359/5000][480/535][140268] Loss_D: -0.019633 Loss_G: 0.000539 Loss_D_real: 0.001164 Loss_D_fake 0.020797
[1359/5000][485/535][140269] Loss_D: -0.020742 Loss_G: -0.006247 Loss_D_real: -0.011723 Loss_D_fake 0.009019
[1359/5000][490/535][140270] Loss_D: -0.019759 Loss_G: 0.006875 Loss_D_real: -0.013063 Loss_D_fake 0.006696
[1359/5000][495/535][140271] Loss_D: -0.019540 Loss_G: 0.018600 Loss_D_real: -0.021934 Loss_D_fake -0.002395
[1359/5000][500/535][140272] Loss_D: -0.018549 Loss_G: 0.024311 Loss_D_real: -0.027907 Loss_D_fake -0.009358
[1359/5000][505/535][140273] Loss_D: -0.020640 Loss_G: -0.004905 Loss_D_real: -0.001879 Loss_D_fake 0.018761
[1359/5000][510/535][140274] Loss_D: -0.020266 Loss_G: 0.000716 Loss_D_real: -0.014435 Loss_D_fake 0.005831
[1359/5000][515/535][140275] Loss_D: -0.021606 Loss_G: 0.011070 Loss_D_real: -0.019409 Loss_D_fake 0.002197
[1359/5000][520/535][140276] Loss_D: -0.020903 Loss_G: 0.003305 Loss_D_real: -0.016697 Loss_D_fake 0.004206
[1359/5000][525/535][140277] Loss_D: -0.018947 Loss_G: -0.012188 Loss_D_real: -0.009135 Loss_D_fake 0.009813
[1359/5000][530/535][140278] Loss_D: -0.019035 Loss_G: 0.019635 Loss_D_real: -0.026933 Loss_D_fake -0.007899
[1359/5000][535/535][140279] Loss_D: -0.017706 Loss_G: 0.046676 Loss_D_real: -0.016801 Loss_D_fake 0.000906
[1360/5000][5/535][140280] Loss_D: -0.020564 Loss_G: -0.014696 Loss_D_real: -0.016940 Loss_D_fake 0.003624
[1360/5000][10/535][140281] Loss_D: -0.018840 Loss_G: 0.000868 Loss_D_real: -0.012756 Loss_D_fake 0.006085
[1360/5000][15/535][140282] Loss_D: -0.019414 Loss_G: 0.013724 Loss_D_real: -0.031904 Loss_D_fake -0.012490
[1360/5000][20/535][140283] Loss_D: -0.020185 Loss_G: 0.004725 Loss_D_real: -0.011723 Loss_D_fake 0.008462
[1360/5000][25/535][140284] Loss_D: -0.020970 Loss_G: 0.015934 Loss_D_real: -0.018491 Loss_D_fake 0.002479
[1360/5000][30/535][140285] Loss_D: -0.021267 Loss_G: -0.007037 Loss_D_real: -0.012122 Loss_D_fake 0.009144
[1360/5000][35/535][140286] Loss_D: -0.020219 Loss_G: 0.003790 Loss_D_real: -0.012797 Loss_D_fake 0.007422
[1360/5000][40/535][140287] Loss_D: -0.019670 Loss_G: -0.005740 Loss_D_real: -0.009237 Loss_D_fake 0.010433
[1360/5000][45/535][140288] Loss_D: -0.019614 Loss_G: 0.003443 Loss_D_real: -0.027195 Loss_D_fake -0.007581
[1360/5000][50/535][140289] Loss_D: -0.018629 Loss_G: -0.009921 Loss_D_real: 0.012125 Loss_D_fake 0.030754
[1360/5000][55/535][140290] Loss_D: -0.019952 Loss_G: 0.021959 Loss_D_real: -0.032271 Loss_D_fake -0.012320
[1360/5000][60/535][140291] Loss_D: -0.019762 Loss_G: -0.009605 Loss_D_real: -0.010771 Loss_D_fake 0.008991
[1360/5000][65/535][140292] Loss_D: -0.020003 Loss_G: 0.012376 Loss_D_real: -0.016324 Loss_D_fake 0.003678
[1360/5000][70/535][140293] Loss_D: -0.020097 Loss_G: -0.001437 Loss_D_real: -0.000535 Loss_D_fake 0.019562
[1360/5000][75/535][140294] Loss_D: -0.018590 Loss_G: 0.006597 Loss_D_real: -0.023164 Loss_D_fake -0.004574
[1360/5000][80/535][140295] Loss_D: -0.020722 Loss_G: 0.001218 Loss_D_real: -0.019950 Loss_D_fake 0.000772
[1360/5000][85/535][140296] Loss_D: -0.019655 Loss_G: 0.014656 Loss_D_real: -0.020613 Loss_D_fake -0.000957
[1360/5000][90/535][140297] Loss_D: -0.018740 Loss_G: -0.010691 Loss_D_real: -0.001636 Loss_D_fake 0.017104
[1360/5000][95/535][140298] Loss_D: -0.020790 Loss_G: 0.008628 Loss_D_real: -0.022948 Loss_D_fake -0.002158
[1360/5000][100/535][140299] Loss_D: -0.019666 Loss_G: -0.003965 Loss_D_real: -0.008089 Loss_D_fake 0.011577
[1360/5000][105/535][140300] Loss_D: -0.019515 Loss_G: 0.008280 Loss_D_real: -0.011627 Loss_D_fake 0.007888
[1360/5000][110/535][140301] Loss_D: -0.019269 Loss_G: 0.008337 Loss_D_real: -0.023111 Loss_D_fake -0.003842
[1360/5000][115/535][140302] Loss_D: -0.020575 Loss_G: 0.005730 Loss_D_real: -0.011488 Loss_D_fake 0.009088
[1360/5000][120/535][140303] Loss_D: -0.020534 Loss_G: 0.024484 Loss_D_real: -0.023553 Loss_D_fake -0.003019
[1360/5000][125/535][140304] Loss_D: -0.018897 Loss_G: 0.012168 Loss_D_real: -0.026724 Loss_D_fake -0.007827
[1360/5000][130/535][140305] Loss_D: -0.018325 Loss_G: 0.011909 Loss_D_real: -0.029574 Loss_D_fake -0.011248
[1360/5000][135/535][140306] Loss_D: -0.017340 Loss_G: 0.020590 Loss_D_real: -0.036455 Loss_D_fake -0.019115
[1360/5000][140/535][140307] Loss_D: -0.020949 Loss_G: 0.008929 Loss_D_real: -0.024008 Loss_D_fake -0.003060
[1360/5000][145/535][140308] Loss_D: -0.019536 Loss_G: 0.020367 Loss_D_real: -0.013674 Loss_D_fake 0.005862
[1360/5000][150/535][140309] Loss_D: -0.020939 Loss_G: -0.002945 Loss_D_real: -0.021018 Loss_D_fake -0.000079
[1360/5000][155/535][140310] Loss_D: -0.021085 Loss_G: -0.010290 Loss_D_real: -0.002414 Loss_D_fake 0.018671
[1360/5000][160/535][140311] Loss_D: -0.021220 Loss_G: 0.005997 Loss_D_real: -0.018549 Loss_D_fake 0.002671
[1360/5000][165/535][140312] Loss_D: -0.020314 Loss_G: 0.026947 Loss_D_real: -0.026269 Loss_D_fake -0.005955
[1360/5000][170/535][140313] Loss_D: -0.017869 Loss_G: 0.016291 Loss_D_real: -0.019941 Loss_D_fake -0.002073
[1360/5000][175/535][140314] Loss_D: -0.020038 Loss_G: 0.007720 Loss_D_real: -0.028080 Loss_D_fake -0.008042
[1360/5000][180/535][140315] Loss_D: -0.019736 Loss_G: 0.015390 Loss_D_real: -0.023084 Loss_D_fake -0.003348
[1360/5000][185/535][140316] Loss_D: -0.019567 Loss_G: -0.005977 Loss_D_real: -0.007981 Loss_D_fake 0.011585
[1360/5000][190/535][140317] Loss_D: -0.021509 Loss_G: 0.013264 Loss_D_real: -0.015492 Loss_D_fake 0.006017
[1360/5000][195/535][140318] Loss_D: -0.018479 Loss_G: 0.025388 Loss_D_real: -0.028928 Loss_D_fake -0.010450
[1360/5000][200/535][140319] Loss_D: -0.019958 Loss_G: -0.003478 Loss_D_real: -0.013430 Loss_D_fake 0.006528
[1360/5000][205/535][140320] Loss_D: -0.019262 Loss_G: 0.004425 Loss_D_real: -0.020103 Loss_D_fake -0.000841
[1360/5000][210/535][140321] Loss_D: -0.019518 Loss_G: 0.013958 Loss_D_real: -0.004930 Loss_D_fake 0.014588
[1360/5000][215/535][140322] Loss_D: -0.019054 Loss_G: 0.013807 Loss_D_real: -0.016053 Loss_D_fake 0.003001
[1360/5000][220/535][140323] Loss_D: -0.018647 Loss_G: 0.013903 Loss_D_real: -0.018109 Loss_D_fake 0.000538
[1360/5000][225/535][140324] Loss_D: -0.018873 Loss_G: 0.004055 Loss_D_real: -0.023227 Loss_D_fake -0.004354
[1360/5000][230/535][140325] Loss_D: -0.020101 Loss_G: -0.010883 Loss_D_real: -0.008886 Loss_D_fake 0.011215
[1360/5000][235/535][140326] Loss_D: -0.020964 Loss_G: 0.011092 Loss_D_real: -0.029272 Loss_D_fake -0.008307
[1360/5000][240/535][140327] Loss_D: -0.019401 Loss_G: 0.006425 Loss_D_real: -0.008550 Loss_D_fake 0.010851
[1360/5000][245/535][140328] Loss_D: -0.019506 Loss_G: 0.023207 Loss_D_real: -0.029580 Loss_D_fake -0.010073
[1360/5000][250/535][140329] Loss_D: -0.019140 Loss_G: -0.010556 Loss_D_real: -0.005371 Loss_D_fake 0.013769
[1360/5000][255/535][140330] Loss_D: -0.018681 Loss_G: 0.020433 Loss_D_real: -0.022741 Loss_D_fake -0.004060
[1360/5000][260/535][140331] Loss_D: -0.020103 Loss_G: 0.019722 Loss_D_real: -0.030727 Loss_D_fake -0.010624
[1360/5000][265/535][140332] Loss_D: -0.018797 Loss_G: 0.015898 Loss_D_real: -0.025792 Loss_D_fake -0.006995
[1360/5000][270/535][140333] Loss_D: -0.021133 Loss_G: -0.014401 Loss_D_real: -0.007316 Loss_D_fake 0.013817
[1360/5000][275/535][140334] Loss_D: -0.019773 Loss_G: -0.009817 Loss_D_real: -0.002426 Loss_D_fake 0.017347
[1360/5000][280/535][140335] Loss_D: -0.020241 Loss_G: 0.026753 Loss_D_real: -0.016674 Loss_D_fake 0.003567
[1360/5000][285/535][140336] Loss_D: -0.020474 Loss_G: 0.001684 Loss_D_real: -0.014686 Loss_D_fake 0.005788
[1360/5000][290/535][140337] Loss_D: -0.019628 Loss_G: 0.031444 Loss_D_real: -0.026515 Loss_D_fake -0.006887
[1360/5000][295/535][140338] Loss_D: -0.017575 Loss_G: -0.000439 Loss_D_real: -0.022264 Loss_D_fake -0.004689
[1360/5000][300/535][140339] Loss_D: -0.019864 Loss_G: 0.004000 Loss_D_real: -0.019600 Loss_D_fake 0.000264
[1360/5000][305/535][140340] Loss_D: -0.019165 Loss_G: 0.007990 Loss_D_real: -0.015064 Loss_D_fake 0.004101
[1360/5000][310/535][140341] Loss_D: -0.020292 Loss_G: -0.008136 Loss_D_real: -0.014176 Loss_D_fake 0.006117
[1360/5000][315/535][140342] Loss_D: -0.019288 Loss_G: 0.020023 Loss_D_real: -0.023462 Loss_D_fake -0.004174
[1360/5000][320/535][140343] Loss_D: -0.019601 Loss_G: 0.017046 Loss_D_real: -0.014071 Loss_D_fake 0.005530
[1360/5000][325/535][140344] Loss_D: -0.020864 Loss_G: -0.003629 Loss_D_real: -0.013623 Loss_D_fake 0.007240
[1360/5000][330/535][140345] Loss_D: -0.019257 Loss_G: 0.000244 Loss_D_real: -0.010863 Loss_D_fake 0.008395
[1360/5000][335/535][140346] Loss_D: -0.020746 Loss_G: 0.004995 Loss_D_real: -0.016853 Loss_D_fake 0.003893
[1360/5000][340/535][140347] Loss_D: -0.018623 Loss_G: 0.034118 Loss_D_real: -0.037321 Loss_D_fake -0.018697
[1360/5000][345/535][140348] Loss_D: -0.020420 Loss_G: 0.010041 Loss_D_real: -0.019203 Loss_D_fake 0.001217
[1360/5000][350/535][140349] Loss_D: -0.020668 Loss_G: -0.013063 Loss_D_real: 0.000061 Loss_D_fake 0.020729
[1360/5000][355/535][140350] Loss_D: -0.019792 Loss_G: 0.018391 Loss_D_real: -0.024147 Loss_D_fake -0.004355
[1360/5000][360/535][140351] Loss_D: -0.020606 Loss_G: -0.000482 Loss_D_real: -0.009940 Loss_D_fake 0.010667
[1360/5000][365/535][140352] Loss_D: -0.020445 Loss_G: -0.008757 Loss_D_real: 0.007329 Loss_D_fake 0.027775
[1360/5000][370/535][140353] Loss_D: -0.020194 Loss_G: 0.017324 Loss_D_real: -0.025805 Loss_D_fake -0.005611
[1360/5000][375/535][140354] Loss_D: -0.019737 Loss_G: 0.025789 Loss_D_real: -0.025578 Loss_D_fake -0.005842
[1360/5000][380/535][140355] Loss_D: -0.020190 Loss_G: 0.025925 Loss_D_real: -0.032541 Loss_D_fake -0.012351
[1360/5000][385/535][140356] Loss_D: -0.020093 Loss_G: 0.003238 Loss_D_real: -0.016798 Loss_D_fake 0.003295
[1360/5000][390/535][140357] Loss_D: -0.020411 Loss_G: -0.003514 Loss_D_real: -0.016925 Loss_D_fake 0.003485
[1360/5000][395/535][140358] Loss_D: -0.020816 Loss_G: 0.003623 Loss_D_real: -0.029525 Loss_D_fake -0.008709
[1360/5000][400/535][140359] Loss_D: -0.020924 Loss_G: 0.005391 Loss_D_real: -0.020771 Loss_D_fake 0.000152
[1360/5000][405/535][140360] Loss_D: -0.020312 Loss_G: 0.018630 Loss_D_real: -0.017243 Loss_D_fake 0.003069
[1360/5000][410/535][140361] Loss_D: -0.019819 Loss_G: 0.014442 Loss_D_real: -0.015521 Loss_D_fake 0.004298
[1360/5000][415/535][140362] Loss_D: -0.019833 Loss_G: -0.011628 Loss_D_real: -0.008709 Loss_D_fake 0.011125
[1360/5000][420/535][140363] Loss_D: -0.021195 Loss_G: 0.007460 Loss_D_real: -0.028778 Loss_D_fake -0.007583
[1360/5000][425/535][140364] Loss_D: -0.020626 Loss_G: 0.006651 Loss_D_real: -0.017119 Loss_D_fake 0.003507
[1360/5000][430/535][140365] Loss_D: -0.020217 Loss_G: -0.013165 Loss_D_real: -0.010329 Loss_D_fake 0.009888
[1360/5000][435/535][140366] Loss_D: -0.018875 Loss_G: 0.021347 Loss_D_real: -0.036878 Loss_D_fake -0.018003
[1360/5000][440/535][140367] Loss_D: -0.020368 Loss_G: 0.014125 Loss_D_real: -0.007241 Loss_D_fake 0.013128
[1360/5000][445/535][140368] Loss_D: -0.021810 Loss_G: 0.010150 Loss_D_real: -0.021709 Loss_D_fake 0.000101
[1360/5000][450/535][140369] Loss_D: -0.019505 Loss_G: 0.020968 Loss_D_real: -0.026479 Loss_D_fake -0.006974
[1360/5000][455/535][140370] Loss_D: -0.020282 Loss_G: -0.004988 Loss_D_real: -0.012869 Loss_D_fake 0.007412
[1360/5000][460/535][140371] Loss_D: -0.018036 Loss_G: -0.009161 Loss_D_real: -0.001691 Loss_D_fake 0.016345
[1360/5000][465/535][140372] Loss_D: -0.019013 Loss_G: 0.014302 Loss_D_real: -0.035096 Loss_D_fake -0.016083
[1360/5000][470/535][140373] Loss_D: -0.019882 Loss_G: 0.017268 Loss_D_real: -0.028238 Loss_D_fake -0.008357
[1360/5000][475/535][140374] Loss_D: -0.020319 Loss_G: -0.006434 Loss_D_real: -0.018313 Loss_D_fake 0.002005
[1360/5000][480/535][140375] Loss_D: -0.018691 Loss_G: 0.022241 Loss_D_real: -0.018786 Loss_D_fake -0.000094
[1360/5000][485/535][140376] Loss_D: -0.018835 Loss_G: 0.024142 Loss_D_real: -0.032058 Loss_D_fake -0.013223
[1360/5000][490/535][140377] Loss_D: -0.018460 Loss_G: 0.020234 Loss_D_real: -0.038923 Loss_D_fake -0.020464
[1360/5000][495/535][140378] Loss_D: -0.020779 Loss_G: 0.016207 Loss_D_real: -0.021239 Loss_D_fake -0.000460
[1360/5000][500/535][140379] Loss_D: -0.019663 Loss_G: 0.002795 Loss_D_real: -0.026927 Loss_D_fake -0.007264
[1360/5000][505/535][140380] Loss_D: -0.019008 Loss_G: 0.013528 Loss_D_real: -0.025369 Loss_D_fake -0.006362
[1360/5000][510/535][140381] Loss_D: -0.019852 Loss_G: 0.014782 Loss_D_real: -0.032589 Loss_D_fake -0.012736
[1360/5000][515/535][140382] Loss_D: -0.019671 Loss_G: 0.005681 Loss_D_real: -0.007990 Loss_D_fake 0.011681
[1360/5000][520/535][140383] Loss_D: -0.020439 Loss_G: 0.001360 Loss_D_real: -0.014469 Loss_D_fake 0.005970
[1360/5000][525/535][140384] Loss_D: -0.019781 Loss_G: -0.002249 Loss_D_real: -0.002436 Loss_D_fake 0.017345
[1360/5000][530/535][140385] Loss_D: -0.019146 Loss_G: 0.010696 Loss_D_real: -0.023050 Loss_D_fake -0.003904
[1360/5000][535/535][140386] Loss_D: -0.021056 Loss_G: -0.033594 Loss_D_real: -0.022722 Loss_D_fake -0.001666
[1361/5000][5/535][140387] Loss_D: -0.020077 Loss_G: 0.004440 Loss_D_real: -0.020302 Loss_D_fake -0.000225
[1361/5000][10/535][140388] Loss_D: -0.020648 Loss_G: 0.019571 Loss_D_real: -0.017767 Loss_D_fake 0.002881
[1361/5000][15/535][140389] Loss_D: -0.018636 Loss_G: 0.021515 Loss_D_real: -0.023344 Loss_D_fake -0.004707
[1361/5000][20/535][140390] Loss_D: -0.019808 Loss_G: 0.001594 Loss_D_real: -0.012599 Loss_D_fake 0.007209
[1361/5000][25/535][140391] Loss_D: -0.019717 Loss_G: -0.012325 Loss_D_real: -0.005518 Loss_D_fake 0.014198
[1361/5000][30/535][140392] Loss_D: -0.018956 Loss_G: 0.016613 Loss_D_real: -0.019994 Loss_D_fake -0.001038
[1361/5000][35/535][140393] Loss_D: -0.018547 Loss_G: 0.019990 Loss_D_real: -0.015450 Loss_D_fake 0.003096
[1361/5000][40/535][140394] Loss_D: -0.020923 Loss_G: -0.001472 Loss_D_real: -0.010027 Loss_D_fake 0.010896
[1361/5000][45/535][140395] Loss_D: -0.019522 Loss_G: 0.010355 Loss_D_real: -0.025192 Loss_D_fake -0.005670
[1361/5000][50/535][140396] Loss_D: -0.019160 Loss_G: -0.012660 Loss_D_real: 0.003356 Loss_D_fake 0.022516
[1361/5000][55/535][140397] Loss_D: -0.020652 Loss_G: 0.004076 Loss_D_real: -0.015543 Loss_D_fake 0.005109
[1361/5000][60/535][140398] Loss_D: -0.018514 Loss_G: 0.017713 Loss_D_real: -0.027986 Loss_D_fake -0.009472
[1361/5000][65/535][140399] Loss_D: -0.021448 Loss_G: 0.007606 Loss_D_real: -0.024012 Loss_D_fake -0.002565
[1361/5000][70/535][140400] Loss_D: -0.020399 Loss_G: 0.015074 Loss_D_real: -0.010881 Loss_D_fake 0.009518
[1361/5000][75/535][140401] Loss_D: -0.018185 Loss_G: -0.014116 Loss_D_real: 0.008742 Loss_D_fake 0.026927
[1361/5000][80/535][140402] Loss_D: -0.020545 Loss_G: 0.001864 Loss_D_real: -0.008117 Loss_D_fake 0.012427
[1361/5000][85/535][140403] Loss_D: -0.019053 Loss_G: 0.008314 Loss_D_real: -0.005354 Loss_D_fake 0.013700
[1361/5000][90/535][140404] Loss_D: -0.020813 Loss_G: 0.004417 Loss_D_real: -0.022745 Loss_D_fake -0.001933
[1361/5000][95/535][140405] Loss_D: -0.019231 Loss_G: 0.000723 Loss_D_real: -0.006175 Loss_D_fake 0.013057
[1361/5000][100/535][140406] Loss_D: -0.020146 Loss_G: 0.012459 Loss_D_real: -0.014651 Loss_D_fake 0.005495
[1361/5000][105/535][140407] Loss_D: -0.018552 Loss_G: -0.001613 Loss_D_real: -0.007004 Loss_D_fake 0.011547
[1361/5000][110/535][140408] Loss_D: -0.018639 Loss_G: 0.017523 Loss_D_real: -0.030499 Loss_D_fake -0.011860
[1361/5000][115/535][140409] Loss_D: -0.019002 Loss_G: -0.010433 Loss_D_real: -0.004902 Loss_D_fake 0.014100
[1361/5000][120/535][140410] Loss_D: -0.020355 Loss_G: -0.003180 Loss_D_real: -0.006698 Loss_D_fake 0.013657
[1361/5000][125/535][140411] Loss_D: -0.020419 Loss_G: 0.004964 Loss_D_real: -0.002986 Loss_D_fake 0.017433
[1361/5000][130/535][140412] Loss_D: -0.018909 Loss_G: 0.012423 Loss_D_real: -0.031618 Loss_D_fake -0.012708
[1361/5000][135/535][140413] Loss_D: -0.020718 Loss_G: 0.011829 Loss_D_real: -0.021961 Loss_D_fake -0.001243
[1361/5000][140/535][140414] Loss_D: -0.020158 Loss_G: 0.010027 Loss_D_real: -0.012237 Loss_D_fake 0.007920
[1361/5000][145/535][140415] Loss_D: -0.022023 Loss_G: -0.002951 Loss_D_real: -0.028225 Loss_D_fake -0.006202
[1361/5000][150/535][140416] Loss_D: -0.020005 Loss_G: 0.010853 Loss_D_real: -0.011477 Loss_D_fake 0.008528
[1361/5000][155/535][140417] Loss_D: -0.020245 Loss_G: 0.005344 Loss_D_real: -0.010452 Loss_D_fake 0.009793
[1361/5000][160/535][140418] Loss_D: -0.020531 Loss_G: -0.000102 Loss_D_real: -0.018175 Loss_D_fake 0.002356
[1361/5000][165/535][140419] Loss_D: -0.019434 Loss_G: 0.012796 Loss_D_real: -0.030471 Loss_D_fake -0.011037
[1361/5000][170/535][140420] Loss_D: -0.019140 Loss_G: 0.019023 Loss_D_real: -0.026139 Loss_D_fake -0.006999
[1361/5000][175/535][140421] Loss_D: -0.021000 Loss_G: 0.002170 Loss_D_real: -0.026225 Loss_D_fake -0.005225
[1361/5000][180/535][140422] Loss_D: -0.019603 Loss_G: 0.016733 Loss_D_real: -0.030923 Loss_D_fake -0.011320
[1361/5000][185/535][140423] Loss_D: -0.018023 Loss_G: -0.015614 Loss_D_real: 0.001367 Loss_D_fake 0.019390
[1361/5000][190/535][140424] Loss_D: -0.020534 Loss_G: 0.009810 Loss_D_real: -0.025061 Loss_D_fake -0.004527
[1361/5000][195/535][140425] Loss_D: -0.019216 Loss_G: 0.015216 Loss_D_real: -0.022152 Loss_D_fake -0.002936
[1361/5000][200/535][140426] Loss_D: -0.020929 Loss_G: 0.005798 Loss_D_real: -0.016303 Loss_D_fake 0.004625
[1361/5000][205/535][140427] Loss_D: -0.019810 Loss_G: 0.010418 Loss_D_real: -0.023721 Loss_D_fake -0.003911
[1361/5000][210/535][140428] Loss_D: -0.019927 Loss_G: -0.003234 Loss_D_real: -0.002141 Loss_D_fake 0.017786
[1361/5000][215/535][140429] Loss_D: -0.019132 Loss_G: -0.003077 Loss_D_real: -0.012392 Loss_D_fake 0.006740
[1361/5000][220/535][140430] Loss_D: -0.020056 Loss_G: -0.003902 Loss_D_real: -0.010265 Loss_D_fake 0.009792
[1361/5000][225/535][140431] Loss_D: -0.020903 Loss_G: 0.000517 Loss_D_real: -0.008407 Loss_D_fake 0.012496
[1361/5000][230/535][140432] Loss_D: -0.019078 Loss_G: -0.027288 Loss_D_real: -0.003034 Loss_D_fake 0.016044
[1361/5000][235/535][140433] Loss_D: -0.020060 Loss_G: -0.005495 Loss_D_real: -0.000509 Loss_D_fake 0.019551
[1361/5000][240/535][140434] Loss_D: -0.020272 Loss_G: 0.016221 Loss_D_real: -0.019516 Loss_D_fake 0.000757
[1361/5000][245/535][140435] Loss_D: -0.018636 Loss_G: -0.002075 Loss_D_real: -0.001705 Loss_D_fake 0.016931
[1361/5000][250/535][140436] Loss_D: -0.019056 Loss_G: 0.004368 Loss_D_real: -0.011638 Loss_D_fake 0.007418
[1361/5000][255/535][140437] Loss_D: -0.020140 Loss_G: 0.017841 Loss_D_real: -0.029393 Loss_D_fake -0.009253
[1361/5000][260/535][140438] Loss_D: -0.019821 Loss_G: 0.001820 Loss_D_real: -0.015627 Loss_D_fake 0.004194
[1361/5000][265/535][140439] Loss_D: -0.019557 Loss_G: 0.028689 Loss_D_real: -0.022699 Loss_D_fake -0.003142
[1361/5000][270/535][140440] Loss_D: -0.018311 Loss_G: 0.021040 Loss_D_real: -0.023324 Loss_D_fake -0.005013
[1361/5000][275/535][140441] Loss_D: -0.019771 Loss_G: 0.006083 Loss_D_real: -0.018858 Loss_D_fake 0.000913
[1361/5000][280/535][140442] Loss_D: -0.019997 Loss_G: 0.008920 Loss_D_real: -0.020331 Loss_D_fake -0.000333
[1361/5000][285/535][140443] Loss_D: -0.019052 Loss_G: -0.003390 Loss_D_real: -0.005512 Loss_D_fake 0.013540
[1361/5000][290/535][140444] Loss_D: -0.020618 Loss_G: 0.001911 Loss_D_real: -0.022960 Loss_D_fake -0.002342
[1361/5000][295/535][140445] Loss_D: -0.018809 Loss_G: 0.019601 Loss_D_real: -0.017440 Loss_D_fake 0.001368
[1361/5000][300/535][140446] Loss_D: -0.018979 Loss_G: -0.014464 Loss_D_real: -0.006255 Loss_D_fake 0.012724
[1361/5000][305/535][140447] Loss_D: -0.020783 Loss_G: 0.004662 Loss_D_real: -0.024252 Loss_D_fake -0.003469
[1361/5000][310/535][140448] Loss_D: -0.020546 Loss_G: -0.001817 Loss_D_real: -0.007747 Loss_D_fake 0.012799
[1361/5000][315/535][140449] Loss_D: -0.019528 Loss_G: -0.001410 Loss_D_real: 0.000889 Loss_D_fake 0.020416
[1361/5000][320/535][140450] Loss_D: -0.018729 Loss_G: 0.007494 Loss_D_real: -0.012543 Loss_D_fake 0.006185
[1361/5000][325/535][140451] Loss_D: -0.019943 Loss_G: 0.025111 Loss_D_real: -0.020980 Loss_D_fake -0.001037
[1361/5000][330/535][140452] Loss_D: -0.019674 Loss_G: 0.003084 Loss_D_real: -0.011340 Loss_D_fake 0.008334
[1361/5000][335/535][140453] Loss_D: -0.020590 Loss_G: 0.003790 Loss_D_real: -0.015656 Loss_D_fake 0.004935
[1361/5000][340/535][140454] Loss_D: -0.019373 Loss_G: -0.002497 Loss_D_real: 0.001855 Loss_D_fake 0.021228
[1361/5000][345/535][140455] Loss_D: -0.018551 Loss_G: -0.007609 Loss_D_real: -0.016259 Loss_D_fake 0.002291
[1361/5000][350/535][140456] Loss_D: -0.019211 Loss_G: 0.024908 Loss_D_real: -0.031219 Loss_D_fake -0.012008
[1361/5000][355/535][140457] Loss_D: -0.020599 Loss_G: -0.010337 Loss_D_real: -0.011569 Loss_D_fake 0.009030
[1361/5000][360/535][140458] Loss_D: -0.018343 Loss_G: 0.007179 Loss_D_real: -0.016696 Loss_D_fake 0.001647
[1361/5000][365/535][140459] Loss_D: -0.020183 Loss_G: -0.007484 Loss_D_real: -0.014096 Loss_D_fake 0.006086
[1361/5000][370/535][140460] Loss_D: -0.018989 Loss_G: 0.001531 Loss_D_real: -0.018979 Loss_D_fake 0.000009
[1361/5000][375/535][140461] Loss_D: -0.019484 Loss_G: 0.018019 Loss_D_real: -0.022945 Loss_D_fake -0.003462
[1361/5000][380/535][140462] Loss_D: -0.019371 Loss_G: -0.000241 Loss_D_real: -0.017361 Loss_D_fake 0.002010
[1361/5000][385/535][140463] Loss_D: -0.019302 Loss_G: 0.017158 Loss_D_real: -0.016747 Loss_D_fake 0.002554
[1361/5000][390/535][140464] Loss_D: -0.020111 Loss_G: 0.011716 Loss_D_real: -0.015377 Loss_D_fake 0.004734
[1361/5000][395/535][140465] Loss_D: -0.018811 Loss_G: -0.000040 Loss_D_real: -0.009069 Loss_D_fake 0.009742
[1361/5000][400/535][140466] Loss_D: -0.019425 Loss_G: -0.010104 Loss_D_real: -0.003379 Loss_D_fake 0.016046
[1361/5000][405/535][140467] Loss_D: -0.020581 Loss_G: 0.010946 Loss_D_real: 0.000874 Loss_D_fake 0.021455
[1361/5000][410/535][140468] Loss_D: -0.019884 Loss_G: 0.009088 Loss_D_real: 0.000198 Loss_D_fake 0.020082
[1361/5000][415/535][140469] Loss_D: -0.019255 Loss_G: 0.005187 Loss_D_real: -0.014035 Loss_D_fake 0.005220
[1361/5000][420/535][140470] Loss_D: -0.019279 Loss_G: -0.000254 Loss_D_real: -0.009474 Loss_D_fake 0.009805
[1361/5000][425/535][140471] Loss_D: -0.018908 Loss_G: 0.013482 Loss_D_real: -0.025606 Loss_D_fake -0.006698
[1361/5000][430/535][140472] Loss_D: -0.019329 Loss_G: 0.016579 Loss_D_real: -0.029727 Loss_D_fake -0.010398
[1361/5000][435/535][140473] Loss_D: -0.019869 Loss_G: -0.003106 Loss_D_real: -0.004533 Loss_D_fake 0.015336
[1361/5000][440/535][140474] Loss_D: -0.018345 Loss_G: -0.014762 Loss_D_real: -0.002223 Loss_D_fake 0.016121
[1361/5000][445/535][140475] Loss_D: -0.018625 Loss_G: -0.003689 Loss_D_real: -0.025879 Loss_D_fake -0.007254
[1361/5000][450/535][140476] Loss_D: -0.020014 Loss_G: -0.005084 Loss_D_real: -0.011024 Loss_D_fake 0.008989
[1361/5000][455/535][140477] Loss_D: -0.019971 Loss_G: -0.001854 Loss_D_real: -0.013870 Loss_D_fake 0.006101
[1361/5000][460/535][140478] Loss_D: -0.020366 Loss_G: 0.018843 Loss_D_real: -0.019395 Loss_D_fake 0.000971
[1361/5000][465/535][140479] Loss_D: -0.019677 Loss_G: 0.002591 Loss_D_real: -0.014208 Loss_D_fake 0.005469
[1361/5000][470/535][140480] Loss_D: -0.020107 Loss_G: 0.012284 Loss_D_real: 0.001997 Loss_D_fake 0.022103
[1361/5000][475/535][140481] Loss_D: -0.018961 Loss_G: 0.021156 Loss_D_real: -0.035251 Loss_D_fake -0.016290
[1361/5000][480/535][140482] Loss_D: -0.020081 Loss_G: -0.015599 Loss_D_real: -0.008968 Loss_D_fake 0.011114
[1361/5000][485/535][140483] Loss_D: -0.019271 Loss_G: 0.019639 Loss_D_real: -0.025853 Loss_D_fake -0.006582
[1361/5000][490/535][140484] Loss_D: -0.019665 Loss_G: 0.020961 Loss_D_real: -0.015285 Loss_D_fake 0.004381
[1361/5000][495/535][140485] Loss_D: -0.020811 Loss_G: -0.012713 Loss_D_real: -0.012657 Loss_D_fake 0.008154
[1361/5000][500/535][140486] Loss_D: -0.020466 Loss_G: -0.001610 Loss_D_real: -0.007617 Loss_D_fake 0.012849
[1361/5000][505/535][140487] Loss_D: -0.019744 Loss_G: 0.012740 Loss_D_real: -0.028202 Loss_D_fake -0.008458
[1361/5000][510/535][140488] Loss_D: -0.020044 Loss_G: 0.031839 Loss_D_real: -0.022699 Loss_D_fake -0.002655
[1361/5000][515/535][140489] Loss_D: -0.019506 Loss_G: 0.018752 Loss_D_real: -0.017780 Loss_D_fake 0.001726
[1361/5000][520/535][140490] Loss_D: -0.018556 Loss_G: 0.012250 Loss_D_real: -0.026904 Loss_D_fake -0.008348
[1361/5000][525/535][140491] Loss_D: -0.019699 Loss_G: 0.009025 Loss_D_real: -0.017603 Loss_D_fake 0.002096
[1361/5000][530/535][140492] Loss_D: -0.020201 Loss_G: 0.007895 Loss_D_real: -0.019031 Loss_D_fake 0.001170
[1361/5000][535/535][140493] Loss_D: -0.023433 Loss_G: -0.009746 Loss_D_real: -0.014198 Loss_D_fake 0.009235
[1362/5000][5/535][140494] Loss_D: -0.019896 Loss_G: 0.019746 Loss_D_real: -0.024247 Loss_D_fake -0.004352
[1362/5000][10/535][140495] Loss_D: -0.019983 Loss_G: 0.003412 Loss_D_real: -0.018620 Loss_D_fake 0.001363
[1362/5000][15/535][140496] Loss_D: -0.019770 Loss_G: 0.019640 Loss_D_real: -0.037744 Loss_D_fake -0.017974
[1362/5000][20/535][140497] Loss_D: -0.019036 Loss_G: 0.014900 Loss_D_real: -0.021934 Loss_D_fake -0.002898
[1362/5000][25/535][140498] Loss_D: -0.019921 Loss_G: -0.002687 Loss_D_real: -0.012354 Loss_D_fake 0.007567
[1362/5000][30/535][140499] Loss_D: -0.019766 Loss_G: -0.000498 Loss_D_real: -0.015100 Loss_D_fake 0.004666
[1362/5000][35/535][140500] Loss_D: -0.019508 Loss_G: 0.012718 Loss_D_real: -0.013503 Loss_D_fake 0.006005
[1362/5000][135/535][140501] Loss_D: -0.023982 Loss_G: 0.008662 Loss_D_real: -0.017829 Loss_D_fake 0.006153
[1362/5000][140/535][140502] Loss_D: -0.020498 Loss_G: 0.003555 Loss_D_real: -0.005903 Loss_D_fake 0.014595
[1362/5000][145/535][140503] Loss_D: -0.017646 Loss_G: 0.016185 Loss_D_real: -0.016836 Loss_D_fake 0.000810
[1362/5000][150/535][140504] Loss_D: -0.016962 Loss_G: -0.015649 Loss_D_real: -0.009608 Loss_D_fake 0.007354
[1362/5000][155/535][140505] Loss_D: -0.016895 Loss_G: 0.004862 Loss_D_real: -0.020162 Loss_D_fake -0.003268
[1362/5000][160/535][140506] Loss_D: -0.018722 Loss_G: -0.016534 Loss_D_real: -0.006481 Loss_D_fake 0.012241
[1362/5000][165/535][140507] Loss_D: -0.016623 Loss_G: 0.013554 Loss_D_real: -0.026146 Loss_D_fake -0.009522
[1362/5000][170/535][140508] Loss_D: -0.019995 Loss_G: 0.006683 Loss_D_real: -0.008266 Loss_D_fake 0.011729
[1362/5000][175/535][140509] Loss_D: -0.019489 Loss_G: 0.008467 Loss_D_real: -0.024473 Loss_D_fake -0.004984
[1362/5000][180/535][140510] Loss_D: -0.019033 Loss_G: 0.006303 Loss_D_real: -0.019068 Loss_D_fake -0.000035
[1362/5000][185/535][140511] Loss_D: -0.020124 Loss_G: -0.000108 Loss_D_real: -0.024944 Loss_D_fake -0.004820
[1362/5000][190/535][140512] Loss_D: -0.019156 Loss_G: 0.000687 Loss_D_real: -0.021523 Loss_D_fake -0.002367
[1362/5000][195/535][140513] Loss_D: -0.019364 Loss_G: 0.009291 Loss_D_real: -0.024033 Loss_D_fake -0.004668
[1362/5000][200/535][140514] Loss_D: -0.018516 Loss_G: 0.012848 Loss_D_real: -0.017297 Loss_D_fake 0.001220
[1362/5000][205/535][140515] Loss_D: -0.019432 Loss_G: 0.015392 Loss_D_real: -0.028370 Loss_D_fake -0.008938
[1362/5000][210/535][140516] Loss_D: -0.021110 Loss_G: -0.005504 Loss_D_real: -0.009057 Loss_D_fake 0.012052
[1362/5000][215/535][140517] Loss_D: -0.020320 Loss_G: 0.011678 Loss_D_real: -0.010583 Loss_D_fake 0.009737
[1362/5000][220/535][140518] Loss_D: -0.019511 Loss_G: 0.001337 Loss_D_real: -0.010540 Loss_D_fake 0.008971
[1362/5000][225/535][140519] Loss_D: -0.019370 Loss_G: 0.012952 Loss_D_real: -0.018296 Loss_D_fake 0.001073
[1362/5000][230/535][140520] Loss_D: -0.019237 Loss_G: -0.000011 Loss_D_real: -0.014574 Loss_D_fake 0.004663
[1362/5000][235/535][140521] Loss_D: -0.019174 Loss_G: 0.009317 Loss_D_real: -0.021802 Loss_D_fake -0.002629
[1362/5000][240/535][140522] Loss_D: -0.019396 Loss_G: 0.011341 Loss_D_real: -0.009184 Loss_D_fake 0.010213
[1362/5000][245/535][140523] Loss_D: -0.020668 Loss_G: 0.007297 Loss_D_real: -0.013598 Loss_D_fake 0.007070
[1362/5000][250/535][140524] Loss_D: -0.018901 Loss_G: 0.005895 Loss_D_real: -0.017694 Loss_D_fake 0.001207
[1362/5000][255/535][140525] Loss_D: -0.020061 Loss_G: 0.019997 Loss_D_real: -0.021813 Loss_D_fake -0.001751
[1362/5000][260/535][140526] Loss_D: -0.020097 Loss_G: 0.005453 Loss_D_real: -0.008415 Loss_D_fake 0.011682
[1362/5000][265/535][140527] Loss_D: -0.019332 Loss_G: 0.005315 Loss_D_real: -0.021566 Loss_D_fake -0.002233
[1362/5000][270/535][140528] Loss_D: -0.018622 Loss_G: 0.015277 Loss_D_real: -0.031266 Loss_D_fake -0.012644
[1362/5000][275/535][140529] Loss_D: -0.019075 Loss_G: 0.020463 Loss_D_real: -0.030054 Loss_D_fake -0.010979
[1362/5000][280/535][140530] Loss_D: -0.019707 Loss_G: -0.003700 Loss_D_real: -0.003251 Loss_D_fake 0.016456
[1362/5000][285/535][140531] Loss_D: -0.020340 Loss_G: 0.012667 Loss_D_real: -0.026512 Loss_D_fake -0.006172
[1362/5000][290/535][140532] Loss_D: -0.020201 Loss_G: 0.011082 Loss_D_real: -0.025647 Loss_D_fake -0.005446
[1362/5000][295/535][140533] Loss_D: -0.020558 Loss_G: -0.007318 Loss_D_real: -0.017289 Loss_D_fake 0.003269
[1362/5000][300/535][140534] Loss_D: -0.018288 Loss_G: -0.005268 Loss_D_real: -0.010977 Loss_D_fake 0.007311
[1362/5000][305/535][140535] Loss_D: -0.019528 Loss_G: -0.015815 Loss_D_real: 0.003304 Loss_D_fake 0.022832
[1362/5000][310/535][140536] Loss_D: -0.018034 Loss_G: 0.017806 Loss_D_real: -0.019471 Loss_D_fake -0.001437
[1362/5000][315/535][140537] Loss_D: -0.019152 Loss_G: 0.003915 Loss_D_real: -0.017148 Loss_D_fake 0.002003
[1362/5000][320/535][140538] Loss_D: -0.020048 Loss_G: 0.005187 Loss_D_real: -0.021446 Loss_D_fake -0.001399
[1362/5000][325/535][140539] Loss_D: -0.018636 Loss_G: 0.032253 Loss_D_real: -0.022775 Loss_D_fake -0.004140
[1362/5000][330/535][140540] Loss_D: -0.019320 Loss_G: 0.013661 Loss_D_real: -0.025249 Loss_D_fake -0.005929
[1362/5000][335/535][140541] Loss_D: -0.019736 Loss_G: 0.006532 Loss_D_real: -0.019693 Loss_D_fake 0.000044
[1362/5000][340/535][140542] Loss_D: -0.019490 Loss_G: 0.003733 Loss_D_real: -0.016051 Loss_D_fake 0.003439
[1362/5000][345/535][140543] Loss_D: -0.020793 Loss_G: 0.010126 Loss_D_real: -0.014993 Loss_D_fake 0.005800
[1362/5000][350/535][140544] Loss_D: -0.021087 Loss_G: 0.002218 Loss_D_real: -0.022861 Loss_D_fake -0.001774
[1362/5000][355/535][140545] Loss_D: -0.021926 Loss_G: 0.000659 Loss_D_real: -0.012097 Loss_D_fake 0.009829
[1362/5000][360/535][140546] Loss_D: -0.020298 Loss_G: -0.006534 Loss_D_real: -0.014635 Loss_D_fake 0.005663
[1362/5000][365/535][140547] Loss_D: -0.019698 Loss_G: 0.020036 Loss_D_real: -0.031220 Loss_D_fake -0.011522
[1362/5000][370/535][140548] Loss_D: -0.019349 Loss_G: 0.026881 Loss_D_real: -0.027321 Loss_D_fake -0.007972
[1362/5000][375/535][140549] Loss_D: -0.020144 Loss_G: -0.001922 Loss_D_real: -0.010013 Loss_D_fake 0.010131
[1362/5000][380/535][140550] Loss_D: -0.018911 Loss_G: 0.011109 Loss_D_real: -0.025142 Loss_D_fake -0.006231
[1362/5000][385/535][140551] Loss_D: -0.018832 Loss_G: 0.012934 Loss_D_real: -0.013134 Loss_D_fake 0.005698
[1362/5000][390/535][140552] Loss_D: -0.020346 Loss_G: 0.005518 Loss_D_real: -0.015970 Loss_D_fake 0.004377
[1362/5000][395/535][140553] Loss_D: -0.020703 Loss_G: 0.001976 Loss_D_real: -0.023432 Loss_D_fake -0.002730
[1362/5000][400/535][140554] Loss_D: -0.018971 Loss_G: 0.000007 Loss_D_real: -0.020393 Loss_D_fake -0.001422
[1362/5000][405/535][140555] Loss_D: -0.020056 Loss_G: 0.016581 Loss_D_real: -0.017306 Loss_D_fake 0.002750
[1362/5000][410/535][140556] Loss_D: -0.020499 Loss_G: -0.000870 Loss_D_real: -0.021415 Loss_D_fake -0.000916
[1362/5000][415/535][140557] Loss_D: -0.020044 Loss_G: -0.019247 Loss_D_real: -0.012288 Loss_D_fake 0.007756
[1362/5000][420/535][140558] Loss_D: -0.021995 Loss_G: 0.013855 Loss_D_real: -0.007103 Loss_D_fake 0.014892
[1362/5000][425/535][140559] Loss_D: -0.020048 Loss_G: 0.017225 Loss_D_real: -0.017832 Loss_D_fake 0.002217
[1362/5000][430/535][140560] Loss_D: -0.018393 Loss_G: 0.029352 Loss_D_real: -0.025111 Loss_D_fake -0.006718
[1362/5000][435/535][140561] Loss_D: -0.021471 Loss_G: 0.010120 Loss_D_real: -0.023990 Loss_D_fake -0.002519
[1362/5000][440/535][140562] Loss_D: -0.018712 Loss_G: -0.020551 Loss_D_real: -0.007179 Loss_D_fake 0.011533
[1362/5000][445/535][140563] Loss_D: -0.018408 Loss_G: 0.003612 Loss_D_real: -0.011450 Loss_D_fake 0.006957
[1362/5000][450/535][140564] Loss_D: -0.020413 Loss_G: 0.007783 Loss_D_real: -0.012575 Loss_D_fake 0.007837
[1362/5000][455/535][140565] Loss_D: -0.020101 Loss_G: -0.007847 Loss_D_real: -0.007740 Loss_D_fake 0.012361
[1362/5000][460/535][140566] Loss_D: -0.019188 Loss_G: 0.001184 Loss_D_real: -0.014704 Loss_D_fake 0.004484
[1362/5000][465/535][140567] Loss_D: -0.019690 Loss_G: 0.014278 Loss_D_real: -0.020880 Loss_D_fake -0.001190
[1362/5000][470/535][140568] Loss_D: -0.019175 Loss_G: 0.016547 Loss_D_real: -0.019260 Loss_D_fake -0.000085
[1362/5000][475/535][140569] Loss_D: -0.019998 Loss_G: -0.005117 Loss_D_real: -0.023867 Loss_D_fake -0.003869
[1362/5000][480/535][140570] Loss_D: -0.020047 Loss_G: 0.005766 Loss_D_real: -0.007049 Loss_D_fake 0.012998
[1362/5000][485/535][140571] Loss_D: -0.018349 Loss_G: -0.006790 Loss_D_real: 0.008598 Loss_D_fake 0.026947
[1362/5000][490/535][140572] Loss_D: -0.018730 Loss_G: 0.005187 Loss_D_real: -0.022214 Loss_D_fake -0.003484
[1362/5000][495/535][140573] Loss_D: -0.020727 Loss_G: 0.009482 Loss_D_real: -0.008388 Loss_D_fake 0.012339
[1362/5000][500/535][140574] Loss_D: -0.018592 Loss_G: 0.010437 Loss_D_real: -0.018124 Loss_D_fake 0.000469
[1362/5000][505/535][140575] Loss_D: -0.019273 Loss_G: 0.022396 Loss_D_real: -0.036676 Loss_D_fake -0.017404
[1362/5000][510/535][140576] Loss_D: -0.019209 Loss_G: -0.001428 Loss_D_real: -0.000250 Loss_D_fake 0.018959
[1362/5000][515/535][140577] Loss_D: -0.020620 Loss_G: 0.015512 Loss_D_real: -0.031122 Loss_D_fake -0.010502
[1362/5000][520/535][140578] Loss_D: -0.019213 Loss_G: -0.000930 Loss_D_real: -0.009434 Loss_D_fake 0.009780
[1362/5000][525/535][140579] Loss_D: -0.020297 Loss_G: 0.009873 Loss_D_real: -0.019314 Loss_D_fake 0.000983
[1362/5000][530/535][140580] Loss_D: -0.019055 Loss_G: 0.005660 Loss_D_real: -0.014371 Loss_D_fake 0.004684
[1362/5000][535/535][140581] Loss_D: -0.017316 Loss_G: -0.013778 Loss_D_real: -0.012403 Loss_D_fake 0.004914
[1363/5000][5/535][140582] Loss_D: -0.019577 Loss_G: -0.005238 Loss_D_real: 0.003554 Loss_D_fake 0.023131
[1363/5000][10/535][140583] Loss_D: -0.020271 Loss_G: 0.002861 Loss_D_real: -0.007226 Loss_D_fake 0.013045
[1363/5000][15/535][140584] Loss_D: -0.018920 Loss_G: 0.009582 Loss_D_real: -0.033148 Loss_D_fake -0.014229
[1363/5000][20/535][140585] Loss_D: -0.019402 Loss_G: -0.006928 Loss_D_real: 0.002463 Loss_D_fake 0.021866
[1363/5000][25/535][140586] Loss_D: -0.017855 Loss_G: 0.022123 Loss_D_real: -0.024635 Loss_D_fake -0.006779
[1363/5000][30/535][140587] Loss_D: -0.020183 Loss_G: 0.019874 Loss_D_real: -0.033392 Loss_D_fake -0.013209
[1363/5000][35/535][140588] Loss_D: -0.019211 Loss_G: 0.023577 Loss_D_real: -0.032962 Loss_D_fake -0.013751
[1363/5000][40/535][140589] Loss_D: -0.019532 Loss_G: -0.000015 Loss_D_real: -0.004898 Loss_D_fake 0.014635
[1363/5000][45/535][140590] Loss_D: -0.020731 Loss_G: 0.009734 Loss_D_real: -0.014357 Loss_D_fake 0.006375
[1363/5000][50/535][140591] Loss_D: -0.021742 Loss_G: -0.006280 Loss_D_real: -0.011055 Loss_D_fake 0.010686
[1363/5000][55/535][140592] Loss_D: -0.019501 Loss_G: 0.020127 Loss_D_real: -0.019774 Loss_D_fake -0.000273
[1363/5000][60/535][140593] Loss_D: -0.018365 Loss_G: 0.002013 Loss_D_real: -0.023864 Loss_D_fake -0.005499
[1363/5000][65/535][140594] Loss_D: -0.019221 Loss_G: 0.016213 Loss_D_real: -0.033649 Loss_D_fake -0.014428
[1363/5000][70/535][140595] Loss_D: -0.020535 Loss_G: 0.002135 Loss_D_real: -0.021273 Loss_D_fake -0.000739
[1363/5000][75/535][140596] Loss_D: -0.020795 Loss_G: 0.016189 Loss_D_real: -0.018288 Loss_D_fake 0.002507
[1363/5000][80/535][140597] Loss_D: -0.019362 Loss_G: 0.013115 Loss_D_real: -0.020889 Loss_D_fake -0.001527
[1363/5000][85/535][140598] Loss_D: -0.020111 Loss_G: 0.014415 Loss_D_real: -0.006226 Loss_D_fake 0.013885
[1363/5000][90/535][140599] Loss_D: -0.019197 Loss_G: -0.003789 Loss_D_real: 0.002279 Loss_D_fake 0.021476
[1363/5000][95/535][140600] Loss_D: -0.020690 Loss_G: 0.005552 Loss_D_real: -0.023617 Loss_D_fake -0.002927
[1363/5000][100/535][140601] Loss_D: -0.021336 Loss_G: 0.000402 Loss_D_real: -0.003800 Loss_D_fake 0.017535
[1363/5000][105/535][140602] Loss_D: -0.019521 Loss_G: 0.016400 Loss_D_real: -0.024288 Loss_D_fake -0.004767
[1363/5000][110/535][140603] Loss_D: -0.020333 Loss_G: 0.020543 Loss_D_real: -0.027004 Loss_D_fake -0.006671
[1363/5000][115/535][140604] Loss_D: -0.019518 Loss_G: 0.011149 Loss_D_real: -0.018780 Loss_D_fake 0.000738
[1363/5000][120/535][140605] Loss_D: -0.020163 Loss_G: 0.008070 Loss_D_real: -0.011507 Loss_D_fake 0.008656
[1363/5000][125/535][140606] Loss_D: -0.020731 Loss_G: -0.003461 Loss_D_real: -0.010042 Loss_D_fake 0.010689
[1363/5000][130/535][140607] Loss_D: -0.019779 Loss_G: 0.015559 Loss_D_real: -0.020389 Loss_D_fake -0.000610
[1363/5000][135/535][140608] Loss_D: -0.019573 Loss_G: 0.014425 Loss_D_real: -0.020853 Loss_D_fake -0.001280
[1363/5000][140/535][140609] Loss_D: -0.020310 Loss_G: -0.000216 Loss_D_real: -0.016790 Loss_D_fake 0.003521
[1363/5000][145/535][140610] Loss_D: -0.020366 Loss_G: -0.003462 Loss_D_real: -0.018520 Loss_D_fake 0.001847
[1363/5000][150/535][140611] Loss_D: -0.020869 Loss_G: 0.009471 Loss_D_real: -0.033896 Loss_D_fake -0.013026
[1363/5000][155/535][140612] Loss_D: -0.021464 Loss_G: 0.018137 Loss_D_real: -0.017725 Loss_D_fake 0.003739
[1363/5000][160/535][140613] Loss_D: -0.020882 Loss_G: 0.003490 Loss_D_real: -0.014164 Loss_D_fake 0.006718
[1363/5000][165/535][140614] Loss_D: -0.019116 Loss_G: -0.012189 Loss_D_real: 0.000630 Loss_D_fake 0.019746
[1363/5000][170/535][140615] Loss_D: -0.018962 Loss_G: -0.010100 Loss_D_real: -0.020146 Loss_D_fake -0.001184
[1363/5000][175/535][140616] Loss_D: -0.020113 Loss_G: 0.011328 Loss_D_real: -0.016492 Loss_D_fake 0.003621
[1363/5000][180/535][140617] Loss_D: -0.020905 Loss_G: 0.003365 Loss_D_real: -0.009863 Loss_D_fake 0.011041
[1363/5000][185/535][140618] Loss_D: -0.020517 Loss_G: 0.010931 Loss_D_real: -0.010434 Loss_D_fake 0.010083
[1363/5000][190/535][140619] Loss_D: -0.019754 Loss_G: 0.020401 Loss_D_real: -0.017706 Loss_D_fake 0.002048
[1363/5000][195/535][140620] Loss_D: -0.019815 Loss_G: 0.011381 Loss_D_real: -0.030582 Loss_D_fake -0.010768
[1363/5000][200/535][140621] Loss_D: -0.020495 Loss_G: -0.001822 Loss_D_real: -0.000396 Loss_D_fake 0.020099
[1363/5000][205/535][140622] Loss_D: -0.019993 Loss_G: 0.012545 Loss_D_real: -0.019747 Loss_D_fake 0.000246
[1363/5000][210/535][140623] Loss_D: -0.019308 Loss_G: 0.015502 Loss_D_real: -0.024342 Loss_D_fake -0.005035
[1363/5000][215/535][140624] Loss_D: -0.020689 Loss_G: 0.006681 Loss_D_real: -0.028063 Loss_D_fake -0.007374
[1363/5000][220/535][140625] Loss_D: -0.019726 Loss_G: -0.016644 Loss_D_real: -0.009592 Loss_D_fake 0.010134
[1363/5000][225/535][140626] Loss_D: -0.018634 Loss_G: 0.000848 Loss_D_real: -0.011697 Loss_D_fake 0.006937
[1363/5000][230/535][140627] Loss_D: -0.017982 Loss_G: 0.027303 Loss_D_real: -0.018897 Loss_D_fake -0.000915
[1363/5000][235/535][140628] Loss_D: -0.018304 Loss_G: 0.021374 Loss_D_real: -0.019676 Loss_D_fake -0.001372
[1363/5000][240/535][140629] Loss_D: -0.020380 Loss_G: -0.003236 Loss_D_real: -0.016060 Loss_D_fake 0.004320
[1363/5000][245/535][140630] Loss_D: -0.019595 Loss_G: 0.005570 Loss_D_real: -0.020577 Loss_D_fake -0.000982
[1363/5000][250/535][140631] Loss_D: -0.018140 Loss_G: 0.026550 Loss_D_real: -0.033745 Loss_D_fake -0.015605
[1363/5000][255/535][140632] Loss_D: -0.019508 Loss_G: 0.010400 Loss_D_real: -0.017965 Loss_D_fake 0.001543
[1363/5000][260/535][140633] Loss_D: -0.020224 Loss_G: 0.011492 Loss_D_real: -0.027514 Loss_D_fake -0.007291
[1363/5000][265/535][140634] Loss_D: -0.020331 Loss_G: 0.007958 Loss_D_real: -0.004594 Loss_D_fake 0.015737
[1363/5000][270/535][140635] Loss_D: -0.019316 Loss_G: 0.005107 Loss_D_real: -0.024884 Loss_D_fake -0.005568
[1363/5000][275/535][140636] Loss_D: -0.019864 Loss_G: -0.000090 Loss_D_real: -0.019003 Loss_D_fake 0.000861
[1363/5000][280/535][140637] Loss_D: -0.019124 Loss_G: 0.011953 Loss_D_real: -0.007060 Loss_D_fake 0.012064
[1363/5000][285/535][140638] Loss_D: -0.019350 Loss_G: -0.012596 Loss_D_real: -0.000008 Loss_D_fake 0.019342
[1363/5000][290/535][140639] Loss_D: -0.018888 Loss_G: 0.005402 Loss_D_real: -0.010489 Loss_D_fake 0.008399
[1363/5000][295/535][140640] Loss_D: -0.019298 Loss_G: 0.009612 Loss_D_real: -0.026921 Loss_D_fake -0.007623
[1363/5000][300/535][140641] Loss_D: -0.020539 Loss_G: 0.009230 Loss_D_real: -0.023982 Loss_D_fake -0.003443
[1363/5000][305/535][140642] Loss_D: -0.020684 Loss_G: -0.001084 Loss_D_real: 0.001159 Loss_D_fake 0.021844
[1363/5000][310/535][140643] Loss_D: -0.020525 Loss_G: 0.025139 Loss_D_real: -0.017149 Loss_D_fake 0.003376
[1363/5000][315/535][140644] Loss_D: -0.018893 Loss_G: 0.002618 Loss_D_real: -0.025064 Loss_D_fake -0.006171
[1363/5000][320/535][140645] Loss_D: -0.020646 Loss_G: -0.002404 Loss_D_real: -0.016616 Loss_D_fake 0.004030
[1363/5000][325/535][140646] Loss_D: -0.020292 Loss_G: 0.000277 Loss_D_real: -0.018970 Loss_D_fake 0.001322
[1363/5000][330/535][140647] Loss_D: -0.020570 Loss_G: 0.003951 Loss_D_real: -0.009764 Loss_D_fake 0.010806
[1363/5000][335/535][140648] Loss_D: -0.019335 Loss_G: 0.014269 Loss_D_real: -0.028973 Loss_D_fake -0.009638
[1363/5000][340/535][140649] Loss_D: -0.019707 Loss_G: 0.032749 Loss_D_real: -0.030147 Loss_D_fake -0.010440
[1363/5000][345/535][140650] Loss_D: -0.020911 Loss_G: 0.013645 Loss_D_real: -0.026865 Loss_D_fake -0.005954
[1363/5000][350/535][140651] Loss_D: -0.019160 Loss_G: 0.009172 Loss_D_real: -0.030237 Loss_D_fake -0.011077
[1363/5000][355/535][140652] Loss_D: -0.020522 Loss_G: 0.010820 Loss_D_real: -0.024884 Loss_D_fake -0.004362
[1363/5000][360/535][140653] Loss_D: -0.019901 Loss_G: -0.009722 Loss_D_real: -0.007543 Loss_D_fake 0.012358
[1363/5000][365/535][140654] Loss_D: -0.018692 Loss_G: -0.003365 Loss_D_real: -0.005422 Loss_D_fake 0.013271
[1363/5000][370/535][140655] Loss_D: -0.018235 Loss_G: 0.014764 Loss_D_real: -0.029754 Loss_D_fake -0.011519
[1363/5000][375/535][140656] Loss_D: -0.019824 Loss_G: 0.011284 Loss_D_real: -0.018447 Loss_D_fake 0.001377
[1363/5000][380/535][140657] Loss_D: -0.019856 Loss_G: 0.010760 Loss_D_real: -0.022099 Loss_D_fake -0.002242
[1363/5000][385/535][140658] Loss_D: -0.020400 Loss_G: -0.006106 Loss_D_real: -0.010246 Loss_D_fake 0.010154
[1363/5000][390/535][140659] Loss_D: -0.020278 Loss_G: 0.020004 Loss_D_real: -0.022466 Loss_D_fake -0.002188
[1363/5000][395/535][140660] Loss_D: -0.020219 Loss_G: 0.023103 Loss_D_real: -0.032925 Loss_D_fake -0.012706
[1363/5000][400/535][140661] Loss_D: -0.020663 Loss_G: 0.006288 Loss_D_real: -0.013156 Loss_D_fake 0.007507
[1363/5000][405/535][140662] Loss_D: -0.019592 Loss_G: -0.006764 Loss_D_real: -0.013433 Loss_D_fake 0.006158
[1363/5000][410/535][140663] Loss_D: -0.018768 Loss_G: 0.000801 Loss_D_real: -0.016355 Loss_D_fake 0.002412
[1363/5000][415/535][140664] Loss_D: -0.019353 Loss_G: 0.011025 Loss_D_real: -0.027302 Loss_D_fake -0.007949
[1363/5000][420/535][140665] Loss_D: -0.019278 Loss_G: -0.001506 Loss_D_real: -0.020274 Loss_D_fake -0.000996
[1363/5000][425/535][140666] Loss_D: -0.019489 Loss_G: 0.001774 Loss_D_real: -0.004321 Loss_D_fake 0.015168
[1363/5000][430/535][140667] Loss_D: -0.019714 Loss_G: 0.010822 Loss_D_real: -0.029334 Loss_D_fake -0.009621
[1363/5000][435/535][140668] Loss_D: -0.019035 Loss_G: 0.018863 Loss_D_real: -0.011900 Loss_D_fake 0.007135
[1363/5000][440/535][140669] Loss_D: -0.019818 Loss_G: 0.009862 Loss_D_real: -0.020285 Loss_D_fake -0.000467
[1363/5000][445/535][140670] Loss_D: -0.019987 Loss_G: 0.011262 Loss_D_real: -0.026460 Loss_D_fake -0.006473
[1363/5000][450/535][140671] Loss_D: -0.019631 Loss_G: -0.008109 Loss_D_real: -0.013851 Loss_D_fake 0.005780
[1363/5000][455/535][140672] Loss_D: -0.019429 Loss_G: 0.007046 Loss_D_real: -0.020897 Loss_D_fake -0.001468
[1363/5000][460/535][140673] Loss_D: -0.020546 Loss_G: 0.006600 Loss_D_real: -0.004098 Loss_D_fake 0.016447
[1363/5000][465/535][140674] Loss_D: -0.019643 Loss_G: 0.005352 Loss_D_real: -0.015514 Loss_D_fake 0.004129
[1363/5000][470/535][140675] Loss_D: -0.019268 Loss_G: -0.001096 Loss_D_real: -0.004314 Loss_D_fake 0.014954
[1363/5000][475/535][140676] Loss_D: -0.020881 Loss_G: 0.013239 Loss_D_real: -0.021980 Loss_D_fake -0.001099
[1363/5000][480/535][140677] Loss_D: -0.018187 Loss_G: 0.003837 Loss_D_real: -0.026145 Loss_D_fake -0.007958
[1363/5000][485/535][140678] Loss_D: -0.020298 Loss_G: 0.008703 Loss_D_real: -0.021850 Loss_D_fake -0.001552
[1363/5000][490/535][140679] Loss_D: -0.020571 Loss_G: 0.016071 Loss_D_real: -0.011727 Loss_D_fake 0.008844
[1363/5000][495/535][140680] Loss_D: -0.019228 Loss_G: 0.025988 Loss_D_real: -0.030728 Loss_D_fake -0.011500
[1363/5000][500/535][140681] Loss_D: -0.019511 Loss_G: 0.018893 Loss_D_real: -0.026264 Loss_D_fake -0.006753
[1363/5000][505/535][140682] Loss_D: -0.020701 Loss_G: 0.011136 Loss_D_real: -0.026595 Loss_D_fake -0.005894
[1363/5000][510/535][140683] Loss_D: -0.020248 Loss_G: 0.001726 Loss_D_real: -0.007574 Loss_D_fake 0.012674
[1363/5000][515/535][140684] Loss_D: -0.019561 Loss_G: 0.007796 Loss_D_real: -0.014868 Loss_D_fake 0.004692
[1363/5000][520/535][140685] Loss_D: -0.020682 Loss_G: 0.007697 Loss_D_real: -0.022897 Loss_D_fake -0.002215
[1363/5000][525/535][140686] Loss_D: -0.021480 Loss_G: 0.000583 Loss_D_real: -0.010339 Loss_D_fake 0.011141
[1363/5000][530/535][140687] Loss_D: -0.021267 Loss_G: 0.008397 Loss_D_real: -0.001466 Loss_D_fake 0.019801
[1363/5000][535/535][140688] Loss_D: -0.018177 Loss_G: 0.015072 Loss_D_real: -0.035967 Loss_D_fake -0.017790
[1364/5000][5/535][140689] Loss_D: -0.023250 Loss_G: -0.005193 Loss_D_real: -0.006347 Loss_D_fake 0.016903
[1364/5000][10/535][140690] Loss_D: -0.021170 Loss_G: 0.006458 Loss_D_real: -0.020121 Loss_D_fake 0.001049
[1364/5000][15/535][140691] Loss_D: -0.020527 Loss_G: -0.003815 Loss_D_real: -0.008518 Loss_D_fake 0.012009
[1364/5000][20/535][140692] Loss_D: -0.019820 Loss_G: 0.023412 Loss_D_real: -0.015452 Loss_D_fake 0.004369
[1364/5000][25/535][140693] Loss_D: -0.019083 Loss_G: 0.007629 Loss_D_real: -0.017917 Loss_D_fake 0.001166
[1364/5000][30/535][140694] Loss_D: -0.020910 Loss_G: -0.006841 Loss_D_real: -0.013960 Loss_D_fake 0.006950
[1364/5000][35/535][140695] Loss_D: -0.019284 Loss_G: 0.015721 Loss_D_real: -0.035274 Loss_D_fake -0.015990
[1364/5000][40/535][140696] Loss_D: -0.019489 Loss_G: 0.016023 Loss_D_real: -0.023511 Loss_D_fake -0.004022
[1364/5000][45/535][140697] Loss_D: -0.020611 Loss_G: -0.017575 Loss_D_real: -0.011248 Loss_D_fake 0.009363
[1364/5000][50/535][140698] Loss_D: -0.018832 Loss_G: 0.002484 Loss_D_real: -0.006199 Loss_D_fake 0.012633
[1364/5000][55/535][140699] Loss_D: -0.018196 Loss_G: 0.028072 Loss_D_real: -0.031408 Loss_D_fake -0.013211
[1364/5000][60/535][140700] Loss_D: -0.021493 Loss_G: -0.013783 Loss_D_real: -0.007101 Loss_D_fake 0.014392
[1364/5000][65/535][140701] Loss_D: -0.019324 Loss_G: 0.024191 Loss_D_real: -0.026661 Loss_D_fake -0.007338
[1364/5000][70/535][140702] Loss_D: -0.020349 Loss_G: 0.005649 Loss_D_real: -0.014327 Loss_D_fake 0.006022
[1364/5000][75/535][140703] Loss_D: -0.019796 Loss_G: 0.013459 Loss_D_real: -0.021128 Loss_D_fake -0.001332
[1364/5000][80/535][140704] Loss_D: -0.019789 Loss_G: 0.001399 Loss_D_real: -0.013964 Loss_D_fake 0.005824
[1364/5000][85/535][140705] Loss_D: -0.020042 Loss_G: -0.008251 Loss_D_real: -0.005547 Loss_D_fake 0.014495
[1364/5000][90/535][140706] Loss_D: -0.019495 Loss_G: 0.020565 Loss_D_real: -0.023231 Loss_D_fake -0.003737
[1364/5000][95/535][140707] Loss_D: -0.020281 Loss_G: 0.029959 Loss_D_real: -0.022592 Loss_D_fake -0.002311
[1364/5000][100/535][140708] Loss_D: -0.020677 Loss_G: -0.002786 Loss_D_real: -0.008279 Loss_D_fake 0.012397
[1364/5000][105/535][140709] Loss_D: -0.019300 Loss_G: 0.013231 Loss_D_real: -0.023318 Loss_D_fake -0.004018
[1364/5000][110/535][140710] Loss_D: -0.018972 Loss_G: -0.012908 Loss_D_real: -0.003108 Loss_D_fake 0.015863
[1364/5000][115/535][140711] Loss_D: -0.019679 Loss_G: 0.006693 Loss_D_real: -0.024852 Loss_D_fake -0.005173
[1364/5000][120/535][140712] Loss_D: -0.019711 Loss_G: 0.007794 Loss_D_real: -0.020601 Loss_D_fake -0.000890
[1364/5000][125/535][140713] Loss_D: -0.019231 Loss_G: 0.000835 Loss_D_real: -0.016673 Loss_D_fake 0.002559
[1364/5000][130/535][140714] Loss_D: -0.020844 Loss_G: 0.017138 Loss_D_real: -0.030012 Loss_D_fake -0.009168
[1364/5000][135/535][140715] Loss_D: -0.020680 Loss_G: 0.014877 Loss_D_real: -0.022134 Loss_D_fake -0.001454
[1364/5000][140/535][140716] Loss_D: -0.019561 Loss_G: 0.001014 Loss_D_real: -0.016390 Loss_D_fake 0.003171
[1364/5000][145/535][140717] Loss_D: -0.020348 Loss_G: 0.002894 Loss_D_real: -0.020259 Loss_D_fake 0.000089
[1364/5000][150/535][140718] Loss_D: -0.019632 Loss_G: -0.000617 Loss_D_real: -0.005720 Loss_D_fake 0.013912
[1364/5000][155/535][140719] Loss_D: -0.020068 Loss_G: 0.017672 Loss_D_real: -0.017107 Loss_D_fake 0.002961
[1364/5000][160/535][140720] Loss_D: -0.019287 Loss_G: 0.017812 Loss_D_real: -0.031122 Loss_D_fake -0.011835
[1364/5000][165/535][140721] Loss_D: -0.019309 Loss_G: -0.004878 Loss_D_real: -0.016452 Loss_D_fake 0.002858
[1364/5000][170/535][140722] Loss_D: -0.019451 Loss_G: 0.020296 Loss_D_real: -0.030478 Loss_D_fake -0.011027
[1364/5000][175/535][140723] Loss_D: -0.019869 Loss_G: 0.013560 Loss_D_real: -0.021484 Loss_D_fake -0.001615
[1364/5000][180/535][140724] Loss_D: -0.018821 Loss_G: -0.009899 Loss_D_real: -0.006222 Loss_D_fake 0.012599
[1364/5000][185/535][140725] Loss_D: -0.019557 Loss_G: -0.001113 Loss_D_real: -0.014751 Loss_D_fake 0.004806
[1364/5000][190/535][140726] Loss_D: -0.019650 Loss_G: 0.005291 Loss_D_real: -0.018907 Loss_D_fake 0.000743
[1364/5000][195/535][140727] Loss_D: -0.019150 Loss_G: -0.001941 Loss_D_real: -0.012074 Loss_D_fake 0.007076
[1364/5000][200/535][140728] Loss_D: -0.019011 Loss_G: 0.012791 Loss_D_real: -0.019139 Loss_D_fake -0.000128
[1364/5000][205/535][140729] Loss_D: -0.020143 Loss_G: -0.004025 Loss_D_real: 0.000883 Loss_D_fake 0.021026
[1364/5000][210/535][140730] Loss_D: -0.020083 Loss_G: 0.026466 Loss_D_real: -0.022488 Loss_D_fake -0.002405
[1364/5000][215/535][140731] Loss_D: -0.019325 Loss_G: -0.015407 Loss_D_real: -0.007004 Loss_D_fake 0.012321
[1364/5000][220/535][140732] Loss_D: -0.019251 Loss_G: -0.001332 Loss_D_real: -0.018930 Loss_D_fake 0.000321
[1364/5000][225/535][140733] Loss_D: -0.019843 Loss_G: 0.002343 Loss_D_real: -0.022164 Loss_D_fake -0.002321
[1364/5000][230/535][140734] Loss_D: -0.019934 Loss_G: 0.001215 Loss_D_real: -0.026884 Loss_D_fake -0.006950
[1364/5000][235/535][140735] Loss_D: -0.020138 Loss_G: 0.023356 Loss_D_real: -0.025709 Loss_D_fake -0.005571
[1364/5000][240/535][140736] Loss_D: -0.020549 Loss_G: -0.006347 Loss_D_real: -0.010561 Loss_D_fake 0.009987
[1364/5000][245/535][140737] Loss_D: -0.019879 Loss_G: -0.005371 Loss_D_real: -0.002230 Loss_D_fake 0.017650
[1364/5000][250/535][140738] Loss_D: -0.019639 Loss_G: -0.005151 Loss_D_real: -0.012287 Loss_D_fake 0.007352
[1364/5000][255/535][140739] Loss_D: -0.019829 Loss_G: 0.020149 Loss_D_real: -0.024587 Loss_D_fake -0.004757
[1364/5000][260/535][140740] Loss_D: -0.021232 Loss_G: 0.025766 Loss_D_real: -0.025537 Loss_D_fake -0.004305
[1364/5000][265/535][140741] Loss_D: -0.020500 Loss_G: -0.008377 Loss_D_real: -0.013591 Loss_D_fake 0.006909
[1364/5000][270/535][140742] Loss_D: -0.020038 Loss_G: -0.006149 Loss_D_real: -0.012042 Loss_D_fake 0.007995
[1364/5000][275/535][140743] Loss_D: -0.018994 Loss_G: 0.002427 Loss_D_real: -0.008358 Loss_D_fake 0.010636
[1364/5000][280/535][140744] Loss_D: -0.019796 Loss_G: 0.004284 Loss_D_real: -0.009161 Loss_D_fake 0.010635
[1364/5000][285/535][140745] Loss_D: -0.019999 Loss_G: 0.006870 Loss_D_real: -0.003340 Loss_D_fake 0.016659
[1364/5000][290/535][140746] Loss_D: -0.020002 Loss_G: 0.019953 Loss_D_real: -0.025978 Loss_D_fake -0.005976
[1364/5000][295/535][140747] Loss_D: -0.019510 Loss_G: 0.019446 Loss_D_real: -0.034661 Loss_D_fake -0.015151
[1364/5000][300/535][140748] Loss_D: -0.020139 Loss_G: -0.003288 Loss_D_real: -0.008339 Loss_D_fake 0.011800
[1364/5000][305/535][140749] Loss_D: -0.020154 Loss_G: -0.000239 Loss_D_real: -0.000052 Loss_D_fake 0.020102
[1364/5000][310/535][140750] Loss_D: -0.019237 Loss_G: 0.005986 Loss_D_real: -0.025154 Loss_D_fake -0.005918
[1364/5000][315/535][140751] Loss_D: -0.018808 Loss_G: -0.006722 Loss_D_real: -0.005030 Loss_D_fake 0.013778
[1364/5000][320/535][140752] Loss_D: -0.019567 Loss_G: 0.003655 Loss_D_real: -0.017341 Loss_D_fake 0.002226
[1364/5000][325/535][140753] Loss_D: -0.018975 Loss_G: -0.011580 Loss_D_real: -0.010092 Loss_D_fake 0.008883
[1364/5000][330/535][140754] Loss_D: -0.017566 Loss_G: -0.006347 Loss_D_real: 0.012308 Loss_D_fake 0.029874
[1364/5000][335/535][140755] Loss_D: -0.019292 Loss_G: 0.007753 Loss_D_real: -0.008313 Loss_D_fake 0.010979
[1364/5000][340/535][140756] Loss_D: -0.019518 Loss_G: -0.000016 Loss_D_real: -0.008936 Loss_D_fake 0.010582
[1364/5000][345/535][140757] Loss_D: -0.020684 Loss_G: 0.009116 Loss_D_real: -0.015004 Loss_D_fake 0.005680
[1364/5000][350/535][140758] Loss_D: -0.019002 Loss_G: 0.018626 Loss_D_real: -0.029438 Loss_D_fake -0.010436
[1364/5000][355/535][140759] Loss_D: -0.019093 Loss_G: -0.004419 Loss_D_real: -0.009414 Loss_D_fake 0.009678
[1364/5000][360/535][140760] Loss_D: -0.020446 Loss_G: -0.004035 Loss_D_real: -0.015033 Loss_D_fake 0.005413
[1364/5000][365/535][140761] Loss_D: -0.019915 Loss_G: 0.018769 Loss_D_real: -0.029448 Loss_D_fake -0.009532
[1364/5000][370/535][140762] Loss_D: -0.019912 Loss_G: -0.001251 Loss_D_real: -0.010240 Loss_D_fake 0.009671
[1364/5000][375/535][140763] Loss_D: -0.019407 Loss_G: -0.003386 Loss_D_real: 0.010326 Loss_D_fake 0.029733
[1364/5000][380/535][140764] Loss_D: -0.019545 Loss_G: -0.001791 Loss_D_real: -0.012639 Loss_D_fake 0.006906
[1364/5000][385/535][140765] Loss_D: -0.019359 Loss_G: -0.005651 Loss_D_real: -0.014870 Loss_D_fake 0.004489
[1364/5000][390/535][140766] Loss_D: -0.019996 Loss_G: 0.023884 Loss_D_real: -0.026213 Loss_D_fake -0.006217
[1364/5000][395/535][140767] Loss_D: -0.019383 Loss_G: 0.008869 Loss_D_real: -0.011027 Loss_D_fake 0.008356
[1364/5000][400/535][140768] Loss_D: -0.021138 Loss_G: 0.002990 Loss_D_real: -0.015760 Loss_D_fake 0.005378
[1364/5000][405/535][140769] Loss_D: -0.020340 Loss_G: 0.004806 Loss_D_real: -0.014160 Loss_D_fake 0.006179
[1364/5000][410/535][140770] Loss_D: -0.018799 Loss_G: 0.006717 Loss_D_real: -0.028047 Loss_D_fake -0.009248
[1364/5000][415/535][140771] Loss_D: -0.018853 Loss_G: -0.002692 Loss_D_real: -0.016006 Loss_D_fake 0.002847
[1364/5000][420/535][140772] Loss_D: -0.020712 Loss_G: 0.020813 Loss_D_real: -0.013601 Loss_D_fake 0.007112
[1364/5000][425/535][140773] Loss_D: -0.019050 Loss_G: 0.024359 Loss_D_real: -0.021080 Loss_D_fake -0.002030
[1364/5000][430/535][140774] Loss_D: -0.020311 Loss_G: -0.010539 Loss_D_real: -0.015675 Loss_D_fake 0.004636
[1364/5000][435/535][140775] Loss_D: -0.019443 Loss_G: 0.011274 Loss_D_real: -0.011158 Loss_D_fake 0.008285
[1364/5000][440/535][140776] Loss_D: -0.018949 Loss_G: 0.006487 Loss_D_real: -0.004896 Loss_D_fake 0.014054
[1364/5000][445/535][140777] Loss_D: -0.018673 Loss_G: -0.018979 Loss_D_real: 0.000749 Loss_D_fake 0.019422
[1364/5000][450/535][140778] Loss_D: -0.018121 Loss_G: 0.012579 Loss_D_real: -0.023484 Loss_D_fake -0.005362
[1364/5000][455/535][140779] Loss_D: -0.019481 Loss_G: 0.024757 Loss_D_real: -0.028640 Loss_D_fake -0.009159
[1364/5000][460/535][140780] Loss_D: -0.019181 Loss_G: -0.005205 Loss_D_real: 0.000579 Loss_D_fake 0.019761
[1364/5000][465/535][140781] Loss_D: -0.019196 Loss_G: -0.001363 Loss_D_real: -0.012791 Loss_D_fake 0.006405
[1364/5000][470/535][140782] Loss_D: -0.020325 Loss_G: 0.006699 Loss_D_real: -0.020031 Loss_D_fake 0.000294
[1364/5000][475/535][140783] Loss_D: -0.021708 Loss_G: 0.013957 Loss_D_real: -0.008289 Loss_D_fake 0.013419
[1364/5000][480/535][140784] Loss_D: -0.019597 Loss_G: 0.005337 Loss_D_real: -0.022130 Loss_D_fake -0.002532
[1364/5000][485/535][140785] Loss_D: -0.020158 Loss_G: 0.018569 Loss_D_real: -0.028863 Loss_D_fake -0.008705
[1364/5000][490/535][140786] Loss_D: -0.019953 Loss_G: -0.006985 Loss_D_real: -0.028757 Loss_D_fake -0.008804
[1364/5000][495/535][140787] Loss_D: -0.019544 Loss_G: 0.000418 Loss_D_real: -0.009597 Loss_D_fake 0.009947
[1364/5000][500/535][140788] Loss_D: -0.021324 Loss_G: 0.014644 Loss_D_real: -0.025354 Loss_D_fake -0.004030
[1364/5000][505/535][140789] Loss_D: -0.021305 Loss_G: 0.003811 Loss_D_real: -0.013622 Loss_D_fake 0.007683
[1364/5000][510/535][140790] Loss_D: -0.019647 Loss_G: 0.008079 Loss_D_real: -0.019686 Loss_D_fake -0.000040
[1364/5000][515/535][140791] Loss_D: -0.019682 Loss_G: 0.008943 Loss_D_real: -0.018809 Loss_D_fake 0.000874
[1364/5000][520/535][140792] Loss_D: -0.018859 Loss_G: 0.026993 Loss_D_real: -0.042260 Loss_D_fake -0.023401
[1364/5000][525/535][140793] Loss_D: -0.020531 Loss_G: 0.013500 Loss_D_real: -0.028457 Loss_D_fake -0.007926
[1364/5000][530/535][140794] Loss_D: -0.018945 Loss_G: -0.013832 Loss_D_real: -0.004787 Loss_D_fake 0.014158
[1364/5000][535/535][140795] Loss_D: -0.019876 Loss_G: 0.007457 Loss_D_real: -0.027472 Loss_D_fake -0.007596
[1365/5000][5/535][140796] Loss_D: -0.021779 Loss_G: 0.006820 Loss_D_real: -0.011961 Loss_D_fake 0.009818
[1365/5000][10/535][140797] Loss_D: -0.019941 Loss_G: 0.021282 Loss_D_real: -0.015083 Loss_D_fake 0.004858
[1365/5000][15/535][140798] Loss_D: -0.018812 Loss_G: 0.019120 Loss_D_real: -0.010875 Loss_D_fake 0.007937
[1365/5000][20/535][140799] Loss_D: -0.020600 Loss_G: -0.000132 Loss_D_real: -0.019139 Loss_D_fake 0.001461
[1365/5000][25/535][140800] Loss_D: -0.018556 Loss_G: 0.013078 Loss_D_real: -0.007062 Loss_D_fake 0.011494
[1365/5000][30/535][140801] Loss_D: -0.020486 Loss_G: 0.010606 Loss_D_real: -0.024561 Loss_D_fake -0.004075
[1365/5000][35/535][140802] Loss_D: -0.020204 Loss_G: -0.006182 Loss_D_real: -0.012282 Loss_D_fake 0.007922
[1365/5000][40/535][140803] Loss_D: -0.020183 Loss_G: -0.010622 Loss_D_real: -0.004957 Loss_D_fake 0.015227
[1365/5000][45/535][140804] Loss_D: -0.018997 Loss_G: 0.002326 Loss_D_real: -0.006437 Loss_D_fake 0.012560
[1365/5000][50/535][140805] Loss_D: -0.019429 Loss_G: 0.017648 Loss_D_real: -0.019572 Loss_D_fake -0.000144
[1365/5000][55/535][140806] Loss_D: -0.018941 Loss_G: 0.011706 Loss_D_real: -0.024995 Loss_D_fake -0.006053
[1365/5000][60/535][140807] Loss_D: -0.019054 Loss_G: 0.014239 Loss_D_real: -0.016901 Loss_D_fake 0.002154
[1365/5000][65/535][140808] Loss_D: -0.019801 Loss_G: 0.021070 Loss_D_real: -0.028183 Loss_D_fake -0.008383
[1365/5000][70/535][140809] Loss_D: -0.019496 Loss_G: -0.003268 Loss_D_real: -0.007471 Loss_D_fake 0.012024
[1365/5000][75/535][140810] Loss_D: -0.020398 Loss_G: 0.007316 Loss_D_real: -0.002338 Loss_D_fake 0.018061
[1365/5000][80/535][140811] Loss_D: -0.017381 Loss_G: -0.014487 Loss_D_real: 0.009367 Loss_D_fake 0.026748
[1365/5000][85/535][140812] Loss_D: -0.020379 Loss_G: 0.023911 Loss_D_real: -0.028258 Loss_D_fake -0.007880
[1365/5000][90/535][140813] Loss_D: -0.020715 Loss_G: -0.004792 Loss_D_real: -0.010090 Loss_D_fake 0.010625
[1365/5000][95/535][140814] Loss_D: -0.020504 Loss_G: 0.009675 Loss_D_real: -0.022224 Loss_D_fake -0.001720
[1365/5000][100/535][140815] Loss_D: -0.022213 Loss_G: -0.003343 Loss_D_real: -0.023563 Loss_D_fake -0.001350
[1365/5000][105/535][140816] Loss_D: -0.020263 Loss_G: 0.009567 Loss_D_real: -0.025030 Loss_D_fake -0.004767
[1365/5000][110/535][140817] Loss_D: -0.021030 Loss_G: 0.007872 Loss_D_real: -0.013283 Loss_D_fake 0.007748
[1365/5000][115/535][140818] Loss_D: -0.021362 Loss_G: 0.010617 Loss_D_real: -0.019220 Loss_D_fake 0.002142
[1365/5000][120/535][140819] Loss_D: -0.020478 Loss_G: 0.006923 Loss_D_real: -0.018171 Loss_D_fake 0.002308
[1365/5000][125/535][140820] Loss_D: -0.019854 Loss_G: 0.009196 Loss_D_real: -0.019901 Loss_D_fake -0.000047
[1365/5000][130/535][140821] Loss_D: -0.020800 Loss_G: 0.005319 Loss_D_real: -0.011788 Loss_D_fake 0.009012
[1365/5000][135/535][140822] Loss_D: -0.020205 Loss_G: 0.000444 Loss_D_real: 0.000172 Loss_D_fake 0.020377
[1365/5000][140/535][140823] Loss_D: -0.020055 Loss_G: 0.000591 Loss_D_real: -0.017342 Loss_D_fake 0.002712
[1365/5000][145/535][140824] Loss_D: -0.020698 Loss_G: 0.002783 Loss_D_real: -0.015362 Loss_D_fake 0.005336
[1365/5000][150/535][140825] Loss_D: -0.020068 Loss_G: -0.003623 Loss_D_real: -0.001600 Loss_D_fake 0.018468
[1365/5000][155/535][140826] Loss_D: -0.019753 Loss_G: 0.017871 Loss_D_real: -0.024323 Loss_D_fake -0.004570
[1365/5000][160/535][140827] Loss_D: -0.020116 Loss_G: 0.003296 Loss_D_real: -0.016983 Loss_D_fake 0.003133
[1365/5000][165/535][140828] Loss_D: -0.019527 Loss_G: 0.013973 Loss_D_real: -0.023701 Loss_D_fake -0.004173
[1365/5000][170/535][140829] Loss_D: -0.019053 Loss_G: -0.000499 Loss_D_real: 0.001657 Loss_D_fake 0.020710
[1365/5000][175/535][140830] Loss_D: -0.020377 Loss_G: 0.004393 Loss_D_real: -0.015754 Loss_D_fake 0.004623
[1365/5000][180/535][140831] Loss_D: -0.019798 Loss_G: 0.010954 Loss_D_real: -0.011190 Loss_D_fake 0.008608
[1365/5000][185/535][140832] Loss_D: -0.020002 Loss_G: -0.001488 Loss_D_real: -0.017809 Loss_D_fake 0.002193
[1365/5000][190/535][140833] Loss_D: -0.020150 Loss_G: 0.014530 Loss_D_real: -0.012078 Loss_D_fake 0.008072
[1365/5000][195/535][140834] Loss_D: -0.020094 Loss_G: 0.010802 Loss_D_real: -0.018951 Loss_D_fake 0.001143
[1365/5000][200/535][140835] Loss_D: -0.018433 Loss_G: 0.016914 Loss_D_real: -0.026375 Loss_D_fake -0.007942
[1365/5000][205/535][140836] Loss_D: -0.019148 Loss_G: 0.009817 Loss_D_real: -0.013910 Loss_D_fake 0.005239
[1365/5000][210/535][140837] Loss_D: -0.017564 Loss_G: 0.031670 Loss_D_real: -0.030669 Loss_D_fake -0.013104
[1365/5000][215/535][140838] Loss_D: -0.019779 Loss_G: 0.008854 Loss_D_real: -0.015739 Loss_D_fake 0.004040
[1365/5000][220/535][140839] Loss_D: -0.019666 Loss_G: 0.008885 Loss_D_real: -0.017665 Loss_D_fake 0.002002
[1365/5000][225/535][140840] Loss_D: -0.020053 Loss_G: 0.009748 Loss_D_real: -0.022445 Loss_D_fake -0.002393
[1365/5000][230/535][140841] Loss_D: -0.020246 Loss_G: -0.004824 Loss_D_real: -0.022512 Loss_D_fake -0.002266
[1365/5000][235/535][140842] Loss_D: -0.020998 Loss_G: -0.002948 Loss_D_real: -0.002271 Loss_D_fake 0.018727
[1365/5000][240/535][140843] Loss_D: -0.020687 Loss_G: -0.000031 Loss_D_real: -0.028713 Loss_D_fake -0.008026
[1365/5000][245/535][140844] Loss_D: -0.019136 Loss_G: 0.031581 Loss_D_real: -0.026664 Loss_D_fake -0.007528
[1365/5000][250/535][140845] Loss_D: -0.019992 Loss_G: 0.018756 Loss_D_real: -0.006863 Loss_D_fake 0.013129
[1365/5000][255/535][140846] Loss_D: -0.020593 Loss_G: 0.018509 Loss_D_real: -0.024371 Loss_D_fake -0.003778
[1365/5000][260/535][140847] Loss_D: -0.020475 Loss_G: 0.009486 Loss_D_real: -0.025979 Loss_D_fake -0.005504
[1365/5000][265/535][140848] Loss_D: -0.018871 Loss_G: 0.029346 Loss_D_real: -0.034444 Loss_D_fake -0.015573
[1365/5000][270/535][140849] Loss_D: -0.019937 Loss_G: 0.007540 Loss_D_real: -0.025404 Loss_D_fake -0.005467
[1365/5000][275/535][140850] Loss_D: -0.020057 Loss_G: -0.005407 Loss_D_real: -0.010848 Loss_D_fake 0.009209
[1365/5000][280/535][140851] Loss_D: -0.021172 Loss_G: -0.004099 Loss_D_real: -0.009112 Loss_D_fake 0.012060
[1365/5000][285/535][140852] Loss_D: -0.020006 Loss_G: -0.000654 Loss_D_real: -0.011059 Loss_D_fake 0.008947
[1365/5000][290/535][140853] Loss_D: -0.017969 Loss_G: -0.019813 Loss_D_real: -0.017560 Loss_D_fake 0.000409
[1365/5000][295/535][140854] Loss_D: -0.020205 Loss_G: 0.006223 Loss_D_real: -0.012781 Loss_D_fake 0.007424
[1365/5000][300/535][140855] Loss_D: -0.020146 Loss_G: 0.013548 Loss_D_real: -0.024506 Loss_D_fake -0.004359
[1365/5000][305/535][140856] Loss_D: -0.019674 Loss_G: 0.014251 Loss_D_real: -0.026672 Loss_D_fake -0.006998
[1365/5000][310/535][140857] Loss_D: -0.020736 Loss_G: 0.001849 Loss_D_real: -0.002107 Loss_D_fake 0.018629
[1365/5000][315/535][140858] Loss_D: -0.018126 Loss_G: 0.004099 Loss_D_real: -0.022025 Loss_D_fake -0.003899
[1365/5000][320/535][140859] Loss_D: -0.019533 Loss_G: 0.021540 Loss_D_real: -0.027243 Loss_D_fake -0.007709
[1365/5000][325/535][140860] Loss_D: -0.019681 Loss_G: 0.007358 Loss_D_real: -0.013157 Loss_D_fake 0.006524
[1365/5000][330/535][140861] Loss_D: -0.021044 Loss_G: 0.014687 Loss_D_real: -0.019247 Loss_D_fake 0.001797
[1365/5000][335/535][140862] Loss_D: -0.020141 Loss_G: 0.001998 Loss_D_real: -0.012960 Loss_D_fake 0.007181
[1365/5000][340/535][140863] Loss_D: -0.021404 Loss_G: 0.006595 Loss_D_real: -0.013900 Loss_D_fake 0.007505
[1365/5000][345/535][140864] Loss_D: -0.020243 Loss_G: 0.004084 Loss_D_real: -0.012808 Loss_D_fake 0.007435
[1365/5000][350/535][140865] Loss_D: -0.019726 Loss_G: -0.009124 Loss_D_real: -0.011108 Loss_D_fake 0.008618
[1365/5000][355/535][140866] Loss_D: -0.019075 Loss_G: 0.019196 Loss_D_real: -0.030245 Loss_D_fake -0.011171
[1365/5000][360/535][140867] Loss_D: -0.019022 Loss_G: 0.002409 Loss_D_real: -0.017562 Loss_D_fake 0.001459
[1365/5000][365/535][140868] Loss_D: -0.019719 Loss_G: 0.021585 Loss_D_real: -0.014234 Loss_D_fake 0.005485
[1365/5000][370/535][140869] Loss_D: -0.020123 Loss_G: -0.007232 Loss_D_real: -0.009234 Loss_D_fake 0.010889
[1365/5000][375/535][140870] Loss_D: -0.019173 Loss_G: 0.010539 Loss_D_real: -0.030773 Loss_D_fake -0.011600
[1365/5000][380/535][140871] Loss_D: -0.018011 Loss_G: 0.014111 Loss_D_real: -0.024939 Loss_D_fake -0.006928
[1365/5000][385/535][140872] Loss_D: -0.019763 Loss_G: 0.005888 Loss_D_real: -0.020505 Loss_D_fake -0.000742
[1365/5000][390/535][140873] Loss_D: -0.019684 Loss_G: 0.001917 Loss_D_real: -0.017322 Loss_D_fake 0.002362
[1365/5000][395/535][140874] Loss_D: -0.018874 Loss_G: 0.001831 Loss_D_real: -0.017456 Loss_D_fake 0.001418
[1365/5000][400/535][140875] Loss_D: -0.018662 Loss_G: -0.002455 Loss_D_real: -0.009945 Loss_D_fake 0.008717
[1365/5000][405/535][140876] Loss_D: -0.020177 Loss_G: -0.006265 Loss_D_real: -0.011440 Loss_D_fake 0.008737
[1365/5000][410/535][140877] Loss_D: -0.019374 Loss_G: -0.003380 Loss_D_real: -0.015526 Loss_D_fake 0.003848
[1365/5000][415/535][140878] Loss_D: -0.018979 Loss_G: 0.003875 Loss_D_real: -0.016470 Loss_D_fake 0.002509
[1365/5000][420/535][140879] Loss_D: -0.020036 Loss_G: -0.002560 Loss_D_real: -0.017291 Loss_D_fake 0.002745
[1365/5000][425/535][140880] Loss_D: -0.020239 Loss_G: 0.007351 Loss_D_real: -0.018318 Loss_D_fake 0.001921
[1365/5000][430/535][140881] Loss_D: -0.019721 Loss_G: 0.001226 Loss_D_real: -0.022450 Loss_D_fake -0.002728
[1365/5000][435/535][140882] Loss_D: -0.017300 Loss_G: 0.017145 Loss_D_real: -0.038999 Loss_D_fake -0.021699
[1365/5000][440/535][140883] Loss_D: -0.019275 Loss_G: 0.017158 Loss_D_real: -0.027281 Loss_D_fake -0.008006
[1365/5000][445/535][140884] Loss_D: -0.018817 Loss_G: -0.004462 Loss_D_real: -0.007814 Loss_D_fake 0.011003
[1365/5000][450/535][140885] Loss_D: -0.019249 Loss_G: 0.014487 Loss_D_real: -0.012893 Loss_D_fake 0.006356
[1365/5000][455/535][140886] Loss_D: -0.018462 Loss_G: 0.024096 Loss_D_real: -0.037110 Loss_D_fake -0.018649
[1365/5000][460/535][140887] Loss_D: -0.019422 Loss_G: -0.019552 Loss_D_real: -0.003828 Loss_D_fake 0.015595
[1365/5000][465/535][140888] Loss_D: -0.019714 Loss_G: 0.019605 Loss_D_real: -0.022672 Loss_D_fake -0.002957
[1365/5000][470/535][140889] Loss_D: -0.019685 Loss_G: 0.008077 Loss_D_real: -0.017416 Loss_D_fake 0.002269
[1365/5000][475/535][140890] Loss_D: -0.020275 Loss_G: 0.001459 Loss_D_real: -0.009564 Loss_D_fake 0.010711
[1365/5000][480/535][140891] Loss_D: -0.019468 Loss_G: 0.004542 Loss_D_real: -0.022846 Loss_D_fake -0.003379
[1365/5000][485/535][140892] Loss_D: -0.020516 Loss_G: 0.010820 Loss_D_real: -0.016763 Loss_D_fake 0.003754
[1365/5000][490/535][140893] Loss_D: -0.019775 Loss_G: -0.004678 Loss_D_real: -0.016635 Loss_D_fake 0.003140
[1365/5000][495/535][140894] Loss_D: -0.019886 Loss_G: 0.007113 Loss_D_real: -0.018539 Loss_D_fake 0.001347
[1365/5000][500/535][140895] Loss_D: -0.020256 Loss_G: 0.009664 Loss_D_real: -0.020831 Loss_D_fake -0.000576
[1365/5000][505/535][140896] Loss_D: -0.020526 Loss_G: 0.004039 Loss_D_real: -0.015630 Loss_D_fake 0.004896
[1365/5000][510/535][140897] Loss_D: -0.020286 Loss_G: -0.009846 Loss_D_real: -0.005216 Loss_D_fake 0.015071
[1365/5000][515/535][140898] Loss_D: -0.020538 Loss_G: 0.003718 Loss_D_real: -0.017824 Loss_D_fake 0.002714
[1365/5000][520/535][140899] Loss_D: -0.019886 Loss_G: 0.012546 Loss_D_real: -0.014973 Loss_D_fake 0.004913
[1365/5000][525/535][140900] Loss_D: -0.019160 Loss_G: 0.005214 Loss_D_real: -0.012927 Loss_D_fake 0.006233
[1365/5000][530/535][140901] Loss_D: -0.019383 Loss_G: 0.002391 Loss_D_real: -0.001315 Loss_D_fake 0.018067
[1365/5000][535/535][140902] Loss_D: -0.016896 Loss_G: 0.021792 Loss_D_real: -0.025625 Loss_D_fake -0.008729
[1366/5000][5/535][140903] Loss_D: -0.020674 Loss_G: 0.013686 Loss_D_real: -0.015106 Loss_D_fake 0.005567
[1366/5000][10/535][140904] Loss_D: -0.020215 Loss_G: -0.008892 Loss_D_real: -0.003552 Loss_D_fake 0.016663
[1366/5000][15/535][140905] Loss_D: -0.018124 Loss_G: -0.007661 Loss_D_real: -0.023896 Loss_D_fake -0.005772
[1366/5000][20/535][140906] Loss_D: -0.019360 Loss_G: 0.002068 Loss_D_real: -0.019593 Loss_D_fake -0.000233
[1366/5000][25/535][140907] Loss_D: -0.019204 Loss_G: -0.010037 Loss_D_real: -0.006029 Loss_D_fake 0.013176
[1366/5000][30/535][140908] Loss_D: -0.020305 Loss_G: -0.000093 Loss_D_real: -0.006783 Loss_D_fake 0.013521
[1366/5000][35/535][140909] Loss_D: -0.018661 Loss_G: 0.001705 Loss_D_real: -0.012702 Loss_D_fake 0.005959
[1366/5000][40/535][140910] Loss_D: -0.020535 Loss_G: 0.018772 Loss_D_real: -0.024452 Loss_D_fake -0.003917
[1366/5000][45/535][140911] Loss_D: -0.020706 Loss_G: -0.010129 Loss_D_real: -0.003135 Loss_D_fake 0.017571
[1366/5000][50/535][140912] Loss_D: -0.020164 Loss_G: -0.002330 Loss_D_real: -0.005029 Loss_D_fake 0.015135
[1366/5000][55/535][140913] Loss_D: -0.019609 Loss_G: 0.019564 Loss_D_real: -0.030128 Loss_D_fake -0.010519
[1366/5000][60/535][140914] Loss_D: -0.021345 Loss_G: -0.005051 Loss_D_real: -0.009946 Loss_D_fake 0.011400
[1366/5000][65/535][140915] Loss_D: -0.019347 Loss_G: 0.008029 Loss_D_real: -0.014666 Loss_D_fake 0.004681
[1366/5000][70/535][140916] Loss_D: -0.020313 Loss_G: 0.013124 Loss_D_real: -0.014335 Loss_D_fake 0.005978
[1366/5000][75/535][140917] Loss_D: -0.020444 Loss_G: -0.000692 Loss_D_real: -0.017817 Loss_D_fake 0.002627
[1366/5000][80/535][140918] Loss_D: -0.018671 Loss_G: -0.002342 Loss_D_real: -0.025991 Loss_D_fake -0.007320
[1366/5000][85/535][140919] Loss_D: -0.021416 Loss_G: 0.003370 Loss_D_real: -0.020497 Loss_D_fake 0.000919
[1366/5000][90/535][140920] Loss_D: -0.020261 Loss_G: 0.006658 Loss_D_real: -0.012520 Loss_D_fake 0.007742
[1366/5000][95/535][140921] Loss_D: -0.020650 Loss_G: 0.010073 Loss_D_real: -0.006104 Loss_D_fake 0.014546
[1366/5000][100/535][140922] Loss_D: -0.021192 Loss_G: 0.009796 Loss_D_real: -0.030332 Loss_D_fake -0.009141
[1366/5000][105/535][140923] Loss_D: -0.020109 Loss_G: 0.007836 Loss_D_real: -0.030024 Loss_D_fake -0.009915
[1366/5000][110/535][140924] Loss_D: -0.019707 Loss_G: -0.004551 Loss_D_real: -0.011403 Loss_D_fake 0.008304
[1366/5000][115/535][140925] Loss_D: -0.020356 Loss_G: 0.004528 Loss_D_real: -0.008080 Loss_D_fake 0.012277
[1366/5000][120/535][140926] Loss_D: -0.020041 Loss_G: 0.004304 Loss_D_real: -0.011867 Loss_D_fake 0.008175
[1366/5000][125/535][140927] Loss_D: -0.021521 Loss_G: 0.020618 Loss_D_real: -0.024067 Loss_D_fake -0.002546
[1366/5000][130/535][140928] Loss_D: -0.019460 Loss_G: -0.009559 Loss_D_real: -0.020206 Loss_D_fake -0.000746
[1366/5000][135/535][140929] Loss_D: -0.020716 Loss_G: 0.001773 Loss_D_real: -0.018558 Loss_D_fake 0.002158
[1366/5000][140/535][140930] Loss_D: -0.018647 Loss_G: 0.028012 Loss_D_real: -0.024827 Loss_D_fake -0.006180
[1366/5000][145/535][140931] Loss_D: -0.019318 Loss_G: 0.011592 Loss_D_real: -0.028369 Loss_D_fake -0.009051
[1366/5000][150/535][140932] Loss_D: -0.020527 Loss_G: 0.005260 Loss_D_real: -0.019420 Loss_D_fake 0.001107
[1366/5000][155/535][140933] Loss_D: -0.019818 Loss_G: 0.002620 Loss_D_real: 0.000626 Loss_D_fake 0.020445
[1366/5000][160/535][140934] Loss_D: -0.018217 Loss_G: -0.003156 Loss_D_real: 0.001363 Loss_D_fake 0.019580
[1366/5000][165/535][140935] Loss_D: -0.019121 Loss_G: 0.012989 Loss_D_real: -0.024666 Loss_D_fake -0.005545
[1366/5000][170/535][140936] Loss_D: -0.020336 Loss_G: 0.015941 Loss_D_real: -0.028749 Loss_D_fake -0.008413
[1366/5000][175/535][140937] Loss_D: -0.019074 Loss_G: 0.020219 Loss_D_real: -0.021704 Loss_D_fake -0.002631
[1366/5000][180/535][140938] Loss_D: -0.019927 Loss_G: 0.003576 Loss_D_real: -0.016820 Loss_D_fake 0.003107
[1366/5000][185/535][140939] Loss_D: -0.018817 Loss_G: 0.015284 Loss_D_real: -0.022064 Loss_D_fake -0.003247
[1366/5000][190/535][140940] Loss_D: -0.017968 Loss_G: 0.016903 Loss_D_real: -0.029802 Loss_D_fake -0.011834
[1366/5000][195/535][140941] Loss_D: -0.018565 Loss_G: 0.016945 Loss_D_real: -0.026391 Loss_D_fake -0.007827
[1366/5000][200/535][140942] Loss_D: -0.020371 Loss_G: 0.009135 Loss_D_real: -0.008527 Loss_D_fake 0.011843
[1366/5000][205/535][140943] Loss_D: -0.019903 Loss_G: -0.007129 Loss_D_real: -0.009336 Loss_D_fake 0.010567
[1366/5000][210/535][140944] Loss_D: -0.019420 Loss_G: 0.014099 Loss_D_real: -0.017972 Loss_D_fake 0.001448
[1366/5000][215/535][140945] Loss_D: -0.020317 Loss_G: -0.003337 Loss_D_real: -0.016908 Loss_D_fake 0.003409
[1366/5000][220/535][140946] Loss_D: -0.019304 Loss_G: 0.022163 Loss_D_real: -0.027560 Loss_D_fake -0.008257
[1366/5000][225/535][140947] Loss_D: -0.021751 Loss_G: -0.002822 Loss_D_real: -0.004420 Loss_D_fake 0.017332
[1366/5000][230/535][140948] Loss_D: -0.019600 Loss_G: 0.007118 Loss_D_real: -0.029288 Loss_D_fake -0.009688
[1366/5000][235/535][140949] Loss_D: -0.019655 Loss_G: -0.007378 Loss_D_real: -0.004482 Loss_D_fake 0.015173
[1366/5000][240/535][140950] Loss_D: -0.019377 Loss_G: 0.017113 Loss_D_real: -0.027618 Loss_D_fake -0.008241
[1366/5000][245/535][140951] Loss_D: -0.019914 Loss_G: 0.017158 Loss_D_real: -0.018014 Loss_D_fake 0.001900
[1366/5000][250/535][140952] Loss_D: -0.021032 Loss_G: -0.000669 Loss_D_real: -0.013438 Loss_D_fake 0.007594
[1366/5000][255/535][140953] Loss_D: -0.019639 Loss_G: -0.009656 Loss_D_real: -0.000064 Loss_D_fake 0.019575
[1366/5000][260/535][140954] Loss_D: -0.018945 Loss_G: 0.025121 Loss_D_real: -0.029623 Loss_D_fake -0.010677
[1366/5000][265/535][140955] Loss_D: -0.019491 Loss_G: 0.018809 Loss_D_real: -0.026998 Loss_D_fake -0.007507
[1366/5000][270/535][140956] Loss_D: -0.018141 Loss_G: -0.012096 Loss_D_real: -0.002092 Loss_D_fake 0.016050
[1366/5000][275/535][140957] Loss_D: -0.020795 Loss_G: 0.002073 Loss_D_real: -0.014894 Loss_D_fake 0.005901
[1366/5000][280/535][140958] Loss_D: -0.019496 Loss_G: -0.015787 Loss_D_real: -0.001584 Loss_D_fake 0.017912
[1366/5000][285/535][140959] Loss_D: -0.019169 Loss_G: 0.016649 Loss_D_real: -0.022698 Loss_D_fake -0.003529
[1366/5000][290/535][140960] Loss_D: -0.019431 Loss_G: 0.006264 Loss_D_real: -0.020237 Loss_D_fake -0.000806
[1366/5000][295/535][140961] Loss_D: -0.016724 Loss_G: 0.010917 Loss_D_real: -0.034585 Loss_D_fake -0.017861
[1366/5000][300/535][140962] Loss_D: -0.019493 Loss_G: 0.011584 Loss_D_real: -0.016197 Loss_D_fake 0.003296
[1366/5000][305/535][140963] Loss_D: -0.020348 Loss_G: 0.006486 Loss_D_real: -0.013735 Loss_D_fake 0.006613
[1366/5000][310/535][140964] Loss_D: -0.019353 Loss_G: 0.012134 Loss_D_real: -0.018290 Loss_D_fake 0.001063
[1366/5000][315/535][140965] Loss_D: -0.019431 Loss_G: -0.009530 Loss_D_real: -0.011055 Loss_D_fake 0.008377
[1366/5000][320/535][140966] Loss_D: -0.020358 Loss_G: 0.013415 Loss_D_real: -0.013360 Loss_D_fake 0.006998
[1366/5000][325/535][140967] Loss_D: -0.020321 Loss_G: 0.011437 Loss_D_real: -0.014093 Loss_D_fake 0.006228
[1366/5000][330/535][140968] Loss_D: -0.021618 Loss_G: 0.021114 Loss_D_real: -0.020947 Loss_D_fake 0.000671
[1366/5000][335/535][140969] Loss_D: -0.018979 Loss_G: 0.018417 Loss_D_real: -0.024287 Loss_D_fake -0.005308
[1366/5000][340/535][140970] Loss_D: -0.021078 Loss_G: 0.010548 Loss_D_real: -0.030045 Loss_D_fake -0.008967
[1366/5000][345/535][140971] Loss_D: -0.020363 Loss_G: 0.006694 Loss_D_real: -0.017253 Loss_D_fake 0.003110
[1366/5000][350/535][140972] Loss_D: -0.020226 Loss_G: 0.023305 Loss_D_real: -0.020338 Loss_D_fake -0.000112
[1366/5000][355/535][140973] Loss_D: -0.018355 Loss_G: -0.022973 Loss_D_real: 0.002126 Loss_D_fake 0.020480
[1366/5000][360/535][140974] Loss_D: -0.019679 Loss_G: -0.005056 Loss_D_real: 0.007409 Loss_D_fake 0.027088
[1366/5000][365/535][140975] Loss_D: -0.019054 Loss_G: 0.010102 Loss_D_real: -0.014228 Loss_D_fake 0.004826
[1366/5000][370/535][140976] Loss_D: -0.019017 Loss_G: 0.017301 Loss_D_real: -0.019801 Loss_D_fake -0.000784
[1366/5000][375/535][140977] Loss_D: -0.018468 Loss_G: 0.012089 Loss_D_real: -0.031062 Loss_D_fake -0.012594
[1366/5000][380/535][140978] Loss_D: -0.019858 Loss_G: -0.008172 Loss_D_real: -0.012672 Loss_D_fake 0.007186
[1366/5000][385/535][140979] Loss_D: -0.020426 Loss_G: -0.006060 Loss_D_real: -0.010709 Loss_D_fake 0.009718
[1366/5000][390/535][140980] Loss_D: -0.020418 Loss_G: 0.009713 Loss_D_real: -0.013707 Loss_D_fake 0.006710
[1366/5000][395/535][140981] Loss_D: -0.020159 Loss_G: 0.021032 Loss_D_real: -0.019032 Loss_D_fake 0.001127
[1366/5000][400/535][140982] Loss_D: -0.020478 Loss_G: 0.001603 Loss_D_real: -0.012679 Loss_D_fake 0.007799
[1366/5000][405/535][140983] Loss_D: -0.020410 Loss_G: -0.000761 Loss_D_real: -0.028040 Loss_D_fake -0.007630
[1366/5000][410/535][140984] Loss_D: -0.019759 Loss_G: 0.007330 Loss_D_real: -0.014745 Loss_D_fake 0.005014
[1366/5000][415/535][140985] Loss_D: -0.020133 Loss_G: 0.009159 Loss_D_real: -0.020563 Loss_D_fake -0.000430
[1366/5000][420/535][140986] Loss_D: -0.020651 Loss_G: -0.014660 Loss_D_real: -0.007839 Loss_D_fake 0.012812
[1366/5000][425/535][140987] Loss_D: -0.019719 Loss_G: 0.001703 Loss_D_real: -0.016778 Loss_D_fake 0.002940
[1366/5000][430/535][140988] Loss_D: -0.019814 Loss_G: 0.027566 Loss_D_real: -0.035975 Loss_D_fake -0.016162
[1366/5000][435/535][140989] Loss_D: -0.019089 Loss_G: -0.022755 Loss_D_real: -0.006923 Loss_D_fake 0.012166
[1366/5000][440/535][140990] Loss_D: -0.020307 Loss_G: -0.000997 Loss_D_real: -0.016442 Loss_D_fake 0.003865
[1366/5000][445/535][140991] Loss_D: -0.018962 Loss_G: 0.000307 Loss_D_real: -0.016379 Loss_D_fake 0.002583
[1366/5000][450/535][140992] Loss_D: -0.020275 Loss_G: 0.001558 Loss_D_real: 0.000752 Loss_D_fake 0.021028
[1366/5000][455/535][140993] Loss_D: -0.019776 Loss_G: -0.008018 Loss_D_real: -0.004896 Loss_D_fake 0.014880
[1366/5000][460/535][140994] Loss_D: -0.018718 Loss_G: 0.017918 Loss_D_real: -0.028599 Loss_D_fake -0.009881
[1366/5000][465/535][140995] Loss_D: -0.019463 Loss_G: 0.002812 Loss_D_real: -0.026245 Loss_D_fake -0.006781
[1366/5000][470/535][140996] Loss_D: -0.019801 Loss_G: 0.024260 Loss_D_real: -0.024503 Loss_D_fake -0.004702
[1366/5000][475/535][140997] Loss_D: -0.019175 Loss_G: 0.005704 Loss_D_real: -0.014724 Loss_D_fake 0.004451
[1366/5000][480/535][140998] Loss_D: -0.020240 Loss_G: -0.005420 Loss_D_real: 0.000376 Loss_D_fake 0.020616
[1366/5000][485/535][140999] Loss_D: -0.018617 Loss_G: 0.004189 Loss_D_real: -0.011603 Loss_D_fake 0.007014
[1366/5000][490/535][141000] Loss_D: -0.017949 Loss_G: -0.008094 Loss_D_real: -0.010351 Loss_D_fake 0.007598
[1366/5000][535/535][141001] Loss_D: -0.023050 Loss_G: 0.010460 Loss_D_real: -0.004243 Loss_D_fake 0.018807
[1367/5000][5/535][141002] Loss_D: -0.022120 Loss_G: -0.000250 Loss_D_real: -0.018018 Loss_D_fake 0.004101
[1367/5000][10/535][141003] Loss_D: -0.020485 Loss_G: 0.017917 Loss_D_real: -0.020043 Loss_D_fake 0.000442
[1367/5000][15/535][141004] Loss_D: -0.017773 Loss_G: -0.006488 Loss_D_real: -0.009135 Loss_D_fake 0.008638
[1367/5000][20/535][141005] Loss_D: -0.020192 Loss_G: 0.015978 Loss_D_real: -0.010063 Loss_D_fake 0.010129
[1367/5000][25/535][141006] Loss_D: -0.020366 Loss_G: 0.003810 Loss_D_real: -0.024339 Loss_D_fake -0.003973
[1367/5000][30/535][141007] Loss_D: -0.020943 Loss_G: -0.002922 Loss_D_real: -0.012800 Loss_D_fake 0.008143
[1367/5000][35/535][141008] Loss_D: -0.018475 Loss_G: 0.017204 Loss_D_real: -0.021739 Loss_D_fake -0.003263
[1367/5000][40/535][141009] Loss_D: -0.019154 Loss_G: 0.007940 Loss_D_real: -0.031022 Loss_D_fake -0.011869
[1367/5000][45/535][141010] Loss_D: -0.019692 Loss_G: 0.013144 Loss_D_real: -0.018748 Loss_D_fake 0.000944
[1367/5000][50/535][141011] Loss_D: -0.020947 Loss_G: 0.011240 Loss_D_real: -0.016584 Loss_D_fake 0.004364
[1367/5000][55/535][141012] Loss_D: -0.021309 Loss_G: 0.003073 Loss_D_real: -0.012717 Loss_D_fake 0.008593
[1367/5000][60/535][141013] Loss_D: -0.019738 Loss_G: 0.021666 Loss_D_real: -0.019252 Loss_D_fake 0.000486
[1367/5000][65/535][141014] Loss_D: -0.021417 Loss_G: 0.006954 Loss_D_real: -0.018605 Loss_D_fake 0.002812
[1367/5000][70/535][141015] Loss_D: -0.020096 Loss_G: 0.011046 Loss_D_real: -0.025614 Loss_D_fake -0.005518
[1367/5000][75/535][141016] Loss_D: -0.019574 Loss_G: 0.021223 Loss_D_real: -0.035229 Loss_D_fake -0.015655
[1367/5000][80/535][141017] Loss_D: -0.019303 Loss_G: 0.005372 Loss_D_real: -0.023247 Loss_D_fake -0.003945
[1367/5000][85/535][141018] Loss_D: -0.019777 Loss_G: 0.023039 Loss_D_real: -0.027898 Loss_D_fake -0.008121
[1367/5000][90/535][141019] Loss_D: -0.019940 Loss_G: -0.004758 Loss_D_real: -0.018648 Loss_D_fake 0.001292
[1367/5000][95/535][141020] Loss_D: -0.018295 Loss_G: -0.004392 Loss_D_real: -0.009222 Loss_D_fake 0.009073
[1367/5000][100/535][141021] Loss_D: -0.020049 Loss_G: 0.003849 Loss_D_real: -0.023132 Loss_D_fake -0.003083
[1367/5000][105/535][141022] Loss_D: -0.021304 Loss_G: 0.004985 Loss_D_real: -0.012804 Loss_D_fake 0.008500
[1367/5000][110/535][141023] Loss_D: -0.019592 Loss_G: 0.021162 Loss_D_real: -0.028279 Loss_D_fake -0.008687
[1367/5000][115/535][141024] Loss_D: -0.019548 Loss_G: -0.004177 Loss_D_real: -0.005224 Loss_D_fake 0.014323
[1367/5000][120/535][141025] Loss_D: -0.020369 Loss_G: 0.012083 Loss_D_real: -0.023577 Loss_D_fake -0.003208
[1367/5000][125/535][141026] Loss_D: -0.019763 Loss_G: 0.015201 Loss_D_real: -0.014724 Loss_D_fake 0.005038
[1367/5000][130/535][141027] Loss_D: -0.020331 Loss_G: 0.009344 Loss_D_real: -0.016601 Loss_D_fake 0.003731
[1367/5000][135/535][141028] Loss_D: -0.019869 Loss_G: 0.001024 Loss_D_real: -0.014021 Loss_D_fake 0.005848
[1367/5000][140/535][141029] Loss_D: -0.019175 Loss_G: 0.025068 Loss_D_real: -0.025397 Loss_D_fake -0.006222
[1367/5000][145/535][141030] Loss_D: -0.021170 Loss_G: 0.009875 Loss_D_real: -0.024660 Loss_D_fake -0.003490
[1367/5000][150/535][141031] Loss_D: -0.019372 Loss_G: 0.005057 Loss_D_real: -0.003328 Loss_D_fake 0.016045
[1367/5000][155/535][141032] Loss_D: -0.019569 Loss_G: 0.011201 Loss_D_real: -0.031576 Loss_D_fake -0.012007
[1367/5000][160/535][141033] Loss_D: -0.020459 Loss_G: 0.013412 Loss_D_real: -0.016178 Loss_D_fake 0.004281
[1367/5000][165/535][141034] Loss_D: -0.019370 Loss_G: -0.001205 Loss_D_real: -0.015365 Loss_D_fake 0.004005
[1367/5000][170/535][141035] Loss_D: -0.018149 Loss_G: 0.028152 Loss_D_real: -0.033295 Loss_D_fake -0.015146
[1367/5000][175/535][141036] Loss_D: -0.020493 Loss_G: -0.017919 Loss_D_real: -0.004326 Loss_D_fake 0.016167
[1367/5000][180/535][141037] Loss_D: -0.019747 Loss_G: -0.004270 Loss_D_real: -0.005254 Loss_D_fake 0.014493
[1367/5000][185/535][141038] Loss_D: -0.020236 Loss_G: 0.017967 Loss_D_real: -0.032147 Loss_D_fake -0.011911
[1367/5000][190/535][141039] Loss_D: -0.020394 Loss_G: -0.005369 Loss_D_real: -0.009433 Loss_D_fake 0.010962
[1367/5000][195/535][141040] Loss_D: -0.019399 Loss_G: 0.005612 Loss_D_real: -0.023131 Loss_D_fake -0.003732
[1367/5000][200/535][141041] Loss_D: -0.018864 Loss_G: -0.012003 Loss_D_real: -0.006065 Loss_D_fake 0.012799
[1367/5000][205/535][141042] Loss_D: -0.019722 Loss_G: 0.010140 Loss_D_real: -0.017074 Loss_D_fake 0.002649
[1367/5000][210/535][141043] Loss_D: -0.020450 Loss_G: 0.006092 Loss_D_real: -0.010146 Loss_D_fake 0.010303
[1367/5000][215/535][141044] Loss_D: -0.019906 Loss_G: 0.014373 Loss_D_real: -0.001695 Loss_D_fake 0.018211
[1367/5000][220/535][141045] Loss_D: -0.019115 Loss_G: 0.003442 Loss_D_real: -0.007838 Loss_D_fake 0.011277
[1367/5000][225/535][141046] Loss_D: -0.021207 Loss_G: -0.000070 Loss_D_real: -0.016462 Loss_D_fake 0.004745
[1367/5000][230/535][141047] Loss_D: -0.019313 Loss_G: -0.018212 Loss_D_real: 0.003022 Loss_D_fake 0.022334
[1367/5000][235/535][141048] Loss_D: -0.018836 Loss_G: 0.011289 Loss_D_real: -0.024900 Loss_D_fake -0.006064
[1367/5000][240/535][141049] Loss_D: -0.018052 Loss_G: 0.027944 Loss_D_real: -0.016215 Loss_D_fake 0.001837
[1367/5000][245/535][141050] Loss_D: -0.019263 Loss_G: -0.006642 Loss_D_real: 0.001721 Loss_D_fake 0.020985
[1367/5000][250/535][141051] Loss_D: -0.019535 Loss_G: 0.016618 Loss_D_real: -0.013249 Loss_D_fake 0.006287
[1367/5000][255/535][141052] Loss_D: -0.020601 Loss_G: 0.013884 Loss_D_real: -0.024354 Loss_D_fake -0.003753
[1367/5000][260/535][141053] Loss_D: -0.019278 Loss_G: 0.014073 Loss_D_real: -0.027898 Loss_D_fake -0.008619
[1367/5000][265/535][141054] Loss_D: -0.020528 Loss_G: 0.011986 Loss_D_real: -0.018135 Loss_D_fake 0.002393
[1367/5000][270/535][141055] Loss_D: -0.019753 Loss_G: 0.004943 Loss_D_real: -0.021222 Loss_D_fake -0.001469
[1367/5000][275/535][141056] Loss_D: -0.021267 Loss_G: -0.013659 Loss_D_real: -0.010353 Loss_D_fake 0.010914
[1367/5000][280/535][141057] Loss_D: -0.021640 Loss_G: 0.013003 Loss_D_real: -0.011340 Loss_D_fake 0.010300
[1367/5000][285/535][141058] Loss_D: -0.020506 Loss_G: 0.010464 Loss_D_real: -0.009089 Loss_D_fake 0.011418
[1367/5000][290/535][141059] Loss_D: -0.019912 Loss_G: 0.028116 Loss_D_real: -0.019094 Loss_D_fake 0.000817
[1367/5000][295/535][141060] Loss_D: -0.019103 Loss_G: 0.001698 Loss_D_real: -0.003499 Loss_D_fake 0.015604
[1367/5000][300/535][141061] Loss_D: -0.019899 Loss_G: 0.009496 Loss_D_real: -0.022140 Loss_D_fake -0.002241
[1367/5000][305/535][141062] Loss_D: -0.021005 Loss_G: 0.007912 Loss_D_real: -0.014005 Loss_D_fake 0.007000
[1367/5000][310/535][141063] Loss_D: -0.020343 Loss_G: 0.005443 Loss_D_real: -0.030794 Loss_D_fake -0.010450
[1367/5000][315/535][141064] Loss_D: -0.019552 Loss_G: 0.011766 Loss_D_real: -0.017981 Loss_D_fake 0.001571
[1367/5000][320/535][141065] Loss_D: -0.018147 Loss_G: 0.002082 Loss_D_real: -0.014915 Loss_D_fake 0.003232
[1367/5000][325/535][141066] Loss_D: -0.019263 Loss_G: -0.007818 Loss_D_real: -0.005872 Loss_D_fake 0.013390
[1367/5000][330/535][141067] Loss_D: -0.019465 Loss_G: 0.025207 Loss_D_real: -0.026731 Loss_D_fake -0.007266
[1367/5000][335/535][141068] Loss_D: -0.020925 Loss_G: 0.018869 Loss_D_real: -0.024001 Loss_D_fake -0.003076
[1367/5000][340/535][141069] Loss_D: -0.019995 Loss_G: -0.001871 Loss_D_real: -0.013890 Loss_D_fake 0.006104
[1367/5000][345/535][141070] Loss_D: -0.019971 Loss_G: -0.011861 Loss_D_real: 0.005734 Loss_D_fake 0.025705
[1367/5000][350/535][141071] Loss_D: -0.019220 Loss_G: 0.007586 Loss_D_real: -0.025134 Loss_D_fake -0.005914
[1367/5000][355/535][141072] Loss_D: -0.018901 Loss_G: 0.001884 Loss_D_real: -0.016760 Loss_D_fake 0.002141
[1367/5000][360/535][141073] Loss_D: -0.019513 Loss_G: -0.004680 Loss_D_real: -0.015027 Loss_D_fake 0.004486
[1367/5000][365/535][141074] Loss_D: -0.019791 Loss_G: 0.004955 Loss_D_real: -0.018169 Loss_D_fake 0.001623
[1367/5000][370/535][141075] Loss_D: -0.018835 Loss_G: 0.017697 Loss_D_real: -0.019132 Loss_D_fake -0.000296
[1367/5000][375/535][141076] Loss_D: -0.020827 Loss_G: -0.008670 Loss_D_real: -0.013563 Loss_D_fake 0.007264
[1367/5000][380/535][141077] Loss_D: -0.019957 Loss_G: 0.018728 Loss_D_real: -0.029279 Loss_D_fake -0.009322
[1367/5000][385/535][141078] Loss_D: -0.020490 Loss_G: -0.002785 Loss_D_real: -0.009210 Loss_D_fake 0.011281
[1367/5000][390/535][141079] Loss_D: -0.021171 Loss_G: 0.023516 Loss_D_real: -0.010300 Loss_D_fake 0.010871
[1367/5000][395/535][141080] Loss_D: -0.019945 Loss_G: 0.001768 Loss_D_real: -0.001574 Loss_D_fake 0.018371
[1367/5000][400/535][141081] Loss_D: -0.017641 Loss_G: 0.016999 Loss_D_real: -0.014447 Loss_D_fake 0.003194
[1367/5000][405/535][141082] Loss_D: -0.019118 Loss_G: 0.003774 Loss_D_real: -0.013759 Loss_D_fake 0.005359
[1367/5000][410/535][141083] Loss_D: -0.017329 Loss_G: 0.022939 Loss_D_real: -0.028008 Loss_D_fake -0.010679
[1367/5000][415/535][141084] Loss_D: -0.020675 Loss_G: -0.003716 Loss_D_real: -0.012244 Loss_D_fake 0.008431
[1367/5000][420/535][141085] Loss_D: -0.020987 Loss_G: 0.014024 Loss_D_real: -0.011072 Loss_D_fake 0.009916
[1367/5000][425/535][141086] Loss_D: -0.019632 Loss_G: -0.011425 Loss_D_real: 0.002026 Loss_D_fake 0.021658
[1367/5000][430/535][141087] Loss_D: -0.019006 Loss_G: -0.006590 Loss_D_real: -0.006177 Loss_D_fake 0.012829
[1367/5000][435/535][141088] Loss_D: -0.020475 Loss_G: 0.002507 Loss_D_real: -0.007154 Loss_D_fake 0.013321
[1367/5000][440/535][141089] Loss_D: -0.019004 Loss_G: -0.013173 Loss_D_real: -0.012303 Loss_D_fake 0.006701
[1367/5000][445/535][141090] Loss_D: -0.019276 Loss_G: 0.005408 Loss_D_real: -0.017806 Loss_D_fake 0.001470
[1367/5000][450/535][141091] Loss_D: -0.020474 Loss_G: 0.020225 Loss_D_real: -0.017111 Loss_D_fake 0.003363
[1367/5000][455/535][141092] Loss_D: -0.020265 Loss_G: 0.002282 Loss_D_real: -0.010167 Loss_D_fake 0.010098
[1367/5000][460/535][141093] Loss_D: -0.019225 Loss_G: 0.008271 Loss_D_real: -0.010097 Loss_D_fake 0.009127
[1367/5000][465/535][141094] Loss_D: -0.018579 Loss_G: 0.006771 Loss_D_real: -0.013568 Loss_D_fake 0.005011
[1367/5000][470/535][141095] Loss_D: -0.019704 Loss_G: 0.017806 Loss_D_real: -0.032342 Loss_D_fake -0.012638
[1367/5000][475/535][141096] Loss_D: -0.018352 Loss_G: 0.003812 Loss_D_real: -0.021152 Loss_D_fake -0.002800
[1367/5000][480/535][141097] Loss_D: -0.018249 Loss_G: -0.010047 Loss_D_real: 0.005163 Loss_D_fake 0.023412
[1367/5000][485/535][141098] Loss_D: -0.019823 Loss_G: -0.003236 Loss_D_real: -0.005486 Loss_D_fake 0.014337
[1367/5000][490/535][141099] Loss_D: -0.019287 Loss_G: 0.032564 Loss_D_real: -0.032794 Loss_D_fake -0.013506
[1367/5000][495/535][141100] Loss_D: -0.020465 Loss_G: 0.009205 Loss_D_real: -0.014173 Loss_D_fake 0.006292
[1367/5000][500/535][141101] Loss_D: -0.020185 Loss_G: 0.007365 Loss_D_real: -0.019230 Loss_D_fake 0.000955
[1367/5000][505/535][141102] Loss_D: -0.020954 Loss_G: -0.008503 Loss_D_real: -0.014452 Loss_D_fake 0.006502
[1367/5000][510/535][141103] Loss_D: -0.020944 Loss_G: 0.010543 Loss_D_real: -0.013545 Loss_D_fake 0.007399
[1367/5000][515/535][141104] Loss_D: -0.019849 Loss_G: -0.006896 Loss_D_real: -0.012379 Loss_D_fake 0.007470
[1367/5000][520/535][141105] Loss_D: -0.020561 Loss_G: -0.004597 Loss_D_real: -0.006467 Loss_D_fake 0.014094
[1367/5000][525/535][141106] Loss_D: -0.020007 Loss_G: -0.007622 Loss_D_real: -0.016171 Loss_D_fake 0.003836
[1367/5000][530/535][141107] Loss_D: -0.018532 Loss_G: -0.011479 Loss_D_real: 0.000243 Loss_D_fake 0.018774
[1367/5000][535/535][141108] Loss_D: -0.023277 Loss_G: 0.035404 Loss_D_real: -0.009131 Loss_D_fake 0.014146
[1368/5000][5/535][141109] Loss_D: -0.019331 Loss_G: 0.017828 Loss_D_real: -0.026532 Loss_D_fake -0.007201
[1368/5000][10/535][141110] Loss_D: -0.019535 Loss_G: 0.006947 Loss_D_real: -0.015639 Loss_D_fake 0.003896
[1368/5000][15/535][141111] Loss_D: -0.019867 Loss_G: -0.017731 Loss_D_real: 0.001881 Loss_D_fake 0.021748
[1368/5000][20/535][141112] Loss_D: -0.019084 Loss_G: 0.010949 Loss_D_real: -0.018859 Loss_D_fake 0.000225
[1368/5000][25/535][141113] Loss_D: -0.019994 Loss_G: -0.003892 Loss_D_real: -0.014685 Loss_D_fake 0.005309
[1368/5000][30/535][141114] Loss_D: -0.020088 Loss_G: -0.005778 Loss_D_real: -0.013992 Loss_D_fake 0.006095
[1368/5000][35/535][141115] Loss_D: -0.019751 Loss_G: 0.008462 Loss_D_real: -0.010984 Loss_D_fake 0.008766
[1368/5000][40/535][141116] Loss_D: -0.017857 Loss_G: 0.017333 Loss_D_real: -0.021567 Loss_D_fake -0.003710
[1368/5000][45/535][141117] Loss_D: -0.018667 Loss_G: 0.005055 Loss_D_real: -0.025788 Loss_D_fake -0.007121
[1368/5000][50/535][141118] Loss_D: -0.019365 Loss_G: -0.003374 Loss_D_real: -0.003179 Loss_D_fake 0.016186
[1368/5000][55/535][141119] Loss_D: -0.018102 Loss_G: 0.013102 Loss_D_real: -0.016148 Loss_D_fake 0.001953
[1368/5000][60/535][141120] Loss_D: -0.019115 Loss_G: -0.015440 Loss_D_real: -0.007902 Loss_D_fake 0.011212
[1368/5000][65/535][141121] Loss_D: -0.018490 Loss_G: 0.026053 Loss_D_real: -0.031597 Loss_D_fake -0.013107
[1368/5000][70/535][141122] Loss_D: -0.019279 Loss_G: -0.001199 Loss_D_real: -0.004709 Loss_D_fake 0.014569
[1368/5000][75/535][141123] Loss_D: -0.018714 Loss_G: -0.000973 Loss_D_real: -0.016425 Loss_D_fake 0.002289
[1368/5000][80/535][141124] Loss_D: -0.018609 Loss_G: 0.017952 Loss_D_real: -0.023017 Loss_D_fake -0.004407
[1368/5000][85/535][141125] Loss_D: -0.020427 Loss_G: -0.002983 Loss_D_real: -0.012836 Loss_D_fake 0.007591
[1368/5000][90/535][141126] Loss_D: -0.020392 Loss_G: 0.002457 Loss_D_real: -0.020842 Loss_D_fake -0.000450
[1368/5000][95/535][141127] Loss_D: -0.020531 Loss_G: 0.001757 Loss_D_real: -0.002775 Loss_D_fake 0.017756
[1368/5000][100/535][141128] Loss_D: -0.020607 Loss_G: 0.011009 Loss_D_real: -0.016682 Loss_D_fake 0.003925
[1368/5000][105/535][141129] Loss_D: -0.019131 Loss_G: -0.004357 Loss_D_real: -0.024571 Loss_D_fake -0.005440
[1368/5000][110/535][141130] Loss_D: -0.019037 Loss_G: 0.005844 Loss_D_real: -0.013984 Loss_D_fake 0.005053
[1368/5000][115/535][141131] Loss_D: -0.019232 Loss_G: 0.013394 Loss_D_real: -0.017658 Loss_D_fake 0.001574
[1368/5000][120/535][141132] Loss_D: -0.021994 Loss_G: 0.026952 Loss_D_real: -0.016781 Loss_D_fake 0.005212
[1368/5000][125/535][141133] Loss_D: -0.020317 Loss_G: 0.005387 Loss_D_real: -0.017989 Loss_D_fake 0.002328
[1368/5000][130/535][141134] Loss_D: -0.021365 Loss_G: 0.020919 Loss_D_real: -0.015036 Loss_D_fake 0.006329
[1368/5000][135/535][141135] Loss_D: -0.020929 Loss_G: 0.020962 Loss_D_real: -0.019679 Loss_D_fake 0.001250
[1368/5000][140/535][141136] Loss_D: -0.019377 Loss_G: 0.012367 Loss_D_real: -0.029727 Loss_D_fake -0.010350
[1368/5000][145/535][141137] Loss_D: -0.019808 Loss_G: 0.013238 Loss_D_real: -0.017427 Loss_D_fake 0.002381
[1368/5000][150/535][141138] Loss_D: -0.019098 Loss_G: 0.027401 Loss_D_real: -0.025208 Loss_D_fake -0.006110
[1368/5000][155/535][141139] Loss_D: -0.020678 Loss_G: -0.002826 Loss_D_real: -0.016352 Loss_D_fake 0.004326
[1368/5000][160/535][141140] Loss_D: -0.020042 Loss_G: 0.015875 Loss_D_real: -0.014370 Loss_D_fake 0.005672
[1368/5000][165/535][141141] Loss_D: -0.019783 Loss_G: -0.008221 Loss_D_real: 0.002162 Loss_D_fake 0.021945
[1368/5000][170/535][141142] Loss_D: -0.020335 Loss_G: 0.013470 Loss_D_real: -0.013612 Loss_D_fake 0.006724
[1368/5000][175/535][141143] Loss_D: -0.020790 Loss_G: -0.004852 Loss_D_real: -0.011486 Loss_D_fake 0.009304
[1368/5000][180/535][141144] Loss_D: -0.020167 Loss_G: -0.002256 Loss_D_real: -0.018774 Loss_D_fake 0.001393
[1368/5000][185/535][141145] Loss_D: -0.019927 Loss_G: 0.020999 Loss_D_real: -0.022643 Loss_D_fake -0.002716
[1368/5000][190/535][141146] Loss_D: -0.020559 Loss_G: 0.010738 Loss_D_real: -0.025367 Loss_D_fake -0.004808
[1368/5000][195/535][141147] Loss_D: -0.020006 Loss_G: 0.009460 Loss_D_real: -0.019674 Loss_D_fake 0.000332
[1368/5000][200/535][141148] Loss_D: -0.020646 Loss_G: 0.007835 Loss_D_real: -0.015646 Loss_D_fake 0.004999
[1368/5000][205/535][141149] Loss_D: -0.018616 Loss_G: -0.002497 Loss_D_real: -0.005276 Loss_D_fake 0.013340
[1368/5000][210/535][141150] Loss_D: -0.017842 Loss_G: 0.017905 Loss_D_real: -0.027392 Loss_D_fake -0.009550
[1368/5000][215/535][141151] Loss_D: -0.019965 Loss_G: 0.015903 Loss_D_real: -0.020104 Loss_D_fake -0.000139
[1368/5000][220/535][141152] Loss_D: -0.021090 Loss_G: 0.015334 Loss_D_real: -0.016294 Loss_D_fake 0.004796
[1368/5000][225/535][141153] Loss_D: -0.018933 Loss_G: -0.010001 Loss_D_real: -0.009245 Loss_D_fake 0.009688
[1368/5000][230/535][141154] Loss_D: -0.019412 Loss_G: -0.000604 Loss_D_real: -0.011738 Loss_D_fake 0.007675
[1368/5000][235/535][141155] Loss_D: -0.019853 Loss_G: 0.008242 Loss_D_real: -0.008746 Loss_D_fake 0.011107
[1368/5000][240/535][141156] Loss_D: -0.019958 Loss_G: -0.004141 Loss_D_real: -0.012616 Loss_D_fake 0.007341
[1368/5000][245/535][141157] Loss_D: -0.019735 Loss_G: -0.009912 Loss_D_real: -0.012090 Loss_D_fake 0.007645
[1368/5000][250/535][141158] Loss_D: -0.019150 Loss_G: -0.007818 Loss_D_real: -0.004121 Loss_D_fake 0.015029
[1368/5000][255/535][141159] Loss_D: -0.019932 Loss_G: 0.019025 Loss_D_real: -0.017740 Loss_D_fake 0.002193
[1368/5000][260/535][141160] Loss_D: -0.020600 Loss_G: -0.000642 Loss_D_real: -0.020750 Loss_D_fake -0.000150
[1368/5000][265/535][141161] Loss_D: -0.019752 Loss_G: 0.019152 Loss_D_real: -0.033129 Loss_D_fake -0.013377
[1368/5000][270/535][141162] Loss_D: -0.020513 Loss_G: 0.000596 Loss_D_real: -0.011285 Loss_D_fake 0.009228
[1368/5000][275/535][141163] Loss_D: -0.020348 Loss_G: 0.008900 Loss_D_real: -0.003815 Loss_D_fake 0.016534
[1368/5000][280/535][141164] Loss_D: -0.019681 Loss_G: 0.016806 Loss_D_real: -0.023949 Loss_D_fake -0.004269
[1368/5000][285/535][141165] Loss_D: -0.021996 Loss_G: 0.001892 Loss_D_real: -0.010639 Loss_D_fake 0.011356
[1368/5000][290/535][141166] Loss_D: -0.020297 Loss_G: 0.011003 Loss_D_real: -0.013509 Loss_D_fake 0.006788
[1368/5000][295/535][141167] Loss_D: -0.019798 Loss_G: 0.006243 Loss_D_real: -0.008165 Loss_D_fake 0.011633
[1368/5000][300/535][141168] Loss_D: -0.019214 Loss_G: 0.019391 Loss_D_real: -0.026449 Loss_D_fake -0.007235
[1368/5000][305/535][141169] Loss_D: -0.019097 Loss_G: -0.001324 Loss_D_real: -0.003444 Loss_D_fake 0.015653
[1368/5000][310/535][141170] Loss_D: -0.020076 Loss_G: -0.010251 Loss_D_real: -0.008870 Loss_D_fake 0.011206
[1368/5000][315/535][141171] Loss_D: -0.020228 Loss_G: 0.004196 Loss_D_real: -0.013587 Loss_D_fake 0.006640
[1368/5000][320/535][141172] Loss_D: -0.020039 Loss_G: 0.017250 Loss_D_real: -0.022170 Loss_D_fake -0.002131
[1368/5000][325/535][141173] Loss_D: -0.019562 Loss_G: -0.010842 Loss_D_real: -0.010353 Loss_D_fake 0.009208
[1368/5000][330/535][141174] Loss_D: -0.019414 Loss_G: -0.009677 Loss_D_real: -0.003304 Loss_D_fake 0.016110
[1368/5000][335/535][141175] Loss_D: -0.020516 Loss_G: 0.011913 Loss_D_real: -0.021321 Loss_D_fake -0.000805
[1368/5000][340/535][141176] Loss_D: -0.019337 Loss_G: -0.001282 Loss_D_real: -0.010580 Loss_D_fake 0.008757
[1368/5000][345/535][141177] Loss_D: -0.020075 Loss_G: 0.000141 Loss_D_real: -0.013173 Loss_D_fake 0.006902
[1368/5000][350/535][141178] Loss_D: -0.017768 Loss_G: 0.010042 Loss_D_real: -0.023228 Loss_D_fake -0.005460
[1368/5000][355/535][141179] Loss_D: -0.020265 Loss_G: 0.019448 Loss_D_real: -0.014546 Loss_D_fake 0.005719
[1368/5000][360/535][141180] Loss_D: -0.019997 Loss_G: 0.006012 Loss_D_real: -0.023651 Loss_D_fake -0.003654
[1368/5000][365/535][141181] Loss_D: -0.020171 Loss_G: 0.022358 Loss_D_real: -0.029836 Loss_D_fake -0.009665
[1368/5000][370/535][141182] Loss_D: -0.019500 Loss_G: -0.000694 Loss_D_real: -0.009550 Loss_D_fake 0.009950
[1368/5000][375/535][141183] Loss_D: -0.019084 Loss_G: -0.011223 Loss_D_real: 0.000843 Loss_D_fake 0.019927
[1368/5000][380/535][141184] Loss_D: -0.019809 Loss_G: 0.020152 Loss_D_real: -0.030929 Loss_D_fake -0.011120
[1368/5000][385/535][141185] Loss_D: -0.019714 Loss_G: 0.020229 Loss_D_real: -0.018880 Loss_D_fake 0.000834
[1368/5000][390/535][141186] Loss_D: -0.020331 Loss_G: 0.019666 Loss_D_real: -0.024171 Loss_D_fake -0.003841
[1368/5000][395/535][141187] Loss_D: -0.019952 Loss_G: 0.021036 Loss_D_real: -0.024389 Loss_D_fake -0.004437
[1368/5000][400/535][141188] Loss_D: -0.022590 Loss_G: -0.010129 Loss_D_real: -0.023360 Loss_D_fake -0.000770
[1368/5000][405/535][141189] Loss_D: -0.019919 Loss_G: 0.000129 Loss_D_real: -0.007169 Loss_D_fake 0.012750
[1368/5000][410/535][141190] Loss_D: -0.020018 Loss_G: 0.012429 Loss_D_real: -0.014275 Loss_D_fake 0.005742
[1368/5000][415/535][141191] Loss_D: -0.019636 Loss_G: 0.003068 Loss_D_real: -0.017955 Loss_D_fake 0.001681
[1368/5000][420/535][141192] Loss_D: -0.020001 Loss_G: 0.004916 Loss_D_real: -0.015117 Loss_D_fake 0.004883
[1368/5000][425/535][141193] Loss_D: -0.020956 Loss_G: 0.002809 Loss_D_real: -0.002525 Loss_D_fake 0.018431
[1368/5000][430/535][141194] Loss_D: -0.021069 Loss_G: 0.021739 Loss_D_real: -0.019135 Loss_D_fake 0.001934
[1368/5000][435/535][141195] Loss_D: -0.020026 Loss_G: 0.006961 Loss_D_real: -0.012084 Loss_D_fake 0.007942
[1368/5000][440/535][141196] Loss_D: -0.019031 Loss_G: -0.009434 Loss_D_real: -0.003487 Loss_D_fake 0.015544
[1368/5000][445/535][141197] Loss_D: -0.021889 Loss_G: 0.002145 Loss_D_real: -0.012552 Loss_D_fake 0.009337
[1368/5000][450/535][141198] Loss_D: -0.019236 Loss_G: -0.000124 Loss_D_real: -0.025128 Loss_D_fake -0.005892
[1368/5000][455/535][141199] Loss_D: -0.019073 Loss_G: 0.001810 Loss_D_real: -0.026145 Loss_D_fake -0.007073
[1368/5000][460/535][141200] Loss_D: -0.019595 Loss_G: 0.006708 Loss_D_real: -0.014495 Loss_D_fake 0.005100
[1368/5000][465/535][141201] Loss_D: -0.020682 Loss_G: 0.008501 Loss_D_real: -0.009865 Loss_D_fake 0.010817
[1368/5000][470/535][141202] Loss_D: -0.020316 Loss_G: 0.008764 Loss_D_real: -0.013758 Loss_D_fake 0.006559
[1368/5000][475/535][141203] Loss_D: -0.019361 Loss_G: 0.007508 Loss_D_real: -0.015510 Loss_D_fake 0.003850
[1368/5000][480/535][141204] Loss_D: -0.019199 Loss_G: 0.026626 Loss_D_real: -0.041837 Loss_D_fake -0.022638
[1368/5000][485/535][141205] Loss_D: -0.020075 Loss_G: 0.001073 Loss_D_real: -0.023102 Loss_D_fake -0.003027
[1368/5000][490/535][141206] Loss_D: -0.019281 Loss_G: -0.004255 Loss_D_real: -0.012876 Loss_D_fake 0.006406
[1368/5000][495/535][141207] Loss_D: -0.018976 Loss_G: 0.018795 Loss_D_real: -0.027947 Loss_D_fake -0.008970
[1368/5000][500/535][141208] Loss_D: -0.019444 Loss_G: -0.009100 Loss_D_real: -0.004717 Loss_D_fake 0.014726
[1368/5000][505/535][141209] Loss_D: -0.019432 Loss_G: -0.000801 Loss_D_real: -0.013561 Loss_D_fake 0.005872
[1368/5000][510/535][141210] Loss_D: -0.018782 Loss_G: 0.021905 Loss_D_real: -0.014607 Loss_D_fake 0.004175
[1368/5000][515/535][141211] Loss_D: -0.020097 Loss_G: 0.020072 Loss_D_real: -0.027830 Loss_D_fake -0.007733
[1368/5000][520/535][141212] Loss_D: -0.019991 Loss_G: -0.005537 Loss_D_real: -0.010847 Loss_D_fake 0.009144
[1368/5000][525/535][141213] Loss_D: -0.019099 Loss_G: 0.004665 Loss_D_real: -0.002112 Loss_D_fake 0.016987
[1368/5000][530/535][141214] Loss_D: -0.018333 Loss_G: 0.009681 Loss_D_real: -0.020822 Loss_D_fake -0.002489
[1368/5000][535/535][141215] Loss_D: -0.019695 Loss_G: 0.004582 Loss_D_real: -0.034303 Loss_D_fake -0.014608
[1369/5000][5/535][141216] Loss_D: -0.019500 Loss_G: -0.010028 Loss_D_real: -0.002174 Loss_D_fake 0.017326
[1369/5000][10/535][141217] Loss_D: -0.018882 Loss_G: -0.007259 Loss_D_real: 0.001720 Loss_D_fake 0.020601
[1369/5000][15/535][141218] Loss_D: -0.019868 Loss_G: 0.004108 Loss_D_real: -0.021453 Loss_D_fake -0.001586
[1369/5000][20/535][141219] Loss_D: -0.019982 Loss_G: 0.020053 Loss_D_real: -0.025840 Loss_D_fake -0.005858
[1369/5000][25/535][141220] Loss_D: -0.020512 Loss_G: 0.012694 Loss_D_real: -0.016617 Loss_D_fake 0.003894
[1369/5000][30/535][141221] Loss_D: -0.020764 Loss_G: 0.008748 Loss_D_real: -0.019809 Loss_D_fake 0.000955
[1369/5000][35/535][141222] Loss_D: -0.020682 Loss_G: -0.007796 Loss_D_real: -0.005245 Loss_D_fake 0.015437
[1369/5000][40/535][141223] Loss_D: -0.020994 Loss_G: 0.014886 Loss_D_real: -0.036441 Loss_D_fake -0.015446
[1369/5000][45/535][141224] Loss_D: -0.019829 Loss_G: 0.003199 Loss_D_real: -0.004511 Loss_D_fake 0.015317
[1369/5000][50/535][141225] Loss_D: -0.020856 Loss_G: 0.007057 Loss_D_real: -0.014959 Loss_D_fake 0.005897
[1369/5000][55/535][141226] Loss_D: -0.019350 Loss_G: 0.016190 Loss_D_real: -0.017681 Loss_D_fake 0.001669
[1369/5000][60/535][141227] Loss_D: -0.018596 Loss_G: 0.016431 Loss_D_real: -0.024612 Loss_D_fake -0.006015
[1369/5000][65/535][141228] Loss_D: -0.021783 Loss_G: 0.000854 Loss_D_real: -0.023632 Loss_D_fake -0.001848
[1369/5000][70/535][141229] Loss_D: -0.019501 Loss_G: 0.005531 Loss_D_real: -0.018213 Loss_D_fake 0.001288
[1369/5000][75/535][141230] Loss_D: -0.020096 Loss_G: 0.003366 Loss_D_real: -0.002601 Loss_D_fake 0.017495
[1369/5000][80/535][141231] Loss_D: -0.021009 Loss_G: 0.007539 Loss_D_real: -0.006784 Loss_D_fake 0.014226
[1369/5000][85/535][141232] Loss_D: -0.019599 Loss_G: 0.000745 Loss_D_real: -0.004188 Loss_D_fake 0.015411
[1369/5000][90/535][141233] Loss_D: -0.020721 Loss_G: -0.002045 Loss_D_real: -0.013417 Loss_D_fake 0.007304
[1369/5000][95/535][141234] Loss_D: -0.019354 Loss_G: 0.004177 Loss_D_real: -0.020383 Loss_D_fake -0.001029
[1369/5000][100/535][141235] Loss_D: -0.019462 Loss_G: -0.008271 Loss_D_real: -0.004901 Loss_D_fake 0.014561
[1369/5000][105/535][141236] Loss_D: -0.020081 Loss_G: 0.000836 Loss_D_real: -0.011547 Loss_D_fake 0.008534
[1369/5000][110/535][141237] Loss_D: -0.021901 Loss_G: 0.014982 Loss_D_real: -0.009037 Loss_D_fake 0.012864
[1369/5000][115/535][141238] Loss_D: -0.018678 Loss_G: 0.021730 Loss_D_real: -0.029437 Loss_D_fake -0.010759
[1369/5000][120/535][141239] Loss_D: -0.019497 Loss_G: -0.010468 Loss_D_real: -0.018890 Loss_D_fake 0.000607
[1369/5000][125/535][141240] Loss_D: -0.018676 Loss_G: 0.018460 Loss_D_real: -0.030174 Loss_D_fake -0.011497
[1369/5000][130/535][141241] Loss_D: -0.019397 Loss_G: 0.003185 Loss_D_real: -0.019956 Loss_D_fake -0.000559
[1369/5000][135/535][141242] Loss_D: -0.020390 Loss_G: 0.008558 Loss_D_real: -0.019293 Loss_D_fake 0.001097
[1369/5000][140/535][141243] Loss_D: -0.020933 Loss_G: 0.001629 Loss_D_real: -0.001263 Loss_D_fake 0.019670
[1369/5000][145/535][141244] Loss_D: -0.021084 Loss_G: 0.003315 Loss_D_real: -0.005661 Loss_D_fake 0.015423
[1369/5000][150/535][141245] Loss_D: -0.020918 Loss_G: -0.005584 Loss_D_real: -0.009667 Loss_D_fake 0.011251
[1369/5000][155/535][141246] Loss_D: -0.019364 Loss_G: 0.023353 Loss_D_real: -0.022556 Loss_D_fake -0.003192
[1369/5000][160/535][141247] Loss_D: -0.019474 Loss_G: -0.004591 Loss_D_real: -0.004598 Loss_D_fake 0.014876
[1369/5000][165/535][141248] Loss_D: -0.020056 Loss_G: 0.024134 Loss_D_real: -0.017010 Loss_D_fake 0.003046
[1369/5000][170/535][141249] Loss_D: -0.019612 Loss_G: -0.000572 Loss_D_real: -0.015735 Loss_D_fake 0.003877
[1369/5000][175/535][141250] Loss_D: -0.020718 Loss_G: 0.002034 Loss_D_real: -0.024753 Loss_D_fake -0.004036
[1369/5000][180/535][141251] Loss_D: -0.020671 Loss_G: 0.000742 Loss_D_real: -0.022501 Loss_D_fake -0.001830
[1369/5000][185/535][141252] Loss_D: -0.021278 Loss_G: 0.017503 Loss_D_real: -0.014854 Loss_D_fake 0.006424
[1369/5000][190/535][141253] Loss_D: -0.020089 Loss_G: -0.012088 Loss_D_real: 0.003164 Loss_D_fake 0.023254
[1369/5000][195/535][141254] Loss_D: -0.020008 Loss_G: 0.022115 Loss_D_real: -0.026787 Loss_D_fake -0.006778
[1369/5000][200/535][141255] Loss_D: -0.020381 Loss_G: 0.009195 Loss_D_real: -0.019791 Loss_D_fake 0.000590
[1369/5000][205/535][141256] Loss_D: -0.018205 Loss_G: -0.011397 Loss_D_real: -0.006348 Loss_D_fake 0.011857
[1369/5000][210/535][141257] Loss_D: -0.020412 Loss_G: -0.000478 Loss_D_real: -0.009590 Loss_D_fake 0.010821
[1369/5000][215/535][141258] Loss_D: -0.021019 Loss_G: 0.004270 Loss_D_real: -0.010025 Loss_D_fake 0.010993
[1369/5000][220/535][141259] Loss_D: -0.021352 Loss_G: 0.016864 Loss_D_real: -0.021938 Loss_D_fake -0.000586
[1369/5000][225/535][141260] Loss_D: -0.021647 Loss_G: -0.013724 Loss_D_real: -0.022684 Loss_D_fake -0.001037
[1369/5000][230/535][141261] Loss_D: -0.020493 Loss_G: -0.009374 Loss_D_real: -0.003646 Loss_D_fake 0.016847
[1369/5000][235/535][141262] Loss_D: -0.019589 Loss_G: 0.015438 Loss_D_real: -0.026275 Loss_D_fake -0.006685
[1369/5000][240/535][141263] Loss_D: -0.020994 Loss_G: 0.010382 Loss_D_real: -0.011973 Loss_D_fake 0.009021
[1369/5000][245/535][141264] Loss_D: -0.020150 Loss_G: 0.023940 Loss_D_real: -0.029636 Loss_D_fake -0.009486
[1369/5000][250/535][141265] Loss_D: -0.019142 Loss_G: 0.011865 Loss_D_real: -0.016992 Loss_D_fake 0.002150
[1369/5000][255/535][141266] Loss_D: -0.020443 Loss_G: -0.003596 Loss_D_real: -0.025309 Loss_D_fake -0.004866
[1369/5000][260/535][141267] Loss_D: -0.019483 Loss_G: 0.001551 Loss_D_real: -0.025253 Loss_D_fake -0.005770
[1369/5000][265/535][141268] Loss_D: -0.019975 Loss_G: -0.016038 Loss_D_real: 0.000779 Loss_D_fake 0.020755
[1369/5000][270/535][141269] Loss_D: -0.019287 Loss_G: 0.025568 Loss_D_real: -0.021208 Loss_D_fake -0.001921
[1369/5000][275/535][141270] Loss_D: -0.019741 Loss_G: 0.016477 Loss_D_real: -0.022991 Loss_D_fake -0.003250
[1369/5000][280/535][141271] Loss_D: -0.019459 Loss_G: 0.015372 Loss_D_real: -0.013182 Loss_D_fake 0.006277
[1369/5000][285/535][141272] Loss_D: -0.019256 Loss_G: 0.016237 Loss_D_real: -0.024025 Loss_D_fake -0.004769
[1369/5000][290/535][141273] Loss_D: -0.020766 Loss_G: 0.011437 Loss_D_real: -0.023997 Loss_D_fake -0.003230
[1369/5000][295/535][141274] Loss_D: -0.019686 Loss_G: -0.002561 Loss_D_real: -0.003362 Loss_D_fake 0.016324
[1369/5000][300/535][141275] Loss_D: -0.018950 Loss_G: 0.012814 Loss_D_real: -0.027760 Loss_D_fake -0.008810
[1369/5000][305/535][141276] Loss_D: -0.019630 Loss_G: 0.019090 Loss_D_real: -0.034670 Loss_D_fake -0.015040
[1369/5000][310/535][141277] Loss_D: -0.020262 Loss_G: 0.003329 Loss_D_real: -0.022455 Loss_D_fake -0.002193
[1369/5000][315/535][141278] Loss_D: -0.020451 Loss_G: -0.003105 Loss_D_real: -0.014221 Loss_D_fake 0.006229
[1369/5000][320/535][141279] Loss_D: -0.019415 Loss_G: -0.000915 Loss_D_real: -0.015580 Loss_D_fake 0.003835
[1369/5000][325/535][141280] Loss_D: -0.019676 Loss_G: -0.000103 Loss_D_real: -0.019959 Loss_D_fake -0.000282
[1369/5000][330/535][141281] Loss_D: -0.020290 Loss_G: 0.002770 Loss_D_real: -0.011066 Loss_D_fake 0.009224
[1369/5000][335/535][141282] Loss_D: -0.020622 Loss_G: 0.016669 Loss_D_real: -0.011812 Loss_D_fake 0.008810
[1369/5000][340/535][141283] Loss_D: -0.019333 Loss_G: 0.012070 Loss_D_real: -0.020660 Loss_D_fake -0.001327
[1369/5000][345/535][141284] Loss_D: -0.019183 Loss_G: 0.011272 Loss_D_real: -0.016100 Loss_D_fake 0.003082
[1369/5000][350/535][141285] Loss_D: -0.019758 Loss_G: 0.001991 Loss_D_real: -0.016402 Loss_D_fake 0.003356
[1369/5000][355/535][141286] Loss_D: -0.018660 Loss_G: -0.022031 Loss_D_real: 0.002764 Loss_D_fake 0.021423
[1369/5000][360/535][141287] Loss_D: -0.019671 Loss_G: 0.017019 Loss_D_real: -0.037364 Loss_D_fake -0.017692
[1369/5000][365/535][141288] Loss_D: -0.019972 Loss_G: 0.032769 Loss_D_real: -0.026844 Loss_D_fake -0.006872
[1369/5000][370/535][141289] Loss_D: -0.020736 Loss_G: 0.003908 Loss_D_real: -0.016548 Loss_D_fake 0.004188
[1369/5000][375/535][141290] Loss_D: -0.020202 Loss_G: 0.004931 Loss_D_real: -0.021818 Loss_D_fake -0.001617
[1369/5000][380/535][141291] Loss_D: -0.019978 Loss_G: 0.024773 Loss_D_real: -0.023969 Loss_D_fake -0.003991
[1369/5000][385/535][141292] Loss_D: -0.018793 Loss_G: 0.007568 Loss_D_real: -0.006877 Loss_D_fake 0.011916
[1369/5000][390/535][141293] Loss_D: -0.018741 Loss_G: 0.019985 Loss_D_real: -0.021466 Loss_D_fake -0.002725
[1369/5000][395/535][141294] Loss_D: -0.019087 Loss_G: 0.005782 Loss_D_real: -0.013994 Loss_D_fake 0.005093
[1369/5000][400/535][141295] Loss_D: -0.018940 Loss_G: 0.013219 Loss_D_real: -0.015724 Loss_D_fake 0.003216
[1369/5000][405/535][141296] Loss_D: -0.020417 Loss_G: -0.007324 Loss_D_real: -0.000195 Loss_D_fake 0.020222
[1369/5000][410/535][141297] Loss_D: -0.020119 Loss_G: 0.025285 Loss_D_real: -0.022354 Loss_D_fake -0.002235
[1369/5000][415/535][141298] Loss_D: -0.018891 Loss_G: 0.004143 Loss_D_real: -0.004641 Loss_D_fake 0.014251
[1369/5000][420/535][141299] Loss_D: -0.020746 Loss_G: -0.013932 Loss_D_real: -0.017265 Loss_D_fake 0.003481
[1369/5000][425/535][141300] Loss_D: -0.020750 Loss_G: 0.016370 Loss_D_real: -0.015976 Loss_D_fake 0.004775
[1369/5000][430/535][141301] Loss_D: -0.020704 Loss_G: 0.008830 Loss_D_real: -0.022977 Loss_D_fake -0.002272
[1369/5000][435/535][141302] Loss_D: -0.019496 Loss_G: 0.020730 Loss_D_real: -0.025240 Loss_D_fake -0.005744
[1369/5000][440/535][141303] Loss_D: -0.020009 Loss_G: 0.007986 Loss_D_real: -0.018326 Loss_D_fake 0.001682
[1369/5000][445/535][141304] Loss_D: -0.021699 Loss_G: 0.017232 Loss_D_real: -0.025499 Loss_D_fake -0.003799
[1369/5000][450/535][141305] Loss_D: -0.020333 Loss_G: 0.012365 Loss_D_real: -0.021278 Loss_D_fake -0.000945
[1369/5000][455/535][141306] Loss_D: -0.018528 Loss_G: 0.002995 Loss_D_real: -0.013960 Loss_D_fake 0.004568
[1369/5000][460/535][141307] Loss_D: -0.018977 Loss_G: -0.011488 Loss_D_real: -0.009905 Loss_D_fake 0.009072
[1369/5000][465/535][141308] Loss_D: -0.020218 Loss_G: -0.000535 Loss_D_real: -0.016083 Loss_D_fake 0.004135
[1369/5000][470/535][141309] Loss_D: -0.019037 Loss_G: -0.015792 Loss_D_real: 0.005998 Loss_D_fake 0.025035
[1369/5000][475/535][141310] Loss_D: -0.019974 Loss_G: -0.003343 Loss_D_real: -0.013964 Loss_D_fake 0.006010
[1369/5000][480/535][141311] Loss_D: -0.020000 Loss_G: -0.001886 Loss_D_real: -0.005867 Loss_D_fake 0.014133
[1369/5000][485/535][141312] Loss_D: -0.020036 Loss_G: 0.014043 Loss_D_real: -0.022030 Loss_D_fake -0.001994
[1369/5000][490/535][141313] Loss_D: -0.019956 Loss_G: 0.005696 Loss_D_real: -0.033629 Loss_D_fake -0.013673
[1369/5000][495/535][141314] Loss_D: -0.020350 Loss_G: -0.000124 Loss_D_real: -0.006956 Loss_D_fake 0.013394
[1369/5000][500/535][141315] Loss_D: -0.018989 Loss_G: 0.012423 Loss_D_real: -0.017331 Loss_D_fake 0.001658
[1369/5000][505/535][141316] Loss_D: -0.019507 Loss_G: 0.000774 Loss_D_real: -0.020419 Loss_D_fake -0.000913
[1369/5000][510/535][141317] Loss_D: -0.018301 Loss_G: 0.003236 Loss_D_real: -0.013832 Loss_D_fake 0.004468
[1369/5000][515/535][141318] Loss_D: -0.020738 Loss_G: 0.006463 Loss_D_real: -0.021198 Loss_D_fake -0.000460
[1369/5000][520/535][141319] Loss_D: -0.020097 Loss_G: -0.002651 Loss_D_real: -0.010819 Loss_D_fake 0.009277
[1369/5000][525/535][141320] Loss_D: -0.020494 Loss_G: 0.016331 Loss_D_real: -0.024499 Loss_D_fake -0.004006
[1369/5000][530/535][141321] Loss_D: -0.019520 Loss_G: -0.012678 Loss_D_real: -0.002359 Loss_D_fake 0.017161
[1369/5000][535/535][141322] Loss_D: -0.022731 Loss_G: 0.016097 Loss_D_real: -0.023540 Loss_D_fake -0.000809
[1370/5000][5/535][141323] Loss_D: -0.021132 Loss_G: 0.018078 Loss_D_real: -0.022163 Loss_D_fake -0.001031
[1370/5000][10/535][141324] Loss_D: -0.019516 Loss_G: -0.009802 Loss_D_real: 0.000714 Loss_D_fake 0.020230
[1370/5000][15/535][141325] Loss_D: -0.019124 Loss_G: -0.008900 Loss_D_real: -0.001336 Loss_D_fake 0.017788
[1370/5000][20/535][141326] Loss_D: -0.019714 Loss_G: -0.000433 Loss_D_real: -0.016060 Loss_D_fake 0.003653
[1370/5000][25/535][141327] Loss_D: -0.018372 Loss_G: -0.010187 Loss_D_real: -0.020342 Loss_D_fake -0.001970
[1370/5000][30/535][141328] Loss_D: -0.018871 Loss_G: 0.028194 Loss_D_real: -0.027947 Loss_D_fake -0.009076
[1370/5000][35/535][141329] Loss_D: -0.019047 Loss_G: 0.018324 Loss_D_real: -0.022076 Loss_D_fake -0.003028
[1370/5000][40/535][141330] Loss_D: -0.020695 Loss_G: 0.011419 Loss_D_real: -0.011622 Loss_D_fake 0.009073
[1370/5000][45/535][141331] Loss_D: -0.019130 Loss_G: 0.011541 Loss_D_real: -0.023417 Loss_D_fake -0.004287
[1370/5000][50/535][141332] Loss_D: -0.020115 Loss_G: 0.005125 Loss_D_real: -0.017698 Loss_D_fake 0.002417
[1370/5000][55/535][141333] Loss_D: -0.020655 Loss_G: 0.005426 Loss_D_real: -0.019039 Loss_D_fake 0.001615
[1370/5000][60/535][141334] Loss_D: -0.022340 Loss_G: 0.000720 Loss_D_real: -0.029687 Loss_D_fake -0.007348
[1370/5000][65/535][141335] Loss_D: -0.019464 Loss_G: -0.016250 Loss_D_real: -0.012724 Loss_D_fake 0.006740
[1370/5000][70/535][141336] Loss_D: -0.019184 Loss_G: 0.011585 Loss_D_real: -0.025458 Loss_D_fake -0.006275
[1370/5000][75/535][141337] Loss_D: -0.019161 Loss_G: 0.029275 Loss_D_real: -0.025763 Loss_D_fake -0.006602
[1370/5000][80/535][141338] Loss_D: -0.019132 Loss_G: -0.010042 Loss_D_real: 0.000270 Loss_D_fake 0.019402
[1370/5000][85/535][141339] Loss_D: -0.019939 Loss_G: 0.010031 Loss_D_real: -0.032918 Loss_D_fake -0.012979
[1370/5000][90/535][141340] Loss_D: -0.019763 Loss_G: 0.024084 Loss_D_real: -0.020697 Loss_D_fake -0.000934
[1370/5000][95/535][141341] Loss_D: -0.019278 Loss_G: 0.017617 Loss_D_real: -0.020293 Loss_D_fake -0.001015
[1370/5000][100/535][141342] Loss_D: -0.019996 Loss_G: 0.010452 Loss_D_real: -0.019690 Loss_D_fake 0.000306
[1370/5000][105/535][141343] Loss_D: -0.021218 Loss_G: 0.015866 Loss_D_real: -0.008038 Loss_D_fake 0.013180
[1370/5000][110/535][141344] Loss_D: -0.020659 Loss_G: 0.005743 Loss_D_real: -0.023878 Loss_D_fake -0.003219
[1370/5000][115/535][141345] Loss_D: -0.019592 Loss_G: -0.005249 Loss_D_real: -0.015627 Loss_D_fake 0.003964
[1370/5000][120/535][141346] Loss_D: -0.019003 Loss_G: 0.015189 Loss_D_real: -0.027226 Loss_D_fake -0.008223
[1370/5000][125/535][141347] Loss_D: -0.019788 Loss_G: 0.018549 Loss_D_real: -0.020432 Loss_D_fake -0.000644
[1370/5000][130/535][141348] Loss_D: -0.020402 Loss_G: 0.019330 Loss_D_real: -0.025773 Loss_D_fake -0.005370
[1370/5000][135/535][141349] Loss_D: -0.020569 Loss_G: 0.000998 Loss_D_real: -0.005918 Loss_D_fake 0.014651
[1370/5000][140/535][141350] Loss_D: -0.021531 Loss_G: -0.014292 Loss_D_real: -0.019629 Loss_D_fake 0.001901
[1370/5000][145/535][141351] Loss_D: -0.018873 Loss_G: 0.005177 Loss_D_real: -0.028378 Loss_D_fake -0.009505
[1370/5000][150/535][141352] Loss_D: -0.020012 Loss_G: 0.019400 Loss_D_real: -0.023531 Loss_D_fake -0.003519
[1370/5000][155/535][141353] Loss_D: -0.020272 Loss_G: -0.008118 Loss_D_real: -0.006239 Loss_D_fake 0.014033
[1370/5000][160/535][141354] Loss_D: -0.019267 Loss_G: 0.021192 Loss_D_real: -0.033278 Loss_D_fake -0.014011
[1370/5000][165/535][141355] Loss_D: -0.019332 Loss_G: -0.005925 Loss_D_real: -0.006553 Loss_D_fake 0.012779
[1370/5000][170/535][141356] Loss_D: -0.018659 Loss_G: 0.003031 Loss_D_real: -0.006746 Loss_D_fake 0.011912
[1370/5000][175/535][141357] Loss_D: -0.019770 Loss_G: 0.009085 Loss_D_real: -0.015375 Loss_D_fake 0.004396
[1370/5000][180/535][141358] Loss_D: -0.020783 Loss_G: -0.002703 Loss_D_real: -0.020565 Loss_D_fake 0.000219
[1370/5000][185/535][141359] Loss_D: -0.020234 Loss_G: 0.025340 Loss_D_real: -0.030770 Loss_D_fake -0.010536
[1370/5000][190/535][141360] Loss_D: -0.020233 Loss_G: -0.006094 Loss_D_real: -0.004220 Loss_D_fake 0.016013
[1370/5000][195/535][141361] Loss_D: -0.019460 Loss_G: 0.018467 Loss_D_real: -0.017041 Loss_D_fake 0.002419
[1370/5000][200/535][141362] Loss_D: -0.021085 Loss_G: 0.006667 Loss_D_real: -0.023374 Loss_D_fake -0.002289
[1370/5000][205/535][141363] Loss_D: -0.019477 Loss_G: -0.000270 Loss_D_real: -0.006504 Loss_D_fake 0.012974
[1370/5000][210/535][141364] Loss_D: -0.020033 Loss_G: 0.002747 Loss_D_real: -0.011420 Loss_D_fake 0.008613
[1370/5000][215/535][141365] Loss_D: -0.020289 Loss_G: 0.002816 Loss_D_real: -0.016226 Loss_D_fake 0.004063
[1370/5000][220/535][141366] Loss_D: -0.021461 Loss_G: 0.010403 Loss_D_real: -0.030287 Loss_D_fake -0.008826
[1370/5000][225/535][141367] Loss_D: -0.019584 Loss_G: -0.003877 Loss_D_real: 0.001747 Loss_D_fake 0.021331
[1370/5000][230/535][141368] Loss_D: -0.019155 Loss_G: -0.008337 Loss_D_real: -0.012013 Loss_D_fake 0.007143
[1370/5000][235/535][141369] Loss_D: -0.020444 Loss_G: 0.018768 Loss_D_real: -0.016867 Loss_D_fake 0.003576
[1370/5000][240/535][141370] Loss_D: -0.020255 Loss_G: -0.000017 Loss_D_real: -0.013962 Loss_D_fake 0.006294
[1370/5000][245/535][141371] Loss_D: -0.019833 Loss_G: -0.000988 Loss_D_real: -0.010058 Loss_D_fake 0.009775
[1370/5000][250/535][141372] Loss_D: -0.020203 Loss_G: 0.009087 Loss_D_real: -0.008476 Loss_D_fake 0.011727
[1370/5000][255/535][141373] Loss_D: -0.019557 Loss_G: 0.011273 Loss_D_real: -0.025005 Loss_D_fake -0.005448
[1370/5000][260/535][141374] Loss_D: -0.021089 Loss_G: 0.015134 Loss_D_real: -0.006498 Loss_D_fake 0.014592
[1370/5000][265/535][141375] Loss_D: -0.020619 Loss_G: -0.000411 Loss_D_real: -0.016842 Loss_D_fake 0.003777
[1370/5000][270/535][141376] Loss_D: -0.019709 Loss_G: 0.016575 Loss_D_real: -0.011880 Loss_D_fake 0.007829
[1370/5000][275/535][141377] Loss_D: -0.018283 Loss_G: 0.014807 Loss_D_real: -0.032705 Loss_D_fake -0.014422
[1370/5000][280/535][141378] Loss_D: -0.019268 Loss_G: 0.022560 Loss_D_real: -0.027011 Loss_D_fake -0.007743
[1370/5000][285/535][141379] Loss_D: -0.019939 Loss_G: 0.015902 Loss_D_real: -0.029968 Loss_D_fake -0.010029
[1370/5000][290/535][141380] Loss_D: -0.020127 Loss_G: 0.018977 Loss_D_real: -0.016967 Loss_D_fake 0.003160
[1370/5000][295/535][141381] Loss_D: -0.020767 Loss_G: -0.016048 Loss_D_real: 0.002161 Loss_D_fake 0.022928
[1370/5000][300/535][141382] Loss_D: -0.020598 Loss_G: -0.006747 Loss_D_real: -0.004300 Loss_D_fake 0.016298
[1370/5000][305/535][141383] Loss_D: -0.020616 Loss_G: 0.023554 Loss_D_real: -0.022589 Loss_D_fake -0.001973
[1370/5000][310/535][141384] Loss_D: -0.020457 Loss_G: 0.003894 Loss_D_real: -0.009524 Loss_D_fake 0.010933
[1370/5000][315/535][141385] Loss_D: -0.019041 Loss_G: -0.012440 Loss_D_real: 0.001867 Loss_D_fake 0.020908
[1370/5000][320/535][141386] Loss_D: -0.018682 Loss_G: 0.002489 Loss_D_real: -0.014002 Loss_D_fake 0.004680
[1370/5000][325/535][141387] Loss_D: -0.019664 Loss_G: 0.009330 Loss_D_real: -0.019260 Loss_D_fake 0.000405
[1370/5000][330/535][141388] Loss_D: -0.018361 Loss_G: -0.023057 Loss_D_real: 0.012925 Loss_D_fake 0.031287
[1370/5000][335/535][141389] Loss_D: -0.018616 Loss_G: 0.021144 Loss_D_real: -0.029573 Loss_D_fake -0.010957
[1370/5000][340/535][141390] Loss_D: -0.018240 Loss_G: 0.007205 Loss_D_real: -0.019565 Loss_D_fake -0.001325
[1370/5000][345/535][141391] Loss_D: -0.019043 Loss_G: 0.007220 Loss_D_real: -0.020131 Loss_D_fake -0.001088
[1370/5000][350/535][141392] Loss_D: -0.019029 Loss_G: 0.026503 Loss_D_real: -0.027123 Loss_D_fake -0.008095
[1370/5000][355/535][141393] Loss_D: -0.019696 Loss_G: 0.015276 Loss_D_real: -0.027862 Loss_D_fake -0.008167
[1370/5000][360/535][141394] Loss_D: -0.019514 Loss_G: 0.025727 Loss_D_real: -0.023135 Loss_D_fake -0.003621
[1370/5000][365/535][141395] Loss_D: -0.020749 Loss_G: 0.006922 Loss_D_real: -0.009622 Loss_D_fake 0.011127
[1370/5000][370/535][141396] Loss_D: -0.021054 Loss_G: 0.012778 Loss_D_real: -0.012479 Loss_D_fake 0.008575
[1370/5000][375/535][141397] Loss_D: -0.019535 Loss_G: -0.017575 Loss_D_real: -0.002134 Loss_D_fake 0.017400
[1370/5000][380/535][141398] Loss_D: -0.019341 Loss_G: 0.014259 Loss_D_real: -0.022390 Loss_D_fake -0.003050
[1370/5000][385/535][141399] Loss_D: -0.019503 Loss_G: -0.016300 Loss_D_real: -0.004600 Loss_D_fake 0.014903
[1370/5000][390/535][141400] Loss_D: -0.020209 Loss_G: -0.000072 Loss_D_real: -0.010445 Loss_D_fake 0.009764
[1370/5000][395/535][141401] Loss_D: -0.019896 Loss_G: 0.014446 Loss_D_real: -0.025994 Loss_D_fake -0.006097
[1370/5000][400/535][141402] Loss_D: -0.020263 Loss_G: 0.001291 Loss_D_real: -0.021166 Loss_D_fake -0.000902
[1370/5000][405/535][141403] Loss_D: -0.019664 Loss_G: -0.007601 Loss_D_real: 0.000658 Loss_D_fake 0.020322
[1370/5000][410/535][141404] Loss_D: -0.019762 Loss_G: 0.017315 Loss_D_real: -0.020827 Loss_D_fake -0.001065
[1370/5000][415/535][141405] Loss_D: -0.020729 Loss_G: 0.014620 Loss_D_real: -0.022858 Loss_D_fake -0.002129
[1370/5000][420/535][141406] Loss_D: -0.019866 Loss_G: 0.004760 Loss_D_real: -0.011542 Loss_D_fake 0.008324
[1370/5000][425/535][141407] Loss_D: -0.019539 Loss_G: 0.003690 Loss_D_real: -0.016279 Loss_D_fake 0.003259
[1370/5000][430/535][141408] Loss_D: -0.019214 Loss_G: 0.000213 Loss_D_real: -0.021561 Loss_D_fake -0.002347
[1370/5000][435/535][141409] Loss_D: -0.019304 Loss_G: 0.015438 Loss_D_real: -0.019518 Loss_D_fake -0.000214
[1370/5000][440/535][141410] Loss_D: -0.020751 Loss_G: 0.021152 Loss_D_real: -0.021199 Loss_D_fake -0.000449
[1370/5000][445/535][141411] Loss_D: -0.019646 Loss_G: -0.020344 Loss_D_real: -0.007281 Loss_D_fake 0.012365
[1370/5000][450/535][141412] Loss_D: -0.019117 Loss_G: 0.011961 Loss_D_real: -0.025978 Loss_D_fake -0.006861
[1370/5000][455/535][141413] Loss_D: -0.020913 Loss_G: 0.014013 Loss_D_real: -0.023362 Loss_D_fake -0.002449
[1370/5000][460/535][141414] Loss_D: -0.021127 Loss_G: 0.010419 Loss_D_real: -0.023834 Loss_D_fake -0.002707
[1370/5000][465/535][141415] Loss_D: -0.018560 Loss_G: -0.004608 Loss_D_real: -0.000296 Loss_D_fake 0.018264
[1370/5000][470/535][141416] Loss_D: -0.018470 Loss_G: 0.026448 Loss_D_real: -0.023300 Loss_D_fake -0.004831
[1370/5000][475/535][141417] Loss_D: -0.018959 Loss_G: 0.008071 Loss_D_real: -0.027565 Loss_D_fake -0.008605
[1370/5000][480/535][141418] Loss_D: -0.020019 Loss_G: 0.020654 Loss_D_real: -0.029688 Loss_D_fake -0.009668
[1370/5000][485/535][141419] Loss_D: -0.019603 Loss_G: 0.007159 Loss_D_real: -0.006739 Loss_D_fake 0.012865
[1370/5000][490/535][141420] Loss_D: -0.020755 Loss_G: 0.004483 Loss_D_real: -0.020008 Loss_D_fake 0.000746
[1370/5000][495/535][141421] Loss_D: -0.019150 Loss_G: -0.005127 Loss_D_real: -0.001483 Loss_D_fake 0.017667
[1370/5000][500/535][141422] Loss_D: -0.019445 Loss_G: 0.021185 Loss_D_real: -0.022952 Loss_D_fake -0.003508
[1370/5000][505/535][141423] Loss_D: -0.021056 Loss_G: 0.006355 Loss_D_real: -0.022787 Loss_D_fake -0.001731
[1370/5000][510/535][141424] Loss_D: -0.021440 Loss_G: 0.005239 Loss_D_real: -0.019378 Loss_D_fake 0.002062
[1370/5000][515/535][141425] Loss_D: -0.019675 Loss_G: 0.028130 Loss_D_real: -0.033631 Loss_D_fake -0.013956
[1370/5000][520/535][141426] Loss_D: -0.019831 Loss_G: 0.007633 Loss_D_real: -0.008693 Loss_D_fake 0.011139
[1370/5000][525/535][141427] Loss_D: -0.020180 Loss_G: 0.016438 Loss_D_real: -0.025220 Loss_D_fake -0.005040
[1370/5000][530/535][141428] Loss_D: -0.021249 Loss_G: 0.000887 Loss_D_real: -0.006484 Loss_D_fake 0.014764
[1370/5000][535/535][141429] Loss_D: -0.019862 Loss_G: 0.002882 Loss_D_real: -0.020806 Loss_D_fake -0.000944
[1371/5000][5/535][141430] Loss_D: -0.020802 Loss_G: 0.011119 Loss_D_real: -0.016654 Loss_D_fake 0.004148
[1371/5000][10/535][141431] Loss_D: -0.020698 Loss_G: 0.008788 Loss_D_real: -0.012226 Loss_D_fake 0.008471
[1371/5000][15/535][141432] Loss_D: -0.020026 Loss_G: 0.018859 Loss_D_real: -0.026085 Loss_D_fake -0.006059
[1371/5000][20/535][141433] Loss_D: -0.019505 Loss_G: 0.004065 Loss_D_real: -0.036334 Loss_D_fake -0.016829
[1371/5000][25/535][141434] Loss_D: -0.019824 Loss_G: -0.005453 Loss_D_real: -0.007510 Loss_D_fake 0.012313
[1371/5000][30/535][141435] Loss_D: -0.019744 Loss_G: 0.005437 Loss_D_real: -0.018517 Loss_D_fake 0.001227
[1371/5000][35/535][141436] Loss_D: -0.020292 Loss_G: 0.009958 Loss_D_real: -0.015484 Loss_D_fake 0.004808
[1371/5000][40/535][141437] Loss_D: -0.020469 Loss_G: 0.022105 Loss_D_real: -0.026755 Loss_D_fake -0.006286
[1371/5000][45/535][141438] Loss_D: -0.019431 Loss_G: 0.012252 Loss_D_real: -0.017617 Loss_D_fake 0.001813
[1371/5000][50/535][141439] Loss_D: -0.018651 Loss_G: 0.010387 Loss_D_real: -0.015185 Loss_D_fake 0.003465
[1371/5000][55/535][141440] Loss_D: -0.018705 Loss_G: 0.016880 Loss_D_real: -0.028224 Loss_D_fake -0.009518
[1371/5000][60/535][141441] Loss_D: -0.019542 Loss_G: 0.005566 Loss_D_real: -0.010626 Loss_D_fake 0.008916
[1371/5000][65/535][141442] Loss_D: -0.020514 Loss_G: 0.012948 Loss_D_real: -0.010519 Loss_D_fake 0.009995
[1371/5000][70/535][141443] Loss_D: -0.020614 Loss_G: 0.000591 Loss_D_real: -0.020996 Loss_D_fake -0.000382
[1371/5000][75/535][141444] Loss_D: -0.020057 Loss_G: 0.018678 Loss_D_real: -0.029537 Loss_D_fake -0.009480
[1371/5000][80/535][141445] Loss_D: -0.018594 Loss_G: 0.024547 Loss_D_real: -0.015894 Loss_D_fake 0.002700
[1371/5000][85/535][141446] Loss_D: -0.019710 Loss_G: 0.006467 Loss_D_real: -0.027133 Loss_D_fake -0.007424
[1371/5000][90/535][141447] Loss_D: -0.018228 Loss_G: 0.018561 Loss_D_real: -0.031129 Loss_D_fake -0.012901
[1371/5000][95/535][141448] Loss_D: -0.019350 Loss_G: 0.025627 Loss_D_real: -0.020570 Loss_D_fake -0.001219
[1371/5000][100/535][141449] Loss_D: -0.019912 Loss_G: 0.007816 Loss_D_real: -0.020536 Loss_D_fake -0.000624
[1371/5000][105/535][141450] Loss_D: -0.019951 Loss_G: 0.009441 Loss_D_real: -0.021799 Loss_D_fake -0.001848
[1371/5000][110/535][141451] Loss_D: -0.017685 Loss_G: 0.025503 Loss_D_real: -0.019400 Loss_D_fake -0.001715
[1371/5000][115/535][141452] Loss_D: -0.019749 Loss_G: -0.007199 Loss_D_real: -0.022212 Loss_D_fake -0.002463
[1371/5000][120/535][141453] Loss_D: -0.019878 Loss_G: 0.002621 Loss_D_real: -0.009100 Loss_D_fake 0.010778
[1371/5000][125/535][141454] Loss_D: -0.018467 Loss_G: -0.011762 Loss_D_real: -0.004539 Loss_D_fake 0.013927
[1371/5000][130/535][141455] Loss_D: -0.018588 Loss_G: -0.000459 Loss_D_real: -0.005923 Loss_D_fake 0.012665
[1371/5000][135/535][141456] Loss_D: -0.018561 Loss_G: -0.008132 Loss_D_real: -0.011677 Loss_D_fake 0.006883
[1371/5000][140/535][141457] Loss_D: -0.020090 Loss_G: 0.016727 Loss_D_real: -0.025441 Loss_D_fake -0.005351
[1371/5000][145/535][141458] Loss_D: -0.018933 Loss_G: 0.013777 Loss_D_real: -0.022478 Loss_D_fake -0.003545
[1371/5000][150/535][141459] Loss_D: -0.019054 Loss_G: 0.010513 Loss_D_real: -0.030219 Loss_D_fake -0.011164
[1371/5000][155/535][141460] Loss_D: -0.019358 Loss_G: -0.026380 Loss_D_real: -0.011291 Loss_D_fake 0.008067
[1371/5000][160/535][141461] Loss_D: -0.019293 Loss_G: 0.010885 Loss_D_real: -0.021570 Loss_D_fake -0.002278
[1371/5000][165/535][141462] Loss_D: -0.020634 Loss_G: 0.020284 Loss_D_real: -0.021426 Loss_D_fake -0.000792
[1371/5000][170/535][141463] Loss_D: -0.016763 Loss_G: -0.021640 Loss_D_real: 0.007529 Loss_D_fake 0.024292
[1371/5000][175/535][141464] Loss_D: -0.020102 Loss_G: 0.016867 Loss_D_real: -0.026755 Loss_D_fake -0.006654
[1371/5000][180/535][141465] Loss_D: -0.022290 Loss_G: 0.005585 Loss_D_real: -0.020188 Loss_D_fake 0.002102
[1371/5000][185/535][141466] Loss_D: -0.021816 Loss_G: 0.021115 Loss_D_real: -0.016154 Loss_D_fake 0.005662
[1371/5000][190/535][141467] Loss_D: -0.020726 Loss_G: -0.004882 Loss_D_real: 0.000034 Loss_D_fake 0.020760
[1371/5000][195/535][141468] Loss_D: -0.020076 Loss_G: 0.018187 Loss_D_real: -0.035907 Loss_D_fake -0.015831
[1371/5000][200/535][141469] Loss_D: -0.019662 Loss_G: 0.006016 Loss_D_real: -0.029888 Loss_D_fake -0.010226
[1371/5000][205/535][141470] Loss_D: -0.020974 Loss_G: 0.011988 Loss_D_real: -0.021503 Loss_D_fake -0.000528
[1371/5000][210/535][141471] Loss_D: -0.020755 Loss_G: 0.002367 Loss_D_real: -0.017730 Loss_D_fake 0.003025
[1371/5000][215/535][141472] Loss_D: -0.019372 Loss_G: -0.001829 Loss_D_real: -0.012096 Loss_D_fake 0.007276
[1371/5000][220/535][141473] Loss_D: -0.019654 Loss_G: -0.007530 Loss_D_real: -0.008323 Loss_D_fake 0.011331
[1371/5000][225/535][141474] Loss_D: -0.020918 Loss_G: 0.014973 Loss_D_real: -0.014861 Loss_D_fake 0.006057
[1371/5000][230/535][141475] Loss_D: -0.019347 Loss_G: -0.010708 Loss_D_real: -0.006366 Loss_D_fake 0.012981
[1371/5000][235/535][141476] Loss_D: -0.019662 Loss_G: 0.010651 Loss_D_real: -0.015617 Loss_D_fake 0.004045
[1371/5000][240/535][141477] Loss_D: -0.020480 Loss_G: 0.002178 Loss_D_real: -0.017282 Loss_D_fake 0.003198
[1371/5000][245/535][141478] Loss_D: -0.018352 Loss_G: -0.006893 Loss_D_real: 0.006061 Loss_D_fake 0.024413
[1371/5000][250/535][141479] Loss_D: -0.017836 Loss_G: -0.001529 Loss_D_real: -0.003459 Loss_D_fake 0.014377
[1371/5000][255/535][141480] Loss_D: -0.019001 Loss_G: 0.000489 Loss_D_real: -0.019693 Loss_D_fake -0.000692
[1371/5000][260/535][141481] Loss_D: -0.019996 Loss_G: 0.002509 Loss_D_real: -0.007019 Loss_D_fake 0.012976
[1371/5000][265/535][141482] Loss_D: -0.020075 Loss_G: 0.010964 Loss_D_real: -0.024551 Loss_D_fake -0.004476
[1371/5000][270/535][141483] Loss_D: -0.020003 Loss_G: 0.015222 Loss_D_real: -0.031172 Loss_D_fake -0.011169
[1371/5000][275/535][141484] Loss_D: -0.019544 Loss_G: 0.008188 Loss_D_real: -0.009726 Loss_D_fake 0.009819
[1371/5000][280/535][141485] Loss_D: -0.019671 Loss_G: 0.003397 Loss_D_real: -0.021907 Loss_D_fake -0.002236
[1371/5000][285/535][141486] Loss_D: -0.018409 Loss_G: 0.020657 Loss_D_real: -0.025749 Loss_D_fake -0.007340
[1371/5000][290/535][141487] Loss_D: -0.020121 Loss_G: 0.014992 Loss_D_real: -0.025290 Loss_D_fake -0.005169
[1371/5000][295/535][141488] Loss_D: -0.020774 Loss_G: 0.003642 Loss_D_real: -0.021282 Loss_D_fake -0.000508
[1371/5000][300/535][141489] Loss_D: -0.020380 Loss_G: -0.017581 Loss_D_real: -0.005162 Loss_D_fake 0.015219
[1371/5000][305/535][141490] Loss_D: -0.019276 Loss_G: 0.020051 Loss_D_real: -0.025043 Loss_D_fake -0.005767
[1371/5000][310/535][141491] Loss_D: -0.019002 Loss_G: 0.020026 Loss_D_real: -0.033564 Loss_D_fake -0.014562
[1371/5000][315/535][141492] Loss_D: -0.020614 Loss_G: -0.003088 Loss_D_real: -0.017810 Loss_D_fake 0.002803
[1371/5000][320/535][141493] Loss_D: -0.019010 Loss_G: 0.011760 Loss_D_real: -0.027290 Loss_D_fake -0.008280
[1371/5000][325/535][141494] Loss_D: -0.020681 Loss_G: 0.005158 Loss_D_real: -0.011985 Loss_D_fake 0.008695
[1371/5000][330/535][141495] Loss_D: -0.020338 Loss_G: 0.000254 Loss_D_real: -0.022163 Loss_D_fake -0.001825
[1371/5000][335/535][141496] Loss_D: -0.019322 Loss_G: -0.008476 Loss_D_real: -0.013121 Loss_D_fake 0.006201
[1371/5000][340/535][141497] Loss_D: -0.019962 Loss_G: -0.001730 Loss_D_real: -0.005987 Loss_D_fake 0.013975
[1371/5000][345/535][141498] Loss_D: -0.018763 Loss_G: -0.013023 Loss_D_real: -0.021640 Loss_D_fake -0.002877
[1371/5000][350/535][141499] Loss_D: -0.018567 Loss_G: -0.008369 Loss_D_real: -0.003196 Loss_D_fake 0.015371
[1371/5000][355/535][141500] Loss_D: -0.019164 Loss_G: 0.000618 Loss_D_real: -0.004963 Loss_D_fake 0.014201
[1371/5000][455/535][141501] Loss_D: -0.023862 Loss_G: 0.010454 Loss_D_real: -0.019247 Loss_D_fake 0.004614
[1371/5000][460/535][141502] Loss_D: -0.019625 Loss_G: 0.018284 Loss_D_real: -0.012144 Loss_D_fake 0.007482
[1371/5000][465/535][141503] Loss_D: -0.019721 Loss_G: 0.000779 Loss_D_real: -0.015430 Loss_D_fake 0.004291
[1371/5000][470/535][141504] Loss_D: -0.019729 Loss_G: 0.019158 Loss_D_real: -0.019496 Loss_D_fake 0.000233
[1371/5000][475/535][141505] Loss_D: -0.019402 Loss_G: 0.003964 Loss_D_real: -0.018470 Loss_D_fake 0.000932
[1371/5000][480/535][141506] Loss_D: -0.017041 Loss_G: 0.016265 Loss_D_real: -0.032811 Loss_D_fake -0.015770
[1371/5000][485/535][141507] Loss_D: -0.019376 Loss_G: 0.006761 Loss_D_real: -0.021212 Loss_D_fake -0.001836
[1371/5000][490/535][141508] Loss_D: -0.019028 Loss_G: 0.010874 Loss_D_real: -0.021855 Loss_D_fake -0.002827
[1371/5000][495/535][141509] Loss_D: -0.017412 Loss_G: -0.019745 Loss_D_real: -0.008051 Loss_D_fake 0.009361
[1371/5000][500/535][141510] Loss_D: -0.018615 Loss_G: 0.012132 Loss_D_real: -0.013096 Loss_D_fake 0.005519
[1371/5000][505/535][141511] Loss_D: -0.019043 Loss_G: 0.006060 Loss_D_real: -0.006991 Loss_D_fake 0.012052
[1371/5000][510/535][141512] Loss_D: -0.020414 Loss_G: -0.007908 Loss_D_real: -0.015705 Loss_D_fake 0.004710
[1371/5000][515/535][141513] Loss_D: -0.017507 Loss_G: 0.023275 Loss_D_real: -0.024779 Loss_D_fake -0.007272
[1371/5000][520/535][141514] Loss_D: -0.019923 Loss_G: -0.010561 Loss_D_real: -0.012242 Loss_D_fake 0.007681
[1371/5000][525/535][141515] Loss_D: -0.019551 Loss_G: 0.006021 Loss_D_real: -0.013363 Loss_D_fake 0.006188
[1371/5000][530/535][141516] Loss_D: -0.018246 Loss_G: -0.004636 Loss_D_real: -0.015604 Loss_D_fake 0.002641
[1371/5000][535/535][141517] Loss_D: -0.018754 Loss_G: 0.022786 Loss_D_real: -0.010816 Loss_D_fake 0.007938
[1372/5000][5/535][141518] Loss_D: -0.020266 Loss_G: 0.010024 Loss_D_real: -0.025743 Loss_D_fake -0.005477
[1372/5000][10/535][141519] Loss_D: -0.018554 Loss_G: 0.007105 Loss_D_real: -0.025400 Loss_D_fake -0.006846
[1372/5000][15/535][141520] Loss_D: -0.019253 Loss_G: 0.010001 Loss_D_real: -0.026324 Loss_D_fake -0.007071
[1372/5000][20/535][141521] Loss_D: -0.017761 Loss_G: 0.027800 Loss_D_real: -0.025413 Loss_D_fake -0.007652
[1372/5000][25/535][141522] Loss_D: -0.019690 Loss_G: 0.005334 Loss_D_real: -0.029870 Loss_D_fake -0.010180
[1372/5000][30/535][141523] Loss_D: -0.020129 Loss_G: 0.009895 Loss_D_real: -0.025768 Loss_D_fake -0.005639
[1372/5000][35/535][141524] Loss_D: -0.019851 Loss_G: 0.010702 Loss_D_real: -0.009902 Loss_D_fake 0.009949
[1372/5000][40/535][141525] Loss_D: -0.020786 Loss_G: 0.012154 Loss_D_real: -0.020280 Loss_D_fake 0.000506
[1372/5000][45/535][141526] Loss_D: -0.019495 Loss_G: 0.007931 Loss_D_real: -0.016405 Loss_D_fake 0.003091
[1372/5000][50/535][141527] Loss_D: -0.019549 Loss_G: -0.011363 Loss_D_real: -0.011222 Loss_D_fake 0.008327
[1372/5000][55/535][141528] Loss_D: -0.020414 Loss_G: 0.007233 Loss_D_real: -0.010631 Loss_D_fake 0.009783
[1372/5000][60/535][141529] Loss_D: -0.020809 Loss_G: 0.011461 Loss_D_real: -0.017054 Loss_D_fake 0.003755
[1372/5000][65/535][141530] Loss_D: -0.020442 Loss_G: 0.002204 Loss_D_real: -0.002547 Loss_D_fake 0.017895
[1372/5000][70/535][141531] Loss_D: -0.020838 Loss_G: 0.002634 Loss_D_real: -0.020424 Loss_D_fake 0.000414
[1372/5000][75/535][141532] Loss_D: -0.019845 Loss_G: 0.010235 Loss_D_real: -0.012841 Loss_D_fake 0.007004
[1372/5000][80/535][141533] Loss_D: -0.020058 Loss_G: 0.004616 Loss_D_real: -0.014496 Loss_D_fake 0.005562
[1372/5000][85/535][141534] Loss_D: -0.019208 Loss_G: 0.000360 Loss_D_real: -0.009993 Loss_D_fake 0.009215
[1372/5000][90/535][141535] Loss_D: -0.019211 Loss_G: 0.003834 Loss_D_real: -0.006646 Loss_D_fake 0.012565
[1372/5000][95/535][141536] Loss_D: -0.019039 Loss_G: -0.016259 Loss_D_real: -0.001070 Loss_D_fake 0.017969
[1372/5000][100/535][141537] Loss_D: -0.017739 Loss_G: 0.019560 Loss_D_real: -0.023792 Loss_D_fake -0.006053
[1372/5000][105/535][141538] Loss_D: -0.019615 Loss_G: 0.020682 Loss_D_real: -0.013324 Loss_D_fake 0.006291
[1372/5000][110/535][141539] Loss_D: -0.019939 Loss_G: -0.007110 Loss_D_real: -0.002794 Loss_D_fake 0.017145
[1372/5000][115/535][141540] Loss_D: -0.020245 Loss_G: 0.008082 Loss_D_real: -0.005936 Loss_D_fake 0.014309
[1372/5000][120/535][141541] Loss_D: -0.020033 Loss_G: 0.017043 Loss_D_real: -0.021188 Loss_D_fake -0.001156
[1372/5000][125/535][141542] Loss_D: -0.021165 Loss_G: -0.003919 Loss_D_real: -0.023977 Loss_D_fake -0.002812
[1372/5000][130/535][141543] Loss_D: -0.018073 Loss_G: -0.001135 Loss_D_real: -0.007371 Loss_D_fake 0.010702
[1372/5000][135/535][141544] Loss_D: -0.020745 Loss_G: 0.024681 Loss_D_real: -0.033395 Loss_D_fake -0.012650
[1372/5000][140/535][141545] Loss_D: -0.020247 Loss_G: 0.010685 Loss_D_real: -0.007553 Loss_D_fake 0.012694
[1372/5000][145/535][141546] Loss_D: -0.020640 Loss_G: -0.000407 Loss_D_real: -0.005952 Loss_D_fake 0.014689
[1372/5000][150/535][141547] Loss_D: -0.019312 Loss_G: 0.011783 Loss_D_real: -0.028344 Loss_D_fake -0.009032
[1372/5000][155/535][141548] Loss_D: -0.018753 Loss_G: 0.024656 Loss_D_real: -0.032420 Loss_D_fake -0.013667
[1372/5000][160/535][141549] Loss_D: -0.020918 Loss_G: -0.002547 Loss_D_real: -0.012838 Loss_D_fake 0.008080
[1372/5000][165/535][141550] Loss_D: -0.020206 Loss_G: 0.012922 Loss_D_real: -0.019286 Loss_D_fake 0.000920
[1372/5000][170/535][141551] Loss_D: -0.019556 Loss_G: 0.012544 Loss_D_real: -0.028489 Loss_D_fake -0.008933
[1372/5000][175/535][141552] Loss_D: -0.019292 Loss_G: 0.003207 Loss_D_real: -0.006123 Loss_D_fake 0.013169
[1372/5000][180/535][141553] Loss_D: -0.020675 Loss_G: 0.000616 Loss_D_real: -0.010996 Loss_D_fake 0.009680
[1372/5000][185/535][141554] Loss_D: -0.019479 Loss_G: 0.003288 Loss_D_real: -0.004637 Loss_D_fake 0.014842
[1372/5000][190/535][141555] Loss_D: -0.019095 Loss_G: 0.007327 Loss_D_real: -0.017106 Loss_D_fake 0.001989
[1372/5000][195/535][141556] Loss_D: -0.017989 Loss_G: -0.005707 Loss_D_real: 0.004165 Loss_D_fake 0.022154
[1372/5000][200/535][141557] Loss_D: -0.019907 Loss_G: -0.003867 Loss_D_real: -0.016232 Loss_D_fake 0.003675
[1372/5000][205/535][141558] Loss_D: -0.019358 Loss_G: 0.017329 Loss_D_real: -0.014754 Loss_D_fake 0.004604
[1372/5000][210/535][141559] Loss_D: -0.019376 Loss_G: 0.000496 Loss_D_real: -0.005615 Loss_D_fake 0.013761
[1372/5000][215/535][141560] Loss_D: -0.020926 Loss_G: -0.002433 Loss_D_real: -0.011347 Loss_D_fake 0.009579
[1372/5000][220/535][141561] Loss_D: -0.021149 Loss_G: 0.002707 Loss_D_real: -0.018767 Loss_D_fake 0.002381
[1372/5000][225/535][141562] Loss_D: -0.020492 Loss_G: -0.011717 Loss_D_real: -0.002361 Loss_D_fake 0.018131
[1372/5000][230/535][141563] Loss_D: -0.020485 Loss_G: 0.015277 Loss_D_real: -0.014111 Loss_D_fake 0.006375
[1372/5000][235/535][141564] Loss_D: -0.019158 Loss_G: -0.003257 Loss_D_real: -0.000883 Loss_D_fake 0.018275
[1372/5000][240/535][141565] Loss_D: -0.019828 Loss_G: 0.010256 Loss_D_real: -0.012559 Loss_D_fake 0.007270
[1372/5000][245/535][141566] Loss_D: -0.020098 Loss_G: -0.003665 Loss_D_real: -0.013838 Loss_D_fake 0.006260
[1372/5000][250/535][141567] Loss_D: -0.019423 Loss_G: -0.008029 Loss_D_real: -0.004052 Loss_D_fake 0.015372
[1372/5000][255/535][141568] Loss_D: -0.019211 Loss_G: -0.006077 Loss_D_real: -0.014436 Loss_D_fake 0.004775
[1372/5000][260/535][141569] Loss_D: -0.019765 Loss_G: 0.007259 Loss_D_real: -0.010425 Loss_D_fake 0.009340
[1372/5000][265/535][141570] Loss_D: -0.019400 Loss_G: 0.015462 Loss_D_real: -0.015408 Loss_D_fake 0.003993
[1372/5000][270/535][141571] Loss_D: -0.019763 Loss_G: 0.002012 Loss_D_real: -0.003216 Loss_D_fake 0.016548
[1372/5000][275/535][141572] Loss_D: -0.020319 Loss_G: 0.020045 Loss_D_real: -0.017962 Loss_D_fake 0.002357
[1372/5000][280/535][141573] Loss_D: -0.020574 Loss_G: -0.002063 Loss_D_real: -0.019050 Loss_D_fake 0.001524
[1372/5000][285/535][141574] Loss_D: -0.020001 Loss_G: -0.010217 Loss_D_real: -0.007794 Loss_D_fake 0.012206
[1372/5000][290/535][141575] Loss_D: -0.019421 Loss_G: 0.005901 Loss_D_real: -0.016683 Loss_D_fake 0.002738
[1372/5000][295/535][141576] Loss_D: -0.018957 Loss_G: -0.005183 Loss_D_real: -0.008524 Loss_D_fake 0.010433
[1372/5000][300/535][141577] Loss_D: -0.019074 Loss_G: 0.016423 Loss_D_real: -0.023157 Loss_D_fake -0.004083
[1372/5000][305/535][141578] Loss_D: -0.019797 Loss_G: -0.006318 Loss_D_real: -0.009320 Loss_D_fake 0.010476
[1372/5000][310/535][141579] Loss_D: -0.019204 Loss_G: 0.014369 Loss_D_real: -0.023497 Loss_D_fake -0.004292
[1372/5000][315/535][141580] Loss_D: -0.019510 Loss_G: 0.014655 Loss_D_real: -0.015689 Loss_D_fake 0.003820
[1372/5000][320/535][141581] Loss_D: -0.019169 Loss_G: -0.000002 Loss_D_real: -0.001754 Loss_D_fake 0.017415
[1372/5000][325/535][141582] Loss_D: -0.019173 Loss_G: 0.018289 Loss_D_real: -0.024297 Loss_D_fake -0.005124
[1372/5000][330/535][141583] Loss_D: -0.020618 Loss_G: -0.000572 Loss_D_real: -0.006957 Loss_D_fake 0.013661
[1372/5000][335/535][141584] Loss_D: -0.020679 Loss_G: 0.021440 Loss_D_real: -0.017812 Loss_D_fake 0.002868
[1372/5000][340/535][141585] Loss_D: -0.020101 Loss_G: 0.014409 Loss_D_real: -0.029918 Loss_D_fake -0.009817
[1372/5000][345/535][141586] Loss_D: -0.019715 Loss_G: 0.002588 Loss_D_real: -0.010262 Loss_D_fake 0.009453
[1372/5000][350/535][141587] Loss_D: -0.019675 Loss_G: 0.011936 Loss_D_real: -0.021416 Loss_D_fake -0.001741
[1372/5000][355/535][141588] Loss_D: -0.019612 Loss_G: 0.020673 Loss_D_real: -0.029045 Loss_D_fake -0.009433
[1372/5000][360/535][141589] Loss_D: -0.020220 Loss_G: -0.010340 Loss_D_real: -0.005564 Loss_D_fake 0.014656
[1372/5000][365/535][141590] Loss_D: -0.016097 Loss_G: 0.028241 Loss_D_real: -0.041481 Loss_D_fake -0.025384
[1372/5000][370/535][141591] Loss_D: -0.021283 Loss_G: -0.014707 Loss_D_real: -0.010486 Loss_D_fake 0.010797
[1372/5000][375/535][141592] Loss_D: -0.020866 Loss_G: 0.004666 Loss_D_real: -0.010129 Loss_D_fake 0.010737
[1372/5000][380/535][141593] Loss_D: -0.019487 Loss_G: 0.006071 Loss_D_real: -0.008920 Loss_D_fake 0.010567
[1372/5000][385/535][141594] Loss_D: -0.018982 Loss_G: 0.003749 Loss_D_real: -0.006945 Loss_D_fake 0.012037
[1372/5000][390/535][141595] Loss_D: -0.021169 Loss_G: 0.001275 Loss_D_real: -0.020611 Loss_D_fake 0.000557
[1372/5000][395/535][141596] Loss_D: -0.020020 Loss_G: -0.000791 Loss_D_real: -0.009336 Loss_D_fake 0.010684
[1372/5000][400/535][141597] Loss_D: -0.020116 Loss_G: -0.012791 Loss_D_real: -0.002670 Loss_D_fake 0.017446
[1372/5000][405/535][141598] Loss_D: -0.019913 Loss_G: 0.010184 Loss_D_real: -0.011245 Loss_D_fake 0.008668
[1372/5000][410/535][141599] Loss_D: -0.018296 Loss_G: 0.022991 Loss_D_real: -0.032644 Loss_D_fake -0.014348
[1372/5000][415/535][141600] Loss_D: -0.019401 Loss_G: 0.003715 Loss_D_real: -0.004448 Loss_D_fake 0.014953
[1372/5000][420/535][141601] Loss_D: -0.020628 Loss_G: 0.002855 Loss_D_real: -0.012903 Loss_D_fake 0.007725
[1372/5000][425/535][141602] Loss_D: -0.018940 Loss_G: 0.009081 Loss_D_real: -0.023086 Loss_D_fake -0.004146
[1372/5000][430/535][141603] Loss_D: -0.019943 Loss_G: 0.011719 Loss_D_real: -0.013443 Loss_D_fake 0.006500
[1372/5000][435/535][141604] Loss_D: -0.018360 Loss_G: 0.002909 Loss_D_real: -0.018179 Loss_D_fake 0.000181
[1372/5000][440/535][141605] Loss_D: -0.018343 Loss_G: -0.003777 Loss_D_real: -0.007048 Loss_D_fake 0.011295
[1372/5000][445/535][141606] Loss_D: -0.019455 Loss_G: 0.019779 Loss_D_real: -0.028020 Loss_D_fake -0.008566
[1372/5000][450/535][141607] Loss_D: -0.020335 Loss_G: 0.003658 Loss_D_real: -0.023191 Loss_D_fake -0.002856
[1372/5000][455/535][141608] Loss_D: -0.019813 Loss_G: 0.007783 Loss_D_real: -0.024705 Loss_D_fake -0.004891
[1372/5000][460/535][141609] Loss_D: -0.018428 Loss_G: 0.026799 Loss_D_real: -0.026131 Loss_D_fake -0.007703
[1372/5000][465/535][141610] Loss_D: -0.019579 Loss_G: 0.005672 Loss_D_real: -0.012135 Loss_D_fake 0.007445
[1372/5000][470/535][141611] Loss_D: -0.020193 Loss_G: 0.009877 Loss_D_real: -0.015560 Loss_D_fake 0.004633
[1372/5000][475/535][141612] Loss_D: -0.020050 Loss_G: -0.008361 Loss_D_real: -0.007041 Loss_D_fake 0.013009
[1372/5000][480/535][141613] Loss_D: -0.019526 Loss_G: -0.003211 Loss_D_real: -0.006463 Loss_D_fake 0.013063
[1372/5000][485/535][141614] Loss_D: -0.020425 Loss_G: -0.004852 Loss_D_real: -0.000221 Loss_D_fake 0.020205
[1372/5000][490/535][141615] Loss_D: -0.019408 Loss_G: 0.022137 Loss_D_real: -0.024165 Loss_D_fake -0.004757
[1372/5000][495/535][141616] Loss_D: -0.020158 Loss_G: -0.003468 Loss_D_real: -0.005240 Loss_D_fake 0.014918
[1372/5000][500/535][141617] Loss_D: -0.019808 Loss_G: 0.008952 Loss_D_real: -0.024010 Loss_D_fake -0.004202
[1372/5000][505/535][141618] Loss_D: -0.021592 Loss_G: 0.024367 Loss_D_real: -0.018092 Loss_D_fake 0.003500
[1372/5000][510/535][141619] Loss_D: -0.019230 Loss_G: -0.022499 Loss_D_real: -0.004640 Loss_D_fake 0.014590
[1372/5000][515/535][141620] Loss_D: -0.020100 Loss_G: 0.005920 Loss_D_real: -0.008713 Loss_D_fake 0.011387
[1372/5000][520/535][141621] Loss_D: -0.019717 Loss_G: 0.010289 Loss_D_real: -0.017897 Loss_D_fake 0.001820
[1372/5000][525/535][141622] Loss_D: -0.018974 Loss_G: 0.012615 Loss_D_real: -0.009704 Loss_D_fake 0.009270
[1372/5000][530/535][141623] Loss_D: -0.019481 Loss_G: 0.007484 Loss_D_real: -0.014588 Loss_D_fake 0.004894
[1372/5000][535/535][141624] Loss_D: -0.019709 Loss_G: -0.018924 Loss_D_real: -0.027580 Loss_D_fake -0.007871
[1373/5000][5/535][141625] Loss_D: -0.018886 Loss_G: 0.028403 Loss_D_real: -0.020081 Loss_D_fake -0.001195
[1373/5000][10/535][141626] Loss_D: -0.020073 Loss_G: 0.003550 Loss_D_real: -0.013756 Loss_D_fake 0.006317
[1373/5000][15/535][141627] Loss_D: -0.018733 Loss_G: 0.000104 Loss_D_real: -0.012181 Loss_D_fake 0.006552
[1373/5000][20/535][141628] Loss_D: -0.018585 Loss_G: 0.009157 Loss_D_real: -0.022860 Loss_D_fake -0.004275
[1373/5000][25/535][141629] Loss_D: -0.017457 Loss_G: -0.018006 Loss_D_real: -0.006358 Loss_D_fake 0.011099
[1373/5000][30/535][141630] Loss_D: -0.019140 Loss_G: 0.011460 Loss_D_real: -0.031646 Loss_D_fake -0.012506
[1373/5000][35/535][141631] Loss_D: -0.018771 Loss_G: 0.003469 Loss_D_real: -0.017504 Loss_D_fake 0.001267
[1373/5000][40/535][141632] Loss_D: -0.020120 Loss_G: 0.004208 Loss_D_real: -0.010562 Loss_D_fake 0.009559
[1373/5000][45/535][141633] Loss_D: -0.019816 Loss_G: 0.007816 Loss_D_real: -0.015391 Loss_D_fake 0.004424
[1373/5000][50/535][141634] Loss_D: -0.019736 Loss_G: -0.004526 Loss_D_real: -0.011037 Loss_D_fake 0.008699
[1373/5000][55/535][141635] Loss_D: -0.019577 Loss_G: 0.007222 Loss_D_real: -0.017622 Loss_D_fake 0.001955
[1373/5000][60/535][141636] Loss_D: -0.017784 Loss_G: 0.017747 Loss_D_real: -0.030887 Loss_D_fake -0.013103
[1373/5000][65/535][141637] Loss_D: -0.017878 Loss_G: -0.011499 Loss_D_real: 0.002564 Loss_D_fake 0.020441
[1373/5000][70/535][141638] Loss_D: -0.018709 Loss_G: 0.003187 Loss_D_real: -0.011011 Loss_D_fake 0.007698
[1373/5000][75/535][141639] Loss_D: -0.019955 Loss_G: 0.005211 Loss_D_real: -0.031906 Loss_D_fake -0.011952
[1373/5000][80/535][141640] Loss_D: -0.020318 Loss_G: -0.012072 Loss_D_real: -0.007309 Loss_D_fake 0.013009
[1373/5000][85/535][141641] Loss_D: -0.020788 Loss_G: 0.004803 Loss_D_real: -0.009636 Loss_D_fake 0.011152
[1373/5000][90/535][141642] Loss_D: -0.021644 Loss_G: 0.017918 Loss_D_real: -0.010184 Loss_D_fake 0.011460
[1373/5000][95/535][141643] Loss_D: -0.020219 Loss_G: 0.012541 Loss_D_real: -0.026502 Loss_D_fake -0.006282
[1373/5000][100/535][141644] Loss_D: -0.020340 Loss_G: 0.007685 Loss_D_real: -0.018180 Loss_D_fake 0.002160
[1373/5000][105/535][141645] Loss_D: -0.019372 Loss_G: 0.019654 Loss_D_real: -0.024906 Loss_D_fake -0.005533
[1373/5000][110/535][141646] Loss_D: -0.020816 Loss_G: -0.002131 Loss_D_real: -0.018335 Loss_D_fake 0.002481
[1373/5000][115/535][141647] Loss_D: -0.019172 Loss_G: 0.033955 Loss_D_real: -0.038664 Loss_D_fake -0.019492
[1373/5000][120/535][141648] Loss_D: -0.019278 Loss_G: -0.000409 Loss_D_real: -0.008113 Loss_D_fake 0.011166
[1373/5000][125/535][141649] Loss_D: -0.019597 Loss_G: 0.012908 Loss_D_real: -0.024714 Loss_D_fake -0.005116
[1373/5000][130/535][141650] Loss_D: -0.019175 Loss_G: 0.002620 Loss_D_real: -0.013279 Loss_D_fake 0.005896
[1373/5000][135/535][141651] Loss_D: -0.020693 Loss_G: 0.009249 Loss_D_real: -0.021796 Loss_D_fake -0.001103
[1373/5000][140/535][141652] Loss_D: -0.021328 Loss_G: 0.000891 Loss_D_real: -0.016987 Loss_D_fake 0.004342
[1373/5000][145/535][141653] Loss_D: -0.020054 Loss_G: -0.001081 Loss_D_real: -0.018813 Loss_D_fake 0.001240
[1373/5000][150/535][141654] Loss_D: -0.020864 Loss_G: 0.004377 Loss_D_real: -0.017632 Loss_D_fake 0.003232
[1373/5000][155/535][141655] Loss_D: -0.019436 Loss_G: 0.000471 Loss_D_real: -0.021649 Loss_D_fake -0.002213
[1373/5000][160/535][141656] Loss_D: -0.020511 Loss_G: 0.015226 Loss_D_real: -0.020947 Loss_D_fake -0.000437
[1373/5000][165/535][141657] Loss_D: -0.020174 Loss_G: 0.019803 Loss_D_real: -0.034465 Loss_D_fake -0.014291
[1373/5000][170/535][141658] Loss_D: -0.018975 Loss_G: 0.001702 Loss_D_real: -0.020149 Loss_D_fake -0.001174
[1373/5000][175/535][141659] Loss_D: -0.020589 Loss_G: -0.003028 Loss_D_real: 0.001077 Loss_D_fake 0.021666
[1373/5000][180/535][141660] Loss_D: -0.019560 Loss_G: -0.001689 Loss_D_real: -0.014224 Loss_D_fake 0.005336
[1373/5000][185/535][141661] Loss_D: -0.017876 Loss_G: -0.003185 Loss_D_real: -0.008305 Loss_D_fake 0.009572
[1373/5000][190/535][141662] Loss_D: -0.019775 Loss_G: -0.002968 Loss_D_real: -0.002966 Loss_D_fake 0.016808
[1373/5000][195/535][141663] Loss_D: -0.019723 Loss_G: 0.002398 Loss_D_real: -0.001350 Loss_D_fake 0.018373
[1373/5000][200/535][141664] Loss_D: -0.019364 Loss_G: 0.009005 Loss_D_real: -0.020947 Loss_D_fake -0.001583
[1373/5000][205/535][141665] Loss_D: -0.019356 Loss_G: -0.003088 Loss_D_real: -0.009232 Loss_D_fake 0.010124
[1373/5000][210/535][141666] Loss_D: -0.020379 Loss_G: -0.009154 Loss_D_real: -0.029089 Loss_D_fake -0.008710
[1373/5000][215/535][141667] Loss_D: -0.020171 Loss_G: 0.002718 Loss_D_real: -0.012093 Loss_D_fake 0.008078
[1373/5000][220/535][141668] Loss_D: -0.020435 Loss_G: 0.023875 Loss_D_real: -0.017699 Loss_D_fake 0.002736
[1373/5000][225/535][141669] Loss_D: -0.019528 Loss_G: -0.008507 Loss_D_real: -0.016614 Loss_D_fake 0.002914
[1373/5000][230/535][141670] Loss_D: -0.018368 Loss_G: 0.005612 Loss_D_real: -0.011071 Loss_D_fake 0.007296
[1373/5000][235/535][141671] Loss_D: -0.020814 Loss_G: 0.004045 Loss_D_real: -0.000093 Loss_D_fake 0.020721
[1373/5000][240/535][141672] Loss_D: -0.019370 Loss_G: 0.007130 Loss_D_real: -0.029090 Loss_D_fake -0.009720
[1373/5000][245/535][141673] Loss_D: -0.018649 Loss_G: -0.002258 Loss_D_real: -0.020316 Loss_D_fake -0.001667
[1373/5000][250/535][141674] Loss_D: -0.019607 Loss_G: 0.019830 Loss_D_real: -0.027968 Loss_D_fake -0.008361
[1373/5000][255/535][141675] Loss_D: -0.020809 Loss_G: 0.018352 Loss_D_real: -0.023223 Loss_D_fake -0.002414
[1373/5000][260/535][141676] Loss_D: -0.019305 Loss_G: 0.012322 Loss_D_real: -0.020539 Loss_D_fake -0.001234
[1373/5000][265/535][141677] Loss_D: -0.018956 Loss_G: 0.009000 Loss_D_real: -0.009169 Loss_D_fake 0.009787
[1373/5000][270/535][141678] Loss_D: -0.018654 Loss_G: 0.023333 Loss_D_real: -0.030591 Loss_D_fake -0.011936
[1373/5000][275/535][141679] Loss_D: -0.018459 Loss_G: 0.015800 Loss_D_real: -0.028458 Loss_D_fake -0.009999
[1373/5000][280/535][141680] Loss_D: -0.019696 Loss_G: -0.006357 Loss_D_real: -0.006664 Loss_D_fake 0.013031
[1373/5000][285/535][141681] Loss_D: -0.019641 Loss_G: 0.016301 Loss_D_real: -0.033939 Loss_D_fake -0.014298
[1373/5000][290/535][141682] Loss_D: -0.019305 Loss_G: 0.013511 Loss_D_real: -0.013303 Loss_D_fake 0.006001
[1373/5000][295/535][141683] Loss_D: -0.018699 Loss_G: -0.009070 Loss_D_real: -0.006966 Loss_D_fake 0.011733
[1373/5000][300/535][141684] Loss_D: -0.019868 Loss_G: -0.004977 Loss_D_real: -0.021105 Loss_D_fake -0.001237
[1373/5000][305/535][141685] Loss_D: -0.020809 Loss_G: 0.005221 Loss_D_real: -0.014671 Loss_D_fake 0.006138
[1373/5000][310/535][141686] Loss_D: -0.020142 Loss_G: -0.012323 Loss_D_real: -0.015089 Loss_D_fake 0.005053
[1373/5000][315/535][141687] Loss_D: -0.020149 Loss_G: -0.002346 Loss_D_real: -0.002231 Loss_D_fake 0.017918
[1373/5000][320/535][141688] Loss_D: -0.021079 Loss_G: 0.007906 Loss_D_real: -0.004923 Loss_D_fake 0.016156
[1373/5000][325/535][141689] Loss_D: -0.019401 Loss_G: 0.012398 Loss_D_real: -0.010606 Loss_D_fake 0.008795
[1373/5000][330/535][141690] Loss_D: -0.019166 Loss_G: 0.001871 Loss_D_real: -0.004093 Loss_D_fake 0.015074
[1373/5000][335/535][141691] Loss_D: -0.019059 Loss_G: -0.006162 Loss_D_real: -0.003789 Loss_D_fake 0.015270
[1373/5000][340/535][141692] Loss_D: -0.021026 Loss_G: -0.008769 Loss_D_real: -0.006164 Loss_D_fake 0.014862
[1373/5000][345/535][141693] Loss_D: -0.018162 Loss_G: 0.032170 Loss_D_real: -0.034166 Loss_D_fake -0.016004
[1373/5000][350/535][141694] Loss_D: -0.019907 Loss_G: 0.010573 Loss_D_real: -0.009954 Loss_D_fake 0.009953
[1373/5000][355/535][141695] Loss_D: -0.019090 Loss_G: 0.013652 Loss_D_real: -0.029102 Loss_D_fake -0.010011
[1373/5000][360/535][141696] Loss_D: -0.021086 Loss_G: -0.007256 Loss_D_real: -0.010886 Loss_D_fake 0.010199
[1373/5000][365/535][141697] Loss_D: -0.019414 Loss_G: -0.000782 Loss_D_real: -0.006751 Loss_D_fake 0.012663
[1373/5000][370/535][141698] Loss_D: -0.019926 Loss_G: -0.003353 Loss_D_real: -0.013804 Loss_D_fake 0.006123
[1373/5000][375/535][141699] Loss_D: -0.019328 Loss_G: 0.009026 Loss_D_real: -0.033386 Loss_D_fake -0.014058
[1373/5000][380/535][141700] Loss_D: -0.020500 Loss_G: 0.014839 Loss_D_real: -0.016409 Loss_D_fake 0.004091
[1373/5000][385/535][141701] Loss_D: -0.021130 Loss_G: 0.003045 Loss_D_real: -0.011719 Loss_D_fake 0.009411
[1373/5000][390/535][141702] Loss_D: -0.019284 Loss_G: 0.014882 Loss_D_real: -0.021546 Loss_D_fake -0.002263
[1373/5000][395/535][141703] Loss_D: -0.020488 Loss_G: -0.000919 Loss_D_real: -0.002806 Loss_D_fake 0.017681
[1373/5000][400/535][141704] Loss_D: -0.021044 Loss_G: 0.002325 Loss_D_real: -0.010018 Loss_D_fake 0.011026
[1373/5000][405/535][141705] Loss_D: -0.020811 Loss_G: 0.011703 Loss_D_real: -0.016382 Loss_D_fake 0.004428
[1373/5000][410/535][141706] Loss_D: -0.020517 Loss_G: 0.014035 Loss_D_real: -0.012861 Loss_D_fake 0.007656
[1373/5000][415/535][141707] Loss_D: -0.020515 Loss_G: -0.016015 Loss_D_real: 0.001205 Loss_D_fake 0.021720
[1373/5000][420/535][141708] Loss_D: -0.020444 Loss_G: 0.011661 Loss_D_real: -0.024513 Loss_D_fake -0.004069
[1373/5000][425/535][141709] Loss_D: -0.018671 Loss_G: 0.025249 Loss_D_real: -0.028254 Loss_D_fake -0.009583
[1373/5000][430/535][141710] Loss_D: -0.020696 Loss_G: 0.012001 Loss_D_real: -0.007457 Loss_D_fake 0.013238
[1373/5000][435/535][141711] Loss_D: -0.019657 Loss_G: 0.000423 Loss_D_real: -0.019860 Loss_D_fake -0.000203
[1373/5000][440/535][141712] Loss_D: -0.019659 Loss_G: 0.024584 Loss_D_real: -0.023396 Loss_D_fake -0.003737
[1373/5000][445/535][141713] Loss_D: -0.019033 Loss_G: 0.028157 Loss_D_real: -0.022831 Loss_D_fake -0.003798
[1373/5000][450/535][141714] Loss_D: -0.020564 Loss_G: 0.001407 Loss_D_real: -0.000257 Loss_D_fake 0.020308
[1373/5000][455/535][141715] Loss_D: -0.019129 Loss_G: 0.008918 Loss_D_real: -0.014567 Loss_D_fake 0.004562
[1373/5000][460/535][141716] Loss_D: -0.017713 Loss_G: 0.012675 Loss_D_real: -0.017999 Loss_D_fake -0.000286
[1373/5000][465/535][141717] Loss_D: -0.018670 Loss_G: -0.001366 Loss_D_real: -0.005467 Loss_D_fake 0.013203
[1373/5000][470/535][141718] Loss_D: -0.018649 Loss_G: 0.018192 Loss_D_real: -0.030772 Loss_D_fake -0.012124
[1373/5000][475/535][141719] Loss_D: -0.019750 Loss_G: -0.005551 Loss_D_real: 0.007568 Loss_D_fake 0.027318
[1373/5000][480/535][141720] Loss_D: -0.019981 Loss_G: -0.001901 Loss_D_real: -0.008835 Loss_D_fake 0.011146
[1373/5000][485/535][141721] Loss_D: -0.020339 Loss_G: 0.013491 Loss_D_real: -0.022423 Loss_D_fake -0.002084
[1373/5000][490/535][141722] Loss_D: -0.021719 Loss_G: 0.019367 Loss_D_real: -0.019786 Loss_D_fake 0.001933
[1373/5000][495/535][141723] Loss_D: -0.019631 Loss_G: -0.018781 Loss_D_real: -0.002208 Loss_D_fake 0.017424
[1373/5000][500/535][141724] Loss_D: -0.019768 Loss_G: -0.001635 Loss_D_real: -0.018007 Loss_D_fake 0.001761
[1373/5000][505/535][141725] Loss_D: -0.019687 Loss_G: -0.007292 Loss_D_real: -0.016063 Loss_D_fake 0.003624
[1373/5000][510/535][141726] Loss_D: -0.018548 Loss_G: 0.005686 Loss_D_real: -0.019751 Loss_D_fake -0.001203
[1373/5000][515/535][141727] Loss_D: -0.019952 Loss_G: -0.002696 Loss_D_real: -0.017670 Loss_D_fake 0.002283
[1373/5000][520/535][141728] Loss_D: -0.018251 Loss_G: 0.018293 Loss_D_real: -0.029885 Loss_D_fake -0.011635
[1373/5000][525/535][141729] Loss_D: -0.020259 Loss_G: 0.018267 Loss_D_real: -0.016971 Loss_D_fake 0.003288
[1373/5000][530/535][141730] Loss_D: -0.020081 Loss_G: 0.001117 Loss_D_real: -0.013134 Loss_D_fake 0.006947
[1373/5000][535/535][141731] Loss_D: -0.016670 Loss_G: 0.022647 Loss_D_real: -0.011046 Loss_D_fake 0.005624
[1374/5000][5/535][141732] Loss_D: -0.019343 Loss_G: -0.002426 Loss_D_real: -0.010700 Loss_D_fake 0.008643
[1374/5000][10/535][141733] Loss_D: -0.019493 Loss_G: 0.011648 Loss_D_real: -0.017192 Loss_D_fake 0.002300
[1374/5000][15/535][141734] Loss_D: -0.019224 Loss_G: 0.020783 Loss_D_real: -0.027974 Loss_D_fake -0.008750
[1374/5000][20/535][141735] Loss_D: -0.020795 Loss_G: -0.002860 Loss_D_real: -0.019642 Loss_D_fake 0.001153
[1374/5000][25/535][141736] Loss_D: -0.019908 Loss_G: 0.011034 Loss_D_real: -0.017507 Loss_D_fake 0.002402
[1374/5000][30/535][141737] Loss_D: -0.018651 Loss_G: -0.011940 Loss_D_real: 0.010218 Loss_D_fake 0.028869
[1374/5000][35/535][141738] Loss_D: -0.020071 Loss_G: 0.004546 Loss_D_real: -0.019545 Loss_D_fake 0.000526
[1374/5000][40/535][141739] Loss_D: -0.020003 Loss_G: 0.002304 Loss_D_real: -0.013084 Loss_D_fake 0.006918
[1374/5000][45/535][141740] Loss_D: -0.019660 Loss_G: 0.018036 Loss_D_real: -0.020594 Loss_D_fake -0.000934
[1374/5000][50/535][141741] Loss_D: -0.018231 Loss_G: 0.003472 Loss_D_real: -0.011487 Loss_D_fake 0.006744
[1374/5000][55/535][141742] Loss_D: -0.018849 Loss_G: 0.009117 Loss_D_real: -0.029965 Loss_D_fake -0.011116
[1374/5000][60/535][141743] Loss_D: -0.020360 Loss_G: 0.006378 Loss_D_real: -0.028701 Loss_D_fake -0.008342
[1374/5000][65/535][141744] Loss_D: -0.020478 Loss_G: 0.018928 Loss_D_real: -0.029812 Loss_D_fake -0.009334
[1374/5000][70/535][141745] Loss_D: -0.017794 Loss_G: 0.032744 Loss_D_real: -0.034126 Loss_D_fake -0.016332
[1374/5000][75/535][141746] Loss_D: -0.019150 Loss_G: -0.003542 Loss_D_real: -0.016380 Loss_D_fake 0.002770
[1374/5000][80/535][141747] Loss_D: -0.019293 Loss_G: 0.011193 Loss_D_real: -0.021997 Loss_D_fake -0.002704
[1374/5000][85/535][141748] Loss_D: -0.018851 Loss_G: -0.016360 Loss_D_real: -0.001762 Loss_D_fake 0.017089
[1374/5000][90/535][141749] Loss_D: -0.019468 Loss_G: -0.001856 Loss_D_real: -0.020108 Loss_D_fake -0.000640
[1374/5000][95/535][141750] Loss_D: -0.020010 Loss_G: 0.004343 Loss_D_real: -0.017867 Loss_D_fake 0.002143
[1374/5000][100/535][141751] Loss_D: -0.017951 Loss_G: -0.017636 Loss_D_real: -0.000259 Loss_D_fake 0.017692
[1374/5000][105/535][141752] Loss_D: -0.020561 Loss_G: 0.002434 Loss_D_real: -0.016136 Loss_D_fake 0.004425
[1374/5000][110/535][141753] Loss_D: -0.018681 Loss_G: 0.020387 Loss_D_real: -0.028359 Loss_D_fake -0.009677
[1374/5000][115/535][141754] Loss_D: -0.020444 Loss_G: -0.001712 Loss_D_real: -0.008067 Loss_D_fake 0.012377
[1374/5000][120/535][141755] Loss_D: -0.020158 Loss_G: 0.010902 Loss_D_real: -0.024076 Loss_D_fake -0.003918
[1374/5000][125/535][141756] Loss_D: -0.020103 Loss_G: 0.015166 Loss_D_real: -0.022294 Loss_D_fake -0.002191
[1374/5000][130/535][141757] Loss_D: -0.019705 Loss_G: 0.011007 Loss_D_real: -0.030549 Loss_D_fake -0.010844
[1374/5000][135/535][141758] Loss_D: -0.020008 Loss_G: 0.016929 Loss_D_real: -0.019310 Loss_D_fake 0.000698
[1374/5000][140/535][141759] Loss_D: -0.020450 Loss_G: 0.006547 Loss_D_real: -0.012664 Loss_D_fake 0.007785
[1374/5000][145/535][141760] Loss_D: -0.021377 Loss_G: 0.000768 Loss_D_real: 0.000094 Loss_D_fake 0.021472
[1374/5000][150/535][141761] Loss_D: -0.020269 Loss_G: 0.004961 Loss_D_real: -0.005713 Loss_D_fake 0.014556
[1374/5000][155/535][141762] Loss_D: -0.020138 Loss_G: -0.003545 Loss_D_real: -0.011408 Loss_D_fake 0.008730
[1374/5000][160/535][141763] Loss_D: -0.020860 Loss_G: 0.005256 Loss_D_real: -0.024849 Loss_D_fake -0.003989
[1374/5000][165/535][141764] Loss_D: -0.021314 Loss_G: 0.005537 Loss_D_real: -0.017697 Loss_D_fake 0.003618
[1374/5000][170/535][141765] Loss_D: -0.019977 Loss_G: 0.006695 Loss_D_real: -0.014935 Loss_D_fake 0.005043
[1374/5000][175/535][141766] Loss_D: -0.020041 Loss_G: 0.014230 Loss_D_real: -0.030034 Loss_D_fake -0.009994
[1374/5000][180/535][141767] Loss_D: -0.019605 Loss_G: 0.016242 Loss_D_real: -0.024559 Loss_D_fake -0.004955
[1374/5000][185/535][141768] Loss_D: -0.020358 Loss_G: 0.016379 Loss_D_real: -0.024644 Loss_D_fake -0.004285
[1374/5000][190/535][141769] Loss_D: -0.021055 Loss_G: 0.007940 Loss_D_real: -0.019343 Loss_D_fake 0.001712
[1374/5000][195/535][141770] Loss_D: -0.019823 Loss_G: -0.005327 Loss_D_real: -0.009729 Loss_D_fake 0.010094
[1374/5000][200/535][141771] Loss_D: -0.020169 Loss_G: 0.014709 Loss_D_real: -0.028198 Loss_D_fake -0.008029
[1374/5000][205/535][141772] Loss_D: -0.019292 Loss_G: -0.006132 Loss_D_real: -0.002889 Loss_D_fake 0.016403
[1374/5000][210/535][141773] Loss_D: -0.020642 Loss_G: 0.011208 Loss_D_real: -0.023178 Loss_D_fake -0.002536
[1374/5000][215/535][141774] Loss_D: -0.021119 Loss_G: 0.003275 Loss_D_real: -0.013704 Loss_D_fake 0.007415
[1374/5000][220/535][141775] Loss_D: -0.019123 Loss_G: 0.032677 Loss_D_real: -0.024311 Loss_D_fake -0.005188
[1374/5000][225/535][141776] Loss_D: -0.021299 Loss_G: 0.000145 Loss_D_real: -0.011969 Loss_D_fake 0.009330
[1374/5000][230/535][141777] Loss_D: -0.020250 Loss_G: 0.003080 Loss_D_real: -0.024428 Loss_D_fake -0.004178
[1374/5000][235/535][141778] Loss_D: -0.019224 Loss_G: 0.014259 Loss_D_real: -0.017993 Loss_D_fake 0.001231
[1374/5000][240/535][141779] Loss_D: -0.020757 Loss_G: 0.016835 Loss_D_real: -0.020421 Loss_D_fake 0.000337
[1374/5000][245/535][141780] Loss_D: -0.020462 Loss_G: 0.004052 Loss_D_real: -0.023224 Loss_D_fake -0.002762
[1374/5000][250/535][141781] Loss_D: -0.018994 Loss_G: -0.006034 Loss_D_real: -0.004916 Loss_D_fake 0.014078
[1374/5000][255/535][141782] Loss_D: -0.017875 Loss_G: 0.018288 Loss_D_real: -0.024419 Loss_D_fake -0.006544
[1374/5000][260/535][141783] Loss_D: -0.020385 Loss_G: 0.006717 Loss_D_real: -0.005692 Loss_D_fake 0.014692
[1374/5000][265/535][141784] Loss_D: -0.020193 Loss_G: 0.003157 Loss_D_real: -0.017038 Loss_D_fake 0.003154
[1374/5000][270/535][141785] Loss_D: -0.017917 Loss_G: -0.013647 Loss_D_real: -0.005522 Loss_D_fake 0.012395
[1374/5000][275/535][141786] Loss_D: -0.019891 Loss_G: 0.003673 Loss_D_real: -0.006853 Loss_D_fake 0.013038
[1374/5000][280/535][141787] Loss_D: -0.018508 Loss_G: 0.008106 Loss_D_real: 0.007441 Loss_D_fake 0.025949
[1374/5000][285/535][141788] Loss_D: -0.017891 Loss_G: 0.003850 Loss_D_real: -0.018034 Loss_D_fake -0.000143
[1374/5000][290/535][141789] Loss_D: -0.019209 Loss_G: 0.010124 Loss_D_real: -0.019724 Loss_D_fake -0.000514
[1374/5000][295/535][141790] Loss_D: -0.019340 Loss_G: 0.033509 Loss_D_real: -0.025130 Loss_D_fake -0.005790
[1374/5000][300/535][141791] Loss_D: -0.018487 Loss_G: 0.000367 Loss_D_real: -0.018325 Loss_D_fake 0.000162
[1374/5000][305/535][141792] Loss_D: -0.020836 Loss_G: 0.002233 Loss_D_real: -0.013294 Loss_D_fake 0.007541
[1374/5000][310/535][141793] Loss_D: -0.020128 Loss_G: 0.009586 Loss_D_real: -0.025107 Loss_D_fake -0.004979
[1374/5000][315/535][141794] Loss_D: -0.020515 Loss_G: 0.018734 Loss_D_real: -0.026844 Loss_D_fake -0.006330
[1374/5000][320/535][141795] Loss_D: -0.021126 Loss_G: 0.008651 Loss_D_real: -0.015005 Loss_D_fake 0.006121
[1374/5000][325/535][141796] Loss_D: -0.017981 Loss_G: 0.026452 Loss_D_real: -0.028636 Loss_D_fake -0.010654
[1374/5000][330/535][141797] Loss_D: -0.019884 Loss_G: 0.001191 Loss_D_real: -0.012180 Loss_D_fake 0.007703
[1374/5000][335/535][141798] Loss_D: -0.021161 Loss_G: 0.019294 Loss_D_real: -0.011945 Loss_D_fake 0.009216
[1374/5000][340/535][141799] Loss_D: -0.020809 Loss_G: 0.001389 Loss_D_real: -0.016720 Loss_D_fake 0.004089
[1374/5000][345/535][141800] Loss_D: -0.019042 Loss_G: 0.016674 Loss_D_real: -0.039893 Loss_D_fake -0.020851
[1374/5000][350/535][141801] Loss_D: -0.019618 Loss_G: 0.024168 Loss_D_real: -0.029174 Loss_D_fake -0.009556
[1374/5000][355/535][141802] Loss_D: -0.020400 Loss_G: 0.014004 Loss_D_real: -0.009916 Loss_D_fake 0.010484
[1374/5000][360/535][141803] Loss_D: -0.019721 Loss_G: 0.019383 Loss_D_real: -0.026507 Loss_D_fake -0.006786
[1374/5000][365/535][141804] Loss_D: -0.020113 Loss_G: 0.015116 Loss_D_real: -0.013507 Loss_D_fake 0.006606
[1374/5000][370/535][141805] Loss_D: -0.019962 Loss_G: -0.007743 Loss_D_real: -0.011880 Loss_D_fake 0.008082
[1374/5000][375/535][141806] Loss_D: -0.020047 Loss_G: 0.017351 Loss_D_real: -0.027735 Loss_D_fake -0.007688
[1374/5000][380/535][141807] Loss_D: -0.020797 Loss_G: 0.016867 Loss_D_real: -0.034180 Loss_D_fake -0.013383
[1374/5000][385/535][141808] Loss_D: -0.018576 Loss_G: 0.007890 Loss_D_real: -0.017847 Loss_D_fake 0.000729
[1374/5000][390/535][141809] Loss_D: -0.019270 Loss_G: -0.003482 Loss_D_real: -0.016934 Loss_D_fake 0.002337
[1374/5000][395/535][141810] Loss_D: -0.020095 Loss_G: -0.003364 Loss_D_real: -0.022084 Loss_D_fake -0.001990
[1374/5000][400/535][141811] Loss_D: -0.020286 Loss_G: 0.018955 Loss_D_real: -0.003872 Loss_D_fake 0.016414
[1374/5000][405/535][141812] Loss_D: -0.019109 Loss_G: 0.003123 Loss_D_real: -0.015518 Loss_D_fake 0.003592
[1374/5000][410/535][141813] Loss_D: -0.020249 Loss_G: 0.006170 Loss_D_real: -0.011734 Loss_D_fake 0.008515
[1374/5000][415/535][141814] Loss_D: -0.019389 Loss_G: 0.007673 Loss_D_real: -0.021754 Loss_D_fake -0.002364
[1374/5000][420/535][141815] Loss_D: -0.019719 Loss_G: 0.023286 Loss_D_real: -0.026845 Loss_D_fake -0.007126
[1374/5000][425/535][141816] Loss_D: -0.020434 Loss_G: 0.003423 Loss_D_real: -0.009246 Loss_D_fake 0.011188
[1374/5000][430/535][141817] Loss_D: -0.019605 Loss_G: -0.007306 Loss_D_real: -0.003574 Loss_D_fake 0.016031
[1374/5000][435/535][141818] Loss_D: -0.019551 Loss_G: 0.015380 Loss_D_real: -0.031141 Loss_D_fake -0.011590
[1374/5000][440/535][141819] Loss_D: -0.019428 Loss_G: -0.000663 Loss_D_real: -0.014794 Loss_D_fake 0.004634
[1374/5000][445/535][141820] Loss_D: -0.019100 Loss_G: -0.002391 Loss_D_real: -0.000947 Loss_D_fake 0.018152
[1374/5000][450/535][141821] Loss_D: -0.020233 Loss_G: 0.017406 Loss_D_real: -0.016237 Loss_D_fake 0.003996
[1374/5000][455/535][141822] Loss_D: -0.018976 Loss_G: 0.018436 Loss_D_real: -0.039048 Loss_D_fake -0.020072
[1374/5000][460/535][141823] Loss_D: -0.019826 Loss_G: 0.015862 Loss_D_real: -0.013074 Loss_D_fake 0.006752
[1374/5000][465/535][141824] Loss_D: -0.019781 Loss_G: 0.009069 Loss_D_real: -0.022963 Loss_D_fake -0.003182
[1374/5000][470/535][141825] Loss_D: -0.019382 Loss_G: 0.021404 Loss_D_real: -0.019596 Loss_D_fake -0.000213
[1374/5000][475/535][141826] Loss_D: -0.019693 Loss_G: 0.002488 Loss_D_real: -0.024157 Loss_D_fake -0.004464
[1374/5000][480/535][141827] Loss_D: -0.019998 Loss_G: -0.007473 Loss_D_real: -0.007200 Loss_D_fake 0.012798
[1374/5000][485/535][141828] Loss_D: -0.020434 Loss_G: 0.011293 Loss_D_real: 0.002945 Loss_D_fake 0.023379
[1374/5000][490/535][141829] Loss_D: -0.020684 Loss_G: 0.015578 Loss_D_real: -0.018622 Loss_D_fake 0.002062
[1374/5000][495/535][141830] Loss_D: -0.019536 Loss_G: -0.006012 Loss_D_real: -0.002747 Loss_D_fake 0.016789
[1374/5000][500/535][141831] Loss_D: -0.019617 Loss_G: 0.000456 Loss_D_real: -0.009835 Loss_D_fake 0.009783
[1374/5000][505/535][141832] Loss_D: -0.020600 Loss_G: -0.000392 Loss_D_real: -0.009656 Loss_D_fake 0.010944
[1374/5000][510/535][141833] Loss_D: -0.019375 Loss_G: -0.000744 Loss_D_real: -0.015832 Loss_D_fake 0.003543
[1374/5000][515/535][141834] Loss_D: -0.019229 Loss_G: 0.008439 Loss_D_real: -0.011372 Loss_D_fake 0.007857
[1374/5000][520/535][141835] Loss_D: -0.019272 Loss_G: 0.003368 Loss_D_real: -0.023293 Loss_D_fake -0.004021
[1374/5000][525/535][141836] Loss_D: -0.020386 Loss_G: 0.002546 Loss_D_real: -0.015757 Loss_D_fake 0.004629
[1374/5000][530/535][141837] Loss_D: -0.019850 Loss_G: -0.001032 Loss_D_real: -0.012641 Loss_D_fake 0.007209
[1374/5000][535/535][141838] Loss_D: -0.019146 Loss_G: 0.036887 Loss_D_real: -0.021653 Loss_D_fake -0.002507
[1375/5000][5/535][141839] Loss_D: -0.019589 Loss_G: 0.007655 Loss_D_real: -0.029256 Loss_D_fake -0.009667
[1375/5000][10/535][141840] Loss_D: -0.019376 Loss_G: -0.013550 Loss_D_real: 0.001337 Loss_D_fake 0.020713
[1375/5000][15/535][141841] Loss_D: -0.019528 Loss_G: -0.004011 Loss_D_real: -0.008390 Loss_D_fake 0.011138
[1375/5000][20/535][141842] Loss_D: -0.019256 Loss_G: -0.014651 Loss_D_real: -0.002200 Loss_D_fake 0.017056
[1375/5000][25/535][141843] Loss_D: -0.020647 Loss_G: 0.014861 Loss_D_real: -0.015680 Loss_D_fake 0.004967
[1375/5000][30/535][141844] Loss_D: -0.019781 Loss_G: 0.001848 Loss_D_real: -0.014253 Loss_D_fake 0.005528
[1375/5000][35/535][141845] Loss_D: -0.015963 Loss_G: -0.013044 Loss_D_real: 0.015972 Loss_D_fake 0.031935
[1375/5000][40/535][141846] Loss_D: -0.018462 Loss_G: 0.025133 Loss_D_real: -0.034235 Loss_D_fake -0.015773
[1375/5000][45/535][141847] Loss_D: -0.018058 Loss_G: -0.001779 Loss_D_real: -0.004797 Loss_D_fake 0.013261
[1375/5000][50/535][141848] Loss_D: -0.019787 Loss_G: 0.014949 Loss_D_real: -0.023386 Loss_D_fake -0.003599
[1375/5000][55/535][141849] Loss_D: -0.022198 Loss_G: -0.008394 Loss_D_real: -0.024458 Loss_D_fake -0.002260
[1375/5000][60/535][141850] Loss_D: -0.021126 Loss_G: -0.006011 Loss_D_real: -0.016661 Loss_D_fake 0.004464
[1375/5000][65/535][141851] Loss_D: -0.019760 Loss_G: -0.005003 Loss_D_real: 0.000373 Loss_D_fake 0.020133
[1375/5000][70/535][141852] Loss_D: -0.021237 Loss_G: 0.029252 Loss_D_real: -0.020671 Loss_D_fake 0.000566
[1375/5000][75/535][141853] Loss_D: -0.019155 Loss_G: 0.032512 Loss_D_real: -0.031742 Loss_D_fake -0.012587
[1375/5000][80/535][141854] Loss_D: -0.020651 Loss_G: -0.005322 Loss_D_real: -0.016794 Loss_D_fake 0.003857
[1375/5000][85/535][141855] Loss_D: -0.019665 Loss_G: -0.006501 Loss_D_real: 0.006936 Loss_D_fake 0.026601
[1375/5000][90/535][141856] Loss_D: -0.019839 Loss_G: 0.011058 Loss_D_real: -0.019309 Loss_D_fake 0.000530
[1375/5000][95/535][141857] Loss_D: -0.020538 Loss_G: -0.010865 Loss_D_real: -0.010368 Loss_D_fake 0.010169
[1375/5000][100/535][141858] Loss_D: -0.019603 Loss_G: 0.016093 Loss_D_real: -0.023666 Loss_D_fake -0.004063
[1375/5000][105/535][141859] Loss_D: -0.020034 Loss_G: 0.002744 Loss_D_real: -0.015529 Loss_D_fake 0.004505
[1375/5000][110/535][141860] Loss_D: -0.020856 Loss_G: 0.007938 Loss_D_real: -0.011574 Loss_D_fake 0.009282
[1375/5000][115/535][141861] Loss_D: -0.019865 Loss_G: 0.006386 Loss_D_real: -0.016392 Loss_D_fake 0.003472
[1375/5000][120/535][141862] Loss_D: -0.018827 Loss_G: 0.013886 Loss_D_real: -0.023122 Loss_D_fake -0.004294
[1375/5000][125/535][141863] Loss_D: -0.020377 Loss_G: -0.002536 Loss_D_real: -0.013393 Loss_D_fake 0.006984
[1375/5000][130/535][141864] Loss_D: -0.020054 Loss_G: 0.008765 Loss_D_real: -0.019228 Loss_D_fake 0.000826
[1375/5000][135/535][141865] Loss_D: -0.019625 Loss_G: 0.000107 Loss_D_real: -0.014674 Loss_D_fake 0.004951
[1375/5000][140/535][141866] Loss_D: -0.019320 Loss_G: 0.008289 Loss_D_real: -0.011299 Loss_D_fake 0.008021
[1375/5000][145/535][141867] Loss_D: -0.017946 Loss_G: -0.015313 Loss_D_real: 0.001210 Loss_D_fake 0.019156
[1375/5000][150/535][141868] Loss_D: -0.019272 Loss_G: 0.007980 Loss_D_real: -0.016160 Loss_D_fake 0.003112
[1375/5000][155/535][141869] Loss_D: -0.018784 Loss_G: 0.005044 Loss_D_real: -0.016079 Loss_D_fake 0.002705
[1375/5000][160/535][141870] Loss_D: -0.018674 Loss_G: 0.030244 Loss_D_real: -0.035830 Loss_D_fake -0.017156
[1375/5000][165/535][141871] Loss_D: -0.019861 Loss_G: 0.002047 Loss_D_real: -0.030644 Loss_D_fake -0.010783
[1375/5000][170/535][141872] Loss_D: -0.021427 Loss_G: 0.014233 Loss_D_real: -0.020350 Loss_D_fake 0.001077
[1375/5000][175/535][141873] Loss_D: -0.020399 Loss_G: 0.014276 Loss_D_real: -0.023773 Loss_D_fake -0.003373
[1375/5000][180/535][141874] Loss_D: -0.019710 Loss_G: 0.026143 Loss_D_real: -0.019101 Loss_D_fake 0.000609
[1375/5000][185/535][141875] Loss_D: -0.019317 Loss_G: 0.015295 Loss_D_real: -0.016115 Loss_D_fake 0.003202
[1375/5000][190/535][141876] Loss_D: -0.018537 Loss_G: 0.015481 Loss_D_real: -0.018780 Loss_D_fake -0.000242
[1375/5000][195/535][141877] Loss_D: -0.019532 Loss_G: 0.015754 Loss_D_real: -0.032828 Loss_D_fake -0.013296
[1375/5000][200/535][141878] Loss_D: -0.019789 Loss_G: 0.013334 Loss_D_real: -0.020628 Loss_D_fake -0.000839
[1375/5000][205/535][141879] Loss_D: -0.020335 Loss_G: -0.006186 Loss_D_real: -0.006458 Loss_D_fake 0.013877
[1375/5000][210/535][141880] Loss_D: -0.020806 Loss_G: 0.003733 Loss_D_real: -0.004059 Loss_D_fake 0.016747
[1375/5000][215/535][141881] Loss_D: -0.018411 Loss_G: 0.014201 Loss_D_real: -0.018524 Loss_D_fake -0.000113
[1375/5000][220/535][141882] Loss_D: -0.019048 Loss_G: 0.020007 Loss_D_real: -0.020929 Loss_D_fake -0.001882
[1375/5000][225/535][141883] Loss_D: -0.019984 Loss_G: 0.013354 Loss_D_real: -0.030706 Loss_D_fake -0.010722
[1375/5000][230/535][141884] Loss_D: -0.020500 Loss_G: 0.012893 Loss_D_real: -0.025923 Loss_D_fake -0.005423
[1375/5000][235/535][141885] Loss_D: -0.019636 Loss_G: 0.015884 Loss_D_real: -0.017904 Loss_D_fake 0.001732
[1375/5000][240/535][141886] Loss_D: -0.020675 Loss_G: 0.026403 Loss_D_real: -0.028368 Loss_D_fake -0.007693
[1375/5000][245/535][141887] Loss_D: -0.019517 Loss_G: -0.009566 Loss_D_real: -0.003042 Loss_D_fake 0.016476
[1375/5000][250/535][141888] Loss_D: -0.020730 Loss_G: -0.002568 Loss_D_real: -0.019072 Loss_D_fake 0.001657
[1375/5000][255/535][141889] Loss_D: -0.019234 Loss_G: 0.015014 Loss_D_real: -0.026869 Loss_D_fake -0.007635
[1375/5000][260/535][141890] Loss_D: -0.021188 Loss_G: 0.001691 Loss_D_real: -0.007653 Loss_D_fake 0.013535
[1375/5000][265/535][141891] Loss_D: -0.019302 Loss_G: 0.014547 Loss_D_real: -0.019245 Loss_D_fake 0.000058
[1375/5000][270/535][141892] Loss_D: -0.019137 Loss_G: 0.015909 Loss_D_real: -0.012001 Loss_D_fake 0.007136
[1375/5000][275/535][141893] Loss_D: -0.018518 Loss_G: -0.000902 Loss_D_real: -0.022300 Loss_D_fake -0.003782
[1375/5000][280/535][141894] Loss_D: -0.019875 Loss_G: 0.015795 Loss_D_real: -0.021081 Loss_D_fake -0.001206
[1375/5000][285/535][141895] Loss_D: -0.019249 Loss_G: -0.007294 Loss_D_real: -0.009199 Loss_D_fake 0.010051
[1375/5000][290/535][141896] Loss_D: -0.019379 Loss_G: -0.011249 Loss_D_real: -0.004544 Loss_D_fake 0.014835
[1375/5000][295/535][141897] Loss_D: -0.020425 Loss_G: 0.011918 Loss_D_real: -0.018659 Loss_D_fake 0.001766
[1375/5000][300/535][141898] Loss_D: -0.019204 Loss_G: -0.012539 Loss_D_real: -0.014147 Loss_D_fake 0.005057
[1375/5000][305/535][141899] Loss_D: -0.019944 Loss_G: 0.015771 Loss_D_real: -0.022366 Loss_D_fake -0.002422
[1375/5000][310/535][141900] Loss_D: -0.017582 Loss_G: 0.019822 Loss_D_real: -0.033015 Loss_D_fake -0.015433
[1375/5000][315/535][141901] Loss_D: -0.019263 Loss_G: 0.008451 Loss_D_real: -0.009613 Loss_D_fake 0.009650
[1375/5000][320/535][141902] Loss_D: -0.019452 Loss_G: -0.001912 Loss_D_real: -0.008147 Loss_D_fake 0.011305
[1375/5000][325/535][141903] Loss_D: -0.018710 Loss_G: 0.006697 Loss_D_real: -0.006667 Loss_D_fake 0.012043
[1375/5000][330/535][141904] Loss_D: -0.020032 Loss_G: 0.018122 Loss_D_real: -0.016454 Loss_D_fake 0.003577
[1375/5000][335/535][141905] Loss_D: -0.019138 Loss_G: 0.012074 Loss_D_real: -0.022790 Loss_D_fake -0.003652
[1375/5000][340/535][141906] Loss_D: -0.021067 Loss_G: 0.008704 Loss_D_real: -0.021600 Loss_D_fake -0.000533
[1375/5000][345/535][141907] Loss_D: -0.020829 Loss_G: -0.011681 Loss_D_real: -0.020031 Loss_D_fake 0.000798
[1375/5000][350/535][141908] Loss_D: -0.020043 Loss_G: -0.002600 Loss_D_real: -0.023807 Loss_D_fake -0.003764
[1375/5000][355/535][141909] Loss_D: -0.018651 Loss_G: 0.017970 Loss_D_real: -0.028986 Loss_D_fake -0.010335
[1375/5000][360/535][141910] Loss_D: -0.020158 Loss_G: 0.012219 Loss_D_real: -0.020789 Loss_D_fake -0.000631
[1375/5000][365/535][141911] Loss_D: -0.021052 Loss_G: 0.005942 Loss_D_real: -0.015682 Loss_D_fake 0.005370
[1375/5000][370/535][141912] Loss_D: -0.019342 Loss_G: 0.030311 Loss_D_real: -0.020995 Loss_D_fake -0.001653
[1375/5000][375/535][141913] Loss_D: -0.020312 Loss_G: 0.010103 Loss_D_real: -0.015783 Loss_D_fake 0.004529
[1375/5000][380/535][141914] Loss_D: -0.019323 Loss_G: -0.013484 Loss_D_real: -0.009184 Loss_D_fake 0.010139
[1375/5000][385/535][141915] Loss_D: -0.019450 Loss_G: -0.000072 Loss_D_real: -0.004914 Loss_D_fake 0.014536
[1375/5000][390/535][141916] Loss_D: -0.020803 Loss_G: -0.014489 Loss_D_real: -0.013678 Loss_D_fake 0.007125
[1375/5000][395/535][141917] Loss_D: -0.020343 Loss_G: 0.022344 Loss_D_real: -0.025065 Loss_D_fake -0.004722
[1375/5000][400/535][141918] Loss_D: -0.020706 Loss_G: -0.003477 Loss_D_real: -0.004870 Loss_D_fake 0.015835
[1375/5000][405/535][141919] Loss_D: -0.018994 Loss_G: 0.004908 Loss_D_real: -0.024473 Loss_D_fake -0.005479
[1375/5000][410/535][141920] Loss_D: -0.019930 Loss_G: 0.017790 Loss_D_real: -0.019750 Loss_D_fake 0.000181
[1375/5000][415/535][141921] Loss_D: -0.019674 Loss_G: -0.002340 Loss_D_real: -0.008396 Loss_D_fake 0.011277
[1375/5000][420/535][141922] Loss_D: -0.020363 Loss_G: 0.012329 Loss_D_real: -0.028383 Loss_D_fake -0.008020
[1375/5000][425/535][141923] Loss_D: -0.020636 Loss_G: 0.018681 Loss_D_real: -0.036692 Loss_D_fake -0.016056
[1375/5000][430/535][141924] Loss_D: -0.019042 Loss_G: 0.021932 Loss_D_real: -0.008522 Loss_D_fake 0.010520
[1375/5000][435/535][141925] Loss_D: -0.019735 Loss_G: 0.011119 Loss_D_real: -0.022376 Loss_D_fake -0.002641
[1375/5000][440/535][141926] Loss_D: -0.019280 Loss_G: -0.016311 Loss_D_real: -0.000650 Loss_D_fake 0.018630
[1375/5000][445/535][141927] Loss_D: -0.019782 Loss_G: 0.010794 Loss_D_real: -0.016950 Loss_D_fake 0.002832
[1375/5000][450/535][141928] Loss_D: -0.018685 Loss_G: 0.015917 Loss_D_real: -0.029220 Loss_D_fake -0.010535
[1375/5000][455/535][141929] Loss_D: -0.018971 Loss_G: 0.009405 Loss_D_real: -0.007612 Loss_D_fake 0.011359
[1375/5000][460/535][141930] Loss_D: -0.019365 Loss_G: 0.027289 Loss_D_real: -0.031237 Loss_D_fake -0.011872
[1375/5000][465/535][141931] Loss_D: -0.019500 Loss_G: -0.011418 Loss_D_real: -0.007307 Loss_D_fake 0.012193
[1375/5000][470/535][141932] Loss_D: -0.019937 Loss_G: 0.021071 Loss_D_real: -0.009079 Loss_D_fake 0.010857
[1375/5000][475/535][141933] Loss_D: -0.020541 Loss_G: 0.012155 Loss_D_real: -0.021869 Loss_D_fake -0.001328
[1375/5000][480/535][141934] Loss_D: -0.018818 Loss_G: -0.010231 Loss_D_real: 0.010340 Loss_D_fake 0.029157
[1375/5000][485/535][141935] Loss_D: -0.019215 Loss_G: 0.008482 Loss_D_real: -0.027569 Loss_D_fake -0.008353
[1375/5000][490/535][141936] Loss_D: -0.019966 Loss_G: 0.012573 Loss_D_real: -0.023674 Loss_D_fake -0.003708
[1375/5000][495/535][141937] Loss_D: -0.020142 Loss_G: 0.005491 Loss_D_real: -0.006758 Loss_D_fake 0.013385
[1375/5000][500/535][141938] Loss_D: -0.019382 Loss_G: 0.000505 Loss_D_real: -0.006943 Loss_D_fake 0.012438
[1375/5000][505/535][141939] Loss_D: -0.018648 Loss_G: 0.005049 Loss_D_real: -0.011640 Loss_D_fake 0.007008
[1375/5000][510/535][141940] Loss_D: -0.020549 Loss_G: -0.000860 Loss_D_real: -0.016519 Loss_D_fake 0.004030
[1375/5000][515/535][141941] Loss_D: -0.020045 Loss_G: 0.007096 Loss_D_real: -0.025260 Loss_D_fake -0.005215
[1375/5000][520/535][141942] Loss_D: -0.019196 Loss_G: 0.006277 Loss_D_real: -0.017443 Loss_D_fake 0.001753
[1375/5000][525/535][141943] Loss_D: -0.018122 Loss_G: -0.014385 Loss_D_real: -0.004908 Loss_D_fake 0.013214
[1375/5000][530/535][141944] Loss_D: -0.019330 Loss_G: 0.005476 Loss_D_real: -0.018924 Loss_D_fake 0.000405
[1375/5000][535/535][141945] Loss_D: -0.020222 Loss_G: -0.017568 Loss_D_real: -0.016207 Loss_D_fake 0.004015
[1376/5000][5/535][141946] Loss_D: -0.018841 Loss_G: 0.025742 Loss_D_real: -0.021538 Loss_D_fake -0.002697
[1376/5000][10/535][141947] Loss_D: -0.019441 Loss_G: -0.002517 Loss_D_real: -0.007702 Loss_D_fake 0.011739
[1376/5000][15/535][141948] Loss_D: -0.019430 Loss_G: -0.000967 Loss_D_real: 0.000549 Loss_D_fake 0.019978
[1376/5000][20/535][141949] Loss_D: -0.019665 Loss_G: 0.008170 Loss_D_real: -0.018645 Loss_D_fake 0.001020
[1376/5000][25/535][141950] Loss_D: -0.019371 Loss_G: -0.002517 Loss_D_real: 0.005129 Loss_D_fake 0.024500
[1376/5000][30/535][141951] Loss_D: -0.018551 Loss_G: -0.003407 Loss_D_real: -0.020513 Loss_D_fake -0.001962
[1376/5000][35/535][141952] Loss_D: -0.020155 Loss_G: 0.027134 Loss_D_real: -0.015478 Loss_D_fake 0.004677
[1376/5000][40/535][141953] Loss_D: -0.020278 Loss_G: 0.013910 Loss_D_real: -0.020968 Loss_D_fake -0.000690
[1376/5000][45/535][141954] Loss_D: -0.020128 Loss_G: 0.022798 Loss_D_real: -0.026451 Loss_D_fake -0.006323
[1376/5000][50/535][141955] Loss_D: -0.020047 Loss_G: 0.028530 Loss_D_real: -0.027764 Loss_D_fake -0.007716
[1376/5000][55/535][141956] Loss_D: -0.020599 Loss_G: -0.015134 Loss_D_real: -0.016710 Loss_D_fake 0.003889
[1376/5000][60/535][141957] Loss_D: -0.020185 Loss_G: 0.014492 Loss_D_real: -0.024468 Loss_D_fake -0.004283
[1376/5000][65/535][141958] Loss_D: -0.020057 Loss_G: 0.002764 Loss_D_real: -0.013158 Loss_D_fake 0.006899
[1376/5000][70/535][141959] Loss_D: -0.019526 Loss_G: 0.006666 Loss_D_real: -0.013290 Loss_D_fake 0.006236
[1376/5000][75/535][141960] Loss_D: -0.019800 Loss_G: -0.001035 Loss_D_real: -0.014141 Loss_D_fake 0.005659
[1376/5000][80/535][141961] Loss_D: -0.019055 Loss_G: 0.010432 Loss_D_real: -0.011069 Loss_D_fake 0.007986
[1376/5000][85/535][141962] Loss_D: -0.020318 Loss_G: 0.009915 Loss_D_real: -0.016121 Loss_D_fake 0.004197
[1376/5000][90/535][141963] Loss_D: -0.020103 Loss_G: -0.000733 Loss_D_real: -0.011419 Loss_D_fake 0.008684
[1376/5000][95/535][141964] Loss_D: -0.020951 Loss_G: 0.015321 Loss_D_real: -0.023448 Loss_D_fake -0.002496
[1376/5000][100/535][141965] Loss_D: -0.019377 Loss_G: 0.010770 Loss_D_real: -0.023711 Loss_D_fake -0.004334
[1376/5000][105/535][141966] Loss_D: -0.019312 Loss_G: -0.013592 Loss_D_real: -0.007361 Loss_D_fake 0.011950
[1376/5000][110/535][141967] Loss_D: -0.020512 Loss_G: 0.023609 Loss_D_real: -0.025850 Loss_D_fake -0.005338
[1376/5000][115/535][141968] Loss_D: -0.020777 Loss_G: -0.002138 Loss_D_real: -0.015241 Loss_D_fake 0.005536
[1376/5000][120/535][141969] Loss_D: -0.019000 Loss_G: 0.021502 Loss_D_real: -0.027593 Loss_D_fake -0.008593
[1376/5000][125/535][141970] Loss_D: -0.019323 Loss_G: -0.007004 Loss_D_real: -0.007167 Loss_D_fake 0.012156
[1376/5000][130/535][141971] Loss_D: -0.019844 Loss_G: 0.019254 Loss_D_real: -0.030457 Loss_D_fake -0.010613
[1376/5000][135/535][141972] Loss_D: -0.020293 Loss_G: 0.003721 Loss_D_real: -0.017179 Loss_D_fake 0.003114
[1376/5000][140/535][141973] Loss_D: -0.019984 Loss_G: 0.022343 Loss_D_real: -0.030704 Loss_D_fake -0.010720
[1376/5000][145/535][141974] Loss_D: -0.019407 Loss_G: 0.007871 Loss_D_real: -0.017625 Loss_D_fake 0.001782
[1376/5000][150/535][141975] Loss_D: -0.020880 Loss_G: 0.000786 Loss_D_real: -0.021528 Loss_D_fake -0.000647
[1376/5000][155/535][141976] Loss_D: -0.020711 Loss_G: 0.011445 Loss_D_real: -0.000786 Loss_D_fake 0.019925
[1376/5000][160/535][141977] Loss_D: -0.019548 Loss_G: 0.010656 Loss_D_real: -0.034136 Loss_D_fake -0.014588
[1376/5000][165/535][141978] Loss_D: -0.018972 Loss_G: -0.012101 Loss_D_real: 0.003802 Loss_D_fake 0.022774
[1376/5000][170/535][141979] Loss_D: -0.019212 Loss_G: -0.003832 Loss_D_real: -0.009249 Loss_D_fake 0.009963
[1376/5000][175/535][141980] Loss_D: -0.019814 Loss_G: 0.008408 Loss_D_real: -0.021495 Loss_D_fake -0.001680
[1376/5000][180/535][141981] Loss_D: -0.018850 Loss_G: -0.003391 Loss_D_real: -0.012662 Loss_D_fake 0.006188
[1376/5000][185/535][141982] Loss_D: -0.019768 Loss_G: 0.023274 Loss_D_real: -0.023126 Loss_D_fake -0.003357
[1376/5000][190/535][141983] Loss_D: -0.020885 Loss_G: -0.007331 Loss_D_real: -0.013436 Loss_D_fake 0.007449
[1376/5000][195/535][141984] Loss_D: -0.021336 Loss_G: 0.015617 Loss_D_real: -0.002356 Loss_D_fake 0.018980
[1376/5000][200/535][141985] Loss_D: -0.020314 Loss_G: 0.001911 Loss_D_real: -0.008639 Loss_D_fake 0.011674
[1376/5000][205/535][141986] Loss_D: -0.019547 Loss_G: -0.003564 Loss_D_real: -0.026267 Loss_D_fake -0.006720
[1376/5000][210/535][141987] Loss_D: -0.019503 Loss_G: 0.015700 Loss_D_real: -0.024715 Loss_D_fake -0.005213
[1376/5000][215/535][141988] Loss_D: -0.018031 Loss_G: 0.005798 Loss_D_real: -0.022712 Loss_D_fake -0.004681
[1376/5000][220/535][141989] Loss_D: -0.020811 Loss_G: -0.002687 Loss_D_real: -0.021071 Loss_D_fake -0.000260
[1376/5000][225/535][141990] Loss_D: -0.019399 Loss_G: 0.020051 Loss_D_real: -0.023846 Loss_D_fake -0.004447
[1376/5000][230/535][141991] Loss_D: -0.019455 Loss_G: -0.003190 Loss_D_real: -0.011118 Loss_D_fake 0.008336
[1376/5000][235/535][141992] Loss_D: -0.018650 Loss_G: 0.005586 Loss_D_real: -0.019873 Loss_D_fake -0.001223
[1376/5000][240/535][141993] Loss_D: -0.019277 Loss_G: 0.003542 Loss_D_real: -0.015960 Loss_D_fake 0.003317
[1376/5000][245/535][141994] Loss_D: -0.019391 Loss_G: 0.003501 Loss_D_real: -0.022410 Loss_D_fake -0.003019
[1376/5000][250/535][141995] Loss_D: -0.020074 Loss_G: 0.007851 Loss_D_real: -0.021773 Loss_D_fake -0.001699
[1376/5000][255/535][141996] Loss_D: -0.020736 Loss_G: 0.005325 Loss_D_real: -0.025069 Loss_D_fake -0.004333
[1376/5000][260/535][141997] Loss_D: -0.020038 Loss_G: 0.017049 Loss_D_real: -0.009465 Loss_D_fake 0.010573
[1376/5000][265/535][141998] Loss_D: -0.020546 Loss_G: -0.005195 Loss_D_real: -0.022841 Loss_D_fake -0.002295
[1376/5000][270/535][141999] Loss_D: -0.020390 Loss_G: 0.013841 Loss_D_real: -0.032072 Loss_D_fake -0.011682
[1376/5000][275/535][142000] Loss_D: -0.021334 Loss_G: 0.015320 Loss_D_real: -0.018208 Loss_D_fake 0.003126
[1376/5000][375/535][142001] Loss_D: -0.021070 Loss_G: 0.024070 Loss_D_real: -0.026625 Loss_D_fake -0.005556
[1376/5000][380/535][142002] Loss_D: -0.019016 Loss_G: -0.008453 Loss_D_real: -0.023430 Loss_D_fake -0.004415
[1376/5000][385/535][142003] Loss_D: -0.020776 Loss_G: 0.002169 Loss_D_real: -0.019678 Loss_D_fake 0.001099
[1376/5000][390/535][142004] Loss_D: -0.019910 Loss_G: 0.023001 Loss_D_real: -0.016427 Loss_D_fake 0.003483
[1376/5000][395/535][142005] Loss_D: -0.018585 Loss_G: 0.016680 Loss_D_real: -0.023131 Loss_D_fake -0.004546
[1376/5000][400/535][142006] Loss_D: -0.019157 Loss_G: 0.001752 Loss_D_real: 0.002575 Loss_D_fake 0.021732
[1376/5000][405/535][142007] Loss_D: -0.019128 Loss_G: 0.024816 Loss_D_real: -0.013401 Loss_D_fake 0.005727
[1376/5000][410/535][142008] Loss_D: -0.018008 Loss_G: 0.011666 Loss_D_real: -0.023767 Loss_D_fake -0.005759
[1376/5000][415/535][142009] Loss_D: -0.019977 Loss_G: -0.001816 Loss_D_real: -0.030788 Loss_D_fake -0.010812
[1376/5000][420/535][142010] Loss_D: -0.018436 Loss_G: 0.018345 Loss_D_real: -0.019018 Loss_D_fake -0.000582
[1376/5000][425/535][142011] Loss_D: -0.018659 Loss_G: -0.008758 Loss_D_real: -0.011663 Loss_D_fake 0.006996
[1376/5000][430/535][142012] Loss_D: -0.019207 Loss_G: 0.002233 Loss_D_real: -0.012857 Loss_D_fake 0.006351
[1376/5000][435/535][142013] Loss_D: -0.019282 Loss_G: 0.006033 Loss_D_real: -0.021232 Loss_D_fake -0.001951
[1376/5000][440/535][142014] Loss_D: -0.018128 Loss_G: 0.015206 Loss_D_real: -0.028962 Loss_D_fake -0.010834
[1376/5000][445/535][142015] Loss_D: -0.018666 Loss_G: -0.006940 Loss_D_real: -0.013140 Loss_D_fake 0.005527
[1376/5000][450/535][142016] Loss_D: -0.019850 Loss_G: 0.005693 Loss_D_real: -0.009109 Loss_D_fake 0.010741
[1376/5000][455/535][142017] Loss_D: -0.018978 Loss_G: -0.006658 Loss_D_real: -0.017638 Loss_D_fake 0.001340
[1376/5000][460/535][142018] Loss_D: -0.018674 Loss_G: 0.003523 Loss_D_real: -0.012237 Loss_D_fake 0.006438
[1376/5000][465/535][142019] Loss_D: -0.018322 Loss_G: 0.020272 Loss_D_real: -0.030004 Loss_D_fake -0.011682
[1376/5000][470/535][142020] Loss_D: -0.019580 Loss_G: -0.002518 Loss_D_real: -0.002042 Loss_D_fake 0.017537
[1376/5000][475/535][142021] Loss_D: -0.020817 Loss_G: -0.001202 Loss_D_real: 0.002997 Loss_D_fake 0.023814
[1376/5000][480/535][142022] Loss_D: -0.019868 Loss_G: 0.004533 Loss_D_real: -0.002244 Loss_D_fake 0.017624
[1376/5000][485/535][142023] Loss_D: -0.019934 Loss_G: 0.001593 Loss_D_real: -0.015710 Loss_D_fake 0.004223
[1376/5000][490/535][142024] Loss_D: -0.018909 Loss_G: 0.004014 Loss_D_real: -0.009363 Loss_D_fake 0.009547
[1376/5000][495/535][142025] Loss_D: -0.020947 Loss_G: 0.028461 Loss_D_real: -0.029643 Loss_D_fake -0.008696
[1376/5000][500/535][142026] Loss_D: -0.019218 Loss_G: 0.001746 Loss_D_real: -0.012928 Loss_D_fake 0.006290
[1376/5000][505/535][142027] Loss_D: -0.020071 Loss_G: 0.016780 Loss_D_real: -0.028327 Loss_D_fake -0.008256
[1376/5000][510/535][142028] Loss_D: -0.019591 Loss_G: -0.008342 Loss_D_real: -0.001791 Loss_D_fake 0.017800
[1376/5000][515/535][142029] Loss_D: -0.020895 Loss_G: 0.006812 Loss_D_real: -0.022831 Loss_D_fake -0.001936
[1376/5000][520/535][142030] Loss_D: -0.019548 Loss_G: 0.018014 Loss_D_real: -0.023900 Loss_D_fake -0.004352
[1376/5000][525/535][142031] Loss_D: -0.019712 Loss_G: -0.001032 Loss_D_real: 0.011414 Loss_D_fake 0.031126
[1376/5000][530/535][142032] Loss_D: -0.019747 Loss_G: 0.004620 Loss_D_real: -0.013443 Loss_D_fake 0.006305
[1376/5000][535/535][142033] Loss_D: -0.019676 Loss_G: -0.010944 Loss_D_real: -0.009881 Loss_D_fake 0.009794
[1377/5000][5/535][142034] Loss_D: -0.019634 Loss_G: -0.006796 Loss_D_real: -0.011002 Loss_D_fake 0.008632
[1377/5000][10/535][142035] Loss_D: -0.020074 Loss_G: 0.008394 Loss_D_real: -0.018357 Loss_D_fake 0.001716
[1377/5000][15/535][142036] Loss_D: -0.018781 Loss_G: 0.027342 Loss_D_real: -0.021076 Loss_D_fake -0.002295
[1377/5000][20/535][142037] Loss_D: -0.020598 Loss_G: 0.016471 Loss_D_real: -0.019899 Loss_D_fake 0.000699
[1377/5000][25/535][142038] Loss_D: -0.020350 Loss_G: 0.011100 Loss_D_real: -0.015998 Loss_D_fake 0.004353
[1377/5000][30/535][142039] Loss_D: -0.019856 Loss_G: -0.002183 Loss_D_real: 0.001223 Loss_D_fake 0.021078
[1377/5000][35/535][142040] Loss_D: -0.018371 Loss_G: -0.004471 Loss_D_real: -0.004566 Loss_D_fake 0.013805
[1377/5000][40/535][142041] Loss_D: -0.019867 Loss_G: 0.010648 Loss_D_real: -0.006173 Loss_D_fake 0.013694
[1377/5000][45/535][142042] Loss_D: -0.020037 Loss_G: 0.005430 Loss_D_real: -0.017182 Loss_D_fake 0.002855
[1377/5000][50/535][142043] Loss_D: -0.020040 Loss_G: -0.000079 Loss_D_real: -0.015211 Loss_D_fake 0.004829
[1377/5000][55/535][142044] Loss_D: -0.020287 Loss_G: 0.013363 Loss_D_real: -0.012202 Loss_D_fake 0.008084
[1377/5000][60/535][142045] Loss_D: -0.019397 Loss_G: 0.006897 Loss_D_real: -0.012905 Loss_D_fake 0.006493
[1377/5000][65/535][142046] Loss_D: -0.017831 Loss_G: -0.007823 Loss_D_real: -0.008426 Loss_D_fake 0.009405
[1377/5000][70/535][142047] Loss_D: -0.019528 Loss_G: 0.013094 Loss_D_real: -0.030110 Loss_D_fake -0.010582
[1377/5000][75/535][142048] Loss_D: -0.020132 Loss_G: 0.003952 Loss_D_real: -0.023873 Loss_D_fake -0.003741
[1377/5000][80/535][142049] Loss_D: -0.019019 Loss_G: -0.000671 Loss_D_real: -0.024415 Loss_D_fake -0.005396
[1377/5000][85/535][142050] Loss_D: -0.020773 Loss_G: 0.015636 Loss_D_real: -0.017556 Loss_D_fake 0.003217
[1377/5000][90/535][142051] Loss_D: -0.019816 Loss_G: 0.019057 Loss_D_real: -0.037250 Loss_D_fake -0.017435
[1377/5000][95/535][142052] Loss_D: -0.019722 Loss_G: 0.020110 Loss_D_real: -0.031413 Loss_D_fake -0.011691
[1377/5000][100/535][142053] Loss_D: -0.020696 Loss_G: 0.016302 Loss_D_real: -0.027041 Loss_D_fake -0.006345
[1377/5000][105/535][142054] Loss_D: -0.019935 Loss_G: 0.003983 Loss_D_real: -0.020295 Loss_D_fake -0.000360
[1377/5000][110/535][142055] Loss_D: -0.019517 Loss_G: -0.010358 Loss_D_real: -0.009918 Loss_D_fake 0.009599
[1377/5000][115/535][142056] Loss_D: -0.020344 Loss_G: 0.019656 Loss_D_real: -0.025154 Loss_D_fake -0.004809
[1377/5000][120/535][142057] Loss_D: -0.019866 Loss_G: -0.008025 Loss_D_real: -0.020273 Loss_D_fake -0.000407
[1377/5000][125/535][142058] Loss_D: -0.019017 Loss_G: 0.002646 Loss_D_real: -0.017028 Loss_D_fake 0.001989
[1377/5000][130/535][142059] Loss_D: -0.019138 Loss_G: 0.019009 Loss_D_real: -0.026792 Loss_D_fake -0.007654
[1377/5000][135/535][142060] Loss_D: -0.019963 Loss_G: 0.016207 Loss_D_real: -0.030177 Loss_D_fake -0.010213
[1377/5000][140/535][142061] Loss_D: -0.018451 Loss_G: 0.021286 Loss_D_real: -0.028802 Loss_D_fake -0.010351
[1377/5000][145/535][142062] Loss_D: -0.020581 Loss_G: 0.006099 Loss_D_real: -0.017510 Loss_D_fake 0.003071
[1377/5000][150/535][142063] Loss_D: -0.021074 Loss_G: -0.015550 Loss_D_real: -0.015274 Loss_D_fake 0.005800
[1377/5000][155/535][142064] Loss_D: -0.019856 Loss_G: 0.003354 Loss_D_real: -0.020080 Loss_D_fake -0.000224
[1377/5000][160/535][142065] Loss_D: -0.021094 Loss_G: 0.010224 Loss_D_real: -0.021706 Loss_D_fake -0.000612
[1377/5000][165/535][142066] Loss_D: -0.020839 Loss_G: 0.019051 Loss_D_real: -0.015270 Loss_D_fake 0.005569
[1377/5000][170/535][142067] Loss_D: -0.020541 Loss_G: 0.008456 Loss_D_real: -0.015842 Loss_D_fake 0.004699
[1377/5000][175/535][142068] Loss_D: -0.020942 Loss_G: -0.009751 Loss_D_real: -0.019056 Loss_D_fake 0.001886
[1377/5000][180/535][142069] Loss_D: -0.020805 Loss_G: 0.005734 Loss_D_real: -0.010060 Loss_D_fake 0.010745
[1377/5000][185/535][142070] Loss_D: -0.020012 Loss_G: 0.012049 Loss_D_real: -0.024283 Loss_D_fake -0.004270
[1377/5000][190/535][142071] Loss_D: -0.020142 Loss_G: 0.008107 Loss_D_real: -0.016805 Loss_D_fake 0.003337
[1377/5000][195/535][142072] Loss_D: -0.019827 Loss_G: 0.003416 Loss_D_real: -0.006868 Loss_D_fake 0.012958
[1377/5000][200/535][142073] Loss_D: -0.019136 Loss_G: 0.005323 Loss_D_real: -0.010508 Loss_D_fake 0.008628
[1377/5000][205/535][142074] Loss_D: -0.019694 Loss_G: -0.009704 Loss_D_real: -0.001194 Loss_D_fake 0.018500
[1377/5000][210/535][142075] Loss_D: -0.019307 Loss_G: 0.014296 Loss_D_real: -0.015801 Loss_D_fake 0.003506
[1377/5000][215/535][142076] Loss_D: -0.020803 Loss_G: -0.023285 Loss_D_real: -0.003838 Loss_D_fake 0.016965
[1377/5000][220/535][142077] Loss_D: -0.019684 Loss_G: 0.017020 Loss_D_real: -0.013531 Loss_D_fake 0.006153
[1377/5000][225/535][142078] Loss_D: -0.020105 Loss_G: -0.003176 Loss_D_real: -0.019344 Loss_D_fake 0.000761
[1377/5000][230/535][142079] Loss_D: -0.019023 Loss_G: 0.029429 Loss_D_real: -0.031233 Loss_D_fake -0.012210
[1377/5000][235/535][142080] Loss_D: -0.020326 Loss_G: 0.006157 Loss_D_real: -0.021707 Loss_D_fake -0.001381
[1377/5000][240/535][142081] Loss_D: -0.019610 Loss_G: 0.017460 Loss_D_real: -0.021809 Loss_D_fake -0.002199
[1377/5000][245/535][142082] Loss_D: -0.020054 Loss_G: 0.006091 Loss_D_real: -0.012416 Loss_D_fake 0.007638
[1377/5000][250/535][142083] Loss_D: -0.018969 Loss_G: 0.028437 Loss_D_real: -0.030979 Loss_D_fake -0.012011
[1377/5000][255/535][142084] Loss_D: -0.018042 Loss_G: -0.009632 Loss_D_real: -0.002113 Loss_D_fake 0.015929
[1377/5000][260/535][142085] Loss_D: -0.020630 Loss_G: 0.004182 Loss_D_real: -0.004518 Loss_D_fake 0.016112
[1377/5000][265/535][142086] Loss_D: -0.021075 Loss_G: 0.011625 Loss_D_real: -0.018403 Loss_D_fake 0.002672
[1377/5000][270/535][142087] Loss_D: -0.019150 Loss_G: 0.014557 Loss_D_real: -0.017779 Loss_D_fake 0.001371
[1377/5000][275/535][142088] Loss_D: -0.019125 Loss_G: 0.002877 Loss_D_real: -0.010776 Loss_D_fake 0.008349
[1377/5000][280/535][142089] Loss_D: -0.019426 Loss_G: 0.013671 Loss_D_real: -0.029322 Loss_D_fake -0.009895
[1377/5000][285/535][142090] Loss_D: -0.020264 Loss_G: -0.006410 Loss_D_real: 0.005115 Loss_D_fake 0.025379
[1377/5000][290/535][142091] Loss_D: -0.019247 Loss_G: 0.011820 Loss_D_real: -0.019283 Loss_D_fake -0.000036
[1377/5000][295/535][142092] Loss_D: -0.018632 Loss_G: 0.008959 Loss_D_real: -0.030046 Loss_D_fake -0.011415
[1377/5000][300/535][142093] Loss_D: -0.019162 Loss_G: -0.009093 Loss_D_real: -0.002308 Loss_D_fake 0.016855
[1377/5000][305/535][142094] Loss_D: -0.018528 Loss_G: -0.004860 Loss_D_real: -0.011787 Loss_D_fake 0.006741
[1377/5000][310/535][142095] Loss_D: -0.021306 Loss_G: -0.002379 Loss_D_real: -0.023201 Loss_D_fake -0.001895
[1377/5000][315/535][142096] Loss_D: -0.020519 Loss_G: 0.002949 Loss_D_real: -0.011264 Loss_D_fake 0.009255
[1377/5000][320/535][142097] Loss_D: -0.020505 Loss_G: 0.012640 Loss_D_real: -0.015320 Loss_D_fake 0.005185
[1377/5000][325/535][142098] Loss_D: -0.020828 Loss_G: 0.008988 Loss_D_real: -0.012527 Loss_D_fake 0.008301
[1377/5000][330/535][142099] Loss_D: -0.019994 Loss_G: 0.001759 Loss_D_real: -0.014103 Loss_D_fake 0.005891
[1377/5000][335/535][142100] Loss_D: -0.019804 Loss_G: 0.007523 Loss_D_real: -0.023525 Loss_D_fake -0.003722
[1377/5000][340/535][142101] Loss_D: -0.019042 Loss_G: 0.018730 Loss_D_real: -0.036648 Loss_D_fake -0.017606
[1377/5000][345/535][142102] Loss_D: -0.020032 Loss_G: -0.001806 Loss_D_real: -0.019036 Loss_D_fake 0.000996
[1377/5000][350/535][142103] Loss_D: -0.019864 Loss_G: 0.005663 Loss_D_real: -0.005717 Loss_D_fake 0.014147
[1377/5000][355/535][142104] Loss_D: -0.020636 Loss_G: -0.003571 Loss_D_real: -0.011571 Loss_D_fake 0.009065
[1377/5000][360/535][142105] Loss_D: -0.019689 Loss_G: 0.002289 Loss_D_real: -0.006829 Loss_D_fake 0.012860
[1377/5000][365/535][142106] Loss_D: -0.019936 Loss_G: 0.006115 Loss_D_real: -0.018105 Loss_D_fake 0.001832
[1377/5000][370/535][142107] Loss_D: -0.020023 Loss_G: 0.009791 Loss_D_real: -0.023557 Loss_D_fake -0.003535
[1377/5000][375/535][142108] Loss_D: -0.019598 Loss_G: 0.008993 Loss_D_real: -0.040155 Loss_D_fake -0.020557
[1377/5000][380/535][142109] Loss_D: -0.020115 Loss_G: 0.022833 Loss_D_real: -0.023021 Loss_D_fake -0.002907
[1377/5000][385/535][142110] Loss_D: -0.020297 Loss_G: -0.003542 Loss_D_real: -0.017257 Loss_D_fake 0.003040
[1377/5000][390/535][142111] Loss_D: -0.021290 Loss_G: 0.023846 Loss_D_real: -0.024976 Loss_D_fake -0.003686
[1377/5000][395/535][142112] Loss_D: -0.019982 Loss_G: -0.011197 Loss_D_real: -0.013127 Loss_D_fake 0.006855
[1377/5000][400/535][142113] Loss_D: -0.021092 Loss_G: 0.013276 Loss_D_real: -0.011840 Loss_D_fake 0.009252
[1377/5000][405/535][142114] Loss_D: -0.021394 Loss_G: 0.004409 Loss_D_real: -0.012051 Loss_D_fake 0.009343
[1377/5000][410/535][142115] Loss_D: -0.020296 Loss_G: 0.022298 Loss_D_real: -0.023069 Loss_D_fake -0.002773
[1377/5000][415/535][142116] Loss_D: -0.019525 Loss_G: 0.025012 Loss_D_real: -0.024868 Loss_D_fake -0.005343
[1377/5000][420/535][142117] Loss_D: -0.020303 Loss_G: 0.006095 Loss_D_real: -0.013275 Loss_D_fake 0.007028
[1377/5000][425/535][142118] Loss_D: -0.020098 Loss_G: 0.001867 Loss_D_real: -0.014140 Loss_D_fake 0.005958
[1377/5000][430/535][142119] Loss_D: -0.020154 Loss_G: 0.002084 Loss_D_real: -0.006323 Loss_D_fake 0.013831
[1377/5000][435/535][142120] Loss_D: -0.019841 Loss_G: 0.012515 Loss_D_real: -0.019573 Loss_D_fake 0.000268
[1377/5000][440/535][142121] Loss_D: -0.020260 Loss_G: 0.010575 Loss_D_real: -0.020599 Loss_D_fake -0.000339
[1377/5000][445/535][142122] Loss_D: -0.020579 Loss_G: 0.009494 Loss_D_real: -0.013755 Loss_D_fake 0.006825
[1377/5000][450/535][142123] Loss_D: -0.020353 Loss_G: 0.005773 Loss_D_real: -0.010493 Loss_D_fake 0.009861
[1377/5000][455/535][142124] Loss_D: -0.019678 Loss_G: 0.025135 Loss_D_real: -0.028809 Loss_D_fake -0.009131
[1377/5000][460/535][142125] Loss_D: -0.020096 Loss_G: -0.002143 Loss_D_real: -0.021931 Loss_D_fake -0.001835
[1377/5000][465/535][142126] Loss_D: -0.019585 Loss_G: -0.002862 Loss_D_real: -0.008452 Loss_D_fake 0.011133
[1377/5000][470/535][142127] Loss_D: -0.019918 Loss_G: 0.003727 Loss_D_real: -0.012816 Loss_D_fake 0.007102
[1377/5000][475/535][142128] Loss_D: -0.020616 Loss_G: 0.004410 Loss_D_real: -0.024109 Loss_D_fake -0.003493
[1377/5000][480/535][142129] Loss_D: -0.020013 Loss_G: -0.007143 Loss_D_real: -0.013221 Loss_D_fake 0.006792
[1377/5000][485/535][142130] Loss_D: -0.019492 Loss_G: -0.008666 Loss_D_real: -0.008312 Loss_D_fake 0.011180
[1377/5000][490/535][142131] Loss_D: -0.019707 Loss_G: 0.000818 Loss_D_real: -0.014870 Loss_D_fake 0.004837
[1377/5000][495/535][142132] Loss_D: -0.019054 Loss_G: 0.027609 Loss_D_real: -0.027278 Loss_D_fake -0.008224
[1377/5000][500/535][142133] Loss_D: -0.018604 Loss_G: 0.011677 Loss_D_real: -0.018831 Loss_D_fake -0.000227
[1377/5000][505/535][142134] Loss_D: -0.020557 Loss_G: 0.010672 Loss_D_real: -0.018845 Loss_D_fake 0.001712
[1377/5000][510/535][142135] Loss_D: -0.018990 Loss_G: -0.021337 Loss_D_real: 0.001659 Loss_D_fake 0.020649
[1377/5000][515/535][142136] Loss_D: -0.020267 Loss_G: -0.001460 Loss_D_real: -0.017200 Loss_D_fake 0.003068
[1377/5000][520/535][142137] Loss_D: -0.019324 Loss_G: -0.005498 Loss_D_real: -0.000601 Loss_D_fake 0.018723
[1377/5000][525/535][142138] Loss_D: -0.019921 Loss_G: 0.002199 Loss_D_real: -0.005190 Loss_D_fake 0.014731
[1377/5000][530/535][142139] Loss_D: -0.020152 Loss_G: 0.000032 Loss_D_real: -0.010655 Loss_D_fake 0.009497
[1377/5000][535/535][142140] Loss_D: -0.020637 Loss_G: 0.025392 Loss_D_real: -0.019023 Loss_D_fake 0.001614
[1378/5000][5/535][142141] Loss_D: -0.020057 Loss_G: -0.006463 Loss_D_real: -0.016465 Loss_D_fake 0.003592
[1378/5000][10/535][142142] Loss_D: -0.018394 Loss_G: 0.012394 Loss_D_real: -0.017866 Loss_D_fake 0.000528
[1378/5000][15/535][142143] Loss_D: -0.019982 Loss_G: 0.024146 Loss_D_real: -0.029685 Loss_D_fake -0.009703
[1378/5000][20/535][142144] Loss_D: -0.018833 Loss_G: -0.009395 Loss_D_real: -0.009379 Loss_D_fake 0.009454
[1378/5000][25/535][142145] Loss_D: -0.020763 Loss_G: -0.000273 Loss_D_real: -0.001198 Loss_D_fake 0.019564
[1378/5000][30/535][142146] Loss_D: -0.019306 Loss_G: 0.014177 Loss_D_real: -0.020952 Loss_D_fake -0.001645
[1378/5000][35/535][142147] Loss_D: -0.019951 Loss_G: -0.004164 Loss_D_real: -0.002143 Loss_D_fake 0.017808
[1378/5000][40/535][142148] Loss_D: -0.016896 Loss_G: 0.026526 Loss_D_real: -0.028050 Loss_D_fake -0.011155
[1378/5000][45/535][142149] Loss_D: -0.018463 Loss_G: 0.006417 Loss_D_real: -0.017422 Loss_D_fake 0.001041
[1378/5000][50/535][142150] Loss_D: -0.019457 Loss_G: -0.004927 Loss_D_real: -0.014747 Loss_D_fake 0.004710
[1378/5000][55/535][142151] Loss_D: -0.019965 Loss_G: -0.000758 Loss_D_real: -0.026651 Loss_D_fake -0.006686
[1378/5000][60/535][142152] Loss_D: -0.019219 Loss_G: -0.002508 Loss_D_real: -0.009151 Loss_D_fake 0.010068
[1378/5000][65/535][142153] Loss_D: -0.019440 Loss_G: 0.014824 Loss_D_real: -0.015592 Loss_D_fake 0.003848
[1378/5000][70/535][142154] Loss_D: -0.020450 Loss_G: 0.014390 Loss_D_real: -0.019133 Loss_D_fake 0.001317
[1378/5000][75/535][142155] Loss_D: -0.018953 Loss_G: 0.018058 Loss_D_real: -0.011864 Loss_D_fake 0.007089
[1378/5000][80/535][142156] Loss_D: -0.020380 Loss_G: -0.008519 Loss_D_real: 0.001091 Loss_D_fake 0.021471
[1378/5000][85/535][142157] Loss_D: -0.020003 Loss_G: 0.009853 Loss_D_real: -0.025309 Loss_D_fake -0.005306
[1378/5000][90/535][142158] Loss_D: -0.019606 Loss_G: -0.000517 Loss_D_real: -0.006766 Loss_D_fake 0.012840
[1378/5000][95/535][142159] Loss_D: -0.018882 Loss_G: -0.019092 Loss_D_real: 0.002700 Loss_D_fake 0.021582
[1378/5000][100/535][142160] Loss_D: -0.019757 Loss_G: 0.003115 Loss_D_real: -0.006739 Loss_D_fake 0.013018
[1378/5000][105/535][142161] Loss_D: -0.020162 Loss_G: 0.001318 Loss_D_real: -0.029193 Loss_D_fake -0.009030
[1378/5000][110/535][142162] Loss_D: -0.020362 Loss_G: -0.002495 Loss_D_real: -0.019082 Loss_D_fake 0.001280
[1378/5000][115/535][142163] Loss_D: -0.019706 Loss_G: -0.003203 Loss_D_real: -0.011651 Loss_D_fake 0.008055
[1378/5000][120/535][142164] Loss_D: -0.018856 Loss_G: 0.021611 Loss_D_real: -0.033043 Loss_D_fake -0.014187
[1378/5000][125/535][142165] Loss_D: -0.021526 Loss_G: 0.003749 Loss_D_real: -0.002981 Loss_D_fake 0.018545
[1378/5000][130/535][142166] Loss_D: -0.019160 Loss_G: 0.005043 Loss_D_real: -0.023709 Loss_D_fake -0.004549
[1378/5000][135/535][142167] Loss_D: -0.019043 Loss_G: -0.010067 Loss_D_real: -0.005176 Loss_D_fake 0.013867
[1378/5000][140/535][142168] Loss_D: -0.019677 Loss_G: 0.008559 Loss_D_real: -0.010996 Loss_D_fake 0.008681
[1378/5000][145/535][142169] Loss_D: -0.019896 Loss_G: -0.010939 Loss_D_real: 0.001314 Loss_D_fake 0.021210
[1378/5000][150/535][142170] Loss_D: -0.019927 Loss_G: 0.001682 Loss_D_real: -0.008727 Loss_D_fake 0.011200
[1378/5000][155/535][142171] Loss_D: -0.020403 Loss_G: 0.026767 Loss_D_real: -0.029550 Loss_D_fake -0.009147
[1378/5000][160/535][142172] Loss_D: -0.021467 Loss_G: 0.009337 Loss_D_real: -0.010909 Loss_D_fake 0.010557
[1378/5000][165/535][142173] Loss_D: -0.020166 Loss_G: 0.002219 Loss_D_real: -0.014587 Loss_D_fake 0.005580
[1378/5000][170/535][142174] Loss_D: -0.020489 Loss_G: 0.019902 Loss_D_real: -0.027322 Loss_D_fake -0.006833
[1378/5000][175/535][142175] Loss_D: -0.017713 Loss_G: -0.028743 Loss_D_real: 0.010059 Loss_D_fake 0.027772
[1378/5000][180/535][142176] Loss_D: -0.019596 Loss_G: 0.029560 Loss_D_real: -0.026370 Loss_D_fake -0.006775
[1378/5000][185/535][142177] Loss_D: -0.018588 Loss_G: -0.013845 Loss_D_real: -0.009754 Loss_D_fake 0.008834
[1378/5000][190/535][142178] Loss_D: -0.017900 Loss_G: -0.012459 Loss_D_real: 0.005844 Loss_D_fake 0.023743
[1378/5000][195/535][142179] Loss_D: -0.020488 Loss_G: 0.001582 Loss_D_real: -0.008256 Loss_D_fake 0.012232
[1378/5000][200/535][142180] Loss_D: -0.019667 Loss_G: -0.009628 Loss_D_real: -0.004586 Loss_D_fake 0.015081
[1378/5000][205/535][142181] Loss_D: -0.018309 Loss_G: 0.014168 Loss_D_real: -0.025106 Loss_D_fake -0.006797
[1378/5000][210/535][142182] Loss_D: -0.020051 Loss_G: 0.002777 Loss_D_real: -0.020297 Loss_D_fake -0.000246
[1378/5000][215/535][142183] Loss_D: -0.019368 Loss_G: 0.004327 Loss_D_real: -0.009815 Loss_D_fake 0.009553
[1378/5000][220/535][142184] Loss_D: -0.019530 Loss_G: 0.019869 Loss_D_real: -0.027619 Loss_D_fake -0.008089
[1378/5000][225/535][142185] Loss_D: -0.018868 Loss_G: -0.009234 Loss_D_real: -0.001939 Loss_D_fake 0.016929
[1378/5000][230/535][142186] Loss_D: -0.020283 Loss_G: -0.010649 Loss_D_real: -0.008611 Loss_D_fake 0.011672
[1378/5000][235/535][142187] Loss_D: -0.021129 Loss_G: 0.010471 Loss_D_real: -0.017394 Loss_D_fake 0.003736
[1378/5000][240/535][142188] Loss_D: -0.020322 Loss_G: 0.010588 Loss_D_real: -0.023599 Loss_D_fake -0.003277
[1378/5000][245/535][142189] Loss_D: -0.020394 Loss_G: -0.000763 Loss_D_real: -0.007690 Loss_D_fake 0.012704
[1378/5000][250/535][142190] Loss_D: -0.019727 Loss_G: 0.004381 Loss_D_real: -0.018499 Loss_D_fake 0.001228
[1378/5000][255/535][142191] Loss_D: -0.019808 Loss_G: -0.013162 Loss_D_real: -0.012101 Loss_D_fake 0.007707
[1378/5000][260/535][142192] Loss_D: -0.019460 Loss_G: 0.015367 Loss_D_real: -0.029560 Loss_D_fake -0.010100
[1378/5000][265/535][142193] Loss_D: -0.021474 Loss_G: 0.020969 Loss_D_real: -0.019076 Loss_D_fake 0.002397
[1378/5000][270/535][142194] Loss_D: -0.021034 Loss_G: 0.006997 Loss_D_real: -0.004795 Loss_D_fake 0.016239
[1378/5000][275/535][142195] Loss_D: -0.020734 Loss_G: 0.004176 Loss_D_real: -0.014310 Loss_D_fake 0.006424
[1378/5000][280/535][142196] Loss_D: -0.020458 Loss_G: 0.004146 Loss_D_real: -0.004497 Loss_D_fake 0.015960
[1378/5000][285/535][142197] Loss_D: -0.018655 Loss_G: 0.009200 Loss_D_real: -0.021411 Loss_D_fake -0.002755
[1378/5000][290/535][142198] Loss_D: -0.020006 Loss_G: 0.008387 Loss_D_real: -0.022290 Loss_D_fake -0.002284
[1378/5000][295/535][142199] Loss_D: -0.020444 Loss_G: 0.001339 Loss_D_real: -0.029964 Loss_D_fake -0.009520
[1378/5000][300/535][142200] Loss_D: -0.020032 Loss_G: -0.000430 Loss_D_real: -0.020386 Loss_D_fake -0.000354
[1378/5000][305/535][142201] Loss_D: -0.020245 Loss_G: 0.009875 Loss_D_real: -0.015022 Loss_D_fake 0.005223
[1378/5000][310/535][142202] Loss_D: -0.019662 Loss_G: -0.007474 Loss_D_real: -0.009186 Loss_D_fake 0.010476
[1378/5000][315/535][142203] Loss_D: -0.019757 Loss_G: 0.030468 Loss_D_real: -0.028045 Loss_D_fake -0.008288
[1378/5000][320/535][142204] Loss_D: -0.018146 Loss_G: 0.031968 Loss_D_real: -0.032265 Loss_D_fake -0.014119
[1378/5000][325/535][142205] Loss_D: -0.019883 Loss_G: 0.006770 Loss_D_real: -0.010152 Loss_D_fake 0.009730
[1378/5000][330/535][142206] Loss_D: -0.019011 Loss_G: -0.014527 Loss_D_real: -0.005412 Loss_D_fake 0.013599
[1378/5000][335/535][142207] Loss_D: -0.019068 Loss_G: -0.007078 Loss_D_real: -0.005227 Loss_D_fake 0.013841
[1378/5000][340/535][142208] Loss_D: -0.019228 Loss_G: 0.017438 Loss_D_real: -0.035598 Loss_D_fake -0.016370
[1378/5000][345/535][142209] Loss_D: -0.019880 Loss_G: 0.006770 Loss_D_real: -0.012999 Loss_D_fake 0.006881
[1378/5000][350/535][142210] Loss_D: -0.019877 Loss_G: 0.003545 Loss_D_real: -0.000550 Loss_D_fake 0.019327
[1378/5000][355/535][142211] Loss_D: -0.019592 Loss_G: 0.011267 Loss_D_real: -0.024818 Loss_D_fake -0.005226
[1378/5000][360/535][142212] Loss_D: -0.019301 Loss_G: 0.014416 Loss_D_real: -0.027535 Loss_D_fake -0.008234
[1378/5000][365/535][142213] Loss_D: -0.019775 Loss_G: 0.009687 Loss_D_real: -0.020504 Loss_D_fake -0.000729
[1378/5000][370/535][142214] Loss_D: -0.020628 Loss_G: -0.000947 Loss_D_real: -0.013885 Loss_D_fake 0.006743
[1378/5000][375/535][142215] Loss_D: -0.020768 Loss_G: 0.014923 Loss_D_real: -0.021596 Loss_D_fake -0.000827
[1378/5000][380/535][142216] Loss_D: -0.019624 Loss_G: 0.001938 Loss_D_real: -0.012924 Loss_D_fake 0.006701
[1378/5000][385/535][142217] Loss_D: -0.018475 Loss_G: -0.020779 Loss_D_real: -0.001661 Loss_D_fake 0.016814
[1378/5000][390/535][142218] Loss_D: -0.019878 Loss_G: 0.010534 Loss_D_real: -0.024764 Loss_D_fake -0.004886
[1378/5000][395/535][142219] Loss_D: -0.020085 Loss_G: 0.023341 Loss_D_real: -0.021489 Loss_D_fake -0.001404
[1378/5000][400/535][142220] Loss_D: -0.020590 Loss_G: -0.012362 Loss_D_real: -0.013770 Loss_D_fake 0.006820
[1378/5000][405/535][142221] Loss_D: -0.019096 Loss_G: -0.017937 Loss_D_real: 0.003362 Loss_D_fake 0.022458
[1378/5000][410/535][142222] Loss_D: -0.018410 Loss_G: 0.000005 Loss_D_real: -0.012606 Loss_D_fake 0.005804
[1378/5000][415/535][142223] Loss_D: -0.019529 Loss_G: 0.018314 Loss_D_real: -0.029500 Loss_D_fake -0.009971
[1378/5000][420/535][142224] Loss_D: -0.019622 Loss_G: 0.021767 Loss_D_real: -0.033254 Loss_D_fake -0.013632
[1378/5000][425/535][142225] Loss_D: -0.020570 Loss_G: 0.001880 Loss_D_real: -0.017129 Loss_D_fake 0.003441
[1378/5000][430/535][142226] Loss_D: -0.019408 Loss_G: 0.021670 Loss_D_real: -0.022063 Loss_D_fake -0.002655
[1378/5000][435/535][142227] Loss_D: -0.019132 Loss_G: -0.003166 Loss_D_real: -0.012924 Loss_D_fake 0.006209
[1378/5000][440/535][142228] Loss_D: -0.020440 Loss_G: -0.009163 Loss_D_real: -0.008079 Loss_D_fake 0.012361
[1378/5000][445/535][142229] Loss_D: -0.019446 Loss_G: 0.010103 Loss_D_real: -0.019128 Loss_D_fake 0.000318
[1378/5000][450/535][142230] Loss_D: -0.018766 Loss_G: -0.011725 Loss_D_real: 0.004092 Loss_D_fake 0.022858
[1378/5000][455/535][142231] Loss_D: -0.018956 Loss_G: -0.002336 Loss_D_real: -0.015247 Loss_D_fake 0.003709
[1378/5000][460/535][142232] Loss_D: -0.020371 Loss_G: 0.017942 Loss_D_real: -0.022027 Loss_D_fake -0.001656
[1378/5000][465/535][142233] Loss_D: -0.019068 Loss_G: -0.002368 Loss_D_real: -0.011820 Loss_D_fake 0.007248
[1378/5000][470/535][142234] Loss_D: -0.019726 Loss_G: 0.022998 Loss_D_real: -0.014827 Loss_D_fake 0.004898
[1378/5000][475/535][142235] Loss_D: -0.018083 Loss_G: 0.003418 Loss_D_real: -0.007612 Loss_D_fake 0.010472
[1378/5000][480/535][142236] Loss_D: -0.018815 Loss_G: 0.006256 Loss_D_real: -0.012316 Loss_D_fake 0.006499
[1378/5000][485/535][142237] Loss_D: -0.019687 Loss_G: 0.024282 Loss_D_real: -0.023908 Loss_D_fake -0.004222
[1378/5000][490/535][142238] Loss_D: -0.018585 Loss_G: 0.023714 Loss_D_real: -0.036440 Loss_D_fake -0.017854
[1378/5000][495/535][142239] Loss_D: -0.019568 Loss_G: -0.013728 Loss_D_real: -0.011817 Loss_D_fake 0.007751
[1378/5000][500/535][142240] Loss_D: -0.019358 Loss_G: 0.006238 Loss_D_real: -0.023987 Loss_D_fake -0.004630
[1378/5000][505/535][142241] Loss_D: -0.020074 Loss_G: 0.009841 Loss_D_real: -0.009093 Loss_D_fake 0.010981
[1378/5000][510/535][142242] Loss_D: -0.020880 Loss_G: 0.025617 Loss_D_real: -0.027776 Loss_D_fake -0.006896
[1378/5000][515/535][142243] Loss_D: -0.020678 Loss_G: 0.026403 Loss_D_real: -0.011906 Loss_D_fake 0.008773
[1378/5000][520/535][142244] Loss_D: -0.020078 Loss_G: -0.006488 Loss_D_real: -0.009901 Loss_D_fake 0.010177
[1378/5000][525/535][142245] Loss_D: -0.019692 Loss_G: 0.007662 Loss_D_real: -0.022977 Loss_D_fake -0.003285
[1378/5000][530/535][142246] Loss_D: -0.018937 Loss_G: 0.010527 Loss_D_real: -0.020744 Loss_D_fake -0.001806
[1378/5000][535/535][142247] Loss_D: -0.016633 Loss_G: 0.015202 Loss_D_real: -0.031235 Loss_D_fake -0.014602
[1379/5000][5/535][142248] Loss_D: -0.020750 Loss_G: -0.000106 Loss_D_real: -0.017822 Loss_D_fake 0.002927
[1379/5000][10/535][142249] Loss_D: -0.019091 Loss_G: 0.003048 Loss_D_real: -0.013242 Loss_D_fake 0.005849
[1379/5000][15/535][142250] Loss_D: -0.019333 Loss_G: 0.021521 Loss_D_real: -0.021117 Loss_D_fake -0.001784
[1379/5000][20/535][142251] Loss_D: -0.021132 Loss_G: 0.005706 Loss_D_real: -0.009481 Loss_D_fake 0.011650
[1379/5000][25/535][142252] Loss_D: -0.019475 Loss_G: 0.004286 Loss_D_real: -0.015471 Loss_D_fake 0.004004
[1379/5000][30/535][142253] Loss_D: -0.018809 Loss_G: 0.016006 Loss_D_real: -0.023285 Loss_D_fake -0.004476
[1379/5000][35/535][142254] Loss_D: -0.019945 Loss_G: 0.001634 Loss_D_real: -0.007119 Loss_D_fake 0.012827
[1379/5000][40/535][142255] Loss_D: -0.019804 Loss_G: 0.010846 Loss_D_real: -0.014457 Loss_D_fake 0.005347
[1379/5000][45/535][142256] Loss_D: -0.020876 Loss_G: -0.000984 Loss_D_real: -0.018756 Loss_D_fake 0.002119
[1379/5000][50/535][142257] Loss_D: -0.019014 Loss_G: -0.001904 Loss_D_real: -0.010129 Loss_D_fake 0.008885
[1379/5000][55/535][142258] Loss_D: -0.019380 Loss_G: 0.017587 Loss_D_real: -0.015292 Loss_D_fake 0.004088
[1379/5000][60/535][142259] Loss_D: -0.019986 Loss_G: 0.022351 Loss_D_real: -0.030057 Loss_D_fake -0.010071
[1379/5000][65/535][142260] Loss_D: -0.020658 Loss_G: -0.008017 Loss_D_real: -0.006391 Loss_D_fake 0.014267
[1379/5000][70/535][142261] Loss_D: -0.018811 Loss_G: -0.019365 Loss_D_real: 0.014868 Loss_D_fake 0.033680
[1379/5000][75/535][142262] Loss_D: -0.019732 Loss_G: 0.008112 Loss_D_real: -0.024579 Loss_D_fake -0.004847
[1379/5000][80/535][142263] Loss_D: -0.020652 Loss_G: 0.000455 Loss_D_real: -0.021677 Loss_D_fake -0.001026
[1379/5000][85/535][142264] Loss_D: -0.020470 Loss_G: 0.019823 Loss_D_real: -0.035578 Loss_D_fake -0.015107
[1379/5000][90/535][142265] Loss_D: -0.019014 Loss_G: -0.000277 Loss_D_real: -0.007072 Loss_D_fake 0.011942
[1379/5000][95/535][142266] Loss_D: -0.021026 Loss_G: -0.004187 Loss_D_real: -0.003047 Loss_D_fake 0.017979
[1379/5000][100/535][142267] Loss_D: -0.018319 Loss_G: 0.001771 Loss_D_real: -0.003665 Loss_D_fake 0.014654
[1379/5000][105/535][142268] Loss_D: -0.019969 Loss_G: 0.008511 Loss_D_real: -0.016765 Loss_D_fake 0.003204
[1379/5000][110/535][142269] Loss_D: -0.019861 Loss_G: -0.020479 Loss_D_real: -0.007165 Loss_D_fake 0.012696
[1379/5000][115/535][142270] Loss_D: -0.019622 Loss_G: 0.015658 Loss_D_real: -0.026128 Loss_D_fake -0.006506
[1379/5000][120/535][142271] Loss_D: -0.019437 Loss_G: 0.013404 Loss_D_real: -0.019443 Loss_D_fake -0.000007
[1379/5000][125/535][142272] Loss_D: -0.021246 Loss_G: 0.007446 Loss_D_real: -0.010791 Loss_D_fake 0.010455
[1379/5000][130/535][142273] Loss_D: -0.020229 Loss_G: 0.009781 Loss_D_real: -0.008288 Loss_D_fake 0.011941
[1379/5000][135/535][142274] Loss_D: -0.019460 Loss_G: 0.010151 Loss_D_real: -0.034205 Loss_D_fake -0.014745
[1379/5000][140/535][142275] Loss_D: -0.020587 Loss_G: 0.010785 Loss_D_real: -0.021507 Loss_D_fake -0.000920
[1379/5000][145/535][142276] Loss_D: -0.019977 Loss_G: -0.000838 Loss_D_real: -0.019283 Loss_D_fake 0.000694
[1379/5000][150/535][142277] Loss_D: -0.019537 Loss_G: 0.007070 Loss_D_real: -0.018632 Loss_D_fake 0.000905
[1379/5000][155/535][142278] Loss_D: -0.019823 Loss_G: -0.007768 Loss_D_real: -0.019845 Loss_D_fake -0.000022
[1379/5000][160/535][142279] Loss_D: -0.020309 Loss_G: 0.012633 Loss_D_real: -0.025163 Loss_D_fake -0.004854
[1379/5000][165/535][142280] Loss_D: -0.021344 Loss_G: 0.016925 Loss_D_real: -0.018636 Loss_D_fake 0.002707
[1379/5000][170/535][142281] Loss_D: -0.020245 Loss_G: -0.003785 Loss_D_real: -0.019360 Loss_D_fake 0.000886
[1379/5000][175/535][142282] Loss_D: -0.020575 Loss_G: 0.009183 Loss_D_real: -0.015454 Loss_D_fake 0.005121
[1379/5000][180/535][142283] Loss_D: -0.019989 Loss_G: 0.006739 Loss_D_real: -0.027442 Loss_D_fake -0.007453
[1379/5000][185/535][142284] Loss_D: -0.018785 Loss_G: -0.012053 Loss_D_real: -0.004341 Loss_D_fake 0.014444
[1379/5000][190/535][142285] Loss_D: -0.020470 Loss_G: 0.009370 Loss_D_real: 0.003907 Loss_D_fake 0.024377
[1379/5000][195/535][142286] Loss_D: -0.019930 Loss_G: 0.020803 Loss_D_real: -0.025670 Loss_D_fake -0.005740
[1379/5000][200/535][142287] Loss_D: -0.019476 Loss_G: 0.009458 Loss_D_real: -0.026691 Loss_D_fake -0.007215
[1379/5000][205/535][142288] Loss_D: -0.020949 Loss_G: -0.008927 Loss_D_real: -0.016502 Loss_D_fake 0.004447
[1379/5000][210/535][142289] Loss_D: -0.019654 Loss_G: 0.016452 Loss_D_real: -0.033296 Loss_D_fake -0.013642
[1379/5000][215/535][142290] Loss_D: -0.018851 Loss_G: 0.016839 Loss_D_real: -0.028316 Loss_D_fake -0.009465
[1379/5000][220/535][142291] Loss_D: -0.020142 Loss_G: 0.005523 Loss_D_real: -0.013596 Loss_D_fake 0.006545
[1379/5000][225/535][142292] Loss_D: -0.020136 Loss_G: 0.012324 Loss_D_real: -0.025503 Loss_D_fake -0.005367
[1379/5000][230/535][142293] Loss_D: -0.019529 Loss_G: -0.005357 Loss_D_real: -0.014803 Loss_D_fake 0.004726
[1379/5000][235/535][142294] Loss_D: -0.019947 Loss_G: -0.005308 Loss_D_real: -0.017660 Loss_D_fake 0.002287
[1379/5000][240/535][142295] Loss_D: -0.020025 Loss_G: 0.029726 Loss_D_real: -0.013395 Loss_D_fake 0.006631
[1379/5000][245/535][142296] Loss_D: -0.020226 Loss_G: 0.000315 Loss_D_real: -0.008032 Loss_D_fake 0.012194
[1379/5000][250/535][142297] Loss_D: -0.019560 Loss_G: 0.012983 Loss_D_real: -0.018278 Loss_D_fake 0.001282
[1379/5000][255/535][142298] Loss_D: -0.019624 Loss_G: -0.004611 Loss_D_real: -0.016280 Loss_D_fake 0.003344
[1379/5000][260/535][142299] Loss_D: -0.020637 Loss_G: 0.011453 Loss_D_real: -0.017867 Loss_D_fake 0.002769
[1379/5000][265/535][142300] Loss_D: -0.019333 Loss_G: 0.012145 Loss_D_real: -0.011851 Loss_D_fake 0.007482
[1379/5000][270/535][142301] Loss_D: -0.020299 Loss_G: 0.000744 Loss_D_real: -0.017141 Loss_D_fake 0.003158
[1379/5000][275/535][142302] Loss_D: -0.019122 Loss_G: -0.004138 Loss_D_real: -0.006615 Loss_D_fake 0.012507
[1379/5000][280/535][142303] Loss_D: -0.019061 Loss_G: -0.012107 Loss_D_real: -0.006273 Loss_D_fake 0.012788
[1379/5000][285/535][142304] Loss_D: -0.018893 Loss_G: 0.024333 Loss_D_real: -0.021317 Loss_D_fake -0.002425
[1379/5000][290/535][142305] Loss_D: -0.020260 Loss_G: 0.007296 Loss_D_real: -0.011262 Loss_D_fake 0.008997
[1379/5000][295/535][142306] Loss_D: -0.020269 Loss_G: 0.005759 Loss_D_real: -0.020882 Loss_D_fake -0.000613
[1379/5000][300/535][142307] Loss_D: -0.019373 Loss_G: 0.019351 Loss_D_real: -0.030055 Loss_D_fake -0.010682
[1379/5000][305/535][142308] Loss_D: -0.019543 Loss_G: 0.021861 Loss_D_real: -0.021534 Loss_D_fake -0.001991
[1379/5000][310/535][142309] Loss_D: -0.020635 Loss_G: -0.000114 Loss_D_real: -0.022732 Loss_D_fake -0.002097
[1379/5000][315/535][142310] Loss_D: -0.020239 Loss_G: -0.016851 Loss_D_real: -0.010313 Loss_D_fake 0.009926
[1379/5000][320/535][142311] Loss_D: -0.020192 Loss_G: 0.014442 Loss_D_real: -0.023506 Loss_D_fake -0.003314
[1379/5000][325/535][142312] Loss_D: -0.021140 Loss_G: 0.005509 Loss_D_real: -0.025455 Loss_D_fake -0.004315
[1379/5000][330/535][142313] Loss_D: -0.019878 Loss_G: 0.020019 Loss_D_real: -0.021359 Loss_D_fake -0.001481
[1379/5000][335/535][142314] Loss_D: -0.020579 Loss_G: 0.002457 Loss_D_real: -0.008848 Loss_D_fake 0.011731
[1379/5000][340/535][142315] Loss_D: -0.019616 Loss_G: -0.002764 Loss_D_real: -0.017998 Loss_D_fake 0.001619
[1379/5000][345/535][142316] Loss_D: -0.020787 Loss_G: 0.001147 Loss_D_real: -0.010503 Loss_D_fake 0.010284
[1379/5000][350/535][142317] Loss_D: -0.020559 Loss_G: 0.014762 Loss_D_real: -0.016317 Loss_D_fake 0.004241
[1379/5000][355/535][142318] Loss_D: -0.020916 Loss_G: 0.004865 Loss_D_real: -0.013651 Loss_D_fake 0.007265
[1379/5000][360/535][142319] Loss_D: -0.021272 Loss_G: 0.020908 Loss_D_real: -0.026919 Loss_D_fake -0.005647
[1379/5000][365/535][142320] Loss_D: -0.019435 Loss_G: 0.011693 Loss_D_real: -0.016254 Loss_D_fake 0.003180
[1379/5000][370/535][142321] Loss_D: -0.019747 Loss_G: 0.005342 Loss_D_real: -0.027073 Loss_D_fake -0.007326
[1379/5000][375/535][142322] Loss_D: -0.019865 Loss_G: -0.000443 Loss_D_real: -0.014906 Loss_D_fake 0.004959
[1379/5000][380/535][142323] Loss_D: -0.021091 Loss_G: 0.009342 Loss_D_real: -0.006373 Loss_D_fake 0.014718
[1379/5000][385/535][142324] Loss_D: -0.021436 Loss_G: 0.003743 Loss_D_real: -0.015144 Loss_D_fake 0.006292
[1379/5000][390/535][142325] Loss_D: -0.019366 Loss_G: 0.026716 Loss_D_real: -0.033835 Loss_D_fake -0.014469
[1379/5000][395/535][142326] Loss_D: -0.019805 Loss_G: -0.004342 Loss_D_real: -0.022522 Loss_D_fake -0.002716
[1379/5000][400/535][142327] Loss_D: -0.020679 Loss_G: -0.001221 Loss_D_real: -0.018816 Loss_D_fake 0.001863
[1379/5000][405/535][142328] Loss_D: -0.021020 Loss_G: 0.011553 Loss_D_real: -0.017789 Loss_D_fake 0.003232
[1379/5000][410/535][142329] Loss_D: -0.021430 Loss_G: 0.021827 Loss_D_real: -0.020474 Loss_D_fake 0.000956
[1379/5000][415/535][142330] Loss_D: -0.020413 Loss_G: 0.005397 Loss_D_real: -0.007379 Loss_D_fake 0.013034
[1379/5000][420/535][142331] Loss_D: -0.020719 Loss_G: 0.015306 Loss_D_real: -0.020795 Loss_D_fake -0.000076
[1379/5000][425/535][142332] Loss_D: -0.019893 Loss_G: -0.014455 Loss_D_real: -0.008597 Loss_D_fake 0.011296
[1379/5000][430/535][142333] Loss_D: -0.019745 Loss_G: 0.002926 Loss_D_real: -0.015343 Loss_D_fake 0.004402
[1379/5000][435/535][142334] Loss_D: -0.018366 Loss_G: -0.008961 Loss_D_real: -0.013594 Loss_D_fake 0.004772
[1379/5000][440/535][142335] Loss_D: -0.019758 Loss_G: 0.000132 Loss_D_real: -0.010236 Loss_D_fake 0.009523
[1379/5000][445/535][142336] Loss_D: -0.018951 Loss_G: 0.003040 Loss_D_real: -0.020373 Loss_D_fake -0.001422
[1379/5000][450/535][142337] Loss_D: -0.020248 Loss_G: 0.011085 Loss_D_real: -0.015687 Loss_D_fake 0.004561
[1379/5000][455/535][142338] Loss_D: -0.019607 Loss_G: 0.021336 Loss_D_real: -0.024899 Loss_D_fake -0.005291
[1379/5000][460/535][142339] Loss_D: -0.019558 Loss_G: -0.008655 Loss_D_real: -0.003387 Loss_D_fake 0.016171
[1379/5000][465/535][142340] Loss_D: -0.019636 Loss_G: 0.005540 Loss_D_real: -0.012064 Loss_D_fake 0.007573
[1379/5000][470/535][142341] Loss_D: -0.019414 Loss_G: -0.019461 Loss_D_real: -0.010765 Loss_D_fake 0.008650
[1379/5000][475/535][142342] Loss_D: -0.018473 Loss_G: 0.000736 Loss_D_real: -0.012744 Loss_D_fake 0.005729
[1379/5000][480/535][142343] Loss_D: -0.019699 Loss_G: 0.013174 Loss_D_real: -0.010634 Loss_D_fake 0.009065
[1379/5000][485/535][142344] Loss_D: -0.019962 Loss_G: 0.003855 Loss_D_real: -0.016987 Loss_D_fake 0.002975
[1379/5000][490/535][142345] Loss_D: -0.019337 Loss_G: 0.024496 Loss_D_real: -0.034882 Loss_D_fake -0.015544
[1379/5000][495/535][142346] Loss_D: -0.020167 Loss_G: -0.005774 Loss_D_real: -0.012351 Loss_D_fake 0.007816
[1379/5000][500/535][142347] Loss_D: -0.018981 Loss_G: -0.000966 Loss_D_real: -0.008565 Loss_D_fake 0.010415
[1379/5000][505/535][142348] Loss_D: -0.019744 Loss_G: 0.000115 Loss_D_real: -0.010028 Loss_D_fake 0.009716
[1379/5000][510/535][142349] Loss_D: -0.018963 Loss_G: 0.013243 Loss_D_real: -0.020122 Loss_D_fake -0.001159
[1379/5000][515/535][142350] Loss_D: -0.018828 Loss_G: 0.005280 Loss_D_real: -0.010813 Loss_D_fake 0.008015
[1379/5000][520/535][142351] Loss_D: -0.020214 Loss_G: 0.017374 Loss_D_real: -0.031861 Loss_D_fake -0.011647
[1379/5000][525/535][142352] Loss_D: -0.019075 Loss_G: 0.022987 Loss_D_real: -0.036305 Loss_D_fake -0.017230
[1379/5000][530/535][142353] Loss_D: -0.020049 Loss_G: 0.020321 Loss_D_real: -0.024794 Loss_D_fake -0.004744
[1379/5000][535/535][142354] Loss_D: -0.022340 Loss_G: 0.028678 Loss_D_real: -0.026583 Loss_D_fake -0.004243
[1380/5000][5/535][142355] Loss_D: -0.020090 Loss_G: -0.001182 Loss_D_real: -0.022893 Loss_D_fake -0.002803
[1380/5000][10/535][142356] Loss_D: -0.018756 Loss_G: 0.013377 Loss_D_real: -0.012470 Loss_D_fake 0.006287
[1380/5000][15/535][142357] Loss_D: -0.020016 Loss_G: 0.005376 Loss_D_real: -0.010863 Loss_D_fake 0.009153
[1380/5000][20/535][142358] Loss_D: -0.019334 Loss_G: 0.006483 Loss_D_real: -0.021954 Loss_D_fake -0.002620
[1380/5000][25/535][142359] Loss_D: -0.020108 Loss_G: 0.025043 Loss_D_real: -0.023044 Loss_D_fake -0.002936
[1380/5000][30/535][142360] Loss_D: -0.018909 Loss_G: -0.001255 Loss_D_real: -0.016865 Loss_D_fake 0.002044
[1380/5000][35/535][142361] Loss_D: -0.018987 Loss_G: 0.017330 Loss_D_real: -0.025845 Loss_D_fake -0.006858
[1380/5000][40/535][142362] Loss_D: -0.019887 Loss_G: -0.010148 Loss_D_real: -0.011290 Loss_D_fake 0.008597
[1380/5000][45/535][142363] Loss_D: -0.019260 Loss_G: -0.015795 Loss_D_real: -0.019119 Loss_D_fake 0.000141
[1380/5000][50/535][142364] Loss_D: -0.020432 Loss_G: 0.005138 Loss_D_real: -0.012627 Loss_D_fake 0.007804
[1380/5000][55/535][142365] Loss_D: -0.021100 Loss_G: 0.020843 Loss_D_real: -0.012048 Loss_D_fake 0.009052
[1380/5000][60/535][142366] Loss_D: -0.020812 Loss_G: 0.004871 Loss_D_real: -0.010868 Loss_D_fake 0.009944
[1380/5000][65/535][142367] Loss_D: -0.020386 Loss_G: 0.006340 Loss_D_real: -0.024615 Loss_D_fake -0.004229
[1380/5000][70/535][142368] Loss_D: -0.019380 Loss_G: 0.024726 Loss_D_real: -0.026796 Loss_D_fake -0.007417
[1380/5000][75/535][142369] Loss_D: -0.020101 Loss_G: -0.003674 Loss_D_real: -0.015954 Loss_D_fake 0.004147
[1380/5000][80/535][142370] Loss_D: -0.019330 Loss_G: 0.015440 Loss_D_real: -0.020490 Loss_D_fake -0.001160
[1380/5000][85/535][142371] Loss_D: -0.020395 Loss_G: 0.017745 Loss_D_real: -0.033297 Loss_D_fake -0.012902
[1380/5000][90/535][142372] Loss_D: -0.018602 Loss_G: 0.016582 Loss_D_real: -0.026612 Loss_D_fake -0.008011
[1380/5000][95/535][142373] Loss_D: -0.020119 Loss_G: -0.001861 Loss_D_real: -0.020977 Loss_D_fake -0.000858
[1380/5000][100/535][142374] Loss_D: -0.020095 Loss_G: 0.005319 Loss_D_real: -0.022870 Loss_D_fake -0.002776
[1380/5000][105/535][142375] Loss_D: -0.020192 Loss_G: 0.006732 Loss_D_real: -0.013605 Loss_D_fake 0.006587
[1380/5000][110/535][142376] Loss_D: -0.019571 Loss_G: 0.001793 Loss_D_real: -0.022859 Loss_D_fake -0.003287
[1380/5000][115/535][142377] Loss_D: -0.019422 Loss_G: 0.013950 Loss_D_real: -0.017716 Loss_D_fake 0.001706
[1380/5000][120/535][142378] Loss_D: -0.019437 Loss_G: -0.007602 Loss_D_real: -0.004103 Loss_D_fake 0.015334
[1380/5000][125/535][142379] Loss_D: -0.018969 Loss_G: 0.013936 Loss_D_real: -0.020795 Loss_D_fake -0.001826
[1380/5000][130/535][142380] Loss_D: -0.020117 Loss_G: 0.024115 Loss_D_real: -0.026263 Loss_D_fake -0.006146
[1380/5000][135/535][142381] Loss_D: -0.020727 Loss_G: -0.004853 Loss_D_real: -0.005292 Loss_D_fake 0.015435
[1380/5000][140/535][142382] Loss_D: -0.019651 Loss_G: -0.007856 Loss_D_real: -0.021835 Loss_D_fake -0.002185
[1380/5000][145/535][142383] Loss_D: -0.019746 Loss_G: 0.006379 Loss_D_real: -0.030017 Loss_D_fake -0.010271
[1380/5000][150/535][142384] Loss_D: -0.020633 Loss_G: -0.003743 Loss_D_real: -0.019921 Loss_D_fake 0.000712
[1380/5000][155/535][142385] Loss_D: -0.019005 Loss_G: 0.002615 Loss_D_real: -0.003079 Loss_D_fake 0.015926
[1380/5000][160/535][142386] Loss_D: -0.021329 Loss_G: 0.009238 Loss_D_real: -0.017056 Loss_D_fake 0.004273
[1380/5000][165/535][142387] Loss_D: -0.019718 Loss_G: 0.011735 Loss_D_real: -0.019038 Loss_D_fake 0.000679
[1380/5000][170/535][142388] Loss_D: -0.019975 Loss_G: -0.003306 Loss_D_real: -0.003378 Loss_D_fake 0.016596
[1380/5000][175/535][142389] Loss_D: -0.019839 Loss_G: 0.020420 Loss_D_real: -0.026143 Loss_D_fake -0.006303
[1380/5000][180/535][142390] Loss_D: -0.020130 Loss_G: 0.012969 Loss_D_real: -0.011744 Loss_D_fake 0.008386
[1380/5000][185/535][142391] Loss_D: -0.019003 Loss_G: -0.007990 Loss_D_real: 0.003084 Loss_D_fake 0.022087
[1380/5000][190/535][142392] Loss_D: -0.019098 Loss_G: 0.013877 Loss_D_real: -0.025220 Loss_D_fake -0.006122
[1380/5000][195/535][142393] Loss_D: -0.018028 Loss_G: 0.025636 Loss_D_real: -0.031014 Loss_D_fake -0.012986
[1380/5000][200/535][142394] Loss_D: -0.019894 Loss_G: 0.014753 Loss_D_real: -0.016863 Loss_D_fake 0.003030
[1380/5000][205/535][142395] Loss_D: -0.021352 Loss_G: -0.003971 Loss_D_real: -0.020718 Loss_D_fake 0.000634
[1380/5000][210/535][142396] Loss_D: -0.019985 Loss_G: 0.001219 Loss_D_real: -0.004588 Loss_D_fake 0.015397
[1380/5000][215/535][142397] Loss_D: -0.020090 Loss_G: 0.006337 Loss_D_real: -0.025836 Loss_D_fake -0.005746
[1380/5000][220/535][142398] Loss_D: -0.020909 Loss_G: -0.001554 Loss_D_real: 0.002216 Loss_D_fake 0.023124
[1380/5000][225/535][142399] Loss_D: -0.020130 Loss_G: -0.026081 Loss_D_real: 0.002509 Loss_D_fake 0.022639
[1380/5000][230/535][142400] Loss_D: -0.019268 Loss_G: 0.016831 Loss_D_real: -0.019689 Loss_D_fake -0.000422
[1380/5000][235/535][142401] Loss_D: -0.020027 Loss_G: -0.012011 Loss_D_real: -0.017499 Loss_D_fake 0.002528
[1380/5000][240/535][142402] Loss_D: -0.019115 Loss_G: 0.007380 Loss_D_real: -0.021053 Loss_D_fake -0.001939
[1380/5000][245/535][142403] Loss_D: -0.018614 Loss_G: 0.022565 Loss_D_real: -0.031111 Loss_D_fake -0.012497
[1380/5000][250/535][142404] Loss_D: -0.018924 Loss_G: -0.006641 Loss_D_real: -0.014065 Loss_D_fake 0.004859
[1380/5000][255/535][142405] Loss_D: -0.019862 Loss_G: 0.020068 Loss_D_real: -0.011488 Loss_D_fake 0.008374
[1380/5000][260/535][142406] Loss_D: -0.019434 Loss_G: -0.005950 Loss_D_real: -0.010649 Loss_D_fake 0.008785
[1380/5000][265/535][142407] Loss_D: -0.019399 Loss_G: 0.008948 Loss_D_real: -0.005183 Loss_D_fake 0.014216
[1380/5000][270/535][142408] Loss_D: -0.019429 Loss_G: 0.001252 Loss_D_real: -0.012316 Loss_D_fake 0.007114
[1380/5000][275/535][142409] Loss_D: -0.019706 Loss_G: 0.024301 Loss_D_real: -0.018680 Loss_D_fake 0.001026
[1380/5000][280/535][142410] Loss_D: -0.019765 Loss_G: 0.007961 Loss_D_real: -0.010184 Loss_D_fake 0.009581
[1380/5000][285/535][142411] Loss_D: -0.018960 Loss_G: 0.029230 Loss_D_real: -0.016119 Loss_D_fake 0.002841
[1380/5000][290/535][142412] Loss_D: -0.019228 Loss_G: -0.008966 Loss_D_real: -0.002487 Loss_D_fake 0.016742
[1380/5000][295/535][142413] Loss_D: -0.020231 Loss_G: 0.006104 Loss_D_real: -0.015796 Loss_D_fake 0.004435
[1380/5000][300/535][142414] Loss_D: -0.018932 Loss_G: 0.007938 Loss_D_real: -0.007226 Loss_D_fake 0.011705
[1380/5000][305/535][142415] Loss_D: -0.020162 Loss_G: 0.014271 Loss_D_real: -0.011662 Loss_D_fake 0.008499
[1380/5000][310/535][142416] Loss_D: -0.019023 Loss_G: 0.021553 Loss_D_real: -0.031673 Loss_D_fake -0.012650
[1380/5000][315/535][142417] Loss_D: -0.019662 Loss_G: 0.000606 Loss_D_real: -0.014232 Loss_D_fake 0.005431
[1380/5000][320/535][142418] Loss_D: -0.020577 Loss_G: -0.001329 Loss_D_real: -0.002586 Loss_D_fake 0.017991
[1380/5000][325/535][142419] Loss_D: -0.020248 Loss_G: -0.006056 Loss_D_real: -0.007364 Loss_D_fake 0.012884
[1380/5000][330/535][142420] Loss_D: -0.020105 Loss_G: 0.022941 Loss_D_real: -0.015930 Loss_D_fake 0.004175
[1380/5000][335/535][142421] Loss_D: -0.019558 Loss_G: 0.014748 Loss_D_real: -0.017674 Loss_D_fake 0.001884
[1380/5000][340/535][142422] Loss_D: -0.020507 Loss_G: -0.010481 Loss_D_real: 0.003412 Loss_D_fake 0.023919
[1380/5000][345/535][142423] Loss_D: -0.020936 Loss_G: 0.003846 Loss_D_real: -0.022917 Loss_D_fake -0.001981
[1380/5000][350/535][142424] Loss_D: -0.019372 Loss_G: 0.004804 Loss_D_real: 0.003453 Loss_D_fake 0.022825
[1380/5000][355/535][142425] Loss_D: -0.017416 Loss_G: 0.027731 Loss_D_real: -0.030018 Loss_D_fake -0.012602
[1380/5000][360/535][142426] Loss_D: -0.019587 Loss_G: 0.014919 Loss_D_real: -0.035701 Loss_D_fake -0.016115
[1380/5000][365/535][142427] Loss_D: -0.020050 Loss_G: -0.015529 Loss_D_real: -0.003414 Loss_D_fake 0.016636
[1380/5000][370/535][142428] Loss_D: -0.019810 Loss_G: 0.008780 Loss_D_real: -0.023749 Loss_D_fake -0.003939
[1380/5000][375/535][142429] Loss_D: -0.019753 Loss_G: -0.008995 Loss_D_real: -0.017995 Loss_D_fake 0.001758
[1380/5000][380/535][142430] Loss_D: -0.020326 Loss_G: 0.008289 Loss_D_real: -0.013068 Loss_D_fake 0.007258
[1380/5000][385/535][142431] Loss_D: -0.019966 Loss_G: 0.011082 Loss_D_real: -0.016995 Loss_D_fake 0.002971
[1380/5000][390/535][142432] Loss_D: -0.021167 Loss_G: 0.005611 Loss_D_real: -0.014576 Loss_D_fake 0.006592
[1380/5000][395/535][142433] Loss_D: -0.021664 Loss_G: -0.003892 Loss_D_real: -0.006053 Loss_D_fake 0.015611
[1380/5000][400/535][142434] Loss_D: -0.021631 Loss_G: -0.009505 Loss_D_real: -0.011576 Loss_D_fake 0.010055
[1380/5000][405/535][142435] Loss_D: -0.018877 Loss_G: 0.020328 Loss_D_real: -0.024935 Loss_D_fake -0.006058
[1380/5000][410/535][142436] Loss_D: -0.020785 Loss_G: 0.012501 Loss_D_real: -0.024824 Loss_D_fake -0.004040
[1380/5000][415/535][142437] Loss_D: -0.019397 Loss_G: -0.015049 Loss_D_real: 0.000019 Loss_D_fake 0.019415
[1380/5000][420/535][142438] Loss_D: -0.019329 Loss_G: 0.014147 Loss_D_real: -0.025238 Loss_D_fake -0.005910
[1380/5000][425/535][142439] Loss_D: -0.019679 Loss_G: -0.004405 Loss_D_real: -0.035018 Loss_D_fake -0.015339
[1380/5000][430/535][142440] Loss_D: -0.019266 Loss_G: -0.010107 Loss_D_real: -0.008067 Loss_D_fake 0.011199
[1380/5000][435/535][142441] Loss_D: -0.019595 Loss_G: -0.000284 Loss_D_real: -0.008688 Loss_D_fake 0.010907
[1380/5000][440/535][142442] Loss_D: -0.019430 Loss_G: -0.000687 Loss_D_real: -0.006619 Loss_D_fake 0.012811
[1380/5000][445/535][142443] Loss_D: -0.020399 Loss_G: 0.009124 Loss_D_real: -0.011974 Loss_D_fake 0.008425
[1380/5000][450/535][142444] Loss_D: -0.019946 Loss_G: 0.000759 Loss_D_real: -0.016759 Loss_D_fake 0.003187
[1380/5000][455/535][142445] Loss_D: -0.018717 Loss_G: -0.015207 Loss_D_real: 0.005347 Loss_D_fake 0.024064
[1380/5000][460/535][142446] Loss_D: -0.019854 Loss_G: 0.009023 Loss_D_real: -0.012100 Loss_D_fake 0.007754
[1380/5000][465/535][142447] Loss_D: -0.019191 Loss_G: -0.007287 Loss_D_real: -0.000985 Loss_D_fake 0.018206
[1380/5000][470/535][142448] Loss_D: -0.018619 Loss_G: 0.006457 Loss_D_real: -0.025854 Loss_D_fake -0.007235
[1380/5000][475/535][142449] Loss_D: -0.018584 Loss_G: 0.029838 Loss_D_real: -0.031027 Loss_D_fake -0.012444
[1380/5000][480/535][142450] Loss_D: -0.020156 Loss_G: -0.000276 Loss_D_real: -0.013996 Loss_D_fake 0.006160
[1380/5000][485/535][142451] Loss_D: -0.019111 Loss_G: 0.034790 Loss_D_real: -0.029594 Loss_D_fake -0.010484
[1380/5000][490/535][142452] Loss_D: -0.020275 Loss_G: 0.008696 Loss_D_real: -0.025061 Loss_D_fake -0.004786
[1380/5000][495/535][142453] Loss_D: -0.019035 Loss_G: 0.004080 Loss_D_real: -0.016878 Loss_D_fake 0.002157
[1380/5000][500/535][142454] Loss_D: -0.021500 Loss_G: -0.000178 Loss_D_real: -0.008392 Loss_D_fake 0.013109
[1380/5000][505/535][142455] Loss_D: -0.018206 Loss_G: -0.004975 Loss_D_real: -0.003332 Loss_D_fake 0.014874
[1380/5000][510/535][142456] Loss_D: -0.019959 Loss_G: 0.013942 Loss_D_real: -0.018342 Loss_D_fake 0.001617
[1380/5000][515/535][142457] Loss_D: -0.020820 Loss_G: 0.003740 Loss_D_real: -0.010779 Loss_D_fake 0.010042
[1380/5000][520/535][142458] Loss_D: -0.018822 Loss_G: 0.020901 Loss_D_real: -0.033522 Loss_D_fake -0.014700
[1380/5000][525/535][142459] Loss_D: -0.020807 Loss_G: 0.000983 Loss_D_real: -0.023132 Loss_D_fake -0.002325
[1380/5000][530/535][142460] Loss_D: -0.019958 Loss_G: 0.005659 Loss_D_real: -0.009376 Loss_D_fake 0.010582
[1380/5000][535/535][142461] Loss_D: -0.017740 Loss_G: 0.023428 Loss_D_real: -0.014614 Loss_D_fake 0.003126
[1381/5000][5/535][142462] Loss_D: -0.019942 Loss_G: -0.005325 Loss_D_real: -0.019313 Loss_D_fake 0.000629
[1381/5000][10/535][142463] Loss_D: -0.019681 Loss_G: -0.008732 Loss_D_real: -0.013187 Loss_D_fake 0.006494
[1381/5000][15/535][142464] Loss_D: -0.021035 Loss_G: 0.004628 Loss_D_real: -0.018922 Loss_D_fake 0.002113
[1381/5000][20/535][142465] Loss_D: -0.018978 Loss_G: 0.027132 Loss_D_real: -0.020729 Loss_D_fake -0.001751
[1381/5000][25/535][142466] Loss_D: -0.020729 Loss_G: 0.011382 Loss_D_real: -0.024250 Loss_D_fake -0.003522
[1381/5000][30/535][142467] Loss_D: -0.020901 Loss_G: 0.014245 Loss_D_real: -0.016781 Loss_D_fake 0.004120
[1381/5000][35/535][142468] Loss_D: -0.018640 Loss_G: -0.000845 Loss_D_real: -0.006088 Loss_D_fake 0.012552
[1381/5000][40/535][142469] Loss_D: -0.019221 Loss_G: 0.002957 Loss_D_real: -0.015788 Loss_D_fake 0.003433
[1381/5000][45/535][142470] Loss_D: -0.019189 Loss_G: 0.005654 Loss_D_real: -0.026919 Loss_D_fake -0.007730
[1381/5000][50/535][142471] Loss_D: -0.020929 Loss_G: -0.001106 Loss_D_real: -0.011936 Loss_D_fake 0.008993
[1381/5000][55/535][142472] Loss_D: -0.020635 Loss_G: 0.014982 Loss_D_real: -0.018739 Loss_D_fake 0.001896
[1381/5000][60/535][142473] Loss_D: -0.019787 Loss_G: -0.008425 Loss_D_real: -0.003053 Loss_D_fake 0.016733
[1381/5000][65/535][142474] Loss_D: -0.019682 Loss_G: 0.016135 Loss_D_real: -0.021823 Loss_D_fake -0.002141
[1381/5000][70/535][142475] Loss_D: -0.020221 Loss_G: 0.003908 Loss_D_real: -0.018083 Loss_D_fake 0.002138
[1381/5000][75/535][142476] Loss_D: -0.019456 Loss_G: 0.001714 Loss_D_real: 0.001865 Loss_D_fake 0.021321
[1381/5000][80/535][142477] Loss_D: -0.020189 Loss_G: 0.013614 Loss_D_real: -0.012034 Loss_D_fake 0.008155
[1381/5000][85/535][142478] Loss_D: -0.019021 Loss_G: 0.014049 Loss_D_real: -0.021959 Loss_D_fake -0.002939
[1381/5000][90/535][142479] Loss_D: -0.019949 Loss_G: 0.014365 Loss_D_real: -0.036415 Loss_D_fake -0.016466
[1381/5000][95/535][142480] Loss_D: -0.019774 Loss_G: 0.007350 Loss_D_real: -0.010290 Loss_D_fake 0.009483
[1381/5000][100/535][142481] Loss_D: -0.020336 Loss_G: 0.008953 Loss_D_real: -0.015831 Loss_D_fake 0.004505
[1381/5000][105/535][142482] Loss_D: -0.017323 Loss_G: 0.027155 Loss_D_real: -0.034022 Loss_D_fake -0.016699
[1381/5000][110/535][142483] Loss_D: -0.017648 Loss_G: 0.037917 Loss_D_real: -0.029088 Loss_D_fake -0.011440
[1381/5000][115/535][142484] Loss_D: -0.019117 Loss_G: 0.002755 Loss_D_real: -0.023995 Loss_D_fake -0.004878
[1381/5000][120/535][142485] Loss_D: -0.019760 Loss_G: 0.000205 Loss_D_real: -0.024126 Loss_D_fake -0.004366
[1381/5000][125/535][142486] Loss_D: -0.019847 Loss_G: 0.004323 Loss_D_real: -0.009743 Loss_D_fake 0.010104
[1381/5000][130/535][142487] Loss_D: -0.019552 Loss_G: 0.009903 Loss_D_real: -0.029749 Loss_D_fake -0.010197
[1381/5000][135/535][142488] Loss_D: -0.019310 Loss_G: 0.002505 Loss_D_real: -0.024535 Loss_D_fake -0.005225
[1381/5000][140/535][142489] Loss_D: -0.019860 Loss_G: 0.015839 Loss_D_real: -0.029534 Loss_D_fake -0.009674
[1381/5000][145/535][142490] Loss_D: -0.019694 Loss_G: 0.013360 Loss_D_real: -0.011587 Loss_D_fake 0.008107
[1381/5000][150/535][142491] Loss_D: -0.021909 Loss_G: -0.010897 Loss_D_real: -0.018752 Loss_D_fake 0.003157
[1381/5000][155/535][142492] Loss_D: -0.020419 Loss_G: -0.008735 Loss_D_real: -0.001416 Loss_D_fake 0.019003
[1381/5000][160/535][142493] Loss_D: -0.020427 Loss_G: 0.020671 Loss_D_real: -0.023613 Loss_D_fake -0.003186
[1381/5000][165/535][142494] Loss_D: -0.020857 Loss_G: 0.005267 Loss_D_real: -0.014865 Loss_D_fake 0.005993
[1381/5000][170/535][142495] Loss_D: -0.021008 Loss_G: 0.013103 Loss_D_real: -0.024478 Loss_D_fake -0.003470
[1381/5000][175/535][142496] Loss_D: -0.020499 Loss_G: 0.027475 Loss_D_real: -0.023430 Loss_D_fake -0.002931
[1381/5000][180/535][142497] Loss_D: -0.019986 Loss_G: -0.008084 Loss_D_real: 0.001829 Loss_D_fake 0.021815
[1381/5000][185/535][142498] Loss_D: -0.019136 Loss_G: 0.012553 Loss_D_real: -0.025265 Loss_D_fake -0.006129
[1381/5000][190/535][142499] Loss_D: -0.019665 Loss_G: 0.007459 Loss_D_real: -0.016543 Loss_D_fake 0.003122
[1381/5000][195/535][142500] Loss_D: -0.020690 Loss_G: 0.010807 Loss_D_real: -0.016894 Loss_D_fake 0.003796
[1381/5000][295/535][142501] Loss_D: -0.022085 Loss_G: -0.010114 Loss_D_real: 0.001258 Loss_D_fake 0.023344
[1381/5000][300/535][142502] Loss_D: -0.018392 Loss_G: 0.004860 Loss_D_real: -0.015652 Loss_D_fake 0.002740
[1381/5000][305/535][142503] Loss_D: -0.019248 Loss_G: 0.008568 Loss_D_real: -0.020717 Loss_D_fake -0.001469
[1381/5000][310/535][142504] Loss_D: -0.020555 Loss_G: -0.005340 Loss_D_real: -0.002551 Loss_D_fake 0.018004
[1381/5000][315/535][142505] Loss_D: -0.020624 Loss_G: 0.000667 Loss_D_real: -0.018987 Loss_D_fake 0.001637
[1381/5000][320/535][142506] Loss_D: -0.018517 Loss_G: -0.007103 Loss_D_real: -0.009143 Loss_D_fake 0.009374
[1381/5000][325/535][142507] Loss_D: -0.019582 Loss_G: 0.023514 Loss_D_real: -0.014680 Loss_D_fake 0.004902
[1381/5000][330/535][142508] Loss_D: -0.018855 Loss_G: -0.002379 Loss_D_real: -0.007385 Loss_D_fake 0.011470
[1381/5000][335/535][142509] Loss_D: -0.020733 Loss_G: -0.005956 Loss_D_real: -0.011546 Loss_D_fake 0.009187
[1381/5000][340/535][142510] Loss_D: -0.019688 Loss_G: 0.004296 Loss_D_real: -0.012487 Loss_D_fake 0.007201
[1381/5000][345/535][142511] Loss_D: -0.017972 Loss_G: 0.017259 Loss_D_real: -0.025159 Loss_D_fake -0.007187
[1381/5000][350/535][142512] Loss_D: -0.019689 Loss_G: 0.018260 Loss_D_real: -0.020381 Loss_D_fake -0.000692
[1381/5000][355/535][142513] Loss_D: -0.020057 Loss_G: 0.014771 Loss_D_real: -0.016834 Loss_D_fake 0.003223
[1381/5000][360/535][142514] Loss_D: -0.017716 Loss_G: -0.015032 Loss_D_real: 0.007758 Loss_D_fake 0.025475
[1381/5000][365/535][142515] Loss_D: -0.018315 Loss_G: 0.005790 Loss_D_real: -0.021440 Loss_D_fake -0.003125
[1381/5000][370/535][142516] Loss_D: -0.021220 Loss_G: 0.009162 Loss_D_real: -0.025181 Loss_D_fake -0.003961
[1381/5000][375/535][142517] Loss_D: -0.019985 Loss_G: 0.006610 Loss_D_real: -0.022321 Loss_D_fake -0.002336
[1381/5000][380/535][142518] Loss_D: -0.020439 Loss_G: 0.004398 Loss_D_real: -0.008207 Loss_D_fake 0.012232
[1381/5000][385/535][142519] Loss_D: -0.021025 Loss_G: 0.002494 Loss_D_real: -0.009441 Loss_D_fake 0.011584
[1381/5000][390/535][142520] Loss_D: -0.020178 Loss_G: -0.001583 Loss_D_real: -0.018327 Loss_D_fake 0.001850
[1381/5000][395/535][142521] Loss_D: -0.020189 Loss_G: -0.013302 Loss_D_real: -0.003063 Loss_D_fake 0.017126
[1381/5000][400/535][142522] Loss_D: -0.020706 Loss_G: 0.003015 Loss_D_real: -0.020267 Loss_D_fake 0.000438
[1381/5000][405/535][142523] Loss_D: -0.019911 Loss_G: -0.004646 Loss_D_real: -0.015247 Loss_D_fake 0.004664
[1381/5000][410/535][142524] Loss_D: -0.020433 Loss_G: 0.004494 Loss_D_real: -0.014314 Loss_D_fake 0.006120
[1381/5000][415/535][142525] Loss_D: -0.020264 Loss_G: 0.023408 Loss_D_real: -0.026377 Loss_D_fake -0.006113
[1381/5000][420/535][142526] Loss_D: -0.018775 Loss_G: 0.007544 Loss_D_real: -0.031757 Loss_D_fake -0.012981
[1381/5000][425/535][142527] Loss_D: -0.020407 Loss_G: 0.005961 Loss_D_real: -0.012555 Loss_D_fake 0.007852
[1381/5000][430/535][142528] Loss_D: -0.020233 Loss_G: 0.018960 Loss_D_real: -0.023392 Loss_D_fake -0.003159
[1381/5000][435/535][142529] Loss_D: -0.019522 Loss_G: -0.006528 Loss_D_real: -0.008727 Loss_D_fake 0.010796
[1381/5000][440/535][142530] Loss_D: -0.019217 Loss_G: -0.011613 Loss_D_real: -0.000210 Loss_D_fake 0.019007
[1381/5000][445/535][142531] Loss_D: -0.020293 Loss_G: 0.017686 Loss_D_real: -0.023600 Loss_D_fake -0.003307
[1381/5000][450/535][142532] Loss_D: -0.019180 Loss_G: -0.010484 Loss_D_real: -0.008073 Loss_D_fake 0.011107
[1381/5000][455/535][142533] Loss_D: -0.019423 Loss_G: 0.019770 Loss_D_real: -0.018025 Loss_D_fake 0.001398
[1381/5000][460/535][142534] Loss_D: -0.019911 Loss_G: 0.013858 Loss_D_real: -0.020789 Loss_D_fake -0.000878
[1381/5000][465/535][142535] Loss_D: -0.021061 Loss_G: -0.009532 Loss_D_real: -0.017376 Loss_D_fake 0.003684
[1381/5000][470/535][142536] Loss_D: -0.019103 Loss_G: 0.017489 Loss_D_real: -0.027511 Loss_D_fake -0.008408
[1381/5000][475/535][142537] Loss_D: -0.019992 Loss_G: 0.008750 Loss_D_real: -0.026005 Loss_D_fake -0.006014
[1381/5000][480/535][142538] Loss_D: -0.020144 Loss_G: 0.003465 Loss_D_real: -0.002888 Loss_D_fake 0.017256
[1381/5000][485/535][142539] Loss_D: -0.017749 Loss_G: 0.007028 Loss_D_real: -0.009165 Loss_D_fake 0.008584
[1381/5000][490/535][142540] Loss_D: -0.017626 Loss_G: 0.024679 Loss_D_real: -0.032912 Loss_D_fake -0.015287
[1381/5000][495/535][142541] Loss_D: -0.018727 Loss_G: 0.025798 Loss_D_real: -0.034300 Loss_D_fake -0.015574
[1381/5000][500/535][142542] Loss_D: -0.020353 Loss_G: -0.012022 Loss_D_real: -0.012392 Loss_D_fake 0.007961
[1381/5000][505/535][142543] Loss_D: -0.016514 Loss_G: 0.029467 Loss_D_real: -0.035022 Loss_D_fake -0.018507
[1381/5000][510/535][142544] Loss_D: -0.019574 Loss_G: 0.005743 Loss_D_real: -0.010076 Loss_D_fake 0.009498
[1381/5000][515/535][142545] Loss_D: -0.019594 Loss_G: 0.009382 Loss_D_real: -0.018703 Loss_D_fake 0.000891
[1381/5000][520/535][142546] Loss_D: -0.020514 Loss_G: 0.007131 Loss_D_real: -0.011834 Loss_D_fake 0.008680
[1381/5000][525/535][142547] Loss_D: -0.018800 Loss_G: 0.019556 Loss_D_real: -0.020242 Loss_D_fake -0.001442
[1381/5000][530/535][142548] Loss_D: -0.018934 Loss_G: 0.026657 Loss_D_real: -0.016812 Loss_D_fake 0.002122
[1381/5000][535/535][142549] Loss_D: -0.019490 Loss_G: -0.004006 Loss_D_real: -0.020347 Loss_D_fake -0.000857
[1382/5000][5/535][142550] Loss_D: -0.020374 Loss_G: 0.010837 Loss_D_real: -0.024632 Loss_D_fake -0.004258
[1382/5000][10/535][142551] Loss_D: -0.019886 Loss_G: 0.004588 Loss_D_real: -0.020504 Loss_D_fake -0.000619
[1382/5000][15/535][142552] Loss_D: -0.019943 Loss_G: 0.012560 Loss_D_real: -0.024242 Loss_D_fake -0.004299
[1382/5000][20/535][142553] Loss_D: -0.018510 Loss_G: 0.030115 Loss_D_real: -0.030576 Loss_D_fake -0.012066
[1382/5000][25/535][142554] Loss_D: -0.019905 Loss_G: 0.003647 Loss_D_real: -0.019795 Loss_D_fake 0.000109
[1382/5000][30/535][142555] Loss_D: -0.019794 Loss_G: -0.003479 Loss_D_real: -0.017525 Loss_D_fake 0.002269
[1382/5000][35/535][142556] Loss_D: -0.020387 Loss_G: 0.019137 Loss_D_real: -0.021004 Loss_D_fake -0.000616
[1382/5000][40/535][142557] Loss_D: -0.019448 Loss_G: -0.001355 Loss_D_real: -0.004911 Loss_D_fake 0.014536
[1382/5000][45/535][142558] Loss_D: -0.020248 Loss_G: 0.000027 Loss_D_real: -0.015604 Loss_D_fake 0.004644
[1382/5000][50/535][142559] Loss_D: -0.018763 Loss_G: 0.032036 Loss_D_real: -0.035947 Loss_D_fake -0.017184
[1382/5000][55/535][142560] Loss_D: -0.019871 Loss_G: 0.014454 Loss_D_real: -0.028840 Loss_D_fake -0.008969
[1382/5000][60/535][142561] Loss_D: -0.020916 Loss_G: 0.012691 Loss_D_real: -0.027261 Loss_D_fake -0.006345
[1382/5000][65/535][142562] Loss_D: -0.021259 Loss_G: -0.005074 Loss_D_real: -0.019466 Loss_D_fake 0.001793
[1382/5000][70/535][142563] Loss_D: -0.020303 Loss_G: 0.010874 Loss_D_real: -0.018558 Loss_D_fake 0.001745
[1382/5000][75/535][142564] Loss_D: -0.020420 Loss_G: 0.002932 Loss_D_real: -0.000133 Loss_D_fake 0.020287
[1382/5000][80/535][142565] Loss_D: -0.019617 Loss_G: 0.002655 Loss_D_real: -0.015122 Loss_D_fake 0.004495
[1382/5000][85/535][142566] Loss_D: -0.020802 Loss_G: 0.004924 Loss_D_real: -0.016670 Loss_D_fake 0.004132
[1382/5000][90/535][142567] Loss_D: -0.020011 Loss_G: 0.002290 Loss_D_real: -0.013166 Loss_D_fake 0.006845
[1382/5000][95/535][142568] Loss_D: -0.020243 Loss_G: -0.000059 Loss_D_real: -0.007968 Loss_D_fake 0.012275
[1382/5000][100/535][142569] Loss_D: -0.018780 Loss_G: 0.002310 Loss_D_real: -0.012944 Loss_D_fake 0.005836
[1382/5000][105/535][142570] Loss_D: -0.019659 Loss_G: 0.019881 Loss_D_real: -0.013225 Loss_D_fake 0.006434
[1382/5000][110/535][142571] Loss_D: -0.019367 Loss_G: 0.001367 Loss_D_real: -0.020967 Loss_D_fake -0.001600
[1382/5000][115/535][142572] Loss_D: -0.019480 Loss_G: -0.005984 Loss_D_real: -0.012116 Loss_D_fake 0.007365
[1382/5000][120/535][142573] Loss_D: -0.019851 Loss_G: 0.020150 Loss_D_real: -0.022380 Loss_D_fake -0.002529
[1382/5000][125/535][142574] Loss_D: -0.019633 Loss_G: 0.015173 Loss_D_real: -0.024167 Loss_D_fake -0.004535
[1382/5000][130/535][142575] Loss_D: -0.020332 Loss_G: 0.012696 Loss_D_real: -0.020325 Loss_D_fake 0.000007
[1382/5000][135/535][142576] Loss_D: -0.019599 Loss_G: 0.000256 Loss_D_real: -0.012097 Loss_D_fake 0.007502
[1382/5000][140/535][142577] Loss_D: -0.020673 Loss_G: -0.003466 Loss_D_real: -0.001842 Loss_D_fake 0.018831
[1382/5000][145/535][142578] Loss_D: -0.019797 Loss_G: 0.018116 Loss_D_real: -0.014113 Loss_D_fake 0.005685
[1382/5000][150/535][142579] Loss_D: -0.020575 Loss_G: 0.004976 Loss_D_real: -0.004510 Loss_D_fake 0.016065
[1382/5000][155/535][142580] Loss_D: -0.019454 Loss_G: 0.005681 Loss_D_real: -0.022032 Loss_D_fake -0.002577
[1382/5000][160/535][142581] Loss_D: -0.020076 Loss_G: 0.005961 Loss_D_real: -0.012476 Loss_D_fake 0.007600
[1382/5000][165/535][142582] Loss_D: -0.020436 Loss_G: -0.000220 Loss_D_real: -0.009049 Loss_D_fake 0.011388
[1382/5000][170/535][142583] Loss_D: -0.020535 Loss_G: 0.019603 Loss_D_real: -0.033509 Loss_D_fake -0.012975
[1382/5000][175/535][142584] Loss_D: -0.019691 Loss_G: 0.017241 Loss_D_real: -0.028033 Loss_D_fake -0.008341
[1382/5000][180/535][142585] Loss_D: -0.020103 Loss_G: 0.003564 Loss_D_real: -0.015615 Loss_D_fake 0.004488
[1382/5000][185/535][142586] Loss_D: -0.018201 Loss_G: 0.027459 Loss_D_real: -0.035740 Loss_D_fake -0.017540
[1382/5000][190/535][142587] Loss_D: -0.020940 Loss_G: -0.006796 Loss_D_real: -0.005264 Loss_D_fake 0.015675
[1382/5000][195/535][142588] Loss_D: -0.019683 Loss_G: -0.017628 Loss_D_real: -0.001375 Loss_D_fake 0.018308
[1382/5000][200/535][142589] Loss_D: -0.018996 Loss_G: 0.020794 Loss_D_real: -0.001081 Loss_D_fake 0.017915
[1382/5000][205/535][142590] Loss_D: -0.018508 Loss_G: 0.005045 Loss_D_real: -0.010381 Loss_D_fake 0.008126
[1382/5000][210/535][142591] Loss_D: -0.019414 Loss_G: 0.018005 Loss_D_real: -0.022080 Loss_D_fake -0.002666
[1382/5000][215/535][142592] Loss_D: -0.019537 Loss_G: 0.010410 Loss_D_real: -0.015595 Loss_D_fake 0.003942
[1382/5000][220/535][142593] Loss_D: -0.019568 Loss_G: 0.014936 Loss_D_real: -0.011501 Loss_D_fake 0.008066
[1382/5000][225/535][142594] Loss_D: -0.019388 Loss_G: -0.002448 Loss_D_real: -0.018291 Loss_D_fake 0.001096
[1382/5000][230/535][142595] Loss_D: -0.018782 Loss_G: 0.009730 Loss_D_real: -0.023180 Loss_D_fake -0.004399
[1382/5000][235/535][142596] Loss_D: -0.019482 Loss_G: 0.006189 Loss_D_real: -0.022105 Loss_D_fake -0.002623
[1382/5000][240/535][142597] Loss_D: -0.019899 Loss_G: 0.011833 Loss_D_real: -0.029150 Loss_D_fake -0.009251
[1382/5000][245/535][142598] Loss_D: -0.019929 Loss_G: 0.017114 Loss_D_real: -0.012259 Loss_D_fake 0.007671
[1382/5000][250/535][142599] Loss_D: -0.020923 Loss_G: 0.009385 Loss_D_real: -0.030875 Loss_D_fake -0.009953
[1382/5000][255/535][142600] Loss_D: -0.018386 Loss_G: 0.028688 Loss_D_real: -0.031470 Loss_D_fake -0.013084
[1382/5000][260/535][142601] Loss_D: -0.019579 Loss_G: 0.012010 Loss_D_real: -0.004329 Loss_D_fake 0.015250
[1382/5000][265/535][142602] Loss_D: -0.020477 Loss_G: 0.002336 Loss_D_real: -0.022468 Loss_D_fake -0.001991
[1382/5000][270/535][142603] Loss_D: -0.019919 Loss_G: 0.000145 Loss_D_real: -0.017515 Loss_D_fake 0.002403
[1382/5000][275/535][142604] Loss_D: -0.019441 Loss_G: 0.010153 Loss_D_real: -0.019946 Loss_D_fake -0.000505
[1382/5000][280/535][142605] Loss_D: -0.020324 Loss_G: 0.002825 Loss_D_real: -0.018333 Loss_D_fake 0.001991
[1382/5000][285/535][142606] Loss_D: -0.020398 Loss_G: -0.001506 Loss_D_real: -0.003225 Loss_D_fake 0.017174
[1382/5000][290/535][142607] Loss_D: -0.018714 Loss_G: 0.018365 Loss_D_real: -0.023199 Loss_D_fake -0.004485
[1382/5000][295/535][142608] Loss_D: -0.019992 Loss_G: 0.012633 Loss_D_real: -0.012441 Loss_D_fake 0.007550
[1382/5000][300/535][142609] Loss_D: -0.018326 Loss_G: 0.021026 Loss_D_real: -0.028235 Loss_D_fake -0.009909
[1382/5000][305/535][142610] Loss_D: -0.019057 Loss_G: -0.001962 Loss_D_real: -0.002350 Loss_D_fake 0.016707
[1382/5000][310/535][142611] Loss_D: -0.019511 Loss_G: 0.030193 Loss_D_real: -0.020322 Loss_D_fake -0.000811
[1382/5000][315/535][142612] Loss_D: -0.020023 Loss_G: -0.008316 Loss_D_real: -0.011909 Loss_D_fake 0.008113
[1382/5000][320/535][142613] Loss_D: -0.019735 Loss_G: 0.004260 Loss_D_real: -0.003523 Loss_D_fake 0.016211
[1382/5000][325/535][142614] Loss_D: -0.020163 Loss_G: -0.002196 Loss_D_real: -0.019058 Loss_D_fake 0.001105
[1382/5000][330/535][142615] Loss_D: -0.020434 Loss_G: -0.013563 Loss_D_real: -0.012932 Loss_D_fake 0.007502
[1382/5000][335/535][142616] Loss_D: -0.019381 Loss_G: -0.007640 Loss_D_real: -0.005693 Loss_D_fake 0.013688
[1382/5000][340/535][142617] Loss_D: -0.019838 Loss_G: -0.007630 Loss_D_real: 0.000013 Loss_D_fake 0.019851
[1382/5000][345/535][142618] Loss_D: -0.019668 Loss_G: 0.029314 Loss_D_real: -0.026994 Loss_D_fake -0.007327
[1382/5000][350/535][142619] Loss_D: -0.021634 Loss_G: 0.009217 Loss_D_real: -0.006672 Loss_D_fake 0.014962
[1382/5000][355/535][142620] Loss_D: -0.019206 Loss_G: 0.015451 Loss_D_real: -0.025715 Loss_D_fake -0.006509
[1382/5000][360/535][142621] Loss_D: -0.020169 Loss_G: 0.006039 Loss_D_real: -0.012326 Loss_D_fake 0.007842
[1382/5000][365/535][142622] Loss_D: -0.019250 Loss_G: -0.015318 Loss_D_real: -0.005473 Loss_D_fake 0.013777
[1382/5000][370/535][142623] Loss_D: -0.020523 Loss_G: -0.002725 Loss_D_real: -0.013918 Loss_D_fake 0.006606
[1382/5000][375/535][142624] Loss_D: -0.020635 Loss_G: 0.012396 Loss_D_real: -0.028429 Loss_D_fake -0.007793
[1382/5000][380/535][142625] Loss_D: -0.020042 Loss_G: 0.003135 Loss_D_real: -0.000616 Loss_D_fake 0.019426
[1382/5000][385/535][142626] Loss_D: -0.020550 Loss_G: 0.008395 Loss_D_real: -0.012696 Loss_D_fake 0.007854
[1382/5000][390/535][142627] Loss_D: -0.019859 Loss_G: 0.019490 Loss_D_real: -0.024173 Loss_D_fake -0.004314
[1382/5000][395/535][142628] Loss_D: -0.019543 Loss_G: -0.002925 Loss_D_real: -0.022457 Loss_D_fake -0.002914
[1382/5000][400/535][142629] Loss_D: -0.020104 Loss_G: 0.011065 Loss_D_real: -0.019248 Loss_D_fake 0.000856
[1382/5000][405/535][142630] Loss_D: -0.019941 Loss_G: 0.009829 Loss_D_real: -0.008802 Loss_D_fake 0.011139
[1382/5000][410/535][142631] Loss_D: -0.020482 Loss_G: 0.002699 Loss_D_real: -0.019308 Loss_D_fake 0.001174
[1382/5000][415/535][142632] Loss_D: -0.018908 Loss_G: 0.028130 Loss_D_real: -0.033679 Loss_D_fake -0.014771
[1382/5000][420/535][142633] Loss_D: -0.019624 Loss_G: 0.014865 Loss_D_real: -0.025190 Loss_D_fake -0.005567
[1382/5000][425/535][142634] Loss_D: -0.019871 Loss_G: 0.014808 Loss_D_real: -0.034627 Loss_D_fake -0.014756
[1382/5000][430/535][142635] Loss_D: -0.019024 Loss_G: 0.016785 Loss_D_real: -0.030053 Loss_D_fake -0.011030
[1382/5000][435/535][142636] Loss_D: -0.020784 Loss_G: 0.015575 Loss_D_real: -0.022392 Loss_D_fake -0.001609
[1382/5000][440/535][142637] Loss_D: -0.020953 Loss_G: -0.005615 Loss_D_real: -0.010628 Loss_D_fake 0.010325
[1382/5000][445/535][142638] Loss_D: -0.019990 Loss_G: 0.014286 Loss_D_real: -0.015828 Loss_D_fake 0.004162
[1382/5000][450/535][142639] Loss_D: -0.019983 Loss_G: 0.015098 Loss_D_real: -0.013704 Loss_D_fake 0.006280
[1382/5000][455/535][142640] Loss_D: -0.019999 Loss_G: 0.004433 Loss_D_real: -0.030100 Loss_D_fake -0.010100
[1382/5000][460/535][142641] Loss_D: -0.017727 Loss_G: -0.009790 Loss_D_real: -0.004755 Loss_D_fake 0.012972
[1382/5000][465/535][142642] Loss_D: -0.020216 Loss_G: 0.020058 Loss_D_real: -0.029662 Loss_D_fake -0.009446
[1382/5000][470/535][142643] Loss_D: -0.019370 Loss_G: 0.012077 Loss_D_real: -0.011964 Loss_D_fake 0.007406
[1382/5000][475/535][142644] Loss_D: -0.019366 Loss_G: 0.003023 Loss_D_real: -0.015530 Loss_D_fake 0.003837
[1382/5000][480/535][142645] Loss_D: -0.019203 Loss_G: 0.020967 Loss_D_real: -0.030373 Loss_D_fake -0.011171
[1382/5000][485/535][142646] Loss_D: -0.019458 Loss_G: 0.016314 Loss_D_real: -0.018053 Loss_D_fake 0.001405
[1382/5000][490/535][142647] Loss_D: -0.019622 Loss_G: 0.008532 Loss_D_real: -0.024961 Loss_D_fake -0.005339
[1382/5000][495/535][142648] Loss_D: -0.019814 Loss_G: 0.007979 Loss_D_real: -0.014140 Loss_D_fake 0.005673
[1382/5000][500/535][142649] Loss_D: -0.021228 Loss_G: -0.011241 Loss_D_real: -0.012657 Loss_D_fake 0.008572
[1382/5000][505/535][142650] Loss_D: -0.019258 Loss_G: 0.022871 Loss_D_real: -0.017585 Loss_D_fake 0.001673
[1382/5000][510/535][142651] Loss_D: -0.019643 Loss_G: -0.006831 Loss_D_real: -0.006473 Loss_D_fake 0.013169
[1382/5000][515/535][142652] Loss_D: -0.020925 Loss_G: 0.022131 Loss_D_real: -0.030062 Loss_D_fake -0.009137
[1382/5000][520/535][142653] Loss_D: -0.020177 Loss_G: 0.001427 Loss_D_real: -0.003930 Loss_D_fake 0.016247
[1382/5000][525/535][142654] Loss_D: -0.020565 Loss_G: -0.006065 Loss_D_real: -0.021545 Loss_D_fake -0.000980
[1382/5000][530/535][142655] Loss_D: -0.020816 Loss_G: -0.002344 Loss_D_real: -0.008171 Loss_D_fake 0.012645
[1382/5000][535/535][142656] Loss_D: -0.021243 Loss_G: -0.011791 Loss_D_real: -0.026821 Loss_D_fake -0.005578
[1383/5000][5/535][142657] Loss_D: -0.019560 Loss_G: -0.000997 Loss_D_real: -0.006916 Loss_D_fake 0.012644
[1383/5000][10/535][142658] Loss_D: -0.021464 Loss_G: 0.005487 Loss_D_real: -0.006694 Loss_D_fake 0.014770
[1383/5000][15/535][142659] Loss_D: -0.020638 Loss_G: 0.020137 Loss_D_real: -0.032595 Loss_D_fake -0.011957
[1383/5000][20/535][142660] Loss_D: -0.020590 Loss_G: 0.007806 Loss_D_real: -0.022234 Loss_D_fake -0.001644
[1383/5000][25/535][142661] Loss_D: -0.019818 Loss_G: -0.011485 Loss_D_real: -0.005841 Loss_D_fake 0.013977
[1383/5000][30/535][142662] Loss_D: -0.019476 Loss_G: 0.011950 Loss_D_real: -0.020297 Loss_D_fake -0.000822
[1383/5000][35/535][142663] Loss_D: -0.019309 Loss_G: -0.001554 Loss_D_real: -0.006658 Loss_D_fake 0.012651
[1383/5000][40/535][142664] Loss_D: -0.019268 Loss_G: -0.006184 Loss_D_real: -0.009344 Loss_D_fake 0.009924
[1383/5000][45/535][142665] Loss_D: -0.017991 Loss_G: 0.004416 Loss_D_real: -0.008095 Loss_D_fake 0.009896
[1383/5000][50/535][142666] Loss_D: -0.020203 Loss_G: 0.025014 Loss_D_real: -0.016380 Loss_D_fake 0.003823
[1383/5000][55/535][142667] Loss_D: -0.018544 Loss_G: 0.026839 Loss_D_real: -0.025961 Loss_D_fake -0.007417
[1383/5000][60/535][142668] Loss_D: -0.019974 Loss_G: 0.009512 Loss_D_real: -0.024969 Loss_D_fake -0.004995
[1383/5000][65/535][142669] Loss_D: -0.019524 Loss_G: 0.017246 Loss_D_real: -0.034592 Loss_D_fake -0.015067
[1383/5000][70/535][142670] Loss_D: -0.022011 Loss_G: 0.014542 Loss_D_real: -0.015186 Loss_D_fake 0.006825
[1383/5000][75/535][142671] Loss_D: -0.021335 Loss_G: 0.002613 Loss_D_real: -0.022024 Loss_D_fake -0.000689
[1383/5000][80/535][142672] Loss_D: -0.017925 Loss_G: -0.002588 Loss_D_real: -0.001581 Loss_D_fake 0.016344
[1383/5000][85/535][142673] Loss_D: -0.021891 Loss_G: 0.006617 Loss_D_real: -0.021148 Loss_D_fake 0.000743
[1383/5000][90/535][142674] Loss_D: -0.021079 Loss_G: 0.028143 Loss_D_real: -0.032165 Loss_D_fake -0.011086
[1383/5000][95/535][142675] Loss_D: -0.018598 Loss_G: 0.016272 Loss_D_real: -0.035178 Loss_D_fake -0.016580
[1383/5000][100/535][142676] Loss_D: -0.020910 Loss_G: 0.017304 Loss_D_real: -0.024822 Loss_D_fake -0.003912
[1383/5000][105/535][142677] Loss_D: -0.018945 Loss_G: -0.012435 Loss_D_real: 0.000428 Loss_D_fake 0.019373
[1383/5000][110/535][142678] Loss_D: -0.020669 Loss_G: 0.020100 Loss_D_real: -0.021008 Loss_D_fake -0.000339
[1383/5000][115/535][142679] Loss_D: -0.020495 Loss_G: 0.004923 Loss_D_real: -0.017912 Loss_D_fake 0.002583
[1383/5000][120/535][142680] Loss_D: -0.020305 Loss_G: -0.002966 Loss_D_real: 0.002583 Loss_D_fake 0.022888
[1383/5000][125/535][142681] Loss_D: -0.021572 Loss_G: -0.003017 Loss_D_real: -0.016935 Loss_D_fake 0.004637
[1383/5000][130/535][142682] Loss_D: -0.020840 Loss_G: -0.008982 Loss_D_real: -0.010479 Loss_D_fake 0.010361
[1383/5000][135/535][142683] Loss_D: -0.019766 Loss_G: 0.010975 Loss_D_real: -0.012831 Loss_D_fake 0.006935
[1383/5000][140/535][142684] Loss_D: -0.020137 Loss_G: 0.015135 Loss_D_real: -0.021838 Loss_D_fake -0.001701
[1383/5000][145/535][142685] Loss_D: -0.020700 Loss_G: 0.012252 Loss_D_real: -0.010126 Loss_D_fake 0.010574
[1383/5000][150/535][142686] Loss_D: -0.018518 Loss_G: 0.014406 Loss_D_real: -0.033364 Loss_D_fake -0.014846
[1383/5000][155/535][142687] Loss_D: -0.019687 Loss_G: 0.019843 Loss_D_real: -0.023148 Loss_D_fake -0.003461
[1383/5000][160/535][142688] Loss_D: -0.020144 Loss_G: 0.005109 Loss_D_real: -0.007771 Loss_D_fake 0.012373
[1383/5000][165/535][142689] Loss_D: -0.018580 Loss_G: 0.022094 Loss_D_real: -0.022837 Loss_D_fake -0.004257
[1383/5000][170/535][142690] Loss_D: -0.020838 Loss_G: -0.015642 Loss_D_real: -0.019178 Loss_D_fake 0.001660
[1383/5000][175/535][142691] Loss_D: -0.019193 Loss_G: -0.014390 Loss_D_real: -0.007591 Loss_D_fake 0.011602
[1383/5000][180/535][142692] Loss_D: -0.020960 Loss_G: 0.010409 Loss_D_real: -0.017688 Loss_D_fake 0.003272
[1383/5000][185/535][142693] Loss_D: -0.018932 Loss_G: 0.016904 Loss_D_real: -0.011651 Loss_D_fake 0.007280
[1383/5000][190/535][142694] Loss_D: -0.019767 Loss_G: 0.007884 Loss_D_real: 0.001200 Loss_D_fake 0.020967
[1383/5000][195/535][142695] Loss_D: -0.019100 Loss_G: -0.007098 Loss_D_real: -0.009618 Loss_D_fake 0.009482
[1383/5000][200/535][142696] Loss_D: -0.020670 Loss_G: 0.011989 Loss_D_real: -0.015737 Loss_D_fake 0.004933
[1383/5000][205/535][142697] Loss_D: -0.019526 Loss_G: 0.005599 Loss_D_real: -0.012446 Loss_D_fake 0.007079
[1383/5000][210/535][142698] Loss_D: -0.020182 Loss_G: 0.015266 Loss_D_real: -0.017381 Loss_D_fake 0.002801
[1383/5000][215/535][142699] Loss_D: -0.018771 Loss_G: 0.025542 Loss_D_real: -0.027954 Loss_D_fake -0.009183
[1383/5000][220/535][142700] Loss_D: -0.019958 Loss_G: -0.010009 Loss_D_real: -0.018921 Loss_D_fake 0.001037
[1383/5000][225/535][142701] Loss_D: -0.020690 Loss_G: -0.006291 Loss_D_real: -0.019977 Loss_D_fake 0.000714
[1383/5000][230/535][142702] Loss_D: -0.019223 Loss_G: 0.017644 Loss_D_real: -0.033054 Loss_D_fake -0.013831
[1383/5000][235/535][142703] Loss_D: -0.019584 Loss_G: 0.004753 Loss_D_real: -0.016460 Loss_D_fake 0.003124
[1383/5000][240/535][142704] Loss_D: -0.019784 Loss_G: 0.010864 Loss_D_real: -0.004765 Loss_D_fake 0.015019
[1383/5000][245/535][142705] Loss_D: -0.020673 Loss_G: 0.006955 Loss_D_real: -0.028698 Loss_D_fake -0.008025
[1383/5000][250/535][142706] Loss_D: -0.022043 Loss_G: -0.009725 Loss_D_real: -0.007444 Loss_D_fake 0.014599
[1383/5000][255/535][142707] Loss_D: -0.020598 Loss_G: 0.007584 Loss_D_real: -0.012456 Loss_D_fake 0.008142
[1383/5000][260/535][142708] Loss_D: -0.020296 Loss_G: -0.008879 Loss_D_real: -0.013925 Loss_D_fake 0.006372
[1383/5000][265/535][142709] Loss_D: -0.019103 Loss_G: 0.007356 Loss_D_real: -0.008682 Loss_D_fake 0.010421
[1383/5000][270/535][142710] Loss_D: -0.020623 Loss_G: 0.015551 Loss_D_real: -0.013952 Loss_D_fake 0.006671
[1383/5000][275/535][142711] Loss_D: -0.018979 Loss_G: 0.013207 Loss_D_real: -0.011473 Loss_D_fake 0.007505
[1383/5000][280/535][142712] Loss_D: -0.020440 Loss_G: -0.006203 Loss_D_real: -0.008627 Loss_D_fake 0.011813
[1383/5000][285/535][142713] Loss_D: -0.020713 Loss_G: -0.004842 Loss_D_real: -0.015406 Loss_D_fake 0.005307
[1383/5000][290/535][142714] Loss_D: -0.018915 Loss_G: -0.005618 Loss_D_real: -0.005031 Loss_D_fake 0.013885
[1383/5000][295/535][142715] Loss_D: -0.019594 Loss_G: 0.014488 Loss_D_real: -0.023647 Loss_D_fake -0.004053
[1383/5000][300/535][142716] Loss_D: -0.018921 Loss_G: -0.001534 Loss_D_real: -0.006876 Loss_D_fake 0.012044
[1383/5000][305/535][142717] Loss_D: -0.018711 Loss_G: 0.007797 Loss_D_real: -0.012106 Loss_D_fake 0.006606
[1383/5000][310/535][142718] Loss_D: -0.018742 Loss_G: 0.005779 Loss_D_real: -0.008741 Loss_D_fake 0.010001
[1383/5000][315/535][142719] Loss_D: -0.019433 Loss_G: 0.004534 Loss_D_real: -0.017262 Loss_D_fake 0.002171
[1383/5000][320/535][142720] Loss_D: -0.020234 Loss_G: 0.013224 Loss_D_real: -0.019583 Loss_D_fake 0.000651
[1383/5000][325/535][142721] Loss_D: -0.021015 Loss_G: -0.002719 Loss_D_real: -0.003455 Loss_D_fake 0.017559
[1383/5000][330/535][142722] Loss_D: -0.020746 Loss_G: 0.008983 Loss_D_real: -0.019078 Loss_D_fake 0.001669
[1383/5000][335/535][142723] Loss_D: -0.020214 Loss_G: 0.009382 Loss_D_real: -0.028140 Loss_D_fake -0.007926
[1383/5000][340/535][142724] Loss_D: -0.018976 Loss_G: 0.014234 Loss_D_real: -0.024688 Loss_D_fake -0.005712
[1383/5000][345/535][142725] Loss_D: -0.019361 Loss_G: -0.019488 Loss_D_real: 0.009976 Loss_D_fake 0.029337
[1383/5000][350/535][142726] Loss_D: -0.020353 Loss_G: 0.001462 Loss_D_real: -0.007725 Loss_D_fake 0.012629
[1383/5000][355/535][142727] Loss_D: -0.021047 Loss_G: 0.004131 Loss_D_real: -0.013080 Loss_D_fake 0.007967
[1383/5000][360/535][142728] Loss_D: -0.020339 Loss_G: 0.010659 Loss_D_real: -0.026113 Loss_D_fake -0.005775
[1383/5000][365/535][142729] Loss_D: -0.021057 Loss_G: 0.010817 Loss_D_real: -0.014799 Loss_D_fake 0.006258
[1383/5000][370/535][142730] Loss_D: -0.020191 Loss_G: -0.000844 Loss_D_real: -0.010903 Loss_D_fake 0.009287
[1383/5000][375/535][142731] Loss_D: -0.019412 Loss_G: 0.000129 Loss_D_real: -0.008571 Loss_D_fake 0.010841
[1383/5000][380/535][142732] Loss_D: -0.021356 Loss_G: 0.003092 Loss_D_real: -0.016397 Loss_D_fake 0.004959
[1383/5000][385/535][142733] Loss_D: -0.019030 Loss_G: 0.022698 Loss_D_real: -0.030015 Loss_D_fake -0.010985
[1383/5000][390/535][142734] Loss_D: -0.020731 Loss_G: 0.017662 Loss_D_real: -0.021899 Loss_D_fake -0.001168
[1383/5000][395/535][142735] Loss_D: -0.018451 Loss_G: -0.013477 Loss_D_real: -0.000019 Loss_D_fake 0.018432
[1383/5000][400/535][142736] Loss_D: -0.018238 Loss_G: 0.013916 Loss_D_real: -0.032217 Loss_D_fake -0.013979
[1383/5000][405/535][142737] Loss_D: -0.019412 Loss_G: 0.020668 Loss_D_real: -0.026807 Loss_D_fake -0.007395
[1383/5000][410/535][142738] Loss_D: -0.020266 Loss_G: 0.005400 Loss_D_real: -0.016435 Loss_D_fake 0.003831
[1383/5000][415/535][142739] Loss_D: -0.020551 Loss_G: 0.000697 Loss_D_real: -0.022180 Loss_D_fake -0.001629
[1383/5000][420/535][142740] Loss_D: -0.020075 Loss_G: 0.006260 Loss_D_real: -0.027993 Loss_D_fake -0.007918
[1383/5000][425/535][142741] Loss_D: -0.020876 Loss_G: 0.004716 Loss_D_real: -0.016266 Loss_D_fake 0.004611
[1383/5000][430/535][142742] Loss_D: -0.019395 Loss_G: 0.022744 Loss_D_real: -0.024680 Loss_D_fake -0.005285
[1383/5000][435/535][142743] Loss_D: -0.020168 Loss_G: 0.015701 Loss_D_real: -0.017251 Loss_D_fake 0.002916
[1383/5000][440/535][142744] Loss_D: -0.020374 Loss_G: -0.015240 Loss_D_real: -0.016281 Loss_D_fake 0.004094
[1383/5000][445/535][142745] Loss_D: -0.019693 Loss_G: -0.006862 Loss_D_real: -0.023057 Loss_D_fake -0.003363
[1383/5000][450/535][142746] Loss_D: -0.019840 Loss_G: 0.005825 Loss_D_real: -0.010483 Loss_D_fake 0.009357
[1383/5000][455/535][142747] Loss_D: -0.019752 Loss_G: -0.002579 Loss_D_real: 0.007461 Loss_D_fake 0.027212
[1383/5000][460/535][142748] Loss_D: -0.019912 Loss_G: 0.007276 Loss_D_real: -0.021250 Loss_D_fake -0.001338
[1383/5000][465/535][142749] Loss_D: -0.019424 Loss_G: 0.007470 Loss_D_real: -0.022036 Loss_D_fake -0.002612
[1383/5000][470/535][142750] Loss_D: -0.021921 Loss_G: 0.017274 Loss_D_real: -0.022051 Loss_D_fake -0.000130
[1383/5000][475/535][142751] Loss_D: -0.019958 Loss_G: 0.014054 Loss_D_real: -0.021770 Loss_D_fake -0.001812
[1383/5000][480/535][142752] Loss_D: -0.019695 Loss_G: 0.002904 Loss_D_real: -0.016425 Loss_D_fake 0.003270
[1383/5000][485/535][142753] Loss_D: -0.018271 Loss_G: -0.007544 Loss_D_real: -0.011049 Loss_D_fake 0.007222
[1383/5000][490/535][142754] Loss_D: -0.018674 Loss_G: 0.012978 Loss_D_real: -0.015125 Loss_D_fake 0.003550
[1383/5000][495/535][142755] Loss_D: -0.019428 Loss_G: -0.009833 Loss_D_real: 0.002046 Loss_D_fake 0.021474
[1383/5000][500/535][142756] Loss_D: -0.019708 Loss_G: 0.023403 Loss_D_real: -0.029808 Loss_D_fake -0.010100
[1383/5000][505/535][142757] Loss_D: -0.021086 Loss_G: 0.008528 Loss_D_real: -0.024235 Loss_D_fake -0.003149
[1383/5000][510/535][142758] Loss_D: -0.020160 Loss_G: -0.007976 Loss_D_real: -0.012479 Loss_D_fake 0.007681
[1383/5000][515/535][142759] Loss_D: -0.020140 Loss_G: 0.008833 Loss_D_real: -0.029212 Loss_D_fake -0.009073
[1383/5000][520/535][142760] Loss_D: -0.020287 Loss_G: 0.006010 Loss_D_real: -0.012120 Loss_D_fake 0.008166
[1383/5000][525/535][142761] Loss_D: -0.022116 Loss_G: 0.014660 Loss_D_real: -0.003382 Loss_D_fake 0.018734
[1383/5000][530/535][142762] Loss_D: -0.020680 Loss_G: 0.019741 Loss_D_real: -0.032725 Loss_D_fake -0.012045
[1383/5000][535/535][142763] Loss_D: -0.020010 Loss_G: -0.005569 Loss_D_real: -0.012172 Loss_D_fake 0.007839
[1384/5000][5/535][142764] Loss_D: -0.021403 Loss_G: 0.011817 Loss_D_real: -0.016235 Loss_D_fake 0.005168
[1384/5000][10/535][142765] Loss_D: -0.022088 Loss_G: 0.023518 Loss_D_real: -0.007789 Loss_D_fake 0.014298
[1384/5000][15/535][142766] Loss_D: -0.019954 Loss_G: 0.000346 Loss_D_real: -0.000771 Loss_D_fake 0.019183
[1384/5000][20/535][142767] Loss_D: -0.020756 Loss_G: 0.013057 Loss_D_real: -0.014968 Loss_D_fake 0.005788
[1384/5000][25/535][142768] Loss_D: -0.020674 Loss_G: 0.009725 Loss_D_real: -0.010729 Loss_D_fake 0.009945
[1384/5000][30/535][142769] Loss_D: -0.018525 Loss_G: 0.015987 Loss_D_real: -0.036130 Loss_D_fake -0.017605
[1384/5000][35/535][142770] Loss_D: -0.021356 Loss_G: -0.004642 Loss_D_real: -0.026395 Loss_D_fake -0.005039
[1384/5000][40/535][142771] Loss_D: -0.018903 Loss_G: 0.023337 Loss_D_real: -0.028651 Loss_D_fake -0.009747
[1384/5000][45/535][142772] Loss_D: -0.019786 Loss_G: -0.003346 Loss_D_real: -0.012067 Loss_D_fake 0.007719
[1384/5000][50/535][142773] Loss_D: -0.021097 Loss_G: -0.003034 Loss_D_real: -0.014852 Loss_D_fake 0.006244
[1384/5000][55/535][142774] Loss_D: -0.019589 Loss_G: 0.001799 Loss_D_real: -0.001952 Loss_D_fake 0.017637
[1384/5000][60/535][142775] Loss_D: -0.020991 Loss_G: 0.001433 Loss_D_real: -0.012997 Loss_D_fake 0.007994
[1384/5000][65/535][142776] Loss_D: -0.019742 Loss_G: -0.006517 Loss_D_real: -0.001203 Loss_D_fake 0.018539
[1384/5000][70/535][142777] Loss_D: -0.019764 Loss_G: 0.009025 Loss_D_real: -0.005006 Loss_D_fake 0.014759
[1384/5000][75/535][142778] Loss_D: -0.017706 Loss_G: 0.025543 Loss_D_real: -0.032902 Loss_D_fake -0.015196
[1384/5000][80/535][142779] Loss_D: -0.020682 Loss_G: -0.001497 Loss_D_real: -0.010300 Loss_D_fake 0.010382
[1384/5000][85/535][142780] Loss_D: -0.019626 Loss_G: 0.020986 Loss_D_real: -0.023526 Loss_D_fake -0.003900
[1384/5000][90/535][142781] Loss_D: -0.018004 Loss_G: 0.030547 Loss_D_real: -0.039319 Loss_D_fake -0.021315
[1384/5000][95/535][142782] Loss_D: -0.020903 Loss_G: 0.022339 Loss_D_real: -0.017801 Loss_D_fake 0.003102
[1384/5000][100/535][142783] Loss_D: -0.020924 Loss_G: 0.000465 Loss_D_real: -0.010151 Loss_D_fake 0.010774
[1384/5000][105/535][142784] Loss_D: -0.020021 Loss_G: 0.007345 Loss_D_real: -0.008554 Loss_D_fake 0.011467
[1384/5000][110/535][142785] Loss_D: -0.020490 Loss_G: 0.021239 Loss_D_real: -0.037074 Loss_D_fake -0.016584
[1384/5000][115/535][142786] Loss_D: -0.019212 Loss_G: 0.003214 Loss_D_real: -0.010750 Loss_D_fake 0.008462
[1384/5000][120/535][142787] Loss_D: -0.020654 Loss_G: 0.007107 Loss_D_real: -0.018467 Loss_D_fake 0.002188
[1384/5000][125/535][142788] Loss_D: -0.020645 Loss_G: 0.006793 Loss_D_real: -0.013717 Loss_D_fake 0.006928
[1384/5000][130/535][142789] Loss_D: -0.019335 Loss_G: -0.003336 Loss_D_real: -0.007428 Loss_D_fake 0.011908
[1384/5000][135/535][142790] Loss_D: -0.020455 Loss_G: 0.018238 Loss_D_real: -0.021190 Loss_D_fake -0.000735
[1384/5000][140/535][142791] Loss_D: -0.020057 Loss_G: -0.001666 Loss_D_real: -0.009614 Loss_D_fake 0.010443
[1384/5000][145/535][142792] Loss_D: -0.019553 Loss_G: 0.011661 Loss_D_real: -0.022889 Loss_D_fake -0.003336
[1384/5000][150/535][142793] Loss_D: -0.019488 Loss_G: -0.002949 Loss_D_real: -0.007229 Loss_D_fake 0.012259
[1384/5000][155/535][142794] Loss_D: -0.018619 Loss_G: 0.008512 Loss_D_real: -0.016970 Loss_D_fake 0.001649
[1384/5000][160/535][142795] Loss_D: -0.020783 Loss_G: -0.007052 Loss_D_real: -0.018056 Loss_D_fake 0.002727
[1384/5000][165/535][142796] Loss_D: -0.020451 Loss_G: 0.009773 Loss_D_real: -0.005396 Loss_D_fake 0.015055
[1384/5000][170/535][142797] Loss_D: -0.021040 Loss_G: 0.002053 Loss_D_real: -0.016936 Loss_D_fake 0.004104
[1384/5000][175/535][142798] Loss_D: -0.019511 Loss_G: 0.012694 Loss_D_real: -0.029589 Loss_D_fake -0.010078
[1384/5000][180/535][142799] Loss_D: -0.018778 Loss_G: -0.003520 Loss_D_real: -0.001253 Loss_D_fake 0.017525
[1384/5000][185/535][142800] Loss_D: -0.019500 Loss_G: 0.005290 Loss_D_real: -0.019869 Loss_D_fake -0.000369
[1384/5000][190/535][142801] Loss_D: -0.017898 Loss_G: 0.013213 Loss_D_real: -0.015428 Loss_D_fake 0.002470
[1384/5000][195/535][142802] Loss_D: -0.019512 Loss_G: 0.013012 Loss_D_real: -0.023507 Loss_D_fake -0.003995
[1384/5000][200/535][142803] Loss_D: -0.018329 Loss_G: 0.018146 Loss_D_real: -0.020023 Loss_D_fake -0.001694
[1384/5000][205/535][142804] Loss_D: -0.019557 Loss_G: 0.006855 Loss_D_real: -0.033286 Loss_D_fake -0.013729
[1384/5000][210/535][142805] Loss_D: -0.019653 Loss_G: -0.014303 Loss_D_real: -0.005062 Loss_D_fake 0.014591
[1384/5000][215/535][142806] Loss_D: -0.017797 Loss_G: -0.000586 Loss_D_real: -0.013136 Loss_D_fake 0.004661
[1384/5000][220/535][142807] Loss_D: -0.019849 Loss_G: 0.027788 Loss_D_real: -0.025015 Loss_D_fake -0.005166
[1384/5000][225/535][142808] Loss_D: -0.020254 Loss_G: -0.004190 Loss_D_real: -0.011029 Loss_D_fake 0.009224
[1384/5000][230/535][142809] Loss_D: -0.020309 Loss_G: 0.012970 Loss_D_real: -0.019793 Loss_D_fake 0.000515
[1384/5000][235/535][142810] Loss_D: -0.021317 Loss_G: -0.009436 Loss_D_real: -0.000897 Loss_D_fake 0.020420
[1384/5000][240/535][142811] Loss_D: -0.018482 Loss_G: -0.011406 Loss_D_real: -0.010209 Loss_D_fake 0.008272
[1384/5000][245/535][142812] Loss_D: -0.019780 Loss_G: 0.010384 Loss_D_real: -0.013675 Loss_D_fake 0.006105
[1384/5000][250/535][142813] Loss_D: -0.020313 Loss_G: 0.013377 Loss_D_real: -0.011099 Loss_D_fake 0.009214
[1384/5000][255/535][142814] Loss_D: -0.020182 Loss_G: -0.000290 Loss_D_real: -0.010338 Loss_D_fake 0.009844
[1384/5000][260/535][142815] Loss_D: -0.020977 Loss_G: 0.000121 Loss_D_real: -0.004987 Loss_D_fake 0.015990
[1384/5000][265/535][142816] Loss_D: -0.020760 Loss_G: 0.000334 Loss_D_real: -0.017541 Loss_D_fake 0.003219
[1384/5000][270/535][142817] Loss_D: -0.019545 Loss_G: 0.001947 Loss_D_real: -0.024355 Loss_D_fake -0.004810
[1384/5000][275/535][142818] Loss_D: -0.019157 Loss_G: -0.001331 Loss_D_real: -0.015088 Loss_D_fake 0.004069
[1384/5000][280/535][142819] Loss_D: -0.020213 Loss_G: 0.015404 Loss_D_real: -0.024942 Loss_D_fake -0.004728
[1384/5000][285/535][142820] Loss_D: -0.018988 Loss_G: -0.000481 Loss_D_real: -0.023517 Loss_D_fake -0.004529
[1384/5000][290/535][142821] Loss_D: -0.020395 Loss_G: 0.019670 Loss_D_real: -0.026257 Loss_D_fake -0.005863
[1384/5000][295/535][142822] Loss_D: -0.019504 Loss_G: 0.008215 Loss_D_real: -0.019351 Loss_D_fake 0.000154
[1384/5000][300/535][142823] Loss_D: -0.019710 Loss_G: -0.011641 Loss_D_real: -0.014520 Loss_D_fake 0.005190
[1384/5000][305/535][142824] Loss_D: -0.019801 Loss_G: 0.000244 Loss_D_real: -0.019781 Loss_D_fake 0.000020
[1384/5000][310/535][142825] Loss_D: -0.021156 Loss_G: 0.004103 Loss_D_real: -0.030241 Loss_D_fake -0.009085
[1384/5000][315/535][142826] Loss_D: -0.020508 Loss_G: 0.010846 Loss_D_real: -0.024916 Loss_D_fake -0.004408
[1384/5000][320/535][142827] Loss_D: -0.018971 Loss_G: 0.035106 Loss_D_real: -0.028866 Loss_D_fake -0.009896
[1384/5000][325/535][142828] Loss_D: -0.020564 Loss_G: 0.004822 Loss_D_real: -0.014087 Loss_D_fake 0.006477
[1384/5000][330/535][142829] Loss_D: -0.019624 Loss_G: 0.021291 Loss_D_real: -0.020243 Loss_D_fake -0.000619
[1384/5000][335/535][142830] Loss_D: -0.019314 Loss_G: 0.035015 Loss_D_real: -0.029893 Loss_D_fake -0.010579
[1384/5000][340/535][142831] Loss_D: -0.019675 Loss_G: 0.011667 Loss_D_real: -0.040520 Loss_D_fake -0.020845
[1384/5000][345/535][142832] Loss_D: -0.020576 Loss_G: -0.000561 Loss_D_real: -0.010428 Loss_D_fake 0.010148
[1384/5000][350/535][142833] Loss_D: -0.020639 Loss_G: 0.000321 Loss_D_real: -0.001634 Loss_D_fake 0.019005
[1384/5000][355/535][142834] Loss_D: -0.020926 Loss_G: -0.002903 Loss_D_real: -0.016074 Loss_D_fake 0.004852
[1384/5000][360/535][142835] Loss_D: -0.020143 Loss_G: -0.000276 Loss_D_real: -0.001778 Loss_D_fake 0.018364
[1384/5000][365/535][142836] Loss_D: -0.019954 Loss_G: 0.019966 Loss_D_real: -0.018017 Loss_D_fake 0.001937
[1384/5000][370/535][142837] Loss_D: -0.019729 Loss_G: 0.022405 Loss_D_real: -0.037234 Loss_D_fake -0.017505
[1384/5000][375/535][142838] Loss_D: -0.019752 Loss_G: 0.000760 Loss_D_real: -0.010631 Loss_D_fake 0.009121
[1384/5000][380/535][142839] Loss_D: -0.018109 Loss_G: 0.029656 Loss_D_real: -0.018350 Loss_D_fake -0.000241
[1384/5000][385/535][142840] Loss_D: -0.019397 Loss_G: -0.000130 Loss_D_real: -0.019241 Loss_D_fake 0.000156
[1384/5000][390/535][142841] Loss_D: -0.021681 Loss_G: 0.004227 Loss_D_real: -0.018578 Loss_D_fake 0.003103
[1384/5000][395/535][142842] Loss_D: -0.020093 Loss_G: 0.022401 Loss_D_real: -0.022798 Loss_D_fake -0.002705
[1384/5000][400/535][142843] Loss_D: -0.019490 Loss_G: 0.005648 Loss_D_real: -0.024879 Loss_D_fake -0.005389
[1384/5000][405/535][142844] Loss_D: -0.020193 Loss_G: -0.012673 Loss_D_real: -0.000254 Loss_D_fake 0.019939
[1384/5000][410/535][142845] Loss_D: -0.020766 Loss_G: 0.006786 Loss_D_real: -0.025136 Loss_D_fake -0.004370
[1384/5000][415/535][142846] Loss_D: -0.019718 Loss_G: -0.014598 Loss_D_real: 0.002368 Loss_D_fake 0.022086
[1384/5000][420/535][142847] Loss_D: -0.019166 Loss_G: 0.020213 Loss_D_real: -0.035254 Loss_D_fake -0.016088
[1384/5000][425/535][142848] Loss_D: -0.019800 Loss_G: -0.000402 Loss_D_real: -0.009744 Loss_D_fake 0.010055
[1384/5000][430/535][142849] Loss_D: -0.021414 Loss_G: 0.003955 Loss_D_real: -0.008502 Loss_D_fake 0.012912
[1384/5000][435/535][142850] Loss_D: -0.020081 Loss_G: -0.021642 Loss_D_real: -0.014269 Loss_D_fake 0.005812
[1384/5000][440/535][142851] Loss_D: -0.020721 Loss_G: 0.011779 Loss_D_real: 0.001387 Loss_D_fake 0.022108
[1384/5000][445/535][142852] Loss_D: -0.019633 Loss_G: -0.006983 Loss_D_real: -0.014122 Loss_D_fake 0.005510
[1384/5000][450/535][142853] Loss_D: -0.019865 Loss_G: 0.013535 Loss_D_real: -0.003509 Loss_D_fake 0.016356
[1384/5000][455/535][142854] Loss_D: -0.020387 Loss_G: 0.008559 Loss_D_real: -0.016150 Loss_D_fake 0.004237
[1384/5000][460/535][142855] Loss_D: -0.020056 Loss_G: 0.010869 Loss_D_real: -0.019316 Loss_D_fake 0.000740
[1384/5000][465/535][142856] Loss_D: -0.020598 Loss_G: 0.000593 Loss_D_real: -0.026665 Loss_D_fake -0.006067
[1384/5000][470/535][142857] Loss_D: -0.019817 Loss_G: 0.003745 Loss_D_real: -0.021399 Loss_D_fake -0.001582
[1384/5000][475/535][142858] Loss_D: -0.018887 Loss_G: 0.025910 Loss_D_real: -0.031671 Loss_D_fake -0.012783
[1384/5000][480/535][142859] Loss_D: -0.016650 Loss_G: -0.006357 Loss_D_real: 0.011029 Loss_D_fake 0.027679
[1384/5000][485/535][142860] Loss_D: -0.019262 Loss_G: 0.004104 Loss_D_real: -0.020474 Loss_D_fake -0.001211
[1384/5000][490/535][142861] Loss_D: -0.019485 Loss_G: 0.007409 Loss_D_real: -0.009269 Loss_D_fake 0.010216
[1384/5000][495/535][142862] Loss_D: -0.017503 Loss_G: -0.010870 Loss_D_real: -0.001908 Loss_D_fake 0.015595
[1384/5000][500/535][142863] Loss_D: -0.019975 Loss_G: 0.006045 Loss_D_real: -0.014725 Loss_D_fake 0.005250
[1384/5000][505/535][142864] Loss_D: -0.018951 Loss_G: -0.000828 Loss_D_real: -0.020912 Loss_D_fake -0.001961
[1384/5000][510/535][142865] Loss_D: -0.019327 Loss_G: -0.005349 Loss_D_real: -0.004668 Loss_D_fake 0.014658
[1384/5000][515/535][142866] Loss_D: -0.020472 Loss_G: 0.004486 Loss_D_real: -0.019002 Loss_D_fake 0.001471
[1384/5000][520/535][142867] Loss_D: -0.019476 Loss_G: -0.008401 Loss_D_real: 0.003159 Loss_D_fake 0.022635
[1384/5000][525/535][142868] Loss_D: -0.019454 Loss_G: 0.010118 Loss_D_real: -0.008493 Loss_D_fake 0.010961
[1384/5000][530/535][142869] Loss_D: -0.019655 Loss_G: 0.012587 Loss_D_real: -0.023131 Loss_D_fake -0.003476
[1384/5000][535/535][142870] Loss_D: -0.017965 Loss_G: 0.050504 Loss_D_real: -0.031142 Loss_D_fake -0.013176
[1385/5000][5/535][142871] Loss_D: -0.019277 Loss_G: 0.001896 Loss_D_real: -0.017117 Loss_D_fake 0.002160
[1385/5000][10/535][142872] Loss_D: -0.019385 Loss_G: -0.014305 Loss_D_real: -0.010541 Loss_D_fake 0.008844
[1385/5000][15/535][142873] Loss_D: -0.018940 Loss_G: 0.014896 Loss_D_real: -0.017886 Loss_D_fake 0.001054
[1385/5000][20/535][142874] Loss_D: -0.020157 Loss_G: 0.004517 Loss_D_real: -0.003869 Loss_D_fake 0.016288
[1385/5000][25/535][142875] Loss_D: -0.018382 Loss_G: 0.015826 Loss_D_real: -0.010469 Loss_D_fake 0.007912
[1385/5000][30/535][142876] Loss_D: -0.021198 Loss_G: 0.005863 Loss_D_real: -0.031380 Loss_D_fake -0.010182
[1385/5000][35/535][142877] Loss_D: -0.019390 Loss_G: -0.001144 Loss_D_real: -0.017391 Loss_D_fake 0.001999
[1385/5000][40/535][142878] Loss_D: -0.018584 Loss_G: -0.009122 Loss_D_real: -0.008012 Loss_D_fake 0.010572
[1385/5000][45/535][142879] Loss_D: -0.019121 Loss_G: -0.009953 Loss_D_real: -0.008386 Loss_D_fake 0.010735
[1385/5000][50/535][142880] Loss_D: -0.016862 Loss_G: -0.014982 Loss_D_real: 0.008147 Loss_D_fake 0.025009
[1385/5000][55/535][142881] Loss_D: -0.018689 Loss_G: 0.024593 Loss_D_real: -0.029774 Loss_D_fake -0.011085
[1385/5000][60/535][142882] Loss_D: -0.019580 Loss_G: -0.002696 Loss_D_real: -0.013071 Loss_D_fake 0.006510
[1385/5000][65/535][142883] Loss_D: -0.018947 Loss_G: -0.000363 Loss_D_real: -0.016631 Loss_D_fake 0.002316
[1385/5000][70/535][142884] Loss_D: -0.019448 Loss_G: 0.023082 Loss_D_real: -0.029942 Loss_D_fake -0.010494
[1385/5000][75/535][142885] Loss_D: -0.019566 Loss_G: -0.014893 Loss_D_real: -0.003433 Loss_D_fake 0.016133
[1385/5000][80/535][142886] Loss_D: -0.019627 Loss_G: 0.013679 Loss_D_real: -0.013313 Loss_D_fake 0.006315
[1385/5000][85/535][142887] Loss_D: -0.020749 Loss_G: 0.016050 Loss_D_real: -0.009352 Loss_D_fake 0.011397
[1385/5000][90/535][142888] Loss_D: -0.019701 Loss_G: 0.011232 Loss_D_real: -0.021825 Loss_D_fake -0.002124
[1385/5000][95/535][142889] Loss_D: -0.020813 Loss_G: 0.002237 Loss_D_real: -0.016216 Loss_D_fake 0.004597
[1385/5000][100/535][142890] Loss_D: -0.021501 Loss_G: 0.017876 Loss_D_real: -0.023582 Loss_D_fake -0.002081
[1385/5000][105/535][142891] Loss_D: -0.021365 Loss_G: -0.000514 Loss_D_real: -0.015021 Loss_D_fake 0.006344
[1385/5000][110/535][142892] Loss_D: -0.020563 Loss_G: -0.001214 Loss_D_real: 0.005363 Loss_D_fake 0.025927
[1385/5000][115/535][142893] Loss_D: -0.019508 Loss_G: 0.011929 Loss_D_real: -0.030763 Loss_D_fake -0.011255
[1385/5000][120/535][142894] Loss_D: -0.019333 Loss_G: 0.021710 Loss_D_real: -0.018811 Loss_D_fake 0.000521
[1385/5000][125/535][142895] Loss_D: -0.020419 Loss_G: 0.005510 Loss_D_real: -0.013303 Loss_D_fake 0.007116
[1385/5000][130/535][142896] Loss_D: -0.018082 Loss_G: -0.013257 Loss_D_real: 0.008098 Loss_D_fake 0.026180
[1385/5000][135/535][142897] Loss_D: -0.019583 Loss_G: 0.001792 Loss_D_real: -0.010522 Loss_D_fake 0.009061
[1385/5000][140/535][142898] Loss_D: -0.020220 Loss_G: 0.003746 Loss_D_real: -0.025411 Loss_D_fake -0.005191
[1385/5000][145/535][142899] Loss_D: -0.019837 Loss_G: -0.011716 Loss_D_real: -0.010749 Loss_D_fake 0.009088
[1385/5000][150/535][142900] Loss_D: -0.018795 Loss_G: 0.026911 Loss_D_real: -0.027554 Loss_D_fake -0.008758
[1385/5000][155/535][142901] Loss_D: -0.018429 Loss_G: 0.017557 Loss_D_real: -0.014829 Loss_D_fake 0.003600
[1385/5000][160/535][142902] Loss_D: -0.019683 Loss_G: 0.016627 Loss_D_real: -0.027089 Loss_D_fake -0.007407
[1385/5000][165/535][142903] Loss_D: -0.018998 Loss_G: 0.013324 Loss_D_real: -0.016708 Loss_D_fake 0.002289
[1385/5000][170/535][142904] Loss_D: -0.021080 Loss_G: 0.002240 Loss_D_real: -0.023322 Loss_D_fake -0.002242
[1385/5000][175/535][142905] Loss_D: -0.020169 Loss_G: 0.014418 Loss_D_real: -0.017588 Loss_D_fake 0.002580
[1385/5000][180/535][142906] Loss_D: -0.019464 Loss_G: 0.018777 Loss_D_real: -0.027339 Loss_D_fake -0.007875
[1385/5000][185/535][142907] Loss_D: -0.019619 Loss_G: -0.005982 Loss_D_real: -0.000077 Loss_D_fake 0.019543
[1385/5000][190/535][142908] Loss_D: -0.019310 Loss_G: -0.012620 Loss_D_real: -0.004841 Loss_D_fake 0.014469
[1385/5000][195/535][142909] Loss_D: -0.019986 Loss_G: 0.000034 Loss_D_real: -0.001265 Loss_D_fake 0.018721
[1385/5000][200/535][142910] Loss_D: -0.020454 Loss_G: 0.007153 Loss_D_real: -0.018461 Loss_D_fake 0.001993
[1385/5000][205/535][142911] Loss_D: -0.019917 Loss_G: 0.006741 Loss_D_real: -0.025691 Loss_D_fake -0.005773
[1385/5000][210/535][142912] Loss_D: -0.020691 Loss_G: 0.005784 Loss_D_real: -0.010987 Loss_D_fake 0.009704
[1385/5000][215/535][142913] Loss_D: -0.018765 Loss_G: 0.021222 Loss_D_real: -0.023849 Loss_D_fake -0.005084
[1385/5000][220/535][142914] Loss_D: -0.020841 Loss_G: 0.004974 Loss_D_real: -0.013271 Loss_D_fake 0.007570
[1385/5000][225/535][142915] Loss_D: -0.021284 Loss_G: 0.011132 Loss_D_real: -0.022259 Loss_D_fake -0.000975
[1385/5000][230/535][142916] Loss_D: -0.018227 Loss_G: -0.016980 Loss_D_real: 0.007137 Loss_D_fake 0.025364
[1385/5000][235/535][142917] Loss_D: -0.019977 Loss_G: 0.027987 Loss_D_real: -0.030477 Loss_D_fake -0.010500
[1385/5000][240/535][142918] Loss_D: -0.020397 Loss_G: 0.004510 Loss_D_real: -0.037896 Loss_D_fake -0.017499
[1385/5000][245/535][142919] Loss_D: -0.019613 Loss_G: 0.018118 Loss_D_real: -0.027558 Loss_D_fake -0.007945
[1385/5000][250/535][142920] Loss_D: -0.020028 Loss_G: -0.015360 Loss_D_real: -0.012848 Loss_D_fake 0.007180
[1385/5000][255/535][142921] Loss_D: -0.019482 Loss_G: 0.023713 Loss_D_real: -0.022220 Loss_D_fake -0.002738
[1385/5000][260/535][142922] Loss_D: -0.019869 Loss_G: 0.000972 Loss_D_real: -0.023514 Loss_D_fake -0.003645
[1385/5000][265/535][142923] Loss_D: -0.020593 Loss_G: 0.009213 Loss_D_real: -0.022050 Loss_D_fake -0.001456
[1385/5000][270/535][142924] Loss_D: -0.019067 Loss_G: -0.010414 Loss_D_real: -0.008176 Loss_D_fake 0.010891
[1385/5000][275/535][142925] Loss_D: -0.018363 Loss_G: -0.011940 Loss_D_real: -0.002824 Loss_D_fake 0.015539
[1385/5000][280/535][142926] Loss_D: -0.019207 Loss_G: 0.027790 Loss_D_real: -0.022255 Loss_D_fake -0.003047
[1385/5000][285/535][142927] Loss_D: -0.020560 Loss_G: 0.003806 Loss_D_real: -0.014426 Loss_D_fake 0.006134
[1385/5000][290/535][142928] Loss_D: -0.019566 Loss_G: 0.017638 Loss_D_real: -0.031043 Loss_D_fake -0.011477
[1385/5000][295/535][142929] Loss_D: -0.020868 Loss_G: 0.018583 Loss_D_real: -0.025352 Loss_D_fake -0.004484
[1385/5000][300/535][142930] Loss_D: -0.017669 Loss_G: 0.033538 Loss_D_real: -0.023741 Loss_D_fake -0.006072
[1385/5000][305/535][142931] Loss_D: -0.019382 Loss_G: -0.015927 Loss_D_real: -0.003573 Loss_D_fake 0.015809
[1385/5000][310/535][142932] Loss_D: -0.020188 Loss_G: 0.011960 Loss_D_real: -0.016520 Loss_D_fake 0.003668
[1385/5000][315/535][142933] Loss_D: -0.021166 Loss_G: 0.010449 Loss_D_real: -0.017669 Loss_D_fake 0.003497
[1385/5000][320/535][142934] Loss_D: -0.019616 Loss_G: 0.004079 Loss_D_real: -0.014724 Loss_D_fake 0.004892
[1385/5000][325/535][142935] Loss_D: -0.020470 Loss_G: 0.016700 Loss_D_real: -0.022319 Loss_D_fake -0.001849
[1385/5000][330/535][142936] Loss_D: -0.019862 Loss_G: -0.017578 Loss_D_real: -0.003023 Loss_D_fake 0.016839
[1385/5000][335/535][142937] Loss_D: -0.019133 Loss_G: -0.001724 Loss_D_real: -0.010073 Loss_D_fake 0.009059
[1385/5000][340/535][142938] Loss_D: -0.018360 Loss_G: 0.028496 Loss_D_real: -0.022093 Loss_D_fake -0.003733
[1385/5000][345/535][142939] Loss_D: -0.019594 Loss_G: 0.013005 Loss_D_real: -0.023819 Loss_D_fake -0.004224
[1385/5000][350/535][142940] Loss_D: -0.019548 Loss_G: 0.010253 Loss_D_real: -0.007410 Loss_D_fake 0.012139
[1385/5000][355/535][142941] Loss_D: -0.020649 Loss_G: -0.002894 Loss_D_real: -0.008497 Loss_D_fake 0.012152
[1385/5000][360/535][142942] Loss_D: -0.020187 Loss_G: -0.001514 Loss_D_real: -0.022040 Loss_D_fake -0.001853
[1385/5000][365/535][142943] Loss_D: -0.020074 Loss_G: 0.026478 Loss_D_real: -0.022888 Loss_D_fake -0.002813
[1385/5000][370/535][142944] Loss_D: -0.020783 Loss_G: 0.002677 Loss_D_real: -0.014829 Loss_D_fake 0.005954
[1385/5000][375/535][142945] Loss_D: -0.021048 Loss_G: 0.007252 Loss_D_real: -0.007397 Loss_D_fake 0.013650
[1385/5000][380/535][142946] Loss_D: -0.020073 Loss_G: -0.002149 Loss_D_real: -0.014244 Loss_D_fake 0.005829
[1385/5000][385/535][142947] Loss_D: -0.020725 Loss_G: 0.030339 Loss_D_real: -0.024272 Loss_D_fake -0.003547
[1385/5000][390/535][142948] Loss_D: -0.019119 Loss_G: 0.012703 Loss_D_real: -0.031197 Loss_D_fake -0.012077
[1385/5000][395/535][142949] Loss_D: -0.018877 Loss_G: -0.006973 Loss_D_real: 0.013016 Loss_D_fake 0.031893
[1385/5000][400/535][142950] Loss_D: -0.019021 Loss_G: 0.011915 Loss_D_real: -0.030744 Loss_D_fake -0.011723
[1385/5000][405/535][142951] Loss_D: -0.019570 Loss_G: 0.013308 Loss_D_real: -0.032434 Loss_D_fake -0.012864
[1385/5000][410/535][142952] Loss_D: -0.019818 Loss_G: -0.010575 Loss_D_real: -0.005734 Loss_D_fake 0.014084
[1385/5000][415/535][142953] Loss_D: -0.019437 Loss_G: 0.001727 Loss_D_real: -0.019819 Loss_D_fake -0.000381
[1385/5000][420/535][142954] Loss_D: -0.020235 Loss_G: -0.002503 Loss_D_real: -0.007145 Loss_D_fake 0.013090
[1385/5000][425/535][142955] Loss_D: -0.019536 Loss_G: 0.014249 Loss_D_real: -0.016841 Loss_D_fake 0.002695
[1385/5000][430/535][142956] Loss_D: -0.017657 Loss_G: 0.010740 Loss_D_real: -0.028264 Loss_D_fake -0.010607
[1385/5000][435/535][142957] Loss_D: -0.018065 Loss_G: -0.007730 Loss_D_real: -0.017569 Loss_D_fake 0.000496
[1385/5000][440/535][142958] Loss_D: -0.018578 Loss_G: 0.000555 Loss_D_real: -0.017091 Loss_D_fake 0.001487
[1385/5000][445/535][142959] Loss_D: -0.020870 Loss_G: 0.019297 Loss_D_real: -0.024859 Loss_D_fake -0.003989
[1385/5000][450/535][142960] Loss_D: -0.020023 Loss_G: 0.010855 Loss_D_real: -0.026122 Loss_D_fake -0.006099
[1385/5000][455/535][142961] Loss_D: -0.020237 Loss_G: 0.001125 Loss_D_real: -0.007669 Loss_D_fake 0.012568
[1385/5000][460/535][142962] Loss_D: -0.020025 Loss_G: -0.005742 Loss_D_real: -0.002853 Loss_D_fake 0.017172
[1385/5000][465/535][142963] Loss_D: -0.019509 Loss_G: 0.001273 Loss_D_real: 0.001432 Loss_D_fake 0.020941
[1385/5000][470/535][142964] Loss_D: -0.019720 Loss_G: -0.004493 Loss_D_real: -0.004494 Loss_D_fake 0.015227
[1385/5000][475/535][142965] Loss_D: -0.019331 Loss_G: 0.007103 Loss_D_real: -0.019267 Loss_D_fake 0.000063
[1385/5000][480/535][142966] Loss_D: -0.019490 Loss_G: -0.010882 Loss_D_real: 0.003892 Loss_D_fake 0.023382
[1385/5000][485/535][142967] Loss_D: -0.020644 Loss_G: 0.031735 Loss_D_real: -0.027147 Loss_D_fake -0.006503
[1385/5000][490/535][142968] Loss_D: -0.019991 Loss_G: -0.000300 Loss_D_real: -0.020638 Loss_D_fake -0.000647
[1385/5000][495/535][142969] Loss_D: -0.020014 Loss_G: 0.025024 Loss_D_real: -0.013202 Loss_D_fake 0.006811
[1385/5000][500/535][142970] Loss_D: -0.020184 Loss_G: 0.007986 Loss_D_real: -0.022789 Loss_D_fake -0.002605
[1385/5000][505/535][142971] Loss_D: -0.021113 Loss_G: 0.003909 Loss_D_real: -0.021397 Loss_D_fake -0.000284
[1385/5000][510/535][142972] Loss_D: -0.020543 Loss_G: -0.002758 Loss_D_real: -0.001979 Loss_D_fake 0.018565
[1385/5000][515/535][142973] Loss_D: -0.018065 Loss_G: 0.013094 Loss_D_real: -0.025802 Loss_D_fake -0.007737
[1385/5000][520/535][142974] Loss_D: -0.020779 Loss_G: -0.001260 Loss_D_real: -0.005777 Loss_D_fake 0.015002
[1385/5000][525/535][142975] Loss_D: -0.020160 Loss_G: -0.005879 Loss_D_real: -0.026400 Loss_D_fake -0.006240
[1385/5000][530/535][142976] Loss_D: -0.019882 Loss_G: 0.005039 Loss_D_real: -0.010071 Loss_D_fake 0.009811
[1385/5000][535/535][142977] Loss_D: -0.017046 Loss_G: 0.028654 Loss_D_real: -0.025638 Loss_D_fake -0.008593
[1386/5000][5/535][142978] Loss_D: -0.019660 Loss_G: 0.003586 Loss_D_real: -0.008860 Loss_D_fake 0.010800
[1386/5000][10/535][142979] Loss_D: -0.019267 Loss_G: -0.019971 Loss_D_real: -0.002531 Loss_D_fake 0.016736
[1386/5000][15/535][142980] Loss_D: -0.018776 Loss_G: -0.008163 Loss_D_real: -0.014490 Loss_D_fake 0.004286
[1386/5000][20/535][142981] Loss_D: -0.019776 Loss_G: 0.009691 Loss_D_real: -0.013769 Loss_D_fake 0.006007
[1386/5000][25/535][142982] Loss_D: -0.018529 Loss_G: 0.014614 Loss_D_real: -0.028836 Loss_D_fake -0.010307
[1386/5000][30/535][142983] Loss_D: -0.023197 Loss_G: 0.010156 Loss_D_real: -0.011038 Loss_D_fake 0.012159
[1386/5000][35/535][142984] Loss_D: -0.019637 Loss_G: -0.004162 Loss_D_real: -0.011458 Loss_D_fake 0.008178
[1386/5000][40/535][142985] Loss_D: -0.019611 Loss_G: 0.000736 Loss_D_real: -0.002083 Loss_D_fake 0.017527
[1386/5000][45/535][142986] Loss_D: -0.019571 Loss_G: -0.002733 Loss_D_real: -0.014956 Loss_D_fake 0.004615
[1386/5000][50/535][142987] Loss_D: -0.020068 Loss_G: 0.013116 Loss_D_real: -0.015114 Loss_D_fake 0.004954
[1386/5000][55/535][142988] Loss_D: -0.020208 Loss_G: 0.008991 Loss_D_real: -0.014934 Loss_D_fake 0.005275
[1386/5000][60/535][142989] Loss_D: -0.019104 Loss_G: 0.000698 Loss_D_real: -0.005012 Loss_D_fake 0.014092
[1386/5000][65/535][142990] Loss_D: -0.019716 Loss_G: 0.004212 Loss_D_real: -0.009657 Loss_D_fake 0.010059
[1386/5000][70/535][142991] Loss_D: -0.019446 Loss_G: 0.016729 Loss_D_real: -0.012727 Loss_D_fake 0.006719
[1386/5000][75/535][142992] Loss_D: -0.020655 Loss_G: 0.021392 Loss_D_real: -0.030616 Loss_D_fake -0.009961
[1386/5000][80/535][142993] Loss_D: -0.020978 Loss_G: -0.020789 Loss_D_real: -0.006618 Loss_D_fake 0.014361
[1386/5000][85/535][142994] Loss_D: -0.019828 Loss_G: 0.007385 Loss_D_real: -0.013946 Loss_D_fake 0.005882
[1386/5000][90/535][142995] Loss_D: -0.020180 Loss_G: 0.013729 Loss_D_real: -0.019222 Loss_D_fake 0.000958
[1386/5000][95/535][142996] Loss_D: -0.020042 Loss_G: 0.002973 Loss_D_real: -0.023434 Loss_D_fake -0.003392
[1386/5000][100/535][142997] Loss_D: -0.017559 Loss_G: 0.028241 Loss_D_real: -0.036847 Loss_D_fake -0.019288
[1386/5000][105/535][142998] Loss_D: -0.020219 Loss_G: 0.011291 Loss_D_real: -0.019858 Loss_D_fake 0.000362
[1386/5000][110/535][142999] Loss_D: -0.020799 Loss_G: -0.006138 Loss_D_real: -0.009357 Loss_D_fake 0.011443
[1386/5000][115/535][143000] Loss_D: -0.018647 Loss_G: -0.017141 Loss_D_real: -0.000611 Loss_D_fake 0.018036
[1386/5000][215/535][143001] Loss_D: -0.022877 Loss_G: 0.000750 Loss_D_real: -0.008143 Loss_D_fake 0.014734
[1386/5000][220/535][143002] Loss_D: -0.021891 Loss_G: 0.001651 Loss_D_real: -0.015268 Loss_D_fake 0.006623
[1386/5000][225/535][143003] Loss_D: -0.018161 Loss_G: -0.006710 Loss_D_real: -0.004790 Loss_D_fake 0.013371
[1386/5000][230/535][143004] Loss_D: -0.018378 Loss_G: 0.012356 Loss_D_real: -0.036864 Loss_D_fake -0.018486
[1386/5000][235/535][143005] Loss_D: -0.018927 Loss_G: -0.009381 Loss_D_real: -0.008504 Loss_D_fake 0.010423
[1386/5000][240/535][143006] Loss_D: -0.019375 Loss_G: -0.016846 Loss_D_real: -0.012009 Loss_D_fake 0.007366
[1386/5000][245/535][143007] Loss_D: -0.017943 Loss_G: 0.001212 Loss_D_real: -0.004041 Loss_D_fake 0.013902
[1386/5000][250/535][143008] Loss_D: -0.019225 Loss_G: 0.012395 Loss_D_real: -0.016738 Loss_D_fake 0.002487
[1386/5000][255/535][143009] Loss_D: -0.018929 Loss_G: 0.005193 Loss_D_real: -0.017989 Loss_D_fake 0.000941
[1386/5000][260/535][143010] Loss_D: -0.019327 Loss_G: 0.020811 Loss_D_real: -0.020683 Loss_D_fake -0.001356
[1386/5000][265/535][143011] Loss_D: -0.018997 Loss_G: -0.016815 Loss_D_real: -0.007035 Loss_D_fake 0.011962
[1386/5000][270/535][143012] Loss_D: -0.018564 Loss_G: -0.006683 Loss_D_real: -0.009389 Loss_D_fake 0.009174
[1386/5000][275/535][143013] Loss_D: -0.017349 Loss_G: -0.009284 Loss_D_real: -0.002100 Loss_D_fake 0.015249
[1386/5000][280/535][143014] Loss_D: -0.017400 Loss_G: 0.027094 Loss_D_real: -0.033603 Loss_D_fake -0.016203
[1386/5000][285/535][143015] Loss_D: -0.019175 Loss_G: -0.002592 Loss_D_real: -0.018312 Loss_D_fake 0.000863
[1386/5000][290/535][143016] Loss_D: -0.020344 Loss_G: 0.021455 Loss_D_real: -0.022769 Loss_D_fake -0.002425
[1386/5000][295/535][143017] Loss_D: -0.020776 Loss_G: 0.011609 Loss_D_real: -0.011591 Loss_D_fake 0.009185
[1386/5000][300/535][143018] Loss_D: -0.020378 Loss_G: -0.007566 Loss_D_real: -0.018328 Loss_D_fake 0.002050
[1386/5000][305/535][143019] Loss_D: -0.019461 Loss_G: 0.020726 Loss_D_real: -0.020534 Loss_D_fake -0.001073
[1386/5000][310/535][143020] Loss_D: -0.020172 Loss_G: 0.007714 Loss_D_real: -0.023519 Loss_D_fake -0.003347
[1386/5000][315/535][143021] Loss_D: -0.018495 Loss_G: 0.027395 Loss_D_real: -0.034420 Loss_D_fake -0.015926
[1386/5000][320/535][143022] Loss_D: -0.019760 Loss_G: -0.004832 Loss_D_real: -0.018084 Loss_D_fake 0.001676
[1386/5000][325/535][143023] Loss_D: -0.021155 Loss_G: 0.010634 Loss_D_real: -0.013405 Loss_D_fake 0.007750
[1386/5000][330/535][143024] Loss_D: -0.020878 Loss_G: -0.017302 Loss_D_real: -0.010593 Loss_D_fake 0.010285
[1386/5000][335/535][143025] Loss_D: -0.018958 Loss_G: 0.025726 Loss_D_real: -0.032281 Loss_D_fake -0.013323
[1386/5000][340/535][143026] Loss_D: -0.020795 Loss_G: -0.002671 Loss_D_real: -0.000251 Loss_D_fake 0.020543
[1386/5000][345/535][143027] Loss_D: -0.019416 Loss_G: 0.014567 Loss_D_real: -0.029476 Loss_D_fake -0.010060
[1386/5000][350/535][143028] Loss_D: -0.018940 Loss_G: 0.020406 Loss_D_real: -0.020856 Loss_D_fake -0.001916
[1386/5000][355/535][143029] Loss_D: -0.019966 Loss_G: 0.015238 Loss_D_real: -0.020382 Loss_D_fake -0.000416
[1386/5000][360/535][143030] Loss_D: -0.019376 Loss_G: -0.002679 Loss_D_real: -0.001997 Loss_D_fake 0.017379
[1386/5000][365/535][143031] Loss_D: -0.018442 Loss_G: 0.021489 Loss_D_real: -0.029578 Loss_D_fake -0.011136
[1386/5000][370/535][143032] Loss_D: -0.018634 Loss_G: -0.001915 Loss_D_real: -0.013281 Loss_D_fake 0.005353
[1386/5000][375/535][143033] Loss_D: -0.018993 Loss_G: 0.014148 Loss_D_real: -0.035634 Loss_D_fake -0.016640
[1386/5000][380/535][143034] Loss_D: -0.020162 Loss_G: -0.006898 Loss_D_real: -0.009254 Loss_D_fake 0.010908
[1386/5000][385/535][143035] Loss_D: -0.020163 Loss_G: 0.001723 Loss_D_real: -0.019005 Loss_D_fake 0.001158
[1386/5000][390/535][143036] Loss_D: -0.020073 Loss_G: -0.004564 Loss_D_real: -0.010378 Loss_D_fake 0.009695
[1386/5000][395/535][143037] Loss_D: -0.020332 Loss_G: 0.002525 Loss_D_real: -0.021157 Loss_D_fake -0.000825
[1386/5000][400/535][143038] Loss_D: -0.020735 Loss_G: 0.016231 Loss_D_real: -0.009187 Loss_D_fake 0.011548
[1386/5000][405/535][143039] Loss_D: -0.020246 Loss_G: 0.018823 Loss_D_real: -0.015383 Loss_D_fake 0.004863
[1386/5000][410/535][143040] Loss_D: -0.020068 Loss_G: -0.000555 Loss_D_real: -0.015142 Loss_D_fake 0.004926
[1386/5000][415/535][143041] Loss_D: -0.019698 Loss_G: 0.021527 Loss_D_real: -0.037016 Loss_D_fake -0.017317
[1386/5000][420/535][143042] Loss_D: -0.018716 Loss_G: -0.004698 Loss_D_real: 0.008131 Loss_D_fake 0.026847
[1386/5000][425/535][143043] Loss_D: -0.018847 Loss_G: -0.000129 Loss_D_real: -0.016463 Loss_D_fake 0.002384
[1386/5000][430/535][143044] Loss_D: -0.020136 Loss_G: 0.000229 Loss_D_real: -0.013689 Loss_D_fake 0.006446
[1386/5000][435/535][143045] Loss_D: -0.019361 Loss_G: 0.003978 Loss_D_real: -0.006294 Loss_D_fake 0.013066
[1386/5000][440/535][143046] Loss_D: -0.019526 Loss_G: 0.024577 Loss_D_real: -0.027435 Loss_D_fake -0.007910
[1386/5000][445/535][143047] Loss_D: -0.020828 Loss_G: 0.001354 Loss_D_real: -0.013229 Loss_D_fake 0.007598
[1386/5000][450/535][143048] Loss_D: -0.020417 Loss_G: 0.010897 Loss_D_real: -0.018558 Loss_D_fake 0.001859
[1386/5000][455/535][143049] Loss_D: -0.019646 Loss_G: -0.016874 Loss_D_real: -0.002138 Loss_D_fake 0.017508
[1386/5000][460/535][143050] Loss_D: -0.019338 Loss_G: 0.016453 Loss_D_real: -0.024183 Loss_D_fake -0.004845
[1386/5000][465/535][143051] Loss_D: -0.020251 Loss_G: 0.012662 Loss_D_real: -0.022087 Loss_D_fake -0.001835
[1386/5000][470/535][143052] Loss_D: -0.018995 Loss_G: 0.011786 Loss_D_real: -0.017933 Loss_D_fake 0.001061
[1386/5000][475/535][143053] Loss_D: -0.019772 Loss_G: 0.019748 Loss_D_real: -0.027400 Loss_D_fake -0.007629
[1386/5000][480/535][143054] Loss_D: -0.020400 Loss_G: -0.015037 Loss_D_real: -0.009087 Loss_D_fake 0.011313
[1386/5000][485/535][143055] Loss_D: -0.020839 Loss_G: 0.011722 Loss_D_real: -0.030187 Loss_D_fake -0.009348
[1386/5000][490/535][143056] Loss_D: -0.020611 Loss_G: 0.001152 Loss_D_real: -0.013869 Loss_D_fake 0.006742
[1386/5000][495/535][143057] Loss_D: -0.020105 Loss_G: 0.009734 Loss_D_real: -0.015351 Loss_D_fake 0.004754
[1386/5000][500/535][143058] Loss_D: -0.019853 Loss_G: -0.010977 Loss_D_real: -0.001634 Loss_D_fake 0.018219
[1386/5000][505/535][143059] Loss_D: -0.021097 Loss_G: 0.005610 Loss_D_real: -0.003690 Loss_D_fake 0.017408
[1386/5000][510/535][143060] Loss_D: -0.018694 Loss_G: 0.011601 Loss_D_real: -0.018748 Loss_D_fake -0.000053
[1386/5000][515/535][143061] Loss_D: -0.018988 Loss_G: 0.011165 Loss_D_real: -0.030934 Loss_D_fake -0.011946
[1386/5000][520/535][143062] Loss_D: -0.020142 Loss_G: 0.007057 Loss_D_real: -0.019504 Loss_D_fake 0.000638
[1386/5000][525/535][143063] Loss_D: -0.021084 Loss_G: -0.002912 Loss_D_real: -0.008015 Loss_D_fake 0.013069
[1386/5000][530/535][143064] Loss_D: -0.019825 Loss_G: 0.014610 Loss_D_real: -0.017057 Loss_D_fake 0.002768
[1386/5000][535/535][143065] Loss_D: -0.021048 Loss_G: 0.020015 Loss_D_real: -0.018600 Loss_D_fake 0.002448
[1387/5000][5/535][143066] Loss_D: -0.019246 Loss_G: -0.005364 Loss_D_real: 0.003781 Loss_D_fake 0.023027
[1387/5000][10/535][143067] Loss_D: -0.019066 Loss_G: -0.004480 Loss_D_real: -0.016912 Loss_D_fake 0.002154
[1387/5000][15/535][143068] Loss_D: -0.019138 Loss_G: 0.016440 Loss_D_real: -0.031240 Loss_D_fake -0.012103
[1387/5000][20/535][143069] Loss_D: -0.020383 Loss_G: -0.003032 Loss_D_real: -0.011648 Loss_D_fake 0.008734
[1387/5000][25/535][143070] Loss_D: -0.019639 Loss_G: 0.006300 Loss_D_real: -0.028398 Loss_D_fake -0.008759
[1387/5000][30/535][143071] Loss_D: -0.019747 Loss_G: 0.020004 Loss_D_real: -0.032395 Loss_D_fake -0.012648
[1387/5000][35/535][143072] Loss_D: -0.019622 Loss_G: -0.002940 Loss_D_real: -0.014727 Loss_D_fake 0.004895
[1387/5000][40/535][143073] Loss_D: -0.018857 Loss_G: 0.009985 Loss_D_real: -0.015770 Loss_D_fake 0.003087
[1387/5000][45/535][143074] Loss_D: -0.019907 Loss_G: 0.002962 Loss_D_real: -0.003474 Loss_D_fake 0.016432
[1387/5000][50/535][143075] Loss_D: -0.019854 Loss_G: -0.000685 Loss_D_real: -0.005084 Loss_D_fake 0.014771
[1387/5000][55/535][143076] Loss_D: -0.018791 Loss_G: 0.022362 Loss_D_real: -0.034323 Loss_D_fake -0.015532
[1387/5000][60/535][143077] Loss_D: -0.019436 Loss_G: 0.024840 Loss_D_real: -0.029429 Loss_D_fake -0.009992
[1387/5000][65/535][143078] Loss_D: -0.019173 Loss_G: -0.004026 Loss_D_real: -0.012116 Loss_D_fake 0.007057
[1387/5000][70/535][143079] Loss_D: -0.018761 Loss_G: 0.009819 Loss_D_real: -0.021851 Loss_D_fake -0.003090
[1387/5000][75/535][143080] Loss_D: -0.019406 Loss_G: -0.011370 Loss_D_real: -0.009465 Loss_D_fake 0.009941
[1387/5000][80/535][143081] Loss_D: -0.019286 Loss_G: 0.003147 Loss_D_real: -0.011846 Loss_D_fake 0.007440
[1387/5000][85/535][143082] Loss_D: -0.019879 Loss_G: 0.020181 Loss_D_real: -0.014870 Loss_D_fake 0.005009
[1387/5000][90/535][143083] Loss_D: -0.019561 Loss_G: 0.008664 Loss_D_real: -0.017605 Loss_D_fake 0.001956
[1387/5000][95/535][143084] Loss_D: -0.021057 Loss_G: 0.009351 Loss_D_real: -0.020027 Loss_D_fake 0.001031
[1387/5000][100/535][143085] Loss_D: -0.019680 Loss_G: 0.023332 Loss_D_real: -0.025611 Loss_D_fake -0.005932
[1387/5000][105/535][143086] Loss_D: -0.019435 Loss_G: 0.027478 Loss_D_real: -0.034441 Loss_D_fake -0.015006
[1387/5000][110/535][143087] Loss_D: -0.020096 Loss_G: -0.013039 Loss_D_real: -0.015918 Loss_D_fake 0.004178
[1387/5000][115/535][143088] Loss_D: -0.020269 Loss_G: 0.005684 Loss_D_real: -0.023293 Loss_D_fake -0.003024
[1387/5000][120/535][143089] Loss_D: -0.021425 Loss_G: 0.005363 Loss_D_real: -0.023016 Loss_D_fake -0.001591
[1387/5000][125/535][143090] Loss_D: -0.020746 Loss_G: -0.005343 Loss_D_real: -0.001060 Loss_D_fake 0.019686
[1387/5000][130/535][143091] Loss_D: -0.020595 Loss_G: 0.007075 Loss_D_real: -0.013935 Loss_D_fake 0.006660
[1387/5000][135/535][143092] Loss_D: -0.019794 Loss_G: -0.002291 Loss_D_real: -0.024151 Loss_D_fake -0.004357
[1387/5000][140/535][143093] Loss_D: -0.019833 Loss_G: -0.013865 Loss_D_real: -0.001057 Loss_D_fake 0.018776
[1387/5000][145/535][143094] Loss_D: -0.019561 Loss_G: 0.015546 Loss_D_real: -0.028093 Loss_D_fake -0.008532
[1387/5000][150/535][143095] Loss_D: -0.020079 Loss_G: 0.000455 Loss_D_real: -0.009400 Loss_D_fake 0.010678
[1387/5000][155/535][143096] Loss_D: -0.019147 Loss_G: -0.006354 Loss_D_real: -0.005990 Loss_D_fake 0.013157
[1387/5000][160/535][143097] Loss_D: -0.017183 Loss_G: 0.020158 Loss_D_real: -0.035000 Loss_D_fake -0.017817
[1387/5000][165/535][143098] Loss_D: -0.020277 Loss_G: 0.022146 Loss_D_real: -0.027985 Loss_D_fake -0.007708
[1387/5000][170/535][143099] Loss_D: -0.016060 Loss_G: -0.013710 Loss_D_real: 0.001742 Loss_D_fake 0.017803
[1387/5000][175/535][143100] Loss_D: -0.019184 Loss_G: 0.011571 Loss_D_real: -0.022903 Loss_D_fake -0.003719
[1387/5000][180/535][143101] Loss_D: -0.019623 Loss_G: -0.004003 Loss_D_real: -0.015758 Loss_D_fake 0.003865
[1387/5000][185/535][143102] Loss_D: -0.019180 Loss_G: -0.006601 Loss_D_real: -0.018767 Loss_D_fake 0.000413
[1387/5000][190/535][143103] Loss_D: -0.018431 Loss_G: -0.002590 Loss_D_real: -0.002925 Loss_D_fake 0.015506
[1387/5000][195/535][143104] Loss_D: -0.018765 Loss_G: -0.001028 Loss_D_real: -0.015121 Loss_D_fake 0.003644
[1387/5000][200/535][143105] Loss_D: -0.019810 Loss_G: 0.012479 Loss_D_real: -0.017049 Loss_D_fake 0.002760
[1387/5000][205/535][143106] Loss_D: -0.018582 Loss_G: 0.004210 Loss_D_real: -0.005189 Loss_D_fake 0.013393
[1387/5000][210/535][143107] Loss_D: -0.018751 Loss_G: 0.018903 Loss_D_real: -0.019624 Loss_D_fake -0.000873
[1387/5000][215/535][143108] Loss_D: -0.019272 Loss_G: 0.002934 Loss_D_real: -0.020115 Loss_D_fake -0.000843
[1387/5000][220/535][143109] Loss_D: -0.020242 Loss_G: -0.007265 Loss_D_real: -0.000486 Loss_D_fake 0.019757
[1387/5000][225/535][143110] Loss_D: -0.020760 Loss_G: -0.001444 Loss_D_real: -0.020256 Loss_D_fake 0.000504
[1387/5000][230/535][143111] Loss_D: -0.019172 Loss_G: 0.019991 Loss_D_real: -0.025636 Loss_D_fake -0.006464
[1387/5000][235/535][143112] Loss_D: -0.021208 Loss_G: 0.002221 Loss_D_real: -0.017079 Loss_D_fake 0.004129
[1387/5000][240/535][143113] Loss_D: -0.019250 Loss_G: 0.009572 Loss_D_real: -0.019736 Loss_D_fake -0.000486
[1387/5000][245/535][143114] Loss_D: -0.020440 Loss_G: 0.007490 Loss_D_real: -0.026566 Loss_D_fake -0.006125
[1387/5000][250/535][143115] Loss_D: -0.019391 Loss_G: 0.009450 Loss_D_real: -0.024677 Loss_D_fake -0.005286
[1387/5000][255/535][143116] Loss_D: -0.020186 Loss_G: 0.025733 Loss_D_real: -0.025779 Loss_D_fake -0.005593
[1387/5000][260/535][143117] Loss_D: -0.020567 Loss_G: 0.000129 Loss_D_real: -0.012577 Loss_D_fake 0.007990
[1387/5000][265/535][143118] Loss_D: -0.020764 Loss_G: 0.014404 Loss_D_real: -0.016989 Loss_D_fake 0.003774
[1387/5000][270/535][143119] Loss_D: -0.019900 Loss_G: 0.016319 Loss_D_real: -0.022656 Loss_D_fake -0.002756
[1387/5000][275/535][143120] Loss_D: -0.020551 Loss_G: 0.019876 Loss_D_real: -0.036049 Loss_D_fake -0.015498
[1387/5000][280/535][143121] Loss_D: -0.020431 Loss_G: 0.012507 Loss_D_real: -0.018438 Loss_D_fake 0.001993
[1387/5000][285/535][143122] Loss_D: -0.020816 Loss_G: 0.015767 Loss_D_real: -0.032427 Loss_D_fake -0.011611
[1387/5000][290/535][143123] Loss_D: -0.021247 Loss_G: 0.008042 Loss_D_real: -0.029416 Loss_D_fake -0.008168
[1387/5000][295/535][143124] Loss_D: -0.020689 Loss_G: 0.016464 Loss_D_real: -0.018444 Loss_D_fake 0.002246
[1387/5000][300/535][143125] Loss_D: -0.021788 Loss_G: 0.003800 Loss_D_real: -0.001864 Loss_D_fake 0.019924
[1387/5000][305/535][143126] Loss_D: -0.020430 Loss_G: 0.004781 Loss_D_real: -0.007412 Loss_D_fake 0.013017
[1387/5000][310/535][143127] Loss_D: -0.021606 Loss_G: -0.000421 Loss_D_real: -0.011554 Loss_D_fake 0.010052
[1387/5000][315/535][143128] Loss_D: -0.020452 Loss_G: 0.012338 Loss_D_real: -0.014728 Loss_D_fake 0.005725
[1387/5000][320/535][143129] Loss_D: -0.021026 Loss_G: 0.007310 Loss_D_real: -0.017758 Loss_D_fake 0.003268
[1387/5000][325/535][143130] Loss_D: -0.020966 Loss_G: 0.033632 Loss_D_real: -0.018415 Loss_D_fake 0.002551
[1387/5000][330/535][143131] Loss_D: -0.019117 Loss_G: 0.002859 Loss_D_real: -0.012870 Loss_D_fake 0.006246
[1387/5000][335/535][143132] Loss_D: -0.018896 Loss_G: 0.018022 Loss_D_real: -0.027298 Loss_D_fake -0.008402
[1387/5000][340/535][143133] Loss_D: -0.021144 Loss_G: -0.003728 Loss_D_real: -0.028649 Loss_D_fake -0.007505
[1387/5000][345/535][143134] Loss_D: -0.018928 Loss_G: 0.014671 Loss_D_real: -0.035895 Loss_D_fake -0.016967
[1387/5000][350/535][143135] Loss_D: -0.019599 Loss_G: -0.005934 Loss_D_real: -0.014086 Loss_D_fake 0.005513
[1387/5000][355/535][143136] Loss_D: -0.019330 Loss_G: 0.008589 Loss_D_real: -0.011355 Loss_D_fake 0.007975
[1387/5000][360/535][143137] Loss_D: -0.019830 Loss_G: -0.010210 Loss_D_real: -0.008247 Loss_D_fake 0.011584
[1387/5000][365/535][143138] Loss_D: -0.019935 Loss_G: 0.004136 Loss_D_real: -0.010094 Loss_D_fake 0.009841
[1387/5000][370/535][143139] Loss_D: -0.018861 Loss_G: 0.035383 Loss_D_real: -0.025509 Loss_D_fake -0.006648
[1387/5000][375/535][143140] Loss_D: -0.019961 Loss_G: -0.002635 Loss_D_real: -0.006385 Loss_D_fake 0.013576
[1387/5000][380/535][143141] Loss_D: -0.021052 Loss_G: 0.008009 Loss_D_real: -0.021451 Loss_D_fake -0.000400
[1387/5000][385/535][143142] Loss_D: -0.020296 Loss_G: -0.004319 Loss_D_real: -0.013044 Loss_D_fake 0.007252
[1387/5000][390/535][143143] Loss_D: -0.020525 Loss_G: 0.003168 Loss_D_real: -0.010029 Loss_D_fake 0.010495
[1387/5000][395/535][143144] Loss_D: -0.019437 Loss_G: 0.010548 Loss_D_real: -0.032972 Loss_D_fake -0.013535
[1387/5000][400/535][143145] Loss_D: -0.019148 Loss_G: 0.027448 Loss_D_real: -0.032796 Loss_D_fake -0.013648
[1387/5000][405/535][143146] Loss_D: -0.019888 Loss_G: -0.005397 Loss_D_real: -0.021493 Loss_D_fake -0.001605
[1387/5000][410/535][143147] Loss_D: -0.020008 Loss_G: -0.003889 Loss_D_real: -0.005678 Loss_D_fake 0.014330
[1387/5000][415/535][143148] Loss_D: -0.018174 Loss_G: 0.005244 Loss_D_real: -0.015087 Loss_D_fake 0.003087
[1387/5000][420/535][143149] Loss_D: -0.019711 Loss_G: -0.000451 Loss_D_real: -0.017719 Loss_D_fake 0.001991
[1387/5000][425/535][143150] Loss_D: -0.020603 Loss_G: 0.018051 Loss_D_real: -0.020793 Loss_D_fake -0.000190
[1387/5000][430/535][143151] Loss_D: -0.019315 Loss_G: -0.010426 Loss_D_real: -0.004465 Loss_D_fake 0.014850
[1387/5000][435/535][143152] Loss_D: -0.018451 Loss_G: 0.002305 Loss_D_real: -0.010789 Loss_D_fake 0.007662
[1387/5000][440/535][143153] Loss_D: -0.019832 Loss_G: 0.012813 Loss_D_real: -0.024553 Loss_D_fake -0.004721
[1387/5000][445/535][143154] Loss_D: -0.021638 Loss_G: 0.012598 Loss_D_real: -0.012583 Loss_D_fake 0.009055
[1387/5000][450/535][143155] Loss_D: -0.019345 Loss_G: 0.012191 Loss_D_real: -0.023432 Loss_D_fake -0.004087
[1387/5000][455/535][143156] Loss_D: -0.019139 Loss_G: 0.011954 Loss_D_real: -0.019344 Loss_D_fake -0.000205
[1387/5000][460/535][143157] Loss_D: -0.019905 Loss_G: 0.024570 Loss_D_real: -0.023187 Loss_D_fake -0.003282
[1387/5000][465/535][143158] Loss_D: -0.020284 Loss_G: -0.023548 Loss_D_real: -0.002460 Loss_D_fake 0.017824
[1387/5000][470/535][143159] Loss_D: -0.018813 Loss_G: 0.009403 Loss_D_real: -0.010081 Loss_D_fake 0.008732
[1387/5000][475/535][143160] Loss_D: -0.020239 Loss_G: 0.009808 Loss_D_real: -0.020194 Loss_D_fake 0.000044
[1387/5000][480/535][143161] Loss_D: -0.018248 Loss_G: 0.009000 Loss_D_real: -0.024624 Loss_D_fake -0.006377
[1387/5000][485/535][143162] Loss_D: -0.018381 Loss_G: 0.003514 Loss_D_real: -0.016048 Loss_D_fake 0.002333
[1387/5000][490/535][143163] Loss_D: -0.019347 Loss_G: -0.001311 Loss_D_real: -0.007078 Loss_D_fake 0.012269
[1387/5000][495/535][143164] Loss_D: -0.021210 Loss_G: 0.003788 Loss_D_real: -0.013913 Loss_D_fake 0.007297
[1387/5000][500/535][143165] Loss_D: -0.020306 Loss_G: 0.012921 Loss_D_real: -0.011750 Loss_D_fake 0.008557
[1387/5000][505/535][143166] Loss_D: -0.018738 Loss_G: -0.000810 Loss_D_real: 0.000076 Loss_D_fake 0.018814
[1387/5000][510/535][143167] Loss_D: -0.018558 Loss_G: 0.004299 Loss_D_real: -0.025259 Loss_D_fake -0.006701
[1387/5000][515/535][143168] Loss_D: -0.020342 Loss_G: 0.004057 Loss_D_real: -0.023648 Loss_D_fake -0.003306
[1387/5000][520/535][143169] Loss_D: -0.018617 Loss_G: -0.009849 Loss_D_real: -0.004467 Loss_D_fake 0.014150
[1387/5000][525/535][143170] Loss_D: -0.019328 Loss_G: 0.004939 Loss_D_real: -0.015127 Loss_D_fake 0.004201
[1387/5000][530/535][143171] Loss_D: -0.020324 Loss_G: -0.002087 Loss_D_real: -0.009710 Loss_D_fake 0.010613
[1387/5000][535/535][143172] Loss_D: -0.019294 Loss_G: -0.039634 Loss_D_real: -0.012889 Loss_D_fake 0.006405
[1388/5000][5/535][143173] Loss_D: -0.021438 Loss_G: 0.019323 Loss_D_real: -0.019125 Loss_D_fake 0.002313
[1388/5000][10/535][143174] Loss_D: -0.020243 Loss_G: 0.018023 Loss_D_real: -0.023902 Loss_D_fake -0.003659
[1388/5000][15/535][143175] Loss_D: -0.018780 Loss_G: 0.019025 Loss_D_real: -0.017072 Loss_D_fake 0.001709
[1388/5000][20/535][143176] Loss_D: -0.019712 Loss_G: -0.007661 Loss_D_real: -0.012249 Loss_D_fake 0.007463
[1388/5000][25/535][143177] Loss_D: -0.020005 Loss_G: 0.018763 Loss_D_real: -0.015415 Loss_D_fake 0.004590
[1388/5000][30/535][143178] Loss_D: -0.019287 Loss_G: 0.008844 Loss_D_real: -0.022291 Loss_D_fake -0.003004
[1388/5000][35/535][143179] Loss_D: -0.019380 Loss_G: 0.003378 Loss_D_real: -0.018713 Loss_D_fake 0.000668
[1388/5000][40/535][143180] Loss_D: -0.019140 Loss_G: 0.008796 Loss_D_real: -0.022527 Loss_D_fake -0.003387
[1388/5000][45/535][143181] Loss_D: -0.021166 Loss_G: 0.014148 Loss_D_real: -0.024320 Loss_D_fake -0.003154
[1388/5000][50/535][143182] Loss_D: -0.019251 Loss_G: 0.018186 Loss_D_real: -0.033891 Loss_D_fake -0.014640
[1388/5000][55/535][143183] Loss_D: -0.018511 Loss_G: 0.020527 Loss_D_real: -0.031794 Loss_D_fake -0.013283
[1388/5000][60/535][143184] Loss_D: -0.020517 Loss_G: 0.020536 Loss_D_real: -0.016041 Loss_D_fake 0.004476
[1388/5000][65/535][143185] Loss_D: -0.020512 Loss_G: -0.002002 Loss_D_real: -0.001443 Loss_D_fake 0.019069
[1388/5000][70/535][143186] Loss_D: -0.018742 Loss_G: 0.025541 Loss_D_real: -0.034722 Loss_D_fake -0.015981
[1388/5000][75/535][143187] Loss_D: -0.020312 Loss_G: 0.002620 Loss_D_real: -0.027416 Loss_D_fake -0.007104
[1388/5000][80/535][143188] Loss_D: -0.021398 Loss_G: 0.002278 Loss_D_real: -0.011390 Loss_D_fake 0.010008
[1388/5000][85/535][143189] Loss_D: -0.018954 Loss_G: 0.016563 Loss_D_real: -0.029002 Loss_D_fake -0.010048
[1388/5000][90/535][143190] Loss_D: -0.018766 Loss_G: 0.017224 Loss_D_real: -0.034388 Loss_D_fake -0.015622
[1388/5000][95/535][143191] Loss_D: -0.019495 Loss_G: 0.004629 Loss_D_real: -0.009747 Loss_D_fake 0.009748
[1388/5000][100/535][143192] Loss_D: -0.018473 Loss_G: 0.015164 Loss_D_real: -0.032110 Loss_D_fake -0.013637
[1388/5000][105/535][143193] Loss_D: -0.022003 Loss_G: -0.000427 Loss_D_real: -0.017037 Loss_D_fake 0.004966
[1388/5000][110/535][143194] Loss_D: -0.020760 Loss_G: 0.023210 Loss_D_real: -0.026212 Loss_D_fake -0.005452
[1388/5000][115/535][143195] Loss_D: -0.020464 Loss_G: 0.008063 Loss_D_real: -0.011984 Loss_D_fake 0.008480
[1388/5000][120/535][143196] Loss_D: -0.020745 Loss_G: -0.006927 Loss_D_real: -0.014391 Loss_D_fake 0.006354
[1388/5000][125/535][143197] Loss_D: -0.020705 Loss_G: 0.010266 Loss_D_real: -0.037447 Loss_D_fake -0.016741
[1388/5000][130/535][143198] Loss_D: -0.021104 Loss_G: 0.003092 Loss_D_real: -0.011642 Loss_D_fake 0.009462
[1388/5000][135/535][143199] Loss_D: -0.020456 Loss_G: 0.005404 Loss_D_real: -0.023190 Loss_D_fake -0.002733
[1388/5000][140/535][143200] Loss_D: -0.019376 Loss_G: -0.000038 Loss_D_real: -0.018340 Loss_D_fake 0.001035
[1388/5000][145/535][143201] Loss_D: -0.020765 Loss_G: 0.000468 Loss_D_real: -0.022445 Loss_D_fake -0.001680
[1388/5000][150/535][143202] Loss_D: -0.019449 Loss_G: 0.005876 Loss_D_real: -0.024297 Loss_D_fake -0.004848
[1388/5000][155/535][143203] Loss_D: -0.020539 Loss_G: 0.007735 Loss_D_real: -0.006206 Loss_D_fake 0.014332
[1388/5000][160/535][143204] Loss_D: -0.019656 Loss_G: -0.005139 Loss_D_real: -0.007548 Loss_D_fake 0.012108
[1388/5000][165/535][143205] Loss_D: -0.018734 Loss_G: 0.005220 Loss_D_real: -0.025515 Loss_D_fake -0.006782
[1388/5000][170/535][143206] Loss_D: -0.020467 Loss_G: 0.005303 Loss_D_real: -0.005243 Loss_D_fake 0.015224
[1388/5000][175/535][143207] Loss_D: -0.019560 Loss_G: 0.026140 Loss_D_real: -0.027456 Loss_D_fake -0.007896
[1388/5000][180/535][143208] Loss_D: -0.018446 Loss_G: 0.000444 Loss_D_real: -0.006493 Loss_D_fake 0.011953
[1388/5000][185/535][143209] Loss_D: -0.020206 Loss_G: 0.006751 Loss_D_real: -0.009894 Loss_D_fake 0.010312
[1388/5000][190/535][143210] Loss_D: -0.019860 Loss_G: 0.007106 Loss_D_real: -0.012474 Loss_D_fake 0.007385
[1388/5000][195/535][143211] Loss_D: -0.020147 Loss_G: 0.000302 Loss_D_real: -0.009137 Loss_D_fake 0.011010
[1388/5000][200/535][143212] Loss_D: -0.021052 Loss_G: 0.004780 Loss_D_real: -0.024605 Loss_D_fake -0.003553
[1388/5000][205/535][143213] Loss_D: -0.019826 Loss_G: 0.013013 Loss_D_real: -0.018883 Loss_D_fake 0.000943
[1388/5000][210/535][143214] Loss_D: -0.020906 Loss_G: 0.013730 Loss_D_real: -0.017690 Loss_D_fake 0.003217
[1388/5000][215/535][143215] Loss_D: -0.019663 Loss_G: 0.025546 Loss_D_real: -0.026022 Loss_D_fake -0.006359
[1388/5000][220/535][143216] Loss_D: -0.019204 Loss_G: 0.001967 Loss_D_real: -0.023656 Loss_D_fake -0.004452
[1388/5000][225/535][143217] Loss_D: -0.019961 Loss_G: 0.022914 Loss_D_real: -0.034767 Loss_D_fake -0.014806
[1388/5000][230/535][143218] Loss_D: -0.019805 Loss_G: -0.007574 Loss_D_real: -0.004934 Loss_D_fake 0.014871
[1388/5000][235/535][143219] Loss_D: -0.018466 Loss_G: 0.010189 Loss_D_real: 0.003485 Loss_D_fake 0.021951
[1388/5000][240/535][143220] Loss_D: -0.018533 Loss_G: 0.021054 Loss_D_real: -0.027802 Loss_D_fake -0.009269
[1388/5000][245/535][143221] Loss_D: -0.021573 Loss_G: 0.018376 Loss_D_real: -0.017357 Loss_D_fake 0.004216
[1388/5000][250/535][143222] Loss_D: -0.019249 Loss_G: -0.002245 Loss_D_real: -0.020084 Loss_D_fake -0.000836
[1388/5000][255/535][143223] Loss_D: -0.018624 Loss_G: -0.017184 Loss_D_real: -0.017447 Loss_D_fake 0.001177
[1388/5000][260/535][143224] Loss_D: -0.018693 Loss_G: 0.022996 Loss_D_real: -0.016115 Loss_D_fake 0.002578
[1388/5000][265/535][143225] Loss_D: -0.020356 Loss_G: 0.003249 Loss_D_real: -0.002125 Loss_D_fake 0.018231
[1388/5000][270/535][143226] Loss_D: -0.020638 Loss_G: 0.004469 Loss_D_real: -0.018626 Loss_D_fake 0.002012
[1388/5000][275/535][143227] Loss_D: -0.020272 Loss_G: -0.014071 Loss_D_real: -0.012158 Loss_D_fake 0.008114
[1388/5000][280/535][143228] Loss_D: -0.019951 Loss_G: 0.004117 Loss_D_real: -0.008926 Loss_D_fake 0.011026
[1388/5000][285/535][143229] Loss_D: -0.019063 Loss_G: -0.006616 Loss_D_real: 0.013336 Loss_D_fake 0.032399
[1388/5000][290/535][143230] Loss_D: -0.018696 Loss_G: 0.007180 Loss_D_real: -0.007567 Loss_D_fake 0.011129
[1388/5000][295/535][143231] Loss_D: -0.019183 Loss_G: 0.004497 Loss_D_real: -0.011664 Loss_D_fake 0.007519
[1388/5000][300/535][143232] Loss_D: -0.018857 Loss_G: -0.000357 Loss_D_real: -0.022057 Loss_D_fake -0.003200
[1388/5000][305/535][143233] Loss_D: -0.020950 Loss_G: 0.002575 Loss_D_real: -0.012324 Loss_D_fake 0.008626
[1388/5000][310/535][143234] Loss_D: -0.020010 Loss_G: -0.003069 Loss_D_real: -0.014519 Loss_D_fake 0.005491
[1388/5000][315/535][143235] Loss_D: -0.019406 Loss_G: -0.003147 Loss_D_real: 0.000713 Loss_D_fake 0.020119
[1388/5000][320/535][143236] Loss_D: -0.019494 Loss_G: 0.002257 Loss_D_real: -0.011066 Loss_D_fake 0.008428
[1388/5000][325/535][143237] Loss_D: -0.019026 Loss_G: 0.023900 Loss_D_real: -0.023568 Loss_D_fake -0.004542
[1388/5000][330/535][143238] Loss_D: -0.020967 Loss_G: 0.011217 Loss_D_real: -0.010107 Loss_D_fake 0.010860
[1388/5000][335/535][143239] Loss_D: -0.020558 Loss_G: 0.014632 Loss_D_real: -0.022846 Loss_D_fake -0.002289
[1388/5000][340/535][143240] Loss_D: -0.021214 Loss_G: -0.001845 Loss_D_real: -0.006247 Loss_D_fake 0.014967
[1388/5000][345/535][143241] Loss_D: -0.019752 Loss_G: 0.017219 Loss_D_real: -0.019806 Loss_D_fake -0.000054
[1388/5000][350/535][143242] Loss_D: -0.020775 Loss_G: -0.001058 Loss_D_real: -0.016392 Loss_D_fake 0.004383
[1388/5000][355/535][143243] Loss_D: -0.020974 Loss_G: -0.008690 Loss_D_real: -0.006021 Loss_D_fake 0.014953
[1388/5000][360/535][143244] Loss_D: -0.021467 Loss_G: 0.018446 Loss_D_real: -0.022391 Loss_D_fake -0.000924
[1388/5000][365/535][143245] Loss_D: -0.019986 Loss_G: 0.023462 Loss_D_real: -0.034588 Loss_D_fake -0.014602
[1388/5000][370/535][143246] Loss_D: -0.019944 Loss_G: 0.013137 Loss_D_real: -0.022933 Loss_D_fake -0.002989
[1388/5000][375/535][143247] Loss_D: -0.020283 Loss_G: 0.015811 Loss_D_real: -0.028291 Loss_D_fake -0.008007
[1388/5000][380/535][143248] Loss_D: -0.020539 Loss_G: 0.018600 Loss_D_real: -0.029447 Loss_D_fake -0.008909
[1388/5000][385/535][143249] Loss_D: -0.019508 Loss_G: 0.012703 Loss_D_real: -0.019718 Loss_D_fake -0.000210
[1388/5000][390/535][143250] Loss_D: -0.020447 Loss_G: -0.000582 Loss_D_real: -0.009642 Loss_D_fake 0.010805
[1388/5000][395/535][143251] Loss_D: -0.020268 Loss_G: 0.015340 Loss_D_real: -0.025682 Loss_D_fake -0.005413
[1388/5000][400/535][143252] Loss_D: -0.019519 Loss_G: 0.007576 Loss_D_real: -0.010936 Loss_D_fake 0.008583
[1388/5000][405/535][143253] Loss_D: -0.019129 Loss_G: -0.016221 Loss_D_real: -0.006720 Loss_D_fake 0.012409
[1388/5000][410/535][143254] Loss_D: -0.019717 Loss_G: 0.024731 Loss_D_real: -0.022641 Loss_D_fake -0.002924
[1388/5000][415/535][143255] Loss_D: -0.018706 Loss_G: -0.007272 Loss_D_real: -0.002121 Loss_D_fake 0.016585
[1388/5000][420/535][143256] Loss_D: -0.019489 Loss_G: 0.017441 Loss_D_real: -0.032364 Loss_D_fake -0.012876
[1388/5000][425/535][143257] Loss_D: -0.019971 Loss_G: 0.004623 Loss_D_real: -0.020703 Loss_D_fake -0.000732
[1388/5000][430/535][143258] Loss_D: -0.019736 Loss_G: -0.003448 Loss_D_real: -0.011196 Loss_D_fake 0.008541
[1388/5000][435/535][143259] Loss_D: -0.019066 Loss_G: 0.007802 Loss_D_real: -0.014243 Loss_D_fake 0.004823
[1388/5000][440/535][143260] Loss_D: -0.018597 Loss_G: 0.008281 Loss_D_real: -0.013987 Loss_D_fake 0.004610
[1388/5000][445/535][143261] Loss_D: -0.021091 Loss_G: 0.020181 Loss_D_real: -0.020029 Loss_D_fake 0.001062
[1388/5000][450/535][143262] Loss_D: -0.021159 Loss_G: 0.012450 Loss_D_real: -0.001944 Loss_D_fake 0.019215
[1388/5000][455/535][143263] Loss_D: -0.019998 Loss_G: -0.005141 Loss_D_real: -0.017769 Loss_D_fake 0.002229
[1388/5000][460/535][143264] Loss_D: -0.018974 Loss_G: 0.000580 Loss_D_real: -0.009400 Loss_D_fake 0.009575
[1388/5000][465/535][143265] Loss_D: -0.018695 Loss_G: -0.016220 Loss_D_real: -0.003577 Loss_D_fake 0.015118
[1388/5000][470/535][143266] Loss_D: -0.018299 Loss_G: 0.022608 Loss_D_real: -0.026607 Loss_D_fake -0.008308
[1388/5000][475/535][143267] Loss_D: -0.018291 Loss_G: 0.010043 Loss_D_real: -0.036539 Loss_D_fake -0.018248
[1388/5000][480/535][143268] Loss_D: -0.020427 Loss_G: 0.008217 Loss_D_real: -0.020421 Loss_D_fake 0.000005
[1388/5000][485/535][143269] Loss_D: -0.020399 Loss_G: -0.014883 Loss_D_real: -0.009613 Loss_D_fake 0.010786
[1388/5000][490/535][143270] Loss_D: -0.019348 Loss_G: 0.012701 Loss_D_real: -0.019769 Loss_D_fake -0.000421
[1388/5000][495/535][143271] Loss_D: -0.019676 Loss_G: 0.000636 Loss_D_real: -0.007578 Loss_D_fake 0.012098
[1388/5000][500/535][143272] Loss_D: -0.019836 Loss_G: 0.021148 Loss_D_real: -0.030131 Loss_D_fake -0.010295
[1388/5000][505/535][143273] Loss_D: -0.018692 Loss_G: -0.013827 Loss_D_real: 0.005015 Loss_D_fake 0.023707
[1388/5000][510/535][143274] Loss_D: -0.020115 Loss_G: 0.011631 Loss_D_real: -0.015165 Loss_D_fake 0.004950
[1388/5000][515/535][143275] Loss_D: -0.019289 Loss_G: 0.015978 Loss_D_real: -0.028578 Loss_D_fake -0.009289
[1388/5000][520/535][143276] Loss_D: -0.019308 Loss_G: 0.011649 Loss_D_real: -0.014034 Loss_D_fake 0.005274
[1388/5000][525/535][143277] Loss_D: -0.020563 Loss_G: 0.007277 Loss_D_real: -0.025943 Loss_D_fake -0.005380
[1388/5000][530/535][143278] Loss_D: -0.019705 Loss_G: 0.012194 Loss_D_real: -0.010832 Loss_D_fake 0.008873
[1388/5000][535/535][143279] Loss_D: -0.021041 Loss_G: -0.001911 Loss_D_real: -0.018552 Loss_D_fake 0.002489
[1389/5000][5/535][143280] Loss_D: -0.020661 Loss_G: 0.013481 Loss_D_real: -0.029471 Loss_D_fake -0.008809
[1389/5000][10/535][143281] Loss_D: -0.019821 Loss_G: 0.000523 Loss_D_real: -0.015619 Loss_D_fake 0.004202
[1389/5000][15/535][143282] Loss_D: -0.020099 Loss_G: -0.007506 Loss_D_real: 0.002394 Loss_D_fake 0.022493
[1389/5000][20/535][143283] Loss_D: -0.019960 Loss_G: 0.024574 Loss_D_real: -0.026148 Loss_D_fake -0.006188
[1389/5000][25/535][143284] Loss_D: -0.019474 Loss_G: 0.011643 Loss_D_real: -0.019255 Loss_D_fake 0.000219
[1389/5000][30/535][143285] Loss_D: -0.020027 Loss_G: 0.020814 Loss_D_real: -0.026094 Loss_D_fake -0.006066
[1389/5000][35/535][143286] Loss_D: -0.019813 Loss_G: 0.000748 Loss_D_real: -0.012432 Loss_D_fake 0.007380
[1389/5000][40/535][143287] Loss_D: -0.020819 Loss_G: -0.000717 Loss_D_real: -0.018692 Loss_D_fake 0.002127
[1389/5000][45/535][143288] Loss_D: -0.018950 Loss_G: 0.018986 Loss_D_real: -0.020718 Loss_D_fake -0.001768
[1389/5000][50/535][143289] Loss_D: -0.020369 Loss_G: 0.008778 Loss_D_real: -0.019345 Loss_D_fake 0.001023
[1389/5000][55/535][143290] Loss_D: -0.020171 Loss_G: 0.016402 Loss_D_real: -0.029526 Loss_D_fake -0.009355
[1389/5000][60/535][143291] Loss_D: -0.020916 Loss_G: -0.000257 Loss_D_real: -0.011825 Loss_D_fake 0.009091
[1389/5000][65/535][143292] Loss_D: -0.019900 Loss_G: 0.012706 Loss_D_real: -0.027073 Loss_D_fake -0.007173
[1389/5000][70/535][143293] Loss_D: -0.020250 Loss_G: -0.000248 Loss_D_real: -0.015345 Loss_D_fake 0.004905
[1389/5000][75/535][143294] Loss_D: -0.019983 Loss_G: 0.034243 Loss_D_real: -0.022132 Loss_D_fake -0.002149
[1389/5000][80/535][143295] Loss_D: -0.018496 Loss_G: 0.003613 Loss_D_real: -0.027988 Loss_D_fake -0.009492
[1389/5000][85/535][143296] Loss_D: -0.019167 Loss_G: 0.015606 Loss_D_real: -0.039857 Loss_D_fake -0.020689
[1389/5000][90/535][143297] Loss_D: -0.020416 Loss_G: -0.001261 Loss_D_real: 0.000122 Loss_D_fake 0.020538
[1389/5000][95/535][143298] Loss_D: -0.019606 Loss_G: 0.017271 Loss_D_real: -0.019014 Loss_D_fake 0.000592
[1389/5000][100/535][143299] Loss_D: -0.019435 Loss_G: 0.004139 Loss_D_real: -0.011025 Loss_D_fake 0.008410
[1389/5000][105/535][143300] Loss_D: -0.019036 Loss_G: 0.005591 Loss_D_real: -0.026192 Loss_D_fake -0.007156
[1389/5000][110/535][143301] Loss_D: -0.020591 Loss_G: -0.000019 Loss_D_real: -0.013240 Loss_D_fake 0.007351
[1389/5000][115/535][143302] Loss_D: -0.018732 Loss_G: 0.010280 Loss_D_real: -0.027590 Loss_D_fake -0.008859
[1389/5000][120/535][143303] Loss_D: -0.020461 Loss_G: 0.017344 Loss_D_real: -0.022374 Loss_D_fake -0.001913
[1389/5000][125/535][143304] Loss_D: -0.019258 Loss_G: 0.008907 Loss_D_real: -0.018554 Loss_D_fake 0.000704
[1389/5000][130/535][143305] Loss_D: -0.020607 Loss_G: -0.008182 Loss_D_real: -0.005674 Loss_D_fake 0.014933
[1389/5000][135/535][143306] Loss_D: -0.020056 Loss_G: 0.001512 Loss_D_real: -0.014876 Loss_D_fake 0.005180
[1389/5000][140/535][143307] Loss_D: -0.021007 Loss_G: 0.003443 Loss_D_real: -0.002979 Loss_D_fake 0.018028
[1389/5000][145/535][143308] Loss_D: -0.019008 Loss_G: 0.025215 Loss_D_real: -0.033011 Loss_D_fake -0.014003
[1389/5000][150/535][143309] Loss_D: -0.020968 Loss_G: 0.010575 Loss_D_real: -0.028623 Loss_D_fake -0.007655
[1389/5000][155/535][143310] Loss_D: -0.019991 Loss_G: 0.003298 Loss_D_real: -0.008272 Loss_D_fake 0.011720
[1389/5000][160/535][143311] Loss_D: -0.020196 Loss_G: 0.001876 Loss_D_real: -0.008674 Loss_D_fake 0.011523
[1389/5000][165/535][143312] Loss_D: -0.020051 Loss_G: 0.002193 Loss_D_real: -0.009735 Loss_D_fake 0.010316
[1389/5000][170/535][143313] Loss_D: -0.020096 Loss_G: -0.002842 Loss_D_real: -0.011132 Loss_D_fake 0.008964
[1389/5000][175/535][143314] Loss_D: -0.020297 Loss_G: 0.009745 Loss_D_real: -0.022803 Loss_D_fake -0.002506
[1389/5000][180/535][143315] Loss_D: -0.020043 Loss_G: 0.000555 Loss_D_real: -0.007532 Loss_D_fake 0.012511
[1389/5000][185/535][143316] Loss_D: -0.019316 Loss_G: -0.004178 Loss_D_real: -0.022375 Loss_D_fake -0.003059
[1389/5000][190/535][143317] Loss_D: -0.019478 Loss_G: 0.018907 Loss_D_real: -0.021098 Loss_D_fake -0.001620
[1389/5000][195/535][143318] Loss_D: -0.018281 Loss_G: 0.020735 Loss_D_real: -0.021445 Loss_D_fake -0.003164
[1389/5000][200/535][143319] Loss_D: -0.020321 Loss_G: -0.007374 Loss_D_real: -0.014182 Loss_D_fake 0.006139
[1389/5000][205/535][143320] Loss_D: -0.020320 Loss_G: 0.008653 Loss_D_real: -0.017545 Loss_D_fake 0.002775
[1389/5000][210/535][143321] Loss_D: -0.019660 Loss_G: 0.020204 Loss_D_real: -0.031081 Loss_D_fake -0.011421
[1389/5000][215/535][143322] Loss_D: -0.019548 Loss_G: 0.008860 Loss_D_real: -0.022249 Loss_D_fake -0.002702
[1389/5000][220/535][143323] Loss_D: -0.019336 Loss_G: 0.005790 Loss_D_real: -0.016039 Loss_D_fake 0.003297
[1389/5000][225/535][143324] Loss_D: -0.020149 Loss_G: 0.008188 Loss_D_real: -0.018938 Loss_D_fake 0.001211
[1389/5000][230/535][143325] Loss_D: -0.019940 Loss_G: 0.003483 Loss_D_real: -0.027682 Loss_D_fake -0.007742
[1389/5000][235/535][143326] Loss_D: -0.020419 Loss_G: 0.023008 Loss_D_real: -0.023022 Loss_D_fake -0.002603
[1389/5000][240/535][143327] Loss_D: -0.019439 Loss_G: 0.020532 Loss_D_real: -0.023737 Loss_D_fake -0.004298
[1389/5000][245/535][143328] Loss_D: -0.020112 Loss_G: -0.013380 Loss_D_real: -0.013245 Loss_D_fake 0.006868
[1389/5000][250/535][143329] Loss_D: -0.019101 Loss_G: 0.022051 Loss_D_real: -0.017936 Loss_D_fake 0.001165
[1389/5000][255/535][143330] Loss_D: -0.019191 Loss_G: -0.021282 Loss_D_real: -0.001308 Loss_D_fake 0.017883
[1389/5000][260/535][143331] Loss_D: -0.019557 Loss_G: 0.005856 Loss_D_real: -0.015904 Loss_D_fake 0.003653
[1389/5000][265/535][143332] Loss_D: -0.019279 Loss_G: 0.002194 Loss_D_real: -0.009466 Loss_D_fake 0.009813
[1389/5000][270/535][143333] Loss_D: -0.018652 Loss_G: 0.012263 Loss_D_real: -0.017330 Loss_D_fake 0.001322
[1389/5000][275/535][143334] Loss_D: -0.018983 Loss_G: 0.021494 Loss_D_real: -0.025093 Loss_D_fake -0.006110
[1389/5000][280/535][143335] Loss_D: -0.020175 Loss_G: 0.010032 Loss_D_real: -0.024531 Loss_D_fake -0.004356
[1389/5000][285/535][143336] Loss_D: -0.020730 Loss_G: 0.011493 Loss_D_real: -0.022075 Loss_D_fake -0.001344
[1389/5000][290/535][143337] Loss_D: -0.018483 Loss_G: 0.025308 Loss_D_real: -0.034437 Loss_D_fake -0.015954
[1389/5000][295/535][143338] Loss_D: -0.020299 Loss_G: 0.008196 Loss_D_real: -0.021401 Loss_D_fake -0.001102
[1389/5000][300/535][143339] Loss_D: -0.019779 Loss_G: 0.003408 Loss_D_real: -0.017840 Loss_D_fake 0.001939
[1389/5000][305/535][143340] Loss_D: -0.021321 Loss_G: 0.000156 Loss_D_real: -0.025294 Loss_D_fake -0.003973
[1389/5000][310/535][143341] Loss_D: -0.020618 Loss_G: -0.016351 Loss_D_real: -0.008237 Loss_D_fake 0.012380
[1389/5000][315/535][143342] Loss_D: -0.019679 Loss_G: 0.008362 Loss_D_real: -0.013051 Loss_D_fake 0.006627
[1389/5000][320/535][143343] Loss_D: -0.020404 Loss_G: 0.013891 Loss_D_real: -0.021473 Loss_D_fake -0.001069
[1389/5000][325/535][143344] Loss_D: -0.018710 Loss_G: 0.022100 Loss_D_real: -0.036896 Loss_D_fake -0.018186
[1389/5000][330/535][143345] Loss_D: -0.019604 Loss_G: 0.013573 Loss_D_real: -0.017211 Loss_D_fake 0.002393
[1389/5000][335/535][143346] Loss_D: -0.020979 Loss_G: 0.027795 Loss_D_real: -0.027161 Loss_D_fake -0.006182
[1389/5000][340/535][143347] Loss_D: -0.019936 Loss_G: -0.010567 Loss_D_real: -0.011825 Loss_D_fake 0.008111
[1389/5000][345/535][143348] Loss_D: -0.019390 Loss_G: 0.004135 Loss_D_real: -0.016558 Loss_D_fake 0.002831
[1389/5000][350/535][143349] Loss_D: -0.020305 Loss_G: 0.019318 Loss_D_real: -0.011946 Loss_D_fake 0.008359
[1389/5000][355/535][143350] Loss_D: -0.019526 Loss_G: 0.028089 Loss_D_real: -0.030190 Loss_D_fake -0.010664
[1389/5000][360/535][143351] Loss_D: -0.020510 Loss_G: 0.002326 Loss_D_real: -0.018177 Loss_D_fake 0.002332
[1389/5000][365/535][143352] Loss_D: -0.021326 Loss_G: -0.003017 Loss_D_real: -0.026511 Loss_D_fake -0.005186
[1389/5000][370/535][143353] Loss_D: -0.020134 Loss_G: 0.009980 Loss_D_real: -0.022746 Loss_D_fake -0.002612
[1389/5000][375/535][143354] Loss_D: -0.020431 Loss_G: 0.008080 Loss_D_real: -0.023243 Loss_D_fake -0.002813
[1389/5000][380/535][143355] Loss_D: -0.020505 Loss_G: 0.010299 Loss_D_real: -0.019452 Loss_D_fake 0.001052
[1389/5000][385/535][143356] Loss_D: -0.021367 Loss_G: -0.001468 Loss_D_real: -0.024222 Loss_D_fake -0.002855
[1389/5000][390/535][143357] Loss_D: -0.019482 Loss_G: 0.010113 Loss_D_real: -0.012788 Loss_D_fake 0.006694
[1389/5000][395/535][143358] Loss_D: -0.018393 Loss_G: 0.010262 Loss_D_real: -0.020776 Loss_D_fake -0.002384
[1389/5000][400/535][143359] Loss_D: -0.019725 Loss_G: -0.010164 Loss_D_real: -0.011273 Loss_D_fake 0.008452
[1389/5000][405/535][143360] Loss_D: -0.019296 Loss_G: -0.022728 Loss_D_real: -0.004510 Loss_D_fake 0.014786
[1389/5000][410/535][143361] Loss_D: -0.019695 Loss_G: -0.001987 Loss_D_real: -0.014607 Loss_D_fake 0.005088
[1389/5000][415/535][143362] Loss_D: -0.020583 Loss_G: 0.000651 Loss_D_real: -0.021814 Loss_D_fake -0.001230
[1389/5000][420/535][143363] Loss_D: -0.019373 Loss_G: 0.022745 Loss_D_real: -0.026225 Loss_D_fake -0.006853
[1389/5000][425/535][143364] Loss_D: -0.020113 Loss_G: 0.007455 Loss_D_real: -0.018326 Loss_D_fake 0.001787
[1389/5000][430/535][143365] Loss_D: -0.020580 Loss_G: 0.010694 Loss_D_real: -0.013941 Loss_D_fake 0.006639
[1389/5000][435/535][143366] Loss_D: -0.020773 Loss_G: 0.013245 Loss_D_real: -0.020048 Loss_D_fake 0.000724
[1389/5000][440/535][143367] Loss_D: -0.018545 Loss_G: 0.022247 Loss_D_real: -0.020524 Loss_D_fake -0.001980
[1389/5000][445/535][143368] Loss_D: -0.019783 Loss_G: 0.014587 Loss_D_real: -0.022524 Loss_D_fake -0.002742
[1389/5000][450/535][143369] Loss_D: -0.018613 Loss_G: 0.015397 Loss_D_real: -0.030121 Loss_D_fake -0.011508
[1389/5000][455/535][143370] Loss_D: -0.019420 Loss_G: -0.002653 Loss_D_real: -0.002225 Loss_D_fake 0.017195
[1389/5000][460/535][143371] Loss_D: -0.021085 Loss_G: 0.013857 Loss_D_real: -0.025970 Loss_D_fake -0.004885
[1389/5000][465/535][143372] Loss_D: -0.019031 Loss_G: 0.020496 Loss_D_real: -0.021837 Loss_D_fake -0.002806
[1389/5000][470/535][143373] Loss_D: -0.020018 Loss_G: -0.010162 Loss_D_real: -0.013117 Loss_D_fake 0.006901
[1389/5000][475/535][143374] Loss_D: -0.019933 Loss_G: -0.007947 Loss_D_real: 0.006893 Loss_D_fake 0.026826
[1389/5000][480/535][143375] Loss_D: -0.019827 Loss_G: -0.019206 Loss_D_real: 0.002385 Loss_D_fake 0.022212
[1389/5000][485/535][143376] Loss_D: -0.019159 Loss_G: -0.002699 Loss_D_real: -0.016942 Loss_D_fake 0.002217
[1389/5000][490/535][143377] Loss_D: -0.020919 Loss_G: 0.017516 Loss_D_real: -0.022405 Loss_D_fake -0.001486
[1389/5000][495/535][143378] Loss_D: -0.019939 Loss_G: 0.022195 Loss_D_real: -0.030292 Loss_D_fake -0.010353
[1389/5000][500/535][143379] Loss_D: -0.019859 Loss_G: 0.011961 Loss_D_real: -0.025242 Loss_D_fake -0.005383
[1389/5000][505/535][143380] Loss_D: -0.021608 Loss_G: 0.015077 Loss_D_real: -0.024267 Loss_D_fake -0.002659
[1389/5000][510/535][143381] Loss_D: -0.020124 Loss_G: -0.006161 Loss_D_real: -0.004080 Loss_D_fake 0.016045
[1389/5000][515/535][143382] Loss_D: -0.017792 Loss_G: 0.013762 Loss_D_real: -0.021493 Loss_D_fake -0.003701
[1389/5000][520/535][143383] Loss_D: -0.018715 Loss_G: 0.020172 Loss_D_real: -0.024964 Loss_D_fake -0.006249
[1389/5000][525/535][143384] Loss_D: -0.019233 Loss_G: 0.005727 Loss_D_real: -0.026119 Loss_D_fake -0.006886
[1389/5000][530/535][143385] Loss_D: -0.017941 Loss_G: -0.004410 Loss_D_real: -0.006801 Loss_D_fake 0.011140
[1389/5000][535/535][143386] Loss_D: -0.019322 Loss_G: -0.016631 Loss_D_real: -0.028438 Loss_D_fake -0.009116
[1390/5000][5/535][143387] Loss_D: -0.021503 Loss_G: 0.008442 Loss_D_real: -0.009040 Loss_D_fake 0.012463
[1390/5000][10/535][143388] Loss_D: -0.019627 Loss_G: 0.003053 Loss_D_real: -0.020893 Loss_D_fake -0.001266
[1390/5000][15/535][143389] Loss_D: -0.019667 Loss_G: 0.003645 Loss_D_real: -0.024553 Loss_D_fake -0.004886
[1390/5000][20/535][143390] Loss_D: -0.020421 Loss_G: 0.009739 Loss_D_real: -0.016199 Loss_D_fake 0.004222
[1390/5000][25/535][143391] Loss_D: -0.019898 Loss_G: 0.005448 Loss_D_real: -0.027152 Loss_D_fake -0.007254
[1390/5000][30/535][143392] Loss_D: -0.020454 Loss_G: 0.014513 Loss_D_real: -0.019826 Loss_D_fake 0.000628
[1390/5000][35/535][143393] Loss_D: -0.018110 Loss_G: 0.026692 Loss_D_real: -0.025136 Loss_D_fake -0.007026
[1390/5000][40/535][143394] Loss_D: -0.020082 Loss_G: -0.002545 Loss_D_real: -0.012238 Loss_D_fake 0.007844
[1390/5000][45/535][143395] Loss_D: -0.021345 Loss_G: 0.006997 Loss_D_real: -0.026777 Loss_D_fake -0.005432
[1390/5000][50/535][143396] Loss_D: -0.020076 Loss_G: 0.011002 Loss_D_real: 0.002049 Loss_D_fake 0.022126
[1390/5000][55/535][143397] Loss_D: -0.020522 Loss_G: 0.005601 Loss_D_real: -0.015509 Loss_D_fake 0.005013
[1390/5000][60/535][143398] Loss_D: -0.019687 Loss_G: 0.002822 Loss_D_real: -0.005738 Loss_D_fake 0.013948
[1390/5000][65/535][143399] Loss_D: -0.020894 Loss_G: 0.011520 Loss_D_real: -0.013923 Loss_D_fake 0.006970
[1390/5000][70/535][143400] Loss_D: -0.020133 Loss_G: 0.012144 Loss_D_real: -0.018268 Loss_D_fake 0.001865
[1390/5000][75/535][143401] Loss_D: -0.019859 Loss_G: 0.008426 Loss_D_real: -0.017560 Loss_D_fake 0.002299
[1390/5000][80/535][143402] Loss_D: -0.019917 Loss_G: -0.003924 Loss_D_real: 0.000111 Loss_D_fake 0.020027
[1390/5000][85/535][143403] Loss_D: -0.020244 Loss_G: -0.013647 Loss_D_real: -0.016423 Loss_D_fake 0.003821
[1390/5000][90/535][143404] Loss_D: -0.020501 Loss_G: 0.003488 Loss_D_real: -0.020011 Loss_D_fake 0.000490
[1390/5000][95/535][143405] Loss_D: -0.018419 Loss_G: 0.005189 Loss_D_real: -0.014851 Loss_D_fake 0.003568
[1390/5000][100/535][143406] Loss_D: -0.020412 Loss_G: 0.021787 Loss_D_real: -0.022901 Loss_D_fake -0.002488
[1390/5000][105/535][143407] Loss_D: -0.018852 Loss_G: -0.011388 Loss_D_real: -0.011749 Loss_D_fake 0.007103
[1390/5000][110/535][143408] Loss_D: -0.019209 Loss_G: 0.014396 Loss_D_real: -0.015823 Loss_D_fake 0.003386
[1390/5000][115/535][143409] Loss_D: -0.018795 Loss_G: 0.018647 Loss_D_real: -0.014475 Loss_D_fake 0.004320
[1390/5000][120/535][143410] Loss_D: -0.020298 Loss_G: 0.003714 Loss_D_real: -0.008476 Loss_D_fake 0.011821
[1390/5000][125/535][143411] Loss_D: -0.017516 Loss_G: 0.013385 Loss_D_real: -0.033554 Loss_D_fake -0.016038
[1390/5000][130/535][143412] Loss_D: -0.019562 Loss_G: -0.003189 Loss_D_real: -0.004021 Loss_D_fake 0.015541
[1390/5000][135/535][143413] Loss_D: -0.019181 Loss_G: 0.030684 Loss_D_real: -0.036721 Loss_D_fake -0.017540
[1390/5000][140/535][143414] Loss_D: -0.020381 Loss_G: 0.014549 Loss_D_real: -0.010169 Loss_D_fake 0.010212
[1390/5000][145/535][143415] Loss_D: -0.019798 Loss_G: 0.002702 Loss_D_real: -0.019975 Loss_D_fake -0.000177
[1390/5000][150/535][143416] Loss_D: -0.019979 Loss_G: 0.015391 Loss_D_real: -0.031345 Loss_D_fake -0.011366
[1390/5000][155/535][143417] Loss_D: -0.019765 Loss_G: 0.020654 Loss_D_real: -0.018404 Loss_D_fake 0.001361
[1390/5000][160/535][143418] Loss_D: -0.020357 Loss_G: 0.009057 Loss_D_real: -0.023660 Loss_D_fake -0.003303
[1390/5000][165/535][143419] Loss_D: -0.018515 Loss_G: 0.014561 Loss_D_real: -0.018346 Loss_D_fake 0.000169
[1390/5000][170/535][143420] Loss_D: -0.019939 Loss_G: 0.008359 Loss_D_real: -0.012749 Loss_D_fake 0.007190
[1390/5000][175/535][143421] Loss_D: -0.020656 Loss_G: 0.001278 Loss_D_real: -0.014594 Loss_D_fake 0.006062
[1390/5000][180/535][143422] Loss_D: -0.018878 Loss_G: -0.013527 Loss_D_real: -0.004829 Loss_D_fake 0.014049
[1390/5000][185/535][143423] Loss_D: -0.019695 Loss_G: 0.003391 Loss_D_real: -0.011634 Loss_D_fake 0.008061
[1390/5000][190/535][143424] Loss_D: -0.018670 Loss_G: 0.011870 Loss_D_real: -0.001834 Loss_D_fake 0.016836
[1390/5000][195/535][143425] Loss_D: -0.019480 Loss_G: -0.004381 Loss_D_real: -0.004970 Loss_D_fake 0.014510
[1390/5000][200/535][143426] Loss_D: -0.019178 Loss_G: -0.001648 Loss_D_real: -0.012379 Loss_D_fake 0.006799
[1390/5000][205/535][143427] Loss_D: -0.020051 Loss_G: 0.004268 Loss_D_real: -0.015414 Loss_D_fake 0.004638
[1390/5000][210/535][143428] Loss_D: -0.019594 Loss_G: 0.002976 Loss_D_real: -0.026880 Loss_D_fake -0.007287
[1390/5000][215/535][143429] Loss_D: -0.020117 Loss_G: -0.003181 Loss_D_real: -0.021699 Loss_D_fake -0.001582
[1390/5000][220/535][143430] Loss_D: -0.019544 Loss_G: 0.014354 Loss_D_real: -0.023386 Loss_D_fake -0.003843
[1390/5000][225/535][143431] Loss_D: -0.019588 Loss_G: -0.011117 Loss_D_real: -0.012828 Loss_D_fake 0.006760
[1390/5000][230/535][143432] Loss_D: -0.019676 Loss_G: -0.005865 Loss_D_real: -0.010899 Loss_D_fake 0.008777
[1390/5000][235/535][143433] Loss_D: -0.020350 Loss_G: 0.014794 Loss_D_real: -0.024360 Loss_D_fake -0.004010
[1390/5000][240/535][143434] Loss_D: -0.018840 Loss_G: 0.009762 Loss_D_real: -0.028226 Loss_D_fake -0.009386
[1390/5000][245/535][143435] Loss_D: -0.020730 Loss_G: 0.023508 Loss_D_real: -0.026849 Loss_D_fake -0.006119
[1390/5000][250/535][143436] Loss_D: -0.020171 Loss_G: 0.022496 Loss_D_real: -0.013205 Loss_D_fake 0.006966
[1390/5000][255/535][143437] Loss_D: -0.021511 Loss_G: 0.014252 Loss_D_real: -0.023830 Loss_D_fake -0.002318
[1390/5000][260/535][143438] Loss_D: -0.020252 Loss_G: 0.011628 Loss_D_real: -0.026550 Loss_D_fake -0.006298
[1390/5000][265/535][143439] Loss_D: -0.019088 Loss_G: 0.024457 Loss_D_real: -0.034185 Loss_D_fake -0.015097
[1390/5000][270/535][143440] Loss_D: -0.019656 Loss_G: 0.022238 Loss_D_real: -0.030127 Loss_D_fake -0.010471
[1390/5000][275/535][143441] Loss_D: -0.019840 Loss_G: 0.011241 Loss_D_real: -0.025149 Loss_D_fake -0.005309
[1390/5000][280/535][143442] Loss_D: -0.020376 Loss_G: 0.011484 Loss_D_real: -0.031936 Loss_D_fake -0.011560
[1390/5000][285/535][143443] Loss_D: -0.021188 Loss_G: 0.004594 Loss_D_real: -0.015719 Loss_D_fake 0.005468
[1390/5000][290/535][143444] Loss_D: -0.021224 Loss_G: 0.015122 Loss_D_real: -0.028634 Loss_D_fake -0.007410
[1390/5000][295/535][143445] Loss_D: -0.020325 Loss_G: -0.015311 Loss_D_real: -0.013554 Loss_D_fake 0.006771
[1390/5000][300/535][143446] Loss_D: -0.019429 Loss_G: 0.004711 Loss_D_real: -0.010893 Loss_D_fake 0.008536
[1390/5000][305/535][143447] Loss_D: -0.020952 Loss_G: 0.008250 Loss_D_real: -0.008988 Loss_D_fake 0.011964
[1390/5000][310/535][143448] Loss_D: -0.021299 Loss_G: 0.004695 Loss_D_real: -0.026879 Loss_D_fake -0.005580
[1390/5000][315/535][143449] Loss_D: -0.019175 Loss_G: 0.007864 Loss_D_real: -0.017233 Loss_D_fake 0.001942
[1390/5000][320/535][143450] Loss_D: -0.020091 Loss_G: -0.019040 Loss_D_real: -0.002075 Loss_D_fake 0.018016
[1390/5000][325/535][143451] Loss_D: -0.019713 Loss_G: 0.009148 Loss_D_real: -0.019250 Loss_D_fake 0.000463
[1390/5000][330/535][143452] Loss_D: -0.020483 Loss_G: 0.014065 Loss_D_real: -0.019141 Loss_D_fake 0.001342
[1390/5000][335/535][143453] Loss_D: -0.019752 Loss_G: 0.018040 Loss_D_real: -0.023539 Loss_D_fake -0.003787
[1390/5000][340/535][143454] Loss_D: -0.020732 Loss_G: 0.003524 Loss_D_real: -0.016000 Loss_D_fake 0.004732
[1390/5000][345/535][143455] Loss_D: -0.018219 Loss_G: 0.014835 Loss_D_real: -0.024584 Loss_D_fake -0.006365
[1390/5000][350/535][143456] Loss_D: -0.019980 Loss_G: 0.004546 Loss_D_real: -0.009609 Loss_D_fake 0.010371
[1390/5000][355/535][143457] Loss_D: -0.019836 Loss_G: 0.013538 Loss_D_real: -0.019951 Loss_D_fake -0.000114
[1390/5000][360/535][143458] Loss_D: -0.021620 Loss_G: 0.009881 Loss_D_real: -0.017788 Loss_D_fake 0.003832
[1390/5000][365/535][143459] Loss_D: -0.019642 Loss_G: 0.009002 Loss_D_real: -0.013851 Loss_D_fake 0.005791
[1390/5000][370/535][143460] Loss_D: -0.020858 Loss_G: -0.003676 Loss_D_real: -0.024024 Loss_D_fake -0.003166
[1390/5000][375/535][143461] Loss_D: -0.017463 Loss_G: 0.012654 Loss_D_real: -0.036536 Loss_D_fake -0.019073
[1390/5000][380/535][143462] Loss_D: -0.020088 Loss_G: -0.006670 Loss_D_real: -0.010902 Loss_D_fake 0.009186
[1390/5000][385/535][143463] Loss_D: -0.019394 Loss_G: 0.000380 Loss_D_real: -0.016046 Loss_D_fake 0.003348
[1390/5000][390/535][143464] Loss_D: -0.019574 Loss_G: 0.012707 Loss_D_real: -0.027357 Loss_D_fake -0.007783
[1390/5000][395/535][143465] Loss_D: -0.018513 Loss_G: 0.021624 Loss_D_real: -0.036599 Loss_D_fake -0.018087
[1390/5000][400/535][143466] Loss_D: -0.019480 Loss_G: 0.022214 Loss_D_real: -0.024177 Loss_D_fake -0.004697
[1390/5000][405/535][143467] Loss_D: -0.020623 Loss_G: 0.003287 Loss_D_real: -0.011978 Loss_D_fake 0.008646
[1390/5000][410/535][143468] Loss_D: -0.019136 Loss_G: 0.017758 Loss_D_real: -0.025809 Loss_D_fake -0.006673
[1390/5000][415/535][143469] Loss_D: -0.020518 Loss_G: 0.004845 Loss_D_real: -0.026551 Loss_D_fake -0.006034
[1390/5000][420/535][143470] Loss_D: -0.020719 Loss_G: -0.004495 Loss_D_real: 0.002014 Loss_D_fake 0.022733
[1390/5000][425/535][143471] Loss_D: -0.020845 Loss_G: -0.002924 Loss_D_real: -0.011974 Loss_D_fake 0.008871
[1390/5000][430/535][143472] Loss_D: -0.019904 Loss_G: 0.002183 Loss_D_real: -0.008501 Loss_D_fake 0.011403
[1390/5000][435/535][143473] Loss_D: -0.021546 Loss_G: 0.000043 Loss_D_real: -0.005863 Loss_D_fake 0.015683
[1390/5000][440/535][143474] Loss_D: -0.019766 Loss_G: -0.006435 Loss_D_real: -0.010423 Loss_D_fake 0.009342
[1390/5000][445/535][143475] Loss_D: -0.021047 Loss_G: 0.005921 Loss_D_real: -0.021218 Loss_D_fake -0.000171
[1390/5000][450/535][143476] Loss_D: -0.020869 Loss_G: -0.001772 Loss_D_real: -0.019487 Loss_D_fake 0.001382
[1390/5000][455/535][143477] Loss_D: -0.020040 Loss_G: 0.027237 Loss_D_real: -0.032831 Loss_D_fake -0.012791
[1390/5000][460/535][143478] Loss_D: -0.019209 Loss_G: -0.019262 Loss_D_real: 0.000948 Loss_D_fake 0.020157
[1390/5000][465/535][143479] Loss_D: -0.019823 Loss_G: 0.009470 Loss_D_real: -0.013568 Loss_D_fake 0.006255
[1390/5000][470/535][143480] Loss_D: -0.018457 Loss_G: 0.026726 Loss_D_real: -0.025654 Loss_D_fake -0.007198
[1390/5000][475/535][143481] Loss_D: -0.020326 Loss_G: 0.015466 Loss_D_real: -0.025917 Loss_D_fake -0.005591
[1390/5000][480/535][143482] Loss_D: -0.018935 Loss_G: 0.003901 Loss_D_real: -0.008184 Loss_D_fake 0.010751
[1390/5000][485/535][143483] Loss_D: -0.019057 Loss_G: 0.011806 Loss_D_real: -0.029232 Loss_D_fake -0.010176
[1390/5000][490/535][143484] Loss_D: -0.019583 Loss_G: 0.000540 Loss_D_real: -0.012638 Loss_D_fake 0.006945
[1390/5000][495/535][143485] Loss_D: -0.020756 Loss_G: -0.007644 Loss_D_real: -0.009353 Loss_D_fake 0.011403
[1390/5000][500/535][143486] Loss_D: -0.019352 Loss_G: 0.024010 Loss_D_real: -0.025131 Loss_D_fake -0.005779
[1390/5000][505/535][143487] Loss_D: -0.020894 Loss_G: 0.007675 Loss_D_real: -0.013481 Loss_D_fake 0.007413
[1390/5000][510/535][143488] Loss_D: -0.019390 Loss_G: 0.010821 Loss_D_real: -0.021579 Loss_D_fake -0.002189
[1390/5000][515/535][143489] Loss_D: -0.020565 Loss_G: 0.021785 Loss_D_real: -0.028246 Loss_D_fake -0.007681
[1390/5000][520/535][143490] Loss_D: -0.019712 Loss_G: 0.015849 Loss_D_real: -0.010099 Loss_D_fake 0.009612
[1390/5000][525/535][143491] Loss_D: -0.019831 Loss_G: 0.005294 Loss_D_real: -0.015208 Loss_D_fake 0.004622
[1390/5000][530/535][143492] Loss_D: -0.018465 Loss_G: 0.019253 Loss_D_real: -0.029298 Loss_D_fake -0.010833
[1390/5000][535/535][143493] Loss_D: -0.020023 Loss_G: 0.015698 Loss_D_real: -0.036988 Loss_D_fake -0.016965
[1391/5000][5/535][143494] Loss_D: -0.019057 Loss_G: -0.016389 Loss_D_real: -0.000556 Loss_D_fake 0.018501
[1391/5000][10/535][143495] Loss_D: -0.018356 Loss_G: 0.026212 Loss_D_real: -0.023550 Loss_D_fake -0.005194
[1391/5000][15/535][143496] Loss_D: -0.019899 Loss_G: 0.017014 Loss_D_real: -0.028866 Loss_D_fake -0.008967
[1391/5000][20/535][143497] Loss_D: -0.017146 Loss_G: -0.019898 Loss_D_real: 0.018214 Loss_D_fake 0.035360
[1391/5000][25/535][143498] Loss_D: -0.018717 Loss_G: 0.016757 Loss_D_real: -0.027876 Loss_D_fake -0.009159
[1391/5000][30/535][143499] Loss_D: -0.019791 Loss_G: 0.001771 Loss_D_real: -0.011327 Loss_D_fake 0.008464
[1391/5000][35/535][143500] Loss_D: -0.019733 Loss_G: 0.018563 Loss_D_real: -0.031029 Loss_D_fake -0.011296
[1391/5000][135/535][143501] Loss_D: -0.023639 Loss_G: 0.012711 Loss_D_real: -0.031593 Loss_D_fake -0.007955
[1391/5000][140/535][143502] Loss_D: -0.019606 Loss_G: 0.007510 Loss_D_real: -0.017306 Loss_D_fake 0.002301
[1391/5000][145/535][143503] Loss_D: -0.019102 Loss_G: -0.005064 Loss_D_real: -0.006768 Loss_D_fake 0.012334
[1391/5000][150/535][143504] Loss_D: -0.019069 Loss_G: 0.004404 Loss_D_real: -0.020017 Loss_D_fake -0.000947
[1391/5000][155/535][143505] Loss_D: -0.018955 Loss_G: -0.003402 Loss_D_real: -0.020939 Loss_D_fake -0.001984
[1391/5000][160/535][143506] Loss_D: -0.020002 Loss_G: 0.009731 Loss_D_real: -0.013003 Loss_D_fake 0.006999
[1391/5000][165/535][143507] Loss_D: -0.019970 Loss_G: 0.002127 Loss_D_real: -0.013368 Loss_D_fake 0.006602
[1391/5000][170/535][143508] Loss_D: -0.019131 Loss_G: 0.014692 Loss_D_real: -0.011895 Loss_D_fake 0.007236
[1391/5000][175/535][143509] Loss_D: -0.020914 Loss_G: 0.008735 Loss_D_real: -0.005007 Loss_D_fake 0.015907
[1391/5000][180/535][143510] Loss_D: -0.020382 Loss_G: 0.005599 Loss_D_real: -0.017706 Loss_D_fake 0.002676
[1391/5000][185/535][143511] Loss_D: -0.018582 Loss_G: -0.016521 Loss_D_real: -0.006034 Loss_D_fake 0.012548
[1391/5000][190/535][143512] Loss_D: -0.018441 Loss_G: -0.001944 Loss_D_real: -0.009098 Loss_D_fake 0.009343
[1391/5000][195/535][143513] Loss_D: -0.018323 Loss_G: 0.035185 Loss_D_real: -0.033975 Loss_D_fake -0.015652
[1391/5000][200/535][143514] Loss_D: -0.020026 Loss_G: 0.001714 Loss_D_real: -0.020223 Loss_D_fake -0.000197
[1391/5000][205/535][143515] Loss_D: -0.019293 Loss_G: -0.000528 Loss_D_real: -0.016389 Loss_D_fake 0.002904
[1391/5000][210/535][143516] Loss_D: -0.018742 Loss_G: 0.032914 Loss_D_real: -0.027617 Loss_D_fake -0.008875
[1391/5000][215/535][143517] Loss_D: -0.019023 Loss_G: 0.025615 Loss_D_real: -0.028224 Loss_D_fake -0.009201
[1391/5000][220/535][143518] Loss_D: -0.019433 Loss_G: 0.011660 Loss_D_real: -0.022467 Loss_D_fake -0.003034
[1391/5000][225/535][143519] Loss_D: -0.019515 Loss_G: 0.010706 Loss_D_real: -0.029653 Loss_D_fake -0.010138
[1391/5000][230/535][143520] Loss_D: -0.019612 Loss_G: 0.003488 Loss_D_real: -0.016438 Loss_D_fake 0.003174
[1391/5000][235/535][143521] Loss_D: -0.019499 Loss_G: 0.004192 Loss_D_real: -0.028446 Loss_D_fake -0.008948
[1391/5000][240/535][143522] Loss_D: -0.020291 Loss_G: 0.012605 Loss_D_real: -0.028827 Loss_D_fake -0.008536
[1391/5000][245/535][143523] Loss_D: -0.019730 Loss_G: -0.012705 Loss_D_real: -0.006143 Loss_D_fake 0.013587
[1391/5000][250/535][143524] Loss_D: -0.018883 Loss_G: 0.020481 Loss_D_real: -0.025321 Loss_D_fake -0.006438
[1391/5000][255/535][143525] Loss_D: -0.020396 Loss_G: -0.005680 Loss_D_real: -0.003195 Loss_D_fake 0.017200
[1391/5000][260/535][143526] Loss_D: -0.019639 Loss_G: 0.001163 Loss_D_real: -0.015128 Loss_D_fake 0.004511
[1391/5000][265/535][143527] Loss_D: -0.018548 Loss_G: 0.034243 Loss_D_real: -0.025947 Loss_D_fake -0.007400
[1391/5000][270/535][143528] Loss_D: -0.020067 Loss_G: 0.010212 Loss_D_real: -0.014072 Loss_D_fake 0.005995
[1391/5000][275/535][143529] Loss_D: -0.019756 Loss_G: 0.016510 Loss_D_real: -0.017074 Loss_D_fake 0.002682
[1391/5000][280/535][143530] Loss_D: -0.020410 Loss_G: -0.001416 Loss_D_real: -0.016326 Loss_D_fake 0.004083
[1391/5000][285/535][143531] Loss_D: -0.019828 Loss_G: -0.012044 Loss_D_real: 0.003747 Loss_D_fake 0.023575
[1391/5000][290/535][143532] Loss_D: -0.019618 Loss_G: 0.001289 Loss_D_real: -0.012450 Loss_D_fake 0.007168
[1391/5000][295/535][143533] Loss_D: -0.018843 Loss_G: -0.015449 Loss_D_real: -0.003546 Loss_D_fake 0.015296
[1391/5000][300/535][143534] Loss_D: -0.019245 Loss_G: 0.017634 Loss_D_real: -0.026927 Loss_D_fake -0.007682
[1391/5000][305/535][143535] Loss_D: -0.020444 Loss_G: 0.012497 Loss_D_real: -0.029273 Loss_D_fake -0.008829
[1391/5000][310/535][143536] Loss_D: -0.020085 Loss_G: 0.008856 Loss_D_real: -0.022957 Loss_D_fake -0.002872
[1391/5000][315/535][143537] Loss_D: -0.019515 Loss_G: -0.002280 Loss_D_real: -0.007748 Loss_D_fake 0.011768
[1391/5000][320/535][143538] Loss_D: -0.021615 Loss_G: 0.002909 Loss_D_real: -0.001226 Loss_D_fake 0.020390
[1391/5000][325/535][143539] Loss_D: -0.018945 Loss_G: 0.007345 Loss_D_real: -0.009538 Loss_D_fake 0.009407
[1391/5000][330/535][143540] Loss_D: -0.019112 Loss_G: -0.007423 Loss_D_real: -0.013730 Loss_D_fake 0.005382
[1391/5000][335/535][143541] Loss_D: -0.018798 Loss_G: 0.012692 Loss_D_real: -0.021833 Loss_D_fake -0.003035
[1391/5000][340/535][143542] Loss_D: -0.018226 Loss_G: 0.016810 Loss_D_real: -0.020654 Loss_D_fake -0.002428
[1391/5000][345/535][143543] Loss_D: -0.019741 Loss_G: 0.013169 Loss_D_real: -0.021286 Loss_D_fake -0.001546
[1391/5000][350/535][143544] Loss_D: -0.020739 Loss_G: -0.006635 Loss_D_real: -0.012051 Loss_D_fake 0.008688
[1391/5000][355/535][143545] Loss_D: -0.021098 Loss_G: 0.010358 Loss_D_real: -0.016776 Loss_D_fake 0.004321
[1391/5000][360/535][143546] Loss_D: -0.021071 Loss_G: 0.010535 Loss_D_real: -0.030974 Loss_D_fake -0.009903
[1391/5000][365/535][143547] Loss_D: -0.020788 Loss_G: 0.005474 Loss_D_real: -0.008134 Loss_D_fake 0.012655
[1391/5000][370/535][143548] Loss_D: -0.019722 Loss_G: 0.017771 Loss_D_real: -0.022240 Loss_D_fake -0.002518
[1391/5000][375/535][143549] Loss_D: -0.021157 Loss_G: 0.027855 Loss_D_real: -0.031030 Loss_D_fake -0.009873
[1391/5000][380/535][143550] Loss_D: -0.020659 Loss_G: 0.011787 Loss_D_real: -0.011988 Loss_D_fake 0.008671
[1391/5000][385/535][143551] Loss_D: -0.020706 Loss_G: 0.003367 Loss_D_real: -0.013793 Loss_D_fake 0.006913
[1391/5000][390/535][143552] Loss_D: -0.019743 Loss_G: 0.001660 Loss_D_real: -0.011847 Loss_D_fake 0.007896
[1391/5000][395/535][143553] Loss_D: -0.018778 Loss_G: 0.019851 Loss_D_real: -0.029258 Loss_D_fake -0.010480
[1391/5000][400/535][143554] Loss_D: -0.019463 Loss_G: 0.013578 Loss_D_real: -0.021603 Loss_D_fake -0.002140
[1391/5000][405/535][143555] Loss_D: -0.020950 Loss_G: -0.001743 Loss_D_real: -0.008323 Loss_D_fake 0.012627
[1391/5000][410/535][143556] Loss_D: -0.019905 Loss_G: 0.018443 Loss_D_real: -0.015857 Loss_D_fake 0.004048
[1391/5000][415/535][143557] Loss_D: -0.021321 Loss_G: -0.001377 Loss_D_real: -0.008501 Loss_D_fake 0.012820
[1391/5000][420/535][143558] Loss_D: -0.018982 Loss_G: 0.027177 Loss_D_real: -0.025195 Loss_D_fake -0.006213
[1391/5000][425/535][143559] Loss_D: -0.020230 Loss_G: 0.003093 Loss_D_real: -0.006653 Loss_D_fake 0.013576
[1391/5000][430/535][143560] Loss_D: -0.020254 Loss_G: 0.012402 Loss_D_real: -0.020464 Loss_D_fake -0.000210
[1391/5000][435/535][143561] Loss_D: -0.019922 Loss_G: 0.011641 Loss_D_real: -0.021166 Loss_D_fake -0.001244
[1391/5000][440/535][143562] Loss_D: -0.020122 Loss_G: -0.010674 Loss_D_real: -0.012871 Loss_D_fake 0.007251
[1391/5000][445/535][143563] Loss_D: -0.020565 Loss_G: 0.010840 Loss_D_real: -0.020825 Loss_D_fake -0.000260
[1391/5000][450/535][143564] Loss_D: -0.019856 Loss_G: -0.008744 Loss_D_real: -0.007098 Loss_D_fake 0.012758
[1391/5000][455/535][143565] Loss_D: -0.020804 Loss_G: 0.002961 Loss_D_real: 0.000488 Loss_D_fake 0.021292
[1391/5000][460/535][143566] Loss_D: -0.018102 Loss_G: 0.017414 Loss_D_real: -0.027067 Loss_D_fake -0.008965
[1391/5000][465/535][143567] Loss_D: -0.020084 Loss_G: 0.004776 Loss_D_real: -0.022924 Loss_D_fake -0.002840
[1391/5000][470/535][143568] Loss_D: -0.020663 Loss_G: -0.003349 Loss_D_real: -0.008368 Loss_D_fake 0.012295
[1391/5000][475/535][143569] Loss_D: -0.019762 Loss_G: 0.036567 Loss_D_real: -0.031838 Loss_D_fake -0.012076
[1391/5000][480/535][143570] Loss_D: -0.019657 Loss_G: -0.001909 Loss_D_real: -0.013211 Loss_D_fake 0.006446
[1391/5000][485/535][143571] Loss_D: -0.020295 Loss_G: 0.014284 Loss_D_real: -0.013208 Loss_D_fake 0.007087
[1391/5000][490/535][143572] Loss_D: -0.019332 Loss_G: 0.015739 Loss_D_real: -0.024901 Loss_D_fake -0.005569
[1391/5000][495/535][143573] Loss_D: -0.019436 Loss_G: 0.021946 Loss_D_real: -0.026364 Loss_D_fake -0.006928
[1391/5000][500/535][143574] Loss_D: -0.020414 Loss_G: 0.001668 Loss_D_real: -0.013383 Loss_D_fake 0.007031
[1391/5000][505/535][143575] Loss_D: -0.019888 Loss_G: 0.010155 Loss_D_real: -0.018517 Loss_D_fake 0.001371
[1391/5000][510/535][143576] Loss_D: -0.019265 Loss_G: 0.013164 Loss_D_real: -0.026203 Loss_D_fake -0.006938
[1391/5000][515/535][143577] Loss_D: -0.019450 Loss_G: 0.008736 Loss_D_real: -0.016686 Loss_D_fake 0.002763
[1391/5000][520/535][143578] Loss_D: -0.019348 Loss_G: 0.014074 Loss_D_real: -0.009075 Loss_D_fake 0.010273
[1391/5000][525/535][143579] Loss_D: -0.019648 Loss_G: 0.020868 Loss_D_real: -0.031839 Loss_D_fake -0.012191
[1391/5000][530/535][143580] Loss_D: -0.019543 Loss_G: 0.017589 Loss_D_real: -0.019108 Loss_D_fake 0.000435
[1391/5000][535/535][143581] Loss_D: -0.019253 Loss_G: 0.001888 Loss_D_real: -0.007049 Loss_D_fake 0.012204
[1392/5000][5/535][143582] Loss_D: -0.019143 Loss_G: 0.009453 Loss_D_real: -0.030081 Loss_D_fake -0.010938
[1392/5000][10/535][143583] Loss_D: -0.019451 Loss_G: -0.008286 Loss_D_real: -0.001861 Loss_D_fake 0.017590
[1392/5000][15/535][143584] Loss_D: -0.020140 Loss_G: 0.000103 Loss_D_real: -0.027870 Loss_D_fake -0.007730
[1392/5000][20/535][143585] Loss_D: -0.021285 Loss_G: 0.005221 Loss_D_real: -0.012888 Loss_D_fake 0.008397
[1392/5000][25/535][143586] Loss_D: -0.021333 Loss_G: 0.006453 Loss_D_real: -0.016150 Loss_D_fake 0.005183
[1392/5000][30/535][143587] Loss_D: -0.020220 Loss_G: 0.012710 Loss_D_real: -0.032036 Loss_D_fake -0.011816
[1392/5000][35/535][143588] Loss_D: -0.020652 Loss_G: 0.024384 Loss_D_real: -0.028334 Loss_D_fake -0.007682
[1392/5000][40/535][143589] Loss_D: -0.019849 Loss_G: 0.020983 Loss_D_real: -0.032668 Loss_D_fake -0.012818
[1392/5000][45/535][143590] Loss_D: -0.021525 Loss_G: 0.015819 Loss_D_real: -0.017177 Loss_D_fake 0.004347
[1392/5000][50/535][143591] Loss_D: -0.020320 Loss_G: 0.003742 Loss_D_real: -0.000259 Loss_D_fake 0.020062
[1392/5000][55/535][143592] Loss_D: -0.018406 Loss_G: 0.006268 Loss_D_real: -0.010907 Loss_D_fake 0.007499
[1392/5000][60/535][143593] Loss_D: -0.018660 Loss_G: 0.031486 Loss_D_real: -0.028107 Loss_D_fake -0.009447
[1392/5000][65/535][143594] Loss_D: -0.019752 Loss_G: 0.007871 Loss_D_real: -0.024989 Loss_D_fake -0.005237
[1392/5000][70/535][143595] Loss_D: -0.020125 Loss_G: 0.015786 Loss_D_real: -0.025527 Loss_D_fake -0.005402
[1392/5000][75/535][143596] Loss_D: -0.019684 Loss_G: -0.002309 Loss_D_real: -0.017927 Loss_D_fake 0.001757
[1392/5000][80/535][143597] Loss_D: -0.019487 Loss_G: 0.018248 Loss_D_real: -0.028828 Loss_D_fake -0.009340
[1392/5000][85/535][143598] Loss_D: -0.020749 Loss_G: 0.004516 Loss_D_real: -0.011613 Loss_D_fake 0.009137
[1392/5000][90/535][143599] Loss_D: -0.019872 Loss_G: 0.020475 Loss_D_real: -0.030014 Loss_D_fake -0.010142
[1392/5000][95/535][143600] Loss_D: -0.019387 Loss_G: 0.021739 Loss_D_real: -0.023063 Loss_D_fake -0.003676
[1392/5000][100/535][143601] Loss_D: -0.020731 Loss_G: 0.002439 Loss_D_real: -0.014636 Loss_D_fake 0.006095
[1392/5000][105/535][143602] Loss_D: -0.019738 Loss_G: 0.018596 Loss_D_real: -0.019212 Loss_D_fake 0.000526
[1392/5000][110/535][143603] Loss_D: -0.020141 Loss_G: 0.008238 Loss_D_real: -0.014786 Loss_D_fake 0.005354
[1392/5000][115/535][143604] Loss_D: -0.019857 Loss_G: 0.015269 Loss_D_real: -0.025816 Loss_D_fake -0.005959
[1392/5000][120/535][143605] Loss_D: -0.021378 Loss_G: 0.003668 Loss_D_real: 0.002437 Loss_D_fake 0.023815
[1392/5000][125/535][143606] Loss_D: -0.020186 Loss_G: 0.012035 Loss_D_real: -0.013603 Loss_D_fake 0.006583
[1392/5000][130/535][143607] Loss_D: -0.019897 Loss_G: 0.015864 Loss_D_real: -0.021762 Loss_D_fake -0.001865
[1392/5000][135/535][143608] Loss_D: -0.020986 Loss_G: 0.002747 Loss_D_real: -0.016650 Loss_D_fake 0.004335
[1392/5000][140/535][143609] Loss_D: -0.020301 Loss_G: 0.014386 Loss_D_real: -0.026596 Loss_D_fake -0.006295
[1392/5000][145/535][143610] Loss_D: -0.019698 Loss_G: 0.003991 Loss_D_real: -0.028566 Loss_D_fake -0.008868
[1392/5000][150/535][143611] Loss_D: -0.019458 Loss_G: -0.019019 Loss_D_real: -0.009854 Loss_D_fake 0.009604
[1392/5000][155/535][143612] Loss_D: -0.020593 Loss_G: 0.005083 Loss_D_real: -0.016436 Loss_D_fake 0.004157
[1392/5000][160/535][143613] Loss_D: -0.019000 Loss_G: 0.008592 Loss_D_real: -0.018989 Loss_D_fake 0.000011
[1392/5000][165/535][143614] Loss_D: -0.020616 Loss_G: 0.008105 Loss_D_real: -0.016062 Loss_D_fake 0.004555
[1392/5000][170/535][143615] Loss_D: -0.020891 Loss_G: 0.022144 Loss_D_real: -0.020964 Loss_D_fake -0.000072
[1392/5000][175/535][143616] Loss_D: -0.020170 Loss_G: 0.010753 Loss_D_real: -0.002045 Loss_D_fake 0.018125
[1392/5000][180/535][143617] Loss_D: -0.020597 Loss_G: 0.010235 Loss_D_real: -0.010602 Loss_D_fake 0.009995
[1392/5000][185/535][143618] Loss_D: -0.019961 Loss_G: -0.006642 Loss_D_real: -0.003686 Loss_D_fake 0.016276
[1392/5000][190/535][143619] Loss_D: -0.019436 Loss_G: 0.016527 Loss_D_real: -0.024100 Loss_D_fake -0.004664
[1392/5000][195/535][143620] Loss_D: -0.019770 Loss_G: 0.001455 Loss_D_real: -0.011430 Loss_D_fake 0.008340
[1392/5000][200/535][143621] Loss_D: -0.020006 Loss_G: 0.009699 Loss_D_real: -0.025978 Loss_D_fake -0.005972
[1392/5000][205/535][143622] Loss_D: -0.019349 Loss_G: 0.022093 Loss_D_real: -0.037281 Loss_D_fake -0.017932
[1392/5000][210/535][143623] Loss_D: -0.016335 Loss_G: 0.019926 Loss_D_real: -0.033148 Loss_D_fake -0.016813
[1392/5000][215/535][143624] Loss_D: -0.019810 Loss_G: 0.008915 Loss_D_real: -0.022248 Loss_D_fake -0.002438
[1392/5000][220/535][143625] Loss_D: -0.019768 Loss_G: 0.002013 Loss_D_real: -0.024971 Loss_D_fake -0.005203
[1392/5000][225/535][143626] Loss_D: -0.019065 Loss_G: 0.018996 Loss_D_real: -0.020946 Loss_D_fake -0.001881
[1392/5000][230/535][143627] Loss_D: -0.018593 Loss_G: 0.018327 Loss_D_real: -0.026510 Loss_D_fake -0.007917
[1392/5000][235/535][143628] Loss_D: -0.021136 Loss_G: 0.013595 Loss_D_real: -0.026673 Loss_D_fake -0.005538
[1392/5000][240/535][143629] Loss_D: -0.019480 Loss_G: -0.002205 Loss_D_real: -0.007549 Loss_D_fake 0.011931
[1392/5000][245/535][143630] Loss_D: -0.021136 Loss_G: 0.008175 Loss_D_real: -0.016109 Loss_D_fake 0.005027
[1392/5000][250/535][143631] Loss_D: -0.020613 Loss_G: 0.003453 Loss_D_real: -0.020504 Loss_D_fake 0.000109
[1392/5000][255/535][143632] Loss_D: -0.018776 Loss_G: 0.014284 Loss_D_real: -0.023531 Loss_D_fake -0.004755
[1392/5000][260/535][143633] Loss_D: -0.019002 Loss_G: 0.013795 Loss_D_real: -0.021300 Loss_D_fake -0.002298
[1392/5000][265/535][143634] Loss_D: -0.019786 Loss_G: -0.004650 Loss_D_real: -0.006554 Loss_D_fake 0.013232
[1392/5000][270/535][143635] Loss_D: -0.020115 Loss_G: 0.007221 Loss_D_real: -0.020520 Loss_D_fake -0.000405
[1392/5000][275/535][143636] Loss_D: -0.020371 Loss_G: 0.016477 Loss_D_real: -0.027401 Loss_D_fake -0.007031
[1392/5000][280/535][143637] Loss_D: -0.021565 Loss_G: -0.001003 Loss_D_real: -0.013463 Loss_D_fake 0.008103
[1392/5000][285/535][143638] Loss_D: -0.020976 Loss_G: 0.007672 Loss_D_real: -0.015067 Loss_D_fake 0.005909
[1392/5000][290/535][143639] Loss_D: -0.021294 Loss_G: -0.000419 Loss_D_real: -0.013440 Loss_D_fake 0.007854
[1392/5000][295/535][143640] Loss_D: -0.020660 Loss_G: 0.012390 Loss_D_real: -0.018055 Loss_D_fake 0.002604
[1392/5000][300/535][143641] Loss_D: -0.019260 Loss_G: 0.012444 Loss_D_real: -0.032138 Loss_D_fake -0.012878
[1392/5000][305/535][143642] Loss_D: -0.019924 Loss_G: -0.019334 Loss_D_real: 0.001614 Loss_D_fake 0.021539
[1392/5000][310/535][143643] Loss_D: -0.019744 Loss_G: 0.028871 Loss_D_real: -0.027901 Loss_D_fake -0.008158
[1392/5000][315/535][143644] Loss_D: -0.019789 Loss_G: 0.002351 Loss_D_real: -0.024222 Loss_D_fake -0.004432
[1392/5000][320/535][143645] Loss_D: -0.019450 Loss_G: 0.024495 Loss_D_real: -0.032594 Loss_D_fake -0.013144
[1392/5000][325/535][143646] Loss_D: -0.018992 Loss_G: 0.029695 Loss_D_real: -0.013074 Loss_D_fake 0.005918
[1392/5000][330/535][143647] Loss_D: -0.017691 Loss_G: -0.007065 Loss_D_real: -0.004913 Loss_D_fake 0.012778
[1392/5000][335/535][143648] Loss_D: -0.019359 Loss_G: 0.022679 Loss_D_real: -0.028093 Loss_D_fake -0.008733
[1392/5000][340/535][143649] Loss_D: -0.020385 Loss_G: 0.002679 Loss_D_real: -0.016595 Loss_D_fake 0.003790
[1392/5000][345/535][143650] Loss_D: -0.019884 Loss_G: 0.011355 Loss_D_real: -0.017943 Loss_D_fake 0.001941
[1392/5000][350/535][143651] Loss_D: -0.018969 Loss_G: 0.031501 Loss_D_real: -0.019671 Loss_D_fake -0.000703
[1392/5000][355/535][143652] Loss_D: -0.020153 Loss_G: 0.012528 Loss_D_real: -0.011419 Loss_D_fake 0.008734
[1392/5000][360/535][143653] Loss_D: -0.019975 Loss_G: 0.005918 Loss_D_real: -0.011697 Loss_D_fake 0.008278
[1392/5000][365/535][143654] Loss_D: -0.020677 Loss_G: -0.000046 Loss_D_real: -0.014093 Loss_D_fake 0.006584
[1392/5000][370/535][143655] Loss_D: -0.020389 Loss_G: -0.003156 Loss_D_real: -0.006333 Loss_D_fake 0.014056
[1392/5000][375/535][143656] Loss_D: -0.018850 Loss_G: 0.012057 Loss_D_real: -0.025077 Loss_D_fake -0.006227
[1392/5000][380/535][143657] Loss_D: -0.019363 Loss_G: 0.013798 Loss_D_real: -0.006403 Loss_D_fake 0.012960
[1392/5000][385/535][143658] Loss_D: -0.019092 Loss_G: 0.020416 Loss_D_real: -0.026650 Loss_D_fake -0.007557
[1392/5000][390/535][143659] Loss_D: -0.018102 Loss_G: 0.003425 Loss_D_real: 0.003030 Loss_D_fake 0.021131
[1392/5000][395/535][143660] Loss_D: -0.019560 Loss_G: 0.015811 Loss_D_real: -0.020737 Loss_D_fake -0.001177
[1392/5000][400/535][143661] Loss_D: -0.019804 Loss_G: 0.000842 Loss_D_real: -0.027142 Loss_D_fake -0.007338
[1392/5000][405/535][143662] Loss_D: -0.020933 Loss_G: 0.008797 Loss_D_real: -0.020328 Loss_D_fake 0.000605
[1392/5000][410/535][143663] Loss_D: -0.020193 Loss_G: -0.002103 Loss_D_real: -0.013308 Loss_D_fake 0.006886
[1392/5000][415/535][143664] Loss_D: -0.020738 Loss_G: 0.015648 Loss_D_real: -0.032541 Loss_D_fake -0.011803
[1392/5000][420/535][143665] Loss_D: -0.019077 Loss_G: 0.012829 Loss_D_real: -0.027441 Loss_D_fake -0.008363
[1392/5000][425/535][143666] Loss_D: -0.019365 Loss_G: 0.015964 Loss_D_real: -0.027671 Loss_D_fake -0.008306
[1392/5000][430/535][143667] Loss_D: -0.020385 Loss_G: -0.020022 Loss_D_real: -0.008596 Loss_D_fake 0.011789
[1392/5000][435/535][143668] Loss_D: -0.020043 Loss_G: 0.004710 Loss_D_real: -0.021569 Loss_D_fake -0.001527
[1392/5000][440/535][143669] Loss_D: -0.020261 Loss_G: 0.010877 Loss_D_real: -0.023727 Loss_D_fake -0.003466
[1392/5000][445/535][143670] Loss_D: -0.020012 Loss_G: -0.000120 Loss_D_real: -0.007443 Loss_D_fake 0.012569
[1392/5000][450/535][143671] Loss_D: -0.020466 Loss_G: 0.018166 Loss_D_real: -0.014670 Loss_D_fake 0.005797
[1392/5000][455/535][143672] Loss_D: -0.020350 Loss_G: -0.009818 Loss_D_real: -0.003410 Loss_D_fake 0.016940
[1392/5000][460/535][143673] Loss_D: -0.018099 Loss_G: 0.020091 Loss_D_real: -0.034221 Loss_D_fake -0.016123
[1392/5000][465/535][143674] Loss_D: -0.020441 Loss_G: 0.016253 Loss_D_real: -0.021020 Loss_D_fake -0.000579
[1392/5000][470/535][143675] Loss_D: -0.020931 Loss_G: -0.007343 Loss_D_real: -0.014811 Loss_D_fake 0.006120
[1392/5000][475/535][143676] Loss_D: -0.019338 Loss_G: 0.001865 Loss_D_real: -0.011091 Loss_D_fake 0.008247
[1392/5000][480/535][143677] Loss_D: -0.018669 Loss_G: 0.032926 Loss_D_real: -0.038214 Loss_D_fake -0.019545
[1392/5000][485/535][143678] Loss_D: -0.019020 Loss_G: 0.000549 Loss_D_real: -0.005915 Loss_D_fake 0.013105
[1392/5000][490/535][143679] Loss_D: -0.019802 Loss_G: 0.024449 Loss_D_real: -0.022235 Loss_D_fake -0.002433
[1392/5000][495/535][143680] Loss_D: -0.018597 Loss_G: 0.005843 Loss_D_real: -0.026353 Loss_D_fake -0.007757
[1392/5000][500/535][143681] Loss_D: -0.021051 Loss_G: -0.003502 Loss_D_real: -0.015534 Loss_D_fake 0.005517
[1392/5000][505/535][143682] Loss_D: -0.021411 Loss_G: -0.000539 Loss_D_real: -0.015132 Loss_D_fake 0.006279
[1392/5000][510/535][143683] Loss_D: -0.020025 Loss_G: 0.009370 Loss_D_real: -0.010917 Loss_D_fake 0.009108
[1392/5000][515/535][143684] Loss_D: -0.018138 Loss_G: 0.012812 Loss_D_real: -0.010989 Loss_D_fake 0.007149
[1392/5000][520/535][143685] Loss_D: -0.019834 Loss_G: -0.012400 Loss_D_real: -0.008534 Loss_D_fake 0.011300
[1392/5000][525/535][143686] Loss_D: -0.019684 Loss_G: 0.017742 Loss_D_real: -0.006822 Loss_D_fake 0.012861
[1392/5000][530/535][143687] Loss_D: -0.021243 Loss_G: 0.004294 Loss_D_real: -0.014052 Loss_D_fake 0.007190
[1392/5000][535/535][143688] Loss_D: -0.019192 Loss_G: 0.007780 Loss_D_real: -0.011832 Loss_D_fake 0.007359
[1393/5000][5/535][143689] Loss_D: -0.019552 Loss_G: 0.009910 Loss_D_real: -0.026589 Loss_D_fake -0.007037
[1393/5000][10/535][143690] Loss_D: -0.020206 Loss_G: 0.017277 Loss_D_real: -0.030996 Loss_D_fake -0.010790
[1393/5000][15/535][143691] Loss_D: -0.019893 Loss_G: 0.020103 Loss_D_real: -0.026267 Loss_D_fake -0.006374
[1393/5000][20/535][143692] Loss_D: -0.020023 Loss_G: 0.006303 Loss_D_real: -0.033185 Loss_D_fake -0.013162
[1393/5000][25/535][143693] Loss_D: -0.020454 Loss_G: -0.003920 Loss_D_real: -0.007734 Loss_D_fake 0.012720
[1393/5000][30/535][143694] Loss_D: -0.020898 Loss_G: 0.006954 Loss_D_real: -0.015196 Loss_D_fake 0.005702
[1393/5000][35/535][143695] Loss_D: -0.019236 Loss_G: 0.021950 Loss_D_real: -0.009569 Loss_D_fake 0.009667
[1393/5000][40/535][143696] Loss_D: -0.021205 Loss_G: -0.004499 Loss_D_real: -0.003001 Loss_D_fake 0.018204
[1393/5000][45/535][143697] Loss_D: -0.020026 Loss_G: 0.004620 Loss_D_real: -0.008562 Loss_D_fake 0.011464
[1393/5000][50/535][143698] Loss_D: -0.019670 Loss_G: -0.014234 Loss_D_real: -0.005254 Loss_D_fake 0.014416
[1393/5000][55/535][143699] Loss_D: -0.019526 Loss_G: 0.012384 Loss_D_real: -0.009304 Loss_D_fake 0.010222
[1393/5000][60/535][143700] Loss_D: -0.019534 Loss_G: 0.004103 Loss_D_real: -0.025919 Loss_D_fake -0.006384
[1393/5000][65/535][143701] Loss_D: -0.018696 Loss_G: -0.003275 Loss_D_real: -0.010724 Loss_D_fake 0.007972
[1393/5000][70/535][143702] Loss_D: -0.019647 Loss_G: 0.000073 Loss_D_real: -0.009972 Loss_D_fake 0.009675
[1393/5000][75/535][143703] Loss_D: -0.020113 Loss_G: 0.015979 Loss_D_real: -0.030702 Loss_D_fake -0.010588
[1393/5000][80/535][143704] Loss_D: -0.020717 Loss_G: -0.005464 Loss_D_real: -0.004376 Loss_D_fake 0.016341
[1393/5000][85/535][143705] Loss_D: -0.020562 Loss_G: -0.012386 Loss_D_real: 0.000168 Loss_D_fake 0.020730
[1393/5000][90/535][143706] Loss_D: -0.019551 Loss_G: 0.014164 Loss_D_real: -0.027766 Loss_D_fake -0.008215
[1393/5000][95/535][143707] Loss_D: -0.020021 Loss_G: 0.005955 Loss_D_real: -0.011356 Loss_D_fake 0.008665
[1393/5000][100/535][143708] Loss_D: -0.018995 Loss_G: 0.007403 Loss_D_real: -0.017529 Loss_D_fake 0.001466
[1393/5000][105/535][143709] Loss_D: -0.019505 Loss_G: 0.004041 Loss_D_real: -0.008492 Loss_D_fake 0.011013
[1393/5000][110/535][143710] Loss_D: -0.019345 Loss_G: 0.018662 Loss_D_real: -0.031537 Loss_D_fake -0.012192
[1393/5000][115/535][143711] Loss_D: -0.019626 Loss_G: 0.008541 Loss_D_real: -0.013989 Loss_D_fake 0.005637
[1393/5000][120/535][143712] Loss_D: -0.019722 Loss_G: 0.007008 Loss_D_real: -0.031485 Loss_D_fake -0.011763
[1393/5000][125/535][143713] Loss_D: -0.019801 Loss_G: 0.014161 Loss_D_real: -0.017043 Loss_D_fake 0.002758
[1393/5000][130/535][143714] Loss_D: -0.020694 Loss_G: 0.022368 Loss_D_real: -0.024356 Loss_D_fake -0.003662
[1393/5000][135/535][143715] Loss_D: -0.018381 Loss_G: 0.031735 Loss_D_real: -0.033280 Loss_D_fake -0.014899
[1393/5000][140/535][143716] Loss_D: -0.020545 Loss_G: -0.012853 Loss_D_real: -0.010750 Loss_D_fake 0.009796
[1393/5000][145/535][143717] Loss_D: -0.019884 Loss_G: 0.003399 Loss_D_real: -0.017526 Loss_D_fake 0.002358
[1393/5000][150/535][143718] Loss_D: -0.020381 Loss_G: 0.013792 Loss_D_real: -0.030028 Loss_D_fake -0.009647
[1393/5000][155/535][143719] Loss_D: -0.019637 Loss_G: -0.003946 Loss_D_real: 0.001857 Loss_D_fake 0.021495
[1393/5000][160/535][143720] Loss_D: -0.019635 Loss_G: 0.000947 Loss_D_real: -0.014705 Loss_D_fake 0.004930
[1393/5000][165/535][143721] Loss_D: -0.019132 Loss_G: -0.009733 Loss_D_real: -0.011453 Loss_D_fake 0.007679
[1393/5000][170/535][143722] Loss_D: -0.019981 Loss_G: 0.000551 Loss_D_real: -0.006121 Loss_D_fake 0.013859
[1393/5000][175/535][143723] Loss_D: -0.019635 Loss_G: 0.020245 Loss_D_real: -0.023352 Loss_D_fake -0.003717
[1393/5000][180/535][143724] Loss_D: -0.018330 Loss_G: -0.005631 Loss_D_real: -0.004323 Loss_D_fake 0.014007
[1393/5000][185/535][143725] Loss_D: -0.020424 Loss_G: 0.010029 Loss_D_real: -0.027165 Loss_D_fake -0.006741
[1393/5000][190/535][143726] Loss_D: -0.020976 Loss_G: 0.007428 Loss_D_real: -0.020968 Loss_D_fake 0.000008
[1393/5000][195/535][143727] Loss_D: -0.018227 Loss_G: 0.004054 Loss_D_real: -0.012442 Loss_D_fake 0.005786
[1393/5000][200/535][143728] Loss_D: -0.020028 Loss_G: 0.022422 Loss_D_real: -0.018318 Loss_D_fake 0.001711
[1393/5000][205/535][143729] Loss_D: -0.018749 Loss_G: -0.011003 Loss_D_real: -0.005607 Loss_D_fake 0.013142
[1393/5000][210/535][143730] Loss_D: -0.018598 Loss_G: 0.007893 Loss_D_real: -0.025969 Loss_D_fake -0.007372
[1393/5000][215/535][143731] Loss_D: -0.021117 Loss_G: 0.005411 Loss_D_real: -0.010138 Loss_D_fake 0.010979
[1393/5000][220/535][143732] Loss_D: -0.020217 Loss_G: -0.019870 Loss_D_real: -0.007821 Loss_D_fake 0.012396
[1393/5000][225/535][143733] Loss_D: -0.019816 Loss_G: 0.021492 Loss_D_real: -0.023538 Loss_D_fake -0.003723
[1393/5000][230/535][143734] Loss_D: -0.019984 Loss_G: -0.009769 Loss_D_real: -0.003914 Loss_D_fake 0.016069
[1393/5000][235/535][143735] Loss_D: -0.018889 Loss_G: 0.019533 Loss_D_real: -0.018790 Loss_D_fake 0.000099
[1393/5000][240/535][143736] Loss_D: -0.019649 Loss_G: 0.000584 Loss_D_real: -0.015645 Loss_D_fake 0.004004
[1393/5000][245/535][143737] Loss_D: -0.018168 Loss_G: 0.024057 Loss_D_real: -0.035721 Loss_D_fake -0.017553
[1393/5000][250/535][143738] Loss_D: -0.019682 Loss_G: 0.002760 Loss_D_real: -0.003807 Loss_D_fake 0.015875
[1393/5000][255/535][143739] Loss_D: -0.020723 Loss_G: 0.011006 Loss_D_real: -0.010841 Loss_D_fake 0.009882
[1393/5000][260/535][143740] Loss_D: -0.019452 Loss_G: 0.002447 Loss_D_real: -0.014371 Loss_D_fake 0.005081
[1393/5000][265/535][143741] Loss_D: -0.019061 Loss_G: 0.008291 Loss_D_real: -0.017927 Loss_D_fake 0.001134
[1393/5000][270/535][143742] Loss_D: -0.021169 Loss_G: 0.003720 Loss_D_real: -0.023372 Loss_D_fake -0.002202
[1393/5000][275/535][143743] Loss_D: -0.020380 Loss_G: -0.006392 Loss_D_real: -0.000363 Loss_D_fake 0.020017
[1393/5000][280/535][143744] Loss_D: -0.020296 Loss_G: 0.007735 Loss_D_real: -0.023452 Loss_D_fake -0.003155
[1393/5000][285/535][143745] Loss_D: -0.020632 Loss_G: 0.012993 Loss_D_real: -0.020815 Loss_D_fake -0.000183
[1393/5000][290/535][143746] Loss_D: -0.020454 Loss_G: -0.008382 Loss_D_real: 0.005284 Loss_D_fake 0.025738
[1393/5000][295/535][143747] Loss_D: -0.020128 Loss_G: 0.003537 Loss_D_real: -0.012629 Loss_D_fake 0.007499
[1393/5000][300/535][143748] Loss_D: -0.019437 Loss_G: 0.011935 Loss_D_real: -0.022038 Loss_D_fake -0.002601
[1393/5000][305/535][143749] Loss_D: -0.019882 Loss_G: -0.000031 Loss_D_real: -0.015648 Loss_D_fake 0.004233
[1393/5000][310/535][143750] Loss_D: -0.021595 Loss_G: 0.019314 Loss_D_real: -0.014883 Loss_D_fake 0.006711
[1393/5000][315/535][143751] Loss_D: -0.020897 Loss_G: 0.003538 Loss_D_real: -0.018261 Loss_D_fake 0.002636
[1393/5000][320/535][143752] Loss_D: -0.019902 Loss_G: 0.009234 Loss_D_real: -0.019007 Loss_D_fake 0.000896
[1393/5000][325/535][143753] Loss_D: -0.019767 Loss_G: 0.000326 Loss_D_real: -0.013399 Loss_D_fake 0.006368
[1393/5000][330/535][143754] Loss_D: -0.021628 Loss_G: 0.003914 Loss_D_real: -0.022127 Loss_D_fake -0.000499
[1393/5000][335/535][143755] Loss_D: -0.020544 Loss_G: 0.004846 Loss_D_real: -0.006782 Loss_D_fake 0.013762
[1393/5000][340/535][143756] Loss_D: -0.020028 Loss_G: -0.000893 Loss_D_real: -0.023283 Loss_D_fake -0.003255
[1393/5000][345/535][143757] Loss_D: -0.021057 Loss_G: 0.013343 Loss_D_real: -0.020191 Loss_D_fake 0.000866
[1393/5000][350/535][143758] Loss_D: -0.020560 Loss_G: 0.005697 Loss_D_real: -0.012162 Loss_D_fake 0.008398
[1393/5000][355/535][143759] Loss_D: -0.020452 Loss_G: 0.014874 Loss_D_real: -0.007459 Loss_D_fake 0.012994
[1393/5000][360/535][143760] Loss_D: -0.020492 Loss_G: -0.002640 Loss_D_real: -0.017848 Loss_D_fake 0.002644
[1393/5000][365/535][143761] Loss_D: -0.019368 Loss_G: -0.012963 Loss_D_real: -0.005206 Loss_D_fake 0.014162
[1393/5000][370/535][143762] Loss_D: -0.018528 Loss_G: 0.014081 Loss_D_real: -0.021486 Loss_D_fake -0.002958
[1393/5000][375/535][143763] Loss_D: -0.018244 Loss_G: -0.024164 Loss_D_real: -0.000242 Loss_D_fake 0.018002
[1393/5000][380/535][143764] Loss_D: -0.019333 Loss_G: 0.001688 Loss_D_real: -0.016715 Loss_D_fake 0.002618
[1393/5000][385/535][143765] Loss_D: -0.019366 Loss_G: -0.018748 Loss_D_real: -0.000149 Loss_D_fake 0.019216
[1393/5000][390/535][143766] Loss_D: -0.020607 Loss_G: 0.003597 Loss_D_real: -0.001824 Loss_D_fake 0.018783
[1393/5000][395/535][143767] Loss_D: -0.019719 Loss_G: 0.023322 Loss_D_real: -0.026020 Loss_D_fake -0.006301
[1393/5000][400/535][143768] Loss_D: -0.020338 Loss_G: 0.026755 Loss_D_real: -0.025946 Loss_D_fake -0.005608
[1393/5000][405/535][143769] Loss_D: -0.020604 Loss_G: 0.000333 Loss_D_real: -0.008013 Loss_D_fake 0.012592
[1393/5000][410/535][143770] Loss_D: -0.019695 Loss_G: -0.011401 Loss_D_real: 0.007523 Loss_D_fake 0.027218
[1393/5000][415/535][143771] Loss_D: -0.019845 Loss_G: -0.000008 Loss_D_real: -0.021081 Loss_D_fake -0.001236
[1393/5000][420/535][143772] Loss_D: -0.018608 Loss_G: -0.010970 Loss_D_real: 0.004448 Loss_D_fake 0.023056
[1393/5000][425/535][143773] Loss_D: -0.019735 Loss_G: 0.003784 Loss_D_real: -0.018793 Loss_D_fake 0.000942
[1393/5000][430/535][143774] Loss_D: -0.019720 Loss_G: 0.004667 Loss_D_real: -0.008522 Loss_D_fake 0.011198
[1393/5000][435/535][143775] Loss_D: -0.020750 Loss_G: 0.004320 Loss_D_real: -0.010070 Loss_D_fake 0.010679
[1393/5000][440/535][143776] Loss_D: -0.019139 Loss_G: 0.003911 Loss_D_real: -0.017259 Loss_D_fake 0.001880
[1393/5000][445/535][143777] Loss_D: -0.018663 Loss_G: 0.004896 Loss_D_real: -0.023983 Loss_D_fake -0.005320
[1393/5000][450/535][143778] Loss_D: -0.020650 Loss_G: 0.021856 Loss_D_real: -0.031537 Loss_D_fake -0.010886
[1393/5000][455/535][143779] Loss_D: -0.020791 Loss_G: -0.001262 Loss_D_real: -0.013237 Loss_D_fake 0.007554
[1393/5000][460/535][143780] Loss_D: -0.021533 Loss_G: 0.012797 Loss_D_real: -0.008189 Loss_D_fake 0.013345
[1393/5000][465/535][143781] Loss_D: -0.020941 Loss_G: 0.014729 Loss_D_real: -0.023840 Loss_D_fake -0.002898
[1393/5000][470/535][143782] Loss_D: -0.021348 Loss_G: -0.001291 Loss_D_real: -0.013301 Loss_D_fake 0.008047
[1393/5000][475/535][143783] Loss_D: -0.020930 Loss_G: 0.034014 Loss_D_real: -0.023216 Loss_D_fake -0.002287
[1393/5000][480/535][143784] Loss_D: -0.020747 Loss_G: 0.004810 Loss_D_real: -0.020241 Loss_D_fake 0.000506
[1393/5000][485/535][143785] Loss_D: -0.020236 Loss_G: 0.001000 Loss_D_real: -0.019972 Loss_D_fake 0.000263
[1393/5000][490/535][143786] Loss_D: -0.020334 Loss_G: 0.001616 Loss_D_real: -0.033829 Loss_D_fake -0.013495
[1393/5000][495/535][143787] Loss_D: -0.019465 Loss_G: 0.017328 Loss_D_real: -0.026656 Loss_D_fake -0.007191
[1393/5000][500/535][143788] Loss_D: -0.020595 Loss_G: 0.001766 Loss_D_real: -0.016805 Loss_D_fake 0.003790
[1393/5000][505/535][143789] Loss_D: -0.021650 Loss_G: 0.028647 Loss_D_real: -0.013712 Loss_D_fake 0.007938
[1393/5000][510/535][143790] Loss_D: -0.019053 Loss_G: 0.002203 Loss_D_real: -0.011901 Loss_D_fake 0.007153
[1393/5000][515/535][143791] Loss_D: -0.018224 Loss_G: 0.026237 Loss_D_real: -0.034776 Loss_D_fake -0.016552
[1393/5000][520/535][143792] Loss_D: -0.020518 Loss_G: -0.011643 Loss_D_real: -0.005074 Loss_D_fake 0.015444
[1393/5000][525/535][143793] Loss_D: -0.018789 Loss_G: 0.008030 Loss_D_real: -0.026016 Loss_D_fake -0.007227
[1393/5000][530/535][143794] Loss_D: -0.019751 Loss_G: -0.016820 Loss_D_real: -0.003884 Loss_D_fake 0.015867
[1393/5000][535/535][143795] Loss_D: -0.021565 Loss_G: -0.003595 Loss_D_real: -0.006254 Loss_D_fake 0.015311
[1394/5000][5/535][143796] Loss_D: -0.020647 Loss_G: 0.011580 Loss_D_real: -0.017500 Loss_D_fake 0.003147
[1394/5000][10/535][143797] Loss_D: -0.021570 Loss_G: 0.012016 Loss_D_real: -0.017775 Loss_D_fake 0.003795
[1394/5000][15/535][143798] Loss_D: -0.020025 Loss_G: 0.011557 Loss_D_real: -0.011596 Loss_D_fake 0.008429
[1394/5000][20/535][143799] Loss_D: -0.019300 Loss_G: 0.001385 Loss_D_real: -0.006788 Loss_D_fake 0.012512
[1394/5000][25/535][143800] Loss_D: -0.019423 Loss_G: 0.009028 Loss_D_real: -0.012378 Loss_D_fake 0.007046
[1394/5000][30/535][143801] Loss_D: -0.021410 Loss_G: 0.019326 Loss_D_real: -0.012827 Loss_D_fake 0.008583
[1394/5000][35/535][143802] Loss_D: -0.020253 Loss_G: 0.010499 Loss_D_real: -0.022017 Loss_D_fake -0.001764
[1394/5000][40/535][143803] Loss_D: -0.018582 Loss_G: 0.016410 Loss_D_real: -0.021470 Loss_D_fake -0.002888
[1394/5000][45/535][143804] Loss_D: -0.019650 Loss_G: 0.016703 Loss_D_real: -0.031429 Loss_D_fake -0.011779
[1394/5000][50/535][143805] Loss_D: -0.018662 Loss_G: -0.005001 Loss_D_real: 0.005154 Loss_D_fake 0.023817
[1394/5000][55/535][143806] Loss_D: -0.019871 Loss_G: -0.009399 Loss_D_real: -0.012348 Loss_D_fake 0.007523
[1394/5000][60/535][143807] Loss_D: -0.016863 Loss_G: 0.034656 Loss_D_real: -0.036999 Loss_D_fake -0.020136
[1394/5000][65/535][143808] Loss_D: -0.020078 Loss_G: 0.002156 Loss_D_real: -0.021246 Loss_D_fake -0.001168
[1394/5000][70/535][143809] Loss_D: -0.019536 Loss_G: -0.000975 Loss_D_real: -0.006326 Loss_D_fake 0.013210
[1394/5000][75/535][143810] Loss_D: -0.019857 Loss_G: 0.012645 Loss_D_real: -0.018757 Loss_D_fake 0.001101
[1394/5000][80/535][143811] Loss_D: -0.020948 Loss_G: 0.004647 Loss_D_real: -0.015405 Loss_D_fake 0.005543
[1394/5000][85/535][143812] Loss_D: -0.020220 Loss_G: 0.014885 Loss_D_real: -0.024356 Loss_D_fake -0.004136
[1394/5000][90/535][143813] Loss_D: -0.019131 Loss_G: -0.006352 Loss_D_real: -0.001081 Loss_D_fake 0.018051
[1394/5000][95/535][143814] Loss_D: -0.018211 Loss_G: 0.024432 Loss_D_real: -0.031504 Loss_D_fake -0.013293
[1394/5000][100/535][143815] Loss_D: -0.020677 Loss_G: -0.005102 Loss_D_real: -0.006949 Loss_D_fake 0.013728
[1394/5000][105/535][143816] Loss_D: -0.019674 Loss_G: 0.009858 Loss_D_real: -0.020786 Loss_D_fake -0.001113
[1394/5000][110/535][143817] Loss_D: -0.020675 Loss_G: 0.002835 Loss_D_real: -0.000948 Loss_D_fake 0.019726
[1394/5000][115/535][143818] Loss_D: -0.020875 Loss_G: -0.013144 Loss_D_real: -0.021008 Loss_D_fake -0.000134
[1394/5000][120/535][143819] Loss_D: -0.020626 Loss_G: -0.005585 Loss_D_real: -0.012450 Loss_D_fake 0.008176
[1394/5000][125/535][143820] Loss_D: -0.020069 Loss_G: 0.017326 Loss_D_real: -0.012555 Loss_D_fake 0.007514
[1394/5000][130/535][143821] Loss_D: -0.018653 Loss_G: -0.002302 Loss_D_real: -0.008964 Loss_D_fake 0.009689
[1394/5000][135/535][143822] Loss_D: -0.020085 Loss_G: -0.008491 Loss_D_real: -0.010053 Loss_D_fake 0.010033
[1394/5000][140/535][143823] Loss_D: -0.019513 Loss_G: 0.022246 Loss_D_real: -0.019279 Loss_D_fake 0.000234
[1394/5000][145/535][143824] Loss_D: -0.019837 Loss_G: -0.011495 Loss_D_real: -0.006595 Loss_D_fake 0.013242
[1394/5000][150/535][143825] Loss_D: -0.019482 Loss_G: 0.009664 Loss_D_real: -0.025606 Loss_D_fake -0.006124
[1394/5000][155/535][143826] Loss_D: -0.019790 Loss_G: 0.023176 Loss_D_real: -0.019077 Loss_D_fake 0.000713
[1394/5000][160/535][143827] Loss_D: -0.019597 Loss_G: 0.011407 Loss_D_real: -0.024012 Loss_D_fake -0.004415
[1394/5000][165/535][143828] Loss_D: -0.020640 Loss_G: -0.002659 Loss_D_real: -0.009721 Loss_D_fake 0.010919
[1394/5000][170/535][143829] Loss_D: -0.020120 Loss_G: -0.004402 Loss_D_real: -0.007514 Loss_D_fake 0.012606
[1394/5000][175/535][143830] Loss_D: -0.020965 Loss_G: 0.008246 Loss_D_real: -0.021676 Loss_D_fake -0.000711
[1394/5000][180/535][143831] Loss_D: -0.020187 Loss_G: 0.019836 Loss_D_real: -0.019943 Loss_D_fake 0.000243
[1394/5000][185/535][143832] Loss_D: -0.019859 Loss_G: 0.007738 Loss_D_real: -0.018377 Loss_D_fake 0.001482
[1394/5000][190/535][143833] Loss_D: -0.020951 Loss_G: 0.003504 Loss_D_real: -0.011245 Loss_D_fake 0.009706
[1394/5000][195/535][143834] Loss_D: -0.020875 Loss_G: 0.015629 Loss_D_real: -0.022204 Loss_D_fake -0.001329
[1394/5000][200/535][143835] Loss_D: -0.020638 Loss_G: -0.011470 Loss_D_real: -0.008588 Loss_D_fake 0.012050
[1394/5000][205/535][143836] Loss_D: -0.019209 Loss_G: -0.008114 Loss_D_real: -0.011332 Loss_D_fake 0.007877
[1394/5000][210/535][143837] Loss_D: -0.020135 Loss_G: 0.007152 Loss_D_real: -0.019956 Loss_D_fake 0.000178
[1394/5000][215/535][143838] Loss_D: -0.019687 Loss_G: 0.026467 Loss_D_real: -0.031161 Loss_D_fake -0.011474
[1394/5000][220/535][143839] Loss_D: -0.020398 Loss_G: -0.012347 Loss_D_real: -0.006843 Loss_D_fake 0.013555
[1394/5000][225/535][143840] Loss_D: -0.020851 Loss_G: 0.004691 Loss_D_real: -0.006660 Loss_D_fake 0.014192
[1394/5000][230/535][143841] Loss_D: -0.020681 Loss_G: 0.007841 Loss_D_real: -0.013996 Loss_D_fake 0.006686
[1394/5000][235/535][143842] Loss_D: -0.020102 Loss_G: -0.002429 Loss_D_real: -0.007413 Loss_D_fake 0.012689
[1394/5000][240/535][143843] Loss_D: -0.022020 Loss_G: 0.013321 Loss_D_real: -0.022481 Loss_D_fake -0.000460
[1394/5000][245/535][143844] Loss_D: -0.020612 Loss_G: -0.005243 Loss_D_real: -0.021051 Loss_D_fake -0.000440
[1394/5000][250/535][143845] Loss_D: -0.020309 Loss_G: 0.020389 Loss_D_real: -0.025083 Loss_D_fake -0.004774
[1394/5000][255/535][143846] Loss_D: -0.018749 Loss_G: -0.003861 Loss_D_real: -0.003826 Loss_D_fake 0.014923
[1394/5000][260/535][143847] Loss_D: -0.019143 Loss_G: 0.030335 Loss_D_real: -0.028767 Loss_D_fake -0.009624
[1394/5000][265/535][143848] Loss_D: -0.018278 Loss_G: -0.023440 Loss_D_real: -0.009765 Loss_D_fake 0.008513
[1394/5000][270/535][143849] Loss_D: -0.019455 Loss_G: 0.002698 Loss_D_real: -0.010897 Loss_D_fake 0.008558
[1394/5000][275/535][143850] Loss_D: -0.019596 Loss_G: 0.005943 Loss_D_real: -0.010170 Loss_D_fake 0.009425
[1394/5000][280/535][143851] Loss_D: -0.019013 Loss_G: 0.002075 Loss_D_real: -0.012053 Loss_D_fake 0.006960
[1394/5000][285/535][143852] Loss_D: -0.019595 Loss_G: 0.005493 Loss_D_real: -0.019928 Loss_D_fake -0.000332
[1394/5000][290/535][143853] Loss_D: -0.019500 Loss_G: 0.027512 Loss_D_real: -0.030514 Loss_D_fake -0.011015
[1394/5000][295/535][143854] Loss_D: -0.019793 Loss_G: -0.004452 Loss_D_real: 0.004595 Loss_D_fake 0.024388
[1394/5000][300/535][143855] Loss_D: -0.020089 Loss_G: 0.001117 Loss_D_real: -0.004290 Loss_D_fake 0.015799
[1394/5000][305/535][143856] Loss_D: -0.019237 Loss_G: 0.030142 Loss_D_real: -0.024355 Loss_D_fake -0.005118
[1394/5000][310/535][143857] Loss_D: -0.019543 Loss_G: -0.007145 Loss_D_real: -0.004496 Loss_D_fake 0.015047
[1394/5000][315/535][143858] Loss_D: -0.019820 Loss_G: -0.005129 Loss_D_real: -0.013495 Loss_D_fake 0.006325
[1394/5000][320/535][143859] Loss_D: -0.019912 Loss_G: 0.006593 Loss_D_real: -0.017751 Loss_D_fake 0.002161
[1394/5000][325/535][143860] Loss_D: -0.019052 Loss_G: -0.006702 Loss_D_real: -0.008034 Loss_D_fake 0.011018
[1394/5000][330/535][143861] Loss_D: -0.019047 Loss_G: 0.021818 Loss_D_real: -0.017014 Loss_D_fake 0.002033
[1394/5000][335/535][143862] Loss_D: -0.018822 Loss_G: 0.016493 Loss_D_real: -0.021155 Loss_D_fake -0.002333
[1394/5000][340/535][143863] Loss_D: -0.018692 Loss_G: 0.024578 Loss_D_real: -0.024500 Loss_D_fake -0.005808
[1394/5000][345/535][143864] Loss_D: -0.018870 Loss_G: 0.018404 Loss_D_real: -0.035825 Loss_D_fake -0.016955
[1394/5000][350/535][143865] Loss_D: -0.020867 Loss_G: 0.004865 Loss_D_real: -0.020012 Loss_D_fake 0.000855
[1394/5000][355/535][143866] Loss_D: -0.020630 Loss_G: 0.010176 Loss_D_real: -0.024966 Loss_D_fake -0.004337
[1394/5000][360/535][143867] Loss_D: -0.020540 Loss_G: 0.015526 Loss_D_real: -0.029802 Loss_D_fake -0.009262
[1394/5000][365/535][143868] Loss_D: -0.021120 Loss_G: 0.010176 Loss_D_real: -0.015349 Loss_D_fake 0.005772
[1394/5000][370/535][143869] Loss_D: -0.019497 Loss_G: -0.014428 Loss_D_real: -0.013496 Loss_D_fake 0.006002
[1394/5000][375/535][143870] Loss_D: -0.019998 Loss_G: -0.009161 Loss_D_real: -0.003720 Loss_D_fake 0.016278
[1394/5000][380/535][143871] Loss_D: -0.019988 Loss_G: 0.023904 Loss_D_real: -0.029660 Loss_D_fake -0.009672
[1394/5000][385/535][143872] Loss_D: -0.019603 Loss_G: 0.009526 Loss_D_real: -0.026723 Loss_D_fake -0.007120
[1394/5000][390/535][143873] Loss_D: -0.019899 Loss_G: 0.003011 Loss_D_real: -0.015562 Loss_D_fake 0.004337
[1394/5000][395/535][143874] Loss_D: -0.020423 Loss_G: 0.023340 Loss_D_real: -0.021138 Loss_D_fake -0.000715
[1394/5000][400/535][143875] Loss_D: -0.020701 Loss_G: -0.016785 Loss_D_real: -0.009048 Loss_D_fake 0.011653
[1394/5000][405/535][143876] Loss_D: -0.020010 Loss_G: 0.003139 Loss_D_real: -0.012345 Loss_D_fake 0.007665
[1394/5000][410/535][143877] Loss_D: -0.020000 Loss_G: 0.002751 Loss_D_real: -0.010255 Loss_D_fake 0.009745
[1394/5000][415/535][143878] Loss_D: -0.019969 Loss_G: 0.026564 Loss_D_real: -0.020904 Loss_D_fake -0.000935
[1394/5000][420/535][143879] Loss_D: -0.019573 Loss_G: 0.010134 Loss_D_real: -0.021435 Loss_D_fake -0.001862
[1394/5000][425/535][143880] Loss_D: -0.019864 Loss_G: 0.010930 Loss_D_real: -0.005956 Loss_D_fake 0.013908
[1394/5000][430/535][143881] Loss_D: -0.020289 Loss_G: 0.003979 Loss_D_real: -0.014896 Loss_D_fake 0.005394
[1394/5000][435/535][143882] Loss_D: -0.020781 Loss_G: 0.008500 Loss_D_real: -0.027901 Loss_D_fake -0.007120
[1394/5000][440/535][143883] Loss_D: -0.021255 Loss_G: -0.005213 Loss_D_real: -0.011041 Loss_D_fake 0.010214
[1394/5000][445/535][143884] Loss_D: -0.020566 Loss_G: 0.016517 Loss_D_real: -0.013327 Loss_D_fake 0.007238
[1394/5000][450/535][143885] Loss_D: -0.020307 Loss_G: 0.013816 Loss_D_real: -0.025666 Loss_D_fake -0.005359
[1394/5000][455/535][143886] Loss_D: -0.019139 Loss_G: 0.025896 Loss_D_real: -0.022460 Loss_D_fake -0.003320
[1394/5000][460/535][143887] Loss_D: -0.020769 Loss_G: 0.016616 Loss_D_real: -0.023422 Loss_D_fake -0.002653
[1394/5000][465/535][143888] Loss_D: -0.018527 Loss_G: -0.000535 Loss_D_real: -0.008065 Loss_D_fake 0.010462
[1394/5000][470/535][143889] Loss_D: -0.019582 Loss_G: 0.005865 Loss_D_real: -0.016074 Loss_D_fake 0.003508
[1394/5000][475/535][143890] Loss_D: -0.021175 Loss_G: -0.007340 Loss_D_real: -0.007328 Loss_D_fake 0.013847
[1394/5000][480/535][143891] Loss_D: -0.021257 Loss_G: 0.003102 Loss_D_real: -0.003729 Loss_D_fake 0.017528
[1394/5000][485/535][143892] Loss_D: -0.020507 Loss_G: 0.021619 Loss_D_real: -0.015271 Loss_D_fake 0.005235
[1394/5000][490/535][143893] Loss_D: -0.020302 Loss_G: -0.017503 Loss_D_real: -0.004063 Loss_D_fake 0.016238
[1394/5000][495/535][143894] Loss_D: -0.018710 Loss_G: 0.009234 Loss_D_real: -0.004679 Loss_D_fake 0.014031
[1394/5000][500/535][143895] Loss_D: -0.019488 Loss_G: -0.010185 Loss_D_real: -0.012691 Loss_D_fake 0.006796
[1394/5000][505/535][143896] Loss_D: -0.019516 Loss_G: -0.006080 Loss_D_real: -0.006177 Loss_D_fake 0.013339
[1394/5000][510/535][143897] Loss_D: -0.020032 Loss_G: 0.006189 Loss_D_real: -0.017478 Loss_D_fake 0.002554
[1394/5000][515/535][143898] Loss_D: -0.020123 Loss_G: 0.006441 Loss_D_real: -0.002878 Loss_D_fake 0.017246
[1394/5000][520/535][143899] Loss_D: -0.018600 Loss_G: 0.012431 Loss_D_real: -0.032252 Loss_D_fake -0.013652
[1394/5000][525/535][143900] Loss_D: -0.018871 Loss_G: 0.010873 Loss_D_real: -0.013287 Loss_D_fake 0.005584
[1394/5000][530/535][143901] Loss_D: -0.019367 Loss_G: 0.014424 Loss_D_real: -0.030303 Loss_D_fake -0.010936
[1394/5000][535/535][143902] Loss_D: -0.015867 Loss_G: -0.035245 Loss_D_real: 0.003861 Loss_D_fake 0.019728
[1395/5000][5/535][143903] Loss_D: -0.021087 Loss_G: 0.006202 Loss_D_real: -0.009918 Loss_D_fake 0.011169
[1395/5000][10/535][143904] Loss_D: -0.019093 Loss_G: 0.010204 Loss_D_real: -0.016292 Loss_D_fake 0.002800
[1395/5000][15/535][143905] Loss_D: -0.018972 Loss_G: -0.011404 Loss_D_real: 0.001500 Loss_D_fake 0.020472
[1395/5000][20/535][143906] Loss_D: -0.019376 Loss_G: -0.000404 Loss_D_real: 0.001873 Loss_D_fake 0.021249
[1395/5000][25/535][143907] Loss_D: -0.020065 Loss_G: 0.011037 Loss_D_real: -0.016609 Loss_D_fake 0.003456
[1395/5000][30/535][143908] Loss_D: -0.020325 Loss_G: 0.016530 Loss_D_real: -0.026056 Loss_D_fake -0.005731
[1395/5000][35/535][143909] Loss_D: -0.021444 Loss_G: 0.032848 Loss_D_real: -0.025102 Loss_D_fake -0.003658
[1395/5000][40/535][143910] Loss_D: -0.019283 Loss_G: 0.007402 Loss_D_real: -0.008439 Loss_D_fake 0.010844
[1395/5000][45/535][143911] Loss_D: -0.019682 Loss_G: 0.010492 Loss_D_real: -0.017630 Loss_D_fake 0.002052
[1395/5000][50/535][143912] Loss_D: -0.020765 Loss_G: -0.010875 Loss_D_real: -0.013637 Loss_D_fake 0.007128
[1395/5000][55/535][143913] Loss_D: -0.020933 Loss_G: 0.003938 Loss_D_real: 0.006253 Loss_D_fake 0.027186
[1395/5000][60/535][143914] Loss_D: -0.020819 Loss_G: 0.010722 Loss_D_real: -0.020394 Loss_D_fake 0.000425
[1395/5000][65/535][143915] Loss_D: -0.019908 Loss_G: 0.023000 Loss_D_real: -0.027290 Loss_D_fake -0.007382
[1395/5000][70/535][143916] Loss_D: -0.019768 Loss_G: 0.012344 Loss_D_real: -0.016621 Loss_D_fake 0.003147
[1395/5000][75/535][143917] Loss_D: -0.019234 Loss_G: 0.019927 Loss_D_real: -0.029189 Loss_D_fake -0.009955
[1395/5000][80/535][143918] Loss_D: -0.021311 Loss_G: -0.009952 Loss_D_real: -0.011138 Loss_D_fake 0.010172
[1395/5000][85/535][143919] Loss_D: -0.019985 Loss_G: 0.007445 Loss_D_real: -0.012820 Loss_D_fake 0.007166
[1395/5000][90/535][143920] Loss_D: -0.019772 Loss_G: 0.004356 Loss_D_real: -0.016449 Loss_D_fake 0.003324
[1395/5000][95/535][143921] Loss_D: -0.020026 Loss_G: 0.018182 Loss_D_real: -0.027855 Loss_D_fake -0.007829
[1395/5000][100/535][143922] Loss_D: -0.019870 Loss_G: 0.001171 Loss_D_real: -0.012529 Loss_D_fake 0.007341
[1395/5000][105/535][143923] Loss_D: -0.019415 Loss_G: -0.000831 Loss_D_real: -0.009261 Loss_D_fake 0.010154
[1395/5000][110/535][143924] Loss_D: -0.020300 Loss_G: 0.000916 Loss_D_real: -0.015940 Loss_D_fake 0.004360
[1395/5000][115/535][143925] Loss_D: -0.020449 Loss_G: 0.014853 Loss_D_real: -0.024862 Loss_D_fake -0.004414
[1395/5000][120/535][143926] Loss_D: -0.021294 Loss_G: 0.016345 Loss_D_real: -0.018379 Loss_D_fake 0.002916
[1395/5000][125/535][143927] Loss_D: -0.020791 Loss_G: 0.014252 Loss_D_real: -0.021340 Loss_D_fake -0.000549
[1395/5000][130/535][143928] Loss_D: -0.020963 Loss_G: 0.000624 Loss_D_real: -0.010732 Loss_D_fake 0.010231
[1395/5000][135/535][143929] Loss_D: -0.020340 Loss_G: -0.008522 Loss_D_real: -0.003353 Loss_D_fake 0.016987
[1395/5000][140/535][143930] Loss_D: -0.019593 Loss_G: 0.033935 Loss_D_real: -0.028416 Loss_D_fake -0.008823
[1395/5000][145/535][143931] Loss_D: -0.020248 Loss_G: -0.002191 Loss_D_real: -0.017705 Loss_D_fake 0.002543
[1395/5000][150/535][143932] Loss_D: -0.019058 Loss_G: 0.008432 Loss_D_real: -0.016211 Loss_D_fake 0.002847
[1395/5000][155/535][143933] Loss_D: -0.019933 Loss_G: -0.002186 Loss_D_real: -0.005632 Loss_D_fake 0.014301
[1395/5000][160/535][143934] Loss_D: -0.021357 Loss_G: 0.018432 Loss_D_real: -0.022673 Loss_D_fake -0.001316
[1395/5000][165/535][143935] Loss_D: -0.020484 Loss_G: 0.018907 Loss_D_real: -0.017844 Loss_D_fake 0.002640
[1395/5000][170/535][143936] Loss_D: -0.020180 Loss_G: 0.018112 Loss_D_real: -0.022289 Loss_D_fake -0.002109
[1395/5000][175/535][143937] Loss_D: -0.021042 Loss_G: 0.015834 Loss_D_real: -0.022896 Loss_D_fake -0.001853
[1395/5000][180/535][143938] Loss_D: -0.018782 Loss_G: 0.022348 Loss_D_real: -0.041935 Loss_D_fake -0.023153
[1395/5000][185/535][143939] Loss_D: -0.019560 Loss_G: -0.002206 Loss_D_real: -0.017753 Loss_D_fake 0.001808
[1395/5000][190/535][143940] Loss_D: -0.020275 Loss_G: 0.018298 Loss_D_real: -0.023897 Loss_D_fake -0.003621
[1395/5000][195/535][143941] Loss_D: -0.019831 Loss_G: 0.003536 Loss_D_real: -0.013445 Loss_D_fake 0.006385
[1395/5000][200/535][143942] Loss_D: -0.020810 Loss_G: 0.014234 Loss_D_real: -0.018167 Loss_D_fake 0.002643
[1395/5000][205/535][143943] Loss_D: -0.020386 Loss_G: 0.008037 Loss_D_real: -0.021043 Loss_D_fake -0.000657
[1395/5000][210/535][143944] Loss_D: -0.021517 Loss_G: 0.007664 Loss_D_real: -0.020701 Loss_D_fake 0.000816
[1395/5000][215/535][143945] Loss_D: -0.018158 Loss_G: 0.019574 Loss_D_real: -0.032385 Loss_D_fake -0.014227
[1395/5000][220/535][143946] Loss_D: -0.020630 Loss_G: 0.002822 Loss_D_real: -0.019619 Loss_D_fake 0.001011
[1395/5000][225/535][143947] Loss_D: -0.020273 Loss_G: -0.011787 Loss_D_real: -0.015766 Loss_D_fake 0.004507
[1395/5000][230/535][143948] Loss_D: -0.019422 Loss_G: 0.010179 Loss_D_real: -0.017939 Loss_D_fake 0.001484
[1395/5000][235/535][143949] Loss_D: -0.019775 Loss_G: -0.003915 Loss_D_real: 0.001588 Loss_D_fake 0.021362
[1395/5000][240/535][143950] Loss_D: -0.019134 Loss_G: 0.027137 Loss_D_real: -0.025645 Loss_D_fake -0.006511
[1395/5000][245/535][143951] Loss_D: -0.021409 Loss_G: 0.000415 Loss_D_real: -0.020940 Loss_D_fake 0.000469
[1395/5000][250/535][143952] Loss_D: -0.019810 Loss_G: 0.006535 Loss_D_real: -0.014401 Loss_D_fake 0.005409
[1395/5000][255/535][143953] Loss_D: -0.018313 Loss_G: 0.009297 Loss_D_real: -0.028299 Loss_D_fake -0.009987
[1395/5000][260/535][143954] Loss_D: -0.019353 Loss_G: -0.015942 Loss_D_real: -0.010249 Loss_D_fake 0.009104
[1395/5000][265/535][143955] Loss_D: -0.020105 Loss_G: -0.000226 Loss_D_real: -0.005423 Loss_D_fake 0.014682
[1395/5000][270/535][143956] Loss_D: -0.020921 Loss_G: 0.006903 Loss_D_real: -0.008217 Loss_D_fake 0.012704
[1395/5000][275/535][143957] Loss_D: -0.022561 Loss_G: 0.020715 Loss_D_real: -0.016572 Loss_D_fake 0.005989
[1395/5000][280/535][143958] Loss_D: -0.019511 Loss_G: 0.016879 Loss_D_real: -0.031940 Loss_D_fake -0.012428
[1395/5000][285/535][143959] Loss_D: -0.020422 Loss_G: 0.020868 Loss_D_real: -0.014017 Loss_D_fake 0.006406
[1395/5000][290/535][143960] Loss_D: -0.020830 Loss_G: 0.007648 Loss_D_real: -0.033354 Loss_D_fake -0.012524
[1395/5000][295/535][143961] Loss_D: -0.020004 Loss_G: 0.012787 Loss_D_real: -0.021969 Loss_D_fake -0.001965
[1395/5000][300/535][143962] Loss_D: -0.019705 Loss_G: 0.005735 Loss_D_real: -0.012306 Loss_D_fake 0.007399
[1395/5000][305/535][143963] Loss_D: -0.020647 Loss_G: -0.001338 Loss_D_real: -0.020664 Loss_D_fake -0.000017
[1395/5000][310/535][143964] Loss_D: -0.019031 Loss_G: 0.023659 Loss_D_real: -0.021135 Loss_D_fake -0.002103
[1395/5000][315/535][143965] Loss_D: -0.019623 Loss_G: -0.001550 Loss_D_real: -0.014751 Loss_D_fake 0.004872
[1395/5000][320/535][143966] Loss_D: -0.018340 Loss_G: -0.005394 Loss_D_real: -0.000670 Loss_D_fake 0.017671
[1395/5000][325/535][143967] Loss_D: -0.019467 Loss_G: 0.000296 Loss_D_real: -0.009542 Loss_D_fake 0.009926
[1395/5000][330/535][143968] Loss_D: -0.019087 Loss_G: 0.019354 Loss_D_real: -0.023090 Loss_D_fake -0.004004
[1395/5000][335/535][143969] Loss_D: -0.019057 Loss_G: -0.006570 Loss_D_real: -0.005178 Loss_D_fake 0.013879
[1395/5000][340/535][143970] Loss_D: -0.020217 Loss_G: 0.017160 Loss_D_real: -0.017330 Loss_D_fake 0.002887
[1395/5000][345/535][143971] Loss_D: -0.020628 Loss_G: 0.017817 Loss_D_real: -0.003822 Loss_D_fake 0.016806
[1395/5000][350/535][143972] Loss_D: -0.020493 Loss_G: 0.016902 Loss_D_real: -0.031299 Loss_D_fake -0.010806
[1395/5000][355/535][143973] Loss_D: -0.019607 Loss_G: 0.007587 Loss_D_real: -0.024999 Loss_D_fake -0.005393
[1395/5000][360/535][143974] Loss_D: -0.021247 Loss_G: -0.003595 Loss_D_real: -0.012402 Loss_D_fake 0.008845
[1395/5000][365/535][143975] Loss_D: -0.019541 Loss_G: 0.010340 Loss_D_real: -0.016694 Loss_D_fake 0.002847
[1395/5000][370/535][143976] Loss_D: -0.020380 Loss_G: 0.014585 Loss_D_real: -0.025795 Loss_D_fake -0.005415
[1395/5000][375/535][143977] Loss_D: -0.019917 Loss_G: 0.021999 Loss_D_real: -0.023862 Loss_D_fake -0.003945
[1395/5000][380/535][143978] Loss_D: -0.020235 Loss_G: -0.000628 Loss_D_real: -0.017222 Loss_D_fake 0.003013
[1395/5000][385/535][143979] Loss_D: -0.020112 Loss_G: 0.026764 Loss_D_real: -0.024814 Loss_D_fake -0.004702
[1395/5000][390/535][143980] Loss_D: -0.019412 Loss_G: -0.005556 Loss_D_real: -0.009884 Loss_D_fake 0.009528
[1395/5000][395/535][143981] Loss_D: -0.019479 Loss_G: 0.020066 Loss_D_real: -0.025221 Loss_D_fake -0.005741
[1395/5000][400/535][143982] Loss_D: -0.020559 Loss_G: 0.013854 Loss_D_real: -0.023043 Loss_D_fake -0.002483
[1395/5000][405/535][143983] Loss_D: -0.019344 Loss_G: 0.027351 Loss_D_real: -0.020978 Loss_D_fake -0.001634
[1395/5000][410/535][143984] Loss_D: -0.019775 Loss_G: 0.011441 Loss_D_real: -0.011871 Loss_D_fake 0.007904
[1395/5000][415/535][143985] Loss_D: -0.018886 Loss_G: -0.005176 Loss_D_real: 0.000795 Loss_D_fake 0.019681
[1395/5000][420/535][143986] Loss_D: -0.019560 Loss_G: 0.016013 Loss_D_real: -0.021473 Loss_D_fake -0.001912
[1395/5000][425/535][143987] Loss_D: -0.020608 Loss_G: 0.003465 Loss_D_real: -0.018513 Loss_D_fake 0.002094
[1395/5000][430/535][143988] Loss_D: -0.019362 Loss_G: 0.025285 Loss_D_real: -0.017088 Loss_D_fake 0.002275
[1395/5000][435/535][143989] Loss_D: -0.020387 Loss_G: 0.008327 Loss_D_real: -0.021730 Loss_D_fake -0.001343
[1395/5000][440/535][143990] Loss_D: -0.019922 Loss_G: -0.009604 Loss_D_real: -0.015876 Loss_D_fake 0.004046
[1395/5000][445/535][143991] Loss_D: -0.020507 Loss_G: -0.001070 Loss_D_real: -0.020427 Loss_D_fake 0.000081
[1395/5000][450/535][143992] Loss_D: -0.020400 Loss_G: 0.028259 Loss_D_real: -0.026681 Loss_D_fake -0.006281
[1395/5000][455/535][143993] Loss_D: -0.019871 Loss_G: 0.020453 Loss_D_real: -0.027560 Loss_D_fake -0.007689
[1395/5000][460/535][143994] Loss_D: -0.019079 Loss_G: -0.004390 Loss_D_real: -0.010158 Loss_D_fake 0.008921
[1395/5000][465/535][143995] Loss_D: -0.019494 Loss_G: 0.022706 Loss_D_real: -0.034729 Loss_D_fake -0.015235
[1395/5000][470/535][143996] Loss_D: -0.019582 Loss_G: 0.014438 Loss_D_real: -0.018364 Loss_D_fake 0.001219
[1395/5000][475/535][143997] Loss_D: -0.020650 Loss_G: 0.024177 Loss_D_real: -0.028883 Loss_D_fake -0.008233
[1395/5000][480/535][143998] Loss_D: -0.020639 Loss_G: -0.004469 Loss_D_real: -0.013517 Loss_D_fake 0.007122
[1395/5000][485/535][143999] Loss_D: -0.020594 Loss_G: -0.010624 Loss_D_real: -0.001276 Loss_D_fake 0.019318
[1395/5000][490/535][144000] Loss_D: -0.019698 Loss_G: -0.002476 Loss_D_real: -0.004651 Loss_D_fake 0.015047
[1395/5000][535/535][144001] Loss_D: -0.021612 Loss_G: 0.031015 Loss_D_real: -0.030336 Loss_D_fake -0.008724
[1396/5000][5/535][144002] Loss_D: -0.020191 Loss_G: 0.013964 Loss_D_real: -0.018422 Loss_D_fake 0.001769
[1396/5000][10/535][144003] Loss_D: -0.019965 Loss_G: 0.019928 Loss_D_real: -0.020936 Loss_D_fake -0.000971
[1396/5000][15/535][144004] Loss_D: -0.018723 Loss_G: 0.003474 Loss_D_real: -0.003982 Loss_D_fake 0.014741
[1396/5000][20/535][144005] Loss_D: -0.019269 Loss_G: 0.000805 Loss_D_real: -0.015116 Loss_D_fake 0.004153
[1396/5000][25/535][144006] Loss_D: -0.018424 Loss_G: -0.008528 Loss_D_real: -0.015059 Loss_D_fake 0.003365
[1396/5000][30/535][144007] Loss_D: -0.019921 Loss_G: 0.018289 Loss_D_real: -0.026076 Loss_D_fake -0.006156
[1396/5000][35/535][144008] Loss_D: -0.020487 Loss_G: 0.000710 Loss_D_real: -0.014913 Loss_D_fake 0.005574
[1396/5000][40/535][144009] Loss_D: -0.020526 Loss_G: 0.001372 Loss_D_real: -0.016967 Loss_D_fake 0.003560
[1396/5000][45/535][144010] Loss_D: -0.021090 Loss_G: 0.013281 Loss_D_real: -0.025733 Loss_D_fake -0.004644
[1396/5000][50/535][144011] Loss_D: -0.018992 Loss_G: 0.008602 Loss_D_real: -0.023079 Loss_D_fake -0.004087
[1396/5000][55/535][144012] Loss_D: -0.020021 Loss_G: 0.003907 Loss_D_real: -0.004192 Loss_D_fake 0.015829
[1396/5000][60/535][144013] Loss_D: -0.018720 Loss_G: 0.018994 Loss_D_real: -0.025228 Loss_D_fake -0.006509
[1396/5000][65/535][144014] Loss_D: -0.019121 Loss_G: -0.010271 Loss_D_real: -0.011194 Loss_D_fake 0.007926
[1396/5000][70/535][144015] Loss_D: -0.019756 Loss_G: 0.013161 Loss_D_real: -0.023553 Loss_D_fake -0.003797
[1396/5000][75/535][144016] Loss_D: -0.019097 Loss_G: 0.029622 Loss_D_real: -0.025401 Loss_D_fake -0.006305
[1396/5000][80/535][144017] Loss_D: -0.016590 Loss_G: 0.018873 Loss_D_real: -0.038499 Loss_D_fake -0.021909
[1396/5000][85/535][144018] Loss_D: -0.019902 Loss_G: 0.002146 Loss_D_real: -0.022491 Loss_D_fake -0.002589
[1396/5000][90/535][144019] Loss_D: -0.020194 Loss_G: 0.014923 Loss_D_real: -0.018579 Loss_D_fake 0.001615
[1396/5000][95/535][144020] Loss_D: -0.019455 Loss_G: 0.004473 Loss_D_real: -0.021506 Loss_D_fake -0.002051
[1396/5000][100/535][144021] Loss_D: -0.019015 Loss_G: 0.023859 Loss_D_real: -0.025774 Loss_D_fake -0.006760
[1396/5000][105/535][144022] Loss_D: -0.020095 Loss_G: -0.006863 Loss_D_real: -0.008706 Loss_D_fake 0.011389
[1396/5000][110/535][144023] Loss_D: -0.019273 Loss_G: 0.018217 Loss_D_real: -0.034196 Loss_D_fake -0.014923
[1396/5000][115/535][144024] Loss_D: -0.019836 Loss_G: 0.008557 Loss_D_real: -0.019145 Loss_D_fake 0.000691
[1396/5000][120/535][144025] Loss_D: -0.018981 Loss_G: 0.005467 Loss_D_real: -0.016953 Loss_D_fake 0.002028
[1396/5000][125/535][144026] Loss_D: -0.021670 Loss_G: -0.003739 Loss_D_real: -0.006265 Loss_D_fake 0.015405
[1396/5000][130/535][144027] Loss_D: -0.020377 Loss_G: 0.022022 Loss_D_real: -0.024450 Loss_D_fake -0.004073
[1396/5000][135/535][144028] Loss_D: -0.019835 Loss_G: -0.006339 Loss_D_real: -0.019679 Loss_D_fake 0.000156
[1396/5000][140/535][144029] Loss_D: -0.020850 Loss_G: -0.000757 Loss_D_real: -0.009086 Loss_D_fake 0.011763
[1396/5000][145/535][144030] Loss_D: -0.020787 Loss_G: 0.002034 Loss_D_real: -0.006436 Loss_D_fake 0.014352
[1396/5000][150/535][144031] Loss_D: -0.021077 Loss_G: 0.002245 Loss_D_real: -0.010926 Loss_D_fake 0.010150
[1396/5000][155/535][144032] Loss_D: -0.020253 Loss_G: -0.002731 Loss_D_real: -0.004171 Loss_D_fake 0.016081
[1396/5000][160/535][144033] Loss_D: -0.021529 Loss_G: 0.009879 Loss_D_real: -0.023868 Loss_D_fake -0.002339
[1396/5000][165/535][144034] Loss_D: -0.020186 Loss_G: 0.002426 Loss_D_real: -0.005712 Loss_D_fake 0.014474
[1396/5000][170/535][144035] Loss_D: -0.020414 Loss_G: 0.014045 Loss_D_real: -0.029053 Loss_D_fake -0.008639
[1396/5000][175/535][144036] Loss_D: -0.019582 Loss_G: 0.016083 Loss_D_real: -0.029684 Loss_D_fake -0.010102
[1396/5000][180/535][144037] Loss_D: -0.019160 Loss_G: 0.019184 Loss_D_real: -0.023225 Loss_D_fake -0.004066
[1396/5000][185/535][144038] Loss_D: -0.020063 Loss_G: 0.007133 Loss_D_real: -0.017670 Loss_D_fake 0.002393
[1396/5000][190/535][144039] Loss_D: -0.020918 Loss_G: 0.013540 Loss_D_real: -0.014542 Loss_D_fake 0.006376
[1396/5000][195/535][144040] Loss_D: -0.020551 Loss_G: -0.012172 Loss_D_real: -0.001095 Loss_D_fake 0.019455
[1396/5000][200/535][144041] Loss_D: -0.019916 Loss_G: 0.022949 Loss_D_real: -0.024096 Loss_D_fake -0.004180
[1396/5000][205/535][144042] Loss_D: -0.018518 Loss_G: 0.008736 Loss_D_real: -0.020311 Loss_D_fake -0.001792
[1396/5000][210/535][144043] Loss_D: -0.020865 Loss_G: 0.015937 Loss_D_real: -0.021287 Loss_D_fake -0.000423
[1396/5000][215/535][144044] Loss_D: -0.020414 Loss_G: 0.010886 Loss_D_real: -0.023117 Loss_D_fake -0.002702
[1396/5000][220/535][144045] Loss_D: -0.019126 Loss_G: 0.008592 Loss_D_real: -0.014315 Loss_D_fake 0.004811
[1396/5000][225/535][144046] Loss_D: -0.021159 Loss_G: 0.010086 Loss_D_real: -0.021100 Loss_D_fake 0.000058
[1396/5000][230/535][144047] Loss_D: -0.019417 Loss_G: 0.013546 Loss_D_real: -0.017530 Loss_D_fake 0.001887
[1396/5000][235/535][144048] Loss_D: -0.020160 Loss_G: -0.016044 Loss_D_real: 0.000946 Loss_D_fake 0.021106
[1396/5000][240/535][144049] Loss_D: -0.018001 Loss_G: -0.003343 Loss_D_real: -0.013034 Loss_D_fake 0.004967
[1396/5000][245/535][144050] Loss_D: -0.020520 Loss_G: 0.017188 Loss_D_real: -0.018209 Loss_D_fake 0.002311
[1396/5000][250/535][144051] Loss_D: -0.018153 Loss_G: 0.011893 Loss_D_real: -0.008691 Loss_D_fake 0.009461
[1396/5000][255/535][144052] Loss_D: -0.020385 Loss_G: 0.010724 Loss_D_real: -0.021428 Loss_D_fake -0.001043
[1396/5000][260/535][144053] Loss_D: -0.020431 Loss_G: 0.003500 Loss_D_real: -0.009079 Loss_D_fake 0.011353
[1396/5000][265/535][144054] Loss_D: -0.018827 Loss_G: 0.019010 Loss_D_real: -0.022762 Loss_D_fake -0.003935
[1396/5000][270/535][144055] Loss_D: -0.020448 Loss_G: 0.014519 Loss_D_real: -0.012275 Loss_D_fake 0.008173
[1396/5000][275/535][144056] Loss_D: -0.021016 Loss_G: 0.011629 Loss_D_real: -0.012420 Loss_D_fake 0.008596
[1396/5000][280/535][144057] Loss_D: -0.020236 Loss_G: -0.005733 Loss_D_real: -0.008419 Loss_D_fake 0.011818
[1396/5000][285/535][144058] Loss_D: -0.020009 Loss_G: 0.004516 Loss_D_real: -0.018248 Loss_D_fake 0.001761
[1396/5000][290/535][144059] Loss_D: -0.019808 Loss_G: -0.007062 Loss_D_real: -0.003331 Loss_D_fake 0.016477
[1396/5000][295/535][144060] Loss_D: -0.019628 Loss_G: 0.023892 Loss_D_real: -0.020707 Loss_D_fake -0.001079
[1396/5000][300/535][144061] Loss_D: -0.019620 Loss_G: -0.004101 Loss_D_real: -0.003693 Loss_D_fake 0.015926
[1396/5000][305/535][144062] Loss_D: -0.020820 Loss_G: 0.012707 Loss_D_real: -0.013750 Loss_D_fake 0.007071
[1396/5000][310/535][144063] Loss_D: -0.021113 Loss_G: 0.012013 Loss_D_real: -0.015872 Loss_D_fake 0.005241
[1396/5000][315/535][144064] Loss_D: -0.019718 Loss_G: 0.030063 Loss_D_real: -0.028407 Loss_D_fake -0.008688
[1396/5000][320/535][144065] Loss_D: -0.020210 Loss_G: 0.009544 Loss_D_real: -0.012252 Loss_D_fake 0.007958
[1396/5000][325/535][144066] Loss_D: -0.017900 Loss_G: 0.021650 Loss_D_real: -0.033164 Loss_D_fake -0.015264
[1396/5000][330/535][144067] Loss_D: -0.020384 Loss_G: 0.009116 Loss_D_real: -0.013591 Loss_D_fake 0.006793
[1396/5000][335/535][144068] Loss_D: -0.020655 Loss_G: 0.001189 Loss_D_real: -0.017579 Loss_D_fake 0.003076
[1396/5000][340/535][144069] Loss_D: -0.020956 Loss_G: 0.023904 Loss_D_real: -0.020614 Loss_D_fake 0.000342
[1396/5000][345/535][144070] Loss_D: -0.018556 Loss_G: -0.007582 Loss_D_real: -0.007903 Loss_D_fake 0.010653
[1396/5000][350/535][144071] Loss_D: -0.018053 Loss_G: 0.029878 Loss_D_real: -0.035379 Loss_D_fake -0.017325
[1396/5000][355/535][144072] Loss_D: -0.019073 Loss_G: -0.002760 Loss_D_real: -0.002509 Loss_D_fake 0.016564
[1396/5000][360/535][144073] Loss_D: -0.018738 Loss_G: 0.025777 Loss_D_real: -0.034497 Loss_D_fake -0.015758
[1396/5000][365/535][144074] Loss_D: -0.018574 Loss_G: 0.020726 Loss_D_real: -0.027374 Loss_D_fake -0.008800
[1396/5000][370/535][144075] Loss_D: -0.020924 Loss_G: -0.005552 Loss_D_real: -0.009273 Loss_D_fake 0.011652
[1396/5000][375/535][144076] Loss_D: -0.018257 Loss_G: 0.017980 Loss_D_real: -0.029508 Loss_D_fake -0.011250
[1396/5000][380/535][144077] Loss_D: -0.019597 Loss_G: -0.016322 Loss_D_real: -0.001013 Loss_D_fake 0.018584
[1396/5000][385/535][144078] Loss_D: -0.018447 Loss_G: 0.024868 Loss_D_real: -0.028299 Loss_D_fake -0.009852
[1396/5000][390/535][144079] Loss_D: -0.020854 Loss_G: 0.008768 Loss_D_real: -0.024325 Loss_D_fake -0.003472
[1396/5000][395/535][144080] Loss_D: -0.021458 Loss_G: 0.004027 Loss_D_real: -0.004683 Loss_D_fake 0.016775
[1396/5000][400/535][144081] Loss_D: -0.018372 Loss_G: 0.018418 Loss_D_real: -0.042140 Loss_D_fake -0.023768
[1396/5000][405/535][144082] Loss_D: -0.019482 Loss_G: 0.000610 Loss_D_real: -0.018432 Loss_D_fake 0.001050
[1396/5000][410/535][144083] Loss_D: -0.019282 Loss_G: 0.007094 Loss_D_real: -0.013891 Loss_D_fake 0.005391
[1396/5000][415/535][144084] Loss_D: -0.021288 Loss_G: 0.014702 Loss_D_real: -0.020091 Loss_D_fake 0.001196
[1396/5000][420/535][144085] Loss_D: -0.019007 Loss_G: -0.013058 Loss_D_real: -0.000765 Loss_D_fake 0.018243
[1396/5000][425/535][144086] Loss_D: -0.020758 Loss_G: 0.003865 Loss_D_real: -0.013659 Loss_D_fake 0.007099
[1396/5000][430/535][144087] Loss_D: -0.020409 Loss_G: 0.018836 Loss_D_real: -0.015153 Loss_D_fake 0.005256
[1396/5000][435/535][144088] Loss_D: -0.019618 Loss_G: 0.007606 Loss_D_real: -0.024662 Loss_D_fake -0.005044
[1396/5000][440/535][144089] Loss_D: -0.018633 Loss_G: 0.028538 Loss_D_real: -0.027360 Loss_D_fake -0.008727
[1396/5000][445/535][144090] Loss_D: -0.021484 Loss_G: 0.004181 Loss_D_real: -0.018815 Loss_D_fake 0.002669
[1396/5000][450/535][144091] Loss_D: -0.018170 Loss_G: 0.011294 Loss_D_real: -0.015233 Loss_D_fake 0.002937
[1396/5000][455/535][144092] Loss_D: -0.020653 Loss_G: -0.008568 Loss_D_real: -0.000087 Loss_D_fake 0.020566
[1396/5000][460/535][144093] Loss_D: -0.019693 Loss_G: -0.000271 Loss_D_real: -0.014769 Loss_D_fake 0.004924
[1396/5000][465/535][144094] Loss_D: -0.021065 Loss_G: 0.004930 Loss_D_real: -0.016013 Loss_D_fake 0.005053
[1396/5000][470/535][144095] Loss_D: -0.020347 Loss_G: 0.014684 Loss_D_real: -0.022744 Loss_D_fake -0.002397
[1396/5000][475/535][144096] Loss_D: -0.019566 Loss_G: 0.018406 Loss_D_real: -0.030292 Loss_D_fake -0.010727
[1396/5000][480/535][144097] Loss_D: -0.019610 Loss_G: 0.032780 Loss_D_real: -0.024304 Loss_D_fake -0.004694
[1396/5000][485/535][144098] Loss_D: -0.021082 Loss_G: 0.017389 Loss_D_real: -0.029300 Loss_D_fake -0.008218
[1396/5000][490/535][144099] Loss_D: -0.019784 Loss_G: 0.008760 Loss_D_real: -0.024617 Loss_D_fake -0.004832
[1396/5000][495/535][144100] Loss_D: -0.020554 Loss_G: -0.008637 Loss_D_real: -0.014742 Loss_D_fake 0.005812
[1396/5000][500/535][144101] Loss_D: -0.019738 Loss_G: 0.016501 Loss_D_real: -0.029260 Loss_D_fake -0.009522
[1396/5000][505/535][144102] Loss_D: -0.019992 Loss_G: -0.003602 Loss_D_real: -0.020059 Loss_D_fake -0.000066
[1396/5000][510/535][144103] Loss_D: -0.020776 Loss_G: -0.004099 Loss_D_real: -0.003066 Loss_D_fake 0.017711
[1396/5000][515/535][144104] Loss_D: -0.016734 Loss_G: 0.028462 Loss_D_real: -0.034214 Loss_D_fake -0.017481
[1396/5000][520/535][144105] Loss_D: -0.018631 Loss_G: -0.004244 Loss_D_real: -0.014927 Loss_D_fake 0.003704
[1396/5000][525/535][144106] Loss_D: -0.019483 Loss_G: 0.022001 Loss_D_real: -0.019166 Loss_D_fake 0.000317
[1396/5000][530/535][144107] Loss_D: -0.021201 Loss_G: 0.001526 Loss_D_real: -0.000851 Loss_D_fake 0.020349
[1396/5000][535/535][144108] Loss_D: -0.020435 Loss_G: 0.013019 Loss_D_real: -0.011599 Loss_D_fake 0.008836
[1397/5000][5/535][144109] Loss_D: -0.020251 Loss_G: -0.001531 Loss_D_real: -0.000942 Loss_D_fake 0.019308
[1397/5000][10/535][144110] Loss_D: -0.020151 Loss_G: 0.016442 Loss_D_real: -0.024817 Loss_D_fake -0.004666
[1397/5000][15/535][144111] Loss_D: -0.019658 Loss_G: 0.005154 Loss_D_real: -0.014990 Loss_D_fake 0.004668
[1397/5000][20/535][144112] Loss_D: -0.016919 Loss_G: 0.033708 Loss_D_real: -0.033287 Loss_D_fake -0.016368
[1397/5000][25/535][144113] Loss_D: -0.019836 Loss_G: 0.012514 Loss_D_real: -0.015224 Loss_D_fake 0.004612
[1397/5000][30/535][144114] Loss_D: -0.019774 Loss_G: 0.003366 Loss_D_real: -0.007452 Loss_D_fake 0.012321
[1397/5000][35/535][144115] Loss_D: -0.019321 Loss_G: 0.000627 Loss_D_real: -0.014830 Loss_D_fake 0.004490
[1397/5000][40/535][144116] Loss_D: -0.021002 Loss_G: 0.003594 Loss_D_real: -0.009190 Loss_D_fake 0.011813
[1397/5000][45/535][144117] Loss_D: -0.021364 Loss_G: 0.008127 Loss_D_real: -0.023715 Loss_D_fake -0.002351
[1397/5000][50/535][144118] Loss_D: -0.018093 Loss_G: 0.011056 Loss_D_real: -0.016710 Loss_D_fake 0.001383
[1397/5000][55/535][144119] Loss_D: -0.019151 Loss_G: 0.025096 Loss_D_real: -0.016607 Loss_D_fake 0.002544
[1397/5000][60/535][144120] Loss_D: -0.020496 Loss_G: -0.014390 Loss_D_real: -0.005623 Loss_D_fake 0.014873
[1397/5000][65/535][144121] Loss_D: -0.019511 Loss_G: 0.003013 Loss_D_real: -0.012985 Loss_D_fake 0.006526
[1397/5000][70/535][144122] Loss_D: -0.019911 Loss_G: 0.011309 Loss_D_real: -0.008446 Loss_D_fake 0.011466
[1397/5000][75/535][144123] Loss_D: -0.018419 Loss_G: -0.010507 Loss_D_real: 0.002626 Loss_D_fake 0.021045
[1397/5000][80/535][144124] Loss_D: -0.020689 Loss_G: 0.004498 Loss_D_real: -0.006318 Loss_D_fake 0.014371
[1397/5000][85/535][144125] Loss_D: -0.020994 Loss_G: 0.003876 Loss_D_real: -0.019573 Loss_D_fake 0.001421
[1397/5000][90/535][144126] Loss_D: -0.020216 Loss_G: 0.010078 Loss_D_real: -0.014236 Loss_D_fake 0.005981
[1397/5000][95/535][144127] Loss_D: -0.022448 Loss_G: 0.024321 Loss_D_real: -0.007220 Loss_D_fake 0.015228
[1397/5000][100/535][144128] Loss_D: -0.020313 Loss_G: 0.017945 Loss_D_real: -0.018103 Loss_D_fake 0.002209
[1397/5000][105/535][144129] Loss_D: -0.018995 Loss_G: -0.006318 Loss_D_real: 0.003284 Loss_D_fake 0.022279
[1397/5000][110/535][144130] Loss_D: -0.019052 Loss_G: 0.012841 Loss_D_real: -0.015455 Loss_D_fake 0.003597
[1397/5000][115/535][144131] Loss_D: -0.019254 Loss_G: -0.000411 Loss_D_real: -0.008960 Loss_D_fake 0.010294
[1397/5000][120/535][144132] Loss_D: -0.020071 Loss_G: 0.002155 Loss_D_real: -0.015161 Loss_D_fake 0.004909
[1397/5000][125/535][144133] Loss_D: -0.019832 Loss_G: 0.009046 Loss_D_real: -0.020457 Loss_D_fake -0.000625
[1397/5000][130/535][144134] Loss_D: -0.019310 Loss_G: -0.008340 Loss_D_real: 0.005077 Loss_D_fake 0.024387
[1397/5000][135/535][144135] Loss_D: -0.020722 Loss_G: 0.012902 Loss_D_real: -0.004378 Loss_D_fake 0.016344
[1397/5000][140/535][144136] Loss_D: -0.019771 Loss_G: 0.002566 Loss_D_real: -0.027783 Loss_D_fake -0.008012
[1397/5000][145/535][144137] Loss_D: -0.019182 Loss_G: 0.022987 Loss_D_real: -0.030766 Loss_D_fake -0.011584
[1397/5000][150/535][144138] Loss_D: -0.018386 Loss_G: 0.014210 Loss_D_real: -0.018224 Loss_D_fake 0.000162
[1397/5000][155/535][144139] Loss_D: -0.018770 Loss_G: -0.007958 Loss_D_real: 0.006285 Loss_D_fake 0.025055
[1397/5000][160/535][144140] Loss_D: -0.017078 Loss_G: 0.035085 Loss_D_real: -0.031372 Loss_D_fake -0.014294
[1397/5000][165/535][144141] Loss_D: -0.019879 Loss_G: -0.001613 Loss_D_real: -0.002583 Loss_D_fake 0.017296
[1397/5000][170/535][144142] Loss_D: -0.019936 Loss_G: -0.000150 Loss_D_real: -0.010164 Loss_D_fake 0.009772
[1397/5000][175/535][144143] Loss_D: -0.020819 Loss_G: 0.007636 Loss_D_real: -0.011547 Loss_D_fake 0.009272
[1397/5000][180/535][144144] Loss_D: -0.019541 Loss_G: 0.002256 Loss_D_real: -0.017916 Loss_D_fake 0.001625
[1397/5000][185/535][144145] Loss_D: -0.019226 Loss_G: -0.008430 Loss_D_real: -0.010177 Loss_D_fake 0.009048
[1397/5000][190/535][144146] Loss_D: -0.018846 Loss_G: 0.000504 Loss_D_real: -0.019457 Loss_D_fake -0.000611
[1397/5000][195/535][144147] Loss_D: -0.020000 Loss_G: 0.010903 Loss_D_real: -0.008411 Loss_D_fake 0.011589
[1397/5000][200/535][144148] Loss_D: -0.019379 Loss_G: 0.005768 Loss_D_real: -0.016333 Loss_D_fake 0.003046
[1397/5000][205/535][144149] Loss_D: -0.020404 Loss_G: 0.008571 Loss_D_real: -0.013645 Loss_D_fake 0.006759
[1397/5000][210/535][144150] Loss_D: -0.019784 Loss_G: 0.020779 Loss_D_real: -0.022434 Loss_D_fake -0.002650
[1397/5000][215/535][144151] Loss_D: -0.020342 Loss_G: 0.001062 Loss_D_real: -0.005943 Loss_D_fake 0.014399
[1397/5000][220/535][144152] Loss_D: -0.019810 Loss_G: -0.002129 Loss_D_real: -0.012753 Loss_D_fake 0.007057
[1397/5000][225/535][144153] Loss_D: -0.018917 Loss_G: 0.006326 Loss_D_real: -0.010559 Loss_D_fake 0.008358
[1397/5000][230/535][144154] Loss_D: -0.019472 Loss_G: 0.010180 Loss_D_real: -0.010756 Loss_D_fake 0.008716
[1397/5000][235/535][144155] Loss_D: -0.021175 Loss_G: 0.020864 Loss_D_real: -0.013959 Loss_D_fake 0.007216
[1397/5000][240/535][144156] Loss_D: -0.019439 Loss_G: -0.006126 Loss_D_real: -0.002532 Loss_D_fake 0.016907
[1397/5000][245/535][144157] Loss_D: -0.019620 Loss_G: 0.005890 Loss_D_real: -0.029340 Loss_D_fake -0.009720
[1397/5000][250/535][144158] Loss_D: -0.018527 Loss_G: -0.018664 Loss_D_real: 0.015135 Loss_D_fake 0.033662
[1397/5000][255/535][144159] Loss_D: -0.020131 Loss_G: 0.022826 Loss_D_real: -0.023434 Loss_D_fake -0.003304
[1397/5000][260/535][144160] Loss_D: -0.020736 Loss_G: 0.013042 Loss_D_real: -0.021136 Loss_D_fake -0.000400
[1397/5000][265/535][144161] Loss_D: -0.020505 Loss_G: 0.011567 Loss_D_real: -0.014902 Loss_D_fake 0.005603
[1397/5000][270/535][144162] Loss_D: -0.020632 Loss_G: 0.024966 Loss_D_real: -0.021219 Loss_D_fake -0.000587
[1397/5000][275/535][144163] Loss_D: -0.019599 Loss_G: -0.018094 Loss_D_real: -0.008137 Loss_D_fake 0.011462
[1397/5000][280/535][144164] Loss_D: -0.020047 Loss_G: 0.022548 Loss_D_real: -0.025536 Loss_D_fake -0.005489
[1397/5000][285/535][144165] Loss_D: -0.021616 Loss_G: 0.008434 Loss_D_real: -0.010846 Loss_D_fake 0.010769
[1397/5000][290/535][144166] Loss_D: -0.018964 Loss_G: -0.011375 Loss_D_real: -0.006995 Loss_D_fake 0.011968
[1397/5000][295/535][144167] Loss_D: -0.019079 Loss_G: 0.007662 Loss_D_real: -0.009679 Loss_D_fake 0.009400
[1397/5000][300/535][144168] Loss_D: -0.019049 Loss_G: -0.014534 Loss_D_real: 0.008552 Loss_D_fake 0.027602
[1397/5000][305/535][144169] Loss_D: -0.019358 Loss_G: -0.004208 Loss_D_real: -0.006779 Loss_D_fake 0.012579
[1397/5000][310/535][144170] Loss_D: -0.019372 Loss_G: 0.021606 Loss_D_real: -0.019818 Loss_D_fake -0.000445
[1397/5000][315/535][144171] Loss_D: -0.020761 Loss_G: 0.004228 Loss_D_real: -0.006178 Loss_D_fake 0.014584
[1397/5000][320/535][144172] Loss_D: -0.020191 Loss_G: -0.007195 Loss_D_real: -0.000504 Loss_D_fake 0.019687
[1397/5000][325/535][144173] Loss_D: -0.020056 Loss_G: 0.005797 Loss_D_real: -0.023705 Loss_D_fake -0.003649
[1397/5000][330/535][144174] Loss_D: -0.019979 Loss_G: -0.005816 Loss_D_real: -0.003080 Loss_D_fake 0.016899
[1397/5000][335/535][144175] Loss_D: -0.020320 Loss_G: 0.029358 Loss_D_real: -0.025542 Loss_D_fake -0.005222
[1397/5000][340/535][144176] Loss_D: -0.019767 Loss_G: -0.016525 Loss_D_real: -0.000042 Loss_D_fake 0.019725
[1397/5000][345/535][144177] Loss_D: -0.019098 Loss_G: 0.018362 Loss_D_real: -0.011137 Loss_D_fake 0.007961
[1397/5000][350/535][144178] Loss_D: -0.019361 Loss_G: 0.022567 Loss_D_real: -0.029489 Loss_D_fake -0.010129
[1397/5000][355/535][144179] Loss_D: -0.019999 Loss_G: 0.015891 Loss_D_real: -0.010103 Loss_D_fake 0.009897
[1397/5000][360/535][144180] Loss_D: -0.020699 Loss_G: 0.013181 Loss_D_real: -0.016972 Loss_D_fake 0.003727
[1397/5000][365/535][144181] Loss_D: -0.019738 Loss_G: -0.005227 Loss_D_real: -0.003867 Loss_D_fake 0.015871
[1397/5000][370/535][144182] Loss_D: -0.019459 Loss_G: -0.006307 Loss_D_real: -0.017878 Loss_D_fake 0.001582
[1397/5000][375/535][144183] Loss_D: -0.019337 Loss_G: 0.004616 Loss_D_real: -0.006237 Loss_D_fake 0.013100
[1397/5000][380/535][144184] Loss_D: -0.021354 Loss_G: -0.009480 Loss_D_real: -0.001926 Loss_D_fake 0.019428
[1397/5000][385/535][144185] Loss_D: -0.018232 Loss_G: 0.001352 Loss_D_real: -0.011530 Loss_D_fake 0.006702
[1397/5000][390/535][144186] Loss_D: -0.020689 Loss_G: 0.018255 Loss_D_real: -0.010859 Loss_D_fake 0.009829
[1397/5000][395/535][144187] Loss_D: -0.019188 Loss_G: -0.006719 Loss_D_real: -0.000560 Loss_D_fake 0.018628
[1397/5000][400/535][144188] Loss_D: -0.017724 Loss_G: -0.007795 Loss_D_real: 0.002025 Loss_D_fake 0.019749
[1397/5000][405/535][144189] Loss_D: -0.019250 Loss_G: 0.006418 Loss_D_real: -0.009021 Loss_D_fake 0.010229
[1397/5000][410/535][144190] Loss_D: -0.020092 Loss_G: 0.006649 Loss_D_real: -0.013579 Loss_D_fake 0.006513
[1397/5000][415/535][144191] Loss_D: -0.019652 Loss_G: 0.008636 Loss_D_real: -0.017603 Loss_D_fake 0.002049
[1397/5000][420/535][144192] Loss_D: -0.021305 Loss_G: 0.006996 Loss_D_real: -0.010598 Loss_D_fake 0.010706
[1397/5000][425/535][144193] Loss_D: -0.019405 Loss_G: -0.011024 Loss_D_real: 0.008493 Loss_D_fake 0.027898
[1397/5000][430/535][144194] Loss_D: -0.019730 Loss_G: 0.016490 Loss_D_real: -0.007874 Loss_D_fake 0.011856
[1397/5000][435/535][144195] Loss_D: -0.018729 Loss_G: 0.034218 Loss_D_real: -0.030292 Loss_D_fake -0.011562
[1397/5000][440/535][144196] Loss_D: -0.019784 Loss_G: -0.002247 Loss_D_real: -0.000497 Loss_D_fake 0.019287
[1397/5000][445/535][144197] Loss_D: -0.019604 Loss_G: 0.009345 Loss_D_real: -0.015120 Loss_D_fake 0.004483
[1397/5000][450/535][144198] Loss_D: -0.021572 Loss_G: -0.003667 Loss_D_real: -0.004769 Loss_D_fake 0.016803
[1397/5000][455/535][144199] Loss_D: -0.021057 Loss_G: 0.003411 Loss_D_real: -0.012627 Loss_D_fake 0.008430
[1397/5000][460/535][144200] Loss_D: -0.020676 Loss_G: 0.020346 Loss_D_real: -0.020213 Loss_D_fake 0.000463
[1397/5000][465/535][144201] Loss_D: -0.020604 Loss_G: 0.017322 Loss_D_real: -0.027116 Loss_D_fake -0.006512
[1397/5000][470/535][144202] Loss_D: -0.021984 Loss_G: 0.014930 Loss_D_real: -0.019240 Loss_D_fake 0.002744
[1397/5000][475/535][144203] Loss_D: -0.019495 Loss_G: -0.008286 Loss_D_real: 0.004353 Loss_D_fake 0.023848
[1397/5000][480/535][144204] Loss_D: -0.019073 Loss_G: -0.008720 Loss_D_real: 0.004026 Loss_D_fake 0.023099
[1397/5000][485/535][144205] Loss_D: -0.020071 Loss_G: 0.007047 Loss_D_real: -0.013027 Loss_D_fake 0.007044
[1397/5000][490/535][144206] Loss_D: -0.019745 Loss_G: -0.000984 Loss_D_real: -0.012388 Loss_D_fake 0.007357
[1397/5000][495/535][144207] Loss_D: -0.020860 Loss_G: 0.004900 Loss_D_real: -0.012310 Loss_D_fake 0.008550
[1397/5000][500/535][144208] Loss_D: -0.018769 Loss_G: 0.006465 Loss_D_real: -0.020394 Loss_D_fake -0.001626
[1397/5000][505/535][144209] Loss_D: -0.020753 Loss_G: 0.012658 Loss_D_real: -0.006902 Loss_D_fake 0.013851
[1397/5000][510/535][144210] Loss_D: -0.020429 Loss_G: 0.023023 Loss_D_real: -0.023005 Loss_D_fake -0.002576
[1397/5000][515/535][144211] Loss_D: -0.020368 Loss_G: -0.012477 Loss_D_real: -0.007789 Loss_D_fake 0.012579
[1397/5000][520/535][144212] Loss_D: -0.019083 Loss_G: 0.019267 Loss_D_real: -0.035987 Loss_D_fake -0.016903
[1397/5000][525/535][144213] Loss_D: -0.019134 Loss_G: -0.000696 Loss_D_real: -0.003903 Loss_D_fake 0.015231
[1397/5000][530/535][144214] Loss_D: -0.021047 Loss_G: 0.009510 Loss_D_real: -0.030137 Loss_D_fake -0.009091
[1397/5000][535/535][144215] Loss_D: -0.017990 Loss_G: 0.003114 Loss_D_real: -0.019950 Loss_D_fake -0.001960
[1398/5000][5/535][144216] Loss_D: -0.019379 Loss_G: 0.000294 Loss_D_real: -0.010510 Loss_D_fake 0.008870
[1398/5000][10/535][144217] Loss_D: -0.019083 Loss_G: 0.020535 Loss_D_real: -0.028219 Loss_D_fake -0.009136
[1398/5000][15/535][144218] Loss_D: -0.019937 Loss_G: 0.018444 Loss_D_real: -0.028406 Loss_D_fake -0.008469
[1398/5000][20/535][144219] Loss_D: -0.019852 Loss_G: 0.017009 Loss_D_real: -0.030910 Loss_D_fake -0.011058
[1398/5000][25/535][144220] Loss_D: -0.018594 Loss_G: 0.016804 Loss_D_real: -0.024359 Loss_D_fake -0.005766
[1398/5000][30/535][144221] Loss_D: -0.019578 Loss_G: 0.015959 Loss_D_real: -0.017008 Loss_D_fake 0.002570
[1398/5000][35/535][144222] Loss_D: -0.018877 Loss_G: 0.017089 Loss_D_real: -0.023319 Loss_D_fake -0.004442
[1398/5000][40/535][144223] Loss_D: -0.019366 Loss_G: -0.002409 Loss_D_real: -0.005403 Loss_D_fake 0.013963
[1398/5000][45/535][144224] Loss_D: -0.019789 Loss_G: 0.011346 Loss_D_real: -0.007907 Loss_D_fake 0.011882
[1398/5000][50/535][144225] Loss_D: -0.020282 Loss_G: 0.011104 Loss_D_real: -0.002801 Loss_D_fake 0.017481
[1398/5000][55/535][144226] Loss_D: -0.019161 Loss_G: -0.008419 Loss_D_real: -0.006040 Loss_D_fake 0.013122
[1398/5000][60/535][144227] Loss_D: -0.020201 Loss_G: -0.011667 Loss_D_real: -0.005393 Loss_D_fake 0.014808
[1398/5000][65/535][144228] Loss_D: -0.019479 Loss_G: 0.008621 Loss_D_real: -0.009618 Loss_D_fake 0.009861
[1398/5000][70/535][144229] Loss_D: -0.019104 Loss_G: 0.009006 Loss_D_real: -0.032419 Loss_D_fake -0.013315
[1398/5000][75/535][144230] Loss_D: -0.019799 Loss_G: 0.024875 Loss_D_real: -0.015664 Loss_D_fake 0.004135
[1398/5000][80/535][144231] Loss_D: -0.017410 Loss_G: 0.028010 Loss_D_real: -0.038909 Loss_D_fake -0.021500
[1398/5000][85/535][144232] Loss_D: -0.020265 Loss_G: 0.017755 Loss_D_real: -0.009839 Loss_D_fake 0.010426
[1398/5000][90/535][144233] Loss_D: -0.018894 Loss_G: -0.003897 Loss_D_real: -0.007060 Loss_D_fake 0.011834
[1398/5000][95/535][144234] Loss_D: -0.019360 Loss_G: 0.004218 Loss_D_real: -0.004064 Loss_D_fake 0.015296
[1398/5000][100/535][144235] Loss_D: -0.018132 Loss_G: -0.004238 Loss_D_real: 0.014914 Loss_D_fake 0.033046
[1398/5000][105/535][144236] Loss_D: -0.018853 Loss_G: 0.024678 Loss_D_real: -0.021772 Loss_D_fake -0.002919
[1398/5000][110/535][144237] Loss_D: -0.020394 Loss_G: 0.008410 Loss_D_real: -0.005572 Loss_D_fake 0.014822
[1398/5000][115/535][144238] Loss_D: -0.019539 Loss_G: -0.007006 Loss_D_real: -0.002122 Loss_D_fake 0.017417
[1398/5000][120/535][144239] Loss_D: -0.020893 Loss_G: -0.009723 Loss_D_real: -0.016139 Loss_D_fake 0.004755
[1398/5000][125/535][144240] Loss_D: -0.021437 Loss_G: 0.003290 Loss_D_real: -0.013312 Loss_D_fake 0.008124
[1398/5000][130/535][144241] Loss_D: -0.020153 Loss_G: 0.021955 Loss_D_real: -0.016898 Loss_D_fake 0.003256
[1398/5000][135/535][144242] Loss_D: -0.021493 Loss_G: 0.000326 Loss_D_real: 0.003454 Loss_D_fake 0.024947
[1398/5000][140/535][144243] Loss_D: -0.022086 Loss_G: 0.011642 Loss_D_real: -0.014050 Loss_D_fake 0.008036
[1398/5000][145/535][144244] Loss_D: -0.019876 Loss_G: 0.010901 Loss_D_real: -0.022451 Loss_D_fake -0.002575
[1398/5000][150/535][144245] Loss_D: -0.020154 Loss_G: -0.005247 Loss_D_real: -0.003314 Loss_D_fake 0.016840
[1398/5000][155/535][144246] Loss_D: -0.019590 Loss_G: 0.011277 Loss_D_real: -0.020656 Loss_D_fake -0.001066
[1398/5000][160/535][144247] Loss_D: -0.022001 Loss_G: 0.004317 Loss_D_real: -0.010044 Loss_D_fake 0.011957
[1398/5000][165/535][144248] Loss_D: -0.020056 Loss_G: 0.011437 Loss_D_real: -0.005125 Loss_D_fake 0.014931
[1398/5000][170/535][144249] Loss_D: -0.019235 Loss_G: 0.026592 Loss_D_real: -0.028912 Loss_D_fake -0.009677
[1398/5000][175/535][144250] Loss_D: -0.020758 Loss_G: 0.005089 Loss_D_real: -0.006763 Loss_D_fake 0.013995
[1398/5000][180/535][144251] Loss_D: -0.019643 Loss_G: 0.026819 Loss_D_real: -0.026505 Loss_D_fake -0.006863
[1398/5000][185/535][144252] Loss_D: -0.018684 Loss_G: 0.022332 Loss_D_real: -0.029978 Loss_D_fake -0.011294
[1398/5000][190/535][144253] Loss_D: -0.020400 Loss_G: 0.007556 Loss_D_real: -0.021741 Loss_D_fake -0.001341
[1398/5000][195/535][144254] Loss_D: -0.020158 Loss_G: 0.008802 Loss_D_real: -0.011175 Loss_D_fake 0.008983
[1398/5000][200/535][144255] Loss_D: -0.020131 Loss_G: 0.006407 Loss_D_real: -0.007389 Loss_D_fake 0.012742
[1398/5000][205/535][144256] Loss_D: -0.020626 Loss_G: 0.002014 Loss_D_real: -0.019996 Loss_D_fake 0.000631
[1398/5000][210/535][144257] Loss_D: -0.019183 Loss_G: 0.005733 Loss_D_real: -0.010216 Loss_D_fake 0.008968
[1398/5000][215/535][144258] Loss_D: -0.021003 Loss_G: -0.009753 Loss_D_real: 0.002592 Loss_D_fake 0.023596
[1398/5000][220/535][144259] Loss_D: -0.020358 Loss_G: 0.002489 Loss_D_real: -0.010678 Loss_D_fake 0.009680
[1398/5000][225/535][144260] Loss_D: -0.020095 Loss_G: -0.003612 Loss_D_real: 0.004215 Loss_D_fake 0.024311
[1398/5000][230/535][144261] Loss_D: -0.019614 Loss_G: 0.015924 Loss_D_real: -0.027486 Loss_D_fake -0.007872
[1398/5000][235/535][144262] Loss_D: -0.021230 Loss_G: 0.035897 Loss_D_real: -0.022228 Loss_D_fake -0.000998
[1398/5000][240/535][144263] Loss_D: -0.018740 Loss_G: 0.002775 Loss_D_real: -0.021611 Loss_D_fake -0.002870
[1398/5000][245/535][144264] Loss_D: -0.018591 Loss_G: 0.031626 Loss_D_real: -0.033478 Loss_D_fake -0.014887
[1398/5000][250/535][144265] Loss_D: -0.020173 Loss_G: -0.000860 Loss_D_real: -0.009123 Loss_D_fake 0.011050
[1398/5000][255/535][144266] Loss_D: -0.018990 Loss_G: -0.012801 Loss_D_real: 0.000332 Loss_D_fake 0.019323
[1398/5000][260/535][144267] Loss_D: -0.019106 Loss_G: 0.010035 Loss_D_real: -0.015476 Loss_D_fake 0.003630
[1398/5000][265/535][144268] Loss_D: -0.020984 Loss_G: -0.002174 Loss_D_real: -0.010161 Loss_D_fake 0.010823
[1398/5000][270/535][144269] Loss_D: -0.018175 Loss_G: -0.018708 Loss_D_real: -0.004296 Loss_D_fake 0.013878
[1398/5000][275/535][144270] Loss_D: -0.020827 Loss_G: 0.013830 Loss_D_real: -0.014450 Loss_D_fake 0.006377
[1398/5000][280/535][144271] Loss_D: -0.017377 Loss_G: -0.008135 Loss_D_real: 0.002487 Loss_D_fake 0.019865
[1398/5000][285/535][144272] Loss_D: -0.020034 Loss_G: 0.007632 Loss_D_real: -0.027636 Loss_D_fake -0.007603
[1398/5000][290/535][144273] Loss_D: -0.019822 Loss_G: -0.004525 Loss_D_real: -0.010967 Loss_D_fake 0.008855
[1398/5000][295/535][144274] Loss_D: -0.019280 Loss_G: 0.002332 Loss_D_real: 0.007317 Loss_D_fake 0.026596
[1398/5000][300/535][144275] Loss_D: -0.018961 Loss_G: 0.013272 Loss_D_real: -0.022102 Loss_D_fake -0.003141
[1398/5000][305/535][144276] Loss_D: -0.018993 Loss_G: -0.002633 Loss_D_real: -0.006291 Loss_D_fake 0.012702
[1398/5000][310/535][144277] Loss_D: -0.020338 Loss_G: 0.029116 Loss_D_real: -0.019912 Loss_D_fake 0.000426
[1398/5000][315/535][144278] Loss_D: -0.020783 Loss_G: 0.004300 Loss_D_real: -0.007662 Loss_D_fake 0.013122
[1398/5000][320/535][144279] Loss_D: -0.019210 Loss_G: 0.025595 Loss_D_real: -0.031357 Loss_D_fake -0.012147
[1398/5000][325/535][144280] Loss_D: -0.019425 Loss_G: 0.011251 Loss_D_real: -0.017534 Loss_D_fake 0.001891
[1398/5000][330/535][144281] Loss_D: -0.020334 Loss_G: 0.006665 Loss_D_real: -0.013540 Loss_D_fake 0.006794
[1398/5000][335/535][144282] Loss_D: -0.020056 Loss_G: 0.035427 Loss_D_real: -0.015444 Loss_D_fake 0.004612
[1398/5000][340/535][144283] Loss_D: -0.021219 Loss_G: 0.018443 Loss_D_real: -0.020591 Loss_D_fake 0.000629
[1398/5000][345/535][144284] Loss_D: -0.019241 Loss_G: -0.017450 Loss_D_real: -0.008030 Loss_D_fake 0.011211
[1398/5000][350/535][144285] Loss_D: -0.021068 Loss_G: 0.008699 Loss_D_real: -0.002387 Loss_D_fake 0.018680
[1398/5000][355/535][144286] Loss_D: -0.019626 Loss_G: 0.016487 Loss_D_real: -0.002234 Loss_D_fake 0.017392
[1398/5000][360/535][144287] Loss_D: -0.019222 Loss_G: -0.006408 Loss_D_real: -0.003531 Loss_D_fake 0.015691
[1398/5000][365/535][144288] Loss_D: -0.019976 Loss_G: -0.002756 Loss_D_real: -0.013401 Loss_D_fake 0.006574
[1398/5000][370/535][144289] Loss_D: -0.020720 Loss_G: 0.008698 Loss_D_real: -0.023441 Loss_D_fake -0.002721
[1398/5000][375/535][144290] Loss_D: -0.020032 Loss_G: 0.026318 Loss_D_real: -0.024650 Loss_D_fake -0.004619
[1398/5000][380/535][144291] Loss_D: -0.019550 Loss_G: 0.004234 Loss_D_real: -0.008474 Loss_D_fake 0.011076
[1398/5000][385/535][144292] Loss_D: -0.019963 Loss_G: 0.026197 Loss_D_real: -0.020047 Loss_D_fake -0.000083
[1398/5000][390/535][144293] Loss_D: -0.019630 Loss_G: 0.010573 Loss_D_real: -0.009533 Loss_D_fake 0.010097
[1398/5000][395/535][144294] Loss_D: -0.019094 Loss_G: 0.023016 Loss_D_real: -0.028789 Loss_D_fake -0.009695
[1398/5000][400/535][144295] Loss_D: -0.018252 Loss_G: 0.017268 Loss_D_real: -0.018927 Loss_D_fake -0.000675
[1398/5000][405/535][144296] Loss_D: -0.018603 Loss_G: 0.028805 Loss_D_real: -0.021678 Loss_D_fake -0.003075
[1398/5000][410/535][144297] Loss_D: -0.016804 Loss_G: 0.023510 Loss_D_real: -0.040991 Loss_D_fake -0.024187
[1398/5000][415/535][144298] Loss_D: -0.019590 Loss_G: 0.010724 Loss_D_real: -0.015899 Loss_D_fake 0.003691
[1398/5000][420/535][144299] Loss_D: -0.021366 Loss_G: 0.009092 Loss_D_real: -0.003007 Loss_D_fake 0.018359
[1398/5000][425/535][144300] Loss_D: -0.020124 Loss_G: -0.010348 Loss_D_real: -0.005770 Loss_D_fake 0.014354
[1398/5000][430/535][144301] Loss_D: -0.020149 Loss_G: 0.023048 Loss_D_real: -0.021610 Loss_D_fake -0.001461
[1398/5000][435/535][144302] Loss_D: -0.021265 Loss_G: -0.006754 Loss_D_real: 0.000916 Loss_D_fake 0.022181
[1398/5000][440/535][144303] Loss_D: -0.020201 Loss_G: 0.019038 Loss_D_real: -0.013033 Loss_D_fake 0.007168
[1398/5000][445/535][144304] Loss_D: -0.018984 Loss_G: 0.011896 Loss_D_real: -0.011121 Loss_D_fake 0.007863
[1398/5000][450/535][144305] Loss_D: -0.019036 Loss_G: 0.028136 Loss_D_real: -0.016023 Loss_D_fake 0.003013
[1398/5000][455/535][144306] Loss_D: -0.020342 Loss_G: 0.007495 Loss_D_real: -0.011494 Loss_D_fake 0.008848
[1398/5000][460/535][144307] Loss_D: -0.018825 Loss_G: 0.000944 Loss_D_real: 0.002980 Loss_D_fake 0.021804
[1398/5000][465/535][144308] Loss_D: -0.019689 Loss_G: 0.030720 Loss_D_real: -0.024825 Loss_D_fake -0.005137
[1398/5000][470/535][144309] Loss_D: -0.019698 Loss_G: -0.011902 Loss_D_real: -0.000471 Loss_D_fake 0.019227
[1398/5000][475/535][144310] Loss_D: -0.019025 Loss_G: 0.010474 Loss_D_real: -0.018985 Loss_D_fake 0.000040
[1398/5000][480/535][144311] Loss_D: -0.019056 Loss_G: 0.021826 Loss_D_real: -0.027368 Loss_D_fake -0.008312
[1398/5000][485/535][144312] Loss_D: -0.019107 Loss_G: 0.016536 Loss_D_real: -0.013176 Loss_D_fake 0.005932
[1398/5000][490/535][144313] Loss_D: -0.019128 Loss_G: 0.002641 Loss_D_real: -0.011483 Loss_D_fake 0.007645
[1398/5000][495/535][144314] Loss_D: -0.020870 Loss_G: 0.008228 Loss_D_real: -0.000138 Loss_D_fake 0.020732
[1398/5000][500/535][144315] Loss_D: -0.018457 Loss_G: -0.005389 Loss_D_real: 0.001202 Loss_D_fake 0.019659
[1398/5000][505/535][144316] Loss_D: -0.018863 Loss_G: -0.001920 Loss_D_real: -0.014024 Loss_D_fake 0.004839
[1398/5000][510/535][144317] Loss_D: -0.021399 Loss_G: 0.009051 Loss_D_real: -0.016419 Loss_D_fake 0.004981
[1398/5000][515/535][144318] Loss_D: -0.018331 Loss_G: -0.010582 Loss_D_real: 0.006837 Loss_D_fake 0.025168
[1398/5000][520/535][144319] Loss_D: -0.020698 Loss_G: 0.008411 Loss_D_real: -0.023353 Loss_D_fake -0.002655
[1398/5000][525/535][144320] Loss_D: -0.019936 Loss_G: 0.010628 Loss_D_real: -0.017939 Loss_D_fake 0.001997
[1398/5000][530/535][144321] Loss_D: -0.018945 Loss_G: -0.009369 Loss_D_real: 0.003818 Loss_D_fake 0.022763
[1398/5000][535/535][144322] Loss_D: -0.019561 Loss_G: 0.010002 Loss_D_real: -0.018041 Loss_D_fake 0.001520
[1399/5000][5/535][144323] Loss_D: -0.020502 Loss_G: 0.007283 Loss_D_real: -0.009040 Loss_D_fake 0.011463
[1399/5000][10/535][144324] Loss_D: -0.020903 Loss_G: 0.018264 Loss_D_real: -0.013634 Loss_D_fake 0.007270
[1399/5000][15/535][144325] Loss_D: -0.019817 Loss_G: 0.016271 Loss_D_real: -0.017378 Loss_D_fake 0.002439
[1399/5000][20/535][144326] Loss_D: -0.019191 Loss_G: -0.010383 Loss_D_real: -0.004624 Loss_D_fake 0.014567
[1399/5000][25/535][144327] Loss_D: -0.019760 Loss_G: 0.003339 Loss_D_real: 0.003629 Loss_D_fake 0.023389
[1399/5000][30/535][144328] Loss_D: -0.020594 Loss_G: 0.025412 Loss_D_real: -0.021498 Loss_D_fake -0.000904
[1399/5000][35/535][144329] Loss_D: -0.020896 Loss_G: 0.001448 Loss_D_real: -0.016979 Loss_D_fake 0.003918
[1399/5000][40/535][144330] Loss_D: -0.021689 Loss_G: 0.010723 Loss_D_real: -0.016725 Loss_D_fake 0.004964
[1399/5000][45/535][144331] Loss_D: -0.019375 Loss_G: 0.015415 Loss_D_real: -0.019493 Loss_D_fake -0.000117
[1399/5000][50/535][144332] Loss_D: -0.019114 Loss_G: 0.008505 Loss_D_real: -0.015024 Loss_D_fake 0.004090
[1399/5000][55/535][144333] Loss_D: -0.019223 Loss_G: 0.004176 Loss_D_real: -0.009085 Loss_D_fake 0.010139
[1399/5000][60/535][144334] Loss_D: -0.019495 Loss_G: 0.005651 Loss_D_real: -0.014810 Loss_D_fake 0.004685
[1399/5000][65/535][144335] Loss_D: -0.021376 Loss_G: 0.004226 Loss_D_real: -0.014683 Loss_D_fake 0.006693
[1399/5000][70/535][144336] Loss_D: -0.021475 Loss_G: 0.018265 Loss_D_real: -0.017063 Loss_D_fake 0.004413
[1399/5000][75/535][144337] Loss_D: -0.020076 Loss_G: 0.025347 Loss_D_real: -0.027392 Loss_D_fake -0.007316
[1399/5000][80/535][144338] Loss_D: -0.019609 Loss_G: 0.023791 Loss_D_real: -0.028146 Loss_D_fake -0.008536
[1399/5000][85/535][144339] Loss_D: -0.020997 Loss_G: 0.018677 Loss_D_real: -0.020193 Loss_D_fake 0.000804
[1399/5000][90/535][144340] Loss_D: -0.021500 Loss_G: 0.006242 Loss_D_real: -0.002037 Loss_D_fake 0.019463
[1399/5000][95/535][144341] Loss_D: -0.020308 Loss_G: -0.003749 Loss_D_real: -0.014735 Loss_D_fake 0.005574
[1399/5000][100/535][144342] Loss_D: -0.020646 Loss_G: 0.001640 Loss_D_real: -0.007459 Loss_D_fake 0.013187
[1399/5000][105/535][144343] Loss_D: -0.018225 Loss_G: 0.010983 Loss_D_real: -0.009130 Loss_D_fake 0.009096
[1399/5000][110/535][144344] Loss_D: -0.020397 Loss_G: 0.011673 Loss_D_real: -0.021653 Loss_D_fake -0.001255
[1399/5000][115/535][144345] Loss_D: -0.020840 Loss_G: 0.000607 Loss_D_real: -0.013974 Loss_D_fake 0.006866
[1399/5000][120/535][144346] Loss_D: -0.020609 Loss_G: -0.002520 Loss_D_real: -0.002864 Loss_D_fake 0.017745
[1399/5000][125/535][144347] Loss_D: -0.020360 Loss_G: -0.000027 Loss_D_real: -0.004326 Loss_D_fake 0.016034
[1399/5000][130/535][144348] Loss_D: -0.019097 Loss_G: -0.000014 Loss_D_real: 0.008698 Loss_D_fake 0.027795
[1399/5000][135/535][144349] Loss_D: -0.019516 Loss_G: -0.000177 Loss_D_real: -0.014110 Loss_D_fake 0.005407
[1399/5000][140/535][144350] Loss_D: -0.019613 Loss_G: 0.006804 Loss_D_real: -0.006970 Loss_D_fake 0.012643
[1399/5000][145/535][144351] Loss_D: -0.019076 Loss_G: 0.020690 Loss_D_real: -0.028496 Loss_D_fake -0.009420
[1399/5000][150/535][144352] Loss_D: -0.019358 Loss_G: 0.018961 Loss_D_real: -0.006968 Loss_D_fake 0.012390
[1399/5000][155/535][144353] Loss_D: -0.019571 Loss_G: -0.011461 Loss_D_real: 0.003721 Loss_D_fake 0.023293
[1399/5000][160/535][144354] Loss_D: -0.019853 Loss_G: 0.013452 Loss_D_real: -0.005622 Loss_D_fake 0.014231
[1399/5000][165/535][144355] Loss_D: -0.019785 Loss_G: 0.002163 Loss_D_real: -0.011911 Loss_D_fake 0.007874
[1399/5000][170/535][144356] Loss_D: -0.018855 Loss_G: 0.020717 Loss_D_real: -0.023137 Loss_D_fake -0.004282
[1399/5000][175/535][144357] Loss_D: -0.020502 Loss_G: 0.007502 Loss_D_real: -0.014922 Loss_D_fake 0.005580
[1399/5000][180/535][144358] Loss_D: -0.020768 Loss_G: 0.013565 Loss_D_real: -0.011772 Loss_D_fake 0.008996
[1399/5000][185/535][144359] Loss_D: -0.020586 Loss_G: 0.004844 Loss_D_real: -0.016542 Loss_D_fake 0.004045
[1399/5000][190/535][144360] Loss_D: -0.019992 Loss_G: 0.008054 Loss_D_real: -0.003807 Loss_D_fake 0.016186
[1399/5000][195/535][144361] Loss_D: -0.020335 Loss_G: 0.013478 Loss_D_real: -0.012296 Loss_D_fake 0.008040
[1399/5000][200/535][144362] Loss_D: -0.022537 Loss_G: 0.008423 Loss_D_real: -0.009923 Loss_D_fake 0.012614
[1399/5000][205/535][144363] Loss_D: -0.021374 Loss_G: 0.004011 Loss_D_real: -0.017637 Loss_D_fake 0.003737
[1399/5000][210/535][144364] Loss_D: -0.021122 Loss_G: -0.003365 Loss_D_real: -0.016634 Loss_D_fake 0.004488
[1399/5000][215/535][144365] Loss_D: -0.019368 Loss_G: -0.007510 Loss_D_real: -0.002336 Loss_D_fake 0.017032
[1399/5000][220/535][144366] Loss_D: -0.019531 Loss_G: 0.004306 Loss_D_real: -0.008395 Loss_D_fake 0.011136
[1399/5000][225/535][144367] Loss_D: -0.019039 Loss_G: 0.003511 Loss_D_real: -0.011104 Loss_D_fake 0.007935
[1399/5000][230/535][144368] Loss_D: -0.018496 Loss_G: 0.023205 Loss_D_real: -0.025800 Loss_D_fake -0.007305
[1399/5000][235/535][144369] Loss_D: -0.019207 Loss_G: 0.002458 Loss_D_real: -0.007229 Loss_D_fake 0.011978
[1399/5000][240/535][144370] Loss_D: -0.018839 Loss_G: -0.000119 Loss_D_real: -0.008096 Loss_D_fake 0.010743
[1399/5000][245/535][144371] Loss_D: -0.020834 Loss_G: 0.023303 Loss_D_real: -0.024006 Loss_D_fake -0.003171
[1399/5000][250/535][144372] Loss_D: -0.020057 Loss_G: 0.014449 Loss_D_real: -0.007045 Loss_D_fake 0.013012
[1399/5000][255/535][144373] Loss_D: -0.019581 Loss_G: -0.000607 Loss_D_real: -0.010595 Loss_D_fake 0.008986
[1399/5000][260/535][144374] Loss_D: -0.018403 Loss_G: 0.015222 Loss_D_real: -0.012894 Loss_D_fake 0.005509
[1399/5000][265/535][144375] Loss_D: -0.019435 Loss_G: 0.002886 Loss_D_real: -0.018769 Loss_D_fake 0.000667
[1399/5000][270/535][144376] Loss_D: -0.019011 Loss_G: 0.015991 Loss_D_real: -0.029023 Loss_D_fake -0.010012
[1399/5000][275/535][144377] Loss_D: -0.019175 Loss_G: 0.022570 Loss_D_real: -0.022638 Loss_D_fake -0.003463
[1399/5000][280/535][144378] Loss_D: -0.020027 Loss_G: 0.019033 Loss_D_real: -0.010983 Loss_D_fake 0.009045
[1399/5000][285/535][144379] Loss_D: -0.019034 Loss_G: -0.021658 Loss_D_real: -0.004389 Loss_D_fake 0.014645
[1399/5000][290/535][144380] Loss_D: -0.019858 Loss_G: 0.021967 Loss_D_real: -0.010876 Loss_D_fake 0.008982
[1399/5000][295/535][144381] Loss_D: -0.020219 Loss_G: 0.001618 Loss_D_real: -0.004776 Loss_D_fake 0.015443
[1399/5000][300/535][144382] Loss_D: -0.021477 Loss_G: 0.002928 Loss_D_real: -0.014619 Loss_D_fake 0.006858
[1399/5000][305/535][144383] Loss_D: -0.018128 Loss_G: 0.034433 Loss_D_real: -0.025601 Loss_D_fake -0.007473
[1399/5000][310/535][144384] Loss_D: -0.021136 Loss_G: 0.016961 Loss_D_real: -0.015459 Loss_D_fake 0.005678
[1399/5000][315/535][144385] Loss_D: -0.019775 Loss_G: 0.005686 Loss_D_real: -0.007237 Loss_D_fake 0.012538
[1399/5000][320/535][144386] Loss_D: -0.019789 Loss_G: 0.010497 Loss_D_real: -0.005576 Loss_D_fake 0.014213
[1399/5000][325/535][144387] Loss_D: -0.019531 Loss_G: 0.019836 Loss_D_real: -0.021511 Loss_D_fake -0.001980
[1399/5000][330/535][144388] Loss_D: -0.020739 Loss_G: -0.000856 Loss_D_real: -0.011732 Loss_D_fake 0.009006
[1399/5000][335/535][144389] Loss_D: -0.018946 Loss_G: 0.025848 Loss_D_real: -0.015382 Loss_D_fake 0.003563
[1399/5000][340/535][144390] Loss_D: -0.019977 Loss_G: 0.022480 Loss_D_real: -0.020552 Loss_D_fake -0.000576
[1399/5000][345/535][144391] Loss_D: -0.018563 Loss_G: 0.027026 Loss_D_real: -0.021271 Loss_D_fake -0.002707
[1399/5000][350/535][144392] Loss_D: -0.020793 Loss_G: -0.013149 Loss_D_real: -0.007358 Loss_D_fake 0.013434
[1399/5000][355/535][144393] Loss_D: -0.019593 Loss_G: -0.007855 Loss_D_real: -0.008244 Loss_D_fake 0.011350
[1399/5000][360/535][144394] Loss_D: -0.018972 Loss_G: 0.026658 Loss_D_real: -0.026255 Loss_D_fake -0.007284
[1399/5000][365/535][144395] Loss_D: -0.020444 Loss_G: 0.010303 Loss_D_real: -0.010609 Loss_D_fake 0.009834
[1399/5000][370/535][144396] Loss_D: -0.020777 Loss_G: 0.016416 Loss_D_real: -0.020174 Loss_D_fake 0.000603
[1399/5000][375/535][144397] Loss_D: -0.021747 Loss_G: 0.017401 Loss_D_real: -0.018887 Loss_D_fake 0.002861
[1399/5000][380/535][144398] Loss_D: -0.019507 Loss_G: 0.021675 Loss_D_real: -0.017308 Loss_D_fake 0.002199
[1399/5000][385/535][144399] Loss_D: -0.020186 Loss_G: 0.027637 Loss_D_real: -0.024605 Loss_D_fake -0.004419
[1399/5000][390/535][144400] Loss_D: -0.020520 Loss_G: 0.017554 Loss_D_real: -0.006670 Loss_D_fake 0.013850
[1399/5000][395/535][144401] Loss_D: -0.019646 Loss_G: -0.018237 Loss_D_real: -0.006934 Loss_D_fake 0.012712
[1399/5000][400/535][144402] Loss_D: -0.020355 Loss_G: 0.009038 Loss_D_real: -0.023985 Loss_D_fake -0.003630
[1399/5000][405/535][144403] Loss_D: -0.020770 Loss_G: 0.007084 Loss_D_real: -0.025070 Loss_D_fake -0.004300
[1399/5000][410/535][144404] Loss_D: -0.020539 Loss_G: 0.004808 Loss_D_real: -0.015013 Loss_D_fake 0.005527
[1399/5000][415/535][144405] Loss_D: -0.019630 Loss_G: 0.023913 Loss_D_real: -0.025042 Loss_D_fake -0.005413
[1399/5000][420/535][144406] Loss_D: -0.020601 Loss_G: -0.004476 Loss_D_real: -0.003442 Loss_D_fake 0.017160
[1399/5000][425/535][144407] Loss_D: -0.021226 Loss_G: -0.005842 Loss_D_real: -0.002840 Loss_D_fake 0.018386
[1399/5000][430/535][144408] Loss_D: -0.019382 Loss_G: 0.000710 Loss_D_real: -0.009690 Loss_D_fake 0.009691
[1399/5000][435/535][144409] Loss_D: -0.019867 Loss_G: 0.012082 Loss_D_real: -0.017759 Loss_D_fake 0.002108
[1399/5000][440/535][144410] Loss_D: -0.019601 Loss_G: 0.008363 Loss_D_real: -0.011476 Loss_D_fake 0.008125
[1399/5000][445/535][144411] Loss_D: -0.021182 Loss_G: 0.006559 Loss_D_real: -0.010245 Loss_D_fake 0.010937
[1399/5000][450/535][144412] Loss_D: -0.019764 Loss_G: 0.021289 Loss_D_real: -0.020677 Loss_D_fake -0.000913
[1399/5000][455/535][144413] Loss_D: -0.020592 Loss_G: -0.005730 Loss_D_real: -0.012468 Loss_D_fake 0.008124
[1399/5000][460/535][144414] Loss_D: -0.018720 Loss_G: 0.012631 Loss_D_real: -0.013828 Loss_D_fake 0.004891
[1399/5000][465/535][144415] Loss_D: -0.020666 Loss_G: -0.010039 Loss_D_real: -0.014125 Loss_D_fake 0.006541
[1399/5000][470/535][144416] Loss_D: -0.019359 Loss_G: -0.004166 Loss_D_real: 0.004592 Loss_D_fake 0.023951
[1399/5000][475/535][144417] Loss_D: -0.020282 Loss_G: 0.017464 Loss_D_real: -0.011476 Loss_D_fake 0.008806
[1399/5000][480/535][144418] Loss_D: -0.020117 Loss_G: 0.001240 Loss_D_real: -0.013365 Loss_D_fake 0.006752
[1399/5000][485/535][144419] Loss_D: -0.020676 Loss_G: 0.015159 Loss_D_real: -0.025123 Loss_D_fake -0.004447
[1399/5000][490/535][144420] Loss_D: -0.020419 Loss_G: 0.015358 Loss_D_real: -0.025201 Loss_D_fake -0.004782
[1399/5000][495/535][144421] Loss_D: -0.019852 Loss_G: 0.013795 Loss_D_real: -0.008737 Loss_D_fake 0.011115
[1399/5000][500/535][144422] Loss_D: -0.019261 Loss_G: 0.000249 Loss_D_real: -0.016367 Loss_D_fake 0.002894
[1399/5000][505/535][144423] Loss_D: -0.019440 Loss_G: 0.015247 Loss_D_real: -0.030721 Loss_D_fake -0.011281
[1399/5000][510/535][144424] Loss_D: -0.021166 Loss_G: 0.009917 Loss_D_real: -0.023921 Loss_D_fake -0.002754
[1399/5000][515/535][144425] Loss_D: -0.021021 Loss_G: 0.016675 Loss_D_real: -0.024343 Loss_D_fake -0.003322
[1399/5000][520/535][144426] Loss_D: -0.020619 Loss_G: 0.001435 Loss_D_real: 0.001977 Loss_D_fake 0.022596
[1399/5000][525/535][144427] Loss_D: -0.018364 Loss_G: 0.029849 Loss_D_real: -0.027359 Loss_D_fake -0.008994
[1399/5000][530/535][144428] Loss_D: -0.020185 Loss_G: 0.003694 Loss_D_real: -0.009663 Loss_D_fake 0.010522
[1399/5000][535/535][144429] Loss_D: -0.020019 Loss_G: 0.016000 Loss_D_real: -0.022192 Loss_D_fake -0.002173
[1400/5000][5/535][144430] Loss_D: -0.020667 Loss_G: 0.018356 Loss_D_real: -0.027813 Loss_D_fake -0.007146
[1400/5000][10/535][144431] Loss_D: -0.020403 Loss_G: 0.014400 Loss_D_real: -0.001809 Loss_D_fake 0.018593
[1400/5000][15/535][144432] Loss_D: -0.020473 Loss_G: 0.009924 Loss_D_real: -0.012455 Loss_D_fake 0.008018
[1400/5000][20/535][144433] Loss_D: -0.020497 Loss_G: -0.003363 Loss_D_real: -0.011415 Loss_D_fake 0.009082
[1400/5000][25/535][144434] Loss_D: -0.019444 Loss_G: -0.009487 Loss_D_real: -0.004053 Loss_D_fake 0.015390
[1400/5000][30/535][144435] Loss_D: -0.019280 Loss_G: 0.007069 Loss_D_real: -0.018627 Loss_D_fake 0.000653
[1400/5000][35/535][144436] Loss_D: -0.019698 Loss_G: 0.003144 Loss_D_real: -0.004993 Loss_D_fake 0.014705
[1400/5000][40/535][144437] Loss_D: -0.019957 Loss_G: -0.009391 Loss_D_real: 0.003958 Loss_D_fake 0.023916
[1400/5000][45/535][144438] Loss_D: -0.018453 Loss_G: 0.018760 Loss_D_real: -0.015875 Loss_D_fake 0.002578
[1400/5000][50/535][144439] Loss_D: -0.020713 Loss_G: -0.002025 Loss_D_real: -0.004671 Loss_D_fake 0.016043
[1400/5000][55/535][144440] Loss_D: -0.021707 Loss_G: -0.001478 Loss_D_real: -0.013741 Loss_D_fake 0.007966
[1400/5000][60/535][144441] Loss_D: -0.020835 Loss_G: 0.012087 Loss_D_real: -0.029087 Loss_D_fake -0.008252
[1400/5000][65/535][144442] Loss_D: -0.019194 Loss_G: 0.000291 Loss_D_real: -0.011833 Loss_D_fake 0.007361
[1400/5000][70/535][144443] Loss_D: -0.019757 Loss_G: -0.008654 Loss_D_real: 0.007882 Loss_D_fake 0.027639
[1400/5000][75/535][144444] Loss_D: -0.019871 Loss_G: 0.021620 Loss_D_real: -0.018055 Loss_D_fake 0.001815
[1400/5000][80/535][144445] Loss_D: -0.019571 Loss_G: 0.011647 Loss_D_real: -0.018376 Loss_D_fake 0.001195
[1400/5000][85/535][144446] Loss_D: -0.021102 Loss_G: 0.005006 Loss_D_real: -0.003552 Loss_D_fake 0.017550
[1400/5000][90/535][144447] Loss_D: -0.019733 Loss_G: 0.029967 Loss_D_real: -0.025497 Loss_D_fake -0.005764
[1400/5000][95/535][144448] Loss_D: -0.020476 Loss_G: 0.020448 Loss_D_real: -0.016728 Loss_D_fake 0.003748
[1400/5000][100/535][144449] Loss_D: -0.022018 Loss_G: -0.003385 Loss_D_real: -0.016798 Loss_D_fake 0.005220
[1400/5000][105/535][144450] Loss_D: -0.019369 Loss_G: 0.005916 Loss_D_real: -0.013475 Loss_D_fake 0.005894
[1400/5000][110/535][144451] Loss_D: -0.019775 Loss_G: 0.017204 Loss_D_real: -0.022703 Loss_D_fake -0.002928
[1400/5000][115/535][144452] Loss_D: -0.020176 Loss_G: 0.003398 Loss_D_real: -0.004078 Loss_D_fake 0.016098
[1400/5000][120/535][144453] Loss_D: -0.020138 Loss_G: -0.001072 Loss_D_real: -0.010812 Loss_D_fake 0.009327
[1400/5000][125/535][144454] Loss_D: -0.019925 Loss_G: 0.024453 Loss_D_real: -0.018525 Loss_D_fake 0.001400
[1400/5000][130/535][144455] Loss_D: -0.020002 Loss_G: -0.017240 Loss_D_real: -0.003439 Loss_D_fake 0.016563
[1400/5000][135/535][144456] Loss_D: -0.020235 Loss_G: 0.006537 Loss_D_real: -0.021821 Loss_D_fake -0.001586
[1400/5000][140/535][144457] Loss_D: -0.017347 Loss_G: 0.032738 Loss_D_real: -0.030140 Loss_D_fake -0.012794
[1400/5000][145/535][144458] Loss_D: -0.020867 Loss_G: 0.017161 Loss_D_real: -0.025525 Loss_D_fake -0.004659
[1400/5000][150/535][144459] Loss_D: -0.019365 Loss_G: 0.015318 Loss_D_real: -0.019603 Loss_D_fake -0.000238
[1400/5000][155/535][144460] Loss_D: -0.020513 Loss_G: 0.007004 Loss_D_real: -0.006746 Loss_D_fake 0.013767
[1400/5000][160/535][144461] Loss_D: -0.019167 Loss_G: -0.006085 Loss_D_real: -0.008433 Loss_D_fake 0.010734
[1400/5000][165/535][144462] Loss_D: -0.019353 Loss_G: 0.000695 Loss_D_real: -0.011790 Loss_D_fake 0.007563
[1400/5000][170/535][144463] Loss_D: -0.019968 Loss_G: 0.007217 Loss_D_real: -0.005247 Loss_D_fake 0.014722
[1400/5000][175/535][144464] Loss_D: -0.020558 Loss_G: 0.024451 Loss_D_real: -0.017374 Loss_D_fake 0.003183
[1400/5000][180/535][144465] Loss_D: -0.020750 Loss_G: 0.005316 Loss_D_real: -0.020467 Loss_D_fake 0.000283
[1400/5000][185/535][144466] Loss_D: -0.021031 Loss_G: 0.023134 Loss_D_real: -0.015908 Loss_D_fake 0.005124
[1400/5000][190/535][144467] Loss_D: -0.021251 Loss_G: 0.022154 Loss_D_real: -0.017960 Loss_D_fake 0.003291
[1400/5000][195/535][144468] Loss_D: -0.019493 Loss_G: -0.010995 Loss_D_real: 0.000861 Loss_D_fake 0.020354
[1400/5000][200/535][144469] Loss_D: -0.020467 Loss_G: 0.012341 Loss_D_real: -0.023036 Loss_D_fake -0.002569
[1400/5000][205/535][144470] Loss_D: -0.021165 Loss_G: 0.007282 Loss_D_real: -0.024253 Loss_D_fake -0.003088
[1400/5000][210/535][144471] Loss_D: -0.021624 Loss_G: 0.013238 Loss_D_real: -0.027957 Loss_D_fake -0.006333
[1400/5000][215/535][144472] Loss_D: -0.019680 Loss_G: 0.007533 Loss_D_real: -0.002311 Loss_D_fake 0.017370
[1400/5000][220/535][144473] Loss_D: -0.019763 Loss_G: -0.004545 Loss_D_real: -0.015541 Loss_D_fake 0.004222
[1400/5000][225/535][144474] Loss_D: -0.020522 Loss_G: 0.012057 Loss_D_real: -0.010915 Loss_D_fake 0.009607
[1400/5000][230/535][144475] Loss_D: -0.019396 Loss_G: 0.002777 Loss_D_real: 0.001958 Loss_D_fake 0.021354
[1400/5000][235/535][144476] Loss_D: -0.019457 Loss_G: 0.010556 Loss_D_real: -0.021438 Loss_D_fake -0.001981
[1400/5000][240/535][144477] Loss_D: -0.019923 Loss_G: 0.000632 Loss_D_real: -0.020796 Loss_D_fake -0.000873
[1400/5000][245/535][144478] Loss_D: -0.018673 Loss_G: 0.011554 Loss_D_real: -0.012761 Loss_D_fake 0.005912
[1400/5000][250/535][144479] Loss_D: -0.020164 Loss_G: 0.022545 Loss_D_real: -0.022421 Loss_D_fake -0.002257
[1400/5000][255/535][144480] Loss_D: -0.019949 Loss_G: 0.020346 Loss_D_real: -0.013849 Loss_D_fake 0.006100
[1400/5000][260/535][144481] Loss_D: -0.019294 Loss_G: 0.022695 Loss_D_real: -0.023997 Loss_D_fake -0.004702
[1400/5000][265/535][144482] Loss_D: -0.020237 Loss_G: 0.020885 Loss_D_real: -0.025643 Loss_D_fake -0.005406
[1400/5000][270/535][144483] Loss_D: -0.020109 Loss_G: 0.020326 Loss_D_real: -0.003299 Loss_D_fake 0.016810
[1400/5000][275/535][144484] Loss_D: -0.020304 Loss_G: 0.004882 Loss_D_real: -0.025838 Loss_D_fake -0.005534
[1400/5000][280/535][144485] Loss_D: -0.019739 Loss_G: -0.003134 Loss_D_real: -0.003078 Loss_D_fake 0.016661
[1400/5000][285/535][144486] Loss_D: -0.019675 Loss_G: 0.008999 Loss_D_real: -0.018826 Loss_D_fake 0.000849
[1400/5000][290/535][144487] Loss_D: -0.017766 Loss_G: -0.024091 Loss_D_real: 0.013143 Loss_D_fake 0.030909
[1400/5000][295/535][144488] Loss_D: -0.019512 Loss_G: 0.019140 Loss_D_real: -0.022328 Loss_D_fake -0.002816
[1400/5000][300/535][144489] Loss_D: -0.021239 Loss_G: 0.016887 Loss_D_real: -0.011165 Loss_D_fake 0.010075
[1400/5000][305/535][144490] Loss_D: -0.018751 Loss_G: 0.003196 Loss_D_real: -0.016397 Loss_D_fake 0.002353
[1400/5000][310/535][144491] Loss_D: -0.019726 Loss_G: 0.024762 Loss_D_real: -0.026042 Loss_D_fake -0.006316
[1400/5000][315/535][144492] Loss_D: -0.020099 Loss_G: 0.000169 Loss_D_real: -0.021705 Loss_D_fake -0.001606
[1400/5000][320/535][144493] Loss_D: -0.019925 Loss_G: 0.000438 Loss_D_real: -0.008770 Loss_D_fake 0.011155
[1400/5000][325/535][144494] Loss_D: -0.021475 Loss_G: -0.001668 Loss_D_real: -0.011045 Loss_D_fake 0.010431
[1400/5000][330/535][144495] Loss_D: -0.019961 Loss_G: 0.007216 Loss_D_real: -0.012799 Loss_D_fake 0.007162
[1400/5000][335/535][144496] Loss_D: -0.020270 Loss_G: 0.005011 Loss_D_real: 0.001236 Loss_D_fake 0.021505
[1400/5000][340/535][144497] Loss_D: -0.020125 Loss_G: 0.008516 Loss_D_real: -0.011432 Loss_D_fake 0.008693
[1400/5000][345/535][144498] Loss_D: -0.020508 Loss_G: 0.020777 Loss_D_real: -0.023077 Loss_D_fake -0.002568
[1400/5000][350/535][144499] Loss_D: -0.019244 Loss_G: 0.010171 Loss_D_real: -0.015172 Loss_D_fake 0.004072
[1400/5000][355/535][144500] Loss_D: -0.020562 Loss_G: 0.017887 Loss_D_real: -0.012715 Loss_D_fake 0.007847
[1400/5000][455/535][144501] Loss_D: -0.022833 Loss_G: 0.038605 Loss_D_real: -0.042292 Loss_D_fake -0.019460
[1400/5000][460/535][144502] Loss_D: -0.016255 Loss_G: 0.032390 Loss_D_real: -0.024681 Loss_D_fake -0.008426
[1400/5000][465/535][144503] Loss_D: -0.019244 Loss_G: 0.019057 Loss_D_real: -0.024475 Loss_D_fake -0.005231
[1400/5000][470/535][144504] Loss_D: -0.018147 Loss_G: 0.003957 Loss_D_real: -0.007606 Loss_D_fake 0.010541
[1400/5000][475/535][144505] Loss_D: -0.019988 Loss_G: 0.013844 Loss_D_real: -0.003720 Loss_D_fake 0.016268
[1400/5000][480/535][144506] Loss_D: -0.018438 Loss_G: 0.003102 Loss_D_real: -0.018272 Loss_D_fake 0.000166
[1400/5000][485/535][144507] Loss_D: -0.017534 Loss_G: -0.003405 Loss_D_real: -0.002993 Loss_D_fake 0.014541
[1400/5000][490/535][144508] Loss_D: -0.017914 Loss_G: 0.029933 Loss_D_real: -0.024487 Loss_D_fake -0.006573
[1400/5000][495/535][144509] Loss_D: -0.019055 Loss_G: -0.015202 Loss_D_real: 0.003544 Loss_D_fake 0.022599
[1400/5000][500/535][144510] Loss_D: -0.019320 Loss_G: -0.001657 Loss_D_real: 0.001532 Loss_D_fake 0.020852
[1400/5000][505/535][144511] Loss_D: -0.019863 Loss_G: 0.013825 Loss_D_real: -0.004321 Loss_D_fake 0.015543
[1400/5000][510/535][144512] Loss_D: -0.020136 Loss_G: 0.012253 Loss_D_real: 0.001623 Loss_D_fake 0.021760
[1400/5000][515/535][144513] Loss_D: -0.018989 Loss_G: -0.004779 Loss_D_real: -0.000670 Loss_D_fake 0.018319
[1400/5000][520/535][144514] Loss_D: -0.019382 Loss_G: 0.017666 Loss_D_real: -0.008005 Loss_D_fake 0.011377
[1400/5000][525/535][144515] Loss_D: -0.019353 Loss_G: 0.016480 Loss_D_real: -0.018047 Loss_D_fake 0.001306
[1400/5000][530/535][144516] Loss_D: -0.019006 Loss_G: 0.003388 Loss_D_real: -0.013354 Loss_D_fake 0.005652
[1400/5000][535/535][144517] Loss_D: -0.016586 Loss_G: 0.002474 Loss_D_real: -0.025136 Loss_D_fake -0.008550
[1401/5000][5/535][144518] Loss_D: -0.020997 Loss_G: 0.008047 Loss_D_real: -0.015380 Loss_D_fake 0.005616
[1401/5000][10/535][144519] Loss_D: -0.018876 Loss_G: 0.002362 Loss_D_real: -0.011216 Loss_D_fake 0.007661
[1401/5000][15/535][144520] Loss_D: -0.019742 Loss_G: 0.006716 Loss_D_real: -0.009977 Loss_D_fake 0.009765
[1401/5000][20/535][144521] Loss_D: -0.019800 Loss_G: 0.012768 Loss_D_real: -0.013623 Loss_D_fake 0.006176
[1401/5000][25/535][144522] Loss_D: -0.019401 Loss_G: 0.006551 Loss_D_real: -0.027663 Loss_D_fake -0.008262
[1401/5000][30/535][144523] Loss_D: -0.017070 Loss_G: 0.019085 Loss_D_real: -0.024675 Loss_D_fake -0.007604
[1401/5000][35/535][144524] Loss_D: -0.018957 Loss_G: 0.011083 Loss_D_real: -0.026984 Loss_D_fake -0.008026
[1401/5000][40/535][144525] Loss_D: -0.018763 Loss_G: -0.007102 Loss_D_real: -0.010642 Loss_D_fake 0.008121
[1401/5000][45/535][144526] Loss_D: -0.019649 Loss_G: 0.020345 Loss_D_real: -0.013142 Loss_D_fake 0.006507
[1401/5000][50/535][144527] Loss_D: -0.018528 Loss_G: 0.006669 Loss_D_real: -0.008875 Loss_D_fake 0.009653
[1401/5000][55/535][144528] Loss_D: -0.019941 Loss_G: 0.007903 Loss_D_real: -0.002147 Loss_D_fake 0.017794
[1401/5000][60/535][144529] Loss_D: -0.019957 Loss_G: 0.000046 Loss_D_real: -0.012232 Loss_D_fake 0.007725
[1401/5000][65/535][144530] Loss_D: -0.020496 Loss_G: 0.007153 Loss_D_real: -0.015095 Loss_D_fake 0.005401
[1401/5000][70/535][144531] Loss_D: -0.020764 Loss_G: 0.023004 Loss_D_real: -0.016748 Loss_D_fake 0.004015
[1401/5000][75/535][144532] Loss_D: -0.020070 Loss_G: -0.005289 Loss_D_real: -0.003833 Loss_D_fake 0.016237
[1401/5000][80/535][144533] Loss_D: -0.020960 Loss_G: 0.013672 Loss_D_real: -0.017804 Loss_D_fake 0.003156
[1401/5000][85/535][144534] Loss_D: -0.021436 Loss_G: 0.009534 Loss_D_real: -0.005159 Loss_D_fake 0.016277
[1401/5000][90/535][144535] Loss_D: -0.019967 Loss_G: 0.018562 Loss_D_real: -0.013173 Loss_D_fake 0.006793
[1401/5000][95/535][144536] Loss_D: -0.020759 Loss_G: -0.004997 Loss_D_real: -0.004587 Loss_D_fake 0.016173
[1401/5000][100/535][144537] Loss_D: -0.019355 Loss_G: -0.003380 Loss_D_real: -0.017260 Loss_D_fake 0.002095
[1401/5000][105/535][144538] Loss_D: -0.021159 Loss_G: -0.016876 Loss_D_real: -0.008098 Loss_D_fake 0.013061
[1401/5000][110/535][144539] Loss_D: -0.020684 Loss_G: 0.001720 Loss_D_real: -0.019408 Loss_D_fake 0.001276
[1401/5000][115/535][144540] Loss_D: -0.021694 Loss_G: 0.018268 Loss_D_real: -0.014902 Loss_D_fake 0.006792
[1401/5000][120/535][144541] Loss_D: -0.020762 Loss_G: 0.010889 Loss_D_real: -0.018813 Loss_D_fake 0.001949
[1401/5000][125/535][144542] Loss_D: -0.021062 Loss_G: 0.004301 Loss_D_real: -0.012381 Loss_D_fake 0.008681
[1401/5000][130/535][144543] Loss_D: -0.020609 Loss_G: 0.008752 Loss_D_real: -0.011759 Loss_D_fake 0.008850
[1401/5000][135/535][144544] Loss_D: -0.021030 Loss_G: 0.024244 Loss_D_real: -0.016805 Loss_D_fake 0.004225
[1401/5000][140/535][144545] Loss_D: -0.018927 Loss_G: 0.009636 Loss_D_real: -0.012032 Loss_D_fake 0.006894
[1401/5000][145/535][144546] Loss_D: -0.020596 Loss_G: 0.009527 Loss_D_real: -0.024820 Loss_D_fake -0.004224
[1401/5000][150/535][144547] Loss_D: -0.019171 Loss_G: -0.005398 Loss_D_real: 0.001133 Loss_D_fake 0.020304
[1401/5000][155/535][144548] Loss_D: -0.019800 Loss_G: 0.000125 Loss_D_real: -0.005515 Loss_D_fake 0.014286
[1401/5000][160/535][144549] Loss_D: -0.018886 Loss_G: 0.028094 Loss_D_real: -0.023181 Loss_D_fake -0.004295
[1401/5000][165/535][144550] Loss_D: -0.019742 Loss_G: -0.005990 Loss_D_real: -0.001812 Loss_D_fake 0.017929
[1401/5000][170/535][144551] Loss_D: -0.020161 Loss_G: 0.015737 Loss_D_real: -0.012427 Loss_D_fake 0.007735
[1401/5000][175/535][144552] Loss_D: -0.019263 Loss_G: 0.008686 Loss_D_real: -0.015625 Loss_D_fake 0.003637
[1401/5000][180/535][144553] Loss_D: -0.019779 Loss_G: 0.006844 Loss_D_real: -0.013024 Loss_D_fake 0.006754
[1401/5000][185/535][144554] Loss_D: -0.019408 Loss_G: -0.013885 Loss_D_real: -0.005222 Loss_D_fake 0.014186
[1401/5000][190/535][144555] Loss_D: -0.017693 Loss_G: 0.018012 Loss_D_real: -0.014925 Loss_D_fake 0.002768
[1401/5000][195/535][144556] Loss_D: -0.020739 Loss_G: 0.007168 Loss_D_real: -0.014894 Loss_D_fake 0.005846
[1401/5000][200/535][144557] Loss_D: -0.020340 Loss_G: 0.002160 Loss_D_real: -0.026243 Loss_D_fake -0.005903
[1401/5000][205/535][144558] Loss_D: -0.020863 Loss_G: 0.005642 Loss_D_real: -0.019648 Loss_D_fake 0.001216
[1401/5000][210/535][144559] Loss_D: -0.020024 Loss_G: 0.002957 Loss_D_real: -0.018093 Loss_D_fake 0.001931
[1401/5000][215/535][144560] Loss_D: -0.019660 Loss_G: 0.024262 Loss_D_real: -0.024043 Loss_D_fake -0.004382
[1401/5000][220/535][144561] Loss_D: -0.019129 Loss_G: 0.030792 Loss_D_real: -0.020397 Loss_D_fake -0.001269
[1401/5000][225/535][144562] Loss_D: -0.021263 Loss_G: -0.003853 Loss_D_real: -0.021571 Loss_D_fake -0.000308
[1401/5000][230/535][144563] Loss_D: -0.017805 Loss_G: 0.035942 Loss_D_real: -0.029669 Loss_D_fake -0.011864
[1401/5000][235/535][144564] Loss_D: -0.021090 Loss_G: 0.008449 Loss_D_real: -0.015721 Loss_D_fake 0.005369
[1401/5000][240/535][144565] Loss_D: -0.020383 Loss_G: 0.017209 Loss_D_real: -0.030267 Loss_D_fake -0.009884
[1401/5000][245/535][144566] Loss_D: -0.020248 Loss_G: 0.013762 Loss_D_real: -0.003665 Loss_D_fake 0.016583
[1401/5000][250/535][144567] Loss_D: -0.020029 Loss_G: 0.001555 Loss_D_real: -0.017310 Loss_D_fake 0.002719
[1401/5000][255/535][144568] Loss_D: -0.019787 Loss_G: 0.016532 Loss_D_real: -0.011763 Loss_D_fake 0.008024
[1401/5000][260/535][144569] Loss_D: -0.017934 Loss_G: -0.011974 Loss_D_real: 0.003155 Loss_D_fake 0.021089
[1401/5000][265/535][144570] Loss_D: -0.018198 Loss_G: 0.039421 Loss_D_real: -0.027375 Loss_D_fake -0.009176
[1401/5000][270/535][144571] Loss_D: -0.019821 Loss_G: -0.005476 Loss_D_real: -0.021069 Loss_D_fake -0.001248
[1401/5000][275/535][144572] Loss_D: -0.018851 Loss_G: 0.029121 Loss_D_real: -0.029174 Loss_D_fake -0.010323
[1401/5000][280/535][144573] Loss_D: -0.020077 Loss_G: 0.014654 Loss_D_real: -0.014342 Loss_D_fake 0.005734
[1401/5000][285/535][144574] Loss_D: -0.020150 Loss_G: 0.006031 Loss_D_real: -0.005812 Loss_D_fake 0.014338
[1401/5000][290/535][144575] Loss_D: -0.020017 Loss_G: 0.010970 Loss_D_real: -0.010121 Loss_D_fake 0.009896
[1401/5000][295/535][144576] Loss_D: -0.019470 Loss_G: 0.014851 Loss_D_real: -0.038334 Loss_D_fake -0.018864
[1401/5000][300/535][144577] Loss_D: -0.020191 Loss_G: -0.000553 Loss_D_real: -0.001505 Loss_D_fake 0.018686
[1401/5000][305/535][144578] Loss_D: -0.019138 Loss_G: 0.000597 Loss_D_real: -0.002354 Loss_D_fake 0.016785
[1401/5000][310/535][144579] Loss_D: -0.019827 Loss_G: 0.007149 Loss_D_real: -0.016510 Loss_D_fake 0.003317
[1401/5000][315/535][144580] Loss_D: -0.019976 Loss_G: 0.022001 Loss_D_real: -0.017606 Loss_D_fake 0.002369
[1401/5000][320/535][144581] Loss_D: -0.019950 Loss_G: 0.000545 Loss_D_real: -0.010503 Loss_D_fake 0.009446
[1401/5000][325/535][144582] Loss_D: -0.020053 Loss_G: 0.021482 Loss_D_real: -0.024764 Loss_D_fake -0.004711
[1401/5000][330/535][144583] Loss_D: -0.019163 Loss_G: 0.009433 Loss_D_real: -0.016058 Loss_D_fake 0.003106
[1401/5000][335/535][144584] Loss_D: -0.020341 Loss_G: 0.015029 Loss_D_real: -0.013405 Loss_D_fake 0.006936
[1401/5000][340/535][144585] Loss_D: -0.020575 Loss_G: 0.013476 Loss_D_real: -0.009490 Loss_D_fake 0.011086
[1401/5000][345/535][144586] Loss_D: -0.021188 Loss_G: 0.010371 Loss_D_real: -0.013016 Loss_D_fake 0.008172
[1401/5000][350/535][144587] Loss_D: -0.021181 Loss_G: -0.004293 Loss_D_real: -0.009374 Loss_D_fake 0.011807
[1401/5000][355/535][144588] Loss_D: -0.020624 Loss_G: 0.007219 Loss_D_real: -0.027689 Loss_D_fake -0.007065
[1401/5000][360/535][144589] Loss_D: -0.020227 Loss_G: 0.022147 Loss_D_real: -0.012258 Loss_D_fake 0.007969
[1401/5000][365/535][144590] Loss_D: -0.019440 Loss_G: 0.004006 Loss_D_real: -0.004414 Loss_D_fake 0.015025
[1401/5000][370/535][144591] Loss_D: -0.019965 Loss_G: 0.015469 Loss_D_real: -0.015794 Loss_D_fake 0.004171
[1401/5000][375/535][144592] Loss_D: -0.018552 Loss_G: 0.001939 Loss_D_real: -0.000294 Loss_D_fake 0.018257
[1401/5000][380/535][144593] Loss_D: -0.020734 Loss_G: 0.016026 Loss_D_real: -0.021939 Loss_D_fake -0.001205
[1401/5000][385/535][144594] Loss_D: -0.019908 Loss_G: 0.006763 Loss_D_real: 0.000347 Loss_D_fake 0.020255
[1401/5000][390/535][144595] Loss_D: -0.020213 Loss_G: 0.018682 Loss_D_real: -0.011585 Loss_D_fake 0.008627
[1401/5000][395/535][144596] Loss_D: -0.017778 Loss_G: 0.017825 Loss_D_real: -0.038708 Loss_D_fake -0.020930
[1401/5000][400/535][144597] Loss_D: -0.018500 Loss_G: 0.012768 Loss_D_real: -0.010050 Loss_D_fake 0.008450
[1401/5000][405/535][144598] Loss_D: -0.020023 Loss_G: 0.016151 Loss_D_real: -0.026294 Loss_D_fake -0.006271
[1401/5000][410/535][144599] Loss_D: -0.020694 Loss_G: 0.022424 Loss_D_real: -0.018363 Loss_D_fake 0.002331
[1401/5000][415/535][144600] Loss_D: -0.019559 Loss_G: 0.012376 Loss_D_real: -0.023466 Loss_D_fake -0.003908
[1401/5000][420/535][144601] Loss_D: -0.018510 Loss_G: 0.029686 Loss_D_real: -0.029708 Loss_D_fake -0.011199
[1401/5000][425/535][144602] Loss_D: -0.018713 Loss_G: 0.014041 Loss_D_real: -0.016629 Loss_D_fake 0.002085
[1401/5000][430/535][144603] Loss_D: -0.019137 Loss_G: -0.008862 Loss_D_real: -0.013245 Loss_D_fake 0.005891
[1401/5000][435/535][144604] Loss_D: -0.019667 Loss_G: 0.016563 Loss_D_real: -0.015781 Loss_D_fake 0.003885
[1401/5000][440/535][144605] Loss_D: -0.020296 Loss_G: 0.000502 Loss_D_real: -0.021419 Loss_D_fake -0.001122
[1401/5000][445/535][144606] Loss_D: -0.017879 Loss_G: -0.005507 Loss_D_real: 0.012215 Loss_D_fake 0.030094
[1401/5000][450/535][144607] Loss_D: -0.019724 Loss_G: 0.001898 Loss_D_real: -0.010969 Loss_D_fake 0.008755
[1401/5000][455/535][144608] Loss_D: -0.020937 Loss_G: 0.006696 Loss_D_real: -0.010170 Loss_D_fake 0.010767
[1401/5000][460/535][144609] Loss_D: -0.019561 Loss_G: 0.026867 Loss_D_real: -0.026054 Loss_D_fake -0.006493
[1401/5000][465/535][144610] Loss_D: -0.019449 Loss_G: -0.004935 Loss_D_real: -0.004292 Loss_D_fake 0.015157
[1401/5000][470/535][144611] Loss_D: -0.020595 Loss_G: 0.004459 Loss_D_real: -0.011400 Loss_D_fake 0.009195
[1401/5000][475/535][144612] Loss_D: -0.020373 Loss_G: 0.026715 Loss_D_real: -0.027424 Loss_D_fake -0.007051
[1401/5000][480/535][144613] Loss_D: -0.019485 Loss_G: -0.001181 Loss_D_real: -0.014084 Loss_D_fake 0.005402
[1401/5000][485/535][144614] Loss_D: -0.020949 Loss_G: 0.020545 Loss_D_real: -0.016970 Loss_D_fake 0.003979
[1401/5000][490/535][144615] Loss_D: -0.019124 Loss_G: 0.004292 Loss_D_real: -0.013743 Loss_D_fake 0.005381
[1401/5000][495/535][144616] Loss_D: -0.018406 Loss_G: 0.031112 Loss_D_real: -0.035194 Loss_D_fake -0.016788
[1401/5000][500/535][144617] Loss_D: -0.020257 Loss_G: 0.000258 Loss_D_real: -0.018118 Loss_D_fake 0.002139
[1401/5000][505/535][144618] Loss_D: -0.019988 Loss_G: -0.002754 Loss_D_real: -0.000527 Loss_D_fake 0.019461
[1401/5000][510/535][144619] Loss_D: -0.018490 Loss_G: 0.008493 Loss_D_real: -0.026190 Loss_D_fake -0.007700
[1401/5000][515/535][144620] Loss_D: -0.019653 Loss_G: 0.014325 Loss_D_real: -0.022061 Loss_D_fake -0.002408
[1401/5000][520/535][144621] Loss_D: -0.019921 Loss_G: -0.008383 Loss_D_real: -0.006111 Loss_D_fake 0.013809
[1401/5000][525/535][144622] Loss_D: -0.020216 Loss_G: -0.002914 Loss_D_real: -0.002726 Loss_D_fake 0.017490
[1401/5000][530/535][144623] Loss_D: -0.017815 Loss_G: 0.027474 Loss_D_real: -0.036925 Loss_D_fake -0.019111
[1401/5000][535/535][144624] Loss_D: -0.023588 Loss_G: 0.044915 Loss_D_real: -0.021868 Loss_D_fake 0.001720
[1402/5000][5/535][144625] Loss_D: -0.019077 Loss_G: -0.004985 Loss_D_real: -0.009839 Loss_D_fake 0.009238
[1402/5000][10/535][144626] Loss_D: -0.019757 Loss_G: -0.009339 Loss_D_real: 0.002415 Loss_D_fake 0.022172
[1402/5000][15/535][144627] Loss_D: -0.019966 Loss_G: 0.014983 Loss_D_real: -0.028933 Loss_D_fake -0.008967
[1402/5000][20/535][144628] Loss_D: -0.020141 Loss_G: 0.000293 Loss_D_real: -0.020626 Loss_D_fake -0.000485
[1402/5000][25/535][144629] Loss_D: -0.017991 Loss_G: 0.034616 Loss_D_real: -0.026142 Loss_D_fake -0.008151
[1402/5000][30/535][144630] Loss_D: -0.020301 Loss_G: -0.000365 Loss_D_real: -0.011395 Loss_D_fake 0.008905
[1402/5000][35/535][144631] Loss_D: -0.019493 Loss_G: 0.003517 Loss_D_real: -0.004853 Loss_D_fake 0.014640
[1402/5000][40/535][144632] Loss_D: -0.019773 Loss_G: -0.004369 Loss_D_real: 0.001166 Loss_D_fake 0.020938
[1402/5000][45/535][144633] Loss_D: -0.018262 Loss_G: -0.005263 Loss_D_real: -0.000723 Loss_D_fake 0.017539
[1402/5000][50/535][144634] Loss_D: -0.020254 Loss_G: 0.007700 Loss_D_real: -0.009868 Loss_D_fake 0.010385
[1402/5000][55/535][144635] Loss_D: -0.019210 Loss_G: 0.011318 Loss_D_real: -0.017189 Loss_D_fake 0.002021
[1402/5000][60/535][144636] Loss_D: -0.020683 Loss_G: 0.010992 Loss_D_real: -0.011109 Loss_D_fake 0.009574
[1402/5000][65/535][144637] Loss_D: -0.019451 Loss_G: -0.007873 Loss_D_real: 0.005241 Loss_D_fake 0.024692
[1402/5000][70/535][144638] Loss_D: -0.021017 Loss_G: 0.014248 Loss_D_real: -0.012771 Loss_D_fake 0.008246
[1402/5000][75/535][144639] Loss_D: -0.021160 Loss_G: 0.005902 Loss_D_real: -0.006720 Loss_D_fake 0.014439
[1402/5000][80/535][144640] Loss_D: -0.018746 Loss_G: 0.023943 Loss_D_real: -0.021486 Loss_D_fake -0.002739
[1402/5000][85/535][144641] Loss_D: -0.020009 Loss_G: 0.014491 Loss_D_real: -0.026633 Loss_D_fake -0.006625
[1402/5000][90/535][144642] Loss_D: -0.021154 Loss_G: 0.005452 Loss_D_real: -0.018150 Loss_D_fake 0.003004
[1402/5000][95/535][144643] Loss_D: -0.020450 Loss_G: 0.021511 Loss_D_real: -0.020279 Loss_D_fake 0.000171
[1402/5000][100/535][144644] Loss_D: -0.019509 Loss_G: -0.005771 Loss_D_real: 0.002591 Loss_D_fake 0.022100
[1402/5000][105/535][144645] Loss_D: -0.019496 Loss_G: 0.014251 Loss_D_real: -0.025494 Loss_D_fake -0.005997
[1402/5000][110/535][144646] Loss_D: -0.020542 Loss_G: -0.002806 Loss_D_real: -0.014613 Loss_D_fake 0.005929
[1402/5000][115/535][144647] Loss_D: -0.021545 Loss_G: 0.015430 Loss_D_real: -0.026948 Loss_D_fake -0.005403
[1402/5000][120/535][144648] Loss_D: -0.018647 Loss_G: 0.009677 Loss_D_real: -0.004714 Loss_D_fake 0.013933
[1402/5000][125/535][144649] Loss_D: -0.018133 Loss_G: 0.017636 Loss_D_real: -0.017863 Loss_D_fake 0.000271
[1402/5000][130/535][144650] Loss_D: -0.019697 Loss_G: 0.005328 Loss_D_real: -0.013440 Loss_D_fake 0.006257
[1402/5000][135/535][144651] Loss_D: -0.018313 Loss_G: -0.005829 Loss_D_real: -0.004084 Loss_D_fake 0.014229
[1402/5000][140/535][144652] Loss_D: -0.019837 Loss_G: -0.005751 Loss_D_real: -0.016180 Loss_D_fake 0.003657
[1402/5000][145/535][144653] Loss_D: -0.018795 Loss_G: 0.006625 Loss_D_real: -0.012987 Loss_D_fake 0.005808
[1402/5000][150/535][144654] Loss_D: -0.019158 Loss_G: 0.003801 Loss_D_real: -0.019371 Loss_D_fake -0.000213
[1402/5000][155/535][144655] Loss_D: -0.020803 Loss_G: 0.009438 Loss_D_real: -0.012454 Loss_D_fake 0.008349
[1402/5000][160/535][144656] Loss_D: -0.019201 Loss_G: 0.014090 Loss_D_real: -0.017312 Loss_D_fake 0.001890
[1402/5000][165/535][144657] Loss_D: -0.019653 Loss_G: 0.008321 Loss_D_real: -0.035241 Loss_D_fake -0.015588
[1402/5000][170/535][144658] Loss_D: -0.020014 Loss_G: 0.000112 Loss_D_real: -0.005193 Loss_D_fake 0.014821
[1402/5000][175/535][144659] Loss_D: -0.020254 Loss_G: 0.021855 Loss_D_real: -0.025974 Loss_D_fake -0.005719
[1402/5000][180/535][144660] Loss_D: -0.020668 Loss_G: 0.005264 Loss_D_real: -0.013418 Loss_D_fake 0.007250
[1402/5000][185/535][144661] Loss_D: -0.021866 Loss_G: -0.005237 Loss_D_real: -0.005423 Loss_D_fake 0.016443
[1402/5000][190/535][144662] Loss_D: -0.021191 Loss_G: -0.005477 Loss_D_real: -0.013935 Loss_D_fake 0.007255
[1402/5000][195/535][144663] Loss_D: -0.020433 Loss_G: 0.027943 Loss_D_real: -0.024234 Loss_D_fake -0.003801
[1402/5000][200/535][144664] Loss_D: -0.019380 Loss_G: -0.002875 Loss_D_real: -0.005460 Loss_D_fake 0.013920
[1402/5000][205/535][144665] Loss_D: -0.018198 Loss_G: 0.021799 Loss_D_real: -0.033286 Loss_D_fake -0.015088
[1402/5000][210/535][144666] Loss_D: -0.020021 Loss_G: -0.004492 Loss_D_real: -0.009411 Loss_D_fake 0.010610
[1402/5000][215/535][144667] Loss_D: -0.019476 Loss_G: -0.007155 Loss_D_real: 0.001482 Loss_D_fake 0.020958
[1402/5000][220/535][144668] Loss_D: -0.019071 Loss_G: 0.005764 Loss_D_real: -0.019205 Loss_D_fake -0.000134
[1402/5000][225/535][144669] Loss_D: -0.019803 Loss_G: 0.012869 Loss_D_real: -0.018620 Loss_D_fake 0.001183
[1402/5000][230/535][144670] Loss_D: -0.019985 Loss_G: 0.018842 Loss_D_real: -0.021538 Loss_D_fake -0.001554
[1402/5000][235/535][144671] Loss_D: -0.020177 Loss_G: -0.006908 Loss_D_real: -0.015405 Loss_D_fake 0.004772
[1402/5000][240/535][144672] Loss_D: -0.020997 Loss_G: 0.009434 Loss_D_real: -0.019375 Loss_D_fake 0.001621
[1402/5000][245/535][144673] Loss_D: -0.020180 Loss_G: 0.001258 Loss_D_real: -0.007884 Loss_D_fake 0.012296
[1402/5000][250/535][144674] Loss_D: -0.021143 Loss_G: 0.027749 Loss_D_real: -0.025515 Loss_D_fake -0.004372
[1402/5000][255/535][144675] Loss_D: -0.021602 Loss_G: -0.004300 Loss_D_real: -0.024400 Loss_D_fake -0.002798
[1402/5000][260/535][144676] Loss_D: -0.020655 Loss_G: 0.017259 Loss_D_real: -0.019158 Loss_D_fake 0.001496
[1402/5000][265/535][144677] Loss_D: -0.020581 Loss_G: 0.013280 Loss_D_real: -0.003813 Loss_D_fake 0.016767
[1402/5000][270/535][144678] Loss_D: -0.020995 Loss_G: -0.005041 Loss_D_real: -0.011982 Loss_D_fake 0.009013
[1402/5000][275/535][144679] Loss_D: -0.021026 Loss_G: 0.006468 Loss_D_real: -0.029417 Loss_D_fake -0.008391
[1402/5000][280/535][144680] Loss_D: -0.020830 Loss_G: 0.006608 Loss_D_real: -0.012685 Loss_D_fake 0.008145
[1402/5000][285/535][144681] Loss_D: -0.019875 Loss_G: 0.008959 Loss_D_real: -0.013024 Loss_D_fake 0.006851
[1402/5000][290/535][144682] Loss_D: -0.020188 Loss_G: 0.012291 Loss_D_real: -0.028530 Loss_D_fake -0.008342
[1402/5000][295/535][144683] Loss_D: -0.019812 Loss_G: 0.005135 Loss_D_real: -0.024749 Loss_D_fake -0.004937
[1402/5000][300/535][144684] Loss_D: -0.021400 Loss_G: 0.001667 Loss_D_real: -0.010320 Loss_D_fake 0.011079
[1402/5000][305/535][144685] Loss_D: -0.018967 Loss_G: 0.017388 Loss_D_real: -0.022180 Loss_D_fake -0.003213
[1402/5000][310/535][144686] Loss_D: -0.020231 Loss_G: 0.020448 Loss_D_real: -0.030548 Loss_D_fake -0.010316
[1402/5000][315/535][144687] Loss_D: -0.019897 Loss_G: 0.007894 Loss_D_real: -0.024635 Loss_D_fake -0.004737
[1402/5000][320/535][144688] Loss_D: -0.019703 Loss_G: -0.010102 Loss_D_real: -0.002373 Loss_D_fake 0.017330
[1402/5000][325/535][144689] Loss_D: -0.019742 Loss_G: 0.011424 Loss_D_real: 0.000551 Loss_D_fake 0.020293
[1402/5000][330/535][144690] Loss_D: -0.019902 Loss_G: 0.012513 Loss_D_real: -0.028839 Loss_D_fake -0.008937
[1402/5000][335/535][144691] Loss_D: -0.018456 Loss_G: -0.006784 Loss_D_real: -0.007385 Loss_D_fake 0.011072
[1402/5000][340/535][144692] Loss_D: -0.019112 Loss_G: 0.010385 Loss_D_real: -0.024801 Loss_D_fake -0.005689
[1402/5000][345/535][144693] Loss_D: -0.020218 Loss_G: 0.010057 Loss_D_real: -0.012454 Loss_D_fake 0.007764
[1402/5000][350/535][144694] Loss_D: -0.018959 Loss_G: -0.004525 Loss_D_real: -0.004617 Loss_D_fake 0.014343
[1402/5000][355/535][144695] Loss_D: -0.019473 Loss_G: 0.002266 Loss_D_real: -0.017674 Loss_D_fake 0.001799
[1402/5000][360/535][144696] Loss_D: -0.019456 Loss_G: 0.024099 Loss_D_real: -0.018307 Loss_D_fake 0.001149
[1402/5000][365/535][144697] Loss_D: -0.019880 Loss_G: -0.010011 Loss_D_real: -0.003177 Loss_D_fake 0.016703
[1402/5000][370/535][144698] Loss_D: -0.019767 Loss_G: 0.023643 Loss_D_real: -0.021322 Loss_D_fake -0.001555
[1402/5000][375/535][144699] Loss_D: -0.020100 Loss_G: 0.006310 Loss_D_real: -0.013394 Loss_D_fake 0.006706
[1402/5000][380/535][144700] Loss_D: -0.019757 Loss_G: 0.006199 Loss_D_real: -0.013500 Loss_D_fake 0.006257
[1402/5000][385/535][144701] Loss_D: -0.019796 Loss_G: 0.018992 Loss_D_real: -0.024526 Loss_D_fake -0.004730
[1402/5000][390/535][144702] Loss_D: -0.020371 Loss_G: -0.019900 Loss_D_real: -0.002107 Loss_D_fake 0.018264
[1402/5000][395/535][144703] Loss_D: -0.021064 Loss_G: 0.014437 Loss_D_real: -0.021346 Loss_D_fake -0.000282
[1402/5000][400/535][144704] Loss_D: -0.020181 Loss_G: 0.007694 Loss_D_real: -0.022098 Loss_D_fake -0.001916
[1402/5000][405/535][144705] Loss_D: -0.019381 Loss_G: 0.004058 Loss_D_real: -0.014327 Loss_D_fake 0.005054
[1402/5000][410/535][144706] Loss_D: -0.020279 Loss_G: -0.009744 Loss_D_real: -0.009990 Loss_D_fake 0.010289
[1402/5000][415/535][144707] Loss_D: -0.019562 Loss_G: 0.005320 Loss_D_real: -0.008007 Loss_D_fake 0.011554
[1402/5000][420/535][144708] Loss_D: -0.019731 Loss_G: 0.000052 Loss_D_real: -0.004821 Loss_D_fake 0.014911
[1402/5000][425/535][144709] Loss_D: -0.019504 Loss_G: 0.020141 Loss_D_real: -0.028720 Loss_D_fake -0.009216
[1402/5000][430/535][144710] Loss_D: -0.020368 Loss_G: 0.001254 Loss_D_real: -0.018409 Loss_D_fake 0.001959
[1402/5000][435/535][144711] Loss_D: -0.018171 Loss_G: 0.004030 Loss_D_real: -0.008348 Loss_D_fake 0.009823
[1402/5000][440/535][144712] Loss_D: -0.019468 Loss_G: 0.010800 Loss_D_real: -0.032386 Loss_D_fake -0.012918
[1402/5000][445/535][144713] Loss_D: -0.020976 Loss_G: 0.000785 Loss_D_real: -0.005305 Loss_D_fake 0.015671
[1402/5000][450/535][144714] Loss_D: -0.021074 Loss_G: 0.003513 Loss_D_real: -0.025749 Loss_D_fake -0.004676
[1402/5000][455/535][144715] Loss_D: -0.019308 Loss_G: 0.026418 Loss_D_real: -0.032025 Loss_D_fake -0.012717
[1402/5000][460/535][144716] Loss_D: -0.020184 Loss_G: -0.003007 Loss_D_real: -0.001370 Loss_D_fake 0.018815
[1402/5000][465/535][144717] Loss_D: -0.020499 Loss_G: 0.012751 Loss_D_real: -0.023238 Loss_D_fake -0.002738
[1402/5000][470/535][144718] Loss_D: -0.019897 Loss_G: 0.027880 Loss_D_real: -0.030436 Loss_D_fake -0.010539
[1402/5000][475/535][144719] Loss_D: -0.020679 Loss_G: 0.007933 Loss_D_real: -0.030108 Loss_D_fake -0.009429
[1402/5000][480/535][144720] Loss_D: -0.020146 Loss_G: 0.015857 Loss_D_real: -0.021402 Loss_D_fake -0.001256
[1402/5000][485/535][144721] Loss_D: -0.020245 Loss_G: -0.006637 Loss_D_real: -0.006321 Loss_D_fake 0.013924
[1402/5000][490/535][144722] Loss_D: -0.020204 Loss_G: 0.018737 Loss_D_real: -0.021583 Loss_D_fake -0.001379
[1402/5000][495/535][144723] Loss_D: -0.020253 Loss_G: 0.000829 Loss_D_real: -0.019950 Loss_D_fake 0.000303
[1402/5000][500/535][144724] Loss_D: -0.019009 Loss_G: 0.009570 Loss_D_real: -0.015231 Loss_D_fake 0.003778
[1402/5000][505/535][144725] Loss_D: -0.020344 Loss_G: -0.007772 Loss_D_real: -0.012462 Loss_D_fake 0.007882
[1402/5000][510/535][144726] Loss_D: -0.018508 Loss_G: 0.019119 Loss_D_real: -0.018694 Loss_D_fake -0.000186
[1402/5000][515/535][144727] Loss_D: -0.020517 Loss_G: 0.015258 Loss_D_real: -0.016994 Loss_D_fake 0.003523
[1402/5000][520/535][144728] Loss_D: -0.020174 Loss_G: 0.010878 Loss_D_real: -0.007268 Loss_D_fake 0.012905
[1402/5000][525/535][144729] Loss_D: -0.020821 Loss_G: -0.000956 Loss_D_real: -0.010219 Loss_D_fake 0.010602
[1402/5000][530/535][144730] Loss_D: -0.020644 Loss_G: -0.007384 Loss_D_real: -0.018687 Loss_D_fake 0.001956
[1402/5000][535/535][144731] Loss_D: -0.020597 Loss_G: 0.006267 Loss_D_real: -0.026668 Loss_D_fake -0.006071
[1403/5000][5/535][144732] Loss_D: -0.020364 Loss_G: 0.014892 Loss_D_real: -0.019394 Loss_D_fake 0.000970
[1403/5000][10/535][144733] Loss_D: -0.017732 Loss_G: 0.021687 Loss_D_real: -0.031771 Loss_D_fake -0.014039
[1403/5000][15/535][144734] Loss_D: -0.018418 Loss_G: -0.016697 Loss_D_real: 0.004322 Loss_D_fake 0.022740
[1403/5000][20/535][144735] Loss_D: -0.019462 Loss_G: 0.020812 Loss_D_real: -0.019230 Loss_D_fake 0.000232
[1403/5000][25/535][144736] Loss_D: -0.021218 Loss_G: 0.011735 Loss_D_real: -0.009780 Loss_D_fake 0.011439
[1403/5000][30/535][144737] Loss_D: -0.019539 Loss_G: 0.012920 Loss_D_real: -0.023649 Loss_D_fake -0.004110
[1403/5000][35/535][144738] Loss_D: -0.019350 Loss_G: 0.017101 Loss_D_real: -0.030025 Loss_D_fake -0.010676
[1403/5000][40/535][144739] Loss_D: -0.020827 Loss_G: 0.007532 Loss_D_real: -0.019832 Loss_D_fake 0.000995
[1403/5000][45/535][144740] Loss_D: -0.020708 Loss_G: 0.003758 Loss_D_real: -0.011902 Loss_D_fake 0.008805
[1403/5000][50/535][144741] Loss_D: -0.020792 Loss_G: 0.004022 Loss_D_real: -0.008827 Loss_D_fake 0.011965
[1403/5000][55/535][144742] Loss_D: -0.020135 Loss_G: 0.003416 Loss_D_real: -0.018877 Loss_D_fake 0.001258
[1403/5000][60/535][144743] Loss_D: -0.019699 Loss_G: 0.023213 Loss_D_real: -0.030983 Loss_D_fake -0.011284
[1403/5000][65/535][144744] Loss_D: -0.018844 Loss_G: 0.024605 Loss_D_real: -0.025519 Loss_D_fake -0.006675
[1403/5000][70/535][144745] Loss_D: -0.017320 Loss_G: 0.028371 Loss_D_real: -0.039322 Loss_D_fake -0.022001
[1403/5000][75/535][144746] Loss_D: -0.018933 Loss_G: 0.012489 Loss_D_real: -0.025760 Loss_D_fake -0.006828
[1403/5000][80/535][144747] Loss_D: -0.021527 Loss_G: -0.013068 Loss_D_real: -0.012610 Loss_D_fake 0.008917
[1403/5000][85/535][144748] Loss_D: -0.020703 Loss_G: 0.019029 Loss_D_real: -0.023321 Loss_D_fake -0.002618
[1403/5000][90/535][144749] Loss_D: -0.018318 Loss_G: 0.022742 Loss_D_real: -0.025646 Loss_D_fake -0.007329
[1403/5000][95/535][144750] Loss_D: -0.019947 Loss_G: -0.002428 Loss_D_real: -0.022158 Loss_D_fake -0.002210
[1403/5000][100/535][144751] Loss_D: -0.020078 Loss_G: -0.015180 Loss_D_real: 0.001876 Loss_D_fake 0.021954
[1403/5000][105/535][144752] Loss_D: -0.020811 Loss_G: 0.000151 Loss_D_real: -0.000025 Loss_D_fake 0.020786
[1403/5000][110/535][144753] Loss_D: -0.021246 Loss_G: 0.005468 Loss_D_real: -0.009310 Loss_D_fake 0.011936
[1403/5000][115/535][144754] Loss_D: -0.020056 Loss_G: -0.006787 Loss_D_real: 0.002757 Loss_D_fake 0.022813
[1403/5000][120/535][144755] Loss_D: -0.020306 Loss_G: 0.021723 Loss_D_real: -0.019969 Loss_D_fake 0.000337
[1403/5000][125/535][144756] Loss_D: -0.020201 Loss_G: 0.013492 Loss_D_real: -0.026403 Loss_D_fake -0.006202
[1403/5000][130/535][144757] Loss_D: -0.019837 Loss_G: 0.000823 Loss_D_real: -0.010671 Loss_D_fake 0.009166
[1403/5000][135/535][144758] Loss_D: -0.020411 Loss_G: 0.008299 Loss_D_real: -0.021251 Loss_D_fake -0.000840
[1403/5000][140/535][144759] Loss_D: -0.019505 Loss_G: 0.011116 Loss_D_real: -0.023712 Loss_D_fake -0.004207
[1403/5000][145/535][144760] Loss_D: -0.019896 Loss_G: 0.022475 Loss_D_real: -0.018936 Loss_D_fake 0.000960
[1403/5000][150/535][144761] Loss_D: -0.019884 Loss_G: 0.011659 Loss_D_real: -0.012236 Loss_D_fake 0.007648
[1403/5000][155/535][144762] Loss_D: -0.020558 Loss_G: -0.004872 Loss_D_real: -0.014170 Loss_D_fake 0.006388
[1403/5000][160/535][144763] Loss_D: -0.018503 Loss_G: -0.012432 Loss_D_real: -0.004860 Loss_D_fake 0.013643
[1403/5000][165/535][144764] Loss_D: -0.019085 Loss_G: -0.011743 Loss_D_real: 0.002152 Loss_D_fake 0.021236
[1403/5000][170/535][144765] Loss_D: -0.020477 Loss_G: -0.002827 Loss_D_real: -0.004580 Loss_D_fake 0.015897
[1403/5000][175/535][144766] Loss_D: -0.020258 Loss_G: 0.004947 Loss_D_real: -0.022102 Loss_D_fake -0.001844
[1403/5000][180/535][144767] Loss_D: -0.020379 Loss_G: 0.003220 Loss_D_real: -0.012460 Loss_D_fake 0.007920
[1403/5000][185/535][144768] Loss_D: -0.019582 Loss_G: 0.011210 Loss_D_real: -0.023158 Loss_D_fake -0.003576
[1403/5000][190/535][144769] Loss_D: -0.020502 Loss_G: -0.004028 Loss_D_real: -0.014056 Loss_D_fake 0.006446
[1403/5000][195/535][144770] Loss_D: -0.020581 Loss_G: 0.005309 Loss_D_real: -0.023777 Loss_D_fake -0.003196
[1403/5000][200/535][144771] Loss_D: -0.019738 Loss_G: 0.008403 Loss_D_real: -0.010202 Loss_D_fake 0.009535
[1403/5000][205/535][144772] Loss_D: -0.019646 Loss_G: 0.000042 Loss_D_real: -0.016180 Loss_D_fake 0.003467
[1403/5000][210/535][144773] Loss_D: -0.020076 Loss_G: 0.021499 Loss_D_real: -0.027900 Loss_D_fake -0.007823
[1403/5000][215/535][144774] Loss_D: -0.020263 Loss_G: 0.007952 Loss_D_real: -0.004158 Loss_D_fake 0.016104
[1403/5000][220/535][144775] Loss_D: -0.020425 Loss_G: 0.017747 Loss_D_real: -0.018754 Loss_D_fake 0.001671
[1403/5000][225/535][144776] Loss_D: -0.019962 Loss_G: 0.015457 Loss_D_real: -0.018856 Loss_D_fake 0.001106
[1403/5000][230/535][144777] Loss_D: -0.020669 Loss_G: -0.019835 Loss_D_real: -0.013005 Loss_D_fake 0.007664
[1403/5000][235/535][144778] Loss_D: -0.020058 Loss_G: 0.009754 Loss_D_real: -0.018020 Loss_D_fake 0.002038
[1403/5000][240/535][144779] Loss_D: -0.020408 Loss_G: -0.000642 Loss_D_real: -0.011712 Loss_D_fake 0.008696
[1403/5000][245/535][144780] Loss_D: -0.020343 Loss_G: -0.002118 Loss_D_real: -0.005520 Loss_D_fake 0.014823
[1403/5000][250/535][144781] Loss_D: -0.019743 Loss_G: 0.009537 Loss_D_real: -0.014627 Loss_D_fake 0.005116
[1403/5000][255/535][144782] Loss_D: -0.018928 Loss_G: 0.038577 Loss_D_real: -0.029242 Loss_D_fake -0.010314
[1403/5000][260/535][144783] Loss_D: -0.021574 Loss_G: 0.013126 Loss_D_real: -0.004973 Loss_D_fake 0.016601
[1403/5000][265/535][144784] Loss_D: -0.019317 Loss_G: 0.012398 Loss_D_real: -0.029896 Loss_D_fake -0.010579
[1403/5000][270/535][144785] Loss_D: -0.018977 Loss_G: 0.006706 Loss_D_real: -0.020061 Loss_D_fake -0.001084
[1403/5000][275/535][144786] Loss_D: -0.021224 Loss_G: -0.006990 Loss_D_real: -0.015468 Loss_D_fake 0.005756
[1403/5000][280/535][144787] Loss_D: -0.019268 Loss_G: -0.017926 Loss_D_real: -0.004268 Loss_D_fake 0.014999
[1403/5000][285/535][144788] Loss_D: -0.018689 Loss_G: 0.033031 Loss_D_real: -0.037030 Loss_D_fake -0.018341
[1403/5000][290/535][144789] Loss_D: -0.020479 Loss_G: 0.008434 Loss_D_real: -0.004155 Loss_D_fake 0.016324
[1403/5000][295/535][144790] Loss_D: -0.018900 Loss_G: -0.006941 Loss_D_real: -0.008632 Loss_D_fake 0.010268
[1403/5000][300/535][144791] Loss_D: -0.020764 Loss_G: 0.009149 Loss_D_real: -0.017011 Loss_D_fake 0.003753
[1403/5000][305/535][144792] Loss_D: -0.019386 Loss_G: 0.025584 Loss_D_real: -0.010856 Loss_D_fake 0.008530
[1403/5000][310/535][144793] Loss_D: -0.018874 Loss_G: 0.001659 Loss_D_real: -0.010776 Loss_D_fake 0.008098
[1403/5000][315/535][144794] Loss_D: -0.020120 Loss_G: 0.014824 Loss_D_real: -0.033204 Loss_D_fake -0.013083
[1403/5000][320/535][144795] Loss_D: -0.019820 Loss_G: 0.009401 Loss_D_real: -0.027147 Loss_D_fake -0.007327
[1403/5000][325/535][144796] Loss_D: -0.020839 Loss_G: 0.004971 Loss_D_real: -0.016819 Loss_D_fake 0.004020
[1403/5000][330/535][144797] Loss_D: -0.020119 Loss_G: 0.006580 Loss_D_real: -0.003985 Loss_D_fake 0.016134
[1403/5000][335/535][144798] Loss_D: -0.019505 Loss_G: 0.019720 Loss_D_real: -0.023063 Loss_D_fake -0.003558
[1403/5000][340/535][144799] Loss_D: -0.019697 Loss_G: 0.017970 Loss_D_real: -0.023380 Loss_D_fake -0.003683
[1403/5000][345/535][144800] Loss_D: -0.020994 Loss_G: 0.008821 Loss_D_real: -0.017881 Loss_D_fake 0.003113
[1403/5000][350/535][144801] Loss_D: -0.019365 Loss_G: -0.014475 Loss_D_real: 0.006057 Loss_D_fake 0.025422
[1403/5000][355/535][144802] Loss_D: -0.019312 Loss_G: 0.000246 Loss_D_real: -0.007628 Loss_D_fake 0.011684
[1403/5000][360/535][144803] Loss_D: -0.019437 Loss_G: 0.001425 Loss_D_real: -0.009333 Loss_D_fake 0.010104
[1403/5000][365/535][144804] Loss_D: -0.019859 Loss_G: -0.010901 Loss_D_real: -0.017932 Loss_D_fake 0.001927
[1403/5000][370/535][144805] Loss_D: -0.019652 Loss_G: 0.004757 Loss_D_real: -0.023927 Loss_D_fake -0.004275
[1403/5000][375/535][144806] Loss_D: -0.018723 Loss_G: 0.018354 Loss_D_real: -0.036415 Loss_D_fake -0.017692
[1403/5000][380/535][144807] Loss_D: -0.019316 Loss_G: -0.003626 Loss_D_real: -0.007417 Loss_D_fake 0.011898
[1403/5000][385/535][144808] Loss_D: -0.021005 Loss_G: 0.001519 Loss_D_real: -0.014403 Loss_D_fake 0.006601
[1403/5000][390/535][144809] Loss_D: -0.018535 Loss_G: 0.011246 Loss_D_real: -0.029967 Loss_D_fake -0.011432
[1403/5000][395/535][144810] Loss_D: -0.019776 Loss_G: -0.001826 Loss_D_real: -0.017809 Loss_D_fake 0.001967
[1403/5000][400/535][144811] Loss_D: -0.019440 Loss_G: 0.007360 Loss_D_real: -0.019304 Loss_D_fake 0.000135
[1403/5000][405/535][144812] Loss_D: -0.019607 Loss_G: 0.016488 Loss_D_real: -0.031795 Loss_D_fake -0.012188
[1403/5000][410/535][144813] Loss_D: -0.021145 Loss_G: -0.010226 Loss_D_real: -0.025687 Loss_D_fake -0.004543
[1403/5000][415/535][144814] Loss_D: -0.019378 Loss_G: 0.024696 Loss_D_real: -0.036118 Loss_D_fake -0.016740
[1403/5000][420/535][144815] Loss_D: -0.019420 Loss_G: -0.002962 Loss_D_real: -0.002109 Loss_D_fake 0.017311
[1403/5000][425/535][144816] Loss_D: -0.019096 Loss_G: -0.001369 Loss_D_real: -0.006850 Loss_D_fake 0.012246
[1403/5000][430/535][144817] Loss_D: -0.020201 Loss_G: 0.012433 Loss_D_real: -0.006919 Loss_D_fake 0.013282
[1403/5000][435/535][144818] Loss_D: -0.020084 Loss_G: 0.010532 Loss_D_real: -0.026335 Loss_D_fake -0.006251
[1403/5000][440/535][144819] Loss_D: -0.020864 Loss_G: 0.004465 Loss_D_real: -0.023989 Loss_D_fake -0.003125
[1403/5000][445/535][144820] Loss_D: -0.018755 Loss_G: -0.006339 Loss_D_real: -0.010089 Loss_D_fake 0.008666
[1403/5000][450/535][144821] Loss_D: -0.020415 Loss_G: 0.009814 Loss_D_real: -0.021503 Loss_D_fake -0.001088
[1403/5000][455/535][144822] Loss_D: -0.019835 Loss_G: 0.015399 Loss_D_real: -0.018858 Loss_D_fake 0.000977
[1403/5000][460/535][144823] Loss_D: -0.019305 Loss_G: -0.021646 Loss_D_real: -0.001219 Loss_D_fake 0.018087
[1403/5000][465/535][144824] Loss_D: -0.020599 Loss_G: 0.005442 Loss_D_real: -0.020180 Loss_D_fake 0.000418
[1403/5000][470/535][144825] Loss_D: -0.018859 Loss_G: 0.028968 Loss_D_real: -0.032760 Loss_D_fake -0.013901
[1403/5000][475/535][144826] Loss_D: -0.020021 Loss_G: 0.003875 Loss_D_real: -0.013684 Loss_D_fake 0.006337
[1403/5000][480/535][144827] Loss_D: -0.020432 Loss_G: -0.002348 Loss_D_real: -0.005599 Loss_D_fake 0.014833
[1403/5000][485/535][144828] Loss_D: -0.019897 Loss_G: 0.003053 Loss_D_real: -0.014407 Loss_D_fake 0.005489
[1403/5000][490/535][144829] Loss_D: -0.019435 Loss_G: -0.003965 Loss_D_real: -0.001552 Loss_D_fake 0.017883
[1403/5000][495/535][144830] Loss_D: -0.019431 Loss_G: 0.006397 Loss_D_real: -0.005483 Loss_D_fake 0.013948
[1403/5000][500/535][144831] Loss_D: -0.020508 Loss_G: 0.008175 Loss_D_real: -0.009635 Loss_D_fake 0.010873
[1403/5000][505/535][144832] Loss_D: -0.021014 Loss_G: 0.010653 Loss_D_real: -0.020735 Loss_D_fake 0.000279
[1403/5000][510/535][144833] Loss_D: -0.021282 Loss_G: -0.007887 Loss_D_real: -0.012843 Loss_D_fake 0.008439
[1403/5000][515/535][144834] Loss_D: -0.021080 Loss_G: 0.013876 Loss_D_real: -0.017601 Loss_D_fake 0.003480
[1403/5000][520/535][144835] Loss_D: -0.019270 Loss_G: 0.029984 Loss_D_real: -0.022685 Loss_D_fake -0.003415
[1403/5000][525/535][144836] Loss_D: -0.019329 Loss_G: -0.006908 Loss_D_real: -0.004139 Loss_D_fake 0.015191
[1403/5000][530/535][144837] Loss_D: -0.018688 Loss_G: -0.004895 Loss_D_real: -0.012137 Loss_D_fake 0.006550
[1403/5000][535/535][144838] Loss_D: -0.019120 Loss_G: 0.027054 Loss_D_real: -0.029447 Loss_D_fake -0.010327
[1404/5000][5/535][144839] Loss_D: -0.019353 Loss_G: 0.003639 Loss_D_real: -0.014570 Loss_D_fake 0.004783
[1404/5000][10/535][144840] Loss_D: -0.018842 Loss_G: 0.024187 Loss_D_real: -0.027941 Loss_D_fake -0.009099
[1404/5000][15/535][144841] Loss_D: -0.018843 Loss_G: 0.011040 Loss_D_real: -0.018256 Loss_D_fake 0.000587
[1404/5000][20/535][144842] Loss_D: -0.020961 Loss_G: -0.003660 Loss_D_real: -0.013336 Loss_D_fake 0.007625
[1404/5000][25/535][144843] Loss_D: -0.020629 Loss_G: 0.004118 Loss_D_real: -0.025702 Loss_D_fake -0.005073
[1404/5000][30/535][144844] Loss_D: -0.020749 Loss_G: 0.007488 Loss_D_real: -0.017971 Loss_D_fake 0.002778
[1404/5000][35/535][144845] Loss_D: -0.019131 Loss_G: 0.014314 Loss_D_real: -0.025821 Loss_D_fake -0.006690
[1404/5000][40/535][144846] Loss_D: -0.017302 Loss_G: 0.024555 Loss_D_real: -0.035419 Loss_D_fake -0.018117
[1404/5000][45/535][144847] Loss_D: -0.019042 Loss_G: -0.011796 Loss_D_real: -0.010243 Loss_D_fake 0.008799
[1404/5000][50/535][144848] Loss_D: -0.020226 Loss_G: 0.017323 Loss_D_real: -0.010895 Loss_D_fake 0.009331
[1404/5000][55/535][144849] Loss_D: -0.019646 Loss_G: 0.024229 Loss_D_real: -0.022586 Loss_D_fake -0.002940
[1404/5000][60/535][144850] Loss_D: -0.020030 Loss_G: 0.006231 Loss_D_real: -0.019821 Loss_D_fake 0.000210
[1404/5000][65/535][144851] Loss_D: -0.020342 Loss_G: 0.013686 Loss_D_real: -0.032789 Loss_D_fake -0.012447
[1404/5000][70/535][144852] Loss_D: -0.018923 Loss_G: 0.006803 Loss_D_real: -0.018221 Loss_D_fake 0.000702
[1404/5000][75/535][144853] Loss_D: -0.018417 Loss_G: -0.001906 Loss_D_real: -0.026552 Loss_D_fake -0.008135
[1404/5000][80/535][144854] Loss_D: -0.020528 Loss_G: 0.000648 Loss_D_real: -0.014597 Loss_D_fake 0.005931
[1404/5000][85/535][144855] Loss_D: -0.019354 Loss_G: -0.011967 Loss_D_real: 0.000700 Loss_D_fake 0.020054
[1404/5000][90/535][144856] Loss_D: -0.019522 Loss_G: 0.005917 Loss_D_real: -0.007911 Loss_D_fake 0.011611
[1404/5000][95/535][144857] Loss_D: -0.019531 Loss_G: 0.003063 Loss_D_real: -0.021410 Loss_D_fake -0.001879
[1404/5000][100/535][144858] Loss_D: -0.019079 Loss_G: 0.016231 Loss_D_real: -0.021572 Loss_D_fake -0.002493
[1404/5000][105/535][144859] Loss_D: -0.019134 Loss_G: 0.012520 Loss_D_real: -0.021832 Loss_D_fake -0.002698
[1404/5000][110/535][144860] Loss_D: -0.019323 Loss_G: -0.010806 Loss_D_real: -0.012686 Loss_D_fake 0.006638
[1404/5000][115/535][144861] Loss_D: -0.020668 Loss_G: 0.009016 Loss_D_real: -0.015525 Loss_D_fake 0.005143
[1404/5000][120/535][144862] Loss_D: -0.019890 Loss_G: 0.020704 Loss_D_real: -0.027408 Loss_D_fake -0.007518
[1404/5000][125/535][144863] Loss_D: -0.018388 Loss_G: 0.016715 Loss_D_real: -0.027394 Loss_D_fake -0.009005
[1404/5000][130/535][144864] Loss_D: -0.019977 Loss_G: -0.002819 Loss_D_real: 0.000166 Loss_D_fake 0.020142
[1404/5000][135/535][144865] Loss_D: -0.020082 Loss_G: 0.011738 Loss_D_real: -0.016279 Loss_D_fake 0.003803
[1404/5000][140/535][144866] Loss_D: -0.020097 Loss_G: 0.002762 Loss_D_real: -0.016338 Loss_D_fake 0.003759
[1404/5000][145/535][144867] Loss_D: -0.019969 Loss_G: 0.018014 Loss_D_real: -0.034539 Loss_D_fake -0.014570
[1404/5000][150/535][144868] Loss_D: -0.020190 Loss_G: -0.006526 Loss_D_real: -0.019922 Loss_D_fake 0.000268
[1404/5000][155/535][144869] Loss_D: -0.020881 Loss_G: 0.002286 Loss_D_real: -0.016110 Loss_D_fake 0.004771
[1404/5000][160/535][144870] Loss_D: -0.020403 Loss_G: -0.006861 Loss_D_real: -0.008434 Loss_D_fake 0.011968
[1404/5000][165/535][144871] Loss_D: -0.019299 Loss_G: -0.011597 Loss_D_real: 0.004488 Loss_D_fake 0.023787
[1404/5000][170/535][144872] Loss_D: -0.019043 Loss_G: -0.008261 Loss_D_real: 0.003511 Loss_D_fake 0.022554
[1404/5000][175/535][144873] Loss_D: -0.017970 Loss_G: -0.011466 Loss_D_real: 0.004764 Loss_D_fake 0.022733
[1404/5000][180/535][144874] Loss_D: -0.017967 Loss_G: 0.002003 Loss_D_real: -0.006625 Loss_D_fake 0.011342
[1404/5000][185/535][144875] Loss_D: -0.019329 Loss_G: 0.003111 Loss_D_real: -0.017364 Loss_D_fake 0.001965
[1404/5000][190/535][144876] Loss_D: -0.017399 Loss_G: 0.025937 Loss_D_real: -0.039295 Loss_D_fake -0.021896
[1404/5000][195/535][144877] Loss_D: -0.018464 Loss_G: 0.008880 Loss_D_real: -0.003286 Loss_D_fake 0.015178
[1404/5000][200/535][144878] Loss_D: -0.017749 Loss_G: -0.017971 Loss_D_real: -0.006915 Loss_D_fake 0.010834
[1404/5000][205/535][144879] Loss_D: -0.019611 Loss_G: 0.005116 Loss_D_real: -0.006357 Loss_D_fake 0.013255
[1404/5000][210/535][144880] Loss_D: -0.018887 Loss_G: 0.023268 Loss_D_real: -0.038018 Loss_D_fake -0.019131
[1404/5000][215/535][144881] Loss_D: -0.020244 Loss_G: -0.005122 Loss_D_real: -0.020267 Loss_D_fake -0.000022
[1404/5000][220/535][144882] Loss_D: -0.020089 Loss_G: 0.007465 Loss_D_real: -0.008386 Loss_D_fake 0.011703
[1404/5000][225/535][144883] Loss_D: -0.019303 Loss_G: 0.010538 Loss_D_real: -0.018166 Loss_D_fake 0.001137
[1404/5000][230/535][144884] Loss_D: -0.019684 Loss_G: 0.011218 Loss_D_real: -0.017201 Loss_D_fake 0.002483
[1404/5000][235/535][144885] Loss_D: -0.019865 Loss_G: 0.017518 Loss_D_real: -0.016716 Loss_D_fake 0.003149
[1404/5000][240/535][144886] Loss_D: -0.021409 Loss_G: 0.011657 Loss_D_real: -0.006314 Loss_D_fake 0.015095
[1404/5000][245/535][144887] Loss_D: -0.020451 Loss_G: 0.003605 Loss_D_real: -0.004689 Loss_D_fake 0.015762
[1404/5000][250/535][144888] Loss_D: -0.019542 Loss_G: -0.003447 Loss_D_real: -0.004647 Loss_D_fake 0.014894
[1404/5000][255/535][144889] Loss_D: -0.020193 Loss_G: 0.002520 Loss_D_real: -0.016547 Loss_D_fake 0.003646
[1404/5000][260/535][144890] Loss_D: -0.020358 Loss_G: -0.017659 Loss_D_real: 0.006910 Loss_D_fake 0.027268
[1404/5000][265/535][144891] Loss_D: -0.020083 Loss_G: 0.005911 Loss_D_real: -0.019727 Loss_D_fake 0.000356
[1404/5000][270/535][144892] Loss_D: -0.020451 Loss_G: 0.007976 Loss_D_real: -0.019513 Loss_D_fake 0.000938
[1404/5000][275/535][144893] Loss_D: -0.019604 Loss_G: 0.014603 Loss_D_real: -0.016405 Loss_D_fake 0.003199
[1404/5000][280/535][144894] Loss_D: -0.021007 Loss_G: 0.015974 Loss_D_real: -0.014996 Loss_D_fake 0.006011
[1404/5000][285/535][144895] Loss_D: -0.021848 Loss_G: 0.018582 Loss_D_real: -0.021058 Loss_D_fake 0.000790
[1404/5000][290/535][144896] Loss_D: -0.020888 Loss_G: 0.014941 Loss_D_real: -0.018723 Loss_D_fake 0.002165
[1404/5000][295/535][144897] Loss_D: -0.020690 Loss_G: 0.005248 Loss_D_real: -0.017618 Loss_D_fake 0.003072
[1404/5000][300/535][144898] Loss_D: -0.019129 Loss_G: 0.023598 Loss_D_real: -0.035716 Loss_D_fake -0.016587
[1404/5000][305/535][144899] Loss_D: -0.019885 Loss_G: 0.020812 Loss_D_real: -0.039434 Loss_D_fake -0.019549
[1404/5000][310/535][144900] Loss_D: -0.021800 Loss_G: 0.003118 Loss_D_real: -0.008364 Loss_D_fake 0.013436
[1404/5000][315/535][144901] Loss_D: -0.019532 Loss_G: -0.015908 Loss_D_real: 0.000341 Loss_D_fake 0.019874
[1404/5000][320/535][144902] Loss_D: -0.020196 Loss_G: 0.009404 Loss_D_real: -0.021253 Loss_D_fake -0.001058
[1404/5000][325/535][144903] Loss_D: -0.020455 Loss_G: 0.014222 Loss_D_real: -0.022810 Loss_D_fake -0.002354
[1404/5000][330/535][144904] Loss_D: -0.019565 Loss_G: -0.008944 Loss_D_real: -0.002684 Loss_D_fake 0.016880
[1404/5000][335/535][144905] Loss_D: -0.019360 Loss_G: 0.011008 Loss_D_real: -0.018216 Loss_D_fake 0.001143
[1404/5000][340/535][144906] Loss_D: -0.019522 Loss_G: 0.009759 Loss_D_real: -0.015410 Loss_D_fake 0.004112
[1404/5000][345/535][144907] Loss_D: -0.020577 Loss_G: 0.015567 Loss_D_real: -0.026071 Loss_D_fake -0.005495
[1404/5000][350/535][144908] Loss_D: -0.020861 Loss_G: -0.000387 Loss_D_real: -0.023537 Loss_D_fake -0.002676
[1404/5000][355/535][144909] Loss_D: -0.019572 Loss_G: 0.010841 Loss_D_real: -0.018013 Loss_D_fake 0.001559
[1404/5000][360/535][144910] Loss_D: -0.018625 Loss_G: 0.000061 Loss_D_real: -0.017523 Loss_D_fake 0.001103
[1404/5000][365/535][144911] Loss_D: -0.019541 Loss_G: 0.007019 Loss_D_real: -0.026779 Loss_D_fake -0.007238
[1404/5000][370/535][144912] Loss_D: -0.020058 Loss_G: -0.003818 Loss_D_real: -0.022210 Loss_D_fake -0.002151
[1404/5000][375/535][144913] Loss_D: -0.018702 Loss_G: -0.003866 Loss_D_real: 0.001078 Loss_D_fake 0.019781
[1404/5000][380/535][144914] Loss_D: -0.020456 Loss_G: 0.000380 Loss_D_real: -0.015195 Loss_D_fake 0.005261
[1404/5000][385/535][144915] Loss_D: -0.020638 Loss_G: -0.010221 Loss_D_real: 0.003637 Loss_D_fake 0.024275
[1404/5000][390/535][144916] Loss_D: -0.021121 Loss_G: 0.014372 Loss_D_real: -0.016251 Loss_D_fake 0.004870
[1404/5000][395/535][144917] Loss_D: -0.020601 Loss_G: 0.000830 Loss_D_real: -0.009521 Loss_D_fake 0.011079
[1404/5000][400/535][144918] Loss_D: -0.020104 Loss_G: 0.016105 Loss_D_real: -0.013296 Loss_D_fake 0.006807
[1404/5000][405/535][144919] Loss_D: -0.019003 Loss_G: 0.004456 Loss_D_real: -0.022788 Loss_D_fake -0.003785
[1404/5000][410/535][144920] Loss_D: -0.020524 Loss_G: -0.003086 Loss_D_real: 0.005660 Loss_D_fake 0.026184
[1404/5000][415/535][144921] Loss_D: -0.018777 Loss_G: 0.018216 Loss_D_real: -0.026624 Loss_D_fake -0.007847
[1404/5000][420/535][144922] Loss_D: -0.020542 Loss_G: 0.019611 Loss_D_real: -0.024618 Loss_D_fake -0.004077
[1404/5000][425/535][144923] Loss_D: -0.020071 Loss_G: 0.008872 Loss_D_real: -0.015254 Loss_D_fake 0.004817
[1404/5000][430/535][144924] Loss_D: -0.019960 Loss_G: 0.012732 Loss_D_real: -0.023707 Loss_D_fake -0.003746
[1404/5000][435/535][144925] Loss_D: -0.020362 Loss_G: 0.002990 Loss_D_real: -0.020079 Loss_D_fake 0.000283
[1404/5000][440/535][144926] Loss_D: -0.021533 Loss_G: 0.012324 Loss_D_real: -0.023114 Loss_D_fake -0.001581
[1404/5000][445/535][144927] Loss_D: -0.019573 Loss_G: 0.030758 Loss_D_real: -0.022992 Loss_D_fake -0.003419
[1404/5000][450/535][144928] Loss_D: -0.020460 Loss_G: 0.017126 Loss_D_real: -0.016905 Loss_D_fake 0.003555
[1404/5000][455/535][144929] Loss_D: -0.019806 Loss_G: -0.009758 Loss_D_real: 0.004935 Loss_D_fake 0.024741
[1404/5000][460/535][144930] Loss_D: -0.018856 Loss_G: 0.022861 Loss_D_real: -0.028717 Loss_D_fake -0.009861
[1404/5000][465/535][144931] Loss_D: -0.020172 Loss_G: -0.002982 Loss_D_real: -0.008278 Loss_D_fake 0.011894
[1404/5000][470/535][144932] Loss_D: -0.020934 Loss_G: -0.003319 Loss_D_real: -0.005676 Loss_D_fake 0.015258
[1404/5000][475/535][144933] Loss_D: -0.021156 Loss_G: 0.010027 Loss_D_real: -0.018301 Loss_D_fake 0.002856
[1404/5000][480/535][144934] Loss_D: -0.021097 Loss_G: 0.007314 Loss_D_real: -0.028520 Loss_D_fake -0.007424
[1404/5000][485/535][144935] Loss_D: -0.020943 Loss_G: -0.005920 Loss_D_real: -0.019078 Loss_D_fake 0.001865
[1404/5000][490/535][144936] Loss_D: -0.020342 Loss_G: 0.003395 Loss_D_real: 0.006033 Loss_D_fake 0.026375
[1404/5000][495/535][144937] Loss_D: -0.019504 Loss_G: 0.002970 Loss_D_real: -0.014041 Loss_D_fake 0.005463
[1404/5000][500/535][144938] Loss_D: -0.019053 Loss_G: 0.002646 Loss_D_real: -0.024501 Loss_D_fake -0.005448
[1404/5000][505/535][144939] Loss_D: -0.020039 Loss_G: 0.005963 Loss_D_real: -0.014195 Loss_D_fake 0.005844
[1404/5000][510/535][144940] Loss_D: -0.020828 Loss_G: 0.007180 Loss_D_real: -0.030444 Loss_D_fake -0.009617
[1404/5000][515/535][144941] Loss_D: -0.018471 Loss_G: 0.016418 Loss_D_real: -0.014379 Loss_D_fake 0.004091
[1404/5000][520/535][144942] Loss_D: -0.017856 Loss_G: 0.029672 Loss_D_real: -0.036172 Loss_D_fake -0.018316
[1404/5000][525/535][144943] Loss_D: -0.020637 Loss_G: 0.002934 Loss_D_real: -0.010749 Loss_D_fake 0.009887
[1404/5000][530/535][144944] Loss_D: -0.020664 Loss_G: 0.007724 Loss_D_real: -0.028295 Loss_D_fake -0.007631
[1404/5000][535/535][144945] Loss_D: -0.021680 Loss_G: 0.026088 Loss_D_real: -0.021981 Loss_D_fake -0.000300
[1405/5000][5/535][144946] Loss_D: -0.021773 Loss_G: 0.014619 Loss_D_real: -0.024447 Loss_D_fake -0.002674
[1405/5000][10/535][144947] Loss_D: -0.021068 Loss_G: -0.005309 Loss_D_real: -0.006139 Loss_D_fake 0.014929
[1405/5000][15/535][144948] Loss_D: -0.021615 Loss_G: 0.016995 Loss_D_real: -0.032041 Loss_D_fake -0.010426
[1405/5000][20/535][144949] Loss_D: -0.020054 Loss_G: -0.007031 Loss_D_real: -0.012469 Loss_D_fake 0.007585
[1405/5000][25/535][144950] Loss_D: -0.020887 Loss_G: 0.007511 Loss_D_real: -0.018735 Loss_D_fake 0.002152
[1405/5000][30/535][144951] Loss_D: -0.020784 Loss_G: 0.005056 Loss_D_real: -0.021775 Loss_D_fake -0.000991
[1405/5000][35/535][144952] Loss_D: -0.019297 Loss_G: -0.008078 Loss_D_real: -0.004807 Loss_D_fake 0.014490
[1405/5000][40/535][144953] Loss_D: -0.020075 Loss_G: 0.019464 Loss_D_real: -0.023681 Loss_D_fake -0.003606
[1405/5000][45/535][144954] Loss_D: -0.018889 Loss_G: -0.011277 Loss_D_real: 0.008638 Loss_D_fake 0.027527
[1405/5000][50/535][144955] Loss_D: -0.018886 Loss_G: 0.005832 Loss_D_real: -0.006791 Loss_D_fake 0.012095
[1405/5000][55/535][144956] Loss_D: -0.019646 Loss_G: 0.031389 Loss_D_real: -0.020847 Loss_D_fake -0.001201
[1405/5000][60/535][144957] Loss_D: -0.018418 Loss_G: 0.016474 Loss_D_real: -0.030974 Loss_D_fake -0.012556
[1405/5000][65/535][144958] Loss_D: -0.020101 Loss_G: -0.016511 Loss_D_real: -0.015394 Loss_D_fake 0.004707
[1405/5000][70/535][144959] Loss_D: -0.018581 Loss_G: 0.031093 Loss_D_real: -0.030900 Loss_D_fake -0.012319
[1405/5000][75/535][144960] Loss_D: -0.019539 Loss_G: -0.000763 Loss_D_real: -0.013941 Loss_D_fake 0.005597
[1405/5000][80/535][144961] Loss_D: -0.019352 Loss_G: 0.004561 Loss_D_real: -0.021031 Loss_D_fake -0.001679
[1405/5000][85/535][144962] Loss_D: -0.019975 Loss_G: 0.000281 Loss_D_real: -0.009734 Loss_D_fake 0.010242
[1405/5000][90/535][144963] Loss_D: -0.019307 Loss_G: 0.010336 Loss_D_real: -0.026296 Loss_D_fake -0.006989
[1405/5000][95/535][144964] Loss_D: -0.019009 Loss_G: 0.019308 Loss_D_real: -0.020405 Loss_D_fake -0.001396
[1405/5000][100/535][144965] Loss_D: -0.018783 Loss_G: -0.015600 Loss_D_real: -0.007655 Loss_D_fake 0.011127
[1405/5000][105/535][144966] Loss_D: -0.018864 Loss_G: 0.007823 Loss_D_real: -0.017619 Loss_D_fake 0.001245
[1405/5000][110/535][144967] Loss_D: -0.018230 Loss_G: 0.016420 Loss_D_real: -0.021461 Loss_D_fake -0.003231
[1405/5000][115/535][144968] Loss_D: -0.019977 Loss_G: 0.003120 Loss_D_real: -0.010043 Loss_D_fake 0.009934
[1405/5000][120/535][144969] Loss_D: -0.019961 Loss_G: -0.016646 Loss_D_real: -0.001534 Loss_D_fake 0.018427
[1405/5000][125/535][144970] Loss_D: -0.019538 Loss_G: 0.012509 Loss_D_real: -0.020355 Loss_D_fake -0.000816
[1405/5000][130/535][144971] Loss_D: -0.019908 Loss_G: 0.017778 Loss_D_real: -0.021963 Loss_D_fake -0.002055
[1405/5000][135/535][144972] Loss_D: -0.019005 Loss_G: -0.012663 Loss_D_real: 0.002788 Loss_D_fake 0.021794
[1405/5000][140/535][144973] Loss_D: -0.020161 Loss_G: 0.008202 Loss_D_real: -0.017869 Loss_D_fake 0.002292
[1405/5000][145/535][144974] Loss_D: -0.018385 Loss_G: 0.004799 Loss_D_real: -0.026085 Loss_D_fake -0.007700
[1405/5000][150/535][144975] Loss_D: -0.019200 Loss_G: 0.025394 Loss_D_real: -0.027304 Loss_D_fake -0.008104
[1405/5000][155/535][144976] Loss_D: -0.020134 Loss_G: -0.012876 Loss_D_real: -0.005100 Loss_D_fake 0.015033
[1405/5000][160/535][144977] Loss_D: -0.019249 Loss_G: 0.003438 Loss_D_real: -0.021680 Loss_D_fake -0.002431
[1405/5000][165/535][144978] Loss_D: -0.018624 Loss_G: -0.002942 Loss_D_real: -0.014211 Loss_D_fake 0.004413
[1405/5000][170/535][144979] Loss_D: -0.021133 Loss_G: 0.024609 Loss_D_real: -0.021862 Loss_D_fake -0.000728
[1405/5000][175/535][144980] Loss_D: -0.017376 Loss_G: -0.006531 Loss_D_real: -0.019801 Loss_D_fake -0.002425
[1405/5000][180/535][144981] Loss_D: -0.017871 Loss_G: 0.016318 Loss_D_real: -0.039515 Loss_D_fake -0.021644
[1405/5000][185/535][144982] Loss_D: -0.019752 Loss_G: 0.008970 Loss_D_real: -0.022389 Loss_D_fake -0.002637
[1405/5000][190/535][144983] Loss_D: -0.019497 Loss_G: -0.004246 Loss_D_real: -0.012226 Loss_D_fake 0.007272
[1405/5000][195/535][144984] Loss_D: -0.020085 Loss_G: 0.008238 Loss_D_real: -0.022139 Loss_D_fake -0.002054
[1405/5000][200/535][144985] Loss_D: -0.019861 Loss_G: -0.010500 Loss_D_real: -0.008180 Loss_D_fake 0.011681
[1405/5000][205/535][144986] Loss_D: -0.019135 Loss_G: 0.016006 Loss_D_real: -0.024144 Loss_D_fake -0.005009
[1405/5000][210/535][144987] Loss_D: -0.019362 Loss_G: -0.009778 Loss_D_real: -0.010176 Loss_D_fake 0.009186
[1405/5000][215/535][144988] Loss_D: -0.018127 Loss_G: -0.015508 Loss_D_real: 0.002871 Loss_D_fake 0.020998
[1405/5000][220/535][144989] Loss_D: -0.020159 Loss_G: 0.003601 Loss_D_real: -0.009586 Loss_D_fake 0.010573
[1405/5000][225/535][144990] Loss_D: -0.018967 Loss_G: 0.007274 Loss_D_real: -0.016585 Loss_D_fake 0.002382
[1405/5000][230/535][144991] Loss_D: -0.020193 Loss_G: 0.013287 Loss_D_real: -0.010500 Loss_D_fake 0.009693
[1405/5000][235/535][144992] Loss_D: -0.019100 Loss_G: 0.023207 Loss_D_real: -0.023863 Loss_D_fake -0.004763
[1405/5000][240/535][144993] Loss_D: -0.019665 Loss_G: 0.004424 Loss_D_real: -0.010373 Loss_D_fake 0.009292
[1405/5000][245/535][144994] Loss_D: -0.021048 Loss_G: 0.004936 Loss_D_real: -0.025368 Loss_D_fake -0.004320
[1405/5000][250/535][144995] Loss_D: -0.020606 Loss_G: 0.002350 Loss_D_real: 0.000063 Loss_D_fake 0.020668
[1405/5000][255/535][144996] Loss_D: -0.019148 Loss_G: 0.011617 Loss_D_real: -0.022718 Loss_D_fake -0.003570
[1405/5000][260/535][144997] Loss_D: -0.019880 Loss_G: 0.018119 Loss_D_real: -0.028533 Loss_D_fake -0.008653
[1405/5000][265/535][144998] Loss_D: -0.022501 Loss_G: -0.022786 Loss_D_real: -0.012229 Loss_D_fake 0.010272
[1405/5000][270/535][144999] Loss_D: -0.019282 Loss_G: 0.002897 Loss_D_real: -0.016724 Loss_D_fake 0.002558
[1405/5000][275/535][145000] Loss_D: -0.019017 Loss_G: 0.000594 Loss_D_real: -0.010865 Loss_D_fake 0.008152
[1405/5000][375/535][145001] Loss_D: -0.024539 Loss_G: 0.032229 Loss_D_real: -0.030802 Loss_D_fake -0.006263
[1405/5000][380/535][145002] Loss_D: -0.013986 Loss_G: -0.000353 Loss_D_real: -0.003201 Loss_D_fake 0.010784
[1405/5000][385/535][145003] Loss_D: -0.018335 Loss_G: 0.007425 Loss_D_real: -0.020934 Loss_D_fake -0.002599
[1405/5000][390/535][145004] Loss_D: -0.018623 Loss_G: 0.008333 Loss_D_real: -0.020760 Loss_D_fake -0.002137
[1405/5000][395/535][145005] Loss_D: -0.017724 Loss_G: 0.002545 Loss_D_real: -0.022453 Loss_D_fake -0.004729
[1405/5000][400/535][145006] Loss_D: -0.019229 Loss_G: -0.006753 Loss_D_real: -0.020101 Loss_D_fake -0.000872
[1405/5000][405/535][145007] Loss_D: -0.020209 Loss_G: 0.003338 Loss_D_real: -0.006177 Loss_D_fake 0.014031
[1405/5000][410/535][145008] Loss_D: -0.017733 Loss_G: -0.000655 Loss_D_real: -0.013780 Loss_D_fake 0.003954
[1405/5000][415/535][145009] Loss_D: -0.019280 Loss_G: 0.004286 Loss_D_real: -0.025451 Loss_D_fake -0.006171
[1405/5000][420/535][145010] Loss_D: -0.019433 Loss_G: 0.000477 Loss_D_real: -0.021477 Loss_D_fake -0.002044
[1405/5000][425/535][145011] Loss_D: -0.020435 Loss_G: 0.008489 Loss_D_real: -0.023057 Loss_D_fake -0.002622
[1405/5000][430/535][145012] Loss_D: -0.017827 Loss_G: 0.029174 Loss_D_real: -0.035032 Loss_D_fake -0.017205
[1405/5000][435/535][145013] Loss_D: -0.020122 Loss_G: -0.005784 Loss_D_real: -0.006214 Loss_D_fake 0.013907
[1405/5000][440/535][145014] Loss_D: -0.019792 Loss_G: -0.004898 Loss_D_real: -0.008553 Loss_D_fake 0.011239
[1405/5000][445/535][145015] Loss_D: -0.018255 Loss_G: 0.008248 Loss_D_real: -0.013449 Loss_D_fake 0.004806
[1405/5000][450/535][145016] Loss_D: -0.019945 Loss_G: 0.005284 Loss_D_real: -0.007838 Loss_D_fake 0.012107
[1405/5000][455/535][145017] Loss_D: -0.020726 Loss_G: 0.004642 Loss_D_real: -0.009716 Loss_D_fake 0.011011
[1405/5000][460/535][145018] Loss_D: -0.018860 Loss_G: 0.017885 Loss_D_real: -0.033278 Loss_D_fake -0.014417
[1405/5000][465/535][145019] Loss_D: -0.020199 Loss_G: 0.020014 Loss_D_real: -0.026854 Loss_D_fake -0.006656
[1405/5000][470/535][145020] Loss_D: -0.020729 Loss_G: 0.009086 Loss_D_real: -0.021504 Loss_D_fake -0.000775
[1405/5000][475/535][145021] Loss_D: -0.020227 Loss_G: -0.006440 Loss_D_real: -0.001939 Loss_D_fake 0.018288
[1405/5000][480/535][145022] Loss_D: -0.019059 Loss_G: 0.004214 Loss_D_real: -0.014569 Loss_D_fake 0.004490
[1405/5000][485/535][145023] Loss_D: -0.020091 Loss_G: 0.001917 Loss_D_real: -0.016491 Loss_D_fake 0.003600
[1405/5000][490/535][145024] Loss_D: -0.019851 Loss_G: 0.002070 Loss_D_real: -0.016482 Loss_D_fake 0.003369
[1405/5000][495/535][145025] Loss_D: -0.019194 Loss_G: -0.005435 Loss_D_real: -0.002458 Loss_D_fake 0.016736
[1405/5000][500/535][145026] Loss_D: -0.020308 Loss_G: 0.015323 Loss_D_real: -0.022465 Loss_D_fake -0.002157
[1405/5000][505/535][145027] Loss_D: -0.018556 Loss_G: -0.003139 Loss_D_real: -0.012822 Loss_D_fake 0.005734
[1405/5000][510/535][145028] Loss_D: -0.018624 Loss_G: 0.010671 Loss_D_real: -0.020899 Loss_D_fake -0.002275
[1405/5000][515/535][145029] Loss_D: -0.020069 Loss_G: -0.002764 Loss_D_real: -0.024854 Loss_D_fake -0.004785
[1405/5000][520/535][145030] Loss_D: -0.018866 Loss_G: 0.000081 Loss_D_real: -0.008168 Loss_D_fake 0.010698
[1405/5000][525/535][145031] Loss_D: -0.019781 Loss_G: 0.000897 Loss_D_real: -0.004513 Loss_D_fake 0.015268
[1405/5000][530/535][145032] Loss_D: -0.019979 Loss_G: 0.026850 Loss_D_real: -0.025329 Loss_D_fake -0.005350
[1405/5000][535/535][145033] Loss_D: -0.019634 Loss_G: 0.012802 Loss_D_real: -0.020857 Loss_D_fake -0.001223
[1406/5000][5/535][145034] Loss_D: -0.020039 Loss_G: 0.003977 Loss_D_real: -0.010288 Loss_D_fake 0.009751
[1406/5000][10/535][145035] Loss_D: -0.019376 Loss_G: 0.016590 Loss_D_real: -0.034781 Loss_D_fake -0.015406
[1406/5000][15/535][145036] Loss_D: -0.020617 Loss_G: 0.004065 Loss_D_real: -0.008358 Loss_D_fake 0.012259
[1406/5000][20/535][145037] Loss_D: -0.017623 Loss_G: -0.007424 Loss_D_real: -0.014260 Loss_D_fake 0.003363
[1406/5000][25/535][145038] Loss_D: -0.020444 Loss_G: -0.007475 Loss_D_real: -0.011295 Loss_D_fake 0.009149
[1406/5000][30/535][145039] Loss_D: -0.019693 Loss_G: 0.019437 Loss_D_real: -0.017800 Loss_D_fake 0.001893
[1406/5000][35/535][145040] Loss_D: -0.018796 Loss_G: 0.012406 Loss_D_real: -0.024145 Loss_D_fake -0.005349
[1406/5000][40/535][145041] Loss_D: -0.018892 Loss_G: 0.017793 Loss_D_real: -0.024141 Loss_D_fake -0.005250
[1406/5000][45/535][145042] Loss_D: -0.019218 Loss_G: -0.012144 Loss_D_real: -0.010631 Loss_D_fake 0.008586
[1406/5000][50/535][145043] Loss_D: -0.019543 Loss_G: 0.002604 Loss_D_real: -0.031816 Loss_D_fake -0.012273
[1406/5000][55/535][145044] Loss_D: -0.018061 Loss_G: 0.033466 Loss_D_real: -0.034841 Loss_D_fake -0.016780
[1406/5000][60/535][145045] Loss_D: -0.019546 Loss_G: -0.015210 Loss_D_real: 0.001494 Loss_D_fake 0.021039
[1406/5000][65/535][145046] Loss_D: -0.020433 Loss_G: -0.001963 Loss_D_real: -0.011880 Loss_D_fake 0.008553
[1406/5000][70/535][145047] Loss_D: -0.020186 Loss_G: -0.003939 Loss_D_real: -0.021857 Loss_D_fake -0.001671
[1406/5000][75/535][145048] Loss_D: -0.020645 Loss_G: 0.003666 Loss_D_real: -0.006811 Loss_D_fake 0.013834
[1406/5000][80/535][145049] Loss_D: -0.022646 Loss_G: 0.006739 Loss_D_real: -0.019790 Loss_D_fake 0.002856
[1406/5000][85/535][145050] Loss_D: -0.020882 Loss_G: 0.016481 Loss_D_real: -0.023651 Loss_D_fake -0.002770
[1406/5000][90/535][145051] Loss_D: -0.020969 Loss_G: -0.002415 Loss_D_real: -0.008608 Loss_D_fake 0.012361
[1406/5000][95/535][145052] Loss_D: -0.020317 Loss_G: 0.020647 Loss_D_real: -0.024742 Loss_D_fake -0.004426
[1406/5000][100/535][145053] Loss_D: -0.020654 Loss_G: 0.001960 Loss_D_real: -0.018222 Loss_D_fake 0.002433
[1406/5000][105/535][145054] Loss_D: -0.020589 Loss_G: 0.027976 Loss_D_real: -0.035692 Loss_D_fake -0.015103
[1406/5000][110/535][145055] Loss_D: -0.020434 Loss_G: 0.014302 Loss_D_real: -0.034582 Loss_D_fake -0.014148
[1406/5000][115/535][145056] Loss_D: -0.021045 Loss_G: -0.011722 Loss_D_real: 0.007264 Loss_D_fake 0.028309
[1406/5000][120/535][145057] Loss_D: -0.020877 Loss_G: 0.013004 Loss_D_real: -0.012270 Loss_D_fake 0.008607
[1406/5000][125/535][145058] Loss_D: -0.020249 Loss_G: 0.002880 Loss_D_real: -0.019773 Loss_D_fake 0.000477
[1406/5000][130/535][145059] Loss_D: -0.021608 Loss_G: 0.009913 Loss_D_real: -0.035155 Loss_D_fake -0.013547
[1406/5000][135/535][145060] Loss_D: -0.019224 Loss_G: -0.003771 Loss_D_real: -0.011404 Loss_D_fake 0.007819
[1406/5000][140/535][145061] Loss_D: -0.019942 Loss_G: 0.019383 Loss_D_real: -0.012855 Loss_D_fake 0.007087
[1406/5000][145/535][145062] Loss_D: -0.018935 Loss_G: 0.020117 Loss_D_real: -0.017468 Loss_D_fake 0.001467
[1406/5000][150/535][145063] Loss_D: -0.019599 Loss_G: 0.015562 Loss_D_real: -0.011982 Loss_D_fake 0.007618
[1406/5000][155/535][145064] Loss_D: -0.019727 Loss_G: 0.019148 Loss_D_real: -0.027086 Loss_D_fake -0.007360
[1406/5000][160/535][145065] Loss_D: -0.020358 Loss_G: 0.005519 Loss_D_real: -0.015210 Loss_D_fake 0.005148
[1406/5000][165/535][145066] Loss_D: -0.020411 Loss_G: 0.004133 Loss_D_real: -0.019075 Loss_D_fake 0.001336
[1406/5000][170/535][145067] Loss_D: -0.020509 Loss_G: 0.000392 Loss_D_real: -0.012036 Loss_D_fake 0.008473
[1406/5000][175/535][145068] Loss_D: -0.020089 Loss_G: 0.016596 Loss_D_real: -0.015250 Loss_D_fake 0.004838
[1406/5000][180/535][145069] Loss_D: -0.020404 Loss_G: 0.024041 Loss_D_real: -0.014894 Loss_D_fake 0.005510
[1406/5000][185/535][145070] Loss_D: -0.019277 Loss_G: -0.018182 Loss_D_real: 0.000170 Loss_D_fake 0.019447
[1406/5000][190/535][145071] Loss_D: -0.017744 Loss_G: 0.016809 Loss_D_real: -0.032239 Loss_D_fake -0.014496
[1406/5000][195/535][145072] Loss_D: -0.019238 Loss_G: 0.009113 Loss_D_real: -0.017126 Loss_D_fake 0.002112
[1406/5000][200/535][145073] Loss_D: -0.018608 Loss_G: 0.003856 Loss_D_real: -0.033617 Loss_D_fake -0.015009
[1406/5000][205/535][145074] Loss_D: -0.019097 Loss_G: 0.010027 Loss_D_real: -0.017269 Loss_D_fake 0.001827
[1406/5000][210/535][145075] Loss_D: -0.019299 Loss_G: 0.013434 Loss_D_real: -0.016273 Loss_D_fake 0.003026
[1406/5000][215/535][145076] Loss_D: -0.019587 Loss_G: -0.006557 Loss_D_real: 0.001163 Loss_D_fake 0.020750
[1406/5000][220/535][145077] Loss_D: -0.019788 Loss_G: 0.017709 Loss_D_real: -0.036217 Loss_D_fake -0.016429
[1406/5000][225/535][145078] Loss_D: -0.019478 Loss_G: 0.010381 Loss_D_real: -0.022501 Loss_D_fake -0.003024
[1406/5000][230/535][145079] Loss_D: -0.020430 Loss_G: 0.003440 Loss_D_real: -0.015900 Loss_D_fake 0.004530
[1406/5000][235/535][145080] Loss_D: -0.018554 Loss_G: 0.008305 Loss_D_real: -0.021032 Loss_D_fake -0.002478
[1406/5000][240/535][145081] Loss_D: -0.019698 Loss_G: -0.004072 Loss_D_real: -0.025877 Loss_D_fake -0.006179
[1406/5000][245/535][145082] Loss_D: -0.018932 Loss_G: 0.022467 Loss_D_real: -0.015534 Loss_D_fake 0.003398
[1406/5000][250/535][145083] Loss_D: -0.020359 Loss_G: 0.009668 Loss_D_real: -0.019284 Loss_D_fake 0.001075
[1406/5000][255/535][145084] Loss_D: -0.020194 Loss_G: -0.016477 Loss_D_real: -0.000647 Loss_D_fake 0.019546
[1406/5000][260/535][145085] Loss_D: -0.019352 Loss_G: 0.009604 Loss_D_real: -0.027219 Loss_D_fake -0.007867
[1406/5000][265/535][145086] Loss_D: -0.017110 Loss_G: -0.032407 Loss_D_real: -0.000457 Loss_D_fake 0.016653
[1406/5000][270/535][145087] Loss_D: -0.018483 Loss_G: -0.008947 Loss_D_real: -0.013058 Loss_D_fake 0.005425
[1406/5000][275/535][145088] Loss_D: -0.019877 Loss_G: 0.001599 Loss_D_real: -0.012581 Loss_D_fake 0.007296
[1406/5000][280/535][145089] Loss_D: -0.020212 Loss_G: 0.005001 Loss_D_real: -0.021932 Loss_D_fake -0.001720
[1406/5000][285/535][145090] Loss_D: -0.020454 Loss_G: 0.015808 Loss_D_real: -0.015705 Loss_D_fake 0.004749
[1406/5000][290/535][145091] Loss_D: -0.019499 Loss_G: 0.006707 Loss_D_real: -0.008047 Loss_D_fake 0.011452
[1406/5000][295/535][145092] Loss_D: -0.021508 Loss_G: -0.001453 Loss_D_real: -0.002516 Loss_D_fake 0.018991
[1406/5000][300/535][145093] Loss_D: -0.018525 Loss_G: 0.022710 Loss_D_real: -0.017183 Loss_D_fake 0.001342
[1406/5000][305/535][145094] Loss_D: -0.020104 Loss_G: 0.003943 Loss_D_real: -0.011380 Loss_D_fake 0.008723
[1406/5000][310/535][145095] Loss_D: -0.019495 Loss_G: 0.008025 Loss_D_real: -0.021015 Loss_D_fake -0.001520
[1406/5000][315/535][145096] Loss_D: -0.019083 Loss_G: -0.007813 Loss_D_real: -0.011217 Loss_D_fake 0.007867
[1406/5000][320/535][145097] Loss_D: -0.018104 Loss_G: 0.028807 Loss_D_real: -0.042570 Loss_D_fake -0.024466
[1406/5000][325/535][145098] Loss_D: -0.018910 Loss_G: -0.003806 Loss_D_real: 0.004127 Loss_D_fake 0.023037
[1406/5000][330/535][145099] Loss_D: -0.019980 Loss_G: 0.017133 Loss_D_real: -0.027473 Loss_D_fake -0.007493
[1406/5000][335/535][145100] Loss_D: -0.020813 Loss_G: 0.015257 Loss_D_real: -0.029690 Loss_D_fake -0.008877
[1406/5000][340/535][145101] Loss_D: -0.021504 Loss_G: 0.019563 Loss_D_real: -0.011950 Loss_D_fake 0.009554
[1406/5000][345/535][145102] Loss_D: -0.020673 Loss_G: 0.008016 Loss_D_real: -0.016566 Loss_D_fake 0.004107
[1406/5000][350/535][145103] Loss_D: -0.020294 Loss_G: 0.011986 Loss_D_real: -0.021700 Loss_D_fake -0.001405
[1406/5000][355/535][145104] Loss_D: -0.020190 Loss_G: 0.000785 Loss_D_real: 0.000346 Loss_D_fake 0.020536
[1406/5000][360/535][145105] Loss_D: -0.021795 Loss_G: 0.000990 Loss_D_real: -0.010401 Loss_D_fake 0.011394
[1406/5000][365/535][145106] Loss_D: -0.019333 Loss_G: -0.019505 Loss_D_real: 0.000209 Loss_D_fake 0.019542
[1406/5000][370/535][145107] Loss_D: -0.019836 Loss_G: 0.007043 Loss_D_real: -0.020314 Loss_D_fake -0.000478
[1406/5000][375/535][145108] Loss_D: -0.020949 Loss_G: 0.024974 Loss_D_real: -0.032172 Loss_D_fake -0.011223
[1406/5000][380/535][145109] Loss_D: -0.019588 Loss_G: -0.014490 Loss_D_real: 0.006134 Loss_D_fake 0.025722
[1406/5000][385/535][145110] Loss_D: -0.020040 Loss_G: -0.002754 Loss_D_real: -0.021187 Loss_D_fake -0.001148
[1406/5000][390/535][145111] Loss_D: -0.020405 Loss_G: 0.021890 Loss_D_real: -0.023601 Loss_D_fake -0.003197
[1406/5000][395/535][145112] Loss_D: -0.019946 Loss_G: 0.003899 Loss_D_real: -0.010387 Loss_D_fake 0.009558
[1406/5000][400/535][145113] Loss_D: -0.020091 Loss_G: 0.021112 Loss_D_real: -0.034735 Loss_D_fake -0.014644
[1406/5000][405/535][145114] Loss_D: -0.019784 Loss_G: 0.022373 Loss_D_real: -0.021565 Loss_D_fake -0.001780
[1406/5000][410/535][145115] Loss_D: -0.020377 Loss_G: -0.012145 Loss_D_real: -0.003791 Loss_D_fake 0.016586
[1406/5000][415/535][145116] Loss_D: -0.019832 Loss_G: 0.014360 Loss_D_real: -0.010639 Loss_D_fake 0.009193
[1406/5000][420/535][145117] Loss_D: -0.019123 Loss_G: 0.014202 Loss_D_real: -0.027004 Loss_D_fake -0.007880
[1406/5000][425/535][145118] Loss_D: -0.019813 Loss_G: 0.025162 Loss_D_real: -0.024728 Loss_D_fake -0.004915
[1406/5000][430/535][145119] Loss_D: -0.018655 Loss_G: 0.014289 Loss_D_real: -0.019172 Loss_D_fake -0.000518
[1406/5000][435/535][145120] Loss_D: -0.020643 Loss_G: -0.004212 Loss_D_real: -0.007648 Loss_D_fake 0.012995
[1406/5000][440/535][145121] Loss_D: -0.019543 Loss_G: 0.009248 Loss_D_real: -0.023127 Loss_D_fake -0.003584
[1406/5000][445/535][145122] Loss_D: -0.019576 Loss_G: 0.006315 Loss_D_real: -0.016489 Loss_D_fake 0.003087
[1406/5000][450/535][145123] Loss_D: -0.018979 Loss_G: 0.005734 Loss_D_real: -0.014204 Loss_D_fake 0.004775
[1406/5000][455/535][145124] Loss_D: -0.020509 Loss_G: 0.009176 Loss_D_real: -0.019038 Loss_D_fake 0.001471
[1406/5000][460/535][145125] Loss_D: -0.020093 Loss_G: 0.004307 Loss_D_real: -0.008774 Loss_D_fake 0.011319
[1406/5000][465/535][145126] Loss_D: -0.018512 Loss_G: 0.025532 Loss_D_real: -0.030481 Loss_D_fake -0.011969
[1406/5000][470/535][145127] Loss_D: -0.018634 Loss_G: -0.016186 Loss_D_real: -0.006747 Loss_D_fake 0.011887
[1406/5000][475/535][145128] Loss_D: -0.018381 Loss_G: 0.027154 Loss_D_real: -0.027722 Loss_D_fake -0.009341
[1406/5000][480/535][145129] Loss_D: -0.020107 Loss_G: 0.006948 Loss_D_real: -0.020880 Loss_D_fake -0.000773
[1406/5000][485/535][145130] Loss_D: -0.020365 Loss_G: 0.006425 Loss_D_real: -0.023470 Loss_D_fake -0.003104
[1406/5000][490/535][145131] Loss_D: -0.020313 Loss_G: -0.005917 Loss_D_real: -0.006747 Loss_D_fake 0.013566
[1406/5000][495/535][145132] Loss_D: -0.019977 Loss_G: 0.010227 Loss_D_real: -0.017760 Loss_D_fake 0.002217
[1406/5000][500/535][145133] Loss_D: -0.018733 Loss_G: 0.005372 Loss_D_real: -0.013424 Loss_D_fake 0.005309
[1406/5000][505/535][145134] Loss_D: -0.021390 Loss_G: -0.007434 Loss_D_real: -0.029700 Loss_D_fake -0.008310
[1406/5000][510/535][145135] Loss_D: -0.020375 Loss_G: -0.000098 Loss_D_real: -0.003131 Loss_D_fake 0.017244
[1406/5000][515/535][145136] Loss_D: -0.019110 Loss_G: 0.018375 Loss_D_real: -0.022824 Loss_D_fake -0.003715
[1406/5000][520/535][145137] Loss_D: -0.020647 Loss_G: 0.022258 Loss_D_real: -0.030920 Loss_D_fake -0.010273
[1406/5000][525/535][145138] Loss_D: -0.021008 Loss_G: 0.011372 Loss_D_real: -0.022134 Loss_D_fake -0.001126
[1406/5000][530/535][145139] Loss_D: -0.020404 Loss_G: -0.000278 Loss_D_real: -0.012660 Loss_D_fake 0.007743
[1406/5000][535/535][145140] Loss_D: -0.018227 Loss_G: 0.009478 Loss_D_real: -0.013623 Loss_D_fake 0.004603
[1407/5000][5/535][145141] Loss_D: -0.018499 Loss_G: 0.024046 Loss_D_real: -0.031683 Loss_D_fake -0.013184
[1407/5000][10/535][145142] Loss_D: -0.020843 Loss_G: -0.004801 Loss_D_real: -0.018940 Loss_D_fake 0.001903
[1407/5000][15/535][145143] Loss_D: -0.020039 Loss_G: 0.014050 Loss_D_real: -0.015641 Loss_D_fake 0.004399
[1407/5000][20/535][145144] Loss_D: -0.020487 Loss_G: -0.010579 Loss_D_real: -0.011739 Loss_D_fake 0.008748
[1407/5000][25/535][145145] Loss_D: -0.019242 Loss_G: 0.025330 Loss_D_real: -0.019763 Loss_D_fake -0.000521
[1407/5000][30/535][145146] Loss_D: -0.021454 Loss_G: 0.014653 Loss_D_real: -0.013661 Loss_D_fake 0.007793
[1407/5000][35/535][145147] Loss_D: -0.019404 Loss_G: 0.006455 Loss_D_real: -0.026229 Loss_D_fake -0.006825
[1407/5000][40/535][145148] Loss_D: -0.020638 Loss_G: 0.021197 Loss_D_real: -0.027180 Loss_D_fake -0.006542
[1407/5000][45/535][145149] Loss_D: -0.019205 Loss_G: -0.000469 Loss_D_real: -0.004619 Loss_D_fake 0.014586
[1407/5000][50/535][145150] Loss_D: -0.020538 Loss_G: 0.015081 Loss_D_real: -0.016174 Loss_D_fake 0.004365
[1407/5000][55/535][145151] Loss_D: -0.020359 Loss_G: 0.006802 Loss_D_real: -0.018649 Loss_D_fake 0.001710
[1407/5000][60/535][145152] Loss_D: -0.019762 Loss_G: 0.028217 Loss_D_real: -0.032091 Loss_D_fake -0.012328
[1407/5000][65/535][145153] Loss_D: -0.020510 Loss_G: -0.003246 Loss_D_real: -0.020287 Loss_D_fake 0.000223
[1407/5000][70/535][145154] Loss_D: -0.019843 Loss_G: 0.018294 Loss_D_real: -0.014856 Loss_D_fake 0.004987
[1407/5000][75/535][145155] Loss_D: -0.020573 Loss_G: -0.008855 Loss_D_real: -0.000169 Loss_D_fake 0.020404
[1407/5000][80/535][145156] Loss_D: -0.019561 Loss_G: 0.021098 Loss_D_real: -0.021765 Loss_D_fake -0.002204
[1407/5000][85/535][145157] Loss_D: -0.019181 Loss_G: 0.014776 Loss_D_real: -0.027422 Loss_D_fake -0.008241
[1407/5000][90/535][145158] Loss_D: -0.019878 Loss_G: 0.016277 Loss_D_real: -0.017938 Loss_D_fake 0.001940
[1407/5000][95/535][145159] Loss_D: -0.020017 Loss_G: 0.014479 Loss_D_real: -0.011286 Loss_D_fake 0.008731
[1407/5000][100/535][145160] Loss_D: -0.019813 Loss_G: 0.019051 Loss_D_real: -0.023755 Loss_D_fake -0.003942
[1407/5000][105/535][145161] Loss_D: -0.020248 Loss_G: -0.022829 Loss_D_real: -0.007025 Loss_D_fake 0.013223
[1407/5000][110/535][145162] Loss_D: -0.020123 Loss_G: 0.004935 Loss_D_real: -0.016932 Loss_D_fake 0.003192
[1407/5000][115/535][145163] Loss_D: -0.020411 Loss_G: 0.003215 Loss_D_real: -0.021238 Loss_D_fake -0.000828
[1407/5000][120/535][145164] Loss_D: -0.020473 Loss_G: 0.006751 Loss_D_real: -0.017846 Loss_D_fake 0.002626
[1407/5000][125/535][145165] Loss_D: -0.019480 Loss_G: 0.027297 Loss_D_real: -0.021052 Loss_D_fake -0.001572
[1407/5000][130/535][145166] Loss_D: -0.020210 Loss_G: 0.009425 Loss_D_real: -0.021575 Loss_D_fake -0.001364
[1407/5000][135/535][145167] Loss_D: -0.019829 Loss_G: -0.010235 Loss_D_real: -0.002120 Loss_D_fake 0.017709
[1407/5000][140/535][145168] Loss_D: -0.017156 Loss_G: 0.027818 Loss_D_real: -0.036110 Loss_D_fake -0.018954
[1407/5000][145/535][145169] Loss_D: -0.018453 Loss_G: 0.026548 Loss_D_real: -0.032382 Loss_D_fake -0.013928
[1407/5000][150/535][145170] Loss_D: -0.019848 Loss_G: 0.013596 Loss_D_real: -0.028036 Loss_D_fake -0.008188
[1407/5000][155/535][145171] Loss_D: -0.021007 Loss_G: -0.010979 Loss_D_real: -0.006754 Loss_D_fake 0.014253
[1407/5000][160/535][145172] Loss_D: -0.019598 Loss_G: 0.005492 Loss_D_real: -0.005709 Loss_D_fake 0.013890
[1407/5000][165/535][145173] Loss_D: -0.019992 Loss_G: -0.016869 Loss_D_real: -0.010197 Loss_D_fake 0.009795
[1407/5000][170/535][145174] Loss_D: -0.018611 Loss_G: 0.024454 Loss_D_real: -0.034036 Loss_D_fake -0.015425
[1407/5000][175/535][145175] Loss_D: -0.021177 Loss_G: 0.013770 Loss_D_real: -0.019653 Loss_D_fake 0.001523
[1407/5000][180/535][145176] Loss_D: -0.020026 Loss_G: -0.013464 Loss_D_real: 0.000124 Loss_D_fake 0.020150
[1407/5000][185/535][145177] Loss_D: -0.020120 Loss_G: 0.022316 Loss_D_real: -0.022392 Loss_D_fake -0.002272
[1407/5000][190/535][145178] Loss_D: -0.021053 Loss_G: 0.010651 Loss_D_real: -0.025489 Loss_D_fake -0.004436
[1407/5000][195/535][145179] Loss_D: -0.019325 Loss_G: 0.025256 Loss_D_real: -0.022832 Loss_D_fake -0.003507
[1407/5000][200/535][145180] Loss_D: -0.020767 Loss_G: 0.011521 Loss_D_real: -0.017779 Loss_D_fake 0.002988
[1407/5000][205/535][145181] Loss_D: -0.019778 Loss_G: -0.001863 Loss_D_real: -0.020997 Loss_D_fake -0.001219
[1407/5000][210/535][145182] Loss_D: -0.020219 Loss_G: -0.001280 Loss_D_real: -0.006089 Loss_D_fake 0.014130
[1407/5000][215/535][145183] Loss_D: -0.018299 Loss_G: -0.003042 Loss_D_real: -0.005776 Loss_D_fake 0.012523
[1407/5000][220/535][145184] Loss_D: -0.021217 Loss_G: 0.015052 Loss_D_real: -0.012556 Loss_D_fake 0.008661
[1407/5000][225/535][145185] Loss_D: -0.019292 Loss_G: 0.016845 Loss_D_real: -0.016193 Loss_D_fake 0.003098
[1407/5000][230/535][145186] Loss_D: -0.020412 Loss_G: 0.001678 Loss_D_real: -0.014004 Loss_D_fake 0.006409
[1407/5000][235/535][145187] Loss_D: -0.020349 Loss_G: 0.000545 Loss_D_real: -0.017442 Loss_D_fake 0.002907
[1407/5000][240/535][145188] Loss_D: -0.020275 Loss_G: 0.012081 Loss_D_real: -0.016385 Loss_D_fake 0.003889
[1407/5000][245/535][145189] Loss_D: -0.020515 Loss_G: -0.002999 Loss_D_real: -0.019006 Loss_D_fake 0.001510
[1407/5000][250/535][145190] Loss_D: -0.020475 Loss_G: -0.004551 Loss_D_real: -0.000025 Loss_D_fake 0.020450
[1407/5000][255/535][145191] Loss_D: -0.019515 Loss_G: 0.011842 Loss_D_real: -0.024337 Loss_D_fake -0.004822
[1407/5000][260/535][145192] Loss_D: -0.020786 Loss_G: 0.011098 Loss_D_real: -0.014622 Loss_D_fake 0.006164
[1407/5000][265/535][145193] Loss_D: -0.019227 Loss_G: 0.011994 Loss_D_real: -0.023496 Loss_D_fake -0.004268
[1407/5000][270/535][145194] Loss_D: -0.021525 Loss_G: 0.002568 Loss_D_real: -0.020986 Loss_D_fake 0.000539
[1407/5000][275/535][145195] Loss_D: -0.018965 Loss_G: -0.014629 Loss_D_real: -0.000352 Loss_D_fake 0.018613
[1407/5000][280/535][145196] Loss_D: -0.020162 Loss_G: -0.006051 Loss_D_real: -0.005358 Loss_D_fake 0.014804
[1407/5000][285/535][145197] Loss_D: -0.019782 Loss_G: -0.010262 Loss_D_real: -0.011010 Loss_D_fake 0.008771
[1407/5000][290/535][145198] Loss_D: -0.019529 Loss_G: 0.018841 Loss_D_real: -0.023533 Loss_D_fake -0.004004
[1407/5000][295/535][145199] Loss_D: -0.021207 Loss_G: 0.004205 Loss_D_real: -0.013712 Loss_D_fake 0.007496
[1407/5000][300/535][145200] Loss_D: -0.020523 Loss_G: 0.023446 Loss_D_real: -0.013658 Loss_D_fake 0.006865
[1407/5000][305/535][145201] Loss_D: -0.019786 Loss_G: 0.007254 Loss_D_real: -0.018995 Loss_D_fake 0.000791
[1407/5000][310/535][145202] Loss_D: -0.020325 Loss_G: 0.027684 Loss_D_real: -0.033472 Loss_D_fake -0.013147
[1407/5000][315/535][145203] Loss_D: -0.019632 Loss_G: 0.021339 Loss_D_real: -0.033619 Loss_D_fake -0.013987
[1407/5000][320/535][145204] Loss_D: -0.020371 Loss_G: 0.013244 Loss_D_real: -0.019510 Loss_D_fake 0.000861
[1407/5000][325/535][145205] Loss_D: -0.019880 Loss_G: 0.017292 Loss_D_real: -0.031847 Loss_D_fake -0.011968
[1407/5000][330/535][145206] Loss_D: -0.019236 Loss_G: 0.015655 Loss_D_real: -0.007006 Loss_D_fake 0.012230
[1407/5000][335/535][145207] Loss_D: -0.019870 Loss_G: 0.011424 Loss_D_real: -0.025251 Loss_D_fake -0.005381
[1407/5000][340/535][145208] Loss_D: -0.020793 Loss_G: -0.000074 Loss_D_real: -0.006338 Loss_D_fake 0.014455
[1407/5000][345/535][145209] Loss_D: -0.019410 Loss_G: 0.019175 Loss_D_real: -0.023067 Loss_D_fake -0.003657
[1407/5000][350/535][145210] Loss_D: -0.019160 Loss_G: 0.004299 Loss_D_real: -0.010877 Loss_D_fake 0.008284
[1407/5000][355/535][145211] Loss_D: -0.019684 Loss_G: -0.011086 Loss_D_real: -0.000908 Loss_D_fake 0.018776
[1407/5000][360/535][145212] Loss_D: -0.019952 Loss_G: 0.003381 Loss_D_real: -0.020421 Loss_D_fake -0.000469
[1407/5000][365/535][145213] Loss_D: -0.021257 Loss_G: 0.001828 Loss_D_real: -0.012985 Loss_D_fake 0.008271
[1407/5000][370/535][145214] Loss_D: -0.019859 Loss_G: 0.001755 Loss_D_real: -0.015144 Loss_D_fake 0.004715
[1407/5000][375/535][145215] Loss_D: -0.021417 Loss_G: -0.013027 Loss_D_real: -0.011466 Loss_D_fake 0.009951
[1407/5000][380/535][145216] Loss_D: -0.019636 Loss_G: 0.023150 Loss_D_real: -0.021397 Loss_D_fake -0.001761
[1407/5000][385/535][145217] Loss_D: -0.019436 Loss_G: 0.009132 Loss_D_real: -0.027640 Loss_D_fake -0.008204
[1407/5000][390/535][145218] Loss_D: -0.020402 Loss_G: 0.007005 Loss_D_real: -0.021799 Loss_D_fake -0.001397
[1407/5000][395/535][145219] Loss_D: -0.020164 Loss_G: 0.009852 Loss_D_real: -0.031223 Loss_D_fake -0.011059
[1407/5000][400/535][145220] Loss_D: -0.020084 Loss_G: 0.011965 Loss_D_real: -0.019937 Loss_D_fake 0.000147
[1407/5000][405/535][145221] Loss_D: -0.020905 Loss_G: 0.004883 Loss_D_real: -0.003077 Loss_D_fake 0.017828
[1407/5000][410/535][145222] Loss_D: -0.019392 Loss_G: 0.019679 Loss_D_real: -0.029197 Loss_D_fake -0.009804
[1407/5000][415/535][145223] Loss_D: -0.019337 Loss_G: -0.008703 Loss_D_real: -0.012435 Loss_D_fake 0.006902
[1407/5000][420/535][145224] Loss_D: -0.018877 Loss_G: 0.026378 Loss_D_real: -0.019156 Loss_D_fake -0.000279
[1407/5000][425/535][145225] Loss_D: -0.019321 Loss_G: -0.008162 Loss_D_real: -0.010678 Loss_D_fake 0.008643
[1407/5000][430/535][145226] Loss_D: -0.020040 Loss_G: 0.011260 Loss_D_real: -0.016393 Loss_D_fake 0.003647
[1407/5000][435/535][145227] Loss_D: -0.019488 Loss_G: 0.016407 Loss_D_real: -0.021779 Loss_D_fake -0.002291
[1407/5000][440/535][145228] Loss_D: -0.018947 Loss_G: -0.002849 Loss_D_real: -0.004079 Loss_D_fake 0.014868
[1407/5000][445/535][145229] Loss_D: -0.019990 Loss_G: -0.005650 Loss_D_real: -0.028146 Loss_D_fake -0.008156
[1407/5000][450/535][145230] Loss_D: -0.019231 Loss_G: -0.004231 Loss_D_real: -0.028968 Loss_D_fake -0.009737
[1407/5000][455/535][145231] Loss_D: -0.020097 Loss_G: 0.029058 Loss_D_real: -0.028186 Loss_D_fake -0.008089
[1407/5000][460/535][145232] Loss_D: -0.019183 Loss_G: -0.002099 Loss_D_real: -0.011693 Loss_D_fake 0.007491
[1407/5000][465/535][145233] Loss_D: -0.019143 Loss_G: 0.002990 Loss_D_real: 0.002564 Loss_D_fake 0.021707
[1407/5000][470/535][145234] Loss_D: -0.020683 Loss_G: 0.015164 Loss_D_real: -0.017186 Loss_D_fake 0.003496
[1407/5000][475/535][145235] Loss_D: -0.019692 Loss_G: 0.010882 Loss_D_real: -0.017939 Loss_D_fake 0.001752
[1407/5000][480/535][145236] Loss_D: -0.020070 Loss_G: 0.001873 Loss_D_real: -0.014101 Loss_D_fake 0.005968
[1407/5000][485/535][145237] Loss_D: -0.020553 Loss_G: -0.004169 Loss_D_real: -0.006103 Loss_D_fake 0.014451
[1407/5000][490/535][145238] Loss_D: -0.020016 Loss_G: -0.006402 Loss_D_real: -0.013930 Loss_D_fake 0.006086
[1407/5000][495/535][145239] Loss_D: -0.020011 Loss_G: -0.002532 Loss_D_real: -0.009477 Loss_D_fake 0.010533
[1407/5000][500/535][145240] Loss_D: -0.021745 Loss_G: 0.011240 Loss_D_real: -0.024911 Loss_D_fake -0.003166
[1407/5000][505/535][145241] Loss_D: -0.019578 Loss_G: 0.019382 Loss_D_real: -0.023231 Loss_D_fake -0.003653
[1407/5000][510/535][145242] Loss_D: -0.019699 Loss_G: -0.000969 Loss_D_real: -0.006408 Loss_D_fake 0.013290
[1407/5000][515/535][145243] Loss_D: -0.018796 Loss_G: 0.002008 Loss_D_real: -0.013843 Loss_D_fake 0.004954
[1407/5000][520/535][145244] Loss_D: -0.019147 Loss_G: 0.019088 Loss_D_real: -0.028926 Loss_D_fake -0.009779
[1407/5000][525/535][145245] Loss_D: -0.019986 Loss_G: -0.008798 Loss_D_real: -0.019454 Loss_D_fake 0.000532
[1407/5000][530/535][145246] Loss_D: -0.020802 Loss_G: 0.022988 Loss_D_real: -0.023052 Loss_D_fake -0.002251
[1407/5000][535/535][145247] Loss_D: -0.020638 Loss_G: 0.055250 Loss_D_real: -0.031014 Loss_D_fake -0.010376
[1408/5000][5/535][145248] Loss_D: -0.019248 Loss_G: 0.020617 Loss_D_real: -0.024501 Loss_D_fake -0.005253
[1408/5000][10/535][145249] Loss_D: -0.019602 Loss_G: 0.008809 Loss_D_real: -0.023600 Loss_D_fake -0.003997
[1408/5000][15/535][145250] Loss_D: -0.020549 Loss_G: 0.014994 Loss_D_real: -0.022931 Loss_D_fake -0.002383
[1408/5000][20/535][145251] Loss_D: -0.020312 Loss_G: 0.000233 Loss_D_real: -0.032361 Loss_D_fake -0.012049
[1408/5000][25/535][145252] Loss_D: -0.020326 Loss_G: -0.000221 Loss_D_real: 0.000040 Loss_D_fake 0.020365
[1408/5000][30/535][145253] Loss_D: -0.020005 Loss_G: 0.017304 Loss_D_real: -0.021620 Loss_D_fake -0.001616
[1408/5000][35/535][145254] Loss_D: -0.020099 Loss_G: 0.007372 Loss_D_real: -0.017884 Loss_D_fake 0.002215
[1408/5000][40/535][145255] Loss_D: -0.019806 Loss_G: 0.001783 Loss_D_real: -0.010447 Loss_D_fake 0.009360
[1408/5000][45/535][145256] Loss_D: -0.021424 Loss_G: 0.021239 Loss_D_real: -0.022524 Loss_D_fake -0.001100
[1408/5000][50/535][145257] Loss_D: -0.020718 Loss_G: -0.000319 Loss_D_real: -0.009124 Loss_D_fake 0.011595
[1408/5000][55/535][145258] Loss_D: -0.017869 Loss_G: 0.019500 Loss_D_real: -0.024076 Loss_D_fake -0.006207
[1408/5000][60/535][145259] Loss_D: -0.018238 Loss_G: 0.002510 Loss_D_real: -0.009777 Loss_D_fake 0.008461
[1408/5000][65/535][145260] Loss_D: -0.021058 Loss_G: 0.010651 Loss_D_real: -0.014976 Loss_D_fake 0.006082
[1408/5000][70/535][145261] Loss_D: -0.019943 Loss_G: 0.006208 Loss_D_real: -0.030694 Loss_D_fake -0.010751
[1408/5000][75/535][145262] Loss_D: -0.019926 Loss_G: 0.011068 Loss_D_real: -0.015554 Loss_D_fake 0.004372
[1408/5000][80/535][145263] Loss_D: -0.019212 Loss_G: 0.000895 Loss_D_real: -0.011279 Loss_D_fake 0.007933
[1408/5000][85/535][145264] Loss_D: -0.019921 Loss_G: -0.005568 Loss_D_real: -0.005865 Loss_D_fake 0.014056
[1408/5000][90/535][145265] Loss_D: -0.018584 Loss_G: 0.003709 Loss_D_real: -0.006398 Loss_D_fake 0.012187
[1408/5000][95/535][145266] Loss_D: -0.019424 Loss_G: -0.002943 Loss_D_real: -0.020270 Loss_D_fake -0.000845
[1408/5000][100/535][145267] Loss_D: -0.019048 Loss_G: 0.022808 Loss_D_real: -0.008526 Loss_D_fake 0.010522
[1408/5000][105/535][145268] Loss_D: -0.019531 Loss_G: 0.010013 Loss_D_real: -0.018157 Loss_D_fake 0.001374
[1408/5000][110/535][145269] Loss_D: -0.019973 Loss_G: 0.000664 Loss_D_real: -0.007426 Loss_D_fake 0.012547
[1408/5000][115/535][145270] Loss_D: -0.021409 Loss_G: 0.016151 Loss_D_real: -0.022677 Loss_D_fake -0.001269
[1408/5000][120/535][145271] Loss_D: -0.020394 Loss_G: -0.001359 Loss_D_real: -0.012572 Loss_D_fake 0.007822
[1408/5000][125/535][145272] Loss_D: -0.019070 Loss_G: 0.017824 Loss_D_real: -0.018420 Loss_D_fake 0.000650
[1408/5000][130/535][145273] Loss_D: -0.020873 Loss_G: 0.018467 Loss_D_real: -0.027787 Loss_D_fake -0.006914
[1408/5000][135/535][145274] Loss_D: -0.019380 Loss_G: 0.021243 Loss_D_real: -0.029549 Loss_D_fake -0.010169
[1408/5000][140/535][145275] Loss_D: -0.022257 Loss_G: 0.006403 Loss_D_real: -0.017815 Loss_D_fake 0.004442
[1408/5000][145/535][145276] Loss_D: -0.020756 Loss_G: -0.003741 Loss_D_real: -0.017830 Loss_D_fake 0.002926
[1408/5000][150/535][145277] Loss_D: -0.022441 Loss_G: 0.001068 Loss_D_real: -0.026303 Loss_D_fake -0.003862
[1408/5000][155/535][145278] Loss_D: -0.019925 Loss_G: 0.000350 Loss_D_real: -0.012636 Loss_D_fake 0.007288
[1408/5000][160/535][145279] Loss_D: -0.019568 Loss_G: 0.030536 Loss_D_real: -0.027609 Loss_D_fake -0.008041
[1408/5000][165/535][145280] Loss_D: -0.020180 Loss_G: -0.010643 Loss_D_real: -0.003210 Loss_D_fake 0.016970
[1408/5000][170/535][145281] Loss_D: -0.020085 Loss_G: -0.001461 Loss_D_real: -0.014353 Loss_D_fake 0.005732
[1408/5000][175/535][145282] Loss_D: -0.020364 Loss_G: 0.006248 Loss_D_real: -0.013441 Loss_D_fake 0.006923
[1408/5000][180/535][145283] Loss_D: -0.019771 Loss_G: 0.022841 Loss_D_real: -0.027115 Loss_D_fake -0.007345
[1408/5000][185/535][145284] Loss_D: -0.020798 Loss_G: -0.005907 Loss_D_real: -0.008981 Loss_D_fake 0.011817
[1408/5000][190/535][145285] Loss_D: -0.020639 Loss_G: 0.014158 Loss_D_real: -0.010993 Loss_D_fake 0.009646
[1408/5000][195/535][145286] Loss_D: -0.021033 Loss_G: 0.010053 Loss_D_real: -0.018552 Loss_D_fake 0.002482
[1408/5000][200/535][145287] Loss_D: -0.019256 Loss_G: 0.021870 Loss_D_real: -0.021674 Loss_D_fake -0.002419
[1408/5000][205/535][145288] Loss_D: -0.019585 Loss_G: 0.003863 Loss_D_real: -0.018894 Loss_D_fake 0.000691
[1408/5000][210/535][145289] Loss_D: -0.020859 Loss_G: 0.019543 Loss_D_real: -0.022176 Loss_D_fake -0.001317
[1408/5000][215/535][145290] Loss_D: -0.020370 Loss_G: 0.005051 Loss_D_real: -0.016230 Loss_D_fake 0.004140
[1408/5000][220/535][145291] Loss_D: -0.019409 Loss_G: -0.002468 Loss_D_real: -0.017961 Loss_D_fake 0.001449
[1408/5000][225/535][145292] Loss_D: -0.019449 Loss_G: 0.004438 Loss_D_real: -0.008695 Loss_D_fake 0.010754
[1408/5000][230/535][145293] Loss_D: -0.019426 Loss_G: 0.003677 Loss_D_real: -0.013156 Loss_D_fake 0.006270
[1408/5000][235/535][145294] Loss_D: -0.019775 Loss_G: 0.015822 Loss_D_real: -0.022964 Loss_D_fake -0.003189
[1408/5000][240/535][145295] Loss_D: -0.018656 Loss_G: 0.010550 Loss_D_real: -0.035507 Loss_D_fake -0.016851
[1408/5000][245/535][145296] Loss_D: -0.019925 Loss_G: 0.003144 Loss_D_real: -0.019097 Loss_D_fake 0.000828
[1408/5000][250/535][145297] Loss_D: -0.019551 Loss_G: 0.007773 Loss_D_real: -0.020870 Loss_D_fake -0.001319
[1408/5000][255/535][145298] Loss_D: -0.020345 Loss_G: 0.010846 Loss_D_real: -0.019642 Loss_D_fake 0.000703
[1408/5000][260/535][145299] Loss_D: -0.020700 Loss_G: -0.001543 Loss_D_real: -0.018835 Loss_D_fake 0.001864
[1408/5000][265/535][145300] Loss_D: -0.018774 Loss_G: -0.001434 Loss_D_real: -0.023600 Loss_D_fake -0.004826
[1408/5000][270/535][145301] Loss_D: -0.020829 Loss_G: -0.008248 Loss_D_real: -0.009251 Loss_D_fake 0.011577
[1408/5000][275/535][145302] Loss_D: -0.019989 Loss_G: 0.022266 Loss_D_real: -0.020904 Loss_D_fake -0.000915
[1408/5000][280/535][145303] Loss_D: -0.020280 Loss_G: 0.022337 Loss_D_real: -0.028507 Loss_D_fake -0.008227
[1408/5000][285/535][145304] Loss_D: -0.019573 Loss_G: 0.005173 Loss_D_real: -0.025251 Loss_D_fake -0.005678
[1408/5000][290/535][145305] Loss_D: -0.020149 Loss_G: -0.001142 Loss_D_real: -0.025892 Loss_D_fake -0.005744
[1408/5000][295/535][145306] Loss_D: -0.018814 Loss_G: 0.012659 Loss_D_real: -0.016698 Loss_D_fake 0.002115
[1408/5000][300/535][145307] Loss_D: -0.019303 Loss_G: 0.015354 Loss_D_real: -0.024410 Loss_D_fake -0.005107
[1408/5000][305/535][145308] Loss_D: -0.020262 Loss_G: 0.003685 Loss_D_real: -0.017744 Loss_D_fake 0.002518
[1408/5000][310/535][145309] Loss_D: -0.020055 Loss_G: 0.016914 Loss_D_real: -0.010869 Loss_D_fake 0.009186
[1408/5000][315/535][145310] Loss_D: -0.019554 Loss_G: 0.012579 Loss_D_real: -0.025419 Loss_D_fake -0.005865
[1408/5000][320/535][145311] Loss_D: -0.019573 Loss_G: -0.006781 Loss_D_real: -0.007165 Loss_D_fake 0.012407
[1408/5000][325/535][145312] Loss_D: -0.020143 Loss_G: 0.005529 Loss_D_real: -0.008026 Loss_D_fake 0.012117
[1408/5000][330/535][145313] Loss_D: -0.019326 Loss_G: -0.003815 Loss_D_real: -0.014370 Loss_D_fake 0.004956
[1408/5000][335/535][145314] Loss_D: -0.017596 Loss_G: 0.019915 Loss_D_real: -0.033588 Loss_D_fake -0.015992
[1408/5000][340/535][145315] Loss_D: -0.019766 Loss_G: 0.011605 Loss_D_real: -0.020237 Loss_D_fake -0.000471
[1408/5000][345/535][145316] Loss_D: -0.019300 Loss_G: 0.014379 Loss_D_real: -0.018608 Loss_D_fake 0.000693
[1408/5000][350/535][145317] Loss_D: -0.019316 Loss_G: 0.000101 Loss_D_real: -0.024625 Loss_D_fake -0.005310
[1408/5000][355/535][145318] Loss_D: -0.019167 Loss_G: 0.006170 Loss_D_real: -0.017955 Loss_D_fake 0.001211
[1408/5000][360/535][145319] Loss_D: -0.019103 Loss_G: 0.008505 Loss_D_real: -0.017253 Loss_D_fake 0.001850
[1408/5000][365/535][145320] Loss_D: -0.018999 Loss_G: 0.026029 Loss_D_real: -0.029264 Loss_D_fake -0.010265
[1408/5000][370/535][145321] Loss_D: -0.020330 Loss_G: -0.001612 Loss_D_real: -0.006437 Loss_D_fake 0.013893
[1408/5000][375/535][145322] Loss_D: -0.020694 Loss_G: -0.008741 Loss_D_real: -0.014740 Loss_D_fake 0.005954
[1408/5000][380/535][145323] Loss_D: -0.021210 Loss_G: -0.001498 Loss_D_real: -0.001176 Loss_D_fake 0.020035
[1408/5000][385/535][145324] Loss_D: -0.019810 Loss_G: -0.002545 Loss_D_real: -0.009516 Loss_D_fake 0.010294
[1408/5000][390/535][145325] Loss_D: -0.019987 Loss_G: 0.019462 Loss_D_real: -0.024956 Loss_D_fake -0.004969
[1408/5000][395/535][145326] Loss_D: -0.019647 Loss_G: -0.003309 Loss_D_real: -0.014850 Loss_D_fake 0.004796
[1408/5000][400/535][145327] Loss_D: -0.020551 Loss_G: 0.003121 Loss_D_real: -0.024817 Loss_D_fake -0.004266
[1408/5000][405/535][145328] Loss_D: -0.020071 Loss_G: 0.008753 Loss_D_real: -0.005843 Loss_D_fake 0.014228
[1408/5000][410/535][145329] Loss_D: -0.021577 Loss_G: 0.013853 Loss_D_real: -0.027424 Loss_D_fake -0.005847
[1408/5000][415/535][145330] Loss_D: -0.019709 Loss_G: 0.013613 Loss_D_real: -0.020275 Loss_D_fake -0.000566
[1408/5000][420/535][145331] Loss_D: -0.019194 Loss_G: 0.011214 Loss_D_real: -0.017839 Loss_D_fake 0.001356
[1408/5000][425/535][145332] Loss_D: -0.019404 Loss_G: 0.002369 Loss_D_real: -0.006200 Loss_D_fake 0.013204
[1408/5000][430/535][145333] Loss_D: -0.019520 Loss_G: 0.010712 Loss_D_real: -0.018024 Loss_D_fake 0.001495
[1408/5000][435/535][145334] Loss_D: -0.020223 Loss_G: 0.025104 Loss_D_real: -0.031302 Loss_D_fake -0.011079
[1408/5000][440/535][145335] Loss_D: -0.021933 Loss_G: -0.016391 Loss_D_real: -0.009732 Loss_D_fake 0.012201
[1408/5000][445/535][145336] Loss_D: -0.019581 Loss_G: 0.013822 Loss_D_real: -0.024818 Loss_D_fake -0.005237
[1408/5000][450/535][145337] Loss_D: -0.019698 Loss_G: 0.012853 Loss_D_real: -0.028586 Loss_D_fake -0.008888
[1408/5000][455/535][145338] Loss_D: -0.020585 Loss_G: 0.003761 Loss_D_real: -0.015522 Loss_D_fake 0.005063
[1408/5000][460/535][145339] Loss_D: -0.019854 Loss_G: 0.000680 Loss_D_real: -0.013227 Loss_D_fake 0.006627
[1408/5000][465/535][145340] Loss_D: -0.019915 Loss_G: -0.006603 Loss_D_real: -0.015897 Loss_D_fake 0.004018
[1408/5000][470/535][145341] Loss_D: -0.021050 Loss_G: 0.029385 Loss_D_real: -0.021285 Loss_D_fake -0.000235
[1408/5000][475/535][145342] Loss_D: -0.019253 Loss_G: 0.015593 Loss_D_real: -0.025752 Loss_D_fake -0.006499
[1408/5000][480/535][145343] Loss_D: -0.019559 Loss_G: 0.015513 Loss_D_real: -0.031617 Loss_D_fake -0.012058
[1408/5000][485/535][145344] Loss_D: -0.020900 Loss_G: 0.009483 Loss_D_real: -0.008365 Loss_D_fake 0.012535
[1408/5000][490/535][145345] Loss_D: -0.019351 Loss_G: -0.011612 Loss_D_real: -0.016667 Loss_D_fake 0.002683
[1408/5000][495/535][145346] Loss_D: -0.019861 Loss_G: 0.015710 Loss_D_real: -0.020216 Loss_D_fake -0.000355
[1408/5000][500/535][145347] Loss_D: -0.019595 Loss_G: -0.002312 Loss_D_real: -0.009443 Loss_D_fake 0.010152
[1408/5000][505/535][145348] Loss_D: -0.020179 Loss_G: 0.003733 Loss_D_real: -0.016654 Loss_D_fake 0.003525
[1408/5000][510/535][145349] Loss_D: -0.018920 Loss_G: 0.016342 Loss_D_real: -0.025690 Loss_D_fake -0.006771
[1408/5000][515/535][145350] Loss_D: -0.018570 Loss_G: 0.012202 Loss_D_real: -0.030022 Loss_D_fake -0.011451
[1408/5000][520/535][145351] Loss_D: -0.020233 Loss_G: 0.007360 Loss_D_real: -0.013153 Loss_D_fake 0.007079
[1408/5000][525/535][145352] Loss_D: -0.020884 Loss_G: -0.001405 Loss_D_real: -0.014793 Loss_D_fake 0.006092
[1408/5000][530/535][145353] Loss_D: -0.017274 Loss_G: 0.013097 Loss_D_real: -0.027794 Loss_D_fake -0.010519
[1408/5000][535/535][145354] Loss_D: -0.019515 Loss_G: 0.020419 Loss_D_real: -0.028394 Loss_D_fake -0.008879
[1409/5000][5/535][145355] Loss_D: -0.019126 Loss_G: 0.008876 Loss_D_real: -0.014434 Loss_D_fake 0.004692
[1409/5000][10/535][145356] Loss_D: -0.019463 Loss_G: 0.024049 Loss_D_real: -0.029061 Loss_D_fake -0.009598
[1409/5000][15/535][145357] Loss_D: -0.019899 Loss_G: -0.013990 Loss_D_real: -0.000188 Loss_D_fake 0.019711
[1409/5000][20/535][145358] Loss_D: -0.018840 Loss_G: -0.001007 Loss_D_real: -0.016136 Loss_D_fake 0.002704
[1409/5000][25/535][145359] Loss_D: -0.018945 Loss_G: -0.005550 Loss_D_real: 0.000113 Loss_D_fake 0.019058
[1409/5000][30/535][145360] Loss_D: -0.018242 Loss_G: 0.001356 Loss_D_real: 0.001445 Loss_D_fake 0.019686
[1409/5000][35/535][145361] Loss_D: -0.017452 Loss_G: 0.031348 Loss_D_real: -0.020245 Loss_D_fake -0.002793
[1409/5000][40/535][145362] Loss_D: -0.020298 Loss_G: 0.008964 Loss_D_real: -0.011849 Loss_D_fake 0.008449
[1409/5000][45/535][145363] Loss_D: -0.020648 Loss_G: 0.006488 Loss_D_real: -0.028200 Loss_D_fake -0.007553
[1409/5000][50/535][145364] Loss_D: -0.021051 Loss_G: 0.008216 Loss_D_real: -0.009309 Loss_D_fake 0.011742
[1409/5000][55/535][145365] Loss_D: -0.020293 Loss_G: 0.011196 Loss_D_real: -0.015875 Loss_D_fake 0.004418
[1409/5000][60/535][145366] Loss_D: -0.019992 Loss_G: 0.004621 Loss_D_real: -0.023525 Loss_D_fake -0.003533
[1409/5000][65/535][145367] Loss_D: -0.018437 Loss_G: -0.014307 Loss_D_real: 0.001642 Loss_D_fake 0.020079
[1409/5000][70/535][145368] Loss_D: -0.018563 Loss_G: 0.024877 Loss_D_real: -0.025831 Loss_D_fake -0.007267
[1409/5000][75/535][145369] Loss_D: -0.020389 Loss_G: 0.000680 Loss_D_real: -0.002112 Loss_D_fake 0.018277
[1409/5000][80/535][145370] Loss_D: -0.019786 Loss_G: 0.014187 Loss_D_real: -0.024273 Loss_D_fake -0.004487
[1409/5000][85/535][145371] Loss_D: -0.019910 Loss_G: -0.006811 Loss_D_real: -0.001967 Loss_D_fake 0.017943
[1409/5000][90/535][145372] Loss_D: -0.018840 Loss_G: 0.024226 Loss_D_real: -0.031910 Loss_D_fake -0.013070
[1409/5000][95/535][145373] Loss_D: -0.021378 Loss_G: 0.007278 Loss_D_real: -0.005336 Loss_D_fake 0.016043
[1409/5000][100/535][145374] Loss_D: -0.021509 Loss_G: 0.010305 Loss_D_real: -0.017099 Loss_D_fake 0.004410
[1409/5000][105/535][145375] Loss_D: -0.021050 Loss_G: 0.010288 Loss_D_real: -0.009076 Loss_D_fake 0.011973
[1409/5000][110/535][145376] Loss_D: -0.021212 Loss_G: -0.011873 Loss_D_real: -0.002322 Loss_D_fake 0.018890
[1409/5000][115/535][145377] Loss_D: -0.020059 Loss_G: -0.001373 Loss_D_real: 0.001920 Loss_D_fake 0.021979
[1409/5000][120/535][145378] Loss_D: -0.017842 Loss_G: -0.013870 Loss_D_real: -0.004039 Loss_D_fake 0.013804
[1409/5000][125/535][145379] Loss_D: -0.019220 Loss_G: 0.008058 Loss_D_real: -0.023755 Loss_D_fake -0.004536
[1409/5000][130/535][145380] Loss_D: -0.019859 Loss_G: -0.022065 Loss_D_real: -0.003150 Loss_D_fake 0.016708
[1409/5000][135/535][145381] Loss_D: -0.019406 Loss_G: 0.007430 Loss_D_real: -0.015866 Loss_D_fake 0.003540
[1409/5000][140/535][145382] Loss_D: -0.020077 Loss_G: 0.025832 Loss_D_real: -0.023298 Loss_D_fake -0.003221
[1409/5000][145/535][145383] Loss_D: -0.020431 Loss_G: 0.018492 Loss_D_real: -0.021662 Loss_D_fake -0.001232
[1409/5000][150/535][145384] Loss_D: -0.020425 Loss_G: -0.002610 Loss_D_real: -0.009222 Loss_D_fake 0.011203
[1409/5000][155/535][145385] Loss_D: -0.019688 Loss_G: -0.004638 Loss_D_real: -0.009469 Loss_D_fake 0.010219
[1409/5000][160/535][145386] Loss_D: -0.018993 Loss_G: 0.003197 Loss_D_real: -0.036402 Loss_D_fake -0.017409
[1409/5000][165/535][145387] Loss_D: -0.019589 Loss_G: 0.000515 Loss_D_real: -0.000363 Loss_D_fake 0.019226
[1409/5000][170/535][145388] Loss_D: -0.019701 Loss_G: 0.006760 Loss_D_real: -0.013941 Loss_D_fake 0.005760
[1409/5000][175/535][145389] Loss_D: -0.019635 Loss_G: 0.003864 Loss_D_real: -0.008129 Loss_D_fake 0.011506
[1409/5000][180/535][145390] Loss_D: -0.020781 Loss_G: -0.007848 Loss_D_real: -0.001508 Loss_D_fake 0.019273
[1409/5000][185/535][145391] Loss_D: -0.020096 Loss_G: -0.000041 Loss_D_real: -0.007145 Loss_D_fake 0.012951
[1409/5000][190/535][145392] Loss_D: -0.019826 Loss_G: 0.015856 Loss_D_real: -0.016578 Loss_D_fake 0.003248
[1409/5000][195/535][145393] Loss_D: -0.021440 Loss_G: 0.015859 Loss_D_real: -0.017737 Loss_D_fake 0.003704
[1409/5000][200/535][145394] Loss_D: -0.021174 Loss_G: 0.009178 Loss_D_real: -0.030274 Loss_D_fake -0.009101
[1409/5000][205/535][145395] Loss_D: -0.021423 Loss_G: -0.009898 Loss_D_real: -0.011707 Loss_D_fake 0.009716
[1409/5000][210/535][145396] Loss_D: -0.017653 Loss_G: 0.034779 Loss_D_real: -0.035594 Loss_D_fake -0.017941
[1409/5000][215/535][145397] Loss_D: -0.019609 Loss_G: 0.019306 Loss_D_real: -0.016106 Loss_D_fake 0.003503
[1409/5000][220/535][145398] Loss_D: -0.017649 Loss_G: -0.018795 Loss_D_real: -0.003937 Loss_D_fake 0.013712
[1409/5000][225/535][145399] Loss_D: -0.019361 Loss_G: 0.004716 Loss_D_real: -0.021486 Loss_D_fake -0.002125
[1409/5000][230/535][145400] Loss_D: -0.019183 Loss_G: 0.011691 Loss_D_real: -0.020236 Loss_D_fake -0.001053
[1409/5000][235/535][145401] Loss_D: -0.020618 Loss_G: 0.008943 Loss_D_real: -0.010809 Loss_D_fake 0.009809
[1409/5000][240/535][145402] Loss_D: -0.019718 Loss_G: -0.005467 Loss_D_real: -0.008922 Loss_D_fake 0.010796
[1409/5000][245/535][145403] Loss_D: -0.020175 Loss_G: 0.001815 Loss_D_real: -0.022665 Loss_D_fake -0.002490
[1409/5000][250/535][145404] Loss_D: -0.019985 Loss_G: -0.001403 Loss_D_real: -0.025956 Loss_D_fake -0.005971
[1409/5000][255/535][145405] Loss_D: -0.018768 Loss_G: 0.005556 Loss_D_real: -0.017459 Loss_D_fake 0.001309
[1409/5000][260/535][145406] Loss_D: -0.020139 Loss_G: 0.005980 Loss_D_real: -0.018471 Loss_D_fake 0.001669
[1409/5000][265/535][145407] Loss_D: -0.020192 Loss_G: 0.007490 Loss_D_real: -0.014251 Loss_D_fake 0.005941
[1409/5000][270/535][145408] Loss_D: -0.018734 Loss_G: -0.011965 Loss_D_real: 0.002706 Loss_D_fake 0.021440
[1409/5000][275/535][145409] Loss_D: -0.020589 Loss_G: 0.006091 Loss_D_real: -0.006121 Loss_D_fake 0.014468
[1409/5000][280/535][145410] Loss_D: -0.020490 Loss_G: 0.007384 Loss_D_real: -0.015363 Loss_D_fake 0.005127
[1409/5000][285/535][145411] Loss_D: -0.019532 Loss_G: -0.002780 Loss_D_real: -0.006995 Loss_D_fake 0.012537
[1409/5000][290/535][145412] Loss_D: -0.019083 Loss_G: 0.015160 Loss_D_real: -0.020811 Loss_D_fake -0.001728
[1409/5000][295/535][145413] Loss_D: -0.019431 Loss_G: -0.021877 Loss_D_real: -0.004028 Loss_D_fake 0.015403
[1409/5000][300/535][145414] Loss_D: -0.018534 Loss_G: 0.001004 Loss_D_real: -0.008950 Loss_D_fake 0.009584
[1409/5000][305/535][145415] Loss_D: -0.020641 Loss_G: 0.013297 Loss_D_real: -0.026775 Loss_D_fake -0.006134
[1409/5000][310/535][145416] Loss_D: -0.018984 Loss_G: -0.007128 Loss_D_real: -0.003201 Loss_D_fake 0.015783
[1409/5000][315/535][145417] Loss_D: -0.019073 Loss_G: 0.028022 Loss_D_real: -0.031534 Loss_D_fake -0.012461
[1409/5000][320/535][145418] Loss_D: -0.018128 Loss_G: 0.019320 Loss_D_real: -0.024505 Loss_D_fake -0.006377
[1409/5000][325/535][145419] Loss_D: -0.021631 Loss_G: -0.013774 Loss_D_real: -0.006027 Loss_D_fake 0.015604
[1409/5000][330/535][145420] Loss_D: -0.019922 Loss_G: 0.007995 Loss_D_real: -0.016802 Loss_D_fake 0.003120
[1409/5000][335/535][145421] Loss_D: -0.018418 Loss_G: 0.011435 Loss_D_real: -0.026152 Loss_D_fake -0.007734
[1409/5000][340/535][145422] Loss_D: -0.020991 Loss_G: 0.012198 Loss_D_real: -0.015256 Loss_D_fake 0.005735
[1409/5000][345/535][145423] Loss_D: -0.019394 Loss_G: 0.023617 Loss_D_real: -0.019904 Loss_D_fake -0.000509
[1409/5000][350/535][145424] Loss_D: -0.020618 Loss_G: 0.002057 Loss_D_real: -0.011206 Loss_D_fake 0.009412
[1409/5000][355/535][145425] Loss_D: -0.019216 Loss_G: -0.012483 Loss_D_real: -0.009696 Loss_D_fake 0.009520
[1409/5000][360/535][145426] Loss_D: -0.019780 Loss_G: 0.026538 Loss_D_real: -0.030334 Loss_D_fake -0.010553
[1409/5000][365/535][145427] Loss_D: -0.020048 Loss_G: -0.002487 Loss_D_real: -0.009211 Loss_D_fake 0.010837
[1409/5000][370/535][145428] Loss_D: -0.019074 Loss_G: -0.008087 Loss_D_real: -0.003443 Loss_D_fake 0.015631
[1409/5000][375/535][145429] Loss_D: -0.019899 Loss_G: 0.017876 Loss_D_real: -0.027345 Loss_D_fake -0.007445
[1409/5000][380/535][145430] Loss_D: -0.018742 Loss_G: 0.034000 Loss_D_real: -0.036274 Loss_D_fake -0.017532
[1409/5000][385/535][145431] Loss_D: -0.019799 Loss_G: 0.013014 Loss_D_real: -0.029587 Loss_D_fake -0.009788
[1409/5000][390/535][145432] Loss_D: -0.021416 Loss_G: 0.000925 Loss_D_real: -0.012046 Loss_D_fake 0.009370
[1409/5000][395/535][145433] Loss_D: -0.020405 Loss_G: 0.018190 Loss_D_real: -0.033637 Loss_D_fake -0.013233
[1409/5000][400/535][145434] Loss_D: -0.019855 Loss_G: -0.019640 Loss_D_real: -0.004082 Loss_D_fake 0.015773
[1409/5000][405/535][145435] Loss_D: -0.019491 Loss_G: 0.017296 Loss_D_real: -0.015535 Loss_D_fake 0.003956
[1409/5000][410/535][145436] Loss_D: -0.020711 Loss_G: 0.009696 Loss_D_real: -0.021549 Loss_D_fake -0.000839
[1409/5000][415/535][145437] Loss_D: -0.019645 Loss_G: 0.006486 Loss_D_real: -0.027895 Loss_D_fake -0.008250
[1409/5000][420/535][145438] Loss_D: -0.020182 Loss_G: 0.030316 Loss_D_real: -0.025572 Loss_D_fake -0.005390
[1409/5000][425/535][145439] Loss_D: -0.016882 Loss_G: 0.014775 Loss_D_real: -0.024473 Loss_D_fake -0.007591
[1409/5000][430/535][145440] Loss_D: -0.020379 Loss_G: -0.004344 Loss_D_real: -0.018008 Loss_D_fake 0.002371
[1409/5000][435/535][145441] Loss_D: -0.019722 Loss_G: 0.003121 Loss_D_real: -0.014765 Loss_D_fake 0.004957
[1409/5000][440/535][145442] Loss_D: -0.021618 Loss_G: 0.018304 Loss_D_real: -0.019310 Loss_D_fake 0.002308
[1409/5000][445/535][145443] Loss_D: -0.019219 Loss_G: 0.017010 Loss_D_real: -0.015272 Loss_D_fake 0.003948
[1409/5000][450/535][145444] Loss_D: -0.020434 Loss_G: -0.005969 Loss_D_real: 0.003370 Loss_D_fake 0.023804
[1409/5000][455/535][145445] Loss_D: -0.021705 Loss_G: 0.001925 Loss_D_real: -0.017554 Loss_D_fake 0.004150
[1409/5000][460/535][145446] Loss_D: -0.020168 Loss_G: 0.002552 Loss_D_real: -0.017098 Loss_D_fake 0.003070
[1409/5000][465/535][145447] Loss_D: -0.018835 Loss_G: 0.015161 Loss_D_real: -0.027990 Loss_D_fake -0.009156
[1409/5000][470/535][145448] Loss_D: -0.020800 Loss_G: -0.007178 Loss_D_real: -0.025483 Loss_D_fake -0.004683
[1409/5000][475/535][145449] Loss_D: -0.020260 Loss_G: 0.021647 Loss_D_real: -0.017979 Loss_D_fake 0.002281
[1409/5000][480/535][145450] Loss_D: -0.020553 Loss_G: 0.010611 Loss_D_real: -0.015218 Loss_D_fake 0.005335
[1409/5000][485/535][145451] Loss_D: -0.020386 Loss_G: 0.030657 Loss_D_real: -0.033885 Loss_D_fake -0.013500
[1409/5000][490/535][145452] Loss_D: -0.019892 Loss_G: -0.017452 Loss_D_real: 0.002113 Loss_D_fake 0.022005
[1409/5000][495/535][145453] Loss_D: -0.019789 Loss_G: 0.000468 Loss_D_real: 0.001447 Loss_D_fake 0.021236
[1409/5000][500/535][145454] Loss_D: -0.019841 Loss_G: 0.022976 Loss_D_real: -0.021698 Loss_D_fake -0.001857
[1409/5000][505/535][145455] Loss_D: -0.018834 Loss_G: -0.016225 Loss_D_real: -0.002034 Loss_D_fake 0.016800
[1409/5000][510/535][145456] Loss_D: -0.019703 Loss_G: 0.019344 Loss_D_real: -0.026435 Loss_D_fake -0.006732
[1409/5000][515/535][145457] Loss_D: -0.019989 Loss_G: 0.020342 Loss_D_real: -0.030368 Loss_D_fake -0.010379
[1409/5000][520/535][145458] Loss_D: -0.020253 Loss_G: 0.013625 Loss_D_real: -0.008126 Loss_D_fake 0.012127
[1409/5000][525/535][145459] Loss_D: -0.018914 Loss_G: 0.004939 Loss_D_real: -0.019738 Loss_D_fake -0.000824
[1409/5000][530/535][145460] Loss_D: -0.020607 Loss_G: -0.000370 Loss_D_real: -0.022823 Loss_D_fake -0.002216
[1409/5000][535/535][145461] Loss_D: -0.021632 Loss_G: 0.010664 Loss_D_real: -0.035326 Loss_D_fake -0.013694
[1410/5000][5/535][145462] Loss_D: -0.022490 Loss_G: 0.008003 Loss_D_real: -0.019721 Loss_D_fake 0.002769
[1410/5000][10/535][145463] Loss_D: -0.019874 Loss_G: -0.004732 Loss_D_real: -0.004774 Loss_D_fake 0.015101
[1410/5000][15/535][145464] Loss_D: -0.019502 Loss_G: 0.010986 Loss_D_real: -0.014202 Loss_D_fake 0.005300
[1410/5000][20/535][145465] Loss_D: -0.020259 Loss_G: 0.000726 Loss_D_real: -0.013567 Loss_D_fake 0.006692
[1410/5000][25/535][145466] Loss_D: -0.019770 Loss_G: 0.019981 Loss_D_real: -0.022872 Loss_D_fake -0.003103
[1410/5000][30/535][145467] Loss_D: -0.020351 Loss_G: 0.000122 Loss_D_real: -0.022046 Loss_D_fake -0.001695
[1410/5000][35/535][145468] Loss_D: -0.019985 Loss_G: 0.005679 Loss_D_real: -0.029709 Loss_D_fake -0.009723
[1410/5000][40/535][145469] Loss_D: -0.019676 Loss_G: 0.024355 Loss_D_real: -0.023454 Loss_D_fake -0.003779
[1410/5000][45/535][145470] Loss_D: -0.020050 Loss_G: -0.000384 Loss_D_real: -0.001531 Loss_D_fake 0.018518
[1410/5000][50/535][145471] Loss_D: -0.019778 Loss_G: 0.012540 Loss_D_real: -0.020118 Loss_D_fake -0.000340
[1410/5000][55/535][145472] Loss_D: -0.021455 Loss_G: 0.010821 Loss_D_real: -0.025650 Loss_D_fake -0.004195
[1410/5000][60/535][145473] Loss_D: -0.019785 Loss_G: 0.000954 Loss_D_real: -0.006978 Loss_D_fake 0.012807
[1410/5000][65/535][145474] Loss_D: -0.019221 Loss_G: 0.010266 Loss_D_real: -0.027577 Loss_D_fake -0.008356
[1410/5000][70/535][145475] Loss_D: -0.020137 Loss_G: 0.026425 Loss_D_real: -0.025021 Loss_D_fake -0.004884
[1410/5000][75/535][145476] Loss_D: -0.020840 Loss_G: 0.007190 Loss_D_real: -0.007598 Loss_D_fake 0.013242
[1410/5000][80/535][145477] Loss_D: -0.019359 Loss_G: -0.004598 Loss_D_real: -0.009004 Loss_D_fake 0.010355
[1410/5000][85/535][145478] Loss_D: -0.020994 Loss_G: 0.007760 Loss_D_real: -0.008227 Loss_D_fake 0.012767
[1410/5000][90/535][145479] Loss_D: -0.017895 Loss_G: 0.022846 Loss_D_real: -0.024451 Loss_D_fake -0.006556
[1410/5000][95/535][145480] Loss_D: -0.020225 Loss_G: 0.021695 Loss_D_real: -0.030451 Loss_D_fake -0.010226
[1410/5000][100/535][145481] Loss_D: -0.020041 Loss_G: -0.006952 Loss_D_real: -0.007542 Loss_D_fake 0.012500
[1410/5000][105/535][145482] Loss_D: -0.018019 Loss_G: 0.007742 Loss_D_real: -0.023157 Loss_D_fake -0.005137
[1410/5000][110/535][145483] Loss_D: -0.019200 Loss_G: 0.032781 Loss_D_real: -0.021251 Loss_D_fake -0.002051
[1410/5000][115/535][145484] Loss_D: -0.018700 Loss_G: -0.006089 Loss_D_real: -0.006555 Loss_D_fake 0.012145
[1410/5000][120/535][145485] Loss_D: -0.019901 Loss_G: 0.005334 Loss_D_real: 0.000479 Loss_D_fake 0.020380
[1410/5000][125/535][145486] Loss_D: -0.018838 Loss_G: 0.014734 Loss_D_real: -0.017375 Loss_D_fake 0.001463
[1410/5000][130/535][145487] Loss_D: -0.018640 Loss_G: 0.015119 Loss_D_real: -0.009996 Loss_D_fake 0.008644
[1410/5000][135/535][145488] Loss_D: -0.019363 Loss_G: -0.002700 Loss_D_real: -0.012712 Loss_D_fake 0.006652
[1410/5000][140/535][145489] Loss_D: -0.020886 Loss_G: 0.005835 Loss_D_real: -0.021025 Loss_D_fake -0.000139
[1410/5000][145/535][145490] Loss_D: -0.019591 Loss_G: 0.000211 Loss_D_real: -0.007942 Loss_D_fake 0.011649
[1410/5000][150/535][145491] Loss_D: -0.019706 Loss_G: 0.016253 Loss_D_real: -0.028296 Loss_D_fake -0.008591
[1410/5000][155/535][145492] Loss_D: -0.019697 Loss_G: 0.011000 Loss_D_real: -0.014980 Loss_D_fake 0.004717
[1410/5000][160/535][145493] Loss_D: -0.019689 Loss_G: -0.010402 Loss_D_real: -0.019605 Loss_D_fake 0.000085
[1410/5000][165/535][145494] Loss_D: -0.018987 Loss_G: 0.007826 Loss_D_real: -0.014978 Loss_D_fake 0.004009
[1410/5000][170/535][145495] Loss_D: -0.020398 Loss_G: 0.002221 Loss_D_real: -0.020950 Loss_D_fake -0.000552
[1410/5000][175/535][145496] Loss_D: -0.020234 Loss_G: 0.019084 Loss_D_real: -0.019574 Loss_D_fake 0.000660
[1410/5000][180/535][145497] Loss_D: -0.020203 Loss_G: -0.003976 Loss_D_real: -0.009528 Loss_D_fake 0.010675
[1410/5000][185/535][145498] Loss_D: -0.018550 Loss_G: -0.014692 Loss_D_real: -0.011908 Loss_D_fake 0.006642
[1410/5000][190/535][145499] Loss_D: -0.021271 Loss_G: 0.014925 Loss_D_real: -0.027943 Loss_D_fake -0.006672
[1410/5000][195/535][145500] Loss_D: -0.020997 Loss_G: -0.005743 Loss_D_real: -0.011033 Loss_D_fake 0.009964
[1410/5000][295/535][145501] Loss_D: -0.023813 Loss_G: 0.030014 Loss_D_real: -0.017332 Loss_D_fake 0.006481
[1410/5000][300/535][145502] Loss_D: -0.021138 Loss_G: 0.007889 Loss_D_real: -0.012871 Loss_D_fake 0.008267
[1410/5000][305/535][145503] Loss_D: -0.018634 Loss_G: -0.011202 Loss_D_real: -0.012157 Loss_D_fake 0.006477
[1410/5000][310/535][145504] Loss_D: -0.017922 Loss_G: 0.002072 Loss_D_real: -0.023369 Loss_D_fake -0.005448
[1410/5000][315/535][145505] Loss_D: -0.019254 Loss_G: -0.004578 Loss_D_real: -0.017270 Loss_D_fake 0.001984
[1410/5000][320/535][145506] Loss_D: -0.019081 Loss_G: 0.007182 Loss_D_real: -0.012632 Loss_D_fake 0.006449
[1410/5000][325/535][145507] Loss_D: -0.019334 Loss_G: 0.015953 Loss_D_real: -0.029356 Loss_D_fake -0.010022
[1410/5000][330/535][145508] Loss_D: -0.017511 Loss_G: -0.021797 Loss_D_real: 0.004613 Loss_D_fake 0.022125
[1410/5000][335/535][145509] Loss_D: -0.017906 Loss_G: 0.015686 Loss_D_real: -0.017806 Loss_D_fake 0.000100
[1410/5000][340/535][145510] Loss_D: -0.017227 Loss_G: 0.025969 Loss_D_real: -0.036697 Loss_D_fake -0.019470
[1410/5000][345/535][145511] Loss_D: -0.019268 Loss_G: -0.007596 Loss_D_real: -0.016036 Loss_D_fake 0.003233
[1410/5000][350/535][145512] Loss_D: -0.018825 Loss_G: 0.009200 Loss_D_real: -0.019706 Loss_D_fake -0.000881
[1410/5000][355/535][145513] Loss_D: -0.020090 Loss_G: -0.011947 Loss_D_real: -0.011187 Loss_D_fake 0.008903
[1410/5000][360/535][145514] Loss_D: -0.019458 Loss_G: -0.005621 Loss_D_real: -0.007905 Loss_D_fake 0.011553
[1410/5000][365/535][145515] Loss_D: -0.019638 Loss_G: 0.028453 Loss_D_real: -0.022306 Loss_D_fake -0.002668
[1410/5000][370/535][145516] Loss_D: -0.019946 Loss_G: 0.011122 Loss_D_real: -0.008360 Loss_D_fake 0.011585
[1410/5000][375/535][145517] Loss_D: -0.020090 Loss_G: -0.006565 Loss_D_real: -0.009165 Loss_D_fake 0.010924
[1410/5000][380/535][145518] Loss_D: -0.019226 Loss_G: 0.013493 Loss_D_real: -0.027693 Loss_D_fake -0.008467
[1410/5000][385/535][145519] Loss_D: -0.019550 Loss_G: 0.013276 Loss_D_real: -0.025342 Loss_D_fake -0.005792
[1410/5000][390/535][145520] Loss_D: -0.019317 Loss_G: 0.015310 Loss_D_real: -0.033291 Loss_D_fake -0.013974
[1410/5000][395/535][145521] Loss_D: -0.019750 Loss_G: 0.015378 Loss_D_real: -0.018373 Loss_D_fake 0.001377
[1410/5000][400/535][145522] Loss_D: -0.019312 Loss_G: -0.029024 Loss_D_real: -0.000790 Loss_D_fake 0.018523
[1410/5000][405/535][145523] Loss_D: -0.020442 Loss_G: 0.023432 Loss_D_real: -0.019228 Loss_D_fake 0.001214
[1410/5000][410/535][145524] Loss_D: -0.018300 Loss_G: -0.012531 Loss_D_real: 0.004147 Loss_D_fake 0.022447
[1410/5000][415/535][145525] Loss_D: -0.018748 Loss_G: -0.008164 Loss_D_real: 0.004490 Loss_D_fake 0.023238
[1410/5000][420/535][145526] Loss_D: -0.018558 Loss_G: 0.020878 Loss_D_real: -0.032790 Loss_D_fake -0.014232
[1410/5000][425/535][145527] Loss_D: -0.020971 Loss_G: 0.013012 Loss_D_real: -0.009064 Loss_D_fake 0.011906
[1410/5000][430/535][145528] Loss_D: -0.020201 Loss_G: 0.012887 Loss_D_real: -0.026688 Loss_D_fake -0.006487
[1410/5000][435/535][145529] Loss_D: -0.022329 Loss_G: 0.007293 Loss_D_real: -0.028585 Loss_D_fake -0.006255
[1410/5000][440/535][145530] Loss_D: -0.020538 Loss_G: -0.000139 Loss_D_real: -0.009463 Loss_D_fake 0.011076
[1410/5000][445/535][145531] Loss_D: -0.019755 Loss_G: 0.022081 Loss_D_real: -0.021765 Loss_D_fake -0.002010
[1410/5000][450/535][145532] Loss_D: -0.020167 Loss_G: -0.002215 Loss_D_real: 0.005815 Loss_D_fake 0.025982
[1410/5000][455/535][145533] Loss_D: -0.020178 Loss_G: 0.012346 Loss_D_real: -0.028158 Loss_D_fake -0.007981
[1410/5000][460/535][145534] Loss_D: -0.020794 Loss_G: 0.012975 Loss_D_real: -0.030286 Loss_D_fake -0.009492
[1410/5000][465/535][145535] Loss_D: -0.019116 Loss_G: 0.019426 Loss_D_real: -0.028130 Loss_D_fake -0.009014
[1410/5000][470/535][145536] Loss_D: -0.021120 Loss_G: 0.021240 Loss_D_real: -0.024879 Loss_D_fake -0.003759
[1410/5000][475/535][145537] Loss_D: -0.019715 Loss_G: 0.010370 Loss_D_real: -0.020125 Loss_D_fake -0.000410
[1410/5000][480/535][145538] Loss_D: -0.019322 Loss_G: 0.013552 Loss_D_real: -0.016633 Loss_D_fake 0.002689
[1410/5000][485/535][145539] Loss_D: -0.019160 Loss_G: 0.018116 Loss_D_real: -0.017088 Loss_D_fake 0.002072
[1410/5000][490/535][145540] Loss_D: -0.019767 Loss_G: -0.006168 Loss_D_real: -0.010846 Loss_D_fake 0.008921
[1410/5000][495/535][145541] Loss_D: -0.019753 Loss_G: 0.014361 Loss_D_real: -0.025331 Loss_D_fake -0.005578
[1410/5000][500/535][145542] Loss_D: -0.020453 Loss_G: 0.004572 Loss_D_real: -0.011249 Loss_D_fake 0.009204
[1410/5000][505/535][145543] Loss_D: -0.019575 Loss_G: 0.003899 Loss_D_real: -0.014219 Loss_D_fake 0.005356
[1410/5000][510/535][145544] Loss_D: -0.019975 Loss_G: 0.025578 Loss_D_real: -0.031853 Loss_D_fake -0.011878
[1410/5000][515/535][145545] Loss_D: -0.019306 Loss_G: 0.000402 Loss_D_real: 0.002779 Loss_D_fake 0.022085
[1410/5000][520/535][145546] Loss_D: -0.020152 Loss_G: 0.000909 Loss_D_real: -0.006447 Loss_D_fake 0.013705
[1410/5000][525/535][145547] Loss_D: -0.020051 Loss_G: 0.018548 Loss_D_real: -0.018999 Loss_D_fake 0.001052
[1410/5000][530/535][145548] Loss_D: -0.019702 Loss_G: 0.026145 Loss_D_real: -0.033846 Loss_D_fake -0.014144
[1410/5000][535/535][145549] Loss_D: -0.017861 Loss_G: -0.015280 Loss_D_real: -0.026314 Loss_D_fake -0.008452
[1411/5000][5/535][145550] Loss_D: -0.019321 Loss_G: 0.024982 Loss_D_real: -0.023348 Loss_D_fake -0.004027
[1411/5000][10/535][145551] Loss_D: -0.020406 Loss_G: 0.010757 Loss_D_real: -0.031367 Loss_D_fake -0.010961
[1411/5000][15/535][145552] Loss_D: -0.020418 Loss_G: 0.013840 Loss_D_real: -0.026450 Loss_D_fake -0.006032
[1411/5000][20/535][145553] Loss_D: -0.020098 Loss_G: -0.014742 Loss_D_real: -0.012016 Loss_D_fake 0.008083
[1411/5000][25/535][145554] Loss_D: -0.019435 Loss_G: 0.014285 Loss_D_real: -0.029801 Loss_D_fake -0.010367
[1411/5000][30/535][145555] Loss_D: -0.020053 Loss_G: 0.013647 Loss_D_real: -0.028209 Loss_D_fake -0.008156
[1411/5000][35/535][145556] Loss_D: -0.020967 Loss_G: 0.014076 Loss_D_real: -0.027876 Loss_D_fake -0.006909
[1411/5000][40/535][145557] Loss_D: -0.019935 Loss_G: -0.022662 Loss_D_real: -0.003571 Loss_D_fake 0.016364
[1411/5000][45/535][145558] Loss_D: -0.019758 Loss_G: 0.006319 Loss_D_real: -0.021591 Loss_D_fake -0.001833
[1411/5000][50/535][145559] Loss_D: -0.019500 Loss_G: 0.006280 Loss_D_real: -0.008870 Loss_D_fake 0.010630
[1411/5000][55/535][145560] Loss_D: -0.020397 Loss_G: 0.012080 Loss_D_real: -0.018054 Loss_D_fake 0.002344
[1411/5000][60/535][145561] Loss_D: -0.020243 Loss_G: 0.011054 Loss_D_real: -0.021146 Loss_D_fake -0.000904
[1411/5000][65/535][145562] Loss_D: -0.018905 Loss_G: 0.023267 Loss_D_real: -0.029394 Loss_D_fake -0.010489
[1411/5000][70/535][145563] Loss_D: -0.018726 Loss_G: 0.025696 Loss_D_real: -0.026695 Loss_D_fake -0.007969
[1411/5000][75/535][145564] Loss_D: -0.019444 Loss_G: 0.010634 Loss_D_real: -0.023964 Loss_D_fake -0.004520
[1411/5000][80/535][145565] Loss_D: -0.020203 Loss_G: 0.012054 Loss_D_real: -0.011014 Loss_D_fake 0.009189
[1411/5000][85/535][145566] Loss_D: -0.020622 Loss_G: -0.002618 Loss_D_real: -0.020494 Loss_D_fake 0.000128
[1411/5000][90/535][145567] Loss_D: -0.019231 Loss_G: -0.003691 Loss_D_real: 0.002403 Loss_D_fake 0.021634
[1411/5000][95/535][145568] Loss_D: -0.020137 Loss_G: 0.000031 Loss_D_real: -0.020419 Loss_D_fake -0.000281
[1411/5000][100/535][145569] Loss_D: -0.020706 Loss_G: 0.022698 Loss_D_real: -0.025242 Loss_D_fake -0.004535
[1411/5000][105/535][145570] Loss_D: -0.018231 Loss_G: -0.011799 Loss_D_real: -0.006483 Loss_D_fake 0.011748
[1411/5000][110/535][145571] Loss_D: -0.019730 Loss_G: 0.022004 Loss_D_real: -0.021941 Loss_D_fake -0.002210
[1411/5000][115/535][145572] Loss_D: -0.018932 Loss_G: 0.012022 Loss_D_real: -0.030352 Loss_D_fake -0.011420
[1411/5000][120/535][145573] Loss_D: -0.019571 Loss_G: -0.004899 Loss_D_real: -0.012885 Loss_D_fake 0.006686
[1411/5000][125/535][145574] Loss_D: -0.018489 Loss_G: -0.002094 Loss_D_real: -0.006025 Loss_D_fake 0.012464
[1411/5000][130/535][145575] Loss_D: -0.019134 Loss_G: 0.014285 Loss_D_real: -0.028628 Loss_D_fake -0.009494
[1411/5000][135/535][145576] Loss_D: -0.019058 Loss_G: 0.031599 Loss_D_real: -0.031168 Loss_D_fake -0.012111
[1411/5000][140/535][145577] Loss_D: -0.019594 Loss_G: -0.000993 Loss_D_real: -0.007067 Loss_D_fake 0.012527
[1411/5000][145/535][145578] Loss_D: -0.019640 Loss_G: 0.015273 Loss_D_real: -0.024673 Loss_D_fake -0.005033
[1411/5000][150/535][145579] Loss_D: -0.019788 Loss_G: 0.012607 Loss_D_real: -0.026608 Loss_D_fake -0.006820
[1411/5000][155/535][145580] Loss_D: -0.019131 Loss_G: -0.005146 Loss_D_real: -0.003449 Loss_D_fake 0.015682
[1411/5000][160/535][145581] Loss_D: -0.020839 Loss_G: 0.014052 Loss_D_real: -0.023079 Loss_D_fake -0.002240
[1411/5000][165/535][145582] Loss_D: -0.020438 Loss_G: 0.012512 Loss_D_real: -0.015905 Loss_D_fake 0.004533
[1411/5000][170/535][145583] Loss_D: -0.019768 Loss_G: 0.015583 Loss_D_real: -0.019316 Loss_D_fake 0.000452
[1411/5000][175/535][145584] Loss_D: -0.018423 Loss_G: 0.034960 Loss_D_real: -0.027325 Loss_D_fake -0.008903
[1411/5000][180/535][145585] Loss_D: -0.018118 Loss_G: -0.010848 Loss_D_real: 0.000778 Loss_D_fake 0.018895
[1411/5000][185/535][145586] Loss_D: -0.019778 Loss_G: -0.001788 Loss_D_real: -0.010146 Loss_D_fake 0.009631
[1411/5000][190/535][145587] Loss_D: -0.019063 Loss_G: 0.005264 Loss_D_real: -0.010177 Loss_D_fake 0.008886
[1411/5000][195/535][145588] Loss_D: -0.019098 Loss_G: 0.020535 Loss_D_real: -0.026485 Loss_D_fake -0.007387
[1411/5000][200/535][145589] Loss_D: -0.018478 Loss_G: -0.009021 Loss_D_real: -0.012429 Loss_D_fake 0.006049
[1411/5000][205/535][145590] Loss_D: -0.020862 Loss_G: -0.001019 Loss_D_real: -0.006689 Loss_D_fake 0.014173
[1411/5000][210/535][145591] Loss_D: -0.020508 Loss_G: 0.003391 Loss_D_real: -0.024158 Loss_D_fake -0.003650
[1411/5000][215/535][145592] Loss_D: -0.021096 Loss_G: 0.013244 Loss_D_real: -0.020087 Loss_D_fake 0.001009
[1411/5000][220/535][145593] Loss_D: -0.019141 Loss_G: -0.006276 Loss_D_real: -0.004034 Loss_D_fake 0.015106
[1411/5000][225/535][145594] Loss_D: -0.018759 Loss_G: 0.019271 Loss_D_real: -0.025911 Loss_D_fake -0.007152
[1411/5000][230/535][145595] Loss_D: -0.019662 Loss_G: -0.011579 Loss_D_real: -0.004283 Loss_D_fake 0.015379
[1411/5000][235/535][145596] Loss_D: -0.018659 Loss_G: 0.021197 Loss_D_real: -0.023203 Loss_D_fake -0.004544
[1411/5000][240/535][145597] Loss_D: -0.018947 Loss_G: 0.014676 Loss_D_real: -0.006894 Loss_D_fake 0.012053
[1411/5000][245/535][145598] Loss_D: -0.019743 Loss_G: 0.019032 Loss_D_real: -0.027699 Loss_D_fake -0.007955
[1411/5000][250/535][145599] Loss_D: -0.020595 Loss_G: -0.011526 Loss_D_real: -0.003567 Loss_D_fake 0.017027
[1411/5000][255/535][145600] Loss_D: -0.020478 Loss_G: 0.014103 Loss_D_real: -0.002422 Loss_D_fake 0.018056
[1411/5000][260/535][145601] Loss_D: -0.019734 Loss_G: -0.005139 Loss_D_real: -0.016196 Loss_D_fake 0.003538
[1411/5000][265/535][145602] Loss_D: -0.020145 Loss_G: 0.016238 Loss_D_real: -0.026712 Loss_D_fake -0.006568
[1411/5000][270/535][145603] Loss_D: -0.020190 Loss_G: -0.001933 Loss_D_real: -0.025989 Loss_D_fake -0.005799
[1411/5000][275/535][145604] Loss_D: -0.023404 Loss_G: -0.001885 Loss_D_real: -0.019825 Loss_D_fake 0.003579
[1411/5000][280/535][145605] Loss_D: -0.019871 Loss_G: -0.016677 Loss_D_real: -0.000471 Loss_D_fake 0.019399
[1411/5000][285/535][145606] Loss_D: -0.019302 Loss_G: 0.014372 Loss_D_real: -0.013589 Loss_D_fake 0.005713
[1411/5000][290/535][145607] Loss_D: -0.020858 Loss_G: 0.009583 Loss_D_real: -0.013058 Loss_D_fake 0.007800
[1411/5000][295/535][145608] Loss_D: -0.020229 Loss_G: 0.027408 Loss_D_real: -0.020459 Loss_D_fake -0.000230
[1411/5000][300/535][145609] Loss_D: -0.021148 Loss_G: 0.004845 Loss_D_real: -0.013842 Loss_D_fake 0.007306
[1411/5000][305/535][145610] Loss_D: -0.019506 Loss_G: -0.010460 Loss_D_real: -0.000927 Loss_D_fake 0.018579
[1411/5000][310/535][145611] Loss_D: -0.018812 Loss_G: 0.004461 Loss_D_real: -0.023228 Loss_D_fake -0.004416
[1411/5000][315/535][145612] Loss_D: -0.020150 Loss_G: 0.001500 Loss_D_real: -0.018506 Loss_D_fake 0.001643
[1411/5000][320/535][145613] Loss_D: -0.021622 Loss_G: 0.019961 Loss_D_real: -0.034778 Loss_D_fake -0.013156
[1411/5000][325/535][145614] Loss_D: -0.020018 Loss_G: 0.015875 Loss_D_real: -0.019823 Loss_D_fake 0.000195
[1411/5000][330/535][145615] Loss_D: -0.020269 Loss_G: 0.010670 Loss_D_real: -0.017501 Loss_D_fake 0.002768
[1411/5000][335/535][145616] Loss_D: -0.019283 Loss_G: -0.002714 Loss_D_real: -0.002381 Loss_D_fake 0.016902
[1411/5000][340/535][145617] Loss_D: -0.020243 Loss_G: -0.008219 Loss_D_real: -0.013888 Loss_D_fake 0.006355
[1411/5000][345/535][145618] Loss_D: -0.019407 Loss_G: -0.012805 Loss_D_real: -0.016205 Loss_D_fake 0.003202
[1411/5000][350/535][145619] Loss_D: -0.019348 Loss_G: 0.018460 Loss_D_real: -0.017991 Loss_D_fake 0.001358
[1411/5000][355/535][145620] Loss_D: -0.019080 Loss_G: -0.005680 Loss_D_real: 0.001115 Loss_D_fake 0.020195
[1411/5000][360/535][145621] Loss_D: -0.019771 Loss_G: 0.002963 Loss_D_real: -0.004523 Loss_D_fake 0.015249
[1411/5000][365/535][145622] Loss_D: -0.020742 Loss_G: 0.005339 Loss_D_real: -0.017473 Loss_D_fake 0.003269
[1411/5000][370/535][145623] Loss_D: -0.019684 Loss_G: 0.008429 Loss_D_real: -0.014315 Loss_D_fake 0.005369
[1411/5000][375/535][145624] Loss_D: -0.019369 Loss_G: 0.018018 Loss_D_real: -0.011914 Loss_D_fake 0.007455
[1411/5000][380/535][145625] Loss_D: -0.019904 Loss_G: -0.003430 Loss_D_real: 0.009436 Loss_D_fake 0.029339
[1411/5000][385/535][145626] Loss_D: -0.018288 Loss_G: -0.015634 Loss_D_real: 0.003450 Loss_D_fake 0.021738
[1411/5000][390/535][145627] Loss_D: -0.019424 Loss_G: 0.029162 Loss_D_real: -0.026443 Loss_D_fake -0.007019
[1411/5000][395/535][145628] Loss_D: -0.018873 Loss_G: 0.024814 Loss_D_real: -0.026543 Loss_D_fake -0.007670
[1411/5000][400/535][145629] Loss_D: -0.020105 Loss_G: 0.008195 Loss_D_real: -0.026658 Loss_D_fake -0.006553
[1411/5000][405/535][145630] Loss_D: -0.019855 Loss_G: 0.010263 Loss_D_real: -0.004829 Loss_D_fake 0.015026
[1411/5000][410/535][145631] Loss_D: -0.020743 Loss_G: 0.005072 Loss_D_real: -0.025181 Loss_D_fake -0.004438
[1411/5000][415/535][145632] Loss_D: -0.019663 Loss_G: 0.017240 Loss_D_real: -0.015347 Loss_D_fake 0.004316
[1411/5000][420/535][145633] Loss_D: -0.020573 Loss_G: -0.008313 Loss_D_real: -0.011803 Loss_D_fake 0.008770
[1411/5000][425/535][145634] Loss_D: -0.020333 Loss_G: 0.009147 Loss_D_real: -0.007854 Loss_D_fake 0.012478
[1411/5000][430/535][145635] Loss_D: -0.019403 Loss_G: 0.001287 Loss_D_real: -0.019252 Loss_D_fake 0.000151
[1411/5000][435/535][145636] Loss_D: -0.020790 Loss_G: 0.002813 Loss_D_real: -0.026506 Loss_D_fake -0.005717
[1411/5000][440/535][145637] Loss_D: -0.019659 Loss_G: 0.008387 Loss_D_real: -0.007973 Loss_D_fake 0.011686
[1411/5000][445/535][145638] Loss_D: -0.018646 Loss_G: 0.025575 Loss_D_real: -0.033653 Loss_D_fake -0.015007
[1411/5000][450/535][145639] Loss_D: -0.020148 Loss_G: 0.009036 Loss_D_real: -0.024376 Loss_D_fake -0.004228
[1411/5000][455/535][145640] Loss_D: -0.021367 Loss_G: 0.007486 Loss_D_real: -0.018056 Loss_D_fake 0.003312
[1411/5000][460/535][145641] Loss_D: -0.020627 Loss_G: 0.009161 Loss_D_real: -0.011619 Loss_D_fake 0.009008
[1411/5000][465/535][145642] Loss_D: -0.021232 Loss_G: 0.007165 Loss_D_real: -0.015934 Loss_D_fake 0.005298
[1411/5000][470/535][145643] Loss_D: -0.020425 Loss_G: 0.006608 Loss_D_real: -0.005163 Loss_D_fake 0.015262
[1411/5000][475/535][145644] Loss_D: -0.019475 Loss_G: -0.001715 Loss_D_real: -0.014592 Loss_D_fake 0.004882
[1411/5000][480/535][145645] Loss_D: -0.018399 Loss_G: -0.003127 Loss_D_real: -0.021193 Loss_D_fake -0.002793
[1411/5000][485/535][145646] Loss_D: -0.020102 Loss_G: -0.004046 Loss_D_real: -0.022615 Loss_D_fake -0.002514
[1411/5000][490/535][145647] Loss_D: -0.020424 Loss_G: 0.010203 Loss_D_real: -0.041561 Loss_D_fake -0.021137
[1411/5000][495/535][145648] Loss_D: -0.020046 Loss_G: -0.011707 Loss_D_real: -0.010035 Loss_D_fake 0.010012
[1411/5000][500/535][145649] Loss_D: -0.020426 Loss_G: -0.000954 Loss_D_real: -0.007768 Loss_D_fake 0.012658
[1411/5000][505/535][145650] Loss_D: -0.020336 Loss_G: 0.025871 Loss_D_real: -0.031726 Loss_D_fake -0.011390
[1411/5000][510/535][145651] Loss_D: -0.020335 Loss_G: 0.014034 Loss_D_real: -0.021206 Loss_D_fake -0.000871
[1411/5000][515/535][145652] Loss_D: -0.018990 Loss_G: 0.026822 Loss_D_real: -0.036465 Loss_D_fake -0.017475
[1411/5000][520/535][145653] Loss_D: -0.021011 Loss_G: 0.013171 Loss_D_real: -0.019442 Loss_D_fake 0.001569
[1411/5000][525/535][145654] Loss_D: -0.019983 Loss_G: 0.020174 Loss_D_real: -0.027899 Loss_D_fake -0.007915
[1411/5000][530/535][145655] Loss_D: -0.020695 Loss_G: -0.013698 Loss_D_real: -0.009635 Loss_D_fake 0.011060
[1411/5000][535/535][145656] Loss_D: -0.019129 Loss_G: -0.002052 Loss_D_real: -0.018956 Loss_D_fake 0.000173
[1412/5000][5/535][145657] Loss_D: -0.020360 Loss_G: 0.009914 Loss_D_real: -0.013541 Loss_D_fake 0.006819
[1412/5000][10/535][145658] Loss_D: -0.021015 Loss_G: -0.011340 Loss_D_real: -0.004783 Loss_D_fake 0.016232
[1412/5000][15/535][145659] Loss_D: -0.019627 Loss_G: 0.006009 Loss_D_real: -0.019573 Loss_D_fake 0.000055
[1412/5000][20/535][145660] Loss_D: -0.020814 Loss_G: 0.007857 Loss_D_real: -0.002012 Loss_D_fake 0.018802
[1412/5000][25/535][145661] Loss_D: -0.019632 Loss_G: 0.004097 Loss_D_real: -0.020481 Loss_D_fake -0.000849
[1412/5000][30/535][145662] Loss_D: -0.019704 Loss_G: -0.007140 Loss_D_real: -0.000809 Loss_D_fake 0.018895
[1412/5000][35/535][145663] Loss_D: -0.019123 Loss_G: 0.008022 Loss_D_real: -0.016287 Loss_D_fake 0.002836
[1412/5000][40/535][145664] Loss_D: -0.019355 Loss_G: -0.005107 Loss_D_real: -0.006031 Loss_D_fake 0.013324
[1412/5000][45/535][145665] Loss_D: -0.020221 Loss_G: 0.020481 Loss_D_real: -0.021225 Loss_D_fake -0.001004
[1412/5000][50/535][145666] Loss_D: -0.020942 Loss_G: -0.005100 Loss_D_real: -0.017081 Loss_D_fake 0.003860
[1412/5000][55/535][145667] Loss_D: -0.020351 Loss_G: 0.013958 Loss_D_real: -0.021774 Loss_D_fake -0.001423
[1412/5000][60/535][145668] Loss_D: -0.020410 Loss_G: 0.009157 Loss_D_real: -0.017036 Loss_D_fake 0.003374
[1412/5000][65/535][145669] Loss_D: -0.020275 Loss_G: 0.017147 Loss_D_real: -0.018135 Loss_D_fake 0.002141
[1412/5000][70/535][145670] Loss_D: -0.018420 Loss_G: 0.000714 Loss_D_real: -0.002038 Loss_D_fake 0.016382
[1412/5000][75/535][145671] Loss_D: -0.021361 Loss_G: 0.019991 Loss_D_real: -0.022966 Loss_D_fake -0.001606
[1412/5000][80/535][145672] Loss_D: -0.020958 Loss_G: 0.011437 Loss_D_real: -0.026672 Loss_D_fake -0.005713
[1412/5000][85/535][145673] Loss_D: -0.020088 Loss_G: -0.006778 Loss_D_real: 0.004897 Loss_D_fake 0.024985
[1412/5000][90/535][145674] Loss_D: -0.019595 Loss_G: -0.006167 Loss_D_real: -0.014213 Loss_D_fake 0.005381
[1412/5000][95/535][145675] Loss_D: -0.019676 Loss_G: 0.005788 Loss_D_real: -0.010476 Loss_D_fake 0.009199
[1412/5000][100/535][145676] Loss_D: -0.020290 Loss_G: 0.019504 Loss_D_real: -0.017624 Loss_D_fake 0.002666
[1412/5000][105/535][145677] Loss_D: -0.019789 Loss_G: 0.025847 Loss_D_real: -0.028378 Loss_D_fake -0.008589
[1412/5000][110/535][145678] Loss_D: -0.021393 Loss_G: 0.013210 Loss_D_real: -0.022457 Loss_D_fake -0.001064
[1412/5000][115/535][145679] Loss_D: -0.020615 Loss_G: -0.002440 Loss_D_real: -0.023747 Loss_D_fake -0.003133
[1412/5000][120/535][145680] Loss_D: -0.019669 Loss_G: 0.009245 Loss_D_real: -0.020106 Loss_D_fake -0.000436
[1412/5000][125/535][145681] Loss_D: -0.020459 Loss_G: -0.011228 Loss_D_real: -0.013224 Loss_D_fake 0.007235
[1412/5000][130/535][145682] Loss_D: -0.020171 Loss_G: 0.003855 Loss_D_real: -0.019572 Loss_D_fake 0.000599
[1412/5000][135/535][145683] Loss_D: -0.020283 Loss_G: 0.004534 Loss_D_real: -0.014288 Loss_D_fake 0.005996
[1412/5000][140/535][145684] Loss_D: -0.018341 Loss_G: -0.025122 Loss_D_real: 0.004307 Loss_D_fake 0.022648
[1412/5000][145/535][145685] Loss_D: -0.017668 Loss_G: 0.009469 Loss_D_real: -0.024976 Loss_D_fake -0.007308
[1412/5000][150/535][145686] Loss_D: -0.018386 Loss_G: 0.015585 Loss_D_real: -0.022869 Loss_D_fake -0.004483
[1412/5000][155/535][145687] Loss_D: -0.020025 Loss_G: 0.016803 Loss_D_real: -0.015332 Loss_D_fake 0.004693
[1412/5000][160/535][145688] Loss_D: -0.020296 Loss_G: -0.007343 Loss_D_real: -0.006403 Loss_D_fake 0.013893
[1412/5000][165/535][145689] Loss_D: -0.018782 Loss_G: 0.007745 Loss_D_real: -0.003421 Loss_D_fake 0.015361
[1412/5000][170/535][145690] Loss_D: -0.020188 Loss_G: 0.004477 Loss_D_real: -0.018564 Loss_D_fake 0.001624
[1412/5000][175/535][145691] Loss_D: -0.019045 Loss_G: 0.005556 Loss_D_real: -0.016091 Loss_D_fake 0.002954
[1412/5000][180/535][145692] Loss_D: -0.020163 Loss_G: 0.007614 Loss_D_real: -0.021666 Loss_D_fake -0.001502
[1412/5000][185/535][145693] Loss_D: -0.019291 Loss_G: -0.008398 Loss_D_real: 0.000685 Loss_D_fake 0.019976
[1412/5000][190/535][145694] Loss_D: -0.019260 Loss_G: 0.013682 Loss_D_real: -0.017649 Loss_D_fake 0.001612
[1412/5000][195/535][145695] Loss_D: -0.018365 Loss_G: 0.010549 Loss_D_real: -0.024784 Loss_D_fake -0.006419
[1412/5000][200/535][145696] Loss_D: -0.018643 Loss_G: 0.011399 Loss_D_real: -0.021926 Loss_D_fake -0.003283
[1412/5000][205/535][145697] Loss_D: -0.019925 Loss_G: 0.015000 Loss_D_real: -0.022892 Loss_D_fake -0.002967
[1412/5000][210/535][145698] Loss_D: -0.021564 Loss_G: -0.013899 Loss_D_real: -0.008737 Loss_D_fake 0.012827
[1412/5000][215/535][145699] Loss_D: -0.019854 Loss_G: 0.011120 Loss_D_real: -0.025120 Loss_D_fake -0.005266
[1412/5000][220/535][145700] Loss_D: -0.020288 Loss_G: -0.006807 Loss_D_real: 0.000803 Loss_D_fake 0.021091
[1412/5000][225/535][145701] Loss_D: -0.021653 Loss_G: 0.021778 Loss_D_real: -0.009043 Loss_D_fake 0.012609
[1412/5000][230/535][145702] Loss_D: -0.018913 Loss_G: 0.015542 Loss_D_real: -0.036907 Loss_D_fake -0.017994
[1412/5000][235/535][145703] Loss_D: -0.019635 Loss_G: -0.018316 Loss_D_real: 0.003245 Loss_D_fake 0.022881
[1412/5000][240/535][145704] Loss_D: -0.019843 Loss_G: 0.016725 Loss_D_real: -0.040872 Loss_D_fake -0.021030
[1412/5000][245/535][145705] Loss_D: -0.020570 Loss_G: -0.007368 Loss_D_real: -0.004638 Loss_D_fake 0.015932
[1412/5000][250/535][145706] Loss_D: -0.020857 Loss_G: 0.013117 Loss_D_real: -0.005936 Loss_D_fake 0.014921
[1412/5000][255/535][145707] Loss_D: -0.021151 Loss_G: 0.006479 Loss_D_real: -0.015415 Loss_D_fake 0.005736
[1412/5000][260/535][145708] Loss_D: -0.019638 Loss_G: 0.012956 Loss_D_real: -0.016801 Loss_D_fake 0.002837
[1412/5000][265/535][145709] Loss_D: -0.021305 Loss_G: 0.029783 Loss_D_real: -0.022779 Loss_D_fake -0.001474
[1412/5000][270/535][145710] Loss_D: -0.021066 Loss_G: -0.002125 Loss_D_real: -0.015109 Loss_D_fake 0.005957
[1412/5000][275/535][145711] Loss_D: -0.019718 Loss_G: -0.000939 Loss_D_real: -0.007807 Loss_D_fake 0.011912
[1412/5000][280/535][145712] Loss_D: -0.020497 Loss_G: 0.012277 Loss_D_real: -0.016197 Loss_D_fake 0.004300
[1412/5000][285/535][145713] Loss_D: -0.019353 Loss_G: 0.007003 Loss_D_real: -0.018042 Loss_D_fake 0.001311
[1412/5000][290/535][145714] Loss_D: -0.019838 Loss_G: 0.007113 Loss_D_real: -0.010299 Loss_D_fake 0.009539
[1412/5000][295/535][145715] Loss_D: -0.020305 Loss_G: 0.000140 Loss_D_real: -0.008857 Loss_D_fake 0.011449
[1412/5000][300/535][145716] Loss_D: -0.018979 Loss_G: 0.017681 Loss_D_real: -0.024489 Loss_D_fake -0.005511
[1412/5000][305/535][145717] Loss_D: -0.020551 Loss_G: -0.010652 Loss_D_real: -0.002548 Loss_D_fake 0.018003
[1412/5000][310/535][145718] Loss_D: -0.019752 Loss_G: 0.014158 Loss_D_real: -0.013498 Loss_D_fake 0.006254
[1412/5000][315/535][145719] Loss_D: -0.020333 Loss_G: 0.024939 Loss_D_real: -0.021304 Loss_D_fake -0.000971
[1412/5000][320/535][145720] Loss_D: -0.019218 Loss_G: 0.020685 Loss_D_real: -0.027683 Loss_D_fake -0.008464
[1412/5000][325/535][145721] Loss_D: -0.020061 Loss_G: -0.003662 Loss_D_real: -0.016343 Loss_D_fake 0.003718
[1412/5000][330/535][145722] Loss_D: -0.018546 Loss_G: -0.000536 Loss_D_real: -0.012440 Loss_D_fake 0.006106
[1412/5000][335/535][145723] Loss_D: -0.020182 Loss_G: 0.003614 Loss_D_real: -0.032684 Loss_D_fake -0.012503
[1412/5000][340/535][145724] Loss_D: -0.020153 Loss_G: 0.013027 Loss_D_real: -0.036033 Loss_D_fake -0.015880
[1412/5000][345/535][145725] Loss_D: -0.020115 Loss_G: 0.005782 Loss_D_real: -0.025454 Loss_D_fake -0.005339
[1412/5000][350/535][145726] Loss_D: -0.020458 Loss_G: 0.030160 Loss_D_real: -0.031275 Loss_D_fake -0.010817
[1412/5000][355/535][145727] Loss_D: -0.019644 Loss_G: 0.019795 Loss_D_real: -0.026209 Loss_D_fake -0.006565
[1412/5000][360/535][145728] Loss_D: -0.019528 Loss_G: -0.007411 Loss_D_real: -0.001465 Loss_D_fake 0.018064
[1412/5000][365/535][145729] Loss_D: -0.020198 Loss_G: 0.008610 Loss_D_real: -0.007268 Loss_D_fake 0.012930
[1412/5000][370/535][145730] Loss_D: -0.018894 Loss_G: -0.000406 Loss_D_real: -0.005111 Loss_D_fake 0.013783
[1412/5000][375/535][145731] Loss_D: -0.020012 Loss_G: -0.008413 Loss_D_real: -0.004387 Loss_D_fake 0.015625
[1412/5000][380/535][145732] Loss_D: -0.019116 Loss_G: 0.016203 Loss_D_real: -0.030603 Loss_D_fake -0.011487
[1412/5000][385/535][145733] Loss_D: -0.019746 Loss_G: -0.010813 Loss_D_real: -0.000331 Loss_D_fake 0.019415
[1412/5000][390/535][145734] Loss_D: -0.019620 Loss_G: 0.025990 Loss_D_real: -0.023718 Loss_D_fake -0.004098
[1412/5000][395/535][145735] Loss_D: -0.019469 Loss_G: -0.004682 Loss_D_real: -0.013758 Loss_D_fake 0.005711
[1412/5000][400/535][145736] Loss_D: -0.019632 Loss_G: 0.021646 Loss_D_real: -0.022467 Loss_D_fake -0.002835
[1412/5000][405/535][145737] Loss_D: -0.020073 Loss_G: 0.000302 Loss_D_real: -0.004367 Loss_D_fake 0.015706
[1412/5000][410/535][145738] Loss_D: -0.018568 Loss_G: -0.005502 Loss_D_real: -0.012395 Loss_D_fake 0.006173
[1412/5000][415/535][145739] Loss_D: -0.020232 Loss_G: 0.014627 Loss_D_real: -0.020588 Loss_D_fake -0.000355
[1412/5000][420/535][145740] Loss_D: -0.019402 Loss_G: -0.000190 Loss_D_real: -0.018902 Loss_D_fake 0.000500
[1412/5000][425/535][145741] Loss_D: -0.020589 Loss_G: 0.011608 Loss_D_real: -0.028219 Loss_D_fake -0.007630
[1412/5000][430/535][145742] Loss_D: -0.019661 Loss_G: -0.005237 Loss_D_real: -0.009732 Loss_D_fake 0.009930
[1412/5000][435/535][145743] Loss_D: -0.019203 Loss_G: 0.010787 Loss_D_real: -0.025831 Loss_D_fake -0.006628
[1412/5000][440/535][145744] Loss_D: -0.021021 Loss_G: -0.004370 Loss_D_real: -0.007110 Loss_D_fake 0.013911
[1412/5000][445/535][145745] Loss_D: -0.019999 Loss_G: 0.015976 Loss_D_real: -0.018666 Loss_D_fake 0.001333
[1412/5000][450/535][145746] Loss_D: -0.020024 Loss_G: 0.001482 Loss_D_real: -0.016112 Loss_D_fake 0.003912
[1412/5000][455/535][145747] Loss_D: -0.020841 Loss_G: 0.016723 Loss_D_real: -0.027555 Loss_D_fake -0.006714
[1412/5000][460/535][145748] Loss_D: -0.020668 Loss_G: -0.015031 Loss_D_real: -0.005354 Loss_D_fake 0.015314
[1412/5000][465/535][145749] Loss_D: -0.020367 Loss_G: 0.013331 Loss_D_real: -0.017463 Loss_D_fake 0.002904
[1412/5000][470/535][145750] Loss_D: -0.020925 Loss_G: 0.001499 Loss_D_real: -0.018263 Loss_D_fake 0.002662
[1412/5000][475/535][145751] Loss_D: -0.019555 Loss_G: 0.000759 Loss_D_real: -0.006179 Loss_D_fake 0.013376
[1412/5000][480/535][145752] Loss_D: -0.018604 Loss_G: 0.017350 Loss_D_real: -0.026292 Loss_D_fake -0.007688
[1412/5000][485/535][145753] Loss_D: -0.019776 Loss_G: 0.005865 Loss_D_real: -0.021071 Loss_D_fake -0.001295
[1412/5000][490/535][145754] Loss_D: -0.020273 Loss_G: -0.006355 Loss_D_real: -0.005490 Loss_D_fake 0.014783
[1412/5000][495/535][145755] Loss_D: -0.020268 Loss_G: 0.020719 Loss_D_real: -0.024819 Loss_D_fake -0.004552
[1412/5000][500/535][145756] Loss_D: -0.020783 Loss_G: 0.002618 Loss_D_real: -0.002550 Loss_D_fake 0.018233
[1412/5000][505/535][145757] Loss_D: -0.018506 Loss_G: 0.025034 Loss_D_real: -0.029992 Loss_D_fake -0.011486
[1412/5000][510/535][145758] Loss_D: -0.019873 Loss_G: -0.009874 Loss_D_real: -0.007922 Loss_D_fake 0.011950
[1412/5000][515/535][145759] Loss_D: -0.018918 Loss_G: 0.024793 Loss_D_real: -0.040120 Loss_D_fake -0.021202
[1412/5000][520/535][145760] Loss_D: -0.019161 Loss_G: 0.004236 Loss_D_real: -0.014086 Loss_D_fake 0.005076
[1412/5000][525/535][145761] Loss_D: -0.021114 Loss_G: 0.007911 Loss_D_real: -0.019459 Loss_D_fake 0.001655
[1412/5000][530/535][145762] Loss_D: -0.020649 Loss_G: 0.004972 Loss_D_real: -0.015370 Loss_D_fake 0.005278
[1412/5000][535/535][145763] Loss_D: -0.019675 Loss_G: 0.015198 Loss_D_real: -0.020543 Loss_D_fake -0.000868
[1413/5000][5/535][145764] Loss_D: -0.021065 Loss_G: -0.010737 Loss_D_real: -0.006730 Loss_D_fake 0.014334
[1413/5000][10/535][145765] Loss_D: -0.018530 Loss_G: -0.015448 Loss_D_real: -0.004072 Loss_D_fake 0.014458
[1413/5000][15/535][145766] Loss_D: -0.019618 Loss_G: -0.005830 Loss_D_real: 0.008190 Loss_D_fake 0.027808
[1413/5000][20/535][145767] Loss_D: -0.019792 Loss_G: 0.001974 Loss_D_real: -0.013989 Loss_D_fake 0.005803
[1413/5000][25/535][145768] Loss_D: -0.019605 Loss_G: 0.006886 Loss_D_real: -0.014893 Loss_D_fake 0.004712
[1413/5000][30/535][145769] Loss_D: -0.019071 Loss_G: -0.030198 Loss_D_real: 0.006394 Loss_D_fake 0.025465
[1413/5000][35/535][145770] Loss_D: -0.019799 Loss_G: 0.010215 Loss_D_real: -0.004108 Loss_D_fake 0.015691
[1413/5000][40/535][145771] Loss_D: -0.019101 Loss_G: 0.026734 Loss_D_real: -0.021192 Loss_D_fake -0.002090
[1413/5000][45/535][145772] Loss_D: -0.019667 Loss_G: -0.002409 Loss_D_real: -0.010220 Loss_D_fake 0.009448
[1413/5000][50/535][145773] Loss_D: -0.019960 Loss_G: -0.004928 Loss_D_real: -0.020903 Loss_D_fake -0.000943
[1413/5000][55/535][145774] Loss_D: -0.019536 Loss_G: -0.006443 Loss_D_real: -0.009985 Loss_D_fake 0.009551
[1413/5000][60/535][145775] Loss_D: -0.019502 Loss_G: -0.004320 Loss_D_real: 0.004605 Loss_D_fake 0.024106
[1413/5000][65/535][145776] Loss_D: -0.019540 Loss_G: -0.000709 Loss_D_real: -0.011012 Loss_D_fake 0.008528
[1413/5000][70/535][145777] Loss_D: -0.019591 Loss_G: -0.001283 Loss_D_real: -0.001285 Loss_D_fake 0.018306
[1413/5000][75/535][145778] Loss_D: -0.019410 Loss_G: 0.017801 Loss_D_real: -0.012181 Loss_D_fake 0.007229
[1413/5000][80/535][145779] Loss_D: -0.019567 Loss_G: 0.024807 Loss_D_real: -0.029127 Loss_D_fake -0.009560
[1413/5000][85/535][145780] Loss_D: -0.019693 Loss_G: 0.002377 Loss_D_real: -0.002947 Loss_D_fake 0.016745
[1413/5000][90/535][145781] Loss_D: -0.019143 Loss_G: -0.014625 Loss_D_real: -0.005987 Loss_D_fake 0.013157
[1413/5000][95/535][145782] Loss_D: -0.019466 Loss_G: -0.009897 Loss_D_real: -0.012506 Loss_D_fake 0.006960
[1413/5000][100/535][145783] Loss_D: -0.019606 Loss_G: -0.001936 Loss_D_real: -0.017945 Loss_D_fake 0.001661
[1413/5000][105/535][145784] Loss_D: -0.020909 Loss_G: -0.002818 Loss_D_real: -0.023820 Loss_D_fake -0.002911
[1413/5000][110/535][145785] Loss_D: -0.021520 Loss_G: 0.008213 Loss_D_real: -0.017769 Loss_D_fake 0.003751
[1413/5000][115/535][145786] Loss_D: -0.018303 Loss_G: 0.018554 Loss_D_real: -0.030203 Loss_D_fake -0.011901
[1413/5000][120/535][145787] Loss_D: -0.019482 Loss_G: 0.010543 Loss_D_real: -0.015215 Loss_D_fake 0.004266
[1413/5000][125/535][145788] Loss_D: -0.019264 Loss_G: 0.018097 Loss_D_real: -0.026777 Loss_D_fake -0.007513
[1413/5000][130/535][145789] Loss_D: -0.019858 Loss_G: 0.012381 Loss_D_real: -0.022471 Loss_D_fake -0.002613
[1413/5000][135/535][145790] Loss_D: -0.019610 Loss_G: -0.004557 Loss_D_real: 0.001343 Loss_D_fake 0.020953
[1413/5000][140/535][145791] Loss_D: -0.017877 Loss_G: 0.035254 Loss_D_real: -0.039966 Loss_D_fake -0.022089
[1413/5000][145/535][145792] Loss_D: -0.018989 Loss_G: 0.008591 Loss_D_real: -0.031531 Loss_D_fake -0.012542
[1413/5000][150/535][145793] Loss_D: -0.019412 Loss_G: -0.015797 Loss_D_real: 0.005760 Loss_D_fake 0.025172
[1413/5000][155/535][145794] Loss_D: -0.019584 Loss_G: 0.013022 Loss_D_real: -0.021467 Loss_D_fake -0.001883
[1413/5000][160/535][145795] Loss_D: -0.020266 Loss_G: -0.012613 Loss_D_real: 0.001880 Loss_D_fake 0.022146
[1413/5000][165/535][145796] Loss_D: -0.019651 Loss_G: 0.001625 Loss_D_real: -0.012133 Loss_D_fake 0.007518
[1413/5000][170/535][145797] Loss_D: -0.019812 Loss_G: 0.032692 Loss_D_real: -0.029901 Loss_D_fake -0.010089
[1413/5000][175/535][145798] Loss_D: -0.020445 Loss_G: -0.006857 Loss_D_real: -0.010450 Loss_D_fake 0.009995
[1413/5000][180/535][145799] Loss_D: -0.020085 Loss_G: 0.002739 Loss_D_real: -0.025295 Loss_D_fake -0.005210
[1413/5000][185/535][145800] Loss_D: -0.017532 Loss_G: -0.015485 Loss_D_real: 0.010603 Loss_D_fake 0.028135
[1413/5000][190/535][145801] Loss_D: -0.019834 Loss_G: 0.017643 Loss_D_real: -0.017587 Loss_D_fake 0.002246
[1413/5000][195/535][145802] Loss_D: -0.019612 Loss_G: 0.015518 Loss_D_real: -0.030787 Loss_D_fake -0.011175
[1413/5000][200/535][145803] Loss_D: -0.019132 Loss_G: 0.013262 Loss_D_real: -0.025662 Loss_D_fake -0.006530
[1413/5000][205/535][145804] Loss_D: -0.018943 Loss_G: -0.019302 Loss_D_real: -0.009410 Loss_D_fake 0.009534
[1413/5000][210/535][145805] Loss_D: -0.019752 Loss_G: 0.018322 Loss_D_real: -0.030525 Loss_D_fake -0.010773
[1413/5000][215/535][145806] Loss_D: -0.019538 Loss_G: -0.015051 Loss_D_real: -0.005421 Loss_D_fake 0.014117
[1413/5000][220/535][145807] Loss_D: -0.019049 Loss_G: -0.010623 Loss_D_real: -0.002753 Loss_D_fake 0.016296
[1413/5000][225/535][145808] Loss_D: -0.017150 Loss_G: 0.005818 Loss_D_real: -0.031518 Loss_D_fake -0.014368
[1413/5000][230/535][145809] Loss_D: -0.018855 Loss_G: 0.004310 Loss_D_real: -0.021647 Loss_D_fake -0.002791
[1413/5000][235/535][145810] Loss_D: -0.018546 Loss_G: 0.023179 Loss_D_real: -0.011148 Loss_D_fake 0.007398
[1413/5000][240/535][145811] Loss_D: -0.018672 Loss_G: 0.021821 Loss_D_real: -0.021378 Loss_D_fake -0.002706
[1413/5000][245/535][145812] Loss_D: -0.020684 Loss_G: 0.008526 Loss_D_real: -0.018076 Loss_D_fake 0.002608
[1413/5000][250/535][145813] Loss_D: -0.017738 Loss_G: 0.019040 Loss_D_real: -0.037673 Loss_D_fake -0.019935
[1413/5000][255/535][145814] Loss_D: -0.018959 Loss_G: 0.003169 Loss_D_real: -0.001881 Loss_D_fake 0.017078
[1413/5000][260/535][145815] Loss_D: -0.020315 Loss_G: -0.006792 Loss_D_real: -0.012804 Loss_D_fake 0.007511
[1413/5000][265/535][145816] Loss_D: -0.020927 Loss_G: -0.009287 Loss_D_real: 0.003341 Loss_D_fake 0.024268
[1413/5000][270/535][145817] Loss_D: -0.019949 Loss_G: -0.000739 Loss_D_real: -0.001175 Loss_D_fake 0.018774
[1413/5000][275/535][145818] Loss_D: -0.021401 Loss_G: 0.008350 Loss_D_real: -0.021534 Loss_D_fake -0.000133
[1413/5000][280/535][145819] Loss_D: -0.019580 Loss_G: 0.014221 Loss_D_real: -0.017638 Loss_D_fake 0.001943
[1413/5000][285/535][145820] Loss_D: -0.020605 Loss_G: 0.026528 Loss_D_real: -0.018421 Loss_D_fake 0.002183
[1413/5000][290/535][145821] Loss_D: -0.019879 Loss_G: 0.008664 Loss_D_real: -0.015612 Loss_D_fake 0.004267
[1413/5000][295/535][145822] Loss_D: -0.021036 Loss_G: 0.012168 Loss_D_real: -0.010852 Loss_D_fake 0.010183
[1413/5000][300/535][145823] Loss_D: -0.019557 Loss_G: 0.017712 Loss_D_real: -0.028234 Loss_D_fake -0.008676
[1413/5000][305/535][145824] Loss_D: -0.018045 Loss_G: -0.006522 Loss_D_real: -0.003577 Loss_D_fake 0.014468
[1413/5000][310/535][145825] Loss_D: -0.018921 Loss_G: 0.016538 Loss_D_real: -0.029920 Loss_D_fake -0.010999
[1413/5000][315/535][145826] Loss_D: -0.019478 Loss_G: -0.002257 Loss_D_real: -0.001121 Loss_D_fake 0.018357
[1413/5000][320/535][145827] Loss_D: -0.018836 Loss_G: 0.011728 Loss_D_real: -0.026756 Loss_D_fake -0.007920
[1413/5000][325/535][145828] Loss_D: -0.020319 Loss_G: 0.012685 Loss_D_real: -0.013426 Loss_D_fake 0.006893
[1413/5000][330/535][145829] Loss_D: -0.018519 Loss_G: -0.013944 Loss_D_real: 0.003377 Loss_D_fake 0.021896
[1413/5000][335/535][145830] Loss_D: -0.019936 Loss_G: 0.005672 Loss_D_real: -0.015489 Loss_D_fake 0.004447
[1413/5000][340/535][145831] Loss_D: -0.019776 Loss_G: 0.005172 Loss_D_real: -0.015760 Loss_D_fake 0.004016
[1413/5000][345/535][145832] Loss_D: -0.020984 Loss_G: 0.015730 Loss_D_real: -0.022585 Loss_D_fake -0.001600
[1413/5000][350/535][145833] Loss_D: -0.021102 Loss_G: 0.010658 Loss_D_real: -0.019958 Loss_D_fake 0.001145
[1413/5000][355/535][145834] Loss_D: -0.019702 Loss_G: 0.008736 Loss_D_real: -0.025180 Loss_D_fake -0.005477
[1413/5000][360/535][145835] Loss_D: -0.020445 Loss_G: 0.010602 Loss_D_real: -0.032167 Loss_D_fake -0.011722
[1413/5000][365/535][145836] Loss_D: -0.019158 Loss_G: -0.010833 Loss_D_real: 0.011481 Loss_D_fake 0.030638
[1413/5000][370/535][145837] Loss_D: -0.020079 Loss_G: 0.008259 Loss_D_real: -0.006666 Loss_D_fake 0.013413
[1413/5000][375/535][145838] Loss_D: -0.020248 Loss_G: -0.006593 Loss_D_real: 0.003565 Loss_D_fake 0.023813
[1413/5000][380/535][145839] Loss_D: -0.021451 Loss_G: 0.004176 Loss_D_real: -0.025300 Loss_D_fake -0.003849
[1413/5000][385/535][145840] Loss_D: -0.021066 Loss_G: 0.021030 Loss_D_real: -0.029932 Loss_D_fake -0.008865
[1413/5000][390/535][145841] Loss_D: -0.022386 Loss_G: -0.005585 Loss_D_real: -0.001712 Loss_D_fake 0.020674
[1413/5000][395/535][145842] Loss_D: -0.021027 Loss_G: 0.003782 Loss_D_real: -0.015248 Loss_D_fake 0.005779
[1413/5000][400/535][145843] Loss_D: -0.020371 Loss_G: 0.004882 Loss_D_real: -0.015936 Loss_D_fake 0.004436
[1413/5000][405/535][145844] Loss_D: -0.020611 Loss_G: -0.001887 Loss_D_real: -0.006548 Loss_D_fake 0.014063
[1413/5000][410/535][145845] Loss_D: -0.020118 Loss_G: 0.022320 Loss_D_real: -0.026067 Loss_D_fake -0.005949
[1413/5000][415/535][145846] Loss_D: -0.019685 Loss_G: 0.003323 Loss_D_real: -0.019159 Loss_D_fake 0.000526
[1413/5000][420/535][145847] Loss_D: -0.020222 Loss_G: -0.005145 Loss_D_real: -0.018115 Loss_D_fake 0.002107
[1413/5000][425/535][145848] Loss_D: -0.020532 Loss_G: 0.026206 Loss_D_real: -0.026182 Loss_D_fake -0.005649
[1413/5000][430/535][145849] Loss_D: -0.019454 Loss_G: -0.009346 Loss_D_real: -0.009099 Loss_D_fake 0.010356
[1413/5000][435/535][145850] Loss_D: -0.021471 Loss_G: 0.004857 Loss_D_real: -0.020576 Loss_D_fake 0.000895
[1413/5000][440/535][145851] Loss_D: -0.020744 Loss_G: -0.005202 Loss_D_real: -0.011867 Loss_D_fake 0.008877
[1413/5000][445/535][145852] Loss_D: -0.018203 Loss_G: 0.017897 Loss_D_real: -0.033045 Loss_D_fake -0.014841
[1413/5000][450/535][145853] Loss_D: -0.020239 Loss_G: -0.003492 Loss_D_real: -0.004245 Loss_D_fake 0.015994
[1413/5000][455/535][145854] Loss_D: -0.020325 Loss_G: 0.005645 Loss_D_real: -0.013634 Loss_D_fake 0.006691
[1413/5000][460/535][145855] Loss_D: -0.019625 Loss_G: 0.007376 Loss_D_real: -0.018982 Loss_D_fake 0.000643
[1413/5000][465/535][145856] Loss_D: -0.019173 Loss_G: 0.022144 Loss_D_real: -0.025287 Loss_D_fake -0.006114
[1413/5000][470/535][145857] Loss_D: -0.019204 Loss_G: 0.004843 Loss_D_real: -0.012333 Loss_D_fake 0.006871
[1413/5000][475/535][145858] Loss_D: -0.020238 Loss_G: -0.005671 Loss_D_real: -0.011422 Loss_D_fake 0.008815
[1413/5000][480/535][145859] Loss_D: -0.019403 Loss_G: 0.017570 Loss_D_real: -0.018892 Loss_D_fake 0.000511
[1413/5000][485/535][145860] Loss_D: -0.019703 Loss_G: -0.021545 Loss_D_real: 0.001505 Loss_D_fake 0.021208
[1413/5000][490/535][145861] Loss_D: -0.020417 Loss_G: -0.003385 Loss_D_real: -0.026132 Loss_D_fake -0.005715
[1413/5000][495/535][145862] Loss_D: -0.020087 Loss_G: 0.000733 Loss_D_real: -0.009726 Loss_D_fake 0.010361
[1413/5000][500/535][145863] Loss_D: -0.019760 Loss_G: 0.025709 Loss_D_real: -0.033185 Loss_D_fake -0.013425
[1413/5000][505/535][145864] Loss_D: -0.022289 Loss_G: 0.003915 Loss_D_real: -0.026779 Loss_D_fake -0.004489
[1413/5000][510/535][145865] Loss_D: -0.019548 Loss_G: -0.009818 Loss_D_real: 0.011577 Loss_D_fake 0.031125
[1413/5000][515/535][145866] Loss_D: -0.020222 Loss_G: 0.008461 Loss_D_real: -0.020101 Loss_D_fake 0.000121
[1413/5000][520/535][145867] Loss_D: -0.019661 Loss_G: 0.008690 Loss_D_real: -0.030219 Loss_D_fake -0.010558
[1413/5000][525/535][145868] Loss_D: -0.019739 Loss_G: -0.000769 Loss_D_real: -0.006838 Loss_D_fake 0.012900
[1413/5000][530/535][145869] Loss_D: -0.019797 Loss_G: 0.022292 Loss_D_real: -0.012862 Loss_D_fake 0.006935
[1413/5000][535/535][145870] Loss_D: -0.018536 Loss_G: 0.011067 Loss_D_real: -0.017757 Loss_D_fake 0.000779
[1414/5000][5/535][145871] Loss_D: -0.021705 Loss_G: -0.009262 Loss_D_real: -0.006767 Loss_D_fake 0.014938
[1414/5000][10/535][145872] Loss_D: -0.019704 Loss_G: 0.012155 Loss_D_real: -0.020077 Loss_D_fake -0.000373
[1414/5000][15/535][145873] Loss_D: -0.016871 Loss_G: 0.037822 Loss_D_real: -0.034283 Loss_D_fake -0.017412
[1414/5000][20/535][145874] Loss_D: -0.019228 Loss_G: -0.008730 Loss_D_real: -0.010977 Loss_D_fake 0.008252
[1414/5000][25/535][145875] Loss_D: -0.019431 Loss_G: 0.019969 Loss_D_real: -0.024005 Loss_D_fake -0.004574
[1414/5000][30/535][145876] Loss_D: -0.021446 Loss_G: 0.014141 Loss_D_real: -0.012498 Loss_D_fake 0.008947
[1414/5000][35/535][145877] Loss_D: -0.020873 Loss_G: 0.000510 Loss_D_real: -0.012398 Loss_D_fake 0.008475
[1414/5000][40/535][145878] Loss_D: -0.019852 Loss_G: -0.005202 Loss_D_real: -0.019943 Loss_D_fake -0.000091
[1414/5000][45/535][145879] Loss_D: -0.022478 Loss_G: 0.010840 Loss_D_real: -0.019845 Loss_D_fake 0.002633
[1414/5000][50/535][145880] Loss_D: -0.020667 Loss_G: 0.019072 Loss_D_real: -0.019276 Loss_D_fake 0.001392
[1414/5000][55/535][145881] Loss_D: -0.019686 Loss_G: 0.019422 Loss_D_real: -0.021766 Loss_D_fake -0.002079
[1414/5000][60/535][145882] Loss_D: -0.020248 Loss_G: 0.007574 Loss_D_real: -0.010284 Loss_D_fake 0.009964
[1414/5000][65/535][145883] Loss_D: -0.019969 Loss_G: 0.011486 Loss_D_real: -0.032548 Loss_D_fake -0.012579
[1414/5000][70/535][145884] Loss_D: -0.020757 Loss_G: 0.005351 Loss_D_real: -0.017022 Loss_D_fake 0.003735
[1414/5000][75/535][145885] Loss_D: -0.019510 Loss_G: 0.008161 Loss_D_real: -0.017429 Loss_D_fake 0.002081
[1414/5000][80/535][145886] Loss_D: -0.019732 Loss_G: 0.014402 Loss_D_real: -0.026138 Loss_D_fake -0.006407
[1414/5000][85/535][145887] Loss_D: -0.019360 Loss_G: 0.018520 Loss_D_real: -0.033919 Loss_D_fake -0.014559
[1414/5000][90/535][145888] Loss_D: -0.019872 Loss_G: 0.028385 Loss_D_real: -0.024653 Loss_D_fake -0.004781
[1414/5000][95/535][145889] Loss_D: -0.020996 Loss_G: -0.006662 Loss_D_real: -0.019404 Loss_D_fake 0.001592
[1414/5000][100/535][145890] Loss_D: -0.019098 Loss_G: 0.016735 Loss_D_real: -0.036161 Loss_D_fake -0.017063
[1414/5000][105/535][145891] Loss_D: -0.019514 Loss_G: 0.008910 Loss_D_real: -0.021189 Loss_D_fake -0.001675
[1414/5000][110/535][145892] Loss_D: -0.020710 Loss_G: 0.017816 Loss_D_real: -0.023655 Loss_D_fake -0.002945
[1414/5000][115/535][145893] Loss_D: -0.020566 Loss_G: -0.011732 Loss_D_real: 0.004209 Loss_D_fake 0.024775
[1414/5000][120/535][145894] Loss_D: -0.019512 Loss_G: 0.025760 Loss_D_real: -0.023347 Loss_D_fake -0.003835
[1414/5000][125/535][145895] Loss_D: -0.020402 Loss_G: 0.014027 Loss_D_real: -0.024111 Loss_D_fake -0.003709
[1414/5000][130/535][145896] Loss_D: -0.018800 Loss_G: 0.012840 Loss_D_real: -0.020915 Loss_D_fake -0.002115
[1414/5000][135/535][145897] Loss_D: -0.018288 Loss_G: -0.015256 Loss_D_real: 0.007184 Loss_D_fake 0.025472
[1414/5000][140/535][145898] Loss_D: -0.020709 Loss_G: 0.003373 Loss_D_real: -0.025242 Loss_D_fake -0.004533
[1414/5000][145/535][145899] Loss_D: -0.021178 Loss_G: 0.006205 Loss_D_real: -0.013924 Loss_D_fake 0.007254
[1414/5000][150/535][145900] Loss_D: -0.020729 Loss_G: 0.000076 Loss_D_real: -0.015232 Loss_D_fake 0.005497
[1414/5000][155/535][145901] Loss_D: -0.019573 Loss_G: 0.011298 Loss_D_real: -0.020882 Loss_D_fake -0.001309
[1414/5000][160/535][145902] Loss_D: -0.019030 Loss_G: 0.017278 Loss_D_real: -0.030244 Loss_D_fake -0.011214
[1414/5000][165/535][145903] Loss_D: -0.019060 Loss_G: 0.009290 Loss_D_real: -0.014319 Loss_D_fake 0.004741
[1414/5000][170/535][145904] Loss_D: -0.020484 Loss_G: 0.001548 Loss_D_real: -0.023258 Loss_D_fake -0.002774
[1414/5000][175/535][145905] Loss_D: -0.019909 Loss_G: 0.005158 Loss_D_real: -0.023730 Loss_D_fake -0.003821
[1414/5000][180/535][145906] Loss_D: -0.020624 Loss_G: 0.023789 Loss_D_real: -0.019052 Loss_D_fake 0.001572
[1414/5000][185/535][145907] Loss_D: -0.020171 Loss_G: -0.011084 Loss_D_real: -0.000051 Loss_D_fake 0.020120
[1414/5000][190/535][145908] Loss_D: -0.020531 Loss_G: 0.005375 Loss_D_real: -0.011679 Loss_D_fake 0.008852
[1414/5000][195/535][145909] Loss_D: -0.020279 Loss_G: -0.004619 Loss_D_real: -0.006329 Loss_D_fake 0.013950
[1414/5000][200/535][145910] Loss_D: -0.016523 Loss_G: 0.014709 Loss_D_real: -0.026431 Loss_D_fake -0.009908
[1414/5000][205/535][145911] Loss_D: -0.020004 Loss_G: -0.019130 Loss_D_real: -0.022009 Loss_D_fake -0.002005
[1414/5000][210/535][145912] Loss_D: -0.020914 Loss_G: -0.008555 Loss_D_real: -0.009647 Loss_D_fake 0.011267
[1414/5000][215/535][145913] Loss_D: -0.019160 Loss_G: -0.003210 Loss_D_real: -0.009789 Loss_D_fake 0.009371
[1414/5000][220/535][145914] Loss_D: -0.018794 Loss_G: 0.021333 Loss_D_real: -0.025803 Loss_D_fake -0.007009
[1414/5000][225/535][145915] Loss_D: -0.019435 Loss_G: 0.019619 Loss_D_real: -0.032305 Loss_D_fake -0.012870
[1414/5000][230/535][145916] Loss_D: -0.021247 Loss_G: -0.010644 Loss_D_real: -0.002699 Loss_D_fake 0.018549
[1414/5000][235/535][145917] Loss_D: -0.020200 Loss_G: 0.015362 Loss_D_real: -0.018846 Loss_D_fake 0.001354
[1414/5000][240/535][145918] Loss_D: -0.020998 Loss_G: 0.025620 Loss_D_real: -0.023950 Loss_D_fake -0.002952
[1414/5000][245/535][145919] Loss_D: -0.019004 Loss_G: 0.011340 Loss_D_real: -0.018813 Loss_D_fake 0.000191
[1414/5000][250/535][145920] Loss_D: -0.020496 Loss_G: 0.009764 Loss_D_real: -0.029312 Loss_D_fake -0.008816
[1414/5000][255/535][145921] Loss_D: -0.019661 Loss_G: 0.021281 Loss_D_real: -0.024258 Loss_D_fake -0.004598
[1414/5000][260/535][145922] Loss_D: -0.020531 Loss_G: 0.032401 Loss_D_real: -0.032587 Loss_D_fake -0.012056
[1414/5000][265/535][145923] Loss_D: -0.020064 Loss_G: 0.015842 Loss_D_real: -0.018522 Loss_D_fake 0.001542
[1414/5000][270/535][145924] Loss_D: -0.018783 Loss_G: 0.000940 Loss_D_real: -0.001201 Loss_D_fake 0.017582
[1414/5000][275/535][145925] Loss_D: -0.019364 Loss_G: 0.020692 Loss_D_real: -0.016514 Loss_D_fake 0.002851
[1414/5000][280/535][145926] Loss_D: -0.020242 Loss_G: 0.020638 Loss_D_real: -0.018027 Loss_D_fake 0.002214
[1414/5000][285/535][145927] Loss_D: -0.020890 Loss_G: 0.005287 Loss_D_real: -0.018792 Loss_D_fake 0.002098
[1414/5000][290/535][145928] Loss_D: -0.017754 Loss_G: 0.024561 Loss_D_real: -0.032217 Loss_D_fake -0.014463
[1414/5000][295/535][145929] Loss_D: -0.021443 Loss_G: -0.012047 Loss_D_real: -0.011897 Loss_D_fake 0.009546
[1414/5000][300/535][145930] Loss_D: -0.020094 Loss_G: 0.012146 Loss_D_real: -0.029047 Loss_D_fake -0.008953
[1414/5000][305/535][145931] Loss_D: -0.019722 Loss_G: 0.025669 Loss_D_real: -0.014793 Loss_D_fake 0.004929
[1414/5000][310/535][145932] Loss_D: -0.020017 Loss_G: 0.005761 Loss_D_real: -0.014378 Loss_D_fake 0.005638
[1414/5000][315/535][145933] Loss_D: -0.018778 Loss_G: 0.005999 Loss_D_real: -0.027312 Loss_D_fake -0.008534
[1414/5000][320/535][145934] Loss_D: -0.020999 Loss_G: -0.004125 Loss_D_real: -0.008836 Loss_D_fake 0.012162
[1414/5000][325/535][145935] Loss_D: -0.018809 Loss_G: -0.014862 Loss_D_real: -0.003532 Loss_D_fake 0.015278
[1414/5000][330/535][145936] Loss_D: -0.020495 Loss_G: -0.001169 Loss_D_real: -0.010942 Loss_D_fake 0.009553
[1414/5000][335/535][145937] Loss_D: -0.019517 Loss_G: 0.024530 Loss_D_real: -0.027151 Loss_D_fake -0.007634
[1414/5000][340/535][145938] Loss_D: -0.020610 Loss_G: 0.006635 Loss_D_real: -0.007363 Loss_D_fake 0.013247
[1414/5000][345/535][145939] Loss_D: -0.018818 Loss_G: 0.026460 Loss_D_real: -0.033484 Loss_D_fake -0.014666
[1414/5000][350/535][145940] Loss_D: -0.019206 Loss_G: 0.001498 Loss_D_real: -0.012034 Loss_D_fake 0.007172
[1414/5000][355/535][145941] Loss_D: -0.019787 Loss_G: 0.009201 Loss_D_real: -0.003861 Loss_D_fake 0.015927
[1414/5000][360/535][145942] Loss_D: -0.019889 Loss_G: 0.009623 Loss_D_real: -0.023956 Loss_D_fake -0.004067
[1414/5000][365/535][145943] Loss_D: -0.021376 Loss_G: 0.015059 Loss_D_real: -0.034532 Loss_D_fake -0.013155
[1414/5000][370/535][145944] Loss_D: -0.021042 Loss_G: 0.002367 Loss_D_real: -0.025800 Loss_D_fake -0.004758
[1414/5000][375/535][145945] Loss_D: -0.018997 Loss_G: 0.013512 Loss_D_real: -0.040438 Loss_D_fake -0.021441
[1414/5000][380/535][145946] Loss_D: -0.019966 Loss_G: -0.010136 Loss_D_real: -0.012169 Loss_D_fake 0.007797
[1414/5000][385/535][145947] Loss_D: -0.020878 Loss_G: 0.009234 Loss_D_real: -0.009637 Loss_D_fake 0.011241
[1414/5000][390/535][145948] Loss_D: -0.020897 Loss_G: 0.010962 Loss_D_real: -0.018993 Loss_D_fake 0.001903
[1414/5000][395/535][145949] Loss_D: -0.019702 Loss_G: 0.007465 Loss_D_real: -0.008817 Loss_D_fake 0.010885
[1414/5000][400/535][145950] Loss_D: -0.021205 Loss_G: -0.012908 Loss_D_real: -0.020052 Loss_D_fake 0.001152
[1414/5000][405/535][145951] Loss_D: -0.021147 Loss_G: 0.015790 Loss_D_real: -0.021301 Loss_D_fake -0.000154
[1414/5000][410/535][145952] Loss_D: -0.021430 Loss_G: 0.011805 Loss_D_real: -0.023442 Loss_D_fake -0.002012
[1414/5000][415/535][145953] Loss_D: -0.021350 Loss_G: -0.009943 Loss_D_real: 0.002256 Loss_D_fake 0.023605
[1414/5000][420/535][145954] Loss_D: -0.020940 Loss_G: 0.014982 Loss_D_real: -0.020552 Loss_D_fake 0.000388
[1414/5000][425/535][145955] Loss_D: -0.019205 Loss_G: 0.015891 Loss_D_real: -0.031434 Loss_D_fake -0.012229
[1414/5000][430/535][145956] Loss_D: -0.020019 Loss_G: 0.012035 Loss_D_real: -0.015321 Loss_D_fake 0.004698
[1414/5000][435/535][145957] Loss_D: -0.020840 Loss_G: 0.011549 Loss_D_real: -0.017779 Loss_D_fake 0.003060
[1414/5000][440/535][145958] Loss_D: -0.020001 Loss_G: 0.013627 Loss_D_real: -0.018946 Loss_D_fake 0.001055
[1414/5000][445/535][145959] Loss_D: -0.019320 Loss_G: -0.012019 Loss_D_real: -0.012112 Loss_D_fake 0.007208
[1414/5000][450/535][145960] Loss_D: -0.019761 Loss_G: 0.020465 Loss_D_real: -0.015469 Loss_D_fake 0.004292
[1414/5000][455/535][145961] Loss_D: -0.018924 Loss_G: -0.003683 Loss_D_real: -0.004005 Loss_D_fake 0.014920
[1414/5000][460/535][145962] Loss_D: -0.019025 Loss_G: 0.004894 Loss_D_real: -0.012647 Loss_D_fake 0.006377
[1414/5000][465/535][145963] Loss_D: -0.019360 Loss_G: 0.000647 Loss_D_real: -0.005390 Loss_D_fake 0.013970
[1414/5000][470/535][145964] Loss_D: -0.018573 Loss_G: 0.025638 Loss_D_real: -0.029602 Loss_D_fake -0.011029
[1414/5000][475/535][145965] Loss_D: -0.019689 Loss_G: -0.000004 Loss_D_real: -0.022255 Loss_D_fake -0.002566
[1414/5000][480/535][145966] Loss_D: -0.018060 Loss_G: 0.017985 Loss_D_real: -0.029152 Loss_D_fake -0.011092
[1414/5000][485/535][145967] Loss_D: -0.019530 Loss_G: 0.002302 Loss_D_real: -0.006492 Loss_D_fake 0.013038
[1414/5000][490/535][145968] Loss_D: -0.019504 Loss_G: 0.011935 Loss_D_real: -0.020131 Loss_D_fake -0.000627
[1414/5000][495/535][145969] Loss_D: -0.019182 Loss_G: 0.002195 Loss_D_real: 0.001407 Loss_D_fake 0.020589
[1414/5000][500/535][145970] Loss_D: -0.018259 Loss_G: -0.019786 Loss_D_real: 0.004449 Loss_D_fake 0.022708
[1414/5000][505/535][145971] Loss_D: -0.020438 Loss_G: 0.012216 Loss_D_real: -0.018386 Loss_D_fake 0.002052
[1414/5000][510/535][145972] Loss_D: -0.019277 Loss_G: 0.008861 Loss_D_real: -0.027687 Loss_D_fake -0.008410
[1414/5000][515/535][145973] Loss_D: -0.020095 Loss_G: 0.007831 Loss_D_real: -0.014133 Loss_D_fake 0.005962
[1414/5000][520/535][145974] Loss_D: -0.019235 Loss_G: -0.002454 Loss_D_real: -0.015478 Loss_D_fake 0.003757
[1414/5000][525/535][145975] Loss_D: -0.020058 Loss_G: 0.002457 Loss_D_real: -0.019602 Loss_D_fake 0.000456
[1414/5000][530/535][145976] Loss_D: -0.019656 Loss_G: 0.002208 Loss_D_real: -0.007900 Loss_D_fake 0.011756
[1414/5000][535/535][145977] Loss_D: -0.020834 Loss_G: 0.010825 Loss_D_real: -0.024559 Loss_D_fake -0.003725
[1415/5000][5/535][145978] Loss_D: -0.018497 Loss_G: 0.003811 Loss_D_real: -0.017620 Loss_D_fake 0.000877
[1415/5000][10/535][145979] Loss_D: -0.021010 Loss_G: 0.022603 Loss_D_real: -0.022073 Loss_D_fake -0.001062
[1415/5000][15/535][145980] Loss_D: -0.020457 Loss_G: -0.003258 Loss_D_real: -0.020634 Loss_D_fake -0.000177
[1415/5000][20/535][145981] Loss_D: -0.020343 Loss_G: 0.019369 Loss_D_real: -0.022436 Loss_D_fake -0.002093
[1415/5000][25/535][145982] Loss_D: -0.018821 Loss_G: -0.018222 Loss_D_real: 0.007157 Loss_D_fake 0.025978
[1415/5000][30/535][145983] Loss_D: -0.019338 Loss_G: -0.005934 Loss_D_real: -0.004522 Loss_D_fake 0.014817
[1415/5000][35/535][145984] Loss_D: -0.020334 Loss_G: 0.004694 Loss_D_real: -0.012824 Loss_D_fake 0.007510
[1415/5000][40/535][145985] Loss_D: -0.020531 Loss_G: 0.018460 Loss_D_real: -0.018704 Loss_D_fake 0.001827
[1415/5000][45/535][145986] Loss_D: -0.019939 Loss_G: -0.008578 Loss_D_real: -0.010300 Loss_D_fake 0.009639
[1415/5000][50/535][145987] Loss_D: -0.019832 Loss_G: 0.000884 Loss_D_real: -0.010954 Loss_D_fake 0.008877
[1415/5000][55/535][145988] Loss_D: -0.019011 Loss_G: 0.022405 Loss_D_real: -0.032027 Loss_D_fake -0.013016
[1415/5000][60/535][145989] Loss_D: -0.020445 Loss_G: 0.002970 Loss_D_real: -0.017995 Loss_D_fake 0.002450
[1415/5000][65/535][145990] Loss_D: -0.019714 Loss_G: 0.003257 Loss_D_real: -0.000198 Loss_D_fake 0.019516
[1415/5000][70/535][145991] Loss_D: -0.020407 Loss_G: 0.014578 Loss_D_real: -0.022113 Loss_D_fake -0.001706
[1415/5000][75/535][145992] Loss_D: -0.019661 Loss_G: 0.034408 Loss_D_real: -0.020536 Loss_D_fake -0.000875
[1415/5000][80/535][145993] Loss_D: -0.019826 Loss_G: 0.018208 Loss_D_real: -0.023162 Loss_D_fake -0.003336
[1415/5000][85/535][145994] Loss_D: -0.020755 Loss_G: 0.001569 Loss_D_real: -0.015997 Loss_D_fake 0.004758
[1415/5000][90/535][145995] Loss_D: -0.021482 Loss_G: 0.023858 Loss_D_real: -0.027300 Loss_D_fake -0.005818
[1415/5000][95/535][145996] Loss_D: -0.021706 Loss_G: 0.008856 Loss_D_real: -0.014292 Loss_D_fake 0.007414
[1415/5000][100/535][145997] Loss_D: -0.020615 Loss_G: -0.007798 Loss_D_real: -0.014480 Loss_D_fake 0.006135
[1415/5000][105/535][145998] Loss_D: -0.019609 Loss_G: 0.005984 Loss_D_real: -0.013079 Loss_D_fake 0.006530
[1415/5000][110/535][145999] Loss_D: -0.020266 Loss_G: 0.001696 Loss_D_real: -0.012936 Loss_D_fake 0.007330
[1415/5000][115/535][146000] Loss_D: -0.020347 Loss_G: 0.004785 Loss_D_real: -0.023506 Loss_D_fake -0.003160
[1415/5000][215/535][146001] Loss_D: -0.018559 Loss_G: 0.027672 Loss_D_real: -0.040096 Loss_D_fake -0.021537
[1415/5000][220/535][146002] Loss_D: -0.019436 Loss_G: -0.003453 Loss_D_real: -0.003515 Loss_D_fake 0.015921
[1415/5000][225/535][146003] Loss_D: -0.018668 Loss_G: 0.004082 Loss_D_real: -0.012353 Loss_D_fake 0.006315
[1415/5000][230/535][146004] Loss_D: -0.018594 Loss_G: 0.006739 Loss_D_real: -0.021482 Loss_D_fake -0.002889
[1415/5000][235/535][146005] Loss_D: -0.019176 Loss_G: 0.015429 Loss_D_real: -0.017318 Loss_D_fake 0.001857
[1415/5000][240/535][146006] Loss_D: -0.018804 Loss_G: 0.002894 Loss_D_real: -0.014311 Loss_D_fake 0.004493
[1415/5000][245/535][146007] Loss_D: -0.020106 Loss_G: 0.003298 Loss_D_real: -0.006700 Loss_D_fake 0.013406
[1415/5000][250/535][146008] Loss_D: -0.020249 Loss_G: 0.002122 Loss_D_real: -0.008225 Loss_D_fake 0.012024
[1415/5000][255/535][146009] Loss_D: -0.020598 Loss_G: 0.012607 Loss_D_real: -0.017749 Loss_D_fake 0.002849
[1415/5000][260/535][146010] Loss_D: -0.018455 Loss_G: 0.008887 Loss_D_real: -0.002891 Loss_D_fake 0.015564
[1415/5000][265/535][146011] Loss_D: -0.019096 Loss_G: 0.010944 Loss_D_real: -0.007029 Loss_D_fake 0.012067
[1415/5000][270/535][146012] Loss_D: -0.018975 Loss_G: -0.004623 Loss_D_real: -0.021852 Loss_D_fake -0.002877
[1415/5000][275/535][146013] Loss_D: -0.020572 Loss_G: 0.007962 Loss_D_real: -0.013802 Loss_D_fake 0.006770
[1415/5000][280/535][146014] Loss_D: -0.020032 Loss_G: -0.000427 Loss_D_real: -0.016924 Loss_D_fake 0.003108
[1415/5000][285/535][146015] Loss_D: -0.019455 Loss_G: -0.013476 Loss_D_real: -0.006680 Loss_D_fake 0.012775
[1415/5000][290/535][146016] Loss_D: -0.021658 Loss_G: 0.000743 Loss_D_real: -0.013613 Loss_D_fake 0.008045
[1415/5000][295/535][146017] Loss_D: -0.020231 Loss_G: 0.007223 Loss_D_real: -0.027281 Loss_D_fake -0.007050
[1415/5000][300/535][146018] Loss_D: -0.019127 Loss_G: -0.001951 Loss_D_real: -0.023916 Loss_D_fake -0.004788
[1415/5000][305/535][146019] Loss_D: -0.019192 Loss_G: -0.006380 Loss_D_real: -0.007293 Loss_D_fake 0.011899
[1415/5000][310/535][146020] Loss_D: -0.020035 Loss_G: 0.015412 Loss_D_real: -0.022619 Loss_D_fake -0.002584
[1415/5000][315/535][146021] Loss_D: -0.020324 Loss_G: -0.012635 Loss_D_real: -0.004288 Loss_D_fake 0.016036
[1415/5000][320/535][146022] Loss_D: -0.019522 Loss_G: 0.019595 Loss_D_real: -0.029999 Loss_D_fake -0.010476
[1415/5000][325/535][146023] Loss_D: -0.018514 Loss_G: -0.009389 Loss_D_real: 0.001091 Loss_D_fake 0.019605
[1415/5000][330/535][146024] Loss_D: -0.015429 Loss_G: 0.030465 Loss_D_real: -0.038137 Loss_D_fake -0.022708
[1415/5000][335/535][146025] Loss_D: -0.018919 Loss_G: -0.005649 Loss_D_real: -0.010392 Loss_D_fake 0.008527
[1415/5000][340/535][146026] Loss_D: -0.019379 Loss_G: 0.010831 Loss_D_real: -0.016658 Loss_D_fake 0.002721
[1415/5000][345/535][146027] Loss_D: -0.019193 Loss_G: 0.003683 Loss_D_real: -0.023335 Loss_D_fake -0.004142
[1415/5000][350/535][146028] Loss_D: -0.018756 Loss_G: 0.016889 Loss_D_real: -0.017548 Loss_D_fake 0.001208
[1415/5000][355/535][146029] Loss_D: -0.020125 Loss_G: 0.003362 Loss_D_real: -0.000708 Loss_D_fake 0.019417
[1415/5000][360/535][146030] Loss_D: -0.021532 Loss_G: 0.004018 Loss_D_real: -0.006480 Loss_D_fake 0.015052
[1415/5000][365/535][146031] Loss_D: -0.020310 Loss_G: -0.008320 Loss_D_real: -0.004448 Loss_D_fake 0.015862
[1415/5000][370/535][146032] Loss_D: -0.020053 Loss_G: -0.002107 Loss_D_real: -0.014677 Loss_D_fake 0.005376
[1415/5000][375/535][146033] Loss_D: -0.019468 Loss_G: 0.012733 Loss_D_real: -0.032443 Loss_D_fake -0.012975
[1415/5000][380/535][146034] Loss_D: -0.020775 Loss_G: 0.002943 Loss_D_real: -0.003815 Loss_D_fake 0.016960
[1415/5000][385/535][146035] Loss_D: -0.020024 Loss_G: 0.026883 Loss_D_real: -0.029344 Loss_D_fake -0.009319
[1415/5000][390/535][146036] Loss_D: -0.020275 Loss_G: -0.003244 Loss_D_real: -0.011297 Loss_D_fake 0.008978
[1415/5000][395/535][146037] Loss_D: -0.021417 Loss_G: 0.001378 Loss_D_real: -0.010631 Loss_D_fake 0.010787
[1415/5000][400/535][146038] Loss_D: -0.019878 Loss_G: 0.013907 Loss_D_real: -0.023755 Loss_D_fake -0.003878
[1415/5000][405/535][146039] Loss_D: -0.020309 Loss_G: 0.013153 Loss_D_real: -0.029492 Loss_D_fake -0.009182
[1415/5000][410/535][146040] Loss_D: -0.018907 Loss_G: 0.021904 Loss_D_real: -0.031166 Loss_D_fake -0.012260
[1415/5000][415/535][146041] Loss_D: -0.020338 Loss_G: 0.011575 Loss_D_real: -0.019535 Loss_D_fake 0.000803
[1415/5000][420/535][146042] Loss_D: -0.021413 Loss_G: 0.006471 Loss_D_real: -0.019098 Loss_D_fake 0.002316
[1415/5000][425/535][146043] Loss_D: -0.019637 Loss_G: 0.010036 Loss_D_real: -0.018030 Loss_D_fake 0.001607
[1415/5000][430/535][146044] Loss_D: -0.019474 Loss_G: 0.013108 Loss_D_real: -0.037446 Loss_D_fake -0.017973
[1415/5000][435/535][146045] Loss_D: -0.020041 Loss_G: -0.002946 Loss_D_real: -0.010634 Loss_D_fake 0.009407
[1415/5000][440/535][146046] Loss_D: -0.019578 Loss_G: 0.019998 Loss_D_real: -0.030127 Loss_D_fake -0.010549
[1415/5000][445/535][146047] Loss_D: -0.019135 Loss_G: -0.010446 Loss_D_real: -0.008090 Loss_D_fake 0.011045
[1415/5000][450/535][146048] Loss_D: -0.020762 Loss_G: -0.000754 Loss_D_real: 0.006367 Loss_D_fake 0.027129
[1415/5000][455/535][146049] Loss_D: -0.018924 Loss_G: 0.008918 Loss_D_real: -0.015238 Loss_D_fake 0.003686
[1415/5000][460/535][146050] Loss_D: -0.018426 Loss_G: -0.027437 Loss_D_real: 0.002719 Loss_D_fake 0.021144
[1415/5000][465/535][146051] Loss_D: -0.018924 Loss_G: 0.013702 Loss_D_real: -0.015628 Loss_D_fake 0.003296
[1415/5000][470/535][146052] Loss_D: -0.019697 Loss_G: 0.019928 Loss_D_real: -0.018831 Loss_D_fake 0.000866
[1415/5000][475/535][146053] Loss_D: -0.019600 Loss_G: -0.007280 Loss_D_real: -0.010527 Loss_D_fake 0.009073
[1415/5000][480/535][146054] Loss_D: -0.018573 Loss_G: -0.004622 Loss_D_real: -0.015104 Loss_D_fake 0.003469
[1415/5000][485/535][146055] Loss_D: -0.018787 Loss_G: 0.003206 Loss_D_real: -0.024045 Loss_D_fake -0.005258
[1415/5000][490/535][146056] Loss_D: -0.019309 Loss_G: 0.001709 Loss_D_real: -0.006480 Loss_D_fake 0.012829
[1415/5000][495/535][146057] Loss_D: -0.018493 Loss_G: 0.010615 Loss_D_real: -0.023467 Loss_D_fake -0.004974
[1415/5000][500/535][146058] Loss_D: -0.020826 Loss_G: 0.015382 Loss_D_real: -0.018744 Loss_D_fake 0.002082
[1415/5000][505/535][146059] Loss_D: -0.019810 Loss_G: 0.024279 Loss_D_real: -0.025852 Loss_D_fake -0.006041
[1415/5000][510/535][146060] Loss_D: -0.019966 Loss_G: 0.010700 Loss_D_real: -0.019623 Loss_D_fake 0.000343
[1415/5000][515/535][146061] Loss_D: -0.019182 Loss_G: 0.027632 Loss_D_real: -0.038787 Loss_D_fake -0.019604
[1415/5000][520/535][146062] Loss_D: -0.019342 Loss_G: -0.012054 Loss_D_real: -0.008859 Loss_D_fake 0.010483
[1415/5000][525/535][146063] Loss_D: -0.020143 Loss_G: 0.003694 Loss_D_real: -0.015896 Loss_D_fake 0.004247
[1415/5000][530/535][146064] Loss_D: -0.019961 Loss_G: 0.014425 Loss_D_real: -0.023876 Loss_D_fake -0.003916
[1415/5000][535/535][146065] Loss_D: -0.020977 Loss_G: -0.012473 Loss_D_real: -0.024612 Loss_D_fake -0.003635
[1416/5000][5/535][146066] Loss_D: -0.022212 Loss_G: -0.006194 Loss_D_real: -0.004889 Loss_D_fake 0.017324
[1416/5000][10/535][146067] Loss_D: -0.018983 Loss_G: 0.009557 Loss_D_real: -0.037119 Loss_D_fake -0.018136
[1416/5000][15/535][146068] Loss_D: -0.020010 Loss_G: -0.000443 Loss_D_real: -0.012755 Loss_D_fake 0.007255
[1416/5000][20/535][146069] Loss_D: -0.020951 Loss_G: 0.016253 Loss_D_real: -0.016697 Loss_D_fake 0.004254
[1416/5000][25/535][146070] Loss_D: -0.021058 Loss_G: 0.012465 Loss_D_real: -0.026054 Loss_D_fake -0.004996
[1416/5000][30/535][146071] Loss_D: -0.020926 Loss_G: 0.019395 Loss_D_real: -0.021716 Loss_D_fake -0.000789
[1416/5000][35/535][146072] Loss_D: -0.019550 Loss_G: 0.003543 Loss_D_real: -0.031380 Loss_D_fake -0.011829
[1416/5000][40/535][146073] Loss_D: -0.021193 Loss_G: 0.004549 Loss_D_real: -0.021609 Loss_D_fake -0.000416
[1416/5000][45/535][146074] Loss_D: -0.020307 Loss_G: -0.004247 Loss_D_real: -0.005513 Loss_D_fake 0.014794
[1416/5000][50/535][146075] Loss_D: -0.019117 Loss_G: 0.014166 Loss_D_real: -0.024447 Loss_D_fake -0.005330
[1416/5000][55/535][146076] Loss_D: -0.022312 Loss_G: -0.001825 Loss_D_real: -0.009177 Loss_D_fake 0.013135
[1416/5000][60/535][146077] Loss_D: -0.019614 Loss_G: 0.025998 Loss_D_real: -0.034331 Loss_D_fake -0.014717
[1416/5000][65/535][146078] Loss_D: -0.020671 Loss_G: 0.007767 Loss_D_real: -0.017160 Loss_D_fake 0.003511
[1416/5000][70/535][146079] Loss_D: -0.020552 Loss_G: 0.025449 Loss_D_real: -0.027894 Loss_D_fake -0.007342
[1416/5000][75/535][146080] Loss_D: -0.019253 Loss_G: 0.002888 Loss_D_real: -0.019804 Loss_D_fake -0.000551
[1416/5000][80/535][146081] Loss_D: -0.018568 Loss_G: 0.002325 Loss_D_real: -0.013291 Loss_D_fake 0.005277
[1416/5000][85/535][146082] Loss_D: -0.019701 Loss_G: 0.002094 Loss_D_real: -0.000730 Loss_D_fake 0.018971
[1416/5000][90/535][146083] Loss_D: -0.019445 Loss_G: -0.005227 Loss_D_real: -0.022093 Loss_D_fake -0.002649
[1416/5000][95/535][146084] Loss_D: -0.019280 Loss_G: 0.001148 Loss_D_real: -0.013961 Loss_D_fake 0.005318
[1416/5000][100/535][146085] Loss_D: -0.019530 Loss_G: 0.022178 Loss_D_real: -0.038640 Loss_D_fake -0.019110
[1416/5000][105/535][146086] Loss_D: -0.019770 Loss_G: 0.023497 Loss_D_real: -0.031262 Loss_D_fake -0.011492
[1416/5000][110/535][146087] Loss_D: -0.019732 Loss_G: -0.009986 Loss_D_real: -0.001913 Loss_D_fake 0.017819
[1416/5000][115/535][146088] Loss_D: -0.019109 Loss_G: 0.019803 Loss_D_real: -0.019291 Loss_D_fake -0.000181
[1416/5000][120/535][146089] Loss_D: -0.018180 Loss_G: -0.009119 Loss_D_real: -0.011636 Loss_D_fake 0.006545
[1416/5000][125/535][146090] Loss_D: -0.020042 Loss_G: 0.009276 Loss_D_real: -0.018992 Loss_D_fake 0.001050
[1416/5000][130/535][146091] Loss_D: -0.019675 Loss_G: -0.014784 Loss_D_real: -0.001565 Loss_D_fake 0.018110
[1416/5000][135/535][146092] Loss_D: -0.019837 Loss_G: 0.006708 Loss_D_real: -0.017401 Loss_D_fake 0.002435
[1416/5000][140/535][146093] Loss_D: -0.021173 Loss_G: 0.020950 Loss_D_real: -0.018409 Loss_D_fake 0.002764
[1416/5000][145/535][146094] Loss_D: -0.019223 Loss_G: 0.004272 Loss_D_real: -0.019671 Loss_D_fake -0.000448
[1416/5000][150/535][146095] Loss_D: -0.020206 Loss_G: 0.002883 Loss_D_real: 0.003948 Loss_D_fake 0.024153
[1416/5000][155/535][146096] Loss_D: -0.020140 Loss_G: -0.003512 Loss_D_real: -0.004981 Loss_D_fake 0.015159
[1416/5000][160/535][146097] Loss_D: -0.018839 Loss_G: 0.007560 Loss_D_real: -0.019598 Loss_D_fake -0.000759
[1416/5000][165/535][146098] Loss_D: -0.021337 Loss_G: 0.020331 Loss_D_real: -0.015354 Loss_D_fake 0.005983
[1416/5000][170/535][146099] Loss_D: -0.021329 Loss_G: 0.009723 Loss_D_real: -0.020114 Loss_D_fake 0.001214
[1416/5000][175/535][146100] Loss_D: -0.020334 Loss_G: -0.004376 Loss_D_real: -0.006915 Loss_D_fake 0.013419
[1416/5000][180/535][146101] Loss_D: -0.019820 Loss_G: 0.014560 Loss_D_real: -0.026707 Loss_D_fake -0.006887
[1416/5000][185/535][146102] Loss_D: -0.018966 Loss_G: 0.004659 Loss_D_real: -0.017843 Loss_D_fake 0.001124
[1416/5000][190/535][146103] Loss_D: -0.019512 Loss_G: 0.010903 Loss_D_real: -0.016225 Loss_D_fake 0.003287
[1416/5000][195/535][146104] Loss_D: -0.018399 Loss_G: 0.024403 Loss_D_real: -0.029669 Loss_D_fake -0.011271
[1416/5000][200/535][146105] Loss_D: -0.019847 Loss_G: 0.018145 Loss_D_real: -0.030220 Loss_D_fake -0.010373
[1416/5000][205/535][146106] Loss_D: -0.020127 Loss_G: 0.007625 Loss_D_real: -0.030867 Loss_D_fake -0.010740
[1416/5000][210/535][146107] Loss_D: -0.021556 Loss_G: 0.014247 Loss_D_real: -0.008251 Loss_D_fake 0.013306
[1416/5000][215/535][146108] Loss_D: -0.019569 Loss_G: 0.004213 Loss_D_real: -0.012854 Loss_D_fake 0.006714
[1416/5000][220/535][146109] Loss_D: -0.020203 Loss_G: 0.010882 Loss_D_real: -0.013194 Loss_D_fake 0.007010
[1416/5000][225/535][146110] Loss_D: -0.019142 Loss_G: 0.025640 Loss_D_real: -0.025771 Loss_D_fake -0.006629
[1416/5000][230/535][146111] Loss_D: -0.020746 Loss_G: 0.012553 Loss_D_real: -0.026480 Loss_D_fake -0.005734
[1416/5000][235/535][146112] Loss_D: -0.019532 Loss_G: 0.016333 Loss_D_real: -0.031025 Loss_D_fake -0.011493
[1416/5000][240/535][146113] Loss_D: -0.019598 Loss_G: 0.009593 Loss_D_real: -0.008218 Loss_D_fake 0.011379
[1416/5000][245/535][146114] Loss_D: -0.019012 Loss_G: 0.012705 Loss_D_real: -0.030092 Loss_D_fake -0.011080
[1416/5000][250/535][146115] Loss_D: -0.020650 Loss_G: 0.000620 Loss_D_real: -0.011876 Loss_D_fake 0.008775
[1416/5000][255/535][146116] Loss_D: -0.020490 Loss_G: -0.017238 Loss_D_real: 0.000292 Loss_D_fake 0.020782
[1416/5000][260/535][146117] Loss_D: -0.019816 Loss_G: -0.002366 Loss_D_real: -0.015379 Loss_D_fake 0.004437
[1416/5000][265/535][146118] Loss_D: -0.019214 Loss_G: -0.007689 Loss_D_real: 0.003902 Loss_D_fake 0.023117
[1416/5000][270/535][146119] Loss_D: -0.019596 Loss_G: -0.007070 Loss_D_real: -0.016322 Loss_D_fake 0.003274
[1416/5000][275/535][146120] Loss_D: -0.019720 Loss_G: -0.016077 Loss_D_real: -0.005082 Loss_D_fake 0.014638
[1416/5000][280/535][146121] Loss_D: -0.020064 Loss_G: -0.008838 Loss_D_real: -0.011916 Loss_D_fake 0.008148
[1416/5000][285/535][146122] Loss_D: -0.020274 Loss_G: 0.016343 Loss_D_real: -0.008536 Loss_D_fake 0.011738
[1416/5000][290/535][146123] Loss_D: -0.019324 Loss_G: 0.021029 Loss_D_real: -0.029154 Loss_D_fake -0.009829
[1416/5000][295/535][146124] Loss_D: -0.019396 Loss_G: -0.008294 Loss_D_real: -0.003534 Loss_D_fake 0.015862
[1416/5000][300/535][146125] Loss_D: -0.018488 Loss_G: 0.003774 Loss_D_real: -0.015830 Loss_D_fake 0.002659
[1416/5000][305/535][146126] Loss_D: -0.019095 Loss_G: -0.002758 Loss_D_real: -0.019518 Loss_D_fake -0.000423
[1416/5000][310/535][146127] Loss_D: -0.018960 Loss_G: 0.001926 Loss_D_real: -0.023773 Loss_D_fake -0.004814
[1416/5000][315/535][146128] Loss_D: -0.018590 Loss_G: 0.028749 Loss_D_real: -0.025022 Loss_D_fake -0.006431
[1416/5000][320/535][146129] Loss_D: -0.017912 Loss_G: 0.008348 Loss_D_real: -0.025531 Loss_D_fake -0.007619
[1416/5000][325/535][146130] Loss_D: -0.020296 Loss_G: -0.006413 Loss_D_real: -0.010598 Loss_D_fake 0.009699
[1416/5000][330/535][146131] Loss_D: -0.019330 Loss_G: 0.001202 Loss_D_real: -0.011382 Loss_D_fake 0.007947
[1416/5000][335/535][146132] Loss_D: -0.019047 Loss_G: 0.035879 Loss_D_real: -0.029280 Loss_D_fake -0.010233
[1416/5000][340/535][146133] Loss_D: -0.020400 Loss_G: 0.008469 Loss_D_real: -0.015484 Loss_D_fake 0.004917
[1416/5000][345/535][146134] Loss_D: -0.020674 Loss_G: 0.007959 Loss_D_real: -0.018665 Loss_D_fake 0.002010
[1416/5000][350/535][146135] Loss_D: -0.019964 Loss_G: -0.001953 Loss_D_real: -0.013894 Loss_D_fake 0.006070
[1416/5000][355/535][146136] Loss_D: -0.019692 Loss_G: 0.012103 Loss_D_real: -0.021458 Loss_D_fake -0.001766
[1416/5000][360/535][146137] Loss_D: -0.018845 Loss_G: 0.016310 Loss_D_real: -0.029525 Loss_D_fake -0.010681
[1416/5000][365/535][146138] Loss_D: -0.019210 Loss_G: 0.006741 Loss_D_real: -0.021786 Loss_D_fake -0.002576
[1416/5000][370/535][146139] Loss_D: -0.019840 Loss_G: 0.013373 Loss_D_real: -0.025728 Loss_D_fake -0.005888
[1416/5000][375/535][146140] Loss_D: -0.017732 Loss_G: 0.020490 Loss_D_real: -0.031329 Loss_D_fake -0.013597
[1416/5000][380/535][146141] Loss_D: -0.018502 Loss_G: 0.017622 Loss_D_real: -0.039250 Loss_D_fake -0.020748
[1416/5000][385/535][146142] Loss_D: -0.020768 Loss_G: 0.003561 Loss_D_real: -0.009407 Loss_D_fake 0.011361
[1416/5000][390/535][146143] Loss_D: -0.020761 Loss_G: -0.000159 Loss_D_real: -0.010307 Loss_D_fake 0.010454
[1416/5000][395/535][146144] Loss_D: -0.019876 Loss_G: -0.003920 Loss_D_real: -0.004277 Loss_D_fake 0.015599
[1416/5000][400/535][146145] Loss_D: -0.017173 Loss_G: 0.023851 Loss_D_real: -0.040202 Loss_D_fake -0.023029
[1416/5000][405/535][146146] Loss_D: -0.021762 Loss_G: 0.005377 Loss_D_real: -0.021499 Loss_D_fake 0.000263
[1416/5000][410/535][146147] Loss_D: -0.020929 Loss_G: 0.017617 Loss_D_real: -0.023058 Loss_D_fake -0.002129
[1416/5000][415/535][146148] Loss_D: -0.020674 Loss_G: 0.025595 Loss_D_real: -0.032714 Loss_D_fake -0.012040
[1416/5000][420/535][146149] Loss_D: -0.019939 Loss_G: 0.024385 Loss_D_real: -0.030066 Loss_D_fake -0.010127
[1416/5000][425/535][146150] Loss_D: -0.019696 Loss_G: 0.012464 Loss_D_real: -0.021704 Loss_D_fake -0.002009
[1416/5000][430/535][146151] Loss_D: -0.020048 Loss_G: -0.011934 Loss_D_real: -0.014436 Loss_D_fake 0.005612
[1416/5000][435/535][146152] Loss_D: -0.020066 Loss_G: -0.003698 Loss_D_real: -0.019212 Loss_D_fake 0.000854
[1416/5000][440/535][146153] Loss_D: -0.019589 Loss_G: -0.000495 Loss_D_real: -0.010202 Loss_D_fake 0.009387
[1416/5000][445/535][146154] Loss_D: -0.019393 Loss_G: -0.001230 Loss_D_real: -0.017197 Loss_D_fake 0.002196
[1416/5000][450/535][146155] Loss_D: -0.017994 Loss_G: 0.027468 Loss_D_real: -0.022329 Loss_D_fake -0.004335
[1416/5000][455/535][146156] Loss_D: -0.021055 Loss_G: 0.006785 Loss_D_real: -0.006345 Loss_D_fake 0.014710
[1416/5000][460/535][146157] Loss_D: -0.019471 Loss_G: 0.022922 Loss_D_real: -0.030808 Loss_D_fake -0.011338
[1416/5000][465/535][146158] Loss_D: -0.019904 Loss_G: 0.004047 Loss_D_real: -0.024983 Loss_D_fake -0.005079
[1416/5000][470/535][146159] Loss_D: -0.021011 Loss_G: 0.001364 Loss_D_real: -0.015092 Loss_D_fake 0.005919
[1416/5000][475/535][146160] Loss_D: -0.019523 Loss_G: 0.006019 Loss_D_real: -0.008034 Loss_D_fake 0.011489
[1416/5000][480/535][146161] Loss_D: -0.020688 Loss_G: 0.005057 Loss_D_real: -0.024862 Loss_D_fake -0.004174
[1416/5000][485/535][146162] Loss_D: -0.018178 Loss_G: 0.032545 Loss_D_real: -0.028229 Loss_D_fake -0.010052
[1416/5000][490/535][146163] Loss_D: -0.019322 Loss_G: -0.002422 Loss_D_real: -0.014702 Loss_D_fake 0.004620
[1416/5000][495/535][146164] Loss_D: -0.020257 Loss_G: 0.018647 Loss_D_real: -0.031912 Loss_D_fake -0.011655
[1416/5000][500/535][146165] Loss_D: -0.020277 Loss_G: 0.001950 Loss_D_real: -0.012792 Loss_D_fake 0.007486
[1416/5000][505/535][146166] Loss_D: -0.019697 Loss_G: 0.020934 Loss_D_real: -0.027688 Loss_D_fake -0.007991
[1416/5000][510/535][146167] Loss_D: -0.018264 Loss_G: 0.019101 Loss_D_real: -0.025909 Loss_D_fake -0.007645
[1416/5000][515/535][146168] Loss_D: -0.020103 Loss_G: 0.003086 Loss_D_real: -0.011691 Loss_D_fake 0.008412
[1416/5000][520/535][146169] Loss_D: -0.019149 Loss_G: 0.011345 Loss_D_real: -0.007874 Loss_D_fake 0.011275
[1416/5000][525/535][146170] Loss_D: -0.020452 Loss_G: -0.010441 Loss_D_real: -0.001517 Loss_D_fake 0.018935
[1416/5000][530/535][146171] Loss_D: -0.019965 Loss_G: 0.008007 Loss_D_real: -0.015414 Loss_D_fake 0.004551
[1416/5000][535/535][146172] Loss_D: -0.017319 Loss_G: 0.003877 Loss_D_real: -0.028179 Loss_D_fake -0.010860
[1417/5000][5/535][146173] Loss_D: -0.020843 Loss_G: 0.013591 Loss_D_real: -0.023325 Loss_D_fake -0.002482
[1417/5000][10/535][146174] Loss_D: -0.021035 Loss_G: 0.001942 Loss_D_real: -0.006665 Loss_D_fake 0.014371
[1417/5000][15/535][146175] Loss_D: -0.020629 Loss_G: 0.004650 Loss_D_real: -0.007626 Loss_D_fake 0.013003
[1417/5000][20/535][146176] Loss_D: -0.020153 Loss_G: 0.003658 Loss_D_real: -0.004411 Loss_D_fake 0.015742
[1417/5000][25/535][146177] Loss_D: -0.021230 Loss_G: 0.014604 Loss_D_real: -0.018557 Loss_D_fake 0.002673
[1417/5000][30/535][146178] Loss_D: -0.020661 Loss_G: 0.023177 Loss_D_real: -0.017966 Loss_D_fake 0.002695
[1417/5000][35/535][146179] Loss_D: -0.020565 Loss_G: -0.006477 Loss_D_real: -0.012120 Loss_D_fake 0.008445
[1417/5000][40/535][146180] Loss_D: -0.020419 Loss_G: 0.009444 Loss_D_real: -0.018151 Loss_D_fake 0.002268
[1417/5000][45/535][146181] Loss_D: -0.019885 Loss_G: -0.007760 Loss_D_real: -0.018592 Loss_D_fake 0.001292
[1417/5000][50/535][146182] Loss_D: -0.020628 Loss_G: 0.010814 Loss_D_real: -0.023764 Loss_D_fake -0.003136
[1417/5000][55/535][146183] Loss_D: -0.019412 Loss_G: -0.019726 Loss_D_real: 0.001774 Loss_D_fake 0.021186
[1417/5000][60/535][146184] Loss_D: -0.019014 Loss_G: -0.002290 Loss_D_real: -0.013316 Loss_D_fake 0.005698
[1417/5000][65/535][146185] Loss_D: -0.019536 Loss_G: 0.016101 Loss_D_real: -0.015152 Loss_D_fake 0.004384
[1417/5000][70/535][146186] Loss_D: -0.019708 Loss_G: -0.005791 Loss_D_real: 0.000605 Loss_D_fake 0.020313
[1417/5000][75/535][146187] Loss_D: -0.019489 Loss_G: 0.004442 Loss_D_real: -0.010856 Loss_D_fake 0.008633
[1417/5000][80/535][146188] Loss_D: -0.018575 Loss_G: -0.004483 Loss_D_real: -0.006799 Loss_D_fake 0.011776
[1417/5000][85/535][146189] Loss_D: -0.020616 Loss_G: 0.003306 Loss_D_real: -0.020059 Loss_D_fake 0.000557
[1417/5000][90/535][146190] Loss_D: -0.017962 Loss_G: -0.005822 Loss_D_real: -0.011939 Loss_D_fake 0.006023
[1417/5000][95/535][146191] Loss_D: -0.018818 Loss_G: 0.025497 Loss_D_real: -0.037980 Loss_D_fake -0.019163
[1417/5000][100/535][146192] Loss_D: -0.020549 Loss_G: -0.000159 Loss_D_real: -0.020422 Loss_D_fake 0.000127
[1417/5000][105/535][146193] Loss_D: -0.019157 Loss_G: 0.028773 Loss_D_real: -0.036023 Loss_D_fake -0.016865
[1417/5000][110/535][146194] Loss_D: -0.020239 Loss_G: 0.007169 Loss_D_real: -0.023498 Loss_D_fake -0.003260
[1417/5000][115/535][146195] Loss_D: -0.020428 Loss_G: -0.010861 Loss_D_real: 0.004687 Loss_D_fake 0.025115
[1417/5000][120/535][146196] Loss_D: -0.017500 Loss_G: -0.025573 Loss_D_real: 0.002450 Loss_D_fake 0.019949
[1417/5000][125/535][146197] Loss_D: -0.018831 Loss_G: 0.012731 Loss_D_real: -0.013920 Loss_D_fake 0.004912
[1417/5000][130/535][146198] Loss_D: -0.018760 Loss_G: 0.014254 Loss_D_real: -0.019697 Loss_D_fake -0.000937
[1417/5000][135/535][146199] Loss_D: -0.019044 Loss_G: 0.015342 Loss_D_real: -0.026268 Loss_D_fake -0.007224
[1417/5000][140/535][146200] Loss_D: -0.019134 Loss_G: 0.014031 Loss_D_real: -0.027907 Loss_D_fake -0.008773
[1417/5000][145/535][146201] Loss_D: -0.019141 Loss_G: 0.008813 Loss_D_real: -0.023147 Loss_D_fake -0.004006
[1417/5000][150/535][146202] Loss_D: -0.019684 Loss_G: 0.000636 Loss_D_real: -0.002862 Loss_D_fake 0.016822
[1417/5000][155/535][146203] Loss_D: -0.019120 Loss_G: 0.014978 Loss_D_real: -0.027233 Loss_D_fake -0.008113
[1417/5000][160/535][146204] Loss_D: -0.019131 Loss_G: 0.006451 Loss_D_real: -0.012677 Loss_D_fake 0.006455
[1417/5000][165/535][146205] Loss_D: -0.019854 Loss_G: 0.010216 Loss_D_real: -0.026808 Loss_D_fake -0.006954
[1417/5000][170/535][146206] Loss_D: -0.020278 Loss_G: 0.003693 Loss_D_real: -0.009128 Loss_D_fake 0.011150
[1417/5000][175/535][146207] Loss_D: -0.021808 Loss_G: -0.007170 Loss_D_real: -0.007421 Loss_D_fake 0.014388
[1417/5000][180/535][146208] Loss_D: -0.021195 Loss_G: 0.012884 Loss_D_real: -0.012332 Loss_D_fake 0.008864
[1417/5000][185/535][146209] Loss_D: -0.022021 Loss_G: 0.014432 Loss_D_real: -0.020363 Loss_D_fake 0.001658
[1417/5000][190/535][146210] Loss_D: -0.020052 Loss_G: 0.014863 Loss_D_real: -0.030238 Loss_D_fake -0.010187
[1417/5000][195/535][146211] Loss_D: -0.019862 Loss_G: -0.009314 Loss_D_real: -0.008635 Loss_D_fake 0.011228
[1417/5000][200/535][146212] Loss_D: -0.019761 Loss_G: 0.014673 Loss_D_real: -0.031409 Loss_D_fake -0.011649
[1417/5000][205/535][146213] Loss_D: -0.020733 Loss_G: 0.017995 Loss_D_real: -0.026606 Loss_D_fake -0.005873
[1417/5000][210/535][146214] Loss_D: -0.021280 Loss_G: 0.009545 Loss_D_real: -0.005495 Loss_D_fake 0.015785
[1417/5000][215/535][146215] Loss_D: -0.020614 Loss_G: 0.003851 Loss_D_real: -0.014560 Loss_D_fake 0.006054
[1417/5000][220/535][146216] Loss_D: -0.019428 Loss_G: -0.006225 Loss_D_real: -0.004116 Loss_D_fake 0.015313
[1417/5000][225/535][146217] Loss_D: -0.020132 Loss_G: 0.004509 Loss_D_real: -0.005610 Loss_D_fake 0.014522
[1417/5000][230/535][146218] Loss_D: -0.018927 Loss_G: 0.015878 Loss_D_real: -0.030658 Loss_D_fake -0.011731
[1417/5000][235/535][146219] Loss_D: -0.020208 Loss_G: -0.004435 Loss_D_real: -0.008108 Loss_D_fake 0.012099
[1417/5000][240/535][146220] Loss_D: -0.019792 Loss_G: -0.003718 Loss_D_real: -0.001503 Loss_D_fake 0.018289
[1417/5000][245/535][146221] Loss_D: -0.019854 Loss_G: 0.025241 Loss_D_real: -0.025532 Loss_D_fake -0.005678
[1417/5000][250/535][146222] Loss_D: -0.019693 Loss_G: -0.000106 Loss_D_real: -0.015570 Loss_D_fake 0.004123
[1417/5000][255/535][146223] Loss_D: -0.021107 Loss_G: 0.000066 Loss_D_real: -0.026506 Loss_D_fake -0.005399
[1417/5000][260/535][146224] Loss_D: -0.020956 Loss_G: 0.009272 Loss_D_real: -0.021955 Loss_D_fake -0.000999
[1417/5000][265/535][146225] Loss_D: -0.019269 Loss_G: 0.020707 Loss_D_real: -0.023487 Loss_D_fake -0.004218
[1417/5000][270/535][146226] Loss_D: -0.018941 Loss_G: 0.016146 Loss_D_real: -0.017610 Loss_D_fake 0.001331
[1417/5000][275/535][146227] Loss_D: -0.019740 Loss_G: 0.008483 Loss_D_real: -0.007067 Loss_D_fake 0.012674
[1417/5000][280/535][146228] Loss_D: -0.018074 Loss_G: 0.023635 Loss_D_real: -0.040431 Loss_D_fake -0.022357
[1417/5000][285/535][146229] Loss_D: -0.020298 Loss_G: 0.014588 Loss_D_real: -0.030313 Loss_D_fake -0.010015
[1417/5000][290/535][146230] Loss_D: -0.020721 Loss_G: 0.001484 Loss_D_real: -0.009895 Loss_D_fake 0.010826
[1417/5000][295/535][146231] Loss_D: -0.017373 Loss_G: 0.012565 Loss_D_real: -0.020206 Loss_D_fake -0.002833
[1417/5000][300/535][146232] Loss_D: -0.020059 Loss_G: -0.003169 Loss_D_real: -0.004913 Loss_D_fake 0.015145
[1417/5000][305/535][146233] Loss_D: -0.019577 Loss_G: 0.001825 Loss_D_real: -0.016504 Loss_D_fake 0.003073
[1417/5000][310/535][146234] Loss_D: -0.019876 Loss_G: -0.000442 Loss_D_real: -0.014818 Loss_D_fake 0.005058
[1417/5000][315/535][146235] Loss_D: -0.018337 Loss_G: -0.029296 Loss_D_real: -0.004619 Loss_D_fake 0.013718
[1417/5000][320/535][146236] Loss_D: -0.019777 Loss_G: -0.006176 Loss_D_real: -0.003919 Loss_D_fake 0.015858
[1417/5000][325/535][146237] Loss_D: -0.018187 Loss_G: 0.014075 Loss_D_real: -0.026113 Loss_D_fake -0.007925
[1417/5000][330/535][146238] Loss_D: -0.020053 Loss_G: -0.013214 Loss_D_real: -0.012198 Loss_D_fake 0.007856
[1417/5000][335/535][146239] Loss_D: -0.021814 Loss_G: 0.026017 Loss_D_real: -0.010440 Loss_D_fake 0.011375
[1417/5000][340/535][146240] Loss_D: -0.019323 Loss_G: -0.005880 Loss_D_real: -0.021399 Loss_D_fake -0.002076
[1417/5000][345/535][146241] Loss_D: -0.019132 Loss_G: 0.020462 Loss_D_real: -0.025418 Loss_D_fake -0.006286
[1417/5000][350/535][146242] Loss_D: -0.019269 Loss_G: 0.022523 Loss_D_real: -0.023585 Loss_D_fake -0.004316
[1417/5000][355/535][146243] Loss_D: -0.020070 Loss_G: 0.012734 Loss_D_real: -0.003505 Loss_D_fake 0.016565
[1417/5000][360/535][146244] Loss_D: -0.019824 Loss_G: 0.023309 Loss_D_real: -0.018618 Loss_D_fake 0.001206
[1417/5000][365/535][146245] Loss_D: -0.019374 Loss_G: 0.012105 Loss_D_real: -0.021957 Loss_D_fake -0.002583
[1417/5000][370/535][146246] Loss_D: -0.019575 Loss_G: 0.003400 Loss_D_real: -0.012700 Loss_D_fake 0.006874
[1417/5000][375/535][146247] Loss_D: -0.020724 Loss_G: 0.001124 Loss_D_real: -0.018098 Loss_D_fake 0.002626
[1417/5000][380/535][146248] Loss_D: -0.018769 Loss_G: 0.022525 Loss_D_real: -0.028962 Loss_D_fake -0.010193
[1417/5000][385/535][146249] Loss_D: -0.021871 Loss_G: -0.006443 Loss_D_real: -0.023408 Loss_D_fake -0.001537
[1417/5000][390/535][146250] Loss_D: -0.021661 Loss_G: 0.001083 Loss_D_real: -0.002253 Loss_D_fake 0.019408
[1417/5000][395/535][146251] Loss_D: -0.020760 Loss_G: 0.003686 Loss_D_real: -0.009963 Loss_D_fake 0.010797
[1417/5000][400/535][146252] Loss_D: -0.020587 Loss_G: -0.005599 Loss_D_real: -0.004807 Loss_D_fake 0.015780
[1417/5000][405/535][146253] Loss_D: -0.020213 Loss_G: 0.020040 Loss_D_real: -0.021610 Loss_D_fake -0.001397
[1417/5000][410/535][146254] Loss_D: -0.021003 Loss_G: 0.005037 Loss_D_real: -0.005893 Loss_D_fake 0.015109
[1417/5000][415/535][146255] Loss_D: -0.020470 Loss_G: -0.001830 Loss_D_real: -0.020688 Loss_D_fake -0.000218
[1417/5000][420/535][146256] Loss_D: -0.019802 Loss_G: 0.024795 Loss_D_real: -0.015833 Loss_D_fake 0.003969
[1417/5000][425/535][146257] Loss_D: -0.018472 Loss_G: -0.003159 Loss_D_real: -0.004300 Loss_D_fake 0.014172
[1417/5000][430/535][146258] Loss_D: -0.021197 Loss_G: 0.026984 Loss_D_real: -0.024556 Loss_D_fake -0.003359
[1417/5000][435/535][146259] Loss_D: -0.018775 Loss_G: -0.001260 Loss_D_real: -0.000731 Loss_D_fake 0.018043
[1417/5000][440/535][146260] Loss_D: -0.018761 Loss_G: 0.030166 Loss_D_real: -0.027263 Loss_D_fake -0.008501
[1417/5000][445/535][146261] Loss_D: -0.021196 Loss_G: -0.004970 Loss_D_real: -0.014953 Loss_D_fake 0.006242
[1417/5000][450/535][146262] Loss_D: -0.019155 Loss_G: 0.019350 Loss_D_real: -0.030080 Loss_D_fake -0.010925
[1417/5000][455/535][146263] Loss_D: -0.021392 Loss_G: -0.005385 Loss_D_real: -0.028945 Loss_D_fake -0.007553
[1417/5000][460/535][146264] Loss_D: -0.020511 Loss_G: 0.013675 Loss_D_real: -0.023960 Loss_D_fake -0.003449
[1417/5000][465/535][146265] Loss_D: -0.021221 Loss_G: 0.001129 Loss_D_real: -0.016214 Loss_D_fake 0.005006
[1417/5000][470/535][146266] Loss_D: -0.020375 Loss_G: 0.016111 Loss_D_real: -0.032172 Loss_D_fake -0.011798
[1417/5000][475/535][146267] Loss_D: -0.021724 Loss_G: 0.016946 Loss_D_real: -0.020147 Loss_D_fake 0.001577
[1417/5000][480/535][146268] Loss_D: -0.020282 Loss_G: 0.003885 Loss_D_real: -0.015810 Loss_D_fake 0.004471
[1417/5000][485/535][146269] Loss_D: -0.020955 Loss_G: 0.012486 Loss_D_real: -0.018886 Loss_D_fake 0.002069
[1417/5000][490/535][146270] Loss_D: -0.019537 Loss_G: 0.021545 Loss_D_real: -0.011026 Loss_D_fake 0.008511
[1417/5000][495/535][146271] Loss_D: -0.019781 Loss_G: -0.002298 Loss_D_real: -0.013756 Loss_D_fake 0.006025
[1417/5000][500/535][146272] Loss_D: -0.019507 Loss_G: 0.019354 Loss_D_real: -0.021645 Loss_D_fake -0.002138
[1417/5000][505/535][146273] Loss_D: -0.019700 Loss_G: -0.010656 Loss_D_real: -0.010318 Loss_D_fake 0.009382
[1417/5000][510/535][146274] Loss_D: -0.017588 Loss_G: 0.025666 Loss_D_real: -0.030869 Loss_D_fake -0.013281
[1417/5000][515/535][146275] Loss_D: -0.020391 Loss_G: 0.002427 Loss_D_real: -0.009189 Loss_D_fake 0.011201
[1417/5000][520/535][146276] Loss_D: -0.017372 Loss_G: -0.005119 Loss_D_real: 0.003620 Loss_D_fake 0.020992
[1417/5000][525/535][146277] Loss_D: -0.020372 Loss_G: 0.011433 Loss_D_real: -0.024542 Loss_D_fake -0.004169
[1417/5000][530/535][146278] Loss_D: -0.020340 Loss_G: 0.014617 Loss_D_real: -0.028263 Loss_D_fake -0.007922
[1417/5000][535/535][146279] Loss_D: -0.015160 Loss_G: 0.032543 Loss_D_real: -0.029716 Loss_D_fake -0.014557
[1418/5000][5/535][146280] Loss_D: -0.017306 Loss_G: 0.029236 Loss_D_real: -0.033912 Loss_D_fake -0.016606
[1418/5000][10/535][146281] Loss_D: -0.019581 Loss_G: 0.020346 Loss_D_real: -0.023808 Loss_D_fake -0.004226
[1418/5000][15/535][146282] Loss_D: -0.020994 Loss_G: 0.007278 Loss_D_real: -0.001937 Loss_D_fake 0.019057
[1418/5000][20/535][146283] Loss_D: -0.020332 Loss_G: 0.000874 Loss_D_real: -0.012795 Loss_D_fake 0.007537
[1418/5000][25/535][146284] Loss_D: -0.019290 Loss_G: 0.013990 Loss_D_real: -0.026693 Loss_D_fake -0.007403
[1418/5000][30/535][146285] Loss_D: -0.020028 Loss_G: -0.018959 Loss_D_real: 0.005742 Loss_D_fake 0.025770
[1418/5000][35/535][146286] Loss_D: -0.018635 Loss_G: 0.010173 Loss_D_real: -0.018921 Loss_D_fake -0.000286
[1418/5000][40/535][146287] Loss_D: -0.019349 Loss_G: -0.006900 Loss_D_real: 0.004282 Loss_D_fake 0.023631
[1418/5000][45/535][146288] Loss_D: -0.016334 Loss_G: 0.015184 Loss_D_real: -0.034114 Loss_D_fake -0.017779
[1418/5000][50/535][146289] Loss_D: -0.018418 Loss_G: 0.023197 Loss_D_real: -0.030908 Loss_D_fake -0.012490
[1418/5000][55/535][146290] Loss_D: -0.020756 Loss_G: 0.011848 Loss_D_real: -0.015043 Loss_D_fake 0.005713
[1418/5000][60/535][146291] Loss_D: -0.020103 Loss_G: 0.007842 Loss_D_real: -0.024807 Loss_D_fake -0.004705
[1418/5000][65/535][146292] Loss_D: -0.019925 Loss_G: -0.010174 Loss_D_real: 0.003325 Loss_D_fake 0.023250
[1418/5000][70/535][146293] Loss_D: -0.019565 Loss_G: -0.008121 Loss_D_real: -0.011159 Loss_D_fake 0.008407
[1418/5000][75/535][146294] Loss_D: -0.018879 Loss_G: -0.012064 Loss_D_real: -0.004209 Loss_D_fake 0.014669
[1418/5000][80/535][146295] Loss_D: -0.019980 Loss_G: 0.010724 Loss_D_real: -0.013009 Loss_D_fake 0.006971
[1418/5000][85/535][146296] Loss_D: -0.020679 Loss_G: -0.002876 Loss_D_real: -0.001153 Loss_D_fake 0.019527
[1418/5000][90/535][146297] Loss_D: -0.021081 Loss_G: -0.003960 Loss_D_real: -0.003225 Loss_D_fake 0.017856
[1418/5000][95/535][146298] Loss_D: -0.019659 Loss_G: -0.003402 Loss_D_real: 0.003807 Loss_D_fake 0.023466
[1418/5000][100/535][146299] Loss_D: -0.019501 Loss_G: 0.019659 Loss_D_real: -0.024631 Loss_D_fake -0.005130
[1418/5000][105/535][146300] Loss_D: -0.020977 Loss_G: 0.001507 Loss_D_real: -0.008104 Loss_D_fake 0.012873
[1418/5000][110/535][146301] Loss_D: -0.020075 Loss_G: 0.019142 Loss_D_real: -0.021729 Loss_D_fake -0.001654
[1418/5000][115/535][146302] Loss_D: -0.020709 Loss_G: 0.001130 Loss_D_real: -0.013573 Loss_D_fake 0.007137
[1418/5000][120/535][146303] Loss_D: -0.018984 Loss_G: 0.014992 Loss_D_real: -0.017043 Loss_D_fake 0.001941
[1418/5000][125/535][146304] Loss_D: -0.020572 Loss_G: 0.004630 Loss_D_real: -0.026718 Loss_D_fake -0.006145
[1418/5000][130/535][146305] Loss_D: -0.019650 Loss_G: 0.006352 Loss_D_real: -0.008331 Loss_D_fake 0.011319
[1418/5000][135/535][146306] Loss_D: -0.018862 Loss_G: 0.024889 Loss_D_real: -0.016679 Loss_D_fake 0.002183
[1418/5000][140/535][146307] Loss_D: -0.018883 Loss_G: -0.000553 Loss_D_real: -0.012660 Loss_D_fake 0.006223
[1418/5000][145/535][146308] Loss_D: -0.018944 Loss_G: -0.003525 Loss_D_real: 0.001322 Loss_D_fake 0.020267
[1418/5000][150/535][146309] Loss_D: -0.019695 Loss_G: 0.016639 Loss_D_real: -0.022787 Loss_D_fake -0.003092
[1418/5000][155/535][146310] Loss_D: -0.019832 Loss_G: 0.002091 Loss_D_real: -0.009286 Loss_D_fake 0.010547
[1418/5000][160/535][146311] Loss_D: -0.019536 Loss_G: 0.003258 Loss_D_real: -0.020579 Loss_D_fake -0.001044
[1418/5000][165/535][146312] Loss_D: -0.020479 Loss_G: 0.012897 Loss_D_real: -0.018597 Loss_D_fake 0.001882
[1418/5000][170/535][146313] Loss_D: -0.019697 Loss_G: 0.030065 Loss_D_real: -0.029290 Loss_D_fake -0.009592
[1418/5000][175/535][146314] Loss_D: -0.020197 Loss_G: 0.017569 Loss_D_real: -0.020996 Loss_D_fake -0.000799
[1418/5000][180/535][146315] Loss_D: -0.017501 Loss_G: 0.022415 Loss_D_real: -0.034985 Loss_D_fake -0.017485
[1418/5000][185/535][146316] Loss_D: -0.020573 Loss_G: -0.001161 Loss_D_real: -0.029668 Loss_D_fake -0.009095
[1418/5000][190/535][146317] Loss_D: -0.020643 Loss_G: -0.015678 Loss_D_real: -0.008155 Loss_D_fake 0.012488
[1418/5000][195/535][146318] Loss_D: -0.020179 Loss_G: 0.004397 Loss_D_real: -0.017028 Loss_D_fake 0.003151
[1418/5000][200/535][146319] Loss_D: -0.019342 Loss_G: -0.007925 Loss_D_real: 0.004993 Loss_D_fake 0.024335
[1418/5000][205/535][146320] Loss_D: -0.021278 Loss_G: 0.007257 Loss_D_real: -0.002421 Loss_D_fake 0.018858
[1418/5000][210/535][146321] Loss_D: -0.019955 Loss_G: -0.004400 Loss_D_real: -0.010647 Loss_D_fake 0.009308
[1418/5000][215/535][146322] Loss_D: -0.022069 Loss_G: 0.031597 Loss_D_real: -0.028682 Loss_D_fake -0.006613
[1418/5000][220/535][146323] Loss_D: -0.020418 Loss_G: 0.030736 Loss_D_real: -0.032417 Loss_D_fake -0.011999
[1418/5000][225/535][146324] Loss_D: -0.019527 Loss_G: 0.019510 Loss_D_real: -0.039322 Loss_D_fake -0.019795
[1418/5000][230/535][146325] Loss_D: -0.020638 Loss_G: 0.008125 Loss_D_real: -0.015712 Loss_D_fake 0.004926
[1418/5000][235/535][146326] Loss_D: -0.021176 Loss_G: -0.003197 Loss_D_real: -0.016493 Loss_D_fake 0.004683
[1418/5000][240/535][146327] Loss_D: -0.019618 Loss_G: 0.025182 Loss_D_real: -0.030140 Loss_D_fake -0.010522
[1418/5000][245/535][146328] Loss_D: -0.018921 Loss_G: 0.031422 Loss_D_real: -0.032060 Loss_D_fake -0.013139
[1418/5000][250/535][146329] Loss_D: -0.021328 Loss_G: 0.007625 Loss_D_real: -0.022686 Loss_D_fake -0.001358
[1418/5000][255/535][146330] Loss_D: -0.020324 Loss_G: 0.020591 Loss_D_real: -0.026139 Loss_D_fake -0.005815
[1418/5000][260/535][146331] Loss_D: -0.019706 Loss_G: 0.021008 Loss_D_real: -0.024839 Loss_D_fake -0.005133
[1418/5000][265/535][146332] Loss_D: -0.019528 Loss_G: 0.006611 Loss_D_real: -0.018116 Loss_D_fake 0.001412
[1418/5000][270/535][146333] Loss_D: -0.021007 Loss_G: 0.021477 Loss_D_real: -0.018754 Loss_D_fake 0.002253
[1418/5000][275/535][146334] Loss_D: -0.021017 Loss_G: 0.001978 Loss_D_real: -0.017172 Loss_D_fake 0.003845
[1418/5000][280/535][146335] Loss_D: -0.020244 Loss_G: -0.009199 Loss_D_real: -0.004497 Loss_D_fake 0.015746
[1418/5000][285/535][146336] Loss_D: -0.020099 Loss_G: -0.001420 Loss_D_real: -0.015550 Loss_D_fake 0.004549
[1418/5000][290/535][146337] Loss_D: -0.019174 Loss_G: 0.016977 Loss_D_real: -0.027857 Loss_D_fake -0.008683
[1418/5000][295/535][146338] Loss_D: -0.019953 Loss_G: 0.003375 Loss_D_real: -0.006992 Loss_D_fake 0.012961
[1418/5000][300/535][146339] Loss_D: -0.021819 Loss_G: 0.014715 Loss_D_real: -0.017902 Loss_D_fake 0.003917
[1418/5000][305/535][146340] Loss_D: -0.019864 Loss_G: 0.004243 Loss_D_real: -0.012189 Loss_D_fake 0.007675
[1418/5000][310/535][146341] Loss_D: -0.020196 Loss_G: -0.007555 Loss_D_real: -0.009489 Loss_D_fake 0.010707
[1418/5000][315/535][146342] Loss_D: -0.019959 Loss_G: -0.001785 Loss_D_real: -0.010065 Loss_D_fake 0.009893
[1418/5000][320/535][146343] Loss_D: -0.019287 Loss_G: 0.012672 Loss_D_real: -0.026913 Loss_D_fake -0.007625
[1418/5000][325/535][146344] Loss_D: -0.018376 Loss_G: 0.019317 Loss_D_real: -0.017888 Loss_D_fake 0.000488
[1418/5000][330/535][146345] Loss_D: -0.019914 Loss_G: 0.006618 Loss_D_real: -0.025459 Loss_D_fake -0.005545
[1418/5000][335/535][146346] Loss_D: -0.018069 Loss_G: 0.037911 Loss_D_real: -0.036094 Loss_D_fake -0.018025
[1418/5000][340/535][146347] Loss_D: -0.019034 Loss_G: 0.008481 Loss_D_real: -0.015965 Loss_D_fake 0.003069
[1418/5000][345/535][146348] Loss_D: -0.019981 Loss_G: 0.002424 Loss_D_real: -0.001459 Loss_D_fake 0.018522
[1418/5000][350/535][146349] Loss_D: -0.020186 Loss_G: 0.024386 Loss_D_real: -0.030658 Loss_D_fake -0.010472
[1418/5000][355/535][146350] Loss_D: -0.020330 Loss_G: -0.004061 Loss_D_real: -0.011548 Loss_D_fake 0.008782
[1418/5000][360/535][146351] Loss_D: -0.020639 Loss_G: 0.010078 Loss_D_real: -0.021954 Loss_D_fake -0.001315
[1418/5000][365/535][146352] Loss_D: -0.019716 Loss_G: 0.030458 Loss_D_real: -0.025168 Loss_D_fake -0.005452
[1418/5000][370/535][146353] Loss_D: -0.019652 Loss_G: -0.008536 Loss_D_real: -0.021253 Loss_D_fake -0.001601
[1418/5000][375/535][146354] Loss_D: -0.020150 Loss_G: 0.008955 Loss_D_real: -0.031560 Loss_D_fake -0.011410
[1418/5000][380/535][146355] Loss_D: -0.020062 Loss_G: 0.014955 Loss_D_real: -0.032543 Loss_D_fake -0.012481
[1418/5000][385/535][146356] Loss_D: -0.021874 Loss_G: -0.006456 Loss_D_real: -0.004568 Loss_D_fake 0.017306
[1418/5000][390/535][146357] Loss_D: -0.020235 Loss_G: 0.006985 Loss_D_real: -0.012282 Loss_D_fake 0.007953
[1418/5000][395/535][146358] Loss_D: -0.019577 Loss_G: 0.012544 Loss_D_real: -0.021158 Loss_D_fake -0.001581
[1418/5000][400/535][146359] Loss_D: -0.018128 Loss_G: 0.012129 Loss_D_real: -0.023327 Loss_D_fake -0.005199
[1418/5000][405/535][146360] Loss_D: -0.018498 Loss_G: 0.010121 Loss_D_real: -0.023042 Loss_D_fake -0.004544
[1418/5000][410/535][146361] Loss_D: -0.019602 Loss_G: 0.019390 Loss_D_real: -0.010164 Loss_D_fake 0.009438
[1418/5000][415/535][146362] Loss_D: -0.018894 Loss_G: 0.008810 Loss_D_real: -0.024969 Loss_D_fake -0.006075
[1418/5000][420/535][146363] Loss_D: -0.020218 Loss_G: 0.002459 Loss_D_real: -0.023100 Loss_D_fake -0.002882
[1418/5000][425/535][146364] Loss_D: -0.017869 Loss_G: 0.023272 Loss_D_real: -0.041635 Loss_D_fake -0.023766
[1418/5000][430/535][146365] Loss_D: -0.019245 Loss_G: 0.008133 Loss_D_real: -0.020365 Loss_D_fake -0.001120
[1418/5000][435/535][146366] Loss_D: -0.019849 Loss_G: 0.029323 Loss_D_real: -0.028709 Loss_D_fake -0.008860
[1418/5000][440/535][146367] Loss_D: -0.019831 Loss_G: 0.004390 Loss_D_real: -0.019649 Loss_D_fake 0.000182
[1418/5000][445/535][146368] Loss_D: -0.018174 Loss_G: 0.018938 Loss_D_real: -0.024574 Loss_D_fake -0.006400
[1418/5000][450/535][146369] Loss_D: -0.020588 Loss_G: 0.001453 Loss_D_real: -0.024497 Loss_D_fake -0.003909
[1418/5000][455/535][146370] Loss_D: -0.022181 Loss_G: 0.007336 Loss_D_real: -0.013485 Loss_D_fake 0.008696
[1418/5000][460/535][146371] Loss_D: -0.018355 Loss_G: 0.005576 Loss_D_real: -0.000581 Loss_D_fake 0.017775
[1418/5000][465/535][146372] Loss_D: -0.020990 Loss_G: 0.013047 Loss_D_real: -0.023170 Loss_D_fake -0.002181
[1418/5000][470/535][146373] Loss_D: -0.020926 Loss_G: 0.025371 Loss_D_real: -0.012107 Loss_D_fake 0.008819
[1418/5000][475/535][146374] Loss_D: -0.020048 Loss_G: -0.002512 Loss_D_real: -0.012661 Loss_D_fake 0.007386
[1418/5000][480/535][146375] Loss_D: -0.020528 Loss_G: -0.005563 Loss_D_real: -0.006967 Loss_D_fake 0.013561
[1418/5000][485/535][146376] Loss_D: -0.019503 Loss_G: 0.013953 Loss_D_real: -0.032843 Loss_D_fake -0.013340
[1418/5000][490/535][146377] Loss_D: -0.021224 Loss_G: 0.013357 Loss_D_real: -0.006968 Loss_D_fake 0.014256
[1418/5000][495/535][146378] Loss_D: -0.018776 Loss_G: 0.030957 Loss_D_real: -0.025711 Loss_D_fake -0.006935
[1418/5000][500/535][146379] Loss_D: -0.020549 Loss_G: -0.010829 Loss_D_real: -0.010762 Loss_D_fake 0.009787
[1418/5000][505/535][146380] Loss_D: -0.018661 Loss_G: 0.003506 Loss_D_real: -0.008500 Loss_D_fake 0.010161
[1418/5000][510/535][146381] Loss_D: -0.020046 Loss_G: 0.016550 Loss_D_real: -0.014738 Loss_D_fake 0.005307
[1418/5000][515/535][146382] Loss_D: -0.019666 Loss_G: -0.001198 Loss_D_real: 0.000093 Loss_D_fake 0.019759
[1418/5000][520/535][146383] Loss_D: -0.019273 Loss_G: 0.012196 Loss_D_real: -0.025407 Loss_D_fake -0.006134
[1418/5000][525/535][146384] Loss_D: -0.019970 Loss_G: -0.005445 Loss_D_real: -0.009909 Loss_D_fake 0.010061
[1418/5000][530/535][146385] Loss_D: -0.018973 Loss_G: 0.001103 Loss_D_real: -0.017461 Loss_D_fake 0.001512
[1418/5000][535/535][146386] Loss_D: -0.020684 Loss_G: -0.015077 Loss_D_real: -0.025249 Loss_D_fake -0.004565
[1419/5000][5/535][146387] Loss_D: -0.020262 Loss_G: -0.000468 Loss_D_real: -0.014530 Loss_D_fake 0.005731
[1419/5000][10/535][146388] Loss_D: -0.021202 Loss_G: 0.011132 Loss_D_real: -0.017872 Loss_D_fake 0.003330
[1419/5000][15/535][146389] Loss_D: -0.020220 Loss_G: 0.023308 Loss_D_real: -0.025705 Loss_D_fake -0.005485
[1419/5000][20/535][146390] Loss_D: -0.021142 Loss_G: 0.020068 Loss_D_real: -0.007498 Loss_D_fake 0.013644
[1419/5000][25/535][146391] Loss_D: -0.019861 Loss_G: -0.006856 Loss_D_real: -0.009994 Loss_D_fake 0.009867
[1419/5000][30/535][146392] Loss_D: -0.019567 Loss_G: 0.019228 Loss_D_real: -0.020252 Loss_D_fake -0.000685
[1419/5000][35/535][146393] Loss_D: -0.019189 Loss_G: 0.022642 Loss_D_real: -0.033504 Loss_D_fake -0.014315
[1419/5000][40/535][146394] Loss_D: -0.020346 Loss_G: -0.001900 Loss_D_real: -0.007509 Loss_D_fake 0.012836
[1419/5000][45/535][146395] Loss_D: -0.018477 Loss_G: 0.016075 Loss_D_real: -0.022078 Loss_D_fake -0.003600
[1419/5000][50/535][146396] Loss_D: -0.019486 Loss_G: -0.005499 Loss_D_real: -0.010702 Loss_D_fake 0.008784
[1419/5000][55/535][146397] Loss_D: -0.019461 Loss_G: 0.009908 Loss_D_real: -0.032342 Loss_D_fake -0.012880
[1419/5000][60/535][146398] Loss_D: -0.019076 Loss_G: 0.001797 Loss_D_real: -0.016111 Loss_D_fake 0.002965
[1419/5000][65/535][146399] Loss_D: -0.019349 Loss_G: -0.003900 Loss_D_real: -0.014824 Loss_D_fake 0.004525
[1419/5000][70/535][146400] Loss_D: -0.019798 Loss_G: 0.006530 Loss_D_real: -0.013174 Loss_D_fake 0.006624
[1419/5000][75/535][146401] Loss_D: -0.021081 Loss_G: -0.004511 Loss_D_real: 0.000256 Loss_D_fake 0.021338
[1419/5000][80/535][146402] Loss_D: -0.019043 Loss_G: 0.006417 Loss_D_real: -0.025948 Loss_D_fake -0.006905
[1419/5000][85/535][146403] Loss_D: -0.021585 Loss_G: 0.009366 Loss_D_real: -0.011387 Loss_D_fake 0.010198
[1419/5000][90/535][146404] Loss_D: -0.022410 Loss_G: -0.005754 Loss_D_real: -0.018171 Loss_D_fake 0.004239
[1419/5000][95/535][146405] Loss_D: -0.019476 Loss_G: 0.030096 Loss_D_real: -0.026029 Loss_D_fake -0.006552
[1419/5000][100/535][146406] Loss_D: -0.019871 Loss_G: 0.009348 Loss_D_real: -0.025289 Loss_D_fake -0.005418
[1419/5000][105/535][146407] Loss_D: -0.019579 Loss_G: 0.011763 Loss_D_real: -0.016154 Loss_D_fake 0.003425
[1419/5000][110/535][146408] Loss_D: -0.020668 Loss_G: 0.016580 Loss_D_real: -0.018173 Loss_D_fake 0.002494
[1419/5000][115/535][146409] Loss_D: -0.020184 Loss_G: 0.000349 Loss_D_real: -0.026943 Loss_D_fake -0.006760
[1419/5000][120/535][146410] Loss_D: -0.020961 Loss_G: 0.005343 Loss_D_real: -0.021724 Loss_D_fake -0.000763
[1419/5000][125/535][146411] Loss_D: -0.020990 Loss_G: 0.014517 Loss_D_real: -0.010838 Loss_D_fake 0.010151
[1419/5000][130/535][146412] Loss_D: -0.022378 Loss_G: -0.002392 Loss_D_real: -0.014494 Loss_D_fake 0.007884
[1419/5000][135/535][146413] Loss_D: -0.017950 Loss_G: -0.021987 Loss_D_real: 0.013007 Loss_D_fake 0.030957
[1419/5000][140/535][146414] Loss_D: -0.020761 Loss_G: 0.003892 Loss_D_real: -0.024334 Loss_D_fake -0.003573
[1419/5000][145/535][146415] Loss_D: -0.020402 Loss_G: 0.005714 Loss_D_real: -0.028057 Loss_D_fake -0.007655
[1419/5000][150/535][146416] Loss_D: -0.020137 Loss_G: -0.014872 Loss_D_real: -0.013099 Loss_D_fake 0.007038
[1419/5000][155/535][146417] Loss_D: -0.020294 Loss_G: 0.006076 Loss_D_real: -0.019537 Loss_D_fake 0.000756
[1419/5000][160/535][146418] Loss_D: -0.020772 Loss_G: 0.008651 Loss_D_real: -0.014551 Loss_D_fake 0.006221
[1419/5000][165/535][146419] Loss_D: -0.018471 Loss_G: -0.006325 Loss_D_real: -0.007103 Loss_D_fake 0.011368
[1419/5000][170/535][146420] Loss_D: -0.020141 Loss_G: 0.010673 Loss_D_real: -0.010441 Loss_D_fake 0.009700
[1419/5000][175/535][146421] Loss_D: -0.021074 Loss_G: 0.003024 Loss_D_real: -0.011477 Loss_D_fake 0.009597
[1419/5000][180/535][146422] Loss_D: -0.021358 Loss_G: 0.015361 Loss_D_real: -0.011892 Loss_D_fake 0.009465
[1419/5000][185/535][146423] Loss_D: -0.020311 Loss_G: -0.010136 Loss_D_real: 0.002926 Loss_D_fake 0.023236
[1419/5000][190/535][146424] Loss_D: -0.020733 Loss_G: 0.008898 Loss_D_real: -0.018922 Loss_D_fake 0.001811
[1419/5000][195/535][146425] Loss_D: -0.020752 Loss_G: 0.004534 Loss_D_real: -0.015299 Loss_D_fake 0.005453
[1419/5000][200/535][146426] Loss_D: -0.019625 Loss_G: 0.014652 Loss_D_real: -0.028360 Loss_D_fake -0.008735
[1419/5000][205/535][146427] Loss_D: -0.018710 Loss_G: 0.006479 Loss_D_real: -0.020603 Loss_D_fake -0.001893
[1419/5000][210/535][146428] Loss_D: -0.020491 Loss_G: -0.003839 Loss_D_real: -0.023718 Loss_D_fake -0.003228
[1419/5000][215/535][146429] Loss_D: -0.019617 Loss_G: 0.004044 Loss_D_real: -0.019409 Loss_D_fake 0.000209
[1419/5000][220/535][146430] Loss_D: -0.020678 Loss_G: 0.024627 Loss_D_real: -0.025303 Loss_D_fake -0.004625
[1419/5000][225/535][146431] Loss_D: -0.019643 Loss_G: -0.003732 Loss_D_real: -0.003681 Loss_D_fake 0.015962
[1419/5000][230/535][146432] Loss_D: -0.016510 Loss_G: -0.010233 Loss_D_real: -0.006643 Loss_D_fake 0.009866
[1419/5000][235/535][146433] Loss_D: -0.019164 Loss_G: -0.005002 Loss_D_real: -0.028948 Loss_D_fake -0.009785
[1419/5000][240/535][146434] Loss_D: -0.020847 Loss_G: 0.015258 Loss_D_real: -0.022618 Loss_D_fake -0.001770
[1419/5000][245/535][146435] Loss_D: -0.020409 Loss_G: 0.026133 Loss_D_real: -0.016100 Loss_D_fake 0.004309
[1419/5000][250/535][146436] Loss_D: -0.019657 Loss_G: -0.010099 Loss_D_real: -0.012015 Loss_D_fake 0.007642
[1419/5000][255/535][146437] Loss_D: -0.019748 Loss_G: -0.001814 Loss_D_real: -0.004729 Loss_D_fake 0.015019
[1419/5000][260/535][146438] Loss_D: -0.021052 Loss_G: 0.007866 Loss_D_real: -0.014229 Loss_D_fake 0.006824
[1419/5000][265/535][146439] Loss_D: -0.019325 Loss_G: 0.001030 Loss_D_real: -0.010885 Loss_D_fake 0.008440
[1419/5000][270/535][146440] Loss_D: -0.019666 Loss_G: -0.006679 Loss_D_real: -0.007071 Loss_D_fake 0.012596
[1419/5000][275/535][146441] Loss_D: -0.020221 Loss_G: -0.002902 Loss_D_real: -0.002076 Loss_D_fake 0.018145
[1419/5000][280/535][146442] Loss_D: -0.019326 Loss_G: 0.025293 Loss_D_real: -0.032385 Loss_D_fake -0.013059
[1419/5000][285/535][146443] Loss_D: -0.019840 Loss_G: 0.000043 Loss_D_real: -0.020995 Loss_D_fake -0.001155
[1419/5000][290/535][146444] Loss_D: -0.017656 Loss_G: -0.022512 Loss_D_real: 0.003149 Loss_D_fake 0.020805
[1419/5000][295/535][146445] Loss_D: -0.018501 Loss_G: 0.019489 Loss_D_real: -0.018975 Loss_D_fake -0.000474
[1419/5000][300/535][146446] Loss_D: -0.019918 Loss_G: -0.007281 Loss_D_real: -0.018545 Loss_D_fake 0.001372
[1419/5000][305/535][146447] Loss_D: -0.020607 Loss_G: 0.025245 Loss_D_real: -0.030367 Loss_D_fake -0.009760
[1419/5000][310/535][146448] Loss_D: -0.019152 Loss_G: 0.017927 Loss_D_real: -0.016704 Loss_D_fake 0.002447
[1419/5000][315/535][146449] Loss_D: -0.019562 Loss_G: 0.004688 Loss_D_real: -0.018076 Loss_D_fake 0.001486
[1419/5000][320/535][146450] Loss_D: -0.019991 Loss_G: 0.009626 Loss_D_real: -0.012440 Loss_D_fake 0.007552
[1419/5000][325/535][146451] Loss_D: -0.020711 Loss_G: -0.008513 Loss_D_real: -0.015859 Loss_D_fake 0.004852
[1419/5000][330/535][146452] Loss_D: -0.020435 Loss_G: 0.021185 Loss_D_real: -0.017893 Loss_D_fake 0.002542
[1419/5000][335/535][146453] Loss_D: -0.019660 Loss_G: 0.000455 Loss_D_real: -0.012869 Loss_D_fake 0.006791
[1419/5000][340/535][146454] Loss_D: -0.019495 Loss_G: 0.004897 Loss_D_real: -0.014756 Loss_D_fake 0.004739
[1419/5000][345/535][146455] Loss_D: -0.019702 Loss_G: 0.017649 Loss_D_real: -0.029934 Loss_D_fake -0.010232
[1419/5000][350/535][146456] Loss_D: -0.019231 Loss_G: 0.004943 Loss_D_real: -0.021938 Loss_D_fake -0.002707
[1419/5000][355/535][146457] Loss_D: -0.019921 Loss_G: 0.022425 Loss_D_real: -0.026373 Loss_D_fake -0.006452
[1419/5000][360/535][146458] Loss_D: -0.021826 Loss_G: -0.000284 Loss_D_real: 0.000562 Loss_D_fake 0.022388
[1419/5000][365/535][146459] Loss_D: -0.019779 Loss_G: 0.004199 Loss_D_real: -0.016667 Loss_D_fake 0.003112
[1419/5000][370/535][146460] Loss_D: -0.020022 Loss_G: -0.002252 Loss_D_real: -0.019319 Loss_D_fake 0.000703
[1419/5000][375/535][146461] Loss_D: -0.019976 Loss_G: -0.005848 Loss_D_real: -0.006442 Loss_D_fake 0.013534
[1419/5000][380/535][146462] Loss_D: -0.018643 Loss_G: -0.011176 Loss_D_real: -0.007578 Loss_D_fake 0.011065
[1419/5000][385/535][146463] Loss_D: -0.019174 Loss_G: -0.014031 Loss_D_real: 0.007165 Loss_D_fake 0.026339
[1419/5000][390/535][146464] Loss_D: -0.019379 Loss_G: 0.004374 Loss_D_real: -0.016033 Loss_D_fake 0.003345
[1419/5000][395/535][146465] Loss_D: -0.017384 Loss_G: 0.030531 Loss_D_real: -0.022616 Loss_D_fake -0.005232
[1419/5000][400/535][146466] Loss_D: -0.019290 Loss_G: 0.003002 Loss_D_real: -0.005856 Loss_D_fake 0.013434
[1419/5000][405/535][146467] Loss_D: -0.019502 Loss_G: 0.002912 Loss_D_real: -0.020139 Loss_D_fake -0.000637
[1419/5000][410/535][146468] Loss_D: -0.019389 Loss_G: 0.000869 Loss_D_real: -0.000925 Loss_D_fake 0.018464
[1419/5000][415/535][146469] Loss_D: -0.020108 Loss_G: 0.032233 Loss_D_real: -0.023672 Loss_D_fake -0.003564
[1419/5000][420/535][146470] Loss_D: -0.019500 Loss_G: 0.008352 Loss_D_real: -0.022636 Loss_D_fake -0.003136
[1419/5000][425/535][146471] Loss_D: -0.020434 Loss_G: 0.031778 Loss_D_real: -0.039742 Loss_D_fake -0.019309
[1419/5000][430/535][146472] Loss_D: -0.019630 Loss_G: -0.001110 Loss_D_real: -0.019930 Loss_D_fake -0.000300
[1419/5000][435/535][146473] Loss_D: -0.020961 Loss_G: 0.015856 Loss_D_real: -0.029836 Loss_D_fake -0.008876
[1419/5000][440/535][146474] Loss_D: -0.019511 Loss_G: 0.014144 Loss_D_real: -0.017452 Loss_D_fake 0.002059
[1419/5000][445/535][146475] Loss_D: -0.019639 Loss_G: 0.008050 Loss_D_real: -0.016130 Loss_D_fake 0.003509
[1419/5000][450/535][146476] Loss_D: -0.020078 Loss_G: -0.003741 Loss_D_real: -0.021553 Loss_D_fake -0.001475
[1419/5000][455/535][146477] Loss_D: -0.020389 Loss_G: -0.002478 Loss_D_real: -0.015119 Loss_D_fake 0.005270
[1419/5000][460/535][146478] Loss_D: -0.021767 Loss_G: 0.010388 Loss_D_real: -0.013572 Loss_D_fake 0.008195
[1419/5000][465/535][146479] Loss_D: -0.020186 Loss_G: 0.024967 Loss_D_real: -0.026694 Loss_D_fake -0.006508
[1419/5000][470/535][146480] Loss_D: -0.019068 Loss_G: 0.025916 Loss_D_real: -0.023780 Loss_D_fake -0.004712
[1419/5000][475/535][146481] Loss_D: -0.018793 Loss_G: -0.013506 Loss_D_real: -0.005993 Loss_D_fake 0.012799
[1419/5000][480/535][146482] Loss_D: -0.019854 Loss_G: 0.030917 Loss_D_real: -0.022707 Loss_D_fake -0.002854
[1419/5000][485/535][146483] Loss_D: -0.021230 Loss_G: -0.002383 Loss_D_real: -0.014250 Loss_D_fake 0.006980
[1419/5000][490/535][146484] Loss_D: -0.019535 Loss_G: 0.006524 Loss_D_real: -0.028470 Loss_D_fake -0.008935
[1419/5000][495/535][146485] Loss_D: -0.017627 Loss_G: -0.018906 Loss_D_real: 0.005155 Loss_D_fake 0.022782
[1419/5000][500/535][146486] Loss_D: -0.019549 Loss_G: 0.010639 Loss_D_real: -0.020460 Loss_D_fake -0.000911
[1419/5000][505/535][146487] Loss_D: -0.020636 Loss_G: 0.019181 Loss_D_real: -0.018147 Loss_D_fake 0.002489
[1419/5000][510/535][146488] Loss_D: -0.020603 Loss_G: 0.007144 Loss_D_real: -0.026146 Loss_D_fake -0.005543
[1419/5000][515/535][146489] Loss_D: -0.019727 Loss_G: -0.016021 Loss_D_real: 0.000289 Loss_D_fake 0.020016
[1419/5000][520/535][146490] Loss_D: -0.019211 Loss_G: -0.003906 Loss_D_real: -0.016736 Loss_D_fake 0.002475
[1419/5000][525/535][146491] Loss_D: -0.020089 Loss_G: -0.012704 Loss_D_real: -0.018922 Loss_D_fake 0.001167
[1419/5000][530/535][146492] Loss_D: -0.020422 Loss_G: 0.027136 Loss_D_real: -0.017432 Loss_D_fake 0.002990
[1419/5000][535/535][146493] Loss_D: -0.017193 Loss_G: -0.025858 Loss_D_real: 0.002833 Loss_D_fake 0.020026
[1420/5000][5/535][146494] Loss_D: -0.019926 Loss_G: 0.006432 Loss_D_real: -0.007061 Loss_D_fake 0.012864
[1420/5000][10/535][146495] Loss_D: -0.020025 Loss_G: 0.019071 Loss_D_real: -0.017939 Loss_D_fake 0.002086
[1420/5000][15/535][146496] Loss_D: -0.020384 Loss_G: -0.009932 Loss_D_real: -0.011279 Loss_D_fake 0.009105
[1420/5000][20/535][146497] Loss_D: -0.020505 Loss_G: 0.004905 Loss_D_real: -0.007092 Loss_D_fake 0.013413
[1420/5000][25/535][146498] Loss_D: -0.020226 Loss_G: -0.001886 Loss_D_real: -0.007612 Loss_D_fake 0.012613
[1420/5000][30/535][146499] Loss_D: -0.018852 Loss_G: 0.012738 Loss_D_real: -0.022236 Loss_D_fake -0.003385
[1420/5000][35/535][146500] Loss_D: -0.022310 Loss_G: -0.002701 Loss_D_real: -0.005430 Loss_D_fake 0.016880
[1420/5000][135/535][146501] Loss_D: -0.022549 Loss_G: -0.005701 Loss_D_real: -0.007564 Loss_D_fake 0.014984
[1420/5000][140/535][146502] Loss_D: -0.022341 Loss_G: 0.012197 Loss_D_real: -0.018742 Loss_D_fake 0.003599
[1420/5000][145/535][146503] Loss_D: -0.017557 Loss_G: 0.008884 Loss_D_real: -0.018467 Loss_D_fake -0.000910
[1420/5000][150/535][146504] Loss_D: -0.019843 Loss_G: 0.003162 Loss_D_real: -0.022670 Loss_D_fake -0.002827
[1420/5000][155/535][146505] Loss_D: -0.019203 Loss_G: 0.001109 Loss_D_real: -0.001518 Loss_D_fake 0.017686
[1420/5000][160/535][146506] Loss_D: -0.018361 Loss_G: 0.004813 Loss_D_real: -0.009690 Loss_D_fake 0.008671
[1420/5000][165/535][146507] Loss_D: -0.019442 Loss_G: 0.016016 Loss_D_real: -0.019646 Loss_D_fake -0.000204
[1420/5000][170/535][146508] Loss_D: -0.017220 Loss_G: 0.013391 Loss_D_real: -0.017333 Loss_D_fake -0.000113
[1420/5000][175/535][146509] Loss_D: -0.018667 Loss_G: -0.001984 Loss_D_real: -0.023603 Loss_D_fake -0.004936
[1420/5000][180/535][146510] Loss_D: -0.018501 Loss_G: 0.000678 Loss_D_real: -0.022611 Loss_D_fake -0.004110
[1420/5000][185/535][146511] Loss_D: -0.019073 Loss_G: 0.006632 Loss_D_real: -0.035244 Loss_D_fake -0.016171
[1420/5000][190/535][146512] Loss_D: -0.018560 Loss_G: -0.005495 Loss_D_real: -0.005891 Loss_D_fake 0.012669
[1420/5000][195/535][146513] Loss_D: -0.019904 Loss_G: -0.007300 Loss_D_real: -0.002884 Loss_D_fake 0.017020
[1420/5000][200/535][146514] Loss_D: -0.019839 Loss_G: 0.012447 Loss_D_real: -0.011928 Loss_D_fake 0.007911
[1420/5000][205/535][146515] Loss_D: -0.019155 Loss_G: -0.006097 Loss_D_real: -0.022166 Loss_D_fake -0.003011
[1420/5000][210/535][146516] Loss_D: -0.017698 Loss_G: 0.007932 Loss_D_real: -0.029625 Loss_D_fake -0.011927
[1420/5000][215/535][146517] Loss_D: -0.018880 Loss_G: -0.001861 Loss_D_real: -0.007977 Loss_D_fake 0.010903
[1420/5000][220/535][146518] Loss_D: -0.019864 Loss_G: 0.011226 Loss_D_real: -0.016717 Loss_D_fake 0.003147
[1420/5000][225/535][146519] Loss_D: -0.019037 Loss_G: 0.015819 Loss_D_real: -0.030477 Loss_D_fake -0.011440
[1420/5000][230/535][146520] Loss_D: -0.018387 Loss_G: 0.002002 Loss_D_real: -0.011456 Loss_D_fake 0.006930
[1420/5000][235/535][146521] Loss_D: -0.020066 Loss_G: 0.022027 Loss_D_real: -0.030624 Loss_D_fake -0.010558
[1420/5000][240/535][146522] Loss_D: -0.019997 Loss_G: 0.003403 Loss_D_real: -0.027148 Loss_D_fake -0.007151
[1420/5000][245/535][146523] Loss_D: -0.020151 Loss_G: 0.018190 Loss_D_real: -0.030068 Loss_D_fake -0.009917
[1420/5000][250/535][146524] Loss_D: -0.019197 Loss_G: -0.014523 Loss_D_real: -0.000842 Loss_D_fake 0.018355
[1420/5000][255/535][146525] Loss_D: -0.019881 Loss_G: 0.020214 Loss_D_real: -0.025580 Loss_D_fake -0.005699
[1420/5000][260/535][146526] Loss_D: -0.019340 Loss_G: 0.011917 Loss_D_real: -0.007719 Loss_D_fake 0.011621
[1420/5000][265/535][146527] Loss_D: -0.020683 Loss_G: 0.012876 Loss_D_real: -0.025090 Loss_D_fake -0.004407
[1420/5000][270/535][146528] Loss_D: -0.019026 Loss_G: -0.001989 Loss_D_real: 0.007524 Loss_D_fake 0.026550
[1420/5000][275/535][146529] Loss_D: -0.019439 Loss_G: 0.001745 Loss_D_real: -0.013850 Loss_D_fake 0.005589
[1420/5000][280/535][146530] Loss_D: -0.019470 Loss_G: 0.006895 Loss_D_real: -0.028901 Loss_D_fake -0.009432
[1420/5000][285/535][146531] Loss_D: -0.019182 Loss_G: 0.000969 Loss_D_real: -0.010705 Loss_D_fake 0.008477
[1420/5000][290/535][146532] Loss_D: -0.019070 Loss_G: 0.005603 Loss_D_real: -0.016462 Loss_D_fake 0.002607
[1420/5000][295/535][146533] Loss_D: -0.019061 Loss_G: 0.003037 Loss_D_real: -0.015806 Loss_D_fake 0.003255
[1420/5000][300/535][146534] Loss_D: -0.020258 Loss_G: 0.010383 Loss_D_real: -0.030213 Loss_D_fake -0.009955
[1420/5000][305/535][146535] Loss_D: -0.019550 Loss_G: 0.008289 Loss_D_real: -0.018965 Loss_D_fake 0.000585
[1420/5000][310/535][146536] Loss_D: -0.021027 Loss_G: 0.015351 Loss_D_real: -0.022862 Loss_D_fake -0.001835
[1420/5000][315/535][146537] Loss_D: -0.019680 Loss_G: 0.002852 Loss_D_real: -0.011713 Loss_D_fake 0.007967
[1420/5000][320/535][146538] Loss_D: -0.018644 Loss_G: 0.004463 Loss_D_real: -0.022158 Loss_D_fake -0.003514
[1420/5000][325/535][146539] Loss_D: -0.021392 Loss_G: 0.002829 Loss_D_real: -0.008765 Loss_D_fake 0.012627
[1420/5000][330/535][146540] Loss_D: -0.021264 Loss_G: 0.017192 Loss_D_real: -0.018566 Loss_D_fake 0.002698
[1420/5000][335/535][146541] Loss_D: -0.020485 Loss_G: 0.017854 Loss_D_real: -0.031498 Loss_D_fake -0.011013
[1420/5000][340/535][146542] Loss_D: -0.022170 Loss_G: 0.002866 Loss_D_real: -0.016757 Loss_D_fake 0.005413
[1420/5000][345/535][146543] Loss_D: -0.019482 Loss_G: 0.012976 Loss_D_real: -0.006612 Loss_D_fake 0.012870
[1420/5000][350/535][146544] Loss_D: -0.020921 Loss_G: -0.005577 Loss_D_real: 0.001344 Loss_D_fake 0.022265
[1420/5000][355/535][146545] Loss_D: -0.020223 Loss_G: -0.011799 Loss_D_real: 0.001756 Loss_D_fake 0.021978
[1420/5000][360/535][146546] Loss_D: -0.021243 Loss_G: 0.015759 Loss_D_real: -0.009518 Loss_D_fake 0.011725
[1420/5000][365/535][146547] Loss_D: -0.019853 Loss_G: 0.002759 Loss_D_real: -0.012485 Loss_D_fake 0.007368
[1420/5000][370/535][146548] Loss_D: -0.019401 Loss_G: 0.029188 Loss_D_real: -0.026401 Loss_D_fake -0.006999
[1420/5000][375/535][146549] Loss_D: -0.019920 Loss_G: 0.011329 Loss_D_real: -0.030882 Loss_D_fake -0.010962
[1420/5000][380/535][146550] Loss_D: -0.019227 Loss_G: -0.004557 Loss_D_real: -0.006618 Loss_D_fake 0.012608
[1420/5000][385/535][146551] Loss_D: -0.020133 Loss_G: -0.012453 Loss_D_real: -0.005251 Loss_D_fake 0.014882
[1420/5000][390/535][146552] Loss_D: -0.019352 Loss_G: 0.010330 Loss_D_real: -0.029382 Loss_D_fake -0.010031
[1420/5000][395/535][146553] Loss_D: -0.020995 Loss_G: -0.000987 Loss_D_real: -0.007732 Loss_D_fake 0.013263
[1420/5000][400/535][146554] Loss_D: -0.019374 Loss_G: 0.004811 Loss_D_real: -0.013163 Loss_D_fake 0.006211
[1420/5000][405/535][146555] Loss_D: -0.020265 Loss_G: 0.007330 Loss_D_real: -0.014621 Loss_D_fake 0.005645
[1420/5000][410/535][146556] Loss_D: -0.021063 Loss_G: 0.000407 Loss_D_real: -0.015921 Loss_D_fake 0.005142
[1420/5000][415/535][146557] Loss_D: -0.021142 Loss_G: -0.004216 Loss_D_real: 0.001217 Loss_D_fake 0.022359
[1420/5000][420/535][146558] Loss_D: -0.019710 Loss_G: 0.019188 Loss_D_real: -0.019279 Loss_D_fake 0.000431
[1420/5000][425/535][146559] Loss_D: -0.019782 Loss_G: 0.027385 Loss_D_real: -0.016316 Loss_D_fake 0.003466
[1420/5000][430/535][146560] Loss_D: -0.020328 Loss_G: 0.002010 Loss_D_real: -0.017690 Loss_D_fake 0.002638
[1420/5000][435/535][146561] Loss_D: -0.019571 Loss_G: 0.007146 Loss_D_real: -0.016664 Loss_D_fake 0.002908
[1420/5000][440/535][146562] Loss_D: -0.018611 Loss_G: 0.016469 Loss_D_real: -0.021051 Loss_D_fake -0.002440
[1420/5000][445/535][146563] Loss_D: -0.019735 Loss_G: 0.006268 Loss_D_real: -0.008827 Loss_D_fake 0.010907
[1420/5000][450/535][146564] Loss_D: -0.019431 Loss_G: -0.008902 Loss_D_real: 0.001892 Loss_D_fake 0.021323
[1420/5000][455/535][146565] Loss_D: -0.018831 Loss_G: 0.016384 Loss_D_real: -0.027010 Loss_D_fake -0.008179
[1420/5000][460/535][146566] Loss_D: -0.019771 Loss_G: 0.037650 Loss_D_real: -0.023930 Loss_D_fake -0.004160
[1420/5000][465/535][146567] Loss_D: -0.020115 Loss_G: 0.009490 Loss_D_real: -0.024811 Loss_D_fake -0.004695
[1420/5000][470/535][146568] Loss_D: -0.021666 Loss_G: 0.004982 Loss_D_real: -0.014982 Loss_D_fake 0.006685
[1420/5000][475/535][146569] Loss_D: -0.019589 Loss_G: -0.003175 Loss_D_real: -0.015141 Loss_D_fake 0.004448
[1420/5000][480/535][146570] Loss_D: -0.019750 Loss_G: 0.008396 Loss_D_real: -0.015075 Loss_D_fake 0.004675
[1420/5000][485/535][146571] Loss_D: -0.018451 Loss_G: 0.031147 Loss_D_real: -0.014203 Loss_D_fake 0.004248
[1420/5000][490/535][146572] Loss_D: -0.018047 Loss_G: 0.034153 Loss_D_real: -0.028530 Loss_D_fake -0.010483
[1420/5000][495/535][146573] Loss_D: -0.019990 Loss_G: 0.009892 Loss_D_real: -0.012999 Loss_D_fake 0.006991
[1420/5000][500/535][146574] Loss_D: -0.020194 Loss_G: -0.005205 Loss_D_real: -0.018963 Loss_D_fake 0.001231
[1420/5000][505/535][146575] Loss_D: -0.018974 Loss_G: 0.000015 Loss_D_real: 0.004536 Loss_D_fake 0.023511
[1420/5000][510/535][146576] Loss_D: -0.020297 Loss_G: 0.000761 Loss_D_real: -0.023001 Loss_D_fake -0.002704
[1420/5000][515/535][146577] Loss_D: -0.019319 Loss_G: 0.025051 Loss_D_real: -0.033567 Loss_D_fake -0.014249
[1420/5000][520/535][146578] Loss_D: -0.018738 Loss_G: -0.000772 Loss_D_real: -0.011568 Loss_D_fake 0.007170
[1420/5000][525/535][146579] Loss_D: -0.019099 Loss_G: -0.013607 Loss_D_real: 0.001195 Loss_D_fake 0.020294
[1420/5000][530/535][146580] Loss_D: -0.019661 Loss_G: -0.006319 Loss_D_real: -0.007485 Loss_D_fake 0.012176
[1420/5000][535/535][146581] Loss_D: -0.023723 Loss_G: 0.023885 Loss_D_real: -0.020069 Loss_D_fake 0.003654
[1421/5000][5/535][146582] Loss_D: -0.019546 Loss_G: -0.017072 Loss_D_real: -0.006005 Loss_D_fake 0.013542
[1421/5000][10/535][146583] Loss_D: -0.019319 Loss_G: 0.011443 Loss_D_real: -0.009386 Loss_D_fake 0.009933
[1421/5000][15/535][146584] Loss_D: -0.017250 Loss_G: 0.029037 Loss_D_real: -0.030317 Loss_D_fake -0.013067
[1421/5000][20/535][146585] Loss_D: -0.017272 Loss_G: 0.026893 Loss_D_real: -0.034435 Loss_D_fake -0.017163
[1421/5000][25/535][146586] Loss_D: -0.020173 Loss_G: 0.005459 Loss_D_real: -0.012846 Loss_D_fake 0.007327
[1421/5000][30/535][146587] Loss_D: -0.019632 Loss_G: 0.014179 Loss_D_real: -0.017996 Loss_D_fake 0.001636
[1421/5000][35/535][146588] Loss_D: -0.019610 Loss_G: 0.014104 Loss_D_real: -0.016952 Loss_D_fake 0.002658
[1421/5000][40/535][146589] Loss_D: -0.019066 Loss_G: 0.009546 Loss_D_real: -0.024320 Loss_D_fake -0.005255
[1421/5000][45/535][146590] Loss_D: -0.018976 Loss_G: -0.010861 Loss_D_real: -0.005331 Loss_D_fake 0.013645
[1421/5000][50/535][146591] Loss_D: -0.020421 Loss_G: 0.014316 Loss_D_real: -0.029267 Loss_D_fake -0.008846
[1421/5000][55/535][146592] Loss_D: -0.019021 Loss_G: 0.002665 Loss_D_real: -0.007228 Loss_D_fake 0.011792
[1421/5000][60/535][146593] Loss_D: -0.021838 Loss_G: 0.005753 Loss_D_real: -0.022720 Loss_D_fake -0.000881
[1421/5000][65/535][146594] Loss_D: -0.019599 Loss_G: 0.021724 Loss_D_real: -0.036066 Loss_D_fake -0.016466
[1421/5000][70/535][146595] Loss_D: -0.019195 Loss_G: 0.036308 Loss_D_real: -0.025295 Loss_D_fake -0.006100
[1421/5000][75/535][146596] Loss_D: -0.020998 Loss_G: 0.010119 Loss_D_real: -0.026773 Loss_D_fake -0.005774
[1421/5000][80/535][146597] Loss_D: -0.021048 Loss_G: 0.000313 Loss_D_real: -0.028881 Loss_D_fake -0.007834
[1421/5000][85/535][146598] Loss_D: -0.019685 Loss_G: 0.020298 Loss_D_real: -0.032601 Loss_D_fake -0.012916
[1421/5000][90/535][146599] Loss_D: -0.019187 Loss_G: -0.003470 Loss_D_real: -0.009386 Loss_D_fake 0.009801
[1421/5000][95/535][146600] Loss_D: -0.018753 Loss_G: -0.011178 Loss_D_real: -0.002350 Loss_D_fake 0.016403
[1421/5000][100/535][146601] Loss_D: -0.018853 Loss_G: -0.003313 Loss_D_real: -0.003944 Loss_D_fake 0.014909
[1421/5000][105/535][146602] Loss_D: -0.020154 Loss_G: 0.011978 Loss_D_real: -0.018843 Loss_D_fake 0.001311
[1421/5000][110/535][146603] Loss_D: -0.020371 Loss_G: 0.009112 Loss_D_real: -0.019002 Loss_D_fake 0.001370
[1421/5000][115/535][146604] Loss_D: -0.020673 Loss_G: 0.003474 Loss_D_real: -0.008806 Loss_D_fake 0.011867
[1421/5000][120/535][146605] Loss_D: -0.019117 Loss_G: 0.011646 Loss_D_real: -0.011029 Loss_D_fake 0.008088
[1421/5000][125/535][146606] Loss_D: -0.019172 Loss_G: -0.015245 Loss_D_real: -0.007484 Loss_D_fake 0.011687
[1421/5000][130/535][146607] Loss_D: -0.021136 Loss_G: 0.001377 Loss_D_real: -0.008764 Loss_D_fake 0.012372
[1421/5000][135/535][146608] Loss_D: -0.019535 Loss_G: 0.015382 Loss_D_real: -0.026563 Loss_D_fake -0.007029
[1421/5000][140/535][146609] Loss_D: -0.019439 Loss_G: 0.002298 Loss_D_real: -0.015545 Loss_D_fake 0.003894
[1421/5000][145/535][146610] Loss_D: -0.020209 Loss_G: 0.020056 Loss_D_real: -0.023480 Loss_D_fake -0.003271
[1421/5000][150/535][146611] Loss_D: -0.020725 Loss_G: 0.018410 Loss_D_real: -0.021605 Loss_D_fake -0.000880
[1421/5000][155/535][146612] Loss_D: -0.020862 Loss_G: -0.008754 Loss_D_real: -0.003369 Loss_D_fake 0.017492
[1421/5000][160/535][146613] Loss_D: -0.019393 Loss_G: 0.011856 Loss_D_real: -0.023750 Loss_D_fake -0.004356
[1421/5000][165/535][146614] Loss_D: -0.020898 Loss_G: 0.005524 Loss_D_real: -0.004290 Loss_D_fake 0.016607
[1421/5000][170/535][146615] Loss_D: -0.019582 Loss_G: 0.016890 Loss_D_real: -0.022896 Loss_D_fake -0.003314
[1421/5000][175/535][146616] Loss_D: -0.019790 Loss_G: -0.004459 Loss_D_real: -0.006400 Loss_D_fake 0.013390
[1421/5000][180/535][146617] Loss_D: -0.018679 Loss_G: 0.015934 Loss_D_real: -0.020512 Loss_D_fake -0.001833
[1421/5000][185/535][146618] Loss_D: -0.020122 Loss_G: 0.014874 Loss_D_real: -0.024631 Loss_D_fake -0.004509
[1421/5000][190/535][146619] Loss_D: -0.019912 Loss_G: -0.009301 Loss_D_real: -0.013585 Loss_D_fake 0.006327
[1421/5000][195/535][146620] Loss_D: -0.019964 Loss_G: 0.004415 Loss_D_real: -0.018186 Loss_D_fake 0.001778
[1421/5000][200/535][146621] Loss_D: -0.018769 Loss_G: 0.016885 Loss_D_real: -0.023974 Loss_D_fake -0.005204
[1421/5000][205/535][146622] Loss_D: -0.019678 Loss_G: 0.011147 Loss_D_real: -0.007390 Loss_D_fake 0.012288
[1421/5000][210/535][146623] Loss_D: -0.020184 Loss_G: -0.001542 Loss_D_real: -0.017289 Loss_D_fake 0.002895
[1421/5000][215/535][146624] Loss_D: -0.019521 Loss_G: -0.014023 Loss_D_real: -0.006627 Loss_D_fake 0.012894
[1421/5000][220/535][146625] Loss_D: -0.019635 Loss_G: 0.028656 Loss_D_real: -0.034369 Loss_D_fake -0.014734
[1421/5000][225/535][146626] Loss_D: -0.020794 Loss_G: 0.011982 Loss_D_real: -0.036883 Loss_D_fake -0.016089
[1421/5000][230/535][146627] Loss_D: -0.020610 Loss_G: 0.019253 Loss_D_real: -0.030890 Loss_D_fake -0.010280
[1421/5000][235/535][146628] Loss_D: -0.019858 Loss_G: 0.015338 Loss_D_real: -0.019904 Loss_D_fake -0.000046
[1421/5000][240/535][146629] Loss_D: -0.021590 Loss_G: 0.005510 Loss_D_real: -0.025603 Loss_D_fake -0.004013
[1421/5000][245/535][146630] Loss_D: -0.021005 Loss_G: 0.023795 Loss_D_real: -0.022093 Loss_D_fake -0.001088
[1421/5000][250/535][146631] Loss_D: -0.020755 Loss_G: -0.003067 Loss_D_real: -0.011181 Loss_D_fake 0.009574
[1421/5000][255/535][146632] Loss_D: -0.019830 Loss_G: -0.009493 Loss_D_real: -0.003494 Loss_D_fake 0.016336
[1421/5000][260/535][146633] Loss_D: -0.020590 Loss_G: -0.003845 Loss_D_real: -0.015448 Loss_D_fake 0.005141
[1421/5000][265/535][146634] Loss_D: -0.020098 Loss_G: 0.004836 Loss_D_real: -0.024544 Loss_D_fake -0.004446
[1421/5000][270/535][146635] Loss_D: -0.020326 Loss_G: 0.030901 Loss_D_real: -0.015087 Loss_D_fake 0.005239
[1421/5000][275/535][146636] Loss_D: -0.018960 Loss_G: 0.005657 Loss_D_real: -0.014308 Loss_D_fake 0.004652
[1421/5000][280/535][146637] Loss_D: -0.019869 Loss_G: 0.026063 Loss_D_real: -0.029442 Loss_D_fake -0.009573
[1421/5000][285/535][146638] Loss_D: -0.019404 Loss_G: 0.003153 Loss_D_real: -0.015438 Loss_D_fake 0.003966
[1421/5000][290/535][146639] Loss_D: -0.019137 Loss_G: 0.011932 Loss_D_real: -0.008805 Loss_D_fake 0.010332
[1421/5000][295/535][146640] Loss_D: -0.020216 Loss_G: -0.002638 Loss_D_real: -0.020483 Loss_D_fake -0.000267
[1421/5000][300/535][146641] Loss_D: -0.021715 Loss_G: -0.001700 Loss_D_real: -0.014578 Loss_D_fake 0.007137
[1421/5000][305/535][146642] Loss_D: -0.019503 Loss_G: 0.030877 Loss_D_real: -0.022680 Loss_D_fake -0.003178
[1421/5000][310/535][146643] Loss_D: -0.020109 Loss_G: 0.009419 Loss_D_real: -0.010157 Loss_D_fake 0.009953
[1421/5000][315/535][146644] Loss_D: -0.021273 Loss_G: 0.007306 Loss_D_real: -0.010473 Loss_D_fake 0.010801
[1421/5000][320/535][146645] Loss_D: -0.019562 Loss_G: -0.001737 Loss_D_real: -0.002443 Loss_D_fake 0.017119
[1421/5000][325/535][146646] Loss_D: -0.019486 Loss_G: -0.000128 Loss_D_real: -0.004387 Loss_D_fake 0.015098
[1421/5000][330/535][146647] Loss_D: -0.020019 Loss_G: 0.017343 Loss_D_real: -0.021190 Loss_D_fake -0.001172
[1421/5000][335/535][146648] Loss_D: -0.019432 Loss_G: 0.016304 Loss_D_real: -0.027621 Loss_D_fake -0.008189
[1421/5000][340/535][146649] Loss_D: -0.020670 Loss_G: 0.000525 Loss_D_real: -0.020889 Loss_D_fake -0.000220
[1421/5000][345/535][146650] Loss_D: -0.020400 Loss_G: 0.015850 Loss_D_real: -0.010774 Loss_D_fake 0.009625
[1421/5000][350/535][146651] Loss_D: -0.020563 Loss_G: 0.014202 Loss_D_real: -0.020414 Loss_D_fake 0.000149
[1421/5000][355/535][146652] Loss_D: -0.020730 Loss_G: -0.012158 Loss_D_real: -0.024326 Loss_D_fake -0.003596
[1421/5000][360/535][146653] Loss_D: -0.019182 Loss_G: 0.019261 Loss_D_real: -0.021163 Loss_D_fake -0.001980
[1421/5000][365/535][146654] Loss_D: -0.020598 Loss_G: 0.011090 Loss_D_real: -0.011251 Loss_D_fake 0.009347
[1421/5000][370/535][146655] Loss_D: -0.021145 Loss_G: -0.016262 Loss_D_real: -0.020622 Loss_D_fake 0.000523
[1421/5000][375/535][146656] Loss_D: -0.020349 Loss_G: 0.004570 Loss_D_real: -0.027355 Loss_D_fake -0.007006
[1421/5000][380/535][146657] Loss_D: -0.020595 Loss_G: 0.010051 Loss_D_real: -0.012554 Loss_D_fake 0.008042
[1421/5000][385/535][146658] Loss_D: -0.021194 Loss_G: 0.005771 Loss_D_real: 0.000679 Loss_D_fake 0.021872
[1421/5000][390/535][146659] Loss_D: -0.018858 Loss_G: -0.012596 Loss_D_real: -0.005137 Loss_D_fake 0.013720
[1421/5000][395/535][146660] Loss_D: -0.020006 Loss_G: 0.017391 Loss_D_real: -0.014640 Loss_D_fake 0.005366
[1421/5000][400/535][146661] Loss_D: -0.019008 Loss_G: 0.007474 Loss_D_real: -0.020532 Loss_D_fake -0.001524
[1421/5000][405/535][146662] Loss_D: -0.019449 Loss_G: 0.002259 Loss_D_real: -0.005569 Loss_D_fake 0.013881
[1421/5000][410/535][146663] Loss_D: -0.019571 Loss_G: 0.008995 Loss_D_real: -0.032636 Loss_D_fake -0.013064
[1421/5000][415/535][146664] Loss_D: -0.017929 Loss_G: -0.012788 Loss_D_real: 0.000537 Loss_D_fake 0.018466
[1421/5000][420/535][146665] Loss_D: -0.019948 Loss_G: 0.013618 Loss_D_real: -0.027465 Loss_D_fake -0.007517
[1421/5000][425/535][146666] Loss_D: -0.019531 Loss_G: 0.013075 Loss_D_real: -0.018657 Loss_D_fake 0.000874
[1421/5000][430/535][146667] Loss_D: -0.021941 Loss_G: 0.008028 Loss_D_real: -0.032915 Loss_D_fake -0.010974
[1421/5000][435/535][146668] Loss_D: -0.020360 Loss_G: 0.023456 Loss_D_real: -0.019299 Loss_D_fake 0.001062
[1421/5000][440/535][146669] Loss_D: -0.021844 Loss_G: 0.024201 Loss_D_real: -0.032134 Loss_D_fake -0.010289
[1421/5000][445/535][146670] Loss_D: -0.021800 Loss_G: 0.009605 Loss_D_real: -0.009216 Loss_D_fake 0.012585
[1421/5000][450/535][146671] Loss_D: -0.020681 Loss_G: 0.010754 Loss_D_real: -0.002188 Loss_D_fake 0.018493
[1421/5000][455/535][146672] Loss_D: -0.020096 Loss_G: -0.002448 Loss_D_real: -0.007435 Loss_D_fake 0.012661
[1421/5000][460/535][146673] Loss_D: -0.020542 Loss_G: 0.024647 Loss_D_real: -0.026804 Loss_D_fake -0.006262
[1421/5000][465/535][146674] Loss_D: -0.020472 Loss_G: -0.009826 Loss_D_real: -0.007935 Loss_D_fake 0.012537
[1421/5000][470/535][146675] Loss_D: -0.020954 Loss_G: 0.015454 Loss_D_real: -0.037014 Loss_D_fake -0.016059
[1421/5000][475/535][146676] Loss_D: -0.021038 Loss_G: 0.005471 Loss_D_real: -0.014614 Loss_D_fake 0.006424
[1421/5000][480/535][146677] Loss_D: -0.018543 Loss_G: 0.028196 Loss_D_real: -0.027399 Loss_D_fake -0.008857
[1421/5000][485/535][146678] Loss_D: -0.018960 Loss_G: 0.025526 Loss_D_real: -0.029233 Loss_D_fake -0.010273
[1421/5000][490/535][146679] Loss_D: -0.019766 Loss_G: 0.007577 Loss_D_real: -0.015074 Loss_D_fake 0.004692
[1421/5000][495/535][146680] Loss_D: -0.020674 Loss_G: 0.016099 Loss_D_real: -0.014090 Loss_D_fake 0.006584
[1421/5000][500/535][146681] Loss_D: -0.021276 Loss_G: -0.010318 Loss_D_real: -0.007838 Loss_D_fake 0.013438
[1421/5000][505/535][146682] Loss_D: -0.019841 Loss_G: 0.018601 Loss_D_real: -0.017830 Loss_D_fake 0.002011
[1421/5000][510/535][146683] Loss_D: -0.019798 Loss_G: 0.003919 Loss_D_real: -0.022190 Loss_D_fake -0.002392
[1421/5000][515/535][146684] Loss_D: -0.019703 Loss_G: 0.003352 Loss_D_real: -0.002155 Loss_D_fake 0.017548
[1421/5000][520/535][146685] Loss_D: -0.018906 Loss_G: 0.002777 Loss_D_real: -0.009393 Loss_D_fake 0.009513
[1421/5000][525/535][146686] Loss_D: -0.018824 Loss_G: 0.000408 Loss_D_real: -0.008042 Loss_D_fake 0.010783
[1421/5000][530/535][146687] Loss_D: -0.020497 Loss_G: -0.002763 Loss_D_real: -0.021374 Loss_D_fake -0.000877
[1421/5000][535/535][146688] Loss_D: -0.019731 Loss_G: -0.018324 Loss_D_real: -0.019816 Loss_D_fake -0.000085
[1422/5000][5/535][146689] Loss_D: -0.019246 Loss_G: 0.017104 Loss_D_real: -0.023090 Loss_D_fake -0.003844
[1422/5000][10/535][146690] Loss_D: -0.020494 Loss_G: 0.010531 Loss_D_real: -0.015987 Loss_D_fake 0.004506
[1422/5000][15/535][146691] Loss_D: -0.020577 Loss_G: 0.009055 Loss_D_real: -0.004716 Loss_D_fake 0.015861
[1422/5000][20/535][146692] Loss_D: -0.019292 Loss_G: 0.009614 Loss_D_real: -0.016224 Loss_D_fake 0.003068
[1422/5000][25/535][146693] Loss_D: -0.020652 Loss_G: 0.002946 Loss_D_real: -0.013963 Loss_D_fake 0.006689
[1422/5000][30/535][146694] Loss_D: -0.020024 Loss_G: 0.005586 Loss_D_real: -0.009372 Loss_D_fake 0.010652
[1422/5000][35/535][146695] Loss_D: -0.019268 Loss_G: 0.001519 Loss_D_real: -0.019930 Loss_D_fake -0.000662
[1422/5000][40/535][146696] Loss_D: -0.020706 Loss_G: -0.009713 Loss_D_real: -0.021950 Loss_D_fake -0.001244
[1422/5000][45/535][146697] Loss_D: -0.019899 Loss_G: 0.004940 Loss_D_real: -0.004448 Loss_D_fake 0.015451
[1422/5000][50/535][146698] Loss_D: -0.020521 Loss_G: -0.001070 Loss_D_real: -0.012462 Loss_D_fake 0.008058
[1422/5000][55/535][146699] Loss_D: -0.019231 Loss_G: 0.008527 Loss_D_real: -0.021491 Loss_D_fake -0.002261
[1422/5000][60/535][146700] Loss_D: -0.021551 Loss_G: -0.003894 Loss_D_real: -0.004284 Loss_D_fake 0.017268
[1422/5000][65/535][146701] Loss_D: -0.019765 Loss_G: 0.012076 Loss_D_real: -0.016583 Loss_D_fake 0.003182
[1422/5000][70/535][146702] Loss_D: -0.019144 Loss_G: 0.000404 Loss_D_real: -0.007541 Loss_D_fake 0.011603
[1422/5000][75/535][146703] Loss_D: -0.020020 Loss_G: 0.018158 Loss_D_real: -0.014583 Loss_D_fake 0.005437
[1422/5000][80/535][146704] Loss_D: -0.018919 Loss_G: -0.017031 Loss_D_real: -0.000051 Loss_D_fake 0.018868
[1422/5000][85/535][146705] Loss_D: -0.019838 Loss_G: -0.000899 Loss_D_real: -0.007644 Loss_D_fake 0.012195
[1422/5000][90/535][146706] Loss_D: -0.018978 Loss_G: 0.015841 Loss_D_real: -0.008951 Loss_D_fake 0.010028
[1422/5000][95/535][146707] Loss_D: -0.019718 Loss_G: -0.004636 Loss_D_real: 0.008406 Loss_D_fake 0.028124
[1422/5000][100/535][146708] Loss_D: -0.018620 Loss_G: 0.007435 Loss_D_real: -0.020607 Loss_D_fake -0.001986
[1422/5000][105/535][146709] Loss_D: -0.017613 Loss_G: 0.024193 Loss_D_real: -0.017024 Loss_D_fake 0.000589
[1422/5000][110/535][146710] Loss_D: -0.018748 Loss_G: -0.003728 Loss_D_real: -0.024911 Loss_D_fake -0.006162
[1422/5000][115/535][146711] Loss_D: -0.019190 Loss_G: 0.015354 Loss_D_real: -0.038434 Loss_D_fake -0.019244
[1422/5000][120/535][146712] Loss_D: -0.019070 Loss_G: 0.019594 Loss_D_real: -0.020890 Loss_D_fake -0.001821
[1422/5000][125/535][146713] Loss_D: -0.019284 Loss_G: -0.004011 Loss_D_real: -0.018198 Loss_D_fake 0.001087
[1422/5000][130/535][146714] Loss_D: -0.019153 Loss_G: 0.023615 Loss_D_real: -0.019732 Loss_D_fake -0.000579
[1422/5000][135/535][146715] Loss_D: -0.017374 Loss_G: 0.024767 Loss_D_real: -0.036794 Loss_D_fake -0.019420
[1422/5000][140/535][146716] Loss_D: -0.019304 Loss_G: 0.019575 Loss_D_real: -0.020862 Loss_D_fake -0.001558
[1422/5000][145/535][146717] Loss_D: -0.020645 Loss_G: 0.010103 Loss_D_real: -0.032486 Loss_D_fake -0.011842
[1422/5000][150/535][146718] Loss_D: -0.019887 Loss_G: 0.007233 Loss_D_real: -0.014130 Loss_D_fake 0.005757
[1422/5000][155/535][146719] Loss_D: -0.020392 Loss_G: 0.009389 Loss_D_real: -0.015440 Loss_D_fake 0.004952
[1422/5000][160/535][146720] Loss_D: -0.020081 Loss_G: 0.016823 Loss_D_real: -0.010637 Loss_D_fake 0.009444
[1422/5000][165/535][146721] Loss_D: -0.019806 Loss_G: 0.023582 Loss_D_real: -0.037221 Loss_D_fake -0.017415
[1422/5000][170/535][146722] Loss_D: -0.022232 Loss_G: 0.003343 Loss_D_real: -0.024468 Loss_D_fake -0.002236
[1422/5000][175/535][146723] Loss_D: -0.023039 Loss_G: 0.004841 Loss_D_real: -0.021005 Loss_D_fake 0.002033
[1422/5000][180/535][146724] Loss_D: -0.021573 Loss_G: 0.010799 Loss_D_real: -0.015057 Loss_D_fake 0.006516
[1422/5000][185/535][146725] Loss_D: -0.021140 Loss_G: -0.007313 Loss_D_real: -0.000311 Loss_D_fake 0.020829
[1422/5000][190/535][146726] Loss_D: -0.020046 Loss_G: 0.003215 Loss_D_real: -0.017784 Loss_D_fake 0.002262
[1422/5000][195/535][146727] Loss_D: -0.019724 Loss_G: -0.012525 Loss_D_real: 0.003591 Loss_D_fake 0.023314
[1422/5000][200/535][146728] Loss_D: -0.020075 Loss_G: 0.024930 Loss_D_real: -0.028411 Loss_D_fake -0.008336
[1422/5000][205/535][146729] Loss_D: -0.019250 Loss_G: 0.014365 Loss_D_real: -0.025505 Loss_D_fake -0.006255
[1422/5000][210/535][146730] Loss_D: -0.019027 Loss_G: 0.024201 Loss_D_real: -0.015169 Loss_D_fake 0.003858
[1422/5000][215/535][146731] Loss_D: -0.018916 Loss_G: -0.021402 Loss_D_real: -0.006569 Loss_D_fake 0.012348
[1422/5000][220/535][146732] Loss_D: -0.020510 Loss_G: 0.013669 Loss_D_real: -0.027401 Loss_D_fake -0.006891
[1422/5000][225/535][146733] Loss_D: -0.020329 Loss_G: 0.000545 Loss_D_real: -0.014032 Loss_D_fake 0.006297
[1422/5000][230/535][146734] Loss_D: -0.020214 Loss_G: 0.012457 Loss_D_real: -0.013602 Loss_D_fake 0.006613
[1422/5000][235/535][146735] Loss_D: -0.021072 Loss_G: 0.000325 Loss_D_real: -0.029125 Loss_D_fake -0.008053
[1422/5000][240/535][146736] Loss_D: -0.019804 Loss_G: 0.003667 Loss_D_real: -0.028555 Loss_D_fake -0.008750
[1422/5000][245/535][146737] Loss_D: -0.021065 Loss_G: 0.009480 Loss_D_real: -0.015971 Loss_D_fake 0.005094
[1422/5000][250/535][146738] Loss_D: -0.020422 Loss_G: 0.002396 Loss_D_real: -0.019047 Loss_D_fake 0.001375
[1422/5000][255/535][146739] Loss_D: -0.020195 Loss_G: 0.024116 Loss_D_real: -0.022527 Loss_D_fake -0.002332
[1422/5000][260/535][146740] Loss_D: -0.019681 Loss_G: 0.017627 Loss_D_real: -0.034625 Loss_D_fake -0.014944
[1422/5000][265/535][146741] Loss_D: -0.018915 Loss_G: 0.025617 Loss_D_real: -0.034750 Loss_D_fake -0.015835
[1422/5000][270/535][146742] Loss_D: -0.019209 Loss_G: 0.021801 Loss_D_real: -0.035762 Loss_D_fake -0.016553
[1422/5000][275/535][146743] Loss_D: -0.018628 Loss_G: 0.005796 Loss_D_real: -0.029990 Loss_D_fake -0.011362
[1422/5000][280/535][146744] Loss_D: -0.019843 Loss_G: -0.004396 Loss_D_real: -0.027811 Loss_D_fake -0.007968
[1422/5000][285/535][146745] Loss_D: -0.019253 Loss_G: 0.007131 Loss_D_real: -0.018322 Loss_D_fake 0.000931
[1422/5000][290/535][146746] Loss_D: -0.018285 Loss_G: 0.009767 Loss_D_real: -0.009331 Loss_D_fake 0.008954
[1422/5000][295/535][146747] Loss_D: -0.018901 Loss_G: 0.006326 Loss_D_real: -0.019239 Loss_D_fake -0.000338
[1422/5000][300/535][146748] Loss_D: -0.019135 Loss_G: 0.008251 Loss_D_real: -0.010525 Loss_D_fake 0.008610
[1422/5000][305/535][146749] Loss_D: -0.020417 Loss_G: 0.009999 Loss_D_real: -0.019327 Loss_D_fake 0.001090
[1422/5000][310/535][146750] Loss_D: -0.020343 Loss_G: -0.000440 Loss_D_real: -0.015756 Loss_D_fake 0.004588
[1422/5000][315/535][146751] Loss_D: -0.019106 Loss_G: 0.007409 Loss_D_real: -0.014223 Loss_D_fake 0.004883
[1422/5000][320/535][146752] Loss_D: -0.020923 Loss_G: 0.004999 Loss_D_real: -0.030033 Loss_D_fake -0.009110
[1422/5000][325/535][146753] Loss_D: -0.020843 Loss_G: 0.007528 Loss_D_real: -0.018578 Loss_D_fake 0.002265
[1422/5000][330/535][146754] Loss_D: -0.020249 Loss_G: 0.025148 Loss_D_real: -0.024382 Loss_D_fake -0.004133
[1422/5000][335/535][146755] Loss_D: -0.021374 Loss_G: 0.012299 Loss_D_real: -0.022502 Loss_D_fake -0.001128
[1422/5000][340/535][146756] Loss_D: -0.020408 Loss_G: 0.013420 Loss_D_real: -0.002424 Loss_D_fake 0.017984
[1422/5000][345/535][146757] Loss_D: -0.018978 Loss_G: 0.027261 Loss_D_real: -0.026783 Loss_D_fake -0.007805
[1422/5000][350/535][146758] Loss_D: -0.020842 Loss_G: 0.019511 Loss_D_real: -0.032359 Loss_D_fake -0.011517
[1422/5000][355/535][146759] Loss_D: -0.019221 Loss_G: 0.018900 Loss_D_real: -0.030542 Loss_D_fake -0.011321
[1422/5000][360/535][146760] Loss_D: -0.020880 Loss_G: -0.002339 Loss_D_real: -0.009442 Loss_D_fake 0.011438
[1422/5000][365/535][146761] Loss_D: -0.019279 Loss_G: -0.011857 Loss_D_real: -0.011339 Loss_D_fake 0.007940
[1422/5000][370/535][146762] Loss_D: -0.021435 Loss_G: 0.001484 Loss_D_real: -0.012708 Loss_D_fake 0.008727
[1422/5000][375/535][146763] Loss_D: -0.018411 Loss_G: 0.009872 Loss_D_real: -0.017097 Loss_D_fake 0.001314
[1422/5000][380/535][146764] Loss_D: -0.020382 Loss_G: 0.013967 Loss_D_real: -0.012580 Loss_D_fake 0.007802
[1422/5000][385/535][146765] Loss_D: -0.019885 Loss_G: -0.005661 Loss_D_real: -0.007588 Loss_D_fake 0.012297
[1422/5000][390/535][146766] Loss_D: -0.020545 Loss_G: 0.000256 Loss_D_real: -0.012553 Loss_D_fake 0.007992
[1422/5000][395/535][146767] Loss_D: -0.020537 Loss_G: 0.012324 Loss_D_real: -0.026616 Loss_D_fake -0.006078
[1422/5000][400/535][146768] Loss_D: -0.019965 Loss_G: 0.034019 Loss_D_real: -0.029934 Loss_D_fake -0.009969
[1422/5000][405/535][146769] Loss_D: -0.020196 Loss_G: 0.017793 Loss_D_real: -0.019895 Loss_D_fake 0.000301
[1422/5000][410/535][146770] Loss_D: -0.020626 Loss_G: 0.011118 Loss_D_real: -0.030892 Loss_D_fake -0.010265
[1422/5000][415/535][146771] Loss_D: -0.019450 Loss_G: 0.004728 Loss_D_real: -0.007090 Loss_D_fake 0.012360
[1422/5000][420/535][146772] Loss_D: -0.020520 Loss_G: -0.012342 Loss_D_real: -0.011223 Loss_D_fake 0.009297
[1422/5000][425/535][146773] Loss_D: -0.019727 Loss_G: -0.003362 Loss_D_real: -0.021521 Loss_D_fake -0.001794
[1422/5000][430/535][146774] Loss_D: -0.019160 Loss_G: -0.006004 Loss_D_real: -0.000560 Loss_D_fake 0.018600
[1422/5000][435/535][146775] Loss_D: -0.018703 Loss_G: 0.015490 Loss_D_real: -0.021127 Loss_D_fake -0.002424
[1422/5000][440/535][146776] Loss_D: -0.019777 Loss_G: -0.020917 Loss_D_real: 0.002569 Loss_D_fake 0.022345
[1422/5000][445/535][146777] Loss_D: -0.019253 Loss_G: 0.018141 Loss_D_real: -0.033697 Loss_D_fake -0.014443
[1422/5000][450/535][146778] Loss_D: -0.018862 Loss_G: 0.019070 Loss_D_real: -0.028199 Loss_D_fake -0.009337
[1422/5000][455/535][146779] Loss_D: -0.019002 Loss_G: -0.020238 Loss_D_real: -0.008458 Loss_D_fake 0.010543
[1422/5000][460/535][146780] Loss_D: -0.017437 Loss_G: 0.021446 Loss_D_real: -0.024294 Loss_D_fake -0.006857
[1422/5000][465/535][146781] Loss_D: -0.019544 Loss_G: 0.004861 Loss_D_real: -0.017099 Loss_D_fake 0.002445
[1422/5000][470/535][146782] Loss_D: -0.019705 Loss_G: 0.013191 Loss_D_real: -0.019423 Loss_D_fake 0.000282
[1422/5000][475/535][146783] Loss_D: -0.019400 Loss_G: 0.004626 Loss_D_real: -0.013646 Loss_D_fake 0.005754
[1422/5000][480/535][146784] Loss_D: -0.019093 Loss_G: -0.008804 Loss_D_real: -0.012366 Loss_D_fake 0.006727
[1422/5000][485/535][146785] Loss_D: -0.020221 Loss_G: 0.017586 Loss_D_real: -0.029462 Loss_D_fake -0.009242
[1422/5000][490/535][146786] Loss_D: -0.019193 Loss_G: -0.013715 Loss_D_real: -0.003025 Loss_D_fake 0.016168
[1422/5000][495/535][146787] Loss_D: -0.019639 Loss_G: 0.006479 Loss_D_real: -0.017266 Loss_D_fake 0.002373
[1422/5000][500/535][146788] Loss_D: -0.019843 Loss_G: 0.000304 Loss_D_real: -0.013559 Loss_D_fake 0.006284
[1422/5000][505/535][146789] Loss_D: -0.018098 Loss_G: 0.028757 Loss_D_real: -0.036351 Loss_D_fake -0.018253
[1422/5000][510/535][146790] Loss_D: -0.019150 Loss_G: -0.009311 Loss_D_real: -0.004966 Loss_D_fake 0.014184
[1422/5000][515/535][146791] Loss_D: -0.020075 Loss_G: -0.004434 Loss_D_real: -0.012045 Loss_D_fake 0.008030
[1422/5000][520/535][146792] Loss_D: -0.021129 Loss_G: 0.013153 Loss_D_real: -0.026021 Loss_D_fake -0.004893
[1422/5000][525/535][146793] Loss_D: -0.019633 Loss_G: 0.015798 Loss_D_real: -0.026139 Loss_D_fake -0.006506
[1422/5000][530/535][146794] Loss_D: -0.019830 Loss_G: 0.017368 Loss_D_real: -0.019077 Loss_D_fake 0.000754
[1422/5000][535/535][146795] Loss_D: -0.018955 Loss_G: -0.028856 Loss_D_real: -0.004226 Loss_D_fake 0.014729
[1423/5000][5/535][146796] Loss_D: -0.020296 Loss_G: 0.026141 Loss_D_real: -0.016646 Loss_D_fake 0.003650
[1423/5000][10/535][146797] Loss_D: -0.018929 Loss_G: 0.019579 Loss_D_real: -0.030342 Loss_D_fake -0.011414
[1423/5000][15/535][146798] Loss_D: -0.018546 Loss_G: 0.017316 Loss_D_real: -0.033776 Loss_D_fake -0.015230
[1423/5000][20/535][146799] Loss_D: -0.022249 Loss_G: 0.001535 Loss_D_real: -0.015903 Loss_D_fake 0.006346
[1423/5000][25/535][146800] Loss_D: -0.020755 Loss_G: 0.004890 Loss_D_real: -0.025565 Loss_D_fake -0.004810
[1423/5000][30/535][146801] Loss_D: -0.019751 Loss_G: -0.008880 Loss_D_real: -0.008626 Loss_D_fake 0.011126
[1423/5000][35/535][146802] Loss_D: -0.020903 Loss_G: 0.000958 Loss_D_real: -0.014304 Loss_D_fake 0.006598
[1423/5000][40/535][146803] Loss_D: -0.019397 Loss_G: -0.002684 Loss_D_real: -0.007342 Loss_D_fake 0.012055
[1423/5000][45/535][146804] Loss_D: -0.020562 Loss_G: -0.007816 Loss_D_real: -0.009702 Loss_D_fake 0.010860
[1423/5000][50/535][146805] Loss_D: -0.019376 Loss_G: 0.018661 Loss_D_real: -0.026845 Loss_D_fake -0.007469
[1423/5000][55/535][146806] Loss_D: -0.020081 Loss_G: 0.016204 Loss_D_real: -0.028919 Loss_D_fake -0.008838
[1423/5000][60/535][146807] Loss_D: -0.020409 Loss_G: 0.002316 Loss_D_real: -0.016186 Loss_D_fake 0.004222
[1423/5000][65/535][146808] Loss_D: -0.020794 Loss_G: 0.011707 Loss_D_real: -0.017224 Loss_D_fake 0.003570
[1423/5000][70/535][146809] Loss_D: -0.018822 Loss_G: 0.019954 Loss_D_real: -0.029851 Loss_D_fake -0.011029
[1423/5000][75/535][146810] Loss_D: -0.019966 Loss_G: 0.012270 Loss_D_real: -0.032661 Loss_D_fake -0.012696
[1423/5000][80/535][146811] Loss_D: -0.019816 Loss_G: -0.008592 Loss_D_real: -0.003349 Loss_D_fake 0.016467
[1423/5000][85/535][146812] Loss_D: -0.019205 Loss_G: -0.003295 Loss_D_real: -0.019466 Loss_D_fake -0.000261
[1423/5000][90/535][146813] Loss_D: -0.019654 Loss_G: -0.005824 Loss_D_real: 0.000453 Loss_D_fake 0.020106
[1423/5000][95/535][146814] Loss_D: -0.019891 Loss_G: 0.008988 Loss_D_real: -0.022393 Loss_D_fake -0.002501
[1423/5000][100/535][146815] Loss_D: -0.019867 Loss_G: -0.012907 Loss_D_real: -0.010705 Loss_D_fake 0.009162
[1423/5000][105/535][146816] Loss_D: -0.018392 Loss_G: 0.010874 Loss_D_real: -0.017017 Loss_D_fake 0.001376
[1423/5000][110/535][146817] Loss_D: -0.019847 Loss_G: 0.010606 Loss_D_real: -0.015989 Loss_D_fake 0.003858
[1423/5000][115/535][146818] Loss_D: -0.020225 Loss_G: -0.003321 Loss_D_real: -0.012387 Loss_D_fake 0.007838
[1423/5000][120/535][146819] Loss_D: -0.018780 Loss_G: 0.016771 Loss_D_real: -0.023395 Loss_D_fake -0.004615
[1423/5000][125/535][146820] Loss_D: -0.019691 Loss_G: 0.018056 Loss_D_real: -0.018957 Loss_D_fake 0.000734
[1423/5000][130/535][146821] Loss_D: -0.020516 Loss_G: 0.008901 Loss_D_real: -0.020258 Loss_D_fake 0.000258
[1423/5000][135/535][146822] Loss_D: -0.019643 Loss_G: 0.005925 Loss_D_real: -0.015146 Loss_D_fake 0.004497
[1423/5000][140/535][146823] Loss_D: -0.020002 Loss_G: -0.002396 Loss_D_real: -0.008366 Loss_D_fake 0.011637
[1423/5000][145/535][146824] Loss_D: -0.019969 Loss_G: 0.011413 Loss_D_real: -0.019384 Loss_D_fake 0.000585
[1423/5000][150/535][146825] Loss_D: -0.017260 Loss_G: 0.031492 Loss_D_real: -0.031764 Loss_D_fake -0.014505
[1423/5000][155/535][146826] Loss_D: -0.018872 Loss_G: 0.012472 Loss_D_real: -0.022964 Loss_D_fake -0.004092
[1423/5000][160/535][146827] Loss_D: -0.019766 Loss_G: -0.004619 Loss_D_real: -0.018004 Loss_D_fake 0.001762
[1423/5000][165/535][146828] Loss_D: -0.019261 Loss_G: 0.011717 Loss_D_real: -0.015659 Loss_D_fake 0.003601
[1423/5000][170/535][146829] Loss_D: -0.019798 Loss_G: 0.017207 Loss_D_real: -0.020361 Loss_D_fake -0.000563
[1423/5000][175/535][146830] Loss_D: -0.019383 Loss_G: -0.001301 Loss_D_real: -0.017135 Loss_D_fake 0.002248
[1423/5000][180/535][146831] Loss_D: -0.020092 Loss_G: -0.001041 Loss_D_real: -0.013281 Loss_D_fake 0.006811
[1423/5000][185/535][146832] Loss_D: -0.018768 Loss_G: -0.000939 Loss_D_real: -0.011552 Loss_D_fake 0.007216
[1423/5000][190/535][146833] Loss_D: -0.018091 Loss_G: -0.023351 Loss_D_real: 0.007334 Loss_D_fake 0.025425
[1423/5000][195/535][146834] Loss_D: -0.020489 Loss_G: 0.007765 Loss_D_real: -0.000634 Loss_D_fake 0.019855
[1423/5000][200/535][146835] Loss_D: -0.021418 Loss_G: 0.009183 Loss_D_real: -0.006806 Loss_D_fake 0.014612
[1423/5000][205/535][146836] Loss_D: -0.020342 Loss_G: 0.019303 Loss_D_real: -0.026500 Loss_D_fake -0.006158
[1423/5000][210/535][146837] Loss_D: -0.019464 Loss_G: -0.003825 Loss_D_real: -0.017696 Loss_D_fake 0.001768
[1423/5000][215/535][146838] Loss_D: -0.020086 Loss_G: 0.031406 Loss_D_real: -0.031510 Loss_D_fake -0.011424
[1423/5000][220/535][146839] Loss_D: -0.020500 Loss_G: 0.003606 Loss_D_real: -0.014610 Loss_D_fake 0.005889
[1423/5000][225/535][146840] Loss_D: -0.018780 Loss_G: -0.010192 Loss_D_real: -0.000507 Loss_D_fake 0.018273
[1423/5000][230/535][146841] Loss_D: -0.019825 Loss_G: 0.030071 Loss_D_real: -0.027916 Loss_D_fake -0.008091
[1423/5000][235/535][146842] Loss_D: -0.021148 Loss_G: 0.003774 Loss_D_real: -0.019948 Loss_D_fake 0.001200
[1423/5000][240/535][146843] Loss_D: -0.020513 Loss_G: 0.003252 Loss_D_real: -0.006351 Loss_D_fake 0.014161
[1423/5000][245/535][146844] Loss_D: -0.020544 Loss_G: 0.011727 Loss_D_real: -0.008425 Loss_D_fake 0.012120
[1423/5000][250/535][146845] Loss_D: -0.019361 Loss_G: 0.021166 Loss_D_real: -0.041017 Loss_D_fake -0.021656
[1423/5000][255/535][146846] Loss_D: -0.020210 Loss_G: -0.005206 Loss_D_real: -0.013992 Loss_D_fake 0.006218
[1423/5000][260/535][146847] Loss_D: -0.018520 Loss_G: 0.025378 Loss_D_real: -0.028778 Loss_D_fake -0.010258
[1423/5000][265/535][146848] Loss_D: -0.019143 Loss_G: 0.017763 Loss_D_real: -0.027645 Loss_D_fake -0.008502
[1423/5000][270/535][146849] Loss_D: -0.020230 Loss_G: 0.012180 Loss_D_real: -0.019218 Loss_D_fake 0.001012
[1423/5000][275/535][146850] Loss_D: -0.020316 Loss_G: 0.013243 Loss_D_real: -0.021326 Loss_D_fake -0.001010
[1423/5000][280/535][146851] Loss_D: -0.018756 Loss_G: 0.020086 Loss_D_real: -0.035972 Loss_D_fake -0.017216
[1423/5000][285/535][146852] Loss_D: -0.020597 Loss_G: 0.009645 Loss_D_real: -0.003734 Loss_D_fake 0.016863
[1423/5000][290/535][146853] Loss_D: -0.018592 Loss_G: 0.015480 Loss_D_real: -0.003114 Loss_D_fake 0.015478
[1423/5000][295/535][146854] Loss_D: -0.020431 Loss_G: 0.007470 Loss_D_real: -0.025769 Loss_D_fake -0.005337
[1423/5000][300/535][146855] Loss_D: -0.020961 Loss_G: 0.003573 Loss_D_real: -0.016332 Loss_D_fake 0.004629
[1423/5000][305/535][146856] Loss_D: -0.019870 Loss_G: 0.003391 Loss_D_real: -0.027095 Loss_D_fake -0.007225
[1423/5000][310/535][146857] Loss_D: -0.018767 Loss_G: -0.008853 Loss_D_real: 0.000582 Loss_D_fake 0.019349
[1423/5000][315/535][146858] Loss_D: -0.019325 Loss_G: 0.015248 Loss_D_real: -0.011370 Loss_D_fake 0.007956
[1423/5000][320/535][146859] Loss_D: -0.019732 Loss_G: 0.011905 Loss_D_real: -0.017094 Loss_D_fake 0.002638
[1423/5000][325/535][146860] Loss_D: -0.020179 Loss_G: -0.002899 Loss_D_real: -0.014994 Loss_D_fake 0.005185
[1423/5000][330/535][146861] Loss_D: -0.019626 Loss_G: 0.015188 Loss_D_real: -0.021579 Loss_D_fake -0.001953
[1423/5000][335/535][146862] Loss_D: -0.019129 Loss_G: 0.001136 Loss_D_real: -0.016180 Loss_D_fake 0.002949
[1423/5000][340/535][146863] Loss_D: -0.020387 Loss_G: 0.027765 Loss_D_real: -0.018883 Loss_D_fake 0.001504
[1423/5000][345/535][146864] Loss_D: -0.020458 Loss_G: -0.005890 Loss_D_real: -0.011252 Loss_D_fake 0.009206
[1423/5000][350/535][146865] Loss_D: -0.019482 Loss_G: -0.007699 Loss_D_real: -0.018434 Loss_D_fake 0.001048
[1423/5000][355/535][146866] Loss_D: -0.019058 Loss_G: 0.012924 Loss_D_real: -0.032230 Loss_D_fake -0.013171
[1423/5000][360/535][146867] Loss_D: -0.020486 Loss_G: 0.019340 Loss_D_real: -0.009250 Loss_D_fake 0.011237
[1423/5000][365/535][146868] Loss_D: -0.018608 Loss_G: -0.015463 Loss_D_real: -0.005518 Loss_D_fake 0.013091
[1423/5000][370/535][146869] Loss_D: -0.021310 Loss_G: 0.023589 Loss_D_real: -0.018476 Loss_D_fake 0.002834
[1423/5000][375/535][146870] Loss_D: -0.019839 Loss_G: 0.008366 Loss_D_real: -0.011261 Loss_D_fake 0.008578
[1423/5000][380/535][146871] Loss_D: -0.019467 Loss_G: -0.007021 Loss_D_real: -0.010626 Loss_D_fake 0.008841
[1423/5000][385/535][146872] Loss_D: -0.019430 Loss_G: 0.018159 Loss_D_real: -0.020956 Loss_D_fake -0.001526
[1423/5000][390/535][146873] Loss_D: -0.022972 Loss_G: 0.001775 Loss_D_real: -0.013680 Loss_D_fake 0.009291
[1423/5000][395/535][146874] Loss_D: -0.019650 Loss_G: 0.028959 Loss_D_real: -0.029276 Loss_D_fake -0.009626
[1423/5000][400/535][146875] Loss_D: -0.021993 Loss_G: -0.001046 Loss_D_real: -0.015379 Loss_D_fake 0.006614
[1423/5000][405/535][146876] Loss_D: -0.017959 Loss_G: 0.037857 Loss_D_real: -0.034031 Loss_D_fake -0.016071
[1423/5000][410/535][146877] Loss_D: -0.020241 Loss_G: -0.004879 Loss_D_real: -0.025108 Loss_D_fake -0.004867
[1423/5000][415/535][146878] Loss_D: -0.019300 Loss_G: 0.028012 Loss_D_real: -0.021461 Loss_D_fake -0.002160
[1423/5000][420/535][146879] Loss_D: -0.020469 Loss_G: -0.004752 Loss_D_real: -0.014566 Loss_D_fake 0.005902
[1423/5000][425/535][146880] Loss_D: -0.020508 Loss_G: -0.003922 Loss_D_real: -0.004943 Loss_D_fake 0.015565
[1423/5000][430/535][146881] Loss_D: -0.019846 Loss_G: 0.020597 Loss_D_real: -0.016261 Loss_D_fake 0.003585
[1423/5000][435/535][146882] Loss_D: -0.020452 Loss_G: -0.000376 Loss_D_real: -0.005525 Loss_D_fake 0.014926
[1423/5000][440/535][146883] Loss_D: -0.019875 Loss_G: -0.012987 Loss_D_real: -0.013605 Loss_D_fake 0.006270
[1423/5000][445/535][146884] Loss_D: -0.020594 Loss_G: 0.019362 Loss_D_real: -0.023268 Loss_D_fake -0.002674
[1423/5000][450/535][146885] Loss_D: -0.019994 Loss_G: 0.024396 Loss_D_real: -0.008985 Loss_D_fake 0.011008
[1423/5000][455/535][146886] Loss_D: -0.019161 Loss_G: -0.001330 Loss_D_real: -0.020024 Loss_D_fake -0.000863
[1423/5000][460/535][146887] Loss_D: -0.020281 Loss_G: 0.016726 Loss_D_real: -0.019188 Loss_D_fake 0.001093
[1423/5000][465/535][146888] Loss_D: -0.020173 Loss_G: -0.010611 Loss_D_real: -0.007172 Loss_D_fake 0.013001
[1423/5000][470/535][146889] Loss_D: -0.018887 Loss_G: 0.026338 Loss_D_real: -0.022181 Loss_D_fake -0.003294
[1423/5000][475/535][146890] Loss_D: -0.020478 Loss_G: 0.008008 Loss_D_real: -0.016254 Loss_D_fake 0.004225
[1423/5000][480/535][146891] Loss_D: -0.020597 Loss_G: 0.006035 Loss_D_real: -0.020611 Loss_D_fake -0.000014
[1423/5000][485/535][146892] Loss_D: -0.019917 Loss_G: 0.015675 Loss_D_real: -0.034514 Loss_D_fake -0.014597
[1423/5000][490/535][146893] Loss_D: -0.020037 Loss_G: -0.001668 Loss_D_real: -0.019258 Loss_D_fake 0.000779
[1423/5000][495/535][146894] Loss_D: -0.020618 Loss_G: 0.010281 Loss_D_real: -0.009784 Loss_D_fake 0.010834
[1423/5000][500/535][146895] Loss_D: -0.020482 Loss_G: 0.011567 Loss_D_real: -0.013370 Loss_D_fake 0.007113
[1423/5000][505/535][146896] Loss_D: -0.019748 Loss_G: 0.019986 Loss_D_real: -0.024746 Loss_D_fake -0.004998
[1423/5000][510/535][146897] Loss_D: -0.020957 Loss_G: -0.001435 Loss_D_real: -0.004600 Loss_D_fake 0.016357
[1423/5000][515/535][146898] Loss_D: -0.017997 Loss_G: -0.016789 Loss_D_real: 0.002088 Loss_D_fake 0.020085
[1423/5000][520/535][146899] Loss_D: -0.020354 Loss_G: 0.001423 Loss_D_real: -0.005657 Loss_D_fake 0.014697
[1423/5000][525/535][146900] Loss_D: -0.018333 Loss_G: 0.027277 Loss_D_real: -0.028170 Loss_D_fake -0.009837
[1423/5000][530/535][146901] Loss_D: -0.020136 Loss_G: 0.005095 Loss_D_real: -0.020689 Loss_D_fake -0.000553
[1423/5000][535/535][146902] Loss_D: -0.019219 Loss_G: -0.024910 Loss_D_real: -0.016523 Loss_D_fake 0.002696
[1424/5000][5/535][146903] Loss_D: -0.020703 Loss_G: 0.002557 Loss_D_real: -0.016203 Loss_D_fake 0.004500
[1424/5000][10/535][146904] Loss_D: -0.017947 Loss_G: -0.011709 Loss_D_real: -0.000473 Loss_D_fake 0.017474
[1424/5000][15/535][146905] Loss_D: -0.018675 Loss_G: 0.015938 Loss_D_real: -0.019320 Loss_D_fake -0.000645
[1424/5000][20/535][146906] Loss_D: -0.019012 Loss_G: 0.005590 Loss_D_real: -0.015411 Loss_D_fake 0.003600
[1424/5000][25/535][146907] Loss_D: -0.018110 Loss_G: 0.015280 Loss_D_real: -0.034098 Loss_D_fake -0.015987
[1424/5000][30/535][146908] Loss_D: -0.020153 Loss_G: -0.001823 Loss_D_real: -0.010198 Loss_D_fake 0.009956
[1424/5000][35/535][146909] Loss_D: -0.020177 Loss_G: 0.012860 Loss_D_real: 0.001157 Loss_D_fake 0.021334
[1424/5000][40/535][146910] Loss_D: -0.019308 Loss_G: 0.013944 Loss_D_real: -0.026249 Loss_D_fake -0.006941
[1424/5000][45/535][146911] Loss_D: -0.020092 Loss_G: -0.003022 Loss_D_real: -0.017226 Loss_D_fake 0.002866
[1424/5000][50/535][146912] Loss_D: -0.020751 Loss_G: -0.012961 Loss_D_real: -0.008328 Loss_D_fake 0.012423
[1424/5000][55/535][146913] Loss_D: -0.019852 Loss_G: 0.017435 Loss_D_real: -0.031873 Loss_D_fake -0.012022
[1424/5000][60/535][146914] Loss_D: -0.019356 Loss_G: -0.000906 Loss_D_real: -0.008630 Loss_D_fake 0.010725
[1424/5000][65/535][146915] Loss_D: -0.019999 Loss_G: 0.023072 Loss_D_real: -0.019216 Loss_D_fake 0.000783
[1424/5000][70/535][146916] Loss_D: -0.020030 Loss_G: 0.002944 Loss_D_real: -0.006575 Loss_D_fake 0.013456
[1424/5000][75/535][146917] Loss_D: -0.020450 Loss_G: 0.015930 Loss_D_real: -0.014020 Loss_D_fake 0.006430
[1424/5000][80/535][146918] Loss_D: -0.019540 Loss_G: -0.009821 Loss_D_real: -0.011120 Loss_D_fake 0.008420
[1424/5000][85/535][146919] Loss_D: -0.020604 Loss_G: 0.015543 Loss_D_real: -0.018711 Loss_D_fake 0.001893
[1424/5000][90/535][146920] Loss_D: -0.018399 Loss_G: -0.020110 Loss_D_real: -0.000842 Loss_D_fake 0.017557
[1424/5000][95/535][146921] Loss_D: -0.020133 Loss_G: 0.004378 Loss_D_real: -0.008513 Loss_D_fake 0.011619
[1424/5000][100/535][146922] Loss_D: -0.019428 Loss_G: 0.025686 Loss_D_real: -0.030928 Loss_D_fake -0.011500
[1424/5000][105/535][146923] Loss_D: -0.018963 Loss_G: 0.014747 Loss_D_real: -0.023633 Loss_D_fake -0.004670
[1424/5000][110/535][146924] Loss_D: -0.018495 Loss_G: -0.016127 Loss_D_real: 0.005986 Loss_D_fake 0.024480
[1424/5000][115/535][146925] Loss_D: -0.018051 Loss_G: 0.034680 Loss_D_real: -0.033439 Loss_D_fake -0.015388
[1424/5000][120/535][146926] Loss_D: -0.019373 Loss_G: 0.014594 Loss_D_real: -0.017033 Loss_D_fake 0.002340
[1424/5000][125/535][146927] Loss_D: -0.020090 Loss_G: 0.000847 Loss_D_real: -0.007043 Loss_D_fake 0.013047
[1424/5000][130/535][146928] Loss_D: -0.020143 Loss_G: 0.000690 Loss_D_real: -0.009714 Loss_D_fake 0.010429
[1424/5000][135/535][146929] Loss_D: -0.020702 Loss_G: 0.007985 Loss_D_real: -0.023965 Loss_D_fake -0.003263
[1424/5000][140/535][146930] Loss_D: -0.021047 Loss_G: 0.020310 Loss_D_real: -0.019039 Loss_D_fake 0.002008
[1424/5000][145/535][146931] Loss_D: -0.021162 Loss_G: 0.017701 Loss_D_real: -0.023902 Loss_D_fake -0.002740
[1424/5000][150/535][146932] Loss_D: -0.020226 Loss_G: 0.005946 Loss_D_real: -0.017197 Loss_D_fake 0.003029
[1424/5000][155/535][146933] Loss_D: -0.021110 Loss_G: 0.000979 Loss_D_real: -0.007464 Loss_D_fake 0.013646
[1424/5000][160/535][146934] Loss_D: -0.019087 Loss_G: 0.023884 Loss_D_real: -0.037297 Loss_D_fake -0.018211
[1424/5000][165/535][146935] Loss_D: -0.020053 Loss_G: -0.009363 Loss_D_real: -0.001994 Loss_D_fake 0.018059
[1424/5000][170/535][146936] Loss_D: -0.019969 Loss_G: 0.006586 Loss_D_real: -0.019411 Loss_D_fake 0.000558
[1424/5000][175/535][146937] Loss_D: -0.021907 Loss_G: -0.002475 Loss_D_real: -0.005374 Loss_D_fake 0.016533
[1424/5000][180/535][146938] Loss_D: -0.019246 Loss_G: 0.017906 Loss_D_real: -0.012937 Loss_D_fake 0.006309
[1424/5000][185/535][146939] Loss_D: -0.019969 Loss_G: 0.005081 Loss_D_real: -0.014239 Loss_D_fake 0.005731
[1424/5000][190/535][146940] Loss_D: -0.019475 Loss_G: 0.011643 Loss_D_real: -0.022167 Loss_D_fake -0.002693
[1424/5000][195/535][146941] Loss_D: -0.020633 Loss_G: 0.011441 Loss_D_real: -0.001216 Loss_D_fake 0.019417
[1424/5000][200/535][146942] Loss_D: -0.020038 Loss_G: 0.004949 Loss_D_real: -0.001883 Loss_D_fake 0.018156
[1424/5000][205/535][146943] Loss_D: -0.019224 Loss_G: 0.020431 Loss_D_real: -0.027109 Loss_D_fake -0.007885
[1424/5000][210/535][146944] Loss_D: -0.020159 Loss_G: 0.001801 Loss_D_real: -0.019301 Loss_D_fake 0.000859
[1424/5000][215/535][146945] Loss_D: -0.020358 Loss_G: 0.020360 Loss_D_real: -0.032446 Loss_D_fake -0.012088
[1424/5000][220/535][146946] Loss_D: -0.019147 Loss_G: 0.020479 Loss_D_real: -0.024654 Loss_D_fake -0.005507
[1424/5000][225/535][146947] Loss_D: -0.020690 Loss_G: 0.008029 Loss_D_real: -0.018151 Loss_D_fake 0.002539
[1424/5000][230/535][146948] Loss_D: -0.021875 Loss_G: 0.001521 Loss_D_real: -0.015775 Loss_D_fake 0.006099
[1424/5000][235/535][146949] Loss_D: -0.018367 Loss_G: 0.030506 Loss_D_real: -0.030189 Loss_D_fake -0.011822
[1424/5000][240/535][146950] Loss_D: -0.019222 Loss_G: 0.007824 Loss_D_real: -0.023652 Loss_D_fake -0.004430
[1424/5000][245/535][146951] Loss_D: -0.019936 Loss_G: 0.007300 Loss_D_real: -0.004225 Loss_D_fake 0.015711
[1424/5000][250/535][146952] Loss_D: -0.019933 Loss_G: 0.007015 Loss_D_real: -0.019385 Loss_D_fake 0.000549
[1424/5000][255/535][146953] Loss_D: -0.020008 Loss_G: 0.015286 Loss_D_real: -0.018640 Loss_D_fake 0.001368
[1424/5000][260/535][146954] Loss_D: -0.019958 Loss_G: -0.002532 Loss_D_real: -0.001839 Loss_D_fake 0.018119
[1424/5000][265/535][146955] Loss_D: -0.019487 Loss_G: 0.000943 Loss_D_real: -0.015200 Loss_D_fake 0.004287
[1424/5000][270/535][146956] Loss_D: -0.019535 Loss_G: 0.012802 Loss_D_real: -0.028362 Loss_D_fake -0.008827
[1424/5000][275/535][146957] Loss_D: -0.019812 Loss_G: 0.008891 Loss_D_real: -0.027735 Loss_D_fake -0.007923
[1424/5000][280/535][146958] Loss_D: -0.020006 Loss_G: 0.009453 Loss_D_real: -0.012803 Loss_D_fake 0.007203
[1424/5000][285/535][146959] Loss_D: -0.020992 Loss_G: -0.000184 Loss_D_real: -0.010810 Loss_D_fake 0.010182
[1424/5000][290/535][146960] Loss_D: -0.019099 Loss_G: 0.005523 Loss_D_real: -0.010721 Loss_D_fake 0.008378
[1424/5000][295/535][146961] Loss_D: -0.019183 Loss_G: 0.020201 Loss_D_real: -0.020022 Loss_D_fake -0.000839
[1424/5000][300/535][146962] Loss_D: -0.019504 Loss_G: 0.014890 Loss_D_real: -0.023680 Loss_D_fake -0.004176
[1424/5000][305/535][146963] Loss_D: -0.019124 Loss_G: 0.002757 Loss_D_real: -0.006702 Loss_D_fake 0.012422
[1424/5000][310/535][146964] Loss_D: -0.019581 Loss_G: -0.015725 Loss_D_real: 0.000019 Loss_D_fake 0.019600
[1424/5000][315/535][146965] Loss_D: -0.019956 Loss_G: 0.019347 Loss_D_real: -0.026341 Loss_D_fake -0.006385
[1424/5000][320/535][146966] Loss_D: -0.019465 Loss_G: 0.000944 Loss_D_real: -0.021525 Loss_D_fake -0.002060
[1424/5000][325/535][146967] Loss_D: -0.019195 Loss_G: -0.000217 Loss_D_real: -0.018382 Loss_D_fake 0.000813
[1424/5000][330/535][146968] Loss_D: -0.019204 Loss_G: 0.001129 Loss_D_real: -0.022165 Loss_D_fake -0.002961
[1424/5000][335/535][146969] Loss_D: -0.019360 Loss_G: 0.006692 Loss_D_real: -0.006209 Loss_D_fake 0.013151
[1424/5000][340/535][146970] Loss_D: -0.019733 Loss_G: 0.002644 Loss_D_real: -0.008097 Loss_D_fake 0.011637
[1424/5000][345/535][146971] Loss_D: -0.019762 Loss_G: 0.002334 Loss_D_real: -0.008855 Loss_D_fake 0.010906
[1424/5000][350/535][146972] Loss_D: -0.019019 Loss_G: 0.017300 Loss_D_real: -0.028301 Loss_D_fake -0.009283
[1424/5000][355/535][146973] Loss_D: -0.020539 Loss_G: 0.018684 Loss_D_real: -0.025268 Loss_D_fake -0.004730
[1424/5000][360/535][146974] Loss_D: -0.019292 Loss_G: 0.006967 Loss_D_real: -0.017746 Loss_D_fake 0.001546
[1424/5000][365/535][146975] Loss_D: -0.019443 Loss_G: 0.007803 Loss_D_real: -0.029579 Loss_D_fake -0.010135
[1424/5000][370/535][146976] Loss_D: -0.019633 Loss_G: 0.007733 Loss_D_real: -0.014993 Loss_D_fake 0.004640
[1424/5000][375/535][146977] Loss_D: -0.018831 Loss_G: -0.014612 Loss_D_real: 0.017167 Loss_D_fake 0.035998
[1424/5000][380/535][146978] Loss_D: -0.019442 Loss_G: 0.017479 Loss_D_real: -0.022186 Loss_D_fake -0.002744
[1424/5000][385/535][146979] Loss_D: -0.019431 Loss_G: 0.016635 Loss_D_real: -0.021181 Loss_D_fake -0.001750
[1424/5000][390/535][146980] Loss_D: -0.019754 Loss_G: 0.009818 Loss_D_real: -0.015154 Loss_D_fake 0.004600
[1424/5000][395/535][146981] Loss_D: -0.019912 Loss_G: -0.000178 Loss_D_real: -0.012685 Loss_D_fake 0.007227
[1424/5000][400/535][146982] Loss_D: -0.019134 Loss_G: 0.021287 Loss_D_real: -0.031767 Loss_D_fake -0.012633
[1424/5000][405/535][146983] Loss_D: -0.021503 Loss_G: 0.009736 Loss_D_real: -0.025192 Loss_D_fake -0.003689
[1424/5000][410/535][146984] Loss_D: -0.020181 Loss_G: 0.007544 Loss_D_real: -0.012545 Loss_D_fake 0.007636
[1424/5000][415/535][146985] Loss_D: -0.019211 Loss_G: 0.005663 Loss_D_real: -0.015745 Loss_D_fake 0.003466
[1424/5000][420/535][146986] Loss_D: -0.020240 Loss_G: -0.001124 Loss_D_real: -0.009404 Loss_D_fake 0.010837
[1424/5000][425/535][146987] Loss_D: -0.017877 Loss_G: 0.028371 Loss_D_real: -0.036620 Loss_D_fake -0.018744
[1424/5000][430/535][146988] Loss_D: -0.019335 Loss_G: -0.000480 Loss_D_real: -0.013046 Loss_D_fake 0.006289
[1424/5000][435/535][146989] Loss_D: -0.019550 Loss_G: -0.001266 Loss_D_real: -0.020684 Loss_D_fake -0.001134
[1424/5000][440/535][146990] Loss_D: -0.019020 Loss_G: 0.020767 Loss_D_real: -0.026161 Loss_D_fake -0.007141
[1424/5000][445/535][146991] Loss_D: -0.019749 Loss_G: -0.014153 Loss_D_real: 0.005130 Loss_D_fake 0.024880
[1424/5000][450/535][146992] Loss_D: -0.018972 Loss_G: -0.016622 Loss_D_real: -0.006170 Loss_D_fake 0.012802
[1424/5000][455/535][146993] Loss_D: -0.020384 Loss_G: 0.008969 Loss_D_real: -0.017149 Loss_D_fake 0.003235
[1424/5000][460/535][146994] Loss_D: -0.019490 Loss_G: 0.008181 Loss_D_real: 0.009504 Loss_D_fake 0.028994
[1424/5000][465/535][146995] Loss_D: -0.019423 Loss_G: 0.011602 Loss_D_real: -0.021384 Loss_D_fake -0.001962
[1424/5000][470/535][146996] Loss_D: -0.019732 Loss_G: 0.011548 Loss_D_real: -0.030050 Loss_D_fake -0.010318
[1424/5000][475/535][146997] Loss_D: -0.020929 Loss_G: 0.007371 Loss_D_real: -0.015316 Loss_D_fake 0.005613
[1424/5000][480/535][146998] Loss_D: -0.018558 Loss_G: 0.016004 Loss_D_real: -0.023988 Loss_D_fake -0.005430
[1424/5000][485/535][146999] Loss_D: -0.021324 Loss_G: 0.013622 Loss_D_real: -0.020132 Loss_D_fake 0.001192
[1424/5000][490/535][147000] Loss_D: -0.020245 Loss_G: 0.013086 Loss_D_real: -0.019404 Loss_D_fake 0.000841
[1424/5000][535/535][147001] Loss_D: -0.019733 Loss_G: -0.008399 Loss_D_real: -0.007925 Loss_D_fake 0.011808
[1425/5000][5/535][147002] Loss_D: -0.021816 Loss_G: 0.019036 Loss_D_real: -0.005479 Loss_D_fake 0.016337
[1425/5000][10/535][147003] Loss_D: -0.020460 Loss_G: 0.022318 Loss_D_real: -0.021172 Loss_D_fake -0.000712
[1425/5000][15/535][147004] Loss_D: -0.021046 Loss_G: 0.013565 Loss_D_real: -0.026255 Loss_D_fake -0.005208
[1425/5000][20/535][147005] Loss_D: -0.020523 Loss_G: 0.020371 Loss_D_real: -0.026936 Loss_D_fake -0.006413
[1425/5000][25/535][147006] Loss_D: -0.020984 Loss_G: 0.006405 Loss_D_real: -0.023857 Loss_D_fake -0.002872
[1425/5000][30/535][147007] Loss_D: -0.019295 Loss_G: 0.012703 Loss_D_real: -0.029083 Loss_D_fake -0.009787
[1425/5000][35/535][147008] Loss_D: -0.019546 Loss_G: 0.003465 Loss_D_real: -0.012205 Loss_D_fake 0.007341
[1425/5000][40/535][147009] Loss_D: -0.020266 Loss_G: 0.016622 Loss_D_real: -0.003421 Loss_D_fake 0.016845
[1425/5000][45/535][147010] Loss_D: -0.018156 Loss_G: -0.015879 Loss_D_real: -0.007878 Loss_D_fake 0.010278
[1425/5000][50/535][147011] Loss_D: -0.019188 Loss_G: 0.012547 Loss_D_real: -0.015776 Loss_D_fake 0.003412
[1425/5000][55/535][147012] Loss_D: -0.020312 Loss_G: 0.006005 Loss_D_real: -0.019009 Loss_D_fake 0.001303
[1425/5000][60/535][147013] Loss_D: -0.020348 Loss_G: 0.017821 Loss_D_real: -0.023635 Loss_D_fake -0.003287
[1425/5000][65/535][147014] Loss_D: -0.020094 Loss_G: 0.016127 Loss_D_real: -0.022402 Loss_D_fake -0.002308
[1425/5000][70/535][147015] Loss_D: -0.020044 Loss_G: 0.013204 Loss_D_real: -0.024489 Loss_D_fake -0.004445
[1425/5000][75/535][147016] Loss_D: -0.019475 Loss_G: -0.010621 Loss_D_real: -0.010825 Loss_D_fake 0.008650
[1425/5000][80/535][147017] Loss_D: -0.019628 Loss_G: -0.003084 Loss_D_real: -0.006148 Loss_D_fake 0.013480
[1425/5000][85/535][147018] Loss_D: -0.019795 Loss_G: 0.015699 Loss_D_real: -0.019121 Loss_D_fake 0.000674
[1425/5000][90/535][147019] Loss_D: -0.019315 Loss_G: 0.005116 Loss_D_real: -0.023436 Loss_D_fake -0.004122
[1425/5000][95/535][147020] Loss_D: -0.020326 Loss_G: 0.017424 Loss_D_real: -0.018038 Loss_D_fake 0.002288
[1425/5000][100/535][147021] Loss_D: -0.020044 Loss_G: -0.005767 Loss_D_real: -0.012590 Loss_D_fake 0.007453
[1425/5000][105/535][147022] Loss_D: -0.019276 Loss_G: 0.004071 Loss_D_real: -0.006898 Loss_D_fake 0.012379
[1425/5000][110/535][147023] Loss_D: -0.020330 Loss_G: -0.005343 Loss_D_real: -0.015540 Loss_D_fake 0.004790
[1425/5000][115/535][147024] Loss_D: -0.019544 Loss_G: 0.022414 Loss_D_real: -0.030776 Loss_D_fake -0.011232
[1425/5000][120/535][147025] Loss_D: -0.020694 Loss_G: 0.002675 Loss_D_real: -0.011269 Loss_D_fake 0.009425
[1425/5000][125/535][147026] Loss_D: -0.019976 Loss_G: 0.002230 Loss_D_real: -0.008210 Loss_D_fake 0.011766
[1425/5000][130/535][147027] Loss_D: -0.018560 Loss_G: 0.017242 Loss_D_real: -0.015881 Loss_D_fake 0.002680
[1425/5000][135/535][147028] Loss_D: -0.019876 Loss_G: -0.006276 Loss_D_real: -0.015886 Loss_D_fake 0.003990
[1425/5000][140/535][147029] Loss_D: -0.019932 Loss_G: 0.007707 Loss_D_real: -0.013551 Loss_D_fake 0.006381
[1425/5000][145/535][147030] Loss_D: -0.020268 Loss_G: 0.015889 Loss_D_real: -0.026120 Loss_D_fake -0.005853
[1425/5000][150/535][147031] Loss_D: -0.020696 Loss_G: 0.012199 Loss_D_real: -0.013805 Loss_D_fake 0.006891
[1425/5000][155/535][147032] Loss_D: -0.020069 Loss_G: 0.004426 Loss_D_real: -0.016204 Loss_D_fake 0.003864
[1425/5000][160/535][147033] Loss_D: -0.019571 Loss_G: 0.026138 Loss_D_real: -0.021044 Loss_D_fake -0.001473
[1425/5000][165/535][147034] Loss_D: -0.019832 Loss_G: 0.005289 Loss_D_real: -0.002753 Loss_D_fake 0.017079
[1425/5000][170/535][147035] Loss_D: -0.021622 Loss_G: 0.005307 Loss_D_real: -0.017657 Loss_D_fake 0.003966
[1425/5000][175/535][147036] Loss_D: -0.018466 Loss_G: -0.015889 Loss_D_real: 0.005595 Loss_D_fake 0.024061
[1425/5000][180/535][147037] Loss_D: -0.018256 Loss_G: 0.023491 Loss_D_real: -0.040290 Loss_D_fake -0.022034
[1425/5000][185/535][147038] Loss_D: -0.019016 Loss_G: 0.010418 Loss_D_real: 0.009762 Loss_D_fake 0.028778
[1425/5000][190/535][147039] Loss_D: -0.020745 Loss_G: 0.009164 Loss_D_real: -0.007473 Loss_D_fake 0.013273
[1425/5000][195/535][147040] Loss_D: -0.019284 Loss_G: 0.003809 Loss_D_real: -0.004024 Loss_D_fake 0.015260
[1425/5000][200/535][147041] Loss_D: -0.019042 Loss_G: -0.009712 Loss_D_real: -0.007796 Loss_D_fake 0.011246
[1425/5000][205/535][147042] Loss_D: -0.019937 Loss_G: 0.006830 Loss_D_real: -0.014964 Loss_D_fake 0.004972
[1425/5000][210/535][147043] Loss_D: -0.019732 Loss_G: -0.001801 Loss_D_real: -0.004665 Loss_D_fake 0.015067
[1425/5000][215/535][147044] Loss_D: -0.019695 Loss_G: 0.007170 Loss_D_real: -0.009886 Loss_D_fake 0.009809
[1425/5000][220/535][147045] Loss_D: -0.016714 Loss_G: 0.033831 Loss_D_real: -0.036826 Loss_D_fake -0.020113
[1425/5000][225/535][147046] Loss_D: -0.020039 Loss_G: 0.009341 Loss_D_real: -0.012159 Loss_D_fake 0.007880
[1425/5000][230/535][147047] Loss_D: -0.020374 Loss_G: 0.011665 Loss_D_real: -0.025594 Loss_D_fake -0.005219
[1425/5000][235/535][147048] Loss_D: -0.019658 Loss_G: 0.018741 Loss_D_real: -0.030125 Loss_D_fake -0.010467
[1425/5000][240/535][147049] Loss_D: -0.019796 Loss_G: 0.020952 Loss_D_real: -0.021936 Loss_D_fake -0.002140
[1425/5000][245/535][147050] Loss_D: -0.020653 Loss_G: -0.013737 Loss_D_real: -0.000937 Loss_D_fake 0.019717
[1425/5000][250/535][147051] Loss_D: -0.018357 Loss_G: 0.008855 Loss_D_real: -0.006554 Loss_D_fake 0.011803
[1425/5000][255/535][147052] Loss_D: -0.019130 Loss_G: -0.004285 Loss_D_real: -0.014386 Loss_D_fake 0.004744
[1425/5000][260/535][147053] Loss_D: -0.020803 Loss_G: 0.009173 Loss_D_real: -0.015155 Loss_D_fake 0.005648
[1425/5000][265/535][147054] Loss_D: -0.020079 Loss_G: 0.013914 Loss_D_real: -0.023170 Loss_D_fake -0.003091
[1425/5000][270/535][147055] Loss_D: -0.019994 Loss_G: 0.017763 Loss_D_real: -0.020480 Loss_D_fake -0.000486
[1425/5000][275/535][147056] Loss_D: -0.022114 Loss_G: -0.000745 Loss_D_real: -0.029043 Loss_D_fake -0.006930
[1425/5000][280/535][147057] Loss_D: -0.020588 Loss_G: -0.001484 Loss_D_real: -0.009156 Loss_D_fake 0.011432
[1425/5000][285/535][147058] Loss_D: -0.020171 Loss_G: -0.014492 Loss_D_real: -0.002933 Loss_D_fake 0.017238
[1425/5000][290/535][147059] Loss_D: -0.019671 Loss_G: -0.003579 Loss_D_real: -0.023263 Loss_D_fake -0.003592
[1425/5000][295/535][147060] Loss_D: -0.021502 Loss_G: 0.008819 Loss_D_real: -0.022867 Loss_D_fake -0.001365
[1425/5000][300/535][147061] Loss_D: -0.020197 Loss_G: 0.013446 Loss_D_real: -0.023339 Loss_D_fake -0.003141
[1425/5000][305/535][147062] Loss_D: -0.020181 Loss_G: 0.005919 Loss_D_real: -0.010078 Loss_D_fake 0.010102
[1425/5000][310/535][147063] Loss_D: -0.020831 Loss_G: 0.010004 Loss_D_real: -0.022557 Loss_D_fake -0.001725
[1425/5000][315/535][147064] Loss_D: -0.020992 Loss_G: 0.007052 Loss_D_real: -0.014625 Loss_D_fake 0.006367
[1425/5000][320/535][147065] Loss_D: -0.019939 Loss_G: 0.022834 Loss_D_real: -0.030711 Loss_D_fake -0.010771
[1425/5000][325/535][147066] Loss_D: -0.020859 Loss_G: -0.001414 Loss_D_real: -0.011630 Loss_D_fake 0.009229
[1425/5000][330/535][147067] Loss_D: -0.018176 Loss_G: -0.013027 Loss_D_real: 0.003278 Loss_D_fake 0.021455
[1425/5000][335/535][147068] Loss_D: -0.022472 Loss_G: -0.013924 Loss_D_real: -0.018069 Loss_D_fake 0.004404
[1425/5000][340/535][147069] Loss_D: -0.018982 Loss_G: 0.018362 Loss_D_real: -0.016032 Loss_D_fake 0.002951
[1425/5000][345/535][147070] Loss_D: -0.019452 Loss_G: 0.013380 Loss_D_real: -0.022094 Loss_D_fake -0.002641
[1425/5000][350/535][147071] Loss_D: -0.019668 Loss_G: 0.007828 Loss_D_real: -0.010120 Loss_D_fake 0.009548
[1425/5000][355/535][147072] Loss_D: -0.020215 Loss_G: 0.024486 Loss_D_real: -0.027475 Loss_D_fake -0.007260
[1425/5000][360/535][147073] Loss_D: -0.019546 Loss_G: -0.004743 Loss_D_real: -0.007162 Loss_D_fake 0.012385
[1425/5000][365/535][147074] Loss_D: -0.019377 Loss_G: 0.010371 Loss_D_real: -0.019836 Loss_D_fake -0.000459
[1425/5000][370/535][147075] Loss_D: -0.018754 Loss_G: -0.007705 Loss_D_real: -0.007592 Loss_D_fake 0.011162
[1425/5000][375/535][147076] Loss_D: -0.018925 Loss_G: 0.009653 Loss_D_real: -0.010643 Loss_D_fake 0.008282
[1425/5000][380/535][147077] Loss_D: -0.019252 Loss_G: 0.011964 Loss_D_real: -0.017558 Loss_D_fake 0.001694
[1425/5000][385/535][147078] Loss_D: -0.018214 Loss_G: -0.016559 Loss_D_real: 0.001403 Loss_D_fake 0.019617
[1425/5000][390/535][147079] Loss_D: -0.019302 Loss_G: -0.006717 Loss_D_real: -0.018038 Loss_D_fake 0.001264
[1425/5000][395/535][147080] Loss_D: -0.018871 Loss_G: 0.016110 Loss_D_real: -0.009266 Loss_D_fake 0.009605
[1425/5000][400/535][147081] Loss_D: -0.019083 Loss_G: 0.009001 Loss_D_real: -0.016304 Loss_D_fake 0.002779
[1425/5000][405/535][147082] Loss_D: -0.019374 Loss_G: 0.020473 Loss_D_real: -0.031205 Loss_D_fake -0.011831
[1425/5000][410/535][147083] Loss_D: -0.018290 Loss_G: 0.018670 Loss_D_real: -0.027222 Loss_D_fake -0.008932
[1425/5000][415/535][147084] Loss_D: -0.021159 Loss_G: -0.009576 Loss_D_real: -0.004347 Loss_D_fake 0.016812
[1425/5000][420/535][147085] Loss_D: -0.019797 Loss_G: -0.002464 Loss_D_real: 0.001043 Loss_D_fake 0.020840
[1425/5000][425/535][147086] Loss_D: -0.020564 Loss_G: 0.007076 Loss_D_real: -0.029816 Loss_D_fake -0.009252
[1425/5000][430/535][147087] Loss_D: -0.019595 Loss_G: -0.007476 Loss_D_real: -0.017046 Loss_D_fake 0.002549
[1425/5000][435/535][147088] Loss_D: -0.019416 Loss_G: 0.026426 Loss_D_real: -0.016641 Loss_D_fake 0.002776
[1425/5000][440/535][147089] Loss_D: -0.017981 Loss_G: -0.018696 Loss_D_real: 0.002715 Loss_D_fake 0.020697
[1425/5000][445/535][147090] Loss_D: -0.019091 Loss_G: -0.009157 Loss_D_real: -0.008133 Loss_D_fake 0.010958
[1425/5000][450/535][147091] Loss_D: -0.019944 Loss_G: 0.017053 Loss_D_real: -0.025749 Loss_D_fake -0.005805
[1425/5000][455/535][147092] Loss_D: -0.020976 Loss_G: 0.018098 Loss_D_real: -0.027558 Loss_D_fake -0.006582
[1425/5000][460/535][147093] Loss_D: -0.020094 Loss_G: 0.017108 Loss_D_real: -0.020068 Loss_D_fake 0.000026
[1425/5000][465/535][147094] Loss_D: -0.019622 Loss_G: 0.021653 Loss_D_real: -0.034615 Loss_D_fake -0.014993
[1425/5000][470/535][147095] Loss_D: -0.020209 Loss_G: -0.005338 Loss_D_real: -0.019429 Loss_D_fake 0.000780
[1425/5000][475/535][147096] Loss_D: -0.021432 Loss_G: 0.002853 Loss_D_real: 0.000101 Loss_D_fake 0.021533
[1425/5000][480/535][147097] Loss_D: -0.019278 Loss_G: 0.002707 Loss_D_real: -0.023343 Loss_D_fake -0.004065
[1425/5000][485/535][147098] Loss_D: -0.020551 Loss_G: -0.015281 Loss_D_real: -0.007587 Loss_D_fake 0.012963
[1425/5000][490/535][147099] Loss_D: -0.020411 Loss_G: 0.003489 Loss_D_real: -0.009339 Loss_D_fake 0.011072
[1425/5000][495/535][147100] Loss_D: -0.020139 Loss_G: 0.007748 Loss_D_real: -0.030892 Loss_D_fake -0.010753
[1425/5000][500/535][147101] Loss_D: -0.020200 Loss_G: -0.013219 Loss_D_real: -0.016586 Loss_D_fake 0.003613
[1425/5000][505/535][147102] Loss_D: -0.019089 Loss_G: -0.004229 Loss_D_real: -0.003721 Loss_D_fake 0.015368
[1425/5000][510/535][147103] Loss_D: -0.020656 Loss_G: 0.016396 Loss_D_real: -0.026917 Loss_D_fake -0.006262
[1425/5000][515/535][147104] Loss_D: -0.020498 Loss_G: -0.003729 Loss_D_real: -0.014064 Loss_D_fake 0.006434
[1425/5000][520/535][147105] Loss_D: -0.020472 Loss_G: -0.000904 Loss_D_real: -0.004590 Loss_D_fake 0.015883
[1425/5000][525/535][147106] Loss_D: -0.020107 Loss_G: 0.002008 Loss_D_real: -0.006284 Loss_D_fake 0.013823
[1425/5000][530/535][147107] Loss_D: -0.020198 Loss_G: 0.019567 Loss_D_real: -0.032959 Loss_D_fake -0.012761
[1425/5000][535/535][147108] Loss_D: -0.020616 Loss_G: 0.017892 Loss_D_real: -0.014924 Loss_D_fake 0.005692
[1426/5000][5/535][147109] Loss_D: -0.020246 Loss_G: 0.009013 Loss_D_real: 0.006754 Loss_D_fake 0.026999
[1426/5000][10/535][147110] Loss_D: -0.019589 Loss_G: -0.004792 Loss_D_real: -0.003461 Loss_D_fake 0.016128
[1426/5000][15/535][147111] Loss_D: -0.019023 Loss_G: 0.011093 Loss_D_real: -0.011648 Loss_D_fake 0.007376
[1426/5000][20/535][147112] Loss_D: -0.018910 Loss_G: -0.021787 Loss_D_real: -0.006181 Loss_D_fake 0.012729
[1426/5000][25/535][147113] Loss_D: -0.018763 Loss_G: 0.025629 Loss_D_real: -0.031526 Loss_D_fake -0.012763
[1426/5000][30/535][147114] Loss_D: -0.021250 Loss_G: 0.014375 Loss_D_real: -0.027442 Loss_D_fake -0.006192
[1426/5000][35/535][147115] Loss_D: -0.021674 Loss_G: 0.018338 Loss_D_real: -0.013795 Loss_D_fake 0.007879
[1426/5000][40/535][147116] Loss_D: -0.019272 Loss_G: -0.002758 Loss_D_real: -0.007686 Loss_D_fake 0.011586
[1426/5000][45/535][147117] Loss_D: -0.019334 Loss_G: 0.010780 Loss_D_real: -0.025010 Loss_D_fake -0.005675
[1426/5000][50/535][147118] Loss_D: -0.019983 Loss_G: 0.015841 Loss_D_real: -0.026158 Loss_D_fake -0.006174
[1426/5000][55/535][147119] Loss_D: -0.019589 Loss_G: 0.018614 Loss_D_real: -0.026715 Loss_D_fake -0.007126
[1426/5000][60/535][147120] Loss_D: -0.019857 Loss_G: 0.002940 Loss_D_real: -0.023858 Loss_D_fake -0.004001
[1426/5000][65/535][147121] Loss_D: -0.020694 Loss_G: 0.003652 Loss_D_real: -0.022925 Loss_D_fake -0.002231
[1426/5000][70/535][147122] Loss_D: -0.019573 Loss_G: 0.012719 Loss_D_real: -0.026811 Loss_D_fake -0.007238
[1426/5000][75/535][147123] Loss_D: -0.019582 Loss_G: 0.001565 Loss_D_real: -0.016364 Loss_D_fake 0.003218
[1426/5000][80/535][147124] Loss_D: -0.017717 Loss_G: -0.005082 Loss_D_real: -0.012722 Loss_D_fake 0.004995
[1426/5000][85/535][147125] Loss_D: -0.017862 Loss_G: -0.000369 Loss_D_real: -0.016944 Loss_D_fake 0.000919
[1426/5000][90/535][147126] Loss_D: -0.019062 Loss_G: -0.006204 Loss_D_real: -0.002824 Loss_D_fake 0.016239
[1426/5000][95/535][147127] Loss_D: -0.018942 Loss_G: 0.003580 Loss_D_real: -0.013748 Loss_D_fake 0.005194
[1426/5000][100/535][147128] Loss_D: -0.019377 Loss_G: -0.017562 Loss_D_real: -0.015184 Loss_D_fake 0.004193
[1426/5000][105/535][147129] Loss_D: -0.018799 Loss_G: 0.022771 Loss_D_real: -0.021153 Loss_D_fake -0.002354
[1426/5000][110/535][147130] Loss_D: -0.019804 Loss_G: 0.003651 Loss_D_real: -0.009558 Loss_D_fake 0.010246
[1426/5000][115/535][147131] Loss_D: -0.020173 Loss_G: -0.000286 Loss_D_real: -0.010950 Loss_D_fake 0.009222
[1426/5000][120/535][147132] Loss_D: -0.019779 Loss_G: 0.008352 Loss_D_real: -0.009318 Loss_D_fake 0.010461
[1426/5000][125/535][147133] Loss_D: -0.018781 Loss_G: -0.003480 Loss_D_real: -0.009733 Loss_D_fake 0.009048
[1426/5000][130/535][147134] Loss_D: -0.017603 Loss_G: 0.019016 Loss_D_real: -0.033882 Loss_D_fake -0.016279
[1426/5000][135/535][147135] Loss_D: -0.018557 Loss_G: -0.000098 Loss_D_real: -0.018971 Loss_D_fake -0.000414
[1426/5000][140/535][147136] Loss_D: -0.019322 Loss_G: 0.013911 Loss_D_real: -0.026227 Loss_D_fake -0.006905
[1426/5000][145/535][147137] Loss_D: -0.019403 Loss_G: 0.000206 Loss_D_real: -0.014560 Loss_D_fake 0.004844
[1426/5000][150/535][147138] Loss_D: -0.021881 Loss_G: 0.019088 Loss_D_real: -0.023440 Loss_D_fake -0.001558
[1426/5000][155/535][147139] Loss_D: -0.019071 Loss_G: 0.011653 Loss_D_real: -0.018434 Loss_D_fake 0.000636
[1426/5000][160/535][147140] Loss_D: -0.020867 Loss_G: 0.007040 Loss_D_real: -0.010074 Loss_D_fake 0.010793
[1426/5000][165/535][147141] Loss_D: -0.019519 Loss_G: 0.008802 Loss_D_real: -0.016989 Loss_D_fake 0.002530
[1426/5000][170/535][147142] Loss_D: -0.020323 Loss_G: 0.002214 Loss_D_real: -0.000748 Loss_D_fake 0.019575
[1426/5000][175/535][147143] Loss_D: -0.020168 Loss_G: 0.003435 Loss_D_real: -0.010739 Loss_D_fake 0.009429
[1426/5000][180/535][147144] Loss_D: -0.021903 Loss_G: -0.003704 Loss_D_real: -0.007068 Loss_D_fake 0.014835
[1426/5000][185/535][147145] Loss_D: -0.020073 Loss_G: 0.020262 Loss_D_real: -0.028335 Loss_D_fake -0.008263
[1426/5000][190/535][147146] Loss_D: -0.019935 Loss_G: 0.016079 Loss_D_real: -0.027960 Loss_D_fake -0.008025
[1426/5000][195/535][147147] Loss_D: -0.020925 Loss_G: 0.027350 Loss_D_real: -0.029103 Loss_D_fake -0.008178
[1426/5000][200/535][147148] Loss_D: -0.020552 Loss_G: 0.029491 Loss_D_real: -0.028494 Loss_D_fake -0.007942
[1426/5000][205/535][147149] Loss_D: -0.020274 Loss_G: 0.000019 Loss_D_real: -0.012149 Loss_D_fake 0.008125
[1426/5000][210/535][147150] Loss_D: -0.019753 Loss_G: -0.013136 Loss_D_real: -0.003001 Loss_D_fake 0.016752
[1426/5000][215/535][147151] Loss_D: -0.019338 Loss_G: 0.017362 Loss_D_real: -0.014798 Loss_D_fake 0.004539
[1426/5000][220/535][147152] Loss_D: -0.019728 Loss_G: 0.019084 Loss_D_real: -0.015254 Loss_D_fake 0.004474
[1426/5000][225/535][147153] Loss_D: -0.019457 Loss_G: 0.018936 Loss_D_real: -0.019617 Loss_D_fake -0.000160
[1426/5000][230/535][147154] Loss_D: -0.018959 Loss_G: -0.012687 Loss_D_real: -0.000867 Loss_D_fake 0.018092
[1426/5000][235/535][147155] Loss_D: -0.019013 Loss_G: 0.033023 Loss_D_real: -0.023252 Loss_D_fake -0.004240
[1426/5000][240/535][147156] Loss_D: -0.018288 Loss_G: -0.010637 Loss_D_real: -0.001290 Loss_D_fake 0.016998
[1426/5000][245/535][147157] Loss_D: -0.018035 Loss_G: 0.014122 Loss_D_real: -0.018080 Loss_D_fake -0.000045
[1426/5000][250/535][147158] Loss_D: -0.020566 Loss_G: 0.009118 Loss_D_real: -0.022347 Loss_D_fake -0.001782
[1426/5000][255/535][147159] Loss_D: -0.018600 Loss_G: 0.014435 Loss_D_real: -0.026949 Loss_D_fake -0.008349
[1426/5000][260/535][147160] Loss_D: -0.017248 Loss_G: 0.030203 Loss_D_real: -0.034340 Loss_D_fake -0.017091
[1426/5000][265/535][147161] Loss_D: -0.019377 Loss_G: -0.002072 Loss_D_real: -0.011959 Loss_D_fake 0.007418
[1426/5000][270/535][147162] Loss_D: -0.018175 Loss_G: 0.018252 Loss_D_real: -0.028250 Loss_D_fake -0.010075
[1426/5000][275/535][147163] Loss_D: -0.020738 Loss_G: 0.002556 Loss_D_real: -0.022400 Loss_D_fake -0.001662
[1426/5000][280/535][147164] Loss_D: -0.020207 Loss_G: 0.021842 Loss_D_real: -0.028563 Loss_D_fake -0.008356
[1426/5000][285/535][147165] Loss_D: -0.020346 Loss_G: -0.009769 Loss_D_real: 0.002651 Loss_D_fake 0.022997
[1426/5000][290/535][147166] Loss_D: -0.019915 Loss_G: -0.008443 Loss_D_real: -0.006507 Loss_D_fake 0.013408
[1426/5000][295/535][147167] Loss_D: -0.019166 Loss_G: 0.009733 Loss_D_real: -0.014481 Loss_D_fake 0.004685
[1426/5000][300/535][147168] Loss_D: -0.019032 Loss_G: 0.023990 Loss_D_real: -0.030373 Loss_D_fake -0.011341
[1426/5000][305/535][147169] Loss_D: -0.020367 Loss_G: 0.006674 Loss_D_real: -0.020368 Loss_D_fake -0.000001
[1426/5000][310/535][147170] Loss_D: -0.020488 Loss_G: 0.001198 Loss_D_real: -0.018231 Loss_D_fake 0.002257
[1426/5000][315/535][147171] Loss_D: -0.019773 Loss_G: -0.001029 Loss_D_real: -0.014449 Loss_D_fake 0.005324
[1426/5000][320/535][147172] Loss_D: -0.018215 Loss_G: -0.009207 Loss_D_real: -0.006588 Loss_D_fake 0.011627
[1426/5000][325/535][147173] Loss_D: -0.019247 Loss_G: 0.009672 Loss_D_real: -0.025559 Loss_D_fake -0.006313
[1426/5000][330/535][147174] Loss_D: -0.019916 Loss_G: -0.000799 Loss_D_real: -0.015410 Loss_D_fake 0.004506
[1426/5000][335/535][147175] Loss_D: -0.018337 Loss_G: -0.001389 Loss_D_real: -0.003754 Loss_D_fake 0.014582
[1426/5000][340/535][147176] Loss_D: -0.019572 Loss_G: -0.006008 Loss_D_real: -0.015707 Loss_D_fake 0.003865
[1426/5000][345/535][147177] Loss_D: -0.020202 Loss_G: 0.002797 Loss_D_real: -0.011780 Loss_D_fake 0.008422
[1426/5000][350/535][147178] Loss_D: -0.019760 Loss_G: -0.008827 Loss_D_real: -0.008445 Loss_D_fake 0.011315
[1426/5000][355/535][147179] Loss_D: -0.018365 Loss_G: 0.009031 Loss_D_real: -0.017754 Loss_D_fake 0.000611
[1426/5000][360/535][147180] Loss_D: -0.018151 Loss_G: 0.033800 Loss_D_real: -0.037566 Loss_D_fake -0.019415
[1426/5000][365/535][147181] Loss_D: -0.022063 Loss_G: 0.003578 Loss_D_real: -0.026227 Loss_D_fake -0.004164
[1426/5000][370/535][147182] Loss_D: -0.019624 Loss_G: 0.011682 Loss_D_real: -0.008855 Loss_D_fake 0.010768
[1426/5000][375/535][147183] Loss_D: -0.021276 Loss_G: 0.002035 Loss_D_real: -0.011500 Loss_D_fake 0.009776
[1426/5000][380/535][147184] Loss_D: -0.021755 Loss_G: 0.006436 Loss_D_real: -0.018530 Loss_D_fake 0.003225
[1426/5000][385/535][147185] Loss_D: -0.020706 Loss_G: 0.028702 Loss_D_real: -0.016992 Loss_D_fake 0.003714
[1426/5000][390/535][147186] Loss_D: -0.019274 Loss_G: -0.021340 Loss_D_real: 0.005094 Loss_D_fake 0.024368
[1426/5000][395/535][147187] Loss_D: -0.018835 Loss_G: 0.001609 Loss_D_real: -0.016277 Loss_D_fake 0.002558
[1426/5000][400/535][147188] Loss_D: -0.020193 Loss_G: 0.009061 Loss_D_real: -0.018144 Loss_D_fake 0.002049
[1426/5000][405/535][147189] Loss_D: -0.019079 Loss_G: 0.031643 Loss_D_real: -0.023065 Loss_D_fake -0.003987
[1426/5000][410/535][147190] Loss_D: -0.018077 Loss_G: 0.000509 Loss_D_real: -0.019346 Loss_D_fake -0.001269
[1426/5000][415/535][147191] Loss_D: -0.019376 Loss_G: 0.014364 Loss_D_real: -0.034635 Loss_D_fake -0.015259
[1426/5000][420/535][147192] Loss_D: -0.020042 Loss_G: 0.015907 Loss_D_real: -0.008415 Loss_D_fake 0.011627
[1426/5000][425/535][147193] Loss_D: -0.019175 Loss_G: 0.002608 Loss_D_real: -0.005148 Loss_D_fake 0.014026
[1426/5000][430/535][147194] Loss_D: -0.020700 Loss_G: 0.013644 Loss_D_real: -0.008554 Loss_D_fake 0.012146
[1426/5000][435/535][147195] Loss_D: -0.019536 Loss_G: 0.008362 Loss_D_real: -0.024388 Loss_D_fake -0.004853
[1426/5000][440/535][147196] Loss_D: -0.020250 Loss_G: -0.012073 Loss_D_real: -0.012384 Loss_D_fake 0.007867
[1426/5000][445/535][147197] Loss_D: -0.020416 Loss_G: 0.017580 Loss_D_real: -0.012742 Loss_D_fake 0.007675
[1426/5000][450/535][147198] Loss_D: -0.020467 Loss_G: 0.013316 Loss_D_real: -0.018164 Loss_D_fake 0.002302
[1426/5000][455/535][147199] Loss_D: -0.019706 Loss_G: 0.010588 Loss_D_real: -0.028437 Loss_D_fake -0.008732
[1426/5000][460/535][147200] Loss_D: -0.020096 Loss_G: 0.017138 Loss_D_real: -0.021970 Loss_D_fake -0.001874
[1426/5000][465/535][147201] Loss_D: -0.019695 Loss_G: 0.010560 Loss_D_real: -0.016225 Loss_D_fake 0.003470
[1426/5000][470/535][147202] Loss_D: -0.020603 Loss_G: 0.008952 Loss_D_real: -0.022829 Loss_D_fake -0.002226
[1426/5000][475/535][147203] Loss_D: -0.021344 Loss_G: -0.016189 Loss_D_real: 0.005272 Loss_D_fake 0.026617
[1426/5000][480/535][147204] Loss_D: -0.020546 Loss_G: 0.012395 Loss_D_real: -0.021698 Loss_D_fake -0.001152
[1426/5000][485/535][147205] Loss_D: -0.021104 Loss_G: -0.001060 Loss_D_real: -0.003782 Loss_D_fake 0.017322
[1426/5000][490/535][147206] Loss_D: -0.021321 Loss_G: 0.013078 Loss_D_real: -0.013057 Loss_D_fake 0.008265
[1426/5000][495/535][147207] Loss_D: -0.019459 Loss_G: 0.012586 Loss_D_real: -0.020317 Loss_D_fake -0.000858
[1426/5000][500/535][147208] Loss_D: -0.020492 Loss_G: 0.026976 Loss_D_real: -0.021468 Loss_D_fake -0.000976
[1426/5000][505/535][147209] Loss_D: -0.020786 Loss_G: -0.004543 Loss_D_real: -0.016912 Loss_D_fake 0.003874
[1426/5000][510/535][147210] Loss_D: -0.021352 Loss_G: 0.012947 Loss_D_real: -0.036124 Loss_D_fake -0.014772
[1426/5000][515/535][147211] Loss_D: -0.020612 Loss_G: 0.024781 Loss_D_real: -0.020314 Loss_D_fake 0.000298
[1426/5000][520/535][147212] Loss_D: -0.019685 Loss_G: -0.009358 Loss_D_real: -0.015073 Loss_D_fake 0.004612
[1426/5000][525/535][147213] Loss_D: -0.019535 Loss_G: -0.018540 Loss_D_real: 0.000229 Loss_D_fake 0.019764
[1426/5000][530/535][147214] Loss_D: -0.019485 Loss_G: -0.005267 Loss_D_real: -0.010037 Loss_D_fake 0.009448
[1426/5000][535/535][147215] Loss_D: -0.020980 Loss_G: 0.011696 Loss_D_real: -0.016418 Loss_D_fake 0.004562
[1427/5000][5/535][147216] Loss_D: -0.019641 Loss_G: -0.009189 Loss_D_real: -0.009037 Loss_D_fake 0.010604
[1427/5000][10/535][147217] Loss_D: -0.019525 Loss_G: -0.000746 Loss_D_real: -0.013050 Loss_D_fake 0.006475
[1427/5000][15/535][147218] Loss_D: -0.020860 Loss_G: 0.020871 Loss_D_real: -0.032879 Loss_D_fake -0.012019
[1427/5000][20/535][147219] Loss_D: -0.019240 Loss_G: 0.025547 Loss_D_real: -0.038973 Loss_D_fake -0.019733
[1427/5000][25/535][147220] Loss_D: -0.021093 Loss_G: 0.012660 Loss_D_real: -0.007495 Loss_D_fake 0.013597
[1427/5000][30/535][147221] Loss_D: -0.018536 Loss_G: 0.024389 Loss_D_real: -0.031273 Loss_D_fake -0.012737
[1427/5000][35/535][147222] Loss_D: -0.020173 Loss_G: 0.004023 Loss_D_real: -0.003780 Loss_D_fake 0.016393
[1427/5000][40/535][147223] Loss_D: -0.021858 Loss_G: 0.019244 Loss_D_real: -0.030371 Loss_D_fake -0.008513
[1427/5000][45/535][147224] Loss_D: -0.018036 Loss_G: 0.018562 Loss_D_real: -0.033762 Loss_D_fake -0.015726
[1427/5000][50/535][147225] Loss_D: -0.019779 Loss_G: 0.012940 Loss_D_real: -0.030002 Loss_D_fake -0.010223
[1427/5000][55/535][147226] Loss_D: -0.020563 Loss_G: 0.014001 Loss_D_real: -0.015869 Loss_D_fake 0.004694
[1427/5000][60/535][147227] Loss_D: -0.020000 Loss_G: 0.019144 Loss_D_real: -0.021969 Loss_D_fake -0.001969
[1427/5000][65/535][147228] Loss_D: -0.019907 Loss_G: -0.005243 Loss_D_real: -0.025627 Loss_D_fake -0.005720
[1427/5000][70/535][147229] Loss_D: -0.018876 Loss_G: 0.006700 Loss_D_real: -0.029571 Loss_D_fake -0.010695
[1427/5000][75/535][147230] Loss_D: -0.020342 Loss_G: 0.007898 Loss_D_real: -0.026290 Loss_D_fake -0.005947
[1427/5000][80/535][147231] Loss_D: -0.019352 Loss_G: -0.004121 Loss_D_real: 0.005602 Loss_D_fake 0.024954
[1427/5000][85/535][147232] Loss_D: -0.020893 Loss_G: 0.008297 Loss_D_real: -0.007681 Loss_D_fake 0.013213
[1427/5000][90/535][147233] Loss_D: -0.019137 Loss_G: 0.011246 Loss_D_real: -0.019785 Loss_D_fake -0.000649
[1427/5000][95/535][147234] Loss_D: -0.019474 Loss_G: 0.026394 Loss_D_real: -0.025441 Loss_D_fake -0.005967
[1427/5000][100/535][147235] Loss_D: -0.020465 Loss_G: 0.007906 Loss_D_real: -0.016748 Loss_D_fake 0.003718
[1427/5000][105/535][147236] Loss_D: -0.019480 Loss_G: 0.003975 Loss_D_real: -0.015859 Loss_D_fake 0.003621
[1427/5000][110/535][147237] Loss_D: -0.021658 Loss_G: 0.014346 Loss_D_real: -0.019586 Loss_D_fake 0.002072
[1427/5000][115/535][147238] Loss_D: -0.019142 Loss_G: -0.011386 Loss_D_real: 0.005220 Loss_D_fake 0.024362
[1427/5000][120/535][147239] Loss_D: -0.018293 Loss_G: 0.027733 Loss_D_real: -0.026842 Loss_D_fake -0.008548
[1427/5000][125/535][147240] Loss_D: -0.020824 Loss_G: -0.010729 Loss_D_real: -0.011233 Loss_D_fake 0.009590
[1427/5000][130/535][147241] Loss_D: -0.019493 Loss_G: -0.002993 Loss_D_real: -0.010090 Loss_D_fake 0.009402
[1427/5000][135/535][147242] Loss_D: -0.020837 Loss_G: 0.010756 Loss_D_real: -0.011675 Loss_D_fake 0.009162
[1427/5000][140/535][147243] Loss_D: -0.018819 Loss_G: -0.006422 Loss_D_real: -0.003868 Loss_D_fake 0.014951
[1427/5000][145/535][147244] Loss_D: -0.018964 Loss_G: 0.000510 Loss_D_real: -0.018394 Loss_D_fake 0.000570
[1427/5000][150/535][147245] Loss_D: -0.022629 Loss_G: 0.010938 Loss_D_real: -0.013599 Loss_D_fake 0.009030
[1427/5000][155/535][147246] Loss_D: -0.019150 Loss_G: -0.007404 Loss_D_real: -0.008247 Loss_D_fake 0.010902
[1427/5000][160/535][147247] Loss_D: -0.019425 Loss_G: 0.022616 Loss_D_real: -0.035104 Loss_D_fake -0.015679
[1427/5000][165/535][147248] Loss_D: -0.021227 Loss_G: -0.009190 Loss_D_real: -0.016113 Loss_D_fake 0.005114
[1427/5000][170/535][147249] Loss_D: -0.019630 Loss_G: 0.002033 Loss_D_real: -0.020363 Loss_D_fake -0.000734
[1427/5000][175/535][147250] Loss_D: -0.019756 Loss_G: 0.015506 Loss_D_real: -0.026946 Loss_D_fake -0.007190
[1427/5000][180/535][147251] Loss_D: -0.020410 Loss_G: 0.006186 Loss_D_real: -0.017228 Loss_D_fake 0.003183
[1427/5000][185/535][147252] Loss_D: -0.019096 Loss_G: 0.029794 Loss_D_real: -0.029193 Loss_D_fake -0.010097
[1427/5000][190/535][147253] Loss_D: -0.020636 Loss_G: 0.006751 Loss_D_real: -0.015541 Loss_D_fake 0.005095
[1427/5000][195/535][147254] Loss_D: -0.019959 Loss_G: -0.015351 Loss_D_real: -0.007355 Loss_D_fake 0.012604
[1427/5000][200/535][147255] Loss_D: -0.019895 Loss_G: 0.015640 Loss_D_real: -0.027058 Loss_D_fake -0.007164
[1427/5000][205/535][147256] Loss_D: -0.020180 Loss_G: 0.003245 Loss_D_real: -0.002180 Loss_D_fake 0.018000
[1427/5000][210/535][147257] Loss_D: -0.019673 Loss_G: 0.013070 Loss_D_real: -0.013281 Loss_D_fake 0.006392
[1427/5000][215/535][147258] Loss_D: -0.020717 Loss_G: 0.003887 Loss_D_real: -0.017358 Loss_D_fake 0.003360
[1427/5000][220/535][147259] Loss_D: -0.018510 Loss_G: 0.013537 Loss_D_real: -0.024628 Loss_D_fake -0.006118
[1427/5000][225/535][147260] Loss_D: -0.019807 Loss_G: 0.012743 Loss_D_real: -0.025381 Loss_D_fake -0.005575
[1427/5000][230/535][147261] Loss_D: -0.021119 Loss_G: 0.004036 Loss_D_real: -0.013523 Loss_D_fake 0.007596
[1427/5000][235/535][147262] Loss_D: -0.021234 Loss_G: 0.015843 Loss_D_real: -0.019562 Loss_D_fake 0.001673
[1427/5000][240/535][147263] Loss_D: -0.020869 Loss_G: 0.006841 Loss_D_real: -0.014738 Loss_D_fake 0.006131
[1427/5000][245/535][147264] Loss_D: -0.019948 Loss_G: 0.018928 Loss_D_real: -0.031006 Loss_D_fake -0.011058
[1427/5000][250/535][147265] Loss_D: -0.020509 Loss_G: -0.013842 Loss_D_real: 0.001141 Loss_D_fake 0.021650
[1427/5000][255/535][147266] Loss_D: -0.019702 Loss_G: 0.013675 Loss_D_real: -0.019258 Loss_D_fake 0.000444
[1427/5000][260/535][147267] Loss_D: -0.020308 Loss_G: 0.005163 Loss_D_real: -0.034117 Loss_D_fake -0.013810
[1427/5000][265/535][147268] Loss_D: -0.019819 Loss_G: -0.003280 Loss_D_real: -0.009678 Loss_D_fake 0.010141
[1427/5000][270/535][147269] Loss_D: -0.021216 Loss_G: 0.013651 Loss_D_real: -0.005113 Loss_D_fake 0.016102
[1427/5000][275/535][147270] Loss_D: -0.019436 Loss_G: 0.016194 Loss_D_real: -0.029107 Loss_D_fake -0.009671
[1427/5000][280/535][147271] Loss_D: -0.017647 Loss_G: 0.021179 Loss_D_real: -0.034194 Loss_D_fake -0.016546
[1427/5000][285/535][147272] Loss_D: -0.018649 Loss_G: 0.011205 Loss_D_real: -0.020662 Loss_D_fake -0.002013
[1427/5000][290/535][147273] Loss_D: -0.020430 Loss_G: 0.016487 Loss_D_real: -0.016378 Loss_D_fake 0.004052
[1427/5000][295/535][147274] Loss_D: -0.020436 Loss_G: 0.021725 Loss_D_real: -0.019806 Loss_D_fake 0.000631
[1427/5000][300/535][147275] Loss_D: -0.019994 Loss_G: -0.000929 Loss_D_real: -0.009447 Loss_D_fake 0.010547
[1427/5000][305/535][147276] Loss_D: -0.019859 Loss_G: -0.013740 Loss_D_real: -0.008547 Loss_D_fake 0.011312
[1427/5000][310/535][147277] Loss_D: -0.020633 Loss_G: -0.002074 Loss_D_real: -0.009437 Loss_D_fake 0.011197
[1427/5000][315/535][147278] Loss_D: -0.018928 Loss_G: 0.020289 Loss_D_real: -0.027130 Loss_D_fake -0.008202
[1427/5000][320/535][147279] Loss_D: -0.019654 Loss_G: -0.005867 Loss_D_real: -0.011362 Loss_D_fake 0.008292
[1427/5000][325/535][147280] Loss_D: -0.019961 Loss_G: 0.000343 Loss_D_real: -0.022725 Loss_D_fake -0.002764
[1427/5000][330/535][147281] Loss_D: -0.017400 Loss_G: 0.010215 Loss_D_real: -0.021975 Loss_D_fake -0.004575
[1427/5000][335/535][147282] Loss_D: -0.019836 Loss_G: 0.024003 Loss_D_real: -0.033076 Loss_D_fake -0.013240
[1427/5000][340/535][147283] Loss_D: -0.020167 Loss_G: 0.010724 Loss_D_real: -0.036389 Loss_D_fake -0.016221
[1427/5000][345/535][147284] Loss_D: -0.018623 Loss_G: -0.005586 Loss_D_real: 0.001278 Loss_D_fake 0.019901
[1427/5000][350/535][147285] Loss_D: -0.021223 Loss_G: -0.006983 Loss_D_real: -0.008088 Loss_D_fake 0.013135
[1427/5000][355/535][147286] Loss_D: -0.020181 Loss_G: 0.017361 Loss_D_real: -0.025112 Loss_D_fake -0.004930
[1427/5000][360/535][147287] Loss_D: -0.018538 Loss_G: 0.002865 Loss_D_real: -0.020491 Loss_D_fake -0.001953
[1427/5000][365/535][147288] Loss_D: -0.019966 Loss_G: 0.006738 Loss_D_real: -0.022455 Loss_D_fake -0.002489
[1427/5000][370/535][147289] Loss_D: -0.018979 Loss_G: 0.005392 Loss_D_real: -0.011154 Loss_D_fake 0.007825
[1427/5000][375/535][147290] Loss_D: -0.019240 Loss_G: 0.003036 Loss_D_real: -0.015365 Loss_D_fake 0.003875
[1427/5000][380/535][147291] Loss_D: -0.020220 Loss_G: 0.020937 Loss_D_real: -0.018179 Loss_D_fake 0.002041
[1427/5000][385/535][147292] Loss_D: -0.019365 Loss_G: 0.017589 Loss_D_real: -0.023224 Loss_D_fake -0.003858
[1427/5000][390/535][147293] Loss_D: -0.019588 Loss_G: -0.001417 Loss_D_real: -0.009486 Loss_D_fake 0.010102
[1427/5000][395/535][147294] Loss_D: -0.019992 Loss_G: 0.016263 Loss_D_real: -0.024177 Loss_D_fake -0.004185
[1427/5000][400/535][147295] Loss_D: -0.019376 Loss_G: 0.007335 Loss_D_real: -0.018414 Loss_D_fake 0.000962
[1427/5000][405/535][147296] Loss_D: -0.019719 Loss_G: 0.003526 Loss_D_real: -0.020628 Loss_D_fake -0.000909
[1427/5000][410/535][147297] Loss_D: -0.020891 Loss_G: 0.016602 Loss_D_real: -0.020847 Loss_D_fake 0.000044
[1427/5000][415/535][147298] Loss_D: -0.020299 Loss_G: -0.000006 Loss_D_real: -0.019454 Loss_D_fake 0.000845
[1427/5000][420/535][147299] Loss_D: -0.021085 Loss_G: -0.006600 Loss_D_real: 0.005876 Loss_D_fake 0.026961
[1427/5000][425/535][147300] Loss_D: -0.019393 Loss_G: 0.005568 Loss_D_real: -0.014618 Loss_D_fake 0.004776
[1427/5000][430/535][147301] Loss_D: -0.019668 Loss_G: 0.014358 Loss_D_real: -0.026951 Loss_D_fake -0.007283
[1427/5000][435/535][147302] Loss_D: -0.019261 Loss_G: 0.015383 Loss_D_real: -0.027281 Loss_D_fake -0.008020
[1427/5000][440/535][147303] Loss_D: -0.018998 Loss_G: -0.010837 Loss_D_real: -0.008206 Loss_D_fake 0.010792
[1427/5000][445/535][147304] Loss_D: -0.017903 Loss_G: 0.011435 Loss_D_real: -0.011141 Loss_D_fake 0.006762
[1427/5000][450/535][147305] Loss_D: -0.018844 Loss_G: 0.022364 Loss_D_real: -0.016628 Loss_D_fake 0.002215
[1427/5000][455/535][147306] Loss_D: -0.018940 Loss_G: -0.004502 Loss_D_real: -0.002081 Loss_D_fake 0.016859
[1427/5000][460/535][147307] Loss_D: -0.020832 Loss_G: -0.004113 Loss_D_real: 0.002773 Loss_D_fake 0.023606
[1427/5000][465/535][147308] Loss_D: -0.019602 Loss_G: -0.002997 Loss_D_real: -0.009188 Loss_D_fake 0.010414
[1427/5000][470/535][147309] Loss_D: -0.019849 Loss_G: 0.019150 Loss_D_real: -0.018657 Loss_D_fake 0.001192
[1427/5000][475/535][147310] Loss_D: -0.019780 Loss_G: -0.001588 Loss_D_real: -0.006244 Loss_D_fake 0.013536
[1427/5000][480/535][147311] Loss_D: -0.019413 Loss_G: 0.008844 Loss_D_real: -0.024706 Loss_D_fake -0.005293
[1427/5000][485/535][147312] Loss_D: -0.020833 Loss_G: 0.000279 Loss_D_real: -0.017729 Loss_D_fake 0.003104
[1427/5000][490/535][147313] Loss_D: -0.018102 Loss_G: 0.024192 Loss_D_real: -0.012681 Loss_D_fake 0.005422
[1427/5000][495/535][147314] Loss_D: -0.018786 Loss_G: -0.016541 Loss_D_real: -0.000362 Loss_D_fake 0.018423
[1427/5000][500/535][147315] Loss_D: -0.018984 Loss_G: -0.016844 Loss_D_real: 0.004142 Loss_D_fake 0.023127
[1427/5000][505/535][147316] Loss_D: -0.019640 Loss_G: 0.030093 Loss_D_real: -0.016752 Loss_D_fake 0.002889
[1427/5000][510/535][147317] Loss_D: -0.020281 Loss_G: -0.005913 Loss_D_real: -0.014639 Loss_D_fake 0.005642
[1427/5000][515/535][147318] Loss_D: -0.019986 Loss_G: 0.033402 Loss_D_real: -0.034362 Loss_D_fake -0.014376
[1427/5000][520/535][147319] Loss_D: -0.019769 Loss_G: 0.019687 Loss_D_real: -0.026574 Loss_D_fake -0.006805
[1427/5000][525/535][147320] Loss_D: -0.021064 Loss_G: 0.011377 Loss_D_real: -0.024726 Loss_D_fake -0.003661
[1427/5000][530/535][147321] Loss_D: -0.020134 Loss_G: 0.001490 Loss_D_real: -0.017220 Loss_D_fake 0.002914
[1427/5000][535/535][147322] Loss_D: -0.019853 Loss_G: -0.035393 Loss_D_real: -0.008462 Loss_D_fake 0.011391
[1428/5000][5/535][147323] Loss_D: -0.019952 Loss_G: 0.001346 Loss_D_real: -0.009574 Loss_D_fake 0.010378
[1428/5000][10/535][147324] Loss_D: -0.021048 Loss_G: 0.010026 Loss_D_real: -0.012819 Loss_D_fake 0.008230
[1428/5000][15/535][147325] Loss_D: -0.019873 Loss_G: 0.009014 Loss_D_real: -0.008797 Loss_D_fake 0.011076
[1428/5000][20/535][147326] Loss_D: -0.019162 Loss_G: 0.018856 Loss_D_real: -0.017613 Loss_D_fake 0.001549
[1428/5000][25/535][147327] Loss_D: -0.020320 Loss_G: 0.005367 Loss_D_real: -0.018570 Loss_D_fake 0.001751
[1428/5000][30/535][147328] Loss_D: -0.020457 Loss_G: 0.012842 Loss_D_real: -0.017503 Loss_D_fake 0.002954
[1428/5000][35/535][147329] Loss_D: -0.020585 Loss_G: 0.007066 Loss_D_real: -0.024571 Loss_D_fake -0.003985
[1428/5000][40/535][147330] Loss_D: -0.021177 Loss_G: 0.010090 Loss_D_real: -0.014348 Loss_D_fake 0.006829
[1428/5000][45/535][147331] Loss_D: -0.019529 Loss_G: 0.020949 Loss_D_real: -0.030755 Loss_D_fake -0.011226
[1428/5000][50/535][147332] Loss_D: -0.020168 Loss_G: 0.003635 Loss_D_real: -0.025019 Loss_D_fake -0.004850
[1428/5000][55/535][147333] Loss_D: -0.020115 Loss_G: 0.001637 Loss_D_real: -0.009720 Loss_D_fake 0.010396
[1428/5000][60/535][147334] Loss_D: -0.020327 Loss_G: 0.008494 Loss_D_real: -0.023585 Loss_D_fake -0.003258
[1428/5000][65/535][147335] Loss_D: -0.021161 Loss_G: 0.000011 Loss_D_real: -0.013768 Loss_D_fake 0.007393
[1428/5000][70/535][147336] Loss_D: -0.020173 Loss_G: -0.006470 Loss_D_real: -0.004656 Loss_D_fake 0.015517
[1428/5000][75/535][147337] Loss_D: -0.020010 Loss_G: 0.006036 Loss_D_real: -0.017994 Loss_D_fake 0.002016
[1428/5000][80/535][147338] Loss_D: -0.019692 Loss_G: 0.013729 Loss_D_real: -0.023630 Loss_D_fake -0.003938
[1428/5000][85/535][147339] Loss_D: -0.020286 Loss_G: -0.001594 Loss_D_real: -0.000520 Loss_D_fake 0.019766
[1428/5000][90/535][147340] Loss_D: -0.016814 Loss_G: -0.002682 Loss_D_real: -0.013445 Loss_D_fake 0.003369
[1428/5000][95/535][147341] Loss_D: -0.020190 Loss_G: -0.005864 Loss_D_real: -0.015393 Loss_D_fake 0.004796
[1428/5000][100/535][147342] Loss_D: -0.020116 Loss_G: -0.004250 Loss_D_real: 0.012895 Loss_D_fake 0.033011
[1428/5000][105/535][147343] Loss_D: -0.019400 Loss_G: 0.006069 Loss_D_real: -0.007450 Loss_D_fake 0.011950
[1428/5000][110/535][147344] Loss_D: -0.020396 Loss_G: 0.009317 Loss_D_real: -0.025659 Loss_D_fake -0.005263
[1428/5000][115/535][147345] Loss_D: -0.020107 Loss_G: 0.013944 Loss_D_real: -0.020426 Loss_D_fake -0.000319
[1428/5000][120/535][147346] Loss_D: -0.018852 Loss_G: 0.021185 Loss_D_real: -0.022990 Loss_D_fake -0.004139
[1428/5000][125/535][147347] Loss_D: -0.016319 Loss_G: 0.023823 Loss_D_real: -0.035924 Loss_D_fake -0.019605
[1428/5000][130/535][147348] Loss_D: -0.020785 Loss_G: 0.003691 Loss_D_real: -0.011331 Loss_D_fake 0.009454
[1428/5000][135/535][147349] Loss_D: -0.020239 Loss_G: -0.004448 Loss_D_real: -0.018731 Loss_D_fake 0.001508
[1428/5000][140/535][147350] Loss_D: -0.018664 Loss_G: 0.009583 Loss_D_real: -0.023363 Loss_D_fake -0.004699
[1428/5000][145/535][147351] Loss_D: -0.018587 Loss_G: 0.000499 Loss_D_real: -0.022334 Loss_D_fake -0.003747
[1428/5000][150/535][147352] Loss_D: -0.018998 Loss_G: -0.000180 Loss_D_real: -0.007393 Loss_D_fake 0.011605
[1428/5000][155/535][147353] Loss_D: -0.017954 Loss_G: 0.030812 Loss_D_real: -0.025629 Loss_D_fake -0.007674
[1428/5000][160/535][147354] Loss_D: -0.019393 Loss_G: -0.021819 Loss_D_real: -0.004724 Loss_D_fake 0.014669
[1428/5000][165/535][147355] Loss_D: -0.019956 Loss_G: 0.014412 Loss_D_real: -0.007755 Loss_D_fake 0.012201
[1428/5000][170/535][147356] Loss_D: -0.019958 Loss_G: 0.013394 Loss_D_real: -0.023641 Loss_D_fake -0.003683
[1428/5000][175/535][147357] Loss_D: -0.019382 Loss_G: -0.004682 Loss_D_real: -0.006044 Loss_D_fake 0.013338
[1428/5000][180/535][147358] Loss_D: -0.018766 Loss_G: -0.005291 Loss_D_real: -0.015829 Loss_D_fake 0.002936
[1428/5000][185/535][147359] Loss_D: -0.020833 Loss_G: 0.012194 Loss_D_real: -0.010531 Loss_D_fake 0.010301
[1428/5000][190/535][147360] Loss_D: -0.019725 Loss_G: -0.007564 Loss_D_real: 0.000139 Loss_D_fake 0.019864
[1428/5000][195/535][147361] Loss_D: -0.019596 Loss_G: 0.009652 Loss_D_real: -0.016407 Loss_D_fake 0.003189
[1428/5000][200/535][147362] Loss_D: -0.019360 Loss_G: 0.023920 Loss_D_real: -0.025408 Loss_D_fake -0.006048
[1428/5000][205/535][147363] Loss_D: -0.020353 Loss_G: 0.008240 Loss_D_real: -0.012151 Loss_D_fake 0.008203
[1428/5000][210/535][147364] Loss_D: -0.020131 Loss_G: 0.003898 Loss_D_real: -0.012334 Loss_D_fake 0.007797
[1428/5000][215/535][147365] Loss_D: -0.019939 Loss_G: 0.016198 Loss_D_real: -0.029666 Loss_D_fake -0.009727
[1428/5000][220/535][147366] Loss_D: -0.020423 Loss_G: -0.008150 Loss_D_real: -0.010288 Loss_D_fake 0.010136
[1428/5000][225/535][147367] Loss_D: -0.019413 Loss_G: 0.018258 Loss_D_real: -0.016266 Loss_D_fake 0.003147
[1428/5000][230/535][147368] Loss_D: -0.020757 Loss_G: -0.002807 Loss_D_real: -0.022544 Loss_D_fake -0.001787
[1428/5000][235/535][147369] Loss_D: -0.020163 Loss_G: 0.008326 Loss_D_real: -0.017241 Loss_D_fake 0.002922
[1428/5000][240/535][147370] Loss_D: -0.020271 Loss_G: -0.006861 Loss_D_real: -0.017943 Loss_D_fake 0.002328
[1428/5000][245/535][147371] Loss_D: -0.020007 Loss_G: 0.010514 Loss_D_real: -0.023099 Loss_D_fake -0.003092
[1428/5000][250/535][147372] Loss_D: -0.021787 Loss_G: 0.014740 Loss_D_real: -0.026209 Loss_D_fake -0.004422
[1428/5000][255/535][147373] Loss_D: -0.020027 Loss_G: -0.010677 Loss_D_real: 0.008982 Loss_D_fake 0.029009
[1428/5000][260/535][147374] Loss_D: -0.019456 Loss_G: -0.002095 Loss_D_real: -0.012866 Loss_D_fake 0.006590
[1428/5000][265/535][147375] Loss_D: -0.020092 Loss_G: 0.004118 Loss_D_real: -0.009306 Loss_D_fake 0.010786
[1428/5000][270/535][147376] Loss_D: -0.019471 Loss_G: -0.005171 Loss_D_real: -0.004370 Loss_D_fake 0.015101
[1428/5000][275/535][147377] Loss_D: -0.019696 Loss_G: 0.006626 Loss_D_real: -0.029877 Loss_D_fake -0.010182
[1428/5000][280/535][147378] Loss_D: -0.016489 Loss_G: 0.021522 Loss_D_real: -0.025313 Loss_D_fake -0.008823
[1428/5000][285/535][147379] Loss_D: -0.019331 Loss_G: 0.020915 Loss_D_real: -0.025915 Loss_D_fake -0.006583
[1428/5000][290/535][147380] Loss_D: -0.017579 Loss_G: 0.032567 Loss_D_real: -0.040564 Loss_D_fake -0.022985
[1428/5000][295/535][147381] Loss_D: -0.019636 Loss_G: 0.015392 Loss_D_real: -0.032135 Loss_D_fake -0.012499
[1428/5000][300/535][147382] Loss_D: -0.020517 Loss_G: 0.003421 Loss_D_real: -0.011137 Loss_D_fake 0.009380
[1428/5000][305/535][147383] Loss_D: -0.019301 Loss_G: -0.000479 Loss_D_real: -0.021980 Loss_D_fake -0.002679
[1428/5000][310/535][147384] Loss_D: -0.020143 Loss_G: 0.007555 Loss_D_real: -0.022685 Loss_D_fake -0.002542
[1428/5000][315/535][147385] Loss_D: -0.020116 Loss_G: 0.012603 Loss_D_real: -0.019789 Loss_D_fake 0.000327
[1428/5000][320/535][147386] Loss_D: -0.019866 Loss_G: 0.009761 Loss_D_real: -0.014686 Loss_D_fake 0.005180
[1428/5000][325/535][147387] Loss_D: -0.021956 Loss_G: 0.002911 Loss_D_real: -0.011120 Loss_D_fake 0.010836
[1428/5000][330/535][147388] Loss_D: -0.020820 Loss_G: -0.001140 Loss_D_real: -0.003873 Loss_D_fake 0.016947
[1428/5000][335/535][147389] Loss_D: -0.022265 Loss_G: 0.001292 Loss_D_real: -0.030468 Loss_D_fake -0.008203
[1428/5000][340/535][147390] Loss_D: -0.021319 Loss_G: 0.006210 Loss_D_real: -0.004269 Loss_D_fake 0.017050
[1428/5000][345/535][147391] Loss_D: -0.020406 Loss_G: 0.026146 Loss_D_real: -0.017699 Loss_D_fake 0.002707
[1428/5000][350/535][147392] Loss_D: -0.019765 Loss_G: 0.003586 Loss_D_real: -0.011336 Loss_D_fake 0.008429
[1428/5000][355/535][147393] Loss_D: -0.020373 Loss_G: 0.018262 Loss_D_real: -0.038066 Loss_D_fake -0.017693
[1428/5000][360/535][147394] Loss_D: -0.020058 Loss_G: -0.001373 Loss_D_real: 0.000920 Loss_D_fake 0.020978
[1428/5000][365/535][147395] Loss_D: -0.020882 Loss_G: -0.002481 Loss_D_real: -0.014594 Loss_D_fake 0.006289
[1428/5000][370/535][147396] Loss_D: -0.020333 Loss_G: -0.003357 Loss_D_real: -0.017492 Loss_D_fake 0.002841
[1428/5000][375/535][147397] Loss_D: -0.020150 Loss_G: 0.018450 Loss_D_real: -0.030065 Loss_D_fake -0.009916
[1428/5000][380/535][147398] Loss_D: -0.020339 Loss_G: -0.019227 Loss_D_real: -0.005734 Loss_D_fake 0.014605
[1428/5000][385/535][147399] Loss_D: -0.019604 Loss_G: 0.016173 Loss_D_real: -0.017785 Loss_D_fake 0.001819
[1428/5000][390/535][147400] Loss_D: -0.020800 Loss_G: -0.003265 Loss_D_real: -0.016288 Loss_D_fake 0.004512
[1428/5000][395/535][147401] Loss_D: -0.020861 Loss_G: -0.002040 Loss_D_real: -0.005003 Loss_D_fake 0.015858
[1428/5000][400/535][147402] Loss_D: -0.020312 Loss_G: 0.001412 Loss_D_real: -0.018868 Loss_D_fake 0.001444
[1428/5000][405/535][147403] Loss_D: -0.020382 Loss_G: 0.022595 Loss_D_real: -0.028182 Loss_D_fake -0.007800
[1428/5000][410/535][147404] Loss_D: -0.020488 Loss_G: 0.003472 Loss_D_real: -0.014319 Loss_D_fake 0.006169
[1428/5000][415/535][147405] Loss_D: -0.020273 Loss_G: 0.007798 Loss_D_real: -0.013951 Loss_D_fake 0.006322
[1428/5000][420/535][147406] Loss_D: -0.020613 Loss_G: 0.005141 Loss_D_real: -0.010067 Loss_D_fake 0.010547
[1428/5000][425/535][147407] Loss_D: -0.021998 Loss_G: 0.020802 Loss_D_real: -0.014703 Loss_D_fake 0.007294
[1428/5000][430/535][147408] Loss_D: -0.018578 Loss_G: -0.009856 Loss_D_real: -0.004680 Loss_D_fake 0.013897
[1428/5000][435/535][147409] Loss_D: -0.019491 Loss_G: 0.012728 Loss_D_real: -0.013341 Loss_D_fake 0.006149
[1428/5000][440/535][147410] Loss_D: -0.019150 Loss_G: 0.002144 Loss_D_real: -0.027920 Loss_D_fake -0.008771
[1428/5000][445/535][147411] Loss_D: -0.018350 Loss_G: -0.024891 Loss_D_real: 0.002515 Loss_D_fake 0.020866
[1428/5000][450/535][147412] Loss_D: -0.019690 Loss_G: 0.008661 Loss_D_real: -0.019080 Loss_D_fake 0.000610
[1428/5000][455/535][147413] Loss_D: -0.019582 Loss_G: 0.016096 Loss_D_real: -0.028362 Loss_D_fake -0.008780
[1428/5000][460/535][147414] Loss_D: -0.019034 Loss_G: 0.023826 Loss_D_real: -0.037399 Loss_D_fake -0.018365
[1428/5000][465/535][147415] Loss_D: -0.018653 Loss_G: -0.020427 Loss_D_real: -0.005150 Loss_D_fake 0.013503
[1428/5000][470/535][147416] Loss_D: -0.020094 Loss_G: 0.006446 Loss_D_real: -0.013021 Loss_D_fake 0.007074
[1428/5000][475/535][147417] Loss_D: -0.019378 Loss_G: 0.002177 Loss_D_real: 0.004466 Loss_D_fake 0.023844
[1428/5000][480/535][147418] Loss_D: -0.018862 Loss_G: -0.016087 Loss_D_real: -0.000579 Loss_D_fake 0.018283
[1428/5000][485/535][147419] Loss_D: -0.016991 Loss_G: -0.011199 Loss_D_real: -0.003145 Loss_D_fake 0.013846
[1428/5000][490/535][147420] Loss_D: -0.018222 Loss_G: 0.025178 Loss_D_real: -0.025404 Loss_D_fake -0.007181
[1428/5000][495/535][147421] Loss_D: -0.019804 Loss_G: -0.006056 Loss_D_real: -0.005466 Loss_D_fake 0.014338
[1428/5000][500/535][147422] Loss_D: -0.019192 Loss_G: 0.005235 Loss_D_real: -0.009969 Loss_D_fake 0.009223
[1428/5000][505/535][147423] Loss_D: -0.019033 Loss_G: 0.009138 Loss_D_real: -0.023892 Loss_D_fake -0.004860
[1428/5000][510/535][147424] Loss_D: -0.020056 Loss_G: 0.009317 Loss_D_real: -0.015610 Loss_D_fake 0.004446
[1428/5000][515/535][147425] Loss_D: -0.021128 Loss_G: 0.018530 Loss_D_real: -0.024152 Loss_D_fake -0.003024
[1428/5000][520/535][147426] Loss_D: -0.019481 Loss_G: 0.011735 Loss_D_real: -0.016946 Loss_D_fake 0.002535
[1428/5000][525/535][147427] Loss_D: -0.018920 Loss_G: -0.000619 Loss_D_real: -0.008000 Loss_D_fake 0.010920
[1428/5000][530/535][147428] Loss_D: -0.019393 Loss_G: 0.004612 Loss_D_real: -0.014907 Loss_D_fake 0.004487
[1428/5000][535/535][147429] Loss_D: -0.018791 Loss_G: 0.000049 Loss_D_real: -0.007692 Loss_D_fake 0.011099
[1429/5000][5/535][147430] Loss_D: -0.019024 Loss_G: -0.009570 Loss_D_real: 0.000878 Loss_D_fake 0.019902
[1429/5000][10/535][147431] Loss_D: -0.018129 Loss_G: 0.024219 Loss_D_real: -0.030238 Loss_D_fake -0.012110
[1429/5000][15/535][147432] Loss_D: -0.019267 Loss_G: -0.008802 Loss_D_real: 0.007444 Loss_D_fake 0.026712
[1429/5000][20/535][147433] Loss_D: -0.019156 Loss_G: 0.008667 Loss_D_real: -0.008351 Loss_D_fake 0.010805
[1429/5000][25/535][147434] Loss_D: -0.021588 Loss_G: 0.005191 Loss_D_real: -0.015257 Loss_D_fake 0.006331
[1429/5000][30/535][147435] Loss_D: -0.021536 Loss_G: 0.015933 Loss_D_real: -0.010079 Loss_D_fake 0.011457
[1429/5000][35/535][147436] Loss_D: -0.021132 Loss_G: -0.008521 Loss_D_real: -0.013608 Loss_D_fake 0.007523
[1429/5000][40/535][147437] Loss_D: -0.020570 Loss_G: 0.022236 Loss_D_real: -0.027270 Loss_D_fake -0.006700
[1429/5000][45/535][147438] Loss_D: -0.021306 Loss_G: 0.018474 Loss_D_real: -0.019017 Loss_D_fake 0.002290
[1429/5000][50/535][147439] Loss_D: -0.020525 Loss_G: -0.000928 Loss_D_real: -0.015238 Loss_D_fake 0.005287
[1429/5000][55/535][147440] Loss_D: -0.020923 Loss_G: -0.011151 Loss_D_real: -0.001853 Loss_D_fake 0.019070
[1429/5000][60/535][147441] Loss_D: -0.020605 Loss_G: 0.000129 Loss_D_real: -0.024162 Loss_D_fake -0.003557
[1429/5000][65/535][147442] Loss_D: -0.017678 Loss_G: 0.013856 Loss_D_real: -0.031830 Loss_D_fake -0.014153
[1429/5000][70/535][147443] Loss_D: -0.020456 Loss_G: 0.014213 Loss_D_real: -0.021048 Loss_D_fake -0.000593
[1429/5000][75/535][147444] Loss_D: -0.019950 Loss_G: 0.020114 Loss_D_real: -0.031906 Loss_D_fake -0.011956
[1429/5000][80/535][147445] Loss_D: -0.020034 Loss_G: 0.028093 Loss_D_real: -0.029735 Loss_D_fake -0.009701
[1429/5000][85/535][147446] Loss_D: -0.020395 Loss_G: 0.002580 Loss_D_real: -0.012082 Loss_D_fake 0.008313
[1429/5000][90/535][147447] Loss_D: -0.020069 Loss_G: -0.011339 Loss_D_real: -0.007297 Loss_D_fake 0.012771
[1429/5000][95/535][147448] Loss_D: -0.019011 Loss_G: 0.018353 Loss_D_real: -0.029519 Loss_D_fake -0.010508
[1429/5000][100/535][147449] Loss_D: -0.018339 Loss_G: -0.005143 Loss_D_real: -0.006644 Loss_D_fake 0.011695
[1429/5000][105/535][147450] Loss_D: -0.019188 Loss_G: 0.012223 Loss_D_real: -0.016603 Loss_D_fake 0.002584
[1429/5000][110/535][147451] Loss_D: -0.019430 Loss_G: 0.010901 Loss_D_real: -0.022375 Loss_D_fake -0.002945
[1429/5000][115/535][147452] Loss_D: -0.020852 Loss_G: 0.014577 Loss_D_real: -0.024823 Loss_D_fake -0.003970
[1429/5000][120/535][147453] Loss_D: -0.019691 Loss_G: 0.000596 Loss_D_real: -0.009474 Loss_D_fake 0.010217
[1429/5000][125/535][147454] Loss_D: -0.017869 Loss_G: 0.008866 Loss_D_real: -0.008183 Loss_D_fake 0.009686
[1429/5000][130/535][147455] Loss_D: -0.018516 Loss_G: 0.014882 Loss_D_real: -0.023085 Loss_D_fake -0.004569
[1429/5000][135/535][147456] Loss_D: -0.018988 Loss_G: -0.018427 Loss_D_real: -0.004421 Loss_D_fake 0.014567
[1429/5000][140/535][147457] Loss_D: -0.018410 Loss_G: 0.014693 Loss_D_real: -0.012609 Loss_D_fake 0.005802
[1429/5000][145/535][147458] Loss_D: -0.020740 Loss_G: -0.002235 Loss_D_real: -0.018627 Loss_D_fake 0.002112
[1429/5000][150/535][147459] Loss_D: -0.020512 Loss_G: 0.014003 Loss_D_real: -0.008615 Loss_D_fake 0.011897
[1429/5000][155/535][147460] Loss_D: -0.021610 Loss_G: -0.010514 Loss_D_real: -0.008550 Loss_D_fake 0.013061
[1429/5000][160/535][147461] Loss_D: -0.021196 Loss_G: 0.005940 Loss_D_real: -0.013566 Loss_D_fake 0.007630
[1429/5000][165/535][147462] Loss_D: -0.020939 Loss_G: 0.014436 Loss_D_real: -0.012510 Loss_D_fake 0.008430
[1429/5000][170/535][147463] Loss_D: -0.020896 Loss_G: 0.014637 Loss_D_real: -0.024025 Loss_D_fake -0.003129
[1429/5000][175/535][147464] Loss_D: -0.022043 Loss_G: 0.005176 Loss_D_real: -0.010728 Loss_D_fake 0.011315
[1429/5000][180/535][147465] Loss_D: -0.020518 Loss_G: 0.021303 Loss_D_real: -0.038144 Loss_D_fake -0.017626
[1429/5000][185/535][147466] Loss_D: -0.018711 Loss_G: 0.020578 Loss_D_real: -0.025458 Loss_D_fake -0.006747
[1429/5000][190/535][147467] Loss_D: -0.020389 Loss_G: 0.023425 Loss_D_real: -0.026433 Loss_D_fake -0.006044
[1429/5000][195/535][147468] Loss_D: -0.018924 Loss_G: -0.016579 Loss_D_real: -0.008606 Loss_D_fake 0.010318
[1429/5000][200/535][147469] Loss_D: -0.019436 Loss_G: 0.020398 Loss_D_real: -0.025536 Loss_D_fake -0.006100
[1429/5000][205/535][147470] Loss_D: -0.019262 Loss_G: -0.001641 Loss_D_real: -0.016108 Loss_D_fake 0.003154
[1429/5000][210/535][147471] Loss_D: -0.017990 Loss_G: 0.019014 Loss_D_real: -0.020688 Loss_D_fake -0.002698
[1429/5000][215/535][147472] Loss_D: -0.018854 Loss_G: 0.027586 Loss_D_real: -0.019674 Loss_D_fake -0.000820
[1429/5000][220/535][147473] Loss_D: -0.019128 Loss_G: -0.010357 Loss_D_real: -0.009546 Loss_D_fake 0.009582
[1429/5000][225/535][147474] Loss_D: -0.018773 Loss_G: 0.004045 Loss_D_real: -0.007831 Loss_D_fake 0.010942
[1429/5000][230/535][147475] Loss_D: -0.020965 Loss_G: 0.006795 Loss_D_real: -0.022974 Loss_D_fake -0.002009
[1429/5000][235/535][147476] Loss_D: -0.019928 Loss_G: 0.004223 Loss_D_real: -0.024760 Loss_D_fake -0.004832
[1429/5000][240/535][147477] Loss_D: -0.020141 Loss_G: 0.001971 Loss_D_real: -0.014646 Loss_D_fake 0.005495
[1429/5000][245/535][147478] Loss_D: -0.019803 Loss_G: 0.001158 Loss_D_real: -0.013008 Loss_D_fake 0.006795
[1429/5000][250/535][147479] Loss_D: -0.019472 Loss_G: 0.013888 Loss_D_real: -0.016382 Loss_D_fake 0.003090
[1429/5000][255/535][147480] Loss_D: -0.019722 Loss_G: 0.013569 Loss_D_real: -0.020938 Loss_D_fake -0.001216
[1429/5000][260/535][147481] Loss_D: -0.020691 Loss_G: 0.005464 Loss_D_real: -0.032700 Loss_D_fake -0.012009
[1429/5000][265/535][147482] Loss_D: -0.021332 Loss_G: 0.000879 Loss_D_real: -0.014395 Loss_D_fake 0.006937
[1429/5000][270/535][147483] Loss_D: -0.019702 Loss_G: 0.014872 Loss_D_real: -0.036719 Loss_D_fake -0.017017
[1429/5000][275/535][147484] Loss_D: -0.018517 Loss_G: 0.014465 Loss_D_real: -0.006985 Loss_D_fake 0.011533
[1429/5000][280/535][147485] Loss_D: -0.019721 Loss_G: 0.024648 Loss_D_real: -0.019207 Loss_D_fake 0.000513
[1429/5000][285/535][147486] Loss_D: -0.020294 Loss_G: 0.012333 Loss_D_real: -0.017973 Loss_D_fake 0.002322
[1429/5000][290/535][147487] Loss_D: -0.020069 Loss_G: 0.010664 Loss_D_real: -0.025747 Loss_D_fake -0.005678
[1429/5000][295/535][147488] Loss_D: -0.020918 Loss_G: 0.017106 Loss_D_real: -0.020662 Loss_D_fake 0.000256
[1429/5000][300/535][147489] Loss_D: -0.020771 Loss_G: 0.003966 Loss_D_real: -0.009476 Loss_D_fake 0.011295
[1429/5000][305/535][147490] Loss_D: -0.020553 Loss_G: 0.017666 Loss_D_real: -0.025538 Loss_D_fake -0.004986
[1429/5000][310/535][147491] Loss_D: -0.020383 Loss_G: -0.003191 Loss_D_real: -0.017046 Loss_D_fake 0.003337
[1429/5000][315/535][147492] Loss_D: -0.020414 Loss_G: -0.000776 Loss_D_real: -0.019261 Loss_D_fake 0.001153
[1429/5000][320/535][147493] Loss_D: -0.020460 Loss_G: 0.007583 Loss_D_real: -0.021028 Loss_D_fake -0.000568
[1429/5000][325/535][147494] Loss_D: -0.019432 Loss_G: -0.022529 Loss_D_real: -0.007907 Loss_D_fake 0.011525
[1429/5000][330/535][147495] Loss_D: -0.019227 Loss_G: 0.016577 Loss_D_real: -0.030850 Loss_D_fake -0.011623
[1429/5000][335/535][147496] Loss_D: -0.019780 Loss_G: 0.006201 Loss_D_real: -0.001835 Loss_D_fake 0.017945
[1429/5000][340/535][147497] Loss_D: -0.019528 Loss_G: 0.013162 Loss_D_real: -0.020950 Loss_D_fake -0.001422
[1429/5000][345/535][147498] Loss_D: -0.020184 Loss_G: 0.016820 Loss_D_real: -0.016216 Loss_D_fake 0.003968
[1429/5000][350/535][147499] Loss_D: -0.019616 Loss_G: -0.009556 Loss_D_real: -0.010914 Loss_D_fake 0.008702
[1429/5000][355/535][147500] Loss_D: -0.020344 Loss_G: 0.014120 Loss_D_real: -0.014246 Loss_D_fake 0.006098
[1429/5000][455/535][147501] Loss_D: -0.022911 Loss_G: -0.005199 Loss_D_real: -0.016849 Loss_D_fake 0.006061
[1429/5000][460/535][147502] Loss_D: -0.017845 Loss_G: -0.004186 Loss_D_real: 0.003031 Loss_D_fake 0.020876
[1429/5000][465/535][147503] Loss_D: -0.018259 Loss_G: 0.002406 Loss_D_real: -0.026307 Loss_D_fake -0.008048
[1429/5000][470/535][147504] Loss_D: -0.019284 Loss_G: 0.006830 Loss_D_real: -0.009298 Loss_D_fake 0.009986
[1429/5000][475/535][147505] Loss_D: -0.017787 Loss_G: 0.025048 Loss_D_real: -0.031877 Loss_D_fake -0.014090
[1429/5000][480/535][147506] Loss_D: -0.018187 Loss_G: -0.007523 Loss_D_real: -0.004489 Loss_D_fake 0.013698
[1429/5000][485/535][147507] Loss_D: -0.019043 Loss_G: 0.012911 Loss_D_real: -0.011646 Loss_D_fake 0.007397
[1429/5000][490/535][147508] Loss_D: -0.019601 Loss_G: 0.001253 Loss_D_real: -0.012673 Loss_D_fake 0.006929
[1429/5000][495/535][147509] Loss_D: -0.019461 Loss_G: 0.004453 Loss_D_real: -0.011542 Loss_D_fake 0.007919
[1429/5000][500/535][147510] Loss_D: -0.018585 Loss_G: -0.006517 Loss_D_real: -0.015393 Loss_D_fake 0.003193
[1429/5000][505/535][147511] Loss_D: -0.019760 Loss_G: 0.008335 Loss_D_real: -0.039110 Loss_D_fake -0.019351
[1429/5000][510/535][147512] Loss_D: -0.018845 Loss_G: 0.005553 Loss_D_real: -0.016037 Loss_D_fake 0.002808
[1429/5000][515/535][147513] Loss_D: -0.018567 Loss_G: 0.021408 Loss_D_real: -0.022929 Loss_D_fake -0.004362
[1429/5000][520/535][147514] Loss_D: -0.019933 Loss_G: 0.019661 Loss_D_real: -0.017227 Loss_D_fake 0.002706
[1429/5000][525/535][147515] Loss_D: -0.019783 Loss_G: -0.005847 Loss_D_real: -0.011989 Loss_D_fake 0.007794
[1429/5000][530/535][147516] Loss_D: -0.020234 Loss_G: 0.008312 Loss_D_real: -0.003098 Loss_D_fake 0.017136
[1429/5000][535/535][147517] Loss_D: -0.017209 Loss_G: 0.011062 Loss_D_real: 0.002283 Loss_D_fake 0.019492
[1430/5000][5/535][147518] Loss_D: -0.020047 Loss_G: 0.015616 Loss_D_real: -0.022024 Loss_D_fake -0.001976
[1430/5000][10/535][147519] Loss_D: -0.019669 Loss_G: 0.013863 Loss_D_real: -0.021571 Loss_D_fake -0.001903
[1430/5000][15/535][147520] Loss_D: -0.019544 Loss_G: 0.007207 Loss_D_real: -0.026860 Loss_D_fake -0.007316
[1430/5000][20/535][147521] Loss_D: -0.021282 Loss_G: 0.019360 Loss_D_real: -0.023462 Loss_D_fake -0.002179
[1430/5000][25/535][147522] Loss_D: -0.018605 Loss_G: 0.008991 Loss_D_real: -0.011044 Loss_D_fake 0.007561
[1430/5000][30/535][147523] Loss_D: -0.020565 Loss_G: -0.002030 Loss_D_real: -0.018104 Loss_D_fake 0.002461
[1430/5000][35/535][147524] Loss_D: -0.018787 Loss_G: 0.007922 Loss_D_real: -0.018465 Loss_D_fake 0.000322
[1430/5000][40/535][147525] Loss_D: -0.019552 Loss_G: 0.026766 Loss_D_real: -0.027469 Loss_D_fake -0.007917
[1430/5000][45/535][147526] Loss_D: -0.019672 Loss_G: 0.010862 Loss_D_real: -0.006241 Loss_D_fake 0.013431
[1430/5000][50/535][147527] Loss_D: -0.021239 Loss_G: -0.006087 Loss_D_real: -0.017196 Loss_D_fake 0.004044
[1430/5000][55/535][147528] Loss_D: -0.018439 Loss_G: 0.008893 Loss_D_real: -0.016976 Loss_D_fake 0.001463
[1430/5000][60/535][147529] Loss_D: -0.020785 Loss_G: -0.013186 Loss_D_real: -0.015324 Loss_D_fake 0.005461
[1430/5000][65/535][147530] Loss_D: -0.019125 Loss_G: 0.018025 Loss_D_real: -0.010628 Loss_D_fake 0.008496
[1430/5000][70/535][147531] Loss_D: -0.021037 Loss_G: -0.006885 Loss_D_real: -0.003052 Loss_D_fake 0.017984
[1430/5000][75/535][147532] Loss_D: -0.020799 Loss_G: -0.006222 Loss_D_real: 0.000045 Loss_D_fake 0.020844
[1430/5000][80/535][147533] Loss_D: -0.018923 Loss_G: -0.006514 Loss_D_real: -0.010412 Loss_D_fake 0.008511
[1430/5000][85/535][147534] Loss_D: -0.021004 Loss_G: 0.002340 Loss_D_real: -0.004539 Loss_D_fake 0.016465
[1430/5000][90/535][147535] Loss_D: -0.018820 Loss_G: 0.021265 Loss_D_real: -0.025773 Loss_D_fake -0.006953
[1430/5000][95/535][147536] Loss_D: -0.018466 Loss_G: 0.025406 Loss_D_real: -0.031972 Loss_D_fake -0.013505
[1430/5000][100/535][147537] Loss_D: -0.021516 Loss_G: 0.004656 Loss_D_real: -0.029013 Loss_D_fake -0.007497
[1430/5000][105/535][147538] Loss_D: -0.019243 Loss_G: 0.005863 Loss_D_real: -0.012415 Loss_D_fake 0.006827
[1430/5000][110/535][147539] Loss_D: -0.018887 Loss_G: 0.018800 Loss_D_real: -0.036742 Loss_D_fake -0.017855
[1430/5000][115/535][147540] Loss_D: -0.020128 Loss_G: 0.011897 Loss_D_real: -0.015563 Loss_D_fake 0.004565
[1430/5000][120/535][147541] Loss_D: -0.019916 Loss_G: 0.014338 Loss_D_real: -0.021672 Loss_D_fake -0.001756
[1430/5000][125/535][147542] Loss_D: -0.019466 Loss_G: -0.001012 Loss_D_real: -0.022218 Loss_D_fake -0.002752
[1430/5000][130/535][147543] Loss_D: -0.019627 Loss_G: 0.008250 Loss_D_real: -0.019112 Loss_D_fake 0.000516
[1430/5000][135/535][147544] Loss_D: -0.018606 Loss_G: 0.024252 Loss_D_real: -0.040156 Loss_D_fake -0.021550
[1430/5000][140/535][147545] Loss_D: -0.019202 Loss_G: 0.009669 Loss_D_real: -0.021519 Loss_D_fake -0.002318
[1430/5000][145/535][147546] Loss_D: -0.021267 Loss_G: 0.016544 Loss_D_real: -0.015917 Loss_D_fake 0.005350
[1430/5000][150/535][147547] Loss_D: -0.021486 Loss_G: 0.013820 Loss_D_real: -0.030367 Loss_D_fake -0.008881
[1430/5000][155/535][147548] Loss_D: -0.020101 Loss_G: 0.004107 Loss_D_real: -0.015528 Loss_D_fake 0.004573
[1430/5000][160/535][147549] Loss_D: -0.018980 Loss_G: 0.009071 Loss_D_real: -0.021653 Loss_D_fake -0.002673
[1430/5000][165/535][147550] Loss_D: -0.018957 Loss_G: 0.007717 Loss_D_real: -0.024108 Loss_D_fake -0.005152
[1430/5000][170/535][147551] Loss_D: -0.020159 Loss_G: 0.022714 Loss_D_real: -0.017272 Loss_D_fake 0.002887
[1430/5000][175/535][147552] Loss_D: -0.019515 Loss_G: -0.010653 Loss_D_real: -0.008584 Loss_D_fake 0.010931
[1430/5000][180/535][147553] Loss_D: -0.017002 Loss_G: 0.033249 Loss_D_real: -0.043390 Loss_D_fake -0.026388
[1430/5000][185/535][147554] Loss_D: -0.020367 Loss_G: 0.007612 Loss_D_real: -0.019156 Loss_D_fake 0.001211
[1430/5000][190/535][147555] Loss_D: -0.021650 Loss_G: 0.003916 Loss_D_real: -0.011812 Loss_D_fake 0.009839
[1430/5000][195/535][147556] Loss_D: -0.021046 Loss_G: 0.017363 Loss_D_real: -0.018298 Loss_D_fake 0.002748
[1430/5000][200/535][147557] Loss_D: -0.019627 Loss_G: 0.001849 Loss_D_real: -0.012096 Loss_D_fake 0.007530
[1430/5000][205/535][147558] Loss_D: -0.020622 Loss_G: 0.024799 Loss_D_real: -0.010668 Loss_D_fake 0.009954
[1430/5000][210/535][147559] Loss_D: -0.020855 Loss_G: 0.011057 Loss_D_real: -0.029959 Loss_D_fake -0.009104
[1430/5000][215/535][147560] Loss_D: -0.019613 Loss_G: 0.031216 Loss_D_real: -0.021811 Loss_D_fake -0.002197
[1430/5000][220/535][147561] Loss_D: -0.019236 Loss_G: 0.005119 Loss_D_real: -0.017330 Loss_D_fake 0.001906
[1430/5000][225/535][147562] Loss_D: -0.020621 Loss_G: 0.006766 Loss_D_real: -0.020973 Loss_D_fake -0.000352
[1430/5000][230/535][147563] Loss_D: -0.019831 Loss_G: 0.009906 Loss_D_real: -0.006005 Loss_D_fake 0.013826
[1430/5000][235/535][147564] Loss_D: -0.019527 Loss_G: -0.007923 Loss_D_real: -0.003327 Loss_D_fake 0.016200
[1430/5000][240/535][147565] Loss_D: -0.020741 Loss_G: 0.009825 Loss_D_real: -0.010969 Loss_D_fake 0.009772
[1430/5000][245/535][147566] Loss_D: -0.020187 Loss_G: 0.019009 Loss_D_real: -0.016661 Loss_D_fake 0.003526
[1430/5000][250/535][147567] Loss_D: -0.019547 Loss_G: 0.019353 Loss_D_real: -0.022087 Loss_D_fake -0.002540
[1430/5000][255/535][147568] Loss_D: -0.020009 Loss_G: 0.018513 Loss_D_real: -0.018604 Loss_D_fake 0.001405
[1430/5000][260/535][147569] Loss_D: -0.021130 Loss_G: 0.000181 Loss_D_real: -0.026013 Loss_D_fake -0.004883
[1430/5000][265/535][147570] Loss_D: -0.020705 Loss_G: -0.008460 Loss_D_real: -0.024811 Loss_D_fake -0.004106
[1430/5000][270/535][147571] Loss_D: -0.021234 Loss_G: 0.010758 Loss_D_real: -0.014415 Loss_D_fake 0.006819
[1430/5000][275/535][147572] Loss_D: -0.020672 Loss_G: -0.000643 Loss_D_real: -0.030458 Loss_D_fake -0.009786
[1430/5000][280/535][147573] Loss_D: -0.019648 Loss_G: 0.002391 Loss_D_real: -0.006027 Loss_D_fake 0.013621
[1430/5000][285/535][147574] Loss_D: -0.019568 Loss_G: -0.000975 Loss_D_real: -0.009226 Loss_D_fake 0.010343
[1430/5000][290/535][147575] Loss_D: -0.020677 Loss_G: -0.019039 Loss_D_real: -0.006338 Loss_D_fake 0.014339
[1430/5000][295/535][147576] Loss_D: -0.018335 Loss_G: 0.009237 Loss_D_real: -0.021790 Loss_D_fake -0.003455
[1430/5000][300/535][147577] Loss_D: -0.019772 Loss_G: 0.001670 Loss_D_real: -0.001315 Loss_D_fake 0.018457
[1430/5000][305/535][147578] Loss_D: -0.018805 Loss_G: 0.002974 Loss_D_real: -0.020434 Loss_D_fake -0.001629
[1430/5000][310/535][147579] Loss_D: -0.018413 Loss_G: -0.006327 Loss_D_real: -0.011623 Loss_D_fake 0.006790
[1430/5000][315/535][147580] Loss_D: -0.020803 Loss_G: -0.007367 Loss_D_real: -0.014130 Loss_D_fake 0.006674
[1430/5000][320/535][147581] Loss_D: -0.019530 Loss_G: 0.017702 Loss_D_real: -0.013482 Loss_D_fake 0.006048
[1430/5000][325/535][147582] Loss_D: -0.019521 Loss_G: -0.018299 Loss_D_real: -0.010106 Loss_D_fake 0.009415
[1430/5000][330/535][147583] Loss_D: -0.018904 Loss_G: 0.018866 Loss_D_real: -0.023551 Loss_D_fake -0.004647
[1430/5000][335/535][147584] Loss_D: -0.017997 Loss_G: 0.012929 Loss_D_real: -0.031185 Loss_D_fake -0.013188
[1430/5000][340/535][147585] Loss_D: -0.021194 Loss_G: 0.009318 Loss_D_real: -0.034855 Loss_D_fake -0.013661
[1430/5000][345/535][147586] Loss_D: -0.020896 Loss_G: 0.018017 Loss_D_real: -0.031510 Loss_D_fake -0.010614
[1430/5000][350/535][147587] Loss_D: -0.019854 Loss_G: 0.005187 Loss_D_real: -0.014542 Loss_D_fake 0.005312
[1430/5000][355/535][147588] Loss_D: -0.019711 Loss_G: -0.008665 Loss_D_real: -0.021790 Loss_D_fake -0.002079
[1430/5000][360/535][147589] Loss_D: -0.019955 Loss_G: 0.010480 Loss_D_real: -0.025631 Loss_D_fake -0.005676
[1430/5000][365/535][147590] Loss_D: -0.019641 Loss_G: -0.004530 Loss_D_real: -0.003368 Loss_D_fake 0.016273
[1430/5000][370/535][147591] Loss_D: -0.020028 Loss_G: -0.007635 Loss_D_real: -0.014557 Loss_D_fake 0.005471
[1430/5000][375/535][147592] Loss_D: -0.020405 Loss_G: 0.014048 Loss_D_real: -0.021429 Loss_D_fake -0.001025
[1430/5000][380/535][147593] Loss_D: -0.020449 Loss_G: 0.010477 Loss_D_real: -0.013062 Loss_D_fake 0.007387
[1430/5000][385/535][147594] Loss_D: -0.019972 Loss_G: -0.006304 Loss_D_real: -0.004055 Loss_D_fake 0.015918
[1430/5000][390/535][147595] Loss_D: -0.019062 Loss_G: 0.008240 Loss_D_real: -0.016090 Loss_D_fake 0.002971
[1430/5000][395/535][147596] Loss_D: -0.019860 Loss_G: -0.002558 Loss_D_real: -0.004486 Loss_D_fake 0.015374
[1430/5000][400/535][147597] Loss_D: -0.019728 Loss_G: -0.012347 Loss_D_real: -0.005734 Loss_D_fake 0.013994
[1430/5000][405/535][147598] Loss_D: -0.019443 Loss_G: -0.001154 Loss_D_real: -0.002387 Loss_D_fake 0.017056
[1430/5000][410/535][147599] Loss_D: -0.018956 Loss_G: 0.023251 Loss_D_real: -0.022041 Loss_D_fake -0.003084
[1430/5000][415/535][147600] Loss_D: -0.019038 Loss_G: 0.029916 Loss_D_real: -0.026130 Loss_D_fake -0.007092
[1430/5000][420/535][147601] Loss_D: -0.021311 Loss_G: 0.003867 Loss_D_real: -0.018048 Loss_D_fake 0.003263
[1430/5000][425/535][147602] Loss_D: -0.019161 Loss_G: -0.010649 Loss_D_real: -0.002980 Loss_D_fake 0.016181
[1430/5000][430/535][147603] Loss_D: -0.019054 Loss_G: 0.024029 Loss_D_real: -0.028390 Loss_D_fake -0.009335
[1430/5000][435/535][147604] Loss_D: -0.018689 Loss_G: 0.017871 Loss_D_real: -0.033530 Loss_D_fake -0.014841
[1430/5000][440/535][147605] Loss_D: -0.020138 Loss_G: 0.002512 Loss_D_real: -0.009441 Loss_D_fake 0.010697
[1430/5000][445/535][147606] Loss_D: -0.020708 Loss_G: 0.001772 Loss_D_real: -0.030991 Loss_D_fake -0.010283
[1430/5000][450/535][147607] Loss_D: -0.019024 Loss_G: 0.019718 Loss_D_real: -0.035133 Loss_D_fake -0.016109
[1430/5000][455/535][147608] Loss_D: -0.020193 Loss_G: 0.001805 Loss_D_real: -0.004167 Loss_D_fake 0.016025
[1430/5000][460/535][147609] Loss_D: -0.020845 Loss_G: -0.004244 Loss_D_real: -0.018317 Loss_D_fake 0.002528
[1430/5000][465/535][147610] Loss_D: -0.019446 Loss_G: -0.008492 Loss_D_real: 0.001663 Loss_D_fake 0.021109
[1430/5000][470/535][147611] Loss_D: -0.019654 Loss_G: 0.001728 Loss_D_real: -0.000508 Loss_D_fake 0.019147
[1430/5000][475/535][147612] Loss_D: -0.019336 Loss_G: -0.005864 Loss_D_real: -0.004920 Loss_D_fake 0.014416
[1430/5000][480/535][147613] Loss_D: -0.019752 Loss_G: 0.007096 Loss_D_real: -0.023329 Loss_D_fake -0.003577
[1430/5000][485/535][147614] Loss_D: -0.019797 Loss_G: 0.011373 Loss_D_real: -0.016209 Loss_D_fake 0.003588
[1430/5000][490/535][147615] Loss_D: -0.017020 Loss_G: 0.019679 Loss_D_real: -0.026149 Loss_D_fake -0.009129
[1430/5000][495/535][147616] Loss_D: -0.019648 Loss_G: 0.006336 Loss_D_real: -0.017188 Loss_D_fake 0.002460
[1430/5000][500/535][147617] Loss_D: -0.020661 Loss_G: 0.000674 Loss_D_real: -0.016509 Loss_D_fake 0.004152
[1430/5000][505/535][147618] Loss_D: -0.018803 Loss_G: 0.038245 Loss_D_real: -0.027497 Loss_D_fake -0.008695
[1430/5000][510/535][147619] Loss_D: -0.020250 Loss_G: 0.012487 Loss_D_real: -0.020225 Loss_D_fake 0.000025
[1430/5000][515/535][147620] Loss_D: -0.020183 Loss_G: 0.001110 Loss_D_real: -0.024315 Loss_D_fake -0.004132
[1430/5000][520/535][147621] Loss_D: -0.020907 Loss_G: 0.011868 Loss_D_real: -0.024822 Loss_D_fake -0.003915
[1430/5000][525/535][147622] Loss_D: -0.019798 Loss_G: -0.010824 Loss_D_real: -0.024787 Loss_D_fake -0.004988
[1430/5000][530/535][147623] Loss_D: -0.020247 Loss_G: 0.001619 Loss_D_real: -0.005646 Loss_D_fake 0.014602
[1430/5000][535/535][147624] Loss_D: -0.018159 Loss_G: -0.021449 Loss_D_real: -0.007003 Loss_D_fake 0.011156
[1431/5000][5/535][147625] Loss_D: -0.018925 Loss_G: 0.019475 Loss_D_real: -0.017347 Loss_D_fake 0.001578
[1431/5000][10/535][147626] Loss_D: -0.019184 Loss_G: 0.019296 Loss_D_real: -0.020060 Loss_D_fake -0.000876
[1431/5000][15/535][147627] Loss_D: -0.020246 Loss_G: -0.005365 Loss_D_real: -0.001192 Loss_D_fake 0.019054
[1431/5000][20/535][147628] Loss_D: -0.020355 Loss_G: 0.015837 Loss_D_real: -0.012229 Loss_D_fake 0.008127
[1431/5000][25/535][147629] Loss_D: -0.019135 Loss_G: 0.023204 Loss_D_real: -0.029489 Loss_D_fake -0.010354
[1431/5000][30/535][147630] Loss_D: -0.020739 Loss_G: 0.003680 Loss_D_real: -0.009042 Loss_D_fake 0.011697
[1431/5000][35/535][147631] Loss_D: -0.020714 Loss_G: 0.007921 Loss_D_real: -0.011816 Loss_D_fake 0.008898
[1431/5000][40/535][147632] Loss_D: -0.020684 Loss_G: 0.000546 Loss_D_real: -0.004792 Loss_D_fake 0.015893
[1431/5000][45/535][147633] Loss_D: -0.019522 Loss_G: 0.020092 Loss_D_real: -0.019600 Loss_D_fake -0.000079
[1431/5000][50/535][147634] Loss_D: -0.019105 Loss_G: 0.015875 Loss_D_real: -0.028619 Loss_D_fake -0.009515
[1431/5000][55/535][147635] Loss_D: -0.020104 Loss_G: -0.008838 Loss_D_real: -0.016071 Loss_D_fake 0.004032
[1431/5000][60/535][147636] Loss_D: -0.019602 Loss_G: 0.009432 Loss_D_real: -0.010600 Loss_D_fake 0.009002
[1431/5000][65/535][147637] Loss_D: -0.020692 Loss_G: 0.007605 Loss_D_real: -0.027367 Loss_D_fake -0.006676
[1431/5000][70/535][147638] Loss_D: -0.020409 Loss_G: -0.003280 Loss_D_real: -0.006490 Loss_D_fake 0.013919
[1431/5000][75/535][147639] Loss_D: -0.020791 Loss_G: 0.006712 Loss_D_real: -0.017784 Loss_D_fake 0.003007
[1431/5000][80/535][147640] Loss_D: -0.020533 Loss_G: 0.000452 Loss_D_real: -0.007548 Loss_D_fake 0.012985
[1431/5000][85/535][147641] Loss_D: -0.020901 Loss_G: -0.008640 Loss_D_real: -0.001828 Loss_D_fake 0.019074
[1431/5000][90/535][147642] Loss_D: -0.018165 Loss_G: -0.018856 Loss_D_real: -0.006792 Loss_D_fake 0.011373
[1431/5000][95/535][147643] Loss_D: -0.020356 Loss_G: -0.005646 Loss_D_real: -0.004424 Loss_D_fake 0.015932
[1431/5000][100/535][147644] Loss_D: -0.019658 Loss_G: -0.000735 Loss_D_real: -0.009668 Loss_D_fake 0.009990
[1431/5000][105/535][147645] Loss_D: -0.019154 Loss_G: 0.021810 Loss_D_real: -0.032509 Loss_D_fake -0.013356
[1431/5000][110/535][147646] Loss_D: -0.018420 Loss_G: 0.019498 Loss_D_real: -0.034972 Loss_D_fake -0.016552
[1431/5000][115/535][147647] Loss_D: -0.019864 Loss_G: 0.006284 Loss_D_real: -0.017454 Loss_D_fake 0.002410
[1431/5000][120/535][147648] Loss_D: -0.020429 Loss_G: 0.002591 Loss_D_real: -0.020287 Loss_D_fake 0.000142
[1431/5000][125/535][147649] Loss_D: -0.018884 Loss_G: -0.009023 Loss_D_real: -0.009750 Loss_D_fake 0.009133
[1431/5000][130/535][147650] Loss_D: -0.018859 Loss_G: 0.023716 Loss_D_real: -0.021232 Loss_D_fake -0.002372
[1431/5000][135/535][147651] Loss_D: -0.020342 Loss_G: 0.017233 Loss_D_real: -0.015522 Loss_D_fake 0.004820
[1431/5000][140/535][147652] Loss_D: -0.019927 Loss_G: 0.006980 Loss_D_real: -0.000358 Loss_D_fake 0.019569
[1431/5000][145/535][147653] Loss_D: -0.018125 Loss_G: 0.011134 Loss_D_real: -0.019010 Loss_D_fake -0.000885
[1431/5000][150/535][147654] Loss_D: -0.018057 Loss_G: 0.013728 Loss_D_real: -0.023479 Loss_D_fake -0.005422
[1431/5000][155/535][147655] Loss_D: -0.019819 Loss_G: -0.010024 Loss_D_real: -0.019991 Loss_D_fake -0.000172
[1431/5000][160/535][147656] Loss_D: -0.018783 Loss_G: 0.008230 Loss_D_real: -0.015176 Loss_D_fake 0.003607
[1431/5000][165/535][147657] Loss_D: -0.018807 Loss_G: 0.005200 Loss_D_real: -0.014730 Loss_D_fake 0.004077
[1431/5000][170/535][147658] Loss_D: -0.019673 Loss_G: 0.022024 Loss_D_real: -0.026987 Loss_D_fake -0.007314
[1431/5000][175/535][147659] Loss_D: -0.019603 Loss_G: 0.008752 Loss_D_real: -0.013584 Loss_D_fake 0.006019
[1431/5000][180/535][147660] Loss_D: -0.019129 Loss_G: 0.020602 Loss_D_real: -0.026772 Loss_D_fake -0.007643
[1431/5000][185/535][147661] Loss_D: -0.020304 Loss_G: 0.010255 Loss_D_real: -0.019439 Loss_D_fake 0.000865
[1431/5000][190/535][147662] Loss_D: -0.022130 Loss_G: 0.009487 Loss_D_real: -0.015806 Loss_D_fake 0.006324
[1431/5000][195/535][147663] Loss_D: -0.019278 Loss_G: -0.006782 Loss_D_real: -0.000069 Loss_D_fake 0.019210
[1431/5000][200/535][147664] Loss_D: -0.019819 Loss_G: 0.010615 Loss_D_real: -0.031745 Loss_D_fake -0.011926
[1431/5000][205/535][147665] Loss_D: -0.018821 Loss_G: -0.006086 Loss_D_real: -0.003579 Loss_D_fake 0.015241
[1431/5000][210/535][147666] Loss_D: -0.019368 Loss_G: 0.014626 Loss_D_real: -0.024076 Loss_D_fake -0.004708
[1431/5000][215/535][147667] Loss_D: -0.021058 Loss_G: 0.009218 Loss_D_real: -0.017693 Loss_D_fake 0.003366
[1431/5000][220/535][147668] Loss_D: -0.019898 Loss_G: -0.004299 Loss_D_real: -0.016082 Loss_D_fake 0.003816
[1431/5000][225/535][147669] Loss_D: -0.020241 Loss_G: -0.009425 Loss_D_real: -0.015927 Loss_D_fake 0.004314
[1431/5000][230/535][147670] Loss_D: -0.019809 Loss_G: 0.022418 Loss_D_real: -0.023009 Loss_D_fake -0.003199
[1431/5000][235/535][147671] Loss_D: -0.020725 Loss_G: 0.002987 Loss_D_real: -0.004469 Loss_D_fake 0.016255
[1431/5000][240/535][147672] Loss_D: -0.020291 Loss_G: 0.001296 Loss_D_real: -0.014005 Loss_D_fake 0.006286
[1431/5000][245/535][147673] Loss_D: -0.017211 Loss_G: 0.035696 Loss_D_real: -0.037906 Loss_D_fake -0.020695
[1431/5000][250/535][147674] Loss_D: -0.020043 Loss_G: -0.008900 Loss_D_real: -0.006952 Loss_D_fake 0.013091
[1431/5000][255/535][147675] Loss_D: -0.020446 Loss_G: 0.005924 Loss_D_real: -0.015060 Loss_D_fake 0.005385
[1431/5000][260/535][147676] Loss_D: -0.020616 Loss_G: 0.011142 Loss_D_real: -0.025383 Loss_D_fake -0.004767
[1431/5000][265/535][147677] Loss_D: -0.020913 Loss_G: 0.016154 Loss_D_real: -0.026695 Loss_D_fake -0.005782
[1431/5000][270/535][147678] Loss_D: -0.018686 Loss_G: 0.028641 Loss_D_real: -0.033638 Loss_D_fake -0.014953
[1431/5000][275/535][147679] Loss_D: -0.021667 Loss_G: 0.001786 Loss_D_real: -0.026068 Loss_D_fake -0.004401
[1431/5000][280/535][147680] Loss_D: -0.020728 Loss_G: -0.005503 Loss_D_real: -0.006878 Loss_D_fake 0.013850
[1431/5000][285/535][147681] Loss_D: -0.019228 Loss_G: -0.004567 Loss_D_real: -0.011760 Loss_D_fake 0.007468
[1431/5000][290/535][147682] Loss_D: -0.019367 Loss_G: 0.020822 Loss_D_real: -0.029270 Loss_D_fake -0.009903
[1431/5000][295/535][147683] Loss_D: -0.020132 Loss_G: -0.000118 Loss_D_real: -0.014593 Loss_D_fake 0.005539
[1431/5000][300/535][147684] Loss_D: -0.022210 Loss_G: 0.010882 Loss_D_real: -0.012107 Loss_D_fake 0.010102
[1431/5000][305/535][147685] Loss_D: -0.019494 Loss_G: 0.018327 Loss_D_real: -0.019718 Loss_D_fake -0.000224
[1431/5000][310/535][147686] Loss_D: -0.020466 Loss_G: 0.003833 Loss_D_real: -0.019900 Loss_D_fake 0.000566
[1431/5000][315/535][147687] Loss_D: -0.019458 Loss_G: 0.007868 Loss_D_real: -0.027948 Loss_D_fake -0.008490
[1431/5000][320/535][147688] Loss_D: -0.019132 Loss_G: -0.002305 Loss_D_real: -0.013984 Loss_D_fake 0.005148
[1431/5000][325/535][147689] Loss_D: -0.019005 Loss_G: 0.010287 Loss_D_real: -0.035915 Loss_D_fake -0.016910
[1431/5000][330/535][147690] Loss_D: -0.019915 Loss_G: 0.019310 Loss_D_real: -0.012820 Loss_D_fake 0.007095
[1431/5000][335/535][147691] Loss_D: -0.018949 Loss_G: 0.013340 Loss_D_real: -0.013975 Loss_D_fake 0.004974
[1431/5000][340/535][147692] Loss_D: -0.019307 Loss_G: 0.024191 Loss_D_real: -0.024879 Loss_D_fake -0.005573
[1431/5000][345/535][147693] Loss_D: -0.020054 Loss_G: 0.011593 Loss_D_real: -0.037585 Loss_D_fake -0.017531
[1431/5000][350/535][147694] Loss_D: -0.018615 Loss_G: 0.027561 Loss_D_real: -0.021077 Loss_D_fake -0.002462
[1431/5000][355/535][147695] Loss_D: -0.021650 Loss_G: -0.010928 Loss_D_real: -0.015103 Loss_D_fake 0.006547
[1431/5000][360/535][147696] Loss_D: -0.019852 Loss_G: 0.020047 Loss_D_real: -0.030601 Loss_D_fake -0.010748
[1431/5000][365/535][147697] Loss_D: -0.021235 Loss_G: 0.011775 Loss_D_real: -0.009294 Loss_D_fake 0.011941
[1431/5000][370/535][147698] Loss_D: -0.020520 Loss_G: 0.016948 Loss_D_real: -0.023450 Loss_D_fake -0.002930
[1431/5000][375/535][147699] Loss_D: -0.019639 Loss_G: 0.024927 Loss_D_real: -0.035348 Loss_D_fake -0.015709
[1431/5000][380/535][147700] Loss_D: -0.019460 Loss_G: 0.016061 Loss_D_real: -0.017494 Loss_D_fake 0.001966
[1431/5000][385/535][147701] Loss_D: -0.019897 Loss_G: -0.013391 Loss_D_real: -0.012612 Loss_D_fake 0.007285
[1431/5000][390/535][147702] Loss_D: -0.020562 Loss_G: 0.020794 Loss_D_real: -0.020681 Loss_D_fake -0.000120
[1431/5000][395/535][147703] Loss_D: -0.019932 Loss_G: 0.008254 Loss_D_real: -0.018110 Loss_D_fake 0.001822
[1431/5000][400/535][147704] Loss_D: -0.020098 Loss_G: 0.011196 Loss_D_real: -0.020959 Loss_D_fake -0.000861
[1431/5000][405/535][147705] Loss_D: -0.019683 Loss_G: -0.003192 Loss_D_real: -0.016132 Loss_D_fake 0.003551
[1431/5000][410/535][147706] Loss_D: -0.019946 Loss_G: 0.022896 Loss_D_real: -0.020711 Loss_D_fake -0.000765
[1431/5000][415/535][147707] Loss_D: -0.018516 Loss_G: 0.023441 Loss_D_real: -0.020416 Loss_D_fake -0.001900
[1431/5000][420/535][147708] Loss_D: -0.018440 Loss_G: -0.004941 Loss_D_real: -0.003818 Loss_D_fake 0.014623
[1431/5000][425/535][147709] Loss_D: -0.021380 Loss_G: -0.005289 Loss_D_real: -0.018526 Loss_D_fake 0.002854
[1431/5000][430/535][147710] Loss_D: -0.019769 Loss_G: 0.013305 Loss_D_real: -0.015914 Loss_D_fake 0.003855
[1431/5000][435/535][147711] Loss_D: -0.019084 Loss_G: -0.008594 Loss_D_real: -0.009625 Loss_D_fake 0.009459
[1431/5000][440/535][147712] Loss_D: -0.020568 Loss_G: 0.004830 Loss_D_real: -0.020641 Loss_D_fake -0.000073
[1431/5000][445/535][147713] Loss_D: -0.019061 Loss_G: 0.024578 Loss_D_real: -0.022788 Loss_D_fake -0.003727
[1431/5000][450/535][147714] Loss_D: -0.020289 Loss_G: -0.014193 Loss_D_real: -0.015601 Loss_D_fake 0.004688
[1431/5000][455/535][147715] Loss_D: -0.018152 Loss_G: -0.014699 Loss_D_real: 0.007566 Loss_D_fake 0.025718
[1431/5000][460/535][147716] Loss_D: -0.020329 Loss_G: 0.003837 Loss_D_real: -0.004993 Loss_D_fake 0.015337
[1431/5000][465/535][147717] Loss_D: -0.018507 Loss_G: 0.003040 Loss_D_real: -0.011144 Loss_D_fake 0.007364
[1431/5000][470/535][147718] Loss_D: -0.019854 Loss_G: -0.000182 Loss_D_real: -0.018743 Loss_D_fake 0.001111
[1431/5000][475/535][147719] Loss_D: -0.021423 Loss_G: 0.022494 Loss_D_real: -0.021700 Loss_D_fake -0.000277
[1431/5000][480/535][147720] Loss_D: -0.020456 Loss_G: 0.000631 Loss_D_real: -0.006865 Loss_D_fake 0.013591
[1431/5000][485/535][147721] Loss_D: -0.019805 Loss_G: 0.014997 Loss_D_real: -0.010730 Loss_D_fake 0.009075
[1431/5000][490/535][147722] Loss_D: -0.021007 Loss_G: 0.018399 Loss_D_real: -0.020863 Loss_D_fake 0.000143
[1431/5000][495/535][147723] Loss_D: -0.020930 Loss_G: 0.013813 Loss_D_real: -0.020770 Loss_D_fake 0.000159
[1431/5000][500/535][147724] Loss_D: -0.019254 Loss_G: -0.006923 Loss_D_real: -0.017221 Loss_D_fake 0.002033
[1431/5000][505/535][147725] Loss_D: -0.020658 Loss_G: -0.000720 Loss_D_real: -0.017959 Loss_D_fake 0.002698
[1431/5000][510/535][147726] Loss_D: -0.018835 Loss_G: -0.007960 Loss_D_real: -0.008534 Loss_D_fake 0.010301
[1431/5000][515/535][147727] Loss_D: -0.019901 Loss_G: 0.014525 Loss_D_real: -0.017977 Loss_D_fake 0.001923
[1431/5000][520/535][147728] Loss_D: -0.019219 Loss_G: 0.005269 Loss_D_real: -0.021086 Loss_D_fake -0.001867
[1431/5000][525/535][147729] Loss_D: -0.018560 Loss_G: -0.015316 Loss_D_real: -0.003546 Loss_D_fake 0.015014
[1431/5000][530/535][147730] Loss_D: -0.018815 Loss_G: 0.002777 Loss_D_real: -0.015182 Loss_D_fake 0.003634
[1431/5000][535/535][147731] Loss_D: -0.019317 Loss_G: 0.013725 Loss_D_real: -0.038737 Loss_D_fake -0.019420
[1432/5000][5/535][147732] Loss_D: -0.020967 Loss_G: 0.025661 Loss_D_real: -0.018123 Loss_D_fake 0.002843
[1432/5000][10/535][147733] Loss_D: -0.019244 Loss_G: 0.003923 Loss_D_real: -0.003600 Loss_D_fake 0.015643
[1432/5000][15/535][147734] Loss_D: -0.018425 Loss_G: 0.011321 Loss_D_real: -0.034750 Loss_D_fake -0.016325
[1432/5000][20/535][147735] Loss_D: -0.018677 Loss_G: 0.022212 Loss_D_real: -0.028913 Loss_D_fake -0.010236
[1432/5000][25/535][147736] Loss_D: -0.017754 Loss_G: -0.024249 Loss_D_real: 0.004102 Loss_D_fake 0.021856
[1432/5000][30/535][147737] Loss_D: -0.019019 Loss_G: 0.003776 Loss_D_real: -0.006217 Loss_D_fake 0.012802
[1432/5000][35/535][147738] Loss_D: -0.017892 Loss_G: -0.012638 Loss_D_real: 0.001950 Loss_D_fake 0.019841
[1432/5000][40/535][147739] Loss_D: -0.019233 Loss_G: 0.002907 Loss_D_real: -0.009860 Loss_D_fake 0.009373
[1432/5000][45/535][147740] Loss_D: -0.019452 Loss_G: 0.002706 Loss_D_real: -0.007986 Loss_D_fake 0.011467
[1432/5000][50/535][147741] Loss_D: -0.018770 Loss_G: 0.013472 Loss_D_real: -0.020011 Loss_D_fake -0.001241
[1432/5000][55/535][147742] Loss_D: -0.020628 Loss_G: 0.001384 Loss_D_real: -0.013860 Loss_D_fake 0.006768
[1432/5000][60/535][147743] Loss_D: -0.019827 Loss_G: 0.006181 Loss_D_real: -0.019256 Loss_D_fake 0.000572
[1432/5000][65/535][147744] Loss_D: -0.018510 Loss_G: 0.009193 Loss_D_real: -0.010323 Loss_D_fake 0.008186
[1432/5000][70/535][147745] Loss_D: -0.018911 Loss_G: 0.004515 Loss_D_real: -0.005944 Loss_D_fake 0.012968
[1432/5000][75/535][147746] Loss_D: -0.019830 Loss_G: -0.019467 Loss_D_real: -0.004133 Loss_D_fake 0.015697
[1432/5000][80/535][147747] Loss_D: -0.019607 Loss_G: 0.011750 Loss_D_real: -0.017497 Loss_D_fake 0.002110
[1432/5000][85/535][147748] Loss_D: -0.020841 Loss_G: 0.005938 Loss_D_real: -0.015651 Loss_D_fake 0.005189
[1432/5000][90/535][147749] Loss_D: -0.019175 Loss_G: 0.010315 Loss_D_real: -0.014977 Loss_D_fake 0.004198
[1432/5000][95/535][147750] Loss_D: -0.018864 Loss_G: 0.015877 Loss_D_real: -0.015368 Loss_D_fake 0.003496
[1432/5000][100/535][147751] Loss_D: -0.019432 Loss_G: 0.014743 Loss_D_real: -0.012964 Loss_D_fake 0.006469
[1432/5000][105/535][147752] Loss_D: -0.019627 Loss_G: 0.017354 Loss_D_real: -0.024247 Loss_D_fake -0.004619
[1432/5000][110/535][147753] Loss_D: -0.020043 Loss_G: 0.017724 Loss_D_real: -0.021614 Loss_D_fake -0.001571
[1432/5000][115/535][147754] Loss_D: -0.018809 Loss_G: 0.004709 Loss_D_real: -0.028991 Loss_D_fake -0.010182
[1432/5000][120/535][147755] Loss_D: -0.018259 Loss_G: 0.011784 Loss_D_real: -0.020240 Loss_D_fake -0.001981
[1432/5000][125/535][147756] Loss_D: -0.019448 Loss_G: -0.006999 Loss_D_real: -0.011659 Loss_D_fake 0.007788
[1432/5000][130/535][147757] Loss_D: -0.018754 Loss_G: 0.021860 Loss_D_real: -0.032689 Loss_D_fake -0.013934
[1432/5000][135/535][147758] Loss_D: -0.021796 Loss_G: 0.021909 Loss_D_real: -0.024745 Loss_D_fake -0.002949
[1432/5000][140/535][147759] Loss_D: -0.020008 Loss_G: 0.014391 Loss_D_real: -0.021022 Loss_D_fake -0.001014
[1432/5000][145/535][147760] Loss_D: -0.020863 Loss_G: 0.010696 Loss_D_real: -0.019800 Loss_D_fake 0.001063
[1432/5000][150/535][147761] Loss_D: -0.020892 Loss_G: 0.016476 Loss_D_real: -0.020793 Loss_D_fake 0.000099
[1432/5000][155/535][147762] Loss_D: -0.020948 Loss_G: -0.016268 Loss_D_real: -0.020589 Loss_D_fake 0.000359
[1432/5000][160/535][147763] Loss_D: -0.020720 Loss_G: 0.004101 Loss_D_real: -0.020376 Loss_D_fake 0.000345
[1432/5000][165/535][147764] Loss_D: -0.020814 Loss_G: 0.018822 Loss_D_real: -0.019337 Loss_D_fake 0.001477
[1432/5000][170/535][147765] Loss_D: -0.020642 Loss_G: -0.004392 Loss_D_real: -0.011345 Loss_D_fake 0.009297
[1432/5000][175/535][147766] Loss_D: -0.020036 Loss_G: -0.003689 Loss_D_real: -0.018900 Loss_D_fake 0.001136
[1432/5000][180/535][147767] Loss_D: -0.019450 Loss_G: 0.011680 Loss_D_real: -0.032433 Loss_D_fake -0.012983
[1432/5000][185/535][147768] Loss_D: -0.020369 Loss_G: 0.018140 Loss_D_real: -0.006772 Loss_D_fake 0.013597
[1432/5000][190/535][147769] Loss_D: -0.020800 Loss_G: 0.012378 Loss_D_real: -0.018422 Loss_D_fake 0.002377
[1432/5000][195/535][147770] Loss_D: -0.020161 Loss_G: 0.017735 Loss_D_real: -0.034584 Loss_D_fake -0.014423
[1432/5000][200/535][147771] Loss_D: -0.020731 Loss_G: 0.009052 Loss_D_real: -0.010778 Loss_D_fake 0.009953
[1432/5000][205/535][147772] Loss_D: -0.019512 Loss_G: -0.008933 Loss_D_real: -0.004092 Loss_D_fake 0.015420
[1432/5000][210/535][147773] Loss_D: -0.020077 Loss_G: 0.008090 Loss_D_real: -0.033699 Loss_D_fake -0.013622
[1432/5000][215/535][147774] Loss_D: -0.019510 Loss_G: 0.012215 Loss_D_real: -0.011931 Loss_D_fake 0.007579
[1432/5000][220/535][147775] Loss_D: -0.019951 Loss_G: 0.003516 Loss_D_real: -0.007595 Loss_D_fake 0.012356
[1432/5000][225/535][147776] Loss_D: -0.019693 Loss_G: 0.009305 Loss_D_real: -0.019915 Loss_D_fake -0.000222
[1432/5000][230/535][147777] Loss_D: -0.018952 Loss_G: -0.014706 Loss_D_real: -0.013522 Loss_D_fake 0.005431
[1432/5000][235/535][147778] Loss_D: -0.018964 Loss_G: -0.010996 Loss_D_real: 0.010542 Loss_D_fake 0.029506
[1432/5000][240/535][147779] Loss_D: -0.020606 Loss_G: 0.004215 Loss_D_real: -0.033622 Loss_D_fake -0.013016
[1432/5000][245/535][147780] Loss_D: -0.019925 Loss_G: 0.013748 Loss_D_real: -0.024830 Loss_D_fake -0.004905
[1432/5000][250/535][147781] Loss_D: -0.020010 Loss_G: -0.007293 Loss_D_real: 0.002934 Loss_D_fake 0.022944
[1432/5000][255/535][147782] Loss_D: -0.018431 Loss_G: 0.018121 Loss_D_real: -0.014542 Loss_D_fake 0.003889
[1432/5000][260/535][147783] Loss_D: -0.018063 Loss_G: -0.017842 Loss_D_real: -0.001742 Loss_D_fake 0.016321
[1432/5000][265/535][147784] Loss_D: -0.019492 Loss_G: -0.003329 Loss_D_real: 0.000559 Loss_D_fake 0.020051
[1432/5000][270/535][147785] Loss_D: -0.020253 Loss_G: -0.002571 Loss_D_real: -0.005425 Loss_D_fake 0.014828
[1432/5000][275/535][147786] Loss_D: -0.019878 Loss_G: 0.001504 Loss_D_real: -0.010586 Loss_D_fake 0.009292
[1432/5000][280/535][147787] Loss_D: -0.019845 Loss_G: 0.003971 Loss_D_real: -0.016081 Loss_D_fake 0.003764
[1432/5000][285/535][147788] Loss_D: -0.020334 Loss_G: 0.001040 Loss_D_real: -0.031144 Loss_D_fake -0.010809
[1432/5000][290/535][147789] Loss_D: -0.021145 Loss_G: 0.020669 Loss_D_real: -0.004230 Loss_D_fake 0.016915
[1432/5000][295/535][147790] Loss_D: -0.019945 Loss_G: 0.016428 Loss_D_real: -0.010403 Loss_D_fake 0.009542
[1432/5000][300/535][147791] Loss_D: -0.019790 Loss_G: 0.008671 Loss_D_real: -0.019712 Loss_D_fake 0.000078
[1432/5000][305/535][147792] Loss_D: -0.019245 Loss_G: 0.012503 Loss_D_real: -0.013880 Loss_D_fake 0.005364
[1432/5000][310/535][147793] Loss_D: -0.019335 Loss_G: 0.004423 Loss_D_real: -0.026456 Loss_D_fake -0.007121
[1432/5000][315/535][147794] Loss_D: -0.020453 Loss_G: 0.024654 Loss_D_real: -0.025723 Loss_D_fake -0.005271
[1432/5000][320/535][147795] Loss_D: -0.019679 Loss_G: 0.031079 Loss_D_real: -0.027628 Loss_D_fake -0.007949
[1432/5000][325/535][147796] Loss_D: -0.020106 Loss_G: 0.006307 Loss_D_real: -0.009707 Loss_D_fake 0.010399
[1432/5000][330/535][147797] Loss_D: -0.019593 Loss_G: 0.001291 Loss_D_real: -0.017125 Loss_D_fake 0.002468
[1432/5000][335/535][147798] Loss_D: -0.019377 Loss_G: 0.018092 Loss_D_real: -0.034736 Loss_D_fake -0.015359
[1432/5000][340/535][147799] Loss_D: -0.019906 Loss_G: -0.001907 Loss_D_real: -0.010428 Loss_D_fake 0.009478
[1432/5000][345/535][147800] Loss_D: -0.019221 Loss_G: 0.012520 Loss_D_real: -0.030719 Loss_D_fake -0.011498
[1432/5000][350/535][147801] Loss_D: -0.020302 Loss_G: 0.013057 Loss_D_real: -0.019291 Loss_D_fake 0.001011
[1432/5000][355/535][147802] Loss_D: -0.021604 Loss_G: 0.001597 Loss_D_real: -0.013156 Loss_D_fake 0.008448
[1432/5000][360/535][147803] Loss_D: -0.019188 Loss_G: -0.007978 Loss_D_real: -0.017352 Loss_D_fake 0.001836
[1432/5000][365/535][147804] Loss_D: -0.018971 Loss_G: 0.020301 Loss_D_real: -0.033913 Loss_D_fake -0.014942
[1432/5000][370/535][147805] Loss_D: -0.021092 Loss_G: -0.000964 Loss_D_real: 0.001053 Loss_D_fake 0.022145
[1432/5000][375/535][147806] Loss_D: -0.017348 Loss_G: -0.012576 Loss_D_real: -0.009222 Loss_D_fake 0.008127
[1432/5000][380/535][147807] Loss_D: -0.019820 Loss_G: 0.002148 Loss_D_real: -0.015284 Loss_D_fake 0.004537
[1432/5000][385/535][147808] Loss_D: -0.019959 Loss_G: 0.013945 Loss_D_real: -0.014591 Loss_D_fake 0.005368
[1432/5000][390/535][147809] Loss_D: -0.020192 Loss_G: 0.010593 Loss_D_real: -0.027883 Loss_D_fake -0.007690
[1432/5000][395/535][147810] Loss_D: -0.019338 Loss_G: -0.004922 Loss_D_real: -0.012796 Loss_D_fake 0.006541
[1432/5000][400/535][147811] Loss_D: -0.019126 Loss_G: 0.019899 Loss_D_real: -0.032613 Loss_D_fake -0.013486
[1432/5000][405/535][147812] Loss_D: -0.021733 Loss_G: 0.000946 Loss_D_real: -0.023740 Loss_D_fake -0.002007
[1432/5000][410/535][147813] Loss_D: -0.021049 Loss_G: 0.002151 Loss_D_real: -0.011826 Loss_D_fake 0.009224
[1432/5000][415/535][147814] Loss_D: -0.019173 Loss_G: -0.010384 Loss_D_real: -0.002128 Loss_D_fake 0.017045
[1432/5000][420/535][147815] Loss_D: -0.018935 Loss_G: -0.006445 Loss_D_real: -0.010651 Loss_D_fake 0.008284
[1432/5000][425/535][147816] Loss_D: -0.020032 Loss_G: 0.013287 Loss_D_real: -0.022144 Loss_D_fake -0.002112
[1432/5000][430/535][147817] Loss_D: -0.020349 Loss_G: 0.011229 Loss_D_real: -0.018342 Loss_D_fake 0.002007
[1432/5000][435/535][147818] Loss_D: -0.019960 Loss_G: 0.005442 Loss_D_real: -0.003307 Loss_D_fake 0.016653
[1432/5000][440/535][147819] Loss_D: -0.019047 Loss_G: 0.015585 Loss_D_real: -0.021462 Loss_D_fake -0.002415
[1432/5000][445/535][147820] Loss_D: -0.021790 Loss_G: -0.013499 Loss_D_real: -0.018151 Loss_D_fake 0.003638
[1432/5000][450/535][147821] Loss_D: -0.020709 Loss_G: 0.012797 Loss_D_real: -0.027326 Loss_D_fake -0.006617
[1432/5000][455/535][147822] Loss_D: -0.020062 Loss_G: 0.008925 Loss_D_real: -0.013599 Loss_D_fake 0.006464
[1432/5000][460/535][147823] Loss_D: -0.019657 Loss_G: 0.012959 Loss_D_real: -0.019873 Loss_D_fake -0.000217
[1432/5000][465/535][147824] Loss_D: -0.019838 Loss_G: 0.018936 Loss_D_real: -0.021852 Loss_D_fake -0.002014
[1432/5000][470/535][147825] Loss_D: -0.020402 Loss_G: -0.005871 Loss_D_real: -0.010711 Loss_D_fake 0.009691
[1432/5000][475/535][147826] Loss_D: -0.018167 Loss_G: 0.019011 Loss_D_real: -0.035610 Loss_D_fake -0.017442
[1432/5000][480/535][147827] Loss_D: -0.019710 Loss_G: 0.015025 Loss_D_real: -0.020220 Loss_D_fake -0.000510
[1432/5000][485/535][147828] Loss_D: -0.018796 Loss_G: 0.005727 Loss_D_real: -0.007982 Loss_D_fake 0.010814
[1432/5000][490/535][147829] Loss_D: -0.017860 Loss_G: -0.020868 Loss_D_real: 0.001039 Loss_D_fake 0.018899
[1432/5000][495/535][147830] Loss_D: -0.018344 Loss_G: 0.008763 Loss_D_real: -0.012795 Loss_D_fake 0.005549
[1432/5000][500/535][147831] Loss_D: -0.018865 Loss_G: 0.022094 Loss_D_real: -0.028419 Loss_D_fake -0.009554
[1432/5000][505/535][147832] Loss_D: -0.019950 Loss_G: -0.000036 Loss_D_real: -0.015522 Loss_D_fake 0.004428
[1432/5000][510/535][147833] Loss_D: -0.020639 Loss_G: 0.011828 Loss_D_real: -0.019127 Loss_D_fake 0.001512
[1432/5000][515/535][147834] Loss_D: -0.021425 Loss_G: 0.002632 Loss_D_real: -0.011020 Loss_D_fake 0.010405
[1432/5000][520/535][147835] Loss_D: -0.019745 Loss_G: 0.035686 Loss_D_real: -0.033199 Loss_D_fake -0.013455
[1432/5000][525/535][147836] Loss_D: -0.019920 Loss_G: 0.006899 Loss_D_real: -0.024799 Loss_D_fake -0.004880
[1432/5000][530/535][147837] Loss_D: -0.020078 Loss_G: 0.000313 Loss_D_real: -0.003285 Loss_D_fake 0.016793
[1432/5000][535/535][147838] Loss_D: -0.020335 Loss_G: 0.007787 Loss_D_real: -0.021579 Loss_D_fake -0.001244
[1433/5000][5/535][147839] Loss_D: -0.020994 Loss_G: -0.019575 Loss_D_real: 0.000146 Loss_D_fake 0.021141
[1433/5000][10/535][147840] Loss_D: -0.020555 Loss_G: 0.003859 Loss_D_real: -0.010983 Loss_D_fake 0.009572
[1433/5000][15/535][147841] Loss_D: -0.019280 Loss_G: 0.018736 Loss_D_real: -0.024628 Loss_D_fake -0.005348
[1433/5000][20/535][147842] Loss_D: -0.019682 Loss_G: -0.010727 Loss_D_real: 0.000091 Loss_D_fake 0.019773
[1433/5000][25/535][147843] Loss_D: -0.020029 Loss_G: 0.015639 Loss_D_real: -0.012988 Loss_D_fake 0.007041
[1433/5000][30/535][147844] Loss_D: -0.020196 Loss_G: -0.007297 Loss_D_real: -0.003148 Loss_D_fake 0.017047
[1433/5000][35/535][147845] Loss_D: -0.019309 Loss_G: 0.011473 Loss_D_real: -0.011169 Loss_D_fake 0.008140
[1433/5000][40/535][147846] Loss_D: -0.020379 Loss_G: 0.019780 Loss_D_real: -0.009824 Loss_D_fake 0.010555
[1433/5000][45/535][147847] Loss_D: -0.021375 Loss_G: 0.007573 Loss_D_real: -0.018147 Loss_D_fake 0.003228
[1433/5000][50/535][147848] Loss_D: -0.021343 Loss_G: -0.004975 Loss_D_real: -0.020104 Loss_D_fake 0.001240
[1433/5000][55/535][147849] Loss_D: -0.019646 Loss_G: 0.000310 Loss_D_real: -0.004762 Loss_D_fake 0.014884
[1433/5000][60/535][147850] Loss_D: -0.020293 Loss_G: 0.017923 Loss_D_real: -0.022787 Loss_D_fake -0.002493
[1433/5000][65/535][147851] Loss_D: -0.019736 Loss_G: -0.005339 Loss_D_real: 0.000845 Loss_D_fake 0.020581
[1433/5000][70/535][147852] Loss_D: -0.020296 Loss_G: 0.013762 Loss_D_real: -0.020295 Loss_D_fake 0.000001
[1433/5000][75/535][147853] Loss_D: -0.019314 Loss_G: -0.004847 Loss_D_real: -0.003788 Loss_D_fake 0.015526
[1433/5000][80/535][147854] Loss_D: -0.019603 Loss_G: 0.002928 Loss_D_real: -0.007070 Loss_D_fake 0.012533
[1433/5000][85/535][147855] Loss_D: -0.018906 Loss_G: 0.026064 Loss_D_real: -0.024736 Loss_D_fake -0.005830
[1433/5000][90/535][147856] Loss_D: -0.019714 Loss_G: 0.011526 Loss_D_real: -0.021112 Loss_D_fake -0.001398
[1433/5000][95/535][147857] Loss_D: -0.019046 Loss_G: 0.004907 Loss_D_real: -0.010641 Loss_D_fake 0.008405
[1433/5000][100/535][147858] Loss_D: -0.018577 Loss_G: 0.022728 Loss_D_real: -0.038413 Loss_D_fake -0.019836
[1433/5000][105/535][147859] Loss_D: -0.019027 Loss_G: 0.014166 Loss_D_real: -0.036565 Loss_D_fake -0.017538
[1433/5000][110/535][147860] Loss_D: -0.019570 Loss_G: -0.013165 Loss_D_real: 0.003370 Loss_D_fake 0.022940
[1433/5000][115/535][147861] Loss_D: -0.019240 Loss_G: 0.008981 Loss_D_real: -0.013492 Loss_D_fake 0.005748
[1433/5000][120/535][147862] Loss_D: -0.019318 Loss_G: 0.003661 Loss_D_real: -0.016775 Loss_D_fake 0.002543
[1433/5000][125/535][147863] Loss_D: -0.019362 Loss_G: 0.010873 Loss_D_real: -0.024089 Loss_D_fake -0.004727
[1433/5000][130/535][147864] Loss_D: -0.021065 Loss_G: 0.003307 Loss_D_real: -0.013340 Loss_D_fake 0.007725
[1433/5000][135/535][147865] Loss_D: -0.020605 Loss_G: 0.021508 Loss_D_real: -0.020751 Loss_D_fake -0.000146
[1433/5000][140/535][147866] Loss_D: -0.018968 Loss_G: 0.012000 Loss_D_real: -0.012040 Loss_D_fake 0.006928
[1433/5000][145/535][147867] Loss_D: -0.019966 Loss_G: 0.024817 Loss_D_real: -0.035491 Loss_D_fake -0.015525
[1433/5000][150/535][147868] Loss_D: -0.021630 Loss_G: -0.013818 Loss_D_real: -0.011012 Loss_D_fake 0.010618
[1433/5000][155/535][147869] Loss_D: -0.020124 Loss_G: 0.002253 Loss_D_real: -0.012987 Loss_D_fake 0.007137
[1433/5000][160/535][147870] Loss_D: -0.020524 Loss_G: 0.023064 Loss_D_real: -0.029107 Loss_D_fake -0.008582
[1433/5000][165/535][147871] Loss_D: -0.019854 Loss_G: 0.024338 Loss_D_real: -0.029953 Loss_D_fake -0.010099
[1433/5000][170/535][147872] Loss_D: -0.019790 Loss_G: -0.018711 Loss_D_real: -0.000968 Loss_D_fake 0.018822
[1433/5000][175/535][147873] Loss_D: -0.019450 Loss_G: -0.005786 Loss_D_real: -0.010779 Loss_D_fake 0.008671
[1433/5000][180/535][147874] Loss_D: -0.018304 Loss_G: 0.019744 Loss_D_real: -0.038345 Loss_D_fake -0.020041
[1433/5000][185/535][147875] Loss_D: -0.019949 Loss_G: 0.012399 Loss_D_real: -0.028177 Loss_D_fake -0.008227
[1433/5000][190/535][147876] Loss_D: -0.020410 Loss_G: 0.001405 Loss_D_real: -0.017093 Loss_D_fake 0.003317
[1433/5000][195/535][147877] Loss_D: -0.017678 Loss_G: -0.008209 Loss_D_real: 0.006873 Loss_D_fake 0.024551
[1433/5000][200/535][147878] Loss_D: -0.018974 Loss_G: 0.028942 Loss_D_real: -0.018493 Loss_D_fake 0.000481
[1433/5000][205/535][147879] Loss_D: -0.017703 Loss_G: -0.006435 Loss_D_real: -0.006689 Loss_D_fake 0.011014
[1433/5000][210/535][147880] Loss_D: -0.020461 Loss_G: -0.004068 Loss_D_real: -0.012652 Loss_D_fake 0.007808
[1433/5000][215/535][147881] Loss_D: -0.018801 Loss_G: 0.019894 Loss_D_real: -0.023068 Loss_D_fake -0.004267
[1433/5000][220/535][147882] Loss_D: -0.020871 Loss_G: -0.003537 Loss_D_real: -0.015527 Loss_D_fake 0.005344
[1433/5000][225/535][147883] Loss_D: -0.018867 Loss_G: 0.026985 Loss_D_real: -0.027385 Loss_D_fake -0.008518
[1433/5000][230/535][147884] Loss_D: -0.019599 Loss_G: 0.024611 Loss_D_real: -0.029035 Loss_D_fake -0.009436
[1433/5000][235/535][147885] Loss_D: -0.019512 Loss_G: -0.006418 Loss_D_real: -0.002861 Loss_D_fake 0.016651
[1433/5000][240/535][147886] Loss_D: -0.019905 Loss_G: 0.012826 Loss_D_real: -0.014151 Loss_D_fake 0.005754
[1433/5000][245/535][147887] Loss_D: -0.019382 Loss_G: -0.001304 Loss_D_real: -0.018366 Loss_D_fake 0.001016
[1433/5000][250/535][147888] Loss_D: -0.017484 Loss_G: 0.021589 Loss_D_real: -0.023931 Loss_D_fake -0.006446
[1433/5000][255/535][147889] Loss_D: -0.018280 Loss_G: 0.015967 Loss_D_real: -0.021982 Loss_D_fake -0.003702
[1433/5000][260/535][147890] Loss_D: -0.020356 Loss_G: 0.004084 Loss_D_real: -0.012221 Loss_D_fake 0.008134
[1433/5000][265/535][147891] Loss_D: -0.019695 Loss_G: -0.001448 Loss_D_real: -0.005319 Loss_D_fake 0.014376
[1433/5000][270/535][147892] Loss_D: -0.019825 Loss_G: 0.014569 Loss_D_real: -0.030220 Loss_D_fake -0.010396
[1433/5000][275/535][147893] Loss_D: -0.020853 Loss_G: 0.015537 Loss_D_real: -0.008542 Loss_D_fake 0.012311
[1433/5000][280/535][147894] Loss_D: -0.019892 Loss_G: -0.002806 Loss_D_real: -0.017713 Loss_D_fake 0.002179
[1433/5000][285/535][147895] Loss_D: -0.020600 Loss_G: 0.022074 Loss_D_real: -0.023603 Loss_D_fake -0.003003
[1433/5000][290/535][147896] Loss_D: -0.020264 Loss_G: 0.019040 Loss_D_real: -0.015343 Loss_D_fake 0.004921
[1433/5000][295/535][147897] Loss_D: -0.019877 Loss_G: 0.010849 Loss_D_real: -0.019284 Loss_D_fake 0.000593
[1433/5000][300/535][147898] Loss_D: -0.019971 Loss_G: 0.022104 Loss_D_real: -0.032524 Loss_D_fake -0.012553
[1433/5000][305/535][147899] Loss_D: -0.020103 Loss_G: -0.006776 Loss_D_real: -0.006962 Loss_D_fake 0.013141
[1433/5000][310/535][147900] Loss_D: -0.020189 Loss_G: 0.012003 Loss_D_real: -0.015638 Loss_D_fake 0.004552
[1433/5000][315/535][147901] Loss_D: -0.019559 Loss_G: 0.003572 Loss_D_real: -0.017250 Loss_D_fake 0.002309
[1433/5000][320/535][147902] Loss_D: -0.018963 Loss_G: -0.001383 Loss_D_real: -0.009388 Loss_D_fake 0.009575
[1433/5000][325/535][147903] Loss_D: -0.019780 Loss_G: 0.008996 Loss_D_real: -0.020441 Loss_D_fake -0.000661
[1433/5000][330/535][147904] Loss_D: -0.019401 Loss_G: -0.002597 Loss_D_real: -0.020045 Loss_D_fake -0.000644
[1433/5000][335/535][147905] Loss_D: -0.019378 Loss_G: -0.024244 Loss_D_real: -0.013017 Loss_D_fake 0.006361
[1433/5000][340/535][147906] Loss_D: -0.017722 Loss_G: 0.001322 Loss_D_real: -0.015450 Loss_D_fake 0.002271
[1433/5000][345/535][147907] Loss_D: -0.018618 Loss_G: 0.005432 Loss_D_real: -0.016134 Loss_D_fake 0.002484
[1433/5000][350/535][147908] Loss_D: -0.021930 Loss_G: 0.016290 Loss_D_real: -0.027711 Loss_D_fake -0.005781
[1433/5000][355/535][147909] Loss_D: -0.020233 Loss_G: -0.015383 Loss_D_real: -0.006028 Loss_D_fake 0.014205
[1433/5000][360/535][147910] Loss_D: -0.020432 Loss_G: 0.026298 Loss_D_real: -0.018720 Loss_D_fake 0.001712
[1433/5000][365/535][147911] Loss_D: -0.021190 Loss_G: 0.012821 Loss_D_real: -0.014879 Loss_D_fake 0.006311
[1433/5000][370/535][147912] Loss_D: -0.020414 Loss_G: 0.013167 Loss_D_real: -0.019072 Loss_D_fake 0.001342
[1433/5000][375/535][147913] Loss_D: -0.019427 Loss_G: -0.012321 Loss_D_real: 0.002529 Loss_D_fake 0.021956
[1433/5000][380/535][147914] Loss_D: -0.018868 Loss_G: 0.016958 Loss_D_real: -0.028296 Loss_D_fake -0.009427
[1433/5000][385/535][147915] Loss_D: -0.020423 Loss_G: -0.000445 Loss_D_real: -0.011555 Loss_D_fake 0.008868
[1433/5000][390/535][147916] Loss_D: -0.020432 Loss_G: 0.002902 Loss_D_real: -0.008092 Loss_D_fake 0.012340
[1433/5000][395/535][147917] Loss_D: -0.020356 Loss_G: 0.005404 Loss_D_real: -0.012073 Loss_D_fake 0.008284
[1433/5000][400/535][147918] Loss_D: -0.019985 Loss_G: -0.006717 Loss_D_real: 0.007490 Loss_D_fake 0.027474
[1433/5000][405/535][147919] Loss_D: -0.018842 Loss_G: 0.016833 Loss_D_real: -0.017307 Loss_D_fake 0.001535
[1433/5000][410/535][147920] Loss_D: -0.021091 Loss_G: -0.002678 Loss_D_real: -0.016446 Loss_D_fake 0.004645
[1433/5000][415/535][147921] Loss_D: -0.019096 Loss_G: 0.001805 Loss_D_real: -0.020163 Loss_D_fake -0.001067
[1433/5000][420/535][147922] Loss_D: -0.020362 Loss_G: 0.009430 Loss_D_real: -0.020160 Loss_D_fake 0.000202
[1433/5000][425/535][147923] Loss_D: -0.019947 Loss_G: 0.008613 Loss_D_real: -0.021917 Loss_D_fake -0.001970
[1433/5000][430/535][147924] Loss_D: -0.019843 Loss_G: -0.005360 Loss_D_real: 0.000275 Loss_D_fake 0.020118
[1433/5000][435/535][147925] Loss_D: -0.020049 Loss_G: 0.010842 Loss_D_real: -0.015539 Loss_D_fake 0.004510
[1433/5000][440/535][147926] Loss_D: -0.019554 Loss_G: 0.006647 Loss_D_real: -0.015415 Loss_D_fake 0.004139
[1433/5000][445/535][147927] Loss_D: -0.020256 Loss_G: 0.024354 Loss_D_real: -0.027718 Loss_D_fake -0.007463
[1433/5000][450/535][147928] Loss_D: -0.019296 Loss_G: -0.007274 Loss_D_real: -0.014262 Loss_D_fake 0.005034
[1433/5000][455/535][147929] Loss_D: -0.019099 Loss_G: 0.009298 Loss_D_real: -0.028117 Loss_D_fake -0.009018
[1433/5000][460/535][147930] Loss_D: -0.019691 Loss_G: 0.007464 Loss_D_real: -0.015248 Loss_D_fake 0.004443
[1433/5000][465/535][147931] Loss_D: -0.018640 Loss_G: 0.016254 Loss_D_real: -0.007900 Loss_D_fake 0.010741
[1433/5000][470/535][147932] Loss_D: -0.018996 Loss_G: -0.004948 Loss_D_real: -0.005978 Loss_D_fake 0.013019
[1433/5000][475/535][147933] Loss_D: -0.020298 Loss_G: -0.001282 Loss_D_real: -0.000318 Loss_D_fake 0.019980
[1433/5000][480/535][147934] Loss_D: -0.020015 Loss_G: -0.001832 Loss_D_real: 0.003048 Loss_D_fake 0.023063
[1433/5000][485/535][147935] Loss_D: -0.019788 Loss_G: 0.003320 Loss_D_real: -0.017363 Loss_D_fake 0.002425
[1433/5000][490/535][147936] Loss_D: -0.019933 Loss_G: -0.002322 Loss_D_real: -0.007820 Loss_D_fake 0.012113
[1433/5000][495/535][147937] Loss_D: -0.020368 Loss_G: 0.005200 Loss_D_real: -0.005768 Loss_D_fake 0.014599
[1433/5000][500/535][147938] Loss_D: -0.019424 Loss_G: 0.024429 Loss_D_real: -0.031823 Loss_D_fake -0.012399
[1433/5000][505/535][147939] Loss_D: -0.019933 Loss_G: -0.006017 Loss_D_real: -0.014643 Loss_D_fake 0.005289
[1433/5000][510/535][147940] Loss_D: -0.020212 Loss_G: -0.009586 Loss_D_real: -0.014712 Loss_D_fake 0.005500
[1433/5000][515/535][147941] Loss_D: -0.019132 Loss_G: -0.000936 Loss_D_real: -0.012095 Loss_D_fake 0.007037
[1433/5000][520/535][147942] Loss_D: -0.019928 Loss_G: 0.022168 Loss_D_real: -0.026382 Loss_D_fake -0.006454
[1433/5000][525/535][147943] Loss_D: -0.020369 Loss_G: -0.010236 Loss_D_real: -0.012831 Loss_D_fake 0.007538
[1433/5000][530/535][147944] Loss_D: -0.019914 Loss_G: 0.011916 Loss_D_real: -0.030308 Loss_D_fake -0.010394
[1433/5000][535/535][147945] Loss_D: -0.020404 Loss_G: 0.025215 Loss_D_real: -0.026785 Loss_D_fake -0.006380
[1434/5000][5/535][147946] Loss_D: -0.021510 Loss_G: 0.014542 Loss_D_real: -0.017580 Loss_D_fake 0.003930
[1434/5000][10/535][147947] Loss_D: -0.019046 Loss_G: -0.021221 Loss_D_real: -0.004060 Loss_D_fake 0.014986
[1434/5000][15/535][147948] Loss_D: -0.020105 Loss_G: 0.019391 Loss_D_real: -0.014220 Loss_D_fake 0.005885
[1434/5000][20/535][147949] Loss_D: -0.020773 Loss_G: 0.015681 Loss_D_real: -0.026608 Loss_D_fake -0.005835
[1434/5000][25/535][147950] Loss_D: -0.020127 Loss_G: -0.009745 Loss_D_real: -0.013885 Loss_D_fake 0.006242
[1434/5000][30/535][147951] Loss_D: -0.020600 Loss_G: 0.003121 Loss_D_real: -0.008652 Loss_D_fake 0.011948
[1434/5000][35/535][147952] Loss_D: -0.020585 Loss_G: 0.001660 Loss_D_real: -0.020998 Loss_D_fake -0.000413
[1434/5000][40/535][147953] Loss_D: -0.017437 Loss_G: 0.024914 Loss_D_real: -0.026943 Loss_D_fake -0.009507
[1434/5000][45/535][147954] Loss_D: -0.019679 Loss_G: 0.011784 Loss_D_real: -0.034569 Loss_D_fake -0.014890
[1434/5000][50/535][147955] Loss_D: -0.017852 Loss_G: 0.026675 Loss_D_real: -0.035743 Loss_D_fake -0.017892
[1434/5000][55/535][147956] Loss_D: -0.020698 Loss_G: -0.001511 Loss_D_real: -0.017693 Loss_D_fake 0.003005
[1434/5000][60/535][147957] Loss_D: -0.018676 Loss_G: -0.029637 Loss_D_real: -0.002719 Loss_D_fake 0.015957
[1434/5000][65/535][147958] Loss_D: -0.018829 Loss_G: -0.006354 Loss_D_real: -0.011248 Loss_D_fake 0.007581
[1434/5000][70/535][147959] Loss_D: -0.019606 Loss_G: 0.011058 Loss_D_real: -0.028912 Loss_D_fake -0.009305
[1434/5000][75/535][147960] Loss_D: -0.020997 Loss_G: 0.009841 Loss_D_real: -0.013478 Loss_D_fake 0.007520
[1434/5000][80/535][147961] Loss_D: -0.019532 Loss_G: 0.015504 Loss_D_real: -0.019835 Loss_D_fake -0.000302
[1434/5000][85/535][147962] Loss_D: -0.019915 Loss_G: 0.021505 Loss_D_real: -0.018743 Loss_D_fake 0.001172
[1434/5000][90/535][147963] Loss_D: -0.019218 Loss_G: 0.023362 Loss_D_real: -0.028363 Loss_D_fake -0.009145
[1434/5000][95/535][147964] Loss_D: -0.019808 Loss_G: -0.000915 Loss_D_real: -0.005369 Loss_D_fake 0.014438
[1434/5000][100/535][147965] Loss_D: -0.019766 Loss_G: 0.008945 Loss_D_real: -0.018229 Loss_D_fake 0.001537
[1434/5000][105/535][147966] Loss_D: -0.020385 Loss_G: -0.015760 Loss_D_real: -0.000940 Loss_D_fake 0.019445
[1434/5000][110/535][147967] Loss_D: -0.020160 Loss_G: 0.000176 Loss_D_real: -0.022495 Loss_D_fake -0.002335
[1434/5000][115/535][147968] Loss_D: -0.020918 Loss_G: 0.014948 Loss_D_real: -0.018381 Loss_D_fake 0.002537
[1434/5000][120/535][147969] Loss_D: -0.020130 Loss_G: -0.002386 Loss_D_real: -0.001727 Loss_D_fake 0.018403
[1434/5000][125/535][147970] Loss_D: -0.020098 Loss_G: -0.002811 Loss_D_real: 0.001729 Loss_D_fake 0.021827
[1434/5000][130/535][147971] Loss_D: -0.020809 Loss_G: 0.000164 Loss_D_real: -0.016215 Loss_D_fake 0.004594
[1434/5000][135/535][147972] Loss_D: -0.019756 Loss_G: -0.014424 Loss_D_real: -0.003998 Loss_D_fake 0.015758
[1434/5000][140/535][147973] Loss_D: -0.020140 Loss_G: 0.000133 Loss_D_real: -0.004968 Loss_D_fake 0.015173
[1434/5000][145/535][147974] Loss_D: -0.018634 Loss_G: 0.029161 Loss_D_real: -0.021629 Loss_D_fake -0.002995
[1434/5000][150/535][147975] Loss_D: -0.018257 Loss_G: -0.015137 Loss_D_real: -0.002177 Loss_D_fake 0.016080
[1434/5000][155/535][147976] Loss_D: -0.018065 Loss_G: 0.015858 Loss_D_real: -0.016687 Loss_D_fake 0.001378
[1434/5000][160/535][147977] Loss_D: -0.019012 Loss_G: 0.009704 Loss_D_real: -0.020540 Loss_D_fake -0.001528
[1434/5000][165/535][147978] Loss_D: -0.019279 Loss_G: -0.018386 Loss_D_real: -0.007464 Loss_D_fake 0.011816
[1434/5000][170/535][147979] Loss_D: -0.020338 Loss_G: 0.002138 Loss_D_real: -0.004991 Loss_D_fake 0.015347
[1434/5000][175/535][147980] Loss_D: -0.019568 Loss_G: -0.004720 Loss_D_real: -0.001040 Loss_D_fake 0.018528
[1434/5000][180/535][147981] Loss_D: -0.020931 Loss_G: -0.004927 Loss_D_real: -0.008321 Loss_D_fake 0.012610
[1434/5000][185/535][147982] Loss_D: -0.019761 Loss_G: 0.026832 Loss_D_real: -0.015263 Loss_D_fake 0.004498
[1434/5000][190/535][147983] Loss_D: -0.018025 Loss_G: -0.000341 Loss_D_real: -0.012213 Loss_D_fake 0.005812
[1434/5000][195/535][147984] Loss_D: -0.019289 Loss_G: -0.002870 Loss_D_real: -0.024429 Loss_D_fake -0.005140
[1434/5000][200/535][147985] Loss_D: -0.019917 Loss_G: 0.011223 Loss_D_real: -0.024533 Loss_D_fake -0.004616
[1434/5000][205/535][147986] Loss_D: -0.019569 Loss_G: 0.009839 Loss_D_real: -0.015842 Loss_D_fake 0.003728
[1434/5000][210/535][147987] Loss_D: -0.020121 Loss_G: 0.005191 Loss_D_real: -0.010673 Loss_D_fake 0.009448
[1434/5000][215/535][147988] Loss_D: -0.019925 Loss_G: -0.002511 Loss_D_real: -0.027434 Loss_D_fake -0.007509
[1434/5000][220/535][147989] Loss_D: -0.020072 Loss_G: -0.001123 Loss_D_real: -0.003800 Loss_D_fake 0.016272
[1434/5000][225/535][147990] Loss_D: -0.018008 Loss_G: -0.009142 Loss_D_real: 0.005492 Loss_D_fake 0.023500
[1434/5000][230/535][147991] Loss_D: -0.019797 Loss_G: 0.026630 Loss_D_real: -0.010269 Loss_D_fake 0.009528
[1434/5000][235/535][147992] Loss_D: -0.019648 Loss_G: -0.008692 Loss_D_real: -0.007977 Loss_D_fake 0.011671
[1434/5000][240/535][147993] Loss_D: -0.019608 Loss_G: -0.000768 Loss_D_real: -0.023422 Loss_D_fake -0.003815
[1434/5000][245/535][147994] Loss_D: -0.019266 Loss_G: 0.027992 Loss_D_real: -0.036628 Loss_D_fake -0.017362
[1434/5000][250/535][147995] Loss_D: -0.020863 Loss_G: -0.004549 Loss_D_real: -0.015463 Loss_D_fake 0.005400
[1434/5000][255/535][147996] Loss_D: -0.019915 Loss_G: 0.004291 Loss_D_real: -0.018396 Loss_D_fake 0.001519
[1434/5000][260/535][147997] Loss_D: -0.020173 Loss_G: -0.003871 Loss_D_real: -0.017327 Loss_D_fake 0.002846
[1434/5000][265/535][147998] Loss_D: -0.018551 Loss_G: 0.007653 Loss_D_real: -0.020558 Loss_D_fake -0.002007
[1434/5000][270/535][147999] Loss_D: -0.020803 Loss_G: 0.020209 Loss_D_real: -0.013152 Loss_D_fake 0.007651
[1434/5000][275/535][148000] Loss_D: -0.020750 Loss_G: 0.000054 Loss_D_real: -0.012209 Loss_D_fake 0.008541
[1434/5000][375/535][148001] Loss_D: -0.023922 Loss_G: -0.005003 Loss_D_real: 0.004942 Loss_D_fake 0.028864
[1434/5000][380/535][148002] Loss_D: -0.019318 Loss_G: 0.004549 Loss_D_real: -0.019746 Loss_D_fake -0.000428
[1434/5000][385/535][148003] Loss_D: -0.018457 Loss_G: -0.001453 Loss_D_real: -0.005617 Loss_D_fake 0.012840
[1434/5000][390/535][148004] Loss_D: -0.017796 Loss_G: 0.009029 Loss_D_real: -0.017424 Loss_D_fake 0.000372
[1434/5000][395/535][148005] Loss_D: -0.018374 Loss_G: 0.007854 Loss_D_real: -0.020763 Loss_D_fake -0.002389
[1434/5000][400/535][148006] Loss_D: -0.018895 Loss_G: 0.004753 Loss_D_real: -0.016389 Loss_D_fake 0.002506
[1434/5000][405/535][148007] Loss_D: -0.019725 Loss_G: 0.004282 Loss_D_real: -0.016785 Loss_D_fake 0.002940
[1434/5000][410/535][148008] Loss_D: -0.018017 Loss_G: -0.002759 Loss_D_real: -0.003682 Loss_D_fake 0.014335
[1434/5000][415/535][148009] Loss_D: -0.019615 Loss_G: 0.013140 Loss_D_real: -0.019299 Loss_D_fake 0.000316
[1434/5000][420/535][148010] Loss_D: -0.020878 Loss_G: -0.001975 Loss_D_real: -0.020545 Loss_D_fake 0.000333
[1434/5000][425/535][148011] Loss_D: -0.021604 Loss_G: 0.016100 Loss_D_real: -0.012620 Loss_D_fake 0.008984
[1434/5000][430/535][148012] Loss_D: -0.019353 Loss_G: 0.000832 Loss_D_real: -0.008797 Loss_D_fake 0.010556
[1434/5000][435/535][148013] Loss_D: -0.020161 Loss_G: 0.001966 Loss_D_real: -0.019291 Loss_D_fake 0.000870
[1434/5000][440/535][148014] Loss_D: -0.020390 Loss_G: 0.008603 Loss_D_real: -0.025580 Loss_D_fake -0.005189
[1434/5000][445/535][148015] Loss_D: -0.021335 Loss_G: 0.009499 Loss_D_real: -0.021504 Loss_D_fake -0.000170
[1434/5000][450/535][148016] Loss_D: -0.019582 Loss_G: -0.008901 Loss_D_real: -0.004875 Loss_D_fake 0.014707
[1434/5000][455/535][148017] Loss_D: -0.019490 Loss_G: -0.000954 Loss_D_real: -0.014139 Loss_D_fake 0.005351
[1434/5000][460/535][148018] Loss_D: -0.019314 Loss_G: 0.029357 Loss_D_real: -0.028283 Loss_D_fake -0.008969
[1434/5000][465/535][148019] Loss_D: -0.019677 Loss_G: -0.002047 Loss_D_real: -0.017035 Loss_D_fake 0.002642
[1434/5000][470/535][148020] Loss_D: -0.020494 Loss_G: 0.001121 Loss_D_real: -0.011918 Loss_D_fake 0.008576
[1434/5000][475/535][148021] Loss_D: -0.018687 Loss_G: 0.028476 Loss_D_real: -0.017419 Loss_D_fake 0.001268
[1434/5000][480/535][148022] Loss_D: -0.017748 Loss_G: -0.027603 Loss_D_real: 0.003956 Loss_D_fake 0.021704
[1434/5000][485/535][148023] Loss_D: -0.020108 Loss_G: 0.001708 Loss_D_real: -0.008076 Loss_D_fake 0.012032
[1434/5000][490/535][148024] Loss_D: -0.019464 Loss_G: 0.002240 Loss_D_real: -0.003758 Loss_D_fake 0.015706
[1434/5000][495/535][148025] Loss_D: -0.020743 Loss_G: 0.021547 Loss_D_real: -0.020512 Loss_D_fake 0.000231
[1434/5000][500/535][148026] Loss_D: -0.020046 Loss_G: 0.013919 Loss_D_real: -0.026795 Loss_D_fake -0.006749
[1434/5000][505/535][148027] Loss_D: -0.019702 Loss_G: 0.010638 Loss_D_real: -0.020070 Loss_D_fake -0.000368
[1434/5000][510/535][148028] Loss_D: -0.020903 Loss_G: 0.018255 Loss_D_real: -0.009214 Loss_D_fake 0.011689
[1434/5000][515/535][148029] Loss_D: -0.020554 Loss_G: 0.005130 Loss_D_real: -0.015519 Loss_D_fake 0.005035
[1434/5000][520/535][148030] Loss_D: -0.021300 Loss_G: 0.006200 Loss_D_real: -0.017182 Loss_D_fake 0.004118
[1434/5000][525/535][148031] Loss_D: -0.021504 Loss_G: 0.021977 Loss_D_real: -0.029451 Loss_D_fake -0.007947
[1434/5000][530/535][148032] Loss_D: -0.019683 Loss_G: -0.002300 Loss_D_real: -0.013258 Loss_D_fake 0.006425
[1434/5000][535/535][148033] Loss_D: -0.019614 Loss_G: 0.005411 Loss_D_real: -0.034672 Loss_D_fake -0.015058
[1435/5000][5/535][148034] Loss_D: -0.019554 Loss_G: -0.009353 Loss_D_real: 0.002401 Loss_D_fake 0.021955
[1435/5000][10/535][148035] Loss_D: -0.019155 Loss_G: 0.018458 Loss_D_real: -0.025308 Loss_D_fake -0.006154
[1435/5000][15/535][148036] Loss_D: -0.020993 Loss_G: 0.008374 Loss_D_real: -0.024597 Loss_D_fake -0.003604
[1435/5000][20/535][148037] Loss_D: -0.021516 Loss_G: 0.008257 Loss_D_real: -0.018867 Loss_D_fake 0.002649
[1435/5000][25/535][148038] Loss_D: -0.020901 Loss_G: -0.005561 Loss_D_real: -0.006820 Loss_D_fake 0.014080
[1435/5000][30/535][148039] Loss_D: -0.020993 Loss_G: -0.012318 Loss_D_real: -0.017041 Loss_D_fake 0.003952
[1435/5000][35/535][148040] Loss_D: -0.020485 Loss_G: 0.007482 Loss_D_real: -0.007574 Loss_D_fake 0.012910
[1435/5000][40/535][148041] Loss_D: -0.020609 Loss_G: -0.000758 Loss_D_real: -0.010654 Loss_D_fake 0.009955
[1435/5000][45/535][148042] Loss_D: -0.018992 Loss_G: 0.020666 Loss_D_real: -0.022142 Loss_D_fake -0.003149
[1435/5000][50/535][148043] Loss_D: -0.019356 Loss_G: 0.028449 Loss_D_real: -0.023896 Loss_D_fake -0.004540
[1435/5000][55/535][148044] Loss_D: -0.020464 Loss_G: -0.002423 Loss_D_real: -0.014260 Loss_D_fake 0.006204
[1435/5000][60/535][148045] Loss_D: -0.020989 Loss_G: 0.010881 Loss_D_real: -0.025225 Loss_D_fake -0.004236
[1435/5000][65/535][148046] Loss_D: -0.019257 Loss_G: 0.016136 Loss_D_real: -0.024724 Loss_D_fake -0.005467
[1435/5000][70/535][148047] Loss_D: -0.020694 Loss_G: -0.009724 Loss_D_real: -0.005784 Loss_D_fake 0.014910
[1435/5000][75/535][148048] Loss_D: -0.019484 Loss_G: 0.008101 Loss_D_real: -0.016179 Loss_D_fake 0.003305
[1435/5000][80/535][148049] Loss_D: -0.020586 Loss_G: 0.018246 Loss_D_real: -0.025299 Loss_D_fake -0.004712
[1435/5000][85/535][148050] Loss_D: -0.019342 Loss_G: 0.022570 Loss_D_real: -0.027235 Loss_D_fake -0.007893
[1435/5000][90/535][148051] Loss_D: -0.018461 Loss_G: -0.001009 Loss_D_real: -0.015994 Loss_D_fake 0.002467
[1435/5000][95/535][148052] Loss_D: -0.018475 Loss_G: -0.009852 Loss_D_real: -0.014580 Loss_D_fake 0.003895
[1435/5000][100/535][148053] Loss_D: -0.019237 Loss_G: -0.007050 Loss_D_real: -0.008150 Loss_D_fake 0.011087
[1435/5000][105/535][148054] Loss_D: -0.019053 Loss_G: 0.014388 Loss_D_real: -0.027894 Loss_D_fake -0.008841
[1435/5000][110/535][148055] Loss_D: -0.020484 Loss_G: 0.001447 Loss_D_real: -0.024980 Loss_D_fake -0.004497
[1435/5000][115/535][148056] Loss_D: -0.020348 Loss_G: 0.002571 Loss_D_real: -0.014502 Loss_D_fake 0.005846
[1435/5000][120/535][148057] Loss_D: -0.019291 Loss_G: 0.020036 Loss_D_real: -0.033253 Loss_D_fake -0.013962
[1435/5000][125/535][148058] Loss_D: -0.019468 Loss_G: -0.007729 Loss_D_real: -0.011053 Loss_D_fake 0.008415
[1435/5000][130/535][148059] Loss_D: -0.019969 Loss_G: 0.015365 Loss_D_real: -0.004226 Loss_D_fake 0.015744
[1435/5000][135/535][148060] Loss_D: -0.018610 Loss_G: 0.016412 Loss_D_real: -0.013929 Loss_D_fake 0.004681
[1435/5000][140/535][148061] Loss_D: -0.020061 Loss_G: 0.015333 Loss_D_real: -0.034771 Loss_D_fake -0.014710
[1435/5000][145/535][148062] Loss_D: -0.019440 Loss_G: 0.023961 Loss_D_real: -0.029030 Loss_D_fake -0.009590
[1435/5000][150/535][148063] Loss_D: -0.021181 Loss_G: -0.005293 Loss_D_real: -0.009399 Loss_D_fake 0.011782
[1435/5000][155/535][148064] Loss_D: -0.018732 Loss_G: 0.008677 Loss_D_real: -0.017708 Loss_D_fake 0.001024
[1435/5000][160/535][148065] Loss_D: -0.019328 Loss_G: 0.014882 Loss_D_real: -0.026139 Loss_D_fake -0.006811
[1435/5000][165/535][148066] Loss_D: -0.018979 Loss_G: 0.012550 Loss_D_real: -0.019843 Loss_D_fake -0.000864
[1435/5000][170/535][148067] Loss_D: -0.021473 Loss_G: 0.021477 Loss_D_real: -0.012043 Loss_D_fake 0.009430
[1435/5000][175/535][148068] Loss_D: -0.018931 Loss_G: 0.020985 Loss_D_real: -0.022427 Loss_D_fake -0.003496
[1435/5000][180/535][148069] Loss_D: -0.019758 Loss_G: 0.020255 Loss_D_real: -0.034202 Loss_D_fake -0.014444
[1435/5000][185/535][148070] Loss_D: -0.019858 Loss_G: -0.005512 Loss_D_real: -0.013091 Loss_D_fake 0.006767
[1435/5000][190/535][148071] Loss_D: -0.018474 Loss_G: 0.009338 Loss_D_real: -0.022816 Loss_D_fake -0.004341
[1435/5000][195/535][148072] Loss_D: -0.019760 Loss_G: 0.007288 Loss_D_real: -0.013167 Loss_D_fake 0.006592
[1435/5000][200/535][148073] Loss_D: -0.019117 Loss_G: 0.023378 Loss_D_real: -0.033423 Loss_D_fake -0.014306
[1435/5000][205/535][148074] Loss_D: -0.020259 Loss_G: -0.000223 Loss_D_real: -0.019003 Loss_D_fake 0.001257
[1435/5000][210/535][148075] Loss_D: -0.020093 Loss_G: 0.013218 Loss_D_real: -0.011797 Loss_D_fake 0.008295
[1435/5000][215/535][148076] Loss_D: -0.019150 Loss_G: 0.029408 Loss_D_real: -0.027778 Loss_D_fake -0.008627
[1435/5000][220/535][148077] Loss_D: -0.019567 Loss_G: -0.006525 Loss_D_real: -0.015663 Loss_D_fake 0.003904
[1435/5000][225/535][148078] Loss_D: -0.021885 Loss_G: 0.004214 Loss_D_real: -0.006652 Loss_D_fake 0.015233
[1435/5000][230/535][148079] Loss_D: -0.021322 Loss_G: 0.011802 Loss_D_real: -0.026101 Loss_D_fake -0.004779
[1435/5000][235/535][148080] Loss_D: -0.019114 Loss_G: 0.016678 Loss_D_real: -0.025298 Loss_D_fake -0.006184
[1435/5000][240/535][148081] Loss_D: -0.022102 Loss_G: -0.010059 Loss_D_real: -0.010959 Loss_D_fake 0.011143
[1435/5000][245/535][148082] Loss_D: -0.021252 Loss_G: 0.019877 Loss_D_real: -0.025462 Loss_D_fake -0.004210
[1435/5000][250/535][148083] Loss_D: -0.020696 Loss_G: -0.020738 Loss_D_real: -0.005408 Loss_D_fake 0.015287
[1435/5000][255/535][148084] Loss_D: -0.019249 Loss_G: 0.014476 Loss_D_real: -0.006626 Loss_D_fake 0.012623
[1435/5000][260/535][148085] Loss_D: -0.018298 Loss_G: 0.008962 Loss_D_real: -0.014139 Loss_D_fake 0.004158
[1435/5000][265/535][148086] Loss_D: -0.017296 Loss_G: -0.008561 Loss_D_real: -0.005898 Loss_D_fake 0.011398
[1435/5000][270/535][148087] Loss_D: -0.019380 Loss_G: -0.005695 Loss_D_real: -0.015645 Loss_D_fake 0.003734
[1435/5000][275/535][148088] Loss_D: -0.019647 Loss_G: 0.001540 Loss_D_real: -0.015140 Loss_D_fake 0.004506
[1435/5000][280/535][148089] Loss_D: -0.020191 Loss_G: 0.009456 Loss_D_real: -0.013108 Loss_D_fake 0.007084
[1435/5000][285/535][148090] Loss_D: -0.018517 Loss_G: 0.016267 Loss_D_real: -0.015686 Loss_D_fake 0.002831
[1435/5000][290/535][148091] Loss_D: -0.019949 Loss_G: 0.001387 Loss_D_real: -0.006939 Loss_D_fake 0.013010
[1435/5000][295/535][148092] Loss_D: -0.020647 Loss_G: 0.003065 Loss_D_real: -0.024254 Loss_D_fake -0.003608
[1435/5000][300/535][148093] Loss_D: -0.020575 Loss_G: 0.013221 Loss_D_real: -0.016885 Loss_D_fake 0.003691
[1435/5000][305/535][148094] Loss_D: -0.021296 Loss_G: -0.006262 Loss_D_real: -0.018911 Loss_D_fake 0.002385
[1435/5000][310/535][148095] Loss_D: -0.020159 Loss_G: 0.005639 Loss_D_real: -0.015528 Loss_D_fake 0.004631
[1435/5000][315/535][148096] Loss_D: -0.021206 Loss_G: 0.001598 Loss_D_real: -0.007745 Loss_D_fake 0.013461
[1435/5000][320/535][148097] Loss_D: -0.020156 Loss_G: 0.018436 Loss_D_real: -0.018594 Loss_D_fake 0.001562
[1435/5000][325/535][148098] Loss_D: -0.019087 Loss_G: -0.006137 Loss_D_real: -0.002737 Loss_D_fake 0.016350
[1435/5000][330/535][148099] Loss_D: -0.019680 Loss_G: 0.027579 Loss_D_real: -0.029275 Loss_D_fake -0.009596
[1435/5000][335/535][148100] Loss_D: -0.018707 Loss_G: -0.008945 Loss_D_real: -0.002947 Loss_D_fake 0.015760
[1435/5000][340/535][148101] Loss_D: -0.021305 Loss_G: 0.010026 Loss_D_real: -0.016002 Loss_D_fake 0.005303
[1435/5000][345/535][148102] Loss_D: -0.020271 Loss_G: 0.002300 Loss_D_real: -0.010866 Loss_D_fake 0.009405
[1435/5000][350/535][148103] Loss_D: -0.020259 Loss_G: 0.006761 Loss_D_real: -0.011767 Loss_D_fake 0.008492
[1435/5000][355/535][148104] Loss_D: -0.020261 Loss_G: 0.004740 Loss_D_real: -0.021394 Loss_D_fake -0.001133
[1435/5000][360/535][148105] Loss_D: -0.021746 Loss_G: -0.001600 Loss_D_real: -0.012133 Loss_D_fake 0.009613
[1435/5000][365/535][148106] Loss_D: -0.020506 Loss_G: 0.010950 Loss_D_real: -0.009202 Loss_D_fake 0.011304
[1435/5000][370/535][148107] Loss_D: -0.018927 Loss_G: 0.015157 Loss_D_real: -0.027989 Loss_D_fake -0.009062
[1435/5000][375/535][148108] Loss_D: -0.019267 Loss_G: 0.026106 Loss_D_real: -0.019079 Loss_D_fake 0.000188
[1435/5000][380/535][148109] Loss_D: -0.021278 Loss_G: -0.002499 Loss_D_real: -0.023298 Loss_D_fake -0.002020
[1435/5000][385/535][148110] Loss_D: -0.018741 Loss_G: 0.020989 Loss_D_real: -0.028434 Loss_D_fake -0.009693
[1435/5000][390/535][148111] Loss_D: -0.019036 Loss_G: -0.015995 Loss_D_real: -0.007826 Loss_D_fake 0.011210
[1435/5000][395/535][148112] Loss_D: -0.019622 Loss_G: 0.014501 Loss_D_real: -0.007645 Loss_D_fake 0.011978
[1435/5000][400/535][148113] Loss_D: -0.018664 Loss_G: -0.000101 Loss_D_real: -0.006800 Loss_D_fake 0.011864
[1435/5000][405/535][148114] Loss_D: -0.020118 Loss_G: 0.006722 Loss_D_real: -0.021111 Loss_D_fake -0.000993
[1435/5000][410/535][148115] Loss_D: -0.020225 Loss_G: 0.005789 Loss_D_real: -0.019941 Loss_D_fake 0.000285
[1435/5000][415/535][148116] Loss_D: -0.020633 Loss_G: 0.008083 Loss_D_real: -0.023031 Loss_D_fake -0.002398
[1435/5000][420/535][148117] Loss_D: -0.019175 Loss_G: 0.025936 Loss_D_real: -0.028914 Loss_D_fake -0.009738
[1435/5000][425/535][148118] Loss_D: -0.020414 Loss_G: 0.003969 Loss_D_real: -0.011927 Loss_D_fake 0.008487
[1435/5000][430/535][148119] Loss_D: -0.019714 Loss_G: 0.016365 Loss_D_real: -0.021147 Loss_D_fake -0.001433
[1435/5000][435/535][148120] Loss_D: -0.019497 Loss_G: 0.013584 Loss_D_real: -0.020925 Loss_D_fake -0.001429
[1435/5000][440/535][148121] Loss_D: -0.019955 Loss_G: 0.010647 Loss_D_real: -0.020589 Loss_D_fake -0.000634
[1435/5000][445/535][148122] Loss_D: -0.021937 Loss_G: 0.000760 Loss_D_real: -0.026914 Loss_D_fake -0.004976
[1435/5000][450/535][148123] Loss_D: -0.020727 Loss_G: -0.003249 Loss_D_real: -0.002578 Loss_D_fake 0.018149
[1435/5000][455/535][148124] Loss_D: -0.020706 Loss_G: 0.029213 Loss_D_real: -0.021462 Loss_D_fake -0.000756
[1435/5000][460/535][148125] Loss_D: -0.018138 Loss_G: 0.021184 Loss_D_real: -0.021236 Loss_D_fake -0.003097
[1435/5000][465/535][148126] Loss_D: -0.021157 Loss_G: 0.012030 Loss_D_real: -0.023430 Loss_D_fake -0.002273
[1435/5000][470/535][148127] Loss_D: -0.017422 Loss_G: -0.016240 Loss_D_real: 0.010930 Loss_D_fake 0.028352
[1435/5000][475/535][148128] Loss_D: -0.017573 Loss_G: 0.014646 Loss_D_real: -0.014202 Loss_D_fake 0.003371
[1435/5000][480/535][148129] Loss_D: -0.019881 Loss_G: -0.006769 Loss_D_real: -0.008408 Loss_D_fake 0.011473
[1435/5000][485/535][148130] Loss_D: -0.018540 Loss_G: -0.008855 Loss_D_real: -0.007184 Loss_D_fake 0.011356
[1435/5000][490/535][148131] Loss_D: -0.019381 Loss_G: -0.017516 Loss_D_real: -0.007843 Loss_D_fake 0.011538
[1435/5000][495/535][148132] Loss_D: -0.019557 Loss_G: 0.004524 Loss_D_real: -0.017962 Loss_D_fake 0.001596
[1435/5000][500/535][148133] Loss_D: -0.018993 Loss_G: -0.013595 Loss_D_real: 0.006702 Loss_D_fake 0.025695
[1435/5000][505/535][148134] Loss_D: -0.021060 Loss_G: 0.017542 Loss_D_real: -0.007353 Loss_D_fake 0.013707
[1435/5000][510/535][148135] Loss_D: -0.019348 Loss_G: 0.001247 Loss_D_real: -0.022844 Loss_D_fake -0.003496
[1435/5000][515/535][148136] Loss_D: -0.018820 Loss_G: 0.024082 Loss_D_real: -0.024337 Loss_D_fake -0.005517
[1435/5000][520/535][148137] Loss_D: -0.019848 Loss_G: 0.007777 Loss_D_real: -0.013017 Loss_D_fake 0.006831
[1435/5000][525/535][148138] Loss_D: -0.020047 Loss_G: 0.020091 Loss_D_real: -0.019510 Loss_D_fake 0.000537
[1435/5000][530/535][148139] Loss_D: -0.019370 Loss_G: 0.012325 Loss_D_real: -0.021668 Loss_D_fake -0.002298
[1435/5000][535/535][148140] Loss_D: -0.018261 Loss_G: 0.004213 Loss_D_real: -0.019506 Loss_D_fake -0.001246
[1436/5000][5/535][148141] Loss_D: -0.019520 Loss_G: 0.014369 Loss_D_real: -0.006669 Loss_D_fake 0.012851
[1436/5000][10/535][148142] Loss_D: -0.018735 Loss_G: -0.005170 Loss_D_real: -0.009978 Loss_D_fake 0.008757
[1436/5000][15/535][148143] Loss_D: -0.018882 Loss_G: -0.004340 Loss_D_real: -0.017753 Loss_D_fake 0.001129
[1436/5000][20/535][148144] Loss_D: -0.020567 Loss_G: 0.009022 Loss_D_real: -0.008214 Loss_D_fake 0.012353
[1436/5000][25/535][148145] Loss_D: -0.018337 Loss_G: 0.008762 Loss_D_real: -0.011689 Loss_D_fake 0.006648
[1436/5000][30/535][148146] Loss_D: -0.019891 Loss_G: 0.026499 Loss_D_real: -0.019093 Loss_D_fake 0.000798
[1436/5000][35/535][148147] Loss_D: -0.018600 Loss_G: 0.016486 Loss_D_real: -0.022147 Loss_D_fake -0.003547
[1436/5000][40/535][148148] Loss_D: -0.019451 Loss_G: 0.009486 Loss_D_real: -0.013736 Loss_D_fake 0.005715
[1436/5000][45/535][148149] Loss_D: -0.020316 Loss_G: 0.026396 Loss_D_real: -0.017158 Loss_D_fake 0.003158
[1436/5000][50/535][148150] Loss_D: -0.020865 Loss_G: 0.010598 Loss_D_real: -0.017693 Loss_D_fake 0.003172
[1436/5000][55/535][148151] Loss_D: -0.019635 Loss_G: -0.010433 Loss_D_real: -0.003990 Loss_D_fake 0.015645
[1436/5000][60/535][148152] Loss_D: -0.020586 Loss_G: 0.013388 Loss_D_real: -0.030930 Loss_D_fake -0.010344
[1436/5000][65/535][148153] Loss_D: -0.019344 Loss_G: 0.022577 Loss_D_real: -0.029272 Loss_D_fake -0.009928
[1436/5000][70/535][148154] Loss_D: -0.021965 Loss_G: 0.005968 Loss_D_real: -0.030817 Loss_D_fake -0.008852
[1436/5000][75/535][148155] Loss_D: -0.020453 Loss_G: -0.001615 Loss_D_real: -0.007877 Loss_D_fake 0.012576
[1436/5000][80/535][148156] Loss_D: -0.018487 Loss_G: 0.023772 Loss_D_real: -0.026138 Loss_D_fake -0.007651
[1436/5000][85/535][148157] Loss_D: -0.019082 Loss_G: 0.036123 Loss_D_real: -0.025080 Loss_D_fake -0.005999
[1436/5000][90/535][148158] Loss_D: -0.020644 Loss_G: 0.007727 Loss_D_real: -0.002992 Loss_D_fake 0.017652
[1436/5000][95/535][148159] Loss_D: -0.020631 Loss_G: 0.001836 Loss_D_real: -0.025832 Loss_D_fake -0.005201
[1436/5000][100/535][148160] Loss_D: -0.020129 Loss_G: 0.006874 Loss_D_real: -0.017392 Loss_D_fake 0.002737
[1436/5000][105/535][148161] Loss_D: -0.018705 Loss_G: 0.017003 Loss_D_real: -0.013514 Loss_D_fake 0.005191
[1436/5000][110/535][148162] Loss_D: -0.019374 Loss_G: 0.008700 Loss_D_real: -0.020384 Loss_D_fake -0.001011
[1436/5000][115/535][148163] Loss_D: -0.021731 Loss_G: -0.014831 Loss_D_real: -0.013865 Loss_D_fake 0.007866
[1436/5000][120/535][148164] Loss_D: -0.019613 Loss_G: 0.014337 Loss_D_real: -0.018949 Loss_D_fake 0.000664
[1436/5000][125/535][148165] Loss_D: -0.021232 Loss_G: -0.002349 Loss_D_real: -0.019861 Loss_D_fake 0.001371
[1436/5000][130/535][148166] Loss_D: -0.019079 Loss_G: 0.021864 Loss_D_real: -0.024649 Loss_D_fake -0.005571
[1436/5000][135/535][148167] Loss_D: -0.018425 Loss_G: 0.022606 Loss_D_real: -0.023303 Loss_D_fake -0.004878
[1436/5000][140/535][148168] Loss_D: -0.019672 Loss_G: 0.002060 Loss_D_real: -0.021831 Loss_D_fake -0.002159
[1436/5000][145/535][148169] Loss_D: -0.019258 Loss_G: 0.020635 Loss_D_real: -0.024987 Loss_D_fake -0.005730
[1436/5000][150/535][148170] Loss_D: -0.021196 Loss_G: 0.010780 Loss_D_real: -0.020588 Loss_D_fake 0.000608
[1436/5000][155/535][148171] Loss_D: -0.018308 Loss_G: 0.011575 Loss_D_real: -0.027481 Loss_D_fake -0.009174
[1436/5000][160/535][148172] Loss_D: -0.019873 Loss_G: 0.009531 Loss_D_real: -0.023267 Loss_D_fake -0.003394
[1436/5000][165/535][148173] Loss_D: -0.019707 Loss_G: 0.014141 Loss_D_real: -0.021770 Loss_D_fake -0.002063
[1436/5000][170/535][148174] Loss_D: -0.020628 Loss_G: -0.003568 Loss_D_real: 0.000538 Loss_D_fake 0.021167
[1436/5000][175/535][148175] Loss_D: -0.019249 Loss_G: -0.005021 Loss_D_real: -0.011115 Loss_D_fake 0.008134
[1436/5000][180/535][148176] Loss_D: -0.018860 Loss_G: 0.027361 Loss_D_real: -0.024032 Loss_D_fake -0.005172
[1436/5000][185/535][148177] Loss_D: -0.018707 Loss_G: 0.027589 Loss_D_real: -0.033093 Loss_D_fake -0.014386
[1436/5000][190/535][148178] Loss_D: -0.019606 Loss_G: 0.018775 Loss_D_real: -0.019402 Loss_D_fake 0.000204
[1436/5000][195/535][148179] Loss_D: -0.019905 Loss_G: -0.007128 Loss_D_real: -0.012673 Loss_D_fake 0.007232
[1436/5000][200/535][148180] Loss_D: -0.019825 Loss_G: -0.001787 Loss_D_real: -0.004792 Loss_D_fake 0.015033
[1436/5000][205/535][148181] Loss_D: -0.018544 Loss_G: 0.037570 Loss_D_real: -0.036907 Loss_D_fake -0.018363
[1436/5000][210/535][148182] Loss_D: -0.019352 Loss_G: 0.014577 Loss_D_real: -0.030768 Loss_D_fake -0.011416
[1436/5000][215/535][148183] Loss_D: -0.019228 Loss_G: -0.011894 Loss_D_real: -0.006491 Loss_D_fake 0.012737
[1436/5000][220/535][148184] Loss_D: -0.019800 Loss_G: -0.009035 Loss_D_real: 0.001366 Loss_D_fake 0.021166
[1436/5000][225/535][148185] Loss_D: -0.018783 Loss_G: 0.008455 Loss_D_real: -0.012902 Loss_D_fake 0.005881
[1436/5000][230/535][148186] Loss_D: -0.018621 Loss_G: 0.019008 Loss_D_real: -0.023262 Loss_D_fake -0.004641
[1436/5000][235/535][148187] Loss_D: -0.019305 Loss_G: -0.008477 Loss_D_real: -0.002458 Loss_D_fake 0.016847
[1436/5000][240/535][148188] Loss_D: -0.019822 Loss_G: -0.005310 Loss_D_real: -0.005399 Loss_D_fake 0.014423
[1436/5000][245/535][148189] Loss_D: -0.018916 Loss_G: 0.018144 Loss_D_real: -0.029512 Loss_D_fake -0.010597
[1436/5000][250/535][148190] Loss_D: -0.020645 Loss_G: 0.009411 Loss_D_real: -0.026623 Loss_D_fake -0.005977
[1436/5000][255/535][148191] Loss_D: -0.020816 Loss_G: 0.012577 Loss_D_real: -0.012474 Loss_D_fake 0.008342
[1436/5000][260/535][148192] Loss_D: -0.020127 Loss_G: -0.000828 Loss_D_real: 0.005387 Loss_D_fake 0.025514
[1436/5000][265/535][148193] Loss_D: -0.018957 Loss_G: -0.010001 Loss_D_real: -0.002902 Loss_D_fake 0.016056
[1436/5000][270/535][148194] Loss_D: -0.020581 Loss_G: -0.003096 Loss_D_real: -0.018475 Loss_D_fake 0.002106
[1436/5000][275/535][148195] Loss_D: -0.019784 Loss_G: 0.002504 Loss_D_real: -0.002196 Loss_D_fake 0.017588
[1436/5000][280/535][148196] Loss_D: -0.019804 Loss_G: 0.012970 Loss_D_real: -0.018834 Loss_D_fake 0.000971
[1436/5000][285/535][148197] Loss_D: -0.019947 Loss_G: 0.010335 Loss_D_real: -0.027479 Loss_D_fake -0.007532
[1436/5000][290/535][148198] Loss_D: -0.020606 Loss_G: 0.017187 Loss_D_real: -0.016186 Loss_D_fake 0.004421
[1436/5000][295/535][148199] Loss_D: -0.022136 Loss_G: 0.014911 Loss_D_real: -0.029114 Loss_D_fake -0.006978
[1436/5000][300/535][148200] Loss_D: -0.020677 Loss_G: 0.004355 Loss_D_real: -0.015044 Loss_D_fake 0.005633
[1436/5000][305/535][148201] Loss_D: -0.020281 Loss_G: 0.024665 Loss_D_real: -0.022405 Loss_D_fake -0.002124
[1436/5000][310/535][148202] Loss_D: -0.021528 Loss_G: 0.003037 Loss_D_real: -0.025216 Loss_D_fake -0.003687
[1436/5000][315/535][148203] Loss_D: -0.020830 Loss_G: -0.002968 Loss_D_real: -0.006373 Loss_D_fake 0.014457
[1436/5000][320/535][148204] Loss_D: -0.019012 Loss_G: -0.000139 Loss_D_real: 0.010651 Loss_D_fake 0.029663
[1436/5000][325/535][148205] Loss_D: -0.019798 Loss_G: 0.024363 Loss_D_real: -0.029910 Loss_D_fake -0.010113
[1436/5000][330/535][148206] Loss_D: -0.020144 Loss_G: -0.010901 Loss_D_real: -0.007448 Loss_D_fake 0.012697
[1436/5000][335/535][148207] Loss_D: -0.019470 Loss_G: -0.005926 Loss_D_real: 0.000547 Loss_D_fake 0.020018
[1436/5000][340/535][148208] Loss_D: -0.020449 Loss_G: 0.005455 Loss_D_real: -0.006567 Loss_D_fake 0.013882
[1436/5000][345/535][148209] Loss_D: -0.020299 Loss_G: 0.011618 Loss_D_real: -0.011567 Loss_D_fake 0.008733
[1436/5000][350/535][148210] Loss_D: -0.020246 Loss_G: 0.019216 Loss_D_real: -0.021722 Loss_D_fake -0.001476
[1436/5000][355/535][148211] Loss_D: -0.020701 Loss_G: 0.000222 Loss_D_real: -0.022978 Loss_D_fake -0.002277
[1436/5000][360/535][148212] Loss_D: -0.020575 Loss_G: 0.011910 Loss_D_real: -0.008809 Loss_D_fake 0.011766
[1436/5000][365/535][148213] Loss_D: -0.020425 Loss_G: 0.007986 Loss_D_real: -0.028538 Loss_D_fake -0.008113
[1436/5000][370/535][148214] Loss_D: -0.020145 Loss_G: 0.013457 Loss_D_real: -0.025040 Loss_D_fake -0.004895
[1436/5000][375/535][148215] Loss_D: -0.019339 Loss_G: 0.001596 Loss_D_real: -0.020793 Loss_D_fake -0.001454
[1436/5000][380/535][148216] Loss_D: -0.019322 Loss_G: 0.013045 Loss_D_real: -0.020226 Loss_D_fake -0.000904
[1436/5000][385/535][148217] Loss_D: -0.019373 Loss_G: -0.013261 Loss_D_real: 0.006509 Loss_D_fake 0.025881
[1436/5000][390/535][148218] Loss_D: -0.018277 Loss_G: 0.009700 Loss_D_real: -0.019127 Loss_D_fake -0.000850
[1436/5000][395/535][148219] Loss_D: -0.020905 Loss_G: 0.006355 Loss_D_real: -0.006291 Loss_D_fake 0.014614
[1436/5000][400/535][148220] Loss_D: -0.018528 Loss_G: 0.004198 Loss_D_real: -0.000931 Loss_D_fake 0.017597
[1436/5000][405/535][148221] Loss_D: -0.018047 Loss_G: 0.006070 Loss_D_real: -0.008256 Loss_D_fake 0.009791
[1436/5000][410/535][148222] Loss_D: -0.019127 Loss_G: -0.006377 Loss_D_real: -0.009531 Loss_D_fake 0.009596
[1436/5000][415/535][148223] Loss_D: -0.019736 Loss_G: 0.010852 Loss_D_real: -0.023306 Loss_D_fake -0.003570
[1436/5000][420/535][148224] Loss_D: -0.019337 Loss_G: -0.010491 Loss_D_real: 0.007725 Loss_D_fake 0.027062
[1436/5000][425/535][148225] Loss_D: -0.019607 Loss_G: -0.008100 Loss_D_real: -0.003220 Loss_D_fake 0.016387
[1436/5000][430/535][148226] Loss_D: -0.020544 Loss_G: 0.005886 Loss_D_real: -0.014609 Loss_D_fake 0.005935
[1436/5000][435/535][148227] Loss_D: -0.019842 Loss_G: -0.000667 Loss_D_real: -0.003747 Loss_D_fake 0.016095
[1436/5000][440/535][148228] Loss_D: -0.019474 Loss_G: 0.003505 Loss_D_real: -0.016489 Loss_D_fake 0.002985
[1436/5000][445/535][148229] Loss_D: -0.020861 Loss_G: -0.001435 Loss_D_real: -0.011081 Loss_D_fake 0.009780
[1436/5000][450/535][148230] Loss_D: -0.020170 Loss_G: -0.006168 Loss_D_real: -0.002265 Loss_D_fake 0.017905
[1436/5000][455/535][148231] Loss_D: -0.019697 Loss_G: 0.020202 Loss_D_real: -0.016470 Loss_D_fake 0.003227
[1436/5000][460/535][148232] Loss_D: -0.019332 Loss_G: 0.004998 Loss_D_real: -0.011622 Loss_D_fake 0.007710
[1436/5000][465/535][148233] Loss_D: -0.020223 Loss_G: 0.006863 Loss_D_real: -0.010822 Loss_D_fake 0.009401
[1436/5000][470/535][148234] Loss_D: -0.018698 Loss_G: 0.011538 Loss_D_real: -0.027198 Loss_D_fake -0.008500
[1436/5000][475/535][148235] Loss_D: -0.018778 Loss_G: 0.006579 Loss_D_real: -0.020995 Loss_D_fake -0.002217
[1436/5000][480/535][148236] Loss_D: -0.020956 Loss_G: 0.012478 Loss_D_real: -0.018034 Loss_D_fake 0.002922
[1436/5000][485/535][148237] Loss_D: -0.018281 Loss_G: -0.019360 Loss_D_real: 0.008765 Loss_D_fake 0.027046
[1436/5000][490/535][148238] Loss_D: -0.018542 Loss_G: 0.006703 Loss_D_real: -0.020825 Loss_D_fake -0.002283
[1436/5000][495/535][148239] Loss_D: -0.019634 Loss_G: 0.016547 Loss_D_real: -0.013977 Loss_D_fake 0.005656
[1436/5000][500/535][148240] Loss_D: -0.017417 Loss_G: 0.022412 Loss_D_real: -0.022201 Loss_D_fake -0.004785
[1436/5000][505/535][148241] Loss_D: -0.018153 Loss_G: 0.011449 Loss_D_real: -0.021380 Loss_D_fake -0.003226
[1436/5000][510/535][148242] Loss_D: -0.019951 Loss_G: 0.000659 Loss_D_real: -0.012251 Loss_D_fake 0.007700
[1436/5000][515/535][148243] Loss_D: -0.019701 Loss_G: 0.019407 Loss_D_real: -0.027910 Loss_D_fake -0.008210
[1436/5000][520/535][148244] Loss_D: -0.020017 Loss_G: 0.016937 Loss_D_real: -0.033138 Loss_D_fake -0.013121
[1436/5000][525/535][148245] Loss_D: -0.019317 Loss_G: 0.016146 Loss_D_real: -0.006094 Loss_D_fake 0.013223
[1436/5000][530/535][148246] Loss_D: -0.019119 Loss_G: -0.012092 Loss_D_real: 0.004026 Loss_D_fake 0.023145
[1436/5000][535/535][148247] Loss_D: -0.019930 Loss_G: 0.001390 Loss_D_real: -0.023327 Loss_D_fake -0.003397
[1437/5000][5/535][148248] Loss_D: -0.019571 Loss_G: -0.008767 Loss_D_real: 0.007512 Loss_D_fake 0.027082
[1437/5000][10/535][148249] Loss_D: -0.019839 Loss_G: 0.008288 Loss_D_real: -0.005873 Loss_D_fake 0.013967
[1437/5000][15/535][148250] Loss_D: -0.021022 Loss_G: 0.009151 Loss_D_real: -0.008612 Loss_D_fake 0.012411
[1437/5000][20/535][148251] Loss_D: -0.018743 Loss_G: 0.025966 Loss_D_real: -0.016664 Loss_D_fake 0.002079
[1437/5000][25/535][148252] Loss_D: -0.019421 Loss_G: 0.004790 Loss_D_real: -0.016347 Loss_D_fake 0.003074
[1437/5000][30/535][148253] Loss_D: -0.020157 Loss_G: 0.010063 Loss_D_real: -0.025075 Loss_D_fake -0.004918
[1437/5000][35/535][148254] Loss_D: -0.020178 Loss_G: -0.007468 Loss_D_real: 0.005878 Loss_D_fake 0.026056
[1437/5000][40/535][148255] Loss_D: -0.018940 Loss_G: 0.017342 Loss_D_real: -0.024851 Loss_D_fake -0.005912
[1437/5000][45/535][148256] Loss_D: -0.019774 Loss_G: 0.024715 Loss_D_real: -0.035878 Loss_D_fake -0.016104
[1437/5000][50/535][148257] Loss_D: -0.021130 Loss_G: 0.004742 Loss_D_real: -0.005541 Loss_D_fake 0.015590
[1437/5000][55/535][148258] Loss_D: -0.018630 Loss_G: 0.018922 Loss_D_real: -0.026817 Loss_D_fake -0.008187
[1437/5000][60/535][148259] Loss_D: -0.018766 Loss_G: -0.020157 Loss_D_real: 0.004052 Loss_D_fake 0.022819
[1437/5000][65/535][148260] Loss_D: -0.018000 Loss_G: 0.006267 Loss_D_real: -0.033339 Loss_D_fake -0.015339
[1437/5000][70/535][148261] Loss_D: -0.020118 Loss_G: -0.008843 Loss_D_real: -0.000660 Loss_D_fake 0.019458
[1437/5000][75/535][148262] Loss_D: -0.020193 Loss_G: 0.005731 Loss_D_real: -0.018831 Loss_D_fake 0.001362
[1437/5000][80/535][148263] Loss_D: -0.020405 Loss_G: 0.031043 Loss_D_real: -0.030060 Loss_D_fake -0.009655
[1437/5000][85/535][148264] Loss_D: -0.020784 Loss_G: -0.009778 Loss_D_real: -0.012774 Loss_D_fake 0.008010
[1437/5000][90/535][148265] Loss_D: -0.020262 Loss_G: 0.004471 Loss_D_real: -0.004044 Loss_D_fake 0.016218
[1437/5000][95/535][148266] Loss_D: -0.020741 Loss_G: -0.015141 Loss_D_real: -0.005590 Loss_D_fake 0.015151
[1437/5000][100/535][148267] Loss_D: -0.018592 Loss_G: -0.000374 Loss_D_real: -0.018262 Loss_D_fake 0.000330
[1437/5000][105/535][148268] Loss_D: -0.021500 Loss_G: 0.016361 Loss_D_real: -0.014997 Loss_D_fake 0.006502
[1437/5000][110/535][148269] Loss_D: -0.020758 Loss_G: -0.005358 Loss_D_real: -0.013139 Loss_D_fake 0.007618
[1437/5000][115/535][148270] Loss_D: -0.020098 Loss_G: 0.016683 Loss_D_real: -0.027690 Loss_D_fake -0.007592
[1437/5000][120/535][148271] Loss_D: -0.018875 Loss_G: 0.009974 Loss_D_real: -0.021618 Loss_D_fake -0.002743
[1437/5000][125/535][148272] Loss_D: -0.020978 Loss_G: 0.023348 Loss_D_real: -0.021095 Loss_D_fake -0.000117
[1437/5000][130/535][148273] Loss_D: -0.018659 Loss_G: -0.010300 Loss_D_real: -0.007714 Loss_D_fake 0.010945
[1437/5000][135/535][148274] Loss_D: -0.018941 Loss_G: -0.002895 Loss_D_real: 0.003368 Loss_D_fake 0.022308
[1437/5000][140/535][148275] Loss_D: -0.020507 Loss_G: 0.020098 Loss_D_real: -0.027455 Loss_D_fake -0.006948
[1437/5000][145/535][148276] Loss_D: -0.022045 Loss_G: -0.012754 Loss_D_real: -0.013957 Loss_D_fake 0.008088
[1437/5000][150/535][148277] Loss_D: -0.018424 Loss_G: 0.020596 Loss_D_real: -0.017645 Loss_D_fake 0.000779
[1437/5000][155/535][148278] Loss_D: -0.019017 Loss_G: -0.010587 Loss_D_real: -0.024399 Loss_D_fake -0.005382
[1437/5000][160/535][148279] Loss_D: -0.019849 Loss_G: -0.000087 Loss_D_real: -0.018860 Loss_D_fake 0.000989
[1437/5000][165/535][148280] Loss_D: -0.019408 Loss_G: 0.022321 Loss_D_real: -0.022493 Loss_D_fake -0.003085
[1437/5000][170/535][148281] Loss_D: -0.019512 Loss_G: 0.020692 Loss_D_real: -0.029157 Loss_D_fake -0.009645
[1437/5000][175/535][148282] Loss_D: -0.022152 Loss_G: 0.021641 Loss_D_real: -0.019123 Loss_D_fake 0.003029
[1437/5000][180/535][148283] Loss_D: -0.020043 Loss_G: 0.005906 Loss_D_real: -0.013592 Loss_D_fake 0.006451
[1437/5000][185/535][148284] Loss_D: -0.020516 Loss_G: 0.020155 Loss_D_real: -0.032897 Loss_D_fake -0.012381
[1437/5000][190/535][148285] Loss_D: -0.020107 Loss_G: -0.009589 Loss_D_real: -0.003458 Loss_D_fake 0.016649
[1437/5000][195/535][148286] Loss_D: -0.018993 Loss_G: 0.021706 Loss_D_real: -0.027640 Loss_D_fake -0.008646
[1437/5000][200/535][148287] Loss_D: -0.021616 Loss_G: 0.015108 Loss_D_real: -0.000517 Loss_D_fake 0.021099
[1437/5000][205/535][148288] Loss_D: -0.021356 Loss_G: 0.010109 Loss_D_real: -0.022459 Loss_D_fake -0.001103
[1437/5000][210/535][148289] Loss_D: -0.020279 Loss_G: 0.009964 Loss_D_real: -0.019925 Loss_D_fake 0.000354
[1437/5000][215/535][148290] Loss_D: -0.019691 Loss_G: 0.000101 Loss_D_real: -0.010499 Loss_D_fake 0.009192
[1437/5000][220/535][148291] Loss_D: -0.019442 Loss_G: 0.016232 Loss_D_real: -0.034842 Loss_D_fake -0.015399
[1437/5000][225/535][148292] Loss_D: -0.019829 Loss_G: -0.006841 Loss_D_real: -0.006348 Loss_D_fake 0.013481
[1437/5000][230/535][148293] Loss_D: -0.018854 Loss_G: -0.009045 Loss_D_real: 0.008048 Loss_D_fake 0.026902
[1437/5000][235/535][148294] Loss_D: -0.018075 Loss_G: 0.019766 Loss_D_real: -0.020707 Loss_D_fake -0.002632
[1437/5000][240/535][148295] Loss_D: -0.018618 Loss_G: -0.007882 Loss_D_real: -0.005894 Loss_D_fake 0.012724
[1437/5000][245/535][148296] Loss_D: -0.018790 Loss_G: 0.010603 Loss_D_real: -0.021136 Loss_D_fake -0.002345
[1437/5000][250/535][148297] Loss_D: -0.017511 Loss_G: -0.010802 Loss_D_real: -0.002925 Loss_D_fake 0.014585
[1437/5000][255/535][148298] Loss_D: -0.019848 Loss_G: 0.016242 Loss_D_real: -0.016143 Loss_D_fake 0.003705
[1437/5000][260/535][148299] Loss_D: -0.019771 Loss_G: 0.018817 Loss_D_real: -0.031190 Loss_D_fake -0.011419
[1437/5000][265/535][148300] Loss_D: -0.020951 Loss_G: 0.019062 Loss_D_real: -0.024100 Loss_D_fake -0.003150
[1437/5000][270/535][148301] Loss_D: -0.020273 Loss_G: 0.018609 Loss_D_real: -0.017473 Loss_D_fake 0.002800
[1437/5000][275/535][148302] Loss_D: -0.019577 Loss_G: -0.000613 Loss_D_real: -0.021445 Loss_D_fake -0.001868
[1437/5000][280/535][148303] Loss_D: -0.018950 Loss_G: 0.020728 Loss_D_real: -0.036530 Loss_D_fake -0.017580
[1437/5000][285/535][148304] Loss_D: -0.020980 Loss_G: -0.001457 Loss_D_real: -0.003390 Loss_D_fake 0.017590
[1437/5000][290/535][148305] Loss_D: -0.019573 Loss_G: 0.001270 Loss_D_real: -0.015986 Loss_D_fake 0.003587
[1437/5000][295/535][148306] Loss_D: -0.021016 Loss_G: -0.004645 Loss_D_real: -0.015303 Loss_D_fake 0.005713
[1437/5000][300/535][148307] Loss_D: -0.020452 Loss_G: 0.011532 Loss_D_real: -0.022056 Loss_D_fake -0.001604
[1437/5000][305/535][148308] Loss_D: -0.019920 Loss_G: -0.003115 Loss_D_real: -0.006522 Loss_D_fake 0.013399
[1437/5000][310/535][148309] Loss_D: -0.019688 Loss_G: -0.000445 Loss_D_real: -0.004492 Loss_D_fake 0.015196
[1437/5000][315/535][148310] Loss_D: -0.019722 Loss_G: 0.010698 Loss_D_real: -0.010378 Loss_D_fake 0.009344
[1437/5000][320/535][148311] Loss_D: -0.019882 Loss_G: 0.002610 Loss_D_real: -0.015824 Loss_D_fake 0.004058
[1437/5000][325/535][148312] Loss_D: -0.019554 Loss_G: 0.021207 Loss_D_real: -0.020295 Loss_D_fake -0.000741
[1437/5000][330/535][148313] Loss_D: -0.018420 Loss_G: 0.022485 Loss_D_real: -0.012496 Loss_D_fake 0.005923
[1437/5000][335/535][148314] Loss_D: -0.017941 Loss_G: 0.010562 Loss_D_real: -0.023095 Loss_D_fake -0.005153
[1437/5000][340/535][148315] Loss_D: -0.019328 Loss_G: -0.007349 Loss_D_real: 0.001527 Loss_D_fake 0.020855
[1437/5000][345/535][148316] Loss_D: -0.019387 Loss_G: 0.006298 Loss_D_real: -0.020299 Loss_D_fake -0.000912
[1437/5000][350/535][148317] Loss_D: -0.019550 Loss_G: -0.006852 Loss_D_real: -0.015101 Loss_D_fake 0.004450
[1437/5000][355/535][148318] Loss_D: -0.018841 Loss_G: 0.024945 Loss_D_real: -0.027116 Loss_D_fake -0.008275
[1437/5000][360/535][148319] Loss_D: -0.019972 Loss_G: -0.009301 Loss_D_real: -0.003601 Loss_D_fake 0.016371
[1437/5000][365/535][148320] Loss_D: -0.020365 Loss_G: 0.023281 Loss_D_real: -0.017423 Loss_D_fake 0.002943
[1437/5000][370/535][148321] Loss_D: -0.020167 Loss_G: 0.019303 Loss_D_real: -0.021941 Loss_D_fake -0.001774
[1437/5000][375/535][148322] Loss_D: -0.019144 Loss_G: 0.018576 Loss_D_real: -0.021324 Loss_D_fake -0.002179
[1437/5000][380/535][148323] Loss_D: -0.019373 Loss_G: 0.009987 Loss_D_real: -0.022954 Loss_D_fake -0.003581
[1437/5000][385/535][148324] Loss_D: -0.020209 Loss_G: -0.011207 Loss_D_real: 0.000273 Loss_D_fake 0.020482
[1437/5000][390/535][148325] Loss_D: -0.019723 Loss_G: -0.001519 Loss_D_real: -0.015638 Loss_D_fake 0.004085
[1437/5000][395/535][148326] Loss_D: -0.019297 Loss_G: 0.023419 Loss_D_real: -0.025975 Loss_D_fake -0.006678
[1437/5000][400/535][148327] Loss_D: -0.020260 Loss_G: 0.018110 Loss_D_real: -0.018585 Loss_D_fake 0.001675
[1437/5000][405/535][148328] Loss_D: -0.019464 Loss_G: -0.014842 Loss_D_real: -0.009770 Loss_D_fake 0.009693
[1437/5000][410/535][148329] Loss_D: -0.018590 Loss_G: 0.004802 Loss_D_real: 0.001505 Loss_D_fake 0.020095
[1437/5000][415/535][148330] Loss_D: -0.018590 Loss_G: 0.027465 Loss_D_real: -0.031774 Loss_D_fake -0.013185
[1437/5000][420/535][148331] Loss_D: -0.021432 Loss_G: 0.002121 Loss_D_real: -0.017319 Loss_D_fake 0.004113
[1437/5000][425/535][148332] Loss_D: -0.021787 Loss_G: 0.005209 Loss_D_real: -0.014317 Loss_D_fake 0.007470
[1437/5000][430/535][148333] Loss_D: -0.020275 Loss_G: -0.013437 Loss_D_real: 0.009672 Loss_D_fake 0.029947
[1437/5000][435/535][148334] Loss_D: -0.019141 Loss_G: 0.003156 Loss_D_real: -0.017617 Loss_D_fake 0.001523
[1437/5000][440/535][148335] Loss_D: -0.019504 Loss_G: -0.012635 Loss_D_real: -0.002128 Loss_D_fake 0.017376
[1437/5000][445/535][148336] Loss_D: -0.021120 Loss_G: -0.000666 Loss_D_real: -0.009315 Loss_D_fake 0.011804
[1437/5000][450/535][148337] Loss_D: -0.019828 Loss_G: 0.003847 Loss_D_real: -0.001968 Loss_D_fake 0.017860
[1437/5000][455/535][148338] Loss_D: -0.020379 Loss_G: 0.006998 Loss_D_real: -0.016566 Loss_D_fake 0.003812
[1437/5000][460/535][148339] Loss_D: -0.020367 Loss_G: 0.011269 Loss_D_real: -0.025871 Loss_D_fake -0.005504
[1437/5000][465/535][148340] Loss_D: -0.019897 Loss_G: 0.027484 Loss_D_real: -0.018746 Loss_D_fake 0.001151
[1437/5000][470/535][148341] Loss_D: -0.019577 Loss_G: 0.009125 Loss_D_real: -0.017693 Loss_D_fake 0.001884
[1437/5000][475/535][148342] Loss_D: -0.019401 Loss_G: -0.013571 Loss_D_real: 0.002038 Loss_D_fake 0.021438
[1437/5000][480/535][148343] Loss_D: -0.019832 Loss_G: 0.003862 Loss_D_real: -0.028706 Loss_D_fake -0.008874
[1437/5000][485/535][148344] Loss_D: -0.018259 Loss_G: -0.006826 Loss_D_real: 0.000738 Loss_D_fake 0.018997
[1437/5000][490/535][148345] Loss_D: -0.018147 Loss_G: 0.021419 Loss_D_real: -0.021657 Loss_D_fake -0.003510
[1437/5000][495/535][148346] Loss_D: -0.020007 Loss_G: 0.018062 Loss_D_real: -0.011051 Loss_D_fake 0.008956
[1437/5000][500/535][148347] Loss_D: -0.020486 Loss_G: 0.001052 Loss_D_real: -0.018900 Loss_D_fake 0.001586
[1437/5000][505/535][148348] Loss_D: -0.018919 Loss_G: 0.019852 Loss_D_real: -0.032168 Loss_D_fake -0.013249
[1437/5000][510/535][148349] Loss_D: -0.019005 Loss_G: 0.008953 Loss_D_real: -0.033613 Loss_D_fake -0.014608
[1437/5000][515/535][148350] Loss_D: -0.020992 Loss_G: 0.011710 Loss_D_real: -0.022187 Loss_D_fake -0.001195
[1437/5000][520/535][148351] Loss_D: -0.019888 Loss_G: 0.026586 Loss_D_real: -0.013813 Loss_D_fake 0.006075
[1437/5000][525/535][148352] Loss_D: -0.018791 Loss_G: 0.015005 Loss_D_real: -0.030806 Loss_D_fake -0.012015
[1437/5000][530/535][148353] Loss_D: -0.019154 Loss_G: -0.012468 Loss_D_real: -0.009260 Loss_D_fake 0.009894
[1437/5000][535/535][148354] Loss_D: -0.021931 Loss_G: 0.008284 Loss_D_real: -0.022248 Loss_D_fake -0.000317
[1438/5000][5/535][148355] Loss_D: -0.020074 Loss_G: -0.000584 Loss_D_real: 0.004276 Loss_D_fake 0.024350
[1438/5000][10/535][148356] Loss_D: -0.017983 Loss_G: -0.011276 Loss_D_real: -0.018508 Loss_D_fake -0.000525
[1438/5000][15/535][148357] Loss_D: -0.020162 Loss_G: 0.017461 Loss_D_real: -0.019163 Loss_D_fake 0.000999
[1438/5000][20/535][148358] Loss_D: -0.019841 Loss_G: 0.011388 Loss_D_real: -0.018000 Loss_D_fake 0.001841
[1438/5000][25/535][148359] Loss_D: -0.017557 Loss_G: -0.016451 Loss_D_real: -0.004104 Loss_D_fake 0.013453
[1438/5000][30/535][148360] Loss_D: -0.017981 Loss_G: -0.027912 Loss_D_real: 0.003971 Loss_D_fake 0.021952
[1438/5000][35/535][148361] Loss_D: -0.019581 Loss_G: 0.012574 Loss_D_real: -0.005135 Loss_D_fake 0.014447
[1438/5000][40/535][148362] Loss_D: -0.020913 Loss_G: 0.008027 Loss_D_real: -0.006604 Loss_D_fake 0.014310
[1438/5000][45/535][148363] Loss_D: -0.019126 Loss_G: -0.003975 Loss_D_real: -0.009834 Loss_D_fake 0.009292
[1438/5000][50/535][148364] Loss_D: -0.018768 Loss_G: 0.011101 Loss_D_real: -0.026352 Loss_D_fake -0.007584
[1438/5000][55/535][148365] Loss_D: -0.021040 Loss_G: 0.011062 Loss_D_real: -0.017348 Loss_D_fake 0.003692
[1438/5000][60/535][148366] Loss_D: -0.020676 Loss_G: 0.012207 Loss_D_real: -0.009736 Loss_D_fake 0.010940
[1438/5000][65/535][148367] Loss_D: -0.019666 Loss_G: 0.017027 Loss_D_real: -0.037454 Loss_D_fake -0.017788
[1438/5000][70/535][148368] Loss_D: -0.022837 Loss_G: 0.014876 Loss_D_real: -0.017529 Loss_D_fake 0.005308
[1438/5000][75/535][148369] Loss_D: -0.021266 Loss_G: 0.028508 Loss_D_real: -0.019440 Loss_D_fake 0.001825
[1438/5000][80/535][148370] Loss_D: -0.021184 Loss_G: 0.016663 Loss_D_real: -0.021881 Loss_D_fake -0.000697
[1438/5000][85/535][148371] Loss_D: -0.019956 Loss_G: -0.009034 Loss_D_real: 0.002597 Loss_D_fake 0.022553
[1438/5000][90/535][148372] Loss_D: -0.020137 Loss_G: -0.008740 Loss_D_real: -0.005340 Loss_D_fake 0.014797
[1438/5000][95/535][148373] Loss_D: -0.017824 Loss_G: 0.021527 Loss_D_real: -0.021902 Loss_D_fake -0.004077
[1438/5000][100/535][148374] Loss_D: -0.019353 Loss_G: 0.003404 Loss_D_real: -0.018715 Loss_D_fake 0.000638
[1438/5000][105/535][148375] Loss_D: -0.019255 Loss_G: 0.011649 Loss_D_real: -0.016740 Loss_D_fake 0.002516
[1438/5000][110/535][148376] Loss_D: -0.020983 Loss_G: 0.009234 Loss_D_real: -0.025639 Loss_D_fake -0.004657
[1438/5000][115/535][148377] Loss_D: -0.019612 Loss_G: -0.010460 Loss_D_real: -0.001332 Loss_D_fake 0.018280
[1438/5000][120/535][148378] Loss_D: -0.020079 Loss_G: -0.007240 Loss_D_real: -0.017518 Loss_D_fake 0.002560
[1438/5000][125/535][148379] Loss_D: -0.020015 Loss_G: 0.002441 Loss_D_real: -0.005503 Loss_D_fake 0.014513
[1438/5000][130/535][148380] Loss_D: -0.021753 Loss_G: 0.008718 Loss_D_real: -0.020401 Loss_D_fake 0.001352
[1438/5000][135/535][148381] Loss_D: -0.020739 Loss_G: 0.021450 Loss_D_real: -0.019445 Loss_D_fake 0.001294
[1438/5000][140/535][148382] Loss_D: -0.021233 Loss_G: 0.009657 Loss_D_real: -0.017462 Loss_D_fake 0.003771
[1438/5000][145/535][148383] Loss_D: -0.019468 Loss_G: 0.016173 Loss_D_real: -0.027881 Loss_D_fake -0.008413
[1438/5000][150/535][148384] Loss_D: -0.019110 Loss_G: 0.028884 Loss_D_real: -0.037821 Loss_D_fake -0.018711
[1438/5000][155/535][148385] Loss_D: -0.020350 Loss_G: -0.008807 Loss_D_real: -0.008112 Loss_D_fake 0.012238
[1438/5000][160/535][148386] Loss_D: -0.020485 Loss_G: -0.001386 Loss_D_real: -0.013477 Loss_D_fake 0.007008
[1438/5000][165/535][148387] Loss_D: -0.017259 Loss_G: -0.002418 Loss_D_real: -0.010846 Loss_D_fake 0.006412
[1438/5000][170/535][148388] Loss_D: -0.019727 Loss_G: -0.008283 Loss_D_real: -0.004496 Loss_D_fake 0.015230
[1438/5000][175/535][148389] Loss_D: -0.020324 Loss_G: 0.016518 Loss_D_real: -0.024130 Loss_D_fake -0.003806
[1438/5000][180/535][148390] Loss_D: -0.019255 Loss_G: -0.009895 Loss_D_real: -0.013602 Loss_D_fake 0.005653
[1438/5000][185/535][148391] Loss_D: -0.020136 Loss_G: 0.026573 Loss_D_real: -0.032374 Loss_D_fake -0.012238
[1438/5000][190/535][148392] Loss_D: -0.020560 Loss_G: 0.004512 Loss_D_real: -0.015788 Loss_D_fake 0.004772
[1438/5000][195/535][148393] Loss_D: -0.019494 Loss_G: 0.014775 Loss_D_real: -0.026993 Loss_D_fake -0.007499
[1438/5000][200/535][148394] Loss_D: -0.020187 Loss_G: 0.015305 Loss_D_real: -0.014574 Loss_D_fake 0.005613
[1438/5000][205/535][148395] Loss_D: -0.020101 Loss_G: 0.021043 Loss_D_real: -0.019380 Loss_D_fake 0.000721
[1438/5000][210/535][148396] Loss_D: -0.019575 Loss_G: 0.014091 Loss_D_real: -0.022398 Loss_D_fake -0.002823
[1438/5000][215/535][148397] Loss_D: -0.018427 Loss_G: -0.011536 Loss_D_real: 0.003818 Loss_D_fake 0.022244
[1438/5000][220/535][148398] Loss_D: -0.020132 Loss_G: -0.003712 Loss_D_real: -0.001648 Loss_D_fake 0.018484
[1438/5000][225/535][148399] Loss_D: -0.018784 Loss_G: 0.013162 Loss_D_real: -0.009573 Loss_D_fake 0.009212
[1438/5000][230/535][148400] Loss_D: -0.019788 Loss_G: -0.003282 Loss_D_real: -0.007633 Loss_D_fake 0.012155
[1438/5000][235/535][148401] Loss_D: -0.019292 Loss_G: -0.013118 Loss_D_real: -0.006957 Loss_D_fake 0.012335
[1438/5000][240/535][148402] Loss_D: -0.019810 Loss_G: -0.011158 Loss_D_real: -0.002956 Loss_D_fake 0.016854
[1438/5000][245/535][148403] Loss_D: -0.019666 Loss_G: 0.001800 Loss_D_real: -0.014105 Loss_D_fake 0.005561
[1438/5000][250/535][148404] Loss_D: -0.020771 Loss_G: -0.011644 Loss_D_real: 0.005079 Loss_D_fake 0.025850
[1438/5000][255/535][148405] Loss_D: -0.020166 Loss_G: 0.022703 Loss_D_real: -0.010054 Loss_D_fake 0.010112
[1438/5000][260/535][148406] Loss_D: -0.019303 Loss_G: 0.033845 Loss_D_real: -0.027926 Loss_D_fake -0.008624
[1438/5000][265/535][148407] Loss_D: -0.019924 Loss_G: 0.008151 Loss_D_real: -0.018780 Loss_D_fake 0.001144
[1438/5000][270/535][148408] Loss_D: -0.019949 Loss_G: -0.001531 Loss_D_real: -0.003069 Loss_D_fake 0.016880
[1438/5000][275/535][148409] Loss_D: -0.020448 Loss_G: 0.014904 Loss_D_real: -0.010253 Loss_D_fake 0.010195
[1438/5000][280/535][148410] Loss_D: -0.019532 Loss_G: 0.023880 Loss_D_real: -0.029933 Loss_D_fake -0.010401
[1438/5000][285/535][148411] Loss_D: -0.019913 Loss_G: 0.010216 Loss_D_real: -0.030931 Loss_D_fake -0.011018
[1438/5000][290/535][148412] Loss_D: -0.018831 Loss_G: 0.022889 Loss_D_real: -0.044974 Loss_D_fake -0.026143
[1438/5000][295/535][148413] Loss_D: -0.020466 Loss_G: -0.008767 Loss_D_real: 0.000620 Loss_D_fake 0.021085
[1438/5000][300/535][148414] Loss_D: -0.019299 Loss_G: 0.016848 Loss_D_real: -0.035025 Loss_D_fake -0.015725
[1438/5000][305/535][148415] Loss_D: -0.020837 Loss_G: -0.007257 Loss_D_real: -0.004805 Loss_D_fake 0.016032
[1438/5000][310/535][148416] Loss_D: -0.019992 Loss_G: 0.010665 Loss_D_real: -0.009316 Loss_D_fake 0.010676
[1438/5000][315/535][148417] Loss_D: -0.020781 Loss_G: 0.009659 Loss_D_real: -0.012884 Loss_D_fake 0.007896
[1438/5000][320/535][148418] Loss_D: -0.020990 Loss_G: 0.007770 Loss_D_real: -0.004318 Loss_D_fake 0.016673
[1438/5000][325/535][148419] Loss_D: -0.020404 Loss_G: 0.017064 Loss_D_real: -0.028614 Loss_D_fake -0.008210
[1438/5000][330/535][148420] Loss_D: -0.019452 Loss_G: 0.015951 Loss_D_real: -0.011038 Loss_D_fake 0.008414
[1438/5000][335/535][148421] Loss_D: -0.020486 Loss_G: 0.007569 Loss_D_real: -0.013979 Loss_D_fake 0.006507
[1438/5000][340/535][148422] Loss_D: -0.020712 Loss_G: -0.008747 Loss_D_real: -0.008897 Loss_D_fake 0.011816
[1438/5000][345/535][148423] Loss_D: -0.017817 Loss_G: 0.031328 Loss_D_real: -0.040934 Loss_D_fake -0.023117
[1438/5000][350/535][148424] Loss_D: -0.020516 Loss_G: 0.013791 Loss_D_real: -0.027270 Loss_D_fake -0.006753
[1438/5000][355/535][148425] Loss_D: -0.019749 Loss_G: 0.004733 Loss_D_real: -0.012698 Loss_D_fake 0.007050
[1438/5000][360/535][148426] Loss_D: -0.021399 Loss_G: -0.001369 Loss_D_real: -0.015421 Loss_D_fake 0.005977
[1438/5000][365/535][148427] Loss_D: -0.018807 Loss_G: 0.017709 Loss_D_real: -0.028420 Loss_D_fake -0.009612
[1438/5000][370/535][148428] Loss_D: -0.018255 Loss_G: 0.000922 Loss_D_real: -0.016443 Loss_D_fake 0.001812
[1438/5000][375/535][148429] Loss_D: -0.019797 Loss_G: -0.024878 Loss_D_real: -0.003863 Loss_D_fake 0.015934
[1438/5000][380/535][148430] Loss_D: -0.020677 Loss_G: -0.011086 Loss_D_real: -0.019005 Loss_D_fake 0.001672
[1438/5000][385/535][148431] Loss_D: -0.019537 Loss_G: 0.023414 Loss_D_real: -0.021323 Loss_D_fake -0.001786
[1438/5000][390/535][148432] Loss_D: -0.020204 Loss_G: 0.005008 Loss_D_real: -0.003665 Loss_D_fake 0.016538
[1438/5000][395/535][148433] Loss_D: -0.020514 Loss_G: -0.002205 Loss_D_real: -0.002076 Loss_D_fake 0.018437
[1438/5000][400/535][148434] Loss_D: -0.021413 Loss_G: 0.024269 Loss_D_real: -0.021439 Loss_D_fake -0.000025
[1438/5000][405/535][148435] Loss_D: -0.019472 Loss_G: 0.001776 Loss_D_real: -0.013904 Loss_D_fake 0.005568
[1438/5000][410/535][148436] Loss_D: -0.019222 Loss_G: 0.002599 Loss_D_real: -0.015858 Loss_D_fake 0.003365
[1438/5000][415/535][148437] Loss_D: -0.019851 Loss_G: 0.018202 Loss_D_real: -0.017401 Loss_D_fake 0.002450
[1438/5000][420/535][148438] Loss_D: -0.020927 Loss_G: -0.004991 Loss_D_real: -0.013774 Loss_D_fake 0.007153
[1438/5000][425/535][148439] Loss_D: -0.019924 Loss_G: 0.010033 Loss_D_real: -0.014862 Loss_D_fake 0.005062
[1438/5000][430/535][148440] Loss_D: -0.019861 Loss_G: 0.010402 Loss_D_real: -0.016021 Loss_D_fake 0.003840
[1438/5000][435/535][148441] Loss_D: -0.018826 Loss_G: 0.018257 Loss_D_real: -0.025637 Loss_D_fake -0.006811
[1438/5000][440/535][148442] Loss_D: -0.018592 Loss_G: -0.001111 Loss_D_real: -0.007269 Loss_D_fake 0.011323
[1438/5000][445/535][148443] Loss_D: -0.018481 Loss_G: -0.008585 Loss_D_real: -0.008317 Loss_D_fake 0.010164
[1438/5000][450/535][148444] Loss_D: -0.018598 Loss_G: 0.014398 Loss_D_real: -0.021949 Loss_D_fake -0.003350
[1438/5000][455/535][148445] Loss_D: -0.020340 Loss_G: -0.002530 Loss_D_real: -0.013373 Loss_D_fake 0.006967
[1438/5000][460/535][148446] Loss_D: -0.018940 Loss_G: 0.013592 Loss_D_real: -0.013856 Loss_D_fake 0.005083
[1438/5000][465/535][148447] Loss_D: -0.020011 Loss_G: 0.009770 Loss_D_real: -0.017328 Loss_D_fake 0.002683
[1438/5000][470/535][148448] Loss_D: -0.018113 Loss_G: 0.012584 Loss_D_real: -0.016472 Loss_D_fake 0.001641
[1438/5000][475/535][148449] Loss_D: -0.020003 Loss_G: 0.012388 Loss_D_real: -0.022060 Loss_D_fake -0.002057
[1438/5000][480/535][148450] Loss_D: -0.020539 Loss_G: -0.004038 Loss_D_real: -0.010827 Loss_D_fake 0.009713
[1438/5000][485/535][148451] Loss_D: -0.019698 Loss_G: 0.001035 Loss_D_real: -0.004863 Loss_D_fake 0.014834
[1438/5000][490/535][148452] Loss_D: -0.019203 Loss_G: -0.006078 Loss_D_real: -0.006514 Loss_D_fake 0.012690
[1438/5000][495/535][148453] Loss_D: -0.019855 Loss_G: -0.013257 Loss_D_real: 0.004346 Loss_D_fake 0.024201
[1438/5000][500/535][148454] Loss_D: -0.019810 Loss_G: -0.002953 Loss_D_real: 0.000009 Loss_D_fake 0.019819
[1438/5000][505/535][148455] Loss_D: -0.020408 Loss_G: 0.016645 Loss_D_real: -0.033287 Loss_D_fake -0.012878
[1438/5000][510/535][148456] Loss_D: -0.020338 Loss_G: -0.001386 Loss_D_real: -0.006259 Loss_D_fake 0.014079
[1438/5000][515/535][148457] Loss_D: -0.020276 Loss_G: 0.003112 Loss_D_real: -0.012994 Loss_D_fake 0.007282
[1438/5000][520/535][148458] Loss_D: -0.020734 Loss_G: 0.008172 Loss_D_real: -0.008045 Loss_D_fake 0.012688
[1438/5000][525/535][148459] Loss_D: -0.019520 Loss_G: 0.019792 Loss_D_real: -0.018037 Loss_D_fake 0.001483
[1438/5000][530/535][148460] Loss_D: -0.018899 Loss_G: 0.014076 Loss_D_real: -0.032322 Loss_D_fake -0.013423
[1438/5000][535/535][148461] Loss_D: -0.019637 Loss_G: 0.019088 Loss_D_real: -0.025502 Loss_D_fake -0.005866
[1439/5000][5/535][148462] Loss_D: -0.019654 Loss_G: 0.012809 Loss_D_real: -0.019585 Loss_D_fake 0.000069
[1439/5000][10/535][148463] Loss_D: -0.019547 Loss_G: 0.019191 Loss_D_real: -0.026154 Loss_D_fake -0.006606
[1439/5000][15/535][148464] Loss_D: -0.019436 Loss_G: -0.011346 Loss_D_real: -0.009433 Loss_D_fake 0.010003
[1439/5000][20/535][148465] Loss_D: -0.019511 Loss_G: -0.010713 Loss_D_real: 0.006567 Loss_D_fake 0.026078
[1439/5000][25/535][148466] Loss_D: -0.018626 Loss_G: 0.010067 Loss_D_real: -0.015826 Loss_D_fake 0.002800
[1439/5000][30/535][148467] Loss_D: -0.018349 Loss_G: 0.009026 Loss_D_real: -0.009866 Loss_D_fake 0.008483
[1439/5000][35/535][148468] Loss_D: -0.019463 Loss_G: 0.015093 Loss_D_real: -0.017432 Loss_D_fake 0.002032
[1439/5000][40/535][148469] Loss_D: -0.019967 Loss_G: 0.010697 Loss_D_real: -0.019165 Loss_D_fake 0.000802
[1439/5000][45/535][148470] Loss_D: -0.020594 Loss_G: 0.019024 Loss_D_real: -0.020991 Loss_D_fake -0.000397
[1439/5000][50/535][148471] Loss_D: -0.021392 Loss_G: -0.005896 Loss_D_real: -0.005491 Loss_D_fake 0.015901
[1439/5000][55/535][148472] Loss_D: -0.018450 Loss_G: -0.013292 Loss_D_real: 0.005359 Loss_D_fake 0.023809
[1439/5000][60/535][148473] Loss_D: -0.020365 Loss_G: 0.012956 Loss_D_real: -0.019652 Loss_D_fake 0.000713
[1439/5000][65/535][148474] Loss_D: -0.019583 Loss_G: 0.017082 Loss_D_real: -0.018906 Loss_D_fake 0.000677
[1439/5000][70/535][148475] Loss_D: -0.021536 Loss_G: 0.015074 Loss_D_real: -0.019823 Loss_D_fake 0.001714
[1439/5000][75/535][148476] Loss_D: -0.019563 Loss_G: 0.003291 Loss_D_real: -0.018761 Loss_D_fake 0.000801
[1439/5000][80/535][148477] Loss_D: -0.018890 Loss_G: 0.018220 Loss_D_real: -0.022629 Loss_D_fake -0.003739
[1439/5000][85/535][148478] Loss_D: -0.020288 Loss_G: 0.010272 Loss_D_real: -0.019424 Loss_D_fake 0.000865
[1439/5000][90/535][148479] Loss_D: -0.019153 Loss_G: 0.007593 Loss_D_real: -0.017605 Loss_D_fake 0.001549
[1439/5000][95/535][148480] Loss_D: -0.019386 Loss_G: -0.008259 Loss_D_real: -0.005617 Loss_D_fake 0.013769
[1439/5000][100/535][148481] Loss_D: -0.019721 Loss_G: 0.012914 Loss_D_real: -0.014726 Loss_D_fake 0.004995
[1439/5000][105/535][148482] Loss_D: -0.019558 Loss_G: -0.009648 Loss_D_real: -0.009254 Loss_D_fake 0.010304
[1439/5000][110/535][148483] Loss_D: -0.020091 Loss_G: 0.000805 Loss_D_real: -0.020438 Loss_D_fake -0.000348
[1439/5000][115/535][148484] Loss_D: -0.022108 Loss_G: 0.024314 Loss_D_real: -0.027425 Loss_D_fake -0.005317
[1439/5000][120/535][148485] Loss_D: -0.020785 Loss_G: 0.018717 Loss_D_real: -0.022754 Loss_D_fake -0.001970
[1439/5000][125/535][148486] Loss_D: -0.021836 Loss_G: 0.002853 Loss_D_real: -0.027208 Loss_D_fake -0.005373
[1439/5000][130/535][148487] Loss_D: -0.019471 Loss_G: 0.025950 Loss_D_real: -0.015430 Loss_D_fake 0.004041
[1439/5000][135/535][148488] Loss_D: -0.020227 Loss_G: 0.013670 Loss_D_real: -0.027499 Loss_D_fake -0.007272
[1439/5000][140/535][148489] Loss_D: -0.020640 Loss_G: 0.011733 Loss_D_real: -0.028000 Loss_D_fake -0.007360
[1439/5000][145/535][148490] Loss_D: -0.020834 Loss_G: 0.023474 Loss_D_real: -0.023690 Loss_D_fake -0.002856
[1439/5000][150/535][148491] Loss_D: -0.017921 Loss_G: 0.027781 Loss_D_real: -0.032739 Loss_D_fake -0.014818
[1439/5000][155/535][148492] Loss_D: -0.021235 Loss_G: 0.002291 Loss_D_real: -0.016050 Loss_D_fake 0.005185
[1439/5000][160/535][148493] Loss_D: -0.019764 Loss_G: -0.008722 Loss_D_real: 0.006248 Loss_D_fake 0.026012
[1439/5000][165/535][148494] Loss_D: -0.020978 Loss_G: -0.002990 Loss_D_real: -0.007797 Loss_D_fake 0.013181
[1439/5000][170/535][148495] Loss_D: -0.019835 Loss_G: -0.015452 Loss_D_real: 0.006310 Loss_D_fake 0.026145
[1439/5000][175/535][148496] Loss_D: -0.018575 Loss_G: 0.018808 Loss_D_real: -0.024716 Loss_D_fake -0.006141
[1439/5000][180/535][148497] Loss_D: -0.018867 Loss_G: -0.020083 Loss_D_real: 0.000606 Loss_D_fake 0.019473
[1439/5000][185/535][148498] Loss_D: -0.020212 Loss_G: 0.005993 Loss_D_real: -0.012807 Loss_D_fake 0.007406
[1439/5000][190/535][148499] Loss_D: -0.020055 Loss_G: -0.010615 Loss_D_real: -0.006506 Loss_D_fake 0.013549
[1439/5000][195/535][148500] Loss_D: -0.019639 Loss_G: 0.007723 Loss_D_real: -0.000078 Loss_D_fake 0.019561
[1439/5000][295/535][148501] Loss_D: -0.020500 Loss_G: 0.006818 Loss_D_real: -0.012727 Loss_D_fake 0.007772
[1439/5000][300/535][148502] Loss_D: -0.019295 Loss_G: 0.003281 Loss_D_real: -0.017382 Loss_D_fake 0.001914
[1439/5000][305/535][148503] Loss_D: -0.018152 Loss_G: 0.010951 Loss_D_real: -0.025123 Loss_D_fake -0.006971
[1439/5000][310/535][148504] Loss_D: -0.020289 Loss_G: 0.015128 Loss_D_real: -0.028075 Loss_D_fake -0.007786
[1439/5000][315/535][148505] Loss_D: -0.020554 Loss_G: 0.014927 Loss_D_real: -0.019064 Loss_D_fake 0.001490
[1439/5000][320/535][148506] Loss_D: -0.018803 Loss_G: -0.004512 Loss_D_real: -0.017166 Loss_D_fake 0.001638
[1439/5000][325/535][148507] Loss_D: -0.018839 Loss_G: -0.011989 Loss_D_real: -0.002587 Loss_D_fake 0.016252
[1439/5000][330/535][148508] Loss_D: -0.018330 Loss_G: 0.021769 Loss_D_real: -0.036309 Loss_D_fake -0.017979
[1439/5000][335/535][148509] Loss_D: -0.018478 Loss_G: 0.026590 Loss_D_real: -0.027030 Loss_D_fake -0.008552
[1439/5000][340/535][148510] Loss_D: -0.017916 Loss_G: 0.018628 Loss_D_real: -0.025783 Loss_D_fake -0.007867
[1439/5000][345/535][148511] Loss_D: -0.018007 Loss_G: -0.004194 Loss_D_real: -0.015178 Loss_D_fake 0.002829
[1439/5000][350/535][148512] Loss_D: -0.020808 Loss_G: 0.003271 Loss_D_real: -0.014356 Loss_D_fake 0.006452
[1439/5000][355/535][148513] Loss_D: -0.020737 Loss_G: 0.003340 Loss_D_real: -0.013519 Loss_D_fake 0.007218
[1439/5000][360/535][148514] Loss_D: -0.020129 Loss_G: -0.000786 Loss_D_real: -0.018325 Loss_D_fake 0.001804
[1439/5000][365/535][148515] Loss_D: -0.020050 Loss_G: 0.014237 Loss_D_real: -0.015234 Loss_D_fake 0.004816
[1439/5000][370/535][148516] Loss_D: -0.020113 Loss_G: -0.008386 Loss_D_real: -0.019766 Loss_D_fake 0.000347
[1439/5000][375/535][148517] Loss_D: -0.020883 Loss_G: -0.002545 Loss_D_real: -0.005874 Loss_D_fake 0.015008
[1439/5000][380/535][148518] Loss_D: -0.019637 Loss_G: -0.016093 Loss_D_real: -0.007872 Loss_D_fake 0.011765
[1439/5000][385/535][148519] Loss_D: -0.020010 Loss_G: 0.018372 Loss_D_real: -0.031262 Loss_D_fake -0.011252
[1439/5000][390/535][148520] Loss_D: -0.019140 Loss_G: 0.017189 Loss_D_real: -0.028671 Loss_D_fake -0.009530
[1439/5000][395/535][148521] Loss_D: -0.018986 Loss_G: -0.014382 Loss_D_real: 0.001769 Loss_D_fake 0.020755
[1439/5000][400/535][148522] Loss_D: -0.019035 Loss_G: 0.012370 Loss_D_real: -0.023981 Loss_D_fake -0.004945
[1439/5000][405/535][148523] Loss_D: -0.020439 Loss_G: -0.014585 Loss_D_real: -0.005783 Loss_D_fake 0.014656
[1439/5000][410/535][148524] Loss_D: -0.019310 Loss_G: 0.017402 Loss_D_real: -0.025684 Loss_D_fake -0.006374
[1439/5000][415/535][148525] Loss_D: -0.017753 Loss_G: 0.034974 Loss_D_real: -0.027174 Loss_D_fake -0.009422
[1439/5000][420/535][148526] Loss_D: -0.019655 Loss_G: 0.005953 Loss_D_real: -0.005016 Loss_D_fake 0.014639
[1439/5000][425/535][148527] Loss_D: -0.018552 Loss_G: -0.004973 Loss_D_real: -0.011880 Loss_D_fake 0.006672
[1439/5000][430/535][148528] Loss_D: -0.019487 Loss_G: 0.012103 Loss_D_real: -0.015996 Loss_D_fake 0.003491
[1439/5000][435/535][148529] Loss_D: -0.019482 Loss_G: 0.001397 Loss_D_real: -0.032214 Loss_D_fake -0.012732
[1439/5000][440/535][148530] Loss_D: -0.019500 Loss_G: -0.002788 Loss_D_real: -0.014311 Loss_D_fake 0.005189
[1439/5000][445/535][148531] Loss_D: -0.020283 Loss_G: 0.010143 Loss_D_real: -0.019192 Loss_D_fake 0.001092
[1439/5000][450/535][148532] Loss_D: -0.019376 Loss_G: 0.000778 Loss_D_real: -0.012451 Loss_D_fake 0.006925
[1439/5000][455/535][148533] Loss_D: -0.018812 Loss_G: 0.020880 Loss_D_real: -0.025919 Loss_D_fake -0.007107
[1439/5000][460/535][148534] Loss_D: -0.018252 Loss_G: -0.010911 Loss_D_real: 0.001001 Loss_D_fake 0.019253
[1439/5000][465/535][148535] Loss_D: -0.019264 Loss_G: 0.012043 Loss_D_real: -0.013453 Loss_D_fake 0.005811
[1439/5000][470/535][148536] Loss_D: -0.019029 Loss_G: -0.009657 Loss_D_real: -0.011036 Loss_D_fake 0.007994
[1439/5000][475/535][148537] Loss_D: -0.020427 Loss_G: 0.013272 Loss_D_real: -0.030805 Loss_D_fake -0.010377
[1439/5000][480/535][148538] Loss_D: -0.019374 Loss_G: -0.012339 Loss_D_real: -0.001268 Loss_D_fake 0.018106
[1439/5000][485/535][148539] Loss_D: -0.020288 Loss_G: -0.005883 Loss_D_real: -0.002246 Loss_D_fake 0.018043
[1439/5000][490/535][148540] Loss_D: -0.018451 Loss_G: 0.033120 Loss_D_real: -0.031884 Loss_D_fake -0.013433
[1439/5000][495/535][148541] Loss_D: -0.019731 Loss_G: -0.012604 Loss_D_real: 0.008143 Loss_D_fake 0.027874
[1439/5000][500/535][148542] Loss_D: -0.019690 Loss_G: 0.018043 Loss_D_real: -0.018522 Loss_D_fake 0.001168
[1439/5000][505/535][148543] Loss_D: -0.018806 Loss_G: -0.021732 Loss_D_real: -0.004725 Loss_D_fake 0.014081
[1439/5000][510/535][148544] Loss_D: -0.018256 Loss_G: 0.020173 Loss_D_real: -0.034991 Loss_D_fake -0.016735
[1439/5000][515/535][148545] Loss_D: -0.020049 Loss_G: 0.013683 Loss_D_real: -0.019158 Loss_D_fake 0.000891
[1439/5000][520/535][148546] Loss_D: -0.020801 Loss_G: 0.004326 Loss_D_real: -0.008789 Loss_D_fake 0.012011
[1439/5000][525/535][148547] Loss_D: -0.018875 Loss_G: 0.012676 Loss_D_real: -0.023597 Loss_D_fake -0.004722
[1439/5000][530/535][148548] Loss_D: -0.020275 Loss_G: 0.018422 Loss_D_real: -0.032691 Loss_D_fake -0.012416
[1439/5000][535/535][148549] Loss_D: -0.021025 Loss_G: -0.019347 Loss_D_real: -0.002932 Loss_D_fake 0.018093
[1440/5000][5/535][148550] Loss_D: -0.020082 Loss_G: -0.002883 Loss_D_real: -0.004961 Loss_D_fake 0.015121
[1440/5000][10/535][148551] Loss_D: -0.020129 Loss_G: 0.006902 Loss_D_real: -0.026674 Loss_D_fake -0.006545
[1440/5000][15/535][148552] Loss_D: -0.021233 Loss_G: 0.007534 Loss_D_real: -0.011023 Loss_D_fake 0.010209
[1440/5000][20/535][148553] Loss_D: -0.019963 Loss_G: 0.012079 Loss_D_real: -0.013733 Loss_D_fake 0.006230
[1440/5000][25/535][148554] Loss_D: -0.020184 Loss_G: 0.008042 Loss_D_real: -0.007315 Loss_D_fake 0.012869
[1440/5000][30/535][148555] Loss_D: -0.018770 Loss_G: -0.000421 Loss_D_real: -0.015757 Loss_D_fake 0.003014
[1440/5000][35/535][148556] Loss_D: -0.021061 Loss_G: 0.000187 Loss_D_real: -0.011909 Loss_D_fake 0.009152
[1440/5000][40/535][148557] Loss_D: -0.020126 Loss_G: 0.017155 Loss_D_real: -0.026336 Loss_D_fake -0.006210
[1440/5000][45/535][148558] Loss_D: -0.020689 Loss_G: 0.022792 Loss_D_real: -0.017813 Loss_D_fake 0.002877
[1440/5000][50/535][148559] Loss_D: -0.019901 Loss_G: 0.012410 Loss_D_real: -0.007776 Loss_D_fake 0.012125
[1440/5000][55/535][148560] Loss_D: -0.020670 Loss_G: -0.001593 Loss_D_real: -0.004053 Loss_D_fake 0.016617
[1440/5000][60/535][148561] Loss_D: -0.019715 Loss_G: 0.005724 Loss_D_real: -0.023375 Loss_D_fake -0.003660
[1440/5000][65/535][148562] Loss_D: -0.019060 Loss_G: 0.013140 Loss_D_real: -0.029064 Loss_D_fake -0.010004
[1440/5000][70/535][148563] Loss_D: -0.020394 Loss_G: -0.019029 Loss_D_real: -0.001229 Loss_D_fake 0.019166
[1440/5000][75/535][148564] Loss_D: -0.019234 Loss_G: 0.009681 Loss_D_real: -0.029118 Loss_D_fake -0.009884
[1440/5000][80/535][148565] Loss_D: -0.022137 Loss_G: 0.022808 Loss_D_real: -0.018102 Loss_D_fake 0.004034
[1440/5000][85/535][148566] Loss_D: -0.021334 Loss_G: -0.000986 Loss_D_real: -0.022590 Loss_D_fake -0.001256
[1440/5000][90/535][148567] Loss_D: -0.019860 Loss_G: -0.001137 Loss_D_real: -0.004542 Loss_D_fake 0.015319
[1440/5000][95/535][148568] Loss_D: -0.020611 Loss_G: 0.003929 Loss_D_real: -0.015429 Loss_D_fake 0.005182
[1440/5000][100/535][148569] Loss_D: -0.020176 Loss_G: -0.005491 Loss_D_real: -0.007124 Loss_D_fake 0.013051
[1440/5000][105/535][148570] Loss_D: -0.019344 Loss_G: 0.016177 Loss_D_real: -0.014818 Loss_D_fake 0.004526
[1440/5000][110/535][148571] Loss_D: -0.021003 Loss_G: -0.006155 Loss_D_real: -0.021692 Loss_D_fake -0.000689
[1440/5000][115/535][148572] Loss_D: -0.020942 Loss_G: -0.004175 Loss_D_real: -0.006921 Loss_D_fake 0.014021
[1440/5000][120/535][148573] Loss_D: -0.018769 Loss_G: 0.013860 Loss_D_real: -0.030277 Loss_D_fake -0.011508
[1440/5000][125/535][148574] Loss_D: -0.020968 Loss_G: 0.009531 Loss_D_real: -0.030098 Loss_D_fake -0.009130
[1440/5000][130/535][148575] Loss_D: -0.019693 Loss_G: -0.006992 Loss_D_real: -0.009121 Loss_D_fake 0.010572
[1440/5000][135/535][148576] Loss_D: -0.019455 Loss_G: 0.016095 Loss_D_real: -0.026873 Loss_D_fake -0.007418
[1440/5000][140/535][148577] Loss_D: -0.019533 Loss_G: 0.019706 Loss_D_real: -0.022595 Loss_D_fake -0.003062
[1440/5000][145/535][148578] Loss_D: -0.019247 Loss_G: 0.020302 Loss_D_real: -0.025827 Loss_D_fake -0.006580
[1440/5000][150/535][148579] Loss_D: -0.019179 Loss_G: -0.001645 Loss_D_real: -0.017815 Loss_D_fake 0.001364
[1440/5000][155/535][148580] Loss_D: -0.018384 Loss_G: 0.021022 Loss_D_real: -0.023749 Loss_D_fake -0.005365
[1440/5000][160/535][148581] Loss_D: -0.018456 Loss_G: 0.001663 Loss_D_real: -0.009886 Loss_D_fake 0.008570
[1440/5000][165/535][148582] Loss_D: -0.019951 Loss_G: 0.004298 Loss_D_real: -0.003792 Loss_D_fake 0.016160
[1440/5000][170/535][148583] Loss_D: -0.019449 Loss_G: -0.001903 Loss_D_real: -0.017178 Loss_D_fake 0.002271
[1440/5000][175/535][148584] Loss_D: -0.018882 Loss_G: 0.017428 Loss_D_real: -0.012750 Loss_D_fake 0.006132
[1440/5000][180/535][148585] Loss_D: -0.020415 Loss_G: -0.006978 Loss_D_real: 0.001848 Loss_D_fake 0.022263
[1440/5000][185/535][148586] Loss_D: -0.018756 Loss_G: 0.004791 Loss_D_real: -0.015740 Loss_D_fake 0.003016
[1440/5000][190/535][148587] Loss_D: -0.019776 Loss_G: 0.020529 Loss_D_real: -0.030798 Loss_D_fake -0.011022
[1440/5000][195/535][148588] Loss_D: -0.019364 Loss_G: -0.000820 Loss_D_real: -0.014013 Loss_D_fake 0.005351
[1440/5000][200/535][148589] Loss_D: -0.018324 Loss_G: 0.006558 Loss_D_real: -0.010366 Loss_D_fake 0.007959
[1440/5000][205/535][148590] Loss_D: -0.020063 Loss_G: 0.009781 Loss_D_real: -0.010138 Loss_D_fake 0.009925
[1440/5000][210/535][148591] Loss_D: -0.018424 Loss_G: 0.011749 Loss_D_real: -0.027135 Loss_D_fake -0.008710
[1440/5000][215/535][148592] Loss_D: -0.020303 Loss_G: 0.023053 Loss_D_real: -0.017578 Loss_D_fake 0.002726
[1440/5000][220/535][148593] Loss_D: -0.019617 Loss_G: 0.010306 Loss_D_real: -0.008900 Loss_D_fake 0.010717
[1440/5000][225/535][148594] Loss_D: -0.021062 Loss_G: -0.004925 Loss_D_real: -0.010257 Loss_D_fake 0.010805
[1440/5000][230/535][148595] Loss_D: -0.020281 Loss_G: -0.014339 Loss_D_real: -0.009222 Loss_D_fake 0.011059
[1440/5000][235/535][148596] Loss_D: -0.018880 Loss_G: -0.003371 Loss_D_real: -0.011852 Loss_D_fake 0.007028
[1440/5000][240/535][148597] Loss_D: -0.020791 Loss_G: -0.000843 Loss_D_real: -0.009647 Loss_D_fake 0.011144
[1440/5000][245/535][148598] Loss_D: -0.020607 Loss_G: 0.025051 Loss_D_real: -0.027069 Loss_D_fake -0.006462
[1440/5000][250/535][148599] Loss_D: -0.020652 Loss_G: 0.007819 Loss_D_real: -0.022864 Loss_D_fake -0.002212
[1440/5000][255/535][148600] Loss_D: -0.020698 Loss_G: 0.008566 Loss_D_real: -0.013035 Loss_D_fake 0.007663
[1440/5000][260/535][148601] Loss_D: -0.019600 Loss_G: 0.017250 Loss_D_real: -0.026627 Loss_D_fake -0.007027
[1440/5000][265/535][148602] Loss_D: -0.020717 Loss_G: 0.018260 Loss_D_real: -0.023708 Loss_D_fake -0.002992
[1440/5000][270/535][148603] Loss_D: -0.019228 Loss_G: 0.005265 Loss_D_real: -0.017399 Loss_D_fake 0.001829
[1440/5000][275/535][148604] Loss_D: -0.020770 Loss_G: 0.006904 Loss_D_real: -0.012994 Loss_D_fake 0.007777
[1440/5000][280/535][148605] Loss_D: -0.019924 Loss_G: 0.010580 Loss_D_real: -0.007575 Loss_D_fake 0.012348
[1440/5000][285/535][148606] Loss_D: -0.019865 Loss_G: 0.014779 Loss_D_real: -0.024747 Loss_D_fake -0.004882
[1440/5000][290/535][148607] Loss_D: -0.020826 Loss_G: 0.002159 Loss_D_real: -0.011126 Loss_D_fake 0.009700
[1440/5000][295/535][148608] Loss_D: -0.019647 Loss_G: 0.012036 Loss_D_real: -0.010246 Loss_D_fake 0.009401
[1440/5000][300/535][148609] Loss_D: -0.019831 Loss_G: 0.012221 Loss_D_real: -0.017713 Loss_D_fake 0.002119
[1440/5000][305/535][148610] Loss_D: -0.021046 Loss_G: 0.009090 Loss_D_real: -0.019525 Loss_D_fake 0.001521
[1440/5000][310/535][148611] Loss_D: -0.020096 Loss_G: 0.022057 Loss_D_real: -0.030012 Loss_D_fake -0.009916
[1440/5000][315/535][148612] Loss_D: -0.020830 Loss_G: -0.001447 Loss_D_real: 0.002527 Loss_D_fake 0.023357
[1440/5000][320/535][148613] Loss_D: -0.020619 Loss_G: -0.003932 Loss_D_real: -0.006156 Loss_D_fake 0.014463
[1440/5000][325/535][148614] Loss_D: -0.018784 Loss_G: 0.029023 Loss_D_real: -0.029032 Loss_D_fake -0.010248
[1440/5000][330/535][148615] Loss_D: -0.019157 Loss_G: -0.003241 Loss_D_real: -0.001392 Loss_D_fake 0.017765
[1440/5000][335/535][148616] Loss_D: -0.019829 Loss_G: 0.012412 Loss_D_real: -0.016159 Loss_D_fake 0.003670
[1440/5000][340/535][148617] Loss_D: -0.018760 Loss_G: 0.025938 Loss_D_real: -0.026325 Loss_D_fake -0.007565
[1440/5000][345/535][148618] Loss_D: -0.020344 Loss_G: 0.002605 Loss_D_real: -0.015595 Loss_D_fake 0.004749
[1440/5000][350/535][148619] Loss_D: -0.020816 Loss_G: -0.002802 Loss_D_real: -0.015108 Loss_D_fake 0.005708
[1440/5000][355/535][148620] Loss_D: -0.020913 Loss_G: 0.018642 Loss_D_real: -0.027376 Loss_D_fake -0.006463
[1440/5000][360/535][148621] Loss_D: -0.020944 Loss_G: 0.000833 Loss_D_real: -0.007686 Loss_D_fake 0.013258
[1440/5000][365/535][148622] Loss_D: -0.020545 Loss_G: 0.013358 Loss_D_real: -0.014292 Loss_D_fake 0.006252
[1440/5000][370/535][148623] Loss_D: -0.019802 Loss_G: 0.010759 Loss_D_real: -0.015925 Loss_D_fake 0.003878
[1440/5000][375/535][148624] Loss_D: -0.018453 Loss_G: 0.027989 Loss_D_real: -0.021209 Loss_D_fake -0.002756
[1440/5000][380/535][148625] Loss_D: -0.018191 Loss_G: 0.016935 Loss_D_real: -0.027246 Loss_D_fake -0.009055
[1440/5000][385/535][148626] Loss_D: -0.020988 Loss_G: -0.017361 Loss_D_real: -0.004992 Loss_D_fake 0.015996
[1440/5000][390/535][148627] Loss_D: -0.018238 Loss_G: -0.025975 Loss_D_real: 0.002722 Loss_D_fake 0.020960
[1440/5000][395/535][148628] Loss_D: -0.019954 Loss_G: 0.024127 Loss_D_real: -0.021007 Loss_D_fake -0.001054
[1440/5000][400/535][148629] Loss_D: -0.020039 Loss_G: 0.009469 Loss_D_real: -0.015518 Loss_D_fake 0.004521
[1440/5000][405/535][148630] Loss_D: -0.019699 Loss_G: 0.013675 Loss_D_real: -0.017702 Loss_D_fake 0.001997
[1440/5000][410/535][148631] Loss_D: -0.020200 Loss_G: 0.006577 Loss_D_real: -0.015097 Loss_D_fake 0.005103
[1440/5000][415/535][148632] Loss_D: -0.018620 Loss_G: 0.023779 Loss_D_real: -0.022243 Loss_D_fake -0.003623
[1440/5000][420/535][148633] Loss_D: -0.019156 Loss_G: 0.010487 Loss_D_real: -0.028892 Loss_D_fake -0.009735
[1440/5000][425/535][148634] Loss_D: -0.020910 Loss_G: 0.007524 Loss_D_real: -0.024755 Loss_D_fake -0.003845
[1440/5000][430/535][148635] Loss_D: -0.020983 Loss_G: 0.009982 Loss_D_real: -0.015047 Loss_D_fake 0.005937
[1440/5000][435/535][148636] Loss_D: -0.017882 Loss_G: 0.020314 Loss_D_real: -0.026193 Loss_D_fake -0.008311
[1440/5000][440/535][148637] Loss_D: -0.019574 Loss_G: 0.017996 Loss_D_real: -0.022644 Loss_D_fake -0.003069
[1440/5000][445/535][148638] Loss_D: -0.021611 Loss_G: -0.010311 Loss_D_real: -0.020033 Loss_D_fake 0.001578
[1440/5000][450/535][148639] Loss_D: -0.019744 Loss_G: -0.009939 Loss_D_real: -0.007735 Loss_D_fake 0.012009
[1440/5000][455/535][148640] Loss_D: -0.019063 Loss_G: 0.011274 Loss_D_real: -0.004880 Loss_D_fake 0.014183
[1440/5000][460/535][148641] Loss_D: -0.019732 Loss_G: -0.006185 Loss_D_real: 0.005138 Loss_D_fake 0.024870
[1440/5000][465/535][148642] Loss_D: -0.020614 Loss_G: -0.009572 Loss_D_real: -0.007810 Loss_D_fake 0.012804
[1440/5000][470/535][148643] Loss_D: -0.018936 Loss_G: -0.005862 Loss_D_real: -0.001989 Loss_D_fake 0.016947
[1440/5000][475/535][148644] Loss_D: -0.021075 Loss_G: 0.007201 Loss_D_real: -0.013238 Loss_D_fake 0.007837
[1440/5000][480/535][148645] Loss_D: -0.018224 Loss_G: -0.023279 Loss_D_real: -0.003180 Loss_D_fake 0.015043
[1440/5000][485/535][148646] Loss_D: -0.019866 Loss_G: 0.006588 Loss_D_real: -0.013946 Loss_D_fake 0.005920
[1440/5000][490/535][148647] Loss_D: -0.018792 Loss_G: 0.032139 Loss_D_real: -0.024166 Loss_D_fake -0.005374
[1440/5000][495/535][148648] Loss_D: -0.019398 Loss_G: 0.003952 Loss_D_real: -0.021686 Loss_D_fake -0.002288
[1440/5000][500/535][148649] Loss_D: -0.018931 Loss_G: 0.017171 Loss_D_real: -0.021810 Loss_D_fake -0.002879
[1440/5000][505/535][148650] Loss_D: -0.018880 Loss_G: 0.009222 Loss_D_real: -0.015217 Loss_D_fake 0.003663
[1440/5000][510/535][148651] Loss_D: -0.019076 Loss_G: -0.011556 Loss_D_real: 0.013254 Loss_D_fake 0.032330
[1440/5000][515/535][148652] Loss_D: -0.020028 Loss_G: 0.004301 Loss_D_real: -0.003493 Loss_D_fake 0.016535
[1440/5000][520/535][148653] Loss_D: -0.021071 Loss_G: 0.009099 Loss_D_real: -0.020859 Loss_D_fake 0.000212
[1440/5000][525/535][148654] Loss_D: -0.018441 Loss_G: -0.009680 Loss_D_real: 0.005960 Loss_D_fake 0.024402
[1440/5000][530/535][148655] Loss_D: -0.020386 Loss_G: -0.017530 Loss_D_real: -0.003317 Loss_D_fake 0.017069
[1440/5000][535/535][148656] Loss_D: -0.018302 Loss_G: 0.000423 Loss_D_real: -0.021205 Loss_D_fake -0.002903
[1441/5000][5/535][148657] Loss_D: -0.021457 Loss_G: 0.011384 Loss_D_real: -0.025237 Loss_D_fake -0.003779
[1441/5000][10/535][148658] Loss_D: -0.018817 Loss_G: -0.005862 Loss_D_real: -0.007383 Loss_D_fake 0.011434
[1441/5000][15/535][148659] Loss_D: -0.020995 Loss_G: 0.022445 Loss_D_real: -0.025593 Loss_D_fake -0.004598
[1441/5000][20/535][148660] Loss_D: -0.018902 Loss_G: 0.005103 Loss_D_real: -0.012133 Loss_D_fake 0.006769
[1441/5000][25/535][148661] Loss_D: -0.020477 Loss_G: 0.012765 Loss_D_real: -0.008830 Loss_D_fake 0.011647
[1441/5000][30/535][148662] Loss_D: -0.019109 Loss_G: 0.013221 Loss_D_real: -0.015996 Loss_D_fake 0.003113
[1441/5000][35/535][148663] Loss_D: -0.019425 Loss_G: 0.021324 Loss_D_real: -0.028660 Loss_D_fake -0.009234
[1441/5000][40/535][148664] Loss_D: -0.018543 Loss_G: 0.014371 Loss_D_real: -0.031914 Loss_D_fake -0.013372
[1441/5000][45/535][148665] Loss_D: -0.019951 Loss_G: 0.014028 Loss_D_real: -0.035178 Loss_D_fake -0.015228
[1441/5000][50/535][148666] Loss_D: -0.018990 Loss_G: -0.009221 Loss_D_real: -0.003206 Loss_D_fake 0.015784
[1441/5000][55/535][148667] Loss_D: -0.020743 Loss_G: 0.012812 Loss_D_real: -0.007698 Loss_D_fake 0.013045
[1441/5000][60/535][148668] Loss_D: -0.019971 Loss_G: 0.016459 Loss_D_real: -0.020034 Loss_D_fake -0.000063
[1441/5000][65/535][148669] Loss_D: -0.019616 Loss_G: 0.015890 Loss_D_real: -0.037653 Loss_D_fake -0.018037
[1441/5000][70/535][148670] Loss_D: -0.022086 Loss_G: 0.000272 Loss_D_real: -0.003602 Loss_D_fake 0.018484
[1441/5000][75/535][148671] Loss_D: -0.021454 Loss_G: 0.020206 Loss_D_real: -0.020535 Loss_D_fake 0.000919
[1441/5000][80/535][148672] Loss_D: -0.021526 Loss_G: -0.001723 Loss_D_real: -0.031007 Loss_D_fake -0.009480
[1441/5000][85/535][148673] Loss_D: -0.020304 Loss_G: 0.023337 Loss_D_real: -0.015820 Loss_D_fake 0.004484
[1441/5000][90/535][148674] Loss_D: -0.020886 Loss_G: -0.015697 Loss_D_real: -0.011013 Loss_D_fake 0.009873
[1441/5000][95/535][148675] Loss_D: -0.019638 Loss_G: -0.003457 Loss_D_real: -0.021287 Loss_D_fake -0.001649
[1441/5000][100/535][148676] Loss_D: -0.020388 Loss_G: 0.007456 Loss_D_real: -0.018256 Loss_D_fake 0.002131
[1441/5000][105/535][148677] Loss_D: -0.021658 Loss_G: 0.014556 Loss_D_real: -0.011458 Loss_D_fake 0.010200
[1441/5000][110/535][148678] Loss_D: -0.020339 Loss_G: 0.024501 Loss_D_real: -0.015541 Loss_D_fake 0.004799
[1441/5000][115/535][148679] Loss_D: -0.020219 Loss_G: 0.007855 Loss_D_real: -0.007064 Loss_D_fake 0.013155
[1441/5000][120/535][148680] Loss_D: -0.020725 Loss_G: 0.014768 Loss_D_real: -0.021789 Loss_D_fake -0.001064
[1441/5000][125/535][148681] Loss_D: -0.019515 Loss_G: -0.000613 Loss_D_real: -0.016772 Loss_D_fake 0.002743
[1441/5000][130/535][148682] Loss_D: -0.019465 Loss_G: 0.002854 Loss_D_real: -0.018441 Loss_D_fake 0.001023
[1441/5000][135/535][148683] Loss_D: -0.020330 Loss_G: 0.012152 Loss_D_real: -0.026583 Loss_D_fake -0.006253
[1441/5000][140/535][148684] Loss_D: -0.020182 Loss_G: 0.008584 Loss_D_real: -0.020445 Loss_D_fake -0.000264
[1441/5000][145/535][148685] Loss_D: -0.019447 Loss_G: -0.008170 Loss_D_real: -0.008399 Loss_D_fake 0.011048
[1441/5000][150/535][148686] Loss_D: -0.019764 Loss_G: -0.001134 Loss_D_real: -0.014813 Loss_D_fake 0.004952
[1441/5000][155/535][148687] Loss_D: -0.019652 Loss_G: 0.028109 Loss_D_real: -0.029074 Loss_D_fake -0.009422
[1441/5000][160/535][148688] Loss_D: -0.019326 Loss_G: -0.003038 Loss_D_real: -0.000455 Loss_D_fake 0.018871
[1441/5000][165/535][148689] Loss_D: -0.019069 Loss_G: 0.020749 Loss_D_real: -0.034308 Loss_D_fake -0.015239
[1441/5000][170/535][148690] Loss_D: -0.020302 Loss_G: 0.015059 Loss_D_real: -0.010430 Loss_D_fake 0.009872
[1441/5000][175/535][148691] Loss_D: -0.019941 Loss_G: 0.005496 Loss_D_real: -0.031545 Loss_D_fake -0.011603
[1441/5000][180/535][148692] Loss_D: -0.021332 Loss_G: 0.016258 Loss_D_real: -0.013552 Loss_D_fake 0.007780
[1441/5000][185/535][148693] Loss_D: -0.019672 Loss_G: -0.000680 Loss_D_real: -0.015522 Loss_D_fake 0.004151
[1441/5000][190/535][148694] Loss_D: -0.020115 Loss_G: 0.017990 Loss_D_real: -0.024021 Loss_D_fake -0.003905
[1441/5000][195/535][148695] Loss_D: -0.019470 Loss_G: 0.020692 Loss_D_real: -0.027860 Loss_D_fake -0.008390
[1441/5000][200/535][148696] Loss_D: -0.022389 Loss_G: 0.012291 Loss_D_real: -0.020017 Loss_D_fake 0.002371
[1441/5000][205/535][148697] Loss_D: -0.019322 Loss_G: -0.006868 Loss_D_real: -0.011624 Loss_D_fake 0.007698
[1441/5000][210/535][148698] Loss_D: -0.018891 Loss_G: -0.013304 Loss_D_real: -0.018310 Loss_D_fake 0.000582
[1441/5000][215/535][148699] Loss_D: -0.019173 Loss_G: 0.030086 Loss_D_real: -0.026488 Loss_D_fake -0.007314
[1441/5000][220/535][148700] Loss_D: -0.018576 Loss_G: -0.002452 Loss_D_real: -0.009366 Loss_D_fake 0.009210
[1441/5000][225/535][148701] Loss_D: -0.019943 Loss_G: 0.008933 Loss_D_real: -0.021733 Loss_D_fake -0.001790
[1441/5000][230/535][148702] Loss_D: -0.018985 Loss_G: 0.008664 Loss_D_real: -0.026012 Loss_D_fake -0.007028
[1441/5000][235/535][148703] Loss_D: -0.019896 Loss_G: 0.018117 Loss_D_real: -0.028935 Loss_D_fake -0.009039
[1441/5000][240/535][148704] Loss_D: -0.019325 Loss_G: -0.008811 Loss_D_real: -0.005218 Loss_D_fake 0.014107
[1441/5000][245/535][148705] Loss_D: -0.019333 Loss_G: -0.006016 Loss_D_real: -0.013488 Loss_D_fake 0.005845
[1441/5000][250/535][148706] Loss_D: -0.018649 Loss_G: 0.026660 Loss_D_real: -0.029208 Loss_D_fake -0.010559
[1441/5000][255/535][148707] Loss_D: -0.017939 Loss_G: 0.020427 Loss_D_real: -0.034920 Loss_D_fake -0.016981
[1441/5000][260/535][148708] Loss_D: -0.020673 Loss_G: 0.009418 Loss_D_real: -0.013452 Loss_D_fake 0.007221
[1441/5000][265/535][148709] Loss_D: -0.019436 Loss_G: 0.015269 Loss_D_real: -0.024349 Loss_D_fake -0.004913
[1441/5000][270/535][148710] Loss_D: -0.020828 Loss_G: -0.003825 Loss_D_real: -0.001086 Loss_D_fake 0.019742
[1441/5000][275/535][148711] Loss_D: -0.018059 Loss_G: 0.025891 Loss_D_real: -0.023845 Loss_D_fake -0.005787
[1441/5000][280/535][148712] Loss_D: -0.019651 Loss_G: -0.002185 Loss_D_real: -0.021856 Loss_D_fake -0.002205
[1441/5000][285/535][148713] Loss_D: -0.019897 Loss_G: -0.012137 Loss_D_real: -0.008641 Loss_D_fake 0.011257
[1441/5000][290/535][148714] Loss_D: -0.019314 Loss_G: 0.014455 Loss_D_real: -0.021930 Loss_D_fake -0.002616
[1441/5000][295/535][148715] Loss_D: -0.020628 Loss_G: -0.011292 Loss_D_real: -0.014139 Loss_D_fake 0.006489
[1441/5000][300/535][148716] Loss_D: -0.019136 Loss_G: 0.020555 Loss_D_real: -0.032882 Loss_D_fake -0.013746
[1441/5000][305/535][148717] Loss_D: -0.019499 Loss_G: 0.008982 Loss_D_real: -0.015281 Loss_D_fake 0.004218
[1441/5000][310/535][148718] Loss_D: -0.019321 Loss_G: -0.006676 Loss_D_real: -0.013867 Loss_D_fake 0.005454
[1441/5000][315/535][148719] Loss_D: -0.019826 Loss_G: 0.007825 Loss_D_real: -0.014870 Loss_D_fake 0.004956
[1441/5000][320/535][148720] Loss_D: -0.018679 Loss_G: -0.018855 Loss_D_real: -0.000018 Loss_D_fake 0.018661
[1441/5000][325/535][148721] Loss_D: -0.019416 Loss_G: -0.002069 Loss_D_real: -0.004371 Loss_D_fake 0.015045
[1441/5000][330/535][148722] Loss_D: -0.020556 Loss_G: 0.006734 Loss_D_real: -0.002765 Loss_D_fake 0.017791
[1441/5000][335/535][148723] Loss_D: -0.017671 Loss_G: -0.007773 Loss_D_real: -0.008540 Loss_D_fake 0.009130
[1441/5000][340/535][148724] Loss_D: -0.019848 Loss_G: 0.024748 Loss_D_real: -0.028641 Loss_D_fake -0.008793
[1441/5000][345/535][148725] Loss_D: -0.020818 Loss_G: 0.005028 Loss_D_real: -0.008771 Loss_D_fake 0.012048
[1441/5000][350/535][148726] Loss_D: -0.020768 Loss_G: 0.004646 Loss_D_real: -0.022882 Loss_D_fake -0.002114
[1441/5000][355/535][148727] Loss_D: -0.020469 Loss_G: 0.008287 Loss_D_real: -0.001428 Loss_D_fake 0.019041
[1441/5000][360/535][148728] Loss_D: -0.019349 Loss_G: 0.005076 Loss_D_real: -0.021027 Loss_D_fake -0.001679
[1441/5000][365/535][148729] Loss_D: -0.021000 Loss_G: 0.013395 Loss_D_real: -0.025575 Loss_D_fake -0.004575
[1441/5000][370/535][148730] Loss_D: -0.020223 Loss_G: -0.019391 Loss_D_real: 0.001576 Loss_D_fake 0.021799
[1441/5000][375/535][148731] Loss_D: -0.019174 Loss_G: 0.019383 Loss_D_real: -0.023959 Loss_D_fake -0.004786
[1441/5000][380/535][148732] Loss_D: -0.021454 Loss_G: 0.003396 Loss_D_real: -0.009575 Loss_D_fake 0.011879
[1441/5000][385/535][148733] Loss_D: -0.022101 Loss_G: -0.009975 Loss_D_real: -0.019278 Loss_D_fake 0.002823
[1441/5000][390/535][148734] Loss_D: -0.019833 Loss_G: 0.000315 Loss_D_real: -0.006600 Loss_D_fake 0.013233
[1441/5000][395/535][148735] Loss_D: -0.018911 Loss_G: 0.021283 Loss_D_real: -0.023843 Loss_D_fake -0.004932
[1441/5000][400/535][148736] Loss_D: -0.020605 Loss_G: 0.025705 Loss_D_real: -0.014925 Loss_D_fake 0.005680
[1441/5000][405/535][148737] Loss_D: -0.020225 Loss_G: 0.005206 Loss_D_real: -0.015385 Loss_D_fake 0.004840
[1441/5000][410/535][148738] Loss_D: -0.020258 Loss_G: -0.002531 Loss_D_real: -0.009091 Loss_D_fake 0.011167
[1441/5000][415/535][148739] Loss_D: -0.019743 Loss_G: -0.001065 Loss_D_real: -0.005866 Loss_D_fake 0.013877
[1441/5000][420/535][148740] Loss_D: -0.022510 Loss_G: -0.007474 Loss_D_real: -0.019819 Loss_D_fake 0.002690
[1441/5000][425/535][148741] Loss_D: -0.021086 Loss_G: 0.011801 Loss_D_real: -0.010508 Loss_D_fake 0.010578
[1441/5000][430/535][148742] Loss_D: -0.019627 Loss_G: 0.029146 Loss_D_real: -0.030480 Loss_D_fake -0.010852
[1441/5000][435/535][148743] Loss_D: -0.019227 Loss_G: 0.007330 Loss_D_real: -0.014115 Loss_D_fake 0.005112
[1441/5000][440/535][148744] Loss_D: -0.020665 Loss_G: -0.013332 Loss_D_real: -0.006504 Loss_D_fake 0.014161
[1441/5000][445/535][148745] Loss_D: -0.019259 Loss_G: 0.009257 Loss_D_real: -0.026265 Loss_D_fake -0.007006
[1441/5000][450/535][148746] Loss_D: -0.020255 Loss_G: 0.011769 Loss_D_real: -0.015458 Loss_D_fake 0.004797
[1441/5000][455/535][148747] Loss_D: -0.019653 Loss_G: 0.027983 Loss_D_real: -0.036810 Loss_D_fake -0.017156
[1441/5000][460/535][148748] Loss_D: -0.019692 Loss_G: 0.006523 Loss_D_real: -0.020354 Loss_D_fake -0.000662
[1441/5000][465/535][148749] Loss_D: -0.019654 Loss_G: -0.013625 Loss_D_real: -0.009473 Loss_D_fake 0.010181
[1441/5000][470/535][148750] Loss_D: -0.019078 Loss_G: 0.031128 Loss_D_real: -0.030436 Loss_D_fake -0.011358
[1441/5000][475/535][148751] Loss_D: -0.019721 Loss_G: -0.005103 Loss_D_real: -0.014849 Loss_D_fake 0.004872
[1441/5000][480/535][148752] Loss_D: -0.020075 Loss_G: 0.009787 Loss_D_real: -0.016501 Loss_D_fake 0.003574
[1441/5000][485/535][148753] Loss_D: -0.018692 Loss_G: 0.013733 Loss_D_real: -0.013024 Loss_D_fake 0.005668
[1441/5000][490/535][148754] Loss_D: -0.019154 Loss_G: 0.010579 Loss_D_real: -0.016318 Loss_D_fake 0.002836
[1441/5000][495/535][148755] Loss_D: -0.020797 Loss_G: -0.012756 Loss_D_real: -0.000471 Loss_D_fake 0.020326
[1441/5000][500/535][148756] Loss_D: -0.021310 Loss_G: 0.013918 Loss_D_real: -0.018086 Loss_D_fake 0.003224
[1441/5000][505/535][148757] Loss_D: -0.020957 Loss_G: 0.014910 Loss_D_real: -0.009939 Loss_D_fake 0.011018
[1441/5000][510/535][148758] Loss_D: -0.020665 Loss_G: 0.001526 Loss_D_real: -0.031329 Loss_D_fake -0.010664
[1441/5000][515/535][148759] Loss_D: -0.020242 Loss_G: 0.016194 Loss_D_real: -0.009703 Loss_D_fake 0.010539
[1441/5000][520/535][148760] Loss_D: -0.020216 Loss_G: 0.013142 Loss_D_real: -0.034112 Loss_D_fake -0.013896
[1441/5000][525/535][148761] Loss_D: -0.019462 Loss_G: -0.002436 Loss_D_real: -0.005083 Loss_D_fake 0.014379
[1441/5000][530/535][148762] Loss_D: -0.020297 Loss_G: -0.000442 Loss_D_real: -0.001740 Loss_D_fake 0.018557
[1441/5000][535/535][148763] Loss_D: -0.018534 Loss_G: 0.039128 Loss_D_real: -0.020193 Loss_D_fake -0.001659
[1442/5000][5/535][148764] Loss_D: -0.020255 Loss_G: 0.008008 Loss_D_real: -0.014956 Loss_D_fake 0.005299
[1442/5000][10/535][148765] Loss_D: -0.019418 Loss_G: -0.000684 Loss_D_real: -0.023801 Loss_D_fake -0.004383
[1442/5000][15/535][148766] Loss_D: -0.020078 Loss_G: 0.005347 Loss_D_real: -0.016210 Loss_D_fake 0.003869
[1442/5000][20/535][148767] Loss_D: -0.017949 Loss_G: 0.015003 Loss_D_real: -0.018609 Loss_D_fake -0.000659
[1442/5000][25/535][148768] Loss_D: -0.019874 Loss_G: -0.014667 Loss_D_real: -0.010331 Loss_D_fake 0.009544
[1442/5000][30/535][148769] Loss_D: -0.020174 Loss_G: -0.004305 Loss_D_real: -0.008345 Loss_D_fake 0.011829
[1442/5000][35/535][148770] Loss_D: -0.019573 Loss_G: 0.015392 Loss_D_real: -0.026488 Loss_D_fake -0.006916
[1442/5000][40/535][148771] Loss_D: -0.020615 Loss_G: -0.005373 Loss_D_real: -0.006613 Loss_D_fake 0.014002
[1442/5000][45/535][148772] Loss_D: -0.021758 Loss_G: 0.002565 Loss_D_real: -0.011459 Loss_D_fake 0.010299
[1442/5000][50/535][148773] Loss_D: -0.020086 Loss_G: -0.008734 Loss_D_real: -0.012677 Loss_D_fake 0.007410
[1442/5000][55/535][148774] Loss_D: -0.020052 Loss_G: 0.014161 Loss_D_real: -0.021013 Loss_D_fake -0.000961
[1442/5000][60/535][148775] Loss_D: -0.021229 Loss_G: 0.016844 Loss_D_real: -0.020773 Loss_D_fake 0.000456
[1442/5000][65/535][148776] Loss_D: -0.020535 Loss_G: 0.009119 Loss_D_real: -0.020256 Loss_D_fake 0.000279
[1442/5000][70/535][148777] Loss_D: -0.020816 Loss_G: 0.014195 Loss_D_real: -0.016398 Loss_D_fake 0.004418
[1442/5000][75/535][148778] Loss_D: -0.020446 Loss_G: -0.008504 Loss_D_real: -0.014374 Loss_D_fake 0.006072
[1442/5000][80/535][148779] Loss_D: -0.019313 Loss_G: -0.004725 Loss_D_real: -0.010428 Loss_D_fake 0.008885
[1442/5000][85/535][148780] Loss_D: -0.020459 Loss_G: 0.011937 Loss_D_real: -0.024680 Loss_D_fake -0.004222
[1442/5000][90/535][148781] Loss_D: -0.019897 Loss_G: 0.009010 Loss_D_real: -0.019020 Loss_D_fake 0.000877
[1442/5000][95/535][148782] Loss_D: -0.021704 Loss_G: 0.009520 Loss_D_real: -0.016793 Loss_D_fake 0.004911
[1442/5000][100/535][148783] Loss_D: -0.019587 Loss_G: 0.029620 Loss_D_real: -0.021479 Loss_D_fake -0.001892
[1442/5000][105/535][148784] Loss_D: -0.018578 Loss_G: 0.014654 Loss_D_real: -0.030617 Loss_D_fake -0.012039
[1442/5000][110/535][148785] Loss_D: -0.021382 Loss_G: 0.003126 Loss_D_real: -0.022893 Loss_D_fake -0.001511
[1442/5000][115/535][148786] Loss_D: -0.021222 Loss_G: 0.013296 Loss_D_real: -0.027939 Loss_D_fake -0.006718
[1442/5000][120/535][148787] Loss_D: -0.020913 Loss_G: 0.000397 Loss_D_real: -0.008155 Loss_D_fake 0.012758
[1442/5000][125/535][148788] Loss_D: -0.020717 Loss_G: -0.000365 Loss_D_real: -0.018935 Loss_D_fake 0.001782
[1442/5000][130/535][148789] Loss_D: -0.020438 Loss_G: -0.004567 Loss_D_real: -0.005317 Loss_D_fake 0.015121
[1442/5000][135/535][148790] Loss_D: -0.020355 Loss_G: 0.007296 Loss_D_real: -0.013136 Loss_D_fake 0.007219
[1442/5000][140/535][148791] Loss_D: -0.019300 Loss_G: 0.001503 Loss_D_real: -0.027023 Loss_D_fake -0.007723
[1442/5000][145/535][148792] Loss_D: -0.020034 Loss_G: 0.000249 Loss_D_real: -0.005461 Loss_D_fake 0.014573
[1442/5000][150/535][148793] Loss_D: -0.020414 Loss_G: -0.002141 Loss_D_real: 0.000230 Loss_D_fake 0.020644
[1442/5000][155/535][148794] Loss_D: -0.020840 Loss_G: 0.011836 Loss_D_real: -0.008917 Loss_D_fake 0.011924
[1442/5000][160/535][148795] Loss_D: -0.020522 Loss_G: 0.017489 Loss_D_real: -0.020841 Loss_D_fake -0.000319
[1442/5000][165/535][148796] Loss_D: -0.019996 Loss_G: 0.002759 Loss_D_real: -0.010647 Loss_D_fake 0.009350
[1442/5000][170/535][148797] Loss_D: -0.020681 Loss_G: 0.014883 Loss_D_real: -0.010607 Loss_D_fake 0.010074
[1442/5000][175/535][148798] Loss_D: -0.021125 Loss_G: 0.008781 Loss_D_real: -0.013336 Loss_D_fake 0.007789
[1442/5000][180/535][148799] Loss_D: -0.019758 Loss_G: 0.001229 Loss_D_real: -0.004539 Loss_D_fake 0.015219
[1442/5000][185/535][148800] Loss_D: -0.019437 Loss_G: -0.011868 Loss_D_real: -0.005250 Loss_D_fake 0.014188
[1442/5000][190/535][148801] Loss_D: -0.020573 Loss_G: 0.028237 Loss_D_real: -0.015709 Loss_D_fake 0.004863
[1442/5000][195/535][148802] Loss_D: -0.019218 Loss_G: 0.016189 Loss_D_real: -0.027640 Loss_D_fake -0.008422
[1442/5000][200/535][148803] Loss_D: -0.020240 Loss_G: 0.000891 Loss_D_real: -0.022430 Loss_D_fake -0.002190
[1442/5000][205/535][148804] Loss_D: -0.021913 Loss_G: 0.026210 Loss_D_real: -0.029955 Loss_D_fake -0.008042
[1442/5000][210/535][148805] Loss_D: -0.020676 Loss_G: 0.013922 Loss_D_real: -0.017148 Loss_D_fake 0.003528
[1442/5000][215/535][148806] Loss_D: -0.021069 Loss_G: 0.006772 Loss_D_real: -0.036681 Loss_D_fake -0.015613
[1442/5000][220/535][148807] Loss_D: -0.018150 Loss_G: 0.013961 Loss_D_real: -0.008309 Loss_D_fake 0.009841
[1442/5000][225/535][148808] Loss_D: -0.019686 Loss_G: 0.001800 Loss_D_real: -0.011436 Loss_D_fake 0.008249
[1442/5000][230/535][148809] Loss_D: -0.020494 Loss_G: 0.010452 Loss_D_real: -0.039228 Loss_D_fake -0.018734
[1442/5000][235/535][148810] Loss_D: -0.018677 Loss_G: -0.009076 Loss_D_real: 0.001456 Loss_D_fake 0.020134
[1442/5000][240/535][148811] Loss_D: -0.020468 Loss_G: 0.025263 Loss_D_real: -0.021028 Loss_D_fake -0.000560
[1442/5000][245/535][148812] Loss_D: -0.019096 Loss_G: -0.017161 Loss_D_real: -0.005629 Loss_D_fake 0.013466
[1442/5000][250/535][148813] Loss_D: -0.018166 Loss_G: 0.009758 Loss_D_real: -0.013067 Loss_D_fake 0.005099
[1442/5000][255/535][148814] Loss_D: -0.019331 Loss_G: 0.013164 Loss_D_real: -0.016836 Loss_D_fake 0.002495
[1442/5000][260/535][148815] Loss_D: -0.019865 Loss_G: 0.011126 Loss_D_real: -0.001938 Loss_D_fake 0.017928
[1442/5000][265/535][148816] Loss_D: -0.018669 Loss_G: 0.012101 Loss_D_real: -0.017608 Loss_D_fake 0.001062
[1442/5000][270/535][148817] Loss_D: -0.019787 Loss_G: 0.005813 Loss_D_real: -0.014665 Loss_D_fake 0.005122
[1442/5000][275/535][148818] Loss_D: -0.019679 Loss_G: 0.013781 Loss_D_real: -0.041165 Loss_D_fake -0.021485
[1442/5000][280/535][148819] Loss_D: -0.019352 Loss_G: 0.025415 Loss_D_real: -0.021194 Loss_D_fake -0.001842
[1442/5000][285/535][148820] Loss_D: -0.021241 Loss_G: -0.009259 Loss_D_real: -0.018952 Loss_D_fake 0.002289
[1442/5000][290/535][148821] Loss_D: -0.020004 Loss_G: 0.006286 Loss_D_real: -0.017396 Loss_D_fake 0.002608
[1442/5000][295/535][148822] Loss_D: -0.021023 Loss_G: 0.020554 Loss_D_real: -0.014853 Loss_D_fake 0.006170
[1442/5000][300/535][148823] Loss_D: -0.020289 Loss_G: 0.013479 Loss_D_real: -0.017319 Loss_D_fake 0.002970
[1442/5000][305/535][148824] Loss_D: -0.020752 Loss_G: -0.020274 Loss_D_real: -0.009161 Loss_D_fake 0.011591
[1442/5000][310/535][148825] Loss_D: -0.018496 Loss_G: 0.004493 Loss_D_real: -0.022574 Loss_D_fake -0.004078
[1442/5000][315/535][148826] Loss_D: -0.019952 Loss_G: 0.022110 Loss_D_real: -0.012274 Loss_D_fake 0.007678
[1442/5000][320/535][148827] Loss_D: -0.019862 Loss_G: -0.019545 Loss_D_real: -0.002945 Loss_D_fake 0.016917
[1442/5000][325/535][148828] Loss_D: -0.019090 Loss_G: 0.004051 Loss_D_real: -0.010214 Loss_D_fake 0.008877
[1442/5000][330/535][148829] Loss_D: -0.019876 Loss_G: 0.021622 Loss_D_real: -0.029261 Loss_D_fake -0.009385
[1442/5000][335/535][148830] Loss_D: -0.019999 Loss_G: -0.013793 Loss_D_real: -0.011427 Loss_D_fake 0.008572
[1442/5000][340/535][148831] Loss_D: -0.020287 Loss_G: 0.010034 Loss_D_real: -0.012995 Loss_D_fake 0.007292
[1442/5000][345/535][148832] Loss_D: -0.018366 Loss_G: 0.000270 Loss_D_real: -0.012607 Loss_D_fake 0.005759
[1442/5000][350/535][148833] Loss_D: -0.019652 Loss_G: -0.001480 Loss_D_real: -0.010043 Loss_D_fake 0.009609
[1442/5000][355/535][148834] Loss_D: -0.020017 Loss_G: -0.012943 Loss_D_real: -0.011928 Loss_D_fake 0.008090
[1442/5000][360/535][148835] Loss_D: -0.019863 Loss_G: 0.024060 Loss_D_real: -0.013177 Loss_D_fake 0.006686
[1442/5000][365/535][148836] Loss_D: -0.019963 Loss_G: -0.011043 Loss_D_real: -0.007682 Loss_D_fake 0.012282
[1442/5000][370/535][148837] Loss_D: -0.019489 Loss_G: 0.031294 Loss_D_real: -0.031030 Loss_D_fake -0.011541
[1442/5000][375/535][148838] Loss_D: -0.019281 Loss_G: -0.005967 Loss_D_real: -0.014484 Loss_D_fake 0.004798
[1442/5000][380/535][148839] Loss_D: -0.019512 Loss_G: -0.011351 Loss_D_real: -0.020418 Loss_D_fake -0.000906
[1442/5000][385/535][148840] Loss_D: -0.019438 Loss_G: 0.006621 Loss_D_real: -0.029132 Loss_D_fake -0.009694
[1442/5000][390/535][148841] Loss_D: -0.019304 Loss_G: 0.022867 Loss_D_real: -0.022038 Loss_D_fake -0.002735
[1442/5000][395/535][148842] Loss_D: -0.019430 Loss_G: 0.002230 Loss_D_real: -0.028325 Loss_D_fake -0.008895
[1442/5000][400/535][148843] Loss_D: -0.020331 Loss_G: 0.013070 Loss_D_real: -0.026251 Loss_D_fake -0.005919
[1442/5000][405/535][148844] Loss_D: -0.019893 Loss_G: 0.015377 Loss_D_real: -0.020298 Loss_D_fake -0.000405
[1442/5000][410/535][148845] Loss_D: -0.020209 Loss_G: 0.024030 Loss_D_real: -0.023053 Loss_D_fake -0.002844
[1442/5000][415/535][148846] Loss_D: -0.019944 Loss_G: 0.007003 Loss_D_real: -0.018244 Loss_D_fake 0.001700
[1442/5000][420/535][148847] Loss_D: -0.019972 Loss_G: -0.018644 Loss_D_real: -0.000163 Loss_D_fake 0.019808
[1442/5000][425/535][148848] Loss_D: -0.020590 Loss_G: -0.001528 Loss_D_real: -0.013897 Loss_D_fake 0.006693
[1442/5000][430/535][148849] Loss_D: -0.019414 Loss_G: 0.017565 Loss_D_real: -0.017365 Loss_D_fake 0.002049
[1442/5000][435/535][148850] Loss_D: -0.021193 Loss_G: -0.000268 Loss_D_real: -0.023221 Loss_D_fake -0.002028
[1442/5000][440/535][148851] Loss_D: -0.020008 Loss_G: 0.022775 Loss_D_real: -0.021704 Loss_D_fake -0.001696
[1442/5000][445/535][148852] Loss_D: -0.019884 Loss_G: 0.000978 Loss_D_real: -0.009576 Loss_D_fake 0.010308
[1442/5000][450/535][148853] Loss_D: -0.018922 Loss_G: 0.016705 Loss_D_real: -0.029914 Loss_D_fake -0.010992
[1442/5000][455/535][148854] Loss_D: -0.020442 Loss_G: -0.007077 Loss_D_real: 0.000102 Loss_D_fake 0.020544
[1442/5000][460/535][148855] Loss_D: -0.020400 Loss_G: -0.004303 Loss_D_real: -0.019424 Loss_D_fake 0.000976
[1442/5000][465/535][148856] Loss_D: -0.020938 Loss_G: 0.015304 Loss_D_real: -0.021152 Loss_D_fake -0.000214
[1442/5000][470/535][148857] Loss_D: -0.018987 Loss_G: -0.013984 Loss_D_real: 0.002705 Loss_D_fake 0.021692
[1442/5000][475/535][148858] Loss_D: -0.020980 Loss_G: 0.017812 Loss_D_real: -0.025549 Loss_D_fake -0.004569
[1442/5000][480/535][148859] Loss_D: -0.021249 Loss_G: 0.000052 Loss_D_real: -0.014022 Loss_D_fake 0.007227
[1442/5000][485/535][148860] Loss_D: -0.021836 Loss_G: 0.010686 Loss_D_real: -0.022131 Loss_D_fake -0.000295
[1442/5000][490/535][148861] Loss_D: -0.020315 Loss_G: -0.008279 Loss_D_real: -0.009505 Loss_D_fake 0.010810
[1442/5000][495/535][148862] Loss_D: -0.020511 Loss_G: 0.013727 Loss_D_real: -0.014767 Loss_D_fake 0.005744
[1442/5000][500/535][148863] Loss_D: -0.020686 Loss_G: -0.000131 Loss_D_real: -0.012037 Loss_D_fake 0.008650
[1442/5000][505/535][148864] Loss_D: -0.019324 Loss_G: -0.012701 Loss_D_real: -0.012099 Loss_D_fake 0.007225
[1442/5000][510/535][148865] Loss_D: -0.019687 Loss_G: -0.003716 Loss_D_real: -0.013869 Loss_D_fake 0.005817
[1442/5000][515/535][148866] Loss_D: -0.020751 Loss_G: -0.001465 Loss_D_real: -0.007984 Loss_D_fake 0.012767
[1442/5000][520/535][148867] Loss_D: -0.020154 Loss_G: 0.014742 Loss_D_real: -0.004992 Loss_D_fake 0.015162
[1442/5000][525/535][148868] Loss_D: -0.018291 Loss_G: 0.000907 Loss_D_real: -0.002573 Loss_D_fake 0.015717
[1442/5000][530/535][148869] Loss_D: -0.019655 Loss_G: 0.018106 Loss_D_real: -0.033836 Loss_D_fake -0.014181
[1442/5000][535/535][148870] Loss_D: -0.020424 Loss_G: 0.038882 Loss_D_real: -0.036030 Loss_D_fake -0.015607
[1443/5000][5/535][148871] Loss_D: -0.019129 Loss_G: -0.004247 Loss_D_real: -0.010108 Loss_D_fake 0.009022
[1443/5000][10/535][148872] Loss_D: -0.019876 Loss_G: -0.004734 Loss_D_real: -0.026914 Loss_D_fake -0.007038
[1443/5000][15/535][148873] Loss_D: -0.020067 Loss_G: 0.004124 Loss_D_real: -0.012789 Loss_D_fake 0.007278
[1443/5000][20/535][148874] Loss_D: -0.020181 Loss_G: 0.009645 Loss_D_real: -0.022294 Loss_D_fake -0.002113
[1443/5000][25/535][148875] Loss_D: -0.020388 Loss_G: 0.007763 Loss_D_real: -0.027849 Loss_D_fake -0.007461
[1443/5000][30/535][148876] Loss_D: -0.019980 Loss_G: -0.006476 Loss_D_real: -0.008091 Loss_D_fake 0.011888
[1443/5000][35/535][148877] Loss_D: -0.019027 Loss_G: 0.021631 Loss_D_real: -0.026631 Loss_D_fake -0.007604
[1443/5000][40/535][148878] Loss_D: -0.019326 Loss_G: 0.004992 Loss_D_real: -0.006851 Loss_D_fake 0.012475
[1443/5000][45/535][148879] Loss_D: -0.018106 Loss_G: -0.008289 Loss_D_real: 0.000169 Loss_D_fake 0.018275
[1443/5000][50/535][148880] Loss_D: -0.018164 Loss_G: 0.020901 Loss_D_real: -0.021031 Loss_D_fake -0.002867
[1443/5000][55/535][148881] Loss_D: -0.019722 Loss_G: 0.016713 Loss_D_real: -0.023882 Loss_D_fake -0.004160
[1443/5000][60/535][148882] Loss_D: -0.019533 Loss_G: -0.004460 Loss_D_real: -0.005859 Loss_D_fake 0.013675
[1443/5000][65/535][148883] Loss_D: -0.019179 Loss_G: -0.001568 Loss_D_real: -0.023248 Loss_D_fake -0.004069
[1443/5000][70/535][148884] Loss_D: -0.019459 Loss_G: 0.017063 Loss_D_real: -0.018328 Loss_D_fake 0.001131
[1443/5000][75/535][148885] Loss_D: -0.018404 Loss_G: 0.022138 Loss_D_real: -0.030041 Loss_D_fake -0.011637
[1443/5000][80/535][148886] Loss_D: -0.019075 Loss_G: 0.013246 Loss_D_real: -0.023978 Loss_D_fake -0.004903
[1443/5000][85/535][148887] Loss_D: -0.019357 Loss_G: -0.016703 Loss_D_real: 0.004354 Loss_D_fake 0.023711
[1443/5000][90/535][148888] Loss_D: -0.018838 Loss_G: 0.020341 Loss_D_real: -0.025029 Loss_D_fake -0.006191
[1443/5000][95/535][148889] Loss_D: -0.020038 Loss_G: 0.000731 Loss_D_real: -0.007082 Loss_D_fake 0.012956
[1443/5000][100/535][148890] Loss_D: -0.020508 Loss_G: 0.010913 Loss_D_real: -0.027224 Loss_D_fake -0.006716
[1443/5000][105/535][148891] Loss_D: -0.020451 Loss_G: 0.005915 Loss_D_real: -0.023592 Loss_D_fake -0.003141
[1443/5000][110/535][148892] Loss_D: -0.017992 Loss_G: 0.016454 Loss_D_real: -0.032839 Loss_D_fake -0.014847
[1443/5000][115/535][148893] Loss_D: -0.019606 Loss_G: 0.006896 Loss_D_real: -0.005151 Loss_D_fake 0.014454
[1443/5000][120/535][148894] Loss_D: -0.019964 Loss_G: 0.014815 Loss_D_real: -0.023895 Loss_D_fake -0.003930
[1443/5000][125/535][148895] Loss_D: -0.020847 Loss_G: -0.012624 Loss_D_real: -0.013286 Loss_D_fake 0.007561
[1443/5000][130/535][148896] Loss_D: -0.022505 Loss_G: 0.005968 Loss_D_real: 0.000799 Loss_D_fake 0.023304
[1443/5000][135/535][148897] Loss_D: -0.021337 Loss_G: 0.008442 Loss_D_real: -0.018646 Loss_D_fake 0.002691
[1443/5000][140/535][148898] Loss_D: -0.021096 Loss_G: 0.003918 Loss_D_real: -0.022622 Loss_D_fake -0.001525
[1443/5000][145/535][148899] Loss_D: -0.021363 Loss_G: 0.009516 Loss_D_real: -0.014192 Loss_D_fake 0.007172
[1443/5000][150/535][148900] Loss_D: -0.020903 Loss_G: 0.010591 Loss_D_real: -0.017550 Loss_D_fake 0.003353
[1443/5000][155/535][148901] Loss_D: -0.020899 Loss_G: 0.019544 Loss_D_real: -0.030979 Loss_D_fake -0.010080
[1443/5000][160/535][148902] Loss_D: -0.020336 Loss_G: -0.005608 Loss_D_real: -0.003386 Loss_D_fake 0.016949
[1443/5000][165/535][148903] Loss_D: -0.020143 Loss_G: -0.013198 Loss_D_real: -0.006329 Loss_D_fake 0.013814
[1443/5000][170/535][148904] Loss_D: -0.020657 Loss_G: 0.006833 Loss_D_real: -0.010545 Loss_D_fake 0.010112
[1443/5000][175/535][148905] Loss_D: -0.021244 Loss_G: 0.027955 Loss_D_real: -0.022368 Loss_D_fake -0.001124
[1443/5000][180/535][148906] Loss_D: -0.021149 Loss_G: 0.009984 Loss_D_real: -0.019641 Loss_D_fake 0.001509
[1443/5000][185/535][148907] Loss_D: -0.019818 Loss_G: 0.019419 Loss_D_real: -0.028829 Loss_D_fake -0.009011
[1443/5000][190/535][148908] Loss_D: -0.020862 Loss_G: 0.011015 Loss_D_real: -0.020414 Loss_D_fake 0.000448
[1443/5000][195/535][148909] Loss_D: -0.020944 Loss_G: 0.014067 Loss_D_real: -0.005735 Loss_D_fake 0.015209
[1443/5000][200/535][148910] Loss_D: -0.018958 Loss_G: -0.015283 Loss_D_real: -0.009722 Loss_D_fake 0.009237
[1443/5000][205/535][148911] Loss_D: -0.019297 Loss_G: 0.014000 Loss_D_real: -0.031947 Loss_D_fake -0.012650
[1443/5000][210/535][148912] Loss_D: -0.020557 Loss_G: 0.009252 Loss_D_real: -0.019449 Loss_D_fake 0.001108
[1443/5000][215/535][148913] Loss_D: -0.020313 Loss_G: -0.007864 Loss_D_real: -0.000911 Loss_D_fake 0.019402
[1443/5000][220/535][148914] Loss_D: -0.019580 Loss_G: 0.014658 Loss_D_real: -0.026598 Loss_D_fake -0.007018
[1443/5000][225/535][148915] Loss_D: -0.020022 Loss_G: 0.004741 Loss_D_real: -0.026658 Loss_D_fake -0.006636
[1443/5000][230/535][148916] Loss_D: -0.021214 Loss_G: 0.007594 Loss_D_real: -0.024116 Loss_D_fake -0.002902
[1443/5000][235/535][148917] Loss_D: -0.021215 Loss_G: 0.000559 Loss_D_real: -0.010925 Loss_D_fake 0.010290
[1443/5000][240/535][148918] Loss_D: -0.019923 Loss_G: 0.006799 Loss_D_real: -0.025305 Loss_D_fake -0.005382
[1443/5000][245/535][148919] Loss_D: -0.020947 Loss_G: 0.017461 Loss_D_real: -0.022156 Loss_D_fake -0.001209
[1443/5000][250/535][148920] Loss_D: -0.021631 Loss_G: -0.010185 Loss_D_real: -0.007925 Loss_D_fake 0.013707
[1443/5000][255/535][148921] Loss_D: -0.019821 Loss_G: -0.013972 Loss_D_real: -0.006446 Loss_D_fake 0.013375
[1443/5000][260/535][148922] Loss_D: -0.021610 Loss_G: 0.018562 Loss_D_real: -0.015914 Loss_D_fake 0.005696
[1443/5000][265/535][148923] Loss_D: -0.019907 Loss_G: -0.005219 Loss_D_real: -0.014287 Loss_D_fake 0.005620
[1443/5000][270/535][148924] Loss_D: -0.019859 Loss_G: -0.020189 Loss_D_real: 0.001682 Loss_D_fake 0.021541
[1443/5000][275/535][148925] Loss_D: -0.019607 Loss_G: 0.012034 Loss_D_real: -0.017190 Loss_D_fake 0.002417
[1443/5000][280/535][148926] Loss_D: -0.020221 Loss_G: 0.003107 Loss_D_real: -0.013657 Loss_D_fake 0.006565
[1443/5000][285/535][148927] Loss_D: -0.020152 Loss_G: -0.005670 Loss_D_real: -0.005852 Loss_D_fake 0.014300
[1443/5000][290/535][148928] Loss_D: -0.020048 Loss_G: 0.013184 Loss_D_real: -0.019447 Loss_D_fake 0.000601
[1443/5000][295/535][148929] Loss_D: -0.020024 Loss_G: 0.001290 Loss_D_real: -0.008253 Loss_D_fake 0.011771
[1443/5000][300/535][148930] Loss_D: -0.020565 Loss_G: 0.009840 Loss_D_real: -0.024123 Loss_D_fake -0.003558
[1443/5000][305/535][148931] Loss_D: -0.020957 Loss_G: 0.017249 Loss_D_real: -0.010270 Loss_D_fake 0.010688
[1443/5000][310/535][148932] Loss_D: -0.019883 Loss_G: 0.022158 Loss_D_real: -0.025539 Loss_D_fake -0.005656
[1443/5000][315/535][148933] Loss_D: -0.020648 Loss_G: 0.021052 Loss_D_real: -0.030916 Loss_D_fake -0.010268
[1443/5000][320/535][148934] Loss_D: -0.019138 Loss_G: 0.020777 Loss_D_real: -0.025127 Loss_D_fake -0.005989
[1443/5000][325/535][148935] Loss_D: -0.020900 Loss_G: 0.017208 Loss_D_real: -0.031591 Loss_D_fake -0.010690
[1443/5000][330/535][148936] Loss_D: -0.020231 Loss_G: -0.013702 Loss_D_real: -0.011205 Loss_D_fake 0.009026
[1443/5000][335/535][148937] Loss_D: -0.019386 Loss_G: 0.009480 Loss_D_real: -0.031105 Loss_D_fake -0.011719
[1443/5000][340/535][148938] Loss_D: -0.020298 Loss_G: 0.013633 Loss_D_real: -0.025533 Loss_D_fake -0.005235
[1443/5000][345/535][148939] Loss_D: -0.021585 Loss_G: -0.004163 Loss_D_real: -0.012623 Loss_D_fake 0.008963
[1443/5000][350/535][148940] Loss_D: -0.019930 Loss_G: 0.026334 Loss_D_real: -0.028335 Loss_D_fake -0.008405
[1443/5000][355/535][148941] Loss_D: -0.020743 Loss_G: 0.029635 Loss_D_real: -0.017454 Loss_D_fake 0.003289
[1443/5000][360/535][148942] Loss_D: -0.020098 Loss_G: -0.003605 Loss_D_real: -0.014834 Loss_D_fake 0.005264
[1443/5000][365/535][148943] Loss_D: -0.020479 Loss_G: -0.004511 Loss_D_real: -0.014734 Loss_D_fake 0.005745
[1443/5000][370/535][148944] Loss_D: -0.019241 Loss_G: -0.008040 Loss_D_real: -0.003787 Loss_D_fake 0.015454
[1443/5000][375/535][148945] Loss_D: -0.021144 Loss_G: 0.011107 Loss_D_real: -0.011135 Loss_D_fake 0.010009
[1443/5000][380/535][148946] Loss_D: -0.018996 Loss_G: 0.014836 Loss_D_real: -0.021067 Loss_D_fake -0.002071
[1443/5000][385/535][148947] Loss_D: -0.019878 Loss_G: 0.019532 Loss_D_real: -0.019290 Loss_D_fake 0.000588
[1443/5000][390/535][148948] Loss_D: -0.018796 Loss_G: -0.008954 Loss_D_real: -0.013020 Loss_D_fake 0.005777
[1443/5000][395/535][148949] Loss_D: -0.018805 Loss_G: -0.003406 Loss_D_real: 0.000862 Loss_D_fake 0.019667
[1443/5000][400/535][148950] Loss_D: -0.018735 Loss_G: 0.018521 Loss_D_real: -0.035726 Loss_D_fake -0.016991
[1443/5000][405/535][148951] Loss_D: -0.021492 Loss_G: 0.004975 Loss_D_real: -0.017541 Loss_D_fake 0.003951
[1443/5000][410/535][148952] Loss_D: -0.020076 Loss_G: 0.016723 Loss_D_real: -0.018611 Loss_D_fake 0.001465
[1443/5000][415/535][148953] Loss_D: -0.019597 Loss_G: -0.005690 Loss_D_real: 0.004529 Loss_D_fake 0.024126
[1443/5000][420/535][148954] Loss_D: -0.019356 Loss_G: -0.002664 Loss_D_real: -0.024881 Loss_D_fake -0.005525
[1443/5000][425/535][148955] Loss_D: -0.019779 Loss_G: 0.010450 Loss_D_real: -0.022140 Loss_D_fake -0.002361
[1443/5000][430/535][148956] Loss_D: -0.021273 Loss_G: 0.011965 Loss_D_real: -0.019766 Loss_D_fake 0.001507
[1443/5000][435/535][148957] Loss_D: -0.019520 Loss_G: 0.013165 Loss_D_real: -0.018836 Loss_D_fake 0.000685
[1443/5000][440/535][148958] Loss_D: -0.021053 Loss_G: 0.008974 Loss_D_real: -0.028353 Loss_D_fake -0.007300
[1443/5000][445/535][148959] Loss_D: -0.018610 Loss_G: 0.036913 Loss_D_real: -0.019128 Loss_D_fake -0.000518
[1443/5000][450/535][148960] Loss_D: -0.019645 Loss_G: 0.022992 Loss_D_real: -0.020728 Loss_D_fake -0.001083
[1443/5000][455/535][148961] Loss_D: -0.019048 Loss_G: 0.014790 Loss_D_real: -0.019616 Loss_D_fake -0.000568
[1443/5000][460/535][148962] Loss_D: -0.021969 Loss_G: -0.010329 Loss_D_real: -0.020365 Loss_D_fake 0.001604
[1443/5000][465/535][148963] Loss_D: -0.021708 Loss_G: 0.001550 Loss_D_real: -0.010406 Loss_D_fake 0.011303
[1443/5000][470/535][148964] Loss_D: -0.019137 Loss_G: 0.024036 Loss_D_real: -0.040327 Loss_D_fake -0.021190
[1443/5000][475/535][148965] Loss_D: -0.020277 Loss_G: 0.016538 Loss_D_real: -0.012352 Loss_D_fake 0.007925
[1443/5000][480/535][148966] Loss_D: -0.019349 Loss_G: -0.005086 Loss_D_real: -0.009942 Loss_D_fake 0.009407
[1443/5000][485/535][148967] Loss_D: -0.018916 Loss_G: 0.001558 Loss_D_real: -0.010115 Loss_D_fake 0.008801
[1443/5000][490/535][148968] Loss_D: -0.019619 Loss_G: -0.001777 Loss_D_real: 0.000272 Loss_D_fake 0.019890
[1443/5000][495/535][148969] Loss_D: -0.018207 Loss_G: -0.010365 Loss_D_real: -0.007713 Loss_D_fake 0.010494
[1443/5000][500/535][148970] Loss_D: -0.019667 Loss_G: 0.026432 Loss_D_real: -0.024149 Loss_D_fake -0.004483
[1443/5000][505/535][148971] Loss_D: -0.020087 Loss_G: 0.008747 Loss_D_real: -0.021147 Loss_D_fake -0.001060
[1443/5000][510/535][148972] Loss_D: -0.018818 Loss_G: 0.004979 Loss_D_real: -0.016139 Loss_D_fake 0.002679
[1443/5000][515/535][148973] Loss_D: -0.018370 Loss_G: 0.016816 Loss_D_real: -0.033067 Loss_D_fake -0.014697
[1443/5000][520/535][148974] Loss_D: -0.020290 Loss_G: 0.015610 Loss_D_real: -0.017909 Loss_D_fake 0.002381
[1443/5000][525/535][148975] Loss_D: -0.019563 Loss_G: -0.000020 Loss_D_real: -0.003442 Loss_D_fake 0.016121
[1443/5000][530/535][148976] Loss_D: -0.018696 Loss_G: 0.016701 Loss_D_real: -0.018058 Loss_D_fake 0.000638
[1443/5000][535/535][148977] Loss_D: -0.020720 Loss_G: -0.021608 Loss_D_real: -0.016324 Loss_D_fake 0.004396
[1444/5000][5/535][148978] Loss_D: -0.017766 Loss_G: 0.017779 Loss_D_real: -0.034581 Loss_D_fake -0.016815
[1444/5000][10/535][148979] Loss_D: -0.019762 Loss_G: 0.000647 Loss_D_real: -0.021092 Loss_D_fake -0.001330
[1444/5000][15/535][148980] Loss_D: -0.020078 Loss_G: 0.000518 Loss_D_real: -0.024196 Loss_D_fake -0.004118
[1444/5000][20/535][148981] Loss_D: -0.018682 Loss_G: 0.020668 Loss_D_real: -0.026368 Loss_D_fake -0.007686
[1444/5000][25/535][148982] Loss_D: -0.019614 Loss_G: -0.007887 Loss_D_real: -0.011697 Loss_D_fake 0.007917
[1444/5000][30/535][148983] Loss_D: -0.021332 Loss_G: -0.011421 Loss_D_real: -0.004624 Loss_D_fake 0.016708
[1444/5000][35/535][148984] Loss_D: -0.020026 Loss_G: 0.012248 Loss_D_real: -0.015726 Loss_D_fake 0.004300
[1444/5000][40/535][148985] Loss_D: -0.019774 Loss_G: 0.018696 Loss_D_real: -0.016797 Loss_D_fake 0.002978
[1444/5000][45/535][148986] Loss_D: -0.018733 Loss_G: -0.001785 Loss_D_real: -0.010857 Loss_D_fake 0.007875
[1444/5000][50/535][148987] Loss_D: -0.018545 Loss_G: 0.017485 Loss_D_real: -0.032121 Loss_D_fake -0.013576
[1444/5000][55/535][148988] Loss_D: -0.020289 Loss_G: 0.003822 Loss_D_real: -0.003564 Loss_D_fake 0.016725
[1444/5000][60/535][148989] Loss_D: -0.018824 Loss_G: 0.021153 Loss_D_real: -0.020495 Loss_D_fake -0.001671
[1444/5000][65/535][148990] Loss_D: -0.019816 Loss_G: -0.004228 Loss_D_real: -0.005926 Loss_D_fake 0.013890
[1444/5000][70/535][148991] Loss_D: -0.020094 Loss_G: -0.006523 Loss_D_real: -0.012552 Loss_D_fake 0.007542
[1444/5000][75/535][148992] Loss_D: -0.019491 Loss_G: 0.005066 Loss_D_real: -0.017751 Loss_D_fake 0.001740
[1444/5000][80/535][148993] Loss_D: -0.020723 Loss_G: 0.000730 Loss_D_real: -0.015763 Loss_D_fake 0.004960
[1444/5000][85/535][148994] Loss_D: -0.020745 Loss_G: 0.032540 Loss_D_real: -0.023813 Loss_D_fake -0.003068
[1444/5000][90/535][148995] Loss_D: -0.021391 Loss_G: 0.015135 Loss_D_real: -0.026279 Loss_D_fake -0.004889
[1444/5000][95/535][148996] Loss_D: -0.021226 Loss_G: -0.008062 Loss_D_real: -0.001753 Loss_D_fake 0.019473
[1444/5000][100/535][148997] Loss_D: -0.019639 Loss_G: 0.005572 Loss_D_real: -0.022834 Loss_D_fake -0.003194
[1444/5000][105/535][148998] Loss_D: -0.021881 Loss_G: -0.000629 Loss_D_real: -0.010420 Loss_D_fake 0.011461
[1444/5000][110/535][148999] Loss_D: -0.021657 Loss_G: 0.009639 Loss_D_real: -0.023912 Loss_D_fake -0.002256
[1444/5000][115/535][149000] Loss_D: -0.021002 Loss_G: -0.004559 Loss_D_real: -0.015697 Loss_D_fake 0.005305
[1444/5000][215/535][149001] Loss_D: -0.023839 Loss_G: -0.010251 Loss_D_real: -0.012234 Loss_D_fake 0.011606
[1444/5000][220/535][149002] Loss_D: -0.019945 Loss_G: 0.023371 Loss_D_real: -0.020661 Loss_D_fake -0.000715
[1444/5000][225/535][149003] Loss_D: -0.019143 Loss_G: -0.006444 Loss_D_real: -0.016135 Loss_D_fake 0.003008
[1444/5000][230/535][149004] Loss_D: -0.017594 Loss_G: 0.003348 Loss_D_real: -0.004751 Loss_D_fake 0.012844
[1444/5000][235/535][149005] Loss_D: -0.019226 Loss_G: 0.014384 Loss_D_real: -0.020825 Loss_D_fake -0.001599
[1444/5000][240/535][149006] Loss_D: -0.020106 Loss_G: -0.002881 Loss_D_real: -0.026759 Loss_D_fake -0.006653
[1444/5000][245/535][149007] Loss_D: -0.019800 Loss_G: 0.015870 Loss_D_real: -0.019638 Loss_D_fake 0.000161
[1444/5000][250/535][149008] Loss_D: -0.018715 Loss_G: 0.005926 Loss_D_real: -0.008754 Loss_D_fake 0.009961
[1444/5000][255/535][149009] Loss_D: -0.019207 Loss_G: 0.001458 Loss_D_real: -0.008711 Loss_D_fake 0.010495
[1444/5000][260/535][149010] Loss_D: -0.020589 Loss_G: -0.007549 Loss_D_real: -0.004117 Loss_D_fake 0.016472
[1444/5000][265/535][149011] Loss_D: -0.018729 Loss_G: 0.016319 Loss_D_real: -0.025663 Loss_D_fake -0.006934
[1444/5000][270/535][149012] Loss_D: -0.018382 Loss_G: -0.003065 Loss_D_real: -0.008106 Loss_D_fake 0.010276
[1444/5000][275/535][149013] Loss_D: -0.018072 Loss_G: 0.017148 Loss_D_real: -0.014502 Loss_D_fake 0.003570
[1444/5000][280/535][149014] Loss_D: -0.019625 Loss_G: 0.009060 Loss_D_real: -0.014130 Loss_D_fake 0.005495
[1444/5000][285/535][149015] Loss_D: -0.020159 Loss_G: 0.009082 Loss_D_real: -0.007483 Loss_D_fake 0.012675
[1444/5000][290/535][149016] Loss_D: -0.019900 Loss_G: 0.008420 Loss_D_real: -0.023292 Loss_D_fake -0.003392
[1444/5000][295/535][149017] Loss_D: -0.018644 Loss_G: -0.008834 Loss_D_real: -0.000328 Loss_D_fake 0.018316
[1444/5000][300/535][149018] Loss_D: -0.018810 Loss_G: 0.016037 Loss_D_real: -0.027841 Loss_D_fake -0.009031
[1444/5000][305/535][149019] Loss_D: -0.020203 Loss_G: 0.005291 Loss_D_real: -0.004972 Loss_D_fake 0.015231
[1444/5000][310/535][149020] Loss_D: -0.018976 Loss_G: 0.007383 Loss_D_real: -0.022171 Loss_D_fake -0.003195
[1444/5000][315/535][149021] Loss_D: -0.019373 Loss_G: 0.016627 Loss_D_real: -0.021024 Loss_D_fake -0.001651
[1444/5000][320/535][149022] Loss_D: -0.019666 Loss_G: -0.004646 Loss_D_real: -0.012783 Loss_D_fake 0.006883
[1444/5000][325/535][149023] Loss_D: -0.020077 Loss_G: 0.012823 Loss_D_real: -0.019094 Loss_D_fake 0.000983
[1444/5000][330/535][149024] Loss_D: -0.019146 Loss_G: 0.016768 Loss_D_real: -0.014389 Loss_D_fake 0.004757
[1444/5000][335/535][149025] Loss_D: -0.017830 Loss_G: 0.006761 Loss_D_real: -0.020394 Loss_D_fake -0.002564
[1444/5000][340/535][149026] Loss_D: -0.018914 Loss_G: 0.022545 Loss_D_real: -0.020647 Loss_D_fake -0.001734
[1444/5000][345/535][149027] Loss_D: -0.020701 Loss_G: -0.013061 Loss_D_real: -0.010809 Loss_D_fake 0.009892
[1444/5000][350/535][149028] Loss_D: -0.018637 Loss_G: -0.010424 Loss_D_real: -0.008129 Loss_D_fake 0.010508
[1444/5000][355/535][149029] Loss_D: -0.018152 Loss_G: 0.012046 Loss_D_real: -0.009556 Loss_D_fake 0.008596
[1444/5000][360/535][149030] Loss_D: -0.019061 Loss_G: 0.013424 Loss_D_real: -0.023342 Loss_D_fake -0.004281
[1444/5000][365/535][149031] Loss_D: -0.019169 Loss_G: -0.000663 Loss_D_real: -0.009628 Loss_D_fake 0.009541
[1444/5000][370/535][149032] Loss_D: -0.018075 Loss_G: 0.018636 Loss_D_real: -0.022813 Loss_D_fake -0.004738
[1444/5000][375/535][149033] Loss_D: -0.020721 Loss_G: -0.001589 Loss_D_real: -0.002904 Loss_D_fake 0.017818
[1444/5000][380/535][149034] Loss_D: -0.019028 Loss_G: 0.015689 Loss_D_real: -0.023368 Loss_D_fake -0.004340
[1444/5000][385/535][149035] Loss_D: -0.019772 Loss_G: -0.004318 Loss_D_real: -0.016963 Loss_D_fake 0.002809
[1444/5000][390/535][149036] Loss_D: -0.019491 Loss_G: -0.009568 Loss_D_real: 0.006887 Loss_D_fake 0.026378
[1444/5000][395/535][149037] Loss_D: -0.019296 Loss_G: 0.000346 Loss_D_real: -0.007218 Loss_D_fake 0.012078
[1444/5000][400/535][149038] Loss_D: -0.019353 Loss_G: 0.007657 Loss_D_real: -0.016189 Loss_D_fake 0.003164
[1444/5000][405/535][149039] Loss_D: -0.020003 Loss_G: 0.018366 Loss_D_real: -0.026380 Loss_D_fake -0.006377
[1444/5000][410/535][149040] Loss_D: -0.019193 Loss_G: 0.019294 Loss_D_real: -0.023681 Loss_D_fake -0.004488
[1444/5000][415/535][149041] Loss_D: -0.020116 Loss_G: 0.028766 Loss_D_real: -0.036025 Loss_D_fake -0.015910
[1444/5000][420/535][149042] Loss_D: -0.020253 Loss_G: 0.022465 Loss_D_real: -0.026894 Loss_D_fake -0.006641
[1444/5000][425/535][149043] Loss_D: -0.021144 Loss_G: 0.010104 Loss_D_real: -0.030725 Loss_D_fake -0.009582
[1444/5000][430/535][149044] Loss_D: -0.021074 Loss_G: 0.012539 Loss_D_real: -0.018361 Loss_D_fake 0.002714
[1444/5000][435/535][149045] Loss_D: -0.020120 Loss_G: 0.007401 Loss_D_real: -0.024366 Loss_D_fake -0.004247
[1444/5000][440/535][149046] Loss_D: -0.020493 Loss_G: -0.000588 Loss_D_real: -0.014278 Loss_D_fake 0.006214
[1444/5000][445/535][149047] Loss_D: -0.020446 Loss_G: -0.000716 Loss_D_real: -0.008247 Loss_D_fake 0.012199
[1444/5000][450/535][149048] Loss_D: -0.020537 Loss_G: -0.007673 Loss_D_real: -0.011447 Loss_D_fake 0.009091
[1444/5000][455/535][149049] Loss_D: -0.019767 Loss_G: 0.022218 Loss_D_real: -0.021299 Loss_D_fake -0.001532
[1444/5000][460/535][149050] Loss_D: -0.020108 Loss_G: -0.005815 Loss_D_real: -0.002961 Loss_D_fake 0.017147
[1444/5000][465/535][149051] Loss_D: -0.019337 Loss_G: 0.023747 Loss_D_real: -0.040253 Loss_D_fake -0.020916
[1444/5000][470/535][149052] Loss_D: -0.020261 Loss_G: -0.003041 Loss_D_real: -0.010419 Loss_D_fake 0.009842
[1444/5000][475/535][149053] Loss_D: -0.020153 Loss_G: 0.014412 Loss_D_real: -0.014749 Loss_D_fake 0.005404
[1444/5000][480/535][149054] Loss_D: -0.020445 Loss_G: 0.019187 Loss_D_real: -0.020366 Loss_D_fake 0.000080
[1444/5000][485/535][149055] Loss_D: -0.020933 Loss_G: -0.005783 Loss_D_real: -0.019116 Loss_D_fake 0.001817
[1444/5000][490/535][149056] Loss_D: -0.020957 Loss_G: 0.017896 Loss_D_real: -0.033516 Loss_D_fake -0.012559
[1444/5000][495/535][149057] Loss_D: -0.019078 Loss_G: 0.006999 Loss_D_real: -0.011026 Loss_D_fake 0.008052
[1444/5000][500/535][149058] Loss_D: -0.016453 Loss_G: -0.016205 Loss_D_real: 0.003316 Loss_D_fake 0.019769
[1444/5000][505/535][149059] Loss_D: -0.018706 Loss_G: 0.017604 Loss_D_real: -0.016186 Loss_D_fake 0.002520
[1444/5000][510/535][149060] Loss_D: -0.019437 Loss_G: 0.012626 Loss_D_real: -0.016102 Loss_D_fake 0.003335
[1444/5000][515/535][149061] Loss_D: -0.019487 Loss_G: 0.015655 Loss_D_real: -0.026819 Loss_D_fake -0.007332
[1444/5000][520/535][149062] Loss_D: -0.019723 Loss_G: 0.006831 Loss_D_real: -0.030808 Loss_D_fake -0.011085
[1444/5000][525/535][149063] Loss_D: -0.019195 Loss_G: -0.025061 Loss_D_real: 0.004137 Loss_D_fake 0.023332
[1444/5000][530/535][149064] Loss_D: -0.018798 Loss_G: 0.010136 Loss_D_real: -0.015198 Loss_D_fake 0.003600
[1444/5000][535/535][149065] Loss_D: -0.017932 Loss_G: -0.000993 Loss_D_real: -0.006113 Loss_D_fake 0.011820
[1445/5000][5/535][149066] Loss_D: -0.018777 Loss_G: -0.016483 Loss_D_real: 0.002024 Loss_D_fake 0.020801
[1445/5000][10/535][149067] Loss_D: -0.019716 Loss_G: 0.011821 Loss_D_real: -0.023539 Loss_D_fake -0.003824
[1445/5000][15/535][149068] Loss_D: -0.019674 Loss_G: 0.001981 Loss_D_real: 0.000055 Loss_D_fake 0.019729
[1445/5000][20/535][149069] Loss_D: -0.020175 Loss_G: 0.017180 Loss_D_real: -0.012986 Loss_D_fake 0.007189
[1445/5000][25/535][149070] Loss_D: -0.018851 Loss_G: 0.001563 Loss_D_real: -0.015324 Loss_D_fake 0.003527
[1445/5000][30/535][149071] Loss_D: -0.018583 Loss_G: 0.010194 Loss_D_real: -0.013964 Loss_D_fake 0.004619
[1445/5000][35/535][149072] Loss_D: -0.019474 Loss_G: 0.009007 Loss_D_real: -0.028589 Loss_D_fake -0.009114
[1445/5000][40/535][149073] Loss_D: -0.020156 Loss_G: -0.019789 Loss_D_real: -0.006129 Loss_D_fake 0.014027
[1445/5000][45/535][149074] Loss_D: -0.018741 Loss_G: -0.010516 Loss_D_real: -0.005019 Loss_D_fake 0.013721
[1445/5000][50/535][149075] Loss_D: -0.019233 Loss_G: 0.015068 Loss_D_real: -0.021564 Loss_D_fake -0.002331
[1445/5000][55/535][149076] Loss_D: -0.019084 Loss_G: -0.011318 Loss_D_real: 0.000908 Loss_D_fake 0.019991
[1445/5000][60/535][149077] Loss_D: -0.020822 Loss_G: 0.008552 Loss_D_real: -0.023244 Loss_D_fake -0.002422
[1445/5000][65/535][149078] Loss_D: -0.020527 Loss_G: 0.003102 Loss_D_real: -0.015070 Loss_D_fake 0.005457
[1445/5000][70/535][149079] Loss_D: -0.019599 Loss_G: 0.010315 Loss_D_real: -0.022504 Loss_D_fake -0.002904
[1445/5000][75/535][149080] Loss_D: -0.018852 Loss_G: 0.008958 Loss_D_real: -0.021355 Loss_D_fake -0.002504
[1445/5000][80/535][149081] Loss_D: -0.019793 Loss_G: -0.016458 Loss_D_real: 0.000549 Loss_D_fake 0.020341
[1445/5000][85/535][149082] Loss_D: -0.019509 Loss_G: 0.004817 Loss_D_real: -0.018865 Loss_D_fake 0.000644
[1445/5000][90/535][149083] Loss_D: -0.020047 Loss_G: 0.009196 Loss_D_real: -0.007634 Loss_D_fake 0.012413
[1445/5000][95/535][149084] Loss_D: -0.020652 Loss_G: -0.006232 Loss_D_real: -0.008099 Loss_D_fake 0.012552
[1445/5000][100/535][149085] Loss_D: -0.020812 Loss_G: -0.001218 Loss_D_real: -0.013497 Loss_D_fake 0.007314
[1445/5000][105/535][149086] Loss_D: -0.018151 Loss_G: 0.018532 Loss_D_real: -0.024996 Loss_D_fake -0.006845
[1445/5000][110/535][149087] Loss_D: -0.019591 Loss_G: 0.027889 Loss_D_real: -0.028469 Loss_D_fake -0.008878
[1445/5000][115/535][149088] Loss_D: -0.020802 Loss_G: 0.013737 Loss_D_real: -0.015407 Loss_D_fake 0.005395
[1445/5000][120/535][149089] Loss_D: -0.020167 Loss_G: 0.012801 Loss_D_real: -0.017877 Loss_D_fake 0.002290
[1445/5000][125/535][149090] Loss_D: -0.021066 Loss_G: -0.002093 Loss_D_real: -0.021362 Loss_D_fake -0.000296
[1445/5000][130/535][149091] Loss_D: -0.019766 Loss_G: 0.004412 Loss_D_real: -0.009712 Loss_D_fake 0.010054
[1445/5000][135/535][149092] Loss_D: -0.021997 Loss_G: 0.006680 Loss_D_real: -0.014400 Loss_D_fake 0.007597
[1445/5000][140/535][149093] Loss_D: -0.021025 Loss_G: 0.001549 Loss_D_real: -0.020610 Loss_D_fake 0.000415
[1445/5000][145/535][149094] Loss_D: -0.021016 Loss_G: 0.013051 Loss_D_real: -0.016691 Loss_D_fake 0.004324
[1445/5000][150/535][149095] Loss_D: -0.019962 Loss_G: 0.031876 Loss_D_real: -0.026759 Loss_D_fake -0.006797
[1445/5000][155/535][149096] Loss_D: -0.020561 Loss_G: -0.002136 Loss_D_real: -0.015523 Loss_D_fake 0.005038
[1445/5000][160/535][149097] Loss_D: -0.019565 Loss_G: -0.015416 Loss_D_real: -0.007598 Loss_D_fake 0.011968
[1445/5000][165/535][149098] Loss_D: -0.021321 Loss_G: 0.006645 Loss_D_real: -0.014786 Loss_D_fake 0.006535
[1445/5000][170/535][149099] Loss_D: -0.020391 Loss_G: -0.000295 Loss_D_real: 0.000130 Loss_D_fake 0.020521
[1445/5000][175/535][149100] Loss_D: -0.019155 Loss_G: -0.000198 Loss_D_real: -0.013930 Loss_D_fake 0.005225
[1445/5000][180/535][149101] Loss_D: -0.020775 Loss_G: 0.011305 Loss_D_real: -0.022529 Loss_D_fake -0.001754
[1445/5000][185/535][149102] Loss_D: -0.020550 Loss_G: 0.010857 Loss_D_real: -0.018493 Loss_D_fake 0.002057
[1445/5000][190/535][149103] Loss_D: -0.019498 Loss_G: 0.013801 Loss_D_real: -0.023337 Loss_D_fake -0.003839
[1445/5000][195/535][149104] Loss_D: -0.018319 Loss_G: -0.006766 Loss_D_real: -0.002049 Loss_D_fake 0.016270
[1445/5000][200/535][149105] Loss_D: -0.020045 Loss_G: 0.001416 Loss_D_real: -0.019350 Loss_D_fake 0.000694
[1445/5000][205/535][149106] Loss_D: -0.019908 Loss_G: 0.023610 Loss_D_real: -0.020793 Loss_D_fake -0.000885
[1445/5000][210/535][149107] Loss_D: -0.020307 Loss_G: 0.017098 Loss_D_real: -0.027693 Loss_D_fake -0.007387
[1445/5000][215/535][149108] Loss_D: -0.019009 Loss_G: 0.009564 Loss_D_real: -0.021696 Loss_D_fake -0.002687
[1445/5000][220/535][149109] Loss_D: -0.021354 Loss_G: 0.023942 Loss_D_real: -0.023763 Loss_D_fake -0.002409
[1445/5000][225/535][149110] Loss_D: -0.019959 Loss_G: 0.007834 Loss_D_real: -0.009694 Loss_D_fake 0.010264
[1445/5000][230/535][149111] Loss_D: -0.019198 Loss_G: 0.006335 Loss_D_real: -0.016669 Loss_D_fake 0.002529
[1445/5000][235/535][149112] Loss_D: -0.019730 Loss_G: -0.008905 Loss_D_real: -0.001822 Loss_D_fake 0.017908
[1445/5000][240/535][149113] Loss_D: -0.020259 Loss_G: -0.005890 Loss_D_real: -0.016212 Loss_D_fake 0.004047
[1445/5000][245/535][149114] Loss_D: -0.020162 Loss_G: 0.001505 Loss_D_real: -0.006003 Loss_D_fake 0.014159
[1445/5000][250/535][149115] Loss_D: -0.021328 Loss_G: 0.019453 Loss_D_real: -0.009817 Loss_D_fake 0.011511
[1445/5000][255/535][149116] Loss_D: -0.021120 Loss_G: 0.009260 Loss_D_real: -0.029058 Loss_D_fake -0.007938
[1445/5000][260/535][149117] Loss_D: -0.020910 Loss_G: -0.016123 Loss_D_real: -0.005638 Loss_D_fake 0.015273
[1445/5000][265/535][149118] Loss_D: -0.020531 Loss_G: 0.005802 Loss_D_real: -0.004823 Loss_D_fake 0.015709
[1445/5000][270/535][149119] Loss_D: -0.021317 Loss_G: 0.019791 Loss_D_real: -0.020129 Loss_D_fake 0.001189
[1445/5000][275/535][149120] Loss_D: -0.020151 Loss_G: 0.006824 Loss_D_real: -0.021016 Loss_D_fake -0.000865
[1445/5000][280/535][149121] Loss_D: -0.019196 Loss_G: -0.004525 Loss_D_real: -0.009065 Loss_D_fake 0.010131
[1445/5000][285/535][149122] Loss_D: -0.019739 Loss_G: 0.005912 Loss_D_real: -0.006755 Loss_D_fake 0.012985
[1445/5000][290/535][149123] Loss_D: -0.020154 Loss_G: 0.003475 Loss_D_real: 0.000538 Loss_D_fake 0.020692
[1445/5000][295/535][149124] Loss_D: -0.019866 Loss_G: 0.008567 Loss_D_real: -0.018641 Loss_D_fake 0.001226
[1445/5000][300/535][149125] Loss_D: -0.020533 Loss_G: 0.012564 Loss_D_real: -0.010372 Loss_D_fake 0.010161
[1445/5000][305/535][149126] Loss_D: -0.020304 Loss_G: 0.007388 Loss_D_real: -0.010276 Loss_D_fake 0.010028
[1445/5000][310/535][149127] Loss_D: -0.020188 Loss_G: -0.008497 Loss_D_real: -0.005904 Loss_D_fake 0.014284
[1445/5000][315/535][149128] Loss_D: -0.019907 Loss_G: 0.001961 Loss_D_real: -0.009072 Loss_D_fake 0.010836
[1445/5000][320/535][149129] Loss_D: -0.020210 Loss_G: 0.015476 Loss_D_real: -0.015045 Loss_D_fake 0.005165
[1445/5000][325/535][149130] Loss_D: -0.018717 Loss_G: 0.027467 Loss_D_real: -0.024783 Loss_D_fake -0.006066
[1445/5000][330/535][149131] Loss_D: -0.020214 Loss_G: 0.006192 Loss_D_real: -0.014667 Loss_D_fake 0.005547
[1445/5000][335/535][149132] Loss_D: -0.019541 Loss_G: 0.012107 Loss_D_real: -0.016372 Loss_D_fake 0.003169
[1445/5000][340/535][149133] Loss_D: -0.020682 Loss_G: 0.000432 Loss_D_real: -0.014439 Loss_D_fake 0.006243
[1445/5000][345/535][149134] Loss_D: -0.019761 Loss_G: -0.007569 Loss_D_real: -0.008018 Loss_D_fake 0.011743
[1445/5000][350/535][149135] Loss_D: -0.019056 Loss_G: 0.006550 Loss_D_real: -0.008911 Loss_D_fake 0.010146
[1445/5000][355/535][149136] Loss_D: -0.019193 Loss_G: 0.008067 Loss_D_real: -0.033091 Loss_D_fake -0.013898
[1445/5000][360/535][149137] Loss_D: -0.021249 Loss_G: -0.003653 Loss_D_real: -0.014249 Loss_D_fake 0.007000
[1445/5000][365/535][149138] Loss_D: -0.019634 Loss_G: 0.003199 Loss_D_real: -0.004793 Loss_D_fake 0.014841
[1445/5000][370/535][149139] Loss_D: -0.021497 Loss_G: 0.010804 Loss_D_real: -0.012365 Loss_D_fake 0.009132
[1445/5000][375/535][149140] Loss_D: -0.019060 Loss_G: 0.005003 Loss_D_real: -0.030093 Loss_D_fake -0.011033
[1445/5000][380/535][149141] Loss_D: -0.019237 Loss_G: 0.005060 Loss_D_real: -0.011139 Loss_D_fake 0.008099
[1445/5000][385/535][149142] Loss_D: -0.020867 Loss_G: 0.009357 Loss_D_real: -0.020188 Loss_D_fake 0.000679
[1445/5000][390/535][149143] Loss_D: -0.019414 Loss_G: -0.018775 Loss_D_real: -0.004301 Loss_D_fake 0.015113
[1445/5000][395/535][149144] Loss_D: -0.017925 Loss_G: 0.024338 Loss_D_real: -0.031829 Loss_D_fake -0.013903
[1445/5000][400/535][149145] Loss_D: -0.019769 Loss_G: 0.002798 Loss_D_real: -0.006755 Loss_D_fake 0.013014
[1445/5000][405/535][149146] Loss_D: -0.018787 Loss_G: 0.012342 Loss_D_real: -0.017700 Loss_D_fake 0.001087
[1445/5000][410/535][149147] Loss_D: -0.019380 Loss_G: 0.002798 Loss_D_real: -0.016952 Loss_D_fake 0.002428
[1445/5000][415/535][149148] Loss_D: -0.018994 Loss_G: 0.007934 Loss_D_real: -0.012516 Loss_D_fake 0.006478
[1445/5000][420/535][149149] Loss_D: -0.019786 Loss_G: -0.004810 Loss_D_real: -0.012034 Loss_D_fake 0.007752
[1445/5000][425/535][149150] Loss_D: -0.018598 Loss_G: 0.000800 Loss_D_real: -0.002127 Loss_D_fake 0.016471
[1445/5000][430/535][149151] Loss_D: -0.020604 Loss_G: 0.015744 Loss_D_real: -0.027989 Loss_D_fake -0.007386
[1445/5000][435/535][149152] Loss_D: -0.020957 Loss_G: 0.016930 Loss_D_real: -0.019978 Loss_D_fake 0.000979
[1445/5000][440/535][149153] Loss_D: -0.020487 Loss_G: 0.020916 Loss_D_real: -0.025936 Loss_D_fake -0.005449
[1445/5000][445/535][149154] Loss_D: -0.019603 Loss_G: -0.004330 Loss_D_real: -0.017815 Loss_D_fake 0.001788
[1445/5000][450/535][149155] Loss_D: -0.020484 Loss_G: 0.018412 Loss_D_real: -0.023161 Loss_D_fake -0.002676
[1445/5000][455/535][149156] Loss_D: -0.018392 Loss_G: 0.001733 Loss_D_real: -0.018091 Loss_D_fake 0.000301
[1445/5000][460/535][149157] Loss_D: -0.019162 Loss_G: 0.016192 Loss_D_real: -0.033610 Loss_D_fake -0.014448
[1445/5000][465/535][149158] Loss_D: -0.018351 Loss_G: -0.014993 Loss_D_real: -0.006754 Loss_D_fake 0.011597
[1445/5000][470/535][149159] Loss_D: -0.020562 Loss_G: 0.015176 Loss_D_real: -0.032016 Loss_D_fake -0.011454
[1445/5000][475/535][149160] Loss_D: -0.020812 Loss_G: 0.004347 Loss_D_real: -0.006627 Loss_D_fake 0.014185
[1445/5000][480/535][149161] Loss_D: -0.020046 Loss_G: -0.007043 Loss_D_real: -0.016878 Loss_D_fake 0.003168
[1445/5000][485/535][149162] Loss_D: -0.019470 Loss_G: 0.014839 Loss_D_real: -0.027829 Loss_D_fake -0.008358
[1445/5000][490/535][149163] Loss_D: -0.019566 Loss_G: 0.020093 Loss_D_real: -0.030709 Loss_D_fake -0.011143
[1445/5000][495/535][149164] Loss_D: -0.019627 Loss_G: -0.002509 Loss_D_real: -0.008939 Loss_D_fake 0.010688
[1445/5000][500/535][149165] Loss_D: -0.020439 Loss_G: 0.019248 Loss_D_real: -0.037535 Loss_D_fake -0.017097
[1445/5000][505/535][149166] Loss_D: -0.021604 Loss_G: 0.002449 Loss_D_real: -0.017318 Loss_D_fake 0.004286
[1445/5000][510/535][149167] Loss_D: -0.020778 Loss_G: 0.005698 Loss_D_real: -0.022259 Loss_D_fake -0.001481
[1445/5000][515/535][149168] Loss_D: -0.021529 Loss_G: 0.004536 Loss_D_real: -0.011557 Loss_D_fake 0.009972
[1445/5000][520/535][149169] Loss_D: -0.021156 Loss_G: -0.004818 Loss_D_real: -0.024542 Loss_D_fake -0.003387
[1445/5000][525/535][149170] Loss_D: -0.020305 Loss_G: -0.009862 Loss_D_real: -0.009575 Loss_D_fake 0.010730
[1445/5000][530/535][149171] Loss_D: -0.020957 Loss_G: -0.001881 Loss_D_real: -0.008777 Loss_D_fake 0.012180
[1445/5000][535/535][149172] Loss_D: -0.018957 Loss_G: -0.001296 Loss_D_real: -0.013018 Loss_D_fake 0.005939
[1446/5000][5/535][149173] Loss_D: -0.019847 Loss_G: 0.003545 Loss_D_real: -0.017671 Loss_D_fake 0.002176
[1446/5000][10/535][149174] Loss_D: -0.019564 Loss_G: 0.005611 Loss_D_real: -0.002220 Loss_D_fake 0.017344
[1446/5000][15/535][149175] Loss_D: -0.020226 Loss_G: 0.017334 Loss_D_real: -0.021638 Loss_D_fake -0.001412
[1446/5000][20/535][149176] Loss_D: -0.019792 Loss_G: -0.001443 Loss_D_real: -0.001618 Loss_D_fake 0.018174
[1446/5000][25/535][149177] Loss_D: -0.021159 Loss_G: 0.018600 Loss_D_real: -0.029833 Loss_D_fake -0.008674
[1446/5000][30/535][149178] Loss_D: -0.021830 Loss_G: 0.002774 Loss_D_real: -0.021118 Loss_D_fake 0.000712
[1446/5000][35/535][149179] Loss_D: -0.020078 Loss_G: 0.001221 Loss_D_real: -0.025717 Loss_D_fake -0.005639
[1446/5000][40/535][149180] Loss_D: -0.019218 Loss_G: 0.010350 Loss_D_real: -0.027340 Loss_D_fake -0.008122
[1446/5000][45/535][149181] Loss_D: -0.019558 Loss_G: 0.012753 Loss_D_real: -0.007234 Loss_D_fake 0.012324
[1446/5000][50/535][149182] Loss_D: -0.018585 Loss_G: 0.003603 Loss_D_real: -0.013247 Loss_D_fake 0.005338
[1446/5000][55/535][149183] Loss_D: -0.019824 Loss_G: 0.010550 Loss_D_real: -0.020120 Loss_D_fake -0.000296
[1446/5000][60/535][149184] Loss_D: -0.019981 Loss_G: -0.000460 Loss_D_real: -0.014568 Loss_D_fake 0.005413
[1446/5000][65/535][149185] Loss_D: -0.018940 Loss_G: 0.018677 Loss_D_real: -0.028807 Loss_D_fake -0.009867
[1446/5000][70/535][149186] Loss_D: -0.018517 Loss_G: 0.010363 Loss_D_real: -0.012515 Loss_D_fake 0.006001
[1446/5000][75/535][149187] Loss_D: -0.019395 Loss_G: 0.021626 Loss_D_real: -0.026345 Loss_D_fake -0.006950
[1446/5000][80/535][149188] Loss_D: -0.019541 Loss_G: 0.004209 Loss_D_real: -0.019104 Loss_D_fake 0.000438
[1446/5000][85/535][149189] Loss_D: -0.018327 Loss_G: 0.026473 Loss_D_real: -0.016494 Loss_D_fake 0.001832
[1446/5000][90/535][149190] Loss_D: -0.019028 Loss_G: -0.005991 Loss_D_real: 0.002365 Loss_D_fake 0.021393
[1446/5000][95/535][149191] Loss_D: -0.020173 Loss_G: 0.016142 Loss_D_real: -0.007632 Loss_D_fake 0.012541
[1446/5000][100/535][149192] Loss_D: -0.019993 Loss_G: 0.003841 Loss_D_real: -0.014609 Loss_D_fake 0.005384
[1446/5000][105/535][149193] Loss_D: -0.020357 Loss_G: 0.024116 Loss_D_real: -0.013501 Loss_D_fake 0.006856
[1446/5000][110/535][149194] Loss_D: -0.020754 Loss_G: 0.000577 Loss_D_real: -0.027737 Loss_D_fake -0.006983
[1446/5000][115/535][149195] Loss_D: -0.021276 Loss_G: 0.016945 Loss_D_real: -0.022038 Loss_D_fake -0.000762
[1446/5000][120/535][149196] Loss_D: -0.020372 Loss_G: -0.015840 Loss_D_real: -0.004202 Loss_D_fake 0.016169
[1446/5000][125/535][149197] Loss_D: -0.020184 Loss_G: 0.000852 Loss_D_real: -0.018169 Loss_D_fake 0.002015
[1446/5000][130/535][149198] Loss_D: -0.020097 Loss_G: 0.000361 Loss_D_real: -0.010652 Loss_D_fake 0.009445
[1446/5000][135/535][149199] Loss_D: -0.020827 Loss_G: 0.003503 Loss_D_real: -0.009249 Loss_D_fake 0.011578
[1446/5000][140/535][149200] Loss_D: -0.018118 Loss_G: 0.018387 Loss_D_real: -0.033126 Loss_D_fake -0.015009
[1446/5000][145/535][149201] Loss_D: -0.019670 Loss_G: -0.001719 Loss_D_real: 0.004368 Loss_D_fake 0.024037
[1446/5000][150/535][149202] Loss_D: -0.019981 Loss_G: 0.006774 Loss_D_real: -0.020317 Loss_D_fake -0.000336
[1446/5000][155/535][149203] Loss_D: -0.018788 Loss_G: -0.007398 Loss_D_real: -0.002382 Loss_D_fake 0.016405
[1446/5000][160/535][149204] Loss_D: -0.020173 Loss_G: 0.009918 Loss_D_real: -0.010569 Loss_D_fake 0.009604
[1446/5000][165/535][149205] Loss_D: -0.020766 Loss_G: -0.005089 Loss_D_real: -0.010908 Loss_D_fake 0.009857
[1446/5000][170/535][149206] Loss_D: -0.020336 Loss_G: 0.004874 Loss_D_real: -0.010131 Loss_D_fake 0.010205
[1446/5000][175/535][149207] Loss_D: -0.020794 Loss_G: 0.002155 Loss_D_real: -0.011229 Loss_D_fake 0.009565
[1446/5000][180/535][149208] Loss_D: -0.019369 Loss_G: 0.019803 Loss_D_real: -0.020262 Loss_D_fake -0.000893
[1446/5000][185/535][149209] Loss_D: -0.018965 Loss_G: -0.012847 Loss_D_real: -0.003347 Loss_D_fake 0.015618
[1446/5000][190/535][149210] Loss_D: -0.020312 Loss_G: 0.013833 Loss_D_real: -0.010016 Loss_D_fake 0.010296
[1446/5000][195/535][149211] Loss_D: -0.018563 Loss_G: 0.015773 Loss_D_real: -0.024060 Loss_D_fake -0.005498
[1446/5000][200/535][149212] Loss_D: -0.017933 Loss_G: -0.013529 Loss_D_real: -0.004166 Loss_D_fake 0.013767
[1446/5000][205/535][149213] Loss_D: -0.019111 Loss_G: 0.019333 Loss_D_real: -0.018421 Loss_D_fake 0.000690
[1446/5000][210/535][149214] Loss_D: -0.019788 Loss_G: 0.012679 Loss_D_real: -0.028853 Loss_D_fake -0.009065
[1446/5000][215/535][149215] Loss_D: -0.020531 Loss_G: 0.020386 Loss_D_real: -0.027929 Loss_D_fake -0.007398
[1446/5000][220/535][149216] Loss_D: -0.020049 Loss_G: -0.011422 Loss_D_real: -0.007293 Loss_D_fake 0.012756
[1446/5000][225/535][149217] Loss_D: -0.019280 Loss_G: 0.018467 Loss_D_real: -0.035862 Loss_D_fake -0.016581
[1446/5000][230/535][149218] Loss_D: -0.020574 Loss_G: 0.011357 Loss_D_real: -0.020108 Loss_D_fake 0.000466
[1446/5000][235/535][149219] Loss_D: -0.020734 Loss_G: 0.008934 Loss_D_real: -0.015427 Loss_D_fake 0.005307
[1446/5000][240/535][149220] Loss_D: -0.020972 Loss_G: 0.012130 Loss_D_real: -0.017623 Loss_D_fake 0.003350
[1446/5000][245/535][149221] Loss_D: -0.020291 Loss_G: 0.025193 Loss_D_real: -0.022667 Loss_D_fake -0.002376
[1446/5000][250/535][149222] Loss_D: -0.021138 Loss_G: -0.008005 Loss_D_real: -0.012370 Loss_D_fake 0.008768
[1446/5000][255/535][149223] Loss_D: -0.019188 Loss_G: 0.032377 Loss_D_real: -0.028118 Loss_D_fake -0.008930
[1446/5000][260/535][149224] Loss_D: -0.019858 Loss_G: -0.011962 Loss_D_real: -0.020089 Loss_D_fake -0.000231
[1446/5000][265/535][149225] Loss_D: -0.021310 Loss_G: 0.014209 Loss_D_real: -0.007898 Loss_D_fake 0.013411
[1446/5000][270/535][149226] Loss_D: -0.018267 Loss_G: -0.004316 Loss_D_real: -0.007555 Loss_D_fake 0.010711
[1446/5000][275/535][149227] Loss_D: -0.017877 Loss_G: -0.010068 Loss_D_real: 0.001703 Loss_D_fake 0.019579
[1446/5000][280/535][149228] Loss_D: -0.018272 Loss_G: -0.011904 Loss_D_real: -0.005857 Loss_D_fake 0.012415
[1446/5000][285/535][149229] Loss_D: -0.019970 Loss_G: 0.016062 Loss_D_real: -0.024483 Loss_D_fake -0.004513
[1446/5000][290/535][149230] Loss_D: -0.020200 Loss_G: 0.004828 Loss_D_real: -0.004244 Loss_D_fake 0.015956
[1446/5000][295/535][149231] Loss_D: -0.020288 Loss_G: 0.005859 Loss_D_real: -0.017318 Loss_D_fake 0.002969
[1446/5000][300/535][149232] Loss_D: -0.019843 Loss_G: -0.004933 Loss_D_real: -0.007893 Loss_D_fake 0.011950
[1446/5000][305/535][149233] Loss_D: -0.019001 Loss_G: 0.015168 Loss_D_real: -0.028191 Loss_D_fake -0.009190
[1446/5000][310/535][149234] Loss_D: -0.019807 Loss_G: 0.005834 Loss_D_real: -0.024642 Loss_D_fake -0.004835
[1446/5000][315/535][149235] Loss_D: -0.020509 Loss_G: 0.012743 Loss_D_real: -0.008772 Loss_D_fake 0.011737
[1446/5000][320/535][149236] Loss_D: -0.020211 Loss_G: 0.015971 Loss_D_real: -0.013610 Loss_D_fake 0.006600
[1446/5000][325/535][149237] Loss_D: -0.021387 Loss_G: -0.014806 Loss_D_real: -0.000133 Loss_D_fake 0.021254
[1446/5000][330/535][149238] Loss_D: -0.019412 Loss_G: -0.013057 Loss_D_real: -0.005125 Loss_D_fake 0.014287
[1446/5000][335/535][149239] Loss_D: -0.019886 Loss_G: 0.018049 Loss_D_real: -0.021220 Loss_D_fake -0.001334
[1446/5000][340/535][149240] Loss_D: -0.021049 Loss_G: -0.011491 Loss_D_real: -0.018542 Loss_D_fake 0.002507
[1446/5000][345/535][149241] Loss_D: -0.020994 Loss_G: 0.006524 Loss_D_real: -0.018813 Loss_D_fake 0.002181
[1446/5000][350/535][149242] Loss_D: -0.021539 Loss_G: 0.014445 Loss_D_real: -0.028671 Loss_D_fake -0.007131
[1446/5000][355/535][149243] Loss_D: -0.021488 Loss_G: 0.021346 Loss_D_real: -0.024862 Loss_D_fake -0.003374
[1446/5000][360/535][149244] Loss_D: -0.020417 Loss_G: 0.000988 Loss_D_real: -0.012575 Loss_D_fake 0.007842
[1446/5000][365/535][149245] Loss_D: -0.018734 Loss_G: 0.020028 Loss_D_real: -0.034086 Loss_D_fake -0.015352
[1446/5000][370/535][149246] Loss_D: -0.020220 Loss_G: 0.018425 Loss_D_real: -0.032472 Loss_D_fake -0.012253
[1446/5000][375/535][149247] Loss_D: -0.019242 Loss_G: 0.016048 Loss_D_real: -0.033514 Loss_D_fake -0.014272
[1446/5000][380/535][149248] Loss_D: -0.020384 Loss_G: 0.006698 Loss_D_real: -0.013865 Loss_D_fake 0.006519
[1446/5000][385/535][149249] Loss_D: -0.020120 Loss_G: 0.019550 Loss_D_real: -0.027681 Loss_D_fake -0.007561
[1446/5000][390/535][149250] Loss_D: -0.019991 Loss_G: 0.018608 Loss_D_real: -0.017795 Loss_D_fake 0.002196
[1446/5000][395/535][149251] Loss_D: -0.021642 Loss_G: 0.016568 Loss_D_real: -0.014425 Loss_D_fake 0.007217
[1446/5000][400/535][149252] Loss_D: -0.021103 Loss_G: -0.001542 Loss_D_real: -0.020859 Loss_D_fake 0.000243
[1446/5000][405/535][149253] Loss_D: -0.020325 Loss_G: 0.006351 Loss_D_real: -0.016226 Loss_D_fake 0.004099
[1446/5000][410/535][149254] Loss_D: -0.019303 Loss_G: 0.011206 Loss_D_real: -0.024992 Loss_D_fake -0.005689
[1446/5000][415/535][149255] Loss_D: -0.020444 Loss_G: 0.009048 Loss_D_real: -0.031745 Loss_D_fake -0.011301
[1446/5000][420/535][149256] Loss_D: -0.020328 Loss_G: 0.003765 Loss_D_real: -0.025849 Loss_D_fake -0.005521
[1446/5000][425/535][149257] Loss_D: -0.019940 Loss_G: 0.029972 Loss_D_real: -0.029196 Loss_D_fake -0.009256
[1446/5000][430/535][149258] Loss_D: -0.018619 Loss_G: -0.010910 Loss_D_real: -0.004561 Loss_D_fake 0.014059
[1446/5000][435/535][149259] Loss_D: -0.020475 Loss_G: 0.021482 Loss_D_real: -0.028981 Loss_D_fake -0.008506
[1446/5000][440/535][149260] Loss_D: -0.018895 Loss_G: 0.015448 Loss_D_real: -0.033730 Loss_D_fake -0.014836
[1446/5000][445/535][149261] Loss_D: -0.021611 Loss_G: -0.003204 Loss_D_real: -0.011557 Loss_D_fake 0.010054
[1446/5000][450/535][149262] Loss_D: -0.019009 Loss_G: -0.018882 Loss_D_real: -0.005390 Loss_D_fake 0.013619
[1446/5000][455/535][149263] Loss_D: -0.017808 Loss_G: 0.020117 Loss_D_real: -0.027420 Loss_D_fake -0.009611
[1446/5000][460/535][149264] Loss_D: -0.017975 Loss_G: 0.020843 Loss_D_real: -0.027161 Loss_D_fake -0.009185
[1446/5000][465/535][149265] Loss_D: -0.018688 Loss_G: -0.018416 Loss_D_real: 0.001183 Loss_D_fake 0.019871
[1446/5000][470/535][149266] Loss_D: -0.019975 Loss_G: 0.000586 Loss_D_real: -0.011449 Loss_D_fake 0.008526
[1446/5000][475/535][149267] Loss_D: -0.018765 Loss_G: -0.012738 Loss_D_real: -0.007581 Loss_D_fake 0.011184
[1446/5000][480/535][149268] Loss_D: -0.019365 Loss_G: 0.007845 Loss_D_real: -0.022734 Loss_D_fake -0.003369
[1446/5000][485/535][149269] Loss_D: -0.017155 Loss_G: -0.008534 Loss_D_real: -0.015457 Loss_D_fake 0.001698
[1446/5000][490/535][149270] Loss_D: -0.018864 Loss_G: -0.004154 Loss_D_real: -0.008666 Loss_D_fake 0.010198
[1446/5000][495/535][149271] Loss_D: -0.018891 Loss_G: 0.022560 Loss_D_real: -0.017981 Loss_D_fake 0.000910
[1446/5000][500/535][149272] Loss_D: -0.018768 Loss_G: -0.000420 Loss_D_real: -0.010098 Loss_D_fake 0.008670
[1446/5000][505/535][149273] Loss_D: -0.021126 Loss_G: 0.009317 Loss_D_real: -0.015812 Loss_D_fake 0.005314
[1446/5000][510/535][149274] Loss_D: -0.019329 Loss_G: -0.011444 Loss_D_real: -0.009194 Loss_D_fake 0.010136
[1446/5000][515/535][149275] Loss_D: -0.020269 Loss_G: 0.006017 Loss_D_real: -0.023873 Loss_D_fake -0.003604
[1446/5000][520/535][149276] Loss_D: -0.020048 Loss_G: 0.016648 Loss_D_real: -0.022036 Loss_D_fake -0.001988
[1446/5000][525/535][149277] Loss_D: -0.020593 Loss_G: 0.004491 Loss_D_real: 0.005823 Loss_D_fake 0.026416
[1446/5000][530/535][149278] Loss_D: -0.020386 Loss_G: 0.016209 Loss_D_real: -0.016892 Loss_D_fake 0.003494
[1446/5000][535/535][149279] Loss_D: -0.017959 Loss_G: 0.011335 Loss_D_real: -0.011393 Loss_D_fake 0.006567
[1447/5000][5/535][149280] Loss_D: -0.021086 Loss_G: 0.006802 Loss_D_real: -0.020358 Loss_D_fake 0.000729
[1447/5000][10/535][149281] Loss_D: -0.019180 Loss_G: 0.000801 Loss_D_real: -0.002878 Loss_D_fake 0.016302
[1447/5000][15/535][149282] Loss_D: -0.018136 Loss_G: 0.024115 Loss_D_real: -0.035049 Loss_D_fake -0.016913
[1447/5000][20/535][149283] Loss_D: -0.019916 Loss_G: 0.014208 Loss_D_real: -0.031174 Loss_D_fake -0.011258
[1447/5000][25/535][149284] Loss_D: -0.020192 Loss_G: 0.018948 Loss_D_real: -0.022090 Loss_D_fake -0.001898
[1447/5000][30/535][149285] Loss_D: -0.019915 Loss_G: -0.000939 Loss_D_real: -0.000268 Loss_D_fake 0.019646
[1447/5000][35/535][149286] Loss_D: -0.019653 Loss_G: 0.008750 Loss_D_real: -0.011688 Loss_D_fake 0.007965
[1447/5000][40/535][149287] Loss_D: -0.019602 Loss_G: 0.014612 Loss_D_real: -0.020071 Loss_D_fake -0.000470
[1447/5000][45/535][149288] Loss_D: -0.019311 Loss_G: 0.026097 Loss_D_real: -0.028360 Loss_D_fake -0.009049
[1447/5000][50/535][149289] Loss_D: -0.019253 Loss_G: 0.003236 Loss_D_real: -0.029040 Loss_D_fake -0.009788
[1447/5000][55/535][149290] Loss_D: -0.018841 Loss_G: 0.034403 Loss_D_real: -0.034759 Loss_D_fake -0.015919
[1447/5000][60/535][149291] Loss_D: -0.018958 Loss_G: -0.001457 Loss_D_real: -0.009159 Loss_D_fake 0.009799
[1447/5000][65/535][149292] Loss_D: -0.019725 Loss_G: -0.007832 Loss_D_real: -0.018166 Loss_D_fake 0.001559
[1447/5000][70/535][149293] Loss_D: -0.020397 Loss_G: 0.016594 Loss_D_real: -0.021581 Loss_D_fake -0.001184
[1447/5000][75/535][149294] Loss_D: -0.018458 Loss_G: -0.009046 Loss_D_real: -0.005204 Loss_D_fake 0.013254
[1447/5000][80/535][149295] Loss_D: -0.019960 Loss_G: 0.003237 Loss_D_real: -0.021212 Loss_D_fake -0.001252
[1447/5000][85/535][149296] Loss_D: -0.018958 Loss_G: -0.005696 Loss_D_real: -0.020145 Loss_D_fake -0.001187
[1447/5000][90/535][149297] Loss_D: -0.018117 Loss_G: 0.023526 Loss_D_real: -0.032957 Loss_D_fake -0.014841
[1447/5000][95/535][149298] Loss_D: -0.020082 Loss_G: -0.005910 Loss_D_real: 0.000766 Loss_D_fake 0.020848
[1447/5000][100/535][149299] Loss_D: -0.019624 Loss_G: -0.015646 Loss_D_real: -0.008186 Loss_D_fake 0.011438
[1447/5000][105/535][149300] Loss_D: -0.019275 Loss_G: 0.032852 Loss_D_real: -0.031629 Loss_D_fake -0.012353
[1447/5000][110/535][149301] Loss_D: -0.020079 Loss_G: 0.010083 Loss_D_real: -0.021042 Loss_D_fake -0.000963
[1447/5000][115/535][149302] Loss_D: -0.021683 Loss_G: 0.006815 Loss_D_real: -0.020811 Loss_D_fake 0.000872
[1447/5000][120/535][149303] Loss_D: -0.019114 Loss_G: 0.007269 Loss_D_real: -0.012722 Loss_D_fake 0.006392
[1447/5000][125/535][149304] Loss_D: -0.020535 Loss_G: -0.001637 Loss_D_real: 0.001066 Loss_D_fake 0.021600
[1447/5000][130/535][149305] Loss_D: -0.020776 Loss_G: -0.003289 Loss_D_real: -0.002279 Loss_D_fake 0.018497
[1447/5000][135/535][149306] Loss_D: -0.020553 Loss_G: 0.005900 Loss_D_real: -0.023884 Loss_D_fake -0.003331
[1447/5000][140/535][149307] Loss_D: -0.021079 Loss_G: 0.024657 Loss_D_real: -0.034095 Loss_D_fake -0.013016
[1447/5000][145/535][149308] Loss_D: -0.018932 Loss_G: 0.007185 Loss_D_real: -0.015537 Loss_D_fake 0.003395
[1447/5000][150/535][149309] Loss_D: -0.020060 Loss_G: 0.006989 Loss_D_real: -0.024222 Loss_D_fake -0.004162
[1447/5000][155/535][149310] Loss_D: -0.017644 Loss_G: 0.022679 Loss_D_real: -0.031919 Loss_D_fake -0.014275
[1447/5000][160/535][149311] Loss_D: -0.020457 Loss_G: 0.014376 Loss_D_real: -0.018195 Loss_D_fake 0.002262
[1447/5000][165/535][149312] Loss_D: -0.018949 Loss_G: -0.008855 Loss_D_real: -0.005539 Loss_D_fake 0.013411
[1447/5000][170/535][149313] Loss_D: -0.020252 Loss_G: 0.009616 Loss_D_real: -0.013836 Loss_D_fake 0.006416
[1447/5000][175/535][149314] Loss_D: -0.018776 Loss_G: -0.001273 Loss_D_real: -0.012553 Loss_D_fake 0.006223
[1447/5000][180/535][149315] Loss_D: -0.020129 Loss_G: 0.035368 Loss_D_real: -0.029960 Loss_D_fake -0.009831
[1447/5000][185/535][149316] Loss_D: -0.019965 Loss_G: -0.008633 Loss_D_real: -0.003874 Loss_D_fake 0.016091
[1447/5000][190/535][149317] Loss_D: -0.020366 Loss_G: 0.009852 Loss_D_real: -0.014142 Loss_D_fake 0.006224
[1447/5000][195/535][149318] Loss_D: -0.021082 Loss_G: 0.011100 Loss_D_real: -0.016696 Loss_D_fake 0.004386
[1447/5000][200/535][149319] Loss_D: -0.018188 Loss_G: 0.026783 Loss_D_real: -0.027028 Loss_D_fake -0.008840
[1447/5000][205/535][149320] Loss_D: -0.019632 Loss_G: 0.012463 Loss_D_real: -0.017858 Loss_D_fake 0.001774
[1447/5000][210/535][149321] Loss_D: -0.019353 Loss_G: 0.004761 Loss_D_real: -0.022293 Loss_D_fake -0.002940
[1447/5000][215/535][149322] Loss_D: -0.020317 Loss_G: 0.006334 Loss_D_real: -0.024694 Loss_D_fake -0.004376
[1447/5000][220/535][149323] Loss_D: -0.021930 Loss_G: 0.006718 Loss_D_real: -0.017874 Loss_D_fake 0.004056
[1447/5000][225/535][149324] Loss_D: -0.020626 Loss_G: 0.010727 Loss_D_real: -0.023905 Loss_D_fake -0.003279
[1447/5000][230/535][149325] Loss_D: -0.019498 Loss_G: 0.017455 Loss_D_real: -0.029560 Loss_D_fake -0.010062
[1447/5000][235/535][149326] Loss_D: -0.020199 Loss_G: 0.005375 Loss_D_real: -0.003969 Loss_D_fake 0.016230
[1447/5000][240/535][149327] Loss_D: -0.021190 Loss_G: 0.010582 Loss_D_real: -0.019727 Loss_D_fake 0.001463
[1447/5000][245/535][149328] Loss_D: -0.020099 Loss_G: 0.011209 Loss_D_real: -0.025263 Loss_D_fake -0.005163
[1447/5000][250/535][149329] Loss_D: -0.021517 Loss_G: 0.014649 Loss_D_real: -0.018897 Loss_D_fake 0.002620
[1447/5000][255/535][149330] Loss_D: -0.018910 Loss_G: 0.006833 Loss_D_real: -0.002758 Loss_D_fake 0.016151
[1447/5000][260/535][149331] Loss_D: -0.019605 Loss_G: 0.006148 Loss_D_real: -0.011554 Loss_D_fake 0.008051
[1447/5000][265/535][149332] Loss_D: -0.021213 Loss_G: 0.005143 Loss_D_real: -0.020793 Loss_D_fake 0.000420
[1447/5000][270/535][149333] Loss_D: -0.020411 Loss_G: 0.009586 Loss_D_real: -0.020902 Loss_D_fake -0.000492
[1447/5000][275/535][149334] Loss_D: -0.020501 Loss_G: 0.007882 Loss_D_real: -0.015444 Loss_D_fake 0.005057
[1447/5000][280/535][149335] Loss_D: -0.020867 Loss_G: 0.028568 Loss_D_real: -0.029228 Loss_D_fake -0.008361
[1447/5000][285/535][149336] Loss_D: -0.019617 Loss_G: -0.000021 Loss_D_real: -0.012615 Loss_D_fake 0.007002
[1447/5000][290/535][149337] Loss_D: -0.019519 Loss_G: -0.008048 Loss_D_real: -0.002726 Loss_D_fake 0.016793
[1447/5000][295/535][149338] Loss_D: -0.019620 Loss_G: 0.010863 Loss_D_real: -0.021767 Loss_D_fake -0.002147
[1447/5000][300/535][149339] Loss_D: -0.018914 Loss_G: 0.017063 Loss_D_real: -0.017936 Loss_D_fake 0.000978
[1447/5000][305/535][149340] Loss_D: -0.018569 Loss_G: -0.013055 Loss_D_real: 0.003344 Loss_D_fake 0.021914
[1447/5000][310/535][149341] Loss_D: -0.019268 Loss_G: 0.015473 Loss_D_real: -0.028636 Loss_D_fake -0.009368
[1447/5000][315/535][149342] Loss_D: -0.018719 Loss_G: 0.005026 Loss_D_real: -0.011998 Loss_D_fake 0.006720
[1447/5000][320/535][149343] Loss_D: -0.020143 Loss_G: 0.004183 Loss_D_real: -0.010985 Loss_D_fake 0.009158
[1447/5000][325/535][149344] Loss_D: -0.018158 Loss_G: 0.019008 Loss_D_real: -0.026360 Loss_D_fake -0.008202
[1447/5000][330/535][149345] Loss_D: -0.021690 Loss_G: 0.011987 Loss_D_real: -0.015394 Loss_D_fake 0.006295
[1447/5000][335/535][149346] Loss_D: -0.018611 Loss_G: 0.018966 Loss_D_real: -0.029971 Loss_D_fake -0.011361
[1447/5000][340/535][149347] Loss_D: -0.019709 Loss_G: 0.031172 Loss_D_real: -0.022399 Loss_D_fake -0.002690
[1447/5000][345/535][149348] Loss_D: -0.020600 Loss_G: 0.001716 Loss_D_real: -0.010098 Loss_D_fake 0.010502
[1447/5000][350/535][149349] Loss_D: -0.019810 Loss_G: 0.019412 Loss_D_real: -0.033172 Loss_D_fake -0.013362
[1447/5000][355/535][149350] Loss_D: -0.020051 Loss_G: 0.026697 Loss_D_real: -0.016336 Loss_D_fake 0.003715
[1447/5000][360/535][149351] Loss_D: -0.020748 Loss_G: 0.007203 Loss_D_real: -0.031700 Loss_D_fake -0.010952
[1447/5000][365/535][149352] Loss_D: -0.019047 Loss_G: 0.008444 Loss_D_real: -0.028277 Loss_D_fake -0.009229
[1447/5000][370/535][149353] Loss_D: -0.018404 Loss_G: 0.036905 Loss_D_real: -0.026790 Loss_D_fake -0.008385
[1447/5000][375/535][149354] Loss_D: -0.019021 Loss_G: -0.015247 Loss_D_real: 0.000600 Loss_D_fake 0.019621
[1447/5000][380/535][149355] Loss_D: -0.019551 Loss_G: 0.001586 Loss_D_real: -0.020224 Loss_D_fake -0.000672
[1447/5000][385/535][149356] Loss_D: -0.020551 Loss_G: 0.014619 Loss_D_real: -0.026144 Loss_D_fake -0.005593
[1447/5000][390/535][149357] Loss_D: -0.020222 Loss_G: -0.003518 Loss_D_real: -0.005537 Loss_D_fake 0.014685
[1447/5000][395/535][149358] Loss_D: -0.020573 Loss_G: 0.019867 Loss_D_real: -0.034771 Loss_D_fake -0.014198
[1447/5000][400/535][149359] Loss_D: -0.019864 Loss_G: -0.012650 Loss_D_real: -0.008850 Loss_D_fake 0.011014
[1447/5000][405/535][149360] Loss_D: -0.019656 Loss_G: 0.014099 Loss_D_real: -0.028884 Loss_D_fake -0.009228
[1447/5000][410/535][149361] Loss_D: -0.020594 Loss_G: -0.001598 Loss_D_real: -0.005922 Loss_D_fake 0.014672
[1447/5000][415/535][149362] Loss_D: -0.019065 Loss_G: 0.008255 Loss_D_real: -0.026580 Loss_D_fake -0.007515
[1447/5000][420/535][149363] Loss_D: -0.019513 Loss_G: 0.001781 Loss_D_real: -0.016097 Loss_D_fake 0.003415
[1447/5000][425/535][149364] Loss_D: -0.021519 Loss_G: -0.016850 Loss_D_real: -0.009670 Loss_D_fake 0.011849
[1447/5000][430/535][149365] Loss_D: -0.019094 Loss_G: -0.004847 Loss_D_real: -0.013660 Loss_D_fake 0.005434
[1447/5000][435/535][149366] Loss_D: -0.019196 Loss_G: 0.013652 Loss_D_real: -0.013133 Loss_D_fake 0.006064
[1447/5000][440/535][149367] Loss_D: -0.019414 Loss_G: 0.016901 Loss_D_real: -0.016171 Loss_D_fake 0.003243
[1447/5000][445/535][149368] Loss_D: -0.019357 Loss_G: 0.021838 Loss_D_real: -0.023926 Loss_D_fake -0.004569
[1447/5000][450/535][149369] Loss_D: -0.018185 Loss_G: 0.014223 Loss_D_real: -0.033610 Loss_D_fake -0.015425
[1447/5000][455/535][149370] Loss_D: -0.019006 Loss_G: -0.018246 Loss_D_real: -0.006693 Loss_D_fake 0.012313
[1447/5000][460/535][149371] Loss_D: -0.019751 Loss_G: -0.012465 Loss_D_real: -0.007748 Loss_D_fake 0.012004
[1447/5000][465/535][149372] Loss_D: -0.019141 Loss_G: -0.005626 Loss_D_real: -0.012059 Loss_D_fake 0.007083
[1447/5000][470/535][149373] Loss_D: -0.020483 Loss_G: 0.015831 Loss_D_real: -0.016472 Loss_D_fake 0.004011
[1447/5000][475/535][149374] Loss_D: -0.019856 Loss_G: -0.005137 Loss_D_real: -0.014434 Loss_D_fake 0.005422
[1447/5000][480/535][149375] Loss_D: -0.020433 Loss_G: 0.001148 Loss_D_real: -0.027378 Loss_D_fake -0.006945
[1447/5000][485/535][149376] Loss_D: -0.019891 Loss_G: 0.011997 Loss_D_real: -0.012995 Loss_D_fake 0.006896
[1447/5000][490/535][149377] Loss_D: -0.017899 Loss_G: -0.008883 Loss_D_real: 0.005353 Loss_D_fake 0.023251
[1447/5000][495/535][149378] Loss_D: -0.020432 Loss_G: 0.001445 Loss_D_real: -0.016413 Loss_D_fake 0.004018
[1447/5000][500/535][149379] Loss_D: -0.019979 Loss_G: 0.006190 Loss_D_real: -0.019722 Loss_D_fake 0.000257
[1447/5000][505/535][149380] Loss_D: -0.019471 Loss_G: 0.030857 Loss_D_real: -0.020097 Loss_D_fake -0.000626
[1447/5000][510/535][149381] Loss_D: -0.019925 Loss_G: -0.003990 Loss_D_real: -0.019263 Loss_D_fake 0.000663
[1447/5000][515/535][149382] Loss_D: -0.021839 Loss_G: 0.005106 Loss_D_real: -0.005628 Loss_D_fake 0.016211
[1447/5000][520/535][149383] Loss_D: -0.020101 Loss_G: 0.006112 Loss_D_real: -0.013023 Loss_D_fake 0.007078
[1447/5000][525/535][149384] Loss_D: -0.020406 Loss_G: 0.009750 Loss_D_real: -0.023592 Loss_D_fake -0.003187
[1447/5000][530/535][149385] Loss_D: -0.021274 Loss_G: 0.004682 Loss_D_real: -0.020726 Loss_D_fake 0.000548
[1447/5000][535/535][149386] Loss_D: -0.019133 Loss_G: 0.005375 Loss_D_real: -0.005866 Loss_D_fake 0.013268
[1448/5000][5/535][149387] Loss_D: -0.020433 Loss_G: -0.001103 Loss_D_real: -0.015192 Loss_D_fake 0.005241
[1448/5000][10/535][149388] Loss_D: -0.021019 Loss_G: 0.015285 Loss_D_real: -0.023399 Loss_D_fake -0.002380
[1448/5000][15/535][149389] Loss_D: -0.020706 Loss_G: -0.000960 Loss_D_real: -0.001038 Loss_D_fake 0.019668
[1448/5000][20/535][149390] Loss_D: -0.021450 Loss_G: 0.023479 Loss_D_real: -0.027734 Loss_D_fake -0.006284
[1448/5000][25/535][149391] Loss_D: -0.021508 Loss_G: 0.007525 Loss_D_real: -0.047976 Loss_D_fake -0.026468
[1448/5000][30/535][149392] Loss_D: -0.019893 Loss_G: 0.012639 Loss_D_real: -0.016457 Loss_D_fake 0.003436
[1448/5000][35/535][149393] Loss_D: -0.021543 Loss_G: 0.015981 Loss_D_real: -0.018502 Loss_D_fake 0.003041
[1448/5000][40/535][149394] Loss_D: -0.019765 Loss_G: 0.018694 Loss_D_real: -0.019710 Loss_D_fake 0.000055
[1448/5000][45/535][149395] Loss_D: -0.021334 Loss_G: 0.013199 Loss_D_real: -0.008504 Loss_D_fake 0.012830
[1448/5000][50/535][149396] Loss_D: -0.020472 Loss_G: 0.000630 Loss_D_real: -0.019445 Loss_D_fake 0.001026
[1448/5000][55/535][149397] Loss_D: -0.021816 Loss_G: 0.016122 Loss_D_real: -0.013597 Loss_D_fake 0.008219
[1448/5000][60/535][149398] Loss_D: -0.019943 Loss_G: 0.001371 Loss_D_real: -0.001690 Loss_D_fake 0.018252
[1448/5000][65/535][149399] Loss_D: -0.020041 Loss_G: 0.005345 Loss_D_real: -0.013805 Loss_D_fake 0.006236
[1448/5000][70/535][149400] Loss_D: -0.019412 Loss_G: -0.007636 Loss_D_real: 0.003566 Loss_D_fake 0.022978
[1448/5000][75/535][149401] Loss_D: -0.020904 Loss_G: 0.017774 Loss_D_real: -0.021105 Loss_D_fake -0.000201
[1448/5000][80/535][149402] Loss_D: -0.021608 Loss_G: -0.017488 Loss_D_real: -0.001881 Loss_D_fake 0.019726
[1448/5000][85/535][149403] Loss_D: -0.020129 Loss_G: 0.020039 Loss_D_real: -0.025576 Loss_D_fake -0.005447
[1448/5000][90/535][149404] Loss_D: -0.020101 Loss_G: -0.007264 Loss_D_real: -0.014651 Loss_D_fake 0.005450
[1448/5000][95/535][149405] Loss_D: -0.019691 Loss_G: 0.015780 Loss_D_real: -0.015274 Loss_D_fake 0.004416
[1448/5000][100/535][149406] Loss_D: -0.020806 Loss_G: 0.017126 Loss_D_real: -0.022003 Loss_D_fake -0.001196
[1448/5000][105/535][149407] Loss_D: -0.020509 Loss_G: 0.002457 Loss_D_real: -0.008499 Loss_D_fake 0.012010
[1448/5000][110/535][149408] Loss_D: -0.018881 Loss_G: -0.000995 Loss_D_real: -0.014840 Loss_D_fake 0.004041
[1448/5000][115/535][149409] Loss_D: -0.019329 Loss_G: 0.012637 Loss_D_real: -0.019079 Loss_D_fake 0.000250
[1448/5000][120/535][149410] Loss_D: -0.018277 Loss_G: -0.022858 Loss_D_real: -0.001152 Loss_D_fake 0.017125
[1448/5000][125/535][149411] Loss_D: -0.020908 Loss_G: 0.010241 Loss_D_real: -0.017815 Loss_D_fake 0.003093
[1448/5000][130/535][149412] Loss_D: -0.020076 Loss_G: 0.003923 Loss_D_real: -0.008935 Loss_D_fake 0.011141
[1448/5000][135/535][149413] Loss_D: -0.019667 Loss_G: 0.014072 Loss_D_real: -0.028741 Loss_D_fake -0.009074
[1448/5000][140/535][149414] Loss_D: -0.019572 Loss_G: 0.001942 Loss_D_real: -0.009101 Loss_D_fake 0.010471
[1448/5000][145/535][149415] Loss_D: -0.019693 Loss_G: 0.035631 Loss_D_real: -0.027746 Loss_D_fake -0.008053
[1448/5000][150/535][149416] Loss_D: -0.018308 Loss_G: -0.015565 Loss_D_real: -0.008913 Loss_D_fake 0.009396
[1448/5000][155/535][149417] Loss_D: -0.018294 Loss_G: -0.002648 Loss_D_real: -0.006277 Loss_D_fake 0.012017
[1448/5000][160/535][149418] Loss_D: -0.019880 Loss_G: -0.017382 Loss_D_real: -0.007066 Loss_D_fake 0.012814
[1448/5000][165/535][149419] Loss_D: -0.019853 Loss_G: 0.029166 Loss_D_real: -0.025599 Loss_D_fake -0.005746
[1448/5000][170/535][149420] Loss_D: -0.017287 Loss_G: -0.011850 Loss_D_real: 0.001432 Loss_D_fake 0.018719
[1448/5000][175/535][149421] Loss_D: -0.018317 Loss_G: 0.008884 Loss_D_real: -0.008953 Loss_D_fake 0.009364
[1448/5000][180/535][149422] Loss_D: -0.016817 Loss_G: 0.018979 Loss_D_real: -0.025700 Loss_D_fake -0.008883
[1448/5000][185/535][149423] Loss_D: -0.019395 Loss_G: 0.027434 Loss_D_real: -0.014518 Loss_D_fake 0.004877
[1448/5000][190/535][149424] Loss_D: -0.021087 Loss_G: 0.008275 Loss_D_real: -0.011915 Loss_D_fake 0.009172
[1448/5000][195/535][149425] Loss_D: -0.019488 Loss_G: 0.014197 Loss_D_real: -0.021382 Loss_D_fake -0.001894
[1448/5000][200/535][149426] Loss_D: -0.020607 Loss_G: 0.010418 Loss_D_real: -0.012329 Loss_D_fake 0.008278
[1448/5000][205/535][149427] Loss_D: -0.020514 Loss_G: -0.006465 Loss_D_real: 0.006634 Loss_D_fake 0.027148
[1448/5000][210/535][149428] Loss_D: -0.020931 Loss_G: 0.009112 Loss_D_real: -0.017803 Loss_D_fake 0.003128
[1448/5000][215/535][149429] Loss_D: -0.021168 Loss_G: 0.003370 Loss_D_real: -0.024938 Loss_D_fake -0.003770
[1448/5000][220/535][149430] Loss_D: -0.020230 Loss_G: -0.012448 Loss_D_real: -0.003505 Loss_D_fake 0.016725
[1448/5000][225/535][149431] Loss_D: -0.023161 Loss_G: 0.008968 Loss_D_real: -0.016677 Loss_D_fake 0.006483
[1448/5000][230/535][149432] Loss_D: -0.020556 Loss_G: -0.010443 Loss_D_real: -0.008231 Loss_D_fake 0.012325
[1448/5000][235/535][149433] Loss_D: -0.019530 Loss_G: -0.005618 Loss_D_real: -0.004114 Loss_D_fake 0.015416
[1448/5000][240/535][149434] Loss_D: -0.020216 Loss_G: 0.011193 Loss_D_real: -0.018509 Loss_D_fake 0.001707
[1448/5000][245/535][149435] Loss_D: -0.020813 Loss_G: 0.006034 Loss_D_real: -0.002509 Loss_D_fake 0.018304
[1448/5000][250/535][149436] Loss_D: -0.019892 Loss_G: -0.007637 Loss_D_real: 0.002579 Loss_D_fake 0.022471
[1448/5000][255/535][149437] Loss_D: -0.019661 Loss_G: 0.018061 Loss_D_real: -0.025537 Loss_D_fake -0.005876
[1448/5000][260/535][149438] Loss_D: -0.019637 Loss_G: 0.005883 Loss_D_real: -0.015024 Loss_D_fake 0.004613
[1448/5000][265/535][149439] Loss_D: -0.019064 Loss_G: -0.008162 Loss_D_real: -0.012052 Loss_D_fake 0.007012
[1448/5000][270/535][149440] Loss_D: -0.019205 Loss_G: 0.006753 Loss_D_real: -0.003663 Loss_D_fake 0.015541
[1448/5000][275/535][149441] Loss_D: -0.019021 Loss_G: 0.010628 Loss_D_real: -0.019574 Loss_D_fake -0.000553
[1448/5000][280/535][149442] Loss_D: -0.021014 Loss_G: -0.009819 Loss_D_real: -0.008199 Loss_D_fake 0.012816
[1448/5000][285/535][149443] Loss_D: -0.020839 Loss_G: 0.002516 Loss_D_real: -0.019257 Loss_D_fake 0.001581
[1448/5000][290/535][149444] Loss_D: -0.020109 Loss_G: 0.012928 Loss_D_real: -0.019366 Loss_D_fake 0.000743
[1448/5000][295/535][149445] Loss_D: -0.019762 Loss_G: -0.001084 Loss_D_real: -0.013957 Loss_D_fake 0.005805
[1448/5000][300/535][149446] Loss_D: -0.021386 Loss_G: 0.018683 Loss_D_real: -0.021478 Loss_D_fake -0.000091
[1448/5000][305/535][149447] Loss_D: -0.019229 Loss_G: -0.015063 Loss_D_real: 0.001139 Loss_D_fake 0.020368
[1448/5000][310/535][149448] Loss_D: -0.018520 Loss_G: -0.001831 Loss_D_real: -0.015739 Loss_D_fake 0.002781
[1448/5000][315/535][149449] Loss_D: -0.020534 Loss_G: 0.000397 Loss_D_real: -0.021012 Loss_D_fake -0.000478
[1448/5000][320/535][149450] Loss_D: -0.020109 Loss_G: 0.028864 Loss_D_real: -0.022482 Loss_D_fake -0.002373
[1448/5000][325/535][149451] Loss_D: -0.020578 Loss_G: 0.006767 Loss_D_real: -0.011431 Loss_D_fake 0.009147
[1448/5000][330/535][149452] Loss_D: -0.020179 Loss_G: 0.013056 Loss_D_real: -0.021878 Loss_D_fake -0.001698
[1448/5000][335/535][149453] Loss_D: -0.020329 Loss_G: -0.001165 Loss_D_real: -0.020147 Loss_D_fake 0.000182
[1448/5000][340/535][149454] Loss_D: -0.021020 Loss_G: 0.014687 Loss_D_real: -0.015859 Loss_D_fake 0.005161
[1448/5000][345/535][149455] Loss_D: -0.020313 Loss_G: 0.005338 Loss_D_real: -0.022187 Loss_D_fake -0.001874
[1448/5000][350/535][149456] Loss_D: -0.020966 Loss_G: 0.022635 Loss_D_real: -0.021868 Loss_D_fake -0.000902
[1448/5000][355/535][149457] Loss_D: -0.018977 Loss_G: 0.033958 Loss_D_real: -0.029123 Loss_D_fake -0.010146
[1448/5000][360/535][149458] Loss_D: -0.018498 Loss_G: -0.009499 Loss_D_real: -0.000278 Loss_D_fake 0.018220
[1448/5000][365/535][149459] Loss_D: -0.019669 Loss_G: 0.020361 Loss_D_real: -0.018562 Loss_D_fake 0.001106
[1448/5000][370/535][149460] Loss_D: -0.019293 Loss_G: -0.008522 Loss_D_real: -0.016257 Loss_D_fake 0.003036
[1448/5000][375/535][149461] Loss_D: -0.019832 Loss_G: 0.000658 Loss_D_real: -0.027021 Loss_D_fake -0.007189
[1448/5000][380/535][149462] Loss_D: -0.019173 Loss_G: 0.023041 Loss_D_real: -0.024591 Loss_D_fake -0.005418
[1448/5000][385/535][149463] Loss_D: -0.018859 Loss_G: 0.017843 Loss_D_real: -0.023333 Loss_D_fake -0.004474
[1448/5000][390/535][149464] Loss_D: -0.018535 Loss_G: 0.020064 Loss_D_real: -0.029029 Loss_D_fake -0.010494
[1448/5000][395/535][149465] Loss_D: -0.017562 Loss_G: 0.004928 Loss_D_real: -0.019924 Loss_D_fake -0.002362
[1448/5000][400/535][149466] Loss_D: -0.019927 Loss_G: -0.005115 Loss_D_real: -0.009256 Loss_D_fake 0.010670
[1448/5000][405/535][149467] Loss_D: -0.018471 Loss_G: 0.020801 Loss_D_real: -0.020505 Loss_D_fake -0.002034
[1448/5000][410/535][149468] Loss_D: -0.018350 Loss_G: -0.020245 Loss_D_real: -0.001398 Loss_D_fake 0.016952
[1448/5000][415/535][149469] Loss_D: -0.019465 Loss_G: -0.014804 Loss_D_real: -0.009952 Loss_D_fake 0.009513
[1448/5000][420/535][149470] Loss_D: -0.019231 Loss_G: -0.000949 Loss_D_real: -0.003792 Loss_D_fake 0.015439
[1448/5000][425/535][149471] Loss_D: -0.019632 Loss_G: -0.001241 Loss_D_real: -0.014380 Loss_D_fake 0.005252
[1448/5000][430/535][149472] Loss_D: -0.019734 Loss_G: -0.003272 Loss_D_real: -0.001841 Loss_D_fake 0.017893
[1448/5000][435/535][149473] Loss_D: -0.019579 Loss_G: 0.010677 Loss_D_real: -0.009948 Loss_D_fake 0.009631
[1448/5000][440/535][149474] Loss_D: -0.019863 Loss_G: -0.001400 Loss_D_real: 0.011209 Loss_D_fake 0.031072
[1448/5000][445/535][149475] Loss_D: -0.019331 Loss_G: 0.006849 Loss_D_real: -0.027058 Loss_D_fake -0.007726
[1448/5000][450/535][149476] Loss_D: -0.019888 Loss_G: 0.012616 Loss_D_real: -0.022330 Loss_D_fake -0.002442
[1448/5000][455/535][149477] Loss_D: -0.019144 Loss_G: -0.016163 Loss_D_real: -0.003705 Loss_D_fake 0.015440
[1448/5000][460/535][149478] Loss_D: -0.021017 Loss_G: 0.009264 Loss_D_real: -0.011268 Loss_D_fake 0.009749
[1448/5000][465/535][149479] Loss_D: -0.020734 Loss_G: 0.023209 Loss_D_real: -0.028700 Loss_D_fake -0.007967
[1448/5000][470/535][149480] Loss_D: -0.019828 Loss_G: 0.002607 Loss_D_real: -0.012927 Loss_D_fake 0.006902
[1448/5000][475/535][149481] Loss_D: -0.020758 Loss_G: 0.007782 Loss_D_real: -0.009708 Loss_D_fake 0.011050
[1448/5000][480/535][149482] Loss_D: -0.020260 Loss_G: -0.009806 Loss_D_real: 0.006910 Loss_D_fake 0.027170
[1448/5000][485/535][149483] Loss_D: -0.018868 Loss_G: 0.020150 Loss_D_real: -0.020539 Loss_D_fake -0.001670
[1448/5000][490/535][149484] Loss_D: -0.020551 Loss_G: 0.001949 Loss_D_real: -0.012058 Loss_D_fake 0.008494
[1448/5000][495/535][149485] Loss_D: -0.019521 Loss_G: 0.000093 Loss_D_real: -0.005626 Loss_D_fake 0.013896
[1448/5000][500/535][149486] Loss_D: -0.020558 Loss_G: -0.003650 Loss_D_real: -0.005302 Loss_D_fake 0.015256
[1448/5000][505/535][149487] Loss_D: -0.019319 Loss_G: -0.004991 Loss_D_real: -0.010252 Loss_D_fake 0.009068
[1448/5000][510/535][149488] Loss_D: -0.020690 Loss_G: 0.023324 Loss_D_real: -0.030566 Loss_D_fake -0.009877
[1448/5000][515/535][149489] Loss_D: -0.020570 Loss_G: 0.004550 Loss_D_real: -0.013498 Loss_D_fake 0.007072
[1448/5000][520/535][149490] Loss_D: -0.021469 Loss_G: 0.014922 Loss_D_real: -0.010025 Loss_D_fake 0.011444
[1448/5000][525/535][149491] Loss_D: -0.020116 Loss_G: 0.001545 Loss_D_real: -0.011403 Loss_D_fake 0.008713
[1448/5000][530/535][149492] Loss_D: -0.018938 Loss_G: 0.002024 Loss_D_real: -0.013929 Loss_D_fake 0.005010
[1448/5000][535/535][149493] Loss_D: -0.017150 Loss_G: 0.025215 Loss_D_real: -0.031815 Loss_D_fake -0.014664
[1449/5000][5/535][149494] Loss_D: -0.019899 Loss_G: -0.015408 Loss_D_real: -0.015435 Loss_D_fake 0.004464
[1449/5000][10/535][149495] Loss_D: -0.020556 Loss_G: -0.005623 Loss_D_real: -0.026356 Loss_D_fake -0.005800
[1449/5000][15/535][149496] Loss_D: -0.020474 Loss_G: 0.030400 Loss_D_real: -0.024135 Loss_D_fake -0.003661
[1449/5000][20/535][149497] Loss_D: -0.019904 Loss_G: 0.024439 Loss_D_real: -0.027491 Loss_D_fake -0.007587
[1449/5000][25/535][149498] Loss_D: -0.019959 Loss_G: 0.020739 Loss_D_real: -0.029485 Loss_D_fake -0.009526
[1449/5000][30/535][149499] Loss_D: -0.020476 Loss_G: 0.020302 Loss_D_real: -0.013498 Loss_D_fake 0.006979
[1449/5000][35/535][149500] Loss_D: -0.018464 Loss_G: 0.026860 Loss_D_real: -0.033070 Loss_D_fake -0.014607
[1449/5000][135/535][149501] Loss_D: -0.021191 Loss_G: -0.007546 Loss_D_real: -0.003441 Loss_D_fake 0.017750
[1449/5000][140/535][149502] Loss_D: -0.018986 Loss_G: 0.004826 Loss_D_real: -0.027559 Loss_D_fake -0.008573
[1449/5000][145/535][149503] Loss_D: -0.017681 Loss_G: -0.008315 Loss_D_real: -0.012534 Loss_D_fake 0.005147
[1449/5000][150/535][149504] Loss_D: -0.019292 Loss_G: 0.024657 Loss_D_real: -0.022897 Loss_D_fake -0.003604
[1449/5000][155/535][149505] Loss_D: -0.021295 Loss_G: 0.017489 Loss_D_real: -0.025044 Loss_D_fake -0.003750
[1449/5000][160/535][149506] Loss_D: -0.020723 Loss_G: 0.007957 Loss_D_real: -0.026106 Loss_D_fake -0.005384
[1449/5000][165/535][149507] Loss_D: -0.021150 Loss_G: 0.008569 Loss_D_real: -0.007277 Loss_D_fake 0.013872
[1449/5000][170/535][149508] Loss_D: -0.019359 Loss_G: -0.011399 Loss_D_real: -0.014463 Loss_D_fake 0.004896
[1449/5000][175/535][149509] Loss_D: -0.020472 Loss_G: 0.003281 Loss_D_real: -0.018097 Loss_D_fake 0.002375
[1449/5000][180/535][149510] Loss_D: -0.019623 Loss_G: 0.020270 Loss_D_real: -0.029397 Loss_D_fake -0.009774
[1449/5000][185/535][149511] Loss_D: -0.020417 Loss_G: 0.005112 Loss_D_real: -0.012791 Loss_D_fake 0.007626
[1449/5000][190/535][149512] Loss_D: -0.019416 Loss_G: 0.015989 Loss_D_real: -0.019386 Loss_D_fake 0.000030
[1449/5000][195/535][149513] Loss_D: -0.020407 Loss_G: -0.011143 Loss_D_real: -0.012803 Loss_D_fake 0.007603
[1449/5000][200/535][149514] Loss_D: -0.021900 Loss_G: 0.004169 Loss_D_real: -0.009877 Loss_D_fake 0.012023
[1449/5000][205/535][149515] Loss_D: -0.020749 Loss_G: 0.017396 Loss_D_real: -0.017616 Loss_D_fake 0.003132
[1449/5000][210/535][149516] Loss_D: -0.020135 Loss_G: -0.015874 Loss_D_real: -0.005952 Loss_D_fake 0.014183
[1449/5000][215/535][149517] Loss_D: -0.019679 Loss_G: -0.005716 Loss_D_real: -0.002717 Loss_D_fake 0.016962
[1449/5000][220/535][149518] Loss_D: -0.019777 Loss_G: -0.014963 Loss_D_real: -0.003852 Loss_D_fake 0.015925
[1449/5000][225/535][149519] Loss_D: -0.019135 Loss_G: 0.016856 Loss_D_real: -0.025325 Loss_D_fake -0.006190
[1449/5000][230/535][149520] Loss_D: -0.020316 Loss_G: 0.003210 Loss_D_real: -0.020514 Loss_D_fake -0.000198
[1449/5000][235/535][149521] Loss_D: -0.018857 Loss_G: 0.022279 Loss_D_real: -0.031762 Loss_D_fake -0.012904
[1449/5000][240/535][149522] Loss_D: -0.019656 Loss_G: 0.013771 Loss_D_real: -0.015458 Loss_D_fake 0.004197
[1449/5000][245/535][149523] Loss_D: -0.017193 Loss_G: 0.021575 Loss_D_real: -0.032525 Loss_D_fake -0.015332
[1449/5000][250/535][149524] Loss_D: -0.020616 Loss_G: -0.022517 Loss_D_real: -0.006915 Loss_D_fake 0.013701
[1449/5000][255/535][149525] Loss_D: -0.019866 Loss_G: 0.014194 Loss_D_real: -0.011593 Loss_D_fake 0.008272
[1449/5000][260/535][149526] Loss_D: -0.019514 Loss_G: 0.009115 Loss_D_real: -0.011236 Loss_D_fake 0.008278
[1449/5000][265/535][149527] Loss_D: -0.020167 Loss_G: 0.013768 Loss_D_real: -0.022579 Loss_D_fake -0.002412
[1449/5000][270/535][149528] Loss_D: -0.019289 Loss_G: -0.016856 Loss_D_real: 0.001405 Loss_D_fake 0.020694
[1449/5000][275/535][149529] Loss_D: -0.019714 Loss_G: 0.005167 Loss_D_real: -0.018925 Loss_D_fake 0.000789
[1449/5000][280/535][149530] Loss_D: -0.020380 Loss_G: -0.000725 Loss_D_real: -0.027264 Loss_D_fake -0.006884
[1449/5000][285/535][149531] Loss_D: -0.020101 Loss_G: 0.002644 Loss_D_real: -0.013624 Loss_D_fake 0.006477
[1449/5000][290/535][149532] Loss_D: -0.019325 Loss_G: 0.020597 Loss_D_real: -0.023140 Loss_D_fake -0.003815
[1449/5000][295/535][149533] Loss_D: -0.019911 Loss_G: -0.009084 Loss_D_real: -0.016232 Loss_D_fake 0.003679
[1449/5000][300/535][149534] Loss_D: -0.019768 Loss_G: 0.010167 Loss_D_real: -0.024497 Loss_D_fake -0.004729
[1449/5000][305/535][149535] Loss_D: -0.019869 Loss_G: 0.002699 Loss_D_real: 0.002629 Loss_D_fake 0.022498
[1449/5000][310/535][149536] Loss_D: -0.021151 Loss_G: 0.008275 Loss_D_real: -0.012600 Loss_D_fake 0.008552
[1449/5000][315/535][149537] Loss_D: -0.019868 Loss_G: 0.005029 Loss_D_real: 0.007789 Loss_D_fake 0.027657
[1449/5000][320/535][149538] Loss_D: -0.020548 Loss_G: 0.006938 Loss_D_real: -0.019840 Loss_D_fake 0.000709
[1449/5000][325/535][149539] Loss_D: -0.018483 Loss_G: 0.004360 Loss_D_real: -0.018728 Loss_D_fake -0.000245
[1449/5000][330/535][149540] Loss_D: -0.019627 Loss_G: -0.004449 Loss_D_real: -0.012396 Loss_D_fake 0.007231
[1449/5000][335/535][149541] Loss_D: -0.021017 Loss_G: 0.013280 Loss_D_real: -0.002216 Loss_D_fake 0.018801
[1449/5000][340/535][149542] Loss_D: -0.019563 Loss_G: -0.005663 Loss_D_real: -0.012557 Loss_D_fake 0.007006
[1449/5000][345/535][149543] Loss_D: -0.020525 Loss_G: -0.004716 Loss_D_real: 0.003793 Loss_D_fake 0.024318
[1449/5000][350/535][149544] Loss_D: -0.020701 Loss_G: 0.008384 Loss_D_real: -0.025372 Loss_D_fake -0.004670
[1449/5000][355/535][149545] Loss_D: -0.020709 Loss_G: 0.002722 Loss_D_real: -0.005627 Loss_D_fake 0.015082
[1449/5000][360/535][149546] Loss_D: -0.020058 Loss_G: 0.002626 Loss_D_real: -0.015187 Loss_D_fake 0.004871
[1449/5000][365/535][149547] Loss_D: -0.019846 Loss_G: 0.020957 Loss_D_real: -0.027801 Loss_D_fake -0.007954
[1449/5000][370/535][149548] Loss_D: -0.020365 Loss_G: 0.013365 Loss_D_real: -0.023823 Loss_D_fake -0.003457
[1449/5000][375/535][149549] Loss_D: -0.020557 Loss_G: 0.026150 Loss_D_real: -0.026686 Loss_D_fake -0.006128
[1449/5000][380/535][149550] Loss_D: -0.020763 Loss_G: -0.004860 Loss_D_real: -0.009475 Loss_D_fake 0.011288
[1449/5000][385/535][149551] Loss_D: -0.018365 Loss_G: 0.002303 Loss_D_real: -0.009582 Loss_D_fake 0.008783
[1449/5000][390/535][149552] Loss_D: -0.018862 Loss_G: 0.020098 Loss_D_real: -0.011053 Loss_D_fake 0.007809
[1449/5000][395/535][149553] Loss_D: -0.018820 Loss_G: 0.018806 Loss_D_real: -0.022996 Loss_D_fake -0.004176
[1449/5000][400/535][149554] Loss_D: -0.020427 Loss_G: 0.007420 Loss_D_real: -0.029856 Loss_D_fake -0.009430
[1449/5000][405/535][149555] Loss_D: -0.019779 Loss_G: -0.009123 Loss_D_real: 0.005084 Loss_D_fake 0.024863
[1449/5000][410/535][149556] Loss_D: -0.019799 Loss_G: 0.020531 Loss_D_real: -0.025098 Loss_D_fake -0.005299
[1449/5000][415/535][149557] Loss_D: -0.020746 Loss_G: 0.010503 Loss_D_real: -0.018232 Loss_D_fake 0.002514
[1449/5000][420/535][149558] Loss_D: -0.021764 Loss_G: 0.019314 Loss_D_real: -0.016520 Loss_D_fake 0.005244
[1449/5000][425/535][149559] Loss_D: -0.019882 Loss_G: -0.016793 Loss_D_real: -0.014117 Loss_D_fake 0.005765
[1449/5000][430/535][149560] Loss_D: -0.019472 Loss_G: 0.017215 Loss_D_real: -0.041502 Loss_D_fake -0.022030
[1449/5000][435/535][149561] Loss_D: -0.020051 Loss_G: 0.002675 Loss_D_real: -0.015873 Loss_D_fake 0.004178
[1449/5000][440/535][149562] Loss_D: -0.019672 Loss_G: 0.010772 Loss_D_real: -0.023547 Loss_D_fake -0.003875
[1449/5000][445/535][149563] Loss_D: -0.020573 Loss_G: -0.000886 Loss_D_real: -0.007367 Loss_D_fake 0.013206
[1449/5000][450/535][149564] Loss_D: -0.019284 Loss_G: -0.014908 Loss_D_real: -0.003120 Loss_D_fake 0.016164
[1449/5000][455/535][149565] Loss_D: -0.020499 Loss_G: 0.020276 Loss_D_real: -0.030159 Loss_D_fake -0.009660
[1449/5000][460/535][149566] Loss_D: -0.018654 Loss_G: 0.010204 Loss_D_real: -0.020184 Loss_D_fake -0.001530
[1449/5000][465/535][149567] Loss_D: -0.020415 Loss_G: 0.008843 Loss_D_real: -0.019590 Loss_D_fake 0.000825
[1449/5000][470/535][149568] Loss_D: -0.020431 Loss_G: 0.010473 Loss_D_real: -0.025193 Loss_D_fake -0.004763
[1449/5000][475/535][149569] Loss_D: -0.019983 Loss_G: -0.007975 Loss_D_real: -0.017693 Loss_D_fake 0.002290
[1449/5000][480/535][149570] Loss_D: -0.018693 Loss_G: -0.010290 Loss_D_real: -0.001678 Loss_D_fake 0.017016
[1449/5000][485/535][149571] Loss_D: -0.019402 Loss_G: 0.000823 Loss_D_real: -0.037986 Loss_D_fake -0.018584
[1449/5000][490/535][149572] Loss_D: -0.020214 Loss_G: -0.005039 Loss_D_real: 0.000709 Loss_D_fake 0.020924
[1449/5000][495/535][149573] Loss_D: -0.019205 Loss_G: 0.010849 Loss_D_real: -0.021763 Loss_D_fake -0.002557
[1449/5000][500/535][149574] Loss_D: -0.021006 Loss_G: 0.011499 Loss_D_real: -0.018335 Loss_D_fake 0.002671
[1449/5000][505/535][149575] Loss_D: -0.020381 Loss_G: 0.001332 Loss_D_real: -0.003388 Loss_D_fake 0.016992
[1449/5000][510/535][149576] Loss_D: -0.019211 Loss_G: 0.023070 Loss_D_real: -0.017815 Loss_D_fake 0.001396
[1449/5000][515/535][149577] Loss_D: -0.020250 Loss_G: -0.009562 Loss_D_real: -0.005687 Loss_D_fake 0.014562
[1449/5000][520/535][149578] Loss_D: -0.018960 Loss_G: 0.021214 Loss_D_real: -0.023721 Loss_D_fake -0.004761
[1449/5000][525/535][149579] Loss_D: -0.020163 Loss_G: 0.003636 Loss_D_real: -0.028754 Loss_D_fake -0.008591
[1449/5000][530/535][149580] Loss_D: -0.018824 Loss_G: -0.022016 Loss_D_real: 0.002384 Loss_D_fake 0.021208
[1449/5000][535/535][149581] Loss_D: -0.017951 Loss_G: -0.025641 Loss_D_real: -0.017356 Loss_D_fake 0.000595
[1450/5000][5/535][149582] Loss_D: -0.018783 Loss_G: 0.029133 Loss_D_real: -0.017974 Loss_D_fake 0.000809
[1450/5000][10/535][149583] Loss_D: -0.021077 Loss_G: 0.001579 Loss_D_real: -0.000164 Loss_D_fake 0.020913
[1450/5000][15/535][149584] Loss_D: -0.019320 Loss_G: 0.013741 Loss_D_real: -0.012997 Loss_D_fake 0.006323
[1450/5000][20/535][149585] Loss_D: -0.018871 Loss_G: 0.025745 Loss_D_real: -0.017957 Loss_D_fake 0.000915
[1450/5000][25/535][149586] Loss_D: -0.018624 Loss_G: 0.014924 Loss_D_real: -0.015787 Loss_D_fake 0.002837
[1450/5000][30/535][149587] Loss_D: -0.017880 Loss_G: 0.021782 Loss_D_real: -0.028417 Loss_D_fake -0.010536
[1450/5000][35/535][149588] Loss_D: -0.018695 Loss_G: 0.009178 Loss_D_real: -0.017291 Loss_D_fake 0.001404
[1450/5000][40/535][149589] Loss_D: -0.018194 Loss_G: 0.006437 Loss_D_real: -0.031327 Loss_D_fake -0.013132
[1450/5000][45/535][149590] Loss_D: -0.019246 Loss_G: 0.005971 Loss_D_real: -0.008547 Loss_D_fake 0.010699
[1450/5000][50/535][149591] Loss_D: -0.020607 Loss_G: 0.000854 Loss_D_real: -0.013543 Loss_D_fake 0.007064
[1450/5000][55/535][149592] Loss_D: -0.019958 Loss_G: 0.017554 Loss_D_real: -0.025916 Loss_D_fake -0.005958
[1450/5000][60/535][149593] Loss_D: -0.019538 Loss_G: 0.018809 Loss_D_real: -0.023166 Loss_D_fake -0.003627
[1450/5000][65/535][149594] Loss_D: -0.020312 Loss_G: 0.013271 Loss_D_real: -0.015039 Loss_D_fake 0.005273
[1450/5000][70/535][149595] Loss_D: -0.019781 Loss_G: 0.021239 Loss_D_real: -0.030723 Loss_D_fake -0.010942
[1450/5000][75/535][149596] Loss_D: -0.021551 Loss_G: 0.001974 Loss_D_real: -0.012142 Loss_D_fake 0.009410
[1450/5000][80/535][149597] Loss_D: -0.020852 Loss_G: -0.016851 Loss_D_real: -0.009825 Loss_D_fake 0.011028
[1450/5000][85/535][149598] Loss_D: -0.020177 Loss_G: 0.027531 Loss_D_real: -0.026783 Loss_D_fake -0.006605
[1450/5000][90/535][149599] Loss_D: -0.020234 Loss_G: -0.024086 Loss_D_real: -0.006483 Loss_D_fake 0.013751
[1450/5000][95/535][149600] Loss_D: -0.020858 Loss_G: 0.018004 Loss_D_real: -0.019823 Loss_D_fake 0.001035
[1450/5000][100/535][149601] Loss_D: -0.020132 Loss_G: -0.022208 Loss_D_real: -0.006279 Loss_D_fake 0.013853
[1450/5000][105/535][149602] Loss_D: -0.019117 Loss_G: 0.002744 Loss_D_real: -0.015735 Loss_D_fake 0.003382
[1450/5000][110/535][149603] Loss_D: -0.020349 Loss_G: 0.016873 Loss_D_real: -0.016329 Loss_D_fake 0.004020
[1450/5000][115/535][149604] Loss_D: -0.020126 Loss_G: 0.001428 Loss_D_real: -0.022581 Loss_D_fake -0.002455
[1450/5000][120/535][149605] Loss_D: -0.020110 Loss_G: -0.006118 Loss_D_real: 0.004368 Loss_D_fake 0.024478
[1450/5000][125/535][149606] Loss_D: -0.020832 Loss_G: 0.017568 Loss_D_real: -0.014882 Loss_D_fake 0.005949
[1450/5000][130/535][149607] Loss_D: -0.019615 Loss_G: 0.006765 Loss_D_real: -0.018296 Loss_D_fake 0.001319
[1450/5000][135/535][149608] Loss_D: -0.019948 Loss_G: 0.025132 Loss_D_real: -0.026066 Loss_D_fake -0.006118
[1450/5000][140/535][149609] Loss_D: -0.019916 Loss_G: 0.005960 Loss_D_real: -0.026603 Loss_D_fake -0.006687
[1450/5000][145/535][149610] Loss_D: -0.020022 Loss_G: 0.002546 Loss_D_real: -0.016682 Loss_D_fake 0.003340
[1450/5000][150/535][149611] Loss_D: -0.019583 Loss_G: 0.013930 Loss_D_real: -0.013350 Loss_D_fake 0.006233
[1450/5000][155/535][149612] Loss_D: -0.020486 Loss_G: 0.009030 Loss_D_real: -0.019999 Loss_D_fake 0.000487
[1450/5000][160/535][149613] Loss_D: -0.020904 Loss_G: -0.006776 Loss_D_real: -0.013522 Loss_D_fake 0.007382
[1450/5000][165/535][149614] Loss_D: -0.019868 Loss_G: 0.020790 Loss_D_real: -0.025631 Loss_D_fake -0.005763
[1450/5000][170/535][149615] Loss_D: -0.019357 Loss_G: 0.006497 Loss_D_real: -0.004558 Loss_D_fake 0.014799
[1450/5000][175/535][149616] Loss_D: -0.018902 Loss_G: -0.007939 Loss_D_real: -0.006270 Loss_D_fake 0.012632
[1450/5000][180/535][149617] Loss_D: -0.019820 Loss_G: 0.019954 Loss_D_real: -0.024807 Loss_D_fake -0.004987
[1450/5000][185/535][149618] Loss_D: -0.019661 Loss_G: 0.012997 Loss_D_real: -0.020471 Loss_D_fake -0.000810
[1450/5000][190/535][149619] Loss_D: -0.020174 Loss_G: -0.011997 Loss_D_real: -0.006558 Loss_D_fake 0.013615
[1450/5000][195/535][149620] Loss_D: -0.018862 Loss_G: 0.017664 Loss_D_real: -0.021654 Loss_D_fake -0.002793
[1450/5000][200/535][149621] Loss_D: -0.018848 Loss_G: 0.016030 Loss_D_real: -0.033012 Loss_D_fake -0.014164
[1450/5000][205/535][149622] Loss_D: -0.020439 Loss_G: 0.023349 Loss_D_real: -0.033825 Loss_D_fake -0.013387
[1450/5000][210/535][149623] Loss_D: -0.021102 Loss_G: -0.005774 Loss_D_real: -0.019886 Loss_D_fake 0.001216
[1450/5000][215/535][149624] Loss_D: -0.018256 Loss_G: -0.001264 Loss_D_real: -0.010719 Loss_D_fake 0.007537
[1450/5000][220/535][149625] Loss_D: -0.020336 Loss_G: 0.026169 Loss_D_real: -0.023971 Loss_D_fake -0.003635
[1450/5000][225/535][149626] Loss_D: -0.021412 Loss_G: 0.003254 Loss_D_real: -0.026306 Loss_D_fake -0.004894
[1450/5000][230/535][149627] Loss_D: -0.019831 Loss_G: 0.009170 Loss_D_real: -0.013882 Loss_D_fake 0.005949
[1450/5000][235/535][149628] Loss_D: -0.021244 Loss_G: 0.014825 Loss_D_real: -0.024700 Loss_D_fake -0.003456
[1450/5000][240/535][149629] Loss_D: -0.019899 Loss_G: -0.002609 Loss_D_real: -0.009802 Loss_D_fake 0.010098
[1450/5000][245/535][149630] Loss_D: -0.021213 Loss_G: 0.014225 Loss_D_real: -0.028781 Loss_D_fake -0.007568
[1450/5000][250/535][149631] Loss_D: -0.020580 Loss_G: -0.013453 Loss_D_real: -0.000561 Loss_D_fake 0.020019
[1450/5000][255/535][149632] Loss_D: -0.019901 Loss_G: 0.009671 Loss_D_real: 0.003052 Loss_D_fake 0.022953
[1450/5000][260/535][149633] Loss_D: -0.020995 Loss_G: 0.027565 Loss_D_real: -0.025258 Loss_D_fake -0.004263
[1450/5000][265/535][149634] Loss_D: -0.020061 Loss_G: 0.002240 Loss_D_real: -0.018739 Loss_D_fake 0.001322
[1450/5000][270/535][149635] Loss_D: -0.020661 Loss_G: 0.007364 Loss_D_real: -0.021550 Loss_D_fake -0.000889
[1450/5000][275/535][149636] Loss_D: -0.020137 Loss_G: 0.024649 Loss_D_real: -0.019401 Loss_D_fake 0.000736
[1450/5000][280/535][149637] Loss_D: -0.020629 Loss_G: 0.001722 Loss_D_real: -0.004331 Loss_D_fake 0.016297
[1450/5000][285/535][149638] Loss_D: -0.020596 Loss_G: -0.005318 Loss_D_real: -0.019278 Loss_D_fake 0.001318
[1450/5000][290/535][149639] Loss_D: -0.019784 Loss_G: 0.003619 Loss_D_real: -0.016659 Loss_D_fake 0.003125
[1450/5000][295/535][149640] Loss_D: -0.019506 Loss_G: -0.020041 Loss_D_real: -0.006448 Loss_D_fake 0.013058
[1450/5000][300/535][149641] Loss_D: -0.018964 Loss_G: 0.018874 Loss_D_real: -0.010003 Loss_D_fake 0.008962
[1450/5000][305/535][149642] Loss_D: -0.020404 Loss_G: -0.007840 Loss_D_real: -0.007352 Loss_D_fake 0.013052
[1450/5000][310/535][149643] Loss_D: -0.019826 Loss_G: 0.026626 Loss_D_real: -0.024521 Loss_D_fake -0.004695
[1450/5000][315/535][149644] Loss_D: -0.019362 Loss_G: -0.007558 Loss_D_real: -0.000117 Loss_D_fake 0.019244
[1450/5000][320/535][149645] Loss_D: -0.020231 Loss_G: 0.010084 Loss_D_real: -0.022875 Loss_D_fake -0.002643
[1450/5000][325/535][149646] Loss_D: -0.020310 Loss_G: 0.016053 Loss_D_real: -0.007740 Loss_D_fake 0.012570
[1450/5000][330/535][149647] Loss_D: -0.018997 Loss_G: -0.014663 Loss_D_real: -0.006851 Loss_D_fake 0.012145
[1450/5000][335/535][149648] Loss_D: -0.019752 Loss_G: 0.002218 Loss_D_real: -0.014138 Loss_D_fake 0.005613
[1450/5000][340/535][149649] Loss_D: -0.021520 Loss_G: 0.001296 Loss_D_real: -0.002102 Loss_D_fake 0.019417
[1450/5000][345/535][149650] Loss_D: -0.019803 Loss_G: 0.001217 Loss_D_real: -0.009613 Loss_D_fake 0.010189
[1450/5000][350/535][149651] Loss_D: -0.020840 Loss_G: 0.012955 Loss_D_real: -0.013140 Loss_D_fake 0.007700
[1450/5000][355/535][149652] Loss_D: -0.020932 Loss_G: 0.005120 Loss_D_real: -0.017657 Loss_D_fake 0.003274
[1450/5000][360/535][149653] Loss_D: -0.019595 Loss_G: 0.003655 Loss_D_real: -0.026027 Loss_D_fake -0.006432
[1450/5000][365/535][149654] Loss_D: -0.019774 Loss_G: 0.018693 Loss_D_real: -0.025597 Loss_D_fake -0.005823
[1450/5000][370/535][149655] Loss_D: -0.020313 Loss_G: 0.009015 Loss_D_real: -0.010212 Loss_D_fake 0.010101
[1450/5000][375/535][149656] Loss_D: -0.019392 Loss_G: 0.002641 Loss_D_real: -0.020067 Loss_D_fake -0.000674
[1450/5000][380/535][149657] Loss_D: -0.018642 Loss_G: 0.021967 Loss_D_real: -0.033453 Loss_D_fake -0.014810
[1450/5000][385/535][149658] Loss_D: -0.019295 Loss_G: 0.007090 Loss_D_real: -0.017255 Loss_D_fake 0.002040
[1450/5000][390/535][149659] Loss_D: -0.019778 Loss_G: 0.013782 Loss_D_real: -0.020583 Loss_D_fake -0.000805
[1450/5000][395/535][149660] Loss_D: -0.020674 Loss_G: 0.017582 Loss_D_real: -0.032516 Loss_D_fake -0.011843
[1450/5000][400/535][149661] Loss_D: -0.019014 Loss_G: -0.008238 Loss_D_real: -0.015355 Loss_D_fake 0.003659
[1450/5000][405/535][149662] Loss_D: -0.019042 Loss_G: -0.000148 Loss_D_real: 0.009588 Loss_D_fake 0.028630
[1450/5000][410/535][149663] Loss_D: -0.019703 Loss_G: 0.008459 Loss_D_real: -0.027700 Loss_D_fake -0.007996
[1450/5000][415/535][149664] Loss_D: -0.018256 Loss_G: 0.027074 Loss_D_real: -0.030212 Loss_D_fake -0.011957
[1450/5000][420/535][149665] Loss_D: -0.020119 Loss_G: -0.011406 Loss_D_real: -0.003902 Loss_D_fake 0.016217
[1450/5000][425/535][149666] Loss_D: -0.018883 Loss_G: 0.012785 Loss_D_real: -0.025218 Loss_D_fake -0.006335
[1450/5000][430/535][149667] Loss_D: -0.020128 Loss_G: -0.002709 Loss_D_real: -0.007167 Loss_D_fake 0.012961
[1450/5000][435/535][149668] Loss_D: -0.018529 Loss_G: 0.017711 Loss_D_real: -0.019372 Loss_D_fake -0.000843
[1450/5000][440/535][149669] Loss_D: -0.019455 Loss_G: 0.010894 Loss_D_real: -0.025403 Loss_D_fake -0.005948
[1450/5000][445/535][149670] Loss_D: -0.019460 Loss_G: 0.000259 Loss_D_real: -0.011634 Loss_D_fake 0.007826
[1450/5000][450/535][149671] Loss_D: -0.019606 Loss_G: -0.001275 Loss_D_real: -0.021164 Loss_D_fake -0.001558
[1450/5000][455/535][149672] Loss_D: -0.019188 Loss_G: 0.010667 Loss_D_real: -0.021947 Loss_D_fake -0.002760
[1450/5000][460/535][149673] Loss_D: -0.020772 Loss_G: -0.001010 Loss_D_real: -0.024340 Loss_D_fake -0.003568
[1450/5000][465/535][149674] Loss_D: -0.019862 Loss_G: 0.005242 Loss_D_real: -0.005756 Loss_D_fake 0.014106
[1450/5000][470/535][149675] Loss_D: -0.019610 Loss_G: -0.010551 Loss_D_real: -0.015444 Loss_D_fake 0.004167
[1450/5000][475/535][149676] Loss_D: -0.020558 Loss_G: -0.008298 Loss_D_real: -0.001572 Loss_D_fake 0.018986
[1450/5000][480/535][149677] Loss_D: -0.019728 Loss_G: 0.021100 Loss_D_real: -0.023512 Loss_D_fake -0.003783
[1450/5000][485/535][149678] Loss_D: -0.020087 Loss_G: 0.001697 Loss_D_real: 0.010408 Loss_D_fake 0.030496
[1450/5000][490/535][149679] Loss_D: -0.018679 Loss_G: 0.003250 Loss_D_real: -0.012743 Loss_D_fake 0.005937
[1450/5000][495/535][149680] Loss_D: -0.020411 Loss_G: 0.004742 Loss_D_real: -0.011756 Loss_D_fake 0.008655
[1450/5000][500/535][149681] Loss_D: -0.020857 Loss_G: 0.030063 Loss_D_real: -0.025664 Loss_D_fake -0.004806
[1450/5000][505/535][149682] Loss_D: -0.020777 Loss_G: 0.015989 Loss_D_real: -0.019009 Loss_D_fake 0.001768
[1450/5000][510/535][149683] Loss_D: -0.021694 Loss_G: -0.000821 Loss_D_real: -0.031590 Loss_D_fake -0.009895
[1450/5000][515/535][149684] Loss_D: -0.016682 Loss_G: 0.029903 Loss_D_real: -0.036138 Loss_D_fake -0.019456
[1450/5000][520/535][149685] Loss_D: -0.018120 Loss_G: -0.020189 Loss_D_real: 0.009326 Loss_D_fake 0.027446
[1450/5000][525/535][149686] Loss_D: -0.019057 Loss_G: -0.012867 Loss_D_real: -0.003557 Loss_D_fake 0.015500
[1450/5000][530/535][149687] Loss_D: -0.020549 Loss_G: 0.016471 Loss_D_real: -0.018330 Loss_D_fake 0.002219
[1450/5000][535/535][149688] Loss_D: -0.020799 Loss_G: 0.011504 Loss_D_real: -0.017389 Loss_D_fake 0.003410
[1451/5000][5/535][149689] Loss_D: -0.021351 Loss_G: 0.015033 Loss_D_real: -0.020624 Loss_D_fake 0.000727
[1451/5000][10/535][149690] Loss_D: -0.020994 Loss_G: -0.003537 Loss_D_real: -0.008732 Loss_D_fake 0.012262
[1451/5000][15/535][149691] Loss_D: -0.020666 Loss_G: 0.010358 Loss_D_real: -0.035563 Loss_D_fake -0.014897
[1451/5000][20/535][149692] Loss_D: -0.020928 Loss_G: -0.012996 Loss_D_real: -0.004231 Loss_D_fake 0.016697
[1451/5000][25/535][149693] Loss_D: -0.019591 Loss_G: 0.032481 Loss_D_real: -0.020869 Loss_D_fake -0.001278
[1451/5000][30/535][149694] Loss_D: -0.019980 Loss_G: 0.011909 Loss_D_real: -0.015979 Loss_D_fake 0.004001
[1451/5000][35/535][149695] Loss_D: -0.019542 Loss_G: 0.007412 Loss_D_real: -0.027340 Loss_D_fake -0.007798
[1451/5000][40/535][149696] Loss_D: -0.020758 Loss_G: 0.005384 Loss_D_real: -0.018323 Loss_D_fake 0.002435
[1451/5000][45/535][149697] Loss_D: -0.020613 Loss_G: 0.005906 Loss_D_real: -0.012808 Loss_D_fake 0.007805
[1451/5000][50/535][149698] Loss_D: -0.021450 Loss_G: 0.005152 Loss_D_real: -0.010326 Loss_D_fake 0.011123
[1451/5000][55/535][149699] Loss_D: -0.020709 Loss_G: 0.016658 Loss_D_real: -0.022208 Loss_D_fake -0.001499
[1451/5000][60/535][149700] Loss_D: -0.019992 Loss_G: -0.008532 Loss_D_real: -0.010900 Loss_D_fake 0.009093
[1451/5000][65/535][149701] Loss_D: -0.018956 Loss_G: -0.014808 Loss_D_real: -0.008921 Loss_D_fake 0.010035
[1451/5000][70/535][149702] Loss_D: -0.020540 Loss_G: 0.032826 Loss_D_real: -0.023038 Loss_D_fake -0.002498
[1451/5000][75/535][149703] Loss_D: -0.019267 Loss_G: 0.006948 Loss_D_real: -0.020715 Loss_D_fake -0.001449
[1451/5000][80/535][149704] Loss_D: -0.020838 Loss_G: 0.010815 Loss_D_real: -0.006147 Loss_D_fake 0.014691
[1451/5000][85/535][149705] Loss_D: -0.018831 Loss_G: 0.020061 Loss_D_real: -0.031027 Loss_D_fake -0.012196
[1451/5000][90/535][149706] Loss_D: -0.020904 Loss_G: 0.004935 Loss_D_real: -0.010336 Loss_D_fake 0.010567
[1451/5000][95/535][149707] Loss_D: -0.020598 Loss_G: 0.006255 Loss_D_real: -0.022180 Loss_D_fake -0.001582
[1451/5000][100/535][149708] Loss_D: -0.020648 Loss_G: 0.003403 Loss_D_real: -0.005080 Loss_D_fake 0.015568
[1451/5000][105/535][149709] Loss_D: -0.021188 Loss_G: 0.000248 Loss_D_real: -0.015770 Loss_D_fake 0.005418
[1451/5000][110/535][149710] Loss_D: -0.020344 Loss_G: 0.026883 Loss_D_real: -0.022816 Loss_D_fake -0.002472
[1451/5000][115/535][149711] Loss_D: -0.020178 Loss_G: 0.012992 Loss_D_real: -0.007258 Loss_D_fake 0.012921
[1451/5000][120/535][149712] Loss_D: -0.020235 Loss_G: 0.016444 Loss_D_real: -0.024195 Loss_D_fake -0.003960
[1451/5000][125/535][149713] Loss_D: -0.020099 Loss_G: 0.021531 Loss_D_real: -0.028093 Loss_D_fake -0.007993
[1451/5000][130/535][149714] Loss_D: -0.021493 Loss_G: -0.001322 Loss_D_real: -0.010786 Loss_D_fake 0.010706
[1451/5000][135/535][149715] Loss_D: -0.020260 Loss_G: 0.011946 Loss_D_real: -0.010188 Loss_D_fake 0.010072
[1451/5000][140/535][149716] Loss_D: -0.019518 Loss_G: 0.016387 Loss_D_real: -0.028952 Loss_D_fake -0.009434
[1451/5000][145/535][149717] Loss_D: -0.020419 Loss_G: 0.005839 Loss_D_real: -0.007691 Loss_D_fake 0.012728
[1451/5000][150/535][149718] Loss_D: -0.018651 Loss_G: 0.022767 Loss_D_real: -0.031541 Loss_D_fake -0.012890
[1451/5000][155/535][149719] Loss_D: -0.020936 Loss_G: -0.000108 Loss_D_real: -0.032672 Loss_D_fake -0.011737
[1451/5000][160/535][149720] Loss_D: -0.019207 Loss_G: 0.001484 Loss_D_real: 0.006998 Loss_D_fake 0.026205
[1451/5000][165/535][149721] Loss_D: -0.019209 Loss_G: 0.010551 Loss_D_real: -0.019346 Loss_D_fake -0.000137
[1451/5000][170/535][149722] Loss_D: -0.020156 Loss_G: 0.006563 Loss_D_real: -0.017392 Loss_D_fake 0.002764
[1451/5000][175/535][149723] Loss_D: -0.018639 Loss_G: -0.019831 Loss_D_real: 0.003331 Loss_D_fake 0.021970
[1451/5000][180/535][149724] Loss_D: -0.019274 Loss_G: 0.012397 Loss_D_real: -0.018243 Loss_D_fake 0.001032
[1451/5000][185/535][149725] Loss_D: -0.017523 Loss_G: 0.007046 Loss_D_real: 0.000107 Loss_D_fake 0.017630
[1451/5000][190/535][149726] Loss_D: -0.021705 Loss_G: 0.010150 Loss_D_real: -0.022540 Loss_D_fake -0.000835
[1451/5000][195/535][149727] Loss_D: -0.019938 Loss_G: 0.009111 Loss_D_real: -0.014482 Loss_D_fake 0.005456
[1451/5000][200/535][149728] Loss_D: -0.019144 Loss_G: 0.021193 Loss_D_real: -0.026907 Loss_D_fake -0.007763
[1451/5000][205/535][149729] Loss_D: -0.019667 Loss_G: 0.003284 Loss_D_real: -0.016580 Loss_D_fake 0.003087
[1451/5000][210/535][149730] Loss_D: -0.019526 Loss_G: 0.015174 Loss_D_real: -0.023863 Loss_D_fake -0.004337
[1451/5000][215/535][149731] Loss_D: -0.020664 Loss_G: 0.002682 Loss_D_real: -0.017591 Loss_D_fake 0.003072
[1451/5000][220/535][149732] Loss_D: -0.020836 Loss_G: -0.004398 Loss_D_real: -0.008327 Loss_D_fake 0.012509
[1451/5000][225/535][149733] Loss_D: -0.018192 Loss_G: 0.014777 Loss_D_real: -0.014222 Loss_D_fake 0.003970
[1451/5000][230/535][149734] Loss_D: -0.020104 Loss_G: 0.013742 Loss_D_real: -0.015972 Loss_D_fake 0.004132
[1451/5000][235/535][149735] Loss_D: -0.019766 Loss_G: 0.023620 Loss_D_real: -0.019925 Loss_D_fake -0.000159
[1451/5000][240/535][149736] Loss_D: -0.019174 Loss_G: 0.017869 Loss_D_real: -0.035907 Loss_D_fake -0.016732
[1451/5000][245/535][149737] Loss_D: -0.019731 Loss_G: 0.017279 Loss_D_real: -0.010966 Loss_D_fake 0.008765
[1451/5000][250/535][149738] Loss_D: -0.017169 Loss_G: 0.024820 Loss_D_real: -0.039382 Loss_D_fake -0.022213
[1451/5000][255/535][149739] Loss_D: -0.020781 Loss_G: 0.007339 Loss_D_real: -0.008210 Loss_D_fake 0.012571
[1451/5000][260/535][149740] Loss_D: -0.020810 Loss_G: 0.020118 Loss_D_real: -0.025208 Loss_D_fake -0.004398
[1451/5000][265/535][149741] Loss_D: -0.021517 Loss_G: -0.006536 Loss_D_real: -0.015347 Loss_D_fake 0.006170
[1451/5000][270/535][149742] Loss_D: -0.021034 Loss_G: -0.002855 Loss_D_real: 0.004919 Loss_D_fake 0.025953
[1451/5000][275/535][149743] Loss_D: -0.020165 Loss_G: 0.001490 Loss_D_real: -0.028410 Loss_D_fake -0.008245
[1451/5000][280/535][149744] Loss_D: -0.020308 Loss_G: 0.021115 Loss_D_real: -0.030008 Loss_D_fake -0.009700
[1451/5000][285/535][149745] Loss_D: -0.020383 Loss_G: 0.022813 Loss_D_real: -0.035943 Loss_D_fake -0.015560
[1451/5000][290/535][149746] Loss_D: -0.020764 Loss_G: 0.009428 Loss_D_real: -0.021054 Loss_D_fake -0.000291
[1451/5000][295/535][149747] Loss_D: -0.020378 Loss_G: -0.003859 Loss_D_real: -0.012154 Loss_D_fake 0.008224
[1451/5000][300/535][149748] Loss_D: -0.019331 Loss_G: -0.007886 Loss_D_real: 0.003869 Loss_D_fake 0.023200
[1451/5000][305/535][149749] Loss_D: -0.019376 Loss_G: 0.011716 Loss_D_real: -0.025744 Loss_D_fake -0.006369
[1451/5000][310/535][149750] Loss_D: -0.018506 Loss_G: -0.011812 Loss_D_real: -0.003073 Loss_D_fake 0.015433
[1451/5000][315/535][149751] Loss_D: -0.020310 Loss_G: 0.016205 Loss_D_real: -0.013114 Loss_D_fake 0.007197
[1451/5000][320/535][149752] Loss_D: -0.019056 Loss_G: 0.026463 Loss_D_real: -0.019167 Loss_D_fake -0.000111
[1451/5000][325/535][149753] Loss_D: -0.019723 Loss_G: 0.008882 Loss_D_real: -0.015896 Loss_D_fake 0.003827
[1451/5000][330/535][149754] Loss_D: -0.020037 Loss_G: 0.013060 Loss_D_real: -0.011740 Loss_D_fake 0.008298
[1451/5000][335/535][149755] Loss_D: -0.020718 Loss_G: 0.023749 Loss_D_real: -0.033182 Loss_D_fake -0.012463
[1451/5000][340/535][149756] Loss_D: -0.019312 Loss_G: 0.016212 Loss_D_real: -0.013713 Loss_D_fake 0.005599
[1451/5000][345/535][149757] Loss_D: -0.020763 Loss_G: 0.017795 Loss_D_real: -0.023134 Loss_D_fake -0.002372
[1451/5000][350/535][149758] Loss_D: -0.019763 Loss_G: 0.011976 Loss_D_real: -0.021416 Loss_D_fake -0.001653
[1451/5000][355/535][149759] Loss_D: -0.019689 Loss_G: -0.003644 Loss_D_real: -0.010764 Loss_D_fake 0.008925
[1451/5000][360/535][149760] Loss_D: -0.021915 Loss_G: 0.005093 Loss_D_real: -0.012369 Loss_D_fake 0.009546
[1451/5000][365/535][149761] Loss_D: -0.022005 Loss_G: 0.006278 Loss_D_real: -0.000154 Loss_D_fake 0.021851
[1451/5000][370/535][149762] Loss_D: -0.019978 Loss_G: 0.009476 Loss_D_real: -0.021027 Loss_D_fake -0.001048
[1451/5000][375/535][149763] Loss_D: -0.020688 Loss_G: 0.008225 Loss_D_real: -0.022673 Loss_D_fake -0.001985
[1451/5000][380/535][149764] Loss_D: -0.019954 Loss_G: 0.018370 Loss_D_real: -0.017203 Loss_D_fake 0.002751
[1451/5000][385/535][149765] Loss_D: -0.020580 Loss_G: 0.003902 Loss_D_real: -0.002154 Loss_D_fake 0.018426
[1451/5000][390/535][149766] Loss_D: -0.019243 Loss_G: -0.001957 Loss_D_real: -0.023133 Loss_D_fake -0.003890
[1451/5000][395/535][149767] Loss_D: -0.018466 Loss_G: -0.001139 Loss_D_real: -0.012573 Loss_D_fake 0.005893
[1451/5000][400/535][149768] Loss_D: -0.019424 Loss_G: 0.007384 Loss_D_real: -0.023889 Loss_D_fake -0.004465
[1451/5000][405/535][149769] Loss_D: -0.020649 Loss_G: 0.007484 Loss_D_real: -0.013111 Loss_D_fake 0.007538
[1451/5000][410/535][149770] Loss_D: -0.020620 Loss_G: -0.003397 Loss_D_real: -0.016663 Loss_D_fake 0.003957
[1451/5000][415/535][149771] Loss_D: -0.019241 Loss_G: 0.000924 Loss_D_real: -0.013114 Loss_D_fake 0.006127
[1451/5000][420/535][149772] Loss_D: -0.020371 Loss_G: -0.000098 Loss_D_real: -0.010725 Loss_D_fake 0.009645
[1451/5000][425/535][149773] Loss_D: -0.020475 Loss_G: 0.006963 Loss_D_real: 0.003200 Loss_D_fake 0.023675
[1451/5000][430/535][149774] Loss_D: -0.021456 Loss_G: 0.017820 Loss_D_real: -0.024427 Loss_D_fake -0.002971
[1451/5000][435/535][149775] Loss_D: -0.021108 Loss_G: 0.014142 Loss_D_real: -0.024005 Loss_D_fake -0.002898
[1451/5000][440/535][149776] Loss_D: -0.019484 Loss_G: 0.014758 Loss_D_real: -0.030324 Loss_D_fake -0.010840
[1451/5000][445/535][149777] Loss_D: -0.019874 Loss_G: 0.002118 Loss_D_real: -0.022754 Loss_D_fake -0.002880
[1451/5000][450/535][149778] Loss_D: -0.020487 Loss_G: 0.001097 Loss_D_real: -0.017343 Loss_D_fake 0.003144
[1451/5000][455/535][149779] Loss_D: -0.020402 Loss_G: 0.017511 Loss_D_real: -0.028260 Loss_D_fake -0.007858
[1451/5000][460/535][149780] Loss_D: -0.021159 Loss_G: 0.006086 Loss_D_real: -0.023991 Loss_D_fake -0.002833
[1451/5000][465/535][149781] Loss_D: -0.021071 Loss_G: -0.004424 Loss_D_real: -0.011312 Loss_D_fake 0.009759
[1451/5000][470/535][149782] Loss_D: -0.020205 Loss_G: 0.002660 Loss_D_real: -0.012672 Loss_D_fake 0.007532
[1451/5000][475/535][149783] Loss_D: -0.021434 Loss_G: 0.002593 Loss_D_real: -0.008898 Loss_D_fake 0.012536
[1451/5000][480/535][149784] Loss_D: -0.020364 Loss_G: 0.017002 Loss_D_real: -0.004184 Loss_D_fake 0.016181
[1451/5000][485/535][149785] Loss_D: -0.020905 Loss_G: 0.006261 Loss_D_real: -0.005689 Loss_D_fake 0.015216
[1451/5000][490/535][149786] Loss_D: -0.020623 Loss_G: -0.006788 Loss_D_real: -0.013747 Loss_D_fake 0.006876
[1451/5000][495/535][149787] Loss_D: -0.019912 Loss_G: 0.033221 Loss_D_real: -0.026192 Loss_D_fake -0.006280
[1451/5000][500/535][149788] Loss_D: -0.019358 Loss_G: -0.011195 Loss_D_real: -0.013614 Loss_D_fake 0.005744
[1451/5000][505/535][149789] Loss_D: -0.019672 Loss_G: -0.003128 Loss_D_real: -0.012846 Loss_D_fake 0.006826
[1451/5000][510/535][149790] Loss_D: -0.018764 Loss_G: 0.022376 Loss_D_real: -0.030391 Loss_D_fake -0.011627
[1451/5000][515/535][149791] Loss_D: -0.020228 Loss_G: -0.004692 Loss_D_real: -0.006510 Loss_D_fake 0.013719
[1451/5000][520/535][149792] Loss_D: -0.020203 Loss_G: 0.015418 Loss_D_real: -0.014331 Loss_D_fake 0.005872
[1451/5000][525/535][149793] Loss_D: -0.018341 Loss_G: -0.012561 Loss_D_real: -0.005220 Loss_D_fake 0.013121
[1451/5000][530/535][149794] Loss_D: -0.018527 Loss_G: 0.012253 Loss_D_real: -0.036209 Loss_D_fake -0.017682
[1451/5000][535/535][149795] Loss_D: -0.019220 Loss_G: 0.002541 Loss_D_real: -0.009141 Loss_D_fake 0.010079
[1452/5000][5/535][149796] Loss_D: -0.020172 Loss_G: 0.014630 Loss_D_real: -0.019574 Loss_D_fake 0.000598
[1452/5000][10/535][149797] Loss_D: -0.019485 Loss_G: 0.021078 Loss_D_real: -0.026978 Loss_D_fake -0.007493
[1452/5000][15/535][149798] Loss_D: -0.020411 Loss_G: 0.002648 Loss_D_real: -0.017399 Loss_D_fake 0.003012
[1452/5000][20/535][149799] Loss_D: -0.019342 Loss_G: 0.018294 Loss_D_real: -0.023059 Loss_D_fake -0.003717
[1452/5000][25/535][149800] Loss_D: -0.019499 Loss_G: 0.005853 Loss_D_real: -0.001268 Loss_D_fake 0.018231
[1452/5000][30/535][149801] Loss_D: -0.019544 Loss_G: 0.014858 Loss_D_real: -0.029704 Loss_D_fake -0.010160
[1452/5000][35/535][149802] Loss_D: -0.020452 Loss_G: -0.018055 Loss_D_real: -0.022086 Loss_D_fake -0.001634
[1452/5000][40/535][149803] Loss_D: -0.019768 Loss_G: 0.012460 Loss_D_real: -0.013114 Loss_D_fake 0.006654
[1452/5000][45/535][149804] Loss_D: -0.020275 Loss_G: 0.026683 Loss_D_real: -0.028763 Loss_D_fake -0.008488
[1452/5000][50/535][149805] Loss_D: -0.019671 Loss_G: 0.000690 Loss_D_real: -0.007878 Loss_D_fake 0.011793
[1452/5000][55/535][149806] Loss_D: -0.018751 Loss_G: -0.022735 Loss_D_real: -0.005224 Loss_D_fake 0.013527
[1452/5000][60/535][149807] Loss_D: -0.019534 Loss_G: -0.005062 Loss_D_real: -0.023087 Loss_D_fake -0.003553
[1452/5000][65/535][149808] Loss_D: -0.020363 Loss_G: -0.001939 Loss_D_real: -0.008360 Loss_D_fake 0.012004
[1452/5000][70/535][149809] Loss_D: -0.018734 Loss_G: 0.005780 Loss_D_real: -0.020374 Loss_D_fake -0.001639
[1452/5000][75/535][149810] Loss_D: -0.019780 Loss_G: -0.003739 Loss_D_real: -0.014653 Loss_D_fake 0.005127
[1452/5000][80/535][149811] Loss_D: -0.019413 Loss_G: 0.024484 Loss_D_real: -0.026699 Loss_D_fake -0.007286
[1452/5000][85/535][149812] Loss_D: -0.018121 Loss_G: 0.023011 Loss_D_real: -0.027455 Loss_D_fake -0.009335
[1452/5000][90/535][149813] Loss_D: -0.019544 Loss_G: 0.017408 Loss_D_real: -0.024598 Loss_D_fake -0.005055
[1452/5000][95/535][149814] Loss_D: -0.020770 Loss_G: -0.008951 Loss_D_real: -0.009448 Loss_D_fake 0.011322
[1452/5000][100/535][149815] Loss_D: -0.020075 Loss_G: 0.019351 Loss_D_real: -0.031156 Loss_D_fake -0.011081
[1452/5000][105/535][149816] Loss_D: -0.020312 Loss_G: 0.001975 Loss_D_real: -0.005917 Loss_D_fake 0.014395
[1452/5000][110/535][149817] Loss_D: -0.019518 Loss_G: 0.022196 Loss_D_real: -0.035222 Loss_D_fake -0.015704
[1452/5000][115/535][149818] Loss_D: -0.019409 Loss_G: 0.016012 Loss_D_real: -0.017836 Loss_D_fake 0.001573
[1452/5000][120/535][149819] Loss_D: -0.020019 Loss_G: -0.014585 Loss_D_real: -0.002182 Loss_D_fake 0.017837
[1452/5000][125/535][149820] Loss_D: -0.020700 Loss_G: 0.011249 Loss_D_real: -0.009823 Loss_D_fake 0.010877
[1452/5000][130/535][149821] Loss_D: -0.020614 Loss_G: -0.001130 Loss_D_real: -0.010952 Loss_D_fake 0.009661
[1452/5000][135/535][149822] Loss_D: -0.020788 Loss_G: 0.002450 Loss_D_real: 0.004026 Loss_D_fake 0.024814
[1452/5000][140/535][149823] Loss_D: -0.020785 Loss_G: 0.020123 Loss_D_real: -0.011192 Loss_D_fake 0.009594
[1452/5000][145/535][149824] Loss_D: -0.019480 Loss_G: 0.018796 Loss_D_real: -0.026466 Loss_D_fake -0.006986
[1452/5000][150/535][149825] Loss_D: -0.021524 Loss_G: 0.006942 Loss_D_real: -0.016546 Loss_D_fake 0.004978
[1452/5000][155/535][149826] Loss_D: -0.020698 Loss_G: 0.006332 Loss_D_real: -0.003987 Loss_D_fake 0.016710
[1452/5000][160/535][149827] Loss_D: -0.020077 Loss_G: -0.003352 Loss_D_real: -0.004160 Loss_D_fake 0.015917
[1452/5000][165/535][149828] Loss_D: -0.021234 Loss_G: 0.012637 Loss_D_real: -0.030635 Loss_D_fake -0.009401
[1452/5000][170/535][149829] Loss_D: -0.019253 Loss_G: 0.015502 Loss_D_real: -0.032009 Loss_D_fake -0.012756
[1452/5000][175/535][149830] Loss_D: -0.019848 Loss_G: 0.017308 Loss_D_real: -0.023368 Loss_D_fake -0.003519
[1452/5000][180/535][149831] Loss_D: -0.019303 Loss_G: 0.023137 Loss_D_real: -0.037429 Loss_D_fake -0.018126
[1452/5000][185/535][149832] Loss_D: -0.021337 Loss_G: -0.000176 Loss_D_real: 0.001583 Loss_D_fake 0.022919
[1452/5000][190/535][149833] Loss_D: -0.019959 Loss_G: 0.003955 Loss_D_real: -0.010561 Loss_D_fake 0.009398
[1452/5000][195/535][149834] Loss_D: -0.019286 Loss_G: 0.022113 Loss_D_real: -0.030137 Loss_D_fake -0.010851
[1452/5000][200/535][149835] Loss_D: -0.020935 Loss_G: 0.006398 Loss_D_real: -0.017552 Loss_D_fake 0.003383
[1452/5000][205/535][149836] Loss_D: -0.019478 Loss_G: -0.008557 Loss_D_real: -0.005512 Loss_D_fake 0.013966
[1452/5000][210/535][149837] Loss_D: -0.019416 Loss_G: -0.018475 Loss_D_real: 0.006929 Loss_D_fake 0.026345
[1452/5000][215/535][149838] Loss_D: -0.018951 Loss_G: 0.016000 Loss_D_real: -0.019069 Loss_D_fake -0.000118
[1452/5000][220/535][149839] Loss_D: -0.018642 Loss_G: 0.025858 Loss_D_real: -0.026053 Loss_D_fake -0.007411
[1452/5000][225/535][149840] Loss_D: -0.021574 Loss_G: 0.004167 Loss_D_real: -0.016047 Loss_D_fake 0.005527
[1452/5000][230/535][149841] Loss_D: -0.019259 Loss_G: 0.016938 Loss_D_real: -0.030008 Loss_D_fake -0.010748
[1452/5000][235/535][149842] Loss_D: -0.019132 Loss_G: -0.006203 Loss_D_real: -0.006908 Loss_D_fake 0.012223
[1452/5000][240/535][149843] Loss_D: -0.018706 Loss_G: 0.025229 Loss_D_real: -0.028141 Loss_D_fake -0.009435
[1452/5000][245/535][149844] Loss_D: -0.019482 Loss_G: -0.017772 Loss_D_real: 0.001188 Loss_D_fake 0.020670
[1452/5000][250/535][149845] Loss_D: -0.019791 Loss_G: 0.006534 Loss_D_real: -0.011581 Loss_D_fake 0.008210
[1452/5000][255/535][149846] Loss_D: -0.019426 Loss_G: 0.013469 Loss_D_real: -0.021322 Loss_D_fake -0.001897
[1452/5000][260/535][149847] Loss_D: -0.020370 Loss_G: 0.007883 Loss_D_real: -0.014755 Loss_D_fake 0.005615
[1452/5000][265/535][149848] Loss_D: -0.019508 Loss_G: 0.018304 Loss_D_real: -0.020055 Loss_D_fake -0.000547
[1452/5000][270/535][149849] Loss_D: -0.019385 Loss_G: 0.011807 Loss_D_real: -0.024135 Loss_D_fake -0.004750
[1452/5000][275/535][149850] Loss_D: -0.021779 Loss_G: 0.005297 Loss_D_real: -0.007113 Loss_D_fake 0.014665
[1452/5000][280/535][149851] Loss_D: -0.020303 Loss_G: 0.019128 Loss_D_real: -0.025988 Loss_D_fake -0.005685
[1452/5000][285/535][149852] Loss_D: -0.020790 Loss_G: 0.013264 Loss_D_real: -0.023916 Loss_D_fake -0.003126
[1452/5000][290/535][149853] Loss_D: -0.021050 Loss_G: 0.006101 Loss_D_real: -0.011600 Loss_D_fake 0.009450
[1452/5000][295/535][149854] Loss_D: -0.019968 Loss_G: 0.027493 Loss_D_real: -0.031073 Loss_D_fake -0.011104
[1452/5000][300/535][149855] Loss_D: -0.019992 Loss_G: -0.001667 Loss_D_real: -0.006510 Loss_D_fake 0.013481
[1452/5000][305/535][149856] Loss_D: -0.020595 Loss_G: 0.006763 Loss_D_real: -0.014647 Loss_D_fake 0.005948
[1452/5000][310/535][149857] Loss_D: -0.019339 Loss_G: 0.017936 Loss_D_real: -0.032394 Loss_D_fake -0.013056
[1452/5000][315/535][149858] Loss_D: -0.019593 Loss_G: 0.000140 Loss_D_real: -0.007343 Loss_D_fake 0.012250
[1452/5000][320/535][149859] Loss_D: -0.020210 Loss_G: -0.001675 Loss_D_real: -0.010168 Loss_D_fake 0.010042
[1452/5000][325/535][149860] Loss_D: -0.019561 Loss_G: 0.010411 Loss_D_real: -0.005626 Loss_D_fake 0.013935
[1452/5000][330/535][149861] Loss_D: -0.020977 Loss_G: 0.000061 Loss_D_real: -0.015413 Loss_D_fake 0.005564
[1452/5000][335/535][149862] Loss_D: -0.019285 Loss_G: -0.002889 Loss_D_real: -0.023752 Loss_D_fake -0.004468
[1452/5000][340/535][149863] Loss_D: -0.020274 Loss_G: 0.029109 Loss_D_real: -0.024673 Loss_D_fake -0.004399
[1452/5000][345/535][149864] Loss_D: -0.019775 Loss_G: 0.000907 Loss_D_real: -0.011945 Loss_D_fake 0.007830
[1452/5000][350/535][149865] Loss_D: -0.019554 Loss_G: -0.010994 Loss_D_real: -0.003632 Loss_D_fake 0.015922
[1452/5000][355/535][149866] Loss_D: -0.020485 Loss_G: 0.012720 Loss_D_real: -0.021715 Loss_D_fake -0.001230
[1452/5000][360/535][149867] Loss_D: -0.021993 Loss_G: 0.023792 Loss_D_real: -0.024305 Loss_D_fake -0.002313
[1452/5000][365/535][149868] Loss_D: -0.019448 Loss_G: 0.019263 Loss_D_real: -0.018304 Loss_D_fake 0.001144
[1452/5000][370/535][149869] Loss_D: -0.019245 Loss_G: 0.015521 Loss_D_real: -0.030451 Loss_D_fake -0.011207
[1452/5000][375/535][149870] Loss_D: -0.020373 Loss_G: -0.006918 Loss_D_real: -0.017270 Loss_D_fake 0.003104
[1452/5000][380/535][149871] Loss_D: -0.019383 Loss_G: 0.019052 Loss_D_real: -0.026245 Loss_D_fake -0.006863
[1452/5000][385/535][149872] Loss_D: -0.019626 Loss_G: -0.005355 Loss_D_real: 0.003648 Loss_D_fake 0.023274
[1452/5000][390/535][149873] Loss_D: -0.020273 Loss_G: 0.002768 Loss_D_real: -0.014530 Loss_D_fake 0.005743
[1452/5000][395/535][149874] Loss_D: -0.019130 Loss_G: 0.017113 Loss_D_real: -0.032366 Loss_D_fake -0.013236
[1452/5000][400/535][149875] Loss_D: -0.020447 Loss_G: -0.007995 Loss_D_real: -0.001718 Loss_D_fake 0.018729
[1452/5000][405/535][149876] Loss_D: -0.020680 Loss_G: 0.003558 Loss_D_real: -0.018634 Loss_D_fake 0.002046
[1452/5000][410/535][149877] Loss_D: -0.020013 Loss_G: 0.010049 Loss_D_real: -0.015704 Loss_D_fake 0.004309
[1452/5000][415/535][149878] Loss_D: -0.019390 Loss_G: 0.007143 Loss_D_real: -0.013797 Loss_D_fake 0.005593
[1452/5000][420/535][149879] Loss_D: -0.019606 Loss_G: -0.003205 Loss_D_real: 0.003951 Loss_D_fake 0.023557
[1452/5000][425/535][149880] Loss_D: -0.019372 Loss_G: 0.020442 Loss_D_real: -0.029675 Loss_D_fake -0.010303
[1452/5000][430/535][149881] Loss_D: -0.019924 Loss_G: 0.015635 Loss_D_real: -0.014253 Loss_D_fake 0.005671
[1452/5000][435/535][149882] Loss_D: -0.020453 Loss_G: 0.010924 Loss_D_real: -0.017797 Loss_D_fake 0.002655
[1452/5000][440/535][149883] Loss_D: -0.020433 Loss_G: 0.011069 Loss_D_real: -0.020138 Loss_D_fake 0.000295
[1452/5000][445/535][149884] Loss_D: -0.018575 Loss_G: -0.006565 Loss_D_real: -0.009389 Loss_D_fake 0.009186
[1452/5000][450/535][149885] Loss_D: -0.019908 Loss_G: -0.001968 Loss_D_real: -0.001757 Loss_D_fake 0.018151
[1452/5000][455/535][149886] Loss_D: -0.019096 Loss_G: 0.006396 Loss_D_real: -0.021318 Loss_D_fake -0.002222
[1452/5000][460/535][149887] Loss_D: -0.019384 Loss_G: -0.006382 Loss_D_real: -0.012977 Loss_D_fake 0.006407
[1452/5000][465/535][149888] Loss_D: -0.020836 Loss_G: 0.019367 Loss_D_real: -0.019439 Loss_D_fake 0.001397
[1452/5000][470/535][149889] Loss_D: -0.021035 Loss_G: 0.011489 Loss_D_real: -0.031258 Loss_D_fake -0.010223
[1452/5000][475/535][149890] Loss_D: -0.020037 Loss_G: 0.012036 Loss_D_real: -0.026453 Loss_D_fake -0.006416
[1452/5000][480/535][149891] Loss_D: -0.018568 Loss_G: -0.007629 Loss_D_real: -0.006628 Loss_D_fake 0.011941
[1452/5000][485/535][149892] Loss_D: -0.019265 Loss_G: 0.019352 Loss_D_real: -0.012119 Loss_D_fake 0.007146
[1452/5000][490/535][149893] Loss_D: -0.020270 Loss_G: 0.004293 Loss_D_real: -0.009516 Loss_D_fake 0.010754
[1452/5000][495/535][149894] Loss_D: -0.020368 Loss_G: 0.008331 Loss_D_real: -0.008060 Loss_D_fake 0.012307
[1452/5000][500/535][149895] Loss_D: -0.018953 Loss_G: 0.016112 Loss_D_real: -0.015595 Loss_D_fake 0.003357
[1452/5000][505/535][149896] Loss_D: -0.021410 Loss_G: 0.013092 Loss_D_real: -0.018448 Loss_D_fake 0.002962
[1452/5000][510/535][149897] Loss_D: -0.020562 Loss_G: 0.007854 Loss_D_real: -0.038219 Loss_D_fake -0.017657
[1452/5000][515/535][149898] Loss_D: -0.020320 Loss_G: 0.000603 Loss_D_real: -0.021314 Loss_D_fake -0.000993
[1452/5000][520/535][149899] Loss_D: -0.020909 Loss_G: 0.024361 Loss_D_real: -0.020966 Loss_D_fake -0.000057
[1452/5000][525/535][149900] Loss_D: -0.019759 Loss_G: 0.003675 Loss_D_real: -0.013049 Loss_D_fake 0.006710
[1452/5000][530/535][149901] Loss_D: -0.019305 Loss_G: 0.008984 Loss_D_real: -0.023795 Loss_D_fake -0.004490
[1452/5000][535/535][149902] Loss_D: -0.018261 Loss_G: 0.017947 Loss_D_real: -0.024428 Loss_D_fake -0.006167
[1453/5000][5/535][149903] Loss_D: -0.020583 Loss_G: 0.009538 Loss_D_real: -0.010477 Loss_D_fake 0.010106
[1453/5000][10/535][149904] Loss_D: -0.018951 Loss_G: 0.018776 Loss_D_real: -0.023210 Loss_D_fake -0.004258
[1453/5000][15/535][149905] Loss_D: -0.019501 Loss_G: 0.006143 Loss_D_real: -0.012330 Loss_D_fake 0.007171
[1453/5000][20/535][149906] Loss_D: -0.019802 Loss_G: 0.002003 Loss_D_real: -0.001785 Loss_D_fake 0.018018
[1453/5000][25/535][149907] Loss_D: -0.019645 Loss_G: -0.006235 Loss_D_real: -0.000724 Loss_D_fake 0.018921
[1453/5000][30/535][149908] Loss_D: -0.020012 Loss_G: 0.022366 Loss_D_real: -0.039139 Loss_D_fake -0.019127
[1453/5000][35/535][149909] Loss_D: -0.018520 Loss_G: 0.021014 Loss_D_real: -0.028811 Loss_D_fake -0.010291
[1453/5000][40/535][149910] Loss_D: -0.018784 Loss_G: 0.009562 Loss_D_real: -0.019669 Loss_D_fake -0.000885
[1453/5000][45/535][149911] Loss_D: -0.020044 Loss_G: 0.003233 Loss_D_real: -0.014677 Loss_D_fake 0.005366
[1453/5000][50/535][149912] Loss_D: -0.022114 Loss_G: 0.010191 Loss_D_real: -0.021440 Loss_D_fake 0.000673
[1453/5000][55/535][149913] Loss_D: -0.020601 Loss_G: 0.003573 Loss_D_real: -0.012686 Loss_D_fake 0.007915
[1453/5000][60/535][149914] Loss_D: -0.019577 Loss_G: 0.016121 Loss_D_real: -0.027258 Loss_D_fake -0.007681
[1453/5000][65/535][149915] Loss_D: -0.020334 Loss_G: -0.005916 Loss_D_real: -0.022738 Loss_D_fake -0.002404
[1453/5000][70/535][149916] Loss_D: -0.020516 Loss_G: 0.025119 Loss_D_real: -0.026014 Loss_D_fake -0.005497
[1453/5000][75/535][149917] Loss_D: -0.018648 Loss_G: 0.030242 Loss_D_real: -0.022614 Loss_D_fake -0.003965
[1453/5000][80/535][149918] Loss_D: -0.020111 Loss_G: 0.008460 Loss_D_real: -0.014040 Loss_D_fake 0.006071
[1453/5000][85/535][149919] Loss_D: -0.020235 Loss_G: -0.000464 Loss_D_real: -0.019668 Loss_D_fake 0.000567
[1453/5000][90/535][149920] Loss_D: -0.019453 Loss_G: 0.016172 Loss_D_real: -0.019790 Loss_D_fake -0.000338
[1453/5000][95/535][149921] Loss_D: -0.019713 Loss_G: -0.005731 Loss_D_real: -0.011589 Loss_D_fake 0.008123
[1453/5000][100/535][149922] Loss_D: -0.019816 Loss_G: 0.002006 Loss_D_real: -0.017235 Loss_D_fake 0.002580
[1453/5000][105/535][149923] Loss_D: -0.020782 Loss_G: -0.000829 Loss_D_real: -0.013687 Loss_D_fake 0.007095
[1453/5000][110/535][149924] Loss_D: -0.020654 Loss_G: 0.028728 Loss_D_real: -0.028256 Loss_D_fake -0.007602
[1453/5000][115/535][149925] Loss_D: -0.020366 Loss_G: -0.001202 Loss_D_real: -0.004559 Loss_D_fake 0.015807
[1453/5000][120/535][149926] Loss_D: -0.020889 Loss_G: -0.005046 Loss_D_real: -0.012440 Loss_D_fake 0.008449
[1453/5000][125/535][149927] Loss_D: -0.022162 Loss_G: -0.000988 Loss_D_real: -0.005497 Loss_D_fake 0.016665
[1453/5000][130/535][149928] Loss_D: -0.020767 Loss_G: 0.011247 Loss_D_real: -0.017443 Loss_D_fake 0.003324
[1453/5000][135/535][149929] Loss_D: -0.020560 Loss_G: -0.008248 Loss_D_real: 0.008094 Loss_D_fake 0.028654
[1453/5000][140/535][149930] Loss_D: -0.020979 Loss_G: 0.005289 Loss_D_real: -0.011697 Loss_D_fake 0.009281
[1453/5000][145/535][149931] Loss_D: -0.020508 Loss_G: 0.001449 Loss_D_real: -0.004438 Loss_D_fake 0.016070
[1453/5000][150/535][149932] Loss_D: -0.023029 Loss_G: -0.002223 Loss_D_real: -0.028065 Loss_D_fake -0.005037
[1453/5000][155/535][149933] Loss_D: -0.020577 Loss_G: 0.009153 Loss_D_real: -0.009754 Loss_D_fake 0.010822
[1453/5000][160/535][149934] Loss_D: -0.018619 Loss_G: 0.037569 Loss_D_real: -0.031076 Loss_D_fake -0.012456
[1453/5000][165/535][149935] Loss_D: -0.019948 Loss_G: 0.001124 Loss_D_real: -0.024452 Loss_D_fake -0.004503
[1453/5000][170/535][149936] Loss_D: -0.019978 Loss_G: 0.000722 Loss_D_real: -0.005574 Loss_D_fake 0.014404
[1453/5000][175/535][149937] Loss_D: -0.021034 Loss_G: 0.010212 Loss_D_real: -0.018022 Loss_D_fake 0.003013
[1453/5000][180/535][149938] Loss_D: -0.020533 Loss_G: 0.006904 Loss_D_real: -0.018220 Loss_D_fake 0.002314
[1453/5000][185/535][149939] Loss_D: -0.020424 Loss_G: 0.001537 Loss_D_real: -0.008739 Loss_D_fake 0.011684
[1453/5000][190/535][149940] Loss_D: -0.020947 Loss_G: 0.023134 Loss_D_real: -0.030006 Loss_D_fake -0.009059
[1453/5000][195/535][149941] Loss_D: -0.020176 Loss_G: 0.011865 Loss_D_real: -0.031054 Loss_D_fake -0.010878
[1453/5000][200/535][149942] Loss_D: -0.020704 Loss_G: 0.007261 Loss_D_real: -0.016447 Loss_D_fake 0.004257
[1453/5000][205/535][149943] Loss_D: -0.021394 Loss_G: 0.023671 Loss_D_real: -0.019810 Loss_D_fake 0.001583
[1453/5000][210/535][149944] Loss_D: -0.021895 Loss_G: -0.000957 Loss_D_real: -0.007262 Loss_D_fake 0.014634
[1453/5000][215/535][149945] Loss_D: -0.020607 Loss_G: -0.001235 Loss_D_real: -0.020887 Loss_D_fake -0.000279
[1453/5000][220/535][149946] Loss_D: -0.020196 Loss_G: 0.001648 Loss_D_real: -0.005294 Loss_D_fake 0.014902
[1453/5000][225/535][149947] Loss_D: -0.019110 Loss_G: -0.011802 Loss_D_real: -0.007506 Loss_D_fake 0.011604
[1453/5000][230/535][149948] Loss_D: -0.019385 Loss_G: 0.010035 Loss_D_real: -0.001739 Loss_D_fake 0.017647
[1453/5000][235/535][149949] Loss_D: -0.019965 Loss_G: 0.014342 Loss_D_real: -0.023442 Loss_D_fake -0.003477
[1453/5000][240/535][149950] Loss_D: -0.020718 Loss_G: 0.016103 Loss_D_real: -0.018865 Loss_D_fake 0.001854
[1453/5000][245/535][149951] Loss_D: -0.020446 Loss_G: 0.013610 Loss_D_real: -0.018881 Loss_D_fake 0.001565
[1453/5000][250/535][149952] Loss_D: -0.021401 Loss_G: 0.000675 Loss_D_real: -0.018292 Loss_D_fake 0.003109
[1453/5000][255/535][149953] Loss_D: -0.019502 Loss_G: -0.002504 Loss_D_real: -0.005977 Loss_D_fake 0.013525
[1453/5000][260/535][149954] Loss_D: -0.020758 Loss_G: 0.017720 Loss_D_real: -0.008130 Loss_D_fake 0.012628
[1453/5000][265/535][149955] Loss_D: -0.020058 Loss_G: 0.009477 Loss_D_real: -0.029812 Loss_D_fake -0.009754
[1453/5000][270/535][149956] Loss_D: -0.019329 Loss_G: 0.019070 Loss_D_real: -0.021549 Loss_D_fake -0.002220
[1453/5000][275/535][149957] Loss_D: -0.020416 Loss_G: 0.003294 Loss_D_real: -0.018811 Loss_D_fake 0.001604
[1453/5000][280/535][149958] Loss_D: -0.019560 Loss_G: -0.001929 Loss_D_real: -0.014572 Loss_D_fake 0.004988
[1453/5000][285/535][149959] Loss_D: -0.019522 Loss_G: 0.017171 Loss_D_real: -0.029317 Loss_D_fake -0.009796
[1453/5000][290/535][149960] Loss_D: -0.019426 Loss_G: 0.015914 Loss_D_real: -0.032515 Loss_D_fake -0.013089
[1453/5000][295/535][149961] Loss_D: -0.019132 Loss_G: -0.006689 Loss_D_real: -0.011502 Loss_D_fake 0.007630
[1453/5000][300/535][149962] Loss_D: -0.019788 Loss_G: 0.020764 Loss_D_real: -0.021795 Loss_D_fake -0.002007
[1453/5000][305/535][149963] Loss_D: -0.019352 Loss_G: 0.028665 Loss_D_real: -0.026453 Loss_D_fake -0.007100
[1453/5000][310/535][149964] Loss_D: -0.020814 Loss_G: 0.001092 Loss_D_real: -0.011471 Loss_D_fake 0.009343
[1453/5000][315/535][149965] Loss_D: -0.018896 Loss_G: 0.007598 Loss_D_real: -0.016639 Loss_D_fake 0.002257
[1453/5000][320/535][149966] Loss_D: -0.019499 Loss_G: 0.012830 Loss_D_real: -0.021121 Loss_D_fake -0.001621
[1453/5000][325/535][149967] Loss_D: -0.019735 Loss_G: 0.017635 Loss_D_real: -0.015896 Loss_D_fake 0.003839
[1453/5000][330/535][149968] Loss_D: -0.019024 Loss_G: 0.020092 Loss_D_real: -0.022500 Loss_D_fake -0.003476
[1453/5000][335/535][149969] Loss_D: -0.019478 Loss_G: -0.003541 Loss_D_real: -0.010536 Loss_D_fake 0.008942
[1453/5000][340/535][149970] Loss_D: -0.019024 Loss_G: 0.000676 Loss_D_real: -0.007318 Loss_D_fake 0.011706
[1453/5000][345/535][149971] Loss_D: -0.020092 Loss_G: 0.018819 Loss_D_real: -0.011776 Loss_D_fake 0.008316
[1453/5000][350/535][149972] Loss_D: -0.020048 Loss_G: 0.010378 Loss_D_real: -0.012885 Loss_D_fake 0.007163
[1453/5000][355/535][149973] Loss_D: -0.019749 Loss_G: 0.003115 Loss_D_real: -0.019248 Loss_D_fake 0.000501
[1453/5000][360/535][149974] Loss_D: -0.020650 Loss_G: 0.008053 Loss_D_real: -0.016238 Loss_D_fake 0.004412
[1453/5000][365/535][149975] Loss_D: -0.019834 Loss_G: 0.014841 Loss_D_real: -0.019378 Loss_D_fake 0.000456
[1453/5000][370/535][149976] Loss_D: -0.017844 Loss_G: 0.018961 Loss_D_real: -0.021100 Loss_D_fake -0.003256
[1453/5000][375/535][149977] Loss_D: -0.018039 Loss_G: -0.004120 Loss_D_real: -0.009915 Loss_D_fake 0.008124
[1453/5000][380/535][149978] Loss_D: -0.020333 Loss_G: -0.003476 Loss_D_real: -0.004576 Loss_D_fake 0.015757
[1453/5000][385/535][149979] Loss_D: -0.019664 Loss_G: 0.016601 Loss_D_real: -0.017399 Loss_D_fake 0.002265
[1453/5000][390/535][149980] Loss_D: -0.019192 Loss_G: 0.007803 Loss_D_real: -0.015365 Loss_D_fake 0.003826
[1453/5000][395/535][149981] Loss_D: -0.019640 Loss_G: 0.011997 Loss_D_real: -0.012322 Loss_D_fake 0.007317
[1453/5000][400/535][149982] Loss_D: -0.018800 Loss_G: 0.008541 Loss_D_real: -0.018490 Loss_D_fake 0.000310
[1453/5000][405/535][149983] Loss_D: -0.021435 Loss_G: -0.009851 Loss_D_real: -0.025477 Loss_D_fake -0.004042
[1453/5000][410/535][149984] Loss_D: -0.021075 Loss_G: -0.001825 Loss_D_real: -0.010427 Loss_D_fake 0.010648
[1453/5000][415/535][149985] Loss_D: -0.018030 Loss_G: 0.025548 Loss_D_real: -0.033398 Loss_D_fake -0.015369
[1453/5000][420/535][149986] Loss_D: -0.019455 Loss_G: -0.002639 Loss_D_real: 0.000534 Loss_D_fake 0.019990
[1453/5000][425/535][149987] Loss_D: -0.019013 Loss_G: 0.016887 Loss_D_real: -0.028410 Loss_D_fake -0.009398
[1453/5000][430/535][149988] Loss_D: -0.020147 Loss_G: 0.025992 Loss_D_real: -0.027239 Loss_D_fake -0.007092
[1453/5000][435/535][149989] Loss_D: -0.021013 Loss_G: 0.034316 Loss_D_real: -0.031554 Loss_D_fake -0.010541
[1453/5000][440/535][149990] Loss_D: -0.021189 Loss_G: 0.007756 Loss_D_real: -0.034570 Loss_D_fake -0.013382
[1453/5000][445/535][149991] Loss_D: -0.020939 Loss_G: 0.015442 Loss_D_real: -0.039942 Loss_D_fake -0.019003
[1453/5000][450/535][149992] Loss_D: -0.019439 Loss_G: 0.004126 Loss_D_real: -0.008130 Loss_D_fake 0.011309
[1453/5000][455/535][149993] Loss_D: -0.019962 Loss_G: 0.026379 Loss_D_real: -0.025322 Loss_D_fake -0.005360
[1453/5000][460/535][149994] Loss_D: -0.019453 Loss_G: -0.001284 Loss_D_real: 0.001890 Loss_D_fake 0.021344
[1453/5000][465/535][149995] Loss_D: -0.019553 Loss_G: -0.005131 Loss_D_real: -0.003594 Loss_D_fake 0.015959
[1453/5000][470/535][149996] Loss_D: -0.020502 Loss_G: 0.018310 Loss_D_real: -0.029322 Loss_D_fake -0.008820
[1453/5000][475/535][149997] Loss_D: -0.021133 Loss_G: -0.002137 Loss_D_real: -0.003936 Loss_D_fake 0.017198
[1453/5000][480/535][149998] Loss_D: -0.021352 Loss_G: 0.020085 Loss_D_real: -0.023676 Loss_D_fake -0.002324
[1453/5000][485/535][149999] Loss_D: -0.020110 Loss_G: 0.015428 Loss_D_real: -0.024466 Loss_D_fake -0.004356
[1453/5000][490/535][150000] Loss_D: -0.020564 Loss_G: 0.012644 Loss_D_real: -0.018998 Loss_D_fake 0.001566
[1453/5000][535/535][150001] Loss_D: -0.017248 Loss_G: -0.003432 Loss_D_real: 0.009346 Loss_D_fake 0.026594
[1454/5000][5/535][150002] Loss_D: -0.018649 Loss_G: -0.009421 Loss_D_real: -0.005380 Loss_D_fake 0.013270
[1454/5000][10/535][150003] Loss_D: -0.018160 Loss_G: 0.004203 Loss_D_real: -0.014748 Loss_D_fake 0.003412
[1454/5000][15/535][150004] Loss_D: -0.019619 Loss_G: 0.001078 Loss_D_real: -0.014043 Loss_D_fake 0.005576
[1454/5000][20/535][150005] Loss_D: -0.019696 Loss_G: 0.011922 Loss_D_real: -0.020388 Loss_D_fake -0.000692
[1454/5000][25/535][150006] Loss_D: -0.019732 Loss_G: 0.018464 Loss_D_real: -0.026294 Loss_D_fake -0.006562
[1454/5000][30/535][150007] Loss_D: -0.018189 Loss_G: -0.021352 Loss_D_real: 0.004216 Loss_D_fake 0.022405
[1454/5000][35/535][150008] Loss_D: -0.018014 Loss_G: 0.023012 Loss_D_real: -0.022370 Loss_D_fake -0.004356
[1454/5000][40/535][150009] Loss_D: -0.018727 Loss_G: 0.003849 Loss_D_real: -0.012865 Loss_D_fake 0.005861
[1454/5000][45/535][150010] Loss_D: -0.019468 Loss_G: 0.009451 Loss_D_real: -0.022186 Loss_D_fake -0.002718
[1454/5000][50/535][150011] Loss_D: -0.020241 Loss_G: 0.020130 Loss_D_real: -0.011144 Loss_D_fake 0.009097
[1454/5000][55/535][150012] Loss_D: -0.019123 Loss_G: 0.009317 Loss_D_real: -0.012842 Loss_D_fake 0.006281
[1454/5000][60/535][150013] Loss_D: -0.018720 Loss_G: 0.002435 Loss_D_real: -0.003369 Loss_D_fake 0.015351
[1454/5000][65/535][150014] Loss_D: -0.019388 Loss_G: 0.019030 Loss_D_real: -0.032214 Loss_D_fake -0.012826
[1454/5000][70/535][150015] Loss_D: -0.019356 Loss_G: -0.001506 Loss_D_real: -0.006608 Loss_D_fake 0.012748
[1454/5000][75/535][150016] Loss_D: -0.019507 Loss_G: -0.009720 Loss_D_real: -0.005297 Loss_D_fake 0.014209
[1454/5000][80/535][150017] Loss_D: -0.019136 Loss_G: 0.004263 Loss_D_real: -0.020986 Loss_D_fake -0.001851
[1454/5000][85/535][150018] Loss_D: -0.020293 Loss_G: 0.013080 Loss_D_real: -0.022012 Loss_D_fake -0.001719
[1454/5000][90/535][150019] Loss_D: -0.019872 Loss_G: 0.001481 Loss_D_real: -0.010418 Loss_D_fake 0.009454
[1454/5000][95/535][150020] Loss_D: -0.020641 Loss_G: 0.016299 Loss_D_real: -0.031378 Loss_D_fake -0.010737
[1454/5000][100/535][150021] Loss_D: -0.021532 Loss_G: -0.005976 Loss_D_real: -0.012055 Loss_D_fake 0.009477
[1454/5000][105/535][150022] Loss_D: -0.018965 Loss_G: 0.008186 Loss_D_real: -0.012684 Loss_D_fake 0.006281
[1454/5000][110/535][150023] Loss_D: -0.020622 Loss_G: 0.019504 Loss_D_real: -0.025864 Loss_D_fake -0.005242
[1454/5000][115/535][150024] Loss_D: -0.020282 Loss_G: -0.002344 Loss_D_real: -0.010429 Loss_D_fake 0.009853
[1454/5000][120/535][150025] Loss_D: -0.018982 Loss_G: 0.009111 Loss_D_real: -0.017063 Loss_D_fake 0.001919
[1454/5000][125/535][150026] Loss_D: -0.020500 Loss_G: 0.002493 Loss_D_real: -0.012138 Loss_D_fake 0.008362
[1454/5000][130/535][150027] Loss_D: -0.019859 Loss_G: 0.014873 Loss_D_real: -0.024191 Loss_D_fake -0.004333
[1454/5000][135/535][150028] Loss_D: -0.018466 Loss_G: 0.021872 Loss_D_real: -0.031129 Loss_D_fake -0.012663
[1454/5000][140/535][150029] Loss_D: -0.020495 Loss_G: 0.009220 Loss_D_real: -0.008998 Loss_D_fake 0.011496
[1454/5000][145/535][150030] Loss_D: -0.019121 Loss_G: 0.012615 Loss_D_real: -0.021844 Loss_D_fake -0.002723
[1454/5000][150/535][150031] Loss_D: -0.019085 Loss_G: 0.018918 Loss_D_real: -0.031849 Loss_D_fake -0.012763
[1454/5000][155/535][150032] Loss_D: -0.019515 Loss_G: -0.011287 Loss_D_real: -0.001754 Loss_D_fake 0.017761
[1454/5000][160/535][150033] Loss_D: -0.021914 Loss_G: 0.004893 Loss_D_real: -0.002496 Loss_D_fake 0.019418
[1454/5000][165/535][150034] Loss_D: -0.019562 Loss_G: 0.018082 Loss_D_real: -0.025590 Loss_D_fake -0.006029
[1454/5000][170/535][150035] Loss_D: -0.019838 Loss_G: 0.013851 Loss_D_real: -0.023421 Loss_D_fake -0.003583
[1454/5000][175/535][150036] Loss_D: -0.021420 Loss_G: 0.003609 Loss_D_real: -0.011862 Loss_D_fake 0.009559
[1454/5000][180/535][150037] Loss_D: -0.021194 Loss_G: -0.000566 Loss_D_real: -0.006222 Loss_D_fake 0.014971
[1454/5000][185/535][150038] Loss_D: -0.019435 Loss_G: 0.018590 Loss_D_real: -0.039821 Loss_D_fake -0.020386
[1454/5000][190/535][150039] Loss_D: -0.020525 Loss_G: -0.021784 Loss_D_real: -0.001948 Loss_D_fake 0.018578
[1454/5000][195/535][150040] Loss_D: -0.020054 Loss_G: -0.012169 Loss_D_real: 0.001580 Loss_D_fake 0.021634
[1454/5000][200/535][150041] Loss_D: -0.020555 Loss_G: 0.008005 Loss_D_real: -0.027937 Loss_D_fake -0.007382
[1454/5000][205/535][150042] Loss_D: -0.021158 Loss_G: 0.002689 Loss_D_real: -0.004698 Loss_D_fake 0.016460
[1454/5000][210/535][150043] Loss_D: -0.019873 Loss_G: 0.028051 Loss_D_real: -0.030930 Loss_D_fake -0.011057
[1454/5000][215/535][150044] Loss_D: -0.020941 Loss_G: 0.012826 Loss_D_real: -0.017513 Loss_D_fake 0.003429
[1454/5000][220/535][150045] Loss_D: -0.021620 Loss_G: -0.003278 Loss_D_real: -0.021610 Loss_D_fake 0.000010
[1454/5000][225/535][150046] Loss_D: -0.021570 Loss_G: 0.018898 Loss_D_real: -0.011705 Loss_D_fake 0.009865
[1454/5000][230/535][150047] Loss_D: -0.019951 Loss_G: 0.015338 Loss_D_real: -0.020534 Loss_D_fake -0.000583
[1454/5000][235/535][150048] Loss_D: -0.020816 Loss_G: 0.011317 Loss_D_real: -0.023992 Loss_D_fake -0.003177
[1454/5000][240/535][150049] Loss_D: -0.020732 Loss_G: 0.029875 Loss_D_real: -0.025198 Loss_D_fake -0.004466
[1454/5000][245/535][150050] Loss_D: -0.019589 Loss_G: 0.009944 Loss_D_real: -0.030474 Loss_D_fake -0.010885
[1454/5000][250/535][150051] Loss_D: -0.021761 Loss_G: -0.013350 Loss_D_real: -0.013631 Loss_D_fake 0.008129
[1454/5000][255/535][150052] Loss_D: -0.020748 Loss_G: 0.005484 Loss_D_real: -0.028315 Loss_D_fake -0.007568
[1454/5000][260/535][150053] Loss_D: -0.020574 Loss_G: -0.000805 Loss_D_real: -0.002703 Loss_D_fake 0.017871
[1454/5000][265/535][150054] Loss_D: -0.018768 Loss_G: 0.006148 Loss_D_real: -0.022155 Loss_D_fake -0.003386
[1454/5000][270/535][150055] Loss_D: -0.020134 Loss_G: 0.013630 Loss_D_real: -0.018680 Loss_D_fake 0.001454
[1454/5000][275/535][150056] Loss_D: -0.020360 Loss_G: 0.002880 Loss_D_real: -0.020929 Loss_D_fake -0.000569
[1454/5000][280/535][150057] Loss_D: -0.019590 Loss_G: 0.011491 Loss_D_real: -0.020634 Loss_D_fake -0.001044
[1454/5000][285/535][150058] Loss_D: -0.020089 Loss_G: 0.006285 Loss_D_real: -0.009242 Loss_D_fake 0.010847
[1454/5000][290/535][150059] Loss_D: -0.020749 Loss_G: 0.008633 Loss_D_real: 0.002723 Loss_D_fake 0.023472
[1454/5000][295/535][150060] Loss_D: -0.018183 Loss_G: 0.012740 Loss_D_real: -0.028635 Loss_D_fake -0.010451
[1454/5000][300/535][150061] Loss_D: -0.020731 Loss_G: 0.023621 Loss_D_real: -0.036008 Loss_D_fake -0.015277
[1454/5000][305/535][150062] Loss_D: -0.020624 Loss_G: 0.009083 Loss_D_real: -0.016624 Loss_D_fake 0.004000
[1454/5000][310/535][150063] Loss_D: -0.019556 Loss_G: -0.017952 Loss_D_real: -0.001347 Loss_D_fake 0.018210
[1454/5000][315/535][150064] Loss_D: -0.019704 Loss_G: 0.013391 Loss_D_real: -0.015224 Loss_D_fake 0.004480
[1454/5000][320/535][150065] Loss_D: -0.020616 Loss_G: 0.008357 Loss_D_real: -0.020230 Loss_D_fake 0.000386
[1454/5000][325/535][150066] Loss_D: -0.019543 Loss_G: 0.007736 Loss_D_real: -0.022053 Loss_D_fake -0.002510
[1454/5000][330/535][150067] Loss_D: -0.020306 Loss_G: 0.000695 Loss_D_real: -0.008930 Loss_D_fake 0.011375
[1454/5000][335/535][150068] Loss_D: -0.020221 Loss_G: 0.020013 Loss_D_real: -0.026181 Loss_D_fake -0.005959
[1454/5000][340/535][150069] Loss_D: -0.019400 Loss_G: 0.006040 Loss_D_real: -0.024738 Loss_D_fake -0.005338
[1454/5000][345/535][150070] Loss_D: -0.019755 Loss_G: 0.008800 Loss_D_real: -0.033725 Loss_D_fake -0.013969
[1454/5000][350/535][150071] Loss_D: -0.018773 Loss_G: 0.016044 Loss_D_real: -0.015219 Loss_D_fake 0.003554
[1454/5000][355/535][150072] Loss_D: -0.018975 Loss_G: 0.001683 Loss_D_real: -0.020502 Loss_D_fake -0.001527
[1454/5000][360/535][150073] Loss_D: -0.020614 Loss_G: 0.008021 Loss_D_real: -0.024652 Loss_D_fake -0.004038
[1454/5000][365/535][150074] Loss_D: -0.019898 Loss_G: 0.014888 Loss_D_real: -0.024460 Loss_D_fake -0.004562
[1454/5000][370/535][150075] Loss_D: -0.020479 Loss_G: 0.002845 Loss_D_real: -0.018817 Loss_D_fake 0.001663
[1454/5000][375/535][150076] Loss_D: -0.021137 Loss_G: -0.002002 Loss_D_real: -0.001074 Loss_D_fake 0.020063
[1454/5000][380/535][150077] Loss_D: -0.019403 Loss_G: 0.012053 Loss_D_real: -0.018003 Loss_D_fake 0.001400
[1454/5000][385/535][150078] Loss_D: -0.020024 Loss_G: 0.002002 Loss_D_real: -0.030728 Loss_D_fake -0.010705
[1454/5000][390/535][150079] Loss_D: -0.020930 Loss_G: 0.011092 Loss_D_real: -0.013289 Loss_D_fake 0.007642
[1454/5000][395/535][150080] Loss_D: -0.019803 Loss_G: 0.011481 Loss_D_real: -0.011827 Loss_D_fake 0.007976
[1454/5000][400/535][150081] Loss_D: -0.020657 Loss_G: 0.003178 Loss_D_real: -0.018462 Loss_D_fake 0.002195
[1454/5000][405/535][150082] Loss_D: -0.021386 Loss_G: 0.005962 Loss_D_real: -0.015937 Loss_D_fake 0.005449
[1454/5000][410/535][150083] Loss_D: -0.019580 Loss_G: 0.004418 Loss_D_real: -0.007331 Loss_D_fake 0.012249
[1454/5000][415/535][150084] Loss_D: -0.020820 Loss_G: 0.015234 Loss_D_real: -0.012133 Loss_D_fake 0.008687
[1454/5000][420/535][150085] Loss_D: -0.019437 Loss_G: 0.009892 Loss_D_real: -0.025228 Loss_D_fake -0.005790
[1454/5000][425/535][150086] Loss_D: -0.021168 Loss_G: -0.003213 Loss_D_real: -0.011182 Loss_D_fake 0.009986
[1454/5000][430/535][150087] Loss_D: -0.019064 Loss_G: 0.022488 Loss_D_real: -0.017152 Loss_D_fake 0.001912
[1454/5000][435/535][150088] Loss_D: -0.020794 Loss_G: 0.003907 Loss_D_real: -0.015544 Loss_D_fake 0.005250
[1454/5000][440/535][150089] Loss_D: -0.019893 Loss_G: 0.011397 Loss_D_real: -0.023656 Loss_D_fake -0.003763
[1454/5000][445/535][150090] Loss_D: -0.019476 Loss_G: -0.018037 Loss_D_real: -0.014828 Loss_D_fake 0.004649
[1454/5000][450/535][150091] Loss_D: -0.020568 Loss_G: -0.004761 Loss_D_real: -0.003897 Loss_D_fake 0.016671
[1454/5000][455/535][150092] Loss_D: -0.018951 Loss_G: -0.002715 Loss_D_real: 0.008006 Loss_D_fake 0.026957
[1454/5000][460/535][150093] Loss_D: -0.020294 Loss_G: 0.014159 Loss_D_real: -0.018743 Loss_D_fake 0.001551
[1454/5000][465/535][150094] Loss_D: -0.020496 Loss_G: 0.017141 Loss_D_real: -0.015747 Loss_D_fake 0.004749
[1454/5000][470/535][150095] Loss_D: -0.021606 Loss_G: 0.004377 Loss_D_real: -0.022153 Loss_D_fake -0.000547
[1454/5000][475/535][150096] Loss_D: -0.021025 Loss_G: 0.016022 Loss_D_real: -0.016971 Loss_D_fake 0.004054
[1454/5000][480/535][150097] Loss_D: -0.020256 Loss_G: -0.011921 Loss_D_real: 0.003329 Loss_D_fake 0.023585
[1454/5000][485/535][150098] Loss_D: -0.021991 Loss_G: -0.000036 Loss_D_real: -0.014807 Loss_D_fake 0.007185
[1454/5000][490/535][150099] Loss_D: -0.020533 Loss_G: 0.026888 Loss_D_real: -0.018625 Loss_D_fake 0.001908
[1454/5000][495/535][150100] Loss_D: -0.020565 Loss_G: -0.004107 Loss_D_real: -0.011302 Loss_D_fake 0.009263
[1454/5000][500/535][150101] Loss_D: -0.021755 Loss_G: 0.009575 Loss_D_real: -0.020338 Loss_D_fake 0.001417
[1454/5000][505/535][150102] Loss_D: -0.019105 Loss_G: -0.006792 Loss_D_real: 0.005565 Loss_D_fake 0.024670
[1454/5000][510/535][150103] Loss_D: -0.020222 Loss_G: 0.001835 Loss_D_real: -0.019093 Loss_D_fake 0.001129
[1454/5000][515/535][150104] Loss_D: -0.019643 Loss_G: -0.013287 Loss_D_real: 0.002317 Loss_D_fake 0.021960
[1454/5000][520/535][150105] Loss_D: -0.020981 Loss_G: -0.008919 Loss_D_real: 0.004581 Loss_D_fake 0.025562
[1454/5000][525/535][150106] Loss_D: -0.020979 Loss_G: 0.030466 Loss_D_real: -0.022412 Loss_D_fake -0.001433
[1454/5000][530/535][150107] Loss_D: -0.020729 Loss_G: 0.014070 Loss_D_real: -0.009655 Loss_D_fake 0.011074
[1454/5000][535/535][150108] Loss_D: -0.013717 Loss_G: 0.000951 Loss_D_real: -0.008450 Loss_D_fake 0.005267
[1455/5000][5/535][150109] Loss_D: -0.019710 Loss_G: 0.004459 Loss_D_real: -0.013536 Loss_D_fake 0.006174
[1455/5000][10/535][150110] Loss_D: -0.021002 Loss_G: 0.009627 Loss_D_real: -0.023214 Loss_D_fake -0.002212
[1455/5000][15/535][150111] Loss_D: -0.020767 Loss_G: 0.012572 Loss_D_real: -0.013033 Loss_D_fake 0.007734
[1455/5000][20/535][150112] Loss_D: -0.020290 Loss_G: -0.001108 Loss_D_real: -0.014893 Loss_D_fake 0.005398
[1455/5000][25/535][150113] Loss_D: -0.018893 Loss_G: 0.018524 Loss_D_real: -0.033671 Loss_D_fake -0.014778
[1455/5000][30/535][150114] Loss_D: -0.019976 Loss_G: 0.012556 Loss_D_real: -0.017543 Loss_D_fake 0.002433
[1455/5000][35/535][150115] Loss_D: -0.020137 Loss_G: 0.007227 Loss_D_real: -0.008872 Loss_D_fake 0.011266
[1455/5000][40/535][150116] Loss_D: -0.019481 Loss_G: -0.016464 Loss_D_real: -0.010647 Loss_D_fake 0.008835
[1455/5000][45/535][150117] Loss_D: -0.019021 Loss_G: 0.028077 Loss_D_real: -0.018934 Loss_D_fake 0.000088
[1455/5000][50/535][150118] Loss_D: -0.020315 Loss_G: 0.009329 Loss_D_real: -0.020834 Loss_D_fake -0.000520
[1455/5000][55/535][150119] Loss_D: -0.019042 Loss_G: -0.018028 Loss_D_real: -0.007234 Loss_D_fake 0.011808
[1455/5000][60/535][150120] Loss_D: -0.019958 Loss_G: 0.025529 Loss_D_real: -0.019635 Loss_D_fake 0.000322
[1455/5000][65/535][150121] Loss_D: -0.020914 Loss_G: -0.009733 Loss_D_real: -0.010234 Loss_D_fake 0.010680
[1455/5000][70/535][150122] Loss_D: -0.019254 Loss_G: 0.019888 Loss_D_real: -0.017246 Loss_D_fake 0.002007
[1455/5000][75/535][150123] Loss_D: -0.019878 Loss_G: -0.000633 Loss_D_real: -0.010972 Loss_D_fake 0.008906
[1455/5000][80/535][150124] Loss_D: -0.018482 Loss_G: 0.013422 Loss_D_real: -0.016917 Loss_D_fake 0.001565
[1455/5000][85/535][150125] Loss_D: -0.020392 Loss_G: 0.006704 Loss_D_real: -0.021976 Loss_D_fake -0.001583
[1455/5000][90/535][150126] Loss_D: -0.019620 Loss_G: -0.002322 Loss_D_real: -0.026114 Loss_D_fake -0.006493
[1455/5000][95/535][150127] Loss_D: -0.019791 Loss_G: 0.000284 Loss_D_real: -0.021261 Loss_D_fake -0.001469
[1455/5000][100/535][150128] Loss_D: -0.021043 Loss_G: 0.004892 Loss_D_real: -0.015148 Loss_D_fake 0.005895
[1455/5000][105/535][150129] Loss_D: -0.019385 Loss_G: -0.000130 Loss_D_real: -0.027249 Loss_D_fake -0.007863
[1455/5000][110/535][150130] Loss_D: -0.020999 Loss_G: 0.020083 Loss_D_real: -0.013879 Loss_D_fake 0.007120
[1455/5000][115/535][150131] Loss_D: -0.020378 Loss_G: 0.016435 Loss_D_real: -0.016890 Loss_D_fake 0.003488
[1455/5000][120/535][150132] Loss_D: -0.019026 Loss_G: -0.008289 Loss_D_real: -0.007987 Loss_D_fake 0.011039
[1455/5000][125/535][150133] Loss_D: -0.018117 Loss_G: 0.018289 Loss_D_real: -0.021600 Loss_D_fake -0.003483
[1455/5000][130/535][150134] Loss_D: -0.019233 Loss_G: 0.003441 Loss_D_real: -0.012041 Loss_D_fake 0.007192
[1455/5000][135/535][150135] Loss_D: -0.019590 Loss_G: 0.013547 Loss_D_real: -0.008533 Loss_D_fake 0.011056
[1455/5000][140/535][150136] Loss_D: -0.020045 Loss_G: 0.000068 Loss_D_real: -0.000729 Loss_D_fake 0.019316
[1455/5000][145/535][150137] Loss_D: -0.019282 Loss_G: 0.009910 Loss_D_real: -0.025238 Loss_D_fake -0.005956
[1455/5000][150/535][150138] Loss_D: -0.019327 Loss_G: 0.017512 Loss_D_real: -0.020022 Loss_D_fake -0.000695
[1455/5000][155/535][150139] Loss_D: -0.019862 Loss_G: 0.003362 Loss_D_real: -0.036624 Loss_D_fake -0.016762
[1455/5000][160/535][150140] Loss_D: -0.020816 Loss_G: 0.013265 Loss_D_real: -0.025470 Loss_D_fake -0.004654
[1455/5000][165/535][150141] Loss_D: -0.019977 Loss_G: 0.002019 Loss_D_real: -0.014672 Loss_D_fake 0.005305
[1455/5000][170/535][150142] Loss_D: -0.021441 Loss_G: 0.000874 Loss_D_real: -0.005794 Loss_D_fake 0.015646
[1455/5000][175/535][150143] Loss_D: -0.020798 Loss_G: -0.011810 Loss_D_real: -0.000262 Loss_D_fake 0.020536
[1455/5000][180/535][150144] Loss_D: -0.019690 Loss_G: -0.001188 Loss_D_real: -0.004816 Loss_D_fake 0.014874
[1455/5000][185/535][150145] Loss_D: -0.018925 Loss_G: 0.018957 Loss_D_real: -0.020238 Loss_D_fake -0.001313
[1455/5000][190/535][150146] Loss_D: -0.020836 Loss_G: 0.015521 Loss_D_real: -0.017502 Loss_D_fake 0.003334
[1455/5000][195/535][150147] Loss_D: -0.020560 Loss_G: 0.021672 Loss_D_real: -0.028137 Loss_D_fake -0.007578
[1455/5000][200/535][150148] Loss_D: -0.021177 Loss_G: -0.005514 Loss_D_real: -0.010810 Loss_D_fake 0.010367
[1455/5000][205/535][150149] Loss_D: -0.020705 Loss_G: 0.014708 Loss_D_real: -0.010643 Loss_D_fake 0.010062
[1455/5000][210/535][150150] Loss_D: -0.019568 Loss_G: 0.024250 Loss_D_real: -0.024857 Loss_D_fake -0.005288
[1455/5000][215/535][150151] Loss_D: -0.020985 Loss_G: -0.003106 Loss_D_real: -0.006525 Loss_D_fake 0.014460
[1455/5000][220/535][150152] Loss_D: -0.019937 Loss_G: -0.011947 Loss_D_real: -0.007435 Loss_D_fake 0.012502
[1455/5000][225/535][150153] Loss_D: -0.019455 Loss_G: 0.012672 Loss_D_real: -0.007275 Loss_D_fake 0.012180
[1455/5000][230/535][150154] Loss_D: -0.019655 Loss_G: 0.004603 Loss_D_real: -0.009793 Loss_D_fake 0.009862
[1455/5000][235/535][150155] Loss_D: -0.019211 Loss_G: 0.003016 Loss_D_real: -0.021746 Loss_D_fake -0.002535
[1455/5000][240/535][150156] Loss_D: -0.020734 Loss_G: 0.011966 Loss_D_real: -0.027583 Loss_D_fake -0.006849
[1455/5000][245/535][150157] Loss_D: -0.020280 Loss_G: 0.000527 Loss_D_real: -0.006754 Loss_D_fake 0.013526
[1455/5000][250/535][150158] Loss_D: -0.019293 Loss_G: 0.022671 Loss_D_real: -0.025283 Loss_D_fake -0.005989
[1455/5000][255/535][150159] Loss_D: -0.018205 Loss_G: 0.007814 Loss_D_real: -0.009944 Loss_D_fake 0.008260
[1455/5000][260/535][150160] Loss_D: -0.020433 Loss_G: -0.010040 Loss_D_real: -0.014422 Loss_D_fake 0.006011
[1455/5000][265/535][150161] Loss_D: -0.019659 Loss_G: -0.000156 Loss_D_real: -0.003636 Loss_D_fake 0.016023
[1455/5000][270/535][150162] Loss_D: -0.018396 Loss_G: 0.010992 Loss_D_real: -0.029418 Loss_D_fake -0.011022
[1455/5000][275/535][150163] Loss_D: -0.017782 Loss_G: -0.014749 Loss_D_real: 0.007367 Loss_D_fake 0.025149
[1455/5000][280/535][150164] Loss_D: -0.019991 Loss_G: 0.015477 Loss_D_real: -0.021062 Loss_D_fake -0.001071
[1455/5000][285/535][150165] Loss_D: -0.019127 Loss_G: 0.005678 Loss_D_real: -0.016826 Loss_D_fake 0.002301
[1455/5000][290/535][150166] Loss_D: -0.020432 Loss_G: 0.019328 Loss_D_real: -0.027666 Loss_D_fake -0.007233
[1455/5000][295/535][150167] Loss_D: -0.020559 Loss_G: 0.010724 Loss_D_real: -0.020077 Loss_D_fake 0.000483
[1455/5000][300/535][150168] Loss_D: -0.019344 Loss_G: -0.000433 Loss_D_real: -0.002891 Loss_D_fake 0.016453
[1455/5000][305/535][150169] Loss_D: -0.019982 Loss_G: -0.003079 Loss_D_real: -0.022334 Loss_D_fake -0.002352
[1455/5000][310/535][150170] Loss_D: -0.019977 Loss_G: 0.021488 Loss_D_real: -0.027190 Loss_D_fake -0.007212
[1455/5000][315/535][150171] Loss_D: -0.019031 Loss_G: 0.007061 Loss_D_real: -0.023646 Loss_D_fake -0.004615
[1455/5000][320/535][150172] Loss_D: -0.019167 Loss_G: -0.009827 Loss_D_real: -0.003603 Loss_D_fake 0.015564
[1455/5000][325/535][150173] Loss_D: -0.019756 Loss_G: -0.006017 Loss_D_real: -0.013145 Loss_D_fake 0.006611
[1455/5000][330/535][150174] Loss_D: -0.020819 Loss_G: 0.005496 Loss_D_real: -0.014945 Loss_D_fake 0.005873
[1455/5000][335/535][150175] Loss_D: -0.022222 Loss_G: 0.013575 Loss_D_real: -0.018570 Loss_D_fake 0.003652
[1455/5000][340/535][150176] Loss_D: -0.023010 Loss_G: 0.006777 Loss_D_real: -0.004873 Loss_D_fake 0.018137
[1455/5000][345/535][150177] Loss_D: -0.020353 Loss_G: 0.003654 Loss_D_real: -0.003474 Loss_D_fake 0.016878
[1455/5000][350/535][150178] Loss_D: -0.019739 Loss_G: 0.001916 Loss_D_real: 0.003699 Loss_D_fake 0.023438
[1455/5000][355/535][150179] Loss_D: -0.020879 Loss_G: 0.010269 Loss_D_real: -0.003785 Loss_D_fake 0.017094
[1455/5000][360/535][150180] Loss_D: -0.020968 Loss_G: -0.000896 Loss_D_real: 0.002582 Loss_D_fake 0.023550
[1455/5000][365/535][150181] Loss_D: -0.019300 Loss_G: 0.022294 Loss_D_real: -0.033961 Loss_D_fake -0.014661
[1455/5000][370/535][150182] Loss_D: -0.019082 Loss_G: -0.000226 Loss_D_real: -0.011767 Loss_D_fake 0.007315
[1455/5000][375/535][150183] Loss_D: -0.019485 Loss_G: 0.024597 Loss_D_real: -0.021283 Loss_D_fake -0.001798
[1455/5000][380/535][150184] Loss_D: -0.018407 Loss_G: -0.009558 Loss_D_real: 0.008194 Loss_D_fake 0.026601
[1455/5000][385/535][150185] Loss_D: -0.018220 Loss_G: -0.015984 Loss_D_real: 0.004148 Loss_D_fake 0.022368
[1455/5000][390/535][150186] Loss_D: -0.020190 Loss_G: 0.003249 Loss_D_real: -0.027128 Loss_D_fake -0.006938
[1455/5000][395/535][150187] Loss_D: -0.018723 Loss_G: -0.001806 Loss_D_real: -0.012143 Loss_D_fake 0.006580
[1455/5000][400/535][150188] Loss_D: -0.019874 Loss_G: -0.014035 Loss_D_real: -0.001383 Loss_D_fake 0.018491
[1455/5000][405/535][150189] Loss_D: -0.019834 Loss_G: 0.010813 Loss_D_real: -0.020816 Loss_D_fake -0.000983
[1455/5000][410/535][150190] Loss_D: -0.020019 Loss_G: -0.002144 Loss_D_real: -0.013709 Loss_D_fake 0.006310
[1455/5000][415/535][150191] Loss_D: -0.020749 Loss_G: 0.027339 Loss_D_real: -0.020453 Loss_D_fake 0.000296
[1455/5000][420/535][150192] Loss_D: -0.019223 Loss_G: 0.013184 Loss_D_real: -0.011687 Loss_D_fake 0.007536
[1455/5000][425/535][150193] Loss_D: -0.018724 Loss_G: -0.002165 Loss_D_real: -0.007915 Loss_D_fake 0.010810
[1455/5000][430/535][150194] Loss_D: -0.021487 Loss_G: 0.000763 Loss_D_real: -0.019835 Loss_D_fake 0.001652
[1455/5000][435/535][150195] Loss_D: -0.020468 Loss_G: 0.021430 Loss_D_real: -0.030102 Loss_D_fake -0.009634
[1455/5000][440/535][150196] Loss_D: -0.020113 Loss_G: 0.002001 Loss_D_real: -0.005573 Loss_D_fake 0.014540
[1455/5000][445/535][150197] Loss_D: -0.020604 Loss_G: -0.002737 Loss_D_real: -0.004239 Loss_D_fake 0.016366
[1455/5000][450/535][150198] Loss_D: -0.020883 Loss_G: -0.004969 Loss_D_real: -0.019895 Loss_D_fake 0.000988
[1455/5000][455/535][150199] Loss_D: -0.022537 Loss_G: 0.006025 Loss_D_real: -0.007685 Loss_D_fake 0.014851
[1455/5000][460/535][150200] Loss_D: -0.019796 Loss_G: 0.017474 Loss_D_real: -0.026760 Loss_D_fake -0.006964
[1455/5000][465/535][150201] Loss_D: -0.019988 Loss_G: -0.015618 Loss_D_real: -0.005725 Loss_D_fake 0.014264
[1455/5000][470/535][150202] Loss_D: -0.020479 Loss_G: 0.017334 Loss_D_real: -0.024447 Loss_D_fake -0.003969
[1455/5000][475/535][150203] Loss_D: -0.020417 Loss_G: -0.002326 Loss_D_real: -0.008943 Loss_D_fake 0.011474
[1455/5000][480/535][150204] Loss_D: -0.019535 Loss_G: 0.015379 Loss_D_real: -0.017509 Loss_D_fake 0.002026
[1455/5000][485/535][150205] Loss_D: -0.020232 Loss_G: -0.008230 Loss_D_real: -0.009412 Loss_D_fake 0.010820
[1455/5000][490/535][150206] Loss_D: -0.020326 Loss_G: -0.009839 Loss_D_real: -0.007415 Loss_D_fake 0.012911
[1455/5000][495/535][150207] Loss_D: -0.020857 Loss_G: -0.002925 Loss_D_real: -0.002305 Loss_D_fake 0.018552
[1455/5000][500/535][150208] Loss_D: -0.019889 Loss_G: 0.025871 Loss_D_real: -0.027877 Loss_D_fake -0.007988
[1455/5000][505/535][150209] Loss_D: -0.020575 Loss_G: 0.011119 Loss_D_real: -0.020415 Loss_D_fake 0.000160
[1455/5000][510/535][150210] Loss_D: -0.021042 Loss_G: -0.002993 Loss_D_real: -0.006249 Loss_D_fake 0.014793
[1455/5000][515/535][150211] Loss_D: -0.020044 Loss_G: 0.014750 Loss_D_real: -0.014534 Loss_D_fake 0.005510
[1455/5000][520/535][150212] Loss_D: -0.019615 Loss_G: 0.005980 Loss_D_real: -0.023146 Loss_D_fake -0.003531
[1455/5000][525/535][150213] Loss_D: -0.018131 Loss_G: -0.010764 Loss_D_real: 0.009253 Loss_D_fake 0.027385
[1455/5000][530/535][150214] Loss_D: -0.018403 Loss_G: -0.005409 Loss_D_real: 0.009980 Loss_D_fake 0.028383
[1455/5000][535/535][150215] Loss_D: -0.020234 Loss_G: 0.014453 Loss_D_real: -0.024199 Loss_D_fake -0.003966
[1456/5000][5/535][150216] Loss_D: -0.020287 Loss_G: 0.007093 Loss_D_real: -0.025199 Loss_D_fake -0.004911
[1456/5000][10/535][150217] Loss_D: -0.021362 Loss_G: 0.014469 Loss_D_real: -0.019277 Loss_D_fake 0.002085
[1456/5000][15/535][150218] Loss_D: -0.020041 Loss_G: 0.014006 Loss_D_real: -0.037741 Loss_D_fake -0.017700
[1456/5000][20/535][150219] Loss_D: -0.020371 Loss_G: 0.000666 Loss_D_real: -0.011168 Loss_D_fake 0.009203
[1456/5000][25/535][150220] Loss_D: -0.019563 Loss_G: -0.001512 Loss_D_real: -0.013215 Loss_D_fake 0.006349
[1456/5000][30/535][150221] Loss_D: -0.020561 Loss_G: -0.002263 Loss_D_real: -0.000610 Loss_D_fake 0.019951
[1456/5000][35/535][150222] Loss_D: -0.020102 Loss_G: 0.005637 Loss_D_real: -0.026411 Loss_D_fake -0.006308
[1456/5000][40/535][150223] Loss_D: -0.021042 Loss_G: 0.012763 Loss_D_real: -0.021402 Loss_D_fake -0.000360
[1456/5000][45/535][150224] Loss_D: -0.020982 Loss_G: 0.000526 Loss_D_real: -0.019864 Loss_D_fake 0.001118
[1456/5000][50/535][150225] Loss_D: -0.019077 Loss_G: 0.000338 Loss_D_real: -0.017671 Loss_D_fake 0.001406
[1456/5000][55/535][150226] Loss_D: -0.020513 Loss_G: 0.017873 Loss_D_real: -0.022181 Loss_D_fake -0.001668
[1456/5000][60/535][150227] Loss_D: -0.019406 Loss_G: 0.004268 Loss_D_real: -0.004553 Loss_D_fake 0.014853
[1456/5000][65/535][150228] Loss_D: -0.019439 Loss_G: 0.011321 Loss_D_real: -0.013527 Loss_D_fake 0.005912
[1456/5000][70/535][150229] Loss_D: -0.020008 Loss_G: 0.014729 Loss_D_real: -0.021766 Loss_D_fake -0.001757
[1456/5000][75/535][150230] Loss_D: -0.021306 Loss_G: 0.008892 Loss_D_real: -0.014283 Loss_D_fake 0.007023
[1456/5000][80/535][150231] Loss_D: -0.019318 Loss_G: 0.010396 Loss_D_real: -0.020063 Loss_D_fake -0.000745
[1456/5000][85/535][150232] Loss_D: -0.019460 Loss_G: 0.002386 Loss_D_real: -0.006203 Loss_D_fake 0.013257
[1456/5000][90/535][150233] Loss_D: -0.021614 Loss_G: -0.000574 Loss_D_real: -0.012806 Loss_D_fake 0.008808
[1456/5000][95/535][150234] Loss_D: -0.020473 Loss_G: 0.017188 Loss_D_real: -0.012950 Loss_D_fake 0.007524
[1456/5000][100/535][150235] Loss_D: -0.018509 Loss_G: 0.020821 Loss_D_real: -0.028544 Loss_D_fake -0.010036
[1456/5000][105/535][150236] Loss_D: -0.020331 Loss_G: 0.000653 Loss_D_real: -0.029455 Loss_D_fake -0.009125
[1456/5000][110/535][150237] Loss_D: -0.020104 Loss_G: 0.014794 Loss_D_real: -0.016487 Loss_D_fake 0.003617
[1456/5000][115/535][150238] Loss_D: -0.018751 Loss_G: -0.003554 Loss_D_real: -0.002249 Loss_D_fake 0.016503
[1456/5000][120/535][150239] Loss_D: -0.017826 Loss_G: 0.023551 Loss_D_real: -0.028714 Loss_D_fake -0.010888
[1456/5000][125/535][150240] Loss_D: -0.019577 Loss_G: 0.000173 Loss_D_real: -0.010993 Loss_D_fake 0.008584
[1456/5000][130/535][150241] Loss_D: -0.020092 Loss_G: 0.027249 Loss_D_real: -0.028780 Loss_D_fake -0.008688
[1456/5000][135/535][150242] Loss_D: -0.020632 Loss_G: -0.009558 Loss_D_real: -0.003110 Loss_D_fake 0.017523
[1456/5000][140/535][150243] Loss_D: -0.020320 Loss_G: 0.010699 Loss_D_real: -0.020432 Loss_D_fake -0.000111
[1456/5000][145/535][150244] Loss_D: -0.019400 Loss_G: 0.020160 Loss_D_real: -0.020387 Loss_D_fake -0.000987
[1456/5000][150/535][150245] Loss_D: -0.018509 Loss_G: 0.007610 Loss_D_real: -0.011097 Loss_D_fake 0.007413
[1456/5000][155/535][150246] Loss_D: -0.019997 Loss_G: -0.007488 Loss_D_real: -0.007743 Loss_D_fake 0.012254
[1456/5000][160/535][150247] Loss_D: -0.019380 Loss_G: 0.007868 Loss_D_real: -0.019583 Loss_D_fake -0.000202
[1456/5000][165/535][150248] Loss_D: -0.019551 Loss_G: 0.006112 Loss_D_real: -0.024477 Loss_D_fake -0.004926
[1456/5000][170/535][150249] Loss_D: -0.020698 Loss_G: 0.017399 Loss_D_real: -0.016391 Loss_D_fake 0.004307
[1456/5000][175/535][150250] Loss_D: -0.020324 Loss_G: -0.008813 Loss_D_real: 0.000162 Loss_D_fake 0.020486
[1456/5000][180/535][150251] Loss_D: -0.021259 Loss_G: 0.005504 Loss_D_real: -0.021478 Loss_D_fake -0.000219
[1456/5000][185/535][150252] Loss_D: -0.020995 Loss_G: 0.012855 Loss_D_real: -0.012717 Loss_D_fake 0.008278
[1456/5000][190/535][150253] Loss_D: -0.020438 Loss_G: -0.008751 Loss_D_real: -0.017600 Loss_D_fake 0.002838
[1456/5000][195/535][150254] Loss_D: -0.019412 Loss_G: -0.003289 Loss_D_real: -0.011551 Loss_D_fake 0.007861
[1456/5000][200/535][150255] Loss_D: -0.020759 Loss_G: 0.010135 Loss_D_real: -0.017588 Loss_D_fake 0.003171
[1456/5000][205/535][150256] Loss_D: -0.019481 Loss_G: -0.008300 Loss_D_real: -0.002392 Loss_D_fake 0.017090
[1456/5000][210/535][150257] Loss_D: -0.019079 Loss_G: 0.003983 Loss_D_real: -0.021810 Loss_D_fake -0.002730
[1456/5000][215/535][150258] Loss_D: -0.019783 Loss_G: 0.003754 Loss_D_real: -0.011381 Loss_D_fake 0.008402
[1456/5000][220/535][150259] Loss_D: -0.018858 Loss_G: 0.019067 Loss_D_real: -0.034134 Loss_D_fake -0.015275
[1456/5000][225/535][150260] Loss_D: -0.020838 Loss_G: 0.000186 Loss_D_real: -0.015147 Loss_D_fake 0.005690
[1456/5000][230/535][150261] Loss_D: -0.020394 Loss_G: 0.007299 Loss_D_real: -0.023378 Loss_D_fake -0.002984
[1456/5000][235/535][150262] Loss_D: -0.019648 Loss_G: 0.010666 Loss_D_real: -0.009439 Loss_D_fake 0.010210
[1456/5000][240/535][150263] Loss_D: -0.020051 Loss_G: 0.015086 Loss_D_real: -0.017304 Loss_D_fake 0.002747
[1456/5000][245/535][150264] Loss_D: -0.020835 Loss_G: 0.000032 Loss_D_real: -0.017975 Loss_D_fake 0.002860
[1456/5000][250/535][150265] Loss_D: -0.019834 Loss_G: 0.019098 Loss_D_real: -0.017256 Loss_D_fake 0.002579
[1456/5000][255/535][150266] Loss_D: -0.021292 Loss_G: 0.010355 Loss_D_real: -0.017778 Loss_D_fake 0.003514
[1456/5000][260/535][150267] Loss_D: -0.022019 Loss_G: 0.003109 Loss_D_real: -0.026343 Loss_D_fake -0.004324
[1456/5000][265/535][150268] Loss_D: -0.019777 Loss_G: 0.018546 Loss_D_real: -0.017567 Loss_D_fake 0.002211
[1456/5000][270/535][150269] Loss_D: -0.020156 Loss_G: 0.002672 Loss_D_real: -0.023233 Loss_D_fake -0.003076
[1456/5000][275/535][150270] Loss_D: -0.019772 Loss_G: -0.014563 Loss_D_real: -0.013272 Loss_D_fake 0.006500
[1456/5000][280/535][150271] Loss_D: -0.019378 Loss_G: 0.016962 Loss_D_real: -0.027423 Loss_D_fake -0.008045
[1456/5000][285/535][150272] Loss_D: -0.019947 Loss_G: 0.017867 Loss_D_real: -0.022933 Loss_D_fake -0.002987
[1456/5000][290/535][150273] Loss_D: -0.019879 Loss_G: 0.021800 Loss_D_real: -0.023809 Loss_D_fake -0.003930
[1456/5000][295/535][150274] Loss_D: -0.019065 Loss_G: 0.017871 Loss_D_real: -0.017882 Loss_D_fake 0.001183
[1456/5000][300/535][150275] Loss_D: -0.020733 Loss_G: -0.007360 Loss_D_real: -0.015863 Loss_D_fake 0.004869
[1456/5000][305/535][150276] Loss_D: -0.019911 Loss_G: 0.026838 Loss_D_real: -0.023570 Loss_D_fake -0.003659
[1456/5000][310/535][150277] Loss_D: -0.018897 Loss_G: -0.015426 Loss_D_real: -0.003161 Loss_D_fake 0.015736
[1456/5000][315/535][150278] Loss_D: -0.018157 Loss_G: -0.011524 Loss_D_real: -0.006135 Loss_D_fake 0.012022
[1456/5000][320/535][150279] Loss_D: -0.018928 Loss_G: 0.027633 Loss_D_real: -0.025023 Loss_D_fake -0.006095
[1456/5000][325/535][150280] Loss_D: -0.020795 Loss_G: -0.002806 Loss_D_real: -0.007577 Loss_D_fake 0.013217
[1456/5000][330/535][150281] Loss_D: -0.019660 Loss_G: 0.004956 Loss_D_real: -0.024104 Loss_D_fake -0.004444
[1456/5000][335/535][150282] Loss_D: -0.020270 Loss_G: -0.017380 Loss_D_real: -0.011714 Loss_D_fake 0.008556
[1456/5000][340/535][150283] Loss_D: -0.018304 Loss_G: 0.017200 Loss_D_real: -0.026240 Loss_D_fake -0.007936
[1456/5000][345/535][150284] Loss_D: -0.020617 Loss_G: 0.003124 Loss_D_real: -0.017430 Loss_D_fake 0.003187
[1456/5000][350/535][150285] Loss_D: -0.021459 Loss_G: 0.016235 Loss_D_real: -0.007678 Loss_D_fake 0.013781
[1456/5000][355/535][150286] Loss_D: -0.019390 Loss_G: -0.002416 Loss_D_real: -0.011754 Loss_D_fake 0.007636
[1456/5000][360/535][150287] Loss_D: -0.020073 Loss_G: 0.002526 Loss_D_real: -0.013861 Loss_D_fake 0.006212
[1456/5000][365/535][150288] Loss_D: -0.019862 Loss_G: 0.002662 Loss_D_real: -0.009740 Loss_D_fake 0.010122
[1456/5000][370/535][150289] Loss_D: -0.020942 Loss_G: -0.000259 Loss_D_real: -0.006684 Loss_D_fake 0.014259
[1456/5000][375/535][150290] Loss_D: -0.020016 Loss_G: 0.002308 Loss_D_real: -0.023116 Loss_D_fake -0.003100
[1456/5000][380/535][150291] Loss_D: -0.020559 Loss_G: 0.009929 Loss_D_real: -0.019583 Loss_D_fake 0.000977
[1456/5000][385/535][150292] Loss_D: -0.019523 Loss_G: -0.007412 Loss_D_real: -0.016729 Loss_D_fake 0.002795
[1456/5000][390/535][150293] Loss_D: -0.020553 Loss_G: 0.005748 Loss_D_real: -0.024090 Loss_D_fake -0.003537
[1456/5000][395/535][150294] Loss_D: -0.019161 Loss_G: 0.021552 Loss_D_real: -0.008416 Loss_D_fake 0.010745
[1456/5000][400/535][150295] Loss_D: -0.019623 Loss_G: -0.010432 Loss_D_real: -0.008404 Loss_D_fake 0.011219
[1456/5000][405/535][150296] Loss_D: -0.019342 Loss_G: 0.020947 Loss_D_real: -0.019765 Loss_D_fake -0.000422
[1456/5000][410/535][150297] Loss_D: -0.020587 Loss_G: 0.010356 Loss_D_real: -0.031370 Loss_D_fake -0.010782
[1456/5000][415/535][150298] Loss_D: -0.021070 Loss_G: 0.012434 Loss_D_real: -0.024577 Loss_D_fake -0.003507
[1456/5000][420/535][150299] Loss_D: -0.019996 Loss_G: 0.009674 Loss_D_real: -0.003257 Loss_D_fake 0.016740
[1456/5000][425/535][150300] Loss_D: -0.019399 Loss_G: 0.021992 Loss_D_real: -0.029845 Loss_D_fake -0.010446
[1456/5000][430/535][150301] Loss_D: -0.020889 Loss_G: -0.014917 Loss_D_real: -0.002210 Loss_D_fake 0.018679
[1456/5000][435/535][150302] Loss_D: -0.019801 Loss_G: 0.011029 Loss_D_real: -0.015167 Loss_D_fake 0.004634
[1456/5000][440/535][150303] Loss_D: -0.020581 Loss_G: 0.017396 Loss_D_real: -0.021588 Loss_D_fake -0.001008
[1456/5000][445/535][150304] Loss_D: -0.019993 Loss_G: 0.004812 Loss_D_real: -0.007048 Loss_D_fake 0.012946
[1456/5000][450/535][150305] Loss_D: -0.019072 Loss_G: -0.011439 Loss_D_real: -0.004049 Loss_D_fake 0.015022
[1456/5000][455/535][150306] Loss_D: -0.020319 Loss_G: 0.009964 Loss_D_real: -0.014394 Loss_D_fake 0.005925
[1456/5000][460/535][150307] Loss_D: -0.019970 Loss_G: 0.024290 Loss_D_real: -0.034694 Loss_D_fake -0.014724
[1456/5000][465/535][150308] Loss_D: -0.020021 Loss_G: -0.003044 Loss_D_real: -0.009070 Loss_D_fake 0.010952
[1456/5000][470/535][150309] Loss_D: -0.020394 Loss_G: 0.016989 Loss_D_real: -0.019480 Loss_D_fake 0.000914
[1456/5000][475/535][150310] Loss_D: -0.021078 Loss_G: -0.000935 Loss_D_real: -0.009340 Loss_D_fake 0.011737
[1456/5000][480/535][150311] Loss_D: -0.019013 Loss_G: 0.030497 Loss_D_real: -0.025728 Loss_D_fake -0.006715
[1456/5000][485/535][150312] Loss_D: -0.019855 Loss_G: -0.009244 Loss_D_real: -0.018743 Loss_D_fake 0.001113
[1456/5000][490/535][150313] Loss_D: -0.019827 Loss_G: 0.030208 Loss_D_real: -0.031092 Loss_D_fake -0.011265
[1456/5000][495/535][150314] Loss_D: -0.019816 Loss_G: 0.008010 Loss_D_real: -0.016361 Loss_D_fake 0.003455
[1456/5000][500/535][150315] Loss_D: -0.021173 Loss_G: -0.002566 Loss_D_real: -0.012492 Loss_D_fake 0.008681
[1456/5000][505/535][150316] Loss_D: -0.021593 Loss_G: 0.019281 Loss_D_real: -0.013910 Loss_D_fake 0.007683
[1456/5000][510/535][150317] Loss_D: -0.019995 Loss_G: 0.004241 Loss_D_real: -0.020020 Loss_D_fake -0.000025
[1456/5000][515/535][150318] Loss_D: -0.019266 Loss_G: -0.003238 Loss_D_real: -0.015948 Loss_D_fake 0.003318
[1456/5000][520/535][150319] Loss_D: -0.019287 Loss_G: -0.009802 Loss_D_real: -0.002116 Loss_D_fake 0.017171
[1456/5000][525/535][150320] Loss_D: -0.020518 Loss_G: 0.009964 Loss_D_real: -0.005116 Loss_D_fake 0.015403
[1456/5000][530/535][150321] Loss_D: -0.017596 Loss_G: 0.027181 Loss_D_real: -0.039395 Loss_D_fake -0.021799
[1456/5000][535/535][150322] Loss_D: -0.020248 Loss_G: 0.004486 Loss_D_real: -0.007403 Loss_D_fake 0.012846
[1457/5000][5/535][150323] Loss_D: -0.019940 Loss_G: -0.015219 Loss_D_real: -0.005248 Loss_D_fake 0.014692
[1457/5000][10/535][150324] Loss_D: -0.018263 Loss_G: 0.011982 Loss_D_real: -0.029204 Loss_D_fake -0.010941
[1457/5000][15/535][150325] Loss_D: -0.021328 Loss_G: 0.019031 Loss_D_real: -0.019004 Loss_D_fake 0.002324
[1457/5000][20/535][150326] Loss_D: -0.019796 Loss_G: 0.002237 Loss_D_real: -0.015437 Loss_D_fake 0.004359
[1457/5000][25/535][150327] Loss_D: -0.019322 Loss_G: -0.011742 Loss_D_real: 0.016473 Loss_D_fake 0.035795
[1457/5000][30/535][150328] Loss_D: -0.020546 Loss_G: 0.004639 Loss_D_real: -0.008336 Loss_D_fake 0.012211
[1457/5000][35/535][150329] Loss_D: -0.020189 Loss_G: 0.027097 Loss_D_real: -0.018135 Loss_D_fake 0.002055
[1457/5000][40/535][150330] Loss_D: -0.019250 Loss_G: -0.002446 Loss_D_real: -0.011710 Loss_D_fake 0.007540
[1457/5000][45/535][150331] Loss_D: -0.019059 Loss_G: 0.017619 Loss_D_real: -0.033545 Loss_D_fake -0.014486
[1457/5000][50/535][150332] Loss_D: -0.020114 Loss_G: 0.016729 Loss_D_real: -0.020376 Loss_D_fake -0.000262
[1457/5000][55/535][150333] Loss_D: -0.019267 Loss_G: 0.005125 Loss_D_real: -0.014204 Loss_D_fake 0.005063
[1457/5000][60/535][150334] Loss_D: -0.020382 Loss_G: -0.007224 Loss_D_real: -0.001093 Loss_D_fake 0.019289
[1457/5000][65/535][150335] Loss_D: -0.020768 Loss_G: 0.008215 Loss_D_real: -0.014064 Loss_D_fake 0.006704
[1457/5000][70/535][150336] Loss_D: -0.020671 Loss_G: 0.017004 Loss_D_real: -0.012470 Loss_D_fake 0.008202
[1457/5000][75/535][150337] Loss_D: -0.020943 Loss_G: 0.010297 Loss_D_real: -0.014150 Loss_D_fake 0.006793
[1457/5000][80/535][150338] Loss_D: -0.018003 Loss_G: -0.025820 Loss_D_real: 0.007000 Loss_D_fake 0.025003
[1457/5000][85/535][150339] Loss_D: -0.020389 Loss_G: 0.011286 Loss_D_real: -0.013057 Loss_D_fake 0.007332
[1457/5000][90/535][150340] Loss_D: -0.020713 Loss_G: -0.004420 Loss_D_real: -0.008163 Loss_D_fake 0.012550
[1457/5000][95/535][150341] Loss_D: -0.020050 Loss_G: 0.014739 Loss_D_real: -0.014871 Loss_D_fake 0.005179
[1457/5000][100/535][150342] Loss_D: -0.020615 Loss_G: -0.005718 Loss_D_real: -0.016570 Loss_D_fake 0.004045
[1457/5000][105/535][150343] Loss_D: -0.019843 Loss_G: 0.030485 Loss_D_real: -0.022369 Loss_D_fake -0.002526
[1457/5000][110/535][150344] Loss_D: -0.020659 Loss_G: 0.012502 Loss_D_real: -0.008388 Loss_D_fake 0.012271
[1457/5000][115/535][150345] Loss_D: -0.021385 Loss_G: 0.002190 Loss_D_real: -0.009591 Loss_D_fake 0.011795
[1457/5000][120/535][150346] Loss_D: -0.021996 Loss_G: 0.008303 Loss_D_real: -0.028232 Loss_D_fake -0.006237
[1457/5000][125/535][150347] Loss_D: -0.021490 Loss_G: 0.018596 Loss_D_real: -0.015448 Loss_D_fake 0.006042
[1457/5000][130/535][150348] Loss_D: -0.019938 Loss_G: 0.005599 Loss_D_real: -0.018197 Loss_D_fake 0.001741
[1457/5000][135/535][150349] Loss_D: -0.019705 Loss_G: 0.006964 Loss_D_real: -0.025948 Loss_D_fake -0.006243
[1457/5000][140/535][150350] Loss_D: -0.018866 Loss_G: 0.017842 Loss_D_real: -0.028539 Loss_D_fake -0.009673
[1457/5000][145/535][150351] Loss_D: -0.020235 Loss_G: 0.015985 Loss_D_real: -0.023053 Loss_D_fake -0.002818
[1457/5000][150/535][150352] Loss_D: -0.019232 Loss_G: 0.009355 Loss_D_real: -0.024659 Loss_D_fake -0.005427
[1457/5000][155/535][150353] Loss_D: -0.020239 Loss_G: -0.001389 Loss_D_real: -0.012683 Loss_D_fake 0.007556
[1457/5000][160/535][150354] Loss_D: -0.019801 Loss_G: 0.009526 Loss_D_real: -0.013107 Loss_D_fake 0.006694
[1457/5000][165/535][150355] Loss_D: -0.020101 Loss_G: 0.005075 Loss_D_real: -0.005461 Loss_D_fake 0.014640
[1457/5000][170/535][150356] Loss_D: -0.020390 Loss_G: 0.012996 Loss_D_real: -0.016963 Loss_D_fake 0.003427
[1457/5000][175/535][150357] Loss_D: -0.019915 Loss_G: 0.004269 Loss_D_real: -0.023007 Loss_D_fake -0.003092
[1457/5000][180/535][150358] Loss_D: -0.020176 Loss_G: 0.002857 Loss_D_real: -0.020439 Loss_D_fake -0.000263
[1457/5000][185/535][150359] Loss_D: -0.019983 Loss_G: -0.000853 Loss_D_real: -0.008493 Loss_D_fake 0.011490
[1457/5000][190/535][150360] Loss_D: -0.019567 Loss_G: -0.013175 Loss_D_real: -0.008263 Loss_D_fake 0.011304
[1457/5000][195/535][150361] Loss_D: -0.018821 Loss_G: 0.016086 Loss_D_real: -0.025479 Loss_D_fake -0.006658
[1457/5000][200/535][150362] Loss_D: -0.021125 Loss_G: 0.012053 Loss_D_real: -0.022163 Loss_D_fake -0.001038
[1457/5000][205/535][150363] Loss_D: -0.018355 Loss_G: -0.017622 Loss_D_real: 0.002238 Loss_D_fake 0.020594
[1457/5000][210/535][150364] Loss_D: -0.020002 Loss_G: 0.004260 Loss_D_real: 0.001662 Loss_D_fake 0.021664
[1457/5000][215/535][150365] Loss_D: -0.020166 Loss_G: -0.003312 Loss_D_real: -0.018419 Loss_D_fake 0.001746
[1457/5000][220/535][150366] Loss_D: -0.020484 Loss_G: 0.005824 Loss_D_real: -0.012548 Loss_D_fake 0.007936
[1457/5000][225/535][150367] Loss_D: -0.018877 Loss_G: 0.009769 Loss_D_real: -0.015333 Loss_D_fake 0.003544
[1457/5000][230/535][150368] Loss_D: -0.018969 Loss_G: 0.025364 Loss_D_real: -0.028320 Loss_D_fake -0.009351
[1457/5000][235/535][150369] Loss_D: -0.020090 Loss_G: -0.005611 Loss_D_real: -0.009556 Loss_D_fake 0.010534
[1457/5000][240/535][150370] Loss_D: -0.019404 Loss_G: 0.010515 Loss_D_real: -0.023180 Loss_D_fake -0.003776
[1457/5000][245/535][150371] Loss_D: -0.019138 Loss_G: 0.017825 Loss_D_real: -0.022425 Loss_D_fake -0.003288
[1457/5000][250/535][150372] Loss_D: -0.020211 Loss_G: 0.001011 Loss_D_real: -0.011100 Loss_D_fake 0.009111
[1457/5000][255/535][150373] Loss_D: -0.019617 Loss_G: 0.011195 Loss_D_real: -0.023962 Loss_D_fake -0.004346
[1457/5000][260/535][150374] Loss_D: -0.018468 Loss_G: 0.009584 Loss_D_real: -0.017485 Loss_D_fake 0.000983
[1457/5000][265/535][150375] Loss_D: -0.021190 Loss_G: 0.016988 Loss_D_real: -0.018894 Loss_D_fake 0.002296
[1457/5000][270/535][150376] Loss_D: -0.018974 Loss_G: 0.026752 Loss_D_real: -0.023431 Loss_D_fake -0.004457
[1457/5000][275/535][150377] Loss_D: -0.020897 Loss_G: -0.007387 Loss_D_real: -0.012231 Loss_D_fake 0.008666
[1457/5000][280/535][150378] Loss_D: -0.019366 Loss_G: 0.014663 Loss_D_real: -0.029640 Loss_D_fake -0.010274
[1457/5000][285/535][150379] Loss_D: -0.020199 Loss_G: -0.007319 Loss_D_real: -0.009820 Loss_D_fake 0.010379
[1457/5000][290/535][150380] Loss_D: -0.019966 Loss_G: 0.014053 Loss_D_real: -0.019669 Loss_D_fake 0.000297
[1457/5000][295/535][150381] Loss_D: -0.021699 Loss_G: -0.002800 Loss_D_real: -0.013956 Loss_D_fake 0.007743
[1457/5000][300/535][150382] Loss_D: -0.020666 Loss_G: 0.017123 Loss_D_real: -0.017664 Loss_D_fake 0.003002
[1457/5000][305/535][150383] Loss_D: -0.020177 Loss_G: 0.000877 Loss_D_real: -0.022362 Loss_D_fake -0.002185
[1457/5000][310/535][150384] Loss_D: -0.019736 Loss_G: 0.004522 Loss_D_real: -0.016537 Loss_D_fake 0.003199
[1457/5000][315/535][150385] Loss_D: -0.019279 Loss_G: -0.001469 Loss_D_real: -0.007455 Loss_D_fake 0.011824
[1457/5000][320/535][150386] Loss_D: -0.020763 Loss_G: -0.002485 Loss_D_real: -0.016400 Loss_D_fake 0.004363
[1457/5000][325/535][150387] Loss_D: -0.019540 Loss_G: -0.001059 Loss_D_real: -0.017610 Loss_D_fake 0.001930
[1457/5000][330/535][150388] Loss_D: -0.020405 Loss_G: 0.008530 Loss_D_real: -0.023601 Loss_D_fake -0.003196
[1457/5000][335/535][150389] Loss_D: -0.019870 Loss_G: 0.006239 Loss_D_real: -0.014062 Loss_D_fake 0.005808
[1457/5000][340/535][150390] Loss_D: -0.019664 Loss_G: 0.013555 Loss_D_real: -0.002451 Loss_D_fake 0.017213
[1457/5000][345/535][150391] Loss_D: -0.019671 Loss_G: 0.012752 Loss_D_real: -0.012884 Loss_D_fake 0.006787
[1457/5000][350/535][150392] Loss_D: -0.019631 Loss_G: 0.020671 Loss_D_real: -0.027215 Loss_D_fake -0.007584
[1457/5000][355/535][150393] Loss_D: -0.019429 Loss_G: -0.008196 Loss_D_real: -0.002703 Loss_D_fake 0.016725
[1457/5000][360/535][150394] Loss_D: -0.021572 Loss_G: 0.007291 Loss_D_real: -0.006676 Loss_D_fake 0.014896
[1457/5000][365/535][150395] Loss_D: -0.020314 Loss_G: 0.017661 Loss_D_real: -0.011828 Loss_D_fake 0.008487
[1457/5000][370/535][150396] Loss_D: -0.020185 Loss_G: 0.019256 Loss_D_real: -0.020235 Loss_D_fake -0.000050
[1457/5000][375/535][150397] Loss_D: -0.020109 Loss_G: 0.017321 Loss_D_real: -0.016414 Loss_D_fake 0.003695
[1457/5000][380/535][150398] Loss_D: -0.021196 Loss_G: -0.015403 Loss_D_real: 0.002070 Loss_D_fake 0.023266
[1457/5000][385/535][150399] Loss_D: -0.019610 Loss_G: -0.000005 Loss_D_real: -0.017991 Loss_D_fake 0.001619
[1457/5000][390/535][150400] Loss_D: -0.018728 Loss_G: 0.022536 Loss_D_real: -0.036348 Loss_D_fake -0.017620
[1457/5000][395/535][150401] Loss_D: -0.020017 Loss_G: 0.004321 Loss_D_real: -0.007865 Loss_D_fake 0.012152
[1457/5000][400/535][150402] Loss_D: -0.018534 Loss_G: 0.013615 Loss_D_real: -0.021368 Loss_D_fake -0.002835
[1457/5000][405/535][150403] Loss_D: -0.019728 Loss_G: -0.000310 Loss_D_real: -0.008484 Loss_D_fake 0.011244
[1457/5000][410/535][150404] Loss_D: -0.019794 Loss_G: 0.011310 Loss_D_real: -0.025274 Loss_D_fake -0.005480
[1457/5000][415/535][150405] Loss_D: -0.019868 Loss_G: 0.010886 Loss_D_real: -0.022470 Loss_D_fake -0.002602
[1457/5000][420/535][150406] Loss_D: -0.020160 Loss_G: 0.016305 Loss_D_real: -0.009075 Loss_D_fake 0.011084
[1457/5000][425/535][150407] Loss_D: -0.020956 Loss_G: 0.002019 Loss_D_real: -0.006802 Loss_D_fake 0.014154
[1457/5000][430/535][150408] Loss_D: -0.020378 Loss_G: 0.024022 Loss_D_real: -0.029674 Loss_D_fake -0.009296
[1457/5000][435/535][150409] Loss_D: -0.019067 Loss_G: 0.003551 Loss_D_real: -0.006748 Loss_D_fake 0.012319
[1457/5000][440/535][150410] Loss_D: -0.020050 Loss_G: -0.008893 Loss_D_real: -0.012617 Loss_D_fake 0.007433
[1457/5000][445/535][150411] Loss_D: -0.020013 Loss_G: 0.018068 Loss_D_real: -0.028222 Loss_D_fake -0.008210
[1457/5000][450/535][150412] Loss_D: -0.020650 Loss_G: 0.012698 Loss_D_real: -0.019925 Loss_D_fake 0.000725
[1457/5000][455/535][150413] Loss_D: -0.018628 Loss_G: -0.004034 Loss_D_real: -0.012639 Loss_D_fake 0.005989
[1457/5000][460/535][150414] Loss_D: -0.019653 Loss_G: 0.004954 Loss_D_real: -0.014922 Loss_D_fake 0.004731
[1457/5000][465/535][150415] Loss_D: -0.019874 Loss_G: -0.008821 Loss_D_real: -0.000247 Loss_D_fake 0.019627
[1457/5000][470/535][150416] Loss_D: -0.019842 Loss_G: 0.010641 Loss_D_real: -0.011843 Loss_D_fake 0.007999
[1457/5000][475/535][150417] Loss_D: -0.019205 Loss_G: 0.009991 Loss_D_real: -0.019520 Loss_D_fake -0.000315
[1457/5000][480/535][150418] Loss_D: -0.018702 Loss_G: 0.016682 Loss_D_real: -0.025082 Loss_D_fake -0.006381
[1457/5000][485/535][150419] Loss_D: -0.018540 Loss_G: 0.004145 Loss_D_real: -0.011707 Loss_D_fake 0.006832
[1457/5000][490/535][150420] Loss_D: -0.019791 Loss_G: -0.006389 Loss_D_real: -0.002452 Loss_D_fake 0.017339
[1457/5000][495/535][150421] Loss_D: -0.018843 Loss_G: 0.011923 Loss_D_real: -0.024204 Loss_D_fake -0.005361
[1457/5000][500/535][150422] Loss_D: -0.019845 Loss_G: 0.013620 Loss_D_real: -0.033633 Loss_D_fake -0.013788
[1457/5000][505/535][150423] Loss_D: -0.019337 Loss_G: 0.004652 Loss_D_real: -0.023106 Loss_D_fake -0.003769
[1457/5000][510/535][150424] Loss_D: -0.020208 Loss_G: -0.012059 Loss_D_real: -0.012199 Loss_D_fake 0.008009
[1457/5000][515/535][150425] Loss_D: -0.019513 Loss_G: 0.005618 Loss_D_real: -0.016942 Loss_D_fake 0.002572
[1457/5000][520/535][150426] Loss_D: -0.018864 Loss_G: 0.019210 Loss_D_real: -0.024543 Loss_D_fake -0.005679
[1457/5000][525/535][150427] Loss_D: -0.019239 Loss_G: 0.001200 Loss_D_real: -0.018193 Loss_D_fake 0.001046
[1457/5000][530/535][150428] Loss_D: -0.019822 Loss_G: 0.025296 Loss_D_real: -0.022569 Loss_D_fake -0.002747
[1457/5000][535/535][150429] Loss_D: -0.021596 Loss_G: 0.045848 Loss_D_real: -0.012269 Loss_D_fake 0.009327
[1458/5000][5/535][150430] Loss_D: -0.020940 Loss_G: 0.005324 Loss_D_real: -0.015264 Loss_D_fake 0.005676
[1458/5000][10/535][150431] Loss_D: -0.020305 Loss_G: 0.008761 Loss_D_real: -0.009692 Loss_D_fake 0.010613
[1458/5000][15/535][150432] Loss_D: -0.019123 Loss_G: 0.030380 Loss_D_real: -0.030956 Loss_D_fake -0.011832
[1458/5000][20/535][150433] Loss_D: -0.018076 Loss_G: 0.021064 Loss_D_real: -0.018811 Loss_D_fake -0.000735
[1458/5000][25/535][150434] Loss_D: -0.018313 Loss_G: -0.007948 Loss_D_real: -0.001550 Loss_D_fake 0.016763
[1458/5000][30/535][150435] Loss_D: -0.018374 Loss_G: -0.000482 Loss_D_real: -0.014136 Loss_D_fake 0.004238
[1458/5000][35/535][150436] Loss_D: -0.018454 Loss_G: 0.001583 Loss_D_real: -0.001138 Loss_D_fake 0.017316
[1458/5000][40/535][150437] Loss_D: -0.020152 Loss_G: -0.006282 Loss_D_real: -0.017016 Loss_D_fake 0.003136
[1458/5000][45/535][150438] Loss_D: -0.019194 Loss_G: 0.012798 Loss_D_real: -0.008972 Loss_D_fake 0.010221
[1458/5000][50/535][150439] Loss_D: -0.020533 Loss_G: -0.009496 Loss_D_real: -0.006275 Loss_D_fake 0.014258
[1458/5000][55/535][150440] Loss_D: -0.020111 Loss_G: 0.008930 Loss_D_real: -0.005731 Loss_D_fake 0.014380
[1458/5000][60/535][150441] Loss_D: -0.020325 Loss_G: -0.010521 Loss_D_real: -0.003787 Loss_D_fake 0.016538
[1458/5000][65/535][150442] Loss_D: -0.020750 Loss_G: 0.010869 Loss_D_real: -0.009381 Loss_D_fake 0.011368
[1458/5000][70/535][150443] Loss_D: -0.020555 Loss_G: 0.005619 Loss_D_real: -0.007884 Loss_D_fake 0.012671
[1458/5000][75/535][150444] Loss_D: -0.018517 Loss_G: 0.020770 Loss_D_real: -0.017261 Loss_D_fake 0.001257
[1458/5000][80/535][150445] Loss_D: -0.019855 Loss_G: 0.015287 Loss_D_real: -0.007123 Loss_D_fake 0.012732
[1458/5000][85/535][150446] Loss_D: -0.020906 Loss_G: 0.014187 Loss_D_real: -0.021820 Loss_D_fake -0.000914
[1458/5000][90/535][150447] Loss_D: -0.020335 Loss_G: -0.002391 Loss_D_real: -0.006141 Loss_D_fake 0.014193
[1458/5000][95/535][150448] Loss_D: -0.021245 Loss_G: 0.003408 Loss_D_real: -0.003724 Loss_D_fake 0.017521
[1458/5000][100/535][150449] Loss_D: -0.020079 Loss_G: 0.019700 Loss_D_real: -0.018197 Loss_D_fake 0.001882
[1458/5000][105/535][150450] Loss_D: -0.019157 Loss_G: -0.006818 Loss_D_real: -0.003213 Loss_D_fake 0.015944
[1458/5000][110/535][150451] Loss_D: -0.020987 Loss_G: 0.017430 Loss_D_real: -0.027062 Loss_D_fake -0.006075
[1458/5000][115/535][150452] Loss_D: -0.020797 Loss_G: -0.006202 Loss_D_real: -0.011116 Loss_D_fake 0.009681
[1458/5000][120/535][150453] Loss_D: -0.020381 Loss_G: 0.018851 Loss_D_real: -0.015960 Loss_D_fake 0.004421
[1458/5000][125/535][150454] Loss_D: -0.019633 Loss_G: -0.006689 Loss_D_real: -0.021237 Loss_D_fake -0.001604
[1458/5000][130/535][150455] Loss_D: -0.019876 Loss_G: 0.015323 Loss_D_real: -0.021658 Loss_D_fake -0.001782
[1458/5000][135/535][150456] Loss_D: -0.019675 Loss_G: 0.014763 Loss_D_real: -0.017298 Loss_D_fake 0.002377
[1458/5000][140/535][150457] Loss_D: -0.018553 Loss_G: 0.013612 Loss_D_real: -0.025005 Loss_D_fake -0.006452
[1458/5000][145/535][150458] Loss_D: -0.021044 Loss_G: -0.003892 Loss_D_real: -0.007870 Loss_D_fake 0.013174
[1458/5000][150/535][150459] Loss_D: -0.019360 Loss_G: 0.033643 Loss_D_real: -0.024717 Loss_D_fake -0.005357
[1458/5000][155/535][150460] Loss_D: -0.021100 Loss_G: 0.006742 Loss_D_real: -0.017737 Loss_D_fake 0.003363
[1458/5000][160/535][150461] Loss_D: -0.020140 Loss_G: -0.003516 Loss_D_real: -0.016124 Loss_D_fake 0.004016
[1458/5000][165/535][150462] Loss_D: -0.018827 Loss_G: -0.003462 Loss_D_real: -0.012357 Loss_D_fake 0.006471
[1458/5000][170/535][150463] Loss_D: -0.018968 Loss_G: -0.000356 Loss_D_real: -0.017538 Loss_D_fake 0.001430
[1458/5000][175/535][150464] Loss_D: -0.017498 Loss_G: 0.026785 Loss_D_real: -0.020596 Loss_D_fake -0.003098
[1458/5000][180/535][150465] Loss_D: -0.017896 Loss_G: 0.025423 Loss_D_real: -0.036212 Loss_D_fake -0.018317
[1458/5000][185/535][150466] Loss_D: -0.020719 Loss_G: -0.004392 Loss_D_real: -0.005073 Loss_D_fake 0.015646
[1458/5000][190/535][150467] Loss_D: -0.020577 Loss_G: 0.004375 Loss_D_real: -0.011068 Loss_D_fake 0.009509
[1458/5000][195/535][150468] Loss_D: -0.021352 Loss_G: 0.012321 Loss_D_real: -0.018938 Loss_D_fake 0.002414
[1458/5000][200/535][150469] Loss_D: -0.020126 Loss_G: 0.008535 Loss_D_real: -0.026258 Loss_D_fake -0.006132
[1458/5000][205/535][150470] Loss_D: -0.020471 Loss_G: 0.001689 Loss_D_real: 0.002960 Loss_D_fake 0.023431
[1458/5000][210/535][150471] Loss_D: -0.019778 Loss_G: 0.006835 Loss_D_real: -0.015026 Loss_D_fake 0.004753
[1458/5000][215/535][150472] Loss_D: -0.020306 Loss_G: 0.004508 Loss_D_real: -0.022415 Loss_D_fake -0.002109
[1458/5000][220/535][150473] Loss_D: -0.021171 Loss_G: 0.014932 Loss_D_real: -0.016596 Loss_D_fake 0.004575
[1458/5000][225/535][150474] Loss_D: -0.021506 Loss_G: 0.015067 Loss_D_real: -0.017736 Loss_D_fake 0.003770
[1458/5000][230/535][150475] Loss_D: -0.020304 Loss_G: -0.001619 Loss_D_real: -0.016491 Loss_D_fake 0.003813
[1458/5000][235/535][150476] Loss_D: -0.020546 Loss_G: 0.029170 Loss_D_real: -0.027116 Loss_D_fake -0.006570
[1458/5000][240/535][150477] Loss_D: -0.019013 Loss_G: -0.010326 Loss_D_real: 0.012531 Loss_D_fake 0.031544
[1458/5000][245/535][150478] Loss_D: -0.019505 Loss_G: 0.007797 Loss_D_real: -0.015976 Loss_D_fake 0.003529
[1458/5000][250/535][150479] Loss_D: -0.019203 Loss_G: 0.017316 Loss_D_real: -0.020997 Loss_D_fake -0.001795
[1458/5000][255/535][150480] Loss_D: -0.019485 Loss_G: 0.019454 Loss_D_real: -0.017614 Loss_D_fake 0.001871
[1458/5000][260/535][150481] Loss_D: -0.020772 Loss_G: 0.008223 Loss_D_real: -0.019313 Loss_D_fake 0.001459
[1458/5000][265/535][150482] Loss_D: -0.020239 Loss_G: 0.024012 Loss_D_real: -0.023100 Loss_D_fake -0.002862
[1458/5000][270/535][150483] Loss_D: -0.019368 Loss_G: 0.009971 Loss_D_real: -0.021310 Loss_D_fake -0.001942
[1458/5000][275/535][150484] Loss_D: -0.020650 Loss_G: 0.014814 Loss_D_real: -0.032068 Loss_D_fake -0.011418
[1458/5000][280/535][150485] Loss_D: -0.020998 Loss_G: 0.000309 Loss_D_real: -0.024815 Loss_D_fake -0.003817
[1458/5000][285/535][150486] Loss_D: -0.020617 Loss_G: 0.001225 Loss_D_real: -0.008995 Loss_D_fake 0.011623
[1458/5000][290/535][150487] Loss_D: -0.020587 Loss_G: 0.008710 Loss_D_real: -0.015871 Loss_D_fake 0.004716
[1458/5000][295/535][150488] Loss_D: -0.021119 Loss_G: 0.008020 Loss_D_real: -0.003392 Loss_D_fake 0.017726
[1458/5000][300/535][150489] Loss_D: -0.019874 Loss_G: 0.024381 Loss_D_real: -0.025818 Loss_D_fake -0.005944
[1458/5000][305/535][150490] Loss_D: -0.020773 Loss_G: 0.020599 Loss_D_real: -0.019639 Loss_D_fake 0.001134
[1458/5000][310/535][150491] Loss_D: -0.021696 Loss_G: -0.010509 Loss_D_real: -0.017304 Loss_D_fake 0.004392
[1458/5000][315/535][150492] Loss_D: -0.020780 Loss_G: 0.014693 Loss_D_real: -0.006974 Loss_D_fake 0.013806
[1458/5000][320/535][150493] Loss_D: -0.020586 Loss_G: -0.002292 Loss_D_real: -0.011343 Loss_D_fake 0.009243
[1458/5000][325/535][150494] Loss_D: -0.019995 Loss_G: 0.014605 Loss_D_real: -0.017180 Loss_D_fake 0.002816
[1458/5000][330/535][150495] Loss_D: -0.019979 Loss_G: -0.007566 Loss_D_real: -0.016825 Loss_D_fake 0.003154
[1458/5000][335/535][150496] Loss_D: -0.019641 Loss_G: -0.003110 Loss_D_real: -0.003450 Loss_D_fake 0.016191
[1458/5000][340/535][150497] Loss_D: -0.019758 Loss_G: 0.023308 Loss_D_real: -0.018568 Loss_D_fake 0.001190
[1458/5000][345/535][150498] Loss_D: -0.019213 Loss_G: 0.005486 Loss_D_real: -0.019151 Loss_D_fake 0.000062
[1458/5000][350/535][150499] Loss_D: -0.020393 Loss_G: -0.005162 Loss_D_real: -0.015778 Loss_D_fake 0.004614
[1458/5000][355/535][150500] Loss_D: -0.019280 Loss_G: -0.008020 Loss_D_real: -0.003584 Loss_D_fake 0.015696
[1458/5000][455/535][150501] Loss_D: -0.022723 Loss_G: 0.002042 Loss_D_real: -0.016994 Loss_D_fake 0.005729
[1458/5000][460/535][150502] Loss_D: -0.017859 Loss_G: -0.008162 Loss_D_real: 0.008521 Loss_D_fake 0.026380
[1458/5000][465/535][150503] Loss_D: -0.019022 Loss_G: 0.009208 Loss_D_real: -0.014230 Loss_D_fake 0.004792
[1458/5000][470/535][150504] Loss_D: -0.020744 Loss_G: 0.024219 Loss_D_real: -0.007587 Loss_D_fake 0.013157
[1458/5000][475/535][150505] Loss_D: -0.019679 Loss_G: 0.003330 Loss_D_real: -0.017600 Loss_D_fake 0.002079
[1458/5000][480/535][150506] Loss_D: -0.020195 Loss_G: 0.013500 Loss_D_real: -0.007228 Loss_D_fake 0.012967
[1458/5000][485/535][150507] Loss_D: -0.018798 Loss_G: 0.012712 Loss_D_real: -0.007106 Loss_D_fake 0.011692
[1458/5000][490/535][150508] Loss_D: -0.021337 Loss_G: 0.010941 Loss_D_real: -0.022440 Loss_D_fake -0.001103
[1458/5000][495/535][150509] Loss_D: -0.018643 Loss_G: 0.028948 Loss_D_real: -0.017947 Loss_D_fake 0.000695
[1458/5000][500/535][150510] Loss_D: -0.020069 Loss_G: -0.001779 Loss_D_real: -0.006821 Loss_D_fake 0.013249
[1458/5000][505/535][150511] Loss_D: -0.020012 Loss_G: -0.005852 Loss_D_real: -0.021621 Loss_D_fake -0.001609
[1458/5000][510/535][150512] Loss_D: -0.019787 Loss_G: -0.005621 Loss_D_real: -0.002552 Loss_D_fake 0.017236
[1458/5000][515/535][150513] Loss_D: -0.021922 Loss_G: 0.012876 Loss_D_real: -0.017052 Loss_D_fake 0.004870
[1458/5000][520/535][150514] Loss_D: -0.019897 Loss_G: 0.022616 Loss_D_real: -0.023809 Loss_D_fake -0.003913
[1458/5000][525/535][150515] Loss_D: -0.017392 Loss_G: -0.009051 Loss_D_real: 0.007269 Loss_D_fake 0.024661
[1458/5000][530/535][150516] Loss_D: -0.019357 Loss_G: 0.008722 Loss_D_real: -0.004114 Loss_D_fake 0.015243
[1458/5000][535/535][150517] Loss_D: -0.022861 Loss_G: 0.038474 Loss_D_real: -0.014286 Loss_D_fake 0.008575
[1459/5000][5/535][150518] Loss_D: -0.019253 Loss_G: -0.011415 Loss_D_real: -0.012303 Loss_D_fake 0.006950
[1459/5000][10/535][150519] Loss_D: -0.020499 Loss_G: 0.020809 Loss_D_real: -0.017907 Loss_D_fake 0.002591
[1459/5000][15/535][150520] Loss_D: -0.018871 Loss_G: 0.006327 Loss_D_real: -0.015253 Loss_D_fake 0.003618
[1459/5000][20/535][150521] Loss_D: -0.018960 Loss_G: 0.007804 Loss_D_real: -0.010911 Loss_D_fake 0.008049
[1459/5000][25/535][150522] Loss_D: -0.020176 Loss_G: -0.006285 Loss_D_real: -0.016759 Loss_D_fake 0.003418
[1459/5000][30/535][150523] Loss_D: -0.019055 Loss_G: 0.008385 Loss_D_real: -0.010778 Loss_D_fake 0.008278
[1459/5000][35/535][150524] Loss_D: -0.019454 Loss_G: 0.000539 Loss_D_real: -0.002993 Loss_D_fake 0.016462
[1459/5000][40/535][150525] Loss_D: -0.020465 Loss_G: 0.026069 Loss_D_real: -0.017278 Loss_D_fake 0.003187
[1459/5000][45/535][150526] Loss_D: -0.020052 Loss_G: 0.014724 Loss_D_real: -0.014976 Loss_D_fake 0.005076
[1459/5000][50/535][150527] Loss_D: -0.018919 Loss_G: 0.027160 Loss_D_real: -0.012733 Loss_D_fake 0.006186
[1459/5000][55/535][150528] Loss_D: -0.021133 Loss_G: -0.010028 Loss_D_real: -0.003158 Loss_D_fake 0.017975
[1459/5000][60/535][150529] Loss_D: -0.019803 Loss_G: 0.032303 Loss_D_real: -0.023705 Loss_D_fake -0.003902
[1459/5000][65/535][150530] Loss_D: -0.021157 Loss_G: -0.004206 Loss_D_real: -0.012680 Loss_D_fake 0.008477
[1459/5000][70/535][150531] Loss_D: -0.020671 Loss_G: 0.011639 Loss_D_real: -0.016315 Loss_D_fake 0.004356
[1459/5000][75/535][150532] Loss_D: -0.020734 Loss_G: 0.006303 Loss_D_real: -0.011028 Loss_D_fake 0.009706
[1459/5000][80/535][150533] Loss_D: -0.019527 Loss_G: 0.013960 Loss_D_real: -0.030133 Loss_D_fake -0.010606
[1459/5000][85/535][150534] Loss_D: -0.020875 Loss_G: 0.003680 Loss_D_real: -0.020010 Loss_D_fake 0.000866
[1459/5000][90/535][150535] Loss_D: -0.019919 Loss_G: 0.019661 Loss_D_real: -0.027588 Loss_D_fake -0.007669
[1459/5000][95/535][150536] Loss_D: -0.019843 Loss_G: 0.020189 Loss_D_real: -0.023015 Loss_D_fake -0.003171
[1459/5000][100/535][150537] Loss_D: -0.021195 Loss_G: 0.004257 Loss_D_real: -0.003041 Loss_D_fake 0.018154
[1459/5000][105/535][150538] Loss_D: -0.019424 Loss_G: 0.011411 Loss_D_real: -0.012962 Loss_D_fake 0.006461
[1459/5000][110/535][150539] Loss_D: -0.019731 Loss_G: 0.018128 Loss_D_real: -0.018841 Loss_D_fake 0.000890
[1459/5000][115/535][150540] Loss_D: -0.020682 Loss_G: 0.015123 Loss_D_real: -0.020399 Loss_D_fake 0.000283
[1459/5000][120/535][150541] Loss_D: -0.020729 Loss_G: -0.006095 Loss_D_real: -0.003652 Loss_D_fake 0.017077
[1459/5000][125/535][150542] Loss_D: -0.018963 Loss_G: 0.008719 Loss_D_real: -0.022396 Loss_D_fake -0.003433
[1459/5000][130/535][150543] Loss_D: -0.021722 Loss_G: 0.004462 Loss_D_real: -0.010388 Loss_D_fake 0.011334
[1459/5000][135/535][150544] Loss_D: -0.020036 Loss_G: 0.006116 Loss_D_real: -0.011768 Loss_D_fake 0.008268
[1459/5000][140/535][150545] Loss_D: -0.020416 Loss_G: 0.000445 Loss_D_real: -0.003535 Loss_D_fake 0.016881
[1459/5000][145/535][150546] Loss_D: -0.019698 Loss_G: 0.020501 Loss_D_real: -0.024074 Loss_D_fake -0.004376
[1459/5000][150/535][150547] Loss_D: -0.020057 Loss_G: 0.006726 Loss_D_real: -0.015007 Loss_D_fake 0.005049
[1459/5000][155/535][150548] Loss_D: -0.021163 Loss_G: 0.010554 Loss_D_real: -0.014590 Loss_D_fake 0.006573
[1459/5000][160/535][150549] Loss_D: -0.019739 Loss_G: 0.007173 Loss_D_real: -0.013640 Loss_D_fake 0.006100
[1459/5000][165/535][150550] Loss_D: -0.019731 Loss_G: -0.000500 Loss_D_real: -0.005590 Loss_D_fake 0.014140
[1459/5000][170/535][150551] Loss_D: -0.020345 Loss_G: -0.001960 Loss_D_real: -0.016948 Loss_D_fake 0.003397
[1459/5000][175/535][150552] Loss_D: -0.020407 Loss_G: 0.019217 Loss_D_real: -0.022269 Loss_D_fake -0.001862
[1459/5000][180/535][150553] Loss_D: -0.017883 Loss_G: 0.006791 Loss_D_real: -0.014152 Loss_D_fake 0.003731
[1459/5000][185/535][150554] Loss_D: -0.019574 Loss_G: 0.000264 Loss_D_real: -0.009759 Loss_D_fake 0.009815
[1459/5000][190/535][150555] Loss_D: -0.020352 Loss_G: 0.009074 Loss_D_real: -0.018352 Loss_D_fake 0.002000
[1459/5000][195/535][150556] Loss_D: -0.018359 Loss_G: 0.021695 Loss_D_real: -0.022109 Loss_D_fake -0.003750
[1459/5000][200/535][150557] Loss_D: -0.019524 Loss_G: 0.017069 Loss_D_real: -0.023201 Loss_D_fake -0.003678
[1459/5000][205/535][150558] Loss_D: -0.020149 Loss_G: 0.007900 Loss_D_real: -0.028136 Loss_D_fake -0.007987
[1459/5000][210/535][150559] Loss_D: -0.021329 Loss_G: 0.011413 Loss_D_real: -0.017688 Loss_D_fake 0.003641
[1459/5000][215/535][150560] Loss_D: -0.021002 Loss_G: 0.002774 Loss_D_real: -0.023772 Loss_D_fake -0.002769
[1459/5000][220/535][150561] Loss_D: -0.021197 Loss_G: 0.014644 Loss_D_real: -0.025970 Loss_D_fake -0.004772
[1459/5000][225/535][150562] Loss_D: -0.017884 Loss_G: -0.018605 Loss_D_real: 0.002812 Loss_D_fake 0.020696
[1459/5000][230/535][150563] Loss_D: -0.020060 Loss_G: 0.013648 Loss_D_real: -0.026988 Loss_D_fake -0.006928
[1459/5000][235/535][150564] Loss_D: -0.019671 Loss_G: -0.014128 Loss_D_real: 0.003932 Loss_D_fake 0.023603
[1459/5000][240/535][150565] Loss_D: -0.018403 Loss_G: -0.013088 Loss_D_real: -0.002181 Loss_D_fake 0.016221
[1459/5000][245/535][150566] Loss_D: -0.019092 Loss_G: 0.007139 Loss_D_real: -0.008498 Loss_D_fake 0.010593
[1459/5000][250/535][150567] Loss_D: -0.019397 Loss_G: 0.001263 Loss_D_real: -0.002925 Loss_D_fake 0.016472
[1459/5000][255/535][150568] Loss_D: -0.020375 Loss_G: 0.002757 Loss_D_real: -0.010635 Loss_D_fake 0.009740
[1459/5000][260/535][150569] Loss_D: -0.018795 Loss_G: 0.018271 Loss_D_real: -0.022682 Loss_D_fake -0.003887
[1459/5000][265/535][150570] Loss_D: -0.020307 Loss_G: 0.017761 Loss_D_real: -0.020836 Loss_D_fake -0.000529
[1459/5000][270/535][150571] Loss_D: -0.020574 Loss_G: 0.007497 Loss_D_real: -0.009607 Loss_D_fake 0.010967
[1459/5000][275/535][150572] Loss_D: -0.018852 Loss_G: 0.006887 Loss_D_real: -0.016748 Loss_D_fake 0.002104
[1459/5000][280/535][150573] Loss_D: -0.020095 Loss_G: 0.014360 Loss_D_real: -0.029372 Loss_D_fake -0.009277
[1459/5000][285/535][150574] Loss_D: -0.020469 Loss_G: 0.014846 Loss_D_real: -0.024200 Loss_D_fake -0.003731
[1459/5000][290/535][150575] Loss_D: -0.019751 Loss_G: 0.013229 Loss_D_real: -0.027937 Loss_D_fake -0.008186
[1459/5000][295/535][150576] Loss_D: -0.020312 Loss_G: 0.005612 Loss_D_real: -0.019324 Loss_D_fake 0.000988
[1459/5000][300/535][150577] Loss_D: -0.018265 Loss_G: 0.001192 Loss_D_real: -0.018672 Loss_D_fake -0.000408
[1459/5000][305/535][150578] Loss_D: -0.018793 Loss_G: -0.007531 Loss_D_real: 0.002121 Loss_D_fake 0.020913
[1459/5000][310/535][150579] Loss_D: -0.020340 Loss_G: 0.004546 Loss_D_real: -0.013714 Loss_D_fake 0.006627
[1459/5000][315/535][150580] Loss_D: -0.020156 Loss_G: 0.021209 Loss_D_real: -0.025939 Loss_D_fake -0.005783
[1459/5000][320/535][150581] Loss_D: -0.020283 Loss_G: 0.007954 Loss_D_real: -0.024548 Loss_D_fake -0.004265
[1459/5000][325/535][150582] Loss_D: -0.021082 Loss_G: 0.016065 Loss_D_real: -0.016756 Loss_D_fake 0.004326
[1459/5000][330/535][150583] Loss_D: -0.020256 Loss_G: 0.016107 Loss_D_real: -0.026260 Loss_D_fake -0.006004
[1459/5000][335/535][150584] Loss_D: -0.018892 Loss_G: 0.015228 Loss_D_real: -0.010320 Loss_D_fake 0.008572
[1459/5000][340/535][150585] Loss_D: -0.019655 Loss_G: 0.009567 Loss_D_real: -0.031307 Loss_D_fake -0.011653
[1459/5000][345/535][150586] Loss_D: -0.019536 Loss_G: -0.012465 Loss_D_real: 0.002813 Loss_D_fake 0.022349
[1459/5000][350/535][150587] Loss_D: -0.018549 Loss_G: 0.004868 Loss_D_real: -0.025185 Loss_D_fake -0.006636
[1459/5000][355/535][150588] Loss_D: -0.019961 Loss_G: 0.009990 Loss_D_real: -0.017663 Loss_D_fake 0.002297
[1459/5000][360/535][150589] Loss_D: -0.018104 Loss_G: 0.003151 Loss_D_real: -0.007878 Loss_D_fake 0.010226
[1459/5000][365/535][150590] Loss_D: -0.018506 Loss_G: 0.006998 Loss_D_real: -0.013792 Loss_D_fake 0.004714
[1459/5000][370/535][150591] Loss_D: -0.019212 Loss_G: 0.027547 Loss_D_real: -0.027281 Loss_D_fake -0.008069
[1459/5000][375/535][150592] Loss_D: -0.019171 Loss_G: -0.009014 Loss_D_real: -0.000266 Loss_D_fake 0.018905
[1459/5000][380/535][150593] Loss_D: -0.018959 Loss_G: -0.005427 Loss_D_real: -0.001290 Loss_D_fake 0.017669
[1459/5000][385/535][150594] Loss_D: -0.019975 Loss_G: 0.001660 Loss_D_real: -0.002128 Loss_D_fake 0.017847
[1459/5000][390/535][150595] Loss_D: -0.020569 Loss_G: 0.008772 Loss_D_real: -0.015792 Loss_D_fake 0.004777
[1459/5000][395/535][150596] Loss_D: -0.019044 Loss_G: 0.008123 Loss_D_real: -0.024377 Loss_D_fake -0.005333
[1459/5000][400/535][150597] Loss_D: -0.020388 Loss_G: 0.008185 Loss_D_real: -0.025280 Loss_D_fake -0.004892
[1459/5000][405/535][150598] Loss_D: -0.019983 Loss_G: -0.003104 Loss_D_real: -0.025889 Loss_D_fake -0.005906
[1459/5000][410/535][150599] Loss_D: -0.020546 Loss_G: 0.005337 Loss_D_real: -0.014709 Loss_D_fake 0.005837
[1459/5000][415/535][150600] Loss_D: -0.020983 Loss_G: 0.028312 Loss_D_real: -0.027880 Loss_D_fake -0.006896
[1459/5000][420/535][150601] Loss_D: -0.020207 Loss_G: -0.005762 Loss_D_real: -0.003098 Loss_D_fake 0.017108
[1459/5000][425/535][150602] Loss_D: -0.018786 Loss_G: -0.000225 Loss_D_real: -0.003578 Loss_D_fake 0.015208
[1459/5000][430/535][150603] Loss_D: -0.022170 Loss_G: 0.011555 Loss_D_real: -0.013455 Loss_D_fake 0.008715
[1459/5000][435/535][150604] Loss_D: -0.019351 Loss_G: 0.004910 Loss_D_real: -0.013246 Loss_D_fake 0.006105
[1459/5000][440/535][150605] Loss_D: -0.020133 Loss_G: 0.003898 Loss_D_real: -0.007138 Loss_D_fake 0.012995
[1459/5000][445/535][150606] Loss_D: -0.019655 Loss_G: 0.002721 Loss_D_real: -0.014356 Loss_D_fake 0.005299
[1459/5000][450/535][150607] Loss_D: -0.019883 Loss_G: 0.007472 Loss_D_real: -0.010708 Loss_D_fake 0.009175
[1459/5000][455/535][150608] Loss_D: -0.020428 Loss_G: -0.004931 Loss_D_real: 0.001286 Loss_D_fake 0.021714
[1459/5000][460/535][150609] Loss_D: -0.017454 Loss_G: 0.014453 Loss_D_real: -0.030337 Loss_D_fake -0.012882
[1459/5000][465/535][150610] Loss_D: -0.019800 Loss_G: 0.006880 Loss_D_real: -0.014938 Loss_D_fake 0.004862
[1459/5000][470/535][150611] Loss_D: -0.020512 Loss_G: -0.010094 Loss_D_real: 0.006482 Loss_D_fake 0.026994
[1459/5000][475/535][150612] Loss_D: -0.020203 Loss_G: 0.014657 Loss_D_real: -0.021038 Loss_D_fake -0.000835
[1459/5000][480/535][150613] Loss_D: -0.018714 Loss_G: -0.016125 Loss_D_real: -0.002117 Loss_D_fake 0.016597
[1459/5000][485/535][150614] Loss_D: -0.018619 Loss_G: 0.019251 Loss_D_real: -0.028741 Loss_D_fake -0.010122
[1459/5000][490/535][150615] Loss_D: -0.018844 Loss_G: -0.011179 Loss_D_real: 0.000933 Loss_D_fake 0.019777
[1459/5000][495/535][150616] Loss_D: -0.020191 Loss_G: 0.002909 Loss_D_real: -0.014661 Loss_D_fake 0.005530
[1459/5000][500/535][150617] Loss_D: -0.020025 Loss_G: -0.000943 Loss_D_real: -0.003781 Loss_D_fake 0.016243
[1459/5000][505/535][150618] Loss_D: -0.019280 Loss_G: 0.004670 Loss_D_real: -0.022234 Loss_D_fake -0.002954
[1459/5000][510/535][150619] Loss_D: -0.020088 Loss_G: 0.022394 Loss_D_real: -0.026930 Loss_D_fake -0.006841
[1459/5000][515/535][150620] Loss_D: -0.019074 Loss_G: 0.018066 Loss_D_real: -0.019112 Loss_D_fake -0.000038
[1459/5000][520/535][150621] Loss_D: -0.019564 Loss_G: 0.004887 Loss_D_real: -0.025248 Loss_D_fake -0.005684
[1459/5000][525/535][150622] Loss_D: -0.020386 Loss_G: 0.026591 Loss_D_real: -0.027511 Loss_D_fake -0.007125
[1459/5000][530/535][150623] Loss_D: -0.019849 Loss_G: 0.002737 Loss_D_real: -0.008430 Loss_D_fake 0.011418
[1459/5000][535/535][150624] Loss_D: -0.016852 Loss_G: -0.018452 Loss_D_real: -0.012607 Loss_D_fake 0.004245
[1460/5000][5/535][150625] Loss_D: -0.019432 Loss_G: 0.000132 Loss_D_real: -0.006736 Loss_D_fake 0.012696
[1460/5000][10/535][150626] Loss_D: -0.019579 Loss_G: 0.010203 Loss_D_real: -0.017613 Loss_D_fake 0.001965
[1460/5000][15/535][150627] Loss_D: -0.019036 Loss_G: 0.015369 Loss_D_real: -0.016780 Loss_D_fake 0.002256
[1460/5000][20/535][150628] Loss_D: -0.019767 Loss_G: 0.005489 Loss_D_real: -0.013976 Loss_D_fake 0.005792
[1460/5000][25/535][150629] Loss_D: -0.020028 Loss_G: 0.005847 Loss_D_real: -0.010959 Loss_D_fake 0.009069
[1460/5000][30/535][150630] Loss_D: -0.019601 Loss_G: -0.003856 Loss_D_real: -0.014591 Loss_D_fake 0.005011
[1460/5000][35/535][150631] Loss_D: -0.020198 Loss_G: 0.015819 Loss_D_real: -0.027940 Loss_D_fake -0.007742
[1460/5000][40/535][150632] Loss_D: -0.019121 Loss_G: 0.017794 Loss_D_real: -0.024286 Loss_D_fake -0.005164
[1460/5000][45/535][150633] Loss_D: -0.020062 Loss_G: -0.002859 Loss_D_real: -0.012554 Loss_D_fake 0.007509
[1460/5000][50/535][150634] Loss_D: -0.020541 Loss_G: 0.011857 Loss_D_real: -0.016556 Loss_D_fake 0.003985
[1460/5000][55/535][150635] Loss_D: -0.019373 Loss_G: 0.005211 Loss_D_real: -0.012785 Loss_D_fake 0.006588
[1460/5000][60/535][150636] Loss_D: -0.018687 Loss_G: 0.021573 Loss_D_real: -0.030572 Loss_D_fake -0.011885
[1460/5000][65/535][150637] Loss_D: -0.019613 Loss_G: 0.006731 Loss_D_real: -0.016583 Loss_D_fake 0.003030
[1460/5000][70/535][150638] Loss_D: -0.020154 Loss_G: 0.013476 Loss_D_real: -0.021044 Loss_D_fake -0.000891
[1460/5000][75/535][150639] Loss_D: -0.019570 Loss_G: 0.013064 Loss_D_real: -0.020841 Loss_D_fake -0.001271
[1460/5000][80/535][150640] Loss_D: -0.019164 Loss_G: -0.000130 Loss_D_real: -0.009255 Loss_D_fake 0.009909
[1460/5000][85/535][150641] Loss_D: -0.019318 Loss_G: 0.029119 Loss_D_real: -0.023478 Loss_D_fake -0.004160
[1460/5000][90/535][150642] Loss_D: -0.016806 Loss_G: 0.035179 Loss_D_real: -0.030368 Loss_D_fake -0.013562
[1460/5000][95/535][150643] Loss_D: -0.020375 Loss_G: -0.005574 Loss_D_real: -0.009197 Loss_D_fake 0.011178
[1460/5000][100/535][150644] Loss_D: -0.020926 Loss_G: 0.015753 Loss_D_real: -0.023437 Loss_D_fake -0.002511
[1460/5000][105/535][150645] Loss_D: -0.021024 Loss_G: 0.004845 Loss_D_real: -0.022630 Loss_D_fake -0.001606
[1460/5000][110/535][150646] Loss_D: -0.020195 Loss_G: 0.017885 Loss_D_real: -0.028512 Loss_D_fake -0.008317
[1460/5000][115/535][150647] Loss_D: -0.021025 Loss_G: 0.001426 Loss_D_real: -0.012001 Loss_D_fake 0.009024
[1460/5000][120/535][150648] Loss_D: -0.019983 Loss_G: -0.019288 Loss_D_real: -0.000795 Loss_D_fake 0.019188
[1460/5000][125/535][150649] Loss_D: -0.019034 Loss_G: 0.016729 Loss_D_real: -0.024061 Loss_D_fake -0.005027
[1460/5000][130/535][150650] Loss_D: -0.019855 Loss_G: 0.015238 Loss_D_real: -0.025224 Loss_D_fake -0.005369
[1460/5000][135/535][150651] Loss_D: -0.019967 Loss_G: -0.013213 Loss_D_real: -0.012876 Loss_D_fake 0.007092
[1460/5000][140/535][150652] Loss_D: -0.020355 Loss_G: 0.000147 Loss_D_real: -0.013379 Loss_D_fake 0.006975
[1460/5000][145/535][150653] Loss_D: -0.020663 Loss_G: 0.010745 Loss_D_real: -0.010825 Loss_D_fake 0.009839
[1460/5000][150/535][150654] Loss_D: -0.021366 Loss_G: 0.024787 Loss_D_real: -0.025481 Loss_D_fake -0.004115
[1460/5000][155/535][150655] Loss_D: -0.021482 Loss_G: -0.003999 Loss_D_real: -0.000629 Loss_D_fake 0.020852
[1460/5000][160/535][150656] Loss_D: -0.019283 Loss_G: 0.033572 Loss_D_real: -0.023989 Loss_D_fake -0.004705
[1460/5000][165/535][150657] Loss_D: -0.019557 Loss_G: 0.020565 Loss_D_real: -0.023172 Loss_D_fake -0.003615
[1460/5000][170/535][150658] Loss_D: -0.019585 Loss_G: 0.003174 Loss_D_real: -0.026976 Loss_D_fake -0.007391
[1460/5000][175/535][150659] Loss_D: -0.020168 Loss_G: 0.021818 Loss_D_real: -0.020393 Loss_D_fake -0.000226
[1460/5000][180/535][150660] Loss_D: -0.020972 Loss_G: 0.000081 Loss_D_real: -0.016818 Loss_D_fake 0.004154
[1460/5000][185/535][150661] Loss_D: -0.020605 Loss_G: -0.003907 Loss_D_real: -0.005174 Loss_D_fake 0.015432
[1460/5000][190/535][150662] Loss_D: -0.020920 Loss_G: 0.010075 Loss_D_real: -0.027426 Loss_D_fake -0.006506
[1460/5000][195/535][150663] Loss_D: -0.019019 Loss_G: -0.015290 Loss_D_real: -0.003466 Loss_D_fake 0.015553
[1460/5000][200/535][150664] Loss_D: -0.019653 Loss_G: 0.006732 Loss_D_real: -0.013945 Loss_D_fake 0.005708
[1460/5000][205/535][150665] Loss_D: -0.020056 Loss_G: 0.021088 Loss_D_real: -0.018572 Loss_D_fake 0.001484
[1460/5000][210/535][150666] Loss_D: -0.020380 Loss_G: -0.001112 Loss_D_real: -0.004080 Loss_D_fake 0.016300
[1460/5000][215/535][150667] Loss_D: -0.019239 Loss_G: 0.007806 Loss_D_real: -0.017591 Loss_D_fake 0.001648
[1460/5000][220/535][150668] Loss_D: -0.021256 Loss_G: 0.009912 Loss_D_real: -0.012154 Loss_D_fake 0.009102
[1460/5000][225/535][150669] Loss_D: -0.020709 Loss_G: 0.002591 Loss_D_real: -0.020848 Loss_D_fake -0.000139
[1460/5000][230/535][150670] Loss_D: -0.019196 Loss_G: 0.019336 Loss_D_real: -0.027605 Loss_D_fake -0.008409
[1460/5000][235/535][150671] Loss_D: -0.019906 Loss_G: 0.018274 Loss_D_real: -0.023208 Loss_D_fake -0.003302
[1460/5000][240/535][150672] Loss_D: -0.020541 Loss_G: 0.010250 Loss_D_real: -0.033951 Loss_D_fake -0.013410
[1460/5000][245/535][150673] Loss_D: -0.020340 Loss_G: -0.006534 Loss_D_real: -0.010179 Loss_D_fake 0.010160
[1460/5000][250/535][150674] Loss_D: -0.022406 Loss_G: 0.016279 Loss_D_real: -0.006374 Loss_D_fake 0.016032
[1460/5000][255/535][150675] Loss_D: -0.018783 Loss_G: 0.010700 Loss_D_real: -0.021348 Loss_D_fake -0.002565
[1460/5000][260/535][150676] Loss_D: -0.020761 Loss_G: -0.001617 Loss_D_real: -0.009620 Loss_D_fake 0.011142
[1460/5000][265/535][150677] Loss_D: -0.020043 Loss_G: 0.009560 Loss_D_real: -0.010856 Loss_D_fake 0.009187
[1460/5000][270/535][150678] Loss_D: -0.020860 Loss_G: -0.008310 Loss_D_real: -0.002539 Loss_D_fake 0.018322
[1460/5000][275/535][150679] Loss_D: -0.018784 Loss_G: 0.017581 Loss_D_real: -0.025060 Loss_D_fake -0.006276
[1460/5000][280/535][150680] Loss_D: -0.021664 Loss_G: 0.015783 Loss_D_real: -0.022309 Loss_D_fake -0.000645
[1460/5000][285/535][150681] Loss_D: -0.021985 Loss_G: -0.010930 Loss_D_real: -0.023119 Loss_D_fake -0.001134
[1460/5000][290/535][150682] Loss_D: -0.018993 Loss_G: -0.007770 Loss_D_real: -0.022452 Loss_D_fake -0.003460
[1460/5000][295/535][150683] Loss_D: -0.019396 Loss_G: 0.019952 Loss_D_real: -0.022622 Loss_D_fake -0.003226
[1460/5000][300/535][150684] Loss_D: -0.020131 Loss_G: 0.000789 Loss_D_real: -0.000001 Loss_D_fake 0.020129
[1460/5000][305/535][150685] Loss_D: -0.019319 Loss_G: -0.002811 Loss_D_real: -0.014596 Loss_D_fake 0.004723
[1460/5000][310/535][150686] Loss_D: -0.018672 Loss_G: -0.007692 Loss_D_real: -0.002871 Loss_D_fake 0.015801
[1460/5000][315/535][150687] Loss_D: -0.019007 Loss_G: 0.011502 Loss_D_real: -0.026238 Loss_D_fake -0.007231
[1460/5000][320/535][150688] Loss_D: -0.020197 Loss_G: 0.021804 Loss_D_real: -0.032331 Loss_D_fake -0.012133
[1460/5000][325/535][150689] Loss_D: -0.020162 Loss_G: 0.002765 Loss_D_real: -0.014232 Loss_D_fake 0.005930
[1460/5000][330/535][150690] Loss_D: -0.019475 Loss_G: 0.020314 Loss_D_real: -0.030550 Loss_D_fake -0.011075
[1460/5000][335/535][150691] Loss_D: -0.021198 Loss_G: 0.008877 Loss_D_real: -0.013549 Loss_D_fake 0.007649
[1460/5000][340/535][150692] Loss_D: -0.020480 Loss_G: -0.008272 Loss_D_real: -0.009806 Loss_D_fake 0.010675
[1460/5000][345/535][150693] Loss_D: -0.018181 Loss_G: -0.011393 Loss_D_real: 0.009422 Loss_D_fake 0.027602
[1460/5000][350/535][150694] Loss_D: -0.019918 Loss_G: -0.003584 Loss_D_real: -0.004770 Loss_D_fake 0.015148
[1460/5000][355/535][150695] Loss_D: -0.019634 Loss_G: -0.016787 Loss_D_real: -0.005391 Loss_D_fake 0.014243
[1460/5000][360/535][150696] Loss_D: -0.020462 Loss_G: 0.005903 Loss_D_real: -0.011592 Loss_D_fake 0.008870
[1460/5000][365/535][150697] Loss_D: -0.019080 Loss_G: 0.005017 Loss_D_real: -0.011844 Loss_D_fake 0.007236
[1460/5000][370/535][150698] Loss_D: -0.020277 Loss_G: 0.010323 Loss_D_real: -0.025575 Loss_D_fake -0.005298
[1460/5000][375/535][150699] Loss_D: -0.019001 Loss_G: -0.002593 Loss_D_real: -0.007938 Loss_D_fake 0.011063
[1460/5000][380/535][150700] Loss_D: -0.020288 Loss_G: 0.022607 Loss_D_real: -0.027811 Loss_D_fake -0.007523
[1460/5000][385/535][150701] Loss_D: -0.018929 Loss_G: -0.002870 Loss_D_real: -0.011736 Loss_D_fake 0.007192
[1460/5000][390/535][150702] Loss_D: -0.017976 Loss_G: 0.025086 Loss_D_real: -0.030720 Loss_D_fake -0.012744
[1460/5000][395/535][150703] Loss_D: -0.021086 Loss_G: -0.010725 Loss_D_real: -0.003333 Loss_D_fake 0.017754
[1460/5000][400/535][150704] Loss_D: -0.019163 Loss_G: 0.001431 Loss_D_real: -0.006865 Loss_D_fake 0.012299
[1460/5000][405/535][150705] Loss_D: -0.019113 Loss_G: 0.008579 Loss_D_real: -0.015464 Loss_D_fake 0.003649
[1460/5000][410/535][150706] Loss_D: -0.019723 Loss_G: -0.002041 Loss_D_real: -0.015111 Loss_D_fake 0.004612
[1460/5000][415/535][150707] Loss_D: -0.019675 Loss_G: 0.003055 Loss_D_real: -0.025909 Loss_D_fake -0.006234
[1460/5000][420/535][150708] Loss_D: -0.019795 Loss_G: 0.015531 Loss_D_real: -0.018843 Loss_D_fake 0.000952
[1460/5000][425/535][150709] Loss_D: -0.020186 Loss_G: -0.001534 Loss_D_real: -0.016901 Loss_D_fake 0.003284
[1460/5000][430/535][150710] Loss_D: -0.019556 Loss_G: 0.007579 Loss_D_real: -0.025352 Loss_D_fake -0.005796
[1460/5000][435/535][150711] Loss_D: -0.019451 Loss_G: 0.004540 Loss_D_real: -0.014849 Loss_D_fake 0.004602
[1460/5000][440/535][150712] Loss_D: -0.019856 Loss_G: -0.005045 Loss_D_real: -0.018358 Loss_D_fake 0.001499
[1460/5000][445/535][150713] Loss_D: -0.021099 Loss_G: 0.012146 Loss_D_real: -0.016482 Loss_D_fake 0.004617
[1460/5000][450/535][150714] Loss_D: -0.020493 Loss_G: 0.013671 Loss_D_real: -0.016948 Loss_D_fake 0.003544
[1460/5000][455/535][150715] Loss_D: -0.020061 Loss_G: -0.000231 Loss_D_real: -0.009915 Loss_D_fake 0.010147
[1460/5000][460/535][150716] Loss_D: -0.018912 Loss_G: -0.010682 Loss_D_real: -0.008607 Loss_D_fake 0.010306
[1460/5000][465/535][150717] Loss_D: -0.018513 Loss_G: 0.008539 Loss_D_real: -0.026092 Loss_D_fake -0.007579
[1460/5000][470/535][150718] Loss_D: -0.019613 Loss_G: 0.005511 Loss_D_real: -0.012583 Loss_D_fake 0.007030
[1460/5000][475/535][150719] Loss_D: -0.019139 Loss_G: 0.007902 Loss_D_real: -0.023292 Loss_D_fake -0.004153
[1460/5000][480/535][150720] Loss_D: -0.021478 Loss_G: 0.021909 Loss_D_real: -0.017401 Loss_D_fake 0.004077
[1460/5000][485/535][150721] Loss_D: -0.018096 Loss_G: 0.023369 Loss_D_real: -0.014716 Loss_D_fake 0.003381
[1460/5000][490/535][150722] Loss_D: -0.018446 Loss_G: 0.018215 Loss_D_real: -0.041209 Loss_D_fake -0.022763
[1460/5000][495/535][150723] Loss_D: -0.021070 Loss_G: -0.000542 Loss_D_real: -0.006259 Loss_D_fake 0.014811
[1460/5000][500/535][150724] Loss_D: -0.021703 Loss_G: 0.010461 Loss_D_real: -0.019376 Loss_D_fake 0.002327
[1460/5000][505/535][150725] Loss_D: -0.020436 Loss_G: 0.012726 Loss_D_real: -0.017089 Loss_D_fake 0.003347
[1460/5000][510/535][150726] Loss_D: -0.019996 Loss_G: 0.020434 Loss_D_real: -0.020530 Loss_D_fake -0.000534
[1460/5000][515/535][150727] Loss_D: -0.020981 Loss_G: 0.003780 Loss_D_real: -0.020643 Loss_D_fake 0.000338
[1460/5000][520/535][150728] Loss_D: -0.019739 Loss_G: 0.020131 Loss_D_real: -0.034444 Loss_D_fake -0.014705
[1460/5000][525/535][150729] Loss_D: -0.019694 Loss_G: 0.007896 Loss_D_real: -0.008026 Loss_D_fake 0.011668
[1460/5000][530/535][150730] Loss_D: -0.020647 Loss_G: -0.000449 Loss_D_real: -0.016162 Loss_D_fake 0.004485
[1460/5000][535/535][150731] Loss_D: -0.022176 Loss_G: -0.031555 Loss_D_real: -0.022672 Loss_D_fake -0.000497
[1461/5000][5/535][150732] Loss_D: -0.019043 Loss_G: -0.004235 Loss_D_real: -0.010636 Loss_D_fake 0.008406
[1461/5000][10/535][150733] Loss_D: -0.019120 Loss_G: 0.007180 Loss_D_real: -0.007653 Loss_D_fake 0.011467
[1461/5000][15/535][150734] Loss_D: -0.018935 Loss_G: 0.021544 Loss_D_real: -0.026882 Loss_D_fake -0.007947
[1461/5000][20/535][150735] Loss_D: -0.020245 Loss_G: 0.005049 Loss_D_real: -0.003633 Loss_D_fake 0.016611
[1461/5000][25/535][150736] Loss_D: -0.020056 Loss_G: -0.010383 Loss_D_real: -0.013533 Loss_D_fake 0.006523
[1461/5000][30/535][150737] Loss_D: -0.021030 Loss_G: 0.026869 Loss_D_real: -0.018357 Loss_D_fake 0.002673
[1461/5000][35/535][150738] Loss_D: -0.019456 Loss_G: -0.002760 Loss_D_real: 0.005234 Loss_D_fake 0.024690
[1461/5000][40/535][150739] Loss_D: -0.020574 Loss_G: -0.000950 Loss_D_real: -0.027669 Loss_D_fake -0.007096
[1461/5000][45/535][150740] Loss_D: -0.020284 Loss_G: -0.004063 Loss_D_real: -0.011288 Loss_D_fake 0.008997
[1461/5000][50/535][150741] Loss_D: -0.019070 Loss_G: -0.019060 Loss_D_real: 0.002103 Loss_D_fake 0.021173
[1461/5000][55/535][150742] Loss_D: -0.019259 Loss_G: 0.026388 Loss_D_real: -0.024374 Loss_D_fake -0.005115
[1461/5000][60/535][150743] Loss_D: -0.019944 Loss_G: -0.002900 Loss_D_real: -0.004630 Loss_D_fake 0.015314
[1461/5000][65/535][150744] Loss_D: -0.019660 Loss_G: -0.001113 Loss_D_real: -0.011902 Loss_D_fake 0.007758
[1461/5000][70/535][150745] Loss_D: -0.020250 Loss_G: -0.010239 Loss_D_real: -0.013074 Loss_D_fake 0.007175
[1461/5000][75/535][150746] Loss_D: -0.020860 Loss_G: 0.002810 Loss_D_real: -0.008015 Loss_D_fake 0.012845
[1461/5000][80/535][150747] Loss_D: -0.020815 Loss_G: 0.013667 Loss_D_real: -0.026970 Loss_D_fake -0.006155
[1461/5000][85/535][150748] Loss_D: -0.021310 Loss_G: 0.015432 Loss_D_real: -0.020668 Loss_D_fake 0.000642
[1461/5000][90/535][150749] Loss_D: -0.020939 Loss_G: 0.007893 Loss_D_real: -0.028173 Loss_D_fake -0.007234
[1461/5000][95/535][150750] Loss_D: -0.020855 Loss_G: 0.016417 Loss_D_real: -0.031419 Loss_D_fake -0.010564
[1461/5000][100/535][150751] Loss_D: -0.019069 Loss_G: 0.003522 Loss_D_real: -0.021722 Loss_D_fake -0.002653
[1461/5000][105/535][150752] Loss_D: -0.020006 Loss_G: 0.008777 Loss_D_real: -0.026352 Loss_D_fake -0.006346
[1461/5000][110/535][150753] Loss_D: -0.020136 Loss_G: -0.003970 Loss_D_real: -0.001871 Loss_D_fake 0.018265
[1461/5000][115/535][150754] Loss_D: -0.020332 Loss_G: 0.018796 Loss_D_real: -0.022874 Loss_D_fake -0.002542
[1461/5000][120/535][150755] Loss_D: -0.021020 Loss_G: 0.009851 Loss_D_real: -0.024983 Loss_D_fake -0.003963
[1461/5000][125/535][150756] Loss_D: -0.019839 Loss_G: 0.013405 Loss_D_real: -0.022518 Loss_D_fake -0.002679
[1461/5000][130/535][150757] Loss_D: -0.020276 Loss_G: 0.008723 Loss_D_real: -0.022899 Loss_D_fake -0.002623
[1461/5000][135/535][150758] Loss_D: -0.020396 Loss_G: 0.012765 Loss_D_real: -0.020255 Loss_D_fake 0.000141
[1461/5000][140/535][150759] Loss_D: -0.018900 Loss_G: -0.006001 Loss_D_real: -0.010575 Loss_D_fake 0.008325
[1461/5000][145/535][150760] Loss_D: -0.020623 Loss_G: 0.022019 Loss_D_real: -0.022265 Loss_D_fake -0.001642
[1461/5000][150/535][150761] Loss_D: -0.020778 Loss_G: -0.001471 Loss_D_real: -0.021733 Loss_D_fake -0.000955
[1461/5000][155/535][150762] Loss_D: -0.019563 Loss_G: 0.024609 Loss_D_real: -0.032514 Loss_D_fake -0.012951
[1461/5000][160/535][150763] Loss_D: -0.019127 Loss_G: -0.001255 Loss_D_real: -0.008977 Loss_D_fake 0.010150
[1461/5000][165/535][150764] Loss_D: -0.019402 Loss_G: 0.014429 Loss_D_real: -0.024963 Loss_D_fake -0.005561
[1461/5000][170/535][150765] Loss_D: -0.020308 Loss_G: -0.002915 Loss_D_real: -0.025968 Loss_D_fake -0.005660
[1461/5000][175/535][150766] Loss_D: -0.017922 Loss_G: -0.011048 Loss_D_real: 0.006996 Loss_D_fake 0.024918
[1461/5000][180/535][150767] Loss_D: -0.019236 Loss_G: 0.014108 Loss_D_real: -0.022545 Loss_D_fake -0.003309
[1461/5000][185/535][150768] Loss_D: -0.019418 Loss_G: 0.015613 Loss_D_real: -0.015889 Loss_D_fake 0.003529
[1461/5000][190/535][150769] Loss_D: -0.019794 Loss_G: 0.010841 Loss_D_real: -0.028028 Loss_D_fake -0.008234
[1461/5000][195/535][150770] Loss_D: -0.020406 Loss_G: 0.023391 Loss_D_real: -0.033821 Loss_D_fake -0.013415
[1461/5000][200/535][150771] Loss_D: -0.020223 Loss_G: 0.015380 Loss_D_real: -0.007925 Loss_D_fake 0.012298
[1461/5000][205/535][150772] Loss_D: -0.020644 Loss_G: 0.016661 Loss_D_real: -0.021449 Loss_D_fake -0.000805
[1461/5000][210/535][150773] Loss_D: -0.021328 Loss_G: -0.001210 Loss_D_real: -0.013603 Loss_D_fake 0.007725
[1461/5000][215/535][150774] Loss_D: -0.019452 Loss_G: 0.024321 Loss_D_real: -0.026565 Loss_D_fake -0.007113
[1461/5000][220/535][150775] Loss_D: -0.019905 Loss_G: 0.018131 Loss_D_real: -0.020974 Loss_D_fake -0.001069
[1461/5000][225/535][150776] Loss_D: -0.020170 Loss_G: 0.025405 Loss_D_real: -0.020928 Loss_D_fake -0.000758
[1461/5000][230/535][150777] Loss_D: -0.019448 Loss_G: 0.007442 Loss_D_real: -0.018449 Loss_D_fake 0.000998
[1461/5000][235/535][150778] Loss_D: -0.019214 Loss_G: 0.010773 Loss_D_real: -0.024063 Loss_D_fake -0.004849
[1461/5000][240/535][150779] Loss_D: -0.019328 Loss_G: 0.023169 Loss_D_real: -0.022972 Loss_D_fake -0.003644
[1461/5000][245/535][150780] Loss_D: -0.019219 Loss_G: -0.009874 Loss_D_real: -0.010388 Loss_D_fake 0.008832
[1461/5000][250/535][150781] Loss_D: -0.020535 Loss_G: 0.004734 Loss_D_real: -0.008632 Loss_D_fake 0.011903
[1461/5000][255/535][150782] Loss_D: -0.020848 Loss_G: 0.006084 Loss_D_real: -0.012468 Loss_D_fake 0.008380
[1461/5000][260/535][150783] Loss_D: -0.019643 Loss_G: -0.002952 Loss_D_real: 0.013447 Loss_D_fake 0.033090
[1461/5000][265/535][150784] Loss_D: -0.019284 Loss_G: 0.006984 Loss_D_real: -0.019277 Loss_D_fake 0.000006
[1461/5000][270/535][150785] Loss_D: -0.018939 Loss_G: -0.009123 Loss_D_real: -0.011934 Loss_D_fake 0.007004
[1461/5000][275/535][150786] Loss_D: -0.019691 Loss_G: 0.004440 Loss_D_real: -0.007790 Loss_D_fake 0.011901
[1461/5000][280/535][150787] Loss_D: -0.020583 Loss_G: 0.013261 Loss_D_real: -0.010387 Loss_D_fake 0.010196
[1461/5000][285/535][150788] Loss_D: -0.021393 Loss_G: 0.002660 Loss_D_real: -0.023336 Loss_D_fake -0.001943
[1461/5000][290/535][150789] Loss_D: -0.020411 Loss_G: 0.016281 Loss_D_real: -0.011685 Loss_D_fake 0.008726
[1461/5000][295/535][150790] Loss_D: -0.020503 Loss_G: 0.003635 Loss_D_real: -0.023616 Loss_D_fake -0.003114
[1461/5000][300/535][150791] Loss_D: -0.019429 Loss_G: 0.016336 Loss_D_real: -0.024685 Loss_D_fake -0.005256
[1461/5000][305/535][150792] Loss_D: -0.019642 Loss_G: 0.011813 Loss_D_real: -0.006152 Loss_D_fake 0.013490
[1461/5000][310/535][150793] Loss_D: -0.021711 Loss_G: 0.000928 Loss_D_real: -0.014015 Loss_D_fake 0.007696
[1461/5000][315/535][150794] Loss_D: -0.021592 Loss_G: 0.015209 Loss_D_real: -0.028477 Loss_D_fake -0.006886
[1461/5000][320/535][150795] Loss_D: -0.020884 Loss_G: 0.018301 Loss_D_real: -0.021297 Loss_D_fake -0.000412
[1461/5000][325/535][150796] Loss_D: -0.020867 Loss_G: -0.005922 Loss_D_real: -0.008501 Loss_D_fake 0.012366
[1461/5000][330/535][150797] Loss_D: -0.019762 Loss_G: 0.021968 Loss_D_real: -0.020766 Loss_D_fake -0.001003
[1461/5000][335/535][150798] Loss_D: -0.018791 Loss_G: -0.013434 Loss_D_real: 0.004474 Loss_D_fake 0.023265
[1461/5000][340/535][150799] Loss_D: -0.019776 Loss_G: 0.015499 Loss_D_real: -0.024596 Loss_D_fake -0.004819
[1461/5000][345/535][150800] Loss_D: -0.020422 Loss_G: -0.009379 Loss_D_real: -0.001641 Loss_D_fake 0.018781
[1461/5000][350/535][150801] Loss_D: -0.020663 Loss_G: -0.009537 Loss_D_real: 0.010118 Loss_D_fake 0.030781
[1461/5000][355/535][150802] Loss_D: -0.019327 Loss_G: 0.037662 Loss_D_real: -0.022578 Loss_D_fake -0.003251
[1461/5000][360/535][150803] Loss_D: -0.019659 Loss_G: 0.012973 Loss_D_real: -0.008020 Loss_D_fake 0.011638
[1461/5000][365/535][150804] Loss_D: -0.019966 Loss_G: 0.004679 Loss_D_real: -0.018158 Loss_D_fake 0.001808
[1461/5000][370/535][150805] Loss_D: -0.019564 Loss_G: 0.018322 Loss_D_real: -0.035049 Loss_D_fake -0.015485
[1461/5000][375/535][150806] Loss_D: -0.018959 Loss_G: 0.021624 Loss_D_real: -0.025083 Loss_D_fake -0.006124
[1461/5000][380/535][150807] Loss_D: -0.021318 Loss_G: 0.017860 Loss_D_real: -0.004665 Loss_D_fake 0.016653
[1461/5000][385/535][150808] Loss_D: -0.019264 Loss_G: 0.017199 Loss_D_real: -0.018746 Loss_D_fake 0.000518
[1461/5000][390/535][150809] Loss_D: -0.018590 Loss_G: 0.004355 Loss_D_real: -0.011767 Loss_D_fake 0.006823
[1461/5000][395/535][150810] Loss_D: -0.020133 Loss_G: -0.016709 Loss_D_real: -0.007401 Loss_D_fake 0.012733
[1461/5000][400/535][150811] Loss_D: -0.020808 Loss_G: 0.002731 Loss_D_real: -0.023609 Loss_D_fake -0.002801
[1461/5000][405/535][150812] Loss_D: -0.019641 Loss_G: -0.010310 Loss_D_real: -0.008149 Loss_D_fake 0.011492
[1461/5000][410/535][150813] Loss_D: -0.019881 Loss_G: 0.022337 Loss_D_real: -0.019109 Loss_D_fake 0.000771
[1461/5000][415/535][150814] Loss_D: -0.019529 Loss_G: 0.001565 Loss_D_real: -0.002080 Loss_D_fake 0.017450
[1461/5000][420/535][150815] Loss_D: -0.020196 Loss_G: -0.003161 Loss_D_real: -0.011383 Loss_D_fake 0.008812
[1461/5000][425/535][150816] Loss_D: -0.018747 Loss_G: 0.015306 Loss_D_real: -0.026506 Loss_D_fake -0.007759
[1461/5000][430/535][150817] Loss_D: -0.020167 Loss_G: 0.009539 Loss_D_real: -0.011993 Loss_D_fake 0.008175
[1461/5000][435/535][150818] Loss_D: -0.020413 Loss_G: 0.005587 Loss_D_real: -0.019230 Loss_D_fake 0.001182
[1461/5000][440/535][150819] Loss_D: -0.019653 Loss_G: 0.005341 Loss_D_real: -0.019982 Loss_D_fake -0.000329
[1461/5000][445/535][150820] Loss_D: -0.018539 Loss_G: 0.010346 Loss_D_real: -0.022208 Loss_D_fake -0.003670
[1461/5000][450/535][150821] Loss_D: -0.020628 Loss_G: -0.003541 Loss_D_real: -0.008627 Loss_D_fake 0.012001
[1461/5000][455/535][150822] Loss_D: -0.020634 Loss_G: 0.009136 Loss_D_real: -0.003701 Loss_D_fake 0.016933
[1461/5000][460/535][150823] Loss_D: -0.020938 Loss_G: -0.000186 Loss_D_real: -0.010302 Loss_D_fake 0.010636
[1461/5000][465/535][150824] Loss_D: -0.020709 Loss_G: 0.001328 Loss_D_real: -0.009737 Loss_D_fake 0.010971
[1461/5000][470/535][150825] Loss_D: -0.019326 Loss_G: 0.022796 Loss_D_real: -0.033245 Loss_D_fake -0.013919
[1461/5000][475/535][150826] Loss_D: -0.020614 Loss_G: 0.007263 Loss_D_real: -0.009345 Loss_D_fake 0.011268
[1461/5000][480/535][150827] Loss_D: -0.020464 Loss_G: 0.016005 Loss_D_real: -0.019215 Loss_D_fake 0.001249
[1461/5000][485/535][150828] Loss_D: -0.019406 Loss_G: 0.006081 Loss_D_real: -0.018477 Loss_D_fake 0.000929
[1461/5000][490/535][150829] Loss_D: -0.018714 Loss_G: -0.005289 Loss_D_real: -0.006062 Loss_D_fake 0.012652
[1461/5000][495/535][150830] Loss_D: -0.018896 Loss_G: 0.013882 Loss_D_real: -0.024884 Loss_D_fake -0.005988
[1461/5000][500/535][150831] Loss_D: -0.021012 Loss_G: 0.009835 Loss_D_real: -0.006931 Loss_D_fake 0.014081
[1461/5000][505/535][150832] Loss_D: -0.020261 Loss_G: -0.000925 Loss_D_real: 0.004992 Loss_D_fake 0.025253
[1461/5000][510/535][150833] Loss_D: -0.021464 Loss_G: 0.012066 Loss_D_real: -0.020897 Loss_D_fake 0.000568
[1461/5000][515/535][150834] Loss_D: -0.022993 Loss_G: 0.007932 Loss_D_real: -0.008917 Loss_D_fake 0.014076
[1461/5000][520/535][150835] Loss_D: -0.018147 Loss_G: -0.007302 Loss_D_real: -0.001691 Loss_D_fake 0.016457
[1461/5000][525/535][150836] Loss_D: -0.021521 Loss_G: 0.002008 Loss_D_real: -0.002647 Loss_D_fake 0.018874
[1461/5000][530/535][150837] Loss_D: -0.019450 Loss_G: 0.009256 Loss_D_real: -0.019213 Loss_D_fake 0.000237
[1461/5000][535/535][150838] Loss_D: -0.022657 Loss_G: 0.013553 Loss_D_real: -0.020517 Loss_D_fake 0.002140
[1462/5000][5/535][150839] Loss_D: -0.021260 Loss_G: 0.012706 Loss_D_real: -0.014533 Loss_D_fake 0.006727
[1462/5000][10/535][150840] Loss_D: -0.020342 Loss_G: 0.008457 Loss_D_real: -0.019840 Loss_D_fake 0.000502
[1462/5000][15/535][150841] Loss_D: -0.019850 Loss_G: 0.014955 Loss_D_real: -0.024130 Loss_D_fake -0.004280
[1462/5000][20/535][150842] Loss_D: -0.020249 Loss_G: -0.011507 Loss_D_real: -0.001886 Loss_D_fake 0.018363
[1462/5000][25/535][150843] Loss_D: -0.019978 Loss_G: -0.002693 Loss_D_real: 0.001328 Loss_D_fake 0.021306
[1462/5000][30/535][150844] Loss_D: -0.019478 Loss_G: -0.003968 Loss_D_real: -0.014262 Loss_D_fake 0.005215
[1462/5000][35/535][150845] Loss_D: -0.020216 Loss_G: 0.021357 Loss_D_real: -0.010365 Loss_D_fake 0.009851
[1462/5000][40/535][150846] Loss_D: -0.018103 Loss_G: 0.015230 Loss_D_real: -0.029482 Loss_D_fake -0.011379
[1462/5000][45/535][150847] Loss_D: -0.020086 Loss_G: 0.011199 Loss_D_real: -0.016259 Loss_D_fake 0.003827
[1462/5000][50/535][150848] Loss_D: -0.019182 Loss_G: 0.021095 Loss_D_real: -0.024817 Loss_D_fake -0.005635
[1462/5000][55/535][150849] Loss_D: -0.019884 Loss_G: -0.001924 Loss_D_real: -0.007832 Loss_D_fake 0.012053
[1462/5000][60/535][150850] Loss_D: -0.020214 Loss_G: 0.015814 Loss_D_real: -0.027012 Loss_D_fake -0.006798
[1462/5000][65/535][150851] Loss_D: -0.020563 Loss_G: 0.004734 Loss_D_real: -0.017645 Loss_D_fake 0.002918
[1462/5000][70/535][150852] Loss_D: -0.019818 Loss_G: 0.003602 Loss_D_real: -0.013979 Loss_D_fake 0.005839
[1462/5000][75/535][150853] Loss_D: -0.019238 Loss_G: -0.002072 Loss_D_real: -0.024547 Loss_D_fake -0.005309
[1462/5000][80/535][150854] Loss_D: -0.019239 Loss_G: 0.023856 Loss_D_real: -0.024418 Loss_D_fake -0.005178
[1462/5000][85/535][150855] Loss_D: -0.019437 Loss_G: -0.004189 Loss_D_real: -0.002069 Loss_D_fake 0.017368
[1462/5000][90/535][150856] Loss_D: -0.019797 Loss_G: -0.001122 Loss_D_real: -0.012985 Loss_D_fake 0.006812
[1462/5000][95/535][150857] Loss_D: -0.020771 Loss_G: 0.005801 Loss_D_real: -0.012952 Loss_D_fake 0.007819
[1462/5000][100/535][150858] Loss_D: -0.021306 Loss_G: 0.018538 Loss_D_real: -0.016051 Loss_D_fake 0.005255
[1462/5000][105/535][150859] Loss_D: -0.019459 Loss_G: -0.002512 Loss_D_real: 0.000517 Loss_D_fake 0.019976
[1462/5000][110/535][150860] Loss_D: -0.019433 Loss_G: 0.034020 Loss_D_real: -0.034295 Loss_D_fake -0.014863
[1462/5000][115/535][150861] Loss_D: -0.020486 Loss_G: -0.015852 Loss_D_real: -0.001899 Loss_D_fake 0.018587
[1462/5000][120/535][150862] Loss_D: -0.019235 Loss_G: 0.019778 Loss_D_real: -0.017177 Loss_D_fake 0.002058
[1462/5000][125/535][150863] Loss_D: -0.018884 Loss_G: 0.012544 Loss_D_real: -0.027540 Loss_D_fake -0.008656
[1462/5000][130/535][150864] Loss_D: -0.020341 Loss_G: 0.010465 Loss_D_real: -0.022888 Loss_D_fake -0.002547
[1462/5000][135/535][150865] Loss_D: -0.019645 Loss_G: 0.012298 Loss_D_real: -0.032372 Loss_D_fake -0.012727
[1462/5000][140/535][150866] Loss_D: -0.020689 Loss_G: 0.009018 Loss_D_real: -0.006426 Loss_D_fake 0.014263
[1462/5000][145/535][150867] Loss_D: -0.020866 Loss_G: -0.013819 Loss_D_real: -0.011282 Loss_D_fake 0.009583
[1462/5000][150/535][150868] Loss_D: -0.020127 Loss_G: 0.023142 Loss_D_real: -0.027655 Loss_D_fake -0.007528
[1462/5000][155/535][150869] Loss_D: -0.020770 Loss_G: 0.008186 Loss_D_real: -0.024844 Loss_D_fake -0.004074
[1462/5000][160/535][150870] Loss_D: -0.020395 Loss_G: 0.000978 Loss_D_real: -0.013317 Loss_D_fake 0.007078
[1462/5000][165/535][150871] Loss_D: -0.020671 Loss_G: 0.022902 Loss_D_real: -0.026368 Loss_D_fake -0.005697
[1462/5000][170/535][150872] Loss_D: -0.020395 Loss_G: -0.002896 Loss_D_real: -0.008793 Loss_D_fake 0.011602
[1462/5000][175/535][150873] Loss_D: -0.019879 Loss_G: 0.012928 Loss_D_real: -0.010585 Loss_D_fake 0.009294
[1462/5000][180/535][150874] Loss_D: -0.021234 Loss_G: 0.015813 Loss_D_real: -0.014095 Loss_D_fake 0.007138
[1462/5000][185/535][150875] Loss_D: -0.020094 Loss_G: -0.000660 Loss_D_real: -0.008323 Loss_D_fake 0.011771
[1462/5000][190/535][150876] Loss_D: -0.020024 Loss_G: -0.009418 Loss_D_real: -0.008463 Loss_D_fake 0.011561
[1462/5000][195/535][150877] Loss_D: -0.018537 Loss_G: 0.007722 Loss_D_real: -0.022006 Loss_D_fake -0.003470
[1462/5000][200/535][150878] Loss_D: -0.020068 Loss_G: -0.000088 Loss_D_real: -0.008183 Loss_D_fake 0.011885
[1462/5000][205/535][150879] Loss_D: -0.020436 Loss_G: 0.006511 Loss_D_real: -0.011893 Loss_D_fake 0.008543
[1462/5000][210/535][150880] Loss_D: -0.020515 Loss_G: 0.005162 Loss_D_real: -0.007866 Loss_D_fake 0.012649
[1462/5000][215/535][150881] Loss_D: -0.019741 Loss_G: 0.012045 Loss_D_real: -0.010570 Loss_D_fake 0.009171
[1462/5000][220/535][150882] Loss_D: -0.019135 Loss_G: 0.006647 Loss_D_real: -0.026722 Loss_D_fake -0.007587
[1462/5000][225/535][150883] Loss_D: -0.019847 Loss_G: -0.011142 Loss_D_real: -0.025234 Loss_D_fake -0.005387
[1462/5000][230/535][150884] Loss_D: -0.020518 Loss_G: 0.000447 Loss_D_real: -0.006432 Loss_D_fake 0.014087
[1462/5000][235/535][150885] Loss_D: -0.020282 Loss_G: -0.004190 Loss_D_real: -0.013450 Loss_D_fake 0.006832
[1462/5000][240/535][150886] Loss_D: -0.019110 Loss_G: 0.015070 Loss_D_real: -0.036428 Loss_D_fake -0.017318
[1462/5000][245/535][150887] Loss_D: -0.020096 Loss_G: -0.008019 Loss_D_real: -0.009160 Loss_D_fake 0.010935
[1462/5000][250/535][150888] Loss_D: -0.019301 Loss_G: -0.009776 Loss_D_real: -0.001866 Loss_D_fake 0.017435
[1462/5000][255/535][150889] Loss_D: -0.018741 Loss_G: 0.030602 Loss_D_real: -0.030422 Loss_D_fake -0.011682
[1462/5000][260/535][150890] Loss_D: -0.018721 Loss_G: 0.017375 Loss_D_real: -0.035234 Loss_D_fake -0.016513
[1462/5000][265/535][150891] Loss_D: -0.017879 Loss_G: 0.005277 Loss_D_real: -0.008815 Loss_D_fake 0.009064
[1462/5000][270/535][150892] Loss_D: -0.019622 Loss_G: 0.013474 Loss_D_real: -0.022400 Loss_D_fake -0.002778
[1462/5000][275/535][150893] Loss_D: -0.019637 Loss_G: 0.009469 Loss_D_real: -0.021607 Loss_D_fake -0.001971
[1462/5000][280/535][150894] Loss_D: -0.020164 Loss_G: 0.003181 Loss_D_real: -0.010092 Loss_D_fake 0.010072
[1462/5000][285/535][150895] Loss_D: -0.019252 Loss_G: 0.006920 Loss_D_real: -0.023850 Loss_D_fake -0.004598
[1462/5000][290/535][150896] Loss_D: -0.019768 Loss_G: 0.006030 Loss_D_real: -0.024138 Loss_D_fake -0.004370
[1462/5000][295/535][150897] Loss_D: -0.019704 Loss_G: 0.009355 Loss_D_real: -0.018888 Loss_D_fake 0.000816
[1462/5000][300/535][150898] Loss_D: -0.020122 Loss_G: 0.003496 Loss_D_real: -0.016052 Loss_D_fake 0.004070
[1462/5000][305/535][150899] Loss_D: -0.020391 Loss_G: 0.010646 Loss_D_real: -0.003234 Loss_D_fake 0.017158
[1462/5000][310/535][150900] Loss_D: -0.018881 Loss_G: 0.011387 Loss_D_real: -0.014426 Loss_D_fake 0.004455
[1462/5000][315/535][150901] Loss_D: -0.020495 Loss_G: -0.014874 Loss_D_real: 0.003006 Loss_D_fake 0.023501
[1462/5000][320/535][150902] Loss_D: -0.020383 Loss_G: -0.006960 Loss_D_real: 0.002740 Loss_D_fake 0.023123
[1462/5000][325/535][150903] Loss_D: -0.020432 Loss_G: 0.001544 Loss_D_real: -0.013419 Loss_D_fake 0.007012
[1462/5000][330/535][150904] Loss_D: -0.020930 Loss_G: -0.003417 Loss_D_real: 0.003001 Loss_D_fake 0.023930
[1462/5000][335/535][150905] Loss_D: -0.019685 Loss_G: 0.000890 Loss_D_real: -0.011176 Loss_D_fake 0.008509
[1462/5000][340/535][150906] Loss_D: -0.019888 Loss_G: 0.004259 Loss_D_real: -0.014433 Loss_D_fake 0.005455
[1462/5000][345/535][150907] Loss_D: -0.016744 Loss_G: -0.016175 Loss_D_real: 0.011703 Loss_D_fake 0.028447
[1462/5000][350/535][150908] Loss_D: -0.019943 Loss_G: 0.011125 Loss_D_real: -0.019869 Loss_D_fake 0.000073
[1462/5000][355/535][150909] Loss_D: -0.020455 Loss_G: 0.022582 Loss_D_real: -0.031902 Loss_D_fake -0.011448
[1462/5000][360/535][150910] Loss_D: -0.021649 Loss_G: 0.007458 Loss_D_real: -0.032414 Loss_D_fake -0.010766
[1462/5000][365/535][150911] Loss_D: -0.020311 Loss_G: 0.020614 Loss_D_real: -0.023541 Loss_D_fake -0.003231
[1462/5000][370/535][150912] Loss_D: -0.020552 Loss_G: -0.000932 Loss_D_real: -0.025146 Loss_D_fake -0.004593
[1462/5000][375/535][150913] Loss_D: -0.019223 Loss_G: 0.020810 Loss_D_real: -0.017398 Loss_D_fake 0.001826
[1462/5000][380/535][150914] Loss_D: -0.019854 Loss_G: 0.008566 Loss_D_real: -0.024856 Loss_D_fake -0.005002
[1462/5000][385/535][150915] Loss_D: -0.021008 Loss_G: 0.011572 Loss_D_real: -0.022969 Loss_D_fake -0.001961
[1462/5000][390/535][150916] Loss_D: -0.020474 Loss_G: 0.025520 Loss_D_real: -0.030589 Loss_D_fake -0.010115
[1462/5000][395/535][150917] Loss_D: -0.020916 Loss_G: -0.009766 Loss_D_real: -0.011754 Loss_D_fake 0.009161
[1462/5000][400/535][150918] Loss_D: -0.020876 Loss_G: -0.004567 Loss_D_real: -0.006924 Loss_D_fake 0.013952
[1462/5000][405/535][150919] Loss_D: -0.020151 Loss_G: -0.001461 Loss_D_real: -0.014886 Loss_D_fake 0.005265
[1462/5000][410/535][150920] Loss_D: -0.019962 Loss_G: 0.013057 Loss_D_real: -0.018904 Loss_D_fake 0.001058
[1462/5000][415/535][150921] Loss_D: -0.020829 Loss_G: 0.001775 Loss_D_real: -0.007922 Loss_D_fake 0.012908
[1462/5000][420/535][150922] Loss_D: -0.020091 Loss_G: -0.004499 Loss_D_real: -0.021069 Loss_D_fake -0.000978
[1462/5000][425/535][150923] Loss_D: -0.018958 Loss_G: 0.016811 Loss_D_real: -0.014425 Loss_D_fake 0.004534
[1462/5000][430/535][150924] Loss_D: -0.019573 Loss_G: -0.008029 Loss_D_real: -0.006230 Loss_D_fake 0.013343
[1462/5000][435/535][150925] Loss_D: -0.018218 Loss_G: 0.027626 Loss_D_real: -0.038167 Loss_D_fake -0.019949
[1462/5000][440/535][150926] Loss_D: -0.021273 Loss_G: 0.014531 Loss_D_real: -0.013576 Loss_D_fake 0.007697
[1462/5000][445/535][150927] Loss_D: -0.019735 Loss_G: 0.006400 Loss_D_real: -0.014435 Loss_D_fake 0.005300
[1462/5000][450/535][150928] Loss_D: -0.021407 Loss_G: 0.008469 Loss_D_real: -0.028839 Loss_D_fake -0.007432
[1462/5000][455/535][150929] Loss_D: -0.020541 Loss_G: 0.024675 Loss_D_real: -0.015972 Loss_D_fake 0.004570
[1462/5000][460/535][150930] Loss_D: -0.020318 Loss_G: -0.008596 Loss_D_real: -0.005026 Loss_D_fake 0.015292
[1462/5000][465/535][150931] Loss_D: -0.019938 Loss_G: 0.006153 Loss_D_real: -0.010333 Loss_D_fake 0.009605
[1462/5000][470/535][150932] Loss_D: -0.019509 Loss_G: 0.007013 Loss_D_real: -0.005112 Loss_D_fake 0.014397
[1462/5000][475/535][150933] Loss_D: -0.019370 Loss_G: -0.000862 Loss_D_real: -0.018223 Loss_D_fake 0.001147
[1462/5000][480/535][150934] Loss_D: -0.020361 Loss_G: -0.000752 Loss_D_real: 0.000200 Loss_D_fake 0.020561
[1462/5000][485/535][150935] Loss_D: -0.020681 Loss_G: 0.001978 Loss_D_real: -0.014222 Loss_D_fake 0.006459
[1462/5000][490/535][150936] Loss_D: -0.020458 Loss_G: 0.000634 Loss_D_real: -0.013380 Loss_D_fake 0.007078
[1462/5000][495/535][150937] Loss_D: -0.020981 Loss_G: 0.014351 Loss_D_real: -0.011297 Loss_D_fake 0.009685
[1462/5000][500/535][150938] Loss_D: -0.020648 Loss_G: 0.013596 Loss_D_real: -0.024381 Loss_D_fake -0.003733
[1462/5000][505/535][150939] Loss_D: -0.020205 Loss_G: -0.005566 Loss_D_real: -0.005409 Loss_D_fake 0.014796
[1462/5000][510/535][150940] Loss_D: -0.020100 Loss_G: 0.008610 Loss_D_real: -0.002138 Loss_D_fake 0.017962
[1462/5000][515/535][150941] Loss_D: -0.019482 Loss_G: -0.016093 Loss_D_real: -0.006408 Loss_D_fake 0.013075
[1462/5000][520/535][150942] Loss_D: -0.021004 Loss_G: 0.025902 Loss_D_real: -0.013448 Loss_D_fake 0.007556
[1462/5000][525/535][150943] Loss_D: -0.019070 Loss_G: 0.006921 Loss_D_real: -0.008039 Loss_D_fake 0.011031
[1462/5000][530/535][150944] Loss_D: -0.020117 Loss_G: 0.002200 Loss_D_real: -0.013587 Loss_D_fake 0.006531
[1462/5000][535/535][150945] Loss_D: -0.016769 Loss_G: 0.037541 Loss_D_real: -0.011008 Loss_D_fake 0.005762
[1463/5000][5/535][150946] Loss_D: -0.018906 Loss_G: 0.009188 Loss_D_real: -0.034737 Loss_D_fake -0.015831
[1463/5000][10/535][150947] Loss_D: -0.020605 Loss_G: 0.014432 Loss_D_real: -0.021533 Loss_D_fake -0.000928
[1463/5000][15/535][150948] Loss_D: -0.018131 Loss_G: 0.003603 Loss_D_real: -0.026954 Loss_D_fake -0.008823
[1463/5000][20/535][150949] Loss_D: -0.020002 Loss_G: 0.005845 Loss_D_real: -0.007769 Loss_D_fake 0.012233
[1463/5000][25/535][150950] Loss_D: -0.018385 Loss_G: 0.021205 Loss_D_real: -0.033520 Loss_D_fake -0.015134
[1463/5000][30/535][150951] Loss_D: -0.021392 Loss_G: -0.006323 Loss_D_real: -0.013475 Loss_D_fake 0.007917
[1463/5000][35/535][150952] Loss_D: -0.020357 Loss_G: -0.007510 Loss_D_real: -0.002985 Loss_D_fake 0.017372
[1463/5000][40/535][150953] Loss_D: -0.019821 Loss_G: -0.001493 Loss_D_real: -0.017952 Loss_D_fake 0.001869
[1463/5000][45/535][150954] Loss_D: -0.020520 Loss_G: 0.017770 Loss_D_real: -0.025537 Loss_D_fake -0.005017
[1463/5000][50/535][150955] Loss_D: -0.021017 Loss_G: 0.002341 Loss_D_real: -0.019595 Loss_D_fake 0.001422
[1463/5000][55/535][150956] Loss_D: -0.020810 Loss_G: 0.000424 Loss_D_real: -0.015349 Loss_D_fake 0.005461
[1463/5000][60/535][150957] Loss_D: -0.021426 Loss_G: -0.002465 Loss_D_real: -0.022893 Loss_D_fake -0.001467
[1463/5000][65/535][150958] Loss_D: -0.020403 Loss_G: -0.005938 Loss_D_real: 0.000460 Loss_D_fake 0.020863
[1463/5000][70/535][150959] Loss_D: -0.018927 Loss_G: -0.009728 Loss_D_real: -0.004134 Loss_D_fake 0.014793
[1463/5000][75/535][150960] Loss_D: -0.019609 Loss_G: 0.010356 Loss_D_real: -0.012051 Loss_D_fake 0.007558
[1463/5000][80/535][150961] Loss_D: -0.019503 Loss_G: 0.009828 Loss_D_real: -0.015880 Loss_D_fake 0.003623
[1463/5000][85/535][150962] Loss_D: -0.019138 Loss_G: 0.015798 Loss_D_real: -0.017703 Loss_D_fake 0.001435
[1463/5000][90/535][150963] Loss_D: -0.019703 Loss_G: 0.003586 Loss_D_real: -0.024192 Loss_D_fake -0.004489
[1463/5000][95/535][150964] Loss_D: -0.020067 Loss_G: 0.020769 Loss_D_real: -0.012889 Loss_D_fake 0.007178
[1463/5000][100/535][150965] Loss_D: -0.020228 Loss_G: 0.009487 Loss_D_real: -0.025543 Loss_D_fake -0.005315
[1463/5000][105/535][150966] Loss_D: -0.019948 Loss_G: 0.022031 Loss_D_real: -0.030993 Loss_D_fake -0.011045
[1463/5000][110/535][150967] Loss_D: -0.021479 Loss_G: 0.006560 Loss_D_real: -0.031894 Loss_D_fake -0.010416
[1463/5000][115/535][150968] Loss_D: -0.021458 Loss_G: -0.000189 Loss_D_real: -0.003828 Loss_D_fake 0.017630
[1463/5000][120/535][150969] Loss_D: -0.020232 Loss_G: -0.006992 Loss_D_real: 0.002578 Loss_D_fake 0.022810
[1463/5000][125/535][150970] Loss_D: -0.020702 Loss_G: -0.007622 Loss_D_real: -0.011399 Loss_D_fake 0.009303
[1463/5000][130/535][150971] Loss_D: -0.020576 Loss_G: 0.003746 Loss_D_real: -0.008824 Loss_D_fake 0.011752
[1463/5000][135/535][150972] Loss_D: -0.019050 Loss_G: 0.000017 Loss_D_real: -0.012446 Loss_D_fake 0.006604
[1463/5000][140/535][150973] Loss_D: -0.020188 Loss_G: 0.011255 Loss_D_real: -0.009219 Loss_D_fake 0.010969
[1463/5000][145/535][150974] Loss_D: -0.020514 Loss_G: 0.013063 Loss_D_real: -0.013451 Loss_D_fake 0.007063
[1463/5000][150/535][150975] Loss_D: -0.020680 Loss_G: 0.001752 Loss_D_real: -0.007597 Loss_D_fake 0.013083
[1463/5000][155/535][150976] Loss_D: -0.020705 Loss_G: 0.024868 Loss_D_real: -0.011392 Loss_D_fake 0.009312
[1463/5000][160/535][150977] Loss_D: -0.019036 Loss_G: 0.004883 Loss_D_real: -0.025986 Loss_D_fake -0.006949
[1463/5000][165/535][150978] Loss_D: -0.020674 Loss_G: 0.002755 Loss_D_real: -0.035757 Loss_D_fake -0.015083
[1463/5000][170/535][150979] Loss_D: -0.019353 Loss_G: 0.007008 Loss_D_real: -0.021553 Loss_D_fake -0.002200
[1463/5000][175/535][150980] Loss_D: -0.020380 Loss_G: 0.021936 Loss_D_real: -0.028661 Loss_D_fake -0.008281
[1463/5000][180/535][150981] Loss_D: -0.020400 Loss_G: 0.002498 Loss_D_real: -0.017667 Loss_D_fake 0.002732
[1463/5000][185/535][150982] Loss_D: -0.018979 Loss_G: 0.006503 Loss_D_real: -0.014251 Loss_D_fake 0.004728
[1463/5000][190/535][150983] Loss_D: -0.019934 Loss_G: 0.011827 Loss_D_real: -0.021714 Loss_D_fake -0.001779
[1463/5000][195/535][150984] Loss_D: -0.019176 Loss_G: 0.011434 Loss_D_real: -0.018583 Loss_D_fake 0.000593
[1463/5000][200/535][150985] Loss_D: -0.020191 Loss_G: 0.001079 Loss_D_real: -0.019874 Loss_D_fake 0.000317
[1463/5000][205/535][150986] Loss_D: -0.020938 Loss_G: 0.017454 Loss_D_real: -0.009752 Loss_D_fake 0.011186
[1463/5000][210/535][150987] Loss_D: -0.018241 Loss_G: 0.011885 Loss_D_real: -0.033398 Loss_D_fake -0.015157
[1463/5000][215/535][150988] Loss_D: -0.020168 Loss_G: -0.003238 Loss_D_real: -0.010372 Loss_D_fake 0.009796
[1463/5000][220/535][150989] Loss_D: -0.020478 Loss_G: 0.004208 Loss_D_real: -0.021447 Loss_D_fake -0.000969
[1463/5000][225/535][150990] Loss_D: -0.018609 Loss_G: 0.015043 Loss_D_real: -0.029840 Loss_D_fake -0.011231
[1463/5000][230/535][150991] Loss_D: -0.019218 Loss_G: 0.016990 Loss_D_real: -0.029464 Loss_D_fake -0.010246
[1463/5000][235/535][150992] Loss_D: -0.018023 Loss_G: 0.036927 Loss_D_real: -0.026335 Loss_D_fake -0.008312
[1463/5000][240/535][150993] Loss_D: -0.020055 Loss_G: 0.014466 Loss_D_real: -0.016049 Loss_D_fake 0.004006
[1463/5000][245/535][150994] Loss_D: -0.018668 Loss_G: 0.023683 Loss_D_real: -0.034704 Loss_D_fake -0.016036
[1463/5000][250/535][150995] Loss_D: -0.020151 Loss_G: 0.013926 Loss_D_real: -0.016555 Loss_D_fake 0.003595
[1463/5000][255/535][150996] Loss_D: -0.019738 Loss_G: -0.005723 Loss_D_real: -0.014553 Loss_D_fake 0.005186
[1463/5000][260/535][150997] Loss_D: -0.020569 Loss_G: 0.000816 Loss_D_real: -0.013636 Loss_D_fake 0.006933
[1463/5000][265/535][150998] Loss_D: -0.019725 Loss_G: 0.002054 Loss_D_real: -0.014254 Loss_D_fake 0.005471
[1463/5000][270/535][150999] Loss_D: -0.017153 Loss_G: -0.023204 Loss_D_real: 0.008558 Loss_D_fake 0.025711
[1463/5000][275/535][151000] Loss_D: -0.019401 Loss_G: 0.003283 Loss_D_real: 0.003699 Loss_D_fake 0.023100
[1463/5000][375/535][151001] Loss_D: -0.021785 Loss_G: 0.004428 Loss_D_real: -0.015939 Loss_D_fake 0.005847
[1463/5000][380/535][151002] Loss_D: -0.021058 Loss_G: 0.003870 Loss_D_real: -0.012756 Loss_D_fake 0.008302
[1463/5000][385/535][151003] Loss_D: -0.019293 Loss_G: 0.011813 Loss_D_real: -0.027370 Loss_D_fake -0.008077
[1463/5000][390/535][151004] Loss_D: -0.019578 Loss_G: 0.013049 Loss_D_real: -0.019518 Loss_D_fake 0.000061
[1463/5000][395/535][151005] Loss_D: -0.018726 Loss_G: -0.005874 Loss_D_real: -0.007304 Loss_D_fake 0.011422
[1463/5000][400/535][151006] Loss_D: -0.019629 Loss_G: -0.011998 Loss_D_real: -0.032260 Loss_D_fake -0.012631
[1463/5000][405/535][151007] Loss_D: -0.020282 Loss_G: 0.011282 Loss_D_real: -0.009890 Loss_D_fake 0.010391
[1463/5000][410/535][151008] Loss_D: -0.019823 Loss_G: 0.004886 Loss_D_real: -0.013966 Loss_D_fake 0.005857
[1463/5000][415/535][151009] Loss_D: -0.019598 Loss_G: -0.000804 Loss_D_real: -0.005717 Loss_D_fake 0.013881
[1463/5000][420/535][151010] Loss_D: -0.019190 Loss_G: 0.000080 Loss_D_real: -0.016732 Loss_D_fake 0.002458
[1463/5000][425/535][151011] Loss_D: -0.018425 Loss_G: 0.003902 Loss_D_real: -0.022130 Loss_D_fake -0.003705
[1463/5000][430/535][151012] Loss_D: -0.018407 Loss_G: 0.030923 Loss_D_real: -0.041731 Loss_D_fake -0.023324
[1463/5000][435/535][151013] Loss_D: -0.020492 Loss_G: 0.002863 Loss_D_real: -0.007908 Loss_D_fake 0.012585
[1463/5000][440/535][151014] Loss_D: -0.020422 Loss_G: 0.008951 Loss_D_real: -0.011046 Loss_D_fake 0.009376
[1463/5000][445/535][151015] Loss_D: -0.020199 Loss_G: 0.014354 Loss_D_real: -0.018021 Loss_D_fake 0.002178
[1463/5000][450/535][151016] Loss_D: -0.019531 Loss_G: 0.005351 Loss_D_real: -0.017068 Loss_D_fake 0.002463
[1463/5000][455/535][151017] Loss_D: -0.020479 Loss_G: 0.022027 Loss_D_real: -0.023073 Loss_D_fake -0.002594
[1463/5000][460/535][151018] Loss_D: -0.020626 Loss_G: -0.001081 Loss_D_real: -0.008708 Loss_D_fake 0.011918
[1463/5000][465/535][151019] Loss_D: -0.016896 Loss_G: 0.026450 Loss_D_real: -0.040520 Loss_D_fake -0.023624
[1463/5000][470/535][151020] Loss_D: -0.020261 Loss_G: 0.020732 Loss_D_real: -0.031034 Loss_D_fake -0.010773
[1463/5000][475/535][151021] Loss_D: -0.021169 Loss_G: 0.004804 Loss_D_real: -0.023047 Loss_D_fake -0.001878
[1463/5000][480/535][151022] Loss_D: -0.020298 Loss_G: 0.033931 Loss_D_real: -0.021629 Loss_D_fake -0.001331
[1463/5000][485/535][151023] Loss_D: -0.020374 Loss_G: 0.007641 Loss_D_real: -0.016761 Loss_D_fake 0.003614
[1463/5000][490/535][151024] Loss_D: -0.019916 Loss_G: 0.008882 Loss_D_real: -0.017690 Loss_D_fake 0.002227
[1463/5000][495/535][151025] Loss_D: -0.020929 Loss_G: 0.007878 Loss_D_real: -0.024254 Loss_D_fake -0.003325
[1463/5000][500/535][151026] Loss_D: -0.019169 Loss_G: 0.000262 Loss_D_real: -0.010610 Loss_D_fake 0.008559
[1463/5000][505/535][151027] Loss_D: -0.020835 Loss_G: -0.006191 Loss_D_real: -0.015968 Loss_D_fake 0.004867
[1463/5000][510/535][151028] Loss_D: -0.020200 Loss_G: 0.013131 Loss_D_real: -0.017655 Loss_D_fake 0.002546
[1463/5000][515/535][151029] Loss_D: -0.020082 Loss_G: 0.020759 Loss_D_real: -0.014520 Loss_D_fake 0.005562
[1463/5000][520/535][151030] Loss_D: -0.019728 Loss_G: -0.003754 Loss_D_real: -0.014696 Loss_D_fake 0.005032
[1463/5000][525/535][151031] Loss_D: -0.018750 Loss_G: -0.011394 Loss_D_real: -0.004210 Loss_D_fake 0.014540
[1463/5000][530/535][151032] Loss_D: -0.019509 Loss_G: 0.007465 Loss_D_real: -0.019920 Loss_D_fake -0.000411
[1463/5000][535/535][151033] Loss_D: -0.019217 Loss_G: 0.018754 Loss_D_real: -0.036729 Loss_D_fake -0.017512
[1464/5000][5/535][151034] Loss_D: -0.019611 Loss_G: 0.013595 Loss_D_real: -0.013223 Loss_D_fake 0.006388
[1464/5000][10/535][151035] Loss_D: -0.018782 Loss_G: 0.028529 Loss_D_real: -0.013064 Loss_D_fake 0.005718
[1464/5000][15/535][151036] Loss_D: -0.019284 Loss_G: 0.027249 Loss_D_real: -0.023259 Loss_D_fake -0.003975
[1464/5000][20/535][151037] Loss_D: -0.019648 Loss_G: 0.004460 Loss_D_real: -0.024004 Loss_D_fake -0.004356
[1464/5000][25/535][151038] Loss_D: -0.019304 Loss_G: 0.018604 Loss_D_real: -0.028382 Loss_D_fake -0.009077
[1464/5000][30/535][151039] Loss_D: -0.021203 Loss_G: 0.004148 Loss_D_real: -0.015764 Loss_D_fake 0.005439
[1464/5000][35/535][151040] Loss_D: -0.020158 Loss_G: -0.007165 Loss_D_real: -0.007288 Loss_D_fake 0.012870
[1464/5000][40/535][151041] Loss_D: -0.018657 Loss_G: 0.010203 Loss_D_real: -0.029895 Loss_D_fake -0.011238
[1464/5000][45/535][151042] Loss_D: -0.019957 Loss_G: 0.023697 Loss_D_real: -0.017774 Loss_D_fake 0.002184
[1464/5000][50/535][151043] Loss_D: -0.019765 Loss_G: 0.012301 Loss_D_real: -0.019049 Loss_D_fake 0.000716
[1464/5000][55/535][151044] Loss_D: -0.019911 Loss_G: 0.004318 Loss_D_real: -0.012315 Loss_D_fake 0.007597
[1464/5000][60/535][151045] Loss_D: -0.019636 Loss_G: 0.004474 Loss_D_real: -0.015678 Loss_D_fake 0.003958
[1464/5000][65/535][151046] Loss_D: -0.019058 Loss_G: 0.013787 Loss_D_real: -0.027951 Loss_D_fake -0.008893
[1464/5000][70/535][151047] Loss_D: -0.018842 Loss_G: 0.001157 Loss_D_real: -0.010693 Loss_D_fake 0.008149
[1464/5000][75/535][151048] Loss_D: -0.020691 Loss_G: 0.011595 Loss_D_real: -0.017157 Loss_D_fake 0.003534
[1464/5000][80/535][151049] Loss_D: -0.019396 Loss_G: -0.007628 Loss_D_real: -0.007216 Loss_D_fake 0.012180
[1464/5000][85/535][151050] Loss_D: -0.020628 Loss_G: 0.026416 Loss_D_real: -0.020647 Loss_D_fake -0.000020
[1464/5000][90/535][151051] Loss_D: -0.017791 Loss_G: 0.010595 Loss_D_real: -0.007916 Loss_D_fake 0.009875
[1464/5000][95/535][151052] Loss_D: -0.020165 Loss_G: 0.020930 Loss_D_real: -0.022565 Loss_D_fake -0.002400
[1464/5000][100/535][151053] Loss_D: -0.020202 Loss_G: -0.005709 Loss_D_real: -0.019824 Loss_D_fake 0.000378
[1464/5000][105/535][151054] Loss_D: -0.021680 Loss_G: 0.000278 Loss_D_real: -0.009691 Loss_D_fake 0.011988
[1464/5000][110/535][151055] Loss_D: -0.021439 Loss_G: -0.002803 Loss_D_real: -0.005862 Loss_D_fake 0.015576
[1464/5000][115/535][151056] Loss_D: -0.022165 Loss_G: -0.005111 Loss_D_real: -0.015334 Loss_D_fake 0.006831
[1464/5000][120/535][151057] Loss_D: -0.019327 Loss_G: -0.001443 Loss_D_real: -0.016877 Loss_D_fake 0.002450
[1464/5000][125/535][151058] Loss_D: -0.020767 Loss_G: 0.008088 Loss_D_real: -0.017216 Loss_D_fake 0.003551
[1464/5000][130/535][151059] Loss_D: -0.019492 Loss_G: -0.008374 Loss_D_real: 0.002036 Loss_D_fake 0.021528
[1464/5000][135/535][151060] Loss_D: -0.018911 Loss_G: 0.024195 Loss_D_real: -0.031844 Loss_D_fake -0.012933
[1464/5000][140/535][151061] Loss_D: -0.020538 Loss_G: 0.011021 Loss_D_real: -0.006774 Loss_D_fake 0.013764
[1464/5000][145/535][151062] Loss_D: -0.018662 Loss_G: -0.001785 Loss_D_real: 0.002434 Loss_D_fake 0.021096
[1464/5000][150/535][151063] Loss_D: -0.018883 Loss_G: 0.012249 Loss_D_real: -0.022425 Loss_D_fake -0.003542
[1464/5000][155/535][151064] Loss_D: -0.019822 Loss_G: -0.006772 Loss_D_real: -0.011243 Loss_D_fake 0.008579
[1464/5000][160/535][151065] Loss_D: -0.019734 Loss_G: 0.004053 Loss_D_real: -0.009393 Loss_D_fake 0.010341
[1464/5000][165/535][151066] Loss_D: -0.019733 Loss_G: -0.000347 Loss_D_real: -0.012253 Loss_D_fake 0.007480
[1464/5000][170/535][151067] Loss_D: -0.019482 Loss_G: 0.003548 Loss_D_real: -0.010989 Loss_D_fake 0.008493
[1464/5000][175/535][151068] Loss_D: -0.018176 Loss_G: -0.011067 Loss_D_real: -0.001321 Loss_D_fake 0.016855
[1464/5000][180/535][151069] Loss_D: -0.019480 Loss_G: -0.006350 Loss_D_real: 0.001786 Loss_D_fake 0.021265
[1464/5000][185/535][151070] Loss_D: -0.020029 Loss_G: 0.007467 Loss_D_real: -0.005428 Loss_D_fake 0.014601
[1464/5000][190/535][151071] Loss_D: -0.018631 Loss_G: -0.008249 Loss_D_real: -0.006243 Loss_D_fake 0.012388
[1464/5000][195/535][151072] Loss_D: -0.021707 Loss_G: -0.005034 Loss_D_real: -0.000863 Loss_D_fake 0.020844
[1464/5000][200/535][151073] Loss_D: -0.020964 Loss_G: 0.021150 Loss_D_real: -0.025764 Loss_D_fake -0.004801
[1464/5000][205/535][151074] Loss_D: -0.019546 Loss_G: -0.004743 Loss_D_real: 0.003236 Loss_D_fake 0.022782
[1464/5000][210/535][151075] Loss_D: -0.019895 Loss_G: 0.024693 Loss_D_real: -0.016483 Loss_D_fake 0.003412
[1464/5000][215/535][151076] Loss_D: -0.019990 Loss_G: -0.006910 Loss_D_real: -0.005235 Loss_D_fake 0.014755
[1464/5000][220/535][151077] Loss_D: -0.020575 Loss_G: 0.010292 Loss_D_real: -0.008659 Loss_D_fake 0.011916
[1464/5000][225/535][151078] Loss_D: -0.020158 Loss_G: 0.010439 Loss_D_real: -0.016936 Loss_D_fake 0.003222
[1464/5000][230/535][151079] Loss_D: -0.020749 Loss_G: 0.016087 Loss_D_real: -0.027746 Loss_D_fake -0.006997
[1464/5000][235/535][151080] Loss_D: -0.020306 Loss_G: -0.000103 Loss_D_real: -0.002222 Loss_D_fake 0.018083
[1464/5000][240/535][151081] Loss_D: -0.020074 Loss_G: 0.024998 Loss_D_real: -0.020979 Loss_D_fake -0.000905
[1464/5000][245/535][151082] Loss_D: -0.020368 Loss_G: -0.010342 Loss_D_real: -0.015044 Loss_D_fake 0.005324
[1464/5000][250/535][151083] Loss_D: -0.019731 Loss_G: 0.013506 Loss_D_real: -0.017992 Loss_D_fake 0.001739
[1464/5000][255/535][151084] Loss_D: -0.020127 Loss_G: 0.003895 Loss_D_real: -0.020074 Loss_D_fake 0.000053
[1464/5000][260/535][151085] Loss_D: -0.019565 Loss_G: 0.008487 Loss_D_real: -0.022987 Loss_D_fake -0.003422
[1464/5000][265/535][151086] Loss_D: -0.019052 Loss_G: 0.016509 Loss_D_real: -0.018279 Loss_D_fake 0.000773
[1464/5000][270/535][151087] Loss_D: -0.019900 Loss_G: 0.003000 Loss_D_real: -0.012726 Loss_D_fake 0.007175
[1464/5000][275/535][151088] Loss_D: -0.020281 Loss_G: 0.009002 Loss_D_real: -0.026389 Loss_D_fake -0.006108
[1464/5000][280/535][151089] Loss_D: -0.020614 Loss_G: 0.003553 Loss_D_real: -0.014907 Loss_D_fake 0.005706
[1464/5000][285/535][151090] Loss_D: -0.020757 Loss_G: 0.015016 Loss_D_real: -0.022253 Loss_D_fake -0.001496
[1464/5000][290/535][151091] Loss_D: -0.019837 Loss_G: -0.004618 Loss_D_real: -0.003056 Loss_D_fake 0.016781
[1464/5000][295/535][151092] Loss_D: -0.020567 Loss_G: 0.016633 Loss_D_real: -0.012180 Loss_D_fake 0.008388
[1464/5000][300/535][151093] Loss_D: -0.021020 Loss_G: -0.003933 Loss_D_real: -0.007644 Loss_D_fake 0.013376
[1464/5000][305/535][151094] Loss_D: -0.019742 Loss_G: 0.005773 Loss_D_real: -0.015971 Loss_D_fake 0.003772
[1464/5000][310/535][151095] Loss_D: -0.021012 Loss_G: -0.018657 Loss_D_real: -0.009432 Loss_D_fake 0.011579
[1464/5000][315/535][151096] Loss_D: -0.018511 Loss_G: -0.011921 Loss_D_real: -0.011563 Loss_D_fake 0.006949
[1464/5000][320/535][151097] Loss_D: -0.020852 Loss_G: 0.013499 Loss_D_real: -0.016703 Loss_D_fake 0.004149
[1464/5000][325/535][151098] Loss_D: -0.019289 Loss_G: 0.010278 Loss_D_real: -0.016017 Loss_D_fake 0.003272
[1464/5000][330/535][151099] Loss_D: -0.020676 Loss_G: -0.002111 Loss_D_real: -0.009688 Loss_D_fake 0.010988
[1464/5000][335/535][151100] Loss_D: -0.018933 Loss_G: 0.009670 Loss_D_real: -0.015864 Loss_D_fake 0.003069
[1464/5000][340/535][151101] Loss_D: -0.020122 Loss_G: -0.003779 Loss_D_real: -0.009396 Loss_D_fake 0.010727
[1464/5000][345/535][151102] Loss_D: -0.019138 Loss_G: -0.006335 Loss_D_real: -0.009721 Loss_D_fake 0.009417
[1464/5000][350/535][151103] Loss_D: -0.017847 Loss_G: 0.021244 Loss_D_real: -0.026039 Loss_D_fake -0.008192
[1464/5000][355/535][151104] Loss_D: -0.019141 Loss_G: 0.010131 Loss_D_real: -0.021052 Loss_D_fake -0.001911
[1464/5000][360/535][151105] Loss_D: -0.018101 Loss_G: -0.010342 Loss_D_real: 0.000635 Loss_D_fake 0.018736
[1464/5000][365/535][151106] Loss_D: -0.019723 Loss_G: -0.004648 Loss_D_real: -0.006083 Loss_D_fake 0.013641
[1464/5000][370/535][151107] Loss_D: -0.020426 Loss_G: 0.011581 Loss_D_real: -0.011501 Loss_D_fake 0.008925
[1464/5000][375/535][151108] Loss_D: -0.020955 Loss_G: 0.006907 Loss_D_real: -0.013785 Loss_D_fake 0.007170
[1464/5000][380/535][151109] Loss_D: -0.021008 Loss_G: 0.017905 Loss_D_real: -0.018727 Loss_D_fake 0.002281
[1464/5000][385/535][151110] Loss_D: -0.019995 Loss_G: 0.007941 Loss_D_real: -0.024481 Loss_D_fake -0.004486
[1464/5000][390/535][151111] Loss_D: -0.021076 Loss_G: 0.021846 Loss_D_real: -0.030826 Loss_D_fake -0.009750
[1464/5000][395/535][151112] Loss_D: -0.020111 Loss_G: 0.012371 Loss_D_real: -0.019455 Loss_D_fake 0.000656
[1464/5000][400/535][151113] Loss_D: -0.020567 Loss_G: 0.003519 Loss_D_real: -0.032301 Loss_D_fake -0.011734
[1464/5000][405/535][151114] Loss_D: -0.020886 Loss_G: 0.004125 Loss_D_real: -0.008543 Loss_D_fake 0.012343
[1464/5000][410/535][151115] Loss_D: -0.019840 Loss_G: 0.014171 Loss_D_real: -0.016017 Loss_D_fake 0.003823
[1464/5000][415/535][151116] Loss_D: -0.019972 Loss_G: 0.017167 Loss_D_real: -0.010265 Loss_D_fake 0.009707
[1464/5000][420/535][151117] Loss_D: -0.020588 Loss_G: 0.007156 Loss_D_real: -0.015087 Loss_D_fake 0.005500
[1464/5000][425/535][151118] Loss_D: -0.021273 Loss_G: 0.010106 Loss_D_real: -0.013897 Loss_D_fake 0.007375
[1464/5000][430/535][151119] Loss_D: -0.020610 Loss_G: 0.024959 Loss_D_real: -0.018285 Loss_D_fake 0.002326
[1464/5000][435/535][151120] Loss_D: -0.018842 Loss_G: 0.013856 Loss_D_real: -0.018467 Loss_D_fake 0.000376
[1464/5000][440/535][151121] Loss_D: -0.019923 Loss_G: 0.011030 Loss_D_real: -0.010091 Loss_D_fake 0.009832
[1464/5000][445/535][151122] Loss_D: -0.019235 Loss_G: 0.024883 Loss_D_real: -0.012891 Loss_D_fake 0.006345
[1464/5000][450/535][151123] Loss_D: -0.018770 Loss_G: 0.021464 Loss_D_real: -0.029092 Loss_D_fake -0.010322
[1464/5000][455/535][151124] Loss_D: -0.019852 Loss_G: 0.000149 Loss_D_real: -0.002278 Loss_D_fake 0.017574
[1464/5000][460/535][151125] Loss_D: -0.020171 Loss_G: 0.014452 Loss_D_real: -0.019229 Loss_D_fake 0.000942
[1464/5000][465/535][151126] Loss_D: -0.019195 Loss_G: 0.005087 Loss_D_real: -0.007749 Loss_D_fake 0.011446
[1464/5000][470/535][151127] Loss_D: -0.019933 Loss_G: -0.001741 Loss_D_real: -0.009924 Loss_D_fake 0.010009
[1464/5000][475/535][151128] Loss_D: -0.018766 Loss_G: 0.013286 Loss_D_real: -0.013163 Loss_D_fake 0.005603
[1464/5000][480/535][151129] Loss_D: -0.019072 Loss_G: 0.020205 Loss_D_real: -0.022072 Loss_D_fake -0.003000
[1464/5000][485/535][151130] Loss_D: -0.020366 Loss_G: -0.002985 Loss_D_real: -0.018578 Loss_D_fake 0.001788
[1464/5000][490/535][151131] Loss_D: -0.018374 Loss_G: 0.012866 Loss_D_real: -0.031546 Loss_D_fake -0.013173
[1464/5000][495/535][151132] Loss_D: -0.017884 Loss_G: 0.000475 Loss_D_real: 0.001177 Loss_D_fake 0.019061
[1464/5000][500/535][151133] Loss_D: -0.019186 Loss_G: 0.004193 Loss_D_real: -0.022416 Loss_D_fake -0.003231
[1464/5000][505/535][151134] Loss_D: -0.018936 Loss_G: -0.027043 Loss_D_real: 0.003928 Loss_D_fake 0.022864
[1464/5000][510/535][151135] Loss_D: -0.018652 Loss_G: 0.008980 Loss_D_real: -0.024438 Loss_D_fake -0.005786
[1464/5000][515/535][151136] Loss_D: -0.018789 Loss_G: -0.010598 Loss_D_real: -0.005069 Loss_D_fake 0.013721
[1464/5000][520/535][151137] Loss_D: -0.019502 Loss_G: -0.010056 Loss_D_real: -0.006418 Loss_D_fake 0.013084
[1464/5000][525/535][151138] Loss_D: -0.019355 Loss_G: 0.017084 Loss_D_real: -0.020962 Loss_D_fake -0.001606
[1464/5000][530/535][151139] Loss_D: -0.020791 Loss_G: 0.013298 Loss_D_real: -0.011127 Loss_D_fake 0.009664
[1464/5000][535/535][151140] Loss_D: -0.017519 Loss_G: 0.003510 Loss_D_real: -0.022916 Loss_D_fake -0.005397
[1465/5000][5/535][151141] Loss_D: -0.020935 Loss_G: 0.000108 Loss_D_real: -0.013278 Loss_D_fake 0.007657
[1465/5000][10/535][151142] Loss_D: -0.019848 Loss_G: -0.005914 Loss_D_real: -0.011551 Loss_D_fake 0.008297
[1465/5000][15/535][151143] Loss_D: -0.020760 Loss_G: -0.010501 Loss_D_real: -0.013992 Loss_D_fake 0.006768
[1465/5000][20/535][151144] Loss_D: -0.020543 Loss_G: 0.021099 Loss_D_real: -0.016652 Loss_D_fake 0.003891
[1465/5000][25/535][151145] Loss_D: -0.020004 Loss_G: 0.007819 Loss_D_real: -0.012250 Loss_D_fake 0.007754
[1465/5000][30/535][151146] Loss_D: -0.019118 Loss_G: 0.039044 Loss_D_real: -0.034144 Loss_D_fake -0.015027
[1465/5000][35/535][151147] Loss_D: -0.020464 Loss_G: 0.011436 Loss_D_real: -0.024240 Loss_D_fake -0.003775
[1465/5000][40/535][151148] Loss_D: -0.020182 Loss_G: 0.014067 Loss_D_real: -0.017883 Loss_D_fake 0.002299
[1465/5000][45/535][151149] Loss_D: -0.018403 Loss_G: -0.013649 Loss_D_real: -0.010806 Loss_D_fake 0.007597
[1465/5000][50/535][151150] Loss_D: -0.020244 Loss_G: 0.006879 Loss_D_real: -0.029290 Loss_D_fake -0.009046
[1465/5000][55/535][151151] Loss_D: -0.020828 Loss_G: 0.003493 Loss_D_real: -0.027081 Loss_D_fake -0.006253
[1465/5000][60/535][151152] Loss_D: -0.019294 Loss_G: 0.012822 Loss_D_real: -0.008225 Loss_D_fake 0.011069
[1465/5000][65/535][151153] Loss_D: -0.020547 Loss_G: 0.017662 Loss_D_real: -0.011351 Loss_D_fake 0.009196
[1465/5000][70/535][151154] Loss_D: -0.020439 Loss_G: -0.006809 Loss_D_real: -0.010652 Loss_D_fake 0.009787
[1465/5000][75/535][151155] Loss_D: -0.020727 Loss_G: 0.027098 Loss_D_real: -0.011219 Loss_D_fake 0.009508
[1465/5000][80/535][151156] Loss_D: -0.021075 Loss_G: -0.002503 Loss_D_real: -0.022650 Loss_D_fake -0.001575
[1465/5000][85/535][151157] Loss_D: -0.020466 Loss_G: 0.001990 Loss_D_real: -0.014725 Loss_D_fake 0.005741
[1465/5000][90/535][151158] Loss_D: -0.021042 Loss_G: 0.025708 Loss_D_real: -0.023137 Loss_D_fake -0.002095
[1465/5000][95/535][151159] Loss_D: -0.020992 Loss_G: 0.014239 Loss_D_real: -0.024602 Loss_D_fake -0.003610
[1465/5000][100/535][151160] Loss_D: -0.020022 Loss_G: 0.023396 Loss_D_real: -0.021590 Loss_D_fake -0.001568
[1465/5000][105/535][151161] Loss_D: -0.019011 Loss_G: 0.018525 Loss_D_real: -0.027322 Loss_D_fake -0.008311
[1465/5000][110/535][151162] Loss_D: -0.020349 Loss_G: 0.008380 Loss_D_real: -0.025048 Loss_D_fake -0.004699
[1465/5000][115/535][151163] Loss_D: -0.019888 Loss_G: 0.032993 Loss_D_real: -0.030089 Loss_D_fake -0.010201
[1465/5000][120/535][151164] Loss_D: -0.019203 Loss_G: 0.018530 Loss_D_real: -0.023568 Loss_D_fake -0.004365
[1465/5000][125/535][151165] Loss_D: -0.019577 Loss_G: 0.006172 Loss_D_real: -0.015377 Loss_D_fake 0.004200
[1465/5000][130/535][151166] Loss_D: -0.019432 Loss_G: -0.004791 Loss_D_real: 0.003205 Loss_D_fake 0.022637
[1465/5000][135/535][151167] Loss_D: -0.020576 Loss_G: 0.008770 Loss_D_real: -0.007725 Loss_D_fake 0.012850
[1465/5000][140/535][151168] Loss_D: -0.018297 Loss_G: 0.034827 Loss_D_real: -0.030947 Loss_D_fake -0.012650
[1465/5000][145/535][151169] Loss_D: -0.019696 Loss_G: 0.015695 Loss_D_real: -0.017935 Loss_D_fake 0.001761
[1465/5000][150/535][151170] Loss_D: -0.020822 Loss_G: 0.010035 Loss_D_real: -0.019706 Loss_D_fake 0.001117
[1465/5000][155/535][151171] Loss_D: -0.021122 Loss_G: -0.004931 Loss_D_real: -0.014060 Loss_D_fake 0.007062
[1465/5000][160/535][151172] Loss_D: -0.019861 Loss_G: 0.005888 Loss_D_real: -0.024223 Loss_D_fake -0.004362
[1465/5000][165/535][151173] Loss_D: -0.019646 Loss_G: 0.008983 Loss_D_real: -0.012833 Loss_D_fake 0.006813
[1465/5000][170/535][151174] Loss_D: -0.019516 Loss_G: -0.010408 Loss_D_real: -0.004601 Loss_D_fake 0.014915
[1465/5000][175/535][151175] Loss_D: -0.019689 Loss_G: 0.007450 Loss_D_real: -0.017696 Loss_D_fake 0.001993
[1465/5000][180/535][151176] Loss_D: -0.018714 Loss_G: -0.022183 Loss_D_real: -0.006163 Loss_D_fake 0.012551
[1465/5000][185/535][151177] Loss_D: -0.019584 Loss_G: 0.011948 Loss_D_real: -0.021542 Loss_D_fake -0.001959
[1465/5000][190/535][151178] Loss_D: -0.020463 Loss_G: 0.001935 Loss_D_real: -0.006019 Loss_D_fake 0.014444
[1465/5000][195/535][151179] Loss_D: -0.019232 Loss_G: 0.010723 Loss_D_real: -0.006118 Loss_D_fake 0.013115
[1465/5000][200/535][151180] Loss_D: -0.020380 Loss_G: -0.005845 Loss_D_real: -0.006547 Loss_D_fake 0.013834
[1465/5000][205/535][151181] Loss_D: -0.018760 Loss_G: 0.028559 Loss_D_real: -0.033946 Loss_D_fake -0.015186
[1465/5000][210/535][151182] Loss_D: -0.018498 Loss_G: 0.007915 Loss_D_real: -0.035209 Loss_D_fake -0.016711
[1465/5000][215/535][151183] Loss_D: -0.018423 Loss_G: -0.012756 Loss_D_real: 0.010143 Loss_D_fake 0.028566
[1465/5000][220/535][151184] Loss_D: -0.017965 Loss_G: -0.003199 Loss_D_real: 0.001363 Loss_D_fake 0.019329
[1465/5000][225/535][151185] Loss_D: -0.020203 Loss_G: 0.007310 Loss_D_real: -0.032845 Loss_D_fake -0.012642
[1465/5000][230/535][151186] Loss_D: -0.019865 Loss_G: -0.008176 Loss_D_real: -0.003813 Loss_D_fake 0.016052
[1465/5000][235/535][151187] Loss_D: -0.019147 Loss_G: 0.029903 Loss_D_real: -0.015406 Loss_D_fake 0.003741
[1465/5000][240/535][151188] Loss_D: -0.019632 Loss_G: 0.000797 Loss_D_real: -0.011179 Loss_D_fake 0.008454
[1465/5000][245/535][151189] Loss_D: -0.020908 Loss_G: 0.011542 Loss_D_real: -0.018916 Loss_D_fake 0.001992
[1465/5000][250/535][151190] Loss_D: -0.020090 Loss_G: 0.021945 Loss_D_real: 0.000412 Loss_D_fake 0.020502
[1465/5000][255/535][151191] Loss_D: -0.020049 Loss_G: -0.004027 Loss_D_real: 0.004951 Loss_D_fake 0.025000
[1465/5000][260/535][151192] Loss_D: -0.019939 Loss_G: 0.009106 Loss_D_real: -0.018605 Loss_D_fake 0.001334
[1465/5000][265/535][151193] Loss_D: -0.019765 Loss_G: -0.001929 Loss_D_real: -0.002894 Loss_D_fake 0.016871
[1465/5000][270/535][151194] Loss_D: -0.019592 Loss_G: -0.012921 Loss_D_real: -0.014590 Loss_D_fake 0.005002
[1465/5000][275/535][151195] Loss_D: -0.019615 Loss_G: 0.006643 Loss_D_real: -0.009777 Loss_D_fake 0.009837
[1465/5000][280/535][151196] Loss_D: -0.018878 Loss_G: 0.015102 Loss_D_real: -0.017118 Loss_D_fake 0.001759
[1465/5000][285/535][151197] Loss_D: -0.019944 Loss_G: 0.022139 Loss_D_real: -0.025121 Loss_D_fake -0.005177
[1465/5000][290/535][151198] Loss_D: -0.020651 Loss_G: 0.022328 Loss_D_real: -0.019992 Loss_D_fake 0.000659
[1465/5000][295/535][151199] Loss_D: -0.020343 Loss_G: 0.015853 Loss_D_real: -0.024619 Loss_D_fake -0.004276
[1465/5000][300/535][151200] Loss_D: -0.020174 Loss_G: -0.011855 Loss_D_real: -0.000884 Loss_D_fake 0.019290
[1465/5000][305/535][151201] Loss_D: -0.018976 Loss_G: 0.008789 Loss_D_real: -0.034204 Loss_D_fake -0.015228
[1465/5000][310/535][151202] Loss_D: -0.020487 Loss_G: 0.004764 Loss_D_real: -0.018434 Loss_D_fake 0.002053
[1465/5000][315/535][151203] Loss_D: -0.019841 Loss_G: 0.012635 Loss_D_real: -0.020747 Loss_D_fake -0.000906
[1465/5000][320/535][151204] Loss_D: -0.018981 Loss_G: -0.003114 Loss_D_real: -0.015281 Loss_D_fake 0.003700
[1465/5000][325/535][151205] Loss_D: -0.019594 Loss_G: 0.020025 Loss_D_real: -0.024190 Loss_D_fake -0.004595
[1465/5000][330/535][151206] Loss_D: -0.020185 Loss_G: -0.002841 Loss_D_real: -0.004457 Loss_D_fake 0.015728
[1465/5000][335/535][151207] Loss_D: -0.019602 Loss_G: 0.021550 Loss_D_real: -0.025707 Loss_D_fake -0.006105
[1465/5000][340/535][151208] Loss_D: -0.019952 Loss_G: 0.004719 Loss_D_real: -0.024211 Loss_D_fake -0.004259
[1465/5000][345/535][151209] Loss_D: -0.019606 Loss_G: 0.022679 Loss_D_real: -0.037630 Loss_D_fake -0.018025
[1465/5000][350/535][151210] Loss_D: -0.019282 Loss_G: 0.017725 Loss_D_real: -0.026775 Loss_D_fake -0.007493
[1465/5000][355/535][151211] Loss_D: -0.018409 Loss_G: 0.026810 Loss_D_real: -0.020462 Loss_D_fake -0.002054
[1465/5000][360/535][151212] Loss_D: -0.018990 Loss_G: 0.000509 Loss_D_real: -0.034808 Loss_D_fake -0.015818
[1465/5000][365/535][151213] Loss_D: -0.021029 Loss_G: 0.015637 Loss_D_real: -0.018897 Loss_D_fake 0.002132
[1465/5000][370/535][151214] Loss_D: -0.020149 Loss_G: -0.006005 Loss_D_real: -0.009321 Loss_D_fake 0.010828
[1465/5000][375/535][151215] Loss_D: -0.020180 Loss_G: 0.006743 Loss_D_real: -0.020386 Loss_D_fake -0.000206
[1465/5000][380/535][151216] Loss_D: -0.020662 Loss_G: -0.012057 Loss_D_real: 0.000631 Loss_D_fake 0.021292
[1465/5000][385/535][151217] Loss_D: -0.019628 Loss_G: 0.012429 Loss_D_real: -0.022303 Loss_D_fake -0.002675
[1465/5000][390/535][151218] Loss_D: -0.021073 Loss_G: 0.014294 Loss_D_real: -0.012794 Loss_D_fake 0.008279
[1465/5000][395/535][151219] Loss_D: -0.020587 Loss_G: -0.011983 Loss_D_real: 0.000557 Loss_D_fake 0.021144
[1465/5000][400/535][151220] Loss_D: -0.020848 Loss_G: 0.016171 Loss_D_real: -0.021851 Loss_D_fake -0.001003
[1465/5000][405/535][151221] Loss_D: -0.021595 Loss_G: -0.005924 Loss_D_real: -0.013091 Loss_D_fake 0.008504
[1465/5000][410/535][151222] Loss_D: -0.018786 Loss_G: 0.032619 Loss_D_real: -0.030442 Loss_D_fake -0.011656
[1465/5000][415/535][151223] Loss_D: -0.020653 Loss_G: 0.007325 Loss_D_real: -0.013043 Loss_D_fake 0.007610
[1465/5000][420/535][151224] Loss_D: -0.019244 Loss_G: 0.004562 Loss_D_real: -0.010512 Loss_D_fake 0.008732
[1465/5000][425/535][151225] Loss_D: -0.020083 Loss_G: 0.012525 Loss_D_real: -0.022208 Loss_D_fake -0.002124
[1465/5000][430/535][151226] Loss_D: -0.020557 Loss_G: 0.008534 Loss_D_real: -0.016878 Loss_D_fake 0.003679
[1465/5000][435/535][151227] Loss_D: -0.020192 Loss_G: -0.011297 Loss_D_real: -0.009784 Loss_D_fake 0.010408
[1465/5000][440/535][151228] Loss_D: -0.017285 Loss_G: -0.009468 Loss_D_real: 0.005798 Loss_D_fake 0.023083
[1465/5000][445/535][151229] Loss_D: -0.019352 Loss_G: 0.015191 Loss_D_real: -0.017128 Loss_D_fake 0.002223
[1465/5000][450/535][151230] Loss_D: -0.019178 Loss_G: 0.012098 Loss_D_real: -0.018101 Loss_D_fake 0.001076
[1465/5000][455/535][151231] Loss_D: -0.020354 Loss_G: 0.023841 Loss_D_real: -0.015996 Loss_D_fake 0.004358
[1465/5000][460/535][151232] Loss_D: -0.020471 Loss_G: 0.002873 Loss_D_real: -0.019466 Loss_D_fake 0.001005
[1465/5000][465/535][151233] Loss_D: -0.018220 Loss_G: 0.031019 Loss_D_real: -0.036419 Loss_D_fake -0.018200
[1465/5000][470/535][151234] Loss_D: -0.021251 Loss_G: 0.008136 Loss_D_real: -0.018817 Loss_D_fake 0.002433
[1465/5000][475/535][151235] Loss_D: -0.019791 Loss_G: -0.006113 Loss_D_real: -0.010935 Loss_D_fake 0.008856
[1465/5000][480/535][151236] Loss_D: -0.018354 Loss_G: 0.002891 Loss_D_real: -0.024751 Loss_D_fake -0.006397
[1465/5000][485/535][151237] Loss_D: -0.021109 Loss_G: 0.003127 Loss_D_real: -0.013045 Loss_D_fake 0.008065
[1465/5000][490/535][151238] Loss_D: -0.017739 Loss_G: -0.006222 Loss_D_real: -0.011936 Loss_D_fake 0.005803
[1465/5000][495/535][151239] Loss_D: -0.019308 Loss_G: -0.006125 Loss_D_real: -0.015985 Loss_D_fake 0.003324
[1465/5000][500/535][151240] Loss_D: -0.020202 Loss_G: 0.011031 Loss_D_real: -0.009006 Loss_D_fake 0.011196
[1465/5000][505/535][151241] Loss_D: -0.019163 Loss_G: 0.012860 Loss_D_real: -0.017708 Loss_D_fake 0.001455
[1465/5000][510/535][151242] Loss_D: -0.020406 Loss_G: 0.006410 Loss_D_real: -0.015797 Loss_D_fake 0.004609
[1465/5000][515/535][151243] Loss_D: -0.019437 Loss_G: -0.007705 Loss_D_real: -0.016633 Loss_D_fake 0.002803
[1465/5000][520/535][151244] Loss_D: -0.019285 Loss_G: 0.001980 Loss_D_real: -0.004047 Loss_D_fake 0.015238
[1465/5000][525/535][151245] Loss_D: -0.018197 Loss_G: -0.012279 Loss_D_real: -0.012495 Loss_D_fake 0.005702
[1465/5000][530/535][151246] Loss_D: -0.018616 Loss_G: 0.019231 Loss_D_real: -0.024177 Loss_D_fake -0.005561
[1465/5000][535/535][151247] Loss_D: -0.019913 Loss_G: -0.017539 Loss_D_real: -0.007372 Loss_D_fake 0.012541
[1466/5000][5/535][151248] Loss_D: -0.019303 Loss_G: -0.005495 Loss_D_real: -0.001402 Loss_D_fake 0.017901
[1466/5000][10/535][151249] Loss_D: -0.018246 Loss_G: 0.015709 Loss_D_real: -0.032225 Loss_D_fake -0.013979
[1466/5000][15/535][151250] Loss_D: -0.018904 Loss_G: 0.014143 Loss_D_real: -0.012606 Loss_D_fake 0.006299
[1466/5000][20/535][151251] Loss_D: -0.019264 Loss_G: 0.017606 Loss_D_real: -0.033583 Loss_D_fake -0.014319
[1466/5000][25/535][151252] Loss_D: -0.020245 Loss_G: 0.022930 Loss_D_real: -0.022249 Loss_D_fake -0.002004
[1466/5000][30/535][151253] Loss_D: -0.020803 Loss_G: 0.000507 Loss_D_real: -0.001150 Loss_D_fake 0.019653
[1466/5000][35/535][151254] Loss_D: -0.020138 Loss_G: 0.001696 Loss_D_real: -0.001644 Loss_D_fake 0.018494
[1466/5000][40/535][151255] Loss_D: -0.020917 Loss_G: 0.007346 Loss_D_real: -0.005028 Loss_D_fake 0.015889
[1466/5000][45/535][151256] Loss_D: -0.020541 Loss_G: 0.001806 Loss_D_real: -0.015740 Loss_D_fake 0.004800
[1466/5000][50/535][151257] Loss_D: -0.020986 Loss_G: 0.015715 Loss_D_real: -0.011660 Loss_D_fake 0.009326
[1466/5000][55/535][151258] Loss_D: -0.019867 Loss_G: -0.001653 Loss_D_real: -0.002535 Loss_D_fake 0.017332
[1466/5000][60/535][151259] Loss_D: -0.019970 Loss_G: 0.014480 Loss_D_real: -0.030815 Loss_D_fake -0.010844
[1466/5000][65/535][151260] Loss_D: -0.019956 Loss_G: 0.008853 Loss_D_real: 0.000747 Loss_D_fake 0.020703
[1466/5000][70/535][151261] Loss_D: -0.020334 Loss_G: -0.000124 Loss_D_real: -0.022953 Loss_D_fake -0.002619
[1466/5000][75/535][151262] Loss_D: -0.020968 Loss_G: -0.004359 Loss_D_real: -0.001647 Loss_D_fake 0.019321
[1466/5000][80/535][151263] Loss_D: -0.018865 Loss_G: 0.021512 Loss_D_real: -0.015163 Loss_D_fake 0.003701
[1466/5000][85/535][151264] Loss_D: -0.019855 Loss_G: 0.005417 Loss_D_real: 0.001052 Loss_D_fake 0.020907
[1466/5000][90/535][151265] Loss_D: -0.019952 Loss_G: 0.000551 Loss_D_real: -0.005723 Loss_D_fake 0.014229
[1466/5000][95/535][151266] Loss_D: -0.021628 Loss_G: 0.026683 Loss_D_real: -0.026204 Loss_D_fake -0.004576
[1466/5000][100/535][151267] Loss_D: -0.019947 Loss_G: 0.014950 Loss_D_real: -0.012557 Loss_D_fake 0.007390
[1466/5000][105/535][151268] Loss_D: -0.019443 Loss_G: 0.019449 Loss_D_real: -0.020454 Loss_D_fake -0.001011
[1466/5000][110/535][151269] Loss_D: -0.018813 Loss_G: 0.000205 Loss_D_real: -0.014478 Loss_D_fake 0.004335
[1466/5000][115/535][151270] Loss_D: -0.020986 Loss_G: -0.011366 Loss_D_real: -0.011304 Loss_D_fake 0.009682
[1466/5000][120/535][151271] Loss_D: -0.019284 Loss_G: 0.007451 Loss_D_real: -0.005891 Loss_D_fake 0.013394
[1466/5000][125/535][151272] Loss_D: -0.020336 Loss_G: 0.026671 Loss_D_real: -0.030861 Loss_D_fake -0.010525
[1466/5000][130/535][151273] Loss_D: -0.020584 Loss_G: 0.012573 Loss_D_real: -0.015822 Loss_D_fake 0.004762
[1466/5000][135/535][151274] Loss_D: -0.017399 Loss_G: 0.021802 Loss_D_real: -0.032263 Loss_D_fake -0.014864
[1466/5000][140/535][151275] Loss_D: -0.019885 Loss_G: -0.001200 Loss_D_real: -0.006402 Loss_D_fake 0.013484
[1466/5000][145/535][151276] Loss_D: -0.019800 Loss_G: 0.003198 Loss_D_real: -0.005900 Loss_D_fake 0.013900
[1466/5000][150/535][151277] Loss_D: -0.018272 Loss_G: -0.007129 Loss_D_real: -0.007478 Loss_D_fake 0.010794
[1466/5000][155/535][151278] Loss_D: -0.017268 Loss_G: -0.022081 Loss_D_real: -0.003104 Loss_D_fake 0.014164
[1466/5000][160/535][151279] Loss_D: -0.019077 Loss_G: 0.005177 Loss_D_real: -0.018798 Loss_D_fake 0.000280
[1466/5000][165/535][151280] Loss_D: -0.018121 Loss_G: 0.013116 Loss_D_real: -0.015577 Loss_D_fake 0.002543
[1466/5000][170/535][151281] Loss_D: -0.020953 Loss_G: 0.012834 Loss_D_real: -0.009137 Loss_D_fake 0.011816
[1466/5000][175/535][151282] Loss_D: -0.020235 Loss_G: 0.000532 Loss_D_real: -0.011708 Loss_D_fake 0.008527
[1466/5000][180/535][151283] Loss_D: -0.019809 Loss_G: 0.012705 Loss_D_real: -0.034095 Loss_D_fake -0.014287
[1466/5000][185/535][151284] Loss_D: -0.020046 Loss_G: 0.024424 Loss_D_real: -0.025999 Loss_D_fake -0.005953
[1466/5000][190/535][151285] Loss_D: -0.018763 Loss_G: -0.008684 Loss_D_real: 0.002406 Loss_D_fake 0.021169
[1466/5000][195/535][151286] Loss_D: -0.018309 Loss_G: 0.016044 Loss_D_real: -0.017943 Loss_D_fake 0.000366
[1466/5000][200/535][151287] Loss_D: -0.018872 Loss_G: -0.004848 Loss_D_real: -0.003161 Loss_D_fake 0.015711
[1466/5000][205/535][151288] Loss_D: -0.021193 Loss_G: -0.002132 Loss_D_real: 0.001176 Loss_D_fake 0.022368
[1466/5000][210/535][151289] Loss_D: -0.020588 Loss_G: 0.005159 Loss_D_real: -0.007220 Loss_D_fake 0.013368
[1466/5000][215/535][151290] Loss_D: -0.021755 Loss_G: 0.004136 Loss_D_real: -0.007034 Loss_D_fake 0.014722
[1466/5000][220/535][151291] Loss_D: -0.023022 Loss_G: 0.003964 Loss_D_real: -0.008429 Loss_D_fake 0.014593
[1466/5000][225/535][151292] Loss_D: -0.020437 Loss_G: 0.024224 Loss_D_real: -0.030335 Loss_D_fake -0.009898
[1466/5000][230/535][151293] Loss_D: -0.020340 Loss_G: 0.011740 Loss_D_real: -0.022222 Loss_D_fake -0.001882
[1466/5000][235/535][151294] Loss_D: -0.020567 Loss_G: 0.007778 Loss_D_real: -0.024513 Loss_D_fake -0.003946
[1466/5000][240/535][151295] Loss_D: -0.021321 Loss_G: 0.010688 Loss_D_real: -0.014860 Loss_D_fake 0.006461
[1466/5000][245/535][151296] Loss_D: -0.017446 Loss_G: 0.025064 Loss_D_real: -0.029686 Loss_D_fake -0.012240
[1466/5000][250/535][151297] Loss_D: -0.020686 Loss_G: 0.001346 Loss_D_real: -0.023017 Loss_D_fake -0.002331
[1466/5000][255/535][151298] Loss_D: -0.019077 Loss_G: -0.010410 Loss_D_real: -0.017849 Loss_D_fake 0.001228
[1466/5000][260/535][151299] Loss_D: -0.019747 Loss_G: 0.024412 Loss_D_real: -0.021777 Loss_D_fake -0.002030
[1466/5000][265/535][151300] Loss_D: -0.020308 Loss_G: 0.010545 Loss_D_real: -0.016988 Loss_D_fake 0.003321
[1466/5000][270/535][151301] Loss_D: -0.020706 Loss_G: 0.004501 Loss_D_real: -0.011711 Loss_D_fake 0.008995
[1466/5000][275/535][151302] Loss_D: -0.021755 Loss_G: 0.017472 Loss_D_real: -0.018074 Loss_D_fake 0.003681
[1466/5000][280/535][151303] Loss_D: -0.018678 Loss_G: -0.012798 Loss_D_real: 0.002424 Loss_D_fake 0.021101
[1466/5000][285/535][151304] Loss_D: -0.018421 Loss_G: 0.018568 Loss_D_real: -0.036106 Loss_D_fake -0.017685
[1466/5000][290/535][151305] Loss_D: -0.018878 Loss_G: 0.017717 Loss_D_real: -0.033665 Loss_D_fake -0.014787
[1466/5000][295/535][151306] Loss_D: -0.017817 Loss_G: 0.027344 Loss_D_real: -0.032488 Loss_D_fake -0.014670
[1466/5000][300/535][151307] Loss_D: -0.019626 Loss_G: -0.006894 Loss_D_real: -0.013232 Loss_D_fake 0.006394
[1466/5000][305/535][151308] Loss_D: -0.019795 Loss_G: 0.009737 Loss_D_real: -0.007393 Loss_D_fake 0.012402
[1466/5000][310/535][151309] Loss_D: -0.020170 Loss_G: 0.009201 Loss_D_real: -0.024965 Loss_D_fake -0.004795
[1466/5000][315/535][151310] Loss_D: -0.019744 Loss_G: 0.011301 Loss_D_real: -0.022827 Loss_D_fake -0.003083
[1466/5000][320/535][151311] Loss_D: -0.019992 Loss_G: 0.014304 Loss_D_real: -0.015489 Loss_D_fake 0.004504
[1466/5000][325/535][151312] Loss_D: -0.020455 Loss_G: 0.012646 Loss_D_real: -0.026233 Loss_D_fake -0.005778
[1466/5000][330/535][151313] Loss_D: -0.020490 Loss_G: 0.022901 Loss_D_real: -0.021696 Loss_D_fake -0.001206
[1466/5000][335/535][151314] Loss_D: -0.020870 Loss_G: -0.001103 Loss_D_real: -0.006412 Loss_D_fake 0.014458
[1466/5000][340/535][151315] Loss_D: -0.020216 Loss_G: 0.003391 Loss_D_real: -0.010729 Loss_D_fake 0.009488
[1466/5000][345/535][151316] Loss_D: -0.021197 Loss_G: -0.000532 Loss_D_real: -0.009219 Loss_D_fake 0.011978
[1466/5000][350/535][151317] Loss_D: -0.019766 Loss_G: -0.000681 Loss_D_real: -0.004076 Loss_D_fake 0.015689
[1466/5000][355/535][151318] Loss_D: -0.019761 Loss_G: 0.008682 Loss_D_real: -0.023969 Loss_D_fake -0.004208
[1466/5000][360/535][151319] Loss_D: -0.019903 Loss_G: 0.022920 Loss_D_real: -0.023406 Loss_D_fake -0.003504
[1466/5000][365/535][151320] Loss_D: -0.021265 Loss_G: 0.008968 Loss_D_real: -0.013790 Loss_D_fake 0.007475
[1466/5000][370/535][151321] Loss_D: -0.020875 Loss_G: 0.005791 Loss_D_real: -0.000676 Loss_D_fake 0.020199
[1466/5000][375/535][151322] Loss_D: -0.020098 Loss_G: 0.019563 Loss_D_real: -0.016303 Loss_D_fake 0.003794
[1466/5000][380/535][151323] Loss_D: -0.020150 Loss_G: 0.014558 Loss_D_real: -0.022186 Loss_D_fake -0.002036
[1466/5000][385/535][151324] Loss_D: -0.019027 Loss_G: 0.014577 Loss_D_real: -0.038996 Loss_D_fake -0.019969
[1466/5000][390/535][151325] Loss_D: -0.020318 Loss_G: -0.005186 Loss_D_real: -0.006414 Loss_D_fake 0.013904
[1466/5000][395/535][151326] Loss_D: -0.020957 Loss_G: 0.004825 Loss_D_real: 0.001033 Loss_D_fake 0.021991
[1466/5000][400/535][151327] Loss_D: -0.020500 Loss_G: 0.008943 Loss_D_real: -0.019267 Loss_D_fake 0.001233
[1466/5000][405/535][151328] Loss_D: -0.020271 Loss_G: -0.002793 Loss_D_real: -0.004115 Loss_D_fake 0.016156
[1466/5000][410/535][151329] Loss_D: -0.020238 Loss_G: 0.014485 Loss_D_real: -0.008833 Loss_D_fake 0.011405
[1466/5000][415/535][151330] Loss_D: -0.019993 Loss_G: 0.017839 Loss_D_real: -0.030084 Loss_D_fake -0.010091
[1466/5000][420/535][151331] Loss_D: -0.019634 Loss_G: -0.019071 Loss_D_real: -0.001571 Loss_D_fake 0.018063
[1466/5000][425/535][151332] Loss_D: -0.020122 Loss_G: -0.001594 Loss_D_real: -0.017195 Loss_D_fake 0.002927
[1466/5000][430/535][151333] Loss_D: -0.019405 Loss_G: 0.005709 Loss_D_real: -0.021518 Loss_D_fake -0.002113
[1466/5000][435/535][151334] Loss_D: -0.020657 Loss_G: 0.028419 Loss_D_real: -0.019479 Loss_D_fake 0.001177
[1466/5000][440/535][151335] Loss_D: -0.019727 Loss_G: 0.001010 Loss_D_real: -0.030750 Loss_D_fake -0.011023
[1466/5000][445/535][151336] Loss_D: -0.019742 Loss_G: 0.023836 Loss_D_real: -0.030397 Loss_D_fake -0.010655
[1466/5000][450/535][151337] Loss_D: -0.018912 Loss_G: -0.004500 Loss_D_real: -0.008820 Loss_D_fake 0.010092
[1466/5000][455/535][151338] Loss_D: -0.019025 Loss_G: 0.015113 Loss_D_real: -0.019709 Loss_D_fake -0.000684
[1466/5000][460/535][151339] Loss_D: -0.019920 Loss_G: -0.006333 Loss_D_real: -0.012520 Loss_D_fake 0.007401
[1466/5000][465/535][151340] Loss_D: -0.019437 Loss_G: 0.014461 Loss_D_real: -0.021479 Loss_D_fake -0.002042
[1466/5000][470/535][151341] Loss_D: -0.020046 Loss_G: 0.014647 Loss_D_real: -0.019217 Loss_D_fake 0.000829
[1466/5000][475/535][151342] Loss_D: -0.021474 Loss_G: 0.021279 Loss_D_real: -0.025450 Loss_D_fake -0.003975
[1466/5000][480/535][151343] Loss_D: -0.019997 Loss_G: 0.001023 Loss_D_real: -0.016147 Loss_D_fake 0.003850
[1466/5000][485/535][151344] Loss_D: -0.020071 Loss_G: 0.005501 Loss_D_real: -0.005109 Loss_D_fake 0.014962
[1466/5000][490/535][151345] Loss_D: -0.019210 Loss_G: 0.022413 Loss_D_real: -0.023667 Loss_D_fake -0.004457
[1466/5000][495/535][151346] Loss_D: -0.020194 Loss_G: -0.002410 Loss_D_real: -0.011670 Loss_D_fake 0.008524
[1466/5000][500/535][151347] Loss_D: -0.019161 Loss_G: -0.009708 Loss_D_real: 0.008322 Loss_D_fake 0.027483
[1466/5000][505/535][151348] Loss_D: -0.019910 Loss_G: 0.017534 Loss_D_real: -0.012589 Loss_D_fake 0.007322
[1466/5000][510/535][151349] Loss_D: -0.019099 Loss_G: 0.014131 Loss_D_real: -0.006551 Loss_D_fake 0.012549
[1466/5000][515/535][151350] Loss_D: -0.021084 Loss_G: -0.001319 Loss_D_real: -0.020044 Loss_D_fake 0.001040
[1466/5000][520/535][151351] Loss_D: -0.020256 Loss_G: 0.005433 Loss_D_real: -0.016266 Loss_D_fake 0.003990
[1466/5000][525/535][151352] Loss_D: -0.019258 Loss_G: 0.023562 Loss_D_real: -0.025908 Loss_D_fake -0.006650
[1466/5000][530/535][151353] Loss_D: -0.020859 Loss_G: 0.003648 Loss_D_real: -0.025796 Loss_D_fake -0.004937
[1466/5000][535/535][151354] Loss_D: -0.021246 Loss_G: 0.030284 Loss_D_real: -0.009797 Loss_D_fake 0.011449
[1467/5000][5/535][151355] Loss_D: -0.019082 Loss_G: -0.005128 Loss_D_real: -0.012247 Loss_D_fake 0.006836
[1467/5000][10/535][151356] Loss_D: -0.019509 Loss_G: 0.006448 Loss_D_real: -0.025389 Loss_D_fake -0.005880
[1467/5000][15/535][151357] Loss_D: -0.020619 Loss_G: 0.019169 Loss_D_real: -0.022200 Loss_D_fake -0.001581
[1467/5000][20/535][151358] Loss_D: -0.019746 Loss_G: -0.003092 Loss_D_real: -0.010007 Loss_D_fake 0.009738
[1467/5000][25/535][151359] Loss_D: -0.019958 Loss_G: 0.016071 Loss_D_real: -0.021588 Loss_D_fake -0.001631
[1467/5000][30/535][151360] Loss_D: -0.020044 Loss_G: -0.001803 Loss_D_real: -0.001405 Loss_D_fake 0.018639
[1467/5000][35/535][151361] Loss_D: -0.019379 Loss_G: 0.016481 Loss_D_real: -0.023464 Loss_D_fake -0.004085
[1467/5000][40/535][151362] Loss_D: -0.019299 Loss_G: 0.019776 Loss_D_real: -0.027965 Loss_D_fake -0.008667
[1467/5000][45/535][151363] Loss_D: -0.018966 Loss_G: 0.019599 Loss_D_real: -0.019709 Loss_D_fake -0.000743
[1467/5000][50/535][151364] Loss_D: -0.019842 Loss_G: 0.017444 Loss_D_real: -0.009793 Loss_D_fake 0.010049
[1467/5000][55/535][151365] Loss_D: -0.020223 Loss_G: -0.007792 Loss_D_real: 0.000180 Loss_D_fake 0.020404
[1467/5000][60/535][151366] Loss_D: -0.020177 Loss_G: 0.025464 Loss_D_real: -0.023996 Loss_D_fake -0.003819
[1467/5000][65/535][151367] Loss_D: -0.019568 Loss_G: 0.003892 Loss_D_real: -0.012257 Loss_D_fake 0.007311
[1467/5000][70/535][151368] Loss_D: -0.020069 Loss_G: -0.010173 Loss_D_real: -0.005473 Loss_D_fake 0.014596
[1467/5000][75/535][151369] Loss_D: -0.021878 Loss_G: 0.012330 Loss_D_real: -0.009981 Loss_D_fake 0.011897
[1467/5000][80/535][151370] Loss_D: -0.021133 Loss_G: -0.001763 Loss_D_real: -0.020887 Loss_D_fake 0.000246
[1467/5000][85/535][151371] Loss_D: -0.021106 Loss_G: 0.018293 Loss_D_real: -0.022365 Loss_D_fake -0.001259
[1467/5000][90/535][151372] Loss_D: -0.020141 Loss_G: -0.003882 Loss_D_real: -0.008911 Loss_D_fake 0.011230
[1467/5000][95/535][151373] Loss_D: -0.019307 Loss_G: 0.000335 Loss_D_real: -0.003794 Loss_D_fake 0.015513
[1467/5000][100/535][151374] Loss_D: -0.019753 Loss_G: 0.012428 Loss_D_real: -0.021025 Loss_D_fake -0.001272
[1467/5000][105/535][151375] Loss_D: -0.019314 Loss_G: 0.008845 Loss_D_real: -0.011177 Loss_D_fake 0.008137
[1467/5000][110/535][151376] Loss_D: -0.019081 Loss_G: -0.000013 Loss_D_real: -0.006204 Loss_D_fake 0.012877
[1467/5000][115/535][151377] Loss_D: -0.020648 Loss_G: 0.014156 Loss_D_real: -0.020671 Loss_D_fake -0.000023
[1467/5000][120/535][151378] Loss_D: -0.019038 Loss_G: 0.001915 Loss_D_real: -0.012239 Loss_D_fake 0.006798
[1467/5000][125/535][151379] Loss_D: -0.020178 Loss_G: 0.023723 Loss_D_real: -0.023183 Loss_D_fake -0.003005
[1467/5000][130/535][151380] Loss_D: -0.019353 Loss_G: -0.001684 Loss_D_real: -0.002058 Loss_D_fake 0.017295
[1467/5000][135/535][151381] Loss_D: -0.019473 Loss_G: -0.012762 Loss_D_real: 0.001586 Loss_D_fake 0.021059
[1467/5000][140/535][151382] Loss_D: -0.019147 Loss_G: 0.004186 Loss_D_real: -0.010419 Loss_D_fake 0.008729
[1467/5000][145/535][151383] Loss_D: -0.019980 Loss_G: -0.003104 Loss_D_real: -0.012905 Loss_D_fake 0.007075
[1467/5000][150/535][151384] Loss_D: -0.019592 Loss_G: 0.002404 Loss_D_real: -0.008003 Loss_D_fake 0.011589
[1467/5000][155/535][151385] Loss_D: -0.020252 Loss_G: 0.022332 Loss_D_real: -0.027920 Loss_D_fake -0.007668
[1467/5000][160/535][151386] Loss_D: -0.018262 Loss_G: 0.028946 Loss_D_real: -0.028937 Loss_D_fake -0.010675
[1467/5000][165/535][151387] Loss_D: -0.019326 Loss_G: 0.024761 Loss_D_real: -0.011199 Loss_D_fake 0.008127
[1467/5000][170/535][151388] Loss_D: -0.018825 Loss_G: 0.024040 Loss_D_real: -0.033391 Loss_D_fake -0.014566
[1467/5000][175/535][151389] Loss_D: -0.020177 Loss_G: -0.007502 Loss_D_real: -0.009139 Loss_D_fake 0.011038
[1467/5000][180/535][151390] Loss_D: -0.020005 Loss_G: 0.008942 Loss_D_real: -0.026534 Loss_D_fake -0.006529
[1467/5000][185/535][151391] Loss_D: -0.020204 Loss_G: -0.005352 Loss_D_real: -0.009993 Loss_D_fake 0.010211
[1467/5000][190/535][151392] Loss_D: -0.020275 Loss_G: -0.006548 Loss_D_real: -0.005313 Loss_D_fake 0.014962
[1467/5000][195/535][151393] Loss_D: -0.020241 Loss_G: 0.015450 Loss_D_real: -0.021008 Loss_D_fake -0.000767
[1467/5000][200/535][151394] Loss_D: -0.020977 Loss_G: 0.003452 Loss_D_real: -0.001101 Loss_D_fake 0.019876
[1467/5000][205/535][151395] Loss_D: -0.020046 Loss_G: 0.008659 Loss_D_real: -0.009548 Loss_D_fake 0.010498
[1467/5000][210/535][151396] Loss_D: -0.021527 Loss_G: -0.000900 Loss_D_real: -0.015417 Loss_D_fake 0.006111
[1467/5000][215/535][151397] Loss_D: -0.019279 Loss_G: 0.011767 Loss_D_real: -0.022560 Loss_D_fake -0.003280
[1467/5000][220/535][151398] Loss_D: -0.020131 Loss_G: 0.011251 Loss_D_real: -0.032750 Loss_D_fake -0.012619
[1467/5000][225/535][151399] Loss_D: -0.020176 Loss_G: -0.001631 Loss_D_real: -0.020071 Loss_D_fake 0.000105
[1467/5000][230/535][151400] Loss_D: -0.020798 Loss_G: 0.022798 Loss_D_real: -0.018078 Loss_D_fake 0.002720
[1467/5000][235/535][151401] Loss_D: -0.020431 Loss_G: 0.014109 Loss_D_real: -0.007949 Loss_D_fake 0.012481
[1467/5000][240/535][151402] Loss_D: -0.021736 Loss_G: 0.011177 Loss_D_real: -0.025249 Loss_D_fake -0.003513
[1467/5000][245/535][151403] Loss_D: -0.020127 Loss_G: -0.007704 Loss_D_real: -0.004506 Loss_D_fake 0.015621
[1467/5000][250/535][151404] Loss_D: -0.018960 Loss_G: -0.000535 Loss_D_real: -0.023288 Loss_D_fake -0.004327
[1467/5000][255/535][151405] Loss_D: -0.020075 Loss_G: 0.015974 Loss_D_real: -0.015400 Loss_D_fake 0.004675
[1467/5000][260/535][151406] Loss_D: -0.019972 Loss_G: 0.002608 Loss_D_real: -0.009823 Loss_D_fake 0.010149
[1467/5000][265/535][151407] Loss_D: -0.019550 Loss_G: 0.003271 Loss_D_real: -0.017997 Loss_D_fake 0.001553
[1467/5000][270/535][151408] Loss_D: -0.019543 Loss_G: 0.024043 Loss_D_real: -0.031325 Loss_D_fake -0.011781
[1467/5000][275/535][151409] Loss_D: -0.019201 Loss_G: 0.025201 Loss_D_real: -0.030471 Loss_D_fake -0.011270
[1467/5000][280/535][151410] Loss_D: -0.019050 Loss_G: -0.014700 Loss_D_real: -0.009291 Loss_D_fake 0.009759
[1467/5000][285/535][151411] Loss_D: -0.019572 Loss_G: -0.002557 Loss_D_real: -0.007702 Loss_D_fake 0.011870
[1467/5000][290/535][151412] Loss_D: -0.020252 Loss_G: -0.007417 Loss_D_real: -0.014767 Loss_D_fake 0.005485
[1467/5000][295/535][151413] Loss_D: -0.018470 Loss_G: 0.005478 Loss_D_real: -0.026507 Loss_D_fake -0.008037
[1467/5000][300/535][151414] Loss_D: -0.021059 Loss_G: 0.001293 Loss_D_real: -0.011491 Loss_D_fake 0.009569
[1467/5000][305/535][151415] Loss_D: -0.019140 Loss_G: 0.014924 Loss_D_real: -0.013553 Loss_D_fake 0.005586
[1467/5000][310/535][151416] Loss_D: -0.019017 Loss_G: -0.000625 Loss_D_real: -0.003912 Loss_D_fake 0.015105
[1467/5000][315/535][151417] Loss_D: -0.019931 Loss_G: 0.017790 Loss_D_real: -0.019847 Loss_D_fake 0.000084
[1467/5000][320/535][151418] Loss_D: -0.019600 Loss_G: 0.002239 Loss_D_real: -0.010637 Loss_D_fake 0.008963
[1467/5000][325/535][151419] Loss_D: -0.019946 Loss_G: -0.012985 Loss_D_real: -0.004821 Loss_D_fake 0.015125
[1467/5000][330/535][151420] Loss_D: -0.018564 Loss_G: 0.028884 Loss_D_real: -0.027858 Loss_D_fake -0.009294
[1467/5000][335/535][151421] Loss_D: -0.019205 Loss_G: 0.026606 Loss_D_real: -0.017532 Loss_D_fake 0.001673
[1467/5000][340/535][151422] Loss_D: -0.018692 Loss_G: 0.032641 Loss_D_real: -0.019583 Loss_D_fake -0.000891
[1467/5000][345/535][151423] Loss_D: -0.021006 Loss_G: 0.008662 Loss_D_real: -0.019049 Loss_D_fake 0.001957
[1467/5000][350/535][151424] Loss_D: -0.019187 Loss_G: 0.025793 Loss_D_real: -0.036680 Loss_D_fake -0.017493
[1467/5000][355/535][151425] Loss_D: -0.018885 Loss_G: 0.006119 Loss_D_real: -0.003543 Loss_D_fake 0.015341
[1467/5000][360/535][151426] Loss_D: -0.018860 Loss_G: 0.025486 Loss_D_real: -0.031979 Loss_D_fake -0.013119
[1467/5000][365/535][151427] Loss_D: -0.018684 Loss_G: 0.014819 Loss_D_real: -0.032593 Loss_D_fake -0.013909
[1467/5000][370/535][151428] Loss_D: -0.021179 Loss_G: 0.002306 Loss_D_real: -0.000421 Loss_D_fake 0.020758
[1467/5000][375/535][151429] Loss_D: -0.021455 Loss_G: 0.001909 Loss_D_real: -0.025100 Loss_D_fake -0.003645
[1467/5000][380/535][151430] Loss_D: -0.020150 Loss_G: 0.032352 Loss_D_real: -0.027636 Loss_D_fake -0.007486
[1467/5000][385/535][151431] Loss_D: -0.020043 Loss_G: -0.009932 Loss_D_real: -0.006346 Loss_D_fake 0.013697
[1467/5000][390/535][151432] Loss_D: -0.019442 Loss_G: 0.023872 Loss_D_real: -0.025222 Loss_D_fake -0.005780
[1467/5000][395/535][151433] Loss_D: -0.019780 Loss_G: 0.004063 Loss_D_real: -0.008632 Loss_D_fake 0.011148
[1467/5000][400/535][151434] Loss_D: -0.020248 Loss_G: 0.025347 Loss_D_real: -0.032961 Loss_D_fake -0.012712
[1467/5000][405/535][151435] Loss_D: -0.020452 Loss_G: 0.004460 Loss_D_real: -0.019067 Loss_D_fake 0.001385
[1467/5000][410/535][151436] Loss_D: -0.017815 Loss_G: -0.009966 Loss_D_real: -0.001712 Loss_D_fake 0.016102
[1467/5000][415/535][151437] Loss_D: -0.018826 Loss_G: 0.017343 Loss_D_real: -0.019265 Loss_D_fake -0.000439
[1467/5000][420/535][151438] Loss_D: -0.018784 Loss_G: 0.006042 Loss_D_real: -0.025040 Loss_D_fake -0.006256
[1467/5000][425/535][151439] Loss_D: -0.019882 Loss_G: 0.004107 Loss_D_real: -0.009478 Loss_D_fake 0.010404
[1467/5000][430/535][151440] Loss_D: -0.019276 Loss_G: 0.019434 Loss_D_real: -0.021788 Loss_D_fake -0.002512
[1467/5000][435/535][151441] Loss_D: -0.020184 Loss_G: 0.007175 Loss_D_real: -0.017892 Loss_D_fake 0.002292
[1467/5000][440/535][151442] Loss_D: -0.019147 Loss_G: 0.024091 Loss_D_real: -0.029695 Loss_D_fake -0.010548
[1467/5000][445/535][151443] Loss_D: -0.020535 Loss_G: -0.001180 Loss_D_real: -0.006146 Loss_D_fake 0.014389
[1467/5000][450/535][151444] Loss_D: -0.018633 Loss_G: 0.033623 Loss_D_real: -0.032745 Loss_D_fake -0.014111
[1467/5000][455/535][151445] Loss_D: -0.020071 Loss_G: 0.001828 Loss_D_real: -0.004273 Loss_D_fake 0.015798
[1467/5000][460/535][151446] Loss_D: -0.019919 Loss_G: 0.027361 Loss_D_real: -0.023160 Loss_D_fake -0.003242
[1467/5000][465/535][151447] Loss_D: -0.020796 Loss_G: 0.010548 Loss_D_real: -0.023541 Loss_D_fake -0.002744
[1467/5000][470/535][151448] Loss_D: -0.021439 Loss_G: -0.006033 Loss_D_real: -0.007421 Loss_D_fake 0.014018
[1467/5000][475/535][151449] Loss_D: -0.020580 Loss_G: 0.023641 Loss_D_real: -0.027120 Loss_D_fake -0.006540
[1467/5000][480/535][151450] Loss_D: -0.019920 Loss_G: 0.019170 Loss_D_real: -0.013946 Loss_D_fake 0.005974
[1467/5000][485/535][151451] Loss_D: -0.020506 Loss_G: 0.020213 Loss_D_real: -0.026801 Loss_D_fake -0.006295
[1467/5000][490/535][151452] Loss_D: -0.019627 Loss_G: 0.003805 Loss_D_real: -0.006029 Loss_D_fake 0.013598
[1467/5000][495/535][151453] Loss_D: -0.021726 Loss_G: -0.011130 Loss_D_real: -0.018673 Loss_D_fake 0.003052
[1467/5000][500/535][151454] Loss_D: -0.020705 Loss_G: 0.015478 Loss_D_real: -0.020019 Loss_D_fake 0.000685
[1467/5000][505/535][151455] Loss_D: -0.018908 Loss_G: 0.025112 Loss_D_real: -0.033840 Loss_D_fake -0.014931
[1467/5000][510/535][151456] Loss_D: -0.020590 Loss_G: 0.011913 Loss_D_real: -0.019872 Loss_D_fake 0.000718
[1467/5000][515/535][151457] Loss_D: -0.019664 Loss_G: 0.020064 Loss_D_real: -0.021046 Loss_D_fake -0.001383
[1467/5000][520/535][151458] Loss_D: -0.020939 Loss_G: -0.006686 Loss_D_real: -0.019840 Loss_D_fake 0.001099
[1467/5000][525/535][151459] Loss_D: -0.020261 Loss_G: 0.028208 Loss_D_real: -0.027794 Loss_D_fake -0.007533
[1467/5000][530/535][151460] Loss_D: -0.020037 Loss_G: 0.014911 Loss_D_real: -0.014617 Loss_D_fake 0.005420
[1467/5000][535/535][151461] Loss_D: -0.020150 Loss_G: -0.016951 Loss_D_real: 0.002438 Loss_D_fake 0.022588
[1468/5000][5/535][151462] Loss_D: -0.018760 Loss_G: 0.019399 Loss_D_real: -0.017905 Loss_D_fake 0.000855
[1468/5000][10/535][151463] Loss_D: -0.018750 Loss_G: 0.005756 Loss_D_real: -0.009520 Loss_D_fake 0.009230
[1468/5000][15/535][151464] Loss_D: -0.019674 Loss_G: 0.014665 Loss_D_real: -0.024316 Loss_D_fake -0.004642
[1468/5000][20/535][151465] Loss_D: -0.020563 Loss_G: 0.007977 Loss_D_real: -0.025558 Loss_D_fake -0.004996
[1468/5000][25/535][151466] Loss_D: -0.019735 Loss_G: 0.002758 Loss_D_real: -0.026499 Loss_D_fake -0.006764
[1468/5000][30/535][151467] Loss_D: -0.020745 Loss_G: -0.003911 Loss_D_real: -0.003469 Loss_D_fake 0.017276
[1468/5000][35/535][151468] Loss_D: -0.020307 Loss_G: 0.017286 Loss_D_real: -0.021244 Loss_D_fake -0.000938
[1468/5000][40/535][151469] Loss_D: -0.020722 Loss_G: -0.005912 Loss_D_real: -0.005955 Loss_D_fake 0.014767
[1468/5000][45/535][151470] Loss_D: -0.019318 Loss_G: 0.008004 Loss_D_real: -0.016875 Loss_D_fake 0.002443
[1468/5000][50/535][151471] Loss_D: -0.020720 Loss_G: 0.015280 Loss_D_real: -0.023741 Loss_D_fake -0.003022
[1468/5000][55/535][151472] Loss_D: -0.019713 Loss_G: 0.006811 Loss_D_real: -0.001902 Loss_D_fake 0.017811
[1468/5000][60/535][151473] Loss_D: -0.019941 Loss_G: -0.000201 Loss_D_real: -0.017497 Loss_D_fake 0.002444
[1468/5000][65/535][151474] Loss_D: -0.020978 Loss_G: -0.005371 Loss_D_real: -0.014072 Loss_D_fake 0.006906
[1468/5000][70/535][151475] Loss_D: -0.020393 Loss_G: -0.004507 Loss_D_real: -0.008324 Loss_D_fake 0.012069
[1468/5000][75/535][151476] Loss_D: -0.018788 Loss_G: -0.002299 Loss_D_real: -0.005120 Loss_D_fake 0.013667
[1468/5000][80/535][151477] Loss_D: -0.020081 Loss_G: 0.016774 Loss_D_real: -0.017094 Loss_D_fake 0.002987
[1468/5000][85/535][151478] Loss_D: -0.019187 Loss_G: -0.013211 Loss_D_real: 0.005702 Loss_D_fake 0.024889
[1468/5000][90/535][151479] Loss_D: -0.020285 Loss_G: 0.020045 Loss_D_real: -0.023364 Loss_D_fake -0.003079
[1468/5000][95/535][151480] Loss_D: -0.019046 Loss_G: 0.020690 Loss_D_real: -0.016584 Loss_D_fake 0.002462
[1468/5000][100/535][151481] Loss_D: -0.019964 Loss_G: 0.005578 Loss_D_real: -0.015786 Loss_D_fake 0.004178
[1468/5000][105/535][151482] Loss_D: -0.020858 Loss_G: -0.004420 Loss_D_real: -0.013270 Loss_D_fake 0.007588
[1468/5000][110/535][151483] Loss_D: -0.020052 Loss_G: 0.004032 Loss_D_real: -0.012090 Loss_D_fake 0.007962
[1468/5000][115/535][151484] Loss_D: -0.021258 Loss_G: 0.026596 Loss_D_real: -0.027835 Loss_D_fake -0.006577
[1468/5000][120/535][151485] Loss_D: -0.019754 Loss_G: 0.005193 Loss_D_real: -0.021224 Loss_D_fake -0.001470
[1468/5000][125/535][151486] Loss_D: -0.021256 Loss_G: -0.012287 Loss_D_real: -0.010035 Loss_D_fake 0.011222
[1468/5000][130/535][151487] Loss_D: -0.019993 Loss_G: 0.000113 Loss_D_real: -0.006126 Loss_D_fake 0.013868
[1468/5000][135/535][151488] Loss_D: -0.020112 Loss_G: 0.012606 Loss_D_real: -0.012856 Loss_D_fake 0.007256
[1468/5000][140/535][151489] Loss_D: -0.020985 Loss_G: -0.000247 Loss_D_real: -0.019364 Loss_D_fake 0.001622
[1468/5000][145/535][151490] Loss_D: -0.020301 Loss_G: 0.013109 Loss_D_real: -0.013607 Loss_D_fake 0.006694
[1468/5000][150/535][151491] Loss_D: -0.020939 Loss_G: 0.011633 Loss_D_real: -0.027862 Loss_D_fake -0.006923
[1468/5000][155/535][151492] Loss_D: -0.017888 Loss_G: 0.016924 Loss_D_real: -0.039235 Loss_D_fake -0.021347
[1468/5000][160/535][151493] Loss_D: -0.016421 Loss_G: -0.020560 Loss_D_real: 0.013220 Loss_D_fake 0.029642
[1468/5000][165/535][151494] Loss_D: -0.019818 Loss_G: 0.016828 Loss_D_real: -0.019846 Loss_D_fake -0.000027
[1468/5000][170/535][151495] Loss_D: -0.019839 Loss_G: 0.005537 Loss_D_real: -0.013692 Loss_D_fake 0.006147
[1468/5000][175/535][151496] Loss_D: -0.020197 Loss_G: 0.001666 Loss_D_real: -0.017140 Loss_D_fake 0.003056
[1468/5000][180/535][151497] Loss_D: -0.020439 Loss_G: 0.005667 Loss_D_real: -0.011960 Loss_D_fake 0.008479
[1468/5000][185/535][151498] Loss_D: -0.020120 Loss_G: 0.000758 Loss_D_real: -0.008931 Loss_D_fake 0.011189
[1468/5000][190/535][151499] Loss_D: -0.021016 Loss_G: 0.018240 Loss_D_real: -0.010486 Loss_D_fake 0.010531
[1468/5000][195/535][151500] Loss_D: -0.021056 Loss_G: 0.007427 Loss_D_real: -0.021279 Loss_D_fake -0.000223
[1468/5000][295/535][151501] Loss_D: -0.022475 Loss_G: 0.026892 Loss_D_real: -0.032495 Loss_D_fake -0.010020
[1468/5000][300/535][151502] Loss_D: -0.016322 Loss_G: -0.000536 Loss_D_real: -0.005629 Loss_D_fake 0.010693
[1468/5000][305/535][151503] Loss_D: -0.021075 Loss_G: 0.017637 Loss_D_real: -0.016148 Loss_D_fake 0.004926
[1468/5000][310/535][151504] Loss_D: -0.020030 Loss_G: 0.016209 Loss_D_real: -0.024572 Loss_D_fake -0.004542
[1468/5000][315/535][151505] Loss_D: -0.018272 Loss_G: 0.010900 Loss_D_real: -0.022156 Loss_D_fake -0.003884
[1468/5000][320/535][151506] Loss_D: -0.018910 Loss_G: 0.007576 Loss_D_real: -0.029622 Loss_D_fake -0.010712
[1468/5000][325/535][151507] Loss_D: -0.019735 Loss_G: 0.012501 Loss_D_real: -0.011206 Loss_D_fake 0.008529
[1468/5000][330/535][151508] Loss_D: -0.019250 Loss_G: 0.010443 Loss_D_real: -0.023378 Loss_D_fake -0.004127
[1468/5000][335/535][151509] Loss_D: -0.018188 Loss_G: -0.005854 Loss_D_real: 0.001106 Loss_D_fake 0.019294
[1468/5000][340/535][151510] Loss_D: -0.018702 Loss_G: 0.002683 Loss_D_real: -0.020000 Loss_D_fake -0.001298
[1468/5000][345/535][151511] Loss_D: -0.020405 Loss_G: 0.019326 Loss_D_real: -0.025835 Loss_D_fake -0.005430
[1468/5000][350/535][151512] Loss_D: -0.019215 Loss_G: 0.006035 Loss_D_real: -0.022762 Loss_D_fake -0.003547
[1468/5000][355/535][151513] Loss_D: -0.018579 Loss_G: 0.019880 Loss_D_real: -0.027300 Loss_D_fake -0.008721
[1468/5000][360/535][151514] Loss_D: -0.020106 Loss_G: -0.002600 Loss_D_real: 0.002161 Loss_D_fake 0.022267
[1468/5000][365/535][151515] Loss_D: -0.018108 Loss_G: 0.018489 Loss_D_real: -0.031049 Loss_D_fake -0.012942
[1468/5000][370/535][151516] Loss_D: -0.019419 Loss_G: 0.002765 Loss_D_real: 0.004515 Loss_D_fake 0.023934
[1468/5000][375/535][151517] Loss_D: -0.019833 Loss_G: 0.012724 Loss_D_real: -0.021721 Loss_D_fake -0.001888
[1468/5000][380/535][151518] Loss_D: -0.021427 Loss_G: 0.010062 Loss_D_real: -0.012345 Loss_D_fake 0.009082
[1468/5000][385/535][151519] Loss_D: -0.019760 Loss_G: 0.015037 Loss_D_real: -0.021298 Loss_D_fake -0.001537
[1468/5000][390/535][151520] Loss_D: -0.020599 Loss_G: 0.013150 Loss_D_real: -0.027658 Loss_D_fake -0.007059
[1468/5000][395/535][151521] Loss_D: -0.020360 Loss_G: -0.004322 Loss_D_real: -0.023046 Loss_D_fake -0.002686
[1468/5000][400/535][151522] Loss_D: -0.020361 Loss_G: -0.003275 Loss_D_real: -0.017578 Loss_D_fake 0.002783
[1468/5000][405/535][151523] Loss_D: -0.019353 Loss_G: -0.000322 Loss_D_real: -0.007418 Loss_D_fake 0.011935
[1468/5000][410/535][151524] Loss_D: -0.018973 Loss_G: 0.017058 Loss_D_real: -0.027356 Loss_D_fake -0.008383
[1468/5000][415/535][151525] Loss_D: -0.019707 Loss_G: 0.002318 Loss_D_real: -0.000757 Loss_D_fake 0.018950
[1468/5000][420/535][151526] Loss_D: -0.019163 Loss_G: 0.008114 Loss_D_real: -0.025778 Loss_D_fake -0.006615
[1468/5000][425/535][151527] Loss_D: -0.019361 Loss_G: 0.015666 Loss_D_real: -0.032085 Loss_D_fake -0.012724
[1468/5000][430/535][151528] Loss_D: -0.023319 Loss_G: 0.005505 Loss_D_real: -0.012129 Loss_D_fake 0.011190
[1468/5000][435/535][151529] Loss_D: -0.022344 Loss_G: 0.004063 Loss_D_real: -0.032513 Loss_D_fake -0.010169
[1468/5000][440/535][151530] Loss_D: -0.020522 Loss_G: 0.026677 Loss_D_real: -0.027760 Loss_D_fake -0.007239
[1468/5000][445/535][151531] Loss_D: -0.020540 Loss_G: 0.017630 Loss_D_real: -0.030540 Loss_D_fake -0.010001
[1468/5000][450/535][151532] Loss_D: -0.020463 Loss_G: 0.003941 Loss_D_real: -0.017148 Loss_D_fake 0.003315
[1468/5000][455/535][151533] Loss_D: -0.020500 Loss_G: 0.004830 Loss_D_real: -0.020068 Loss_D_fake 0.000432
[1468/5000][460/535][151534] Loss_D: -0.019902 Loss_G: 0.011019 Loss_D_real: -0.027463 Loss_D_fake -0.007562
[1468/5000][465/535][151535] Loss_D: -0.020793 Loss_G: -0.009732 Loss_D_real: -0.010591 Loss_D_fake 0.010202
[1468/5000][470/535][151536] Loss_D: -0.019786 Loss_G: -0.013171 Loss_D_real: -0.000819 Loss_D_fake 0.018967
[1468/5000][475/535][151537] Loss_D: -0.019878 Loss_G: 0.001667 Loss_D_real: -0.012111 Loss_D_fake 0.007766
[1468/5000][480/535][151538] Loss_D: -0.017995 Loss_G: 0.028722 Loss_D_real: -0.036605 Loss_D_fake -0.018609
[1468/5000][485/535][151539] Loss_D: -0.018658 Loss_G: 0.001327 Loss_D_real: -0.008923 Loss_D_fake 0.009735
[1468/5000][490/535][151540] Loss_D: -0.019892 Loss_G: 0.017476 Loss_D_real: -0.018806 Loss_D_fake 0.001085
[1468/5000][495/535][151541] Loss_D: -0.019896 Loss_G: 0.016866 Loss_D_real: -0.017099 Loss_D_fake 0.002796
[1468/5000][500/535][151542] Loss_D: -0.019354 Loss_G: 0.023700 Loss_D_real: -0.021013 Loss_D_fake -0.001659
[1468/5000][505/535][151543] Loss_D: -0.017920 Loss_G: -0.017529 Loss_D_real: 0.002110 Loss_D_fake 0.020030
[1468/5000][510/535][151544] Loss_D: -0.019275 Loss_G: 0.021643 Loss_D_real: -0.027557 Loss_D_fake -0.008281
[1468/5000][515/535][151545] Loss_D: -0.018843 Loss_G: 0.010055 Loss_D_real: -0.036631 Loss_D_fake -0.017788
[1468/5000][520/535][151546] Loss_D: -0.021335 Loss_G: 0.011478 Loss_D_real: -0.024151 Loss_D_fake -0.002816
[1468/5000][525/535][151547] Loss_D: -0.018915 Loss_G: 0.010159 Loss_D_real: -0.014166 Loss_D_fake 0.004749
[1468/5000][530/535][151548] Loss_D: -0.018159 Loss_G: -0.001268 Loss_D_real: -0.031731 Loss_D_fake -0.013571
[1468/5000][535/535][151549] Loss_D: -0.018665 Loss_G: 0.019947 Loss_D_real: -0.024977 Loss_D_fake -0.006311
[1469/5000][5/535][151550] Loss_D: -0.021770 Loss_G: 0.003456 Loss_D_real: -0.018159 Loss_D_fake 0.003611
[1469/5000][10/535][151551] Loss_D: -0.019747 Loss_G: 0.000998 Loss_D_real: 0.001038 Loss_D_fake 0.020785
[1469/5000][15/535][151552] Loss_D: -0.018644 Loss_G: -0.015150 Loss_D_real: -0.000602 Loss_D_fake 0.018042
[1469/5000][20/535][151553] Loss_D: -0.018511 Loss_G: 0.013739 Loss_D_real: -0.021122 Loss_D_fake -0.002611
[1469/5000][25/535][151554] Loss_D: -0.019576 Loss_G: -0.000935 Loss_D_real: -0.021064 Loss_D_fake -0.001488
[1469/5000][30/535][151555] Loss_D: -0.019146 Loss_G: 0.012444 Loss_D_real: -0.015746 Loss_D_fake 0.003400
[1469/5000][35/535][151556] Loss_D: -0.019432 Loss_G: 0.002810 Loss_D_real: -0.013038 Loss_D_fake 0.006394
[1469/5000][40/535][151557] Loss_D: -0.018684 Loss_G: -0.009223 Loss_D_real: -0.003905 Loss_D_fake 0.014779
[1469/5000][45/535][151558] Loss_D: -0.018373 Loss_G: 0.018230 Loss_D_real: -0.015615 Loss_D_fake 0.002758
[1469/5000][50/535][151559] Loss_D: -0.020968 Loss_G: 0.015305 Loss_D_real: -0.011581 Loss_D_fake 0.009387
[1469/5000][55/535][151560] Loss_D: -0.021147 Loss_G: 0.009110 Loss_D_real: -0.022157 Loss_D_fake -0.001011
[1469/5000][60/535][151561] Loss_D: -0.019939 Loss_G: -0.005081 Loss_D_real: -0.001209 Loss_D_fake 0.018730
[1469/5000][65/535][151562] Loss_D: -0.020642 Loss_G: 0.009220 Loss_D_real: -0.018668 Loss_D_fake 0.001973
[1469/5000][70/535][151563] Loss_D: -0.020714 Loss_G: 0.006446 Loss_D_real: -0.011131 Loss_D_fake 0.009583
[1469/5000][75/535][151564] Loss_D: -0.019992 Loss_G: -0.005863 Loss_D_real: -0.005392 Loss_D_fake 0.014600
[1469/5000][80/535][151565] Loss_D: -0.020512 Loss_G: 0.029898 Loss_D_real: -0.035095 Loss_D_fake -0.014584
[1469/5000][85/535][151566] Loss_D: -0.019315 Loss_G: 0.020191 Loss_D_real: -0.024434 Loss_D_fake -0.005119
[1469/5000][90/535][151567] Loss_D: -0.018933 Loss_G: 0.022409 Loss_D_real: -0.021469 Loss_D_fake -0.002535
[1469/5000][95/535][151568] Loss_D: -0.019325 Loss_G: 0.001098 Loss_D_real: -0.030969 Loss_D_fake -0.011644
[1469/5000][100/535][151569] Loss_D: -0.019194 Loss_G: 0.006872 Loss_D_real: -0.026496 Loss_D_fake -0.007302
[1469/5000][105/535][151570] Loss_D: -0.019747 Loss_G: 0.025194 Loss_D_real: -0.030922 Loss_D_fake -0.011175
[1469/5000][110/535][151571] Loss_D: -0.020418 Loss_G: 0.008195 Loss_D_real: -0.011258 Loss_D_fake 0.009161
[1469/5000][115/535][151572] Loss_D: -0.019660 Loss_G: -0.010482 Loss_D_real: -0.011187 Loss_D_fake 0.008474
[1469/5000][120/535][151573] Loss_D: -0.019262 Loss_G: 0.004691 Loss_D_real: -0.008363 Loss_D_fake 0.010899
[1469/5000][125/535][151574] Loss_D: -0.020444 Loss_G: 0.020072 Loss_D_real: -0.015279 Loss_D_fake 0.005165
[1469/5000][130/535][151575] Loss_D: -0.019334 Loss_G: 0.003326 Loss_D_real: -0.019107 Loss_D_fake 0.000227
[1469/5000][135/535][151576] Loss_D: -0.020385 Loss_G: 0.007067 Loss_D_real: -0.021632 Loss_D_fake -0.001247
[1469/5000][140/535][151577] Loss_D: -0.019646 Loss_G: 0.010357 Loss_D_real: -0.012662 Loss_D_fake 0.006984
[1469/5000][145/535][151578] Loss_D: -0.020190 Loss_G: -0.002079 Loss_D_real: 0.001499 Loss_D_fake 0.021689
[1469/5000][150/535][151579] Loss_D: -0.020135 Loss_G: 0.007404 Loss_D_real: -0.017310 Loss_D_fake 0.002825
[1469/5000][155/535][151580] Loss_D: -0.019253 Loss_G: 0.004060 Loss_D_real: -0.026002 Loss_D_fake -0.006749
[1469/5000][160/535][151581] Loss_D: -0.019593 Loss_G: 0.003872 Loss_D_real: -0.018546 Loss_D_fake 0.001048
[1469/5000][165/535][151582] Loss_D: -0.020015 Loss_G: 0.016213 Loss_D_real: -0.010107 Loss_D_fake 0.009908
[1469/5000][170/535][151583] Loss_D: -0.020785 Loss_G: 0.010371 Loss_D_real: -0.025525 Loss_D_fake -0.004740
[1469/5000][175/535][151584] Loss_D: -0.020572 Loss_G: -0.001836 Loss_D_real: -0.001435 Loss_D_fake 0.019138
[1469/5000][180/535][151585] Loss_D: -0.019529 Loss_G: -0.005570 Loss_D_real: -0.013421 Loss_D_fake 0.006108
[1469/5000][185/535][151586] Loss_D: -0.019984 Loss_G: 0.013482 Loss_D_real: -0.019826 Loss_D_fake 0.000158
[1469/5000][190/535][151587] Loss_D: -0.019545 Loss_G: 0.013922 Loss_D_real: -0.009905 Loss_D_fake 0.009640
[1469/5000][195/535][151588] Loss_D: -0.021092 Loss_G: 0.011820 Loss_D_real: -0.007234 Loss_D_fake 0.013858
[1469/5000][200/535][151589] Loss_D: -0.019812 Loss_G: 0.000422 Loss_D_real: -0.015835 Loss_D_fake 0.003977
[1469/5000][205/535][151590] Loss_D: -0.018950 Loss_G: 0.028342 Loss_D_real: -0.032207 Loss_D_fake -0.013257
[1469/5000][210/535][151591] Loss_D: -0.019223 Loss_G: 0.005811 Loss_D_real: -0.013455 Loss_D_fake 0.005768
[1469/5000][215/535][151592] Loss_D: -0.018557 Loss_G: 0.024804 Loss_D_real: -0.013951 Loss_D_fake 0.004606
[1469/5000][220/535][151593] Loss_D: -0.019215 Loss_G: -0.004820 Loss_D_real: -0.012486 Loss_D_fake 0.006729
[1469/5000][225/535][151594] Loss_D: -0.020988 Loss_G: 0.015283 Loss_D_real: -0.025939 Loss_D_fake -0.004951
[1469/5000][230/535][151595] Loss_D: -0.020475 Loss_G: 0.008745 Loss_D_real: -0.024261 Loss_D_fake -0.003786
[1469/5000][235/535][151596] Loss_D: -0.020509 Loss_G: 0.014071 Loss_D_real: -0.025721 Loss_D_fake -0.005213
[1469/5000][240/535][151597] Loss_D: -0.020641 Loss_G: 0.011363 Loss_D_real: -0.017917 Loss_D_fake 0.002724
[1469/5000][245/535][151598] Loss_D: -0.020419 Loss_G: 0.012738 Loss_D_real: -0.027771 Loss_D_fake -0.007352
[1469/5000][250/535][151599] Loss_D: -0.020072 Loss_G: 0.021238 Loss_D_real: -0.019095 Loss_D_fake 0.000977
[1469/5000][255/535][151600] Loss_D: -0.020116 Loss_G: -0.000077 Loss_D_real: -0.018008 Loss_D_fake 0.002108
[1469/5000][260/535][151601] Loss_D: -0.019590 Loss_G: -0.007201 Loss_D_real: -0.017576 Loss_D_fake 0.002014
[1469/5000][265/535][151602] Loss_D: -0.018656 Loss_G: 0.024488 Loss_D_real: -0.030048 Loss_D_fake -0.011392
[1469/5000][270/535][151603] Loss_D: -0.019077 Loss_G: -0.004741 Loss_D_real: -0.006086 Loss_D_fake 0.012991
[1469/5000][275/535][151604] Loss_D: -0.019446 Loss_G: -0.012683 Loss_D_real: -0.001724 Loss_D_fake 0.017722
[1469/5000][280/535][151605] Loss_D: -0.019666 Loss_G: 0.014086 Loss_D_real: -0.021136 Loss_D_fake -0.001470
[1469/5000][285/535][151606] Loss_D: -0.019662 Loss_G: 0.012272 Loss_D_real: -0.013136 Loss_D_fake 0.006526
[1469/5000][290/535][151607] Loss_D: -0.020670 Loss_G: 0.016600 Loss_D_real: -0.027300 Loss_D_fake -0.006629
[1469/5000][295/535][151608] Loss_D: -0.020984 Loss_G: -0.004653 Loss_D_real: -0.011921 Loss_D_fake 0.009063
[1469/5000][300/535][151609] Loss_D: -0.018363 Loss_G: 0.024065 Loss_D_real: -0.024901 Loss_D_fake -0.006538
[1469/5000][305/535][151610] Loss_D: -0.021927 Loss_G: 0.003667 Loss_D_real: -0.015462 Loss_D_fake 0.006465
[1469/5000][310/535][151611] Loss_D: -0.019782 Loss_G: 0.003989 Loss_D_real: -0.007748 Loss_D_fake 0.012033
[1469/5000][315/535][151612] Loss_D: -0.020601 Loss_G: 0.021487 Loss_D_real: -0.022713 Loss_D_fake -0.002111
[1469/5000][320/535][151613] Loss_D: -0.020397 Loss_G: 0.004328 Loss_D_real: -0.016090 Loss_D_fake 0.004308
[1469/5000][325/535][151614] Loss_D: -0.021174 Loss_G: 0.006593 Loss_D_real: -0.019032 Loss_D_fake 0.002142
[1469/5000][330/535][151615] Loss_D: -0.019849 Loss_G: 0.036010 Loss_D_real: -0.030956 Loss_D_fake -0.011107
[1469/5000][335/535][151616] Loss_D: -0.020678 Loss_G: -0.005626 Loss_D_real: -0.006243 Loss_D_fake 0.014435
[1469/5000][340/535][151617] Loss_D: -0.021152 Loss_G: 0.010307 Loss_D_real: -0.011937 Loss_D_fake 0.009215
[1469/5000][345/535][151618] Loss_D: -0.020287 Loss_G: 0.002202 Loss_D_real: -0.015099 Loss_D_fake 0.005188
[1469/5000][350/535][151619] Loss_D: -0.019087 Loss_G: 0.001717 Loss_D_real: -0.012894 Loss_D_fake 0.006193
[1469/5000][355/535][151620] Loss_D: -0.021058 Loss_G: -0.001523 Loss_D_real: -0.017991 Loss_D_fake 0.003067
[1469/5000][360/535][151621] Loss_D: -0.019643 Loss_G: 0.002182 Loss_D_real: -0.002027 Loss_D_fake 0.017616
[1469/5000][365/535][151622] Loss_D: -0.021902 Loss_G: 0.007415 Loss_D_real: -0.007248 Loss_D_fake 0.014654
[1469/5000][370/535][151623] Loss_D: -0.020525 Loss_G: -0.003757 Loss_D_real: -0.010051 Loss_D_fake 0.010474
[1469/5000][375/535][151624] Loss_D: -0.017606 Loss_G: 0.015123 Loss_D_real: -0.010124 Loss_D_fake 0.007482
[1469/5000][380/535][151625] Loss_D: -0.018301 Loss_G: 0.022281 Loss_D_real: -0.036066 Loss_D_fake -0.017766
[1469/5000][385/535][151626] Loss_D: -0.019311 Loss_G: -0.004617 Loss_D_real: -0.028494 Loss_D_fake -0.009183
[1469/5000][390/535][151627] Loss_D: -0.020232 Loss_G: 0.014549 Loss_D_real: -0.024989 Loss_D_fake -0.004757
[1469/5000][395/535][151628] Loss_D: -0.021087 Loss_G: -0.005544 Loss_D_real: -0.019766 Loss_D_fake 0.001321
[1469/5000][400/535][151629] Loss_D: -0.021050 Loss_G: -0.007159 Loss_D_real: 0.000826 Loss_D_fake 0.021876
[1469/5000][405/535][151630] Loss_D: -0.019884 Loss_G: 0.018743 Loss_D_real: -0.018970 Loss_D_fake 0.000913
[1469/5000][410/535][151631] Loss_D: -0.018403 Loss_G: 0.016607 Loss_D_real: -0.015697 Loss_D_fake 0.002707
[1469/5000][415/535][151632] Loss_D: -0.020469 Loss_G: -0.016633 Loss_D_real: -0.010577 Loss_D_fake 0.009891
[1469/5000][420/535][151633] Loss_D: -0.019825 Loss_G: 0.018662 Loss_D_real: -0.025292 Loss_D_fake -0.005467
[1469/5000][425/535][151634] Loss_D: -0.020010 Loss_G: -0.009057 Loss_D_real: 0.003914 Loss_D_fake 0.023924
[1469/5000][430/535][151635] Loss_D: -0.019350 Loss_G: 0.002482 Loss_D_real: -0.021470 Loss_D_fake -0.002120
[1469/5000][435/535][151636] Loss_D: -0.020016 Loss_G: 0.005914 Loss_D_real: -0.014788 Loss_D_fake 0.005228
[1469/5000][440/535][151637] Loss_D: -0.020694 Loss_G: 0.027888 Loss_D_real: -0.018168 Loss_D_fake 0.002525
[1469/5000][445/535][151638] Loss_D: -0.019064 Loss_G: -0.000417 Loss_D_real: -0.012992 Loss_D_fake 0.006071
[1469/5000][450/535][151639] Loss_D: -0.018364 Loss_G: 0.019935 Loss_D_real: -0.027972 Loss_D_fake -0.009608
[1469/5000][455/535][151640] Loss_D: -0.019764 Loss_G: -0.010181 Loss_D_real: -0.008789 Loss_D_fake 0.010975
[1469/5000][460/535][151641] Loss_D: -0.018013 Loss_G: 0.031153 Loss_D_real: -0.029442 Loss_D_fake -0.011429
[1469/5000][465/535][151642] Loss_D: -0.019458 Loss_G: -0.017015 Loss_D_real: -0.009724 Loss_D_fake 0.009733
[1469/5000][470/535][151643] Loss_D: -0.019889 Loss_G: 0.021725 Loss_D_real: -0.017930 Loss_D_fake 0.001958
[1469/5000][475/535][151644] Loss_D: -0.019354 Loss_G: 0.000972 Loss_D_real: -0.009082 Loss_D_fake 0.010272
[1469/5000][480/535][151645] Loss_D: -0.019747 Loss_G: 0.006621 Loss_D_real: -0.019238 Loss_D_fake 0.000509
[1469/5000][485/535][151646] Loss_D: -0.018761 Loss_G: 0.020591 Loss_D_real: -0.032611 Loss_D_fake -0.013850
[1469/5000][490/535][151647] Loss_D: -0.018725 Loss_G: -0.017532 Loss_D_real: 0.002483 Loss_D_fake 0.021208
[1469/5000][495/535][151648] Loss_D: -0.019782 Loss_G: 0.012298 Loss_D_real: -0.019351 Loss_D_fake 0.000431
[1469/5000][500/535][151649] Loss_D: -0.019467 Loss_G: 0.024764 Loss_D_real: -0.033307 Loss_D_fake -0.013840
[1469/5000][505/535][151650] Loss_D: -0.019639 Loss_G: 0.004680 Loss_D_real: -0.015725 Loss_D_fake 0.003913
[1469/5000][510/535][151651] Loss_D: -0.020519 Loss_G: -0.001034 Loss_D_real: -0.004243 Loss_D_fake 0.016275
[1469/5000][515/535][151652] Loss_D: -0.018784 Loss_G: -0.007321 Loss_D_real: -0.006720 Loss_D_fake 0.012065
[1469/5000][520/535][151653] Loss_D: -0.019237 Loss_G: 0.020203 Loss_D_real: -0.016014 Loss_D_fake 0.003224
[1469/5000][525/535][151654] Loss_D: -0.020435 Loss_G: 0.008717 Loss_D_real: -0.006868 Loss_D_fake 0.013566
[1469/5000][530/535][151655] Loss_D: -0.019350 Loss_G: -0.011770 Loss_D_real: -0.008856 Loss_D_fake 0.010494
[1469/5000][535/535][151656] Loss_D: -0.022457 Loss_G: 0.016394 Loss_D_real: -0.022797 Loss_D_fake -0.000339
[1470/5000][5/535][151657] Loss_D: -0.020159 Loss_G: 0.002941 Loss_D_real: -0.014661 Loss_D_fake 0.005498
[1470/5000][10/535][151658] Loss_D: -0.018733 Loss_G: 0.020575 Loss_D_real: -0.024611 Loss_D_fake -0.005878
[1470/5000][15/535][151659] Loss_D: -0.019855 Loss_G: 0.005237 Loss_D_real: -0.017768 Loss_D_fake 0.002087
[1470/5000][20/535][151660] Loss_D: -0.018120 Loss_G: 0.019960 Loss_D_real: -0.024003 Loss_D_fake -0.005883
[1470/5000][25/535][151661] Loss_D: -0.017913 Loss_G: -0.010621 Loss_D_real: -0.003157 Loss_D_fake 0.014756
[1470/5000][30/535][151662] Loss_D: -0.017485 Loss_G: 0.025474 Loss_D_real: -0.024328 Loss_D_fake -0.006843
[1470/5000][35/535][151663] Loss_D: -0.018054 Loss_G: -0.006354 Loss_D_real: -0.011896 Loss_D_fake 0.006158
[1470/5000][40/535][151664] Loss_D: -0.019787 Loss_G: 0.033336 Loss_D_real: -0.021974 Loss_D_fake -0.002187
[1470/5000][45/535][151665] Loss_D: -0.021233 Loss_G: -0.007191 Loss_D_real: -0.009882 Loss_D_fake 0.011350
[1470/5000][50/535][151666] Loss_D: -0.021090 Loss_G: 0.004923 Loss_D_real: -0.019974 Loss_D_fake 0.001117
[1470/5000][55/535][151667] Loss_D: -0.019923 Loss_G: 0.001708 Loss_D_real: -0.008088 Loss_D_fake 0.011835
[1470/5000][60/535][151668] Loss_D: -0.020949 Loss_G: 0.017946 Loss_D_real: -0.027631 Loss_D_fake -0.006682
[1470/5000][65/535][151669] Loss_D: -0.022700 Loss_G: 0.017675 Loss_D_real: -0.018110 Loss_D_fake 0.004589
[1470/5000][70/535][151670] Loss_D: -0.019608 Loss_G: -0.010222 Loss_D_real: 0.000809 Loss_D_fake 0.020417
[1470/5000][75/535][151671] Loss_D: -0.020069 Loss_G: 0.011816 Loss_D_real: -0.016363 Loss_D_fake 0.003705
[1470/5000][80/535][151672] Loss_D: -0.020688 Loss_G: 0.008869 Loss_D_real: -0.009316 Loss_D_fake 0.011372
[1470/5000][85/535][151673] Loss_D: -0.020575 Loss_G: -0.001594 Loss_D_real: -0.002411 Loss_D_fake 0.018165
[1470/5000][90/535][151674] Loss_D: -0.020535 Loss_G: -0.019022 Loss_D_real: -0.003197 Loss_D_fake 0.017338
[1470/5000][95/535][151675] Loss_D: -0.021343 Loss_G: 0.023929 Loss_D_real: -0.025656 Loss_D_fake -0.004313
[1470/5000][100/535][151676] Loss_D: -0.020024 Loss_G: 0.012755 Loss_D_real: -0.022446 Loss_D_fake -0.002422
[1470/5000][105/535][151677] Loss_D: -0.019675 Loss_G: 0.019762 Loss_D_real: -0.019399 Loss_D_fake 0.000276
[1470/5000][110/535][151678] Loss_D: -0.020779 Loss_G: 0.021978 Loss_D_real: -0.029806 Loss_D_fake -0.009027
[1470/5000][115/535][151679] Loss_D: -0.019886 Loss_G: 0.017459 Loss_D_real: -0.031349 Loss_D_fake -0.011463
[1470/5000][120/535][151680] Loss_D: -0.020436 Loss_G: -0.015546 Loss_D_real: -0.000217 Loss_D_fake 0.020219
[1470/5000][125/535][151681] Loss_D: -0.019312 Loss_G: 0.000447 Loss_D_real: -0.015381 Loss_D_fake 0.003931
[1470/5000][130/535][151682] Loss_D: -0.019987 Loss_G: -0.003717 Loss_D_real: -0.015675 Loss_D_fake 0.004312
[1470/5000][135/535][151683] Loss_D: -0.019875 Loss_G: 0.000599 Loss_D_real: 0.001252 Loss_D_fake 0.021128
[1470/5000][140/535][151684] Loss_D: -0.018592 Loss_G: 0.001341 Loss_D_real: -0.014615 Loss_D_fake 0.003978
[1470/5000][145/535][151685] Loss_D: -0.020176 Loss_G: 0.010855 Loss_D_real: -0.015896 Loss_D_fake 0.004280
[1470/5000][150/535][151686] Loss_D: -0.019580 Loss_G: 0.006703 Loss_D_real: 0.000402 Loss_D_fake 0.019982
[1470/5000][155/535][151687] Loss_D: -0.018493 Loss_G: 0.002773 Loss_D_real: -0.011071 Loss_D_fake 0.007422
[1470/5000][160/535][151688] Loss_D: -0.018898 Loss_G: -0.016083 Loss_D_real: -0.007350 Loss_D_fake 0.011548
[1470/5000][165/535][151689] Loss_D: -0.020393 Loss_G: -0.010351 Loss_D_real: -0.017214 Loss_D_fake 0.003180
[1470/5000][170/535][151690] Loss_D: -0.017736 Loss_G: 0.017190 Loss_D_real: -0.018339 Loss_D_fake -0.000604
[1470/5000][175/535][151691] Loss_D: -0.020010 Loss_G: 0.013140 Loss_D_real: -0.029571 Loss_D_fake -0.009561
[1470/5000][180/535][151692] Loss_D: -0.021142 Loss_G: 0.013538 Loss_D_real: -0.015910 Loss_D_fake 0.005231
[1470/5000][185/535][151693] Loss_D: -0.020412 Loss_G: 0.027906 Loss_D_real: -0.026993 Loss_D_fake -0.006581
[1470/5000][190/535][151694] Loss_D: -0.020107 Loss_G: -0.000690 Loss_D_real: -0.005669 Loss_D_fake 0.014438
[1470/5000][195/535][151695] Loss_D: -0.019590 Loss_G: 0.007120 Loss_D_real: -0.013948 Loss_D_fake 0.005641
[1470/5000][200/535][151696] Loss_D: -0.020819 Loss_G: 0.006606 Loss_D_real: -0.017918 Loss_D_fake 0.002901
[1470/5000][205/535][151697] Loss_D: -0.019678 Loss_G: 0.027883 Loss_D_real: -0.026562 Loss_D_fake -0.006885
[1470/5000][210/535][151698] Loss_D: -0.019741 Loss_G: -0.000335 Loss_D_real: -0.021694 Loss_D_fake -0.001953
[1470/5000][215/535][151699] Loss_D: -0.020362 Loss_G: 0.011506 Loss_D_real: -0.028933 Loss_D_fake -0.008571
[1470/5000][220/535][151700] Loss_D: -0.019775 Loss_G: 0.009217 Loss_D_real: -0.016529 Loss_D_fake 0.003246
[1470/5000][225/535][151701] Loss_D: -0.020334 Loss_G: 0.020737 Loss_D_real: -0.021017 Loss_D_fake -0.000682
[1470/5000][230/535][151702] Loss_D: -0.018701 Loss_G: 0.005200 Loss_D_real: -0.020877 Loss_D_fake -0.002176
[1470/5000][235/535][151703] Loss_D: -0.017896 Loss_G: 0.031340 Loss_D_real: -0.038637 Loss_D_fake -0.020741
[1470/5000][240/535][151704] Loss_D: -0.019763 Loss_G: 0.010595 Loss_D_real: -0.024975 Loss_D_fake -0.005212
[1470/5000][245/535][151705] Loss_D: -0.020484 Loss_G: -0.004058 Loss_D_real: -0.004481 Loss_D_fake 0.016003
[1470/5000][250/535][151706] Loss_D: -0.019154 Loss_G: 0.022483 Loss_D_real: -0.021717 Loss_D_fake -0.002562
[1470/5000][255/535][151707] Loss_D: -0.019625 Loss_G: 0.009696 Loss_D_real: -0.027760 Loss_D_fake -0.008136
[1470/5000][260/535][151708] Loss_D: -0.018872 Loss_G: -0.009479 Loss_D_real: -0.010505 Loss_D_fake 0.008367
[1470/5000][265/535][151709] Loss_D: -0.019961 Loss_G: 0.017050 Loss_D_real: -0.009488 Loss_D_fake 0.010473
[1470/5000][270/535][151710] Loss_D: -0.019638 Loss_G: 0.021627 Loss_D_real: -0.033474 Loss_D_fake -0.013836
[1470/5000][275/535][151711] Loss_D: -0.020156 Loss_G: 0.005545 Loss_D_real: -0.009320 Loss_D_fake 0.010836
[1470/5000][280/535][151712] Loss_D: -0.020047 Loss_G: 0.014502 Loss_D_real: -0.027300 Loss_D_fake -0.007253
[1470/5000][285/535][151713] Loss_D: -0.017385 Loss_G: 0.017649 Loss_D_real: -0.036740 Loss_D_fake -0.019355
[1470/5000][290/535][151714] Loss_D: -0.018351 Loss_G: 0.015801 Loss_D_real: -0.021091 Loss_D_fake -0.002740
[1470/5000][295/535][151715] Loss_D: -0.021164 Loss_G: 0.009981 Loss_D_real: -0.022779 Loss_D_fake -0.001614
[1470/5000][300/535][151716] Loss_D: -0.020564 Loss_G: 0.005047 Loss_D_real: -0.005980 Loss_D_fake 0.014584
[1470/5000][305/535][151717] Loss_D: -0.020059 Loss_G: -0.010963 Loss_D_real: 0.000440 Loss_D_fake 0.020499
[1470/5000][310/535][151718] Loss_D: -0.020263 Loss_G: -0.012706 Loss_D_real: -0.011191 Loss_D_fake 0.009072
[1470/5000][315/535][151719] Loss_D: -0.020136 Loss_G: 0.023690 Loss_D_real: -0.022472 Loss_D_fake -0.002336
[1470/5000][320/535][151720] Loss_D: -0.019844 Loss_G: 0.005821 Loss_D_real: -0.011574 Loss_D_fake 0.008270
[1470/5000][325/535][151721] Loss_D: -0.018231 Loss_G: -0.007691 Loss_D_real: -0.005546 Loss_D_fake 0.012685
[1470/5000][330/535][151722] Loss_D: -0.018255 Loss_G: 0.000916 Loss_D_real: -0.011353 Loss_D_fake 0.006903
[1470/5000][335/535][151723] Loss_D: -0.019807 Loss_G: -0.010423 Loss_D_real: 0.002984 Loss_D_fake 0.022791
[1470/5000][340/535][151724] Loss_D: -0.019447 Loss_G: 0.011336 Loss_D_real: -0.027348 Loss_D_fake -0.007901
[1470/5000][345/535][151725] Loss_D: -0.020253 Loss_G: 0.009100 Loss_D_real: -0.025137 Loss_D_fake -0.004883
[1470/5000][350/535][151726] Loss_D: -0.021448 Loss_G: -0.009805 Loss_D_real: -0.012462 Loss_D_fake 0.008987
[1470/5000][355/535][151727] Loss_D: -0.020481 Loss_G: 0.003397 Loss_D_real: -0.005113 Loss_D_fake 0.015368
[1470/5000][360/535][151728] Loss_D: -0.018936 Loss_G: 0.010151 Loss_D_real: -0.017464 Loss_D_fake 0.001472
[1470/5000][365/535][151729] Loss_D: -0.020119 Loss_G: 0.021211 Loss_D_real: -0.029212 Loss_D_fake -0.009093
[1470/5000][370/535][151730] Loss_D: -0.021290 Loss_G: 0.001012 Loss_D_real: -0.016960 Loss_D_fake 0.004330
[1470/5000][375/535][151731] Loss_D: -0.020485 Loss_G: -0.000105 Loss_D_real: -0.014215 Loss_D_fake 0.006270
[1470/5000][380/535][151732] Loss_D: -0.021482 Loss_G: 0.021105 Loss_D_real: -0.015365 Loss_D_fake 0.006117
[1470/5000][385/535][151733] Loss_D: -0.020944 Loss_G: 0.005238 Loss_D_real: -0.018622 Loss_D_fake 0.002323
[1470/5000][390/535][151734] Loss_D: -0.021064 Loss_G: -0.002057 Loss_D_real: -0.001803 Loss_D_fake 0.019261
[1470/5000][395/535][151735] Loss_D: -0.020574 Loss_G: -0.001481 Loss_D_real: -0.021513 Loss_D_fake -0.000940
[1470/5000][400/535][151736] Loss_D: -0.021336 Loss_G: 0.012334 Loss_D_real: -0.009853 Loss_D_fake 0.011483
[1470/5000][405/535][151737] Loss_D: -0.021363 Loss_G: 0.018773 Loss_D_real: -0.025133 Loss_D_fake -0.003770
[1470/5000][410/535][151738] Loss_D: -0.019755 Loss_G: 0.017015 Loss_D_real: -0.017497 Loss_D_fake 0.002259
[1470/5000][415/535][151739] Loss_D: -0.021854 Loss_G: -0.001455 Loss_D_real: -0.011573 Loss_D_fake 0.010281
[1470/5000][420/535][151740] Loss_D: -0.020933 Loss_G: 0.006685 Loss_D_real: -0.006844 Loss_D_fake 0.014089
[1470/5000][425/535][151741] Loss_D: -0.021463 Loss_G: 0.010579 Loss_D_real: -0.021089 Loss_D_fake 0.000374
[1470/5000][430/535][151742] Loss_D: -0.020502 Loss_G: 0.019214 Loss_D_real: -0.025617 Loss_D_fake -0.005115
[1470/5000][435/535][151743] Loss_D: -0.021141 Loss_G: 0.008912 Loss_D_real: -0.005204 Loss_D_fake 0.015937
[1470/5000][440/535][151744] Loss_D: -0.021068 Loss_G: 0.024691 Loss_D_real: -0.027361 Loss_D_fake -0.006293
[1470/5000][445/535][151745] Loss_D: -0.019725 Loss_G: 0.003342 Loss_D_real: -0.006716 Loss_D_fake 0.013009
[1470/5000][450/535][151746] Loss_D: -0.020598 Loss_G: 0.011368 Loss_D_real: -0.011853 Loss_D_fake 0.008746
[1470/5000][455/535][151747] Loss_D: -0.020581 Loss_G: 0.002325 Loss_D_real: -0.023414 Loss_D_fake -0.002834
[1470/5000][460/535][151748] Loss_D: -0.019548 Loss_G: 0.008490 Loss_D_real: -0.018966 Loss_D_fake 0.000581
[1470/5000][465/535][151749] Loss_D: -0.019790 Loss_G: 0.027535 Loss_D_real: -0.029576 Loss_D_fake -0.009785
[1470/5000][470/535][151750] Loss_D: -0.021302 Loss_G: 0.013811 Loss_D_real: -0.033955 Loss_D_fake -0.012654
[1470/5000][475/535][151751] Loss_D: -0.020261 Loss_G: 0.008612 Loss_D_real: -0.012294 Loss_D_fake 0.007966
[1470/5000][480/535][151752] Loss_D: -0.019618 Loss_G: 0.022464 Loss_D_real: -0.021956 Loss_D_fake -0.002338
[1470/5000][485/535][151753] Loss_D: -0.020360 Loss_G: -0.003291 Loss_D_real: -0.003757 Loss_D_fake 0.016604
[1470/5000][490/535][151754] Loss_D: -0.019942 Loss_G: -0.005275 Loss_D_real: -0.006868 Loss_D_fake 0.013074
[1470/5000][495/535][151755] Loss_D: -0.019462 Loss_G: -0.008165 Loss_D_real: 0.000221 Loss_D_fake 0.019683
[1470/5000][500/535][151756] Loss_D: -0.020194 Loss_G: -0.009092 Loss_D_real: -0.009160 Loss_D_fake 0.011035
[1470/5000][505/535][151757] Loss_D: -0.018918 Loss_G: 0.000018 Loss_D_real: -0.004667 Loss_D_fake 0.014251
[1470/5000][510/535][151758] Loss_D: -0.019131 Loss_G: 0.020743 Loss_D_real: -0.023207 Loss_D_fake -0.004076
[1470/5000][515/535][151759] Loss_D: -0.020027 Loss_G: 0.009203 Loss_D_real: -0.022108 Loss_D_fake -0.002081
[1470/5000][520/535][151760] Loss_D: -0.021273 Loss_G: 0.010550 Loss_D_real: -0.025891 Loss_D_fake -0.004618
[1470/5000][525/535][151761] Loss_D: -0.019322 Loss_G: 0.018523 Loss_D_real: -0.019979 Loss_D_fake -0.000657
[1470/5000][530/535][151762] Loss_D: -0.018240 Loss_G: -0.017923 Loss_D_real: -0.001375 Loss_D_fake 0.016865
[1470/5000][535/535][151763] Loss_D: -0.022754 Loss_G: 0.007189 Loss_D_real: -0.018571 Loss_D_fake 0.004183
[1471/5000][5/535][151764] Loss_D: -0.018287 Loss_G: -0.017088 Loss_D_real: -0.002914 Loss_D_fake 0.015374
[1471/5000][10/535][151765] Loss_D: -0.019848 Loss_G: -0.000073 Loss_D_real: -0.014190 Loss_D_fake 0.005658
[1471/5000][15/535][151766] Loss_D: -0.019707 Loss_G: -0.006977 Loss_D_real: -0.004475 Loss_D_fake 0.015232
[1471/5000][20/535][151767] Loss_D: -0.021000 Loss_G: 0.005763 Loss_D_real: -0.012036 Loss_D_fake 0.008964
[1471/5000][25/535][151768] Loss_D: -0.018672 Loss_G: -0.016443 Loss_D_real: -0.003789 Loss_D_fake 0.014883
[1471/5000][30/535][151769] Loss_D: -0.019174 Loss_G: 0.018147 Loss_D_real: -0.019036 Loss_D_fake 0.000137
[1471/5000][35/535][151770] Loss_D: -0.020664 Loss_G: -0.008894 Loss_D_real: -0.008466 Loss_D_fake 0.012198
[1471/5000][40/535][151771] Loss_D: -0.020270 Loss_G: -0.001095 Loss_D_real: -0.016588 Loss_D_fake 0.003682
[1471/5000][45/535][151772] Loss_D: -0.018982 Loss_G: -0.014441 Loss_D_real: -0.000992 Loss_D_fake 0.017990
[1471/5000][50/535][151773] Loss_D: -0.020180 Loss_G: 0.013146 Loss_D_real: -0.025771 Loss_D_fake -0.005591
[1471/5000][55/535][151774] Loss_D: -0.019038 Loss_G: 0.021011 Loss_D_real: -0.029598 Loss_D_fake -0.010560
[1471/5000][60/535][151775] Loss_D: -0.019510 Loss_G: 0.025236 Loss_D_real: -0.031629 Loss_D_fake -0.012120
[1471/5000][65/535][151776] Loss_D: -0.020900 Loss_G: 0.001732 Loss_D_real: -0.009408 Loss_D_fake 0.011491
[1471/5000][70/535][151777] Loss_D: -0.020184 Loss_G: 0.007626 Loss_D_real: -0.019266 Loss_D_fake 0.000918
[1471/5000][75/535][151778] Loss_D: -0.020276 Loss_G: 0.015482 Loss_D_real: -0.008041 Loss_D_fake 0.012234
[1471/5000][80/535][151779] Loss_D: -0.018520 Loss_G: 0.010337 Loss_D_real: -0.007495 Loss_D_fake 0.011024
[1471/5000][85/535][151780] Loss_D: -0.018266 Loss_G: 0.009754 Loss_D_real: -0.018199 Loss_D_fake 0.000067
[1471/5000][90/535][151781] Loss_D: -0.018808 Loss_G: -0.016597 Loss_D_real: -0.016375 Loss_D_fake 0.002433
[1471/5000][95/535][151782] Loss_D: -0.019954 Loss_G: 0.014761 Loss_D_real: -0.015341 Loss_D_fake 0.004613
[1471/5000][100/535][151783] Loss_D: -0.021204 Loss_G: -0.006670 Loss_D_real: -0.017200 Loss_D_fake 0.004003
[1471/5000][105/535][151784] Loss_D: -0.020400 Loss_G: 0.009709 Loss_D_real: -0.016118 Loss_D_fake 0.004282
[1471/5000][110/535][151785] Loss_D: -0.020131 Loss_G: -0.011654 Loss_D_real: 0.002812 Loss_D_fake 0.022943
[1471/5000][115/535][151786] Loss_D: -0.019312 Loss_G: -0.013327 Loss_D_real: -0.001579 Loss_D_fake 0.017733
[1471/5000][120/535][151787] Loss_D: -0.020563 Loss_G: 0.013427 Loss_D_real: -0.018343 Loss_D_fake 0.002220
[1471/5000][125/535][151788] Loss_D: -0.020977 Loss_G: -0.001682 Loss_D_real: -0.009905 Loss_D_fake 0.011071
[1471/5000][130/535][151789] Loss_D: -0.019416 Loss_G: -0.005207 Loss_D_real: 0.007145 Loss_D_fake 0.026561
[1471/5000][135/535][151790] Loss_D: -0.020033 Loss_G: -0.002064 Loss_D_real: -0.012279 Loss_D_fake 0.007754
[1471/5000][140/535][151791] Loss_D: -0.019963 Loss_G: 0.016646 Loss_D_real: -0.024359 Loss_D_fake -0.004395
[1471/5000][145/535][151792] Loss_D: -0.021407 Loss_G: 0.012161 Loss_D_real: -0.021710 Loss_D_fake -0.000303
[1471/5000][150/535][151793] Loss_D: -0.018302 Loss_G: -0.015296 Loss_D_real: 0.006291 Loss_D_fake 0.024593
[1471/5000][155/535][151794] Loss_D: -0.021175 Loss_G: 0.008038 Loss_D_real: -0.014841 Loss_D_fake 0.006334
[1471/5000][160/535][151795] Loss_D: -0.018955 Loss_G: 0.031555 Loss_D_real: -0.028776 Loss_D_fake -0.009821
[1471/5000][165/535][151796] Loss_D: -0.019963 Loss_G: -0.010954 Loss_D_real: -0.002732 Loss_D_fake 0.017231
[1471/5000][170/535][151797] Loss_D: -0.018853 Loss_G: 0.008834 Loss_D_real: -0.010361 Loss_D_fake 0.008492
[1471/5000][175/535][151798] Loss_D: -0.019109 Loss_G: 0.023058 Loss_D_real: -0.035315 Loss_D_fake -0.016206
[1471/5000][180/535][151799] Loss_D: -0.019356 Loss_G: -0.003793 Loss_D_real: -0.005064 Loss_D_fake 0.014292
[1471/5000][185/535][151800] Loss_D: -0.019348 Loss_G: 0.019770 Loss_D_real: -0.021632 Loss_D_fake -0.002284
[1471/5000][190/535][151801] Loss_D: -0.021284 Loss_G: 0.012642 Loss_D_real: -0.024271 Loss_D_fake -0.002987
[1471/5000][195/535][151802] Loss_D: -0.020327 Loss_G: 0.028352 Loss_D_real: -0.028640 Loss_D_fake -0.008313
[1471/5000][200/535][151803] Loss_D: -0.019926 Loss_G: 0.007174 Loss_D_real: -0.018015 Loss_D_fake 0.001911
[1471/5000][205/535][151804] Loss_D: -0.020480 Loss_G: -0.005865 Loss_D_real: -0.003259 Loss_D_fake 0.017221
[1471/5000][210/535][151805] Loss_D: -0.019075 Loss_G: 0.003543 Loss_D_real: 0.005914 Loss_D_fake 0.024989
[1471/5000][215/535][151806] Loss_D: -0.019442 Loss_G: -0.001345 Loss_D_real: 0.001465 Loss_D_fake 0.020907
[1471/5000][220/535][151807] Loss_D: -0.020070 Loss_G: 0.011556 Loss_D_real: -0.022289 Loss_D_fake -0.002219
[1471/5000][225/535][151808] Loss_D: -0.019987 Loss_G: -0.003315 Loss_D_real: -0.007946 Loss_D_fake 0.012041
[1471/5000][230/535][151809] Loss_D: -0.019185 Loss_G: -0.013929 Loss_D_real: 0.005016 Loss_D_fake 0.024202
[1471/5000][235/535][151810] Loss_D: -0.020292 Loss_G: 0.006169 Loss_D_real: -0.023680 Loss_D_fake -0.003388
[1471/5000][240/535][151811] Loss_D: -0.020498 Loss_G: 0.022503 Loss_D_real: -0.016130 Loss_D_fake 0.004369
[1471/5000][245/535][151812] Loss_D: -0.019500 Loss_G: 0.031847 Loss_D_real: -0.025588 Loss_D_fake -0.006087
[1471/5000][250/535][151813] Loss_D: -0.020301 Loss_G: 0.019562 Loss_D_real: -0.017144 Loss_D_fake 0.003156
[1471/5000][255/535][151814] Loss_D: -0.019944 Loss_G: 0.010537 Loss_D_real: -0.016395 Loss_D_fake 0.003550
[1471/5000][260/535][151815] Loss_D: -0.020357 Loss_G: 0.012365 Loss_D_real: -0.013312 Loss_D_fake 0.007045
[1471/5000][265/535][151816] Loss_D: -0.020462 Loss_G: 0.001256 Loss_D_real: -0.018763 Loss_D_fake 0.001700
[1471/5000][270/535][151817] Loss_D: -0.019286 Loss_G: 0.020207 Loss_D_real: -0.034934 Loss_D_fake -0.015648
[1471/5000][275/535][151818] Loss_D: -0.021149 Loss_G: 0.006066 Loss_D_real: -0.015495 Loss_D_fake 0.005655
[1471/5000][280/535][151819] Loss_D: -0.019774 Loss_G: 0.001316 Loss_D_real: -0.012178 Loss_D_fake 0.007596
[1471/5000][285/535][151820] Loss_D: -0.018561 Loss_G: 0.027265 Loss_D_real: -0.035180 Loss_D_fake -0.016620
[1471/5000][290/535][151821] Loss_D: -0.020794 Loss_G: 0.008896 Loss_D_real: -0.018230 Loss_D_fake 0.002564
[1471/5000][295/535][151822] Loss_D: -0.021273 Loss_G: -0.000729 Loss_D_real: -0.020235 Loss_D_fake 0.001038
[1471/5000][300/535][151823] Loss_D: -0.020172 Loss_G: -0.001992 Loss_D_real: -0.014953 Loss_D_fake 0.005219
[1471/5000][305/535][151824] Loss_D: -0.019970 Loss_G: 0.003838 Loss_D_real: -0.016115 Loss_D_fake 0.003855
[1471/5000][310/535][151825] Loss_D: -0.019867 Loss_G: 0.001111 Loss_D_real: -0.010893 Loss_D_fake 0.008974
[1471/5000][315/535][151826] Loss_D: -0.019437 Loss_G: 0.011738 Loss_D_real: 0.000348 Loss_D_fake 0.019784
[1471/5000][320/535][151827] Loss_D: -0.018834 Loss_G: 0.008096 Loss_D_real: -0.010781 Loss_D_fake 0.008052
[1471/5000][325/535][151828] Loss_D: -0.020604 Loss_G: 0.011987 Loss_D_real: -0.015922 Loss_D_fake 0.004682
[1471/5000][330/535][151829] Loss_D: -0.020002 Loss_G: -0.002769 Loss_D_real: -0.015580 Loss_D_fake 0.004422
[1471/5000][335/535][151830] Loss_D: -0.018966 Loss_G: 0.034873 Loss_D_real: -0.029009 Loss_D_fake -0.010043
[1471/5000][340/535][151831] Loss_D: -0.020002 Loss_G: -0.010800 Loss_D_real: -0.007536 Loss_D_fake 0.012466
[1471/5000][345/535][151832] Loss_D: -0.022640 Loss_G: -0.002150 Loss_D_real: -0.011777 Loss_D_fake 0.010863
[1471/5000][350/535][151833] Loss_D: -0.020210 Loss_G: 0.017269 Loss_D_real: -0.023626 Loss_D_fake -0.003416
[1471/5000][355/535][151834] Loss_D: -0.020355 Loss_G: 0.022522 Loss_D_real: -0.025406 Loss_D_fake -0.005051
[1471/5000][360/535][151835] Loss_D: -0.019643 Loss_G: 0.001516 Loss_D_real: 0.001697 Loss_D_fake 0.021339
[1471/5000][365/535][151836] Loss_D: -0.017993 Loss_G: -0.001308 Loss_D_real: -0.003604 Loss_D_fake 0.014389
[1471/5000][370/535][151837] Loss_D: -0.017898 Loss_G: 0.020204 Loss_D_real: -0.032578 Loss_D_fake -0.014681
[1471/5000][375/535][151838] Loss_D: -0.020839 Loss_G: 0.014128 Loss_D_real: -0.029297 Loss_D_fake -0.008458
[1471/5000][380/535][151839] Loss_D: -0.021041 Loss_G: 0.014533 Loss_D_real: -0.017978 Loss_D_fake 0.003063
[1471/5000][385/535][151840] Loss_D: -0.018672 Loss_G: -0.002650 Loss_D_real: -0.016746 Loss_D_fake 0.001926
[1471/5000][390/535][151841] Loss_D: -0.019417 Loss_G: -0.014537 Loss_D_real: -0.012280 Loss_D_fake 0.007137
[1471/5000][395/535][151842] Loss_D: -0.019649 Loss_G: 0.032891 Loss_D_real: -0.032405 Loss_D_fake -0.012756
[1471/5000][400/535][151843] Loss_D: -0.016721 Loss_G: 0.029290 Loss_D_real: -0.040524 Loss_D_fake -0.023804
[1471/5000][405/535][151844] Loss_D: -0.021262 Loss_G: 0.020147 Loss_D_real: -0.019777 Loss_D_fake 0.001485
[1471/5000][410/535][151845] Loss_D: -0.020322 Loss_G: -0.001579 Loss_D_real: -0.016832 Loss_D_fake 0.003490
[1471/5000][415/535][151846] Loss_D: -0.020640 Loss_G: 0.010294 Loss_D_real: -0.024560 Loss_D_fake -0.003920
[1471/5000][420/535][151847] Loss_D: -0.021715 Loss_G: 0.011217 Loss_D_real: -0.028825 Loss_D_fake -0.007110
[1471/5000][425/535][151848] Loss_D: -0.020436 Loss_G: -0.000295 Loss_D_real: -0.013183 Loss_D_fake 0.007253
[1471/5000][430/535][151849] Loss_D: -0.021006 Loss_G: 0.013535 Loss_D_real: -0.018422 Loss_D_fake 0.002584
[1471/5000][435/535][151850] Loss_D: -0.020649 Loss_G: 0.020231 Loss_D_real: -0.019398 Loss_D_fake 0.001251
[1471/5000][440/535][151851] Loss_D: -0.021322 Loss_G: -0.005734 Loss_D_real: -0.003936 Loss_D_fake 0.017386
[1471/5000][445/535][151852] Loss_D: -0.017876 Loss_G: 0.020339 Loss_D_real: -0.030477 Loss_D_fake -0.012601
[1471/5000][450/535][151853] Loss_D: -0.021268 Loss_G: 0.007709 Loss_D_real: -0.023117 Loss_D_fake -0.001850
[1471/5000][455/535][151854] Loss_D: -0.021309 Loss_G: 0.001977 Loss_D_real: 0.001784 Loss_D_fake 0.023093
[1471/5000][460/535][151855] Loss_D: -0.020399 Loss_G: 0.009740 Loss_D_real: -0.016082 Loss_D_fake 0.004317
[1471/5000][465/535][151856] Loss_D: -0.017745 Loss_G: 0.017499 Loss_D_real: -0.034008 Loss_D_fake -0.016264
[1471/5000][470/535][151857] Loss_D: -0.020707 Loss_G: 0.002609 Loss_D_real: -0.018498 Loss_D_fake 0.002209
[1471/5000][475/535][151858] Loss_D: -0.020173 Loss_G: 0.005759 Loss_D_real: -0.018697 Loss_D_fake 0.001476
[1471/5000][480/535][151859] Loss_D: -0.019411 Loss_G: 0.000956 Loss_D_real: -0.019118 Loss_D_fake 0.000293
[1471/5000][485/535][151860] Loss_D: -0.020646 Loss_G: 0.018760 Loss_D_real: -0.022055 Loss_D_fake -0.001410
[1471/5000][490/535][151861] Loss_D: -0.021324 Loss_G: 0.010162 Loss_D_real: -0.019794 Loss_D_fake 0.001530
[1471/5000][495/535][151862] Loss_D: -0.018805 Loss_G: -0.005303 Loss_D_real: -0.024578 Loss_D_fake -0.005773
[1471/5000][500/535][151863] Loss_D: -0.019993 Loss_G: 0.009983 Loss_D_real: -0.032025 Loss_D_fake -0.012032
[1471/5000][505/535][151864] Loss_D: -0.019010 Loss_G: -0.003354 Loss_D_real: -0.009348 Loss_D_fake 0.009662
[1471/5000][510/535][151865] Loss_D: -0.021348 Loss_G: 0.008225 Loss_D_real: -0.012721 Loss_D_fake 0.008627
[1471/5000][515/535][151866] Loss_D: -0.020034 Loss_G: 0.014895 Loss_D_real: -0.025255 Loss_D_fake -0.005221
[1471/5000][520/535][151867] Loss_D: -0.019389 Loss_G: -0.005693 Loss_D_real: -0.009671 Loss_D_fake 0.009718
[1471/5000][525/535][151868] Loss_D: -0.019243 Loss_G: 0.018753 Loss_D_real: -0.034507 Loss_D_fake -0.015264
[1471/5000][530/535][151869] Loss_D: -0.019877 Loss_G: 0.026390 Loss_D_real: -0.028066 Loss_D_fake -0.008189
[1471/5000][535/535][151870] Loss_D: -0.021406 Loss_G: 0.008048 Loss_D_real: -0.013313 Loss_D_fake 0.008093
[1472/5000][5/535][151871] Loss_D: -0.017927 Loss_G: 0.022819 Loss_D_real: -0.022805 Loss_D_fake -0.004879
[1472/5000][10/535][151872] Loss_D: -0.019341 Loss_G: 0.013511 Loss_D_real: -0.014783 Loss_D_fake 0.004558
[1472/5000][15/535][151873] Loss_D: -0.019291 Loss_G: 0.011651 Loss_D_real: -0.035168 Loss_D_fake -0.015877
[1472/5000][20/535][151874] Loss_D: -0.021465 Loss_G: 0.016659 Loss_D_real: -0.020090 Loss_D_fake 0.001374
[1472/5000][25/535][151875] Loss_D: -0.019002 Loss_G: 0.010438 Loss_D_real: -0.020981 Loss_D_fake -0.001979
[1472/5000][30/535][151876] Loss_D: -0.020700 Loss_G: 0.015286 Loss_D_real: -0.016288 Loss_D_fake 0.004412
[1472/5000][35/535][151877] Loss_D: -0.019222 Loss_G: -0.016463 Loss_D_real: -0.004559 Loss_D_fake 0.014663
[1472/5000][40/535][151878] Loss_D: -0.019735 Loss_G: 0.006341 Loss_D_real: -0.009086 Loss_D_fake 0.010649
[1472/5000][45/535][151879] Loss_D: -0.019705 Loss_G: 0.000440 Loss_D_real: -0.017990 Loss_D_fake 0.001715
[1472/5000][50/535][151880] Loss_D: -0.021051 Loss_G: 0.015934 Loss_D_real: -0.025170 Loss_D_fake -0.004119
[1472/5000][55/535][151881] Loss_D: -0.019245 Loss_G: 0.014809 Loss_D_real: -0.020813 Loss_D_fake -0.001568
[1472/5000][60/535][151882] Loss_D: -0.019663 Loss_G: 0.014576 Loss_D_real: -0.020857 Loss_D_fake -0.001195
[1472/5000][65/535][151883] Loss_D: -0.019879 Loss_G: -0.000822 Loss_D_real: -0.008363 Loss_D_fake 0.011516
[1472/5000][70/535][151884] Loss_D: -0.019265 Loss_G: -0.005387 Loss_D_real: 0.002413 Loss_D_fake 0.021678
[1472/5000][75/535][151885] Loss_D: -0.018943 Loss_G: -0.003810 Loss_D_real: -0.011569 Loss_D_fake 0.007374
[1472/5000][80/535][151886] Loss_D: -0.019631 Loss_G: 0.005746 Loss_D_real: -0.009006 Loss_D_fake 0.010625
[1472/5000][85/535][151887] Loss_D: -0.020044 Loss_G: -0.003727 Loss_D_real: -0.010700 Loss_D_fake 0.009344
[1472/5000][90/535][151888] Loss_D: -0.020704 Loss_G: -0.000813 Loss_D_real: -0.008682 Loss_D_fake 0.012022
[1472/5000][95/535][151889] Loss_D: -0.020607 Loss_G: 0.018960 Loss_D_real: -0.028807 Loss_D_fake -0.008200
[1472/5000][100/535][151890] Loss_D: -0.019527 Loss_G: 0.023317 Loss_D_real: -0.028320 Loss_D_fake -0.008793
[1472/5000][105/535][151891] Loss_D: -0.018056 Loss_G: -0.025604 Loss_D_real: 0.006130 Loss_D_fake 0.024187
[1472/5000][110/535][151892] Loss_D: -0.019252 Loss_G: -0.003439 Loss_D_real: -0.003950 Loss_D_fake 0.015302
[1472/5000][115/535][151893] Loss_D: -0.019951 Loss_G: 0.008476 Loss_D_real: -0.016879 Loss_D_fake 0.003072
[1472/5000][120/535][151894] Loss_D: -0.019566 Loss_G: 0.001493 Loss_D_real: -0.017586 Loss_D_fake 0.001980
[1472/5000][125/535][151895] Loss_D: -0.020333 Loss_G: 0.014648 Loss_D_real: -0.025357 Loss_D_fake -0.005024
[1472/5000][130/535][151896] Loss_D: -0.022150 Loss_G: 0.000079 Loss_D_real: -0.013700 Loss_D_fake 0.008450
[1472/5000][135/535][151897] Loss_D: -0.018348 Loss_G: 0.019278 Loss_D_real: -0.026143 Loss_D_fake -0.007796
[1472/5000][140/535][151898] Loss_D: -0.020658 Loss_G: -0.003404 Loss_D_real: -0.009313 Loss_D_fake 0.011345
[1472/5000][145/535][151899] Loss_D: -0.021023 Loss_G: 0.022508 Loss_D_real: -0.015784 Loss_D_fake 0.005239
[1472/5000][150/535][151900] Loss_D: -0.022009 Loss_G: 0.007533 Loss_D_real: -0.006846 Loss_D_fake 0.015163
[1472/5000][155/535][151901] Loss_D: -0.019845 Loss_G: 0.001281 Loss_D_real: -0.026392 Loss_D_fake -0.006547
[1472/5000][160/535][151902] Loss_D: -0.018125 Loss_G: 0.030780 Loss_D_real: -0.040949 Loss_D_fake -0.022824
[1472/5000][165/535][151903] Loss_D: -0.020364 Loss_G: 0.000966 Loss_D_real: -0.007823 Loss_D_fake 0.012541
[1472/5000][170/535][151904] Loss_D: -0.020293 Loss_G: -0.000246 Loss_D_real: -0.020667 Loss_D_fake -0.000373
[1472/5000][175/535][151905] Loss_D: -0.020702 Loss_G: 0.002825 Loss_D_real: -0.019140 Loss_D_fake 0.001562
[1472/5000][180/535][151906] Loss_D: -0.017761 Loss_G: 0.024874 Loss_D_real: -0.039068 Loss_D_fake -0.021307
[1472/5000][185/535][151907] Loss_D: -0.020863 Loss_G: 0.007878 Loss_D_real: -0.008921 Loss_D_fake 0.011942
[1472/5000][190/535][151908] Loss_D: -0.020688 Loss_G: 0.002460 Loss_D_real: -0.023764 Loss_D_fake -0.003076
[1472/5000][195/535][151909] Loss_D: -0.018063 Loss_G: -0.011706 Loss_D_real: -0.006635 Loss_D_fake 0.011428
[1472/5000][200/535][151910] Loss_D: -0.021446 Loss_G: 0.005256 Loss_D_real: -0.015722 Loss_D_fake 0.005724
[1472/5000][205/535][151911] Loss_D: -0.019613 Loss_G: 0.013488 Loss_D_real: -0.015471 Loss_D_fake 0.004142
[1472/5000][210/535][151912] Loss_D: -0.020647 Loss_G: 0.010892 Loss_D_real: -0.011595 Loss_D_fake 0.009052
[1472/5000][215/535][151913] Loss_D: -0.020459 Loss_G: 0.007559 Loss_D_real: -0.006353 Loss_D_fake 0.014106
[1472/5000][220/535][151914] Loss_D: -0.019552 Loss_G: 0.026067 Loss_D_real: -0.031045 Loss_D_fake -0.011493
[1472/5000][225/535][151915] Loss_D: -0.018724 Loss_G: 0.005825 Loss_D_real: -0.020602 Loss_D_fake -0.001877
[1472/5000][230/535][151916] Loss_D: -0.018896 Loss_G: 0.002232 Loss_D_real: -0.023786 Loss_D_fake -0.004890
[1472/5000][235/535][151917] Loss_D: -0.020344 Loss_G: 0.010659 Loss_D_real: -0.011630 Loss_D_fake 0.008714
[1472/5000][240/535][151918] Loss_D: -0.020035 Loss_G: -0.001274 Loss_D_real: -0.029302 Loss_D_fake -0.009267
[1472/5000][245/535][151919] Loss_D: -0.020834 Loss_G: 0.007441 Loss_D_real: -0.011908 Loss_D_fake 0.008926
[1472/5000][250/535][151920] Loss_D: -0.020702 Loss_G: 0.010356 Loss_D_real: -0.006194 Loss_D_fake 0.014508
[1472/5000][255/535][151921] Loss_D: -0.018075 Loss_G: 0.030683 Loss_D_real: -0.022912 Loss_D_fake -0.004837
[1472/5000][260/535][151922] Loss_D: -0.020034 Loss_G: 0.000241 Loss_D_real: -0.014288 Loss_D_fake 0.005746
[1472/5000][265/535][151923] Loss_D: -0.019941 Loss_G: 0.005950 Loss_D_real: -0.017524 Loss_D_fake 0.002417
[1472/5000][270/535][151924] Loss_D: -0.019530 Loss_G: 0.008257 Loss_D_real: -0.007630 Loss_D_fake 0.011901
[1472/5000][275/535][151925] Loss_D: -0.020715 Loss_G: -0.005676 Loss_D_real: -0.004529 Loss_D_fake 0.016186
[1472/5000][280/535][151926] Loss_D: -0.019920 Loss_G: 0.009783 Loss_D_real: -0.024269 Loss_D_fake -0.004349
[1472/5000][285/535][151927] Loss_D: -0.020398 Loss_G: 0.007085 Loss_D_real: -0.007241 Loss_D_fake 0.013157
[1472/5000][290/535][151928] Loss_D: -0.019967 Loss_G: 0.005030 Loss_D_real: -0.004312 Loss_D_fake 0.015656
[1472/5000][295/535][151929] Loss_D: -0.019156 Loss_G: 0.019634 Loss_D_real: -0.034920 Loss_D_fake -0.015764
[1472/5000][300/535][151930] Loss_D: -0.019501 Loss_G: 0.012254 Loss_D_real: -0.030023 Loss_D_fake -0.010522
[1472/5000][305/535][151931] Loss_D: -0.020594 Loss_G: -0.011875 Loss_D_real: -0.005413 Loss_D_fake 0.015181
[1472/5000][310/535][151932] Loss_D: -0.019709 Loss_G: -0.001799 Loss_D_real: -0.006820 Loss_D_fake 0.012889
[1472/5000][315/535][151933] Loss_D: -0.019664 Loss_G: -0.002819 Loss_D_real: -0.017199 Loss_D_fake 0.002465
[1472/5000][320/535][151934] Loss_D: -0.019738 Loss_G: 0.018921 Loss_D_real: -0.025637 Loss_D_fake -0.005899
[1472/5000][325/535][151935] Loss_D: -0.019645 Loss_G: 0.015293 Loss_D_real: -0.021587 Loss_D_fake -0.001942
[1472/5000][330/535][151936] Loss_D: -0.020405 Loss_G: 0.021175 Loss_D_real: -0.020951 Loss_D_fake -0.000546
[1472/5000][335/535][151937] Loss_D: -0.019787 Loss_G: 0.006323 Loss_D_real: -0.001053 Loss_D_fake 0.018734
[1472/5000][340/535][151938] Loss_D: -0.020014 Loss_G: -0.000742 Loss_D_real: -0.017378 Loss_D_fake 0.002636
[1472/5000][345/535][151939] Loss_D: -0.020084 Loss_G: 0.013002 Loss_D_real: -0.031149 Loss_D_fake -0.011066
[1472/5000][350/535][151940] Loss_D: -0.019462 Loss_G: 0.009220 Loss_D_real: -0.013583 Loss_D_fake 0.005879
[1472/5000][355/535][151941] Loss_D: -0.019123 Loss_G: -0.019960 Loss_D_real: -0.000824 Loss_D_fake 0.018298
[1472/5000][360/535][151942] Loss_D: -0.020711 Loss_G: 0.026609 Loss_D_real: -0.014816 Loss_D_fake 0.005895
[1472/5000][365/535][151943] Loss_D: -0.019828 Loss_G: 0.016766 Loss_D_real: -0.021605 Loss_D_fake -0.001777
[1472/5000][370/535][151944] Loss_D: -0.021711 Loss_G: -0.006938 Loss_D_real: -0.007053 Loss_D_fake 0.014659
[1472/5000][375/535][151945] Loss_D: -0.018729 Loss_G: 0.004943 Loss_D_real: -0.022012 Loss_D_fake -0.003283
[1472/5000][380/535][151946] Loss_D: -0.019066 Loss_G: -0.003264 Loss_D_real: 0.002952 Loss_D_fake 0.022018
[1472/5000][385/535][151947] Loss_D: -0.019376 Loss_G: 0.018904 Loss_D_real: -0.025125 Loss_D_fake -0.005749
[1472/5000][390/535][151948] Loss_D: -0.019790 Loss_G: 0.025291 Loss_D_real: -0.029675 Loss_D_fake -0.009885
[1472/5000][395/535][151949] Loss_D: -0.021258 Loss_G: -0.004408 Loss_D_real: -0.009446 Loss_D_fake 0.011812
[1472/5000][400/535][151950] Loss_D: -0.019319 Loss_G: 0.011239 Loss_D_real: -0.026339 Loss_D_fake -0.007020
[1472/5000][405/535][151951] Loss_D: -0.019202 Loss_G: -0.005468 Loss_D_real: -0.003126 Loss_D_fake 0.016076
[1472/5000][410/535][151952] Loss_D: -0.019444 Loss_G: 0.007810 Loss_D_real: -0.019502 Loss_D_fake -0.000058
[1472/5000][415/535][151953] Loss_D: -0.020071 Loss_G: -0.002099 Loss_D_real: -0.005165 Loss_D_fake 0.014906
[1472/5000][420/535][151954] Loss_D: -0.019649 Loss_G: 0.021722 Loss_D_real: -0.026999 Loss_D_fake -0.007349
[1472/5000][425/535][151955] Loss_D: -0.020783 Loss_G: -0.002199 Loss_D_real: -0.006259 Loss_D_fake 0.014525
[1472/5000][430/535][151956] Loss_D: -0.019531 Loss_G: -0.009969 Loss_D_real: -0.003039 Loss_D_fake 0.016492
[1472/5000][435/535][151957] Loss_D: -0.019429 Loss_G: 0.000536 Loss_D_real: -0.008863 Loss_D_fake 0.010566
[1472/5000][440/535][151958] Loss_D: -0.019840 Loss_G: 0.018222 Loss_D_real: -0.021577 Loss_D_fake -0.001738
[1472/5000][445/535][151959] Loss_D: -0.020185 Loss_G: 0.016020 Loss_D_real: -0.018434 Loss_D_fake 0.001751
[1472/5000][450/535][151960] Loss_D: -0.020093 Loss_G: 0.007900 Loss_D_real: -0.015460 Loss_D_fake 0.004634
[1472/5000][455/535][151961] Loss_D: -0.020250 Loss_G: -0.008933 Loss_D_real: -0.001132 Loss_D_fake 0.019118
[1472/5000][460/535][151962] Loss_D: -0.020815 Loss_G: 0.009561 Loss_D_real: -0.026000 Loss_D_fake -0.005185
[1472/5000][465/535][151963] Loss_D: -0.020253 Loss_G: -0.004587 Loss_D_real: 0.000519 Loss_D_fake 0.020772
[1472/5000][470/535][151964] Loss_D: -0.019646 Loss_G: 0.002481 Loss_D_real: -0.004837 Loss_D_fake 0.014809
[1472/5000][475/535][151965] Loss_D: -0.020295 Loss_G: 0.030050 Loss_D_real: -0.024633 Loss_D_fake -0.004338
[1472/5000][480/535][151966] Loss_D: -0.019206 Loss_G: 0.019373 Loss_D_real: -0.016381 Loss_D_fake 0.002826
[1472/5000][485/535][151967] Loss_D: -0.019502 Loss_G: 0.022626 Loss_D_real: -0.021227 Loss_D_fake -0.001725
[1472/5000][490/535][151968] Loss_D: -0.019226 Loss_G: 0.014675 Loss_D_real: -0.020599 Loss_D_fake -0.001373
[1472/5000][495/535][151969] Loss_D: -0.018904 Loss_G: 0.010083 Loss_D_real: -0.022058 Loss_D_fake -0.003155
[1472/5000][500/535][151970] Loss_D: -0.020410 Loss_G: 0.020498 Loss_D_real: -0.014444 Loss_D_fake 0.005966
[1472/5000][505/535][151971] Loss_D: -0.019408 Loss_G: -0.015491 Loss_D_real: -0.007732 Loss_D_fake 0.011675
[1472/5000][510/535][151972] Loss_D: -0.020028 Loss_G: 0.019556 Loss_D_real: -0.016998 Loss_D_fake 0.003030
[1472/5000][515/535][151973] Loss_D: -0.020337 Loss_G: 0.008232 Loss_D_real: -0.012114 Loss_D_fake 0.008224
[1472/5000][520/535][151974] Loss_D: -0.018413 Loss_G: 0.023281 Loss_D_real: -0.038896 Loss_D_fake -0.020483
[1472/5000][525/535][151975] Loss_D: -0.020478 Loss_G: 0.022638 Loss_D_real: -0.019076 Loss_D_fake 0.001402
[1472/5000][530/535][151976] Loss_D: -0.018873 Loss_G: 0.001999 Loss_D_real: -0.008111 Loss_D_fake 0.010762
[1472/5000][535/535][151977] Loss_D: -0.019991 Loss_G: 0.013008 Loss_D_real: -0.029323 Loss_D_fake -0.009332
[1473/5000][5/535][151978] Loss_D: -0.020120 Loss_G: 0.007679 Loss_D_real: -0.026622 Loss_D_fake -0.006502
[1473/5000][10/535][151979] Loss_D: -0.019883 Loss_G: 0.028515 Loss_D_real: -0.030705 Loss_D_fake -0.010822
[1473/5000][15/535][151980] Loss_D: -0.019350 Loss_G: 0.008757 Loss_D_real: -0.022773 Loss_D_fake -0.003423
[1473/5000][20/535][151981] Loss_D: -0.019512 Loss_G: 0.008215 Loss_D_real: -0.013474 Loss_D_fake 0.006039
[1473/5000][25/535][151982] Loss_D: -0.019418 Loss_G: -0.002540 Loss_D_real: -0.022782 Loss_D_fake -0.003364
[1473/5000][30/535][151983] Loss_D: -0.020158 Loss_G: 0.027693 Loss_D_real: -0.012495 Loss_D_fake 0.007663
[1473/5000][35/535][151984] Loss_D: -0.019483 Loss_G: 0.000456 Loss_D_real: -0.012960 Loss_D_fake 0.006523
[1473/5000][40/535][151985] Loss_D: -0.019501 Loss_G: -0.011938 Loss_D_real: -0.012287 Loss_D_fake 0.007214
[1473/5000][45/535][151986] Loss_D: -0.018385 Loss_G: -0.014502 Loss_D_real: 0.002746 Loss_D_fake 0.021131
[1473/5000][50/535][151987] Loss_D: -0.020243 Loss_G: 0.001281 Loss_D_real: -0.018673 Loss_D_fake 0.001570
[1473/5000][55/535][151988] Loss_D: -0.020437 Loss_G: 0.017176 Loss_D_real: -0.023779 Loss_D_fake -0.003343
[1473/5000][60/535][151989] Loss_D: -0.021224 Loss_G: 0.010055 Loss_D_real: -0.015269 Loss_D_fake 0.005955
[1473/5000][65/535][151990] Loss_D: -0.019904 Loss_G: 0.003739 Loss_D_real: -0.007757 Loss_D_fake 0.012147
[1473/5000][70/535][151991] Loss_D: -0.020103 Loss_G: 0.020361 Loss_D_real: -0.028744 Loss_D_fake -0.008640
[1473/5000][75/535][151992] Loss_D: -0.020057 Loss_G: 0.018671 Loss_D_real: -0.016583 Loss_D_fake 0.003474
[1473/5000][80/535][151993] Loss_D: -0.020456 Loss_G: 0.009425 Loss_D_real: -0.011365 Loss_D_fake 0.009092
[1473/5000][85/535][151994] Loss_D: -0.021374 Loss_G: 0.001637 Loss_D_real: -0.023986 Loss_D_fake -0.002612
[1473/5000][90/535][151995] Loss_D: -0.020873 Loss_G: 0.018021 Loss_D_real: -0.028048 Loss_D_fake -0.007174
[1473/5000][95/535][151996] Loss_D: -0.020798 Loss_G: -0.006929 Loss_D_real: -0.019536 Loss_D_fake 0.001262
[1473/5000][100/535][151997] Loss_D: -0.020264 Loss_G: 0.012796 Loss_D_real: -0.009906 Loss_D_fake 0.010358
[1473/5000][105/535][151998] Loss_D: -0.020434 Loss_G: 0.005700 Loss_D_real: -0.003353 Loss_D_fake 0.017081
[1473/5000][110/535][151999] Loss_D: -0.019456 Loss_G: 0.022592 Loss_D_real: -0.037838 Loss_D_fake -0.018382
[1473/5000][115/535][152000] Loss_D: -0.020621 Loss_G: 0.002264 Loss_D_real: -0.015098 Loss_D_fake 0.005523
[1473/5000][215/535][152001] Loss_D: -0.022223 Loss_G: 0.024012 Loss_D_real: -0.036429 Loss_D_fake -0.014206
[1473/5000][220/535][152002] Loss_D: -0.018263 Loss_G: 0.016237 Loss_D_real: -0.018290 Loss_D_fake -0.000026
[1473/5000][225/535][152003] Loss_D: -0.017145 Loss_G: 0.019272 Loss_D_real: -0.020215 Loss_D_fake -0.003070
[1473/5000][230/535][152004] Loss_D: -0.016743 Loss_G: 0.027381 Loss_D_real: -0.030411 Loss_D_fake -0.013668
[1473/5000][235/535][152005] Loss_D: -0.020156 Loss_G: 0.002002 Loss_D_real: -0.013682 Loss_D_fake 0.006474
[1473/5000][240/535][152006] Loss_D: -0.019514 Loss_G: 0.008332 Loss_D_real: -0.021364 Loss_D_fake -0.001850
[1473/5000][245/535][152007] Loss_D: -0.018595 Loss_G: 0.009416 Loss_D_real: -0.019645 Loss_D_fake -0.001051
[1473/5000][250/535][152008] Loss_D: -0.019091 Loss_G: 0.009443 Loss_D_real: -0.021933 Loss_D_fake -0.002842
[1473/5000][255/535][152009] Loss_D: -0.018818 Loss_G: 0.004566 Loss_D_real: -0.012408 Loss_D_fake 0.006409
[1473/5000][260/535][152010] Loss_D: -0.017319 Loss_G: -0.016554 Loss_D_real: 0.000242 Loss_D_fake 0.017561
[1473/5000][265/535][152011] Loss_D: -0.019160 Loss_G: 0.018042 Loss_D_real: -0.024470 Loss_D_fake -0.005310
[1473/5000][270/535][152012] Loss_D: -0.019426 Loss_G: 0.010819 Loss_D_real: -0.024228 Loss_D_fake -0.004803
[1473/5000][275/535][152013] Loss_D: -0.017798 Loss_G: 0.028519 Loss_D_real: -0.024363 Loss_D_fake -0.006565
[1473/5000][280/535][152014] Loss_D: -0.020286 Loss_G: 0.011963 Loss_D_real: -0.037508 Loss_D_fake -0.017223
[1473/5000][285/535][152015] Loss_D: -0.019471 Loss_G: 0.017664 Loss_D_real: -0.024489 Loss_D_fake -0.005018
[1473/5000][290/535][152016] Loss_D: -0.020005 Loss_G: -0.001802 Loss_D_real: -0.014271 Loss_D_fake 0.005734
[1473/5000][295/535][152017] Loss_D: -0.020061 Loss_G: 0.007455 Loss_D_real: -0.019476 Loss_D_fake 0.000585
[1473/5000][300/535][152018] Loss_D: -0.019983 Loss_G: -0.014299 Loss_D_real: -0.007931 Loss_D_fake 0.012052
[1473/5000][305/535][152019] Loss_D: -0.019231 Loss_G: 0.025297 Loss_D_real: -0.024923 Loss_D_fake -0.005692
[1473/5000][310/535][152020] Loss_D: -0.019127 Loss_G: 0.006401 Loss_D_real: -0.007827 Loss_D_fake 0.011299
[1473/5000][315/535][152021] Loss_D: -0.020160 Loss_G: 0.004104 Loss_D_real: -0.016934 Loss_D_fake 0.003226
[1473/5000][320/535][152022] Loss_D: -0.020478 Loss_G: -0.000148 Loss_D_real: -0.020850 Loss_D_fake -0.000371
[1473/5000][325/535][152023] Loss_D: -0.019583 Loss_G: -0.009044 Loss_D_real: -0.004521 Loss_D_fake 0.015063
[1473/5000][330/535][152024] Loss_D: -0.020051 Loss_G: 0.001821 Loss_D_real: -0.017736 Loss_D_fake 0.002314
[1473/5000][335/535][152025] Loss_D: -0.020520 Loss_G: 0.005312 Loss_D_real: -0.006838 Loss_D_fake 0.013682
[1473/5000][340/535][152026] Loss_D: -0.020941 Loss_G: 0.002648 Loss_D_real: -0.010293 Loss_D_fake 0.010649
[1473/5000][345/535][152027] Loss_D: -0.020250 Loss_G: 0.010406 Loss_D_real: -0.014937 Loss_D_fake 0.005313
[1473/5000][350/535][152028] Loss_D: -0.020478 Loss_G: 0.011529 Loss_D_real: -0.015099 Loss_D_fake 0.005379
[1473/5000][355/535][152029] Loss_D: -0.018299 Loss_G: -0.010348 Loss_D_real: 0.002468 Loss_D_fake 0.020767
[1473/5000][360/535][152030] Loss_D: -0.019824 Loss_G: 0.004221 Loss_D_real: -0.012852 Loss_D_fake 0.006972
[1473/5000][365/535][152031] Loss_D: -0.019981 Loss_G: 0.007776 Loss_D_real: -0.010442 Loss_D_fake 0.009540
[1473/5000][370/535][152032] Loss_D: -0.019416 Loss_G: -0.016161 Loss_D_real: 0.001749 Loss_D_fake 0.021166
[1473/5000][375/535][152033] Loss_D: -0.020366 Loss_G: 0.008306 Loss_D_real: -0.013879 Loss_D_fake 0.006487
[1473/5000][380/535][152034] Loss_D: -0.020220 Loss_G: 0.016818 Loss_D_real: -0.013420 Loss_D_fake 0.006800
[1473/5000][385/535][152035] Loss_D: -0.019634 Loss_G: -0.005635 Loss_D_real: -0.001706 Loss_D_fake 0.017928
[1473/5000][390/535][152036] Loss_D: -0.019897 Loss_G: -0.004843 Loss_D_real: -0.000852 Loss_D_fake 0.019046
[1473/5000][395/535][152037] Loss_D: -0.019614 Loss_G: 0.017995 Loss_D_real: -0.037214 Loss_D_fake -0.017600
[1473/5000][400/535][152038] Loss_D: -0.020238 Loss_G: -0.002480 Loss_D_real: -0.006043 Loss_D_fake 0.014195
[1473/5000][405/535][152039] Loss_D: -0.020217 Loss_G: 0.006804 Loss_D_real: -0.010409 Loss_D_fake 0.009808
[1473/5000][410/535][152040] Loss_D: -0.021696 Loss_G: 0.008715 Loss_D_real: -0.015092 Loss_D_fake 0.006605
[1473/5000][415/535][152041] Loss_D: -0.021054 Loss_G: 0.008147 Loss_D_real: -0.012885 Loss_D_fake 0.008170
[1473/5000][420/535][152042] Loss_D: -0.020247 Loss_G: 0.018225 Loss_D_real: -0.031247 Loss_D_fake -0.011001
[1473/5000][425/535][152043] Loss_D: -0.020620 Loss_G: 0.001823 Loss_D_real: -0.011715 Loss_D_fake 0.008905
[1473/5000][430/535][152044] Loss_D: -0.018565 Loss_G: 0.032100 Loss_D_real: -0.017302 Loss_D_fake 0.001263
[1473/5000][435/535][152045] Loss_D: -0.020802 Loss_G: 0.015566 Loss_D_real: -0.010785 Loss_D_fake 0.010017
[1473/5000][440/535][152046] Loss_D: -0.019736 Loss_G: 0.000888 Loss_D_real: -0.013552 Loss_D_fake 0.006185
[1473/5000][445/535][152047] Loss_D: -0.019801 Loss_G: 0.011168 Loss_D_real: -0.001937 Loss_D_fake 0.017864
[1473/5000][450/535][152048] Loss_D: -0.020821 Loss_G: 0.005961 Loss_D_real: -0.022730 Loss_D_fake -0.001909
[1473/5000][455/535][152049] Loss_D: -0.019996 Loss_G: 0.005841 Loss_D_real: -0.020850 Loss_D_fake -0.000854
[1473/5000][460/535][152050] Loss_D: -0.019621 Loss_G: -0.013978 Loss_D_real: -0.009609 Loss_D_fake 0.010011
[1473/5000][465/535][152051] Loss_D: -0.017455 Loss_G: 0.019955 Loss_D_real: -0.029237 Loss_D_fake -0.011782
[1473/5000][470/535][152052] Loss_D: -0.019772 Loss_G: 0.006227 Loss_D_real: -0.022185 Loss_D_fake -0.002413
[1473/5000][475/535][152053] Loss_D: -0.019604 Loss_G: 0.006122 Loss_D_real: -0.022558 Loss_D_fake -0.002954
[1473/5000][480/535][152054] Loss_D: -0.019544 Loss_G: -0.000832 Loss_D_real: -0.014584 Loss_D_fake 0.004960
[1473/5000][485/535][152055] Loss_D: -0.019985 Loss_G: 0.014706 Loss_D_real: -0.018890 Loss_D_fake 0.001095
[1473/5000][490/535][152056] Loss_D: -0.021516 Loss_G: 0.007356 Loss_D_real: -0.010288 Loss_D_fake 0.011228
[1473/5000][495/535][152057] Loss_D: -0.020202 Loss_G: 0.008985 Loss_D_real: -0.016454 Loss_D_fake 0.003748
[1473/5000][500/535][152058] Loss_D: -0.019812 Loss_G: 0.005426 Loss_D_real: -0.015401 Loss_D_fake 0.004411
[1473/5000][505/535][152059] Loss_D: -0.020515 Loss_G: 0.009863 Loss_D_real: -0.020240 Loss_D_fake 0.000275
[1473/5000][510/535][152060] Loss_D: -0.020148 Loss_G: 0.016548 Loss_D_real: -0.012536 Loss_D_fake 0.007613
[1473/5000][515/535][152061] Loss_D: -0.019403 Loss_G: 0.020117 Loss_D_real: -0.035560 Loss_D_fake -0.016157
[1473/5000][520/535][152062] Loss_D: -0.018962 Loss_G: 0.007360 Loss_D_real: -0.015154 Loss_D_fake 0.003808
[1473/5000][525/535][152063] Loss_D: -0.019826 Loss_G: -0.012555 Loss_D_real: -0.012156 Loss_D_fake 0.007670
[1473/5000][530/535][152064] Loss_D: -0.019645 Loss_G: 0.023253 Loss_D_real: -0.032790 Loss_D_fake -0.013145
[1473/5000][535/535][152065] Loss_D: -0.017089 Loss_G: 0.006630 Loss_D_real: -0.015612 Loss_D_fake 0.001476
[1474/5000][5/535][152066] Loss_D: -0.020477 Loss_G: 0.024268 Loss_D_real: -0.021410 Loss_D_fake -0.000933
[1474/5000][10/535][152067] Loss_D: -0.020622 Loss_G: 0.002500 Loss_D_real: -0.011544 Loss_D_fake 0.009078
[1474/5000][15/535][152068] Loss_D: -0.019588 Loss_G: 0.002870 Loss_D_real: -0.015861 Loss_D_fake 0.003727
[1474/5000][20/535][152069] Loss_D: -0.018069 Loss_G: 0.019326 Loss_D_real: -0.043254 Loss_D_fake -0.025185
[1474/5000][25/535][152070] Loss_D: -0.019914 Loss_G: 0.030164 Loss_D_real: -0.022777 Loss_D_fake -0.002862
[1474/5000][30/535][152071] Loss_D: -0.019063 Loss_G: -0.013510 Loss_D_real: -0.012707 Loss_D_fake 0.006356
[1474/5000][35/535][152072] Loss_D: -0.020160 Loss_G: 0.001194 Loss_D_real: -0.023591 Loss_D_fake -0.003430
[1474/5000][40/535][152073] Loss_D: -0.019409 Loss_G: 0.012076 Loss_D_real: -0.010705 Loss_D_fake 0.008705
[1474/5000][45/535][152074] Loss_D: -0.019899 Loss_G: 0.009704 Loss_D_real: -0.023597 Loss_D_fake -0.003697
[1474/5000][50/535][152075] Loss_D: -0.018372 Loss_G: -0.001877 Loss_D_real: 0.014420 Loss_D_fake 0.032792
[1474/5000][55/535][152076] Loss_D: -0.019465 Loss_G: -0.000531 Loss_D_real: -0.005598 Loss_D_fake 0.013867
[1474/5000][60/535][152077] Loss_D: -0.020100 Loss_G: 0.011889 Loss_D_real: -0.025600 Loss_D_fake -0.005500
[1474/5000][65/535][152078] Loss_D: -0.020634 Loss_G: 0.004435 Loss_D_real: -0.016599 Loss_D_fake 0.004035
[1474/5000][70/535][152079] Loss_D: -0.020016 Loss_G: -0.002531 Loss_D_real: -0.008310 Loss_D_fake 0.011705
[1474/5000][75/535][152080] Loss_D: -0.020097 Loss_G: -0.000209 Loss_D_real: -0.009750 Loss_D_fake 0.010347
[1474/5000][80/535][152081] Loss_D: -0.019423 Loss_G: 0.003196 Loss_D_real: -0.021468 Loss_D_fake -0.002044
[1474/5000][85/535][152082] Loss_D: -0.019883 Loss_G: -0.008047 Loss_D_real: 0.001693 Loss_D_fake 0.021577
[1474/5000][90/535][152083] Loss_D: -0.019364 Loss_G: -0.000137 Loss_D_real: -0.011707 Loss_D_fake 0.007657
[1474/5000][95/535][152084] Loss_D: -0.020571 Loss_G: -0.005416 Loss_D_real: -0.014893 Loss_D_fake 0.005678
[1474/5000][100/535][152085] Loss_D: -0.021848 Loss_G: 0.016557 Loss_D_real: -0.016349 Loss_D_fake 0.005500
[1474/5000][105/535][152086] Loss_D: -0.020149 Loss_G: 0.030943 Loss_D_real: -0.024237 Loss_D_fake -0.004088
[1474/5000][110/535][152087] Loss_D: -0.019539 Loss_G: -0.008624 Loss_D_real: -0.001988 Loss_D_fake 0.017551
[1474/5000][115/535][152088] Loss_D: -0.019447 Loss_G: 0.017943 Loss_D_real: -0.021961 Loss_D_fake -0.002514
[1474/5000][120/535][152089] Loss_D: -0.019460 Loss_G: 0.004616 Loss_D_real: -0.009530 Loss_D_fake 0.009930
[1474/5000][125/535][152090] Loss_D: -0.019059 Loss_G: -0.007110 Loss_D_real: -0.019678 Loss_D_fake -0.000619
[1474/5000][130/535][152091] Loss_D: -0.020554 Loss_G: 0.002749 Loss_D_real: -0.017789 Loss_D_fake 0.002765
[1474/5000][135/535][152092] Loss_D: -0.020432 Loss_G: 0.016112 Loss_D_real: -0.011350 Loss_D_fake 0.009082
[1474/5000][140/535][152093] Loss_D: -0.020914 Loss_G: 0.013421 Loss_D_real: -0.030444 Loss_D_fake -0.009530
[1474/5000][145/535][152094] Loss_D: -0.020805 Loss_G: -0.001437 Loss_D_real: 0.001063 Loss_D_fake 0.021868
[1474/5000][150/535][152095] Loss_D: -0.020140 Loss_G: 0.012634 Loss_D_real: -0.018591 Loss_D_fake 0.001548
[1474/5000][155/535][152096] Loss_D: -0.020521 Loss_G: 0.012811 Loss_D_real: -0.020477 Loss_D_fake 0.000044
[1474/5000][160/535][152097] Loss_D: -0.021797 Loss_G: 0.018600 Loss_D_real: -0.022430 Loss_D_fake -0.000633
[1474/5000][165/535][152098] Loss_D: -0.019107 Loss_G: 0.023125 Loss_D_real: -0.023071 Loss_D_fake -0.003964
[1474/5000][170/535][152099] Loss_D: -0.020496 Loss_G: 0.024274 Loss_D_real: -0.029977 Loss_D_fake -0.009481
[1474/5000][175/535][152100] Loss_D: -0.022177 Loss_G: -0.004479 Loss_D_real: -0.014267 Loss_D_fake 0.007910
[1474/5000][180/535][152101] Loss_D: -0.020147 Loss_G: 0.011797 Loss_D_real: -0.019537 Loss_D_fake 0.000610
[1474/5000][185/535][152102] Loss_D: -0.020365 Loss_G: -0.002499 Loss_D_real: -0.006354 Loss_D_fake 0.014011
[1474/5000][190/535][152103] Loss_D: -0.019451 Loss_G: 0.029196 Loss_D_real: -0.029083 Loss_D_fake -0.009632
[1474/5000][195/535][152104] Loss_D: -0.020038 Loss_G: 0.010477 Loss_D_real: -0.030017 Loss_D_fake -0.009978
[1474/5000][200/535][152105] Loss_D: -0.020547 Loss_G: -0.002704 Loss_D_real: -0.010662 Loss_D_fake 0.009885
[1474/5000][205/535][152106] Loss_D: -0.020339 Loss_G: 0.027460 Loss_D_real: -0.021070 Loss_D_fake -0.000731
[1474/5000][210/535][152107] Loss_D: -0.020820 Loss_G: 0.007326 Loss_D_real: -0.012774 Loss_D_fake 0.008046
[1474/5000][215/535][152108] Loss_D: -0.020453 Loss_G: 0.001123 Loss_D_real: -0.010074 Loss_D_fake 0.010379
[1474/5000][220/535][152109] Loss_D: -0.018914 Loss_G: 0.013626 Loss_D_real: -0.022123 Loss_D_fake -0.003209
[1474/5000][225/535][152110] Loss_D: -0.019907 Loss_G: 0.009344 Loss_D_real: -0.035163 Loss_D_fake -0.015257
[1474/5000][230/535][152111] Loss_D: -0.020718 Loss_G: -0.006744 Loss_D_real: -0.010487 Loss_D_fake 0.010231
[1474/5000][235/535][152112] Loss_D: -0.019582 Loss_G: 0.014495 Loss_D_real: -0.024188 Loss_D_fake -0.004606
[1474/5000][240/535][152113] Loss_D: -0.020366 Loss_G: 0.004226 Loss_D_real: -0.021738 Loss_D_fake -0.001371
[1474/5000][245/535][152114] Loss_D: -0.020778 Loss_G: 0.000174 Loss_D_real: -0.010463 Loss_D_fake 0.010316
[1474/5000][250/535][152115] Loss_D: -0.019588 Loss_G: 0.005835 Loss_D_real: -0.020235 Loss_D_fake -0.000647
[1474/5000][255/535][152116] Loss_D: -0.019715 Loss_G: 0.018440 Loss_D_real: -0.020146 Loss_D_fake -0.000431
[1474/5000][260/535][152117] Loss_D: -0.019321 Loss_G: 0.002804 Loss_D_real: -0.012046 Loss_D_fake 0.007276
[1474/5000][265/535][152118] Loss_D: -0.019680 Loss_G: 0.013343 Loss_D_real: -0.020967 Loss_D_fake -0.001287
[1474/5000][270/535][152119] Loss_D: -0.019921 Loss_G: 0.019022 Loss_D_real: -0.021062 Loss_D_fake -0.001141
[1474/5000][275/535][152120] Loss_D: -0.020532 Loss_G: -0.007729 Loss_D_real: -0.005219 Loss_D_fake 0.015313
[1474/5000][280/535][152121] Loss_D: -0.021044 Loss_G: -0.000761 Loss_D_real: -0.019167 Loss_D_fake 0.001877
[1474/5000][285/535][152122] Loss_D: -0.021381 Loss_G: -0.005222 Loss_D_real: -0.013936 Loss_D_fake 0.007445
[1474/5000][290/535][152123] Loss_D: -0.021717 Loss_G: 0.016215 Loss_D_real: -0.013493 Loss_D_fake 0.008224
[1474/5000][295/535][152124] Loss_D: -0.021251 Loss_G: 0.001558 Loss_D_real: -0.016570 Loss_D_fake 0.004681
[1474/5000][300/535][152125] Loss_D: -0.021280 Loss_G: 0.009008 Loss_D_real: -0.027705 Loss_D_fake -0.006425
[1474/5000][305/535][152126] Loss_D: -0.019234 Loss_G: -0.003059 Loss_D_real: -0.002831 Loss_D_fake 0.016403
[1474/5000][310/535][152127] Loss_D: -0.019447 Loss_G: -0.000825 Loss_D_real: -0.011507 Loss_D_fake 0.007939
[1474/5000][315/535][152128] Loss_D: -0.018824 Loss_G: 0.012439 Loss_D_real: -0.011473 Loss_D_fake 0.007351
[1474/5000][320/535][152129] Loss_D: -0.019744 Loss_G: 0.013267 Loss_D_real: -0.017563 Loss_D_fake 0.002181
[1474/5000][325/535][152130] Loss_D: -0.018597 Loss_G: 0.018646 Loss_D_real: -0.029223 Loss_D_fake -0.010626
[1474/5000][330/535][152131] Loss_D: -0.020063 Loss_G: 0.005482 Loss_D_real: -0.002099 Loss_D_fake 0.017964
[1474/5000][335/535][152132] Loss_D: -0.019044 Loss_G: 0.016575 Loss_D_real: -0.013692 Loss_D_fake 0.005353
[1474/5000][340/535][152133] Loss_D: -0.020653 Loss_G: -0.003215 Loss_D_real: -0.020525 Loss_D_fake 0.000128
[1474/5000][345/535][152134] Loss_D: -0.019663 Loss_G: 0.014255 Loss_D_real: -0.019000 Loss_D_fake 0.000664
[1474/5000][350/535][152135] Loss_D: -0.017879 Loss_G: 0.015832 Loss_D_real: -0.023723 Loss_D_fake -0.005845
[1474/5000][355/535][152136] Loss_D: -0.018793 Loss_G: 0.015713 Loss_D_real: -0.023490 Loss_D_fake -0.004697
[1474/5000][360/535][152137] Loss_D: -0.021182 Loss_G: 0.004023 Loss_D_real: -0.012461 Loss_D_fake 0.008721
[1474/5000][365/535][152138] Loss_D: -0.019381 Loss_G: -0.011786 Loss_D_real: -0.006307 Loss_D_fake 0.013074
[1474/5000][370/535][152139] Loss_D: -0.017962 Loss_G: 0.032027 Loss_D_real: -0.034458 Loss_D_fake -0.016496
[1474/5000][375/535][152140] Loss_D: -0.019289 Loss_G: 0.012814 Loss_D_real: -0.024297 Loss_D_fake -0.005009
[1474/5000][380/535][152141] Loss_D: -0.020063 Loss_G: 0.016733 Loss_D_real: -0.021850 Loss_D_fake -0.001786
[1474/5000][385/535][152142] Loss_D: -0.019186 Loss_G: -0.008505 Loss_D_real: -0.006956 Loss_D_fake 0.012230
[1474/5000][390/535][152143] Loss_D: -0.018001 Loss_G: 0.016134 Loss_D_real: -0.032300 Loss_D_fake -0.014299
[1474/5000][395/535][152144] Loss_D: -0.019868 Loss_G: -0.008612 Loss_D_real: -0.016225 Loss_D_fake 0.003643
[1474/5000][400/535][152145] Loss_D: -0.020403 Loss_G: -0.014787 Loss_D_real: -0.010421 Loss_D_fake 0.009982
[1474/5000][405/535][152146] Loss_D: -0.019863 Loss_G: -0.007557 Loss_D_real: -0.009188 Loss_D_fake 0.010676
[1474/5000][410/535][152147] Loss_D: -0.020410 Loss_G: 0.006600 Loss_D_real: -0.008699 Loss_D_fake 0.011711
[1474/5000][415/535][152148] Loss_D: -0.019358 Loss_G: 0.011345 Loss_D_real: -0.018695 Loss_D_fake 0.000663
[1474/5000][420/535][152149] Loss_D: -0.019583 Loss_G: 0.024128 Loss_D_real: -0.025424 Loss_D_fake -0.005841
[1474/5000][425/535][152150] Loss_D: -0.021085 Loss_G: 0.003224 Loss_D_real: -0.012937 Loss_D_fake 0.008148
[1474/5000][430/535][152151] Loss_D: -0.019516 Loss_G: 0.005573 Loss_D_real: -0.007954 Loss_D_fake 0.011562
[1474/5000][435/535][152152] Loss_D: -0.020434 Loss_G: 0.012619 Loss_D_real: -0.022595 Loss_D_fake -0.002162
[1474/5000][440/535][152153] Loss_D: -0.020754 Loss_G: 0.010951 Loss_D_real: -0.005711 Loss_D_fake 0.015043
[1474/5000][445/535][152154] Loss_D: -0.020313 Loss_G: 0.001499 Loss_D_real: -0.010964 Loss_D_fake 0.009349
[1474/5000][450/535][152155] Loss_D: -0.019320 Loss_G: 0.026438 Loss_D_real: -0.028114 Loss_D_fake -0.008794
[1474/5000][455/535][152156] Loss_D: -0.021335 Loss_G: 0.013418 Loss_D_real: -0.028284 Loss_D_fake -0.006949
[1474/5000][460/535][152157] Loss_D: -0.020735 Loss_G: 0.010039 Loss_D_real: -0.018809 Loss_D_fake 0.001926
[1474/5000][465/535][152158] Loss_D: -0.020674 Loss_G: 0.020182 Loss_D_real: -0.013588 Loss_D_fake 0.007086
[1474/5000][470/535][152159] Loss_D: -0.019485 Loss_G: 0.008021 Loss_D_real: -0.015280 Loss_D_fake 0.004206
[1474/5000][475/535][152160] Loss_D: -0.020010 Loss_G: -0.000531 Loss_D_real: -0.020189 Loss_D_fake -0.000179
[1474/5000][480/535][152161] Loss_D: -0.020865 Loss_G: 0.001809 Loss_D_real: -0.009822 Loss_D_fake 0.011043
[1474/5000][485/535][152162] Loss_D: -0.020522 Loss_G: 0.009131 Loss_D_real: -0.016106 Loss_D_fake 0.004416
[1474/5000][490/535][152163] Loss_D: -0.020623 Loss_G: -0.008221 Loss_D_real: -0.010179 Loss_D_fake 0.010444
[1474/5000][495/535][152164] Loss_D: -0.019948 Loss_G: 0.003798 Loss_D_real: -0.023303 Loss_D_fake -0.003355
[1474/5000][500/535][152165] Loss_D: -0.019522 Loss_G: -0.002594 Loss_D_real: -0.022356 Loss_D_fake -0.002833
[1474/5000][505/535][152166] Loss_D: -0.019117 Loss_G: 0.017906 Loss_D_real: -0.022374 Loss_D_fake -0.003257
[1474/5000][510/535][152167] Loss_D: -0.021008 Loss_G: 0.006667 Loss_D_real: -0.014844 Loss_D_fake 0.006164
[1474/5000][515/535][152168] Loss_D: -0.018507 Loss_G: 0.021933 Loss_D_real: -0.025370 Loss_D_fake -0.006863
[1474/5000][520/535][152169] Loss_D: -0.019418 Loss_G: 0.015591 Loss_D_real: -0.022567 Loss_D_fake -0.003149
[1474/5000][525/535][152170] Loss_D: -0.019808 Loss_G: 0.011198 Loss_D_real: -0.011645 Loss_D_fake 0.008163
[1474/5000][530/535][152171] Loss_D: -0.019227 Loss_G: 0.017408 Loss_D_real: -0.030508 Loss_D_fake -0.011281
[1474/5000][535/535][152172] Loss_D: -0.017600 Loss_G: 0.021213 Loss_D_real: -0.015178 Loss_D_fake 0.002422
[1475/5000][5/535][152173] Loss_D: -0.017719 Loss_G: -0.013953 Loss_D_real: 0.003697 Loss_D_fake 0.021416
[1475/5000][10/535][152174] Loss_D: -0.018793 Loss_G: -0.006579 Loss_D_real: -0.011763 Loss_D_fake 0.007029
[1475/5000][15/535][152175] Loss_D: -0.019289 Loss_G: -0.003112 Loss_D_real: -0.006189 Loss_D_fake 0.013100
[1475/5000][20/535][152176] Loss_D: -0.020016 Loss_G: 0.000320 Loss_D_real: -0.015716 Loss_D_fake 0.004301
[1475/5000][25/535][152177] Loss_D: -0.020267 Loss_G: 0.016172 Loss_D_real: -0.020303 Loss_D_fake -0.000035
[1475/5000][30/535][152178] Loss_D: -0.019124 Loss_G: -0.007935 Loss_D_real: 0.005766 Loss_D_fake 0.024890
[1475/5000][35/535][152179] Loss_D: -0.020524 Loss_G: 0.020275 Loss_D_real: -0.018339 Loss_D_fake 0.002185
[1475/5000][40/535][152180] Loss_D: -0.019988 Loss_G: 0.001073 Loss_D_real: -0.024110 Loss_D_fake -0.004122
[1475/5000][45/535][152181] Loss_D: -0.020038 Loss_G: -0.006548 Loss_D_real: -0.005748 Loss_D_fake 0.014289
[1475/5000][50/535][152182] Loss_D: -0.020718 Loss_G: 0.011250 Loss_D_real: -0.018570 Loss_D_fake 0.002148
[1475/5000][55/535][152183] Loss_D: -0.020867 Loss_G: 0.016791 Loss_D_real: -0.023386 Loss_D_fake -0.002519
[1475/5000][60/535][152184] Loss_D: -0.020509 Loss_G: 0.009993 Loss_D_real: -0.025704 Loss_D_fake -0.005195
[1475/5000][65/535][152185] Loss_D: -0.020092 Loss_G: -0.003036 Loss_D_real: -0.015803 Loss_D_fake 0.004289
[1475/5000][70/535][152186] Loss_D: -0.019991 Loss_G: 0.002440 Loss_D_real: -0.014343 Loss_D_fake 0.005647
[1475/5000][75/535][152187] Loss_D: -0.020608 Loss_G: 0.016970 Loss_D_real: -0.008793 Loss_D_fake 0.011815
[1475/5000][80/535][152188] Loss_D: -0.020235 Loss_G: 0.015276 Loss_D_real: -0.022830 Loss_D_fake -0.002596
[1475/5000][85/535][152189] Loss_D: -0.021006 Loss_G: 0.011978 Loss_D_real: -0.017697 Loss_D_fake 0.003309
[1475/5000][90/535][152190] Loss_D: -0.021710 Loss_G: 0.001567 Loss_D_real: -0.005156 Loss_D_fake 0.016554
[1475/5000][95/535][152191] Loss_D: -0.020435 Loss_G: 0.006769 Loss_D_real: -0.009339 Loss_D_fake 0.011096
[1475/5000][100/535][152192] Loss_D: -0.019545 Loss_G: -0.009231 Loss_D_real: -0.008571 Loss_D_fake 0.010974
[1475/5000][105/535][152193] Loss_D: -0.019082 Loss_G: 0.020369 Loss_D_real: -0.013436 Loss_D_fake 0.005646
[1475/5000][110/535][152194] Loss_D: -0.020546 Loss_G: 0.024660 Loss_D_real: -0.031151 Loss_D_fake -0.010605
[1475/5000][115/535][152195] Loss_D: -0.019396 Loss_G: 0.014129 Loss_D_real: -0.018141 Loss_D_fake 0.001255
[1475/5000][120/535][152196] Loss_D: -0.019066 Loss_G: -0.000340 Loss_D_real: -0.008312 Loss_D_fake 0.010754
[1475/5000][125/535][152197] Loss_D: -0.020229 Loss_G: -0.007282 Loss_D_real: -0.013276 Loss_D_fake 0.006953
[1475/5000][130/535][152198] Loss_D: -0.020704 Loss_G: 0.011000 Loss_D_real: -0.014051 Loss_D_fake 0.006653
[1475/5000][135/535][152199] Loss_D: -0.019005 Loss_G: 0.014268 Loss_D_real: -0.034570 Loss_D_fake -0.015565
[1475/5000][140/535][152200] Loss_D: -0.019905 Loss_G: 0.006683 Loss_D_real: -0.018039 Loss_D_fake 0.001866
[1475/5000][145/535][152201] Loss_D: -0.021032 Loss_G: 0.007626 Loss_D_real: -0.012273 Loss_D_fake 0.008759
[1475/5000][150/535][152202] Loss_D: -0.019323 Loss_G: -0.010755 Loss_D_real: 0.001746 Loss_D_fake 0.021069
[1475/5000][155/535][152203] Loss_D: -0.021312 Loss_G: -0.007897 Loss_D_real: -0.023105 Loss_D_fake -0.001793
[1475/5000][160/535][152204] Loss_D: -0.020324 Loss_G: 0.014583 Loss_D_real: -0.007410 Loss_D_fake 0.012914
[1475/5000][165/535][152205] Loss_D: -0.021359 Loss_G: 0.014943 Loss_D_real: -0.013103 Loss_D_fake 0.008255
[1475/5000][170/535][152206] Loss_D: -0.021540 Loss_G: 0.011907 Loss_D_real: -0.018702 Loss_D_fake 0.002838
[1475/5000][175/535][152207] Loss_D: -0.019948 Loss_G: -0.010367 Loss_D_real: -0.006308 Loss_D_fake 0.013639
[1475/5000][180/535][152208] Loss_D: -0.018292 Loss_G: 0.019521 Loss_D_real: -0.016005 Loss_D_fake 0.002287
[1475/5000][185/535][152209] Loss_D: -0.020353 Loss_G: -0.006936 Loss_D_real: -0.008752 Loss_D_fake 0.011601
[1475/5000][190/535][152210] Loss_D: -0.020084 Loss_G: 0.009760 Loss_D_real: -0.017358 Loss_D_fake 0.002726
[1475/5000][195/535][152211] Loss_D: -0.018737 Loss_G: 0.024877 Loss_D_real: -0.024576 Loss_D_fake -0.005838
[1475/5000][200/535][152212] Loss_D: -0.018974 Loss_G: 0.008757 Loss_D_real: -0.025720 Loss_D_fake -0.006746
[1475/5000][205/535][152213] Loss_D: -0.020944 Loss_G: 0.005991 Loss_D_real: -0.024010 Loss_D_fake -0.003066
[1475/5000][210/535][152214] Loss_D: -0.020087 Loss_G: 0.006689 Loss_D_real: -0.011255 Loss_D_fake 0.008832
[1475/5000][215/535][152215] Loss_D: -0.020056 Loss_G: 0.002447 Loss_D_real: -0.021838 Loss_D_fake -0.001782
[1475/5000][220/535][152216] Loss_D: -0.019966 Loss_G: -0.004081 Loss_D_real: -0.014507 Loss_D_fake 0.005459
[1475/5000][225/535][152217] Loss_D: -0.019170 Loss_G: 0.025511 Loss_D_real: -0.017330 Loss_D_fake 0.001840
[1475/5000][230/535][152218] Loss_D: -0.019780 Loss_G: 0.017288 Loss_D_real: -0.014229 Loss_D_fake 0.005551
[1475/5000][235/535][152219] Loss_D: -0.018355 Loss_G: 0.017862 Loss_D_real: -0.018390 Loss_D_fake -0.000035
[1475/5000][240/535][152220] Loss_D: -0.021023 Loss_G: -0.001493 Loss_D_real: -0.013232 Loss_D_fake 0.007791
[1475/5000][245/535][152221] Loss_D: -0.021413 Loss_G: -0.000359 Loss_D_real: -0.020212 Loss_D_fake 0.001201
[1475/5000][250/535][152222] Loss_D: -0.019951 Loss_G: 0.023226 Loss_D_real: -0.032102 Loss_D_fake -0.012152
[1475/5000][255/535][152223] Loss_D: -0.019308 Loss_G: 0.007410 Loss_D_real: -0.017498 Loss_D_fake 0.001811
[1475/5000][260/535][152224] Loss_D: -0.020168 Loss_G: -0.000675 Loss_D_real: -0.004578 Loss_D_fake 0.015591
[1475/5000][265/535][152225] Loss_D: -0.020453 Loss_G: -0.000839 Loss_D_real: -0.017722 Loss_D_fake 0.002731
[1475/5000][270/535][152226] Loss_D: -0.020230 Loss_G: 0.016554 Loss_D_real: -0.003742 Loss_D_fake 0.016488
[1475/5000][275/535][152227] Loss_D: -0.018637 Loss_G: 0.001879 Loss_D_real: -0.014924 Loss_D_fake 0.003713
[1475/5000][280/535][152228] Loss_D: -0.019650 Loss_G: 0.023095 Loss_D_real: -0.031105 Loss_D_fake -0.011456
[1475/5000][285/535][152229] Loss_D: -0.019388 Loss_G: 0.004996 Loss_D_real: -0.010084 Loss_D_fake 0.009304
[1475/5000][290/535][152230] Loss_D: -0.020503 Loss_G: 0.008401 Loss_D_real: -0.023267 Loss_D_fake -0.002763
[1475/5000][295/535][152231] Loss_D: -0.020228 Loss_G: 0.003750 Loss_D_real: -0.019362 Loss_D_fake 0.000866
[1475/5000][300/535][152232] Loss_D: -0.019791 Loss_G: -0.010981 Loss_D_real: -0.009602 Loss_D_fake 0.010190
[1475/5000][305/535][152233] Loss_D: -0.020527 Loss_G: 0.012863 Loss_D_real: -0.014770 Loss_D_fake 0.005757
[1475/5000][310/535][152234] Loss_D: -0.019969 Loss_G: 0.010050 Loss_D_real: -0.014895 Loss_D_fake 0.005074
[1475/5000][315/535][152235] Loss_D: -0.018898 Loss_G: 0.009176 Loss_D_real: -0.020075 Loss_D_fake -0.001177
[1475/5000][320/535][152236] Loss_D: -0.019430 Loss_G: 0.004708 Loss_D_real: -0.000741 Loss_D_fake 0.018688
[1475/5000][325/535][152237] Loss_D: -0.020314 Loss_G: -0.001575 Loss_D_real: -0.007586 Loss_D_fake 0.012728
[1475/5000][330/535][152238] Loss_D: -0.018899 Loss_G: 0.027668 Loss_D_real: -0.030698 Loss_D_fake -0.011799
[1475/5000][335/535][152239] Loss_D: -0.019059 Loss_G: -0.011146 Loss_D_real: -0.008914 Loss_D_fake 0.010145
[1475/5000][340/535][152240] Loss_D: -0.019949 Loss_G: 0.009773 Loss_D_real: -0.016722 Loss_D_fake 0.003227
[1475/5000][345/535][152241] Loss_D: -0.019773 Loss_G: 0.005234 Loss_D_real: -0.009039 Loss_D_fake 0.010734
[1475/5000][350/535][152242] Loss_D: -0.020587 Loss_G: -0.005427 Loss_D_real: -0.007542 Loss_D_fake 0.013045
[1475/5000][355/535][152243] Loss_D: -0.020544 Loss_G: 0.003195 Loss_D_real: -0.022589 Loss_D_fake -0.002045
[1475/5000][360/535][152244] Loss_D: -0.020175 Loss_G: -0.007371 Loss_D_real: -0.004207 Loss_D_fake 0.015968
[1475/5000][365/535][152245] Loss_D: -0.020950 Loss_G: 0.030670 Loss_D_real: -0.029883 Loss_D_fake -0.008933
[1475/5000][370/535][152246] Loss_D: -0.020240 Loss_G: 0.011600 Loss_D_real: -0.001595 Loss_D_fake 0.018645
[1475/5000][375/535][152247] Loss_D: -0.020325 Loss_G: 0.013310 Loss_D_real: -0.019314 Loss_D_fake 0.001011
[1475/5000][380/535][152248] Loss_D: -0.019964 Loss_G: -0.004842 Loss_D_real: -0.012743 Loss_D_fake 0.007221
[1475/5000][385/535][152249] Loss_D: -0.020312 Loss_G: 0.007746 Loss_D_real: -0.012045 Loss_D_fake 0.008266
[1475/5000][390/535][152250] Loss_D: -0.021553 Loss_G: -0.004824 Loss_D_real: -0.017603 Loss_D_fake 0.003951
[1475/5000][395/535][152251] Loss_D: -0.019605 Loss_G: 0.005058 Loss_D_real: -0.004905 Loss_D_fake 0.014700
[1475/5000][400/535][152252] Loss_D: -0.019439 Loss_G: 0.012482 Loss_D_real: -0.018590 Loss_D_fake 0.000849
[1475/5000][405/535][152253] Loss_D: -0.020263 Loss_G: 0.015437 Loss_D_real: -0.018212 Loss_D_fake 0.002051
[1475/5000][410/535][152254] Loss_D: -0.020568 Loss_G: 0.015073 Loss_D_real: -0.035066 Loss_D_fake -0.014498
[1475/5000][415/535][152255] Loss_D: -0.020458 Loss_G: 0.010913 Loss_D_real: -0.011249 Loss_D_fake 0.009209
[1475/5000][420/535][152256] Loss_D: -0.020042 Loss_G: 0.002934 Loss_D_real: -0.013878 Loss_D_fake 0.006164
[1475/5000][425/535][152257] Loss_D: -0.019744 Loss_G: 0.016703 Loss_D_real: -0.021761 Loss_D_fake -0.002017
[1475/5000][430/535][152258] Loss_D: -0.019336 Loss_G: 0.025222 Loss_D_real: -0.023613 Loss_D_fake -0.004277
[1475/5000][435/535][152259] Loss_D: -0.019654 Loss_G: 0.014877 Loss_D_real: -0.012123 Loss_D_fake 0.007531
[1475/5000][440/535][152260] Loss_D: -0.017740 Loss_G: 0.013348 Loss_D_real: -0.012962 Loss_D_fake 0.004778
[1475/5000][445/535][152261] Loss_D: -0.019830 Loss_G: 0.007263 Loss_D_real: -0.025565 Loss_D_fake -0.005735
[1475/5000][450/535][152262] Loss_D: -0.019302 Loss_G: 0.014723 Loss_D_real: -0.029617 Loss_D_fake -0.010315
[1475/5000][455/535][152263] Loss_D: -0.020966 Loss_G: 0.009356 Loss_D_real: -0.021842 Loss_D_fake -0.000875
[1475/5000][460/535][152264] Loss_D: -0.022100 Loss_G: 0.013459 Loss_D_real: -0.014050 Loss_D_fake 0.008050
[1475/5000][465/535][152265] Loss_D: -0.020321 Loss_G: 0.005109 Loss_D_real: -0.013675 Loss_D_fake 0.006646
[1475/5000][470/535][152266] Loss_D: -0.019674 Loss_G: 0.008952 Loss_D_real: -0.005890 Loss_D_fake 0.013783
[1475/5000][475/535][152267] Loss_D: -0.020872 Loss_G: 0.003097 Loss_D_real: -0.028507 Loss_D_fake -0.007635
[1475/5000][480/535][152268] Loss_D: -0.017739 Loss_G: -0.005531 Loss_D_real: -0.005892 Loss_D_fake 0.011848
[1475/5000][485/535][152269] Loss_D: -0.019063 Loss_G: 0.002694 Loss_D_real: -0.006895 Loss_D_fake 0.012168
[1475/5000][490/535][152270] Loss_D: -0.018889 Loss_G: 0.014061 Loss_D_real: -0.009914 Loss_D_fake 0.008974
[1475/5000][495/535][152271] Loss_D: -0.019884 Loss_G: 0.004145 Loss_D_real: -0.007228 Loss_D_fake 0.012655
[1475/5000][500/535][152272] Loss_D: -0.019090 Loss_G: 0.017659 Loss_D_real: -0.025876 Loss_D_fake -0.006787
[1475/5000][505/535][152273] Loss_D: -0.019827 Loss_G: -0.004596 Loss_D_real: -0.019930 Loss_D_fake -0.000104
[1475/5000][510/535][152274] Loss_D: -0.019731 Loss_G: -0.006605 Loss_D_real: -0.009340 Loss_D_fake 0.010391
[1475/5000][515/535][152275] Loss_D: -0.018811 Loss_G: 0.001809 Loss_D_real: -0.009757 Loss_D_fake 0.009054
[1475/5000][520/535][152276] Loss_D: -0.019829 Loss_G: 0.007471 Loss_D_real: -0.019750 Loss_D_fake 0.000080
[1475/5000][525/535][152277] Loss_D: -0.021200 Loss_G: 0.010995 Loss_D_real: -0.004561 Loss_D_fake 0.016638
[1475/5000][530/535][152278] Loss_D: -0.020187 Loss_G: 0.020625 Loss_D_real: -0.012792 Loss_D_fake 0.007394
[1475/5000][535/535][152279] Loss_D: -0.021420 Loss_G: 0.013797 Loss_D_real: -0.018236 Loss_D_fake 0.003184
[1476/5000][5/535][152280] Loss_D: -0.020904 Loss_G: 0.000867 Loss_D_real: -0.027728 Loss_D_fake -0.006824
[1476/5000][10/535][152281] Loss_D: -0.020620 Loss_G: 0.014743 Loss_D_real: -0.027808 Loss_D_fake -0.007188
[1476/5000][15/535][152282] Loss_D: -0.021841 Loss_G: -0.007210 Loss_D_real: -0.019233 Loss_D_fake 0.002608
[1476/5000][20/535][152283] Loss_D: -0.021541 Loss_G: 0.017150 Loss_D_real: -0.021114 Loss_D_fake 0.000427
[1476/5000][25/535][152284] Loss_D: -0.021280 Loss_G: 0.028874 Loss_D_real: -0.020118 Loss_D_fake 0.001162
[1476/5000][30/535][152285] Loss_D: -0.020372 Loss_G: -0.015751 Loss_D_real: -0.002342 Loss_D_fake 0.018030
[1476/5000][35/535][152286] Loss_D: -0.019630 Loss_G: 0.003799 Loss_D_real: -0.014054 Loss_D_fake 0.005576
[1476/5000][40/535][152287] Loss_D: -0.019642 Loss_G: -0.012676 Loss_D_real: -0.000587 Loss_D_fake 0.019055
[1476/5000][45/535][152288] Loss_D: -0.019256 Loss_G: 0.020966 Loss_D_real: -0.018631 Loss_D_fake 0.000626
[1476/5000][50/535][152289] Loss_D: -0.019673 Loss_G: 0.002988 Loss_D_real: -0.016192 Loss_D_fake 0.003481
[1476/5000][55/535][152290] Loss_D: -0.019726 Loss_G: 0.017265 Loss_D_real: -0.021150 Loss_D_fake -0.001424
[1476/5000][60/535][152291] Loss_D: -0.019463 Loss_G: 0.013095 Loss_D_real: -0.028595 Loss_D_fake -0.009131
[1476/5000][65/535][152292] Loss_D: -0.019945 Loss_G: 0.010395 Loss_D_real: -0.021384 Loss_D_fake -0.001439
[1476/5000][70/535][152293] Loss_D: -0.020335 Loss_G: 0.009179 Loss_D_real: -0.008465 Loss_D_fake 0.011870
[1476/5000][75/535][152294] Loss_D: -0.018679 Loss_G: 0.018615 Loss_D_real: -0.024107 Loss_D_fake -0.005428
[1476/5000][80/535][152295] Loss_D: -0.020755 Loss_G: 0.020264 Loss_D_real: -0.026983 Loss_D_fake -0.006228
[1476/5000][85/535][152296] Loss_D: -0.019859 Loss_G: 0.016984 Loss_D_real: -0.019302 Loss_D_fake 0.000556
[1476/5000][90/535][152297] Loss_D: -0.020339 Loss_G: 0.012166 Loss_D_real: -0.038721 Loss_D_fake -0.018381
[1476/5000][95/535][152298] Loss_D: -0.019600 Loss_G: 0.010701 Loss_D_real: -0.018218 Loss_D_fake 0.001383
[1476/5000][100/535][152299] Loss_D: -0.020380 Loss_G: 0.026651 Loss_D_real: -0.035532 Loss_D_fake -0.015153
[1476/5000][105/535][152300] Loss_D: -0.021183 Loss_G: -0.003328 Loss_D_real: -0.015681 Loss_D_fake 0.005503
[1476/5000][110/535][152301] Loss_D: -0.019162 Loss_G: 0.019195 Loss_D_real: -0.029279 Loss_D_fake -0.010117
[1476/5000][115/535][152302] Loss_D: -0.021343 Loss_G: 0.012858 Loss_D_real: -0.018194 Loss_D_fake 0.003149
[1476/5000][120/535][152303] Loss_D: -0.020656 Loss_G: 0.000961 Loss_D_real: -0.008454 Loss_D_fake 0.012202
[1476/5000][125/535][152304] Loss_D: -0.021888 Loss_G: 0.013760 Loss_D_real: -0.030470 Loss_D_fake -0.008582
[1476/5000][130/535][152305] Loss_D: -0.021271 Loss_G: 0.001175 Loss_D_real: -0.003364 Loss_D_fake 0.017907
[1476/5000][135/535][152306] Loss_D: -0.018511 Loss_G: -0.017339 Loss_D_real: 0.004231 Loss_D_fake 0.022742
[1476/5000][140/535][152307] Loss_D: -0.020599 Loss_G: 0.002955 Loss_D_real: -0.005577 Loss_D_fake 0.015022
[1476/5000][145/535][152308] Loss_D: -0.019840 Loss_G: -0.011493 Loss_D_real: -0.009474 Loss_D_fake 0.010366
[1476/5000][150/535][152309] Loss_D: -0.019223 Loss_G: -0.008442 Loss_D_real: -0.014163 Loss_D_fake 0.005059
[1476/5000][155/535][152310] Loss_D: -0.018707 Loss_G: 0.004061 Loss_D_real: -0.000877 Loss_D_fake 0.017830
[1476/5000][160/535][152311] Loss_D: -0.018283 Loss_G: 0.020374 Loss_D_real: -0.019640 Loss_D_fake -0.001358
[1476/5000][165/535][152312] Loss_D: -0.019984 Loss_G: 0.007366 Loss_D_real: -0.012073 Loss_D_fake 0.007911
[1476/5000][170/535][152313] Loss_D: -0.018455 Loss_G: -0.014641 Loss_D_real: -0.004009 Loss_D_fake 0.014445
[1476/5000][175/535][152314] Loss_D: -0.019901 Loss_G: 0.017698 Loss_D_real: -0.023570 Loss_D_fake -0.003670
[1476/5000][180/535][152315] Loss_D: -0.018535 Loss_G: -0.014922 Loss_D_real: 0.000548 Loss_D_fake 0.019082
[1476/5000][185/535][152316] Loss_D: -0.019185 Loss_G: 0.013376 Loss_D_real: -0.014285 Loss_D_fake 0.004900
[1476/5000][190/535][152317] Loss_D: -0.020769 Loss_G: -0.008780 Loss_D_real: -0.002269 Loss_D_fake 0.018500
[1476/5000][195/535][152318] Loss_D: -0.019855 Loss_G: 0.005367 Loss_D_real: -0.016763 Loss_D_fake 0.003092
[1476/5000][200/535][152319] Loss_D: -0.020359 Loss_G: 0.004832 Loss_D_real: -0.011158 Loss_D_fake 0.009201
[1476/5000][205/535][152320] Loss_D: -0.019391 Loss_G: -0.003334 Loss_D_real: -0.022408 Loss_D_fake -0.003016
[1476/5000][210/535][152321] Loss_D: -0.018788 Loss_G: 0.033173 Loss_D_real: -0.037134 Loss_D_fake -0.018346
[1476/5000][215/535][152322] Loss_D: -0.018907 Loss_G: -0.013539 Loss_D_real: 0.002988 Loss_D_fake 0.021895
[1476/5000][220/535][152323] Loss_D: -0.020419 Loss_G: 0.018918 Loss_D_real: -0.014631 Loss_D_fake 0.005788
[1476/5000][225/535][152324] Loss_D: -0.019949 Loss_G: -0.014442 Loss_D_real: -0.004440 Loss_D_fake 0.015509
[1476/5000][230/535][152325] Loss_D: -0.018920 Loss_G: 0.026429 Loss_D_real: -0.032873 Loss_D_fake -0.013953
[1476/5000][235/535][152326] Loss_D: -0.018499 Loss_G: 0.023213 Loss_D_real: -0.029140 Loss_D_fake -0.010641
[1476/5000][240/535][152327] Loss_D: -0.020631 Loss_G: 0.012851 Loss_D_real: -0.018370 Loss_D_fake 0.002262
[1476/5000][245/535][152328] Loss_D: -0.020544 Loss_G: 0.017245 Loss_D_real: -0.020944 Loss_D_fake -0.000400
[1476/5000][250/535][152329] Loss_D: -0.019307 Loss_G: 0.001798 Loss_D_real: -0.015459 Loss_D_fake 0.003847
[1476/5000][255/535][152330] Loss_D: -0.018937 Loss_G: -0.003286 Loss_D_real: -0.013039 Loss_D_fake 0.005898
[1476/5000][260/535][152331] Loss_D: -0.019020 Loss_G: 0.014998 Loss_D_real: -0.014650 Loss_D_fake 0.004370
[1476/5000][265/535][152332] Loss_D: -0.020260 Loss_G: 0.010913 Loss_D_real: -0.020527 Loss_D_fake -0.000268
[1476/5000][270/535][152333] Loss_D: -0.018934 Loss_G: 0.014652 Loss_D_real: -0.026975 Loss_D_fake -0.008041
[1476/5000][275/535][152334] Loss_D: -0.020301 Loss_G: 0.011650 Loss_D_real: -0.016649 Loss_D_fake 0.003652
[1476/5000][280/535][152335] Loss_D: -0.020188 Loss_G: 0.025657 Loss_D_real: -0.031102 Loss_D_fake -0.010914
[1476/5000][285/535][152336] Loss_D: -0.019118 Loss_G: -0.016458 Loss_D_real: -0.001843 Loss_D_fake 0.017276
[1476/5000][290/535][152337] Loss_D: -0.019457 Loss_G: 0.016985 Loss_D_real: -0.020052 Loss_D_fake -0.000595
[1476/5000][295/535][152338] Loss_D: -0.019905 Loss_G: 0.010136 Loss_D_real: -0.012114 Loss_D_fake 0.007791
[1476/5000][300/535][152339] Loss_D: -0.020105 Loss_G: 0.007065 Loss_D_real: -0.017758 Loss_D_fake 0.002347
[1476/5000][305/535][152340] Loss_D: -0.020478 Loss_G: -0.004657 Loss_D_real: -0.008499 Loss_D_fake 0.011979
[1476/5000][310/535][152341] Loss_D: -0.020572 Loss_G: 0.000261 Loss_D_real: -0.012117 Loss_D_fake 0.008455
[1476/5000][315/535][152342] Loss_D: -0.020572 Loss_G: 0.022057 Loss_D_real: -0.016228 Loss_D_fake 0.004344
[1476/5000][320/535][152343] Loss_D: -0.020701 Loss_G: 0.012692 Loss_D_real: -0.010541 Loss_D_fake 0.010160
[1476/5000][325/535][152344] Loss_D: -0.020373 Loss_G: 0.004109 Loss_D_real: -0.014762 Loss_D_fake 0.005611
[1476/5000][330/535][152345] Loss_D: -0.019607 Loss_G: -0.004196 Loss_D_real: -0.011538 Loss_D_fake 0.008069
[1476/5000][335/535][152346] Loss_D: -0.018297 Loss_G: 0.022449 Loss_D_real: -0.018002 Loss_D_fake 0.000296
[1476/5000][340/535][152347] Loss_D: -0.019160 Loss_G: -0.007865 Loss_D_real: -0.013600 Loss_D_fake 0.005560
[1476/5000][345/535][152348] Loss_D: -0.019221 Loss_G: -0.004342 Loss_D_real: -0.002727 Loss_D_fake 0.016494
[1476/5000][350/535][152349] Loss_D: -0.019779 Loss_G: 0.007048 Loss_D_real: -0.010694 Loss_D_fake 0.009085
[1476/5000][355/535][152350] Loss_D: -0.019254 Loss_G: 0.005897 Loss_D_real: -0.013964 Loss_D_fake 0.005290
[1476/5000][360/535][152351] Loss_D: -0.020416 Loss_G: 0.016948 Loss_D_real: -0.024480 Loss_D_fake -0.004064
[1476/5000][365/535][152352] Loss_D: -0.019705 Loss_G: 0.019248 Loss_D_real: -0.035872 Loss_D_fake -0.016167
[1476/5000][370/535][152353] Loss_D: -0.021497 Loss_G: -0.001084 Loss_D_real: -0.018454 Loss_D_fake 0.003044
[1476/5000][375/535][152354] Loss_D: -0.019077 Loss_G: -0.010212 Loss_D_real: -0.019160 Loss_D_fake -0.000084
[1476/5000][380/535][152355] Loss_D: -0.019406 Loss_G: -0.010023 Loss_D_real: -0.007561 Loss_D_fake 0.011846
[1476/5000][385/535][152356] Loss_D: -0.020789 Loss_G: 0.017748 Loss_D_real: -0.016011 Loss_D_fake 0.004778
[1476/5000][390/535][152357] Loss_D: -0.020201 Loss_G: 0.006723 Loss_D_real: -0.034196 Loss_D_fake -0.013994
[1476/5000][395/535][152358] Loss_D: -0.021740 Loss_G: 0.016928 Loss_D_real: -0.012686 Loss_D_fake 0.009053
[1476/5000][400/535][152359] Loss_D: -0.022145 Loss_G: 0.018210 Loss_D_real: -0.024234 Loss_D_fake -0.002089
[1476/5000][405/535][152360] Loss_D: -0.020779 Loss_G: -0.006757 Loss_D_real: -0.016546 Loss_D_fake 0.004232
[1476/5000][410/535][152361] Loss_D: -0.021373 Loss_G: -0.000721 Loss_D_real: -0.004548 Loss_D_fake 0.016825
[1476/5000][415/535][152362] Loss_D: -0.021397 Loss_G: 0.010987 Loss_D_real: -0.023416 Loss_D_fake -0.002019
[1476/5000][420/535][152363] Loss_D: -0.020475 Loss_G: 0.017916 Loss_D_real: -0.015447 Loss_D_fake 0.005029
[1476/5000][425/535][152364] Loss_D: -0.020037 Loss_G: 0.011584 Loss_D_real: -0.012818 Loss_D_fake 0.007219
[1476/5000][430/535][152365] Loss_D: -0.020035 Loss_G: 0.015782 Loss_D_real: -0.024058 Loss_D_fake -0.004023
[1476/5000][435/535][152366] Loss_D: -0.020828 Loss_G: -0.002397 Loss_D_real: -0.016991 Loss_D_fake 0.003837
[1476/5000][440/535][152367] Loss_D: -0.021012 Loss_G: -0.004856 Loss_D_real: -0.013094 Loss_D_fake 0.007918
[1476/5000][445/535][152368] Loss_D: -0.020055 Loss_G: 0.006948 Loss_D_real: -0.014855 Loss_D_fake 0.005200
[1476/5000][450/535][152369] Loss_D: -0.019971 Loss_G: 0.027202 Loss_D_real: -0.024083 Loss_D_fake -0.004112
[1476/5000][455/535][152370] Loss_D: -0.019432 Loss_G: 0.010839 Loss_D_real: -0.035704 Loss_D_fake -0.016273
[1476/5000][460/535][152371] Loss_D: -0.020953 Loss_G: 0.003487 Loss_D_real: -0.020473 Loss_D_fake 0.000480
[1476/5000][465/535][152372] Loss_D: -0.020078 Loss_G: 0.002299 Loss_D_real: -0.029226 Loss_D_fake -0.009148
[1476/5000][470/535][152373] Loss_D: -0.021612 Loss_G: 0.023229 Loss_D_real: -0.027122 Loss_D_fake -0.005510
[1476/5000][475/535][152374] Loss_D: -0.019883 Loss_G: -0.012148 Loss_D_real: -0.019112 Loss_D_fake 0.000772
[1476/5000][480/535][152375] Loss_D: -0.021000 Loss_G: 0.000002 Loss_D_real: -0.017249 Loss_D_fake 0.003751
[1476/5000][485/535][152376] Loss_D: -0.018945 Loss_G: 0.020117 Loss_D_real: -0.027905 Loss_D_fake -0.008960
[1476/5000][490/535][152377] Loss_D: -0.020127 Loss_G: -0.016213 Loss_D_real: -0.006989 Loss_D_fake 0.013137
[1476/5000][495/535][152378] Loss_D: -0.019885 Loss_G: 0.019522 Loss_D_real: -0.015434 Loss_D_fake 0.004451
[1476/5000][500/535][152379] Loss_D: -0.019791 Loss_G: 0.004541 Loss_D_real: -0.007147 Loss_D_fake 0.012643
[1476/5000][505/535][152380] Loss_D: -0.019327 Loss_G: 0.014341 Loss_D_real: -0.005901 Loss_D_fake 0.013427
[1476/5000][510/535][152381] Loss_D: -0.018013 Loss_G: 0.020038 Loss_D_real: -0.032792 Loss_D_fake -0.014778
[1476/5000][515/535][152382] Loss_D: -0.019936 Loss_G: -0.002535 Loss_D_real: -0.009459 Loss_D_fake 0.010477
[1476/5000][520/535][152383] Loss_D: -0.019597 Loss_G: 0.002521 Loss_D_real: -0.011568 Loss_D_fake 0.008030
[1476/5000][525/535][152384] Loss_D: -0.020662 Loss_G: 0.009810 Loss_D_real: -0.013549 Loss_D_fake 0.007112
[1476/5000][530/535][152385] Loss_D: -0.019795 Loss_G: 0.013704 Loss_D_real: -0.011607 Loss_D_fake 0.008188
[1476/5000][535/535][152386] Loss_D: -0.016787 Loss_G: -0.018400 Loss_D_real: 0.003305 Loss_D_fake 0.020091
[1477/5000][5/535][152387] Loss_D: -0.019563 Loss_G: 0.018335 Loss_D_real: -0.014891 Loss_D_fake 0.004672
[1477/5000][10/535][152388] Loss_D: -0.020624 Loss_G: 0.001228 Loss_D_real: -0.006320 Loss_D_fake 0.014304
[1477/5000][15/535][152389] Loss_D: -0.019095 Loss_G: 0.006411 Loss_D_real: -0.028568 Loss_D_fake -0.009474
[1477/5000][20/535][152390] Loss_D: -0.020225 Loss_G: 0.009450 Loss_D_real: -0.014630 Loss_D_fake 0.005596
[1477/5000][25/535][152391] Loss_D: -0.019234 Loss_G: -0.005500 Loss_D_real: -0.012229 Loss_D_fake 0.007005
[1477/5000][30/535][152392] Loss_D: -0.018758 Loss_G: 0.018098 Loss_D_real: -0.009884 Loss_D_fake 0.008874
[1477/5000][35/535][152393] Loss_D: -0.018197 Loss_G: 0.013974 Loss_D_real: -0.029320 Loss_D_fake -0.011123
[1477/5000][40/535][152394] Loss_D: -0.019305 Loss_G: 0.030160 Loss_D_real: -0.025815 Loss_D_fake -0.006510
[1477/5000][45/535][152395] Loss_D: -0.020089 Loss_G: -0.014338 Loss_D_real: -0.014741 Loss_D_fake 0.005348
[1477/5000][50/535][152396] Loss_D: -0.020062 Loss_G: 0.018216 Loss_D_real: -0.022494 Loss_D_fake -0.002432
[1477/5000][55/535][152397] Loss_D: -0.018714 Loss_G: 0.018692 Loss_D_real: -0.017303 Loss_D_fake 0.001411
[1477/5000][60/535][152398] Loss_D: -0.020279 Loss_G: -0.002070 Loss_D_real: -0.019883 Loss_D_fake 0.000395
[1477/5000][65/535][152399] Loss_D: -0.020239 Loss_G: 0.001547 Loss_D_real: -0.009233 Loss_D_fake 0.011006
[1477/5000][70/535][152400] Loss_D: -0.019575 Loss_G: 0.016786 Loss_D_real: -0.031707 Loss_D_fake -0.012132
[1477/5000][75/535][152401] Loss_D: -0.020392 Loss_G: -0.002207 Loss_D_real: -0.005474 Loss_D_fake 0.014918
[1477/5000][80/535][152402] Loss_D: -0.019637 Loss_G: 0.007012 Loss_D_real: -0.008007 Loss_D_fake 0.011629
[1477/5000][85/535][152403] Loss_D: -0.019260 Loss_G: 0.028617 Loss_D_real: -0.032453 Loss_D_fake -0.013193
[1477/5000][90/535][152404] Loss_D: -0.021512 Loss_G: 0.001373 Loss_D_real: -0.019595 Loss_D_fake 0.001917
[1477/5000][95/535][152405] Loss_D: -0.019765 Loss_G: 0.011393 Loss_D_real: -0.013902 Loss_D_fake 0.005863
[1477/5000][100/535][152406] Loss_D: -0.019995 Loss_G: -0.005988 Loss_D_real: -0.002066 Loss_D_fake 0.017930
[1477/5000][105/535][152407] Loss_D: -0.018325 Loss_G: 0.020199 Loss_D_real: -0.032147 Loss_D_fake -0.013822
[1477/5000][110/535][152408] Loss_D: -0.021043 Loss_G: 0.012241 Loss_D_real: -0.031896 Loss_D_fake -0.010853
[1477/5000][115/535][152409] Loss_D: -0.021122 Loss_G: -0.005042 Loss_D_real: -0.011650 Loss_D_fake 0.009472
[1477/5000][120/535][152410] Loss_D: -0.020606 Loss_G: -0.011541 Loss_D_real: -0.004778 Loss_D_fake 0.015828
[1477/5000][125/535][152411] Loss_D: -0.020330 Loss_G: 0.016451 Loss_D_real: -0.026286 Loss_D_fake -0.005956
[1477/5000][130/535][152412] Loss_D: -0.021078 Loss_G: 0.002220 Loss_D_real: -0.011588 Loss_D_fake 0.009490
[1477/5000][135/535][152413] Loss_D: -0.020418 Loss_G: -0.003438 Loss_D_real: -0.002118 Loss_D_fake 0.018300
[1477/5000][140/535][152414] Loss_D: -0.018864 Loss_G: 0.027339 Loss_D_real: -0.027791 Loss_D_fake -0.008927
[1477/5000][145/535][152415] Loss_D: -0.020315 Loss_G: -0.001233 Loss_D_real: -0.007797 Loss_D_fake 0.012518
[1477/5000][150/535][152416] Loss_D: -0.020926 Loss_G: 0.008071 Loss_D_real: -0.017059 Loss_D_fake 0.003867
[1477/5000][155/535][152417] Loss_D: -0.020867 Loss_G: 0.002323 Loss_D_real: -0.017793 Loss_D_fake 0.003074
[1477/5000][160/535][152418] Loss_D: -0.020737 Loss_G: -0.001274 Loss_D_real: -0.022208 Loss_D_fake -0.001472
[1477/5000][165/535][152419] Loss_D: -0.020276 Loss_G: -0.008649 Loss_D_real: -0.002906 Loss_D_fake 0.017370
[1477/5000][170/535][152420] Loss_D: -0.020323 Loss_G: 0.020330 Loss_D_real: -0.030482 Loss_D_fake -0.010159
[1477/5000][175/535][152421] Loss_D: -0.019181 Loss_G: 0.000855 Loss_D_real: -0.006873 Loss_D_fake 0.012308
[1477/5000][180/535][152422] Loss_D: -0.020376 Loss_G: -0.009238 Loss_D_real: -0.013442 Loss_D_fake 0.006934
[1477/5000][185/535][152423] Loss_D: -0.020304 Loss_G: 0.009430 Loss_D_real: -0.010032 Loss_D_fake 0.010272
[1477/5000][190/535][152424] Loss_D: -0.020126 Loss_G: 0.001306 Loss_D_real: -0.013364 Loss_D_fake 0.006762
[1477/5000][195/535][152425] Loss_D: -0.020374 Loss_G: 0.012359 Loss_D_real: -0.019096 Loss_D_fake 0.001278
[1477/5000][200/535][152426] Loss_D: -0.019871 Loss_G: 0.008396 Loss_D_real: -0.016119 Loss_D_fake 0.003752
[1477/5000][205/535][152427] Loss_D: -0.020967 Loss_G: 0.016991 Loss_D_real: -0.027695 Loss_D_fake -0.006727
[1477/5000][210/535][152428] Loss_D: -0.019524 Loss_G: 0.008529 Loss_D_real: -0.003548 Loss_D_fake 0.015976
[1477/5000][215/535][152429] Loss_D: -0.020272 Loss_G: 0.003335 Loss_D_real: -0.017895 Loss_D_fake 0.002376
[1477/5000][220/535][152430] Loss_D: -0.020071 Loss_G: 0.020289 Loss_D_real: -0.017219 Loss_D_fake 0.002853
[1477/5000][225/535][152431] Loss_D: -0.018948 Loss_G: -0.004724 Loss_D_real: -0.017314 Loss_D_fake 0.001634
[1477/5000][230/535][152432] Loss_D: -0.020612 Loss_G: 0.009937 Loss_D_real: -0.017918 Loss_D_fake 0.002694
[1477/5000][235/535][152433] Loss_D: -0.020912 Loss_G: 0.008563 Loss_D_real: -0.010888 Loss_D_fake 0.010024
[1477/5000][240/535][152434] Loss_D: -0.020054 Loss_G: 0.013865 Loss_D_real: -0.020466 Loss_D_fake -0.000412
[1477/5000][245/535][152435] Loss_D: -0.020483 Loss_G: 0.019425 Loss_D_real: -0.020796 Loss_D_fake -0.000313
[1477/5000][250/535][152436] Loss_D: -0.019092 Loss_G: -0.014347 Loss_D_real: -0.002400 Loss_D_fake 0.016692
[1477/5000][255/535][152437] Loss_D: -0.018844 Loss_G: 0.022717 Loss_D_real: -0.026965 Loss_D_fake -0.008121
[1477/5000][260/535][152438] Loss_D: -0.020256 Loss_G: 0.015334 Loss_D_real: -0.026024 Loss_D_fake -0.005768
[1477/5000][265/535][152439] Loss_D: -0.019444 Loss_G: 0.008315 Loss_D_real: -0.030415 Loss_D_fake -0.010971
[1477/5000][270/535][152440] Loss_D: -0.021037 Loss_G: -0.003845 Loss_D_real: -0.016907 Loss_D_fake 0.004130
[1477/5000][275/535][152441] Loss_D: -0.021867 Loss_G: 0.005098 Loss_D_real: -0.005004 Loss_D_fake 0.016863
[1477/5000][280/535][152442] Loss_D: -0.020312 Loss_G: -0.006070 Loss_D_real: -0.004983 Loss_D_fake 0.015329
[1477/5000][285/535][152443] Loss_D: -0.019778 Loss_G: -0.019200 Loss_D_real: -0.000092 Loss_D_fake 0.019686
[1477/5000][290/535][152444] Loss_D: -0.019983 Loss_G: 0.019101 Loss_D_real: -0.024705 Loss_D_fake -0.004723
[1477/5000][295/535][152445] Loss_D: -0.020004 Loss_G: 0.007944 Loss_D_real: -0.016332 Loss_D_fake 0.003672
[1477/5000][300/535][152446] Loss_D: -0.019838 Loss_G: 0.012412 Loss_D_real: -0.013496 Loss_D_fake 0.006342
[1477/5000][305/535][152447] Loss_D: -0.020513 Loss_G: -0.007451 Loss_D_real: -0.006899 Loss_D_fake 0.013614
[1477/5000][310/535][152448] Loss_D: -0.019399 Loss_G: 0.020969 Loss_D_real: -0.035092 Loss_D_fake -0.015692
[1477/5000][315/535][152449] Loss_D: -0.020023 Loss_G: 0.000597 Loss_D_real: -0.009878 Loss_D_fake 0.010145
[1477/5000][320/535][152450] Loss_D: -0.019668 Loss_G: -0.002657 Loss_D_real: -0.006201 Loss_D_fake 0.013467
[1477/5000][325/535][152451] Loss_D: -0.019487 Loss_G: -0.002358 Loss_D_real: -0.008600 Loss_D_fake 0.010887
[1477/5000][330/535][152452] Loss_D: -0.019567 Loss_G: 0.004406 Loss_D_real: -0.024659 Loss_D_fake -0.005091
[1477/5000][335/535][152453] Loss_D: -0.019505 Loss_G: 0.023494 Loss_D_real: -0.009766 Loss_D_fake 0.009739
[1477/5000][340/535][152454] Loss_D: -0.019539 Loss_G: -0.006881 Loss_D_real: -0.011824 Loss_D_fake 0.007715
[1477/5000][345/535][152455] Loss_D: -0.019464 Loss_G: -0.003666 Loss_D_real: -0.011581 Loss_D_fake 0.007883
[1477/5000][350/535][152456] Loss_D: -0.020273 Loss_G: 0.004337 Loss_D_real: -0.019298 Loss_D_fake 0.000975
[1477/5000][355/535][152457] Loss_D: -0.020580 Loss_G: -0.003129 Loss_D_real: -0.010403 Loss_D_fake 0.010177
[1477/5000][360/535][152458] Loss_D: -0.019134 Loss_G: 0.030207 Loss_D_real: -0.032144 Loss_D_fake -0.013010
[1477/5000][365/535][152459] Loss_D: -0.019834 Loss_G: -0.002591 Loss_D_real: -0.018040 Loss_D_fake 0.001793
[1477/5000][370/535][152460] Loss_D: -0.020422 Loss_G: 0.005117 Loss_D_real: -0.028503 Loss_D_fake -0.008081
[1477/5000][375/535][152461] Loss_D: -0.020001 Loss_G: 0.015070 Loss_D_real: -0.023373 Loss_D_fake -0.003372
[1477/5000][380/535][152462] Loss_D: -0.019927 Loss_G: 0.014160 Loss_D_real: -0.009849 Loss_D_fake 0.010077
[1477/5000][385/535][152463] Loss_D: -0.019525 Loss_G: 0.005388 Loss_D_real: -0.005734 Loss_D_fake 0.013791
[1477/5000][390/535][152464] Loss_D: -0.019249 Loss_G: 0.010314 Loss_D_real: -0.021578 Loss_D_fake -0.002329
[1477/5000][395/535][152465] Loss_D: -0.020230 Loss_G: 0.003726 Loss_D_real: -0.018360 Loss_D_fake 0.001869
[1477/5000][400/535][152466] Loss_D: -0.019878 Loss_G: 0.015350 Loss_D_real: -0.033642 Loss_D_fake -0.013764
[1477/5000][405/535][152467] Loss_D: -0.020052 Loss_G: 0.002279 Loss_D_real: -0.017622 Loss_D_fake 0.002430
[1477/5000][410/535][152468] Loss_D: -0.018891 Loss_G: 0.025119 Loss_D_real: -0.032678 Loss_D_fake -0.013787
[1477/5000][415/535][152469] Loss_D: -0.021290 Loss_G: -0.002114 Loss_D_real: 0.003764 Loss_D_fake 0.025055
[1477/5000][420/535][152470] Loss_D: -0.020480 Loss_G: 0.010274 Loss_D_real: -0.004438 Loss_D_fake 0.016042
[1477/5000][425/535][152471] Loss_D: -0.019013 Loss_G: -0.018844 Loss_D_real: -0.006372 Loss_D_fake 0.012642
[1477/5000][430/535][152472] Loss_D: -0.019872 Loss_G: -0.000042 Loss_D_real: -0.017399 Loss_D_fake 0.002474
[1477/5000][435/535][152473] Loss_D: -0.019642 Loss_G: 0.018467 Loss_D_real: -0.022970 Loss_D_fake -0.003328
[1477/5000][440/535][152474] Loss_D: -0.020024 Loss_G: 0.017446 Loss_D_real: -0.022051 Loss_D_fake -0.002027
[1477/5000][445/535][152475] Loss_D: -0.019574 Loss_G: 0.006154 Loss_D_real: -0.017109 Loss_D_fake 0.002465
[1477/5000][450/535][152476] Loss_D: -0.020447 Loss_G: 0.006641 Loss_D_real: -0.022504 Loss_D_fake -0.002056
[1477/5000][455/535][152477] Loss_D: -0.020040 Loss_G: 0.017375 Loss_D_real: -0.022833 Loss_D_fake -0.002794
[1477/5000][460/535][152478] Loss_D: -0.020956 Loss_G: 0.011192 Loss_D_real: -0.013181 Loss_D_fake 0.007776
[1477/5000][465/535][152479] Loss_D: -0.019164 Loss_G: -0.006094 Loss_D_real: -0.000916 Loss_D_fake 0.018248
[1477/5000][470/535][152480] Loss_D: -0.020030 Loss_G: -0.015823 Loss_D_real: -0.003682 Loss_D_fake 0.016348
[1477/5000][475/535][152481] Loss_D: -0.019188 Loss_G: 0.001704 Loss_D_real: -0.020536 Loss_D_fake -0.001348
[1477/5000][480/535][152482] Loss_D: -0.019770 Loss_G: 0.023439 Loss_D_real: -0.021747 Loss_D_fake -0.001977
[1477/5000][485/535][152483] Loss_D: -0.018487 Loss_G: 0.021559 Loss_D_real: -0.020267 Loss_D_fake -0.001779
[1477/5000][490/535][152484] Loss_D: -0.019560 Loss_G: -0.005071 Loss_D_real: -0.015630 Loss_D_fake 0.003931
[1477/5000][495/535][152485] Loss_D: -0.018964 Loss_G: 0.011098 Loss_D_real: -0.017605 Loss_D_fake 0.001358
[1477/5000][500/535][152486] Loss_D: -0.019936 Loss_G: 0.013172 Loss_D_real: -0.024446 Loss_D_fake -0.004510
[1477/5000][505/535][152487] Loss_D: -0.017440 Loss_G: 0.028592 Loss_D_real: -0.035302 Loss_D_fake -0.017861
[1477/5000][510/535][152488] Loss_D: -0.019752 Loss_G: 0.004141 Loss_D_real: -0.018205 Loss_D_fake 0.001548
[1477/5000][515/535][152489] Loss_D: -0.019151 Loss_G: -0.013600 Loss_D_real: 0.002685 Loss_D_fake 0.021837
[1477/5000][520/535][152490] Loss_D: -0.019395 Loss_G: 0.013671 Loss_D_real: -0.019607 Loss_D_fake -0.000213
[1477/5000][525/535][152491] Loss_D: -0.018932 Loss_G: -0.005412 Loss_D_real: -0.005962 Loss_D_fake 0.012970
[1477/5000][530/535][152492] Loss_D: -0.018892 Loss_G: -0.005598 Loss_D_real: 0.004093 Loss_D_fake 0.022985
[1477/5000][535/535][152493] Loss_D: -0.018075 Loss_G: 0.012036 Loss_D_real: -0.017295 Loss_D_fake 0.000780
[1478/5000][5/535][152494] Loss_D: -0.018979 Loss_G: -0.011923 Loss_D_real: -0.005787 Loss_D_fake 0.013192
[1478/5000][10/535][152495] Loss_D: -0.018632 Loss_G: -0.005256 Loss_D_real: -0.003244 Loss_D_fake 0.015388
[1478/5000][15/535][152496] Loss_D: -0.020279 Loss_G: -0.001249 Loss_D_real: -0.015639 Loss_D_fake 0.004640
[1478/5000][20/535][152497] Loss_D: -0.020612 Loss_G: 0.012689 Loss_D_real: -0.013609 Loss_D_fake 0.007003
[1478/5000][25/535][152498] Loss_D: -0.019483 Loss_G: 0.008876 Loss_D_real: -0.017039 Loss_D_fake 0.002445
[1478/5000][30/535][152499] Loss_D: -0.020611 Loss_G: 0.009455 Loss_D_real: -0.021959 Loss_D_fake -0.001347
[1478/5000][35/535][152500] Loss_D: -0.019989 Loss_G: 0.000918 Loss_D_real: 0.002932 Loss_D_fake 0.022921
[1478/5000][135/535][152501] Loss_D: -0.023385 Loss_G: 0.018399 Loss_D_real: -0.022579 Loss_D_fake 0.000805
[1478/5000][140/535][152502] Loss_D: -0.018534 Loss_G: 0.013649 Loss_D_real: -0.020409 Loss_D_fake -0.001875
[1478/5000][145/535][152503] Loss_D: -0.019123 Loss_G: 0.014267 Loss_D_real: -0.008134 Loss_D_fake 0.010989
[1478/5000][150/535][152504] Loss_D: -0.018453 Loss_G: 0.016041 Loss_D_real: -0.013790 Loss_D_fake 0.004663
[1478/5000][155/535][152505] Loss_D: -0.019081 Loss_G: -0.003084 Loss_D_real: -0.007405 Loss_D_fake 0.011676
[1478/5000][160/535][152506] Loss_D: -0.019744 Loss_G: -0.013499 Loss_D_real: -0.005485 Loss_D_fake 0.014259
[1478/5000][165/535][152507] Loss_D: -0.019017 Loss_G: 0.019638 Loss_D_real: -0.013666 Loss_D_fake 0.005350
[1478/5000][170/535][152508] Loss_D: -0.019377 Loss_G: 0.003114 Loss_D_real: -0.013974 Loss_D_fake 0.005403
[1478/5000][175/535][152509] Loss_D: -0.017637 Loss_G: -0.000292 Loss_D_real: -0.004374 Loss_D_fake 0.013262
[1478/5000][180/535][152510] Loss_D: -0.018908 Loss_G: -0.003452 Loss_D_real: -0.018940 Loss_D_fake -0.000032
[1478/5000][185/535][152511] Loss_D: -0.018816 Loss_G: 0.019540 Loss_D_real: -0.028020 Loss_D_fake -0.009204
[1478/5000][190/535][152512] Loss_D: -0.020107 Loss_G: 0.005815 Loss_D_real: -0.012491 Loss_D_fake 0.007616
[1478/5000][195/535][152513] Loss_D: -0.019386 Loss_G: 0.019799 Loss_D_real: -0.034133 Loss_D_fake -0.014747
[1478/5000][200/535][152514] Loss_D: -0.019750 Loss_G: 0.012102 Loss_D_real: -0.031631 Loss_D_fake -0.011881
[1478/5000][205/535][152515] Loss_D: -0.019873 Loss_G: -0.001684 Loss_D_real: -0.013799 Loss_D_fake 0.006074
[1478/5000][210/535][152516] Loss_D: -0.019397 Loss_G: -0.000002 Loss_D_real: -0.018412 Loss_D_fake 0.000984
[1478/5000][215/535][152517] Loss_D: -0.019485 Loss_G: 0.016579 Loss_D_real: -0.016517 Loss_D_fake 0.002968
[1478/5000][220/535][152518] Loss_D: -0.020049 Loss_G: -0.003490 Loss_D_real: -0.012459 Loss_D_fake 0.007590
[1478/5000][225/535][152519] Loss_D: -0.019479 Loss_G: -0.001864 Loss_D_real: -0.012598 Loss_D_fake 0.006881
[1478/5000][230/535][152520] Loss_D: -0.018501 Loss_G: -0.005805 Loss_D_real: -0.002345 Loss_D_fake 0.016156
[1478/5000][235/535][152521] Loss_D: -0.019595 Loss_G: -0.006761 Loss_D_real: -0.011427 Loss_D_fake 0.008167
[1478/5000][240/535][152522] Loss_D: -0.019680 Loss_G: 0.020337 Loss_D_real: -0.020788 Loss_D_fake -0.001108
[1478/5000][245/535][152523] Loss_D: -0.019811 Loss_G: 0.015573 Loss_D_real: -0.028012 Loss_D_fake -0.008202
[1478/5000][250/535][152524] Loss_D: -0.020288 Loss_G: 0.011012 Loss_D_real: -0.010444 Loss_D_fake 0.009844
[1478/5000][255/535][152525] Loss_D: -0.019789 Loss_G: -0.010774 Loss_D_real: -0.015790 Loss_D_fake 0.003999
[1478/5000][260/535][152526] Loss_D: -0.020610 Loss_G: 0.013154 Loss_D_real: -0.016421 Loss_D_fake 0.004189
[1478/5000][265/535][152527] Loss_D: -0.019799 Loss_G: -0.006045 Loss_D_real: -0.011902 Loss_D_fake 0.007897
[1478/5000][270/535][152528] Loss_D: -0.018410 Loss_G: -0.007774 Loss_D_real: -0.012219 Loss_D_fake 0.006191
[1478/5000][275/535][152529] Loss_D: -0.018861 Loss_G: -0.022376 Loss_D_real: 0.005694 Loss_D_fake 0.024555
[1478/5000][280/535][152530] Loss_D: -0.018499 Loss_G: -0.000213 Loss_D_real: -0.015342 Loss_D_fake 0.003156
[1478/5000][285/535][152531] Loss_D: -0.020853 Loss_G: 0.008477 Loss_D_real: -0.008362 Loss_D_fake 0.012490
[1478/5000][290/535][152532] Loss_D: -0.021583 Loss_G: 0.020418 Loss_D_real: -0.019575 Loss_D_fake 0.002008
[1478/5000][295/535][152533] Loss_D: -0.020711 Loss_G: -0.000134 Loss_D_real: -0.016112 Loss_D_fake 0.004599
[1478/5000][300/535][152534] Loss_D: -0.020394 Loss_G: -0.001547 Loss_D_real: -0.005064 Loss_D_fake 0.015330
[1478/5000][305/535][152535] Loss_D: -0.020407 Loss_G: 0.017781 Loss_D_real: -0.023155 Loss_D_fake -0.002748
[1478/5000][310/535][152536] Loss_D: -0.023194 Loss_G: 0.011138 Loss_D_real: 0.000110 Loss_D_fake 0.023304
[1478/5000][315/535][152537] Loss_D: -0.020923 Loss_G: 0.007831 Loss_D_real: -0.008099 Loss_D_fake 0.012824
[1478/5000][320/535][152538] Loss_D: -0.020674 Loss_G: 0.017354 Loss_D_real: -0.026777 Loss_D_fake -0.006103
[1478/5000][325/535][152539] Loss_D: -0.021347 Loss_G: 0.009676 Loss_D_real: -0.009397 Loss_D_fake 0.011950
[1478/5000][330/535][152540] Loss_D: -0.021135 Loss_G: 0.001876 Loss_D_real: -0.012096 Loss_D_fake 0.009040
[1478/5000][335/535][152541] Loss_D: -0.020283 Loss_G: 0.023888 Loss_D_real: -0.020603 Loss_D_fake -0.000319
[1478/5000][340/535][152542] Loss_D: -0.020354 Loss_G: -0.001493 Loss_D_real: -0.015472 Loss_D_fake 0.004882
[1478/5000][345/535][152543] Loss_D: -0.019977 Loss_G: 0.005806 Loss_D_real: -0.019590 Loss_D_fake 0.000387
[1478/5000][350/535][152544] Loss_D: -0.021038 Loss_G: 0.017246 Loss_D_real: -0.017904 Loss_D_fake 0.003134
[1478/5000][355/535][152545] Loss_D: -0.019439 Loss_G: 0.016105 Loss_D_real: -0.019752 Loss_D_fake -0.000313
[1478/5000][360/535][152546] Loss_D: -0.019493 Loss_G: 0.003725 Loss_D_real: -0.003692 Loss_D_fake 0.015801
[1478/5000][365/535][152547] Loss_D: -0.018996 Loss_G: -0.008212 Loss_D_real: -0.004057 Loss_D_fake 0.014939
[1478/5000][370/535][152548] Loss_D: -0.019117 Loss_G: 0.023268 Loss_D_real: -0.029097 Loss_D_fake -0.009980
[1478/5000][375/535][152549] Loss_D: -0.019404 Loss_G: -0.002545 Loss_D_real: -0.000315 Loss_D_fake 0.019089
[1478/5000][380/535][152550] Loss_D: -0.020179 Loss_G: 0.003827 Loss_D_real: -0.010008 Loss_D_fake 0.010170
[1478/5000][385/535][152551] Loss_D: -0.019748 Loss_G: 0.002243 Loss_D_real: -0.019896 Loss_D_fake -0.000148
[1478/5000][390/535][152552] Loss_D: -0.021214 Loss_G: -0.001359 Loss_D_real: -0.014312 Loss_D_fake 0.006902
[1478/5000][395/535][152553] Loss_D: -0.020392 Loss_G: 0.000664 Loss_D_real: 0.004081 Loss_D_fake 0.024472
[1478/5000][400/535][152554] Loss_D: -0.020283 Loss_G: 0.013969 Loss_D_real: -0.019068 Loss_D_fake 0.001215
[1478/5000][405/535][152555] Loss_D: -0.020475 Loss_G: 0.002636 Loss_D_real: 0.003503 Loss_D_fake 0.023978
[1478/5000][410/535][152556] Loss_D: -0.020169 Loss_G: 0.003980 Loss_D_real: -0.017451 Loss_D_fake 0.002717
[1478/5000][415/535][152557] Loss_D: -0.019884 Loss_G: 0.007463 Loss_D_real: -0.019265 Loss_D_fake 0.000619
[1478/5000][420/535][152558] Loss_D: -0.020142 Loss_G: 0.008886 Loss_D_real: -0.016460 Loss_D_fake 0.003683
[1478/5000][425/535][152559] Loss_D: -0.020301 Loss_G: 0.023307 Loss_D_real: -0.022133 Loss_D_fake -0.001832
[1478/5000][430/535][152560] Loss_D: -0.020133 Loss_G: 0.027120 Loss_D_real: -0.022957 Loss_D_fake -0.002824
[1478/5000][435/535][152561] Loss_D: -0.018483 Loss_G: 0.026691 Loss_D_real: -0.033264 Loss_D_fake -0.014781
[1478/5000][440/535][152562] Loss_D: -0.020084 Loss_G: -0.014553 Loss_D_real: -0.003795 Loss_D_fake 0.016289
[1478/5000][445/535][152563] Loss_D: -0.021029 Loss_G: 0.010625 Loss_D_real: -0.015686 Loss_D_fake 0.005342
[1478/5000][450/535][152564] Loss_D: -0.019774 Loss_G: 0.007675 Loss_D_real: -0.015988 Loss_D_fake 0.003786
[1478/5000][455/535][152565] Loss_D: -0.019398 Loss_G: -0.002646 Loss_D_real: -0.022414 Loss_D_fake -0.003017
[1478/5000][460/535][152566] Loss_D: -0.019600 Loss_G: 0.011404 Loss_D_real: -0.023746 Loss_D_fake -0.004145
[1478/5000][465/535][152567] Loss_D: -0.019251 Loss_G: -0.014349 Loss_D_real: -0.007010 Loss_D_fake 0.012241
[1478/5000][470/535][152568] Loss_D: -0.017222 Loss_G: -0.020978 Loss_D_real: -0.006462 Loss_D_fake 0.010760
[1478/5000][475/535][152569] Loss_D: -0.019630 Loss_G: 0.015054 Loss_D_real: -0.026369 Loss_D_fake -0.006739
[1478/5000][480/535][152570] Loss_D: -0.018450 Loss_G: -0.003352 Loss_D_real: 0.004077 Loss_D_fake 0.022526
[1478/5000][485/535][152571] Loss_D: -0.019405 Loss_G: -0.001195 Loss_D_real: 0.001484 Loss_D_fake 0.020889
[1478/5000][490/535][152572] Loss_D: -0.021552 Loss_G: 0.033676 Loss_D_real: -0.021519 Loss_D_fake 0.000033
[1478/5000][495/535][152573] Loss_D: -0.018346 Loss_G: 0.020450 Loss_D_real: -0.028422 Loss_D_fake -0.010075
[1478/5000][500/535][152574] Loss_D: -0.020323 Loss_G: 0.000599 Loss_D_real: -0.003650 Loss_D_fake 0.016672
[1478/5000][505/535][152575] Loss_D: -0.018565 Loss_G: -0.004464 Loss_D_real: -0.002774 Loss_D_fake 0.015790
[1478/5000][510/535][152576] Loss_D: -0.018107 Loss_G: 0.017656 Loss_D_real: -0.030995 Loss_D_fake -0.012889
[1478/5000][515/535][152577] Loss_D: -0.019578 Loss_G: 0.007242 Loss_D_real: -0.021633 Loss_D_fake -0.002054
[1478/5000][520/535][152578] Loss_D: -0.019631 Loss_G: 0.010449 Loss_D_real: -0.025461 Loss_D_fake -0.005831
[1478/5000][525/535][152579] Loss_D: -0.019496 Loss_G: 0.019621 Loss_D_real: -0.025546 Loss_D_fake -0.006051
[1478/5000][530/535][152580] Loss_D: -0.020264 Loss_G: 0.003824 Loss_D_real: -0.023655 Loss_D_fake -0.003392
[1478/5000][535/535][152581] Loss_D: -0.020206 Loss_G: 0.010001 Loss_D_real: -0.001879 Loss_D_fake 0.018327
[1479/5000][5/535][152582] Loss_D: -0.019273 Loss_G: 0.023810 Loss_D_real: -0.018744 Loss_D_fake 0.000529
[1479/5000][10/535][152583] Loss_D: -0.020092 Loss_G: -0.000646 Loss_D_real: -0.021797 Loss_D_fake -0.001705
[1479/5000][15/535][152584] Loss_D: -0.020013 Loss_G: -0.010320 Loss_D_real: -0.004890 Loss_D_fake 0.015123
[1479/5000][20/535][152585] Loss_D: -0.019989 Loss_G: -0.009311 Loss_D_real: -0.021231 Loss_D_fake -0.001242
[1479/5000][25/535][152586] Loss_D: -0.019096 Loss_G: 0.027920 Loss_D_real: -0.023956 Loss_D_fake -0.004860
[1479/5000][30/535][152587] Loss_D: -0.019882 Loss_G: -0.006175 Loss_D_real: -0.003818 Loss_D_fake 0.016063
[1479/5000][35/535][152588] Loss_D: -0.020554 Loss_G: 0.010440 Loss_D_real: -0.015646 Loss_D_fake 0.004908
[1479/5000][40/535][152589] Loss_D: -0.020139 Loss_G: -0.009037 Loss_D_real: -0.008457 Loss_D_fake 0.011682
[1479/5000][45/535][152590] Loss_D: -0.020892 Loss_G: 0.016702 Loss_D_real: -0.009605 Loss_D_fake 0.011287
[1479/5000][50/535][152591] Loss_D: -0.018806 Loss_G: 0.013804 Loss_D_real: -0.017246 Loss_D_fake 0.001560
[1479/5000][55/535][152592] Loss_D: -0.019382 Loss_G: -0.007219 Loss_D_real: -0.007703 Loss_D_fake 0.011679
[1479/5000][60/535][152593] Loss_D: -0.021032 Loss_G: 0.005504 Loss_D_real: -0.023869 Loss_D_fake -0.002837
[1479/5000][65/535][152594] Loss_D: -0.020776 Loss_G: -0.008558 Loss_D_real: -0.002987 Loss_D_fake 0.017789
[1479/5000][70/535][152595] Loss_D: -0.021203 Loss_G: -0.009769 Loss_D_real: 0.001253 Loss_D_fake 0.022456
[1479/5000][75/535][152596] Loss_D: -0.018826 Loss_G: -0.009000 Loss_D_real: 0.001720 Loss_D_fake 0.020546
[1479/5000][80/535][152597] Loss_D: -0.019742 Loss_G: 0.012540 Loss_D_real: -0.010214 Loss_D_fake 0.009527
[1479/5000][85/535][152598] Loss_D: -0.020714 Loss_G: -0.003948 Loss_D_real: -0.009005 Loss_D_fake 0.011708
[1479/5000][90/535][152599] Loss_D: -0.020876 Loss_G: 0.004651 Loss_D_real: -0.008178 Loss_D_fake 0.012698
[1479/5000][95/535][152600] Loss_D: -0.020811 Loss_G: 0.019986 Loss_D_real: -0.021370 Loss_D_fake -0.000559
[1479/5000][100/535][152601] Loss_D: -0.020121 Loss_G: 0.032898 Loss_D_real: -0.018425 Loss_D_fake 0.001696
[1479/5000][105/535][152602] Loss_D: -0.018727 Loss_G: -0.007655 Loss_D_real: -0.008225 Loss_D_fake 0.010502
[1479/5000][110/535][152603] Loss_D: -0.021074 Loss_G: 0.016847 Loss_D_real: -0.015832 Loss_D_fake 0.005242
[1479/5000][115/535][152604] Loss_D: -0.018821 Loss_G: 0.016583 Loss_D_real: -0.029314 Loss_D_fake -0.010493
[1479/5000][120/535][152605] Loss_D: -0.021409 Loss_G: 0.005136 Loss_D_real: -0.007680 Loss_D_fake 0.013729
[1479/5000][125/535][152606] Loss_D: -0.019901 Loss_G: 0.016637 Loss_D_real: -0.023806 Loss_D_fake -0.003904
[1479/5000][130/535][152607] Loss_D: -0.020247 Loss_G: 0.004869 Loss_D_real: -0.012931 Loss_D_fake 0.007317
[1479/5000][135/535][152608] Loss_D: -0.020953 Loss_G: 0.015298 Loss_D_real: -0.005803 Loss_D_fake 0.015150
[1479/5000][140/535][152609] Loss_D: -0.020963 Loss_G: -0.001716 Loss_D_real: -0.022222 Loss_D_fake -0.001259
[1479/5000][145/535][152610] Loss_D: -0.020673 Loss_G: 0.020371 Loss_D_real: -0.028643 Loss_D_fake -0.007970
[1479/5000][150/535][152611] Loss_D: -0.019919 Loss_G: 0.009468 Loss_D_real: -0.016348 Loss_D_fake 0.003571
[1479/5000][155/535][152612] Loss_D: -0.019315 Loss_G: 0.005014 Loss_D_real: -0.027165 Loss_D_fake -0.007850
[1479/5000][160/535][152613] Loss_D: -0.020318 Loss_G: 0.019810 Loss_D_real: -0.031580 Loss_D_fake -0.011263
[1479/5000][165/535][152614] Loss_D: -0.021924 Loss_G: 0.016087 Loss_D_real: -0.012529 Loss_D_fake 0.009396
[1479/5000][170/535][152615] Loss_D: -0.020308 Loss_G: 0.005844 Loss_D_real: -0.019912 Loss_D_fake 0.000396
[1479/5000][175/535][152616] Loss_D: -0.020538 Loss_G: 0.018028 Loss_D_real: -0.032120 Loss_D_fake -0.011582
[1479/5000][180/535][152617] Loss_D: -0.019128 Loss_G: -0.017693 Loss_D_real: 0.000325 Loss_D_fake 0.019453
[1479/5000][185/535][152618] Loss_D: -0.020677 Loss_G: 0.011993 Loss_D_real: -0.014360 Loss_D_fake 0.006317
[1479/5000][190/535][152619] Loss_D: -0.019109 Loss_G: 0.008098 Loss_D_real: -0.022751 Loss_D_fake -0.003642
[1479/5000][195/535][152620] Loss_D: -0.021175 Loss_G: 0.006145 Loss_D_real: -0.012852 Loss_D_fake 0.008323
[1479/5000][200/535][152621] Loss_D: -0.019288 Loss_G: 0.005892 Loss_D_real: -0.012067 Loss_D_fake 0.007221
[1479/5000][205/535][152622] Loss_D: -0.020195 Loss_G: 0.019746 Loss_D_real: -0.018551 Loss_D_fake 0.001645
[1479/5000][210/535][152623] Loss_D: -0.018789 Loss_G: 0.011391 Loss_D_real: -0.021737 Loss_D_fake -0.002949
[1479/5000][215/535][152624] Loss_D: -0.019289 Loss_G: -0.020253 Loss_D_real: 0.000860 Loss_D_fake 0.020149
[1479/5000][220/535][152625] Loss_D: -0.019606 Loss_G: 0.001230 Loss_D_real: -0.015126 Loss_D_fake 0.004479
[1479/5000][225/535][152626] Loss_D: -0.019947 Loss_G: 0.000412 Loss_D_real: -0.011399 Loss_D_fake 0.008548
[1479/5000][230/535][152627] Loss_D: -0.019309 Loss_G: -0.001383 Loss_D_real: -0.011890 Loss_D_fake 0.007419
[1479/5000][235/535][152628] Loss_D: -0.018684 Loss_G: -0.019646 Loss_D_real: 0.002236 Loss_D_fake 0.020920
[1479/5000][240/535][152629] Loss_D: -0.019538 Loss_G: 0.000103 Loss_D_real: 0.000225 Loss_D_fake 0.019763
[1479/5000][245/535][152630] Loss_D: -0.019322 Loss_G: 0.007530 Loss_D_real: -0.008966 Loss_D_fake 0.010356
[1479/5000][250/535][152631] Loss_D: -0.019725 Loss_G: -0.006643 Loss_D_real: -0.003716 Loss_D_fake 0.016009
[1479/5000][255/535][152632] Loss_D: -0.019136 Loss_G: 0.020815 Loss_D_real: -0.026497 Loss_D_fake -0.007361
[1479/5000][260/535][152633] Loss_D: -0.019696 Loss_G: 0.009057 Loss_D_real: -0.008265 Loss_D_fake 0.011432
[1479/5000][265/535][152634] Loss_D: -0.020338 Loss_G: -0.000701 Loss_D_real: -0.022537 Loss_D_fake -0.002200
[1479/5000][270/535][152635] Loss_D: -0.020231 Loss_G: 0.021041 Loss_D_real: -0.023216 Loss_D_fake -0.002985
[1479/5000][275/535][152636] Loss_D: -0.020947 Loss_G: 0.001451 Loss_D_real: -0.019977 Loss_D_fake 0.000970
[1479/5000][280/535][152637] Loss_D: -0.020419 Loss_G: 0.020694 Loss_D_real: -0.018707 Loss_D_fake 0.001712
[1479/5000][285/535][152638] Loss_D: -0.020947 Loss_G: -0.001094 Loss_D_real: -0.006040 Loss_D_fake 0.014906
[1479/5000][290/535][152639] Loss_D: -0.018100 Loss_G: 0.027991 Loss_D_real: -0.038491 Loss_D_fake -0.020390
[1479/5000][295/535][152640] Loss_D: -0.020152 Loss_G: 0.000147 Loss_D_real: -0.007571 Loss_D_fake 0.012581
[1479/5000][300/535][152641] Loss_D: -0.021212 Loss_G: 0.020114 Loss_D_real: -0.017720 Loss_D_fake 0.003492
[1479/5000][305/535][152642] Loss_D: -0.020107 Loss_G: -0.007059 Loss_D_real: -0.014486 Loss_D_fake 0.005620
[1479/5000][310/535][152643] Loss_D: -0.019092 Loss_G: 0.015979 Loss_D_real: -0.032589 Loss_D_fake -0.013497
[1479/5000][315/535][152644] Loss_D: -0.020982 Loss_G: 0.002741 Loss_D_real: -0.009916 Loss_D_fake 0.011066
[1479/5000][320/535][152645] Loss_D: -0.020656 Loss_G: 0.009029 Loss_D_real: -0.003638 Loss_D_fake 0.017018
[1479/5000][325/535][152646] Loss_D: -0.020794 Loss_G: -0.002303 Loss_D_real: -0.023058 Loss_D_fake -0.002265
[1479/5000][330/535][152647] Loss_D: -0.021010 Loss_G: -0.000211 Loss_D_real: -0.009778 Loss_D_fake 0.011232
[1479/5000][335/535][152648] Loss_D: -0.019691 Loss_G: -0.016080 Loss_D_real: -0.001951 Loss_D_fake 0.017740
[1479/5000][340/535][152649] Loss_D: -0.019077 Loss_G: -0.011926 Loss_D_real: -0.006444 Loss_D_fake 0.012633
[1479/5000][345/535][152650] Loss_D: -0.018785 Loss_G: -0.003858 Loss_D_real: -0.007635 Loss_D_fake 0.011150
[1479/5000][350/535][152651] Loss_D: -0.019111 Loss_G: 0.015174 Loss_D_real: -0.015334 Loss_D_fake 0.003777
[1479/5000][355/535][152652] Loss_D: -0.018971 Loss_G: 0.003705 Loss_D_real: -0.017030 Loss_D_fake 0.001941
[1479/5000][360/535][152653] Loss_D: -0.020137 Loss_G: 0.006010 Loss_D_real: -0.022812 Loss_D_fake -0.002675
[1479/5000][365/535][152654] Loss_D: -0.019823 Loss_G: -0.008428 Loss_D_real: -0.008367 Loss_D_fake 0.011457
[1479/5000][370/535][152655] Loss_D: -0.019092 Loss_G: -0.003497 Loss_D_real: -0.020426 Loss_D_fake -0.001334
[1479/5000][375/535][152656] Loss_D: -0.019595 Loss_G: 0.005891 Loss_D_real: -0.013562 Loss_D_fake 0.006033
[1479/5000][380/535][152657] Loss_D: -0.020046 Loss_G: 0.015868 Loss_D_real: -0.019292 Loss_D_fake 0.000755
[1479/5000][385/535][152658] Loss_D: -0.020239 Loss_G: 0.000455 Loss_D_real: -0.001603 Loss_D_fake 0.018636
[1479/5000][390/535][152659] Loss_D: -0.018923 Loss_G: 0.026358 Loss_D_real: -0.015762 Loss_D_fake 0.003161
[1479/5000][395/535][152660] Loss_D: -0.019262 Loss_G: 0.008291 Loss_D_real: -0.012131 Loss_D_fake 0.007131
[1479/5000][400/535][152661] Loss_D: -0.020087 Loss_G: -0.001074 Loss_D_real: -0.005739 Loss_D_fake 0.014348
[1479/5000][405/535][152662] Loss_D: -0.019846 Loss_G: 0.010657 Loss_D_real: -0.017162 Loss_D_fake 0.002684
[1479/5000][410/535][152663] Loss_D: -0.018503 Loss_G: -0.006462 Loss_D_real: -0.005300 Loss_D_fake 0.013203
[1479/5000][415/535][152664] Loss_D: -0.019336 Loss_G: 0.021775 Loss_D_real: -0.026345 Loss_D_fake -0.007008
[1479/5000][420/535][152665] Loss_D: -0.020582 Loss_G: -0.001455 Loss_D_real: -0.016803 Loss_D_fake 0.003778
[1479/5000][425/535][152666] Loss_D: -0.018299 Loss_G: -0.019799 Loss_D_real: 0.006909 Loss_D_fake 0.025208
[1479/5000][430/535][152667] Loss_D: -0.018129 Loss_G: 0.025582 Loss_D_real: -0.023093 Loss_D_fake -0.004964
[1479/5000][435/535][152668] Loss_D: -0.020214 Loss_G: 0.021323 Loss_D_real: -0.009906 Loss_D_fake 0.010308
[1479/5000][440/535][152669] Loss_D: -0.020488 Loss_G: 0.004876 Loss_D_real: -0.018222 Loss_D_fake 0.002266
[1479/5000][445/535][152670] Loss_D: -0.020910 Loss_G: 0.001783 Loss_D_real: -0.000845 Loss_D_fake 0.020065
[1479/5000][450/535][152671] Loss_D: -0.020252 Loss_G: -0.006097 Loss_D_real: -0.021520 Loss_D_fake -0.001268
[1479/5000][455/535][152672] Loss_D: -0.019924 Loss_G: 0.024878 Loss_D_real: -0.029447 Loss_D_fake -0.009524
[1479/5000][460/535][152673] Loss_D: -0.019471 Loss_G: 0.001403 Loss_D_real: -0.010652 Loss_D_fake 0.008819
[1479/5000][465/535][152674] Loss_D: -0.020150 Loss_G: 0.002770 Loss_D_real: -0.011655 Loss_D_fake 0.008495
[1479/5000][470/535][152675] Loss_D: -0.020121 Loss_G: -0.001345 Loss_D_real: -0.019412 Loss_D_fake 0.000709
[1479/5000][475/535][152676] Loss_D: -0.020599 Loss_G: 0.001844 Loss_D_real: -0.008603 Loss_D_fake 0.011996
[1479/5000][480/535][152677] Loss_D: -0.020865 Loss_G: -0.000170 Loss_D_real: -0.015478 Loss_D_fake 0.005387
[1479/5000][485/535][152678] Loss_D: -0.018838 Loss_G: -0.016600 Loss_D_real: -0.002127 Loss_D_fake 0.016711
[1479/5000][490/535][152679] Loss_D: -0.018376 Loss_G: 0.024925 Loss_D_real: -0.021696 Loss_D_fake -0.003320
[1479/5000][495/535][152680] Loss_D: -0.019186 Loss_G: -0.001171 Loss_D_real: -0.005195 Loss_D_fake 0.013991
[1479/5000][500/535][152681] Loss_D: -0.018653 Loss_G: -0.003169 Loss_D_real: -0.000071 Loss_D_fake 0.018582
[1479/5000][505/535][152682] Loss_D: -0.019152 Loss_G: 0.013041 Loss_D_real: -0.018295 Loss_D_fake 0.000857
[1479/5000][510/535][152683] Loss_D: -0.020118 Loss_G: 0.009823 Loss_D_real: -0.009530 Loss_D_fake 0.010588
[1479/5000][515/535][152684] Loss_D: -0.020323 Loss_G: -0.004424 Loss_D_real: -0.017277 Loss_D_fake 0.003046
[1479/5000][520/535][152685] Loss_D: -0.020931 Loss_G: -0.003748 Loss_D_real: -0.019102 Loss_D_fake 0.001830
[1479/5000][525/535][152686] Loss_D: -0.019859 Loss_G: 0.019884 Loss_D_real: -0.030699 Loss_D_fake -0.010840
[1479/5000][530/535][152687] Loss_D: -0.020941 Loss_G: 0.010592 Loss_D_real: -0.014993 Loss_D_fake 0.005948
[1479/5000][535/535][152688] Loss_D: -0.021873 Loss_G: -0.010878 Loss_D_real: -0.000443 Loss_D_fake 0.021430
[1480/5000][5/535][152689] Loss_D: -0.020817 Loss_G: 0.014580 Loss_D_real: -0.013260 Loss_D_fake 0.007558
[1480/5000][10/535][152690] Loss_D: -0.020958 Loss_G: 0.004386 Loss_D_real: -0.024804 Loss_D_fake -0.003846
[1480/5000][15/535][152691] Loss_D: -0.019894 Loss_G: 0.001672 Loss_D_real: -0.028110 Loss_D_fake -0.008216
[1480/5000][20/535][152692] Loss_D: -0.021627 Loss_G: 0.009842 Loss_D_real: -0.006646 Loss_D_fake 0.014981
[1480/5000][25/535][152693] Loss_D: -0.020900 Loss_G: 0.003120 Loss_D_real: -0.008560 Loss_D_fake 0.012340
[1480/5000][30/535][152694] Loss_D: -0.019240 Loss_G: -0.018841 Loss_D_real: 0.003488 Loss_D_fake 0.022728
[1480/5000][35/535][152695] Loss_D: -0.022136 Loss_G: 0.018078 Loss_D_real: -0.019919 Loss_D_fake 0.002217
[1480/5000][40/535][152696] Loss_D: -0.019793 Loss_G: 0.002866 Loss_D_real: -0.012502 Loss_D_fake 0.007291
[1480/5000][45/535][152697] Loss_D: -0.020543 Loss_G: 0.005022 Loss_D_real: -0.012410 Loss_D_fake 0.008133
[1480/5000][50/535][152698] Loss_D: -0.019481 Loss_G: 0.010432 Loss_D_real: -0.020238 Loss_D_fake -0.000757
[1480/5000][55/535][152699] Loss_D: -0.018909 Loss_G: 0.007093 Loss_D_real: -0.019984 Loss_D_fake -0.001075
[1480/5000][60/535][152700] Loss_D: -0.019843 Loss_G: 0.023002 Loss_D_real: -0.024533 Loss_D_fake -0.004689
[1480/5000][65/535][152701] Loss_D: -0.020095 Loss_G: 0.002018 Loss_D_real: -0.027935 Loss_D_fake -0.007841
[1480/5000][70/535][152702] Loss_D: -0.020817 Loss_G: -0.005038 Loss_D_real: -0.006740 Loss_D_fake 0.014077
[1480/5000][75/535][152703] Loss_D: -0.019660 Loss_G: 0.000001 Loss_D_real: -0.008946 Loss_D_fake 0.010714
[1480/5000][80/535][152704] Loss_D: -0.022078 Loss_G: 0.009363 Loss_D_real: -0.009872 Loss_D_fake 0.012206
[1480/5000][85/535][152705] Loss_D: -0.020791 Loss_G: -0.010934 Loss_D_real: -0.006965 Loss_D_fake 0.013827
[1480/5000][90/535][152706] Loss_D: -0.018905 Loss_G: 0.014488 Loss_D_real: -0.021235 Loss_D_fake -0.002330
[1480/5000][95/535][152707] Loss_D: -0.020263 Loss_G: 0.015044 Loss_D_real: -0.009983 Loss_D_fake 0.010280
[1480/5000][100/535][152708] Loss_D: -0.018568 Loss_G: -0.010776 Loss_D_real: -0.009035 Loss_D_fake 0.009533
[1480/5000][105/535][152709] Loss_D: -0.019578 Loss_G: 0.015228 Loss_D_real: -0.011752 Loss_D_fake 0.007826
[1480/5000][110/535][152710] Loss_D: -0.018096 Loss_G: 0.018643 Loss_D_real: -0.034402 Loss_D_fake -0.016306
[1480/5000][115/535][152711] Loss_D: -0.019770 Loss_G: -0.000557 Loss_D_real: -0.020204 Loss_D_fake -0.000434
[1480/5000][120/535][152712] Loss_D: -0.020381 Loss_G: -0.003798 Loss_D_real: -0.006748 Loss_D_fake 0.013633
[1480/5000][125/535][152713] Loss_D: -0.020287 Loss_G: 0.011174 Loss_D_real: -0.010642 Loss_D_fake 0.009645
[1480/5000][130/535][152714] Loss_D: -0.019805 Loss_G: 0.004586 Loss_D_real: -0.014169 Loss_D_fake 0.005636
[1480/5000][135/535][152715] Loss_D: -0.018826 Loss_G: 0.019816 Loss_D_real: -0.022376 Loss_D_fake -0.003550
[1480/5000][140/535][152716] Loss_D: -0.020633 Loss_G: 0.023160 Loss_D_real: -0.018282 Loss_D_fake 0.002351
[1480/5000][145/535][152717] Loss_D: -0.019634 Loss_G: -0.005595 Loss_D_real: -0.007607 Loss_D_fake 0.012027
[1480/5000][150/535][152718] Loss_D: -0.018814 Loss_G: 0.020271 Loss_D_real: -0.030842 Loss_D_fake -0.012028
[1480/5000][155/535][152719] Loss_D: -0.020368 Loss_G: 0.010244 Loss_D_real: -0.018463 Loss_D_fake 0.001905
[1480/5000][160/535][152720] Loss_D: -0.019928 Loss_G: 0.000235 Loss_D_real: -0.013125 Loss_D_fake 0.006803
[1480/5000][165/535][152721] Loss_D: -0.019197 Loss_G: 0.001124 Loss_D_real: -0.013006 Loss_D_fake 0.006192
[1480/5000][170/535][152722] Loss_D: -0.018719 Loss_G: 0.009312 Loss_D_real: -0.013267 Loss_D_fake 0.005452
[1480/5000][175/535][152723] Loss_D: -0.018660 Loss_G: 0.011948 Loss_D_real: -0.014005 Loss_D_fake 0.004655
[1480/5000][180/535][152724] Loss_D: -0.018678 Loss_G: 0.001983 Loss_D_real: -0.033530 Loss_D_fake -0.014852
[1480/5000][185/535][152725] Loss_D: -0.019478 Loss_G: 0.022522 Loss_D_real: -0.017430 Loss_D_fake 0.002048
[1480/5000][190/535][152726] Loss_D: -0.020282 Loss_G: 0.002076 Loss_D_real: -0.008673 Loss_D_fake 0.011608
[1480/5000][195/535][152727] Loss_D: -0.018167 Loss_G: 0.025594 Loss_D_real: -0.027085 Loss_D_fake -0.008918
[1480/5000][200/535][152728] Loss_D: -0.019239 Loss_G: 0.020701 Loss_D_real: -0.026490 Loss_D_fake -0.007252
[1480/5000][205/535][152729] Loss_D: -0.020310 Loss_G: -0.002973 Loss_D_real: -0.015513 Loss_D_fake 0.004797
[1480/5000][210/535][152730] Loss_D: -0.018469 Loss_G: -0.009608 Loss_D_real: 0.007174 Loss_D_fake 0.025643
[1480/5000][215/535][152731] Loss_D: -0.019588 Loss_G: 0.025819 Loss_D_real: -0.022254 Loss_D_fake -0.002666
[1480/5000][220/535][152732] Loss_D: -0.019396 Loss_G: 0.016059 Loss_D_real: -0.023291 Loss_D_fake -0.003894
[1480/5000][225/535][152733] Loss_D: -0.020412 Loss_G: 0.005679 Loss_D_real: -0.017708 Loss_D_fake 0.002704
[1480/5000][230/535][152734] Loss_D: -0.019234 Loss_G: -0.008257 Loss_D_real: -0.009028 Loss_D_fake 0.010207
[1480/5000][235/535][152735] Loss_D: -0.018945 Loss_G: 0.023656 Loss_D_real: -0.034805 Loss_D_fake -0.015859
[1480/5000][240/535][152736] Loss_D: -0.019386 Loss_G: 0.009415 Loss_D_real: -0.017308 Loss_D_fake 0.002078
[1480/5000][245/535][152737] Loss_D: -0.018974 Loss_G: 0.021259 Loss_D_real: -0.027565 Loss_D_fake -0.008592
[1480/5000][250/535][152738] Loss_D: -0.019341 Loss_G: 0.013271 Loss_D_real: -0.025399 Loss_D_fake -0.006058
[1480/5000][255/535][152739] Loss_D: -0.020388 Loss_G: 0.000794 Loss_D_real: -0.018407 Loss_D_fake 0.001981
[1480/5000][260/535][152740] Loss_D: -0.019781 Loss_G: 0.018606 Loss_D_real: -0.018878 Loss_D_fake 0.000903
[1480/5000][265/535][152741] Loss_D: -0.019919 Loss_G: 0.011848 Loss_D_real: -0.013738 Loss_D_fake 0.006181
[1480/5000][270/535][152742] Loss_D: -0.020080 Loss_G: 0.008031 Loss_D_real: -0.022249 Loss_D_fake -0.002169
[1480/5000][275/535][152743] Loss_D: -0.018891 Loss_G: 0.020179 Loss_D_real: -0.017178 Loss_D_fake 0.001713
[1480/5000][280/535][152744] Loss_D: -0.020794 Loss_G: 0.033018 Loss_D_real: -0.032081 Loss_D_fake -0.011287
[1480/5000][285/535][152745] Loss_D: -0.018297 Loss_G: 0.008433 Loss_D_real: -0.032744 Loss_D_fake -0.014447
[1480/5000][290/535][152746] Loss_D: -0.020998 Loss_G: 0.001425 Loss_D_real: -0.019907 Loss_D_fake 0.001091
[1480/5000][295/535][152747] Loss_D: -0.020691 Loss_G: 0.004378 Loss_D_real: -0.007696 Loss_D_fake 0.012995
[1480/5000][300/535][152748] Loss_D: -0.019804 Loss_G: 0.017660 Loss_D_real: -0.015534 Loss_D_fake 0.004270
[1480/5000][305/535][152749] Loss_D: -0.020218 Loss_G: 0.001740 Loss_D_real: -0.003474 Loss_D_fake 0.016744
[1480/5000][310/535][152750] Loss_D: -0.019877 Loss_G: 0.008382 Loss_D_real: -0.007016 Loss_D_fake 0.012861
[1480/5000][315/535][152751] Loss_D: -0.020030 Loss_G: 0.005549 Loss_D_real: -0.006509 Loss_D_fake 0.013521
[1480/5000][320/535][152752] Loss_D: -0.021123 Loss_G: 0.028749 Loss_D_real: -0.030434 Loss_D_fake -0.009312
[1480/5000][325/535][152753] Loss_D: -0.020853 Loss_G: -0.011736 Loss_D_real: -0.012856 Loss_D_fake 0.007997
[1480/5000][330/535][152754] Loss_D: -0.021002 Loss_G: 0.004945 Loss_D_real: -0.025898 Loss_D_fake -0.004896
[1480/5000][335/535][152755] Loss_D: -0.019667 Loss_G: 0.020907 Loss_D_real: -0.023573 Loss_D_fake -0.003906
[1480/5000][340/535][152756] Loss_D: -0.019562 Loss_G: 0.023330 Loss_D_real: -0.028759 Loss_D_fake -0.009197
[1480/5000][345/535][152757] Loss_D: -0.020993 Loss_G: 0.003436 Loss_D_real: -0.018702 Loss_D_fake 0.002291
[1480/5000][350/535][152758] Loss_D: -0.018705 Loss_G: 0.031124 Loss_D_real: -0.026893 Loss_D_fake -0.008188
[1480/5000][355/535][152759] Loss_D: -0.020533 Loss_G: 0.011900 Loss_D_real: -0.006272 Loss_D_fake 0.014260
[1480/5000][360/535][152760] Loss_D: -0.019783 Loss_G: 0.005429 Loss_D_real: -0.013344 Loss_D_fake 0.006439
[1480/5000][365/535][152761] Loss_D: -0.020593 Loss_G: -0.003330 Loss_D_real: -0.024368 Loss_D_fake -0.003775
[1480/5000][370/535][152762] Loss_D: -0.021134 Loss_G: 0.012544 Loss_D_real: -0.014370 Loss_D_fake 0.006765
[1480/5000][375/535][152763] Loss_D: -0.021092 Loss_G: -0.002149 Loss_D_real: -0.013235 Loss_D_fake 0.007857
[1480/5000][380/535][152764] Loss_D: -0.021373 Loss_G: 0.003037 Loss_D_real: -0.017189 Loss_D_fake 0.004184
[1480/5000][385/535][152765] Loss_D: -0.018727 Loss_G: 0.035545 Loss_D_real: -0.034817 Loss_D_fake -0.016090
[1480/5000][390/535][152766] Loss_D: -0.019782 Loss_G: -0.003052 Loss_D_real: 0.003512 Loss_D_fake 0.023294
[1480/5000][395/535][152767] Loss_D: -0.020451 Loss_G: -0.007844 Loss_D_real: -0.006102 Loss_D_fake 0.014349
[1480/5000][400/535][152768] Loss_D: -0.019445 Loss_G: 0.007727 Loss_D_real: -0.029586 Loss_D_fake -0.010140
[1480/5000][405/535][152769] Loss_D: -0.021135 Loss_G: 0.011809 Loss_D_real: -0.024660 Loss_D_fake -0.003525
[1480/5000][410/535][152770] Loss_D: -0.020486 Loss_G: 0.019193 Loss_D_real: -0.021806 Loss_D_fake -0.001321
[1480/5000][415/535][152771] Loss_D: -0.019303 Loss_G: 0.005427 Loss_D_real: -0.027335 Loss_D_fake -0.008031
[1480/5000][420/535][152772] Loss_D: -0.019601 Loss_G: 0.019023 Loss_D_real: -0.028203 Loss_D_fake -0.008601
[1480/5000][425/535][152773] Loss_D: -0.019500 Loss_G: -0.015459 Loss_D_real: -0.006656 Loss_D_fake 0.012844
[1480/5000][430/535][152774] Loss_D: -0.019583 Loss_G: -0.000229 Loss_D_real: -0.013269 Loss_D_fake 0.006314
[1480/5000][435/535][152775] Loss_D: -0.019656 Loss_G: 0.006057 Loss_D_real: -0.016005 Loss_D_fake 0.003651
[1480/5000][440/535][152776] Loss_D: -0.019903 Loss_G: 0.013472 Loss_D_real: -0.024867 Loss_D_fake -0.004964
[1480/5000][445/535][152777] Loss_D: -0.019303 Loss_G: 0.005116 Loss_D_real: -0.015225 Loss_D_fake 0.004078
[1480/5000][450/535][152778] Loss_D: -0.019328 Loss_G: 0.011307 Loss_D_real: -0.012482 Loss_D_fake 0.006846
[1480/5000][455/535][152779] Loss_D: -0.016733 Loss_G: -0.026131 Loss_D_real: 0.008262 Loss_D_fake 0.024995
[1480/5000][460/535][152780] Loss_D: -0.020871 Loss_G: 0.019316 Loss_D_real: -0.018005 Loss_D_fake 0.002866
[1480/5000][465/535][152781] Loss_D: -0.019118 Loss_G: 0.016982 Loss_D_real: -0.019747 Loss_D_fake -0.000629
[1480/5000][470/535][152782] Loss_D: -0.020468 Loss_G: 0.002035 Loss_D_real: -0.010244 Loss_D_fake 0.010223
[1480/5000][475/535][152783] Loss_D: -0.020863 Loss_G: -0.008452 Loss_D_real: -0.009748 Loss_D_fake 0.011115
[1480/5000][480/535][152784] Loss_D: -0.019016 Loss_G: 0.003663 Loss_D_real: -0.004232 Loss_D_fake 0.014785
[1480/5000][485/535][152785] Loss_D: -0.019538 Loss_G: 0.027783 Loss_D_real: -0.029140 Loss_D_fake -0.009603
[1480/5000][490/535][152786] Loss_D: -0.020562 Loss_G: 0.015486 Loss_D_real: -0.010031 Loss_D_fake 0.010531
[1480/5000][495/535][152787] Loss_D: -0.017581 Loss_G: 0.026048 Loss_D_real: -0.035837 Loss_D_fake -0.018256
[1480/5000][500/535][152788] Loss_D: -0.019482 Loss_G: 0.005764 Loss_D_real: -0.013159 Loss_D_fake 0.006323
[1480/5000][505/535][152789] Loss_D: -0.020309 Loss_G: 0.007522 Loss_D_real: -0.008232 Loss_D_fake 0.012076
[1480/5000][510/535][152790] Loss_D: -0.020474 Loss_G: -0.002785 Loss_D_real: -0.007522 Loss_D_fake 0.012952
[1480/5000][515/535][152791] Loss_D: -0.018733 Loss_G: 0.021580 Loss_D_real: -0.024396 Loss_D_fake -0.005663
[1480/5000][520/535][152792] Loss_D: -0.020787 Loss_G: 0.005727 Loss_D_real: -0.019245 Loss_D_fake 0.001542
[1480/5000][525/535][152793] Loss_D: -0.021524 Loss_G: 0.001338 Loss_D_real: -0.022075 Loss_D_fake -0.000551
[1480/5000][530/535][152794] Loss_D: -0.021162 Loss_G: 0.014831 Loss_D_real: -0.022531 Loss_D_fake -0.001368
[1480/5000][535/535][152795] Loss_D: -0.021211 Loss_G: 0.020960 Loss_D_real: -0.011035 Loss_D_fake 0.010175
[1481/5000][5/535][152796] Loss_D: -0.020435 Loss_G: 0.030223 Loss_D_real: -0.024475 Loss_D_fake -0.004040
[1481/5000][10/535][152797] Loss_D: -0.019176 Loss_G: -0.010904 Loss_D_real: -0.008795 Loss_D_fake 0.010381
[1481/5000][15/535][152798] Loss_D: -0.019186 Loss_G: 0.017387 Loss_D_real: -0.034726 Loss_D_fake -0.015540
[1481/5000][20/535][152799] Loss_D: -0.020856 Loss_G: 0.013407 Loss_D_real: -0.024948 Loss_D_fake -0.004092
[1481/5000][25/535][152800] Loss_D: -0.019378 Loss_G: 0.004901 Loss_D_real: -0.003443 Loss_D_fake 0.015935
[1481/5000][30/535][152801] Loss_D: -0.019651 Loss_G: 0.015276 Loss_D_real: -0.016602 Loss_D_fake 0.003049
[1481/5000][35/535][152802] Loss_D: -0.020703 Loss_G: 0.002085 Loss_D_real: -0.020950 Loss_D_fake -0.000247
[1481/5000][40/535][152803] Loss_D: -0.020061 Loss_G: 0.004345 Loss_D_real: -0.007998 Loss_D_fake 0.012063
[1481/5000][45/535][152804] Loss_D: -0.019887 Loss_G: -0.003905 Loss_D_real: -0.012748 Loss_D_fake 0.007139
[1481/5000][50/535][152805] Loss_D: -0.021264 Loss_G: 0.010612 Loss_D_real: -0.008296 Loss_D_fake 0.012969
[1481/5000][55/535][152806] Loss_D: -0.020977 Loss_G: 0.018157 Loss_D_real: -0.012730 Loss_D_fake 0.008247
[1481/5000][60/535][152807] Loss_D: -0.019958 Loss_G: -0.007509 Loss_D_real: -0.008607 Loss_D_fake 0.011351
[1481/5000][65/535][152808] Loss_D: -0.018977 Loss_G: 0.023748 Loss_D_real: -0.024610 Loss_D_fake -0.005633
[1481/5000][70/535][152809] Loss_D: -0.019837 Loss_G: 0.000132 Loss_D_real: -0.008305 Loss_D_fake 0.011532
[1481/5000][75/535][152810] Loss_D: -0.020137 Loss_G: 0.020264 Loss_D_real: -0.026655 Loss_D_fake -0.006518
[1481/5000][80/535][152811] Loss_D: -0.019245 Loss_G: 0.019587 Loss_D_real: -0.017939 Loss_D_fake 0.001305
[1481/5000][85/535][152812] Loss_D: -0.019895 Loss_G: 0.005248 Loss_D_real: -0.006879 Loss_D_fake 0.013015
[1481/5000][90/535][152813] Loss_D: -0.018632 Loss_G: 0.003976 Loss_D_real: -0.016132 Loss_D_fake 0.002501
[1481/5000][95/535][152814] Loss_D: -0.019699 Loss_G: 0.012107 Loss_D_real: -0.031334 Loss_D_fake -0.011635
[1481/5000][100/535][152815] Loss_D: -0.020690 Loss_G: 0.003348 Loss_D_real: -0.022301 Loss_D_fake -0.001611
[1481/5000][105/535][152816] Loss_D: -0.019671 Loss_G: 0.008143 Loss_D_real: -0.015784 Loss_D_fake 0.003886
[1481/5000][110/535][152817] Loss_D: -0.017925 Loss_G: 0.005356 Loss_D_real: -0.013019 Loss_D_fake 0.004906
[1481/5000][115/535][152818] Loss_D: -0.019766 Loss_G: 0.001272 Loss_D_real: -0.013199 Loss_D_fake 0.006568
[1481/5000][120/535][152819] Loss_D: -0.019639 Loss_G: 0.027153 Loss_D_real: -0.022901 Loss_D_fake -0.003262
[1481/5000][125/535][152820] Loss_D: -0.020935 Loss_G: 0.003962 Loss_D_real: -0.011339 Loss_D_fake 0.009596
[1481/5000][130/535][152821] Loss_D: -0.019127 Loss_G: 0.004610 Loss_D_real: -0.007454 Loss_D_fake 0.011673
[1481/5000][135/535][152822] Loss_D: -0.019824 Loss_G: 0.015808 Loss_D_real: -0.025786 Loss_D_fake -0.005962
[1481/5000][140/535][152823] Loss_D: -0.020698 Loss_G: 0.014695 Loss_D_real: -0.035152 Loss_D_fake -0.014455
[1481/5000][145/535][152824] Loss_D: -0.019240 Loss_G: 0.021270 Loss_D_real: -0.026859 Loss_D_fake -0.007618
[1481/5000][150/535][152825] Loss_D: -0.019731 Loss_G: -0.005153 Loss_D_real: -0.004075 Loss_D_fake 0.015656
[1481/5000][155/535][152826] Loss_D: -0.021006 Loss_G: 0.010847 Loss_D_real: -0.018422 Loss_D_fake 0.002584
[1481/5000][160/535][152827] Loss_D: -0.019892 Loss_G: 0.018091 Loss_D_real: -0.016405 Loss_D_fake 0.003487
[1481/5000][165/535][152828] Loss_D: -0.018725 Loss_G: 0.026683 Loss_D_real: -0.030515 Loss_D_fake -0.011790
[1481/5000][170/535][152829] Loss_D: -0.019620 Loss_G: -0.007118 Loss_D_real: -0.014428 Loss_D_fake 0.005193
[1481/5000][175/535][152830] Loss_D: -0.020079 Loss_G: 0.000464 Loss_D_real: -0.013174 Loss_D_fake 0.006905
[1481/5000][180/535][152831] Loss_D: -0.019333 Loss_G: 0.021392 Loss_D_real: -0.009715 Loss_D_fake 0.009618
[1481/5000][185/535][152832] Loss_D: -0.019724 Loss_G: -0.010055 Loss_D_real: -0.007667 Loss_D_fake 0.012057
[1481/5000][190/535][152833] Loss_D: -0.020077 Loss_G: 0.018712 Loss_D_real: -0.010424 Loss_D_fake 0.009652
[1481/5000][195/535][152834] Loss_D: -0.019391 Loss_G: -0.002667 Loss_D_real: -0.027790 Loss_D_fake -0.008398
[1481/5000][200/535][152835] Loss_D: -0.019402 Loss_G: 0.020959 Loss_D_real: -0.018318 Loss_D_fake 0.001084
[1481/5000][205/535][152836] Loss_D: -0.018092 Loss_G: 0.022842 Loss_D_real: -0.031107 Loss_D_fake -0.013015
[1481/5000][210/535][152837] Loss_D: -0.021014 Loss_G: 0.010075 Loss_D_real: -0.023812 Loss_D_fake -0.002798
[1481/5000][215/535][152838] Loss_D: -0.020462 Loss_G: 0.011743 Loss_D_real: -0.019601 Loss_D_fake 0.000861
[1481/5000][220/535][152839] Loss_D: -0.018626 Loss_G: -0.003277 Loss_D_real: -0.019541 Loss_D_fake -0.000915
[1481/5000][225/535][152840] Loss_D: -0.018848 Loss_G: 0.030105 Loss_D_real: -0.029727 Loss_D_fake -0.010879
[1481/5000][230/535][152841] Loss_D: -0.019391 Loss_G: 0.008835 Loss_D_real: -0.015408 Loss_D_fake 0.003983
[1481/5000][235/535][152842] Loss_D: -0.018162 Loss_G: 0.025192 Loss_D_real: -0.035172 Loss_D_fake -0.017010
[1481/5000][240/535][152843] Loss_D: -0.019327 Loss_G: 0.011984 Loss_D_real: -0.026507 Loss_D_fake -0.007180
[1481/5000][245/535][152844] Loss_D: -0.018977 Loss_G: 0.020696 Loss_D_real: -0.014474 Loss_D_fake 0.004503
[1481/5000][250/535][152845] Loss_D: -0.020339 Loss_G: -0.012653 Loss_D_real: -0.011950 Loss_D_fake 0.008390
[1481/5000][255/535][152846] Loss_D: -0.019915 Loss_G: -0.002698 Loss_D_real: -0.021757 Loss_D_fake -0.001842
[1481/5000][260/535][152847] Loss_D: -0.018392 Loss_G: -0.009229 Loss_D_real: 0.001492 Loss_D_fake 0.019884
[1481/5000][265/535][152848] Loss_D: -0.019590 Loss_G: 0.017615 Loss_D_real: -0.014696 Loss_D_fake 0.004894
[1481/5000][270/535][152849] Loss_D: -0.019933 Loss_G: 0.013706 Loss_D_real: -0.005991 Loss_D_fake 0.013941
[1481/5000][275/535][152850] Loss_D: -0.020672 Loss_G: 0.008207 Loss_D_real: -0.015039 Loss_D_fake 0.005634
[1481/5000][280/535][152851] Loss_D: -0.019607 Loss_G: 0.034808 Loss_D_real: -0.040794 Loss_D_fake -0.021187
[1481/5000][285/535][152852] Loss_D: -0.020607 Loss_G: 0.019985 Loss_D_real: -0.026787 Loss_D_fake -0.006181
[1481/5000][290/535][152853] Loss_D: -0.019033 Loss_G: 0.027475 Loss_D_real: -0.030159 Loss_D_fake -0.011125
[1481/5000][295/535][152854] Loss_D: -0.020261 Loss_G: 0.009067 Loss_D_real: -0.027773 Loss_D_fake -0.007512
[1481/5000][300/535][152855] Loss_D: -0.021806 Loss_G: 0.003068 Loss_D_real: -0.014479 Loss_D_fake 0.007328
[1481/5000][305/535][152856] Loss_D: -0.020566 Loss_G: 0.007585 Loss_D_real: -0.026874 Loss_D_fake -0.006307
[1481/5000][310/535][152857] Loss_D: -0.019945 Loss_G: -0.011770 Loss_D_real: -0.013692 Loss_D_fake 0.006253
[1481/5000][315/535][152858] Loss_D: -0.019076 Loss_G: 0.007598 Loss_D_real: -0.011790 Loss_D_fake 0.007286
[1481/5000][320/535][152859] Loss_D: -0.020522 Loss_G: 0.024545 Loss_D_real: -0.019256 Loss_D_fake 0.001266
[1481/5000][325/535][152860] Loss_D: -0.019729 Loss_G: -0.010041 Loss_D_real: -0.011832 Loss_D_fake 0.007897
[1481/5000][330/535][152861] Loss_D: -0.020744 Loss_G: 0.019326 Loss_D_real: -0.020191 Loss_D_fake 0.000553
[1481/5000][335/535][152862] Loss_D: -0.021520 Loss_G: 0.007829 Loss_D_real: -0.026154 Loss_D_fake -0.004635
[1481/5000][340/535][152863] Loss_D: -0.019465 Loss_G: 0.009149 Loss_D_real: -0.017615 Loss_D_fake 0.001850
[1481/5000][345/535][152864] Loss_D: -0.019486 Loss_G: 0.018822 Loss_D_real: -0.024853 Loss_D_fake -0.005367
[1481/5000][350/535][152865] Loss_D: -0.020440 Loss_G: 0.011941 Loss_D_real: -0.012249 Loss_D_fake 0.008191
[1481/5000][355/535][152866] Loss_D: -0.019599 Loss_G: -0.010021 Loss_D_real: -0.004210 Loss_D_fake 0.015390
[1481/5000][360/535][152867] Loss_D: -0.019420 Loss_G: 0.016172 Loss_D_real: -0.018805 Loss_D_fake 0.000615
[1481/5000][365/535][152868] Loss_D: -0.020075 Loss_G: 0.001697 Loss_D_real: -0.025808 Loss_D_fake -0.005733
[1481/5000][370/535][152869] Loss_D: -0.019131 Loss_G: 0.008096 Loss_D_real: -0.013028 Loss_D_fake 0.006103
[1481/5000][375/535][152870] Loss_D: -0.019063 Loss_G: 0.022241 Loss_D_real: -0.019596 Loss_D_fake -0.000532
[1481/5000][380/535][152871] Loss_D: -0.018566 Loss_G: 0.018348 Loss_D_real: -0.028403 Loss_D_fake -0.009837
[1481/5000][385/535][152872] Loss_D: -0.019485 Loss_G: 0.018428 Loss_D_real: -0.024212 Loss_D_fake -0.004727
[1481/5000][390/535][152873] Loss_D: -0.020250 Loss_G: 0.015245 Loss_D_real: -0.023157 Loss_D_fake -0.002907
[1481/5000][395/535][152874] Loss_D: -0.019971 Loss_G: 0.000759 Loss_D_real: -0.006211 Loss_D_fake 0.013760
[1481/5000][400/535][152875] Loss_D: -0.020836 Loss_G: 0.009537 Loss_D_real: -0.022524 Loss_D_fake -0.001688
[1481/5000][405/535][152876] Loss_D: -0.018483 Loss_G: 0.010399 Loss_D_real: -0.020711 Loss_D_fake -0.002228
[1481/5000][410/535][152877] Loss_D: -0.020087 Loss_G: -0.015436 Loss_D_real: -0.001994 Loss_D_fake 0.018093
[1481/5000][415/535][152878] Loss_D: -0.019870 Loss_G: -0.000097 Loss_D_real: -0.013568 Loss_D_fake 0.006303
[1481/5000][420/535][152879] Loss_D: -0.018306 Loss_G: 0.010492 Loss_D_real: -0.023594 Loss_D_fake -0.005288
[1481/5000][425/535][152880] Loss_D: -0.018308 Loss_G: -0.007497 Loss_D_real: -0.007493 Loss_D_fake 0.010814
[1481/5000][430/535][152881] Loss_D: -0.018923 Loss_G: 0.003976 Loss_D_real: -0.010275 Loss_D_fake 0.008648
[1481/5000][435/535][152882] Loss_D: -0.018897 Loss_G: 0.022710 Loss_D_real: -0.019779 Loss_D_fake -0.000882
[1481/5000][440/535][152883] Loss_D: -0.019851 Loss_G: -0.000258 Loss_D_real: -0.013918 Loss_D_fake 0.005933
[1481/5000][445/535][152884] Loss_D: -0.019145 Loss_G: -0.003102 Loss_D_real: -0.016362 Loss_D_fake 0.002784
[1481/5000][450/535][152885] Loss_D: -0.019782 Loss_G: -0.015958 Loss_D_real: 0.001162 Loss_D_fake 0.020943
[1481/5000][455/535][152886] Loss_D: -0.019481 Loss_G: -0.008545 Loss_D_real: -0.000007 Loss_D_fake 0.019474
[1481/5000][460/535][152887] Loss_D: -0.020430 Loss_G: 0.012633 Loss_D_real: -0.008315 Loss_D_fake 0.012115
[1481/5000][465/535][152888] Loss_D: -0.019642 Loss_G: -0.005567 Loss_D_real: -0.008800 Loss_D_fake 0.010842
[1481/5000][470/535][152889] Loss_D: -0.021120 Loss_G: -0.003372 Loss_D_real: -0.011923 Loss_D_fake 0.009197
[1481/5000][475/535][152890] Loss_D: -0.020709 Loss_G: 0.002384 Loss_D_real: -0.014308 Loss_D_fake 0.006401
[1481/5000][480/535][152891] Loss_D: -0.019949 Loss_G: -0.002346 Loss_D_real: -0.022524 Loss_D_fake -0.002576
[1481/5000][485/535][152892] Loss_D: -0.019945 Loss_G: 0.013021 Loss_D_real: -0.022352 Loss_D_fake -0.002407
[1481/5000][490/535][152893] Loss_D: -0.019701 Loss_G: -0.000518 Loss_D_real: -0.013470 Loss_D_fake 0.006231
[1481/5000][495/535][152894] Loss_D: -0.019762 Loss_G: 0.004461 Loss_D_real: -0.027624 Loss_D_fake -0.007862
[1481/5000][500/535][152895] Loss_D: -0.019367 Loss_G: -0.000739 Loss_D_real: -0.020514 Loss_D_fake -0.001147
[1481/5000][505/535][152896] Loss_D: -0.019261 Loss_G: 0.008334 Loss_D_real: -0.008446 Loss_D_fake 0.010816
[1481/5000][510/535][152897] Loss_D: -0.018996 Loss_G: 0.008243 Loss_D_real: -0.013380 Loss_D_fake 0.005615
[1481/5000][515/535][152898] Loss_D: -0.018092 Loss_G: -0.024377 Loss_D_real: -0.002430 Loss_D_fake 0.015662
[1481/5000][520/535][152899] Loss_D: -0.019572 Loss_G: 0.006531 Loss_D_real: -0.007377 Loss_D_fake 0.012195
[1481/5000][525/535][152900] Loss_D: -0.019533 Loss_G: -0.008114 Loss_D_real: -0.009988 Loss_D_fake 0.009545
[1481/5000][530/535][152901] Loss_D: -0.020509 Loss_G: 0.006630 Loss_D_real: -0.011658 Loss_D_fake 0.008852
[1481/5000][535/535][152902] Loss_D: -0.017330 Loss_G: 0.037722 Loss_D_real: -0.017931 Loss_D_fake -0.000601
[1482/5000][5/535][152903] Loss_D: -0.019837 Loss_G: -0.015166 Loss_D_real: -0.004109 Loss_D_fake 0.015728
[1482/5000][10/535][152904] Loss_D: -0.019321 Loss_G: 0.004134 Loss_D_real: -0.010250 Loss_D_fake 0.009071
[1482/5000][15/535][152905] Loss_D: -0.020119 Loss_G: 0.010428 Loss_D_real: -0.006580 Loss_D_fake 0.013538
[1482/5000][20/535][152906] Loss_D: -0.019792 Loss_G: 0.007616 Loss_D_real: -0.009583 Loss_D_fake 0.010210
[1482/5000][25/535][152907] Loss_D: -0.019980 Loss_G: 0.017544 Loss_D_real: -0.014777 Loss_D_fake 0.005203
[1482/5000][30/535][152908] Loss_D: -0.020226 Loss_G: 0.008294 Loss_D_real: -0.017278 Loss_D_fake 0.002948
[1482/5000][35/535][152909] Loss_D: -0.019625 Loss_G: 0.012486 Loss_D_real: -0.015309 Loss_D_fake 0.004316
[1482/5000][40/535][152910] Loss_D: -0.020698 Loss_G: -0.000545 Loss_D_real: -0.011822 Loss_D_fake 0.008877
[1482/5000][45/535][152911] Loss_D: -0.018581 Loss_G: 0.015129 Loss_D_real: -0.034478 Loss_D_fake -0.015897
[1482/5000][50/535][152912] Loss_D: -0.019465 Loss_G: 0.011239 Loss_D_real: -0.014319 Loss_D_fake 0.005146
[1482/5000][55/535][152913] Loss_D: -0.019655 Loss_G: 0.013559 Loss_D_real: -0.025846 Loss_D_fake -0.006192
[1482/5000][60/535][152914] Loss_D: -0.017838 Loss_G: 0.026460 Loss_D_real: -0.029590 Loss_D_fake -0.011753
[1482/5000][65/535][152915] Loss_D: -0.019736 Loss_G: 0.010197 Loss_D_real: -0.023770 Loss_D_fake -0.004034
[1482/5000][70/535][152916] Loss_D: -0.020200 Loss_G: 0.007490 Loss_D_real: -0.025434 Loss_D_fake -0.005234
[1482/5000][75/535][152917] Loss_D: -0.019846 Loss_G: -0.003015 Loss_D_real: -0.007817 Loss_D_fake 0.012029
[1482/5000][80/535][152918] Loss_D: -0.019108 Loss_G: 0.017534 Loss_D_real: -0.016870 Loss_D_fake 0.002238
[1482/5000][85/535][152919] Loss_D: -0.018994 Loss_G: 0.020588 Loss_D_real: -0.023797 Loss_D_fake -0.004802
[1482/5000][90/535][152920] Loss_D: -0.021233 Loss_G: -0.005593 Loss_D_real: -0.015636 Loss_D_fake 0.005597
[1482/5000][95/535][152921] Loss_D: -0.019577 Loss_G: 0.012182 Loss_D_real: -0.005155 Loss_D_fake 0.014422
[1482/5000][100/535][152922] Loss_D: -0.019170 Loss_G: 0.018616 Loss_D_real: -0.013825 Loss_D_fake 0.005345
[1482/5000][105/535][152923] Loss_D: -0.020233 Loss_G: 0.000982 Loss_D_real: -0.020853 Loss_D_fake -0.000620
[1482/5000][110/535][152924] Loss_D: -0.019836 Loss_G: -0.009453 Loss_D_real: 0.005437 Loss_D_fake 0.025272
[1482/5000][115/535][152925] Loss_D: -0.018120 Loss_G: 0.018703 Loss_D_real: -0.019964 Loss_D_fake -0.001843
[1482/5000][120/535][152926] Loss_D: -0.021472 Loss_G: -0.000314 Loss_D_real: -0.016562 Loss_D_fake 0.004910
[1482/5000][125/535][152927] Loss_D: -0.019103 Loss_G: 0.030425 Loss_D_real: -0.033336 Loss_D_fake -0.014233
[1482/5000][130/535][152928] Loss_D: -0.021528 Loss_G: -0.001866 Loss_D_real: 0.001680 Loss_D_fake 0.023208
[1482/5000][135/535][152929] Loss_D: -0.020039 Loss_G: -0.006627 Loss_D_real: 0.001866 Loss_D_fake 0.021906
[1482/5000][140/535][152930] Loss_D: -0.021520 Loss_G: 0.011353 Loss_D_real: -0.019367 Loss_D_fake 0.002153
[1482/5000][145/535][152931] Loss_D: -0.020827 Loss_G: 0.008858 Loss_D_real: -0.015496 Loss_D_fake 0.005331
[1482/5000][150/535][152932] Loss_D: -0.020792 Loss_G: 0.002454 Loss_D_real: -0.025867 Loss_D_fake -0.005075
[1482/5000][155/535][152933] Loss_D: -0.021089 Loss_G: 0.005411 Loss_D_real: -0.017622 Loss_D_fake 0.003467
[1482/5000][160/535][152934] Loss_D: -0.022061 Loss_G: 0.001407 Loss_D_real: -0.002183 Loss_D_fake 0.019878
[1482/5000][165/535][152935] Loss_D: -0.020947 Loss_G: 0.013356 Loss_D_real: -0.009876 Loss_D_fake 0.011071
[1482/5000][170/535][152936] Loss_D: -0.021052 Loss_G: 0.014678 Loss_D_real: -0.017610 Loss_D_fake 0.003443
[1482/5000][175/535][152937] Loss_D: -0.019965 Loss_G: 0.029186 Loss_D_real: -0.016983 Loss_D_fake 0.002982
[1482/5000][180/535][152938] Loss_D: -0.020067 Loss_G: -0.013969 Loss_D_real: -0.004418 Loss_D_fake 0.015650
[1482/5000][185/535][152939] Loss_D: -0.019662 Loss_G: 0.003583 Loss_D_real: -0.014186 Loss_D_fake 0.005476
[1482/5000][190/535][152940] Loss_D: -0.019687 Loss_G: 0.013606 Loss_D_real: -0.022901 Loss_D_fake -0.003214
[1482/5000][195/535][152941] Loss_D: -0.020988 Loss_G: 0.018007 Loss_D_real: -0.010444 Loss_D_fake 0.010544
[1482/5000][200/535][152942] Loss_D: -0.020559 Loss_G: 0.015957 Loss_D_real: -0.011532 Loss_D_fake 0.009027
[1482/5000][205/535][152943] Loss_D: -0.020126 Loss_G: -0.010394 Loss_D_real: -0.017402 Loss_D_fake 0.002725
[1482/5000][210/535][152944] Loss_D: -0.020858 Loss_G: 0.012392 Loss_D_real: -0.013732 Loss_D_fake 0.007126
[1482/5000][215/535][152945] Loss_D: -0.019788 Loss_G: -0.002110 Loss_D_real: -0.009384 Loss_D_fake 0.010403
[1482/5000][220/535][152946] Loss_D: -0.019233 Loss_G: 0.007335 Loss_D_real: -0.020968 Loss_D_fake -0.001735
[1482/5000][225/535][152947] Loss_D: -0.021264 Loss_G: 0.007703 Loss_D_real: -0.018381 Loss_D_fake 0.002883
[1482/5000][230/535][152948] Loss_D: -0.020574 Loss_G: 0.008078 Loss_D_real: -0.016721 Loss_D_fake 0.003853
[1482/5000][235/535][152949] Loss_D: -0.019674 Loss_G: 0.022310 Loss_D_real: -0.035456 Loss_D_fake -0.015781
[1482/5000][240/535][152950] Loss_D: -0.018530 Loss_G: 0.021610 Loss_D_real: -0.038004 Loss_D_fake -0.019474
[1482/5000][245/535][152951] Loss_D: -0.019933 Loss_G: -0.015784 Loss_D_real: -0.003632 Loss_D_fake 0.016300
[1482/5000][250/535][152952] Loss_D: -0.019276 Loss_G: 0.000740 Loss_D_real: -0.009502 Loss_D_fake 0.009774
[1482/5000][255/535][152953] Loss_D: -0.019758 Loss_G: 0.006871 Loss_D_real: -0.007590 Loss_D_fake 0.012168
[1482/5000][260/535][152954] Loss_D: -0.020892 Loss_G: 0.014853 Loss_D_real: -0.022249 Loss_D_fake -0.001357
[1482/5000][265/535][152955] Loss_D: -0.019877 Loss_G: 0.008456 Loss_D_real: -0.027422 Loss_D_fake -0.007545
[1482/5000][270/535][152956] Loss_D: -0.019447 Loss_G: 0.005741 Loss_D_real: -0.025044 Loss_D_fake -0.005597
[1482/5000][275/535][152957] Loss_D: -0.019540 Loss_G: -0.005779 Loss_D_real: -0.009160 Loss_D_fake 0.010380
[1482/5000][280/535][152958] Loss_D: -0.018809 Loss_G: 0.006121 Loss_D_real: -0.026078 Loss_D_fake -0.007269
[1482/5000][285/535][152959] Loss_D: -0.019592 Loss_G: 0.011190 Loss_D_real: -0.019597 Loss_D_fake -0.000005
[1482/5000][290/535][152960] Loss_D: -0.019836 Loss_G: 0.004466 Loss_D_real: -0.009402 Loss_D_fake 0.010435
[1482/5000][295/535][152961] Loss_D: -0.020476 Loss_G: 0.016567 Loss_D_real: -0.017164 Loss_D_fake 0.003312
[1482/5000][300/535][152962] Loss_D: -0.019303 Loss_G: 0.002507 Loss_D_real: -0.019476 Loss_D_fake -0.000173
[1482/5000][305/535][152963] Loss_D: -0.018561 Loss_G: 0.012505 Loss_D_real: -0.013657 Loss_D_fake 0.004904
[1482/5000][310/535][152964] Loss_D: -0.018185 Loss_G: 0.014219 Loss_D_real: -0.021498 Loss_D_fake -0.003314
[1482/5000][315/535][152965] Loss_D: -0.018184 Loss_G: 0.014311 Loss_D_real: -0.022979 Loss_D_fake -0.004795
[1482/5000][320/535][152966] Loss_D: -0.019609 Loss_G: 0.017948 Loss_D_real: -0.026746 Loss_D_fake -0.007137
[1482/5000][325/535][152967] Loss_D: -0.020902 Loss_G: 0.013902 Loss_D_real: -0.004054 Loss_D_fake 0.016848
[1482/5000][330/535][152968] Loss_D: -0.019348 Loss_G: 0.009242 Loss_D_real: -0.023007 Loss_D_fake -0.003659
[1482/5000][335/535][152969] Loss_D: -0.019929 Loss_G: -0.000747 Loss_D_real: 0.007331 Loss_D_fake 0.027259
[1482/5000][340/535][152970] Loss_D: -0.020390 Loss_G: 0.002688 Loss_D_real: -0.017640 Loss_D_fake 0.002750
[1482/5000][345/535][152971] Loss_D: -0.019169 Loss_G: 0.004510 Loss_D_real: -0.014814 Loss_D_fake 0.004355
[1482/5000][350/535][152972] Loss_D: -0.020262 Loss_G: -0.022947 Loss_D_real: -0.002320 Loss_D_fake 0.017942
[1482/5000][355/535][152973] Loss_D: -0.021111 Loss_G: 0.022876 Loss_D_real: -0.013495 Loss_D_fake 0.007616
[1482/5000][360/535][152974] Loss_D: -0.021349 Loss_G: -0.005774 Loss_D_real: -0.007400 Loss_D_fake 0.013948
[1482/5000][365/535][152975] Loss_D: -0.020024 Loss_G: 0.010063 Loss_D_real: -0.021375 Loss_D_fake -0.001351
[1482/5000][370/535][152976] Loss_D: -0.021657 Loss_G: 0.013353 Loss_D_real: -0.024602 Loss_D_fake -0.002945
[1482/5000][375/535][152977] Loss_D: -0.019611 Loss_G: 0.007906 Loss_D_real: -0.018222 Loss_D_fake 0.001389
[1482/5000][380/535][152978] Loss_D: -0.019414 Loss_G: 0.011406 Loss_D_real: -0.013805 Loss_D_fake 0.005609
[1482/5000][385/535][152979] Loss_D: -0.018794 Loss_G: 0.020171 Loss_D_real: -0.030047 Loss_D_fake -0.011253
[1482/5000][390/535][152980] Loss_D: -0.017958 Loss_G: 0.022351 Loss_D_real: -0.030914 Loss_D_fake -0.012955
[1482/5000][395/535][152981] Loss_D: -0.018058 Loss_G: -0.007979 Loss_D_real: -0.015919 Loss_D_fake 0.002139
[1482/5000][400/535][152982] Loss_D: -0.018638 Loss_G: 0.029692 Loss_D_real: -0.033756 Loss_D_fake -0.015118
[1482/5000][405/535][152983] Loss_D: -0.019186 Loss_G: 0.018957 Loss_D_real: -0.026834 Loss_D_fake -0.007648
[1482/5000][410/535][152984] Loss_D: -0.020368 Loss_G: -0.009376 Loss_D_real: -0.010956 Loss_D_fake 0.009412
[1482/5000][415/535][152985] Loss_D: -0.019752 Loss_G: 0.015391 Loss_D_real: -0.013555 Loss_D_fake 0.006198
[1482/5000][420/535][152986] Loss_D: -0.018387 Loss_G: 0.015010 Loss_D_real: -0.027311 Loss_D_fake -0.008925
[1482/5000][425/535][152987] Loss_D: -0.019528 Loss_G: 0.010088 Loss_D_real: -0.005081 Loss_D_fake 0.014447
[1482/5000][430/535][152988] Loss_D: -0.020010 Loss_G: 0.019247 Loss_D_real: -0.040402 Loss_D_fake -0.020391
[1482/5000][435/535][152989] Loss_D: -0.019708 Loss_G: -0.017782 Loss_D_real: -0.006587 Loss_D_fake 0.013121
[1482/5000][440/535][152990] Loss_D: -0.019813 Loss_G: -0.008530 Loss_D_real: -0.010166 Loss_D_fake 0.009647
[1482/5000][445/535][152991] Loss_D: -0.020691 Loss_G: 0.009731 Loss_D_real: -0.005147 Loss_D_fake 0.015544
[1482/5000][450/535][152992] Loss_D: -0.020481 Loss_G: 0.005344 Loss_D_real: -0.010455 Loss_D_fake 0.010026
[1482/5000][455/535][152993] Loss_D: -0.018392 Loss_G: 0.017754 Loss_D_real: -0.020929 Loss_D_fake -0.002537
[1482/5000][460/535][152994] Loss_D: -0.019792 Loss_G: -0.002117 Loss_D_real: -0.010140 Loss_D_fake 0.009652
[1482/5000][465/535][152995] Loss_D: -0.018802 Loss_G: 0.001420 Loss_D_real: -0.003398 Loss_D_fake 0.015404
[1482/5000][470/535][152996] Loss_D: -0.018850 Loss_G: 0.013457 Loss_D_real: -0.012203 Loss_D_fake 0.006647
[1482/5000][475/535][152997] Loss_D: -0.018342 Loss_G: 0.025227 Loss_D_real: -0.025204 Loss_D_fake -0.006862
[1482/5000][480/535][152998] Loss_D: -0.020632 Loss_G: -0.008288 Loss_D_real: -0.009711 Loss_D_fake 0.010920
[1482/5000][485/535][152999] Loss_D: -0.020335 Loss_G: 0.011782 Loss_D_real: -0.018000 Loss_D_fake 0.002335
[1482/5000][490/535][153000] Loss_D: -0.019125 Loss_G: 0.007647 Loss_D_real: -0.025647 Loss_D_fake -0.006522
[1482/5000][535/535][153001] Loss_D: -0.019521 Loss_G: 0.053876 Loss_D_real: -0.024065 Loss_D_fake -0.004544
[1483/5000][5/535][153002] Loss_D: -0.019512 Loss_G: -0.002439 Loss_D_real: -0.013797 Loss_D_fake 0.005716
[1483/5000][10/535][153003] Loss_D: -0.019227 Loss_G: 0.003836 Loss_D_real: -0.001285 Loss_D_fake 0.017942
[1483/5000][15/535][153004] Loss_D: -0.020309 Loss_G: 0.009530 Loss_D_real: -0.034501 Loss_D_fake -0.014192
[1483/5000][20/535][153005] Loss_D: -0.018398 Loss_G: 0.004516 Loss_D_real: -0.025773 Loss_D_fake -0.007375
[1483/5000][25/535][153006] Loss_D: -0.019713 Loss_G: -0.004802 Loss_D_real: -0.007435 Loss_D_fake 0.012278
[1483/5000][30/535][153007] Loss_D: -0.020491 Loss_G: 0.006578 Loss_D_real: -0.014964 Loss_D_fake 0.005527
[1483/5000][35/535][153008] Loss_D: -0.019739 Loss_G: 0.017257 Loss_D_real: -0.024803 Loss_D_fake -0.005063
[1483/5000][40/535][153009] Loss_D: -0.020486 Loss_G: -0.008795 Loss_D_real: 0.000486 Loss_D_fake 0.020972
[1483/5000][45/535][153010] Loss_D: -0.019126 Loss_G: 0.024965 Loss_D_real: -0.017693 Loss_D_fake 0.001433
[1483/5000][50/535][153011] Loss_D: -0.018878 Loss_G: 0.008663 Loss_D_real: -0.025711 Loss_D_fake -0.006834
[1483/5000][55/535][153012] Loss_D: -0.018879 Loss_G: 0.009358 Loss_D_real: -0.016102 Loss_D_fake 0.002777
[1483/5000][60/535][153013] Loss_D: -0.019009 Loss_G: 0.004513 Loss_D_real: -0.010197 Loss_D_fake 0.008811
[1483/5000][65/535][153014] Loss_D: -0.018735 Loss_G: 0.009989 Loss_D_real: -0.022965 Loss_D_fake -0.004230
[1483/5000][70/535][153015] Loss_D: -0.020411 Loss_G: 0.006314 Loss_D_real: -0.018972 Loss_D_fake 0.001439
[1483/5000][75/535][153016] Loss_D: -0.018880 Loss_G: 0.016511 Loss_D_real: -0.025398 Loss_D_fake -0.006518
[1483/5000][80/535][153017] Loss_D: -0.019599 Loss_G: 0.011259 Loss_D_real: -0.024026 Loss_D_fake -0.004427
[1483/5000][85/535][153018] Loss_D: -0.020830 Loss_G: 0.004368 Loss_D_real: -0.009003 Loss_D_fake 0.011827
[1483/5000][90/535][153019] Loss_D: -0.020848 Loss_G: 0.014851 Loss_D_real: -0.028507 Loss_D_fake -0.007659
[1483/5000][95/535][153020] Loss_D: -0.019941 Loss_G: -0.001078 Loss_D_real: -0.009955 Loss_D_fake 0.009986
[1483/5000][100/535][153021] Loss_D: -0.020666 Loss_G: -0.001576 Loss_D_real: -0.010400 Loss_D_fake 0.010266
[1483/5000][105/535][153022] Loss_D: -0.019641 Loss_G: 0.008694 Loss_D_real: -0.034334 Loss_D_fake -0.014694
[1483/5000][110/535][153023] Loss_D: -0.020503 Loss_G: 0.023384 Loss_D_real: -0.017495 Loss_D_fake 0.003008
[1483/5000][115/535][153024] Loss_D: -0.020869 Loss_G: 0.007092 Loss_D_real: -0.021946 Loss_D_fake -0.001077
[1483/5000][120/535][153025] Loss_D: -0.022167 Loss_G: 0.006428 Loss_D_real: -0.021830 Loss_D_fake 0.000336
[1483/5000][125/535][153026] Loss_D: -0.019579 Loss_G: 0.012887 Loss_D_real: 0.000368 Loss_D_fake 0.019947
[1483/5000][130/535][153027] Loss_D: -0.019095 Loss_G: 0.003758 Loss_D_real: -0.016331 Loss_D_fake 0.002764
[1483/5000][135/535][153028] Loss_D: -0.021203 Loss_G: 0.008249 Loss_D_real: -0.018926 Loss_D_fake 0.002277
[1483/5000][140/535][153029] Loss_D: -0.018187 Loss_G: 0.008002 Loss_D_real: -0.023969 Loss_D_fake -0.005783
[1483/5000][145/535][153030] Loss_D: -0.020738 Loss_G: 0.009827 Loss_D_real: -0.026658 Loss_D_fake -0.005920
[1483/5000][150/535][153031] Loss_D: -0.019790 Loss_G: -0.015315 Loss_D_real: -0.005968 Loss_D_fake 0.013821
[1483/5000][155/535][153032] Loss_D: -0.017584 Loss_G: 0.009542 Loss_D_real: -0.010522 Loss_D_fake 0.007062
[1483/5000][160/535][153033] Loss_D: -0.019917 Loss_G: 0.016139 Loss_D_real: -0.016002 Loss_D_fake 0.003915
[1483/5000][165/535][153034] Loss_D: -0.021115 Loss_G: 0.000378 Loss_D_real: -0.015921 Loss_D_fake 0.005194
[1483/5000][170/535][153035] Loss_D: -0.019656 Loss_G: 0.005506 Loss_D_real: -0.019625 Loss_D_fake 0.000030
[1483/5000][175/535][153036] Loss_D: -0.018750 Loss_G: 0.009466 Loss_D_real: -0.022336 Loss_D_fake -0.003586
[1483/5000][180/535][153037] Loss_D: -0.020711 Loss_G: 0.023733 Loss_D_real: -0.021424 Loss_D_fake -0.000714
[1483/5000][185/535][153038] Loss_D: -0.019917 Loss_G: 0.015364 Loss_D_real: -0.032810 Loss_D_fake -0.012893
[1483/5000][190/535][153039] Loss_D: -0.020543 Loss_G: -0.009954 Loss_D_real: -0.011182 Loss_D_fake 0.009361
[1483/5000][195/535][153040] Loss_D: -0.019630 Loss_G: 0.018293 Loss_D_real: -0.024800 Loss_D_fake -0.005170
[1483/5000][200/535][153041] Loss_D: -0.019825 Loss_G: 0.003593 Loss_D_real: -0.017442 Loss_D_fake 0.002383
[1483/5000][205/535][153042] Loss_D: -0.021671 Loss_G: 0.021108 Loss_D_real: -0.015386 Loss_D_fake 0.006285
[1483/5000][210/535][153043] Loss_D: -0.020599 Loss_G: 0.007912 Loss_D_real: -0.012204 Loss_D_fake 0.008395
[1483/5000][215/535][153044] Loss_D: -0.019667 Loss_G: 0.007437 Loss_D_real: -0.012318 Loss_D_fake 0.007349
[1483/5000][220/535][153045] Loss_D: -0.019447 Loss_G: 0.030842 Loss_D_real: -0.023890 Loss_D_fake -0.004444
[1483/5000][225/535][153046] Loss_D: -0.019910 Loss_G: 0.017832 Loss_D_real: -0.004803 Loss_D_fake 0.015106
[1483/5000][230/535][153047] Loss_D: -0.020171 Loss_G: 0.009032 Loss_D_real: -0.012816 Loss_D_fake 0.007355
[1483/5000][235/535][153048] Loss_D: -0.019024 Loss_G: 0.006993 Loss_D_real: -0.016967 Loss_D_fake 0.002056
[1483/5000][240/535][153049] Loss_D: -0.019128 Loss_G: -0.013633 Loss_D_real: -0.012322 Loss_D_fake 0.006806
[1483/5000][245/535][153050] Loss_D: -0.019042 Loss_G: 0.015371 Loss_D_real: -0.032760 Loss_D_fake -0.013719
[1483/5000][250/535][153051] Loss_D: -0.020080 Loss_G: 0.007786 Loss_D_real: -0.022583 Loss_D_fake -0.002503
[1483/5000][255/535][153052] Loss_D: -0.019832 Loss_G: -0.006047 Loss_D_real: -0.006936 Loss_D_fake 0.012897
[1483/5000][260/535][153053] Loss_D: -0.020333 Loss_G: 0.020433 Loss_D_real: -0.025525 Loss_D_fake -0.005192
[1483/5000][265/535][153054] Loss_D: -0.018451 Loss_G: 0.011785 Loss_D_real: -0.028145 Loss_D_fake -0.009694
[1483/5000][270/535][153055] Loss_D: -0.019774 Loss_G: 0.012732 Loss_D_real: -0.020646 Loss_D_fake -0.000872
[1483/5000][275/535][153056] Loss_D: -0.020665 Loss_G: 0.022186 Loss_D_real: -0.021090 Loss_D_fake -0.000425
[1483/5000][280/535][153057] Loss_D: -0.020758 Loss_G: 0.003399 Loss_D_real: 0.000418 Loss_D_fake 0.021177
[1483/5000][285/535][153058] Loss_D: -0.020397 Loss_G: 0.001557 Loss_D_real: -0.011254 Loss_D_fake 0.009143
[1483/5000][290/535][153059] Loss_D: -0.019614 Loss_G: 0.021973 Loss_D_real: -0.024117 Loss_D_fake -0.004503
[1483/5000][295/535][153060] Loss_D: -0.021053 Loss_G: -0.000700 Loss_D_real: -0.016871 Loss_D_fake 0.004182
[1483/5000][300/535][153061] Loss_D: -0.020332 Loss_G: 0.007082 Loss_D_real: -0.002160 Loss_D_fake 0.018172
[1483/5000][305/535][153062] Loss_D: -0.020324 Loss_G: 0.013482 Loss_D_real: -0.011740 Loss_D_fake 0.008585
[1483/5000][310/535][153063] Loss_D: -0.021224 Loss_G: 0.003793 Loss_D_real: -0.014912 Loss_D_fake 0.006312
[1483/5000][315/535][153064] Loss_D: -0.019479 Loss_G: 0.009963 Loss_D_real: -0.028783 Loss_D_fake -0.009304
[1483/5000][320/535][153065] Loss_D: -0.020569 Loss_G: 0.008763 Loss_D_real: -0.005490 Loss_D_fake 0.015079
[1483/5000][325/535][153066] Loss_D: -0.020749 Loss_G: 0.007615 Loss_D_real: -0.018571 Loss_D_fake 0.002178
[1483/5000][330/535][153067] Loss_D: -0.019917 Loss_G: 0.004841 Loss_D_real: -0.013214 Loss_D_fake 0.006703
[1483/5000][335/535][153068] Loss_D: -0.020503 Loss_G: -0.005306 Loss_D_real: -0.017491 Loss_D_fake 0.003011
[1483/5000][340/535][153069] Loss_D: -0.020087 Loss_G: 0.024389 Loss_D_real: -0.031267 Loss_D_fake -0.011179
[1483/5000][345/535][153070] Loss_D: -0.020871 Loss_G: 0.025139 Loss_D_real: -0.020844 Loss_D_fake 0.000027
[1483/5000][350/535][153071] Loss_D: -0.020253 Loss_G: 0.005102 Loss_D_real: -0.023063 Loss_D_fake -0.002810
[1483/5000][355/535][153072] Loss_D: -0.021748 Loss_G: -0.003493 Loss_D_real: -0.008603 Loss_D_fake 0.013145
[1483/5000][360/535][153073] Loss_D: -0.018928 Loss_G: 0.023511 Loss_D_real: -0.023039 Loss_D_fake -0.004111
[1483/5000][365/535][153074] Loss_D: -0.020791 Loss_G: -0.022421 Loss_D_real: -0.005456 Loss_D_fake 0.015335
[1483/5000][370/535][153075] Loss_D: -0.019129 Loss_G: 0.004355 Loss_D_real: -0.011296 Loss_D_fake 0.007833
[1483/5000][375/535][153076] Loss_D: -0.020081 Loss_G: -0.003838 Loss_D_real: -0.011891 Loss_D_fake 0.008190
[1483/5000][380/535][153077] Loss_D: -0.018546 Loss_G: -0.011680 Loss_D_real: -0.004691 Loss_D_fake 0.013855
[1483/5000][385/535][153078] Loss_D: -0.020117 Loss_G: -0.000451 Loss_D_real: -0.007641 Loss_D_fake 0.012476
[1483/5000][390/535][153079] Loss_D: -0.020162 Loss_G: 0.021028 Loss_D_real: -0.021851 Loss_D_fake -0.001689
[1483/5000][395/535][153080] Loss_D: -0.019590 Loss_G: -0.002137 Loss_D_real: -0.010595 Loss_D_fake 0.008995
[1483/5000][400/535][153081] Loss_D: -0.017070 Loss_G: 0.003461 Loss_D_real: -0.007274 Loss_D_fake 0.009796
[1483/5000][405/535][153082] Loss_D: -0.017529 Loss_G: 0.016112 Loss_D_real: -0.025911 Loss_D_fake -0.008381
[1483/5000][410/535][153083] Loss_D: -0.020801 Loss_G: -0.006044 Loss_D_real: -0.011238 Loss_D_fake 0.009563
[1483/5000][415/535][153084] Loss_D: -0.018635 Loss_G: 0.009985 Loss_D_real: -0.010612 Loss_D_fake 0.008023
[1483/5000][420/535][153085] Loss_D: -0.019859 Loss_G: 0.024507 Loss_D_real: -0.020971 Loss_D_fake -0.001112
[1483/5000][425/535][153086] Loss_D: -0.020157 Loss_G: 0.002477 Loss_D_real: -0.012750 Loss_D_fake 0.007407
[1483/5000][430/535][153087] Loss_D: -0.020573 Loss_G: 0.020209 Loss_D_real: -0.025003 Loss_D_fake -0.004429
[1483/5000][435/535][153088] Loss_D: -0.019540 Loss_G: 0.022760 Loss_D_real: -0.025768 Loss_D_fake -0.006228
[1483/5000][440/535][153089] Loss_D: -0.019698 Loss_G: 0.007166 Loss_D_real: -0.032547 Loss_D_fake -0.012850
[1483/5000][445/535][153090] Loss_D: -0.020096 Loss_G: -0.021505 Loss_D_real: 0.000384 Loss_D_fake 0.020481
[1483/5000][450/535][153091] Loss_D: -0.020029 Loss_G: -0.001302 Loss_D_real: -0.000494 Loss_D_fake 0.019535
[1483/5000][455/535][153092] Loss_D: -0.019968 Loss_G: -0.009005 Loss_D_real: -0.015276 Loss_D_fake 0.004692
[1483/5000][460/535][153093] Loss_D: -0.020051 Loss_G: 0.007268 Loss_D_real: -0.016444 Loss_D_fake 0.003607
[1483/5000][465/535][153094] Loss_D: -0.020747 Loss_G: 0.013978 Loss_D_real: -0.001637 Loss_D_fake 0.019110
[1483/5000][470/535][153095] Loss_D: -0.019202 Loss_G: 0.001597 Loss_D_real: -0.011817 Loss_D_fake 0.007385
[1483/5000][475/535][153096] Loss_D: -0.020042 Loss_G: 0.008499 Loss_D_real: -0.011461 Loss_D_fake 0.008581
[1483/5000][480/535][153097] Loss_D: -0.019595 Loss_G: 0.000565 Loss_D_real: -0.022297 Loss_D_fake -0.002703
[1483/5000][485/535][153098] Loss_D: -0.020665 Loss_G: 0.001728 Loss_D_real: -0.015488 Loss_D_fake 0.005177
[1483/5000][490/535][153099] Loss_D: -0.019660 Loss_G: 0.014603 Loss_D_real: -0.011518 Loss_D_fake 0.008142
[1483/5000][495/535][153100] Loss_D: -0.021286 Loss_G: 0.008795 Loss_D_real: -0.024988 Loss_D_fake -0.003703
[1483/5000][500/535][153101] Loss_D: -0.019847 Loss_G: 0.011424 Loss_D_real: -0.029470 Loss_D_fake -0.009623
[1483/5000][505/535][153102] Loss_D: -0.020117 Loss_G: 0.012561 Loss_D_real: -0.016655 Loss_D_fake 0.003462
[1483/5000][510/535][153103] Loss_D: -0.019868 Loss_G: -0.003679 Loss_D_real: -0.009374 Loss_D_fake 0.010494
[1483/5000][515/535][153104] Loss_D: -0.019378 Loss_G: 0.021248 Loss_D_real: -0.019022 Loss_D_fake 0.000356
[1483/5000][520/535][153105] Loss_D: -0.020847 Loss_G: 0.006916 Loss_D_real: -0.000071 Loss_D_fake 0.020776
[1483/5000][525/535][153106] Loss_D: -0.020008 Loss_G: 0.025966 Loss_D_real: -0.025984 Loss_D_fake -0.005976
[1483/5000][530/535][153107] Loss_D: -0.020898 Loss_G: -0.009158 Loss_D_real: -0.001317 Loss_D_fake 0.019580
[1483/5000][535/535][153108] Loss_D: -0.024887 Loss_G: -0.004984 Loss_D_real: -0.016548 Loss_D_fake 0.008339
[1484/5000][5/535][153109] Loss_D: -0.020661 Loss_G: -0.011199 Loss_D_real: -0.004989 Loss_D_fake 0.015672
[1484/5000][10/535][153110] Loss_D: -0.018190 Loss_G: 0.011463 Loss_D_real: -0.032194 Loss_D_fake -0.014004
[1484/5000][15/535][153111] Loss_D: -0.019363 Loss_G: 0.002620 Loss_D_real: -0.004166 Loss_D_fake 0.015197
[1484/5000][20/535][153112] Loss_D: -0.021384 Loss_G: 0.017922 Loss_D_real: -0.019062 Loss_D_fake 0.002321
[1484/5000][25/535][153113] Loss_D: -0.017839 Loss_G: 0.011565 Loss_D_real: -0.025547 Loss_D_fake -0.007708
[1484/5000][30/535][153114] Loss_D: -0.020245 Loss_G: 0.008861 Loss_D_real: -0.010512 Loss_D_fake 0.009733
[1484/5000][35/535][153115] Loss_D: -0.019932 Loss_G: 0.020896 Loss_D_real: -0.035006 Loss_D_fake -0.015073
[1484/5000][40/535][153116] Loss_D: -0.022070 Loss_G: 0.005987 Loss_D_real: -0.017836 Loss_D_fake 0.004234
[1484/5000][45/535][153117] Loss_D: -0.019012 Loss_G: 0.003478 Loss_D_real: -0.005760 Loss_D_fake 0.013252
[1484/5000][50/535][153118] Loss_D: -0.019132 Loss_G: 0.008030 Loss_D_real: -0.018916 Loss_D_fake 0.000215
[1484/5000][55/535][153119] Loss_D: -0.021789 Loss_G: 0.012121 Loss_D_real: -0.016089 Loss_D_fake 0.005699
[1484/5000][60/535][153120] Loss_D: -0.019977 Loss_G: -0.002586 Loss_D_real: -0.011865 Loss_D_fake 0.008112
[1484/5000][65/535][153121] Loss_D: -0.018931 Loss_G: 0.024043 Loss_D_real: -0.028591 Loss_D_fake -0.009660
[1484/5000][70/535][153122] Loss_D: -0.020281 Loss_G: -0.012225 Loss_D_real: -0.016029 Loss_D_fake 0.004251
[1484/5000][75/535][153123] Loss_D: -0.020021 Loss_G: 0.021983 Loss_D_real: -0.021165 Loss_D_fake -0.001144
[1484/5000][80/535][153124] Loss_D: -0.020718 Loss_G: -0.003179 Loss_D_real: -0.017890 Loss_D_fake 0.002828
[1484/5000][85/535][153125] Loss_D: -0.020029 Loss_G: 0.013111 Loss_D_real: -0.018033 Loss_D_fake 0.001996
[1484/5000][90/535][153126] Loss_D: -0.019731 Loss_G: -0.003424 Loss_D_real: -0.017497 Loss_D_fake 0.002234
[1484/5000][95/535][153127] Loss_D: -0.020059 Loss_G: 0.004610 Loss_D_real: -0.022970 Loss_D_fake -0.002911
[1484/5000][100/535][153128] Loss_D: -0.019661 Loss_G: -0.001377 Loss_D_real: -0.011692 Loss_D_fake 0.007969
[1484/5000][105/535][153129] Loss_D: -0.020294 Loss_G: 0.012465 Loss_D_real: -0.014579 Loss_D_fake 0.005714
[1484/5000][110/535][153130] Loss_D: -0.019897 Loss_G: 0.006666 Loss_D_real: -0.013037 Loss_D_fake 0.006861
[1484/5000][115/535][153131] Loss_D: -0.020798 Loss_G: -0.008943 Loss_D_real: -0.007102 Loss_D_fake 0.013696
[1484/5000][120/535][153132] Loss_D: -0.021208 Loss_G: -0.001384 Loss_D_real: -0.006181 Loss_D_fake 0.015027
[1484/5000][125/535][153133] Loss_D: -0.020078 Loss_G: 0.005890 Loss_D_real: -0.010591 Loss_D_fake 0.009487
[1484/5000][130/535][153134] Loss_D: -0.020508 Loss_G: 0.019175 Loss_D_real: -0.013984 Loss_D_fake 0.006523
[1484/5000][135/535][153135] Loss_D: -0.020318 Loss_G: -0.017441 Loss_D_real: 0.000674 Loss_D_fake 0.020991
[1484/5000][140/535][153136] Loss_D: -0.019618 Loss_G: -0.005950 Loss_D_real: -0.008531 Loss_D_fake 0.011087
[1484/5000][145/535][153137] Loss_D: -0.020910 Loss_G: -0.000944 Loss_D_real: -0.009033 Loss_D_fake 0.011877
[1484/5000][150/535][153138] Loss_D: -0.020048 Loss_G: 0.031314 Loss_D_real: -0.024610 Loss_D_fake -0.004562
[1484/5000][155/535][153139] Loss_D: -0.020120 Loss_G: -0.011624 Loss_D_real: -0.018581 Loss_D_fake 0.001539
[1484/5000][160/535][153140] Loss_D: -0.019029 Loss_G: 0.005273 Loss_D_real: -0.012426 Loss_D_fake 0.006603
[1484/5000][165/535][153141] Loss_D: -0.018035 Loss_G: 0.015180 Loss_D_real: -0.015650 Loss_D_fake 0.002385
[1484/5000][170/535][153142] Loss_D: -0.019339 Loss_G: -0.003576 Loss_D_real: -0.004385 Loss_D_fake 0.014954
[1484/5000][175/535][153143] Loss_D: -0.018960 Loss_G: -0.009866 Loss_D_real: 0.005075 Loss_D_fake 0.024036
[1484/5000][180/535][153144] Loss_D: -0.019578 Loss_G: 0.016831 Loss_D_real: -0.021868 Loss_D_fake -0.002289
[1484/5000][185/535][153145] Loss_D: -0.018226 Loss_G: -0.000743 Loss_D_real: -0.010729 Loss_D_fake 0.007497
[1484/5000][190/535][153146] Loss_D: -0.020764 Loss_G: 0.024454 Loss_D_real: -0.020576 Loss_D_fake 0.000188
[1484/5000][195/535][153147] Loss_D: -0.020421 Loss_G: 0.005283 Loss_D_real: -0.022781 Loss_D_fake -0.002360
[1484/5000][200/535][153148] Loss_D: -0.019430 Loss_G: 0.008030 Loss_D_real: -0.023658 Loss_D_fake -0.004228
[1484/5000][205/535][153149] Loss_D: -0.019339 Loss_G: -0.003633 Loss_D_real: -0.002592 Loss_D_fake 0.016747
[1484/5000][210/535][153150] Loss_D: -0.019903 Loss_G: 0.003157 Loss_D_real: -0.016755 Loss_D_fake 0.003148
[1484/5000][215/535][153151] Loss_D: -0.021318 Loss_G: 0.011776 Loss_D_real: -0.004801 Loss_D_fake 0.016516
[1484/5000][220/535][153152] Loss_D: -0.020514 Loss_G: -0.005481 Loss_D_real: -0.005311 Loss_D_fake 0.015203
[1484/5000][225/535][153153] Loss_D: -0.020361 Loss_G: -0.002442 Loss_D_real: -0.004873 Loss_D_fake 0.015488
[1484/5000][230/535][153154] Loss_D: -0.020386 Loss_G: 0.001413 Loss_D_real: -0.010187 Loss_D_fake 0.010200
[1484/5000][235/535][153155] Loss_D: -0.019783 Loss_G: -0.006914 Loss_D_real: 0.004578 Loss_D_fake 0.024361
[1484/5000][240/535][153156] Loss_D: -0.019937 Loss_G: 0.015678 Loss_D_real: -0.020969 Loss_D_fake -0.001031
[1484/5000][245/535][153157] Loss_D: -0.020075 Loss_G: 0.000687 Loss_D_real: 0.000615 Loss_D_fake 0.020691
[1484/5000][250/535][153158] Loss_D: -0.015844 Loss_G: 0.026968 Loss_D_real: -0.035286 Loss_D_fake -0.019442
[1484/5000][255/535][153159] Loss_D: -0.019437 Loss_G: 0.005170 Loss_D_real: -0.018774 Loss_D_fake 0.000663
[1484/5000][260/535][153160] Loss_D: -0.019085 Loss_G: -0.004210 Loss_D_real: -0.000068 Loss_D_fake 0.019017
[1484/5000][265/535][153161] Loss_D: -0.019012 Loss_G: -0.006023 Loss_D_real: 0.011310 Loss_D_fake 0.030322
[1484/5000][270/535][153162] Loss_D: -0.020510 Loss_G: -0.001927 Loss_D_real: -0.007654 Loss_D_fake 0.012857
[1484/5000][275/535][153163] Loss_D: -0.019197 Loss_G: -0.005514 Loss_D_real: -0.006301 Loss_D_fake 0.012895
[1484/5000][280/535][153164] Loss_D: -0.019124 Loss_G: -0.013279 Loss_D_real: 0.000906 Loss_D_fake 0.020030
[1484/5000][285/535][153165] Loss_D: -0.020270 Loss_G: 0.019604 Loss_D_real: -0.027173 Loss_D_fake -0.006903
[1484/5000][290/535][153166] Loss_D: -0.019900 Loss_G: 0.011325 Loss_D_real: -0.010281 Loss_D_fake 0.009620
[1484/5000][295/535][153167] Loss_D: -0.019466 Loss_G: -0.005052 Loss_D_real: -0.005700 Loss_D_fake 0.013766
[1484/5000][300/535][153168] Loss_D: -0.020255 Loss_G: 0.022487 Loss_D_real: -0.023172 Loss_D_fake -0.002917
[1484/5000][305/535][153169] Loss_D: -0.019087 Loss_G: -0.002743 Loss_D_real: -0.004874 Loss_D_fake 0.014213
[1484/5000][310/535][153170] Loss_D: -0.018790 Loss_G: -0.019991 Loss_D_real: -0.003883 Loss_D_fake 0.014907
[1484/5000][315/535][153171] Loss_D: -0.018967 Loss_G: 0.005660 Loss_D_real: -0.017565 Loss_D_fake 0.001402
[1484/5000][320/535][153172] Loss_D: -0.019400 Loss_G: 0.005611 Loss_D_real: -0.015612 Loss_D_fake 0.003788
[1484/5000][325/535][153173] Loss_D: -0.020577 Loss_G: 0.005636 Loss_D_real: -0.005764 Loss_D_fake 0.014812
[1484/5000][330/535][153174] Loss_D: -0.019250 Loss_G: -0.011352 Loss_D_real: -0.010756 Loss_D_fake 0.008494
[1484/5000][335/535][153175] Loss_D: -0.018897 Loss_G: 0.010942 Loss_D_real: -0.030206 Loss_D_fake -0.011308
[1484/5000][340/535][153176] Loss_D: -0.020155 Loss_G: 0.010087 Loss_D_real: -0.009471 Loss_D_fake 0.010684
[1484/5000][345/535][153177] Loss_D: -0.019083 Loss_G: 0.001545 Loss_D_real: -0.017479 Loss_D_fake 0.001603
[1484/5000][350/535][153178] Loss_D: -0.018753 Loss_G: 0.001807 Loss_D_real: 0.000602 Loss_D_fake 0.019356
[1484/5000][355/535][153179] Loss_D: -0.020462 Loss_G: 0.006027 Loss_D_real: -0.007054 Loss_D_fake 0.013408
[1484/5000][360/535][153180] Loss_D: -0.019755 Loss_G: 0.018295 Loss_D_real: -0.028622 Loss_D_fake -0.008867
[1484/5000][365/535][153181] Loss_D: -0.020614 Loss_G: 0.003411 Loss_D_real: -0.011117 Loss_D_fake 0.009497
[1484/5000][370/535][153182] Loss_D: -0.020650 Loss_G: 0.011174 Loss_D_real: -0.017375 Loss_D_fake 0.003276
[1484/5000][375/535][153183] Loss_D: -0.020028 Loss_G: 0.005301 Loss_D_real: -0.008935 Loss_D_fake 0.011093
[1484/5000][380/535][153184] Loss_D: -0.020956 Loss_G: 0.011594 Loss_D_real: -0.013771 Loss_D_fake 0.007185
[1484/5000][385/535][153185] Loss_D: -0.021084 Loss_G: 0.003427 Loss_D_real: -0.013457 Loss_D_fake 0.007627
[1484/5000][390/535][153186] Loss_D: -0.019650 Loss_G: 0.023186 Loss_D_real: -0.031500 Loss_D_fake -0.011851
[1484/5000][395/535][153187] Loss_D: -0.020573 Loss_G: 0.015500 Loss_D_real: -0.027006 Loss_D_fake -0.006433
[1484/5000][400/535][153188] Loss_D: -0.020300 Loss_G: -0.009392 Loss_D_real: -0.006189 Loss_D_fake 0.014112
[1484/5000][405/535][153189] Loss_D: -0.020854 Loss_G: 0.013672 Loss_D_real: -0.017510 Loss_D_fake 0.003344
[1484/5000][410/535][153190] Loss_D: -0.019587 Loss_G: 0.001494 Loss_D_real: -0.018205 Loss_D_fake 0.001382
[1484/5000][415/535][153191] Loss_D: -0.019873 Loss_G: 0.005657 Loss_D_real: -0.013266 Loss_D_fake 0.006607
[1484/5000][420/535][153192] Loss_D: -0.017997 Loss_G: -0.022656 Loss_D_real: 0.006593 Loss_D_fake 0.024591
[1484/5000][425/535][153193] Loss_D: -0.020328 Loss_G: 0.003026 Loss_D_real: -0.007383 Loss_D_fake 0.012945
[1484/5000][430/535][153194] Loss_D: -0.020015 Loss_G: 0.015303 Loss_D_real: -0.013912 Loss_D_fake 0.006102
[1484/5000][435/535][153195] Loss_D: -0.018891 Loss_G: 0.022491 Loss_D_real: -0.015970 Loss_D_fake 0.002921
[1484/5000][440/535][153196] Loss_D: -0.018987 Loss_G: 0.013426 Loss_D_real: -0.023326 Loss_D_fake -0.004339
[1484/5000][445/535][153197] Loss_D: -0.019680 Loss_G: 0.011112 Loss_D_real: -0.009088 Loss_D_fake 0.010592
[1484/5000][450/535][153198] Loss_D: -0.020169 Loss_G: 0.007355 Loss_D_real: -0.018214 Loss_D_fake 0.001955
[1484/5000][455/535][153199] Loss_D: -0.019459 Loss_G: -0.018859 Loss_D_real: -0.011884 Loss_D_fake 0.007574
[1484/5000][460/535][153200] Loss_D: -0.019918 Loss_G: 0.028181 Loss_D_real: -0.022946 Loss_D_fake -0.003027
[1484/5000][465/535][153201] Loss_D: -0.019208 Loss_G: 0.016345 Loss_D_real: -0.021111 Loss_D_fake -0.001903
[1484/5000][470/535][153202] Loss_D: -0.019899 Loss_G: 0.023349 Loss_D_real: -0.021174 Loss_D_fake -0.001275
[1484/5000][475/535][153203] Loss_D: -0.019678 Loss_G: 0.015959 Loss_D_real: -0.013726 Loss_D_fake 0.005952
[1484/5000][480/535][153204] Loss_D: -0.020546 Loss_G: 0.016212 Loss_D_real: -0.034730 Loss_D_fake -0.014184
[1484/5000][485/535][153205] Loss_D: -0.019361 Loss_G: 0.006161 Loss_D_real: -0.012904 Loss_D_fake 0.006457
[1484/5000][490/535][153206] Loss_D: -0.019455 Loss_G: -0.015714 Loss_D_real: -0.005096 Loss_D_fake 0.014359
[1484/5000][495/535][153207] Loss_D: -0.018509 Loss_G: 0.008991 Loss_D_real: -0.021209 Loss_D_fake -0.002700
[1484/5000][500/535][153208] Loss_D: -0.020373 Loss_G: -0.002143 Loss_D_real: -0.026324 Loss_D_fake -0.005951
[1484/5000][505/535][153209] Loss_D: -0.019618 Loss_G: 0.001299 Loss_D_real: -0.024379 Loss_D_fake -0.004761
[1484/5000][510/535][153210] Loss_D: -0.018861 Loss_G: 0.011596 Loss_D_real: -0.011548 Loss_D_fake 0.007313
[1484/5000][515/535][153211] Loss_D: -0.019552 Loss_G: 0.003188 Loss_D_real: -0.032711 Loss_D_fake -0.013159
[1484/5000][520/535][153212] Loss_D: -0.019138 Loss_G: -0.006451 Loss_D_real: -0.011925 Loss_D_fake 0.007214
[1484/5000][525/535][153213] Loss_D: -0.019611 Loss_G: 0.016550 Loss_D_real: -0.014791 Loss_D_fake 0.004820
[1484/5000][530/535][153214] Loss_D: -0.019962 Loss_G: 0.000219 Loss_D_real: -0.032948 Loss_D_fake -0.012986
[1484/5000][535/535][153215] Loss_D: -0.022835 Loss_G: 0.028923 Loss_D_real: -0.012404 Loss_D_fake 0.010432
[1485/5000][5/535][153216] Loss_D: -0.020212 Loss_G: 0.001760 Loss_D_real: -0.014569 Loss_D_fake 0.005643
[1485/5000][10/535][153217] Loss_D: -0.021241 Loss_G: 0.017374 Loss_D_real: -0.023755 Loss_D_fake -0.002514
[1485/5000][15/535][153218] Loss_D: -0.021829 Loss_G: 0.010535 Loss_D_real: -0.021518 Loss_D_fake 0.000311
[1485/5000][20/535][153219] Loss_D: -0.019368 Loss_G: 0.016922 Loss_D_real: -0.030191 Loss_D_fake -0.010823
[1485/5000][25/535][153220] Loss_D: -0.021857 Loss_G: -0.002766 Loss_D_real: -0.005622 Loss_D_fake 0.016235
[1485/5000][30/535][153221] Loss_D: -0.020505 Loss_G: 0.006502 Loss_D_real: -0.011535 Loss_D_fake 0.008970
[1485/5000][35/535][153222] Loss_D: -0.018664 Loss_G: 0.018414 Loss_D_real: -0.043365 Loss_D_fake -0.024702
[1485/5000][40/535][153223] Loss_D: -0.020722 Loss_G: -0.000610 Loss_D_real: -0.011086 Loss_D_fake 0.009636
[1485/5000][45/535][153224] Loss_D: -0.020563 Loss_G: -0.009418 Loss_D_real: -0.019876 Loss_D_fake 0.000687
[1485/5000][50/535][153225] Loss_D: -0.019801 Loss_G: 0.016007 Loss_D_real: -0.014634 Loss_D_fake 0.005167
[1485/5000][55/535][153226] Loss_D: -0.020863 Loss_G: 0.002808 Loss_D_real: -0.018625 Loss_D_fake 0.002238
[1485/5000][60/535][153227] Loss_D: -0.019718 Loss_G: 0.012550 Loss_D_real: -0.028437 Loss_D_fake -0.008719
[1485/5000][65/535][153228] Loss_D: -0.020548 Loss_G: -0.013250 Loss_D_real: 0.003023 Loss_D_fake 0.023571
[1485/5000][70/535][153229] Loss_D: -0.020444 Loss_G: 0.013005 Loss_D_real: -0.020749 Loss_D_fake -0.000305
[1485/5000][75/535][153230] Loss_D: -0.019691 Loss_G: 0.023246 Loss_D_real: -0.018127 Loss_D_fake 0.001563
[1485/5000][80/535][153231] Loss_D: -0.020167 Loss_G: -0.001874 Loss_D_real: -0.011624 Loss_D_fake 0.008542
[1485/5000][85/535][153232] Loss_D: -0.018647 Loss_G: 0.007722 Loss_D_real: -0.016908 Loss_D_fake 0.001739
[1485/5000][90/535][153233] Loss_D: -0.019376 Loss_G: 0.009780 Loss_D_real: -0.022211 Loss_D_fake -0.002835
[1485/5000][95/535][153234] Loss_D: -0.019937 Loss_G: -0.006469 Loss_D_real: -0.011328 Loss_D_fake 0.008609
[1485/5000][100/535][153235] Loss_D: -0.018818 Loss_G: 0.018588 Loss_D_real: -0.029611 Loss_D_fake -0.010793
[1485/5000][105/535][153236] Loss_D: -0.018806 Loss_G: 0.000701 Loss_D_real: -0.013156 Loss_D_fake 0.005650
[1485/5000][110/535][153237] Loss_D: -0.020857 Loss_G: 0.002294 Loss_D_real: -0.005531 Loss_D_fake 0.015326
[1485/5000][115/535][153238] Loss_D: -0.019648 Loss_G: 0.004986 Loss_D_real: -0.028394 Loss_D_fake -0.008746
[1485/5000][120/535][153239] Loss_D: -0.019551 Loss_G: 0.012898 Loss_D_real: -0.033453 Loss_D_fake -0.013902
[1485/5000][125/535][153240] Loss_D: -0.020316 Loss_G: 0.002361 Loss_D_real: -0.015574 Loss_D_fake 0.004743
[1485/5000][130/535][153241] Loss_D: -0.019920 Loss_G: 0.013469 Loss_D_real: -0.010323 Loss_D_fake 0.009597
[1485/5000][135/535][153242] Loss_D: -0.020889 Loss_G: 0.002262 Loss_D_real: -0.007848 Loss_D_fake 0.013041
[1485/5000][140/535][153243] Loss_D: -0.019869 Loss_G: 0.002993 Loss_D_real: -0.003396 Loss_D_fake 0.016474
[1485/5000][145/535][153244] Loss_D: -0.019164 Loss_G: -0.005967 Loss_D_real: -0.004738 Loss_D_fake 0.014426
[1485/5000][150/535][153245] Loss_D: -0.020142 Loss_G: 0.019745 Loss_D_real: -0.008478 Loss_D_fake 0.011664
[1485/5000][155/535][153246] Loss_D: -0.019336 Loss_G: -0.009122 Loss_D_real: -0.004660 Loss_D_fake 0.014676
[1485/5000][160/535][153247] Loss_D: -0.020480 Loss_G: 0.017531 Loss_D_real: -0.010999 Loss_D_fake 0.009481
[1485/5000][165/535][153248] Loss_D: -0.018700 Loss_G: -0.005832 Loss_D_real: -0.013839 Loss_D_fake 0.004861
[1485/5000][170/535][153249] Loss_D: -0.019082 Loss_G: -0.004586 Loss_D_real: -0.001291 Loss_D_fake 0.017791
[1485/5000][175/535][153250] Loss_D: -0.019810 Loss_G: 0.021043 Loss_D_real: -0.020453 Loss_D_fake -0.000643
[1485/5000][180/535][153251] Loss_D: -0.018578 Loss_G: 0.028440 Loss_D_real: -0.025920 Loss_D_fake -0.007343
[1485/5000][185/535][153252] Loss_D: -0.019873 Loss_G: -0.010659 Loss_D_real: -0.008660 Loss_D_fake 0.011213
[1485/5000][190/535][153253] Loss_D: -0.021130 Loss_G: 0.008910 Loss_D_real: -0.022284 Loss_D_fake -0.001154
[1485/5000][195/535][153254] Loss_D: -0.019500 Loss_G: 0.015815 Loss_D_real: -0.018583 Loss_D_fake 0.000917
[1485/5000][200/535][153255] Loss_D: -0.020574 Loss_G: 0.003154 Loss_D_real: -0.021246 Loss_D_fake -0.000673
[1485/5000][205/535][153256] Loss_D: -0.016206 Loss_G: -0.020629 Loss_D_real: 0.007353 Loss_D_fake 0.023559
[1485/5000][210/535][153257] Loss_D: -0.019200 Loss_G: 0.024396 Loss_D_real: -0.024471 Loss_D_fake -0.005271
[1485/5000][215/535][153258] Loss_D: -0.019560 Loss_G: -0.003070 Loss_D_real: -0.013672 Loss_D_fake 0.005888
[1485/5000][220/535][153259] Loss_D: -0.017735 Loss_G: 0.026581 Loss_D_real: -0.041246 Loss_D_fake -0.023511
[1485/5000][225/535][153260] Loss_D: -0.019095 Loss_G: 0.009097 Loss_D_real: -0.022504 Loss_D_fake -0.003409
[1485/5000][230/535][153261] Loss_D: -0.019102 Loss_G: 0.024610 Loss_D_real: -0.013427 Loss_D_fake 0.005675
[1485/5000][235/535][153262] Loss_D: -0.019928 Loss_G: 0.011461 Loss_D_real: -0.019708 Loss_D_fake 0.000220
[1485/5000][240/535][153263] Loss_D: -0.020945 Loss_G: 0.009857 Loss_D_real: -0.020084 Loss_D_fake 0.000861
[1485/5000][245/535][153264] Loss_D: -0.017325 Loss_G: 0.020021 Loss_D_real: -0.021525 Loss_D_fake -0.004200
[1485/5000][250/535][153265] Loss_D: -0.019338 Loss_G: 0.012443 Loss_D_real: -0.019782 Loss_D_fake -0.000445
[1485/5000][255/535][153266] Loss_D: -0.020696 Loss_G: 0.009490 Loss_D_real: -0.024931 Loss_D_fake -0.004235
[1485/5000][260/535][153267] Loss_D: -0.022486 Loss_G: 0.007102 Loss_D_real: -0.015433 Loss_D_fake 0.007053
[1485/5000][265/535][153268] Loss_D: -0.021806 Loss_G: 0.006324 Loss_D_real: -0.020414 Loss_D_fake 0.001392
[1485/5000][270/535][153269] Loss_D: -0.019603 Loss_G: -0.010321 Loss_D_real: 0.004625 Loss_D_fake 0.024228
[1485/5000][275/535][153270] Loss_D: -0.019534 Loss_G: 0.006833 Loss_D_real: -0.020623 Loss_D_fake -0.001089
[1485/5000][280/535][153271] Loss_D: -0.020318 Loss_G: 0.001716 Loss_D_real: -0.012294 Loss_D_fake 0.008024
[1485/5000][285/535][153272] Loss_D: -0.020159 Loss_G: -0.001170 Loss_D_real: -0.009524 Loss_D_fake 0.010635
[1485/5000][290/535][153273] Loss_D: -0.020601 Loss_G: 0.008277 Loss_D_real: -0.012639 Loss_D_fake 0.007962
[1485/5000][295/535][153274] Loss_D: -0.020838 Loss_G: 0.002944 Loss_D_real: -0.000695 Loss_D_fake 0.020144
[1485/5000][300/535][153275] Loss_D: -0.020079 Loss_G: -0.009060 Loss_D_real: -0.006425 Loss_D_fake 0.013655
[1485/5000][305/535][153276] Loss_D: -0.019200 Loss_G: -0.012792 Loss_D_real: -0.003489 Loss_D_fake 0.015711
[1485/5000][310/535][153277] Loss_D: -0.020182 Loss_G: 0.014620 Loss_D_real: -0.024285 Loss_D_fake -0.004103
[1485/5000][315/535][153278] Loss_D: -0.020344 Loss_G: 0.003875 Loss_D_real: -0.008911 Loss_D_fake 0.011434
[1485/5000][320/535][153279] Loss_D: -0.019631 Loss_G: 0.017326 Loss_D_real: -0.016045 Loss_D_fake 0.003586
[1485/5000][325/535][153280] Loss_D: -0.018513 Loss_G: 0.002655 Loss_D_real: -0.011634 Loss_D_fake 0.006879
[1485/5000][330/535][153281] Loss_D: -0.019666 Loss_G: 0.001507 Loss_D_real: -0.017790 Loss_D_fake 0.001876
[1485/5000][335/535][153282] Loss_D: -0.019939 Loss_G: 0.014369 Loss_D_real: -0.030652 Loss_D_fake -0.010713
[1485/5000][340/535][153283] Loss_D: -0.018836 Loss_G: 0.024310 Loss_D_real: -0.022928 Loss_D_fake -0.004093
[1485/5000][345/535][153284] Loss_D: -0.019076 Loss_G: -0.009629 Loss_D_real: 0.003499 Loss_D_fake 0.022574
[1485/5000][350/535][153285] Loss_D: -0.019948 Loss_G: -0.011992 Loss_D_real: 0.005601 Loss_D_fake 0.025549
[1485/5000][355/535][153286] Loss_D: -0.019310 Loss_G: 0.006765 Loss_D_real: -0.014055 Loss_D_fake 0.005255
[1485/5000][360/535][153287] Loss_D: -0.020512 Loss_G: 0.011544 Loss_D_real: -0.023662 Loss_D_fake -0.003150
[1485/5000][365/535][153288] Loss_D: -0.021236 Loss_G: 0.011820 Loss_D_real: -0.031007 Loss_D_fake -0.009771
[1485/5000][370/535][153289] Loss_D: -0.020049 Loss_G: -0.002604 Loss_D_real: 0.003527 Loss_D_fake 0.023575
[1485/5000][375/535][153290] Loss_D: -0.019585 Loss_G: -0.002122 Loss_D_real: -0.006654 Loss_D_fake 0.012931
[1485/5000][380/535][153291] Loss_D: -0.019881 Loss_G: 0.014851 Loss_D_real: -0.018101 Loss_D_fake 0.001780
[1485/5000][385/535][153292] Loss_D: -0.020771 Loss_G: 0.020063 Loss_D_real: -0.017682 Loss_D_fake 0.003089
[1485/5000][390/535][153293] Loss_D: -0.019805 Loss_G: 0.015070 Loss_D_real: -0.023774 Loss_D_fake -0.003970
[1485/5000][395/535][153294] Loss_D: -0.017902 Loss_G: 0.026274 Loss_D_real: -0.040916 Loss_D_fake -0.023014
[1485/5000][400/535][153295] Loss_D: -0.019096 Loss_G: -0.008378 Loss_D_real: -0.002410 Loss_D_fake 0.016685
[1485/5000][405/535][153296] Loss_D: -0.020452 Loss_G: 0.001474 Loss_D_real: -0.009660 Loss_D_fake 0.010791
[1485/5000][410/535][153297] Loss_D: -0.018719 Loss_G: 0.002781 Loss_D_real: -0.016504 Loss_D_fake 0.002216
[1485/5000][415/535][153298] Loss_D: -0.018801 Loss_G: -0.011966 Loss_D_real: -0.015286 Loss_D_fake 0.003515
[1485/5000][420/535][153299] Loss_D: -0.018547 Loss_G: -0.003729 Loss_D_real: 0.001994 Loss_D_fake 0.020541
[1485/5000][425/535][153300] Loss_D: -0.019475 Loss_G: 0.007989 Loss_D_real: -0.017067 Loss_D_fake 0.002408
[1485/5000][430/535][153301] Loss_D: -0.019171 Loss_G: 0.002104 Loss_D_real: -0.007518 Loss_D_fake 0.011653
[1485/5000][435/535][153302] Loss_D: -0.018627 Loss_G: 0.015967 Loss_D_real: -0.013886 Loss_D_fake 0.004740
[1485/5000][440/535][153303] Loss_D: -0.019426 Loss_G: 0.003548 Loss_D_real: -0.012966 Loss_D_fake 0.006459
[1485/5000][445/535][153304] Loss_D: -0.019047 Loss_G: 0.002467 Loss_D_real: -0.009353 Loss_D_fake 0.009694
[1485/5000][450/535][153305] Loss_D: -0.020211 Loss_G: 0.001895 Loss_D_real: -0.013374 Loss_D_fake 0.006837
[1485/5000][455/535][153306] Loss_D: -0.020145 Loss_G: 0.027648 Loss_D_real: -0.019974 Loss_D_fake 0.000171
[1485/5000][460/535][153307] Loss_D: -0.020481 Loss_G: -0.011871 Loss_D_real: -0.000097 Loss_D_fake 0.020384
[1485/5000][465/535][153308] Loss_D: -0.020790 Loss_G: 0.020051 Loss_D_real: -0.016769 Loss_D_fake 0.004021
[1485/5000][470/535][153309] Loss_D: -0.020275 Loss_G: 0.002353 Loss_D_real: -0.006134 Loss_D_fake 0.014141
[1485/5000][475/535][153310] Loss_D: -0.018999 Loss_G: -0.001240 Loss_D_real: -0.000084 Loss_D_fake 0.018915
[1485/5000][480/535][153311] Loss_D: -0.020376 Loss_G: 0.004851 Loss_D_real: -0.025028 Loss_D_fake -0.004652
[1485/5000][485/535][153312] Loss_D: -0.020070 Loss_G: -0.003392 Loss_D_real: -0.001881 Loss_D_fake 0.018189
[1485/5000][490/535][153313] Loss_D: -0.022066 Loss_G: 0.016465 Loss_D_real: -0.024619 Loss_D_fake -0.002553
[1485/5000][495/535][153314] Loss_D: -0.019790 Loss_G: 0.005764 Loss_D_real: -0.009122 Loss_D_fake 0.010668
[1485/5000][500/535][153315] Loss_D: -0.018800 Loss_G: 0.009771 Loss_D_real: -0.016500 Loss_D_fake 0.002300
[1485/5000][505/535][153316] Loss_D: -0.018234 Loss_G: 0.024205 Loss_D_real: -0.034526 Loss_D_fake -0.016292
[1485/5000][510/535][153317] Loss_D: -0.020007 Loss_G: 0.006599 Loss_D_real: -0.007433 Loss_D_fake 0.012575
[1485/5000][515/535][153318] Loss_D: -0.021335 Loss_G: 0.007389 Loss_D_real: -0.013213 Loss_D_fake 0.008122
[1485/5000][520/535][153319] Loss_D: -0.019342 Loss_G: -0.004983 Loss_D_real: -0.010587 Loss_D_fake 0.008755
[1485/5000][525/535][153320] Loss_D: -0.018955 Loss_G: 0.028885 Loss_D_real: -0.031815 Loss_D_fake -0.012859
[1485/5000][530/535][153321] Loss_D: -0.018860 Loss_G: 0.004046 Loss_D_real: -0.018066 Loss_D_fake 0.000794
[1485/5000][535/535][153322] Loss_D: -0.021042 Loss_G: 0.031828 Loss_D_real: -0.022488 Loss_D_fake -0.001445
[1486/5000][5/535][153323] Loss_D: -0.020147 Loss_G: 0.008874 Loss_D_real: -0.020251 Loss_D_fake -0.000104
[1486/5000][10/535][153324] Loss_D: -0.018292 Loss_G: 0.017933 Loss_D_real: -0.023939 Loss_D_fake -0.005647
[1486/5000][15/535][153325] Loss_D: -0.019416 Loss_G: 0.013685 Loss_D_real: -0.031111 Loss_D_fake -0.011695
[1486/5000][20/535][153326] Loss_D: -0.020712 Loss_G: 0.017443 Loss_D_real: -0.012878 Loss_D_fake 0.007834
[1486/5000][25/535][153327] Loss_D: -0.019912 Loss_G: -0.003890 Loss_D_real: -0.001265 Loss_D_fake 0.018647
[1486/5000][30/535][153328] Loss_D: -0.019171 Loss_G: 0.023210 Loss_D_real: -0.038739 Loss_D_fake -0.019568
[1486/5000][35/535][153329] Loss_D: -0.021101 Loss_G: -0.010038 Loss_D_real: -0.020223 Loss_D_fake 0.000877
[1486/5000][40/535][153330] Loss_D: -0.019597 Loss_G: -0.002083 Loss_D_real: -0.011193 Loss_D_fake 0.008404
[1486/5000][45/535][153331] Loss_D: -0.019664 Loss_G: 0.001753 Loss_D_real: -0.008848 Loss_D_fake 0.010815
[1486/5000][50/535][153332] Loss_D: -0.020421 Loss_G: 0.006201 Loss_D_real: -0.017474 Loss_D_fake 0.002946
[1486/5000][55/535][153333] Loss_D: -0.019411 Loss_G: 0.009587 Loss_D_real: -0.014608 Loss_D_fake 0.004804
[1486/5000][60/535][153334] Loss_D: -0.019090 Loss_G: 0.006500 Loss_D_real: -0.023389 Loss_D_fake -0.004299
[1486/5000][65/535][153335] Loss_D: -0.020037 Loss_G: 0.020192 Loss_D_real: -0.019765 Loss_D_fake 0.000272
[1486/5000][70/535][153336] Loss_D: -0.019392 Loss_G: -0.002278 Loss_D_real: -0.028817 Loss_D_fake -0.009424
[1486/5000][75/535][153337] Loss_D: -0.020380 Loss_G: 0.015806 Loss_D_real: -0.010350 Loss_D_fake 0.010030
[1486/5000][80/535][153338] Loss_D: -0.019931 Loss_G: 0.014951 Loss_D_real: -0.014718 Loss_D_fake 0.005213
[1486/5000][85/535][153339] Loss_D: -0.020272 Loss_G: -0.003685 Loss_D_real: -0.018478 Loss_D_fake 0.001794
[1486/5000][90/535][153340] Loss_D: -0.019924 Loss_G: 0.004673 Loss_D_real: -0.010616 Loss_D_fake 0.009308
[1486/5000][95/535][153341] Loss_D: -0.020091 Loss_G: 0.021515 Loss_D_real: -0.022790 Loss_D_fake -0.002699
[1486/5000][100/535][153342] Loss_D: -0.019530 Loss_G: -0.015311 Loss_D_real: -0.006490 Loss_D_fake 0.013041
[1486/5000][105/535][153343] Loss_D: -0.020158 Loss_G: 0.011321 Loss_D_real: -0.025757 Loss_D_fake -0.005599
[1486/5000][110/535][153344] Loss_D: -0.018877 Loss_G: 0.011357 Loss_D_real: -0.009671 Loss_D_fake 0.009206
[1486/5000][115/535][153345] Loss_D: -0.019630 Loss_G: 0.004099 Loss_D_real: -0.018230 Loss_D_fake 0.001400
[1486/5000][120/535][153346] Loss_D: -0.018954 Loss_G: 0.008534 Loss_D_real: -0.021126 Loss_D_fake -0.002172
[1486/5000][125/535][153347] Loss_D: -0.019292 Loss_G: 0.027197 Loss_D_real: -0.027359 Loss_D_fake -0.008067
[1486/5000][130/535][153348] Loss_D: -0.020360 Loss_G: 0.015571 Loss_D_real: -0.017611 Loss_D_fake 0.002749
[1486/5000][135/535][153349] Loss_D: -0.020307 Loss_G: 0.011681 Loss_D_real: -0.013339 Loss_D_fake 0.006968
[1486/5000][140/535][153350] Loss_D: -0.019512 Loss_G: 0.013095 Loss_D_real: -0.021035 Loss_D_fake -0.001524
[1486/5000][145/535][153351] Loss_D: -0.021027 Loss_G: 0.005064 Loss_D_real: -0.016854 Loss_D_fake 0.004173
[1486/5000][150/535][153352] Loss_D: -0.018991 Loss_G: 0.018050 Loss_D_real: -0.019214 Loss_D_fake -0.000223
[1486/5000][155/535][153353] Loss_D: -0.019836 Loss_G: 0.010234 Loss_D_real: -0.013741 Loss_D_fake 0.006095
[1486/5000][160/535][153354] Loss_D: -0.019292 Loss_G: -0.003765 Loss_D_real: 0.001431 Loss_D_fake 0.020723
[1486/5000][165/535][153355] Loss_D: -0.019194 Loss_G: -0.002099 Loss_D_real: -0.009791 Loss_D_fake 0.009403
[1486/5000][170/535][153356] Loss_D: -0.019196 Loss_G: 0.007507 Loss_D_real: -0.013294 Loss_D_fake 0.005902
[1486/5000][175/535][153357] Loss_D: -0.019399 Loss_G: 0.007353 Loss_D_real: -0.019857 Loss_D_fake -0.000458
[1486/5000][180/535][153358] Loss_D: -0.019048 Loss_G: 0.007466 Loss_D_real: -0.018405 Loss_D_fake 0.000643
[1486/5000][185/535][153359] Loss_D: -0.018270 Loss_G: -0.013130 Loss_D_real: -0.006496 Loss_D_fake 0.011774
[1486/5000][190/535][153360] Loss_D: -0.020780 Loss_G: 0.008445 Loss_D_real: -0.032075 Loss_D_fake -0.011295
[1486/5000][195/535][153361] Loss_D: -0.020809 Loss_G: -0.012691 Loss_D_real: -0.009572 Loss_D_fake 0.011237
[1486/5000][200/535][153362] Loss_D: -0.021660 Loss_G: 0.022118 Loss_D_real: -0.030232 Loss_D_fake -0.008572
[1486/5000][205/535][153363] Loss_D: -0.020213 Loss_G: -0.005416 Loss_D_real: -0.006854 Loss_D_fake 0.013359
[1486/5000][210/535][153364] Loss_D: -0.021803 Loss_G: 0.005839 Loss_D_real: -0.014443 Loss_D_fake 0.007360
[1486/5000][215/535][153365] Loss_D: -0.021588 Loss_G: 0.014751 Loss_D_real: -0.020556 Loss_D_fake 0.001033
[1486/5000][220/535][153366] Loss_D: -0.020341 Loss_G: -0.007957 Loss_D_real: 0.001584 Loss_D_fake 0.021924
[1486/5000][225/535][153367] Loss_D: -0.021024 Loss_G: 0.011816 Loss_D_real: -0.010528 Loss_D_fake 0.010496
[1486/5000][230/535][153368] Loss_D: -0.021563 Loss_G: 0.013462 Loss_D_real: -0.017950 Loss_D_fake 0.003614
[1486/5000][235/535][153369] Loss_D: -0.022201 Loss_G: 0.005060 Loss_D_real: -0.021241 Loss_D_fake 0.000960
[1486/5000][240/535][153370] Loss_D: -0.019424 Loss_G: 0.026657 Loss_D_real: -0.025703 Loss_D_fake -0.006278
[1486/5000][245/535][153371] Loss_D: -0.019801 Loss_G: -0.007756 Loss_D_real: -0.017479 Loss_D_fake 0.002322
[1486/5000][250/535][153372] Loss_D: -0.022463 Loss_G: 0.013467 Loss_D_real: -0.021227 Loss_D_fake 0.001236
[1486/5000][255/535][153373] Loss_D: -0.022556 Loss_G: 0.008236 Loss_D_real: -0.023368 Loss_D_fake -0.000812
[1486/5000][260/535][153374] Loss_D: -0.020098 Loss_G: 0.017471 Loss_D_real: -0.017057 Loss_D_fake 0.003041
[1486/5000][265/535][153375] Loss_D: -0.019531 Loss_G: 0.015636 Loss_D_real: -0.019367 Loss_D_fake 0.000163
[1486/5000][270/535][153376] Loss_D: -0.020182 Loss_G: -0.008005 Loss_D_real: -0.027183 Loss_D_fake -0.007001
[1486/5000][275/535][153377] Loss_D: -0.019565 Loss_G: -0.024518 Loss_D_real: -0.000815 Loss_D_fake 0.018750
[1486/5000][280/535][153378] Loss_D: -0.020976 Loss_G: 0.004958 Loss_D_real: -0.018994 Loss_D_fake 0.001983
[1486/5000][285/535][153379] Loss_D: -0.021237 Loss_G: 0.017294 Loss_D_real: -0.021902 Loss_D_fake -0.000665
[1486/5000][290/535][153380] Loss_D: -0.019783 Loss_G: -0.010678 Loss_D_real: -0.006594 Loss_D_fake 0.013188
[1486/5000][295/535][153381] Loss_D: -0.019520 Loss_G: 0.017407 Loss_D_real: -0.016852 Loss_D_fake 0.002668
[1486/5000][300/535][153382] Loss_D: -0.018694 Loss_G: -0.000986 Loss_D_real: 0.007121 Loss_D_fake 0.025816
[1486/5000][305/535][153383] Loss_D: -0.020171 Loss_G: -0.005075 Loss_D_real: -0.006722 Loss_D_fake 0.013449
[1486/5000][310/535][153384] Loss_D: -0.020409 Loss_G: 0.016890 Loss_D_real: -0.016428 Loss_D_fake 0.003981
[1486/5000][315/535][153385] Loss_D: -0.020791 Loss_G: 0.016987 Loss_D_real: -0.024683 Loss_D_fake -0.003892
[1486/5000][320/535][153386] Loss_D: -0.019306 Loss_G: 0.022431 Loss_D_real: -0.027239 Loss_D_fake -0.007933
[1486/5000][325/535][153387] Loss_D: -0.019603 Loss_G: 0.012142 Loss_D_real: -0.024917 Loss_D_fake -0.005315
[1486/5000][330/535][153388] Loss_D: -0.020182 Loss_G: 0.016405 Loss_D_real: -0.025982 Loss_D_fake -0.005800
[1486/5000][335/535][153389] Loss_D: -0.020507 Loss_G: 0.009683 Loss_D_real: -0.022037 Loss_D_fake -0.001530
[1486/5000][340/535][153390] Loss_D: -0.020840 Loss_G: 0.010901 Loss_D_real: -0.012225 Loss_D_fake 0.008615
[1486/5000][345/535][153391] Loss_D: -0.021075 Loss_G: 0.004251 Loss_D_real: -0.007211 Loss_D_fake 0.013864
[1486/5000][350/535][153392] Loss_D: -0.019643 Loss_G: 0.010616 Loss_D_real: -0.028778 Loss_D_fake -0.009135
[1486/5000][355/535][153393] Loss_D: -0.020198 Loss_G: 0.016717 Loss_D_real: -0.025738 Loss_D_fake -0.005540
[1486/5000][360/535][153394] Loss_D: -0.019806 Loss_G: 0.009399 Loss_D_real: -0.024393 Loss_D_fake -0.004586
[1486/5000][365/535][153395] Loss_D: -0.018662 Loss_G: -0.006375 Loss_D_real: -0.007336 Loss_D_fake 0.011326
[1486/5000][370/535][153396] Loss_D: -0.019886 Loss_G: -0.000978 Loss_D_real: -0.020809 Loss_D_fake -0.000923
[1486/5000][375/535][153397] Loss_D: -0.019181 Loss_G: 0.020846 Loss_D_real: -0.013187 Loss_D_fake 0.005994
[1486/5000][380/535][153398] Loss_D: -0.018958 Loss_G: 0.009605 Loss_D_real: -0.024665 Loss_D_fake -0.005707
[1486/5000][385/535][153399] Loss_D: -0.017174 Loss_G: 0.026194 Loss_D_real: -0.035664 Loss_D_fake -0.018491
[1486/5000][390/535][153400] Loss_D: -0.018282 Loss_G: -0.003137 Loss_D_real: -0.015077 Loss_D_fake 0.003205
[1486/5000][395/535][153401] Loss_D: -0.018644 Loss_G: 0.018915 Loss_D_real: -0.024629 Loss_D_fake -0.005985
[1486/5000][400/535][153402] Loss_D: -0.018919 Loss_G: -0.006839 Loss_D_real: -0.002302 Loss_D_fake 0.016617
[1486/5000][405/535][153403] Loss_D: -0.019996 Loss_G: 0.010127 Loss_D_real: -0.020650 Loss_D_fake -0.000654
[1486/5000][410/535][153404] Loss_D: -0.019576 Loss_G: 0.008452 Loss_D_real: -0.016529 Loss_D_fake 0.003047
[1486/5000][415/535][153405] Loss_D: -0.019582 Loss_G: 0.004981 Loss_D_real: -0.016620 Loss_D_fake 0.002962
[1486/5000][420/535][153406] Loss_D: -0.018843 Loss_G: 0.003839 Loss_D_real: -0.001089 Loss_D_fake 0.017754
[1486/5000][425/535][153407] Loss_D: -0.019732 Loss_G: 0.002685 Loss_D_real: -0.016863 Loss_D_fake 0.002869
[1486/5000][430/535][153408] Loss_D: -0.017964 Loss_G: 0.012121 Loss_D_real: -0.016984 Loss_D_fake 0.000980
[1486/5000][435/535][153409] Loss_D: -0.019825 Loss_G: 0.013339 Loss_D_real: -0.017998 Loss_D_fake 0.001827
[1486/5000][440/535][153410] Loss_D: -0.019757 Loss_G: 0.006924 Loss_D_real: -0.013842 Loss_D_fake 0.005915
[1486/5000][445/535][153411] Loss_D: -0.019084 Loss_G: 0.013544 Loss_D_real: -0.016398 Loss_D_fake 0.002686
[1486/5000][450/535][153412] Loss_D: -0.018633 Loss_G: 0.009386 Loss_D_real: -0.022883 Loss_D_fake -0.004250
[1486/5000][455/535][153413] Loss_D: -0.020332 Loss_G: 0.022094 Loss_D_real: -0.031565 Loss_D_fake -0.011234
[1486/5000][460/535][153414] Loss_D: -0.020878 Loss_G: 0.005763 Loss_D_real: -0.007417 Loss_D_fake 0.013462
[1486/5000][465/535][153415] Loss_D: -0.017607 Loss_G: 0.013680 Loss_D_real: -0.021580 Loss_D_fake -0.003973
[1486/5000][470/535][153416] Loss_D: -0.020813 Loss_G: 0.007950 Loss_D_real: -0.005657 Loss_D_fake 0.015156
[1486/5000][475/535][153417] Loss_D: -0.021407 Loss_G: -0.001489 Loss_D_real: -0.009478 Loss_D_fake 0.011929
[1486/5000][480/535][153418] Loss_D: -0.020504 Loss_G: 0.004621 Loss_D_real: -0.018056 Loss_D_fake 0.002448
[1486/5000][485/535][153419] Loss_D: -0.020719 Loss_G: -0.001528 Loss_D_real: -0.020995 Loss_D_fake -0.000276
[1486/5000][490/535][153420] Loss_D: -0.021209 Loss_G: 0.012416 Loss_D_real: -0.009793 Loss_D_fake 0.011416
[1486/5000][495/535][153421] Loss_D: -0.020692 Loss_G: 0.008127 Loss_D_real: -0.024645 Loss_D_fake -0.003953
[1486/5000][500/535][153422] Loss_D: -0.020239 Loss_G: -0.002142 Loss_D_real: -0.012250 Loss_D_fake 0.007989
[1486/5000][505/535][153423] Loss_D: -0.019362 Loss_G: -0.013384 Loss_D_real: -0.006321 Loss_D_fake 0.013041
[1486/5000][510/535][153424] Loss_D: -0.018758 Loss_G: 0.033674 Loss_D_real: -0.028120 Loss_D_fake -0.009362
[1486/5000][515/535][153425] Loss_D: -0.019717 Loss_G: 0.019822 Loss_D_real: -0.018424 Loss_D_fake 0.001293
[1486/5000][520/535][153426] Loss_D: -0.020641 Loss_G: 0.006604 Loss_D_real: 0.002093 Loss_D_fake 0.022735
[1486/5000][525/535][153427] Loss_D: -0.019910 Loss_G: 0.013582 Loss_D_real: -0.017341 Loss_D_fake 0.002569
[1486/5000][530/535][153428] Loss_D: -0.019848 Loss_G: -0.006075 Loss_D_real: -0.014409 Loss_D_fake 0.005438
[1486/5000][535/535][153429] Loss_D: -0.019703 Loss_G: 0.045629 Loss_D_real: -0.027100 Loss_D_fake -0.007397
[1487/5000][5/535][153430] Loss_D: -0.019848 Loss_G: -0.015578 Loss_D_real: -0.009122 Loss_D_fake 0.010726
[1487/5000][10/535][153431] Loss_D: -0.018554 Loss_G: 0.022382 Loss_D_real: -0.024193 Loss_D_fake -0.005639
[1487/5000][15/535][153432] Loss_D: -0.019217 Loss_G: 0.007716 Loss_D_real: -0.012465 Loss_D_fake 0.006752
[1487/5000][20/535][153433] Loss_D: -0.019291 Loss_G: 0.015002 Loss_D_real: -0.024590 Loss_D_fake -0.005299
[1487/5000][25/535][153434] Loss_D: -0.019555 Loss_G: 0.001180 Loss_D_real: -0.020432 Loss_D_fake -0.000878
[1487/5000][30/535][153435] Loss_D: -0.020152 Loss_G: -0.006314 Loss_D_real: -0.019888 Loss_D_fake 0.000265
[1487/5000][35/535][153436] Loss_D: -0.020861 Loss_G: 0.010469 Loss_D_real: -0.014610 Loss_D_fake 0.006251
[1487/5000][40/535][153437] Loss_D: -0.020186 Loss_G: 0.010809 Loss_D_real: -0.022226 Loss_D_fake -0.002040
[1487/5000][45/535][153438] Loss_D: -0.019074 Loss_G: 0.006486 Loss_D_real: -0.025985 Loss_D_fake -0.006911
[1487/5000][50/535][153439] Loss_D: -0.020789 Loss_G: -0.015584 Loss_D_real: 0.002265 Loss_D_fake 0.023054
[1487/5000][55/535][153440] Loss_D: -0.019643 Loss_G: 0.006880 Loss_D_real: -0.010783 Loss_D_fake 0.008860
[1487/5000][60/535][153441] Loss_D: -0.020393 Loss_G: -0.002724 Loss_D_real: -0.003057 Loss_D_fake 0.017335
[1487/5000][65/535][153442] Loss_D: -0.019970 Loss_G: 0.002019 Loss_D_real: -0.018099 Loss_D_fake 0.001872
[1487/5000][70/535][153443] Loss_D: -0.020187 Loss_G: -0.003491 Loss_D_real: -0.017936 Loss_D_fake 0.002251
[1487/5000][75/535][153444] Loss_D: -0.021183 Loss_G: 0.024830 Loss_D_real: -0.019604 Loss_D_fake 0.001579
[1487/5000][80/535][153445] Loss_D: -0.019437 Loss_G: -0.002207 Loss_D_real: -0.005634 Loss_D_fake 0.013803
[1487/5000][85/535][153446] Loss_D: -0.019181 Loss_G: 0.018143 Loss_D_real: -0.031099 Loss_D_fake -0.011919
[1487/5000][90/535][153447] Loss_D: -0.021141 Loss_G: -0.013529 Loss_D_real: 0.001532 Loss_D_fake 0.022673
[1487/5000][95/535][153448] Loss_D: -0.020340 Loss_G: 0.007106 Loss_D_real: -0.005275 Loss_D_fake 0.015065
[1487/5000][100/535][153449] Loss_D: -0.021066 Loss_G: -0.004810 Loss_D_real: -0.019325 Loss_D_fake 0.001742
[1487/5000][105/535][153450] Loss_D: -0.019915 Loss_G: 0.006628 Loss_D_real: -0.024653 Loss_D_fake -0.004738
[1487/5000][110/535][153451] Loss_D: -0.020691 Loss_G: 0.017401 Loss_D_real: -0.018383 Loss_D_fake 0.002308
[1487/5000][115/535][153452] Loss_D: -0.020572 Loss_G: -0.001281 Loss_D_real: -0.004495 Loss_D_fake 0.016077
[1487/5000][120/535][153453] Loss_D: -0.020732 Loss_G: 0.011698 Loss_D_real: -0.016012 Loss_D_fake 0.004720
[1487/5000][125/535][153454] Loss_D: -0.019369 Loss_G: 0.007714 Loss_D_real: -0.004711 Loss_D_fake 0.014657
[1487/5000][130/535][153455] Loss_D: -0.020193 Loss_G: -0.001645 Loss_D_real: -0.013382 Loss_D_fake 0.006811
[1487/5000][135/535][153456] Loss_D: -0.020144 Loss_G: 0.015949 Loss_D_real: -0.018688 Loss_D_fake 0.001456
[1487/5000][140/535][153457] Loss_D: -0.020376 Loss_G: 0.013468 Loss_D_real: -0.018923 Loss_D_fake 0.001453
[1487/5000][145/535][153458] Loss_D: -0.019376 Loss_G: 0.005128 Loss_D_real: -0.009556 Loss_D_fake 0.009820
[1487/5000][150/535][153459] Loss_D: -0.017743 Loss_G: 0.017206 Loss_D_real: -0.030519 Loss_D_fake -0.012775
[1487/5000][155/535][153460] Loss_D: -0.019163 Loss_G: 0.017345 Loss_D_real: -0.021113 Loss_D_fake -0.001950
[1487/5000][160/535][153461] Loss_D: -0.020216 Loss_G: 0.004122 Loss_D_real: -0.014601 Loss_D_fake 0.005615
[1487/5000][165/535][153462] Loss_D: -0.021341 Loss_G: -0.005507 Loss_D_real: -0.012554 Loss_D_fake 0.008788
[1487/5000][170/535][153463] Loss_D: -0.020630 Loss_G: 0.004471 Loss_D_real: -0.026335 Loss_D_fake -0.005705
[1487/5000][175/535][153464] Loss_D: -0.021293 Loss_G: -0.005705 Loss_D_real: -0.011960 Loss_D_fake 0.009333
[1487/5000][180/535][153465] Loss_D: -0.022136 Loss_G: 0.011717 Loss_D_real: -0.009932 Loss_D_fake 0.012204
[1487/5000][185/535][153466] Loss_D: -0.020022 Loss_G: 0.020823 Loss_D_real: -0.025629 Loss_D_fake -0.005608
[1487/5000][190/535][153467] Loss_D: -0.019808 Loss_G: -0.006112 Loss_D_real: 0.005091 Loss_D_fake 0.024899
[1487/5000][195/535][153468] Loss_D: -0.020425 Loss_G: 0.012876 Loss_D_real: -0.024011 Loss_D_fake -0.003586
[1487/5000][200/535][153469] Loss_D: -0.019159 Loss_G: 0.026712 Loss_D_real: -0.030673 Loss_D_fake -0.011514
[1487/5000][205/535][153470] Loss_D: -0.018653 Loss_G: 0.013191 Loss_D_real: -0.015329 Loss_D_fake 0.003324
[1487/5000][210/535][153471] Loss_D: -0.020048 Loss_G: 0.008204 Loss_D_real: -0.033214 Loss_D_fake -0.013166
[1487/5000][215/535][153472] Loss_D: -0.019841 Loss_G: 0.017781 Loss_D_real: -0.030302 Loss_D_fake -0.010462
[1487/5000][220/535][153473] Loss_D: -0.019869 Loss_G: 0.008639 Loss_D_real: -0.021546 Loss_D_fake -0.001677
[1487/5000][225/535][153474] Loss_D: -0.020202 Loss_G: 0.003103 Loss_D_real: -0.000902 Loss_D_fake 0.019300
[1487/5000][230/535][153475] Loss_D: -0.019498 Loss_G: 0.001506 Loss_D_real: -0.026540 Loss_D_fake -0.007042
[1487/5000][235/535][153476] Loss_D: -0.020540 Loss_G: 0.021739 Loss_D_real: -0.029759 Loss_D_fake -0.009219
[1487/5000][240/535][153477] Loss_D: -0.020687 Loss_G: 0.009913 Loss_D_real: -0.018564 Loss_D_fake 0.002123
[1487/5000][245/535][153478] Loss_D: -0.017364 Loss_G: 0.020896 Loss_D_real: -0.023902 Loss_D_fake -0.006538
[1487/5000][250/535][153479] Loss_D: -0.019742 Loss_G: 0.021321 Loss_D_real: -0.025729 Loss_D_fake -0.005988
[1487/5000][255/535][153480] Loss_D: -0.021253 Loss_G: 0.011012 Loss_D_real: -0.010516 Loss_D_fake 0.010737
[1487/5000][260/535][153481] Loss_D: -0.019626 Loss_G: 0.007165 Loss_D_real: -0.016349 Loss_D_fake 0.003277
[1487/5000][265/535][153482] Loss_D: -0.020269 Loss_G: 0.015750 Loss_D_real: -0.020550 Loss_D_fake -0.000280
[1487/5000][270/535][153483] Loss_D: -0.020018 Loss_G: 0.016607 Loss_D_real: -0.014773 Loss_D_fake 0.005245
[1487/5000][275/535][153484] Loss_D: -0.020771 Loss_G: 0.013177 Loss_D_real: -0.020555 Loss_D_fake 0.000216
[1487/5000][280/535][153485] Loss_D: -0.019327 Loss_G: 0.013415 Loss_D_real: -0.019775 Loss_D_fake -0.000449
[1487/5000][285/535][153486] Loss_D: -0.019917 Loss_G: 0.025473 Loss_D_real: -0.025543 Loss_D_fake -0.005626
[1487/5000][290/535][153487] Loss_D: -0.020476 Loss_G: 0.001884 Loss_D_real: -0.019785 Loss_D_fake 0.000691
[1487/5000][295/535][153488] Loss_D: -0.020148 Loss_G: 0.023067 Loss_D_real: -0.027045 Loss_D_fake -0.006897
[1487/5000][300/535][153489] Loss_D: -0.020576 Loss_G: -0.007426 Loss_D_real: -0.001084 Loss_D_fake 0.019492
[1487/5000][305/535][153490] Loss_D: -0.019858 Loss_G: -0.000961 Loss_D_real: -0.017882 Loss_D_fake 0.001976
[1487/5000][310/535][153491] Loss_D: -0.019684 Loss_G: -0.000774 Loss_D_real: -0.010570 Loss_D_fake 0.009114
[1487/5000][315/535][153492] Loss_D: -0.019004 Loss_G: -0.002553 Loss_D_real: -0.020036 Loss_D_fake -0.001031
[1487/5000][320/535][153493] Loss_D: -0.018999 Loss_G: 0.010132 Loss_D_real: -0.015270 Loss_D_fake 0.003729
[1487/5000][325/535][153494] Loss_D: -0.018930 Loss_G: 0.024668 Loss_D_real: -0.025068 Loss_D_fake -0.006138
[1487/5000][330/535][153495] Loss_D: -0.020174 Loss_G: -0.000199 Loss_D_real: -0.004895 Loss_D_fake 0.015279
[1487/5000][335/535][153496] Loss_D: -0.019715 Loss_G: 0.003209 Loss_D_real: -0.008996 Loss_D_fake 0.010719
[1487/5000][340/535][153497] Loss_D: -0.018171 Loss_G: 0.000402 Loss_D_real: -0.010251 Loss_D_fake 0.007920
[1487/5000][345/535][153498] Loss_D: -0.018597 Loss_G: 0.000234 Loss_D_real: -0.011188 Loss_D_fake 0.007409
[1487/5000][350/535][153499] Loss_D: -0.017038 Loss_G: -0.009645 Loss_D_real: 0.007271 Loss_D_fake 0.024309
[1487/5000][355/535][153500] Loss_D: -0.019559 Loss_G: 0.019747 Loss_D_real: -0.025424 Loss_D_fake -0.005865
[1487/5000][455/535][153501] Loss_D: -0.022660 Loss_G: 0.007384 Loss_D_real: -0.012964 Loss_D_fake 0.009696
[1487/5000][460/535][153502] Loss_D: -0.020089 Loss_G: -0.010479 Loss_D_real: -0.003694 Loss_D_fake 0.016395
[1487/5000][465/535][153503] Loss_D: -0.017504 Loss_G: 0.010809 Loss_D_real: -0.019724 Loss_D_fake -0.002220
[1487/5000][470/535][153504] Loss_D: -0.018986 Loss_G: 0.016308 Loss_D_real: -0.007615 Loss_D_fake 0.011371
[1487/5000][475/535][153505] Loss_D: -0.018087 Loss_G: -0.004678 Loss_D_real: -0.006057 Loss_D_fake 0.012030
[1487/5000][480/535][153506] Loss_D: -0.019397 Loss_G: 0.007096 Loss_D_real: -0.025460 Loss_D_fake -0.006063
[1487/5000][485/535][153507] Loss_D: -0.019591 Loss_G: 0.014978 Loss_D_real: -0.025184 Loss_D_fake -0.005593
[1487/5000][490/535][153508] Loss_D: -0.020517 Loss_G: 0.010019 Loss_D_real: -0.012621 Loss_D_fake 0.007895
[1487/5000][495/535][153509] Loss_D: -0.018515 Loss_G: 0.005544 Loss_D_real: -0.024306 Loss_D_fake -0.005791
[1487/5000][500/535][153510] Loss_D: -0.018398 Loss_G: 0.013946 Loss_D_real: -0.021963 Loss_D_fake -0.003565
[1487/5000][505/535][153511] Loss_D: -0.019575 Loss_G: 0.006495 Loss_D_real: -0.008622 Loss_D_fake 0.010953
[1487/5000][510/535][153512] Loss_D: -0.020682 Loss_G: 0.012669 Loss_D_real: -0.017469 Loss_D_fake 0.003213
[1487/5000][515/535][153513] Loss_D: -0.020490 Loss_G: 0.003508 Loss_D_real: -0.020001 Loss_D_fake 0.000488
[1487/5000][520/535][153514] Loss_D: -0.020343 Loss_G: -0.003478 Loss_D_real: -0.012175 Loss_D_fake 0.008167
[1487/5000][525/535][153515] Loss_D: -0.021146 Loss_G: -0.003307 Loss_D_real: -0.017328 Loss_D_fake 0.003819
[1487/5000][530/535][153516] Loss_D: -0.018325 Loss_G: 0.030514 Loss_D_real: -0.022415 Loss_D_fake -0.004089
[1487/5000][535/535][153517] Loss_D: -0.019688 Loss_G: 0.038205 Loss_D_real: -0.022814 Loss_D_fake -0.003126
[1488/5000][5/535][153518] Loss_D: -0.019818 Loss_G: 0.003172 Loss_D_real: -0.018305 Loss_D_fake 0.001513
[1488/5000][10/535][153519] Loss_D: -0.019508 Loss_G: 0.003910 Loss_D_real: -0.013899 Loss_D_fake 0.005608
[1488/5000][15/535][153520] Loss_D: -0.019154 Loss_G: -0.014512 Loss_D_real: -0.005349 Loss_D_fake 0.013806
[1488/5000][20/535][153521] Loss_D: -0.018273 Loss_G: 0.007191 Loss_D_real: -0.010260 Loss_D_fake 0.008013
[1488/5000][25/535][153522] Loss_D: -0.018959 Loss_G: 0.002514 Loss_D_real: -0.012634 Loss_D_fake 0.006325
[1488/5000][30/535][153523] Loss_D: -0.020854 Loss_G: 0.006193 Loss_D_real: -0.011760 Loss_D_fake 0.009094
[1488/5000][35/535][153524] Loss_D: -0.019694 Loss_G: 0.014854 Loss_D_real: -0.021822 Loss_D_fake -0.002128
[1488/5000][40/535][153525] Loss_D: -0.019225 Loss_G: -0.018101 Loss_D_real: 0.003221 Loss_D_fake 0.022446
[1488/5000][45/535][153526] Loss_D: -0.019738 Loss_G: -0.000573 Loss_D_real: 0.005930 Loss_D_fake 0.025669
[1488/5000][50/535][153527] Loss_D: -0.020461 Loss_G: 0.010438 Loss_D_real: -0.014219 Loss_D_fake 0.006242
[1488/5000][55/535][153528] Loss_D: -0.019647 Loss_G: 0.031334 Loss_D_real: -0.026806 Loss_D_fake -0.007159
[1488/5000][60/535][153529] Loss_D: -0.020580 Loss_G: -0.008243 Loss_D_real: -0.020116 Loss_D_fake 0.000464
[1488/5000][65/535][153530] Loss_D: -0.020073 Loss_G: 0.012719 Loss_D_real: -0.010290 Loss_D_fake 0.009784
[1488/5000][70/535][153531] Loss_D: -0.019365 Loss_G: -0.017259 Loss_D_real: -0.004676 Loss_D_fake 0.014689
[1488/5000][75/535][153532] Loss_D: -0.019737 Loss_G: 0.015275 Loss_D_real: -0.011467 Loss_D_fake 0.008270
[1488/5000][80/535][153533] Loss_D: -0.019326 Loss_G: 0.019547 Loss_D_real: -0.014496 Loss_D_fake 0.004830
[1488/5000][85/535][153534] Loss_D: -0.021809 Loss_G: -0.001185 Loss_D_real: -0.014793 Loss_D_fake 0.007016
[1488/5000][90/535][153535] Loss_D: -0.020665 Loss_G: 0.003643 Loss_D_real: -0.017523 Loss_D_fake 0.003142
[1488/5000][95/535][153536] Loss_D: -0.020517 Loss_G: 0.017541 Loss_D_real: -0.019436 Loss_D_fake 0.001082
[1488/5000][100/535][153537] Loss_D: -0.019998 Loss_G: 0.021863 Loss_D_real: -0.027059 Loss_D_fake -0.007060
[1488/5000][105/535][153538] Loss_D: -0.021697 Loss_G: 0.007875 Loss_D_real: -0.022299 Loss_D_fake -0.000602
[1488/5000][110/535][153539] Loss_D: -0.022158 Loss_G: 0.006374 Loss_D_real: -0.011224 Loss_D_fake 0.010935
[1488/5000][115/535][153540] Loss_D: -0.019697 Loss_G: -0.013705 Loss_D_real: 0.001224 Loss_D_fake 0.020921
[1488/5000][120/535][153541] Loss_D: -0.020798 Loss_G: 0.019104 Loss_D_real: -0.019383 Loss_D_fake 0.001415
[1488/5000][125/535][153542] Loss_D: -0.021085 Loss_G: -0.000971 Loss_D_real: -0.019495 Loss_D_fake 0.001590
[1488/5000][130/535][153543] Loss_D: -0.021433 Loss_G: 0.028929 Loss_D_real: -0.018693 Loss_D_fake 0.002739
[1488/5000][135/535][153544] Loss_D: -0.019344 Loss_G: 0.012966 Loss_D_real: -0.025918 Loss_D_fake -0.006574
[1488/5000][140/535][153545] Loss_D: -0.019542 Loss_G: -0.012748 Loss_D_real: -0.012953 Loss_D_fake 0.006589
[1488/5000][145/535][153546] Loss_D: -0.020759 Loss_G: 0.015444 Loss_D_real: -0.022479 Loss_D_fake -0.001720
[1488/5000][150/535][153547] Loss_D: -0.019134 Loss_G: 0.003452 Loss_D_real: -0.010914 Loss_D_fake 0.008220
[1488/5000][155/535][153548] Loss_D: -0.019698 Loss_G: 0.003331 Loss_D_real: -0.016540 Loss_D_fake 0.003158
[1488/5000][160/535][153549] Loss_D: -0.017963 Loss_G: 0.031433 Loss_D_real: -0.032375 Loss_D_fake -0.014412
[1488/5000][165/535][153550] Loss_D: -0.018930 Loss_G: 0.008786 Loss_D_real: -0.023328 Loss_D_fake -0.004399
[1488/5000][170/535][153551] Loss_D: -0.017767 Loss_G: -0.009402 Loss_D_real: 0.005868 Loss_D_fake 0.023635
[1488/5000][175/535][153552] Loss_D: -0.018976 Loss_G: -0.008073 Loss_D_real: -0.012911 Loss_D_fake 0.006065
[1488/5000][180/535][153553] Loss_D: -0.021167 Loss_G: 0.013764 Loss_D_real: -0.023595 Loss_D_fake -0.002428
[1488/5000][185/535][153554] Loss_D: -0.019672 Loss_G: -0.012557 Loss_D_real: -0.010675 Loss_D_fake 0.008997
[1488/5000][190/535][153555] Loss_D: -0.018882 Loss_G: 0.004821 Loss_D_real: -0.017479 Loss_D_fake 0.001403
[1488/5000][195/535][153556] Loss_D: -0.020979 Loss_G: 0.013223 Loss_D_real: -0.026000 Loss_D_fake -0.005021
[1488/5000][200/535][153557] Loss_D: -0.019783 Loss_G: -0.004435 Loss_D_real: -0.002232 Loss_D_fake 0.017551
[1488/5000][205/535][153558] Loss_D: -0.019982 Loss_G: 0.002121 Loss_D_real: -0.017929 Loss_D_fake 0.002054
[1488/5000][210/535][153559] Loss_D: -0.018646 Loss_G: 0.023729 Loss_D_real: -0.025755 Loss_D_fake -0.007109
[1488/5000][215/535][153560] Loss_D: -0.019830 Loss_G: -0.002126 Loss_D_real: -0.001858 Loss_D_fake 0.017973
[1488/5000][220/535][153561] Loss_D: -0.019454 Loss_G: 0.014264 Loss_D_real: -0.024587 Loss_D_fake -0.005133
[1488/5000][225/535][153562] Loss_D: -0.019866 Loss_G: 0.023650 Loss_D_real: -0.016589 Loss_D_fake 0.003276
[1488/5000][230/535][153563] Loss_D: -0.018830 Loss_G: 0.025744 Loss_D_real: -0.026641 Loss_D_fake -0.007811
[1488/5000][235/535][153564] Loss_D: -0.019627 Loss_G: -0.004838 Loss_D_real: -0.029415 Loss_D_fake -0.009787
[1488/5000][240/535][153565] Loss_D: -0.019385 Loss_G: 0.003977 Loss_D_real: -0.020627 Loss_D_fake -0.001242
[1488/5000][245/535][153566] Loss_D: -0.019740 Loss_G: 0.002237 Loss_D_real: -0.011788 Loss_D_fake 0.007952
[1488/5000][250/535][153567] Loss_D: -0.019271 Loss_G: 0.028339 Loss_D_real: -0.031312 Loss_D_fake -0.012041
[1488/5000][255/535][153568] Loss_D: -0.020262 Loss_G: -0.000849 Loss_D_real: -0.002950 Loss_D_fake 0.017312
[1488/5000][260/535][153569] Loss_D: -0.020978 Loss_G: 0.005591 Loss_D_real: -0.018884 Loss_D_fake 0.002093
[1488/5000][265/535][153570] Loss_D: -0.020619 Loss_G: 0.001925 Loss_D_real: -0.003877 Loss_D_fake 0.016741
[1488/5000][270/535][153571] Loss_D: -0.019696 Loss_G: -0.012183 Loss_D_real: -0.014040 Loss_D_fake 0.005655
[1488/5000][275/535][153572] Loss_D: -0.018736 Loss_G: 0.018660 Loss_D_real: -0.022554 Loss_D_fake -0.003818
[1488/5000][280/535][153573] Loss_D: -0.020358 Loss_G: 0.004209 Loss_D_real: -0.018263 Loss_D_fake 0.002095
[1488/5000][285/535][153574] Loss_D: -0.020481 Loss_G: 0.027711 Loss_D_real: -0.036171 Loss_D_fake -0.015690
[1488/5000][290/535][153575] Loss_D: -0.020606 Loss_G: 0.007374 Loss_D_real: -0.016492 Loss_D_fake 0.004114
[1488/5000][295/535][153576] Loss_D: -0.018918 Loss_G: 0.009304 Loss_D_real: -0.023924 Loss_D_fake -0.005006
[1488/5000][300/535][153577] Loss_D: -0.019567 Loss_G: 0.020568 Loss_D_real: -0.026216 Loss_D_fake -0.006648
[1488/5000][305/535][153578] Loss_D: -0.021130 Loss_G: 0.002840 Loss_D_real: -0.025523 Loss_D_fake -0.004393
[1488/5000][310/535][153579] Loss_D: -0.020718 Loss_G: 0.012184 Loss_D_real: -0.008945 Loss_D_fake 0.011773
[1488/5000][315/535][153580] Loss_D: -0.019778 Loss_G: -0.000137 Loss_D_real: -0.009890 Loss_D_fake 0.009888
[1488/5000][320/535][153581] Loss_D: -0.019909 Loss_G: 0.014329 Loss_D_real: -0.023950 Loss_D_fake -0.004041
[1488/5000][325/535][153582] Loss_D: -0.019383 Loss_G: -0.000678 Loss_D_real: -0.015057 Loss_D_fake 0.004326
[1488/5000][330/535][153583] Loss_D: -0.019338 Loss_G: 0.000259 Loss_D_real: -0.008002 Loss_D_fake 0.011336
[1488/5000][335/535][153584] Loss_D: -0.019533 Loss_G: -0.011381 Loss_D_real: -0.004190 Loss_D_fake 0.015343
[1488/5000][340/535][153585] Loss_D: -0.021072 Loss_G: 0.011625 Loss_D_real: -0.007353 Loss_D_fake 0.013719
[1488/5000][345/535][153586] Loss_D: -0.018886 Loss_G: 0.002092 Loss_D_real: -0.006351 Loss_D_fake 0.012535
[1488/5000][350/535][153587] Loss_D: -0.020650 Loss_G: 0.013366 Loss_D_real: -0.028155 Loss_D_fake -0.007505
[1488/5000][355/535][153588] Loss_D: -0.019645 Loss_G: 0.005363 Loss_D_real: -0.009053 Loss_D_fake 0.010592
[1488/5000][360/535][153589] Loss_D: -0.018976 Loss_G: 0.027014 Loss_D_real: -0.027236 Loss_D_fake -0.008261
[1488/5000][365/535][153590] Loss_D: -0.019254 Loss_G: 0.002498 Loss_D_real: -0.011210 Loss_D_fake 0.008044
[1488/5000][370/535][153591] Loss_D: -0.019098 Loss_G: -0.020882 Loss_D_real: -0.016917 Loss_D_fake 0.002181
[1488/5000][375/535][153592] Loss_D: -0.018539 Loss_G: -0.003901 Loss_D_real: 0.002408 Loss_D_fake 0.020947
[1488/5000][380/535][153593] Loss_D: -0.021626 Loss_G: 0.002083 Loss_D_real: -0.012509 Loss_D_fake 0.009118
[1488/5000][385/535][153594] Loss_D: -0.020835 Loss_G: 0.014118 Loss_D_real: -0.007924 Loss_D_fake 0.012911
[1488/5000][390/535][153595] Loss_D: -0.020182 Loss_G: 0.011377 Loss_D_real: -0.019362 Loss_D_fake 0.000820
[1488/5000][395/535][153596] Loss_D: -0.020950 Loss_G: -0.002965 Loss_D_real: -0.016223 Loss_D_fake 0.004727
[1488/5000][400/535][153597] Loss_D: -0.020658 Loss_G: 0.014973 Loss_D_real: -0.011686 Loss_D_fake 0.008973
[1488/5000][405/535][153598] Loss_D: -0.019622 Loss_G: 0.020932 Loss_D_real: -0.022955 Loss_D_fake -0.003333
[1488/5000][410/535][153599] Loss_D: -0.019007 Loss_G: 0.003324 Loss_D_real: -0.008925 Loss_D_fake 0.010082
[1488/5000][415/535][153600] Loss_D: -0.019201 Loss_G: 0.017337 Loss_D_real: -0.018581 Loss_D_fake 0.000620
[1488/5000][420/535][153601] Loss_D: -0.021120 Loss_G: 0.000891 Loss_D_real: -0.006028 Loss_D_fake 0.015092
[1488/5000][425/535][153602] Loss_D: -0.020765 Loss_G: 0.014288 Loss_D_real: -0.021320 Loss_D_fake -0.000555
[1488/5000][430/535][153603] Loss_D: -0.018736 Loss_G: 0.000055 Loss_D_real: -0.014885 Loss_D_fake 0.003850
[1488/5000][435/535][153604] Loss_D: -0.019809 Loss_G: 0.009965 Loss_D_real: -0.022486 Loss_D_fake -0.002677
[1488/5000][440/535][153605] Loss_D: -0.020708 Loss_G: 0.012137 Loss_D_real: -0.007536 Loss_D_fake 0.013172
[1488/5000][445/535][153606] Loss_D: -0.019769 Loss_G: 0.003904 Loss_D_real: -0.002676 Loss_D_fake 0.017093
[1488/5000][450/535][153607] Loss_D: -0.020906 Loss_G: 0.015587 Loss_D_real: -0.018358 Loss_D_fake 0.002548
[1488/5000][455/535][153608] Loss_D: -0.019356 Loss_G: -0.000143 Loss_D_real: -0.020402 Loss_D_fake -0.001045
[1488/5000][460/535][153609] Loss_D: -0.019317 Loss_G: 0.016981 Loss_D_real: -0.021852 Loss_D_fake -0.002535
[1488/5000][465/535][153610] Loss_D: -0.019469 Loss_G: 0.000334 Loss_D_real: -0.012657 Loss_D_fake 0.006813
[1488/5000][470/535][153611] Loss_D: -0.019220 Loss_G: -0.009545 Loss_D_real: -0.012865 Loss_D_fake 0.006356
[1488/5000][475/535][153612] Loss_D: -0.020466 Loss_G: 0.021254 Loss_D_real: -0.019815 Loss_D_fake 0.000651
[1488/5000][480/535][153613] Loss_D: -0.019608 Loss_G: -0.001491 Loss_D_real: -0.006134 Loss_D_fake 0.013474
[1488/5000][485/535][153614] Loss_D: -0.016517 Loss_G: 0.024492 Loss_D_real: -0.036800 Loss_D_fake -0.020283
[1488/5000][490/535][153615] Loss_D: -0.017424 Loss_G: -0.022531 Loss_D_real: 0.011142 Loss_D_fake 0.028566
[1488/5000][495/535][153616] Loss_D: -0.018398 Loss_G: 0.017889 Loss_D_real: -0.026854 Loss_D_fake -0.008456
[1488/5000][500/535][153617] Loss_D: -0.020012 Loss_G: -0.014545 Loss_D_real: 0.003137 Loss_D_fake 0.023148
[1488/5000][505/535][153618] Loss_D: -0.020946 Loss_G: 0.007496 Loss_D_real: -0.008618 Loss_D_fake 0.012328
[1488/5000][510/535][153619] Loss_D: -0.020098 Loss_G: 0.016237 Loss_D_real: -0.014412 Loss_D_fake 0.005686
[1488/5000][515/535][153620] Loss_D: -0.020253 Loss_G: 0.018020 Loss_D_real: -0.022522 Loss_D_fake -0.002269
[1488/5000][520/535][153621] Loss_D: -0.020534 Loss_G: 0.006972 Loss_D_real: -0.007097 Loss_D_fake 0.013437
[1488/5000][525/535][153622] Loss_D: -0.020023 Loss_G: -0.000327 Loss_D_real: -0.012787 Loss_D_fake 0.007236
[1488/5000][530/535][153623] Loss_D: -0.020553 Loss_G: 0.011183 Loss_D_real: -0.020720 Loss_D_fake -0.000167
[1488/5000][535/535][153624] Loss_D: -0.018725 Loss_G: -0.011243 Loss_D_real: 0.001570 Loss_D_fake 0.020295
[1489/5000][5/535][153625] Loss_D: -0.020142 Loss_G: 0.008737 Loss_D_real: -0.011571 Loss_D_fake 0.008572
[1489/5000][10/535][153626] Loss_D: -0.020022 Loss_G: 0.020423 Loss_D_real: -0.020621 Loss_D_fake -0.000599
[1489/5000][15/535][153627] Loss_D: -0.019877 Loss_G: 0.011380 Loss_D_real: -0.006849 Loss_D_fake 0.013028
[1489/5000][20/535][153628] Loss_D: -0.020247 Loss_G: 0.011193 Loss_D_real: -0.033244 Loss_D_fake -0.012997
[1489/5000][25/535][153629] Loss_D: -0.019658 Loss_G: 0.020536 Loss_D_real: -0.031906 Loss_D_fake -0.012248
[1489/5000][30/535][153630] Loss_D: -0.019721 Loss_G: 0.002992 Loss_D_real: -0.011193 Loss_D_fake 0.008528
[1489/5000][35/535][153631] Loss_D: -0.020508 Loss_G: 0.016942 Loss_D_real: -0.029881 Loss_D_fake -0.009373
[1489/5000][40/535][153632] Loss_D: -0.019251 Loss_G: 0.014809 Loss_D_real: -0.025751 Loss_D_fake -0.006500
[1489/5000][45/535][153633] Loss_D: -0.019776 Loss_G: 0.004151 Loss_D_real: -0.034800 Loss_D_fake -0.015024
[1489/5000][50/535][153634] Loss_D: -0.019433 Loss_G: -0.022224 Loss_D_real: -0.006259 Loss_D_fake 0.013174
[1489/5000][55/535][153635] Loss_D: -0.019520 Loss_G: 0.010932 Loss_D_real: -0.007661 Loss_D_fake 0.011859
[1489/5000][60/535][153636] Loss_D: -0.019662 Loss_G: -0.001061 Loss_D_real: -0.007777 Loss_D_fake 0.011885
[1489/5000][65/535][153637] Loss_D: -0.019192 Loss_G: 0.003321 Loss_D_real: -0.014728 Loss_D_fake 0.004464
[1489/5000][70/535][153638] Loss_D: -0.019398 Loss_G: 0.012920 Loss_D_real: -0.009581 Loss_D_fake 0.009817
[1489/5000][75/535][153639] Loss_D: -0.019020 Loss_G: 0.020437 Loss_D_real: -0.035274 Loss_D_fake -0.016253
[1489/5000][80/535][153640] Loss_D: -0.020519 Loss_G: 0.001339 Loss_D_real: -0.000979 Loss_D_fake 0.019540
[1489/5000][85/535][153641] Loss_D: -0.020000 Loss_G: 0.015891 Loss_D_real: -0.016666 Loss_D_fake 0.003335
[1489/5000][90/535][153642] Loss_D: -0.020071 Loss_G: 0.008306 Loss_D_real: -0.010691 Loss_D_fake 0.009379
[1489/5000][95/535][153643] Loss_D: -0.019981 Loss_G: 0.005073 Loss_D_real: -0.007815 Loss_D_fake 0.012165
[1489/5000][100/535][153644] Loss_D: -0.020716 Loss_G: 0.006116 Loss_D_real: -0.010323 Loss_D_fake 0.010393
[1489/5000][105/535][153645] Loss_D: -0.020371 Loss_G: 0.003724 Loss_D_real: -0.017979 Loss_D_fake 0.002391
[1489/5000][110/535][153646] Loss_D: -0.021213 Loss_G: 0.006401 Loss_D_real: -0.020865 Loss_D_fake 0.000347
[1489/5000][115/535][153647] Loss_D: -0.019095 Loss_G: 0.017227 Loss_D_real: -0.017463 Loss_D_fake 0.001633
[1489/5000][120/535][153648] Loss_D: -0.020545 Loss_G: -0.008817 Loss_D_real: -0.009859 Loss_D_fake 0.010685
[1489/5000][125/535][153649] Loss_D: -0.020542 Loss_G: 0.018148 Loss_D_real: -0.014870 Loss_D_fake 0.005672
[1489/5000][130/535][153650] Loss_D: -0.021181 Loss_G: -0.003583 Loss_D_real: -0.007941 Loss_D_fake 0.013240
[1489/5000][135/535][153651] Loss_D: -0.020009 Loss_G: 0.005321 Loss_D_real: -0.010420 Loss_D_fake 0.009589
[1489/5000][140/535][153652] Loss_D: -0.017868 Loss_G: 0.010481 Loss_D_real: -0.029350 Loss_D_fake -0.011483
[1489/5000][145/535][153653] Loss_D: -0.020179 Loss_G: 0.007596 Loss_D_real: -0.017501 Loss_D_fake 0.002678
[1489/5000][150/535][153654] Loss_D: -0.019081 Loss_G: 0.012792 Loss_D_real: -0.029856 Loss_D_fake -0.010775
[1489/5000][155/535][153655] Loss_D: -0.020195 Loss_G: 0.015699 Loss_D_real: -0.015166 Loss_D_fake 0.005029
[1489/5000][160/535][153656] Loss_D: -0.017789 Loss_G: 0.031185 Loss_D_real: -0.034150 Loss_D_fake -0.016361
[1489/5000][165/535][153657] Loss_D: -0.019036 Loss_G: 0.017967 Loss_D_real: -0.016135 Loss_D_fake 0.002902
[1489/5000][170/535][153658] Loss_D: -0.020618 Loss_G: 0.000691 Loss_D_real: -0.017304 Loss_D_fake 0.003315
[1489/5000][175/535][153659] Loss_D: -0.019404 Loss_G: -0.008642 Loss_D_real: 0.001593 Loss_D_fake 0.020996
[1489/5000][180/535][153660] Loss_D: -0.019560 Loss_G: 0.015533 Loss_D_real: -0.022655 Loss_D_fake -0.003094
[1489/5000][185/535][153661] Loss_D: -0.019540 Loss_G: -0.004006 Loss_D_real: 0.002952 Loss_D_fake 0.022492
[1489/5000][190/535][153662] Loss_D: -0.020359 Loss_G: 0.007559 Loss_D_real: -0.020460 Loss_D_fake -0.000100
[1489/5000][195/535][153663] Loss_D: -0.018626 Loss_G: 0.016913 Loss_D_real: -0.016736 Loss_D_fake 0.001890
[1489/5000][200/535][153664] Loss_D: -0.019697 Loss_G: -0.013773 Loss_D_real: -0.005609 Loss_D_fake 0.014088
[1489/5000][205/535][153665] Loss_D: -0.020954 Loss_G: 0.014634 Loss_D_real: -0.022524 Loss_D_fake -0.001570
[1489/5000][210/535][153666] Loss_D: -0.018799 Loss_G: -0.004045 Loss_D_real: -0.010975 Loss_D_fake 0.007824
[1489/5000][215/535][153667] Loss_D: -0.019396 Loss_G: 0.014509 Loss_D_real: -0.021318 Loss_D_fake -0.001922
[1489/5000][220/535][153668] Loss_D: -0.019972 Loss_G: 0.017291 Loss_D_real: -0.038627 Loss_D_fake -0.018655
[1489/5000][225/535][153669] Loss_D: -0.019329 Loss_G: 0.015107 Loss_D_real: -0.019869 Loss_D_fake -0.000540
[1489/5000][230/535][153670] Loss_D: -0.019280 Loss_G: 0.017554 Loss_D_real: -0.014971 Loss_D_fake 0.004309
[1489/5000][235/535][153671] Loss_D: -0.020478 Loss_G: 0.000611 Loss_D_real: -0.018015 Loss_D_fake 0.002463
[1489/5000][240/535][153672] Loss_D: -0.019855 Loss_G: 0.024008 Loss_D_real: -0.030401 Loss_D_fake -0.010545
[1489/5000][245/535][153673] Loss_D: -0.020365 Loss_G: 0.016112 Loss_D_real: -0.016049 Loss_D_fake 0.004316
[1489/5000][250/535][153674] Loss_D: -0.020422 Loss_G: 0.007704 Loss_D_real: -0.022983 Loss_D_fake -0.002560
[1489/5000][255/535][153675] Loss_D: -0.019881 Loss_G: 0.004169 Loss_D_real: -0.014927 Loss_D_fake 0.004954
[1489/5000][260/535][153676] Loss_D: -0.018984 Loss_G: 0.011903 Loss_D_real: -0.024849 Loss_D_fake -0.005865
[1489/5000][265/535][153677] Loss_D: -0.018471 Loss_G: 0.007939 Loss_D_real: -0.015329 Loss_D_fake 0.003142
[1489/5000][270/535][153678] Loss_D: -0.019513 Loss_G: 0.002443 Loss_D_real: -0.010311 Loss_D_fake 0.009202
[1489/5000][275/535][153679] Loss_D: -0.020785 Loss_G: 0.019449 Loss_D_real: -0.006914 Loss_D_fake 0.013871
[1489/5000][280/535][153680] Loss_D: -0.018947 Loss_G: 0.003836 Loss_D_real: 0.004908 Loss_D_fake 0.023855
[1489/5000][285/535][153681] Loss_D: -0.018562 Loss_G: 0.017200 Loss_D_real: -0.016602 Loss_D_fake 0.001960
[1489/5000][290/535][153682] Loss_D: -0.020952 Loss_G: -0.006864 Loss_D_real: -0.013185 Loss_D_fake 0.007766
[1489/5000][295/535][153683] Loss_D: -0.019833 Loss_G: 0.016476 Loss_D_real: -0.021517 Loss_D_fake -0.001684
[1489/5000][300/535][153684] Loss_D: -0.019522 Loss_G: -0.011512 Loss_D_real: 0.007603 Loss_D_fake 0.027125
[1489/5000][305/535][153685] Loss_D: -0.021349 Loss_G: -0.006796 Loss_D_real: -0.003440 Loss_D_fake 0.017909
[1489/5000][310/535][153686] Loss_D: -0.020192 Loss_G: 0.009221 Loss_D_real: -0.009194 Loss_D_fake 0.010998
[1489/5000][315/535][153687] Loss_D: -0.020180 Loss_G: 0.025915 Loss_D_real: -0.026589 Loss_D_fake -0.006409
[1489/5000][320/535][153688] Loss_D: -0.018758 Loss_G: -0.008685 Loss_D_real: -0.013722 Loss_D_fake 0.005037
[1489/5000][325/535][153689] Loss_D: -0.020325 Loss_G: -0.000256 Loss_D_real: -0.010564 Loss_D_fake 0.009761
[1489/5000][330/535][153690] Loss_D: -0.019434 Loss_G: -0.007671 Loss_D_real: -0.018875 Loss_D_fake 0.000559
[1489/5000][335/535][153691] Loss_D: -0.019883 Loss_G: 0.020388 Loss_D_real: -0.014359 Loss_D_fake 0.005525
[1489/5000][340/535][153692] Loss_D: -0.018970 Loss_G: -0.005637 Loss_D_real: -0.002513 Loss_D_fake 0.016457
[1489/5000][345/535][153693] Loss_D: -0.017607 Loss_G: 0.021391 Loss_D_real: -0.028406 Loss_D_fake -0.010799
[1489/5000][350/535][153694] Loss_D: -0.019430 Loss_G: 0.007346 Loss_D_real: -0.012679 Loss_D_fake 0.006751
[1489/5000][355/535][153695] Loss_D: -0.017980 Loss_G: 0.021404 Loss_D_real: -0.020653 Loss_D_fake -0.002673
[1489/5000][360/535][153696] Loss_D: -0.018574 Loss_G: -0.005125 Loss_D_real: -0.000806 Loss_D_fake 0.017768
[1489/5000][365/535][153697] Loss_D: -0.019570 Loss_G: 0.012852 Loss_D_real: -0.025165 Loss_D_fake -0.005595
[1489/5000][370/535][153698] Loss_D: -0.019483 Loss_G: 0.018701 Loss_D_real: -0.017177 Loss_D_fake 0.002306
[1489/5000][375/535][153699] Loss_D: -0.021248 Loss_G: -0.000903 Loss_D_real: -0.008474 Loss_D_fake 0.012775
[1489/5000][380/535][153700] Loss_D: -0.019419 Loss_G: 0.006549 Loss_D_real: -0.013500 Loss_D_fake 0.005919
[1489/5000][385/535][153701] Loss_D: -0.019318 Loss_G: -0.001367 Loss_D_real: -0.013065 Loss_D_fake 0.006253
[1489/5000][390/535][153702] Loss_D: -0.019540 Loss_G: -0.005326 Loss_D_real: -0.011829 Loss_D_fake 0.007711
[1489/5000][395/535][153703] Loss_D: -0.020686 Loss_G: 0.009273 Loss_D_real: -0.026898 Loss_D_fake -0.006212
[1489/5000][400/535][153704] Loss_D: -0.020431 Loss_G: 0.008655 Loss_D_real: -0.017870 Loss_D_fake 0.002561
[1489/5000][405/535][153705] Loss_D: -0.020168 Loss_G: 0.008438 Loss_D_real: -0.010749 Loss_D_fake 0.009419
[1489/5000][410/535][153706] Loss_D: -0.019914 Loss_G: 0.011695 Loss_D_real: -0.024789 Loss_D_fake -0.004875
[1489/5000][415/535][153707] Loss_D: -0.021220 Loss_G: 0.013325 Loss_D_real: -0.001660 Loss_D_fake 0.019560
[1489/5000][420/535][153708] Loss_D: -0.019826 Loss_G: 0.010259 Loss_D_real: -0.016612 Loss_D_fake 0.003215
[1489/5000][425/535][153709] Loss_D: -0.019521 Loss_G: 0.016084 Loss_D_real: -0.026483 Loss_D_fake -0.006962
[1489/5000][430/535][153710] Loss_D: -0.019233 Loss_G: -0.016710 Loss_D_real: 0.002449 Loss_D_fake 0.021682
[1489/5000][435/535][153711] Loss_D: -0.020592 Loss_G: -0.002308 Loss_D_real: -0.015544 Loss_D_fake 0.005048
[1489/5000][440/535][153712] Loss_D: -0.020775 Loss_G: 0.002326 Loss_D_real: 0.002100 Loss_D_fake 0.022875
[1489/5000][445/535][153713] Loss_D: -0.020317 Loss_G: -0.008596 Loss_D_real: -0.010922 Loss_D_fake 0.009395
[1489/5000][450/535][153714] Loss_D: -0.021117 Loss_G: 0.007292 Loss_D_real: -0.007298 Loss_D_fake 0.013818
[1489/5000][455/535][153715] Loss_D: -0.018981 Loss_G: 0.028719 Loss_D_real: -0.027632 Loss_D_fake -0.008650
[1489/5000][460/535][153716] Loss_D: -0.018369 Loss_G: 0.022226 Loss_D_real: -0.032935 Loss_D_fake -0.014565
[1489/5000][465/535][153717] Loss_D: -0.020228 Loss_G: 0.008604 Loss_D_real: -0.017583 Loss_D_fake 0.002645
[1489/5000][470/535][153718] Loss_D: -0.018310 Loss_G: 0.019726 Loss_D_real: -0.018553 Loss_D_fake -0.000243
[1489/5000][475/535][153719] Loss_D: -0.018040 Loss_G: -0.008394 Loss_D_real: -0.003124 Loss_D_fake 0.014917
[1489/5000][480/535][153720] Loss_D: -0.020438 Loss_G: 0.020573 Loss_D_real: -0.017598 Loss_D_fake 0.002839
[1489/5000][485/535][153721] Loss_D: -0.019037 Loss_G: -0.001420 Loss_D_real: -0.020460 Loss_D_fake -0.001423
[1489/5000][490/535][153722] Loss_D: -0.019830 Loss_G: 0.013688 Loss_D_real: -0.014027 Loss_D_fake 0.005804
[1489/5000][495/535][153723] Loss_D: -0.019833 Loss_G: 0.021133 Loss_D_real: -0.028245 Loss_D_fake -0.008412
[1489/5000][500/535][153724] Loss_D: -0.020084 Loss_G: 0.018072 Loss_D_real: -0.014353 Loss_D_fake 0.005730
[1489/5000][505/535][153725] Loss_D: -0.019786 Loss_G: -0.008389 Loss_D_real: -0.009450 Loss_D_fake 0.010336
[1489/5000][510/535][153726] Loss_D: -0.020366 Loss_G: -0.005037 Loss_D_real: -0.009483 Loss_D_fake 0.010882
[1489/5000][515/535][153727] Loss_D: -0.019334 Loss_G: -0.002515 Loss_D_real: -0.008765 Loss_D_fake 0.010569
[1489/5000][520/535][153728] Loss_D: -0.018997 Loss_G: 0.009314 Loss_D_real: -0.021942 Loss_D_fake -0.002945
[1489/5000][525/535][153729] Loss_D: -0.022096 Loss_G: -0.004755 Loss_D_real: -0.000488 Loss_D_fake 0.021608
[1489/5000][530/535][153730] Loss_D: -0.021718 Loss_G: 0.003969 Loss_D_real: -0.014719 Loss_D_fake 0.007000
[1489/5000][535/535][153731] Loss_D: -0.023638 Loss_G: 0.046676 Loss_D_real: -0.026583 Loss_D_fake -0.002945
[1490/5000][5/535][153732] Loss_D: -0.018577 Loss_G: -0.015496 Loss_D_real: -0.018175 Loss_D_fake 0.000402
[1490/5000][10/535][153733] Loss_D: -0.018950 Loss_G: 0.011804 Loss_D_real: -0.037083 Loss_D_fake -0.018133
[1490/5000][15/535][153734] Loss_D: -0.019781 Loss_G: -0.008357 Loss_D_real: -0.002824 Loss_D_fake 0.016958
[1490/5000][20/535][153735] Loss_D: -0.021864 Loss_G: 0.010024 Loss_D_real: -0.013433 Loss_D_fake 0.008431
[1490/5000][25/535][153736] Loss_D: -0.020812 Loss_G: 0.007430 Loss_D_real: -0.015053 Loss_D_fake 0.005759
[1490/5000][30/535][153737] Loss_D: -0.021491 Loss_G: 0.011339 Loss_D_real: -0.018606 Loss_D_fake 0.002885
[1490/5000][35/535][153738] Loss_D: -0.020378 Loss_G: 0.004059 Loss_D_real: -0.006272 Loss_D_fake 0.014106
[1490/5000][40/535][153739] Loss_D: -0.020033 Loss_G: 0.005544 Loss_D_real: -0.009211 Loss_D_fake 0.010822
[1490/5000][45/535][153740] Loss_D: -0.020797 Loss_G: 0.015369 Loss_D_real: -0.021141 Loss_D_fake -0.000344
[1490/5000][50/535][153741] Loss_D: -0.020394 Loss_G: 0.006790 Loss_D_real: -0.009263 Loss_D_fake 0.011131
[1490/5000][55/535][153742] Loss_D: -0.020055 Loss_G: 0.006034 Loss_D_real: -0.006698 Loss_D_fake 0.013357
[1490/5000][60/535][153743] Loss_D: -0.018932 Loss_G: 0.006847 Loss_D_real: -0.014767 Loss_D_fake 0.004166
[1490/5000][65/535][153744] Loss_D: -0.019077 Loss_G: 0.018298 Loss_D_real: -0.031119 Loss_D_fake -0.012042
[1490/5000][70/535][153745] Loss_D: -0.019500 Loss_G: 0.004951 Loss_D_real: -0.004315 Loss_D_fake 0.015185
[1490/5000][75/535][153746] Loss_D: -0.021057 Loss_G: 0.001899 Loss_D_real: -0.006988 Loss_D_fake 0.014069
[1490/5000][80/535][153747] Loss_D: -0.020546 Loss_G: 0.015132 Loss_D_real: -0.027499 Loss_D_fake -0.006953
[1490/5000][85/535][153748] Loss_D: -0.020131 Loss_G: 0.014005 Loss_D_real: -0.026597 Loss_D_fake -0.006466
[1490/5000][90/535][153749] Loss_D: -0.020498 Loss_G: -0.003274 Loss_D_real: -0.002173 Loss_D_fake 0.018324
[1490/5000][95/535][153750] Loss_D: -0.019582 Loss_G: 0.019690 Loss_D_real: -0.029944 Loss_D_fake -0.010362
[1490/5000][100/535][153751] Loss_D: -0.018998 Loss_G: 0.012522 Loss_D_real: -0.031458 Loss_D_fake -0.012459
[1490/5000][105/535][153752] Loss_D: -0.019856 Loss_G: 0.017444 Loss_D_real: -0.025567 Loss_D_fake -0.005711
[1490/5000][110/535][153753] Loss_D: -0.019629 Loss_G: 0.015236 Loss_D_real: -0.014465 Loss_D_fake 0.005164
[1490/5000][115/535][153754] Loss_D: -0.019852 Loss_G: 0.002372 Loss_D_real: -0.023906 Loss_D_fake -0.004055
[1490/5000][120/535][153755] Loss_D: -0.019554 Loss_G: -0.002012 Loss_D_real: -0.018634 Loss_D_fake 0.000920
[1490/5000][125/535][153756] Loss_D: -0.019401 Loss_G: 0.008898 Loss_D_real: -0.023827 Loss_D_fake -0.004427
[1490/5000][130/535][153757] Loss_D: -0.019396 Loss_G: 0.008793 Loss_D_real: -0.011038 Loss_D_fake 0.008358
[1490/5000][135/535][153758] Loss_D: -0.019837 Loss_G: 0.012408 Loss_D_real: -0.023418 Loss_D_fake -0.003581
[1490/5000][140/535][153759] Loss_D: -0.020566 Loss_G: 0.006469 Loss_D_real: -0.003920 Loss_D_fake 0.016646
[1490/5000][145/535][153760] Loss_D: -0.018959 Loss_G: 0.018583 Loss_D_real: -0.031478 Loss_D_fake -0.012519
[1490/5000][150/535][153761] Loss_D: -0.019925 Loss_G: 0.020189 Loss_D_real: -0.029044 Loss_D_fake -0.009120
[1490/5000][155/535][153762] Loss_D: -0.018896 Loss_G: 0.033746 Loss_D_real: -0.029490 Loss_D_fake -0.010594
[1490/5000][160/535][153763] Loss_D: -0.019764 Loss_G: 0.010573 Loss_D_real: -0.020271 Loss_D_fake -0.000507
[1490/5000][165/535][153764] Loss_D: -0.019738 Loss_G: 0.021104 Loss_D_real: -0.021192 Loss_D_fake -0.001455
[1490/5000][170/535][153765] Loss_D: -0.020673 Loss_G: -0.007916 Loss_D_real: -0.001416 Loss_D_fake 0.019257
[1490/5000][175/535][153766] Loss_D: -0.020678 Loss_G: 0.027363 Loss_D_real: -0.026462 Loss_D_fake -0.005784
[1490/5000][180/535][153767] Loss_D: -0.019254 Loss_G: 0.000909 Loss_D_real: -0.017400 Loss_D_fake 0.001854
[1490/5000][185/535][153768] Loss_D: -0.018494 Loss_G: 0.021753 Loss_D_real: -0.024516 Loss_D_fake -0.006022
[1490/5000][190/535][153769] Loss_D: -0.018845 Loss_G: 0.000033 Loss_D_real: -0.017507 Loss_D_fake 0.001338
[1490/5000][195/535][153770] Loss_D: -0.021144 Loss_G: -0.005545 Loss_D_real: -0.010534 Loss_D_fake 0.010609
[1490/5000][200/535][153771] Loss_D: -0.018500 Loss_G: -0.005351 Loss_D_real: -0.015125 Loss_D_fake 0.003375
[1490/5000][205/535][153772] Loss_D: -0.019133 Loss_G: 0.027686 Loss_D_real: -0.032983 Loss_D_fake -0.013850
[1490/5000][210/535][153773] Loss_D: -0.018641 Loss_G: 0.003306 Loss_D_real: -0.009130 Loss_D_fake 0.009510
[1490/5000][215/535][153774] Loss_D: -0.019896 Loss_G: -0.006761 Loss_D_real: -0.011047 Loss_D_fake 0.008849
[1490/5000][220/535][153775] Loss_D: -0.019773 Loss_G: -0.002550 Loss_D_real: -0.002105 Loss_D_fake 0.017668
[1490/5000][225/535][153776] Loss_D: -0.017332 Loss_G: -0.007157 Loss_D_real: -0.008978 Loss_D_fake 0.008355
[1490/5000][230/535][153777] Loss_D: -0.019113 Loss_G: 0.013796 Loss_D_real: -0.016893 Loss_D_fake 0.002220
[1490/5000][235/535][153778] Loss_D: -0.019998 Loss_G: -0.001948 Loss_D_real: -0.006262 Loss_D_fake 0.013736
[1490/5000][240/535][153779] Loss_D: -0.018389 Loss_G: 0.034273 Loss_D_real: -0.026510 Loss_D_fake -0.008120
[1490/5000][245/535][153780] Loss_D: -0.020194 Loss_G: 0.012200 Loss_D_real: -0.015427 Loss_D_fake 0.004767
[1490/5000][250/535][153781] Loss_D: -0.018919 Loss_G: 0.012941 Loss_D_real: -0.022567 Loss_D_fake -0.003648
[1490/5000][255/535][153782] Loss_D: -0.021007 Loss_G: 0.006016 Loss_D_real: -0.010155 Loss_D_fake 0.010852
[1490/5000][260/535][153783] Loss_D: -0.019501 Loss_G: 0.006830 Loss_D_real: -0.026142 Loss_D_fake -0.006641
[1490/5000][265/535][153784] Loss_D: -0.021778 Loss_G: 0.012453 Loss_D_real: -0.020705 Loss_D_fake 0.001074
[1490/5000][270/535][153785] Loss_D: -0.020690 Loss_G: 0.012460 Loss_D_real: -0.017055 Loss_D_fake 0.003635
[1490/5000][275/535][153786] Loss_D: -0.019949 Loss_G: 0.013037 Loss_D_real: -0.009223 Loss_D_fake 0.010725
[1490/5000][280/535][153787] Loss_D: -0.020581 Loss_G: 0.016565 Loss_D_real: -0.027871 Loss_D_fake -0.007291
[1490/5000][285/535][153788] Loss_D: -0.021787 Loss_G: 0.003008 Loss_D_real: -0.008299 Loss_D_fake 0.013488
[1490/5000][290/535][153789] Loss_D: -0.019953 Loss_G: -0.001089 Loss_D_real: -0.017142 Loss_D_fake 0.002811
[1490/5000][295/535][153790] Loss_D: -0.020389 Loss_G: 0.006814 Loss_D_real: -0.006681 Loss_D_fake 0.013708
[1490/5000][300/535][153791] Loss_D: -0.019451 Loss_G: 0.012099 Loss_D_real: -0.029116 Loss_D_fake -0.009664
[1490/5000][305/535][153792] Loss_D: -0.019245 Loss_G: -0.000786 Loss_D_real: -0.004103 Loss_D_fake 0.015142
[1490/5000][310/535][153793] Loss_D: -0.019480 Loss_G: 0.023407 Loss_D_real: -0.019115 Loss_D_fake 0.000365
[1490/5000][315/535][153794] Loss_D: -0.020620 Loss_G: -0.002315 Loss_D_real: -0.009386 Loss_D_fake 0.011234
[1490/5000][320/535][153795] Loss_D: -0.019613 Loss_G: 0.006306 Loss_D_real: -0.021418 Loss_D_fake -0.001805
[1490/5000][325/535][153796] Loss_D: -0.020254 Loss_G: 0.014841 Loss_D_real: -0.006230 Loss_D_fake 0.014024
[1490/5000][330/535][153797] Loss_D: -0.019613 Loss_G: 0.013854 Loss_D_real: -0.017959 Loss_D_fake 0.001653
[1490/5000][335/535][153798] Loss_D: -0.019558 Loss_G: 0.018002 Loss_D_real: -0.023505 Loss_D_fake -0.003947
[1490/5000][340/535][153799] Loss_D: -0.019016 Loss_G: 0.009857 Loss_D_real: -0.030471 Loss_D_fake -0.011455
[1490/5000][345/535][153800] Loss_D: -0.021367 Loss_G: 0.001085 Loss_D_real: -0.013828 Loss_D_fake 0.007538
[1490/5000][350/535][153801] Loss_D: -0.019977 Loss_G: 0.012622 Loss_D_real: -0.024211 Loss_D_fake -0.004234
[1490/5000][355/535][153802] Loss_D: -0.019903 Loss_G: 0.010202 Loss_D_real: -0.019081 Loss_D_fake 0.000822
[1490/5000][360/535][153803] Loss_D: -0.021749 Loss_G: 0.007500 Loss_D_real: -0.027256 Loss_D_fake -0.005507
[1490/5000][365/535][153804] Loss_D: -0.020117 Loss_G: -0.001714 Loss_D_real: -0.017929 Loss_D_fake 0.002188
[1490/5000][370/535][153805] Loss_D: -0.021599 Loss_G: 0.008231 Loss_D_real: -0.013280 Loss_D_fake 0.008319
[1490/5000][375/535][153806] Loss_D: -0.018850 Loss_G: -0.013364 Loss_D_real: -0.001489 Loss_D_fake 0.017362
[1490/5000][380/535][153807] Loss_D: -0.020640 Loss_G: 0.021224 Loss_D_real: -0.020456 Loss_D_fake 0.000184
[1490/5000][385/535][153808] Loss_D: -0.020570 Loss_G: 0.015165 Loss_D_real: -0.018835 Loss_D_fake 0.001736
[1490/5000][390/535][153809] Loss_D: -0.019754 Loss_G: -0.001123 Loss_D_real: -0.015179 Loss_D_fake 0.004576
[1490/5000][395/535][153810] Loss_D: -0.020145 Loss_G: 0.014274 Loss_D_real: -0.010722 Loss_D_fake 0.009423
[1490/5000][400/535][153811] Loss_D: -0.020170 Loss_G: -0.001773 Loss_D_real: -0.005903 Loss_D_fake 0.014266
[1490/5000][405/535][153812] Loss_D: -0.019664 Loss_G: 0.015885 Loss_D_real: -0.029001 Loss_D_fake -0.009337
[1490/5000][410/535][153813] Loss_D: -0.019455 Loss_G: -0.015633 Loss_D_real: -0.004983 Loss_D_fake 0.014473
[1490/5000][415/535][153814] Loss_D: -0.019907 Loss_G: -0.004278 Loss_D_real: -0.015261 Loss_D_fake 0.004646
[1490/5000][420/535][153815] Loss_D: -0.018714 Loss_G: 0.010580 Loss_D_real: -0.005953 Loss_D_fake 0.012761
[1490/5000][425/535][153816] Loss_D: -0.019654 Loss_G: 0.020073 Loss_D_real: -0.018704 Loss_D_fake 0.000950
[1490/5000][430/535][153817] Loss_D: -0.019535 Loss_G: 0.011091 Loss_D_real: -0.024404 Loss_D_fake -0.004869
[1490/5000][435/535][153818] Loss_D: -0.019919 Loss_G: -0.002197 Loss_D_real: -0.014845 Loss_D_fake 0.005074
[1490/5000][440/535][153819] Loss_D: -0.019186 Loss_G: 0.019492 Loss_D_real: -0.034124 Loss_D_fake -0.014938
[1490/5000][445/535][153820] Loss_D: -0.019893 Loss_G: 0.008140 Loss_D_real: -0.002859 Loss_D_fake 0.017034
[1490/5000][450/535][153821] Loss_D: -0.019609 Loss_G: 0.020242 Loss_D_real: -0.014304 Loss_D_fake 0.005305
[1490/5000][455/535][153822] Loss_D: -0.020034 Loss_G: -0.005293 Loss_D_real: -0.007103 Loss_D_fake 0.012931
[1490/5000][460/535][153823] Loss_D: -0.018547 Loss_G: 0.012980 Loss_D_real: -0.028729 Loss_D_fake -0.010182
[1490/5000][465/535][153824] Loss_D: -0.020830 Loss_G: 0.003644 Loss_D_real: -0.021147 Loss_D_fake -0.000317
[1490/5000][470/535][153825] Loss_D: -0.020032 Loss_G: -0.006820 Loss_D_real: -0.005556 Loss_D_fake 0.014476
[1490/5000][475/535][153826] Loss_D: -0.019674 Loss_G: -0.001762 Loss_D_real: -0.003111 Loss_D_fake 0.016563
[1490/5000][480/535][153827] Loss_D: -0.019575 Loss_G: -0.008520 Loss_D_real: -0.001041 Loss_D_fake 0.018534
[1490/5000][485/535][153828] Loss_D: -0.020224 Loss_G: 0.002765 Loss_D_real: -0.012948 Loss_D_fake 0.007276
[1490/5000][490/535][153829] Loss_D: -0.021830 Loss_G: 0.004262 Loss_D_real: -0.007861 Loss_D_fake 0.013970
[1490/5000][495/535][153830] Loss_D: -0.018783 Loss_G: 0.022163 Loss_D_real: -0.034266 Loss_D_fake -0.015483
[1490/5000][500/535][153831] Loss_D: -0.020349 Loss_G: 0.007509 Loss_D_real: -0.012240 Loss_D_fake 0.008108
[1490/5000][505/535][153832] Loss_D: -0.020942 Loss_G: -0.018604 Loss_D_real: -0.005123 Loss_D_fake 0.015819
[1490/5000][510/535][153833] Loss_D: -0.019413 Loss_G: -0.002362 Loss_D_real: -0.011034 Loss_D_fake 0.008379
[1490/5000][515/535][153834] Loss_D: -0.019577 Loss_G: 0.014150 Loss_D_real: -0.020887 Loss_D_fake -0.001311
[1490/5000][520/535][153835] Loss_D: -0.019782 Loss_G: 0.015814 Loss_D_real: -0.015246 Loss_D_fake 0.004536
[1490/5000][525/535][153836] Loss_D: -0.018375 Loss_G: 0.004778 Loss_D_real: 0.000920 Loss_D_fake 0.019295
[1490/5000][530/535][153837] Loss_D: -0.018220 Loss_G: -0.009123 Loss_D_real: -0.009112 Loss_D_fake 0.009108
[1490/5000][535/535][153838] Loss_D: -0.021957 Loss_G: 0.012098 Loss_D_real: -0.027009 Loss_D_fake -0.005051
[1491/5000][5/535][153839] Loss_D: -0.018428 Loss_G: -0.002023 Loss_D_real: -0.002566 Loss_D_fake 0.015862
[1491/5000][10/535][153840] Loss_D: -0.018888 Loss_G: 0.002824 Loss_D_real: -0.009905 Loss_D_fake 0.008983
[1491/5000][15/535][153841] Loss_D: -0.017446 Loss_G: 0.019996 Loss_D_real: -0.033985 Loss_D_fake -0.016539
[1491/5000][20/535][153842] Loss_D: -0.018557 Loss_G: 0.001535 Loss_D_real: -0.015361 Loss_D_fake 0.003195
[1491/5000][25/535][153843] Loss_D: -0.019758 Loss_G: 0.017625 Loss_D_real: -0.025511 Loss_D_fake -0.005753
[1491/5000][30/535][153844] Loss_D: -0.019791 Loss_G: 0.008288 Loss_D_real: -0.032960 Loss_D_fake -0.013170
[1491/5000][35/535][153845] Loss_D: -0.020818 Loss_G: 0.005004 Loss_D_real: -0.007181 Loss_D_fake 0.013638
[1491/5000][40/535][153846] Loss_D: -0.020581 Loss_G: -0.001675 Loss_D_real: -0.012913 Loss_D_fake 0.007667
[1491/5000][45/535][153847] Loss_D: -0.017721 Loss_G: 0.024405 Loss_D_real: -0.029780 Loss_D_fake -0.012059
[1491/5000][50/535][153848] Loss_D: -0.020040 Loss_G: 0.009139 Loss_D_real: -0.014149 Loss_D_fake 0.005892
[1491/5000][55/535][153849] Loss_D: -0.020272 Loss_G: 0.016297 Loss_D_real: -0.017619 Loss_D_fake 0.002653
[1491/5000][60/535][153850] Loss_D: -0.020929 Loss_G: 0.017599 Loss_D_real: -0.030348 Loss_D_fake -0.009419
[1491/5000][65/535][153851] Loss_D: -0.020540 Loss_G: 0.026501 Loss_D_real: -0.005889 Loss_D_fake 0.014651
[1491/5000][70/535][153852] Loss_D: -0.020219 Loss_G: 0.006457 Loss_D_real: -0.014718 Loss_D_fake 0.005500
[1491/5000][75/535][153853] Loss_D: -0.020871 Loss_G: 0.020425 Loss_D_real: -0.028959 Loss_D_fake -0.008088
[1491/5000][80/535][153854] Loss_D: -0.020145 Loss_G: -0.002384 Loss_D_real: -0.007456 Loss_D_fake 0.012689
[1491/5000][85/535][153855] Loss_D: -0.020516 Loss_G: 0.024256 Loss_D_real: -0.017049 Loss_D_fake 0.003466
[1491/5000][90/535][153856] Loss_D: -0.021367 Loss_G: -0.006555 Loss_D_real: -0.029221 Loss_D_fake -0.007854
[1491/5000][95/535][153857] Loss_D: -0.020686 Loss_G: -0.005304 Loss_D_real: -0.005224 Loss_D_fake 0.015462
[1491/5000][100/535][153858] Loss_D: -0.020799 Loss_G: 0.014200 Loss_D_real: -0.010712 Loss_D_fake 0.010087
[1491/5000][105/535][153859] Loss_D: -0.020582 Loss_G: 0.005176 Loss_D_real: -0.012587 Loss_D_fake 0.007995
[1491/5000][110/535][153860] Loss_D: -0.019780 Loss_G: 0.001649 Loss_D_real: -0.008023 Loss_D_fake 0.011757
[1491/5000][115/535][153861] Loss_D: -0.020100 Loss_G: -0.010186 Loss_D_real: -0.015792 Loss_D_fake 0.004308
[1491/5000][120/535][153862] Loss_D: -0.020199 Loss_G: 0.006218 Loss_D_real: -0.011851 Loss_D_fake 0.008348
[1491/5000][125/535][153863] Loss_D: -0.020438 Loss_G: 0.021970 Loss_D_real: -0.027277 Loss_D_fake -0.006839
[1491/5000][130/535][153864] Loss_D: -0.019946 Loss_G: 0.010286 Loss_D_real: -0.013834 Loss_D_fake 0.006112
[1491/5000][135/535][153865] Loss_D: -0.018998 Loss_G: 0.011536 Loss_D_real: -0.028401 Loss_D_fake -0.009403
[1491/5000][140/535][153866] Loss_D: -0.021215 Loss_G: 0.006078 Loss_D_real: -0.016645 Loss_D_fake 0.004571
[1491/5000][145/535][153867] Loss_D: -0.019228 Loss_G: -0.013274 Loss_D_real: -0.012880 Loss_D_fake 0.006349
[1491/5000][150/535][153868] Loss_D: -0.020104 Loss_G: 0.005056 Loss_D_real: -0.022405 Loss_D_fake -0.002301
[1491/5000][155/535][153869] Loss_D: -0.019203 Loss_G: 0.000328 Loss_D_real: -0.013005 Loss_D_fake 0.006198
[1491/5000][160/535][153870] Loss_D: -0.020604 Loss_G: -0.007929 Loss_D_real: -0.004158 Loss_D_fake 0.016447
[1491/5000][165/535][153871] Loss_D: -0.020223 Loss_G: 0.020726 Loss_D_real: -0.017488 Loss_D_fake 0.002735
[1491/5000][170/535][153872] Loss_D: -0.018803 Loss_G: 0.023954 Loss_D_real: -0.037628 Loss_D_fake -0.018825
[1491/5000][175/535][153873] Loss_D: -0.017599 Loss_G: 0.025804 Loss_D_real: -0.026296 Loss_D_fake -0.008696
[1491/5000][180/535][153874] Loss_D: -0.019173 Loss_G: 0.013615 Loss_D_real: -0.020435 Loss_D_fake -0.001262
[1491/5000][185/535][153875] Loss_D: -0.019338 Loss_G: 0.019749 Loss_D_real: -0.022963 Loss_D_fake -0.003625
[1491/5000][190/535][153876] Loss_D: -0.019854 Loss_G: 0.014657 Loss_D_real: -0.024050 Loss_D_fake -0.004195
[1491/5000][195/535][153877] Loss_D: -0.019690 Loss_G: 0.016321 Loss_D_real: -0.005730 Loss_D_fake 0.013960
[1491/5000][200/535][153878] Loss_D: -0.018758 Loss_G: 0.033067 Loss_D_real: -0.019043 Loss_D_fake -0.000284
[1491/5000][205/535][153879] Loss_D: -0.019796 Loss_G: 0.002515 Loss_D_real: -0.020230 Loss_D_fake -0.000434
[1491/5000][210/535][153880] Loss_D: -0.019158 Loss_G: 0.019897 Loss_D_real: -0.030860 Loss_D_fake -0.011703
[1491/5000][215/535][153881] Loss_D: -0.019142 Loss_G: 0.004511 Loss_D_real: -0.023510 Loss_D_fake -0.004369
[1491/5000][220/535][153882] Loss_D: -0.021351 Loss_G: -0.006682 Loss_D_real: -0.010240 Loss_D_fake 0.011112
[1491/5000][225/535][153883] Loss_D: -0.016207 Loss_G: 0.026923 Loss_D_real: -0.035190 Loss_D_fake -0.018982
[1491/5000][230/535][153884] Loss_D: -0.019485 Loss_G: -0.008135 Loss_D_real: -0.003521 Loss_D_fake 0.015964
[1491/5000][235/535][153885] Loss_D: -0.020323 Loss_G: -0.000598 Loss_D_real: -0.020844 Loss_D_fake -0.000521
[1491/5000][240/535][153886] Loss_D: -0.019931 Loss_G: 0.004340 Loss_D_real: -0.003512 Loss_D_fake 0.016419
[1491/5000][245/535][153887] Loss_D: -0.018965 Loss_G: 0.005399 Loss_D_real: -0.021874 Loss_D_fake -0.002909
[1491/5000][250/535][153888] Loss_D: -0.020069 Loss_G: 0.011750 Loss_D_real: -0.017698 Loss_D_fake 0.002371
[1491/5000][255/535][153889] Loss_D: -0.019063 Loss_G: 0.015787 Loss_D_real: -0.021940 Loss_D_fake -0.002877
[1491/5000][260/535][153890] Loss_D: -0.020362 Loss_G: 0.004616 Loss_D_real: -0.014530 Loss_D_fake 0.005832
[1491/5000][265/535][153891] Loss_D: -0.020096 Loss_G: 0.019107 Loss_D_real: -0.018415 Loss_D_fake 0.001681
[1491/5000][270/535][153892] Loss_D: -0.020138 Loss_G: 0.000946 Loss_D_real: -0.003843 Loss_D_fake 0.016295
[1491/5000][275/535][153893] Loss_D: -0.019079 Loss_G: 0.027057 Loss_D_real: -0.028250 Loss_D_fake -0.009171
[1491/5000][280/535][153894] Loss_D: -0.019991 Loss_G: 0.013593 Loss_D_real: -0.010429 Loss_D_fake 0.009562
[1491/5000][285/535][153895] Loss_D: -0.020688 Loss_G: 0.001386 Loss_D_real: -0.014238 Loss_D_fake 0.006449
[1491/5000][290/535][153896] Loss_D: -0.019359 Loss_G: 0.021853 Loss_D_real: -0.037160 Loss_D_fake -0.017801
[1491/5000][295/535][153897] Loss_D: -0.020845 Loss_G: 0.000343 Loss_D_real: -0.013480 Loss_D_fake 0.007364
[1491/5000][300/535][153898] Loss_D: -0.019735 Loss_G: 0.009161 Loss_D_real: -0.022934 Loss_D_fake -0.003200
[1491/5000][305/535][153899] Loss_D: -0.020219 Loss_G: -0.000029 Loss_D_real: -0.017030 Loss_D_fake 0.003189
[1491/5000][310/535][153900] Loss_D: -0.021120 Loss_G: -0.003345 Loss_D_real: -0.013188 Loss_D_fake 0.007932
[1491/5000][315/535][153901] Loss_D: -0.020882 Loss_G: 0.001281 Loss_D_real: -0.021591 Loss_D_fake -0.000709
[1491/5000][320/535][153902] Loss_D: -0.019845 Loss_G: -0.007598 Loss_D_real: -0.007514 Loss_D_fake 0.012331
[1491/5000][325/535][153903] Loss_D: -0.019348 Loss_G: 0.003504 Loss_D_real: -0.015454 Loss_D_fake 0.003894
[1491/5000][330/535][153904] Loss_D: -0.020216 Loss_G: 0.007248 Loss_D_real: -0.014629 Loss_D_fake 0.005587
[1491/5000][335/535][153905] Loss_D: -0.020252 Loss_G: 0.001663 Loss_D_real: -0.033079 Loss_D_fake -0.012828
[1491/5000][340/535][153906] Loss_D: -0.020780 Loss_G: 0.001784 Loss_D_real: -0.015915 Loss_D_fake 0.004865
[1491/5000][345/535][153907] Loss_D: -0.020144 Loss_G: 0.014380 Loss_D_real: -0.021137 Loss_D_fake -0.000994
[1491/5000][350/535][153908] Loss_D: -0.020477 Loss_G: 0.003446 Loss_D_real: -0.002952 Loss_D_fake 0.017524
[1491/5000][355/535][153909] Loss_D: -0.019840 Loss_G: 0.010965 Loss_D_real: -0.025360 Loss_D_fake -0.005520
[1491/5000][360/535][153910] Loss_D: -0.021288 Loss_G: 0.016978 Loss_D_real: -0.024520 Loss_D_fake -0.003232
[1491/5000][365/535][153911] Loss_D: -0.020921 Loss_G: 0.023500 Loss_D_real: -0.004942 Loss_D_fake 0.015979
[1491/5000][370/535][153912] Loss_D: -0.020073 Loss_G: -0.000478 Loss_D_real: -0.017316 Loss_D_fake 0.002757
[1491/5000][375/535][153913] Loss_D: -0.019701 Loss_G: 0.027349 Loss_D_real: -0.024392 Loss_D_fake -0.004691
[1491/5000][380/535][153914] Loss_D: -0.019323 Loss_G: -0.002124 Loss_D_real: -0.002302 Loss_D_fake 0.017021
[1491/5000][385/535][153915] Loss_D: -0.020438 Loss_G: -0.001933 Loss_D_real: -0.016974 Loss_D_fake 0.003463
[1491/5000][390/535][153916] Loss_D: -0.018695 Loss_G: 0.014391 Loss_D_real: -0.019963 Loss_D_fake -0.001268
[1491/5000][395/535][153917] Loss_D: -0.019176 Loss_G: 0.019196 Loss_D_real: -0.027408 Loss_D_fake -0.008232
[1491/5000][400/535][153918] Loss_D: -0.018724 Loss_G: 0.000240 Loss_D_real: -0.011691 Loss_D_fake 0.007032
[1491/5000][405/535][153919] Loss_D: -0.019714 Loss_G: 0.007184 Loss_D_real: -0.025953 Loss_D_fake -0.006240
[1491/5000][410/535][153920] Loss_D: -0.019884 Loss_G: 0.019304 Loss_D_real: -0.014903 Loss_D_fake 0.004980
[1491/5000][415/535][153921] Loss_D: -0.019495 Loss_G: 0.007402 Loss_D_real: -0.022475 Loss_D_fake -0.002981
[1491/5000][420/535][153922] Loss_D: -0.019870 Loss_G: 0.004263 Loss_D_real: -0.015227 Loss_D_fake 0.004643
[1491/5000][425/535][153923] Loss_D: -0.019153 Loss_G: 0.007879 Loss_D_real: -0.031899 Loss_D_fake -0.012745
[1491/5000][430/535][153924] Loss_D: -0.019305 Loss_G: 0.010632 Loss_D_real: -0.018915 Loss_D_fake 0.000389
[1491/5000][435/535][153925] Loss_D: -0.018926 Loss_G: 0.016244 Loss_D_real: -0.007448 Loss_D_fake 0.011478
[1491/5000][440/535][153926] Loss_D: -0.019113 Loss_G: 0.005320 Loss_D_real: -0.024349 Loss_D_fake -0.005236
[1491/5000][445/535][153927] Loss_D: -0.019595 Loss_G: 0.019590 Loss_D_real: -0.028582 Loss_D_fake -0.008987
[1491/5000][450/535][153928] Loss_D: -0.018190 Loss_G: 0.022323 Loss_D_real: -0.023891 Loss_D_fake -0.005701
[1491/5000][455/535][153929] Loss_D: -0.019135 Loss_G: -0.004052 Loss_D_real: 0.000846 Loss_D_fake 0.019981
[1491/5000][460/535][153930] Loss_D: -0.017997 Loss_G: 0.018350 Loss_D_real: -0.024676 Loss_D_fake -0.006679
[1491/5000][465/535][153931] Loss_D: -0.020578 Loss_G: -0.002404 Loss_D_real: -0.009341 Loss_D_fake 0.011237
[1491/5000][470/535][153932] Loss_D: -0.019922 Loss_G: 0.013532 Loss_D_real: -0.015984 Loss_D_fake 0.003938
[1491/5000][475/535][153933] Loss_D: -0.019170 Loss_G: 0.027649 Loss_D_real: -0.030487 Loss_D_fake -0.011317
[1491/5000][480/535][153934] Loss_D: -0.019450 Loss_G: 0.001793 Loss_D_real: -0.003037 Loss_D_fake 0.016414
[1491/5000][485/535][153935] Loss_D: -0.019905 Loss_G: 0.003786 Loss_D_real: -0.012737 Loss_D_fake 0.007167
[1491/5000][490/535][153936] Loss_D: -0.020229 Loss_G: 0.014633 Loss_D_real: -0.014963 Loss_D_fake 0.005265
[1491/5000][495/535][153937] Loss_D: -0.018961 Loss_G: 0.005283 Loss_D_real: -0.023500 Loss_D_fake -0.004539
[1491/5000][500/535][153938] Loss_D: -0.020399 Loss_G: 0.002883 Loss_D_real: -0.022677 Loss_D_fake -0.002278
[1491/5000][505/535][153939] Loss_D: -0.018830 Loss_G: 0.032223 Loss_D_real: -0.027583 Loss_D_fake -0.008753
[1491/5000][510/535][153940] Loss_D: -0.020334 Loss_G: 0.015266 Loss_D_real: -0.017814 Loss_D_fake 0.002520
[1491/5000][515/535][153941] Loss_D: -0.021472 Loss_G: -0.001560 Loss_D_real: -0.017581 Loss_D_fake 0.003891
[1491/5000][520/535][153942] Loss_D: -0.019865 Loss_G: 0.016845 Loss_D_real: -0.023282 Loss_D_fake -0.003417
[1491/5000][525/535][153943] Loss_D: -0.020377 Loss_G: 0.000660 Loss_D_real: -0.008450 Loss_D_fake 0.011928
[1491/5000][530/535][153944] Loss_D: -0.020228 Loss_G: -0.001968 Loss_D_real: -0.018682 Loss_D_fake 0.001546
[1491/5000][535/535][153945] Loss_D: -0.019998 Loss_G: 0.008303 Loss_D_real: -0.007611 Loss_D_fake 0.012387
[1492/5000][5/535][153946] Loss_D: -0.020613 Loss_G: -0.003954 Loss_D_real: -0.010342 Loss_D_fake 0.010271
[1492/5000][10/535][153947] Loss_D: -0.019550 Loss_G: -0.001687 Loss_D_real: -0.002094 Loss_D_fake 0.017456
[1492/5000][15/535][153948] Loss_D: -0.019766 Loss_G: 0.019078 Loss_D_real: -0.025077 Loss_D_fake -0.005311
[1492/5000][20/535][153949] Loss_D: -0.019939 Loss_G: 0.007636 Loss_D_real: 0.000277 Loss_D_fake 0.020216
[1492/5000][25/535][153950] Loss_D: -0.019746 Loss_G: 0.012949 Loss_D_real: -0.017335 Loss_D_fake 0.002410
[1492/5000][30/535][153951] Loss_D: -0.019598 Loss_G: 0.020972 Loss_D_real: -0.018783 Loss_D_fake 0.000815
[1492/5000][35/535][153952] Loss_D: -0.019177 Loss_G: -0.004965 Loss_D_real: -0.010963 Loss_D_fake 0.008214
[1492/5000][40/535][153953] Loss_D: -0.019204 Loss_G: -0.001722 Loss_D_real: -0.002605 Loss_D_fake 0.016599
[1492/5000][45/535][153954] Loss_D: -0.019056 Loss_G: 0.026887 Loss_D_real: -0.025699 Loss_D_fake -0.006643
[1492/5000][50/535][153955] Loss_D: -0.021231 Loss_G: 0.005684 Loss_D_real: -0.011794 Loss_D_fake 0.009437
[1492/5000][55/535][153956] Loss_D: -0.020089 Loss_G: 0.001269 Loss_D_real: -0.014571 Loss_D_fake 0.005518
[1492/5000][60/535][153957] Loss_D: -0.019873 Loss_G: 0.013991 Loss_D_real: -0.024700 Loss_D_fake -0.004827
[1492/5000][65/535][153958] Loss_D: -0.019142 Loss_G: 0.009336 Loss_D_real: -0.022198 Loss_D_fake -0.003057
[1492/5000][70/535][153959] Loss_D: -0.018351 Loss_G: 0.027475 Loss_D_real: -0.030167 Loss_D_fake -0.011816
[1492/5000][75/535][153960] Loss_D: -0.018796 Loss_G: 0.003187 Loss_D_real: -0.007047 Loss_D_fake 0.011748
[1492/5000][80/535][153961] Loss_D: -0.020191 Loss_G: 0.005256 Loss_D_real: -0.012254 Loss_D_fake 0.007936
[1492/5000][85/535][153962] Loss_D: -0.019520 Loss_G: 0.014892 Loss_D_real: -0.020534 Loss_D_fake -0.001014
[1492/5000][90/535][153963] Loss_D: -0.019582 Loss_G: 0.013497 Loss_D_real: -0.020885 Loss_D_fake -0.001303
[1492/5000][95/535][153964] Loss_D: -0.019866 Loss_G: 0.007336 Loss_D_real: -0.022495 Loss_D_fake -0.002629
[1492/5000][100/535][153965] Loss_D: -0.019762 Loss_G: 0.005310 Loss_D_real: -0.014933 Loss_D_fake 0.004829
[1492/5000][105/535][153966] Loss_D: -0.019016 Loss_G: 0.018406 Loss_D_real: -0.015417 Loss_D_fake 0.003599
[1492/5000][110/535][153967] Loss_D: -0.017525 Loss_G: 0.024641 Loss_D_real: -0.027096 Loss_D_fake -0.009571
[1492/5000][115/535][153968] Loss_D: -0.020703 Loss_G: 0.004571 Loss_D_real: -0.019394 Loss_D_fake 0.001309
[1492/5000][120/535][153969] Loss_D: -0.019953 Loss_G: -0.007506 Loss_D_real: -0.026060 Loss_D_fake -0.006108
[1492/5000][125/535][153970] Loss_D: -0.019909 Loss_G: -0.003495 Loss_D_real: -0.008403 Loss_D_fake 0.011506
[1492/5000][130/535][153971] Loss_D: -0.019543 Loss_G: 0.014807 Loss_D_real: -0.021605 Loss_D_fake -0.002062
[1492/5000][135/535][153972] Loss_D: -0.020585 Loss_G: 0.020656 Loss_D_real: -0.018582 Loss_D_fake 0.002003
[1492/5000][140/535][153973] Loss_D: -0.020521 Loss_G: 0.005118 Loss_D_real: -0.011155 Loss_D_fake 0.009366
[1492/5000][145/535][153974] Loss_D: -0.019150 Loss_G: 0.029955 Loss_D_real: -0.036886 Loss_D_fake -0.017736
[1492/5000][150/535][153975] Loss_D: -0.018816 Loss_G: -0.015893 Loss_D_real: -0.007476 Loss_D_fake 0.011340
[1492/5000][155/535][153976] Loss_D: -0.021284 Loss_G: 0.000329 Loss_D_real: -0.017687 Loss_D_fake 0.003597
[1492/5000][160/535][153977] Loss_D: -0.021241 Loss_G: 0.009729 Loss_D_real: -0.023090 Loss_D_fake -0.001849
[1492/5000][165/535][153978] Loss_D: -0.020253 Loss_G: 0.000944 Loss_D_real: -0.018076 Loss_D_fake 0.002177
[1492/5000][170/535][153979] Loss_D: -0.020124 Loss_G: 0.019209 Loss_D_real: -0.030952 Loss_D_fake -0.010829
[1492/5000][175/535][153980] Loss_D: -0.021658 Loss_G: 0.014883 Loss_D_real: -0.024207 Loss_D_fake -0.002550
[1492/5000][180/535][153981] Loss_D: -0.020650 Loss_G: -0.004154 Loss_D_real: -0.009868 Loss_D_fake 0.010782
[1492/5000][185/535][153982] Loss_D: -0.019565 Loss_G: -0.003864 Loss_D_real: -0.011864 Loss_D_fake 0.007701
[1492/5000][190/535][153983] Loss_D: -0.019544 Loss_G: 0.029497 Loss_D_real: -0.020142 Loss_D_fake -0.000597
[1492/5000][195/535][153984] Loss_D: -0.020485 Loss_G: 0.022258 Loss_D_real: -0.026285 Loss_D_fake -0.005801
[1492/5000][200/535][153985] Loss_D: -0.018992 Loss_G: 0.013943 Loss_D_real: -0.029828 Loss_D_fake -0.010836
[1492/5000][205/535][153986] Loss_D: -0.019443 Loss_G: 0.006559 Loss_D_real: -0.024945 Loss_D_fake -0.005501
[1492/5000][210/535][153987] Loss_D: -0.019186 Loss_G: -0.011439 Loss_D_real: 0.010307 Loss_D_fake 0.029494
[1492/5000][215/535][153988] Loss_D: -0.019178 Loss_G: 0.000481 Loss_D_real: -0.021854 Loss_D_fake -0.002676
[1492/5000][220/535][153989] Loss_D: -0.021434 Loss_G: 0.009537 Loss_D_real: -0.025134 Loss_D_fake -0.003700
[1492/5000][225/535][153990] Loss_D: -0.019947 Loss_G: -0.012325 Loss_D_real: 0.005968 Loss_D_fake 0.025915
[1492/5000][230/535][153991] Loss_D: -0.018583 Loss_G: 0.014235 Loss_D_real: -0.020990 Loss_D_fake -0.002407
[1492/5000][235/535][153992] Loss_D: -0.020234 Loss_G: 0.003832 Loss_D_real: -0.025595 Loss_D_fake -0.005361
[1492/5000][240/535][153993] Loss_D: -0.020312 Loss_G: 0.013258 Loss_D_real: -0.012204 Loss_D_fake 0.008108
[1492/5000][245/535][153994] Loss_D: -0.021038 Loss_G: 0.013086 Loss_D_real: -0.021834 Loss_D_fake -0.000797
[1492/5000][250/535][153995] Loss_D: -0.019952 Loss_G: 0.020431 Loss_D_real: -0.026274 Loss_D_fake -0.006322
[1492/5000][255/535][153996] Loss_D: -0.018573 Loss_G: 0.012685 Loss_D_real: -0.012014 Loss_D_fake 0.006559
[1492/5000][260/535][153997] Loss_D: -0.018509 Loss_G: 0.017746 Loss_D_real: -0.018821 Loss_D_fake -0.000312
[1492/5000][265/535][153998] Loss_D: -0.019287 Loss_G: 0.006235 Loss_D_real: -0.020123 Loss_D_fake -0.000836
[1492/5000][270/535][153999] Loss_D: -0.020670 Loss_G: 0.015788 Loss_D_real: -0.022235 Loss_D_fake -0.001565
[1492/5000][275/535][154000] Loss_D: -0.019480 Loss_G: 0.003649 Loss_D_real: -0.008498 Loss_D_fake 0.010982
[1492/5000][375/535][154001] Loss_D: -0.019404 Loss_G: 0.032815 Loss_D_real: -0.029281 Loss_D_fake -0.009877
[1492/5000][380/535][154002] Loss_D: -0.019843 Loss_G: 0.012321 Loss_D_real: -0.017285 Loss_D_fake 0.002557
[1492/5000][385/535][154003] Loss_D: -0.017929 Loss_G: 0.012515 Loss_D_real: -0.018286 Loss_D_fake -0.000357
[1492/5000][390/535][154004] Loss_D: -0.018722 Loss_G: 0.015213 Loss_D_real: -0.020213 Loss_D_fake -0.001491
[1492/5000][395/535][154005] Loss_D: -0.018664 Loss_G: -0.009556 Loss_D_real: 0.001401 Loss_D_fake 0.020064
[1492/5000][400/535][154006] Loss_D: -0.019370 Loss_G: -0.013651 Loss_D_real: -0.013135 Loss_D_fake 0.006235
[1492/5000][405/535][154007] Loss_D: -0.019515 Loss_G: -0.006182 Loss_D_real: 0.005393 Loss_D_fake 0.024908
[1492/5000][410/535][154008] Loss_D: -0.017976 Loss_G: -0.000430 Loss_D_real: -0.015521 Loss_D_fake 0.002455
[1492/5000][415/535][154009] Loss_D: -0.020887 Loss_G: 0.010885 Loss_D_real: -0.013955 Loss_D_fake 0.006932
[1492/5000][420/535][154010] Loss_D: -0.019251 Loss_G: 0.014828 Loss_D_real: -0.031120 Loss_D_fake -0.011869
[1492/5000][425/535][154011] Loss_D: -0.019596 Loss_G: 0.005664 Loss_D_real: -0.016062 Loss_D_fake 0.003534
[1492/5000][430/535][154012] Loss_D: -0.019324 Loss_G: 0.013228 Loss_D_real: -0.021465 Loss_D_fake -0.002141
[1492/5000][435/535][154013] Loss_D: -0.019477 Loss_G: 0.018048 Loss_D_real: -0.007892 Loss_D_fake 0.011584
[1492/5000][440/535][154014] Loss_D: -0.019393 Loss_G: 0.024958 Loss_D_real: -0.028421 Loss_D_fake -0.009028
[1492/5000][445/535][154015] Loss_D: -0.020735 Loss_G: -0.019698 Loss_D_real: -0.010444 Loss_D_fake 0.010291
[1492/5000][450/535][154016] Loss_D: -0.017891 Loss_G: 0.018058 Loss_D_real: -0.031763 Loss_D_fake -0.013872
[1492/5000][455/535][154017] Loss_D: -0.018945 Loss_G: 0.010888 Loss_D_real: -0.023434 Loss_D_fake -0.004489
[1492/5000][460/535][154018] Loss_D: -0.017738 Loss_G: -0.013419 Loss_D_real: -0.001035 Loss_D_fake 0.016703
[1492/5000][465/535][154019] Loss_D: -0.019460 Loss_G: 0.014124 Loss_D_real: -0.019660 Loss_D_fake -0.000200
[1492/5000][470/535][154020] Loss_D: -0.019158 Loss_G: -0.004614 Loss_D_real: -0.005806 Loss_D_fake 0.013352
[1492/5000][475/535][154021] Loss_D: -0.018615 Loss_G: 0.008520 Loss_D_real: -0.020276 Loss_D_fake -0.001661
[1492/5000][480/535][154022] Loss_D: -0.019643 Loss_G: 0.006165 Loss_D_real: -0.016553 Loss_D_fake 0.003090
[1492/5000][485/535][154023] Loss_D: -0.019414 Loss_G: 0.026922 Loss_D_real: -0.024936 Loss_D_fake -0.005522
[1492/5000][490/535][154024] Loss_D: -0.019442 Loss_G: -0.003078 Loss_D_real: -0.006295 Loss_D_fake 0.013147
[1492/5000][495/535][154025] Loss_D: -0.019518 Loss_G: 0.012925 Loss_D_real: -0.026791 Loss_D_fake -0.007273
[1492/5000][500/535][154026] Loss_D: -0.019414 Loss_G: 0.001765 Loss_D_real: 0.000153 Loss_D_fake 0.019567
[1492/5000][505/535][154027] Loss_D: -0.019337 Loss_G: 0.011179 Loss_D_real: -0.026644 Loss_D_fake -0.007307
[1492/5000][510/535][154028] Loss_D: -0.019649 Loss_G: 0.017128 Loss_D_real: -0.020401 Loss_D_fake -0.000752
[1492/5000][515/535][154029] Loss_D: -0.018008 Loss_G: 0.013939 Loss_D_real: -0.026622 Loss_D_fake -0.008614
[1492/5000][520/535][154030] Loss_D: -0.019912 Loss_G: 0.001180 Loss_D_real: -0.018842 Loss_D_fake 0.001070
[1492/5000][525/535][154031] Loss_D: -0.018101 Loss_G: 0.008477 Loss_D_real: -0.016990 Loss_D_fake 0.001111
[1492/5000][530/535][154032] Loss_D: -0.019486 Loss_G: -0.012173 Loss_D_real: -0.015764 Loss_D_fake 0.003723
[1492/5000][535/535][154033] Loss_D: -0.017866 Loss_G: 0.039586 Loss_D_real: -0.006617 Loss_D_fake 0.011250
[1493/5000][5/535][154034] Loss_D: -0.020465 Loss_G: 0.013129 Loss_D_real: -0.011621 Loss_D_fake 0.008844
[1493/5000][10/535][154035] Loss_D: -0.020295 Loss_G: 0.010054 Loss_D_real: -0.027805 Loss_D_fake -0.007510
[1493/5000][15/535][154036] Loss_D: -0.019513 Loss_G: 0.010799 Loss_D_real: -0.027020 Loss_D_fake -0.007507
[1493/5000][20/535][154037] Loss_D: -0.017673 Loss_G: 0.012043 Loss_D_real: -0.025367 Loss_D_fake -0.007694
[1493/5000][25/535][154038] Loss_D: -0.019502 Loss_G: 0.008867 Loss_D_real: -0.016102 Loss_D_fake 0.003400
[1493/5000][30/535][154039] Loss_D: -0.019488 Loss_G: 0.013131 Loss_D_real: -0.021284 Loss_D_fake -0.001796
[1493/5000][35/535][154040] Loss_D: -0.020151 Loss_G: 0.014107 Loss_D_real: -0.019372 Loss_D_fake 0.000778
[1493/5000][40/535][154041] Loss_D: -0.020452 Loss_G: -0.001967 Loss_D_real: -0.012474 Loss_D_fake 0.007977
[1493/5000][45/535][154042] Loss_D: -0.020655 Loss_G: 0.009979 Loss_D_real: -0.026203 Loss_D_fake -0.005548
[1493/5000][50/535][154043] Loss_D: -0.020164 Loss_G: 0.005833 Loss_D_real: -0.015610 Loss_D_fake 0.004555
[1493/5000][55/535][154044] Loss_D: -0.019849 Loss_G: 0.006584 Loss_D_real: -0.011339 Loss_D_fake 0.008509
[1493/5000][60/535][154045] Loss_D: -0.020110 Loss_G: 0.022598 Loss_D_real: -0.031932 Loss_D_fake -0.011821
[1493/5000][65/535][154046] Loss_D: -0.019709 Loss_G: 0.026153 Loss_D_real: -0.030818 Loss_D_fake -0.011109
[1493/5000][70/535][154047] Loss_D: -0.019939 Loss_G: -0.003589 Loss_D_real: -0.014347 Loss_D_fake 0.005592
[1493/5000][75/535][154048] Loss_D: -0.020859 Loss_G: 0.003660 Loss_D_real: -0.015218 Loss_D_fake 0.005641
[1493/5000][80/535][154049] Loss_D: -0.019808 Loss_G: 0.000109 Loss_D_real: -0.018382 Loss_D_fake 0.001425
[1493/5000][85/535][154050] Loss_D: -0.019832 Loss_G: 0.007675 Loss_D_real: -0.028066 Loss_D_fake -0.008234
[1493/5000][90/535][154051] Loss_D: -0.019713 Loss_G: -0.002369 Loss_D_real: -0.008109 Loss_D_fake 0.011604
[1493/5000][95/535][154052] Loss_D: -0.019359 Loss_G: 0.016883 Loss_D_real: -0.012861 Loss_D_fake 0.006498
[1493/5000][100/535][154053] Loss_D: -0.019381 Loss_G: 0.014672 Loss_D_real: -0.028010 Loss_D_fake -0.008629
[1493/5000][105/535][154054] Loss_D: -0.020286 Loss_G: 0.009154 Loss_D_real: -0.015693 Loss_D_fake 0.004593
[1493/5000][110/535][154055] Loss_D: -0.020902 Loss_G: 0.012786 Loss_D_real: -0.021831 Loss_D_fake -0.000928
[1493/5000][115/535][154056] Loss_D: -0.018695 Loss_G: 0.020700 Loss_D_real: -0.029523 Loss_D_fake -0.010828
[1493/5000][120/535][154057] Loss_D: -0.021306 Loss_G: 0.015514 Loss_D_real: -0.029424 Loss_D_fake -0.008118
[1493/5000][125/535][154058] Loss_D: -0.020237 Loss_G: 0.011922 Loss_D_real: -0.019568 Loss_D_fake 0.000669
[1493/5000][130/535][154059] Loss_D: -0.019311 Loss_G: -0.014153 Loss_D_real: -0.010166 Loss_D_fake 0.009145
[1493/5000][135/535][154060] Loss_D: -0.019589 Loss_G: 0.016155 Loss_D_real: -0.011196 Loss_D_fake 0.008392
[1493/5000][140/535][154061] Loss_D: -0.020164 Loss_G: 0.024331 Loss_D_real: -0.025556 Loss_D_fake -0.005392
[1493/5000][145/535][154062] Loss_D: -0.020823 Loss_G: -0.002534 Loss_D_real: -0.019064 Loss_D_fake 0.001759
[1493/5000][150/535][154063] Loss_D: -0.018962 Loss_G: 0.028316 Loss_D_real: -0.027488 Loss_D_fake -0.008526
[1493/5000][155/535][154064] Loss_D: -0.020330 Loss_G: -0.001349 Loss_D_real: -0.018200 Loss_D_fake 0.002130
[1493/5000][160/535][154065] Loss_D: -0.020645 Loss_G: 0.020626 Loss_D_real: -0.017210 Loss_D_fake 0.003435
[1493/5000][165/535][154066] Loss_D: -0.019658 Loss_G: 0.019881 Loss_D_real: -0.023211 Loss_D_fake -0.003553
[1493/5000][170/535][154067] Loss_D: -0.021543 Loss_G: -0.009835 Loss_D_real: -0.006372 Loss_D_fake 0.015171
[1493/5000][175/535][154068] Loss_D: -0.019865 Loss_G: 0.023658 Loss_D_real: -0.019801 Loss_D_fake 0.000064
[1493/5000][180/535][154069] Loss_D: -0.020162 Loss_G: -0.011489 Loss_D_real: -0.008744 Loss_D_fake 0.011418
[1493/5000][185/535][154070] Loss_D: -0.018919 Loss_G: 0.020823 Loss_D_real: -0.023936 Loss_D_fake -0.005017
[1493/5000][190/535][154071] Loss_D: -0.020611 Loss_G: 0.020491 Loss_D_real: -0.013702 Loss_D_fake 0.006909
[1493/5000][195/535][154072] Loss_D: -0.019423 Loss_G: 0.014674 Loss_D_real: -0.023213 Loss_D_fake -0.003791
[1493/5000][200/535][154073] Loss_D: -0.018628 Loss_G: 0.011655 Loss_D_real: -0.021819 Loss_D_fake -0.003190
[1493/5000][205/535][154074] Loss_D: -0.020101 Loss_G: -0.000784 Loss_D_real: -0.016517 Loss_D_fake 0.003585
[1493/5000][210/535][154075] Loss_D: -0.019675 Loss_G: 0.007911 Loss_D_real: -0.023506 Loss_D_fake -0.003831
[1493/5000][215/535][154076] Loss_D: -0.020209 Loss_G: 0.014592 Loss_D_real: -0.026653 Loss_D_fake -0.006444
[1493/5000][220/535][154077] Loss_D: -0.018567 Loss_G: 0.027164 Loss_D_real: -0.030961 Loss_D_fake -0.012394
[1493/5000][225/535][154078] Loss_D: -0.018700 Loss_G: -0.012578 Loss_D_real: 0.004002 Loss_D_fake 0.022702
[1493/5000][230/535][154079] Loss_D: -0.019958 Loss_G: 0.019594 Loss_D_real: -0.020740 Loss_D_fake -0.000782
[1493/5000][235/535][154080] Loss_D: -0.019350 Loss_G: 0.004725 Loss_D_real: -0.011930 Loss_D_fake 0.007419
[1493/5000][240/535][154081] Loss_D: -0.017798 Loss_G: 0.015377 Loss_D_real: -0.024412 Loss_D_fake -0.006614
[1493/5000][245/535][154082] Loss_D: -0.020177 Loss_G: 0.002214 Loss_D_real: -0.021962 Loss_D_fake -0.001784
[1493/5000][250/535][154083] Loss_D: -0.018848 Loss_G: -0.007675 Loss_D_real: -0.002194 Loss_D_fake 0.016653
[1493/5000][255/535][154084] Loss_D: -0.019142 Loss_G: 0.003167 Loss_D_real: -0.019114 Loss_D_fake 0.000029
[1493/5000][260/535][154085] Loss_D: -0.019947 Loss_G: 0.008485 Loss_D_real: -0.010530 Loss_D_fake 0.009417
[1493/5000][265/535][154086] Loss_D: -0.019973 Loss_G: -0.001832 Loss_D_real: -0.013369 Loss_D_fake 0.006605
[1493/5000][270/535][154087] Loss_D: -0.019124 Loss_G: 0.009497 Loss_D_real: -0.011190 Loss_D_fake 0.007935
[1493/5000][275/535][154088] Loss_D: -0.019919 Loss_G: -0.003372 Loss_D_real: -0.006046 Loss_D_fake 0.013872
[1493/5000][280/535][154089] Loss_D: -0.019281 Loss_G: -0.008580 Loss_D_real: -0.000778 Loss_D_fake 0.018502
[1493/5000][285/535][154090] Loss_D: -0.019512 Loss_G: 0.010927 Loss_D_real: -0.009020 Loss_D_fake 0.010492
[1493/5000][290/535][154091] Loss_D: -0.019808 Loss_G: 0.005334 Loss_D_real: -0.020200 Loss_D_fake -0.000392
[1493/5000][295/535][154092] Loss_D: -0.017767 Loss_G: -0.016598 Loss_D_real: 0.000638 Loss_D_fake 0.018404
[1493/5000][300/535][154093] Loss_D: -0.018954 Loss_G: 0.003810 Loss_D_real: 0.002945 Loss_D_fake 0.021899
[1493/5000][305/535][154094] Loss_D: -0.019833 Loss_G: 0.009037 Loss_D_real: -0.003408 Loss_D_fake 0.016425
[1493/5000][310/535][154095] Loss_D: -0.020918 Loss_G: 0.007067 Loss_D_real: -0.009185 Loss_D_fake 0.011733
[1493/5000][315/535][154096] Loss_D: -0.020116 Loss_G: 0.008848 Loss_D_real: -0.021619 Loss_D_fake -0.001503
[1493/5000][320/535][154097] Loss_D: -0.019256 Loss_G: 0.011992 Loss_D_real: -0.033252 Loss_D_fake -0.013996
[1493/5000][325/535][154098] Loss_D: -0.020736 Loss_G: 0.002935 Loss_D_real: -0.011803 Loss_D_fake 0.008933
[1493/5000][330/535][154099] Loss_D: -0.020470 Loss_G: 0.009781 Loss_D_real: -0.017207 Loss_D_fake 0.003263
[1493/5000][335/535][154100] Loss_D: -0.020801 Loss_G: 0.006392 Loss_D_real: -0.020499 Loss_D_fake 0.000302
[1493/5000][340/535][154101] Loss_D: -0.020605 Loss_G: 0.028162 Loss_D_real: -0.033642 Loss_D_fake -0.013037
[1493/5000][345/535][154102] Loss_D: -0.020769 Loss_G: 0.015475 Loss_D_real: -0.007612 Loss_D_fake 0.013158
[1493/5000][350/535][154103] Loss_D: -0.018417 Loss_G: 0.025273 Loss_D_real: -0.031290 Loss_D_fake -0.012873
[1493/5000][355/535][154104] Loss_D: -0.018947 Loss_G: -0.014716 Loss_D_real: 0.005939 Loss_D_fake 0.024886
[1493/5000][360/535][154105] Loss_D: -0.019603 Loss_G: -0.000599 Loss_D_real: 0.002104 Loss_D_fake 0.021707
[1493/5000][365/535][154106] Loss_D: -0.018978 Loss_G: -0.004416 Loss_D_real: -0.005240 Loss_D_fake 0.013739
[1493/5000][370/535][154107] Loss_D: -0.020054 Loss_G: 0.000465 Loss_D_real: -0.004701 Loss_D_fake 0.015353
[1493/5000][375/535][154108] Loss_D: -0.019801 Loss_G: 0.017656 Loss_D_real: -0.013516 Loss_D_fake 0.006285
[1493/5000][380/535][154109] Loss_D: -0.020723 Loss_G: 0.016504 Loss_D_real: -0.021065 Loss_D_fake -0.000343
[1493/5000][385/535][154110] Loss_D: -0.020386 Loss_G: 0.013248 Loss_D_real: -0.025840 Loss_D_fake -0.005454
[1493/5000][390/535][154111] Loss_D: -0.020101 Loss_G: -0.008015 Loss_D_real: -0.007047 Loss_D_fake 0.013054
[1493/5000][395/535][154112] Loss_D: -0.020656 Loss_G: 0.010469 Loss_D_real: -0.015306 Loss_D_fake 0.005350
[1493/5000][400/535][154113] Loss_D: -0.019841 Loss_G: -0.005522 Loss_D_real: -0.015029 Loss_D_fake 0.004813
[1493/5000][405/535][154114] Loss_D: -0.020398 Loss_G: 0.005336 Loss_D_real: -0.005304 Loss_D_fake 0.015094
[1493/5000][410/535][154115] Loss_D: -0.019124 Loss_G: 0.020773 Loss_D_real: -0.024796 Loss_D_fake -0.005672
[1493/5000][415/535][154116] Loss_D: -0.020105 Loss_G: 0.007747 Loss_D_real: -0.018652 Loss_D_fake 0.001452
[1493/5000][420/535][154117] Loss_D: -0.021213 Loss_G: 0.007043 Loss_D_real: -0.010335 Loss_D_fake 0.010878
[1493/5000][425/535][154118] Loss_D: -0.020062 Loss_G: 0.007312 Loss_D_real: -0.021045 Loss_D_fake -0.000983
[1493/5000][430/535][154119] Loss_D: -0.019404 Loss_G: -0.011029 Loss_D_real: -0.004690 Loss_D_fake 0.014714
[1493/5000][435/535][154120] Loss_D: -0.019283 Loss_G: -0.004486 Loss_D_real: -0.029847 Loss_D_fake -0.010563
[1493/5000][440/535][154121] Loss_D: -0.020658 Loss_G: 0.020436 Loss_D_real: -0.016575 Loss_D_fake 0.004083
[1493/5000][445/535][154122] Loss_D: -0.020428 Loss_G: 0.001432 Loss_D_real: -0.013922 Loss_D_fake 0.006505
[1493/5000][450/535][154123] Loss_D: -0.019612 Loss_G: 0.002212 Loss_D_real: -0.010169 Loss_D_fake 0.009444
[1493/5000][455/535][154124] Loss_D: -0.019607 Loss_G: -0.009953 Loss_D_real: -0.002745 Loss_D_fake 0.016862
[1493/5000][460/535][154125] Loss_D: -0.018534 Loss_G: 0.016969 Loss_D_real: -0.023291 Loss_D_fake -0.004757
[1493/5000][465/535][154126] Loss_D: -0.020332 Loss_G: 0.027912 Loss_D_real: -0.023889 Loss_D_fake -0.003557
[1493/5000][470/535][154127] Loss_D: -0.017467 Loss_G: 0.019794 Loss_D_real: -0.028519 Loss_D_fake -0.011052
[1493/5000][475/535][154128] Loss_D: -0.020055 Loss_G: 0.002398 Loss_D_real: -0.026174 Loss_D_fake -0.006118
[1493/5000][480/535][154129] Loss_D: -0.018787 Loss_G: 0.026476 Loss_D_real: -0.022557 Loss_D_fake -0.003771
[1493/5000][485/535][154130] Loss_D: -0.018882 Loss_G: 0.003410 Loss_D_real: -0.017740 Loss_D_fake 0.001142
[1493/5000][490/535][154131] Loss_D: -0.019808 Loss_G: 0.009092 Loss_D_real: -0.014679 Loss_D_fake 0.005129
[1493/5000][495/535][154132] Loss_D: -0.019917 Loss_G: 0.008876 Loss_D_real: -0.022996 Loss_D_fake -0.003079
[1493/5000][500/535][154133] Loss_D: -0.018951 Loss_G: 0.016543 Loss_D_real: -0.022374 Loss_D_fake -0.003424
[1493/5000][505/535][154134] Loss_D: -0.017498 Loss_G: -0.013995 Loss_D_real: -0.000015 Loss_D_fake 0.017483
[1493/5000][510/535][154135] Loss_D: -0.018914 Loss_G: 0.007953 Loss_D_real: -0.021311 Loss_D_fake -0.002397
[1493/5000][515/535][154136] Loss_D: -0.018275 Loss_G: 0.020375 Loss_D_real: -0.029659 Loss_D_fake -0.011385
[1493/5000][520/535][154137] Loss_D: -0.019006 Loss_G: 0.019767 Loss_D_real: -0.037257 Loss_D_fake -0.018251
[1493/5000][525/535][154138] Loss_D: -0.020060 Loss_G: 0.012933 Loss_D_real: -0.034527 Loss_D_fake -0.014466
[1493/5000][530/535][154139] Loss_D: -0.021263 Loss_G: -0.001638 Loss_D_real: -0.011516 Loss_D_fake 0.009747
[1493/5000][535/535][154140] Loss_D: -0.019243 Loss_G: 0.020582 Loss_D_real: -0.012197 Loss_D_fake 0.007046
[1494/5000][5/535][154141] Loss_D: -0.020379 Loss_G: -0.011348 Loss_D_real: 0.002219 Loss_D_fake 0.022598
[1494/5000][10/535][154142] Loss_D: -0.020001 Loss_G: -0.007143 Loss_D_real: -0.015234 Loss_D_fake 0.004768
[1494/5000][15/535][154143] Loss_D: -0.019422 Loss_G: 0.011419 Loss_D_real: -0.023734 Loss_D_fake -0.004311
[1494/5000][20/535][154144] Loss_D: -0.020236 Loss_G: 0.011118 Loss_D_real: -0.032039 Loss_D_fake -0.011804
[1494/5000][25/535][154145] Loss_D: -0.019875 Loss_G: -0.007923 Loss_D_real: -0.004440 Loss_D_fake 0.015435
[1494/5000][30/535][154146] Loss_D: -0.021465 Loss_G: 0.008116 Loss_D_real: -0.018191 Loss_D_fake 0.003274
[1494/5000][35/535][154147] Loss_D: -0.021159 Loss_G: 0.003618 Loss_D_real: -0.012753 Loss_D_fake 0.008406
[1494/5000][40/535][154148] Loss_D: -0.020219 Loss_G: 0.021731 Loss_D_real: -0.020905 Loss_D_fake -0.000686
[1494/5000][45/535][154149] Loss_D: -0.020292 Loss_G: -0.011914 Loss_D_real: -0.010161 Loss_D_fake 0.010132
[1494/5000][50/535][154150] Loss_D: -0.019211 Loss_G: -0.005200 Loss_D_real: -0.008913 Loss_D_fake 0.010298
[1494/5000][55/535][154151] Loss_D: -0.020570 Loss_G: 0.015467 Loss_D_real: -0.025738 Loss_D_fake -0.005168
[1494/5000][60/535][154152] Loss_D: -0.019196 Loss_G: 0.002491 Loss_D_real: -0.014863 Loss_D_fake 0.004333
[1494/5000][65/535][154153] Loss_D: -0.018650 Loss_G: 0.027373 Loss_D_real: -0.025530 Loss_D_fake -0.006880
[1494/5000][70/535][154154] Loss_D: -0.019781 Loss_G: 0.005904 Loss_D_real: -0.014813 Loss_D_fake 0.004968
[1494/5000][75/535][154155] Loss_D: -0.019959 Loss_G: 0.021746 Loss_D_real: -0.023168 Loss_D_fake -0.003209
[1494/5000][80/535][154156] Loss_D: -0.019326 Loss_G: 0.007424 Loss_D_real: -0.022163 Loss_D_fake -0.002837
[1494/5000][85/535][154157] Loss_D: -0.019176 Loss_G: -0.009693 Loss_D_real: 0.004674 Loss_D_fake 0.023850
[1494/5000][90/535][154158] Loss_D: -0.019905 Loss_G: 0.016552 Loss_D_real: -0.013775 Loss_D_fake 0.006131
[1494/5000][95/535][154159] Loss_D: -0.019578 Loss_G: 0.001011 Loss_D_real: -0.014470 Loss_D_fake 0.005108
[1494/5000][100/535][154160] Loss_D: -0.020409 Loss_G: -0.000794 Loss_D_real: -0.015836 Loss_D_fake 0.004573
[1494/5000][105/535][154161] Loss_D: -0.019376 Loss_G: 0.009919 Loss_D_real: -0.020064 Loss_D_fake -0.000688
[1494/5000][110/535][154162] Loss_D: -0.019455 Loss_G: 0.018014 Loss_D_real: -0.019634 Loss_D_fake -0.000180
[1494/5000][115/535][154163] Loss_D: -0.019555 Loss_G: 0.009810 Loss_D_real: -0.021654 Loss_D_fake -0.002099
[1494/5000][120/535][154164] Loss_D: -0.020124 Loss_G: 0.008944 Loss_D_real: -0.016413 Loss_D_fake 0.003711
[1494/5000][125/535][154165] Loss_D: -0.020361 Loss_G: -0.002107 Loss_D_real: -0.008633 Loss_D_fake 0.011729
[1494/5000][130/535][154166] Loss_D: -0.021521 Loss_G: 0.016708 Loss_D_real: -0.020651 Loss_D_fake 0.000870
[1494/5000][135/535][154167] Loss_D: -0.020842 Loss_G: 0.015225 Loss_D_real: -0.023797 Loss_D_fake -0.002956
[1494/5000][140/535][154168] Loss_D: -0.019179 Loss_G: 0.022304 Loss_D_real: -0.036248 Loss_D_fake -0.017069
[1494/5000][145/535][154169] Loss_D: -0.019558 Loss_G: -0.002097 Loss_D_real: -0.009849 Loss_D_fake 0.009709
[1494/5000][150/535][154170] Loss_D: -0.021103 Loss_G: 0.012148 Loss_D_real: -0.012872 Loss_D_fake 0.008230
[1494/5000][155/535][154171] Loss_D: -0.019310 Loss_G: 0.014485 Loss_D_real: -0.033394 Loss_D_fake -0.014083
[1494/5000][160/535][154172] Loss_D: -0.017177 Loss_G: 0.019579 Loss_D_real: -0.038888 Loss_D_fake -0.021710
[1494/5000][165/535][154173] Loss_D: -0.019309 Loss_G: 0.009485 Loss_D_real: -0.011872 Loss_D_fake 0.007437
[1494/5000][170/535][154174] Loss_D: -0.020190 Loss_G: 0.021642 Loss_D_real: -0.018501 Loss_D_fake 0.001689
[1494/5000][175/535][154175] Loss_D: -0.019501 Loss_G: 0.011784 Loss_D_real: -0.008969 Loss_D_fake 0.010531
[1494/5000][180/535][154176] Loss_D: -0.019845 Loss_G: 0.005467 Loss_D_real: -0.002179 Loss_D_fake 0.017666
[1494/5000][185/535][154177] Loss_D: -0.018747 Loss_G: 0.010653 Loss_D_real: -0.019886 Loss_D_fake -0.001139
[1494/5000][190/535][154178] Loss_D: -0.019903 Loss_G: 0.011572 Loss_D_real: -0.020467 Loss_D_fake -0.000565
[1494/5000][195/535][154179] Loss_D: -0.019881 Loss_G: 0.005699 Loss_D_real: -0.022005 Loss_D_fake -0.002124
[1494/5000][200/535][154180] Loss_D: -0.018931 Loss_G: -0.007774 Loss_D_real: -0.005456 Loss_D_fake 0.013474
[1494/5000][205/535][154181] Loss_D: -0.019914 Loss_G: 0.007450 Loss_D_real: -0.024407 Loss_D_fake -0.004493
[1494/5000][210/535][154182] Loss_D: -0.018981 Loss_G: 0.016743 Loss_D_real: -0.024202 Loss_D_fake -0.005221
[1494/5000][215/535][154183] Loss_D: -0.020503 Loss_G: 0.011390 Loss_D_real: -0.034943 Loss_D_fake -0.014440
[1494/5000][220/535][154184] Loss_D: -0.019837 Loss_G: 0.008297 Loss_D_real: -0.012033 Loss_D_fake 0.007804
[1494/5000][225/535][154185] Loss_D: -0.019502 Loss_G: 0.020271 Loss_D_real: -0.034091 Loss_D_fake -0.014589
[1494/5000][230/535][154186] Loss_D: -0.020275 Loss_G: 0.002617 Loss_D_real: -0.003604 Loss_D_fake 0.016671
[1494/5000][235/535][154187] Loss_D: -0.020305 Loss_G: 0.011400 Loss_D_real: -0.018432 Loss_D_fake 0.001873
[1494/5000][240/535][154188] Loss_D: -0.020379 Loss_G: -0.004357 Loss_D_real: 0.001839 Loss_D_fake 0.022219
[1494/5000][245/535][154189] Loss_D: -0.019281 Loss_G: 0.009104 Loss_D_real: -0.014829 Loss_D_fake 0.004452
[1494/5000][250/535][154190] Loss_D: -0.020217 Loss_G: -0.004525 Loss_D_real: -0.013265 Loss_D_fake 0.006953
[1494/5000][255/535][154191] Loss_D: -0.019968 Loss_G: 0.002026 Loss_D_real: -0.009891 Loss_D_fake 0.010077
[1494/5000][260/535][154192] Loss_D: -0.019874 Loss_G: 0.005067 Loss_D_real: -0.015830 Loss_D_fake 0.004045
[1494/5000][265/535][154193] Loss_D: -0.020292 Loss_G: 0.011789 Loss_D_real: -0.014279 Loss_D_fake 0.006014
[1494/5000][270/535][154194] Loss_D: -0.019523 Loss_G: 0.007186 Loss_D_real: -0.026861 Loss_D_fake -0.007338
[1494/5000][275/535][154195] Loss_D: -0.020018 Loss_G: 0.009854 Loss_D_real: -0.010955 Loss_D_fake 0.009063
[1494/5000][280/535][154196] Loss_D: -0.018708 Loss_G: 0.017895 Loss_D_real: -0.021737 Loss_D_fake -0.003028
[1494/5000][285/535][154197] Loss_D: -0.019688 Loss_G: 0.010902 Loss_D_real: -0.012087 Loss_D_fake 0.007601
[1494/5000][290/535][154198] Loss_D: -0.020668 Loss_G: 0.023079 Loss_D_real: -0.022413 Loss_D_fake -0.001745
[1494/5000][295/535][154199] Loss_D: -0.019832 Loss_G: 0.002101 Loss_D_real: -0.000703 Loss_D_fake 0.019129
[1494/5000][300/535][154200] Loss_D: -0.018707 Loss_G: 0.013847 Loss_D_real: -0.024606 Loss_D_fake -0.005899
[1494/5000][305/535][154201] Loss_D: -0.019158 Loss_G: -0.008623 Loss_D_real: -0.004998 Loss_D_fake 0.014160
[1494/5000][310/535][154202] Loss_D: -0.019128 Loss_G: 0.007882 Loss_D_real: -0.024647 Loss_D_fake -0.005519
[1494/5000][315/535][154203] Loss_D: -0.020126 Loss_G: 0.012628 Loss_D_real: -0.031263 Loss_D_fake -0.011136
[1494/5000][320/535][154204] Loss_D: -0.019500 Loss_G: 0.013178 Loss_D_real: -0.016515 Loss_D_fake 0.002985
[1494/5000][325/535][154205] Loss_D: -0.020169 Loss_G: 0.009945 Loss_D_real: -0.016932 Loss_D_fake 0.003237
[1494/5000][330/535][154206] Loss_D: -0.020022 Loss_G: 0.002743 Loss_D_real: -0.008505 Loss_D_fake 0.011517
[1494/5000][335/535][154207] Loss_D: -0.020566 Loss_G: 0.020570 Loss_D_real: -0.028420 Loss_D_fake -0.007854
[1494/5000][340/535][154208] Loss_D: -0.019358 Loss_G: 0.014833 Loss_D_real: -0.030225 Loss_D_fake -0.010867
[1494/5000][345/535][154209] Loss_D: -0.020120 Loss_G: 0.006514 Loss_D_real: -0.010789 Loss_D_fake 0.009331
[1494/5000][350/535][154210] Loss_D: -0.020211 Loss_G: 0.011137 Loss_D_real: -0.022959 Loss_D_fake -0.002748
[1494/5000][355/535][154211] Loss_D: -0.020900 Loss_G: 0.000182 Loss_D_real: -0.005937 Loss_D_fake 0.014962
[1494/5000][360/535][154212] Loss_D: -0.020210 Loss_G: -0.010439 Loss_D_real: -0.007063 Loss_D_fake 0.013147
[1494/5000][365/535][154213] Loss_D: -0.019778 Loss_G: 0.002603 Loss_D_real: -0.017921 Loss_D_fake 0.001857
[1494/5000][370/535][154214] Loss_D: -0.020513 Loss_G: 0.002889 Loss_D_real: -0.006736 Loss_D_fake 0.013777
[1494/5000][375/535][154215] Loss_D: -0.020620 Loss_G: 0.007649 Loss_D_real: -0.013748 Loss_D_fake 0.006872
[1494/5000][380/535][154216] Loss_D: -0.019542 Loss_G: 0.024297 Loss_D_real: -0.024303 Loss_D_fake -0.004761
[1494/5000][385/535][154217] Loss_D: -0.020404 Loss_G: 0.012742 Loss_D_real: -0.009739 Loss_D_fake 0.010666
[1494/5000][390/535][154218] Loss_D: -0.021010 Loss_G: 0.011276 Loss_D_real: -0.019007 Loss_D_fake 0.002002
[1494/5000][395/535][154219] Loss_D: -0.020545 Loss_G: 0.004041 Loss_D_real: -0.017631 Loss_D_fake 0.002915
[1494/5000][400/535][154220] Loss_D: -0.020731 Loss_G: -0.004239 Loss_D_real: -0.014412 Loss_D_fake 0.006319
[1494/5000][405/535][154221] Loss_D: -0.019251 Loss_G: 0.020504 Loss_D_real: -0.028192 Loss_D_fake -0.008941
[1494/5000][410/535][154222] Loss_D: -0.018513 Loss_G: 0.018390 Loss_D_real: -0.028851 Loss_D_fake -0.010338
[1494/5000][415/535][154223] Loss_D: -0.020001 Loss_G: -0.010316 Loss_D_real: -0.008698 Loss_D_fake 0.011303
[1494/5000][420/535][154224] Loss_D: -0.019181 Loss_G: 0.014209 Loss_D_real: -0.019686 Loss_D_fake -0.000505
[1494/5000][425/535][154225] Loss_D: -0.019453 Loss_G: 0.014185 Loss_D_real: -0.010727 Loss_D_fake 0.008726
[1494/5000][430/535][154226] Loss_D: -0.019973 Loss_G: 0.024903 Loss_D_real: -0.014126 Loss_D_fake 0.005847
[1494/5000][435/535][154227] Loss_D: -0.018496 Loss_G: 0.017964 Loss_D_real: -0.018392 Loss_D_fake 0.000104
[1494/5000][440/535][154228] Loss_D: -0.020485 Loss_G: -0.004785 Loss_D_real: -0.017838 Loss_D_fake 0.002647
[1494/5000][445/535][154229] Loss_D: -0.018940 Loss_G: 0.019326 Loss_D_real: -0.016141 Loss_D_fake 0.002799
[1494/5000][450/535][154230] Loss_D: -0.019525 Loss_G: 0.010585 Loss_D_real: -0.012762 Loss_D_fake 0.006764
[1494/5000][455/535][154231] Loss_D: -0.019229 Loss_G: 0.009615 Loss_D_real: -0.019389 Loss_D_fake -0.000160
[1494/5000][460/535][154232] Loss_D: -0.016949 Loss_G: 0.020829 Loss_D_real: -0.044054 Loss_D_fake -0.027104
[1494/5000][465/535][154233] Loss_D: -0.018153 Loss_G: -0.003934 Loss_D_real: -0.016628 Loss_D_fake 0.001525
[1494/5000][470/535][154234] Loss_D: -0.018837 Loss_G: -0.008583 Loss_D_real: -0.008701 Loss_D_fake 0.010136
[1494/5000][475/535][154235] Loss_D: -0.019259 Loss_G: 0.021898 Loss_D_real: -0.035333 Loss_D_fake -0.016073
[1494/5000][480/535][154236] Loss_D: -0.019753 Loss_G: -0.007298 Loss_D_real: -0.013044 Loss_D_fake 0.006709
[1494/5000][485/535][154237] Loss_D: -0.019791 Loss_G: 0.001634 Loss_D_real: -0.009626 Loss_D_fake 0.010166
[1494/5000][490/535][154238] Loss_D: -0.018036 Loss_G: 0.013394 Loss_D_real: -0.022872 Loss_D_fake -0.004836
[1494/5000][495/535][154239] Loss_D: -0.019820 Loss_G: 0.003602 Loss_D_real: 0.000665 Loss_D_fake 0.020484
[1494/5000][500/535][154240] Loss_D: -0.019278 Loss_G: 0.019206 Loss_D_real: -0.023162 Loss_D_fake -0.003883
[1494/5000][505/535][154241] Loss_D: -0.020139 Loss_G: 0.001946 Loss_D_real: -0.008892 Loss_D_fake 0.011247
[1494/5000][510/535][154242] Loss_D: -0.019030 Loss_G: 0.002508 Loss_D_real: -0.019461 Loss_D_fake -0.000431
[1494/5000][515/535][154243] Loss_D: -0.019813 Loss_G: 0.006048 Loss_D_real: -0.013499 Loss_D_fake 0.006315
[1494/5000][520/535][154244] Loss_D: -0.018767 Loss_G: -0.003333 Loss_D_real: -0.004273 Loss_D_fake 0.014494
[1494/5000][525/535][154245] Loss_D: -0.019983 Loss_G: 0.011359 Loss_D_real: -0.008323 Loss_D_fake 0.011660
[1494/5000][530/535][154246] Loss_D: -0.020182 Loss_G: 0.000266 Loss_D_real: -0.014953 Loss_D_fake 0.005229
[1494/5000][535/535][154247] Loss_D: -0.019031 Loss_G: 0.043793 Loss_D_real: -0.030859 Loss_D_fake -0.011829
[1495/5000][5/535][154248] Loss_D: -0.019512 Loss_G: -0.007580 Loss_D_real: -0.007355 Loss_D_fake 0.012157
[1495/5000][10/535][154249] Loss_D: -0.019428 Loss_G: 0.015255 Loss_D_real: -0.027443 Loss_D_fake -0.008015
[1495/5000][15/535][154250] Loss_D: -0.020111 Loss_G: 0.009295 Loss_D_real: -0.037875 Loss_D_fake -0.017764
[1495/5000][20/535][154251] Loss_D: -0.021328 Loss_G: -0.005266 Loss_D_real: -0.002025 Loss_D_fake 0.019303
[1495/5000][25/535][154252] Loss_D: -0.019456 Loss_G: 0.005218 Loss_D_real: -0.016974 Loss_D_fake 0.002482
[1495/5000][30/535][154253] Loss_D: -0.018927 Loss_G: 0.000018 Loss_D_real: -0.024637 Loss_D_fake -0.005710
[1495/5000][35/535][154254] Loss_D: -0.021040 Loss_G: 0.009348 Loss_D_real: -0.024384 Loss_D_fake -0.003343
[1495/5000][40/535][154255] Loss_D: -0.020219 Loss_G: 0.015330 Loss_D_real: -0.021947 Loss_D_fake -0.001728
[1495/5000][45/535][154256] Loss_D: -0.019484 Loss_G: -0.001861 Loss_D_real: -0.016391 Loss_D_fake 0.003092
[1495/5000][50/535][154257] Loss_D: -0.019551 Loss_G: -0.004618 Loss_D_real: -0.018340 Loss_D_fake 0.001210
[1495/5000][55/535][154258] Loss_D: -0.019832 Loss_G: -0.010582 Loss_D_real: -0.010640 Loss_D_fake 0.009192
[1495/5000][60/535][154259] Loss_D: -0.019505 Loss_G: 0.019581 Loss_D_real: -0.028335 Loss_D_fake -0.008831
[1495/5000][65/535][154260] Loss_D: -0.019795 Loss_G: 0.017873 Loss_D_real: -0.018212 Loss_D_fake 0.001583
[1495/5000][70/535][154261] Loss_D: -0.021691 Loss_G: 0.007678 Loss_D_real: -0.025474 Loss_D_fake -0.003783
[1495/5000][75/535][154262] Loss_D: -0.020261 Loss_G: 0.011351 Loss_D_real: -0.021070 Loss_D_fake -0.000808
[1495/5000][80/535][154263] Loss_D: -0.018826 Loss_G: 0.009944 Loss_D_real: -0.024895 Loss_D_fake -0.006069
[1495/5000][85/535][154264] Loss_D: -0.020343 Loss_G: 0.012990 Loss_D_real: -0.022838 Loss_D_fake -0.002495
[1495/5000][90/535][154265] Loss_D: -0.020802 Loss_G: 0.002837 Loss_D_real: -0.029556 Loss_D_fake -0.008754
[1495/5000][95/535][154266] Loss_D: -0.019482 Loss_G: 0.015107 Loss_D_real: -0.022260 Loss_D_fake -0.002778
[1495/5000][100/535][154267] Loss_D: -0.020135 Loss_G: 0.008517 Loss_D_real: -0.020526 Loss_D_fake -0.000391
[1495/5000][105/535][154268] Loss_D: -0.019406 Loss_G: 0.011467 Loss_D_real: -0.023390 Loss_D_fake -0.003984
[1495/5000][110/535][154269] Loss_D: -0.019376 Loss_G: 0.008249 Loss_D_real: -0.014383 Loss_D_fake 0.004993
[1495/5000][115/535][154270] Loss_D: -0.018407 Loss_G: -0.005169 Loss_D_real: -0.013486 Loss_D_fake 0.004921
[1495/5000][120/535][154271] Loss_D: -0.018776 Loss_G: 0.000169 Loss_D_real: -0.014506 Loss_D_fake 0.004270
[1495/5000][125/535][154272] Loss_D: -0.019072 Loss_G: 0.031336 Loss_D_real: -0.015460 Loss_D_fake 0.003612
[1495/5000][130/535][154273] Loss_D: -0.020220 Loss_G: 0.000416 Loss_D_real: -0.015948 Loss_D_fake 0.004272
[1495/5000][135/535][154274] Loss_D: -0.020571 Loss_G: 0.014822 Loss_D_real: -0.024648 Loss_D_fake -0.004077
[1495/5000][140/535][154275] Loss_D: -0.019083 Loss_G: 0.001434 Loss_D_real: -0.007045 Loss_D_fake 0.012038
[1495/5000][145/535][154276] Loss_D: -0.020493 Loss_G: -0.006834 Loss_D_real: -0.007634 Loss_D_fake 0.012860
[1495/5000][150/535][154277] Loss_D: -0.019431 Loss_G: 0.019276 Loss_D_real: -0.022360 Loss_D_fake -0.002929
[1495/5000][155/535][154278] Loss_D: -0.020774 Loss_G: 0.003055 Loss_D_real: -0.021244 Loss_D_fake -0.000470
[1495/5000][160/535][154279] Loss_D: -0.019890 Loss_G: 0.009994 Loss_D_real: -0.026808 Loss_D_fake -0.006919
[1495/5000][165/535][154280] Loss_D: -0.020446 Loss_G: -0.000390 Loss_D_real: -0.006571 Loss_D_fake 0.013875
[1495/5000][170/535][154281] Loss_D: -0.019424 Loss_G: 0.006473 Loss_D_real: -0.020985 Loss_D_fake -0.001561
[1495/5000][175/535][154282] Loss_D: -0.019939 Loss_G: 0.007099 Loss_D_real: -0.009145 Loss_D_fake 0.010794
[1495/5000][180/535][154283] Loss_D: -0.021920 Loss_G: 0.008402 Loss_D_real: -0.008038 Loss_D_fake 0.013882
[1495/5000][185/535][154284] Loss_D: -0.018789 Loss_G: 0.034464 Loss_D_real: -0.032406 Loss_D_fake -0.013617
[1495/5000][190/535][154285] Loss_D: -0.019816 Loss_G: 0.016231 Loss_D_real: -0.013316 Loss_D_fake 0.006501
[1495/5000][195/535][154286] Loss_D: -0.020454 Loss_G: 0.000687 Loss_D_real: -0.010723 Loss_D_fake 0.009731
[1495/5000][200/535][154287] Loss_D: -0.019139 Loss_G: 0.004426 Loss_D_real: -0.013962 Loss_D_fake 0.005176
[1495/5000][205/535][154288] Loss_D: -0.020396 Loss_G: -0.001652 Loss_D_real: 0.001078 Loss_D_fake 0.021474
[1495/5000][210/535][154289] Loss_D: -0.018540 Loss_G: 0.018290 Loss_D_real: -0.029420 Loss_D_fake -0.010880
[1495/5000][215/535][154290] Loss_D: -0.020422 Loss_G: 0.013537 Loss_D_real: -0.020981 Loss_D_fake -0.000559
[1495/5000][220/535][154291] Loss_D: -0.019345 Loss_G: 0.015644 Loss_D_real: -0.021469 Loss_D_fake -0.002124
[1495/5000][225/535][154292] Loss_D: -0.019506 Loss_G: -0.023844 Loss_D_real: -0.008011 Loss_D_fake 0.011495
[1495/5000][230/535][154293] Loss_D: -0.020074 Loss_G: 0.014602 Loss_D_real: -0.023827 Loss_D_fake -0.003753
[1495/5000][235/535][154294] Loss_D: -0.018588 Loss_G: 0.012038 Loss_D_real: -0.006507 Loss_D_fake 0.012081
[1495/5000][240/535][154295] Loss_D: -0.018653 Loss_G: 0.009514 Loss_D_real: -0.017020 Loss_D_fake 0.001634
[1495/5000][245/535][154296] Loss_D: -0.019776 Loss_G: -0.003040 Loss_D_real: -0.008682 Loss_D_fake 0.011095
[1495/5000][250/535][154297] Loss_D: -0.020372 Loss_G: 0.023058 Loss_D_real: -0.023985 Loss_D_fake -0.003614
[1495/5000][255/535][154298] Loss_D: -0.020073 Loss_G: 0.013572 Loss_D_real: -0.019295 Loss_D_fake 0.000778
[1495/5000][260/535][154299] Loss_D: -0.019700 Loss_G: -0.006629 Loss_D_real: -0.000913 Loss_D_fake 0.018787
[1495/5000][265/535][154300] Loss_D: -0.018899 Loss_G: 0.011811 Loss_D_real: -0.018409 Loss_D_fake 0.000490
[1495/5000][270/535][154301] Loss_D: -0.020048 Loss_G: -0.021258 Loss_D_real: -0.005141 Loss_D_fake 0.014907
[1495/5000][275/535][154302] Loss_D: -0.020252 Loss_G: -0.000406 Loss_D_real: -0.001700 Loss_D_fake 0.018552
[1495/5000][280/535][154303] Loss_D: -0.019500 Loss_G: 0.031812 Loss_D_real: -0.012253 Loss_D_fake 0.007247
[1495/5000][285/535][154304] Loss_D: -0.019320 Loss_G: 0.008744 Loss_D_real: -0.013935 Loss_D_fake 0.005386
[1495/5000][290/535][154305] Loss_D: -0.019382 Loss_G: 0.021078 Loss_D_real: -0.022010 Loss_D_fake -0.002628
[1495/5000][295/535][154306] Loss_D: -0.019425 Loss_G: 0.012992 Loss_D_real: -0.008066 Loss_D_fake 0.011359
[1495/5000][300/535][154307] Loss_D: -0.022084 Loss_G: 0.001460 Loss_D_real: -0.022340 Loss_D_fake -0.000256
[1495/5000][305/535][154308] Loss_D: -0.020589 Loss_G: 0.003138 Loss_D_real: -0.001530 Loss_D_fake 0.019060
[1495/5000][310/535][154309] Loss_D: -0.018182 Loss_G: 0.017414 Loss_D_real: -0.015907 Loss_D_fake 0.002274
[1495/5000][315/535][154310] Loss_D: -0.019151 Loss_G: 0.003560 Loss_D_real: 0.003864 Loss_D_fake 0.023015
[1495/5000][320/535][154311] Loss_D: -0.019061 Loss_G: 0.020176 Loss_D_real: -0.025189 Loss_D_fake -0.006128
[1495/5000][325/535][154312] Loss_D: -0.019450 Loss_G: 0.025774 Loss_D_real: -0.024693 Loss_D_fake -0.005244
[1495/5000][330/535][154313] Loss_D: -0.018449 Loss_G: 0.024395 Loss_D_real: -0.034471 Loss_D_fake -0.016022
[1495/5000][335/535][154314] Loss_D: -0.018943 Loss_G: 0.008889 Loss_D_real: -0.032367 Loss_D_fake -0.013424
[1495/5000][340/535][154315] Loss_D: -0.018871 Loss_G: 0.025644 Loss_D_real: -0.017240 Loss_D_fake 0.001631
[1495/5000][345/535][154316] Loss_D: -0.019218 Loss_G: -0.007088 Loss_D_real: -0.011330 Loss_D_fake 0.007888
[1495/5000][350/535][154317] Loss_D: -0.019841 Loss_G: -0.003497 Loss_D_real: -0.022526 Loss_D_fake -0.002684
[1495/5000][355/535][154318] Loss_D: -0.020087 Loss_G: 0.024908 Loss_D_real: -0.005891 Loss_D_fake 0.014196
[1495/5000][360/535][154319] Loss_D: -0.018475 Loss_G: 0.011879 Loss_D_real: -0.014122 Loss_D_fake 0.004352
[1495/5000][365/535][154320] Loss_D: -0.018843 Loss_G: 0.013598 Loss_D_real: -0.021388 Loss_D_fake -0.002544
[1495/5000][370/535][154321] Loss_D: -0.019466 Loss_G: 0.002746 Loss_D_real: -0.020358 Loss_D_fake -0.000891
[1495/5000][375/535][154322] Loss_D: -0.021116 Loss_G: 0.005787 Loss_D_real: -0.022957 Loss_D_fake -0.001841
[1495/5000][380/535][154323] Loss_D: -0.019898 Loss_G: 0.007813 Loss_D_real: -0.018984 Loss_D_fake 0.000913
[1495/5000][385/535][154324] Loss_D: -0.020186 Loss_G: 0.011500 Loss_D_real: -0.028241 Loss_D_fake -0.008055
[1495/5000][390/535][154325] Loss_D: -0.019625 Loss_G: -0.001139 Loss_D_real: -0.010598 Loss_D_fake 0.009026
[1495/5000][395/535][154326] Loss_D: -0.018397 Loss_G: 0.020608 Loss_D_real: -0.028920 Loss_D_fake -0.010523
[1495/5000][400/535][154327] Loss_D: -0.019427 Loss_G: -0.007877 Loss_D_real: -0.013300 Loss_D_fake 0.006127
[1495/5000][405/535][154328] Loss_D: -0.018865 Loss_G: 0.004203 Loss_D_real: -0.014490 Loss_D_fake 0.004375
[1495/5000][410/535][154329] Loss_D: -0.019385 Loss_G: 0.012399 Loss_D_real: -0.018560 Loss_D_fake 0.000825
[1495/5000][415/535][154330] Loss_D: -0.019145 Loss_G: 0.029807 Loss_D_real: -0.024594 Loss_D_fake -0.005448
[1495/5000][420/535][154331] Loss_D: -0.018584 Loss_G: -0.012219 Loss_D_real: 0.001941 Loss_D_fake 0.020525
[1495/5000][425/535][154332] Loss_D: -0.020958 Loss_G: 0.008576 Loss_D_real: -0.014657 Loss_D_fake 0.006301
[1495/5000][430/535][154333] Loss_D: -0.020049 Loss_G: 0.013028 Loss_D_real: -0.021574 Loss_D_fake -0.001525
[1495/5000][435/535][154334] Loss_D: -0.019644 Loss_G: 0.011495 Loss_D_real: -0.016988 Loss_D_fake 0.002656
[1495/5000][440/535][154335] Loss_D: -0.019425 Loss_G: 0.013544 Loss_D_real: -0.021473 Loss_D_fake -0.002047
[1495/5000][445/535][154336] Loss_D: -0.019489 Loss_G: 0.003412 Loss_D_real: -0.010658 Loss_D_fake 0.008831
[1495/5000][450/535][154337] Loss_D: -0.020229 Loss_G: 0.002647 Loss_D_real: -0.016364 Loss_D_fake 0.003865
[1495/5000][455/535][154338] Loss_D: -0.020107 Loss_G: 0.012699 Loss_D_real: -0.014744 Loss_D_fake 0.005363
[1495/5000][460/535][154339] Loss_D: -0.019729 Loss_G: -0.008061 Loss_D_real: -0.005396 Loss_D_fake 0.014333
[1495/5000][465/535][154340] Loss_D: -0.020040 Loss_G: 0.019602 Loss_D_real: -0.037513 Loss_D_fake -0.017474
[1495/5000][470/535][154341] Loss_D: -0.020180 Loss_G: 0.011594 Loss_D_real: -0.014587 Loss_D_fake 0.005593
[1495/5000][475/535][154342] Loss_D: -0.021168 Loss_G: 0.008969 Loss_D_real: -0.013921 Loss_D_fake 0.007246
[1495/5000][480/535][154343] Loss_D: -0.019345 Loss_G: 0.011544 Loss_D_real: -0.015165 Loss_D_fake 0.004180
[1495/5000][485/535][154344] Loss_D: -0.020134 Loss_G: 0.000960 Loss_D_real: -0.014230 Loss_D_fake 0.005904
[1495/5000][490/535][154345] Loss_D: -0.018306 Loss_G: 0.023085 Loss_D_real: -0.025006 Loss_D_fake -0.006700
[1495/5000][495/535][154346] Loss_D: -0.020767 Loss_G: 0.009466 Loss_D_real: -0.026412 Loss_D_fake -0.005645
[1495/5000][500/535][154347] Loss_D: -0.020403 Loss_G: -0.010198 Loss_D_real: -0.008118 Loss_D_fake 0.012285
[1495/5000][505/535][154348] Loss_D: -0.020380 Loss_G: 0.013836 Loss_D_real: -0.017076 Loss_D_fake 0.003303
[1495/5000][510/535][154349] Loss_D: -0.018472 Loss_G: 0.023762 Loss_D_real: -0.022359 Loss_D_fake -0.003887
[1495/5000][515/535][154350] Loss_D: -0.020434 Loss_G: 0.000192 Loss_D_real: -0.001626 Loss_D_fake 0.018808
[1495/5000][520/535][154351] Loss_D: -0.020672 Loss_G: -0.007246 Loss_D_real: -0.012595 Loss_D_fake 0.008077
[1495/5000][525/535][154352] Loss_D: -0.020314 Loss_G: 0.015734 Loss_D_real: -0.024727 Loss_D_fake -0.004412
[1495/5000][530/535][154353] Loss_D: -0.020564 Loss_G: 0.004726 Loss_D_real: -0.011183 Loss_D_fake 0.009381
[1495/5000][535/535][154354] Loss_D: -0.019921 Loss_G: 0.025771 Loss_D_real: -0.016386 Loss_D_fake 0.003534
[1496/5000][5/535][154355] Loss_D: -0.017092 Loss_G: 0.024336 Loss_D_real: -0.030056 Loss_D_fake -0.012964
[1496/5000][10/535][154356] Loss_D: -0.018710 Loss_G: -0.000211 Loss_D_real: -0.018200 Loss_D_fake 0.000509
[1496/5000][15/535][154357] Loss_D: -0.019561 Loss_G: -0.004646 Loss_D_real: -0.001858 Loss_D_fake 0.017703
[1496/5000][20/535][154358] Loss_D: -0.020000 Loss_G: -0.009811 Loss_D_real: -0.008872 Loss_D_fake 0.011128
[1496/5000][25/535][154359] Loss_D: -0.019640 Loss_G: 0.005641 Loss_D_real: -0.010447 Loss_D_fake 0.009193
[1496/5000][30/535][154360] Loss_D: -0.019745 Loss_G: 0.002290 Loss_D_real: -0.013990 Loss_D_fake 0.005754
[1496/5000][35/535][154361] Loss_D: -0.019723 Loss_G: 0.002477 Loss_D_real: -0.003949 Loss_D_fake 0.015774
[1496/5000][40/535][154362] Loss_D: -0.020287 Loss_G: 0.001265 Loss_D_real: -0.006995 Loss_D_fake 0.013292
[1496/5000][45/535][154363] Loss_D: -0.019386 Loss_G: -0.005721 Loss_D_real: -0.011723 Loss_D_fake 0.007663
[1496/5000][50/535][154364] Loss_D: -0.019092 Loss_G: 0.025143 Loss_D_real: -0.009356 Loss_D_fake 0.009736
[1496/5000][55/535][154365] Loss_D: -0.020145 Loss_G: -0.002518 Loss_D_real: -0.007908 Loss_D_fake 0.012238
[1496/5000][60/535][154366] Loss_D: -0.018205 Loss_G: 0.021398 Loss_D_real: -0.031023 Loss_D_fake -0.012818
[1496/5000][65/535][154367] Loss_D: -0.019329 Loss_G: -0.003541 Loss_D_real: -0.029082 Loss_D_fake -0.009753
[1496/5000][70/535][154368] Loss_D: -0.020611 Loss_G: -0.000171 Loss_D_real: -0.009393 Loss_D_fake 0.011218
[1496/5000][75/535][154369] Loss_D: -0.019597 Loss_G: -0.003505 Loss_D_real: -0.007071 Loss_D_fake 0.012526
[1496/5000][80/535][154370] Loss_D: -0.020470 Loss_G: 0.018615 Loss_D_real: -0.026581 Loss_D_fake -0.006111
[1496/5000][85/535][154371] Loss_D: -0.020762 Loss_G: 0.005816 Loss_D_real: -0.004687 Loss_D_fake 0.016076
[1496/5000][90/535][154372] Loss_D: -0.020631 Loss_G: 0.011698 Loss_D_real: -0.020951 Loss_D_fake -0.000320
[1496/5000][95/535][154373] Loss_D: -0.020733 Loss_G: 0.035137 Loss_D_real: -0.021604 Loss_D_fake -0.000871
[1496/5000][100/535][154374] Loss_D: -0.020527 Loss_G: 0.012769 Loss_D_real: -0.022959 Loss_D_fake -0.002432
[1496/5000][105/535][154375] Loss_D: -0.020557 Loss_G: 0.004454 Loss_D_real: -0.023175 Loss_D_fake -0.002618
[1496/5000][110/535][154376] Loss_D: -0.019575 Loss_G: 0.016052 Loss_D_real: -0.019840 Loss_D_fake -0.000265
[1496/5000][115/535][154377] Loss_D: -0.019660 Loss_G: -0.001403 Loss_D_real: -0.017773 Loss_D_fake 0.001887
[1496/5000][120/535][154378] Loss_D: -0.018935 Loss_G: 0.004578 Loss_D_real: -0.014735 Loss_D_fake 0.004200
[1496/5000][125/535][154379] Loss_D: -0.020248 Loss_G: -0.003953 Loss_D_real: -0.014174 Loss_D_fake 0.006074
[1496/5000][130/535][154380] Loss_D: -0.018748 Loss_G: 0.014105 Loss_D_real: -0.033591 Loss_D_fake -0.014843
[1496/5000][135/535][154381] Loss_D: -0.019762 Loss_G: 0.004347 Loss_D_real: -0.019247 Loss_D_fake 0.000516
[1496/5000][140/535][154382] Loss_D: -0.020412 Loss_G: 0.004219 Loss_D_real: -0.004655 Loss_D_fake 0.015758
[1496/5000][145/535][154383] Loss_D: -0.019865 Loss_G: 0.018240 Loss_D_real: -0.015742 Loss_D_fake 0.004123
[1496/5000][150/535][154384] Loss_D: -0.020273 Loss_G: 0.003823 Loss_D_real: -0.016893 Loss_D_fake 0.003380
[1496/5000][155/535][154385] Loss_D: -0.018777 Loss_G: 0.012197 Loss_D_real: -0.007061 Loss_D_fake 0.011716
[1496/5000][160/535][154386] Loss_D: -0.018310 Loss_G: 0.015020 Loss_D_real: -0.021159 Loss_D_fake -0.002849
[1496/5000][165/535][154387] Loss_D: -0.020420 Loss_G: -0.007474 Loss_D_real: -0.014400 Loss_D_fake 0.006021
[1496/5000][170/535][154388] Loss_D: -0.020272 Loss_G: 0.022862 Loss_D_real: -0.013499 Loss_D_fake 0.006773
[1496/5000][175/535][154389] Loss_D: -0.018692 Loss_G: -0.017215 Loss_D_real: 0.004873 Loss_D_fake 0.023565
[1496/5000][180/535][154390] Loss_D: -0.018821 Loss_G: 0.007588 Loss_D_real: -0.018651 Loss_D_fake 0.000170
[1496/5000][185/535][154391] Loss_D: -0.019680 Loss_G: -0.006900 Loss_D_real: 0.001322 Loss_D_fake 0.021001
[1496/5000][190/535][154392] Loss_D: -0.019890 Loss_G: 0.009668 Loss_D_real: -0.023098 Loss_D_fake -0.003208
[1496/5000][195/535][154393] Loss_D: -0.018909 Loss_G: 0.017741 Loss_D_real: -0.025665 Loss_D_fake -0.006756
[1496/5000][200/535][154394] Loss_D: -0.019288 Loss_G: 0.015446 Loss_D_real: -0.018022 Loss_D_fake 0.001266
[1496/5000][205/535][154395] Loss_D: -0.018638 Loss_G: 0.014360 Loss_D_real: -0.018291 Loss_D_fake 0.000347
[1496/5000][210/535][154396] Loss_D: -0.019645 Loss_G: -0.010295 Loss_D_real: -0.011457 Loss_D_fake 0.008187
[1496/5000][215/535][154397] Loss_D: -0.020056 Loss_G: 0.009300 Loss_D_real: -0.012431 Loss_D_fake 0.007625
[1496/5000][220/535][154398] Loss_D: -0.017943 Loss_G: 0.012452 Loss_D_real: -0.028408 Loss_D_fake -0.010465
[1496/5000][225/535][154399] Loss_D: -0.018963 Loss_G: 0.020561 Loss_D_real: -0.029396 Loss_D_fake -0.010433
[1496/5000][230/535][154400] Loss_D: -0.019621 Loss_G: 0.009198 Loss_D_real: -0.010445 Loss_D_fake 0.009176
[1496/5000][235/535][154401] Loss_D: -0.019745 Loss_G: 0.008497 Loss_D_real: -0.026368 Loss_D_fake -0.006623
[1496/5000][240/535][154402] Loss_D: -0.019874 Loss_G: 0.009274 Loss_D_real: -0.014756 Loss_D_fake 0.005118
[1496/5000][245/535][154403] Loss_D: -0.018508 Loss_G: 0.018159 Loss_D_real: -0.026914 Loss_D_fake -0.008405
[1496/5000][250/535][154404] Loss_D: -0.018793 Loss_G: 0.022753 Loss_D_real: -0.019227 Loss_D_fake -0.000434
[1496/5000][255/535][154405] Loss_D: -0.021315 Loss_G: 0.009809 Loss_D_real: -0.020677 Loss_D_fake 0.000638
[1496/5000][260/535][154406] Loss_D: -0.021357 Loss_G: -0.002631 Loss_D_real: -0.012449 Loss_D_fake 0.008908
[1496/5000][265/535][154407] Loss_D: -0.020814 Loss_G: 0.008075 Loss_D_real: -0.007969 Loss_D_fake 0.012845
[1496/5000][270/535][154408] Loss_D: -0.019535 Loss_G: 0.010225 Loss_D_real: -0.026637 Loss_D_fake -0.007102
[1496/5000][275/535][154409] Loss_D: -0.019615 Loss_G: -0.010604 Loss_D_real: 0.000696 Loss_D_fake 0.020312
[1496/5000][280/535][154410] Loss_D: -0.019905 Loss_G: 0.029892 Loss_D_real: -0.032768 Loss_D_fake -0.012862
[1496/5000][285/535][154411] Loss_D: -0.020681 Loss_G: 0.021012 Loss_D_real: -0.013707 Loss_D_fake 0.006974
[1496/5000][290/535][154412] Loss_D: -0.019740 Loss_G: 0.011898 Loss_D_real: -0.017979 Loss_D_fake 0.001761
[1496/5000][295/535][154413] Loss_D: -0.020878 Loss_G: 0.000764 Loss_D_real: -0.028026 Loss_D_fake -0.007148
[1496/5000][300/535][154414] Loss_D: -0.019538 Loss_G: 0.014855 Loss_D_real: -0.008437 Loss_D_fake 0.011102
[1496/5000][305/535][154415] Loss_D: -0.019278 Loss_G: -0.009787 Loss_D_real: -0.018797 Loss_D_fake 0.000481
[1496/5000][310/535][154416] Loss_D: -0.018123 Loss_G: 0.026579 Loss_D_real: -0.018128 Loss_D_fake -0.000005
[1496/5000][315/535][154417] Loss_D: -0.019423 Loss_G: 0.006693 Loss_D_real: -0.010413 Loss_D_fake 0.009010
[1496/5000][320/535][154418] Loss_D: -0.019018 Loss_G: -0.000626 Loss_D_real: -0.005961 Loss_D_fake 0.013057
[1496/5000][325/535][154419] Loss_D: -0.019161 Loss_G: 0.010472 Loss_D_real: -0.015536 Loss_D_fake 0.003625
[1496/5000][330/535][154420] Loss_D: -0.019452 Loss_G: -0.000633 Loss_D_real: -0.011999 Loss_D_fake 0.007453
[1496/5000][335/535][154421] Loss_D: -0.019456 Loss_G: 0.012741 Loss_D_real: -0.016700 Loss_D_fake 0.002756
[1496/5000][340/535][154422] Loss_D: -0.021123 Loss_G: -0.004997 Loss_D_real: -0.008945 Loss_D_fake 0.012179
[1496/5000][345/535][154423] Loss_D: -0.019701 Loss_G: 0.021802 Loss_D_real: -0.015727 Loss_D_fake 0.003973
[1496/5000][350/535][154424] Loss_D: -0.021329 Loss_G: 0.003330 Loss_D_real: -0.019156 Loss_D_fake 0.002173
[1496/5000][355/535][154425] Loss_D: -0.019177 Loss_G: -0.006008 Loss_D_real: -0.001940 Loss_D_fake 0.017237
[1496/5000][360/535][154426] Loss_D: -0.020733 Loss_G: 0.007973 Loss_D_real: -0.024525 Loss_D_fake -0.003792
[1496/5000][365/535][154427] Loss_D: -0.020638 Loss_G: 0.006312 Loss_D_real: -0.017316 Loss_D_fake 0.003322
[1496/5000][370/535][154428] Loss_D: -0.020159 Loss_G: 0.006212 Loss_D_real: -0.002421 Loss_D_fake 0.017738
[1496/5000][375/535][154429] Loss_D: -0.019998 Loss_G: 0.012743 Loss_D_real: -0.024240 Loss_D_fake -0.004242
[1496/5000][380/535][154430] Loss_D: -0.021200 Loss_G: 0.010276 Loss_D_real: -0.015728 Loss_D_fake 0.005472
[1496/5000][385/535][154431] Loss_D: -0.021178 Loss_G: -0.009326 Loss_D_real: -0.014154 Loss_D_fake 0.007024
[1496/5000][390/535][154432] Loss_D: -0.020854 Loss_G: 0.006757 Loss_D_real: -0.019123 Loss_D_fake 0.001731
[1496/5000][395/535][154433] Loss_D: -0.021148 Loss_G: -0.000741 Loss_D_real: 0.001691 Loss_D_fake 0.022839
[1496/5000][400/535][154434] Loss_D: -0.020350 Loss_G: 0.016249 Loss_D_real: -0.027039 Loss_D_fake -0.006689
[1496/5000][405/535][154435] Loss_D: -0.019247 Loss_G: -0.006893 Loss_D_real: 0.002222 Loss_D_fake 0.021469
[1496/5000][410/535][154436] Loss_D: -0.020969 Loss_G: -0.006053 Loss_D_real: -0.013446 Loss_D_fake 0.007522
[1496/5000][415/535][154437] Loss_D: -0.021227 Loss_G: 0.018793 Loss_D_real: -0.006489 Loss_D_fake 0.014738
[1496/5000][420/535][154438] Loss_D: -0.020600 Loss_G: 0.008211 Loss_D_real: -0.007133 Loss_D_fake 0.013467
[1496/5000][425/535][154439] Loss_D: -0.019699 Loss_G: 0.006468 Loss_D_real: -0.017269 Loss_D_fake 0.002431
[1496/5000][430/535][154440] Loss_D: -0.019802 Loss_G: -0.004162 Loss_D_real: -0.011721 Loss_D_fake 0.008081
[1496/5000][435/535][154441] Loss_D: -0.020582 Loss_G: 0.004145 Loss_D_real: -0.024917 Loss_D_fake -0.004334
[1496/5000][440/535][154442] Loss_D: -0.018553 Loss_G: -0.014037 Loss_D_real: -0.015881 Loss_D_fake 0.002671
[1496/5000][445/535][154443] Loss_D: -0.019928 Loss_G: 0.017879 Loss_D_real: -0.016965 Loss_D_fake 0.002963
[1496/5000][450/535][154444] Loss_D: -0.019182 Loss_G: -0.007229 Loss_D_real: -0.013161 Loss_D_fake 0.006021
[1496/5000][455/535][154445] Loss_D: -0.019571 Loss_G: 0.016351 Loss_D_real: -0.025017 Loss_D_fake -0.005446
[1496/5000][460/535][154446] Loss_D: -0.020563 Loss_G: 0.000997 Loss_D_real: -0.012736 Loss_D_fake 0.007827
[1496/5000][465/535][154447] Loss_D: -0.019662 Loss_G: -0.006466 Loss_D_real: -0.012074 Loss_D_fake 0.007588
[1496/5000][470/535][154448] Loss_D: -0.019362 Loss_G: 0.003931 Loss_D_real: -0.018631 Loss_D_fake 0.000731
[1496/5000][475/535][154449] Loss_D: -0.019803 Loss_G: 0.021078 Loss_D_real: -0.018075 Loss_D_fake 0.001728
[1496/5000][480/535][154450] Loss_D: -0.019454 Loss_G: 0.015717 Loss_D_real: -0.013971 Loss_D_fake 0.005483
[1496/5000][485/535][154451] Loss_D: -0.019618 Loss_G: -0.009289 Loss_D_real: -0.001616 Loss_D_fake 0.018003
[1496/5000][490/535][154452] Loss_D: -0.019281 Loss_G: 0.015427 Loss_D_real: -0.014632 Loss_D_fake 0.004649
[1496/5000][495/535][154453] Loss_D: -0.021055 Loss_G: -0.000931 Loss_D_real: -0.010633 Loss_D_fake 0.010422
[1496/5000][500/535][154454] Loss_D: -0.020012 Loss_G: -0.011252 Loss_D_real: -0.012904 Loss_D_fake 0.007108
[1496/5000][505/535][154455] Loss_D: -0.020028 Loss_G: -0.008652 Loss_D_real: -0.012945 Loss_D_fake 0.007083
[1496/5000][510/535][154456] Loss_D: -0.020270 Loss_G: 0.024666 Loss_D_real: -0.025414 Loss_D_fake -0.005143
[1496/5000][515/535][154457] Loss_D: -0.019355 Loss_G: 0.012583 Loss_D_real: -0.022660 Loss_D_fake -0.003305
[1496/5000][520/535][154458] Loss_D: -0.019463 Loss_G: 0.012263 Loss_D_real: -0.020045 Loss_D_fake -0.000581
[1496/5000][525/535][154459] Loss_D: -0.020749 Loss_G: -0.000083 Loss_D_real: -0.013539 Loss_D_fake 0.007210
[1496/5000][530/535][154460] Loss_D: -0.018758 Loss_G: 0.024627 Loss_D_real: -0.027121 Loss_D_fake -0.008363
[1496/5000][535/535][154461] Loss_D: -0.016959 Loss_G: 0.005616 Loss_D_real: -0.003862 Loss_D_fake 0.013098
[1497/5000][5/535][154462] Loss_D: -0.019955 Loss_G: 0.016263 Loss_D_real: -0.026573 Loss_D_fake -0.006618
[1497/5000][10/535][154463] Loss_D: -0.020685 Loss_G: 0.011004 Loss_D_real: -0.006535 Loss_D_fake 0.014150
[1497/5000][15/535][154464] Loss_D: -0.021567 Loss_G: 0.003907 Loss_D_real: -0.023206 Loss_D_fake -0.001639
[1497/5000][20/535][154465] Loss_D: -0.020789 Loss_G: 0.011607 Loss_D_real: -0.022019 Loss_D_fake -0.001230
[1497/5000][25/535][154466] Loss_D: -0.021525 Loss_G: -0.003039 Loss_D_real: -0.005246 Loss_D_fake 0.016278
[1497/5000][30/535][154467] Loss_D: -0.020370 Loss_G: 0.024359 Loss_D_real: -0.024955 Loss_D_fake -0.004585
[1497/5000][35/535][154468] Loss_D: -0.019654 Loss_G: 0.012612 Loss_D_real: -0.002257 Loss_D_fake 0.017397
[1497/5000][40/535][154469] Loss_D: -0.019030 Loss_G: 0.013936 Loss_D_real: -0.020648 Loss_D_fake -0.001619
[1497/5000][45/535][154470] Loss_D: -0.021203 Loss_G: 0.012614 Loss_D_real: -0.014745 Loss_D_fake 0.006458
[1497/5000][50/535][154471] Loss_D: -0.020766 Loss_G: -0.016457 Loss_D_real: -0.013172 Loss_D_fake 0.007594
[1497/5000][55/535][154472] Loss_D: -0.019711 Loss_G: 0.002543 Loss_D_real: -0.007299 Loss_D_fake 0.012411
[1497/5000][60/535][154473] Loss_D: -0.019779 Loss_G: 0.014464 Loss_D_real: -0.032535 Loss_D_fake -0.012756
[1497/5000][65/535][154474] Loss_D: -0.021727 Loss_G: 0.004943 Loss_D_real: -0.011124 Loss_D_fake 0.010603
[1497/5000][70/535][154475] Loss_D: -0.019789 Loss_G: 0.008595 Loss_D_real: -0.012160 Loss_D_fake 0.007629
[1497/5000][75/535][154476] Loss_D: -0.020576 Loss_G: 0.010762 Loss_D_real: -0.027195 Loss_D_fake -0.006619
[1497/5000][80/535][154477] Loss_D: -0.019393 Loss_G: 0.007077 Loss_D_real: -0.019774 Loss_D_fake -0.000381
[1497/5000][85/535][154478] Loss_D: -0.020496 Loss_G: 0.002074 Loss_D_real: -0.006863 Loss_D_fake 0.013633
[1497/5000][90/535][154479] Loss_D: -0.019942 Loss_G: 0.003336 Loss_D_real: -0.014554 Loss_D_fake 0.005389
[1497/5000][95/535][154480] Loss_D: -0.020196 Loss_G: 0.016093 Loss_D_real: -0.028068 Loss_D_fake -0.007873
[1497/5000][100/535][154481] Loss_D: -0.020040 Loss_G: 0.007328 Loss_D_real: -0.016464 Loss_D_fake 0.003576
[1497/5000][105/535][154482] Loss_D: -0.020008 Loss_G: -0.004597 Loss_D_real: -0.013642 Loss_D_fake 0.006366
[1497/5000][110/535][154483] Loss_D: -0.019652 Loss_G: 0.003845 Loss_D_real: -0.020302 Loss_D_fake -0.000650
[1497/5000][115/535][154484] Loss_D: -0.020049 Loss_G: -0.004560 Loss_D_real: -0.003077 Loss_D_fake 0.016972
[1497/5000][120/535][154485] Loss_D: -0.019608 Loss_G: 0.018281 Loss_D_real: -0.011744 Loss_D_fake 0.007864
[1497/5000][125/535][154486] Loss_D: -0.019320 Loss_G: -0.012622 Loss_D_real: -0.011492 Loss_D_fake 0.007828
[1497/5000][130/535][154487] Loss_D: -0.018114 Loss_G: 0.027545 Loss_D_real: -0.032107 Loss_D_fake -0.013994
[1497/5000][135/535][154488] Loss_D: -0.018559 Loss_G: -0.012990 Loss_D_real: -0.006930 Loss_D_fake 0.011629
[1497/5000][140/535][154489] Loss_D: -0.018102 Loss_G: 0.018159 Loss_D_real: -0.031259 Loss_D_fake -0.013157
[1497/5000][145/535][154490] Loss_D: -0.020083 Loss_G: 0.003640 Loss_D_real: -0.011010 Loss_D_fake 0.009074
[1497/5000][150/535][154491] Loss_D: -0.017573 Loss_G: -0.016834 Loss_D_real: 0.011080 Loss_D_fake 0.028653
[1497/5000][155/535][154492] Loss_D: -0.019253 Loss_G: 0.011523 Loss_D_real: -0.026583 Loss_D_fake -0.007330
[1497/5000][160/535][154493] Loss_D: -0.018731 Loss_G: 0.013258 Loss_D_real: -0.016293 Loss_D_fake 0.002438
[1497/5000][165/535][154494] Loss_D: -0.019821 Loss_G: 0.013696 Loss_D_real: -0.001707 Loss_D_fake 0.018115
[1497/5000][170/535][154495] Loss_D: -0.020635 Loss_G: 0.015744 Loss_D_real: -0.025985 Loss_D_fake -0.005350
[1497/5000][175/535][154496] Loss_D: -0.020714 Loss_G: 0.000986 Loss_D_real: -0.027726 Loss_D_fake -0.007012
[1497/5000][180/535][154497] Loss_D: -0.019746 Loss_G: 0.009596 Loss_D_real: -0.039314 Loss_D_fake -0.019567
[1497/5000][185/535][154498] Loss_D: -0.019782 Loss_G: 0.027867 Loss_D_real: -0.027601 Loss_D_fake -0.007820
[1497/5000][190/535][154499] Loss_D: -0.020016 Loss_G: 0.005637 Loss_D_real: -0.008249 Loss_D_fake 0.011768
[1497/5000][195/535][154500] Loss_D: -0.020783 Loss_G: 0.012831 Loss_D_real: -0.011436 Loss_D_fake 0.009348
[1497/5000][295/535][154501] Loss_D: -0.021367 Loss_G: 0.014881 Loss_D_real: -0.030750 Loss_D_fake -0.009383
[1497/5000][300/535][154502] Loss_D: -0.020053 Loss_G: 0.009119 Loss_D_real: -0.013844 Loss_D_fake 0.006209
[1497/5000][305/535][154503] Loss_D: -0.017217 Loss_G: -0.000139 Loss_D_real: -0.003245 Loss_D_fake 0.013972
[1497/5000][310/535][154504] Loss_D: -0.018805 Loss_G: 0.003869 Loss_D_real: -0.018304 Loss_D_fake 0.000501
[1497/5000][315/535][154505] Loss_D: -0.018119 Loss_G: -0.000394 Loss_D_real: -0.004164 Loss_D_fake 0.013955
[1497/5000][320/535][154506] Loss_D: -0.019016 Loss_G: 0.014362 Loss_D_real: -0.023714 Loss_D_fake -0.004698
[1497/5000][325/535][154507] Loss_D: -0.018492 Loss_G: 0.008204 Loss_D_real: -0.014526 Loss_D_fake 0.003967
[1497/5000][330/535][154508] Loss_D: -0.018642 Loss_G: 0.007746 Loss_D_real: -0.018294 Loss_D_fake 0.000348
[1497/5000][335/535][154509] Loss_D: -0.018158 Loss_G: 0.017900 Loss_D_real: -0.022077 Loss_D_fake -0.003918
[1497/5000][340/535][154510] Loss_D: -0.019032 Loss_G: 0.014858 Loss_D_real: -0.029410 Loss_D_fake -0.010378
[1497/5000][345/535][154511] Loss_D: -0.019777 Loss_G: 0.018368 Loss_D_real: -0.025139 Loss_D_fake -0.005362
[1497/5000][350/535][154512] Loss_D: -0.019300 Loss_G: 0.003895 Loss_D_real: -0.030968 Loss_D_fake -0.011668
[1497/5000][355/535][154513] Loss_D: -0.019956 Loss_G: 0.003104 Loss_D_real: -0.003983 Loss_D_fake 0.015973
[1497/5000][360/535][154514] Loss_D: -0.020575 Loss_G: -0.014519 Loss_D_real: -0.010771 Loss_D_fake 0.009804
[1497/5000][365/535][154515] Loss_D: -0.020095 Loss_G: 0.010756 Loss_D_real: -0.013019 Loss_D_fake 0.007076
[1497/5000][370/535][154516] Loss_D: -0.019582 Loss_G: 0.019102 Loss_D_real: -0.019099 Loss_D_fake 0.000483
[1497/5000][375/535][154517] Loss_D: -0.020782 Loss_G: 0.012374 Loss_D_real: -0.022762 Loss_D_fake -0.001980
[1497/5000][380/535][154518] Loss_D: -0.019459 Loss_G: 0.013024 Loss_D_real: -0.014805 Loss_D_fake 0.004654
[1497/5000][385/535][154519] Loss_D: -0.019670 Loss_G: 0.006836 Loss_D_real: -0.003260 Loss_D_fake 0.016410
[1497/5000][390/535][154520] Loss_D: -0.019877 Loss_G: 0.012200 Loss_D_real: -0.029916 Loss_D_fake -0.010039
[1497/5000][395/535][154521] Loss_D: -0.019994 Loss_G: -0.002789 Loss_D_real: -0.013672 Loss_D_fake 0.006322
[1497/5000][400/535][154522] Loss_D: -0.019440 Loss_G: -0.009453 Loss_D_real: -0.011718 Loss_D_fake 0.007722
[1497/5000][405/535][154523] Loss_D: -0.019836 Loss_G: -0.002528 Loss_D_real: 0.008838 Loss_D_fake 0.028675
[1497/5000][410/535][154524] Loss_D: -0.018545 Loss_G: 0.029841 Loss_D_real: -0.023437 Loss_D_fake -0.004892
[1497/5000][415/535][154525] Loss_D: -0.019551 Loss_G: 0.012521 Loss_D_real: -0.019202 Loss_D_fake 0.000348
[1497/5000][420/535][154526] Loss_D: -0.019351 Loss_G: 0.022584 Loss_D_real: -0.026959 Loss_D_fake -0.007608
[1497/5000][425/535][154527] Loss_D: -0.018286 Loss_G: -0.016087 Loss_D_real: 0.003863 Loss_D_fake 0.022149
[1497/5000][430/535][154528] Loss_D: -0.018779 Loss_G: 0.022200 Loss_D_real: -0.027262 Loss_D_fake -0.008483
[1497/5000][435/535][154529] Loss_D: -0.018616 Loss_G: 0.006943 Loss_D_real: -0.031758 Loss_D_fake -0.013142
[1497/5000][440/535][154530] Loss_D: -0.018881 Loss_G: 0.017807 Loss_D_real: -0.025530 Loss_D_fake -0.006650
[1497/5000][445/535][154531] Loss_D: -0.019674 Loss_G: 0.001952 Loss_D_real: -0.013435 Loss_D_fake 0.006239
[1497/5000][450/535][154532] Loss_D: -0.020009 Loss_G: 0.005696 Loss_D_real: -0.021776 Loss_D_fake -0.001767
[1497/5000][455/535][154533] Loss_D: -0.019949 Loss_G: 0.016819 Loss_D_real: -0.010437 Loss_D_fake 0.009512
[1497/5000][460/535][154534] Loss_D: -0.019554 Loss_G: 0.006176 Loss_D_real: -0.024403 Loss_D_fake -0.004849
[1497/5000][465/535][154535] Loss_D: -0.019797 Loss_G: 0.003985 Loss_D_real: -0.010800 Loss_D_fake 0.008997
[1497/5000][470/535][154536] Loss_D: -0.019002 Loss_G: 0.015547 Loss_D_real: -0.021327 Loss_D_fake -0.002325
[1497/5000][475/535][154537] Loss_D: -0.020508 Loss_G: 0.016519 Loss_D_real: -0.015670 Loss_D_fake 0.004839
[1497/5000][480/535][154538] Loss_D: -0.019463 Loss_G: 0.009710 Loss_D_real: -0.025419 Loss_D_fake -0.005955
[1497/5000][485/535][154539] Loss_D: -0.020468 Loss_G: -0.003980 Loss_D_real: -0.012050 Loss_D_fake 0.008418
[1497/5000][490/535][154540] Loss_D: -0.019539 Loss_G: 0.037466 Loss_D_real: -0.030232 Loss_D_fake -0.010693
[1497/5000][495/535][154541] Loss_D: -0.019513 Loss_G: 0.007007 Loss_D_real: -0.010597 Loss_D_fake 0.008916
[1497/5000][500/535][154542] Loss_D: -0.020662 Loss_G: -0.006493 Loss_D_real: -0.009778 Loss_D_fake 0.010883
[1497/5000][505/535][154543] Loss_D: -0.021009 Loss_G: 0.008458 Loss_D_real: -0.017242 Loss_D_fake 0.003768
[1497/5000][510/535][154544] Loss_D: -0.021789 Loss_G: 0.008158 Loss_D_real: -0.016456 Loss_D_fake 0.005333
[1497/5000][515/535][154545] Loss_D: -0.019242 Loss_G: -0.001351 Loss_D_real: -0.012624 Loss_D_fake 0.006618
[1497/5000][520/535][154546] Loss_D: -0.019039 Loss_G: 0.019495 Loss_D_real: -0.017842 Loss_D_fake 0.001197
[1497/5000][525/535][154547] Loss_D: -0.020364 Loss_G: -0.003821 Loss_D_real: -0.005861 Loss_D_fake 0.014503
[1497/5000][530/535][154548] Loss_D: -0.021354 Loss_G: 0.023382 Loss_D_real: -0.020527 Loss_D_fake 0.000827
[1497/5000][535/535][154549] Loss_D: -0.018574 Loss_G: -0.006428 Loss_D_real: -0.006006 Loss_D_fake 0.012568
[1498/5000][5/535][154550] Loss_D: -0.020222 Loss_G: 0.017738 Loss_D_real: -0.011484 Loss_D_fake 0.008738
[1498/5000][10/535][154551] Loss_D: -0.019898 Loss_G: -0.006089 Loss_D_real: -0.009438 Loss_D_fake 0.010460
[1498/5000][15/535][154552] Loss_D: -0.019688 Loss_G: 0.005447 Loss_D_real: -0.008929 Loss_D_fake 0.010759
[1498/5000][20/535][154553] Loss_D: -0.020538 Loss_G: 0.010232 Loss_D_real: -0.016184 Loss_D_fake 0.004354
[1498/5000][25/535][154554] Loss_D: -0.019681 Loss_G: 0.016396 Loss_D_real: -0.022795 Loss_D_fake -0.003114
[1498/5000][30/535][154555] Loss_D: -0.020352 Loss_G: 0.004316 Loss_D_real: -0.019962 Loss_D_fake 0.000390
[1498/5000][35/535][154556] Loss_D: -0.019163 Loss_G: 0.005020 Loss_D_real: -0.005617 Loss_D_fake 0.013547
[1498/5000][40/535][154557] Loss_D: -0.020524 Loss_G: 0.015892 Loss_D_real: -0.018885 Loss_D_fake 0.001638
[1498/5000][45/535][154558] Loss_D: -0.020472 Loss_G: 0.013906 Loss_D_real: -0.019123 Loss_D_fake 0.001349
[1498/5000][50/535][154559] Loss_D: -0.020719 Loss_G: -0.004238 Loss_D_real: -0.001190 Loss_D_fake 0.019529
[1498/5000][55/535][154560] Loss_D: -0.019355 Loss_G: 0.009662 Loss_D_real: -0.024536 Loss_D_fake -0.005181
[1498/5000][60/535][154561] Loss_D: -0.019786 Loss_G: -0.005498 Loss_D_real: -0.021471 Loss_D_fake -0.001685
[1498/5000][65/535][154562] Loss_D: -0.019484 Loss_G: 0.015889 Loss_D_real: -0.014371 Loss_D_fake 0.005113
[1498/5000][70/535][154563] Loss_D: -0.019349 Loss_G: 0.014442 Loss_D_real: -0.032398 Loss_D_fake -0.013050
[1498/5000][75/535][154564] Loss_D: -0.020831 Loss_G: 0.005827 Loss_D_real: -0.004452 Loss_D_fake 0.016379
[1498/5000][80/535][154565] Loss_D: -0.021113 Loss_G: 0.013707 Loss_D_real: -0.017306 Loss_D_fake 0.003807
[1498/5000][85/535][154566] Loss_D: -0.019751 Loss_G: 0.016204 Loss_D_real: -0.012571 Loss_D_fake 0.007180
[1498/5000][90/535][154567] Loss_D: -0.019238 Loss_G: 0.000691 Loss_D_real: -0.018513 Loss_D_fake 0.000726
[1498/5000][95/535][154568] Loss_D: -0.017820 Loss_G: 0.027531 Loss_D_real: -0.035965 Loss_D_fake -0.018145
[1498/5000][100/535][154569] Loss_D: -0.019345 Loss_G: -0.003193 Loss_D_real: -0.014637 Loss_D_fake 0.004707
[1498/5000][105/535][154570] Loss_D: -0.018183 Loss_G: 0.019501 Loss_D_real: -0.043580 Loss_D_fake -0.025398
[1498/5000][110/535][154571] Loss_D: -0.019070 Loss_G: 0.019159 Loss_D_real: -0.027404 Loss_D_fake -0.008334
[1498/5000][115/535][154572] Loss_D: -0.020057 Loss_G: -0.007750 Loss_D_real: -0.005478 Loss_D_fake 0.014579
[1498/5000][120/535][154573] Loss_D: -0.020669 Loss_G: -0.010580 Loss_D_real: -0.006732 Loss_D_fake 0.013937
[1498/5000][125/535][154574] Loss_D: -0.021349 Loss_G: 0.015173 Loss_D_real: -0.007872 Loss_D_fake 0.013478
[1498/5000][130/535][154575] Loss_D: -0.020819 Loss_G: 0.004708 Loss_D_real: -0.025225 Loss_D_fake -0.004406
[1498/5000][135/535][154576] Loss_D: -0.020174 Loss_G: 0.013157 Loss_D_real: -0.012488 Loss_D_fake 0.007686
[1498/5000][140/535][154577] Loss_D: -0.020069 Loss_G: 0.005017 Loss_D_real: -0.007616 Loss_D_fake 0.012453
[1498/5000][145/535][154578] Loss_D: -0.018844 Loss_G: 0.012214 Loss_D_real: -0.019202 Loss_D_fake -0.000358
[1498/5000][150/535][154579] Loss_D: -0.019765 Loss_G: 0.020738 Loss_D_real: -0.028756 Loss_D_fake -0.008991
[1498/5000][155/535][154580] Loss_D: -0.019076 Loss_G: -0.001580 Loss_D_real: -0.013555 Loss_D_fake 0.005521
[1498/5000][160/535][154581] Loss_D: -0.019864 Loss_G: 0.003579 Loss_D_real: -0.012129 Loss_D_fake 0.007735
[1498/5000][165/535][154582] Loss_D: -0.019800 Loss_G: 0.022135 Loss_D_real: -0.024205 Loss_D_fake -0.004405
[1498/5000][170/535][154583] Loss_D: -0.019516 Loss_G: 0.006172 Loss_D_real: -0.013126 Loss_D_fake 0.006390
[1498/5000][175/535][154584] Loss_D: -0.019407 Loss_G: 0.018411 Loss_D_real: -0.023096 Loss_D_fake -0.003689
[1498/5000][180/535][154585] Loss_D: -0.019146 Loss_G: -0.010503 Loss_D_real: -0.009017 Loss_D_fake 0.010130
[1498/5000][185/535][154586] Loss_D: -0.020708 Loss_G: 0.006365 Loss_D_real: -0.011386 Loss_D_fake 0.009322
[1498/5000][190/535][154587] Loss_D: -0.020603 Loss_G: 0.000668 Loss_D_real: -0.017167 Loss_D_fake 0.003437
[1498/5000][195/535][154588] Loss_D: -0.021617 Loss_G: -0.004713 Loss_D_real: -0.020251 Loss_D_fake 0.001366
[1498/5000][200/535][154589] Loss_D: -0.019174 Loss_G: 0.004280 Loss_D_real: -0.010590 Loss_D_fake 0.008584
[1498/5000][205/535][154590] Loss_D: -0.019896 Loss_G: 0.035136 Loss_D_real: -0.018242 Loss_D_fake 0.001654
[1498/5000][210/535][154591] Loss_D: -0.020251 Loss_G: -0.006018 Loss_D_real: -0.019717 Loss_D_fake 0.000534
[1498/5000][215/535][154592] Loss_D: -0.019784 Loss_G: 0.011050 Loss_D_real: -0.019643 Loss_D_fake 0.000141
[1498/5000][220/535][154593] Loss_D: -0.018510 Loss_G: 0.016379 Loss_D_real: -0.023165 Loss_D_fake -0.004655
[1498/5000][225/535][154594] Loss_D: -0.020880 Loss_G: 0.008080 Loss_D_real: -0.013524 Loss_D_fake 0.007356
[1498/5000][230/535][154595] Loss_D: -0.019843 Loss_G: 0.009065 Loss_D_real: -0.010575 Loss_D_fake 0.009268
[1498/5000][235/535][154596] Loss_D: -0.019373 Loss_G: 0.030388 Loss_D_real: -0.036253 Loss_D_fake -0.016880
[1498/5000][240/535][154597] Loss_D: -0.019671 Loss_G: 0.016192 Loss_D_real: -0.016296 Loss_D_fake 0.003375
[1498/5000][245/535][154598] Loss_D: -0.021062 Loss_G: 0.004717 Loss_D_real: -0.005704 Loss_D_fake 0.015357
[1498/5000][250/535][154599] Loss_D: -0.020346 Loss_G: 0.008612 Loss_D_real: -0.026667 Loss_D_fake -0.006322
[1498/5000][255/535][154600] Loss_D: -0.020765 Loss_G: 0.002613 Loss_D_real: -0.011601 Loss_D_fake 0.009164
[1498/5000][260/535][154601] Loss_D: -0.020399 Loss_G: -0.002536 Loss_D_real: -0.008188 Loss_D_fake 0.012211
[1498/5000][265/535][154602] Loss_D: -0.019059 Loss_G: 0.002644 Loss_D_real: -0.015307 Loss_D_fake 0.003753
[1498/5000][270/535][154603] Loss_D: -0.020167 Loss_G: 0.007337 Loss_D_real: -0.019400 Loss_D_fake 0.000767
[1498/5000][275/535][154604] Loss_D: -0.018786 Loss_G: 0.023520 Loss_D_real: -0.029782 Loss_D_fake -0.010997
[1498/5000][280/535][154605] Loss_D: -0.017627 Loss_G: 0.033717 Loss_D_real: -0.024875 Loss_D_fake -0.007248
[1498/5000][285/535][154606] Loss_D: -0.020702 Loss_G: 0.007326 Loss_D_real: -0.018560 Loss_D_fake 0.002141
[1498/5000][290/535][154607] Loss_D: -0.019032 Loss_G: -0.001527 Loss_D_real: -0.001971 Loss_D_fake 0.017062
[1498/5000][295/535][154608] Loss_D: -0.019612 Loss_G: -0.000157 Loss_D_real: -0.019282 Loss_D_fake 0.000330
[1498/5000][300/535][154609] Loss_D: -0.020062 Loss_G: -0.001713 Loss_D_real: -0.011426 Loss_D_fake 0.008636
[1498/5000][305/535][154610] Loss_D: -0.020095 Loss_G: 0.006132 Loss_D_real: -0.012483 Loss_D_fake 0.007613
[1498/5000][310/535][154611] Loss_D: -0.018405 Loss_G: 0.010604 Loss_D_real: -0.006637 Loss_D_fake 0.011768
[1498/5000][315/535][154612] Loss_D: -0.019494 Loss_G: 0.013982 Loss_D_real: -0.031536 Loss_D_fake -0.012042
[1498/5000][320/535][154613] Loss_D: -0.020797 Loss_G: 0.016162 Loss_D_real: -0.026825 Loss_D_fake -0.006028
[1498/5000][325/535][154614] Loss_D: -0.019246 Loss_G: 0.013131 Loss_D_real: -0.027419 Loss_D_fake -0.008174
[1498/5000][330/535][154615] Loss_D: -0.019858 Loss_G: -0.011971 Loss_D_real: -0.010907 Loss_D_fake 0.008951
[1498/5000][335/535][154616] Loss_D: -0.019117 Loss_G: 0.011361 Loss_D_real: -0.014674 Loss_D_fake 0.004443
[1498/5000][340/535][154617] Loss_D: -0.019823 Loss_G: 0.007153 Loss_D_real: -0.022907 Loss_D_fake -0.003084
[1498/5000][345/535][154618] Loss_D: -0.020025 Loss_G: 0.016241 Loss_D_real: -0.020656 Loss_D_fake -0.000631
[1498/5000][350/535][154619] Loss_D: -0.019260 Loss_G: 0.012247 Loss_D_real: -0.019137 Loss_D_fake 0.000123
[1498/5000][355/535][154620] Loss_D: -0.019997 Loss_G: 0.020616 Loss_D_real: -0.016320 Loss_D_fake 0.003677
[1498/5000][360/535][154621] Loss_D: -0.020232 Loss_G: -0.001701 Loss_D_real: -0.010327 Loss_D_fake 0.009905
[1498/5000][365/535][154622] Loss_D: -0.020196 Loss_G: 0.013742 Loss_D_real: -0.018219 Loss_D_fake 0.001978
[1498/5000][370/535][154623] Loss_D: -0.019800 Loss_G: 0.000275 Loss_D_real: -0.013613 Loss_D_fake 0.006187
[1498/5000][375/535][154624] Loss_D: -0.019765 Loss_G: 0.013165 Loss_D_real: -0.018439 Loss_D_fake 0.001326
[1498/5000][380/535][154625] Loss_D: -0.020425 Loss_G: 0.015698 Loss_D_real: -0.017238 Loss_D_fake 0.003187
[1498/5000][385/535][154626] Loss_D: -0.019683 Loss_G: 0.003993 Loss_D_real: -0.014201 Loss_D_fake 0.005482
[1498/5000][390/535][154627] Loss_D: -0.019268 Loss_G: 0.009060 Loss_D_real: -0.030401 Loss_D_fake -0.011133
[1498/5000][395/535][154628] Loss_D: -0.020092 Loss_G: 0.010450 Loss_D_real: -0.023425 Loss_D_fake -0.003333
[1498/5000][400/535][154629] Loss_D: -0.021757 Loss_G: 0.014099 Loss_D_real: -0.011447 Loss_D_fake 0.010311
[1498/5000][405/535][154630] Loss_D: -0.020178 Loss_G: 0.018835 Loss_D_real: -0.017255 Loss_D_fake 0.002923
[1498/5000][410/535][154631] Loss_D: -0.019726 Loss_G: -0.003177 Loss_D_real: -0.003725 Loss_D_fake 0.016002
[1498/5000][415/535][154632] Loss_D: -0.020202 Loss_G: 0.009866 Loss_D_real: -0.004807 Loss_D_fake 0.015394
[1498/5000][420/535][154633] Loss_D: -0.020487 Loss_G: -0.010521 Loss_D_real: -0.007670 Loss_D_fake 0.012818
[1498/5000][425/535][154634] Loss_D: -0.020230 Loss_G: 0.017265 Loss_D_real: -0.018721 Loss_D_fake 0.001508
[1498/5000][430/535][154635] Loss_D: -0.020690 Loss_G: 0.035015 Loss_D_real: -0.024829 Loss_D_fake -0.004139
[1498/5000][435/535][154636] Loss_D: -0.019098 Loss_G: 0.011044 Loss_D_real: -0.024714 Loss_D_fake -0.005617
[1498/5000][440/535][154637] Loss_D: -0.020478 Loss_G: 0.019830 Loss_D_real: -0.027570 Loss_D_fake -0.007092
[1498/5000][445/535][154638] Loss_D: -0.019946 Loss_G: -0.002542 Loss_D_real: -0.008362 Loss_D_fake 0.011584
[1498/5000][450/535][154639] Loss_D: -0.020552 Loss_G: -0.001836 Loss_D_real: -0.023812 Loss_D_fake -0.003260
[1498/5000][455/535][154640] Loss_D: -0.019893 Loss_G: 0.010985 Loss_D_real: -0.013856 Loss_D_fake 0.006037
[1498/5000][460/535][154641] Loss_D: -0.019384 Loss_G: -0.013748 Loss_D_real: 0.001441 Loss_D_fake 0.020825
[1498/5000][465/535][154642] Loss_D: -0.020765 Loss_G: 0.006342 Loss_D_real: -0.027354 Loss_D_fake -0.006589
[1498/5000][470/535][154643] Loss_D: -0.020307 Loss_G: -0.008048 Loss_D_real: -0.009298 Loss_D_fake 0.011010
[1498/5000][475/535][154644] Loss_D: -0.019749 Loss_G: 0.019827 Loss_D_real: -0.024003 Loss_D_fake -0.004254
[1498/5000][480/535][154645] Loss_D: -0.018864 Loss_G: -0.001580 Loss_D_real: -0.015503 Loss_D_fake 0.003361
[1498/5000][485/535][154646] Loss_D: -0.019963 Loss_G: 0.010092 Loss_D_real: -0.003206 Loss_D_fake 0.016757
[1498/5000][490/535][154647] Loss_D: -0.020081 Loss_G: 0.010347 Loss_D_real: -0.011888 Loss_D_fake 0.008193
[1498/5000][495/535][154648] Loss_D: -0.020197 Loss_G: 0.004257 Loss_D_real: -0.021273 Loss_D_fake -0.001075
[1498/5000][500/535][154649] Loss_D: -0.019612 Loss_G: -0.001146 Loss_D_real: -0.019285 Loss_D_fake 0.000327
[1498/5000][505/535][154650] Loss_D: -0.018938 Loss_G: 0.017521 Loss_D_real: -0.029598 Loss_D_fake -0.010660
[1498/5000][510/535][154651] Loss_D: -0.018978 Loss_G: 0.002760 Loss_D_real: -0.007652 Loss_D_fake 0.011326
[1498/5000][515/535][154652] Loss_D: -0.018759 Loss_G: -0.000375 Loss_D_real: -0.015596 Loss_D_fake 0.003163
[1498/5000][520/535][154653] Loss_D: -0.019620 Loss_G: -0.001494 Loss_D_real: 0.000162 Loss_D_fake 0.019782
[1498/5000][525/535][154654] Loss_D: -0.020231 Loss_G: 0.013155 Loss_D_real: -0.018351 Loss_D_fake 0.001880
[1498/5000][530/535][154655] Loss_D: -0.022188 Loss_G: 0.025021 Loss_D_real: -0.019639 Loss_D_fake 0.002549
[1498/5000][535/535][154656] Loss_D: -0.021652 Loss_G: 0.015531 Loss_D_real: -0.044955 Loss_D_fake -0.023303
[1499/5000][5/535][154657] Loss_D: -0.020815 Loss_G: 0.006293 Loss_D_real: -0.002817 Loss_D_fake 0.017998
[1499/5000][10/535][154658] Loss_D: -0.019506 Loss_G: 0.028993 Loss_D_real: -0.030319 Loss_D_fake -0.010813
[1499/5000][15/535][154659] Loss_D: -0.018794 Loss_G: 0.003537 Loss_D_real: -0.013517 Loss_D_fake 0.005276
[1499/5000][20/535][154660] Loss_D: -0.020158 Loss_G: 0.011013 Loss_D_real: -0.014541 Loss_D_fake 0.005617
[1499/5000][25/535][154661] Loss_D: -0.020406 Loss_G: -0.001424 Loss_D_real: -0.017614 Loss_D_fake 0.002792
[1499/5000][30/535][154662] Loss_D: -0.019460 Loss_G: 0.025554 Loss_D_real: -0.031816 Loss_D_fake -0.012356
[1499/5000][35/535][154663] Loss_D: -0.019329 Loss_G: -0.000190 Loss_D_real: -0.008057 Loss_D_fake 0.011271
[1499/5000][40/535][154664] Loss_D: -0.019812 Loss_G: 0.032338 Loss_D_real: -0.026166 Loss_D_fake -0.006354
[1499/5000][45/535][154665] Loss_D: -0.020264 Loss_G: 0.013852 Loss_D_real: -0.025775 Loss_D_fake -0.005512
[1499/5000][50/535][154666] Loss_D: -0.021346 Loss_G: 0.003012 Loss_D_real: -0.028385 Loss_D_fake -0.007039
[1499/5000][55/535][154667] Loss_D: -0.019980 Loss_G: 0.004167 Loss_D_real: -0.026324 Loss_D_fake -0.006344
[1499/5000][60/535][154668] Loss_D: -0.021199 Loss_G: 0.016571 Loss_D_real: -0.019980 Loss_D_fake 0.001219
[1499/5000][65/535][154669] Loss_D: -0.020652 Loss_G: 0.016170 Loss_D_real: -0.028071 Loss_D_fake -0.007420
[1499/5000][70/535][154670] Loss_D: -0.019833 Loss_G: 0.003259 Loss_D_real: -0.006972 Loss_D_fake 0.012861
[1499/5000][75/535][154671] Loss_D: -0.018819 Loss_G: 0.012776 Loss_D_real: -0.024594 Loss_D_fake -0.005775
[1499/5000][80/535][154672] Loss_D: -0.019973 Loss_G: 0.004923 Loss_D_real: -0.013004 Loss_D_fake 0.006968
[1499/5000][85/535][154673] Loss_D: -0.020272 Loss_G: -0.010873 Loss_D_real: -0.011868 Loss_D_fake 0.008404
[1499/5000][90/535][154674] Loss_D: -0.019403 Loss_G: 0.000996 Loss_D_real: -0.015864 Loss_D_fake 0.003539
[1499/5000][95/535][154675] Loss_D: -0.020452 Loss_G: 0.005664 Loss_D_real: -0.007091 Loss_D_fake 0.013361
[1499/5000][100/535][154676] Loss_D: -0.019551 Loss_G: 0.019321 Loss_D_real: -0.015368 Loss_D_fake 0.004183
[1499/5000][105/535][154677] Loss_D: -0.019297 Loss_G: 0.002787 Loss_D_real: -0.018189 Loss_D_fake 0.001108
[1499/5000][110/535][154678] Loss_D: -0.019563 Loss_G: 0.021365 Loss_D_real: -0.022832 Loss_D_fake -0.003268
[1499/5000][115/535][154679] Loss_D: -0.019116 Loss_G: 0.003192 Loss_D_real: -0.021071 Loss_D_fake -0.001955
[1499/5000][120/535][154680] Loss_D: -0.020513 Loss_G: 0.029039 Loss_D_real: -0.023289 Loss_D_fake -0.002777
[1499/5000][125/535][154681] Loss_D: -0.019991 Loss_G: 0.003642 Loss_D_real: -0.010955 Loss_D_fake 0.009036
[1499/5000][130/535][154682] Loss_D: -0.021713 Loss_G: 0.008879 Loss_D_real: -0.014779 Loss_D_fake 0.006934
[1499/5000][135/535][154683] Loss_D: -0.020131 Loss_G: 0.008177 Loss_D_real: -0.026420 Loss_D_fake -0.006289
[1499/5000][140/535][154684] Loss_D: -0.019107 Loss_G: 0.011747 Loss_D_real: -0.014943 Loss_D_fake 0.004164
[1499/5000][145/535][154685] Loss_D: -0.020375 Loss_G: 0.004123 Loss_D_real: -0.018811 Loss_D_fake 0.001564
[1499/5000][150/535][154686] Loss_D: -0.019831 Loss_G: -0.002153 Loss_D_real: -0.003909 Loss_D_fake 0.015922
[1499/5000][155/535][154687] Loss_D: -0.018882 Loss_G: 0.020392 Loss_D_real: -0.031659 Loss_D_fake -0.012778
[1499/5000][160/535][154688] Loss_D: -0.019336 Loss_G: 0.010879 Loss_D_real: -0.019752 Loss_D_fake -0.000416
[1499/5000][165/535][154689] Loss_D: -0.018271 Loss_G: 0.027030 Loss_D_real: -0.034213 Loss_D_fake -0.015942
[1499/5000][170/535][154690] Loss_D: -0.018820 Loss_G: 0.004928 Loss_D_real: -0.020179 Loss_D_fake -0.001358
[1499/5000][175/535][154691] Loss_D: -0.019603 Loss_G: 0.002049 Loss_D_real: -0.005891 Loss_D_fake 0.013712
[1499/5000][180/535][154692] Loss_D: -0.019202 Loss_G: 0.011631 Loss_D_real: -0.024385 Loss_D_fake -0.005183
[1499/5000][185/535][154693] Loss_D: -0.021095 Loss_G: -0.009274 Loss_D_real: -0.000970 Loss_D_fake 0.020124
[1499/5000][190/535][154694] Loss_D: -0.019866 Loss_G: 0.009572 Loss_D_real: -0.004573 Loss_D_fake 0.015293
[1499/5000][195/535][154695] Loss_D: -0.020208 Loss_G: 0.004160 Loss_D_real: -0.013185 Loss_D_fake 0.007022
[1499/5000][200/535][154696] Loss_D: -0.020064 Loss_G: 0.010682 Loss_D_real: -0.027162 Loss_D_fake -0.007098
[1499/5000][205/535][154697] Loss_D: -0.019264 Loss_G: -0.000863 Loss_D_real: -0.010403 Loss_D_fake 0.008861
[1499/5000][210/535][154698] Loss_D: -0.019858 Loss_G: 0.015154 Loss_D_real: -0.019946 Loss_D_fake -0.000089
[1499/5000][215/535][154699] Loss_D: -0.020042 Loss_G: -0.008143 Loss_D_real: -0.009280 Loss_D_fake 0.010763
[1499/5000][220/535][154700] Loss_D: -0.018232 Loss_G: -0.011447 Loss_D_real: -0.011770 Loss_D_fake 0.006462
[1499/5000][225/535][154701] Loss_D: -0.019779 Loss_G: 0.009593 Loss_D_real: -0.019297 Loss_D_fake 0.000482
[1499/5000][230/535][154702] Loss_D: -0.021483 Loss_G: 0.015237 Loss_D_real: -0.014864 Loss_D_fake 0.006619
[1499/5000][235/535][154703] Loss_D: -0.019432 Loss_G: 0.000302 Loss_D_real: -0.012966 Loss_D_fake 0.006466
[1499/5000][240/535][154704] Loss_D: -0.019723 Loss_G: 0.001545 Loss_D_real: -0.020462 Loss_D_fake -0.000738
[1499/5000][245/535][154705] Loss_D: -0.018155 Loss_G: 0.002738 Loss_D_real: -0.020377 Loss_D_fake -0.002222
[1499/5000][250/535][154706] Loss_D: -0.017767 Loss_G: -0.017924 Loss_D_real: -0.006792 Loss_D_fake 0.010975
[1499/5000][255/535][154707] Loss_D: -0.020463 Loss_G: 0.008045 Loss_D_real: -0.021189 Loss_D_fake -0.000726
[1499/5000][260/535][154708] Loss_D: -0.018644 Loss_G: 0.019137 Loss_D_real: -0.023226 Loss_D_fake -0.004582
[1499/5000][265/535][154709] Loss_D: -0.018747 Loss_G: -0.006210 Loss_D_real: -0.003998 Loss_D_fake 0.014749
[1499/5000][270/535][154710] Loss_D: -0.019783 Loss_G: -0.000724 Loss_D_real: -0.008566 Loss_D_fake 0.011217
[1499/5000][275/535][154711] Loss_D: -0.020987 Loss_G: 0.019456 Loss_D_real: -0.008061 Loss_D_fake 0.012926
[1499/5000][280/535][154712] Loss_D: -0.019432 Loss_G: 0.003763 Loss_D_real: -0.016279 Loss_D_fake 0.003152
[1499/5000][285/535][154713] Loss_D: -0.019066 Loss_G: 0.009985 Loss_D_real: -0.026960 Loss_D_fake -0.007893
[1499/5000][290/535][154714] Loss_D: -0.020590 Loss_G: 0.006904 Loss_D_real: -0.019650 Loss_D_fake 0.000940
[1499/5000][295/535][154715] Loss_D: -0.020250 Loss_G: 0.008066 Loss_D_real: -0.015333 Loss_D_fake 0.004917
[1499/5000][300/535][154716] Loss_D: -0.020370 Loss_G: 0.010465 Loss_D_real: -0.024591 Loss_D_fake -0.004221
[1499/5000][305/535][154717] Loss_D: -0.019795 Loss_G: 0.011910 Loss_D_real: -0.015580 Loss_D_fake 0.004215
[1499/5000][310/535][154718] Loss_D: -0.020574 Loss_G: -0.000187 Loss_D_real: -0.028394 Loss_D_fake -0.007820
[1499/5000][315/535][154719] Loss_D: -0.020152 Loss_G: -0.005682 Loss_D_real: -0.025068 Loss_D_fake -0.004916
[1499/5000][320/535][154720] Loss_D: -0.019680 Loss_G: -0.004478 Loss_D_real: -0.006214 Loss_D_fake 0.013467
[1499/5000][325/535][154721] Loss_D: -0.019736 Loss_G: -0.005493 Loss_D_real: -0.015859 Loss_D_fake 0.003877
[1499/5000][330/535][154722] Loss_D: -0.020712 Loss_G: 0.020932 Loss_D_real: -0.020418 Loss_D_fake 0.000294
[1499/5000][335/535][154723] Loss_D: -0.019214 Loss_G: -0.011202 Loss_D_real: -0.005845 Loss_D_fake 0.013369
[1499/5000][340/535][154724] Loss_D: -0.019741 Loss_G: 0.009825 Loss_D_real: -0.019988 Loss_D_fake -0.000247
[1499/5000][345/535][154725] Loss_D: -0.020313 Loss_G: 0.007266 Loss_D_real: -0.006319 Loss_D_fake 0.013995
[1499/5000][350/535][154726] Loss_D: -0.019744 Loss_G: -0.011710 Loss_D_real: -0.009284 Loss_D_fake 0.010460
[1499/5000][355/535][154727] Loss_D: -0.019438 Loss_G: 0.002686 Loss_D_real: -0.018346 Loss_D_fake 0.001092
[1499/5000][360/535][154728] Loss_D: -0.018807 Loss_G: 0.008478 Loss_D_real: -0.016934 Loss_D_fake 0.001873
[1499/5000][365/535][154729] Loss_D: -0.019282 Loss_G: 0.029180 Loss_D_real: -0.016855 Loss_D_fake 0.002426
[1499/5000][370/535][154730] Loss_D: -0.020192 Loss_G: 0.001954 Loss_D_real: -0.014090 Loss_D_fake 0.006102
[1499/5000][375/535][154731] Loss_D: -0.018823 Loss_G: 0.001502 Loss_D_real: -0.012526 Loss_D_fake 0.006297
[1499/5000][380/535][154732] Loss_D: -0.020140 Loss_G: -0.000510 Loss_D_real: -0.019475 Loss_D_fake 0.000664
[1499/5000][385/535][154733] Loss_D: -0.018161 Loss_G: 0.011285 Loss_D_real: -0.022206 Loss_D_fake -0.004044
[1499/5000][390/535][154734] Loss_D: -0.019126 Loss_G: 0.014792 Loss_D_real: -0.030491 Loss_D_fake -0.011364
[1499/5000][395/535][154735] Loss_D: -0.018733 Loss_G: -0.013006 Loss_D_real: -0.006774 Loss_D_fake 0.011959
[1499/5000][400/535][154736] Loss_D: -0.020016 Loss_G: -0.002991 Loss_D_real: -0.009667 Loss_D_fake 0.010348
[1499/5000][405/535][154737] Loss_D: -0.021113 Loss_G: 0.015233 Loss_D_real: -0.016008 Loss_D_fake 0.005104
[1499/5000][410/535][154738] Loss_D: -0.019821 Loss_G: 0.002229 Loss_D_real: -0.007925 Loss_D_fake 0.011896
[1499/5000][415/535][154739] Loss_D: -0.020037 Loss_G: 0.014191 Loss_D_real: -0.011844 Loss_D_fake 0.008193
[1499/5000][420/535][154740] Loss_D: -0.020127 Loss_G: 0.002300 Loss_D_real: 0.001401 Loss_D_fake 0.021529
[1499/5000][425/535][154741] Loss_D: -0.020383 Loss_G: -0.000774 Loss_D_real: -0.009001 Loss_D_fake 0.011382
[1499/5000][430/535][154742] Loss_D: -0.018944 Loss_G: 0.017522 Loss_D_real: -0.024442 Loss_D_fake -0.005498
[1499/5000][435/535][154743] Loss_D: -0.019641 Loss_G: -0.012160 Loss_D_real: -0.000780 Loss_D_fake 0.018861
[1499/5000][440/535][154744] Loss_D: -0.019006 Loss_G: 0.026134 Loss_D_real: -0.017508 Loss_D_fake 0.001498
[1499/5000][445/535][154745] Loss_D: -0.019422 Loss_G: 0.005518 Loss_D_real: -0.025076 Loss_D_fake -0.005654
[1499/5000][450/535][154746] Loss_D: -0.019823 Loss_G: 0.011411 Loss_D_real: -0.003503 Loss_D_fake 0.016320
[1499/5000][455/535][154747] Loss_D: -0.020005 Loss_G: 0.010854 Loss_D_real: -0.019772 Loss_D_fake 0.000233
[1499/5000][460/535][154748] Loss_D: -0.020668 Loss_G: 0.003912 Loss_D_real: -0.008682 Loss_D_fake 0.011986
[1499/5000][465/535][154749] Loss_D: -0.020895 Loss_G: 0.013072 Loss_D_real: -0.020075 Loss_D_fake 0.000820
[1499/5000][470/535][154750] Loss_D: -0.019829 Loss_G: 0.018326 Loss_D_real: -0.016810 Loss_D_fake 0.003019
[1499/5000][475/535][154751] Loss_D: -0.019590 Loss_G: -0.013898 Loss_D_real: -0.005023 Loss_D_fake 0.014566
[1499/5000][480/535][154752] Loss_D: -0.018820 Loss_G: 0.018613 Loss_D_real: -0.026234 Loss_D_fake -0.007413
[1499/5000][485/535][154753] Loss_D: -0.021343 Loss_G: 0.006973 Loss_D_real: -0.017833 Loss_D_fake 0.003510
[1499/5000][490/535][154754] Loss_D: -0.020433 Loss_G: -0.005592 Loss_D_real: -0.012482 Loss_D_fake 0.007951
[1499/5000][495/535][154755] Loss_D: -0.021410 Loss_G: -0.006821 Loss_D_real: -0.000161 Loss_D_fake 0.021249
[1499/5000][500/535][154756] Loss_D: -0.019185 Loss_G: -0.006599 Loss_D_real: -0.008720 Loss_D_fake 0.010465
[1499/5000][505/535][154757] Loss_D: -0.019157 Loss_G: -0.001250 Loss_D_real: -0.013886 Loss_D_fake 0.005270
[1499/5000][510/535][154758] Loss_D: -0.020467 Loss_G: 0.013002 Loss_D_real: -0.026208 Loss_D_fake -0.005741
[1499/5000][515/535][154759] Loss_D: -0.020022 Loss_G: 0.006889 Loss_D_real: -0.012648 Loss_D_fake 0.007373
[1499/5000][520/535][154760] Loss_D: -0.021526 Loss_G: -0.001632 Loss_D_real: -0.010769 Loss_D_fake 0.010757
[1499/5000][525/535][154761] Loss_D: -0.018364 Loss_G: 0.015152 Loss_D_real: -0.029402 Loss_D_fake -0.011038
[1499/5000][530/535][154762] Loss_D: -0.019422 Loss_G: 0.002723 Loss_D_real: -0.011428 Loss_D_fake 0.007994
[1499/5000][535/535][154763] Loss_D: -0.020731 Loss_G: 0.016460 Loss_D_real: -0.009759 Loss_D_fake 0.010972
[1500/5000][5/535][154764] Loss_D: -0.022217 Loss_G: 0.002539 Loss_D_real: -0.017630 Loss_D_fake 0.004587
[1500/5000][10/535][154765] Loss_D: -0.016809 Loss_G: -0.017510 Loss_D_real: 0.009456 Loss_D_fake 0.026265
[1500/5000][15/535][154766] Loss_D: -0.019800 Loss_G: 0.008757 Loss_D_real: -0.017090 Loss_D_fake 0.002710
[1500/5000][20/535][154767] Loss_D: -0.020042 Loss_G: -0.009543 Loss_D_real: -0.007106 Loss_D_fake 0.012937
[1500/5000][25/535][154768] Loss_D: -0.019721 Loss_G: 0.014298 Loss_D_real: -0.015504 Loss_D_fake 0.004217
[1500/5000][30/535][154769] Loss_D: -0.020337 Loss_G: 0.015611 Loss_D_real: -0.020140 Loss_D_fake 0.000197
[1500/5000][35/535][154770] Loss_D: -0.018875 Loss_G: 0.039716 Loss_D_real: -0.031141 Loss_D_fake -0.012266
[1500/5000][40/535][154771] Loss_D: -0.019936 Loss_G: 0.012148 Loss_D_real: -0.021231 Loss_D_fake -0.001295
[1500/5000][45/535][154772] Loss_D: -0.020524 Loss_G: -0.003529 Loss_D_real: -0.006430 Loss_D_fake 0.014094
[1500/5000][50/535][154773] Loss_D: -0.019714 Loss_G: 0.009847 Loss_D_real: -0.024356 Loss_D_fake -0.004642
[1500/5000][55/535][154774] Loss_D: -0.021244 Loss_G: 0.003530 Loss_D_real: -0.008879 Loss_D_fake 0.012365
[1500/5000][60/535][154775] Loss_D: -0.021111 Loss_G: 0.007568 Loss_D_real: -0.011859 Loss_D_fake 0.009252
[1500/5000][65/535][154776] Loss_D: -0.020419 Loss_G: -0.001263 Loss_D_real: -0.013933 Loss_D_fake 0.006485
[1500/5000][70/535][154777] Loss_D: -0.020312 Loss_G: -0.005117 Loss_D_real: -0.001799 Loss_D_fake 0.018513
[1500/5000][75/535][154778] Loss_D: -0.019531 Loss_G: 0.002369 Loss_D_real: -0.014520 Loss_D_fake 0.005010
[1500/5000][80/535][154779] Loss_D: -0.020047 Loss_G: 0.001047 Loss_D_real: -0.011113 Loss_D_fake 0.008934
[1500/5000][85/535][154780] Loss_D: -0.019206 Loss_G: 0.009682 Loss_D_real: -0.014434 Loss_D_fake 0.004772
[1500/5000][90/535][154781] Loss_D: -0.020565 Loss_G: 0.033688 Loss_D_real: -0.020089 Loss_D_fake 0.000476
[1500/5000][95/535][154782] Loss_D: -0.018523 Loss_G: -0.012265 Loss_D_real: 0.000697 Loss_D_fake 0.019220
[1500/5000][100/535][154783] Loss_D: -0.018037 Loss_G: -0.007507 Loss_D_real: -0.000127 Loss_D_fake 0.017910
[1500/5000][105/535][154784] Loss_D: -0.019737 Loss_G: 0.011375 Loss_D_real: -0.022007 Loss_D_fake -0.002270
[1500/5000][110/535][154785] Loss_D: -0.018357 Loss_G: -0.004920 Loss_D_real: -0.019499 Loss_D_fake -0.001142
[1500/5000][115/535][154786] Loss_D: -0.018969 Loss_G: 0.007892 Loss_D_real: -0.018750 Loss_D_fake 0.000219
[1500/5000][120/535][154787] Loss_D: -0.019325 Loss_G: 0.002484 Loss_D_real: -0.011417 Loss_D_fake 0.007908
[1500/5000][125/535][154788] Loss_D: -0.020557 Loss_G: 0.006051 Loss_D_real: -0.024802 Loss_D_fake -0.004245
[1500/5000][130/535][154789] Loss_D: -0.019888 Loss_G: 0.002988 Loss_D_real: -0.012138 Loss_D_fake 0.007750
[1500/5000][135/535][154790] Loss_D: -0.019340 Loss_G: 0.000515 Loss_D_real: -0.015024 Loss_D_fake 0.004316
[1500/5000][140/535][154791] Loss_D: -0.020299 Loss_G: 0.018642 Loss_D_real: -0.024455 Loss_D_fake -0.004156
[1500/5000][145/535][154792] Loss_D: -0.020322 Loss_G: 0.018503 Loss_D_real: -0.014701 Loss_D_fake 0.005621
[1500/5000][150/535][154793] Loss_D: -0.017666 Loss_G: 0.011502 Loss_D_real: -0.021048 Loss_D_fake -0.003381
[1500/5000][155/535][154794] Loss_D: -0.019921 Loss_G: -0.005405 Loss_D_real: -0.011473 Loss_D_fake 0.008448
[1500/5000][160/535][154795] Loss_D: -0.019702 Loss_G: 0.010106 Loss_D_real: -0.021577 Loss_D_fake -0.001875
[1500/5000][165/535][154796] Loss_D: -0.019812 Loss_G: -0.004093 Loss_D_real: -0.012014 Loss_D_fake 0.007798
[1500/5000][170/535][154797] Loss_D: -0.020196 Loss_G: -0.006033 Loss_D_real: -0.011684 Loss_D_fake 0.008512
[1500/5000][175/535][154798] Loss_D: -0.020557 Loss_G: 0.008822 Loss_D_real: -0.002932 Loss_D_fake 0.017625
[1500/5000][180/535][154799] Loss_D: -0.019836 Loss_G: 0.005423 Loss_D_real: -0.009585 Loss_D_fake 0.010251
[1500/5000][185/535][154800] Loss_D: -0.019906 Loss_G: -0.001707 Loss_D_real: -0.004933 Loss_D_fake 0.014973
[1500/5000][190/535][154801] Loss_D: -0.019382 Loss_G: 0.012069 Loss_D_real: -0.024136 Loss_D_fake -0.004753
[1500/5000][195/535][154802] Loss_D: -0.019579 Loss_G: 0.004339 Loss_D_real: -0.012664 Loss_D_fake 0.006915
[1500/5000][200/535][154803] Loss_D: -0.019541 Loss_G: 0.013939 Loss_D_real: -0.019575 Loss_D_fake -0.000035
[1500/5000][205/535][154804] Loss_D: -0.018717 Loss_G: -0.013098 Loss_D_real: -0.011734 Loss_D_fake 0.006983
[1500/5000][210/535][154805] Loss_D: -0.019319 Loss_G: 0.009382 Loss_D_real: -0.025349 Loss_D_fake -0.006030
[1500/5000][215/535][154806] Loss_D: -0.019252 Loss_G: 0.014920 Loss_D_real: -0.019877 Loss_D_fake -0.000625
[1500/5000][220/535][154807] Loss_D: -0.020156 Loss_G: 0.000677 Loss_D_real: 0.000753 Loss_D_fake 0.020909
[1500/5000][225/535][154808] Loss_D: -0.020788 Loss_G: 0.018505 Loss_D_real: -0.009490 Loss_D_fake 0.011298
[1500/5000][230/535][154809] Loss_D: -0.021125 Loss_G: -0.004170 Loss_D_real: -0.013427 Loss_D_fake 0.007698
[1500/5000][235/535][154810] Loss_D: -0.020419 Loss_G: 0.016271 Loss_D_real: -0.008050 Loss_D_fake 0.012370
[1500/5000][240/535][154811] Loss_D: -0.020976 Loss_G: -0.001197 Loss_D_real: -0.013760 Loss_D_fake 0.007216
[1500/5000][245/535][154812] Loss_D: -0.020621 Loss_G: -0.007639 Loss_D_real: -0.003849 Loss_D_fake 0.016771
[1500/5000][250/535][154813] Loss_D: -0.020314 Loss_G: 0.001631 Loss_D_real: -0.011279 Loss_D_fake 0.009035
[1500/5000][255/535][154814] Loss_D: -0.019456 Loss_G: 0.023579 Loss_D_real: -0.024621 Loss_D_fake -0.005165
[1500/5000][260/535][154815] Loss_D: -0.020752 Loss_G: 0.002346 Loss_D_real: -0.006553 Loss_D_fake 0.014199
[1500/5000][265/535][154816] Loss_D: -0.021932 Loss_G: 0.008101 Loss_D_real: -0.011515 Loss_D_fake 0.010417
[1500/5000][270/535][154817] Loss_D: -0.020254 Loss_G: 0.016812 Loss_D_real: -0.037445 Loss_D_fake -0.017191
[1500/5000][275/535][154818] Loss_D: -0.021224 Loss_G: 0.008589 Loss_D_real: -0.006842 Loss_D_fake 0.014382
[1500/5000][280/535][154819] Loss_D: -0.021363 Loss_G: 0.017213 Loss_D_real: -0.019886 Loss_D_fake 0.001477
[1500/5000][285/535][154820] Loss_D: -0.021630 Loss_G: 0.013048 Loss_D_real: -0.009322 Loss_D_fake 0.012307
[1500/5000][290/535][154821] Loss_D: -0.021056 Loss_G: 0.004929 Loss_D_real: -0.015473 Loss_D_fake 0.005583
[1500/5000][295/535][154822] Loss_D: -0.019686 Loss_G: 0.013173 Loss_D_real: -0.025640 Loss_D_fake -0.005954
[1500/5000][300/535][154823] Loss_D: -0.019585 Loss_G: 0.014866 Loss_D_real: -0.019375 Loss_D_fake 0.000211
[1500/5000][305/535][154824] Loss_D: -0.019663 Loss_G: 0.014687 Loss_D_real: -0.013536 Loss_D_fake 0.006126
[1500/5000][310/535][154825] Loss_D: -0.018771 Loss_G: 0.007544 Loss_D_real: -0.017680 Loss_D_fake 0.001091
[1500/5000][315/535][154826] Loss_D: -0.019252 Loss_G: 0.003134 Loss_D_real: -0.023946 Loss_D_fake -0.004694
[1500/5000][320/535][154827] Loss_D: -0.018858 Loss_G: 0.012624 Loss_D_real: -0.028856 Loss_D_fake -0.009998
[1500/5000][325/535][154828] Loss_D: -0.019655 Loss_G: -0.002461 Loss_D_real: -0.014939 Loss_D_fake 0.004716
[1500/5000][330/535][154829] Loss_D: -0.019147 Loss_G: -0.012167 Loss_D_real: -0.020543 Loss_D_fake -0.001396
[1500/5000][335/535][154830] Loss_D: -0.019657 Loss_G: 0.020299 Loss_D_real: -0.022898 Loss_D_fake -0.003241
[1500/5000][340/535][154831] Loss_D: -0.019015 Loss_G: -0.006395 Loss_D_real: -0.002961 Loss_D_fake 0.016054
[1500/5000][345/535][154832] Loss_D: -0.020100 Loss_G: 0.025584 Loss_D_real: -0.030669 Loss_D_fake -0.010569
[1500/5000][350/535][154833] Loss_D: -0.020291 Loss_G: 0.011028 Loss_D_real: -0.015713 Loss_D_fake 0.004578
[1500/5000][355/535][154834] Loss_D: -0.018273 Loss_G: 0.028279 Loss_D_real: -0.027600 Loss_D_fake -0.009327
[1500/5000][360/535][154835] Loss_D: -0.019915 Loss_G: -0.002640 Loss_D_real: -0.008698 Loss_D_fake 0.011217
[1500/5000][365/535][154836] Loss_D: -0.019251 Loss_G: 0.022877 Loss_D_real: -0.018340 Loss_D_fake 0.000911
[1500/5000][370/535][154837] Loss_D: -0.019682 Loss_G: 0.017075 Loss_D_real: -0.019134 Loss_D_fake 0.000548
[1500/5000][375/535][154838] Loss_D: -0.019628 Loss_G: 0.016817 Loss_D_real: -0.023045 Loss_D_fake -0.003417
[1500/5000][380/535][154839] Loss_D: -0.019681 Loss_G: 0.011489 Loss_D_real: -0.017828 Loss_D_fake 0.001853
[1500/5000][385/535][154840] Loss_D: -0.021234 Loss_G: -0.004613 Loss_D_real: -0.007456 Loss_D_fake 0.013777
[1500/5000][390/535][154841] Loss_D: -0.019796 Loss_G: -0.002943 Loss_D_real: -0.012915 Loss_D_fake 0.006882
[1500/5000][395/535][154842] Loss_D: -0.020419 Loss_G: -0.005337 Loss_D_real: -0.005643 Loss_D_fake 0.014776
[1500/5000][400/535][154843] Loss_D: -0.018896 Loss_G: 0.031768 Loss_D_real: -0.026920 Loss_D_fake -0.008025
[1500/5000][405/535][154844] Loss_D: -0.019098 Loss_G: 0.005746 Loss_D_real: -0.007262 Loss_D_fake 0.011836
[1500/5000][410/535][154845] Loss_D: -0.020683 Loss_G: 0.018828 Loss_D_real: -0.019878 Loss_D_fake 0.000805
[1500/5000][415/535][154846] Loss_D: -0.018970 Loss_G: 0.002942 Loss_D_real: -0.012917 Loss_D_fake 0.006053
[1500/5000][420/535][154847] Loss_D: -0.020239 Loss_G: 0.010004 Loss_D_real: -0.020875 Loss_D_fake -0.000635
[1500/5000][425/535][154848] Loss_D: -0.020687 Loss_G: 0.002893 Loss_D_real: -0.028320 Loss_D_fake -0.007633
[1500/5000][430/535][154849] Loss_D: -0.018384 Loss_G: -0.000934 Loss_D_real: -0.010669 Loss_D_fake 0.007716
[1500/5000][435/535][154850] Loss_D: -0.018216 Loss_G: -0.007783 Loss_D_real: -0.007031 Loss_D_fake 0.011185
[1500/5000][440/535][154851] Loss_D: -0.018189 Loss_G: 0.025110 Loss_D_real: -0.033549 Loss_D_fake -0.015360
[1500/5000][445/535][154852] Loss_D: -0.019647 Loss_G: 0.003507 Loss_D_real: -0.013590 Loss_D_fake 0.006057
[1500/5000][450/535][154853] Loss_D: -0.020209 Loss_G: 0.014196 Loss_D_real: -0.021244 Loss_D_fake -0.001035
[1500/5000][455/535][154854] Loss_D: -0.021472 Loss_G: -0.009471 Loss_D_real: -0.010875 Loss_D_fake 0.010597
[1500/5000][460/535][154855] Loss_D: -0.020887 Loss_G: 0.001591 Loss_D_real: -0.003014 Loss_D_fake 0.017873
[1500/5000][465/535][154856] Loss_D: -0.020004 Loss_G: 0.017785 Loss_D_real: -0.026840 Loss_D_fake -0.006836
[1500/5000][470/535][154857] Loss_D: -0.019975 Loss_G: 0.007678 Loss_D_real: -0.021712 Loss_D_fake -0.001737
[1500/5000][475/535][154858] Loss_D: -0.019997 Loss_G: -0.002244 Loss_D_real: 0.005194 Loss_D_fake 0.025190
[1500/5000][480/535][154859] Loss_D: -0.019510 Loss_G: 0.001540 Loss_D_real: -0.008962 Loss_D_fake 0.010548
[1500/5000][485/535][154860] Loss_D: -0.020083 Loss_G: 0.020659 Loss_D_real: -0.015967 Loss_D_fake 0.004116
[1500/5000][490/535][154861] Loss_D: -0.019598 Loss_G: 0.006620 Loss_D_real: -0.017514 Loss_D_fake 0.002084
[1500/5000][495/535][154862] Loss_D: -0.020119 Loss_G: 0.000966 Loss_D_real: -0.006934 Loss_D_fake 0.013185
[1500/5000][500/535][154863] Loss_D: -0.019189 Loss_G: 0.022224 Loss_D_real: -0.027973 Loss_D_fake -0.008784
[1500/5000][505/535][154864] Loss_D: -0.020032 Loss_G: 0.020110 Loss_D_real: -0.025478 Loss_D_fake -0.005445
[1500/5000][510/535][154865] Loss_D: -0.020653 Loss_G: -0.000007 Loss_D_real: -0.014814 Loss_D_fake 0.005839
[1500/5000][515/535][154866] Loss_D: -0.020821 Loss_G: -0.007105 Loss_D_real: -0.008924 Loss_D_fake 0.011897
[1500/5000][520/535][154867] Loss_D: -0.019067 Loss_G: 0.013253 Loss_D_real: -0.024686 Loss_D_fake -0.005620
[1500/5000][525/535][154868] Loss_D: -0.020059 Loss_G: 0.024022 Loss_D_real: -0.017682 Loss_D_fake 0.002377
[1500/5000][530/535][154869] Loss_D: -0.020011 Loss_G: 0.000469 Loss_D_real: -0.019259 Loss_D_fake 0.000752
[1500/5000][535/535][154870] Loss_D: -0.018116 Loss_G: 0.002788 Loss_D_real: -0.029207 Loss_D_fake -0.011091
[1501/5000][5/535][154871] Loss_D: -0.020062 Loss_G: 0.018713 Loss_D_real: -0.021277 Loss_D_fake -0.001214
[1501/5000][10/535][154872] Loss_D: -0.019717 Loss_G: 0.001461 Loss_D_real: -0.019128 Loss_D_fake 0.000588
[1501/5000][15/535][154873] Loss_D: -0.019723 Loss_G: 0.010296 Loss_D_real: -0.020103 Loss_D_fake -0.000381
[1501/5000][20/535][154874] Loss_D: -0.020177 Loss_G: 0.012875 Loss_D_real: -0.026073 Loss_D_fake -0.005896
[1501/5000][25/535][154875] Loss_D: -0.019546 Loss_G: 0.009713 Loss_D_real: -0.012372 Loss_D_fake 0.007174
[1501/5000][30/535][154876] Loss_D: -0.018385 Loss_G: 0.024524 Loss_D_real: -0.022192 Loss_D_fake -0.003807
[1501/5000][35/535][154877] Loss_D: -0.019496 Loss_G: 0.007375 Loss_D_real: -0.020013 Loss_D_fake -0.000517
[1501/5000][40/535][154878] Loss_D: -0.017028 Loss_G: -0.003023 Loss_D_real: -0.005533 Loss_D_fake 0.011494
[1501/5000][45/535][154879] Loss_D: -0.020925 Loss_G: 0.002903 Loss_D_real: -0.007105 Loss_D_fake 0.013820
[1501/5000][50/535][154880] Loss_D: -0.019051 Loss_G: -0.002243 Loss_D_real: 0.009442 Loss_D_fake 0.028493
[1501/5000][55/535][154881] Loss_D: -0.018104 Loss_G: -0.005487 Loss_D_real: -0.022908 Loss_D_fake -0.004803
[1501/5000][60/535][154882] Loss_D: -0.019117 Loss_G: 0.014603 Loss_D_real: -0.015786 Loss_D_fake 0.003332
[1501/5000][65/535][154883] Loss_D: -0.019197 Loss_G: -0.007674 Loss_D_real: 0.002182 Loss_D_fake 0.021379
[1501/5000][70/535][154884] Loss_D: -0.018922 Loss_G: -0.004820 Loss_D_real: -0.017706 Loss_D_fake 0.001216
[1501/5000][75/535][154885] Loss_D: -0.019984 Loss_G: 0.020850 Loss_D_real: -0.021177 Loss_D_fake -0.001193
[1501/5000][80/535][154886] Loss_D: -0.020216 Loss_G: -0.002694 Loss_D_real: -0.013261 Loss_D_fake 0.006955
[1501/5000][85/535][154887] Loss_D: -0.018721 Loss_G: 0.015602 Loss_D_real: -0.033134 Loss_D_fake -0.014414
[1501/5000][90/535][154888] Loss_D: -0.019794 Loss_G: 0.007995 Loss_D_real: -0.017654 Loss_D_fake 0.002141
[1501/5000][95/535][154889] Loss_D: -0.019072 Loss_G: 0.005282 Loss_D_real: -0.004497 Loss_D_fake 0.014575
[1501/5000][100/535][154890] Loss_D: -0.019177 Loss_G: 0.020813 Loss_D_real: -0.026185 Loss_D_fake -0.007008
[1501/5000][105/535][154891] Loss_D: -0.020044 Loss_G: 0.014648 Loss_D_real: -0.022637 Loss_D_fake -0.002594
[1501/5000][110/535][154892] Loss_D: -0.019556 Loss_G: 0.014127 Loss_D_real: -0.014190 Loss_D_fake 0.005366
[1501/5000][115/535][154893] Loss_D: -0.020480 Loss_G: 0.005215 Loss_D_real: -0.017559 Loss_D_fake 0.002920
[1501/5000][120/535][154894] Loss_D: -0.019908 Loss_G: 0.009655 Loss_D_real: -0.013069 Loss_D_fake 0.006839
[1501/5000][125/535][154895] Loss_D: -0.019566 Loss_G: -0.013549 Loss_D_real: 0.004578 Loss_D_fake 0.024144
[1501/5000][130/535][154896] Loss_D: -0.020467 Loss_G: 0.018440 Loss_D_real: -0.006222 Loss_D_fake 0.014245
[1501/5000][135/535][154897] Loss_D: -0.021881 Loss_G: 0.009434 Loss_D_real: -0.035971 Loss_D_fake -0.014090
[1501/5000][140/535][154898] Loss_D: -0.019645 Loss_G: 0.014661 Loss_D_real: -0.015342 Loss_D_fake 0.004303
[1501/5000][145/535][154899] Loss_D: -0.019485 Loss_G: 0.022423 Loss_D_real: -0.030486 Loss_D_fake -0.011001
[1501/5000][150/535][154900] Loss_D: -0.020485 Loss_G: 0.010783 Loss_D_real: -0.027618 Loss_D_fake -0.007134
[1501/5000][155/535][154901] Loss_D: -0.020797 Loss_G: 0.001042 Loss_D_real: -0.025968 Loss_D_fake -0.005171
[1501/5000][160/535][154902] Loss_D: -0.021225 Loss_G: 0.018095 Loss_D_real: -0.017654 Loss_D_fake 0.003571
[1501/5000][165/535][154903] Loss_D: -0.020308 Loss_G: 0.011151 Loss_D_real: -0.020914 Loss_D_fake -0.000606
[1501/5000][170/535][154904] Loss_D: -0.020090 Loss_G: 0.021821 Loss_D_real: -0.018104 Loss_D_fake 0.001986
[1501/5000][175/535][154905] Loss_D: -0.019035 Loss_G: 0.006187 Loss_D_real: -0.010989 Loss_D_fake 0.008046
[1501/5000][180/535][154906] Loss_D: -0.019769 Loss_G: -0.001930 Loss_D_real: 0.000773 Loss_D_fake 0.020543
[1501/5000][185/535][154907] Loss_D: -0.019332 Loss_G: -0.004286 Loss_D_real: -0.001462 Loss_D_fake 0.017871
[1501/5000][190/535][154908] Loss_D: -0.020424 Loss_G: 0.013083 Loss_D_real: -0.017263 Loss_D_fake 0.003161
[1501/5000][195/535][154909] Loss_D: -0.019783 Loss_G: 0.007914 Loss_D_real: -0.017319 Loss_D_fake 0.002464
[1501/5000][200/535][154910] Loss_D: -0.020124 Loss_G: -0.003330 Loss_D_real: -0.018781 Loss_D_fake 0.001343
[1501/5000][205/535][154911] Loss_D: -0.021162 Loss_G: 0.010013 Loss_D_real: -0.010088 Loss_D_fake 0.011074
[1501/5000][210/535][154912] Loss_D: -0.019742 Loss_G: 0.012765 Loss_D_real: -0.019044 Loss_D_fake 0.000698
[1501/5000][215/535][154913] Loss_D: -0.020301 Loss_G: 0.024831 Loss_D_real: -0.019711 Loss_D_fake 0.000590
[1501/5000][220/535][154914] Loss_D: -0.020185 Loss_G: -0.008338 Loss_D_real: -0.012687 Loss_D_fake 0.007499
[1501/5000][225/535][154915] Loss_D: -0.019317 Loss_G: 0.003727 Loss_D_real: -0.014226 Loss_D_fake 0.005091
[1501/5000][230/535][154916] Loss_D: -0.018292 Loss_G: -0.009178 Loss_D_real: -0.015587 Loss_D_fake 0.002706
[1501/5000][235/535][154917] Loss_D: -0.020314 Loss_G: 0.003864 Loss_D_real: -0.008101 Loss_D_fake 0.012213
[1501/5000][240/535][154918] Loss_D: -0.020468 Loss_G: -0.004851 Loss_D_real: -0.011540 Loss_D_fake 0.008929
[1501/5000][245/535][154919] Loss_D: -0.019811 Loss_G: 0.007730 Loss_D_real: -0.014309 Loss_D_fake 0.005503
[1501/5000][250/535][154920] Loss_D: -0.019168 Loss_G: 0.008772 Loss_D_real: -0.015385 Loss_D_fake 0.003784
[1501/5000][255/535][154921] Loss_D: -0.020435 Loss_G: 0.002642 Loss_D_real: -0.010850 Loss_D_fake 0.009585
[1501/5000][260/535][154922] Loss_D: -0.019386 Loss_G: 0.021433 Loss_D_real: -0.021895 Loss_D_fake -0.002509
[1501/5000][265/535][154923] Loss_D: -0.020592 Loss_G: 0.028989 Loss_D_real: -0.019393 Loss_D_fake 0.001199
[1501/5000][270/535][154924] Loss_D: -0.019127 Loss_G: 0.006804 Loss_D_real: -0.014336 Loss_D_fake 0.004791
[1501/5000][275/535][154925] Loss_D: -0.021060 Loss_G: -0.009192 Loss_D_real: -0.003746 Loss_D_fake 0.017315
[1501/5000][280/535][154926] Loss_D: -0.020083 Loss_G: -0.000457 Loss_D_real: -0.020443 Loss_D_fake -0.000360
[1501/5000][285/535][154927] Loss_D: -0.019850 Loss_G: 0.007048 Loss_D_real: -0.019414 Loss_D_fake 0.000436
[1501/5000][290/535][154928] Loss_D: -0.020343 Loss_G: 0.009596 Loss_D_real: -0.011848 Loss_D_fake 0.008495
[1501/5000][295/535][154929] Loss_D: -0.020144 Loss_G: 0.008120 Loss_D_real: -0.027890 Loss_D_fake -0.007746
[1501/5000][300/535][154930] Loss_D: -0.020170 Loss_G: 0.013464 Loss_D_real: -0.024480 Loss_D_fake -0.004309
[1501/5000][305/535][154931] Loss_D: -0.020222 Loss_G: 0.009335 Loss_D_real: -0.010811 Loss_D_fake 0.009411
[1501/5000][310/535][154932] Loss_D: -0.020843 Loss_G: 0.018897 Loss_D_real: -0.021620 Loss_D_fake -0.000776
[1501/5000][315/535][154933] Loss_D: -0.021730 Loss_G: -0.011196 Loss_D_real: -0.002694 Loss_D_fake 0.019035
[1501/5000][320/535][154934] Loss_D: -0.020496 Loss_G: 0.018141 Loss_D_real: -0.012843 Loss_D_fake 0.007653
[1501/5000][325/535][154935] Loss_D: -0.020610 Loss_G: -0.000308 Loss_D_real: -0.022365 Loss_D_fake -0.001755
[1501/5000][330/535][154936] Loss_D: -0.021508 Loss_G: 0.021105 Loss_D_real: -0.021530 Loss_D_fake -0.000023
[1501/5000][335/535][154937] Loss_D: -0.021407 Loss_G: 0.009462 Loss_D_real: -0.020705 Loss_D_fake 0.000702
[1501/5000][340/535][154938] Loss_D: -0.019816 Loss_G: 0.022141 Loss_D_real: -0.019687 Loss_D_fake 0.000128
[1501/5000][345/535][154939] Loss_D: -0.021460 Loss_G: -0.003709 Loss_D_real: -0.016150 Loss_D_fake 0.005310
[1501/5000][350/535][154940] Loss_D: -0.020594 Loss_G: 0.009627 Loss_D_real: -0.019754 Loss_D_fake 0.000840
[1501/5000][355/535][154941] Loss_D: -0.022630 Loss_G: 0.006023 Loss_D_real: -0.013512 Loss_D_fake 0.009118
[1501/5000][360/535][154942] Loss_D: -0.019920 Loss_G: -0.010899 Loss_D_real: -0.009478 Loss_D_fake 0.010442
[1501/5000][365/535][154943] Loss_D: -0.019935 Loss_G: 0.014577 Loss_D_real: -0.022233 Loss_D_fake -0.002299
[1501/5000][370/535][154944] Loss_D: -0.019489 Loss_G: -0.011285 Loss_D_real: -0.002658 Loss_D_fake 0.016831
[1501/5000][375/535][154945] Loss_D: -0.020690 Loss_G: 0.022292 Loss_D_real: -0.020287 Loss_D_fake 0.000403
[1501/5000][380/535][154946] Loss_D: -0.021790 Loss_G: 0.006161 Loss_D_real: -0.007706 Loss_D_fake 0.014084
[1501/5000][385/535][154947] Loss_D: -0.020843 Loss_G: -0.006366 Loss_D_real: -0.008933 Loss_D_fake 0.011910
[1501/5000][390/535][154948] Loss_D: -0.020697 Loss_G: 0.012363 Loss_D_real: -0.016165 Loss_D_fake 0.004532
[1501/5000][395/535][154949] Loss_D: -0.019321 Loss_G: 0.031473 Loss_D_real: -0.017640 Loss_D_fake 0.001681
[1501/5000][400/535][154950] Loss_D: -0.019013 Loss_G: 0.023964 Loss_D_real: -0.037483 Loss_D_fake -0.018470
[1501/5000][405/535][154951] Loss_D: -0.019816 Loss_G: 0.015345 Loss_D_real: -0.032965 Loss_D_fake -0.013148
[1501/5000][410/535][154952] Loss_D: -0.020109 Loss_G: 0.002097 Loss_D_real: -0.017558 Loss_D_fake 0.002551
[1501/5000][415/535][154953] Loss_D: -0.019565 Loss_G: 0.012678 Loss_D_real: -0.015994 Loss_D_fake 0.003572
[1501/5000][420/535][154954] Loss_D: -0.019177 Loss_G: 0.019463 Loss_D_real: -0.032338 Loss_D_fake -0.013161
[1501/5000][425/535][154955] Loss_D: -0.019135 Loss_G: -0.016528 Loss_D_real: -0.006359 Loss_D_fake 0.012776
[1501/5000][430/535][154956] Loss_D: -0.019968 Loss_G: -0.006138 Loss_D_real: -0.012244 Loss_D_fake 0.007724
[1501/5000][435/535][154957] Loss_D: -0.018788 Loss_G: 0.007599 Loss_D_real: -0.025573 Loss_D_fake -0.006785
[1501/5000][440/535][154958] Loss_D: -0.021017 Loss_G: 0.012401 Loss_D_real: -0.021021 Loss_D_fake -0.000004
[1501/5000][445/535][154959] Loss_D: -0.020360 Loss_G: 0.008185 Loss_D_real: -0.008816 Loss_D_fake 0.011544
[1501/5000][450/535][154960] Loss_D: -0.019910 Loss_G: 0.009322 Loss_D_real: -0.022415 Loss_D_fake -0.002505
[1501/5000][455/535][154961] Loss_D: -0.020609 Loss_G: 0.006687 Loss_D_real: -0.012728 Loss_D_fake 0.007881
[1501/5000][460/535][154962] Loss_D: -0.020105 Loss_G: -0.007271 Loss_D_real: -0.001609 Loss_D_fake 0.018496
[1501/5000][465/535][154963] Loss_D: -0.019177 Loss_G: 0.017685 Loss_D_real: -0.022663 Loss_D_fake -0.003486
[1501/5000][470/535][154964] Loss_D: -0.019350 Loss_G: -0.002953 Loss_D_real: -0.005076 Loss_D_fake 0.014274
[1501/5000][475/535][154965] Loss_D: -0.018606 Loss_G: 0.012834 Loss_D_real: -0.026953 Loss_D_fake -0.008346
[1501/5000][480/535][154966] Loss_D: -0.020012 Loss_G: 0.020999 Loss_D_real: -0.013093 Loss_D_fake 0.006919
[1501/5000][485/535][154967] Loss_D: -0.020219 Loss_G: -0.004350 Loss_D_real: -0.004974 Loss_D_fake 0.015245
[1501/5000][490/535][154968] Loss_D: -0.020854 Loss_G: 0.005519 Loss_D_real: -0.014557 Loss_D_fake 0.006296
[1501/5000][495/535][154969] Loss_D: -0.020379 Loss_G: -0.007965 Loss_D_real: -0.013730 Loss_D_fake 0.006648
[1501/5000][500/535][154970] Loss_D: -0.019298 Loss_G: -0.009030 Loss_D_real: -0.004123 Loss_D_fake 0.015175
[1501/5000][505/535][154971] Loss_D: -0.019508 Loss_G: 0.012540 Loss_D_real: -0.011098 Loss_D_fake 0.008411
[1501/5000][510/535][154972] Loss_D: -0.019980 Loss_G: -0.002060 Loss_D_real: -0.013938 Loss_D_fake 0.006042
[1501/5000][515/535][154973] Loss_D: -0.020414 Loss_G: 0.013766 Loss_D_real: -0.026072 Loss_D_fake -0.005658
[1501/5000][520/535][154974] Loss_D: -0.018875 Loss_G: 0.020250 Loss_D_real: -0.030708 Loss_D_fake -0.011833
[1501/5000][525/535][154975] Loss_D: -0.019046 Loss_G: 0.026281 Loss_D_real: -0.028605 Loss_D_fake -0.009559
[1501/5000][530/535][154976] Loss_D: -0.020393 Loss_G: -0.006200 Loss_D_real: -0.006092 Loss_D_fake 0.014301
[1501/5000][535/535][154977] Loss_D: -0.021665 Loss_G: 0.004512 Loss_D_real: -0.024578 Loss_D_fake -0.002913
[1502/5000][5/535][154978] Loss_D: -0.019652 Loss_G: 0.003933 Loss_D_real: -0.015913 Loss_D_fake 0.003739
[1502/5000][10/535][154979] Loss_D: -0.020265 Loss_G: 0.010717 Loss_D_real: -0.013817 Loss_D_fake 0.006448
[1502/5000][15/535][154980] Loss_D: -0.017950 Loss_G: -0.015810 Loss_D_real: -0.001113 Loss_D_fake 0.016837
[1502/5000][20/535][154981] Loss_D: -0.019303 Loss_G: 0.007885 Loss_D_real: -0.007012 Loss_D_fake 0.012291
[1502/5000][25/535][154982] Loss_D: -0.019487 Loss_G: 0.002391 Loss_D_real: -0.023600 Loss_D_fake -0.004112
[1502/5000][30/535][154983] Loss_D: -0.019170 Loss_G: 0.019468 Loss_D_real: -0.024479 Loss_D_fake -0.005309
[1502/5000][35/535][154984] Loss_D: -0.017075 Loss_G: -0.009820 Loss_D_real: 0.000182 Loss_D_fake 0.017257
[1502/5000][40/535][154985] Loss_D: -0.019136 Loss_G: -0.005240 Loss_D_real: -0.002373 Loss_D_fake 0.016763
[1502/5000][45/535][154986] Loss_D: -0.019828 Loss_G: 0.001229 Loss_D_real: -0.011668 Loss_D_fake 0.008160
[1502/5000][50/535][154987] Loss_D: -0.020747 Loss_G: 0.016184 Loss_D_real: -0.014383 Loss_D_fake 0.006364
[1502/5000][55/535][154988] Loss_D: -0.020132 Loss_G: 0.016302 Loss_D_real: -0.021396 Loss_D_fake -0.001264
[1502/5000][60/535][154989] Loss_D: -0.019917 Loss_G: -0.003569 Loss_D_real: -0.022854 Loss_D_fake -0.002937
[1502/5000][65/535][154990] Loss_D: -0.019546 Loss_G: 0.005100 Loss_D_real: -0.025754 Loss_D_fake -0.006208
[1502/5000][70/535][154991] Loss_D: -0.019985 Loss_G: -0.001676 Loss_D_real: -0.019912 Loss_D_fake 0.000073
[1502/5000][75/535][154992] Loss_D: -0.019935 Loss_G: 0.012058 Loss_D_real: -0.005719 Loss_D_fake 0.014217
[1502/5000][80/535][154993] Loss_D: -0.019234 Loss_G: -0.002113 Loss_D_real: -0.015059 Loss_D_fake 0.004175
[1502/5000][85/535][154994] Loss_D: -0.020577 Loss_G: 0.005609 Loss_D_real: -0.010644 Loss_D_fake 0.009933
[1502/5000][90/535][154995] Loss_D: -0.020331 Loss_G: 0.002223 Loss_D_real: -0.015113 Loss_D_fake 0.005219
[1502/5000][95/535][154996] Loss_D: -0.020031 Loss_G: 0.010437 Loss_D_real: -0.010451 Loss_D_fake 0.009580
[1502/5000][100/535][154997] Loss_D: -0.021413 Loss_G: 0.010683 Loss_D_real: -0.031506 Loss_D_fake -0.010093
[1502/5000][105/535][154998] Loss_D: -0.019133 Loss_G: 0.011114 Loss_D_real: -0.025746 Loss_D_fake -0.006613
[1502/5000][110/535][154999] Loss_D: -0.019588 Loss_G: 0.014623 Loss_D_real: -0.025165 Loss_D_fake -0.005577
[1502/5000][115/535][155000] Loss_D: -0.019944 Loss_G: -0.004557 Loss_D_real: -0.010552 Loss_D_fake 0.009392
[1502/5000][215/535][155001] Loss_D: -0.022113 Loss_G: -0.008508 Loss_D_real: 0.004503 Loss_D_fake 0.026616
[1502/5000][220/535][155002] Loss_D: -0.021620 Loss_G: 0.001178 Loss_D_real: -0.018588 Loss_D_fake 0.003032
[1502/5000][225/535][155003] Loss_D: -0.018958 Loss_G: -0.005250 Loss_D_real: -0.002330 Loss_D_fake 0.016628
[1502/5000][230/535][155004] Loss_D: -0.018624 Loss_G: -0.006790 Loss_D_real: -0.000811 Loss_D_fake 0.017813
[1502/5000][235/535][155005] Loss_D: -0.018525 Loss_G: 0.004337 Loss_D_real: -0.007641 Loss_D_fake 0.010884
[1502/5000][240/535][155006] Loss_D: -0.019260 Loss_G: 0.016610 Loss_D_real: -0.022024 Loss_D_fake -0.002764
[1502/5000][245/535][155007] Loss_D: -0.018628 Loss_G: -0.009146 Loss_D_real: 0.009618 Loss_D_fake 0.028246
[1502/5000][250/535][155008] Loss_D: -0.020271 Loss_G: 0.003436 Loss_D_real: 0.001423 Loss_D_fake 0.021694
[1502/5000][255/535][155009] Loss_D: -0.018901 Loss_G: 0.002399 Loss_D_real: -0.019314 Loss_D_fake -0.000413
[1502/5000][260/535][155010] Loss_D: -0.019317 Loss_G: 0.018472 Loss_D_real: -0.017877 Loss_D_fake 0.001440
[1502/5000][265/535][155011] Loss_D: -0.019704 Loss_G: 0.015369 Loss_D_real: -0.020914 Loss_D_fake -0.001210
[1502/5000][270/535][155012] Loss_D: -0.019069 Loss_G: 0.005609 Loss_D_real: -0.008562 Loss_D_fake 0.010507
[1502/5000][275/535][155013] Loss_D: -0.020023 Loss_G: 0.012156 Loss_D_real: -0.019376 Loss_D_fake 0.000646
[1502/5000][280/535][155014] Loss_D: -0.020040 Loss_G: -0.020070 Loss_D_real: -0.005694 Loss_D_fake 0.014346
[1502/5000][285/535][155015] Loss_D: -0.019402 Loss_G: -0.005857 Loss_D_real: -0.006471 Loss_D_fake 0.012931
[1502/5000][290/535][155016] Loss_D: -0.020513 Loss_G: 0.004018 Loss_D_real: -0.011076 Loss_D_fake 0.009437
[1502/5000][295/535][155017] Loss_D: -0.020844 Loss_G: 0.018502 Loss_D_real: -0.028237 Loss_D_fake -0.007393
[1502/5000][300/535][155018] Loss_D: -0.019325 Loss_G: 0.021292 Loss_D_real: -0.031740 Loss_D_fake -0.012415
[1502/5000][305/535][155019] Loss_D: -0.021086 Loss_G: 0.006481 Loss_D_real: -0.018392 Loss_D_fake 0.002694
[1502/5000][310/535][155020] Loss_D: -0.019004 Loss_G: 0.004517 Loss_D_real: -0.010716 Loss_D_fake 0.008288
[1502/5000][315/535][155021] Loss_D: -0.020045 Loss_G: 0.014473 Loss_D_real: -0.016806 Loss_D_fake 0.003239
[1502/5000][320/535][155022] Loss_D: -0.019701 Loss_G: 0.014821 Loss_D_real: -0.022432 Loss_D_fake -0.002731
[1502/5000][325/535][155023] Loss_D: -0.020284 Loss_G: -0.017623 Loss_D_real: -0.005892 Loss_D_fake 0.014392
[1502/5000][330/535][155024] Loss_D: -0.019329 Loss_G: 0.018535 Loss_D_real: -0.027820 Loss_D_fake -0.008491
[1502/5000][335/535][155025] Loss_D: -0.021847 Loss_G: 0.008655 Loss_D_real: -0.018808 Loss_D_fake 0.003039
[1502/5000][340/535][155026] Loss_D: -0.021088 Loss_G: 0.006027 Loss_D_real: -0.008531 Loss_D_fake 0.012556
[1502/5000][345/535][155027] Loss_D: -0.020748 Loss_G: 0.007091 Loss_D_real: 0.001499 Loss_D_fake 0.022247
[1502/5000][350/535][155028] Loss_D: -0.020828 Loss_G: 0.007076 Loss_D_real: -0.013005 Loss_D_fake 0.007823
[1502/5000][355/535][155029] Loss_D: -0.017491 Loss_G: 0.020798 Loss_D_real: -0.032498 Loss_D_fake -0.015008
[1502/5000][360/535][155030] Loss_D: -0.020371 Loss_G: 0.000293 Loss_D_real: -0.008597 Loss_D_fake 0.011774
[1502/5000][365/535][155031] Loss_D: -0.021140 Loss_G: 0.001738 Loss_D_real: -0.011868 Loss_D_fake 0.009273
[1502/5000][370/535][155032] Loss_D: -0.020475 Loss_G: 0.016753 Loss_D_real: -0.018039 Loss_D_fake 0.002436
[1502/5000][375/535][155033] Loss_D: -0.019513 Loss_G: -0.005466 Loss_D_real: 0.000226 Loss_D_fake 0.019739
[1502/5000][380/535][155034] Loss_D: -0.019525 Loss_G: 0.008981 Loss_D_real: -0.007976 Loss_D_fake 0.011549
[1502/5000][385/535][155035] Loss_D: -0.020206 Loss_G: 0.011823 Loss_D_real: -0.006334 Loss_D_fake 0.013872
[1502/5000][390/535][155036] Loss_D: -0.019138 Loss_G: 0.011821 Loss_D_real: -0.017467 Loss_D_fake 0.001671
[1502/5000][395/535][155037] Loss_D: -0.019359 Loss_G: 0.004282 Loss_D_real: -0.024946 Loss_D_fake -0.005587
[1502/5000][400/535][155038] Loss_D: -0.020096 Loss_G: -0.000866 Loss_D_real: -0.022414 Loss_D_fake -0.002318
[1502/5000][405/535][155039] Loss_D: -0.019439 Loss_G: 0.008196 Loss_D_real: -0.015045 Loss_D_fake 0.004394
[1502/5000][410/535][155040] Loss_D: -0.020213 Loss_G: 0.001378 Loss_D_real: -0.015376 Loss_D_fake 0.004837
[1502/5000][415/535][155041] Loss_D: -0.020401 Loss_G: 0.022109 Loss_D_real: -0.019742 Loss_D_fake 0.000660
[1502/5000][420/535][155042] Loss_D: -0.019537 Loss_G: 0.008401 Loss_D_real: -0.023201 Loss_D_fake -0.003664
[1502/5000][425/535][155043] Loss_D: -0.019181 Loss_G: -0.007347 Loss_D_real: -0.012551 Loss_D_fake 0.006630
[1502/5000][430/535][155044] Loss_D: -0.020740 Loss_G: 0.014650 Loss_D_real: -0.020295 Loss_D_fake 0.000445
[1502/5000][435/535][155045] Loss_D: -0.017570 Loss_G: -0.019071 Loss_D_real: 0.004821 Loss_D_fake 0.022391
[1502/5000][440/535][155046] Loss_D: -0.019436 Loss_G: 0.019101 Loss_D_real: -0.026374 Loss_D_fake -0.006938
[1502/5000][445/535][155047] Loss_D: -0.019052 Loss_G: 0.023704 Loss_D_real: -0.013436 Loss_D_fake 0.005616
[1502/5000][450/535][155048] Loss_D: -0.019413 Loss_G: 0.009055 Loss_D_real: -0.021291 Loss_D_fake -0.001879
[1502/5000][455/535][155049] Loss_D: -0.018847 Loss_G: 0.023463 Loss_D_real: -0.015989 Loss_D_fake 0.002858
[1502/5000][460/535][155050] Loss_D: -0.020188 Loss_G: 0.002378 Loss_D_real: -0.013701 Loss_D_fake 0.006487
[1502/5000][465/535][155051] Loss_D: -0.018850 Loss_G: 0.003182 Loss_D_real: -0.005685 Loss_D_fake 0.013165
[1502/5000][470/535][155052] Loss_D: -0.020753 Loss_G: 0.000476 Loss_D_real: -0.016403 Loss_D_fake 0.004351
[1502/5000][475/535][155053] Loss_D: -0.019180 Loss_G: -0.013836 Loss_D_real: -0.006700 Loss_D_fake 0.012480
[1502/5000][480/535][155054] Loss_D: -0.019851 Loss_G: 0.002193 Loss_D_real: -0.015425 Loss_D_fake 0.004426
[1502/5000][485/535][155055] Loss_D: -0.019834 Loss_G: 0.022665 Loss_D_real: -0.025682 Loss_D_fake -0.005848
[1502/5000][490/535][155056] Loss_D: -0.021062 Loss_G: 0.009404 Loss_D_real: -0.020061 Loss_D_fake 0.001001
[1502/5000][495/535][155057] Loss_D: -0.021718 Loss_G: 0.010799 Loss_D_real: -0.015802 Loss_D_fake 0.005916
[1502/5000][500/535][155058] Loss_D: -0.020349 Loss_G: 0.001857 Loss_D_real: -0.011637 Loss_D_fake 0.008713
[1502/5000][505/535][155059] Loss_D: -0.020426 Loss_G: 0.007380 Loss_D_real: -0.014266 Loss_D_fake 0.006160
[1502/5000][510/535][155060] Loss_D: -0.020241 Loss_G: -0.013239 Loss_D_real: 0.000055 Loss_D_fake 0.020296
[1502/5000][515/535][155061] Loss_D: -0.019971 Loss_G: 0.017585 Loss_D_real: -0.027778 Loss_D_fake -0.007807
[1502/5000][520/535][155062] Loss_D: -0.020210 Loss_G: -0.006674 Loss_D_real: 0.000736 Loss_D_fake 0.020946
[1502/5000][525/535][155063] Loss_D: -0.019281 Loss_G: -0.011143 Loss_D_real: -0.003106 Loss_D_fake 0.016175
[1502/5000][530/535][155064] Loss_D: -0.019969 Loss_G: 0.014406 Loss_D_real: -0.010413 Loss_D_fake 0.009557
[1502/5000][535/535][155065] Loss_D: -0.024145 Loss_G: 0.017657 Loss_D_real: -0.023154 Loss_D_fake 0.000992
[1503/5000][5/535][155066] Loss_D: -0.020777 Loss_G: -0.006184 Loss_D_real: -0.014039 Loss_D_fake 0.006737
[1503/5000][10/535][155067] Loss_D: -0.019788 Loss_G: -0.001044 Loss_D_real: -0.015443 Loss_D_fake 0.004345
[1503/5000][15/535][155068] Loss_D: -0.019649 Loss_G: 0.016496 Loss_D_real: -0.012437 Loss_D_fake 0.007212
[1503/5000][20/535][155069] Loss_D: -0.017232 Loss_G: 0.021784 Loss_D_real: -0.026812 Loss_D_fake -0.009580
[1503/5000][25/535][155070] Loss_D: -0.019500 Loss_G: 0.007878 Loss_D_real: -0.013599 Loss_D_fake 0.005901
[1503/5000][30/535][155071] Loss_D: -0.019966 Loss_G: 0.013177 Loss_D_real: -0.022676 Loss_D_fake -0.002710
[1503/5000][35/535][155072] Loss_D: -0.019501 Loss_G: 0.018353 Loss_D_real: -0.035436 Loss_D_fake -0.015936
[1503/5000][40/535][155073] Loss_D: -0.019957 Loss_G: -0.004208 Loss_D_real: -0.010082 Loss_D_fake 0.009875
[1503/5000][45/535][155074] Loss_D: -0.019909 Loss_G: 0.004140 Loss_D_real: -0.015048 Loss_D_fake 0.004860
[1503/5000][50/535][155075] Loss_D: -0.021069 Loss_G: 0.017972 Loss_D_real: -0.025776 Loss_D_fake -0.004707
[1503/5000][55/535][155076] Loss_D: -0.020082 Loss_G: 0.010047 Loss_D_real: -0.010748 Loss_D_fake 0.009333
[1503/5000][60/535][155077] Loss_D: -0.019579 Loss_G: -0.008963 Loss_D_real: -0.003776 Loss_D_fake 0.015803
[1503/5000][65/535][155078] Loss_D: -0.019738 Loss_G: 0.001272 Loss_D_real: -0.019582 Loss_D_fake 0.000156
[1503/5000][70/535][155079] Loss_D: -0.020287 Loss_G: 0.009015 Loss_D_real: -0.020522 Loss_D_fake -0.000235
[1503/5000][75/535][155080] Loss_D: -0.019323 Loss_G: 0.006309 Loss_D_real: -0.020090 Loss_D_fake -0.000767
[1503/5000][80/535][155081] Loss_D: -0.019122 Loss_G: 0.007918 Loss_D_real: -0.022660 Loss_D_fake -0.003538
[1503/5000][85/535][155082] Loss_D: -0.019826 Loss_G: 0.011821 Loss_D_real: -0.013841 Loss_D_fake 0.005985
[1503/5000][90/535][155083] Loss_D: -0.018996 Loss_G: 0.015542 Loss_D_real: -0.002580 Loss_D_fake 0.016416
[1503/5000][95/535][155084] Loss_D: -0.019840 Loss_G: 0.015820 Loss_D_real: -0.023045 Loss_D_fake -0.003205
[1503/5000][100/535][155085] Loss_D: -0.019345 Loss_G: -0.014988 Loss_D_real: -0.006761 Loss_D_fake 0.012584
[1503/5000][105/535][155086] Loss_D: -0.020205 Loss_G: 0.006747 Loss_D_real: -0.012650 Loss_D_fake 0.007555
[1503/5000][110/535][155087] Loss_D: -0.019808 Loss_G: 0.023527 Loss_D_real: -0.015575 Loss_D_fake 0.004233
[1503/5000][115/535][155088] Loss_D: -0.020031 Loss_G: -0.000488 Loss_D_real: -0.009590 Loss_D_fake 0.010441
[1503/5000][120/535][155089] Loss_D: -0.019870 Loss_G: 0.028750 Loss_D_real: -0.021814 Loss_D_fake -0.001944
[1503/5000][125/535][155090] Loss_D: -0.020372 Loss_G: 0.003033 Loss_D_real: -0.017795 Loss_D_fake 0.002576
[1503/5000][130/535][155091] Loss_D: -0.020184 Loss_G: 0.020722 Loss_D_real: -0.028081 Loss_D_fake -0.007896
[1503/5000][135/535][155092] Loss_D: -0.020908 Loss_G: 0.003845 Loss_D_real: -0.010416 Loss_D_fake 0.010492
[1503/5000][140/535][155093] Loss_D: -0.020667 Loss_G: 0.025371 Loss_D_real: -0.024611 Loss_D_fake -0.003945
[1503/5000][145/535][155094] Loss_D: -0.019753 Loss_G: 0.006351 Loss_D_real: -0.010693 Loss_D_fake 0.009060
[1503/5000][150/535][155095] Loss_D: -0.021116 Loss_G: 0.003379 Loss_D_real: -0.021639 Loss_D_fake -0.000523
[1503/5000][155/535][155096] Loss_D: -0.021287 Loss_G: 0.023947 Loss_D_real: -0.033589 Loss_D_fake -0.012302
[1503/5000][160/535][155097] Loss_D: -0.020237 Loss_G: -0.016362 Loss_D_real: -0.001964 Loss_D_fake 0.018272
[1503/5000][165/535][155098] Loss_D: -0.020181 Loss_G: 0.002670 Loss_D_real: -0.008681 Loss_D_fake 0.011500
[1503/5000][170/535][155099] Loss_D: -0.019677 Loss_G: 0.007744 Loss_D_real: -0.008608 Loss_D_fake 0.011069
[1503/5000][175/535][155100] Loss_D: -0.020661 Loss_G: 0.008263 Loss_D_real: -0.007972 Loss_D_fake 0.012689
[1503/5000][180/535][155101] Loss_D: -0.018672 Loss_G: 0.000876 Loss_D_real: 0.001088 Loss_D_fake 0.019761
[1503/5000][185/535][155102] Loss_D: -0.019661 Loss_G: 0.002702 Loss_D_real: -0.018295 Loss_D_fake 0.001366
[1503/5000][190/535][155103] Loss_D: -0.018571 Loss_G: -0.004382 Loss_D_real: -0.005431 Loss_D_fake 0.013140
[1503/5000][195/535][155104] Loss_D: -0.020500 Loss_G: 0.008727 Loss_D_real: -0.014268 Loss_D_fake 0.006232
[1503/5000][200/535][155105] Loss_D: -0.018901 Loss_G: -0.006999 Loss_D_real: -0.007105 Loss_D_fake 0.011796
[1503/5000][205/535][155106] Loss_D: -0.019343 Loss_G: -0.015105 Loss_D_real: -0.006374 Loss_D_fake 0.012969
[1503/5000][210/535][155107] Loss_D: -0.019437 Loss_G: 0.000140 Loss_D_real: -0.008260 Loss_D_fake 0.011177
[1503/5000][215/535][155108] Loss_D: -0.019539 Loss_G: 0.012798 Loss_D_real: -0.008254 Loss_D_fake 0.011285
[1503/5000][220/535][155109] Loss_D: -0.019322 Loss_G: 0.015806 Loss_D_real: -0.032325 Loss_D_fake -0.013003
[1503/5000][225/535][155110] Loss_D: -0.019150 Loss_G: -0.011384 Loss_D_real: -0.009228 Loss_D_fake 0.009923
[1503/5000][230/535][155111] Loss_D: -0.019137 Loss_G: 0.007866 Loss_D_real: -0.009002 Loss_D_fake 0.010135
[1503/5000][235/535][155112] Loss_D: -0.020592 Loss_G: 0.005776 Loss_D_real: -0.009417 Loss_D_fake 0.011176
[1503/5000][240/535][155113] Loss_D: -0.020689 Loss_G: 0.013043 Loss_D_real: -0.020647 Loss_D_fake 0.000042
[1503/5000][245/535][155114] Loss_D: -0.020788 Loss_G: -0.001086 Loss_D_real: -0.009536 Loss_D_fake 0.011251
[1503/5000][250/535][155115] Loss_D: -0.021186 Loss_G: 0.010043 Loss_D_real: -0.024586 Loss_D_fake -0.003400
[1503/5000][255/535][155116] Loss_D: -0.019021 Loss_G: 0.018999 Loss_D_real: -0.030869 Loss_D_fake -0.011848
[1503/5000][260/535][155117] Loss_D: -0.020707 Loss_G: 0.020143 Loss_D_real: -0.028120 Loss_D_fake -0.007413
[1503/5000][265/535][155118] Loss_D: -0.020500 Loss_G: 0.010658 Loss_D_real: -0.006496 Loss_D_fake 0.014004
[1503/5000][270/535][155119] Loss_D: -0.019118 Loss_G: 0.000577 Loss_D_real: -0.024684 Loss_D_fake -0.005567
[1503/5000][275/535][155120] Loss_D: -0.021003 Loss_G: -0.003182 Loss_D_real: -0.021588 Loss_D_fake -0.000586
[1503/5000][280/535][155121] Loss_D: -0.019827 Loss_G: 0.030662 Loss_D_real: -0.026202 Loss_D_fake -0.006375
[1503/5000][285/535][155122] Loss_D: -0.020761 Loss_G: 0.003119 Loss_D_real: -0.015876 Loss_D_fake 0.004885
[1503/5000][290/535][155123] Loss_D: -0.019809 Loss_G: 0.001846 Loss_D_real: -0.013911 Loss_D_fake 0.005898
[1503/5000][295/535][155124] Loss_D: -0.021020 Loss_G: 0.005805 Loss_D_real: -0.017475 Loss_D_fake 0.003545
[1503/5000][300/535][155125] Loss_D: -0.019901 Loss_G: 0.010881 Loss_D_real: -0.003563 Loss_D_fake 0.016338
[1503/5000][305/535][155126] Loss_D: -0.019138 Loss_G: 0.003199 Loss_D_real: -0.012202 Loss_D_fake 0.006936
[1503/5000][310/535][155127] Loss_D: -0.020564 Loss_G: 0.008977 Loss_D_real: -0.013714 Loss_D_fake 0.006850
[1503/5000][315/535][155128] Loss_D: -0.020907 Loss_G: -0.005580 Loss_D_real: -0.014897 Loss_D_fake 0.006010
[1503/5000][320/535][155129] Loss_D: -0.018452 Loss_G: 0.026200 Loss_D_real: -0.032572 Loss_D_fake -0.014120
[1503/5000][325/535][155130] Loss_D: -0.018610 Loss_G: 0.003559 Loss_D_real: -0.013447 Loss_D_fake 0.005163
[1503/5000][330/535][155131] Loss_D: -0.018581 Loss_G: -0.008802 Loss_D_real: -0.004886 Loss_D_fake 0.013695
[1503/5000][335/535][155132] Loss_D: -0.020458 Loss_G: 0.010427 Loss_D_real: -0.025754 Loss_D_fake -0.005296
[1503/5000][340/535][155133] Loss_D: -0.019511 Loss_G: -0.009191 Loss_D_real: -0.001735 Loss_D_fake 0.017776
[1503/5000][345/535][155134] Loss_D: -0.021320 Loss_G: -0.001462 Loss_D_real: -0.010405 Loss_D_fake 0.010915
[1503/5000][350/535][155135] Loss_D: -0.020394 Loss_G: 0.034133 Loss_D_real: -0.030732 Loss_D_fake -0.010338
[1503/5000][355/535][155136] Loss_D: -0.019336 Loss_G: 0.000051 Loss_D_real: -0.002255 Loss_D_fake 0.017081
[1503/5000][360/535][155137] Loss_D: -0.019169 Loss_G: -0.002422 Loss_D_real: -0.011205 Loss_D_fake 0.007964
[1503/5000][365/535][155138] Loss_D: -0.020061 Loss_G: -0.002693 Loss_D_real: -0.010563 Loss_D_fake 0.009497
[1503/5000][370/535][155139] Loss_D: -0.018580 Loss_G: -0.001285 Loss_D_real: -0.022866 Loss_D_fake -0.004286
[1503/5000][375/535][155140] Loss_D: -0.020606 Loss_G: 0.011121 Loss_D_real: -0.012242 Loss_D_fake 0.008364
[1503/5000][380/535][155141] Loss_D: -0.020383 Loss_G: -0.001051 Loss_D_real: -0.013954 Loss_D_fake 0.006429
[1503/5000][385/535][155142] Loss_D: -0.019748 Loss_G: 0.006744 Loss_D_real: -0.011810 Loss_D_fake 0.007938
[1503/5000][390/535][155143] Loss_D: -0.020586 Loss_G: 0.024548 Loss_D_real: -0.029945 Loss_D_fake -0.009359
[1503/5000][395/535][155144] Loss_D: -0.018133 Loss_G: 0.020454 Loss_D_real: -0.022337 Loss_D_fake -0.004204
[1503/5000][400/535][155145] Loss_D: -0.020309 Loss_G: 0.002486 Loss_D_real: -0.019153 Loss_D_fake 0.001156
[1503/5000][405/535][155146] Loss_D: -0.020401 Loss_G: 0.011451 Loss_D_real: -0.022390 Loss_D_fake -0.001989
[1503/5000][410/535][155147] Loss_D: -0.019377 Loss_G: -0.006767 Loss_D_real: -0.014649 Loss_D_fake 0.004728
[1503/5000][415/535][155148] Loss_D: -0.019423 Loss_G: 0.022423 Loss_D_real: -0.024846 Loss_D_fake -0.005423
[1503/5000][420/535][155149] Loss_D: -0.020087 Loss_G: 0.005116 Loss_D_real: -0.020960 Loss_D_fake -0.000874
[1503/5000][425/535][155150] Loss_D: -0.020245 Loss_G: 0.017817 Loss_D_real: -0.008370 Loss_D_fake 0.011875
[1503/5000][430/535][155151] Loss_D: -0.017250 Loss_G: -0.013134 Loss_D_real: -0.006422 Loss_D_fake 0.010828
[1503/5000][435/535][155152] Loss_D: -0.020016 Loss_G: 0.005986 Loss_D_real: -0.008785 Loss_D_fake 0.011231
[1503/5000][440/535][155153] Loss_D: -0.019058 Loss_G: 0.005781 Loss_D_real: -0.019046 Loss_D_fake 0.000012
[1503/5000][445/535][155154] Loss_D: -0.019666 Loss_G: 0.000126 Loss_D_real: -0.003779 Loss_D_fake 0.015887
[1503/5000][450/535][155155] Loss_D: -0.019080 Loss_G: -0.000780 Loss_D_real: -0.018866 Loss_D_fake 0.000214
[1503/5000][455/535][155156] Loss_D: -0.020434 Loss_G: 0.006256 Loss_D_real: -0.016796 Loss_D_fake 0.003638
[1503/5000][460/535][155157] Loss_D: -0.019831 Loss_G: 0.005993 Loss_D_real: -0.023564 Loss_D_fake -0.003733
[1503/5000][465/535][155158] Loss_D: -0.019602 Loss_G: 0.009142 Loss_D_real: -0.015196 Loss_D_fake 0.004406
[1503/5000][470/535][155159] Loss_D: -0.021339 Loss_G: -0.007038 Loss_D_real: -0.001885 Loss_D_fake 0.019454
[1503/5000][475/535][155160] Loss_D: -0.018992 Loss_G: 0.022463 Loss_D_real: -0.022013 Loss_D_fake -0.003021
[1503/5000][480/535][155161] Loss_D: -0.019965 Loss_G: 0.006188 Loss_D_real: -0.019491 Loss_D_fake 0.000474
[1503/5000][485/535][155162] Loss_D: -0.021107 Loss_G: 0.009641 Loss_D_real: -0.030124 Loss_D_fake -0.009017
[1503/5000][490/535][155163] Loss_D: -0.019842 Loss_G: -0.000046 Loss_D_real: -0.008583 Loss_D_fake 0.011260
[1503/5000][495/535][155164] Loss_D: -0.019349 Loss_G: 0.010519 Loss_D_real: -0.010838 Loss_D_fake 0.008511
[1503/5000][500/535][155165] Loss_D: -0.019754 Loss_G: -0.001194 Loss_D_real: -0.008374 Loss_D_fake 0.011380
[1503/5000][505/535][155166] Loss_D: -0.019885 Loss_G: -0.011658 Loss_D_real: -0.003499 Loss_D_fake 0.016386
[1503/5000][510/535][155167] Loss_D: -0.019039 Loss_G: -0.006829 Loss_D_real: -0.012096 Loss_D_fake 0.006942
[1503/5000][515/535][155168] Loss_D: -0.019650 Loss_G: 0.005022 Loss_D_real: -0.007061 Loss_D_fake 0.012589
[1503/5000][520/535][155169] Loss_D: -0.020215 Loss_G: 0.007915 Loss_D_real: -0.017449 Loss_D_fake 0.002766
[1503/5000][525/535][155170] Loss_D: -0.020018 Loss_G: 0.017035 Loss_D_real: -0.025258 Loss_D_fake -0.005240
[1503/5000][530/535][155171] Loss_D: -0.020724 Loss_G: 0.000228 Loss_D_real: -0.013383 Loss_D_fake 0.007342
[1503/5000][535/535][155172] Loss_D: -0.017651 Loss_G: -0.031350 Loss_D_real: -0.003304 Loss_D_fake 0.014347
[1504/5000][5/535][155173] Loss_D: -0.020409 Loss_G: 0.017652 Loss_D_real: -0.013893 Loss_D_fake 0.006516
[1504/5000][10/535][155174] Loss_D: -0.019943 Loss_G: 0.001223 Loss_D_real: -0.012113 Loss_D_fake 0.007830
[1504/5000][15/535][155175] Loss_D: -0.019268 Loss_G: 0.019854 Loss_D_real: -0.026725 Loss_D_fake -0.007457
[1504/5000][20/535][155176] Loss_D: -0.018184 Loss_G: -0.008682 Loss_D_real: 0.001219 Loss_D_fake 0.019404
[1504/5000][25/535][155177] Loss_D: -0.019980 Loss_G: 0.033409 Loss_D_real: -0.024806 Loss_D_fake -0.004827
[1504/5000][30/535][155178] Loss_D: -0.018697 Loss_G: 0.000834 Loss_D_real: 0.001535 Loss_D_fake 0.020231
[1504/5000][35/535][155179] Loss_D: -0.020550 Loss_G: 0.013940 Loss_D_real: -0.018696 Loss_D_fake 0.001854
[1504/5000][40/535][155180] Loss_D: -0.019433 Loss_G: 0.007785 Loss_D_real: -0.017846 Loss_D_fake 0.001587
[1504/5000][45/535][155181] Loss_D: -0.017993 Loss_G: -0.008479 Loss_D_real: -0.006493 Loss_D_fake 0.011500
[1504/5000][50/535][155182] Loss_D: -0.020133 Loss_G: -0.007433 Loss_D_real: -0.017715 Loss_D_fake 0.002418
[1504/5000][55/535][155183] Loss_D: -0.020904 Loss_G: 0.014434 Loss_D_real: -0.022800 Loss_D_fake -0.001897
[1504/5000][60/535][155184] Loss_D: -0.019410 Loss_G: 0.026230 Loss_D_real: -0.023038 Loss_D_fake -0.003628
[1504/5000][65/535][155185] Loss_D: -0.020306 Loss_G: 0.007838 Loss_D_real: -0.016005 Loss_D_fake 0.004301
[1504/5000][70/535][155186] Loss_D: -0.019419 Loss_G: -0.003269 Loss_D_real: -0.016789 Loss_D_fake 0.002630
[1504/5000][75/535][155187] Loss_D: -0.020922 Loss_G: 0.014619 Loss_D_real: -0.019761 Loss_D_fake 0.001161
[1504/5000][80/535][155188] Loss_D: -0.019470 Loss_G: 0.002976 Loss_D_real: -0.014510 Loss_D_fake 0.004960
[1504/5000][85/535][155189] Loss_D: -0.020824 Loss_G: 0.008236 Loss_D_real: -0.021368 Loss_D_fake -0.000544
[1504/5000][90/535][155190] Loss_D: -0.021253 Loss_G: 0.011465 Loss_D_real: -0.016487 Loss_D_fake 0.004765
[1504/5000][95/535][155191] Loss_D: -0.021002 Loss_G: 0.003381 Loss_D_real: -0.015957 Loss_D_fake 0.005045
[1504/5000][100/535][155192] Loss_D: -0.019867 Loss_G: 0.020791 Loss_D_real: -0.027433 Loss_D_fake -0.007567
[1504/5000][105/535][155193] Loss_D: -0.020258 Loss_G: -0.000836 Loss_D_real: -0.023979 Loss_D_fake -0.003721
[1504/5000][110/535][155194] Loss_D: -0.018300 Loss_G: 0.001778 Loss_D_real: -0.009727 Loss_D_fake 0.008573
[1504/5000][115/535][155195] Loss_D: -0.019128 Loss_G: -0.012189 Loss_D_real: -0.010510 Loss_D_fake 0.008618
[1504/5000][120/535][155196] Loss_D: -0.021263 Loss_G: 0.012088 Loss_D_real: -0.013106 Loss_D_fake 0.008158
[1504/5000][125/535][155197] Loss_D: -0.019253 Loss_G: 0.010465 Loss_D_real: -0.024792 Loss_D_fake -0.005539
[1504/5000][130/535][155198] Loss_D: -0.020017 Loss_G: 0.002393 Loss_D_real: -0.014411 Loss_D_fake 0.005606
[1504/5000][135/535][155199] Loss_D: -0.017785 Loss_G: 0.019265 Loss_D_real: -0.017379 Loss_D_fake 0.000406
[1504/5000][140/535][155200] Loss_D: -0.020933 Loss_G: 0.004064 Loss_D_real: -0.017193 Loss_D_fake 0.003740
[1504/5000][145/535][155201] Loss_D: -0.020327 Loss_G: -0.002086 Loss_D_real: 0.001127 Loss_D_fake 0.021454
[1504/5000][150/535][155202] Loss_D: -0.020475 Loss_G: -0.002252 Loss_D_real: -0.000397 Loss_D_fake 0.020078
[1504/5000][155/535][155203] Loss_D: -0.020649 Loss_G: 0.010915 Loss_D_real: -0.010588 Loss_D_fake 0.010061
[1504/5000][160/535][155204] Loss_D: -0.020183 Loss_G: 0.016559 Loss_D_real: -0.016932 Loss_D_fake 0.003251
[1504/5000][165/535][155205] Loss_D: -0.021573 Loss_G: 0.019724 Loss_D_real: -0.012896 Loss_D_fake 0.008677
[1504/5000][170/535][155206] Loss_D: -0.021670 Loss_G: 0.024734 Loss_D_real: -0.022006 Loss_D_fake -0.000336
[1504/5000][175/535][155207] Loss_D: -0.019982 Loss_G: 0.007169 Loss_D_real: -0.018584 Loss_D_fake 0.001398
[1504/5000][180/535][155208] Loss_D: -0.020611 Loss_G: -0.003402 Loss_D_real: -0.012504 Loss_D_fake 0.008107
[1504/5000][185/535][155209] Loss_D: -0.019630 Loss_G: -0.021748 Loss_D_real: 0.002105 Loss_D_fake 0.021735
[1504/5000][190/535][155210] Loss_D: -0.018377 Loss_G: 0.025117 Loss_D_real: -0.023517 Loss_D_fake -0.005140
[1504/5000][195/535][155211] Loss_D: -0.020398 Loss_G: 0.008278 Loss_D_real: -0.011009 Loss_D_fake 0.009389
[1504/5000][200/535][155212] Loss_D: -0.020473 Loss_G: -0.010649 Loss_D_real: -0.010370 Loss_D_fake 0.010103
[1504/5000][205/535][155213] Loss_D: -0.019250 Loss_G: 0.019630 Loss_D_real: -0.012657 Loss_D_fake 0.006592
[1504/5000][210/535][155214] Loss_D: -0.019155 Loss_G: 0.004562 Loss_D_real: -0.025979 Loss_D_fake -0.006824
[1504/5000][215/535][155215] Loss_D: -0.021214 Loss_G: 0.010081 Loss_D_real: -0.016418 Loss_D_fake 0.004796
[1504/5000][220/535][155216] Loss_D: -0.020719 Loss_G: 0.018440 Loss_D_real: -0.030396 Loss_D_fake -0.009677
[1504/5000][225/535][155217] Loss_D: -0.021638 Loss_G: 0.027613 Loss_D_real: -0.019412 Loss_D_fake 0.002226
[1504/5000][230/535][155218] Loss_D: -0.018912 Loss_G: -0.010939 Loss_D_real: -0.000829 Loss_D_fake 0.018083
[1504/5000][235/535][155219] Loss_D: -0.019499 Loss_G: 0.017038 Loss_D_real: -0.028861 Loss_D_fake -0.009362
[1504/5000][240/535][155220] Loss_D: -0.020117 Loss_G: 0.012587 Loss_D_real: -0.023054 Loss_D_fake -0.002936
[1504/5000][245/535][155221] Loss_D: -0.019498 Loss_G: 0.019425 Loss_D_real: -0.020220 Loss_D_fake -0.000722
[1504/5000][250/535][155222] Loss_D: -0.021174 Loss_G: -0.006329 Loss_D_real: -0.009577 Loss_D_fake 0.011596
[1504/5000][255/535][155223] Loss_D: -0.018609 Loss_G: 0.016220 Loss_D_real: -0.027059 Loss_D_fake -0.008450
[1504/5000][260/535][155224] Loss_D: -0.018850 Loss_G: -0.001875 Loss_D_real: 0.006405 Loss_D_fake 0.025255
[1504/5000][265/535][155225] Loss_D: -0.019185 Loss_G: 0.008526 Loss_D_real: -0.024275 Loss_D_fake -0.005089
[1504/5000][270/535][155226] Loss_D: -0.019749 Loss_G: -0.006521 Loss_D_real: -0.002523 Loss_D_fake 0.017226
[1504/5000][275/535][155227] Loss_D: -0.020544 Loss_G: 0.015564 Loss_D_real: -0.016773 Loss_D_fake 0.003771
[1504/5000][280/535][155228] Loss_D: -0.019439 Loss_G: -0.003562 Loss_D_real: -0.005776 Loss_D_fake 0.013663
[1504/5000][285/535][155229] Loss_D: -0.019492 Loss_G: 0.020299 Loss_D_real: -0.030535 Loss_D_fake -0.011043
[1504/5000][290/535][155230] Loss_D: -0.019119 Loss_G: -0.011774 Loss_D_real: -0.001828 Loss_D_fake 0.017290
[1504/5000][295/535][155231] Loss_D: -0.020146 Loss_G: 0.014791 Loss_D_real: -0.014547 Loss_D_fake 0.005599
[1504/5000][300/535][155232] Loss_D: -0.019126 Loss_G: -0.018607 Loss_D_real: 0.008211 Loss_D_fake 0.027336
[1504/5000][305/535][155233] Loss_D: -0.019607 Loss_G: 0.002558 Loss_D_real: -0.006384 Loss_D_fake 0.013224
[1504/5000][310/535][155234] Loss_D: -0.020159 Loss_G: 0.002538 Loss_D_real: -0.003021 Loss_D_fake 0.017138
[1504/5000][315/535][155235] Loss_D: -0.020934 Loss_G: 0.005299 Loss_D_real: -0.023279 Loss_D_fake -0.002345
[1504/5000][320/535][155236] Loss_D: -0.020311 Loss_G: -0.003877 Loss_D_real: -0.019435 Loss_D_fake 0.000876
[1504/5000][325/535][155237] Loss_D: -0.019605 Loss_G: 0.021678 Loss_D_real: -0.024274 Loss_D_fake -0.004669
[1504/5000][330/535][155238] Loss_D: -0.020703 Loss_G: 0.021730 Loss_D_real: -0.027252 Loss_D_fake -0.006548
[1504/5000][335/535][155239] Loss_D: -0.019814 Loss_G: -0.002356 Loss_D_real: -0.004922 Loss_D_fake 0.014892
[1504/5000][340/535][155240] Loss_D: -0.019038 Loss_G: -0.000043 Loss_D_real: -0.015035 Loss_D_fake 0.004004
[1504/5000][345/535][155241] Loss_D: -0.018860 Loss_G: 0.008889 Loss_D_real: -0.018309 Loss_D_fake 0.000551
[1504/5000][350/535][155242] Loss_D: -0.019749 Loss_G: 0.006803 Loss_D_real: -0.010990 Loss_D_fake 0.008760
[1504/5000][355/535][155243] Loss_D: -0.019861 Loss_G: 0.009800 Loss_D_real: -0.013502 Loss_D_fake 0.006360
[1504/5000][360/535][155244] Loss_D: -0.021759 Loss_G: 0.019761 Loss_D_real: -0.036207 Loss_D_fake -0.014448
[1504/5000][365/535][155245] Loss_D: -0.019586 Loss_G: -0.012395 Loss_D_real: -0.007101 Loss_D_fake 0.012485
[1504/5000][370/535][155246] Loss_D: -0.021395 Loss_G: 0.008088 Loss_D_real: -0.021288 Loss_D_fake 0.000106
[1504/5000][375/535][155247] Loss_D: -0.019152 Loss_G: -0.009490 Loss_D_real: -0.006038 Loss_D_fake 0.013114
[1504/5000][380/535][155248] Loss_D: -0.019654 Loss_G: 0.020407 Loss_D_real: -0.014800 Loss_D_fake 0.004854
[1504/5000][385/535][155249] Loss_D: -0.020155 Loss_G: 0.000072 Loss_D_real: -0.014210 Loss_D_fake 0.005946
[1504/5000][390/535][155250] Loss_D: -0.019834 Loss_G: 0.008176 Loss_D_real: -0.016563 Loss_D_fake 0.003271
[1504/5000][395/535][155251] Loss_D: -0.018811 Loss_G: -0.004159 Loss_D_real: -0.002045 Loss_D_fake 0.016766
[1504/5000][400/535][155252] Loss_D: -0.021588 Loss_G: 0.013445 Loss_D_real: -0.009189 Loss_D_fake 0.012399
[1504/5000][405/535][155253] Loss_D: -0.019422 Loss_G: 0.008300 Loss_D_real: -0.000431 Loss_D_fake 0.018991
[1504/5000][410/535][155254] Loss_D: -0.019781 Loss_G: 0.009858 Loss_D_real: -0.015146 Loss_D_fake 0.004636
[1504/5000][415/535][155255] Loss_D: -0.019962 Loss_G: 0.017401 Loss_D_real: -0.024957 Loss_D_fake -0.004996
[1504/5000][420/535][155256] Loss_D: -0.019552 Loss_G: 0.009384 Loss_D_real: -0.023149 Loss_D_fake -0.003597
[1504/5000][425/535][155257] Loss_D: -0.020054 Loss_G: -0.009943 Loss_D_real: -0.011654 Loss_D_fake 0.008400
[1504/5000][430/535][155258] Loss_D: -0.021378 Loss_G: 0.023852 Loss_D_real: -0.027957 Loss_D_fake -0.006579
[1504/5000][435/535][155259] Loss_D: -0.021948 Loss_G: 0.016313 Loss_D_real: -0.032372 Loss_D_fake -0.010424
[1504/5000][440/535][155260] Loss_D: -0.020315 Loss_G: -0.014905 Loss_D_real: 0.006414 Loss_D_fake 0.026730
[1504/5000][445/535][155261] Loss_D: -0.019374 Loss_G: -0.004657 Loss_D_real: -0.015957 Loss_D_fake 0.003417
[1504/5000][450/535][155262] Loss_D: -0.020119 Loss_G: 0.016763 Loss_D_real: -0.007569 Loss_D_fake 0.012549
[1504/5000][455/535][155263] Loss_D: -0.018784 Loss_G: -0.007103 Loss_D_real: 0.004168 Loss_D_fake 0.022953
[1504/5000][460/535][155264] Loss_D: -0.017630 Loss_G: -0.013756 Loss_D_real: 0.004083 Loss_D_fake 0.021713
[1504/5000][465/535][155265] Loss_D: -0.018232 Loss_G: -0.010484 Loss_D_real: -0.001264 Loss_D_fake 0.016968
[1504/5000][470/535][155266] Loss_D: -0.019764 Loss_G: 0.016401 Loss_D_real: -0.016000 Loss_D_fake 0.003764
[1504/5000][475/535][155267] Loss_D: -0.019680 Loss_G: -0.009041 Loss_D_real: -0.002522 Loss_D_fake 0.017158
[1504/5000][480/535][155268] Loss_D: -0.020448 Loss_G: 0.012091 Loss_D_real: -0.015223 Loss_D_fake 0.005225
[1504/5000][485/535][155269] Loss_D: -0.017937 Loss_G: 0.033762 Loss_D_real: -0.025061 Loss_D_fake -0.007124
[1504/5000][490/535][155270] Loss_D: -0.018624 Loss_G: 0.002469 Loss_D_real: -0.019450 Loss_D_fake -0.000826
[1504/5000][495/535][155271] Loss_D: -0.018961 Loss_G: 0.015334 Loss_D_real: -0.024465 Loss_D_fake -0.005504
[1504/5000][500/535][155272] Loss_D: -0.019188 Loss_G: 0.002773 Loss_D_real: -0.012297 Loss_D_fake 0.006892
[1504/5000][505/535][155273] Loss_D: -0.019843 Loss_G: 0.015529 Loss_D_real: -0.025760 Loss_D_fake -0.005917
[1504/5000][510/535][155274] Loss_D: -0.019262 Loss_G: 0.007684 Loss_D_real: -0.011964 Loss_D_fake 0.007298
[1504/5000][515/535][155275] Loss_D: -0.019497 Loss_G: 0.004337 Loss_D_real: -0.017109 Loss_D_fake 0.002388
[1504/5000][520/535][155276] Loss_D: -0.020322 Loss_G: -0.006082 Loss_D_real: -0.006838 Loss_D_fake 0.013483
[1504/5000][525/535][155277] Loss_D: -0.020283 Loss_G: 0.019340 Loss_D_real: -0.016130 Loss_D_fake 0.004153
[1504/5000][530/535][155278] Loss_D: -0.019311 Loss_G: -0.006745 Loss_D_real: 0.001155 Loss_D_fake 0.020466
[1504/5000][535/535][155279] Loss_D: -0.015046 Loss_G: 0.020782 Loss_D_real: -0.026344 Loss_D_fake -0.011298
[1505/5000][5/535][155280] Loss_D: -0.020363 Loss_G: 0.006384 Loss_D_real: -0.020873 Loss_D_fake -0.000509
[1505/5000][10/535][155281] Loss_D: -0.020577 Loss_G: -0.003216 Loss_D_real: -0.019069 Loss_D_fake 0.001507
[1505/5000][15/535][155282] Loss_D: -0.020969 Loss_G: 0.014963 Loss_D_real: -0.014094 Loss_D_fake 0.006876
[1505/5000][20/535][155283] Loss_D: -0.019398 Loss_G: 0.000209 Loss_D_real: -0.009967 Loss_D_fake 0.009431
[1505/5000][25/535][155284] Loss_D: -0.019450 Loss_G: 0.024105 Loss_D_real: -0.022898 Loss_D_fake -0.003448
[1505/5000][30/535][155285] Loss_D: -0.019319 Loss_G: 0.012002 Loss_D_real: -0.024170 Loss_D_fake -0.004852
[1505/5000][35/535][155286] Loss_D: -0.018904 Loss_G: -0.008726 Loss_D_real: 0.000694 Loss_D_fake 0.019598
[1505/5000][40/535][155287] Loss_D: -0.019794 Loss_G: 0.012562 Loss_D_real: -0.024312 Loss_D_fake -0.004518
[1505/5000][45/535][155288] Loss_D: -0.019845 Loss_G: 0.009509 Loss_D_real: -0.008641 Loss_D_fake 0.011204
[1505/5000][50/535][155289] Loss_D: -0.019993 Loss_G: -0.009430 Loss_D_real: -0.010080 Loss_D_fake 0.009913
[1505/5000][55/535][155290] Loss_D: -0.018489 Loss_G: 0.018812 Loss_D_real: -0.022879 Loss_D_fake -0.004390
[1505/5000][60/535][155291] Loss_D: -0.020189 Loss_G: 0.004062 Loss_D_real: -0.016192 Loss_D_fake 0.003997
[1505/5000][65/535][155292] Loss_D: -0.019670 Loss_G: 0.006736 Loss_D_real: -0.011654 Loss_D_fake 0.008015
[1505/5000][70/535][155293] Loss_D: -0.019339 Loss_G: 0.027659 Loss_D_real: -0.028126 Loss_D_fake -0.008787
[1505/5000][75/535][155294] Loss_D: -0.019495 Loss_G: 0.003779 Loss_D_real: -0.015287 Loss_D_fake 0.004208
[1505/5000][80/535][155295] Loss_D: -0.020517 Loss_G: 0.004728 Loss_D_real: -0.020356 Loss_D_fake 0.000161
[1505/5000][85/535][155296] Loss_D: -0.019846 Loss_G: -0.013231 Loss_D_real: -0.003755 Loss_D_fake 0.016092
[1505/5000][90/535][155297] Loss_D: -0.019475 Loss_G: 0.003740 Loss_D_real: -0.024898 Loss_D_fake -0.005422
[1505/5000][95/535][155298] Loss_D: -0.020314 Loss_G: -0.009463 Loss_D_real: -0.004209 Loss_D_fake 0.016105
[1505/5000][100/535][155299] Loss_D: -0.020568 Loss_G: 0.014989 Loss_D_real: -0.021397 Loss_D_fake -0.000830
[1505/5000][105/535][155300] Loss_D: -0.019169 Loss_G: -0.002645 Loss_D_real: -0.002064 Loss_D_fake 0.017105
[1505/5000][110/535][155301] Loss_D: -0.019727 Loss_G: 0.008188 Loss_D_real: -0.015345 Loss_D_fake 0.004382
[1505/5000][115/535][155302] Loss_D: -0.020885 Loss_G: -0.013680 Loss_D_real: -0.003951 Loss_D_fake 0.016934
[1505/5000][120/535][155303] Loss_D: -0.021092 Loss_G: 0.013080 Loss_D_real: -0.017768 Loss_D_fake 0.003325
[1505/5000][125/535][155304] Loss_D: -0.019584 Loss_G: 0.000739 Loss_D_real: -0.013661 Loss_D_fake 0.005923
[1505/5000][130/535][155305] Loss_D: -0.020410 Loss_G: 0.001296 Loss_D_real: 0.005956 Loss_D_fake 0.026366
[1505/5000][135/535][155306] Loss_D: -0.019471 Loss_G: -0.000485 Loss_D_real: -0.005941 Loss_D_fake 0.013530
[1505/5000][140/535][155307] Loss_D: -0.019983 Loss_G: -0.007625 Loss_D_real: 0.000138 Loss_D_fake 0.020120
[1505/5000][145/535][155308] Loss_D: -0.019172 Loss_G: 0.019200 Loss_D_real: -0.029709 Loss_D_fake -0.010538
[1505/5000][150/535][155309] Loss_D: -0.019418 Loss_G: 0.017918 Loss_D_real: -0.023620 Loss_D_fake -0.004202
[1505/5000][155/535][155310] Loss_D: -0.019875 Loss_G: 0.017440 Loss_D_real: -0.005986 Loss_D_fake 0.013888
[1505/5000][160/535][155311] Loss_D: -0.020161 Loss_G: -0.004112 Loss_D_real: -0.019244 Loss_D_fake 0.000917
[1505/5000][165/535][155312] Loss_D: -0.017869 Loss_G: 0.012987 Loss_D_real: -0.033071 Loss_D_fake -0.015202
[1505/5000][170/535][155313] Loss_D: -0.018542 Loss_G: -0.001992 Loss_D_real: -0.002540 Loss_D_fake 0.016002
[1505/5000][175/535][155314] Loss_D: -0.019022 Loss_G: -0.001550 Loss_D_real: -0.012275 Loss_D_fake 0.006747
[1505/5000][180/535][155315] Loss_D: -0.019425 Loss_G: 0.021196 Loss_D_real: -0.029321 Loss_D_fake -0.009896
[1505/5000][185/535][155316] Loss_D: -0.019876 Loss_G: -0.001217 Loss_D_real: -0.009289 Loss_D_fake 0.010586
[1505/5000][190/535][155317] Loss_D: -0.018711 Loss_G: 0.018509 Loss_D_real: -0.010914 Loss_D_fake 0.007797
[1505/5000][195/535][155318] Loss_D: -0.019629 Loss_G: 0.001705 Loss_D_real: -0.018848 Loss_D_fake 0.000781
[1505/5000][200/535][155319] Loss_D: -0.017426 Loss_G: -0.018587 Loss_D_real: 0.001033 Loss_D_fake 0.018459
[1505/5000][205/535][155320] Loss_D: -0.020414 Loss_G: 0.007983 Loss_D_real: -0.022211 Loss_D_fake -0.001796
[1505/5000][210/535][155321] Loss_D: -0.020298 Loss_G: -0.001729 Loss_D_real: -0.010696 Loss_D_fake 0.009602
[1505/5000][215/535][155322] Loss_D: -0.020692 Loss_G: 0.023168 Loss_D_real: -0.029270 Loss_D_fake -0.008579
[1505/5000][220/535][155323] Loss_D: -0.018816 Loss_G: -0.012839 Loss_D_real: -0.011949 Loss_D_fake 0.006867
[1505/5000][225/535][155324] Loss_D: -0.019578 Loss_G: 0.023481 Loss_D_real: -0.027707 Loss_D_fake -0.008129
[1505/5000][230/535][155325] Loss_D: -0.018856 Loss_G: 0.010219 Loss_D_real: -0.022305 Loss_D_fake -0.003449
[1505/5000][235/535][155326] Loss_D: -0.020297 Loss_G: -0.010689 Loss_D_real: -0.010523 Loss_D_fake 0.009775
[1505/5000][240/535][155327] Loss_D: -0.019725 Loss_G: 0.026375 Loss_D_real: -0.019331 Loss_D_fake 0.000393
[1505/5000][245/535][155328] Loss_D: -0.020097 Loss_G: 0.015512 Loss_D_real: -0.034034 Loss_D_fake -0.013937
[1505/5000][250/535][155329] Loss_D: -0.019925 Loss_G: 0.008324 Loss_D_real: -0.006109 Loss_D_fake 0.013816
[1505/5000][255/535][155330] Loss_D: -0.019586 Loss_G: 0.011837 Loss_D_real: -0.011617 Loss_D_fake 0.007970
[1505/5000][260/535][155331] Loss_D: -0.019224 Loss_G: 0.023723 Loss_D_real: -0.029093 Loss_D_fake -0.009869
[1505/5000][265/535][155332] Loss_D: -0.019104 Loss_G: 0.007525 Loss_D_real: -0.026834 Loss_D_fake -0.007730
[1505/5000][270/535][155333] Loss_D: -0.019906 Loss_G: -0.000741 Loss_D_real: -0.012002 Loss_D_fake 0.007904
[1505/5000][275/535][155334] Loss_D: -0.021625 Loss_G: 0.011272 Loss_D_real: -0.010448 Loss_D_fake 0.011177
[1505/5000][280/535][155335] Loss_D: -0.019177 Loss_G: 0.009801 Loss_D_real: -0.020472 Loss_D_fake -0.001295
[1505/5000][285/535][155336] Loss_D: -0.019263 Loss_G: -0.009244 Loss_D_real: 0.003700 Loss_D_fake 0.022963
[1505/5000][290/535][155337] Loss_D: -0.019819 Loss_G: 0.002360 Loss_D_real: -0.013655 Loss_D_fake 0.006163
[1505/5000][295/535][155338] Loss_D: -0.019998 Loss_G: 0.018362 Loss_D_real: -0.016880 Loss_D_fake 0.003118
[1505/5000][300/535][155339] Loss_D: -0.018209 Loss_G: 0.030242 Loss_D_real: -0.026074 Loss_D_fake -0.007865
[1505/5000][305/535][155340] Loss_D: -0.020615 Loss_G: -0.007604 Loss_D_real: -0.006067 Loss_D_fake 0.014548
[1505/5000][310/535][155341] Loss_D: -0.021102 Loss_G: 0.011189 Loss_D_real: -0.027572 Loss_D_fake -0.006470
[1505/5000][315/535][155342] Loss_D: -0.019651 Loss_G: -0.011275 Loss_D_real: -0.000623 Loss_D_fake 0.019028
[1505/5000][320/535][155343] Loss_D: -0.018347 Loss_G: 0.023140 Loss_D_real: -0.030488 Loss_D_fake -0.012141
[1505/5000][325/535][155344] Loss_D: -0.020403 Loss_G: 0.008868 Loss_D_real: -0.005362 Loss_D_fake 0.015041
[1505/5000][330/535][155345] Loss_D: -0.019769 Loss_G: 0.030711 Loss_D_real: -0.016834 Loss_D_fake 0.002935
[1505/5000][335/535][155346] Loss_D: -0.019655 Loss_G: 0.009890 Loss_D_real: -0.026701 Loss_D_fake -0.007045
[1505/5000][340/535][155347] Loss_D: -0.020433 Loss_G: 0.025402 Loss_D_real: -0.017556 Loss_D_fake 0.002876
[1505/5000][345/535][155348] Loss_D: -0.020068 Loss_G: -0.004678 Loss_D_real: -0.003562 Loss_D_fake 0.016506
[1505/5000][350/535][155349] Loss_D: -0.019778 Loss_G: -0.003245 Loss_D_real: -0.018551 Loss_D_fake 0.001227
[1505/5000][355/535][155350] Loss_D: -0.021195 Loss_G: 0.003755 Loss_D_real: -0.011558 Loss_D_fake 0.009637
[1505/5000][360/535][155351] Loss_D: -0.019267 Loss_G: -0.014241 Loss_D_real: -0.004523 Loss_D_fake 0.014744
[1505/5000][365/535][155352] Loss_D: -0.020088 Loss_G: 0.014066 Loss_D_real: -0.016495 Loss_D_fake 0.003592
[1505/5000][370/535][155353] Loss_D: -0.018478 Loss_G: -0.015759 Loss_D_real: 0.003883 Loss_D_fake 0.022360
[1505/5000][375/535][155354] Loss_D: -0.018276 Loss_G: 0.011890 Loss_D_real: -0.016795 Loss_D_fake 0.001481
[1505/5000][380/535][155355] Loss_D: -0.020803 Loss_G: 0.013179 Loss_D_real: -0.027923 Loss_D_fake -0.007120
[1505/5000][385/535][155356] Loss_D: -0.020997 Loss_G: 0.022316 Loss_D_real: -0.017327 Loss_D_fake 0.003670
[1505/5000][390/535][155357] Loss_D: -0.018253 Loss_G: 0.036460 Loss_D_real: -0.030349 Loss_D_fake -0.012097
[1505/5000][395/535][155358] Loss_D: -0.020334 Loss_G: 0.008521 Loss_D_real: -0.029069 Loss_D_fake -0.008735
[1505/5000][400/535][155359] Loss_D: -0.018999 Loss_G: 0.017628 Loss_D_real: -0.029999 Loss_D_fake -0.011001
[1505/5000][405/535][155360] Loss_D: -0.019669 Loss_G: 0.003666 Loss_D_real: -0.012813 Loss_D_fake 0.006857
[1505/5000][410/535][155361] Loss_D: -0.020491 Loss_G: -0.013254 Loss_D_real: -0.015063 Loss_D_fake 0.005428
[1505/5000][415/535][155362] Loss_D: -0.019170 Loss_G: -0.011788 Loss_D_real: -0.008939 Loss_D_fake 0.010231
[1505/5000][420/535][155363] Loss_D: -0.019537 Loss_G: 0.002223 Loss_D_real: -0.012242 Loss_D_fake 0.007294
[1505/5000][425/535][155364] Loss_D: -0.017966 Loss_G: 0.029274 Loss_D_real: -0.025533 Loss_D_fake -0.007567
[1505/5000][430/535][155365] Loss_D: -0.019499 Loss_G: 0.009039 Loss_D_real: -0.009572 Loss_D_fake 0.009927
[1505/5000][435/535][155366] Loss_D: -0.019471 Loss_G: 0.005038 Loss_D_real: -0.018822 Loss_D_fake 0.000649
[1505/5000][440/535][155367] Loss_D: -0.019217 Loss_G: 0.012328 Loss_D_real: -0.020464 Loss_D_fake -0.001247
[1505/5000][445/535][155368] Loss_D: -0.019005 Loss_G: 0.015800 Loss_D_real: -0.021587 Loss_D_fake -0.002582
[1505/5000][450/535][155369] Loss_D: -0.020668 Loss_G: 0.003450 Loss_D_real: -0.014292 Loss_D_fake 0.006376
[1505/5000][455/535][155370] Loss_D: -0.021287 Loss_G: 0.013176 Loss_D_real: -0.032723 Loss_D_fake -0.011436
[1505/5000][460/535][155371] Loss_D: -0.022149 Loss_G: 0.009271 Loss_D_real: -0.017937 Loss_D_fake 0.004212
[1505/5000][465/535][155372] Loss_D: -0.020073 Loss_G: 0.000887 Loss_D_real: -0.027205 Loss_D_fake -0.007131
[1505/5000][470/535][155373] Loss_D: -0.020593 Loss_G: 0.000875 Loss_D_real: -0.011953 Loss_D_fake 0.008641
[1505/5000][475/535][155374] Loss_D: -0.019267 Loss_G: 0.025608 Loss_D_real: -0.027915 Loss_D_fake -0.008649
[1505/5000][480/535][155375] Loss_D: -0.019131 Loss_G: 0.006974 Loss_D_real: -0.013639 Loss_D_fake 0.005491
[1505/5000][485/535][155376] Loss_D: -0.019947 Loss_G: -0.006992 Loss_D_real: 0.003908 Loss_D_fake 0.023855
[1505/5000][490/535][155377] Loss_D: -0.021086 Loss_G: 0.012477 Loss_D_real: -0.021358 Loss_D_fake -0.000272
[1505/5000][495/535][155378] Loss_D: -0.020347 Loss_G: 0.005331 Loss_D_real: -0.023304 Loss_D_fake -0.002957
[1505/5000][500/535][155379] Loss_D: -0.020932 Loss_G: 0.001660 Loss_D_real: -0.016178 Loss_D_fake 0.004753
[1505/5000][505/535][155380] Loss_D: -0.019588 Loss_G: 0.026077 Loss_D_real: -0.028520 Loss_D_fake -0.008933
[1505/5000][510/535][155381] Loss_D: -0.020303 Loss_G: 0.002970 Loss_D_real: -0.007197 Loss_D_fake 0.013107
[1505/5000][515/535][155382] Loss_D: -0.020124 Loss_G: 0.021232 Loss_D_real: -0.024908 Loss_D_fake -0.004783
[1505/5000][520/535][155383] Loss_D: -0.019150 Loss_G: 0.011804 Loss_D_real: -0.013543 Loss_D_fake 0.005607
[1505/5000][525/535][155384] Loss_D: -0.019809 Loss_G: -0.013380 Loss_D_real: -0.010248 Loss_D_fake 0.009561
[1505/5000][530/535][155385] Loss_D: -0.018956 Loss_G: -0.000376 Loss_D_real: -0.007643 Loss_D_fake 0.011313
[1505/5000][535/535][155386] Loss_D: -0.018856 Loss_G: -0.009718 Loss_D_real: -0.017426 Loss_D_fake 0.001430
[1506/5000][5/535][155387] Loss_D: -0.020131 Loss_G: 0.009831 Loss_D_real: -0.026402 Loss_D_fake -0.006271
[1506/5000][10/535][155388] Loss_D: -0.020172 Loss_G: 0.003660 Loss_D_real: -0.011741 Loss_D_fake 0.008431
[1506/5000][15/535][155389] Loss_D: -0.020243 Loss_G: 0.023985 Loss_D_real: -0.030482 Loss_D_fake -0.010239
[1506/5000][20/535][155390] Loss_D: -0.020067 Loss_G: 0.022281 Loss_D_real: -0.022668 Loss_D_fake -0.002601
[1506/5000][25/535][155391] Loss_D: -0.020192 Loss_G: 0.007325 Loss_D_real: -0.005678 Loss_D_fake 0.014515
[1506/5000][30/535][155392] Loss_D: -0.018945 Loss_G: 0.004377 Loss_D_real: -0.019694 Loss_D_fake -0.000749
[1506/5000][35/535][155393] Loss_D: -0.019492 Loss_G: -0.003971 Loss_D_real: -0.014562 Loss_D_fake 0.004930
[1506/5000][40/535][155394] Loss_D: -0.019590 Loss_G: 0.007710 Loss_D_real: -0.012853 Loss_D_fake 0.006737
[1506/5000][45/535][155395] Loss_D: -0.018870 Loss_G: 0.006886 Loss_D_real: -0.013418 Loss_D_fake 0.005452
[1506/5000][50/535][155396] Loss_D: -0.018746 Loss_G: 0.007566 Loss_D_real: -0.012791 Loss_D_fake 0.005955
[1506/5000][55/535][155397] Loss_D: -0.019361 Loss_G: -0.007869 Loss_D_real: -0.009916 Loss_D_fake 0.009445
[1506/5000][60/535][155398] Loss_D: -0.017583 Loss_G: 0.022761 Loss_D_real: -0.033672 Loss_D_fake -0.016089
[1506/5000][65/535][155399] Loss_D: -0.019690 Loss_G: -0.007319 Loss_D_real: -0.011144 Loss_D_fake 0.008546
[1506/5000][70/535][155400] Loss_D: -0.019061 Loss_G: 0.003663 Loss_D_real: -0.011005 Loss_D_fake 0.008056
[1506/5000][75/535][155401] Loss_D: -0.019733 Loss_G: 0.012998 Loss_D_real: -0.012626 Loss_D_fake 0.007108
[1506/5000][80/535][155402] Loss_D: -0.019224 Loss_G: -0.001563 Loss_D_real: -0.000878 Loss_D_fake 0.018346
[1506/5000][85/535][155403] Loss_D: -0.018719 Loss_G: 0.013926 Loss_D_real: -0.007109 Loss_D_fake 0.011610
[1506/5000][90/535][155404] Loss_D: -0.019480 Loss_G: -0.002857 Loss_D_real: -0.004414 Loss_D_fake 0.015066
[1506/5000][95/535][155405] Loss_D: -0.019237 Loss_G: 0.009030 Loss_D_real: -0.012482 Loss_D_fake 0.006755
[1506/5000][100/535][155406] Loss_D: -0.019583 Loss_G: 0.024678 Loss_D_real: -0.020983 Loss_D_fake -0.001401
[1506/5000][105/535][155407] Loss_D: -0.019969 Loss_G: 0.007247 Loss_D_real: -0.028630 Loss_D_fake -0.008660
[1506/5000][110/535][155408] Loss_D: -0.020182 Loss_G: -0.005339 Loss_D_real: -0.004681 Loss_D_fake 0.015501
[1506/5000][115/535][155409] Loss_D: -0.018976 Loss_G: -0.010230 Loss_D_real: -0.000842 Loss_D_fake 0.018134
[1506/5000][120/535][155410] Loss_D: -0.018362 Loss_G: 0.019192 Loss_D_real: -0.014218 Loss_D_fake 0.004144
[1506/5000][125/535][155411] Loss_D: -0.019722 Loss_G: 0.001279 Loss_D_real: 0.005807 Loss_D_fake 0.025530
[1506/5000][130/535][155412] Loss_D: -0.020546 Loss_G: 0.011861 Loss_D_real: -0.018407 Loss_D_fake 0.002139
[1506/5000][135/535][155413] Loss_D: -0.021082 Loss_G: 0.006260 Loss_D_real: -0.006736 Loss_D_fake 0.014346
[1506/5000][140/535][155414] Loss_D: -0.021119 Loss_G: 0.033177 Loss_D_real: -0.026553 Loss_D_fake -0.005434
[1506/5000][145/535][155415] Loss_D: -0.020194 Loss_G: -0.014377 Loss_D_real: 0.001178 Loss_D_fake 0.021372
[1506/5000][150/535][155416] Loss_D: -0.020750 Loss_G: 0.011962 Loss_D_real: -0.015175 Loss_D_fake 0.005575
[1506/5000][155/535][155417] Loss_D: -0.020596 Loss_G: 0.008663 Loss_D_real: -0.011724 Loss_D_fake 0.008873
[1506/5000][160/535][155418] Loss_D: -0.019326 Loss_G: 0.013167 Loss_D_real: -0.018378 Loss_D_fake 0.000948
[1506/5000][165/535][155419] Loss_D: -0.020015 Loss_G: 0.012630 Loss_D_real: -0.009866 Loss_D_fake 0.010148
[1506/5000][170/535][155420] Loss_D: -0.020101 Loss_G: -0.013243 Loss_D_real: 0.005858 Loss_D_fake 0.025960
[1506/5000][175/535][155421] Loss_D: -0.020336 Loss_G: 0.003562 Loss_D_real: -0.011718 Loss_D_fake 0.008618
[1506/5000][180/535][155422] Loss_D: -0.018145 Loss_G: -0.015321 Loss_D_real: -0.007833 Loss_D_fake 0.010312
[1506/5000][185/535][155423] Loss_D: -0.020844 Loss_G: 0.010146 Loss_D_real: -0.020450 Loss_D_fake 0.000394
[1506/5000][190/535][155424] Loss_D: -0.020135 Loss_G: 0.015461 Loss_D_real: -0.017383 Loss_D_fake 0.002753
[1506/5000][195/535][155425] Loss_D: -0.020073 Loss_G: 0.022822 Loss_D_real: -0.025387 Loss_D_fake -0.005314
[1506/5000][200/535][155426] Loss_D: -0.018929 Loss_G: 0.017664 Loss_D_real: -0.019137 Loss_D_fake -0.000208
[1506/5000][205/535][155427] Loss_D: -0.018985 Loss_G: 0.003673 Loss_D_real: -0.019243 Loss_D_fake -0.000259
[1506/5000][210/535][155428] Loss_D: -0.018705 Loss_G: 0.023371 Loss_D_real: -0.025516 Loss_D_fake -0.006811
[1506/5000][215/535][155429] Loss_D: -0.019160 Loss_G: -0.010762 Loss_D_real: -0.010783 Loss_D_fake 0.008377
[1506/5000][220/535][155430] Loss_D: -0.017847 Loss_G: 0.031300 Loss_D_real: -0.030999 Loss_D_fake -0.013152
[1506/5000][225/535][155431] Loss_D: -0.018621 Loss_G: -0.002158 Loss_D_real: 0.000191 Loss_D_fake 0.018812
[1506/5000][230/535][155432] Loss_D: -0.020190 Loss_G: 0.018343 Loss_D_real: -0.018317 Loss_D_fake 0.001873
[1506/5000][235/535][155433] Loss_D: -0.020113 Loss_G: 0.005107 Loss_D_real: -0.013205 Loss_D_fake 0.006907
[1506/5000][240/535][155434] Loss_D: -0.020939 Loss_G: 0.008119 Loss_D_real: -0.028271 Loss_D_fake -0.007333
[1506/5000][245/535][155435] Loss_D: -0.020109 Loss_G: 0.013280 Loss_D_real: -0.015202 Loss_D_fake 0.004907
[1506/5000][250/535][155436] Loss_D: -0.021881 Loss_G: 0.015680 Loss_D_real: -0.016153 Loss_D_fake 0.005729
[1506/5000][255/535][155437] Loss_D: -0.022000 Loss_G: 0.006032 Loss_D_real: -0.025809 Loss_D_fake -0.003809
[1506/5000][260/535][155438] Loss_D: -0.019521 Loss_G: 0.009814 Loss_D_real: -0.012842 Loss_D_fake 0.006679
[1506/5000][265/535][155439] Loss_D: -0.019909 Loss_G: -0.001871 Loss_D_real: -0.023512 Loss_D_fake -0.003603
[1506/5000][270/535][155440] Loss_D: -0.019192 Loss_G: -0.016331 Loss_D_real: -0.002125 Loss_D_fake 0.017068
[1506/5000][275/535][155441] Loss_D: -0.020445 Loss_G: 0.010902 Loss_D_real: -0.018946 Loss_D_fake 0.001499
[1506/5000][280/535][155442] Loss_D: -0.019936 Loss_G: 0.010812 Loss_D_real: -0.013589 Loss_D_fake 0.006347
[1506/5000][285/535][155443] Loss_D: -0.020468 Loss_G: 0.004515 Loss_D_real: -0.009374 Loss_D_fake 0.011094
[1506/5000][290/535][155444] Loss_D: -0.019579 Loss_G: 0.023139 Loss_D_real: -0.023651 Loss_D_fake -0.004072
[1506/5000][295/535][155445] Loss_D: -0.018776 Loss_G: -0.009870 Loss_D_real: 0.004835 Loss_D_fake 0.023611
[1506/5000][300/535][155446] Loss_D: -0.021081 Loss_G: 0.008793 Loss_D_real: -0.014826 Loss_D_fake 0.006256
[1506/5000][305/535][155447] Loss_D: -0.018951 Loss_G: -0.008722 Loss_D_real: -0.008773 Loss_D_fake 0.010178
[1506/5000][310/535][155448] Loss_D: -0.019820 Loss_G: 0.015619 Loss_D_real: -0.019594 Loss_D_fake 0.000226
[1506/5000][315/535][155449] Loss_D: -0.020205 Loss_G: 0.015867 Loss_D_real: -0.011365 Loss_D_fake 0.008839
[1506/5000][320/535][155450] Loss_D: -0.019171 Loss_G: 0.025479 Loss_D_real: -0.029722 Loss_D_fake -0.010551
[1506/5000][325/535][155451] Loss_D: -0.019302 Loss_G: 0.009638 Loss_D_real: -0.016367 Loss_D_fake 0.002935
[1506/5000][330/535][155452] Loss_D: -0.019958 Loss_G: 0.027495 Loss_D_real: -0.032455 Loss_D_fake -0.012496
[1506/5000][335/535][155453] Loss_D: -0.020691 Loss_G: -0.001500 Loss_D_real: -0.016048 Loss_D_fake 0.004643
[1506/5000][340/535][155454] Loss_D: -0.018198 Loss_G: 0.009759 Loss_D_real: -0.027276 Loss_D_fake -0.009078
[1506/5000][345/535][155455] Loss_D: -0.020059 Loss_G: 0.012047 Loss_D_real: -0.019259 Loss_D_fake 0.000800
[1506/5000][350/535][155456] Loss_D: -0.019929 Loss_G: -0.007463 Loss_D_real: -0.001534 Loss_D_fake 0.018395
[1506/5000][355/535][155457] Loss_D: -0.019094 Loss_G: 0.014056 Loss_D_real: -0.025222 Loss_D_fake -0.006128
[1506/5000][360/535][155458] Loss_D: -0.019522 Loss_G: 0.001651 Loss_D_real: -0.010883 Loss_D_fake 0.008639
[1506/5000][365/535][155459] Loss_D: -0.019740 Loss_G: -0.000017 Loss_D_real: -0.010169 Loss_D_fake 0.009571
[1506/5000][370/535][155460] Loss_D: -0.019395 Loss_G: 0.024147 Loss_D_real: -0.026268 Loss_D_fake -0.006872
[1506/5000][375/535][155461] Loss_D: -0.019313 Loss_G: 0.016451 Loss_D_real: -0.030265 Loss_D_fake -0.010952
[1506/5000][380/535][155462] Loss_D: -0.019495 Loss_G: 0.014460 Loss_D_real: -0.022768 Loss_D_fake -0.003272
[1506/5000][385/535][155463] Loss_D: -0.019341 Loss_G: 0.015353 Loss_D_real: -0.017853 Loss_D_fake 0.001487
[1506/5000][390/535][155464] Loss_D: -0.018717 Loss_G: 0.025536 Loss_D_real: -0.033744 Loss_D_fake -0.015027
[1506/5000][395/535][155465] Loss_D: -0.018994 Loss_G: 0.001808 Loss_D_real: -0.017500 Loss_D_fake 0.001494
[1506/5000][400/535][155466] Loss_D: -0.018610 Loss_G: -0.011857 Loss_D_real: -0.005801 Loss_D_fake 0.012809
[1506/5000][405/535][155467] Loss_D: -0.019450 Loss_G: 0.014838 Loss_D_real: -0.024312 Loss_D_fake -0.004862
[1506/5000][410/535][155468] Loss_D: -0.019295 Loss_G: -0.006526 Loss_D_real: 0.000124 Loss_D_fake 0.019419
[1506/5000][415/535][155469] Loss_D: -0.019372 Loss_G: 0.007418 Loss_D_real: -0.029904 Loss_D_fake -0.010532
[1506/5000][420/535][155470] Loss_D: -0.019779 Loss_G: -0.029465 Loss_D_real: 0.000705 Loss_D_fake 0.020483
[1506/5000][425/535][155471] Loss_D: -0.019870 Loss_G: 0.015345 Loss_D_real: -0.015118 Loss_D_fake 0.004751
[1506/5000][430/535][155472] Loss_D: -0.018781 Loss_G: -0.016873 Loss_D_real: 0.000866 Loss_D_fake 0.019647
[1506/5000][435/535][155473] Loss_D: -0.019444 Loss_G: 0.014471 Loss_D_real: -0.023464 Loss_D_fake -0.004020
[1506/5000][440/535][155474] Loss_D: -0.019561 Loss_G: 0.013722 Loss_D_real: -0.012601 Loss_D_fake 0.006959
[1506/5000][445/535][155475] Loss_D: -0.019859 Loss_G: -0.002342 Loss_D_real: -0.010835 Loss_D_fake 0.009024
[1506/5000][450/535][155476] Loss_D: -0.020979 Loss_G: 0.009662 Loss_D_real: -0.014654 Loss_D_fake 0.006325
[1506/5000][455/535][155477] Loss_D: -0.020885 Loss_G: -0.002407 Loss_D_real: 0.001266 Loss_D_fake 0.022151
[1506/5000][460/535][155478] Loss_D: -0.020444 Loss_G: 0.003553 Loss_D_real: -0.009976 Loss_D_fake 0.010467
[1506/5000][465/535][155479] Loss_D: -0.022040 Loss_G: 0.007191 Loss_D_real: -0.000736 Loss_D_fake 0.021304
[1506/5000][470/535][155480] Loss_D: -0.021516 Loss_G: 0.004906 Loss_D_real: -0.012274 Loss_D_fake 0.009243
[1506/5000][475/535][155481] Loss_D: -0.021863 Loss_G: 0.002527 Loss_D_real: -0.014360 Loss_D_fake 0.007503
[1506/5000][480/535][155482] Loss_D: -0.021435 Loss_G: 0.014510 Loss_D_real: -0.013801 Loss_D_fake 0.007634
[1506/5000][485/535][155483] Loss_D: -0.020765 Loss_G: 0.006780 Loss_D_real: -0.016043 Loss_D_fake 0.004722
[1506/5000][490/535][155484] Loss_D: -0.019138 Loss_G: 0.017962 Loss_D_real: -0.028328 Loss_D_fake -0.009190
[1506/5000][495/535][155485] Loss_D: -0.020305 Loss_G: 0.018445 Loss_D_real: -0.025993 Loss_D_fake -0.005688
[1506/5000][500/535][155486] Loss_D: -0.021465 Loss_G: 0.005066 Loss_D_real: -0.019658 Loss_D_fake 0.001807
[1506/5000][505/535][155487] Loss_D: -0.020489 Loss_G: 0.004739 Loss_D_real: -0.016254 Loss_D_fake 0.004234
[1506/5000][510/535][155488] Loss_D: -0.020179 Loss_G: 0.003256 Loss_D_real: -0.018447 Loss_D_fake 0.001732
[1506/5000][515/535][155489] Loss_D: -0.019730 Loss_G: -0.002235 Loss_D_real: -0.007210 Loss_D_fake 0.012520
[1506/5000][520/535][155490] Loss_D: -0.020471 Loss_G: 0.001436 Loss_D_real: -0.010152 Loss_D_fake 0.010319
[1506/5000][525/535][155491] Loss_D: -0.020071 Loss_G: 0.012869 Loss_D_real: -0.021823 Loss_D_fake -0.001752
[1506/5000][530/535][155492] Loss_D: -0.020845 Loss_G: -0.002724 Loss_D_real: -0.020984 Loss_D_fake -0.000139
[1506/5000][535/535][155493] Loss_D: -0.019286 Loss_G: 0.016228 Loss_D_real: -0.012313 Loss_D_fake 0.006973
[1507/5000][5/535][155494] Loss_D: -0.020430 Loss_G: 0.017809 Loss_D_real: -0.023429 Loss_D_fake -0.002999
[1507/5000][10/535][155495] Loss_D: -0.019384 Loss_G: 0.002877 Loss_D_real: -0.017836 Loss_D_fake 0.001549
[1507/5000][15/535][155496] Loss_D: -0.020668 Loss_G: 0.016181 Loss_D_real: -0.025271 Loss_D_fake -0.004603
[1507/5000][20/535][155497] Loss_D: -0.019397 Loss_G: 0.009679 Loss_D_real: -0.023655 Loss_D_fake -0.004258
[1507/5000][25/535][155498] Loss_D: -0.021136 Loss_G: 0.005784 Loss_D_real: -0.023565 Loss_D_fake -0.002429
[1507/5000][30/535][155499] Loss_D: -0.019597 Loss_G: 0.005962 Loss_D_real: -0.022807 Loss_D_fake -0.003210
[1507/5000][35/535][155500] Loss_D: -0.019636 Loss_G: 0.023767 Loss_D_real: -0.034577 Loss_D_fake -0.014940
[1507/5000][135/535][155501] Loss_D: -0.020476 Loss_G: 0.006601 Loss_D_real: -0.010623 Loss_D_fake 0.009852
[1507/5000][140/535][155502] Loss_D: -0.019763 Loss_G: -0.002223 Loss_D_real: -0.004755 Loss_D_fake 0.015009
[1507/5000][145/535][155503] Loss_D: -0.018124 Loss_G: 0.005230 Loss_D_real: -0.012858 Loss_D_fake 0.005266
[1507/5000][150/535][155504] Loss_D: -0.018730 Loss_G: 0.001613 Loss_D_real: -0.026006 Loss_D_fake -0.007276
[1507/5000][155/535][155505] Loss_D: -0.017057 Loss_G: -0.003299 Loss_D_real: -0.003366 Loss_D_fake 0.013692
[1507/5000][160/535][155506] Loss_D: -0.017930 Loss_G: 0.001493 Loss_D_real: -0.024579 Loss_D_fake -0.006650
[1507/5000][165/535][155507] Loss_D: -0.018300 Loss_G: 0.009983 Loss_D_real: -0.024815 Loss_D_fake -0.006515
[1507/5000][170/535][155508] Loss_D: -0.019012 Loss_G: 0.006800 Loss_D_real: -0.021460 Loss_D_fake -0.002449
[1507/5000][175/535][155509] Loss_D: -0.019460 Loss_G: 0.004055 Loss_D_real: -0.004105 Loss_D_fake 0.015355
[1507/5000][180/535][155510] Loss_D: -0.017656 Loss_G: 0.020808 Loss_D_real: -0.033144 Loss_D_fake -0.015487
[1507/5000][185/535][155511] Loss_D: -0.019236 Loss_G: -0.002519 Loss_D_real: -0.007504 Loss_D_fake 0.011732
[1507/5000][190/535][155512] Loss_D: -0.019470 Loss_G: 0.013631 Loss_D_real: -0.012609 Loss_D_fake 0.006861
[1507/5000][195/535][155513] Loss_D: -0.019796 Loss_G: 0.013449 Loss_D_real: -0.018572 Loss_D_fake 0.001225
[1507/5000][200/535][155514] Loss_D: -0.018515 Loss_G: 0.019268 Loss_D_real: -0.027037 Loss_D_fake -0.008522
[1507/5000][205/535][155515] Loss_D: -0.019743 Loss_G: 0.009102 Loss_D_real: -0.013593 Loss_D_fake 0.006150
[1507/5000][210/535][155516] Loss_D: -0.019981 Loss_G: 0.003263 Loss_D_real: -0.024254 Loss_D_fake -0.004274
[1507/5000][215/535][155517] Loss_D: -0.020469 Loss_G: 0.010379 Loss_D_real: -0.028177 Loss_D_fake -0.007708
[1507/5000][220/535][155518] Loss_D: -0.021251 Loss_G: 0.000320 Loss_D_real: -0.005655 Loss_D_fake 0.015596
[1507/5000][225/535][155519] Loss_D: -0.019058 Loss_G: -0.001030 Loss_D_real: -0.018805 Loss_D_fake 0.000253
[1507/5000][230/535][155520] Loss_D: -0.020742 Loss_G: 0.001300 Loss_D_real: -0.008111 Loss_D_fake 0.012631
[1507/5000][235/535][155521] Loss_D: -0.019655 Loss_G: -0.007843 Loss_D_real: -0.017983 Loss_D_fake 0.001673
[1507/5000][240/535][155522] Loss_D: -0.019996 Loss_G: -0.004231 Loss_D_real: -0.010586 Loss_D_fake 0.009410
[1507/5000][245/535][155523] Loss_D: -0.018114 Loss_G: 0.020279 Loss_D_real: -0.027598 Loss_D_fake -0.009484
[1507/5000][250/535][155524] Loss_D: -0.020402 Loss_G: 0.023505 Loss_D_real: -0.026475 Loss_D_fake -0.006073
[1507/5000][255/535][155525] Loss_D: -0.018961 Loss_G: 0.007144 Loss_D_real: -0.019976 Loss_D_fake -0.001014
[1507/5000][260/535][155526] Loss_D: -0.019971 Loss_G: 0.000112 Loss_D_real: -0.010827 Loss_D_fake 0.009144
[1507/5000][265/535][155527] Loss_D: -0.018708 Loss_G: 0.006199 Loss_D_real: -0.013674 Loss_D_fake 0.005035
[1507/5000][270/535][155528] Loss_D: -0.020160 Loss_G: -0.004300 Loss_D_real: -0.014531 Loss_D_fake 0.005630
[1507/5000][275/535][155529] Loss_D: -0.018462 Loss_G: -0.009738 Loss_D_real: -0.000598 Loss_D_fake 0.017864
[1507/5000][280/535][155530] Loss_D: -0.019382 Loss_G: -0.014210 Loss_D_real: -0.013883 Loss_D_fake 0.005499
[1507/5000][285/535][155531] Loss_D: -0.018894 Loss_G: -0.000112 Loss_D_real: -0.012467 Loss_D_fake 0.006427
[1507/5000][290/535][155532] Loss_D: -0.019522 Loss_G: 0.006174 Loss_D_real: -0.025932 Loss_D_fake -0.006410
[1507/5000][295/535][155533] Loss_D: -0.020623 Loss_G: 0.008223 Loss_D_real: -0.014904 Loss_D_fake 0.005719
[1507/5000][300/535][155534] Loss_D: -0.019683 Loss_G: 0.014407 Loss_D_real: -0.024250 Loss_D_fake -0.004567
[1507/5000][305/535][155535] Loss_D: -0.022274 Loss_G: 0.024695 Loss_D_real: -0.030170 Loss_D_fake -0.007896
[1507/5000][310/535][155536] Loss_D: -0.018256 Loss_G: 0.020683 Loss_D_real: -0.029025 Loss_D_fake -0.010770
[1507/5000][315/535][155537] Loss_D: -0.020352 Loss_G: 0.018820 Loss_D_real: -0.027259 Loss_D_fake -0.006907
[1507/5000][320/535][155538] Loss_D: -0.021096 Loss_G: 0.010500 Loss_D_real: -0.012276 Loss_D_fake 0.008820
[1507/5000][325/535][155539] Loss_D: -0.020992 Loss_G: 0.010368 Loss_D_real: -0.022748 Loss_D_fake -0.001756
[1507/5000][330/535][155540] Loss_D: -0.018827 Loss_G: -0.008175 Loss_D_real: 0.000648 Loss_D_fake 0.019475
[1507/5000][335/535][155541] Loss_D: -0.019689 Loss_G: 0.006493 Loss_D_real: -0.012241 Loss_D_fake 0.007448
[1507/5000][340/535][155542] Loss_D: -0.019654 Loss_G: 0.005320 Loss_D_real: -0.008365 Loss_D_fake 0.011290
[1507/5000][345/535][155543] Loss_D: -0.020497 Loss_G: 0.009377 Loss_D_real: -0.013257 Loss_D_fake 0.007240
[1507/5000][350/535][155544] Loss_D: -0.019965 Loss_G: 0.011351 Loss_D_real: -0.019264 Loss_D_fake 0.000700
[1507/5000][355/535][155545] Loss_D: -0.020327 Loss_G: 0.005328 Loss_D_real: -0.015500 Loss_D_fake 0.004827
[1507/5000][360/535][155546] Loss_D: -0.019584 Loss_G: 0.025226 Loss_D_real: -0.035492 Loss_D_fake -0.015908
[1507/5000][365/535][155547] Loss_D: -0.019815 Loss_G: -0.002469 Loss_D_real: 0.001931 Loss_D_fake 0.021746
[1507/5000][370/535][155548] Loss_D: -0.019398 Loss_G: 0.011014 Loss_D_real: -0.027227 Loss_D_fake -0.007829
[1507/5000][375/535][155549] Loss_D: -0.020464 Loss_G: -0.011258 Loss_D_real: 0.001128 Loss_D_fake 0.021592
[1507/5000][380/535][155550] Loss_D: -0.019262 Loss_G: 0.017450 Loss_D_real: -0.023463 Loss_D_fake -0.004200
[1507/5000][385/535][155551] Loss_D: -0.019785 Loss_G: -0.014177 Loss_D_real: -0.001495 Loss_D_fake 0.018290
[1507/5000][390/535][155552] Loss_D: -0.020404 Loss_G: 0.006621 Loss_D_real: -0.017127 Loss_D_fake 0.003277
[1507/5000][395/535][155553] Loss_D: -0.020531 Loss_G: 0.004919 Loss_D_real: -0.000212 Loss_D_fake 0.020319
[1507/5000][400/535][155554] Loss_D: -0.019916 Loss_G: 0.011889 Loss_D_real: -0.033187 Loss_D_fake -0.013272
[1507/5000][405/535][155555] Loss_D: -0.021169 Loss_G: 0.021869 Loss_D_real: -0.022540 Loss_D_fake -0.001371
[1507/5000][410/535][155556] Loss_D: -0.020852 Loss_G: 0.001449 Loss_D_real: -0.003358 Loss_D_fake 0.017494
[1507/5000][415/535][155557] Loss_D: -0.019588 Loss_G: 0.017404 Loss_D_real: -0.024228 Loss_D_fake -0.004640
[1507/5000][420/535][155558] Loss_D: -0.020243 Loss_G: -0.004395 Loss_D_real: -0.001618 Loss_D_fake 0.018625
[1507/5000][425/535][155559] Loss_D: -0.020417 Loss_G: -0.001494 Loss_D_real: -0.013007 Loss_D_fake 0.007411
[1507/5000][430/535][155560] Loss_D: -0.018466 Loss_G: 0.029144 Loss_D_real: -0.014495 Loss_D_fake 0.003972
[1507/5000][435/535][155561] Loss_D: -0.020590 Loss_G: 0.002120 Loss_D_real: -0.004315 Loss_D_fake 0.016275
[1507/5000][440/535][155562] Loss_D: -0.020532 Loss_G: 0.013943 Loss_D_real: -0.013549 Loss_D_fake 0.006983
[1507/5000][445/535][155563] Loss_D: -0.020633 Loss_G: 0.013617 Loss_D_real: -0.025925 Loss_D_fake -0.005292
[1507/5000][450/535][155564] Loss_D: -0.019592 Loss_G: 0.007711 Loss_D_real: -0.025853 Loss_D_fake -0.006262
[1507/5000][455/535][155565] Loss_D: -0.019668 Loss_G: 0.002895 Loss_D_real: -0.015728 Loss_D_fake 0.003940
[1507/5000][460/535][155566] Loss_D: -0.019545 Loss_G: -0.010383 Loss_D_real: -0.017215 Loss_D_fake 0.002330
[1507/5000][465/535][155567] Loss_D: -0.019039 Loss_G: 0.021957 Loss_D_real: -0.019906 Loss_D_fake -0.000867
[1507/5000][470/535][155568] Loss_D: -0.020384 Loss_G: -0.005032 Loss_D_real: 0.001373 Loss_D_fake 0.021757
[1507/5000][475/535][155569] Loss_D: -0.019726 Loss_G: -0.006586 Loss_D_real: -0.013627 Loss_D_fake 0.006099
[1507/5000][480/535][155570] Loss_D: -0.020302 Loss_G: 0.005162 Loss_D_real: -0.006039 Loss_D_fake 0.014263
[1507/5000][485/535][155571] Loss_D: -0.018785 Loss_G: -0.011824 Loss_D_real: -0.005589 Loss_D_fake 0.013196
[1507/5000][490/535][155572] Loss_D: -0.019426 Loss_G: 0.011441 Loss_D_real: -0.015781 Loss_D_fake 0.003645
[1507/5000][495/535][155573] Loss_D: -0.020515 Loss_G: 0.005443 Loss_D_real: -0.004052 Loss_D_fake 0.016463
[1507/5000][500/535][155574] Loss_D: -0.018845 Loss_G: 0.012980 Loss_D_real: -0.009630 Loss_D_fake 0.009215
[1507/5000][505/535][155575] Loss_D: -0.019591 Loss_G: 0.005259 Loss_D_real: -0.023108 Loss_D_fake -0.003517
[1507/5000][510/535][155576] Loss_D: -0.019010 Loss_G: 0.017714 Loss_D_real: -0.022571 Loss_D_fake -0.003561
[1507/5000][515/535][155577] Loss_D: -0.017135 Loss_G: -0.009027 Loss_D_real: 0.009062 Loss_D_fake 0.026197
[1507/5000][520/535][155578] Loss_D: -0.019879 Loss_G: 0.014803 Loss_D_real: -0.023859 Loss_D_fake -0.003979
[1507/5000][525/535][155579] Loss_D: -0.019714 Loss_G: -0.005862 Loss_D_real: 0.002433 Loss_D_fake 0.022147
[1507/5000][530/535][155580] Loss_D: -0.018125 Loss_G: 0.008298 Loss_D_real: -0.006775 Loss_D_fake 0.011351
[1507/5000][535/535][155581] Loss_D: -0.018937 Loss_G: -0.005654 Loss_D_real: -0.018608 Loss_D_fake 0.000329
[1508/5000][5/535][155582] Loss_D: -0.020646 Loss_G: 0.021158 Loss_D_real: -0.016253 Loss_D_fake 0.004393
[1508/5000][10/535][155583] Loss_D: -0.018950 Loss_G: 0.001195 Loss_D_real: -0.019377 Loss_D_fake -0.000426
[1508/5000][15/535][155584] Loss_D: -0.019206 Loss_G: 0.012620 Loss_D_real: -0.002208 Loss_D_fake 0.016997
[1508/5000][20/535][155585] Loss_D: -0.021281 Loss_G: 0.006225 Loss_D_real: -0.022320 Loss_D_fake -0.001039
[1508/5000][25/535][155586] Loss_D: -0.020541 Loss_G: -0.003853 Loss_D_real: -0.015091 Loss_D_fake 0.005450
[1508/5000][30/535][155587] Loss_D: -0.019983 Loss_G: -0.005176 Loss_D_real: 0.000174 Loss_D_fake 0.020157
[1508/5000][35/535][155588] Loss_D: -0.020009 Loss_G: -0.004320 Loss_D_real: -0.013515 Loss_D_fake 0.006494
[1508/5000][40/535][155589] Loss_D: -0.018539 Loss_G: -0.015663 Loss_D_real: 0.005178 Loss_D_fake 0.023717
[1508/5000][45/535][155590] Loss_D: -0.018519 Loss_G: 0.000923 Loss_D_real: -0.010285 Loss_D_fake 0.008234
[1508/5000][50/535][155591] Loss_D: -0.019709 Loss_G: 0.009003 Loss_D_real: -0.017049 Loss_D_fake 0.002660
[1508/5000][55/535][155592] Loss_D: -0.021770 Loss_G: -0.006035 Loss_D_real: -0.009735 Loss_D_fake 0.012035
[1508/5000][60/535][155593] Loss_D: -0.020473 Loss_G: 0.009365 Loss_D_real: -0.005905 Loss_D_fake 0.014568
[1508/5000][65/535][155594] Loss_D: -0.020237 Loss_G: 0.009155 Loss_D_real: -0.012919 Loss_D_fake 0.007318
[1508/5000][70/535][155595] Loss_D: -0.019607 Loss_G: 0.015072 Loss_D_real: -0.008530 Loss_D_fake 0.011077
[1508/5000][75/535][155596] Loss_D: -0.020062 Loss_G: -0.010060 Loss_D_real: -0.009233 Loss_D_fake 0.010829
[1508/5000][80/535][155597] Loss_D: -0.019617 Loss_G: 0.011374 Loss_D_real: -0.014200 Loss_D_fake 0.005417
[1508/5000][85/535][155598] Loss_D: -0.020885 Loss_G: -0.002237 Loss_D_real: -0.016550 Loss_D_fake 0.004335
[1508/5000][90/535][155599] Loss_D: -0.020331 Loss_G: 0.018044 Loss_D_real: -0.018815 Loss_D_fake 0.001516
[1508/5000][95/535][155600] Loss_D: -0.020809 Loss_G: -0.000553 Loss_D_real: -0.014814 Loss_D_fake 0.005995
[1508/5000][100/535][155601] Loss_D: -0.020671 Loss_G: 0.009149 Loss_D_real: -0.010552 Loss_D_fake 0.010119
[1508/5000][105/535][155602] Loss_D: -0.019684 Loss_G: -0.023966 Loss_D_real: -0.000543 Loss_D_fake 0.019141
[1508/5000][110/535][155603] Loss_D: -0.019845 Loss_G: 0.003533 Loss_D_real: -0.014091 Loss_D_fake 0.005754
[1508/5000][115/535][155604] Loss_D: -0.020419 Loss_G: -0.004611 Loss_D_real: -0.001368 Loss_D_fake 0.019051
[1508/5000][120/535][155605] Loss_D: -0.017793 Loss_G: -0.020889 Loss_D_real: -0.004161 Loss_D_fake 0.013632
[1508/5000][125/535][155606] Loss_D: -0.021081 Loss_G: 0.000924 Loss_D_real: -0.017663 Loss_D_fake 0.003418
[1508/5000][130/535][155607] Loss_D: -0.020169 Loss_G: 0.026747 Loss_D_real: -0.022673 Loss_D_fake -0.002504
[1508/5000][135/535][155608] Loss_D: -0.019268 Loss_G: 0.003269 Loss_D_real: -0.015635 Loss_D_fake 0.003633
[1508/5000][140/535][155609] Loss_D: -0.020297 Loss_G: 0.009410 Loss_D_real: -0.022617 Loss_D_fake -0.002320
[1508/5000][145/535][155610] Loss_D: -0.019326 Loss_G: 0.027611 Loss_D_real: -0.034390 Loss_D_fake -0.015064
[1508/5000][150/535][155611] Loss_D: -0.019789 Loss_G: 0.018546 Loss_D_real: -0.020415 Loss_D_fake -0.000626
[1508/5000][155/535][155612] Loss_D: -0.018812 Loss_G: -0.006403 Loss_D_real: -0.012242 Loss_D_fake 0.006570
[1508/5000][160/535][155613] Loss_D: -0.018953 Loss_G: 0.005237 Loss_D_real: -0.024654 Loss_D_fake -0.005701
[1508/5000][165/535][155614] Loss_D: -0.020495 Loss_G: 0.000150 Loss_D_real: -0.009406 Loss_D_fake 0.011089
[1508/5000][170/535][155615] Loss_D: -0.020057 Loss_G: 0.004331 Loss_D_real: -0.012577 Loss_D_fake 0.007480
[1508/5000][175/535][155616] Loss_D: -0.020243 Loss_G: 0.006899 Loss_D_real: -0.013840 Loss_D_fake 0.006403
[1508/5000][180/535][155617] Loss_D: -0.020838 Loss_G: 0.023343 Loss_D_real: -0.021686 Loss_D_fake -0.000848
[1508/5000][185/535][155618] Loss_D: -0.020033 Loss_G: 0.019365 Loss_D_real: -0.021457 Loss_D_fake -0.001424
[1508/5000][190/535][155619] Loss_D: -0.019812 Loss_G: 0.008949 Loss_D_real: -0.022020 Loss_D_fake -0.002208
[1508/5000][195/535][155620] Loss_D: -0.017724 Loss_G: 0.030911 Loss_D_real: -0.034955 Loss_D_fake -0.017230
[1508/5000][200/535][155621] Loss_D: -0.020139 Loss_G: -0.001125 Loss_D_real: -0.010122 Loss_D_fake 0.010017
[1508/5000][205/535][155622] Loss_D: -0.020209 Loss_G: 0.001542 Loss_D_real: -0.000166 Loss_D_fake 0.020043
[1508/5000][210/535][155623] Loss_D: -0.020487 Loss_G: 0.017348 Loss_D_real: -0.020353 Loss_D_fake 0.000134
[1508/5000][215/535][155624] Loss_D: -0.019122 Loss_G: 0.002915 Loss_D_real: -0.017264 Loss_D_fake 0.001857
[1508/5000][220/535][155625] Loss_D: -0.021613 Loss_G: 0.010525 Loss_D_real: -0.016567 Loss_D_fake 0.005046
[1508/5000][225/535][155626] Loss_D: -0.020195 Loss_G: 0.003741 Loss_D_real: -0.008813 Loss_D_fake 0.011382
[1508/5000][230/535][155627] Loss_D: -0.019182 Loss_G: 0.020388 Loss_D_real: -0.018148 Loss_D_fake 0.001034
[1508/5000][235/535][155628] Loss_D: -0.021005 Loss_G: 0.001936 Loss_D_real: -0.003088 Loss_D_fake 0.017916
[1508/5000][240/535][155629] Loss_D: -0.019933 Loss_G: 0.011232 Loss_D_real: -0.020477 Loss_D_fake -0.000545
[1508/5000][245/535][155630] Loss_D: -0.019132 Loss_G: -0.000150 Loss_D_real: 0.000351 Loss_D_fake 0.019483
[1508/5000][250/535][155631] Loss_D: -0.021486 Loss_G: -0.002143 Loss_D_real: 0.004664 Loss_D_fake 0.026151
[1508/5000][255/535][155632] Loss_D: -0.020976 Loss_G: 0.009580 Loss_D_real: -0.023280 Loss_D_fake -0.002305
[1508/5000][260/535][155633] Loss_D: -0.019324 Loss_G: -0.004239 Loss_D_real: -0.009066 Loss_D_fake 0.010258
[1508/5000][265/535][155634] Loss_D: -0.020510 Loss_G: 0.016964 Loss_D_real: -0.019018 Loss_D_fake 0.001492
[1508/5000][270/535][155635] Loss_D: -0.019642 Loss_G: -0.012754 Loss_D_real: -0.008389 Loss_D_fake 0.011253
[1508/5000][275/535][155636] Loss_D: -0.019412 Loss_G: -0.000689 Loss_D_real: -0.018133 Loss_D_fake 0.001279
[1508/5000][280/535][155637] Loss_D: -0.020535 Loss_G: 0.012764 Loss_D_real: -0.030042 Loss_D_fake -0.009507
[1508/5000][285/535][155638] Loss_D: -0.020117 Loss_G: -0.005560 Loss_D_real: -0.018332 Loss_D_fake 0.001784
[1508/5000][290/535][155639] Loss_D: -0.020256 Loss_G: -0.001687 Loss_D_real: 0.001894 Loss_D_fake 0.022150
[1508/5000][295/535][155640] Loss_D: -0.018647 Loss_G: 0.007079 Loss_D_real: -0.005356 Loss_D_fake 0.013291
[1508/5000][300/535][155641] Loss_D: -0.018499 Loss_G: -0.006258 Loss_D_real: -0.007040 Loss_D_fake 0.011459
[1508/5000][305/535][155642] Loss_D: -0.017889 Loss_G: -0.013417 Loss_D_real: -0.000884 Loss_D_fake 0.017005
[1508/5000][310/535][155643] Loss_D: -0.019032 Loss_G: 0.009389 Loss_D_real: -0.026859 Loss_D_fake -0.007827
[1508/5000][315/535][155644] Loss_D: -0.018775 Loss_G: -0.001589 Loss_D_real: -0.008683 Loss_D_fake 0.010092
[1508/5000][320/535][155645] Loss_D: -0.019327 Loss_G: 0.025260 Loss_D_real: -0.036830 Loss_D_fake -0.017503
[1508/5000][325/535][155646] Loss_D: -0.019616 Loss_G: -0.005664 Loss_D_real: -0.003688 Loss_D_fake 0.015929
[1508/5000][330/535][155647] Loss_D: -0.018005 Loss_G: 0.025911 Loss_D_real: -0.034182 Loss_D_fake -0.016177
[1508/5000][335/535][155648] Loss_D: -0.021902 Loss_G: 0.006769 Loss_D_real: -0.016006 Loss_D_fake 0.005895
[1508/5000][340/535][155649] Loss_D: -0.018358 Loss_G: 0.026701 Loss_D_real: -0.043097 Loss_D_fake -0.024739
[1508/5000][345/535][155650] Loss_D: -0.019708 Loss_G: 0.005719 Loss_D_real: -0.022461 Loss_D_fake -0.002752
[1508/5000][350/535][155651] Loss_D: -0.019779 Loss_G: 0.011953 Loss_D_real: -0.022254 Loss_D_fake -0.002474
[1508/5000][355/535][155652] Loss_D: -0.020342 Loss_G: 0.009330 Loss_D_real: -0.024220 Loss_D_fake -0.003878
[1508/5000][360/535][155653] Loss_D: -0.019337 Loss_G: 0.014134 Loss_D_real: -0.000188 Loss_D_fake 0.019149
[1508/5000][365/535][155654] Loss_D: -0.019714 Loss_G: 0.033491 Loss_D_real: -0.024871 Loss_D_fake -0.005157
[1508/5000][370/535][155655] Loss_D: -0.019489 Loss_G: 0.002683 Loss_D_real: -0.024330 Loss_D_fake -0.004841
[1508/5000][375/535][155656] Loss_D: -0.019530 Loss_G: 0.011560 Loss_D_real: -0.018081 Loss_D_fake 0.001449
[1508/5000][380/535][155657] Loss_D: -0.021085 Loss_G: 0.002997 Loss_D_real: -0.011770 Loss_D_fake 0.009314
[1508/5000][385/535][155658] Loss_D: -0.020588 Loss_G: 0.013320 Loss_D_real: -0.020820 Loss_D_fake -0.000232
[1508/5000][390/535][155659] Loss_D: -0.019643 Loss_G: 0.016808 Loss_D_real: -0.022250 Loss_D_fake -0.002606
[1508/5000][395/535][155660] Loss_D: -0.020995 Loss_G: -0.024893 Loss_D_real: -0.007306 Loss_D_fake 0.013689
[1508/5000][400/535][155661] Loss_D: -0.020687 Loss_G: 0.007773 Loss_D_real: -0.006075 Loss_D_fake 0.014612
[1508/5000][405/535][155662] Loss_D: -0.018382 Loss_G: -0.009574 Loss_D_real: -0.015743 Loss_D_fake 0.002638
[1508/5000][410/535][155663] Loss_D: -0.019704 Loss_G: 0.011837 Loss_D_real: -0.022894 Loss_D_fake -0.003190
[1508/5000][415/535][155664] Loss_D: -0.020825 Loss_G: 0.025184 Loss_D_real: -0.015737 Loss_D_fake 0.005087
[1508/5000][420/535][155665] Loss_D: -0.019012 Loss_G: 0.006881 Loss_D_real: -0.009286 Loss_D_fake 0.009726
[1508/5000][425/535][155666] Loss_D: -0.018935 Loss_G: 0.008672 Loss_D_real: -0.012768 Loss_D_fake 0.006167
[1508/5000][430/535][155667] Loss_D: -0.019556 Loss_G: -0.011213 Loss_D_real: -0.008116 Loss_D_fake 0.011440
[1508/5000][435/535][155668] Loss_D: -0.019257 Loss_G: 0.009347 Loss_D_real: -0.020131 Loss_D_fake -0.000875
[1508/5000][440/535][155669] Loss_D: -0.018109 Loss_G: 0.017325 Loss_D_real: -0.022385 Loss_D_fake -0.004276
[1508/5000][445/535][155670] Loss_D: -0.020333 Loss_G: 0.015410 Loss_D_real: -0.019472 Loss_D_fake 0.000861
[1508/5000][450/535][155671] Loss_D: -0.018168 Loss_G: -0.017022 Loss_D_real: -0.011476 Loss_D_fake 0.006693
[1508/5000][455/535][155672] Loss_D: -0.018865 Loss_G: 0.011294 Loss_D_real: -0.021107 Loss_D_fake -0.002241
[1508/5000][460/535][155673] Loss_D: -0.018888 Loss_G: -0.003018 Loss_D_real: -0.008298 Loss_D_fake 0.010590
[1508/5000][465/535][155674] Loss_D: -0.020285 Loss_G: 0.005234 Loss_D_real: -0.016840 Loss_D_fake 0.003446
[1508/5000][470/535][155675] Loss_D: -0.018991 Loss_G: -0.004195 Loss_D_real: -0.020124 Loss_D_fake -0.001133
[1508/5000][475/535][155676] Loss_D: -0.018820 Loss_G: 0.027875 Loss_D_real: -0.017875 Loss_D_fake 0.000945
[1508/5000][480/535][155677] Loss_D: -0.020160 Loss_G: 0.015852 Loss_D_real: -0.019023 Loss_D_fake 0.001136
[1508/5000][485/535][155678] Loss_D: -0.018913 Loss_G: -0.005015 Loss_D_real: -0.001694 Loss_D_fake 0.017219
[1508/5000][490/535][155679] Loss_D: -0.020039 Loss_G: 0.012505 Loss_D_real: -0.024062 Loss_D_fake -0.004023
[1508/5000][495/535][155680] Loss_D: -0.020078 Loss_G: 0.016894 Loss_D_real: -0.028529 Loss_D_fake -0.008452
[1508/5000][500/535][155681] Loss_D: -0.021113 Loss_G: -0.000909 Loss_D_real: -0.004311 Loss_D_fake 0.016802
[1508/5000][505/535][155682] Loss_D: -0.019618 Loss_G: 0.018395 Loss_D_real: -0.015670 Loss_D_fake 0.003948
[1508/5000][510/535][155683] Loss_D: -0.020550 Loss_G: 0.004363 Loss_D_real: -0.015303 Loss_D_fake 0.005247
[1508/5000][515/535][155684] Loss_D: -0.020974 Loss_G: 0.013951 Loss_D_real: -0.013714 Loss_D_fake 0.007261
[1508/5000][520/535][155685] Loss_D: -0.020732 Loss_G: -0.000396 Loss_D_real: -0.014353 Loss_D_fake 0.006379
[1508/5000][525/535][155686] Loss_D: -0.019743 Loss_G: -0.007671 Loss_D_real: -0.013676 Loss_D_fake 0.006067
[1508/5000][530/535][155687] Loss_D: -0.019372 Loss_G: 0.001700 Loss_D_real: -0.010255 Loss_D_fake 0.009116
[1508/5000][535/535][155688] Loss_D: -0.019472 Loss_G: -0.015484 Loss_D_real: -0.001148 Loss_D_fake 0.018324
[1509/5000][5/535][155689] Loss_D: -0.018437 Loss_G: -0.017611 Loss_D_real: -0.009222 Loss_D_fake 0.009215
[1509/5000][10/535][155690] Loss_D: -0.018850 Loss_G: 0.014348 Loss_D_real: -0.033378 Loss_D_fake -0.014529
[1509/5000][15/535][155691] Loss_D: -0.019337 Loss_G: -0.001442 Loss_D_real: -0.015131 Loss_D_fake 0.004206
[1509/5000][20/535][155692] Loss_D: -0.019314 Loss_G: 0.028842 Loss_D_real: -0.032041 Loss_D_fake -0.012727
[1509/5000][25/535][155693] Loss_D: -0.019859 Loss_G: 0.012715 Loss_D_real: -0.012924 Loss_D_fake 0.006935
[1509/5000][30/535][155694] Loss_D: -0.019239 Loss_G: -0.017837 Loss_D_real: -0.002344 Loss_D_fake 0.016896
[1509/5000][35/535][155695] Loss_D: -0.018823 Loss_G: 0.014155 Loss_D_real: -0.014947 Loss_D_fake 0.003876
[1509/5000][40/535][155696] Loss_D: -0.019560 Loss_G: 0.004127 Loss_D_real: -0.021003 Loss_D_fake -0.001443
[1509/5000][45/535][155697] Loss_D: -0.019603 Loss_G: 0.020102 Loss_D_real: -0.019661 Loss_D_fake -0.000058
[1509/5000][50/535][155698] Loss_D: -0.018249 Loss_G: -0.014404 Loss_D_real: 0.007601 Loss_D_fake 0.025850
[1509/5000][55/535][155699] Loss_D: -0.019847 Loss_G: 0.015483 Loss_D_real: -0.019113 Loss_D_fake 0.000734
[1509/5000][60/535][155700] Loss_D: -0.020768 Loss_G: -0.009136 Loss_D_real: -0.017460 Loss_D_fake 0.003308
[1509/5000][65/535][155701] Loss_D: -0.020267 Loss_G: 0.019083 Loss_D_real: -0.019967 Loss_D_fake 0.000300
[1509/5000][70/535][155702] Loss_D: -0.018541 Loss_G: 0.004594 Loss_D_real: -0.025032 Loss_D_fake -0.006490
[1509/5000][75/535][155703] Loss_D: -0.019876 Loss_G: -0.001612 Loss_D_real: 0.004369 Loss_D_fake 0.024245
[1509/5000][80/535][155704] Loss_D: -0.018158 Loss_G: 0.007156 Loss_D_real: -0.007689 Loss_D_fake 0.010468
[1509/5000][85/535][155705] Loss_D: -0.020328 Loss_G: 0.017626 Loss_D_real: -0.007207 Loss_D_fake 0.013121
[1509/5000][90/535][155706] Loss_D: -0.019415 Loss_G: 0.018004 Loss_D_real: -0.025355 Loss_D_fake -0.005940
[1509/5000][95/535][155707] Loss_D: -0.019842 Loss_G: 0.001386 Loss_D_real: -0.022358 Loss_D_fake -0.002515
[1509/5000][100/535][155708] Loss_D: -0.020167 Loss_G: -0.005589 Loss_D_real: -0.016060 Loss_D_fake 0.004107
[1509/5000][105/535][155709] Loss_D: -0.021266 Loss_G: 0.016202 Loss_D_real: -0.014216 Loss_D_fake 0.007050
[1509/5000][110/535][155710] Loss_D: -0.019237 Loss_G: 0.019764 Loss_D_real: -0.025311 Loss_D_fake -0.006074
[1509/5000][115/535][155711] Loss_D: -0.020679 Loss_G: -0.005339 Loss_D_real: -0.010522 Loss_D_fake 0.010158
[1509/5000][120/535][155712] Loss_D: -0.018652 Loss_G: 0.009271 Loss_D_real: -0.027491 Loss_D_fake -0.008839
[1509/5000][125/535][155713] Loss_D: -0.020425 Loss_G: 0.008891 Loss_D_real: -0.008723 Loss_D_fake 0.011702
[1509/5000][130/535][155714] Loss_D: -0.018658 Loss_G: 0.009218 Loss_D_real: -0.019657 Loss_D_fake -0.000999
[1509/5000][135/535][155715] Loss_D: -0.018494 Loss_G: 0.023306 Loss_D_real: -0.020001 Loss_D_fake -0.001508
[1509/5000][140/535][155716] Loss_D: -0.018829 Loss_G: 0.012161 Loss_D_real: -0.018599 Loss_D_fake 0.000230
[1509/5000][145/535][155717] Loss_D: -0.019270 Loss_G: 0.011723 Loss_D_real: -0.024960 Loss_D_fake -0.005689
[1509/5000][150/535][155718] Loss_D: -0.019868 Loss_G: 0.001388 Loss_D_real: -0.005348 Loss_D_fake 0.014520
[1509/5000][155/535][155719] Loss_D: -0.018799 Loss_G: 0.019895 Loss_D_real: -0.027280 Loss_D_fake -0.008480
[1509/5000][160/535][155720] Loss_D: -0.020920 Loss_G: 0.013660 Loss_D_real: -0.015148 Loss_D_fake 0.005772
[1509/5000][165/535][155721] Loss_D: -0.019738 Loss_G: 0.020652 Loss_D_real: -0.022397 Loss_D_fake -0.002659
[1509/5000][170/535][155722] Loss_D: -0.020720 Loss_G: 0.002035 Loss_D_real: -0.008453 Loss_D_fake 0.012267
[1509/5000][175/535][155723] Loss_D: -0.020675 Loss_G: -0.001585 Loss_D_real: -0.019058 Loss_D_fake 0.001617
[1509/5000][180/535][155724] Loss_D: -0.022067 Loss_G: 0.012388 Loss_D_real: -0.013879 Loss_D_fake 0.008188
[1509/5000][185/535][155725] Loss_D: -0.019461 Loss_G: 0.002947 Loss_D_real: -0.008000 Loss_D_fake 0.011461
[1509/5000][190/535][155726] Loss_D: -0.020646 Loss_G: 0.018898 Loss_D_real: -0.025664 Loss_D_fake -0.005018
[1509/5000][195/535][155727] Loss_D: -0.020142 Loss_G: -0.011434 Loss_D_real: -0.005014 Loss_D_fake 0.015128
[1509/5000][200/535][155728] Loss_D: -0.019406 Loss_G: 0.033589 Loss_D_real: -0.025599 Loss_D_fake -0.006193
[1509/5000][205/535][155729] Loss_D: -0.020186 Loss_G: 0.009885 Loss_D_real: -0.022602 Loss_D_fake -0.002416
[1509/5000][210/535][155730] Loss_D: -0.020582 Loss_G: 0.013316 Loss_D_real: -0.028031 Loss_D_fake -0.007449
[1509/5000][215/535][155731] Loss_D: -0.021679 Loss_G: 0.006620 Loss_D_real: -0.022792 Loss_D_fake -0.001113
[1509/5000][220/535][155732] Loss_D: -0.020467 Loss_G: 0.005854 Loss_D_real: -0.030616 Loss_D_fake -0.010149
[1509/5000][225/535][155733] Loss_D: -0.020846 Loss_G: 0.005536 Loss_D_real: -0.012092 Loss_D_fake 0.008754
[1509/5000][230/535][155734] Loss_D: -0.019768 Loss_G: 0.015778 Loss_D_real: -0.023086 Loss_D_fake -0.003318
[1509/5000][235/535][155735] Loss_D: -0.020747 Loss_G: -0.002333 Loss_D_real: -0.007155 Loss_D_fake 0.013593
[1509/5000][240/535][155736] Loss_D: -0.020214 Loss_G: 0.019197 Loss_D_real: -0.016758 Loss_D_fake 0.003455
[1509/5000][245/535][155737] Loss_D: -0.020754 Loss_G: 0.016443 Loss_D_real: -0.011379 Loss_D_fake 0.009375
[1509/5000][250/535][155738] Loss_D: -0.020799 Loss_G: 0.013189 Loss_D_real: -0.009199 Loss_D_fake 0.011600
[1509/5000][255/535][155739] Loss_D: -0.018465 Loss_G: -0.009835 Loss_D_real: -0.011034 Loss_D_fake 0.007430
[1509/5000][260/535][155740] Loss_D: -0.017802 Loss_G: 0.003604 Loss_D_real: -0.017130 Loss_D_fake 0.000672
[1509/5000][265/535][155741] Loss_D: -0.018305 Loss_G: 0.026881 Loss_D_real: -0.016362 Loss_D_fake 0.001943
[1509/5000][270/535][155742] Loss_D: -0.018409 Loss_G: -0.007367 Loss_D_real: -0.004679 Loss_D_fake 0.013730
[1509/5000][275/535][155743] Loss_D: -0.018777 Loss_G: 0.015075 Loss_D_real: -0.022731 Loss_D_fake -0.003953
[1509/5000][280/535][155744] Loss_D: -0.019825 Loss_G: 0.011950 Loss_D_real: -0.010002 Loss_D_fake 0.009823
[1509/5000][285/535][155745] Loss_D: -0.019364 Loss_G: 0.004179 Loss_D_real: -0.013954 Loss_D_fake 0.005410
[1509/5000][290/535][155746] Loss_D: -0.019836 Loss_G: 0.006273 Loss_D_real: -0.014742 Loss_D_fake 0.005095
[1509/5000][295/535][155747] Loss_D: -0.020265 Loss_G: 0.002942 Loss_D_real: 0.002295 Loss_D_fake 0.022560
[1509/5000][300/535][155748] Loss_D: -0.019359 Loss_G: 0.000549 Loss_D_real: -0.023130 Loss_D_fake -0.003771
[1509/5000][305/535][155749] Loss_D: -0.019185 Loss_G: 0.011749 Loss_D_real: -0.012142 Loss_D_fake 0.007043
[1509/5000][310/535][155750] Loss_D: -0.019490 Loss_G: -0.009727 Loss_D_real: -0.008321 Loss_D_fake 0.011169
[1509/5000][315/535][155751] Loss_D: -0.019740 Loss_G: 0.007815 Loss_D_real: -0.016732 Loss_D_fake 0.003007
[1509/5000][320/535][155752] Loss_D: -0.019720 Loss_G: 0.008053 Loss_D_real: -0.034121 Loss_D_fake -0.014401
[1509/5000][325/535][155753] Loss_D: -0.020683 Loss_G: 0.022246 Loss_D_real: -0.027632 Loss_D_fake -0.006948
[1509/5000][330/535][155754] Loss_D: -0.021288 Loss_G: 0.002559 Loss_D_real: -0.020967 Loss_D_fake 0.000321
[1509/5000][335/535][155755] Loss_D: -0.019527 Loss_G: -0.006413 Loss_D_real: -0.018057 Loss_D_fake 0.001470
[1509/5000][340/535][155756] Loss_D: -0.021369 Loss_G: 0.016106 Loss_D_real: -0.027962 Loss_D_fake -0.006593
[1509/5000][345/535][155757] Loss_D: -0.019541 Loss_G: 0.023041 Loss_D_real: -0.020371 Loss_D_fake -0.000830
[1509/5000][350/535][155758] Loss_D: -0.020925 Loss_G: 0.003325 Loss_D_real: -0.020796 Loss_D_fake 0.000130
[1509/5000][355/535][155759] Loss_D: -0.018984 Loss_G: 0.013770 Loss_D_real: -0.024874 Loss_D_fake -0.005890
[1509/5000][360/535][155760] Loss_D: -0.019502 Loss_G: -0.005411 Loss_D_real: -0.010305 Loss_D_fake 0.009197
[1509/5000][365/535][155761] Loss_D: -0.020397 Loss_G: 0.018575 Loss_D_real: -0.017804 Loss_D_fake 0.002593
[1509/5000][370/535][155762] Loss_D: -0.018963 Loss_G: -0.004553 Loss_D_real: -0.007846 Loss_D_fake 0.011117
[1509/5000][375/535][155763] Loss_D: -0.020489 Loss_G: 0.004646 Loss_D_real: -0.006247 Loss_D_fake 0.014243
[1509/5000][380/535][155764] Loss_D: -0.019995 Loss_G: -0.002366 Loss_D_real: -0.012416 Loss_D_fake 0.007579
[1509/5000][385/535][155765] Loss_D: -0.019683 Loss_G: 0.013167 Loss_D_real: -0.014613 Loss_D_fake 0.005071
[1509/5000][390/535][155766] Loss_D: -0.019515 Loss_G: 0.023326 Loss_D_real: -0.030106 Loss_D_fake -0.010590
[1509/5000][395/535][155767] Loss_D: -0.018403 Loss_G: -0.017146 Loss_D_real: -0.000635 Loss_D_fake 0.017768
[1509/5000][400/535][155768] Loss_D: -0.017391 Loss_G: -0.016796 Loss_D_real: -0.001176 Loss_D_fake 0.016215
[1509/5000][405/535][155769] Loss_D: -0.019161 Loss_G: 0.030784 Loss_D_real: -0.030951 Loss_D_fake -0.011790
[1509/5000][410/535][155770] Loss_D: -0.017708 Loss_G: -0.020222 Loss_D_real: 0.003090 Loss_D_fake 0.020798
[1509/5000][415/535][155771] Loss_D: -0.019589 Loss_G: 0.003917 Loss_D_real: -0.015431 Loss_D_fake 0.004157
[1509/5000][420/535][155772] Loss_D: -0.020024 Loss_G: 0.015144 Loss_D_real: -0.011339 Loss_D_fake 0.008684
[1509/5000][425/535][155773] Loss_D: -0.021105 Loss_G: 0.000234 Loss_D_real: -0.005412 Loss_D_fake 0.015693
[1509/5000][430/535][155774] Loss_D: -0.019905 Loss_G: 0.013671 Loss_D_real: -0.025427 Loss_D_fake -0.005522
[1509/5000][435/535][155775] Loss_D: -0.018728 Loss_G: 0.010847 Loss_D_real: -0.029237 Loss_D_fake -0.010510
[1509/5000][440/535][155776] Loss_D: -0.020727 Loss_G: 0.007240 Loss_D_real: -0.017814 Loss_D_fake 0.002913
[1509/5000][445/535][155777] Loss_D: -0.019143 Loss_G: -0.006916 Loss_D_real: 0.008446 Loss_D_fake 0.027589
[1509/5000][450/535][155778] Loss_D: -0.020056 Loss_G: 0.027048 Loss_D_real: -0.025346 Loss_D_fake -0.005290
[1509/5000][455/535][155779] Loss_D: -0.021301 Loss_G: 0.007706 Loss_D_real: -0.005247 Loss_D_fake 0.016054
[1509/5000][460/535][155780] Loss_D: -0.021283 Loss_G: 0.017754 Loss_D_real: -0.022412 Loss_D_fake -0.001129
[1509/5000][465/535][155781] Loss_D: -0.019858 Loss_G: 0.000575 Loss_D_real: -0.015135 Loss_D_fake 0.004723
[1509/5000][470/535][155782] Loss_D: -0.021563 Loss_G: 0.006842 Loss_D_real: -0.015862 Loss_D_fake 0.005700
[1509/5000][475/535][155783] Loss_D: -0.020783 Loss_G: 0.022022 Loss_D_real: -0.027857 Loss_D_fake -0.007075
[1509/5000][480/535][155784] Loss_D: -0.021774 Loss_G: -0.004541 Loss_D_real: -0.004497 Loss_D_fake 0.017278
[1509/5000][485/535][155785] Loss_D: -0.018532 Loss_G: 0.017912 Loss_D_real: -0.027381 Loss_D_fake -0.008849
[1509/5000][490/535][155786] Loss_D: -0.020490 Loss_G: -0.000537 Loss_D_real: -0.017774 Loss_D_fake 0.002717
[1509/5000][495/535][155787] Loss_D: -0.019907 Loss_G: 0.005011 Loss_D_real: -0.003965 Loss_D_fake 0.015942
[1509/5000][500/535][155788] Loss_D: -0.019466 Loss_G: 0.026722 Loss_D_real: -0.012213 Loss_D_fake 0.007253
[1509/5000][505/535][155789] Loss_D: -0.020611 Loss_G: -0.003418 Loss_D_real: -0.016478 Loss_D_fake 0.004133
[1509/5000][510/535][155790] Loss_D: -0.019443 Loss_G: -0.016309 Loss_D_real: -0.002364 Loss_D_fake 0.017079
[1509/5000][515/535][155791] Loss_D: -0.020190 Loss_G: 0.015993 Loss_D_real: -0.023540 Loss_D_fake -0.003349
[1509/5000][520/535][155792] Loss_D: -0.021333 Loss_G: 0.016432 Loss_D_real: -0.005345 Loss_D_fake 0.015988
[1509/5000][525/535][155793] Loss_D: -0.019585 Loss_G: 0.000641 Loss_D_real: -0.008569 Loss_D_fake 0.011016
[1509/5000][530/535][155794] Loss_D: -0.017910 Loss_G: 0.020571 Loss_D_real: -0.035111 Loss_D_fake -0.017201
[1509/5000][535/535][155795] Loss_D: -0.019725 Loss_G: -0.020391 Loss_D_real: -0.011346 Loss_D_fake 0.008378
[1510/5000][5/535][155796] Loss_D: -0.018430 Loss_G: 0.011758 Loss_D_real: -0.014834 Loss_D_fake 0.003597
[1510/5000][10/535][155797] Loss_D: -0.018809 Loss_G: -0.011793 Loss_D_real: -0.005767 Loss_D_fake 0.013042
[1510/5000][15/535][155798] Loss_D: -0.019339 Loss_G: 0.011572 Loss_D_real: -0.012565 Loss_D_fake 0.006774
[1510/5000][20/535][155799] Loss_D: -0.020195 Loss_G: 0.010279 Loss_D_real: -0.009577 Loss_D_fake 0.010619
[1510/5000][25/535][155800] Loss_D: -0.021237 Loss_G: 0.014201 Loss_D_real: -0.026839 Loss_D_fake -0.005602
[1510/5000][30/535][155801] Loss_D: -0.019228 Loss_G: 0.004604 Loss_D_real: -0.007899 Loss_D_fake 0.011328
[1510/5000][35/535][155802] Loss_D: -0.019419 Loss_G: 0.000783 Loss_D_real: -0.015412 Loss_D_fake 0.004008
[1510/5000][40/535][155803] Loss_D: -0.019967 Loss_G: 0.013600 Loss_D_real: -0.015628 Loss_D_fake 0.004339
[1510/5000][45/535][155804] Loss_D: -0.019114 Loss_G: 0.032003 Loss_D_real: -0.024680 Loss_D_fake -0.005566
[1510/5000][50/535][155805] Loss_D: -0.019560 Loss_G: 0.010891 Loss_D_real: -0.022176 Loss_D_fake -0.002616
[1510/5000][55/535][155806] Loss_D: -0.018997 Loss_G: 0.013639 Loss_D_real: -0.025553 Loss_D_fake -0.006556
[1510/5000][60/535][155807] Loss_D: -0.019486 Loss_G: 0.001208 Loss_D_real: -0.021130 Loss_D_fake -0.001644
[1510/5000][65/535][155808] Loss_D: -0.020465 Loss_G: 0.007150 Loss_D_real: -0.005698 Loss_D_fake 0.014767
[1510/5000][70/535][155809] Loss_D: -0.018839 Loss_G: -0.013464 Loss_D_real: -0.011783 Loss_D_fake 0.007057
[1510/5000][75/535][155810] Loss_D: -0.020224 Loss_G: -0.001361 Loss_D_real: -0.011585 Loss_D_fake 0.008638
[1510/5000][80/535][155811] Loss_D: -0.018768 Loss_G: 0.020771 Loss_D_real: -0.029726 Loss_D_fake -0.010957
[1510/5000][85/535][155812] Loss_D: -0.020978 Loss_G: 0.016044 Loss_D_real: -0.025041 Loss_D_fake -0.004062
[1510/5000][90/535][155813] Loss_D: -0.019308 Loss_G: 0.028210 Loss_D_real: -0.013623 Loss_D_fake 0.005685
[1510/5000][95/535][155814] Loss_D: -0.018416 Loss_G: 0.025781 Loss_D_real: -0.027355 Loss_D_fake -0.008939
[1510/5000][100/535][155815] Loss_D: -0.019003 Loss_G: -0.004802 Loss_D_real: -0.006890 Loss_D_fake 0.012114
[1510/5000][105/535][155816] Loss_D: -0.019974 Loss_G: 0.010146 Loss_D_real: -0.023386 Loss_D_fake -0.003413
[1510/5000][110/535][155817] Loss_D: -0.018101 Loss_G: -0.007878 Loss_D_real: -0.008210 Loss_D_fake 0.009891
[1510/5000][115/535][155818] Loss_D: -0.018858 Loss_G: 0.021436 Loss_D_real: -0.022732 Loss_D_fake -0.003875
[1510/5000][120/535][155819] Loss_D: -0.017043 Loss_G: 0.013586 Loss_D_real: -0.027263 Loss_D_fake -0.010220
[1510/5000][125/535][155820] Loss_D: -0.018443 Loss_G: 0.016738 Loss_D_real: -0.023618 Loss_D_fake -0.005175
[1510/5000][130/535][155821] Loss_D: -0.018162 Loss_G: -0.003262 Loss_D_real: -0.005134 Loss_D_fake 0.013028
[1510/5000][135/535][155822] Loss_D: -0.020460 Loss_G: 0.004043 Loss_D_real: -0.016934 Loss_D_fake 0.003525
[1510/5000][140/535][155823] Loss_D: -0.020994 Loss_G: 0.010669 Loss_D_real: -0.020478 Loss_D_fake 0.000516
[1510/5000][145/535][155824] Loss_D: -0.020734 Loss_G: 0.015504 Loss_D_real: -0.034700 Loss_D_fake -0.013966
[1510/5000][150/535][155825] Loss_D: -0.020166 Loss_G: -0.014674 Loss_D_real: -0.008110 Loss_D_fake 0.012057
[1510/5000][155/535][155826] Loss_D: -0.020221 Loss_G: 0.015637 Loss_D_real: -0.018299 Loss_D_fake 0.001922
[1510/5000][160/535][155827] Loss_D: -0.020186 Loss_G: 0.004522 Loss_D_real: -0.020395 Loss_D_fake -0.000209
[1510/5000][165/535][155828] Loss_D: -0.020165 Loss_G: 0.002568 Loss_D_real: -0.023141 Loss_D_fake -0.002976
[1510/5000][170/535][155829] Loss_D: -0.021044 Loss_G: 0.004854 Loss_D_real: -0.012702 Loss_D_fake 0.008342
[1510/5000][175/535][155830] Loss_D: -0.019148 Loss_G: 0.026536 Loss_D_real: -0.024941 Loss_D_fake -0.005793
[1510/5000][180/535][155831] Loss_D: -0.020317 Loss_G: 0.017232 Loss_D_real: -0.025584 Loss_D_fake -0.005267
[1510/5000][185/535][155832] Loss_D: -0.020251 Loss_G: 0.000721 Loss_D_real: 0.002406 Loss_D_fake 0.022657
[1510/5000][190/535][155833] Loss_D: -0.020528 Loss_G: -0.007440 Loss_D_real: -0.018759 Loss_D_fake 0.001768
[1510/5000][195/535][155834] Loss_D: -0.020923 Loss_G: 0.009278 Loss_D_real: -0.014861 Loss_D_fake 0.006062
[1510/5000][200/535][155835] Loss_D: -0.018153 Loss_G: -0.004278 Loss_D_real: -0.000911 Loss_D_fake 0.017242
[1510/5000][205/535][155836] Loss_D: -0.020677 Loss_G: 0.020549 Loss_D_real: -0.019349 Loss_D_fake 0.001327
[1510/5000][210/535][155837] Loss_D: -0.019856 Loss_G: 0.004138 Loss_D_real: -0.022847 Loss_D_fake -0.002991
[1510/5000][215/535][155838] Loss_D: -0.019422 Loss_G: 0.004858 Loss_D_real: -0.026938 Loss_D_fake -0.007516
[1510/5000][220/535][155839] Loss_D: -0.020541 Loss_G: -0.002335 Loss_D_real: -0.011434 Loss_D_fake 0.009108
[1510/5000][225/535][155840] Loss_D: -0.015609 Loss_G: 0.032679 Loss_D_real: -0.036397 Loss_D_fake -0.020788
[1510/5000][230/535][155841] Loss_D: -0.019053 Loss_G: 0.003917 Loss_D_real: -0.004441 Loss_D_fake 0.014612
[1510/5000][235/535][155842] Loss_D: -0.017208 Loss_G: 0.017939 Loss_D_real: -0.027459 Loss_D_fake -0.010252
[1510/5000][240/535][155843] Loss_D: -0.020009 Loss_G: -0.003883 Loss_D_real: 0.002415 Loss_D_fake 0.022424
[1510/5000][245/535][155844] Loss_D: -0.018938 Loss_G: -0.010635 Loss_D_real: -0.006889 Loss_D_fake 0.012050
[1510/5000][250/535][155845] Loss_D: -0.019433 Loss_G: 0.009024 Loss_D_real: -0.010542 Loss_D_fake 0.008890
[1510/5000][255/535][155846] Loss_D: -0.018586 Loss_G: 0.013933 Loss_D_real: -0.021604 Loss_D_fake -0.003018
[1510/5000][260/535][155847] Loss_D: -0.019608 Loss_G: 0.013635 Loss_D_real: -0.017950 Loss_D_fake 0.001658
[1510/5000][265/535][155848] Loss_D: -0.019765 Loss_G: 0.013038 Loss_D_real: -0.017241 Loss_D_fake 0.002525
[1510/5000][270/535][155849] Loss_D: -0.019810 Loss_G: 0.025037 Loss_D_real: -0.021673 Loss_D_fake -0.001863
[1510/5000][275/535][155850] Loss_D: -0.019458 Loss_G: 0.018899 Loss_D_real: -0.015080 Loss_D_fake 0.004378
[1510/5000][280/535][155851] Loss_D: -0.019749 Loss_G: 0.005264 Loss_D_real: -0.014483 Loss_D_fake 0.005266
[1510/5000][285/535][155852] Loss_D: -0.019035 Loss_G: 0.020604 Loss_D_real: -0.027944 Loss_D_fake -0.008909
[1510/5000][290/535][155853] Loss_D: -0.019434 Loss_G: -0.014431 Loss_D_real: -0.006648 Loss_D_fake 0.012786
[1510/5000][295/535][155854] Loss_D: -0.018602 Loss_G: -0.002189 Loss_D_real: -0.016214 Loss_D_fake 0.002387
[1510/5000][300/535][155855] Loss_D: -0.018862 Loss_G: -0.009270 Loss_D_real: 0.004223 Loss_D_fake 0.023085
[1510/5000][305/535][155856] Loss_D: -0.018372 Loss_G: 0.026990 Loss_D_real: -0.027345 Loss_D_fake -0.008973
[1510/5000][310/535][155857] Loss_D: -0.018791 Loss_G: 0.000835 Loss_D_real: -0.006817 Loss_D_fake 0.011974
[1510/5000][315/535][155858] Loss_D: -0.018082 Loss_G: 0.002656 Loss_D_real: -0.007495 Loss_D_fake 0.010587
[1510/5000][320/535][155859] Loss_D: -0.018973 Loss_G: 0.009942 Loss_D_real: -0.023896 Loss_D_fake -0.004923
[1510/5000][325/535][155860] Loss_D: -0.020162 Loss_G: 0.015651 Loss_D_real: -0.022708 Loss_D_fake -0.002546
[1510/5000][330/535][155861] Loss_D: -0.019907 Loss_G: -0.003551 Loss_D_real: -0.006978 Loss_D_fake 0.012929
[1510/5000][335/535][155862] Loss_D: -0.019470 Loss_G: -0.001347 Loss_D_real: -0.011721 Loss_D_fake 0.007749
[1510/5000][340/535][155863] Loss_D: -0.020660 Loss_G: 0.019841 Loss_D_real: -0.024905 Loss_D_fake -0.004245
[1510/5000][345/535][155864] Loss_D: -0.020916 Loss_G: 0.005891 Loss_D_real: -0.018309 Loss_D_fake 0.002607
[1510/5000][350/535][155865] Loss_D: -0.020150 Loss_G: -0.003977 Loss_D_real: -0.011608 Loss_D_fake 0.008543
[1510/5000][355/535][155866] Loss_D: -0.020900 Loss_G: 0.015947 Loss_D_real: -0.021596 Loss_D_fake -0.000696
[1510/5000][360/535][155867] Loss_D: -0.019697 Loss_G: 0.022571 Loss_D_real: -0.015881 Loss_D_fake 0.003816
[1510/5000][365/535][155868] Loss_D: -0.019646 Loss_G: 0.010669 Loss_D_real: -0.015434 Loss_D_fake 0.004212
[1510/5000][370/535][155869] Loss_D: -0.019914 Loss_G: -0.007550 Loss_D_real: -0.020989 Loss_D_fake -0.001075
[1510/5000][375/535][155870] Loss_D: -0.020215 Loss_G: 0.012484 Loss_D_real: -0.010807 Loss_D_fake 0.009408
[1510/5000][380/535][155871] Loss_D: -0.020229 Loss_G: 0.016940 Loss_D_real: -0.019828 Loss_D_fake 0.000401
[1510/5000][385/535][155872] Loss_D: -0.020446 Loss_G: 0.002807 Loss_D_real: -0.017538 Loss_D_fake 0.002908
[1510/5000][390/535][155873] Loss_D: -0.020943 Loss_G: 0.003200 Loss_D_real: -0.009364 Loss_D_fake 0.011579
[1510/5000][395/535][155874] Loss_D: -0.019291 Loss_G: 0.007802 Loss_D_real: -0.024016 Loss_D_fake -0.004725
[1510/5000][400/535][155875] Loss_D: -0.020614 Loss_G: 0.007677 Loss_D_real: -0.020379 Loss_D_fake 0.000235
[1510/5000][405/535][155876] Loss_D: -0.019904 Loss_G: 0.000513 Loss_D_real: -0.021230 Loss_D_fake -0.001326
[1510/5000][410/535][155877] Loss_D: -0.019646 Loss_G: 0.016549 Loss_D_real: -0.022926 Loss_D_fake -0.003280
[1510/5000][415/535][155878] Loss_D: -0.021408 Loss_G: 0.005313 Loss_D_real: -0.021314 Loss_D_fake 0.000094
[1510/5000][420/535][155879] Loss_D: -0.020041 Loss_G: 0.012911 Loss_D_real: -0.012104 Loss_D_fake 0.007936
[1510/5000][425/535][155880] Loss_D: -0.020962 Loss_G: 0.004655 Loss_D_real: -0.010600 Loss_D_fake 0.010362
[1510/5000][430/535][155881] Loss_D: -0.020139 Loss_G: 0.009314 Loss_D_real: -0.018518 Loss_D_fake 0.001620
[1510/5000][435/535][155882] Loss_D: -0.020349 Loss_G: 0.007516 Loss_D_real: -0.013256 Loss_D_fake 0.007093
[1510/5000][440/535][155883] Loss_D: -0.019935 Loss_G: 0.018693 Loss_D_real: -0.023755 Loss_D_fake -0.003819
[1510/5000][445/535][155884] Loss_D: -0.020764 Loss_G: -0.005232 Loss_D_real: -0.004647 Loss_D_fake 0.016116
[1510/5000][450/535][155885] Loss_D: -0.017559 Loss_G: 0.026380 Loss_D_real: -0.037534 Loss_D_fake -0.019976
[1510/5000][455/535][155886] Loss_D: -0.021547 Loss_G: 0.007930 Loss_D_real: -0.011050 Loss_D_fake 0.010497
[1510/5000][460/535][155887] Loss_D: -0.020033 Loss_G: -0.006745 Loss_D_real: -0.006877 Loss_D_fake 0.013156
[1510/5000][465/535][155888] Loss_D: -0.021571 Loss_G: -0.013261 Loss_D_real: -0.015776 Loss_D_fake 0.005795
[1510/5000][470/535][155889] Loss_D: -0.019796 Loss_G: 0.016875 Loss_D_real: -0.004608 Loss_D_fake 0.015188
[1510/5000][475/535][155890] Loss_D: -0.020195 Loss_G: 0.004999 Loss_D_real: -0.014317 Loss_D_fake 0.005878
[1510/5000][480/535][155891] Loss_D: -0.020312 Loss_G: 0.010554 Loss_D_real: -0.012188 Loss_D_fake 0.008124
[1510/5000][485/535][155892] Loss_D: -0.019353 Loss_G: -0.000742 Loss_D_real: -0.017620 Loss_D_fake 0.001733
[1510/5000][490/535][155893] Loss_D: -0.020643 Loss_G: -0.003011 Loss_D_real: -0.005510 Loss_D_fake 0.015133
[1510/5000][495/535][155894] Loss_D: -0.017582 Loss_G: 0.045295 Loss_D_real: -0.035625 Loss_D_fake -0.018043
[1510/5000][500/535][155895] Loss_D: -0.018958 Loss_G: -0.012031 Loss_D_real: -0.018988 Loss_D_fake -0.000029
[1510/5000][505/535][155896] Loss_D: -0.018823 Loss_G: -0.002370 Loss_D_real: -0.020827 Loss_D_fake -0.002004
[1510/5000][510/535][155897] Loss_D: -0.019080 Loss_G: 0.004539 Loss_D_real: -0.017216 Loss_D_fake 0.001865
[1510/5000][515/535][155898] Loss_D: -0.019658 Loss_G: -0.006641 Loss_D_real: -0.012735 Loss_D_fake 0.006923
[1510/5000][520/535][155899] Loss_D: -0.021351 Loss_G: 0.012017 Loss_D_real: -0.015792 Loss_D_fake 0.005559
[1510/5000][525/535][155900] Loss_D: -0.021586 Loss_G: 0.012847 Loss_D_real: -0.012435 Loss_D_fake 0.009151
[1510/5000][530/535][155901] Loss_D: -0.020791 Loss_G: 0.010854 Loss_D_real: -0.008721 Loss_D_fake 0.012070
[1510/5000][535/535][155902] Loss_D: -0.019491 Loss_G: 0.023438 Loss_D_real: -0.019758 Loss_D_fake -0.000267
[1511/5000][5/535][155903] Loss_D: -0.020993 Loss_G: 0.005846 Loss_D_real: -0.014780 Loss_D_fake 0.006214
[1511/5000][10/535][155904] Loss_D: -0.017494 Loss_G: -0.005012 Loss_D_real: -0.000693 Loss_D_fake 0.016800
[1511/5000][15/535][155905] Loss_D: -0.020278 Loss_G: 0.020451 Loss_D_real: -0.016558 Loss_D_fake 0.003720
[1511/5000][20/535][155906] Loss_D: -0.019513 Loss_G: 0.011426 Loss_D_real: -0.023084 Loss_D_fake -0.003571
[1511/5000][25/535][155907] Loss_D: -0.019408 Loss_G: 0.025708 Loss_D_real: -0.020696 Loss_D_fake -0.001288
[1511/5000][30/535][155908] Loss_D: -0.020863 Loss_G: 0.000457 Loss_D_real: -0.019497 Loss_D_fake 0.001366
[1511/5000][35/535][155909] Loss_D: -0.019921 Loss_G: -0.014246 Loss_D_real: -0.005095 Loss_D_fake 0.014826
[1511/5000][40/535][155910] Loss_D: -0.021088 Loss_G: 0.006754 Loss_D_real: -0.017262 Loss_D_fake 0.003826
[1511/5000][45/535][155911] Loss_D: -0.020312 Loss_G: 0.016354 Loss_D_real: -0.029473 Loss_D_fake -0.009161
[1511/5000][50/535][155912] Loss_D: -0.021049 Loss_G: -0.005990 Loss_D_real: -0.022948 Loss_D_fake -0.001899
[1511/5000][55/535][155913] Loss_D: -0.020375 Loss_G: 0.011723 Loss_D_real: -0.011755 Loss_D_fake 0.008621
[1511/5000][60/535][155914] Loss_D: -0.020363 Loss_G: 0.008762 Loss_D_real: -0.008726 Loss_D_fake 0.011637
[1511/5000][65/535][155915] Loss_D: -0.018853 Loss_G: -0.017111 Loss_D_real: -0.005808 Loss_D_fake 0.013046
[1511/5000][70/535][155916] Loss_D: -0.018154 Loss_G: 0.008478 Loss_D_real: -0.023891 Loss_D_fake -0.005737
[1511/5000][75/535][155917] Loss_D: -0.018379 Loss_G: 0.013363 Loss_D_real: -0.026782 Loss_D_fake -0.008404
[1511/5000][80/535][155918] Loss_D: -0.019950 Loss_G: 0.001779 Loss_D_real: -0.020476 Loss_D_fake -0.000526
[1511/5000][85/535][155919] Loss_D: -0.019415 Loss_G: 0.021625 Loss_D_real: -0.020827 Loss_D_fake -0.001412
[1511/5000][90/535][155920] Loss_D: -0.019720 Loss_G: -0.008543 Loss_D_real: 0.000359 Loss_D_fake 0.020079
[1511/5000][95/535][155921] Loss_D: -0.020377 Loss_G: 0.004360 Loss_D_real: -0.021112 Loss_D_fake -0.000735
[1511/5000][100/535][155922] Loss_D: -0.021180 Loss_G: 0.022309 Loss_D_real: -0.022094 Loss_D_fake -0.000915
[1511/5000][105/535][155923] Loss_D: -0.020079 Loss_G: 0.025933 Loss_D_real: -0.012805 Loss_D_fake 0.007274
[1511/5000][110/535][155924] Loss_D: -0.019395 Loss_G: 0.003939 Loss_D_real: -0.016326 Loss_D_fake 0.003069
[1511/5000][115/535][155925] Loss_D: -0.021723 Loss_G: 0.011786 Loss_D_real: -0.020594 Loss_D_fake 0.001129
[1511/5000][120/535][155926] Loss_D: -0.021204 Loss_G: 0.012394 Loss_D_real: -0.013031 Loss_D_fake 0.008173
[1511/5000][125/535][155927] Loss_D: -0.021049 Loss_G: 0.017283 Loss_D_real: -0.031058 Loss_D_fake -0.010009
[1511/5000][130/535][155928] Loss_D: -0.019803 Loss_G: -0.014911 Loss_D_real: -0.017655 Loss_D_fake 0.002148
[1511/5000][135/535][155929] Loss_D: -0.019586 Loss_G: 0.015771 Loss_D_real: -0.021265 Loss_D_fake -0.001679
[1511/5000][140/535][155930] Loss_D: -0.020360 Loss_G: 0.001555 Loss_D_real: -0.008061 Loss_D_fake 0.012299
[1511/5000][145/535][155931] Loss_D: -0.020280 Loss_G: -0.002460 Loss_D_real: -0.014255 Loss_D_fake 0.006025
[1511/5000][150/535][155932] Loss_D: -0.021933 Loss_G: 0.021648 Loss_D_real: -0.014135 Loss_D_fake 0.007797
[1511/5000][155/535][155933] Loss_D: -0.021204 Loss_G: -0.011678 Loss_D_real: -0.015542 Loss_D_fake 0.005662
[1511/5000][160/535][155934] Loss_D: -0.021411 Loss_G: 0.011712 Loss_D_real: -0.003262 Loss_D_fake 0.018149
[1511/5000][165/535][155935] Loss_D: -0.020583 Loss_G: 0.000079 Loss_D_real: -0.013112 Loss_D_fake 0.007470
[1511/5000][170/535][155936] Loss_D: -0.019067 Loss_G: 0.012945 Loss_D_real: -0.019289 Loss_D_fake -0.000222
[1511/5000][175/535][155937] Loss_D: -0.020424 Loss_G: 0.001610 Loss_D_real: -0.024780 Loss_D_fake -0.004356
[1511/5000][180/535][155938] Loss_D: -0.019529 Loss_G: -0.009805 Loss_D_real: -0.003864 Loss_D_fake 0.015665
[1511/5000][185/535][155939] Loss_D: -0.020058 Loss_G: 0.025188 Loss_D_real: -0.023162 Loss_D_fake -0.003104
[1511/5000][190/535][155940] Loss_D: -0.019212 Loss_G: 0.021529 Loss_D_real: -0.018329 Loss_D_fake 0.000883
[1511/5000][195/535][155941] Loss_D: -0.018491 Loss_G: 0.000539 Loss_D_real: -0.000783 Loss_D_fake 0.017709
[1511/5000][200/535][155942] Loss_D: -0.019276 Loss_G: 0.012747 Loss_D_real: -0.025161 Loss_D_fake -0.005885
[1511/5000][205/535][155943] Loss_D: -0.018093 Loss_G: 0.025277 Loss_D_real: -0.021077 Loss_D_fake -0.002985
[1511/5000][210/535][155944] Loss_D: -0.019961 Loss_G: -0.001157 Loss_D_real: -0.009112 Loss_D_fake 0.010849
[1511/5000][215/535][155945] Loss_D: -0.019279 Loss_G: 0.004972 Loss_D_real: -0.004033 Loss_D_fake 0.015246
[1511/5000][220/535][155946] Loss_D: -0.019598 Loss_G: -0.009389 Loss_D_real: -0.005339 Loss_D_fake 0.014260
[1511/5000][225/535][155947] Loss_D: -0.018751 Loss_G: 0.011151 Loss_D_real: -0.025516 Loss_D_fake -0.006765
[1511/5000][230/535][155948] Loss_D: -0.017860 Loss_G: 0.022266 Loss_D_real: -0.025889 Loss_D_fake -0.008029
[1511/5000][235/535][155949] Loss_D: -0.020030 Loss_G: 0.005467 Loss_D_real: -0.006271 Loss_D_fake 0.013760
[1511/5000][240/535][155950] Loss_D: -0.019126 Loss_G: -0.007408 Loss_D_real: -0.006571 Loss_D_fake 0.012555
[1511/5000][245/535][155951] Loss_D: -0.020440 Loss_G: 0.006088 Loss_D_real: -0.011669 Loss_D_fake 0.008771
[1511/5000][250/535][155952] Loss_D: -0.018882 Loss_G: 0.026378 Loss_D_real: -0.028430 Loss_D_fake -0.009548
[1511/5000][255/535][155953] Loss_D: -0.019634 Loss_G: 0.013963 Loss_D_real: -0.027488 Loss_D_fake -0.007854
[1511/5000][260/535][155954] Loss_D: -0.019880 Loss_G: -0.019759 Loss_D_real: 0.004732 Loss_D_fake 0.024612
[1511/5000][265/535][155955] Loss_D: -0.018195 Loss_G: 0.014068 Loss_D_real: -0.023534 Loss_D_fake -0.005338
[1511/5000][270/535][155956] Loss_D: -0.019639 Loss_G: 0.015488 Loss_D_real: -0.016594 Loss_D_fake 0.003045
[1511/5000][275/535][155957] Loss_D: -0.019285 Loss_G: -0.001747 Loss_D_real: -0.015030 Loss_D_fake 0.004254
[1511/5000][280/535][155958] Loss_D: -0.018920 Loss_G: 0.024796 Loss_D_real: -0.022402 Loss_D_fake -0.003482
[1511/5000][285/535][155959] Loss_D: -0.019911 Loss_G: -0.007627 Loss_D_real: 0.002447 Loss_D_fake 0.022358
[1511/5000][290/535][155960] Loss_D: -0.019200 Loss_G: 0.003217 Loss_D_real: 0.004469 Loss_D_fake 0.023669
[1511/5000][295/535][155961] Loss_D: -0.020002 Loss_G: 0.006831 Loss_D_real: -0.023752 Loss_D_fake -0.003750
[1511/5000][300/535][155962] Loss_D: -0.019423 Loss_G: -0.004853 Loss_D_real: -0.005998 Loss_D_fake 0.013424
[1511/5000][305/535][155963] Loss_D: -0.019534 Loss_G: -0.003079 Loss_D_real: -0.002014 Loss_D_fake 0.017520
[1511/5000][310/535][155964] Loss_D: -0.020272 Loss_G: -0.000265 Loss_D_real: -0.012613 Loss_D_fake 0.007659
[1511/5000][315/535][155965] Loss_D: -0.020113 Loss_G: 0.011351 Loss_D_real: -0.019171 Loss_D_fake 0.000941
[1511/5000][320/535][155966] Loss_D: -0.020482 Loss_G: 0.006458 Loss_D_real: -0.009566 Loss_D_fake 0.010916
[1511/5000][325/535][155967] Loss_D: -0.021256 Loss_G: 0.018378 Loss_D_real: -0.009957 Loss_D_fake 0.011299
[1511/5000][330/535][155968] Loss_D: -0.018484 Loss_G: 0.010058 Loss_D_real: -0.029084 Loss_D_fake -0.010600
[1511/5000][335/535][155969] Loss_D: -0.021300 Loss_G: 0.015635 Loss_D_real: -0.023142 Loss_D_fake -0.001842
[1511/5000][340/535][155970] Loss_D: -0.020908 Loss_G: -0.000220 Loss_D_real: -0.018100 Loss_D_fake 0.002808
[1511/5000][345/535][155971] Loss_D: -0.020384 Loss_G: 0.025770 Loss_D_real: -0.025863 Loss_D_fake -0.005479
[1511/5000][350/535][155972] Loss_D: -0.020608 Loss_G: 0.006251 Loss_D_real: -0.019430 Loss_D_fake 0.001178
[1511/5000][355/535][155973] Loss_D: -0.019895 Loss_G: 0.003540 Loss_D_real: -0.015411 Loss_D_fake 0.004484
[1511/5000][360/535][155974] Loss_D: -0.019877 Loss_G: 0.008802 Loss_D_real: -0.026677 Loss_D_fake -0.006800
[1511/5000][365/535][155975] Loss_D: -0.019474 Loss_G: -0.007418 Loss_D_real: 0.000862 Loss_D_fake 0.020336
[1511/5000][370/535][155976] Loss_D: -0.019475 Loss_G: 0.011599 Loss_D_real: -0.015365 Loss_D_fake 0.004110
[1511/5000][375/535][155977] Loss_D: -0.020622 Loss_G: -0.000269 Loss_D_real: -0.014034 Loss_D_fake 0.006588
[1511/5000][380/535][155978] Loss_D: -0.019248 Loss_G: -0.015820 Loss_D_real: -0.012288 Loss_D_fake 0.006960
[1511/5000][385/535][155979] Loss_D: -0.019274 Loss_G: 0.014713 Loss_D_real: -0.019588 Loss_D_fake -0.000314
[1511/5000][390/535][155980] Loss_D: -0.020167 Loss_G: -0.003088 Loss_D_real: -0.015185 Loss_D_fake 0.004982
[1511/5000][395/535][155981] Loss_D: -0.019585 Loss_G: 0.002546 Loss_D_real: -0.016679 Loss_D_fake 0.002905
[1511/5000][400/535][155982] Loss_D: -0.018965 Loss_G: 0.030493 Loss_D_real: -0.025453 Loss_D_fake -0.006487
[1511/5000][405/535][155983] Loss_D: -0.020172 Loss_G: 0.006664 Loss_D_real: -0.022238 Loss_D_fake -0.002067
[1511/5000][410/535][155984] Loss_D: -0.020376 Loss_G: 0.017712 Loss_D_real: -0.017037 Loss_D_fake 0.003339
[1511/5000][415/535][155985] Loss_D: -0.018695 Loss_G: 0.013549 Loss_D_real: -0.029176 Loss_D_fake -0.010481
[1511/5000][420/535][155986] Loss_D: -0.019800 Loss_G: -0.014273 Loss_D_real: 0.004301 Loss_D_fake 0.024101
[1511/5000][425/535][155987] Loss_D: -0.020224 Loss_G: 0.007610 Loss_D_real: -0.010624 Loss_D_fake 0.009600
[1511/5000][430/535][155988] Loss_D: -0.017705 Loss_G: 0.018278 Loss_D_real: -0.017114 Loss_D_fake 0.000591
[1511/5000][435/535][155989] Loss_D: -0.019909 Loss_G: 0.001831 Loss_D_real: -0.003554 Loss_D_fake 0.016355
[1511/5000][440/535][155990] Loss_D: -0.020389 Loss_G: 0.018612 Loss_D_real: -0.018380 Loss_D_fake 0.002009
[1511/5000][445/535][155991] Loss_D: -0.019283 Loss_G: 0.024081 Loss_D_real: -0.027217 Loss_D_fake -0.007934
[1511/5000][450/535][155992] Loss_D: -0.020538 Loss_G: -0.004723 Loss_D_real: -0.008887 Loss_D_fake 0.011651
[1511/5000][455/535][155993] Loss_D: -0.019437 Loss_G: -0.009267 Loss_D_real: -0.003914 Loss_D_fake 0.015523
[1511/5000][460/535][155994] Loss_D: -0.020230 Loss_G: 0.006892 Loss_D_real: -0.018302 Loss_D_fake 0.001928
[1511/5000][465/535][155995] Loss_D: -0.018435 Loss_G: 0.027264 Loss_D_real: -0.029850 Loss_D_fake -0.011415
[1511/5000][470/535][155996] Loss_D: -0.019689 Loss_G: 0.005981 Loss_D_real: -0.007928 Loss_D_fake 0.011761
[1511/5000][475/535][155997] Loss_D: -0.018409 Loss_G: 0.006558 Loss_D_real: 0.003675 Loss_D_fake 0.022084
[1511/5000][480/535][155998] Loss_D: -0.019146 Loss_G: 0.021141 Loss_D_real: -0.020394 Loss_D_fake -0.001248
[1511/5000][485/535][155999] Loss_D: -0.019484 Loss_G: 0.010329 Loss_D_real: -0.034938 Loss_D_fake -0.015454
[1511/5000][490/535][156000] Loss_D: -0.018303 Loss_G: 0.021452 Loss_D_real: -0.018041 Loss_D_fake 0.000262
[1511/5000][535/535][156001] Loss_D: -0.026002 Loss_G: 0.014966 Loss_D_real: -0.018715 Loss_D_fake 0.007287
[1512/5000][5/535][156002] Loss_D: -0.022137 Loss_G: 0.025315 Loss_D_real: -0.027783 Loss_D_fake -0.005646
[1512/5000][10/535][156003] Loss_D: -0.019393 Loss_G: 0.004430 Loss_D_real: -0.018875 Loss_D_fake 0.000518
[1512/5000][15/535][156004] Loss_D: -0.018675 Loss_G: 0.005435 Loss_D_real: -0.018600 Loss_D_fake 0.000075
[1512/5000][20/535][156005] Loss_D: -0.021055 Loss_G: 0.003519 Loss_D_real: -0.020913 Loss_D_fake 0.000142
[1512/5000][25/535][156006] Loss_D: -0.020524 Loss_G: 0.023980 Loss_D_real: -0.025436 Loss_D_fake -0.004912
[1512/5000][30/535][156007] Loss_D: -0.019551 Loss_G: 0.014870 Loss_D_real: -0.026753 Loss_D_fake -0.007202
[1512/5000][35/535][156008] Loss_D: -0.019927 Loss_G: 0.014185 Loss_D_real: -0.030165 Loss_D_fake -0.010237
[1512/5000][40/535][156009] Loss_D: -0.019502 Loss_G: 0.028262 Loss_D_real: -0.024100 Loss_D_fake -0.004598
[1512/5000][45/535][156010] Loss_D: -0.020045 Loss_G: 0.003019 Loss_D_real: -0.015587 Loss_D_fake 0.004458
[1512/5000][50/535][156011] Loss_D: -0.020259 Loss_G: 0.012454 Loss_D_real: -0.017836 Loss_D_fake 0.002424
[1512/5000][55/535][156012] Loss_D: -0.020366 Loss_G: 0.013125 Loss_D_real: -0.010576 Loss_D_fake 0.009790
[1512/5000][60/535][156013] Loss_D: -0.019563 Loss_G: 0.016094 Loss_D_real: -0.025339 Loss_D_fake -0.005776
[1512/5000][65/535][156014] Loss_D: -0.021160 Loss_G: 0.005477 Loss_D_real: -0.010884 Loss_D_fake 0.010276
[1512/5000][70/535][156015] Loss_D: -0.019225 Loss_G: 0.016222 Loss_D_real: -0.015257 Loss_D_fake 0.003968
[1512/5000][75/535][156016] Loss_D: -0.018369 Loss_G: 0.007717 Loss_D_real: -0.022925 Loss_D_fake -0.004555
[1512/5000][80/535][156017] Loss_D: -0.018655 Loss_G: 0.002664 Loss_D_real: -0.010085 Loss_D_fake 0.008570
[1512/5000][85/535][156018] Loss_D: -0.017559 Loss_G: 0.018457 Loss_D_real: -0.026920 Loss_D_fake -0.009361
[1512/5000][90/535][156019] Loss_D: -0.017963 Loss_G: -0.017995 Loss_D_real: -0.005971 Loss_D_fake 0.011992
[1512/5000][95/535][156020] Loss_D: -0.019290 Loss_G: -0.002878 Loss_D_real: -0.007783 Loss_D_fake 0.011507
[1512/5000][100/535][156021] Loss_D: -0.018791 Loss_G: -0.004678 Loss_D_real: 0.002172 Loss_D_fake 0.020963
[1512/5000][105/535][156022] Loss_D: -0.018815 Loss_G: 0.004890 Loss_D_real: -0.011212 Loss_D_fake 0.007603
[1512/5000][110/535][156023] Loss_D: -0.019417 Loss_G: 0.028308 Loss_D_real: -0.023598 Loss_D_fake -0.004181
[1512/5000][115/535][156024] Loss_D: -0.019133 Loss_G: -0.006408 Loss_D_real: 0.006397 Loss_D_fake 0.025530
[1512/5000][120/535][156025] Loss_D: -0.019946 Loss_G: -0.003294 Loss_D_real: -0.005061 Loss_D_fake 0.014885
[1512/5000][125/535][156026] Loss_D: -0.019185 Loss_G: 0.026079 Loss_D_real: -0.027923 Loss_D_fake -0.008738
[1512/5000][130/535][156027] Loss_D: -0.020490 Loss_G: 0.000430 Loss_D_real: -0.007235 Loss_D_fake 0.013254
[1512/5000][135/535][156028] Loss_D: -0.019994 Loss_G: -0.001977 Loss_D_real: -0.014110 Loss_D_fake 0.005884
[1512/5000][140/535][156029] Loss_D: -0.019962 Loss_G: 0.015471 Loss_D_real: -0.019125 Loss_D_fake 0.000837
[1512/5000][145/535][156030] Loss_D: -0.017728 Loss_G: -0.011651 Loss_D_real: 0.009771 Loss_D_fake 0.027500
[1512/5000][150/535][156031] Loss_D: -0.019778 Loss_G: 0.016194 Loss_D_real: -0.019649 Loss_D_fake 0.000129
[1512/5000][155/535][156032] Loss_D: -0.020857 Loss_G: 0.008832 Loss_D_real: -0.013891 Loss_D_fake 0.006966
[1512/5000][160/535][156033] Loss_D: -0.019761 Loss_G: -0.010843 Loss_D_real: -0.011021 Loss_D_fake 0.008740
[1512/5000][165/535][156034] Loss_D: -0.020040 Loss_G: -0.000769 Loss_D_real: -0.024421 Loss_D_fake -0.004381
[1512/5000][170/535][156035] Loss_D: -0.019723 Loss_G: 0.032772 Loss_D_real: -0.017812 Loss_D_fake 0.001911
[1512/5000][175/535][156036] Loss_D: -0.018777 Loss_G: 0.019701 Loss_D_real: -0.017652 Loss_D_fake 0.001125
[1512/5000][180/535][156037] Loss_D: -0.019587 Loss_G: 0.011452 Loss_D_real: -0.022583 Loss_D_fake -0.002996
[1512/5000][185/535][156038] Loss_D: -0.020856 Loss_G: -0.001564 Loss_D_real: -0.014891 Loss_D_fake 0.005966
[1512/5000][190/535][156039] Loss_D: -0.020920 Loss_G: -0.004572 Loss_D_real: -0.001777 Loss_D_fake 0.019144
[1512/5000][195/535][156040] Loss_D: -0.017909 Loss_G: 0.025690 Loss_D_real: -0.033273 Loss_D_fake -0.015363
[1512/5000][200/535][156041] Loss_D: -0.014856 Loss_G: 0.030300 Loss_D_real: -0.030582 Loss_D_fake -0.015727
[1512/5000][205/535][156042] Loss_D: -0.019274 Loss_G: 0.018579 Loss_D_real: -0.029152 Loss_D_fake -0.009877
[1512/5000][210/535][156043] Loss_D: -0.021084 Loss_G: -0.000186 Loss_D_real: 0.002310 Loss_D_fake 0.023394
[1512/5000][215/535][156044] Loss_D: -0.021451 Loss_G: 0.023111 Loss_D_real: -0.019703 Loss_D_fake 0.001748
[1512/5000][220/535][156045] Loss_D: -0.021656 Loss_G: 0.013032 Loss_D_real: -0.025367 Loss_D_fake -0.003711
[1512/5000][225/535][156046] Loss_D: -0.021571 Loss_G: 0.005207 Loss_D_real: -0.024500 Loss_D_fake -0.002929
[1512/5000][230/535][156047] Loss_D: -0.021021 Loss_G: -0.008179 Loss_D_real: -0.014351 Loss_D_fake 0.006671
[1512/5000][235/535][156048] Loss_D: -0.019889 Loss_G: 0.003977 Loss_D_real: -0.019305 Loss_D_fake 0.000583
[1512/5000][240/535][156049] Loss_D: -0.021487 Loss_G: 0.001756 Loss_D_real: -0.011291 Loss_D_fake 0.010196
[1512/5000][245/535][156050] Loss_D: -0.021210 Loss_G: 0.005887 Loss_D_real: -0.004113 Loss_D_fake 0.017097
[1512/5000][250/535][156051] Loss_D: -0.020291 Loss_G: 0.003044 Loss_D_real: -0.019628 Loss_D_fake 0.000663
[1512/5000][255/535][156052] Loss_D: -0.019428 Loss_G: 0.009383 Loss_D_real: -0.026856 Loss_D_fake -0.007427
[1512/5000][260/535][156053] Loss_D: -0.021632 Loss_G: 0.009811 Loss_D_real: -0.005733 Loss_D_fake 0.015899
[1512/5000][265/535][156054] Loss_D: -0.021054 Loss_G: 0.010237 Loss_D_real: -0.015044 Loss_D_fake 0.006010
[1512/5000][270/535][156055] Loss_D: -0.019791 Loss_G: 0.007403 Loss_D_real: -0.006535 Loss_D_fake 0.013256
[1512/5000][275/535][156056] Loss_D: -0.019758 Loss_G: 0.009184 Loss_D_real: -0.022523 Loss_D_fake -0.002765
[1512/5000][280/535][156057] Loss_D: -0.020226 Loss_G: -0.011027 Loss_D_real: -0.014556 Loss_D_fake 0.005669
[1512/5000][285/535][156058] Loss_D: -0.017915 Loss_G: 0.010648 Loss_D_real: -0.015642 Loss_D_fake 0.002273
[1512/5000][290/535][156059] Loss_D: -0.020603 Loss_G: 0.007258 Loss_D_real: -0.012823 Loss_D_fake 0.007779
[1512/5000][295/535][156060] Loss_D: -0.018653 Loss_G: -0.005662 Loss_D_real: -0.002921 Loss_D_fake 0.015733
[1512/5000][300/535][156061] Loss_D: -0.019108 Loss_G: -0.008631 Loss_D_real: -0.010921 Loss_D_fake 0.008187
[1512/5000][305/535][156062] Loss_D: -0.018464 Loss_G: -0.007988 Loss_D_real: -0.012107 Loss_D_fake 0.006357
[1512/5000][310/535][156063] Loss_D: -0.019757 Loss_G: 0.013779 Loss_D_real: -0.024652 Loss_D_fake -0.004895
[1512/5000][315/535][156064] Loss_D: -0.019487 Loss_G: 0.012227 Loss_D_real: -0.018384 Loss_D_fake 0.001103
[1512/5000][320/535][156065] Loss_D: -0.018264 Loss_G: 0.005594 Loss_D_real: -0.011541 Loss_D_fake 0.006723
[1512/5000][325/535][156066] Loss_D: -0.019735 Loss_G: 0.016048 Loss_D_real: -0.029128 Loss_D_fake -0.009393
[1512/5000][330/535][156067] Loss_D: -0.019914 Loss_G: 0.008589 Loss_D_real: -0.005869 Loss_D_fake 0.014045
[1512/5000][335/535][156068] Loss_D: -0.020057 Loss_G: 0.016247 Loss_D_real: -0.003494 Loss_D_fake 0.016563
[1512/5000][340/535][156069] Loss_D: -0.018950 Loss_G: 0.005624 Loss_D_real: -0.032418 Loss_D_fake -0.013468
[1512/5000][345/535][156070] Loss_D: -0.020257 Loss_G: -0.015214 Loss_D_real: -0.001038 Loss_D_fake 0.019219
[1512/5000][350/535][156071] Loss_D: -0.020497 Loss_G: 0.007471 Loss_D_real: -0.007183 Loss_D_fake 0.013314
[1512/5000][355/535][156072] Loss_D: -0.019057 Loss_G: 0.001616 Loss_D_real: -0.009296 Loss_D_fake 0.009761
[1512/5000][360/535][156073] Loss_D: -0.020497 Loss_G: 0.018867 Loss_D_real: -0.017613 Loss_D_fake 0.002884
[1512/5000][365/535][156074] Loss_D: -0.019168 Loss_G: 0.028539 Loss_D_real: -0.025147 Loss_D_fake -0.005980
[1512/5000][370/535][156075] Loss_D: -0.018707 Loss_G: 0.021907 Loss_D_real: -0.027785 Loss_D_fake -0.009078
[1512/5000][375/535][156076] Loss_D: -0.019872 Loss_G: -0.003311 Loss_D_real: -0.016135 Loss_D_fake 0.003737
[1512/5000][380/535][156077] Loss_D: -0.019800 Loss_G: 0.015008 Loss_D_real: -0.027814 Loss_D_fake -0.008014
[1512/5000][385/535][156078] Loss_D: -0.018033 Loss_G: 0.020640 Loss_D_real: -0.025390 Loss_D_fake -0.007357
[1512/5000][390/535][156079] Loss_D: -0.019843 Loss_G: 0.000423 Loss_D_real: -0.013762 Loss_D_fake 0.006081
[1512/5000][395/535][156080] Loss_D: -0.017149 Loss_G: 0.028728 Loss_D_real: -0.031193 Loss_D_fake -0.014043
[1512/5000][400/535][156081] Loss_D: -0.018619 Loss_G: 0.025670 Loss_D_real: -0.020242 Loss_D_fake -0.001624
[1512/5000][405/535][156082] Loss_D: -0.021673 Loss_G: 0.006371 Loss_D_real: -0.026533 Loss_D_fake -0.004860
[1512/5000][410/535][156083] Loss_D: -0.019640 Loss_G: 0.019097 Loss_D_real: -0.016853 Loss_D_fake 0.002787
[1512/5000][415/535][156084] Loss_D: -0.020220 Loss_G: 0.010049 Loss_D_real: -0.026493 Loss_D_fake -0.006273
[1512/5000][420/535][156085] Loss_D: -0.019483 Loss_G: 0.018952 Loss_D_real: -0.021568 Loss_D_fake -0.002085
[1512/5000][425/535][156086] Loss_D: -0.019173 Loss_G: 0.004969 Loss_D_real: -0.013719 Loss_D_fake 0.005454
[1512/5000][430/535][156087] Loss_D: -0.020432 Loss_G: 0.028696 Loss_D_real: -0.016196 Loss_D_fake 0.004236
[1512/5000][435/535][156088] Loss_D: -0.020623 Loss_G: -0.001391 Loss_D_real: 0.000188 Loss_D_fake 0.020811
[1512/5000][440/535][156089] Loss_D: -0.019795 Loss_G: -0.004241 Loss_D_real: -0.006557 Loss_D_fake 0.013238
[1512/5000][445/535][156090] Loss_D: -0.020949 Loss_G: 0.009591 Loss_D_real: -0.026272 Loss_D_fake -0.005323
[1512/5000][450/535][156091] Loss_D: -0.020393 Loss_G: -0.010691 Loss_D_real: -0.004415 Loss_D_fake 0.015978
[1512/5000][455/535][156092] Loss_D: -0.018494 Loss_G: 0.003781 Loss_D_real: -0.020743 Loss_D_fake -0.002250
[1512/5000][460/535][156093] Loss_D: -0.021440 Loss_G: 0.012309 Loss_D_real: -0.013563 Loss_D_fake 0.007877
[1512/5000][465/535][156094] Loss_D: -0.021008 Loss_G: 0.012304 Loss_D_real: -0.013599 Loss_D_fake 0.007409
[1512/5000][470/535][156095] Loss_D: -0.021418 Loss_G: 0.025946 Loss_D_real: -0.011111 Loss_D_fake 0.010307
[1512/5000][475/535][156096] Loss_D: -0.020735 Loss_G: 0.001736 Loss_D_real: -0.022424 Loss_D_fake -0.001689
[1512/5000][480/535][156097] Loss_D: -0.019580 Loss_G: -0.000225 Loss_D_real: -0.009657 Loss_D_fake 0.009922
[1512/5000][485/535][156098] Loss_D: -0.020704 Loss_G: -0.005706 Loss_D_real: -0.014947 Loss_D_fake 0.005757
[1512/5000][490/535][156099] Loss_D: -0.019749 Loss_G: 0.002623 Loss_D_real: -0.000451 Loss_D_fake 0.019298
[1512/5000][495/535][156100] Loss_D: -0.020619 Loss_G: 0.009067 Loss_D_real: -0.013394 Loss_D_fake 0.007224
[1512/5000][500/535][156101] Loss_D: -0.018573 Loss_G: -0.003641 Loss_D_real: 0.002403 Loss_D_fake 0.020976
[1512/5000][505/535][156102] Loss_D: -0.020050 Loss_G: -0.010279 Loss_D_real: -0.009605 Loss_D_fake 0.010445
[1512/5000][510/535][156103] Loss_D: -0.020521 Loss_G: 0.013969 Loss_D_real: -0.014931 Loss_D_fake 0.005590
[1512/5000][515/535][156104] Loss_D: -0.019117 Loss_G: -0.012307 Loss_D_real: -0.015251 Loss_D_fake 0.003866
[1512/5000][520/535][156105] Loss_D: -0.019316 Loss_G: 0.017409 Loss_D_real: -0.030624 Loss_D_fake -0.011308
[1512/5000][525/535][156106] Loss_D: -0.019087 Loss_G: -0.014703 Loss_D_real: 0.004989 Loss_D_fake 0.024076
[1512/5000][530/535][156107] Loss_D: -0.019717 Loss_G: 0.001840 Loss_D_real: -0.025000 Loss_D_fake -0.005282
[1512/5000][535/535][156108] Loss_D: -0.022567 Loss_G: -0.000913 Loss_D_real: 0.000940 Loss_D_fake 0.023507
[1513/5000][5/535][156109] Loss_D: -0.020088 Loss_G: 0.004764 Loss_D_real: -0.005851 Loss_D_fake 0.014237
[1513/5000][10/535][156110] Loss_D: -0.019885 Loss_G: 0.001306 Loss_D_real: -0.007386 Loss_D_fake 0.012498
[1513/5000][15/535][156111] Loss_D: -0.018534 Loss_G: 0.019379 Loss_D_real: -0.026275 Loss_D_fake -0.007741
[1513/5000][20/535][156112] Loss_D: -0.019764 Loss_G: 0.011456 Loss_D_real: -0.022835 Loss_D_fake -0.003072
[1513/5000][25/535][156113] Loss_D: -0.020257 Loss_G: -0.002847 Loss_D_real: -0.012980 Loss_D_fake 0.007277
[1513/5000][30/535][156114] Loss_D: -0.019555 Loss_G: 0.018681 Loss_D_real: -0.012950 Loss_D_fake 0.006605
[1513/5000][35/535][156115] Loss_D: -0.017873 Loss_G: 0.003114 Loss_D_real: -0.011384 Loss_D_fake 0.006488
[1513/5000][40/535][156116] Loss_D: -0.018746 Loss_G: 0.014838 Loss_D_real: -0.022773 Loss_D_fake -0.004027
[1513/5000][45/535][156117] Loss_D: -0.020887 Loss_G: 0.001838 Loss_D_real: -0.019687 Loss_D_fake 0.001201
[1513/5000][50/535][156118] Loss_D: -0.022510 Loss_G: -0.020255 Loss_D_real: -0.004730 Loss_D_fake 0.017781
[1513/5000][55/535][156119] Loss_D: -0.018256 Loss_G: -0.002007 Loss_D_real: -0.009256 Loss_D_fake 0.009000
[1513/5000][60/535][156120] Loss_D: -0.018966 Loss_G: 0.022148 Loss_D_real: -0.019319 Loss_D_fake -0.000353
[1513/5000][65/535][156121] Loss_D: -0.019353 Loss_G: 0.008374 Loss_D_real: -0.008395 Loss_D_fake 0.010958
[1513/5000][70/535][156122] Loss_D: -0.019845 Loss_G: 0.010014 Loss_D_real: -0.027440 Loss_D_fake -0.007595
[1513/5000][75/535][156123] Loss_D: -0.019849 Loss_G: 0.020504 Loss_D_real: -0.013661 Loss_D_fake 0.006188
[1513/5000][80/535][156124] Loss_D: -0.019445 Loss_G: 0.019626 Loss_D_real: -0.028225 Loss_D_fake -0.008781
[1513/5000][85/535][156125] Loss_D: -0.020291 Loss_G: -0.000951 Loss_D_real: -0.014377 Loss_D_fake 0.005915
[1513/5000][90/535][156126] Loss_D: -0.020036 Loss_G: -0.001052 Loss_D_real: -0.006219 Loss_D_fake 0.013817
[1513/5000][95/535][156127] Loss_D: -0.020074 Loss_G: 0.022474 Loss_D_real: -0.030078 Loss_D_fake -0.010004
[1513/5000][100/535][156128] Loss_D: -0.020137 Loss_G: 0.012290 Loss_D_real: -0.019404 Loss_D_fake 0.000732
[1513/5000][105/535][156129] Loss_D: -0.021782 Loss_G: 0.010781 Loss_D_real: -0.006973 Loss_D_fake 0.014809
[1513/5000][110/535][156130] Loss_D: -0.020147 Loss_G: 0.010612 Loss_D_real: -0.010649 Loss_D_fake 0.009499
[1513/5000][115/535][156131] Loss_D: -0.020434 Loss_G: 0.013901 Loss_D_real: -0.020843 Loss_D_fake -0.000408
[1513/5000][120/535][156132] Loss_D: -0.018616 Loss_G: -0.001842 Loss_D_real: -0.010034 Loss_D_fake 0.008582
[1513/5000][125/535][156133] Loss_D: -0.018560 Loss_G: 0.030588 Loss_D_real: -0.027468 Loss_D_fake -0.008908
[1513/5000][130/535][156134] Loss_D: -0.019045 Loss_G: -0.009279 Loss_D_real: -0.011202 Loss_D_fake 0.007843
[1513/5000][135/535][156135] Loss_D: -0.019608 Loss_G: -0.018081 Loss_D_real: -0.001457 Loss_D_fake 0.018151
[1513/5000][140/535][156136] Loss_D: -0.019796 Loss_G: 0.020333 Loss_D_real: -0.021577 Loss_D_fake -0.001781
[1513/5000][145/535][156137] Loss_D: -0.021058 Loss_G: 0.016660 Loss_D_real: -0.032582 Loss_D_fake -0.011523
[1513/5000][150/535][156138] Loss_D: -0.020735 Loss_G: 0.016790 Loss_D_real: -0.017641 Loss_D_fake 0.003094
[1513/5000][155/535][156139] Loss_D: -0.018715 Loss_G: 0.018923 Loss_D_real: -0.028257 Loss_D_fake -0.009541
[1513/5000][160/535][156140] Loss_D: -0.021091 Loss_G: -0.006227 Loss_D_real: -0.017720 Loss_D_fake 0.003371
[1513/5000][165/535][156141] Loss_D: -0.019578 Loss_G: -0.005555 Loss_D_real: -0.011662 Loss_D_fake 0.007916
[1513/5000][170/535][156142] Loss_D: -0.018658 Loss_G: -0.005606 Loss_D_real: -0.007027 Loss_D_fake 0.011631
[1513/5000][175/535][156143] Loss_D: -0.018588 Loss_G: 0.034148 Loss_D_real: -0.020388 Loss_D_fake -0.001800
[1513/5000][180/535][156144] Loss_D: -0.018692 Loss_G: 0.007322 Loss_D_real: -0.003726 Loss_D_fake 0.014966
[1513/5000][185/535][156145] Loss_D: -0.019201 Loss_G: -0.008816 Loss_D_real: -0.010441 Loss_D_fake 0.008760
[1513/5000][190/535][156146] Loss_D: -0.018629 Loss_G: 0.015704 Loss_D_real: -0.027347 Loss_D_fake -0.008718
[1513/5000][195/535][156147] Loss_D: -0.019276 Loss_G: 0.005681 Loss_D_real: -0.009138 Loss_D_fake 0.010138
[1513/5000][200/535][156148] Loss_D: -0.020674 Loss_G: 0.004100 Loss_D_real: -0.014764 Loss_D_fake 0.005910
[1513/5000][205/535][156149] Loss_D: -0.021443 Loss_G: 0.018235 Loss_D_real: -0.017312 Loss_D_fake 0.004130
[1513/5000][210/535][156150] Loss_D: -0.019148 Loss_G: -0.000528 Loss_D_real: 0.000531 Loss_D_fake 0.019679
[1513/5000][215/535][156151] Loss_D: -0.019464 Loss_G: 0.004273 Loss_D_real: -0.026823 Loss_D_fake -0.007359
[1513/5000][220/535][156152] Loss_D: -0.021487 Loss_G: 0.006701 Loss_D_real: -0.012481 Loss_D_fake 0.009005
[1513/5000][225/535][156153] Loss_D: -0.019663 Loss_G: -0.000799 Loss_D_real: -0.011786 Loss_D_fake 0.007877
[1513/5000][230/535][156154] Loss_D: -0.020023 Loss_G: 0.008448 Loss_D_real: -0.009855 Loss_D_fake 0.010169
[1513/5000][235/535][156155] Loss_D: -0.019301 Loss_G: 0.013009 Loss_D_real: -0.012349 Loss_D_fake 0.006952
[1513/5000][240/535][156156] Loss_D: -0.019457 Loss_G: 0.003561 Loss_D_real: -0.025375 Loss_D_fake -0.005918
[1513/5000][245/535][156157] Loss_D: -0.020306 Loss_G: 0.000173 Loss_D_real: -0.008094 Loss_D_fake 0.012212
[1513/5000][250/535][156158] Loss_D: -0.019243 Loss_G: 0.030708 Loss_D_real: -0.016163 Loss_D_fake 0.003080
[1513/5000][255/535][156159] Loss_D: -0.017823 Loss_G: -0.005128 Loss_D_real: -0.007420 Loss_D_fake 0.010404
[1513/5000][260/535][156160] Loss_D: -0.019162 Loss_G: 0.024108 Loss_D_real: -0.032602 Loss_D_fake -0.013440
[1513/5000][265/535][156161] Loss_D: -0.021219 Loss_G: 0.021549 Loss_D_real: -0.027719 Loss_D_fake -0.006501
[1513/5000][270/535][156162] Loss_D: -0.019558 Loss_G: -0.006186 Loss_D_real: -0.016763 Loss_D_fake 0.002795
[1513/5000][275/535][156163] Loss_D: -0.019222 Loss_G: 0.005448 Loss_D_real: -0.021475 Loss_D_fake -0.002252
[1513/5000][280/535][156164] Loss_D: -0.018572 Loss_G: 0.006665 Loss_D_real: -0.009691 Loss_D_fake 0.008881
[1513/5000][285/535][156165] Loss_D: -0.020314 Loss_G: 0.002671 Loss_D_real: -0.009831 Loss_D_fake 0.010483
[1513/5000][290/535][156166] Loss_D: -0.019703 Loss_G: 0.024538 Loss_D_real: -0.023177 Loss_D_fake -0.003475
[1513/5000][295/535][156167] Loss_D: -0.020070 Loss_G: 0.011585 Loss_D_real: -0.019085 Loss_D_fake 0.000984
[1513/5000][300/535][156168] Loss_D: -0.019139 Loss_G: 0.012193 Loss_D_real: -0.018840 Loss_D_fake 0.000298
[1513/5000][305/535][156169] Loss_D: -0.020346 Loss_G: -0.001849 Loss_D_real: -0.013763 Loss_D_fake 0.006582
[1513/5000][310/535][156170] Loss_D: -0.019607 Loss_G: 0.016903 Loss_D_real: -0.021032 Loss_D_fake -0.001425
[1513/5000][315/535][156171] Loss_D: -0.019374 Loss_G: 0.010882 Loss_D_real: -0.008959 Loss_D_fake 0.010416
[1513/5000][320/535][156172] Loss_D: -0.018823 Loss_G: 0.010891 Loss_D_real: -0.028324 Loss_D_fake -0.009501
[1513/5000][325/535][156173] Loss_D: -0.019995 Loss_G: -0.000815 Loss_D_real: -0.002062 Loss_D_fake 0.017934
[1513/5000][330/535][156174] Loss_D: -0.020264 Loss_G: 0.018749 Loss_D_real: -0.017223 Loss_D_fake 0.003041
[1513/5000][335/535][156175] Loss_D: -0.020935 Loss_G: 0.001162 Loss_D_real: -0.007610 Loss_D_fake 0.013324
[1513/5000][340/535][156176] Loss_D: -0.019952 Loss_G: -0.003931 Loss_D_real: -0.015032 Loss_D_fake 0.004919
[1513/5000][345/535][156177] Loss_D: -0.019219 Loss_G: -0.003689 Loss_D_real: -0.004416 Loss_D_fake 0.014803
[1513/5000][350/535][156178] Loss_D: -0.020031 Loss_G: -0.006260 Loss_D_real: 0.006960 Loss_D_fake 0.026991
[1513/5000][355/535][156179] Loss_D: -0.020228 Loss_G: 0.017636 Loss_D_real: -0.016185 Loss_D_fake 0.004043
[1513/5000][360/535][156180] Loss_D: -0.020362 Loss_G: 0.001836 Loss_D_real: -0.009695 Loss_D_fake 0.010667
[1513/5000][365/535][156181] Loss_D: -0.020519 Loss_G: 0.002739 Loss_D_real: -0.013084 Loss_D_fake 0.007434
[1513/5000][370/535][156182] Loss_D: -0.020251 Loss_G: 0.009654 Loss_D_real: -0.026284 Loss_D_fake -0.006033
[1513/5000][375/535][156183] Loss_D: -0.020557 Loss_G: -0.008245 Loss_D_real: -0.003391 Loss_D_fake 0.017165
[1513/5000][380/535][156184] Loss_D: -0.019391 Loss_G: 0.021497 Loss_D_real: -0.026635 Loss_D_fake -0.007243
[1513/5000][385/535][156185] Loss_D: -0.018882 Loss_G: 0.005595 Loss_D_real: -0.013554 Loss_D_fake 0.005328
[1513/5000][390/535][156186] Loss_D: -0.019943 Loss_G: 0.003817 Loss_D_real: -0.015118 Loss_D_fake 0.004825
[1513/5000][395/535][156187] Loss_D: -0.018837 Loss_G: -0.015441 Loss_D_real: -0.001182 Loss_D_fake 0.017656
[1513/5000][400/535][156188] Loss_D: -0.019269 Loss_G: 0.016111 Loss_D_real: -0.020180 Loss_D_fake -0.000911
[1513/5000][405/535][156189] Loss_D: -0.020946 Loss_G: 0.012608 Loss_D_real: -0.012488 Loss_D_fake 0.008458
[1513/5000][410/535][156190] Loss_D: -0.019617 Loss_G: 0.003135 Loss_D_real: -0.007647 Loss_D_fake 0.011969
[1513/5000][415/535][156191] Loss_D: -0.019422 Loss_G: 0.002256 Loss_D_real: -0.011469 Loss_D_fake 0.007953
[1513/5000][420/535][156192] Loss_D: -0.017852 Loss_G: -0.010134 Loss_D_real: -0.003815 Loss_D_fake 0.014037
[1513/5000][425/535][156193] Loss_D: -0.018866 Loss_G: 0.010178 Loss_D_real: -0.027909 Loss_D_fake -0.009042
[1513/5000][430/535][156194] Loss_D: -0.019998 Loss_G: -0.016717 Loss_D_real: -0.005101 Loss_D_fake 0.014897
[1513/5000][435/535][156195] Loss_D: -0.019136 Loss_G: 0.003086 Loss_D_real: -0.011580 Loss_D_fake 0.007555
[1513/5000][440/535][156196] Loss_D: -0.019491 Loss_G: 0.004493 Loss_D_real: -0.012496 Loss_D_fake 0.006995
[1513/5000][445/535][156197] Loss_D: -0.019826 Loss_G: 0.003515 Loss_D_real: -0.020652 Loss_D_fake -0.000825
[1513/5000][450/535][156198] Loss_D: -0.019953 Loss_G: -0.006671 Loss_D_real: -0.004266 Loss_D_fake 0.015686
[1513/5000][455/535][156199] Loss_D: -0.018733 Loss_G: 0.012220 Loss_D_real: -0.023455 Loss_D_fake -0.004721
[1513/5000][460/535][156200] Loss_D: -0.020230 Loss_G: 0.000374 Loss_D_real: -0.011472 Loss_D_fake 0.008757
[1513/5000][465/535][156201] Loss_D: -0.020204 Loss_G: 0.012220 Loss_D_real: -0.015086 Loss_D_fake 0.005118
[1513/5000][470/535][156202] Loss_D: -0.019283 Loss_G: 0.035307 Loss_D_real: -0.028365 Loss_D_fake -0.009082
[1513/5000][475/535][156203] Loss_D: -0.018805 Loss_G: -0.020680 Loss_D_real: -0.008238 Loss_D_fake 0.010567
[1513/5000][480/535][156204] Loss_D: -0.018964 Loss_G: 0.011446 Loss_D_real: -0.025441 Loss_D_fake -0.006476
[1513/5000][485/535][156205] Loss_D: -0.019028 Loss_G: 0.011523 Loss_D_real: -0.017907 Loss_D_fake 0.001121
[1513/5000][490/535][156206] Loss_D: -0.019442 Loss_G: 0.019361 Loss_D_real: -0.015820 Loss_D_fake 0.003622
[1513/5000][495/535][156207] Loss_D: -0.020376 Loss_G: -0.005763 Loss_D_real: -0.000855 Loss_D_fake 0.019522
[1513/5000][500/535][156208] Loss_D: -0.019641 Loss_G: 0.017382 Loss_D_real: -0.022857 Loss_D_fake -0.003216
[1513/5000][505/535][156209] Loss_D: -0.020389 Loss_G: -0.005757 Loss_D_real: -0.016621 Loss_D_fake 0.003767
[1513/5000][510/535][156210] Loss_D: -0.019731 Loss_G: 0.027310 Loss_D_real: -0.022452 Loss_D_fake -0.002721
[1513/5000][515/535][156211] Loss_D: -0.019301 Loss_G: 0.022893 Loss_D_real: -0.028031 Loss_D_fake -0.008730
[1513/5000][520/535][156212] Loss_D: -0.019085 Loss_G: 0.009902 Loss_D_real: -0.002474 Loss_D_fake 0.016612
[1513/5000][525/535][156213] Loss_D: -0.018335 Loss_G: 0.013204 Loss_D_real: -0.032293 Loss_D_fake -0.013958
[1513/5000][530/535][156214] Loss_D: -0.018774 Loss_G: 0.002341 Loss_D_real: -0.006744 Loss_D_fake 0.012030
[1513/5000][535/535][156215] Loss_D: -0.018920 Loss_G: 0.004908 Loss_D_real: -0.004507 Loss_D_fake 0.014413
[1514/5000][5/535][156216] Loss_D: -0.019111 Loss_G: 0.001038 Loss_D_real: -0.017344 Loss_D_fake 0.001767
[1514/5000][10/535][156217] Loss_D: -0.019591 Loss_G: 0.019341 Loss_D_real: -0.026472 Loss_D_fake -0.006881
[1514/5000][15/535][156218] Loss_D: -0.021633 Loss_G: 0.006281 Loss_D_real: -0.022785 Loss_D_fake -0.001152
[1514/5000][20/535][156219] Loss_D: -0.019104 Loss_G: -0.007449 Loss_D_real: -0.001044 Loss_D_fake 0.018060
[1514/5000][25/535][156220] Loss_D: -0.019472 Loss_G: 0.012597 Loss_D_real: -0.024450 Loss_D_fake -0.004978
[1514/5000][30/535][156221] Loss_D: -0.019130 Loss_G: 0.014746 Loss_D_real: -0.012812 Loss_D_fake 0.006318
[1514/5000][35/535][156222] Loss_D: -0.020477 Loss_G: 0.004311 Loss_D_real: -0.022667 Loss_D_fake -0.002189
[1514/5000][40/535][156223] Loss_D: -0.020675 Loss_G: 0.007125 Loss_D_real: -0.014442 Loss_D_fake 0.006233
[1514/5000][45/535][156224] Loss_D: -0.019922 Loss_G: -0.003046 Loss_D_real: -0.007560 Loss_D_fake 0.012362
[1514/5000][50/535][156225] Loss_D: -0.018423 Loss_G: -0.005217 Loss_D_real: -0.006823 Loss_D_fake 0.011600
[1514/5000][55/535][156226] Loss_D: -0.021010 Loss_G: 0.008528 Loss_D_real: 0.002898 Loss_D_fake 0.023909
[1514/5000][60/535][156227] Loss_D: -0.021893 Loss_G: 0.011434 Loss_D_real: -0.027925 Loss_D_fake -0.006032
[1514/5000][65/535][156228] Loss_D: -0.021464 Loss_G: 0.002700 Loss_D_real: 0.005425 Loss_D_fake 0.026889
[1514/5000][70/535][156229] Loss_D: -0.021447 Loss_G: -0.004684 Loss_D_real: -0.012387 Loss_D_fake 0.009061
[1514/5000][75/535][156230] Loss_D: -0.020263 Loss_G: 0.020409 Loss_D_real: -0.018915 Loss_D_fake 0.001348
[1514/5000][80/535][156231] Loss_D: -0.021719 Loss_G: 0.009521 Loss_D_real: -0.028148 Loss_D_fake -0.006429
[1514/5000][85/535][156232] Loss_D: -0.021422 Loss_G: 0.002647 Loss_D_real: -0.018877 Loss_D_fake 0.002545
[1514/5000][90/535][156233] Loss_D: -0.019546 Loss_G: 0.031663 Loss_D_real: -0.031391 Loss_D_fake -0.011845
[1514/5000][95/535][156234] Loss_D: -0.020340 Loss_G: 0.001862 Loss_D_real: -0.011695 Loss_D_fake 0.008645
[1514/5000][100/535][156235] Loss_D: -0.020327 Loss_G: 0.021170 Loss_D_real: -0.030602 Loss_D_fake -0.010275
[1514/5000][105/535][156236] Loss_D: -0.020525 Loss_G: 0.002263 Loss_D_real: -0.008565 Loss_D_fake 0.011960
[1514/5000][110/535][156237] Loss_D: -0.020289 Loss_G: -0.000446 Loss_D_real: -0.013185 Loss_D_fake 0.007104
[1514/5000][115/535][156238] Loss_D: -0.019351 Loss_G: -0.003217 Loss_D_real: -0.004194 Loss_D_fake 0.015156
[1514/5000][120/535][156239] Loss_D: -0.018927 Loss_G: 0.024098 Loss_D_real: -0.018140 Loss_D_fake 0.000787
[1514/5000][125/535][156240] Loss_D: -0.021178 Loss_G: 0.005561 Loss_D_real: -0.023405 Loss_D_fake -0.002228
[1514/5000][130/535][156241] Loss_D: -0.020287 Loss_G: -0.006313 Loss_D_real: -0.012505 Loss_D_fake 0.007782
[1514/5000][135/535][156242] Loss_D: -0.020193 Loss_G: 0.013678 Loss_D_real: -0.017594 Loss_D_fake 0.002598
[1514/5000][140/535][156243] Loss_D: -0.020148 Loss_G: -0.016599 Loss_D_real: -0.009460 Loss_D_fake 0.010688
[1514/5000][145/535][156244] Loss_D: -0.019028 Loss_G: 0.025125 Loss_D_real: -0.015939 Loss_D_fake 0.003089
[1514/5000][150/535][156245] Loss_D: -0.020348 Loss_G: 0.016539 Loss_D_real: -0.011756 Loss_D_fake 0.008592
[1514/5000][155/535][156246] Loss_D: -0.019860 Loss_G: 0.018095 Loss_D_real: -0.032281 Loss_D_fake -0.012421
[1514/5000][160/535][156247] Loss_D: -0.019064 Loss_G: 0.016324 Loss_D_real: -0.029854 Loss_D_fake -0.010790
[1514/5000][165/535][156248] Loss_D: -0.020771 Loss_G: -0.003580 Loss_D_real: -0.011613 Loss_D_fake 0.009157
[1514/5000][170/535][156249] Loss_D: -0.019913 Loss_G: 0.012628 Loss_D_real: -0.026209 Loss_D_fake -0.006297
[1514/5000][175/535][156250] Loss_D: -0.021725 Loss_G: -0.007029 Loss_D_real: -0.010086 Loss_D_fake 0.011639
[1514/5000][180/535][156251] Loss_D: -0.019702 Loss_G: 0.003779 Loss_D_real: -0.005591 Loss_D_fake 0.014110
[1514/5000][185/535][156252] Loss_D: -0.019534 Loss_G: 0.026469 Loss_D_real: -0.027923 Loss_D_fake -0.008389
[1514/5000][190/535][156253] Loss_D: -0.019747 Loss_G: 0.019518 Loss_D_real: -0.011833 Loss_D_fake 0.007914
[1514/5000][195/535][156254] Loss_D: -0.019534 Loss_G: 0.009293 Loss_D_real: -0.020838 Loss_D_fake -0.001304
[1514/5000][200/535][156255] Loss_D: -0.020123 Loss_G: -0.002347 Loss_D_real: -0.018099 Loss_D_fake 0.002024
[1514/5000][205/535][156256] Loss_D: -0.022115 Loss_G: 0.020971 Loss_D_real: -0.016495 Loss_D_fake 0.005620
[1514/5000][210/535][156257] Loss_D: -0.019516 Loss_G: 0.036224 Loss_D_real: -0.028717 Loss_D_fake -0.009201
[1514/5000][215/535][156258] Loss_D: -0.019945 Loss_G: -0.003533 Loss_D_real: -0.012861 Loss_D_fake 0.007084
[1514/5000][220/535][156259] Loss_D: -0.020107 Loss_G: 0.004996 Loss_D_real: -0.033612 Loss_D_fake -0.013504
[1514/5000][225/535][156260] Loss_D: -0.019228 Loss_G: 0.019145 Loss_D_real: -0.026155 Loss_D_fake -0.006927
[1514/5000][230/535][156261] Loss_D: -0.018733 Loss_G: 0.026611 Loss_D_real: -0.018538 Loss_D_fake 0.000195
[1514/5000][235/535][156262] Loss_D: -0.018797 Loss_G: 0.013462 Loss_D_real: -0.016948 Loss_D_fake 0.001849
[1514/5000][240/535][156263] Loss_D: -0.019031 Loss_G: 0.015927 Loss_D_real: -0.023219 Loss_D_fake -0.004188
[1514/5000][245/535][156264] Loss_D: -0.019261 Loss_G: -0.003326 Loss_D_real: -0.014863 Loss_D_fake 0.004398
[1514/5000][250/535][156265] Loss_D: -0.018429 Loss_G: 0.013024 Loss_D_real: -0.025779 Loss_D_fake -0.007349
[1514/5000][255/535][156266] Loss_D: -0.018440 Loss_G: 0.004638 Loss_D_real: -0.021786 Loss_D_fake -0.003346
[1514/5000][260/535][156267] Loss_D: -0.018905 Loss_G: 0.015065 Loss_D_real: -0.017823 Loss_D_fake 0.001082
[1514/5000][265/535][156268] Loss_D: -0.019602 Loss_G: 0.016144 Loss_D_real: -0.030482 Loss_D_fake -0.010880
[1514/5000][270/535][156269] Loss_D: -0.018406 Loss_G: 0.011125 Loss_D_real: -0.018989 Loss_D_fake -0.000583
[1514/5000][275/535][156270] Loss_D: -0.019791 Loss_G: 0.011358 Loss_D_real: -0.028016 Loss_D_fake -0.008224
[1514/5000][280/535][156271] Loss_D: -0.019313 Loss_G: 0.017018 Loss_D_real: -0.027795 Loss_D_fake -0.008482
[1514/5000][285/535][156272] Loss_D: -0.021371 Loss_G: 0.006431 Loss_D_real: -0.016930 Loss_D_fake 0.004441
[1514/5000][290/535][156273] Loss_D: -0.020256 Loss_G: 0.014892 Loss_D_real: -0.031324 Loss_D_fake -0.011068
[1514/5000][295/535][156274] Loss_D: -0.020825 Loss_G: -0.007925 Loss_D_real: -0.016421 Loss_D_fake 0.004403
[1514/5000][300/535][156275] Loss_D: -0.020605 Loss_G: 0.002385 Loss_D_real: -0.005446 Loss_D_fake 0.015159
[1514/5000][305/535][156276] Loss_D: -0.020267 Loss_G: 0.021995 Loss_D_real: -0.022357 Loss_D_fake -0.002090
[1514/5000][310/535][156277] Loss_D: -0.019470 Loss_G: 0.002595 Loss_D_real: -0.013490 Loss_D_fake 0.005980
[1514/5000][315/535][156278] Loss_D: -0.020743 Loss_G: 0.016449 Loss_D_real: -0.031485 Loss_D_fake -0.010742
[1514/5000][320/535][156279] Loss_D: -0.019710 Loss_G: -0.004937 Loss_D_real: -0.013138 Loss_D_fake 0.006573
[1514/5000][325/535][156280] Loss_D: -0.018919 Loss_G: 0.001317 Loss_D_real: -0.010337 Loss_D_fake 0.008582
[1514/5000][330/535][156281] Loss_D: -0.021157 Loss_G: 0.010132 Loss_D_real: -0.013583 Loss_D_fake 0.007574
[1514/5000][335/535][156282] Loss_D: -0.021794 Loss_G: -0.009709 Loss_D_real: -0.007279 Loss_D_fake 0.014515
[1514/5000][340/535][156283] Loss_D: -0.019269 Loss_G: -0.006029 Loss_D_real: -0.010944 Loss_D_fake 0.008325
[1514/5000][345/535][156284] Loss_D: -0.019853 Loss_G: 0.014210 Loss_D_real: -0.015371 Loss_D_fake 0.004483
[1514/5000][350/535][156285] Loss_D: -0.019768 Loss_G: 0.018987 Loss_D_real: -0.020169 Loss_D_fake -0.000402
[1514/5000][355/535][156286] Loss_D: -0.019935 Loss_G: 0.018929 Loss_D_real: -0.010476 Loss_D_fake 0.009459
[1514/5000][360/535][156287] Loss_D: -0.019411 Loss_G: 0.010250 Loss_D_real: -0.023446 Loss_D_fake -0.004034
[1514/5000][365/535][156288] Loss_D: -0.019568 Loss_G: 0.007074 Loss_D_real: -0.027382 Loss_D_fake -0.007814
[1514/5000][370/535][156289] Loss_D: -0.020217 Loss_G: -0.014947 Loss_D_real: -0.009605 Loss_D_fake 0.010612
[1514/5000][375/535][156290] Loss_D: -0.020053 Loss_G: 0.014355 Loss_D_real: -0.028093 Loss_D_fake -0.008040
[1514/5000][380/535][156291] Loss_D: -0.018921 Loss_G: 0.009647 Loss_D_real: -0.014171 Loss_D_fake 0.004750
[1514/5000][385/535][156292] Loss_D: -0.018218 Loss_G: 0.024467 Loss_D_real: -0.034512 Loss_D_fake -0.016294
[1514/5000][390/535][156293] Loss_D: -0.020304 Loss_G: 0.011063 Loss_D_real: -0.016407 Loss_D_fake 0.003897
[1514/5000][395/535][156294] Loss_D: -0.019375 Loss_G: 0.002034 Loss_D_real: -0.013464 Loss_D_fake 0.005911
[1514/5000][400/535][156295] Loss_D: -0.019983 Loss_G: -0.002806 Loss_D_real: -0.010775 Loss_D_fake 0.009208
[1514/5000][405/535][156296] Loss_D: -0.019492 Loss_G: 0.026352 Loss_D_real: -0.021294 Loss_D_fake -0.001802
[1514/5000][410/535][156297] Loss_D: -0.018431 Loss_G: -0.008042 Loss_D_real: -0.005795 Loss_D_fake 0.012636
[1514/5000][415/535][156298] Loss_D: -0.019898 Loss_G: 0.015641 Loss_D_real: -0.022377 Loss_D_fake -0.002478
[1514/5000][420/535][156299] Loss_D: -0.018733 Loss_G: 0.017132 Loss_D_real: -0.019026 Loss_D_fake -0.000293
[1514/5000][425/535][156300] Loss_D: -0.019579 Loss_G: 0.016236 Loss_D_real: -0.023991 Loss_D_fake -0.004412
[1514/5000][430/535][156301] Loss_D: -0.020325 Loss_G: 0.004788 Loss_D_real: -0.019100 Loss_D_fake 0.001225
[1514/5000][435/535][156302] Loss_D: -0.020226 Loss_G: -0.006597 Loss_D_real: -0.013266 Loss_D_fake 0.006961
[1514/5000][440/535][156303] Loss_D: -0.019438 Loss_G: -0.006120 Loss_D_real: 0.005085 Loss_D_fake 0.024523
[1514/5000][445/535][156304] Loss_D: -0.020137 Loss_G: 0.012206 Loss_D_real: -0.010330 Loss_D_fake 0.009807
[1514/5000][450/535][156305] Loss_D: -0.019841 Loss_G: 0.006803 Loss_D_real: -0.015743 Loss_D_fake 0.004098
[1514/5000][455/535][156306] Loss_D: -0.020365 Loss_G: -0.005428 Loss_D_real: -0.010273 Loss_D_fake 0.010093
[1514/5000][460/535][156307] Loss_D: -0.018752 Loss_G: 0.020218 Loss_D_real: -0.032849 Loss_D_fake -0.014097
[1514/5000][465/535][156308] Loss_D: -0.020520 Loss_G: 0.010073 Loss_D_real: -0.022062 Loss_D_fake -0.001542
[1514/5000][470/535][156309] Loss_D: -0.019867 Loss_G: 0.000484 Loss_D_real: -0.017244 Loss_D_fake 0.002623
[1514/5000][475/535][156310] Loss_D: -0.018738 Loss_G: 0.002228 Loss_D_real: -0.001551 Loss_D_fake 0.017187
[1514/5000][480/535][156311] Loss_D: -0.018193 Loss_G: -0.005418 Loss_D_real: -0.007207 Loss_D_fake 0.010986
[1514/5000][485/535][156312] Loss_D: -0.021028 Loss_G: 0.008298 Loss_D_real: -0.002382 Loss_D_fake 0.018646
[1514/5000][490/535][156313] Loss_D: -0.020102 Loss_G: 0.004653 Loss_D_real: -0.012409 Loss_D_fake 0.007693
[1514/5000][495/535][156314] Loss_D: -0.019904 Loss_G: 0.022084 Loss_D_real: -0.008834 Loss_D_fake 0.011070
[1514/5000][500/535][156315] Loss_D: -0.019870 Loss_G: 0.011395 Loss_D_real: -0.012036 Loss_D_fake 0.007834
[1514/5000][505/535][156316] Loss_D: -0.020001 Loss_G: 0.019937 Loss_D_real: -0.027841 Loss_D_fake -0.007840
[1514/5000][510/535][156317] Loss_D: -0.019987 Loss_G: 0.018888 Loss_D_real: -0.013757 Loss_D_fake 0.006230
[1514/5000][515/535][156318] Loss_D: -0.019465 Loss_G: 0.014137 Loss_D_real: -0.025578 Loss_D_fake -0.006113
[1514/5000][520/535][156319] Loss_D: -0.019306 Loss_G: 0.025883 Loss_D_real: -0.022132 Loss_D_fake -0.002826
[1514/5000][525/535][156320] Loss_D: -0.020098 Loss_G: -0.007396 Loss_D_real: -0.015456 Loss_D_fake 0.004642
[1514/5000][530/535][156321] Loss_D: -0.020469 Loss_G: -0.012844 Loss_D_real: -0.006879 Loss_D_fake 0.013589
[1514/5000][535/535][156322] Loss_D: -0.019726 Loss_G: 0.027807 Loss_D_real: -0.026190 Loss_D_fake -0.006464
[1515/5000][5/535][156323] Loss_D: -0.020567 Loss_G: -0.008971 Loss_D_real: -0.011187 Loss_D_fake 0.009380
[1515/5000][10/535][156324] Loss_D: -0.019559 Loss_G: -0.003801 Loss_D_real: -0.017945 Loss_D_fake 0.001614
[1515/5000][15/535][156325] Loss_D: -0.020657 Loss_G: 0.000667 Loss_D_real: -0.003265 Loss_D_fake 0.017391
[1515/5000][20/535][156326] Loss_D: -0.020010 Loss_G: 0.027061 Loss_D_real: -0.018341 Loss_D_fake 0.001669
[1515/5000][25/535][156327] Loss_D: -0.020526 Loss_G: 0.010188 Loss_D_real: -0.007703 Loss_D_fake 0.012823
[1515/5000][30/535][156328] Loss_D: -0.019851 Loss_G: -0.003872 Loss_D_real: -0.004566 Loss_D_fake 0.015285
[1515/5000][35/535][156329] Loss_D: -0.019277 Loss_G: 0.008610 Loss_D_real: -0.013112 Loss_D_fake 0.006165
[1515/5000][40/535][156330] Loss_D: -0.020254 Loss_G: 0.023477 Loss_D_real: -0.020828 Loss_D_fake -0.000573
[1515/5000][45/535][156331] Loss_D: -0.019906 Loss_G: 0.005832 Loss_D_real: -0.008339 Loss_D_fake 0.011566
[1515/5000][50/535][156332] Loss_D: -0.021082 Loss_G: 0.011847 Loss_D_real: -0.026710 Loss_D_fake -0.005628
[1515/5000][55/535][156333] Loss_D: -0.020181 Loss_G: 0.007783 Loss_D_real: -0.015432 Loss_D_fake 0.004749
[1515/5000][60/535][156334] Loss_D: -0.020206 Loss_G: -0.002571 Loss_D_real: -0.010271 Loss_D_fake 0.009935
[1515/5000][65/535][156335] Loss_D: -0.019853 Loss_G: 0.021666 Loss_D_real: -0.023026 Loss_D_fake -0.003174
[1515/5000][70/535][156336] Loss_D: -0.019777 Loss_G: -0.000887 Loss_D_real: -0.020764 Loss_D_fake -0.000987
[1515/5000][75/535][156337] Loss_D: -0.019442 Loss_G: 0.021035 Loss_D_real: -0.043836 Loss_D_fake -0.024394
[1515/5000][80/535][156338] Loss_D: -0.018647 Loss_G: 0.021803 Loss_D_real: -0.024688 Loss_D_fake -0.006041
[1515/5000][85/535][156339] Loss_D: -0.018463 Loss_G: -0.018812 Loss_D_real: -0.003916 Loss_D_fake 0.014548
[1515/5000][90/535][156340] Loss_D: -0.019790 Loss_G: 0.008477 Loss_D_real: -0.017227 Loss_D_fake 0.002564
[1515/5000][95/535][156341] Loss_D: -0.019774 Loss_G: 0.019956 Loss_D_real: -0.022792 Loss_D_fake -0.003018
[1515/5000][100/535][156342] Loss_D: -0.019144 Loss_G: 0.023495 Loss_D_real: -0.020901 Loss_D_fake -0.001757
[1515/5000][105/535][156343] Loss_D: -0.018671 Loss_G: 0.008329 Loss_D_real: -0.020916 Loss_D_fake -0.002245
[1515/5000][110/535][156344] Loss_D: -0.018764 Loss_G: 0.011385 Loss_D_real: -0.025353 Loss_D_fake -0.006589
[1515/5000][115/535][156345] Loss_D: -0.019593 Loss_G: -0.007976 Loss_D_real: -0.004653 Loss_D_fake 0.014940
[1515/5000][120/535][156346] Loss_D: -0.019832 Loss_G: 0.005382 Loss_D_real: -0.008510 Loss_D_fake 0.011322
[1515/5000][125/535][156347] Loss_D: -0.019578 Loss_G: -0.003969 Loss_D_real: -0.007227 Loss_D_fake 0.012351
[1515/5000][130/535][156348] Loss_D: -0.019750 Loss_G: 0.010627 Loss_D_real: -0.028012 Loss_D_fake -0.008262
[1515/5000][135/535][156349] Loss_D: -0.020196 Loss_G: 0.008048 Loss_D_real: -0.011062 Loss_D_fake 0.009134
[1515/5000][140/535][156350] Loss_D: -0.019345 Loss_G: 0.015211 Loss_D_real: -0.018412 Loss_D_fake 0.000933
[1515/5000][145/535][156351] Loss_D: -0.021474 Loss_G: -0.002087 Loss_D_real: -0.008933 Loss_D_fake 0.012541
[1515/5000][150/535][156352] Loss_D: -0.021125 Loss_G: 0.009761 Loss_D_real: -0.032003 Loss_D_fake -0.010877
[1515/5000][155/535][156353] Loss_D: -0.020023 Loss_G: 0.007461 Loss_D_real: -0.008423 Loss_D_fake 0.011599
[1515/5000][160/535][156354] Loss_D: -0.019114 Loss_G: 0.009252 Loss_D_real: -0.019700 Loss_D_fake -0.000586
[1515/5000][165/535][156355] Loss_D: -0.018668 Loss_G: 0.003371 Loss_D_real: -0.008286 Loss_D_fake 0.010381
[1515/5000][170/535][156356] Loss_D: -0.020008 Loss_G: 0.003753 Loss_D_real: -0.009381 Loss_D_fake 0.010628
[1515/5000][175/535][156357] Loss_D: -0.019881 Loss_G: 0.003443 Loss_D_real: -0.015873 Loss_D_fake 0.004008
[1515/5000][180/535][156358] Loss_D: -0.019154 Loss_G: 0.021504 Loss_D_real: -0.025683 Loss_D_fake -0.006530
[1515/5000][185/535][156359] Loss_D: -0.020606 Loss_G: 0.017243 Loss_D_real: -0.022339 Loss_D_fake -0.001733
[1515/5000][190/535][156360] Loss_D: -0.021052 Loss_G: -0.000204 Loss_D_real: -0.011024 Loss_D_fake 0.010028
[1515/5000][195/535][156361] Loss_D: -0.018049 Loss_G: 0.000339 Loss_D_real: -0.006170 Loss_D_fake 0.011879
[1515/5000][200/535][156362] Loss_D: -0.018722 Loss_G: 0.005132 Loss_D_real: -0.026706 Loss_D_fake -0.007984
[1515/5000][205/535][156363] Loss_D: -0.018243 Loss_G: 0.012574 Loss_D_real: -0.021441 Loss_D_fake -0.003198
[1515/5000][210/535][156364] Loss_D: -0.020939 Loss_G: 0.011351 Loss_D_real: -0.025350 Loss_D_fake -0.004412
[1515/5000][215/535][156365] Loss_D: -0.019880 Loss_G: 0.022063 Loss_D_real: -0.022280 Loss_D_fake -0.002400
[1515/5000][220/535][156366] Loss_D: -0.019656 Loss_G: -0.001552 Loss_D_real: -0.008385 Loss_D_fake 0.011271
[1515/5000][225/535][156367] Loss_D: -0.019675 Loss_G: -0.002386 Loss_D_real: -0.017560 Loss_D_fake 0.002116
[1515/5000][230/535][156368] Loss_D: -0.020403 Loss_G: 0.004509 Loss_D_real: -0.007744 Loss_D_fake 0.012658
[1515/5000][235/535][156369] Loss_D: -0.020047 Loss_G: -0.003034 Loss_D_real: -0.011693 Loss_D_fake 0.008354
[1515/5000][240/535][156370] Loss_D: -0.020546 Loss_G: 0.019761 Loss_D_real: -0.022016 Loss_D_fake -0.001470
[1515/5000][245/535][156371] Loss_D: -0.019775 Loss_G: 0.018147 Loss_D_real: -0.025541 Loss_D_fake -0.005765
[1515/5000][250/535][156372] Loss_D: -0.020666 Loss_G: 0.011051 Loss_D_real: -0.019822 Loss_D_fake 0.000844
[1515/5000][255/535][156373] Loss_D: -0.019805 Loss_G: 0.011436 Loss_D_real: -0.016775 Loss_D_fake 0.003030
[1515/5000][260/535][156374] Loss_D: -0.017917 Loss_G: 0.018351 Loss_D_real: -0.022902 Loss_D_fake -0.004985
[1515/5000][265/535][156375] Loss_D: -0.020683 Loss_G: 0.008551 Loss_D_real: -0.025578 Loss_D_fake -0.004895
[1515/5000][270/535][156376] Loss_D: -0.018021 Loss_G: 0.017767 Loss_D_real: -0.031096 Loss_D_fake -0.013075
[1515/5000][275/535][156377] Loss_D: -0.020686 Loss_G: 0.004417 Loss_D_real: -0.018096 Loss_D_fake 0.002589
[1515/5000][280/535][156378] Loss_D: -0.019984 Loss_G: 0.009184 Loss_D_real: -0.008414 Loss_D_fake 0.011570
[1515/5000][285/535][156379] Loss_D: -0.019314 Loss_G: -0.014993 Loss_D_real: 0.004528 Loss_D_fake 0.023841
[1515/5000][290/535][156380] Loss_D: -0.020124 Loss_G: 0.009766 Loss_D_real: -0.018861 Loss_D_fake 0.001263
[1515/5000][295/535][156381] Loss_D: -0.020069 Loss_G: 0.002383 Loss_D_real: 0.009698 Loss_D_fake 0.029767
[1515/5000][300/535][156382] Loss_D: -0.020241 Loss_G: 0.014892 Loss_D_real: -0.011079 Loss_D_fake 0.009162
[1515/5000][305/535][156383] Loss_D: -0.019546 Loss_G: 0.011522 Loss_D_real: -0.016841 Loss_D_fake 0.002706
[1515/5000][310/535][156384] Loss_D: -0.017446 Loss_G: 0.016387 Loss_D_real: -0.018980 Loss_D_fake -0.001534
[1515/5000][315/535][156385] Loss_D: -0.019846 Loss_G: -0.002026 Loss_D_real: -0.012421 Loss_D_fake 0.007425
[1515/5000][320/535][156386] Loss_D: -0.019972 Loss_G: 0.008202 Loss_D_real: -0.014735 Loss_D_fake 0.005236
[1515/5000][325/535][156387] Loss_D: -0.019919 Loss_G: -0.002126 Loss_D_real: -0.006350 Loss_D_fake 0.013569
[1515/5000][330/535][156388] Loss_D: -0.019538 Loss_G: -0.000971 Loss_D_real: -0.001811 Loss_D_fake 0.017727
[1515/5000][335/535][156389] Loss_D: -0.021369 Loss_G: 0.000936 Loss_D_real: -0.014527 Loss_D_fake 0.006842
[1515/5000][340/535][156390] Loss_D: -0.019861 Loss_G: 0.018517 Loss_D_real: -0.025433 Loss_D_fake -0.005572
[1515/5000][345/535][156391] Loss_D: -0.017883 Loss_G: -0.001197 Loss_D_real: 0.002767 Loss_D_fake 0.020650
[1515/5000][350/535][156392] Loss_D: -0.019378 Loss_G: 0.003667 Loss_D_real: -0.000163 Loss_D_fake 0.019215
[1515/5000][355/535][156393] Loss_D: -0.019087 Loss_G: -0.006567 Loss_D_real: -0.003311 Loss_D_fake 0.015776
[1515/5000][360/535][156394] Loss_D: -0.020146 Loss_G: 0.013690 Loss_D_real: -0.016455 Loss_D_fake 0.003691
[1515/5000][365/535][156395] Loss_D: -0.020323 Loss_G: 0.023768 Loss_D_real: -0.022958 Loss_D_fake -0.002636
[1515/5000][370/535][156396] Loss_D: -0.020474 Loss_G: -0.004285 Loss_D_real: -0.015366 Loss_D_fake 0.005108
[1515/5000][375/535][156397] Loss_D: -0.019826 Loss_G: -0.002424 Loss_D_real: -0.002243 Loss_D_fake 0.017583
[1515/5000][380/535][156398] Loss_D: -0.019964 Loss_G: 0.004764 Loss_D_real: -0.018386 Loss_D_fake 0.001578
[1515/5000][385/535][156399] Loss_D: -0.018898 Loss_G: 0.000847 Loss_D_real: -0.007583 Loss_D_fake 0.011316
[1515/5000][390/535][156400] Loss_D: -0.017951 Loss_G: 0.042585 Loss_D_real: -0.022354 Loss_D_fake -0.004403
[1515/5000][395/535][156401] Loss_D: -0.019742 Loss_G: 0.006172 Loss_D_real: -0.011059 Loss_D_fake 0.008683
[1515/5000][400/535][156402] Loss_D: -0.020215 Loss_G: 0.009049 Loss_D_real: -0.005372 Loss_D_fake 0.014843
[1515/5000][405/535][156403] Loss_D: -0.020792 Loss_G: 0.016598 Loss_D_real: -0.026005 Loss_D_fake -0.005213
[1515/5000][410/535][156404] Loss_D: -0.020555 Loss_G: 0.005403 Loss_D_real: -0.017476 Loss_D_fake 0.003079
[1515/5000][415/535][156405] Loss_D: -0.020873 Loss_G: -0.007191 Loss_D_real: -0.024123 Loss_D_fake -0.003250
[1515/5000][420/535][156406] Loss_D: -0.019779 Loss_G: 0.024971 Loss_D_real: -0.030559 Loss_D_fake -0.010780
[1515/5000][425/535][156407] Loss_D: -0.019892 Loss_G: 0.016332 Loss_D_real: -0.010605 Loss_D_fake 0.009288
[1515/5000][430/535][156408] Loss_D: -0.020906 Loss_G: 0.020319 Loss_D_real: -0.018205 Loss_D_fake 0.002702
[1515/5000][435/535][156409] Loss_D: -0.021528 Loss_G: -0.000566 Loss_D_real: -0.007060 Loss_D_fake 0.014468
[1515/5000][440/535][156410] Loss_D: -0.020037 Loss_G: 0.012237 Loss_D_real: -0.002700 Loss_D_fake 0.017336
[1515/5000][445/535][156411] Loss_D: -0.018210 Loss_G: -0.008714 Loss_D_real: -0.016716 Loss_D_fake 0.001494
[1515/5000][450/535][156412] Loss_D: -0.019765 Loss_G: 0.013665 Loss_D_real: -0.015489 Loss_D_fake 0.004276
[1515/5000][455/535][156413] Loss_D: -0.020776 Loss_G: 0.005508 Loss_D_real: -0.009729 Loss_D_fake 0.011047
[1515/5000][460/535][156414] Loss_D: -0.021550 Loss_G: 0.012998 Loss_D_real: -0.017184 Loss_D_fake 0.004366
[1515/5000][465/535][156415] Loss_D: -0.020361 Loss_G: -0.001654 Loss_D_real: -0.013381 Loss_D_fake 0.006980
[1515/5000][470/535][156416] Loss_D: -0.019832 Loss_G: 0.014089 Loss_D_real: -0.017682 Loss_D_fake 0.002150
[1515/5000][475/535][156417] Loss_D: -0.019299 Loss_G: 0.002457 Loss_D_real: -0.004260 Loss_D_fake 0.015039
[1515/5000][480/535][156418] Loss_D: -0.020691 Loss_G: 0.009272 Loss_D_real: -0.015255 Loss_D_fake 0.005436
[1515/5000][485/535][156419] Loss_D: -0.020939 Loss_G: -0.001865 Loss_D_real: -0.004412 Loss_D_fake 0.016526
[1515/5000][490/535][156420] Loss_D: -0.018266 Loss_G: 0.029019 Loss_D_real: -0.032235 Loss_D_fake -0.013969
[1515/5000][495/535][156421] Loss_D: -0.018693 Loss_G: 0.010183 Loss_D_real: -0.016416 Loss_D_fake 0.002277
[1515/5000][500/535][156422] Loss_D: -0.020310 Loss_G: 0.010672 Loss_D_real: -0.002282 Loss_D_fake 0.018028
[1515/5000][505/535][156423] Loss_D: -0.020092 Loss_G: -0.003257 Loss_D_real: -0.022283 Loss_D_fake -0.002191
[1515/5000][510/535][156424] Loss_D: -0.019874 Loss_G: 0.000524 Loss_D_real: -0.024951 Loss_D_fake -0.005077
[1515/5000][515/535][156425] Loss_D: -0.020062 Loss_G: -0.013504 Loss_D_real: -0.003255 Loss_D_fake 0.016807
[1515/5000][520/535][156426] Loss_D: -0.019787 Loss_G: 0.015295 Loss_D_real: -0.013298 Loss_D_fake 0.006489
[1515/5000][525/535][156427] Loss_D: -0.019652 Loss_G: 0.000222 Loss_D_real: -0.020334 Loss_D_fake -0.000682
[1515/5000][530/535][156428] Loss_D: -0.019495 Loss_G: -0.001667 Loss_D_real: -0.011454 Loss_D_fake 0.008041
[1515/5000][535/535][156429] Loss_D: -0.020667 Loss_G: 0.005335 Loss_D_real: -0.022728 Loss_D_fake -0.002061
[1516/5000][5/535][156430] Loss_D: -0.021085 Loss_G: -0.002517 Loss_D_real: -0.009102 Loss_D_fake 0.011983
[1516/5000][10/535][156431] Loss_D: -0.019209 Loss_G: 0.009913 Loss_D_real: -0.009400 Loss_D_fake 0.009809
[1516/5000][15/535][156432] Loss_D: -0.019533 Loss_G: 0.012441 Loss_D_real: -0.019163 Loss_D_fake 0.000370
[1516/5000][20/535][156433] Loss_D: -0.019333 Loss_G: -0.011349 Loss_D_real: -0.012082 Loss_D_fake 0.007251
[1516/5000][25/535][156434] Loss_D: -0.020481 Loss_G: 0.010947 Loss_D_real: -0.015094 Loss_D_fake 0.005386
[1516/5000][30/535][156435] Loss_D: -0.019253 Loss_G: -0.016079 Loss_D_real: -0.005039 Loss_D_fake 0.014215
[1516/5000][35/535][156436] Loss_D: -0.019132 Loss_G: 0.010029 Loss_D_real: -0.013374 Loss_D_fake 0.005758
[1516/5000][40/535][156437] Loss_D: -0.019464 Loss_G: 0.000286 Loss_D_real: 0.009668 Loss_D_fake 0.029132
[1516/5000][45/535][156438] Loss_D: -0.019437 Loss_G: 0.005534 Loss_D_real: -0.012044 Loss_D_fake 0.007393
[1516/5000][50/535][156439] Loss_D: -0.017991 Loss_G: 0.011143 Loss_D_real: -0.021127 Loss_D_fake -0.003136
[1516/5000][55/535][156440] Loss_D: -0.018800 Loss_G: 0.014706 Loss_D_real: -0.028692 Loss_D_fake -0.009892
[1516/5000][60/535][156441] Loss_D: -0.019362 Loss_G: 0.007797 Loss_D_real: -0.010581 Loss_D_fake 0.008781
[1516/5000][65/535][156442] Loss_D: -0.019679 Loss_G: -0.003853 Loss_D_real: -0.000746 Loss_D_fake 0.018933
[1516/5000][70/535][156443] Loss_D: -0.018091 Loss_G: 0.000513 Loss_D_real: -0.009555 Loss_D_fake 0.008536
[1516/5000][75/535][156444] Loss_D: -0.020693 Loss_G: -0.008819 Loss_D_real: -0.024453 Loss_D_fake -0.003761
[1516/5000][80/535][156445] Loss_D: -0.021030 Loss_G: 0.017635 Loss_D_real: -0.017086 Loss_D_fake 0.003944
[1516/5000][85/535][156446] Loss_D: -0.018652 Loss_G: 0.014134 Loss_D_real: -0.023457 Loss_D_fake -0.004805
[1516/5000][90/535][156447] Loss_D: -0.019492 Loss_G: 0.018521 Loss_D_real: -0.018566 Loss_D_fake 0.000926
[1516/5000][95/535][156448] Loss_D: -0.021108 Loss_G: -0.008296 Loss_D_real: -0.007763 Loss_D_fake 0.013346
[1516/5000][100/535][156449] Loss_D: -0.019950 Loss_G: -0.012125 Loss_D_real: -0.008306 Loss_D_fake 0.011644
[1516/5000][105/535][156450] Loss_D: -0.019020 Loss_G: 0.017020 Loss_D_real: -0.021183 Loss_D_fake -0.002162
[1516/5000][110/535][156451] Loss_D: -0.018478 Loss_G: 0.000132 Loss_D_real: -0.007689 Loss_D_fake 0.010789
[1516/5000][115/535][156452] Loss_D: -0.020024 Loss_G: 0.006979 Loss_D_real: -0.013561 Loss_D_fake 0.006463
[1516/5000][120/535][156453] Loss_D: -0.018832 Loss_G: 0.000421 Loss_D_real: -0.000650 Loss_D_fake 0.018181
[1516/5000][125/535][156454] Loss_D: -0.019443 Loss_G: 0.017894 Loss_D_real: -0.015208 Loss_D_fake 0.004234
[1516/5000][130/535][156455] Loss_D: -0.020036 Loss_G: -0.001000 Loss_D_real: -0.007354 Loss_D_fake 0.012682
[1516/5000][135/535][156456] Loss_D: -0.020416 Loss_G: 0.004840 Loss_D_real: -0.011922 Loss_D_fake 0.008494
[1516/5000][140/535][156457] Loss_D: -0.019019 Loss_G: -0.013744 Loss_D_real: 0.002068 Loss_D_fake 0.021088
[1516/5000][145/535][156458] Loss_D: -0.019393 Loss_G: 0.022867 Loss_D_real: -0.017724 Loss_D_fake 0.001670
[1516/5000][150/535][156459] Loss_D: -0.019644 Loss_G: 0.010167 Loss_D_real: -0.003863 Loss_D_fake 0.015781
[1516/5000][155/535][156460] Loss_D: -0.021579 Loss_G: 0.014840 Loss_D_real: -0.013981 Loss_D_fake 0.007599
[1516/5000][160/535][156461] Loss_D: -0.020589 Loss_G: 0.012525 Loss_D_real: -0.017090 Loss_D_fake 0.003499
[1516/5000][165/535][156462] Loss_D: -0.020060 Loss_G: 0.012638 Loss_D_real: -0.000090 Loss_D_fake 0.019970
[1516/5000][170/535][156463] Loss_D: -0.019885 Loss_G: 0.000323 Loss_D_real: -0.020905 Loss_D_fake -0.001021
[1516/5000][175/535][156464] Loss_D: -0.020613 Loss_G: -0.009332 Loss_D_real: -0.008743 Loss_D_fake 0.011870
[1516/5000][180/535][156465] Loss_D: -0.019654 Loss_G: -0.009068 Loss_D_real: -0.004784 Loss_D_fake 0.014870
[1516/5000][185/535][156466] Loss_D: -0.019311 Loss_G: 0.011508 Loss_D_real: -0.031688 Loss_D_fake -0.012378
[1516/5000][190/535][156467] Loss_D: -0.020805 Loss_G: 0.007061 Loss_D_real: -0.012062 Loss_D_fake 0.008742
[1516/5000][195/535][156468] Loss_D: -0.019171 Loss_G: 0.006469 Loss_D_real: -0.016181 Loss_D_fake 0.002990
[1516/5000][200/535][156469] Loss_D: -0.019080 Loss_G: -0.006318 Loss_D_real: -0.006298 Loss_D_fake 0.012783
[1516/5000][205/535][156470] Loss_D: -0.019836 Loss_G: 0.012894 Loss_D_real: -0.003225 Loss_D_fake 0.016612
[1516/5000][210/535][156471] Loss_D: -0.020011 Loss_G: 0.005163 Loss_D_real: -0.017759 Loss_D_fake 0.002251
[1516/5000][215/535][156472] Loss_D: -0.021208 Loss_G: -0.001470 Loss_D_real: -0.018592 Loss_D_fake 0.002616
[1516/5000][220/535][156473] Loss_D: -0.020593 Loss_G: -0.003072 Loss_D_real: -0.003535 Loss_D_fake 0.017057
[1516/5000][225/535][156474] Loss_D: -0.019707 Loss_G: -0.009158 Loss_D_real: -0.002962 Loss_D_fake 0.016744
[1516/5000][230/535][156475] Loss_D: -0.018856 Loss_G: 0.023596 Loss_D_real: -0.028039 Loss_D_fake -0.009183
[1516/5000][235/535][156476] Loss_D: -0.020240 Loss_G: -0.002937 Loss_D_real: -0.012513 Loss_D_fake 0.007727
[1516/5000][240/535][156477] Loss_D: -0.019304 Loss_G: 0.006063 Loss_D_real: -0.005294 Loss_D_fake 0.014010
[1516/5000][245/535][156478] Loss_D: -0.019907 Loss_G: 0.015453 Loss_D_real: -0.012303 Loss_D_fake 0.007604
[1516/5000][250/535][156479] Loss_D: -0.019483 Loss_G: -0.012507 Loss_D_real: -0.009162 Loss_D_fake 0.010321
[1516/5000][255/535][156480] Loss_D: -0.020157 Loss_G: -0.007902 Loss_D_real: -0.019360 Loss_D_fake 0.000797
[1516/5000][260/535][156481] Loss_D: -0.019230 Loss_G: -0.009286 Loss_D_real: 0.012835 Loss_D_fake 0.032066
[1516/5000][265/535][156482] Loss_D: -0.018430 Loss_G: 0.005867 Loss_D_real: -0.019407 Loss_D_fake -0.000977
[1516/5000][270/535][156483] Loss_D: -0.019312 Loss_G: 0.015870 Loss_D_real: -0.018233 Loss_D_fake 0.001079
[1516/5000][275/535][156484] Loss_D: -0.019798 Loss_G: 0.006688 Loss_D_real: -0.021156 Loss_D_fake -0.001358
[1516/5000][280/535][156485] Loss_D: -0.019940 Loss_G: 0.006730 Loss_D_real: -0.013426 Loss_D_fake 0.006514
[1516/5000][285/535][156486] Loss_D: -0.019746 Loss_G: 0.024005 Loss_D_real: -0.015996 Loss_D_fake 0.003750
[1516/5000][290/535][156487] Loss_D: -0.019268 Loss_G: -0.010356 Loss_D_real: -0.005457 Loss_D_fake 0.013811
[1516/5000][295/535][156488] Loss_D: -0.020040 Loss_G: 0.012864 Loss_D_real: -0.030841 Loss_D_fake -0.010801
[1516/5000][300/535][156489] Loss_D: -0.019018 Loss_G: 0.021266 Loss_D_real: -0.023386 Loss_D_fake -0.004368
[1516/5000][305/535][156490] Loss_D: -0.020679 Loss_G: 0.006754 Loss_D_real: -0.008029 Loss_D_fake 0.012650
[1516/5000][310/535][156491] Loss_D: -0.020736 Loss_G: -0.006341 Loss_D_real: -0.020626 Loss_D_fake 0.000110
[1516/5000][315/535][156492] Loss_D: -0.019383 Loss_G: 0.002357 Loss_D_real: -0.001502 Loss_D_fake 0.017881
[1516/5000][320/535][156493] Loss_D: -0.020870 Loss_G: 0.014459 Loss_D_real: -0.010576 Loss_D_fake 0.010294
[1516/5000][325/535][156494] Loss_D: -0.019531 Loss_G: 0.007740 Loss_D_real: -0.003373 Loss_D_fake 0.016158
[1516/5000][330/535][156495] Loss_D: -0.019786 Loss_G: 0.019460 Loss_D_real: -0.027807 Loss_D_fake -0.008021
[1516/5000][335/535][156496] Loss_D: -0.021219 Loss_G: -0.008028 Loss_D_real: 0.005459 Loss_D_fake 0.026678
[1516/5000][340/535][156497] Loss_D: -0.019227 Loss_G: 0.015820 Loss_D_real: -0.018512 Loss_D_fake 0.000715
[1516/5000][345/535][156498] Loss_D: -0.019323 Loss_G: -0.012609 Loss_D_real: -0.010088 Loss_D_fake 0.009235
[1516/5000][350/535][156499] Loss_D: -0.018048 Loss_G: 0.008571 Loss_D_real: -0.018473 Loss_D_fake -0.000425
[1516/5000][355/535][156500] Loss_D: -0.021464 Loss_G: 0.011470 Loss_D_real: -0.025122 Loss_D_fake -0.003658
[1516/5000][455/535][156501] Loss_D: -0.024742 Loss_G: 0.030351 Loss_D_real: -0.028870 Loss_D_fake -0.004128
[1516/5000][460/535][156502] Loss_D: -0.017369 Loss_G: 0.003791 Loss_D_real: -0.001149 Loss_D_fake 0.016219
[1516/5000][465/535][156503] Loss_D: -0.018186 Loss_G: 0.010127 Loss_D_real: -0.022605 Loss_D_fake -0.004419
[1516/5000][470/535][156504] Loss_D: -0.018731 Loss_G: -0.003933 Loss_D_real: -0.005619 Loss_D_fake 0.013112
[1516/5000][475/535][156505] Loss_D: -0.018845 Loss_G: 0.005492 Loss_D_real: -0.008770 Loss_D_fake 0.010075
[1516/5000][480/535][156506] Loss_D: -0.018781 Loss_G: 0.001939 Loss_D_real: -0.012107 Loss_D_fake 0.006674
[1516/5000][485/535][156507] Loss_D: -0.018686 Loss_G: 0.008996 Loss_D_real: -0.025270 Loss_D_fake -0.006584
[1516/5000][490/535][156508] Loss_D: -0.020311 Loss_G: 0.006127 Loss_D_real: -0.015265 Loss_D_fake 0.005046
[1516/5000][495/535][156509] Loss_D: -0.018403 Loss_G: 0.018586 Loss_D_real: -0.026481 Loss_D_fake -0.008078
[1516/5000][500/535][156510] Loss_D: -0.021000 Loss_G: 0.003911 Loss_D_real: -0.015813 Loss_D_fake 0.005187
[1516/5000][505/535][156511] Loss_D: -0.018786 Loss_G: -0.008726 Loss_D_real: -0.000157 Loss_D_fake 0.018630
[1516/5000][510/535][156512] Loss_D: -0.021513 Loss_G: 0.030780 Loss_D_real: -0.019867 Loss_D_fake 0.001647
[1516/5000][515/535][156513] Loss_D: -0.018767 Loss_G: 0.007849 Loss_D_real: -0.009880 Loss_D_fake 0.008887
[1516/5000][520/535][156514] Loss_D: -0.019923 Loss_G: 0.004653 Loss_D_real: -0.011180 Loss_D_fake 0.008743
[1516/5000][525/535][156515] Loss_D: -0.019879 Loss_G: 0.000266 Loss_D_real: -0.018100 Loss_D_fake 0.001779
[1516/5000][530/535][156516] Loss_D: -0.018406 Loss_G: 0.013794 Loss_D_real: -0.029324 Loss_D_fake -0.010918
[1516/5000][535/535][156517] Loss_D: -0.019311 Loss_G: -0.003045 Loss_D_real: -0.016722 Loss_D_fake 0.002589
[1517/5000][5/535][156518] Loss_D: -0.018842 Loss_G: 0.000991 Loss_D_real: -0.008911 Loss_D_fake 0.009931
[1517/5000][10/535][156519] Loss_D: -0.021345 Loss_G: 0.017884 Loss_D_real: -0.018732 Loss_D_fake 0.002614
[1517/5000][15/535][156520] Loss_D: -0.020494 Loss_G: 0.001596 Loss_D_real: -0.007372 Loss_D_fake 0.013122
[1517/5000][20/535][156521] Loss_D: -0.019842 Loss_G: 0.003710 Loss_D_real: -0.022257 Loss_D_fake -0.002414
[1517/5000][25/535][156522] Loss_D: -0.020283 Loss_G: 0.025385 Loss_D_real: -0.011365 Loss_D_fake 0.008918
[1517/5000][30/535][156523] Loss_D: -0.017607 Loss_G: -0.014887 Loss_D_real: -0.008881 Loss_D_fake 0.008726
[1517/5000][35/535][156524] Loss_D: -0.019760 Loss_G: 0.013411 Loss_D_real: -0.017899 Loss_D_fake 0.001861
[1517/5000][40/535][156525] Loss_D: -0.018283 Loss_G: 0.028205 Loss_D_real: -0.037083 Loss_D_fake -0.018800
[1517/5000][45/535][156526] Loss_D: -0.020091 Loss_G: 0.008661 Loss_D_real: -0.017797 Loss_D_fake 0.002294
[1517/5000][50/535][156527] Loss_D: -0.019601 Loss_G: 0.000669 Loss_D_real: -0.016530 Loss_D_fake 0.003071
[1517/5000][55/535][156528] Loss_D: -0.019177 Loss_G: 0.024403 Loss_D_real: -0.009257 Loss_D_fake 0.009920
[1517/5000][60/535][156529] Loss_D: -0.021083 Loss_G: -0.009517 Loss_D_real: -0.013001 Loss_D_fake 0.008082
[1517/5000][65/535][156530] Loss_D: -0.018361 Loss_G: 0.015543 Loss_D_real: -0.021148 Loss_D_fake -0.002787
[1517/5000][70/535][156531] Loss_D: -0.019507 Loss_G: 0.010741 Loss_D_real: -0.017821 Loss_D_fake 0.001686
[1517/5000][75/535][156532] Loss_D: -0.019450 Loss_G: 0.015101 Loss_D_real: -0.011518 Loss_D_fake 0.007932
[1517/5000][80/535][156533] Loss_D: -0.019425 Loss_G: 0.023181 Loss_D_real: -0.027191 Loss_D_fake -0.007766
[1517/5000][85/535][156534] Loss_D: -0.020483 Loss_G: 0.012776 Loss_D_real: -0.009750 Loss_D_fake 0.010733
[1517/5000][90/535][156535] Loss_D: -0.020341 Loss_G: 0.011571 Loss_D_real: -0.030159 Loss_D_fake -0.009817
[1517/5000][95/535][156536] Loss_D: -0.019384 Loss_G: -0.003544 Loss_D_real: -0.013204 Loss_D_fake 0.006180
[1517/5000][100/535][156537] Loss_D: -0.019280 Loss_G: 0.017224 Loss_D_real: -0.020618 Loss_D_fake -0.001337
[1517/5000][105/535][156538] Loss_D: -0.019465 Loss_G: 0.003758 Loss_D_real: -0.027166 Loss_D_fake -0.007701
[1517/5000][110/535][156539] Loss_D: -0.021511 Loss_G: -0.000312 Loss_D_real: -0.016856 Loss_D_fake 0.004655
[1517/5000][115/535][156540] Loss_D: -0.020733 Loss_G: 0.003565 Loss_D_real: -0.016840 Loss_D_fake 0.003893
[1517/5000][120/535][156541] Loss_D: -0.019881 Loss_G: 0.017192 Loss_D_real: -0.009315 Loss_D_fake 0.010566
[1517/5000][125/535][156542] Loss_D: -0.019782 Loss_G: 0.002358 Loss_D_real: -0.006048 Loss_D_fake 0.013734
[1517/5000][130/535][156543] Loss_D: -0.020274 Loss_G: 0.002191 Loss_D_real: -0.014922 Loss_D_fake 0.005352
[1517/5000][135/535][156544] Loss_D: -0.021361 Loss_G: 0.013634 Loss_D_real: -0.007450 Loss_D_fake 0.013911
[1517/5000][140/535][156545] Loss_D: -0.019170 Loss_G: 0.003521 Loss_D_real: -0.015235 Loss_D_fake 0.003936
[1517/5000][145/535][156546] Loss_D: -0.021585 Loss_G: -0.004732 Loss_D_real: -0.016455 Loss_D_fake 0.005129
[1517/5000][150/535][156547] Loss_D: -0.018116 Loss_G: -0.004970 Loss_D_real: -0.005105 Loss_D_fake 0.013011
[1517/5000][155/535][156548] Loss_D: -0.018358 Loss_G: -0.000552 Loss_D_real: 0.000183 Loss_D_fake 0.018540
[1517/5000][160/535][156549] Loss_D: -0.018714 Loss_G: -0.012216 Loss_D_real: -0.010352 Loss_D_fake 0.008362
[1517/5000][165/535][156550] Loss_D: -0.021007 Loss_G: 0.015206 Loss_D_real: -0.014994 Loss_D_fake 0.006013
[1517/5000][170/535][156551] Loss_D: -0.021019 Loss_G: 0.014270 Loss_D_real: -0.006757 Loss_D_fake 0.014262
[1517/5000][175/535][156552] Loss_D: -0.019068 Loss_G: 0.010680 Loss_D_real: -0.032434 Loss_D_fake -0.013366
[1517/5000][180/535][156553] Loss_D: -0.019974 Loss_G: 0.015912 Loss_D_real: -0.036846 Loss_D_fake -0.016872
[1517/5000][185/535][156554] Loss_D: -0.019835 Loss_G: 0.004453 Loss_D_real: -0.007472 Loss_D_fake 0.012362
[1517/5000][190/535][156555] Loss_D: -0.019562 Loss_G: -0.005123 Loss_D_real: 0.001734 Loss_D_fake 0.021296
[1517/5000][195/535][156556] Loss_D: -0.018831 Loss_G: 0.011324 Loss_D_real: -0.031245 Loss_D_fake -0.012414
[1517/5000][200/535][156557] Loss_D: -0.020631 Loss_G: 0.012172 Loss_D_real: -0.018954 Loss_D_fake 0.001677
[1517/5000][205/535][156558] Loss_D: -0.020102 Loss_G: 0.010466 Loss_D_real: -0.021420 Loss_D_fake -0.001319
[1517/5000][210/535][156559] Loss_D: -0.020304 Loss_G: 0.008252 Loss_D_real: -0.019540 Loss_D_fake 0.000764
[1517/5000][215/535][156560] Loss_D: -0.020659 Loss_G: 0.023040 Loss_D_real: -0.016091 Loss_D_fake 0.004568
[1517/5000][220/535][156561] Loss_D: -0.019913 Loss_G: 0.011121 Loss_D_real: -0.013743 Loss_D_fake 0.006169
[1517/5000][225/535][156562] Loss_D: -0.020784 Loss_G: 0.002553 Loss_D_real: -0.013830 Loss_D_fake 0.006954
[1517/5000][230/535][156563] Loss_D: -0.019636 Loss_G: 0.022393 Loss_D_real: -0.024057 Loss_D_fake -0.004422
[1517/5000][235/535][156564] Loss_D: -0.019897 Loss_G: 0.022509 Loss_D_real: -0.029106 Loss_D_fake -0.009209
[1517/5000][240/535][156565] Loss_D: -0.020336 Loss_G: 0.030435 Loss_D_real: -0.029354 Loss_D_fake -0.009019
[1517/5000][245/535][156566] Loss_D: -0.020453 Loss_G: -0.006424 Loss_D_real: -0.001542 Loss_D_fake 0.018910
[1517/5000][250/535][156567] Loss_D: -0.019013 Loss_G: 0.017987 Loss_D_real: -0.026372 Loss_D_fake -0.007359
[1517/5000][255/535][156568] Loss_D: -0.020394 Loss_G: 0.000893 Loss_D_real: -0.007258 Loss_D_fake 0.013136
[1517/5000][260/535][156569] Loss_D: -0.020442 Loss_G: 0.005286 Loss_D_real: -0.015209 Loss_D_fake 0.005233
[1517/5000][265/535][156570] Loss_D: -0.018049 Loss_G: 0.002124 Loss_D_real: -0.013455 Loss_D_fake 0.004594
[1517/5000][270/535][156571] Loss_D: -0.017868 Loss_G: 0.010317 Loss_D_real: -0.019331 Loss_D_fake -0.001463
[1517/5000][275/535][156572] Loss_D: -0.020200 Loss_G: -0.002842 Loss_D_real: -0.014155 Loss_D_fake 0.006045
[1517/5000][280/535][156573] Loss_D: -0.019070 Loss_G: 0.015970 Loss_D_real: -0.020068 Loss_D_fake -0.000998
[1517/5000][285/535][156574] Loss_D: -0.019156 Loss_G: 0.013996 Loss_D_real: -0.023043 Loss_D_fake -0.003887
[1517/5000][290/535][156575] Loss_D: -0.019619 Loss_G: -0.005451 Loss_D_real: -0.002010 Loss_D_fake 0.017609
[1517/5000][295/535][156576] Loss_D: -0.018403 Loss_G: 0.018270 Loss_D_real: -0.027346 Loss_D_fake -0.008942
[1517/5000][300/535][156577] Loss_D: -0.019749 Loss_G: 0.017532 Loss_D_real: -0.015990 Loss_D_fake 0.003759
[1517/5000][305/535][156578] Loss_D: -0.020268 Loss_G: 0.009195 Loss_D_real: -0.013759 Loss_D_fake 0.006509
[1517/5000][310/535][156579] Loss_D: -0.020612 Loss_G: 0.004830 Loss_D_real: -0.017136 Loss_D_fake 0.003475
[1517/5000][315/535][156580] Loss_D: -0.018947 Loss_G: -0.000063 Loss_D_real: -0.016961 Loss_D_fake 0.001986
[1517/5000][320/535][156581] Loss_D: -0.021352 Loss_G: -0.001168 Loss_D_real: -0.014078 Loss_D_fake 0.007273
[1517/5000][325/535][156582] Loss_D: -0.020846 Loss_G: 0.010927 Loss_D_real: -0.015564 Loss_D_fake 0.005283
[1517/5000][330/535][156583] Loss_D: -0.020301 Loss_G: 0.014317 Loss_D_real: -0.015857 Loss_D_fake 0.004444
[1517/5000][335/535][156584] Loss_D: -0.020102 Loss_G: 0.013201 Loss_D_real: -0.027314 Loss_D_fake -0.007212
[1517/5000][340/535][156585] Loss_D: -0.018957 Loss_G: 0.009413 Loss_D_real: -0.025192 Loss_D_fake -0.006235
[1517/5000][345/535][156586] Loss_D: -0.020114 Loss_G: 0.007773 Loss_D_real: 0.001322 Loss_D_fake 0.021436
[1517/5000][350/535][156587] Loss_D: -0.020269 Loss_G: -0.003552 Loss_D_real: -0.013790 Loss_D_fake 0.006479
[1517/5000][355/535][156588] Loss_D: -0.019389 Loss_G: 0.015787 Loss_D_real: -0.031411 Loss_D_fake -0.012021
[1517/5000][360/535][156589] Loss_D: -0.019658 Loss_G: 0.018957 Loss_D_real: -0.026492 Loss_D_fake -0.006834
[1517/5000][365/535][156590] Loss_D: -0.018590 Loss_G: 0.001391 Loss_D_real: -0.017689 Loss_D_fake 0.000901
[1517/5000][370/535][156591] Loss_D: -0.020649 Loss_G: 0.016192 Loss_D_real: -0.025517 Loss_D_fake -0.004868
[1517/5000][375/535][156592] Loss_D: -0.020424 Loss_G: 0.019211 Loss_D_real: -0.014197 Loss_D_fake 0.006227
[1517/5000][380/535][156593] Loss_D: -0.019157 Loss_G: -0.007241 Loss_D_real: -0.003044 Loss_D_fake 0.016112
[1517/5000][385/535][156594] Loss_D: -0.018572 Loss_G: 0.001211 Loss_D_real: -0.010306 Loss_D_fake 0.008266
[1517/5000][390/535][156595] Loss_D: -0.020090 Loss_G: 0.012714 Loss_D_real: -0.031453 Loss_D_fake -0.011363
[1517/5000][395/535][156596] Loss_D: -0.019366 Loss_G: -0.007003 Loss_D_real: -0.008889 Loss_D_fake 0.010477
[1517/5000][400/535][156597] Loss_D: -0.019854 Loss_G: -0.002662 Loss_D_real: -0.030573 Loss_D_fake -0.010719
[1517/5000][405/535][156598] Loss_D: -0.020310 Loss_G: 0.012906 Loss_D_real: -0.016241 Loss_D_fake 0.004070
[1517/5000][410/535][156599] Loss_D: -0.019175 Loss_G: 0.007514 Loss_D_real: -0.020055 Loss_D_fake -0.000880
[1517/5000][415/535][156600] Loss_D: -0.019796 Loss_G: 0.028418 Loss_D_real: -0.021182 Loss_D_fake -0.001386
[1517/5000][420/535][156601] Loss_D: -0.019182 Loss_G: 0.006186 Loss_D_real: -0.009342 Loss_D_fake 0.009840
[1517/5000][425/535][156602] Loss_D: -0.019741 Loss_G: 0.018940 Loss_D_real: -0.023016 Loss_D_fake -0.003275
[1517/5000][430/535][156603] Loss_D: -0.019722 Loss_G: 0.011877 Loss_D_real: -0.034883 Loss_D_fake -0.015161
[1517/5000][435/535][156604] Loss_D: -0.022373 Loss_G: -0.000144 Loss_D_real: -0.014525 Loss_D_fake 0.007848
[1517/5000][440/535][156605] Loss_D: -0.019340 Loss_G: 0.024343 Loss_D_real: -0.022198 Loss_D_fake -0.002859
[1517/5000][445/535][156606] Loss_D: -0.019195 Loss_G: -0.018334 Loss_D_real: 0.005149 Loss_D_fake 0.024344
[1517/5000][450/535][156607] Loss_D: -0.016892 Loss_G: 0.027835 Loss_D_real: -0.029384 Loss_D_fake -0.012492
[1517/5000][455/535][156608] Loss_D: -0.019877 Loss_G: 0.015400 Loss_D_real: -0.018875 Loss_D_fake 0.001002
[1517/5000][460/535][156609] Loss_D: -0.018636 Loss_G: 0.007585 Loss_D_real: -0.014016 Loss_D_fake 0.004620
[1517/5000][465/535][156610] Loss_D: -0.018548 Loss_G: -0.003221 Loss_D_real: -0.016820 Loss_D_fake 0.001728
[1517/5000][470/535][156611] Loss_D: -0.019516 Loss_G: 0.012296 Loss_D_real: -0.016857 Loss_D_fake 0.002659
[1517/5000][475/535][156612] Loss_D: -0.018851 Loss_G: 0.007373 Loss_D_real: -0.010041 Loss_D_fake 0.008810
[1517/5000][480/535][156613] Loss_D: -0.018479 Loss_G: 0.004141 Loss_D_real: -0.011550 Loss_D_fake 0.006928
[1517/5000][485/535][156614] Loss_D: -0.019080 Loss_G: 0.007921 Loss_D_real: -0.024281 Loss_D_fake -0.005201
[1517/5000][490/535][156615] Loss_D: -0.020141 Loss_G: -0.003148 Loss_D_real: -0.001175 Loss_D_fake 0.018966
[1517/5000][495/535][156616] Loss_D: -0.019682 Loss_G: 0.006750 Loss_D_real: -0.013669 Loss_D_fake 0.006013
[1517/5000][500/535][156617] Loss_D: -0.019383 Loss_G: 0.008496 Loss_D_real: -0.007097 Loss_D_fake 0.012286
[1517/5000][505/535][156618] Loss_D: -0.019394 Loss_G: 0.001978 Loss_D_real: -0.022852 Loss_D_fake -0.003458
[1517/5000][510/535][156619] Loss_D: -0.019975 Loss_G: 0.026959 Loss_D_real: -0.035110 Loss_D_fake -0.015136
[1517/5000][515/535][156620] Loss_D: -0.019484 Loss_G: -0.014721 Loss_D_real: -0.012361 Loss_D_fake 0.007123
[1517/5000][520/535][156621] Loss_D: -0.020054 Loss_G: 0.001443 Loss_D_real: -0.009893 Loss_D_fake 0.010161
[1517/5000][525/535][156622] Loss_D: -0.020190 Loss_G: 0.004879 Loss_D_real: -0.008227 Loss_D_fake 0.011963
[1517/5000][530/535][156623] Loss_D: -0.020208 Loss_G: -0.002249 Loss_D_real: -0.012112 Loss_D_fake 0.008097
[1517/5000][535/535][156624] Loss_D: -0.020661 Loss_G: 0.011001 Loss_D_real: -0.032007 Loss_D_fake -0.011346
[1518/5000][5/535][156625] Loss_D: -0.019993 Loss_G: 0.007190 Loss_D_real: -0.010775 Loss_D_fake 0.009218
[1518/5000][10/535][156626] Loss_D: -0.020997 Loss_G: 0.016072 Loss_D_real: -0.021009 Loss_D_fake -0.000012
[1518/5000][15/535][156627] Loss_D: -0.019663 Loss_G: 0.020278 Loss_D_real: -0.026313 Loss_D_fake -0.006650
[1518/5000][20/535][156628] Loss_D: -0.021201 Loss_G: 0.000749 Loss_D_real: -0.021225 Loss_D_fake -0.000024
[1518/5000][25/535][156629] Loss_D: -0.020418 Loss_G: 0.018603 Loss_D_real: -0.028944 Loss_D_fake -0.008525
[1518/5000][30/535][156630] Loss_D: -0.019511 Loss_G: 0.003719 Loss_D_real: -0.024478 Loss_D_fake -0.004967
[1518/5000][35/535][156631] Loss_D: -0.020980 Loss_G: 0.013032 Loss_D_real: -0.010895 Loss_D_fake 0.010085
[1518/5000][40/535][156632] Loss_D: -0.020389 Loss_G: 0.013706 Loss_D_real: -0.006748 Loss_D_fake 0.013641
[1518/5000][45/535][156633] Loss_D: -0.019707 Loss_G: 0.000309 Loss_D_real: -0.014621 Loss_D_fake 0.005085
[1518/5000][50/535][156634] Loss_D: -0.019778 Loss_G: 0.013054 Loss_D_real: -0.019180 Loss_D_fake 0.000598
[1518/5000][55/535][156635] Loss_D: -0.020739 Loss_G: -0.005787 Loss_D_real: -0.010508 Loss_D_fake 0.010231
[1518/5000][60/535][156636] Loss_D: -0.019634 Loss_G: 0.003142 Loss_D_real: -0.014547 Loss_D_fake 0.005086
[1518/5000][65/535][156637] Loss_D: -0.019624 Loss_G: 0.012245 Loss_D_real: -0.020194 Loss_D_fake -0.000570
[1518/5000][70/535][156638] Loss_D: -0.020869 Loss_G: 0.024381 Loss_D_real: -0.017992 Loss_D_fake 0.002878
[1518/5000][75/535][156639] Loss_D: -0.021117 Loss_G: -0.002276 Loss_D_real: -0.003717 Loss_D_fake 0.017400
[1518/5000][80/535][156640] Loss_D: -0.021089 Loss_G: 0.010389 Loss_D_real: -0.019544 Loss_D_fake 0.001545
[1518/5000][85/535][156641] Loss_D: -0.020282 Loss_G: 0.006028 Loss_D_real: -0.011755 Loss_D_fake 0.008527
[1518/5000][90/535][156642] Loss_D: -0.019891 Loss_G: 0.008679 Loss_D_real: -0.014943 Loss_D_fake 0.004949
[1518/5000][95/535][156643] Loss_D: -0.020522 Loss_G: 0.019368 Loss_D_real: -0.032902 Loss_D_fake -0.012380
[1518/5000][100/535][156644] Loss_D: -0.021380 Loss_G: 0.016454 Loss_D_real: -0.022814 Loss_D_fake -0.001434
[1518/5000][105/535][156645] Loss_D: -0.020002 Loss_G: -0.014430 Loss_D_real: -0.000702 Loss_D_fake 0.019301
[1518/5000][110/535][156646] Loss_D: -0.018883 Loss_G: 0.011385 Loss_D_real: -0.023026 Loss_D_fake -0.004143
[1518/5000][115/535][156647] Loss_D: -0.019472 Loss_G: 0.013399 Loss_D_real: -0.026633 Loss_D_fake -0.007161
[1518/5000][120/535][156648] Loss_D: -0.019293 Loss_G: -0.012196 Loss_D_real: -0.006604 Loss_D_fake 0.012690
[1518/5000][125/535][156649] Loss_D: -0.019452 Loss_G: -0.002278 Loss_D_real: -0.012886 Loss_D_fake 0.006566
[1518/5000][130/535][156650] Loss_D: -0.019250 Loss_G: 0.011090 Loss_D_real: -0.020274 Loss_D_fake -0.001024
[1518/5000][135/535][156651] Loss_D: -0.020246 Loss_G: -0.007002 Loss_D_real: -0.003344 Loss_D_fake 0.016902
[1518/5000][140/535][156652] Loss_D: -0.019073 Loss_G: 0.000845 Loss_D_real: 0.002022 Loss_D_fake 0.021095
[1518/5000][145/535][156653] Loss_D: -0.019126 Loss_G: -0.001420 Loss_D_real: -0.013457 Loss_D_fake 0.005669
[1518/5000][150/535][156654] Loss_D: -0.018265 Loss_G: -0.001736 Loss_D_real: -0.013250 Loss_D_fake 0.005015
[1518/5000][155/535][156655] Loss_D: -0.019935 Loss_G: 0.017161 Loss_D_real: -0.006723 Loss_D_fake 0.013212
[1518/5000][160/535][156656] Loss_D: -0.019464 Loss_G: -0.001533 Loss_D_real: -0.033580 Loss_D_fake -0.014116
[1518/5000][165/535][156657] Loss_D: -0.019919 Loss_G: 0.018869 Loss_D_real: -0.028039 Loss_D_fake -0.008121
[1518/5000][170/535][156658] Loss_D: -0.019005 Loss_G: 0.009166 Loss_D_real: -0.025724 Loss_D_fake -0.006719
[1518/5000][175/535][156659] Loss_D: -0.020665 Loss_G: 0.004556 Loss_D_real: -0.011985 Loss_D_fake 0.008679
[1518/5000][180/535][156660] Loss_D: -0.019585 Loss_G: 0.009924 Loss_D_real: -0.015084 Loss_D_fake 0.004501
[1518/5000][185/535][156661] Loss_D: -0.019770 Loss_G: -0.001526 Loss_D_real: -0.014928 Loss_D_fake 0.004842
[1518/5000][190/535][156662] Loss_D: -0.021452 Loss_G: 0.015597 Loss_D_real: -0.013984 Loss_D_fake 0.007468
[1518/5000][195/535][156663] Loss_D: -0.019985 Loss_G: 0.018424 Loss_D_real: -0.020783 Loss_D_fake -0.000798
[1518/5000][200/535][156664] Loss_D: -0.019212 Loss_G: -0.010542 Loss_D_real: -0.005659 Loss_D_fake 0.013553
[1518/5000][205/535][156665] Loss_D: -0.019459 Loss_G: 0.011784 Loss_D_real: -0.022123 Loss_D_fake -0.002664
[1518/5000][210/535][156666] Loss_D: -0.020885 Loss_G: 0.017881 Loss_D_real: -0.006886 Loss_D_fake 0.013999
[1518/5000][215/535][156667] Loss_D: -0.021655 Loss_G: 0.005004 Loss_D_real: -0.007715 Loss_D_fake 0.013940
[1518/5000][220/535][156668] Loss_D: -0.020057 Loss_G: -0.003177 Loss_D_real: -0.006352 Loss_D_fake 0.013705
[1518/5000][225/535][156669] Loss_D: -0.019198 Loss_G: -0.013121 Loss_D_real: -0.001868 Loss_D_fake 0.017331
[1518/5000][230/535][156670] Loss_D: -0.018229 Loss_G: 0.016120 Loss_D_real: -0.026904 Loss_D_fake -0.008675
[1518/5000][235/535][156671] Loss_D: -0.019482 Loss_G: 0.018507 Loss_D_real: -0.024309 Loss_D_fake -0.004827
[1518/5000][240/535][156672] Loss_D: -0.021161 Loss_G: 0.004323 Loss_D_real: -0.031267 Loss_D_fake -0.010106
[1518/5000][245/535][156673] Loss_D: -0.019172 Loss_G: 0.021112 Loss_D_real: -0.015360 Loss_D_fake 0.003812
[1518/5000][250/535][156674] Loss_D: -0.020204 Loss_G: 0.001498 Loss_D_real: 0.006835 Loss_D_fake 0.027039
[1518/5000][255/535][156675] Loss_D: -0.019134 Loss_G: 0.025060 Loss_D_real: -0.024745 Loss_D_fake -0.005611
[1518/5000][260/535][156676] Loss_D: -0.019233 Loss_G: -0.016968 Loss_D_real: 0.012384 Loss_D_fake 0.031617
[1518/5000][265/535][156677] Loss_D: -0.019196 Loss_G: -0.001841 Loss_D_real: -0.011692 Loss_D_fake 0.007504
[1518/5000][270/535][156678] Loss_D: -0.018747 Loss_G: -0.005868 Loss_D_real: -0.003273 Loss_D_fake 0.015475
[1518/5000][275/535][156679] Loss_D: -0.020043 Loss_G: 0.009000 Loss_D_real: -0.007784 Loss_D_fake 0.012258
[1518/5000][280/535][156680] Loss_D: -0.020253 Loss_G: 0.000341 Loss_D_real: -0.017154 Loss_D_fake 0.003099
[1518/5000][285/535][156681] Loss_D: -0.018834 Loss_G: -0.004290 Loss_D_real: -0.021039 Loss_D_fake -0.002205
[1518/5000][290/535][156682] Loss_D: -0.019611 Loss_G: 0.005643 Loss_D_real: -0.017392 Loss_D_fake 0.002219
[1518/5000][295/535][156683] Loss_D: -0.019948 Loss_G: 0.019985 Loss_D_real: -0.021376 Loss_D_fake -0.001429
[1518/5000][300/535][156684] Loss_D: -0.018865 Loss_G: 0.006870 Loss_D_real: -0.014429 Loss_D_fake 0.004436
[1518/5000][305/535][156685] Loss_D: -0.019724 Loss_G: 0.014648 Loss_D_real: -0.027630 Loss_D_fake -0.007906
[1518/5000][310/535][156686] Loss_D: -0.017843 Loss_G: 0.013223 Loss_D_real: -0.018270 Loss_D_fake -0.000428
[1518/5000][315/535][156687] Loss_D: -0.020789 Loss_G: 0.009255 Loss_D_real: -0.011732 Loss_D_fake 0.009057
[1518/5000][320/535][156688] Loss_D: -0.020777 Loss_G: -0.001073 Loss_D_real: -0.001066 Loss_D_fake 0.019711
[1518/5000][325/535][156689] Loss_D: -0.021760 Loss_G: 0.014780 Loss_D_real: -0.025226 Loss_D_fake -0.003466
[1518/5000][330/535][156690] Loss_D: -0.020096 Loss_G: 0.007951 Loss_D_real: -0.018332 Loss_D_fake 0.001764
[1518/5000][335/535][156691] Loss_D: -0.019396 Loss_G: 0.019517 Loss_D_real: -0.026437 Loss_D_fake -0.007042
[1518/5000][340/535][156692] Loss_D: -0.019697 Loss_G: -0.000378 Loss_D_real: -0.015386 Loss_D_fake 0.004311
[1518/5000][345/535][156693] Loss_D: -0.019402 Loss_G: 0.017659 Loss_D_real: -0.027896 Loss_D_fake -0.008495
[1518/5000][350/535][156694] Loss_D: -0.020126 Loss_G: -0.016413 Loss_D_real: -0.001820 Loss_D_fake 0.018306
[1518/5000][355/535][156695] Loss_D: -0.019894 Loss_G: 0.013013 Loss_D_real: -0.014734 Loss_D_fake 0.005159
[1518/5000][360/535][156696] Loss_D: -0.018875 Loss_G: -0.006606 Loss_D_real: -0.000797 Loss_D_fake 0.018078
[1518/5000][365/535][156697] Loss_D: -0.020252 Loss_G: 0.004757 Loss_D_real: -0.014659 Loss_D_fake 0.005593
[1518/5000][370/535][156698] Loss_D: -0.018650 Loss_G: 0.024927 Loss_D_real: -0.024792 Loss_D_fake -0.006142
[1518/5000][375/535][156699] Loss_D: -0.019649 Loss_G: 0.018972 Loss_D_real: -0.022004 Loss_D_fake -0.002355
[1518/5000][380/535][156700] Loss_D: -0.019879 Loss_G: 0.000039 Loss_D_real: -0.016976 Loss_D_fake 0.002903
[1518/5000][385/535][156701] Loss_D: -0.019748 Loss_G: 0.024967 Loss_D_real: -0.018220 Loss_D_fake 0.001528
[1518/5000][390/535][156702] Loss_D: -0.019437 Loss_G: 0.010381 Loss_D_real: -0.020791 Loss_D_fake -0.001354
[1518/5000][395/535][156703] Loss_D: -0.020535 Loss_G: 0.006116 Loss_D_real: -0.019981 Loss_D_fake 0.000554
[1518/5000][400/535][156704] Loss_D: -0.020292 Loss_G: 0.010550 Loss_D_real: -0.018625 Loss_D_fake 0.001667
[1518/5000][405/535][156705] Loss_D: -0.020321 Loss_G: 0.023351 Loss_D_real: -0.031578 Loss_D_fake -0.011257
[1518/5000][410/535][156706] Loss_D: -0.019168 Loss_G: 0.019508 Loss_D_real: -0.030052 Loss_D_fake -0.010883
[1518/5000][415/535][156707] Loss_D: -0.019766 Loss_G: 0.015270 Loss_D_real: -0.025191 Loss_D_fake -0.005425
[1518/5000][420/535][156708] Loss_D: -0.021464 Loss_G: 0.004147 Loss_D_real: -0.004077 Loss_D_fake 0.017388
[1518/5000][425/535][156709] Loss_D: -0.019491 Loss_G: -0.011360 Loss_D_real: 0.006586 Loss_D_fake 0.026077
[1518/5000][430/535][156710] Loss_D: -0.018508 Loss_G: 0.028366 Loss_D_real: -0.023701 Loss_D_fake -0.005192
[1518/5000][435/535][156711] Loss_D: -0.020141 Loss_G: -0.002388 Loss_D_real: -0.009950 Loss_D_fake 0.010191
[1518/5000][440/535][156712] Loss_D: -0.016254 Loss_G: 0.019301 Loss_D_real: -0.034293 Loss_D_fake -0.018039
[1518/5000][445/535][156713] Loss_D: -0.019052 Loss_G: 0.012964 Loss_D_real: -0.009542 Loss_D_fake 0.009511
[1518/5000][450/535][156714] Loss_D: -0.018982 Loss_G: -0.003314 Loss_D_real: -0.008739 Loss_D_fake 0.010243
[1518/5000][455/535][156715] Loss_D: -0.019038 Loss_G: 0.020470 Loss_D_real: -0.013785 Loss_D_fake 0.005253
[1518/5000][460/535][156716] Loss_D: -0.019648 Loss_G: 0.005690 Loss_D_real: -0.014560 Loss_D_fake 0.005087
[1518/5000][465/535][156717] Loss_D: -0.019765 Loss_G: 0.006155 Loss_D_real: -0.018844 Loss_D_fake 0.000921
[1518/5000][470/535][156718] Loss_D: -0.021585 Loss_G: -0.014216 Loss_D_real: -0.017459 Loss_D_fake 0.004126
[1518/5000][475/535][156719] Loss_D: -0.019188 Loss_G: 0.003389 Loss_D_real: -0.008542 Loss_D_fake 0.010646
[1518/5000][480/535][156720] Loss_D: -0.019218 Loss_G: 0.009671 Loss_D_real: -0.013836 Loss_D_fake 0.005382
[1518/5000][485/535][156721] Loss_D: -0.020600 Loss_G: 0.009695 Loss_D_real: -0.019287 Loss_D_fake 0.001313
[1518/5000][490/535][156722] Loss_D: -0.020541 Loss_G: 0.016111 Loss_D_real: -0.011509 Loss_D_fake 0.009031
[1518/5000][495/535][156723] Loss_D: -0.020541 Loss_G: 0.022109 Loss_D_real: -0.011600 Loss_D_fake 0.008940
[1518/5000][500/535][156724] Loss_D: -0.018941 Loss_G: 0.010441 Loss_D_real: -0.021507 Loss_D_fake -0.002565
[1518/5000][505/535][156725] Loss_D: -0.020718 Loss_G: 0.008787 Loss_D_real: -0.017972 Loss_D_fake 0.002746
[1518/5000][510/535][156726] Loss_D: -0.020139 Loss_G: 0.006180 Loss_D_real: -0.011441 Loss_D_fake 0.008698
[1518/5000][515/535][156727] Loss_D: -0.019719 Loss_G: -0.001851 Loss_D_real: -0.024505 Loss_D_fake -0.004787
[1518/5000][520/535][156728] Loss_D: -0.019773 Loss_G: 0.005137 Loss_D_real: -0.020674 Loss_D_fake -0.000901
[1518/5000][525/535][156729] Loss_D: -0.018324 Loss_G: -0.014701 Loss_D_real: 0.008641 Loss_D_fake 0.026965
[1518/5000][530/535][156730] Loss_D: -0.018387 Loss_G: 0.018707 Loss_D_real: -0.026767 Loss_D_fake -0.008381
[1518/5000][535/535][156731] Loss_D: -0.021932 Loss_G: 0.007084 Loss_D_real: -0.012007 Loss_D_fake 0.009925
[1519/5000][5/535][156732] Loss_D: -0.020645 Loss_G: 0.011378 Loss_D_real: -0.024870 Loss_D_fake -0.004225
[1519/5000][10/535][156733] Loss_D: -0.019277 Loss_G: 0.014489 Loss_D_real: -0.019908 Loss_D_fake -0.000631
[1519/5000][15/535][156734] Loss_D: -0.020349 Loss_G: -0.002077 Loss_D_real: 0.000881 Loss_D_fake 0.021230
[1519/5000][20/535][156735] Loss_D: -0.020633 Loss_G: 0.004454 Loss_D_real: -0.006961 Loss_D_fake 0.013673
[1519/5000][25/535][156736] Loss_D: -0.020149 Loss_G: 0.010709 Loss_D_real: -0.006280 Loss_D_fake 0.013869
[1519/5000][30/535][156737] Loss_D: -0.020149 Loss_G: 0.018046 Loss_D_real: -0.016499 Loss_D_fake 0.003650
[1519/5000][35/535][156738] Loss_D: -0.019184 Loss_G: 0.012326 Loss_D_real: -0.032742 Loss_D_fake -0.013558
[1519/5000][40/535][156739] Loss_D: -0.020357 Loss_G: 0.011961 Loss_D_real: -0.027053 Loss_D_fake -0.006696
[1519/5000][45/535][156740] Loss_D: -0.019818 Loss_G: 0.022748 Loss_D_real: -0.022576 Loss_D_fake -0.002757
[1519/5000][50/535][156741] Loss_D: -0.019212 Loss_G: -0.000591 Loss_D_real: -0.018912 Loss_D_fake 0.000300
[1519/5000][55/535][156742] Loss_D: -0.021008 Loss_G: 0.017794 Loss_D_real: -0.023594 Loss_D_fake -0.002586
[1519/5000][60/535][156743] Loss_D: -0.018839 Loss_G: -0.003836 Loss_D_real: -0.017441 Loss_D_fake 0.001398
[1519/5000][65/535][156744] Loss_D: -0.020669 Loss_G: 0.021926 Loss_D_real: -0.027571 Loss_D_fake -0.006901
[1519/5000][70/535][156745] Loss_D: -0.019749 Loss_G: 0.003054 Loss_D_real: -0.013726 Loss_D_fake 0.006023
[1519/5000][75/535][156746] Loss_D: -0.019278 Loss_G: 0.014960 Loss_D_real: -0.014084 Loss_D_fake 0.005194
[1519/5000][80/535][156747] Loss_D: -0.019879 Loss_G: -0.000245 Loss_D_real: -0.017428 Loss_D_fake 0.002451
[1519/5000][85/535][156748] Loss_D: -0.018637 Loss_G: 0.024143 Loss_D_real: -0.037187 Loss_D_fake -0.018550
[1519/5000][90/535][156749] Loss_D: -0.019934 Loss_G: 0.023123 Loss_D_real: -0.023142 Loss_D_fake -0.003208
[1519/5000][95/535][156750] Loss_D: -0.020020 Loss_G: 0.009350 Loss_D_real: -0.021408 Loss_D_fake -0.001388
[1519/5000][100/535][156751] Loss_D: -0.019115 Loss_G: -0.025702 Loss_D_real: 0.000939 Loss_D_fake 0.020054
[1519/5000][105/535][156752] Loss_D: -0.019733 Loss_G: -0.004935 Loss_D_real: -0.012210 Loss_D_fake 0.007523
[1519/5000][110/535][156753] Loss_D: -0.018794 Loss_G: 0.004930 Loss_D_real: -0.012841 Loss_D_fake 0.005954
[1519/5000][115/535][156754] Loss_D: -0.020687 Loss_G: -0.003169 Loss_D_real: 0.003008 Loss_D_fake 0.023695
[1519/5000][120/535][156755] Loss_D: -0.020064 Loss_G: 0.004890 Loss_D_real: -0.013635 Loss_D_fake 0.006430
[1519/5000][125/535][156756] Loss_D: -0.019309 Loss_G: 0.005951 Loss_D_real: -0.015395 Loss_D_fake 0.003914
[1519/5000][130/535][156757] Loss_D: -0.020489 Loss_G: 0.011000 Loss_D_real: -0.016373 Loss_D_fake 0.004116
[1519/5000][135/535][156758] Loss_D: -0.018570 Loss_G: -0.006760 Loss_D_real: -0.009134 Loss_D_fake 0.009436
[1519/5000][140/535][156759] Loss_D: -0.018472 Loss_G: 0.000748 Loss_D_real: -0.011381 Loss_D_fake 0.007091
[1519/5000][145/535][156760] Loss_D: -0.017618 Loss_G: 0.028129 Loss_D_real: -0.020153 Loss_D_fake -0.002535
[1519/5000][150/535][156761] Loss_D: -0.019413 Loss_G: 0.014995 Loss_D_real: -0.025133 Loss_D_fake -0.005720
[1519/5000][155/535][156762] Loss_D: -0.019900 Loss_G: 0.006465 Loss_D_real: -0.011750 Loss_D_fake 0.008150
[1519/5000][160/535][156763] Loss_D: -0.018682 Loss_G: -0.005814 Loss_D_real: -0.009189 Loss_D_fake 0.009493
[1519/5000][165/535][156764] Loss_D: -0.019541 Loss_G: 0.012246 Loss_D_real: -0.020036 Loss_D_fake -0.000495
[1519/5000][170/535][156765] Loss_D: -0.019671 Loss_G: 0.002822 Loss_D_real: -0.019240 Loss_D_fake 0.000431
[1519/5000][175/535][156766] Loss_D: -0.019998 Loss_G: 0.005337 Loss_D_real: -0.030761 Loss_D_fake -0.010764
[1519/5000][180/535][156767] Loss_D: -0.020337 Loss_G: -0.007266 Loss_D_real: -0.003338 Loss_D_fake 0.016999
[1519/5000][185/535][156768] Loss_D: -0.020567 Loss_G: 0.008034 Loss_D_real: -0.014555 Loss_D_fake 0.006012
[1519/5000][190/535][156769] Loss_D: -0.018309 Loss_G: -0.011245 Loss_D_real: -0.004742 Loss_D_fake 0.013567
[1519/5000][195/535][156770] Loss_D: -0.018576 Loss_G: 0.029366 Loss_D_real: -0.033732 Loss_D_fake -0.015156
[1519/5000][200/535][156771] Loss_D: -0.019977 Loss_G: 0.012112 Loss_D_real: -0.009199 Loss_D_fake 0.010777
[1519/5000][205/535][156772] Loss_D: -0.019617 Loss_G: 0.008750 Loss_D_real: -0.001684 Loss_D_fake 0.017933
[1519/5000][210/535][156773] Loss_D: -0.021409 Loss_G: 0.005695 Loss_D_real: -0.000884 Loss_D_fake 0.020525
[1519/5000][215/535][156774] Loss_D: -0.019948 Loss_G: -0.007201 Loss_D_real: -0.002248 Loss_D_fake 0.017700
[1519/5000][220/535][156775] Loss_D: -0.019151 Loss_G: 0.010462 Loss_D_real: -0.022278 Loss_D_fake -0.003126
[1519/5000][225/535][156776] Loss_D: -0.018590 Loss_G: 0.032824 Loss_D_real: -0.032325 Loss_D_fake -0.013735
[1519/5000][230/535][156777] Loss_D: -0.020215 Loss_G: 0.015576 Loss_D_real: -0.015070 Loss_D_fake 0.005145
[1519/5000][235/535][156778] Loss_D: -0.019445 Loss_G: 0.010554 Loss_D_real: -0.022813 Loss_D_fake -0.003369
[1519/5000][240/535][156779] Loss_D: -0.020851 Loss_G: -0.009332 Loss_D_real: -0.014844 Loss_D_fake 0.006007
[1519/5000][245/535][156780] Loss_D: -0.018478 Loss_G: 0.015138 Loss_D_real: -0.013624 Loss_D_fake 0.004854
[1519/5000][250/535][156781] Loss_D: -0.018974 Loss_G: -0.000598 Loss_D_real: -0.017098 Loss_D_fake 0.001876
[1519/5000][255/535][156782] Loss_D: -0.019014 Loss_G: -0.001461 Loss_D_real: -0.007194 Loss_D_fake 0.011820
[1519/5000][260/535][156783] Loss_D: -0.019386 Loss_G: -0.004272 Loss_D_real: -0.016520 Loss_D_fake 0.002867
[1519/5000][265/535][156784] Loss_D: -0.018547 Loss_G: 0.012523 Loss_D_real: -0.017363 Loss_D_fake 0.001184
[1519/5000][270/535][156785] Loss_D: -0.019709 Loss_G: 0.025424 Loss_D_real: -0.020030 Loss_D_fake -0.000321
[1519/5000][275/535][156786] Loss_D: -0.018533 Loss_G: 0.034763 Loss_D_real: -0.027609 Loss_D_fake -0.009076
[1519/5000][280/535][156787] Loss_D: -0.020534 Loss_G: 0.005183 Loss_D_real: -0.017071 Loss_D_fake 0.003464
[1519/5000][285/535][156788] Loss_D: -0.018864 Loss_G: 0.015745 Loss_D_real: -0.026468 Loss_D_fake -0.007605
[1519/5000][290/535][156789] Loss_D: -0.018993 Loss_G: 0.001880 Loss_D_real: -0.007649 Loss_D_fake 0.011344
[1519/5000][295/535][156790] Loss_D: -0.019459 Loss_G: 0.007017 Loss_D_real: -0.022420 Loss_D_fake -0.002961
[1519/5000][300/535][156791] Loss_D: -0.019322 Loss_G: -0.004060 Loss_D_real: -0.006224 Loss_D_fake 0.013098
[1519/5000][305/535][156792] Loss_D: -0.018800 Loss_G: 0.019839 Loss_D_real: -0.021948 Loss_D_fake -0.003148
[1519/5000][310/535][156793] Loss_D: -0.020932 Loss_G: -0.006359 Loss_D_real: -0.002827 Loss_D_fake 0.018104
[1519/5000][315/535][156794] Loss_D: -0.020833 Loss_G: 0.010116 Loss_D_real: -0.027013 Loss_D_fake -0.006181
[1519/5000][320/535][156795] Loss_D: -0.020324 Loss_G: -0.001982 Loss_D_real: -0.003956 Loss_D_fake 0.016367
[1519/5000][325/535][156796] Loss_D: -0.018189 Loss_G: 0.018133 Loss_D_real: -0.029671 Loss_D_fake -0.011482
[1519/5000][330/535][156797] Loss_D: -0.019964 Loss_G: -0.019101 Loss_D_real: 0.004093 Loss_D_fake 0.024056
[1519/5000][335/535][156798] Loss_D: -0.019783 Loss_G: 0.008835 Loss_D_real: -0.016209 Loss_D_fake 0.003574
[1519/5000][340/535][156799] Loss_D: -0.018221 Loss_G: 0.031285 Loss_D_real: -0.030600 Loss_D_fake -0.012379
[1519/5000][345/535][156800] Loss_D: -0.019295 Loss_G: 0.006075 Loss_D_real: -0.002996 Loss_D_fake 0.016299
[1519/5000][350/535][156801] Loss_D: -0.019711 Loss_G: 0.023599 Loss_D_real: -0.019343 Loss_D_fake 0.000368
[1519/5000][355/535][156802] Loss_D: -0.020500 Loss_G: -0.006557 Loss_D_real: -0.018522 Loss_D_fake 0.001978
[1519/5000][360/535][156803] Loss_D: -0.020656 Loss_G: 0.008827 Loss_D_real: -0.016393 Loss_D_fake 0.004263
[1519/5000][365/535][156804] Loss_D: -0.020791 Loss_G: 0.002085 Loss_D_real: -0.008502 Loss_D_fake 0.012289
[1519/5000][370/535][156805] Loss_D: -0.019830 Loss_G: -0.001107 Loss_D_real: -0.003870 Loss_D_fake 0.015960
[1519/5000][375/535][156806] Loss_D: -0.020174 Loss_G: 0.013964 Loss_D_real: -0.020609 Loss_D_fake -0.000434
[1519/5000][380/535][156807] Loss_D: -0.019050 Loss_G: -0.001315 Loss_D_real: -0.013973 Loss_D_fake 0.005077
[1519/5000][385/535][156808] Loss_D: -0.018832 Loss_G: 0.003720 Loss_D_real: -0.012237 Loss_D_fake 0.006594
[1519/5000][390/535][156809] Loss_D: -0.018689 Loss_G: 0.017935 Loss_D_real: -0.021797 Loss_D_fake -0.003108
[1519/5000][395/535][156810] Loss_D: -0.019712 Loss_G: 0.010041 Loss_D_real: -0.022861 Loss_D_fake -0.003149
[1519/5000][400/535][156811] Loss_D: -0.019489 Loss_G: 0.010918 Loss_D_real: -0.022418 Loss_D_fake -0.002929
[1519/5000][405/535][156812] Loss_D: -0.018863 Loss_G: 0.015895 Loss_D_real: -0.021956 Loss_D_fake -0.003093
[1519/5000][410/535][156813] Loss_D: -0.020203 Loss_G: 0.014456 Loss_D_real: -0.028464 Loss_D_fake -0.008261
[1519/5000][415/535][156814] Loss_D: -0.020016 Loss_G: 0.009787 Loss_D_real: -0.018908 Loss_D_fake 0.001108
[1519/5000][420/535][156815] Loss_D: -0.019961 Loss_G: 0.012352 Loss_D_real: -0.009131 Loss_D_fake 0.010830
[1519/5000][425/535][156816] Loss_D: -0.019599 Loss_G: 0.019946 Loss_D_real: -0.026566 Loss_D_fake -0.006967
[1519/5000][430/535][156817] Loss_D: -0.020973 Loss_G: 0.014386 Loss_D_real: -0.012121 Loss_D_fake 0.008852
[1519/5000][435/535][156818] Loss_D: -0.020623 Loss_G: 0.007108 Loss_D_real: -0.027335 Loss_D_fake -0.006712
[1519/5000][440/535][156819] Loss_D: -0.019251 Loss_G: 0.014377 Loss_D_real: -0.014959 Loss_D_fake 0.004292
[1519/5000][445/535][156820] Loss_D: -0.019623 Loss_G: 0.015799 Loss_D_real: -0.021927 Loss_D_fake -0.002304
[1519/5000][450/535][156821] Loss_D: -0.019216 Loss_G: 0.014188 Loss_D_real: -0.026916 Loss_D_fake -0.007699
[1519/5000][455/535][156822] Loss_D: -0.021469 Loss_G: 0.009495 Loss_D_real: -0.016570 Loss_D_fake 0.004899
[1519/5000][460/535][156823] Loss_D: -0.019910 Loss_G: 0.001332 Loss_D_real: -0.000035 Loss_D_fake 0.019875
[1519/5000][465/535][156824] Loss_D: -0.019168 Loss_G: 0.004942 Loss_D_real: -0.015346 Loss_D_fake 0.003822
[1519/5000][470/535][156825] Loss_D: -0.018951 Loss_G: -0.013674 Loss_D_real: -0.000844 Loss_D_fake 0.018107
[1519/5000][475/535][156826] Loss_D: -0.019742 Loss_G: -0.004630 Loss_D_real: -0.008909 Loss_D_fake 0.010833
[1519/5000][480/535][156827] Loss_D: -0.020012 Loss_G: -0.010234 Loss_D_real: -0.021388 Loss_D_fake -0.001377
[1519/5000][485/535][156828] Loss_D: -0.020521 Loss_G: 0.019828 Loss_D_real: -0.025972 Loss_D_fake -0.005451
[1519/5000][490/535][156829] Loss_D: -0.019449 Loss_G: -0.001395 Loss_D_real: 0.000805 Loss_D_fake 0.020254
[1519/5000][495/535][156830] Loss_D: -0.019169 Loss_G: -0.010443 Loss_D_real: -0.009306 Loss_D_fake 0.009863
[1519/5000][500/535][156831] Loss_D: -0.019387 Loss_G: 0.004136 Loss_D_real: -0.022557 Loss_D_fake -0.003169
[1519/5000][505/535][156832] Loss_D: -0.019945 Loss_G: 0.000653 Loss_D_real: -0.009425 Loss_D_fake 0.010520
[1519/5000][510/535][156833] Loss_D: -0.021822 Loss_G: -0.001083 Loss_D_real: -0.007863 Loss_D_fake 0.013960
[1519/5000][515/535][156834] Loss_D: -0.020492 Loss_G: -0.000924 Loss_D_real: -0.008216 Loss_D_fake 0.012276
[1519/5000][520/535][156835] Loss_D: -0.018756 Loss_G: 0.027757 Loss_D_real: -0.034578 Loss_D_fake -0.015822
[1519/5000][525/535][156836] Loss_D: -0.020780 Loss_G: 0.010708 Loss_D_real: -0.021741 Loss_D_fake -0.000961
[1519/5000][530/535][156837] Loss_D: -0.019481 Loss_G: 0.014228 Loss_D_real: -0.031456 Loss_D_fake -0.011975
[1519/5000][535/535][156838] Loss_D: -0.017111 Loss_G: 0.026338 Loss_D_real: -0.020257 Loss_D_fake -0.003146
[1520/5000][5/535][156839] Loss_D: -0.020448 Loss_G: 0.005299 Loss_D_real: -0.025421 Loss_D_fake -0.004973
[1520/5000][10/535][156840] Loss_D: -0.019627 Loss_G: 0.006609 Loss_D_real: 0.002926 Loss_D_fake 0.022553
[1520/5000][15/535][156841] Loss_D: -0.019502 Loss_G: -0.005472 Loss_D_real: -0.002418 Loss_D_fake 0.017084
[1520/5000][20/535][156842] Loss_D: -0.019459 Loss_G: 0.011046 Loss_D_real: -0.021877 Loss_D_fake -0.002418
[1520/5000][25/535][156843] Loss_D: -0.019481 Loss_G: -0.003404 Loss_D_real: -0.008989 Loss_D_fake 0.010492
[1520/5000][30/535][156844] Loss_D: -0.018611 Loss_G: -0.002861 Loss_D_real: -0.010588 Loss_D_fake 0.008023
[1520/5000][35/535][156845] Loss_D: -0.020743 Loss_G: 0.002421 Loss_D_real: -0.011640 Loss_D_fake 0.009104
[1520/5000][40/535][156846] Loss_D: -0.018233 Loss_G: 0.015182 Loss_D_real: -0.016559 Loss_D_fake 0.001674
[1520/5000][45/535][156847] Loss_D: -0.019783 Loss_G: 0.005484 Loss_D_real: -0.025516 Loss_D_fake -0.005733
[1520/5000][50/535][156848] Loss_D: -0.018398 Loss_G: 0.001126 Loss_D_real: -0.009935 Loss_D_fake 0.008462
[1520/5000][55/535][156849] Loss_D: -0.021625 Loss_G: 0.024219 Loss_D_real: -0.031223 Loss_D_fake -0.009598
[1520/5000][60/535][156850] Loss_D: -0.019993 Loss_G: -0.005748 Loss_D_real: -0.015019 Loss_D_fake 0.004973
[1520/5000][65/535][156851] Loss_D: -0.020489 Loss_G: 0.004313 Loss_D_real: -0.010919 Loss_D_fake 0.009570
[1520/5000][70/535][156852] Loss_D: -0.018844 Loss_G: 0.016174 Loss_D_real: -0.021305 Loss_D_fake -0.002461
[1520/5000][75/535][156853] Loss_D: -0.020386 Loss_G: -0.004656 Loss_D_real: -0.019276 Loss_D_fake 0.001110
[1520/5000][80/535][156854] Loss_D: -0.020565 Loss_G: 0.010047 Loss_D_real: -0.013288 Loss_D_fake 0.007278
[1520/5000][85/535][156855] Loss_D: -0.019816 Loss_G: 0.020525 Loss_D_real: -0.015046 Loss_D_fake 0.004770
[1520/5000][90/535][156856] Loss_D: -0.020007 Loss_G: 0.008001 Loss_D_real: -0.019098 Loss_D_fake 0.000909
[1520/5000][95/535][156857] Loss_D: -0.020313 Loss_G: 0.007475 Loss_D_real: -0.016823 Loss_D_fake 0.003490
[1520/5000][100/535][156858] Loss_D: -0.018545 Loss_G: -0.007631 Loss_D_real: -0.000970 Loss_D_fake 0.017575
[1520/5000][105/535][156859] Loss_D: -0.018291 Loss_G: 0.032622 Loss_D_real: -0.033823 Loss_D_fake -0.015532
[1520/5000][110/535][156860] Loss_D: -0.017474 Loss_G: 0.025766 Loss_D_real: -0.026453 Loss_D_fake -0.008979
[1520/5000][115/535][156861] Loss_D: -0.018420 Loss_G: 0.002553 Loss_D_real: 0.004134 Loss_D_fake 0.022554
[1520/5000][120/535][156862] Loss_D: -0.018930 Loss_G: 0.018974 Loss_D_real: -0.016942 Loss_D_fake 0.001989
[1520/5000][125/535][156863] Loss_D: -0.020847 Loss_G: 0.005154 Loss_D_real: -0.022506 Loss_D_fake -0.001659
[1520/5000][130/535][156864] Loss_D: -0.020003 Loss_G: -0.010816 Loss_D_real: -0.003318 Loss_D_fake 0.016685
[1520/5000][135/535][156865] Loss_D: -0.018575 Loss_G: 0.010439 Loss_D_real: -0.021400 Loss_D_fake -0.002825
[1520/5000][140/535][156866] Loss_D: -0.020658 Loss_G: 0.022967 Loss_D_real: -0.020751 Loss_D_fake -0.000092
[1520/5000][145/535][156867] Loss_D: -0.019099 Loss_G: 0.005518 Loss_D_real: -0.007467 Loss_D_fake 0.011632
[1520/5000][150/535][156868] Loss_D: -0.019655 Loss_G: 0.012074 Loss_D_real: -0.031623 Loss_D_fake -0.011968
[1520/5000][155/535][156869] Loss_D: -0.021476 Loss_G: 0.016572 Loss_D_real: -0.016198 Loss_D_fake 0.005278
[1520/5000][160/535][156870] Loss_D: -0.019916 Loss_G: 0.011768 Loss_D_real: -0.013677 Loss_D_fake 0.006239
[1520/5000][165/535][156871] Loss_D: -0.020126 Loss_G: 0.009637 Loss_D_real: -0.031197 Loss_D_fake -0.011072
[1520/5000][170/535][156872] Loss_D: -0.019244 Loss_G: 0.029073 Loss_D_real: -0.021800 Loss_D_fake -0.002556
[1520/5000][175/535][156873] Loss_D: -0.019228 Loss_G: 0.011286 Loss_D_real: -0.017296 Loss_D_fake 0.001932
[1520/5000][180/535][156874] Loss_D: -0.017878 Loss_G: -0.015324 Loss_D_real: -0.007587 Loss_D_fake 0.010291
[1520/5000][185/535][156875] Loss_D: -0.019979 Loss_G: 0.003281 Loss_D_real: -0.014011 Loss_D_fake 0.005969
[1520/5000][190/535][156876] Loss_D: -0.019649 Loss_G: 0.022922 Loss_D_real: -0.035058 Loss_D_fake -0.015409
[1520/5000][195/535][156877] Loss_D: -0.019593 Loss_G: 0.020123 Loss_D_real: -0.018632 Loss_D_fake 0.000961
[1520/5000][200/535][156878] Loss_D: -0.020294 Loss_G: -0.000515 Loss_D_real: -0.017492 Loss_D_fake 0.002802
[1520/5000][205/535][156879] Loss_D: -0.019933 Loss_G: 0.010685 Loss_D_real: -0.006467 Loss_D_fake 0.013466
[1520/5000][210/535][156880] Loss_D: -0.019502 Loss_G: 0.025078 Loss_D_real: -0.021113 Loss_D_fake -0.001611
[1520/5000][215/535][156881] Loss_D: -0.019751 Loss_G: 0.013912 Loss_D_real: -0.021512 Loss_D_fake -0.001761
[1520/5000][220/535][156882] Loss_D: -0.020124 Loss_G: 0.008876 Loss_D_real: -0.020867 Loss_D_fake -0.000744
[1520/5000][225/535][156883] Loss_D: -0.018561 Loss_G: 0.024767 Loss_D_real: -0.021280 Loss_D_fake -0.002719
[1520/5000][230/535][156884] Loss_D: -0.020652 Loss_G: -0.003183 Loss_D_real: -0.022075 Loss_D_fake -0.001423
[1520/5000][235/535][156885] Loss_D: -0.019987 Loss_G: 0.009398 Loss_D_real: -0.024401 Loss_D_fake -0.004414
[1520/5000][240/535][156886] Loss_D: -0.019529 Loss_G: -0.001604 Loss_D_real: 0.002604 Loss_D_fake 0.022133
[1520/5000][245/535][156887] Loss_D: -0.020913 Loss_G: 0.013707 Loss_D_real: -0.014063 Loss_D_fake 0.006850
[1520/5000][250/535][156888] Loss_D: -0.019659 Loss_G: 0.019719 Loss_D_real: -0.020101 Loss_D_fake -0.000442
[1520/5000][255/535][156889] Loss_D: -0.018821 Loss_G: 0.006655 Loss_D_real: -0.018012 Loss_D_fake 0.000809
[1520/5000][260/535][156890] Loss_D: -0.019455 Loss_G: 0.010685 Loss_D_real: -0.020750 Loss_D_fake -0.001295
[1520/5000][265/535][156891] Loss_D: -0.018869 Loss_G: -0.013075 Loss_D_real: -0.001289 Loss_D_fake 0.017581
[1520/5000][270/535][156892] Loss_D: -0.020020 Loss_G: 0.000772 Loss_D_real: -0.018485 Loss_D_fake 0.001535
[1520/5000][275/535][156893] Loss_D: -0.018230 Loss_G: 0.024045 Loss_D_real: -0.032246 Loss_D_fake -0.014016
[1520/5000][280/535][156894] Loss_D: -0.019071 Loss_G: -0.011979 Loss_D_real: -0.004603 Loss_D_fake 0.014468
[1520/5000][285/535][156895] Loss_D: -0.018702 Loss_G: 0.011716 Loss_D_real: -0.023471 Loss_D_fake -0.004769
[1520/5000][290/535][156896] Loss_D: -0.020618 Loss_G: 0.001553 Loss_D_real: -0.012983 Loss_D_fake 0.007636
[1520/5000][295/535][156897] Loss_D: -0.020200 Loss_G: 0.012013 Loss_D_real: -0.014007 Loss_D_fake 0.006193
[1520/5000][300/535][156898] Loss_D: -0.020350 Loss_G: -0.003461 Loss_D_real: -0.001046 Loss_D_fake 0.019305
[1520/5000][305/535][156899] Loss_D: -0.019355 Loss_G: 0.024558 Loss_D_real: -0.023565 Loss_D_fake -0.004211
[1520/5000][310/535][156900] Loss_D: -0.018806 Loss_G: 0.031628 Loss_D_real: -0.022113 Loss_D_fake -0.003307
[1520/5000][315/535][156901] Loss_D: -0.019354 Loss_G: 0.008951 Loss_D_real: -0.025113 Loss_D_fake -0.005759
[1520/5000][320/535][156902] Loss_D: -0.019137 Loss_G: 0.013625 Loss_D_real: -0.024893 Loss_D_fake -0.005756
[1520/5000][325/535][156903] Loss_D: -0.019932 Loss_G: 0.008026 Loss_D_real: -0.010834 Loss_D_fake 0.009098
[1520/5000][330/535][156904] Loss_D: -0.017762 Loss_G: 0.027269 Loss_D_real: -0.027112 Loss_D_fake -0.009350
[1520/5000][335/535][156905] Loss_D: -0.019719 Loss_G: 0.005747 Loss_D_real: -0.023399 Loss_D_fake -0.003681
[1520/5000][340/535][156906] Loss_D: -0.019110 Loss_G: 0.014738 Loss_D_real: -0.016280 Loss_D_fake 0.002830
[1520/5000][345/535][156907] Loss_D: -0.018730 Loss_G: 0.022113 Loss_D_real: -0.023168 Loss_D_fake -0.004438
[1520/5000][350/535][156908] Loss_D: -0.018975 Loss_G: -0.004966 Loss_D_real: -0.017234 Loss_D_fake 0.001741
[1520/5000][355/535][156909] Loss_D: -0.020796 Loss_G: 0.005729 Loss_D_real: -0.021195 Loss_D_fake -0.000399
[1520/5000][360/535][156910] Loss_D: -0.020265 Loss_G: -0.012892 Loss_D_real: -0.024196 Loss_D_fake -0.003931
[1520/5000][365/535][156911] Loss_D: -0.020904 Loss_G: 0.015286 Loss_D_real: -0.012682 Loss_D_fake 0.008222
[1520/5000][370/535][156912] Loss_D: -0.020252 Loss_G: -0.004010 Loss_D_real: -0.005154 Loss_D_fake 0.015098
[1520/5000][375/535][156913] Loss_D: -0.019859 Loss_G: 0.007916 Loss_D_real: -0.014487 Loss_D_fake 0.005373
[1520/5000][380/535][156914] Loss_D: -0.020632 Loss_G: 0.003565 Loss_D_real: -0.012806 Loss_D_fake 0.007826
[1520/5000][385/535][156915] Loss_D: -0.020238 Loss_G: 0.002833 Loss_D_real: -0.013537 Loss_D_fake 0.006702
[1520/5000][390/535][156916] Loss_D: -0.019117 Loss_G: 0.005539 Loss_D_real: -0.016600 Loss_D_fake 0.002517
[1520/5000][395/535][156917] Loss_D: -0.020231 Loss_G: 0.005035 Loss_D_real: 0.001330 Loss_D_fake 0.021561
[1520/5000][400/535][156918] Loss_D: -0.018851 Loss_G: 0.019753 Loss_D_real: -0.028025 Loss_D_fake -0.009174
[1520/5000][405/535][156919] Loss_D: -0.019482 Loss_G: -0.006422 Loss_D_real: -0.000320 Loss_D_fake 0.019162
[1520/5000][410/535][156920] Loss_D: -0.019558 Loss_G: -0.004673 Loss_D_real: -0.011288 Loss_D_fake 0.008269
[1520/5000][415/535][156921] Loss_D: -0.018288 Loss_G: 0.002576 Loss_D_real: -0.015440 Loss_D_fake 0.002848
[1520/5000][420/535][156922] Loss_D: -0.020095 Loss_G: -0.013459 Loss_D_real: 0.000661 Loss_D_fake 0.020755
[1520/5000][425/535][156923] Loss_D: -0.019677 Loss_G: 0.009612 Loss_D_real: -0.015001 Loss_D_fake 0.004675
[1520/5000][430/535][156924] Loss_D: -0.019160 Loss_G: 0.005175 Loss_D_real: -0.021502 Loss_D_fake -0.002342
[1520/5000][435/535][156925] Loss_D: -0.021039 Loss_G: 0.001329 Loss_D_real: -0.010983 Loss_D_fake 0.010056
[1520/5000][440/535][156926] Loss_D: -0.019614 Loss_G: 0.013638 Loss_D_real: -0.016425 Loss_D_fake 0.003189
[1520/5000][445/535][156927] Loss_D: -0.020510 Loss_G: 0.027509 Loss_D_real: -0.036830 Loss_D_fake -0.016321
[1520/5000][450/535][156928] Loss_D: -0.019689 Loss_G: 0.012303 Loss_D_real: -0.011107 Loss_D_fake 0.008583
[1520/5000][455/535][156929] Loss_D: -0.019481 Loss_G: 0.000117 Loss_D_real: -0.018943 Loss_D_fake 0.000537
[1520/5000][460/535][156930] Loss_D: -0.021136 Loss_G: 0.018908 Loss_D_real: -0.016628 Loss_D_fake 0.004508
[1520/5000][465/535][156931] Loss_D: -0.018446 Loss_G: 0.019881 Loss_D_real: -0.034057 Loss_D_fake -0.015611
[1520/5000][470/535][156932] Loss_D: -0.020265 Loss_G: -0.010942 Loss_D_real: 0.001563 Loss_D_fake 0.021828
[1520/5000][475/535][156933] Loss_D: -0.020331 Loss_G: 0.022722 Loss_D_real: -0.018782 Loss_D_fake 0.001549
[1520/5000][480/535][156934] Loss_D: -0.020834 Loss_G: 0.003250 Loss_D_real: -0.012285 Loss_D_fake 0.008549
[1520/5000][485/535][156935] Loss_D: -0.021375 Loss_G: 0.003622 Loss_D_real: -0.019211 Loss_D_fake 0.002164
[1520/5000][490/535][156936] Loss_D: -0.020181 Loss_G: -0.003599 Loss_D_real: -0.008683 Loss_D_fake 0.011498
[1520/5000][495/535][156937] Loss_D: -0.019570 Loss_G: 0.021956 Loss_D_real: -0.019717 Loss_D_fake -0.000146
[1520/5000][500/535][156938] Loss_D: -0.019266 Loss_G: 0.013204 Loss_D_real: -0.022550 Loss_D_fake -0.003284
[1520/5000][505/535][156939] Loss_D: -0.019862 Loss_G: 0.009203 Loss_D_real: -0.014038 Loss_D_fake 0.005824
[1520/5000][510/535][156940] Loss_D: -0.021053 Loss_G: 0.001731 Loss_D_real: -0.006998 Loss_D_fake 0.014055
[1520/5000][515/535][156941] Loss_D: -0.017330 Loss_G: 0.016136 Loss_D_real: -0.022723 Loss_D_fake -0.005393
[1520/5000][520/535][156942] Loss_D: -0.020648 Loss_G: 0.011766 Loss_D_real: -0.017173 Loss_D_fake 0.003475
[1520/5000][525/535][156943] Loss_D: -0.019244 Loss_G: -0.011402 Loss_D_real: -0.001530 Loss_D_fake 0.017714
[1520/5000][530/535][156944] Loss_D: -0.018784 Loss_G: 0.011335 Loss_D_real: -0.022327 Loss_D_fake -0.003543
[1520/5000][535/535][156945] Loss_D: -0.018735 Loss_G: 0.021170 Loss_D_real: -0.028438 Loss_D_fake -0.009703
[1521/5000][5/535][156946] Loss_D: -0.020472 Loss_G: 0.006696 Loss_D_real: -0.024801 Loss_D_fake -0.004328
[1521/5000][10/535][156947] Loss_D: -0.019365 Loss_G: -0.006165 Loss_D_real: -0.010111 Loss_D_fake 0.009255
[1521/5000][15/535][156948] Loss_D: -0.019450 Loss_G: 0.013236 Loss_D_real: -0.029567 Loss_D_fake -0.010117
[1521/5000][20/535][156949] Loss_D: -0.018699 Loss_G: 0.015650 Loss_D_real: -0.021910 Loss_D_fake -0.003211
[1521/5000][25/535][156950] Loss_D: -0.018564 Loss_G: 0.023423 Loss_D_real: -0.025968 Loss_D_fake -0.007403
[1521/5000][30/535][156951] Loss_D: -0.018900 Loss_G: -0.003026 Loss_D_real: -0.013670 Loss_D_fake 0.005230
[1521/5000][35/535][156952] Loss_D: -0.020751 Loss_G: 0.009521 Loss_D_real: -0.011537 Loss_D_fake 0.009215
[1521/5000][40/535][156953] Loss_D: -0.021421 Loss_G: 0.005797 Loss_D_real: -0.020216 Loss_D_fake 0.001206
[1521/5000][45/535][156954] Loss_D: -0.020372 Loss_G: 0.003547 Loss_D_real: 0.003201 Loss_D_fake 0.023572
[1521/5000][50/535][156955] Loss_D: -0.020556 Loss_G: 0.009817 Loss_D_real: -0.012372 Loss_D_fake 0.008184
[1521/5000][55/535][156956] Loss_D: -0.018901 Loss_G: 0.023583 Loss_D_real: -0.030870 Loss_D_fake -0.011969
[1521/5000][60/535][156957] Loss_D: -0.019857 Loss_G: -0.003507 Loss_D_real: -0.003164 Loss_D_fake 0.016693
[1521/5000][65/535][156958] Loss_D: -0.020658 Loss_G: 0.020647 Loss_D_real: -0.008873 Loss_D_fake 0.011785
[1521/5000][70/535][156959] Loss_D: -0.019337 Loss_G: 0.005941 Loss_D_real: -0.005554 Loss_D_fake 0.013784
[1521/5000][75/535][156960] Loss_D: -0.018802 Loss_G: 0.000197 Loss_D_real: -0.003628 Loss_D_fake 0.015174
[1521/5000][80/535][156961] Loss_D: -0.020430 Loss_G: 0.001552 Loss_D_real: -0.012353 Loss_D_fake 0.008076
[1521/5000][85/535][156962] Loss_D: -0.020892 Loss_G: -0.003390 Loss_D_real: -0.010259 Loss_D_fake 0.010633
[1521/5000][90/535][156963] Loss_D: -0.019232 Loss_G: 0.019619 Loss_D_real: -0.020594 Loss_D_fake -0.001363
[1521/5000][95/535][156964] Loss_D: -0.018439 Loss_G: 0.007398 Loss_D_real: -0.026159 Loss_D_fake -0.007720
[1521/5000][100/535][156965] Loss_D: -0.020179 Loss_G: 0.004220 Loss_D_real: -0.003697 Loss_D_fake 0.016482
[1521/5000][105/535][156966] Loss_D: -0.020928 Loss_G: 0.019201 Loss_D_real: -0.031779 Loss_D_fake -0.010850
[1521/5000][110/535][156967] Loss_D: -0.021348 Loss_G: 0.019240 Loss_D_real: -0.023557 Loss_D_fake -0.002209
[1521/5000][115/535][156968] Loss_D: -0.019759 Loss_G: -0.019907 Loss_D_real: 0.003614 Loss_D_fake 0.023373
[1521/5000][120/535][156969] Loss_D: -0.018519 Loss_G: 0.011679 Loss_D_real: -0.037341 Loss_D_fake -0.018822
[1521/5000][125/535][156970] Loss_D: -0.020035 Loss_G: 0.007752 Loss_D_real: -0.014933 Loss_D_fake 0.005102
[1521/5000][130/535][156971] Loss_D: -0.019829 Loss_G: 0.023345 Loss_D_real: -0.021406 Loss_D_fake -0.001577
[1521/5000][135/535][156972] Loss_D: -0.019555 Loss_G: 0.014131 Loss_D_real: -0.012610 Loss_D_fake 0.006945
[1521/5000][140/535][156973] Loss_D: -0.019172 Loss_G: 0.004153 Loss_D_real: -0.010161 Loss_D_fake 0.009011
[1521/5000][145/535][156974] Loss_D: -0.018841 Loss_G: 0.007243 Loss_D_real: -0.032985 Loss_D_fake -0.014144
[1521/5000][150/535][156975] Loss_D: -0.019174 Loss_G: 0.001801 Loss_D_real: -0.027218 Loss_D_fake -0.008044
[1521/5000][155/535][156976] Loss_D: -0.016967 Loss_G: -0.015789 Loss_D_real: 0.017609 Loss_D_fake 0.034577
[1521/5000][160/535][156977] Loss_D: -0.018222 Loss_G: -0.008736 Loss_D_real: -0.006385 Loss_D_fake 0.011836
[1521/5000][165/535][156978] Loss_D: -0.019369 Loss_G: 0.019402 Loss_D_real: -0.022101 Loss_D_fake -0.002732
[1521/5000][170/535][156979] Loss_D: -0.018776 Loss_G: 0.009157 Loss_D_real: -0.018687 Loss_D_fake 0.000090
[1521/5000][175/535][156980] Loss_D: -0.018587 Loss_G: -0.022048 Loss_D_real: -0.001167 Loss_D_fake 0.017420
[1521/5000][180/535][156981] Loss_D: -0.017840 Loss_G: 0.006091 Loss_D_real: -0.010569 Loss_D_fake 0.007271
[1521/5000][185/535][156982] Loss_D: -0.019949 Loss_G: 0.027447 Loss_D_real: -0.025483 Loss_D_fake -0.005534
[1521/5000][190/535][156983] Loss_D: -0.018667 Loss_G: 0.009048 Loss_D_real: -0.022864 Loss_D_fake -0.004197
[1521/5000][195/535][156984] Loss_D: -0.019832 Loss_G: 0.014971 Loss_D_real: -0.021314 Loss_D_fake -0.001482
[1521/5000][200/535][156985] Loss_D: -0.019784 Loss_G: 0.017685 Loss_D_real: -0.026974 Loss_D_fake -0.007190
[1521/5000][205/535][156986] Loss_D: -0.019536 Loss_G: -0.003074 Loss_D_real: -0.008984 Loss_D_fake 0.010552
[1521/5000][210/535][156987] Loss_D: -0.020222 Loss_G: 0.021821 Loss_D_real: -0.023440 Loss_D_fake -0.003219
[1521/5000][215/535][156988] Loss_D: -0.020210 Loss_G: -0.009646 Loss_D_real: -0.022575 Loss_D_fake -0.002366
[1521/5000][220/535][156989] Loss_D: -0.020436 Loss_G: 0.010350 Loss_D_real: -0.012226 Loss_D_fake 0.008210
[1521/5000][225/535][156990] Loss_D: -0.017745 Loss_G: -0.004012 Loss_D_real: -0.000462 Loss_D_fake 0.017283
[1521/5000][230/535][156991] Loss_D: -0.019567 Loss_G: 0.007723 Loss_D_real: -0.017436 Loss_D_fake 0.002131
[1521/5000][235/535][156992] Loss_D: -0.019870 Loss_G: 0.007600 Loss_D_real: -0.007771 Loss_D_fake 0.012099
[1521/5000][240/535][156993] Loss_D: -0.017743 Loss_G: 0.012984 Loss_D_real: -0.028212 Loss_D_fake -0.010469
[1521/5000][245/535][156994] Loss_D: -0.020853 Loss_G: 0.015240 Loss_D_real: -0.014054 Loss_D_fake 0.006799
[1521/5000][250/535][156995] Loss_D: -0.020383 Loss_G: -0.004085 Loss_D_real: -0.007863 Loss_D_fake 0.012520
[1521/5000][255/535][156996] Loss_D: -0.020261 Loss_G: 0.015273 Loss_D_real: -0.013496 Loss_D_fake 0.006765
[1521/5000][260/535][156997] Loss_D: -0.020520 Loss_G: 0.009434 Loss_D_real: -0.021702 Loss_D_fake -0.001183
[1521/5000][265/535][156998] Loss_D: -0.019704 Loss_G: 0.011884 Loss_D_real: -0.016034 Loss_D_fake 0.003670
[1521/5000][270/535][156999] Loss_D: -0.019766 Loss_G: 0.012112 Loss_D_real: -0.024810 Loss_D_fake -0.005044
[1521/5000][275/535][157000] Loss_D: -0.019597 Loss_G: 0.015633 Loss_D_real: -0.033541 Loss_D_fake -0.013944
[1521/5000][375/535][157001] Loss_D: -0.021630 Loss_G: 0.010741 Loss_D_real: -0.011899 Loss_D_fake 0.009731
[1521/5000][380/535][157002] Loss_D: -0.018546 Loss_G: -0.000296 Loss_D_real: -0.009285 Loss_D_fake 0.009261
[1521/5000][385/535][157003] Loss_D: -0.018233 Loss_G: 0.018517 Loss_D_real: -0.024108 Loss_D_fake -0.005875
[1521/5000][390/535][157004] Loss_D: -0.017050 Loss_G: 0.003109 Loss_D_real: -0.003715 Loss_D_fake 0.013335
[1521/5000][395/535][157005] Loss_D: -0.018018 Loss_G: -0.007325 Loss_D_real: -0.007486 Loss_D_fake 0.010531
[1521/5000][400/535][157006] Loss_D: -0.019347 Loss_G: 0.016246 Loss_D_real: -0.029663 Loss_D_fake -0.010316
[1521/5000][405/535][157007] Loss_D: -0.017719 Loss_G: 0.016207 Loss_D_real: -0.007374 Loss_D_fake 0.010345
[1521/5000][410/535][157008] Loss_D: -0.018530 Loss_G: 0.005927 Loss_D_real: -0.005847 Loss_D_fake 0.012682
[1521/5000][415/535][157009] Loss_D: -0.018345 Loss_G: -0.000388 Loss_D_real: -0.014190 Loss_D_fake 0.004155
[1521/5000][420/535][157010] Loss_D: -0.019192 Loss_G: 0.014256 Loss_D_real: -0.020493 Loss_D_fake -0.001301
[1521/5000][425/535][157011] Loss_D: -0.019480 Loss_G: -0.002486 Loss_D_real: -0.005819 Loss_D_fake 0.013661
[1521/5000][430/535][157012] Loss_D: -0.019359 Loss_G: -0.002074 Loss_D_real: -0.009871 Loss_D_fake 0.009489
[1521/5000][435/535][157013] Loss_D: -0.020664 Loss_G: -0.001155 Loss_D_real: -0.025917 Loss_D_fake -0.005253
[1521/5000][440/535][157014] Loss_D: -0.019736 Loss_G: 0.015897 Loss_D_real: -0.015257 Loss_D_fake 0.004479
[1521/5000][445/535][157015] Loss_D: -0.019730 Loss_G: 0.016439 Loss_D_real: -0.021754 Loss_D_fake -0.002025
[1521/5000][450/535][157016] Loss_D: -0.017914 Loss_G: 0.016184 Loss_D_real: -0.023908 Loss_D_fake -0.005994
[1521/5000][455/535][157017] Loss_D: -0.021044 Loss_G: -0.004799 Loss_D_real: -0.024322 Loss_D_fake -0.003278
[1521/5000][460/535][157018] Loss_D: -0.019297 Loss_G: 0.000432 Loss_D_real: -0.003312 Loss_D_fake 0.015985
[1521/5000][465/535][157019] Loss_D: -0.019329 Loss_G: 0.000743 Loss_D_real: -0.011237 Loss_D_fake 0.008092
[1521/5000][470/535][157020] Loss_D: -0.019969 Loss_G: 0.004978 Loss_D_real: -0.013580 Loss_D_fake 0.006389
[1521/5000][475/535][157021] Loss_D: -0.018280 Loss_G: 0.018633 Loss_D_real: -0.024374 Loss_D_fake -0.006094
[1521/5000][480/535][157022] Loss_D: -0.021293 Loss_G: 0.005483 Loss_D_real: -0.023497 Loss_D_fake -0.002204
[1521/5000][485/535][157023] Loss_D: -0.021000 Loss_G: 0.006235 Loss_D_real: -0.002498 Loss_D_fake 0.018501
[1521/5000][490/535][157024] Loss_D: -0.017925 Loss_G: 0.011617 Loss_D_real: -0.024870 Loss_D_fake -0.006945
[1521/5000][495/535][157025] Loss_D: -0.021368 Loss_G: 0.009018 Loss_D_real: -0.024120 Loss_D_fake -0.002751
[1521/5000][500/535][157026] Loss_D: -0.020844 Loss_G: 0.009955 Loss_D_real: -0.014197 Loss_D_fake 0.006647
[1521/5000][505/535][157027] Loss_D: -0.018883 Loss_G: -0.018753 Loss_D_real: -0.003911 Loss_D_fake 0.014972
[1521/5000][510/535][157028] Loss_D: -0.018330 Loss_G: 0.008597 Loss_D_real: -0.021222 Loss_D_fake -0.002892
[1521/5000][515/535][157029] Loss_D: -0.018604 Loss_G: 0.025210 Loss_D_real: -0.016486 Loss_D_fake 0.002118
[1521/5000][520/535][157030] Loss_D: -0.017823 Loss_G: 0.006917 Loss_D_real: -0.018982 Loss_D_fake -0.001159
[1521/5000][525/535][157031] Loss_D: -0.019691 Loss_G: 0.002075 Loss_D_real: -0.021567 Loss_D_fake -0.001876
[1521/5000][530/535][157032] Loss_D: -0.019759 Loss_G: 0.012734 Loss_D_real: -0.026540 Loss_D_fake -0.006780
[1521/5000][535/535][157033] Loss_D: -0.023906 Loss_G: 0.033646 Loss_D_real: -0.013242 Loss_D_fake 0.010664
[1522/5000][5/535][157034] Loss_D: -0.020147 Loss_G: -0.012503 Loss_D_real: -0.012468 Loss_D_fake 0.007679
[1522/5000][10/535][157035] Loss_D: -0.016281 Loss_G: 0.032625 Loss_D_real: -0.027455 Loss_D_fake -0.011174
[1522/5000][15/535][157036] Loss_D: -0.019805 Loss_G: 0.008940 Loss_D_real: -0.026903 Loss_D_fake -0.007099
[1522/5000][20/535][157037] Loss_D: -0.019290 Loss_G: -0.000411 Loss_D_real: -0.012712 Loss_D_fake 0.006579
[1522/5000][25/535][157038] Loss_D: -0.017779 Loss_G: 0.034787 Loss_D_real: -0.027403 Loss_D_fake -0.009623
[1522/5000][30/535][157039] Loss_D: -0.020310 Loss_G: 0.007935 Loss_D_real: -0.017136 Loss_D_fake 0.003174
[1522/5000][35/535][157040] Loss_D: -0.019776 Loss_G: 0.025438 Loss_D_real: -0.026381 Loss_D_fake -0.006605
[1522/5000][40/535][157041] Loss_D: -0.019211 Loss_G: -0.007511 Loss_D_real: -0.009576 Loss_D_fake 0.009636
[1522/5000][45/535][157042] Loss_D: -0.020403 Loss_G: -0.012257 Loss_D_real: -0.019515 Loss_D_fake 0.000888
[1522/5000][50/535][157043] Loss_D: -0.019754 Loss_G: 0.007968 Loss_D_real: -0.016324 Loss_D_fake 0.003430
[1522/5000][55/535][157044] Loss_D: -0.019253 Loss_G: -0.002568 Loss_D_real: -0.014149 Loss_D_fake 0.005105
[1522/5000][60/535][157045] Loss_D: -0.019656 Loss_G: 0.002747 Loss_D_real: -0.017721 Loss_D_fake 0.001935
[1522/5000][65/535][157046] Loss_D: -0.019221 Loss_G: 0.025881 Loss_D_real: -0.018032 Loss_D_fake 0.001188
[1522/5000][70/535][157047] Loss_D: -0.019026 Loss_G: 0.026009 Loss_D_real: -0.029327 Loss_D_fake -0.010300
[1522/5000][75/535][157048] Loss_D: -0.020367 Loss_G: 0.007938 Loss_D_real: -0.016316 Loss_D_fake 0.004051
[1522/5000][80/535][157049] Loss_D: -0.017968 Loss_G: -0.020350 Loss_D_real: 0.001350 Loss_D_fake 0.019318
[1522/5000][85/535][157050] Loss_D: -0.019204 Loss_G: 0.010078 Loss_D_real: -0.027309 Loss_D_fake -0.008104
[1522/5000][90/535][157051] Loss_D: -0.018709 Loss_G: 0.004514 Loss_D_real: -0.026743 Loss_D_fake -0.008034
[1522/5000][95/535][157052] Loss_D: -0.020130 Loss_G: 0.017471 Loss_D_real: -0.014830 Loss_D_fake 0.005300
[1522/5000][100/535][157053] Loss_D: -0.019337 Loss_G: 0.001277 Loss_D_real: -0.008979 Loss_D_fake 0.010358
[1522/5000][105/535][157054] Loss_D: -0.019620 Loss_G: -0.001852 Loss_D_real: -0.007060 Loss_D_fake 0.012560
[1522/5000][110/535][157055] Loss_D: -0.019935 Loss_G: 0.018400 Loss_D_real: -0.019786 Loss_D_fake 0.000149
[1522/5000][115/535][157056] Loss_D: -0.018481 Loss_G: 0.016983 Loss_D_real: -0.010803 Loss_D_fake 0.007678
[1522/5000][120/535][157057] Loss_D: -0.019934 Loss_G: 0.006787 Loss_D_real: -0.010026 Loss_D_fake 0.009909
[1522/5000][125/535][157058] Loss_D: -0.019168 Loss_G: 0.000946 Loss_D_real: -0.012328 Loss_D_fake 0.006840
[1522/5000][130/535][157059] Loss_D: -0.019607 Loss_G: 0.002193 Loss_D_real: -0.017487 Loss_D_fake 0.002120
[1522/5000][135/535][157060] Loss_D: -0.020007 Loss_G: 0.014106 Loss_D_real: -0.019074 Loss_D_fake 0.000934
[1522/5000][140/535][157061] Loss_D: -0.020767 Loss_G: -0.011573 Loss_D_real: -0.000107 Loss_D_fake 0.020660
[1522/5000][145/535][157062] Loss_D: -0.019310 Loss_G: 0.018277 Loss_D_real: -0.023095 Loss_D_fake -0.003785
[1522/5000][150/535][157063] Loss_D: -0.018556 Loss_G: -0.021737 Loss_D_real: 0.001978 Loss_D_fake 0.020533
[1522/5000][155/535][157064] Loss_D: -0.018803 Loss_G: -0.003566 Loss_D_real: -0.000383 Loss_D_fake 0.018420
[1522/5000][160/535][157065] Loss_D: -0.017821 Loss_G: -0.007132 Loss_D_real: -0.011677 Loss_D_fake 0.006144
[1522/5000][165/535][157066] Loss_D: -0.018473 Loss_G: 0.003518 Loss_D_real: -0.022560 Loss_D_fake -0.004086
[1522/5000][170/535][157067] Loss_D: -0.019838 Loss_G: 0.013951 Loss_D_real: -0.006375 Loss_D_fake 0.013463
[1522/5000][175/535][157068] Loss_D: -0.020300 Loss_G: 0.001851 Loss_D_real: -0.006082 Loss_D_fake 0.014218
[1522/5000][180/535][157069] Loss_D: -0.019216 Loss_G: -0.001164 Loss_D_real: -0.007839 Loss_D_fake 0.011376
[1522/5000][185/535][157070] Loss_D: -0.018707 Loss_G: 0.004328 Loss_D_real: -0.009612 Loss_D_fake 0.009095
[1522/5000][190/535][157071] Loss_D: -0.020142 Loss_G: 0.024148 Loss_D_real: -0.018773 Loss_D_fake 0.001370
[1522/5000][195/535][157072] Loss_D: -0.020710 Loss_G: 0.000717 Loss_D_real: 0.000802 Loss_D_fake 0.021512
[1522/5000][200/535][157073] Loss_D: -0.019976 Loss_G: 0.008569 Loss_D_real: -0.020323 Loss_D_fake -0.000347
[1522/5000][205/535][157074] Loss_D: -0.019835 Loss_G: 0.019035 Loss_D_real: -0.021395 Loss_D_fake -0.001560
[1522/5000][210/535][157075] Loss_D: -0.019203 Loss_G: 0.003471 Loss_D_real: -0.017067 Loss_D_fake 0.002136
[1522/5000][215/535][157076] Loss_D: -0.021431 Loss_G: 0.004216 Loss_D_real: -0.018305 Loss_D_fake 0.003125
[1522/5000][220/535][157077] Loss_D: -0.021286 Loss_G: 0.020280 Loss_D_real: -0.023046 Loss_D_fake -0.001760
[1522/5000][225/535][157078] Loss_D: -0.018814 Loss_G: 0.007747 Loss_D_real: -0.015984 Loss_D_fake 0.002830
[1522/5000][230/535][157079] Loss_D: -0.020053 Loss_G: -0.004267 Loss_D_real: -0.016091 Loss_D_fake 0.003963
[1522/5000][235/535][157080] Loss_D: -0.019458 Loss_G: 0.002529 Loss_D_real: -0.012689 Loss_D_fake 0.006769
[1522/5000][240/535][157081] Loss_D: -0.019902 Loss_G: 0.006183 Loss_D_real: -0.019628 Loss_D_fake 0.000275
[1522/5000][245/535][157082] Loss_D: -0.018600 Loss_G: 0.014777 Loss_D_real: -0.018188 Loss_D_fake 0.000412
[1522/5000][250/535][157083] Loss_D: -0.019991 Loss_G: -0.004771 Loss_D_real: -0.014838 Loss_D_fake 0.005153
[1522/5000][255/535][157084] Loss_D: -0.018999 Loss_G: 0.006414 Loss_D_real: -0.024659 Loss_D_fake -0.005660
[1522/5000][260/535][157085] Loss_D: -0.018471 Loss_G: 0.019963 Loss_D_real: -0.027790 Loss_D_fake -0.009318
[1522/5000][265/535][157086] Loss_D: -0.019479 Loss_G: 0.020520 Loss_D_real: -0.020662 Loss_D_fake -0.001183
[1522/5000][270/535][157087] Loss_D: -0.018509 Loss_G: -0.008673 Loss_D_real: -0.001041 Loss_D_fake 0.017467
[1522/5000][275/535][157088] Loss_D: -0.019400 Loss_G: 0.002000 Loss_D_real: -0.006624 Loss_D_fake 0.012776
[1522/5000][280/535][157089] Loss_D: -0.019341 Loss_G: 0.006795 Loss_D_real: -0.015384 Loss_D_fake 0.003957
[1522/5000][285/535][157090] Loss_D: -0.019849 Loss_G: 0.013349 Loss_D_real: -0.014974 Loss_D_fake 0.004875
[1522/5000][290/535][157091] Loss_D: -0.018949 Loss_G: 0.008887 Loss_D_real: -0.007912 Loss_D_fake 0.011038
[1522/5000][295/535][157092] Loss_D: -0.019484 Loss_G: -0.006176 Loss_D_real: -0.006408 Loss_D_fake 0.013075
[1522/5000][300/535][157093] Loss_D: -0.019633 Loss_G: 0.014943 Loss_D_real: -0.025760 Loss_D_fake -0.006127
[1522/5000][305/535][157094] Loss_D: -0.019492 Loss_G: 0.017021 Loss_D_real: -0.027918 Loss_D_fake -0.008426
[1522/5000][310/535][157095] Loss_D: -0.020076 Loss_G: 0.022557 Loss_D_real: -0.025550 Loss_D_fake -0.005475
[1522/5000][315/535][157096] Loss_D: -0.019305 Loss_G: 0.022766 Loss_D_real: -0.032562 Loss_D_fake -0.013257
[1522/5000][320/535][157097] Loss_D: -0.020720 Loss_G: 0.000972 Loss_D_real: -0.018489 Loss_D_fake 0.002231
[1522/5000][325/535][157098] Loss_D: -0.018065 Loss_G: 0.011567 Loss_D_real: -0.014242 Loss_D_fake 0.003823
[1522/5000][330/535][157099] Loss_D: -0.020176 Loss_G: -0.001938 Loss_D_real: -0.007485 Loss_D_fake 0.012691
[1522/5000][335/535][157100] Loss_D: -0.018672 Loss_G: 0.016971 Loss_D_real: -0.026913 Loss_D_fake -0.008241
[1522/5000][340/535][157101] Loss_D: -0.019809 Loss_G: 0.004427 Loss_D_real: -0.022819 Loss_D_fake -0.003010
[1522/5000][345/535][157102] Loss_D: -0.018159 Loss_G: -0.007108 Loss_D_real: -0.008243 Loss_D_fake 0.009916
[1522/5000][350/535][157103] Loss_D: -0.019408 Loss_G: -0.006438 Loss_D_real: -0.001314 Loss_D_fake 0.018095
[1522/5000][355/535][157104] Loss_D: -0.020208 Loss_G: 0.008964 Loss_D_real: -0.007641 Loss_D_fake 0.012567
[1522/5000][360/535][157105] Loss_D: -0.020027 Loss_G: 0.017664 Loss_D_real: -0.034393 Loss_D_fake -0.014367
[1522/5000][365/535][157106] Loss_D: -0.019986 Loss_G: -0.007310 Loss_D_real: -0.006158 Loss_D_fake 0.013828
[1522/5000][370/535][157107] Loss_D: -0.018673 Loss_G: 0.009950 Loss_D_real: -0.020835 Loss_D_fake -0.002162
[1522/5000][375/535][157108] Loss_D: -0.020897 Loss_G: 0.018679 Loss_D_real: -0.023400 Loss_D_fake -0.002503
[1522/5000][380/535][157109] Loss_D: -0.019508 Loss_G: 0.009215 Loss_D_real: -0.017117 Loss_D_fake 0.002391
[1522/5000][385/535][157110] Loss_D: -0.018473 Loss_G: 0.013479 Loss_D_real: -0.023202 Loss_D_fake -0.004729
[1522/5000][390/535][157111] Loss_D: -0.018939 Loss_G: 0.000632 Loss_D_real: -0.014342 Loss_D_fake 0.004598
[1522/5000][395/535][157112] Loss_D: -0.020539 Loss_G: 0.012262 Loss_D_real: -0.005157 Loss_D_fake 0.015382
[1522/5000][400/535][157113] Loss_D: -0.018828 Loss_G: -0.004439 Loss_D_real: -0.016417 Loss_D_fake 0.002411
[1522/5000][405/535][157114] Loss_D: -0.018832 Loss_G: 0.021964 Loss_D_real: -0.022539 Loss_D_fake -0.003707
[1522/5000][410/535][157115] Loss_D: -0.019300 Loss_G: 0.011077 Loss_D_real: -0.011532 Loss_D_fake 0.007768
[1522/5000][415/535][157116] Loss_D: -0.018697 Loss_G: 0.010435 Loss_D_real: -0.018493 Loss_D_fake 0.000204
[1522/5000][420/535][157117] Loss_D: -0.019162 Loss_G: -0.011187 Loss_D_real: -0.000394 Loss_D_fake 0.018768
[1522/5000][425/535][157118] Loss_D: -0.019930 Loss_G: 0.033233 Loss_D_real: -0.030679 Loss_D_fake -0.010750
[1522/5000][430/535][157119] Loss_D: -0.018000 Loss_G: 0.000546 Loss_D_real: -0.026294 Loss_D_fake -0.008294
[1522/5000][435/535][157120] Loss_D: -0.018859 Loss_G: 0.005289 Loss_D_real: -0.020035 Loss_D_fake -0.001175
[1522/5000][440/535][157121] Loss_D: -0.020533 Loss_G: -0.001366 Loss_D_real: -0.014636 Loss_D_fake 0.005897
[1522/5000][445/535][157122] Loss_D: -0.021307 Loss_G: 0.027395 Loss_D_real: -0.008007 Loss_D_fake 0.013299
[1522/5000][450/535][157123] Loss_D: -0.020199 Loss_G: 0.013918 Loss_D_real: -0.024713 Loss_D_fake -0.004514
[1522/5000][455/535][157124] Loss_D: -0.020503 Loss_G: 0.008261 Loss_D_real: -0.014740 Loss_D_fake 0.005763
[1522/5000][460/535][157125] Loss_D: -0.019122 Loss_G: 0.011153 Loss_D_real: -0.028826 Loss_D_fake -0.009704
[1522/5000][465/535][157126] Loss_D: -0.019870 Loss_G: 0.019124 Loss_D_real: -0.020513 Loss_D_fake -0.000643
[1522/5000][470/535][157127] Loss_D: -0.018913 Loss_G: 0.025452 Loss_D_real: -0.028211 Loss_D_fake -0.009298
[1522/5000][475/535][157128] Loss_D: -0.021131 Loss_G: -0.011017 Loss_D_real: -0.000118 Loss_D_fake 0.021012
[1522/5000][480/535][157129] Loss_D: -0.018315 Loss_G: 0.020606 Loss_D_real: -0.025410 Loss_D_fake -0.007094
[1522/5000][485/535][157130] Loss_D: -0.020952 Loss_G: -0.005904 Loss_D_real: -0.010992 Loss_D_fake 0.009960
[1522/5000][490/535][157131] Loss_D: -0.021252 Loss_G: 0.007735 Loss_D_real: -0.018803 Loss_D_fake 0.002449
[1522/5000][495/535][157132] Loss_D: -0.020571 Loss_G: -0.000755 Loss_D_real: -0.011694 Loss_D_fake 0.008877
[1522/5000][500/535][157133] Loss_D: -0.019269 Loss_G: 0.012081 Loss_D_real: -0.015659 Loss_D_fake 0.003611
[1522/5000][505/535][157134] Loss_D: -0.019378 Loss_G: 0.017590 Loss_D_real: -0.029076 Loss_D_fake -0.009697
[1522/5000][510/535][157135] Loss_D: -0.020838 Loss_G: 0.007630 Loss_D_real: -0.011892 Loss_D_fake 0.008946
[1522/5000][515/535][157136] Loss_D: -0.020721 Loss_G: -0.010538 Loss_D_real: -0.002837 Loss_D_fake 0.017883
[1522/5000][520/535][157137] Loss_D: -0.019548 Loss_G: 0.020945 Loss_D_real: -0.023465 Loss_D_fake -0.003917
[1522/5000][525/535][157138] Loss_D: -0.019689 Loss_G: 0.005326 Loss_D_real: 0.001898 Loss_D_fake 0.021587
[1522/5000][530/535][157139] Loss_D: -0.019696 Loss_G: 0.018184 Loss_D_real: -0.022230 Loss_D_fake -0.002534
[1522/5000][535/535][157140] Loss_D: -0.019297 Loss_G: -0.018017 Loss_D_real: -0.016110 Loss_D_fake 0.003187
[1523/5000][5/535][157141] Loss_D: -0.017072 Loss_G: 0.028116 Loss_D_real: -0.035218 Loss_D_fake -0.018146
[1523/5000][10/535][157142] Loss_D: -0.019575 Loss_G: 0.015542 Loss_D_real: -0.034034 Loss_D_fake -0.014459
[1523/5000][15/535][157143] Loss_D: -0.021508 Loss_G: 0.006890 Loss_D_real: -0.007148 Loss_D_fake 0.014361
[1523/5000][20/535][157144] Loss_D: -0.019553 Loss_G: 0.013480 Loss_D_real: -0.015678 Loss_D_fake 0.003875
[1523/5000][25/535][157145] Loss_D: -0.019420 Loss_G: -0.000558 Loss_D_real: -0.000908 Loss_D_fake 0.018512
[1523/5000][30/535][157146] Loss_D: -0.019707 Loss_G: 0.010432 Loss_D_real: -0.013109 Loss_D_fake 0.006597
[1523/5000][35/535][157147] Loss_D: -0.019725 Loss_G: -0.012119 Loss_D_real: -0.016609 Loss_D_fake 0.003116
[1523/5000][40/535][157148] Loss_D: -0.018760 Loss_G: 0.000191 Loss_D_real: -0.001658 Loss_D_fake 0.017102
[1523/5000][45/535][157149] Loss_D: -0.020042 Loss_G: 0.010257 Loss_D_real: -0.019383 Loss_D_fake 0.000659
[1523/5000][50/535][157150] Loss_D: -0.019012 Loss_G: 0.000740 Loss_D_real: -0.010183 Loss_D_fake 0.008830
[1523/5000][55/535][157151] Loss_D: -0.019895 Loss_G: 0.009169 Loss_D_real: -0.012252 Loss_D_fake 0.007643
[1523/5000][60/535][157152] Loss_D: -0.019036 Loss_G: 0.007760 Loss_D_real: -0.017933 Loss_D_fake 0.001103
[1523/5000][65/535][157153] Loss_D: -0.019265 Loss_G: 0.000628 Loss_D_real: -0.004818 Loss_D_fake 0.014447
[1523/5000][70/535][157154] Loss_D: -0.019232 Loss_G: 0.024887 Loss_D_real: -0.024132 Loss_D_fake -0.004901
[1523/5000][75/535][157155] Loss_D: -0.019280 Loss_G: 0.001495 Loss_D_real: -0.003158 Loss_D_fake 0.016122
[1523/5000][80/535][157156] Loss_D: -0.020052 Loss_G: 0.007982 Loss_D_real: -0.016367 Loss_D_fake 0.003685
[1523/5000][85/535][157157] Loss_D: -0.018974 Loss_G: 0.008529 Loss_D_real: -0.019471 Loss_D_fake -0.000497
[1523/5000][90/535][157158] Loss_D: -0.019929 Loss_G: 0.000903 Loss_D_real: -0.022892 Loss_D_fake -0.002963
[1523/5000][95/535][157159] Loss_D: -0.019572 Loss_G: 0.000308 Loss_D_real: -0.020492 Loss_D_fake -0.000920
[1523/5000][100/535][157160] Loss_D: -0.019257 Loss_G: 0.012168 Loss_D_real: -0.014172 Loss_D_fake 0.005085
[1523/5000][105/535][157161] Loss_D: -0.020942 Loss_G: 0.008742 Loss_D_real: 0.001635 Loss_D_fake 0.022577
[1523/5000][110/535][157162] Loss_D: -0.019648 Loss_G: 0.017240 Loss_D_real: -0.018458 Loss_D_fake 0.001190
[1523/5000][115/535][157163] Loss_D: -0.019565 Loss_G: -0.000483 Loss_D_real: -0.014999 Loss_D_fake 0.004566
[1523/5000][120/535][157164] Loss_D: -0.019474 Loss_G: 0.011556 Loss_D_real: -0.016561 Loss_D_fake 0.002914
[1523/5000][125/535][157165] Loss_D: -0.021594 Loss_G: -0.000784 Loss_D_real: -0.009617 Loss_D_fake 0.011977
[1523/5000][130/535][157166] Loss_D: -0.019604 Loss_G: -0.010027 Loss_D_real: -0.000275 Loss_D_fake 0.019328
[1523/5000][135/535][157167] Loss_D: -0.019337 Loss_G: 0.012898 Loss_D_real: -0.019513 Loss_D_fake -0.000176
[1523/5000][140/535][157168] Loss_D: -0.020062 Loss_G: 0.002507 Loss_D_real: -0.015026 Loss_D_fake 0.005036
[1523/5000][145/535][157169] Loss_D: -0.020275 Loss_G: 0.006909 Loss_D_real: -0.020968 Loss_D_fake -0.000692
[1523/5000][150/535][157170] Loss_D: -0.020663 Loss_G: 0.011514 Loss_D_real: -0.012618 Loss_D_fake 0.008045
[1523/5000][155/535][157171] Loss_D: -0.019632 Loss_G: 0.017610 Loss_D_real: -0.029542 Loss_D_fake -0.009910
[1523/5000][160/535][157172] Loss_D: -0.019987 Loss_G: 0.023638 Loss_D_real: -0.017519 Loss_D_fake 0.002469
[1523/5000][165/535][157173] Loss_D: -0.020167 Loss_G: -0.000170 Loss_D_real: -0.018108 Loss_D_fake 0.002059
[1523/5000][170/535][157174] Loss_D: -0.020061 Loss_G: 0.025537 Loss_D_real: -0.012917 Loss_D_fake 0.007144
[1523/5000][175/535][157175] Loss_D: -0.020709 Loss_G: 0.002039 Loss_D_real: -0.021150 Loss_D_fake -0.000441
[1523/5000][180/535][157176] Loss_D: -0.018315 Loss_G: 0.025785 Loss_D_real: -0.021293 Loss_D_fake -0.002978
[1523/5000][185/535][157177] Loss_D: -0.019344 Loss_G: -0.004964 Loss_D_real: -0.018065 Loss_D_fake 0.001280
[1523/5000][190/535][157178] Loss_D: -0.019736 Loss_G: 0.015013 Loss_D_real: -0.031380 Loss_D_fake -0.011644
[1523/5000][195/535][157179] Loss_D: -0.022584 Loss_G: 0.004879 Loss_D_real: -0.004807 Loss_D_fake 0.017777
[1523/5000][200/535][157180] Loss_D: -0.019599 Loss_G: -0.010292 Loss_D_real: -0.011715 Loss_D_fake 0.007885
[1523/5000][205/535][157181] Loss_D: -0.019740 Loss_G: 0.002983 Loss_D_real: -0.020658 Loss_D_fake -0.000918
[1523/5000][210/535][157182] Loss_D: -0.021087 Loss_G: 0.010594 Loss_D_real: -0.015765 Loss_D_fake 0.005322
[1523/5000][215/535][157183] Loss_D: -0.020679 Loss_G: 0.008226 Loss_D_real: -0.009064 Loss_D_fake 0.011615
[1523/5000][220/535][157184] Loss_D: -0.019520 Loss_G: -0.006143 Loss_D_real: -0.018819 Loss_D_fake 0.000700
[1523/5000][225/535][157185] Loss_D: -0.020046 Loss_G: 0.014048 Loss_D_real: -0.016955 Loss_D_fake 0.003091
[1523/5000][230/535][157186] Loss_D: -0.018952 Loss_G: 0.024720 Loss_D_real: -0.014771 Loss_D_fake 0.004181
[1523/5000][235/535][157187] Loss_D: -0.021573 Loss_G: 0.011360 Loss_D_real: -0.009550 Loss_D_fake 0.012023
[1523/5000][240/535][157188] Loss_D: -0.020146 Loss_G: 0.012622 Loss_D_real: -0.013857 Loss_D_fake 0.006289
[1523/5000][245/535][157189] Loss_D: -0.019207 Loss_G: 0.023511 Loss_D_real: -0.034218 Loss_D_fake -0.015011
[1523/5000][250/535][157190] Loss_D: -0.019806 Loss_G: 0.009766 Loss_D_real: -0.027311 Loss_D_fake -0.007506
[1523/5000][255/535][157191] Loss_D: -0.019881 Loss_G: 0.032367 Loss_D_real: -0.027860 Loss_D_fake -0.007979
[1523/5000][260/535][157192] Loss_D: -0.019765 Loss_G: 0.019305 Loss_D_real: -0.022294 Loss_D_fake -0.002529
[1523/5000][265/535][157193] Loss_D: -0.020429 Loss_G: 0.007980 Loss_D_real: -0.015819 Loss_D_fake 0.004609
[1523/5000][270/535][157194] Loss_D: -0.021231 Loss_G: 0.001888 Loss_D_real: -0.021671 Loss_D_fake -0.000440
[1523/5000][275/535][157195] Loss_D: -0.019448 Loss_G: 0.023611 Loss_D_real: -0.024997 Loss_D_fake -0.005548
[1523/5000][280/535][157196] Loss_D: -0.020589 Loss_G: 0.002595 Loss_D_real: -0.011519 Loss_D_fake 0.009069
[1523/5000][285/535][157197] Loss_D: -0.019714 Loss_G: -0.013275 Loss_D_real: -0.001550 Loss_D_fake 0.018163
[1523/5000][290/535][157198] Loss_D: -0.019860 Loss_G: 0.013061 Loss_D_real: -0.004453 Loss_D_fake 0.015407
[1523/5000][295/535][157199] Loss_D: -0.020115 Loss_G: 0.020162 Loss_D_real: -0.015943 Loss_D_fake 0.004173
[1523/5000][300/535][157200] Loss_D: -0.018158 Loss_G: 0.032368 Loss_D_real: -0.024828 Loss_D_fake -0.006670
[1523/5000][305/535][157201] Loss_D: -0.019415 Loss_G: 0.006716 Loss_D_real: -0.015253 Loss_D_fake 0.004162
[1523/5000][310/535][157202] Loss_D: -0.017568 Loss_G: 0.007422 Loss_D_real: -0.018642 Loss_D_fake -0.001073
[1523/5000][315/535][157203] Loss_D: -0.018861 Loss_G: 0.021279 Loss_D_real: -0.030310 Loss_D_fake -0.011449
[1523/5000][320/535][157204] Loss_D: -0.020609 Loss_G: 0.009931 Loss_D_real: -0.007339 Loss_D_fake 0.013270
[1523/5000][325/535][157205] Loss_D: -0.019442 Loss_G: 0.004979 Loss_D_real: -0.015790 Loss_D_fake 0.003652
[1523/5000][330/535][157206] Loss_D: -0.019777 Loss_G: 0.004435 Loss_D_real: -0.007056 Loss_D_fake 0.012721
[1523/5000][335/535][157207] Loss_D: -0.019229 Loss_G: 0.015795 Loss_D_real: -0.026954 Loss_D_fake -0.007725
[1523/5000][340/535][157208] Loss_D: -0.019342 Loss_G: -0.003499 Loss_D_real: -0.011102 Loss_D_fake 0.008240
[1523/5000][345/535][157209] Loss_D: -0.019318 Loss_G: 0.008638 Loss_D_real: -0.020447 Loss_D_fake -0.001129
[1523/5000][350/535][157210] Loss_D: -0.018564 Loss_G: 0.028880 Loss_D_real: -0.029509 Loss_D_fake -0.010945
[1523/5000][355/535][157211] Loss_D: -0.019613 Loss_G: 0.000156 Loss_D_real: -0.011178 Loss_D_fake 0.008436
[1523/5000][360/535][157212] Loss_D: -0.020480 Loss_G: 0.005156 Loss_D_real: -0.013788 Loss_D_fake 0.006692
[1523/5000][365/535][157213] Loss_D: -0.018829 Loss_G: -0.009908 Loss_D_real: -0.013441 Loss_D_fake 0.005388
[1523/5000][370/535][157214] Loss_D: -0.018529 Loss_G: 0.005288 Loss_D_real: -0.011594 Loss_D_fake 0.006934
[1523/5000][375/535][157215] Loss_D: -0.018937 Loss_G: -0.012816 Loss_D_real: -0.014084 Loss_D_fake 0.004853
[1523/5000][380/535][157216] Loss_D: -0.019261 Loss_G: 0.022872 Loss_D_real: -0.021258 Loss_D_fake -0.001997
[1523/5000][385/535][157217] Loss_D: -0.019289 Loss_G: 0.003835 Loss_D_real: -0.026690 Loss_D_fake -0.007401
[1523/5000][390/535][157218] Loss_D: -0.020033 Loss_G: 0.012337 Loss_D_real: -0.009042 Loss_D_fake 0.010991
[1523/5000][395/535][157219] Loss_D: -0.019248 Loss_G: 0.008073 Loss_D_real: -0.009979 Loss_D_fake 0.009269
[1523/5000][400/535][157220] Loss_D: -0.019988 Loss_G: 0.002893 Loss_D_real: -0.011647 Loss_D_fake 0.008341
[1523/5000][405/535][157221] Loss_D: -0.019207 Loss_G: -0.001170 Loss_D_real: -0.005373 Loss_D_fake 0.013835
[1523/5000][410/535][157222] Loss_D: -0.019261 Loss_G: 0.003359 Loss_D_real: -0.017697 Loss_D_fake 0.001564
[1523/5000][415/535][157223] Loss_D: -0.019282 Loss_G: 0.018950 Loss_D_real: -0.026740 Loss_D_fake -0.007458
[1523/5000][420/535][157224] Loss_D: -0.020086 Loss_G: 0.024648 Loss_D_real: -0.024227 Loss_D_fake -0.004141
[1523/5000][425/535][157225] Loss_D: -0.019587 Loss_G: -0.004333 Loss_D_real: -0.005256 Loss_D_fake 0.014331
[1523/5000][430/535][157226] Loss_D: -0.020370 Loss_G: 0.015300 Loss_D_real: -0.018590 Loss_D_fake 0.001779
[1523/5000][435/535][157227] Loss_D: -0.019504 Loss_G: -0.008663 Loss_D_real: -0.008878 Loss_D_fake 0.010626
[1523/5000][440/535][157228] Loss_D: -0.020186 Loss_G: 0.009314 Loss_D_real: -0.017224 Loss_D_fake 0.002962
[1523/5000][445/535][157229] Loss_D: -0.019782 Loss_G: 0.010038 Loss_D_real: -0.030228 Loss_D_fake -0.010447
[1523/5000][450/535][157230] Loss_D: -0.020759 Loss_G: -0.004944 Loss_D_real: -0.006388 Loss_D_fake 0.014372
[1523/5000][455/535][157231] Loss_D: -0.017554 Loss_G: 0.010308 Loss_D_real: -0.001064 Loss_D_fake 0.016490
[1523/5000][460/535][157232] Loss_D: -0.019384 Loss_G: 0.009515 Loss_D_real: -0.011621 Loss_D_fake 0.007763
[1523/5000][465/535][157233] Loss_D: -0.019635 Loss_G: 0.014918 Loss_D_real: -0.022282 Loss_D_fake -0.002647
[1523/5000][470/535][157234] Loss_D: -0.019275 Loss_G: 0.019560 Loss_D_real: -0.028805 Loss_D_fake -0.009530
[1523/5000][475/535][157235] Loss_D: -0.017918 Loss_G: 0.017482 Loss_D_real: -0.031254 Loss_D_fake -0.013336
[1523/5000][480/535][157236] Loss_D: -0.019934 Loss_G: 0.006335 Loss_D_real: -0.015208 Loss_D_fake 0.004726
[1523/5000][485/535][157237] Loss_D: -0.018281 Loss_G: 0.019957 Loss_D_real: -0.032956 Loss_D_fake -0.014675
[1523/5000][490/535][157238] Loss_D: -0.019991 Loss_G: 0.001186 Loss_D_real: -0.010330 Loss_D_fake 0.009660
[1523/5000][495/535][157239] Loss_D: -0.020122 Loss_G: 0.012672 Loss_D_real: -0.011766 Loss_D_fake 0.008357
[1523/5000][500/535][157240] Loss_D: -0.021279 Loss_G: 0.004015 Loss_D_real: -0.020963 Loss_D_fake 0.000316
[1523/5000][505/535][157241] Loss_D: -0.019919 Loss_G: 0.026209 Loss_D_real: -0.021460 Loss_D_fake -0.001541
[1523/5000][510/535][157242] Loss_D: -0.018666 Loss_G: 0.018923 Loss_D_real: -0.028416 Loss_D_fake -0.009750
[1523/5000][515/535][157243] Loss_D: -0.020270 Loss_G: 0.020159 Loss_D_real: -0.009100 Loss_D_fake 0.011170
[1523/5000][520/535][157244] Loss_D: -0.019503 Loss_G: 0.016858 Loss_D_real: -0.033963 Loss_D_fake -0.014460
[1523/5000][525/535][157245] Loss_D: -0.019485 Loss_G: 0.005877 Loss_D_real: -0.023852 Loss_D_fake -0.004367
[1523/5000][530/535][157246] Loss_D: -0.021738 Loss_G: -0.006653 Loss_D_real: -0.016149 Loss_D_fake 0.005589
[1523/5000][535/535][157247] Loss_D: -0.019729 Loss_G: 0.039650 Loss_D_real: -0.025513 Loss_D_fake -0.005784
[1524/5000][5/535][157248] Loss_D: -0.019195 Loss_G: -0.008848 Loss_D_real: -0.013750 Loss_D_fake 0.005445
[1524/5000][10/535][157249] Loss_D: -0.019275 Loss_G: 0.020091 Loss_D_real: -0.022498 Loss_D_fake -0.003223
[1524/5000][15/535][157250] Loss_D: -0.019564 Loss_G: -0.004551 Loss_D_real: -0.004852 Loss_D_fake 0.014713
[1524/5000][20/535][157251] Loss_D: -0.018398 Loss_G: 0.020961 Loss_D_real: -0.024391 Loss_D_fake -0.005993
[1524/5000][25/535][157252] Loss_D: -0.019332 Loss_G: 0.014404 Loss_D_real: -0.019152 Loss_D_fake 0.000180
[1524/5000][30/535][157253] Loss_D: -0.018675 Loss_G: 0.007448 Loss_D_real: -0.019541 Loss_D_fake -0.000867
[1524/5000][35/535][157254] Loss_D: -0.019832 Loss_G: 0.017250 Loss_D_real: -0.021129 Loss_D_fake -0.001297
[1524/5000][40/535][157255] Loss_D: -0.019775 Loss_G: 0.016789 Loss_D_real: -0.020358 Loss_D_fake -0.000583
[1524/5000][45/535][157256] Loss_D: -0.020756 Loss_G: 0.001777 Loss_D_real: -0.024573 Loss_D_fake -0.003817
[1524/5000][50/535][157257] Loss_D: -0.020151 Loss_G: 0.003745 Loss_D_real: -0.007721 Loss_D_fake 0.012430
[1524/5000][55/535][157258] Loss_D: -0.020085 Loss_G: 0.016304 Loss_D_real: -0.028897 Loss_D_fake -0.008812
[1524/5000][60/535][157259] Loss_D: -0.021156 Loss_G: -0.013468 Loss_D_real: 0.000490 Loss_D_fake 0.021646
[1524/5000][65/535][157260] Loss_D: -0.020657 Loss_G: 0.001364 Loss_D_real: -0.017006 Loss_D_fake 0.003651
[1524/5000][70/535][157261] Loss_D: -0.020081 Loss_G: 0.012112 Loss_D_real: -0.017994 Loss_D_fake 0.002087
[1524/5000][75/535][157262] Loss_D: -0.019899 Loss_G: 0.003187 Loss_D_real: -0.015724 Loss_D_fake 0.004175
[1524/5000][80/535][157263] Loss_D: -0.019745 Loss_G: -0.002427 Loss_D_real: 0.004981 Loss_D_fake 0.024726
[1524/5000][85/535][157264] Loss_D: -0.019328 Loss_G: 0.018213 Loss_D_real: -0.021433 Loss_D_fake -0.002105
[1524/5000][90/535][157265] Loss_D: -0.020785 Loss_G: 0.007031 Loss_D_real: -0.024405 Loss_D_fake -0.003620
[1524/5000][95/535][157266] Loss_D: -0.019943 Loss_G: 0.016314 Loss_D_real: -0.026178 Loss_D_fake -0.006235
[1524/5000][100/535][157267] Loss_D: -0.019844 Loss_G: 0.017303 Loss_D_real: -0.027121 Loss_D_fake -0.007277
[1524/5000][105/535][157268] Loss_D: -0.020038 Loss_G: -0.009431 Loss_D_real: -0.004995 Loss_D_fake 0.015043
[1524/5000][110/535][157269] Loss_D: -0.020257 Loss_G: 0.024511 Loss_D_real: -0.026616 Loss_D_fake -0.006359
[1524/5000][115/535][157270] Loss_D: -0.019811 Loss_G: 0.002142 Loss_D_real: -0.015361 Loss_D_fake 0.004450
[1524/5000][120/535][157271] Loss_D: -0.018665 Loss_G: 0.019067 Loss_D_real: -0.027384 Loss_D_fake -0.008719
[1524/5000][125/535][157272] Loss_D: -0.020675 Loss_G: 0.011696 Loss_D_real: -0.016653 Loss_D_fake 0.004022
[1524/5000][130/535][157273] Loss_D: -0.020331 Loss_G: -0.003571 Loss_D_real: -0.007145 Loss_D_fake 0.013186
[1524/5000][135/535][157274] Loss_D: -0.020248 Loss_G: -0.002959 Loss_D_real: -0.017776 Loss_D_fake 0.002471
[1524/5000][140/535][157275] Loss_D: -0.019087 Loss_G: 0.013847 Loss_D_real: -0.029077 Loss_D_fake -0.009991
[1524/5000][145/535][157276] Loss_D: -0.020144 Loss_G: 0.006913 Loss_D_real: -0.004528 Loss_D_fake 0.015616
[1524/5000][150/535][157277] Loss_D: -0.019345 Loss_G: -0.007278 Loss_D_real: -0.001420 Loss_D_fake 0.017925
[1524/5000][155/535][157278] Loss_D: -0.020602 Loss_G: 0.012207 Loss_D_real: -0.022078 Loss_D_fake -0.001476
[1524/5000][160/535][157279] Loss_D: -0.019148 Loss_G: -0.003795 Loss_D_real: -0.004880 Loss_D_fake 0.014268
[1524/5000][165/535][157280] Loss_D: -0.017939 Loss_G: 0.021300 Loss_D_real: -0.026286 Loss_D_fake -0.008348
[1524/5000][170/535][157281] Loss_D: -0.019799 Loss_G: -0.001599 Loss_D_real: -0.001886 Loss_D_fake 0.017913
[1524/5000][175/535][157282] Loss_D: -0.018959 Loss_G: 0.002558 Loss_D_real: -0.007476 Loss_D_fake 0.011483
[1524/5000][180/535][157283] Loss_D: -0.019233 Loss_G: 0.017683 Loss_D_real: -0.020891 Loss_D_fake -0.001659
[1524/5000][185/535][157284] Loss_D: -0.019138 Loss_G: 0.013480 Loss_D_real: -0.019093 Loss_D_fake 0.000044
[1524/5000][190/535][157285] Loss_D: -0.019501 Loss_G: 0.008691 Loss_D_real: -0.006820 Loss_D_fake 0.012681
[1524/5000][195/535][157286] Loss_D: -0.018263 Loss_G: -0.000777 Loss_D_real: -0.019986 Loss_D_fake -0.001723
[1524/5000][200/535][157287] Loss_D: -0.020148 Loss_G: 0.005680 Loss_D_real: -0.007714 Loss_D_fake 0.012435
[1524/5000][205/535][157288] Loss_D: -0.018741 Loss_G: 0.018009 Loss_D_real: -0.041930 Loss_D_fake -0.023188
[1524/5000][210/535][157289] Loss_D: -0.018643 Loss_G: 0.008255 Loss_D_real: -0.011400 Loss_D_fake 0.007243
[1524/5000][215/535][157290] Loss_D: -0.019824 Loss_G: 0.013344 Loss_D_real: -0.026211 Loss_D_fake -0.006386
[1524/5000][220/535][157291] Loss_D: -0.019183 Loss_G: 0.003620 Loss_D_real: -0.011852 Loss_D_fake 0.007332
[1524/5000][225/535][157292] Loss_D: -0.018802 Loss_G: 0.018005 Loss_D_real: -0.026357 Loss_D_fake -0.007555
[1524/5000][230/535][157293] Loss_D: -0.018556 Loss_G: 0.019599 Loss_D_real: -0.027355 Loss_D_fake -0.008798
[1524/5000][235/535][157294] Loss_D: -0.019145 Loss_G: -0.018519 Loss_D_real: 0.000147 Loss_D_fake 0.019292
[1524/5000][240/535][157295] Loss_D: -0.020224 Loss_G: 0.002609 Loss_D_real: -0.001157 Loss_D_fake 0.019067
[1524/5000][245/535][157296] Loss_D: -0.019631 Loss_G: -0.006942 Loss_D_real: -0.011081 Loss_D_fake 0.008550
[1524/5000][250/535][157297] Loss_D: -0.017803 Loss_G: -0.018211 Loss_D_real: 0.004611 Loss_D_fake 0.022414
[1524/5000][255/535][157298] Loss_D: -0.020062 Loss_G: 0.006733 Loss_D_real: -0.003931 Loss_D_fake 0.016132
[1524/5000][260/535][157299] Loss_D: -0.019665 Loss_G: -0.009880 Loss_D_real: -0.003129 Loss_D_fake 0.016536
[1524/5000][265/535][157300] Loss_D: -0.018868 Loss_G: 0.014336 Loss_D_real: -0.018734 Loss_D_fake 0.000134
[1524/5000][270/535][157301] Loss_D: -0.020253 Loss_G: 0.010575 Loss_D_real: -0.010589 Loss_D_fake 0.009664
[1524/5000][275/535][157302] Loss_D: -0.019736 Loss_G: 0.017181 Loss_D_real: -0.023658 Loss_D_fake -0.003922
[1524/5000][280/535][157303] Loss_D: -0.019746 Loss_G: -0.000288 Loss_D_real: -0.011824 Loss_D_fake 0.007922
[1524/5000][285/535][157304] Loss_D: -0.020562 Loss_G: 0.008623 Loss_D_real: -0.023289 Loss_D_fake -0.002727
[1524/5000][290/535][157305] Loss_D: -0.022235 Loss_G: -0.004671 Loss_D_real: -0.017936 Loss_D_fake 0.004299
[1524/5000][295/535][157306] Loss_D: -0.020179 Loss_G: 0.012447 Loss_D_real: -0.021554 Loss_D_fake -0.001375
[1524/5000][300/535][157307] Loss_D: -0.022176 Loss_G: 0.007241 Loss_D_real: -0.007957 Loss_D_fake 0.014219
[1524/5000][305/535][157308] Loss_D: -0.018974 Loss_G: 0.023556 Loss_D_real: -0.023511 Loss_D_fake -0.004537
[1524/5000][310/535][157309] Loss_D: -0.021208 Loss_G: 0.015674 Loss_D_real: -0.010858 Loss_D_fake 0.010350
[1524/5000][315/535][157310] Loss_D: -0.020616 Loss_G: 0.021998 Loss_D_real: -0.024746 Loss_D_fake -0.004130
[1524/5000][320/535][157311] Loss_D: -0.020911 Loss_G: -0.007551 Loss_D_real: -0.008956 Loss_D_fake 0.011955
[1524/5000][325/535][157312] Loss_D: -0.021400 Loss_G: 0.012077 Loss_D_real: -0.018038 Loss_D_fake 0.003362
[1524/5000][330/535][157313] Loss_D: -0.019732 Loss_G: -0.006142 Loss_D_real: 0.007559 Loss_D_fake 0.027291
[1524/5000][335/535][157314] Loss_D: -0.017866 Loss_G: -0.017356 Loss_D_real: -0.006812 Loss_D_fake 0.011054
[1524/5000][340/535][157315] Loss_D: -0.020237 Loss_G: 0.010950 Loss_D_real: -0.024577 Loss_D_fake -0.004340
[1524/5000][345/535][157316] Loss_D: -0.018516 Loss_G: 0.023225 Loss_D_real: -0.024955 Loss_D_fake -0.006439
[1524/5000][350/535][157317] Loss_D: -0.021045 Loss_G: 0.000441 Loss_D_real: -0.001954 Loss_D_fake 0.019091
[1524/5000][355/535][157318] Loss_D: -0.019803 Loss_G: 0.016740 Loss_D_real: -0.013275 Loss_D_fake 0.006528
[1524/5000][360/535][157319] Loss_D: -0.018328 Loss_G: 0.025863 Loss_D_real: -0.035024 Loss_D_fake -0.016696
[1524/5000][365/535][157320] Loss_D: -0.019373 Loss_G: 0.011593 Loss_D_real: -0.022630 Loss_D_fake -0.003257
[1524/5000][370/535][157321] Loss_D: -0.020074 Loss_G: 0.011417 Loss_D_real: -0.027465 Loss_D_fake -0.007391
[1524/5000][375/535][157322] Loss_D: -0.018648 Loss_G: 0.026400 Loss_D_real: -0.023876 Loss_D_fake -0.005227
[1524/5000][380/535][157323] Loss_D: -0.018905 Loss_G: 0.018632 Loss_D_real: -0.018116 Loss_D_fake 0.000789
[1524/5000][385/535][157324] Loss_D: -0.020622 Loss_G: 0.012147 Loss_D_real: -0.016049 Loss_D_fake 0.004573
[1524/5000][390/535][157325] Loss_D: -0.020552 Loss_G: 0.014284 Loss_D_real: -0.027454 Loss_D_fake -0.006902
[1524/5000][395/535][157326] Loss_D: -0.018489 Loss_G: -0.025049 Loss_D_real: 0.001265 Loss_D_fake 0.019754
[1524/5000][400/535][157327] Loss_D: -0.019852 Loss_G: 0.002595 Loss_D_real: -0.019833 Loss_D_fake 0.000019
[1524/5000][405/535][157328] Loss_D: -0.019401 Loss_G: 0.002596 Loss_D_real: -0.019056 Loss_D_fake 0.000345
[1524/5000][410/535][157329] Loss_D: -0.020920 Loss_G: 0.000466 Loss_D_real: 0.004063 Loss_D_fake 0.024983
[1524/5000][415/535][157330] Loss_D: -0.017727 Loss_G: 0.018664 Loss_D_real: -0.029762 Loss_D_fake -0.012035
[1524/5000][420/535][157331] Loss_D: -0.019641 Loss_G: 0.004707 Loss_D_real: -0.008012 Loss_D_fake 0.011629
[1524/5000][425/535][157332] Loss_D: -0.019635 Loss_G: 0.007480 Loss_D_real: -0.019696 Loss_D_fake -0.000061
[1524/5000][430/535][157333] Loss_D: -0.021179 Loss_G: 0.005552 Loss_D_real: -0.010622 Loss_D_fake 0.010557
[1524/5000][435/535][157334] Loss_D: -0.021788 Loss_G: 0.019155 Loss_D_real: -0.013308 Loss_D_fake 0.008480
[1524/5000][440/535][157335] Loss_D: -0.020847 Loss_G: -0.008266 Loss_D_real: -0.016680 Loss_D_fake 0.004166
[1524/5000][445/535][157336] Loss_D: -0.019322 Loss_G: -0.004735 Loss_D_real: 0.004472 Loss_D_fake 0.023794
[1524/5000][450/535][157337] Loss_D: -0.019649 Loss_G: 0.022285 Loss_D_real: -0.029079 Loss_D_fake -0.009429
[1524/5000][455/535][157338] Loss_D: -0.019446 Loss_G: 0.015556 Loss_D_real: -0.022293 Loss_D_fake -0.002848
[1524/5000][460/535][157339] Loss_D: -0.019243 Loss_G: -0.011686 Loss_D_real: 0.001788 Loss_D_fake 0.021031
[1524/5000][465/535][157340] Loss_D: -0.018939 Loss_G: 0.026172 Loss_D_real: -0.025181 Loss_D_fake -0.006242
[1524/5000][470/535][157341] Loss_D: -0.020428 Loss_G: 0.020797 Loss_D_real: -0.032617 Loss_D_fake -0.012188
[1524/5000][475/535][157342] Loss_D: -0.019042 Loss_G: 0.006587 Loss_D_real: -0.014420 Loss_D_fake 0.004622
[1524/5000][480/535][157343] Loss_D: -0.019759 Loss_G: 0.025741 Loss_D_real: -0.029500 Loss_D_fake -0.009741
[1524/5000][485/535][157344] Loss_D: -0.019368 Loss_G: -0.009336 Loss_D_real: -0.003374 Loss_D_fake 0.015994
[1524/5000][490/535][157345] Loss_D: -0.019512 Loss_G: 0.003631 Loss_D_real: -0.014314 Loss_D_fake 0.005198
[1524/5000][495/535][157346] Loss_D: -0.019529 Loss_G: -0.007009 Loss_D_real: -0.002467 Loss_D_fake 0.017062
[1524/5000][500/535][157347] Loss_D: -0.019636 Loss_G: 0.010043 Loss_D_real: -0.023216 Loss_D_fake -0.003580
[1524/5000][505/535][157348] Loss_D: -0.019912 Loss_G: 0.000633 Loss_D_real: -0.020349 Loss_D_fake -0.000437
[1524/5000][510/535][157349] Loss_D: -0.020312 Loss_G: 0.012167 Loss_D_real: -0.022055 Loss_D_fake -0.001744
[1524/5000][515/535][157350] Loss_D: -0.018756 Loss_G: 0.032167 Loss_D_real: -0.024493 Loss_D_fake -0.005737
[1524/5000][520/535][157351] Loss_D: -0.018558 Loss_G: 0.010071 Loss_D_real: -0.025121 Loss_D_fake -0.006563
[1524/5000][525/535][157352] Loss_D: -0.019312 Loss_G: 0.010564 Loss_D_real: -0.017429 Loss_D_fake 0.001883
[1524/5000][530/535][157353] Loss_D: -0.019783 Loss_G: -0.004042 Loss_D_real: -0.011747 Loss_D_fake 0.008037
[1524/5000][535/535][157354] Loss_D: -0.017895 Loss_G: 0.037575 Loss_D_real: -0.016686 Loss_D_fake 0.001209
[1525/5000][5/535][157355] Loss_D: -0.017972 Loss_G: 0.001619 Loss_D_real: -0.006786 Loss_D_fake 0.011186
[1525/5000][10/535][157356] Loss_D: -0.019992 Loss_G: 0.006469 Loss_D_real: -0.020032 Loss_D_fake -0.000040
[1525/5000][15/535][157357] Loss_D: -0.019411 Loss_G: 0.017267 Loss_D_real: -0.018818 Loss_D_fake 0.000593
[1525/5000][20/535][157358] Loss_D: -0.017928 Loss_G: -0.010915 Loss_D_real: -0.009512 Loss_D_fake 0.008416
[1525/5000][25/535][157359] Loss_D: -0.019377 Loss_G: 0.016707 Loss_D_real: -0.020756 Loss_D_fake -0.001379
[1525/5000][30/535][157360] Loss_D: -0.020218 Loss_G: 0.007108 Loss_D_real: -0.016170 Loss_D_fake 0.004048
[1525/5000][35/535][157361] Loss_D: -0.020167 Loss_G: 0.000763 Loss_D_real: 0.001603 Loss_D_fake 0.021771
[1525/5000][40/535][157362] Loss_D: -0.021193 Loss_G: 0.001411 Loss_D_real: -0.016108 Loss_D_fake 0.005085
[1525/5000][45/535][157363] Loss_D: -0.020068 Loss_G: 0.018150 Loss_D_real: -0.021998 Loss_D_fake -0.001931
[1525/5000][50/535][157364] Loss_D: -0.019921 Loss_G: 0.000158 Loss_D_real: 0.000163 Loss_D_fake 0.020084
[1525/5000][55/535][157365] Loss_D: -0.020384 Loss_G: 0.018383 Loss_D_real: -0.016418 Loss_D_fake 0.003966
[1525/5000][60/535][157366] Loss_D: -0.018681 Loss_G: -0.010242 Loss_D_real: -0.002291 Loss_D_fake 0.016390
[1525/5000][65/535][157367] Loss_D: -0.019937 Loss_G: 0.011140 Loss_D_real: -0.024639 Loss_D_fake -0.004701
[1525/5000][70/535][157368] Loss_D: -0.020665 Loss_G: -0.009402 Loss_D_real: -0.014952 Loss_D_fake 0.005713
[1525/5000][75/535][157369] Loss_D: -0.020207 Loss_G: 0.009128 Loss_D_real: -0.021364 Loss_D_fake -0.001157
[1525/5000][80/535][157370] Loss_D: -0.019843 Loss_G: 0.003335 Loss_D_real: -0.002724 Loss_D_fake 0.017119
[1525/5000][85/535][157371] Loss_D: -0.020075 Loss_G: 0.002547 Loss_D_real: -0.018828 Loss_D_fake 0.001247
[1525/5000][90/535][157372] Loss_D: -0.020607 Loss_G: 0.004480 Loss_D_real: -0.010135 Loss_D_fake 0.010472
[1525/5000][95/535][157373] Loss_D: -0.019354 Loss_G: 0.012003 Loss_D_real: -0.010224 Loss_D_fake 0.009130
[1525/5000][100/535][157374] Loss_D: -0.021966 Loss_G: 0.005063 Loss_D_real: -0.022720 Loss_D_fake -0.000754
[1525/5000][105/535][157375] Loss_D: -0.019373 Loss_G: -0.006907 Loss_D_real: -0.000849 Loss_D_fake 0.018524
[1525/5000][110/535][157376] Loss_D: -0.021504 Loss_G: 0.005723 Loss_D_real: -0.012122 Loss_D_fake 0.009382
[1525/5000][115/535][157377] Loss_D: -0.019620 Loss_G: 0.000971 Loss_D_real: -0.011787 Loss_D_fake 0.007833
[1525/5000][120/535][157378] Loss_D: -0.017699 Loss_G: -0.014387 Loss_D_real: -0.013307 Loss_D_fake 0.004392
[1525/5000][125/535][157379] Loss_D: -0.019663 Loss_G: -0.008071 Loss_D_real: -0.009435 Loss_D_fake 0.010228
[1525/5000][130/535][157380] Loss_D: -0.019735 Loss_G: 0.006642 Loss_D_real: -0.012906 Loss_D_fake 0.006829
[1525/5000][135/535][157381] Loss_D: -0.018932 Loss_G: 0.007541 Loss_D_real: -0.012805 Loss_D_fake 0.006127
[1525/5000][140/535][157382] Loss_D: -0.018331 Loss_G: 0.015058 Loss_D_real: -0.013546 Loss_D_fake 0.004785
[1525/5000][145/535][157383] Loss_D: -0.020165 Loss_G: 0.010871 Loss_D_real: -0.013023 Loss_D_fake 0.007142
[1525/5000][150/535][157384] Loss_D: -0.020485 Loss_G: -0.005767 Loss_D_real: -0.003805 Loss_D_fake 0.016680
[1525/5000][155/535][157385] Loss_D: -0.019188 Loss_G: -0.013878 Loss_D_real: -0.009163 Loss_D_fake 0.010025
[1525/5000][160/535][157386] Loss_D: -0.019697 Loss_G: 0.007009 Loss_D_real: -0.015244 Loss_D_fake 0.004453
[1525/5000][165/535][157387] Loss_D: -0.019651 Loss_G: 0.003601 Loss_D_real: -0.011990 Loss_D_fake 0.007661
[1525/5000][170/535][157388] Loss_D: -0.018602 Loss_G: 0.022711 Loss_D_real: -0.035239 Loss_D_fake -0.016638
[1525/5000][175/535][157389] Loss_D: -0.017381 Loss_G: 0.028933 Loss_D_real: -0.033309 Loss_D_fake -0.015928
[1525/5000][180/535][157390] Loss_D: -0.018422 Loss_G: 0.008059 Loss_D_real: -0.024765 Loss_D_fake -0.006343
[1525/5000][185/535][157391] Loss_D: -0.020410 Loss_G: 0.009045 Loss_D_real: -0.022007 Loss_D_fake -0.001597
[1525/5000][190/535][157392] Loss_D: -0.019628 Loss_G: 0.005534 Loss_D_real: -0.011624 Loss_D_fake 0.008004
[1525/5000][195/535][157393] Loss_D: -0.020936 Loss_G: 0.020248 Loss_D_real: -0.020808 Loss_D_fake 0.000129
[1525/5000][200/535][157394] Loss_D: -0.020042 Loss_G: 0.006728 Loss_D_real: -0.019928 Loss_D_fake 0.000114
[1525/5000][205/535][157395] Loss_D: -0.020094 Loss_G: 0.006475 Loss_D_real: -0.013707 Loss_D_fake 0.006387
[1525/5000][210/535][157396] Loss_D: -0.020160 Loss_G: -0.014992 Loss_D_real: -0.008972 Loss_D_fake 0.011189
[1525/5000][215/535][157397] Loss_D: -0.020037 Loss_G: -0.004571 Loss_D_real: -0.002344 Loss_D_fake 0.017693
[1525/5000][220/535][157398] Loss_D: -0.021011 Loss_G: 0.016456 Loss_D_real: -0.021491 Loss_D_fake -0.000480
[1525/5000][225/535][157399] Loss_D: -0.019725 Loss_G: -0.006409 Loss_D_real: -0.002794 Loss_D_fake 0.016931
[1525/5000][230/535][157400] Loss_D: -0.020941 Loss_G: 0.013884 Loss_D_real: -0.015378 Loss_D_fake 0.005563
[1525/5000][235/535][157401] Loss_D: -0.020294 Loss_G: 0.008015 Loss_D_real: -0.018649 Loss_D_fake 0.001645
[1525/5000][240/535][157402] Loss_D: -0.019134 Loss_G: -0.011614 Loss_D_real: 0.002010 Loss_D_fake 0.021144
[1525/5000][245/535][157403] Loss_D: -0.018385 Loss_G: 0.024907 Loss_D_real: -0.014669 Loss_D_fake 0.003716
[1525/5000][250/535][157404] Loss_D: -0.019087 Loss_G: 0.033624 Loss_D_real: -0.034636 Loss_D_fake -0.015549
[1525/5000][255/535][157405] Loss_D: -0.019928 Loss_G: 0.016411 Loss_D_real: -0.018538 Loss_D_fake 0.001390
[1525/5000][260/535][157406] Loss_D: -0.017817 Loss_G: -0.007521 Loss_D_real: -0.001391 Loss_D_fake 0.016426
[1525/5000][265/535][157407] Loss_D: -0.019093 Loss_G: -0.001095 Loss_D_real: -0.015376 Loss_D_fake 0.003717
[1525/5000][270/535][157408] Loss_D: -0.019647 Loss_G: 0.018860 Loss_D_real: -0.012830 Loss_D_fake 0.006817
[1525/5000][275/535][157409] Loss_D: -0.020059 Loss_G: 0.017573 Loss_D_real: -0.024986 Loss_D_fake -0.004927
[1525/5000][280/535][157410] Loss_D: -0.019028 Loss_G: 0.013836 Loss_D_real: -0.022705 Loss_D_fake -0.003677
[1525/5000][285/535][157411] Loss_D: -0.019644 Loss_G: -0.000870 Loss_D_real: -0.019177 Loss_D_fake 0.000466
[1525/5000][290/535][157412] Loss_D: -0.019894 Loss_G: 0.004176 Loss_D_real: -0.025374 Loss_D_fake -0.005480
[1525/5000][295/535][157413] Loss_D: -0.019574 Loss_G: -0.006796 Loss_D_real: -0.000755 Loss_D_fake 0.018819
[1525/5000][300/535][157414] Loss_D: -0.021150 Loss_G: 0.013547 Loss_D_real: -0.020482 Loss_D_fake 0.000668
[1525/5000][305/535][157415] Loss_D: -0.020203 Loss_G: 0.016390 Loss_D_real: -0.003754 Loss_D_fake 0.016449
[1525/5000][310/535][157416] Loss_D: -0.019237 Loss_G: 0.020392 Loss_D_real: -0.023586 Loss_D_fake -0.004349
[1525/5000][315/535][157417] Loss_D: -0.019598 Loss_G: 0.014537 Loss_D_real: -0.022738 Loss_D_fake -0.003140
[1525/5000][320/535][157418] Loss_D: -0.018618 Loss_G: -0.005750 Loss_D_real: -0.001637 Loss_D_fake 0.016980
[1525/5000][325/535][157419] Loss_D: -0.019765 Loss_G: 0.021301 Loss_D_real: -0.025734 Loss_D_fake -0.005969
[1525/5000][330/535][157420] Loss_D: -0.019870 Loss_G: 0.001295 Loss_D_real: -0.009439 Loss_D_fake 0.010431
[1525/5000][335/535][157421] Loss_D: -0.018319 Loss_G: 0.006850 Loss_D_real: -0.020182 Loss_D_fake -0.001863
[1525/5000][340/535][157422] Loss_D: -0.019705 Loss_G: 0.004670 Loss_D_real: -0.014921 Loss_D_fake 0.004785
[1525/5000][345/535][157423] Loss_D: -0.019370 Loss_G: 0.011690 Loss_D_real: -0.021959 Loss_D_fake -0.002589
[1525/5000][350/535][157424] Loss_D: -0.020693 Loss_G: -0.005349 Loss_D_real: -0.009915 Loss_D_fake 0.010777
[1525/5000][355/535][157425] Loss_D: -0.018760 Loss_G: -0.002121 Loss_D_real: -0.016445 Loss_D_fake 0.002314
[1525/5000][360/535][157426] Loss_D: -0.020399 Loss_G: 0.003612 Loss_D_real: -0.016123 Loss_D_fake 0.004276
[1525/5000][365/535][157427] Loss_D: -0.019995 Loss_G: 0.000932 Loss_D_real: -0.005940 Loss_D_fake 0.014054
[1525/5000][370/535][157428] Loss_D: -0.019429 Loss_G: -0.009466 Loss_D_real: -0.006278 Loss_D_fake 0.013151
[1525/5000][375/535][157429] Loss_D: -0.021235 Loss_G: -0.019960 Loss_D_real: -0.001484 Loss_D_fake 0.019751
[1525/5000][380/535][157430] Loss_D: -0.018439 Loss_G: 0.014346 Loss_D_real: -0.014906 Loss_D_fake 0.003533
[1525/5000][385/535][157431] Loss_D: -0.020358 Loss_G: 0.001172 Loss_D_real: -0.013463 Loss_D_fake 0.006895
[1525/5000][390/535][157432] Loss_D: -0.020368 Loss_G: 0.010113 Loss_D_real: -0.000702 Loss_D_fake 0.019667
[1525/5000][395/535][157433] Loss_D: -0.018840 Loss_G: 0.002072 Loss_D_real: -0.018428 Loss_D_fake 0.000412
[1525/5000][400/535][157434] Loss_D: -0.019296 Loss_G: 0.016459 Loss_D_real: -0.027807 Loss_D_fake -0.008511
[1525/5000][405/535][157435] Loss_D: -0.020744 Loss_G: 0.004528 Loss_D_real: -0.021787 Loss_D_fake -0.001042
[1525/5000][410/535][157436] Loss_D: -0.020165 Loss_G: 0.010747 Loss_D_real: -0.017156 Loss_D_fake 0.003009
[1525/5000][415/535][157437] Loss_D: -0.018827 Loss_G: 0.007415 Loss_D_real: -0.027368 Loss_D_fake -0.008541
[1525/5000][420/535][157438] Loss_D: -0.020207 Loss_G: 0.005688 Loss_D_real: -0.020198 Loss_D_fake 0.000009
[1525/5000][425/535][157439] Loss_D: -0.018524 Loss_G: -0.001810 Loss_D_real: -0.002469 Loss_D_fake 0.016054
[1525/5000][430/535][157440] Loss_D: -0.020005 Loss_G: 0.011973 Loss_D_real: -0.027661 Loss_D_fake -0.007656
[1525/5000][435/535][157441] Loss_D: -0.020573 Loss_G: 0.006059 Loss_D_real: -0.012642 Loss_D_fake 0.007931
[1525/5000][440/535][157442] Loss_D: -0.020695 Loss_G: 0.013451 Loss_D_real: -0.016406 Loss_D_fake 0.004289
[1525/5000][445/535][157443] Loss_D: -0.019881 Loss_G: 0.019729 Loss_D_real: -0.023907 Loss_D_fake -0.004026
[1525/5000][450/535][157444] Loss_D: -0.019582 Loss_G: 0.012766 Loss_D_real: -0.018718 Loss_D_fake 0.000864
[1525/5000][455/535][157445] Loss_D: -0.019436 Loss_G: 0.021910 Loss_D_real: -0.030169 Loss_D_fake -0.010733
[1525/5000][460/535][157446] Loss_D: -0.019674 Loss_G: -0.004160 Loss_D_real: -0.006818 Loss_D_fake 0.012856
[1525/5000][465/535][157447] Loss_D: -0.019285 Loss_G: -0.009771 Loss_D_real: 0.002872 Loss_D_fake 0.022156
[1525/5000][470/535][157448] Loss_D: -0.018956 Loss_G: 0.000838 Loss_D_real: 0.001557 Loss_D_fake 0.020514
[1525/5000][475/535][157449] Loss_D: -0.019602 Loss_G: -0.006428 Loss_D_real: 0.001575 Loss_D_fake 0.021178
[1525/5000][480/535][157450] Loss_D: -0.019520 Loss_G: -0.009349 Loss_D_real: -0.024625 Loss_D_fake -0.005105
[1525/5000][485/535][157451] Loss_D: -0.018050 Loss_G: -0.006927 Loss_D_real: 0.000951 Loss_D_fake 0.019000
[1525/5000][490/535][157452] Loss_D: -0.018614 Loss_G: 0.000467 Loss_D_real: -0.009302 Loss_D_fake 0.009311
[1525/5000][495/535][157453] Loss_D: -0.017926 Loss_G: 0.004261 Loss_D_real: -0.029022 Loss_D_fake -0.011097
[1525/5000][500/535][157454] Loss_D: -0.019965 Loss_G: 0.006700 Loss_D_real: -0.023189 Loss_D_fake -0.003224
[1525/5000][505/535][157455] Loss_D: -0.019918 Loss_G: 0.003345 Loss_D_real: -0.017205 Loss_D_fake 0.002713
[1525/5000][510/535][157456] Loss_D: -0.018922 Loss_G: 0.014664 Loss_D_real: -0.026284 Loss_D_fake -0.007362
[1525/5000][515/535][157457] Loss_D: -0.020096 Loss_G: 0.022112 Loss_D_real: -0.025874 Loss_D_fake -0.005778
[1525/5000][520/535][157458] Loss_D: -0.020297 Loss_G: 0.003859 Loss_D_real: -0.011410 Loss_D_fake 0.008887
[1525/5000][525/535][157459] Loss_D: -0.019330 Loss_G: 0.020348 Loss_D_real: -0.022187 Loss_D_fake -0.002856
[1525/5000][530/535][157460] Loss_D: -0.019423 Loss_G: 0.020268 Loss_D_real: -0.025730 Loss_D_fake -0.006307
[1525/5000][535/535][157461] Loss_D: -0.020197 Loss_G: 0.014708 Loss_D_real: -0.009855 Loss_D_fake 0.010343
[1526/5000][5/535][157462] Loss_D: -0.021204 Loss_G: 0.001097 Loss_D_real: -0.015637 Loss_D_fake 0.005567
[1526/5000][10/535][157463] Loss_D: -0.020579 Loss_G: 0.006498 Loss_D_real: -0.021514 Loss_D_fake -0.000935
[1526/5000][15/535][157464] Loss_D: -0.020024 Loss_G: 0.010440 Loss_D_real: -0.034041 Loss_D_fake -0.014018
[1526/5000][20/535][157465] Loss_D: -0.021802 Loss_G: 0.012156 Loss_D_real: -0.028522 Loss_D_fake -0.006719
[1526/5000][25/535][157466] Loss_D: -0.021496 Loss_G: 0.009600 Loss_D_real: -0.016122 Loss_D_fake 0.005375
[1526/5000][30/535][157467] Loss_D: -0.020376 Loss_G: 0.023255 Loss_D_real: -0.023129 Loss_D_fake -0.002753
[1526/5000][35/535][157468] Loss_D: -0.019965 Loss_G: 0.016265 Loss_D_real: -0.022455 Loss_D_fake -0.002490
[1526/5000][40/535][157469] Loss_D: -0.020104 Loss_G: 0.008839 Loss_D_real: -0.017703 Loss_D_fake 0.002401
[1526/5000][45/535][157470] Loss_D: -0.019960 Loss_G: -0.013975 Loss_D_real: -0.014040 Loss_D_fake 0.005920
[1526/5000][50/535][157471] Loss_D: -0.016032 Loss_G: -0.012803 Loss_D_real: 0.001464 Loss_D_fake 0.017496
[1526/5000][55/535][157472] Loss_D: -0.018934 Loss_G: 0.011195 Loss_D_real: -0.017755 Loss_D_fake 0.001179
[1526/5000][60/535][157473] Loss_D: -0.017762 Loss_G: -0.007215 Loss_D_real: 0.002889 Loss_D_fake 0.020651
[1526/5000][65/535][157474] Loss_D: -0.019025 Loss_G: 0.000605 Loss_D_real: -0.018620 Loss_D_fake 0.000405
[1526/5000][70/535][157475] Loss_D: -0.019309 Loss_G: 0.000594 Loss_D_real: 0.004388 Loss_D_fake 0.023697
[1526/5000][75/535][157476] Loss_D: -0.019103 Loss_G: 0.006269 Loss_D_real: -0.010235 Loss_D_fake 0.008868
[1526/5000][80/535][157477] Loss_D: -0.018733 Loss_G: 0.006684 Loss_D_real: -0.008575 Loss_D_fake 0.010158
[1526/5000][85/535][157478] Loss_D: -0.018924 Loss_G: -0.006571 Loss_D_real: -0.006585 Loss_D_fake 0.012339
[1526/5000][90/535][157479] Loss_D: -0.019651 Loss_G: 0.008516 Loss_D_real: -0.010669 Loss_D_fake 0.008982
[1526/5000][95/535][157480] Loss_D: -0.018299 Loss_G: 0.002313 Loss_D_real: -0.007402 Loss_D_fake 0.010897
[1526/5000][100/535][157481] Loss_D: -0.017727 Loss_G: -0.004302 Loss_D_real: -0.011367 Loss_D_fake 0.006360
[1526/5000][105/535][157482] Loss_D: -0.020066 Loss_G: 0.017614 Loss_D_real: -0.012897 Loss_D_fake 0.007169
[1526/5000][110/535][157483] Loss_D: -0.018682 Loss_G: -0.010401 Loss_D_real: 0.011321 Loss_D_fake 0.030003
[1526/5000][115/535][157484] Loss_D: -0.020142 Loss_G: 0.017165 Loss_D_real: -0.017153 Loss_D_fake 0.002990
[1526/5000][120/535][157485] Loss_D: -0.019974 Loss_G: -0.003724 Loss_D_real: -0.002777 Loss_D_fake 0.017198
[1526/5000][125/535][157486] Loss_D: -0.019155 Loss_G: 0.028654 Loss_D_real: -0.033041 Loss_D_fake -0.013886
[1526/5000][130/535][157487] Loss_D: -0.019636 Loss_G: 0.014573 Loss_D_real: -0.011415 Loss_D_fake 0.008222
[1526/5000][135/535][157488] Loss_D: -0.019125 Loss_G: 0.023276 Loss_D_real: -0.017707 Loss_D_fake 0.001418
[1526/5000][140/535][157489] Loss_D: -0.020897 Loss_G: -0.000787 Loss_D_real: -0.015479 Loss_D_fake 0.005418
[1526/5000][145/535][157490] Loss_D: -0.018469 Loss_G: -0.007027 Loss_D_real: -0.004629 Loss_D_fake 0.013840
[1526/5000][150/535][157491] Loss_D: -0.019638 Loss_G: -0.004266 Loss_D_real: -0.013468 Loss_D_fake 0.006171
[1526/5000][155/535][157492] Loss_D: -0.020069 Loss_G: -0.010826 Loss_D_real: -0.013204 Loss_D_fake 0.006865
[1526/5000][160/535][157493] Loss_D: -0.019337 Loss_G: 0.020186 Loss_D_real: -0.019428 Loss_D_fake -0.000091
[1526/5000][165/535][157494] Loss_D: -0.018926 Loss_G: 0.011517 Loss_D_real: -0.012196 Loss_D_fake 0.006731
[1526/5000][170/535][157495] Loss_D: -0.019004 Loss_G: 0.002416 Loss_D_real: -0.010914 Loss_D_fake 0.008090
[1526/5000][175/535][157496] Loss_D: -0.017314 Loss_G: -0.010245 Loss_D_real: 0.000599 Loss_D_fake 0.017913
[1526/5000][180/535][157497] Loss_D: -0.019643 Loss_G: 0.003725 Loss_D_real: -0.014265 Loss_D_fake 0.005378
[1526/5000][185/535][157498] Loss_D: -0.020212 Loss_G: -0.004416 Loss_D_real: -0.027500 Loss_D_fake -0.007287
[1526/5000][190/535][157499] Loss_D: -0.019706 Loss_G: 0.011219 Loss_D_real: -0.004949 Loss_D_fake 0.014757
[1526/5000][195/535][157500] Loss_D: -0.021387 Loss_G: 0.005062 Loss_D_real: -0.001297 Loss_D_fake 0.020090
[1526/5000][295/535][157501] Loss_D: -0.024172 Loss_G: 0.034715 Loss_D_real: -0.025033 Loss_D_fake -0.000861
[1526/5000][300/535][157502] Loss_D: -0.018497 Loss_G: 0.011531 Loss_D_real: -0.008196 Loss_D_fake 0.010301
[1526/5000][305/535][157503] Loss_D: -0.019100 Loss_G: 0.004020 Loss_D_real: -0.019322 Loss_D_fake -0.000221
[1526/5000][310/535][157504] Loss_D: -0.018590 Loss_G: -0.006013 Loss_D_real: -0.005549 Loss_D_fake 0.013041
[1526/5000][315/535][157505] Loss_D: -0.019720 Loss_G: 0.012894 Loss_D_real: -0.012991 Loss_D_fake 0.006728
[1526/5000][320/535][157506] Loss_D: -0.017937 Loss_G: 0.013406 Loss_D_real: -0.027706 Loss_D_fake -0.009769
[1526/5000][325/535][157507] Loss_D: -0.018981 Loss_G: 0.026852 Loss_D_real: -0.026950 Loss_D_fake -0.007970
[1526/5000][330/535][157508] Loss_D: -0.020910 Loss_G: -0.000885 Loss_D_real: -0.019353 Loss_D_fake 0.001556
[1526/5000][335/535][157509] Loss_D: -0.020700 Loss_G: 0.009448 Loss_D_real: -0.028171 Loss_D_fake -0.007471
[1526/5000][340/535][157510] Loss_D: -0.020620 Loss_G: -0.001423 Loss_D_real: -0.013143 Loss_D_fake 0.007477
[1526/5000][345/535][157511] Loss_D: -0.019002 Loss_G: -0.005189 Loss_D_real: -0.011165 Loss_D_fake 0.007837
[1526/5000][350/535][157512] Loss_D: -0.019842 Loss_G: 0.005855 Loss_D_real: -0.019414 Loss_D_fake 0.000427
[1526/5000][355/535][157513] Loss_D: -0.018468 Loss_G: 0.016982 Loss_D_real: -0.019625 Loss_D_fake -0.001157
[1526/5000][360/535][157514] Loss_D: -0.019672 Loss_G: 0.007636 Loss_D_real: -0.006629 Loss_D_fake 0.013042
[1526/5000][365/535][157515] Loss_D: -0.018830 Loss_G: 0.000428 Loss_D_real: -0.013711 Loss_D_fake 0.005119
[1526/5000][370/535][157516] Loss_D: -0.019587 Loss_G: 0.002272 Loss_D_real: 0.000463 Loss_D_fake 0.020050
[1526/5000][375/535][157517] Loss_D: -0.018235 Loss_G: -0.004584 Loss_D_real: -0.010628 Loss_D_fake 0.007607
[1526/5000][380/535][157518] Loss_D: -0.019954 Loss_G: 0.019397 Loss_D_real: -0.027227 Loss_D_fake -0.007273
[1526/5000][385/535][157519] Loss_D: -0.019292 Loss_G: 0.008689 Loss_D_real: -0.018478 Loss_D_fake 0.000814
[1526/5000][390/535][157520] Loss_D: -0.019803 Loss_G: 0.001665 Loss_D_real: -0.018456 Loss_D_fake 0.001348
[1526/5000][395/535][157521] Loss_D: -0.020015 Loss_G: -0.000066 Loss_D_real: -0.021402 Loss_D_fake -0.001387
[1526/5000][400/535][157522] Loss_D: -0.020232 Loss_G: 0.002766 Loss_D_real: -0.020811 Loss_D_fake -0.000580
[1526/5000][405/535][157523] Loss_D: -0.020132 Loss_G: 0.010243 Loss_D_real: -0.023912 Loss_D_fake -0.003779
[1526/5000][410/535][157524] Loss_D: -0.019102 Loss_G: -0.001128 Loss_D_real: -0.016063 Loss_D_fake 0.003038
[1526/5000][415/535][157525] Loss_D: -0.018147 Loss_G: 0.011290 Loss_D_real: -0.021826 Loss_D_fake -0.003679
[1526/5000][420/535][157526] Loss_D: -0.018838 Loss_G: -0.004479 Loss_D_real: -0.014225 Loss_D_fake 0.004613
[1526/5000][425/535][157527] Loss_D: -0.019750 Loss_G: 0.004943 Loss_D_real: -0.013785 Loss_D_fake 0.005965
[1526/5000][430/535][157528] Loss_D: -0.019417 Loss_G: 0.008854 Loss_D_real: -0.023277 Loss_D_fake -0.003860
[1526/5000][435/535][157529] Loss_D: -0.021279 Loss_G: 0.009044 Loss_D_real: -0.006633 Loss_D_fake 0.014645
[1526/5000][440/535][157530] Loss_D: -0.020005 Loss_G: -0.003293 Loss_D_real: -0.014265 Loss_D_fake 0.005740
[1526/5000][445/535][157531] Loss_D: -0.019131 Loss_G: -0.000523 Loss_D_real: -0.008945 Loss_D_fake 0.010186
[1526/5000][450/535][157532] Loss_D: -0.019917 Loss_G: -0.000886 Loss_D_real: -0.010015 Loss_D_fake 0.009902
[1526/5000][455/535][157533] Loss_D: -0.019476 Loss_G: 0.020620 Loss_D_real: -0.031178 Loss_D_fake -0.011703
[1526/5000][460/535][157534] Loss_D: -0.018439 Loss_G: 0.015210 Loss_D_real: -0.028780 Loss_D_fake -0.010342
[1526/5000][465/535][157535] Loss_D: -0.020410 Loss_G: -0.001912 Loss_D_real: -0.008001 Loss_D_fake 0.012409
[1526/5000][470/535][157536] Loss_D: -0.019808 Loss_G: 0.019311 Loss_D_real: -0.022946 Loss_D_fake -0.003139
[1526/5000][475/535][157537] Loss_D: -0.020635 Loss_G: 0.001696 Loss_D_real: -0.010066 Loss_D_fake 0.010569
[1526/5000][480/535][157538] Loss_D: -0.019319 Loss_G: 0.004729 Loss_D_real: -0.014581 Loss_D_fake 0.004738
[1526/5000][485/535][157539] Loss_D: -0.019401 Loss_G: 0.008927 Loss_D_real: -0.010201 Loss_D_fake 0.009199
[1526/5000][490/535][157540] Loss_D: -0.018688 Loss_G: 0.005223 Loss_D_real: -0.003433 Loss_D_fake 0.015256
[1526/5000][495/535][157541] Loss_D: -0.019122 Loss_G: 0.010499 Loss_D_real: -0.019988 Loss_D_fake -0.000866
[1526/5000][500/535][157542] Loss_D: -0.018806 Loss_G: 0.027711 Loss_D_real: -0.020523 Loss_D_fake -0.001717
[1526/5000][505/535][157543] Loss_D: -0.020401 Loss_G: 0.015314 Loss_D_real: -0.012320 Loss_D_fake 0.008081
[1526/5000][510/535][157544] Loss_D: -0.016109 Loss_G: 0.016467 Loss_D_real: -0.020469 Loss_D_fake -0.004360
[1526/5000][515/535][157545] Loss_D: -0.020053 Loss_G: 0.002288 Loss_D_real: -0.023340 Loss_D_fake -0.003286
[1526/5000][520/535][157546] Loss_D: -0.018598 Loss_G: -0.002167 Loss_D_real: -0.009028 Loss_D_fake 0.009570
[1526/5000][525/535][157547] Loss_D: -0.019522 Loss_G: 0.015395 Loss_D_real: -0.036272 Loss_D_fake -0.016750
[1526/5000][530/535][157548] Loss_D: -0.018881 Loss_G: -0.000175 Loss_D_real: 0.010843 Loss_D_fake 0.029723
[1526/5000][535/535][157549] Loss_D: -0.016359 Loss_G: 0.027232 Loss_D_real: -0.017983 Loss_D_fake -0.001623
[1527/5000][5/535][157550] Loss_D: -0.019918 Loss_G: 0.008936 Loss_D_real: -0.015644 Loss_D_fake 0.004274
[1527/5000][10/535][157551] Loss_D: -0.020406 Loss_G: 0.013962 Loss_D_real: -0.019997 Loss_D_fake 0.000409
[1527/5000][15/535][157552] Loss_D: -0.019965 Loss_G: 0.025076 Loss_D_real: -0.031539 Loss_D_fake -0.011574
[1527/5000][20/535][157553] Loss_D: -0.020113 Loss_G: 0.001644 Loss_D_real: -0.011666 Loss_D_fake 0.008447
[1527/5000][25/535][157554] Loss_D: -0.020749 Loss_G: 0.014435 Loss_D_real: -0.026060 Loss_D_fake -0.005311
[1527/5000][30/535][157555] Loss_D: -0.018122 Loss_G: 0.025961 Loss_D_real: -0.018222 Loss_D_fake -0.000100
[1527/5000][35/535][157556] Loss_D: -0.019172 Loss_G: 0.008119 Loss_D_real: -0.016711 Loss_D_fake 0.002462
[1527/5000][40/535][157557] Loss_D: -0.018741 Loss_G: -0.020815 Loss_D_real: -0.000480 Loss_D_fake 0.018261
[1527/5000][45/535][157558] Loss_D: -0.019168 Loss_G: 0.012481 Loss_D_real: -0.007667 Loss_D_fake 0.011501
[1527/5000][50/535][157559] Loss_D: -0.021429 Loss_G: 0.011293 Loss_D_real: -0.028944 Loss_D_fake -0.007515
[1527/5000][55/535][157560] Loss_D: -0.019926 Loss_G: 0.005111 Loss_D_real: -0.017972 Loss_D_fake 0.001954
[1527/5000][60/535][157561] Loss_D: -0.018520 Loss_G: 0.023262 Loss_D_real: -0.033581 Loss_D_fake -0.015061
[1527/5000][65/535][157562] Loss_D: -0.019404 Loss_G: 0.007882 Loss_D_real: -0.025721 Loss_D_fake -0.006317
[1527/5000][70/535][157563] Loss_D: -0.020875 Loss_G: 0.006097 Loss_D_real: -0.019203 Loss_D_fake 0.001672
[1527/5000][75/535][157564] Loss_D: -0.019662 Loss_G: -0.004279 Loss_D_real: -0.007159 Loss_D_fake 0.012503
[1527/5000][80/535][157565] Loss_D: -0.018432 Loss_G: 0.025020 Loss_D_real: -0.028174 Loss_D_fake -0.009742
[1527/5000][85/535][157566] Loss_D: -0.018495 Loss_G: 0.011679 Loss_D_real: -0.022028 Loss_D_fake -0.003533
[1527/5000][90/535][157567] Loss_D: -0.019772 Loss_G: 0.008611 Loss_D_real: -0.010650 Loss_D_fake 0.009122
[1527/5000][95/535][157568] Loss_D: -0.019482 Loss_G: 0.013195 Loss_D_real: -0.014505 Loss_D_fake 0.004977
[1527/5000][100/535][157569] Loss_D: -0.019121 Loss_G: 0.016074 Loss_D_real: -0.023180 Loss_D_fake -0.004059
[1527/5000][105/535][157570] Loss_D: -0.020319 Loss_G: 0.023481 Loss_D_real: -0.024798 Loss_D_fake -0.004478
[1527/5000][110/535][157571] Loss_D: -0.019385 Loss_G: 0.014704 Loss_D_real: -0.025094 Loss_D_fake -0.005709
[1527/5000][115/535][157572] Loss_D: -0.019744 Loss_G: 0.015388 Loss_D_real: -0.029820 Loss_D_fake -0.010076
[1527/5000][120/535][157573] Loss_D: -0.018572 Loss_G: -0.014176 Loss_D_real: -0.010233 Loss_D_fake 0.008339
[1527/5000][125/535][157574] Loss_D: -0.019494 Loss_G: 0.006515 Loss_D_real: -0.014421 Loss_D_fake 0.005072
[1527/5000][130/535][157575] Loss_D: -0.018725 Loss_G: 0.013589 Loss_D_real: -0.014506 Loss_D_fake 0.004219
[1527/5000][135/535][157576] Loss_D: -0.019085 Loss_G: 0.005360 Loss_D_real: -0.021796 Loss_D_fake -0.002712
[1527/5000][140/535][157577] Loss_D: -0.019035 Loss_G: 0.021178 Loss_D_real: -0.017461 Loss_D_fake 0.001574
[1527/5000][145/535][157578] Loss_D: -0.020506 Loss_G: 0.003716 Loss_D_real: -0.024029 Loss_D_fake -0.003524
[1527/5000][150/535][157579] Loss_D: -0.019710 Loss_G: 0.013771 Loss_D_real: -0.017454 Loss_D_fake 0.002256
[1527/5000][155/535][157580] Loss_D: -0.018600 Loss_G: 0.009591 Loss_D_real: -0.013417 Loss_D_fake 0.005183
[1527/5000][160/535][157581] Loss_D: -0.018765 Loss_G: 0.008257 Loss_D_real: -0.015474 Loss_D_fake 0.003290
[1527/5000][165/535][157582] Loss_D: -0.017940 Loss_G: 0.029366 Loss_D_real: -0.036506 Loss_D_fake -0.018567
[1527/5000][170/535][157583] Loss_D: -0.019425 Loss_G: -0.004429 Loss_D_real: -0.000602 Loss_D_fake 0.018823
[1527/5000][175/535][157584] Loss_D: -0.016768 Loss_G: 0.026455 Loss_D_real: -0.027895 Loss_D_fake -0.011127
[1527/5000][180/535][157585] Loss_D: -0.019994 Loss_G: 0.002708 Loss_D_real: -0.013127 Loss_D_fake 0.006867
[1527/5000][185/535][157586] Loss_D: -0.019116 Loss_G: -0.000680 Loss_D_real: -0.009817 Loss_D_fake 0.009298
[1527/5000][190/535][157587] Loss_D: -0.019740 Loss_G: 0.019526 Loss_D_real: -0.024839 Loss_D_fake -0.005098
[1527/5000][195/535][157588] Loss_D: -0.020192 Loss_G: -0.010240 Loss_D_real: 0.001455 Loss_D_fake 0.021647
[1527/5000][200/535][157589] Loss_D: -0.019146 Loss_G: 0.025021 Loss_D_real: -0.022195 Loss_D_fake -0.003049
[1527/5000][205/535][157590] Loss_D: -0.017986 Loss_G: 0.017867 Loss_D_real: -0.036956 Loss_D_fake -0.018971
[1527/5000][210/535][157591] Loss_D: -0.019861 Loss_G: -0.007075 Loss_D_real: -0.001304 Loss_D_fake 0.018557
[1527/5000][215/535][157592] Loss_D: -0.020096 Loss_G: -0.009015 Loss_D_real: -0.011423 Loss_D_fake 0.008674
[1527/5000][220/535][157593] Loss_D: -0.019433 Loss_G: 0.008358 Loss_D_real: -0.018562 Loss_D_fake 0.000871
[1527/5000][225/535][157594] Loss_D: -0.020467 Loss_G: 0.007340 Loss_D_real: -0.019453 Loss_D_fake 0.001014
[1527/5000][230/535][157595] Loss_D: -0.020788 Loss_G: 0.018949 Loss_D_real: -0.021794 Loss_D_fake -0.001006
[1527/5000][235/535][157596] Loss_D: -0.019831 Loss_G: 0.003453 Loss_D_real: 0.005625 Loss_D_fake 0.025456
[1527/5000][240/535][157597] Loss_D: -0.019507 Loss_G: -0.004728 Loss_D_real: -0.002558 Loss_D_fake 0.016949
[1527/5000][245/535][157598] Loss_D: -0.020210 Loss_G: 0.008751 Loss_D_real: -0.015839 Loss_D_fake 0.004371
[1527/5000][250/535][157599] Loss_D: -0.019888 Loss_G: 0.017023 Loss_D_real: -0.015293 Loss_D_fake 0.004595
[1527/5000][255/535][157600] Loss_D: -0.019323 Loss_G: -0.007348 Loss_D_real: -0.003144 Loss_D_fake 0.016179
[1527/5000][260/535][157601] Loss_D: -0.019998 Loss_G: 0.006878 Loss_D_real: -0.009431 Loss_D_fake 0.010567
[1527/5000][265/535][157602] Loss_D: -0.018672 Loss_G: 0.022522 Loss_D_real: -0.025125 Loss_D_fake -0.006453
[1527/5000][270/535][157603] Loss_D: -0.020373 Loss_G: 0.006767 Loss_D_real: -0.016253 Loss_D_fake 0.004120
[1527/5000][275/535][157604] Loss_D: -0.019055 Loss_G: 0.020862 Loss_D_real: -0.031629 Loss_D_fake -0.012575
[1527/5000][280/535][157605] Loss_D: -0.018745 Loss_G: 0.013309 Loss_D_real: -0.019785 Loss_D_fake -0.001041
[1527/5000][285/535][157606] Loss_D: -0.019110 Loss_G: 0.010593 Loss_D_real: -0.013627 Loss_D_fake 0.005483
[1527/5000][290/535][157607] Loss_D: -0.019561 Loss_G: 0.001107 Loss_D_real: -0.010511 Loss_D_fake 0.009050
[1527/5000][295/535][157608] Loss_D: -0.018942 Loss_G: 0.010539 Loss_D_real: -0.018679 Loss_D_fake 0.000263
[1527/5000][300/535][157609] Loss_D: -0.020455 Loss_G: 0.005814 Loss_D_real: -0.023480 Loss_D_fake -0.003025
[1527/5000][305/535][157610] Loss_D: -0.019732 Loss_G: 0.011181 Loss_D_real: -0.020962 Loss_D_fake -0.001230
[1527/5000][310/535][157611] Loss_D: -0.019818 Loss_G: 0.009578 Loss_D_real: -0.033062 Loss_D_fake -0.013244
[1527/5000][315/535][157612] Loss_D: -0.019524 Loss_G: 0.014227 Loss_D_real: -0.028912 Loss_D_fake -0.009388
[1527/5000][320/535][157613] Loss_D: -0.019540 Loss_G: -0.008406 Loss_D_real: -0.016013 Loss_D_fake 0.003527
[1527/5000][325/535][157614] Loss_D: -0.018755 Loss_G: 0.009903 Loss_D_real: -0.017535 Loss_D_fake 0.001220
[1527/5000][330/535][157615] Loss_D: -0.020468 Loss_G: 0.001543 Loss_D_real: -0.011792 Loss_D_fake 0.008676
[1527/5000][335/535][157616] Loss_D: -0.018912 Loss_G: -0.014564 Loss_D_real: 0.001194 Loss_D_fake 0.020106
[1527/5000][340/535][157617] Loss_D: -0.020242 Loss_G: 0.011167 Loss_D_real: -0.033996 Loss_D_fake -0.013754
[1527/5000][345/535][157618] Loss_D: -0.019556 Loss_G: 0.007394 Loss_D_real: -0.009887 Loss_D_fake 0.009668
[1527/5000][350/535][157619] Loss_D: -0.019346 Loss_G: 0.012363 Loss_D_real: -0.022699 Loss_D_fake -0.003354
[1527/5000][355/535][157620] Loss_D: -0.019758 Loss_G: 0.000167 Loss_D_real: -0.017963 Loss_D_fake 0.001795
[1527/5000][360/535][157621] Loss_D: -0.019699 Loss_G: 0.027606 Loss_D_real: -0.023393 Loss_D_fake -0.003695
[1527/5000][365/535][157622] Loss_D: -0.019523 Loss_G: 0.017123 Loss_D_real: -0.022261 Loss_D_fake -0.002738
[1527/5000][370/535][157623] Loss_D: -0.020729 Loss_G: -0.011121 Loss_D_real: -0.002692 Loss_D_fake 0.018037
[1527/5000][375/535][157624] Loss_D: -0.019257 Loss_G: 0.006948 Loss_D_real: -0.019264 Loss_D_fake -0.000007
[1527/5000][380/535][157625] Loss_D: -0.019616 Loss_G: -0.011223 Loss_D_real: 0.006009 Loss_D_fake 0.025625
[1527/5000][385/535][157626] Loss_D: -0.019791 Loss_G: 0.014149 Loss_D_real: -0.021167 Loss_D_fake -0.001376
[1527/5000][390/535][157627] Loss_D: -0.021045 Loss_G: 0.005627 Loss_D_real: -0.009156 Loss_D_fake 0.011889
[1527/5000][395/535][157628] Loss_D: -0.020565 Loss_G: 0.001626 Loss_D_real: -0.009301 Loss_D_fake 0.011264
[1527/5000][400/535][157629] Loss_D: -0.019520 Loss_G: 0.027503 Loss_D_real: -0.025499 Loss_D_fake -0.005979
[1527/5000][405/535][157630] Loss_D: -0.020373 Loss_G: 0.002978 Loss_D_real: -0.015465 Loss_D_fake 0.004907
[1527/5000][410/535][157631] Loss_D: -0.020107 Loss_G: 0.011316 Loss_D_real: -0.017711 Loss_D_fake 0.002396
[1527/5000][415/535][157632] Loss_D: -0.018987 Loss_G: 0.002506 Loss_D_real: -0.013778 Loss_D_fake 0.005209
[1527/5000][420/535][157633] Loss_D: -0.019022 Loss_G: 0.002716 Loss_D_real: -0.004693 Loss_D_fake 0.014330
[1527/5000][425/535][157634] Loss_D: -0.019429 Loss_G: 0.001483 Loss_D_real: -0.014898 Loss_D_fake 0.004531
[1527/5000][430/535][157635] Loss_D: -0.019337 Loss_G: 0.012565 Loss_D_real: -0.024625 Loss_D_fake -0.005288
[1527/5000][435/535][157636] Loss_D: -0.019526 Loss_G: 0.019417 Loss_D_real: -0.012214 Loss_D_fake 0.007312
[1527/5000][440/535][157637] Loss_D: -0.020422 Loss_G: 0.011636 Loss_D_real: -0.008230 Loss_D_fake 0.012193
[1527/5000][445/535][157638] Loss_D: -0.020003 Loss_G: 0.006412 Loss_D_real: -0.002525 Loss_D_fake 0.017478
[1527/5000][450/535][157639] Loss_D: -0.019405 Loss_G: -0.002635 Loss_D_real: -0.014090 Loss_D_fake 0.005315
[1527/5000][455/535][157640] Loss_D: -0.019716 Loss_G: 0.011958 Loss_D_real: -0.003847 Loss_D_fake 0.015868
[1527/5000][460/535][157641] Loss_D: -0.018141 Loss_G: 0.033801 Loss_D_real: -0.021909 Loss_D_fake -0.003768
[1527/5000][465/535][157642] Loss_D: -0.017936 Loss_G: 0.030243 Loss_D_real: -0.020719 Loss_D_fake -0.002783
[1527/5000][470/535][157643] Loss_D: -0.020301 Loss_G: 0.000475 Loss_D_real: -0.018036 Loss_D_fake 0.002265
[1527/5000][475/535][157644] Loss_D: -0.019890 Loss_G: 0.014588 Loss_D_real: -0.022906 Loss_D_fake -0.003017
[1527/5000][480/535][157645] Loss_D: -0.019080 Loss_G: 0.018905 Loss_D_real: -0.005616 Loss_D_fake 0.013464
[1527/5000][485/535][157646] Loss_D: -0.019205 Loss_G: 0.026349 Loss_D_real: -0.025550 Loss_D_fake -0.006345
[1527/5000][490/535][157647] Loss_D: -0.019876 Loss_G: 0.012033 Loss_D_real: -0.031546 Loss_D_fake -0.011670
[1527/5000][495/535][157648] Loss_D: -0.020481 Loss_G: -0.014250 Loss_D_real: -0.000251 Loss_D_fake 0.020230
[1527/5000][500/535][157649] Loss_D: -0.018211 Loss_G: 0.009957 Loss_D_real: -0.014030 Loss_D_fake 0.004181
[1527/5000][505/535][157650] Loss_D: -0.020396 Loss_G: 0.022174 Loss_D_real: -0.021463 Loss_D_fake -0.001066
[1527/5000][510/535][157651] Loss_D: -0.020642 Loss_G: 0.002056 Loss_D_real: -0.014109 Loss_D_fake 0.006533
[1527/5000][515/535][157652] Loss_D: -0.019601 Loss_G: 0.012930 Loss_D_real: -0.025504 Loss_D_fake -0.005902
[1527/5000][520/535][157653] Loss_D: -0.020818 Loss_G: 0.001159 Loss_D_real: -0.007346 Loss_D_fake 0.013471
[1527/5000][525/535][157654] Loss_D: -0.020672 Loss_G: 0.007291 Loss_D_real: -0.011197 Loss_D_fake 0.009475
[1527/5000][530/535][157655] Loss_D: -0.020001 Loss_G: 0.001719 Loss_D_real: -0.016868 Loss_D_fake 0.003133
[1527/5000][535/535][157656] Loss_D: -0.017566 Loss_G: 0.020670 Loss_D_real: -0.021573 Loss_D_fake -0.004006
[1528/5000][5/535][157657] Loss_D: -0.019302 Loss_G: 0.014146 Loss_D_real: -0.014908 Loss_D_fake 0.004394
[1528/5000][10/535][157658] Loss_D: -0.019672 Loss_G: -0.004100 Loss_D_real: -0.021313 Loss_D_fake -0.001641
[1528/5000][15/535][157659] Loss_D: -0.017573 Loss_G: 0.016918 Loss_D_real: -0.033902 Loss_D_fake -0.016329
[1528/5000][20/535][157660] Loss_D: -0.018319 Loss_G: 0.016954 Loss_D_real: -0.034766 Loss_D_fake -0.016447
[1528/5000][25/535][157661] Loss_D: -0.019883 Loss_G: 0.006529 Loss_D_real: -0.017196 Loss_D_fake 0.002687
[1528/5000][30/535][157662] Loss_D: -0.019522 Loss_G: 0.012542 Loss_D_real: -0.016793 Loss_D_fake 0.002729
[1528/5000][35/535][157663] Loss_D: -0.019667 Loss_G: 0.000866 Loss_D_real: -0.016582 Loss_D_fake 0.003084
[1528/5000][40/535][157664] Loss_D: -0.019844 Loss_G: 0.022746 Loss_D_real: -0.015410 Loss_D_fake 0.004434
[1528/5000][45/535][157665] Loss_D: -0.019289 Loss_G: -0.019868 Loss_D_real: 0.001265 Loss_D_fake 0.020554
[1528/5000][50/535][157666] Loss_D: -0.019737 Loss_G: 0.004163 Loss_D_real: -0.016932 Loss_D_fake 0.002805
[1528/5000][55/535][157667] Loss_D: -0.020123 Loss_G: -0.002995 Loss_D_real: -0.013528 Loss_D_fake 0.006595
[1528/5000][60/535][157668] Loss_D: -0.021006 Loss_G: 0.008486 Loss_D_real: -0.012395 Loss_D_fake 0.008610
[1528/5000][65/535][157669] Loss_D: -0.020491 Loss_G: 0.013258 Loss_D_real: -0.027872 Loss_D_fake -0.007381
[1528/5000][70/535][157670] Loss_D: -0.019768 Loss_G: 0.013308 Loss_D_real: -0.024125 Loss_D_fake -0.004357
[1528/5000][75/535][157671] Loss_D: -0.019741 Loss_G: -0.004118 Loss_D_real: -0.016756 Loss_D_fake 0.002985
[1528/5000][80/535][157672] Loss_D: -0.020696 Loss_G: 0.017301 Loss_D_real: -0.018399 Loss_D_fake 0.002297
[1528/5000][85/535][157673] Loss_D: -0.019811 Loss_G: 0.011522 Loss_D_real: -0.010224 Loss_D_fake 0.009587
[1528/5000][90/535][157674] Loss_D: -0.018422 Loss_G: -0.006108 Loss_D_real: -0.013896 Loss_D_fake 0.004526
[1528/5000][95/535][157675] Loss_D: -0.020131 Loss_G: 0.005062 Loss_D_real: -0.024185 Loss_D_fake -0.004054
[1528/5000][100/535][157676] Loss_D: -0.020494 Loss_G: -0.000907 Loss_D_real: -0.000749 Loss_D_fake 0.019745
[1528/5000][105/535][157677] Loss_D: -0.019370 Loss_G: -0.008720 Loss_D_real: -0.001865 Loss_D_fake 0.017504
[1528/5000][110/535][157678] Loss_D: -0.017615 Loss_G: 0.008080 Loss_D_real: -0.021198 Loss_D_fake -0.003584
[1528/5000][115/535][157679] Loss_D: -0.020288 Loss_G: -0.006654 Loss_D_real: 0.002917 Loss_D_fake 0.023205
[1528/5000][120/535][157680] Loss_D: -0.019470 Loss_G: 0.019106 Loss_D_real: -0.019071 Loss_D_fake 0.000399
[1528/5000][125/535][157681] Loss_D: -0.017938 Loss_G: 0.022028 Loss_D_real: -0.033427 Loss_D_fake -0.015489
[1528/5000][130/535][157682] Loss_D: -0.019191 Loss_G: -0.002958 Loss_D_real: -0.001663 Loss_D_fake 0.017528
[1528/5000][135/535][157683] Loss_D: -0.018521 Loss_G: 0.027443 Loss_D_real: -0.021327 Loss_D_fake -0.002806
[1528/5000][140/535][157684] Loss_D: -0.020585 Loss_G: -0.004652 Loss_D_real: -0.012617 Loss_D_fake 0.007968
[1528/5000][145/535][157685] Loss_D: -0.019895 Loss_G: 0.014850 Loss_D_real: -0.023793 Loss_D_fake -0.003897
[1528/5000][150/535][157686] Loss_D: -0.019521 Loss_G: 0.024389 Loss_D_real: -0.032210 Loss_D_fake -0.012689
[1528/5000][155/535][157687] Loss_D: -0.019201 Loss_G: -0.010886 Loss_D_real: -0.010493 Loss_D_fake 0.008708
[1528/5000][160/535][157688] Loss_D: -0.018554 Loss_G: 0.001734 Loss_D_real: -0.008477 Loss_D_fake 0.010077
[1528/5000][165/535][157689] Loss_D: -0.019270 Loss_G: 0.004759 Loss_D_real: -0.021776 Loss_D_fake -0.002506
[1528/5000][170/535][157690] Loss_D: -0.018525 Loss_G: 0.007933 Loss_D_real: -0.007991 Loss_D_fake 0.010534
[1528/5000][175/535][157691] Loss_D: -0.018262 Loss_G: 0.019310 Loss_D_real: -0.036168 Loss_D_fake -0.017906
[1528/5000][180/535][157692] Loss_D: -0.018743 Loss_G: 0.009447 Loss_D_real: -0.029358 Loss_D_fake -0.010615
[1528/5000][185/535][157693] Loss_D: -0.020576 Loss_G: 0.011790 Loss_D_real: -0.028090 Loss_D_fake -0.007513
[1528/5000][190/535][157694] Loss_D: -0.019569 Loss_G: 0.014210 Loss_D_real: -0.019627 Loss_D_fake -0.000058
[1528/5000][195/535][157695] Loss_D: -0.019561 Loss_G: 0.002535 Loss_D_real: -0.005222 Loss_D_fake 0.014339
[1528/5000][200/535][157696] Loss_D: -0.020506 Loss_G: 0.011850 Loss_D_real: -0.017963 Loss_D_fake 0.002542
[1528/5000][205/535][157697] Loss_D: -0.020003 Loss_G: -0.006334 Loss_D_real: -0.005172 Loss_D_fake 0.014831
[1528/5000][210/535][157698] Loss_D: -0.019329 Loss_G: 0.027207 Loss_D_real: -0.033458 Loss_D_fake -0.014129
[1528/5000][215/535][157699] Loss_D: -0.019766 Loss_G: -0.000843 Loss_D_real: -0.012471 Loss_D_fake 0.007295
[1528/5000][220/535][157700] Loss_D: -0.018550 Loss_G: 0.017497 Loss_D_real: -0.027826 Loss_D_fake -0.009276
[1528/5000][225/535][157701] Loss_D: -0.021304 Loss_G: 0.001853 Loss_D_real: -0.013782 Loss_D_fake 0.007522
[1528/5000][230/535][157702] Loss_D: -0.019728 Loss_G: -0.001321 Loss_D_real: -0.003241 Loss_D_fake 0.016486
[1528/5000][235/535][157703] Loss_D: -0.020399 Loss_G: 0.002121 Loss_D_real: -0.025003 Loss_D_fake -0.004604
[1528/5000][240/535][157704] Loss_D: -0.019196 Loss_G: -0.012757 Loss_D_real: -0.015319 Loss_D_fake 0.003877
[1528/5000][245/535][157705] Loss_D: -0.020015 Loss_G: 0.021445 Loss_D_real: -0.022894 Loss_D_fake -0.002879
[1528/5000][250/535][157706] Loss_D: -0.020567 Loss_G: 0.008565 Loss_D_real: -0.016540 Loss_D_fake 0.004027
[1528/5000][255/535][157707] Loss_D: -0.020042 Loss_G: 0.007397 Loss_D_real: -0.008173 Loss_D_fake 0.011869
[1528/5000][260/535][157708] Loss_D: -0.020656 Loss_G: 0.005310 Loss_D_real: -0.015765 Loss_D_fake 0.004891
[1528/5000][265/535][157709] Loss_D: -0.020498 Loss_G: -0.009836 Loss_D_real: -0.015255 Loss_D_fake 0.005243
[1528/5000][270/535][157710] Loss_D: -0.019737 Loss_G: 0.020015 Loss_D_real: -0.006655 Loss_D_fake 0.013082
[1528/5000][275/535][157711] Loss_D: -0.020269 Loss_G: 0.005024 Loss_D_real: -0.024483 Loss_D_fake -0.004213
[1528/5000][280/535][157712] Loss_D: -0.020880 Loss_G: 0.007751 Loss_D_real: -0.019558 Loss_D_fake 0.001322
[1528/5000][285/535][157713] Loss_D: -0.020371 Loss_G: 0.018089 Loss_D_real: -0.017669 Loss_D_fake 0.002702
[1528/5000][290/535][157714] Loss_D: -0.020683 Loss_G: 0.008220 Loss_D_real: -0.010586 Loss_D_fake 0.010097
[1528/5000][295/535][157715] Loss_D: -0.019343 Loss_G: 0.008175 Loss_D_real: -0.024822 Loss_D_fake -0.005479
[1528/5000][300/535][157716] Loss_D: -0.020706 Loss_G: 0.008734 Loss_D_real: -0.008396 Loss_D_fake 0.012309
[1528/5000][305/535][157717] Loss_D: -0.020474 Loss_G: 0.013597 Loss_D_real: -0.027734 Loss_D_fake -0.007261
[1528/5000][310/535][157718] Loss_D: -0.020557 Loss_G: -0.004613 Loss_D_real: -0.018343 Loss_D_fake 0.002214
[1528/5000][315/535][157719] Loss_D: -0.019583 Loss_G: 0.006225 Loss_D_real: -0.012655 Loss_D_fake 0.006928
[1528/5000][320/535][157720] Loss_D: -0.020041 Loss_G: 0.011216 Loss_D_real: -0.011979 Loss_D_fake 0.008062
[1528/5000][325/535][157721] Loss_D: -0.019298 Loss_G: 0.001578 Loss_D_real: -0.015502 Loss_D_fake 0.003796
[1528/5000][330/535][157722] Loss_D: -0.019332 Loss_G: -0.001255 Loss_D_real: -0.002870 Loss_D_fake 0.016462
[1528/5000][335/535][157723] Loss_D: -0.020398 Loss_G: 0.010455 Loss_D_real: -0.023778 Loss_D_fake -0.003381
[1528/5000][340/535][157724] Loss_D: -0.016732 Loss_G: -0.021321 Loss_D_real: 0.001287 Loss_D_fake 0.018019
[1528/5000][345/535][157725] Loss_D: -0.019427 Loss_G: 0.019291 Loss_D_real: -0.023319 Loss_D_fake -0.003891
[1528/5000][350/535][157726] Loss_D: -0.018384 Loss_G: 0.016365 Loss_D_real: -0.033678 Loss_D_fake -0.015295
[1528/5000][355/535][157727] Loss_D: -0.020965 Loss_G: -0.001486 Loss_D_real: -0.002313 Loss_D_fake 0.018652
[1528/5000][360/535][157728] Loss_D: -0.018848 Loss_G: -0.009079 Loss_D_real: -0.011395 Loss_D_fake 0.007453
[1528/5000][365/535][157729] Loss_D: -0.020159 Loss_G: 0.014175 Loss_D_real: -0.007289 Loss_D_fake 0.012870
[1528/5000][370/535][157730] Loss_D: -0.019124 Loss_G: 0.017384 Loss_D_real: -0.020284 Loss_D_fake -0.001159
[1528/5000][375/535][157731] Loss_D: -0.020587 Loss_G: -0.003589 Loss_D_real: -0.003369 Loss_D_fake 0.017218
[1528/5000][380/535][157732] Loss_D: -0.019864 Loss_G: 0.017178 Loss_D_real: -0.028171 Loss_D_fake -0.008307
[1528/5000][385/535][157733] Loss_D: -0.018484 Loss_G: 0.011027 Loss_D_real: -0.030667 Loss_D_fake -0.012182
[1528/5000][390/535][157734] Loss_D: -0.018588 Loss_G: 0.023958 Loss_D_real: -0.025842 Loss_D_fake -0.007255
[1528/5000][395/535][157735] Loss_D: -0.019738 Loss_G: 0.008139 Loss_D_real: -0.027505 Loss_D_fake -0.007767
[1528/5000][400/535][157736] Loss_D: -0.019058 Loss_G: 0.005847 Loss_D_real: -0.007200 Loss_D_fake 0.011858
[1528/5000][405/535][157737] Loss_D: -0.020437 Loss_G: 0.008597 Loss_D_real: -0.016853 Loss_D_fake 0.003584
[1528/5000][410/535][157738] Loss_D: -0.018591 Loss_G: -0.003454 Loss_D_real: -0.013209 Loss_D_fake 0.005383
[1528/5000][415/535][157739] Loss_D: -0.017679 Loss_G: 0.025717 Loss_D_real: -0.027416 Loss_D_fake -0.009736
[1528/5000][420/535][157740] Loss_D: -0.019602 Loss_G: 0.013039 Loss_D_real: -0.025982 Loss_D_fake -0.006381
[1528/5000][425/535][157741] Loss_D: -0.019720 Loss_G: 0.009320 Loss_D_real: -0.016753 Loss_D_fake 0.002967
[1528/5000][430/535][157742] Loss_D: -0.019548 Loss_G: 0.005548 Loss_D_real: -0.014919 Loss_D_fake 0.004630
[1528/5000][435/535][157743] Loss_D: -0.019771 Loss_G: -0.000202 Loss_D_real: -0.012029 Loss_D_fake 0.007743
[1528/5000][440/535][157744] Loss_D: -0.020003 Loss_G: -0.006683 Loss_D_real: -0.016539 Loss_D_fake 0.003463
[1528/5000][445/535][157745] Loss_D: -0.020832 Loss_G: 0.000252 Loss_D_real: -0.025184 Loss_D_fake -0.004352
[1528/5000][450/535][157746] Loss_D: -0.019454 Loss_G: -0.007472 Loss_D_real: -0.004587 Loss_D_fake 0.014868
[1528/5000][455/535][157747] Loss_D: -0.018563 Loss_G: 0.018668 Loss_D_real: -0.019773 Loss_D_fake -0.001210
[1528/5000][460/535][157748] Loss_D: -0.019210 Loss_G: 0.014762 Loss_D_real: -0.025464 Loss_D_fake -0.006254
[1528/5000][465/535][157749] Loss_D: -0.019302 Loss_G: 0.017522 Loss_D_real: -0.016308 Loss_D_fake 0.002994
[1528/5000][470/535][157750] Loss_D: -0.018985 Loss_G: 0.009942 Loss_D_real: -0.017363 Loss_D_fake 0.001622
[1528/5000][475/535][157751] Loss_D: -0.018342 Loss_G: 0.015441 Loss_D_real: -0.007851 Loss_D_fake 0.010491
[1528/5000][480/535][157752] Loss_D: -0.019738 Loss_G: 0.011690 Loss_D_real: -0.019875 Loss_D_fake -0.000137
[1528/5000][485/535][157753] Loss_D: -0.019002 Loss_G: 0.020931 Loss_D_real: -0.038793 Loss_D_fake -0.019790
[1528/5000][490/535][157754] Loss_D: -0.021396 Loss_G: 0.008246 Loss_D_real: -0.012939 Loss_D_fake 0.008457
[1528/5000][495/535][157755] Loss_D: -0.019912 Loss_G: -0.007140 Loss_D_real: -0.007647 Loss_D_fake 0.012265
[1528/5000][500/535][157756] Loss_D: -0.018902 Loss_G: 0.033588 Loss_D_real: -0.031354 Loss_D_fake -0.012452
[1528/5000][505/535][157757] Loss_D: -0.021079 Loss_G: -0.001737 Loss_D_real: -0.013046 Loss_D_fake 0.008034
[1528/5000][510/535][157758] Loss_D: -0.018746 Loss_G: -0.000642 Loss_D_real: -0.004110 Loss_D_fake 0.014637
[1528/5000][515/535][157759] Loss_D: -0.019889 Loss_G: 0.016032 Loss_D_real: -0.024575 Loss_D_fake -0.004686
[1528/5000][520/535][157760] Loss_D: -0.019602 Loss_G: 0.003061 Loss_D_real: -0.024183 Loss_D_fake -0.004580
[1528/5000][525/535][157761] Loss_D: -0.019638 Loss_G: -0.010774 Loss_D_real: -0.002174 Loss_D_fake 0.017464
[1528/5000][530/535][157762] Loss_D: -0.018919 Loss_G: 0.019968 Loss_D_real: -0.020573 Loss_D_fake -0.001655
[1528/5000][535/535][157763] Loss_D: -0.019966 Loss_G: 0.038374 Loss_D_real: -0.021386 Loss_D_fake -0.001420
[1529/5000][5/535][157764] Loss_D: -0.018550 Loss_G: 0.006593 Loss_D_real: -0.019945 Loss_D_fake -0.001395
[1529/5000][10/535][157765] Loss_D: -0.018570 Loss_G: 0.004693 Loss_D_real: -0.006818 Loss_D_fake 0.011753
[1529/5000][15/535][157766] Loss_D: -0.019821 Loss_G: 0.020466 Loss_D_real: -0.023227 Loss_D_fake -0.003406
[1529/5000][20/535][157767] Loss_D: -0.018993 Loss_G: -0.005099 Loss_D_real: -0.011701 Loss_D_fake 0.007292
[1529/5000][25/535][157768] Loss_D: -0.019606 Loss_G: 0.010678 Loss_D_real: -0.018205 Loss_D_fake 0.001401
[1529/5000][30/535][157769] Loss_D: -0.020479 Loss_G: -0.011153 Loss_D_real: -0.017749 Loss_D_fake 0.002731
[1529/5000][35/535][157770] Loss_D: -0.019195 Loss_G: 0.028610 Loss_D_real: -0.020280 Loss_D_fake -0.001085
[1529/5000][40/535][157771] Loss_D: -0.020837 Loss_G: 0.001277 Loss_D_real: -0.019321 Loss_D_fake 0.001516
[1529/5000][45/535][157772] Loss_D: -0.021304 Loss_G: 0.006503 Loss_D_real: -0.020793 Loss_D_fake 0.000511
[1529/5000][50/535][157773] Loss_D: -0.019977 Loss_G: 0.005710 Loss_D_real: -0.012680 Loss_D_fake 0.007298
[1529/5000][55/535][157774] Loss_D: -0.020280 Loss_G: 0.002112 Loss_D_real: -0.012122 Loss_D_fake 0.008157
[1529/5000][60/535][157775] Loss_D: -0.021146 Loss_G: 0.013858 Loss_D_real: -0.011959 Loss_D_fake 0.009187
[1529/5000][65/535][157776] Loss_D: -0.020366 Loss_G: 0.010538 Loss_D_real: -0.002771 Loss_D_fake 0.017594
[1529/5000][70/535][157777] Loss_D: -0.019183 Loss_G: 0.008813 Loss_D_real: -0.019104 Loss_D_fake 0.000079
[1529/5000][75/535][157778] Loss_D: -0.019288 Loss_G: -0.002592 Loss_D_real: -0.021702 Loss_D_fake -0.002414
[1529/5000][80/535][157779] Loss_D: -0.019166 Loss_G: -0.002523 Loss_D_real: -0.013692 Loss_D_fake 0.005473
[1529/5000][85/535][157780] Loss_D: -0.019240 Loss_G: 0.008307 Loss_D_real: -0.010087 Loss_D_fake 0.009154
[1529/5000][90/535][157781] Loss_D: -0.019959 Loss_G: 0.011971 Loss_D_real: -0.025526 Loss_D_fake -0.005567
[1529/5000][95/535][157782] Loss_D: -0.020621 Loss_G: 0.001049 Loss_D_real: -0.012007 Loss_D_fake 0.008615
[1529/5000][100/535][157783] Loss_D: -0.018951 Loss_G: 0.019582 Loss_D_real: -0.022040 Loss_D_fake -0.003089
[1529/5000][105/535][157784] Loss_D: -0.019332 Loss_G: 0.009043 Loss_D_real: -0.014484 Loss_D_fake 0.004848
[1529/5000][110/535][157785] Loss_D: -0.019190 Loss_G: 0.024637 Loss_D_real: -0.026818 Loss_D_fake -0.007628
[1529/5000][115/535][157786] Loss_D: -0.018689 Loss_G: -0.001720 Loss_D_real: -0.015467 Loss_D_fake 0.003222
[1529/5000][120/535][157787] Loss_D: -0.019319 Loss_G: -0.012745 Loss_D_real: -0.011936 Loss_D_fake 0.007383
[1529/5000][125/535][157788] Loss_D: -0.018749 Loss_G: 0.000240 Loss_D_real: -0.019934 Loss_D_fake -0.001185
[1529/5000][130/535][157789] Loss_D: -0.019442 Loss_G: -0.009565 Loss_D_real: -0.001283 Loss_D_fake 0.018158
[1529/5000][135/535][157790] Loss_D: -0.018604 Loss_G: 0.011059 Loss_D_real: -0.034934 Loss_D_fake -0.016330
[1529/5000][140/535][157791] Loss_D: -0.018456 Loss_G: -0.002822 Loss_D_real: 0.000625 Loss_D_fake 0.019081
[1529/5000][145/535][157792] Loss_D: -0.017910 Loss_G: 0.008874 Loss_D_real: -0.021378 Loss_D_fake -0.003468
[1529/5000][150/535][157793] Loss_D: -0.019523 Loss_G: 0.001651 Loss_D_real: -0.008371 Loss_D_fake 0.011152
[1529/5000][155/535][157794] Loss_D: -0.019865 Loss_G: -0.011114 Loss_D_real: -0.011628 Loss_D_fake 0.008237
[1529/5000][160/535][157795] Loss_D: -0.018657 Loss_G: -0.010874 Loss_D_real: -0.007923 Loss_D_fake 0.010734
[1529/5000][165/535][157796] Loss_D: -0.020042 Loss_G: -0.002400 Loss_D_real: 0.000169 Loss_D_fake 0.020211
[1529/5000][170/535][157797] Loss_D: -0.017635 Loss_G: -0.008249 Loss_D_real: 0.004141 Loss_D_fake 0.021776
[1529/5000][175/535][157798] Loss_D: -0.018763 Loss_G: 0.007075 Loss_D_real: -0.017811 Loss_D_fake 0.000952
[1529/5000][180/535][157799] Loss_D: -0.019530 Loss_G: 0.019130 Loss_D_real: -0.016737 Loss_D_fake 0.002793
[1529/5000][185/535][157800] Loss_D: -0.018532 Loss_G: 0.007632 Loss_D_real: -0.010021 Loss_D_fake 0.008511
[1529/5000][190/535][157801] Loss_D: -0.017972 Loss_G: -0.005568 Loss_D_real: -0.000018 Loss_D_fake 0.017954
[1529/5000][195/535][157802] Loss_D: -0.019702 Loss_G: 0.008369 Loss_D_real: -0.024050 Loss_D_fake -0.004347
[1529/5000][200/535][157803] Loss_D: -0.018368 Loss_G: 0.022747 Loss_D_real: -0.026490 Loss_D_fake -0.008122
[1529/5000][205/535][157804] Loss_D: -0.020128 Loss_G: -0.000211 Loss_D_real: -0.018566 Loss_D_fake 0.001562
[1529/5000][210/535][157805] Loss_D: -0.020302 Loss_G: 0.013519 Loss_D_real: -0.020267 Loss_D_fake 0.000035
[1529/5000][215/535][157806] Loss_D: -0.020173 Loss_G: 0.009773 Loss_D_real: -0.021726 Loss_D_fake -0.001553
[1529/5000][220/535][157807] Loss_D: -0.019238 Loss_G: 0.008157 Loss_D_real: -0.008117 Loss_D_fake 0.011122
[1529/5000][225/535][157808] Loss_D: -0.019211 Loss_G: 0.001809 Loss_D_real: -0.015970 Loss_D_fake 0.003241
[1529/5000][230/535][157809] Loss_D: -0.017983 Loss_G: -0.000177 Loss_D_real: -0.020363 Loss_D_fake -0.002380
[1529/5000][235/535][157810] Loss_D: -0.018346 Loss_G: -0.017869 Loss_D_real: -0.000662 Loss_D_fake 0.017684
[1529/5000][240/535][157811] Loss_D: -0.019700 Loss_G: 0.003802 Loss_D_real: -0.003789 Loss_D_fake 0.015910
[1529/5000][245/535][157812] Loss_D: -0.018494 Loss_G: -0.007870 Loss_D_real: -0.007553 Loss_D_fake 0.010941
[1529/5000][250/535][157813] Loss_D: -0.019550 Loss_G: 0.014547 Loss_D_real: -0.028485 Loss_D_fake -0.008935
[1529/5000][255/535][157814] Loss_D: -0.019107 Loss_G: 0.030350 Loss_D_real: -0.025671 Loss_D_fake -0.006565
[1529/5000][260/535][157815] Loss_D: -0.019355 Loss_G: 0.008671 Loss_D_real: -0.020887 Loss_D_fake -0.001532
[1529/5000][265/535][157816] Loss_D: -0.019646 Loss_G: 0.014212 Loss_D_real: -0.011422 Loss_D_fake 0.008224
[1529/5000][270/535][157817] Loss_D: -0.018855 Loss_G: 0.022687 Loss_D_real: -0.020458 Loss_D_fake -0.001602
[1529/5000][275/535][157818] Loss_D: -0.019102 Loss_G: -0.007434 Loss_D_real: -0.007059 Loss_D_fake 0.012043
[1529/5000][280/535][157819] Loss_D: -0.021268 Loss_G: 0.010309 Loss_D_real: -0.017418 Loss_D_fake 0.003850
[1529/5000][285/535][157820] Loss_D: -0.019391 Loss_G: -0.001401 Loss_D_real: -0.011655 Loss_D_fake 0.007736
[1529/5000][290/535][157821] Loss_D: -0.019421 Loss_G: 0.003680 Loss_D_real: -0.014747 Loss_D_fake 0.004674
[1529/5000][295/535][157822] Loss_D: -0.019559 Loss_G: -0.004166 Loss_D_real: -0.006727 Loss_D_fake 0.012832
[1529/5000][300/535][157823] Loss_D: -0.020426 Loss_G: 0.007323 Loss_D_real: -0.012975 Loss_D_fake 0.007451
[1529/5000][305/535][157824] Loss_D: -0.020921 Loss_G: 0.018893 Loss_D_real: -0.021860 Loss_D_fake -0.000939
[1529/5000][310/535][157825] Loss_D: -0.019175 Loss_G: 0.026865 Loss_D_real: -0.032482 Loss_D_fake -0.013307
[1529/5000][315/535][157826] Loss_D: -0.021357 Loss_G: 0.007343 Loss_D_real: -0.008951 Loss_D_fake 0.012407
[1529/5000][320/535][157827] Loss_D: -0.020001 Loss_G: -0.015568 Loss_D_real: -0.005560 Loss_D_fake 0.014441
[1529/5000][325/535][157828] Loss_D: -0.019227 Loss_G: 0.004395 Loss_D_real: -0.006695 Loss_D_fake 0.012533
[1529/5000][330/535][157829] Loss_D: -0.019203 Loss_G: 0.021798 Loss_D_real: -0.024862 Loss_D_fake -0.005659
[1529/5000][335/535][157830] Loss_D: -0.019884 Loss_G: 0.006703 Loss_D_real: -0.005810 Loss_D_fake 0.014074
[1529/5000][340/535][157831] Loss_D: -0.019504 Loss_G: -0.004439 Loss_D_real: -0.016466 Loss_D_fake 0.003039
[1529/5000][345/535][157832] Loss_D: -0.020276 Loss_G: 0.015950 Loss_D_real: -0.009090 Loss_D_fake 0.011186
[1529/5000][350/535][157833] Loss_D: -0.018648 Loss_G: 0.019836 Loss_D_real: -0.031709 Loss_D_fake -0.013061
[1529/5000][355/535][157834] Loss_D: -0.019886 Loss_G: 0.014165 Loss_D_real: -0.017093 Loss_D_fake 0.002793
[1529/5000][360/535][157835] Loss_D: -0.019776 Loss_G: 0.009818 Loss_D_real: -0.022777 Loss_D_fake -0.003000
[1529/5000][365/535][157836] Loss_D: -0.020040 Loss_G: 0.000667 Loss_D_real: -0.010868 Loss_D_fake 0.009172
[1529/5000][370/535][157837] Loss_D: -0.019773 Loss_G: 0.018336 Loss_D_real: -0.025441 Loss_D_fake -0.005668
[1529/5000][375/535][157838] Loss_D: -0.019199 Loss_G: 0.015804 Loss_D_real: -0.019911 Loss_D_fake -0.000712
[1529/5000][380/535][157839] Loss_D: -0.020754 Loss_G: 0.015978 Loss_D_real: -0.023736 Loss_D_fake -0.002982
[1529/5000][385/535][157840] Loss_D: -0.019413 Loss_G: 0.004291 Loss_D_real: -0.014432 Loss_D_fake 0.004981
[1529/5000][390/535][157841] Loss_D: -0.020529 Loss_G: 0.004414 Loss_D_real: -0.010029 Loss_D_fake 0.010500
[1529/5000][395/535][157842] Loss_D: -0.020232 Loss_G: -0.007961 Loss_D_real: -0.006397 Loss_D_fake 0.013835
[1529/5000][400/535][157843] Loss_D: -0.018698 Loss_G: 0.029699 Loss_D_real: -0.036854 Loss_D_fake -0.018156
[1529/5000][405/535][157844] Loss_D: -0.020304 Loss_G: 0.014459 Loss_D_real: -0.035998 Loss_D_fake -0.015694
[1529/5000][410/535][157845] Loss_D: -0.020186 Loss_G: 0.005146 Loss_D_real: -0.020402 Loss_D_fake -0.000216
[1529/5000][415/535][157846] Loss_D: -0.020135 Loss_G: 0.008977 Loss_D_real: -0.012603 Loss_D_fake 0.007533
[1529/5000][420/535][157847] Loss_D: -0.019214 Loss_G: 0.003940 Loss_D_real: -0.007460 Loss_D_fake 0.011754
[1529/5000][425/535][157848] Loss_D: -0.017242 Loss_G: 0.031557 Loss_D_real: -0.030366 Loss_D_fake -0.013124
[1529/5000][430/535][157849] Loss_D: -0.020000 Loss_G: 0.008828 Loss_D_real: -0.026402 Loss_D_fake -0.006402
[1529/5000][435/535][157850] Loss_D: -0.019670 Loss_G: 0.000153 Loss_D_real: -0.023332 Loss_D_fake -0.003662
[1529/5000][440/535][157851] Loss_D: -0.019722 Loss_G: -0.003080 Loss_D_real: -0.017800 Loss_D_fake 0.001922
[1529/5000][445/535][157852] Loss_D: -0.020013 Loss_G: 0.010168 Loss_D_real: -0.023297 Loss_D_fake -0.003284
[1529/5000][450/535][157853] Loss_D: -0.019992 Loss_G: 0.002404 Loss_D_real: -0.012787 Loss_D_fake 0.007205
[1529/5000][455/535][157854] Loss_D: -0.019784 Loss_G: 0.001771 Loss_D_real: -0.005416 Loss_D_fake 0.014367
[1529/5000][460/535][157855] Loss_D: -0.021042 Loss_G: 0.005772 Loss_D_real: -0.023158 Loss_D_fake -0.002116
[1529/5000][465/535][157856] Loss_D: -0.019421 Loss_G: -0.004003 Loss_D_real: -0.009395 Loss_D_fake 0.010026
[1529/5000][470/535][157857] Loss_D: -0.019593 Loss_G: 0.011059 Loss_D_real: -0.014088 Loss_D_fake 0.005506
[1529/5000][475/535][157858] Loss_D: -0.021324 Loss_G: 0.002842 Loss_D_real: -0.008956 Loss_D_fake 0.012369
[1529/5000][480/535][157859] Loss_D: -0.018823 Loss_G: 0.040038 Loss_D_real: -0.024621 Loss_D_fake -0.005797
[1529/5000][485/535][157860] Loss_D: -0.019148 Loss_G: 0.006553 Loss_D_real: -0.020593 Loss_D_fake -0.001445
[1529/5000][490/535][157861] Loss_D: -0.019453 Loss_G: 0.008146 Loss_D_real: -0.026803 Loss_D_fake -0.007351
[1529/5000][495/535][157862] Loss_D: -0.019864 Loss_G: 0.008659 Loss_D_real: -0.014310 Loss_D_fake 0.005554
[1529/5000][500/535][157863] Loss_D: -0.019027 Loss_G: 0.026639 Loss_D_real: -0.016396 Loss_D_fake 0.002631
[1529/5000][505/535][157864] Loss_D: -0.019978 Loss_G: 0.002384 Loss_D_real: -0.015341 Loss_D_fake 0.004637
[1529/5000][510/535][157865] Loss_D: -0.018647 Loss_G: 0.001134 Loss_D_real: -0.005770 Loss_D_fake 0.012877
[1529/5000][515/535][157866] Loss_D: -0.019070 Loss_G: -0.006287 Loss_D_real: -0.017073 Loss_D_fake 0.001998
[1529/5000][520/535][157867] Loss_D: -0.019296 Loss_G: 0.000907 Loss_D_real: -0.008575 Loss_D_fake 0.010720
[1529/5000][525/535][157868] Loss_D: -0.021090 Loss_G: 0.015113 Loss_D_real: -0.007670 Loss_D_fake 0.013420
[1529/5000][530/535][157869] Loss_D: -0.019314 Loss_G: 0.004275 Loss_D_real: -0.003881 Loss_D_fake 0.015432
[1529/5000][535/535][157870] Loss_D: -0.021364 Loss_G: 0.006131 Loss_D_real: -0.008044 Loss_D_fake 0.013319
[1530/5000][5/535][157871] Loss_D: -0.020183 Loss_G: 0.020781 Loss_D_real: -0.029088 Loss_D_fake -0.008905
[1530/5000][10/535][157872] Loss_D: -0.018973 Loss_G: 0.021033 Loss_D_real: -0.020965 Loss_D_fake -0.001992
[1530/5000][15/535][157873] Loss_D: -0.020747 Loss_G: 0.013867 Loss_D_real: -0.029707 Loss_D_fake -0.008960
[1530/5000][20/535][157874] Loss_D: -0.019571 Loss_G: 0.008507 Loss_D_real: -0.017168 Loss_D_fake 0.002403
[1530/5000][25/535][157875] Loss_D: -0.020096 Loss_G: 0.007421 Loss_D_real: -0.014772 Loss_D_fake 0.005324
[1530/5000][30/535][157876] Loss_D: -0.019420 Loss_G: 0.004480 Loss_D_real: -0.021715 Loss_D_fake -0.002295
[1530/5000][35/535][157877] Loss_D: -0.020388 Loss_G: 0.004299 Loss_D_real: -0.007614 Loss_D_fake 0.012774
[1530/5000][40/535][157878] Loss_D: -0.019140 Loss_G: 0.016673 Loss_D_real: -0.027851 Loss_D_fake -0.008711
[1530/5000][45/535][157879] Loss_D: -0.020057 Loss_G: -0.010856 Loss_D_real: -0.005829 Loss_D_fake 0.014228
[1530/5000][50/535][157880] Loss_D: -0.020271 Loss_G: 0.010105 Loss_D_real: -0.008404 Loss_D_fake 0.011867
[1530/5000][55/535][157881] Loss_D: -0.019037 Loss_G: 0.011464 Loss_D_real: -0.023506 Loss_D_fake -0.004470
[1530/5000][60/535][157882] Loss_D: -0.019595 Loss_G: 0.004045 Loss_D_real: -0.009836 Loss_D_fake 0.009759
[1530/5000][65/535][157883] Loss_D: -0.021139 Loss_G: -0.000497 Loss_D_real: -0.013919 Loss_D_fake 0.007219
[1530/5000][70/535][157884] Loss_D: -0.019529 Loss_G: -0.004568 Loss_D_real: -0.013683 Loss_D_fake 0.005846
[1530/5000][75/535][157885] Loss_D: -0.019058 Loss_G: -0.009394 Loss_D_real: 0.002936 Loss_D_fake 0.021994
[1530/5000][80/535][157886] Loss_D: -0.019244 Loss_G: -0.001305 Loss_D_real: -0.007861 Loss_D_fake 0.011383
[1530/5000][85/535][157887] Loss_D: -0.019468 Loss_G: 0.015429 Loss_D_real: -0.032591 Loss_D_fake -0.013123
[1530/5000][90/535][157888] Loss_D: -0.018759 Loss_G: 0.019411 Loss_D_real: -0.036967 Loss_D_fake -0.018208
[1530/5000][95/535][157889] Loss_D: -0.020836 Loss_G: 0.017527 Loss_D_real: -0.013333 Loss_D_fake 0.007503
[1530/5000][100/535][157890] Loss_D: -0.020866 Loss_G: 0.012938 Loss_D_real: -0.015394 Loss_D_fake 0.005472
[1530/5000][105/535][157891] Loss_D: -0.019700 Loss_G: 0.019276 Loss_D_real: -0.025543 Loss_D_fake -0.005843
[1530/5000][110/535][157892] Loss_D: -0.020831 Loss_G: 0.004983 Loss_D_real: -0.013263 Loss_D_fake 0.007568
[1530/5000][115/535][157893] Loss_D: -0.019598 Loss_G: 0.015161 Loss_D_real: -0.020144 Loss_D_fake -0.000546
[1530/5000][120/535][157894] Loss_D: -0.018791 Loss_G: 0.026999 Loss_D_real: -0.015540 Loss_D_fake 0.003251
[1530/5000][125/535][157895] Loss_D: -0.017698 Loss_G: 0.026750 Loss_D_real: -0.030536 Loss_D_fake -0.012838
[1530/5000][130/535][157896] Loss_D: -0.020026 Loss_G: 0.010984 Loss_D_real: -0.024739 Loss_D_fake -0.004713
[1530/5000][135/535][157897] Loss_D: -0.020061 Loss_G: 0.011802 Loss_D_real: -0.014365 Loss_D_fake 0.005696
[1530/5000][140/535][157898] Loss_D: -0.020053 Loss_G: -0.006509 Loss_D_real: -0.001646 Loss_D_fake 0.018407
[1530/5000][145/535][157899] Loss_D: -0.018565 Loss_G: 0.014966 Loss_D_real: -0.013023 Loss_D_fake 0.005542
[1530/5000][150/535][157900] Loss_D: -0.019693 Loss_G: -0.003241 Loss_D_real: -0.010925 Loss_D_fake 0.008768
[1530/5000][155/535][157901] Loss_D: -0.019696 Loss_G: 0.016568 Loss_D_real: -0.027703 Loss_D_fake -0.008006
[1530/5000][160/535][157902] Loss_D: -0.019784 Loss_G: 0.017728 Loss_D_real: -0.021128 Loss_D_fake -0.001344
[1530/5000][165/535][157903] Loss_D: -0.018543 Loss_G: -0.001558 Loss_D_real: -0.015069 Loss_D_fake 0.003475
[1530/5000][170/535][157904] Loss_D: -0.019362 Loss_G: 0.019382 Loss_D_real: -0.027438 Loss_D_fake -0.008075
[1530/5000][175/535][157905] Loss_D: -0.019613 Loss_G: 0.022116 Loss_D_real: -0.022623 Loss_D_fake -0.003010
[1530/5000][180/535][157906] Loss_D: -0.018707 Loss_G: 0.014679 Loss_D_real: -0.014804 Loss_D_fake 0.003903
[1530/5000][185/535][157907] Loss_D: -0.019803 Loss_G: -0.020573 Loss_D_real: -0.007543 Loss_D_fake 0.012260
[1530/5000][190/535][157908] Loss_D: -0.018554 Loss_G: 0.029670 Loss_D_real: -0.019548 Loss_D_fake -0.000994
[1530/5000][195/535][157909] Loss_D: -0.019484 Loss_G: 0.003580 Loss_D_real: -0.024726 Loss_D_fake -0.005242
[1530/5000][200/535][157910] Loss_D: -0.019814 Loss_G: 0.004145 Loss_D_real: -0.003437 Loss_D_fake 0.016376
[1530/5000][205/535][157911] Loss_D: -0.019832 Loss_G: 0.027105 Loss_D_real: -0.026065 Loss_D_fake -0.006233
[1530/5000][210/535][157912] Loss_D: -0.019030 Loss_G: 0.008249 Loss_D_real: -0.017100 Loss_D_fake 0.001930
[1530/5000][215/535][157913] Loss_D: -0.019061 Loss_G: 0.013742 Loss_D_real: -0.024401 Loss_D_fake -0.005340
[1530/5000][220/535][157914] Loss_D: -0.020096 Loss_G: -0.002461 Loss_D_real: -0.010872 Loss_D_fake 0.009224
[1530/5000][225/535][157915] Loss_D: -0.019619 Loss_G: 0.009572 Loss_D_real: -0.007264 Loss_D_fake 0.012355
[1530/5000][230/535][157916] Loss_D: -0.019194 Loss_G: 0.008791 Loss_D_real: -0.017106 Loss_D_fake 0.002089
[1530/5000][235/535][157917] Loss_D: -0.019718 Loss_G: 0.004959 Loss_D_real: -0.007331 Loss_D_fake 0.012387
[1530/5000][240/535][157918] Loss_D: -0.019653 Loss_G: 0.010278 Loss_D_real: -0.002040 Loss_D_fake 0.017613
[1530/5000][245/535][157919] Loss_D: -0.017445 Loss_G: 0.014018 Loss_D_real: -0.021935 Loss_D_fake -0.004490
[1530/5000][250/535][157920] Loss_D: -0.020055 Loss_G: 0.012304 Loss_D_real: -0.011063 Loss_D_fake 0.008991
[1530/5000][255/535][157921] Loss_D: -0.018513 Loss_G: 0.009387 Loss_D_real: -0.022162 Loss_D_fake -0.003649
[1530/5000][260/535][157922] Loss_D: -0.020615 Loss_G: 0.003342 Loss_D_real: -0.014733 Loss_D_fake 0.005882
[1530/5000][265/535][157923] Loss_D: -0.019933 Loss_G: 0.010658 Loss_D_real: -0.025449 Loss_D_fake -0.005516
[1530/5000][270/535][157924] Loss_D: -0.019543 Loss_G: 0.019765 Loss_D_real: -0.027460 Loss_D_fake -0.007917
[1530/5000][275/535][157925] Loss_D: -0.020168 Loss_G: 0.011304 Loss_D_real: -0.025549 Loss_D_fake -0.005382
[1530/5000][280/535][157926] Loss_D: -0.018471 Loss_G: 0.027163 Loss_D_real: -0.039202 Loss_D_fake -0.020731
[1530/5000][285/535][157927] Loss_D: -0.019358 Loss_G: 0.004607 Loss_D_real: -0.014714 Loss_D_fake 0.004644
[1530/5000][290/535][157928] Loss_D: -0.019676 Loss_G: 0.012457 Loss_D_real: -0.035412 Loss_D_fake -0.015736
[1530/5000][295/535][157929] Loss_D: -0.019588 Loss_G: 0.010705 Loss_D_real: 0.003254 Loss_D_fake 0.022842
[1530/5000][300/535][157930] Loss_D: -0.021043 Loss_G: -0.013825 Loss_D_real: -0.009685 Loss_D_fake 0.011358
[1530/5000][305/535][157931] Loss_D: -0.020116 Loss_G: 0.009833 Loss_D_real: -0.013570 Loss_D_fake 0.006546
[1530/5000][310/535][157932] Loss_D: -0.021659 Loss_G: 0.008744 Loss_D_real: -0.005817 Loss_D_fake 0.015843
[1530/5000][315/535][157933] Loss_D: -0.021767 Loss_G: 0.009773 Loss_D_real: -0.014806 Loss_D_fake 0.006961
[1530/5000][320/535][157934] Loss_D: -0.020439 Loss_G: 0.027050 Loss_D_real: -0.022867 Loss_D_fake -0.002428
[1530/5000][325/535][157935] Loss_D: -0.021226 Loss_G: 0.013003 Loss_D_real: -0.016173 Loss_D_fake 0.005053
[1530/5000][330/535][157936] Loss_D: -0.019509 Loss_G: 0.023431 Loss_D_real: -0.037341 Loss_D_fake -0.017832
[1530/5000][335/535][157937] Loss_D: -0.021032 Loss_G: 0.009969 Loss_D_real: -0.032579 Loss_D_fake -0.011547
[1530/5000][340/535][157938] Loss_D: -0.019696 Loss_G: 0.015014 Loss_D_real: -0.023389 Loss_D_fake -0.003693
[1530/5000][345/535][157939] Loss_D: -0.019149 Loss_G: 0.012586 Loss_D_real: -0.018216 Loss_D_fake 0.000932
[1530/5000][350/535][157940] Loss_D: -0.019380 Loss_G: -0.001429 Loss_D_real: -0.000061 Loss_D_fake 0.019319
[1530/5000][355/535][157941] Loss_D: -0.019272 Loss_G: -0.006055 Loss_D_real: -0.005268 Loss_D_fake 0.014004
[1530/5000][360/535][157942] Loss_D: -0.019389 Loss_G: 0.001506 Loss_D_real: -0.007104 Loss_D_fake 0.012285
[1530/5000][365/535][157943] Loss_D: -0.019062 Loss_G: 0.002111 Loss_D_real: -0.004720 Loss_D_fake 0.014342
[1530/5000][370/535][157944] Loss_D: -0.018827 Loss_G: -0.001196 Loss_D_real: -0.014214 Loss_D_fake 0.004613
[1530/5000][375/535][157945] Loss_D: -0.019709 Loss_G: 0.005847 Loss_D_real: -0.008635 Loss_D_fake 0.011074
[1530/5000][380/535][157946] Loss_D: -0.019647 Loss_G: 0.019661 Loss_D_real: -0.013864 Loss_D_fake 0.005784
[1530/5000][385/535][157947] Loss_D: -0.019688 Loss_G: 0.007226 Loss_D_real: -0.018540 Loss_D_fake 0.001148
[1530/5000][390/535][157948] Loss_D: -0.017027 Loss_G: 0.020591 Loss_D_real: -0.042216 Loss_D_fake -0.025189
[1530/5000][395/535][157949] Loss_D: -0.020625 Loss_G: 0.007880 Loss_D_real: -0.020672 Loss_D_fake -0.000047
[1530/5000][400/535][157950] Loss_D: -0.019841 Loss_G: 0.001694 Loss_D_real: -0.018847 Loss_D_fake 0.000994
[1530/5000][405/535][157951] Loss_D: -0.019453 Loss_G: 0.015927 Loss_D_real: -0.011572 Loss_D_fake 0.007881
[1530/5000][410/535][157952] Loss_D: -0.018919 Loss_G: 0.019654 Loss_D_real: -0.028380 Loss_D_fake -0.009461
[1530/5000][415/535][157953] Loss_D: -0.020253 Loss_G: -0.004395 Loss_D_real: -0.007379 Loss_D_fake 0.012874
[1530/5000][420/535][157954] Loss_D: -0.019134 Loss_G: 0.003492 Loss_D_real: -0.014984 Loss_D_fake 0.004150
[1530/5000][425/535][157955] Loss_D: -0.020290 Loss_G: -0.001432 Loss_D_real: -0.005831 Loss_D_fake 0.014459
[1530/5000][430/535][157956] Loss_D: -0.018884 Loss_G: 0.024602 Loss_D_real: -0.017028 Loss_D_fake 0.001856
[1530/5000][435/535][157957] Loss_D: -0.018551 Loss_G: -0.009439 Loss_D_real: 0.008825 Loss_D_fake 0.027376
[1530/5000][440/535][157958] Loss_D: -0.019031 Loss_G: 0.014141 Loss_D_real: -0.017495 Loss_D_fake 0.001536
[1530/5000][445/535][157959] Loss_D: -0.018784 Loss_G: 0.003472 Loss_D_real: -0.014949 Loss_D_fake 0.003836
[1530/5000][450/535][157960] Loss_D: -0.020077 Loss_G: 0.008954 Loss_D_real: -0.007079 Loss_D_fake 0.012999
[1530/5000][455/535][157961] Loss_D: -0.018811 Loss_G: 0.007306 Loss_D_real: -0.003865 Loss_D_fake 0.014946
[1530/5000][460/535][157962] Loss_D: -0.020707 Loss_G: 0.008145 Loss_D_real: -0.010183 Loss_D_fake 0.010525
[1530/5000][465/535][157963] Loss_D: -0.019747 Loss_G: 0.010808 Loss_D_real: -0.018562 Loss_D_fake 0.001185
[1530/5000][470/535][157964] Loss_D: -0.020317 Loss_G: 0.009583 Loss_D_real: -0.028781 Loss_D_fake -0.008464
[1530/5000][475/535][157965] Loss_D: -0.019308 Loss_G: 0.030302 Loss_D_real: -0.023003 Loss_D_fake -0.003695
[1530/5000][480/535][157966] Loss_D: -0.019897 Loss_G: 0.021173 Loss_D_real: -0.033652 Loss_D_fake -0.013755
[1530/5000][485/535][157967] Loss_D: -0.020094 Loss_G: 0.023968 Loss_D_real: -0.031730 Loss_D_fake -0.011637
[1530/5000][490/535][157968] Loss_D: -0.019141 Loss_G: 0.002563 Loss_D_real: -0.008982 Loss_D_fake 0.010159
[1530/5000][495/535][157969] Loss_D: -0.020602 Loss_G: 0.000513 Loss_D_real: -0.013496 Loss_D_fake 0.007106
[1530/5000][500/535][157970] Loss_D: -0.019647 Loss_G: 0.010486 Loss_D_real: -0.019775 Loss_D_fake -0.000127
[1530/5000][505/535][157971] Loss_D: -0.019593 Loss_G: -0.005166 Loss_D_real: -0.007156 Loss_D_fake 0.012437
[1530/5000][510/535][157972] Loss_D: -0.019521 Loss_G: 0.018648 Loss_D_real: -0.029627 Loss_D_fake -0.010106
[1530/5000][515/535][157973] Loss_D: -0.020163 Loss_G: 0.007317 Loss_D_real: -0.014083 Loss_D_fake 0.006079
[1530/5000][520/535][157974] Loss_D: -0.020503 Loss_G: 0.002568 Loss_D_real: -0.011641 Loss_D_fake 0.008863
[1530/5000][525/535][157975] Loss_D: -0.020036 Loss_G: 0.015728 Loss_D_real: -0.026656 Loss_D_fake -0.006619
[1530/5000][530/535][157976] Loss_D: -0.020669 Loss_G: 0.005552 Loss_D_real: -0.014999 Loss_D_fake 0.005670
[1530/5000][535/535][157977] Loss_D: -0.020303 Loss_G: 0.011024 Loss_D_real: -0.011664 Loss_D_fake 0.008639
[1531/5000][5/535][157978] Loss_D: -0.019464 Loss_G: 0.017997 Loss_D_real: -0.030191 Loss_D_fake -0.010728
[1531/5000][10/535][157979] Loss_D: -0.019615 Loss_G: 0.013195 Loss_D_real: -0.018760 Loss_D_fake 0.000855
[1531/5000][15/535][157980] Loss_D: -0.018150 Loss_G: 0.001053 Loss_D_real: -0.004805 Loss_D_fake 0.013345
[1531/5000][20/535][157981] Loss_D: -0.018476 Loss_G: 0.029689 Loss_D_real: -0.032042 Loss_D_fake -0.013567
[1531/5000][25/535][157982] Loss_D: -0.019788 Loss_G: 0.003848 Loss_D_real: -0.016107 Loss_D_fake 0.003681
[1531/5000][30/535][157983] Loss_D: -0.019683 Loss_G: -0.005188 Loss_D_real: -0.010354 Loss_D_fake 0.009329
[1531/5000][35/535][157984] Loss_D: -0.020726 Loss_G: 0.003703 Loss_D_real: -0.020190 Loss_D_fake 0.000535
[1531/5000][40/535][157985] Loss_D: -0.020587 Loss_G: 0.023272 Loss_D_real: -0.017560 Loss_D_fake 0.003028
[1531/5000][45/535][157986] Loss_D: -0.017080 Loss_G: 0.018536 Loss_D_real: -0.030846 Loss_D_fake -0.013766
[1531/5000][50/535][157987] Loss_D: -0.020054 Loss_G: 0.016946 Loss_D_real: -0.014264 Loss_D_fake 0.005790
[1531/5000][55/535][157988] Loss_D: -0.019840 Loss_G: -0.004105 Loss_D_real: -0.009683 Loss_D_fake 0.010157
[1531/5000][60/535][157989] Loss_D: -0.020502 Loss_G: 0.011623 Loss_D_real: -0.012513 Loss_D_fake 0.007989
[1531/5000][65/535][157990] Loss_D: -0.020571 Loss_G: 0.003457 Loss_D_real: -0.000675 Loss_D_fake 0.019896
[1531/5000][70/535][157991] Loss_D: -0.020169 Loss_G: -0.006574 Loss_D_real: -0.006736 Loss_D_fake 0.013433
[1531/5000][75/535][157992] Loss_D: -0.021597 Loss_G: 0.014679 Loss_D_real: -0.024201 Loss_D_fake -0.002604
[1531/5000][80/535][157993] Loss_D: -0.020034 Loss_G: 0.005715 Loss_D_real: -0.015222 Loss_D_fake 0.004812
[1531/5000][85/535][157994] Loss_D: -0.020065 Loss_G: 0.010780 Loss_D_real: -0.014081 Loss_D_fake 0.005984
[1531/5000][90/535][157995] Loss_D: -0.020052 Loss_G: 0.007833 Loss_D_real: -0.015207 Loss_D_fake 0.004845
[1531/5000][95/535][157996] Loss_D: -0.019595 Loss_G: -0.001345 Loss_D_real: 0.000951 Loss_D_fake 0.020545
[1531/5000][100/535][157997] Loss_D: -0.020642 Loss_G: 0.004739 Loss_D_real: -0.011463 Loss_D_fake 0.009179
[1531/5000][105/535][157998] Loss_D: -0.019240 Loss_G: 0.005010 Loss_D_real: -0.007376 Loss_D_fake 0.011864
[1531/5000][110/535][157999] Loss_D: -0.019894 Loss_G: 0.012654 Loss_D_real: -0.022993 Loss_D_fake -0.003099
[1531/5000][115/535][158000] Loss_D: -0.020133 Loss_G: 0.018106 Loss_D_real: -0.021534 Loss_D_fake -0.001401
[1531/5000][215/535][158001] Loss_D: -0.022126 Loss_G: 0.006326 Loss_D_real: -0.011725 Loss_D_fake 0.010401
[1531/5000][220/535][158002] Loss_D: -0.020131 Loss_G: 0.018146 Loss_D_real: -0.023534 Loss_D_fake -0.003403
[1531/5000][225/535][158003] Loss_D: -0.019908 Loss_G: 0.000173 Loss_D_real: -0.008905 Loss_D_fake 0.011004
[1531/5000][230/535][158004] Loss_D: -0.018797 Loss_G: 0.002687 Loss_D_real: -0.017545 Loss_D_fake 0.001251
[1531/5000][235/535][158005] Loss_D: -0.018861 Loss_G: 0.023861 Loss_D_real: -0.024288 Loss_D_fake -0.005427
[1531/5000][240/535][158006] Loss_D: -0.018726 Loss_G: 0.004294 Loss_D_real: -0.008655 Loss_D_fake 0.010070
[1531/5000][245/535][158007] Loss_D: -0.018562 Loss_G: 0.007437 Loss_D_real: -0.012713 Loss_D_fake 0.005849
[1531/5000][250/535][158008] Loss_D: -0.019075 Loss_G: 0.019964 Loss_D_real: -0.021246 Loss_D_fake -0.002171
[1531/5000][255/535][158009] Loss_D: -0.019703 Loss_G: -0.002440 Loss_D_real: -0.008944 Loss_D_fake 0.010759
[1531/5000][260/535][158010] Loss_D: -0.019071 Loss_G: 0.013688 Loss_D_real: -0.017710 Loss_D_fake 0.001361
[1531/5000][265/535][158011] Loss_D: -0.019314 Loss_G: 0.026565 Loss_D_real: -0.035667 Loss_D_fake -0.016353
[1531/5000][270/535][158012] Loss_D: -0.019074 Loss_G: -0.006301 Loss_D_real: -0.007760 Loss_D_fake 0.011314
[1531/5000][275/535][158013] Loss_D: -0.018821 Loss_G: 0.010602 Loss_D_real: -0.023367 Loss_D_fake -0.004545
[1531/5000][280/535][158014] Loss_D: -0.018942 Loss_G: -0.000544 Loss_D_real: -0.021908 Loss_D_fake -0.002965
[1531/5000][285/535][158015] Loss_D: -0.019470 Loss_G: 0.004146 Loss_D_real: -0.020636 Loss_D_fake -0.001166
[1531/5000][290/535][158016] Loss_D: -0.018487 Loss_G: 0.005686 Loss_D_real: -0.005822 Loss_D_fake 0.012665
[1531/5000][295/535][158017] Loss_D: -0.019946 Loss_G: -0.005697 Loss_D_real: -0.012015 Loss_D_fake 0.007930
[1531/5000][300/535][158018] Loss_D: -0.018743 Loss_G: 0.002694 Loss_D_real: -0.006369 Loss_D_fake 0.012374
[1531/5000][305/535][158019] Loss_D: -0.018282 Loss_G: -0.008498 Loss_D_real: -0.006616 Loss_D_fake 0.011666
[1531/5000][310/535][158020] Loss_D: -0.020725 Loss_G: 0.002609 Loss_D_real: -0.011479 Loss_D_fake 0.009246
[1531/5000][315/535][158021] Loss_D: -0.020150 Loss_G: 0.009354 Loss_D_real: -0.002317 Loss_D_fake 0.017834
[1531/5000][320/535][158022] Loss_D: -0.019889 Loss_G: 0.007347 Loss_D_real: -0.007421 Loss_D_fake 0.012468
[1531/5000][325/535][158023] Loss_D: -0.019592 Loss_G: -0.012903 Loss_D_real: -0.006163 Loss_D_fake 0.013429
[1531/5000][330/535][158024] Loss_D: -0.020304 Loss_G: 0.006545 Loss_D_real: -0.020106 Loss_D_fake 0.000198
[1531/5000][335/535][158025] Loss_D: -0.020894 Loss_G: 0.004591 Loss_D_real: -0.016292 Loss_D_fake 0.004602
[1531/5000][340/535][158026] Loss_D: -0.019897 Loss_G: -0.008726 Loss_D_real: -0.004254 Loss_D_fake 0.015643
[1531/5000][345/535][158027] Loss_D: -0.018774 Loss_G: 0.008228 Loss_D_real: -0.012897 Loss_D_fake 0.005877
[1531/5000][350/535][158028] Loss_D: -0.018282 Loss_G: -0.003194 Loss_D_real: -0.006000 Loss_D_fake 0.012283
[1531/5000][355/535][158029] Loss_D: -0.019183 Loss_G: 0.008117 Loss_D_real: -0.014764 Loss_D_fake 0.004419
[1531/5000][360/535][158030] Loss_D: -0.020150 Loss_G: 0.020512 Loss_D_real: -0.021503 Loss_D_fake -0.001353
[1531/5000][365/535][158031] Loss_D: -0.019617 Loss_G: 0.005452 Loss_D_real: -0.018250 Loss_D_fake 0.001366
[1531/5000][370/535][158032] Loss_D: -0.019907 Loss_G: 0.013575 Loss_D_real: -0.014235 Loss_D_fake 0.005673
[1531/5000][375/535][158033] Loss_D: -0.018464 Loss_G: 0.030644 Loss_D_real: -0.031469 Loss_D_fake -0.013005
[1531/5000][380/535][158034] Loss_D: -0.017899 Loss_G: 0.021318 Loss_D_real: -0.030724 Loss_D_fake -0.012825
[1531/5000][385/535][158035] Loss_D: -0.018439 Loss_G: 0.028569 Loss_D_real: -0.014285 Loss_D_fake 0.004153
[1531/5000][390/535][158036] Loss_D: -0.017929 Loss_G: -0.004320 Loss_D_real: 0.000031 Loss_D_fake 0.017959
[1531/5000][395/535][158037] Loss_D: -0.017490 Loss_G: 0.011081 Loss_D_real: -0.014802 Loss_D_fake 0.002688
[1531/5000][400/535][158038] Loss_D: -0.020357 Loss_G: -0.004026 Loss_D_real: -0.006372 Loss_D_fake 0.013984
[1531/5000][405/535][158039] Loss_D: -0.018591 Loss_G: 0.020844 Loss_D_real: -0.037520 Loss_D_fake -0.018929
[1531/5000][410/535][158040] Loss_D: -0.019633 Loss_G: 0.012037 Loss_D_real: -0.028132 Loss_D_fake -0.008500
[1531/5000][415/535][158041] Loss_D: -0.020245 Loss_G: -0.008825 Loss_D_real: -0.007235 Loss_D_fake 0.013010
[1531/5000][420/535][158042] Loss_D: -0.019079 Loss_G: 0.022112 Loss_D_real: -0.023774 Loss_D_fake -0.004695
[1531/5000][425/535][158043] Loss_D: -0.019361 Loss_G: -0.000038 Loss_D_real: -0.007272 Loss_D_fake 0.012088
[1531/5000][430/535][158044] Loss_D: -0.020127 Loss_G: -0.006542 Loss_D_real: -0.019926 Loss_D_fake 0.000201
[1531/5000][435/535][158045] Loss_D: -0.021376 Loss_G: 0.009930 Loss_D_real: -0.021795 Loss_D_fake -0.000419
[1531/5000][440/535][158046] Loss_D: -0.019063 Loss_G: 0.006663 Loss_D_real: -0.020365 Loss_D_fake -0.001302
[1531/5000][445/535][158047] Loss_D: -0.020533 Loss_G: 0.005113 Loss_D_real: -0.030592 Loss_D_fake -0.010059
[1531/5000][450/535][158048] Loss_D: -0.020472 Loss_G: -0.002662 Loss_D_real: -0.032237 Loss_D_fake -0.011765
[1531/5000][455/535][158049] Loss_D: -0.019559 Loss_G: 0.007854 Loss_D_real: -0.010658 Loss_D_fake 0.008901
[1531/5000][460/535][158050] Loss_D: -0.019613 Loss_G: -0.002891 Loss_D_real: -0.016863 Loss_D_fake 0.002750
[1531/5000][465/535][158051] Loss_D: -0.019072 Loss_G: 0.001515 Loss_D_real: -0.011597 Loss_D_fake 0.007475
[1531/5000][470/535][158052] Loss_D: -0.017833 Loss_G: -0.021203 Loss_D_real: 0.000020 Loss_D_fake 0.017853
[1531/5000][475/535][158053] Loss_D: -0.020761 Loss_G: -0.002543 Loss_D_real: -0.012810 Loss_D_fake 0.007951
[1531/5000][480/535][158054] Loss_D: -0.019751 Loss_G: 0.012463 Loss_D_real: -0.021539 Loss_D_fake -0.001788
[1531/5000][485/535][158055] Loss_D: -0.018997 Loss_G: 0.019159 Loss_D_real: -0.028298 Loss_D_fake -0.009300
[1531/5000][490/535][158056] Loss_D: -0.019740 Loss_G: 0.026736 Loss_D_real: -0.031875 Loss_D_fake -0.012135
[1531/5000][495/535][158057] Loss_D: -0.018984 Loss_G: 0.026661 Loss_D_real: -0.025701 Loss_D_fake -0.006717
[1531/5000][500/535][158058] Loss_D: -0.019483 Loss_G: 0.021201 Loss_D_real: -0.010153 Loss_D_fake 0.009330
[1531/5000][505/535][158059] Loss_D: -0.018871 Loss_G: 0.003758 Loss_D_real: -0.019335 Loss_D_fake -0.000465
[1531/5000][510/535][158060] Loss_D: -0.020448 Loss_G: 0.008495 Loss_D_real: -0.010029 Loss_D_fake 0.010419
[1531/5000][515/535][158061] Loss_D: -0.020219 Loss_G: -0.000861 Loss_D_real: -0.014291 Loss_D_fake 0.005928
[1531/5000][520/535][158062] Loss_D: -0.019763 Loss_G: 0.009431 Loss_D_real: -0.020140 Loss_D_fake -0.000377
[1531/5000][525/535][158063] Loss_D: -0.018148 Loss_G: 0.018414 Loss_D_real: -0.025869 Loss_D_fake -0.007721
[1531/5000][530/535][158064] Loss_D: -0.019699 Loss_G: 0.004721 Loss_D_real: -0.019949 Loss_D_fake -0.000250
[1531/5000][535/535][158065] Loss_D: -0.021538 Loss_G: 0.014069 Loss_D_real: -0.023482 Loss_D_fake -0.001944
[1532/5000][5/535][158066] Loss_D: -0.020419 Loss_G: 0.014751 Loss_D_real: -0.012831 Loss_D_fake 0.007588
[1532/5000][10/535][158067] Loss_D: -0.018667 Loss_G: 0.003055 Loss_D_real: -0.016199 Loss_D_fake 0.002468
[1532/5000][15/535][158068] Loss_D: -0.020149 Loss_G: 0.004655 Loss_D_real: -0.019008 Loss_D_fake 0.001141
[1532/5000][20/535][158069] Loss_D: -0.019183 Loss_G: 0.010136 Loss_D_real: -0.021275 Loss_D_fake -0.002091
[1532/5000][25/535][158070] Loss_D: -0.020560 Loss_G: -0.008606 Loss_D_real: -0.013183 Loss_D_fake 0.007377
[1532/5000][30/535][158071] Loss_D: -0.018877 Loss_G: 0.017390 Loss_D_real: -0.013345 Loss_D_fake 0.005532
[1532/5000][35/535][158072] Loss_D: -0.020270 Loss_G: -0.008968 Loss_D_real: -0.010265 Loss_D_fake 0.010005
[1532/5000][40/535][158073] Loss_D: -0.017696 Loss_G: -0.015529 Loss_D_real: 0.013633 Loss_D_fake 0.031329
[1532/5000][45/535][158074] Loss_D: -0.018422 Loss_G: -0.004441 Loss_D_real: -0.006717 Loss_D_fake 0.011706
[1532/5000][50/535][158075] Loss_D: -0.018153 Loss_G: 0.028323 Loss_D_real: -0.023988 Loss_D_fake -0.005835
[1532/5000][55/535][158076] Loss_D: -0.020513 Loss_G: -0.006270 Loss_D_real: -0.008952 Loss_D_fake 0.011561
[1532/5000][60/535][158077] Loss_D: -0.018848 Loss_G: 0.019497 Loss_D_real: -0.026806 Loss_D_fake -0.007958
[1532/5000][65/535][158078] Loss_D: -0.018152 Loss_G: 0.007806 Loss_D_real: -0.026217 Loss_D_fake -0.008065
[1532/5000][70/535][158079] Loss_D: -0.018822 Loss_G: 0.001886 Loss_D_real: -0.015081 Loss_D_fake 0.003741
[1532/5000][75/535][158080] Loss_D: -0.019501 Loss_G: 0.012607 Loss_D_real: -0.013294 Loss_D_fake 0.006207
[1532/5000][80/535][158081] Loss_D: -0.020132 Loss_G: 0.016876 Loss_D_real: -0.020006 Loss_D_fake 0.000126
[1532/5000][85/535][158082] Loss_D: -0.020157 Loss_G: -0.002265 Loss_D_real: 0.000006 Loss_D_fake 0.020163
[1532/5000][90/535][158083] Loss_D: -0.019977 Loss_G: 0.007850 Loss_D_real: -0.009782 Loss_D_fake 0.010194
[1532/5000][95/535][158084] Loss_D: -0.017696 Loss_G: -0.001604 Loss_D_real: -0.002733 Loss_D_fake 0.014963
[1532/5000][100/535][158085] Loss_D: -0.018803 Loss_G: 0.000752 Loss_D_real: -0.013090 Loss_D_fake 0.005713
[1532/5000][105/535][158086] Loss_D: -0.017411 Loss_G: 0.020022 Loss_D_real: -0.020479 Loss_D_fake -0.003068
[1532/5000][110/535][158087] Loss_D: -0.018489 Loss_G: 0.012398 Loss_D_real: -0.030497 Loss_D_fake -0.012008
[1532/5000][115/535][158088] Loss_D: -0.018296 Loss_G: 0.007507 Loss_D_real: -0.021901 Loss_D_fake -0.003606
[1532/5000][120/535][158089] Loss_D: -0.020383 Loss_G: 0.002719 Loss_D_real: -0.008357 Loss_D_fake 0.012026
[1532/5000][125/535][158090] Loss_D: -0.018968 Loss_G: 0.004378 Loss_D_real: -0.020689 Loss_D_fake -0.001722
[1532/5000][130/535][158091] Loss_D: -0.019369 Loss_G: -0.000023 Loss_D_real: -0.014118 Loss_D_fake 0.005251
[1532/5000][135/535][158092] Loss_D: -0.018548 Loss_G: 0.003637 Loss_D_real: -0.022990 Loss_D_fake -0.004442
[1532/5000][140/535][158093] Loss_D: -0.016574 Loss_G: -0.026291 Loss_D_real: 0.012208 Loss_D_fake 0.028782
[1532/5000][145/535][158094] Loss_D: -0.019328 Loss_G: 0.009752 Loss_D_real: -0.014246 Loss_D_fake 0.005082
[1532/5000][150/535][158095] Loss_D: -0.019165 Loss_G: 0.024275 Loss_D_real: -0.030680 Loss_D_fake -0.011515
[1532/5000][155/535][158096] Loss_D: -0.020210 Loss_G: -0.002374 Loss_D_real: -0.009601 Loss_D_fake 0.010609
[1532/5000][160/535][158097] Loss_D: -0.019773 Loss_G: 0.016346 Loss_D_real: -0.016317 Loss_D_fake 0.003456
[1532/5000][165/535][158098] Loss_D: -0.019963 Loss_G: 0.004173 Loss_D_real: -0.013108 Loss_D_fake 0.006855
[1532/5000][170/535][158099] Loss_D: -0.019853 Loss_G: 0.014771 Loss_D_real: -0.021261 Loss_D_fake -0.001408
[1532/5000][175/535][158100] Loss_D: -0.020070 Loss_G: -0.000853 Loss_D_real: -0.010341 Loss_D_fake 0.009729
[1532/5000][180/535][158101] Loss_D: -0.020640 Loss_G: -0.004485 Loss_D_real: -0.020039 Loss_D_fake 0.000600
[1532/5000][185/535][158102] Loss_D: -0.017868 Loss_G: 0.001096 Loss_D_real: -0.000480 Loss_D_fake 0.017388
[1532/5000][190/535][158103] Loss_D: -0.020359 Loss_G: 0.011081 Loss_D_real: -0.009803 Loss_D_fake 0.010556
[1532/5000][195/535][158104] Loss_D: -0.019596 Loss_G: 0.004927 Loss_D_real: -0.002640 Loss_D_fake 0.016956
[1532/5000][200/535][158105] Loss_D: -0.020389 Loss_G: 0.003024 Loss_D_real: -0.015835 Loss_D_fake 0.004554
[1532/5000][205/535][158106] Loss_D: -0.018940 Loss_G: 0.010619 Loss_D_real: -0.019327 Loss_D_fake -0.000387
[1532/5000][210/535][158107] Loss_D: -0.017908 Loss_G: -0.013281 Loss_D_real: -0.003889 Loss_D_fake 0.014019
[1532/5000][215/535][158108] Loss_D: -0.019898 Loss_G: 0.004270 Loss_D_real: -0.013070 Loss_D_fake 0.006827
[1532/5000][220/535][158109] Loss_D: -0.020731 Loss_G: 0.026458 Loss_D_real: -0.026030 Loss_D_fake -0.005299
[1532/5000][225/535][158110] Loss_D: -0.019964 Loss_G: 0.001021 Loss_D_real: -0.015118 Loss_D_fake 0.004846
[1532/5000][230/535][158111] Loss_D: -0.019902 Loss_G: -0.013014 Loss_D_real: -0.014376 Loss_D_fake 0.005526
[1532/5000][235/535][158112] Loss_D: -0.019687 Loss_G: 0.008493 Loss_D_real: -0.015872 Loss_D_fake 0.003814
[1532/5000][240/535][158113] Loss_D: -0.019689 Loss_G: 0.013804 Loss_D_real: -0.021490 Loss_D_fake -0.001801
[1532/5000][245/535][158114] Loss_D: -0.018675 Loss_G: 0.011609 Loss_D_real: -0.023197 Loss_D_fake -0.004522
[1532/5000][250/535][158115] Loss_D: -0.019402 Loss_G: 0.013307 Loss_D_real: -0.017096 Loss_D_fake 0.002306
[1532/5000][255/535][158116] Loss_D: -0.019439 Loss_G: 0.005474 Loss_D_real: -0.011740 Loss_D_fake 0.007698
[1532/5000][260/535][158117] Loss_D: -0.019579 Loss_G: 0.015686 Loss_D_real: -0.027618 Loss_D_fake -0.008039
[1532/5000][265/535][158118] Loss_D: -0.019029 Loss_G: -0.003923 Loss_D_real: 0.001026 Loss_D_fake 0.020055
[1532/5000][270/535][158119] Loss_D: -0.019171 Loss_G: 0.007326 Loss_D_real: -0.014818 Loss_D_fake 0.004353
[1532/5000][275/535][158120] Loss_D: -0.017776 Loss_G: 0.013115 Loss_D_real: -0.034968 Loss_D_fake -0.017192
[1532/5000][280/535][158121] Loss_D: -0.020351 Loss_G: 0.012848 Loss_D_real: -0.015776 Loss_D_fake 0.004575
[1532/5000][285/535][158122] Loss_D: -0.018987 Loss_G: -0.006908 Loss_D_real: -0.017831 Loss_D_fake 0.001156
[1532/5000][290/535][158123] Loss_D: -0.020631 Loss_G: 0.010223 Loss_D_real: -0.014549 Loss_D_fake 0.006082
[1532/5000][295/535][158124] Loss_D: -0.019897 Loss_G: 0.000197 Loss_D_real: -0.011470 Loss_D_fake 0.008428
[1532/5000][300/535][158125] Loss_D: -0.018429 Loss_G: -0.016824 Loss_D_real: -0.013737 Loss_D_fake 0.004692
[1532/5000][305/535][158126] Loss_D: -0.020433 Loss_G: -0.002884 Loss_D_real: -0.006660 Loss_D_fake 0.013773
[1532/5000][310/535][158127] Loss_D: -0.019128 Loss_G: -0.006418 Loss_D_real: -0.012863 Loss_D_fake 0.006265
[1532/5000][315/535][158128] Loss_D: -0.019342 Loss_G: 0.020181 Loss_D_real: -0.020674 Loss_D_fake -0.001332
[1532/5000][320/535][158129] Loss_D: -0.021022 Loss_G: 0.005363 Loss_D_real: -0.018370 Loss_D_fake 0.002652
[1532/5000][325/535][158130] Loss_D: -0.019105 Loss_G: 0.015614 Loss_D_real: -0.022223 Loss_D_fake -0.003118
[1532/5000][330/535][158131] Loss_D: -0.019630 Loss_G: 0.014413 Loss_D_real: -0.020661 Loss_D_fake -0.001031
[1532/5000][335/535][158132] Loss_D: -0.019202 Loss_G: 0.002166 Loss_D_real: -0.013349 Loss_D_fake 0.005854
[1532/5000][340/535][158133] Loss_D: -0.019365 Loss_G: -0.008282 Loss_D_real: -0.007180 Loss_D_fake 0.012185
[1532/5000][345/535][158134] Loss_D: -0.019603 Loss_G: 0.021969 Loss_D_real: -0.019916 Loss_D_fake -0.000313
[1532/5000][350/535][158135] Loss_D: -0.020617 Loss_G: 0.004058 Loss_D_real: -0.016186 Loss_D_fake 0.004430
[1532/5000][355/535][158136] Loss_D: -0.020735 Loss_G: -0.004002 Loss_D_real: -0.021372 Loss_D_fake -0.000637
[1532/5000][360/535][158137] Loss_D: -0.020365 Loss_G: 0.010695 Loss_D_real: -0.020335 Loss_D_fake 0.000029
[1532/5000][365/535][158138] Loss_D: -0.020880 Loss_G: 0.009015 Loss_D_real: -0.020115 Loss_D_fake 0.000765
[1532/5000][370/535][158139] Loss_D: -0.020616 Loss_G: 0.016815 Loss_D_real: -0.019972 Loss_D_fake 0.000644
[1532/5000][375/535][158140] Loss_D: -0.021728 Loss_G: -0.001897 Loss_D_real: -0.011807 Loss_D_fake 0.009921
[1532/5000][380/535][158141] Loss_D: -0.018646 Loss_G: 0.038874 Loss_D_real: -0.032328 Loss_D_fake -0.013682
[1532/5000][385/535][158142] Loss_D: -0.020755 Loss_G: -0.009416 Loss_D_real: 0.002585 Loss_D_fake 0.023340
[1532/5000][390/535][158143] Loss_D: -0.019597 Loss_G: 0.004473 Loss_D_real: -0.014991 Loss_D_fake 0.004607
[1532/5000][395/535][158144] Loss_D: -0.019123 Loss_G: -0.016213 Loss_D_real: -0.008382 Loss_D_fake 0.010741
[1532/5000][400/535][158145] Loss_D: -0.018544 Loss_G: 0.000593 Loss_D_real: -0.014505 Loss_D_fake 0.004038
[1532/5000][405/535][158146] Loss_D: -0.019494 Loss_G: 0.016150 Loss_D_real: -0.022285 Loss_D_fake -0.002791
[1532/5000][410/535][158147] Loss_D: -0.019150 Loss_G: 0.005829 Loss_D_real: -0.009649 Loss_D_fake 0.009501
[1532/5000][415/535][158148] Loss_D: -0.020922 Loss_G: 0.007317 Loss_D_real: -0.013339 Loss_D_fake 0.007582
[1532/5000][420/535][158149] Loss_D: -0.020897 Loss_G: 0.009084 Loss_D_real: -0.014331 Loss_D_fake 0.006566
[1532/5000][425/535][158150] Loss_D: -0.020748 Loss_G: 0.019020 Loss_D_real: -0.022282 Loss_D_fake -0.001534
[1532/5000][430/535][158151] Loss_D: -0.019815 Loss_G: 0.005753 Loss_D_real: -0.009171 Loss_D_fake 0.010644
[1532/5000][435/535][158152] Loss_D: -0.019527 Loss_G: 0.008241 Loss_D_real: -0.018079 Loss_D_fake 0.001448
[1532/5000][440/535][158153] Loss_D: -0.018289 Loss_G: 0.029779 Loss_D_real: -0.037163 Loss_D_fake -0.018874
[1532/5000][445/535][158154] Loss_D: -0.021948 Loss_G: -0.003185 Loss_D_real: -0.012857 Loss_D_fake 0.009091
[1532/5000][450/535][158155] Loss_D: -0.018802 Loss_G: 0.027331 Loss_D_real: -0.032131 Loss_D_fake -0.013328
[1532/5000][455/535][158156] Loss_D: -0.020657 Loss_G: -0.001920 Loss_D_real: -0.007058 Loss_D_fake 0.013598
[1532/5000][460/535][158157] Loss_D: -0.019045 Loss_G: 0.016449 Loss_D_real: -0.031217 Loss_D_fake -0.012172
[1532/5000][465/535][158158] Loss_D: -0.020386 Loss_G: 0.012298 Loss_D_real: -0.016186 Loss_D_fake 0.004200
[1532/5000][470/535][158159] Loss_D: -0.020060 Loss_G: 0.011984 Loss_D_real: -0.018797 Loss_D_fake 0.001262
[1532/5000][475/535][158160] Loss_D: -0.019011 Loss_G: -0.001654 Loss_D_real: -0.002252 Loss_D_fake 0.016759
[1532/5000][480/535][158161] Loss_D: -0.019195 Loss_G: -0.002667 Loss_D_real: -0.011384 Loss_D_fake 0.007811
[1532/5000][485/535][158162] Loss_D: -0.019235 Loss_G: -0.011415 Loss_D_real: -0.017113 Loss_D_fake 0.002122
[1532/5000][490/535][158163] Loss_D: -0.018645 Loss_G: 0.018087 Loss_D_real: -0.025103 Loss_D_fake -0.006457
[1532/5000][495/535][158164] Loss_D: -0.021079 Loss_G: 0.014501 Loss_D_real: -0.006638 Loss_D_fake 0.014441
[1532/5000][500/535][158165] Loss_D: -0.018358 Loss_G: -0.004570 Loss_D_real: -0.003228 Loss_D_fake 0.015131
[1532/5000][505/535][158166] Loss_D: -0.019619 Loss_G: 0.007286 Loss_D_real: -0.020740 Loss_D_fake -0.001121
[1532/5000][510/535][158167] Loss_D: -0.018764 Loss_G: 0.015907 Loss_D_real: -0.032086 Loss_D_fake -0.013322
[1532/5000][515/535][158168] Loss_D: -0.019979 Loss_G: 0.005993 Loss_D_real: -0.010036 Loss_D_fake 0.009943
[1532/5000][520/535][158169] Loss_D: -0.019389 Loss_G: -0.000413 Loss_D_real: -0.011157 Loss_D_fake 0.008232
[1532/5000][525/535][158170] Loss_D: -0.018222 Loss_G: -0.006743 Loss_D_real: 0.005336 Loss_D_fake 0.023558
[1532/5000][530/535][158171] Loss_D: -0.018825 Loss_G: -0.007720 Loss_D_real: -0.018752 Loss_D_fake 0.000073
[1532/5000][535/535][158172] Loss_D: -0.020307 Loss_G: 0.027023 Loss_D_real: -0.023614 Loss_D_fake -0.003307
[1533/5000][5/535][158173] Loss_D: -0.019254 Loss_G: 0.015529 Loss_D_real: -0.011622 Loss_D_fake 0.007632
[1533/5000][10/535][158174] Loss_D: -0.020121 Loss_G: 0.012759 Loss_D_real: -0.024320 Loss_D_fake -0.004198
[1533/5000][15/535][158175] Loss_D: -0.018748 Loss_G: 0.007362 Loss_D_real: -0.021267 Loss_D_fake -0.002520
[1533/5000][20/535][158176] Loss_D: -0.019480 Loss_G: -0.003571 Loss_D_real: -0.013515 Loss_D_fake 0.005965
[1533/5000][25/535][158177] Loss_D: -0.018700 Loss_G: 0.011491 Loss_D_real: -0.029849 Loss_D_fake -0.011149
[1533/5000][30/535][158178] Loss_D: -0.020154 Loss_G: 0.001456 Loss_D_real: -0.017441 Loss_D_fake 0.002712
[1533/5000][35/535][158179] Loss_D: -0.018700 Loss_G: 0.017801 Loss_D_real: -0.026877 Loss_D_fake -0.008176
[1533/5000][40/535][158180] Loss_D: -0.020558 Loss_G: 0.008325 Loss_D_real: -0.015516 Loss_D_fake 0.005042
[1533/5000][45/535][158181] Loss_D: -0.019365 Loss_G: 0.018873 Loss_D_real: -0.026102 Loss_D_fake -0.006737
[1533/5000][50/535][158182] Loss_D: -0.018518 Loss_G: 0.001596 Loss_D_real: -0.014458 Loss_D_fake 0.004060
[1533/5000][55/535][158183] Loss_D: -0.019859 Loss_G: 0.018180 Loss_D_real: -0.015891 Loss_D_fake 0.003969
[1533/5000][60/535][158184] Loss_D: -0.019285 Loss_G: 0.015798 Loss_D_real: -0.020645 Loss_D_fake -0.001360
[1533/5000][65/535][158185] Loss_D: -0.020220 Loss_G: 0.012272 Loss_D_real: -0.008031 Loss_D_fake 0.012189
[1533/5000][70/535][158186] Loss_D: -0.019589 Loss_G: 0.012974 Loss_D_real: -0.011098 Loss_D_fake 0.008491
[1533/5000][75/535][158187] Loss_D: -0.019364 Loss_G: 0.014166 Loss_D_real: -0.018918 Loss_D_fake 0.000445
[1533/5000][80/535][158188] Loss_D: -0.019753 Loss_G: 0.003197 Loss_D_real: -0.020853 Loss_D_fake -0.001100
[1533/5000][85/535][158189] Loss_D: -0.020376 Loss_G: -0.021156 Loss_D_real: -0.006015 Loss_D_fake 0.014361
[1533/5000][90/535][158190] Loss_D: -0.019174 Loss_G: 0.015606 Loss_D_real: -0.029719 Loss_D_fake -0.010545
[1533/5000][95/535][158191] Loss_D: -0.020043 Loss_G: -0.014799 Loss_D_real: -0.021892 Loss_D_fake -0.001849
[1533/5000][100/535][158192] Loss_D: -0.020569 Loss_G: -0.001602 Loss_D_real: -0.014110 Loss_D_fake 0.006459
[1533/5000][105/535][158193] Loss_D: -0.019986 Loss_G: -0.000082 Loss_D_real: -0.010866 Loss_D_fake 0.009120
[1533/5000][110/535][158194] Loss_D: -0.020933 Loss_G: 0.006451 Loss_D_real: -0.000841 Loss_D_fake 0.020092
[1533/5000][115/535][158195] Loss_D: -0.019563 Loss_G: 0.000449 Loss_D_real: -0.004575 Loss_D_fake 0.014987
[1533/5000][120/535][158196] Loss_D: -0.019702 Loss_G: 0.002573 Loss_D_real: -0.008136 Loss_D_fake 0.011566
[1533/5000][125/535][158197] Loss_D: -0.019590 Loss_G: -0.006888 Loss_D_real: 0.004052 Loss_D_fake 0.023642
[1533/5000][130/535][158198] Loss_D: -0.019510 Loss_G: 0.021824 Loss_D_real: -0.030186 Loss_D_fake -0.010677
[1533/5000][135/535][158199] Loss_D: -0.019625 Loss_G: -0.004170 Loss_D_real: -0.011184 Loss_D_fake 0.008441
[1533/5000][140/535][158200] Loss_D: -0.020047 Loss_G: 0.004970 Loss_D_real: -0.015638 Loss_D_fake 0.004409
[1533/5000][145/535][158201] Loss_D: -0.019873 Loss_G: -0.011875 Loss_D_real: 0.003260 Loss_D_fake 0.023134
[1533/5000][150/535][158202] Loss_D: -0.018997 Loss_G: -0.000713 Loss_D_real: -0.024561 Loss_D_fake -0.005564
[1533/5000][155/535][158203] Loss_D: -0.020765 Loss_G: -0.004981 Loss_D_real: -0.005968 Loss_D_fake 0.014797
[1533/5000][160/535][158204] Loss_D: -0.018884 Loss_G: -0.011710 Loss_D_real: 0.004102 Loss_D_fake 0.022986
[1533/5000][165/535][158205] Loss_D: -0.019564 Loss_G: 0.008774 Loss_D_real: -0.018940 Loss_D_fake 0.000624
[1533/5000][170/535][158206] Loss_D: -0.020030 Loss_G: 0.014738 Loss_D_real: -0.012760 Loss_D_fake 0.007271
[1533/5000][175/535][158207] Loss_D: -0.018596 Loss_G: 0.019823 Loss_D_real: -0.030307 Loss_D_fake -0.011710
[1533/5000][180/535][158208] Loss_D: -0.019519 Loss_G: 0.013351 Loss_D_real: -0.025086 Loss_D_fake -0.005567
[1533/5000][185/535][158209] Loss_D: -0.018399 Loss_G: 0.017989 Loss_D_real: -0.031517 Loss_D_fake -0.013118
[1533/5000][190/535][158210] Loss_D: -0.020204 Loss_G: -0.003409 Loss_D_real: -0.005615 Loss_D_fake 0.014589
[1533/5000][195/535][158211] Loss_D: -0.019514 Loss_G: 0.012214 Loss_D_real: -0.014544 Loss_D_fake 0.004970
[1533/5000][200/535][158212] Loss_D: -0.018049 Loss_G: 0.021424 Loss_D_real: -0.036617 Loss_D_fake -0.018568
[1533/5000][205/535][158213] Loss_D: -0.018584 Loss_G: 0.019091 Loss_D_real: -0.026859 Loss_D_fake -0.008274
[1533/5000][210/535][158214] Loss_D: -0.020560 Loss_G: 0.001171 Loss_D_real: -0.013664 Loss_D_fake 0.006896
[1533/5000][215/535][158215] Loss_D: -0.019059 Loss_G: 0.000247 Loss_D_real: -0.005792 Loss_D_fake 0.013266
[1533/5000][220/535][158216] Loss_D: -0.018445 Loss_G: 0.016730 Loss_D_real: -0.031301 Loss_D_fake -0.012856
[1533/5000][225/535][158217] Loss_D: -0.019744 Loss_G: -0.009669 Loss_D_real: -0.006081 Loss_D_fake 0.013663
[1533/5000][230/535][158218] Loss_D: -0.019412 Loss_G: 0.019665 Loss_D_real: -0.025965 Loss_D_fake -0.006554
[1533/5000][235/535][158219] Loss_D: -0.019277 Loss_G: -0.004845 Loss_D_real: 0.001888 Loss_D_fake 0.021164
[1533/5000][240/535][158220] Loss_D: -0.019471 Loss_G: -0.004457 Loss_D_real: -0.007850 Loss_D_fake 0.011621
[1533/5000][245/535][158221] Loss_D: -0.019886 Loss_G: 0.010905 Loss_D_real: -0.011188 Loss_D_fake 0.008698
[1533/5000][250/535][158222] Loss_D: -0.020002 Loss_G: 0.017433 Loss_D_real: -0.025636 Loss_D_fake -0.005634
[1533/5000][255/535][158223] Loss_D: -0.019743 Loss_G: 0.009754 Loss_D_real: -0.013103 Loss_D_fake 0.006640
[1533/5000][260/535][158224] Loss_D: -0.021585 Loss_G: 0.002219 Loss_D_real: -0.008532 Loss_D_fake 0.013053
[1533/5000][265/535][158225] Loss_D: -0.020406 Loss_G: 0.013952 Loss_D_real: -0.018153 Loss_D_fake 0.002253
[1533/5000][270/535][158226] Loss_D: -0.019377 Loss_G: 0.003410 Loss_D_real: -0.017756 Loss_D_fake 0.001621
[1533/5000][275/535][158227] Loss_D: -0.020772 Loss_G: 0.002169 Loss_D_real: -0.016790 Loss_D_fake 0.003982
[1533/5000][280/535][158228] Loss_D: -0.018241 Loss_G: 0.017245 Loss_D_real: -0.027638 Loss_D_fake -0.009397
[1533/5000][285/535][158229] Loss_D: -0.020757 Loss_G: 0.011959 Loss_D_real: -0.020322 Loss_D_fake 0.000436
[1533/5000][290/535][158230] Loss_D: -0.021102 Loss_G: -0.008141 Loss_D_real: -0.003197 Loss_D_fake 0.017905
[1533/5000][295/535][158231] Loss_D: -0.020221 Loss_G: 0.013961 Loss_D_real: -0.010953 Loss_D_fake 0.009268
[1533/5000][300/535][158232] Loss_D: -0.019187 Loss_G: 0.022967 Loss_D_real: -0.030049 Loss_D_fake -0.010862
[1533/5000][305/535][158233] Loss_D: -0.020816 Loss_G: 0.010383 Loss_D_real: -0.011910 Loss_D_fake 0.008906
[1533/5000][310/535][158234] Loss_D: -0.019317 Loss_G: 0.013052 Loss_D_real: -0.024548 Loss_D_fake -0.005231
[1533/5000][315/535][158235] Loss_D: -0.020623 Loss_G: 0.000219 Loss_D_real: -0.015809 Loss_D_fake 0.004814
[1533/5000][320/535][158236] Loss_D: -0.021762 Loss_G: 0.024828 Loss_D_real: -0.020091 Loss_D_fake 0.001671
[1533/5000][325/535][158237] Loss_D: -0.020290 Loss_G: -0.007279 Loss_D_real: 0.002035 Loss_D_fake 0.022326
[1533/5000][330/535][158238] Loss_D: -0.020520 Loss_G: -0.002884 Loss_D_real: -0.004587 Loss_D_fake 0.015933
[1533/5000][335/535][158239] Loss_D: -0.019964 Loss_G: -0.004051 Loss_D_real: -0.002316 Loss_D_fake 0.017647
[1533/5000][340/535][158240] Loss_D: -0.019207 Loss_G: 0.005148 Loss_D_real: -0.026139 Loss_D_fake -0.006932
[1533/5000][345/535][158241] Loss_D: -0.020512 Loss_G: 0.009958 Loss_D_real: -0.022385 Loss_D_fake -0.001872
[1533/5000][350/535][158242] Loss_D: -0.020890 Loss_G: -0.006749 Loss_D_real: -0.010629 Loss_D_fake 0.010261
[1533/5000][355/535][158243] Loss_D: -0.019520 Loss_G: -0.001256 Loss_D_real: -0.005323 Loss_D_fake 0.014197
[1533/5000][360/535][158244] Loss_D: -0.019172 Loss_G: 0.000865 Loss_D_real: -0.004161 Loss_D_fake 0.015011
[1533/5000][365/535][158245] Loss_D: -0.019748 Loss_G: 0.015124 Loss_D_real: 0.001935 Loss_D_fake 0.021683
[1533/5000][370/535][158246] Loss_D: -0.019992 Loss_G: 0.022159 Loss_D_real: -0.029523 Loss_D_fake -0.009531
[1533/5000][375/535][158247] Loss_D: -0.019123 Loss_G: -0.018378 Loss_D_real: 0.001832 Loss_D_fake 0.020955
[1533/5000][380/535][158248] Loss_D: -0.018207 Loss_G: -0.001735 Loss_D_real: -0.021071 Loss_D_fake -0.002864
[1533/5000][385/535][158249] Loss_D: -0.020627 Loss_G: 0.005715 Loss_D_real: 0.002917 Loss_D_fake 0.023544
[1533/5000][390/535][158250] Loss_D: -0.020045 Loss_G: 0.006311 Loss_D_real: -0.010277 Loss_D_fake 0.009768
[1533/5000][395/535][158251] Loss_D: -0.020156 Loss_G: -0.001591 Loss_D_real: -0.019108 Loss_D_fake 0.001049
[1533/5000][400/535][158252] Loss_D: -0.019538 Loss_G: 0.017567 Loss_D_real: -0.017282 Loss_D_fake 0.002255
[1533/5000][405/535][158253] Loss_D: -0.019290 Loss_G: 0.004773 Loss_D_real: -0.014837 Loss_D_fake 0.004453
[1533/5000][410/535][158254] Loss_D: -0.018379 Loss_G: -0.004679 Loss_D_real: -0.000179 Loss_D_fake 0.018200
[1533/5000][415/535][158255] Loss_D: -0.019206 Loss_G: -0.004232 Loss_D_real: -0.019327 Loss_D_fake -0.000121
[1533/5000][420/535][158256] Loss_D: -0.020184 Loss_G: 0.002692 Loss_D_real: -0.024422 Loss_D_fake -0.004238
[1533/5000][425/535][158257] Loss_D: -0.020392 Loss_G: 0.008862 Loss_D_real: -0.017402 Loss_D_fake 0.002990
[1533/5000][430/535][158258] Loss_D: -0.019041 Loss_G: -0.006977 Loss_D_real: -0.002994 Loss_D_fake 0.016047
[1533/5000][435/535][158259] Loss_D: -0.019018 Loss_G: 0.021123 Loss_D_real: -0.021049 Loss_D_fake -0.002030
[1533/5000][440/535][158260] Loss_D: -0.018829 Loss_G: 0.004117 Loss_D_real: -0.013051 Loss_D_fake 0.005778
[1533/5000][445/535][158261] Loss_D: -0.018763 Loss_G: 0.014866 Loss_D_real: -0.021970 Loss_D_fake -0.003207
[1533/5000][450/535][158262] Loss_D: -0.017776 Loss_G: 0.003370 Loss_D_real: -0.015564 Loss_D_fake 0.002211
[1533/5000][455/535][158263] Loss_D: -0.019566 Loss_G: -0.003582 Loss_D_real: -0.015149 Loss_D_fake 0.004416
[1533/5000][460/535][158264] Loss_D: -0.019325 Loss_G: 0.002206 Loss_D_real: -0.020186 Loss_D_fake -0.000861
[1533/5000][465/535][158265] Loss_D: -0.019550 Loss_G: 0.017001 Loss_D_real: -0.018793 Loss_D_fake 0.000757
[1533/5000][470/535][158266] Loss_D: -0.019202 Loss_G: 0.007963 Loss_D_real: -0.024235 Loss_D_fake -0.005033
[1533/5000][475/535][158267] Loss_D: -0.019520 Loss_G: 0.019059 Loss_D_real: -0.013221 Loss_D_fake 0.006298
[1533/5000][480/535][158268] Loss_D: -0.018353 Loss_G: 0.022661 Loss_D_real: -0.025362 Loss_D_fake -0.007009
[1533/5000][485/535][158269] Loss_D: -0.018503 Loss_G: -0.012964 Loss_D_real: -0.005348 Loss_D_fake 0.013155
[1533/5000][490/535][158270] Loss_D: -0.019883 Loss_G: -0.005652 Loss_D_real: -0.013117 Loss_D_fake 0.006767
[1533/5000][495/535][158271] Loss_D: -0.018618 Loss_G: -0.011802 Loss_D_real: -0.004860 Loss_D_fake 0.013758
[1533/5000][500/535][158272] Loss_D: -0.018860 Loss_G: 0.010719 Loss_D_real: -0.032814 Loss_D_fake -0.013954
[1533/5000][505/535][158273] Loss_D: -0.018764 Loss_G: 0.021762 Loss_D_real: -0.017755 Loss_D_fake 0.001009
[1533/5000][510/535][158274] Loss_D: -0.019221 Loss_G: -0.011876 Loss_D_real: -0.001997 Loss_D_fake 0.017225
[1533/5000][515/535][158275] Loss_D: -0.020067 Loss_G: 0.010674 Loss_D_real: -0.001345 Loss_D_fake 0.018723
[1533/5000][520/535][158276] Loss_D: -0.018358 Loss_G: 0.014524 Loss_D_real: -0.020559 Loss_D_fake -0.002201
[1533/5000][525/535][158277] Loss_D: -0.021398 Loss_G: -0.002318 Loss_D_real: -0.009549 Loss_D_fake 0.011850
[1533/5000][530/535][158278] Loss_D: -0.020977 Loss_G: 0.007042 Loss_D_real: -0.014676 Loss_D_fake 0.006301
[1533/5000][535/535][158279] Loss_D: -0.023201 Loss_G: 0.032113 Loss_D_real: -0.012102 Loss_D_fake 0.011099
[1534/5000][5/535][158280] Loss_D: -0.020250 Loss_G: 0.002775 Loss_D_real: -0.020559 Loss_D_fake -0.000309
[1534/5000][10/535][158281] Loss_D: -0.019911 Loss_G: 0.012146 Loss_D_real: -0.028944 Loss_D_fake -0.009033
[1534/5000][15/535][158282] Loss_D: -0.020448 Loss_G: 0.006998 Loss_D_real: -0.019122 Loss_D_fake 0.001326
[1534/5000][20/535][158283] Loss_D: -0.019885 Loss_G: -0.003481 Loss_D_real: 0.000635 Loss_D_fake 0.020520
[1534/5000][25/535][158284] Loss_D: -0.020241 Loss_G: -0.003150 Loss_D_real: -0.013342 Loss_D_fake 0.006899
[1534/5000][30/535][158285] Loss_D: -0.019801 Loss_G: 0.011211 Loss_D_real: -0.010394 Loss_D_fake 0.009407
[1534/5000][35/535][158286] Loss_D: -0.019868 Loss_G: 0.001439 Loss_D_real: -0.018133 Loss_D_fake 0.001735
[1534/5000][40/535][158287] Loss_D: -0.019239 Loss_G: 0.001627 Loss_D_real: -0.010774 Loss_D_fake 0.008464
[1534/5000][45/535][158288] Loss_D: -0.018668 Loss_G: 0.011295 Loss_D_real: 0.001005 Loss_D_fake 0.019674
[1534/5000][50/535][158289] Loss_D: -0.020182 Loss_G: -0.002805 Loss_D_real: -0.023208 Loss_D_fake -0.003025
[1534/5000][55/535][158290] Loss_D: -0.018659 Loss_G: 0.003155 Loss_D_real: -0.011532 Loss_D_fake 0.007127
[1534/5000][60/535][158291] Loss_D: -0.017884 Loss_G: 0.023829 Loss_D_real: -0.034651 Loss_D_fake -0.016767
[1534/5000][65/535][158292] Loss_D: -0.019758 Loss_G: 0.020571 Loss_D_real: -0.019257 Loss_D_fake 0.000501
[1534/5000][70/535][158293] Loss_D: -0.020667 Loss_G: 0.017010 Loss_D_real: -0.015805 Loss_D_fake 0.004862
[1534/5000][75/535][158294] Loss_D: -0.018705 Loss_G: 0.027580 Loss_D_real: -0.032968 Loss_D_fake -0.014263
[1534/5000][80/535][158295] Loss_D: -0.018893 Loss_G: 0.003051 Loss_D_real: -0.003408 Loss_D_fake 0.015485
[1534/5000][85/535][158296] Loss_D: -0.020105 Loss_G: 0.000548 Loss_D_real: -0.015422 Loss_D_fake 0.004683
[1534/5000][90/535][158297] Loss_D: -0.019689 Loss_G: 0.007669 Loss_D_real: -0.010637 Loss_D_fake 0.009052
[1534/5000][95/535][158298] Loss_D: -0.020091 Loss_G: 0.004372 Loss_D_real: -0.014370 Loss_D_fake 0.005721
[1534/5000][100/535][158299] Loss_D: -0.019658 Loss_G: 0.014294 Loss_D_real: -0.026601 Loss_D_fake -0.006943
[1534/5000][105/535][158300] Loss_D: -0.021070 Loss_G: 0.006257 Loss_D_real: -0.019643 Loss_D_fake 0.001427
[1534/5000][110/535][158301] Loss_D: -0.019469 Loss_G: -0.011541 Loss_D_real: -0.004155 Loss_D_fake 0.015314
[1534/5000][115/535][158302] Loss_D: -0.020629 Loss_G: -0.000216 Loss_D_real: -0.021408 Loss_D_fake -0.000779
[1534/5000][120/535][158303] Loss_D: -0.019202 Loss_G: 0.003288 Loss_D_real: -0.014475 Loss_D_fake 0.004727
[1534/5000][125/535][158304] Loss_D: -0.020046 Loss_G: 0.012629 Loss_D_real: -0.022827 Loss_D_fake -0.002780
[1534/5000][130/535][158305] Loss_D: -0.020650 Loss_G: 0.008339 Loss_D_real: -0.005224 Loss_D_fake 0.015426
[1534/5000][135/535][158306] Loss_D: -0.018751 Loss_G: 0.011419 Loss_D_real: -0.021191 Loss_D_fake -0.002441
[1534/5000][140/535][158307] Loss_D: -0.019963 Loss_G: -0.007160 Loss_D_real: -0.012608 Loss_D_fake 0.007354
[1534/5000][145/535][158308] Loss_D: -0.018472 Loss_G: 0.025236 Loss_D_real: -0.035431 Loss_D_fake -0.016959
[1534/5000][150/535][158309] Loss_D: -0.018358 Loss_G: -0.020677 Loss_D_real: -0.003303 Loss_D_fake 0.015055
[1534/5000][155/535][158310] Loss_D: -0.018996 Loss_G: 0.006080 Loss_D_real: -0.006793 Loss_D_fake 0.012203
[1534/5000][160/535][158311] Loss_D: -0.018038 Loss_G: 0.035339 Loss_D_real: -0.020484 Loss_D_fake -0.002446
[1534/5000][165/535][158312] Loss_D: -0.019398 Loss_G: 0.010051 Loss_D_real: -0.026181 Loss_D_fake -0.006783
[1534/5000][170/535][158313] Loss_D: -0.019767 Loss_G: 0.010504 Loss_D_real: -0.007280 Loss_D_fake 0.012487
[1534/5000][175/535][158314] Loss_D: -0.020016 Loss_G: 0.000504 Loss_D_real: -0.010283 Loss_D_fake 0.009732
[1534/5000][180/535][158315] Loss_D: -0.018466 Loss_G: -0.010376 Loss_D_real: -0.009458 Loss_D_fake 0.009008
[1534/5000][185/535][158316] Loss_D: -0.020072 Loss_G: -0.015585 Loss_D_real: -0.002298 Loss_D_fake 0.017774
[1534/5000][190/535][158317] Loss_D: -0.017848 Loss_G: -0.001746 Loss_D_real: 0.003971 Loss_D_fake 0.021819
[1534/5000][195/535][158318] Loss_D: -0.018572 Loss_G: 0.017605 Loss_D_real: -0.017829 Loss_D_fake 0.000742
[1534/5000][200/535][158319] Loss_D: -0.019543 Loss_G: 0.023237 Loss_D_real: -0.024420 Loss_D_fake -0.004876
[1534/5000][205/535][158320] Loss_D: -0.019577 Loss_G: 0.012195 Loss_D_real: -0.033245 Loss_D_fake -0.013667
[1534/5000][210/535][158321] Loss_D: -0.019400 Loss_G: 0.019849 Loss_D_real: -0.032713 Loss_D_fake -0.013313
[1534/5000][215/535][158322] Loss_D: -0.020034 Loss_G: 0.013443 Loss_D_real: -0.021167 Loss_D_fake -0.001133
[1534/5000][220/535][158323] Loss_D: -0.019754 Loss_G: 0.014352 Loss_D_real: -0.016748 Loss_D_fake 0.003006
[1534/5000][225/535][158324] Loss_D: -0.018282 Loss_G: 0.006928 Loss_D_real: -0.028603 Loss_D_fake -0.010321
[1534/5000][230/535][158325] Loss_D: -0.019678 Loss_G: 0.006247 Loss_D_real: -0.011381 Loss_D_fake 0.008298
[1534/5000][235/535][158326] Loss_D: -0.019368 Loss_G: -0.009801 Loss_D_real: 0.001773 Loss_D_fake 0.021140
[1534/5000][240/535][158327] Loss_D: -0.020522 Loss_G: 0.003300 Loss_D_real: -0.016139 Loss_D_fake 0.004384
[1534/5000][245/535][158328] Loss_D: -0.019056 Loss_G: 0.029487 Loss_D_real: -0.020922 Loss_D_fake -0.001866
[1534/5000][250/535][158329] Loss_D: -0.018201 Loss_G: 0.018541 Loss_D_real: -0.018490 Loss_D_fake -0.000289
[1534/5000][255/535][158330] Loss_D: -0.018182 Loss_G: 0.006394 Loss_D_real: -0.011731 Loss_D_fake 0.006451
[1534/5000][260/535][158331] Loss_D: -0.020169 Loss_G: 0.006388 Loss_D_real: -0.024900 Loss_D_fake -0.004731
[1534/5000][265/535][158332] Loss_D: -0.020246 Loss_G: 0.004366 Loss_D_real: -0.014141 Loss_D_fake 0.006106
[1534/5000][270/535][158333] Loss_D: -0.020639 Loss_G: 0.023134 Loss_D_real: -0.020443 Loss_D_fake 0.000195
[1534/5000][275/535][158334] Loss_D: -0.020298 Loss_G: 0.003324 Loss_D_real: -0.007835 Loss_D_fake 0.012462
[1534/5000][280/535][158335] Loss_D: -0.019463 Loss_G: 0.012117 Loss_D_real: -0.026395 Loss_D_fake -0.006932
[1534/5000][285/535][158336] Loss_D: -0.018987 Loss_G: 0.016507 Loss_D_real: -0.036532 Loss_D_fake -0.017545
[1534/5000][290/535][158337] Loss_D: -0.019623 Loss_G: 0.007534 Loss_D_real: -0.012620 Loss_D_fake 0.007003
[1534/5000][295/535][158338] Loss_D: -0.019300 Loss_G: -0.000554 Loss_D_real: -0.029206 Loss_D_fake -0.009906
[1534/5000][300/535][158339] Loss_D: -0.020805 Loss_G: -0.008059 Loss_D_real: -0.014953 Loss_D_fake 0.005852
[1534/5000][305/535][158340] Loss_D: -0.020480 Loss_G: 0.000578 Loss_D_real: -0.008206 Loss_D_fake 0.012275
[1534/5000][310/535][158341] Loss_D: -0.020623 Loss_G: 0.021683 Loss_D_real: -0.010760 Loss_D_fake 0.009862
[1534/5000][315/535][158342] Loss_D: -0.017976 Loss_G: -0.016440 Loss_D_real: 0.002229 Loss_D_fake 0.020205
[1534/5000][320/535][158343] Loss_D: -0.019912 Loss_G: 0.025816 Loss_D_real: -0.014396 Loss_D_fake 0.005516
[1534/5000][325/535][158344] Loss_D: -0.019355 Loss_G: 0.024427 Loss_D_real: -0.013761 Loss_D_fake 0.005594
[1534/5000][330/535][158345] Loss_D: -0.020054 Loss_G: 0.013271 Loss_D_real: -0.030928 Loss_D_fake -0.010873
[1534/5000][335/535][158346] Loss_D: -0.021481 Loss_G: 0.002503 Loss_D_real: -0.008360 Loss_D_fake 0.013121
[1534/5000][340/535][158347] Loss_D: -0.019617 Loss_G: -0.006116 Loss_D_real: -0.001067 Loss_D_fake 0.018550
[1534/5000][345/535][158348] Loss_D: -0.020645 Loss_G: 0.001952 Loss_D_real: -0.020723 Loss_D_fake -0.000079
[1534/5000][350/535][158349] Loss_D: -0.019403 Loss_G: 0.015475 Loss_D_real: -0.022410 Loss_D_fake -0.003007
[1534/5000][355/535][158350] Loss_D: -0.018689 Loss_G: 0.018822 Loss_D_real: -0.035584 Loss_D_fake -0.016895
[1534/5000][360/535][158351] Loss_D: -0.019299 Loss_G: 0.011685 Loss_D_real: -0.023311 Loss_D_fake -0.004012
[1534/5000][365/535][158352] Loss_D: -0.019792 Loss_G: -0.010773 Loss_D_real: 0.003078 Loss_D_fake 0.022869
[1534/5000][370/535][158353] Loss_D: -0.020491 Loss_G: 0.015562 Loss_D_real: -0.015415 Loss_D_fake 0.005076
[1534/5000][375/535][158354] Loss_D: -0.020011 Loss_G: -0.010702 Loss_D_real: -0.005437 Loss_D_fake 0.014574
[1534/5000][380/535][158355] Loss_D: -0.020025 Loss_G: 0.011346 Loss_D_real: -0.010645 Loss_D_fake 0.009380
[1534/5000][385/535][158356] Loss_D: -0.017444 Loss_G: 0.027749 Loss_D_real: -0.023982 Loss_D_fake -0.006537
[1534/5000][390/535][158357] Loss_D: -0.019971 Loss_G: -0.002425 Loss_D_real: -0.017823 Loss_D_fake 0.002147
[1534/5000][395/535][158358] Loss_D: -0.018767 Loss_G: 0.002871 Loss_D_real: -0.008132 Loss_D_fake 0.010635
[1534/5000][400/535][158359] Loss_D: -0.021808 Loss_G: 0.011491 Loss_D_real: -0.006222 Loss_D_fake 0.015586
[1534/5000][405/535][158360] Loss_D: -0.019691 Loss_G: -0.001759 Loss_D_real: -0.009887 Loss_D_fake 0.009804
[1534/5000][410/535][158361] Loss_D: -0.019675 Loss_G: -0.008435 Loss_D_real: -0.005979 Loss_D_fake 0.013696
[1534/5000][415/535][158362] Loss_D: -0.018795 Loss_G: 0.014510 Loss_D_real: -0.019018 Loss_D_fake -0.000223
[1534/5000][420/535][158363] Loss_D: -0.019896 Loss_G: 0.013716 Loss_D_real: -0.019232 Loss_D_fake 0.000664
[1534/5000][425/535][158364] Loss_D: -0.019336 Loss_G: 0.011909 Loss_D_real: -0.016582 Loss_D_fake 0.002754
[1534/5000][430/535][158365] Loss_D: -0.019915 Loss_G: 0.005412 Loss_D_real: -0.010917 Loss_D_fake 0.008998
[1534/5000][435/535][158366] Loss_D: -0.019723 Loss_G: 0.017634 Loss_D_real: -0.027804 Loss_D_fake -0.008080
[1534/5000][440/535][158367] Loss_D: -0.018311 Loss_G: 0.011121 Loss_D_real: -0.020499 Loss_D_fake -0.002188
[1534/5000][445/535][158368] Loss_D: -0.021396 Loss_G: 0.019051 Loss_D_real: -0.023410 Loss_D_fake -0.002014
[1534/5000][450/535][158369] Loss_D: -0.017903 Loss_G: -0.013931 Loss_D_real: -0.000702 Loss_D_fake 0.017201
[1534/5000][455/535][158370] Loss_D: -0.019365 Loss_G: 0.016442 Loss_D_real: -0.026349 Loss_D_fake -0.006985
[1534/5000][460/535][158371] Loss_D: -0.018483 Loss_G: 0.022992 Loss_D_real: -0.014413 Loss_D_fake 0.004070
[1534/5000][465/535][158372] Loss_D: -0.020301 Loss_G: -0.004257 Loss_D_real: -0.013123 Loss_D_fake 0.007178
[1534/5000][470/535][158373] Loss_D: -0.019149 Loss_G: 0.010678 Loss_D_real: -0.017311 Loss_D_fake 0.001837
[1534/5000][475/535][158374] Loss_D: -0.020644 Loss_G: 0.012471 Loss_D_real: -0.019497 Loss_D_fake 0.001147
[1534/5000][480/535][158375] Loss_D: -0.020598 Loss_G: -0.011178 Loss_D_real: -0.016089 Loss_D_fake 0.004509
[1534/5000][485/535][158376] Loss_D: -0.020524 Loss_G: 0.013833 Loss_D_real: -0.010283 Loss_D_fake 0.010241
[1534/5000][490/535][158377] Loss_D: -0.020800 Loss_G: 0.011678 Loss_D_real: -0.029318 Loss_D_fake -0.008518
[1534/5000][495/535][158378] Loss_D: -0.018236 Loss_G: 0.022522 Loss_D_real: -0.035058 Loss_D_fake -0.016821
[1534/5000][500/535][158379] Loss_D: -0.020977 Loss_G: 0.004588 Loss_D_real: -0.007004 Loss_D_fake 0.013972
[1534/5000][505/535][158380] Loss_D: -0.019697 Loss_G: 0.000020 Loss_D_real: -0.014823 Loss_D_fake 0.004874
[1534/5000][510/535][158381] Loss_D: -0.018626 Loss_G: -0.005897 Loss_D_real: -0.001334 Loss_D_fake 0.017292
[1534/5000][515/535][158382] Loss_D: -0.019430 Loss_G: 0.008251 Loss_D_real: -0.008588 Loss_D_fake 0.010842
[1534/5000][520/535][158383] Loss_D: -0.019495 Loss_G: 0.012976 Loss_D_real: -0.022710 Loss_D_fake -0.003215
[1534/5000][525/535][158384] Loss_D: -0.018073 Loss_G: 0.029956 Loss_D_real: -0.031709 Loss_D_fake -0.013636
[1534/5000][530/535][158385] Loss_D: -0.020103 Loss_G: -0.006405 Loss_D_real: -0.008666 Loss_D_fake 0.011436
[1534/5000][535/535][158386] Loss_D: -0.020286 Loss_G: 0.027099 Loss_D_real: -0.014778 Loss_D_fake 0.005508
[1535/5000][5/535][158387] Loss_D: -0.020806 Loss_G: -0.003638 Loss_D_real: -0.014167 Loss_D_fake 0.006639
[1535/5000][10/535][158388] Loss_D: -0.018989 Loss_G: 0.004021 Loss_D_real: -0.018815 Loss_D_fake 0.000174
[1535/5000][15/535][158389] Loss_D: -0.018538 Loss_G: 0.007969 Loss_D_real: -0.010405 Loss_D_fake 0.008133
[1535/5000][20/535][158390] Loss_D: -0.018091 Loss_G: 0.008885 Loss_D_real: -0.037494 Loss_D_fake -0.019404
[1535/5000][25/535][158391] Loss_D: -0.019242 Loss_G: 0.000228 Loss_D_real: -0.009171 Loss_D_fake 0.010071
[1535/5000][30/535][158392] Loss_D: -0.019646 Loss_G: 0.026619 Loss_D_real: -0.020770 Loss_D_fake -0.001124
[1535/5000][35/535][158393] Loss_D: -0.018932 Loss_G: -0.004209 Loss_D_real: -0.008860 Loss_D_fake 0.010072
[1535/5000][40/535][158394] Loss_D: -0.020147 Loss_G: -0.007255 Loss_D_real: -0.007994 Loss_D_fake 0.012153
[1535/5000][45/535][158395] Loss_D: -0.019155 Loss_G: -0.001838 Loss_D_real: -0.006637 Loss_D_fake 0.012518
[1535/5000][50/535][158396] Loss_D: -0.019328 Loss_G: 0.014098 Loss_D_real: -0.019532 Loss_D_fake -0.000205
[1535/5000][55/535][158397] Loss_D: -0.020609 Loss_G: 0.011096 Loss_D_real: -0.020312 Loss_D_fake 0.000297
[1535/5000][60/535][158398] Loss_D: -0.021042 Loss_G: -0.011899 Loss_D_real: -0.015261 Loss_D_fake 0.005780
[1535/5000][65/535][158399] Loss_D: -0.020124 Loss_G: 0.009804 Loss_D_real: -0.008906 Loss_D_fake 0.011218
[1535/5000][70/535][158400] Loss_D: -0.020295 Loss_G: 0.017136 Loss_D_real: -0.032363 Loss_D_fake -0.012069
[1535/5000][75/535][158401] Loss_D: -0.019023 Loss_G: 0.018557 Loss_D_real: -0.027414 Loss_D_fake -0.008391
[1535/5000][80/535][158402] Loss_D: -0.018091 Loss_G: 0.023699 Loss_D_real: -0.031455 Loss_D_fake -0.013365
[1535/5000][85/535][158403] Loss_D: -0.018721 Loss_G: -0.009497 Loss_D_real: -0.013152 Loss_D_fake 0.005568
[1535/5000][90/535][158404] Loss_D: -0.018744 Loss_G: -0.010937 Loss_D_real: -0.003744 Loss_D_fake 0.015000
[1535/5000][95/535][158405] Loss_D: -0.018995 Loss_G: 0.025700 Loss_D_real: -0.023475 Loss_D_fake -0.004479
[1535/5000][100/535][158406] Loss_D: -0.021075 Loss_G: 0.007187 Loss_D_real: -0.015085 Loss_D_fake 0.005990
[1535/5000][105/535][158407] Loss_D: -0.018631 Loss_G: -0.008059 Loss_D_real: 0.001855 Loss_D_fake 0.020486
[1535/5000][110/535][158408] Loss_D: -0.018134 Loss_G: 0.016404 Loss_D_real: -0.017670 Loss_D_fake 0.000465
[1535/5000][115/535][158409] Loss_D: -0.017958 Loss_G: 0.009333 Loss_D_real: -0.025217 Loss_D_fake -0.007258
[1535/5000][120/535][158410] Loss_D: -0.019734 Loss_G: 0.003563 Loss_D_real: -0.013118 Loss_D_fake 0.006616
[1535/5000][125/535][158411] Loss_D: -0.018646 Loss_G: -0.002973 Loss_D_real: -0.013773 Loss_D_fake 0.004872
[1535/5000][130/535][158412] Loss_D: -0.019373 Loss_G: -0.009009 Loss_D_real: -0.017039 Loss_D_fake 0.002335
[1535/5000][135/535][158413] Loss_D: -0.018915 Loss_G: 0.028394 Loss_D_real: -0.015053 Loss_D_fake 0.003862
[1535/5000][140/535][158414] Loss_D: -0.019428 Loss_G: 0.016596 Loss_D_real: -0.024018 Loss_D_fake -0.004590
[1535/5000][145/535][158415] Loss_D: -0.017887 Loss_G: 0.027061 Loss_D_real: -0.031745 Loss_D_fake -0.013858
[1535/5000][150/535][158416] Loss_D: -0.020849 Loss_G: 0.000728 Loss_D_real: -0.012903 Loss_D_fake 0.007947
[1535/5000][155/535][158417] Loss_D: -0.019870 Loss_G: 0.003640 Loss_D_real: -0.019866 Loss_D_fake 0.000004
[1535/5000][160/535][158418] Loss_D: -0.021164 Loss_G: 0.003091 Loss_D_real: -0.009537 Loss_D_fake 0.011627
[1535/5000][165/535][158419] Loss_D: -0.020880 Loss_G: 0.011631 Loss_D_real: -0.009054 Loss_D_fake 0.011826
[1535/5000][170/535][158420] Loss_D: -0.021534 Loss_G: 0.014733 Loss_D_real: -0.022542 Loss_D_fake -0.001008
[1535/5000][175/535][158421] Loss_D: -0.020114 Loss_G: 0.010340 Loss_D_real: -0.010415 Loss_D_fake 0.009699
[1535/5000][180/535][158422] Loss_D: -0.019974 Loss_G: -0.007946 Loss_D_real: -0.015796 Loss_D_fake 0.004178
[1535/5000][185/535][158423] Loss_D: -0.019338 Loss_G: -0.003709 Loss_D_real: -0.014090 Loss_D_fake 0.005248
[1535/5000][190/535][158424] Loss_D: -0.020634 Loss_G: 0.008499 Loss_D_real: -0.005966 Loss_D_fake 0.014668
[1535/5000][195/535][158425] Loss_D: -0.018921 Loss_G: 0.020904 Loss_D_real: -0.026794 Loss_D_fake -0.007873
[1535/5000][200/535][158426] Loss_D: -0.019468 Loss_G: 0.001654 Loss_D_real: -0.008991 Loss_D_fake 0.010477
[1535/5000][205/535][158427] Loss_D: -0.020504 Loss_G: 0.004305 Loss_D_real: -0.021175 Loss_D_fake -0.000671
[1535/5000][210/535][158428] Loss_D: -0.019870 Loss_G: 0.019295 Loss_D_real: -0.024028 Loss_D_fake -0.004157
[1535/5000][215/535][158429] Loss_D: -0.020634 Loss_G: -0.010354 Loss_D_real: -0.022697 Loss_D_fake -0.002063
[1535/5000][220/535][158430] Loss_D: -0.020082 Loss_G: 0.013004 Loss_D_real: -0.018068 Loss_D_fake 0.002014
[1535/5000][225/535][158431] Loss_D: -0.020961 Loss_G: 0.016601 Loss_D_real: -0.015437 Loss_D_fake 0.005524
[1535/5000][230/535][158432] Loss_D: -0.019808 Loss_G: 0.019781 Loss_D_real: -0.023884 Loss_D_fake -0.004076
[1535/5000][235/535][158433] Loss_D: -0.019495 Loss_G: 0.018185 Loss_D_real: -0.011461 Loss_D_fake 0.008034
[1535/5000][240/535][158434] Loss_D: -0.018370 Loss_G: 0.016241 Loss_D_real: -0.034523 Loss_D_fake -0.016153
[1535/5000][245/535][158435] Loss_D: -0.020208 Loss_G: -0.010804 Loss_D_real: -0.004587 Loss_D_fake 0.015621
[1535/5000][250/535][158436] Loss_D: -0.020006 Loss_G: 0.016103 Loss_D_real: -0.022347 Loss_D_fake -0.002342
[1535/5000][255/535][158437] Loss_D: -0.018602 Loss_G: 0.027434 Loss_D_real: -0.021239 Loss_D_fake -0.002638
[1535/5000][260/535][158438] Loss_D: -0.019126 Loss_G: -0.007615 Loss_D_real: -0.007205 Loss_D_fake 0.011921
[1535/5000][265/535][158439] Loss_D: -0.020228 Loss_G: -0.005921 Loss_D_real: -0.011291 Loss_D_fake 0.008937
[1535/5000][270/535][158440] Loss_D: -0.020154 Loss_G: 0.009189 Loss_D_real: -0.027441 Loss_D_fake -0.007287
[1535/5000][275/535][158441] Loss_D: -0.020559 Loss_G: -0.000264 Loss_D_real: -0.002666 Loss_D_fake 0.017893
[1535/5000][280/535][158442] Loss_D: -0.019591 Loss_G: 0.025416 Loss_D_real: -0.019368 Loss_D_fake 0.000222
[1535/5000][285/535][158443] Loss_D: -0.019186 Loss_G: -0.005201 Loss_D_real: -0.010503 Loss_D_fake 0.008682
[1535/5000][290/535][158444] Loss_D: -0.020407 Loss_G: 0.002606 Loss_D_real: -0.030484 Loss_D_fake -0.010077
[1535/5000][295/535][158445] Loss_D: -0.020372 Loss_G: 0.014198 Loss_D_real: -0.011257 Loss_D_fake 0.009114
[1535/5000][300/535][158446] Loss_D: -0.019459 Loss_G: 0.002941 Loss_D_real: -0.009620 Loss_D_fake 0.009839
[1535/5000][305/535][158447] Loss_D: -0.017388 Loss_G: 0.019748 Loss_D_real: -0.031593 Loss_D_fake -0.014205
[1535/5000][310/535][158448] Loss_D: -0.019482 Loss_G: 0.015679 Loss_D_real: -0.020541 Loss_D_fake -0.001059
[1535/5000][315/535][158449] Loss_D: -0.020083 Loss_G: 0.001522 Loss_D_real: -0.023799 Loss_D_fake -0.003715
[1535/5000][320/535][158450] Loss_D: -0.019851 Loss_G: 0.002262 Loss_D_real: -0.011229 Loss_D_fake 0.008622
[1535/5000][325/535][158451] Loss_D: -0.018714 Loss_G: 0.006057 Loss_D_real: -0.015483 Loss_D_fake 0.003231
[1535/5000][330/535][158452] Loss_D: -0.020397 Loss_G: 0.015044 Loss_D_real: -0.033359 Loss_D_fake -0.012962
[1535/5000][335/535][158453] Loss_D: -0.019974 Loss_G: 0.011873 Loss_D_real: -0.018286 Loss_D_fake 0.001688
[1535/5000][340/535][158454] Loss_D: -0.019470 Loss_G: 0.016269 Loss_D_real: -0.027384 Loss_D_fake -0.007913
[1535/5000][345/535][158455] Loss_D: -0.019861 Loss_G: 0.009617 Loss_D_real: -0.026229 Loss_D_fake -0.006368
[1535/5000][350/535][158456] Loss_D: -0.019461 Loss_G: 0.006435 Loss_D_real: 0.000219 Loss_D_fake 0.019680
[1535/5000][355/535][158457] Loss_D: -0.018773 Loss_G: -0.001958 Loss_D_real: -0.005750 Loss_D_fake 0.013023
[1535/5000][360/535][158458] Loss_D: -0.019797 Loss_G: 0.014832 Loss_D_real: -0.019022 Loss_D_fake 0.000776
[1535/5000][365/535][158459] Loss_D: -0.018982 Loss_G: -0.010113 Loss_D_real: -0.000612 Loss_D_fake 0.018370
[1535/5000][370/535][158460] Loss_D: -0.020567 Loss_G: -0.008170 Loss_D_real: -0.008513 Loss_D_fake 0.012054
[1535/5000][375/535][158461] Loss_D: -0.019908 Loss_G: 0.004613 Loss_D_real: -0.008791 Loss_D_fake 0.011117
[1535/5000][380/535][158462] Loss_D: -0.018816 Loss_G: 0.020677 Loss_D_real: -0.027126 Loss_D_fake -0.008311
[1535/5000][385/535][158463] Loss_D: -0.019119 Loss_G: -0.003388 Loss_D_real: -0.006590 Loss_D_fake 0.012529
[1535/5000][390/535][158464] Loss_D: -0.018112 Loss_G: 0.016461 Loss_D_real: -0.020553 Loss_D_fake -0.002441
[1535/5000][395/535][158465] Loss_D: -0.018668 Loss_G: 0.027423 Loss_D_real: -0.029468 Loss_D_fake -0.010800
[1535/5000][400/535][158466] Loss_D: -0.019838 Loss_G: 0.001464 Loss_D_real: -0.022965 Loss_D_fake -0.003127
[1535/5000][405/535][158467] Loss_D: -0.020926 Loss_G: 0.002820 Loss_D_real: -0.012072 Loss_D_fake 0.008854
[1535/5000][410/535][158468] Loss_D: -0.018610 Loss_G: 0.003715 Loss_D_real: -0.017684 Loss_D_fake 0.000925
[1535/5000][415/535][158469] Loss_D: -0.019213 Loss_G: 0.009136 Loss_D_real: -0.019179 Loss_D_fake 0.000034
[1535/5000][420/535][158470] Loss_D: -0.018653 Loss_G: 0.027287 Loss_D_real: -0.018586 Loss_D_fake 0.000067
[1535/5000][425/535][158471] Loss_D: -0.020163 Loss_G: 0.009010 Loss_D_real: -0.021186 Loss_D_fake -0.001022
[1535/5000][430/535][158472] Loss_D: -0.018952 Loss_G: -0.002858 Loss_D_real: -0.008257 Loss_D_fake 0.010695
[1535/5000][435/535][158473] Loss_D: -0.020172 Loss_G: 0.009060 Loss_D_real: -0.021135 Loss_D_fake -0.000963
[1535/5000][440/535][158474] Loss_D: -0.018378 Loss_G: -0.016451 Loss_D_real: -0.002072 Loss_D_fake 0.016306
[1535/5000][445/535][158475] Loss_D: -0.020000 Loss_G: -0.012775 Loss_D_real: -0.007658 Loss_D_fake 0.012342
[1535/5000][450/535][158476] Loss_D: -0.020330 Loss_G: 0.009695 Loss_D_real: -0.015131 Loss_D_fake 0.005199
[1535/5000][455/535][158477] Loss_D: -0.018361 Loss_G: 0.004648 Loss_D_real: -0.010240 Loss_D_fake 0.008121
[1535/5000][460/535][158478] Loss_D: -0.019091 Loss_G: 0.018831 Loss_D_real: -0.036380 Loss_D_fake -0.017290
[1535/5000][465/535][158479] Loss_D: -0.018257 Loss_G: 0.001538 Loss_D_real: -0.017051 Loss_D_fake 0.001206
[1535/5000][470/535][158480] Loss_D: -0.019534 Loss_G: 0.005240 Loss_D_real: -0.015959 Loss_D_fake 0.003575
[1535/5000][475/535][158481] Loss_D: -0.018358 Loss_G: -0.017019 Loss_D_real: -0.003018 Loss_D_fake 0.015340
[1535/5000][480/535][158482] Loss_D: -0.019534 Loss_G: 0.017945 Loss_D_real: -0.018419 Loss_D_fake 0.001115
[1535/5000][485/535][158483] Loss_D: -0.018869 Loss_G: 0.004934 Loss_D_real: -0.013834 Loss_D_fake 0.005035
[1535/5000][490/535][158484] Loss_D: -0.018754 Loss_G: 0.001713 Loss_D_real: -0.004389 Loss_D_fake 0.014365
[1535/5000][495/535][158485] Loss_D: -0.018633 Loss_G: 0.001555 Loss_D_real: -0.012947 Loss_D_fake 0.005686
[1535/5000][500/535][158486] Loss_D: -0.021029 Loss_G: 0.012685 Loss_D_real: -0.015927 Loss_D_fake 0.005102
[1535/5000][505/535][158487] Loss_D: -0.020028 Loss_G: -0.011976 Loss_D_real: 0.001384 Loss_D_fake 0.021412
[1535/5000][510/535][158488] Loss_D: -0.018805 Loss_G: 0.016172 Loss_D_real: -0.029774 Loss_D_fake -0.010969
[1535/5000][515/535][158489] Loss_D: -0.019736 Loss_G: -0.004974 Loss_D_real: -0.000706 Loss_D_fake 0.019031
[1535/5000][520/535][158490] Loss_D: -0.019596 Loss_G: 0.015929 Loss_D_real: -0.017189 Loss_D_fake 0.002407
[1535/5000][525/535][158491] Loss_D: -0.019157 Loss_G: -0.001451 Loss_D_real: -0.007798 Loss_D_fake 0.011359
[1535/5000][530/535][158492] Loss_D: -0.018752 Loss_G: 0.006946 Loss_D_real: -0.022537 Loss_D_fake -0.003785
[1535/5000][535/535][158493] Loss_D: -0.017723 Loss_G: -0.020742 Loss_D_real: -0.006966 Loss_D_fake 0.010757
[1536/5000][5/535][158494] Loss_D: -0.019808 Loss_G: 0.023951 Loss_D_real: -0.023819 Loss_D_fake -0.004012
[1536/5000][10/535][158495] Loss_D: -0.021154 Loss_G: 0.020971 Loss_D_real: -0.027759 Loss_D_fake -0.006604
[1536/5000][15/535][158496] Loss_D: -0.018101 Loss_G: 0.019985 Loss_D_real: -0.027343 Loss_D_fake -0.009242
[1536/5000][20/535][158497] Loss_D: -0.021402 Loss_G: 0.007327 Loss_D_real: -0.018275 Loss_D_fake 0.003128
[1536/5000][25/535][158498] Loss_D: -0.019041 Loss_G: 0.024763 Loss_D_real: -0.025613 Loss_D_fake -0.006572
[1536/5000][30/535][158499] Loss_D: -0.019122 Loss_G: 0.012029 Loss_D_real: -0.014707 Loss_D_fake 0.004416
[1536/5000][35/535][158500] Loss_D: -0.021010 Loss_G: 0.021056 Loss_D_real: -0.013182 Loss_D_fake 0.007828
[1536/5000][135/535][158501] Loss_D: -0.022523 Loss_G: 0.014544 Loss_D_real: -0.016997 Loss_D_fake 0.005526
[1536/5000][140/535][158502] Loss_D: -0.015183 Loss_G: 0.028896 Loss_D_real: -0.008847 Loss_D_fake 0.006336
[1536/5000][145/535][158503] Loss_D: -0.020331 Loss_G: 0.003311 Loss_D_real: -0.016502 Loss_D_fake 0.003829
[1536/5000][150/535][158504] Loss_D: -0.019279 Loss_G: -0.005040 Loss_D_real: -0.017680 Loss_D_fake 0.001599
[1536/5000][155/535][158505] Loss_D: -0.018392 Loss_G: 0.024971 Loss_D_real: -0.028353 Loss_D_fake -0.009961
[1536/5000][160/535][158506] Loss_D: -0.018928 Loss_G: 0.001830 Loss_D_real: -0.025864 Loss_D_fake -0.006936
[1536/5000][165/535][158507] Loss_D: -0.017786 Loss_G: 0.013469 Loss_D_real: -0.028124 Loss_D_fake -0.010338
[1536/5000][170/535][158508] Loss_D: -0.019893 Loss_G: -0.016330 Loss_D_real: -0.007384 Loss_D_fake 0.012509
[1536/5000][175/535][158509] Loss_D: -0.018489 Loss_G: 0.002572 Loss_D_real: -0.011968 Loss_D_fake 0.006522
[1536/5000][180/535][158510] Loss_D: -0.017191 Loss_G: -0.011442 Loss_D_real: -0.010915 Loss_D_fake 0.006276
[1536/5000][185/535][158511] Loss_D: -0.018599 Loss_G: 0.011476 Loss_D_real: -0.017025 Loss_D_fake 0.001573
[1536/5000][190/535][158512] Loss_D: -0.018540 Loss_G: 0.007219 Loss_D_real: -0.003260 Loss_D_fake 0.015281
[1536/5000][195/535][158513] Loss_D: -0.018882 Loss_G: 0.004523 Loss_D_real: -0.015091 Loss_D_fake 0.003791
[1536/5000][200/535][158514] Loss_D: -0.018665 Loss_G: 0.017075 Loss_D_real: -0.016038 Loss_D_fake 0.002626
[1536/5000][205/535][158515] Loss_D: -0.016983 Loss_G: 0.020116 Loss_D_real: -0.033947 Loss_D_fake -0.016964
[1536/5000][210/535][158516] Loss_D: -0.017450 Loss_G: -0.010681 Loss_D_real: 0.004943 Loss_D_fake 0.022393
[1536/5000][215/535][158517] Loss_D: -0.018180 Loss_G: 0.003100 Loss_D_real: -0.022186 Loss_D_fake -0.004006
[1536/5000][220/535][158518] Loss_D: -0.018519 Loss_G: -0.005695 Loss_D_real: -0.006597 Loss_D_fake 0.011922
[1536/5000][225/535][158519] Loss_D: -0.020213 Loss_G: 0.005766 Loss_D_real: -0.016586 Loss_D_fake 0.003627
[1536/5000][230/535][158520] Loss_D: -0.019241 Loss_G: -0.012876 Loss_D_real: -0.005741 Loss_D_fake 0.013500
[1536/5000][235/535][158521] Loss_D: -0.019139 Loss_G: 0.016507 Loss_D_real: -0.033757 Loss_D_fake -0.014617
[1536/5000][240/535][158522] Loss_D: -0.019242 Loss_G: 0.019728 Loss_D_real: -0.020117 Loss_D_fake -0.000876
[1536/5000][245/535][158523] Loss_D: -0.020792 Loss_G: -0.003849 Loss_D_real: -0.003816 Loss_D_fake 0.016976
[1536/5000][250/535][158524] Loss_D: -0.018830 Loss_G: -0.003987 Loss_D_real: -0.013394 Loss_D_fake 0.005436
[1536/5000][255/535][158525] Loss_D: -0.019138 Loss_G: 0.006096 Loss_D_real: -0.016354 Loss_D_fake 0.002784
[1536/5000][260/535][158526] Loss_D: -0.018936 Loss_G: 0.008953 Loss_D_real: -0.017336 Loss_D_fake 0.001600
[1536/5000][265/535][158527] Loss_D: -0.019692 Loss_G: -0.000073 Loss_D_real: -0.011356 Loss_D_fake 0.008336
[1536/5000][270/535][158528] Loss_D: -0.019531 Loss_G: -0.004805 Loss_D_real: -0.007862 Loss_D_fake 0.011669
[1536/5000][275/535][158529] Loss_D: -0.018582 Loss_G: 0.022422 Loss_D_real: -0.038201 Loss_D_fake -0.019619
[1536/5000][280/535][158530] Loss_D: -0.020238 Loss_G: -0.007019 Loss_D_real: -0.020858 Loss_D_fake -0.000620
[1536/5000][285/535][158531] Loss_D: -0.018958 Loss_G: 0.013851 Loss_D_real: -0.018596 Loss_D_fake 0.000362
[1536/5000][290/535][158532] Loss_D: -0.019420 Loss_G: 0.011514 Loss_D_real: -0.009306 Loss_D_fake 0.010115
[1536/5000][295/535][158533] Loss_D: -0.019975 Loss_G: -0.004309 Loss_D_real: -0.016052 Loss_D_fake 0.003923
[1536/5000][300/535][158534] Loss_D: -0.019437 Loss_G: 0.012129 Loss_D_real: -0.006440 Loss_D_fake 0.012997
[1536/5000][305/535][158535] Loss_D: -0.019353 Loss_G: 0.008375 Loss_D_real: -0.012650 Loss_D_fake 0.006703
[1536/5000][310/535][158536] Loss_D: -0.020557 Loss_G: 0.020881 Loss_D_real: -0.029423 Loss_D_fake -0.008867
[1536/5000][315/535][158537] Loss_D: -0.018613 Loss_G: 0.029334 Loss_D_real: -0.030887 Loss_D_fake -0.012273
[1536/5000][320/535][158538] Loss_D: -0.019945 Loss_G: 0.001893 Loss_D_real: -0.015546 Loss_D_fake 0.004399
[1536/5000][325/535][158539] Loss_D: -0.019732 Loss_G: 0.013066 Loss_D_real: -0.022202 Loss_D_fake -0.002469
[1536/5000][330/535][158540] Loss_D: -0.020473 Loss_G: -0.015409 Loss_D_real: 0.000417 Loss_D_fake 0.020890
[1536/5000][335/535][158541] Loss_D: -0.019351 Loss_G: -0.003993 Loss_D_real: -0.008753 Loss_D_fake 0.010598
[1536/5000][340/535][158542] Loss_D: -0.019365 Loss_G: 0.010370 Loss_D_real: -0.013072 Loss_D_fake 0.006293
[1536/5000][345/535][158543] Loss_D: -0.019038 Loss_G: 0.006493 Loss_D_real: -0.011683 Loss_D_fake 0.007355
[1536/5000][350/535][158544] Loss_D: -0.019840 Loss_G: 0.026803 Loss_D_real: -0.018872 Loss_D_fake 0.000968
[1536/5000][355/535][158545] Loss_D: -0.019538 Loss_G: 0.015980 Loss_D_real: -0.025215 Loss_D_fake -0.005677
[1536/5000][360/535][158546] Loss_D: -0.018764 Loss_G: 0.001047 Loss_D_real: -0.013300 Loss_D_fake 0.005465
[1536/5000][365/535][158547] Loss_D: -0.019831 Loss_G: -0.016716 Loss_D_real: -0.004028 Loss_D_fake 0.015802
[1536/5000][370/535][158548] Loss_D: -0.018557 Loss_G: 0.005963 Loss_D_real: -0.015383 Loss_D_fake 0.003174
[1536/5000][375/535][158549] Loss_D: -0.019821 Loss_G: 0.018495 Loss_D_real: -0.023402 Loss_D_fake -0.003582
[1536/5000][380/535][158550] Loss_D: -0.018982 Loss_G: 0.005819 Loss_D_real: -0.030991 Loss_D_fake -0.012008
[1536/5000][385/535][158551] Loss_D: -0.020080 Loss_G: 0.015500 Loss_D_real: -0.020049 Loss_D_fake 0.000031
[1536/5000][390/535][158552] Loss_D: -0.018392 Loss_G: 0.008378 Loss_D_real: -0.040069 Loss_D_fake -0.021678
[1536/5000][395/535][158553] Loss_D: -0.019899 Loss_G: -0.006809 Loss_D_real: -0.004473 Loss_D_fake 0.015426
[1536/5000][400/535][158554] Loss_D: -0.019643 Loss_G: 0.004423 Loss_D_real: -0.025362 Loss_D_fake -0.005720
[1536/5000][405/535][158555] Loss_D: -0.019578 Loss_G: 0.012703 Loss_D_real: -0.015499 Loss_D_fake 0.004079
[1536/5000][410/535][158556] Loss_D: -0.018645 Loss_G: 0.010504 Loss_D_real: -0.014764 Loss_D_fake 0.003881
[1536/5000][415/535][158557] Loss_D: -0.019978 Loss_G: 0.000055 Loss_D_real: -0.013502 Loss_D_fake 0.006476
[1536/5000][420/535][158558] Loss_D: -0.019187 Loss_G: 0.010535 Loss_D_real: -0.013628 Loss_D_fake 0.005559
[1536/5000][425/535][158559] Loss_D: -0.019743 Loss_G: 0.008171 Loss_D_real: -0.024158 Loss_D_fake -0.004415
[1536/5000][430/535][158560] Loss_D: -0.018265 Loss_G: -0.017360 Loss_D_real: 0.004676 Loss_D_fake 0.022941
[1536/5000][435/535][158561] Loss_D: -0.018330 Loss_G: -0.003271 Loss_D_real: -0.015507 Loss_D_fake 0.002822
[1536/5000][440/535][158562] Loss_D: -0.020688 Loss_G: 0.014944 Loss_D_real: -0.015487 Loss_D_fake 0.005201
[1536/5000][445/535][158563] Loss_D: -0.020008 Loss_G: -0.005549 Loss_D_real: 0.005146 Loss_D_fake 0.025153
[1536/5000][450/535][158564] Loss_D: -0.019378 Loss_G: 0.019185 Loss_D_real: -0.027569 Loss_D_fake -0.008191
[1536/5000][455/535][158565] Loss_D: -0.019359 Loss_G: -0.000777 Loss_D_real: -0.018682 Loss_D_fake 0.000677
[1536/5000][460/535][158566] Loss_D: -0.019943 Loss_G: 0.005400 Loss_D_real: -0.021216 Loss_D_fake -0.001272
[1536/5000][465/535][158567] Loss_D: -0.019152 Loss_G: -0.005290 Loss_D_real: -0.001550 Loss_D_fake 0.017602
[1536/5000][470/535][158568] Loss_D: -0.018751 Loss_G: 0.009993 Loss_D_real: -0.018480 Loss_D_fake 0.000271
[1536/5000][475/535][158569] Loss_D: -0.020402 Loss_G: 0.014117 Loss_D_real: -0.022981 Loss_D_fake -0.002579
[1536/5000][480/535][158570] Loss_D: -0.019286 Loss_G: -0.002319 Loss_D_real: -0.004821 Loss_D_fake 0.014465
[1536/5000][485/535][158571] Loss_D: -0.019567 Loss_G: 0.012079 Loss_D_real: -0.015700 Loss_D_fake 0.003867
[1536/5000][490/535][158572] Loss_D: -0.019733 Loss_G: 0.017188 Loss_D_real: -0.012954 Loss_D_fake 0.006778
[1536/5000][495/535][158573] Loss_D: -0.020430 Loss_G: 0.009890 Loss_D_real: -0.018708 Loss_D_fake 0.001723
[1536/5000][500/535][158574] Loss_D: -0.021015 Loss_G: 0.000508 Loss_D_real: -0.020599 Loss_D_fake 0.000416
[1536/5000][505/535][158575] Loss_D: -0.019599 Loss_G: 0.017923 Loss_D_real: -0.014630 Loss_D_fake 0.004969
[1536/5000][510/535][158576] Loss_D: -0.020229 Loss_G: 0.008507 Loss_D_real: -0.010328 Loss_D_fake 0.009900
[1536/5000][515/535][158577] Loss_D: -0.019045 Loss_G: 0.000628 Loss_D_real: -0.010338 Loss_D_fake 0.008707
[1536/5000][520/535][158578] Loss_D: -0.019937 Loss_G: 0.017279 Loss_D_real: -0.023585 Loss_D_fake -0.003648
[1536/5000][525/535][158579] Loss_D: -0.019922 Loss_G: 0.002746 Loss_D_real: -0.018936 Loss_D_fake 0.000986
[1536/5000][530/535][158580] Loss_D: -0.019909 Loss_G: 0.008410 Loss_D_real: -0.022925 Loss_D_fake -0.003015
[1536/5000][535/535][158581] Loss_D: -0.022733 Loss_G: 0.021432 Loss_D_real: -0.025160 Loss_D_fake -0.002427
[1537/5000][5/535][158582] Loss_D: -0.021016 Loss_G: 0.023778 Loss_D_real: -0.026942 Loss_D_fake -0.005926
[1537/5000][10/535][158583] Loss_D: -0.019321 Loss_G: 0.012249 Loss_D_real: -0.018259 Loss_D_fake 0.001062
[1537/5000][15/535][158584] Loss_D: -0.018909 Loss_G: 0.014258 Loss_D_real: -0.014298 Loss_D_fake 0.004611
[1537/5000][20/535][158585] Loss_D: -0.020113 Loss_G: -0.020451 Loss_D_real: 0.001934 Loss_D_fake 0.022047
[1537/5000][25/535][158586] Loss_D: -0.018332 Loss_G: 0.004113 Loss_D_real: -0.017269 Loss_D_fake 0.001063
[1537/5000][30/535][158587] Loss_D: -0.019759 Loss_G: 0.012426 Loss_D_real: -0.018155 Loss_D_fake 0.001605
[1537/5000][35/535][158588] Loss_D: -0.020961 Loss_G: 0.004081 Loss_D_real: -0.012619 Loss_D_fake 0.008342
[1537/5000][40/535][158589] Loss_D: -0.020356 Loss_G: -0.009065 Loss_D_real: -0.011518 Loss_D_fake 0.008837
[1537/5000][45/535][158590] Loss_D: -0.019701 Loss_G: 0.017729 Loss_D_real: -0.029510 Loss_D_fake -0.009809
[1537/5000][50/535][158591] Loss_D: -0.018191 Loss_G: 0.017501 Loss_D_real: -0.029972 Loss_D_fake -0.011781
[1537/5000][55/535][158592] Loss_D: -0.019737 Loss_G: 0.002277 Loss_D_real: -0.016801 Loss_D_fake 0.002935
[1537/5000][60/535][158593] Loss_D: -0.018901 Loss_G: 0.022348 Loss_D_real: -0.033963 Loss_D_fake -0.015062
[1537/5000][65/535][158594] Loss_D: -0.020059 Loss_G: 0.007129 Loss_D_real: -0.022369 Loss_D_fake -0.002310
[1537/5000][70/535][158595] Loss_D: -0.019297 Loss_G: 0.022185 Loss_D_real: -0.023785 Loss_D_fake -0.004488
[1537/5000][75/535][158596] Loss_D: -0.019050 Loss_G: 0.015271 Loss_D_real: -0.031275 Loss_D_fake -0.012226
[1537/5000][80/535][158597] Loss_D: -0.019225 Loss_G: 0.003617 Loss_D_real: -0.023598 Loss_D_fake -0.004374
[1537/5000][85/535][158598] Loss_D: -0.020265 Loss_G: 0.001784 Loss_D_real: -0.015115 Loss_D_fake 0.005150
[1537/5000][90/535][158599] Loss_D: -0.020970 Loss_G: 0.018630 Loss_D_real: -0.019043 Loss_D_fake 0.001927
[1537/5000][95/535][158600] Loss_D: -0.020656 Loss_G: -0.000377 Loss_D_real: -0.004657 Loss_D_fake 0.015999
[1537/5000][100/535][158601] Loss_D: -0.020448 Loss_G: 0.017126 Loss_D_real: -0.021634 Loss_D_fake -0.001186
[1537/5000][105/535][158602] Loss_D: -0.020836 Loss_G: 0.003299 Loss_D_real: -0.002849 Loss_D_fake 0.017987
[1537/5000][110/535][158603] Loss_D: -0.020675 Loss_G: 0.007905 Loss_D_real: -0.014864 Loss_D_fake 0.005810
[1537/5000][115/535][158604] Loss_D: -0.019677 Loss_G: -0.006176 Loss_D_real: -0.009528 Loss_D_fake 0.010149
[1537/5000][120/535][158605] Loss_D: -0.018454 Loss_G: 0.006071 Loss_D_real: -0.021725 Loss_D_fake -0.003271
[1537/5000][125/535][158606] Loss_D: -0.020376 Loss_G: 0.001967 Loss_D_real: -0.009859 Loss_D_fake 0.010517
[1537/5000][130/535][158607] Loss_D: -0.018173 Loss_G: 0.033478 Loss_D_real: -0.037898 Loss_D_fake -0.019726
[1537/5000][135/535][158608] Loss_D: -0.020120 Loss_G: -0.007362 Loss_D_real: -0.005680 Loss_D_fake 0.014440
[1537/5000][140/535][158609] Loss_D: -0.018302 Loss_G: 0.025536 Loss_D_real: -0.035634 Loss_D_fake -0.017331
[1537/5000][145/535][158610] Loss_D: -0.018783 Loss_G: 0.007122 Loss_D_real: -0.001410 Loss_D_fake 0.017374
[1537/5000][150/535][158611] Loss_D: -0.017721 Loss_G: 0.016942 Loss_D_real: -0.023626 Loss_D_fake -0.005905
[1537/5000][155/535][158612] Loss_D: -0.019038 Loss_G: 0.010817 Loss_D_real: -0.021880 Loss_D_fake -0.002842
[1537/5000][160/535][158613] Loss_D: -0.019206 Loss_G: 0.017982 Loss_D_real: -0.030486 Loss_D_fake -0.011281
[1537/5000][165/535][158614] Loss_D: -0.018258 Loss_G: -0.000862 Loss_D_real: -0.012924 Loss_D_fake 0.005335
[1537/5000][170/535][158615] Loss_D: -0.020163 Loss_G: 0.003707 Loss_D_real: -0.025457 Loss_D_fake -0.005295
[1537/5000][175/535][158616] Loss_D: -0.018521 Loss_G: 0.028744 Loss_D_real: -0.020558 Loss_D_fake -0.002037
[1537/5000][180/535][158617] Loss_D: -0.020149 Loss_G: 0.014256 Loss_D_real: -0.013018 Loss_D_fake 0.007131
[1537/5000][185/535][158618] Loss_D: -0.019891 Loss_G: -0.007172 Loss_D_real: -0.013586 Loss_D_fake 0.006304
[1537/5000][190/535][158619] Loss_D: -0.017542 Loss_G: 0.030944 Loss_D_real: -0.029019 Loss_D_fake -0.011477
[1537/5000][195/535][158620] Loss_D: -0.019521 Loss_G: -0.012236 Loss_D_real: -0.011766 Loss_D_fake 0.007755
[1537/5000][200/535][158621] Loss_D: -0.020540 Loss_G: 0.009804 Loss_D_real: -0.022728 Loss_D_fake -0.002188
[1537/5000][205/535][158622] Loss_D: -0.018595 Loss_G: 0.026612 Loss_D_real: -0.032188 Loss_D_fake -0.013593
[1537/5000][210/535][158623] Loss_D: -0.018719 Loss_G: -0.000894 Loss_D_real: -0.014658 Loss_D_fake 0.004061
[1537/5000][215/535][158624] Loss_D: -0.019593 Loss_G: 0.016294 Loss_D_real: -0.021950 Loss_D_fake -0.002358
[1537/5000][220/535][158625] Loss_D: -0.019139 Loss_G: 0.023139 Loss_D_real: -0.022330 Loss_D_fake -0.003191
[1537/5000][225/535][158626] Loss_D: -0.019741 Loss_G: 0.013644 Loss_D_real: -0.024051 Loss_D_fake -0.004310
[1537/5000][230/535][158627] Loss_D: -0.020037 Loss_G: 0.005186 Loss_D_real: -0.018053 Loss_D_fake 0.001984
[1537/5000][235/535][158628] Loss_D: -0.018177 Loss_G: 0.017559 Loss_D_real: -0.020437 Loss_D_fake -0.002260
[1537/5000][240/535][158629] Loss_D: -0.019129 Loss_G: 0.007827 Loss_D_real: -0.019383 Loss_D_fake -0.000254
[1537/5000][245/535][158630] Loss_D: -0.021112 Loss_G: 0.023467 Loss_D_real: -0.038552 Loss_D_fake -0.017440
[1537/5000][250/535][158631] Loss_D: -0.018695 Loss_G: 0.002332 Loss_D_real: -0.012662 Loss_D_fake 0.006033
[1537/5000][255/535][158632] Loss_D: -0.020146 Loss_G: 0.012398 Loss_D_real: -0.015949 Loss_D_fake 0.004196
[1537/5000][260/535][158633] Loss_D: -0.020246 Loss_G: 0.007710 Loss_D_real: -0.013407 Loss_D_fake 0.006839
[1537/5000][265/535][158634] Loss_D: -0.016338 Loss_G: -0.025367 Loss_D_real: 0.006569 Loss_D_fake 0.022907
[1537/5000][270/535][158635] Loss_D: -0.020128 Loss_G: 0.015504 Loss_D_real: -0.018944 Loss_D_fake 0.001183
[1537/5000][275/535][158636] Loss_D: -0.018761 Loss_G: -0.005827 Loss_D_real: -0.010274 Loss_D_fake 0.008487
[1537/5000][280/535][158637] Loss_D: -0.019404 Loss_G: 0.006287 Loss_D_real: -0.022102 Loss_D_fake -0.002698
[1537/5000][285/535][158638] Loss_D: -0.018831 Loss_G: -0.002848 Loss_D_real: -0.011050 Loss_D_fake 0.007782
[1537/5000][290/535][158639] Loss_D: -0.018138 Loss_G: 0.017014 Loss_D_real: -0.036211 Loss_D_fake -0.018073
[1537/5000][295/535][158640] Loss_D: -0.018825 Loss_G: 0.023350 Loss_D_real: -0.021934 Loss_D_fake -0.003109
[1537/5000][300/535][158641] Loss_D: -0.019254 Loss_G: 0.008340 Loss_D_real: -0.019690 Loss_D_fake -0.000437
[1537/5000][305/535][158642] Loss_D: -0.018060 Loss_G: -0.004185 Loss_D_real: -0.010659 Loss_D_fake 0.007401
[1537/5000][310/535][158643] Loss_D: -0.018851 Loss_G: 0.012582 Loss_D_real: -0.023572 Loss_D_fake -0.004721
[1537/5000][315/535][158644] Loss_D: -0.019523 Loss_G: -0.000756 Loss_D_real: -0.011967 Loss_D_fake 0.007557
[1537/5000][320/535][158645] Loss_D: -0.018466 Loss_G: 0.015668 Loss_D_real: -0.025094 Loss_D_fake -0.006628
[1537/5000][325/535][158646] Loss_D: -0.020127 Loss_G: 0.011744 Loss_D_real: -0.027530 Loss_D_fake -0.007403
[1537/5000][330/535][158647] Loss_D: -0.019393 Loss_G: 0.006159 Loss_D_real: -0.015744 Loss_D_fake 0.003649
[1537/5000][335/535][158648] Loss_D: -0.019515 Loss_G: -0.015161 Loss_D_real: -0.011463 Loss_D_fake 0.008052
[1537/5000][340/535][158649] Loss_D: -0.018342 Loss_G: 0.020857 Loss_D_real: -0.023630 Loss_D_fake -0.005288
[1537/5000][345/535][158650] Loss_D: -0.019488 Loss_G: 0.001403 Loss_D_real: -0.007648 Loss_D_fake 0.011840
[1537/5000][350/535][158651] Loss_D: -0.018860 Loss_G: 0.020865 Loss_D_real: -0.033992 Loss_D_fake -0.015132
[1537/5000][355/535][158652] Loss_D: -0.018247 Loss_G: 0.008061 Loss_D_real: -0.026100 Loss_D_fake -0.007853
[1537/5000][360/535][158653] Loss_D: -0.019085 Loss_G: 0.021626 Loss_D_real: -0.017542 Loss_D_fake 0.001543
[1537/5000][365/535][158654] Loss_D: -0.019716 Loss_G: 0.012770 Loss_D_real: -0.020305 Loss_D_fake -0.000590
[1537/5000][370/535][158655] Loss_D: -0.019696 Loss_G: -0.008099 Loss_D_real: -0.005551 Loss_D_fake 0.014145
[1537/5000][375/535][158656] Loss_D: -0.019489 Loss_G: 0.020645 Loss_D_real: -0.024106 Loss_D_fake -0.004618
[1537/5000][380/535][158657] Loss_D: -0.019300 Loss_G: 0.000771 Loss_D_real: 0.002915 Loss_D_fake 0.022216
[1537/5000][385/535][158658] Loss_D: -0.019969 Loss_G: 0.001752 Loss_D_real: -0.003305 Loss_D_fake 0.016664
[1537/5000][390/535][158659] Loss_D: -0.019735 Loss_G: 0.018381 Loss_D_real: -0.013491 Loss_D_fake 0.006243
[1537/5000][395/535][158660] Loss_D: -0.020175 Loss_G: -0.001349 Loss_D_real: -0.012127 Loss_D_fake 0.008047
[1537/5000][400/535][158661] Loss_D: -0.020485 Loss_G: 0.016110 Loss_D_real: -0.015532 Loss_D_fake 0.004953
[1537/5000][405/535][158662] Loss_D: -0.019739 Loss_G: -0.007388 Loss_D_real: -0.007926 Loss_D_fake 0.011813
[1537/5000][410/535][158663] Loss_D: -0.020313 Loss_G: 0.018273 Loss_D_real: -0.017550 Loss_D_fake 0.002763
[1537/5000][415/535][158664] Loss_D: -0.019246 Loss_G: 0.003116 Loss_D_real: -0.023625 Loss_D_fake -0.004379
[1537/5000][420/535][158665] Loss_D: -0.017901 Loss_G: -0.002582 Loss_D_real: -0.010315 Loss_D_fake 0.007586
[1537/5000][425/535][158666] Loss_D: -0.019658 Loss_G: 0.025203 Loss_D_real: -0.027581 Loss_D_fake -0.007922
[1537/5000][430/535][158667] Loss_D: -0.019396 Loss_G: -0.007003 Loss_D_real: -0.010598 Loss_D_fake 0.008798
[1537/5000][435/535][158668] Loss_D: -0.018872 Loss_G: 0.016062 Loss_D_real: -0.027986 Loss_D_fake -0.009114
[1537/5000][440/535][158669] Loss_D: -0.020785 Loss_G: 0.030459 Loss_D_real: -0.016137 Loss_D_fake 0.004648
[1537/5000][445/535][158670] Loss_D: -0.020778 Loss_G: 0.009468 Loss_D_real: -0.005017 Loss_D_fake 0.015761
[1537/5000][450/535][158671] Loss_D: -0.020825 Loss_G: 0.007296 Loss_D_real: -0.005728 Loss_D_fake 0.015097
[1537/5000][455/535][158672] Loss_D: -0.020273 Loss_G: 0.017488 Loss_D_real: -0.017357 Loss_D_fake 0.002916
[1537/5000][460/535][158673] Loss_D: -0.020568 Loss_G: 0.003850 Loss_D_real: -0.020614 Loss_D_fake -0.000047
[1537/5000][465/535][158674] Loss_D: -0.020879 Loss_G: 0.018618 Loss_D_real: -0.015223 Loss_D_fake 0.005656
[1537/5000][470/535][158675] Loss_D: -0.019627 Loss_G: 0.000662 Loss_D_real: -0.023175 Loss_D_fake -0.003548
[1537/5000][475/535][158676] Loss_D: -0.019612 Loss_G: -0.007462 Loss_D_real: -0.010816 Loss_D_fake 0.008797
[1537/5000][480/535][158677] Loss_D: -0.019809 Loss_G: 0.015671 Loss_D_real: -0.020154 Loss_D_fake -0.000345
[1537/5000][485/535][158678] Loss_D: -0.019335 Loss_G: 0.008275 Loss_D_real: 0.001191 Loss_D_fake 0.020526
[1537/5000][490/535][158679] Loss_D: -0.019070 Loss_G: 0.000718 Loss_D_real: -0.021807 Loss_D_fake -0.002736
[1537/5000][495/535][158680] Loss_D: -0.020011 Loss_G: 0.006059 Loss_D_real: -0.027260 Loss_D_fake -0.007249
[1537/5000][500/535][158681] Loss_D: -0.019278 Loss_G: 0.033953 Loss_D_real: -0.022980 Loss_D_fake -0.003702
[1537/5000][505/535][158682] Loss_D: -0.018945 Loss_G: -0.013077 Loss_D_real: -0.004418 Loss_D_fake 0.014527
[1537/5000][510/535][158683] Loss_D: -0.018519 Loss_G: -0.009049 Loss_D_real: -0.001294 Loss_D_fake 0.017226
[1537/5000][515/535][158684] Loss_D: -0.018018 Loss_G: -0.009435 Loss_D_real: 0.004463 Loss_D_fake 0.022481
[1537/5000][520/535][158685] Loss_D: -0.018739 Loss_G: 0.018599 Loss_D_real: -0.016669 Loss_D_fake 0.002070
[1537/5000][525/535][158686] Loss_D: -0.019381 Loss_G: -0.000315 Loss_D_real: -0.013049 Loss_D_fake 0.006333
[1537/5000][530/535][158687] Loss_D: -0.019675 Loss_G: 0.008865 Loss_D_real: -0.014134 Loss_D_fake 0.005541
[1537/5000][535/535][158688] Loss_D: -0.014950 Loss_G: 0.050455 Loss_D_real: -0.019557 Loss_D_fake -0.004607
[1538/5000][5/535][158689] Loss_D: -0.019204 Loss_G: 0.015523 Loss_D_real: -0.022486 Loss_D_fake -0.003282
[1538/5000][10/535][158690] Loss_D: -0.019300 Loss_G: 0.008442 Loss_D_real: -0.017773 Loss_D_fake 0.001527
[1538/5000][15/535][158691] Loss_D: -0.019870 Loss_G: 0.011912 Loss_D_real: -0.019263 Loss_D_fake 0.000607
[1538/5000][20/535][158692] Loss_D: -0.019249 Loss_G: 0.001297 Loss_D_real: -0.001130 Loss_D_fake 0.018118
[1538/5000][25/535][158693] Loss_D: -0.021567 Loss_G: -0.001746 Loss_D_real: -0.017425 Loss_D_fake 0.004141
[1538/5000][30/535][158694] Loss_D: -0.020136 Loss_G: 0.011497 Loss_D_real: -0.008831 Loss_D_fake 0.011305
[1538/5000][35/535][158695] Loss_D: -0.019473 Loss_G: -0.000231 Loss_D_real: -0.019403 Loss_D_fake 0.000070
[1538/5000][40/535][158696] Loss_D: -0.017521 Loss_G: 0.012871 Loss_D_real: -0.028145 Loss_D_fake -0.010624
[1538/5000][45/535][158697] Loss_D: -0.019260 Loss_G: -0.015636 Loss_D_real: -0.001612 Loss_D_fake 0.017648
[1538/5000][50/535][158698] Loss_D: -0.019967 Loss_G: 0.009739 Loss_D_real: -0.019996 Loss_D_fake -0.000029
[1538/5000][55/535][158699] Loss_D: -0.020501 Loss_G: -0.002639 Loss_D_real: 0.000724 Loss_D_fake 0.021225
[1538/5000][60/535][158700] Loss_D: -0.019617 Loss_G: -0.007968 Loss_D_real: -0.004208 Loss_D_fake 0.015409
[1538/5000][65/535][158701] Loss_D: -0.019991 Loss_G: 0.023403 Loss_D_real: -0.023394 Loss_D_fake -0.003403
[1538/5000][70/535][158702] Loss_D: -0.019680 Loss_G: 0.012259 Loss_D_real: -0.014086 Loss_D_fake 0.005593
[1538/5000][75/535][158703] Loss_D: -0.019182 Loss_G: 0.010629 Loss_D_real: -0.005504 Loss_D_fake 0.013678
[1538/5000][80/535][158704] Loss_D: -0.020652 Loss_G: 0.011234 Loss_D_real: -0.015501 Loss_D_fake 0.005151
[1538/5000][85/535][158705] Loss_D: -0.020315 Loss_G: 0.019851 Loss_D_real: -0.020775 Loss_D_fake -0.000460
[1538/5000][90/535][158706] Loss_D: -0.019205 Loss_G: 0.004467 Loss_D_real: -0.016705 Loss_D_fake 0.002500
[1538/5000][95/535][158707] Loss_D: -0.019007 Loss_G: -0.003446 Loss_D_real: -0.007928 Loss_D_fake 0.011079
[1538/5000][100/535][158708] Loss_D: -0.019479 Loss_G: 0.006291 Loss_D_real: -0.028081 Loss_D_fake -0.008601
[1538/5000][105/535][158709] Loss_D: -0.019084 Loss_G: 0.004944 Loss_D_real: -0.001352 Loss_D_fake 0.017732
[1538/5000][110/535][158710] Loss_D: -0.019037 Loss_G: 0.020654 Loss_D_real: -0.016264 Loss_D_fake 0.002774
[1538/5000][115/535][158711] Loss_D: -0.019258 Loss_G: 0.025537 Loss_D_real: -0.039312 Loss_D_fake -0.020054
[1538/5000][120/535][158712] Loss_D: -0.019473 Loss_G: 0.008622 Loss_D_real: -0.011472 Loss_D_fake 0.008001
[1538/5000][125/535][158713] Loss_D: -0.019741 Loss_G: -0.005968 Loss_D_real: -0.013609 Loss_D_fake 0.006133
[1538/5000][130/535][158714] Loss_D: -0.018960 Loss_G: 0.010180 Loss_D_real: -0.019547 Loss_D_fake -0.000588
[1538/5000][135/535][158715] Loss_D: -0.018999 Loss_G: 0.018035 Loss_D_real: -0.020310 Loss_D_fake -0.001311
[1538/5000][140/535][158716] Loss_D: -0.019257 Loss_G: -0.008346 Loss_D_real: -0.014501 Loss_D_fake 0.004756
[1538/5000][145/535][158717] Loss_D: -0.018260 Loss_G: -0.005180 Loss_D_real: -0.017660 Loss_D_fake 0.000600
[1538/5000][150/535][158718] Loss_D: -0.018122 Loss_G: 0.018376 Loss_D_real: -0.024750 Loss_D_fake -0.006628
[1538/5000][155/535][158719] Loss_D: -0.020458 Loss_G: 0.003680 Loss_D_real: -0.001799 Loss_D_fake 0.018659
[1538/5000][160/535][158720] Loss_D: -0.020809 Loss_G: 0.014597 Loss_D_real: -0.017976 Loss_D_fake 0.002833
[1538/5000][165/535][158721] Loss_D: -0.021031 Loss_G: -0.000504 Loss_D_real: -0.018628 Loss_D_fake 0.002402
[1538/5000][170/535][158722] Loss_D: -0.018862 Loss_G: -0.000865 Loss_D_real: -0.004511 Loss_D_fake 0.014352
[1538/5000][175/535][158723] Loss_D: -0.019624 Loss_G: -0.006964 Loss_D_real: -0.005283 Loss_D_fake 0.014341
[1538/5000][180/535][158724] Loss_D: -0.020020 Loss_G: 0.009638 Loss_D_real: -0.022250 Loss_D_fake -0.002231
[1538/5000][185/535][158725] Loss_D: -0.020648 Loss_G: 0.018693 Loss_D_real: -0.018823 Loss_D_fake 0.001824
[1538/5000][190/535][158726] Loss_D: -0.018933 Loss_G: -0.014015 Loss_D_real: -0.001865 Loss_D_fake 0.017067
[1538/5000][195/535][158727] Loss_D: -0.019674 Loss_G: 0.015597 Loss_D_real: -0.017770 Loss_D_fake 0.001903
[1538/5000][200/535][158728] Loss_D: -0.019090 Loss_G: 0.006979 Loss_D_real: 0.007738 Loss_D_fake 0.026828
[1538/5000][205/535][158729] Loss_D: -0.019804 Loss_G: 0.000031 Loss_D_real: -0.008337 Loss_D_fake 0.011467
[1538/5000][210/535][158730] Loss_D: -0.018758 Loss_G: 0.003866 Loss_D_real: -0.005559 Loss_D_fake 0.013199
[1538/5000][215/535][158731] Loss_D: -0.020645 Loss_G: -0.000006 Loss_D_real: -0.002623 Loss_D_fake 0.018023
[1538/5000][220/535][158732] Loss_D: -0.020359 Loss_G: -0.006622 Loss_D_real: -0.007609 Loss_D_fake 0.012750
[1538/5000][225/535][158733] Loss_D: -0.019604 Loss_G: 0.012917 Loss_D_real: -0.009688 Loss_D_fake 0.009917
[1538/5000][230/535][158734] Loss_D: -0.020536 Loss_G: 0.010599 Loss_D_real: -0.012046 Loss_D_fake 0.008490
[1538/5000][235/535][158735] Loss_D: -0.020242 Loss_G: 0.000820 Loss_D_real: 0.000409 Loss_D_fake 0.020651
[1538/5000][240/535][158736] Loss_D: -0.019530 Loss_G: 0.006581 Loss_D_real: -0.012592 Loss_D_fake 0.006937
[1538/5000][245/535][158737] Loss_D: -0.021885 Loss_G: 0.010134 Loss_D_real: -0.014436 Loss_D_fake 0.007449
[1538/5000][250/535][158738] Loss_D: -0.020209 Loss_G: 0.000173 Loss_D_real: -0.018890 Loss_D_fake 0.001318
[1538/5000][255/535][158739] Loss_D: -0.020284 Loss_G: 0.015425 Loss_D_real: -0.018662 Loss_D_fake 0.001622
[1538/5000][260/535][158740] Loss_D: -0.020298 Loss_G: -0.006072 Loss_D_real: 0.000237 Loss_D_fake 0.020535
[1538/5000][265/535][158741] Loss_D: -0.019315 Loss_G: 0.027882 Loss_D_real: -0.025641 Loss_D_fake -0.006326
[1538/5000][270/535][158742] Loss_D: -0.020164 Loss_G: 0.016466 Loss_D_real: -0.019764 Loss_D_fake 0.000400
[1538/5000][275/535][158743] Loss_D: -0.019516 Loss_G: -0.000263 Loss_D_real: -0.017391 Loss_D_fake 0.002125
[1538/5000][280/535][158744] Loss_D: -0.019998 Loss_G: 0.026674 Loss_D_real: -0.024026 Loss_D_fake -0.004027
[1538/5000][285/535][158745] Loss_D: -0.020558 Loss_G: -0.002194 Loss_D_real: -0.013593 Loss_D_fake 0.006965
[1538/5000][290/535][158746] Loss_D: -0.019355 Loss_G: 0.021812 Loss_D_real: -0.027923 Loss_D_fake -0.008568
[1538/5000][295/535][158747] Loss_D: -0.019430 Loss_G: 0.009479 Loss_D_real: -0.013646 Loss_D_fake 0.005784
[1538/5000][300/535][158748] Loss_D: -0.020366 Loss_G: 0.006806 Loss_D_real: -0.000894 Loss_D_fake 0.019472
[1538/5000][305/535][158749] Loss_D: -0.020716 Loss_G: 0.001857 Loss_D_real: -0.011454 Loss_D_fake 0.009262
[1538/5000][310/535][158750] Loss_D: -0.018366 Loss_G: 0.022287 Loss_D_real: -0.030064 Loss_D_fake -0.011698
[1538/5000][315/535][158751] Loss_D: -0.019795 Loss_G: 0.017455 Loss_D_real: -0.025170 Loss_D_fake -0.005375
[1538/5000][320/535][158752] Loss_D: -0.020871 Loss_G: 0.002357 Loss_D_real: -0.007512 Loss_D_fake 0.013359
[1538/5000][325/535][158753] Loss_D: -0.019972 Loss_G: 0.007487 Loss_D_real: -0.008829 Loss_D_fake 0.011144
[1538/5000][330/535][158754] Loss_D: -0.019735 Loss_G: -0.003324 Loss_D_real: -0.001268 Loss_D_fake 0.018468
[1538/5000][335/535][158755] Loss_D: -0.020043 Loss_G: 0.002028 Loss_D_real: -0.008282 Loss_D_fake 0.011762
[1538/5000][340/535][158756] Loss_D: -0.020010 Loss_G: 0.010933 Loss_D_real: -0.016358 Loss_D_fake 0.003652
[1538/5000][345/535][158757] Loss_D: -0.018198 Loss_G: 0.027851 Loss_D_real: -0.026142 Loss_D_fake -0.007944
[1538/5000][350/535][158758] Loss_D: -0.019718 Loss_G: 0.005475 Loss_D_real: -0.011173 Loss_D_fake 0.008545
[1538/5000][355/535][158759] Loss_D: -0.017448 Loss_G: 0.020613 Loss_D_real: -0.027499 Loss_D_fake -0.010052
[1538/5000][360/535][158760] Loss_D: -0.019526 Loss_G: 0.012521 Loss_D_real: -0.019789 Loss_D_fake -0.000262
[1538/5000][365/535][158761] Loss_D: -0.020610 Loss_G: -0.011647 Loss_D_real: -0.011899 Loss_D_fake 0.008712
[1538/5000][370/535][158762] Loss_D: -0.018013 Loss_G: 0.010473 Loss_D_real: -0.025411 Loss_D_fake -0.007398
[1538/5000][375/535][158763] Loss_D: -0.019283 Loss_G: 0.005148 Loss_D_real: -0.017968 Loss_D_fake 0.001315
[1538/5000][380/535][158764] Loss_D: -0.021241 Loss_G: 0.004614 Loss_D_real: -0.010599 Loss_D_fake 0.010641
[1538/5000][385/535][158765] Loss_D: -0.019725 Loss_G: 0.008623 Loss_D_real: -0.013284 Loss_D_fake 0.006441
[1538/5000][390/535][158766] Loss_D: -0.019988 Loss_G: 0.006558 Loss_D_real: -0.005962 Loss_D_fake 0.014027
[1538/5000][395/535][158767] Loss_D: -0.020569 Loss_G: 0.011508 Loss_D_real: -0.012091 Loss_D_fake 0.008478
[1538/5000][400/535][158768] Loss_D: -0.018645 Loss_G: 0.022276 Loss_D_real: -0.015383 Loss_D_fake 0.003262
[1538/5000][405/535][158769] Loss_D: -0.018714 Loss_G: -0.002643 Loss_D_real: -0.019793 Loss_D_fake -0.001079
[1538/5000][410/535][158770] Loss_D: -0.019800 Loss_G: 0.012440 Loss_D_real: -0.019276 Loss_D_fake 0.000524
[1538/5000][415/535][158771] Loss_D: -0.018966 Loss_G: 0.012710 Loss_D_real: -0.016029 Loss_D_fake 0.002937
[1538/5000][420/535][158772] Loss_D: -0.020898 Loss_G: 0.001879 Loss_D_real: -0.028862 Loss_D_fake -0.007964
[1538/5000][425/535][158773] Loss_D: -0.019569 Loss_G: -0.003153 Loss_D_real: -0.008613 Loss_D_fake 0.010956
[1538/5000][430/535][158774] Loss_D: -0.019960 Loss_G: 0.014568 Loss_D_real: -0.019247 Loss_D_fake 0.000714
[1538/5000][435/535][158775] Loss_D: -0.019779 Loss_G: 0.013973 Loss_D_real: -0.027534 Loss_D_fake -0.007755
[1538/5000][440/535][158776] Loss_D: -0.020200 Loss_G: 0.022838 Loss_D_real: -0.019911 Loss_D_fake 0.000289
[1538/5000][445/535][158777] Loss_D: -0.019446 Loss_G: 0.020093 Loss_D_real: -0.027117 Loss_D_fake -0.007670
[1538/5000][450/535][158778] Loss_D: -0.019238 Loss_G: 0.007820 Loss_D_real: -0.016568 Loss_D_fake 0.002670
[1538/5000][455/535][158779] Loss_D: -0.020440 Loss_G: 0.008779 Loss_D_real: -0.019926 Loss_D_fake 0.000515
[1538/5000][460/535][158780] Loss_D: -0.019531 Loss_G: 0.001085 Loss_D_real: -0.007078 Loss_D_fake 0.012453
[1538/5000][465/535][158781] Loss_D: -0.020318 Loss_G: 0.009465 Loss_D_real: -0.016161 Loss_D_fake 0.004157
[1538/5000][470/535][158782] Loss_D: -0.018781 Loss_G: 0.026072 Loss_D_real: -0.025073 Loss_D_fake -0.006292
[1538/5000][475/535][158783] Loss_D: -0.020471 Loss_G: 0.003046 Loss_D_real: -0.014598 Loss_D_fake 0.005873
[1538/5000][480/535][158784] Loss_D: -0.020206 Loss_G: 0.006398 Loss_D_real: -0.019475 Loss_D_fake 0.000731
[1538/5000][485/535][158785] Loss_D: -0.019008 Loss_G: 0.009169 Loss_D_real: -0.016865 Loss_D_fake 0.002143
[1538/5000][490/535][158786] Loss_D: -0.018967 Loss_G: 0.023888 Loss_D_real: -0.033160 Loss_D_fake -0.014193
[1538/5000][495/535][158787] Loss_D: -0.020206 Loss_G: -0.002541 Loss_D_real: -0.006086 Loss_D_fake 0.014120
[1538/5000][500/535][158788] Loss_D: -0.019928 Loss_G: 0.007164 Loss_D_real: -0.025469 Loss_D_fake -0.005540
[1538/5000][505/535][158789] Loss_D: -0.018950 Loss_G: -0.019476 Loss_D_real: -0.003280 Loss_D_fake 0.015669
[1538/5000][510/535][158790] Loss_D: -0.018743 Loss_G: 0.007101 Loss_D_real: -0.032958 Loss_D_fake -0.014215
[1538/5000][515/535][158791] Loss_D: -0.018836 Loss_G: 0.001402 Loss_D_real: -0.009717 Loss_D_fake 0.009119
[1538/5000][520/535][158792] Loss_D: -0.019692 Loss_G: 0.031501 Loss_D_real: -0.025070 Loss_D_fake -0.005378
[1538/5000][525/535][158793] Loss_D: -0.020048 Loss_G: 0.014033 Loss_D_real: -0.010839 Loss_D_fake 0.009209
[1538/5000][530/535][158794] Loss_D: -0.019887 Loss_G: -0.009458 Loss_D_real: -0.022692 Loss_D_fake -0.002805
[1538/5000][535/535][158795] Loss_D: -0.018860 Loss_G: 0.019771 Loss_D_real: -0.011593 Loss_D_fake 0.007267
[1539/5000][5/535][158796] Loss_D: -0.019673 Loss_G: -0.002444 Loss_D_real: -0.022917 Loss_D_fake -0.003243
[1539/5000][10/535][158797] Loss_D: -0.020078 Loss_G: 0.014463 Loss_D_real: -0.012472 Loss_D_fake 0.007606
[1539/5000][15/535][158798] Loss_D: -0.019323 Loss_G: -0.002746 Loss_D_real: -0.007895 Loss_D_fake 0.011427
[1539/5000][20/535][158799] Loss_D: -0.020211 Loss_G: 0.019851 Loss_D_real: -0.020452 Loss_D_fake -0.000241
[1539/5000][25/535][158800] Loss_D: -0.021164 Loss_G: 0.006111 Loss_D_real: -0.025370 Loss_D_fake -0.004206
[1539/5000][30/535][158801] Loss_D: -0.021098 Loss_G: -0.002433 Loss_D_real: -0.003397 Loss_D_fake 0.017701
[1539/5000][35/535][158802] Loss_D: -0.019359 Loss_G: 0.004703 Loss_D_real: -0.015002 Loss_D_fake 0.004357
[1539/5000][40/535][158803] Loss_D: -0.020254 Loss_G: 0.012692 Loss_D_real: -0.011783 Loss_D_fake 0.008471
[1539/5000][45/535][158804] Loss_D: -0.021026 Loss_G: 0.007061 Loss_D_real: -0.016173 Loss_D_fake 0.004853
[1539/5000][50/535][158805] Loss_D: -0.019895 Loss_G: 0.004265 Loss_D_real: -0.024380 Loss_D_fake -0.004485
[1539/5000][55/535][158806] Loss_D: -0.019904 Loss_G: 0.004962 Loss_D_real: -0.009522 Loss_D_fake 0.010382
[1539/5000][60/535][158807] Loss_D: -0.018930 Loss_G: 0.018312 Loss_D_real: -0.028220 Loss_D_fake -0.009290
[1539/5000][65/535][158808] Loss_D: -0.019467 Loss_G: 0.010167 Loss_D_real: -0.027591 Loss_D_fake -0.008124
[1539/5000][70/535][158809] Loss_D: -0.019657 Loss_G: 0.017703 Loss_D_real: -0.024854 Loss_D_fake -0.005196
[1539/5000][75/535][158810] Loss_D: -0.020598 Loss_G: -0.005824 Loss_D_real: -0.010920 Loss_D_fake 0.009678
[1539/5000][80/535][158811] Loss_D: -0.018552 Loss_G: 0.016294 Loss_D_real: -0.030811 Loss_D_fake -0.012259
[1539/5000][85/535][158812] Loss_D: -0.018486 Loss_G: 0.000903 Loss_D_real: -0.025720 Loss_D_fake -0.007234
[1539/5000][90/535][158813] Loss_D: -0.019704 Loss_G: 0.011216 Loss_D_real: -0.016019 Loss_D_fake 0.003685
[1539/5000][95/535][158814] Loss_D: -0.021098 Loss_G: 0.001555 Loss_D_real: -0.011811 Loss_D_fake 0.009287
[1539/5000][100/535][158815] Loss_D: -0.020959 Loss_G: 0.014228 Loss_D_real: -0.023925 Loss_D_fake -0.002966
[1539/5000][105/535][158816] Loss_D: -0.019658 Loss_G: 0.014973 Loss_D_real: -0.021825 Loss_D_fake -0.002166
[1539/5000][110/535][158817] Loss_D: -0.019544 Loss_G: -0.004051 Loss_D_real: -0.009082 Loss_D_fake 0.010462
[1539/5000][115/535][158818] Loss_D: -0.019835 Loss_G: 0.035715 Loss_D_real: -0.029211 Loss_D_fake -0.009376
[1539/5000][120/535][158819] Loss_D: -0.019890 Loss_G: 0.023592 Loss_D_real: -0.020673 Loss_D_fake -0.000783
[1539/5000][125/535][158820] Loss_D: -0.020901 Loss_G: 0.008074 Loss_D_real: -0.032075 Loss_D_fake -0.011174
[1539/5000][130/535][158821] Loss_D: -0.019270 Loss_G: 0.016385 Loss_D_real: -0.023128 Loss_D_fake -0.003858
[1539/5000][135/535][158822] Loss_D: -0.019174 Loss_G: -0.004286 Loss_D_real: -0.007281 Loss_D_fake 0.011893
[1539/5000][140/535][158823] Loss_D: -0.018134 Loss_G: 0.005628 Loss_D_real: 0.004881 Loss_D_fake 0.023015
[1539/5000][145/535][158824] Loss_D: -0.019333 Loss_G: 0.014113 Loss_D_real: -0.012670 Loss_D_fake 0.006663
[1539/5000][150/535][158825] Loss_D: -0.019530 Loss_G: 0.013126 Loss_D_real: -0.018173 Loss_D_fake 0.001358
[1539/5000][155/535][158826] Loss_D: -0.020657 Loss_G: 0.007283 Loss_D_real: -0.025688 Loss_D_fake -0.005032
[1539/5000][160/535][158827] Loss_D: -0.019627 Loss_G: 0.019287 Loss_D_real: -0.031540 Loss_D_fake -0.011913
[1539/5000][165/535][158828] Loss_D: -0.018043 Loss_G: 0.005445 Loss_D_real: -0.023979 Loss_D_fake -0.005936
[1539/5000][170/535][158829] Loss_D: -0.020217 Loss_G: -0.004587 Loss_D_real: -0.016588 Loss_D_fake 0.003629
[1539/5000][175/535][158830] Loss_D: -0.020009 Loss_G: -0.000181 Loss_D_real: -0.007239 Loss_D_fake 0.012770
[1539/5000][180/535][158831] Loss_D: -0.018324 Loss_G: -0.006833 Loss_D_real: -0.007058 Loss_D_fake 0.011266
[1539/5000][185/535][158832] Loss_D: -0.019454 Loss_G: -0.004835 Loss_D_real: -0.019749 Loss_D_fake -0.000295
[1539/5000][190/535][158833] Loss_D: -0.020034 Loss_G: 0.003331 Loss_D_real: 0.003331 Loss_D_fake 0.023365
[1539/5000][195/535][158834] Loss_D: -0.019706 Loss_G: 0.002383 Loss_D_real: -0.015584 Loss_D_fake 0.004122
[1539/5000][200/535][158835] Loss_D: -0.018899 Loss_G: -0.006747 Loss_D_real: 0.001345 Loss_D_fake 0.020244
[1539/5000][205/535][158836] Loss_D: -0.020427 Loss_G: 0.016313 Loss_D_real: -0.011487 Loss_D_fake 0.008940
[1539/5000][210/535][158837] Loss_D: -0.019974 Loss_G: 0.011411 Loss_D_real: -0.011805 Loss_D_fake 0.008170
[1539/5000][215/535][158838] Loss_D: -0.020722 Loss_G: 0.025692 Loss_D_real: -0.022871 Loss_D_fake -0.002149
[1539/5000][220/535][158839] Loss_D: -0.020120 Loss_G: -0.002508 Loss_D_real: -0.024699 Loss_D_fake -0.004578
[1539/5000][225/535][158840] Loss_D: -0.020394 Loss_G: 0.006464 Loss_D_real: -0.023492 Loss_D_fake -0.003098
[1539/5000][230/535][158841] Loss_D: -0.020349 Loss_G: 0.009121 Loss_D_real: -0.023321 Loss_D_fake -0.002972
[1539/5000][235/535][158842] Loss_D: -0.020272 Loss_G: 0.022419 Loss_D_real: -0.035532 Loss_D_fake -0.015260
[1539/5000][240/535][158843] Loss_D: -0.019325 Loss_G: 0.017708 Loss_D_real: -0.014849 Loss_D_fake 0.004476
[1539/5000][245/535][158844] Loss_D: -0.019270 Loss_G: 0.004693 Loss_D_real: -0.004052 Loss_D_fake 0.015218
[1539/5000][250/535][158845] Loss_D: -0.018747 Loss_G: 0.006053 Loss_D_real: -0.022620 Loss_D_fake -0.003874
[1539/5000][255/535][158846] Loss_D: -0.020102 Loss_G: 0.009298 Loss_D_real: -0.006949 Loss_D_fake 0.013153
[1539/5000][260/535][158847] Loss_D: -0.019927 Loss_G: -0.000471 Loss_D_real: -0.013541 Loss_D_fake 0.006386
[1539/5000][265/535][158848] Loss_D: -0.018398 Loss_G: 0.027718 Loss_D_real: -0.031981 Loss_D_fake -0.013583
[1539/5000][270/535][158849] Loss_D: -0.019285 Loss_G: 0.007499 Loss_D_real: -0.013282 Loss_D_fake 0.006004
[1539/5000][275/535][158850] Loss_D: -0.020429 Loss_G: -0.004003 Loss_D_real: -0.016793 Loss_D_fake 0.003636
[1539/5000][280/535][158851] Loss_D: -0.020149 Loss_G: 0.019127 Loss_D_real: -0.025590 Loss_D_fake -0.005442
[1539/5000][285/535][158852] Loss_D: -0.019495 Loss_G: 0.019508 Loss_D_real: -0.015884 Loss_D_fake 0.003611
[1539/5000][290/535][158853] Loss_D: -0.020526 Loss_G: 0.009511 Loss_D_real: -0.028119 Loss_D_fake -0.007593
[1539/5000][295/535][158854] Loss_D: -0.019776 Loss_G: 0.006889 Loss_D_real: -0.022175 Loss_D_fake -0.002398
[1539/5000][300/535][158855] Loss_D: -0.020033 Loss_G: -0.009682 Loss_D_real: -0.012368 Loss_D_fake 0.007665
[1539/5000][305/535][158856] Loss_D: -0.021061 Loss_G: -0.014071 Loss_D_real: -0.014519 Loss_D_fake 0.006541
[1539/5000][310/535][158857] Loss_D: -0.020643 Loss_G: 0.012003 Loss_D_real: -0.026843 Loss_D_fake -0.006200
[1539/5000][315/535][158858] Loss_D: -0.017912 Loss_G: -0.002314 Loss_D_real: -0.010512 Loss_D_fake 0.007400
[1539/5000][320/535][158859] Loss_D: -0.020250 Loss_G: 0.010281 Loss_D_real: -0.009697 Loss_D_fake 0.010553
[1539/5000][325/535][158860] Loss_D: -0.019093 Loss_G: 0.004950 Loss_D_real: -0.025373 Loss_D_fake -0.006280
[1539/5000][330/535][158861] Loss_D: -0.020484 Loss_G: 0.006302 Loss_D_real: -0.012097 Loss_D_fake 0.008387
[1539/5000][335/535][158862] Loss_D: -0.020105 Loss_G: 0.006395 Loss_D_real: -0.017695 Loss_D_fake 0.002410
[1539/5000][340/535][158863] Loss_D: -0.018353 Loss_G: -0.010240 Loss_D_real: 0.018917 Loss_D_fake 0.037269
[1539/5000][345/535][158864] Loss_D: -0.018437 Loss_G: 0.013168 Loss_D_real: -0.020880 Loss_D_fake -0.002442
[1539/5000][350/535][158865] Loss_D: -0.019919 Loss_G: -0.010891 Loss_D_real: 0.010645 Loss_D_fake 0.030564
[1539/5000][355/535][158866] Loss_D: -0.019295 Loss_G: -0.002587 Loss_D_real: -0.016640 Loss_D_fake 0.002655
[1539/5000][360/535][158867] Loss_D: -0.020208 Loss_G: 0.020095 Loss_D_real: -0.015686 Loss_D_fake 0.004522
[1539/5000][365/535][158868] Loss_D: -0.020329 Loss_G: 0.006703 Loss_D_real: -0.012522 Loss_D_fake 0.007807
[1539/5000][370/535][158869] Loss_D: -0.021529 Loss_G: 0.003177 Loss_D_real: -0.022554 Loss_D_fake -0.001025
[1539/5000][375/535][158870] Loss_D: -0.019921 Loss_G: -0.011670 Loss_D_real: 0.003577 Loss_D_fake 0.023498
[1539/5000][380/535][158871] Loss_D: -0.019754 Loss_G: 0.022126 Loss_D_real: -0.030743 Loss_D_fake -0.010988
[1539/5000][385/535][158872] Loss_D: -0.019771 Loss_G: 0.006775 Loss_D_real: -0.013252 Loss_D_fake 0.006518
[1539/5000][390/535][158873] Loss_D: -0.019627 Loss_G: 0.016235 Loss_D_real: -0.016343 Loss_D_fake 0.003285
[1539/5000][395/535][158874] Loss_D: -0.019810 Loss_G: 0.003360 Loss_D_real: -0.015851 Loss_D_fake 0.003958
[1539/5000][400/535][158875] Loss_D: -0.019621 Loss_G: 0.012832 Loss_D_real: -0.018917 Loss_D_fake 0.000704
[1539/5000][405/535][158876] Loss_D: -0.019708 Loss_G: -0.002732 Loss_D_real: -0.000970 Loss_D_fake 0.018738
[1539/5000][410/535][158877] Loss_D: -0.016961 Loss_G: 0.030271 Loss_D_real: -0.034765 Loss_D_fake -0.017804
[1539/5000][415/535][158878] Loss_D: -0.018927 Loss_G: -0.002957 Loss_D_real: -0.018176 Loss_D_fake 0.000751
[1539/5000][420/535][158879] Loss_D: -0.018982 Loss_G: 0.005903 Loss_D_real: -0.007462 Loss_D_fake 0.011520
[1539/5000][425/535][158880] Loss_D: -0.020533 Loss_G: 0.010268 Loss_D_real: -0.010580 Loss_D_fake 0.009953
[1539/5000][430/535][158881] Loss_D: -0.019948 Loss_G: 0.017163 Loss_D_real: -0.012566 Loss_D_fake 0.007381
[1539/5000][435/535][158882] Loss_D: -0.018527 Loss_G: 0.018620 Loss_D_real: -0.029472 Loss_D_fake -0.010945
[1539/5000][440/535][158883] Loss_D: -0.019265 Loss_G: 0.018158 Loss_D_real: -0.023292 Loss_D_fake -0.004028
[1539/5000][445/535][158884] Loss_D: -0.019989 Loss_G: 0.007417 Loss_D_real: -0.015062 Loss_D_fake 0.004927
[1539/5000][450/535][158885] Loss_D: -0.019904 Loss_G: 0.002157 Loss_D_real: -0.003792 Loss_D_fake 0.016112
[1539/5000][455/535][158886] Loss_D: -0.019184 Loss_G: 0.002057 Loss_D_real: -0.012178 Loss_D_fake 0.007005
[1539/5000][460/535][158887] Loss_D: -0.021090 Loss_G: -0.009307 Loss_D_real: -0.009124 Loss_D_fake 0.011966
[1539/5000][465/535][158888] Loss_D: -0.020606 Loss_G: 0.015669 Loss_D_real: -0.019413 Loss_D_fake 0.001193
[1539/5000][470/535][158889] Loss_D: -0.019606 Loss_G: -0.002620 Loss_D_real: -0.012391 Loss_D_fake 0.007215
[1539/5000][475/535][158890] Loss_D: -0.021138 Loss_G: 0.009815 Loss_D_real: -0.023247 Loss_D_fake -0.002109
[1539/5000][480/535][158891] Loss_D: -0.019484 Loss_G: 0.015816 Loss_D_real: -0.022554 Loss_D_fake -0.003071
[1539/5000][485/535][158892] Loss_D: -0.019211 Loss_G: 0.019486 Loss_D_real: -0.016281 Loss_D_fake 0.002930
[1539/5000][490/535][158893] Loss_D: -0.020945 Loss_G: -0.000434 Loss_D_real: -0.006931 Loss_D_fake 0.014014
[1539/5000][495/535][158894] Loss_D: -0.018587 Loss_G: 0.014463 Loss_D_real: -0.014477 Loss_D_fake 0.004110
[1539/5000][500/535][158895] Loss_D: -0.018967 Loss_G: -0.000586 Loss_D_real: -0.014898 Loss_D_fake 0.004069
[1539/5000][505/535][158896] Loss_D: -0.018823 Loss_G: 0.030867 Loss_D_real: -0.032438 Loss_D_fake -0.013615
[1539/5000][510/535][158897] Loss_D: -0.019264 Loss_G: 0.006540 Loss_D_real: -0.020605 Loss_D_fake -0.001342
[1539/5000][515/535][158898] Loss_D: -0.019256 Loss_G: 0.018232 Loss_D_real: -0.022596 Loss_D_fake -0.003340
[1539/5000][520/535][158899] Loss_D: -0.018413 Loss_G: 0.012568 Loss_D_real: -0.020454 Loss_D_fake -0.002040
[1539/5000][525/535][158900] Loss_D: -0.019498 Loss_G: 0.012113 Loss_D_real: -0.030125 Loss_D_fake -0.010627
[1539/5000][530/535][158901] Loss_D: -0.020409 Loss_G: -0.001152 Loss_D_real: -0.016534 Loss_D_fake 0.003875
[1539/5000][535/535][158902] Loss_D: -0.019493 Loss_G: 0.014944 Loss_D_real: -0.034200 Loss_D_fake -0.014707
[1540/5000][5/535][158903] Loss_D: -0.020273 Loss_G: 0.011387 Loss_D_real: -0.023642 Loss_D_fake -0.003369
[1540/5000][10/535][158904] Loss_D: -0.017433 Loss_G: 0.020840 Loss_D_real: -0.028719 Loss_D_fake -0.011286
[1540/5000][15/535][158905] Loss_D: -0.020096 Loss_G: 0.007637 Loss_D_real: -0.012731 Loss_D_fake 0.007365
[1540/5000][20/535][158906] Loss_D: -0.020209 Loss_G: -0.001150 Loss_D_real: -0.015069 Loss_D_fake 0.005140
[1540/5000][25/535][158907] Loss_D: -0.020082 Loss_G: 0.007431 Loss_D_real: -0.025791 Loss_D_fake -0.005708
[1540/5000][30/535][158908] Loss_D: -0.020403 Loss_G: 0.007466 Loss_D_real: -0.019806 Loss_D_fake 0.000597
[1540/5000][35/535][158909] Loss_D: -0.018226 Loss_G: 0.009219 Loss_D_real: -0.028908 Loss_D_fake -0.010682
[1540/5000][40/535][158910] Loss_D: -0.021501 Loss_G: -0.000582 Loss_D_real: -0.015581 Loss_D_fake 0.005920
[1540/5000][45/535][158911] Loss_D: -0.019681 Loss_G: 0.005758 Loss_D_real: -0.016455 Loss_D_fake 0.003225
[1540/5000][50/535][158912] Loss_D: -0.020321 Loss_G: 0.023885 Loss_D_real: -0.020047 Loss_D_fake 0.000274
[1540/5000][55/535][158913] Loss_D: -0.019142 Loss_G: 0.016364 Loss_D_real: -0.014298 Loss_D_fake 0.004844
[1540/5000][60/535][158914] Loss_D: -0.019245 Loss_G: 0.013975 Loss_D_real: -0.008178 Loss_D_fake 0.011067
[1540/5000][65/535][158915] Loss_D: -0.020039 Loss_G: -0.000981 Loss_D_real: -0.013818 Loss_D_fake 0.006221
[1540/5000][70/535][158916] Loss_D: -0.018430 Loss_G: 0.015624 Loss_D_real: -0.025291 Loss_D_fake -0.006861
[1540/5000][75/535][158917] Loss_D: -0.019873 Loss_G: 0.010258 Loss_D_real: -0.011457 Loss_D_fake 0.008416
[1540/5000][80/535][158918] Loss_D: -0.018850 Loss_G: 0.022540 Loss_D_real: -0.027880 Loss_D_fake -0.009030
[1540/5000][85/535][158919] Loss_D: -0.020476 Loss_G: 0.009752 Loss_D_real: -0.020147 Loss_D_fake 0.000329
[1540/5000][90/535][158920] Loss_D: -0.019494 Loss_G: 0.008637 Loss_D_real: -0.011648 Loss_D_fake 0.007846
[1540/5000][95/535][158921] Loss_D: -0.019722 Loss_G: 0.018454 Loss_D_real: -0.021878 Loss_D_fake -0.002156
[1540/5000][100/535][158922] Loss_D: -0.019975 Loss_G: 0.007910 Loss_D_real: -0.009406 Loss_D_fake 0.010569
[1540/5000][105/535][158923] Loss_D: -0.019416 Loss_G: -0.015310 Loss_D_real: -0.008255 Loss_D_fake 0.011161
[1540/5000][110/535][158924] Loss_D: -0.018630 Loss_G: 0.001862 Loss_D_real: -0.008747 Loss_D_fake 0.009883
[1540/5000][115/535][158925] Loss_D: -0.018646 Loss_G: 0.026128 Loss_D_real: -0.022973 Loss_D_fake -0.004327
[1540/5000][120/535][158926] Loss_D: -0.018977 Loss_G: 0.000640 Loss_D_real: -0.011386 Loss_D_fake 0.007591
[1540/5000][125/535][158927] Loss_D: -0.020320 Loss_G: 0.009765 Loss_D_real: -0.013599 Loss_D_fake 0.006721
[1540/5000][130/535][158928] Loss_D: -0.019423 Loss_G: -0.013097 Loss_D_real: -0.006772 Loss_D_fake 0.012651
[1540/5000][135/535][158929] Loss_D: -0.018383 Loss_G: -0.006799 Loss_D_real: 0.000216 Loss_D_fake 0.018600
[1540/5000][140/535][158930] Loss_D: -0.020904 Loss_G: 0.009529 Loss_D_real: -0.011794 Loss_D_fake 0.009111
[1540/5000][145/535][158931] Loss_D: -0.018336 Loss_G: -0.009390 Loss_D_real: -0.011370 Loss_D_fake 0.006966
[1540/5000][150/535][158932] Loss_D: -0.020098 Loss_G: -0.004164 Loss_D_real: -0.002866 Loss_D_fake 0.017232
[1540/5000][155/535][158933] Loss_D: -0.019637 Loss_G: 0.004017 Loss_D_real: -0.015593 Loss_D_fake 0.004045
[1540/5000][160/535][158934] Loss_D: -0.019157 Loss_G: 0.030399 Loss_D_real: -0.020615 Loss_D_fake -0.001458
[1540/5000][165/535][158935] Loss_D: -0.020320 Loss_G: 0.008585 Loss_D_real: -0.004564 Loss_D_fake 0.015756
[1540/5000][170/535][158936] Loss_D: -0.019157 Loss_G: 0.005813 Loss_D_real: -0.014392 Loss_D_fake 0.004766
[1540/5000][175/535][158937] Loss_D: -0.018673 Loss_G: 0.023059 Loss_D_real: -0.035357 Loss_D_fake -0.016684
[1540/5000][180/535][158938] Loss_D: -0.018263 Loss_G: -0.007808 Loss_D_real: -0.000288 Loss_D_fake 0.017975
[1540/5000][185/535][158939] Loss_D: -0.020887 Loss_G: 0.021270 Loss_D_real: -0.014604 Loss_D_fake 0.006283
[1540/5000][190/535][158940] Loss_D: -0.020315 Loss_G: 0.005558 Loss_D_real: -0.013781 Loss_D_fake 0.006534
[1540/5000][195/535][158941] Loss_D: -0.018759 Loss_G: -0.010076 Loss_D_real: -0.000891 Loss_D_fake 0.017868
[1540/5000][200/535][158942] Loss_D: -0.020179 Loss_G: 0.003190 Loss_D_real: -0.022018 Loss_D_fake -0.001840
[1540/5000][205/535][158943] Loss_D: -0.020582 Loss_G: 0.012499 Loss_D_real: -0.013153 Loss_D_fake 0.007429
[1540/5000][210/535][158944] Loss_D: -0.019144 Loss_G: -0.018448 Loss_D_real: -0.008127 Loss_D_fake 0.011018
[1540/5000][215/535][158945] Loss_D: -0.020167 Loss_G: 0.021099 Loss_D_real: -0.028086 Loss_D_fake -0.007919
[1540/5000][220/535][158946] Loss_D: -0.019810 Loss_G: 0.006110 Loss_D_real: -0.011604 Loss_D_fake 0.008206
[1540/5000][225/535][158947] Loss_D: -0.020433 Loss_G: 0.020544 Loss_D_real: -0.021613 Loss_D_fake -0.001180
[1540/5000][230/535][158948] Loss_D: -0.020129 Loss_G: 0.010657 Loss_D_real: -0.018353 Loss_D_fake 0.001776
[1540/5000][235/535][158949] Loss_D: -0.018597 Loss_G: -0.009922 Loss_D_real: -0.016984 Loss_D_fake 0.001613
[1540/5000][240/535][158950] Loss_D: -0.018291 Loss_G: 0.027773 Loss_D_real: -0.019651 Loss_D_fake -0.001360
[1540/5000][245/535][158951] Loss_D: -0.020484 Loss_G: 0.007193 Loss_D_real: -0.016474 Loss_D_fake 0.004010
[1540/5000][250/535][158952] Loss_D: -0.018177 Loss_G: -0.011264 Loss_D_real: -0.002515 Loss_D_fake 0.015663
[1540/5000][255/535][158953] Loss_D: -0.020069 Loss_G: 0.013687 Loss_D_real: -0.018438 Loss_D_fake 0.001631
[1540/5000][260/535][158954] Loss_D: -0.017503 Loss_G: 0.030748 Loss_D_real: -0.029600 Loss_D_fake -0.012097
[1540/5000][265/535][158955] Loss_D: -0.021534 Loss_G: 0.004207 Loss_D_real: -0.009031 Loss_D_fake 0.012502
[1540/5000][270/535][158956] Loss_D: -0.020395 Loss_G: 0.010064 Loss_D_real: -0.017860 Loss_D_fake 0.002535
[1540/5000][275/535][158957] Loss_D: -0.019300 Loss_G: 0.003278 Loss_D_real: -0.004833 Loss_D_fake 0.014466
[1540/5000][280/535][158958] Loss_D: -0.021749 Loss_G: 0.011477 Loss_D_real: -0.025162 Loss_D_fake -0.003413
[1540/5000][285/535][158959] Loss_D: -0.018944 Loss_G: 0.018418 Loss_D_real: -0.024522 Loss_D_fake -0.005579
[1540/5000][290/535][158960] Loss_D: -0.020599 Loss_G: 0.015195 Loss_D_real: -0.018008 Loss_D_fake 0.002591
[1540/5000][295/535][158961] Loss_D: -0.019805 Loss_G: -0.011380 Loss_D_real: -0.009703 Loss_D_fake 0.010102
[1540/5000][300/535][158962] Loss_D: -0.019322 Loss_G: 0.025513 Loss_D_real: -0.025525 Loss_D_fake -0.006204
[1540/5000][305/535][158963] Loss_D: -0.020544 Loss_G: 0.006345 Loss_D_real: -0.017384 Loss_D_fake 0.003160
[1540/5000][310/535][158964] Loss_D: -0.019872 Loss_G: 0.025180 Loss_D_real: -0.020646 Loss_D_fake -0.000774
[1540/5000][315/535][158965] Loss_D: -0.019133 Loss_G: 0.008369 Loss_D_real: -0.014793 Loss_D_fake 0.004340
[1540/5000][320/535][158966] Loss_D: -0.019425 Loss_G: -0.002649 Loss_D_real: -0.013352 Loss_D_fake 0.006073
[1540/5000][325/535][158967] Loss_D: -0.019245 Loss_G: 0.009824 Loss_D_real: -0.023099 Loss_D_fake -0.003854
[1540/5000][330/535][158968] Loss_D: -0.019631 Loss_G: 0.004108 Loss_D_real: -0.013652 Loss_D_fake 0.005979
[1540/5000][335/535][158969] Loss_D: -0.018958 Loss_G: 0.008290 Loss_D_real: -0.021383 Loss_D_fake -0.002425
[1540/5000][340/535][158970] Loss_D: -0.020265 Loss_G: 0.016790 Loss_D_real: -0.021057 Loss_D_fake -0.000792
[1540/5000][345/535][158971] Loss_D: -0.019820 Loss_G: 0.012089 Loss_D_real: -0.016128 Loss_D_fake 0.003692
[1540/5000][350/535][158972] Loss_D: -0.020048 Loss_G: 0.004511 Loss_D_real: -0.003679 Loss_D_fake 0.016369
[1540/5000][355/535][158973] Loss_D: -0.017749 Loss_G: 0.024387 Loss_D_real: -0.018387 Loss_D_fake -0.000638
[1540/5000][360/535][158974] Loss_D: -0.021002 Loss_G: -0.002973 Loss_D_real: -0.012759 Loss_D_fake 0.008242
[1540/5000][365/535][158975] Loss_D: -0.019965 Loss_G: -0.012581 Loss_D_real: -0.003878 Loss_D_fake 0.016087
[1540/5000][370/535][158976] Loss_D: -0.020105 Loss_G: 0.022825 Loss_D_real: -0.022916 Loss_D_fake -0.002811
[1540/5000][375/535][158977] Loss_D: -0.020789 Loss_G: 0.003767 Loss_D_real: -0.010725 Loss_D_fake 0.010063
[1540/5000][380/535][158978] Loss_D: -0.019950 Loss_G: -0.001415 Loss_D_real: 0.000172 Loss_D_fake 0.020122
[1540/5000][385/535][158979] Loss_D: -0.019539 Loss_G: -0.014294 Loss_D_real: -0.012603 Loss_D_fake 0.006936
[1540/5000][390/535][158980] Loss_D: -0.018143 Loss_G: 0.024087 Loss_D_real: -0.021727 Loss_D_fake -0.003584
[1540/5000][395/535][158981] Loss_D: -0.016930 Loss_G: 0.023210 Loss_D_real: -0.031278 Loss_D_fake -0.014348
[1540/5000][400/535][158982] Loss_D: -0.020462 Loss_G: 0.013850 Loss_D_real: -0.017972 Loss_D_fake 0.002490
[1540/5000][405/535][158983] Loss_D: -0.018889 Loss_G: 0.020230 Loss_D_real: -0.040365 Loss_D_fake -0.021476
[1540/5000][410/535][158984] Loss_D: -0.020376 Loss_G: -0.002174 Loss_D_real: -0.026425 Loss_D_fake -0.006049
[1540/5000][415/535][158985] Loss_D: -0.017690 Loss_G: 0.021118 Loss_D_real: -0.025980 Loss_D_fake -0.008290
[1540/5000][420/535][158986] Loss_D: -0.020281 Loss_G: -0.012029 Loss_D_real: -0.000805 Loss_D_fake 0.019476
[1540/5000][425/535][158987] Loss_D: -0.017114 Loss_G: -0.019327 Loss_D_real: 0.000124 Loss_D_fake 0.017238
[1540/5000][430/535][158988] Loss_D: -0.019882 Loss_G: 0.004623 Loss_D_real: -0.007296 Loss_D_fake 0.012586
[1540/5000][435/535][158989] Loss_D: -0.018992 Loss_G: 0.023804 Loss_D_real: -0.023426 Loss_D_fake -0.004434
[1540/5000][440/535][158990] Loss_D: -0.018413 Loss_G: 0.018307 Loss_D_real: -0.029200 Loss_D_fake -0.010787
[1540/5000][445/535][158991] Loss_D: -0.020239 Loss_G: -0.005538 Loss_D_real: -0.004843 Loss_D_fake 0.015397
[1540/5000][450/535][158992] Loss_D: -0.018988 Loss_G: -0.013449 Loss_D_real: -0.012995 Loss_D_fake 0.005993
[1540/5000][455/535][158993] Loss_D: -0.018735 Loss_G: 0.022802 Loss_D_real: -0.026814 Loss_D_fake -0.008079
[1540/5000][460/535][158994] Loss_D: -0.019756 Loss_G: -0.001816 Loss_D_real: -0.014480 Loss_D_fake 0.005276
[1540/5000][465/535][158995] Loss_D: -0.018528 Loss_G: 0.004967 Loss_D_real: -0.015361 Loss_D_fake 0.003167
[1540/5000][470/535][158996] Loss_D: -0.019113 Loss_G: -0.005628 Loss_D_real: -0.009923 Loss_D_fake 0.009190
[1540/5000][475/535][158997] Loss_D: -0.019001 Loss_G: 0.023858 Loss_D_real: -0.025971 Loss_D_fake -0.006970
[1540/5000][480/535][158998] Loss_D: -0.019585 Loss_G: -0.002323 Loss_D_real: -0.019533 Loss_D_fake 0.000052
[1540/5000][485/535][158999] Loss_D: -0.019073 Loss_G: 0.003070 Loss_D_real: -0.006224 Loss_D_fake 0.012849
[1540/5000][490/535][159000] Loss_D: -0.018922 Loss_G: 0.011935 Loss_D_real: -0.025039 Loss_D_fake -0.006118
[1540/5000][535/535][159001] Loss_D: -0.022310 Loss_G: 0.027043 Loss_D_real: -0.032620 Loss_D_fake -0.010310
[1541/5000][5/535][159002] Loss_D: -0.021214 Loss_G: -0.006608 Loss_D_real: 0.004858 Loss_D_fake 0.026073
[1541/5000][10/535][159003] Loss_D: -0.019846 Loss_G: 0.010235 Loss_D_real: -0.009969 Loss_D_fake 0.009877
[1541/5000][15/535][159004] Loss_D: -0.018349 Loss_G: 0.018501 Loss_D_real: -0.021497 Loss_D_fake -0.003149
[1541/5000][20/535][159005] Loss_D: -0.020164 Loss_G: 0.002252 Loss_D_real: -0.021556 Loss_D_fake -0.001392
[1541/5000][25/535][159006] Loss_D: -0.019494 Loss_G: 0.005051 Loss_D_real: -0.013252 Loss_D_fake 0.006242
[1541/5000][30/535][159007] Loss_D: -0.020265 Loss_G: 0.015259 Loss_D_real: -0.029069 Loss_D_fake -0.008804
[1541/5000][35/535][159008] Loss_D: -0.020568 Loss_G: 0.009041 Loss_D_real: -0.012891 Loss_D_fake 0.007677
[1541/5000][40/535][159009] Loss_D: -0.020504 Loss_G: -0.004364 Loss_D_real: -0.007630 Loss_D_fake 0.012874
[1541/5000][45/535][159010] Loss_D: -0.019909 Loss_G: 0.023053 Loss_D_real: -0.026979 Loss_D_fake -0.007070
[1541/5000][50/535][159011] Loss_D: -0.019440 Loss_G: 0.014731 Loss_D_real: -0.016874 Loss_D_fake 0.002565
[1541/5000][55/535][159012] Loss_D: -0.019957 Loss_G: 0.011819 Loss_D_real: -0.024881 Loss_D_fake -0.004924
[1541/5000][60/535][159013] Loss_D: -0.018634 Loss_G: 0.006689 Loss_D_real: -0.003417 Loss_D_fake 0.015217
[1541/5000][65/535][159014] Loss_D: -0.020305 Loss_G: 0.006754 Loss_D_real: -0.017754 Loss_D_fake 0.002552
[1541/5000][70/535][159015] Loss_D: -0.019708 Loss_G: 0.007896 Loss_D_real: -0.022097 Loss_D_fake -0.002389
[1541/5000][75/535][159016] Loss_D: -0.019910 Loss_G: -0.008759 Loss_D_real: 0.000579 Loss_D_fake 0.020489
[1541/5000][80/535][159017] Loss_D: -0.018460 Loss_G: 0.011516 Loss_D_real: -0.022091 Loss_D_fake -0.003631
[1541/5000][85/535][159018] Loss_D: -0.019800 Loss_G: 0.009408 Loss_D_real: -0.003182 Loss_D_fake 0.016618
[1541/5000][90/535][159019] Loss_D: -0.019619 Loss_G: 0.009294 Loss_D_real: -0.017530 Loss_D_fake 0.002089
[1541/5000][95/535][159020] Loss_D: -0.019063 Loss_G: -0.003099 Loss_D_real: -0.005078 Loss_D_fake 0.013985
[1541/5000][100/535][159021] Loss_D: -0.018050 Loss_G: -0.019252 Loss_D_real: 0.003573 Loss_D_fake 0.021623
[1541/5000][105/535][159022] Loss_D: -0.018796 Loss_G: 0.006975 Loss_D_real: -0.022340 Loss_D_fake -0.003544
[1541/5000][110/535][159023] Loss_D: -0.019711 Loss_G: 0.007322 Loss_D_real: -0.017799 Loss_D_fake 0.001912
[1541/5000][115/535][159024] Loss_D: -0.018149 Loss_G: -0.010715 Loss_D_real: 0.003160 Loss_D_fake 0.021309
[1541/5000][120/535][159025] Loss_D: -0.018273 Loss_G: 0.009329 Loss_D_real: -0.020961 Loss_D_fake -0.002687
[1541/5000][125/535][159026] Loss_D: -0.019958 Loss_G: -0.016714 Loss_D_real: -0.002133 Loss_D_fake 0.017825
[1541/5000][130/535][159027] Loss_D: -0.019402 Loss_G: 0.013115 Loss_D_real: -0.007121 Loss_D_fake 0.012281
[1541/5000][135/535][159028] Loss_D: -0.019109 Loss_G: 0.013937 Loss_D_real: -0.016456 Loss_D_fake 0.002653
[1541/5000][140/535][159029] Loss_D: -0.019355 Loss_G: 0.016282 Loss_D_real: -0.012205 Loss_D_fake 0.007150
[1541/5000][145/535][159030] Loss_D: -0.020312 Loss_G: 0.004713 Loss_D_real: -0.034351 Loss_D_fake -0.014039
[1541/5000][150/535][159031] Loss_D: -0.019663 Loss_G: 0.010881 Loss_D_real: -0.010385 Loss_D_fake 0.009278
[1541/5000][155/535][159032] Loss_D: -0.018463 Loss_G: 0.017044 Loss_D_real: -0.021779 Loss_D_fake -0.003316
[1541/5000][160/535][159033] Loss_D: -0.019362 Loss_G: -0.002741 Loss_D_real: -0.001857 Loss_D_fake 0.017505
[1541/5000][165/535][159034] Loss_D: -0.018316 Loss_G: 0.031579 Loss_D_real: -0.028874 Loss_D_fake -0.010558
[1541/5000][170/535][159035] Loss_D: -0.020025 Loss_G: 0.006189 Loss_D_real: -0.013318 Loss_D_fake 0.006708
[1541/5000][175/535][159036] Loss_D: -0.018912 Loss_G: -0.007086 Loss_D_real: -0.010024 Loss_D_fake 0.008888
[1541/5000][180/535][159037] Loss_D: -0.018495 Loss_G: -0.006331 Loss_D_real: -0.009297 Loss_D_fake 0.009198
[1541/5000][185/535][159038] Loss_D: -0.018897 Loss_G: 0.015213 Loss_D_real: -0.022822 Loss_D_fake -0.003926
[1541/5000][190/535][159039] Loss_D: -0.019586 Loss_G: 0.024620 Loss_D_real: -0.030899 Loss_D_fake -0.011313
[1541/5000][195/535][159040] Loss_D: -0.020510 Loss_G: 0.001084 Loss_D_real: -0.014815 Loss_D_fake 0.005695
[1541/5000][200/535][159041] Loss_D: -0.020838 Loss_G: 0.012472 Loss_D_real: -0.014357 Loss_D_fake 0.006481
[1541/5000][205/535][159042] Loss_D: -0.019431 Loss_G: -0.000760 Loss_D_real: -0.004048 Loss_D_fake 0.015384
[1541/5000][210/535][159043] Loss_D: -0.020226 Loss_G: 0.003166 Loss_D_real: -0.002118 Loss_D_fake 0.018109
[1541/5000][215/535][159044] Loss_D: -0.018863 Loss_G: 0.024040 Loss_D_real: -0.032363 Loss_D_fake -0.013500
[1541/5000][220/535][159045] Loss_D: -0.020644 Loss_G: 0.026516 Loss_D_real: -0.018787 Loss_D_fake 0.001857
[1541/5000][225/535][159046] Loss_D: -0.018894 Loss_G: -0.004715 Loss_D_real: -0.014013 Loss_D_fake 0.004881
[1541/5000][230/535][159047] Loss_D: -0.020599 Loss_G: 0.004779 Loss_D_real: -0.007274 Loss_D_fake 0.013325
[1541/5000][235/535][159048] Loss_D: -0.019231 Loss_G: 0.005413 Loss_D_real: -0.022384 Loss_D_fake -0.003153
[1541/5000][240/535][159049] Loss_D: -0.020346 Loss_G: 0.003100 Loss_D_real: -0.025199 Loss_D_fake -0.004853
[1541/5000][245/535][159050] Loss_D: -0.019792 Loss_G: 0.008366 Loss_D_real: -0.016176 Loss_D_fake 0.003616
[1541/5000][250/535][159051] Loss_D: -0.017768 Loss_G: 0.013833 Loss_D_real: -0.012017 Loss_D_fake 0.005751
[1541/5000][255/535][159052] Loss_D: -0.018049 Loss_G: 0.036469 Loss_D_real: -0.031504 Loss_D_fake -0.013455
[1541/5000][260/535][159053] Loss_D: -0.019627 Loss_G: 0.017191 Loss_D_real: -0.021574 Loss_D_fake -0.001947
[1541/5000][265/535][159054] Loss_D: -0.020175 Loss_G: 0.018277 Loss_D_real: -0.021357 Loss_D_fake -0.001182
[1541/5000][270/535][159055] Loss_D: -0.020230 Loss_G: 0.010113 Loss_D_real: -0.014870 Loss_D_fake 0.005360
[1541/5000][275/535][159056] Loss_D: -0.021766 Loss_G: 0.004999 Loss_D_real: -0.017534 Loss_D_fake 0.004233
[1541/5000][280/535][159057] Loss_D: -0.019256 Loss_G: -0.004089 Loss_D_real: -0.015405 Loss_D_fake 0.003851
[1541/5000][285/535][159058] Loss_D: -0.019909 Loss_G: -0.001471 Loss_D_real: -0.023493 Loss_D_fake -0.003585
[1541/5000][290/535][159059] Loss_D: -0.021184 Loss_G: 0.014428 Loss_D_real: -0.013493 Loss_D_fake 0.007691
[1541/5000][295/535][159060] Loss_D: -0.020200 Loss_G: 0.021619 Loss_D_real: -0.026765 Loss_D_fake -0.006565
[1541/5000][300/535][159061] Loss_D: -0.020907 Loss_G: 0.004024 Loss_D_real: -0.003182 Loss_D_fake 0.017725
[1541/5000][305/535][159062] Loss_D: -0.021233 Loss_G: 0.019744 Loss_D_real: -0.021138 Loss_D_fake 0.000096
[1541/5000][310/535][159063] Loss_D: -0.020928 Loss_G: 0.004666 Loss_D_real: -0.016933 Loss_D_fake 0.003995
[1541/5000][315/535][159064] Loss_D: -0.020418 Loss_G: 0.018316 Loss_D_real: -0.018590 Loss_D_fake 0.001828
[1541/5000][320/535][159065] Loss_D: -0.020707 Loss_G: -0.002433 Loss_D_real: -0.011447 Loss_D_fake 0.009260
[1541/5000][325/535][159066] Loss_D: -0.018845 Loss_G: -0.009036 Loss_D_real: -0.007454 Loss_D_fake 0.011391
[1541/5000][330/535][159067] Loss_D: -0.019224 Loss_G: 0.014166 Loss_D_real: -0.003389 Loss_D_fake 0.015835
[1541/5000][335/535][159068] Loss_D: -0.019805 Loss_G: 0.006521 Loss_D_real: -0.019232 Loss_D_fake 0.000573
[1541/5000][340/535][159069] Loss_D: -0.018155 Loss_G: 0.008121 Loss_D_real: -0.023700 Loss_D_fake -0.005545
[1541/5000][345/535][159070] Loss_D: -0.019321 Loss_G: -0.002766 Loss_D_real: -0.016943 Loss_D_fake 0.002378
[1541/5000][350/535][159071] Loss_D: -0.019575 Loss_G: -0.001246 Loss_D_real: -0.002038 Loss_D_fake 0.017538
[1541/5000][355/535][159072] Loss_D: -0.018723 Loss_G: 0.015515 Loss_D_real: -0.019822 Loss_D_fake -0.001099
[1541/5000][360/535][159073] Loss_D: -0.019137 Loss_G: -0.010373 Loss_D_real: -0.014492 Loss_D_fake 0.004644
[1541/5000][365/535][159074] Loss_D: -0.020197 Loss_G: 0.000053 Loss_D_real: -0.002341 Loss_D_fake 0.017856
[1541/5000][370/535][159075] Loss_D: -0.020481 Loss_G: 0.011667 Loss_D_real: -0.015973 Loss_D_fake 0.004508
[1541/5000][375/535][159076] Loss_D: -0.019363 Loss_G: -0.001634 Loss_D_real: -0.017709 Loss_D_fake 0.001654
[1541/5000][380/535][159077] Loss_D: -0.017925 Loss_G: 0.007781 Loss_D_real: -0.020613 Loss_D_fake -0.002689
[1541/5000][385/535][159078] Loss_D: -0.017082 Loss_G: 0.020448 Loss_D_real: -0.035522 Loss_D_fake -0.018440
[1541/5000][390/535][159079] Loss_D: -0.019275 Loss_G: 0.009676 Loss_D_real: -0.011249 Loss_D_fake 0.008027
[1541/5000][395/535][159080] Loss_D: -0.020303 Loss_G: -0.004413 Loss_D_real: 0.000505 Loss_D_fake 0.020808
[1541/5000][400/535][159081] Loss_D: -0.020078 Loss_G: -0.001615 Loss_D_real: 0.002007 Loss_D_fake 0.022084
[1541/5000][405/535][159082] Loss_D: -0.019614 Loss_G: 0.017893 Loss_D_real: -0.014878 Loss_D_fake 0.004736
[1541/5000][410/535][159083] Loss_D: -0.019032 Loss_G: 0.021269 Loss_D_real: -0.035285 Loss_D_fake -0.016252
[1541/5000][415/535][159084] Loss_D: -0.019278 Loss_G: 0.016214 Loss_D_real: -0.019408 Loss_D_fake -0.000130
[1541/5000][420/535][159085] Loss_D: -0.019818 Loss_G: 0.006294 Loss_D_real: -0.005626 Loss_D_fake 0.014192
[1541/5000][425/535][159086] Loss_D: -0.019653 Loss_G: -0.004082 Loss_D_real: -0.009100 Loss_D_fake 0.010553
[1541/5000][430/535][159087] Loss_D: -0.018490 Loss_G: -0.007599 Loss_D_real: -0.006945 Loss_D_fake 0.011545
[1541/5000][435/535][159088] Loss_D: -0.019123 Loss_G: 0.016979 Loss_D_real: -0.026802 Loss_D_fake -0.007680
[1541/5000][440/535][159089] Loss_D: -0.019742 Loss_G: 0.001252 Loss_D_real: -0.004989 Loss_D_fake 0.014753
[1541/5000][445/535][159090] Loss_D: -0.017961 Loss_G: 0.025492 Loss_D_real: -0.030612 Loss_D_fake -0.012651
[1541/5000][450/535][159091] Loss_D: -0.018054 Loss_G: -0.010988 Loss_D_real: 0.007292 Loss_D_fake 0.025346
[1541/5000][455/535][159092] Loss_D: -0.017019 Loss_G: -0.026653 Loss_D_real: 0.005441 Loss_D_fake 0.022459
[1541/5000][460/535][159093] Loss_D: -0.017096 Loss_G: 0.025764 Loss_D_real: -0.023961 Loss_D_fake -0.006865
[1541/5000][465/535][159094] Loss_D: -0.019109 Loss_G: -0.002763 Loss_D_real: -0.009219 Loss_D_fake 0.009890
[1541/5000][470/535][159095] Loss_D: -0.019333 Loss_G: 0.011198 Loss_D_real: -0.014385 Loss_D_fake 0.004947
[1541/5000][475/535][159096] Loss_D: -0.020213 Loss_G: 0.020834 Loss_D_real: -0.014458 Loss_D_fake 0.005755
[1541/5000][480/535][159097] Loss_D: -0.018771 Loss_G: 0.013437 Loss_D_real: -0.023828 Loss_D_fake -0.005058
[1541/5000][485/535][159098] Loss_D: -0.020390 Loss_G: 0.008996 Loss_D_real: -0.007655 Loss_D_fake 0.012735
[1541/5000][490/535][159099] Loss_D: -0.020356 Loss_G: 0.013073 Loss_D_real: -0.018280 Loss_D_fake 0.002077
[1541/5000][495/535][159100] Loss_D: -0.021029 Loss_G: -0.001797 Loss_D_real: -0.007602 Loss_D_fake 0.013427
[1541/5000][500/535][159101] Loss_D: -0.019802 Loss_G: 0.005078 Loss_D_real: -0.001945 Loss_D_fake 0.017857
[1541/5000][505/535][159102] Loss_D: -0.019397 Loss_G: 0.006983 Loss_D_real: -0.017545 Loss_D_fake 0.001853
[1541/5000][510/535][159103] Loss_D: -0.021069 Loss_G: 0.006702 Loss_D_real: -0.011376 Loss_D_fake 0.009693
[1541/5000][515/535][159104] Loss_D: -0.019545 Loss_G: 0.026795 Loss_D_real: -0.022534 Loss_D_fake -0.002989
[1541/5000][520/535][159105] Loss_D: -0.019683 Loss_G: 0.011511 Loss_D_real: -0.025272 Loss_D_fake -0.005590
[1541/5000][525/535][159106] Loss_D: -0.019646 Loss_G: -0.002388 Loss_D_real: -0.028778 Loss_D_fake -0.009131
[1541/5000][530/535][159107] Loss_D: -0.021979 Loss_G: 0.019875 Loss_D_real: -0.004410 Loss_D_fake 0.017569
[1541/5000][535/535][159108] Loss_D: -0.021066 Loss_G: -0.009385 Loss_D_real: -0.004422 Loss_D_fake 0.016644
[1542/5000][5/535][159109] Loss_D: -0.019839 Loss_G: 0.009106 Loss_D_real: -0.010862 Loss_D_fake 0.008977
[1542/5000][10/535][159110] Loss_D: -0.019723 Loss_G: 0.007484 Loss_D_real: -0.002450 Loss_D_fake 0.017274
[1542/5000][15/535][159111] Loss_D: -0.018980 Loss_G: -0.012045 Loss_D_real: 0.006525 Loss_D_fake 0.025505
[1542/5000][20/535][159112] Loss_D: -0.018856 Loss_G: 0.000389 Loss_D_real: -0.023623 Loss_D_fake -0.004767
[1542/5000][25/535][159113] Loss_D: -0.020026 Loss_G: 0.007934 Loss_D_real: -0.023713 Loss_D_fake -0.003686
[1542/5000][30/535][159114] Loss_D: -0.020202 Loss_G: 0.001012 Loss_D_real: -0.023972 Loss_D_fake -0.003770
[1542/5000][35/535][159115] Loss_D: -0.020196 Loss_G: 0.015531 Loss_D_real: -0.021304 Loss_D_fake -0.001107
[1542/5000][40/535][159116] Loss_D: -0.019085 Loss_G: 0.005538 Loss_D_real: -0.020754 Loss_D_fake -0.001669
[1542/5000][45/535][159117] Loss_D: -0.020748 Loss_G: 0.011736 Loss_D_real: -0.008026 Loss_D_fake 0.012721
[1542/5000][50/535][159118] Loss_D: -0.018801 Loss_G: -0.004029 Loss_D_real: -0.004760 Loss_D_fake 0.014041
[1542/5000][55/535][159119] Loss_D: -0.019046 Loss_G: -0.008996 Loss_D_real: -0.020356 Loss_D_fake -0.001309
[1542/5000][60/535][159120] Loss_D: -0.018727 Loss_G: 0.022873 Loss_D_real: -0.021597 Loss_D_fake -0.002871
[1542/5000][65/535][159121] Loss_D: -0.017754 Loss_G: 0.017169 Loss_D_real: -0.019194 Loss_D_fake -0.001440
[1542/5000][70/535][159122] Loss_D: -0.019971 Loss_G: -0.013624 Loss_D_real: -0.012334 Loss_D_fake 0.007637
[1542/5000][75/535][159123] Loss_D: -0.019824 Loss_G: 0.007522 Loss_D_real: -0.021320 Loss_D_fake -0.001496
[1542/5000][80/535][159124] Loss_D: -0.019259 Loss_G: 0.000541 Loss_D_real: 0.004059 Loss_D_fake 0.023318
[1542/5000][85/535][159125] Loss_D: -0.019013 Loss_G: 0.006056 Loss_D_real: -0.012208 Loss_D_fake 0.006805
[1542/5000][90/535][159126] Loss_D: -0.020749 Loss_G: 0.021897 Loss_D_real: -0.016830 Loss_D_fake 0.003919
[1542/5000][95/535][159127] Loss_D: -0.020485 Loss_G: 0.004072 Loss_D_real: -0.011525 Loss_D_fake 0.008960
[1542/5000][100/535][159128] Loss_D: -0.019429 Loss_G: 0.021966 Loss_D_real: -0.023567 Loss_D_fake -0.004139
[1542/5000][105/535][159129] Loss_D: -0.021435 Loss_G: 0.005632 Loss_D_real: -0.015263 Loss_D_fake 0.006171
[1542/5000][110/535][159130] Loss_D: -0.019712 Loss_G: 0.004852 Loss_D_real: -0.011616 Loss_D_fake 0.008096
[1542/5000][115/535][159131] Loss_D: -0.018988 Loss_G: 0.005276 Loss_D_real: -0.022965 Loss_D_fake -0.003977
[1542/5000][120/535][159132] Loss_D: -0.020616 Loss_G: 0.004768 Loss_D_real: -0.026163 Loss_D_fake -0.005547
[1542/5000][125/535][159133] Loss_D: -0.019000 Loss_G: -0.013967 Loss_D_real: 0.000047 Loss_D_fake 0.019048
[1542/5000][130/535][159134] Loss_D: -0.020650 Loss_G: -0.006241 Loss_D_real: -0.021170 Loss_D_fake -0.000520
[1542/5000][135/535][159135] Loss_D: -0.020504 Loss_G: 0.000476 Loss_D_real: -0.008804 Loss_D_fake 0.011700
[1542/5000][140/535][159136] Loss_D: -0.020000 Loss_G: 0.028833 Loss_D_real: -0.012950 Loss_D_fake 0.007050
[1542/5000][145/535][159137] Loss_D: -0.019707 Loss_G: 0.003181 Loss_D_real: -0.016560 Loss_D_fake 0.003147
[1542/5000][150/535][159138] Loss_D: -0.020250 Loss_G: 0.020412 Loss_D_real: -0.019680 Loss_D_fake 0.000571
[1542/5000][155/535][159139] Loss_D: -0.020753 Loss_G: 0.012171 Loss_D_real: -0.014659 Loss_D_fake 0.006095
[1542/5000][160/535][159140] Loss_D: -0.020686 Loss_G: -0.001725 Loss_D_real: -0.010121 Loss_D_fake 0.010565
[1542/5000][165/535][159141] Loss_D: -0.020617 Loss_G: 0.016446 Loss_D_real: -0.028095 Loss_D_fake -0.007478
[1542/5000][170/535][159142] Loss_D: -0.021077 Loss_G: 0.002464 Loss_D_real: -0.014299 Loss_D_fake 0.006778
[1542/5000][175/535][159143] Loss_D: -0.019490 Loss_G: -0.010907 Loss_D_real: -0.007047 Loss_D_fake 0.012444
[1542/5000][180/535][159144] Loss_D: -0.019134 Loss_G: 0.000205 Loss_D_real: -0.016310 Loss_D_fake 0.002824
[1542/5000][185/535][159145] Loss_D: -0.019974 Loss_G: 0.008098 Loss_D_real: -0.003958 Loss_D_fake 0.016016
[1542/5000][190/535][159146] Loss_D: -0.019047 Loss_G: -0.002254 Loss_D_real: -0.017554 Loss_D_fake 0.001493
[1542/5000][195/535][159147] Loss_D: -0.019822 Loss_G: 0.030664 Loss_D_real: -0.021368 Loss_D_fake -0.001546
[1542/5000][200/535][159148] Loss_D: -0.020215 Loss_G: 0.012226 Loss_D_real: -0.013560 Loss_D_fake 0.006654
[1542/5000][205/535][159149] Loss_D: -0.019635 Loss_G: -0.003818 Loss_D_real: -0.010500 Loss_D_fake 0.009135
[1542/5000][210/535][159150] Loss_D: -0.019364 Loss_G: 0.011353 Loss_D_real: -0.019699 Loss_D_fake -0.000336
[1542/5000][215/535][159151] Loss_D: -0.018656 Loss_G: 0.011172 Loss_D_real: -0.018950 Loss_D_fake -0.000293
[1542/5000][220/535][159152] Loss_D: -0.019288 Loss_G: 0.011126 Loss_D_real: -0.020206 Loss_D_fake -0.000917
[1542/5000][225/535][159153] Loss_D: -0.019104 Loss_G: 0.017768 Loss_D_real: -0.027244 Loss_D_fake -0.008140
[1542/5000][230/535][159154] Loss_D: -0.019956 Loss_G: -0.024909 Loss_D_real: -0.009576 Loss_D_fake 0.010380
[1542/5000][235/535][159155] Loss_D: -0.017543 Loss_G: 0.025516 Loss_D_real: -0.028511 Loss_D_fake -0.010968
[1542/5000][240/535][159156] Loss_D: -0.019567 Loss_G: -0.007534 Loss_D_real: -0.013331 Loss_D_fake 0.006236
[1542/5000][245/535][159157] Loss_D: -0.017921 Loss_G: 0.007685 Loss_D_real: -0.009066 Loss_D_fake 0.008855
[1542/5000][250/535][159158] Loss_D: -0.019072 Loss_G: 0.017439 Loss_D_real: -0.024124 Loss_D_fake -0.005052
[1542/5000][255/535][159159] Loss_D: -0.019448 Loss_G: 0.006627 Loss_D_real: -0.014389 Loss_D_fake 0.005059
[1542/5000][260/535][159160] Loss_D: -0.018160 Loss_G: 0.006717 Loss_D_real: -0.015174 Loss_D_fake 0.002987
[1542/5000][265/535][159161] Loss_D: -0.017693 Loss_G: -0.007265 Loss_D_real: 0.002043 Loss_D_fake 0.019735
[1542/5000][270/535][159162] Loss_D: -0.019524 Loss_G: -0.008202 Loss_D_real: 0.002868 Loss_D_fake 0.022392
[1542/5000][275/535][159163] Loss_D: -0.019119 Loss_G: 0.010996 Loss_D_real: -0.018646 Loss_D_fake 0.000473
[1542/5000][280/535][159164] Loss_D: -0.019378 Loss_G: 0.004898 Loss_D_real: -0.012627 Loss_D_fake 0.006750
[1542/5000][285/535][159165] Loss_D: -0.020389 Loss_G: 0.006166 Loss_D_real: -0.021039 Loss_D_fake -0.000650
[1542/5000][290/535][159166] Loss_D: -0.019929 Loss_G: 0.007366 Loss_D_real: -0.009929 Loss_D_fake 0.010000
[1542/5000][295/535][159167] Loss_D: -0.019434 Loss_G: 0.012560 Loss_D_real: -0.023787 Loss_D_fake -0.004353
[1542/5000][300/535][159168] Loss_D: -0.019104 Loss_G: 0.015945 Loss_D_real: -0.021730 Loss_D_fake -0.002626
[1542/5000][305/535][159169] Loss_D: -0.018379 Loss_G: -0.001957 Loss_D_real: -0.005709 Loss_D_fake 0.012670
[1542/5000][310/535][159170] Loss_D: -0.020069 Loss_G: 0.008287 Loss_D_real: -0.003633 Loss_D_fake 0.016435
[1542/5000][315/535][159171] Loss_D: -0.020317 Loss_G: 0.011509 Loss_D_real: -0.019854 Loss_D_fake 0.000464
[1542/5000][320/535][159172] Loss_D: -0.021511 Loss_G: -0.017468 Loss_D_real: -0.003372 Loss_D_fake 0.018139
[1542/5000][325/535][159173] Loss_D: -0.020347 Loss_G: 0.019243 Loss_D_real: -0.022196 Loss_D_fake -0.001849
[1542/5000][330/535][159174] Loss_D: -0.020594 Loss_G: 0.019788 Loss_D_real: -0.035863 Loss_D_fake -0.015269
[1542/5000][335/535][159175] Loss_D: -0.019698 Loss_G: 0.001581 Loss_D_real: -0.013644 Loss_D_fake 0.006054
[1542/5000][340/535][159176] Loss_D: -0.020089 Loss_G: 0.013390 Loss_D_real: -0.009955 Loss_D_fake 0.010134
[1542/5000][345/535][159177] Loss_D: -0.020660 Loss_G: 0.014413 Loss_D_real: -0.020017 Loss_D_fake 0.000643
[1542/5000][350/535][159178] Loss_D: -0.019396 Loss_G: 0.024857 Loss_D_real: -0.028265 Loss_D_fake -0.008870
[1542/5000][355/535][159179] Loss_D: -0.017825 Loss_G: 0.001739 Loss_D_real: -0.008276 Loss_D_fake 0.009549
[1542/5000][360/535][159180] Loss_D: -0.018850 Loss_G: 0.012706 Loss_D_real: -0.029036 Loss_D_fake -0.010186
[1542/5000][365/535][159181] Loss_D: -0.018764 Loss_G: 0.006190 Loss_D_real: -0.023528 Loss_D_fake -0.004764
[1542/5000][370/535][159182] Loss_D: -0.020169 Loss_G: 0.023992 Loss_D_real: -0.021508 Loss_D_fake -0.001339
[1542/5000][375/535][159183] Loss_D: -0.020675 Loss_G: 0.008983 Loss_D_real: -0.016032 Loss_D_fake 0.004643
[1542/5000][380/535][159184] Loss_D: -0.022068 Loss_G: 0.010190 Loss_D_real: -0.023530 Loss_D_fake -0.001462
[1542/5000][385/535][159185] Loss_D: -0.019589 Loss_G: -0.007547 Loss_D_real: -0.002818 Loss_D_fake 0.016771
[1542/5000][390/535][159186] Loss_D: -0.020075 Loss_G: 0.026893 Loss_D_real: -0.023530 Loss_D_fake -0.003455
[1542/5000][395/535][159187] Loss_D: -0.017601 Loss_G: 0.031316 Loss_D_real: -0.027158 Loss_D_fake -0.009556
[1542/5000][400/535][159188] Loss_D: -0.019981 Loss_G: 0.011801 Loss_D_real: -0.018174 Loss_D_fake 0.001807
[1542/5000][405/535][159189] Loss_D: -0.018952 Loss_G: -0.002076 Loss_D_real: -0.011496 Loss_D_fake 0.007456
[1542/5000][410/535][159190] Loss_D: -0.018187 Loss_G: -0.016876 Loss_D_real: -0.007745 Loss_D_fake 0.010443
[1542/5000][415/535][159191] Loss_D: -0.018437 Loss_G: 0.011401 Loss_D_real: -0.009048 Loss_D_fake 0.009390
[1542/5000][420/535][159192] Loss_D: -0.020366 Loss_G: -0.007348 Loss_D_real: -0.008857 Loss_D_fake 0.011509
[1542/5000][425/535][159193] Loss_D: -0.019901 Loss_G: 0.011379 Loss_D_real: -0.009295 Loss_D_fake 0.010607
[1542/5000][430/535][159194] Loss_D: -0.018192 Loss_G: 0.026987 Loss_D_real: -0.033980 Loss_D_fake -0.015788
[1542/5000][435/535][159195] Loss_D: -0.019424 Loss_G: -0.007686 Loss_D_real: -0.002797 Loss_D_fake 0.016627
[1542/5000][440/535][159196] Loss_D: -0.019330 Loss_G: -0.002361 Loss_D_real: -0.024389 Loss_D_fake -0.005059
[1542/5000][445/535][159197] Loss_D: -0.019736 Loss_G: 0.000846 Loss_D_real: -0.017722 Loss_D_fake 0.002014
[1542/5000][450/535][159198] Loss_D: -0.020803 Loss_G: 0.017523 Loss_D_real: -0.022432 Loss_D_fake -0.001629
[1542/5000][455/535][159199] Loss_D: -0.020025 Loss_G: 0.004989 Loss_D_real: -0.006083 Loss_D_fake 0.013943
[1542/5000][460/535][159200] Loss_D: -0.019244 Loss_G: 0.018087 Loss_D_real: -0.016486 Loss_D_fake 0.002758
[1542/5000][465/535][159201] Loss_D: -0.020725 Loss_G: 0.025255 Loss_D_real: -0.021934 Loss_D_fake -0.001209
[1542/5000][470/535][159202] Loss_D: -0.021581 Loss_G: 0.025510 Loss_D_real: -0.022912 Loss_D_fake -0.001331
[1542/5000][475/535][159203] Loss_D: -0.020047 Loss_G: 0.005569 Loss_D_real: -0.012032 Loss_D_fake 0.008015
[1542/5000][480/535][159204] Loss_D: -0.019930 Loss_G: -0.002493 Loss_D_real: -0.008255 Loss_D_fake 0.011675
[1542/5000][485/535][159205] Loss_D: -0.019777 Loss_G: 0.010716 Loss_D_real: -0.027801 Loss_D_fake -0.008024
[1542/5000][490/535][159206] Loss_D: -0.019809 Loss_G: -0.005345 Loss_D_real: -0.023289 Loss_D_fake -0.003480
[1542/5000][495/535][159207] Loss_D: -0.019901 Loss_G: 0.012950 Loss_D_real: -0.026868 Loss_D_fake -0.006967
[1542/5000][500/535][159208] Loss_D: -0.018780 Loss_G: 0.016073 Loss_D_real: -0.009301 Loss_D_fake 0.009479
[1542/5000][505/535][159209] Loss_D: -0.019415 Loss_G: 0.007817 Loss_D_real: -0.004451 Loss_D_fake 0.014964
[1542/5000][510/535][159210] Loss_D: -0.019793 Loss_G: 0.015228 Loss_D_real: -0.025129 Loss_D_fake -0.005335
[1542/5000][515/535][159211] Loss_D: -0.018766 Loss_G: 0.012356 Loss_D_real: -0.020448 Loss_D_fake -0.001681
[1542/5000][520/535][159212] Loss_D: -0.019585 Loss_G: 0.001826 Loss_D_real: -0.018981 Loss_D_fake 0.000604
[1542/5000][525/535][159213] Loss_D: -0.017285 Loss_G: 0.025389 Loss_D_real: -0.031098 Loss_D_fake -0.013813
[1542/5000][530/535][159214] Loss_D: -0.019517 Loss_G: 0.000206 Loss_D_real: -0.011322 Loss_D_fake 0.008196
[1542/5000][535/535][159215] Loss_D: -0.019108 Loss_G: -0.007333 Loss_D_real: 0.005657 Loss_D_fake 0.024765
[1543/5000][5/535][159216] Loss_D: -0.020397 Loss_G: 0.021199 Loss_D_real: -0.013558 Loss_D_fake 0.006839
[1543/5000][10/535][159217] Loss_D: -0.020069 Loss_G: 0.016854 Loss_D_real: -0.019379 Loss_D_fake 0.000690
[1543/5000][15/535][159218] Loss_D: -0.019620 Loss_G: -0.000324 Loss_D_real: -0.007580 Loss_D_fake 0.012040
[1543/5000][20/535][159219] Loss_D: -0.019768 Loss_G: 0.003701 Loss_D_real: -0.015714 Loss_D_fake 0.004054
[1543/5000][25/535][159220] Loss_D: -0.020864 Loss_G: 0.001299 Loss_D_real: -0.012729 Loss_D_fake 0.008135
[1543/5000][30/535][159221] Loss_D: -0.019721 Loss_G: 0.000564 Loss_D_real: -0.019841 Loss_D_fake -0.000121
[1543/5000][35/535][159222] Loss_D: -0.018517 Loss_G: 0.033093 Loss_D_real: -0.020899 Loss_D_fake -0.002382
[1543/5000][40/535][159223] Loss_D: -0.019393 Loss_G: 0.007254 Loss_D_real: -0.023480 Loss_D_fake -0.004087
[1543/5000][45/535][159224] Loss_D: -0.020769 Loss_G: 0.022438 Loss_D_real: -0.014208 Loss_D_fake 0.006561
[1543/5000][50/535][159225] Loss_D: -0.019025 Loss_G: 0.012986 Loss_D_real: -0.029587 Loss_D_fake -0.010562
[1543/5000][55/535][159226] Loss_D: -0.019217 Loss_G: 0.010549 Loss_D_real: -0.010599 Loss_D_fake 0.008618
[1543/5000][60/535][159227] Loss_D: -0.020180 Loss_G: 0.014546 Loss_D_real: -0.017218 Loss_D_fake 0.002961
[1543/5000][65/535][159228] Loss_D: -0.021098 Loss_G: 0.008576 Loss_D_real: -0.024826 Loss_D_fake -0.003727
[1543/5000][70/535][159229] Loss_D: -0.018609 Loss_G: -0.024579 Loss_D_real: 0.000229 Loss_D_fake 0.018839
[1543/5000][75/535][159230] Loss_D: -0.018435 Loss_G: 0.017719 Loss_D_real: -0.029567 Loss_D_fake -0.011133
[1543/5000][80/535][159231] Loss_D: -0.018161 Loss_G: -0.012326 Loss_D_real: -0.006744 Loss_D_fake 0.011418
[1543/5000][85/535][159232] Loss_D: -0.019909 Loss_G: 0.005005 Loss_D_real: -0.011464 Loss_D_fake 0.008446
[1543/5000][90/535][159233] Loss_D: -0.021103 Loss_G: 0.008939 Loss_D_real: -0.019602 Loss_D_fake 0.001500
[1543/5000][95/535][159234] Loss_D: -0.020026 Loss_G: 0.016425 Loss_D_real: -0.014916 Loss_D_fake 0.005110
[1543/5000][100/535][159235] Loss_D: -0.019231 Loss_G: 0.011013 Loss_D_real: -0.013561 Loss_D_fake 0.005669
[1543/5000][105/535][159236] Loss_D: -0.018902 Loss_G: 0.025779 Loss_D_real: -0.023463 Loss_D_fake -0.004562
[1543/5000][110/535][159237] Loss_D: -0.019426 Loss_G: 0.009472 Loss_D_real: -0.011135 Loss_D_fake 0.008291
[1543/5000][115/535][159238] Loss_D: -0.019848 Loss_G: -0.010620 Loss_D_real: -0.017936 Loss_D_fake 0.001911
[1543/5000][120/535][159239] Loss_D: -0.020493 Loss_G: 0.004562 Loss_D_real: -0.009105 Loss_D_fake 0.011388
[1543/5000][125/535][159240] Loss_D: -0.019976 Loss_G: 0.012195 Loss_D_real: -0.014678 Loss_D_fake 0.005298
[1543/5000][130/535][159241] Loss_D: -0.019593 Loss_G: -0.007947 Loss_D_real: -0.009063 Loss_D_fake 0.010530
[1543/5000][135/535][159242] Loss_D: -0.018696 Loss_G: 0.007625 Loss_D_real: -0.024765 Loss_D_fake -0.006069
[1543/5000][140/535][159243] Loss_D: -0.019149 Loss_G: 0.002396 Loss_D_real: -0.021002 Loss_D_fake -0.001854
[1543/5000][145/535][159244] Loss_D: -0.019512 Loss_G: -0.000657 Loss_D_real: -0.015289 Loss_D_fake 0.004223
[1543/5000][150/535][159245] Loss_D: -0.018715 Loss_G: 0.004518 Loss_D_real: -0.019147 Loss_D_fake -0.000433
[1543/5000][155/535][159246] Loss_D: -0.019661 Loss_G: -0.010944 Loss_D_real: 0.004248 Loss_D_fake 0.023910
[1543/5000][160/535][159247] Loss_D: -0.020606 Loss_G: -0.010687 Loss_D_real: -0.017370 Loss_D_fake 0.003236
[1543/5000][165/535][159248] Loss_D: -0.020362 Loss_G: 0.013464 Loss_D_real: -0.021711 Loss_D_fake -0.001349
[1543/5000][170/535][159249] Loss_D: -0.020297 Loss_G: 0.022724 Loss_D_real: -0.016912 Loss_D_fake 0.003384
[1543/5000][175/535][159250] Loss_D: -0.019858 Loss_G: -0.012851 Loss_D_real: -0.008514 Loss_D_fake 0.011345
[1543/5000][180/535][159251] Loss_D: -0.021067 Loss_G: 0.009988 Loss_D_real: -0.000384 Loss_D_fake 0.020682
[1543/5000][185/535][159252] Loss_D: -0.020014 Loss_G: 0.016017 Loss_D_real: -0.016462 Loss_D_fake 0.003551
[1543/5000][190/535][159253] Loss_D: -0.019954 Loss_G: -0.005075 Loss_D_real: -0.001439 Loss_D_fake 0.018515
[1543/5000][195/535][159254] Loss_D: -0.020183 Loss_G: -0.009384 Loss_D_real: -0.006177 Loss_D_fake 0.014007
[1543/5000][200/535][159255] Loss_D: -0.020113 Loss_G: 0.005278 Loss_D_real: -0.022764 Loss_D_fake -0.002651
[1543/5000][205/535][159256] Loss_D: -0.019399 Loss_G: -0.000867 Loss_D_real: -0.018231 Loss_D_fake 0.001168
[1543/5000][210/535][159257] Loss_D: -0.019414 Loss_G: 0.003566 Loss_D_real: -0.009377 Loss_D_fake 0.010037
[1543/5000][215/535][159258] Loss_D: -0.020320 Loss_G: 0.028471 Loss_D_real: -0.026206 Loss_D_fake -0.005886
[1543/5000][220/535][159259] Loss_D: -0.019789 Loss_G: 0.017150 Loss_D_real: -0.021510 Loss_D_fake -0.001720
[1543/5000][225/535][159260] Loss_D: -0.019108 Loss_G: 0.016389 Loss_D_real: -0.027906 Loss_D_fake -0.008797
[1543/5000][230/535][159261] Loss_D: -0.020194 Loss_G: 0.003510 Loss_D_real: -0.002634 Loss_D_fake 0.017560
[1543/5000][235/535][159262] Loss_D: -0.020190 Loss_G: -0.003068 Loss_D_real: -0.014882 Loss_D_fake 0.005308
[1543/5000][240/535][159263] Loss_D: -0.018876 Loss_G: 0.006025 Loss_D_real: -0.011188 Loss_D_fake 0.007688
[1543/5000][245/535][159264] Loss_D: -0.017132 Loss_G: 0.036187 Loss_D_real: -0.031599 Loss_D_fake -0.014467
[1543/5000][250/535][159265] Loss_D: -0.019395 Loss_G: 0.006388 Loss_D_real: -0.013270 Loss_D_fake 0.006125
[1543/5000][255/535][159266] Loss_D: -0.019012 Loss_G: 0.014559 Loss_D_real: -0.025646 Loss_D_fake -0.006634
[1543/5000][260/535][159267] Loss_D: -0.019853 Loss_G: 0.012732 Loss_D_real: -0.019234 Loss_D_fake 0.000619
[1543/5000][265/535][159268] Loss_D: -0.019738 Loss_G: -0.003029 Loss_D_real: 0.005289 Loss_D_fake 0.025027
[1543/5000][270/535][159269] Loss_D: -0.019786 Loss_G: 0.013703 Loss_D_real: -0.015979 Loss_D_fake 0.003807
[1543/5000][275/535][159270] Loss_D: -0.018729 Loss_G: 0.011066 Loss_D_real: -0.022293 Loss_D_fake -0.003563
[1543/5000][280/535][159271] Loss_D: -0.019720 Loss_G: 0.011020 Loss_D_real: -0.019497 Loss_D_fake 0.000223
[1543/5000][285/535][159272] Loss_D: -0.020153 Loss_G: -0.008219 Loss_D_real: -0.004915 Loss_D_fake 0.015238
[1543/5000][290/535][159273] Loss_D: -0.019737 Loss_G: 0.009106 Loss_D_real: -0.009545 Loss_D_fake 0.010193
[1543/5000][295/535][159274] Loss_D: -0.019847 Loss_G: 0.013357 Loss_D_real: -0.014607 Loss_D_fake 0.005241
[1543/5000][300/535][159275] Loss_D: -0.020933 Loss_G: 0.019870 Loss_D_real: -0.028623 Loss_D_fake -0.007690
[1543/5000][305/535][159276] Loss_D: -0.020953 Loss_G: -0.004800 Loss_D_real: -0.008119 Loss_D_fake 0.012834
[1543/5000][310/535][159277] Loss_D: -0.019756 Loss_G: 0.005414 Loss_D_real: -0.005587 Loss_D_fake 0.014169
[1543/5000][315/535][159278] Loss_D: -0.020377 Loss_G: 0.004913 Loss_D_real: -0.011478 Loss_D_fake 0.008899
[1543/5000][320/535][159279] Loss_D: -0.020144 Loss_G: 0.009599 Loss_D_real: -0.014324 Loss_D_fake 0.005820
[1543/5000][325/535][159280] Loss_D: -0.017940 Loss_G: 0.000618 Loss_D_real: -0.011218 Loss_D_fake 0.006722
[1543/5000][330/535][159281] Loss_D: -0.019971 Loss_G: -0.002700 Loss_D_real: -0.013481 Loss_D_fake 0.006490
[1543/5000][335/535][159282] Loss_D: -0.017596 Loss_G: 0.017154 Loss_D_real: -0.030349 Loss_D_fake -0.012753
[1543/5000][340/535][159283] Loss_D: -0.019060 Loss_G: 0.013729 Loss_D_real: -0.015469 Loss_D_fake 0.003591
[1543/5000][345/535][159284] Loss_D: -0.017927 Loss_G: 0.025579 Loss_D_real: -0.032350 Loss_D_fake -0.014423
[1543/5000][350/535][159285] Loss_D: -0.018484 Loss_G: 0.026300 Loss_D_real: -0.025695 Loss_D_fake -0.007211
[1543/5000][355/535][159286] Loss_D: -0.019689 Loss_G: -0.001666 Loss_D_real: -0.019886 Loss_D_fake -0.000197
[1543/5000][360/535][159287] Loss_D: -0.018978 Loss_G: 0.000447 Loss_D_real: -0.013324 Loss_D_fake 0.005655
[1543/5000][365/535][159288] Loss_D: -0.019603 Loss_G: 0.001534 Loss_D_real: -0.016867 Loss_D_fake 0.002736
[1543/5000][370/535][159289] Loss_D: -0.018537 Loss_G: -0.000616 Loss_D_real: -0.009894 Loss_D_fake 0.008643
[1543/5000][375/535][159290] Loss_D: -0.019292 Loss_G: 0.024467 Loss_D_real: -0.022756 Loss_D_fake -0.003464
[1543/5000][380/535][159291] Loss_D: -0.019245 Loss_G: -0.003898 Loss_D_real: -0.015887 Loss_D_fake 0.003358
[1543/5000][385/535][159292] Loss_D: -0.019410 Loss_G: 0.005905 Loss_D_real: -0.023924 Loss_D_fake -0.004515
[1543/5000][390/535][159293] Loss_D: -0.019102 Loss_G: 0.002612 Loss_D_real: -0.014187 Loss_D_fake 0.004915
[1543/5000][395/535][159294] Loss_D: -0.018842 Loss_G: 0.021977 Loss_D_real: -0.029466 Loss_D_fake -0.010624
[1543/5000][400/535][159295] Loss_D: -0.019158 Loss_G: -0.003150 Loss_D_real: -0.010418 Loss_D_fake 0.008740
[1543/5000][405/535][159296] Loss_D: -0.020192 Loss_G: 0.020708 Loss_D_real: -0.015964 Loss_D_fake 0.004228
[1543/5000][410/535][159297] Loss_D: -0.020371 Loss_G: 0.003915 Loss_D_real: -0.013942 Loss_D_fake 0.006429
[1543/5000][415/535][159298] Loss_D: -0.020023 Loss_G: 0.006293 Loss_D_real: -0.016656 Loss_D_fake 0.003368
[1543/5000][420/535][159299] Loss_D: -0.019170 Loss_G: -0.004267 Loss_D_real: -0.000506 Loss_D_fake 0.018664
[1543/5000][425/535][159300] Loss_D: -0.019455 Loss_G: 0.000716 Loss_D_real: -0.024170 Loss_D_fake -0.004715
[1543/5000][430/535][159301] Loss_D: -0.019224 Loss_G: 0.004702 Loss_D_real: -0.015081 Loss_D_fake 0.004143
[1543/5000][435/535][159302] Loss_D: -0.019365 Loss_G: 0.020431 Loss_D_real: -0.026868 Loss_D_fake -0.007504
[1543/5000][440/535][159303] Loss_D: -0.018486 Loss_G: 0.002918 Loss_D_real: -0.014392 Loss_D_fake 0.004094
[1543/5000][445/535][159304] Loss_D: -0.020472 Loss_G: 0.004541 Loss_D_real: -0.008309 Loss_D_fake 0.012164
[1543/5000][450/535][159305] Loss_D: -0.019218 Loss_G: 0.001570 Loss_D_real: -0.016045 Loss_D_fake 0.003173
[1543/5000][455/535][159306] Loss_D: -0.020149 Loss_G: 0.016215 Loss_D_real: -0.021733 Loss_D_fake -0.001583
[1543/5000][460/535][159307] Loss_D: -0.020068 Loss_G: 0.009832 Loss_D_real: -0.027560 Loss_D_fake -0.007492
[1543/5000][465/535][159308] Loss_D: -0.019591 Loss_G: -0.009502 Loss_D_real: -0.009968 Loss_D_fake 0.009623
[1543/5000][470/535][159309] Loss_D: -0.019098 Loss_G: 0.012879 Loss_D_real: -0.017099 Loss_D_fake 0.001999
[1543/5000][475/535][159310] Loss_D: -0.019467 Loss_G: 0.014122 Loss_D_real: -0.029399 Loss_D_fake -0.009932
[1543/5000][480/535][159311] Loss_D: -0.019445 Loss_G: 0.022428 Loss_D_real: -0.023917 Loss_D_fake -0.004472
[1543/5000][485/535][159312] Loss_D: -0.018659 Loss_G: 0.019500 Loss_D_real: -0.013907 Loss_D_fake 0.004752
[1543/5000][490/535][159313] Loss_D: -0.018541 Loss_G: 0.006759 Loss_D_real: -0.015809 Loss_D_fake 0.002732
[1543/5000][495/535][159314] Loss_D: -0.019914 Loss_G: 0.029446 Loss_D_real: -0.025240 Loss_D_fake -0.005326
[1543/5000][500/535][159315] Loss_D: -0.020591 Loss_G: -0.001170 Loss_D_real: -0.010633 Loss_D_fake 0.009958
[1543/5000][505/535][159316] Loss_D: -0.020775 Loss_G: 0.004800 Loss_D_real: -0.023034 Loss_D_fake -0.002259
[1543/5000][510/535][159317] Loss_D: -0.018829 Loss_G: 0.009182 Loss_D_real: -0.015877 Loss_D_fake 0.002952
[1543/5000][515/535][159318] Loss_D: -0.020127 Loss_G: 0.018933 Loss_D_real: -0.016063 Loss_D_fake 0.004064
[1543/5000][520/535][159319] Loss_D: -0.019895 Loss_G: 0.016629 Loss_D_real: -0.029461 Loss_D_fake -0.009565
[1543/5000][525/535][159320] Loss_D: -0.021272 Loss_G: 0.009969 Loss_D_real: -0.021368 Loss_D_fake -0.000096
[1543/5000][530/535][159321] Loss_D: -0.021623 Loss_G: 0.009929 Loss_D_real: -0.027204 Loss_D_fake -0.005581
[1543/5000][535/535][159322] Loss_D: -0.017722 Loss_G: -0.002231 Loss_D_real: -0.005639 Loss_D_fake 0.012083
[1544/5000][5/535][159323] Loss_D: -0.020204 Loss_G: 0.015565 Loss_D_real: -0.025372 Loss_D_fake -0.005169
[1544/5000][10/535][159324] Loss_D: -0.018932 Loss_G: 0.001794 Loss_D_real: -0.012502 Loss_D_fake 0.006430
[1544/5000][15/535][159325] Loss_D: -0.019572 Loss_G: 0.007484 Loss_D_real: -0.014489 Loss_D_fake 0.005084
[1544/5000][20/535][159326] Loss_D: -0.017793 Loss_G: 0.013959 Loss_D_real: -0.021410 Loss_D_fake -0.003616
[1544/5000][25/535][159327] Loss_D: -0.019993 Loss_G: 0.017617 Loss_D_real: -0.021544 Loss_D_fake -0.001551
[1544/5000][30/535][159328] Loss_D: -0.020677 Loss_G: -0.004679 Loss_D_real: -0.008568 Loss_D_fake 0.012108
[1544/5000][35/535][159329] Loss_D: -0.019744 Loss_G: 0.021850 Loss_D_real: -0.022310 Loss_D_fake -0.002566
[1544/5000][40/535][159330] Loss_D: -0.018677 Loss_G: -0.007752 Loss_D_real: -0.017576 Loss_D_fake 0.001101
[1544/5000][45/535][159331] Loss_D: -0.018851 Loss_G: 0.033732 Loss_D_real: -0.027030 Loss_D_fake -0.008179
[1544/5000][50/535][159332] Loss_D: -0.019865 Loss_G: -0.005016 Loss_D_real: -0.013582 Loss_D_fake 0.006284
[1544/5000][55/535][159333] Loss_D: -0.019122 Loss_G: 0.014220 Loss_D_real: -0.017748 Loss_D_fake 0.001375
[1544/5000][60/535][159334] Loss_D: -0.019546 Loss_G: 0.018923 Loss_D_real: -0.016080 Loss_D_fake 0.003466
[1544/5000][65/535][159335] Loss_D: -0.019886 Loss_G: 0.010437 Loss_D_real: -0.014040 Loss_D_fake 0.005846
[1544/5000][70/535][159336] Loss_D: -0.020512 Loss_G: -0.002320 Loss_D_real: -0.009214 Loss_D_fake 0.011298
[1544/5000][75/535][159337] Loss_D: -0.019151 Loss_G: 0.005275 Loss_D_real: -0.026296 Loss_D_fake -0.007145
[1544/5000][80/535][159338] Loss_D: -0.020260 Loss_G: -0.002162 Loss_D_real: -0.006887 Loss_D_fake 0.013373
[1544/5000][85/535][159339] Loss_D: -0.019344 Loss_G: 0.023055 Loss_D_real: -0.030132 Loss_D_fake -0.010788
[1544/5000][90/535][159340] Loss_D: -0.020219 Loss_G: 0.001715 Loss_D_real: 0.001726 Loss_D_fake 0.021946
[1544/5000][95/535][159341] Loss_D: -0.019347 Loss_G: 0.027094 Loss_D_real: -0.021707 Loss_D_fake -0.002360
[1544/5000][100/535][159342] Loss_D: -0.019327 Loss_G: 0.000743 Loss_D_real: -0.006640 Loss_D_fake 0.012687
[1544/5000][105/535][159343] Loss_D: -0.018858 Loss_G: 0.007192 Loss_D_real: -0.017582 Loss_D_fake 0.001276
[1544/5000][110/535][159344] Loss_D: -0.020154 Loss_G: -0.006014 Loss_D_real: -0.010826 Loss_D_fake 0.009328
[1544/5000][115/535][159345] Loss_D: -0.019603 Loss_G: 0.014108 Loss_D_real: -0.018576 Loss_D_fake 0.001027
[1544/5000][120/535][159346] Loss_D: -0.018231 Loss_G: -0.008428 Loss_D_real: -0.007857 Loss_D_fake 0.010374
[1544/5000][125/535][159347] Loss_D: -0.019150 Loss_G: 0.008023 Loss_D_real: -0.009475 Loss_D_fake 0.009675
[1544/5000][130/535][159348] Loss_D: -0.020850 Loss_G: 0.010022 Loss_D_real: -0.008406 Loss_D_fake 0.012444
[1544/5000][135/535][159349] Loss_D: -0.019770 Loss_G: -0.016319 Loss_D_real: 0.000470 Loss_D_fake 0.020240
[1544/5000][140/535][159350] Loss_D: -0.017782 Loss_G: 0.019702 Loss_D_real: -0.024129 Loss_D_fake -0.006347
[1544/5000][145/535][159351] Loss_D: -0.017370 Loss_G: 0.031103 Loss_D_real: -0.022139 Loss_D_fake -0.004770
[1544/5000][150/535][159352] Loss_D: -0.018204 Loss_G: -0.000050 Loss_D_real: 0.000565 Loss_D_fake 0.018769
[1544/5000][155/535][159353] Loss_D: -0.017854 Loss_G: -0.002856 Loss_D_real: -0.008590 Loss_D_fake 0.009264
[1544/5000][160/535][159354] Loss_D: -0.019627 Loss_G: -0.002523 Loss_D_real: -0.013542 Loss_D_fake 0.006085
[1544/5000][165/535][159355] Loss_D: -0.018625 Loss_G: 0.015158 Loss_D_real: -0.013762 Loss_D_fake 0.004863
[1544/5000][170/535][159356] Loss_D: -0.019059 Loss_G: 0.006387 Loss_D_real: -0.004445 Loss_D_fake 0.014614
[1544/5000][175/535][159357] Loss_D: -0.018347 Loss_G: 0.020422 Loss_D_real: -0.028510 Loss_D_fake -0.010163
[1544/5000][180/535][159358] Loss_D: -0.020352 Loss_G: 0.010032 Loss_D_real: -0.009656 Loss_D_fake 0.010695
[1544/5000][185/535][159359] Loss_D: -0.019402 Loss_G: 0.013396 Loss_D_real: -0.022075 Loss_D_fake -0.002673
[1544/5000][190/535][159360] Loss_D: -0.019785 Loss_G: 0.000194 Loss_D_real: -0.002684 Loss_D_fake 0.017101
[1544/5000][195/535][159361] Loss_D: -0.019776 Loss_G: 0.007940 Loss_D_real: -0.013619 Loss_D_fake 0.006157
[1544/5000][200/535][159362] Loss_D: -0.019152 Loss_G: -0.000384 Loss_D_real: -0.022350 Loss_D_fake -0.003198
[1544/5000][205/535][159363] Loss_D: -0.019408 Loss_G: 0.011422 Loss_D_real: -0.020756 Loss_D_fake -0.001347
[1544/5000][210/535][159364] Loss_D: -0.019195 Loss_G: -0.003066 Loss_D_real: -0.006986 Loss_D_fake 0.012209
[1544/5000][215/535][159365] Loss_D: -0.018314 Loss_G: -0.014099 Loss_D_real: -0.008377 Loss_D_fake 0.009937
[1544/5000][220/535][159366] Loss_D: -0.019747 Loss_G: -0.002555 Loss_D_real: -0.009739 Loss_D_fake 0.010008
[1544/5000][225/535][159367] Loss_D: -0.018784 Loss_G: 0.001040 Loss_D_real: -0.008957 Loss_D_fake 0.009827
[1544/5000][230/535][159368] Loss_D: -0.019314 Loss_G: 0.009294 Loss_D_real: -0.004549 Loss_D_fake 0.014764
[1544/5000][235/535][159369] Loss_D: -0.018204 Loss_G: 0.006999 Loss_D_real: -0.018094 Loss_D_fake 0.000111
[1544/5000][240/535][159370] Loss_D: -0.018529 Loss_G: -0.017368 Loss_D_real: 0.006327 Loss_D_fake 0.024856
[1544/5000][245/535][159371] Loss_D: -0.019564 Loss_G: 0.013640 Loss_D_real: -0.014995 Loss_D_fake 0.004569
[1544/5000][250/535][159372] Loss_D: -0.019470 Loss_G: 0.016366 Loss_D_real: -0.017475 Loss_D_fake 0.001995
[1544/5000][255/535][159373] Loss_D: -0.018076 Loss_G: 0.017568 Loss_D_real: -0.019937 Loss_D_fake -0.001861
[1544/5000][260/535][159374] Loss_D: -0.017995 Loss_G: 0.011606 Loss_D_real: -0.025085 Loss_D_fake -0.007090
[1544/5000][265/535][159375] Loss_D: -0.016964 Loss_G: 0.027029 Loss_D_real: -0.033263 Loss_D_fake -0.016299
[1544/5000][270/535][159376] Loss_D: -0.019521 Loss_G: 0.023722 Loss_D_real: -0.027965 Loss_D_fake -0.008444
[1544/5000][275/535][159377] Loss_D: -0.019464 Loss_G: 0.010689 Loss_D_real: -0.010284 Loss_D_fake 0.009179
[1544/5000][280/535][159378] Loss_D: -0.020312 Loss_G: -0.002127 Loss_D_real: -0.006219 Loss_D_fake 0.014093
[1544/5000][285/535][159379] Loss_D: -0.019230 Loss_G: 0.016393 Loss_D_real: -0.028541 Loss_D_fake -0.009312
[1544/5000][290/535][159380] Loss_D: -0.020372 Loss_G: 0.000930 Loss_D_real: -0.010185 Loss_D_fake 0.010187
[1544/5000][295/535][159381] Loss_D: -0.021196 Loss_G: 0.005692 Loss_D_real: -0.024727 Loss_D_fake -0.003531
[1544/5000][300/535][159382] Loss_D: -0.019479 Loss_G: -0.016921 Loss_D_real: -0.002563 Loss_D_fake 0.016916
[1544/5000][305/535][159383] Loss_D: -0.021154 Loss_G: 0.006667 Loss_D_real: -0.014635 Loss_D_fake 0.006519
[1544/5000][310/535][159384] Loss_D: -0.020344 Loss_G: 0.002939 Loss_D_real: -0.001766 Loss_D_fake 0.018578
[1544/5000][315/535][159385] Loss_D: -0.019277 Loss_G: 0.000086 Loss_D_real: 0.006650 Loss_D_fake 0.025927
[1544/5000][320/535][159386] Loss_D: -0.020588 Loss_G: 0.006800 Loss_D_real: -0.021063 Loss_D_fake -0.000475
[1544/5000][325/535][159387] Loss_D: -0.019820 Loss_G: 0.027903 Loss_D_real: -0.025311 Loss_D_fake -0.005491
[1544/5000][330/535][159388] Loss_D: -0.018693 Loss_G: -0.009200 Loss_D_real: -0.006147 Loss_D_fake 0.012546
[1544/5000][335/535][159389] Loss_D: -0.019722 Loss_G: -0.007679 Loss_D_real: -0.008128 Loss_D_fake 0.011594
[1544/5000][340/535][159390] Loss_D: -0.019167 Loss_G: 0.011966 Loss_D_real: -0.016695 Loss_D_fake 0.002472
[1544/5000][345/535][159391] Loss_D: -0.018864 Loss_G: -0.005040 Loss_D_real: 0.008660 Loss_D_fake 0.027523
[1544/5000][350/535][159392] Loss_D: -0.019185 Loss_G: 0.021003 Loss_D_real: -0.027066 Loss_D_fake -0.007881
[1544/5000][355/535][159393] Loss_D: -0.019265 Loss_G: -0.002910 Loss_D_real: -0.018566 Loss_D_fake 0.000699
[1544/5000][360/535][159394] Loss_D: -0.020347 Loss_G: 0.012901 Loss_D_real: -0.014128 Loss_D_fake 0.006219
[1544/5000][365/535][159395] Loss_D: -0.017803 Loss_G: -0.006890 Loss_D_real: -0.021431 Loss_D_fake -0.003628
[1544/5000][370/535][159396] Loss_D: -0.018472 Loss_G: 0.021575 Loss_D_real: -0.028180 Loss_D_fake -0.009708
[1544/5000][375/535][159397] Loss_D: -0.019849 Loss_G: -0.006150 Loss_D_real: -0.003391 Loss_D_fake 0.016457
[1544/5000][380/535][159398] Loss_D: -0.019793 Loss_G: 0.028158 Loss_D_real: -0.025786 Loss_D_fake -0.005992
[1544/5000][385/535][159399] Loss_D: -0.021617 Loss_G: -0.006216 Loss_D_real: -0.010758 Loss_D_fake 0.010859
[1544/5000][390/535][159400] Loss_D: -0.018641 Loss_G: -0.003097 Loss_D_real: -0.012574 Loss_D_fake 0.006066
[1544/5000][395/535][159401] Loss_D: -0.019167 Loss_G: 0.009296 Loss_D_real: -0.028168 Loss_D_fake -0.009001
[1544/5000][400/535][159402] Loss_D: -0.020340 Loss_G: 0.003667 Loss_D_real: -0.018739 Loss_D_fake 0.001600
[1544/5000][405/535][159403] Loss_D: -0.018854 Loss_G: 0.018273 Loss_D_real: -0.014828 Loss_D_fake 0.004026
[1544/5000][410/535][159404] Loss_D: -0.020134 Loss_G: 0.008605 Loss_D_real: -0.013449 Loss_D_fake 0.006685
[1544/5000][415/535][159405] Loss_D: -0.018135 Loss_G: 0.021097 Loss_D_real: -0.029883 Loss_D_fake -0.011747
[1544/5000][420/535][159406] Loss_D: -0.019464 Loss_G: 0.006687 Loss_D_real: -0.026530 Loss_D_fake -0.007066
[1544/5000][425/535][159407] Loss_D: -0.018891 Loss_G: 0.005047 Loss_D_real: -0.018586 Loss_D_fake 0.000305
[1544/5000][430/535][159408] Loss_D: -0.019404 Loss_G: 0.010580 Loss_D_real: -0.017813 Loss_D_fake 0.001591
[1544/5000][435/535][159409] Loss_D: -0.019855 Loss_G: 0.008816 Loss_D_real: -0.016031 Loss_D_fake 0.003825
[1544/5000][440/535][159410] Loss_D: -0.018762 Loss_G: -0.013667 Loss_D_real: 0.005750 Loss_D_fake 0.024512
[1544/5000][445/535][159411] Loss_D: -0.019336 Loss_G: 0.011987 Loss_D_real: -0.013531 Loss_D_fake 0.005805
[1544/5000][450/535][159412] Loss_D: -0.020826 Loss_G: -0.010621 Loss_D_real: -0.011538 Loss_D_fake 0.009287
[1544/5000][455/535][159413] Loss_D: -0.019112 Loss_G: 0.005658 Loss_D_real: -0.012736 Loss_D_fake 0.006376
[1544/5000][460/535][159414] Loss_D: -0.019794 Loss_G: 0.002416 Loss_D_real: 0.000070 Loss_D_fake 0.019864
[1544/5000][465/535][159415] Loss_D: -0.019095 Loss_G: -0.006468 Loss_D_real: -0.013021 Loss_D_fake 0.006074
[1544/5000][470/535][159416] Loss_D: -0.019930 Loss_G: 0.000880 Loss_D_real: -0.007186 Loss_D_fake 0.012744
[1544/5000][475/535][159417] Loss_D: -0.019445 Loss_G: 0.016195 Loss_D_real: -0.019608 Loss_D_fake -0.000164
[1544/5000][480/535][159418] Loss_D: -0.020917 Loss_G: 0.004538 Loss_D_real: -0.014428 Loss_D_fake 0.006489
[1544/5000][485/535][159419] Loss_D: -0.020060 Loss_G: 0.002837 Loss_D_real: -0.015980 Loss_D_fake 0.004079
[1544/5000][490/535][159420] Loss_D: -0.020023 Loss_G: 0.008011 Loss_D_real: -0.015638 Loss_D_fake 0.004385
[1544/5000][495/535][159421] Loss_D: -0.020995 Loss_G: -0.006234 Loss_D_real: -0.016380 Loss_D_fake 0.004614
[1544/5000][500/535][159422] Loss_D: -0.019650 Loss_G: 0.019624 Loss_D_real: -0.017648 Loss_D_fake 0.002002
[1544/5000][505/535][159423] Loss_D: -0.019682 Loss_G: 0.008653 Loss_D_real: -0.009676 Loss_D_fake 0.010006
[1544/5000][510/535][159424] Loss_D: -0.018347 Loss_G: 0.021109 Loss_D_real: -0.023155 Loss_D_fake -0.004809
[1544/5000][515/535][159425] Loss_D: -0.019741 Loss_G: -0.005429 Loss_D_real: -0.020701 Loss_D_fake -0.000960
[1544/5000][520/535][159426] Loss_D: -0.019783 Loss_G: -0.007888 Loss_D_real: -0.008060 Loss_D_fake 0.011723
[1544/5000][525/535][159427] Loss_D: -0.019394 Loss_G: 0.020099 Loss_D_real: -0.015772 Loss_D_fake 0.003622
[1544/5000][530/535][159428] Loss_D: -0.019624 Loss_G: 0.000538 Loss_D_real: -0.004650 Loss_D_fake 0.014974
[1544/5000][535/535][159429] Loss_D: -0.020723 Loss_G: 0.008866 Loss_D_real: -0.029702 Loss_D_fake -0.008979
[1545/5000][5/535][159430] Loss_D: -0.020199 Loss_G: 0.012837 Loss_D_real: -0.008886 Loss_D_fake 0.011313
[1545/5000][10/535][159431] Loss_D: -0.019796 Loss_G: 0.021042 Loss_D_real: -0.013805 Loss_D_fake 0.005992
[1545/5000][15/535][159432] Loss_D: -0.020627 Loss_G: 0.006128 Loss_D_real: -0.021455 Loss_D_fake -0.000827
[1545/5000][20/535][159433] Loss_D: -0.018320 Loss_G: 0.003555 Loss_D_real: -0.004248 Loss_D_fake 0.014072
[1545/5000][25/535][159434] Loss_D: -0.021241 Loss_G: 0.019296 Loss_D_real: -0.016263 Loss_D_fake 0.004978
[1545/5000][30/535][159435] Loss_D: -0.020333 Loss_G: 0.001688 Loss_D_real: -0.017359 Loss_D_fake 0.002974
[1545/5000][35/535][159436] Loss_D: -0.018751 Loss_G: -0.004334 Loss_D_real: -0.020603 Loss_D_fake -0.001852
[1545/5000][40/535][159437] Loss_D: -0.019940 Loss_G: 0.012842 Loss_D_real: -0.009996 Loss_D_fake 0.009944
[1545/5000][45/535][159438] Loss_D: -0.019948 Loss_G: 0.008386 Loss_D_real: -0.020653 Loss_D_fake -0.000704
[1545/5000][50/535][159439] Loss_D: -0.018908 Loss_G: -0.000330 Loss_D_real: 0.005669 Loss_D_fake 0.024576
[1545/5000][55/535][159440] Loss_D: -0.019037 Loss_G: 0.020411 Loss_D_real: -0.022075 Loss_D_fake -0.003038
[1545/5000][60/535][159441] Loss_D: -0.019137 Loss_G: 0.001768 Loss_D_real: -0.008395 Loss_D_fake 0.010742
[1545/5000][65/535][159442] Loss_D: -0.019443 Loss_G: 0.021140 Loss_D_real: -0.025732 Loss_D_fake -0.006289
[1545/5000][70/535][159443] Loss_D: -0.019223 Loss_G: 0.008177 Loss_D_real: -0.013290 Loss_D_fake 0.005933
[1545/5000][75/535][159444] Loss_D: -0.019325 Loss_G: 0.012505 Loss_D_real: -0.029041 Loss_D_fake -0.009716
[1545/5000][80/535][159445] Loss_D: -0.019647 Loss_G: -0.010907 Loss_D_real: -0.002292 Loss_D_fake 0.017355
[1545/5000][85/535][159446] Loss_D: -0.018748 Loss_G: 0.000252 Loss_D_real: -0.012151 Loss_D_fake 0.006598
[1545/5000][90/535][159447] Loss_D: -0.019611 Loss_G: 0.011932 Loss_D_real: -0.018068 Loss_D_fake 0.001543
[1545/5000][95/535][159448] Loss_D: -0.021475 Loss_G: 0.007807 Loss_D_real: -0.016853 Loss_D_fake 0.004622
[1545/5000][100/535][159449] Loss_D: -0.019923 Loss_G: 0.007593 Loss_D_real: -0.016043 Loss_D_fake 0.003880
[1545/5000][105/535][159450] Loss_D: -0.020080 Loss_G: 0.009904 Loss_D_real: -0.010643 Loss_D_fake 0.009436
[1545/5000][110/535][159451] Loss_D: -0.019943 Loss_G: 0.014328 Loss_D_real: -0.018227 Loss_D_fake 0.001716
[1545/5000][115/535][159452] Loss_D: -0.020208 Loss_G: 0.009367 Loss_D_real: -0.025475 Loss_D_fake -0.005268
[1545/5000][120/535][159453] Loss_D: -0.018702 Loss_G: 0.032892 Loss_D_real: -0.030094 Loss_D_fake -0.011392
[1545/5000][125/535][159454] Loss_D: -0.018805 Loss_G: 0.013440 Loss_D_real: -0.028011 Loss_D_fake -0.009206
[1545/5000][130/535][159455] Loss_D: -0.019478 Loss_G: -0.008424 Loss_D_real: -0.015924 Loss_D_fake 0.003553
[1545/5000][135/535][159456] Loss_D: -0.019454 Loss_G: 0.011985 Loss_D_real: -0.009140 Loss_D_fake 0.010313
[1545/5000][140/535][159457] Loss_D: -0.018842 Loss_G: 0.009957 Loss_D_real: -0.020741 Loss_D_fake -0.001899
[1545/5000][145/535][159458] Loss_D: -0.019031 Loss_G: -0.011337 Loss_D_real: -0.003074 Loss_D_fake 0.015957
[1545/5000][150/535][159459] Loss_D: -0.019584 Loss_G: 0.013809 Loss_D_real: -0.005981 Loss_D_fake 0.013603
[1545/5000][155/535][159460] Loss_D: -0.019196 Loss_G: 0.002407 Loss_D_real: -0.005617 Loss_D_fake 0.013579
[1545/5000][160/535][159461] Loss_D: -0.019033 Loss_G: 0.009770 Loss_D_real: -0.022013 Loss_D_fake -0.002980
[1545/5000][165/535][159462] Loss_D: -0.019552 Loss_G: 0.005419 Loss_D_real: -0.011675 Loss_D_fake 0.007877
[1545/5000][170/535][159463] Loss_D: -0.019689 Loss_G: 0.012119 Loss_D_real: -0.022145 Loss_D_fake -0.002456
[1545/5000][175/535][159464] Loss_D: -0.019026 Loss_G: 0.007297 Loss_D_real: -0.010198 Loss_D_fake 0.008828
[1545/5000][180/535][159465] Loss_D: -0.019758 Loss_G: 0.010154 Loss_D_real: -0.023334 Loss_D_fake -0.003576
[1545/5000][185/535][159466] Loss_D: -0.020437 Loss_G: 0.013759 Loss_D_real: -0.017288 Loss_D_fake 0.003149
[1545/5000][190/535][159467] Loss_D: -0.018539 Loss_G: 0.005250 Loss_D_real: -0.012483 Loss_D_fake 0.006055
[1545/5000][195/535][159468] Loss_D: -0.017268 Loss_G: -0.015718 Loss_D_real: 0.011713 Loss_D_fake 0.028981
[1545/5000][200/535][159469] Loss_D: -0.018362 Loss_G: 0.022976 Loss_D_real: -0.025519 Loss_D_fake -0.007157
[1545/5000][205/535][159470] Loss_D: -0.020337 Loss_G: 0.010157 Loss_D_real: -0.010874 Loss_D_fake 0.009463
[1545/5000][210/535][159471] Loss_D: -0.016852 Loss_G: 0.030715 Loss_D_real: -0.021298 Loss_D_fake -0.004445
[1545/5000][215/535][159472] Loss_D: -0.019078 Loss_G: 0.010592 Loss_D_real: -0.021740 Loss_D_fake -0.002662
[1545/5000][220/535][159473] Loss_D: -0.019728 Loss_G: 0.018900 Loss_D_real: -0.022302 Loss_D_fake -0.002574
[1545/5000][225/535][159474] Loss_D: -0.019844 Loss_G: 0.005266 Loss_D_real: -0.017759 Loss_D_fake 0.002084
[1545/5000][230/535][159475] Loss_D: -0.019637 Loss_G: 0.000557 Loss_D_real: -0.006768 Loss_D_fake 0.012870
[1545/5000][235/535][159476] Loss_D: -0.020849 Loss_G: 0.020171 Loss_D_real: -0.017480 Loss_D_fake 0.003369
[1545/5000][240/535][159477] Loss_D: -0.020878 Loss_G: 0.008298 Loss_D_real: -0.026060 Loss_D_fake -0.005181
[1545/5000][245/535][159478] Loss_D: -0.020562 Loss_G: -0.005112 Loss_D_real: -0.012918 Loss_D_fake 0.007643
[1545/5000][250/535][159479] Loss_D: -0.020097 Loss_G: 0.041481 Loss_D_real: -0.018701 Loss_D_fake 0.001396
[1545/5000][255/535][159480] Loss_D: -0.019643 Loss_G: -0.003989 Loss_D_real: -0.002104 Loss_D_fake 0.017539
[1545/5000][260/535][159481] Loss_D: -0.018912 Loss_G: 0.003389 Loss_D_real: -0.010042 Loss_D_fake 0.008870
[1545/5000][265/535][159482] Loss_D: -0.020154 Loss_G: 0.017029 Loss_D_real: -0.025458 Loss_D_fake -0.005303
[1545/5000][270/535][159483] Loss_D: -0.019229 Loss_G: 0.004526 Loss_D_real: -0.009218 Loss_D_fake 0.010011
[1545/5000][275/535][159484] Loss_D: -0.019689 Loss_G: -0.009113 Loss_D_real: -0.010198 Loss_D_fake 0.009491
[1545/5000][280/535][159485] Loss_D: -0.019563 Loss_G: -0.002866 Loss_D_real: -0.015063 Loss_D_fake 0.004500
[1545/5000][285/535][159486] Loss_D: -0.020075 Loss_G: 0.006534 Loss_D_real: -0.002638 Loss_D_fake 0.017437
[1545/5000][290/535][159487] Loss_D: -0.020184 Loss_G: 0.027030 Loss_D_real: -0.019214 Loss_D_fake 0.000970
[1545/5000][295/535][159488] Loss_D: -0.019513 Loss_G: 0.007395 Loss_D_real: -0.028400 Loss_D_fake -0.008886
[1545/5000][300/535][159489] Loss_D: -0.019893 Loss_G: 0.011535 Loss_D_real: -0.023261 Loss_D_fake -0.003367
[1545/5000][305/535][159490] Loss_D: -0.019380 Loss_G: 0.016560 Loss_D_real: -0.018233 Loss_D_fake 0.001147
[1545/5000][310/535][159491] Loss_D: -0.018928 Loss_G: 0.005937 Loss_D_real: -0.012703 Loss_D_fake 0.006226
[1545/5000][315/535][159492] Loss_D: -0.018444 Loss_G: 0.014818 Loss_D_real: -0.022317 Loss_D_fake -0.003873
[1545/5000][320/535][159493] Loss_D: -0.018474 Loss_G: 0.022699 Loss_D_real: -0.024124 Loss_D_fake -0.005650
[1545/5000][325/535][159494] Loss_D: -0.018403 Loss_G: 0.028744 Loss_D_real: -0.026630 Loss_D_fake -0.008227
[1545/5000][330/535][159495] Loss_D: -0.019841 Loss_G: 0.008321 Loss_D_real: -0.012784 Loss_D_fake 0.007057
[1545/5000][335/535][159496] Loss_D: -0.019101 Loss_G: 0.001073 Loss_D_real: -0.014404 Loss_D_fake 0.004697
[1545/5000][340/535][159497] Loss_D: -0.018359 Loss_G: -0.008663 Loss_D_real: -0.018501 Loss_D_fake -0.000142
[1545/5000][345/535][159498] Loss_D: -0.019726 Loss_G: 0.009882 Loss_D_real: -0.020193 Loss_D_fake -0.000467
[1545/5000][350/535][159499] Loss_D: -0.019531 Loss_G: 0.026810 Loss_D_real: -0.025123 Loss_D_fake -0.005592
[1545/5000][355/535][159500] Loss_D: -0.018943 Loss_G: 0.008364 Loss_D_real: -0.034235 Loss_D_fake -0.015292
[1545/5000][455/535][159501] Loss_D: -0.020153 Loss_G: 0.022156 Loss_D_real: -0.035850 Loss_D_fake -0.015697
[1545/5000][460/535][159502] Loss_D: -0.020186 Loss_G: 0.001738 Loss_D_real: -0.022647 Loss_D_fake -0.002461
[1545/5000][465/535][159503] Loss_D: -0.017747 Loss_G: -0.007121 Loss_D_real: -0.014688 Loss_D_fake 0.003059
[1545/5000][470/535][159504] Loss_D: -0.018476 Loss_G: 0.010275 Loss_D_real: -0.021181 Loss_D_fake -0.002705
[1545/5000][475/535][159505] Loss_D: -0.019010 Loss_G: -0.004332 Loss_D_real: -0.016179 Loss_D_fake 0.002830
[1545/5000][480/535][159506] Loss_D: -0.020594 Loss_G: 0.019114 Loss_D_real: -0.017985 Loss_D_fake 0.002609
[1545/5000][485/535][159507] Loss_D: -0.019071 Loss_G: 0.006018 Loss_D_real: -0.013543 Loss_D_fake 0.005528
[1545/5000][490/535][159508] Loss_D: -0.019111 Loss_G: 0.009534 Loss_D_real: -0.007354 Loss_D_fake 0.011757
[1545/5000][495/535][159509] Loss_D: -0.019562 Loss_G: 0.008666 Loss_D_real: -0.019728 Loss_D_fake -0.000166
[1545/5000][500/535][159510] Loss_D: -0.019658 Loss_G: -0.012182 Loss_D_real: -0.006918 Loss_D_fake 0.012740
[1545/5000][505/535][159511] Loss_D: -0.016174 Loss_G: -0.012256 Loss_D_real: -0.006777 Loss_D_fake 0.009396
[1545/5000][510/535][159512] Loss_D: -0.019418 Loss_G: 0.010564 Loss_D_real: -0.018395 Loss_D_fake 0.001022
[1545/5000][515/535][159513] Loss_D: -0.019705 Loss_G: 0.000992 Loss_D_real: -0.004251 Loss_D_fake 0.015454
[1545/5000][520/535][159514] Loss_D: -0.019176 Loss_G: 0.014673 Loss_D_real: -0.017876 Loss_D_fake 0.001299
[1545/5000][525/535][159515] Loss_D: -0.016870 Loss_G: 0.033333 Loss_D_real: -0.041785 Loss_D_fake -0.024915
[1545/5000][530/535][159516] Loss_D: -0.018526 Loss_G: 0.005126 Loss_D_real: -0.012120 Loss_D_fake 0.006405
[1545/5000][535/535][159517] Loss_D: -0.018226 Loss_G: 0.025493 Loss_D_real: -0.005875 Loss_D_fake 0.012351
[1546/5000][5/535][159518] Loss_D: -0.019842 Loss_G: -0.011323 Loss_D_real: -0.009122 Loss_D_fake 0.010720
[1546/5000][10/535][159519] Loss_D: -0.018501 Loss_G: 0.005122 Loss_D_real: -0.016426 Loss_D_fake 0.002076
[1546/5000][15/535][159520] Loss_D: -0.019615 Loss_G: 0.010725 Loss_D_real: -0.023049 Loss_D_fake -0.003435
[1546/5000][20/535][159521] Loss_D: -0.019014 Loss_G: -0.006008 Loss_D_real: 0.003767 Loss_D_fake 0.022781
[1546/5000][25/535][159522] Loss_D: -0.019476 Loss_G: 0.018134 Loss_D_real: -0.026624 Loss_D_fake -0.007148
[1546/5000][30/535][159523] Loss_D: -0.018474 Loss_G: 0.004235 Loss_D_real: 0.000353 Loss_D_fake 0.018827
[1546/5000][35/535][159524] Loss_D: -0.018613 Loss_G: 0.011262 Loss_D_real: -0.020544 Loss_D_fake -0.001931
[1546/5000][40/535][159525] Loss_D: -0.018844 Loss_G: 0.021819 Loss_D_real: -0.028167 Loss_D_fake -0.009323
[1546/5000][45/535][159526] Loss_D: -0.020645 Loss_G: 0.011157 Loss_D_real: -0.013722 Loss_D_fake 0.006923
[1546/5000][50/535][159527] Loss_D: -0.019553 Loss_G: 0.003320 Loss_D_real: -0.015206 Loss_D_fake 0.004348
[1546/5000][55/535][159528] Loss_D: -0.019192 Loss_G: 0.008951 Loss_D_real: -0.019394 Loss_D_fake -0.000202
[1546/5000][60/535][159529] Loss_D: -0.018091 Loss_G: 0.015022 Loss_D_real: -0.019795 Loss_D_fake -0.001704
[1546/5000][65/535][159530] Loss_D: -0.020207 Loss_G: 0.013313 Loss_D_real: -0.010885 Loss_D_fake 0.009322
[1546/5000][70/535][159531] Loss_D: -0.017477 Loss_G: -0.021488 Loss_D_real: 0.000082 Loss_D_fake 0.017558
[1546/5000][75/535][159532] Loss_D: -0.019467 Loss_G: 0.012851 Loss_D_real: -0.011299 Loss_D_fake 0.008168
[1546/5000][80/535][159533] Loss_D: -0.019076 Loss_G: 0.009008 Loss_D_real: -0.016667 Loss_D_fake 0.002409
[1546/5000][85/535][159534] Loss_D: -0.018154 Loss_G: 0.018670 Loss_D_real: -0.027780 Loss_D_fake -0.009626
[1546/5000][90/535][159535] Loss_D: -0.019605 Loss_G: 0.000099 Loss_D_real: -0.021676 Loss_D_fake -0.002071
[1546/5000][95/535][159536] Loss_D: -0.018646 Loss_G: 0.020503 Loss_D_real: -0.018331 Loss_D_fake 0.000315
[1546/5000][100/535][159537] Loss_D: -0.019014 Loss_G: 0.020403 Loss_D_real: -0.027394 Loss_D_fake -0.008380
[1546/5000][105/535][159538] Loss_D: -0.018023 Loss_G: 0.017686 Loss_D_real: -0.015849 Loss_D_fake 0.002174
[1546/5000][110/535][159539] Loss_D: -0.019276 Loss_G: 0.012414 Loss_D_real: -0.007509 Loss_D_fake 0.011767
[1546/5000][115/535][159540] Loss_D: -0.018680 Loss_G: 0.002339 Loss_D_real: -0.009662 Loss_D_fake 0.009018
[1546/5000][120/535][159541] Loss_D: -0.018763 Loss_G: -0.012801 Loss_D_real: 0.004647 Loss_D_fake 0.023410
[1546/5000][125/535][159542] Loss_D: -0.018639 Loss_G: 0.001563 Loss_D_real: -0.006577 Loss_D_fake 0.012062
[1546/5000][130/535][159543] Loss_D: -0.019282 Loss_G: 0.020534 Loss_D_real: -0.023268 Loss_D_fake -0.003987
[1546/5000][135/535][159544] Loss_D: -0.019419 Loss_G: 0.022708 Loss_D_real: -0.017734 Loss_D_fake 0.001686
[1546/5000][140/535][159545] Loss_D: -0.018919 Loss_G: 0.006637 Loss_D_real: -0.029971 Loss_D_fake -0.011052
[1546/5000][145/535][159546] Loss_D: -0.017498 Loss_G: 0.033742 Loss_D_real: -0.033686 Loss_D_fake -0.016188
[1546/5000][150/535][159547] Loss_D: -0.018744 Loss_G: -0.009330 Loss_D_real: -0.003010 Loss_D_fake 0.015734
[1546/5000][155/535][159548] Loss_D: -0.018340 Loss_G: 0.007034 Loss_D_real: -0.020268 Loss_D_fake -0.001927
[1546/5000][160/535][159549] Loss_D: -0.020910 Loss_G: -0.009351 Loss_D_real: -0.004487 Loss_D_fake 0.016423
[1546/5000][165/535][159550] Loss_D: -0.020138 Loss_G: 0.013389 Loss_D_real: -0.005470 Loss_D_fake 0.014668
[1546/5000][170/535][159551] Loss_D: -0.018968 Loss_G: -0.000073 Loss_D_real: -0.011042 Loss_D_fake 0.007926
[1546/5000][175/535][159552] Loss_D: -0.018738 Loss_G: 0.016356 Loss_D_real: -0.019552 Loss_D_fake -0.000814
[1546/5000][180/535][159553] Loss_D: -0.019022 Loss_G: 0.011646 Loss_D_real: -0.025486 Loss_D_fake -0.006463
[1546/5000][185/535][159554] Loss_D: -0.019249 Loss_G: 0.021924 Loss_D_real: -0.020030 Loss_D_fake -0.000781
[1546/5000][190/535][159555] Loss_D: -0.020497 Loss_G: 0.004982 Loss_D_real: -0.023314 Loss_D_fake -0.002817
[1546/5000][195/535][159556] Loss_D: -0.018866 Loss_G: 0.011783 Loss_D_real: -0.011221 Loss_D_fake 0.007645
[1546/5000][200/535][159557] Loss_D: -0.019750 Loss_G: 0.020334 Loss_D_real: -0.017313 Loss_D_fake 0.002437
[1546/5000][205/535][159558] Loss_D: -0.019685 Loss_G: -0.008489 Loss_D_real: 0.001216 Loss_D_fake 0.020901
[1546/5000][210/535][159559] Loss_D: -0.019524 Loss_G: -0.001226 Loss_D_real: -0.011100 Loss_D_fake 0.008424
[1546/5000][215/535][159560] Loss_D: -0.019702 Loss_G: 0.017021 Loss_D_real: -0.018539 Loss_D_fake 0.001163
[1546/5000][220/535][159561] Loss_D: -0.019320 Loss_G: -0.001693 Loss_D_real: -0.020442 Loss_D_fake -0.001122
[1546/5000][225/535][159562] Loss_D: -0.019806 Loss_G: 0.007683 Loss_D_real: -0.010193 Loss_D_fake 0.009612
[1546/5000][230/535][159563] Loss_D: -0.020537 Loss_G: 0.009400 Loss_D_real: -0.020404 Loss_D_fake 0.000133
[1546/5000][235/535][159564] Loss_D: -0.019211 Loss_G: -0.012949 Loss_D_real: 0.000866 Loss_D_fake 0.020077
[1546/5000][240/535][159565] Loss_D: -0.019772 Loss_G: 0.024829 Loss_D_real: -0.022323 Loss_D_fake -0.002551
[1546/5000][245/535][159566] Loss_D: -0.019164 Loss_G: 0.018044 Loss_D_real: -0.019443 Loss_D_fake -0.000280
[1546/5000][250/535][159567] Loss_D: -0.020804 Loss_G: 0.019052 Loss_D_real: -0.018844 Loss_D_fake 0.001960
[1546/5000][255/535][159568] Loss_D: -0.019001 Loss_G: 0.020895 Loss_D_real: -0.019427 Loss_D_fake -0.000426
[1546/5000][260/535][159569] Loss_D: -0.020681 Loss_G: -0.005328 Loss_D_real: -0.017824 Loss_D_fake 0.002858
[1546/5000][265/535][159570] Loss_D: -0.020533 Loss_G: 0.015414 Loss_D_real: -0.019814 Loss_D_fake 0.000719
[1546/5000][270/535][159571] Loss_D: -0.019798 Loss_G: 0.016629 Loss_D_real: -0.030523 Loss_D_fake -0.010725
[1546/5000][275/535][159572] Loss_D: -0.021000 Loss_G: 0.008546 Loss_D_real: -0.008954 Loss_D_fake 0.012045
[1546/5000][280/535][159573] Loss_D: -0.019405 Loss_G: -0.008723 Loss_D_real: -0.002074 Loss_D_fake 0.017331
[1546/5000][285/535][159574] Loss_D: -0.019861 Loss_G: 0.033771 Loss_D_real: -0.016420 Loss_D_fake 0.003442
[1546/5000][290/535][159575] Loss_D: -0.020404 Loss_G: 0.003212 Loss_D_real: -0.014415 Loss_D_fake 0.005989
[1546/5000][295/535][159576] Loss_D: -0.019898 Loss_G: 0.004872 Loss_D_real: -0.024482 Loss_D_fake -0.004584
[1546/5000][300/535][159577] Loss_D: -0.019968 Loss_G: 0.013666 Loss_D_real: -0.015976 Loss_D_fake 0.003992
[1546/5000][305/535][159578] Loss_D: -0.019361 Loss_G: 0.020199 Loss_D_real: -0.028066 Loss_D_fake -0.008706
[1546/5000][310/535][159579] Loss_D: -0.019463 Loss_G: 0.007470 Loss_D_real: -0.016335 Loss_D_fake 0.003128
[1546/5000][315/535][159580] Loss_D: -0.020830 Loss_G: -0.000632 Loss_D_real: -0.015000 Loss_D_fake 0.005830
[1546/5000][320/535][159581] Loss_D: -0.019420 Loss_G: 0.012108 Loss_D_real: -0.030593 Loss_D_fake -0.011173
[1546/5000][325/535][159582] Loss_D: -0.018675 Loss_G: 0.001749 Loss_D_real: -0.022464 Loss_D_fake -0.003789
[1546/5000][330/535][159583] Loss_D: -0.019068 Loss_G: 0.013905 Loss_D_real: -0.016360 Loss_D_fake 0.002708
[1546/5000][335/535][159584] Loss_D: -0.019957 Loss_G: 0.003149 Loss_D_real: -0.013723 Loss_D_fake 0.006234
[1546/5000][340/535][159585] Loss_D: -0.020418 Loss_G: 0.007030 Loss_D_real: -0.018715 Loss_D_fake 0.001703
[1546/5000][345/535][159586] Loss_D: -0.018356 Loss_G: -0.010058 Loss_D_real: -0.012346 Loss_D_fake 0.006009
[1546/5000][350/535][159587] Loss_D: -0.019475 Loss_G: 0.006098 Loss_D_real: -0.023935 Loss_D_fake -0.004460
[1546/5000][355/535][159588] Loss_D: -0.019734 Loss_G: 0.004508 Loss_D_real: -0.012962 Loss_D_fake 0.006772
[1546/5000][360/535][159589] Loss_D: -0.019885 Loss_G: 0.008027 Loss_D_real: -0.012032 Loss_D_fake 0.007852
[1546/5000][365/535][159590] Loss_D: -0.019094 Loss_G: -0.017870 Loss_D_real: 0.001505 Loss_D_fake 0.020599
[1546/5000][370/535][159591] Loss_D: -0.019390 Loss_G: 0.006693 Loss_D_real: -0.018220 Loss_D_fake 0.001170
[1546/5000][375/535][159592] Loss_D: -0.019388 Loss_G: 0.017683 Loss_D_real: -0.016162 Loss_D_fake 0.003226
[1546/5000][380/535][159593] Loss_D: -0.016936 Loss_G: 0.026415 Loss_D_real: -0.028053 Loss_D_fake -0.011118
[1546/5000][385/535][159594] Loss_D: -0.018982 Loss_G: 0.014315 Loss_D_real: -0.028949 Loss_D_fake -0.009966
[1546/5000][390/535][159595] Loss_D: -0.019015 Loss_G: 0.007988 Loss_D_real: -0.018667 Loss_D_fake 0.000348
[1546/5000][395/535][159596] Loss_D: -0.019342 Loss_G: 0.006000 Loss_D_real: -0.014580 Loss_D_fake 0.004762
[1546/5000][400/535][159597] Loss_D: -0.018938 Loss_G: 0.015931 Loss_D_real: -0.010785 Loss_D_fake 0.008153
[1546/5000][405/535][159598] Loss_D: -0.017976 Loss_G: 0.025077 Loss_D_real: -0.021816 Loss_D_fake -0.003840
[1546/5000][410/535][159599] Loss_D: -0.019524 Loss_G: 0.004899 Loss_D_real: -0.015171 Loss_D_fake 0.004353
[1546/5000][415/535][159600] Loss_D: -0.020036 Loss_G: 0.008789 Loss_D_real: -0.021903 Loss_D_fake -0.001867
[1546/5000][420/535][159601] Loss_D: -0.020648 Loss_G: 0.004730 Loss_D_real: -0.013345 Loss_D_fake 0.007302
[1546/5000][425/535][159602] Loss_D: -0.018047 Loss_G: 0.023097 Loss_D_real: -0.032352 Loss_D_fake -0.014305
[1546/5000][430/535][159603] Loss_D: -0.019730 Loss_G: -0.008108 Loss_D_real: -0.006080 Loss_D_fake 0.013651
[1546/5000][435/535][159604] Loss_D: -0.020153 Loss_G: 0.012904 Loss_D_real: -0.028202 Loss_D_fake -0.008050
[1546/5000][440/535][159605] Loss_D: -0.019618 Loss_G: 0.001295 Loss_D_real: -0.018235 Loss_D_fake 0.001383
[1546/5000][445/535][159606] Loss_D: -0.020088 Loss_G: 0.004242 Loss_D_real: -0.002059 Loss_D_fake 0.018029
[1546/5000][450/535][159607] Loss_D: -0.019125 Loss_G: 0.013809 Loss_D_real: -0.007528 Loss_D_fake 0.011597
[1546/5000][455/535][159608] Loss_D: -0.019096 Loss_G: 0.009333 Loss_D_real: -0.004370 Loss_D_fake 0.014727
[1546/5000][460/535][159609] Loss_D: -0.019758 Loss_G: 0.009756 Loss_D_real: -0.025515 Loss_D_fake -0.005757
[1546/5000][465/535][159610] Loss_D: -0.019037 Loss_G: 0.020030 Loss_D_real: -0.026443 Loss_D_fake -0.007406
[1546/5000][470/535][159611] Loss_D: -0.020317 Loss_G: -0.000642 Loss_D_real: -0.022779 Loss_D_fake -0.002462
[1546/5000][475/535][159612] Loss_D: -0.018882 Loss_G: -0.019818 Loss_D_real: -0.005601 Loss_D_fake 0.013281
[1546/5000][480/535][159613] Loss_D: -0.020622 Loss_G: -0.004812 Loss_D_real: -0.015667 Loss_D_fake 0.004955
[1546/5000][485/535][159614] Loss_D: -0.020792 Loss_G: 0.020517 Loss_D_real: -0.016717 Loss_D_fake 0.004074
[1546/5000][490/535][159615] Loss_D: -0.019203 Loss_G: -0.013135 Loss_D_real: 0.001191 Loss_D_fake 0.020394
[1546/5000][495/535][159616] Loss_D: -0.018220 Loss_G: 0.024722 Loss_D_real: -0.030418 Loss_D_fake -0.012198
[1546/5000][500/535][159617] Loss_D: -0.019330 Loss_G: -0.006593 Loss_D_real: -0.001132 Loss_D_fake 0.018198
[1546/5000][505/535][159618] Loss_D: -0.018061 Loss_G: 0.005491 Loss_D_real: -0.016647 Loss_D_fake 0.001414
[1546/5000][510/535][159619] Loss_D: -0.019466 Loss_G: 0.021482 Loss_D_real: -0.017556 Loss_D_fake 0.001910
[1546/5000][515/535][159620] Loss_D: -0.017322 Loss_G: -0.014532 Loss_D_real: -0.001550 Loss_D_fake 0.015772
[1546/5000][520/535][159621] Loss_D: -0.019738 Loss_G: 0.009413 Loss_D_real: -0.012780 Loss_D_fake 0.006958
[1546/5000][525/535][159622] Loss_D: -0.020342 Loss_G: 0.008759 Loss_D_real: -0.015705 Loss_D_fake 0.004638
[1546/5000][530/535][159623] Loss_D: -0.019081 Loss_G: -0.008261 Loss_D_real: -0.007412 Loss_D_fake 0.011669
[1546/5000][535/535][159624] Loss_D: -0.022162 Loss_G: 0.011146 Loss_D_real: -0.001355 Loss_D_fake 0.020806
[1547/5000][5/535][159625] Loss_D: -0.019172 Loss_G: 0.022050 Loss_D_real: -0.017770 Loss_D_fake 0.001402
[1547/5000][10/535][159626] Loss_D: -0.020396 Loss_G: -0.000703 Loss_D_real: -0.002321 Loss_D_fake 0.018075
[1547/5000][15/535][159627] Loss_D: -0.019370 Loss_G: 0.018931 Loss_D_real: -0.019263 Loss_D_fake 0.000106
[1547/5000][20/535][159628] Loss_D: -0.019999 Loss_G: 0.005080 Loss_D_real: -0.017656 Loss_D_fake 0.002344
[1547/5000][25/535][159629] Loss_D: -0.019827 Loss_G: -0.000850 Loss_D_real: -0.024648 Loss_D_fake -0.004821
[1547/5000][30/535][159630] Loss_D: -0.019285 Loss_G: 0.003108 Loss_D_real: -0.007412 Loss_D_fake 0.011873
[1547/5000][35/535][159631] Loss_D: -0.017627 Loss_G: 0.026193 Loss_D_real: -0.025371 Loss_D_fake -0.007743
[1547/5000][40/535][159632] Loss_D: -0.019024 Loss_G: 0.009711 Loss_D_real: -0.032449 Loss_D_fake -0.013425
[1547/5000][45/535][159633] Loss_D: -0.019188 Loss_G: 0.016761 Loss_D_real: -0.015954 Loss_D_fake 0.003233
[1547/5000][50/535][159634] Loss_D: -0.020420 Loss_G: 0.009435 Loss_D_real: -0.023971 Loss_D_fake -0.003551
[1547/5000][55/535][159635] Loss_D: -0.021138 Loss_G: 0.016095 Loss_D_real: -0.011347 Loss_D_fake 0.009791
[1547/5000][60/535][159636] Loss_D: -0.019914 Loss_G: -0.009789 Loss_D_real: -0.010573 Loss_D_fake 0.009342
[1547/5000][65/535][159637] Loss_D: -0.021337 Loss_G: -0.005628 Loss_D_real: 0.004981 Loss_D_fake 0.026317
[1547/5000][70/535][159638] Loss_D: -0.019929 Loss_G: 0.012237 Loss_D_real: -0.019615 Loss_D_fake 0.000313
[1547/5000][75/535][159639] Loss_D: -0.019533 Loss_G: 0.007107 Loss_D_real: -0.009169 Loss_D_fake 0.010364
[1547/5000][80/535][159640] Loss_D: -0.020300 Loss_G: -0.008976 Loss_D_real: 0.006622 Loss_D_fake 0.026922
[1547/5000][85/535][159641] Loss_D: -0.019160 Loss_G: -0.009569 Loss_D_real: -0.007713 Loss_D_fake 0.011447
[1547/5000][90/535][159642] Loss_D: -0.018882 Loss_G: -0.001193 Loss_D_real: -0.027988 Loss_D_fake -0.009105
[1547/5000][95/535][159643] Loss_D: -0.019963 Loss_G: -0.011844 Loss_D_real: -0.013023 Loss_D_fake 0.006940
[1547/5000][100/535][159644] Loss_D: -0.019427 Loss_G: 0.009035 Loss_D_real: -0.010103 Loss_D_fake 0.009324
[1547/5000][105/535][159645] Loss_D: -0.019434 Loss_G: -0.001741 Loss_D_real: -0.018440 Loss_D_fake 0.000994
[1547/5000][110/535][159646] Loss_D: -0.018732 Loss_G: -0.008484 Loss_D_real: -0.014539 Loss_D_fake 0.004193
[1547/5000][115/535][159647] Loss_D: -0.019128 Loss_G: 0.003513 Loss_D_real: -0.009226 Loss_D_fake 0.009902
[1547/5000][120/535][159648] Loss_D: -0.018991 Loss_G: -0.002074 Loss_D_real: -0.009756 Loss_D_fake 0.009235
[1547/5000][125/535][159649] Loss_D: -0.017998 Loss_G: -0.004277 Loss_D_real: 0.007511 Loss_D_fake 0.025509
[1547/5000][130/535][159650] Loss_D: -0.020107 Loss_G: 0.003006 Loss_D_real: -0.017472 Loss_D_fake 0.002635
[1547/5000][135/535][159651] Loss_D: -0.019982 Loss_G: 0.006783 Loss_D_real: -0.003922 Loss_D_fake 0.016059
[1547/5000][140/535][159652] Loss_D: -0.017726 Loss_G: 0.019244 Loss_D_real: -0.030608 Loss_D_fake -0.012883
[1547/5000][145/535][159653] Loss_D: -0.018932 Loss_G: 0.011433 Loss_D_real: -0.008201 Loss_D_fake 0.010731
[1547/5000][150/535][159654] Loss_D: -0.019744 Loss_G: 0.002127 Loss_D_real: -0.019448 Loss_D_fake 0.000296
[1547/5000][155/535][159655] Loss_D: -0.021503 Loss_G: -0.013214 Loss_D_real: -0.005881 Loss_D_fake 0.015622
[1547/5000][160/535][159656] Loss_D: -0.020313 Loss_G: 0.010851 Loss_D_real: 0.001022 Loss_D_fake 0.021335
[1547/5000][165/535][159657] Loss_D: -0.018483 Loss_G: -0.015156 Loss_D_real: 0.002248 Loss_D_fake 0.020731
[1547/5000][170/535][159658] Loss_D: -0.018778 Loss_G: 0.013521 Loss_D_real: -0.019621 Loss_D_fake -0.000843
[1547/5000][175/535][159659] Loss_D: -0.019121 Loss_G: 0.025399 Loss_D_real: -0.026911 Loss_D_fake -0.007790
[1547/5000][180/535][159660] Loss_D: -0.019058 Loss_G: -0.004357 Loss_D_real: -0.011718 Loss_D_fake 0.007340
[1547/5000][185/535][159661] Loss_D: -0.019620 Loss_G: 0.015018 Loss_D_real: -0.025800 Loss_D_fake -0.006180
[1547/5000][190/535][159662] Loss_D: -0.019954 Loss_G: 0.009651 Loss_D_real: -0.005215 Loss_D_fake 0.014740
[1547/5000][195/535][159663] Loss_D: -0.018253 Loss_G: 0.008960 Loss_D_real: -0.015548 Loss_D_fake 0.002705
[1547/5000][200/535][159664] Loss_D: -0.019412 Loss_G: -0.010645 Loss_D_real: -0.008150 Loss_D_fake 0.011262
[1547/5000][205/535][159665] Loss_D: -0.019461 Loss_G: 0.002398 Loss_D_real: -0.010848 Loss_D_fake 0.008612
[1547/5000][210/535][159666] Loss_D: -0.020884 Loss_G: 0.024522 Loss_D_real: -0.029275 Loss_D_fake -0.008391
[1547/5000][215/535][159667] Loss_D: -0.019328 Loss_G: 0.020308 Loss_D_real: -0.021249 Loss_D_fake -0.001921
[1547/5000][220/535][159668] Loss_D: -0.019566 Loss_G: -0.002907 Loss_D_real: -0.017996 Loss_D_fake 0.001571
[1547/5000][225/535][159669] Loss_D: -0.020070 Loss_G: -0.009591 Loss_D_real: -0.007578 Loss_D_fake 0.012492
[1547/5000][230/535][159670] Loss_D: -0.018571 Loss_G: -0.012499 Loss_D_real: -0.007507 Loss_D_fake 0.011064
[1547/5000][235/535][159671] Loss_D: -0.017062 Loss_G: 0.033864 Loss_D_real: -0.025680 Loss_D_fake -0.008617
[1547/5000][240/535][159672] Loss_D: -0.019602 Loss_G: 0.001336 Loss_D_real: -0.008642 Loss_D_fake 0.010960
[1547/5000][245/535][159673] Loss_D: -0.019326 Loss_G: 0.004920 Loss_D_real: -0.010930 Loss_D_fake 0.008396
[1547/5000][250/535][159674] Loss_D: -0.018069 Loss_G: -0.022280 Loss_D_real: 0.001650 Loss_D_fake 0.019719
[1547/5000][255/535][159675] Loss_D: -0.018232 Loss_G: 0.005641 Loss_D_real: -0.016231 Loss_D_fake 0.002001
[1547/5000][260/535][159676] Loss_D: -0.018616 Loss_G: 0.026157 Loss_D_real: -0.022786 Loss_D_fake -0.004170
[1547/5000][265/535][159677] Loss_D: -0.018506 Loss_G: -0.003895 Loss_D_real: -0.003923 Loss_D_fake 0.014583
[1547/5000][270/535][159678] Loss_D: -0.019754 Loss_G: -0.003831 Loss_D_real: -0.019064 Loss_D_fake 0.000689
[1547/5000][275/535][159679] Loss_D: -0.019824 Loss_G: 0.003527 Loss_D_real: -0.012829 Loss_D_fake 0.006995
[1547/5000][280/535][159680] Loss_D: -0.020421 Loss_G: -0.011548 Loss_D_real: -0.015769 Loss_D_fake 0.004652
[1547/5000][285/535][159681] Loss_D: -0.018488 Loss_G: 0.022816 Loss_D_real: -0.023130 Loss_D_fake -0.004642
[1547/5000][290/535][159682] Loss_D: -0.019095 Loss_G: 0.019585 Loss_D_real: -0.020899 Loss_D_fake -0.001803
[1547/5000][295/535][159683] Loss_D: -0.020311 Loss_G: 0.011532 Loss_D_real: -0.032830 Loss_D_fake -0.012518
[1547/5000][300/535][159684] Loss_D: -0.018899 Loss_G: 0.009023 Loss_D_real: -0.017017 Loss_D_fake 0.001882
[1547/5000][305/535][159685] Loss_D: -0.019587 Loss_G: 0.018872 Loss_D_real: -0.027468 Loss_D_fake -0.007881
[1547/5000][310/535][159686] Loss_D: -0.016559 Loss_G: 0.019207 Loss_D_real: -0.039798 Loss_D_fake -0.023238
[1547/5000][315/535][159687] Loss_D: -0.020295 Loss_G: 0.002518 Loss_D_real: -0.005291 Loss_D_fake 0.015004
[1547/5000][320/535][159688] Loss_D: -0.019659 Loss_G: 0.008021 Loss_D_real: -0.034216 Loss_D_fake -0.014557
[1547/5000][325/535][159689] Loss_D: -0.021446 Loss_G: 0.020385 Loss_D_real: -0.023157 Loss_D_fake -0.001711
[1547/5000][330/535][159690] Loss_D: -0.019365 Loss_G: -0.000473 Loss_D_real: 0.013027 Loss_D_fake 0.032393
[1547/5000][335/535][159691] Loss_D: -0.019155 Loss_G: 0.016558 Loss_D_real: -0.022544 Loss_D_fake -0.003388
[1547/5000][340/535][159692] Loss_D: -0.020236 Loss_G: -0.006165 Loss_D_real: -0.015030 Loss_D_fake 0.005206
[1547/5000][345/535][159693] Loss_D: -0.018955 Loss_G: 0.025284 Loss_D_real: -0.022152 Loss_D_fake -0.003197
[1547/5000][350/535][159694] Loss_D: -0.020414 Loss_G: -0.002335 Loss_D_real: -0.005392 Loss_D_fake 0.015023
[1547/5000][355/535][159695] Loss_D: -0.018921 Loss_G: -0.007647 Loss_D_real: -0.002257 Loss_D_fake 0.016665
[1547/5000][360/535][159696] Loss_D: -0.019108 Loss_G: 0.015119 Loss_D_real: -0.025709 Loss_D_fake -0.006601
[1547/5000][365/535][159697] Loss_D: -0.019194 Loss_G: -0.000115 Loss_D_real: -0.013442 Loss_D_fake 0.005752
[1547/5000][370/535][159698] Loss_D: -0.019686 Loss_G: -0.000334 Loss_D_real: -0.020835 Loss_D_fake -0.001149
[1547/5000][375/535][159699] Loss_D: -0.020770 Loss_G: 0.000967 Loss_D_real: -0.013488 Loss_D_fake 0.007282
[1547/5000][380/535][159700] Loss_D: -0.019150 Loss_G: -0.008531 Loss_D_real: 0.007524 Loss_D_fake 0.026674
[1547/5000][385/535][159701] Loss_D: -0.018657 Loss_G: -0.001589 Loss_D_real: -0.008974 Loss_D_fake 0.009683
[1547/5000][390/535][159702] Loss_D: -0.019629 Loss_G: 0.004791 Loss_D_real: -0.009469 Loss_D_fake 0.010160
[1547/5000][395/535][159703] Loss_D: -0.018191 Loss_G: 0.013742 Loss_D_real: -0.018624 Loss_D_fake -0.000433
[1547/5000][400/535][159704] Loss_D: -0.018533 Loss_G: 0.022280 Loss_D_real: -0.014573 Loss_D_fake 0.003960
[1547/5000][405/535][159705] Loss_D: -0.019481 Loss_G: -0.008424 Loss_D_real: -0.010551 Loss_D_fake 0.008930
[1547/5000][410/535][159706] Loss_D: -0.019335 Loss_G: 0.017146 Loss_D_real: -0.022972 Loss_D_fake -0.003637
[1547/5000][415/535][159707] Loss_D: -0.019149 Loss_G: 0.017998 Loss_D_real: -0.020651 Loss_D_fake -0.001502
[1547/5000][420/535][159708] Loss_D: -0.019371 Loss_G: 0.004906 Loss_D_real: -0.014481 Loss_D_fake 0.004890
[1547/5000][425/535][159709] Loss_D: -0.020606 Loss_G: 0.009398 Loss_D_real: -0.021077 Loss_D_fake -0.000471
[1547/5000][430/535][159710] Loss_D: -0.019299 Loss_G: 0.016868 Loss_D_real: -0.011847 Loss_D_fake 0.007452
[1547/5000][435/535][159711] Loss_D: -0.020243 Loss_G: -0.008658 Loss_D_real: -0.006149 Loss_D_fake 0.014094
[1547/5000][440/535][159712] Loss_D: -0.020277 Loss_G: 0.010840 Loss_D_real: -0.020514 Loss_D_fake -0.000237
[1547/5000][445/535][159713] Loss_D: -0.019160 Loss_G: 0.008323 Loss_D_real: -0.011690 Loss_D_fake 0.007470
[1547/5000][450/535][159714] Loss_D: -0.020789 Loss_G: 0.022417 Loss_D_real: -0.027493 Loss_D_fake -0.006704
[1547/5000][455/535][159715] Loss_D: -0.020886 Loss_G: 0.007151 Loss_D_real: -0.016411 Loss_D_fake 0.004475
[1547/5000][460/535][159716] Loss_D: -0.019671 Loss_G: 0.010646 Loss_D_real: -0.020198 Loss_D_fake -0.000527
[1547/5000][465/535][159717] Loss_D: -0.019217 Loss_G: -0.002614 Loss_D_real: -0.008611 Loss_D_fake 0.010606
[1547/5000][470/535][159718] Loss_D: -0.020221 Loss_G: 0.014659 Loss_D_real: -0.011831 Loss_D_fake 0.008390
[1547/5000][475/535][159719] Loss_D: -0.020488 Loss_G: 0.010513 Loss_D_real: -0.008479 Loss_D_fake 0.012009
[1547/5000][480/535][159720] Loss_D: -0.020192 Loss_G: 0.011333 Loss_D_real: -0.020321 Loss_D_fake -0.000129
[1547/5000][485/535][159721] Loss_D: -0.019721 Loss_G: 0.016426 Loss_D_real: -0.024201 Loss_D_fake -0.004480
[1547/5000][490/535][159722] Loss_D: -0.019168 Loss_G: 0.023924 Loss_D_real: -0.034949 Loss_D_fake -0.015782
[1547/5000][495/535][159723] Loss_D: -0.018437 Loss_G: 0.018667 Loss_D_real: -0.032232 Loss_D_fake -0.013795
[1547/5000][500/535][159724] Loss_D: -0.019602 Loss_G: 0.007841 Loss_D_real: -0.027156 Loss_D_fake -0.007554
[1547/5000][505/535][159725] Loss_D: -0.019422 Loss_G: 0.014336 Loss_D_real: -0.024900 Loss_D_fake -0.005478
[1547/5000][510/535][159726] Loss_D: -0.020044 Loss_G: 0.007104 Loss_D_real: -0.022569 Loss_D_fake -0.002525
[1547/5000][515/535][159727] Loss_D: -0.019375 Loss_G: 0.005820 Loss_D_real: -0.006138 Loss_D_fake 0.013237
[1547/5000][520/535][159728] Loss_D: -0.020114 Loss_G: -0.001828 Loss_D_real: -0.006688 Loss_D_fake 0.013426
[1547/5000][525/535][159729] Loss_D: -0.018234 Loss_G: 0.020727 Loss_D_real: -0.028203 Loss_D_fake -0.009969
[1547/5000][530/535][159730] Loss_D: -0.019082 Loss_G: -0.007039 Loss_D_real: -0.007609 Loss_D_fake 0.011473
[1547/5000][535/535][159731] Loss_D: -0.021367 Loss_G: 0.004720 Loss_D_real: -0.004286 Loss_D_fake 0.017081
[1548/5000][5/535][159732] Loss_D: -0.020044 Loss_G: -0.004215 Loss_D_real: -0.023357 Loss_D_fake -0.003313
[1548/5000][10/535][159733] Loss_D: -0.018822 Loss_G: 0.008683 Loss_D_real: -0.015911 Loss_D_fake 0.002911
[1548/5000][15/535][159734] Loss_D: -0.020105 Loss_G: 0.000456 Loss_D_real: 0.007275 Loss_D_fake 0.027380
[1548/5000][20/535][159735] Loss_D: -0.020138 Loss_G: 0.013236 Loss_D_real: -0.018048 Loss_D_fake 0.002091
[1548/5000][25/535][159736] Loss_D: -0.020631 Loss_G: -0.021320 Loss_D_real: -0.006701 Loss_D_fake 0.013930
[1548/5000][30/535][159737] Loss_D: -0.018592 Loss_G: 0.021591 Loss_D_real: -0.023065 Loss_D_fake -0.004472
[1548/5000][35/535][159738] Loss_D: -0.018380 Loss_G: 0.003508 Loss_D_real: -0.014022 Loss_D_fake 0.004358
[1548/5000][40/535][159739] Loss_D: -0.019853 Loss_G: 0.011171 Loss_D_real: -0.005727 Loss_D_fake 0.014126
[1548/5000][45/535][159740] Loss_D: -0.018635 Loss_G: 0.002934 Loss_D_real: -0.017438 Loss_D_fake 0.001197
[1548/5000][50/535][159741] Loss_D: -0.017418 Loss_G: 0.017735 Loss_D_real: -0.025702 Loss_D_fake -0.008284
[1548/5000][55/535][159742] Loss_D: -0.019352 Loss_G: 0.005728 Loss_D_real: -0.025508 Loss_D_fake -0.006155
[1548/5000][60/535][159743] Loss_D: -0.019744 Loss_G: 0.004584 Loss_D_real: -0.024084 Loss_D_fake -0.004340
[1548/5000][65/535][159744] Loss_D: -0.019274 Loss_G: 0.011770 Loss_D_real: -0.021616 Loss_D_fake -0.002342
[1548/5000][70/535][159745] Loss_D: -0.019710 Loss_G: 0.026031 Loss_D_real: -0.022995 Loss_D_fake -0.003285
[1548/5000][75/535][159746] Loss_D: -0.021110 Loss_G: -0.002590 Loss_D_real: -0.014232 Loss_D_fake 0.006878
[1548/5000][80/535][159747] Loss_D: -0.019286 Loss_G: 0.020984 Loss_D_real: -0.032936 Loss_D_fake -0.013650
[1548/5000][85/535][159748] Loss_D: -0.018821 Loss_G: -0.014786 Loss_D_real: 0.006836 Loss_D_fake 0.025657
[1548/5000][90/535][159749] Loss_D: -0.019065 Loss_G: 0.009199 Loss_D_real: -0.014528 Loss_D_fake 0.004536
[1548/5000][95/535][159750] Loss_D: -0.019549 Loss_G: -0.011630 Loss_D_real: -0.003390 Loss_D_fake 0.016159
[1548/5000][100/535][159751] Loss_D: -0.020679 Loss_G: 0.022384 Loss_D_real: -0.025841 Loss_D_fake -0.005162
[1548/5000][105/535][159752] Loss_D: -0.019876 Loss_G: 0.009280 Loss_D_real: -0.020083 Loss_D_fake -0.000207
[1548/5000][110/535][159753] Loss_D: -0.019474 Loss_G: 0.022881 Loss_D_real: -0.029397 Loss_D_fake -0.009923
[1548/5000][115/535][159754] Loss_D: -0.019634 Loss_G: 0.012137 Loss_D_real: -0.018888 Loss_D_fake 0.000746
[1548/5000][120/535][159755] Loss_D: -0.020863 Loss_G: 0.010092 Loss_D_real: -0.016953 Loss_D_fake 0.003910
[1548/5000][125/535][159756] Loss_D: -0.019281 Loss_G: 0.018421 Loss_D_real: -0.006697 Loss_D_fake 0.012585
[1548/5000][130/535][159757] Loss_D: -0.020265 Loss_G: 0.013033 Loss_D_real: -0.015018 Loss_D_fake 0.005248
[1548/5000][135/535][159758] Loss_D: -0.017917 Loss_G: -0.006909 Loss_D_real: -0.004246 Loss_D_fake 0.013671
[1548/5000][140/535][159759] Loss_D: -0.019774 Loss_G: -0.008581 Loss_D_real: 0.001631 Loss_D_fake 0.021405
[1548/5000][145/535][159760] Loss_D: -0.020638 Loss_G: -0.000210 Loss_D_real: 0.004489 Loss_D_fake 0.025128
[1548/5000][150/535][159761] Loss_D: -0.020141 Loss_G: 0.003366 Loss_D_real: -0.015210 Loss_D_fake 0.004931
[1548/5000][155/535][159762] Loss_D: -0.019576 Loss_G: 0.007706 Loss_D_real: -0.017587 Loss_D_fake 0.001989
[1548/5000][160/535][159763] Loss_D: -0.018839 Loss_G: 0.006086 Loss_D_real: -0.015861 Loss_D_fake 0.002978
[1548/5000][165/535][159764] Loss_D: -0.019782 Loss_G: -0.006005 Loss_D_real: -0.015146 Loss_D_fake 0.004636
[1548/5000][170/535][159765] Loss_D: -0.017449 Loss_G: -0.017688 Loss_D_real: -0.001910 Loss_D_fake 0.015539
[1548/5000][175/535][159766] Loss_D: -0.018359 Loss_G: 0.018309 Loss_D_real: -0.021266 Loss_D_fake -0.002906
[1548/5000][180/535][159767] Loss_D: -0.019406 Loss_G: 0.002870 Loss_D_real: -0.012629 Loss_D_fake 0.006777
[1548/5000][185/535][159768] Loss_D: -0.019078 Loss_G: 0.012554 Loss_D_real: -0.034994 Loss_D_fake -0.015916
[1548/5000][190/535][159769] Loss_D: -0.018533 Loss_G: 0.019993 Loss_D_real: -0.023520 Loss_D_fake -0.004987
[1548/5000][195/535][159770] Loss_D: -0.019339 Loss_G: -0.009295 Loss_D_real: -0.021861 Loss_D_fake -0.002522
[1548/5000][200/535][159771] Loss_D: -0.019610 Loss_G: 0.016804 Loss_D_real: -0.019353 Loss_D_fake 0.000257
[1548/5000][205/535][159772] Loss_D: -0.019003 Loss_G: -0.001523 Loss_D_real: -0.017783 Loss_D_fake 0.001220
[1548/5000][210/535][159773] Loss_D: -0.019584 Loss_G: -0.008439 Loss_D_real: -0.008864 Loss_D_fake 0.010720
[1548/5000][215/535][159774] Loss_D: -0.019277 Loss_G: 0.003180 Loss_D_real: -0.018769 Loss_D_fake 0.000508
[1548/5000][220/535][159775] Loss_D: -0.019100 Loss_G: 0.025932 Loss_D_real: -0.027249 Loss_D_fake -0.008150
[1548/5000][225/535][159776] Loss_D: -0.018270 Loss_G: 0.013930 Loss_D_real: -0.026867 Loss_D_fake -0.008597
[1548/5000][230/535][159777] Loss_D: -0.018192 Loss_G: 0.003945 Loss_D_real: -0.013933 Loss_D_fake 0.004259
[1548/5000][235/535][159778] Loss_D: -0.019687 Loss_G: 0.010452 Loss_D_real: -0.001380 Loss_D_fake 0.018306
[1548/5000][240/535][159779] Loss_D: -0.019982 Loss_G: 0.005644 Loss_D_real: -0.011363 Loss_D_fake 0.008619
[1548/5000][245/535][159780] Loss_D: -0.019637 Loss_G: 0.015742 Loss_D_real: -0.019983 Loss_D_fake -0.000346
[1548/5000][250/535][159781] Loss_D: -0.018960 Loss_G: 0.009582 Loss_D_real: -0.022282 Loss_D_fake -0.003323
[1548/5000][255/535][159782] Loss_D: -0.019648 Loss_G: -0.005695 Loss_D_real: -0.000665 Loss_D_fake 0.018983
[1548/5000][260/535][159783] Loss_D: -0.019378 Loss_G: 0.012836 Loss_D_real: -0.029967 Loss_D_fake -0.010589
[1548/5000][265/535][159784] Loss_D: -0.018011 Loss_G: 0.004509 Loss_D_real: -0.019080 Loss_D_fake -0.001069
[1548/5000][270/535][159785] Loss_D: -0.019666 Loss_G: -0.000609 Loss_D_real: -0.018669 Loss_D_fake 0.000997
[1548/5000][275/535][159786] Loss_D: -0.020189 Loss_G: 0.015390 Loss_D_real: -0.017246 Loss_D_fake 0.002943
[1548/5000][280/535][159787] Loss_D: -0.020756 Loss_G: 0.004033 Loss_D_real: -0.009419 Loss_D_fake 0.011337
[1548/5000][285/535][159788] Loss_D: -0.019893 Loss_G: 0.012480 Loss_D_real: -0.015852 Loss_D_fake 0.004040
[1548/5000][290/535][159789] Loss_D: -0.021515 Loss_G: 0.018247 Loss_D_real: -0.016397 Loss_D_fake 0.005118
[1548/5000][295/535][159790] Loss_D: -0.020030 Loss_G: 0.003682 Loss_D_real: -0.016053 Loss_D_fake 0.003977
[1548/5000][300/535][159791] Loss_D: -0.019440 Loss_G: 0.011675 Loss_D_real: -0.017963 Loss_D_fake 0.001477
[1548/5000][305/535][159792] Loss_D: -0.019193 Loss_G: 0.004765 Loss_D_real: -0.005248 Loss_D_fake 0.013945
[1548/5000][310/535][159793] Loss_D: -0.018759 Loss_G: 0.018578 Loss_D_real: -0.029560 Loss_D_fake -0.010801
[1548/5000][315/535][159794] Loss_D: -0.019810 Loss_G: 0.005651 Loss_D_real: -0.013885 Loss_D_fake 0.005925
[1548/5000][320/535][159795] Loss_D: -0.019332 Loss_G: 0.008079 Loss_D_real: -0.010151 Loss_D_fake 0.009181
[1548/5000][325/535][159796] Loss_D: -0.018580 Loss_G: 0.023705 Loss_D_real: -0.033108 Loss_D_fake -0.014527
[1548/5000][330/535][159797] Loss_D: -0.020909 Loss_G: -0.010075 Loss_D_real: -0.010735 Loss_D_fake 0.010173
[1548/5000][335/535][159798] Loss_D: -0.020376 Loss_G: 0.005337 Loss_D_real: -0.008117 Loss_D_fake 0.012259
[1548/5000][340/535][159799] Loss_D: -0.018968 Loss_G: 0.010068 Loss_D_real: -0.017605 Loss_D_fake 0.001363
[1548/5000][345/535][159800] Loss_D: -0.019783 Loss_G: 0.005410 Loss_D_real: -0.006250 Loss_D_fake 0.013532
[1548/5000][350/535][159801] Loss_D: -0.020620 Loss_G: 0.010073 Loss_D_real: -0.013467 Loss_D_fake 0.007153
[1548/5000][355/535][159802] Loss_D: -0.017576 Loss_G: 0.028775 Loss_D_real: -0.032937 Loss_D_fake -0.015361
[1548/5000][360/535][159803] Loss_D: -0.018833 Loss_G: 0.008076 Loss_D_real: -0.024432 Loss_D_fake -0.005600
[1548/5000][365/535][159804] Loss_D: -0.019764 Loss_G: -0.007358 Loss_D_real: -0.004697 Loss_D_fake 0.015067
[1548/5000][370/535][159805] Loss_D: -0.020418 Loss_G: 0.014842 Loss_D_real: -0.008943 Loss_D_fake 0.011475
[1548/5000][375/535][159806] Loss_D: -0.019131 Loss_G: 0.009362 Loss_D_real: -0.009243 Loss_D_fake 0.009888
[1548/5000][380/535][159807] Loss_D: -0.019603 Loss_G: -0.007182 Loss_D_real: -0.005041 Loss_D_fake 0.014562
[1548/5000][385/535][159808] Loss_D: -0.019803 Loss_G: 0.010858 Loss_D_real: -0.018398 Loss_D_fake 0.001405
[1548/5000][390/535][159809] Loss_D: -0.019673 Loss_G: -0.011259 Loss_D_real: -0.004394 Loss_D_fake 0.015279
[1548/5000][395/535][159810] Loss_D: -0.018201 Loss_G: 0.025084 Loss_D_real: -0.034756 Loss_D_fake -0.016555
[1548/5000][400/535][159811] Loss_D: -0.020504 Loss_G: -0.013987 Loss_D_real: -0.019903 Loss_D_fake 0.000601
[1548/5000][405/535][159812] Loss_D: -0.020177 Loss_G: 0.006076 Loss_D_real: -0.016783 Loss_D_fake 0.003395
[1548/5000][410/535][159813] Loss_D: -0.020376 Loss_G: 0.005543 Loss_D_real: -0.018983 Loss_D_fake 0.001393
[1548/5000][415/535][159814] Loss_D: -0.020538 Loss_G: 0.002924 Loss_D_real: -0.001993 Loss_D_fake 0.018545
[1548/5000][420/535][159815] Loss_D: -0.020267 Loss_G: 0.000957 Loss_D_real: -0.010092 Loss_D_fake 0.010175
[1548/5000][425/535][159816] Loss_D: -0.019387 Loss_G: -0.014105 Loss_D_real: -0.003519 Loss_D_fake 0.015868
[1548/5000][430/535][159817] Loss_D: -0.017921 Loss_G: 0.011812 Loss_D_real: -0.022111 Loss_D_fake -0.004189
[1548/5000][435/535][159818] Loss_D: -0.020184 Loss_G: 0.011502 Loss_D_real: -0.006490 Loss_D_fake 0.013694
[1548/5000][440/535][159819] Loss_D: -0.020253 Loss_G: 0.005699 Loss_D_real: -0.017801 Loss_D_fake 0.002452
[1548/5000][445/535][159820] Loss_D: -0.020901 Loss_G: 0.000453 Loss_D_real: -0.009297 Loss_D_fake 0.011604
[1548/5000][450/535][159821] Loss_D: -0.020129 Loss_G: 0.006209 Loss_D_real: -0.012760 Loss_D_fake 0.007369
[1548/5000][455/535][159822] Loss_D: -0.020376 Loss_G: 0.022021 Loss_D_real: -0.019557 Loss_D_fake 0.000819
[1548/5000][460/535][159823] Loss_D: -0.018662 Loss_G: 0.010799 Loss_D_real: -0.019103 Loss_D_fake -0.000442
[1548/5000][465/535][159824] Loss_D: -0.019554 Loss_G: 0.013685 Loss_D_real: -0.026732 Loss_D_fake -0.007178
[1548/5000][470/535][159825] Loss_D: -0.019520 Loss_G: -0.002320 Loss_D_real: -0.016593 Loss_D_fake 0.002927
[1548/5000][475/535][159826] Loss_D: -0.018623 Loss_G: 0.000361 Loss_D_real: -0.011454 Loss_D_fake 0.007169
[1548/5000][480/535][159827] Loss_D: -0.019822 Loss_G: 0.003452 Loss_D_real: -0.015601 Loss_D_fake 0.004221
[1548/5000][485/535][159828] Loss_D: -0.019550 Loss_G: 0.001549 Loss_D_real: -0.016139 Loss_D_fake 0.003410
[1548/5000][490/535][159829] Loss_D: -0.019460 Loss_G: -0.006984 Loss_D_real: -0.006346 Loss_D_fake 0.013114
[1548/5000][495/535][159830] Loss_D: -0.017911 Loss_G: -0.014504 Loss_D_real: -0.005107 Loss_D_fake 0.012804
[1548/5000][500/535][159831] Loss_D: -0.018560 Loss_G: 0.003499 Loss_D_real: -0.011882 Loss_D_fake 0.006678
[1548/5000][505/535][159832] Loss_D: -0.020311 Loss_G: 0.014354 Loss_D_real: -0.013144 Loss_D_fake 0.007167
[1548/5000][510/535][159833] Loss_D: -0.018439 Loss_G: 0.015827 Loss_D_real: -0.025867 Loss_D_fake -0.007428
[1548/5000][515/535][159834] Loss_D: -0.018760 Loss_G: 0.016250 Loss_D_real: -0.016204 Loss_D_fake 0.002556
[1548/5000][520/535][159835] Loss_D: -0.018783 Loss_G: 0.024652 Loss_D_real: -0.034912 Loss_D_fake -0.016129
[1548/5000][525/535][159836] Loss_D: -0.021500 Loss_G: 0.004103 Loss_D_real: -0.005649 Loss_D_fake 0.015850
[1548/5000][530/535][159837] Loss_D: -0.021051 Loss_G: 0.020581 Loss_D_real: -0.024912 Loss_D_fake -0.003861
[1548/5000][535/535][159838] Loss_D: -0.019312 Loss_G: 0.039068 Loss_D_real: -0.020127 Loss_D_fake -0.000816
[1549/5000][5/535][159839] Loss_D: -0.018346 Loss_G: 0.016537 Loss_D_real: -0.040988 Loss_D_fake -0.022642
[1549/5000][10/535][159840] Loss_D: -0.021192 Loss_G: 0.011898 Loss_D_real: -0.014803 Loss_D_fake 0.006390
[1549/5000][15/535][159841] Loss_D: -0.018392 Loss_G: 0.026911 Loss_D_real: -0.039461 Loss_D_fake -0.021070
[1549/5000][20/535][159842] Loss_D: -0.019952 Loss_G: -0.001097 Loss_D_real: -0.009088 Loss_D_fake 0.010864
[1549/5000][25/535][159843] Loss_D: -0.018954 Loss_G: 0.006560 Loss_D_real: -0.015398 Loss_D_fake 0.003556
[1549/5000][30/535][159844] Loss_D: -0.019410 Loss_G: -0.001331 Loss_D_real: -0.014113 Loss_D_fake 0.005297
[1549/5000][35/535][159845] Loss_D: -0.018825 Loss_G: 0.004517 Loss_D_real: -0.017538 Loss_D_fake 0.001286
[1549/5000][40/535][159846] Loss_D: -0.018438 Loss_G: 0.008803 Loss_D_real: -0.001793 Loss_D_fake 0.016645
[1549/5000][45/535][159847] Loss_D: -0.019040 Loss_G: 0.016407 Loss_D_real: -0.037238 Loss_D_fake -0.018197
[1549/5000][50/535][159848] Loss_D: -0.020671 Loss_G: 0.006951 Loss_D_real: -0.001065 Loss_D_fake 0.019606
[1549/5000][55/535][159849] Loss_D: -0.018558 Loss_G: 0.004431 Loss_D_real: -0.020724 Loss_D_fake -0.002166
[1549/5000][60/535][159850] Loss_D: -0.020549 Loss_G: -0.000641 Loss_D_real: -0.026214 Loss_D_fake -0.005665
[1549/5000][65/535][159851] Loss_D: -0.019745 Loss_G: 0.011465 Loss_D_real: -0.015217 Loss_D_fake 0.004529
[1549/5000][70/535][159852] Loss_D: -0.018614 Loss_G: 0.013549 Loss_D_real: -0.024834 Loss_D_fake -0.006220
[1549/5000][75/535][159853] Loss_D: -0.018993 Loss_G: 0.003247 Loss_D_real: -0.016459 Loss_D_fake 0.002533
[1549/5000][80/535][159854] Loss_D: -0.019556 Loss_G: 0.009720 Loss_D_real: -0.021462 Loss_D_fake -0.001906
[1549/5000][85/535][159855] Loss_D: -0.019005 Loss_G: 0.020124 Loss_D_real: -0.023269 Loss_D_fake -0.004263
[1549/5000][90/535][159856] Loss_D: -0.018578 Loss_G: 0.016944 Loss_D_real: -0.024443 Loss_D_fake -0.005864
[1549/5000][95/535][159857] Loss_D: -0.019959 Loss_G: 0.013710 Loss_D_real: -0.004836 Loss_D_fake 0.015123
[1549/5000][100/535][159858] Loss_D: -0.018992 Loss_G: -0.002359 Loss_D_real: -0.005020 Loss_D_fake 0.013971
[1549/5000][105/535][159859] Loss_D: -0.019516 Loss_G: 0.020134 Loss_D_real: -0.015492 Loss_D_fake 0.004024
[1549/5000][110/535][159860] Loss_D: -0.018230 Loss_G: 0.004561 Loss_D_real: -0.011081 Loss_D_fake 0.007149
[1549/5000][115/535][159861] Loss_D: -0.019524 Loss_G: 0.003573 Loss_D_real: -0.016588 Loss_D_fake 0.002936
[1549/5000][120/535][159862] Loss_D: -0.019477 Loss_G: 0.010400 Loss_D_real: -0.022929 Loss_D_fake -0.003452
[1549/5000][125/535][159863] Loss_D: -0.018230 Loss_G: -0.006949 Loss_D_real: -0.002022 Loss_D_fake 0.016208
[1549/5000][130/535][159864] Loss_D: -0.019416 Loss_G: 0.016647 Loss_D_real: -0.016285 Loss_D_fake 0.003131
[1549/5000][135/535][159865] Loss_D: -0.019183 Loss_G: 0.019962 Loss_D_real: -0.020458 Loss_D_fake -0.001276
[1549/5000][140/535][159866] Loss_D: -0.020388 Loss_G: 0.002539 Loss_D_real: -0.004133 Loss_D_fake 0.016255
[1549/5000][145/535][159867] Loss_D: -0.018586 Loss_G: 0.018071 Loss_D_real: -0.030469 Loss_D_fake -0.011883
[1549/5000][150/535][159868] Loss_D: -0.020033 Loss_G: 0.010305 Loss_D_real: -0.021512 Loss_D_fake -0.001480
[1549/5000][155/535][159869] Loss_D: -0.019454 Loss_G: 0.003567 Loss_D_real: -0.026408 Loss_D_fake -0.006953
[1549/5000][160/535][159870] Loss_D: -0.021019 Loss_G: 0.012567 Loss_D_real: -0.003589 Loss_D_fake 0.017430
[1549/5000][165/535][159871] Loss_D: -0.020899 Loss_G: -0.002522 Loss_D_real: -0.009037 Loss_D_fake 0.011861
[1549/5000][170/535][159872] Loss_D: -0.019201 Loss_G: 0.006480 Loss_D_real: -0.008527 Loss_D_fake 0.010674
[1549/5000][175/535][159873] Loss_D: -0.021435 Loss_G: -0.011144 Loss_D_real: -0.016048 Loss_D_fake 0.005388
[1549/5000][180/535][159874] Loss_D: -0.019376 Loss_G: 0.003421 Loss_D_real: -0.003794 Loss_D_fake 0.015582
[1549/5000][185/535][159875] Loss_D: -0.019848 Loss_G: 0.028001 Loss_D_real: -0.017249 Loss_D_fake 0.002599
[1549/5000][190/535][159876] Loss_D: -0.019202 Loss_G: 0.008428 Loss_D_real: -0.025285 Loss_D_fake -0.006083
[1549/5000][195/535][159877] Loss_D: -0.019152 Loss_G: 0.002683 Loss_D_real: -0.008025 Loss_D_fake 0.011127
[1549/5000][200/535][159878] Loss_D: -0.020459 Loss_G: 0.011186 Loss_D_real: -0.026910 Loss_D_fake -0.006451
[1549/5000][205/535][159879] Loss_D: -0.020076 Loss_G: -0.002434 Loss_D_real: -0.027409 Loss_D_fake -0.007333
[1549/5000][210/535][159880] Loss_D: -0.019303 Loss_G: -0.002659 Loss_D_real: -0.012300 Loss_D_fake 0.007003
[1549/5000][215/535][159881] Loss_D: -0.021160 Loss_G: 0.017859 Loss_D_real: -0.024804 Loss_D_fake -0.003644
[1549/5000][220/535][159882] Loss_D: -0.020497 Loss_G: -0.000170 Loss_D_real: -0.012930 Loss_D_fake 0.007567
[1549/5000][225/535][159883] Loss_D: -0.020214 Loss_G: 0.012074 Loss_D_real: -0.015277 Loss_D_fake 0.004937
[1549/5000][230/535][159884] Loss_D: -0.018422 Loss_G: 0.016983 Loss_D_real: -0.023769 Loss_D_fake -0.005347
[1549/5000][235/535][159885] Loss_D: -0.019917 Loss_G: 0.003395 Loss_D_real: -0.005842 Loss_D_fake 0.014075
[1549/5000][240/535][159886] Loss_D: -0.019692 Loss_G: 0.008475 Loss_D_real: -0.024236 Loss_D_fake -0.004544
[1549/5000][245/535][159887] Loss_D: -0.019590 Loss_G: 0.019725 Loss_D_real: -0.028978 Loss_D_fake -0.009388
[1549/5000][250/535][159888] Loss_D: -0.019471 Loss_G: -0.006994 Loss_D_real: -0.008875 Loss_D_fake 0.010596
[1549/5000][255/535][159889] Loss_D: -0.018971 Loss_G: 0.002848 Loss_D_real: -0.007169 Loss_D_fake 0.011802
[1549/5000][260/535][159890] Loss_D: -0.020619 Loss_G: 0.004674 Loss_D_real: -0.013060 Loss_D_fake 0.007559
[1549/5000][265/535][159891] Loss_D: -0.019161 Loss_G: -0.007468 Loss_D_real: 0.001316 Loss_D_fake 0.020477
[1549/5000][270/535][159892] Loss_D: -0.019821 Loss_G: 0.009170 Loss_D_real: -0.023512 Loss_D_fake -0.003690
[1549/5000][275/535][159893] Loss_D: -0.020211 Loss_G: 0.020223 Loss_D_real: -0.023844 Loss_D_fake -0.003634
[1549/5000][280/535][159894] Loss_D: -0.019723 Loss_G: 0.017703 Loss_D_real: -0.012622 Loss_D_fake 0.007102
[1549/5000][285/535][159895] Loss_D: -0.021075 Loss_G: 0.010486 Loss_D_real: -0.032301 Loss_D_fake -0.011227
[1549/5000][290/535][159896] Loss_D: -0.018722 Loss_G: 0.014373 Loss_D_real: -0.030623 Loss_D_fake -0.011901
[1549/5000][295/535][159897] Loss_D: -0.019997 Loss_G: -0.024197 Loss_D_real: -0.008454 Loss_D_fake 0.011543
[1549/5000][300/535][159898] Loss_D: -0.019387 Loss_G: 0.001915 Loss_D_real: -0.008187 Loss_D_fake 0.011199
[1549/5000][305/535][159899] Loss_D: -0.019828 Loss_G: -0.003373 Loss_D_real: -0.007511 Loss_D_fake 0.012317
[1549/5000][310/535][159900] Loss_D: -0.019092 Loss_G: 0.013900 Loss_D_real: -0.021552 Loss_D_fake -0.002460
[1549/5000][315/535][159901] Loss_D: -0.018409 Loss_G: 0.019078 Loss_D_real: -0.028142 Loss_D_fake -0.009733
[1549/5000][320/535][159902] Loss_D: -0.019702 Loss_G: 0.004478 Loss_D_real: -0.005706 Loss_D_fake 0.013997
[1549/5000][325/535][159903] Loss_D: -0.019697 Loss_G: 0.015861 Loss_D_real: -0.022784 Loss_D_fake -0.003087
[1549/5000][330/535][159904] Loss_D: -0.018969 Loss_G: 0.001122 Loss_D_real: -0.011441 Loss_D_fake 0.007528
[1549/5000][335/535][159905] Loss_D: -0.017779 Loss_G: 0.023825 Loss_D_real: -0.026839 Loss_D_fake -0.009060
[1549/5000][340/535][159906] Loss_D: -0.017993 Loss_G: 0.023604 Loss_D_real: -0.028609 Loss_D_fake -0.010616
[1549/5000][345/535][159907] Loss_D: -0.018866 Loss_G: -0.014940 Loss_D_real: -0.006734 Loss_D_fake 0.012132
[1549/5000][350/535][159908] Loss_D: -0.019897 Loss_G: 0.025743 Loss_D_real: -0.013995 Loss_D_fake 0.005902
[1549/5000][355/535][159909] Loss_D: -0.019609 Loss_G: -0.000429 Loss_D_real: -0.008616 Loss_D_fake 0.010993
[1549/5000][360/535][159910] Loss_D: -0.019458 Loss_G: 0.017660 Loss_D_real: -0.031048 Loss_D_fake -0.011590
[1549/5000][365/535][159911] Loss_D: -0.020886 Loss_G: 0.007564 Loss_D_real: -0.004571 Loss_D_fake 0.016315
[1549/5000][370/535][159912] Loss_D: -0.019854 Loss_G: 0.004844 Loss_D_real: -0.013600 Loss_D_fake 0.006255
[1549/5000][375/535][159913] Loss_D: -0.019126 Loss_G: 0.010522 Loss_D_real: -0.006439 Loss_D_fake 0.012687
[1549/5000][380/535][159914] Loss_D: -0.019096 Loss_G: -0.005829 Loss_D_real: 0.002325 Loss_D_fake 0.021421
[1549/5000][385/535][159915] Loss_D: -0.019449 Loss_G: -0.002082 Loss_D_real: -0.019716 Loss_D_fake -0.000267
[1549/5000][390/535][159916] Loss_D: -0.019694 Loss_G: 0.010857 Loss_D_real: -0.013769 Loss_D_fake 0.005924
[1549/5000][395/535][159917] Loss_D: -0.021311 Loss_G: -0.001022 Loss_D_real: -0.011346 Loss_D_fake 0.009965
[1549/5000][400/535][159918] Loss_D: -0.020245 Loss_G: 0.004564 Loss_D_real: -0.006114 Loss_D_fake 0.014131
[1549/5000][405/535][159919] Loss_D: -0.018646 Loss_G: -0.003219 Loss_D_real: -0.001856 Loss_D_fake 0.016790
[1549/5000][410/535][159920] Loss_D: -0.018997 Loss_G: 0.017763 Loss_D_real: -0.014928 Loss_D_fake 0.004068
[1549/5000][415/535][159921] Loss_D: -0.020588 Loss_G: 0.006522 Loss_D_real: -0.022485 Loss_D_fake -0.001898
[1549/5000][420/535][159922] Loss_D: -0.020860 Loss_G: 0.018593 Loss_D_real: -0.020305 Loss_D_fake 0.000555
[1549/5000][425/535][159923] Loss_D: -0.018539 Loss_G: -0.018737 Loss_D_real: -0.003796 Loss_D_fake 0.014743
[1549/5000][430/535][159924] Loss_D: -0.019690 Loss_G: 0.007384 Loss_D_real: -0.025234 Loss_D_fake -0.005544
[1549/5000][435/535][159925] Loss_D: -0.018722 Loss_G: 0.006464 Loss_D_real: -0.016298 Loss_D_fake 0.002424
[1549/5000][440/535][159926] Loss_D: -0.019427 Loss_G: -0.002112 Loss_D_real: -0.014465 Loss_D_fake 0.004962
[1549/5000][445/535][159927] Loss_D: -0.018883 Loss_G: 0.003163 Loss_D_real: -0.016816 Loss_D_fake 0.002067
[1549/5000][450/535][159928] Loss_D: -0.019002 Loss_G: 0.018852 Loss_D_real: -0.017657 Loss_D_fake 0.001346
[1549/5000][455/535][159929] Loss_D: -0.018845 Loss_G: -0.002539 Loss_D_real: -0.013821 Loss_D_fake 0.005024
[1549/5000][460/535][159930] Loss_D: -0.019690 Loss_G: 0.015274 Loss_D_real: -0.018238 Loss_D_fake 0.001452
[1549/5000][465/535][159931] Loss_D: -0.017887 Loss_G: 0.025038 Loss_D_real: -0.026604 Loss_D_fake -0.008717
[1549/5000][470/535][159932] Loss_D: -0.019855 Loss_G: -0.006399 Loss_D_real: -0.015485 Loss_D_fake 0.004371
[1549/5000][475/535][159933] Loss_D: -0.020041 Loss_G: 0.002702 Loss_D_real: -0.014568 Loss_D_fake 0.005473
[1549/5000][480/535][159934] Loss_D: -0.019959 Loss_G: 0.004893 Loss_D_real: -0.013757 Loss_D_fake 0.006202
[1549/5000][485/535][159935] Loss_D: -0.020973 Loss_G: 0.010564 Loss_D_real: -0.013224 Loss_D_fake 0.007749
[1549/5000][490/535][159936] Loss_D: -0.018950 Loss_G: 0.016126 Loss_D_real: -0.022420 Loss_D_fake -0.003471
[1549/5000][495/535][159937] Loss_D: -0.019221 Loss_G: 0.022160 Loss_D_real: -0.030913 Loss_D_fake -0.011692
[1549/5000][500/535][159938] Loss_D: -0.019615 Loss_G: 0.009123 Loss_D_real: -0.006596 Loss_D_fake 0.013019
[1549/5000][505/535][159939] Loss_D: -0.019220 Loss_G: -0.007132 Loss_D_real: -0.010032 Loss_D_fake 0.009187
[1549/5000][510/535][159940] Loss_D: -0.020095 Loss_G: 0.007597 Loss_D_real: -0.022730 Loss_D_fake -0.002635
[1549/5000][515/535][159941] Loss_D: -0.020451 Loss_G: 0.002310 Loss_D_real: -0.010601 Loss_D_fake 0.009851
[1549/5000][520/535][159942] Loss_D: -0.019580 Loss_G: 0.011616 Loss_D_real: -0.019042 Loss_D_fake 0.000539
[1549/5000][525/535][159943] Loss_D: -0.019927 Loss_G: -0.009153 Loss_D_real: -0.007370 Loss_D_fake 0.012556
[1549/5000][530/535][159944] Loss_D: -0.019844 Loss_G: 0.026217 Loss_D_real: -0.022232 Loss_D_fake -0.002388
[1549/5000][535/535][159945] Loss_D: -0.016071 Loss_G: 0.032560 Loss_D_real: -0.016013 Loss_D_fake 0.000058
[1550/5000][5/535][159946] Loss_D: -0.020311 Loss_G: -0.003307 Loss_D_real: -0.013724 Loss_D_fake 0.006587
[1550/5000][10/535][159947] Loss_D: -0.019606 Loss_G: 0.015550 Loss_D_real: -0.021349 Loss_D_fake -0.001742
[1550/5000][15/535][159948] Loss_D: -0.019255 Loss_G: 0.015070 Loss_D_real: -0.028353 Loss_D_fake -0.009098
[1550/5000][20/535][159949] Loss_D: -0.019543 Loss_G: -0.010094 Loss_D_real: 0.008175 Loss_D_fake 0.027718
[1550/5000][25/535][159950] Loss_D: -0.019218 Loss_G: 0.003200 Loss_D_real: -0.003002 Loss_D_fake 0.016216
[1550/5000][30/535][159951] Loss_D: -0.020322 Loss_G: 0.004378 Loss_D_real: -0.012102 Loss_D_fake 0.008220
[1550/5000][35/535][159952] Loss_D: -0.019494 Loss_G: 0.014367 Loss_D_real: -0.018720 Loss_D_fake 0.000775
[1550/5000][40/535][159953] Loss_D: -0.020686 Loss_G: 0.010259 Loss_D_real: -0.007625 Loss_D_fake 0.013062
[1550/5000][45/535][159954] Loss_D: -0.019366 Loss_G: -0.005226 Loss_D_real: -0.006037 Loss_D_fake 0.013330
[1550/5000][50/535][159955] Loss_D: -0.018957 Loss_G: 0.010390 Loss_D_real: -0.006053 Loss_D_fake 0.012904
[1550/5000][55/535][159956] Loss_D: -0.019575 Loss_G: 0.000854 Loss_D_real: -0.008586 Loss_D_fake 0.010990
[1550/5000][60/535][159957] Loss_D: -0.020064 Loss_G: 0.025914 Loss_D_real: -0.031824 Loss_D_fake -0.011761
[1550/5000][65/535][159958] Loss_D: -0.020650 Loss_G: 0.012803 Loss_D_real: -0.021946 Loss_D_fake -0.001296
[1550/5000][70/535][159959] Loss_D: -0.019332 Loss_G: 0.011786 Loss_D_real: -0.011670 Loss_D_fake 0.007661
[1550/5000][75/535][159960] Loss_D: -0.019937 Loss_G: 0.000079 Loss_D_real: -0.017660 Loss_D_fake 0.002277
[1550/5000][80/535][159961] Loss_D: -0.018897 Loss_G: 0.027572 Loss_D_real: -0.026838 Loss_D_fake -0.007941
[1550/5000][85/535][159962] Loss_D: -0.019273 Loss_G: 0.016023 Loss_D_real: -0.022906 Loss_D_fake -0.003633
[1550/5000][90/535][159963] Loss_D: -0.018969 Loss_G: 0.015224 Loss_D_real: -0.026165 Loss_D_fake -0.007196
[1550/5000][95/535][159964] Loss_D: -0.018656 Loss_G: -0.007895 Loss_D_real: -0.008897 Loss_D_fake 0.009759
[1550/5000][100/535][159965] Loss_D: -0.018872 Loss_G: 0.000062 Loss_D_real: -0.010292 Loss_D_fake 0.008580
[1550/5000][105/535][159966] Loss_D: -0.018844 Loss_G: 0.020500 Loss_D_real: -0.020151 Loss_D_fake -0.001306
[1550/5000][110/535][159967] Loss_D: -0.018360 Loss_G: 0.001354 Loss_D_real: -0.015313 Loss_D_fake 0.003047
[1550/5000][115/535][159968] Loss_D: -0.018806 Loss_G: 0.003162 Loss_D_real: -0.009536 Loss_D_fake 0.009271
[1550/5000][120/535][159969] Loss_D: -0.019736 Loss_G: 0.013695 Loss_D_real: -0.023045 Loss_D_fake -0.003309
[1550/5000][125/535][159970] Loss_D: -0.019598 Loss_G: 0.011357 Loss_D_real: -0.016033 Loss_D_fake 0.003565
[1550/5000][130/535][159971] Loss_D: -0.020199 Loss_G: -0.003283 Loss_D_real: -0.013509 Loss_D_fake 0.006690
[1550/5000][135/535][159972] Loss_D: -0.018509 Loss_G: 0.018816 Loss_D_real: -0.027087 Loss_D_fake -0.008579
[1550/5000][140/535][159973] Loss_D: -0.019477 Loss_G: 0.019812 Loss_D_real: -0.027156 Loss_D_fake -0.007679
[1550/5000][145/535][159974] Loss_D: -0.019368 Loss_G: 0.004596 Loss_D_real: -0.011694 Loss_D_fake 0.007674
[1550/5000][150/535][159975] Loss_D: -0.020108 Loss_G: 0.003165 Loss_D_real: -0.000550 Loss_D_fake 0.019557
[1550/5000][155/535][159976] Loss_D: -0.019580 Loss_G: -0.009057 Loss_D_real: -0.013905 Loss_D_fake 0.005675
[1550/5000][160/535][159977] Loss_D: -0.019901 Loss_G: -0.002764 Loss_D_real: -0.007538 Loss_D_fake 0.012363
[1550/5000][165/535][159978] Loss_D: -0.019297 Loss_G: 0.000222 Loss_D_real: -0.011090 Loss_D_fake 0.008208
[1550/5000][170/535][159979] Loss_D: -0.020284 Loss_G: 0.013947 Loss_D_real: 0.000545 Loss_D_fake 0.020829
[1550/5000][175/535][159980] Loss_D: -0.018543 Loss_G: -0.005067 Loss_D_real: -0.006339 Loss_D_fake 0.012203
[1550/5000][180/535][159981] Loss_D: -0.019870 Loss_G: -0.000093 Loss_D_real: 0.005520 Loss_D_fake 0.025390
[1550/5000][185/535][159982] Loss_D: -0.019859 Loss_G: 0.011537 Loss_D_real: -0.019235 Loss_D_fake 0.000623
[1550/5000][190/535][159983] Loss_D: -0.018657 Loss_G: -0.001503 Loss_D_real: -0.015583 Loss_D_fake 0.003074
[1550/5000][195/535][159984] Loss_D: -0.018595 Loss_G: -0.007087 Loss_D_real: 0.002291 Loss_D_fake 0.020886
[1550/5000][200/535][159985] Loss_D: -0.018614 Loss_G: 0.012242 Loss_D_real: -0.014929 Loss_D_fake 0.003685
[1550/5000][205/535][159986] Loss_D: -0.020858 Loss_G: 0.019004 Loss_D_real: -0.017915 Loss_D_fake 0.002943
[1550/5000][210/535][159987] Loss_D: -0.021118 Loss_G: -0.002271 Loss_D_real: 0.004222 Loss_D_fake 0.025340
[1550/5000][215/535][159988] Loss_D: -0.019510 Loss_G: 0.010087 Loss_D_real: -0.017707 Loss_D_fake 0.001802
[1550/5000][220/535][159989] Loss_D: -0.019984 Loss_G: 0.014998 Loss_D_real: -0.027352 Loss_D_fake -0.007367
[1550/5000][225/535][159990] Loss_D: -0.019935 Loss_G: 0.009970 Loss_D_real: -0.008436 Loss_D_fake 0.011500
[1550/5000][230/535][159991] Loss_D: -0.020011 Loss_G: 0.014972 Loss_D_real: -0.013689 Loss_D_fake 0.006322
[1550/5000][235/535][159992] Loss_D: -0.021611 Loss_G: -0.004355 Loss_D_real: -0.019046 Loss_D_fake 0.002564
[1550/5000][240/535][159993] Loss_D: -0.019785 Loss_G: 0.002590 Loss_D_real: -0.017077 Loss_D_fake 0.002708
[1550/5000][245/535][159994] Loss_D: -0.019923 Loss_G: 0.014174 Loss_D_real: -0.025507 Loss_D_fake -0.005584
[1550/5000][250/535][159995] Loss_D: -0.020878 Loss_G: 0.001650 Loss_D_real: -0.018256 Loss_D_fake 0.002623
[1550/5000][255/535][159996] Loss_D: -0.020057 Loss_G: 0.019231 Loss_D_real: -0.027065 Loss_D_fake -0.007008
[1550/5000][260/535][159997] Loss_D: -0.020830 Loss_G: 0.003236 Loss_D_real: -0.005945 Loss_D_fake 0.014885
[1550/5000][265/535][159998] Loss_D: -0.020108 Loss_G: -0.010375 Loss_D_real: 0.002011 Loss_D_fake 0.022119
[1550/5000][270/535][159999] Loss_D: -0.020380 Loss_G: 0.006172 Loss_D_real: -0.017762 Loss_D_fake 0.002618
[1550/5000][275/535][160000] Loss_D: -0.018566 Loss_G: 0.018014 Loss_D_real: -0.022459 Loss_D_fake -0.003894
[1550/5000][375/535][160001] Loss_D: -0.022639 Loss_G: 0.022906 Loss_D_real: -0.038889 Loss_D_fake -0.016250
[1550/5000][380/535][160002] Loss_D: -0.019572 Loss_G: -0.005261 Loss_D_real: -0.006246 Loss_D_fake 0.013326
[1550/5000][385/535][160003] Loss_D: -0.017975 Loss_G: 0.006239 Loss_D_real: -0.023448 Loss_D_fake -0.005472
[1550/5000][390/535][160004] Loss_D: -0.017803 Loss_G: 0.003050 Loss_D_real: -0.014406 Loss_D_fake 0.003397
[1550/5000][395/535][160005] Loss_D: -0.017139 Loss_G: -0.013191 Loss_D_real: -0.012185 Loss_D_fake 0.004954
[1550/5000][400/535][160006] Loss_D: -0.017466 Loss_G: 0.025734 Loss_D_real: -0.020401 Loss_D_fake -0.002935
[1550/5000][405/535][160007] Loss_D: -0.018762 Loss_G: 0.013029 Loss_D_real: -0.025641 Loss_D_fake -0.006879
[1550/5000][410/535][160008] Loss_D: -0.018902 Loss_G: 0.001038 Loss_D_real: -0.019097 Loss_D_fake -0.000195
[1550/5000][415/535][160009] Loss_D: -0.019417 Loss_G: -0.009409 Loss_D_real: -0.011814 Loss_D_fake 0.007603
[1550/5000][420/535][160010] Loss_D: -0.019434 Loss_G: 0.008805 Loss_D_real: -0.024164 Loss_D_fake -0.004730
[1550/5000][425/535][160011] Loss_D: -0.019800 Loss_G: 0.008530 Loss_D_real: -0.009878 Loss_D_fake 0.009922
[1550/5000][430/535][160012] Loss_D: -0.018482 Loss_G: -0.004783 Loss_D_real: -0.007796 Loss_D_fake 0.010686
[1550/5000][435/535][160013] Loss_D: -0.018124 Loss_G: 0.013470 Loss_D_real: -0.014577 Loss_D_fake 0.003547
[1550/5000][440/535][160014] Loss_D: -0.018562 Loss_G: 0.020672 Loss_D_real: -0.025129 Loss_D_fake -0.006566
[1550/5000][445/535][160015] Loss_D: -0.017857 Loss_G: -0.006039 Loss_D_real: -0.007298 Loss_D_fake 0.010559
[1550/5000][450/535][160016] Loss_D: -0.018345 Loss_G: 0.016279 Loss_D_real: -0.022370 Loss_D_fake -0.004024
[1550/5000][455/535][160017] Loss_D: -0.018129 Loss_G: 0.015971 Loss_D_real: -0.021488 Loss_D_fake -0.003359
[1550/5000][460/535][160018] Loss_D: -0.018724 Loss_G: 0.001607 Loss_D_real: -0.000059 Loss_D_fake 0.018665
[1550/5000][465/535][160019] Loss_D: -0.018545 Loss_G: 0.001057 Loss_D_real: -0.011931 Loss_D_fake 0.006614
[1550/5000][470/535][160020] Loss_D: -0.018664 Loss_G: 0.012780 Loss_D_real: -0.006415 Loss_D_fake 0.012249
[1550/5000][475/535][160021] Loss_D: -0.018984 Loss_G: 0.016640 Loss_D_real: -0.016788 Loss_D_fake 0.002197
[1550/5000][480/535][160022] Loss_D: -0.021296 Loss_G: -0.013514 Loss_D_real: -0.009556 Loss_D_fake 0.011740
[1550/5000][485/535][160023] Loss_D: -0.020304 Loss_G: 0.006449 Loss_D_real: -0.008660 Loss_D_fake 0.011645
[1550/5000][490/535][160024] Loss_D: -0.019438 Loss_G: -0.010138 Loss_D_real: 0.003443 Loss_D_fake 0.022881
[1550/5000][495/535][160025] Loss_D: -0.019179 Loss_G: 0.011609 Loss_D_real: -0.004429 Loss_D_fake 0.014751
[1550/5000][500/535][160026] Loss_D: -0.020022 Loss_G: 0.008842 Loss_D_real: -0.018441 Loss_D_fake 0.001581
[1550/5000][505/535][160027] Loss_D: -0.020705 Loss_G: 0.018169 Loss_D_real: -0.020905 Loss_D_fake -0.000201
[1550/5000][510/535][160028] Loss_D: -0.019778 Loss_G: 0.002667 Loss_D_real: -0.013224 Loss_D_fake 0.006554
[1550/5000][515/535][160029] Loss_D: -0.020171 Loss_G: 0.011365 Loss_D_real: -0.016400 Loss_D_fake 0.003771
[1550/5000][520/535][160030] Loss_D: -0.019541 Loss_G: -0.014839 Loss_D_real: -0.007578 Loss_D_fake 0.011964
[1550/5000][525/535][160031] Loss_D: -0.018803 Loss_G: 0.032832 Loss_D_real: -0.024084 Loss_D_fake -0.005281
[1550/5000][530/535][160032] Loss_D: -0.019475 Loss_G: 0.011888 Loss_D_real: -0.032513 Loss_D_fake -0.013038
[1550/5000][535/535][160033] Loss_D: -0.019503 Loss_G: 0.016305 Loss_D_real: -0.005872 Loss_D_fake 0.013631
[1551/5000][5/535][160034] Loss_D: -0.019986 Loss_G: 0.000463 Loss_D_real: -0.010488 Loss_D_fake 0.009498
[1551/5000][10/535][160035] Loss_D: -0.020249 Loss_G: 0.011436 Loss_D_real: -0.018077 Loss_D_fake 0.002172
[1551/5000][15/535][160036] Loss_D: -0.018406 Loss_G: 0.017936 Loss_D_real: -0.029518 Loss_D_fake -0.011112
[1551/5000][20/535][160037] Loss_D: -0.021097 Loss_G: -0.016242 Loss_D_real: -0.010548 Loss_D_fake 0.010549
[1551/5000][25/535][160038] Loss_D: -0.019561 Loss_G: 0.007033 Loss_D_real: -0.008102 Loss_D_fake 0.011460
[1551/5000][30/535][160039] Loss_D: -0.019706 Loss_G: 0.005879 Loss_D_real: -0.001215 Loss_D_fake 0.018491
[1551/5000][35/535][160040] Loss_D: -0.021203 Loss_G: -0.003396 Loss_D_real: -0.021814 Loss_D_fake -0.000611
[1551/5000][40/535][160041] Loss_D: -0.020308 Loss_G: 0.006624 Loss_D_real: -0.011397 Loss_D_fake 0.008911
[1551/5000][45/535][160042] Loss_D: -0.020694 Loss_G: 0.017875 Loss_D_real: -0.010873 Loss_D_fake 0.009820
[1551/5000][50/535][160043] Loss_D: -0.019933 Loss_G: -0.016282 Loss_D_real: -0.010396 Loss_D_fake 0.009537
[1551/5000][55/535][160044] Loss_D: -0.019174 Loss_G: 0.021575 Loss_D_real: -0.014646 Loss_D_fake 0.004528
[1551/5000][60/535][160045] Loss_D: -0.020111 Loss_G: 0.006755 Loss_D_real: -0.013646 Loss_D_fake 0.006465
[1551/5000][65/535][160046] Loss_D: -0.019437 Loss_G: 0.035920 Loss_D_real: -0.026926 Loss_D_fake -0.007490
[1551/5000][70/535][160047] Loss_D: -0.018270 Loss_G: 0.003205 Loss_D_real: -0.012636 Loss_D_fake 0.005633
[1551/5000][75/535][160048] Loss_D: -0.021118 Loss_G: 0.001345 Loss_D_real: -0.019704 Loss_D_fake 0.001413
[1551/5000][80/535][160049] Loss_D: -0.018170 Loss_G: 0.013304 Loss_D_real: -0.018351 Loss_D_fake -0.000181
[1551/5000][85/535][160050] Loss_D: -0.018685 Loss_G: -0.006451 Loss_D_real: -0.003901 Loss_D_fake 0.014784
[1551/5000][90/535][160051] Loss_D: -0.019156 Loss_G: -0.000924 Loss_D_real: -0.017282 Loss_D_fake 0.001874
[1551/5000][95/535][160052] Loss_D: -0.019464 Loss_G: 0.002309 Loss_D_real: -0.013205 Loss_D_fake 0.006259
[1551/5000][100/535][160053] Loss_D: -0.017731 Loss_G: 0.026926 Loss_D_real: -0.030757 Loss_D_fake -0.013026
[1551/5000][105/535][160054] Loss_D: -0.018914 Loss_G: 0.018073 Loss_D_real: -0.024210 Loss_D_fake -0.005296
[1551/5000][110/535][160055] Loss_D: -0.020018 Loss_G: -0.009494 Loss_D_real: 0.007273 Loss_D_fake 0.027291
[1551/5000][115/535][160056] Loss_D: -0.019153 Loss_G: 0.006858 Loss_D_real: -0.000200 Loss_D_fake 0.018953
[1551/5000][120/535][160057] Loss_D: -0.019298 Loss_G: 0.005813 Loss_D_real: -0.008083 Loss_D_fake 0.011215
[1551/5000][125/535][160058] Loss_D: -0.019557 Loss_G: 0.009529 Loss_D_real: -0.021062 Loss_D_fake -0.001505
[1551/5000][130/535][160059] Loss_D: -0.020443 Loss_G: 0.010049 Loss_D_real: -0.000018 Loss_D_fake 0.020425
[1551/5000][135/535][160060] Loss_D: -0.021156 Loss_G: 0.013418 Loss_D_real: -0.019948 Loss_D_fake 0.001207
[1551/5000][140/535][160061] Loss_D: -0.019276 Loss_G: -0.009512 Loss_D_real: -0.001706 Loss_D_fake 0.017571
[1551/5000][145/535][160062] Loss_D: -0.017594 Loss_G: 0.013578 Loss_D_real: -0.019137 Loss_D_fake -0.001543
[1551/5000][150/535][160063] Loss_D: -0.019912 Loss_G: -0.005873 Loss_D_real: -0.014868 Loss_D_fake 0.005044
[1551/5000][155/535][160064] Loss_D: -0.018663 Loss_G: 0.013903 Loss_D_real: -0.016436 Loss_D_fake 0.002227
[1551/5000][160/535][160065] Loss_D: -0.019309 Loss_G: 0.005237 Loss_D_real: -0.021929 Loss_D_fake -0.002621
[1551/5000][165/535][160066] Loss_D: -0.018729 Loss_G: -0.008372 Loss_D_real: 0.002848 Loss_D_fake 0.021577
[1551/5000][170/535][160067] Loss_D: -0.019884 Loss_G: 0.021100 Loss_D_real: -0.015633 Loss_D_fake 0.004250
[1551/5000][175/535][160068] Loss_D: -0.019060 Loss_G: 0.002566 Loss_D_real: -0.008910 Loss_D_fake 0.010150
[1551/5000][180/535][160069] Loss_D: -0.017604 Loss_G: 0.016585 Loss_D_real: -0.018632 Loss_D_fake -0.001028
[1551/5000][185/535][160070] Loss_D: -0.018701 Loss_G: -0.008133 Loss_D_real: -0.005862 Loss_D_fake 0.012838
[1551/5000][190/535][160071] Loss_D: -0.018332 Loss_G: 0.019029 Loss_D_real: -0.029384 Loss_D_fake -0.011052
[1551/5000][195/535][160072] Loss_D: -0.018336 Loss_G: -0.004563 Loss_D_real: 0.001481 Loss_D_fake 0.019817
[1551/5000][200/535][160073] Loss_D: -0.019769 Loss_G: 0.015483 Loss_D_real: -0.015647 Loss_D_fake 0.004122
[1551/5000][205/535][160074] Loss_D: -0.018799 Loss_G: 0.014507 Loss_D_real: -0.020939 Loss_D_fake -0.002140
[1551/5000][210/535][160075] Loss_D: -0.019833 Loss_G: 0.011173 Loss_D_real: -0.018605 Loss_D_fake 0.001229
[1551/5000][215/535][160076] Loss_D: -0.019250 Loss_G: -0.004011 Loss_D_real: -0.020254 Loss_D_fake -0.001004
[1551/5000][220/535][160077] Loss_D: -0.019837 Loss_G: 0.014441 Loss_D_real: -0.022282 Loss_D_fake -0.002445
[1551/5000][225/535][160078] Loss_D: -0.018644 Loss_G: 0.015983 Loss_D_real: -0.019407 Loss_D_fake -0.000763
[1551/5000][230/535][160079] Loss_D: -0.019124 Loss_G: 0.001193 Loss_D_real: -0.003792 Loss_D_fake 0.015331
[1551/5000][235/535][160080] Loss_D: -0.019127 Loss_G: 0.010553 Loss_D_real: -0.026242 Loss_D_fake -0.007115
[1551/5000][240/535][160081] Loss_D: -0.019349 Loss_G: 0.021529 Loss_D_real: -0.023061 Loss_D_fake -0.003712
[1551/5000][245/535][160082] Loss_D: -0.018758 Loss_G: 0.007944 Loss_D_real: -0.017161 Loss_D_fake 0.001598
[1551/5000][250/535][160083] Loss_D: -0.020150 Loss_G: 0.003194 Loss_D_real: -0.022969 Loss_D_fake -0.002818
[1551/5000][255/535][160084] Loss_D: -0.019953 Loss_G: 0.012793 Loss_D_real: -0.011074 Loss_D_fake 0.008878
[1551/5000][260/535][160085] Loss_D: -0.018101 Loss_G: 0.017212 Loss_D_real: -0.023508 Loss_D_fake -0.005406
[1551/5000][265/535][160086] Loss_D: -0.018828 Loss_G: -0.001258 Loss_D_real: -0.007812 Loss_D_fake 0.011015
[1551/5000][270/535][160087] Loss_D: -0.019013 Loss_G: 0.004269 Loss_D_real: -0.013368 Loss_D_fake 0.005645
[1551/5000][275/535][160088] Loss_D: -0.019423 Loss_G: 0.002357 Loss_D_real: -0.014804 Loss_D_fake 0.004619
[1551/5000][280/535][160089] Loss_D: -0.019478 Loss_G: 0.016867 Loss_D_real: -0.025456 Loss_D_fake -0.005978
[1551/5000][285/535][160090] Loss_D: -0.020963 Loss_G: 0.011480 Loss_D_real: -0.015743 Loss_D_fake 0.005219
[1551/5000][290/535][160091] Loss_D: -0.021317 Loss_G: -0.009567 Loss_D_real: -0.013533 Loss_D_fake 0.007784
[1551/5000][295/535][160092] Loss_D: -0.020064 Loss_G: 0.022542 Loss_D_real: -0.026219 Loss_D_fake -0.006155
[1551/5000][300/535][160093] Loss_D: -0.020355 Loss_G: 0.006927 Loss_D_real: -0.012245 Loss_D_fake 0.008110
[1551/5000][305/535][160094] Loss_D: -0.019058 Loss_G: 0.019035 Loss_D_real: -0.024826 Loss_D_fake -0.005768
[1551/5000][310/535][160095] Loss_D: -0.019424 Loss_G: -0.009945 Loss_D_real: -0.008649 Loss_D_fake 0.010775
[1551/5000][315/535][160096] Loss_D: -0.018803 Loss_G: 0.015587 Loss_D_real: -0.036440 Loss_D_fake -0.017637
[1551/5000][320/535][160097] Loss_D: -0.020079 Loss_G: 0.004502 Loss_D_real: -0.013004 Loss_D_fake 0.007074
[1551/5000][325/535][160098] Loss_D: -0.019715 Loss_G: -0.006320 Loss_D_real: -0.000119 Loss_D_fake 0.019596
[1551/5000][330/535][160099] Loss_D: -0.019125 Loss_G: -0.000585 Loss_D_real: -0.021987 Loss_D_fake -0.002862
[1551/5000][335/535][160100] Loss_D: -0.021150 Loss_G: 0.010112 Loss_D_real: -0.016876 Loss_D_fake 0.004274
[1551/5000][340/535][160101] Loss_D: -0.018856 Loss_G: 0.017954 Loss_D_real: -0.026275 Loss_D_fake -0.007419
[1551/5000][345/535][160102] Loss_D: -0.018955 Loss_G: 0.007152 Loss_D_real: -0.021738 Loss_D_fake -0.002783
[1551/5000][350/535][160103] Loss_D: -0.020656 Loss_G: 0.000419 Loss_D_real: -0.004132 Loss_D_fake 0.016524
[1551/5000][355/535][160104] Loss_D: -0.020720 Loss_G: 0.012185 Loss_D_real: -0.021162 Loss_D_fake -0.000442
[1551/5000][360/535][160105] Loss_D: -0.019542 Loss_G: 0.019490 Loss_D_real: -0.037657 Loss_D_fake -0.018115
[1551/5000][365/535][160106] Loss_D: -0.017474 Loss_G: -0.022800 Loss_D_real: 0.010243 Loss_D_fake 0.027717
[1551/5000][370/535][160107] Loss_D: -0.019460 Loss_G: 0.005930 Loss_D_real: 0.003284 Loss_D_fake 0.022744
[1551/5000][375/535][160108] Loss_D: -0.020202 Loss_G: 0.016311 Loss_D_real: -0.010721 Loss_D_fake 0.009482
[1551/5000][380/535][160109] Loss_D: -0.017889 Loss_G: 0.013770 Loss_D_real: -0.010932 Loss_D_fake 0.006957
[1551/5000][385/535][160110] Loss_D: -0.018483 Loss_G: 0.008618 Loss_D_real: -0.020342 Loss_D_fake -0.001858
[1551/5000][390/535][160111] Loss_D: -0.018981 Loss_G: 0.020580 Loss_D_real: -0.031312 Loss_D_fake -0.012331
[1551/5000][395/535][160112] Loss_D: -0.020614 Loss_G: 0.003837 Loss_D_real: -0.009530 Loss_D_fake 0.011083
[1551/5000][400/535][160113] Loss_D: -0.019060 Loss_G: 0.001112 Loss_D_real: -0.018885 Loss_D_fake 0.000175
[1551/5000][405/535][160114] Loss_D: -0.020719 Loss_G: 0.000743 Loss_D_real: -0.022575 Loss_D_fake -0.001857
[1551/5000][410/535][160115] Loss_D: -0.018298 Loss_G: 0.019584 Loss_D_real: -0.009556 Loss_D_fake 0.008742
[1551/5000][415/535][160116] Loss_D: -0.019996 Loss_G: -0.002018 Loss_D_real: 0.005093 Loss_D_fake 0.025089
[1551/5000][420/535][160117] Loss_D: -0.019176 Loss_G: 0.012063 Loss_D_real: -0.025794 Loss_D_fake -0.006619
[1551/5000][425/535][160118] Loss_D: -0.018454 Loss_G: 0.013020 Loss_D_real: -0.015110 Loss_D_fake 0.003344
[1551/5000][430/535][160119] Loss_D: -0.019160 Loss_G: 0.008635 Loss_D_real: -0.014987 Loss_D_fake 0.004173
[1551/5000][435/535][160120] Loss_D: -0.019043 Loss_G: 0.015410 Loss_D_real: -0.026460 Loss_D_fake -0.007417
[1551/5000][440/535][160121] Loss_D: -0.019021 Loss_G: 0.004321 Loss_D_real: -0.013200 Loss_D_fake 0.005821
[1551/5000][445/535][160122] Loss_D: -0.019623 Loss_G: -0.000376 Loss_D_real: -0.011967 Loss_D_fake 0.007656
[1551/5000][450/535][160123] Loss_D: -0.019173 Loss_G: -0.005497 Loss_D_real: -0.006658 Loss_D_fake 0.012515
[1551/5000][455/535][160124] Loss_D: -0.020199 Loss_G: -0.006973 Loss_D_real: -0.007566 Loss_D_fake 0.012633
[1551/5000][460/535][160125] Loss_D: -0.019661 Loss_G: -0.005004 Loss_D_real: -0.012807 Loss_D_fake 0.006854
[1551/5000][465/535][160126] Loss_D: -0.019683 Loss_G: 0.001637 Loss_D_real: -0.014512 Loss_D_fake 0.005170
[1551/5000][470/535][160127] Loss_D: -0.018105 Loss_G: -0.016552 Loss_D_real: 0.007135 Loss_D_fake 0.025240
[1551/5000][475/535][160128] Loss_D: -0.018811 Loss_G: -0.006009 Loss_D_real: -0.022279 Loss_D_fake -0.003468
[1551/5000][480/535][160129] Loss_D: -0.019885 Loss_G: 0.017000 Loss_D_real: -0.018033 Loss_D_fake 0.001853
[1551/5000][485/535][160130] Loss_D: -0.019173 Loss_G: -0.003100 Loss_D_real: -0.004968 Loss_D_fake 0.014204
[1551/5000][490/535][160131] Loss_D: -0.019824 Loss_G: 0.013750 Loss_D_real: -0.019541 Loss_D_fake 0.000284
[1551/5000][495/535][160132] Loss_D: -0.020735 Loss_G: 0.002438 Loss_D_real: -0.016889 Loss_D_fake 0.003846
[1551/5000][500/535][160133] Loss_D: -0.020040 Loss_G: 0.003214 Loss_D_real: -0.002216 Loss_D_fake 0.017823
[1551/5000][505/535][160134] Loss_D: -0.019689 Loss_G: 0.004190 Loss_D_real: -0.009782 Loss_D_fake 0.009906
[1551/5000][510/535][160135] Loss_D: -0.020434 Loss_G: 0.011149 Loss_D_real: -0.020408 Loss_D_fake 0.000026
[1551/5000][515/535][160136] Loss_D: -0.019763 Loss_G: 0.022536 Loss_D_real: -0.033726 Loss_D_fake -0.013963
[1551/5000][520/535][160137] Loss_D: -0.018304 Loss_G: 0.019965 Loss_D_real: -0.021341 Loss_D_fake -0.003037
[1551/5000][525/535][160138] Loss_D: -0.018451 Loss_G: 0.005197 Loss_D_real: -0.020194 Loss_D_fake -0.001743
[1551/5000][530/535][160139] Loss_D: -0.017796 Loss_G: 0.007866 Loss_D_real: -0.032198 Loss_D_fake -0.014402
[1551/5000][535/535][160140] Loss_D: -0.016452 Loss_G: -0.016458 Loss_D_real: -0.003795 Loss_D_fake 0.012657
[1552/5000][5/535][160141] Loss_D: -0.019607 Loss_G: 0.012834 Loss_D_real: -0.014108 Loss_D_fake 0.005499
[1552/5000][10/535][160142] Loss_D: -0.020034 Loss_G: 0.015497 Loss_D_real: -0.012719 Loss_D_fake 0.007315
[1552/5000][15/535][160143] Loss_D: -0.019695 Loss_G: 0.001547 Loss_D_real: -0.011972 Loss_D_fake 0.007723
[1552/5000][20/535][160144] Loss_D: -0.018053 Loss_G: -0.009940 Loss_D_real: -0.002915 Loss_D_fake 0.015138
[1552/5000][25/535][160145] Loss_D: -0.018326 Loss_G: 0.009043 Loss_D_real: -0.017942 Loss_D_fake 0.000385
[1552/5000][30/535][160146] Loss_D: -0.019779 Loss_G: 0.016155 Loss_D_real: -0.023780 Loss_D_fake -0.004000
[1552/5000][35/535][160147] Loss_D: -0.018783 Loss_G: -0.004085 Loss_D_real: -0.011899 Loss_D_fake 0.006884
[1552/5000][40/535][160148] Loss_D: -0.020021 Loss_G: -0.005108 Loss_D_real: -0.008921 Loss_D_fake 0.011100
[1552/5000][45/535][160149] Loss_D: -0.019691 Loss_G: 0.010713 Loss_D_real: -0.019129 Loss_D_fake 0.000562
[1552/5000][50/535][160150] Loss_D: -0.019783 Loss_G: 0.017537 Loss_D_real: -0.021641 Loss_D_fake -0.001858
[1552/5000][55/535][160151] Loss_D: -0.019299 Loss_G: 0.012016 Loss_D_real: -0.001718 Loss_D_fake 0.017581
[1552/5000][60/535][160152] Loss_D: -0.017930 Loss_G: -0.027174 Loss_D_real: 0.010630 Loss_D_fake 0.028560
[1552/5000][65/535][160153] Loss_D: -0.018254 Loss_G: 0.011869 Loss_D_real: -0.023171 Loss_D_fake -0.004917
[1552/5000][70/535][160154] Loss_D: -0.019522 Loss_G: 0.002375 Loss_D_real: -0.011266 Loss_D_fake 0.008256
[1552/5000][75/535][160155] Loss_D: -0.018905 Loss_G: -0.009825 Loss_D_real: -0.008925 Loss_D_fake 0.009981
[1552/5000][80/535][160156] Loss_D: -0.020424 Loss_G: 0.007893 Loss_D_real: -0.019001 Loss_D_fake 0.001423
[1552/5000][85/535][160157] Loss_D: -0.018553 Loss_G: 0.004160 Loss_D_real: -0.004417 Loss_D_fake 0.014135
[1552/5000][90/535][160158] Loss_D: -0.020090 Loss_G: -0.004518 Loss_D_real: -0.008207 Loss_D_fake 0.011883
[1552/5000][95/535][160159] Loss_D: -0.020629 Loss_G: 0.016832 Loss_D_real: -0.022135 Loss_D_fake -0.001506
[1552/5000][100/535][160160] Loss_D: -0.020267 Loss_G: 0.001373 Loss_D_real: -0.008020 Loss_D_fake 0.012247
[1552/5000][105/535][160161] Loss_D: -0.019086 Loss_G: 0.011735 Loss_D_real: -0.007867 Loss_D_fake 0.011219
[1552/5000][110/535][160162] Loss_D: -0.019584 Loss_G: 0.012952 Loss_D_real: -0.006972 Loss_D_fake 0.012611
[1552/5000][115/535][160163] Loss_D: -0.019840 Loss_G: -0.001179 Loss_D_real: -0.012063 Loss_D_fake 0.007776
[1552/5000][120/535][160164] Loss_D: -0.022144 Loss_G: 0.002563 Loss_D_real: -0.011910 Loss_D_fake 0.010235
[1552/5000][125/535][160165] Loss_D: -0.019993 Loss_G: 0.031861 Loss_D_real: -0.012867 Loss_D_fake 0.007127
[1552/5000][130/535][160166] Loss_D: -0.020062 Loss_G: 0.012295 Loss_D_real: -0.024593 Loss_D_fake -0.004532
[1552/5000][135/535][160167] Loss_D: -0.020397 Loss_G: 0.000548 Loss_D_real: -0.025450 Loss_D_fake -0.005053
[1552/5000][140/535][160168] Loss_D: -0.018634 Loss_G: -0.000782 Loss_D_real: -0.007007 Loss_D_fake 0.011627
[1552/5000][145/535][160169] Loss_D: -0.020839 Loss_G: 0.009116 Loss_D_real: -0.008625 Loss_D_fake 0.012215
[1552/5000][150/535][160170] Loss_D: -0.019831 Loss_G: -0.010366 Loss_D_real: -0.005574 Loss_D_fake 0.014258
[1552/5000][155/535][160171] Loss_D: -0.018471 Loss_G: -0.010926 Loss_D_real: -0.001010 Loss_D_fake 0.017462
[1552/5000][160/535][160172] Loss_D: -0.019165 Loss_G: 0.018985 Loss_D_real: -0.025226 Loss_D_fake -0.006061
[1552/5000][165/535][160173] Loss_D: -0.019288 Loss_G: 0.000484 Loss_D_real: -0.007763 Loss_D_fake 0.011525
[1552/5000][170/535][160174] Loss_D: -0.019017 Loss_G: 0.023197 Loss_D_real: -0.026418 Loss_D_fake -0.007402
[1552/5000][175/535][160175] Loss_D: -0.019523 Loss_G: -0.006487 Loss_D_real: -0.014058 Loss_D_fake 0.005465
[1552/5000][180/535][160176] Loss_D: -0.019825 Loss_G: 0.021057 Loss_D_real: -0.021155 Loss_D_fake -0.001329
[1552/5000][185/535][160177] Loss_D: -0.018510 Loss_G: 0.020271 Loss_D_real: -0.027242 Loss_D_fake -0.008732
[1552/5000][190/535][160178] Loss_D: -0.019506 Loss_G: 0.012691 Loss_D_real: -0.007953 Loss_D_fake 0.011553
[1552/5000][195/535][160179] Loss_D: -0.020103 Loss_G: 0.003383 Loss_D_real: -0.003875 Loss_D_fake 0.016228
[1552/5000][200/535][160180] Loss_D: -0.019745 Loss_G: -0.006489 Loss_D_real: -0.011500 Loss_D_fake 0.008245
[1552/5000][205/535][160181] Loss_D: -0.018967 Loss_G: 0.013900 Loss_D_real: -0.005487 Loss_D_fake 0.013481
[1552/5000][210/535][160182] Loss_D: -0.019887 Loss_G: -0.001744 Loss_D_real: -0.020886 Loss_D_fake -0.000999
[1552/5000][215/535][160183] Loss_D: -0.019533 Loss_G: 0.012883 Loss_D_real: -0.021133 Loss_D_fake -0.001600
[1552/5000][220/535][160184] Loss_D: -0.018728 Loss_G: 0.011093 Loss_D_real: -0.022734 Loss_D_fake -0.004005
[1552/5000][225/535][160185] Loss_D: -0.016776 Loss_G: 0.024421 Loss_D_real: -0.023597 Loss_D_fake -0.006821
[1552/5000][230/535][160186] Loss_D: -0.019570 Loss_G: -0.016262 Loss_D_real: -0.009691 Loss_D_fake 0.009879
[1552/5000][235/535][160187] Loss_D: -0.018754 Loss_G: 0.016580 Loss_D_real: -0.020517 Loss_D_fake -0.001763
[1552/5000][240/535][160188] Loss_D: -0.019396 Loss_G: -0.016078 Loss_D_real: -0.007178 Loss_D_fake 0.012218
[1552/5000][245/535][160189] Loss_D: -0.018096 Loss_G: 0.023307 Loss_D_real: -0.023779 Loss_D_fake -0.005683
[1552/5000][250/535][160190] Loss_D: -0.018669 Loss_G: 0.012257 Loss_D_real: -0.021170 Loss_D_fake -0.002501
[1552/5000][255/535][160191] Loss_D: -0.019837 Loss_G: -0.004354 Loss_D_real: -0.016322 Loss_D_fake 0.003515
[1552/5000][260/535][160192] Loss_D: -0.020197 Loss_G: 0.009066 Loss_D_real: -0.009187 Loss_D_fake 0.011010
[1552/5000][265/535][160193] Loss_D: -0.019782 Loss_G: -0.008341 Loss_D_real: -0.012983 Loss_D_fake 0.006799
[1552/5000][270/535][160194] Loss_D: -0.020160 Loss_G: -0.014481 Loss_D_real: -0.011329 Loss_D_fake 0.008831
[1552/5000][275/535][160195] Loss_D: -0.020771 Loss_G: 0.004165 Loss_D_real: 0.002016 Loss_D_fake 0.022787
[1552/5000][280/535][160196] Loss_D: -0.018576 Loss_G: -0.008739 Loss_D_real: 0.007423 Loss_D_fake 0.025999
[1552/5000][285/535][160197] Loss_D: -0.020132 Loss_G: -0.010346 Loss_D_real: -0.001080 Loss_D_fake 0.019053
[1552/5000][290/535][160198] Loss_D: -0.019327 Loss_G: 0.006870 Loss_D_real: -0.009436 Loss_D_fake 0.009891
[1552/5000][295/535][160199] Loss_D: -0.019629 Loss_G: 0.007276 Loss_D_real: -0.014344 Loss_D_fake 0.005286
[1552/5000][300/535][160200] Loss_D: -0.019386 Loss_G: 0.009195 Loss_D_real: -0.018793 Loss_D_fake 0.000593
[1552/5000][305/535][160201] Loss_D: -0.020208 Loss_G: 0.027463 Loss_D_real: -0.023959 Loss_D_fake -0.003751
[1552/5000][310/535][160202] Loss_D: -0.020403 Loss_G: 0.018472 Loss_D_real: -0.026408 Loss_D_fake -0.006005
[1552/5000][315/535][160203] Loss_D: -0.020139 Loss_G: 0.009998 Loss_D_real: -0.017031 Loss_D_fake 0.003108
[1552/5000][320/535][160204] Loss_D: -0.020836 Loss_G: -0.011581 Loss_D_real: -0.009733 Loss_D_fake 0.011103
[1552/5000][325/535][160205] Loss_D: -0.021347 Loss_G: 0.006159 Loss_D_real: -0.006853 Loss_D_fake 0.014494
[1552/5000][330/535][160206] Loss_D: -0.020131 Loss_G: 0.006184 Loss_D_real: -0.010891 Loss_D_fake 0.009240
[1552/5000][335/535][160207] Loss_D: -0.020683 Loss_G: -0.009746 Loss_D_real: -0.012381 Loss_D_fake 0.008302
[1552/5000][340/535][160208] Loss_D: -0.019571 Loss_G: 0.021011 Loss_D_real: -0.017622 Loss_D_fake 0.001949
[1552/5000][345/535][160209] Loss_D: -0.019379 Loss_G: 0.005277 Loss_D_real: -0.017769 Loss_D_fake 0.001610
[1552/5000][350/535][160210] Loss_D: -0.020977 Loss_G: 0.013773 Loss_D_real: -0.025416 Loss_D_fake -0.004438
[1552/5000][355/535][160211] Loss_D: -0.019944 Loss_G: 0.024930 Loss_D_real: -0.023067 Loss_D_fake -0.003124
[1552/5000][360/535][160212] Loss_D: -0.020074 Loss_G: 0.016102 Loss_D_real: -0.016807 Loss_D_fake 0.003267
[1552/5000][365/535][160213] Loss_D: -0.020877 Loss_G: 0.002220 Loss_D_real: -0.016733 Loss_D_fake 0.004144
[1552/5000][370/535][160214] Loss_D: -0.021585 Loss_G: -0.005851 Loss_D_real: -0.010098 Loss_D_fake 0.011487
[1552/5000][375/535][160215] Loss_D: -0.019682 Loss_G: 0.004100 Loss_D_real: -0.007963 Loss_D_fake 0.011719
[1552/5000][380/535][160216] Loss_D: -0.019412 Loss_G: 0.003500 Loss_D_real: -0.011248 Loss_D_fake 0.008164
[1552/5000][385/535][160217] Loss_D: -0.019791 Loss_G: -0.000732 Loss_D_real: -0.020707 Loss_D_fake -0.000916
[1552/5000][390/535][160218] Loss_D: -0.021205 Loss_G: 0.008208 Loss_D_real: -0.019846 Loss_D_fake 0.001359
[1552/5000][395/535][160219] Loss_D: -0.018127 Loss_G: 0.025080 Loss_D_real: -0.035101 Loss_D_fake -0.016974
[1552/5000][400/535][160220] Loss_D: -0.019291 Loss_G: -0.015439 Loss_D_real: 0.001494 Loss_D_fake 0.020784
[1552/5000][405/535][160221] Loss_D: -0.018540 Loss_G: 0.005040 Loss_D_real: -0.034791 Loss_D_fake -0.016251
[1552/5000][410/535][160222] Loss_D: -0.019694 Loss_G: 0.017960 Loss_D_real: -0.022080 Loss_D_fake -0.002387
[1552/5000][415/535][160223] Loss_D: -0.020013 Loss_G: -0.005108 Loss_D_real: -0.011232 Loss_D_fake 0.008780
[1552/5000][420/535][160224] Loss_D: -0.020042 Loss_G: -0.000282 Loss_D_real: -0.005453 Loss_D_fake 0.014589
[1552/5000][425/535][160225] Loss_D: -0.019322 Loss_G: 0.011849 Loss_D_real: -0.024759 Loss_D_fake -0.005437
[1552/5000][430/535][160226] Loss_D: -0.019935 Loss_G: 0.009284 Loss_D_real: -0.002728 Loss_D_fake 0.017208
[1552/5000][435/535][160227] Loss_D: -0.019659 Loss_G: 0.020743 Loss_D_real: -0.020922 Loss_D_fake -0.001262
[1552/5000][440/535][160228] Loss_D: -0.019943 Loss_G: 0.018270 Loss_D_real: -0.021539 Loss_D_fake -0.001596
[1552/5000][445/535][160229] Loss_D: -0.020077 Loss_G: -0.000285 Loss_D_real: -0.007046 Loss_D_fake 0.013032
[1552/5000][450/535][160230] Loss_D: -0.019129 Loss_G: 0.011774 Loss_D_real: -0.027184 Loss_D_fake -0.008055
[1552/5000][455/535][160231] Loss_D: -0.018357 Loss_G: 0.019610 Loss_D_real: -0.028908 Loss_D_fake -0.010550
[1552/5000][460/535][160232] Loss_D: -0.019556 Loss_G: 0.007907 Loss_D_real: -0.032376 Loss_D_fake -0.012821
[1552/5000][465/535][160233] Loss_D: -0.020931 Loss_G: 0.014078 Loss_D_real: -0.031774 Loss_D_fake -0.010843
[1552/5000][470/535][160234] Loss_D: -0.018678 Loss_G: -0.017065 Loss_D_real: 0.003670 Loss_D_fake 0.022348
[1552/5000][475/535][160235] Loss_D: -0.018882 Loss_G: 0.003343 Loss_D_real: -0.009031 Loss_D_fake 0.009850
[1552/5000][480/535][160236] Loss_D: -0.020469 Loss_G: 0.011735 Loss_D_real: 0.001427 Loss_D_fake 0.021896
[1552/5000][485/535][160237] Loss_D: -0.019273 Loss_G: 0.011133 Loss_D_real: -0.007211 Loss_D_fake 0.012062
[1552/5000][490/535][160238] Loss_D: -0.019369 Loss_G: -0.000427 Loss_D_real: -0.019016 Loss_D_fake 0.000353
[1552/5000][495/535][160239] Loss_D: -0.018953 Loss_G: 0.001621 Loss_D_real: -0.006397 Loss_D_fake 0.012556
[1552/5000][500/535][160240] Loss_D: -0.019253 Loss_G: -0.001742 Loss_D_real: -0.009369 Loss_D_fake 0.009884
[1552/5000][505/535][160241] Loss_D: -0.019291 Loss_G: -0.008480 Loss_D_real: 0.001388 Loss_D_fake 0.020679
[1552/5000][510/535][160242] Loss_D: -0.018583 Loss_G: 0.007230 Loss_D_real: -0.018169 Loss_D_fake 0.000414
[1552/5000][515/535][160243] Loss_D: -0.018680 Loss_G: 0.010570 Loss_D_real: -0.002470 Loss_D_fake 0.016210
[1552/5000][520/535][160244] Loss_D: -0.020613 Loss_G: 0.010963 Loss_D_real: -0.013098 Loss_D_fake 0.007515
[1552/5000][525/535][160245] Loss_D: -0.019794 Loss_G: 0.009856 Loss_D_real: -0.012624 Loss_D_fake 0.007170
[1552/5000][530/535][160246] Loss_D: -0.020007 Loss_G: 0.020395 Loss_D_real: -0.024204 Loss_D_fake -0.004197
[1552/5000][535/535][160247] Loss_D: -0.015326 Loss_G: 0.032890 Loss_D_real: -0.028936 Loss_D_fake -0.013610
[1553/5000][5/535][160248] Loss_D: -0.018314 Loss_G: -0.009312 Loss_D_real: -0.020624 Loss_D_fake -0.002310
[1553/5000][10/535][160249] Loss_D: -0.019799 Loss_G: 0.001677 Loss_D_real: -0.012764 Loss_D_fake 0.007035
[1553/5000][15/535][160250] Loss_D: -0.020314 Loss_G: 0.016415 Loss_D_real: -0.024997 Loss_D_fake -0.004683
[1553/5000][20/535][160251] Loss_D: -0.019076 Loss_G: 0.003100 Loss_D_real: -0.013329 Loss_D_fake 0.005747
[1553/5000][25/535][160252] Loss_D: -0.019401 Loss_G: 0.002875 Loss_D_real: -0.002774 Loss_D_fake 0.016627
[1553/5000][30/535][160253] Loss_D: -0.019437 Loss_G: 0.024738 Loss_D_real: -0.017023 Loss_D_fake 0.002414
[1553/5000][35/535][160254] Loss_D: -0.019182 Loss_G: -0.003507 Loss_D_real: -0.015065 Loss_D_fake 0.004117
[1553/5000][40/535][160255] Loss_D: -0.019745 Loss_G: 0.024774 Loss_D_real: -0.023755 Loss_D_fake -0.004010
[1553/5000][45/535][160256] Loss_D: -0.018546 Loss_G: 0.011732 Loss_D_real: -0.013646 Loss_D_fake 0.004900
[1553/5000][50/535][160257] Loss_D: -0.019140 Loss_G: 0.004174 Loss_D_real: -0.010274 Loss_D_fake 0.008866
[1553/5000][55/535][160258] Loss_D: -0.018719 Loss_G: -0.010742 Loss_D_real: -0.000133 Loss_D_fake 0.018586
[1553/5000][60/535][160259] Loss_D: -0.019078 Loss_G: 0.019913 Loss_D_real: -0.029497 Loss_D_fake -0.010420
[1553/5000][65/535][160260] Loss_D: -0.019062 Loss_G: -0.006391 Loss_D_real: -0.010405 Loss_D_fake 0.008657
[1553/5000][70/535][160261] Loss_D: -0.018688 Loss_G: -0.003017 Loss_D_real: -0.006709 Loss_D_fake 0.011979
[1553/5000][75/535][160262] Loss_D: -0.017151 Loss_G: 0.020863 Loss_D_real: -0.025208 Loss_D_fake -0.008056
[1553/5000][80/535][160263] Loss_D: -0.017706 Loss_G: 0.017891 Loss_D_real: -0.009718 Loss_D_fake 0.007989
[1553/5000][85/535][160264] Loss_D: -0.018405 Loss_G: 0.012238 Loss_D_real: -0.025696 Loss_D_fake -0.007291
[1553/5000][90/535][160265] Loss_D: -0.018340 Loss_G: 0.022113 Loss_D_real: -0.025481 Loss_D_fake -0.007141
[1553/5000][95/535][160266] Loss_D: -0.018139 Loss_G: -0.018021 Loss_D_real: -0.006579 Loss_D_fake 0.011560
[1553/5000][100/535][160267] Loss_D: -0.018982 Loss_G: 0.004520 Loss_D_real: -0.009396 Loss_D_fake 0.009586
[1553/5000][105/535][160268] Loss_D: -0.019441 Loss_G: 0.003689 Loss_D_real: -0.016997 Loss_D_fake 0.002445
[1553/5000][110/535][160269] Loss_D: -0.019496 Loss_G: -0.015950 Loss_D_real: -0.016096 Loss_D_fake 0.003400
[1553/5000][115/535][160270] Loss_D: -0.021273 Loss_G: 0.012505 Loss_D_real: -0.011935 Loss_D_fake 0.009338
[1553/5000][120/535][160271] Loss_D: -0.019535 Loss_G: 0.020933 Loss_D_real: -0.020262 Loss_D_fake -0.000727
[1553/5000][125/535][160272] Loss_D: -0.019937 Loss_G: 0.002024 Loss_D_real: -0.010270 Loss_D_fake 0.009666
[1553/5000][130/535][160273] Loss_D: -0.020607 Loss_G: 0.001276 Loss_D_real: -0.011100 Loss_D_fake 0.009507
[1553/5000][135/535][160274] Loss_D: -0.019189 Loss_G: 0.005132 Loss_D_real: -0.010904 Loss_D_fake 0.008285
[1553/5000][140/535][160275] Loss_D: -0.019444 Loss_G: 0.011196 Loss_D_real: -0.011328 Loss_D_fake 0.008117
[1553/5000][145/535][160276] Loss_D: -0.019669 Loss_G: 0.004966 Loss_D_real: -0.019785 Loss_D_fake -0.000116
[1553/5000][150/535][160277] Loss_D: -0.018263 Loss_G: 0.029835 Loss_D_real: -0.031498 Loss_D_fake -0.013235
[1553/5000][155/535][160278] Loss_D: -0.021639 Loss_G: 0.004040 Loss_D_real: 0.000046 Loss_D_fake 0.021686
[1553/5000][160/535][160279] Loss_D: -0.020555 Loss_G: 0.015851 Loss_D_real: -0.014727 Loss_D_fake 0.005828
[1553/5000][165/535][160280] Loss_D: -0.019935 Loss_G: -0.003316 Loss_D_real: -0.012516 Loss_D_fake 0.007420
[1553/5000][170/535][160281] Loss_D: -0.019362 Loss_G: 0.006517 Loss_D_real: -0.024517 Loss_D_fake -0.005155
[1553/5000][175/535][160282] Loss_D: -0.020758 Loss_G: 0.011077 Loss_D_real: -0.021036 Loss_D_fake -0.000278
[1553/5000][180/535][160283] Loss_D: -0.018462 Loss_G: 0.010825 Loss_D_real: -0.017649 Loss_D_fake 0.000813
[1553/5000][185/535][160284] Loss_D: -0.019039 Loss_G: -0.018072 Loss_D_real: -0.002501 Loss_D_fake 0.016539
[1553/5000][190/535][160285] Loss_D: -0.018607 Loss_G: 0.024622 Loss_D_real: -0.026870 Loss_D_fake -0.008263
[1553/5000][195/535][160286] Loss_D: -0.021053 Loss_G: -0.003126 Loss_D_real: -0.011501 Loss_D_fake 0.009551
[1553/5000][200/535][160287] Loss_D: -0.020628 Loss_G: 0.011795 Loss_D_real: -0.020137 Loss_D_fake 0.000492
[1553/5000][205/535][160288] Loss_D: -0.020325 Loss_G: 0.011856 Loss_D_real: -0.011629 Loss_D_fake 0.008696
[1553/5000][210/535][160289] Loss_D: -0.020668 Loss_G: 0.024996 Loss_D_real: -0.019223 Loss_D_fake 0.001445
[1553/5000][215/535][160290] Loss_D: -0.020681 Loss_G: 0.013847 Loss_D_real: -0.024215 Loss_D_fake -0.003534
[1553/5000][220/535][160291] Loss_D: -0.020622 Loss_G: 0.005082 Loss_D_real: -0.015769 Loss_D_fake 0.004853
[1553/5000][225/535][160292] Loss_D: -0.020817 Loss_G: 0.009286 Loss_D_real: -0.012065 Loss_D_fake 0.008753
[1553/5000][230/535][160293] Loss_D: -0.019717 Loss_G: -0.009745 Loss_D_real: -0.004300 Loss_D_fake 0.015417
[1553/5000][235/535][160294] Loss_D: -0.018119 Loss_G: 0.022540 Loss_D_real: -0.027815 Loss_D_fake -0.009696
[1553/5000][240/535][160295] Loss_D: -0.018152 Loss_G: 0.018861 Loss_D_real: -0.029810 Loss_D_fake -0.011658
[1553/5000][245/535][160296] Loss_D: -0.021671 Loss_G: 0.003787 Loss_D_real: -0.022873 Loss_D_fake -0.001201
[1553/5000][250/535][160297] Loss_D: -0.019137 Loss_G: 0.019327 Loss_D_real: -0.032347 Loss_D_fake -0.013210
[1553/5000][255/535][160298] Loss_D: -0.018913 Loss_G: -0.009829 Loss_D_real: -0.007430 Loss_D_fake 0.011483
[1553/5000][260/535][160299] Loss_D: -0.018463 Loss_G: 0.012026 Loss_D_real: -0.025550 Loss_D_fake -0.007087
[1553/5000][265/535][160300] Loss_D: -0.019197 Loss_G: 0.013574 Loss_D_real: -0.015265 Loss_D_fake 0.003932
[1553/5000][270/535][160301] Loss_D: -0.018578 Loss_G: -0.002916 Loss_D_real: -0.015198 Loss_D_fake 0.003381
[1553/5000][275/535][160302] Loss_D: -0.018803 Loss_G: 0.007891 Loss_D_real: -0.011096 Loss_D_fake 0.007707
[1553/5000][280/535][160303] Loss_D: -0.018998 Loss_G: -0.008178 Loss_D_real: -0.006314 Loss_D_fake 0.012685
[1553/5000][285/535][160304] Loss_D: -0.020157 Loss_G: 0.022503 Loss_D_real: -0.014312 Loss_D_fake 0.005846
[1553/5000][290/535][160305] Loss_D: -0.019090 Loss_G: 0.018753 Loss_D_real: -0.018051 Loss_D_fake 0.001039
[1553/5000][295/535][160306] Loss_D: -0.018716 Loss_G: -0.001088 Loss_D_real: -0.032067 Loss_D_fake -0.013351
[1553/5000][300/535][160307] Loss_D: -0.019538 Loss_G: -0.005551 Loss_D_real: -0.006706 Loss_D_fake 0.012832
[1553/5000][305/535][160308] Loss_D: -0.019134 Loss_G: -0.013619 Loss_D_real: -0.013646 Loss_D_fake 0.005488
[1553/5000][310/535][160309] Loss_D: -0.019057 Loss_G: 0.027385 Loss_D_real: -0.026661 Loss_D_fake -0.007604
[1553/5000][315/535][160310] Loss_D: -0.019221 Loss_G: -0.008747 Loss_D_real: -0.002843 Loss_D_fake 0.016378
[1553/5000][320/535][160311] Loss_D: -0.019596 Loss_G: 0.005579 Loss_D_real: -0.021272 Loss_D_fake -0.001676
[1553/5000][325/535][160312] Loss_D: -0.019113 Loss_G: -0.011402 Loss_D_real: -0.013490 Loss_D_fake 0.005623
[1553/5000][330/535][160313] Loss_D: -0.019065 Loss_G: 0.009454 Loss_D_real: -0.008351 Loss_D_fake 0.010714
[1553/5000][335/535][160314] Loss_D: -0.019017 Loss_G: 0.015248 Loss_D_real: -0.024443 Loss_D_fake -0.005427
[1553/5000][340/535][160315] Loss_D: -0.020084 Loss_G: 0.002817 Loss_D_real: -0.012081 Loss_D_fake 0.008003
[1553/5000][345/535][160316] Loss_D: -0.019149 Loss_G: 0.000389 Loss_D_real: -0.008712 Loss_D_fake 0.010437
[1553/5000][350/535][160317] Loss_D: -0.019340 Loss_G: 0.018418 Loss_D_real: -0.013651 Loss_D_fake 0.005689
[1553/5000][355/535][160318] Loss_D: -0.018390 Loss_G: 0.018992 Loss_D_real: -0.038264 Loss_D_fake -0.019874
[1553/5000][360/535][160319] Loss_D: -0.019598 Loss_G: 0.004875 Loss_D_real: -0.017783 Loss_D_fake 0.001816
[1553/5000][365/535][160320] Loss_D: -0.018606 Loss_G: 0.010235 Loss_D_real: -0.019853 Loss_D_fake -0.001247
[1553/5000][370/535][160321] Loss_D: -0.018520 Loss_G: 0.016424 Loss_D_real: -0.023823 Loss_D_fake -0.005303
[1553/5000][375/535][160322] Loss_D: -0.018228 Loss_G: 0.003235 Loss_D_real: -0.005963 Loss_D_fake 0.012266
[1553/5000][380/535][160323] Loss_D: -0.019043 Loss_G: 0.006878 Loss_D_real: -0.022269 Loss_D_fake -0.003226
[1553/5000][385/535][160324] Loss_D: -0.020002 Loss_G: 0.020019 Loss_D_real: -0.026720 Loss_D_fake -0.006718
[1553/5000][390/535][160325] Loss_D: -0.018968 Loss_G: 0.009332 Loss_D_real: -0.009093 Loss_D_fake 0.009875
[1553/5000][395/535][160326] Loss_D: -0.018986 Loss_G: 0.011751 Loss_D_real: -0.027399 Loss_D_fake -0.008413
[1553/5000][400/535][160327] Loss_D: -0.019578 Loss_G: -0.004265 Loss_D_real: -0.001802 Loss_D_fake 0.017776
[1553/5000][405/535][160328] Loss_D: -0.018713 Loss_G: 0.022157 Loss_D_real: -0.021208 Loss_D_fake -0.002495
[1553/5000][410/535][160329] Loss_D: -0.018799 Loss_G: 0.022380 Loss_D_real: -0.022396 Loss_D_fake -0.003597
[1553/5000][415/535][160330] Loss_D: -0.019518 Loss_G: 0.010153 Loss_D_real: -0.016191 Loss_D_fake 0.003327
[1553/5000][420/535][160331] Loss_D: -0.018758 Loss_G: 0.010356 Loss_D_real: -0.021016 Loss_D_fake -0.002258
[1553/5000][425/535][160332] Loss_D: -0.020438 Loss_G: 0.011371 Loss_D_real: -0.019792 Loss_D_fake 0.000646
[1553/5000][430/535][160333] Loss_D: -0.020552 Loss_G: 0.000931 Loss_D_real: -0.000885 Loss_D_fake 0.019667
[1553/5000][435/535][160334] Loss_D: -0.019586 Loss_G: 0.007949 Loss_D_real: -0.017897 Loss_D_fake 0.001689
[1553/5000][440/535][160335] Loss_D: -0.020221 Loss_G: 0.001830 Loss_D_real: -0.024613 Loss_D_fake -0.004392
[1553/5000][445/535][160336] Loss_D: -0.020726 Loss_G: -0.000934 Loss_D_real: -0.006944 Loss_D_fake 0.013782
[1553/5000][450/535][160337] Loss_D: -0.020262 Loss_G: 0.006188 Loss_D_real: -0.019941 Loss_D_fake 0.000320
[1553/5000][455/535][160338] Loss_D: -0.018445 Loss_G: 0.027239 Loss_D_real: -0.029934 Loss_D_fake -0.011489
[1553/5000][460/535][160339] Loss_D: -0.019912 Loss_G: -0.010776 Loss_D_real: -0.009376 Loss_D_fake 0.010536
[1553/5000][465/535][160340] Loss_D: -0.017976 Loss_G: 0.010845 Loss_D_real: -0.021185 Loss_D_fake -0.003209
[1553/5000][470/535][160341] Loss_D: -0.019577 Loss_G: 0.014367 Loss_D_real: -0.023936 Loss_D_fake -0.004359
[1553/5000][475/535][160342] Loss_D: -0.020803 Loss_G: -0.003799 Loss_D_real: -0.006865 Loss_D_fake 0.013938
[1553/5000][480/535][160343] Loss_D: -0.017648 Loss_G: -0.016719 Loss_D_real: -0.000173 Loss_D_fake 0.017475
[1553/5000][485/535][160344] Loss_D: -0.019326 Loss_G: 0.006768 Loss_D_real: -0.022982 Loss_D_fake -0.003656
[1553/5000][490/535][160345] Loss_D: -0.019313 Loss_G: 0.005919 Loss_D_real: 0.001740 Loss_D_fake 0.021053
[1553/5000][495/535][160346] Loss_D: -0.018063 Loss_G: 0.012620 Loss_D_real: -0.006459 Loss_D_fake 0.011604
[1553/5000][500/535][160347] Loss_D: -0.020325 Loss_G: -0.006303 Loss_D_real: -0.002168 Loss_D_fake 0.018158
[1553/5000][505/535][160348] Loss_D: -0.019392 Loss_G: 0.018061 Loss_D_real: -0.024860 Loss_D_fake -0.005467
[1553/5000][510/535][160349] Loss_D: -0.018871 Loss_G: 0.016664 Loss_D_real: -0.017700 Loss_D_fake 0.001171
[1553/5000][515/535][160350] Loss_D: -0.018448 Loss_G: 0.024525 Loss_D_real: -0.030543 Loss_D_fake -0.012095
[1553/5000][520/535][160351] Loss_D: -0.019866 Loss_G: 0.001046 Loss_D_real: -0.008476 Loss_D_fake 0.011391
[1553/5000][525/535][160352] Loss_D: -0.019870 Loss_G: -0.000846 Loss_D_real: -0.003906 Loss_D_fake 0.015964
[1553/5000][530/535][160353] Loss_D: -0.018965 Loss_G: 0.019934 Loss_D_real: -0.017656 Loss_D_fake 0.001309
[1553/5000][535/535][160354] Loss_D: -0.015483 Loss_G: 0.019438 Loss_D_real: -0.027692 Loss_D_fake -0.012209
[1554/5000][5/535][160355] Loss_D: -0.020346 Loss_G: -0.007261 Loss_D_real: -0.006141 Loss_D_fake 0.014205
[1554/5000][10/535][160356] Loss_D: -0.019081 Loss_G: 0.015039 Loss_D_real: -0.017254 Loss_D_fake 0.001827
[1554/5000][15/535][160357] Loss_D: -0.020702 Loss_G: 0.005065 Loss_D_real: -0.018289 Loss_D_fake 0.002413
[1554/5000][20/535][160358] Loss_D: -0.019651 Loss_G: 0.013897 Loss_D_real: -0.007359 Loss_D_fake 0.012292
[1554/5000][25/535][160359] Loss_D: -0.020284 Loss_G: -0.010480 Loss_D_real: -0.015750 Loss_D_fake 0.004535
[1554/5000][30/535][160360] Loss_D: -0.019921 Loss_G: -0.002420 Loss_D_real: -0.009553 Loss_D_fake 0.010368
[1554/5000][35/535][160361] Loss_D: -0.018958 Loss_G: 0.007356 Loss_D_real: -0.023057 Loss_D_fake -0.004099
[1554/5000][40/535][160362] Loss_D: -0.020655 Loss_G: -0.003697 Loss_D_real: -0.011741 Loss_D_fake 0.008914
[1554/5000][45/535][160363] Loss_D: -0.019433 Loss_G: 0.011790 Loss_D_real: -0.022026 Loss_D_fake -0.002593
[1554/5000][50/535][160364] Loss_D: -0.019599 Loss_G: -0.009237 Loss_D_real: -0.003959 Loss_D_fake 0.015640
[1554/5000][55/535][160365] Loss_D: -0.019090 Loss_G: 0.026039 Loss_D_real: -0.021425 Loss_D_fake -0.002335
[1554/5000][60/535][160366] Loss_D: -0.020085 Loss_G: -0.002685 Loss_D_real: -0.010156 Loss_D_fake 0.009929
[1554/5000][65/535][160367] Loss_D: -0.020419 Loss_G: 0.015858 Loss_D_real: -0.016705 Loss_D_fake 0.003714
[1554/5000][70/535][160368] Loss_D: -0.018519 Loss_G: 0.003054 Loss_D_real: -0.019098 Loss_D_fake -0.000579
[1554/5000][75/535][160369] Loss_D: -0.018682 Loss_G: 0.004829 Loss_D_real: -0.011396 Loss_D_fake 0.007286
[1554/5000][80/535][160370] Loss_D: -0.020941 Loss_G: 0.020532 Loss_D_real: -0.020716 Loss_D_fake 0.000225
[1554/5000][85/535][160371] Loss_D: -0.018965 Loss_G: 0.013983 Loss_D_real: -0.020338 Loss_D_fake -0.001373
[1554/5000][90/535][160372] Loss_D: -0.019686 Loss_G: 0.003790 Loss_D_real: -0.013832 Loss_D_fake 0.005854
[1554/5000][95/535][160373] Loss_D: -0.018893 Loss_G: -0.007290 Loss_D_real: -0.015098 Loss_D_fake 0.003795
[1554/5000][100/535][160374] Loss_D: -0.020017 Loss_G: -0.002214 Loss_D_real: -0.006351 Loss_D_fake 0.013666
[1554/5000][105/535][160375] Loss_D: -0.017508 Loss_G: -0.009703 Loss_D_real: 0.000150 Loss_D_fake 0.017658
[1554/5000][110/535][160376] Loss_D: -0.020276 Loss_G: 0.005841 Loss_D_real: -0.016763 Loss_D_fake 0.003512
[1554/5000][115/535][160377] Loss_D: -0.020352 Loss_G: 0.011929 Loss_D_real: -0.030010 Loss_D_fake -0.009659
[1554/5000][120/535][160378] Loss_D: -0.019577 Loss_G: -0.001352 Loss_D_real: -0.017907 Loss_D_fake 0.001670
[1554/5000][125/535][160379] Loss_D: -0.020399 Loss_G: 0.017168 Loss_D_real: -0.028923 Loss_D_fake -0.008524
[1554/5000][130/535][160380] Loss_D: -0.020397 Loss_G: -0.009474 Loss_D_real: -0.015671 Loss_D_fake 0.004726
[1554/5000][135/535][160381] Loss_D: -0.020497 Loss_G: 0.004729 Loss_D_real: -0.008254 Loss_D_fake 0.012243
[1554/5000][140/535][160382] Loss_D: -0.019138 Loss_G: 0.018433 Loss_D_real: -0.021153 Loss_D_fake -0.002015
[1554/5000][145/535][160383] Loss_D: -0.019129 Loss_G: 0.022693 Loss_D_real: -0.029050 Loss_D_fake -0.009921
[1554/5000][150/535][160384] Loss_D: -0.019897 Loss_G: 0.004221 Loss_D_real: -0.008108 Loss_D_fake 0.011789
[1554/5000][155/535][160385] Loss_D: -0.019306 Loss_G: 0.011417 Loss_D_real: -0.015346 Loss_D_fake 0.003960
[1554/5000][160/535][160386] Loss_D: -0.020061 Loss_G: 0.008162 Loss_D_real: -0.012702 Loss_D_fake 0.007359
[1554/5000][165/535][160387] Loss_D: -0.019638 Loss_G: 0.002121 Loss_D_real: -0.018066 Loss_D_fake 0.001573
[1554/5000][170/535][160388] Loss_D: -0.018817 Loss_G: 0.007484 Loss_D_real: -0.010663 Loss_D_fake 0.008154
[1554/5000][175/535][160389] Loss_D: -0.019510 Loss_G: -0.002511 Loss_D_real: -0.006680 Loss_D_fake 0.012829
[1554/5000][180/535][160390] Loss_D: -0.020342 Loss_G: 0.000071 Loss_D_real: -0.015615 Loss_D_fake 0.004727
[1554/5000][185/535][160391] Loss_D: -0.018368 Loss_G: -0.006418 Loss_D_real: 0.014072 Loss_D_fake 0.032440
[1554/5000][190/535][160392] Loss_D: -0.017769 Loss_G: -0.010035 Loss_D_real: -0.014698 Loss_D_fake 0.003071
[1554/5000][195/535][160393] Loss_D: -0.018597 Loss_G: 0.004844 Loss_D_real: -0.007713 Loss_D_fake 0.010884
[1554/5000][200/535][160394] Loss_D: -0.020176 Loss_G: 0.002656 Loss_D_real: -0.008730 Loss_D_fake 0.011445
[1554/5000][205/535][160395] Loss_D: -0.021750 Loss_G: -0.010938 Loss_D_real: -0.013034 Loss_D_fake 0.008716
[1554/5000][210/535][160396] Loss_D: -0.018884 Loss_G: -0.006655 Loss_D_real: -0.005483 Loss_D_fake 0.013401
[1554/5000][215/535][160397] Loss_D: -0.018791 Loss_G: 0.024080 Loss_D_real: -0.023046 Loss_D_fake -0.004256
[1554/5000][220/535][160398] Loss_D: -0.018617 Loss_G: 0.013005 Loss_D_real: -0.011832 Loss_D_fake 0.006785
[1554/5000][225/535][160399] Loss_D: -0.019746 Loss_G: 0.001792 Loss_D_real: -0.027183 Loss_D_fake -0.007437
[1554/5000][230/535][160400] Loss_D: -0.018608 Loss_G: 0.019225 Loss_D_real: -0.020929 Loss_D_fake -0.002320
[1554/5000][235/535][160401] Loss_D: -0.019824 Loss_G: 0.015204 Loss_D_real: -0.008323 Loss_D_fake 0.011501
[1554/5000][240/535][160402] Loss_D: -0.017763 Loss_G: 0.010569 Loss_D_real: -0.036965 Loss_D_fake -0.019202
[1554/5000][245/535][160403] Loss_D: -0.020487 Loss_G: 0.009209 Loss_D_real: -0.024288 Loss_D_fake -0.003801
[1554/5000][250/535][160404] Loss_D: -0.019646 Loss_G: 0.004134 Loss_D_real: -0.014195 Loss_D_fake 0.005451
[1554/5000][255/535][160405] Loss_D: -0.020034 Loss_G: 0.013737 Loss_D_real: -0.011512 Loss_D_fake 0.008522
[1554/5000][260/535][160406] Loss_D: -0.019337 Loss_G: 0.010675 Loss_D_real: -0.034494 Loss_D_fake -0.015157
[1554/5000][265/535][160407] Loss_D: -0.018497 Loss_G: 0.015848 Loss_D_real: -0.034245 Loss_D_fake -0.015748
[1554/5000][270/535][160408] Loss_D: -0.020545 Loss_G: -0.004114 Loss_D_real: 0.006125 Loss_D_fake 0.026670
[1554/5000][275/535][160409] Loss_D: -0.018062 Loss_G: 0.024280 Loss_D_real: -0.041322 Loss_D_fake -0.023260
[1554/5000][280/535][160410] Loss_D: -0.019526 Loss_G: 0.013400 Loss_D_real: -0.020183 Loss_D_fake -0.000656
[1554/5000][285/535][160411] Loss_D: -0.019737 Loss_G: -0.002572 Loss_D_real: -0.007235 Loss_D_fake 0.012503
[1554/5000][290/535][160412] Loss_D: -0.019032 Loss_G: 0.013327 Loss_D_real: -0.017522 Loss_D_fake 0.001509
[1554/5000][295/535][160413] Loss_D: -0.018818 Loss_G: -0.006040 Loss_D_real: 0.000761 Loss_D_fake 0.019579
[1554/5000][300/535][160414] Loss_D: -0.019091 Loss_G: 0.012777 Loss_D_real: -0.021548 Loss_D_fake -0.002457
[1554/5000][305/535][160415] Loss_D: -0.019805 Loss_G: 0.004737 Loss_D_real: -0.015065 Loss_D_fake 0.004740
[1554/5000][310/535][160416] Loss_D: -0.019387 Loss_G: 0.029190 Loss_D_real: -0.027714 Loss_D_fake -0.008327
[1554/5000][315/535][160417] Loss_D: -0.020732 Loss_G: 0.007497 Loss_D_real: -0.011417 Loss_D_fake 0.009314
[1554/5000][320/535][160418] Loss_D: -0.018586 Loss_G: 0.014377 Loss_D_real: -0.020364 Loss_D_fake -0.001778
[1554/5000][325/535][160419] Loss_D: -0.019241 Loss_G: 0.010063 Loss_D_real: -0.013552 Loss_D_fake 0.005688
[1554/5000][330/535][160420] Loss_D: -0.020640 Loss_G: -0.004507 Loss_D_real: -0.003792 Loss_D_fake 0.016848
[1554/5000][335/535][160421] Loss_D: -0.019681 Loss_G: 0.005728 Loss_D_real: -0.012478 Loss_D_fake 0.007203
[1554/5000][340/535][160422] Loss_D: -0.019952 Loss_G: 0.034540 Loss_D_real: -0.023037 Loss_D_fake -0.003085
[1554/5000][345/535][160423] Loss_D: -0.020031 Loss_G: -0.003142 Loss_D_real: -0.026534 Loss_D_fake -0.006503
[1554/5000][350/535][160424] Loss_D: -0.019399 Loss_G: -0.000943 Loss_D_real: -0.011599 Loss_D_fake 0.007800
[1554/5000][355/535][160425] Loss_D: -0.018575 Loss_G: 0.023531 Loss_D_real: -0.022315 Loss_D_fake -0.003739
[1554/5000][360/535][160426] Loss_D: -0.018734 Loss_G: 0.000604 Loss_D_real: -0.017496 Loss_D_fake 0.001238
[1554/5000][365/535][160427] Loss_D: -0.018224 Loss_G: -0.003428 Loss_D_real: -0.004154 Loss_D_fake 0.014069
[1554/5000][370/535][160428] Loss_D: -0.019763 Loss_G: 0.011796 Loss_D_real: -0.027546 Loss_D_fake -0.007783
[1554/5000][375/535][160429] Loss_D: -0.019189 Loss_G: 0.011874 Loss_D_real: -0.027968 Loss_D_fake -0.008779
[1554/5000][380/535][160430] Loss_D: -0.019600 Loss_G: 0.008617 Loss_D_real: -0.013037 Loss_D_fake 0.006563
[1554/5000][385/535][160431] Loss_D: -0.020578 Loss_G: -0.007248 Loss_D_real: -0.024640 Loss_D_fake -0.004062
[1554/5000][390/535][160432] Loss_D: -0.018193 Loss_G: 0.006417 Loss_D_real: -0.020291 Loss_D_fake -0.002098
[1554/5000][395/535][160433] Loss_D: -0.019285 Loss_G: 0.015502 Loss_D_real: -0.017396 Loss_D_fake 0.001889
[1554/5000][400/535][160434] Loss_D: -0.019467 Loss_G: 0.001836 Loss_D_real: -0.006349 Loss_D_fake 0.013118
[1554/5000][405/535][160435] Loss_D: -0.019449 Loss_G: 0.013450 Loss_D_real: -0.014764 Loss_D_fake 0.004685
[1554/5000][410/535][160436] Loss_D: -0.019624 Loss_G: 0.009752 Loss_D_real: -0.026399 Loss_D_fake -0.006775
[1554/5000][415/535][160437] Loss_D: -0.019215 Loss_G: 0.032796 Loss_D_real: -0.025220 Loss_D_fake -0.006004
[1554/5000][420/535][160438] Loss_D: -0.018141 Loss_G: 0.016508 Loss_D_real: -0.015998 Loss_D_fake 0.002143
[1554/5000][425/535][160439] Loss_D: -0.017584 Loss_G: 0.003985 Loss_D_real: -0.013008 Loss_D_fake 0.004576
[1554/5000][430/535][160440] Loss_D: -0.017883 Loss_G: 0.008365 Loss_D_real: -0.018170 Loss_D_fake -0.000287
[1554/5000][435/535][160441] Loss_D: -0.019460 Loss_G: 0.026141 Loss_D_real: -0.029718 Loss_D_fake -0.010258
[1554/5000][440/535][160442] Loss_D: -0.018566 Loss_G: 0.009911 Loss_D_real: -0.021110 Loss_D_fake -0.002545
[1554/5000][445/535][160443] Loss_D: -0.019706 Loss_G: 0.012984 Loss_D_real: -0.021013 Loss_D_fake -0.001307
[1554/5000][450/535][160444] Loss_D: -0.018690 Loss_G: 0.006357 Loss_D_real: -0.019669 Loss_D_fake -0.000978
[1554/5000][455/535][160445] Loss_D: -0.019125 Loss_G: 0.024815 Loss_D_real: -0.019280 Loss_D_fake -0.000155
[1554/5000][460/535][160446] Loss_D: -0.020340 Loss_G: 0.007172 Loss_D_real: -0.032807 Loss_D_fake -0.012467
[1554/5000][465/535][160447] Loss_D: -0.018319 Loss_G: 0.016409 Loss_D_real: -0.017266 Loss_D_fake 0.001052
[1554/5000][470/535][160448] Loss_D: -0.018894 Loss_G: 0.014688 Loss_D_real: -0.022073 Loss_D_fake -0.003179
[1554/5000][475/535][160449] Loss_D: -0.020439 Loss_G: -0.002920 Loss_D_real: -0.025727 Loss_D_fake -0.005288
[1554/5000][480/535][160450] Loss_D: -0.018686 Loss_G: -0.000674 Loss_D_real: -0.012429 Loss_D_fake 0.006257
[1554/5000][485/535][160451] Loss_D: -0.018936 Loss_G: 0.014948 Loss_D_real: -0.016309 Loss_D_fake 0.002627
[1554/5000][490/535][160452] Loss_D: -0.018237 Loss_G: 0.000077 Loss_D_real: -0.017309 Loss_D_fake 0.000928
[1554/5000][495/535][160453] Loss_D: -0.018370 Loss_G: 0.005527 Loss_D_real: -0.003301 Loss_D_fake 0.015069
[1554/5000][500/535][160454] Loss_D: -0.018211 Loss_G: 0.003128 Loss_D_real: -0.006499 Loss_D_fake 0.011712
[1554/5000][505/535][160455] Loss_D: -0.018918 Loss_G: 0.014994 Loss_D_real: -0.010388 Loss_D_fake 0.008530
[1554/5000][510/535][160456] Loss_D: -0.020391 Loss_G: -0.003152 Loss_D_real: -0.010173 Loss_D_fake 0.010218
[1554/5000][515/535][160457] Loss_D: -0.019904 Loss_G: 0.007260 Loss_D_real: -0.012107 Loss_D_fake 0.007797
[1554/5000][520/535][160458] Loss_D: -0.019984 Loss_G: 0.003506 Loss_D_real: -0.010966 Loss_D_fake 0.009018
[1554/5000][525/535][160459] Loss_D: -0.020307 Loss_G: -0.011952 Loss_D_real: 0.000018 Loss_D_fake 0.020325
[1554/5000][530/535][160460] Loss_D: -0.020996 Loss_G: 0.018036 Loss_D_real: -0.024208 Loss_D_fake -0.003211
[1554/5000][535/535][160461] Loss_D: -0.021059 Loss_G: -0.018917 Loss_D_real: -0.010398 Loss_D_fake 0.010661
[1555/5000][5/535][160462] Loss_D: -0.020196 Loss_G: 0.015052 Loss_D_real: -0.010459 Loss_D_fake 0.009737
[1555/5000][10/535][160463] Loss_D: -0.020458 Loss_G: 0.000672 Loss_D_real: -0.014457 Loss_D_fake 0.006001
[1555/5000][15/535][160464] Loss_D: -0.020389 Loss_G: -0.018386 Loss_D_real: 0.003448 Loss_D_fake 0.023837
[1555/5000][20/535][160465] Loss_D: -0.019087 Loss_G: 0.021844 Loss_D_real: -0.024868 Loss_D_fake -0.005781
[1555/5000][25/535][160466] Loss_D: -0.019982 Loss_G: 0.022970 Loss_D_real: -0.019704 Loss_D_fake 0.000278
[1555/5000][30/535][160467] Loss_D: -0.018819 Loss_G: 0.021809 Loss_D_real: -0.019932 Loss_D_fake -0.001113
[1555/5000][35/535][160468] Loss_D: -0.019196 Loss_G: 0.012353 Loss_D_real: -0.027197 Loss_D_fake -0.008001
[1555/5000][40/535][160469] Loss_D: -0.019704 Loss_G: 0.001776 Loss_D_real: -0.013744 Loss_D_fake 0.005960
[1555/5000][45/535][160470] Loss_D: -0.020292 Loss_G: -0.004310 Loss_D_real: -0.007489 Loss_D_fake 0.012803
[1555/5000][50/535][160471] Loss_D: -0.019044 Loss_G: -0.004383 Loss_D_real: -0.019191 Loss_D_fake -0.000146
[1555/5000][55/535][160472] Loss_D: -0.019129 Loss_G: 0.005138 Loss_D_real: -0.004824 Loss_D_fake 0.014305
[1555/5000][60/535][160473] Loss_D: -0.018500 Loss_G: 0.016514 Loss_D_real: -0.029680 Loss_D_fake -0.011180
[1555/5000][65/535][160474] Loss_D: -0.019634 Loss_G: 0.014254 Loss_D_real: -0.014765 Loss_D_fake 0.004869
[1555/5000][70/535][160475] Loss_D: -0.019993 Loss_G: -0.001142 Loss_D_real: -0.003146 Loss_D_fake 0.016847
[1555/5000][75/535][160476] Loss_D: -0.019718 Loss_G: 0.002965 Loss_D_real: -0.007080 Loss_D_fake 0.012638
[1555/5000][80/535][160477] Loss_D: -0.020677 Loss_G: 0.014560 Loss_D_real: -0.016490 Loss_D_fake 0.004187
[1555/5000][85/535][160478] Loss_D: -0.020141 Loss_G: 0.019588 Loss_D_real: -0.032832 Loss_D_fake -0.012691
[1555/5000][90/535][160479] Loss_D: -0.018557 Loss_G: 0.015342 Loss_D_real: -0.032582 Loss_D_fake -0.014025
[1555/5000][95/535][160480] Loss_D: -0.019617 Loss_G: 0.004605 Loss_D_real: -0.011485 Loss_D_fake 0.008132
[1555/5000][100/535][160481] Loss_D: -0.019217 Loss_G: -0.007988 Loss_D_real: -0.008322 Loss_D_fake 0.010895
[1555/5000][105/535][160482] Loss_D: -0.019928 Loss_G: 0.011460 Loss_D_real: -0.035974 Loss_D_fake -0.016046
[1555/5000][110/535][160483] Loss_D: -0.021655 Loss_G: 0.000738 Loss_D_real: -0.015123 Loss_D_fake 0.006532
[1555/5000][115/535][160484] Loss_D: -0.018924 Loss_G: 0.020190 Loss_D_real: -0.035724 Loss_D_fake -0.016800
[1555/5000][120/535][160485] Loss_D: -0.018598 Loss_G: 0.010037 Loss_D_real: -0.027270 Loss_D_fake -0.008672
[1555/5000][125/535][160486] Loss_D: -0.019337 Loss_G: 0.027941 Loss_D_real: -0.025216 Loss_D_fake -0.005879
[1555/5000][130/535][160487] Loss_D: -0.019527 Loss_G: 0.021054 Loss_D_real: -0.023139 Loss_D_fake -0.003612
[1555/5000][135/535][160488] Loss_D: -0.019739 Loss_G: 0.009338 Loss_D_real: -0.028373 Loss_D_fake -0.008634
[1555/5000][140/535][160489] Loss_D: -0.019627 Loss_G: 0.021749 Loss_D_real: -0.026509 Loss_D_fake -0.006882
[1555/5000][145/535][160490] Loss_D: -0.019580 Loss_G: 0.004517 Loss_D_real: -0.015454 Loss_D_fake 0.004126
[1555/5000][150/535][160491] Loss_D: -0.018543 Loss_G: 0.011580 Loss_D_real: -0.034274 Loss_D_fake -0.015731
[1555/5000][155/535][160492] Loss_D: -0.019031 Loss_G: -0.010112 Loss_D_real: 0.000245 Loss_D_fake 0.019276
[1555/5000][160/535][160493] Loss_D: -0.018776 Loss_G: -0.005497 Loss_D_real: -0.011243 Loss_D_fake 0.007533
[1555/5000][165/535][160494] Loss_D: -0.017856 Loss_G: 0.015073 Loss_D_real: -0.029834 Loss_D_fake -0.011978
[1555/5000][170/535][160495] Loss_D: -0.017549 Loss_G: -0.014303 Loss_D_real: 0.008407 Loss_D_fake 0.025956
[1555/5000][175/535][160496] Loss_D: -0.020258 Loss_G: 0.012915 Loss_D_real: -0.010176 Loss_D_fake 0.010082
[1555/5000][180/535][160497] Loss_D: -0.018940 Loss_G: 0.003145 Loss_D_real: -0.006975 Loss_D_fake 0.011965
[1555/5000][185/535][160498] Loss_D: -0.018484 Loss_G: 0.011277 Loss_D_real: -0.022398 Loss_D_fake -0.003914
[1555/5000][190/535][160499] Loss_D: -0.018954 Loss_G: 0.000522 Loss_D_real: -0.018435 Loss_D_fake 0.000519
[1555/5000][195/535][160500] Loss_D: -0.021170 Loss_G: 0.029987 Loss_D_real: -0.018766 Loss_D_fake 0.002404
[1555/5000][295/535][160501] Loss_D: -0.022582 Loss_G: -0.022722 Loss_D_real: 0.007908 Loss_D_fake 0.030490
[1555/5000][300/535][160502] Loss_D: -0.017321 Loss_G: 0.006274 Loss_D_real: -0.013903 Loss_D_fake 0.003417
[1555/5000][305/535][160503] Loss_D: -0.016351 Loss_G: 0.018701 Loss_D_real: -0.008732 Loss_D_fake 0.007620
[1555/5000][310/535][160504] Loss_D: -0.018304 Loss_G: -0.002194 Loss_D_real: -0.008807 Loss_D_fake 0.009497
[1555/5000][315/535][160505] Loss_D: -0.018601 Loss_G: 0.000914 Loss_D_real: -0.010532 Loss_D_fake 0.008069
[1555/5000][320/535][160506] Loss_D: -0.018473 Loss_G: 0.006361 Loss_D_real: -0.000972 Loss_D_fake 0.017501
[1555/5000][325/535][160507] Loss_D: -0.019043 Loss_G: 0.014295 Loss_D_real: -0.024063 Loss_D_fake -0.005020
[1555/5000][330/535][160508] Loss_D: -0.019032 Loss_G: 0.006646 Loss_D_real: -0.017695 Loss_D_fake 0.001337
[1555/5000][335/535][160509] Loss_D: -0.018763 Loss_G: 0.010012 Loss_D_real: -0.009421 Loss_D_fake 0.009342
[1555/5000][340/535][160510] Loss_D: -0.019488 Loss_G: 0.004719 Loss_D_real: -0.025056 Loss_D_fake -0.005568
[1555/5000][345/535][160511] Loss_D: -0.018431 Loss_G: -0.000660 Loss_D_real: -0.004613 Loss_D_fake 0.013818
[1555/5000][350/535][160512] Loss_D: -0.017927 Loss_G: 0.014768 Loss_D_real: -0.014868 Loss_D_fake 0.003059
[1555/5000][355/535][160513] Loss_D: -0.019428 Loss_G: 0.000760 Loss_D_real: -0.006670 Loss_D_fake 0.012758
[1555/5000][360/535][160514] Loss_D: -0.017581 Loss_G: -0.008926 Loss_D_real: 0.004825 Loss_D_fake 0.022406
[1555/5000][365/535][160515] Loss_D: -0.018373 Loss_G: 0.013370 Loss_D_real: -0.024029 Loss_D_fake -0.005656
[1555/5000][370/535][160516] Loss_D: -0.019921 Loss_G: 0.003819 Loss_D_real: -0.014653 Loss_D_fake 0.005268
[1555/5000][375/535][160517] Loss_D: -0.018008 Loss_G: -0.004571 Loss_D_real: -0.004126 Loss_D_fake 0.013882
[1555/5000][380/535][160518] Loss_D: -0.018254 Loss_G: 0.025821 Loss_D_real: -0.025223 Loss_D_fake -0.006969
[1555/5000][385/535][160519] Loss_D: -0.019289 Loss_G: -0.005705 Loss_D_real: -0.010221 Loss_D_fake 0.009067
[1555/5000][390/535][160520] Loss_D: -0.019485 Loss_G: 0.003435 Loss_D_real: -0.007246 Loss_D_fake 0.012239
[1555/5000][395/535][160521] Loss_D: -0.018906 Loss_G: 0.007293 Loss_D_real: -0.020092 Loss_D_fake -0.001186
[1555/5000][400/535][160522] Loss_D: -0.018555 Loss_G: -0.011701 Loss_D_real: -0.011055 Loss_D_fake 0.007500
[1555/5000][405/535][160523] Loss_D: -0.018192 Loss_G: -0.009822 Loss_D_real: -0.005627 Loss_D_fake 0.012565
[1555/5000][410/535][160524] Loss_D: -0.017018 Loss_G: 0.014961 Loss_D_real: -0.024653 Loss_D_fake -0.007636
[1555/5000][415/535][160525] Loss_D: -0.020487 Loss_G: 0.005976 Loss_D_real: -0.009231 Loss_D_fake 0.011257
[1555/5000][420/535][160526] Loss_D: -0.019594 Loss_G: 0.011629 Loss_D_real: -0.021522 Loss_D_fake -0.001929
[1555/5000][425/535][160527] Loss_D: -0.015355 Loss_G: 0.031028 Loss_D_real: -0.028443 Loss_D_fake -0.013089
[1555/5000][430/535][160528] Loss_D: -0.019364 Loss_G: -0.002622 Loss_D_real: -0.011226 Loss_D_fake 0.008138
[1555/5000][435/535][160529] Loss_D: -0.019918 Loss_G: -0.004372 Loss_D_real: -0.013417 Loss_D_fake 0.006501
[1555/5000][440/535][160530] Loss_D: -0.018504 Loss_G: -0.004761 Loss_D_real: -0.016502 Loss_D_fake 0.002002
[1555/5000][445/535][160531] Loss_D: -0.018646 Loss_G: 0.011305 Loss_D_real: -0.034019 Loss_D_fake -0.015373
[1555/5000][450/535][160532] Loss_D: -0.020412 Loss_G: 0.015265 Loss_D_real: -0.015107 Loss_D_fake 0.005305
[1555/5000][455/535][160533] Loss_D: -0.019897 Loss_G: 0.025776 Loss_D_real: -0.021902 Loss_D_fake -0.002006
[1555/5000][460/535][160534] Loss_D: -0.020088 Loss_G: -0.001181 Loss_D_real: -0.015226 Loss_D_fake 0.004862
[1555/5000][465/535][160535] Loss_D: -0.019830 Loss_G: 0.015860 Loss_D_real: -0.016374 Loss_D_fake 0.003456
[1555/5000][470/535][160536] Loss_D: -0.020558 Loss_G: 0.003014 Loss_D_real: -0.025187 Loss_D_fake -0.004630
[1555/5000][475/535][160537] Loss_D: -0.019226 Loss_G: -0.000464 Loss_D_real: -0.008281 Loss_D_fake 0.010945
[1555/5000][480/535][160538] Loss_D: -0.019069 Loss_G: 0.017358 Loss_D_real: -0.019168 Loss_D_fake -0.000098
[1555/5000][485/535][160539] Loss_D: -0.019377 Loss_G: -0.001083 Loss_D_real: -0.015802 Loss_D_fake 0.003575
[1555/5000][490/535][160540] Loss_D: -0.018768 Loss_G: -0.010390 Loss_D_real: -0.004448 Loss_D_fake 0.014320
[1555/5000][495/535][160541] Loss_D: -0.018906 Loss_G: 0.013751 Loss_D_real: -0.023780 Loss_D_fake -0.004874
[1555/5000][500/535][160542] Loss_D: -0.019497 Loss_G: 0.006131 Loss_D_real: -0.014577 Loss_D_fake 0.004920
[1555/5000][505/535][160543] Loss_D: -0.018954 Loss_G: 0.007113 Loss_D_real: -0.010247 Loss_D_fake 0.008707
[1555/5000][510/535][160544] Loss_D: -0.019023 Loss_G: -0.004315 Loss_D_real: -0.012111 Loss_D_fake 0.006912
[1555/5000][515/535][160545] Loss_D: -0.019027 Loss_G: -0.014764 Loss_D_real: -0.004505 Loss_D_fake 0.014522
[1555/5000][520/535][160546] Loss_D: -0.019178 Loss_G: 0.016661 Loss_D_real: -0.028389 Loss_D_fake -0.009211
[1555/5000][525/535][160547] Loss_D: -0.019992 Loss_G: 0.011194 Loss_D_real: -0.027733 Loss_D_fake -0.007741
[1555/5000][530/535][160548] Loss_D: -0.019816 Loss_G: 0.004347 Loss_D_real: -0.018993 Loss_D_fake 0.000822
[1555/5000][535/535][160549] Loss_D: -0.017398 Loss_G: -0.015974 Loss_D_real: -0.012211 Loss_D_fake 0.005188
[1556/5000][5/535][160550] Loss_D: -0.019996 Loss_G: 0.002065 Loss_D_real: -0.013257 Loss_D_fake 0.006739
[1556/5000][10/535][160551] Loss_D: -0.018971 Loss_G: 0.019009 Loss_D_real: -0.031608 Loss_D_fake -0.012637
[1556/5000][15/535][160552] Loss_D: -0.019658 Loss_G: 0.013899 Loss_D_real: -0.011027 Loss_D_fake 0.008631
[1556/5000][20/535][160553] Loss_D: -0.019885 Loss_G: 0.007820 Loss_D_real: -0.022293 Loss_D_fake -0.002408
[1556/5000][25/535][160554] Loss_D: -0.018598 Loss_G: -0.000302 Loss_D_real: -0.004495 Loss_D_fake 0.014103
[1556/5000][30/535][160555] Loss_D: -0.019158 Loss_G: 0.008987 Loss_D_real: -0.014517 Loss_D_fake 0.004642
[1556/5000][35/535][160556] Loss_D: -0.018290 Loss_G: 0.006665 Loss_D_real: -0.011812 Loss_D_fake 0.006478
[1556/5000][40/535][160557] Loss_D: -0.019026 Loss_G: -0.006551 Loss_D_real: -0.005650 Loss_D_fake 0.013376
[1556/5000][45/535][160558] Loss_D: -0.019215 Loss_G: 0.012333 Loss_D_real: -0.011102 Loss_D_fake 0.008113
[1556/5000][50/535][160559] Loss_D: -0.018951 Loss_G: -0.008897 Loss_D_real: 0.003594 Loss_D_fake 0.022545
[1556/5000][55/535][160560] Loss_D: -0.017761 Loss_G: 0.016610 Loss_D_real: -0.030432 Loss_D_fake -0.012671
[1556/5000][60/535][160561] Loss_D: -0.018211 Loss_G: 0.015028 Loss_D_real: -0.022501 Loss_D_fake -0.004290
[1556/5000][65/535][160562] Loss_D: -0.020118 Loss_G: -0.001039 Loss_D_real: -0.009872 Loss_D_fake 0.010246
[1556/5000][70/535][160563] Loss_D: -0.019424 Loss_G: 0.008606 Loss_D_real: -0.008465 Loss_D_fake 0.010959
[1556/5000][75/535][160564] Loss_D: -0.020371 Loss_G: 0.009910 Loss_D_real: -0.011171 Loss_D_fake 0.009200
[1556/5000][80/535][160565] Loss_D: -0.019430 Loss_G: -0.013100 Loss_D_real: -0.007697 Loss_D_fake 0.011732
[1556/5000][85/535][160566] Loss_D: -0.019242 Loss_G: 0.010435 Loss_D_real: -0.001067 Loss_D_fake 0.018176
[1556/5000][90/535][160567] Loss_D: -0.018874 Loss_G: -0.009264 Loss_D_real: -0.016068 Loss_D_fake 0.002807
[1556/5000][95/535][160568] Loss_D: -0.017630 Loss_G: -0.007876 Loss_D_real: -0.010719 Loss_D_fake 0.006911
[1556/5000][100/535][160569] Loss_D: -0.018308 Loss_G: 0.015312 Loss_D_real: -0.024503 Loss_D_fake -0.006195
[1556/5000][105/535][160570] Loss_D: -0.020336 Loss_G: 0.031948 Loss_D_real: -0.018947 Loss_D_fake 0.001389
[1556/5000][110/535][160571] Loss_D: -0.018939 Loss_G: 0.004872 Loss_D_real: -0.017593 Loss_D_fake 0.001346
[1556/5000][115/535][160572] Loss_D: -0.018629 Loss_G: 0.018965 Loss_D_real: -0.023504 Loss_D_fake -0.004875
[1556/5000][120/535][160573] Loss_D: -0.019145 Loss_G: 0.008869 Loss_D_real: -0.020060 Loss_D_fake -0.000916
[1556/5000][125/535][160574] Loss_D: -0.020060 Loss_G: 0.014805 Loss_D_real: -0.019312 Loss_D_fake 0.000748
[1556/5000][130/535][160575] Loss_D: -0.019689 Loss_G: -0.019724 Loss_D_real: -0.006394 Loss_D_fake 0.013295
[1556/5000][135/535][160576] Loss_D: -0.020947 Loss_G: 0.016985 Loss_D_real: -0.011657 Loss_D_fake 0.009289
[1556/5000][140/535][160577] Loss_D: -0.020439 Loss_G: 0.012955 Loss_D_real: 0.002018 Loss_D_fake 0.022457
[1556/5000][145/535][160578] Loss_D: -0.019030 Loss_G: 0.003955 Loss_D_real: -0.018199 Loss_D_fake 0.000831
[1556/5000][150/535][160579] Loss_D: -0.020154 Loss_G: -0.012005 Loss_D_real: -0.019420 Loss_D_fake 0.000733
[1556/5000][155/535][160580] Loss_D: -0.020362 Loss_G: 0.020539 Loss_D_real: -0.020849 Loss_D_fake -0.000487
[1556/5000][160/535][160581] Loss_D: -0.019303 Loss_G: 0.010563 Loss_D_real: -0.021622 Loss_D_fake -0.002319
[1556/5000][165/535][160582] Loss_D: -0.018856 Loss_G: 0.012065 Loss_D_real: -0.027685 Loss_D_fake -0.008830
[1556/5000][170/535][160583] Loss_D: -0.020299 Loss_G: 0.023772 Loss_D_real: -0.033327 Loss_D_fake -0.013028
[1556/5000][175/535][160584] Loss_D: -0.019103 Loss_G: 0.022836 Loss_D_real: -0.032168 Loss_D_fake -0.013064
[1556/5000][180/535][160585] Loss_D: -0.018946 Loss_G: -0.019572 Loss_D_real: -0.013551 Loss_D_fake 0.005396
[1556/5000][185/535][160586] Loss_D: -0.019506 Loss_G: 0.012400 Loss_D_real: -0.030377 Loss_D_fake -0.010871
[1556/5000][190/535][160587] Loss_D: -0.018472 Loss_G: 0.009195 Loss_D_real: -0.030734 Loss_D_fake -0.012261
[1556/5000][195/535][160588] Loss_D: -0.021050 Loss_G: 0.004421 Loss_D_real: -0.008778 Loss_D_fake 0.012272
[1556/5000][200/535][160589] Loss_D: -0.020028 Loss_G: 0.007443 Loss_D_real: -0.016198 Loss_D_fake 0.003830
[1556/5000][205/535][160590] Loss_D: -0.020000 Loss_G: -0.000596 Loss_D_real: -0.015575 Loss_D_fake 0.004425
[1556/5000][210/535][160591] Loss_D: -0.019350 Loss_G: 0.019955 Loss_D_real: -0.019386 Loss_D_fake -0.000036
[1556/5000][215/535][160592] Loss_D: -0.019473 Loss_G: -0.006063 Loss_D_real: 0.008605 Loss_D_fake 0.028079
[1556/5000][220/535][160593] Loss_D: -0.019677 Loss_G: 0.026801 Loss_D_real: -0.024110 Loss_D_fake -0.004433
[1556/5000][225/535][160594] Loss_D: -0.019612 Loss_G: 0.007599 Loss_D_real: -0.017005 Loss_D_fake 0.002608
[1556/5000][230/535][160595] Loss_D: -0.019124 Loss_G: 0.008843 Loss_D_real: -0.010087 Loss_D_fake 0.009037
[1556/5000][235/535][160596] Loss_D: -0.019618 Loss_G: 0.002531 Loss_D_real: -0.011507 Loss_D_fake 0.008111
[1556/5000][240/535][160597] Loss_D: -0.017791 Loss_G: 0.026152 Loss_D_real: -0.027989 Loss_D_fake -0.010197
[1556/5000][245/535][160598] Loss_D: -0.020633 Loss_G: 0.006391 Loss_D_real: -0.019889 Loss_D_fake 0.000744
[1556/5000][250/535][160599] Loss_D: -0.020075 Loss_G: -0.007008 Loss_D_real: -0.013367 Loss_D_fake 0.006708
[1556/5000][255/535][160600] Loss_D: -0.020475 Loss_G: -0.001128 Loss_D_real: -0.017001 Loss_D_fake 0.003474
[1556/5000][260/535][160601] Loss_D: -0.019015 Loss_G: 0.025027 Loss_D_real: -0.026384 Loss_D_fake -0.007368
[1556/5000][265/535][160602] Loss_D: -0.020359 Loss_G: -0.000182 Loss_D_real: -0.019398 Loss_D_fake 0.000961
[1556/5000][270/535][160603] Loss_D: -0.019138 Loss_G: 0.001946 Loss_D_real: -0.014632 Loss_D_fake 0.004506
[1556/5000][275/535][160604] Loss_D: -0.018866 Loss_G: 0.010303 Loss_D_real: -0.020039 Loss_D_fake -0.001172
[1556/5000][280/535][160605] Loss_D: -0.020292 Loss_G: 0.002033 Loss_D_real: -0.006483 Loss_D_fake 0.013809
[1556/5000][285/535][160606] Loss_D: -0.020429 Loss_G: 0.009299 Loss_D_real: -0.014799 Loss_D_fake 0.005629
[1556/5000][290/535][160607] Loss_D: -0.020528 Loss_G: 0.023184 Loss_D_real: -0.018888 Loss_D_fake 0.001640
[1556/5000][295/535][160608] Loss_D: -0.019083 Loss_G: 0.003402 Loss_D_real: -0.004976 Loss_D_fake 0.014107
[1556/5000][300/535][160609] Loss_D: -0.019004 Loss_G: -0.017782 Loss_D_real: -0.006590 Loss_D_fake 0.012414
[1556/5000][305/535][160610] Loss_D: -0.018513 Loss_G: 0.004566 Loss_D_real: -0.026039 Loss_D_fake -0.007525
[1556/5000][310/535][160611] Loss_D: -0.019143 Loss_G: 0.011249 Loss_D_real: -0.027533 Loss_D_fake -0.008390
[1556/5000][315/535][160612] Loss_D: -0.019669 Loss_G: 0.009557 Loss_D_real: -0.022873 Loss_D_fake -0.003204
[1556/5000][320/535][160613] Loss_D: -0.017642 Loss_G: 0.012934 Loss_D_real: -0.018630 Loss_D_fake -0.000988
[1556/5000][325/535][160614] Loss_D: -0.018447 Loss_G: 0.016455 Loss_D_real: -0.018818 Loss_D_fake -0.000371
[1556/5000][330/535][160615] Loss_D: -0.020280 Loss_G: 0.018840 Loss_D_real: -0.020304 Loss_D_fake -0.000025
[1556/5000][335/535][160616] Loss_D: -0.019275 Loss_G: 0.003396 Loss_D_real: -0.011494 Loss_D_fake 0.007781
[1556/5000][340/535][160617] Loss_D: -0.020751 Loss_G: 0.014187 Loss_D_real: -0.016660 Loss_D_fake 0.004091
[1556/5000][345/535][160618] Loss_D: -0.018870 Loss_G: 0.015396 Loss_D_real: -0.016120 Loss_D_fake 0.002749
[1556/5000][350/535][160619] Loss_D: -0.020602 Loss_G: 0.010295 Loss_D_real: -0.028281 Loss_D_fake -0.007679
[1556/5000][355/535][160620] Loss_D: -0.021535 Loss_G: -0.000054 Loss_D_real: -0.020437 Loss_D_fake 0.001097
[1556/5000][360/535][160621] Loss_D: -0.018852 Loss_G: -0.012208 Loss_D_real: 0.005044 Loss_D_fake 0.023896
[1556/5000][365/535][160622] Loss_D: -0.019077 Loss_G: 0.003133 Loss_D_real: -0.023830 Loss_D_fake -0.004754
[1556/5000][370/535][160623] Loss_D: -0.019296 Loss_G: 0.026726 Loss_D_real: -0.023561 Loss_D_fake -0.004265
[1556/5000][375/535][160624] Loss_D: -0.020400 Loss_G: 0.014850 Loss_D_real: -0.023525 Loss_D_fake -0.003124
[1556/5000][380/535][160625] Loss_D: -0.019654 Loss_G: 0.015206 Loss_D_real: -0.025549 Loss_D_fake -0.005895
[1556/5000][385/535][160626] Loss_D: -0.016650 Loss_G: 0.019976 Loss_D_real: -0.018865 Loss_D_fake -0.002214
[1556/5000][390/535][160627] Loss_D: -0.019875 Loss_G: 0.011440 Loss_D_real: -0.026125 Loss_D_fake -0.006250
[1556/5000][395/535][160628] Loss_D: -0.018512 Loss_G: -0.002910 Loss_D_real: -0.003191 Loss_D_fake 0.015321
[1556/5000][400/535][160629] Loss_D: -0.018187 Loss_G: 0.006595 Loss_D_real: -0.035177 Loss_D_fake -0.016990
[1556/5000][405/535][160630] Loss_D: -0.017432 Loss_G: 0.024583 Loss_D_real: -0.027609 Loss_D_fake -0.010177
[1556/5000][410/535][160631] Loss_D: -0.018577 Loss_G: 0.013467 Loss_D_real: -0.013879 Loss_D_fake 0.004698
[1556/5000][415/535][160632] Loss_D: -0.020143 Loss_G: 0.002271 Loss_D_real: -0.009633 Loss_D_fake 0.010510
[1556/5000][420/535][160633] Loss_D: -0.019024 Loss_G: 0.010842 Loss_D_real: -0.021178 Loss_D_fake -0.002154
[1556/5000][425/535][160634] Loss_D: -0.017734 Loss_G: -0.020102 Loss_D_real: -0.005679 Loss_D_fake 0.012055
[1556/5000][430/535][160635] Loss_D: -0.019663 Loss_G: 0.014920 Loss_D_real: -0.027602 Loss_D_fake -0.007939
[1556/5000][435/535][160636] Loss_D: -0.019670 Loss_G: -0.007810 Loss_D_real: -0.004408 Loss_D_fake 0.015261
[1556/5000][440/535][160637] Loss_D: -0.018345 Loss_G: 0.009969 Loss_D_real: -0.017534 Loss_D_fake 0.000811
[1556/5000][445/535][160638] Loss_D: -0.019071 Loss_G: 0.004412 Loss_D_real: -0.012604 Loss_D_fake 0.006467
[1556/5000][450/535][160639] Loss_D: -0.017651 Loss_G: 0.008146 Loss_D_real: -0.017519 Loss_D_fake 0.000132
[1556/5000][455/535][160640] Loss_D: -0.018562 Loss_G: 0.006876 Loss_D_real: -0.010537 Loss_D_fake 0.008025
[1556/5000][460/535][160641] Loss_D: -0.020542 Loss_G: 0.013713 Loss_D_real: -0.029952 Loss_D_fake -0.009410
[1556/5000][465/535][160642] Loss_D: -0.020168 Loss_G: 0.029335 Loss_D_real: -0.020194 Loss_D_fake -0.000027
[1556/5000][470/535][160643] Loss_D: -0.020157 Loss_G: 0.000034 Loss_D_real: -0.011542 Loss_D_fake 0.008615
[1556/5000][475/535][160644] Loss_D: -0.020294 Loss_G: 0.022156 Loss_D_real: -0.023389 Loss_D_fake -0.003095
[1556/5000][480/535][160645] Loss_D: -0.020196 Loss_G: 0.018741 Loss_D_real: -0.016698 Loss_D_fake 0.003498
[1556/5000][485/535][160646] Loss_D: -0.019456 Loss_G: 0.005139 Loss_D_real: -0.015150 Loss_D_fake 0.004305
[1556/5000][490/535][160647] Loss_D: -0.018698 Loss_G: -0.004552 Loss_D_real: -0.005400 Loss_D_fake 0.013298
[1556/5000][495/535][160648] Loss_D: -0.018513 Loss_G: 0.019164 Loss_D_real: -0.033742 Loss_D_fake -0.015228
[1556/5000][500/535][160649] Loss_D: -0.019655 Loss_G: 0.012126 Loss_D_real: -0.014650 Loss_D_fake 0.005005
[1556/5000][505/535][160650] Loss_D: -0.020303 Loss_G: -0.006426 Loss_D_real: -0.005725 Loss_D_fake 0.014577
[1556/5000][510/535][160651] Loss_D: -0.019647 Loss_G: 0.008239 Loss_D_real: -0.011857 Loss_D_fake 0.007790
[1556/5000][515/535][160652] Loss_D: -0.019446 Loss_G: 0.009812 Loss_D_real: -0.022788 Loss_D_fake -0.003342
[1556/5000][520/535][160653] Loss_D: -0.019813 Loss_G: -0.001849 Loss_D_real: -0.007701 Loss_D_fake 0.012112
[1556/5000][525/535][160654] Loss_D: -0.019422 Loss_G: 0.008922 Loss_D_real: -0.014343 Loss_D_fake 0.005080
[1556/5000][530/535][160655] Loss_D: -0.020529 Loss_G: 0.000963 Loss_D_real: -0.006630 Loss_D_fake 0.013899
[1556/5000][535/535][160656] Loss_D: -0.019234 Loss_G: 0.014524 Loss_D_real: -0.030746 Loss_D_fake -0.011513
[1557/5000][5/535][160657] Loss_D: -0.018956 Loss_G: 0.016548 Loss_D_real: -0.024690 Loss_D_fake -0.005734
[1557/5000][10/535][160658] Loss_D: -0.020398 Loss_G: 0.003151 Loss_D_real: -0.001380 Loss_D_fake 0.019018
[1557/5000][15/535][160659] Loss_D: -0.020199 Loss_G: -0.002732 Loss_D_real: -0.010944 Loss_D_fake 0.009255
[1557/5000][20/535][160660] Loss_D: -0.020279 Loss_G: 0.008037 Loss_D_real: -0.022046 Loss_D_fake -0.001767
[1557/5000][25/535][160661] Loss_D: -0.020065 Loss_G: 0.002769 Loss_D_real: -0.004275 Loss_D_fake 0.015791
[1557/5000][30/535][160662] Loss_D: -0.019684 Loss_G: 0.007910 Loss_D_real: -0.007243 Loss_D_fake 0.012441
[1557/5000][35/535][160663] Loss_D: -0.019595 Loss_G: 0.026976 Loss_D_real: -0.019508 Loss_D_fake 0.000086
[1557/5000][40/535][160664] Loss_D: -0.020962 Loss_G: -0.000432 Loss_D_real: -0.017818 Loss_D_fake 0.003145
[1557/5000][45/535][160665] Loss_D: -0.015777 Loss_G: 0.024600 Loss_D_real: -0.031060 Loss_D_fake -0.015283
[1557/5000][50/535][160666] Loss_D: -0.019042 Loss_G: 0.008317 Loss_D_real: -0.014989 Loss_D_fake 0.004053
[1557/5000][55/535][160667] Loss_D: -0.018435 Loss_G: 0.001953 Loss_D_real: -0.011847 Loss_D_fake 0.006589
[1557/5000][60/535][160668] Loss_D: -0.019883 Loss_G: 0.008141 Loss_D_real: -0.017257 Loss_D_fake 0.002626
[1557/5000][65/535][160669] Loss_D: -0.018419 Loss_G: 0.016493 Loss_D_real: -0.023606 Loss_D_fake -0.005186
[1557/5000][70/535][160670] Loss_D: -0.018539 Loss_G: 0.006587 Loss_D_real: -0.029308 Loss_D_fake -0.010769
[1557/5000][75/535][160671] Loss_D: -0.018977 Loss_G: 0.020393 Loss_D_real: -0.030606 Loss_D_fake -0.011629
[1557/5000][80/535][160672] Loss_D: -0.019353 Loss_G: -0.000431 Loss_D_real: -0.002407 Loss_D_fake 0.016946
[1557/5000][85/535][160673] Loss_D: -0.018927 Loss_G: -0.001414 Loss_D_real: -0.007370 Loss_D_fake 0.011557
[1557/5000][90/535][160674] Loss_D: -0.017316 Loss_G: 0.032923 Loss_D_real: -0.025456 Loss_D_fake -0.008141
[1557/5000][95/535][160675] Loss_D: -0.019730 Loss_G: 0.009572 Loss_D_real: -0.021797 Loss_D_fake -0.002067
[1557/5000][100/535][160676] Loss_D: -0.020463 Loss_G: 0.026770 Loss_D_real: -0.024620 Loss_D_fake -0.004157
[1557/5000][105/535][160677] Loss_D: -0.019066 Loss_G: 0.015384 Loss_D_real: -0.024726 Loss_D_fake -0.005661
[1557/5000][110/535][160678] Loss_D: -0.018702 Loss_G: -0.008762 Loss_D_real: -0.019575 Loss_D_fake -0.000873
[1557/5000][115/535][160679] Loss_D: -0.019802 Loss_G: 0.021498 Loss_D_real: -0.024896 Loss_D_fake -0.005094
[1557/5000][120/535][160680] Loss_D: -0.019284 Loss_G: -0.001193 Loss_D_real: -0.015081 Loss_D_fake 0.004203
[1557/5000][125/535][160681] Loss_D: -0.018272 Loss_G: -0.005637 Loss_D_real: -0.007181 Loss_D_fake 0.011090
[1557/5000][130/535][160682] Loss_D: -0.019708 Loss_G: 0.008578 Loss_D_real: -0.020201 Loss_D_fake -0.000493
[1557/5000][135/535][160683] Loss_D: -0.018296 Loss_G: -0.016930 Loss_D_real: -0.001104 Loss_D_fake 0.017193
[1557/5000][140/535][160684] Loss_D: -0.018612 Loss_G: 0.000723 Loss_D_real: -0.003714 Loss_D_fake 0.014898
[1557/5000][145/535][160685] Loss_D: -0.018480 Loss_G: 0.017409 Loss_D_real: -0.023557 Loss_D_fake -0.005077
[1557/5000][150/535][160686] Loss_D: -0.018587 Loss_G: 0.038997 Loss_D_real: -0.031377 Loss_D_fake -0.012790
[1557/5000][155/535][160687] Loss_D: -0.020159 Loss_G: 0.002091 Loss_D_real: -0.020921 Loss_D_fake -0.000762
[1557/5000][160/535][160688] Loss_D: -0.018884 Loss_G: 0.004900 Loss_D_real: -0.008099 Loss_D_fake 0.010785
[1557/5000][165/535][160689] Loss_D: -0.019123 Loss_G: -0.008326 Loss_D_real: 0.004271 Loss_D_fake 0.023393
[1557/5000][170/535][160690] Loss_D: -0.019630 Loss_G: -0.000832 Loss_D_real: -0.020768 Loss_D_fake -0.001138
[1557/5000][175/535][160691] Loss_D: -0.020247 Loss_G: 0.009087 Loss_D_real: -0.014058 Loss_D_fake 0.006190
[1557/5000][180/535][160692] Loss_D: -0.020269 Loss_G: 0.000061 Loss_D_real: -0.011368 Loss_D_fake 0.008901
[1557/5000][185/535][160693] Loss_D: -0.020819 Loss_G: -0.007955 Loss_D_real: 0.000510 Loss_D_fake 0.021328
[1557/5000][190/535][160694] Loss_D: -0.019232 Loss_G: -0.009854 Loss_D_real: 0.006004 Loss_D_fake 0.025236
[1557/5000][195/535][160695] Loss_D: -0.021173 Loss_G: 0.003584 Loss_D_real: -0.009711 Loss_D_fake 0.011463
[1557/5000][200/535][160696] Loss_D: -0.018533 Loss_G: -0.006418 Loss_D_real: -0.015063 Loss_D_fake 0.003470
[1557/5000][205/535][160697] Loss_D: -0.019411 Loss_G: -0.007918 Loss_D_real: 0.002214 Loss_D_fake 0.021625
[1557/5000][210/535][160698] Loss_D: -0.019215 Loss_G: 0.015735 Loss_D_real: -0.023390 Loss_D_fake -0.004174
[1557/5000][215/535][160699] Loss_D: -0.019507 Loss_G: 0.002231 Loss_D_real: -0.012526 Loss_D_fake 0.006981
[1557/5000][220/535][160700] Loss_D: -0.018353 Loss_G: 0.011211 Loss_D_real: -0.023046 Loss_D_fake -0.004693
[1557/5000][225/535][160701] Loss_D: -0.020245 Loss_G: 0.007066 Loss_D_real: -0.004667 Loss_D_fake 0.015578
[1557/5000][230/535][160702] Loss_D: -0.020504 Loss_G: 0.002943 Loss_D_real: -0.018374 Loss_D_fake 0.002130
[1557/5000][235/535][160703] Loss_D: -0.019664 Loss_G: -0.008477 Loss_D_real: -0.009985 Loss_D_fake 0.009679
[1557/5000][240/535][160704] Loss_D: -0.019527 Loss_G: -0.007259 Loss_D_real: -0.002078 Loss_D_fake 0.017449
[1557/5000][245/535][160705] Loss_D: -0.020674 Loss_G: 0.013998 Loss_D_real: -0.017529 Loss_D_fake 0.003145
[1557/5000][250/535][160706] Loss_D: -0.020933 Loss_G: 0.003677 Loss_D_real: -0.003231 Loss_D_fake 0.017702
[1557/5000][255/535][160707] Loss_D: -0.019957 Loss_G: 0.000061 Loss_D_real: -0.012282 Loss_D_fake 0.007674
[1557/5000][260/535][160708] Loss_D: -0.019916 Loss_G: 0.002537 Loss_D_real: -0.023128 Loss_D_fake -0.003211
[1557/5000][265/535][160709] Loss_D: -0.019461 Loss_G: 0.019146 Loss_D_real: -0.027404 Loss_D_fake -0.007944
[1557/5000][270/535][160710] Loss_D: -0.018596 Loss_G: -0.018002 Loss_D_real: -0.001718 Loss_D_fake 0.016878
[1557/5000][275/535][160711] Loss_D: -0.019541 Loss_G: 0.009591 Loss_D_real: -0.013891 Loss_D_fake 0.005649
[1557/5000][280/535][160712] Loss_D: -0.017862 Loss_G: 0.015717 Loss_D_real: -0.023805 Loss_D_fake -0.005944
[1557/5000][285/535][160713] Loss_D: -0.019053 Loss_G: -0.011341 Loss_D_real: -0.003457 Loss_D_fake 0.015596
[1557/5000][290/535][160714] Loss_D: -0.021281 Loss_G: 0.017504 Loss_D_real: -0.020022 Loss_D_fake 0.001260
[1557/5000][295/535][160715] Loss_D: -0.018716 Loss_G: 0.022655 Loss_D_real: -0.024436 Loss_D_fake -0.005720
[1557/5000][300/535][160716] Loss_D: -0.019740 Loss_G: 0.004533 Loss_D_real: -0.020930 Loss_D_fake -0.001190
[1557/5000][305/535][160717] Loss_D: -0.019336 Loss_G: -0.003436 Loss_D_real: -0.005966 Loss_D_fake 0.013370
[1557/5000][310/535][160718] Loss_D: -0.019134 Loss_G: -0.001797 Loss_D_real: -0.012249 Loss_D_fake 0.006885
[1557/5000][315/535][160719] Loss_D: -0.019957 Loss_G: 0.002384 Loss_D_real: -0.009700 Loss_D_fake 0.010257
[1557/5000][320/535][160720] Loss_D: -0.019696 Loss_G: 0.006907 Loss_D_real: -0.003674 Loss_D_fake 0.016022
[1557/5000][325/535][160721] Loss_D: -0.018471 Loss_G: 0.010087 Loss_D_real: -0.016957 Loss_D_fake 0.001514
[1557/5000][330/535][160722] Loss_D: -0.018414 Loss_G: 0.020904 Loss_D_real: -0.022941 Loss_D_fake -0.004527
[1557/5000][335/535][160723] Loss_D: -0.019389 Loss_G: 0.010928 Loss_D_real: -0.009271 Loss_D_fake 0.010118
[1557/5000][340/535][160724] Loss_D: -0.018201 Loss_G: 0.001856 Loss_D_real: -0.018803 Loss_D_fake -0.000602
[1557/5000][345/535][160725] Loss_D: -0.020567 Loss_G: -0.000518 Loss_D_real: -0.018338 Loss_D_fake 0.002230
[1557/5000][350/535][160726] Loss_D: -0.019811 Loss_G: 0.018114 Loss_D_real: -0.026565 Loss_D_fake -0.006754
[1557/5000][355/535][160727] Loss_D: -0.018590 Loss_G: 0.023435 Loss_D_real: -0.012451 Loss_D_fake 0.006138
[1557/5000][360/535][160728] Loss_D: -0.018305 Loss_G: 0.010804 Loss_D_real: -0.013411 Loss_D_fake 0.004894
[1557/5000][365/535][160729] Loss_D: -0.018656 Loss_G: 0.001264 Loss_D_real: -0.008611 Loss_D_fake 0.010044
[1557/5000][370/535][160730] Loss_D: -0.019571 Loss_G: -0.010649 Loss_D_real: 0.002576 Loss_D_fake 0.022147
[1557/5000][375/535][160731] Loss_D: -0.019203 Loss_G: -0.012095 Loss_D_real: -0.007114 Loss_D_fake 0.012089
[1557/5000][380/535][160732] Loss_D: -0.020365 Loss_G: 0.017400 Loss_D_real: -0.019638 Loss_D_fake 0.000728
[1557/5000][385/535][160733] Loss_D: -0.019223 Loss_G: -0.015034 Loss_D_real: 0.000873 Loss_D_fake 0.020096
[1557/5000][390/535][160734] Loss_D: -0.015524 Loss_G: 0.038116 Loss_D_real: -0.036112 Loss_D_fake -0.020588
[1557/5000][395/535][160735] Loss_D: -0.019278 Loss_G: 0.001072 Loss_D_real: -0.010307 Loss_D_fake 0.008971
[1557/5000][400/535][160736] Loss_D: -0.019264 Loss_G: -0.002797 Loss_D_real: 0.004851 Loss_D_fake 0.024115
[1557/5000][405/535][160737] Loss_D: -0.020980 Loss_G: 0.022487 Loss_D_real: -0.022953 Loss_D_fake -0.001973
[1557/5000][410/535][160738] Loss_D: -0.020032 Loss_G: 0.013366 Loss_D_real: -0.007341 Loss_D_fake 0.012691
[1557/5000][415/535][160739] Loss_D: -0.018994 Loss_G: 0.005664 Loss_D_real: -0.018905 Loss_D_fake 0.000089
[1557/5000][420/535][160740] Loss_D: -0.020067 Loss_G: -0.014656 Loss_D_real: 0.002986 Loss_D_fake 0.023053
[1557/5000][425/535][160741] Loss_D: -0.019684 Loss_G: 0.008395 Loss_D_real: -0.008731 Loss_D_fake 0.010953
[1557/5000][430/535][160742] Loss_D: -0.019821 Loss_G: 0.008253 Loss_D_real: -0.019912 Loss_D_fake -0.000091
[1557/5000][435/535][160743] Loss_D: -0.019657 Loss_G: 0.009183 Loss_D_real: -0.026803 Loss_D_fake -0.007146
[1557/5000][440/535][160744] Loss_D: -0.019933 Loss_G: 0.015319 Loss_D_real: -0.007554 Loss_D_fake 0.012379
[1557/5000][445/535][160745] Loss_D: -0.020189 Loss_G: 0.013928 Loss_D_real: -0.015837 Loss_D_fake 0.004351
[1557/5000][450/535][160746] Loss_D: -0.018879 Loss_G: 0.029759 Loss_D_real: -0.028993 Loss_D_fake -0.010114
[1557/5000][455/535][160747] Loss_D: -0.019606 Loss_G: 0.006626 Loss_D_real: -0.017577 Loss_D_fake 0.002029
[1557/5000][460/535][160748] Loss_D: -0.019575 Loss_G: 0.014701 Loss_D_real: -0.014813 Loss_D_fake 0.004761
[1557/5000][465/535][160749] Loss_D: -0.019062 Loss_G: 0.004239 Loss_D_real: -0.019792 Loss_D_fake -0.000731
[1557/5000][470/535][160750] Loss_D: -0.018788 Loss_G: 0.014716 Loss_D_real: -0.024309 Loss_D_fake -0.005520
[1557/5000][475/535][160751] Loss_D: -0.019024 Loss_G: 0.013444 Loss_D_real: -0.028640 Loss_D_fake -0.009616
[1557/5000][480/535][160752] Loss_D: -0.018405 Loss_G: -0.009235 Loss_D_real: -0.000214 Loss_D_fake 0.018191
[1557/5000][485/535][160753] Loss_D: -0.019133 Loss_G: 0.018999 Loss_D_real: -0.020441 Loss_D_fake -0.001308
[1557/5000][490/535][160754] Loss_D: -0.018917 Loss_G: 0.008327 Loss_D_real: -0.023409 Loss_D_fake -0.004492
[1557/5000][495/535][160755] Loss_D: -0.018810 Loss_G: 0.023182 Loss_D_real: -0.033528 Loss_D_fake -0.014719
[1557/5000][500/535][160756] Loss_D: -0.019827 Loss_G: -0.007465 Loss_D_real: -0.016080 Loss_D_fake 0.003748
[1557/5000][505/535][160757] Loss_D: -0.019749 Loss_G: 0.002469 Loss_D_real: -0.011325 Loss_D_fake 0.008424
[1557/5000][510/535][160758] Loss_D: -0.018501 Loss_G: -0.001836 Loss_D_real: -0.008160 Loss_D_fake 0.010341
[1557/5000][515/535][160759] Loss_D: -0.018797 Loss_G: -0.003811 Loss_D_real: -0.005799 Loss_D_fake 0.012998
[1557/5000][520/535][160760] Loss_D: -0.018605 Loss_G: 0.023940 Loss_D_real: -0.007931 Loss_D_fake 0.010674
[1557/5000][525/535][160761] Loss_D: -0.018084 Loss_G: -0.011337 Loss_D_real: -0.014121 Loss_D_fake 0.003963
[1557/5000][530/535][160762] Loss_D: -0.019468 Loss_G: 0.004094 Loss_D_real: -0.004927 Loss_D_fake 0.014541
[1557/5000][535/535][160763] Loss_D: -0.021135 Loss_G: -0.000751 Loss_D_real: -0.007525 Loss_D_fake 0.013610
[1558/5000][5/535][160764] Loss_D: -0.019621 Loss_G: 0.002144 Loss_D_real: -0.017149 Loss_D_fake 0.002473
[1558/5000][10/535][160765] Loss_D: -0.020157 Loss_G: 0.000369 Loss_D_real: -0.024587 Loss_D_fake -0.004430
[1558/5000][15/535][160766] Loss_D: -0.019873 Loss_G: 0.018389 Loss_D_real: -0.011533 Loss_D_fake 0.008341
[1558/5000][20/535][160767] Loss_D: -0.019980 Loss_G: 0.005087 Loss_D_real: -0.005898 Loss_D_fake 0.014082
[1558/5000][25/535][160768] Loss_D: -0.018598 Loss_G: 0.016699 Loss_D_real: -0.016224 Loss_D_fake 0.002374
[1558/5000][30/535][160769] Loss_D: -0.019381 Loss_G: -0.002434 Loss_D_real: -0.009409 Loss_D_fake 0.009973
[1558/5000][35/535][160770] Loss_D: -0.018969 Loss_G: 0.022048 Loss_D_real: -0.024960 Loss_D_fake -0.005991
[1558/5000][40/535][160771] Loss_D: -0.018768 Loss_G: 0.017642 Loss_D_real: -0.024368 Loss_D_fake -0.005600
[1558/5000][45/535][160772] Loss_D: -0.020264 Loss_G: -0.009854 Loss_D_real: -0.013755 Loss_D_fake 0.006509
[1558/5000][50/535][160773] Loss_D: -0.019680 Loss_G: 0.012770 Loss_D_real: -0.022441 Loss_D_fake -0.002762
[1558/5000][55/535][160774] Loss_D: -0.017869 Loss_G: 0.008594 Loss_D_real: -0.022991 Loss_D_fake -0.005122
[1558/5000][60/535][160775] Loss_D: -0.018565 Loss_G: 0.016949 Loss_D_real: -0.016986 Loss_D_fake 0.001579
[1558/5000][65/535][160776] Loss_D: -0.020562 Loss_G: 0.013979 Loss_D_real: -0.011949 Loss_D_fake 0.008613
[1558/5000][70/535][160777] Loss_D: -0.018673 Loss_G: 0.011394 Loss_D_real: -0.015766 Loss_D_fake 0.002907
[1558/5000][75/535][160778] Loss_D: -0.018174 Loss_G: 0.008304 Loss_D_real: -0.021050 Loss_D_fake -0.002876
[1558/5000][80/535][160779] Loss_D: -0.019969 Loss_G: 0.017539 Loss_D_real: -0.025651 Loss_D_fake -0.005681
[1558/5000][85/535][160780] Loss_D: -0.018537 Loss_G: -0.001042 Loss_D_real: -0.018441 Loss_D_fake 0.000096
[1558/5000][90/535][160781] Loss_D: -0.019085 Loss_G: 0.026882 Loss_D_real: -0.021606 Loss_D_fake -0.002521
[1558/5000][95/535][160782] Loss_D: -0.020279 Loss_G: -0.000618 Loss_D_real: -0.014732 Loss_D_fake 0.005547
[1558/5000][100/535][160783] Loss_D: -0.017981 Loss_G: 0.025183 Loss_D_real: -0.029163 Loss_D_fake -0.011182
[1558/5000][105/535][160784] Loss_D: -0.018983 Loss_G: 0.010412 Loss_D_real: -0.032344 Loss_D_fake -0.013362
[1558/5000][110/535][160785] Loss_D: -0.019700 Loss_G: 0.002147 Loss_D_real: -0.016220 Loss_D_fake 0.003480
[1558/5000][115/535][160786] Loss_D: -0.018904 Loss_G: 0.026462 Loss_D_real: -0.026832 Loss_D_fake -0.007929
[1558/5000][120/535][160787] Loss_D: -0.019717 Loss_G: 0.008239 Loss_D_real: -0.018317 Loss_D_fake 0.001400
[1558/5000][125/535][160788] Loss_D: -0.020379 Loss_G: -0.006183 Loss_D_real: -0.004120 Loss_D_fake 0.016259
[1558/5000][130/535][160789] Loss_D: -0.020600 Loss_G: -0.002552 Loss_D_real: -0.014907 Loss_D_fake 0.005693
[1558/5000][135/535][160790] Loss_D: -0.020529 Loss_G: 0.016495 Loss_D_real: -0.021342 Loss_D_fake -0.000812
[1558/5000][140/535][160791] Loss_D: -0.019792 Loss_G: 0.021569 Loss_D_real: -0.030934 Loss_D_fake -0.011142
[1558/5000][145/535][160792] Loss_D: -0.020232 Loss_G: 0.016457 Loss_D_real: -0.016790 Loss_D_fake 0.003441
[1558/5000][150/535][160793] Loss_D: -0.021047 Loss_G: 0.008377 Loss_D_real: -0.020849 Loss_D_fake 0.000197
[1558/5000][155/535][160794] Loss_D: -0.020369 Loss_G: -0.004975 Loss_D_real: -0.011027 Loss_D_fake 0.009341
[1558/5000][160/535][160795] Loss_D: -0.018960 Loss_G: 0.012668 Loss_D_real: -0.009433 Loss_D_fake 0.009527
[1558/5000][165/535][160796] Loss_D: -0.020251 Loss_G: -0.000025 Loss_D_real: -0.018142 Loss_D_fake 0.002109
[1558/5000][170/535][160797] Loss_D: -0.018865 Loss_G: 0.015169 Loss_D_real: -0.026186 Loss_D_fake -0.007322
[1558/5000][175/535][160798] Loss_D: -0.020005 Loss_G: 0.014182 Loss_D_real: -0.021964 Loss_D_fake -0.001959
[1558/5000][180/535][160799] Loss_D: -0.018634 Loss_G: -0.003601 Loss_D_real: -0.000757 Loss_D_fake 0.017877
[1558/5000][185/535][160800] Loss_D: -0.018264 Loss_G: 0.001574 Loss_D_real: -0.012090 Loss_D_fake 0.006174
[1558/5000][190/535][160801] Loss_D: -0.018102 Loss_G: 0.034789 Loss_D_real: -0.029021 Loss_D_fake -0.010919
[1558/5000][195/535][160802] Loss_D: -0.018859 Loss_G: 0.018479 Loss_D_real: -0.015200 Loss_D_fake 0.003659
[1558/5000][200/535][160803] Loss_D: -0.019397 Loss_G: 0.001560 Loss_D_real: -0.010972 Loss_D_fake 0.008425
[1558/5000][205/535][160804] Loss_D: -0.017905 Loss_G: -0.003730 Loss_D_real: -0.004935 Loss_D_fake 0.012969
[1558/5000][210/535][160805] Loss_D: -0.018725 Loss_G: -0.000505 Loss_D_real: -0.020873 Loss_D_fake -0.002149
[1558/5000][215/535][160806] Loss_D: -0.018231 Loss_G: 0.005829 Loss_D_real: -0.015837 Loss_D_fake 0.002394
[1558/5000][220/535][160807] Loss_D: -0.019663 Loss_G: 0.021421 Loss_D_real: -0.027005 Loss_D_fake -0.007342
[1558/5000][225/535][160808] Loss_D: -0.017944 Loss_G: 0.007062 Loss_D_real: -0.022762 Loss_D_fake -0.004818
[1558/5000][230/535][160809] Loss_D: -0.019143 Loss_G: 0.002114 Loss_D_real: -0.012915 Loss_D_fake 0.006228
[1558/5000][235/535][160810] Loss_D: -0.019432 Loss_G: 0.014759 Loss_D_real: -0.010750 Loss_D_fake 0.008682
[1558/5000][240/535][160811] Loss_D: -0.019329 Loss_G: 0.001763 Loss_D_real: -0.020234 Loss_D_fake -0.000905
[1558/5000][245/535][160812] Loss_D: -0.019047 Loss_G: -0.002696 Loss_D_real: -0.018423 Loss_D_fake 0.000624
[1558/5000][250/535][160813] Loss_D: -0.018925 Loss_G: -0.009560 Loss_D_real: -0.011889 Loss_D_fake 0.007036
[1558/5000][255/535][160814] Loss_D: -0.018154 Loss_G: 0.023557 Loss_D_real: -0.025922 Loss_D_fake -0.007768
[1558/5000][260/535][160815] Loss_D: -0.018482 Loss_G: -0.011655 Loss_D_real: -0.002163 Loss_D_fake 0.016319
[1558/5000][265/535][160816] Loss_D: -0.019543 Loss_G: -0.009851 Loss_D_real: -0.005591 Loss_D_fake 0.013952
[1558/5000][270/535][160817] Loss_D: -0.019566 Loss_G: 0.012921 Loss_D_real: -0.017015 Loss_D_fake 0.002551
[1558/5000][275/535][160818] Loss_D: -0.018566 Loss_G: 0.012721 Loss_D_real: -0.012253 Loss_D_fake 0.006313
[1558/5000][280/535][160819] Loss_D: -0.019481 Loss_G: 0.022175 Loss_D_real: -0.013106 Loss_D_fake 0.006375
[1558/5000][285/535][160820] Loss_D: -0.020666 Loss_G: 0.000612 Loss_D_real: -0.023417 Loss_D_fake -0.002751
[1558/5000][290/535][160821] Loss_D: -0.019985 Loss_G: 0.011875 Loss_D_real: -0.021542 Loss_D_fake -0.001557
[1558/5000][295/535][160822] Loss_D: -0.019687 Loss_G: 0.019467 Loss_D_real: -0.029351 Loss_D_fake -0.009664
[1558/5000][300/535][160823] Loss_D: -0.019909 Loss_G: -0.003197 Loss_D_real: -0.014214 Loss_D_fake 0.005695
[1558/5000][305/535][160824] Loss_D: -0.018951 Loss_G: -0.008227 Loss_D_real: 0.005308 Loss_D_fake 0.024259
[1558/5000][310/535][160825] Loss_D: -0.019745 Loss_G: 0.011936 Loss_D_real: -0.023649 Loss_D_fake -0.003904
[1558/5000][315/535][160826] Loss_D: -0.019949 Loss_G: -0.004327 Loss_D_real: -0.011976 Loss_D_fake 0.007972
[1558/5000][320/535][160827] Loss_D: -0.019846 Loss_G: 0.013274 Loss_D_real: -0.028132 Loss_D_fake -0.008286
[1558/5000][325/535][160828] Loss_D: -0.019673 Loss_G: 0.017005 Loss_D_real: -0.025789 Loss_D_fake -0.006117
[1558/5000][330/535][160829] Loss_D: -0.019609 Loss_G: 0.010743 Loss_D_real: -0.014934 Loss_D_fake 0.004675
[1558/5000][335/535][160830] Loss_D: -0.018668 Loss_G: 0.013636 Loss_D_real: -0.023767 Loss_D_fake -0.005099
[1558/5000][340/535][160831] Loss_D: -0.019333 Loss_G: 0.026179 Loss_D_real: -0.021740 Loss_D_fake -0.002407
[1558/5000][345/535][160832] Loss_D: -0.020440 Loss_G: 0.005519 Loss_D_real: -0.015550 Loss_D_fake 0.004890
[1558/5000][350/535][160833] Loss_D: -0.019223 Loss_G: 0.000475 Loss_D_real: -0.015428 Loss_D_fake 0.003795
[1558/5000][355/535][160834] Loss_D: -0.019535 Loss_G: 0.007939 Loss_D_real: -0.005085 Loss_D_fake 0.014450
[1558/5000][360/535][160835] Loss_D: -0.019924 Loss_G: -0.004652 Loss_D_real: -0.015043 Loss_D_fake 0.004881
[1558/5000][365/535][160836] Loss_D: -0.019625 Loss_G: 0.021998 Loss_D_real: -0.024721 Loss_D_fake -0.005096
[1558/5000][370/535][160837] Loss_D: -0.019901 Loss_G: -0.001400 Loss_D_real: -0.020366 Loss_D_fake -0.000465
[1558/5000][375/535][160838] Loss_D: -0.018088 Loss_G: -0.002182 Loss_D_real: -0.006044 Loss_D_fake 0.012044
[1558/5000][380/535][160839] Loss_D: -0.019270 Loss_G: 0.018443 Loss_D_real: -0.017721 Loss_D_fake 0.001549
[1558/5000][385/535][160840] Loss_D: -0.019877 Loss_G: 0.008779 Loss_D_real: -0.017504 Loss_D_fake 0.002373
[1558/5000][390/535][160841] Loss_D: -0.018673 Loss_G: 0.000982 Loss_D_real: -0.009972 Loss_D_fake 0.008701
[1558/5000][395/535][160842] Loss_D: -0.019217 Loss_G: 0.001723 Loss_D_real: -0.023536 Loss_D_fake -0.004319
[1558/5000][400/535][160843] Loss_D: -0.019054 Loss_G: 0.027402 Loss_D_real: -0.021783 Loss_D_fake -0.002730
[1558/5000][405/535][160844] Loss_D: -0.018070 Loss_G: -0.013856 Loss_D_real: 0.012203 Loss_D_fake 0.030273
[1558/5000][410/535][160845] Loss_D: -0.019219 Loss_G: 0.014925 Loss_D_real: -0.005434 Loss_D_fake 0.013784
[1558/5000][415/535][160846] Loss_D: -0.019202 Loss_G: 0.012695 Loss_D_real: -0.021994 Loss_D_fake -0.002792
[1558/5000][420/535][160847] Loss_D: -0.019598 Loss_G: 0.002453 Loss_D_real: -0.029049 Loss_D_fake -0.009451
[1558/5000][425/535][160848] Loss_D: -0.020052 Loss_G: -0.002188 Loss_D_real: -0.019496 Loss_D_fake 0.000556
[1558/5000][430/535][160849] Loss_D: -0.020520 Loss_G: 0.009300 Loss_D_real: -0.022778 Loss_D_fake -0.002258
[1558/5000][435/535][160850] Loss_D: -0.019160 Loss_G: 0.029775 Loss_D_real: -0.026725 Loss_D_fake -0.007565
[1558/5000][440/535][160851] Loss_D: -0.020927 Loss_G: -0.007294 Loss_D_real: -0.014391 Loss_D_fake 0.006536
[1558/5000][445/535][160852] Loss_D: -0.019224 Loss_G: 0.010350 Loss_D_real: -0.010616 Loss_D_fake 0.008608
[1558/5000][450/535][160853] Loss_D: -0.019384 Loss_G: 0.000614 Loss_D_real: -0.011495 Loss_D_fake 0.007890
[1558/5000][455/535][160854] Loss_D: -0.018692 Loss_G: -0.006884 Loss_D_real: -0.002259 Loss_D_fake 0.016433
[1558/5000][460/535][160855] Loss_D: -0.019114 Loss_G: 0.012664 Loss_D_real: -0.009715 Loss_D_fake 0.009399
[1558/5000][465/535][160856] Loss_D: -0.019499 Loss_G: 0.005094 Loss_D_real: -0.028453 Loss_D_fake -0.008954
[1558/5000][470/535][160857] Loss_D: -0.019536 Loss_G: 0.016057 Loss_D_real: -0.019644 Loss_D_fake -0.000107
[1558/5000][475/535][160858] Loss_D: -0.020475 Loss_G: 0.016790 Loss_D_real: -0.023989 Loss_D_fake -0.003515
[1558/5000][480/535][160859] Loss_D: -0.020233 Loss_G: 0.004981 Loss_D_real: -0.016240 Loss_D_fake 0.003992
[1558/5000][485/535][160860] Loss_D: -0.019676 Loss_G: 0.006017 Loss_D_real: -0.013002 Loss_D_fake 0.006674
[1558/5000][490/535][160861] Loss_D: -0.018797 Loss_G: -0.004226 Loss_D_real: -0.012430 Loss_D_fake 0.006367
[1558/5000][495/535][160862] Loss_D: -0.020626 Loss_G: 0.023475 Loss_D_real: -0.017688 Loss_D_fake 0.002939
[1558/5000][500/535][160863] Loss_D: -0.019513 Loss_G: -0.005238 Loss_D_real: -0.012217 Loss_D_fake 0.007296
[1558/5000][505/535][160864] Loss_D: -0.018067 Loss_G: 0.011562 Loss_D_real: -0.008743 Loss_D_fake 0.009324
[1558/5000][510/535][160865] Loss_D: -0.019546 Loss_G: 0.016522 Loss_D_real: -0.018394 Loss_D_fake 0.001152
[1558/5000][515/535][160866] Loss_D: -0.020407 Loss_G: -0.002092 Loss_D_real: -0.019752 Loss_D_fake 0.000655
[1558/5000][520/535][160867] Loss_D: -0.019923 Loss_G: -0.006652 Loss_D_real: -0.004570 Loss_D_fake 0.015352
[1558/5000][525/535][160868] Loss_D: -0.021080 Loss_G: 0.018767 Loss_D_real: -0.027370 Loss_D_fake -0.006289
[1558/5000][530/535][160869] Loss_D: -0.020353 Loss_G: 0.010201 Loss_D_real: -0.026190 Loss_D_fake -0.005837
[1558/5000][535/535][160870] Loss_D: -0.019243 Loss_G: 0.024615 Loss_D_real: -0.014600 Loss_D_fake 0.004643
[1559/5000][5/535][160871] Loss_D: -0.019299 Loss_G: 0.010861 Loss_D_real: -0.026484 Loss_D_fake -0.007185
[1559/5000][10/535][160872] Loss_D: -0.020235 Loss_G: 0.001297 Loss_D_real: -0.006539 Loss_D_fake 0.013696
[1559/5000][15/535][160873] Loss_D: -0.020145 Loss_G: 0.006665 Loss_D_real: -0.012457 Loss_D_fake 0.007689
[1559/5000][20/535][160874] Loss_D: -0.019919 Loss_G: 0.014278 Loss_D_real: -0.018785 Loss_D_fake 0.001134
[1559/5000][25/535][160875] Loss_D: -0.018811 Loss_G: 0.013825 Loss_D_real: -0.030222 Loss_D_fake -0.011411
[1559/5000][30/535][160876] Loss_D: -0.019626 Loss_G: 0.025047 Loss_D_real: -0.023016 Loss_D_fake -0.003390
[1559/5000][35/535][160877] Loss_D: -0.020153 Loss_G: -0.001075 Loss_D_real: -0.006132 Loss_D_fake 0.014021
[1559/5000][40/535][160878] Loss_D: -0.016981 Loss_G: 0.019570 Loss_D_real: -0.035706 Loss_D_fake -0.018725
[1559/5000][45/535][160879] Loss_D: -0.019498 Loss_G: 0.007655 Loss_D_real: -0.024161 Loss_D_fake -0.004662
[1559/5000][50/535][160880] Loss_D: -0.019125 Loss_G: 0.034322 Loss_D_real: -0.031148 Loss_D_fake -0.012024
[1559/5000][55/535][160881] Loss_D: -0.019898 Loss_G: 0.002611 Loss_D_real: -0.019814 Loss_D_fake 0.000084
[1559/5000][60/535][160882] Loss_D: -0.020832 Loss_G: -0.001984 Loss_D_real: -0.023239 Loss_D_fake -0.002407
[1559/5000][65/535][160883] Loss_D: -0.020076 Loss_G: -0.001812 Loss_D_real: -0.006669 Loss_D_fake 0.013408
[1559/5000][70/535][160884] Loss_D: -0.019770 Loss_G: 0.018949 Loss_D_real: -0.013696 Loss_D_fake 0.006074
[1559/5000][75/535][160885] Loss_D: -0.019406 Loss_G: 0.000772 Loss_D_real: -0.023827 Loss_D_fake -0.004421
[1559/5000][80/535][160886] Loss_D: -0.018986 Loss_G: 0.007313 Loss_D_real: -0.017394 Loss_D_fake 0.001592
[1559/5000][85/535][160887] Loss_D: -0.020146 Loss_G: 0.001205 Loss_D_real: -0.009922 Loss_D_fake 0.010224
[1559/5000][90/535][160888] Loss_D: -0.018474 Loss_G: 0.022876 Loss_D_real: -0.019447 Loss_D_fake -0.000973
[1559/5000][95/535][160889] Loss_D: -0.017678 Loss_G: 0.006947 Loss_D_real: -0.025173 Loss_D_fake -0.007495
[1559/5000][100/535][160890] Loss_D: -0.019767 Loss_G: -0.004100 Loss_D_real: -0.011400 Loss_D_fake 0.008367
[1559/5000][105/535][160891] Loss_D: -0.017627 Loss_G: 0.028821 Loss_D_real: -0.033348 Loss_D_fake -0.015721
[1559/5000][110/535][160892] Loss_D: -0.018761 Loss_G: -0.005332 Loss_D_real: 0.004619 Loss_D_fake 0.023380
[1559/5000][115/535][160893] Loss_D: -0.018154 Loss_G: 0.014142 Loss_D_real: -0.027016 Loss_D_fake -0.008863
[1559/5000][120/535][160894] Loss_D: -0.017400 Loss_G: 0.015410 Loss_D_real: -0.028737 Loss_D_fake -0.011338
[1559/5000][125/535][160895] Loss_D: -0.019070 Loss_G: 0.010545 Loss_D_real: -0.023144 Loss_D_fake -0.004074
[1559/5000][130/535][160896] Loss_D: -0.019556 Loss_G: -0.000907 Loss_D_real: -0.023271 Loss_D_fake -0.003715
[1559/5000][135/535][160897] Loss_D: -0.019130 Loss_G: 0.004031 Loss_D_real: -0.007810 Loss_D_fake 0.011321
[1559/5000][140/535][160898] Loss_D: -0.018670 Loss_G: 0.015172 Loss_D_real: -0.020875 Loss_D_fake -0.002205
[1559/5000][145/535][160899] Loss_D: -0.018665 Loss_G: -0.014244 Loss_D_real: -0.003833 Loss_D_fake 0.014832
[1559/5000][150/535][160900] Loss_D: -0.018992 Loss_G: -0.012628 Loss_D_real: -0.012062 Loss_D_fake 0.006930
[1559/5000][155/535][160901] Loss_D: -0.019318 Loss_G: -0.010462 Loss_D_real: -0.004678 Loss_D_fake 0.014641
[1559/5000][160/535][160902] Loss_D: -0.020305 Loss_G: 0.008814 Loss_D_real: -0.008951 Loss_D_fake 0.011354
[1559/5000][165/535][160903] Loss_D: -0.020937 Loss_G: 0.013980 Loss_D_real: -0.021802 Loss_D_fake -0.000864
[1559/5000][170/535][160904] Loss_D: -0.020732 Loss_G: 0.011921 Loss_D_real: -0.024591 Loss_D_fake -0.003859
[1559/5000][175/535][160905] Loss_D: -0.021259 Loss_G: 0.015250 Loss_D_real: -0.011856 Loss_D_fake 0.009403
[1559/5000][180/535][160906] Loss_D: -0.019858 Loss_G: 0.001214 Loss_D_real: -0.020376 Loss_D_fake -0.000518
[1559/5000][185/535][160907] Loss_D: -0.020327 Loss_G: 0.009362 Loss_D_real: -0.015276 Loss_D_fake 0.005051
[1559/5000][190/535][160908] Loss_D: -0.020024 Loss_G: -0.013507 Loss_D_real: -0.000277 Loss_D_fake 0.019747
[1559/5000][195/535][160909] Loss_D: -0.019877 Loss_G: 0.008142 Loss_D_real: -0.020769 Loss_D_fake -0.000892
[1559/5000][200/535][160910] Loss_D: -0.020121 Loss_G: 0.013370 Loss_D_real: -0.018472 Loss_D_fake 0.001649
[1559/5000][205/535][160911] Loss_D: -0.020525 Loss_G: 0.024239 Loss_D_real: -0.023993 Loss_D_fake -0.003468
[1559/5000][210/535][160912] Loss_D: -0.019816 Loss_G: 0.008721 Loss_D_real: -0.019185 Loss_D_fake 0.000631
[1559/5000][215/535][160913] Loss_D: -0.019699 Loss_G: 0.007540 Loss_D_real: -0.007506 Loss_D_fake 0.012192
[1559/5000][220/535][160914] Loss_D: -0.018573 Loss_G: 0.031919 Loss_D_real: -0.034368 Loss_D_fake -0.015795
[1559/5000][225/535][160915] Loss_D: -0.018734 Loss_G: 0.004889 Loss_D_real: -0.009194 Loss_D_fake 0.009539
[1559/5000][230/535][160916] Loss_D: -0.019281 Loss_G: 0.000280 Loss_D_real: -0.024409 Loss_D_fake -0.005128
[1559/5000][235/535][160917] Loss_D: -0.018460 Loss_G: 0.025050 Loss_D_real: -0.031442 Loss_D_fake -0.012982
[1559/5000][240/535][160918] Loss_D: -0.019339 Loss_G: 0.009220 Loss_D_real: -0.016765 Loss_D_fake 0.002574
[1559/5000][245/535][160919] Loss_D: -0.018716 Loss_G: 0.022000 Loss_D_real: -0.019800 Loss_D_fake -0.001085
[1559/5000][250/535][160920] Loss_D: -0.019959 Loss_G: 0.012473 Loss_D_real: -0.012342 Loss_D_fake 0.007617
[1559/5000][255/535][160921] Loss_D: -0.019183 Loss_G: 0.000191 Loss_D_real: -0.011145 Loss_D_fake 0.008039
[1559/5000][260/535][160922] Loss_D: -0.019598 Loss_G: -0.004977 Loss_D_real: -0.014625 Loss_D_fake 0.004973
[1559/5000][265/535][160923] Loss_D: -0.019633 Loss_G: -0.010085 Loss_D_real: -0.007314 Loss_D_fake 0.012319
[1559/5000][270/535][160924] Loss_D: -0.020580 Loss_G: 0.011382 Loss_D_real: -0.019366 Loss_D_fake 0.001214
[1559/5000][275/535][160925] Loss_D: -0.019122 Loss_G: -0.002123 Loss_D_real: -0.005573 Loss_D_fake 0.013549
[1559/5000][280/535][160926] Loss_D: -0.019097 Loss_G: 0.010155 Loss_D_real: -0.011420 Loss_D_fake 0.007676
[1559/5000][285/535][160927] Loss_D: -0.019581 Loss_G: 0.006398 Loss_D_real: -0.025984 Loss_D_fake -0.006403
[1559/5000][290/535][160928] Loss_D: -0.019884 Loss_G: -0.002255 Loss_D_real: -0.007730 Loss_D_fake 0.012155
[1559/5000][295/535][160929] Loss_D: -0.019500 Loss_G: 0.029452 Loss_D_real: -0.027968 Loss_D_fake -0.008468
[1559/5000][300/535][160930] Loss_D: -0.020111 Loss_G: 0.005124 Loss_D_real: -0.005244 Loss_D_fake 0.014867
[1559/5000][305/535][160931] Loss_D: -0.019798 Loss_G: 0.012827 Loss_D_real: -0.029568 Loss_D_fake -0.009770
[1559/5000][310/535][160932] Loss_D: -0.018671 Loss_G: 0.030677 Loss_D_real: -0.018826 Loss_D_fake -0.000155
[1559/5000][315/535][160933] Loss_D: -0.019737 Loss_G: -0.004725 Loss_D_real: -0.006824 Loss_D_fake 0.012912
[1559/5000][320/535][160934] Loss_D: -0.018729 Loss_G: -0.005130 Loss_D_real: -0.015037 Loss_D_fake 0.003692
[1559/5000][325/535][160935] Loss_D: -0.020074 Loss_G: 0.000019 Loss_D_real: -0.014991 Loss_D_fake 0.005082
[1559/5000][330/535][160936] Loss_D: -0.018718 Loss_G: -0.003393 Loss_D_real: -0.006919 Loss_D_fake 0.011799
[1559/5000][335/535][160937] Loss_D: -0.020401 Loss_G: -0.004783 Loss_D_real: -0.015910 Loss_D_fake 0.004491
[1559/5000][340/535][160938] Loss_D: -0.018988 Loss_G: 0.007221 Loss_D_real: -0.025389 Loss_D_fake -0.006401
[1559/5000][345/535][160939] Loss_D: -0.019810 Loss_G: 0.021310 Loss_D_real: -0.023976 Loss_D_fake -0.004166
[1559/5000][350/535][160940] Loss_D: -0.019317 Loss_G: 0.000973 Loss_D_real: 0.001963 Loss_D_fake 0.021280
[1559/5000][355/535][160941] Loss_D: -0.017951 Loss_G: 0.006841 Loss_D_real: -0.033207 Loss_D_fake -0.015256
[1559/5000][360/535][160942] Loss_D: -0.020650 Loss_G: 0.015281 Loss_D_real: -0.021163 Loss_D_fake -0.000513
[1559/5000][365/535][160943] Loss_D: -0.019611 Loss_G: 0.006492 Loss_D_real: -0.016223 Loss_D_fake 0.003389
[1559/5000][370/535][160944] Loss_D: -0.020670 Loss_G: 0.001296 Loss_D_real: -0.002571 Loss_D_fake 0.018099
[1559/5000][375/535][160945] Loss_D: -0.018613 Loss_G: 0.009131 Loss_D_real: -0.014695 Loss_D_fake 0.003918
[1559/5000][380/535][160946] Loss_D: -0.019001 Loss_G: 0.019903 Loss_D_real: -0.030163 Loss_D_fake -0.011162
[1559/5000][385/535][160947] Loss_D: -0.017925 Loss_G: -0.023446 Loss_D_real: 0.003735 Loss_D_fake 0.021660
[1559/5000][390/535][160948] Loss_D: -0.017834 Loss_G: 0.010180 Loss_D_real: -0.025440 Loss_D_fake -0.007606
[1559/5000][395/535][160949] Loss_D: -0.020199 Loss_G: 0.016173 Loss_D_real: -0.019986 Loss_D_fake 0.000213
[1559/5000][400/535][160950] Loss_D: -0.019625 Loss_G: 0.002084 Loss_D_real: -0.004231 Loss_D_fake 0.015395
[1559/5000][405/535][160951] Loss_D: -0.019531 Loss_G: 0.016139 Loss_D_real: -0.030757 Loss_D_fake -0.011226
[1559/5000][410/535][160952] Loss_D: -0.019429 Loss_G: -0.008164 Loss_D_real: -0.004780 Loss_D_fake 0.014649
[1559/5000][415/535][160953] Loss_D: -0.017600 Loss_G: -0.008907 Loss_D_real: -0.005086 Loss_D_fake 0.012514
[1559/5000][420/535][160954] Loss_D: -0.018491 Loss_G: 0.019662 Loss_D_real: -0.021356 Loss_D_fake -0.002864
[1559/5000][425/535][160955] Loss_D: -0.017411 Loss_G: -0.018285 Loss_D_real: 0.002255 Loss_D_fake 0.019666
[1559/5000][430/535][160956] Loss_D: -0.017833 Loss_G: 0.010988 Loss_D_real: -0.024349 Loss_D_fake -0.006516
[1559/5000][435/535][160957] Loss_D: -0.020105 Loss_G: 0.009149 Loss_D_real: -0.024660 Loss_D_fake -0.004555
[1559/5000][440/535][160958] Loss_D: -0.017718 Loss_G: 0.021590 Loss_D_real: -0.018469 Loss_D_fake -0.000751
[1559/5000][445/535][160959] Loss_D: -0.017164 Loss_G: 0.004145 Loss_D_real: -0.018116 Loss_D_fake -0.000951
[1559/5000][450/535][160960] Loss_D: -0.020374 Loss_G: 0.012758 Loss_D_real: -0.011140 Loss_D_fake 0.009234
[1559/5000][455/535][160961] Loss_D: -0.019235 Loss_G: 0.022300 Loss_D_real: -0.018997 Loss_D_fake 0.000239
[1559/5000][460/535][160962] Loss_D: -0.018481 Loss_G: 0.020917 Loss_D_real: -0.023563 Loss_D_fake -0.005083
[1559/5000][465/535][160963] Loss_D: -0.020488 Loss_G: 0.005225 Loss_D_real: -0.012297 Loss_D_fake 0.008191
[1559/5000][470/535][160964] Loss_D: -0.018624 Loss_G: 0.016906 Loss_D_real: -0.024419 Loss_D_fake -0.005795
[1559/5000][475/535][160965] Loss_D: -0.018166 Loss_G: 0.019063 Loss_D_real: -0.029004 Loss_D_fake -0.010838
[1559/5000][480/535][160966] Loss_D: -0.020017 Loss_G: 0.011490 Loss_D_real: -0.018746 Loss_D_fake 0.001271
[1559/5000][485/535][160967] Loss_D: -0.018371 Loss_G: 0.019357 Loss_D_real: -0.030858 Loss_D_fake -0.012487
[1559/5000][490/535][160968] Loss_D: -0.020666 Loss_G: 0.006344 Loss_D_real: -0.025871 Loss_D_fake -0.005205
[1559/5000][495/535][160969] Loss_D: -0.019576 Loss_G: 0.004351 Loss_D_real: -0.022754 Loss_D_fake -0.003179
[1559/5000][500/535][160970] Loss_D: -0.020031 Loss_G: 0.003661 Loss_D_real: -0.014310 Loss_D_fake 0.005721
[1559/5000][505/535][160971] Loss_D: -0.019389 Loss_G: 0.002172 Loss_D_real: -0.018205 Loss_D_fake 0.001184
[1559/5000][510/535][160972] Loss_D: -0.018654 Loss_G: 0.014058 Loss_D_real: -0.009632 Loss_D_fake 0.009022
[1559/5000][515/535][160973] Loss_D: -0.020094 Loss_G: -0.004438 Loss_D_real: -0.026519 Loss_D_fake -0.006424
[1559/5000][520/535][160974] Loss_D: -0.018957 Loss_G: 0.010336 Loss_D_real: -0.020510 Loss_D_fake -0.001553
[1559/5000][525/535][160975] Loss_D: -0.020536 Loss_G: 0.018417 Loss_D_real: -0.015473 Loss_D_fake 0.005064
[1559/5000][530/535][160976] Loss_D: -0.019047 Loss_G: -0.008936 Loss_D_real: -0.001097 Loss_D_fake 0.017949
[1559/5000][535/535][160977] Loss_D: -0.018707 Loss_G: -0.004760 Loss_D_real: 0.000170 Loss_D_fake 0.018878
[1560/5000][5/535][160978] Loss_D: -0.018323 Loss_G: 0.015047 Loss_D_real: -0.021991 Loss_D_fake -0.003668
[1560/5000][10/535][160979] Loss_D: -0.018350 Loss_G: -0.002410 Loss_D_real: -0.015577 Loss_D_fake 0.002773
[1560/5000][15/535][160980] Loss_D: -0.020525 Loss_G: 0.010083 Loss_D_real: -0.013057 Loss_D_fake 0.007468
[1560/5000][20/535][160981] Loss_D: -0.018023 Loss_G: 0.022519 Loss_D_real: -0.035616 Loss_D_fake -0.017593
[1560/5000][25/535][160982] Loss_D: -0.020222 Loss_G: 0.022044 Loss_D_real: -0.023201 Loss_D_fake -0.002978
[1560/5000][30/535][160983] Loss_D: -0.019128 Loss_G: 0.019547 Loss_D_real: -0.019307 Loss_D_fake -0.000178
[1560/5000][35/535][160984] Loss_D: -0.020057 Loss_G: 0.008845 Loss_D_real: -0.026705 Loss_D_fake -0.006648
[1560/5000][40/535][160985] Loss_D: -0.020403 Loss_G: 0.008573 Loss_D_real: -0.015205 Loss_D_fake 0.005199
[1560/5000][45/535][160986] Loss_D: -0.021647 Loss_G: -0.010274 Loss_D_real: -0.011583 Loss_D_fake 0.010064
[1560/5000][50/535][160987] Loss_D: -0.020854 Loss_G: -0.009207 Loss_D_real: -0.002142 Loss_D_fake 0.018712
[1560/5000][55/535][160988] Loss_D: -0.019923 Loss_G: 0.005224 Loss_D_real: -0.030418 Loss_D_fake -0.010494
[1560/5000][60/535][160989] Loss_D: -0.020043 Loss_G: -0.008110 Loss_D_real: -0.002209 Loss_D_fake 0.017834
[1560/5000][65/535][160990] Loss_D: -0.020075 Loss_G: -0.004836 Loss_D_real: -0.002868 Loss_D_fake 0.017207
[1560/5000][70/535][160991] Loss_D: -0.018934 Loss_G: -0.000050 Loss_D_real: -0.002619 Loss_D_fake 0.016316
[1560/5000][75/535][160992] Loss_D: -0.019572 Loss_G: 0.012464 Loss_D_real: -0.009823 Loss_D_fake 0.009750
[1560/5000][80/535][160993] Loss_D: -0.020268 Loss_G: 0.023843 Loss_D_real: -0.012048 Loss_D_fake 0.008220
[1560/5000][85/535][160994] Loss_D: -0.021357 Loss_G: -0.004369 Loss_D_real: -0.023980 Loss_D_fake -0.002623
[1560/5000][90/535][160995] Loss_D: -0.019629 Loss_G: 0.024661 Loss_D_real: -0.026917 Loss_D_fake -0.007287
[1560/5000][95/535][160996] Loss_D: -0.019312 Loss_G: -0.005833 Loss_D_real: -0.014039 Loss_D_fake 0.005273
[1560/5000][100/535][160997] Loss_D: -0.019202 Loss_G: 0.018206 Loss_D_real: -0.020166 Loss_D_fake -0.000963
[1560/5000][105/535][160998] Loss_D: -0.019173 Loss_G: 0.007153 Loss_D_real: -0.013067 Loss_D_fake 0.006107
[1560/5000][110/535][160999] Loss_D: -0.019419 Loss_G: -0.007826 Loss_D_real: -0.000970 Loss_D_fake 0.018449
[1560/5000][115/535][161000] Loss_D: -0.018376 Loss_G: 0.011924 Loss_D_real: -0.014400 Loss_D_fake 0.003976
[1560/5000][215/535][161001] Loss_D: -0.022254 Loss_G: -0.002948 Loss_D_real: -0.002490 Loss_D_fake 0.019764
[1560/5000][220/535][161002] Loss_D: -0.018946 Loss_G: 0.006054 Loss_D_real: -0.012492 Loss_D_fake 0.006453
[1560/5000][225/535][161003] Loss_D: -0.017648 Loss_G: 0.013483 Loss_D_real: -0.008490 Loss_D_fake 0.009158
[1560/5000][230/535][161004] Loss_D: -0.017812 Loss_G: -0.004022 Loss_D_real: 0.000820 Loss_D_fake 0.018633
[1560/5000][235/535][161005] Loss_D: -0.018121 Loss_G: 0.013676 Loss_D_real: -0.017990 Loss_D_fake 0.000131
[1560/5000][240/535][161006] Loss_D: -0.018398 Loss_G: 0.013106 Loss_D_real: -0.014384 Loss_D_fake 0.004014
[1560/5000][245/535][161007] Loss_D: -0.018035 Loss_G: 0.013528 Loss_D_real: -0.004385 Loss_D_fake 0.013650
[1560/5000][250/535][161008] Loss_D: -0.018126 Loss_G: 0.004049 Loss_D_real: -0.024037 Loss_D_fake -0.005911
[1560/5000][255/535][161009] Loss_D: -0.018669 Loss_G: -0.001513 Loss_D_real: -0.011560 Loss_D_fake 0.007109
[1560/5000][260/535][161010] Loss_D: -0.016985 Loss_G: -0.018618 Loss_D_real: 0.002831 Loss_D_fake 0.019816
[1560/5000][265/535][161011] Loss_D: -0.019427 Loss_G: 0.009535 Loss_D_real: -0.021174 Loss_D_fake -0.001748
[1560/5000][270/535][161012] Loss_D: -0.017409 Loss_G: 0.022773 Loss_D_real: -0.016158 Loss_D_fake 0.001251
[1560/5000][275/535][161013] Loss_D: -0.019791 Loss_G: -0.005866 Loss_D_real: -0.007218 Loss_D_fake 0.012573
[1560/5000][280/535][161014] Loss_D: -0.019918 Loss_G: 0.012743 Loss_D_real: -0.012552 Loss_D_fake 0.007366
[1560/5000][285/535][161015] Loss_D: -0.019248 Loss_G: 0.006595 Loss_D_real: -0.016292 Loss_D_fake 0.002957
[1560/5000][290/535][161016] Loss_D: -0.018904 Loss_G: 0.014054 Loss_D_real: -0.019519 Loss_D_fake -0.000615
[1560/5000][295/535][161017] Loss_D: -0.019673 Loss_G: -0.006012 Loss_D_real: -0.013282 Loss_D_fake 0.006391
[1560/5000][300/535][161018] Loss_D: -0.018471 Loss_G: -0.026289 Loss_D_real: -0.011153 Loss_D_fake 0.007318
[1560/5000][305/535][161019] Loss_D: -0.019053 Loss_G: 0.027373 Loss_D_real: -0.018225 Loss_D_fake 0.000827
[1560/5000][310/535][161020] Loss_D: -0.018140 Loss_G: 0.012230 Loss_D_real: -0.019636 Loss_D_fake -0.001497
[1560/5000][315/535][161021] Loss_D: -0.019015 Loss_G: -0.007688 Loss_D_real: -0.009746 Loss_D_fake 0.009269
[1560/5000][320/535][161022] Loss_D: -0.020588 Loss_G: 0.019556 Loss_D_real: -0.012598 Loss_D_fake 0.007990
[1560/5000][325/535][161023] Loss_D: -0.018480 Loss_G: 0.002615 Loss_D_real: -0.003632 Loss_D_fake 0.014849
[1560/5000][330/535][161024] Loss_D: -0.020610 Loss_G: -0.011721 Loss_D_real: -0.001193 Loss_D_fake 0.019417
[1560/5000][335/535][161025] Loss_D: -0.019094 Loss_G: 0.023140 Loss_D_real: -0.015747 Loss_D_fake 0.003347
[1560/5000][340/535][161026] Loss_D: -0.019020 Loss_G: 0.003147 Loss_D_real: -0.019539 Loss_D_fake -0.000519
[1560/5000][345/535][161027] Loss_D: -0.018773 Loss_G: 0.029051 Loss_D_real: -0.027244 Loss_D_fake -0.008471
[1560/5000][350/535][161028] Loss_D: -0.018437 Loss_G: 0.015768 Loss_D_real: -0.034261 Loss_D_fake -0.015824
[1560/5000][355/535][161029] Loss_D: -0.019096 Loss_G: -0.003988 Loss_D_real: -0.003190 Loss_D_fake 0.015907
[1560/5000][360/535][161030] Loss_D: -0.018730 Loss_G: 0.002741 Loss_D_real: -0.018587 Loss_D_fake 0.000143
[1560/5000][365/535][161031] Loss_D: -0.017253 Loss_G: 0.012391 Loss_D_real: -0.028898 Loss_D_fake -0.011645
[1560/5000][370/535][161032] Loss_D: -0.017857 Loss_G: 0.018287 Loss_D_real: -0.020505 Loss_D_fake -0.002648
[1560/5000][375/535][161033] Loss_D: -0.019077 Loss_G: 0.012522 Loss_D_real: -0.018544 Loss_D_fake 0.000533
[1560/5000][380/535][161034] Loss_D: -0.018774 Loss_G: 0.019054 Loss_D_real: -0.032547 Loss_D_fake -0.013774
[1560/5000][385/535][161035] Loss_D: -0.020675 Loss_G: 0.008139 Loss_D_real: -0.026268 Loss_D_fake -0.005593
[1560/5000][390/535][161036] Loss_D: -0.021658 Loss_G: 0.005760 Loss_D_real: -0.013846 Loss_D_fake 0.007812
[1560/5000][395/535][161037] Loss_D: -0.021379 Loss_G: 0.019529 Loss_D_real: -0.019567 Loss_D_fake 0.001813
[1560/5000][400/535][161038] Loss_D: -0.019018 Loss_G: -0.013735 Loss_D_real: -0.013466 Loss_D_fake 0.005552
[1560/5000][405/535][161039] Loss_D: -0.018311 Loss_G: -0.003368 Loss_D_real: 0.001875 Loss_D_fake 0.020185
[1560/5000][410/535][161040] Loss_D: -0.019519 Loss_G: -0.011704 Loss_D_real: -0.001513 Loss_D_fake 0.018006
[1560/5000][415/535][161041] Loss_D: -0.019666 Loss_G: 0.014224 Loss_D_real: -0.019655 Loss_D_fake 0.000011
[1560/5000][420/535][161042] Loss_D: -0.020865 Loss_G: 0.009188 Loss_D_real: -0.011889 Loss_D_fake 0.008976
[1560/5000][425/535][161043] Loss_D: -0.019381 Loss_G: 0.016976 Loss_D_real: -0.018674 Loss_D_fake 0.000707
[1560/5000][430/535][161044] Loss_D: -0.020628 Loss_G: 0.017488 Loss_D_real: -0.018269 Loss_D_fake 0.002360
[1560/5000][435/535][161045] Loss_D: -0.020982 Loss_G: 0.012250 Loss_D_real: -0.009168 Loss_D_fake 0.011815
[1560/5000][440/535][161046] Loss_D: -0.020752 Loss_G: 0.004828 Loss_D_real: -0.018445 Loss_D_fake 0.002307
[1560/5000][445/535][161047] Loss_D: -0.020036 Loss_G: -0.000943 Loss_D_real: -0.016321 Loss_D_fake 0.003715
[1560/5000][450/535][161048] Loss_D: -0.019657 Loss_G: -0.014936 Loss_D_real: 0.000883 Loss_D_fake 0.020539
[1560/5000][455/535][161049] Loss_D: -0.020002 Loss_G: 0.009184 Loss_D_real: -0.009840 Loss_D_fake 0.010162
[1560/5000][460/535][161050] Loss_D: -0.019847 Loss_G: 0.000073 Loss_D_real: -0.008465 Loss_D_fake 0.011382
[1560/5000][465/535][161051] Loss_D: -0.019446 Loss_G: 0.018486 Loss_D_real: -0.004706 Loss_D_fake 0.014741
[1560/5000][470/535][161052] Loss_D: -0.018732 Loss_G: 0.025916 Loss_D_real: -0.033272 Loss_D_fake -0.014540
[1560/5000][475/535][161053] Loss_D: -0.017224 Loss_G: -0.019675 Loss_D_real: 0.008233 Loss_D_fake 0.025456
[1560/5000][480/535][161054] Loss_D: -0.018015 Loss_G: -0.007729 Loss_D_real: -0.004647 Loss_D_fake 0.013369
[1560/5000][485/535][161055] Loss_D: -0.017692 Loss_G: 0.002466 Loss_D_real: -0.004443 Loss_D_fake 0.013249
[1560/5000][490/535][161056] Loss_D: -0.018733 Loss_G: 0.013125 Loss_D_real: -0.021151 Loss_D_fake -0.002417
[1560/5000][495/535][161057] Loss_D: -0.019178 Loss_G: 0.016304 Loss_D_real: -0.018145 Loss_D_fake 0.001033
[1560/5000][500/535][161058] Loss_D: -0.018880 Loss_G: -0.001542 Loss_D_real: 0.000722 Loss_D_fake 0.019602
[1560/5000][505/535][161059] Loss_D: -0.018520 Loss_G: 0.013231 Loss_D_real: -0.013504 Loss_D_fake 0.005016
[1560/5000][510/535][161060] Loss_D: -0.018677 Loss_G: -0.009396 Loss_D_real: -0.009139 Loss_D_fake 0.009538
[1560/5000][515/535][161061] Loss_D: -0.019333 Loss_G: 0.016849 Loss_D_real: -0.025652 Loss_D_fake -0.006319
[1560/5000][520/535][161062] Loss_D: -0.020169 Loss_G: 0.002149 Loss_D_real: -0.011793 Loss_D_fake 0.008377
[1560/5000][525/535][161063] Loss_D: -0.020327 Loss_G: 0.003445 Loss_D_real: -0.018580 Loss_D_fake 0.001747
[1560/5000][530/535][161064] Loss_D: -0.019141 Loss_G: -0.005079 Loss_D_real: -0.001592 Loss_D_fake 0.017549
[1560/5000][535/535][161065] Loss_D: -0.020949 Loss_G: 0.008339 Loss_D_real: -0.024281 Loss_D_fake -0.003332
[1561/5000][5/535][161066] Loss_D: -0.020694 Loss_G: 0.010490 Loss_D_real: -0.009228 Loss_D_fake 0.011466
[1561/5000][10/535][161067] Loss_D: -0.020282 Loss_G: 0.006798 Loss_D_real: -0.015187 Loss_D_fake 0.005095
[1561/5000][15/535][161068] Loss_D: -0.019483 Loss_G: 0.003668 Loss_D_real: -0.006063 Loss_D_fake 0.013420
[1561/5000][20/535][161069] Loss_D: -0.021103 Loss_G: 0.018305 Loss_D_real: -0.008758 Loss_D_fake 0.012345
[1561/5000][25/535][161070] Loss_D: -0.020305 Loss_G: 0.000021 Loss_D_real: -0.006875 Loss_D_fake 0.013430
[1561/5000][30/535][161071] Loss_D: -0.018752 Loss_G: 0.018059 Loss_D_real: -0.025212 Loss_D_fake -0.006460
[1561/5000][35/535][161072] Loss_D: -0.020342 Loss_G: 0.009517 Loss_D_real: -0.023814 Loss_D_fake -0.003472
[1561/5000][40/535][161073] Loss_D: -0.019958 Loss_G: 0.013691 Loss_D_real: -0.031335 Loss_D_fake -0.011377
[1561/5000][45/535][161074] Loss_D: -0.020021 Loss_G: 0.003251 Loss_D_real: -0.018392 Loss_D_fake 0.001628
[1561/5000][50/535][161075] Loss_D: -0.019175 Loss_G: 0.011084 Loss_D_real: -0.010897 Loss_D_fake 0.008278
[1561/5000][55/535][161076] Loss_D: -0.020482 Loss_G: 0.005863 Loss_D_real: -0.011581 Loss_D_fake 0.008901
[1561/5000][60/535][161077] Loss_D: -0.019383 Loss_G: -0.014472 Loss_D_real: -0.019485 Loss_D_fake -0.000102
[1561/5000][65/535][161078] Loss_D: -0.018943 Loss_G: 0.000451 Loss_D_real: -0.016610 Loss_D_fake 0.002333
[1561/5000][70/535][161079] Loss_D: -0.021227 Loss_G: -0.016327 Loss_D_real: -0.017595 Loss_D_fake 0.003633
[1561/5000][75/535][161080] Loss_D: -0.019530 Loss_G: 0.018485 Loss_D_real: -0.015759 Loss_D_fake 0.003770
[1561/5000][80/535][161081] Loss_D: -0.018915 Loss_G: -0.004435 Loss_D_real: -0.011554 Loss_D_fake 0.007361
[1561/5000][85/535][161082] Loss_D: -0.018333 Loss_G: 0.031823 Loss_D_real: -0.025725 Loss_D_fake -0.007392
[1561/5000][90/535][161083] Loss_D: -0.018480 Loss_G: 0.012122 Loss_D_real: -0.020746 Loss_D_fake -0.002266
[1561/5000][95/535][161084] Loss_D: -0.019460 Loss_G: 0.000362 Loss_D_real: -0.025400 Loss_D_fake -0.005940
[1561/5000][100/535][161085] Loss_D: -0.020257 Loss_G: 0.013608 Loss_D_real: -0.012877 Loss_D_fake 0.007381
[1561/5000][105/535][161086] Loss_D: -0.019530 Loss_G: -0.002224 Loss_D_real: -0.011908 Loss_D_fake 0.007621
[1561/5000][110/535][161087] Loss_D: -0.020165 Loss_G: -0.000395 Loss_D_real: -0.019935 Loss_D_fake 0.000230
[1561/5000][115/535][161088] Loss_D: -0.019636 Loss_G: 0.029227 Loss_D_real: -0.023235 Loss_D_fake -0.003599
[1561/5000][120/535][161089] Loss_D: -0.019124 Loss_G: -0.006186 Loss_D_real: -0.000008 Loss_D_fake 0.019116
[1561/5000][125/535][161090] Loss_D: -0.019113 Loss_G: 0.005288 Loss_D_real: -0.012981 Loss_D_fake 0.006132
[1561/5000][130/535][161091] Loss_D: -0.017916 Loss_G: 0.008363 Loss_D_real: -0.020944 Loss_D_fake -0.003028
[1561/5000][135/535][161092] Loss_D: -0.019321 Loss_G: 0.003319 Loss_D_real: -0.013783 Loss_D_fake 0.005539
[1561/5000][140/535][161093] Loss_D: -0.019310 Loss_G: 0.014397 Loss_D_real: -0.014298 Loss_D_fake 0.005012
[1561/5000][145/535][161094] Loss_D: -0.018440 Loss_G: 0.004813 Loss_D_real: -0.024219 Loss_D_fake -0.005779
[1561/5000][150/535][161095] Loss_D: -0.019279 Loss_G: 0.014601 Loss_D_real: -0.021556 Loss_D_fake -0.002276
[1561/5000][155/535][161096] Loss_D: -0.020028 Loss_G: -0.002056 Loss_D_real: -0.012722 Loss_D_fake 0.007306
[1561/5000][160/535][161097] Loss_D: -0.020225 Loss_G: -0.004469 Loss_D_real: -0.017144 Loss_D_fake 0.003081
[1561/5000][165/535][161098] Loss_D: -0.019256 Loss_G: -0.003377 Loss_D_real: -0.004517 Loss_D_fake 0.014740
[1561/5000][170/535][161099] Loss_D: -0.019195 Loss_G: 0.002724 Loss_D_real: -0.011949 Loss_D_fake 0.007246
[1561/5000][175/535][161100] Loss_D: -0.019301 Loss_G: 0.017253 Loss_D_real: -0.020946 Loss_D_fake -0.001645
[1561/5000][180/535][161101] Loss_D: -0.018708 Loss_G: 0.019334 Loss_D_real: -0.023820 Loss_D_fake -0.005112
[1561/5000][185/535][161102] Loss_D: -0.019295 Loss_G: 0.008500 Loss_D_real: -0.023202 Loss_D_fake -0.003907
[1561/5000][190/535][161103] Loss_D: -0.018571 Loss_G: 0.016552 Loss_D_real: -0.028824 Loss_D_fake -0.010254
[1561/5000][195/535][161104] Loss_D: -0.020549 Loss_G: -0.005006 Loss_D_real: -0.011799 Loss_D_fake 0.008750
[1561/5000][200/535][161105] Loss_D: -0.019424 Loss_G: 0.008301 Loss_D_real: -0.000348 Loss_D_fake 0.019076
[1561/5000][205/535][161106] Loss_D: -0.018677 Loss_G: -0.018495 Loss_D_real: 0.001053 Loss_D_fake 0.019730
[1561/5000][210/535][161107] Loss_D: -0.021089 Loss_G: 0.017632 Loss_D_real: -0.016962 Loss_D_fake 0.004126
[1561/5000][215/535][161108] Loss_D: -0.021518 Loss_G: -0.014097 Loss_D_real: -0.014323 Loss_D_fake 0.007196
[1561/5000][220/535][161109] Loss_D: -0.019000 Loss_G: -0.004856 Loss_D_real: -0.014838 Loss_D_fake 0.004162
[1561/5000][225/535][161110] Loss_D: -0.019151 Loss_G: 0.017541 Loss_D_real: -0.023957 Loss_D_fake -0.004806
[1561/5000][230/535][161111] Loss_D: -0.020172 Loss_G: 0.000475 Loss_D_real: -0.008583 Loss_D_fake 0.011589
[1561/5000][235/535][161112] Loss_D: -0.018315 Loss_G: -0.005278 Loss_D_real: -0.007871 Loss_D_fake 0.010444
[1561/5000][240/535][161113] Loss_D: -0.019589 Loss_G: 0.020041 Loss_D_real: -0.017321 Loss_D_fake 0.002268
[1561/5000][245/535][161114] Loss_D: -0.018441 Loss_G: -0.006220 Loss_D_real: -0.002439 Loss_D_fake 0.016001
[1561/5000][250/535][161115] Loss_D: -0.019525 Loss_G: 0.007035 Loss_D_real: -0.032805 Loss_D_fake -0.013281
[1561/5000][255/535][161116] Loss_D: -0.019687 Loss_G: -0.000650 Loss_D_real: -0.011636 Loss_D_fake 0.008051
[1561/5000][260/535][161117] Loss_D: -0.019490 Loss_G: 0.023359 Loss_D_real: -0.033870 Loss_D_fake -0.014381
[1561/5000][265/535][161118] Loss_D: -0.018251 Loss_G: -0.021416 Loss_D_real: -0.002326 Loss_D_fake 0.015925
[1561/5000][270/535][161119] Loss_D: -0.018356 Loss_G: -0.002643 Loss_D_real: -0.008519 Loss_D_fake 0.009838
[1561/5000][275/535][161120] Loss_D: -0.018004 Loss_G: -0.007800 Loss_D_real: -0.011280 Loss_D_fake 0.006725
[1561/5000][280/535][161121] Loss_D: -0.019707 Loss_G: 0.006854 Loss_D_real: -0.023706 Loss_D_fake -0.003999
[1561/5000][285/535][161122] Loss_D: -0.020598 Loss_G: 0.013645 Loss_D_real: -0.012830 Loss_D_fake 0.007768
[1561/5000][290/535][161123] Loss_D: -0.019272 Loss_G: 0.005091 Loss_D_real: -0.004847 Loss_D_fake 0.014424
[1561/5000][295/535][161124] Loss_D: -0.019656 Loss_G: 0.008343 Loss_D_real: -0.018678 Loss_D_fake 0.000978
[1561/5000][300/535][161125] Loss_D: -0.019344 Loss_G: 0.014437 Loss_D_real: -0.025166 Loss_D_fake -0.005822
[1561/5000][305/535][161126] Loss_D: -0.020762 Loss_G: 0.015512 Loss_D_real: -0.029187 Loss_D_fake -0.008425
[1561/5000][310/535][161127] Loss_D: -0.020739 Loss_G: 0.007514 Loss_D_real: -0.012544 Loss_D_fake 0.008195
[1561/5000][315/535][161128] Loss_D: -0.019800 Loss_G: 0.029462 Loss_D_real: -0.029267 Loss_D_fake -0.009467
[1561/5000][320/535][161129] Loss_D: -0.021007 Loss_G: 0.010073 Loss_D_real: -0.022008 Loss_D_fake -0.001002
[1561/5000][325/535][161130] Loss_D: -0.020318 Loss_G: 0.001906 Loss_D_real: -0.021965 Loss_D_fake -0.001648
[1561/5000][330/535][161131] Loss_D: -0.018036 Loss_G: -0.013285 Loss_D_real: 0.004113 Loss_D_fake 0.022148
[1561/5000][335/535][161132] Loss_D: -0.019436 Loss_G: 0.021948 Loss_D_real: -0.024727 Loss_D_fake -0.005291
[1561/5000][340/535][161133] Loss_D: -0.019125 Loss_G: 0.014742 Loss_D_real: -0.020923 Loss_D_fake -0.001798
[1561/5000][345/535][161134] Loss_D: -0.019703 Loss_G: 0.010736 Loss_D_real: -0.014698 Loss_D_fake 0.005005
[1561/5000][350/535][161135] Loss_D: -0.019701 Loss_G: 0.005273 Loss_D_real: -0.024937 Loss_D_fake -0.005236
[1561/5000][355/535][161136] Loss_D: -0.020845 Loss_G: 0.004221 Loss_D_real: -0.034612 Loss_D_fake -0.013767
[1561/5000][360/535][161137] Loss_D: -0.019634 Loss_G: 0.015228 Loss_D_real: -0.012315 Loss_D_fake 0.007320
[1561/5000][365/535][161138] Loss_D: -0.018732 Loss_G: -0.021734 Loss_D_real: -0.005089 Loss_D_fake 0.013643
[1561/5000][370/535][161139] Loss_D: -0.018531 Loss_G: 0.019873 Loss_D_real: -0.012569 Loss_D_fake 0.005962
[1561/5000][375/535][161140] Loss_D: -0.018998 Loss_G: 0.013894 Loss_D_real: -0.021638 Loss_D_fake -0.002640
[1561/5000][380/535][161141] Loss_D: -0.019647 Loss_G: 0.011538 Loss_D_real: -0.006151 Loss_D_fake 0.013496
[1561/5000][385/535][161142] Loss_D: -0.018799 Loss_G: -0.008124 Loss_D_real: -0.012123 Loss_D_fake 0.006676
[1561/5000][390/535][161143] Loss_D: -0.018203 Loss_G: 0.002273 Loss_D_real: -0.019692 Loss_D_fake -0.001489
[1561/5000][395/535][161144] Loss_D: -0.018709 Loss_G: 0.014360 Loss_D_real: -0.026342 Loss_D_fake -0.007633
[1561/5000][400/535][161145] Loss_D: -0.019543 Loss_G: 0.008200 Loss_D_real: -0.034069 Loss_D_fake -0.014526
[1561/5000][405/535][161146] Loss_D: -0.019963 Loss_G: 0.004950 Loss_D_real: -0.021197 Loss_D_fake -0.001234
[1561/5000][410/535][161147] Loss_D: -0.019986 Loss_G: -0.013865 Loss_D_real: -0.008727 Loss_D_fake 0.011259
[1561/5000][415/535][161148] Loss_D: -0.019076 Loss_G: -0.002154 Loss_D_real: 0.010950 Loss_D_fake 0.030026
[1561/5000][420/535][161149] Loss_D: -0.019218 Loss_G: 0.010365 Loss_D_real: -0.016070 Loss_D_fake 0.003148
[1561/5000][425/535][161150] Loss_D: -0.019613 Loss_G: -0.006244 Loss_D_real: -0.001452 Loss_D_fake 0.018161
[1561/5000][430/535][161151] Loss_D: -0.020544 Loss_G: -0.002776 Loss_D_real: -0.002426 Loss_D_fake 0.018118
[1561/5000][435/535][161152] Loss_D: -0.018864 Loss_G: 0.008462 Loss_D_real: -0.023503 Loss_D_fake -0.004639
[1561/5000][440/535][161153] Loss_D: -0.017115 Loss_G: 0.029898 Loss_D_real: -0.027099 Loss_D_fake -0.009984
[1561/5000][445/535][161154] Loss_D: -0.019988 Loss_G: 0.001021 Loss_D_real: -0.011858 Loss_D_fake 0.008129
[1561/5000][450/535][161155] Loss_D: -0.019907 Loss_G: -0.014310 Loss_D_real: -0.015077 Loss_D_fake 0.004830
[1561/5000][455/535][161156] Loss_D: -0.018697 Loss_G: -0.000028 Loss_D_real: -0.013383 Loss_D_fake 0.005314
[1561/5000][460/535][161157] Loss_D: -0.019792 Loss_G: -0.001642 Loss_D_real: -0.006917 Loss_D_fake 0.012875
[1561/5000][465/535][161158] Loss_D: -0.019194 Loss_G: 0.022346 Loss_D_real: -0.033274 Loss_D_fake -0.014080
[1561/5000][470/535][161159] Loss_D: -0.018842 Loss_G: 0.015504 Loss_D_real: -0.014393 Loss_D_fake 0.004448
[1561/5000][475/535][161160] Loss_D: -0.019220 Loss_G: -0.005511 Loss_D_real: -0.008374 Loss_D_fake 0.010846
[1561/5000][480/535][161161] Loss_D: -0.019409 Loss_G: 0.005162 Loss_D_real: -0.022008 Loss_D_fake -0.002598
[1561/5000][485/535][161162] Loss_D: -0.019640 Loss_G: 0.020138 Loss_D_real: -0.016363 Loss_D_fake 0.003277
[1561/5000][490/535][161163] Loss_D: -0.018088 Loss_G: 0.005332 Loss_D_real: -0.015848 Loss_D_fake 0.002241
[1561/5000][495/535][161164] Loss_D: -0.019378 Loss_G: 0.012759 Loss_D_real: -0.018786 Loss_D_fake 0.000592
[1561/5000][500/535][161165] Loss_D: -0.019000 Loss_G: 0.010052 Loss_D_real: -0.015603 Loss_D_fake 0.003396
[1561/5000][505/535][161166] Loss_D: -0.019706 Loss_G: 0.003553 Loss_D_real: -0.022455 Loss_D_fake -0.002749
[1561/5000][510/535][161167] Loss_D: -0.019596 Loss_G: -0.010643 Loss_D_real: -0.004677 Loss_D_fake 0.014918
[1561/5000][515/535][161168] Loss_D: -0.019538 Loss_G: 0.020550 Loss_D_real: -0.022274 Loss_D_fake -0.002736
[1561/5000][520/535][161169] Loss_D: -0.018730 Loss_G: 0.006329 Loss_D_real: -0.004948 Loss_D_fake 0.013782
[1561/5000][525/535][161170] Loss_D: -0.019241 Loss_G: -0.014423 Loss_D_real: -0.007231 Loss_D_fake 0.012010
[1561/5000][530/535][161171] Loss_D: -0.020921 Loss_G: 0.001686 Loss_D_real: -0.012795 Loss_D_fake 0.008126
[1561/5000][535/535][161172] Loss_D: -0.020568 Loss_G: -0.037564 Loss_D_real: -0.023385 Loss_D_fake -0.002817
[1562/5000][5/535][161173] Loss_D: -0.020995 Loss_G: 0.010095 Loss_D_real: -0.004087 Loss_D_fake 0.016908
[1562/5000][10/535][161174] Loss_D: -0.019207 Loss_G: 0.013756 Loss_D_real: -0.015330 Loss_D_fake 0.003878
[1562/5000][15/535][161175] Loss_D: -0.019811 Loss_G: 0.014874 Loss_D_real: -0.027778 Loss_D_fake -0.007967
[1562/5000][20/535][161176] Loss_D: -0.019475 Loss_G: 0.012471 Loss_D_real: -0.027932 Loss_D_fake -0.008457
[1562/5000][25/535][161177] Loss_D: -0.019546 Loss_G: 0.002441 Loss_D_real: -0.024068 Loss_D_fake -0.004522
[1562/5000][30/535][161178] Loss_D: -0.018502 Loss_G: 0.028743 Loss_D_real: -0.022516 Loss_D_fake -0.004014
[1562/5000][35/535][161179] Loss_D: -0.018108 Loss_G: 0.021391 Loss_D_real: -0.022790 Loss_D_fake -0.004682
[1562/5000][40/535][161180] Loss_D: -0.019817 Loss_G: 0.000584 Loss_D_real: -0.001254 Loss_D_fake 0.018564
[1562/5000][45/535][161181] Loss_D: -0.019385 Loss_G: 0.016476 Loss_D_real: -0.025487 Loss_D_fake -0.006102
[1562/5000][50/535][161182] Loss_D: -0.018965 Loss_G: -0.003259 Loss_D_real: -0.014638 Loss_D_fake 0.004327
[1562/5000][55/535][161183] Loss_D: -0.020204 Loss_G: -0.008197 Loss_D_real: -0.007869 Loss_D_fake 0.012335
[1562/5000][60/535][161184] Loss_D: -0.019835 Loss_G: -0.003410 Loss_D_real: -0.014245 Loss_D_fake 0.005590
[1562/5000][65/535][161185] Loss_D: -0.020107 Loss_G: 0.020672 Loss_D_real: -0.027951 Loss_D_fake -0.007844
[1562/5000][70/535][161186] Loss_D: -0.021575 Loss_G: 0.009494 Loss_D_real: -0.019457 Loss_D_fake 0.002119
[1562/5000][75/535][161187] Loss_D: -0.019182 Loss_G: 0.012413 Loss_D_real: -0.030316 Loss_D_fake -0.011134
[1562/5000][80/535][161188] Loss_D: -0.019381 Loss_G: 0.017037 Loss_D_real: -0.011474 Loss_D_fake 0.007907
[1562/5000][85/535][161189] Loss_D: -0.018157 Loss_G: -0.000033 Loss_D_real: 0.007476 Loss_D_fake 0.025633
[1562/5000][90/535][161190] Loss_D: -0.019136 Loss_G: 0.021276 Loss_D_real: -0.024606 Loss_D_fake -0.005470
[1562/5000][95/535][161191] Loss_D: -0.018374 Loss_G: 0.000016 Loss_D_real: -0.010489 Loss_D_fake 0.007885
[1562/5000][100/535][161192] Loss_D: -0.019734 Loss_G: 0.009530 Loss_D_real: -0.026872 Loss_D_fake -0.007139
[1562/5000][105/535][161193] Loss_D: -0.020132 Loss_G: 0.009577 Loss_D_real: -0.022668 Loss_D_fake -0.002536
[1562/5000][110/535][161194] Loss_D: -0.019717 Loss_G: 0.019011 Loss_D_real: -0.023675 Loss_D_fake -0.003958
[1562/5000][115/535][161195] Loss_D: -0.019515 Loss_G: -0.005932 Loss_D_real: -0.008217 Loss_D_fake 0.011298
[1562/5000][120/535][161196] Loss_D: -0.019869 Loss_G: 0.021063 Loss_D_real: -0.013851 Loss_D_fake 0.006018
[1562/5000][125/535][161197] Loss_D: -0.017720 Loss_G: 0.001428 Loss_D_real: -0.019207 Loss_D_fake -0.001487
[1562/5000][130/535][161198] Loss_D: -0.019811 Loss_G: 0.021881 Loss_D_real: -0.022916 Loss_D_fake -0.003105
[1562/5000][135/535][161199] Loss_D: -0.019489 Loss_G: 0.009638 Loss_D_real: -0.013990 Loss_D_fake 0.005499
[1562/5000][140/535][161200] Loss_D: -0.018844 Loss_G: 0.028855 Loss_D_real: -0.032617 Loss_D_fake -0.013773
[1562/5000][145/535][161201] Loss_D: -0.018270 Loss_G: 0.000927 Loss_D_real: -0.005897 Loss_D_fake 0.012373
[1562/5000][150/535][161202] Loss_D: -0.019027 Loss_G: 0.024429 Loss_D_real: -0.027296 Loss_D_fake -0.008269
[1562/5000][155/535][161203] Loss_D: -0.019268 Loss_G: 0.003525 Loss_D_real: -0.015235 Loss_D_fake 0.004032
[1562/5000][160/535][161204] Loss_D: -0.019913 Loss_G: 0.009290 Loss_D_real: -0.020508 Loss_D_fake -0.000595
[1562/5000][165/535][161205] Loss_D: -0.020543 Loss_G: 0.020719 Loss_D_real: -0.015751 Loss_D_fake 0.004792
[1562/5000][170/535][161206] Loss_D: -0.019394 Loss_G: 0.004063 Loss_D_real: -0.016760 Loss_D_fake 0.002635
[1562/5000][175/535][161207] Loss_D: -0.019985 Loss_G: -0.015543 Loss_D_real: 0.004711 Loss_D_fake 0.024697
[1562/5000][180/535][161208] Loss_D: -0.019611 Loss_G: 0.005790 Loss_D_real: -0.022405 Loss_D_fake -0.002794
[1562/5000][185/535][161209] Loss_D: -0.020831 Loss_G: 0.026370 Loss_D_real: -0.020333 Loss_D_fake 0.000498
[1562/5000][190/535][161210] Loss_D: -0.019668 Loss_G: -0.017137 Loss_D_real: -0.000586 Loss_D_fake 0.019082
[1562/5000][195/535][161211] Loss_D: -0.018837 Loss_G: 0.012027 Loss_D_real: -0.024206 Loss_D_fake -0.005369
[1562/5000][200/535][161212] Loss_D: -0.018097 Loss_G: 0.006067 Loss_D_real: -0.019884 Loss_D_fake -0.001787
[1562/5000][205/535][161213] Loss_D: -0.019560 Loss_G: 0.000889 Loss_D_real: -0.010386 Loss_D_fake 0.009174
[1562/5000][210/535][161214] Loss_D: -0.018712 Loss_G: 0.023223 Loss_D_real: -0.023641 Loss_D_fake -0.004928
[1562/5000][215/535][161215] Loss_D: -0.020472 Loss_G: -0.008818 Loss_D_real: -0.012513 Loss_D_fake 0.007959
[1562/5000][220/535][161216] Loss_D: -0.018347 Loss_G: 0.022406 Loss_D_real: -0.027053 Loss_D_fake -0.008706
[1562/5000][225/535][161217] Loss_D: -0.020365 Loss_G: 0.023382 Loss_D_real: -0.025320 Loss_D_fake -0.004955
[1562/5000][230/535][161218] Loss_D: -0.019291 Loss_G: 0.014123 Loss_D_real: -0.016012 Loss_D_fake 0.003278
[1562/5000][235/535][161219] Loss_D: -0.020364 Loss_G: -0.002799 Loss_D_real: -0.010841 Loss_D_fake 0.009522
[1562/5000][240/535][161220] Loss_D: -0.020312 Loss_G: -0.005092 Loss_D_real: -0.015956 Loss_D_fake 0.004356
[1562/5000][245/535][161221] Loss_D: -0.019046 Loss_G: 0.026491 Loss_D_real: -0.025252 Loss_D_fake -0.006206
[1562/5000][250/535][161222] Loss_D: -0.020075 Loss_G: -0.013635 Loss_D_real: -0.010601 Loss_D_fake 0.009474
[1562/5000][255/535][161223] Loss_D: -0.020064 Loss_G: 0.003612 Loss_D_real: -0.006687 Loss_D_fake 0.013377
[1562/5000][260/535][161224] Loss_D: -0.019885 Loss_G: -0.000676 Loss_D_real: -0.013764 Loss_D_fake 0.006121
[1562/5000][265/535][161225] Loss_D: -0.019081 Loss_G: 0.010794 Loss_D_real: -0.016688 Loss_D_fake 0.002393
[1562/5000][270/535][161226] Loss_D: -0.018100 Loss_G: 0.005514 Loss_D_real: -0.023377 Loss_D_fake -0.005276
[1562/5000][275/535][161227] Loss_D: -0.020321 Loss_G: 0.008616 Loss_D_real: -0.019771 Loss_D_fake 0.000549
[1562/5000][280/535][161228] Loss_D: -0.018359 Loss_G: -0.005810 Loss_D_real: -0.008060 Loss_D_fake 0.010299
[1562/5000][285/535][161229] Loss_D: -0.018127 Loss_G: 0.028230 Loss_D_real: -0.024594 Loss_D_fake -0.006466
[1562/5000][290/535][161230] Loss_D: -0.019092 Loss_G: 0.001649 Loss_D_real: -0.016725 Loss_D_fake 0.002368
[1562/5000][295/535][161231] Loss_D: -0.019366 Loss_G: 0.005139 Loss_D_real: -0.026844 Loss_D_fake -0.007477
[1562/5000][300/535][161232] Loss_D: -0.020807 Loss_G: 0.017388 Loss_D_real: -0.039662 Loss_D_fake -0.018855
[1562/5000][305/535][161233] Loss_D: -0.019374 Loss_G: 0.030785 Loss_D_real: -0.028241 Loss_D_fake -0.008867
[1562/5000][310/535][161234] Loss_D: -0.019311 Loss_G: -0.001736 Loss_D_real: -0.017947 Loss_D_fake 0.001364
[1562/5000][315/535][161235] Loss_D: -0.019175 Loss_G: 0.013270 Loss_D_real: -0.016266 Loss_D_fake 0.002909
[1562/5000][320/535][161236] Loss_D: -0.019446 Loss_G: 0.002256 Loss_D_real: -0.013094 Loss_D_fake 0.006352
[1562/5000][325/535][161237] Loss_D: -0.020058 Loss_G: 0.007119 Loss_D_real: -0.017269 Loss_D_fake 0.002789
[1562/5000][330/535][161238] Loss_D: -0.017951 Loss_G: -0.016009 Loss_D_real: 0.002776 Loss_D_fake 0.020727
[1562/5000][335/535][161239] Loss_D: -0.018723 Loss_G: -0.011254 Loss_D_real: -0.021042 Loss_D_fake -0.002319
[1562/5000][340/535][161240] Loss_D: -0.019134 Loss_G: 0.007721 Loss_D_real: -0.004148 Loss_D_fake 0.014985
[1562/5000][345/535][161241] Loss_D: -0.017171 Loss_G: 0.015660 Loss_D_real: -0.025162 Loss_D_fake -0.007991
[1562/5000][350/535][161242] Loss_D: -0.018169 Loss_G: 0.023064 Loss_D_real: -0.021858 Loss_D_fake -0.003688
[1562/5000][355/535][161243] Loss_D: -0.018492 Loss_G: 0.015156 Loss_D_real: -0.021465 Loss_D_fake -0.002973
[1562/5000][360/535][161244] Loss_D: -0.019023 Loss_G: 0.020645 Loss_D_real: -0.024537 Loss_D_fake -0.005513
[1562/5000][365/535][161245] Loss_D: -0.019711 Loss_G: -0.001659 Loss_D_real: -0.023177 Loss_D_fake -0.003465
[1562/5000][370/535][161246] Loss_D: -0.018873 Loss_G: 0.023091 Loss_D_real: -0.031036 Loss_D_fake -0.012163
[1562/5000][375/535][161247] Loss_D: -0.020176 Loss_G: 0.003734 Loss_D_real: -0.003439 Loss_D_fake 0.016737
[1562/5000][380/535][161248] Loss_D: -0.018096 Loss_G: 0.005199 Loss_D_real: -0.022972 Loss_D_fake -0.004875
[1562/5000][385/535][161249] Loss_D: -0.018721 Loss_G: 0.010060 Loss_D_real: -0.026786 Loss_D_fake -0.008065
[1562/5000][390/535][161250] Loss_D: -0.019230 Loss_G: 0.029150 Loss_D_real: -0.030637 Loss_D_fake -0.011407
[1562/5000][395/535][161251] Loss_D: -0.019534 Loss_G: -0.008147 Loss_D_real: 0.000934 Loss_D_fake 0.020468
[1562/5000][400/535][161252] Loss_D: -0.019838 Loss_G: -0.012412 Loss_D_real: -0.015742 Loss_D_fake 0.004096
[1562/5000][405/535][161253] Loss_D: -0.018249 Loss_G: -0.002009 Loss_D_real: -0.016093 Loss_D_fake 0.002156
[1562/5000][410/535][161254] Loss_D: -0.018975 Loss_G: 0.001932 Loss_D_real: 0.004806 Loss_D_fake 0.023781
[1562/5000][415/535][161255] Loss_D: -0.018902 Loss_G: 0.008386 Loss_D_real: -0.030472 Loss_D_fake -0.011570
[1562/5000][420/535][161256] Loss_D: -0.019525 Loss_G: 0.018706 Loss_D_real: -0.027148 Loss_D_fake -0.007623
[1562/5000][425/535][161257] Loss_D: -0.019471 Loss_G: 0.006368 Loss_D_real: -0.004077 Loss_D_fake 0.015394
[1562/5000][430/535][161258] Loss_D: -0.019337 Loss_G: 0.002517 Loss_D_real: -0.006343 Loss_D_fake 0.012994
[1562/5000][435/535][161259] Loss_D: -0.019762 Loss_G: 0.011823 Loss_D_real: -0.016087 Loss_D_fake 0.003674
[1562/5000][440/535][161260] Loss_D: -0.019970 Loss_G: -0.007210 Loss_D_real: -0.006169 Loss_D_fake 0.013800
[1562/5000][445/535][161261] Loss_D: -0.019639 Loss_G: 0.013712 Loss_D_real: -0.022024 Loss_D_fake -0.002385
[1562/5000][450/535][161262] Loss_D: -0.020887 Loss_G: 0.004184 Loss_D_real: -0.004608 Loss_D_fake 0.016280
[1562/5000][455/535][161263] Loss_D: -0.018571 Loss_G: 0.012596 Loss_D_real: -0.030330 Loss_D_fake -0.011760
[1562/5000][460/535][161264] Loss_D: -0.020269 Loss_G: -0.002431 Loss_D_real: 0.001210 Loss_D_fake 0.021479
[1562/5000][465/535][161265] Loss_D: -0.020337 Loss_G: 0.008634 Loss_D_real: -0.020241 Loss_D_fake 0.000097
[1562/5000][470/535][161266] Loss_D: -0.019830 Loss_G: -0.011463 Loss_D_real: -0.002036 Loss_D_fake 0.017795
[1562/5000][475/535][161267] Loss_D: -0.020964 Loss_G: 0.005182 Loss_D_real: -0.017629 Loss_D_fake 0.003335
[1562/5000][480/535][161268] Loss_D: -0.020182 Loss_G: -0.004573 Loss_D_real: -0.019572 Loss_D_fake 0.000610
[1562/5000][485/535][161269] Loss_D: -0.020110 Loss_G: 0.018785 Loss_D_real: -0.026461 Loss_D_fake -0.006351
[1562/5000][490/535][161270] Loss_D: -0.020491 Loss_G: -0.000531 Loss_D_real: -0.017206 Loss_D_fake 0.003285
[1562/5000][495/535][161271] Loss_D: -0.019517 Loss_G: 0.016890 Loss_D_real: -0.026374 Loss_D_fake -0.006857
[1562/5000][500/535][161272] Loss_D: -0.019806 Loss_G: 0.014520 Loss_D_real: -0.021349 Loss_D_fake -0.001543
[1562/5000][505/535][161273] Loss_D: -0.020426 Loss_G: -0.009438 Loss_D_real: -0.010798 Loss_D_fake 0.009628
[1562/5000][510/535][161274] Loss_D: -0.019067 Loss_G: 0.027998 Loss_D_real: -0.029659 Loss_D_fake -0.010592
[1562/5000][515/535][161275] Loss_D: -0.019168 Loss_G: 0.007990 Loss_D_real: -0.026768 Loss_D_fake -0.007599
[1562/5000][520/535][161276] Loss_D: -0.019838 Loss_G: 0.004522 Loss_D_real: -0.012152 Loss_D_fake 0.007686
[1562/5000][525/535][161277] Loss_D: -0.020254 Loss_G: 0.006833 Loss_D_real: -0.023581 Loss_D_fake -0.003326
[1562/5000][530/535][161278] Loss_D: -0.019690 Loss_G: 0.011046 Loss_D_real: -0.034747 Loss_D_fake -0.015056
[1562/5000][535/535][161279] Loss_D: -0.019105 Loss_G: 0.030732 Loss_D_real: -0.036471 Loss_D_fake -0.017365
[1563/5000][5/535][161280] Loss_D: -0.019852 Loss_G: 0.009313 Loss_D_real: -0.014580 Loss_D_fake 0.005272
[1563/5000][10/535][161281] Loss_D: -0.020362 Loss_G: 0.008059 Loss_D_real: -0.003787 Loss_D_fake 0.016575
[1563/5000][15/535][161282] Loss_D: -0.020357 Loss_G: 0.006618 Loss_D_real: -0.013924 Loss_D_fake 0.006433
[1563/5000][20/535][161283] Loss_D: -0.020170 Loss_G: -0.000844 Loss_D_real: -0.018220 Loss_D_fake 0.001949
[1563/5000][25/535][161284] Loss_D: -0.018029 Loss_G: 0.005604 Loss_D_real: -0.024336 Loss_D_fake -0.006307
[1563/5000][30/535][161285] Loss_D: -0.018017 Loss_G: 0.024234 Loss_D_real: -0.032162 Loss_D_fake -0.014145
[1563/5000][35/535][161286] Loss_D: -0.019332 Loss_G: 0.011678 Loss_D_real: -0.011853 Loss_D_fake 0.007479
[1563/5000][40/535][161287] Loss_D: -0.017864 Loss_G: -0.003682 Loss_D_real: -0.006366 Loss_D_fake 0.011498
[1563/5000][45/535][161288] Loss_D: -0.017639 Loss_G: -0.015903 Loss_D_real: -0.005390 Loss_D_fake 0.012249
[1563/5000][50/535][161289] Loss_D: -0.018899 Loss_G: 0.004034 Loss_D_real: -0.023333 Loss_D_fake -0.004434
[1563/5000][55/535][161290] Loss_D: -0.020044 Loss_G: 0.031996 Loss_D_real: -0.022571 Loss_D_fake -0.002527
[1563/5000][60/535][161291] Loss_D: -0.019021 Loss_G: -0.006385 Loss_D_real: -0.009811 Loss_D_fake 0.009210
[1563/5000][65/535][161292] Loss_D: -0.018945 Loss_G: 0.023431 Loss_D_real: -0.021609 Loss_D_fake -0.002664
[1563/5000][70/535][161293] Loss_D: -0.017856 Loss_G: 0.018135 Loss_D_real: -0.035490 Loss_D_fake -0.017634
[1563/5000][75/535][161294] Loss_D: -0.020182 Loss_G: 0.000351 Loss_D_real: -0.002670 Loss_D_fake 0.017511
[1563/5000][80/535][161295] Loss_D: -0.018477 Loss_G: -0.002918 Loss_D_real: -0.006815 Loss_D_fake 0.011662
[1563/5000][85/535][161296] Loss_D: -0.018810 Loss_G: 0.018732 Loss_D_real: -0.023943 Loss_D_fake -0.005133
[1563/5000][90/535][161297] Loss_D: -0.019632 Loss_G: 0.001603 Loss_D_real: -0.021473 Loss_D_fake -0.001841
[1563/5000][95/535][161298] Loss_D: -0.018490 Loss_G: 0.001898 Loss_D_real: -0.006857 Loss_D_fake 0.011633
[1563/5000][100/535][161299] Loss_D: -0.019259 Loss_G: -0.009733 Loss_D_real: -0.011055 Loss_D_fake 0.008204
[1563/5000][105/535][161300] Loss_D: -0.017703 Loss_G: 0.014707 Loss_D_real: -0.020830 Loss_D_fake -0.003127
[1563/5000][110/535][161301] Loss_D: -0.020135 Loss_G: 0.007163 Loss_D_real: -0.002777 Loss_D_fake 0.017357
[1563/5000][115/535][161302] Loss_D: -0.020143 Loss_G: -0.003554 Loss_D_real: -0.010325 Loss_D_fake 0.009818
[1563/5000][120/535][161303] Loss_D: -0.016699 Loss_G: 0.031935 Loss_D_real: -0.029718 Loss_D_fake -0.013019
[1563/5000][125/535][161304] Loss_D: -0.019281 Loss_G: 0.016709 Loss_D_real: -0.027146 Loss_D_fake -0.007864
[1563/5000][130/535][161305] Loss_D: -0.018793 Loss_G: 0.000408 Loss_D_real: -0.017454 Loss_D_fake 0.001339
[1563/5000][135/535][161306] Loss_D: -0.019434 Loss_G: -0.001079 Loss_D_real: -0.007467 Loss_D_fake 0.011967
[1563/5000][140/535][161307] Loss_D: -0.019959 Loss_G: -0.000482 Loss_D_real: -0.006289 Loss_D_fake 0.013670
[1563/5000][145/535][161308] Loss_D: -0.019716 Loss_G: -0.008131 Loss_D_real: -0.003958 Loss_D_fake 0.015758
[1563/5000][150/535][161309] Loss_D: -0.018689 Loss_G: -0.000792 Loss_D_real: -0.016530 Loss_D_fake 0.002159
[1563/5000][155/535][161310] Loss_D: -0.020189 Loss_G: 0.014926 Loss_D_real: -0.020504 Loss_D_fake -0.000315
[1563/5000][160/535][161311] Loss_D: -0.020503 Loss_G: 0.000262 Loss_D_real: -0.007048 Loss_D_fake 0.013455
[1563/5000][165/535][161312] Loss_D: -0.019310 Loss_G: -0.004299 Loss_D_real: -0.018369 Loss_D_fake 0.000941
[1563/5000][170/535][161313] Loss_D: -0.019880 Loss_G: 0.029870 Loss_D_real: -0.016632 Loss_D_fake 0.003248
[1563/5000][175/535][161314] Loss_D: -0.019552 Loss_G: 0.006697 Loss_D_real: -0.016936 Loss_D_fake 0.002616
[1563/5000][180/535][161315] Loss_D: -0.020129 Loss_G: 0.011606 Loss_D_real: -0.017107 Loss_D_fake 0.003022
[1563/5000][185/535][161316] Loss_D: -0.020265 Loss_G: 0.022680 Loss_D_real: -0.026802 Loss_D_fake -0.006537
[1563/5000][190/535][161317] Loss_D: -0.020114 Loss_G: -0.011056 Loss_D_real: 0.001462 Loss_D_fake 0.021576
[1563/5000][195/535][161318] Loss_D: -0.019298 Loss_G: 0.015258 Loss_D_real: -0.017576 Loss_D_fake 0.001722
[1563/5000][200/535][161319] Loss_D: -0.019332 Loss_G: 0.009816 Loss_D_real: -0.027269 Loss_D_fake -0.007936
[1563/5000][205/535][161320] Loss_D: -0.019612 Loss_G: 0.012358 Loss_D_real: -0.029083 Loss_D_fake -0.009471
[1563/5000][210/535][161321] Loss_D: -0.019421 Loss_G: -0.011753 Loss_D_real: -0.000894 Loss_D_fake 0.018527
[1563/5000][215/535][161322] Loss_D: -0.017410 Loss_G: -0.009110 Loss_D_real: -0.003104 Loss_D_fake 0.014307
[1563/5000][220/535][161323] Loss_D: -0.018672 Loss_G: 0.013670 Loss_D_real: -0.012750 Loss_D_fake 0.005922
[1563/5000][225/535][161324] Loss_D: -0.018907 Loss_G: 0.000963 Loss_D_real: -0.007929 Loss_D_fake 0.010977
[1563/5000][230/535][161325] Loss_D: -0.019173 Loss_G: -0.005704 Loss_D_real: -0.001619 Loss_D_fake 0.017554
[1563/5000][235/535][161326] Loss_D: -0.019062 Loss_G: 0.004073 Loss_D_real: -0.001679 Loss_D_fake 0.017384
[1563/5000][240/535][161327] Loss_D: -0.018578 Loss_G: 0.010279 Loss_D_real: -0.018137 Loss_D_fake 0.000440
[1563/5000][245/535][161328] Loss_D: -0.018514 Loss_G: -0.008659 Loss_D_real: -0.001149 Loss_D_fake 0.017365
[1563/5000][250/535][161329] Loss_D: -0.018497 Loss_G: 0.031164 Loss_D_real: -0.032765 Loss_D_fake -0.014269
[1563/5000][255/535][161330] Loss_D: -0.019048 Loss_G: 0.009234 Loss_D_real: -0.011676 Loss_D_fake 0.007372
[1563/5000][260/535][161331] Loss_D: -0.017073 Loss_G: 0.016309 Loss_D_real: -0.024145 Loss_D_fake -0.007072
[1563/5000][265/535][161332] Loss_D: -0.018641 Loss_G: 0.005831 Loss_D_real: -0.010263 Loss_D_fake 0.008378
[1563/5000][270/535][161333] Loss_D: -0.020691 Loss_G: 0.015750 Loss_D_real: -0.013209 Loss_D_fake 0.007481
[1563/5000][275/535][161334] Loss_D: -0.018381 Loss_G: -0.019246 Loss_D_real: -0.000161 Loss_D_fake 0.018220
[1563/5000][280/535][161335] Loss_D: -0.019055 Loss_G: 0.001752 Loss_D_real: -0.000053 Loss_D_fake 0.019002
[1563/5000][285/535][161336] Loss_D: -0.018957 Loss_G: -0.008491 Loss_D_real: -0.029484 Loss_D_fake -0.010527
[1563/5000][290/535][161337] Loss_D: -0.019458 Loss_G: -0.011498 Loss_D_real: -0.010116 Loss_D_fake 0.009342
[1563/5000][295/535][161338] Loss_D: -0.018552 Loss_G: 0.022822 Loss_D_real: -0.028023 Loss_D_fake -0.009471
[1563/5000][300/535][161339] Loss_D: -0.018846 Loss_G: 0.012040 Loss_D_real: -0.017908 Loss_D_fake 0.000937
[1563/5000][305/535][161340] Loss_D: -0.018269 Loss_G: 0.009947 Loss_D_real: -0.013437 Loss_D_fake 0.004833
[1563/5000][310/535][161341] Loss_D: -0.018780 Loss_G: 0.025677 Loss_D_real: -0.019203 Loss_D_fake -0.000423
[1563/5000][315/535][161342] Loss_D: -0.020193 Loss_G: -0.008289 Loss_D_real: -0.018189 Loss_D_fake 0.002004
[1563/5000][320/535][161343] Loss_D: -0.020001 Loss_G: -0.009919 Loss_D_real: -0.004689 Loss_D_fake 0.015312
[1563/5000][325/535][161344] Loss_D: -0.019808 Loss_G: 0.004736 Loss_D_real: -0.024494 Loss_D_fake -0.004686
[1563/5000][330/535][161345] Loss_D: -0.018875 Loss_G: 0.015443 Loss_D_real: -0.027624 Loss_D_fake -0.008750
[1563/5000][335/535][161346] Loss_D: -0.019859 Loss_G: 0.001131 Loss_D_real: -0.013076 Loss_D_fake 0.006783
[1563/5000][340/535][161347] Loss_D: -0.019765 Loss_G: -0.002863 Loss_D_real: -0.019637 Loss_D_fake 0.000128
[1563/5000][345/535][161348] Loss_D: -0.019984 Loss_G: -0.011928 Loss_D_real: -0.004483 Loss_D_fake 0.015501
[1563/5000][350/535][161349] Loss_D: -0.021272 Loss_G: 0.030505 Loss_D_real: -0.020602 Loss_D_fake 0.000670
[1563/5000][355/535][161350] Loss_D: -0.018500 Loss_G: 0.028105 Loss_D_real: -0.026498 Loss_D_fake -0.007998
[1563/5000][360/535][161351] Loss_D: -0.020670 Loss_G: 0.015234 Loss_D_real: -0.025039 Loss_D_fake -0.004370
[1563/5000][365/535][161352] Loss_D: -0.019166 Loss_G: -0.013284 Loss_D_real: 0.001262 Loss_D_fake 0.020428
[1563/5000][370/535][161353] Loss_D: -0.019315 Loss_G: 0.022571 Loss_D_real: -0.017671 Loss_D_fake 0.001644
[1563/5000][375/535][161354] Loss_D: -0.018786 Loss_G: -0.006928 Loss_D_real: -0.016151 Loss_D_fake 0.002635
[1563/5000][380/535][161355] Loss_D: -0.019701 Loss_G: -0.007774 Loss_D_real: -0.002863 Loss_D_fake 0.016838
[1563/5000][385/535][161356] Loss_D: -0.019129 Loss_G: -0.001406 Loss_D_real: -0.008088 Loss_D_fake 0.011041
[1563/5000][390/535][161357] Loss_D: -0.019244 Loss_G: 0.007488 Loss_D_real: -0.007492 Loss_D_fake 0.011753
[1563/5000][395/535][161358] Loss_D: -0.019657 Loss_G: -0.004622 Loss_D_real: -0.011376 Loss_D_fake 0.008280
[1563/5000][400/535][161359] Loss_D: -0.017895 Loss_G: -0.001735 Loss_D_real: -0.002906 Loss_D_fake 0.014989
[1563/5000][405/535][161360] Loss_D: -0.019636 Loss_G: 0.024833 Loss_D_real: -0.022389 Loss_D_fake -0.002753
[1563/5000][410/535][161361] Loss_D: -0.019502 Loss_G: 0.010318 Loss_D_real: -0.024457 Loss_D_fake -0.004955
[1563/5000][415/535][161362] Loss_D: -0.018959 Loss_G: 0.017576 Loss_D_real: -0.016196 Loss_D_fake 0.002763
[1563/5000][420/535][161363] Loss_D: -0.019332 Loss_G: 0.008365 Loss_D_real: -0.008572 Loss_D_fake 0.010760
[1563/5000][425/535][161364] Loss_D: -0.019372 Loss_G: -0.004818 Loss_D_real: -0.017594 Loss_D_fake 0.001778
[1563/5000][430/535][161365] Loss_D: -0.016594 Loss_G: 0.030738 Loss_D_real: -0.033596 Loss_D_fake -0.017002
[1563/5000][435/535][161366] Loss_D: -0.019888 Loss_G: 0.012303 Loss_D_real: -0.031773 Loss_D_fake -0.011886
[1563/5000][440/535][161367] Loss_D: -0.020013 Loss_G: -0.009356 Loss_D_real: -0.010529 Loss_D_fake 0.009484
[1563/5000][445/535][161368] Loss_D: -0.019211 Loss_G: 0.007125 Loss_D_real: -0.021916 Loss_D_fake -0.002705
[1563/5000][450/535][161369] Loss_D: -0.019656 Loss_G: -0.007230 Loss_D_real: -0.014101 Loss_D_fake 0.005556
[1563/5000][455/535][161370] Loss_D: -0.018657 Loss_G: 0.016658 Loss_D_real: -0.017201 Loss_D_fake 0.001456
[1563/5000][460/535][161371] Loss_D: -0.019148 Loss_G: -0.000870 Loss_D_real: -0.021177 Loss_D_fake -0.002029
[1563/5000][465/535][161372] Loss_D: -0.018574 Loss_G: 0.023036 Loss_D_real: -0.024175 Loss_D_fake -0.005601
[1563/5000][470/535][161373] Loss_D: -0.019108 Loss_G: 0.003498 Loss_D_real: -0.016762 Loss_D_fake 0.002346
[1563/5000][475/535][161374] Loss_D: -0.019356 Loss_G: 0.000785 Loss_D_real: -0.018009 Loss_D_fake 0.001348
[1563/5000][480/535][161375] Loss_D: -0.018071 Loss_G: -0.007513 Loss_D_real: 0.006924 Loss_D_fake 0.024996
[1563/5000][485/535][161376] Loss_D: -0.020394 Loss_G: 0.005896 Loss_D_real: -0.018050 Loss_D_fake 0.002344
[1563/5000][490/535][161377] Loss_D: -0.019134 Loss_G: -0.013032 Loss_D_real: -0.001226 Loss_D_fake 0.017908
[1563/5000][495/535][161378] Loss_D: -0.018070 Loss_G: 0.003105 Loss_D_real: -0.008764 Loss_D_fake 0.009306
[1563/5000][500/535][161379] Loss_D: -0.018786 Loss_G: -0.008732 Loss_D_real: -0.013171 Loss_D_fake 0.005615
[1563/5000][505/535][161380] Loss_D: -0.019270 Loss_G: 0.013566 Loss_D_real: -0.031982 Loss_D_fake -0.012712
[1563/5000][510/535][161381] Loss_D: -0.019521 Loss_G: 0.010328 Loss_D_real: -0.013139 Loss_D_fake 0.006383
[1563/5000][515/535][161382] Loss_D: -0.019566 Loss_G: 0.023011 Loss_D_real: -0.028243 Loss_D_fake -0.008677
[1563/5000][520/535][161383] Loss_D: -0.020477 Loss_G: 0.005052 Loss_D_real: -0.009929 Loss_D_fake 0.010548
[1563/5000][525/535][161384] Loss_D: -0.019100 Loss_G: 0.008366 Loss_D_real: -0.016713 Loss_D_fake 0.002387
[1563/5000][530/535][161385] Loss_D: -0.018641 Loss_G: -0.002674 Loss_D_real: -0.017479 Loss_D_fake 0.001163
[1563/5000][535/535][161386] Loss_D: -0.021084 Loss_G: 0.014545 Loss_D_real: -0.007819 Loss_D_fake 0.013265
[1564/5000][5/535][161387] Loss_D: -0.019382 Loss_G: 0.009123 Loss_D_real: -0.023813 Loss_D_fake -0.004432
[1564/5000][10/535][161388] Loss_D: -0.018709 Loss_G: 0.005608 Loss_D_real: -0.025235 Loss_D_fake -0.006526
[1564/5000][15/535][161389] Loss_D: -0.023026 Loss_G: -0.003164 Loss_D_real: -0.024154 Loss_D_fake -0.001128
[1564/5000][20/535][161390] Loss_D: -0.019517 Loss_G: -0.006914 Loss_D_real: -0.011043 Loss_D_fake 0.008474
[1564/5000][25/535][161391] Loss_D: -0.020209 Loss_G: 0.014950 Loss_D_real: -0.012298 Loss_D_fake 0.007911
[1564/5000][30/535][161392] Loss_D: -0.019781 Loss_G: 0.019222 Loss_D_real: -0.035683 Loss_D_fake -0.015902
[1564/5000][35/535][161393] Loss_D: -0.020479 Loss_G: 0.004589 Loss_D_real: -0.022133 Loss_D_fake -0.001655
[1564/5000][40/535][161394] Loss_D: -0.019668 Loss_G: -0.010857 Loss_D_real: -0.001235 Loss_D_fake 0.018433
[1564/5000][45/535][161395] Loss_D: -0.020089 Loss_G: -0.002815 Loss_D_real: -0.005216 Loss_D_fake 0.014873
[1564/5000][50/535][161396] Loss_D: -0.020437 Loss_G: 0.005360 Loss_D_real: -0.010558 Loss_D_fake 0.009879
[1564/5000][55/535][161397] Loss_D: -0.019804 Loss_G: 0.014003 Loss_D_real: -0.017498 Loss_D_fake 0.002306
[1564/5000][60/535][161398] Loss_D: -0.019950 Loss_G: -0.007322 Loss_D_real: -0.002041 Loss_D_fake 0.017908
[1564/5000][65/535][161399] Loss_D: -0.018936 Loss_G: 0.014562 Loss_D_real: -0.020999 Loss_D_fake -0.002063
[1564/5000][70/535][161400] Loss_D: -0.019139 Loss_G: 0.025900 Loss_D_real: -0.034737 Loss_D_fake -0.015597
[1564/5000][75/535][161401] Loss_D: -0.019223 Loss_G: -0.002419 Loss_D_real: -0.003492 Loss_D_fake 0.015731
[1564/5000][80/535][161402] Loss_D: -0.019466 Loss_G: 0.008389 Loss_D_real: -0.018587 Loss_D_fake 0.000879
[1564/5000][85/535][161403] Loss_D: -0.019987 Loss_G: 0.000800 Loss_D_real: -0.025649 Loss_D_fake -0.005663
[1564/5000][90/535][161404] Loss_D: -0.020533 Loss_G: -0.003332 Loss_D_real: -0.014342 Loss_D_fake 0.006191
[1564/5000][95/535][161405] Loss_D: -0.020287 Loss_G: 0.004988 Loss_D_real: -0.019050 Loss_D_fake 0.001237
[1564/5000][100/535][161406] Loss_D: -0.020251 Loss_G: 0.022612 Loss_D_real: -0.014684 Loss_D_fake 0.005567
[1564/5000][105/535][161407] Loss_D: -0.020418 Loss_G: -0.007197 Loss_D_real: 0.000756 Loss_D_fake 0.021174
[1564/5000][110/535][161408] Loss_D: -0.018628 Loss_G: -0.009432 Loss_D_real: 0.001513 Loss_D_fake 0.020141
[1564/5000][115/535][161409] Loss_D: -0.019490 Loss_G: 0.009406 Loss_D_real: -0.018081 Loss_D_fake 0.001409
[1564/5000][120/535][161410] Loss_D: -0.019484 Loss_G: 0.017780 Loss_D_real: -0.010831 Loss_D_fake 0.008653
[1564/5000][125/535][161411] Loss_D: -0.018956 Loss_G: 0.014089 Loss_D_real: -0.017734 Loss_D_fake 0.001223
[1564/5000][130/535][161412] Loss_D: -0.019461 Loss_G: -0.006598 Loss_D_real: -0.006070 Loss_D_fake 0.013390
[1564/5000][135/535][161413] Loss_D: -0.019527 Loss_G: -0.003143 Loss_D_real: -0.021770 Loss_D_fake -0.002242
[1564/5000][140/535][161414] Loss_D: -0.018478 Loss_G: 0.022452 Loss_D_real: -0.026832 Loss_D_fake -0.008354
[1564/5000][145/535][161415] Loss_D: -0.019062 Loss_G: -0.013841 Loss_D_real: 0.001348 Loss_D_fake 0.020410
[1564/5000][150/535][161416] Loss_D: -0.019388 Loss_G: 0.019810 Loss_D_real: -0.013580 Loss_D_fake 0.005808
[1564/5000][155/535][161417] Loss_D: -0.018461 Loss_G: -0.007662 Loss_D_real: -0.005108 Loss_D_fake 0.013353
[1564/5000][160/535][161418] Loss_D: -0.020363 Loss_G: -0.005399 Loss_D_real: -0.005510 Loss_D_fake 0.014852
[1564/5000][165/535][161419] Loss_D: -0.019795 Loss_G: 0.015303 Loss_D_real: -0.021454 Loss_D_fake -0.001659
[1564/5000][170/535][161420] Loss_D: -0.019628 Loss_G: -0.002721 Loss_D_real: -0.012921 Loss_D_fake 0.006706
[1564/5000][175/535][161421] Loss_D: -0.020599 Loss_G: 0.015618 Loss_D_real: -0.019905 Loss_D_fake 0.000694
[1564/5000][180/535][161422] Loss_D: -0.020388 Loss_G: 0.010426 Loss_D_real: -0.017138 Loss_D_fake 0.003251
[1564/5000][185/535][161423] Loss_D: -0.020131 Loss_G: -0.017575 Loss_D_real: -0.004863 Loss_D_fake 0.015268
[1564/5000][190/535][161424] Loss_D: -0.017117 Loss_G: -0.015465 Loss_D_real: -0.006176 Loss_D_fake 0.010941
[1564/5000][195/535][161425] Loss_D: -0.019034 Loss_G: 0.006211 Loss_D_real: -0.010795 Loss_D_fake 0.008239
[1564/5000][200/535][161426] Loss_D: -0.019567 Loss_G: 0.002071 Loss_D_real: -0.004728 Loss_D_fake 0.014839
[1564/5000][205/535][161427] Loss_D: -0.018121 Loss_G: 0.020688 Loss_D_real: -0.024357 Loss_D_fake -0.006236
[1564/5000][210/535][161428] Loss_D: -0.018818 Loss_G: 0.011619 Loss_D_real: -0.028107 Loss_D_fake -0.009289
[1564/5000][215/535][161429] Loss_D: -0.020420 Loss_G: 0.005123 Loss_D_real: -0.009438 Loss_D_fake 0.010982
[1564/5000][220/535][161430] Loss_D: -0.020093 Loss_G: 0.002366 Loss_D_real: -0.011801 Loss_D_fake 0.008292
[1564/5000][225/535][161431] Loss_D: -0.018794 Loss_G: 0.003876 Loss_D_real: -0.022617 Loss_D_fake -0.003823
[1564/5000][230/535][161432] Loss_D: -0.019746 Loss_G: 0.008427 Loss_D_real: -0.005076 Loss_D_fake 0.014670
[1564/5000][235/535][161433] Loss_D: -0.018716 Loss_G: -0.010826 Loss_D_real: -0.009785 Loss_D_fake 0.008931
[1564/5000][240/535][161434] Loss_D: -0.018328 Loss_G: 0.002361 Loss_D_real: -0.016063 Loss_D_fake 0.002266
[1564/5000][245/535][161435] Loss_D: -0.019375 Loss_G: 0.022660 Loss_D_real: -0.029206 Loss_D_fake -0.009831
[1564/5000][250/535][161436] Loss_D: -0.019030 Loss_G: 0.010944 Loss_D_real: -0.028050 Loss_D_fake -0.009021
[1564/5000][255/535][161437] Loss_D: -0.019703 Loss_G: -0.004432 Loss_D_real: -0.010576 Loss_D_fake 0.009128
[1564/5000][260/535][161438] Loss_D: -0.019573 Loss_G: 0.017562 Loss_D_real: -0.024242 Loss_D_fake -0.004669
[1564/5000][265/535][161439] Loss_D: -0.019908 Loss_G: 0.017834 Loss_D_real: -0.012924 Loss_D_fake 0.006984
[1564/5000][270/535][161440] Loss_D: -0.019958 Loss_G: 0.023265 Loss_D_real: -0.017880 Loss_D_fake 0.002078
[1564/5000][275/535][161441] Loss_D: -0.018719 Loss_G: -0.000851 Loss_D_real: -0.020113 Loss_D_fake -0.001393
[1564/5000][280/535][161442] Loss_D: -0.019479 Loss_G: -0.007364 Loss_D_real: -0.014964 Loss_D_fake 0.004515
[1564/5000][285/535][161443] Loss_D: -0.018026 Loss_G: 0.028232 Loss_D_real: -0.027845 Loss_D_fake -0.009819
[1564/5000][290/535][161444] Loss_D: -0.021628 Loss_G: -0.000977 Loss_D_real: -0.019831 Loss_D_fake 0.001797
[1564/5000][295/535][161445] Loss_D: -0.019509 Loss_G: 0.029795 Loss_D_real: -0.031470 Loss_D_fake -0.011961
[1564/5000][300/535][161446] Loss_D: -0.020827 Loss_G: 0.002159 Loss_D_real: -0.013187 Loss_D_fake 0.007641
[1564/5000][305/535][161447] Loss_D: -0.021117 Loss_G: 0.004436 Loss_D_real: -0.014723 Loss_D_fake 0.006395
[1564/5000][310/535][161448] Loss_D: -0.020313 Loss_G: 0.001337 Loss_D_real: -0.011908 Loss_D_fake 0.008405
[1564/5000][315/535][161449] Loss_D: -0.020868 Loss_G: 0.012895 Loss_D_real: -0.021652 Loss_D_fake -0.000784
[1564/5000][320/535][161450] Loss_D: -0.019332 Loss_G: 0.013045 Loss_D_real: -0.021042 Loss_D_fake -0.001710
[1564/5000][325/535][161451] Loss_D: -0.019291 Loss_G: -0.018042 Loss_D_real: 0.000051 Loss_D_fake 0.019342
[1564/5000][330/535][161452] Loss_D: -0.019093 Loss_G: 0.018153 Loss_D_real: -0.035642 Loss_D_fake -0.016550
[1564/5000][335/535][161453] Loss_D: -0.019904 Loss_G: -0.004703 Loss_D_real: -0.006099 Loss_D_fake 0.013805
[1564/5000][340/535][161454] Loss_D: -0.018749 Loss_G: 0.005455 Loss_D_real: -0.009199 Loss_D_fake 0.009550
[1564/5000][345/535][161455] Loss_D: -0.019686 Loss_G: 0.010763 Loss_D_real: -0.012558 Loss_D_fake 0.007127
[1564/5000][350/535][161456] Loss_D: -0.018366 Loss_G: 0.005106 Loss_D_real: -0.024475 Loss_D_fake -0.006109
[1564/5000][355/535][161457] Loss_D: -0.019261 Loss_G: 0.003797 Loss_D_real: -0.005046 Loss_D_fake 0.014215
[1564/5000][360/535][161458] Loss_D: -0.018684 Loss_G: 0.011723 Loss_D_real: -0.032182 Loss_D_fake -0.013498
[1564/5000][365/535][161459] Loss_D: -0.019759 Loss_G: 0.011112 Loss_D_real: -0.001762 Loss_D_fake 0.017998
[1564/5000][370/535][161460] Loss_D: -0.016132 Loss_G: 0.030115 Loss_D_real: -0.024315 Loss_D_fake -0.008183
[1564/5000][375/535][161461] Loss_D: -0.019531 Loss_G: 0.008325 Loss_D_real: -0.015657 Loss_D_fake 0.003874
[1564/5000][380/535][161462] Loss_D: -0.018116 Loss_G: 0.011235 Loss_D_real: -0.020897 Loss_D_fake -0.002781
[1564/5000][385/535][161463] Loss_D: -0.018828 Loss_G: 0.021347 Loss_D_real: -0.001469 Loss_D_fake 0.017359
[1564/5000][390/535][161464] Loss_D: -0.019043 Loss_G: 0.007843 Loss_D_real: -0.028065 Loss_D_fake -0.009021
[1564/5000][395/535][161465] Loss_D: -0.019967 Loss_G: -0.003641 Loss_D_real: -0.010343 Loss_D_fake 0.009624
[1564/5000][400/535][161466] Loss_D: -0.018020 Loss_G: 0.021454 Loss_D_real: -0.028175 Loss_D_fake -0.010155
[1564/5000][405/535][161467] Loss_D: -0.019853 Loss_G: 0.004828 Loss_D_real: -0.014646 Loss_D_fake 0.005207
[1564/5000][410/535][161468] Loss_D: -0.021170 Loss_G: -0.000812 Loss_D_real: -0.002304 Loss_D_fake 0.018866
[1564/5000][415/535][161469] Loss_D: -0.018863 Loss_G: 0.016585 Loss_D_real: -0.028849 Loss_D_fake -0.009986
[1564/5000][420/535][161470] Loss_D: -0.021271 Loss_G: 0.005890 Loss_D_real: -0.027458 Loss_D_fake -0.006187
[1564/5000][425/535][161471] Loss_D: -0.019889 Loss_G: 0.012161 Loss_D_real: -0.025726 Loss_D_fake -0.005838
[1564/5000][430/535][161472] Loss_D: -0.019915 Loss_G: -0.007281 Loss_D_real: -0.004851 Loss_D_fake 0.015063
[1564/5000][435/535][161473] Loss_D: -0.019889 Loss_G: 0.013779 Loss_D_real: -0.019403 Loss_D_fake 0.000486
[1564/5000][440/535][161474] Loss_D: -0.019535 Loss_G: 0.007266 Loss_D_real: -0.016545 Loss_D_fake 0.002990
[1564/5000][445/535][161475] Loss_D: -0.020212 Loss_G: 0.000928 Loss_D_real: -0.012639 Loss_D_fake 0.007573
[1564/5000][450/535][161476] Loss_D: -0.018003 Loss_G: 0.017338 Loss_D_real: -0.029656 Loss_D_fake -0.011653
[1564/5000][455/535][161477] Loss_D: -0.020253 Loss_G: 0.004911 Loss_D_real: -0.007322 Loss_D_fake 0.012931
[1564/5000][460/535][161478] Loss_D: -0.017855 Loss_G: 0.007938 Loss_D_real: -0.024050 Loss_D_fake -0.006195
[1564/5000][465/535][161479] Loss_D: -0.019440 Loss_G: 0.001941 Loss_D_real: -0.012775 Loss_D_fake 0.006665
[1564/5000][470/535][161480] Loss_D: -0.018269 Loss_G: 0.003430 Loss_D_real: -0.014732 Loss_D_fake 0.003537
[1564/5000][475/535][161481] Loss_D: -0.019522 Loss_G: 0.001820 Loss_D_real: -0.018272 Loss_D_fake 0.001250
[1564/5000][480/535][161482] Loss_D: -0.018345 Loss_G: 0.016810 Loss_D_real: -0.019588 Loss_D_fake -0.001244
[1564/5000][485/535][161483] Loss_D: -0.018509 Loss_G: 0.008759 Loss_D_real: -0.008163 Loss_D_fake 0.010346
[1564/5000][490/535][161484] Loss_D: -0.019364 Loss_G: -0.019605 Loss_D_real: -0.009873 Loss_D_fake 0.009491
[1564/5000][495/535][161485] Loss_D: -0.019404 Loss_G: 0.016331 Loss_D_real: -0.020764 Loss_D_fake -0.001360
[1564/5000][500/535][161486] Loss_D: -0.019150 Loss_G: 0.017263 Loss_D_real: -0.009465 Loss_D_fake 0.009685
[1564/5000][505/535][161487] Loss_D: -0.018517 Loss_G: -0.000137 Loss_D_real: -0.008243 Loss_D_fake 0.010274
[1564/5000][510/535][161488] Loss_D: -0.018591 Loss_G: 0.005821 Loss_D_real: -0.017962 Loss_D_fake 0.000629
[1564/5000][515/535][161489] Loss_D: -0.019345 Loss_G: -0.007452 Loss_D_real: -0.013179 Loss_D_fake 0.006166
[1564/5000][520/535][161490] Loss_D: -0.019756 Loss_G: -0.001195 Loss_D_real: -0.005159 Loss_D_fake 0.014597
[1564/5000][525/535][161491] Loss_D: -0.018476 Loss_G: 0.006990 Loss_D_real: -0.008334 Loss_D_fake 0.010142
[1564/5000][530/535][161492] Loss_D: -0.018564 Loss_G: 0.002303 Loss_D_real: -0.009722 Loss_D_fake 0.008842
[1564/5000][535/535][161493] Loss_D: -0.020281 Loss_G: -0.004664 Loss_D_real: -0.019633 Loss_D_fake 0.000648
[1565/5000][5/535][161494] Loss_D: -0.020026 Loss_G: 0.034539 Loss_D_real: -0.022455 Loss_D_fake -0.002429
[1565/5000][10/535][161495] Loss_D: -0.018811 Loss_G: 0.014492 Loss_D_real: -0.012185 Loss_D_fake 0.006626
[1565/5000][15/535][161496] Loss_D: -0.019105 Loss_G: -0.001782 Loss_D_real: -0.010266 Loss_D_fake 0.008838
[1565/5000][20/535][161497] Loss_D: -0.019401 Loss_G: -0.006151 Loss_D_real: -0.010522 Loss_D_fake 0.008880
[1565/5000][25/535][161498] Loss_D: -0.019367 Loss_G: -0.005571 Loss_D_real: -0.020696 Loss_D_fake -0.001328
[1565/5000][30/535][161499] Loss_D: -0.020474 Loss_G: 0.015208 Loss_D_real: -0.016922 Loss_D_fake 0.003552
[1565/5000][35/535][161500] Loss_D: -0.021029 Loss_G: 0.012571 Loss_D_real: -0.006576 Loss_D_fake 0.014453
[1565/5000][135/535][161501] Loss_D: -0.022626 Loss_G: 0.024328 Loss_D_real: -0.033224 Loss_D_fake -0.010598
[1565/5000][140/535][161502] Loss_D: -0.017570 Loss_G: -0.005047 Loss_D_real: 0.000807 Loss_D_fake 0.018377
[1565/5000][145/535][161503] Loss_D: -0.019253 Loss_G: 0.012957 Loss_D_real: -0.013845 Loss_D_fake 0.005409
[1565/5000][150/535][161504] Loss_D: -0.017541 Loss_G: 0.015268 Loss_D_real: -0.018384 Loss_D_fake -0.000843
[1565/5000][155/535][161505] Loss_D: -0.020019 Loss_G: 0.003173 Loss_D_real: 0.004545 Loss_D_fake 0.024564
[1565/5000][160/535][161506] Loss_D: -0.019201 Loss_G: 0.008277 Loss_D_real: -0.014409 Loss_D_fake 0.004792
[1565/5000][165/535][161507] Loss_D: -0.018157 Loss_G: 0.018517 Loss_D_real: -0.024131 Loss_D_fake -0.005974
[1565/5000][170/535][161508] Loss_D: -0.018670 Loss_G: 0.006122 Loss_D_real: -0.022977 Loss_D_fake -0.004307
[1565/5000][175/535][161509] Loss_D: -0.019449 Loss_G: 0.009892 Loss_D_real: -0.013132 Loss_D_fake 0.006317
[1565/5000][180/535][161510] Loss_D: -0.017184 Loss_G: -0.017045 Loss_D_real: 0.006855 Loss_D_fake 0.024038
[1565/5000][185/535][161511] Loss_D: -0.019442 Loss_G: -0.000978 Loss_D_real: -0.021881 Loss_D_fake -0.002439
[1565/5000][190/535][161512] Loss_D: -0.019865 Loss_G: 0.007702 Loss_D_real: -0.014267 Loss_D_fake 0.005598
[1565/5000][195/535][161513] Loss_D: -0.018714 Loss_G: -0.010012 Loss_D_real: -0.010839 Loss_D_fake 0.007874
[1565/5000][200/535][161514] Loss_D: -0.018505 Loss_G: 0.000648 Loss_D_real: -0.009226 Loss_D_fake 0.009279
[1565/5000][205/535][161515] Loss_D: -0.018086 Loss_G: 0.013316 Loss_D_real: -0.023694 Loss_D_fake -0.005607
[1565/5000][210/535][161516] Loss_D: -0.018643 Loss_G: 0.008275 Loss_D_real: -0.014168 Loss_D_fake 0.004474
[1565/5000][215/535][161517] Loss_D: -0.019164 Loss_G: -0.009440 Loss_D_real: -0.014665 Loss_D_fake 0.004499
[1565/5000][220/535][161518] Loss_D: -0.020162 Loss_G: 0.011165 Loss_D_real: -0.014558 Loss_D_fake 0.005605
[1565/5000][225/535][161519] Loss_D: -0.019557 Loss_G: -0.002724 Loss_D_real: 0.004116 Loss_D_fake 0.023673
[1565/5000][230/535][161520] Loss_D: -0.018377 Loss_G: -0.002242 Loss_D_real: 0.004997 Loss_D_fake 0.023374
[1565/5000][235/535][161521] Loss_D: -0.018815 Loss_G: 0.023957 Loss_D_real: -0.026772 Loss_D_fake -0.007957
[1565/5000][240/535][161522] Loss_D: -0.018455 Loss_G: 0.008331 Loss_D_real: -0.012151 Loss_D_fake 0.006304
[1565/5000][245/535][161523] Loss_D: -0.018961 Loss_G: 0.002027 Loss_D_real: -0.008334 Loss_D_fake 0.010627
[1565/5000][250/535][161524] Loss_D: -0.020374 Loss_G: -0.003832 Loss_D_real: -0.013474 Loss_D_fake 0.006900
[1565/5000][255/535][161525] Loss_D: -0.018410 Loss_G: -0.010996 Loss_D_real: 0.003660 Loss_D_fake 0.022070
[1565/5000][260/535][161526] Loss_D: -0.018902 Loss_G: 0.014310 Loss_D_real: -0.020693 Loss_D_fake -0.001791
[1565/5000][265/535][161527] Loss_D: -0.018477 Loss_G: -0.021999 Loss_D_real: -0.018964 Loss_D_fake -0.000488
[1565/5000][270/535][161528] Loss_D: -0.018738 Loss_G: -0.015215 Loss_D_real: -0.006504 Loss_D_fake 0.012235
[1565/5000][275/535][161529] Loss_D: -0.018464 Loss_G: 0.012165 Loss_D_real: -0.014766 Loss_D_fake 0.003698
[1565/5000][280/535][161530] Loss_D: -0.019214 Loss_G: 0.011999 Loss_D_real: -0.018220 Loss_D_fake 0.000994
[1565/5000][285/535][161531] Loss_D: -0.019059 Loss_G: 0.005640 Loss_D_real: -0.017683 Loss_D_fake 0.001376
[1565/5000][290/535][161532] Loss_D: -0.019223 Loss_G: -0.011544 Loss_D_real: -0.012704 Loss_D_fake 0.006520
[1565/5000][295/535][161533] Loss_D: -0.018888 Loss_G: 0.008414 Loss_D_real: -0.022846 Loss_D_fake -0.003958
[1565/5000][300/535][161534] Loss_D: -0.019458 Loss_G: 0.021050 Loss_D_real: -0.022313 Loss_D_fake -0.002855
[1565/5000][305/535][161535] Loss_D: -0.019478 Loss_G: 0.003591 Loss_D_real: -0.030905 Loss_D_fake -0.011427
[1565/5000][310/535][161536] Loss_D: -0.019253 Loss_G: -0.005845 Loss_D_real: -0.001818 Loss_D_fake 0.017435
[1565/5000][315/535][161537] Loss_D: -0.018459 Loss_G: 0.014849 Loss_D_real: -0.032204 Loss_D_fake -0.013745
[1565/5000][320/535][161538] Loss_D: -0.017623 Loss_G: -0.014204 Loss_D_real: -0.005984 Loss_D_fake 0.011639
[1565/5000][325/535][161539] Loss_D: -0.017898 Loss_G: 0.010090 Loss_D_real: -0.022051 Loss_D_fake -0.004153
[1565/5000][330/535][161540] Loss_D: -0.020558 Loss_G: 0.013903 Loss_D_real: -0.018998 Loss_D_fake 0.001560
[1565/5000][335/535][161541] Loss_D: -0.019263 Loss_G: 0.013611 Loss_D_real: -0.019680 Loss_D_fake -0.000416
[1565/5000][340/535][161542] Loss_D: -0.018963 Loss_G: 0.014898 Loss_D_real: -0.028088 Loss_D_fake -0.009125
[1565/5000][345/535][161543] Loss_D: -0.019858 Loss_G: 0.010056 Loss_D_real: -0.020275 Loss_D_fake -0.000417
[1565/5000][350/535][161544] Loss_D: -0.018083 Loss_G: 0.013135 Loss_D_real: -0.020534 Loss_D_fake -0.002451
[1565/5000][355/535][161545] Loss_D: -0.018301 Loss_G: 0.016362 Loss_D_real: -0.009545 Loss_D_fake 0.008756
[1565/5000][360/535][161546] Loss_D: -0.017964 Loss_G: -0.002839 Loss_D_real: 0.000269 Loss_D_fake 0.018233
[1565/5000][365/535][161547] Loss_D: -0.018886 Loss_G: 0.021299 Loss_D_real: -0.029385 Loss_D_fake -0.010499
[1565/5000][370/535][161548] Loss_D: -0.020067 Loss_G: -0.008498 Loss_D_real: -0.017338 Loss_D_fake 0.002728
[1565/5000][375/535][161549] Loss_D: -0.019750 Loss_G: 0.005897 Loss_D_real: -0.019352 Loss_D_fake 0.000399
[1565/5000][380/535][161550] Loss_D: -0.018946 Loss_G: -0.000678 Loss_D_real: -0.004232 Loss_D_fake 0.014714
[1565/5000][385/535][161551] Loss_D: -0.018579 Loss_G: 0.024553 Loss_D_real: -0.037630 Loss_D_fake -0.019051
[1565/5000][390/535][161552] Loss_D: -0.019702 Loss_G: 0.014135 Loss_D_real: -0.014640 Loss_D_fake 0.005062
[1565/5000][395/535][161553] Loss_D: -0.019679 Loss_G: -0.005437 Loss_D_real: -0.020348 Loss_D_fake -0.000669
[1565/5000][400/535][161554] Loss_D: -0.018875 Loss_G: 0.004833 Loss_D_real: -0.015215 Loss_D_fake 0.003660
[1565/5000][405/535][161555] Loss_D: -0.020188 Loss_G: 0.001808 Loss_D_real: 0.009502 Loss_D_fake 0.029690
[1565/5000][410/535][161556] Loss_D: -0.019800 Loss_G: 0.003018 Loss_D_real: -0.010581 Loss_D_fake 0.009219
[1565/5000][415/535][161557] Loss_D: -0.018011 Loss_G: 0.005326 Loss_D_real: -0.020573 Loss_D_fake -0.002562
[1565/5000][420/535][161558] Loss_D: -0.018783 Loss_G: -0.013519 Loss_D_real: -0.006887 Loss_D_fake 0.011896
[1565/5000][425/535][161559] Loss_D: -0.019315 Loss_G: 0.002966 Loss_D_real: -0.013116 Loss_D_fake 0.006200
[1565/5000][430/535][161560] Loss_D: -0.019361 Loss_G: -0.005465 Loss_D_real: -0.004012 Loss_D_fake 0.015349
[1565/5000][435/535][161561] Loss_D: -0.019002 Loss_G: 0.012859 Loss_D_real: -0.014885 Loss_D_fake 0.004117
[1565/5000][440/535][161562] Loss_D: -0.020136 Loss_G: 0.000169 Loss_D_real: -0.008794 Loss_D_fake 0.011342
[1565/5000][445/535][161563] Loss_D: -0.020056 Loss_G: 0.001493 Loss_D_real: -0.020492 Loss_D_fake -0.000437
[1565/5000][450/535][161564] Loss_D: -0.019566 Loss_G: 0.019438 Loss_D_real: -0.019738 Loss_D_fake -0.000172
[1565/5000][455/535][161565] Loss_D: -0.019789 Loss_G: -0.005060 Loss_D_real: -0.003201 Loss_D_fake 0.016588
[1565/5000][460/535][161566] Loss_D: -0.020062 Loss_G: 0.013534 Loss_D_real: -0.026728 Loss_D_fake -0.006667
[1565/5000][465/535][161567] Loss_D: -0.019952 Loss_G: -0.009795 Loss_D_real: -0.007851 Loss_D_fake 0.012101
[1565/5000][470/535][161568] Loss_D: -0.019980 Loss_G: -0.008226 Loss_D_real: -0.008267 Loss_D_fake 0.011712
[1565/5000][475/535][161569] Loss_D: -0.019198 Loss_G: 0.010585 Loss_D_real: -0.021645 Loss_D_fake -0.002446
[1565/5000][480/535][161570] Loss_D: -0.018888 Loss_G: -0.013675 Loss_D_real: 0.005052 Loss_D_fake 0.023940
[1565/5000][485/535][161571] Loss_D: -0.021724 Loss_G: 0.020597 Loss_D_real: -0.003065 Loss_D_fake 0.018659
[1565/5000][490/535][161572] Loss_D: -0.021220 Loss_G: -0.000481 Loss_D_real: -0.012584 Loss_D_fake 0.008636
[1565/5000][495/535][161573] Loss_D: -0.019897 Loss_G: -0.006129 Loss_D_real: -0.004595 Loss_D_fake 0.015302
[1565/5000][500/535][161574] Loss_D: -0.019511 Loss_G: -0.002901 Loss_D_real: -0.014581 Loss_D_fake 0.004931
[1565/5000][505/535][161575] Loss_D: -0.020550 Loss_G: 0.007622 Loss_D_real: -0.014553 Loss_D_fake 0.005997
[1565/5000][510/535][161576] Loss_D: -0.021268 Loss_G: 0.005781 Loss_D_real: -0.022439 Loss_D_fake -0.001170
[1565/5000][515/535][161577] Loss_D: -0.019121 Loss_G: 0.016139 Loss_D_real: -0.027737 Loss_D_fake -0.008616
[1565/5000][520/535][161578] Loss_D: -0.018930 Loss_G: 0.019888 Loss_D_real: -0.023514 Loss_D_fake -0.004583
[1565/5000][525/535][161579] Loss_D: -0.019892 Loss_G: 0.008779 Loss_D_real: -0.023506 Loss_D_fake -0.003614
[1565/5000][530/535][161580] Loss_D: -0.021296 Loss_G: 0.005139 Loss_D_real: -0.021287 Loss_D_fake 0.000009
[1565/5000][535/535][161581] Loss_D: -0.018055 Loss_G: 0.001289 Loss_D_real: -0.003940 Loss_D_fake 0.014115
[1566/5000][5/535][161582] Loss_D: -0.018687 Loss_G: -0.010746 Loss_D_real: -0.006369 Loss_D_fake 0.012318
[1566/5000][10/535][161583] Loss_D: -0.018258 Loss_G: 0.002670 Loss_D_real: -0.021023 Loss_D_fake -0.002765
[1566/5000][15/535][161584] Loss_D: -0.018795 Loss_G: -0.005789 Loss_D_real: -0.012631 Loss_D_fake 0.006163
[1566/5000][20/535][161585] Loss_D: -0.018240 Loss_G: 0.010779 Loss_D_real: -0.024080 Loss_D_fake -0.005840
[1566/5000][25/535][161586] Loss_D: -0.019540 Loss_G: 0.009783 Loss_D_real: -0.013171 Loss_D_fake 0.006369
[1566/5000][30/535][161587] Loss_D: -0.019341 Loss_G: 0.020034 Loss_D_real: -0.017195 Loss_D_fake 0.002146
[1566/5000][35/535][161588] Loss_D: -0.018952 Loss_G: 0.024331 Loss_D_real: -0.016450 Loss_D_fake 0.002502
[1566/5000][40/535][161589] Loss_D: -0.020113 Loss_G: 0.001120 Loss_D_real: -0.021975 Loss_D_fake -0.001862
[1566/5000][45/535][161590] Loss_D: -0.019416 Loss_G: -0.000178 Loss_D_real: -0.012128 Loss_D_fake 0.007288
[1566/5000][50/535][161591] Loss_D: -0.019323 Loss_G: -0.009852 Loss_D_real: -0.015708 Loss_D_fake 0.003616
[1566/5000][55/535][161592] Loss_D: -0.019642 Loss_G: 0.029172 Loss_D_real: -0.020389 Loss_D_fake -0.000747
[1566/5000][60/535][161593] Loss_D: -0.018635 Loss_G: -0.014470 Loss_D_real: -0.005622 Loss_D_fake 0.013013
[1566/5000][65/535][161594] Loss_D: -0.018957 Loss_G: -0.001629 Loss_D_real: -0.011010 Loss_D_fake 0.007947
[1566/5000][70/535][161595] Loss_D: -0.018878 Loss_G: 0.003797 Loss_D_real: -0.015921 Loss_D_fake 0.002957
[1566/5000][75/535][161596] Loss_D: -0.019157 Loss_G: -0.000171 Loss_D_real: -0.006935 Loss_D_fake 0.012222
[1566/5000][80/535][161597] Loss_D: -0.019058 Loss_G: -0.013187 Loss_D_real: -0.001646 Loss_D_fake 0.017412
[1566/5000][85/535][161598] Loss_D: -0.019462 Loss_G: 0.031309 Loss_D_real: -0.033296 Loss_D_fake -0.013834
[1566/5000][90/535][161599] Loss_D: -0.019004 Loss_G: 0.003268 Loss_D_real: -0.009559 Loss_D_fake 0.009445
[1566/5000][95/535][161600] Loss_D: -0.017961 Loss_G: 0.031406 Loss_D_real: -0.032822 Loss_D_fake -0.014860
[1566/5000][100/535][161601] Loss_D: -0.020010 Loss_G: -0.011053 Loss_D_real: -0.016809 Loss_D_fake 0.003201
[1566/5000][105/535][161602] Loss_D: -0.019133 Loss_G: -0.003425 Loss_D_real: -0.003688 Loss_D_fake 0.015445
[1566/5000][110/535][161603] Loss_D: -0.019405 Loss_G: 0.023099 Loss_D_real: -0.030555 Loss_D_fake -0.011150
[1566/5000][115/535][161604] Loss_D: -0.019675 Loss_G: 0.015653 Loss_D_real: -0.020511 Loss_D_fake -0.000836
[1566/5000][120/535][161605] Loss_D: -0.019014 Loss_G: -0.004708 Loss_D_real: -0.008071 Loss_D_fake 0.010943
[1566/5000][125/535][161606] Loss_D: -0.019777 Loss_G: 0.001118 Loss_D_real: -0.014536 Loss_D_fake 0.005241
[1566/5000][130/535][161607] Loss_D: -0.019475 Loss_G: 0.007163 Loss_D_real: -0.028970 Loss_D_fake -0.009495
[1566/5000][135/535][161608] Loss_D: -0.020298 Loss_G: 0.004348 Loss_D_real: -0.019399 Loss_D_fake 0.000898
[1566/5000][140/535][161609] Loss_D: -0.021421 Loss_G: -0.001262 Loss_D_real: -0.021165 Loss_D_fake 0.000257
[1566/5000][145/535][161610] Loss_D: -0.020092 Loss_G: -0.002503 Loss_D_real: -0.004897 Loss_D_fake 0.015196
[1566/5000][150/535][161611] Loss_D: -0.021007 Loss_G: 0.025308 Loss_D_real: -0.018874 Loss_D_fake 0.002133
[1566/5000][155/535][161612] Loss_D: -0.019419 Loss_G: 0.005642 Loss_D_real: -0.006874 Loss_D_fake 0.012546
[1566/5000][160/535][161613] Loss_D: -0.018207 Loss_G: 0.031724 Loss_D_real: -0.033239 Loss_D_fake -0.015032
[1566/5000][165/535][161614] Loss_D: -0.018863 Loss_G: -0.002469 Loss_D_real: 0.004149 Loss_D_fake 0.023012
[1566/5000][170/535][161615] Loss_D: -0.019823 Loss_G: 0.003172 Loss_D_real: -0.002605 Loss_D_fake 0.017218
[1566/5000][175/535][161616] Loss_D: -0.019338 Loss_G: 0.006101 Loss_D_real: -0.017144 Loss_D_fake 0.002193
[1566/5000][180/535][161617] Loss_D: -0.019268 Loss_G: -0.005278 Loss_D_real: -0.007313 Loss_D_fake 0.011954
[1566/5000][185/535][161618] Loss_D: -0.018692 Loss_G: 0.008006 Loss_D_real: -0.004688 Loss_D_fake 0.014004
[1566/5000][190/535][161619] Loss_D: -0.020378 Loss_G: 0.004596 Loss_D_real: -0.022417 Loss_D_fake -0.002039
[1566/5000][195/535][161620] Loss_D: -0.018780 Loss_G: 0.010226 Loss_D_real: -0.018024 Loss_D_fake 0.000756
[1566/5000][200/535][161621] Loss_D: -0.018662 Loss_G: 0.026888 Loss_D_real: -0.024859 Loss_D_fake -0.006197
[1566/5000][205/535][161622] Loss_D: -0.019384 Loss_G: 0.008216 Loss_D_real: -0.004749 Loss_D_fake 0.014635
[1566/5000][210/535][161623] Loss_D: -0.019286 Loss_G: 0.010308 Loss_D_real: -0.007908 Loss_D_fake 0.011378
[1566/5000][215/535][161624] Loss_D: -0.018674 Loss_G: 0.005070 Loss_D_real: 0.001110 Loss_D_fake 0.019784
[1566/5000][220/535][161625] Loss_D: -0.019294 Loss_G: -0.000314 Loss_D_real: -0.019733 Loss_D_fake -0.000439
[1566/5000][225/535][161626] Loss_D: -0.019408 Loss_G: 0.007477 Loss_D_real: -0.031497 Loss_D_fake -0.012089
[1566/5000][230/535][161627] Loss_D: -0.017433 Loss_G: 0.001730 Loss_D_real: -0.019048 Loss_D_fake -0.001615
[1566/5000][235/535][161628] Loss_D: -0.019157 Loss_G: -0.001964 Loss_D_real: -0.008261 Loss_D_fake 0.010896
[1566/5000][240/535][161629] Loss_D: -0.018819 Loss_G: -0.003675 Loss_D_real: -0.018179 Loss_D_fake 0.000640
[1566/5000][245/535][161630] Loss_D: -0.020725 Loss_G: 0.018733 Loss_D_real: -0.022605 Loss_D_fake -0.001880
[1566/5000][250/535][161631] Loss_D: -0.018774 Loss_G: -0.010788 Loss_D_real: -0.009342 Loss_D_fake 0.009432
[1566/5000][255/535][161632] Loss_D: -0.019280 Loss_G: 0.000627 Loss_D_real: -0.007750 Loss_D_fake 0.011530
[1566/5000][260/535][161633] Loss_D: -0.020057 Loss_G: 0.027627 Loss_D_real: -0.020246 Loss_D_fake -0.000188
[1566/5000][265/535][161634] Loss_D: -0.019368 Loss_G: 0.014751 Loss_D_real: -0.028742 Loss_D_fake -0.009374
[1566/5000][270/535][161635] Loss_D: -0.020308 Loss_G: -0.012210 Loss_D_real: 0.000172 Loss_D_fake 0.020479
[1566/5000][275/535][161636] Loss_D: -0.018866 Loss_G: 0.008204 Loss_D_real: -0.021072 Loss_D_fake -0.002206
[1566/5000][280/535][161637] Loss_D: -0.019633 Loss_G: 0.015236 Loss_D_real: -0.013986 Loss_D_fake 0.005647
[1566/5000][285/535][161638] Loss_D: -0.018240 Loss_G: 0.015621 Loss_D_real: -0.027866 Loss_D_fake -0.009626
[1566/5000][290/535][161639] Loss_D: -0.018602 Loss_G: -0.002345 Loss_D_real: -0.007158 Loss_D_fake 0.011445
[1566/5000][295/535][161640] Loss_D: -0.018106 Loss_G: -0.012697 Loss_D_real: -0.000976 Loss_D_fake 0.017130
[1566/5000][300/535][161641] Loss_D: -0.020492 Loss_G: 0.015134 Loss_D_real: -0.022359 Loss_D_fake -0.001868
[1566/5000][305/535][161642] Loss_D: -0.020533 Loss_G: -0.001762 Loss_D_real: -0.004538 Loss_D_fake 0.015995
[1566/5000][310/535][161643] Loss_D: -0.020593 Loss_G: -0.001325 Loss_D_real: -0.020187 Loss_D_fake 0.000406
[1566/5000][315/535][161644] Loss_D: -0.020431 Loss_G: 0.010627 Loss_D_real: -0.015710 Loss_D_fake 0.004721
[1566/5000][320/535][161645] Loss_D: -0.017985 Loss_G: -0.017214 Loss_D_real: -0.000537 Loss_D_fake 0.017448
[1566/5000][325/535][161646] Loss_D: -0.019702 Loss_G: 0.014255 Loss_D_real: -0.014590 Loss_D_fake 0.005112
[1566/5000][330/535][161647] Loss_D: -0.018698 Loss_G: 0.006731 Loss_D_real: -0.021014 Loss_D_fake -0.002316
[1566/5000][335/535][161648] Loss_D: -0.019570 Loss_G: 0.007085 Loss_D_real: -0.026649 Loss_D_fake -0.007079
[1566/5000][340/535][161649] Loss_D: -0.019156 Loss_G: 0.014185 Loss_D_real: -0.020294 Loss_D_fake -0.001138
[1566/5000][345/535][161650] Loss_D: -0.020040 Loss_G: 0.000321 Loss_D_real: -0.019358 Loss_D_fake 0.000682
[1566/5000][350/535][161651] Loss_D: -0.019008 Loss_G: 0.014096 Loss_D_real: -0.013949 Loss_D_fake 0.005059
[1566/5000][355/535][161652] Loss_D: -0.017754 Loss_G: -0.013906 Loss_D_real: 0.003988 Loss_D_fake 0.021742
[1566/5000][360/535][161653] Loss_D: -0.019137 Loss_G: 0.011949 Loss_D_real: -0.020372 Loss_D_fake -0.001236
[1566/5000][365/535][161654] Loss_D: -0.019095 Loss_G: -0.001223 Loss_D_real: -0.006203 Loss_D_fake 0.012891
[1566/5000][370/535][161655] Loss_D: -0.017992 Loss_G: -0.002448 Loss_D_real: -0.008983 Loss_D_fake 0.009010
[1566/5000][375/535][161656] Loss_D: -0.019569 Loss_G: 0.007912 Loss_D_real: -0.014299 Loss_D_fake 0.005270
[1566/5000][380/535][161657] Loss_D: -0.018523 Loss_G: 0.007230 Loss_D_real: -0.029578 Loss_D_fake -0.011055
[1566/5000][385/535][161658] Loss_D: -0.019555 Loss_G: 0.015633 Loss_D_real: -0.025252 Loss_D_fake -0.005697
[1566/5000][390/535][161659] Loss_D: -0.019783 Loss_G: -0.009640 Loss_D_real: -0.012831 Loss_D_fake 0.006951
[1566/5000][395/535][161660] Loss_D: -0.018211 Loss_G: 0.016075 Loss_D_real: -0.016294 Loss_D_fake 0.001917
[1566/5000][400/535][161661] Loss_D: -0.019238 Loss_G: -0.000321 Loss_D_real: -0.015382 Loss_D_fake 0.003856
[1566/5000][405/535][161662] Loss_D: -0.020274 Loss_G: 0.006699 Loss_D_real: -0.010070 Loss_D_fake 0.010204
[1566/5000][410/535][161663] Loss_D: -0.018822 Loss_G: 0.007808 Loss_D_real: -0.015881 Loss_D_fake 0.002941
[1566/5000][415/535][161664] Loss_D: -0.019712 Loss_G: 0.003801 Loss_D_real: -0.015879 Loss_D_fake 0.003833
[1566/5000][420/535][161665] Loss_D: -0.018925 Loss_G: 0.006291 Loss_D_real: -0.000738 Loss_D_fake 0.018188
[1566/5000][425/535][161666] Loss_D: -0.018901 Loss_G: -0.004190 Loss_D_real: -0.017980 Loss_D_fake 0.000921
[1566/5000][430/535][161667] Loss_D: -0.020104 Loss_G: 0.030224 Loss_D_real: -0.032861 Loss_D_fake -0.012757
[1566/5000][435/535][161668] Loss_D: -0.017136 Loss_G: 0.013278 Loss_D_real: -0.014851 Loss_D_fake 0.002286
[1566/5000][440/535][161669] Loss_D: -0.019265 Loss_G: 0.005230 Loss_D_real: -0.019575 Loss_D_fake -0.000311
[1566/5000][445/535][161670] Loss_D: -0.019561 Loss_G: 0.018497 Loss_D_real: -0.007462 Loss_D_fake 0.012099
[1566/5000][450/535][161671] Loss_D: -0.018998 Loss_G: -0.008448 Loss_D_real: -0.002083 Loss_D_fake 0.016915
[1566/5000][455/535][161672] Loss_D: -0.019596 Loss_G: -0.006951 Loss_D_real: -0.003930 Loss_D_fake 0.015666
[1566/5000][460/535][161673] Loss_D: -0.018604 Loss_G: 0.006413 Loss_D_real: -0.004490 Loss_D_fake 0.014114
[1566/5000][465/535][161674] Loss_D: -0.019663 Loss_G: 0.001841 Loss_D_real: -0.016338 Loss_D_fake 0.003325
[1566/5000][470/535][161675] Loss_D: -0.020506 Loss_G: 0.008360 Loss_D_real: -0.022370 Loss_D_fake -0.001864
[1566/5000][475/535][161676] Loss_D: -0.019468 Loss_G: -0.001367 Loss_D_real: -0.022973 Loss_D_fake -0.003505
[1566/5000][480/535][161677] Loss_D: -0.020806 Loss_G: 0.000372 Loss_D_real: -0.010685 Loss_D_fake 0.010121
[1566/5000][485/535][161678] Loss_D: -0.020294 Loss_G: 0.009608 Loss_D_real: -0.009693 Loss_D_fake 0.010601
[1566/5000][490/535][161679] Loss_D: -0.021517 Loss_G: 0.011671 Loss_D_real: -0.016567 Loss_D_fake 0.004950
[1566/5000][495/535][161680] Loss_D: -0.020273 Loss_G: -0.016922 Loss_D_real: -0.001376 Loss_D_fake 0.018897
[1566/5000][500/535][161681] Loss_D: -0.019798 Loss_G: 0.007974 Loss_D_real: -0.018753 Loss_D_fake 0.001045
[1566/5000][505/535][161682] Loss_D: -0.019461 Loss_G: 0.000981 Loss_D_real: 0.002250 Loss_D_fake 0.021711
[1566/5000][510/535][161683] Loss_D: -0.020279 Loss_G: -0.002413 Loss_D_real: -0.005762 Loss_D_fake 0.014517
[1566/5000][515/535][161684] Loss_D: -0.019960 Loss_G: 0.024505 Loss_D_real: -0.019656 Loss_D_fake 0.000303
[1566/5000][520/535][161685] Loss_D: -0.019477 Loss_G: -0.003178 Loss_D_real: -0.005826 Loss_D_fake 0.013651
[1566/5000][525/535][161686] Loss_D: -0.019855 Loss_G: 0.024988 Loss_D_real: -0.030599 Loss_D_fake -0.010745
[1566/5000][530/535][161687] Loss_D: -0.020572 Loss_G: -0.003428 Loss_D_real: -0.012074 Loss_D_fake 0.008498
[1566/5000][535/535][161688] Loss_D: -0.014247 Loss_G: -0.020140 Loss_D_real: -0.008303 Loss_D_fake 0.005944
[1567/5000][5/535][161689] Loss_D: -0.018805 Loss_G: 0.019260 Loss_D_real: -0.023570 Loss_D_fake -0.004765
[1567/5000][10/535][161690] Loss_D: -0.019500 Loss_G: 0.002314 Loss_D_real: -0.027524 Loss_D_fake -0.008025
[1567/5000][15/535][161691] Loss_D: -0.018432 Loss_G: 0.005771 Loss_D_real: -0.020447 Loss_D_fake -0.002015
[1567/5000][20/535][161692] Loss_D: -0.019104 Loss_G: -0.004142 Loss_D_real: 0.002033 Loss_D_fake 0.021136
[1567/5000][25/535][161693] Loss_D: -0.018199 Loss_G: 0.020873 Loss_D_real: -0.016205 Loss_D_fake 0.001994
[1567/5000][30/535][161694] Loss_D: -0.018469 Loss_G: 0.002905 Loss_D_real: -0.012898 Loss_D_fake 0.005571
[1567/5000][35/535][161695] Loss_D: -0.018332 Loss_G: -0.014865 Loss_D_real: -0.006531 Loss_D_fake 0.011801
[1567/5000][40/535][161696] Loss_D: -0.018749 Loss_G: 0.002705 Loss_D_real: -0.022102 Loss_D_fake -0.003353
[1567/5000][45/535][161697] Loss_D: -0.021592 Loss_G: 0.012830 Loss_D_real: -0.010032 Loss_D_fake 0.011560
[1567/5000][50/535][161698] Loss_D: -0.021879 Loss_G: 0.000267 Loss_D_real: -0.011938 Loss_D_fake 0.009941
[1567/5000][55/535][161699] Loss_D: -0.017854 Loss_G: 0.026236 Loss_D_real: -0.026544 Loss_D_fake -0.008691
[1567/5000][60/535][161700] Loss_D: -0.019528 Loss_G: 0.008048 Loss_D_real: -0.015466 Loss_D_fake 0.004062
[1567/5000][65/535][161701] Loss_D: -0.018847 Loss_G: 0.002539 Loss_D_real: -0.012100 Loss_D_fake 0.006747
[1567/5000][70/535][161702] Loss_D: -0.020274 Loss_G: 0.019321 Loss_D_real: -0.014824 Loss_D_fake 0.005450
[1567/5000][75/535][161703] Loss_D: -0.018967 Loss_G: 0.022471 Loss_D_real: -0.029463 Loss_D_fake -0.010496
[1567/5000][80/535][161704] Loss_D: -0.018772 Loss_G: 0.013564 Loss_D_real: -0.025413 Loss_D_fake -0.006641
[1567/5000][85/535][161705] Loss_D: -0.020159 Loss_G: 0.012059 Loss_D_real: -0.029161 Loss_D_fake -0.009002
[1567/5000][90/535][161706] Loss_D: -0.020004 Loss_G: 0.012295 Loss_D_real: -0.017105 Loss_D_fake 0.002899
[1567/5000][95/535][161707] Loss_D: -0.019288 Loss_G: -0.023090 Loss_D_real: -0.004865 Loss_D_fake 0.014424
[1567/5000][100/535][161708] Loss_D: -0.018894 Loss_G: 0.019519 Loss_D_real: -0.013121 Loss_D_fake 0.005773
[1567/5000][105/535][161709] Loss_D: -0.019128 Loss_G: 0.015392 Loss_D_real: -0.015335 Loss_D_fake 0.003792
[1567/5000][110/535][161710] Loss_D: -0.020667 Loss_G: 0.011824 Loss_D_real: -0.016104 Loss_D_fake 0.004563
[1567/5000][115/535][161711] Loss_D: -0.020916 Loss_G: -0.008400 Loss_D_real: -0.019858 Loss_D_fake 0.001058
[1567/5000][120/535][161712] Loss_D: -0.018775 Loss_G: 0.018519 Loss_D_real: -0.031368 Loss_D_fake -0.012593
[1567/5000][125/535][161713] Loss_D: -0.019309 Loss_G: 0.001629 Loss_D_real: -0.001400 Loss_D_fake 0.017910
[1567/5000][130/535][161714] Loss_D: -0.018869 Loss_G: 0.023010 Loss_D_real: -0.033199 Loss_D_fake -0.014330
[1567/5000][135/535][161715] Loss_D: -0.019079 Loss_G: -0.005965 Loss_D_real: -0.010567 Loss_D_fake 0.008512
[1567/5000][140/535][161716] Loss_D: -0.019343 Loss_G: 0.000584 Loss_D_real: -0.001580 Loss_D_fake 0.017763
[1567/5000][145/535][161717] Loss_D: -0.018585 Loss_G: 0.021178 Loss_D_real: -0.028357 Loss_D_fake -0.009773
[1567/5000][150/535][161718] Loss_D: -0.018942 Loss_G: -0.006062 Loss_D_real: -0.006501 Loss_D_fake 0.012441
[1567/5000][155/535][161719] Loss_D: -0.019922 Loss_G: -0.001821 Loss_D_real: -0.009634 Loss_D_fake 0.010287
[1567/5000][160/535][161720] Loss_D: -0.020082 Loss_G: 0.022090 Loss_D_real: -0.031417 Loss_D_fake -0.011335
[1567/5000][165/535][161721] Loss_D: -0.017558 Loss_G: 0.024019 Loss_D_real: -0.043283 Loss_D_fake -0.025725
[1567/5000][170/535][161722] Loss_D: -0.020193 Loss_G: 0.010505 Loss_D_real: -0.011298 Loss_D_fake 0.008895
[1567/5000][175/535][161723] Loss_D: -0.020169 Loss_G: 0.013233 Loss_D_real: -0.027749 Loss_D_fake -0.007580
[1567/5000][180/535][161724] Loss_D: -0.018673 Loss_G: 0.017370 Loss_D_real: -0.022848 Loss_D_fake -0.004175
[1567/5000][185/535][161725] Loss_D: -0.019451 Loss_G: -0.003232 Loss_D_real: -0.022695 Loss_D_fake -0.003244
[1567/5000][190/535][161726] Loss_D: -0.018953 Loss_G: -0.009830 Loss_D_real: -0.015221 Loss_D_fake 0.003731
[1567/5000][195/535][161727] Loss_D: -0.017602 Loss_G: 0.015589 Loss_D_real: -0.025184 Loss_D_fake -0.007583
[1567/5000][200/535][161728] Loss_D: -0.019132 Loss_G: 0.030265 Loss_D_real: -0.020991 Loss_D_fake -0.001858
[1567/5000][205/535][161729] Loss_D: -0.019109 Loss_G: 0.011267 Loss_D_real: -0.023203 Loss_D_fake -0.004095
[1567/5000][210/535][161730] Loss_D: -0.019888 Loss_G: 0.018849 Loss_D_real: -0.019446 Loss_D_fake 0.000442
[1567/5000][215/535][161731] Loss_D: -0.020554 Loss_G: 0.004036 Loss_D_real: -0.014210 Loss_D_fake 0.006344
[1567/5000][220/535][161732] Loss_D: -0.018647 Loss_G: 0.005737 Loss_D_real: -0.010105 Loss_D_fake 0.008543
[1567/5000][225/535][161733] Loss_D: -0.019018 Loss_G: 0.014793 Loss_D_real: -0.024972 Loss_D_fake -0.005955
[1567/5000][230/535][161734] Loss_D: -0.017271 Loss_G: 0.018180 Loss_D_real: -0.025242 Loss_D_fake -0.007971
[1567/5000][235/535][161735] Loss_D: -0.017605 Loss_G: 0.020825 Loss_D_real: -0.024987 Loss_D_fake -0.007382
[1567/5000][240/535][161736] Loss_D: -0.019482 Loss_G: 0.006695 Loss_D_real: -0.014773 Loss_D_fake 0.004708
[1567/5000][245/535][161737] Loss_D: -0.018956 Loss_G: 0.005044 Loss_D_real: -0.011063 Loss_D_fake 0.007893
[1567/5000][250/535][161738] Loss_D: -0.017491 Loss_G: 0.014400 Loss_D_real: -0.037015 Loss_D_fake -0.019524
[1567/5000][255/535][161739] Loss_D: -0.019028 Loss_G: -0.002787 Loss_D_real: -0.010407 Loss_D_fake 0.008621
[1567/5000][260/535][161740] Loss_D: -0.018160 Loss_G: 0.019309 Loss_D_real: -0.023718 Loss_D_fake -0.005558
[1567/5000][265/535][161741] Loss_D: -0.019400 Loss_G: 0.000493 Loss_D_real: -0.018427 Loss_D_fake 0.000972
[1567/5000][270/535][161742] Loss_D: -0.017952 Loss_G: 0.017109 Loss_D_real: -0.032635 Loss_D_fake -0.014684
[1567/5000][275/535][161743] Loss_D: -0.019303 Loss_G: 0.011324 Loss_D_real: -0.013913 Loss_D_fake 0.005390
[1567/5000][280/535][161744] Loss_D: -0.017500 Loss_G: 0.003187 Loss_D_real: -0.020996 Loss_D_fake -0.003496
[1567/5000][285/535][161745] Loss_D: -0.019527 Loss_G: 0.011619 Loss_D_real: -0.025178 Loss_D_fake -0.005651
[1567/5000][290/535][161746] Loss_D: -0.020578 Loss_G: 0.000636 Loss_D_real: -0.011471 Loss_D_fake 0.009107
[1567/5000][295/535][161747] Loss_D: -0.018881 Loss_G: 0.023346 Loss_D_real: -0.030202 Loss_D_fake -0.011321
[1567/5000][300/535][161748] Loss_D: -0.021928 Loss_G: 0.001599 Loss_D_real: -0.007562 Loss_D_fake 0.014365
[1567/5000][305/535][161749] Loss_D: -0.018910 Loss_G: 0.014163 Loss_D_real: -0.011472 Loss_D_fake 0.007439
[1567/5000][310/535][161750] Loss_D: -0.017462 Loss_G: -0.005644 Loss_D_real: -0.011202 Loss_D_fake 0.006260
[1567/5000][315/535][161751] Loss_D: -0.020325 Loss_G: 0.006495 Loss_D_real: -0.026695 Loss_D_fake -0.006370
[1567/5000][320/535][161752] Loss_D: -0.019748 Loss_G: 0.025009 Loss_D_real: -0.030479 Loss_D_fake -0.010731
[1567/5000][325/535][161753] Loss_D: -0.018917 Loss_G: 0.015907 Loss_D_real: -0.025822 Loss_D_fake -0.006906
[1567/5000][330/535][161754] Loss_D: -0.020921 Loss_G: 0.005379 Loss_D_real: -0.011932 Loss_D_fake 0.008989
[1567/5000][335/535][161755] Loss_D: -0.019084 Loss_G: -0.000863 Loss_D_real: -0.017289 Loss_D_fake 0.001796
[1567/5000][340/535][161756] Loss_D: -0.018848 Loss_G: 0.029564 Loss_D_real: -0.022972 Loss_D_fake -0.004124
[1567/5000][345/535][161757] Loss_D: -0.019612 Loss_G: -0.002362 Loss_D_real: -0.010264 Loss_D_fake 0.009347
[1567/5000][350/535][161758] Loss_D: -0.019215 Loss_G: -0.011342 Loss_D_real: -0.014721 Loss_D_fake 0.004494
[1567/5000][355/535][161759] Loss_D: -0.019533 Loss_G: 0.006125 Loss_D_real: -0.014218 Loss_D_fake 0.005316
[1567/5000][360/535][161760] Loss_D: -0.020853 Loss_G: 0.010687 Loss_D_real: -0.022917 Loss_D_fake -0.002064
[1567/5000][365/535][161761] Loss_D: -0.020322 Loss_G: 0.015587 Loss_D_real: -0.038494 Loss_D_fake -0.018172
[1567/5000][370/535][161762] Loss_D: -0.021062 Loss_G: 0.021806 Loss_D_real: -0.018595 Loss_D_fake 0.002467
[1567/5000][375/535][161763] Loss_D: -0.020142 Loss_G: 0.006999 Loss_D_real: -0.018092 Loss_D_fake 0.002050
[1567/5000][380/535][161764] Loss_D: -0.019108 Loss_G: 0.005215 Loss_D_real: -0.023995 Loss_D_fake -0.004886
[1567/5000][385/535][161765] Loss_D: -0.019025 Loss_G: -0.007103 Loss_D_real: -0.007096 Loss_D_fake 0.011929
[1567/5000][390/535][161766] Loss_D: -0.019987 Loss_G: 0.008338 Loss_D_real: -0.020756 Loss_D_fake -0.000769
[1567/5000][395/535][161767] Loss_D: -0.018112 Loss_G: 0.009786 Loss_D_real: -0.009855 Loss_D_fake 0.008257
[1567/5000][400/535][161768] Loss_D: -0.018518 Loss_G: -0.004196 Loss_D_real: -0.007083 Loss_D_fake 0.011435
[1567/5000][405/535][161769] Loss_D: -0.018909 Loss_G: -0.009787 Loss_D_real: -0.002509 Loss_D_fake 0.016400
[1567/5000][410/535][161770] Loss_D: -0.018285 Loss_G: 0.023309 Loss_D_real: -0.019971 Loss_D_fake -0.001686
[1567/5000][415/535][161771] Loss_D: -0.019033 Loss_G: 0.010625 Loss_D_real: -0.024572 Loss_D_fake -0.005539
[1567/5000][420/535][161772] Loss_D: -0.019695 Loss_G: 0.025998 Loss_D_real: -0.010970 Loss_D_fake 0.008726
[1567/5000][425/535][161773] Loss_D: -0.020071 Loss_G: -0.006058 Loss_D_real: -0.016754 Loss_D_fake 0.003317
[1567/5000][430/535][161774] Loss_D: -0.017812 Loss_G: -0.020356 Loss_D_real: -0.007246 Loss_D_fake 0.010565
[1567/5000][435/535][161775] Loss_D: -0.019772 Loss_G: 0.002417 Loss_D_real: -0.017276 Loss_D_fake 0.002496
[1567/5000][440/535][161776] Loss_D: -0.017697 Loss_G: -0.001452 Loss_D_real: 0.001197 Loss_D_fake 0.018894
[1567/5000][445/535][161777] Loss_D: -0.019830 Loss_G: 0.017276 Loss_D_real: -0.019330 Loss_D_fake 0.000500
[1567/5000][450/535][161778] Loss_D: -0.019005 Loss_G: -0.004052 Loss_D_real: -0.017886 Loss_D_fake 0.001119
[1567/5000][455/535][161779] Loss_D: -0.019894 Loss_G: 0.004768 Loss_D_real: -0.009101 Loss_D_fake 0.010793
[1567/5000][460/535][161780] Loss_D: -0.020111 Loss_G: 0.019059 Loss_D_real: -0.010647 Loss_D_fake 0.009463
[1567/5000][465/535][161781] Loss_D: -0.018452 Loss_G: -0.012533 Loss_D_real: -0.004607 Loss_D_fake 0.013845
[1567/5000][470/535][161782] Loss_D: -0.018924 Loss_G: -0.000693 Loss_D_real: 0.002994 Loss_D_fake 0.021918
[1567/5000][475/535][161783] Loss_D: -0.018452 Loss_G: 0.004875 Loss_D_real: -0.017592 Loss_D_fake 0.000861
[1567/5000][480/535][161784] Loss_D: -0.019362 Loss_G: 0.009197 Loss_D_real: -0.015262 Loss_D_fake 0.004100
[1567/5000][485/535][161785] Loss_D: -0.020464 Loss_G: -0.017806 Loss_D_real: -0.002871 Loss_D_fake 0.017593
[1567/5000][490/535][161786] Loss_D: -0.017643 Loss_G: 0.026639 Loss_D_real: -0.030594 Loss_D_fake -0.012951
[1567/5000][495/535][161787] Loss_D: -0.019493 Loss_G: 0.004353 Loss_D_real: -0.024020 Loss_D_fake -0.004527
[1567/5000][500/535][161788] Loss_D: -0.019264 Loss_G: 0.011583 Loss_D_real: -0.021608 Loss_D_fake -0.002343
[1567/5000][505/535][161789] Loss_D: -0.019367 Loss_G: 0.013121 Loss_D_real: -0.026006 Loss_D_fake -0.006639
[1567/5000][510/535][161790] Loss_D: -0.019863 Loss_G: 0.003212 Loss_D_real: -0.008939 Loss_D_fake 0.010924
[1567/5000][515/535][161791] Loss_D: -0.019782 Loss_G: 0.003553 Loss_D_real: -0.026583 Loss_D_fake -0.006800
[1567/5000][520/535][161792] Loss_D: -0.019676 Loss_G: 0.012998 Loss_D_real: -0.016599 Loss_D_fake 0.003078
[1567/5000][525/535][161793] Loss_D: -0.019816 Loss_G: 0.019502 Loss_D_real: -0.021258 Loss_D_fake -0.001441
[1567/5000][530/535][161794] Loss_D: -0.019152 Loss_G: 0.004584 Loss_D_real: -0.015448 Loss_D_fake 0.003704
[1567/5000][535/535][161795] Loss_D: -0.018714 Loss_G: 0.009144 Loss_D_real: -0.014163 Loss_D_fake 0.004551
[1568/5000][5/535][161796] Loss_D: -0.019598 Loss_G: 0.000171 Loss_D_real: -0.026690 Loss_D_fake -0.007092
[1568/5000][10/535][161797] Loss_D: -0.019112 Loss_G: 0.012732 Loss_D_real: -0.029248 Loss_D_fake -0.010136
[1568/5000][15/535][161798] Loss_D: -0.020788 Loss_G: -0.004034 Loss_D_real: -0.007058 Loss_D_fake 0.013730
[1568/5000][20/535][161799] Loss_D: -0.019779 Loss_G: 0.001188 Loss_D_real: -0.016114 Loss_D_fake 0.003665
[1568/5000][25/535][161800] Loss_D: -0.020142 Loss_G: 0.015503 Loss_D_real: -0.019315 Loss_D_fake 0.000827
[1568/5000][30/535][161801] Loss_D: -0.019471 Loss_G: 0.031249 Loss_D_real: -0.027437 Loss_D_fake -0.007967
[1568/5000][35/535][161802] Loss_D: -0.019769 Loss_G: 0.003879 Loss_D_real: -0.011995 Loss_D_fake 0.007774
[1568/5000][40/535][161803] Loss_D: -0.020313 Loss_G: 0.003270 Loss_D_real: -0.015399 Loss_D_fake 0.004914
[1568/5000][45/535][161804] Loss_D: -0.019342 Loss_G: 0.013702 Loss_D_real: -0.017090 Loss_D_fake 0.002251
[1568/5000][50/535][161805] Loss_D: -0.019520 Loss_G: -0.006707 Loss_D_real: -0.011168 Loss_D_fake 0.008353
[1568/5000][55/535][161806] Loss_D: -0.019941 Loss_G: 0.010289 Loss_D_real: -0.022441 Loss_D_fake -0.002500
[1568/5000][60/535][161807] Loss_D: -0.019814 Loss_G: 0.007950 Loss_D_real: -0.026464 Loss_D_fake -0.006650
[1568/5000][65/535][161808] Loss_D: -0.020484 Loss_G: 0.001578 Loss_D_real: -0.017074 Loss_D_fake 0.003411
[1568/5000][70/535][161809] Loss_D: -0.020570 Loss_G: -0.001286 Loss_D_real: -0.018829 Loss_D_fake 0.001742
[1568/5000][75/535][161810] Loss_D: -0.020086 Loss_G: 0.001679 Loss_D_real: -0.019001 Loss_D_fake 0.001085
[1568/5000][80/535][161811] Loss_D: -0.017714 Loss_G: -0.014458 Loss_D_real: 0.000606 Loss_D_fake 0.018320
[1568/5000][85/535][161812] Loss_D: -0.018107 Loss_G: -0.005920 Loss_D_real: -0.016090 Loss_D_fake 0.002017
[1568/5000][90/535][161813] Loss_D: -0.020070 Loss_G: 0.003864 Loss_D_real: -0.018100 Loss_D_fake 0.001969
[1568/5000][95/535][161814] Loss_D: -0.018722 Loss_G: -0.006809 Loss_D_real: -0.006329 Loss_D_fake 0.012392
[1568/5000][100/535][161815] Loss_D: -0.019686 Loss_G: 0.005822 Loss_D_real: -0.018385 Loss_D_fake 0.001301
[1568/5000][105/535][161816] Loss_D: -0.020108 Loss_G: -0.003132 Loss_D_real: -0.011514 Loss_D_fake 0.008594
[1568/5000][110/535][161817] Loss_D: -0.018866 Loss_G: -0.013493 Loss_D_real: 0.000424 Loss_D_fake 0.019290
[1568/5000][115/535][161818] Loss_D: -0.021070 Loss_G: 0.012113 Loss_D_real: -0.002831 Loss_D_fake 0.018239
[1568/5000][120/535][161819] Loss_D: -0.019415 Loss_G: 0.009744 Loss_D_real: -0.009632 Loss_D_fake 0.009784
[1568/5000][125/535][161820] Loss_D: -0.019819 Loss_G: 0.002947 Loss_D_real: -0.027533 Loss_D_fake -0.007714
[1568/5000][130/535][161821] Loss_D: -0.019545 Loss_G: 0.017096 Loss_D_real: -0.018848 Loss_D_fake 0.000697
[1568/5000][135/535][161822] Loss_D: -0.018594 Loss_G: 0.001683 Loss_D_real: -0.023022 Loss_D_fake -0.004428
[1568/5000][140/535][161823] Loss_D: -0.019660 Loss_G: 0.012193 Loss_D_real: -0.021970 Loss_D_fake -0.002310
[1568/5000][145/535][161824] Loss_D: -0.019817 Loss_G: 0.020860 Loss_D_real: -0.029253 Loss_D_fake -0.009436
[1568/5000][150/535][161825] Loss_D: -0.019437 Loss_G: 0.025290 Loss_D_real: -0.018388 Loss_D_fake 0.001048
[1568/5000][155/535][161826] Loss_D: -0.018849 Loss_G: 0.003253 Loss_D_real: -0.014552 Loss_D_fake 0.004296
[1568/5000][160/535][161827] Loss_D: -0.017417 Loss_G: 0.013824 Loss_D_real: -0.031887 Loss_D_fake -0.014470
[1568/5000][165/535][161828] Loss_D: -0.020354 Loss_G: -0.010330 Loss_D_real: -0.005865 Loss_D_fake 0.014489
[1568/5000][170/535][161829] Loss_D: -0.019760 Loss_G: 0.020829 Loss_D_real: -0.030743 Loss_D_fake -0.010983
[1568/5000][175/535][161830] Loss_D: -0.021179 Loss_G: 0.000533 Loss_D_real: -0.018956 Loss_D_fake 0.002223
[1568/5000][180/535][161831] Loss_D: -0.019967 Loss_G: 0.017532 Loss_D_real: -0.026493 Loss_D_fake -0.006526
[1568/5000][185/535][161832] Loss_D: -0.020434 Loss_G: -0.005593 Loss_D_real: -0.013893 Loss_D_fake 0.006541
[1568/5000][190/535][161833] Loss_D: -0.019409 Loss_G: 0.014980 Loss_D_real: -0.020268 Loss_D_fake -0.000859
[1568/5000][195/535][161834] Loss_D: -0.020066 Loss_G: 0.009425 Loss_D_real: -0.013014 Loss_D_fake 0.007052
[1568/5000][200/535][161835] Loss_D: -0.019547 Loss_G: 0.019749 Loss_D_real: -0.028003 Loss_D_fake -0.008456
[1568/5000][205/535][161836] Loss_D: -0.020803 Loss_G: 0.008179 Loss_D_real: -0.018236 Loss_D_fake 0.002567
[1568/5000][210/535][161837] Loss_D: -0.018750 Loss_G: -0.007221 Loss_D_real: -0.004814 Loss_D_fake 0.013936
[1568/5000][215/535][161838] Loss_D: -0.019126 Loss_G: 0.007672 Loss_D_real: -0.021814 Loss_D_fake -0.002688
[1568/5000][220/535][161839] Loss_D: -0.018058 Loss_G: 0.008443 Loss_D_real: -0.018079 Loss_D_fake -0.000021
[1568/5000][225/535][161840] Loss_D: -0.018275 Loss_G: 0.023661 Loss_D_real: -0.024629 Loss_D_fake -0.006354
[1568/5000][230/535][161841] Loss_D: -0.019998 Loss_G: -0.005352 Loss_D_real: -0.017233 Loss_D_fake 0.002765
[1568/5000][235/535][161842] Loss_D: -0.019095 Loss_G: 0.023035 Loss_D_real: -0.035310 Loss_D_fake -0.016215
[1568/5000][240/535][161843] Loss_D: -0.019380 Loss_G: 0.009510 Loss_D_real: -0.016927 Loss_D_fake 0.002453
[1568/5000][245/535][161844] Loss_D: -0.019361 Loss_G: 0.003158 Loss_D_real: 0.002180 Loss_D_fake 0.021541
[1568/5000][250/535][161845] Loss_D: -0.019650 Loss_G: 0.010454 Loss_D_real: -0.028296 Loss_D_fake -0.008647
[1568/5000][255/535][161846] Loss_D: -0.019502 Loss_G: 0.018316 Loss_D_real: -0.018387 Loss_D_fake 0.001115
[1568/5000][260/535][161847] Loss_D: -0.019628 Loss_G: 0.013188 Loss_D_real: -0.017548 Loss_D_fake 0.002080
[1568/5000][265/535][161848] Loss_D: -0.019575 Loss_G: 0.011023 Loss_D_real: -0.023808 Loss_D_fake -0.004233
[1568/5000][270/535][161849] Loss_D: -0.019416 Loss_G: 0.018687 Loss_D_real: -0.021187 Loss_D_fake -0.001771
[1568/5000][275/535][161850] Loss_D: -0.020359 Loss_G: -0.006119 Loss_D_real: -0.024527 Loss_D_fake -0.004169
[1568/5000][280/535][161851] Loss_D: -0.019447 Loss_G: -0.003832 Loss_D_real: -0.011653 Loss_D_fake 0.007794
[1568/5000][285/535][161852] Loss_D: -0.020116 Loss_G: 0.006393 Loss_D_real: -0.025670 Loss_D_fake -0.005554
[1568/5000][290/535][161853] Loss_D: -0.019383 Loss_G: -0.005370 Loss_D_real: 0.002149 Loss_D_fake 0.021532
[1568/5000][295/535][161854] Loss_D: -0.020473 Loss_G: 0.015244 Loss_D_real: -0.026689 Loss_D_fake -0.006216
[1568/5000][300/535][161855] Loss_D: -0.019624 Loss_G: 0.022849 Loss_D_real: -0.031632 Loss_D_fake -0.012007
[1568/5000][305/535][161856] Loss_D: -0.019220 Loss_G: -0.008124 Loss_D_real: -0.014608 Loss_D_fake 0.004613
[1568/5000][310/535][161857] Loss_D: -0.019857 Loss_G: 0.019657 Loss_D_real: -0.021737 Loss_D_fake -0.001880
[1568/5000][315/535][161858] Loss_D: -0.018350 Loss_G: 0.003376 Loss_D_real: -0.007446 Loss_D_fake 0.010904
[1568/5000][320/535][161859] Loss_D: -0.020486 Loss_G: 0.028442 Loss_D_real: -0.009177 Loss_D_fake 0.011308
[1568/5000][325/535][161860] Loss_D: -0.019648 Loss_G: -0.003875 Loss_D_real: -0.021445 Loss_D_fake -0.001797
[1568/5000][330/535][161861] Loss_D: -0.018442 Loss_G: 0.021877 Loss_D_real: -0.026152 Loss_D_fake -0.007709
[1568/5000][335/535][161862] Loss_D: -0.018801 Loss_G: 0.024002 Loss_D_real: -0.022578 Loss_D_fake -0.003777
[1568/5000][340/535][161863] Loss_D: -0.018858 Loss_G: 0.006537 Loss_D_real: -0.014310 Loss_D_fake 0.004548
[1568/5000][345/535][161864] Loss_D: -0.018473 Loss_G: 0.007637 Loss_D_real: -0.024709 Loss_D_fake -0.006236
[1568/5000][350/535][161865] Loss_D: -0.020390 Loss_G: 0.005932 Loss_D_real: -0.019099 Loss_D_fake 0.001291
[1568/5000][355/535][161866] Loss_D: -0.018995 Loss_G: -0.004149 Loss_D_real: -0.015919 Loss_D_fake 0.003076
[1568/5000][360/535][161867] Loss_D: -0.019549 Loss_G: -0.000330 Loss_D_real: -0.000184 Loss_D_fake 0.019365
[1568/5000][365/535][161868] Loss_D: -0.019811 Loss_G: -0.012107 Loss_D_real: -0.007000 Loss_D_fake 0.012811
[1568/5000][370/535][161869] Loss_D: -0.020366 Loss_G: 0.009806 Loss_D_real: -0.010494 Loss_D_fake 0.009872
[1568/5000][375/535][161870] Loss_D: -0.018228 Loss_G: 0.019090 Loss_D_real: -0.033213 Loss_D_fake -0.014985
[1568/5000][380/535][161871] Loss_D: -0.018911 Loss_G: 0.017938 Loss_D_real: -0.028216 Loss_D_fake -0.009305
[1568/5000][385/535][161872] Loss_D: -0.019938 Loss_G: -0.001294 Loss_D_real: -0.015896 Loss_D_fake 0.004042
[1568/5000][390/535][161873] Loss_D: -0.020295 Loss_G: 0.010068 Loss_D_real: -0.023405 Loss_D_fake -0.003110
[1568/5000][395/535][161874] Loss_D: -0.018849 Loss_G: 0.002979 Loss_D_real: 0.001542 Loss_D_fake 0.020391
[1568/5000][400/535][161875] Loss_D: -0.020242 Loss_G: 0.012697 Loss_D_real: -0.010785 Loss_D_fake 0.009457
[1568/5000][405/535][161876] Loss_D: -0.017499 Loss_G: 0.024657 Loss_D_real: -0.031198 Loss_D_fake -0.013700
[1568/5000][410/535][161877] Loss_D: -0.018557 Loss_G: -0.004736 Loss_D_real: 0.000190 Loss_D_fake 0.018747
[1568/5000][415/535][161878] Loss_D: -0.018586 Loss_G: -0.002182 Loss_D_real: -0.006248 Loss_D_fake 0.012338
[1568/5000][420/535][161879] Loss_D: -0.018131 Loss_G: -0.004973 Loss_D_real: -0.006956 Loss_D_fake 0.011175
[1568/5000][425/535][161880] Loss_D: -0.019165 Loss_G: 0.019272 Loss_D_real: -0.020885 Loss_D_fake -0.001720
[1568/5000][430/535][161881] Loss_D: -0.018895 Loss_G: 0.012572 Loss_D_real: -0.019568 Loss_D_fake -0.000673
[1568/5000][435/535][161882] Loss_D: -0.019733 Loss_G: 0.023286 Loss_D_real: -0.029215 Loss_D_fake -0.009482
[1568/5000][440/535][161883] Loss_D: -0.019136 Loss_G: 0.024350 Loss_D_real: -0.021996 Loss_D_fake -0.002860
[1568/5000][445/535][161884] Loss_D: -0.020874 Loss_G: -0.008164 Loss_D_real: -0.017584 Loss_D_fake 0.003290
[1568/5000][450/535][161885] Loss_D: -0.018543 Loss_G: 0.007952 Loss_D_real: -0.012623 Loss_D_fake 0.005920
[1568/5000][455/535][161886] Loss_D: -0.018606 Loss_G: -0.019275 Loss_D_real: -0.009044 Loss_D_fake 0.009562
[1568/5000][460/535][161887] Loss_D: -0.020073 Loss_G: -0.006160 Loss_D_real: -0.006364 Loss_D_fake 0.013710
[1568/5000][465/535][161888] Loss_D: -0.019646 Loss_G: 0.015562 Loss_D_real: -0.007712 Loss_D_fake 0.011934
[1568/5000][470/535][161889] Loss_D: -0.020899 Loss_G: 0.019054 Loss_D_real: -0.011218 Loss_D_fake 0.009681
[1568/5000][475/535][161890] Loss_D: -0.019654 Loss_G: -0.005733 Loss_D_real: -0.012825 Loss_D_fake 0.006829
[1568/5000][480/535][161891] Loss_D: -0.019789 Loss_G: -0.003727 Loss_D_real: -0.005948 Loss_D_fake 0.013842
[1568/5000][485/535][161892] Loss_D: -0.019237 Loss_G: 0.012962 Loss_D_real: -0.023035 Loss_D_fake -0.003798
[1568/5000][490/535][161893] Loss_D: -0.018658 Loss_G: -0.002583 Loss_D_real: -0.013469 Loss_D_fake 0.005190
[1568/5000][495/535][161894] Loss_D: -0.019187 Loss_G: 0.017524 Loss_D_real: -0.019665 Loss_D_fake -0.000478
[1568/5000][500/535][161895] Loss_D: -0.018736 Loss_G: 0.009540 Loss_D_real: -0.005939 Loss_D_fake 0.012797
[1568/5000][505/535][161896] Loss_D: -0.018324 Loss_G: 0.011396 Loss_D_real: -0.012040 Loss_D_fake 0.006284
[1568/5000][510/535][161897] Loss_D: -0.019582 Loss_G: 0.004762 Loss_D_real: -0.003912 Loss_D_fake 0.015670
[1568/5000][515/535][161898] Loss_D: -0.019401 Loss_G: 0.016828 Loss_D_real: -0.027297 Loss_D_fake -0.007896
[1568/5000][520/535][161899] Loss_D: -0.020080 Loss_G: 0.005693 Loss_D_real: -0.015813 Loss_D_fake 0.004267
[1568/5000][525/535][161900] Loss_D: -0.019773 Loss_G: 0.012591 Loss_D_real: -0.018275 Loss_D_fake 0.001498
[1568/5000][530/535][161901] Loss_D: -0.019453 Loss_G: 0.001350 Loss_D_real: -0.024652 Loss_D_fake -0.005199
[1568/5000][535/535][161902] Loss_D: -0.022406 Loss_G: -0.022341 Loss_D_real: -0.010124 Loss_D_fake 0.012281
[1569/5000][5/535][161903] Loss_D: -0.019973 Loss_G: 0.009056 Loss_D_real: 0.000032 Loss_D_fake 0.020005
[1569/5000][10/535][161904] Loss_D: -0.019920 Loss_G: 0.001751 Loss_D_real: -0.009378 Loss_D_fake 0.010542
[1569/5000][15/535][161905] Loss_D: -0.018360 Loss_G: 0.000184 Loss_D_real: -0.017219 Loss_D_fake 0.001142
[1569/5000][20/535][161906] Loss_D: -0.019589 Loss_G: -0.002599 Loss_D_real: 0.000615 Loss_D_fake 0.020204
[1569/5000][25/535][161907] Loss_D: -0.020366 Loss_G: 0.010070 Loss_D_real: -0.023547 Loss_D_fake -0.003182
[1569/5000][30/535][161908] Loss_D: -0.018110 Loss_G: 0.033688 Loss_D_real: -0.028946 Loss_D_fake -0.010836
[1569/5000][35/535][161909] Loss_D: -0.018257 Loss_G: 0.028927 Loss_D_real: -0.035677 Loss_D_fake -0.017420
[1569/5000][40/535][161910] Loss_D: -0.020490 Loss_G: -0.010435 Loss_D_real: -0.010533 Loss_D_fake 0.009957
[1569/5000][45/535][161911] Loss_D: -0.019383 Loss_G: 0.002391 Loss_D_real: -0.016626 Loss_D_fake 0.002757
[1569/5000][50/535][161912] Loss_D: -0.018362 Loss_G: -0.018192 Loss_D_real: -0.000455 Loss_D_fake 0.017907
[1569/5000][55/535][161913] Loss_D: -0.018992 Loss_G: 0.007465 Loss_D_real: -0.024448 Loss_D_fake -0.005455
[1569/5000][60/535][161914] Loss_D: -0.020182 Loss_G: 0.012929 Loss_D_real: -0.007893 Loss_D_fake 0.012289
[1569/5000][65/535][161915] Loss_D: -0.019866 Loss_G: 0.011824 Loss_D_real: -0.019290 Loss_D_fake 0.000575
[1569/5000][70/535][161916] Loss_D: -0.020339 Loss_G: 0.004305 Loss_D_real: -0.019559 Loss_D_fake 0.000780
[1569/5000][75/535][161917] Loss_D: -0.019533 Loss_G: 0.007615 Loss_D_real: -0.007538 Loss_D_fake 0.011995
[1569/5000][80/535][161918] Loss_D: -0.018072 Loss_G: 0.027780 Loss_D_real: -0.028647 Loss_D_fake -0.010574
[1569/5000][85/535][161919] Loss_D: -0.019945 Loss_G: 0.002989 Loss_D_real: -0.011623 Loss_D_fake 0.008323
[1569/5000][90/535][161920] Loss_D: -0.019038 Loss_G: 0.005843 Loss_D_real: -0.021460 Loss_D_fake -0.002422
[1569/5000][95/535][161921] Loss_D: -0.019002 Loss_G: 0.014907 Loss_D_real: -0.014941 Loss_D_fake 0.004061
[1569/5000][100/535][161922] Loss_D: -0.018487 Loss_G: 0.017133 Loss_D_real: -0.011308 Loss_D_fake 0.007178
[1569/5000][105/535][161923] Loss_D: -0.019544 Loss_G: -0.010911 Loss_D_real: -0.010304 Loss_D_fake 0.009240
[1569/5000][110/535][161924] Loss_D: -0.019087 Loss_G: 0.004592 Loss_D_real: -0.011591 Loss_D_fake 0.007497
[1569/5000][115/535][161925] Loss_D: -0.018881 Loss_G: 0.009906 Loss_D_real: -0.028270 Loss_D_fake -0.009389
[1569/5000][120/535][161926] Loss_D: -0.018047 Loss_G: 0.015168 Loss_D_real: -0.026232 Loss_D_fake -0.008185
[1569/5000][125/535][161927] Loss_D: -0.019478 Loss_G: -0.001156 Loss_D_real: -0.021304 Loss_D_fake -0.001826
[1569/5000][130/535][161928] Loss_D: -0.018772 Loss_G: 0.019007 Loss_D_real: -0.021843 Loss_D_fake -0.003071
[1569/5000][135/535][161929] Loss_D: -0.018066 Loss_G: 0.014301 Loss_D_real: -0.024693 Loss_D_fake -0.006627
[1569/5000][140/535][161930] Loss_D: -0.019347 Loss_G: 0.011385 Loss_D_real: -0.023715 Loss_D_fake -0.004368
[1569/5000][145/535][161931] Loss_D: -0.020115 Loss_G: 0.006533 Loss_D_real: -0.020695 Loss_D_fake -0.000581
[1569/5000][150/535][161932] Loss_D: -0.018672 Loss_G: 0.014623 Loss_D_real: -0.020276 Loss_D_fake -0.001604
[1569/5000][155/535][161933] Loss_D: -0.019618 Loss_G: 0.012634 Loss_D_real: -0.013354 Loss_D_fake 0.006264
[1569/5000][160/535][161934] Loss_D: -0.018832 Loss_G: -0.010236 Loss_D_real: 0.000768 Loss_D_fake 0.019601
[1569/5000][165/535][161935] Loss_D: -0.019556 Loss_G: 0.006281 Loss_D_real: -0.030431 Loss_D_fake -0.010876
[1569/5000][170/535][161936] Loss_D: -0.019549 Loss_G: 0.012597 Loss_D_real: -0.023098 Loss_D_fake -0.003549
[1569/5000][175/535][161937] Loss_D: -0.018923 Loss_G: -0.006063 Loss_D_real: -0.012859 Loss_D_fake 0.006063
[1569/5000][180/535][161938] Loss_D: -0.019183 Loss_G: 0.012397 Loss_D_real: -0.031803 Loss_D_fake -0.012620
[1569/5000][185/535][161939] Loss_D: -0.018572 Loss_G: 0.000140 Loss_D_real: -0.000901 Loss_D_fake 0.017671
[1569/5000][190/535][161940] Loss_D: -0.021129 Loss_G: 0.008539 Loss_D_real: -0.005630 Loss_D_fake 0.015499
[1569/5000][195/535][161941] Loss_D: -0.020283 Loss_G: 0.013335 Loss_D_real: -0.024272 Loss_D_fake -0.003989
[1569/5000][200/535][161942] Loss_D: -0.021266 Loss_G: 0.004915 Loss_D_real: -0.014568 Loss_D_fake 0.006698
[1569/5000][205/535][161943] Loss_D: -0.018564 Loss_G: -0.006989 Loss_D_real: -0.006743 Loss_D_fake 0.011821
[1569/5000][210/535][161944] Loss_D: -0.018710 Loss_G: 0.019155 Loss_D_real: -0.018093 Loss_D_fake 0.000617
[1569/5000][215/535][161945] Loss_D: -0.019923 Loss_G: -0.002262 Loss_D_real: -0.024477 Loss_D_fake -0.004553
[1569/5000][220/535][161946] Loss_D: -0.019095 Loss_G: 0.017598 Loss_D_real: -0.020795 Loss_D_fake -0.001700
[1569/5000][225/535][161947] Loss_D: -0.016210 Loss_G: 0.015155 Loss_D_real: -0.038677 Loss_D_fake -0.022467
[1569/5000][230/535][161948] Loss_D: -0.019833 Loss_G: 0.000393 Loss_D_real: 0.002590 Loss_D_fake 0.022424
[1569/5000][235/535][161949] Loss_D: -0.016515 Loss_G: 0.015695 Loss_D_real: -0.037939 Loss_D_fake -0.021424
[1569/5000][240/535][161950] Loss_D: -0.019301 Loss_G: 0.011921 Loss_D_real: -0.019450 Loss_D_fake -0.000148
[1569/5000][245/535][161951] Loss_D: -0.018928 Loss_G: 0.014682 Loss_D_real: -0.012204 Loss_D_fake 0.006724
[1569/5000][250/535][161952] Loss_D: -0.019781 Loss_G: 0.019552 Loss_D_real: -0.017897 Loss_D_fake 0.001884
[1569/5000][255/535][161953] Loss_D: -0.018656 Loss_G: 0.011241 Loss_D_real: -0.017481 Loss_D_fake 0.001175
[1569/5000][260/535][161954] Loss_D: -0.019768 Loss_G: 0.008561 Loss_D_real: -0.019033 Loss_D_fake 0.000735
[1569/5000][265/535][161955] Loss_D: -0.019163 Loss_G: 0.010319 Loss_D_real: -0.020619 Loss_D_fake -0.001456
[1569/5000][270/535][161956] Loss_D: -0.019944 Loss_G: -0.000431 Loss_D_real: -0.025414 Loss_D_fake -0.005471
[1569/5000][275/535][161957] Loss_D: -0.018774 Loss_G: 0.001319 Loss_D_real: -0.014688 Loss_D_fake 0.004085
[1569/5000][280/535][161958] Loss_D: -0.019892 Loss_G: 0.012660 Loss_D_real: -0.015538 Loss_D_fake 0.004354
[1569/5000][285/535][161959] Loss_D: -0.019131 Loss_G: 0.001890 Loss_D_real: -0.015663 Loss_D_fake 0.003468
[1569/5000][290/535][161960] Loss_D: -0.018843 Loss_G: -0.005263 Loss_D_real: 0.001030 Loss_D_fake 0.019873
[1569/5000][295/535][161961] Loss_D: -0.018179 Loss_G: 0.031263 Loss_D_real: -0.026248 Loss_D_fake -0.008070
[1569/5000][300/535][161962] Loss_D: -0.018590 Loss_G: -0.006377 Loss_D_real: -0.012904 Loss_D_fake 0.005686
[1569/5000][305/535][161963] Loss_D: -0.018249 Loss_G: 0.017551 Loss_D_real: -0.021800 Loss_D_fake -0.003551
[1569/5000][310/535][161964] Loss_D: -0.018969 Loss_G: 0.009536 Loss_D_real: -0.015316 Loss_D_fake 0.003653
[1569/5000][315/535][161965] Loss_D: -0.018498 Loss_G: 0.019849 Loss_D_real: -0.034316 Loss_D_fake -0.015818
[1569/5000][320/535][161966] Loss_D: -0.018530 Loss_G: -0.007637 Loss_D_real: 0.004418 Loss_D_fake 0.022948
[1569/5000][325/535][161967] Loss_D: -0.018473 Loss_G: 0.005175 Loss_D_real: -0.017279 Loss_D_fake 0.001195
[1569/5000][330/535][161968] Loss_D: -0.019438 Loss_G: -0.004688 Loss_D_real: -0.010860 Loss_D_fake 0.008579
[1569/5000][335/535][161969] Loss_D: -0.018801 Loss_G: 0.019513 Loss_D_real: -0.022814 Loss_D_fake -0.004013
[1569/5000][340/535][161970] Loss_D: -0.019096 Loss_G: 0.010089 Loss_D_real: -0.019587 Loss_D_fake -0.000491
[1569/5000][345/535][161971] Loss_D: -0.017899 Loss_G: 0.021519 Loss_D_real: -0.030253 Loss_D_fake -0.012354
[1569/5000][350/535][161972] Loss_D: -0.018985 Loss_G: 0.017666 Loss_D_real: -0.034554 Loss_D_fake -0.015569
[1569/5000][355/535][161973] Loss_D: -0.019428 Loss_G: 0.002299 Loss_D_real: -0.021158 Loss_D_fake -0.001729
[1569/5000][360/535][161974] Loss_D: -0.018113 Loss_G: -0.013804 Loss_D_real: 0.000682 Loss_D_fake 0.018795
[1569/5000][365/535][161975] Loss_D: -0.018843 Loss_G: -0.011819 Loss_D_real: -0.025397 Loss_D_fake -0.006554
[1569/5000][370/535][161976] Loss_D: -0.019638 Loss_G: 0.006764 Loss_D_real: -0.018396 Loss_D_fake 0.001242
[1569/5000][375/535][161977] Loss_D: -0.017284 Loss_G: -0.014687 Loss_D_real: -0.003493 Loss_D_fake 0.013790
[1569/5000][380/535][161978] Loss_D: -0.020110 Loss_G: 0.006245 Loss_D_real: -0.023815 Loss_D_fake -0.003705
[1569/5000][385/535][161979] Loss_D: -0.018549 Loss_G: 0.017222 Loss_D_real: -0.014591 Loss_D_fake 0.003957
[1569/5000][390/535][161980] Loss_D: -0.018853 Loss_G: 0.003692 Loss_D_real: -0.012038 Loss_D_fake 0.006815
[1569/5000][395/535][161981] Loss_D: -0.019156 Loss_G: 0.000671 Loss_D_real: -0.011919 Loss_D_fake 0.007237
[1569/5000][400/535][161982] Loss_D: -0.020091 Loss_G: 0.026733 Loss_D_real: -0.016710 Loss_D_fake 0.003381
[1569/5000][405/535][161983] Loss_D: -0.020409 Loss_G: 0.006106 Loss_D_real: -0.020775 Loss_D_fake -0.000366
[1569/5000][410/535][161984] Loss_D: -0.019322 Loss_G: -0.006059 Loss_D_real: -0.005954 Loss_D_fake 0.013368
[1569/5000][415/535][161985] Loss_D: -0.019001 Loss_G: -0.017832 Loss_D_real: -0.007515 Loss_D_fake 0.011486
[1569/5000][420/535][161986] Loss_D: -0.018548 Loss_G: 0.031708 Loss_D_real: -0.027389 Loss_D_fake -0.008841
[1569/5000][425/535][161987] Loss_D: -0.019117 Loss_G: 0.014412 Loss_D_real: -0.030296 Loss_D_fake -0.011179
[1569/5000][430/535][161988] Loss_D: -0.017752 Loss_G: 0.027009 Loss_D_real: -0.032743 Loss_D_fake -0.014991
[1569/5000][435/535][161989] Loss_D: -0.018356 Loss_G: 0.016375 Loss_D_real: -0.033523 Loss_D_fake -0.015167
[1569/5000][440/535][161990] Loss_D: -0.018440 Loss_G: 0.023110 Loss_D_real: -0.020285 Loss_D_fake -0.001846
[1569/5000][445/535][161991] Loss_D: -0.019522 Loss_G: 0.006885 Loss_D_real: -0.030713 Loss_D_fake -0.011191
[1569/5000][450/535][161992] Loss_D: -0.021356 Loss_G: -0.012678 Loss_D_real: -0.011284 Loss_D_fake 0.010072
[1569/5000][455/535][161993] Loss_D: -0.019481 Loss_G: 0.022925 Loss_D_real: -0.017480 Loss_D_fake 0.002001
[1569/5000][460/535][161994] Loss_D: -0.020762 Loss_G: 0.003030 Loss_D_real: -0.016646 Loss_D_fake 0.004116
[1569/5000][465/535][161995] Loss_D: -0.020569 Loss_G: -0.002430 Loss_D_real: -0.012315 Loss_D_fake 0.008255
[1569/5000][470/535][161996] Loss_D: -0.019730 Loss_G: -0.004093 Loss_D_real: -0.008004 Loss_D_fake 0.011726
[1569/5000][475/535][161997] Loss_D: -0.019430 Loss_G: 0.014907 Loss_D_real: -0.023344 Loss_D_fake -0.003914
[1569/5000][480/535][161998] Loss_D: -0.020080 Loss_G: 0.000337 Loss_D_real: -0.006667 Loss_D_fake 0.013413
[1569/5000][485/535][161999] Loss_D: -0.020270 Loss_G: 0.004577 Loss_D_real: -0.009262 Loss_D_fake 0.011007
[1569/5000][490/535][162000] Loss_D: -0.019206 Loss_G: 0.007024 Loss_D_real: -0.010187 Loss_D_fake 0.009019
[1569/5000][535/535][162001] Loss_D: -0.021491 Loss_G: 0.002637 Loss_D_real: -0.010707 Loss_D_fake 0.010784
[1570/5000][5/535][162002] Loss_D: -0.021158 Loss_G: 0.026002 Loss_D_real: -0.024870 Loss_D_fake -0.003711
[1570/5000][10/535][162003] Loss_D: -0.018917 Loss_G: 0.000755 Loss_D_real: -0.020424 Loss_D_fake -0.001507
[1570/5000][15/535][162004] Loss_D: -0.018372 Loss_G: 0.017052 Loss_D_real: -0.015309 Loss_D_fake 0.003063
[1570/5000][20/535][162005] Loss_D: -0.020003 Loss_G: 0.013217 Loss_D_real: -0.025808 Loss_D_fake -0.005805
[1570/5000][25/535][162006] Loss_D: -0.019806 Loss_G: 0.019210 Loss_D_real: -0.014267 Loss_D_fake 0.005539
[1570/5000][30/535][162007] Loss_D: -0.021057 Loss_G: -0.000724 Loss_D_real: -0.022733 Loss_D_fake -0.001675
[1570/5000][35/535][162008] Loss_D: -0.021023 Loss_G: 0.025586 Loss_D_real: -0.017256 Loss_D_fake 0.003767
[1570/5000][40/535][162009] Loss_D: -0.020093 Loss_G: -0.000141 Loss_D_real: -0.011068 Loss_D_fake 0.009025
[1570/5000][45/535][162010] Loss_D: -0.019701 Loss_G: 0.027247 Loss_D_real: -0.017109 Loss_D_fake 0.002593
[1570/5000][50/535][162011] Loss_D: -0.020012 Loss_G: 0.017836 Loss_D_real: -0.025780 Loss_D_fake -0.005768
[1570/5000][55/535][162012] Loss_D: -0.021044 Loss_G: -0.000132 Loss_D_real: -0.018760 Loss_D_fake 0.002284
[1570/5000][60/535][162013] Loss_D: -0.018116 Loss_G: -0.009005 Loss_D_real: -0.008040 Loss_D_fake 0.010077
[1570/5000][65/535][162014] Loss_D: -0.015913 Loss_G: 0.040611 Loss_D_real: -0.033427 Loss_D_fake -0.017514
[1570/5000][70/535][162015] Loss_D: -0.019494 Loss_G: 0.026555 Loss_D_real: -0.020351 Loss_D_fake -0.000857
[1570/5000][75/535][162016] Loss_D: -0.017334 Loss_G: 0.018170 Loss_D_real: -0.028786 Loss_D_fake -0.011452
[1570/5000][80/535][162017] Loss_D: -0.018263 Loss_G: 0.014693 Loss_D_real: -0.023625 Loss_D_fake -0.005363
[1570/5000][85/535][162018] Loss_D: -0.018956 Loss_G: 0.021764 Loss_D_real: -0.028971 Loss_D_fake -0.010014
[1570/5000][90/535][162019] Loss_D: -0.018976 Loss_G: 0.017091 Loss_D_real: -0.019545 Loss_D_fake -0.000569
[1570/5000][95/535][162020] Loss_D: -0.019383 Loss_G: 0.000108 Loss_D_real: 0.000342 Loss_D_fake 0.019725
[1570/5000][100/535][162021] Loss_D: -0.020174 Loss_G: 0.007353 Loss_D_real: -0.020312 Loss_D_fake -0.000139
[1570/5000][105/535][162022] Loss_D: -0.018291 Loss_G: 0.017246 Loss_D_real: -0.024632 Loss_D_fake -0.006341
[1570/5000][110/535][162023] Loss_D: -0.018919 Loss_G: 0.015912 Loss_D_real: -0.020909 Loss_D_fake -0.001990
[1570/5000][115/535][162024] Loss_D: -0.019859 Loss_G: -0.006982 Loss_D_real: -0.010635 Loss_D_fake 0.009223
[1570/5000][120/535][162025] Loss_D: -0.018006 Loss_G: 0.022872 Loss_D_real: -0.021175 Loss_D_fake -0.003169
[1570/5000][125/535][162026] Loss_D: -0.019319 Loss_G: 0.007439 Loss_D_real: -0.021457 Loss_D_fake -0.002138
[1570/5000][130/535][162027] Loss_D: -0.018935 Loss_G: -0.016899 Loss_D_real: 0.001472 Loss_D_fake 0.020408
[1570/5000][135/535][162028] Loss_D: -0.018873 Loss_G: 0.027254 Loss_D_real: -0.034922 Loss_D_fake -0.016049
[1570/5000][140/535][162029] Loss_D: -0.018178 Loss_G: -0.013265 Loss_D_real: 0.000654 Loss_D_fake 0.018832
[1570/5000][145/535][162030] Loss_D: -0.020216 Loss_G: 0.005429 Loss_D_real: -0.020744 Loss_D_fake -0.000528
[1570/5000][150/535][162031] Loss_D: -0.020079 Loss_G: 0.010125 Loss_D_real: -0.017304 Loss_D_fake 0.002775
[1570/5000][155/535][162032] Loss_D: -0.018746 Loss_G: 0.016133 Loss_D_real: -0.021081 Loss_D_fake -0.002335
[1570/5000][160/535][162033] Loss_D: -0.018011 Loss_G: 0.019158 Loss_D_real: -0.013483 Loss_D_fake 0.004528
[1570/5000][165/535][162034] Loss_D: -0.018674 Loss_G: -0.009200 Loss_D_real: -0.005049 Loss_D_fake 0.013625
[1570/5000][170/535][162035] Loss_D: -0.018924 Loss_G: 0.025235 Loss_D_real: -0.027201 Loss_D_fake -0.008277
[1570/5000][175/535][162036] Loss_D: -0.019976 Loss_G: -0.006716 Loss_D_real: -0.011073 Loss_D_fake 0.008903
[1570/5000][180/535][162037] Loss_D: -0.018897 Loss_G: 0.011610 Loss_D_real: -0.015851 Loss_D_fake 0.003046
[1570/5000][185/535][162038] Loss_D: -0.018730 Loss_G: 0.000292 Loss_D_real: -0.021658 Loss_D_fake -0.002928
[1570/5000][190/535][162039] Loss_D: -0.017960 Loss_G: 0.008672 Loss_D_real: -0.016529 Loss_D_fake 0.001431
[1570/5000][195/535][162040] Loss_D: -0.018763 Loss_G: -0.006787 Loss_D_real: 0.004629 Loss_D_fake 0.023392
[1570/5000][200/535][162041] Loss_D: -0.018245 Loss_G: 0.004841 Loss_D_real: -0.015356 Loss_D_fake 0.002888
[1570/5000][205/535][162042] Loss_D: -0.019086 Loss_G: 0.010225 Loss_D_real: -0.019073 Loss_D_fake 0.000013
[1570/5000][210/535][162043] Loss_D: -0.019891 Loss_G: 0.004239 Loss_D_real: -0.012552 Loss_D_fake 0.007339
[1570/5000][215/535][162044] Loss_D: -0.017954 Loss_G: 0.036972 Loss_D_real: -0.026875 Loss_D_fake -0.008921
[1570/5000][220/535][162045] Loss_D: -0.018436 Loss_G: 0.016539 Loss_D_real: -0.017340 Loss_D_fake 0.001096
[1570/5000][225/535][162046] Loss_D: -0.020313 Loss_G: 0.017310 Loss_D_real: -0.015216 Loss_D_fake 0.005097
[1570/5000][230/535][162047] Loss_D: -0.019422 Loss_G: 0.000633 Loss_D_real: -0.019970 Loss_D_fake -0.000548
[1570/5000][235/535][162048] Loss_D: -0.019589 Loss_G: -0.005892 Loss_D_real: -0.009423 Loss_D_fake 0.010166
[1570/5000][240/535][162049] Loss_D: -0.018602 Loss_G: 0.002846 Loss_D_real: -0.013483 Loss_D_fake 0.005119
[1570/5000][245/535][162050] Loss_D: -0.020218 Loss_G: -0.001075 Loss_D_real: -0.020247 Loss_D_fake -0.000029
[1570/5000][250/535][162051] Loss_D: -0.019374 Loss_G: -0.000718 Loss_D_real: -0.012202 Loss_D_fake 0.007172
[1570/5000][255/535][162052] Loss_D: -0.019885 Loss_G: 0.008506 Loss_D_real: -0.013948 Loss_D_fake 0.005937
[1570/5000][260/535][162053] Loss_D: -0.019810 Loss_G: 0.013333 Loss_D_real: -0.024792 Loss_D_fake -0.004982
[1570/5000][265/535][162054] Loss_D: -0.018892 Loss_G: -0.008469 Loss_D_real: 0.004614 Loss_D_fake 0.023506
[1570/5000][270/535][162055] Loss_D: -0.018828 Loss_G: 0.012381 Loss_D_real: -0.022587 Loss_D_fake -0.003760
[1570/5000][275/535][162056] Loss_D: -0.018906 Loss_G: -0.017074 Loss_D_real: -0.004072 Loss_D_fake 0.014834
[1570/5000][280/535][162057] Loss_D: -0.019160 Loss_G: 0.007259 Loss_D_real: -0.019006 Loss_D_fake 0.000153
[1570/5000][285/535][162058] Loss_D: -0.019559 Loss_G: 0.000571 Loss_D_real: -0.015778 Loss_D_fake 0.003781
[1570/5000][290/535][162059] Loss_D: -0.019447 Loss_G: -0.000597 Loss_D_real: -0.023522 Loss_D_fake -0.004076
[1570/5000][295/535][162060] Loss_D: -0.019493 Loss_G: -0.001765 Loss_D_real: -0.013313 Loss_D_fake 0.006179
[1570/5000][300/535][162061] Loss_D: -0.020011 Loss_G: 0.004889 Loss_D_real: -0.017712 Loss_D_fake 0.002299
[1570/5000][305/535][162062] Loss_D: -0.020223 Loss_G: 0.000711 Loss_D_real: -0.024478 Loss_D_fake -0.004255
[1570/5000][310/535][162063] Loss_D: -0.020028 Loss_G: 0.023796 Loss_D_real: -0.024617 Loss_D_fake -0.004589
[1570/5000][315/535][162064] Loss_D: -0.019270 Loss_G: 0.015924 Loss_D_real: -0.024160 Loss_D_fake -0.004890
[1570/5000][320/535][162065] Loss_D: -0.018881 Loss_G: 0.015098 Loss_D_real: -0.022659 Loss_D_fake -0.003778
[1570/5000][325/535][162066] Loss_D: -0.019949 Loss_G: 0.015724 Loss_D_real: -0.020503 Loss_D_fake -0.000554
[1570/5000][330/535][162067] Loss_D: -0.018665 Loss_G: 0.015681 Loss_D_real: -0.022101 Loss_D_fake -0.003436
[1570/5000][335/535][162068] Loss_D: -0.019711 Loss_G: 0.003956 Loss_D_real: -0.015179 Loss_D_fake 0.004532
[1570/5000][340/535][162069] Loss_D: -0.019978 Loss_G: -0.002688 Loss_D_real: -0.013439 Loss_D_fake 0.006539
[1570/5000][345/535][162070] Loss_D: -0.019478 Loss_G: 0.013412 Loss_D_real: -0.035570 Loss_D_fake -0.016092
[1570/5000][350/535][162071] Loss_D: -0.019481 Loss_G: 0.009443 Loss_D_real: -0.021341 Loss_D_fake -0.001860
[1570/5000][355/535][162072] Loss_D: -0.018787 Loss_G: 0.015203 Loss_D_real: -0.032225 Loss_D_fake -0.013438
[1570/5000][360/535][162073] Loss_D: -0.018750 Loss_G: -0.004202 Loss_D_real: 0.000945 Loss_D_fake 0.019695
[1570/5000][365/535][162074] Loss_D: -0.019278 Loss_G: 0.012002 Loss_D_real: -0.015771 Loss_D_fake 0.003506
[1570/5000][370/535][162075] Loss_D: -0.017922 Loss_G: -0.002362 Loss_D_real: -0.008157 Loss_D_fake 0.009765
[1570/5000][375/535][162076] Loss_D: -0.018294 Loss_G: -0.005497 Loss_D_real: -0.002963 Loss_D_fake 0.015331
[1570/5000][380/535][162077] Loss_D: -0.017918 Loss_G: -0.008883 Loss_D_real: 0.001551 Loss_D_fake 0.019470
[1570/5000][385/535][162078] Loss_D: -0.019066 Loss_G: -0.009218 Loss_D_real: -0.015268 Loss_D_fake 0.003798
[1570/5000][390/535][162079] Loss_D: -0.020392 Loss_G: 0.015842 Loss_D_real: -0.011815 Loss_D_fake 0.008578
[1570/5000][395/535][162080] Loss_D: -0.018137 Loss_G: -0.000446 Loss_D_real: -0.003506 Loss_D_fake 0.014631
[1570/5000][400/535][162081] Loss_D: -0.019299 Loss_G: 0.004804 Loss_D_real: -0.019130 Loss_D_fake 0.000169
[1570/5000][405/535][162082] Loss_D: -0.019060 Loss_G: -0.008785 Loss_D_real: -0.005770 Loss_D_fake 0.013290
[1570/5000][410/535][162083] Loss_D: -0.018494 Loss_G: 0.001181 Loss_D_real: -0.008791 Loss_D_fake 0.009703
[1570/5000][415/535][162084] Loss_D: -0.019907 Loss_G: 0.004192 Loss_D_real: -0.009205 Loss_D_fake 0.010702
[1570/5000][420/535][162085] Loss_D: -0.019594 Loss_G: 0.003774 Loss_D_real: -0.020150 Loss_D_fake -0.000556
[1570/5000][425/535][162086] Loss_D: -0.017819 Loss_G: 0.005600 Loss_D_real: -0.019686 Loss_D_fake -0.001867
[1570/5000][430/535][162087] Loss_D: -0.021766 Loss_G: 0.020108 Loss_D_real: -0.009535 Loss_D_fake 0.012231
[1570/5000][435/535][162088] Loss_D: -0.018631 Loss_G: 0.000243 Loss_D_real: -0.015856 Loss_D_fake 0.002775
[1570/5000][440/535][162089] Loss_D: -0.020448 Loss_G: 0.011818 Loss_D_real: -0.015076 Loss_D_fake 0.005372
[1570/5000][445/535][162090] Loss_D: -0.019218 Loss_G: 0.033594 Loss_D_real: -0.027757 Loss_D_fake -0.008539
[1570/5000][450/535][162091] Loss_D: -0.020246 Loss_G: 0.004191 Loss_D_real: -0.005282 Loss_D_fake 0.014964
[1570/5000][455/535][162092] Loss_D: -0.018553 Loss_G: 0.001756 Loss_D_real: -0.023675 Loss_D_fake -0.005122
[1570/5000][460/535][162093] Loss_D: -0.019065 Loss_G: 0.012230 Loss_D_real: -0.027919 Loss_D_fake -0.008854
[1570/5000][465/535][162094] Loss_D: -0.019423 Loss_G: -0.005178 Loss_D_real: -0.008502 Loss_D_fake 0.010921
[1570/5000][470/535][162095] Loss_D: -0.018371 Loss_G: 0.020834 Loss_D_real: -0.022934 Loss_D_fake -0.004563
[1570/5000][475/535][162096] Loss_D: -0.018414 Loss_G: 0.008503 Loss_D_real: -0.012206 Loss_D_fake 0.006208
[1570/5000][480/535][162097] Loss_D: -0.018811 Loss_G: 0.014538 Loss_D_real: -0.029821 Loss_D_fake -0.011009
[1570/5000][485/535][162098] Loss_D: -0.019431 Loss_G: 0.004688 Loss_D_real: -0.009836 Loss_D_fake 0.009595
[1570/5000][490/535][162099] Loss_D: -0.020041 Loss_G: 0.006539 Loss_D_real: -0.019836 Loss_D_fake 0.000205
[1570/5000][495/535][162100] Loss_D: -0.020453 Loss_G: 0.008337 Loss_D_real: -0.021457 Loss_D_fake -0.001004
[1570/5000][500/535][162101] Loss_D: -0.019475 Loss_G: 0.013324 Loss_D_real: -0.020291 Loss_D_fake -0.000815
[1570/5000][505/535][162102] Loss_D: -0.019571 Loss_G: -0.003970 Loss_D_real: 0.002573 Loss_D_fake 0.022145
[1570/5000][510/535][162103] Loss_D: -0.018535 Loss_G: 0.020144 Loss_D_real: -0.024581 Loss_D_fake -0.006046
[1570/5000][515/535][162104] Loss_D: -0.020148 Loss_G: -0.009715 Loss_D_real: -0.008307 Loss_D_fake 0.011840
[1570/5000][520/535][162105] Loss_D: -0.018561 Loss_G: 0.025435 Loss_D_real: -0.031151 Loss_D_fake -0.012590
[1570/5000][525/535][162106] Loss_D: -0.020094 Loss_G: 0.004214 Loss_D_real: -0.022253 Loss_D_fake -0.002159
[1570/5000][530/535][162107] Loss_D: -0.019220 Loss_G: 0.009867 Loss_D_real: -0.027801 Loss_D_fake -0.008580
[1570/5000][535/535][162108] Loss_D: -0.019551 Loss_G: -0.018063 Loss_D_real: -0.022773 Loss_D_fake -0.003223
[1571/5000][5/535][162109] Loss_D: -0.020275 Loss_G: -0.007879 Loss_D_real: -0.009112 Loss_D_fake 0.011163
[1571/5000][10/535][162110] Loss_D: -0.018274 Loss_G: -0.001476 Loss_D_real: -0.021378 Loss_D_fake -0.003104
[1571/5000][15/535][162111] Loss_D: -0.019749 Loss_G: -0.006041 Loss_D_real: -0.002234 Loss_D_fake 0.017516
[1571/5000][20/535][162112] Loss_D: -0.019430 Loss_G: 0.019304 Loss_D_real: -0.015066 Loss_D_fake 0.004364
[1571/5000][25/535][162113] Loss_D: -0.018710 Loss_G: 0.016234 Loss_D_real: -0.019534 Loss_D_fake -0.000825
[1571/5000][30/535][162114] Loss_D: -0.016124 Loss_G: 0.020780 Loss_D_real: -0.024899 Loss_D_fake -0.008775
[1571/5000][35/535][162115] Loss_D: -0.019244 Loss_G: 0.003688 Loss_D_real: -0.017182 Loss_D_fake 0.002061
[1571/5000][40/535][162116] Loss_D: -0.018748 Loss_G: 0.011721 Loss_D_real: -0.027597 Loss_D_fake -0.008849
[1571/5000][45/535][162117] Loss_D: -0.018780 Loss_G: -0.015319 Loss_D_real: -0.003962 Loss_D_fake 0.014817
[1571/5000][50/535][162118] Loss_D: -0.019530 Loss_G: 0.005688 Loss_D_real: -0.007064 Loss_D_fake 0.012466
[1571/5000][55/535][162119] Loss_D: -0.019412 Loss_G: 0.020733 Loss_D_real: -0.016840 Loss_D_fake 0.002571
[1571/5000][60/535][162120] Loss_D: -0.019094 Loss_G: 0.000867 Loss_D_real: -0.007942 Loss_D_fake 0.011152
[1571/5000][65/535][162121] Loss_D: -0.018147 Loss_G: 0.025651 Loss_D_real: -0.023044 Loss_D_fake -0.004897
[1571/5000][70/535][162122] Loss_D: -0.019617 Loss_G: 0.008745 Loss_D_real: -0.029675 Loss_D_fake -0.010058
[1571/5000][75/535][162123] Loss_D: -0.019543 Loss_G: 0.027674 Loss_D_real: -0.020865 Loss_D_fake -0.001322
[1571/5000][80/535][162124] Loss_D: -0.018751 Loss_G: 0.013949 Loss_D_real: -0.029560 Loss_D_fake -0.010810
[1571/5000][85/535][162125] Loss_D: -0.020782 Loss_G: 0.013640 Loss_D_real: -0.017235 Loss_D_fake 0.003547
[1571/5000][90/535][162126] Loss_D: -0.019558 Loss_G: -0.006720 Loss_D_real: -0.007868 Loss_D_fake 0.011690
[1571/5000][95/535][162127] Loss_D: -0.019582 Loss_G: 0.007057 Loss_D_real: -0.019671 Loss_D_fake -0.000090
[1571/5000][100/535][162128] Loss_D: -0.019058 Loss_G: 0.013524 Loss_D_real: -0.030596 Loss_D_fake -0.011538
[1571/5000][105/535][162129] Loss_D: -0.019096 Loss_G: -0.016978 Loss_D_real: -0.000680 Loss_D_fake 0.018416
[1571/5000][110/535][162130] Loss_D: -0.018498 Loss_G: -0.008336 Loss_D_real: -0.008970 Loss_D_fake 0.009527
[1571/5000][115/535][162131] Loss_D: -0.019972 Loss_G: 0.017496 Loss_D_real: -0.015801 Loss_D_fake 0.004171
[1571/5000][120/535][162132] Loss_D: -0.019299 Loss_G: 0.009546 Loss_D_real: -0.028096 Loss_D_fake -0.008797
[1571/5000][125/535][162133] Loss_D: -0.017499 Loss_G: -0.000375 Loss_D_real: 0.000953 Loss_D_fake 0.018452
[1571/5000][130/535][162134] Loss_D: -0.018812 Loss_G: 0.009566 Loss_D_real: -0.024832 Loss_D_fake -0.006020
[1571/5000][135/535][162135] Loss_D: -0.018358 Loss_G: 0.021871 Loss_D_real: -0.028589 Loss_D_fake -0.010231
[1571/5000][140/535][162136] Loss_D: -0.018215 Loss_G: 0.018714 Loss_D_real: -0.011871 Loss_D_fake 0.006344
[1571/5000][145/535][162137] Loss_D: -0.020363 Loss_G: 0.012706 Loss_D_real: -0.018215 Loss_D_fake 0.002147
[1571/5000][150/535][162138] Loss_D: -0.018407 Loss_G: 0.011179 Loss_D_real: -0.025383 Loss_D_fake -0.006976
[1571/5000][155/535][162139] Loss_D: -0.019221 Loss_G: 0.004335 Loss_D_real: -0.030140 Loss_D_fake -0.010919
[1571/5000][160/535][162140] Loss_D: -0.019148 Loss_G: 0.008222 Loss_D_real: -0.015485 Loss_D_fake 0.003663
[1571/5000][165/535][162141] Loss_D: -0.018776 Loss_G: -0.005717 Loss_D_real: -0.000452 Loss_D_fake 0.018324
[1571/5000][170/535][162142] Loss_D: -0.020647 Loss_G: -0.002440 Loss_D_real: -0.024142 Loss_D_fake -0.003495
[1571/5000][175/535][162143] Loss_D: -0.018718 Loss_G: 0.017609 Loss_D_real: -0.029868 Loss_D_fake -0.011151
[1571/5000][180/535][162144] Loss_D: -0.019426 Loss_G: -0.011535 Loss_D_real: -0.006158 Loss_D_fake 0.013269
[1571/5000][185/535][162145] Loss_D: -0.020387 Loss_G: 0.005898 Loss_D_real: -0.013613 Loss_D_fake 0.006774
[1571/5000][190/535][162146] Loss_D: -0.019103 Loss_G: 0.005059 Loss_D_real: -0.020535 Loss_D_fake -0.001432
[1571/5000][195/535][162147] Loss_D: -0.019271 Loss_G: 0.016769 Loss_D_real: -0.024055 Loss_D_fake -0.004785
[1571/5000][200/535][162148] Loss_D: -0.019302 Loss_G: 0.026941 Loss_D_real: -0.029746 Loss_D_fake -0.010444
[1571/5000][205/535][162149] Loss_D: -0.020839 Loss_G: 0.001603 Loss_D_real: -0.005283 Loss_D_fake 0.015556
[1571/5000][210/535][162150] Loss_D: -0.018888 Loss_G: -0.010580 Loss_D_real: -0.019442 Loss_D_fake -0.000553
[1571/5000][215/535][162151] Loss_D: -0.019317 Loss_G: 0.004035 Loss_D_real: -0.031826 Loss_D_fake -0.012510
[1571/5000][220/535][162152] Loss_D: -0.019797 Loss_G: 0.010603 Loss_D_real: -0.016667 Loss_D_fake 0.003130
[1571/5000][225/535][162153] Loss_D: -0.018496 Loss_G: 0.027771 Loss_D_real: -0.022591 Loss_D_fake -0.004095
[1571/5000][230/535][162154] Loss_D: -0.019858 Loss_G: 0.003221 Loss_D_real: -0.024523 Loss_D_fake -0.004665
[1571/5000][235/535][162155] Loss_D: -0.018245 Loss_G: 0.029591 Loss_D_real: -0.030687 Loss_D_fake -0.012441
[1571/5000][240/535][162156] Loss_D: -0.019143 Loss_G: 0.018546 Loss_D_real: -0.008688 Loss_D_fake 0.010455
[1571/5000][245/535][162157] Loss_D: -0.019515 Loss_G: 0.022307 Loss_D_real: -0.026204 Loss_D_fake -0.006689
[1571/5000][250/535][162158] Loss_D: -0.020072 Loss_G: 0.007124 Loss_D_real: -0.031546 Loss_D_fake -0.011474
[1571/5000][255/535][162159] Loss_D: -0.020153 Loss_G: 0.024086 Loss_D_real: -0.032583 Loss_D_fake -0.012430
[1571/5000][260/535][162160] Loss_D: -0.020680 Loss_G: -0.003755 Loss_D_real: -0.013707 Loss_D_fake 0.006972
[1571/5000][265/535][162161] Loss_D: -0.018851 Loss_G: 0.012532 Loss_D_real: -0.017097 Loss_D_fake 0.001754
[1571/5000][270/535][162162] Loss_D: -0.019616 Loss_G: -0.003849 Loss_D_real: -0.009537 Loss_D_fake 0.010079
[1571/5000][275/535][162163] Loss_D: -0.020756 Loss_G: 0.009446 Loss_D_real: -0.014708 Loss_D_fake 0.006048
[1571/5000][280/535][162164] Loss_D: -0.019627 Loss_G: 0.000749 Loss_D_real: -0.023478 Loss_D_fake -0.003851
[1571/5000][285/535][162165] Loss_D: -0.019122 Loss_G: 0.000900 Loss_D_real: -0.015869 Loss_D_fake 0.003253
[1571/5000][290/535][162166] Loss_D: -0.017571 Loss_G: 0.021378 Loss_D_real: -0.023491 Loss_D_fake -0.005920
[1571/5000][295/535][162167] Loss_D: -0.020566 Loss_G: -0.005715 Loss_D_real: -0.010104 Loss_D_fake 0.010462
[1571/5000][300/535][162168] Loss_D: -0.018992 Loss_G: 0.025100 Loss_D_real: -0.020475 Loss_D_fake -0.001482
[1571/5000][305/535][162169] Loss_D: -0.019020 Loss_G: 0.004143 Loss_D_real: -0.011852 Loss_D_fake 0.007168
[1571/5000][310/535][162170] Loss_D: -0.019501 Loss_G: -0.006359 Loss_D_real: -0.015526 Loss_D_fake 0.003975
[1571/5000][315/535][162171] Loss_D: -0.018673 Loss_G: 0.001465 Loss_D_real: -0.003839 Loss_D_fake 0.014833
[1571/5000][320/535][162172] Loss_D: -0.018529 Loss_G: -0.003877 Loss_D_real: 0.001461 Loss_D_fake 0.019990
[1571/5000][325/535][162173] Loss_D: -0.019576 Loss_G: 0.019701 Loss_D_real: -0.014695 Loss_D_fake 0.004881
[1571/5000][330/535][162174] Loss_D: -0.019169 Loss_G: 0.015237 Loss_D_real: -0.016041 Loss_D_fake 0.003128
[1571/5000][335/535][162175] Loss_D: -0.019000 Loss_G: 0.008490 Loss_D_real: -0.016318 Loss_D_fake 0.002682
[1571/5000][340/535][162176] Loss_D: -0.020705 Loss_G: 0.012070 Loss_D_real: -0.027705 Loss_D_fake -0.006999
[1571/5000][345/535][162177] Loss_D: -0.019519 Loss_G: 0.009146 Loss_D_real: -0.022615 Loss_D_fake -0.003096
[1571/5000][350/535][162178] Loss_D: -0.017590 Loss_G: -0.010918 Loss_D_real: 0.011104 Loss_D_fake 0.028693
[1571/5000][355/535][162179] Loss_D: -0.019163 Loss_G: 0.006630 Loss_D_real: -0.019862 Loss_D_fake -0.000700
[1571/5000][360/535][162180] Loss_D: -0.019212 Loss_G: 0.009454 Loss_D_real: -0.019032 Loss_D_fake 0.000180
[1571/5000][365/535][162181] Loss_D: -0.019225 Loss_G: 0.022706 Loss_D_real: -0.023049 Loss_D_fake -0.003824
[1571/5000][370/535][162182] Loss_D: -0.019679 Loss_G: -0.000831 Loss_D_real: -0.010731 Loss_D_fake 0.008948
[1571/5000][375/535][162183] Loss_D: -0.019905 Loss_G: -0.017717 Loss_D_real: -0.011548 Loss_D_fake 0.008356
[1571/5000][380/535][162184] Loss_D: -0.018771 Loss_G: 0.010745 Loss_D_real: -0.018304 Loss_D_fake 0.000467
[1571/5000][385/535][162185] Loss_D: -0.020199 Loss_G: -0.005375 Loss_D_real: -0.020434 Loss_D_fake -0.000235
[1571/5000][390/535][162186] Loss_D: -0.020085 Loss_G: 0.013086 Loss_D_real: -0.015840 Loss_D_fake 0.004246
[1571/5000][395/535][162187] Loss_D: -0.018243 Loss_G: 0.019116 Loss_D_real: -0.024988 Loss_D_fake -0.006745
[1571/5000][400/535][162188] Loss_D: -0.019371 Loss_G: -0.007018 Loss_D_real: -0.004821 Loss_D_fake 0.014550
[1571/5000][405/535][162189] Loss_D: -0.018904 Loss_G: -0.002587 Loss_D_real: -0.009513 Loss_D_fake 0.009391
[1571/5000][410/535][162190] Loss_D: -0.018789 Loss_G: 0.020118 Loss_D_real: -0.034974 Loss_D_fake -0.016185
[1571/5000][415/535][162191] Loss_D: -0.019680 Loss_G: 0.015661 Loss_D_real: -0.016702 Loss_D_fake 0.002978
[1571/5000][420/535][162192] Loss_D: -0.018863 Loss_G: -0.004229 Loss_D_real: -0.008681 Loss_D_fake 0.010181
[1571/5000][425/535][162193] Loss_D: -0.020160 Loss_G: 0.023469 Loss_D_real: -0.019268 Loss_D_fake 0.000892
[1571/5000][430/535][162194] Loss_D: -0.018793 Loss_G: 0.004688 Loss_D_real: -0.012103 Loss_D_fake 0.006690
[1571/5000][435/535][162195] Loss_D: -0.017456 Loss_G: 0.019276 Loss_D_real: -0.019750 Loss_D_fake -0.002294
[1571/5000][440/535][162196] Loss_D: -0.018627 Loss_G: -0.005588 Loss_D_real: -0.008847 Loss_D_fake 0.009780
[1571/5000][445/535][162197] Loss_D: -0.018850 Loss_G: -0.006630 Loss_D_real: -0.008211 Loss_D_fake 0.010639
[1571/5000][450/535][162198] Loss_D: -0.018896 Loss_G: 0.007349 Loss_D_real: -0.012112 Loss_D_fake 0.006784
[1571/5000][455/535][162199] Loss_D: -0.018211 Loss_G: -0.010711 Loss_D_real: -0.010678 Loss_D_fake 0.007533
[1571/5000][460/535][162200] Loss_D: -0.017873 Loss_G: -0.006697 Loss_D_real: -0.013575 Loss_D_fake 0.004297
[1571/5000][465/535][162201] Loss_D: -0.019805 Loss_G: 0.026414 Loss_D_real: -0.021116 Loss_D_fake -0.001311
[1571/5000][470/535][162202] Loss_D: -0.019287 Loss_G: -0.001614 Loss_D_real: -0.007366 Loss_D_fake 0.011921
[1571/5000][475/535][162203] Loss_D: -0.018532 Loss_G: 0.024867 Loss_D_real: -0.030060 Loss_D_fake -0.011527
[1571/5000][480/535][162204] Loss_D: -0.018805 Loss_G: 0.012773 Loss_D_real: -0.013380 Loss_D_fake 0.005425
[1571/5000][485/535][162205] Loss_D: -0.019087 Loss_G: 0.014357 Loss_D_real: -0.032763 Loss_D_fake -0.013676
[1571/5000][490/535][162206] Loss_D: -0.019187 Loss_G: -0.015716 Loss_D_real: -0.014026 Loss_D_fake 0.005161
[1571/5000][495/535][162207] Loss_D: -0.019858 Loss_G: 0.008099 Loss_D_real: -0.013571 Loss_D_fake 0.006287
[1571/5000][500/535][162208] Loss_D: -0.019400 Loss_G: 0.021108 Loss_D_real: -0.023921 Loss_D_fake -0.004521
[1571/5000][505/535][162209] Loss_D: -0.020366 Loss_G: 0.008834 Loss_D_real: -0.021357 Loss_D_fake -0.000991
[1571/5000][510/535][162210] Loss_D: -0.020301 Loss_G: 0.010060 Loss_D_real: -0.020192 Loss_D_fake 0.000109
[1571/5000][515/535][162211] Loss_D: -0.019387 Loss_G: 0.010344 Loss_D_real: -0.029715 Loss_D_fake -0.010329
[1571/5000][520/535][162212] Loss_D: -0.020053 Loss_G: 0.012150 Loss_D_real: -0.009407 Loss_D_fake 0.010646
[1571/5000][525/535][162213] Loss_D: -0.020323 Loss_G: 0.007192 Loss_D_real: -0.010187 Loss_D_fake 0.010135
[1571/5000][530/535][162214] Loss_D: -0.020073 Loss_G: 0.019975 Loss_D_real: -0.015281 Loss_D_fake 0.004793
[1571/5000][535/535][162215] Loss_D: -0.020911 Loss_G: -0.003022 Loss_D_real: -0.007405 Loss_D_fake 0.013505
[1572/5000][5/535][162216] Loss_D: -0.019646 Loss_G: 0.003549 Loss_D_real: -0.006823 Loss_D_fake 0.012823
[1572/5000][10/535][162217] Loss_D: -0.019877 Loss_G: 0.014931 Loss_D_real: -0.016928 Loss_D_fake 0.002949
[1572/5000][15/535][162218] Loss_D: -0.020810 Loss_G: 0.006168 Loss_D_real: -0.017146 Loss_D_fake 0.003664
[1572/5000][20/535][162219] Loss_D: -0.020753 Loss_G: 0.005737 Loss_D_real: -0.027388 Loss_D_fake -0.006635
[1572/5000][25/535][162220] Loss_D: -0.019985 Loss_G: -0.010537 Loss_D_real: -0.005905 Loss_D_fake 0.014080
[1572/5000][30/535][162221] Loss_D: -0.018693 Loss_G: 0.004621 Loss_D_real: -0.012393 Loss_D_fake 0.006300
[1572/5000][35/535][162222] Loss_D: -0.018731 Loss_G: 0.011818 Loss_D_real: -0.012178 Loss_D_fake 0.006553
[1572/5000][40/535][162223] Loss_D: -0.019406 Loss_G: 0.012282 Loss_D_real: -0.023545 Loss_D_fake -0.004139
[1572/5000][45/535][162224] Loss_D: -0.018839 Loss_G: 0.003759 Loss_D_real: 0.001458 Loss_D_fake 0.020296
[1572/5000][50/535][162225] Loss_D: -0.019431 Loss_G: 0.010418 Loss_D_real: -0.020481 Loss_D_fake -0.001050
[1572/5000][55/535][162226] Loss_D: -0.018982 Loss_G: -0.019268 Loss_D_real: 0.001311 Loss_D_fake 0.020294
[1572/5000][60/535][162227] Loss_D: -0.019856 Loss_G: -0.002930 Loss_D_real: -0.001856 Loss_D_fake 0.018000
[1572/5000][65/535][162228] Loss_D: -0.018860 Loss_G: -0.009823 Loss_D_real: -0.013615 Loss_D_fake 0.005245
[1572/5000][70/535][162229] Loss_D: -0.018097 Loss_G: -0.009734 Loss_D_real: -0.012770 Loss_D_fake 0.005327
[1572/5000][75/535][162230] Loss_D: -0.019492 Loss_G: 0.023294 Loss_D_real: -0.015793 Loss_D_fake 0.003699
[1572/5000][80/535][162231] Loss_D: -0.016518 Loss_G: -0.018515 Loss_D_real: 0.005735 Loss_D_fake 0.022253
[1572/5000][85/535][162232] Loss_D: -0.018479 Loss_G: 0.012680 Loss_D_real: -0.019152 Loss_D_fake -0.000673
[1572/5000][90/535][162233] Loss_D: -0.019397 Loss_G: 0.018566 Loss_D_real: -0.021621 Loss_D_fake -0.002224
[1572/5000][95/535][162234] Loss_D: -0.018314 Loss_G: 0.020410 Loss_D_real: -0.017309 Loss_D_fake 0.001005
[1572/5000][100/535][162235] Loss_D: -0.019737 Loss_G: -0.001961 Loss_D_real: -0.016957 Loss_D_fake 0.002780
[1572/5000][105/535][162236] Loss_D: -0.018447 Loss_G: 0.017731 Loss_D_real: -0.023731 Loss_D_fake -0.005284
[1572/5000][110/535][162237] Loss_D: -0.019605 Loss_G: 0.007216 Loss_D_real: -0.024586 Loss_D_fake -0.004982
[1572/5000][115/535][162238] Loss_D: -0.019963 Loss_G: 0.017380 Loss_D_real: -0.032218 Loss_D_fake -0.012255
[1572/5000][120/535][162239] Loss_D: -0.020253 Loss_G: 0.021470 Loss_D_real: -0.028240 Loss_D_fake -0.007987
[1572/5000][125/535][162240] Loss_D: -0.018300 Loss_G: 0.022089 Loss_D_real: -0.041382 Loss_D_fake -0.023082
[1572/5000][130/535][162241] Loss_D: -0.019594 Loss_G: 0.001835 Loss_D_real: -0.018053 Loss_D_fake 0.001542
[1572/5000][135/535][162242] Loss_D: -0.018659 Loss_G: -0.011341 Loss_D_real: -0.010069 Loss_D_fake 0.008590
[1572/5000][140/535][162243] Loss_D: -0.017097 Loss_G: 0.027601 Loss_D_real: -0.027276 Loss_D_fake -0.010178
[1572/5000][145/535][162244] Loss_D: -0.018020 Loss_G: 0.012382 Loss_D_real: -0.028062 Loss_D_fake -0.010042
[1572/5000][150/535][162245] Loss_D: -0.019008 Loss_G: 0.017088 Loss_D_real: -0.017468 Loss_D_fake 0.001540
[1572/5000][155/535][162246] Loss_D: -0.019592 Loss_G: -0.004323 Loss_D_real: -0.021003 Loss_D_fake -0.001411
[1572/5000][160/535][162247] Loss_D: -0.019140 Loss_G: 0.011759 Loss_D_real: -0.015160 Loss_D_fake 0.003981
[1572/5000][165/535][162248] Loss_D: -0.018335 Loss_G: 0.001771 Loss_D_real: -0.006754 Loss_D_fake 0.011582
[1572/5000][170/535][162249] Loss_D: -0.018232 Loss_G: 0.006631 Loss_D_real: -0.005152 Loss_D_fake 0.013080
[1572/5000][175/535][162250] Loss_D: -0.019075 Loss_G: 0.001062 Loss_D_real: -0.024951 Loss_D_fake -0.005877
[1572/5000][180/535][162251] Loss_D: -0.018449 Loss_G: 0.017743 Loss_D_real: -0.030757 Loss_D_fake -0.012308
[1572/5000][185/535][162252] Loss_D: -0.019826 Loss_G: -0.000964 Loss_D_real: -0.009878 Loss_D_fake 0.009948
[1572/5000][190/535][162253] Loss_D: -0.019810 Loss_G: 0.017687 Loss_D_real: -0.026700 Loss_D_fake -0.006890
[1572/5000][195/535][162254] Loss_D: -0.019910 Loss_G: 0.022221 Loss_D_real: -0.018776 Loss_D_fake 0.001134
[1572/5000][200/535][162255] Loss_D: -0.020909 Loss_G: 0.009866 Loss_D_real: -0.029890 Loss_D_fake -0.008981
[1572/5000][205/535][162256] Loss_D: -0.019686 Loss_G: -0.002327 Loss_D_real: -0.004960 Loss_D_fake 0.014726
[1572/5000][210/535][162257] Loss_D: -0.019650 Loss_G: 0.014714 Loss_D_real: -0.008778 Loss_D_fake 0.010871
[1572/5000][215/535][162258] Loss_D: -0.020870 Loss_G: -0.005551 Loss_D_real: -0.019136 Loss_D_fake 0.001733
[1572/5000][220/535][162259] Loss_D: -0.017728 Loss_G: 0.019919 Loss_D_real: -0.019329 Loss_D_fake -0.001601
[1572/5000][225/535][162260] Loss_D: -0.019347 Loss_G: 0.009661 Loss_D_real: -0.030726 Loss_D_fake -0.011379
[1572/5000][230/535][162261] Loss_D: -0.020235 Loss_G: 0.021442 Loss_D_real: -0.029779 Loss_D_fake -0.009544
[1572/5000][235/535][162262] Loss_D: -0.019654 Loss_G: 0.030222 Loss_D_real: -0.019019 Loss_D_fake 0.000635
[1572/5000][240/535][162263] Loss_D: -0.019757 Loss_G: 0.016610 Loss_D_real: -0.031070 Loss_D_fake -0.011312
[1572/5000][245/535][162264] Loss_D: -0.019911 Loss_G: 0.006841 Loss_D_real: -0.010199 Loss_D_fake 0.009713
[1572/5000][250/535][162265] Loss_D: -0.019579 Loss_G: 0.005869 Loss_D_real: -0.011505 Loss_D_fake 0.008074
[1572/5000][255/535][162266] Loss_D: -0.020666 Loss_G: 0.003868 Loss_D_real: -0.018020 Loss_D_fake 0.002646
[1572/5000][260/535][162267] Loss_D: -0.020063 Loss_G: 0.000594 Loss_D_real: -0.006669 Loss_D_fake 0.013393
[1572/5000][265/535][162268] Loss_D: -0.018857 Loss_G: -0.001422 Loss_D_real: -0.017925 Loss_D_fake 0.000932
[1572/5000][270/535][162269] Loss_D: -0.019411 Loss_G: -0.006128 Loss_D_real: -0.012827 Loss_D_fake 0.006583
[1572/5000][275/535][162270] Loss_D: -0.019737 Loss_G: 0.016181 Loss_D_real: -0.026797 Loss_D_fake -0.007060
[1572/5000][280/535][162271] Loss_D: -0.019111 Loss_G: 0.008538 Loss_D_real: -0.012314 Loss_D_fake 0.006797
[1572/5000][285/535][162272] Loss_D: -0.019114 Loss_G: 0.019541 Loss_D_real: -0.030019 Loss_D_fake -0.010906
[1572/5000][290/535][162273] Loss_D: -0.016884 Loss_G: 0.016808 Loss_D_real: -0.043209 Loss_D_fake -0.026325
[1572/5000][295/535][162274] Loss_D: -0.019716 Loss_G: -0.003452 Loss_D_real: -0.011100 Loss_D_fake 0.008616
[1572/5000][300/535][162275] Loss_D: -0.020467 Loss_G: -0.005623 Loss_D_real: -0.014812 Loss_D_fake 0.005655
[1572/5000][305/535][162276] Loss_D: -0.019667 Loss_G: 0.013761 Loss_D_real: -0.012155 Loss_D_fake 0.007512
[1572/5000][310/535][162277] Loss_D: -0.018152 Loss_G: -0.016082 Loss_D_real: -0.001905 Loss_D_fake 0.016247
[1572/5000][315/535][162278] Loss_D: -0.018898 Loss_G: 0.020264 Loss_D_real: -0.025091 Loss_D_fake -0.006193
[1572/5000][320/535][162279] Loss_D: -0.018800 Loss_G: 0.006733 Loss_D_real: -0.036771 Loss_D_fake -0.017971
[1572/5000][325/535][162280] Loss_D: -0.018825 Loss_G: 0.032076 Loss_D_real: -0.022534 Loss_D_fake -0.003708
[1572/5000][330/535][162281] Loss_D: -0.019583 Loss_G: 0.008611 Loss_D_real: -0.015456 Loss_D_fake 0.004127
[1572/5000][335/535][162282] Loss_D: -0.019162 Loss_G: -0.001219 Loss_D_real: -0.024826 Loss_D_fake -0.005664
[1572/5000][340/535][162283] Loss_D: -0.018966 Loss_G: 0.016882 Loss_D_real: -0.023255 Loss_D_fake -0.004289
[1572/5000][345/535][162284] Loss_D: -0.019370 Loss_G: 0.019707 Loss_D_real: -0.028379 Loss_D_fake -0.009009
[1572/5000][350/535][162285] Loss_D: -0.019832 Loss_G: 0.003445 Loss_D_real: -0.015235 Loss_D_fake 0.004596
[1572/5000][355/535][162286] Loss_D: -0.018741 Loss_G: 0.009503 Loss_D_real: -0.023192 Loss_D_fake -0.004452
[1572/5000][360/535][162287] Loss_D: -0.019884 Loss_G: 0.002978 Loss_D_real: -0.016668 Loss_D_fake 0.003216
[1572/5000][365/535][162288] Loss_D: -0.018321 Loss_G: 0.002578 Loss_D_real: -0.013644 Loss_D_fake 0.004677
[1572/5000][370/535][162289] Loss_D: -0.018247 Loss_G: -0.021777 Loss_D_real: -0.001863 Loss_D_fake 0.016383
[1572/5000][375/535][162290] Loss_D: -0.019362 Loss_G: 0.009675 Loss_D_real: -0.019623 Loss_D_fake -0.000262
[1572/5000][380/535][162291] Loss_D: -0.019708 Loss_G: -0.004385 Loss_D_real: -0.004653 Loss_D_fake 0.015055
[1572/5000][385/535][162292] Loss_D: -0.017292 Loss_G: -0.007488 Loss_D_real: -0.002998 Loss_D_fake 0.014294
[1572/5000][390/535][162293] Loss_D: -0.018696 Loss_G: 0.016382 Loss_D_real: -0.016373 Loss_D_fake 0.002324
[1572/5000][395/535][162294] Loss_D: -0.018707 Loss_G: 0.026573 Loss_D_real: -0.032075 Loss_D_fake -0.013368
[1572/5000][400/535][162295] Loss_D: -0.018794 Loss_G: 0.001875 Loss_D_real: -0.007645 Loss_D_fake 0.011148
[1572/5000][405/535][162296] Loss_D: -0.019116 Loss_G: 0.010452 Loss_D_real: -0.022820 Loss_D_fake -0.003704
[1572/5000][410/535][162297] Loss_D: -0.019451 Loss_G: 0.002686 Loss_D_real: -0.006425 Loss_D_fake 0.013026
[1572/5000][415/535][162298] Loss_D: -0.019091 Loss_G: -0.008613 Loss_D_real: -0.003302 Loss_D_fake 0.015789
[1572/5000][420/535][162299] Loss_D: -0.018964 Loss_G: -0.005006 Loss_D_real: -0.008707 Loss_D_fake 0.010256
[1572/5000][425/535][162300] Loss_D: -0.019443 Loss_G: 0.003711 Loss_D_real: -0.020202 Loss_D_fake -0.000759
[1572/5000][430/535][162301] Loss_D: -0.019101 Loss_G: 0.031523 Loss_D_real: -0.025503 Loss_D_fake -0.006403
[1572/5000][435/535][162302] Loss_D: -0.018611 Loss_G: -0.007090 Loss_D_real: -0.001237 Loss_D_fake 0.017375
[1572/5000][440/535][162303] Loss_D: -0.019423 Loss_G: 0.000403 Loss_D_real: -0.022455 Loss_D_fake -0.003031
[1572/5000][445/535][162304] Loss_D: -0.019422 Loss_G: -0.002019 Loss_D_real: -0.006327 Loss_D_fake 0.013095
[1572/5000][450/535][162305] Loss_D: -0.018292 Loss_G: -0.001201 Loss_D_real: 0.003427 Loss_D_fake 0.021719
[1572/5000][455/535][162306] Loss_D: -0.019069 Loss_G: 0.010937 Loss_D_real: -0.040963 Loss_D_fake -0.021894
[1572/5000][460/535][162307] Loss_D: -0.019697 Loss_G: 0.010726 Loss_D_real: -0.022053 Loss_D_fake -0.002356
[1572/5000][465/535][162308] Loss_D: -0.018367 Loss_G: -0.013385 Loss_D_real: 0.005098 Loss_D_fake 0.023465
[1572/5000][470/535][162309] Loss_D: -0.020002 Loss_G: 0.010935 Loss_D_real: -0.012807 Loss_D_fake 0.007195
[1572/5000][475/535][162310] Loss_D: -0.019146 Loss_G: 0.006474 Loss_D_real: -0.017443 Loss_D_fake 0.001702
[1572/5000][480/535][162311] Loss_D: -0.020166 Loss_G: 0.002677 Loss_D_real: -0.004167 Loss_D_fake 0.015999
[1572/5000][485/535][162312] Loss_D: -0.018307 Loss_G: -0.011119 Loss_D_real: -0.003403 Loss_D_fake 0.014904
[1572/5000][490/535][162313] Loss_D: -0.019150 Loss_G: 0.005368 Loss_D_real: -0.024303 Loss_D_fake -0.005152
[1572/5000][495/535][162314] Loss_D: -0.018811 Loss_G: 0.016295 Loss_D_real: -0.028595 Loss_D_fake -0.009784
[1572/5000][500/535][162315] Loss_D: -0.018100 Loss_G: -0.020893 Loss_D_real: -0.001545 Loss_D_fake 0.016555
[1572/5000][505/535][162316] Loss_D: -0.019918 Loss_G: -0.001741 Loss_D_real: -0.007284 Loss_D_fake 0.012634
[1572/5000][510/535][162317] Loss_D: -0.016709 Loss_G: 0.023981 Loss_D_real: -0.032801 Loss_D_fake -0.016091
[1572/5000][515/535][162318] Loss_D: -0.019909 Loss_G: 0.003908 Loss_D_real: -0.000936 Loss_D_fake 0.018974
[1572/5000][520/535][162319] Loss_D: -0.019733 Loss_G: 0.002511 Loss_D_real: -0.004890 Loss_D_fake 0.014843
[1572/5000][525/535][162320] Loss_D: -0.020558 Loss_G: 0.021345 Loss_D_real: -0.022394 Loss_D_fake -0.001837
[1572/5000][530/535][162321] Loss_D: -0.020193 Loss_G: 0.010593 Loss_D_real: -0.016862 Loss_D_fake 0.003331
[1572/5000][535/535][162322] Loss_D: -0.020236 Loss_G: 0.012289 Loss_D_real: -0.019696 Loss_D_fake 0.000540
[1573/5000][5/535][162323] Loss_D: -0.019920 Loss_G: 0.001683 Loss_D_real: -0.015052 Loss_D_fake 0.004868
[1573/5000][10/535][162324] Loss_D: -0.019611 Loss_G: 0.001351 Loss_D_real: -0.019762 Loss_D_fake -0.000151
[1573/5000][15/535][162325] Loss_D: -0.019190 Loss_G: -0.001879 Loss_D_real: -0.020202 Loss_D_fake -0.001012
[1573/5000][20/535][162326] Loss_D: -0.020117 Loss_G: 0.023554 Loss_D_real: -0.017299 Loss_D_fake 0.002818
[1573/5000][25/535][162327] Loss_D: -0.018317 Loss_G: 0.009445 Loss_D_real: -0.019923 Loss_D_fake -0.001606
[1573/5000][30/535][162328] Loss_D: -0.020278 Loss_G: -0.010099 Loss_D_real: -0.013201 Loss_D_fake 0.007077
[1573/5000][35/535][162329] Loss_D: -0.019137 Loss_G: 0.017696 Loss_D_real: -0.023954 Loss_D_fake -0.004817
[1573/5000][40/535][162330] Loss_D: -0.019409 Loss_G: 0.008371 Loss_D_real: -0.030037 Loss_D_fake -0.010628
[1573/5000][45/535][162331] Loss_D: -0.019835 Loss_G: 0.001155 Loss_D_real: -0.003906 Loss_D_fake 0.015929
[1573/5000][50/535][162332] Loss_D: -0.019994 Loss_G: 0.013076 Loss_D_real: -0.012257 Loss_D_fake 0.007737
[1573/5000][55/535][162333] Loss_D: -0.019792 Loss_G: -0.010941 Loss_D_real: -0.013373 Loss_D_fake 0.006419
[1573/5000][60/535][162334] Loss_D: -0.017136 Loss_G: 0.027367 Loss_D_real: -0.032095 Loss_D_fake -0.014958
[1573/5000][65/535][162335] Loss_D: -0.019540 Loss_G: -0.015080 Loss_D_real: -0.007353 Loss_D_fake 0.012187
[1573/5000][70/535][162336] Loss_D: -0.018365 Loss_G: 0.015105 Loss_D_real: -0.024163 Loss_D_fake -0.005798
[1573/5000][75/535][162337] Loss_D: -0.019740 Loss_G: 0.024005 Loss_D_real: -0.028535 Loss_D_fake -0.008794
[1573/5000][80/535][162338] Loss_D: -0.018963 Loss_G: -0.000554 Loss_D_real: -0.013287 Loss_D_fake 0.005676
[1573/5000][85/535][162339] Loss_D: -0.018733 Loss_G: 0.018124 Loss_D_real: -0.025731 Loss_D_fake -0.006998
[1573/5000][90/535][162340] Loss_D: -0.018736 Loss_G: 0.017557 Loss_D_real: -0.032546 Loss_D_fake -0.013809
[1573/5000][95/535][162341] Loss_D: -0.018117 Loss_G: 0.015949 Loss_D_real: -0.020731 Loss_D_fake -0.002614
[1573/5000][100/535][162342] Loss_D: -0.019374 Loss_G: 0.013430 Loss_D_real: -0.009531 Loss_D_fake 0.009843
[1573/5000][105/535][162343] Loss_D: -0.017256 Loss_G: 0.017744 Loss_D_real: -0.036936 Loss_D_fake -0.019680
[1573/5000][110/535][162344] Loss_D: -0.020228 Loss_G: 0.002152 Loss_D_real: -0.022835 Loss_D_fake -0.002607
[1573/5000][115/535][162345] Loss_D: -0.019828 Loss_G: 0.010081 Loss_D_real: -0.021636 Loss_D_fake -0.001809
[1573/5000][120/535][162346] Loss_D: -0.019037 Loss_G: 0.016885 Loss_D_real: -0.016979 Loss_D_fake 0.002059
[1573/5000][125/535][162347] Loss_D: -0.020326 Loss_G: -0.011785 Loss_D_real: -0.015253 Loss_D_fake 0.005073
[1573/5000][130/535][162348] Loss_D: -0.020159 Loss_G: 0.009411 Loss_D_real: -0.030520 Loss_D_fake -0.010361
[1573/5000][135/535][162349] Loss_D: -0.020421 Loss_G: 0.009256 Loss_D_real: -0.020406 Loss_D_fake 0.000016
[1573/5000][140/535][162350] Loss_D: -0.019936 Loss_G: 0.018055 Loss_D_real: -0.025190 Loss_D_fake -0.005254
[1573/5000][145/535][162351] Loss_D: -0.019213 Loss_G: -0.006007 Loss_D_real: -0.018320 Loss_D_fake 0.000893
[1573/5000][150/535][162352] Loss_D: -0.018966 Loss_G: 0.013023 Loss_D_real: -0.023711 Loss_D_fake -0.004745
[1573/5000][155/535][162353] Loss_D: -0.018550 Loss_G: 0.006204 Loss_D_real: -0.005120 Loss_D_fake 0.013431
[1573/5000][160/535][162354] Loss_D: -0.019042 Loss_G: 0.023714 Loss_D_real: -0.026143 Loss_D_fake -0.007101
[1573/5000][165/535][162355] Loss_D: -0.019107 Loss_G: 0.010161 Loss_D_real: -0.011903 Loss_D_fake 0.007204
[1573/5000][170/535][162356] Loss_D: -0.019428 Loss_G: 0.003918 Loss_D_real: -0.023825 Loss_D_fake -0.004397
[1573/5000][175/535][162357] Loss_D: -0.019381 Loss_G: 0.004695 Loss_D_real: -0.013409 Loss_D_fake 0.005971
[1573/5000][180/535][162358] Loss_D: -0.019125 Loss_G: -0.002187 Loss_D_real: -0.011024 Loss_D_fake 0.008101
[1573/5000][185/535][162359] Loss_D: -0.018163 Loss_G: -0.013060 Loss_D_real: 0.005076 Loss_D_fake 0.023239
[1573/5000][190/535][162360] Loss_D: -0.019111 Loss_G: 0.003279 Loss_D_real: -0.017890 Loss_D_fake 0.001220
[1573/5000][195/535][162361] Loss_D: -0.019898 Loss_G: 0.000213 Loss_D_real: -0.017742 Loss_D_fake 0.002156
[1573/5000][200/535][162362] Loss_D: -0.018210 Loss_G: 0.005996 Loss_D_real: -0.019370 Loss_D_fake -0.001160
[1573/5000][205/535][162363] Loss_D: -0.019036 Loss_G: -0.007544 Loss_D_real: -0.005272 Loss_D_fake 0.013764
[1573/5000][210/535][162364] Loss_D: -0.018597 Loss_G: 0.008653 Loss_D_real: -0.013603 Loss_D_fake 0.004994
[1573/5000][215/535][162365] Loss_D: -0.018296 Loss_G: -0.015610 Loss_D_real: -0.012968 Loss_D_fake 0.005328
[1573/5000][220/535][162366] Loss_D: -0.019994 Loss_G: 0.011636 Loss_D_real: -0.019373 Loss_D_fake 0.000622
[1573/5000][225/535][162367] Loss_D: -0.018336 Loss_G: -0.003081 Loss_D_real: -0.012800 Loss_D_fake 0.005536
[1573/5000][230/535][162368] Loss_D: -0.018290 Loss_G: -0.007925 Loss_D_real: -0.001608 Loss_D_fake 0.016681
[1573/5000][235/535][162369] Loss_D: -0.021354 Loss_G: 0.016195 Loss_D_real: -0.012434 Loss_D_fake 0.008920
[1573/5000][240/535][162370] Loss_D: -0.019801 Loss_G: 0.027366 Loss_D_real: -0.026871 Loss_D_fake -0.007070
[1573/5000][245/535][162371] Loss_D: -0.019642 Loss_G: 0.004936 Loss_D_real: -0.016112 Loss_D_fake 0.003530
[1573/5000][250/535][162372] Loss_D: -0.020211 Loss_G: -0.004631 Loss_D_real: -0.010745 Loss_D_fake 0.009466
[1573/5000][255/535][162373] Loss_D: -0.019582 Loss_G: -0.003308 Loss_D_real: -0.011239 Loss_D_fake 0.008343
[1573/5000][260/535][162374] Loss_D: -0.019516 Loss_G: 0.002622 Loss_D_real: -0.012345 Loss_D_fake 0.007171
[1573/5000][265/535][162375] Loss_D: -0.020202 Loss_G: 0.012206 Loss_D_real: -0.026485 Loss_D_fake -0.006284
[1573/5000][270/535][162376] Loss_D: -0.018582 Loss_G: 0.008341 Loss_D_real: -0.019475 Loss_D_fake -0.000894
[1573/5000][275/535][162377] Loss_D: -0.019787 Loss_G: 0.006306 Loss_D_real: -0.017932 Loss_D_fake 0.001855
[1573/5000][280/535][162378] Loss_D: -0.020084 Loss_G: 0.002926 Loss_D_real: -0.003003 Loss_D_fake 0.017081
[1573/5000][285/535][162379] Loss_D: -0.020429 Loss_G: 0.017734 Loss_D_real: -0.019341 Loss_D_fake 0.001088
[1573/5000][290/535][162380] Loss_D: -0.020743 Loss_G: 0.010419 Loss_D_real: -0.021738 Loss_D_fake -0.000995
[1573/5000][295/535][162381] Loss_D: -0.019386 Loss_G: -0.002135 Loss_D_real: -0.028490 Loss_D_fake -0.009104
[1573/5000][300/535][162382] Loss_D: -0.020368 Loss_G: -0.004929 Loss_D_real: -0.006225 Loss_D_fake 0.014143
[1573/5000][305/535][162383] Loss_D: -0.020460 Loss_G: 0.013936 Loss_D_real: -0.016507 Loss_D_fake 0.003954
[1573/5000][310/535][162384] Loss_D: -0.019684 Loss_G: -0.000186 Loss_D_real: 0.000253 Loss_D_fake 0.019937
[1573/5000][315/535][162385] Loss_D: -0.018189 Loss_G: 0.026368 Loss_D_real: -0.022124 Loss_D_fake -0.003935
[1573/5000][320/535][162386] Loss_D: -0.020415 Loss_G: -0.010822 Loss_D_real: 0.000879 Loss_D_fake 0.021295
[1573/5000][325/535][162387] Loss_D: -0.021410 Loss_G: 0.005898 Loss_D_real: -0.022113 Loss_D_fake -0.000703
[1573/5000][330/535][162388] Loss_D: -0.020122 Loss_G: -0.006982 Loss_D_real: -0.015548 Loss_D_fake 0.004574
[1573/5000][335/535][162389] Loss_D: -0.019573 Loss_G: 0.004477 Loss_D_real: -0.017248 Loss_D_fake 0.002325
[1573/5000][340/535][162390] Loss_D: -0.020588 Loss_G: -0.007536 Loss_D_real: -0.011127 Loss_D_fake 0.009461
[1573/5000][345/535][162391] Loss_D: -0.020152 Loss_G: -0.006480 Loss_D_real: -0.002249 Loss_D_fake 0.017904
[1573/5000][350/535][162392] Loss_D: -0.019167 Loss_G: 0.006115 Loss_D_real: -0.014854 Loss_D_fake 0.004313
[1573/5000][355/535][162393] Loss_D: -0.020175 Loss_G: 0.015541 Loss_D_real: -0.030545 Loss_D_fake -0.010370
[1573/5000][360/535][162394] Loss_D: -0.020282 Loss_G: 0.002050 Loss_D_real: -0.025570 Loss_D_fake -0.005288
[1573/5000][365/535][162395] Loss_D: -0.017654 Loss_G: -0.014558 Loss_D_real: -0.006714 Loss_D_fake 0.010939
[1573/5000][370/535][162396] Loss_D: -0.018722 Loss_G: 0.015907 Loss_D_real: -0.021879 Loss_D_fake -0.003157
[1573/5000][375/535][162397] Loss_D: -0.019216 Loss_G: 0.014591 Loss_D_real: -0.018192 Loss_D_fake 0.001024
[1573/5000][380/535][162398] Loss_D: -0.018871 Loss_G: -0.005797 Loss_D_real: -0.006728 Loss_D_fake 0.012143
[1573/5000][385/535][162399] Loss_D: -0.018822 Loss_G: 0.004283 Loss_D_real: -0.013259 Loss_D_fake 0.005563
[1573/5000][390/535][162400] Loss_D: -0.020015 Loss_G: 0.023093 Loss_D_real: -0.019182 Loss_D_fake 0.000834
[1573/5000][395/535][162401] Loss_D: -0.019257 Loss_G: 0.014834 Loss_D_real: -0.023925 Loss_D_fake -0.004668
[1573/5000][400/535][162402] Loss_D: -0.018963 Loss_G: 0.009521 Loss_D_real: -0.027518 Loss_D_fake -0.008556
[1573/5000][405/535][162403] Loss_D: -0.019703 Loss_G: -0.000102 Loss_D_real: -0.007186 Loss_D_fake 0.012518
[1573/5000][410/535][162404] Loss_D: -0.018443 Loss_G: 0.002458 Loss_D_real: -0.001058 Loss_D_fake 0.017385
[1573/5000][415/535][162405] Loss_D: -0.019466 Loss_G: 0.002051 Loss_D_real: -0.009804 Loss_D_fake 0.009662
[1573/5000][420/535][162406] Loss_D: -0.021568 Loss_G: 0.002186 Loss_D_real: -0.024778 Loss_D_fake -0.003210
[1573/5000][425/535][162407] Loss_D: -0.019690 Loss_G: 0.026640 Loss_D_real: -0.030398 Loss_D_fake -0.010707
[1573/5000][430/535][162408] Loss_D: -0.018710 Loss_G: 0.016297 Loss_D_real: -0.026685 Loss_D_fake -0.007975
[1573/5000][435/535][162409] Loss_D: -0.018962 Loss_G: -0.002977 Loss_D_real: -0.014449 Loss_D_fake 0.004513
[1573/5000][440/535][162410] Loss_D: -0.018803 Loss_G: -0.006734 Loss_D_real: -0.007682 Loss_D_fake 0.011121
[1573/5000][445/535][162411] Loss_D: -0.018745 Loss_G: 0.009219 Loss_D_real: -0.014529 Loss_D_fake 0.004216
[1573/5000][450/535][162412] Loss_D: -0.019756 Loss_G: 0.003171 Loss_D_real: -0.014631 Loss_D_fake 0.005125
[1573/5000][455/535][162413] Loss_D: -0.019029 Loss_G: 0.005550 Loss_D_real: -0.013544 Loss_D_fake 0.005485
[1573/5000][460/535][162414] Loss_D: -0.020884 Loss_G: 0.017518 Loss_D_real: -0.016870 Loss_D_fake 0.004013
[1573/5000][465/535][162415] Loss_D: -0.019955 Loss_G: -0.005811 Loss_D_real: -0.011896 Loss_D_fake 0.008059
[1573/5000][470/535][162416] Loss_D: -0.019591 Loss_G: 0.021784 Loss_D_real: -0.030320 Loss_D_fake -0.010728
[1573/5000][475/535][162417] Loss_D: -0.019881 Loss_G: 0.008440 Loss_D_real: -0.010094 Loss_D_fake 0.009788
[1573/5000][480/535][162418] Loss_D: -0.019559 Loss_G: -0.002211 Loss_D_real: -0.007935 Loss_D_fake 0.011624
[1573/5000][485/535][162419] Loss_D: -0.018353 Loss_G: -0.013760 Loss_D_real: 0.000479 Loss_D_fake 0.018832
[1573/5000][490/535][162420] Loss_D: -0.019011 Loss_G: -0.004472 Loss_D_real: -0.004633 Loss_D_fake 0.014378
[1573/5000][495/535][162421] Loss_D: -0.019646 Loss_G: -0.005188 Loss_D_real: -0.009688 Loss_D_fake 0.009958
[1573/5000][500/535][162422] Loss_D: -0.017836 Loss_G: 0.004512 Loss_D_real: -0.012596 Loss_D_fake 0.005240
[1573/5000][505/535][162423] Loss_D: -0.018162 Loss_G: -0.002826 Loss_D_real: -0.009341 Loss_D_fake 0.008821
[1573/5000][510/535][162424] Loss_D: -0.019756 Loss_G: 0.014179 Loss_D_real: -0.027562 Loss_D_fake -0.007805
[1573/5000][515/535][162425] Loss_D: -0.018701 Loss_G: 0.007087 Loss_D_real: -0.017794 Loss_D_fake 0.000907
[1573/5000][520/535][162426] Loss_D: -0.018624 Loss_G: 0.003810 Loss_D_real: -0.016313 Loss_D_fake 0.002311
[1573/5000][525/535][162427] Loss_D: -0.017933 Loss_G: -0.005413 Loss_D_real: -0.002084 Loss_D_fake 0.015849
[1573/5000][530/535][162428] Loss_D: -0.019550 Loss_G: 0.011233 Loss_D_real: -0.017837 Loss_D_fake 0.001713
[1573/5000][535/535][162429] Loss_D: -0.017605 Loss_G: 0.007533 Loss_D_real: -0.010659 Loss_D_fake 0.006947
[1574/5000][5/535][162430] Loss_D: -0.019986 Loss_G: 0.016049 Loss_D_real: -0.014823 Loss_D_fake 0.005163
[1574/5000][10/535][162431] Loss_D: -0.019502 Loss_G: 0.012046 Loss_D_real: -0.015482 Loss_D_fake 0.004021
[1574/5000][15/535][162432] Loss_D: -0.019610 Loss_G: 0.027515 Loss_D_real: -0.024185 Loss_D_fake -0.004575
[1574/5000][20/535][162433] Loss_D: -0.019219 Loss_G: 0.017081 Loss_D_real: -0.032012 Loss_D_fake -0.012792
[1574/5000][25/535][162434] Loss_D: -0.018902 Loss_G: 0.021041 Loss_D_real: -0.023881 Loss_D_fake -0.004980
[1574/5000][30/535][162435] Loss_D: -0.019072 Loss_G: 0.001062 Loss_D_real: -0.012640 Loss_D_fake 0.006432
[1574/5000][35/535][162436] Loss_D: -0.019110 Loss_G: 0.004940 Loss_D_real: -0.013475 Loss_D_fake 0.005635
[1574/5000][40/535][162437] Loss_D: -0.019418 Loss_G: 0.018395 Loss_D_real: -0.020180 Loss_D_fake -0.000762
[1574/5000][45/535][162438] Loss_D: -0.018949 Loss_G: -0.020517 Loss_D_real: -0.006145 Loss_D_fake 0.012805
[1574/5000][50/535][162439] Loss_D: -0.018515 Loss_G: 0.017738 Loss_D_real: -0.023146 Loss_D_fake -0.004630
[1574/5000][55/535][162440] Loss_D: -0.019451 Loss_G: 0.018845 Loss_D_real: -0.019688 Loss_D_fake -0.000237
[1574/5000][60/535][162441] Loss_D: -0.019352 Loss_G: 0.007900 Loss_D_real: -0.021835 Loss_D_fake -0.002483
[1574/5000][65/535][162442] Loss_D: -0.020491 Loss_G: -0.010536 Loss_D_real: -0.005522 Loss_D_fake 0.014969
[1574/5000][70/535][162443] Loss_D: -0.016862 Loss_G: 0.021319 Loss_D_real: -0.027790 Loss_D_fake -0.010928
[1574/5000][75/535][162444] Loss_D: -0.019365 Loss_G: -0.000431 Loss_D_real: -0.015111 Loss_D_fake 0.004253
[1574/5000][80/535][162445] Loss_D: -0.019278 Loss_G: -0.009776 Loss_D_real: -0.015599 Loss_D_fake 0.003679
[1574/5000][85/535][162446] Loss_D: -0.018996 Loss_G: 0.000882 Loss_D_real: -0.003131 Loss_D_fake 0.015865
[1574/5000][90/535][162447] Loss_D: -0.018989 Loss_G: 0.013921 Loss_D_real: -0.027393 Loss_D_fake -0.008405
[1574/5000][95/535][162448] Loss_D: -0.018844 Loss_G: 0.003091 Loss_D_real: -0.024121 Loss_D_fake -0.005277
[1574/5000][100/535][162449] Loss_D: -0.019552 Loss_G: 0.013028 Loss_D_real: -0.023604 Loss_D_fake -0.004051
[1574/5000][105/535][162450] Loss_D: -0.020273 Loss_G: -0.005338 Loss_D_real: -0.013517 Loss_D_fake 0.006755
[1574/5000][110/535][162451] Loss_D: -0.018823 Loss_G: 0.000064 Loss_D_real: -0.017458 Loss_D_fake 0.001365
[1574/5000][115/535][162452] Loss_D: -0.020222 Loss_G: 0.008956 Loss_D_real: -0.015661 Loss_D_fake 0.004561
[1574/5000][120/535][162453] Loss_D: -0.019600 Loss_G: 0.018394 Loss_D_real: -0.017809 Loss_D_fake 0.001791
[1574/5000][125/535][162454] Loss_D: -0.019815 Loss_G: -0.002350 Loss_D_real: -0.019232 Loss_D_fake 0.000583
[1574/5000][130/535][162455] Loss_D: -0.021021 Loss_G: 0.001350 Loss_D_real: 0.003577 Loss_D_fake 0.024599
[1574/5000][135/535][162456] Loss_D: -0.018612 Loss_G: 0.012591 Loss_D_real: -0.016611 Loss_D_fake 0.002001
[1574/5000][140/535][162457] Loss_D: -0.017316 Loss_G: 0.034127 Loss_D_real: -0.032024 Loss_D_fake -0.014708
[1574/5000][145/535][162458] Loss_D: -0.019077 Loss_G: 0.004121 Loss_D_real: -0.018595 Loss_D_fake 0.000482
[1574/5000][150/535][162459] Loss_D: -0.018868 Loss_G: 0.007640 Loss_D_real: -0.015704 Loss_D_fake 0.003163
[1574/5000][155/535][162460] Loss_D: -0.018563 Loss_G: -0.002047 Loss_D_real: -0.011811 Loss_D_fake 0.006752
[1574/5000][160/535][162461] Loss_D: -0.018237 Loss_G: -0.015571 Loss_D_real: 0.000091 Loss_D_fake 0.018328
[1574/5000][165/535][162462] Loss_D: -0.019170 Loss_G: 0.006407 Loss_D_real: -0.007976 Loss_D_fake 0.011193
[1574/5000][170/535][162463] Loss_D: -0.018630 Loss_G: 0.000512 Loss_D_real: -0.026585 Loss_D_fake -0.007955
[1574/5000][175/535][162464] Loss_D: -0.020274 Loss_G: 0.014031 Loss_D_real: -0.024399 Loss_D_fake -0.004124
[1574/5000][180/535][162465] Loss_D: -0.018284 Loss_G: -0.009680 Loss_D_real: -0.012026 Loss_D_fake 0.006258
[1574/5000][185/535][162466] Loss_D: -0.018464 Loss_G: -0.003034 Loss_D_real: -0.009403 Loss_D_fake 0.009060
[1574/5000][190/535][162467] Loss_D: -0.018814 Loss_G: 0.002162 Loss_D_real: -0.007089 Loss_D_fake 0.011725
[1574/5000][195/535][162468] Loss_D: -0.019039 Loss_G: 0.000572 Loss_D_real: -0.023172 Loss_D_fake -0.004133
[1574/5000][200/535][162469] Loss_D: -0.020642 Loss_G: 0.003296 Loss_D_real: 0.001239 Loss_D_fake 0.021881
[1574/5000][205/535][162470] Loss_D: -0.018843 Loss_G: 0.006382 Loss_D_real: -0.013102 Loss_D_fake 0.005741
[1574/5000][210/535][162471] Loss_D: -0.018575 Loss_G: -0.000010 Loss_D_real: -0.009562 Loss_D_fake 0.009013
[1574/5000][215/535][162472] Loss_D: -0.020082 Loss_G: 0.026638 Loss_D_real: -0.025427 Loss_D_fake -0.005345
[1574/5000][220/535][162473] Loss_D: -0.019421 Loss_G: -0.001777 Loss_D_real: -0.013662 Loss_D_fake 0.005759
[1574/5000][225/535][162474] Loss_D: -0.018726 Loss_G: -0.006055 Loss_D_real: -0.009094 Loss_D_fake 0.009632
[1574/5000][230/535][162475] Loss_D: -0.018519 Loss_G: 0.004094 Loss_D_real: -0.010546 Loss_D_fake 0.007973
[1574/5000][235/535][162476] Loss_D: -0.019121 Loss_G: 0.012681 Loss_D_real: -0.020011 Loss_D_fake -0.000890
[1574/5000][240/535][162477] Loss_D: -0.019667 Loss_G: 0.002033 Loss_D_real: -0.018444 Loss_D_fake 0.001223
[1574/5000][245/535][162478] Loss_D: -0.019848 Loss_G: -0.002210 Loss_D_real: 0.002891 Loss_D_fake 0.022739
[1574/5000][250/535][162479] Loss_D: -0.019165 Loss_G: 0.001720 Loss_D_real: -0.018925 Loss_D_fake 0.000240
[1574/5000][255/535][162480] Loss_D: -0.017443 Loss_G: -0.019826 Loss_D_real: -0.003716 Loss_D_fake 0.013727
[1574/5000][260/535][162481] Loss_D: -0.020394 Loss_G: 0.014040 Loss_D_real: -0.009302 Loss_D_fake 0.011091
[1574/5000][265/535][162482] Loss_D: -0.020114 Loss_G: 0.011590 Loss_D_real: -0.012305 Loss_D_fake 0.007809
[1574/5000][270/535][162483] Loss_D: -0.019430 Loss_G: -0.000160 Loss_D_real: -0.012255 Loss_D_fake 0.007175
[1574/5000][275/535][162484] Loss_D: -0.018734 Loss_G: -0.008542 Loss_D_real: -0.012273 Loss_D_fake 0.006460
[1574/5000][280/535][162485] Loss_D: -0.020877 Loss_G: 0.027352 Loss_D_real: -0.023603 Loss_D_fake -0.002726
[1574/5000][285/535][162486] Loss_D: -0.019108 Loss_G: 0.004586 Loss_D_real: -0.009551 Loss_D_fake 0.009557
[1574/5000][290/535][162487] Loss_D: -0.017181 Loss_G: 0.028399 Loss_D_real: -0.041127 Loss_D_fake -0.023946
[1574/5000][295/535][162488] Loss_D: -0.019487 Loss_G: -0.007095 Loss_D_real: -0.015309 Loss_D_fake 0.004178
[1574/5000][300/535][162489] Loss_D: -0.019179 Loss_G: 0.017790 Loss_D_real: -0.024936 Loss_D_fake -0.005757
[1574/5000][305/535][162490] Loss_D: -0.019963 Loss_G: 0.019731 Loss_D_real: -0.035161 Loss_D_fake -0.015198
[1574/5000][310/535][162491] Loss_D: -0.020934 Loss_G: 0.004796 Loss_D_real: -0.003081 Loss_D_fake 0.017853
[1574/5000][315/535][162492] Loss_D: -0.019386 Loss_G: 0.019859 Loss_D_real: -0.022259 Loss_D_fake -0.002873
[1574/5000][320/535][162493] Loss_D: -0.020394 Loss_G: 0.006910 Loss_D_real: -0.018255 Loss_D_fake 0.002139
[1574/5000][325/535][162494] Loss_D: -0.019025 Loss_G: -0.011654 Loss_D_real: -0.009294 Loss_D_fake 0.009731
[1574/5000][330/535][162495] Loss_D: -0.019358 Loss_G: 0.013605 Loss_D_real: -0.026243 Loss_D_fake -0.006885
[1574/5000][335/535][162496] Loss_D: -0.018354 Loss_G: -0.012682 Loss_D_real: 0.002435 Loss_D_fake 0.020790
[1574/5000][340/535][162497] Loss_D: -0.019405 Loss_G: 0.008418 Loss_D_real: -0.012494 Loss_D_fake 0.006910
[1574/5000][345/535][162498] Loss_D: -0.021002 Loss_G: 0.008599 Loss_D_real: -0.015679 Loss_D_fake 0.005323
[1574/5000][350/535][162499] Loss_D: -0.018599 Loss_G: 0.026336 Loss_D_real: -0.029585 Loss_D_fake -0.010986
[1574/5000][355/535][162500] Loss_D: -0.019212 Loss_G: -0.000603 Loss_D_real: -0.017787 Loss_D_fake 0.001425
[1574/5000][455/535][162501] Loss_D: -0.021640 Loss_G: 0.027745 Loss_D_real: -0.027338 Loss_D_fake -0.005699
[1574/5000][460/535][162502] Loss_D: -0.018490 Loss_G: -0.000592 Loss_D_real: 0.000146 Loss_D_fake 0.018636
[1574/5000][465/535][162503] Loss_D: -0.018503 Loss_G: 0.001487 Loss_D_real: -0.012021 Loss_D_fake 0.006482
[1574/5000][470/535][162504] Loss_D: -0.017149 Loss_G: 0.006950 Loss_D_real: -0.028297 Loss_D_fake -0.011148
[1574/5000][475/535][162505] Loss_D: -0.018810 Loss_G: 0.020162 Loss_D_real: -0.027505 Loss_D_fake -0.008695
[1574/5000][480/535][162506] Loss_D: -0.018392 Loss_G: -0.002012 Loss_D_real: -0.015948 Loss_D_fake 0.002445
[1574/5000][485/535][162507] Loss_D: -0.018574 Loss_G: -0.003648 Loss_D_real: -0.010438 Loss_D_fake 0.008136
[1574/5000][490/535][162508] Loss_D: -0.017396 Loss_G: 0.006070 Loss_D_real: -0.006101 Loss_D_fake 0.011295
[1574/5000][495/535][162509] Loss_D: -0.018819 Loss_G: 0.009926 Loss_D_real: -0.022437 Loss_D_fake -0.003618
[1574/5000][500/535][162510] Loss_D: -0.017672 Loss_G: 0.030800 Loss_D_real: -0.029706 Loss_D_fake -0.012034
[1574/5000][505/535][162511] Loss_D: -0.018755 Loss_G: 0.000018 Loss_D_real: -0.007986 Loss_D_fake 0.010769
[1574/5000][510/535][162512] Loss_D: -0.018088 Loss_G: 0.020515 Loss_D_real: -0.013362 Loss_D_fake 0.004726
[1574/5000][515/535][162513] Loss_D: -0.017816 Loss_G: 0.010954 Loss_D_real: -0.020135 Loss_D_fake -0.002319
[1574/5000][520/535][162514] Loss_D: -0.018496 Loss_G: 0.007801 Loss_D_real: -0.016381 Loss_D_fake 0.002115
[1574/5000][525/535][162515] Loss_D: -0.019125 Loss_G: 0.000075 Loss_D_real: -0.010991 Loss_D_fake 0.008134
[1574/5000][530/535][162516] Loss_D: -0.017911 Loss_G: 0.023833 Loss_D_real: -0.018720 Loss_D_fake -0.000809
[1574/5000][535/535][162517] Loss_D: -0.019860 Loss_G: -0.007361 Loss_D_real: -0.022940 Loss_D_fake -0.003080
[1575/5000][5/535][162518] Loss_D: -0.019215 Loss_G: 0.009511 Loss_D_real: -0.021812 Loss_D_fake -0.002597
[1575/5000][10/535][162519] Loss_D: -0.019636 Loss_G: 0.002824 Loss_D_real: -0.013535 Loss_D_fake 0.006101
[1575/5000][15/535][162520] Loss_D: -0.018914 Loss_G: 0.029278 Loss_D_real: -0.029364 Loss_D_fake -0.010451
[1575/5000][20/535][162521] Loss_D: -0.019949 Loss_G: 0.001037 Loss_D_real: -0.021550 Loss_D_fake -0.001602
[1575/5000][25/535][162522] Loss_D: -0.018788 Loss_G: 0.020071 Loss_D_real: -0.025575 Loss_D_fake -0.006788
[1575/5000][30/535][162523] Loss_D: -0.018330 Loss_G: -0.002188 Loss_D_real: -0.003643 Loss_D_fake 0.014686
[1575/5000][35/535][162524] Loss_D: -0.020138 Loss_G: 0.006906 Loss_D_real: -0.014999 Loss_D_fake 0.005139
[1575/5000][40/535][162525] Loss_D: -0.018884 Loss_G: 0.018620 Loss_D_real: -0.034985 Loss_D_fake -0.016101
[1575/5000][45/535][162526] Loss_D: -0.018863 Loss_G: 0.015748 Loss_D_real: -0.034283 Loss_D_fake -0.015421
[1575/5000][50/535][162527] Loss_D: -0.019729 Loss_G: -0.000020 Loss_D_real: -0.011971 Loss_D_fake 0.007758
[1575/5000][55/535][162528] Loss_D: -0.018687 Loss_G: -0.007844 Loss_D_real: -0.016114 Loss_D_fake 0.002573
[1575/5000][60/535][162529] Loss_D: -0.018377 Loss_G: 0.021877 Loss_D_real: -0.013184 Loss_D_fake 0.005193
[1575/5000][65/535][162530] Loss_D: -0.019403 Loss_G: 0.018868 Loss_D_real: -0.021312 Loss_D_fake -0.001909
[1575/5000][70/535][162531] Loss_D: -0.019443 Loss_G: -0.004599 Loss_D_real: 0.005397 Loss_D_fake 0.024840
[1575/5000][75/535][162532] Loss_D: -0.017980 Loss_G: 0.006904 Loss_D_real: -0.013245 Loss_D_fake 0.004735
[1575/5000][80/535][162533] Loss_D: -0.018557 Loss_G: 0.002149 Loss_D_real: -0.009346 Loss_D_fake 0.009211
[1575/5000][85/535][162534] Loss_D: -0.018813 Loss_G: -0.004155 Loss_D_real: -0.010071 Loss_D_fake 0.008741
[1575/5000][90/535][162535] Loss_D: -0.019338 Loss_G: 0.009104 Loss_D_real: -0.020144 Loss_D_fake -0.000806
[1575/5000][95/535][162536] Loss_D: -0.020188 Loss_G: -0.000525 Loss_D_real: -0.018630 Loss_D_fake 0.001557
[1575/5000][100/535][162537] Loss_D: -0.019941 Loss_G: -0.004444 Loss_D_real: -0.016261 Loss_D_fake 0.003680
[1575/5000][105/535][162538] Loss_D: -0.020311 Loss_G: -0.004265 Loss_D_real: -0.015638 Loss_D_fake 0.004674
[1575/5000][110/535][162539] Loss_D: -0.019852 Loss_G: 0.008552 Loss_D_real: -0.013797 Loss_D_fake 0.006055
[1575/5000][115/535][162540] Loss_D: -0.019457 Loss_G: 0.010456 Loss_D_real: -0.013689 Loss_D_fake 0.005767
[1575/5000][120/535][162541] Loss_D: -0.019094 Loss_G: 0.002141 Loss_D_real: -0.028900 Loss_D_fake -0.009805
[1575/5000][125/535][162542] Loss_D: -0.019124 Loss_G: -0.006332 Loss_D_real: -0.013322 Loss_D_fake 0.005803
[1575/5000][130/535][162543] Loss_D: -0.019943 Loss_G: 0.016809 Loss_D_real: -0.020676 Loss_D_fake -0.000733
[1575/5000][135/535][162544] Loss_D: -0.019928 Loss_G: 0.009328 Loss_D_real: -0.012575 Loss_D_fake 0.007353
[1575/5000][140/535][162545] Loss_D: -0.019682 Loss_G: 0.010283 Loss_D_real: -0.021765 Loss_D_fake -0.002083
[1575/5000][145/535][162546] Loss_D: -0.016454 Loss_G: -0.020066 Loss_D_real: 0.004059 Loss_D_fake 0.020513
[1575/5000][150/535][162547] Loss_D: -0.018341 Loss_G: 0.008310 Loss_D_real: -0.008736 Loss_D_fake 0.009605
[1575/5000][155/535][162548] Loss_D: -0.018548 Loss_G: 0.000129 Loss_D_real: -0.016265 Loss_D_fake 0.002283
[1575/5000][160/535][162549] Loss_D: -0.019742 Loss_G: 0.009969 Loss_D_real: -0.021401 Loss_D_fake -0.001659
[1575/5000][165/535][162550] Loss_D: -0.017589 Loss_G: 0.024937 Loss_D_real: -0.036531 Loss_D_fake -0.018942
[1575/5000][170/535][162551] Loss_D: -0.019692 Loss_G: 0.012020 Loss_D_real: -0.019006 Loss_D_fake 0.000687
[1575/5000][175/535][162552] Loss_D: -0.020215 Loss_G: 0.010708 Loss_D_real: -0.003938 Loss_D_fake 0.016277
[1575/5000][180/535][162553] Loss_D: -0.020447 Loss_G: 0.011848 Loss_D_real: -0.030856 Loss_D_fake -0.010409
[1575/5000][185/535][162554] Loss_D: -0.020001 Loss_G: 0.009198 Loss_D_real: -0.020082 Loss_D_fake -0.000081
[1575/5000][190/535][162555] Loss_D: -0.018193 Loss_G: -0.005337 Loss_D_real: -0.000304 Loss_D_fake 0.017889
[1575/5000][195/535][162556] Loss_D: -0.017755 Loss_G: 0.024624 Loss_D_real: -0.035280 Loss_D_fake -0.017524
[1575/5000][200/535][162557] Loss_D: -0.018649 Loss_G: 0.006402 Loss_D_real: -0.011811 Loss_D_fake 0.006838
[1575/5000][205/535][162558] Loss_D: -0.019633 Loss_G: 0.003810 Loss_D_real: -0.012130 Loss_D_fake 0.007503
[1575/5000][210/535][162559] Loss_D: -0.017974 Loss_G: 0.021422 Loss_D_real: -0.025768 Loss_D_fake -0.007795
[1575/5000][215/535][162560] Loss_D: -0.019759 Loss_G: -0.007199 Loss_D_real: -0.011599 Loss_D_fake 0.008160
[1575/5000][220/535][162561] Loss_D: -0.019253 Loss_G: 0.013964 Loss_D_real: -0.015747 Loss_D_fake 0.003506
[1575/5000][225/535][162562] Loss_D: -0.019273 Loss_G: -0.002570 Loss_D_real: -0.002647 Loss_D_fake 0.016626
[1575/5000][230/535][162563] Loss_D: -0.019571 Loss_G: -0.002649 Loss_D_real: -0.009596 Loss_D_fake 0.009974
[1575/5000][235/535][162564] Loss_D: -0.019338 Loss_G: 0.012627 Loss_D_real: -0.015225 Loss_D_fake 0.004113
[1575/5000][240/535][162565] Loss_D: -0.019559 Loss_G: 0.004170 Loss_D_real: -0.011766 Loss_D_fake 0.007793
[1575/5000][245/535][162566] Loss_D: -0.019719 Loss_G: 0.012635 Loss_D_real: -0.020659 Loss_D_fake -0.000941
[1575/5000][250/535][162567] Loss_D: -0.019531 Loss_G: 0.004227 Loss_D_real: -0.015221 Loss_D_fake 0.004310
[1575/5000][255/535][162568] Loss_D: -0.018741 Loss_G: -0.008670 Loss_D_real: -0.011436 Loss_D_fake 0.007305
[1575/5000][260/535][162569] Loss_D: -0.018726 Loss_G: 0.016474 Loss_D_real: -0.035582 Loss_D_fake -0.016856
[1575/5000][265/535][162570] Loss_D: -0.019976 Loss_G: 0.000677 Loss_D_real: -0.007554 Loss_D_fake 0.012422
[1575/5000][270/535][162571] Loss_D: -0.019736 Loss_G: 0.021153 Loss_D_real: -0.027470 Loss_D_fake -0.007734
[1575/5000][275/535][162572] Loss_D: -0.019125 Loss_G: -0.003502 Loss_D_real: 0.005496 Loss_D_fake 0.024621
[1575/5000][280/535][162573] Loss_D: -0.018051 Loss_G: -0.009170 Loss_D_real: -0.004975 Loss_D_fake 0.013076
[1575/5000][285/535][162574] Loss_D: -0.018720 Loss_G: -0.006860 Loss_D_real: -0.020001 Loss_D_fake -0.001282
[1575/5000][290/535][162575] Loss_D: -0.019604 Loss_G: 0.020436 Loss_D_real: -0.028469 Loss_D_fake -0.008865
[1575/5000][295/535][162576] Loss_D: -0.019143 Loss_G: -0.004358 Loss_D_real: -0.007213 Loss_D_fake 0.011929
[1575/5000][300/535][162577] Loss_D: -0.019730 Loss_G: 0.013201 Loss_D_real: -0.021992 Loss_D_fake -0.002262
[1575/5000][305/535][162578] Loss_D: -0.018440 Loss_G: 0.010912 Loss_D_real: -0.009492 Loss_D_fake 0.008948
[1575/5000][310/535][162579] Loss_D: -0.019153 Loss_G: 0.012611 Loss_D_real: -0.017642 Loss_D_fake 0.001511
[1575/5000][315/535][162580] Loss_D: -0.018493 Loss_G: 0.000224 Loss_D_real: -0.023110 Loss_D_fake -0.004618
[1575/5000][320/535][162581] Loss_D: -0.019724 Loss_G: 0.015303 Loss_D_real: -0.025296 Loss_D_fake -0.005572
[1575/5000][325/535][162582] Loss_D: -0.019142 Loss_G: 0.006474 Loss_D_real: -0.019612 Loss_D_fake -0.000470
[1575/5000][330/535][162583] Loss_D: -0.019601 Loss_G: 0.003807 Loss_D_real: -0.010535 Loss_D_fake 0.009066
[1575/5000][335/535][162584] Loss_D: -0.019021 Loss_G: 0.001776 Loss_D_real: -0.018514 Loss_D_fake 0.000508
[1575/5000][340/535][162585] Loss_D: -0.020063 Loss_G: 0.022587 Loss_D_real: -0.016117 Loss_D_fake 0.003946
[1575/5000][345/535][162586] Loss_D: -0.018564 Loss_G: 0.009554 Loss_D_real: -0.032825 Loss_D_fake -0.014261
[1575/5000][350/535][162587] Loss_D: -0.020202 Loss_G: -0.000119 Loss_D_real: -0.018772 Loss_D_fake 0.001430
[1575/5000][355/535][162588] Loss_D: -0.019441 Loss_G: 0.016254 Loss_D_real: -0.028225 Loss_D_fake -0.008784
[1575/5000][360/535][162589] Loss_D: -0.019547 Loss_G: -0.003038 Loss_D_real: -0.002534 Loss_D_fake 0.017013
[1575/5000][365/535][162590] Loss_D: -0.018631 Loss_G: 0.013457 Loss_D_real: -0.022509 Loss_D_fake -0.003878
[1575/5000][370/535][162591] Loss_D: -0.019724 Loss_G: -0.002914 Loss_D_real: -0.008988 Loss_D_fake 0.010736
[1575/5000][375/535][162592] Loss_D: -0.017658 Loss_G: 0.016978 Loss_D_real: -0.018760 Loss_D_fake -0.001102
[1575/5000][380/535][162593] Loss_D: -0.018211 Loss_G: -0.011277 Loss_D_real: -0.001296 Loss_D_fake 0.016915
[1575/5000][385/535][162594] Loss_D: -0.018764 Loss_G: 0.003469 Loss_D_real: -0.007839 Loss_D_fake 0.010925
[1575/5000][390/535][162595] Loss_D: -0.019474 Loss_G: -0.015459 Loss_D_real: 0.002058 Loss_D_fake 0.021532
[1575/5000][395/535][162596] Loss_D: -0.018417 Loss_G: -0.014008 Loss_D_real: -0.006119 Loss_D_fake 0.012298
[1575/5000][400/535][162597] Loss_D: -0.019706 Loss_G: 0.016067 Loss_D_real: -0.014591 Loss_D_fake 0.005115
[1575/5000][405/535][162598] Loss_D: -0.018566 Loss_G: 0.008903 Loss_D_real: -0.010999 Loss_D_fake 0.007567
[1575/5000][410/535][162599] Loss_D: -0.017920 Loss_G: -0.002955 Loss_D_real: 0.000006 Loss_D_fake 0.017926
[1575/5000][415/535][162600] Loss_D: -0.019710 Loss_G: 0.000580 Loss_D_real: -0.022263 Loss_D_fake -0.002553
[1575/5000][420/535][162601] Loss_D: -0.019527 Loss_G: 0.002864 Loss_D_real: -0.005645 Loss_D_fake 0.013883
[1575/5000][425/535][162602] Loss_D: -0.019572 Loss_G: -0.010803 Loss_D_real: -0.017304 Loss_D_fake 0.002267
[1575/5000][430/535][162603] Loss_D: -0.019320 Loss_G: -0.008547 Loss_D_real: -0.005303 Loss_D_fake 0.014017
[1575/5000][435/535][162604] Loss_D: -0.017633 Loss_G: 0.013227 Loss_D_real: -0.021921 Loss_D_fake -0.004288
[1575/5000][440/535][162605] Loss_D: -0.018875 Loss_G: -0.015309 Loss_D_real: -0.005986 Loss_D_fake 0.012889
[1575/5000][445/535][162606] Loss_D: -0.018911 Loss_G: -0.003167 Loss_D_real: -0.003757 Loss_D_fake 0.015154
[1575/5000][450/535][162607] Loss_D: -0.019315 Loss_G: 0.014125 Loss_D_real: -0.017211 Loss_D_fake 0.002104
[1575/5000][455/535][162608] Loss_D: -0.020903 Loss_G: 0.012177 Loss_D_real: -0.019689 Loss_D_fake 0.001214
[1575/5000][460/535][162609] Loss_D: -0.020205 Loss_G: 0.024549 Loss_D_real: -0.019717 Loss_D_fake 0.000489
[1575/5000][465/535][162610] Loss_D: -0.018784 Loss_G: 0.004336 Loss_D_real: -0.033022 Loss_D_fake -0.014238
[1575/5000][470/535][162611] Loss_D: -0.018826 Loss_G: -0.009943 Loss_D_real: -0.013649 Loss_D_fake 0.005177
[1575/5000][475/535][162612] Loss_D: -0.018943 Loss_G: 0.012615 Loss_D_real: -0.028778 Loss_D_fake -0.009835
[1575/5000][480/535][162613] Loss_D: -0.018838 Loss_G: 0.020916 Loss_D_real: -0.028500 Loss_D_fake -0.009662
[1575/5000][485/535][162614] Loss_D: -0.018556 Loss_G: 0.008125 Loss_D_real: -0.026795 Loss_D_fake -0.008239
[1575/5000][490/535][162615] Loss_D: -0.018731 Loss_G: 0.018464 Loss_D_real: -0.027961 Loss_D_fake -0.009230
[1575/5000][495/535][162616] Loss_D: -0.017876 Loss_G: 0.000047 Loss_D_real: -0.015682 Loss_D_fake 0.002195
[1575/5000][500/535][162617] Loss_D: -0.020911 Loss_G: 0.014991 Loss_D_real: -0.017318 Loss_D_fake 0.003593
[1575/5000][505/535][162618] Loss_D: -0.018102 Loss_G: 0.013402 Loss_D_real: -0.016869 Loss_D_fake 0.001233
[1575/5000][510/535][162619] Loss_D: -0.018871 Loss_G: 0.008572 Loss_D_real: -0.024351 Loss_D_fake -0.005480
[1575/5000][515/535][162620] Loss_D: -0.018734 Loss_G: 0.001317 Loss_D_real: -0.029944 Loss_D_fake -0.011210
[1575/5000][520/535][162621] Loss_D: -0.019116 Loss_G: 0.005579 Loss_D_real: -0.019176 Loss_D_fake -0.000061
[1575/5000][525/535][162622] Loss_D: -0.019293 Loss_G: -0.010946 Loss_D_real: -0.011911 Loss_D_fake 0.007382
[1575/5000][530/535][162623] Loss_D: -0.019115 Loss_G: -0.004373 Loss_D_real: -0.012276 Loss_D_fake 0.006839
[1575/5000][535/535][162624] Loss_D: -0.018257 Loss_G: 0.026436 Loss_D_real: -0.024801 Loss_D_fake -0.006544
[1576/5000][5/535][162625] Loss_D: -0.018638 Loss_G: 0.015451 Loss_D_real: -0.021504 Loss_D_fake -0.002866
[1576/5000][10/535][162626] Loss_D: -0.019462 Loss_G: -0.013631 Loss_D_real: 0.006133 Loss_D_fake 0.025595
[1576/5000][15/535][162627] Loss_D: -0.019221 Loss_G: 0.000889 Loss_D_real: -0.005482 Loss_D_fake 0.013740
[1576/5000][20/535][162628] Loss_D: -0.018310 Loss_G: 0.004630 Loss_D_real: -0.022120 Loss_D_fake -0.003811
[1576/5000][25/535][162629] Loss_D: -0.019499 Loss_G: 0.001360 Loss_D_real: -0.006885 Loss_D_fake 0.012614
[1576/5000][30/535][162630] Loss_D: -0.018432 Loss_G: 0.010921 Loss_D_real: -0.019092 Loss_D_fake -0.000660
[1576/5000][35/535][162631] Loss_D: -0.018515 Loss_G: -0.014970 Loss_D_real: -0.003018 Loss_D_fake 0.015497
[1576/5000][40/535][162632] Loss_D: -0.020043 Loss_G: 0.014970 Loss_D_real: -0.020151 Loss_D_fake -0.000109
[1576/5000][45/535][162633] Loss_D: -0.019584 Loss_G: -0.005110 Loss_D_real: -0.005510 Loss_D_fake 0.014073
[1576/5000][50/535][162634] Loss_D: -0.019437 Loss_G: -0.011541 Loss_D_real: -0.010780 Loss_D_fake 0.008658
[1576/5000][55/535][162635] Loss_D: -0.017848 Loss_G: 0.014369 Loss_D_real: -0.024485 Loss_D_fake -0.006637
[1576/5000][60/535][162636] Loss_D: -0.020343 Loss_G: -0.005788 Loss_D_real: -0.009823 Loss_D_fake 0.010520
[1576/5000][65/535][162637] Loss_D: -0.017724 Loss_G: 0.000249 Loss_D_real: -0.005760 Loss_D_fake 0.011965
[1576/5000][70/535][162638] Loss_D: -0.020974 Loss_G: -0.006081 Loss_D_real: -0.014486 Loss_D_fake 0.006489
[1576/5000][75/535][162639] Loss_D: -0.020924 Loss_G: 0.002143 Loss_D_real: -0.012053 Loss_D_fake 0.008872
[1576/5000][80/535][162640] Loss_D: -0.019064 Loss_G: 0.025932 Loss_D_real: -0.029511 Loss_D_fake -0.010447
[1576/5000][85/535][162641] Loss_D: -0.018865 Loss_G: -0.003791 Loss_D_real: -0.010668 Loss_D_fake 0.008197
[1576/5000][90/535][162642] Loss_D: -0.018677 Loss_G: 0.026047 Loss_D_real: -0.027313 Loss_D_fake -0.008636
[1576/5000][95/535][162643] Loss_D: -0.020510 Loss_G: -0.010801 Loss_D_real: -0.018502 Loss_D_fake 0.002007
[1576/5000][100/535][162644] Loss_D: -0.019099 Loss_G: 0.001188 Loss_D_real: -0.023640 Loss_D_fake -0.004541
[1576/5000][105/535][162645] Loss_D: -0.019659 Loss_G: -0.008429 Loss_D_real: -0.005532 Loss_D_fake 0.014127
[1576/5000][110/535][162646] Loss_D: -0.018550 Loss_G: 0.008714 Loss_D_real: -0.016149 Loss_D_fake 0.002401
[1576/5000][115/535][162647] Loss_D: -0.018527 Loss_G: -0.003696 Loss_D_real: -0.020365 Loss_D_fake -0.001838
[1576/5000][120/535][162648] Loss_D: -0.020528 Loss_G: 0.007803 Loss_D_real: -0.024080 Loss_D_fake -0.003552
[1576/5000][125/535][162649] Loss_D: -0.018352 Loss_G: 0.022230 Loss_D_real: -0.030385 Loss_D_fake -0.012033
[1576/5000][130/535][162650] Loss_D: -0.018610 Loss_G: 0.001933 Loss_D_real: -0.012639 Loss_D_fake 0.005971
[1576/5000][135/535][162651] Loss_D: -0.018887 Loss_G: 0.006141 Loss_D_real: -0.013865 Loss_D_fake 0.005022
[1576/5000][140/535][162652] Loss_D: -0.017993 Loss_G: 0.027244 Loss_D_real: -0.034053 Loss_D_fake -0.016060
[1576/5000][145/535][162653] Loss_D: -0.019461 Loss_G: 0.008513 Loss_D_real: -0.016416 Loss_D_fake 0.003045
[1576/5000][150/535][162654] Loss_D: -0.020736 Loss_G: 0.004476 Loss_D_real: -0.030281 Loss_D_fake -0.009545
[1576/5000][155/535][162655] Loss_D: -0.019760 Loss_G: 0.010893 Loss_D_real: -0.016496 Loss_D_fake 0.003265
[1576/5000][160/535][162656] Loss_D: -0.020349 Loss_G: 0.023487 Loss_D_real: -0.012734 Loss_D_fake 0.007615
[1576/5000][165/535][162657] Loss_D: -0.019362 Loss_G: 0.004113 Loss_D_real: -0.022635 Loss_D_fake -0.003273
[1576/5000][170/535][162658] Loss_D: -0.019964 Loss_G: 0.015058 Loss_D_real: -0.025016 Loss_D_fake -0.005052
[1576/5000][175/535][162659] Loss_D: -0.020107 Loss_G: -0.011563 Loss_D_real: -0.015251 Loss_D_fake 0.004856
[1576/5000][180/535][162660] Loss_D: -0.019404 Loss_G: 0.017594 Loss_D_real: -0.029469 Loss_D_fake -0.010065
[1576/5000][185/535][162661] Loss_D: -0.020438 Loss_G: 0.012847 Loss_D_real: -0.019504 Loss_D_fake 0.000933
[1576/5000][190/535][162662] Loss_D: -0.017537 Loss_G: 0.028868 Loss_D_real: -0.030330 Loss_D_fake -0.012792
[1576/5000][195/535][162663] Loss_D: -0.018975 Loss_G: 0.001470 Loss_D_real: -0.009162 Loss_D_fake 0.009812
[1576/5000][200/535][162664] Loss_D: -0.019598 Loss_G: 0.000283 Loss_D_real: -0.009764 Loss_D_fake 0.009835
[1576/5000][205/535][162665] Loss_D: -0.018114 Loss_G: 0.019899 Loss_D_real: -0.031714 Loss_D_fake -0.013601
[1576/5000][210/535][162666] Loss_D: -0.020325 Loss_G: -0.004537 Loss_D_real: 0.001180 Loss_D_fake 0.021505
[1576/5000][215/535][162667] Loss_D: -0.019336 Loss_G: 0.016206 Loss_D_real: -0.012402 Loss_D_fake 0.006934
[1576/5000][220/535][162668] Loss_D: -0.019270 Loss_G: 0.013917 Loss_D_real: -0.015945 Loss_D_fake 0.003325
[1576/5000][225/535][162669] Loss_D: -0.019187 Loss_G: 0.010598 Loss_D_real: -0.019669 Loss_D_fake -0.000481
[1576/5000][230/535][162670] Loss_D: -0.019293 Loss_G: 0.001947 Loss_D_real: -0.009071 Loss_D_fake 0.010222
[1576/5000][235/535][162671] Loss_D: -0.019083 Loss_G: 0.002337 Loss_D_real: -0.026434 Loss_D_fake -0.007352
[1576/5000][240/535][162672] Loss_D: -0.018816 Loss_G: -0.001750 Loss_D_real: -0.014721 Loss_D_fake 0.004094
[1576/5000][245/535][162673] Loss_D: -0.019760 Loss_G: 0.002773 Loss_D_real: -0.030039 Loss_D_fake -0.010279
[1576/5000][250/535][162674] Loss_D: -0.019622 Loss_G: 0.000809 Loss_D_real: -0.026444 Loss_D_fake -0.006822
[1576/5000][255/535][162675] Loss_D: -0.019195 Loss_G: 0.025238 Loss_D_real: -0.030916 Loss_D_fake -0.011721
[1576/5000][260/535][162676] Loss_D: -0.020793 Loss_G: 0.010780 Loss_D_real: -0.021357 Loss_D_fake -0.000563
[1576/5000][265/535][162677] Loss_D: -0.019460 Loss_G: -0.018394 Loss_D_real: 0.004158 Loss_D_fake 0.023619
[1576/5000][270/535][162678] Loss_D: -0.019459 Loss_G: 0.017550 Loss_D_real: -0.018625 Loss_D_fake 0.000834
[1576/5000][275/535][162679] Loss_D: -0.020427 Loss_G: -0.002603 Loss_D_real: -0.011060 Loss_D_fake 0.009368
[1576/5000][280/535][162680] Loss_D: -0.018567 Loss_G: 0.009688 Loss_D_real: -0.019608 Loss_D_fake -0.001041
[1576/5000][285/535][162681] Loss_D: -0.019446 Loss_G: 0.001707 Loss_D_real: -0.025858 Loss_D_fake -0.006412
[1576/5000][290/535][162682] Loss_D: -0.020124 Loss_G: 0.007893 Loss_D_real: -0.028634 Loss_D_fake -0.008510
[1576/5000][295/535][162683] Loss_D: -0.018488 Loss_G: 0.021985 Loss_D_real: -0.030896 Loss_D_fake -0.012408
[1576/5000][300/535][162684] Loss_D: -0.019956 Loss_G: -0.012687 Loss_D_real: -0.007566 Loss_D_fake 0.012390
[1576/5000][305/535][162685] Loss_D: -0.019054 Loss_G: -0.003893 Loss_D_real: 0.000184 Loss_D_fake 0.019239
[1576/5000][310/535][162686] Loss_D: -0.018621 Loss_G: -0.008168 Loss_D_real: -0.012730 Loss_D_fake 0.005891
[1576/5000][315/535][162687] Loss_D: -0.019261 Loss_G: -0.010971 Loss_D_real: -0.003303 Loss_D_fake 0.015958
[1576/5000][320/535][162688] Loss_D: -0.016860 Loss_G: 0.021109 Loss_D_real: -0.028280 Loss_D_fake -0.011420
[1576/5000][325/535][162689] Loss_D: -0.018907 Loss_G: 0.004907 Loss_D_real: -0.005442 Loss_D_fake 0.013464
[1576/5000][330/535][162690] Loss_D: -0.019255 Loss_G: 0.001633 Loss_D_real: -0.011923 Loss_D_fake 0.007332
[1576/5000][335/535][162691] Loss_D: -0.020239 Loss_G: 0.007178 Loss_D_real: -0.020131 Loss_D_fake 0.000108
[1576/5000][340/535][162692] Loss_D: -0.018834 Loss_G: 0.008979 Loss_D_real: -0.014590 Loss_D_fake 0.004244
[1576/5000][345/535][162693] Loss_D: -0.019746 Loss_G: 0.006205 Loss_D_real: -0.010655 Loss_D_fake 0.009091
[1576/5000][350/535][162694] Loss_D: -0.020219 Loss_G: -0.003147 Loss_D_real: -0.011001 Loss_D_fake 0.009218
[1576/5000][355/535][162695] Loss_D: -0.020405 Loss_G: -0.010139 Loss_D_real: 0.001412 Loss_D_fake 0.021817
[1576/5000][360/535][162696] Loss_D: -0.018242 Loss_G: 0.003598 Loss_D_real: -0.020060 Loss_D_fake -0.001818
[1576/5000][365/535][162697] Loss_D: -0.019235 Loss_G: 0.007130 Loss_D_real: -0.005013 Loss_D_fake 0.014222
[1576/5000][370/535][162698] Loss_D: -0.018744 Loss_G: 0.019134 Loss_D_real: -0.010786 Loss_D_fake 0.007958
[1576/5000][375/535][162699] Loss_D: -0.019074 Loss_G: 0.002760 Loss_D_real: -0.037504 Loss_D_fake -0.018429
[1576/5000][380/535][162700] Loss_D: -0.018716 Loss_G: 0.015220 Loss_D_real: -0.009915 Loss_D_fake 0.008801
[1576/5000][385/535][162701] Loss_D: -0.019093 Loss_G: -0.012690 Loss_D_real: -0.003483 Loss_D_fake 0.015610
[1576/5000][390/535][162702] Loss_D: -0.019169 Loss_G: 0.011613 Loss_D_real: -0.023623 Loss_D_fake -0.004455
[1576/5000][395/535][162703] Loss_D: -0.019848 Loss_G: 0.016436 Loss_D_real: -0.013368 Loss_D_fake 0.006480
[1576/5000][400/535][162704] Loss_D: -0.018375 Loss_G: 0.004179 Loss_D_real: -0.021700 Loss_D_fake -0.003325
[1576/5000][405/535][162705] Loss_D: -0.019387 Loss_G: -0.007596 Loss_D_real: -0.016473 Loss_D_fake 0.002914
[1576/5000][410/535][162706] Loss_D: -0.017742 Loss_G: -0.000430 Loss_D_real: -0.010802 Loss_D_fake 0.006941
[1576/5000][415/535][162707] Loss_D: -0.019342 Loss_G: 0.016734 Loss_D_real: -0.012546 Loss_D_fake 0.006797
[1576/5000][420/535][162708] Loss_D: -0.018824 Loss_G: 0.014428 Loss_D_real: -0.028526 Loss_D_fake -0.009701
[1576/5000][425/535][162709] Loss_D: -0.019959 Loss_G: 0.013364 Loss_D_real: -0.020194 Loss_D_fake -0.000235
[1576/5000][430/535][162710] Loss_D: -0.018539 Loss_G: 0.012816 Loss_D_real: -0.011692 Loss_D_fake 0.006847
[1576/5000][435/535][162711] Loss_D: -0.020592 Loss_G: -0.008820 Loss_D_real: -0.003680 Loss_D_fake 0.016912
[1576/5000][440/535][162712] Loss_D: -0.018619 Loss_G: 0.005145 Loss_D_real: -0.017701 Loss_D_fake 0.000918
[1576/5000][445/535][162713] Loss_D: -0.020791 Loss_G: 0.020300 Loss_D_real: -0.019859 Loss_D_fake 0.000932
[1576/5000][450/535][162714] Loss_D: -0.020156 Loss_G: 0.009556 Loss_D_real: -0.010166 Loss_D_fake 0.009990
[1576/5000][455/535][162715] Loss_D: -0.020328 Loss_G: 0.022289 Loss_D_real: -0.036352 Loss_D_fake -0.016024
[1576/5000][460/535][162716] Loss_D: -0.020565 Loss_G: 0.027670 Loss_D_real: -0.013051 Loss_D_fake 0.007514
[1576/5000][465/535][162717] Loss_D: -0.021288 Loss_G: -0.006558 Loss_D_real: -0.009315 Loss_D_fake 0.011973
[1576/5000][470/535][162718] Loss_D: -0.020163 Loss_G: 0.011282 Loss_D_real: -0.020296 Loss_D_fake -0.000133
[1576/5000][475/535][162719] Loss_D: -0.019038 Loss_G: 0.011661 Loss_D_real: -0.022617 Loss_D_fake -0.003579
[1576/5000][480/535][162720] Loss_D: -0.019466 Loss_G: -0.000621 Loss_D_real: -0.020032 Loss_D_fake -0.000566
[1576/5000][485/535][162721] Loss_D: -0.019024 Loss_G: 0.003407 Loss_D_real: -0.015958 Loss_D_fake 0.003066
[1576/5000][490/535][162722] Loss_D: -0.019809 Loss_G: 0.000151 Loss_D_real: -0.005690 Loss_D_fake 0.014119
[1576/5000][495/535][162723] Loss_D: -0.019221 Loss_G: -0.005597 Loss_D_real: -0.020058 Loss_D_fake -0.000837
[1576/5000][500/535][162724] Loss_D: -0.020074 Loss_G: -0.015672 Loss_D_real: 0.001626 Loss_D_fake 0.021700
[1576/5000][505/535][162725] Loss_D: -0.018623 Loss_G: 0.009294 Loss_D_real: -0.022215 Loss_D_fake -0.003592
[1576/5000][510/535][162726] Loss_D: -0.019540 Loss_G: 0.014099 Loss_D_real: -0.023585 Loss_D_fake -0.004046
[1576/5000][515/535][162727] Loss_D: -0.020515 Loss_G: 0.015678 Loss_D_real: -0.017214 Loss_D_fake 0.003301
[1576/5000][520/535][162728] Loss_D: -0.019684 Loss_G: 0.004657 Loss_D_real: -0.013438 Loss_D_fake 0.006245
[1576/5000][525/535][162729] Loss_D: -0.020665 Loss_G: -0.006774 Loss_D_real: -0.011458 Loss_D_fake 0.009207
[1576/5000][530/535][162730] Loss_D: -0.019885 Loss_G: 0.023372 Loss_D_real: -0.024844 Loss_D_fake -0.004958
[1576/5000][535/535][162731] Loss_D: -0.018180 Loss_G: 0.028130 Loss_D_real: -0.030554 Loss_D_fake -0.012375
[1577/5000][5/535][162732] Loss_D: -0.018675 Loss_G: -0.014364 Loss_D_real: -0.013684 Loss_D_fake 0.004991
[1577/5000][10/535][162733] Loss_D: -0.020582 Loss_G: 0.005309 Loss_D_real: -0.021399 Loss_D_fake -0.000816
[1577/5000][15/535][162734] Loss_D: -0.018183 Loss_G: -0.012770 Loss_D_real: -0.010215 Loss_D_fake 0.007968
[1577/5000][20/535][162735] Loss_D: -0.017883 Loss_G: 0.025947 Loss_D_real: -0.035333 Loss_D_fake -0.017449
[1577/5000][25/535][162736] Loss_D: -0.019933 Loss_G: 0.005963 Loss_D_real: -0.002113 Loss_D_fake 0.017820
[1577/5000][30/535][162737] Loss_D: -0.019312 Loss_G: -0.005153 Loss_D_real: -0.018550 Loss_D_fake 0.000762
[1577/5000][35/535][162738] Loss_D: -0.017122 Loss_G: -0.000022 Loss_D_real: -0.017198 Loss_D_fake -0.000076
[1577/5000][40/535][162739] Loss_D: -0.017773 Loss_G: 0.020719 Loss_D_real: -0.032537 Loss_D_fake -0.014764
[1577/5000][45/535][162740] Loss_D: -0.019144 Loss_G: 0.010208 Loss_D_real: -0.015235 Loss_D_fake 0.003909
[1577/5000][50/535][162741] Loss_D: -0.018932 Loss_G: 0.011260 Loss_D_real: -0.001797 Loss_D_fake 0.017135
[1577/5000][55/535][162742] Loss_D: -0.019078 Loss_G: -0.003720 Loss_D_real: -0.018325 Loss_D_fake 0.000753
[1577/5000][60/535][162743] Loss_D: -0.019048 Loss_G: 0.009770 Loss_D_real: -0.020510 Loss_D_fake -0.001462
[1577/5000][65/535][162744] Loss_D: -0.018924 Loss_G: 0.000733 Loss_D_real: -0.014720 Loss_D_fake 0.004204
[1577/5000][70/535][162745] Loss_D: -0.018587 Loss_G: 0.021837 Loss_D_real: -0.030560 Loss_D_fake -0.011972
[1577/5000][75/535][162746] Loss_D: -0.017810 Loss_G: 0.018566 Loss_D_real: -0.030382 Loss_D_fake -0.012572
[1577/5000][80/535][162747] Loss_D: -0.018064 Loss_G: 0.020530 Loss_D_real: -0.034014 Loss_D_fake -0.015950
[1577/5000][85/535][162748] Loss_D: -0.019168 Loss_G: 0.013646 Loss_D_real: -0.020154 Loss_D_fake -0.000986
[1577/5000][90/535][162749] Loss_D: -0.018955 Loss_G: 0.024800 Loss_D_real: -0.029548 Loss_D_fake -0.010593
[1577/5000][95/535][162750] Loss_D: -0.019742 Loss_G: 0.000240 Loss_D_real: -0.010035 Loss_D_fake 0.009707
[1577/5000][100/535][162751] Loss_D: -0.019292 Loss_G: 0.014597 Loss_D_real: -0.021449 Loss_D_fake -0.002157
[1577/5000][105/535][162752] Loss_D: -0.017161 Loss_G: -0.011386 Loss_D_real: -0.003226 Loss_D_fake 0.013935
[1577/5000][110/535][162753] Loss_D: -0.018804 Loss_G: 0.004553 Loss_D_real: -0.024781 Loss_D_fake -0.005977
[1577/5000][115/535][162754] Loss_D: -0.019444 Loss_G: 0.013468 Loss_D_real: -0.022007 Loss_D_fake -0.002563
[1577/5000][120/535][162755] Loss_D: -0.019626 Loss_G: 0.019377 Loss_D_real: -0.024199 Loss_D_fake -0.004573
[1577/5000][125/535][162756] Loss_D: -0.019689 Loss_G: 0.000079 Loss_D_real: -0.014824 Loss_D_fake 0.004865
[1577/5000][130/535][162757] Loss_D: -0.019768 Loss_G: 0.008598 Loss_D_real: -0.023190 Loss_D_fake -0.003422
[1577/5000][135/535][162758] Loss_D: -0.019245 Loss_G: 0.003131 Loss_D_real: -0.011926 Loss_D_fake 0.007319
[1577/5000][140/535][162759] Loss_D: -0.020217 Loss_G: 0.010313 Loss_D_real: -0.016541 Loss_D_fake 0.003676
[1577/5000][145/535][162760] Loss_D: -0.019483 Loss_G: 0.014433 Loss_D_real: -0.011747 Loss_D_fake 0.007736
[1577/5000][150/535][162761] Loss_D: -0.020135 Loss_G: 0.010769 Loss_D_real: -0.012018 Loss_D_fake 0.008118
[1577/5000][155/535][162762] Loss_D: -0.019980 Loss_G: 0.007086 Loss_D_real: -0.018817 Loss_D_fake 0.001162
[1577/5000][160/535][162763] Loss_D: -0.020312 Loss_G: 0.014173 Loss_D_real: -0.031498 Loss_D_fake -0.011186
[1577/5000][165/535][162764] Loss_D: -0.020639 Loss_G: 0.018295 Loss_D_real: -0.010531 Loss_D_fake 0.010109
[1577/5000][170/535][162765] Loss_D: -0.018070 Loss_G: -0.021384 Loss_D_real: -0.001011 Loss_D_fake 0.017060
[1577/5000][175/535][162766] Loss_D: -0.019012 Loss_G: 0.020248 Loss_D_real: -0.019650 Loss_D_fake -0.000637
[1577/5000][180/535][162767] Loss_D: -0.019446 Loss_G: 0.011142 Loss_D_real: -0.019460 Loss_D_fake -0.000014
[1577/5000][185/535][162768] Loss_D: -0.018534 Loss_G: 0.002951 Loss_D_real: -0.009652 Loss_D_fake 0.008881
[1577/5000][190/535][162769] Loss_D: -0.020276 Loss_G: -0.005902 Loss_D_real: -0.016142 Loss_D_fake 0.004134
[1577/5000][195/535][162770] Loss_D: -0.018602 Loss_G: 0.009295 Loss_D_real: -0.001755 Loss_D_fake 0.016847
[1577/5000][200/535][162771] Loss_D: -0.018872 Loss_G: 0.009205 Loss_D_real: -0.016029 Loss_D_fake 0.002843
[1577/5000][205/535][162772] Loss_D: -0.018056 Loss_G: 0.015788 Loss_D_real: -0.024117 Loss_D_fake -0.006060
[1577/5000][210/535][162773] Loss_D: -0.020604 Loss_G: 0.001626 Loss_D_real: -0.018729 Loss_D_fake 0.001876
[1577/5000][215/535][162774] Loss_D: -0.020971 Loss_G: 0.002000 Loss_D_real: -0.017217 Loss_D_fake 0.003754
[1577/5000][220/535][162775] Loss_D: -0.018913 Loss_G: -0.002861 Loss_D_real: -0.010376 Loss_D_fake 0.008537
[1577/5000][225/535][162776] Loss_D: -0.018959 Loss_G: -0.012965 Loss_D_real: -0.007507 Loss_D_fake 0.011452
[1577/5000][230/535][162777] Loss_D: -0.020512 Loss_G: 0.018269 Loss_D_real: -0.018639 Loss_D_fake 0.001873
[1577/5000][235/535][162778] Loss_D: -0.019391 Loss_G: 0.003862 Loss_D_real: -0.017123 Loss_D_fake 0.002268
[1577/5000][240/535][162779] Loss_D: -0.017452 Loss_G: 0.019163 Loss_D_real: -0.023091 Loss_D_fake -0.005639
[1577/5000][245/535][162780] Loss_D: -0.019791 Loss_G: 0.019557 Loss_D_real: -0.024235 Loss_D_fake -0.004445
[1577/5000][250/535][162781] Loss_D: -0.020548 Loss_G: 0.005312 Loss_D_real: -0.014058 Loss_D_fake 0.006490
[1577/5000][255/535][162782] Loss_D: -0.020369 Loss_G: 0.013490 Loss_D_real: -0.035682 Loss_D_fake -0.015314
[1577/5000][260/535][162783] Loss_D: -0.020414 Loss_G: 0.004344 Loss_D_real: -0.008456 Loss_D_fake 0.011958
[1577/5000][265/535][162784] Loss_D: -0.021070 Loss_G: -0.003437 Loss_D_real: -0.015474 Loss_D_fake 0.005596
[1577/5000][270/535][162785] Loss_D: -0.019054 Loss_G: -0.003699 Loss_D_real: -0.020128 Loss_D_fake -0.001074
[1577/5000][275/535][162786] Loss_D: -0.019936 Loss_G: 0.015879 Loss_D_real: -0.021222 Loss_D_fake -0.001286
[1577/5000][280/535][162787] Loss_D: -0.019758 Loss_G: -0.002577 Loss_D_real: -0.003733 Loss_D_fake 0.016025
[1577/5000][285/535][162788] Loss_D: -0.019218 Loss_G: 0.007224 Loss_D_real: -0.023101 Loss_D_fake -0.003883
[1577/5000][290/535][162789] Loss_D: -0.018965 Loss_G: 0.015606 Loss_D_real: -0.024453 Loss_D_fake -0.005488
[1577/5000][295/535][162790] Loss_D: -0.018659 Loss_G: 0.002507 Loss_D_real: -0.007848 Loss_D_fake 0.010811
[1577/5000][300/535][162791] Loss_D: -0.018710 Loss_G: 0.017977 Loss_D_real: -0.017890 Loss_D_fake 0.000820
[1577/5000][305/535][162792] Loss_D: -0.018829 Loss_G: 0.008800 Loss_D_real: -0.018215 Loss_D_fake 0.000614
[1577/5000][310/535][162793] Loss_D: -0.018664 Loss_G: 0.004060 Loss_D_real: -0.020961 Loss_D_fake -0.002296
[1577/5000][315/535][162794] Loss_D: -0.019816 Loss_G: 0.001699 Loss_D_real: -0.016869 Loss_D_fake 0.002947
[1577/5000][320/535][162795] Loss_D: -0.016163 Loss_G: 0.012344 Loss_D_real: -0.026898 Loss_D_fake -0.010734
[1577/5000][325/535][162796] Loss_D: -0.018646 Loss_G: 0.008755 Loss_D_real: -0.022122 Loss_D_fake -0.003476
[1577/5000][330/535][162797] Loss_D: -0.017593 Loss_G: -0.006650 Loss_D_real: -0.000436 Loss_D_fake 0.017157
[1577/5000][335/535][162798] Loss_D: -0.018947 Loss_G: 0.002202 Loss_D_real: -0.009213 Loss_D_fake 0.009734
[1577/5000][340/535][162799] Loss_D: -0.017908 Loss_G: -0.009194 Loss_D_real: 0.005699 Loss_D_fake 0.023607
[1577/5000][345/535][162800] Loss_D: -0.019492 Loss_G: -0.003040 Loss_D_real: -0.005221 Loss_D_fake 0.014271
[1577/5000][350/535][162801] Loss_D: -0.017819 Loss_G: -0.003729 Loss_D_real: -0.005490 Loss_D_fake 0.012329
[1577/5000][355/535][162802] Loss_D: -0.019501 Loss_G: 0.020550 Loss_D_real: -0.016912 Loss_D_fake 0.002588
[1577/5000][360/535][162803] Loss_D: -0.019149 Loss_G: 0.003905 Loss_D_real: -0.019373 Loss_D_fake -0.000223
[1577/5000][365/535][162804] Loss_D: -0.018380 Loss_G: 0.028085 Loss_D_real: -0.032047 Loss_D_fake -0.013667
[1577/5000][370/535][162805] Loss_D: -0.018757 Loss_G: 0.013543 Loss_D_real: -0.028206 Loss_D_fake -0.009449
[1577/5000][375/535][162806] Loss_D: -0.019433 Loss_G: 0.009622 Loss_D_real: -0.010819 Loss_D_fake 0.008615
[1577/5000][380/535][162807] Loss_D: -0.018332 Loss_G: 0.017709 Loss_D_real: -0.030468 Loss_D_fake -0.012136
[1577/5000][385/535][162808] Loss_D: -0.019387 Loss_G: 0.011131 Loss_D_real: -0.011693 Loss_D_fake 0.007695
[1577/5000][390/535][162809] Loss_D: -0.020191 Loss_G: 0.020669 Loss_D_real: -0.026383 Loss_D_fake -0.006192
[1577/5000][395/535][162810] Loss_D: -0.019837 Loss_G: -0.013084 Loss_D_real: -0.004933 Loss_D_fake 0.014903
[1577/5000][400/535][162811] Loss_D: -0.019284 Loss_G: -0.002936 Loss_D_real: -0.004182 Loss_D_fake 0.015101
[1577/5000][405/535][162812] Loss_D: -0.019483 Loss_G: 0.016297 Loss_D_real: -0.016580 Loss_D_fake 0.002903
[1577/5000][410/535][162813] Loss_D: -0.019850 Loss_G: 0.006533 Loss_D_real: -0.011258 Loss_D_fake 0.008591
[1577/5000][415/535][162814] Loss_D: -0.018013 Loss_G: 0.024821 Loss_D_real: -0.028327 Loss_D_fake -0.010313
[1577/5000][420/535][162815] Loss_D: -0.018160 Loss_G: 0.023922 Loss_D_real: -0.032839 Loss_D_fake -0.014679
[1577/5000][425/535][162816] Loss_D: -0.020245 Loss_G: 0.000837 Loss_D_real: -0.021395 Loss_D_fake -0.001150
[1577/5000][430/535][162817] Loss_D: -0.019028 Loss_G: 0.020169 Loss_D_real: -0.022007 Loss_D_fake -0.002979
[1577/5000][435/535][162818] Loss_D: -0.019311 Loss_G: 0.013173 Loss_D_real: -0.015487 Loss_D_fake 0.003824
[1577/5000][440/535][162819] Loss_D: -0.018982 Loss_G: 0.022746 Loss_D_real: -0.032736 Loss_D_fake -0.013753
[1577/5000][445/535][162820] Loss_D: -0.019580 Loss_G: -0.008491 Loss_D_real: 0.000264 Loss_D_fake 0.019843
[1577/5000][450/535][162821] Loss_D: -0.019199 Loss_G: 0.022359 Loss_D_real: -0.028638 Loss_D_fake -0.009439
[1577/5000][455/535][162822] Loss_D: -0.019377 Loss_G: -0.014810 Loss_D_real: -0.011881 Loss_D_fake 0.007495
[1577/5000][460/535][162823] Loss_D: -0.019359 Loss_G: -0.002901 Loss_D_real: -0.021480 Loss_D_fake -0.002121
[1577/5000][465/535][162824] Loss_D: -0.018894 Loss_G: 0.015112 Loss_D_real: -0.013386 Loss_D_fake 0.005508
[1577/5000][470/535][162825] Loss_D: -0.018937 Loss_G: 0.016613 Loss_D_real: -0.021222 Loss_D_fake -0.002285
[1577/5000][475/535][162826] Loss_D: -0.018833 Loss_G: 0.001216 Loss_D_real: -0.012742 Loss_D_fake 0.006091
[1577/5000][480/535][162827] Loss_D: -0.017950 Loss_G: -0.002992 Loss_D_real: -0.015480 Loss_D_fake 0.002469
[1577/5000][485/535][162828] Loss_D: -0.019682 Loss_G: 0.009282 Loss_D_real: -0.029551 Loss_D_fake -0.009869
[1577/5000][490/535][162829] Loss_D: -0.017416 Loss_G: 0.019172 Loss_D_real: -0.024680 Loss_D_fake -0.007264
[1577/5000][495/535][162830] Loss_D: -0.017845 Loss_G: -0.007533 Loss_D_real: -0.014514 Loss_D_fake 0.003331
[1577/5000][500/535][162831] Loss_D: -0.019139 Loss_G: 0.002034 Loss_D_real: -0.014073 Loss_D_fake 0.005066
[1577/5000][505/535][162832] Loss_D: -0.018772 Loss_G: -0.001491 Loss_D_real: -0.023184 Loss_D_fake -0.004411
[1577/5000][510/535][162833] Loss_D: -0.019762 Loss_G: 0.018531 Loss_D_real: -0.020147 Loss_D_fake -0.000385
[1577/5000][515/535][162834] Loss_D: -0.020062 Loss_G: 0.013442 Loss_D_real: -0.025856 Loss_D_fake -0.005793
[1577/5000][520/535][162835] Loss_D: -0.018567 Loss_G: -0.010568 Loss_D_real: -0.006956 Loss_D_fake 0.011610
[1577/5000][525/535][162836] Loss_D: -0.018405 Loss_G: -0.012933 Loss_D_real: 0.011743 Loss_D_fake 0.030148
[1577/5000][530/535][162837] Loss_D: -0.017837 Loss_G: 0.012761 Loss_D_real: -0.024892 Loss_D_fake -0.007055
[1577/5000][535/535][162838] Loss_D: -0.018034 Loss_G: -0.020002 Loss_D_real: -0.003947 Loss_D_fake 0.014087
[1578/5000][5/535][162839] Loss_D: -0.019999 Loss_G: 0.012778 Loss_D_real: -0.017167 Loss_D_fake 0.002832
[1578/5000][10/535][162840] Loss_D: -0.018679 Loss_G: 0.009406 Loss_D_real: -0.020664 Loss_D_fake -0.001985
[1578/5000][15/535][162841] Loss_D: -0.019323 Loss_G: 0.022407 Loss_D_real: -0.012197 Loss_D_fake 0.007126
[1578/5000][20/535][162842] Loss_D: -0.018359 Loss_G: -0.005026 Loss_D_real: -0.008856 Loss_D_fake 0.009503
[1578/5000][25/535][162843] Loss_D: -0.017838 Loss_G: -0.007383 Loss_D_real: -0.002188 Loss_D_fake 0.015650
[1578/5000][30/535][162844] Loss_D: -0.018235 Loss_G: 0.013822 Loss_D_real: -0.021518 Loss_D_fake -0.003283
[1578/5000][35/535][162845] Loss_D: -0.019500 Loss_G: 0.013893 Loss_D_real: -0.019317 Loss_D_fake 0.000182
[1578/5000][40/535][162846] Loss_D: -0.019792 Loss_G: 0.013071 Loss_D_real: -0.024302 Loss_D_fake -0.004510
[1578/5000][45/535][162847] Loss_D: -0.019457 Loss_G: 0.005601 Loss_D_real: -0.010424 Loss_D_fake 0.009033
[1578/5000][50/535][162848] Loss_D: -0.019980 Loss_G: 0.012797 Loss_D_real: -0.024801 Loss_D_fake -0.004821
[1578/5000][55/535][162849] Loss_D: -0.020326 Loss_G: 0.005732 Loss_D_real: -0.014811 Loss_D_fake 0.005516
[1578/5000][60/535][162850] Loss_D: -0.019158 Loss_G: 0.012689 Loss_D_real: -0.021152 Loss_D_fake -0.001994
[1578/5000][65/535][162851] Loss_D: -0.019847 Loss_G: -0.017952 Loss_D_real: -0.006100 Loss_D_fake 0.013747
[1578/5000][70/535][162852] Loss_D: -0.020686 Loss_G: 0.017365 Loss_D_real: -0.021792 Loss_D_fake -0.001106
[1578/5000][75/535][162853] Loss_D: -0.019114 Loss_G: 0.036309 Loss_D_real: -0.020078 Loss_D_fake -0.000964
[1578/5000][80/535][162854] Loss_D: -0.020397 Loss_G: -0.004518 Loss_D_real: -0.016362 Loss_D_fake 0.004035
[1578/5000][85/535][162855] Loss_D: -0.018398 Loss_G: 0.009211 Loss_D_real: -0.011443 Loss_D_fake 0.006955
[1578/5000][90/535][162856] Loss_D: -0.019405 Loss_G: -0.010782 Loss_D_real: -0.002249 Loss_D_fake 0.017156
[1578/5000][95/535][162857] Loss_D: -0.019384 Loss_G: -0.004054 Loss_D_real: -0.009471 Loss_D_fake 0.009912
[1578/5000][100/535][162858] Loss_D: -0.019081 Loss_G: -0.002545 Loss_D_real: -0.008616 Loss_D_fake 0.010465
[1578/5000][105/535][162859] Loss_D: -0.020165 Loss_G: 0.011683 Loss_D_real: -0.011492 Loss_D_fake 0.008673
[1578/5000][110/535][162860] Loss_D: -0.021114 Loss_G: 0.020552 Loss_D_real: -0.011668 Loss_D_fake 0.009446
[1578/5000][115/535][162861] Loss_D: -0.018758 Loss_G: 0.002786 Loss_D_real: -0.024731 Loss_D_fake -0.005973
[1578/5000][120/535][162862] Loss_D: -0.017486 Loss_G: -0.013806 Loss_D_real: -0.001265 Loss_D_fake 0.016220
[1578/5000][125/535][162863] Loss_D: -0.017995 Loss_G: -0.003275 Loss_D_real: -0.014416 Loss_D_fake 0.003579
[1578/5000][130/535][162864] Loss_D: -0.017996 Loss_G: 0.001578 Loss_D_real: -0.012218 Loss_D_fake 0.005778
[1578/5000][135/535][162865] Loss_D: -0.019860 Loss_G: 0.021200 Loss_D_real: -0.035911 Loss_D_fake -0.016051
[1578/5000][140/535][162866] Loss_D: -0.019833 Loss_G: 0.015703 Loss_D_real: -0.022480 Loss_D_fake -0.002647
[1578/5000][145/535][162867] Loss_D: -0.019135 Loss_G: 0.015233 Loss_D_real: -0.024030 Loss_D_fake -0.004895
[1578/5000][150/535][162868] Loss_D: -0.020253 Loss_G: 0.012714 Loss_D_real: -0.010867 Loss_D_fake 0.009385
[1578/5000][155/535][162869] Loss_D: -0.019231 Loss_G: -0.019982 Loss_D_real: -0.001506 Loss_D_fake 0.017725
[1578/5000][160/535][162870] Loss_D: -0.019233 Loss_G: 0.008498 Loss_D_real: -0.020056 Loss_D_fake -0.000823
[1578/5000][165/535][162871] Loss_D: -0.018871 Loss_G: 0.022475 Loss_D_real: -0.021991 Loss_D_fake -0.003121
[1578/5000][170/535][162872] Loss_D: -0.018718 Loss_G: 0.011666 Loss_D_real: -0.025125 Loss_D_fake -0.006407
[1578/5000][175/535][162873] Loss_D: -0.019755 Loss_G: 0.003178 Loss_D_real: -0.016775 Loss_D_fake 0.002980
[1578/5000][180/535][162874] Loss_D: -0.019467 Loss_G: 0.006213 Loss_D_real: -0.026321 Loss_D_fake -0.006854
[1578/5000][185/535][162875] Loss_D: -0.020086 Loss_G: -0.004298 Loss_D_real: -0.012480 Loss_D_fake 0.007606
[1578/5000][190/535][162876] Loss_D: -0.018166 Loss_G: 0.019375 Loss_D_real: -0.027017 Loss_D_fake -0.008851
[1578/5000][195/535][162877] Loss_D: -0.018882 Loss_G: 0.001037 Loss_D_real: -0.016637 Loss_D_fake 0.002246
[1578/5000][200/535][162878] Loss_D: -0.018693 Loss_G: 0.000329 Loss_D_real: -0.016903 Loss_D_fake 0.001791
[1578/5000][205/535][162879] Loss_D: -0.019983 Loss_G: 0.009039 Loss_D_real: -0.018315 Loss_D_fake 0.001668
[1578/5000][210/535][162880] Loss_D: -0.017963 Loss_G: -0.017786 Loss_D_real: -0.001897 Loss_D_fake 0.016066
[1578/5000][215/535][162881] Loss_D: -0.018162 Loss_G: -0.012337 Loss_D_real: 0.003717 Loss_D_fake 0.021879
[1578/5000][220/535][162882] Loss_D: -0.019383 Loss_G: 0.007287 Loss_D_real: -0.013218 Loss_D_fake 0.006164
[1578/5000][225/535][162883] Loss_D: -0.018338 Loss_G: 0.017780 Loss_D_real: -0.024182 Loss_D_fake -0.005844
[1578/5000][230/535][162884] Loss_D: -0.018485 Loss_G: -0.006423 Loss_D_real: -0.004167 Loss_D_fake 0.014319
[1578/5000][235/535][162885] Loss_D: -0.019439 Loss_G: 0.013045 Loss_D_real: -0.011309 Loss_D_fake 0.008131
[1578/5000][240/535][162886] Loss_D: -0.019993 Loss_G: 0.020221 Loss_D_real: -0.025286 Loss_D_fake -0.005293
[1578/5000][245/535][162887] Loss_D: -0.021122 Loss_G: 0.000416 Loss_D_real: -0.019967 Loss_D_fake 0.001155
[1578/5000][250/535][162888] Loss_D: -0.018971 Loss_G: -0.009124 Loss_D_real: -0.021612 Loss_D_fake -0.002641
[1578/5000][255/535][162889] Loss_D: -0.018938 Loss_G: 0.000865 Loss_D_real: -0.018914 Loss_D_fake 0.000024
[1578/5000][260/535][162890] Loss_D: -0.019906 Loss_G: 0.020800 Loss_D_real: -0.020500 Loss_D_fake -0.000593
[1578/5000][265/535][162891] Loss_D: -0.018528 Loss_G: 0.011565 Loss_D_real: -0.015935 Loss_D_fake 0.002593
[1578/5000][270/535][162892] Loss_D: -0.018553 Loss_G: -0.002737 Loss_D_real: -0.011174 Loss_D_fake 0.007379
[1578/5000][275/535][162893] Loss_D: -0.018940 Loss_G: 0.009230 Loss_D_real: -0.018795 Loss_D_fake 0.000146
[1578/5000][280/535][162894] Loss_D: -0.018785 Loss_G: 0.005358 Loss_D_real: -0.025366 Loss_D_fake -0.006581
[1578/5000][285/535][162895] Loss_D: -0.018443 Loss_G: 0.000790 Loss_D_real: -0.013693 Loss_D_fake 0.004750
[1578/5000][290/535][162896] Loss_D: -0.018813 Loss_G: 0.010603 Loss_D_real: -0.018103 Loss_D_fake 0.000711
[1578/5000][295/535][162897] Loss_D: -0.019393 Loss_G: 0.003913 Loss_D_real: -0.009903 Loss_D_fake 0.009490
[1578/5000][300/535][162898] Loss_D: -0.018793 Loss_G: 0.019443 Loss_D_real: -0.032495 Loss_D_fake -0.013702
[1578/5000][305/535][162899] Loss_D: -0.019875 Loss_G: 0.008510 Loss_D_real: -0.006254 Loss_D_fake 0.013622
[1578/5000][310/535][162900] Loss_D: -0.020048 Loss_G: -0.013336 Loss_D_real: -0.007254 Loss_D_fake 0.012794
[1578/5000][315/535][162901] Loss_D: -0.018658 Loss_G: 0.019889 Loss_D_real: -0.023974 Loss_D_fake -0.005316
[1578/5000][320/535][162902] Loss_D: -0.019244 Loss_G: 0.002475 Loss_D_real: -0.005232 Loss_D_fake 0.014012
[1578/5000][325/535][162903] Loss_D: -0.017337 Loss_G: -0.009895 Loss_D_real: -0.002143 Loss_D_fake 0.015194
[1578/5000][330/535][162904] Loss_D: -0.019569 Loss_G: 0.012444 Loss_D_real: -0.022395 Loss_D_fake -0.002826
[1578/5000][335/535][162905] Loss_D: -0.019515 Loss_G: 0.027125 Loss_D_real: -0.028824 Loss_D_fake -0.009309
[1578/5000][340/535][162906] Loss_D: -0.017437 Loss_G: 0.012499 Loss_D_real: -0.028721 Loss_D_fake -0.011284
[1578/5000][345/535][162907] Loss_D: -0.020082 Loss_G: -0.010037 Loss_D_real: -0.006380 Loss_D_fake 0.013702
[1578/5000][350/535][162908] Loss_D: -0.018349 Loss_G: 0.011158 Loss_D_real: -0.021198 Loss_D_fake -0.002849
[1578/5000][355/535][162909] Loss_D: -0.019890 Loss_G: 0.000999 Loss_D_real: -0.027367 Loss_D_fake -0.007478
[1578/5000][360/535][162910] Loss_D: -0.019251 Loss_G: 0.014253 Loss_D_real: -0.025152 Loss_D_fake -0.005902
[1578/5000][365/535][162911] Loss_D: -0.019714 Loss_G: -0.007153 Loss_D_real: -0.006634 Loss_D_fake 0.013080
[1578/5000][370/535][162912] Loss_D: -0.018831 Loss_G: 0.015980 Loss_D_real: -0.025862 Loss_D_fake -0.007030
[1578/5000][375/535][162913] Loss_D: -0.019408 Loss_G: -0.009212 Loss_D_real: 0.004505 Loss_D_fake 0.023913
[1578/5000][380/535][162914] Loss_D: -0.019100 Loss_G: 0.019655 Loss_D_real: -0.024576 Loss_D_fake -0.005476
[1578/5000][385/535][162915] Loss_D: -0.018771 Loss_G: -0.018837 Loss_D_real: -0.000824 Loss_D_fake 0.017947
[1578/5000][390/535][162916] Loss_D: -0.020721 Loss_G: -0.002167 Loss_D_real: -0.026135 Loss_D_fake -0.005414
[1578/5000][395/535][162917] Loss_D: -0.019080 Loss_G: -0.000401 Loss_D_real: -0.006560 Loss_D_fake 0.012520
[1578/5000][400/535][162918] Loss_D: -0.019802 Loss_G: 0.020366 Loss_D_real: -0.019196 Loss_D_fake 0.000606
[1578/5000][405/535][162919] Loss_D: -0.019725 Loss_G: 0.005813 Loss_D_real: -0.009276 Loss_D_fake 0.010450
[1578/5000][410/535][162920] Loss_D: -0.018296 Loss_G: -0.003816 Loss_D_real: -0.006984 Loss_D_fake 0.011312
[1578/5000][415/535][162921] Loss_D: -0.018680 Loss_G: 0.014945 Loss_D_real: -0.019314 Loss_D_fake -0.000633
[1578/5000][420/535][162922] Loss_D: -0.019005 Loss_G: 0.010008 Loss_D_real: -0.021289 Loss_D_fake -0.002283
[1578/5000][425/535][162923] Loss_D: -0.019604 Loss_G: 0.021696 Loss_D_real: -0.029078 Loss_D_fake -0.009474
[1578/5000][430/535][162924] Loss_D: -0.020405 Loss_G: 0.006709 Loss_D_real: -0.014182 Loss_D_fake 0.006224
[1578/5000][435/535][162925] Loss_D: -0.018388 Loss_G: -0.005398 Loss_D_real: -0.012232 Loss_D_fake 0.006156
[1578/5000][440/535][162926] Loss_D: -0.018758 Loss_G: 0.019935 Loss_D_real: -0.012645 Loss_D_fake 0.006113
[1578/5000][445/535][162927] Loss_D: -0.018668 Loss_G: -0.009341 Loss_D_real: -0.000989 Loss_D_fake 0.017679
[1578/5000][450/535][162928] Loss_D: -0.017853 Loss_G: 0.023709 Loss_D_real: -0.033009 Loss_D_fake -0.015157
[1578/5000][455/535][162929] Loss_D: -0.018310 Loss_G: 0.016125 Loss_D_real: -0.024316 Loss_D_fake -0.006007
[1578/5000][460/535][162930] Loss_D: -0.019730 Loss_G: -0.013509 Loss_D_real: -0.009174 Loss_D_fake 0.010556
[1578/5000][465/535][162931] Loss_D: -0.018512 Loss_G: 0.008985 Loss_D_real: -0.024958 Loss_D_fake -0.006446
[1578/5000][470/535][162932] Loss_D: -0.019198 Loss_G: 0.004487 Loss_D_real: -0.014627 Loss_D_fake 0.004571
[1578/5000][475/535][162933] Loss_D: -0.021124 Loss_G: 0.006205 Loss_D_real: -0.012964 Loss_D_fake 0.008161
[1578/5000][480/535][162934] Loss_D: -0.019569 Loss_G: 0.001272 Loss_D_real: -0.008632 Loss_D_fake 0.010937
[1578/5000][485/535][162935] Loss_D: -0.020464 Loss_G: 0.013901 Loss_D_real: -0.031610 Loss_D_fake -0.011145
[1578/5000][490/535][162936] Loss_D: -0.020235 Loss_G: 0.021496 Loss_D_real: -0.027109 Loss_D_fake -0.006874
[1578/5000][495/535][162937] Loss_D: -0.019203 Loss_G: 0.027410 Loss_D_real: -0.034536 Loss_D_fake -0.015333
[1578/5000][500/535][162938] Loss_D: -0.020178 Loss_G: 0.006407 Loss_D_real: -0.033221 Loss_D_fake -0.013044
[1578/5000][505/535][162939] Loss_D: -0.019675 Loss_G: -0.011360 Loss_D_real: -0.007135 Loss_D_fake 0.012539
[1578/5000][510/535][162940] Loss_D: -0.019615 Loss_G: 0.013939 Loss_D_real: -0.022684 Loss_D_fake -0.003068
[1578/5000][515/535][162941] Loss_D: -0.019572 Loss_G: 0.004075 Loss_D_real: -0.006432 Loss_D_fake 0.013140
[1578/5000][520/535][162942] Loss_D: -0.019046 Loss_G: 0.005848 Loss_D_real: -0.014181 Loss_D_fake 0.004865
[1578/5000][525/535][162943] Loss_D: -0.021062 Loss_G: -0.003983 Loss_D_real: -0.009294 Loss_D_fake 0.011768
[1578/5000][530/535][162944] Loss_D: -0.017801 Loss_G: 0.001824 Loss_D_real: -0.016784 Loss_D_fake 0.001017
[1578/5000][535/535][162945] Loss_D: -0.016772 Loss_G: -0.034861 Loss_D_real: -0.009118 Loss_D_fake 0.007654
[1579/5000][5/535][162946] Loss_D: -0.017751 Loss_G: 0.001046 Loss_D_real: -0.015151 Loss_D_fake 0.002600
[1579/5000][10/535][162947] Loss_D: -0.017424 Loss_G: -0.007674 Loss_D_real: -0.005560 Loss_D_fake 0.011864
[1579/5000][15/535][162948] Loss_D: -0.018544 Loss_G: 0.022728 Loss_D_real: -0.013669 Loss_D_fake 0.004875
[1579/5000][20/535][162949] Loss_D: -0.018116 Loss_G: -0.001763 Loss_D_real: -0.003423 Loss_D_fake 0.014692
[1579/5000][25/535][162950] Loss_D: -0.019610 Loss_G: -0.001567 Loss_D_real: -0.013987 Loss_D_fake 0.005623
[1579/5000][30/535][162951] Loss_D: -0.019833 Loss_G: 0.022970 Loss_D_real: -0.028783 Loss_D_fake -0.008949
[1579/5000][35/535][162952] Loss_D: -0.018481 Loss_G: 0.003623 Loss_D_real: -0.015003 Loss_D_fake 0.003479
[1579/5000][40/535][162953] Loss_D: -0.018685 Loss_G: 0.010839 Loss_D_real: -0.014077 Loss_D_fake 0.004607
[1579/5000][45/535][162954] Loss_D: -0.019048 Loss_G: 0.001405 Loss_D_real: -0.002324 Loss_D_fake 0.016724
[1579/5000][50/535][162955] Loss_D: -0.019722 Loss_G: 0.003558 Loss_D_real: -0.023730 Loss_D_fake -0.004008
[1579/5000][55/535][162956] Loss_D: -0.019423 Loss_G: -0.000128 Loss_D_real: -0.017046 Loss_D_fake 0.002377
[1579/5000][60/535][162957] Loss_D: -0.019108 Loss_G: -0.001733 Loss_D_real: -0.016127 Loss_D_fake 0.002981
[1579/5000][65/535][162958] Loss_D: -0.019351 Loss_G: 0.011640 Loss_D_real: -0.028138 Loss_D_fake -0.008786
[1579/5000][70/535][162959] Loss_D: -0.018543 Loss_G: 0.004178 Loss_D_real: -0.013200 Loss_D_fake 0.005343
[1579/5000][75/535][162960] Loss_D: -0.020131 Loss_G: 0.003483 Loss_D_real: -0.020895 Loss_D_fake -0.000765
[1579/5000][80/535][162961] Loss_D: -0.020745 Loss_G: 0.010913 Loss_D_real: -0.022092 Loss_D_fake -0.001346
[1579/5000][85/535][162962] Loss_D: -0.018329 Loss_G: -0.008301 Loss_D_real: -0.015639 Loss_D_fake 0.002690
[1579/5000][90/535][162963] Loss_D: -0.018795 Loss_G: -0.003487 Loss_D_real: -0.011695 Loss_D_fake 0.007100
[1579/5000][95/535][162964] Loss_D: -0.019889 Loss_G: 0.018735 Loss_D_real: -0.005497 Loss_D_fake 0.014393
[1579/5000][100/535][162965] Loss_D: -0.020590 Loss_G: -0.003247 Loss_D_real: -0.016156 Loss_D_fake 0.004434
[1579/5000][105/535][162966] Loss_D: -0.019612 Loss_G: 0.019385 Loss_D_real: -0.021551 Loss_D_fake -0.001939
[1579/5000][110/535][162967] Loss_D: -0.017885 Loss_G: 0.001731 Loss_D_real: -0.030671 Loss_D_fake -0.012786
[1579/5000][115/535][162968] Loss_D: -0.020953 Loss_G: -0.001489 Loss_D_real: -0.020698 Loss_D_fake 0.000255
[1579/5000][120/535][162969] Loss_D: -0.020486 Loss_G: 0.009723 Loss_D_real: -0.023606 Loss_D_fake -0.003120
[1579/5000][125/535][162970] Loss_D: -0.020775 Loss_G: 0.010996 Loss_D_real: -0.012963 Loss_D_fake 0.007812
[1579/5000][130/535][162971] Loss_D: -0.020258 Loss_G: 0.009277 Loss_D_real: -0.013263 Loss_D_fake 0.006995
[1579/5000][135/535][162972] Loss_D: -0.019163 Loss_G: 0.019614 Loss_D_real: -0.028744 Loss_D_fake -0.009581
[1579/5000][140/535][162973] Loss_D: -0.019018 Loss_G: 0.002817 Loss_D_real: -0.018720 Loss_D_fake 0.000297
[1579/5000][145/535][162974] Loss_D: -0.018965 Loss_G: 0.011058 Loss_D_real: -0.016804 Loss_D_fake 0.002161
[1579/5000][150/535][162975] Loss_D: -0.020576 Loss_G: 0.012308 Loss_D_real: -0.015290 Loss_D_fake 0.005286
[1579/5000][155/535][162976] Loss_D: -0.020194 Loss_G: -0.004557 Loss_D_real: -0.005689 Loss_D_fake 0.014504
[1579/5000][160/535][162977] Loss_D: -0.020102 Loss_G: 0.019061 Loss_D_real: -0.025350 Loss_D_fake -0.005248
[1579/5000][165/535][162978] Loss_D: -0.019898 Loss_G: 0.020919 Loss_D_real: -0.036224 Loss_D_fake -0.016326
[1579/5000][170/535][162979] Loss_D: -0.020299 Loss_G: -0.005701 Loss_D_real: -0.010425 Loss_D_fake 0.009874
[1579/5000][175/535][162980] Loss_D: -0.019982 Loss_G: -0.002033 Loss_D_real: -0.004844 Loss_D_fake 0.015138
[1579/5000][180/535][162981] Loss_D: -0.018796 Loss_G: 0.016838 Loss_D_real: -0.020099 Loss_D_fake -0.001303
[1579/5000][185/535][162982] Loss_D: -0.018659 Loss_G: 0.013555 Loss_D_real: -0.029543 Loss_D_fake -0.010884
[1579/5000][190/535][162983] Loss_D: -0.020165 Loss_G: -0.007330 Loss_D_real: -0.028596 Loss_D_fake -0.008431
[1579/5000][195/535][162984] Loss_D: -0.021148 Loss_G: 0.007421 Loss_D_real: -0.010362 Loss_D_fake 0.010786
[1579/5000][200/535][162985] Loss_D: -0.017519 Loss_G: 0.035747 Loss_D_real: -0.028079 Loss_D_fake -0.010560
[1579/5000][205/535][162986] Loss_D: -0.017993 Loss_G: 0.001053 Loss_D_real: -0.012654 Loss_D_fake 0.005339
[1579/5000][210/535][162987] Loss_D: -0.017189 Loss_G: -0.020403 Loss_D_real: -0.000687 Loss_D_fake 0.016503
[1579/5000][215/535][162988] Loss_D: -0.018940 Loss_G: 0.009915 Loss_D_real: -0.025271 Loss_D_fake -0.006332
[1579/5000][220/535][162989] Loss_D: -0.018771 Loss_G: 0.012525 Loss_D_real: -0.025443 Loss_D_fake -0.006672
[1579/5000][225/535][162990] Loss_D: -0.019319 Loss_G: 0.014629 Loss_D_real: -0.023529 Loss_D_fake -0.004210
[1579/5000][230/535][162991] Loss_D: -0.018431 Loss_G: -0.008499 Loss_D_real: -0.022767 Loss_D_fake -0.004336
[1579/5000][235/535][162992] Loss_D: -0.020171 Loss_G: -0.013645 Loss_D_real: -0.009679 Loss_D_fake 0.010492
[1579/5000][240/535][162993] Loss_D: -0.018262 Loss_G: 0.005143 Loss_D_real: -0.009192 Loss_D_fake 0.009070
[1579/5000][245/535][162994] Loss_D: -0.019799 Loss_G: 0.021585 Loss_D_real: -0.023533 Loss_D_fake -0.003734
[1579/5000][250/535][162995] Loss_D: -0.019145 Loss_G: 0.007899 Loss_D_real: -0.008599 Loss_D_fake 0.010546
[1579/5000][255/535][162996] Loss_D: -0.020965 Loss_G: 0.003081 Loss_D_real: -0.026496 Loss_D_fake -0.005531
[1579/5000][260/535][162997] Loss_D: -0.019053 Loss_G: 0.008686 Loss_D_real: -0.004745 Loss_D_fake 0.014308
[1579/5000][265/535][162998] Loss_D: -0.019269 Loss_G: 0.018316 Loss_D_real: -0.019670 Loss_D_fake -0.000401
[1579/5000][270/535][162999] Loss_D: -0.019227 Loss_G: -0.018235 Loss_D_real: -0.005096 Loss_D_fake 0.014131
[1579/5000][275/535][163000] Loss_D: -0.018166 Loss_G: 0.023265 Loss_D_real: -0.028650 Loss_D_fake -0.010483
[1579/5000][375/535][163001] Loss_D: -0.021961 Loss_G: 0.028686 Loss_D_real: -0.031765 Loss_D_fake -0.009804
[1579/5000][380/535][163002] Loss_D: -0.018351 Loss_G: -0.001782 Loss_D_real: -0.010536 Loss_D_fake 0.007815
[1579/5000][385/535][163003] Loss_D: -0.017607 Loss_G: 0.007316 Loss_D_real: -0.013952 Loss_D_fake 0.003654
[1579/5000][390/535][163004] Loss_D: -0.018571 Loss_G: 0.006501 Loss_D_real: -0.027471 Loss_D_fake -0.008899
[1579/5000][395/535][163005] Loss_D: -0.017381 Loss_G: -0.008868 Loss_D_real: -0.010537 Loss_D_fake 0.006844
[1579/5000][400/535][163006] Loss_D: -0.018805 Loss_G: 0.007545 Loss_D_real: -0.005875 Loss_D_fake 0.012930
[1579/5000][405/535][163007] Loss_D: -0.018557 Loss_G: 0.007376 Loss_D_real: -0.012870 Loss_D_fake 0.005686
[1579/5000][410/535][163008] Loss_D: -0.019961 Loss_G: 0.010245 Loss_D_real: -0.013206 Loss_D_fake 0.006755
[1579/5000][415/535][163009] Loss_D: -0.018745 Loss_G: -0.002053 Loss_D_real: -0.015545 Loss_D_fake 0.003201
[1579/5000][420/535][163010] Loss_D: -0.018953 Loss_G: 0.018429 Loss_D_real: -0.024615 Loss_D_fake -0.005662
[1579/5000][425/535][163011] Loss_D: -0.018285 Loss_G: -0.004162 Loss_D_real: -0.010333 Loss_D_fake 0.007952
[1579/5000][430/535][163012] Loss_D: -0.018714 Loss_G: 0.001875 Loss_D_real: -0.015242 Loss_D_fake 0.003471
[1579/5000][435/535][163013] Loss_D: -0.019497 Loss_G: 0.000006 Loss_D_real: -0.006976 Loss_D_fake 0.012522
[1579/5000][440/535][163014] Loss_D: -0.017395 Loss_G: 0.017415 Loss_D_real: -0.025561 Loss_D_fake -0.008166
[1579/5000][445/535][163015] Loss_D: -0.018356 Loss_G: 0.010488 Loss_D_real: -0.019750 Loss_D_fake -0.001395
[1579/5000][450/535][163016] Loss_D: -0.018258 Loss_G: 0.011759 Loss_D_real: -0.017354 Loss_D_fake 0.000904
[1579/5000][455/535][163017] Loss_D: -0.018794 Loss_G: 0.015648 Loss_D_real: -0.029849 Loss_D_fake -0.011054
[1579/5000][460/535][163018] Loss_D: -0.018781 Loss_G: 0.013055 Loss_D_real: -0.025155 Loss_D_fake -0.006375
[1579/5000][465/535][163019] Loss_D: -0.018828 Loss_G: 0.014791 Loss_D_real: -0.018957 Loss_D_fake -0.000129
[1579/5000][470/535][163020] Loss_D: -0.019276 Loss_G: -0.009084 Loss_D_real: -0.001950 Loss_D_fake 0.017326
[1579/5000][475/535][163021] Loss_D: -0.018582 Loss_G: 0.015299 Loss_D_real: -0.015462 Loss_D_fake 0.003120
[1579/5000][480/535][163022] Loss_D: -0.018182 Loss_G: -0.010643 Loss_D_real: -0.009063 Loss_D_fake 0.009119
[1579/5000][485/535][163023] Loss_D: -0.019348 Loss_G: 0.004028 Loss_D_real: -0.009333 Loss_D_fake 0.010015
[1579/5000][490/535][163024] Loss_D: -0.016667 Loss_G: -0.021195 Loss_D_real: -0.000436 Loss_D_fake 0.016231
[1579/5000][495/535][163025] Loss_D: -0.017712 Loss_G: -0.008171 Loss_D_real: 0.001813 Loss_D_fake 0.019524
[1579/5000][500/535][163026] Loss_D: -0.020207 Loss_G: 0.020737 Loss_D_real: -0.011531 Loss_D_fake 0.008677
[1579/5000][505/535][163027] Loss_D: -0.018502 Loss_G: -0.010697 Loss_D_real: -0.006609 Loss_D_fake 0.011893
[1579/5000][510/535][163028] Loss_D: -0.019122 Loss_G: 0.008933 Loss_D_real: -0.020380 Loss_D_fake -0.001258
[1579/5000][515/535][163029] Loss_D: -0.018205 Loss_G: 0.010982 Loss_D_real: -0.026804 Loss_D_fake -0.008598
[1579/5000][520/535][163030] Loss_D: -0.017729 Loss_G: 0.021200 Loss_D_real: -0.025117 Loss_D_fake -0.007389
[1579/5000][525/535][163031] Loss_D: -0.018901 Loss_G: 0.018682 Loss_D_real: -0.024141 Loss_D_fake -0.005240
[1579/5000][530/535][163032] Loss_D: -0.019029 Loss_G: 0.012317 Loss_D_real: -0.015098 Loss_D_fake 0.003931
[1579/5000][535/535][163033] Loss_D: -0.018166 Loss_G: -0.010207 Loss_D_real: -0.014751 Loss_D_fake 0.003415
[1580/5000][5/535][163034] Loss_D: -0.019520 Loss_G: 0.000984 Loss_D_real: -0.017268 Loss_D_fake 0.002252
[1580/5000][10/535][163035] Loss_D: -0.019304 Loss_G: 0.007415 Loss_D_real: -0.018497 Loss_D_fake 0.000807
[1580/5000][15/535][163036] Loss_D: -0.019547 Loss_G: 0.009941 Loss_D_real: -0.034451 Loss_D_fake -0.014904
[1580/5000][20/535][163037] Loss_D: -0.019590 Loss_G: 0.009839 Loss_D_real: -0.015150 Loss_D_fake 0.004440
[1580/5000][25/535][163038] Loss_D: -0.018768 Loss_G: -0.001125 Loss_D_real: -0.018516 Loss_D_fake 0.000252
[1580/5000][30/535][163039] Loss_D: -0.018241 Loss_G: 0.029474 Loss_D_real: -0.018407 Loss_D_fake -0.000166
[1580/5000][35/535][163040] Loss_D: -0.018310 Loss_G: -0.012539 Loss_D_real: 0.001435 Loss_D_fake 0.019745
[1580/5000][40/535][163041] Loss_D: -0.019815 Loss_G: 0.011241 Loss_D_real: -0.023819 Loss_D_fake -0.004003
[1580/5000][45/535][163042] Loss_D: -0.016736 Loss_G: 0.024101 Loss_D_real: -0.027647 Loss_D_fake -0.010911
[1580/5000][50/535][163043] Loss_D: -0.018204 Loss_G: 0.013918 Loss_D_real: -0.017224 Loss_D_fake 0.000980
[1580/5000][55/535][163044] Loss_D: -0.019408 Loss_G: 0.000876 Loss_D_real: -0.007617 Loss_D_fake 0.011791
[1580/5000][60/535][163045] Loss_D: -0.018629 Loss_G: 0.007456 Loss_D_real: -0.015421 Loss_D_fake 0.003208
[1580/5000][65/535][163046] Loss_D: -0.020614 Loss_G: 0.003242 Loss_D_real: -0.026795 Loss_D_fake -0.006181
[1580/5000][70/535][163047] Loss_D: -0.019521 Loss_G: 0.013613 Loss_D_real: -0.024793 Loss_D_fake -0.005272
[1580/5000][75/535][163048] Loss_D: -0.020055 Loss_G: -0.009971 Loss_D_real: -0.001045 Loss_D_fake 0.019010
[1580/5000][80/535][163049] Loss_D: -0.021197 Loss_G: 0.008807 Loss_D_real: -0.016431 Loss_D_fake 0.004766
[1580/5000][85/535][163050] Loss_D: -0.019003 Loss_G: -0.011995 Loss_D_real: -0.001267 Loss_D_fake 0.017735
[1580/5000][90/535][163051] Loss_D: -0.019420 Loss_G: 0.015549 Loss_D_real: -0.019915 Loss_D_fake -0.000495
[1580/5000][95/535][163052] Loss_D: -0.019554 Loss_G: 0.029942 Loss_D_real: -0.029614 Loss_D_fake -0.010060
[1580/5000][100/535][163053] Loss_D: -0.019385 Loss_G: -0.008159 Loss_D_real: -0.010029 Loss_D_fake 0.009356
[1580/5000][105/535][163054] Loss_D: -0.019205 Loss_G: -0.001145 Loss_D_real: -0.023680 Loss_D_fake -0.004475
[1580/5000][110/535][163055] Loss_D: -0.020651 Loss_G: 0.013667 Loss_D_real: -0.007878 Loss_D_fake 0.012773
[1580/5000][115/535][163056] Loss_D: -0.019828 Loss_G: 0.012115 Loss_D_real: -0.024754 Loss_D_fake -0.004926
[1580/5000][120/535][163057] Loss_D: -0.019420 Loss_G: 0.010803 Loss_D_real: -0.011007 Loss_D_fake 0.008413
[1580/5000][125/535][163058] Loss_D: -0.018293 Loss_G: 0.015505 Loss_D_real: -0.022262 Loss_D_fake -0.003969
[1580/5000][130/535][163059] Loss_D: -0.018614 Loss_G: -0.003357 Loss_D_real: -0.003157 Loss_D_fake 0.015457
[1580/5000][135/535][163060] Loss_D: -0.018262 Loss_G: 0.009422 Loss_D_real: -0.020614 Loss_D_fake -0.002353
[1580/5000][140/535][163061] Loss_D: -0.020734 Loss_G: 0.010126 Loss_D_real: -0.026066 Loss_D_fake -0.005332
[1580/5000][145/535][163062] Loss_D: -0.018873 Loss_G: 0.020617 Loss_D_real: -0.027901 Loss_D_fake -0.009027
[1580/5000][150/535][163063] Loss_D: -0.019819 Loss_G: 0.001093 Loss_D_real: -0.020520 Loss_D_fake -0.000702
[1580/5000][155/535][163064] Loss_D: -0.020092 Loss_G: 0.001984 Loss_D_real: -0.031363 Loss_D_fake -0.011270
[1580/5000][160/535][163065] Loss_D: -0.019933 Loss_G: 0.016638 Loss_D_real: -0.007531 Loss_D_fake 0.012402
[1580/5000][165/535][163066] Loss_D: -0.019743 Loss_G: -0.012317 Loss_D_real: -0.017912 Loss_D_fake 0.001832
[1580/5000][170/535][163067] Loss_D: -0.017868 Loss_G: 0.004383 Loss_D_real: -0.005306 Loss_D_fake 0.012562
[1580/5000][175/535][163068] Loss_D: -0.021730 Loss_G: 0.006094 Loss_D_real: -0.014470 Loss_D_fake 0.007259
[1580/5000][180/535][163069] Loss_D: -0.019428 Loss_G: -0.008318 Loss_D_real: -0.021619 Loss_D_fake -0.002191
[1580/5000][185/535][163070] Loss_D: -0.019169 Loss_G: 0.001750 Loss_D_real: -0.018090 Loss_D_fake 0.001079
[1580/5000][190/535][163071] Loss_D: -0.018312 Loss_G: 0.002830 Loss_D_real: -0.014562 Loss_D_fake 0.003750
[1580/5000][195/535][163072] Loss_D: -0.019504 Loss_G: 0.001073 Loss_D_real: -0.017619 Loss_D_fake 0.001885
[1580/5000][200/535][163073] Loss_D: -0.018466 Loss_G: 0.017394 Loss_D_real: -0.019749 Loss_D_fake -0.001284
[1580/5000][205/535][163074] Loss_D: -0.019921 Loss_G: 0.026014 Loss_D_real: -0.015858 Loss_D_fake 0.004063
[1580/5000][210/535][163075] Loss_D: -0.019996 Loss_G: 0.000443 Loss_D_real: -0.002820 Loss_D_fake 0.017175
[1580/5000][215/535][163076] Loss_D: -0.020255 Loss_G: 0.006854 Loss_D_real: 0.002588 Loss_D_fake 0.022842
[1580/5000][220/535][163077] Loss_D: -0.019774 Loss_G: -0.014313 Loss_D_real: -0.009545 Loss_D_fake 0.010228
[1580/5000][225/535][163078] Loss_D: -0.019078 Loss_G: 0.022401 Loss_D_real: -0.020701 Loss_D_fake -0.001622
[1580/5000][230/535][163079] Loss_D: -0.021382 Loss_G: 0.020193 Loss_D_real: -0.018092 Loss_D_fake 0.003290
[1580/5000][235/535][163080] Loss_D: -0.020360 Loss_G: 0.003007 Loss_D_real: -0.020505 Loss_D_fake -0.000145
[1580/5000][240/535][163081] Loss_D: -0.020588 Loss_G: 0.012679 Loss_D_real: -0.007366 Loss_D_fake 0.013222
[1580/5000][245/535][163082] Loss_D: -0.020328 Loss_G: 0.007451 Loss_D_real: -0.018079 Loss_D_fake 0.002249
[1580/5000][250/535][163083] Loss_D: -0.019376 Loss_G: 0.014452 Loss_D_real: -0.023429 Loss_D_fake -0.004053
[1580/5000][255/535][163084] Loss_D: -0.019973 Loss_G: 0.008589 Loss_D_real: -0.008174 Loss_D_fake 0.011799
[1580/5000][260/535][163085] Loss_D: -0.019767 Loss_G: -0.003634 Loss_D_real: -0.013665 Loss_D_fake 0.006102
[1580/5000][265/535][163086] Loss_D: -0.019361 Loss_G: 0.007269 Loss_D_real: -0.010613 Loss_D_fake 0.008748
[1580/5000][270/535][163087] Loss_D: -0.019256 Loss_G: 0.014777 Loss_D_real: -0.005489 Loss_D_fake 0.013767
[1580/5000][275/535][163088] Loss_D: -0.018859 Loss_G: 0.012490 Loss_D_real: -0.016006 Loss_D_fake 0.002852
[1580/5000][280/535][163089] Loss_D: -0.018936 Loss_G: 0.014906 Loss_D_real: -0.035797 Loss_D_fake -0.016861
[1580/5000][285/535][163090] Loss_D: -0.020147 Loss_G: 0.018320 Loss_D_real: -0.015527 Loss_D_fake 0.004620
[1580/5000][290/535][163091] Loss_D: -0.018105 Loss_G: 0.009078 Loss_D_real: -0.020633 Loss_D_fake -0.002529
[1580/5000][295/535][163092] Loss_D: -0.017702 Loss_G: 0.027003 Loss_D_real: -0.031937 Loss_D_fake -0.014235
[1580/5000][300/535][163093] Loss_D: -0.018308 Loss_G: -0.017206 Loss_D_real: -0.004744 Loss_D_fake 0.013564
[1580/5000][305/535][163094] Loss_D: -0.019648 Loss_G: 0.012540 Loss_D_real: -0.018544 Loss_D_fake 0.001104
[1580/5000][310/535][163095] Loss_D: -0.018465 Loss_G: 0.000650 Loss_D_real: -0.017277 Loss_D_fake 0.001188
[1580/5000][315/535][163096] Loss_D: -0.019144 Loss_G: 0.024002 Loss_D_real: -0.029300 Loss_D_fake -0.010156
[1580/5000][320/535][163097] Loss_D: -0.021026 Loss_G: 0.005620 Loss_D_real: -0.021310 Loss_D_fake -0.000284
[1580/5000][325/535][163098] Loss_D: -0.019309 Loss_G: 0.017095 Loss_D_real: -0.009109 Loss_D_fake 0.010199
[1580/5000][330/535][163099] Loss_D: -0.020163 Loss_G: 0.002980 Loss_D_real: -0.021162 Loss_D_fake -0.000999
[1580/5000][335/535][163100] Loss_D: -0.018965 Loss_G: 0.005457 Loss_D_real: -0.016268 Loss_D_fake 0.002697
[1580/5000][340/535][163101] Loss_D: -0.019064 Loss_G: -0.009845 Loss_D_real: -0.011378 Loss_D_fake 0.007686
[1580/5000][345/535][163102] Loss_D: -0.019483 Loss_G: 0.003834 Loss_D_real: -0.021028 Loss_D_fake -0.001546
[1580/5000][350/535][163103] Loss_D: -0.018738 Loss_G: 0.009580 Loss_D_real: -0.025903 Loss_D_fake -0.007165
[1580/5000][355/535][163104] Loss_D: -0.020470 Loss_G: -0.002680 Loss_D_real: -0.016066 Loss_D_fake 0.004404
[1580/5000][360/535][163105] Loss_D: -0.018351 Loss_G: 0.014930 Loss_D_real: -0.024428 Loss_D_fake -0.006076
[1580/5000][365/535][163106] Loss_D: -0.018466 Loss_G: 0.018230 Loss_D_real: -0.032922 Loss_D_fake -0.014456
[1580/5000][370/535][163107] Loss_D: -0.019215 Loss_G: 0.021603 Loss_D_real: -0.015742 Loss_D_fake 0.003472
[1580/5000][375/535][163108] Loss_D: -0.019705 Loss_G: -0.000743 Loss_D_real: -0.011398 Loss_D_fake 0.008307
[1580/5000][380/535][163109] Loss_D: -0.018832 Loss_G: 0.010679 Loss_D_real: -0.036796 Loss_D_fake -0.017964
[1580/5000][385/535][163110] Loss_D: -0.018261 Loss_G: -0.004944 Loss_D_real: -0.017827 Loss_D_fake 0.000434
[1580/5000][390/535][163111] Loss_D: -0.018264 Loss_G: 0.013676 Loss_D_real: -0.028056 Loss_D_fake -0.009792
[1580/5000][395/535][163112] Loss_D: -0.019070 Loss_G: 0.010620 Loss_D_real: -0.032309 Loss_D_fake -0.013240
[1580/5000][400/535][163113] Loss_D: -0.017555 Loss_G: 0.017461 Loss_D_real: -0.034378 Loss_D_fake -0.016823
[1580/5000][405/535][163114] Loss_D: -0.020065 Loss_G: 0.011886 Loss_D_real: -0.022495 Loss_D_fake -0.002430
[1580/5000][410/535][163115] Loss_D: -0.019936 Loss_G: -0.011603 Loss_D_real: -0.002609 Loss_D_fake 0.017327
[1580/5000][415/535][163116] Loss_D: -0.018706 Loss_G: 0.014528 Loss_D_real: -0.008100 Loss_D_fake 0.010606
[1580/5000][420/535][163117] Loss_D: -0.018570 Loss_G: -0.010778 Loss_D_real: -0.019759 Loss_D_fake -0.001189
[1580/5000][425/535][163118] Loss_D: -0.019592 Loss_G: -0.005057 Loss_D_real: -0.002792 Loss_D_fake 0.016800
[1580/5000][430/535][163119] Loss_D: -0.019964 Loss_G: 0.034025 Loss_D_real: -0.022283 Loss_D_fake -0.002319
[1580/5000][435/535][163120] Loss_D: -0.018565 Loss_G: 0.015933 Loss_D_real: -0.011682 Loss_D_fake 0.006883
[1580/5000][440/535][163121] Loss_D: -0.018687 Loss_G: 0.011732 Loss_D_real: -0.023888 Loss_D_fake -0.005200
[1580/5000][445/535][163122] Loss_D: -0.020176 Loss_G: -0.007692 Loss_D_real: -0.005755 Loss_D_fake 0.014421
[1580/5000][450/535][163123] Loss_D: -0.020197 Loss_G: -0.003523 Loss_D_real: -0.017443 Loss_D_fake 0.002753
[1580/5000][455/535][163124] Loss_D: -0.020239 Loss_G: 0.010594 Loss_D_real: -0.014062 Loss_D_fake 0.006177
[1580/5000][460/535][163125] Loss_D: -0.018913 Loss_G: 0.001638 Loss_D_real: -0.008707 Loss_D_fake 0.010206
[1580/5000][465/535][163126] Loss_D: -0.018919 Loss_G: -0.011060 Loss_D_real: 0.002420 Loss_D_fake 0.021339
[1580/5000][470/535][163127] Loss_D: -0.019112 Loss_G: -0.002758 Loss_D_real: -0.020430 Loss_D_fake -0.001318
[1580/5000][475/535][163128] Loss_D: -0.019095 Loss_G: 0.006144 Loss_D_real: -0.030008 Loss_D_fake -0.010913
[1580/5000][480/535][163129] Loss_D: -0.019635 Loss_G: 0.019389 Loss_D_real: -0.019219 Loss_D_fake 0.000417
[1580/5000][485/535][163130] Loss_D: -0.019020 Loss_G: -0.009554 Loss_D_real: -0.003355 Loss_D_fake 0.015665
[1580/5000][490/535][163131] Loss_D: -0.019379 Loss_G: 0.003807 Loss_D_real: -0.023705 Loss_D_fake -0.004326
[1580/5000][495/535][163132] Loss_D: -0.019277 Loss_G: 0.015249 Loss_D_real: -0.025199 Loss_D_fake -0.005922
[1580/5000][500/535][163133] Loss_D: -0.019659 Loss_G: 0.008788 Loss_D_real: -0.009412 Loss_D_fake 0.010246
[1580/5000][505/535][163134] Loss_D: -0.019594 Loss_G: 0.021229 Loss_D_real: -0.020644 Loss_D_fake -0.001051
[1580/5000][510/535][163135] Loss_D: -0.018290 Loss_G: 0.026898 Loss_D_real: -0.028320 Loss_D_fake -0.010030
[1580/5000][515/535][163136] Loss_D: -0.018275 Loss_G: 0.023102 Loss_D_real: -0.037628 Loss_D_fake -0.019352
[1580/5000][520/535][163137] Loss_D: -0.017108 Loss_G: 0.019283 Loss_D_real: -0.029147 Loss_D_fake -0.012039
[1580/5000][525/535][163138] Loss_D: -0.018586 Loss_G: 0.005342 Loss_D_real: -0.028643 Loss_D_fake -0.010057
[1580/5000][530/535][163139] Loss_D: -0.019523 Loss_G: 0.006335 Loss_D_real: -0.022030 Loss_D_fake -0.002506
[1580/5000][535/535][163140] Loss_D: -0.022572 Loss_G: 0.009770 Loss_D_real: -0.016565 Loss_D_fake 0.006007
[1581/5000][5/535][163141] Loss_D: -0.020176 Loss_G: 0.012783 Loss_D_real: -0.017808 Loss_D_fake 0.002368
[1581/5000][10/535][163142] Loss_D: -0.019253 Loss_G: 0.018916 Loss_D_real: -0.009443 Loss_D_fake 0.009811
[1581/5000][15/535][163143] Loss_D: -0.020083 Loss_G: -0.003603 Loss_D_real: -0.015634 Loss_D_fake 0.004450
[1581/5000][20/535][163144] Loss_D: -0.019796 Loss_G: 0.000488 Loss_D_real: -0.014474 Loss_D_fake 0.005322
[1581/5000][25/535][163145] Loss_D: -0.019004 Loss_G: 0.009856 Loss_D_real: -0.027920 Loss_D_fake -0.008916
[1581/5000][30/535][163146] Loss_D: -0.018667 Loss_G: 0.015812 Loss_D_real: -0.026777 Loss_D_fake -0.008110
[1581/5000][35/535][163147] Loss_D: -0.018065 Loss_G: -0.014967 Loss_D_real: -0.012957 Loss_D_fake 0.005108
[1581/5000][40/535][163148] Loss_D: -0.018127 Loss_G: 0.006064 Loss_D_real: -0.022858 Loss_D_fake -0.004730
[1581/5000][45/535][163149] Loss_D: -0.019676 Loss_G: 0.021643 Loss_D_real: -0.036814 Loss_D_fake -0.017138
[1581/5000][50/535][163150] Loss_D: -0.019437 Loss_G: -0.011508 Loss_D_real: -0.009809 Loss_D_fake 0.009628
[1581/5000][55/535][163151] Loss_D: -0.018435 Loss_G: 0.005470 Loss_D_real: -0.030974 Loss_D_fake -0.012539
[1581/5000][60/535][163152] Loss_D: -0.019453 Loss_G: 0.005985 Loss_D_real: -0.005256 Loss_D_fake 0.014197
[1581/5000][65/535][163153] Loss_D: -0.019663 Loss_G: -0.004075 Loss_D_real: -0.020385 Loss_D_fake -0.000722
[1581/5000][70/535][163154] Loss_D: -0.019998 Loss_G: 0.006295 Loss_D_real: -0.007579 Loss_D_fake 0.012419
[1581/5000][75/535][163155] Loss_D: -0.020138 Loss_G: 0.009445 Loss_D_real: -0.013163 Loss_D_fake 0.006975
[1581/5000][80/535][163156] Loss_D: -0.019237 Loss_G: 0.011868 Loss_D_real: -0.018477 Loss_D_fake 0.000760
[1581/5000][85/535][163157] Loss_D: -0.019286 Loss_G: -0.000832 Loss_D_real: -0.004948 Loss_D_fake 0.014339
[1581/5000][90/535][163158] Loss_D: -0.021046 Loss_G: 0.025228 Loss_D_real: -0.018212 Loss_D_fake 0.002835
[1581/5000][95/535][163159] Loss_D: -0.019366 Loss_G: 0.014504 Loss_D_real: -0.022681 Loss_D_fake -0.003315
[1581/5000][100/535][163160] Loss_D: -0.018997 Loss_G: 0.025450 Loss_D_real: -0.035148 Loss_D_fake -0.016151
[1581/5000][105/535][163161] Loss_D: -0.019190 Loss_G: -0.005580 Loss_D_real: -0.015868 Loss_D_fake 0.003322
[1581/5000][110/535][163162] Loss_D: -0.019018 Loss_G: 0.012394 Loss_D_real: -0.021180 Loss_D_fake -0.002163
[1581/5000][115/535][163163] Loss_D: -0.019452 Loss_G: 0.020002 Loss_D_real: -0.019412 Loss_D_fake 0.000040
[1581/5000][120/535][163164] Loss_D: -0.019203 Loss_G: 0.004646 Loss_D_real: -0.012309 Loss_D_fake 0.006894
[1581/5000][125/535][163165] Loss_D: -0.017723 Loss_G: 0.015957 Loss_D_real: -0.035214 Loss_D_fake -0.017491
[1581/5000][130/535][163166] Loss_D: -0.019936 Loss_G: 0.008455 Loss_D_real: -0.014540 Loss_D_fake 0.005396
[1581/5000][135/535][163167] Loss_D: -0.018818 Loss_G: -0.002348 Loss_D_real: -0.029460 Loss_D_fake -0.010642
[1581/5000][140/535][163168] Loss_D: -0.020314 Loss_G: 0.002563 Loss_D_real: -0.007785 Loss_D_fake 0.012529
[1581/5000][145/535][163169] Loss_D: -0.018529 Loss_G: 0.001055 Loss_D_real: 0.001994 Loss_D_fake 0.020522
[1581/5000][150/535][163170] Loss_D: -0.018251 Loss_G: 0.015688 Loss_D_real: -0.019619 Loss_D_fake -0.001368
[1581/5000][155/535][163171] Loss_D: -0.018927 Loss_G: 0.012676 Loss_D_real: -0.026191 Loss_D_fake -0.007264
[1581/5000][160/535][163172] Loss_D: -0.020717 Loss_G: 0.005599 Loss_D_real: -0.019567 Loss_D_fake 0.001151
[1581/5000][165/535][163173] Loss_D: -0.019214 Loss_G: 0.004768 Loss_D_real: -0.004562 Loss_D_fake 0.014651
[1581/5000][170/535][163174] Loss_D: -0.019858 Loss_G: 0.012962 Loss_D_real: -0.016488 Loss_D_fake 0.003370
[1581/5000][175/535][163175] Loss_D: -0.019191 Loss_G: -0.012931 Loss_D_real: -0.010366 Loss_D_fake 0.008826
[1581/5000][180/535][163176] Loss_D: -0.020232 Loss_G: -0.006842 Loss_D_real: -0.006384 Loss_D_fake 0.013848
[1581/5000][185/535][163177] Loss_D: -0.018576 Loss_G: 0.005354 Loss_D_real: -0.013892 Loss_D_fake 0.004684
[1581/5000][190/535][163178] Loss_D: -0.018620 Loss_G: -0.001641 Loss_D_real: -0.012819 Loss_D_fake 0.005801
[1581/5000][195/535][163179] Loss_D: -0.019089 Loss_G: 0.018102 Loss_D_real: -0.030492 Loss_D_fake -0.011402
[1581/5000][200/535][163180] Loss_D: -0.017912 Loss_G: 0.000880 Loss_D_real: -0.018191 Loss_D_fake -0.000279
[1581/5000][205/535][163181] Loss_D: -0.019601 Loss_G: 0.008602 Loss_D_real: -0.007996 Loss_D_fake 0.011605
[1581/5000][210/535][163182] Loss_D: -0.017366 Loss_G: 0.024301 Loss_D_real: -0.019078 Loss_D_fake -0.001712
[1581/5000][215/535][163183] Loss_D: -0.017950 Loss_G: 0.019933 Loss_D_real: -0.026154 Loss_D_fake -0.008204
[1581/5000][220/535][163184] Loss_D: -0.019008 Loss_G: 0.000322 Loss_D_real: -0.023985 Loss_D_fake -0.004978
[1581/5000][225/535][163185] Loss_D: -0.019771 Loss_G: 0.006913 Loss_D_real: -0.015585 Loss_D_fake 0.004186
[1581/5000][230/535][163186] Loss_D: -0.019390 Loss_G: 0.007641 Loss_D_real: -0.026976 Loss_D_fake -0.007586
[1581/5000][235/535][163187] Loss_D: -0.019700 Loss_G: 0.015129 Loss_D_real: -0.012885 Loss_D_fake 0.006815
[1581/5000][240/535][163188] Loss_D: -0.018553 Loss_G: 0.008970 Loss_D_real: -0.012009 Loss_D_fake 0.006544
[1581/5000][245/535][163189] Loss_D: -0.018461 Loss_G: -0.009225 Loss_D_real: -0.003013 Loss_D_fake 0.015448
[1581/5000][250/535][163190] Loss_D: -0.018236 Loss_G: 0.002545 Loss_D_real: -0.005737 Loss_D_fake 0.012499
[1581/5000][255/535][163191] Loss_D: -0.018409 Loss_G: -0.002172 Loss_D_real: -0.017700 Loss_D_fake 0.000709
[1581/5000][260/535][163192] Loss_D: -0.019737 Loss_G: 0.024410 Loss_D_real: -0.016637 Loss_D_fake 0.003100
[1581/5000][265/535][163193] Loss_D: -0.018599 Loss_G: 0.010121 Loss_D_real: -0.022066 Loss_D_fake -0.003467
[1581/5000][270/535][163194] Loss_D: -0.018213 Loss_G: 0.008045 Loss_D_real: -0.018972 Loss_D_fake -0.000759
[1581/5000][275/535][163195] Loss_D: -0.018524 Loss_G: -0.008150 Loss_D_real: -0.013215 Loss_D_fake 0.005309
[1581/5000][280/535][163196] Loss_D: -0.018644 Loss_G: 0.014125 Loss_D_real: -0.038152 Loss_D_fake -0.019507
[1581/5000][285/535][163197] Loss_D: -0.018311 Loss_G: -0.005665 Loss_D_real: -0.002354 Loss_D_fake 0.015957
[1581/5000][290/535][163198] Loss_D: -0.018295 Loss_G: 0.019138 Loss_D_real: -0.026553 Loss_D_fake -0.008258
[1581/5000][295/535][163199] Loss_D: -0.018639 Loss_G: 0.000037 Loss_D_real: -0.014914 Loss_D_fake 0.003725
[1581/5000][300/535][163200] Loss_D: -0.018556 Loss_G: 0.011697 Loss_D_real: -0.013124 Loss_D_fake 0.005432
[1581/5000][305/535][163201] Loss_D: -0.017892 Loss_G: 0.010048 Loss_D_real: -0.011358 Loss_D_fake 0.006534
[1581/5000][310/535][163202] Loss_D: -0.018790 Loss_G: 0.012634 Loss_D_real: -0.013651 Loss_D_fake 0.005138
[1581/5000][315/535][163203] Loss_D: -0.020525 Loss_G: 0.013179 Loss_D_real: -0.014218 Loss_D_fake 0.006307
[1581/5000][320/535][163204] Loss_D: -0.018774 Loss_G: 0.009549 Loss_D_real: -0.033396 Loss_D_fake -0.014622
[1581/5000][325/535][163205] Loss_D: -0.018740 Loss_G: 0.020622 Loss_D_real: -0.023373 Loss_D_fake -0.004633
[1581/5000][330/535][163206] Loss_D: -0.021477 Loss_G: -0.009496 Loss_D_real: -0.021454 Loss_D_fake 0.000023
[1581/5000][335/535][163207] Loss_D: -0.020537 Loss_G: 0.005391 Loss_D_real: -0.016337 Loss_D_fake 0.004201
[1581/5000][340/535][163208] Loss_D: -0.018880 Loss_G: -0.006148 Loss_D_real: -0.017831 Loss_D_fake 0.001049
[1581/5000][345/535][163209] Loss_D: -0.019091 Loss_G: 0.022737 Loss_D_real: -0.022833 Loss_D_fake -0.003742
[1581/5000][350/535][163210] Loss_D: -0.018467 Loss_G: 0.033710 Loss_D_real: -0.033995 Loss_D_fake -0.015528
[1581/5000][355/535][163211] Loss_D: -0.018381 Loss_G: 0.023970 Loss_D_real: -0.034665 Loss_D_fake -0.016284
[1581/5000][360/535][163212] Loss_D: -0.019948 Loss_G: -0.007263 Loss_D_real: -0.009816 Loss_D_fake 0.010131
[1581/5000][365/535][163213] Loss_D: -0.019027 Loss_G: -0.011029 Loss_D_real: -0.012710 Loss_D_fake 0.006317
[1581/5000][370/535][163214] Loss_D: -0.018020 Loss_G: 0.022927 Loss_D_real: -0.028448 Loss_D_fake -0.010428
[1581/5000][375/535][163215] Loss_D: -0.018918 Loss_G: 0.017172 Loss_D_real: -0.034725 Loss_D_fake -0.015806
[1581/5000][380/535][163216] Loss_D: -0.018519 Loss_G: -0.004102 Loss_D_real: -0.004564 Loss_D_fake 0.013955
[1581/5000][385/535][163217] Loss_D: -0.019445 Loss_G: -0.000959 Loss_D_real: -0.015560 Loss_D_fake 0.003885
[1581/5000][390/535][163218] Loss_D: -0.018609 Loss_G: 0.012806 Loss_D_real: -0.025855 Loss_D_fake -0.007246
[1581/5000][395/535][163219] Loss_D: -0.020685 Loss_G: -0.011286 Loss_D_real: -0.016676 Loss_D_fake 0.004009
[1581/5000][400/535][163220] Loss_D: -0.018817 Loss_G: 0.021703 Loss_D_real: -0.019913 Loss_D_fake -0.001096
[1581/5000][405/535][163221] Loss_D: -0.019103 Loss_G: 0.003603 Loss_D_real: -0.005420 Loss_D_fake 0.013683
[1581/5000][410/535][163222] Loss_D: -0.019224 Loss_G: 0.001130 Loss_D_real: -0.018175 Loss_D_fake 0.001050
[1581/5000][415/535][163223] Loss_D: -0.019966 Loss_G: 0.000487 Loss_D_real: -0.005229 Loss_D_fake 0.014737
[1581/5000][420/535][163224] Loss_D: -0.020232 Loss_G: 0.004856 Loss_D_real: -0.014558 Loss_D_fake 0.005673
[1581/5000][425/535][163225] Loss_D: -0.018867 Loss_G: 0.000324 Loss_D_real: -0.014831 Loss_D_fake 0.004036
[1581/5000][430/535][163226] Loss_D: -0.019662 Loss_G: 0.017703 Loss_D_real: -0.024307 Loss_D_fake -0.004645
[1581/5000][435/535][163227] Loss_D: -0.018662 Loss_G: 0.021865 Loss_D_real: -0.021324 Loss_D_fake -0.002663
[1581/5000][440/535][163228] Loss_D: -0.019158 Loss_G: -0.003944 Loss_D_real: -0.020010 Loss_D_fake -0.000852
[1581/5000][445/535][163229] Loss_D: -0.020737 Loss_G: -0.005659 Loss_D_real: -0.016251 Loss_D_fake 0.004486
[1581/5000][450/535][163230] Loss_D: -0.017950 Loss_G: 0.016814 Loss_D_real: -0.024343 Loss_D_fake -0.006394
[1581/5000][455/535][163231] Loss_D: -0.019996 Loss_G: 0.018358 Loss_D_real: -0.025209 Loss_D_fake -0.005213
[1581/5000][460/535][163232] Loss_D: -0.020511 Loss_G: 0.009455 Loss_D_real: -0.021324 Loss_D_fake -0.000813
[1581/5000][465/535][163233] Loss_D: -0.018406 Loss_G: 0.028469 Loss_D_real: -0.033710 Loss_D_fake -0.015304
[1581/5000][470/535][163234] Loss_D: -0.018448 Loss_G: 0.011465 Loss_D_real: -0.013561 Loss_D_fake 0.004887
[1581/5000][475/535][163235] Loss_D: -0.019078 Loss_G: 0.006957 Loss_D_real: -0.019811 Loss_D_fake -0.000733
[1581/5000][480/535][163236] Loss_D: -0.019814 Loss_G: 0.008414 Loss_D_real: -0.020380 Loss_D_fake -0.000566
[1581/5000][485/535][163237] Loss_D: -0.019383 Loss_G: 0.010290 Loss_D_real: -0.037749 Loss_D_fake -0.018366
[1581/5000][490/535][163238] Loss_D: -0.019585 Loss_G: -0.001786 Loss_D_real: -0.011108 Loss_D_fake 0.008477
[1581/5000][495/535][163239] Loss_D: -0.019485 Loss_G: -0.002733 Loss_D_real: -0.014986 Loss_D_fake 0.004499
[1581/5000][500/535][163240] Loss_D: -0.017733 Loss_G: 0.013182 Loss_D_real: -0.030932 Loss_D_fake -0.013199
[1581/5000][505/535][163241] Loss_D: -0.018303 Loss_G: 0.013254 Loss_D_real: -0.026600 Loss_D_fake -0.008298
[1581/5000][510/535][163242] Loss_D: -0.018070 Loss_G: -0.006778 Loss_D_real: 0.002165 Loss_D_fake 0.020235
[1581/5000][515/535][163243] Loss_D: -0.018545 Loss_G: -0.003044 Loss_D_real: -0.001195 Loss_D_fake 0.017350
[1581/5000][520/535][163244] Loss_D: -0.017906 Loss_G: 0.008304 Loss_D_real: -0.028589 Loss_D_fake -0.010682
[1581/5000][525/535][163245] Loss_D: -0.019538 Loss_G: -0.012041 Loss_D_real: 0.001765 Loss_D_fake 0.021303
[1581/5000][530/535][163246] Loss_D: -0.019432 Loss_G: 0.017733 Loss_D_real: -0.018507 Loss_D_fake 0.000924
[1581/5000][535/535][163247] Loss_D: -0.021205 Loss_G: 0.012252 Loss_D_real: -0.023731 Loss_D_fake -0.002526
[1582/5000][5/535][163248] Loss_D: -0.020219 Loss_G: 0.005091 Loss_D_real: 0.003436 Loss_D_fake 0.023654
[1582/5000][10/535][163249] Loss_D: -0.019103 Loss_G: -0.004183 Loss_D_real: -0.004460 Loss_D_fake 0.014642
[1582/5000][15/535][163250] Loss_D: -0.018675 Loss_G: 0.011242 Loss_D_real: -0.016893 Loss_D_fake 0.001783
[1582/5000][20/535][163251] Loss_D: -0.020066 Loss_G: 0.015231 Loss_D_real: -0.026476 Loss_D_fake -0.006410
[1582/5000][25/535][163252] Loss_D: -0.019793 Loss_G: 0.010024 Loss_D_real: -0.011895 Loss_D_fake 0.007898
[1582/5000][30/535][163253] Loss_D: -0.017855 Loss_G: 0.016506 Loss_D_real: -0.028098 Loss_D_fake -0.010243
[1582/5000][35/535][163254] Loss_D: -0.019069 Loss_G: 0.005649 Loss_D_real: -0.017216 Loss_D_fake 0.001852
[1582/5000][40/535][163255] Loss_D: -0.019295 Loss_G: 0.016737 Loss_D_real: -0.022489 Loss_D_fake -0.003194
[1582/5000][45/535][163256] Loss_D: -0.018666 Loss_G: 0.011353 Loss_D_real: -0.019383 Loss_D_fake -0.000716
[1582/5000][50/535][163257] Loss_D: -0.020530 Loss_G: 0.005286 Loss_D_real: -0.013189 Loss_D_fake 0.007342
[1582/5000][55/535][163258] Loss_D: -0.020075 Loss_G: 0.004084 Loss_D_real: -0.011000 Loss_D_fake 0.009075
[1582/5000][60/535][163259] Loss_D: -0.018340 Loss_G: 0.016816 Loss_D_real: -0.027925 Loss_D_fake -0.009586
[1582/5000][65/535][163260] Loss_D: -0.020420 Loss_G: -0.006791 Loss_D_real: -0.013343 Loss_D_fake 0.007077
[1582/5000][70/535][163261] Loss_D: -0.018382 Loss_G: 0.018559 Loss_D_real: -0.020495 Loss_D_fake -0.002113
[1582/5000][75/535][163262] Loss_D: -0.018454 Loss_G: 0.015662 Loss_D_real: -0.023715 Loss_D_fake -0.005261
[1582/5000][80/535][163263] Loss_D: -0.018445 Loss_G: -0.012267 Loss_D_real: -0.013202 Loss_D_fake 0.005243
[1582/5000][85/535][163264] Loss_D: -0.019567 Loss_G: 0.013392 Loss_D_real: -0.018125 Loss_D_fake 0.001443
[1582/5000][90/535][163265] Loss_D: -0.020132 Loss_G: -0.010497 Loss_D_real: -0.006680 Loss_D_fake 0.013452
[1582/5000][95/535][163266] Loss_D: -0.018521 Loss_G: 0.014645 Loss_D_real: -0.018075 Loss_D_fake 0.000446
[1582/5000][100/535][163267] Loss_D: -0.017948 Loss_G: -0.004834 Loss_D_real: -0.009916 Loss_D_fake 0.008032
[1582/5000][105/535][163268] Loss_D: -0.019241 Loss_G: 0.010705 Loss_D_real: -0.027360 Loss_D_fake -0.008119
[1582/5000][110/535][163269] Loss_D: -0.018683 Loss_G: -0.008700 Loss_D_real: -0.014091 Loss_D_fake 0.004592
[1582/5000][115/535][163270] Loss_D: -0.018842 Loss_G: 0.002002 Loss_D_real: -0.009402 Loss_D_fake 0.009439
[1582/5000][120/535][163271] Loss_D: -0.021109 Loss_G: 0.016858 Loss_D_real: -0.006551 Loss_D_fake 0.014558
[1582/5000][125/535][163272] Loss_D: -0.018443 Loss_G: 0.029359 Loss_D_real: -0.030539 Loss_D_fake -0.012096
[1582/5000][130/535][163273] Loss_D: -0.018889 Loss_G: 0.001599 Loss_D_real: -0.011222 Loss_D_fake 0.007667
[1582/5000][135/535][163274] Loss_D: -0.019959 Loss_G: 0.006683 Loss_D_real: -0.027608 Loss_D_fake -0.007649
[1582/5000][140/535][163275] Loss_D: -0.017305 Loss_G: 0.021034 Loss_D_real: -0.029280 Loss_D_fake -0.011975
[1582/5000][145/535][163276] Loss_D: -0.019080 Loss_G: -0.006987 Loss_D_real: -0.020867 Loss_D_fake -0.001787
[1582/5000][150/535][163277] Loss_D: -0.018379 Loss_G: -0.008437 Loss_D_real: 0.006708 Loss_D_fake 0.025087
[1582/5000][155/535][163278] Loss_D: -0.019467 Loss_G: 0.011360 Loss_D_real: -0.029623 Loss_D_fake -0.010156
[1582/5000][160/535][163279] Loss_D: -0.019656 Loss_G: -0.000550 Loss_D_real: -0.016777 Loss_D_fake 0.002879
[1582/5000][165/535][163280] Loss_D: -0.019381 Loss_G: 0.002183 Loss_D_real: 0.000314 Loss_D_fake 0.019695
[1582/5000][170/535][163281] Loss_D: -0.019748 Loss_G: 0.027741 Loss_D_real: -0.015750 Loss_D_fake 0.003998
[1582/5000][175/535][163282] Loss_D: -0.018748 Loss_G: -0.007754 Loss_D_real: -0.003101 Loss_D_fake 0.015648
[1582/5000][180/535][163283] Loss_D: -0.018779 Loss_G: 0.007287 Loss_D_real: -0.020005 Loss_D_fake -0.001226
[1582/5000][185/535][163284] Loss_D: -0.019723 Loss_G: 0.006254 Loss_D_real: -0.022997 Loss_D_fake -0.003274
[1582/5000][190/535][163285] Loss_D: -0.017912 Loss_G: 0.003097 Loss_D_real: -0.021260 Loss_D_fake -0.003348
[1582/5000][195/535][163286] Loss_D: -0.019928 Loss_G: -0.004174 Loss_D_real: -0.022556 Loss_D_fake -0.002627
[1582/5000][200/535][163287] Loss_D: -0.018705 Loss_G: -0.000139 Loss_D_real: 0.003919 Loss_D_fake 0.022624
[1582/5000][205/535][163288] Loss_D: -0.019236 Loss_G: 0.000455 Loss_D_real: -0.014667 Loss_D_fake 0.004569
[1582/5000][210/535][163289] Loss_D: -0.019799 Loss_G: 0.020496 Loss_D_real: -0.010000 Loss_D_fake 0.009799
[1582/5000][215/535][163290] Loss_D: -0.020938 Loss_G: -0.004097 Loss_D_real: -0.007229 Loss_D_fake 0.013709
[1582/5000][220/535][163291] Loss_D: -0.017942 Loss_G: 0.007347 Loss_D_real: -0.011963 Loss_D_fake 0.005978
[1582/5000][225/535][163292] Loss_D: -0.019061 Loss_G: 0.002946 Loss_D_real: -0.009526 Loss_D_fake 0.009535
[1582/5000][230/535][163293] Loss_D: -0.018062 Loss_G: 0.015631 Loss_D_real: -0.018858 Loss_D_fake -0.000795
[1582/5000][235/535][163294] Loss_D: -0.019555 Loss_G: 0.025496 Loss_D_real: -0.023845 Loss_D_fake -0.004290
[1582/5000][240/535][163295] Loss_D: -0.019362 Loss_G: 0.016783 Loss_D_real: -0.036842 Loss_D_fake -0.017480
[1582/5000][245/535][163296] Loss_D: -0.018668 Loss_G: -0.009567 Loss_D_real: -0.000271 Loss_D_fake 0.018397
[1582/5000][250/535][163297] Loss_D: -0.019212 Loss_G: 0.003416 Loss_D_real: -0.029203 Loss_D_fake -0.009990
[1582/5000][255/535][163298] Loss_D: -0.020272 Loss_G: 0.014475 Loss_D_real: -0.032280 Loss_D_fake -0.012008
[1582/5000][260/535][163299] Loss_D: -0.020760 Loss_G: 0.013525 Loss_D_real: -0.020920 Loss_D_fake -0.000160
[1582/5000][265/535][163300] Loss_D: -0.019252 Loss_G: 0.022499 Loss_D_real: -0.013804 Loss_D_fake 0.005448
[1582/5000][270/535][163301] Loss_D: -0.021660 Loss_G: 0.004215 Loss_D_real: -0.020016 Loss_D_fake 0.001644
[1582/5000][275/535][163302] Loss_D: -0.019980 Loss_G: 0.013689 Loss_D_real: -0.016216 Loss_D_fake 0.003764
[1582/5000][280/535][163303] Loss_D: -0.020619 Loss_G: -0.019409 Loss_D_real: -0.020606 Loss_D_fake 0.000013
[1582/5000][285/535][163304] Loss_D: -0.019540 Loss_G: 0.019175 Loss_D_real: -0.029078 Loss_D_fake -0.009538
[1582/5000][290/535][163305] Loss_D: -0.019220 Loss_G: -0.000511 Loss_D_real: -0.004869 Loss_D_fake 0.014351
[1582/5000][295/535][163306] Loss_D: -0.019387 Loss_G: 0.009229 Loss_D_real: 0.001776 Loss_D_fake 0.021163
[1582/5000][300/535][163307] Loss_D: -0.018796 Loss_G: -0.014429 Loss_D_real: -0.020989 Loss_D_fake -0.002193
[1582/5000][305/535][163308] Loss_D: -0.018567 Loss_G: 0.004008 Loss_D_real: -0.009296 Loss_D_fake 0.009272
[1582/5000][310/535][163309] Loss_D: -0.018363 Loss_G: -0.005545 Loss_D_real: -0.016251 Loss_D_fake 0.002112
[1582/5000][315/535][163310] Loss_D: -0.018862 Loss_G: 0.015619 Loss_D_real: -0.021185 Loss_D_fake -0.002323
[1582/5000][320/535][163311] Loss_D: -0.018949 Loss_G: -0.016657 Loss_D_real: -0.004729 Loss_D_fake 0.014219
[1582/5000][325/535][163312] Loss_D: -0.019939 Loss_G: 0.008287 Loss_D_real: -0.020139 Loss_D_fake -0.000200
[1582/5000][330/535][163313] Loss_D: -0.019468 Loss_G: 0.022726 Loss_D_real: -0.018454 Loss_D_fake 0.001014
[1582/5000][335/535][163314] Loss_D: -0.018516 Loss_G: 0.004506 Loss_D_real: -0.008415 Loss_D_fake 0.010102
[1582/5000][340/535][163315] Loss_D: -0.019405 Loss_G: -0.005585 Loss_D_real: -0.017481 Loss_D_fake 0.001924
[1582/5000][345/535][163316] Loss_D: -0.019405 Loss_G: 0.000729 Loss_D_real: -0.018672 Loss_D_fake 0.000732
[1582/5000][350/535][163317] Loss_D: -0.020056 Loss_G: -0.000313 Loss_D_real: -0.019875 Loss_D_fake 0.000181
[1582/5000][355/535][163318] Loss_D: -0.020250 Loss_G: 0.020334 Loss_D_real: -0.024399 Loss_D_fake -0.004149
[1582/5000][360/535][163319] Loss_D: -0.020021 Loss_G: 0.007678 Loss_D_real: -0.008589 Loss_D_fake 0.011433
[1582/5000][365/535][163320] Loss_D: -0.019479 Loss_G: -0.009905 Loss_D_real: -0.013362 Loss_D_fake 0.006117
[1582/5000][370/535][163321] Loss_D: -0.018855 Loss_G: 0.004074 Loss_D_real: -0.009326 Loss_D_fake 0.009529
[1582/5000][375/535][163322] Loss_D: -0.019437 Loss_G: 0.015398 Loss_D_real: -0.010447 Loss_D_fake 0.008990
[1582/5000][380/535][163323] Loss_D: -0.018737 Loss_G: 0.010163 Loss_D_real: -0.012805 Loss_D_fake 0.005932
[1582/5000][385/535][163324] Loss_D: -0.018135 Loss_G: 0.012449 Loss_D_real: -0.021251 Loss_D_fake -0.003116
[1582/5000][390/535][163325] Loss_D: -0.018421 Loss_G: -0.003602 Loss_D_real: -0.012199 Loss_D_fake 0.006222
[1582/5000][395/535][163326] Loss_D: -0.018688 Loss_G: 0.001380 Loss_D_real: -0.006956 Loss_D_fake 0.011732
[1582/5000][400/535][163327] Loss_D: -0.018308 Loss_G: -0.000408 Loss_D_real: -0.017169 Loss_D_fake 0.001139
[1582/5000][405/535][163328] Loss_D: -0.019041 Loss_G: 0.022663 Loss_D_real: -0.026148 Loss_D_fake -0.007107
[1582/5000][410/535][163329] Loss_D: -0.019131 Loss_G: -0.014423 Loss_D_real: -0.010430 Loss_D_fake 0.008701
[1582/5000][415/535][163330] Loss_D: -0.019038 Loss_G: 0.022531 Loss_D_real: -0.016814 Loss_D_fake 0.002225
[1582/5000][420/535][163331] Loss_D: -0.019836 Loss_G: 0.005779 Loss_D_real: -0.013424 Loss_D_fake 0.006413
[1582/5000][425/535][163332] Loss_D: -0.017615 Loss_G: 0.014298 Loss_D_real: -0.026625 Loss_D_fake -0.009011
[1582/5000][430/535][163333] Loss_D: -0.018722 Loss_G: 0.008135 Loss_D_real: -0.012880 Loss_D_fake 0.005843
[1582/5000][435/535][163334] Loss_D: -0.016785 Loss_G: -0.016027 Loss_D_real: 0.007797 Loss_D_fake 0.024581
[1582/5000][440/535][163335] Loss_D: -0.019222 Loss_G: -0.009583 Loss_D_real: -0.014215 Loss_D_fake 0.005007
[1582/5000][445/535][163336] Loss_D: -0.017891 Loss_G: 0.003399 Loss_D_real: -0.021354 Loss_D_fake -0.003462
[1582/5000][450/535][163337] Loss_D: -0.020385 Loss_G: -0.001568 Loss_D_real: -0.020610 Loss_D_fake -0.000225
[1582/5000][455/535][163338] Loss_D: -0.019424 Loss_G: 0.015184 Loss_D_real: -0.016423 Loss_D_fake 0.003002
[1582/5000][460/535][163339] Loss_D: -0.019898 Loss_G: 0.002339 Loss_D_real: -0.008618 Loss_D_fake 0.011280
[1582/5000][465/535][163340] Loss_D: -0.017606 Loss_G: 0.019514 Loss_D_real: -0.031888 Loss_D_fake -0.014283
[1582/5000][470/535][163341] Loss_D: -0.020469 Loss_G: 0.004945 Loss_D_real: -0.024599 Loss_D_fake -0.004130
[1582/5000][475/535][163342] Loss_D: -0.019760 Loss_G: -0.001084 Loss_D_real: -0.006779 Loss_D_fake 0.012981
[1582/5000][480/535][163343] Loss_D: -0.019610 Loss_G: 0.018813 Loss_D_real: -0.026098 Loss_D_fake -0.006488
[1582/5000][485/535][163344] Loss_D: -0.019518 Loss_G: 0.004506 Loss_D_real: -0.022152 Loss_D_fake -0.002634
[1582/5000][490/535][163345] Loss_D: -0.019226 Loss_G: 0.003566 Loss_D_real: -0.012258 Loss_D_fake 0.006969
[1582/5000][495/535][163346] Loss_D: -0.019781 Loss_G: 0.004611 Loss_D_real: -0.014801 Loss_D_fake 0.004980
[1582/5000][500/535][163347] Loss_D: -0.020388 Loss_G: 0.004237 Loss_D_real: -0.008157 Loss_D_fake 0.012231
[1582/5000][505/535][163348] Loss_D: -0.018839 Loss_G: -0.002089 Loss_D_real: -0.015628 Loss_D_fake 0.003211
[1582/5000][510/535][163349] Loss_D: -0.020584 Loss_G: 0.006639 Loss_D_real: -0.020588 Loss_D_fake -0.000004
[1582/5000][515/535][163350] Loss_D: -0.020312 Loss_G: 0.011083 Loss_D_real: -0.036409 Loss_D_fake -0.016097
[1582/5000][520/535][163351] Loss_D: -0.020095 Loss_G: 0.017555 Loss_D_real: -0.016596 Loss_D_fake 0.003499
[1582/5000][525/535][163352] Loss_D: -0.018531 Loss_G: 0.005249 Loss_D_real: -0.013174 Loss_D_fake 0.005358
[1582/5000][530/535][163353] Loss_D: -0.018261 Loss_G: 0.000826 Loss_D_real: 0.000872 Loss_D_fake 0.019133
[1582/5000][535/535][163354] Loss_D: -0.021777 Loss_G: 0.010964 Loss_D_real: -0.007904 Loss_D_fake 0.013873
[1583/5000][5/535][163355] Loss_D: -0.018867 Loss_G: 0.014825 Loss_D_real: -0.040529 Loss_D_fake -0.021661
[1583/5000][10/535][163356] Loss_D: -0.018314 Loss_G: 0.006790 Loss_D_real: -0.015834 Loss_D_fake 0.002481
[1583/5000][15/535][163357] Loss_D: -0.019212 Loss_G: 0.010449 Loss_D_real: -0.034382 Loss_D_fake -0.015170
[1583/5000][20/535][163358] Loss_D: -0.019513 Loss_G: 0.008183 Loss_D_real: -0.021458 Loss_D_fake -0.001945
[1583/5000][25/535][163359] Loss_D: -0.019125 Loss_G: -0.003734 Loss_D_real: -0.010010 Loss_D_fake 0.009115
[1583/5000][30/535][163360] Loss_D: -0.017726 Loss_G: 0.021836 Loss_D_real: -0.021937 Loss_D_fake -0.004211
[1583/5000][35/535][163361] Loss_D: -0.018637 Loss_G: 0.000218 Loss_D_real: -0.015004 Loss_D_fake 0.003632
[1583/5000][40/535][163362] Loss_D: -0.019704 Loss_G: 0.005183 Loss_D_real: -0.031082 Loss_D_fake -0.011378
[1583/5000][45/535][163363] Loss_D: -0.020078 Loss_G: 0.004432 Loss_D_real: -0.012104 Loss_D_fake 0.007974
[1583/5000][50/535][163364] Loss_D: -0.019386 Loss_G: 0.008891 Loss_D_real: -0.000823 Loss_D_fake 0.018563
[1583/5000][55/535][163365] Loss_D: -0.019913 Loss_G: 0.001436 Loss_D_real: -0.014260 Loss_D_fake 0.005653
[1583/5000][60/535][163366] Loss_D: -0.019625 Loss_G: 0.005498 Loss_D_real: -0.019054 Loss_D_fake 0.000571
[1583/5000][65/535][163367] Loss_D: -0.019317 Loss_G: -0.001114 Loss_D_real: -0.013202 Loss_D_fake 0.006115
[1583/5000][70/535][163368] Loss_D: -0.020214 Loss_G: 0.013154 Loss_D_real: -0.022668 Loss_D_fake -0.002454
[1583/5000][75/535][163369] Loss_D: -0.019454 Loss_G: 0.010675 Loss_D_real: -0.020263 Loss_D_fake -0.000810
[1583/5000][80/535][163370] Loss_D: -0.019250 Loss_G: 0.020765 Loss_D_real: -0.024676 Loss_D_fake -0.005426
[1583/5000][85/535][163371] Loss_D: -0.017658 Loss_G: 0.021891 Loss_D_real: -0.029003 Loss_D_fake -0.011344
[1583/5000][90/535][163372] Loss_D: -0.019579 Loss_G: 0.011144 Loss_D_real: -0.023587 Loss_D_fake -0.004007
[1583/5000][95/535][163373] Loss_D: -0.019458 Loss_G: 0.006692 Loss_D_real: -0.008741 Loss_D_fake 0.010717
[1583/5000][100/535][163374] Loss_D: -0.019751 Loss_G: 0.017222 Loss_D_real: -0.023295 Loss_D_fake -0.003544
[1583/5000][105/535][163375] Loss_D: -0.019207 Loss_G: -0.001979 Loss_D_real: -0.003539 Loss_D_fake 0.015668
[1583/5000][110/535][163376] Loss_D: -0.018790 Loss_G: 0.024076 Loss_D_real: -0.018745 Loss_D_fake 0.000045
[1583/5000][115/535][163377] Loss_D: -0.019845 Loss_G: -0.007703 Loss_D_real: -0.002205 Loss_D_fake 0.017640
[1583/5000][120/535][163378] Loss_D: -0.018027 Loss_G: -0.006746 Loss_D_real: -0.012111 Loss_D_fake 0.005916
[1583/5000][125/535][163379] Loss_D: -0.019880 Loss_G: -0.000515 Loss_D_real: -0.014744 Loss_D_fake 0.005135
[1583/5000][130/535][163380] Loss_D: -0.019886 Loss_G: -0.006660 Loss_D_real: -0.015491 Loss_D_fake 0.004395
[1583/5000][135/535][163381] Loss_D: -0.019337 Loss_G: -0.007823 Loss_D_real: 0.001879 Loss_D_fake 0.021216
[1583/5000][140/535][163382] Loss_D: -0.019512 Loss_G: 0.005569 Loss_D_real: -0.010532 Loss_D_fake 0.008980
[1583/5000][145/535][163383] Loss_D: -0.016662 Loss_G: -0.008675 Loss_D_real: 0.000918 Loss_D_fake 0.017580
[1583/5000][150/535][163384] Loss_D: -0.018713 Loss_G: 0.006566 Loss_D_real: -0.023565 Loss_D_fake -0.004852
[1583/5000][155/535][163385] Loss_D: -0.017791 Loss_G: -0.011687 Loss_D_real: -0.010461 Loss_D_fake 0.007329
[1583/5000][160/535][163386] Loss_D: -0.019102 Loss_G: 0.004771 Loss_D_real: 0.003599 Loss_D_fake 0.022701
[1583/5000][165/535][163387] Loss_D: -0.017326 Loss_G: 0.010818 Loss_D_real: -0.004951 Loss_D_fake 0.012375
[1583/5000][170/535][163388] Loss_D: -0.019194 Loss_G: 0.011681 Loss_D_real: -0.016154 Loss_D_fake 0.003039
[1583/5000][175/535][163389] Loss_D: -0.018329 Loss_G: -0.002890 Loss_D_real: 0.001285 Loss_D_fake 0.019614
[1583/5000][180/535][163390] Loss_D: -0.018287 Loss_G: 0.005361 Loss_D_real: -0.014012 Loss_D_fake 0.004274
[1583/5000][185/535][163391] Loss_D: -0.018988 Loss_G: 0.012130 Loss_D_real: -0.023111 Loss_D_fake -0.004124
[1583/5000][190/535][163392] Loss_D: -0.017968 Loss_G: 0.018551 Loss_D_real: -0.025526 Loss_D_fake -0.007558
[1583/5000][195/535][163393] Loss_D: -0.018969 Loss_G: -0.000950 Loss_D_real: -0.002481 Loss_D_fake 0.016488
[1583/5000][200/535][163394] Loss_D: -0.019385 Loss_G: -0.010296 Loss_D_real: 0.003763 Loss_D_fake 0.023147
[1583/5000][205/535][163395] Loss_D: -0.020058 Loss_G: 0.010737 Loss_D_real: -0.022540 Loss_D_fake -0.002482
[1583/5000][210/535][163396] Loss_D: -0.019102 Loss_G: 0.011898 Loss_D_real: -0.015484 Loss_D_fake 0.003618
[1583/5000][215/535][163397] Loss_D: -0.019368 Loss_G: 0.004364 Loss_D_real: -0.037644 Loss_D_fake -0.018276
[1583/5000][220/535][163398] Loss_D: -0.020288 Loss_G: -0.009862 Loss_D_real: -0.005498 Loss_D_fake 0.014790
[1583/5000][225/535][163399] Loss_D: -0.019704 Loss_G: 0.011856 Loss_D_real: -0.009329 Loss_D_fake 0.010375
[1583/5000][230/535][163400] Loss_D: -0.020170 Loss_G: 0.004251 Loss_D_real: -0.014087 Loss_D_fake 0.006083
[1583/5000][235/535][163401] Loss_D: -0.018294 Loss_G: 0.010570 Loss_D_real: -0.015813 Loss_D_fake 0.002481
[1583/5000][240/535][163402] Loss_D: -0.020440 Loss_G: 0.022592 Loss_D_real: -0.017803 Loss_D_fake 0.002637
[1583/5000][245/535][163403] Loss_D: -0.018682 Loss_G: 0.009872 Loss_D_real: -0.025184 Loss_D_fake -0.006502
[1583/5000][250/535][163404] Loss_D: -0.017798 Loss_G: -0.001706 Loss_D_real: -0.019603 Loss_D_fake -0.001806
[1583/5000][255/535][163405] Loss_D: -0.019413 Loss_G: 0.000125 Loss_D_real: -0.021336 Loss_D_fake -0.001922
[1583/5000][260/535][163406] Loss_D: -0.018863 Loss_G: 0.000076 Loss_D_real: -0.008865 Loss_D_fake 0.009998
[1583/5000][265/535][163407] Loss_D: -0.019405 Loss_G: 0.008265 Loss_D_real: -0.022817 Loss_D_fake -0.003412
[1583/5000][270/535][163408] Loss_D: -0.019441 Loss_G: 0.020474 Loss_D_real: -0.029516 Loss_D_fake -0.010075
[1583/5000][275/535][163409] Loss_D: -0.018250 Loss_G: 0.012219 Loss_D_real: -0.020154 Loss_D_fake -0.001904
[1583/5000][280/535][163410] Loss_D: -0.019111 Loss_G: -0.008272 Loss_D_real: -0.014375 Loss_D_fake 0.004736
[1583/5000][285/535][163411] Loss_D: -0.019051 Loss_G: 0.005705 Loss_D_real: -0.013418 Loss_D_fake 0.005633
[1583/5000][290/535][163412] Loss_D: -0.020136 Loss_G: -0.003368 Loss_D_real: 0.006325 Loss_D_fake 0.026461
[1583/5000][295/535][163413] Loss_D: -0.017713 Loss_G: 0.017991 Loss_D_real: -0.023258 Loss_D_fake -0.005545
[1583/5000][300/535][163414] Loss_D: -0.019879 Loss_G: -0.012812 Loss_D_real: -0.011250 Loss_D_fake 0.008630
[1583/5000][305/535][163415] Loss_D: -0.019787 Loss_G: 0.010253 Loss_D_real: -0.015251 Loss_D_fake 0.004535
[1583/5000][310/535][163416] Loss_D: -0.019342 Loss_G: -0.000671 Loss_D_real: -0.026235 Loss_D_fake -0.006893
[1583/5000][315/535][163417] Loss_D: -0.019058 Loss_G: 0.009641 Loss_D_real: -0.004256 Loss_D_fake 0.014803
[1583/5000][320/535][163418] Loss_D: -0.019716 Loss_G: 0.005114 Loss_D_real: -0.018339 Loss_D_fake 0.001376
[1583/5000][325/535][163419] Loss_D: -0.019141 Loss_G: 0.016166 Loss_D_real: -0.016183 Loss_D_fake 0.002957
[1583/5000][330/535][163420] Loss_D: -0.018385 Loss_G: 0.008971 Loss_D_real: -0.013441 Loss_D_fake 0.004944
[1583/5000][335/535][163421] Loss_D: -0.019656 Loss_G: -0.017162 Loss_D_real: 0.002905 Loss_D_fake 0.022561
[1583/5000][340/535][163422] Loss_D: -0.018685 Loss_G: -0.005345 Loss_D_real: -0.010823 Loss_D_fake 0.007862
[1583/5000][345/535][163423] Loss_D: -0.018007 Loss_G: 0.030214 Loss_D_real: -0.031714 Loss_D_fake -0.013707
[1583/5000][350/535][163424] Loss_D: -0.019910 Loss_G: -0.004246 Loss_D_real: -0.014407 Loss_D_fake 0.005502
[1583/5000][355/535][163425] Loss_D: -0.019513 Loss_G: 0.011315 Loss_D_real: -0.016509 Loss_D_fake 0.003004
[1583/5000][360/535][163426] Loss_D: -0.017525 Loss_G: -0.001457 Loss_D_real: -0.007325 Loss_D_fake 0.010200
[1583/5000][365/535][163427] Loss_D: -0.019570 Loss_G: -0.010042 Loss_D_real: -0.006718 Loss_D_fake 0.012852
[1583/5000][370/535][163428] Loss_D: -0.018981 Loss_G: -0.004982 Loss_D_real: -0.012079 Loss_D_fake 0.006902
[1583/5000][375/535][163429] Loss_D: -0.019872 Loss_G: 0.004762 Loss_D_real: -0.020991 Loss_D_fake -0.001119
[1583/5000][380/535][163430] Loss_D: -0.019055 Loss_G: 0.013682 Loss_D_real: -0.018387 Loss_D_fake 0.000668
[1583/5000][385/535][163431] Loss_D: -0.018663 Loss_G: 0.021052 Loss_D_real: -0.026032 Loss_D_fake -0.007369
[1583/5000][390/535][163432] Loss_D: -0.018124 Loss_G: -0.000354 Loss_D_real: -0.005351 Loss_D_fake 0.012773
[1583/5000][395/535][163433] Loss_D: -0.019974 Loss_G: -0.011690 Loss_D_real: -0.010980 Loss_D_fake 0.008994
[1583/5000][400/535][163434] Loss_D: -0.019408 Loss_G: -0.001556 Loss_D_real: -0.006444 Loss_D_fake 0.012963
[1583/5000][405/535][163435] Loss_D: -0.020191 Loss_G: -0.008668 Loss_D_real: -0.011989 Loss_D_fake 0.008202
[1583/5000][410/535][163436] Loss_D: -0.018127 Loss_G: 0.020086 Loss_D_real: -0.021836 Loss_D_fake -0.003709
[1583/5000][415/535][163437] Loss_D: -0.019993 Loss_G: 0.023419 Loss_D_real: -0.022419 Loss_D_fake -0.002426
[1583/5000][420/535][163438] Loss_D: -0.018504 Loss_G: 0.011360 Loss_D_real: -0.001731 Loss_D_fake 0.016773
[1583/5000][425/535][163439] Loss_D: -0.019178 Loss_G: 0.012349 Loss_D_real: -0.035104 Loss_D_fake -0.015926
[1583/5000][430/535][163440] Loss_D: -0.020923 Loss_G: 0.020593 Loss_D_real: -0.022733 Loss_D_fake -0.001810
[1583/5000][435/535][163441] Loss_D: -0.019623 Loss_G: -0.008011 Loss_D_real: -0.005592 Loss_D_fake 0.014031
[1583/5000][440/535][163442] Loss_D: -0.018932 Loss_G: 0.003118 Loss_D_real: -0.017551 Loss_D_fake 0.001380
[1583/5000][445/535][163443] Loss_D: -0.020055 Loss_G: 0.011194 Loss_D_real: -0.010762 Loss_D_fake 0.009293
[1583/5000][450/535][163444] Loss_D: -0.018032 Loss_G: 0.005897 Loss_D_real: -0.022105 Loss_D_fake -0.004073
[1583/5000][455/535][163445] Loss_D: -0.018061 Loss_G: -0.008864 Loss_D_real: -0.015696 Loss_D_fake 0.002364
[1583/5000][460/535][163446] Loss_D: -0.018834 Loss_G: 0.012289 Loss_D_real: -0.018360 Loss_D_fake 0.000473
[1583/5000][465/535][163447] Loss_D: -0.019042 Loss_G: -0.012034 Loss_D_real: -0.005999 Loss_D_fake 0.013042
[1583/5000][470/535][163448] Loss_D: -0.019431 Loss_G: 0.001753 Loss_D_real: -0.009418 Loss_D_fake 0.010013
[1583/5000][475/535][163449] Loss_D: -0.019256 Loss_G: 0.012020 Loss_D_real: -0.006421 Loss_D_fake 0.012835
[1583/5000][480/535][163450] Loss_D: -0.019709 Loss_G: 0.006869 Loss_D_real: -0.007099 Loss_D_fake 0.012610
[1583/5000][485/535][163451] Loss_D: -0.020744 Loss_G: 0.003520 Loss_D_real: -0.009501 Loss_D_fake 0.011244
[1583/5000][490/535][163452] Loss_D: -0.020313 Loss_G: -0.007355 Loss_D_real: -0.006529 Loss_D_fake 0.013784
[1583/5000][495/535][163453] Loss_D: -0.019886 Loss_G: 0.011922 Loss_D_real: -0.029071 Loss_D_fake -0.009185
[1583/5000][500/535][163454] Loss_D: -0.020354 Loss_G: 0.010557 Loss_D_real: -0.024857 Loss_D_fake -0.004503
[1583/5000][505/535][163455] Loss_D: -0.020083 Loss_G: -0.006603 Loss_D_real: -0.021973 Loss_D_fake -0.001889
[1583/5000][510/535][163456] Loss_D: -0.020795 Loss_G: -0.002341 Loss_D_real: -0.014767 Loss_D_fake 0.006028
[1583/5000][515/535][163457] Loss_D: -0.019534 Loss_G: 0.015193 Loss_D_real: -0.017710 Loss_D_fake 0.001825
[1583/5000][520/535][163458] Loss_D: -0.018936 Loss_G: 0.011546 Loss_D_real: -0.016471 Loss_D_fake 0.002465
[1583/5000][525/535][163459] Loss_D: -0.018739 Loss_G: 0.001086 Loss_D_real: -0.007113 Loss_D_fake 0.011627
[1583/5000][530/535][163460] Loss_D: -0.018838 Loss_G: 0.008003 Loss_D_real: -0.013500 Loss_D_fake 0.005338
[1583/5000][535/535][163461] Loss_D: -0.018310 Loss_G: 0.014546 Loss_D_real: -0.028213 Loss_D_fake -0.009903
[1584/5000][5/535][163462] Loss_D: -0.018848 Loss_G: -0.006788 Loss_D_real: 0.001233 Loss_D_fake 0.020081
[1584/5000][10/535][163463] Loss_D: -0.018526 Loss_G: 0.018989 Loss_D_real: -0.033079 Loss_D_fake -0.014553
[1584/5000][15/535][163464] Loss_D: -0.019367 Loss_G: -0.002892 Loss_D_real: -0.018092 Loss_D_fake 0.001275
[1584/5000][20/535][163465] Loss_D: -0.017652 Loss_G: 0.019184 Loss_D_real: -0.017369 Loss_D_fake 0.000283
[1584/5000][25/535][163466] Loss_D: -0.018720 Loss_G: -0.007150 Loss_D_real: 0.001475 Loss_D_fake 0.020195
[1584/5000][30/535][163467] Loss_D: -0.018829 Loss_G: 0.007917 Loss_D_real: -0.000440 Loss_D_fake 0.018389
[1584/5000][35/535][163468] Loss_D: -0.018223 Loss_G: 0.022205 Loss_D_real: -0.018593 Loss_D_fake -0.000370
[1584/5000][40/535][163469] Loss_D: -0.018265 Loss_G: -0.005208 Loss_D_real: -0.011867 Loss_D_fake 0.006398
[1584/5000][45/535][163470] Loss_D: -0.018057 Loss_G: 0.020344 Loss_D_real: -0.017938 Loss_D_fake 0.000118
[1584/5000][50/535][163471] Loss_D: -0.018480 Loss_G: -0.003180 Loss_D_real: -0.005005 Loss_D_fake 0.013474
[1584/5000][55/535][163472] Loss_D: -0.019582 Loss_G: 0.012413 Loss_D_real: -0.023327 Loss_D_fake -0.003745
[1584/5000][60/535][163473] Loss_D: -0.020005 Loss_G: 0.006627 Loss_D_real: -0.005951 Loss_D_fake 0.014054
[1584/5000][65/535][163474] Loss_D: -0.016657 Loss_G: 0.013756 Loss_D_real: -0.022591 Loss_D_fake -0.005934
[1584/5000][70/535][163475] Loss_D: -0.019452 Loss_G: 0.006507 Loss_D_real: -0.020904 Loss_D_fake -0.001452
[1584/5000][75/535][163476] Loss_D: -0.019692 Loss_G: -0.005313 Loss_D_real: -0.006366 Loss_D_fake 0.013325
[1584/5000][80/535][163477] Loss_D: -0.017414 Loss_G: 0.021566 Loss_D_real: -0.021501 Loss_D_fake -0.004087
[1584/5000][85/535][163478] Loss_D: -0.019882 Loss_G: 0.009152 Loss_D_real: -0.018509 Loss_D_fake 0.001374
[1584/5000][90/535][163479] Loss_D: -0.018552 Loss_G: 0.010508 Loss_D_real: -0.012467 Loss_D_fake 0.006085
[1584/5000][95/535][163480] Loss_D: -0.018146 Loss_G: 0.026830 Loss_D_real: -0.027985 Loss_D_fake -0.009839
[1584/5000][100/535][163481] Loss_D: -0.019698 Loss_G: 0.010940 Loss_D_real: -0.019869 Loss_D_fake -0.000171
[1584/5000][105/535][163482] Loss_D: -0.020502 Loss_G: 0.000169 Loss_D_real: -0.007962 Loss_D_fake 0.012540
[1584/5000][110/535][163483] Loss_D: -0.019505 Loss_G: 0.002761 Loss_D_real: -0.003306 Loss_D_fake 0.016198
[1584/5000][115/535][163484] Loss_D: -0.019429 Loss_G: 0.014691 Loss_D_real: -0.016810 Loss_D_fake 0.002619
[1584/5000][120/535][163485] Loss_D: -0.018531 Loss_G: 0.019460 Loss_D_real: -0.030618 Loss_D_fake -0.012087
[1584/5000][125/535][163486] Loss_D: -0.020406 Loss_G: 0.004712 Loss_D_real: -0.020712 Loss_D_fake -0.000306
[1584/5000][130/535][163487] Loss_D: -0.019370 Loss_G: 0.033908 Loss_D_real: -0.024871 Loss_D_fake -0.005501
[1584/5000][135/535][163488] Loss_D: -0.019779 Loss_G: -0.001379 Loss_D_real: -0.020488 Loss_D_fake -0.000708
[1584/5000][140/535][163489] Loss_D: -0.019609 Loss_G: 0.024300 Loss_D_real: -0.025833 Loss_D_fake -0.006223
[1584/5000][145/535][163490] Loss_D: -0.020745 Loss_G: 0.007177 Loss_D_real: -0.012584 Loss_D_fake 0.008161
[1584/5000][150/535][163491] Loss_D: -0.021236 Loss_G: 0.009637 Loss_D_real: -0.020941 Loss_D_fake 0.000296
[1584/5000][155/535][163492] Loss_D: -0.018726 Loss_G: 0.007649 Loss_D_real: -0.013569 Loss_D_fake 0.005157
[1584/5000][160/535][163493] Loss_D: -0.019822 Loss_G: 0.007968 Loss_D_real: -0.019661 Loss_D_fake 0.000161
[1584/5000][165/535][163494] Loss_D: -0.019516 Loss_G: -0.012002 Loss_D_real: -0.008171 Loss_D_fake 0.011345
[1584/5000][170/535][163495] Loss_D: -0.018043 Loss_G: 0.027908 Loss_D_real: -0.025021 Loss_D_fake -0.006979
[1584/5000][175/535][163496] Loss_D: -0.020191 Loss_G: -0.001141 Loss_D_real: -0.026342 Loss_D_fake -0.006152
[1584/5000][180/535][163497] Loss_D: -0.019042 Loss_G: 0.003687 Loss_D_real: -0.016701 Loss_D_fake 0.002341
[1584/5000][185/535][163498] Loss_D: -0.018429 Loss_G: 0.022010 Loss_D_real: -0.021027 Loss_D_fake -0.002599
[1584/5000][190/535][163499] Loss_D: -0.018092 Loss_G: -0.001513 Loss_D_real: -0.004585 Loss_D_fake 0.013507
[1584/5000][195/535][163500] Loss_D: -0.018282 Loss_G: 0.010595 Loss_D_real: -0.020595 Loss_D_fake -0.002313
[1584/5000][295/535][163501] Loss_D: -0.021112 Loss_G: 0.026037 Loss_D_real: -0.022186 Loss_D_fake -0.001074
[1584/5000][300/535][163502] Loss_D: -0.017575 Loss_G: 0.006829 Loss_D_real: -0.020946 Loss_D_fake -0.003372
[1584/5000][305/535][163503] Loss_D: -0.020641 Loss_G: 0.007680 Loss_D_real: -0.024216 Loss_D_fake -0.003575
[1584/5000][310/535][163504] Loss_D: -0.019487 Loss_G: 0.005662 Loss_D_real: -0.025764 Loss_D_fake -0.006277
[1584/5000][315/535][163505] Loss_D: -0.018802 Loss_G: 0.012883 Loss_D_real: -0.024659 Loss_D_fake -0.005857
[1584/5000][320/535][163506] Loss_D: -0.018290 Loss_G: -0.004870 Loss_D_real: -0.014395 Loss_D_fake 0.003894
[1584/5000][325/535][163507] Loss_D: -0.018841 Loss_G: 0.009443 Loss_D_real: -0.024536 Loss_D_fake -0.005696
[1584/5000][330/535][163508] Loss_D: -0.018059 Loss_G: 0.005800 Loss_D_real: -0.023337 Loss_D_fake -0.005278
[1584/5000][335/535][163509] Loss_D: -0.018919 Loss_G: 0.004158 Loss_D_real: -0.022064 Loss_D_fake -0.003145
[1584/5000][340/535][163510] Loss_D: -0.018223 Loss_G: -0.003398 Loss_D_real: -0.008277 Loss_D_fake 0.009945
[1584/5000][345/535][163511] Loss_D: -0.018593 Loss_G: -0.005629 Loss_D_real: -0.012863 Loss_D_fake 0.005730
[1584/5000][350/535][163512] Loss_D: -0.018474 Loss_G: 0.022777 Loss_D_real: -0.019081 Loss_D_fake -0.000607
[1584/5000][355/535][163513] Loss_D: -0.019763 Loss_G: 0.006986 Loss_D_real: -0.012686 Loss_D_fake 0.007076
[1584/5000][360/535][163514] Loss_D: -0.018620 Loss_G: 0.010935 Loss_D_real: -0.025960 Loss_D_fake -0.007340
[1584/5000][365/535][163515] Loss_D: -0.018859 Loss_G: 0.002226 Loss_D_real: -0.009805 Loss_D_fake 0.009055
[1584/5000][370/535][163516] Loss_D: -0.018813 Loss_G: 0.023029 Loss_D_real: -0.028456 Loss_D_fake -0.009643
[1584/5000][375/535][163517] Loss_D: -0.017802 Loss_G: -0.003010 Loss_D_real: -0.005768 Loss_D_fake 0.012034
[1584/5000][380/535][163518] Loss_D: -0.020568 Loss_G: 0.008756 Loss_D_real: -0.019337 Loss_D_fake 0.001232
[1584/5000][385/535][163519] Loss_D: -0.018672 Loss_G: -0.001627 Loss_D_real: -0.023728 Loss_D_fake -0.005056
[1584/5000][390/535][163520] Loss_D: -0.020345 Loss_G: 0.007440 Loss_D_real: -0.006368 Loss_D_fake 0.013977
[1584/5000][395/535][163521] Loss_D: -0.020431 Loss_G: 0.011532 Loss_D_real: -0.020264 Loss_D_fake 0.000167
[1584/5000][400/535][163522] Loss_D: -0.020183 Loss_G: 0.011929 Loss_D_real: -0.016933 Loss_D_fake 0.003251
[1584/5000][405/535][163523] Loss_D: -0.019853 Loss_G: 0.031710 Loss_D_real: -0.014771 Loss_D_fake 0.005082
[1584/5000][410/535][163524] Loss_D: -0.018629 Loss_G: 0.021194 Loss_D_real: -0.022788 Loss_D_fake -0.004159
[1584/5000][415/535][163525] Loss_D: -0.021045 Loss_G: 0.003163 Loss_D_real: -0.026491 Loss_D_fake -0.005445
[1584/5000][420/535][163526] Loss_D: -0.019673 Loss_G: -0.018171 Loss_D_real: 0.001186 Loss_D_fake 0.020859
[1584/5000][425/535][163527] Loss_D: -0.018019 Loss_G: 0.009030 Loss_D_real: -0.008489 Loss_D_fake 0.009530
[1584/5000][430/535][163528] Loss_D: -0.018512 Loss_G: -0.003292 Loss_D_real: -0.007910 Loss_D_fake 0.010602
[1584/5000][435/535][163529] Loss_D: -0.018622 Loss_G: -0.001988 Loss_D_real: -0.004805 Loss_D_fake 0.013816
[1584/5000][440/535][163530] Loss_D: -0.019056 Loss_G: 0.023194 Loss_D_real: -0.025788 Loss_D_fake -0.006732
[1584/5000][445/535][163531] Loss_D: -0.018334 Loss_G: 0.007562 Loss_D_real: -0.008354 Loss_D_fake 0.009980
[1584/5000][450/535][163532] Loss_D: -0.019156 Loss_G: 0.005840 Loss_D_real: -0.029744 Loss_D_fake -0.010588
[1584/5000][455/535][163533] Loss_D: -0.019581 Loss_G: 0.012648 Loss_D_real: -0.010002 Loss_D_fake 0.009579
[1584/5000][460/535][163534] Loss_D: -0.017326 Loss_G: 0.024034 Loss_D_real: -0.029376 Loss_D_fake -0.012050
[1584/5000][465/535][163535] Loss_D: -0.018892 Loss_G: 0.018170 Loss_D_real: -0.017104 Loss_D_fake 0.001789
[1584/5000][470/535][163536] Loss_D: -0.018145 Loss_G: 0.006332 Loss_D_real: -0.019849 Loss_D_fake -0.001704
[1584/5000][475/535][163537] Loss_D: -0.018658 Loss_G: -0.003015 Loss_D_real: -0.012214 Loss_D_fake 0.006444
[1584/5000][480/535][163538] Loss_D: -0.020201 Loss_G: 0.000234 Loss_D_real: -0.025143 Loss_D_fake -0.004941
[1584/5000][485/535][163539] Loss_D: -0.019012 Loss_G: 0.002616 Loss_D_real: -0.006545 Loss_D_fake 0.012467
[1584/5000][490/535][163540] Loss_D: -0.021045 Loss_G: 0.013836 Loss_D_real: -0.004157 Loss_D_fake 0.016888
[1584/5000][495/535][163541] Loss_D: -0.019018 Loss_G: 0.019821 Loss_D_real: -0.020807 Loss_D_fake -0.001789
[1584/5000][500/535][163542] Loss_D: -0.020737 Loss_G: -0.015260 Loss_D_real: -0.008814 Loss_D_fake 0.011923
[1584/5000][505/535][163543] Loss_D: -0.019568 Loss_G: -0.004086 Loss_D_real: -0.022537 Loss_D_fake -0.002969
[1584/5000][510/535][163544] Loss_D: -0.019188 Loss_G: 0.014002 Loss_D_real: -0.019122 Loss_D_fake 0.000066
[1584/5000][515/535][163545] Loss_D: -0.018222 Loss_G: 0.011065 Loss_D_real: -0.028979 Loss_D_fake -0.010757
[1584/5000][520/535][163546] Loss_D: -0.019542 Loss_G: 0.000334 Loss_D_real: -0.010968 Loss_D_fake 0.008574
[1584/5000][525/535][163547] Loss_D: -0.020526 Loss_G: 0.007964 Loss_D_real: -0.006071 Loss_D_fake 0.014454
[1584/5000][530/535][163548] Loss_D: -0.020099 Loss_G: 0.004925 Loss_D_real: -0.011551 Loss_D_fake 0.008549
[1584/5000][535/535][163549] Loss_D: -0.021613 Loss_G: 0.001236 Loss_D_real: -0.023014 Loss_D_fake -0.001401
[1585/5000][5/535][163550] Loss_D: -0.020103 Loss_G: -0.011810 Loss_D_real: -0.006360 Loss_D_fake 0.013742
[1585/5000][10/535][163551] Loss_D: -0.019898 Loss_G: 0.009139 Loss_D_real: -0.008752 Loss_D_fake 0.011146
[1585/5000][15/535][163552] Loss_D: -0.019392 Loss_G: 0.005238 Loss_D_real: -0.011512 Loss_D_fake 0.007880
[1585/5000][20/535][163553] Loss_D: -0.018787 Loss_G: -0.003124 Loss_D_real: -0.008081 Loss_D_fake 0.010706
[1585/5000][25/535][163554] Loss_D: -0.018828 Loss_G: 0.016048 Loss_D_real: -0.016849 Loss_D_fake 0.001979
[1585/5000][30/535][163555] Loss_D: -0.017839 Loss_G: 0.023283 Loss_D_real: -0.033937 Loss_D_fake -0.016098
[1585/5000][35/535][163556] Loss_D: -0.020174 Loss_G: -0.010012 Loss_D_real: -0.001777 Loss_D_fake 0.018397
[1585/5000][40/535][163557] Loss_D: -0.019153 Loss_G: 0.007005 Loss_D_real: -0.018574 Loss_D_fake 0.000579
[1585/5000][45/535][163558] Loss_D: -0.019120 Loss_G: 0.005010 Loss_D_real: -0.022786 Loss_D_fake -0.003666
[1585/5000][50/535][163559] Loss_D: -0.018171 Loss_G: 0.013485 Loss_D_real: -0.027907 Loss_D_fake -0.009735
[1585/5000][55/535][163560] Loss_D: -0.018118 Loss_G: 0.016612 Loss_D_real: -0.026810 Loss_D_fake -0.008693
[1585/5000][60/535][163561] Loss_D: -0.019387 Loss_G: -0.000688 Loss_D_real: -0.003915 Loss_D_fake 0.015472
[1585/5000][65/535][163562] Loss_D: -0.018443 Loss_G: 0.009561 Loss_D_real: -0.008737 Loss_D_fake 0.009706
[1585/5000][70/535][163563] Loss_D: -0.018707 Loss_G: 0.001833 Loss_D_real: -0.017072 Loss_D_fake 0.001635
[1585/5000][75/535][163564] Loss_D: -0.019296 Loss_G: 0.012052 Loss_D_real: -0.025362 Loss_D_fake -0.006066
[1585/5000][80/535][163565] Loss_D: -0.019632 Loss_G: 0.005066 Loss_D_real: -0.012458 Loss_D_fake 0.007174
[1585/5000][85/535][163566] Loss_D: -0.019082 Loss_G: -0.006510 Loss_D_real: -0.011489 Loss_D_fake 0.007593
[1585/5000][90/535][163567] Loss_D: -0.018547 Loss_G: 0.022663 Loss_D_real: -0.032542 Loss_D_fake -0.013996
[1585/5000][95/535][163568] Loss_D: -0.019443 Loss_G: -0.001314 Loss_D_real: -0.013445 Loss_D_fake 0.005998
[1585/5000][100/535][163569] Loss_D: -0.020190 Loss_G: 0.007642 Loss_D_real: -0.020081 Loss_D_fake 0.000109
[1585/5000][105/535][163570] Loss_D: -0.019644 Loss_G: 0.016221 Loss_D_real: -0.014205 Loss_D_fake 0.005440
[1585/5000][110/535][163571] Loss_D: -0.019022 Loss_G: -0.008945 Loss_D_real: -0.006070 Loss_D_fake 0.012952
[1585/5000][115/535][163572] Loss_D: -0.019675 Loss_G: 0.003207 Loss_D_real: 0.004136 Loss_D_fake 0.023811
[1585/5000][120/535][163573] Loss_D: -0.018272 Loss_G: -0.012361 Loss_D_real: -0.011333 Loss_D_fake 0.006939
[1585/5000][125/535][163574] Loss_D: -0.019083 Loss_G: -0.001520 Loss_D_real: -0.002990 Loss_D_fake 0.016093
[1585/5000][130/535][163575] Loss_D: -0.019703 Loss_G: -0.005067 Loss_D_real: -0.026837 Loss_D_fake -0.007134
[1585/5000][135/535][163576] Loss_D: -0.017935 Loss_G: 0.007581 Loss_D_real: -0.022886 Loss_D_fake -0.004952
[1585/5000][140/535][163577] Loss_D: -0.018329 Loss_G: 0.016801 Loss_D_real: -0.027218 Loss_D_fake -0.008889
[1585/5000][145/535][163578] Loss_D: -0.019160 Loss_G: 0.013558 Loss_D_real: -0.018351 Loss_D_fake 0.000810
[1585/5000][150/535][163579] Loss_D: -0.018837 Loss_G: -0.002410 Loss_D_real: -0.016135 Loss_D_fake 0.002702
[1585/5000][155/535][163580] Loss_D: -0.018813 Loss_G: 0.020749 Loss_D_real: -0.015013 Loss_D_fake 0.003800
[1585/5000][160/535][163581] Loss_D: -0.018438 Loss_G: 0.002773 Loss_D_real: -0.025214 Loss_D_fake -0.006776
[1585/5000][165/535][163582] Loss_D: -0.019384 Loss_G: -0.009650 Loss_D_real: -0.010664 Loss_D_fake 0.008719
[1585/5000][170/535][163583] Loss_D: -0.018987 Loss_G: 0.027438 Loss_D_real: -0.037024 Loss_D_fake -0.018037
[1585/5000][175/535][163584] Loss_D: -0.019564 Loss_G: 0.011822 Loss_D_real: -0.022753 Loss_D_fake -0.003189
[1585/5000][180/535][163585] Loss_D: -0.019122 Loss_G: -0.020549 Loss_D_real: -0.001565 Loss_D_fake 0.017557
[1585/5000][185/535][163586] Loss_D: -0.018558 Loss_G: 0.017554 Loss_D_real: -0.024497 Loss_D_fake -0.005940
[1585/5000][190/535][163587] Loss_D: -0.020096 Loss_G: 0.037319 Loss_D_real: -0.021423 Loss_D_fake -0.001328
[1585/5000][195/535][163588] Loss_D: -0.018963 Loss_G: 0.019310 Loss_D_real: -0.026443 Loss_D_fake -0.007480
[1585/5000][200/535][163589] Loss_D: -0.019224 Loss_G: 0.003758 Loss_D_real: -0.014806 Loss_D_fake 0.004419
[1585/5000][205/535][163590] Loss_D: -0.018465 Loss_G: 0.018481 Loss_D_real: -0.024337 Loss_D_fake -0.005872
[1585/5000][210/535][163591] Loss_D: -0.019801 Loss_G: 0.004287 Loss_D_real: -0.017651 Loss_D_fake 0.002151
[1585/5000][215/535][163592] Loss_D: -0.019044 Loss_G: -0.010073 Loss_D_real: -0.002114 Loss_D_fake 0.016930
[1585/5000][220/535][163593] Loss_D: -0.019706 Loss_G: 0.010663 Loss_D_real: -0.012670 Loss_D_fake 0.007035
[1585/5000][225/535][163594] Loss_D: -0.019923 Loss_G: 0.006731 Loss_D_real: -0.011407 Loss_D_fake 0.008515
[1585/5000][230/535][163595] Loss_D: -0.018653 Loss_G: 0.016734 Loss_D_real: -0.024893 Loss_D_fake -0.006240
[1585/5000][235/535][163596] Loss_D: -0.019703 Loss_G: 0.005133 Loss_D_real: -0.008567 Loss_D_fake 0.011135
[1585/5000][240/535][163597] Loss_D: -0.021268 Loss_G: 0.019698 Loss_D_real: -0.018219 Loss_D_fake 0.003049
[1585/5000][245/535][163598] Loss_D: -0.018265 Loss_G: 0.002559 Loss_D_real: -0.028587 Loss_D_fake -0.010323
[1585/5000][250/535][163599] Loss_D: -0.019994 Loss_G: 0.014911 Loss_D_real: -0.016103 Loss_D_fake 0.003890
[1585/5000][255/535][163600] Loss_D: -0.020715 Loss_G: 0.008696 Loss_D_real: -0.027891 Loss_D_fake -0.007176
[1585/5000][260/535][163601] Loss_D: -0.019641 Loss_G: -0.006220 Loss_D_real: -0.014926 Loss_D_fake 0.004715
[1585/5000][265/535][163602] Loss_D: -0.018893 Loss_G: 0.003055 Loss_D_real: -0.021714 Loss_D_fake -0.002821
[1585/5000][270/535][163603] Loss_D: -0.017372 Loss_G: 0.002478 Loss_D_real: -0.018352 Loss_D_fake -0.000980
[1585/5000][275/535][163604] Loss_D: -0.016901 Loss_G: 0.016787 Loss_D_real: -0.022974 Loss_D_fake -0.006073
[1585/5000][280/535][163605] Loss_D: -0.018449 Loss_G: -0.004455 Loss_D_real: -0.005893 Loss_D_fake 0.012556
[1585/5000][285/535][163606] Loss_D: -0.019296 Loss_G: 0.002835 Loss_D_real: -0.020017 Loss_D_fake -0.000721
[1585/5000][290/535][163607] Loss_D: -0.018868 Loss_G: -0.010833 Loss_D_real: -0.003478 Loss_D_fake 0.015390
[1585/5000][295/535][163608] Loss_D: -0.018596 Loss_G: 0.003993 Loss_D_real: -0.000023 Loss_D_fake 0.018573
[1585/5000][300/535][163609] Loss_D: -0.019954 Loss_G: 0.009053 Loss_D_real: -0.013976 Loss_D_fake 0.005978
[1585/5000][305/535][163610] Loss_D: -0.018873 Loss_G: -0.006063 Loss_D_real: -0.012528 Loss_D_fake 0.006345
[1585/5000][310/535][163611] Loss_D: -0.019394 Loss_G: 0.004106 Loss_D_real: -0.014528 Loss_D_fake 0.004865
[1585/5000][315/535][163612] Loss_D: -0.019590 Loss_G: 0.015176 Loss_D_real: -0.025164 Loss_D_fake -0.005575
[1585/5000][320/535][163613] Loss_D: -0.018920 Loss_G: 0.000541 Loss_D_real: -0.014757 Loss_D_fake 0.004163
[1585/5000][325/535][163614] Loss_D: -0.018947 Loss_G: 0.003213 Loss_D_real: -0.013238 Loss_D_fake 0.005709
[1585/5000][330/535][163615] Loss_D: -0.019794 Loss_G: 0.010710 Loss_D_real: -0.016320 Loss_D_fake 0.003474
[1585/5000][335/535][163616] Loss_D: -0.017966 Loss_G: 0.003999 Loss_D_real: -0.011123 Loss_D_fake 0.006843
[1585/5000][340/535][163617] Loss_D: -0.017832 Loss_G: 0.024546 Loss_D_real: -0.032580 Loss_D_fake -0.014748
[1585/5000][345/535][163618] Loss_D: -0.018962 Loss_G: 0.009634 Loss_D_real: -0.021098 Loss_D_fake -0.002137
[1585/5000][350/535][163619] Loss_D: -0.019566 Loss_G: 0.017344 Loss_D_real: -0.026492 Loss_D_fake -0.006926
[1585/5000][355/535][163620] Loss_D: -0.019912 Loss_G: 0.004990 Loss_D_real: -0.016322 Loss_D_fake 0.003590
[1585/5000][360/535][163621] Loss_D: -0.018526 Loss_G: 0.030608 Loss_D_real: -0.023646 Loss_D_fake -0.005120
[1585/5000][365/535][163622] Loss_D: -0.019906 Loss_G: -0.010429 Loss_D_real: -0.001750 Loss_D_fake 0.018156
[1585/5000][370/535][163623] Loss_D: -0.018499 Loss_G: 0.010760 Loss_D_real: -0.000865 Loss_D_fake 0.017634
[1585/5000][375/535][163624] Loss_D: -0.018463 Loss_G: 0.029422 Loss_D_real: -0.029318 Loss_D_fake -0.010855
[1585/5000][380/535][163625] Loss_D: -0.019304 Loss_G: 0.017315 Loss_D_real: -0.030273 Loss_D_fake -0.010969
[1585/5000][385/535][163626] Loss_D: -0.020461 Loss_G: 0.004074 Loss_D_real: -0.019782 Loss_D_fake 0.000680
[1585/5000][390/535][163627] Loss_D: -0.020378 Loss_G: 0.009978 Loss_D_real: -0.020465 Loss_D_fake -0.000087
[1585/5000][395/535][163628] Loss_D: -0.020019 Loss_G: 0.004474 Loss_D_real: -0.019027 Loss_D_fake 0.000992
[1585/5000][400/535][163629] Loss_D: -0.019880 Loss_G: -0.001531 Loss_D_real: -0.012122 Loss_D_fake 0.007758
[1585/5000][405/535][163630] Loss_D: -0.018828 Loss_G: 0.011532 Loss_D_real: -0.026804 Loss_D_fake -0.007977
[1585/5000][410/535][163631] Loss_D: -0.020874 Loss_G: 0.005231 Loss_D_real: -0.025820 Loss_D_fake -0.004945
[1585/5000][415/535][163632] Loss_D: -0.021420 Loss_G: 0.009832 Loss_D_real: -0.021119 Loss_D_fake 0.000301
[1585/5000][420/535][163633] Loss_D: -0.020865 Loss_G: 0.003717 Loss_D_real: -0.015617 Loss_D_fake 0.005248
[1585/5000][425/535][163634] Loss_D: -0.018080 Loss_G: 0.008849 Loss_D_real: -0.010545 Loss_D_fake 0.007535
[1585/5000][430/535][163635] Loss_D: -0.019168 Loss_G: 0.003826 Loss_D_real: -0.023210 Loss_D_fake -0.004042
[1585/5000][435/535][163636] Loss_D: -0.019623 Loss_G: 0.019473 Loss_D_real: -0.021746 Loss_D_fake -0.002123
[1585/5000][440/535][163637] Loss_D: -0.019912 Loss_G: -0.010439 Loss_D_real: -0.005247 Loss_D_fake 0.014666
[1585/5000][445/535][163638] Loss_D: -0.018452 Loss_G: 0.014734 Loss_D_real: -0.034868 Loss_D_fake -0.016417
[1585/5000][450/535][163639] Loss_D: -0.019035 Loss_G: 0.007143 Loss_D_real: -0.013491 Loss_D_fake 0.005544
[1585/5000][455/535][163640] Loss_D: -0.017774 Loss_G: 0.023499 Loss_D_real: -0.032634 Loss_D_fake -0.014861
[1585/5000][460/535][163641] Loss_D: -0.018774 Loss_G: 0.013080 Loss_D_real: -0.027651 Loss_D_fake -0.008878
[1585/5000][465/535][163642] Loss_D: -0.018661 Loss_G: 0.010495 Loss_D_real: -0.035827 Loss_D_fake -0.017166
[1585/5000][470/535][163643] Loss_D: -0.019176 Loss_G: 0.004209 Loss_D_real: 0.001484 Loss_D_fake 0.020660
[1585/5000][475/535][163644] Loss_D: -0.018285 Loss_G: 0.026938 Loss_D_real: -0.020194 Loss_D_fake -0.001908
[1585/5000][480/535][163645] Loss_D: -0.021235 Loss_G: -0.002985 Loss_D_real: -0.020617 Loss_D_fake 0.000618
[1585/5000][485/535][163646] Loss_D: -0.018983 Loss_G: -0.003178 Loss_D_real: 0.007878 Loss_D_fake 0.026861
[1585/5000][490/535][163647] Loss_D: -0.018781 Loss_G: -0.000958 Loss_D_real: -0.006656 Loss_D_fake 0.012126
[1585/5000][495/535][163648] Loss_D: -0.018604 Loss_G: 0.016835 Loss_D_real: -0.034459 Loss_D_fake -0.015854
[1585/5000][500/535][163649] Loss_D: -0.019999 Loss_G: 0.007271 Loss_D_real: -0.014539 Loss_D_fake 0.005460
[1585/5000][505/535][163650] Loss_D: -0.019019 Loss_G: 0.016936 Loss_D_real: -0.031588 Loss_D_fake -0.012569
[1585/5000][510/535][163651] Loss_D: -0.019185 Loss_G: 0.017090 Loss_D_real: -0.022515 Loss_D_fake -0.003331
[1585/5000][515/535][163652] Loss_D: -0.018409 Loss_G: -0.015272 Loss_D_real: -0.007365 Loss_D_fake 0.011044
[1585/5000][520/535][163653] Loss_D: -0.018065 Loss_G: -0.006574 Loss_D_real: -0.013755 Loss_D_fake 0.004310
[1585/5000][525/535][163654] Loss_D: -0.019093 Loss_G: -0.006983 Loss_D_real: -0.008050 Loss_D_fake 0.011043
[1585/5000][530/535][163655] Loss_D: -0.019104 Loss_G: -0.009224 Loss_D_real: -0.014503 Loss_D_fake 0.004601
[1585/5000][535/535][163656] Loss_D: -0.022686 Loss_G: 0.011154 Loss_D_real: -0.012965 Loss_D_fake 0.009721
[1586/5000][5/535][163657] Loss_D: -0.018480 Loss_G: 0.009750 Loss_D_real: -0.002050 Loss_D_fake 0.016431
[1586/5000][10/535][163658] Loss_D: -0.019703 Loss_G: 0.003016 Loss_D_real: -0.009534 Loss_D_fake 0.010169
[1586/5000][15/535][163659] Loss_D: -0.019719 Loss_G: 0.011306 Loss_D_real: 0.002697 Loss_D_fake 0.022416
[1586/5000][20/535][163660] Loss_D: -0.019381 Loss_G: -0.009762 Loss_D_real: -0.001738 Loss_D_fake 0.017643
[1586/5000][25/535][163661] Loss_D: -0.019248 Loss_G: -0.016473 Loss_D_real: -0.006845 Loss_D_fake 0.012403
[1586/5000][30/535][163662] Loss_D: -0.018945 Loss_G: 0.003920 Loss_D_real: -0.014620 Loss_D_fake 0.004325
[1586/5000][35/535][163663] Loss_D: -0.017399 Loss_G: 0.010221 Loss_D_real: -0.012398 Loss_D_fake 0.005001
[1586/5000][40/535][163664] Loss_D: -0.018812 Loss_G: 0.010953 Loss_D_real: -0.034004 Loss_D_fake -0.015192
[1586/5000][45/535][163665] Loss_D: -0.020072 Loss_G: 0.014482 Loss_D_real: -0.018520 Loss_D_fake 0.001552
[1586/5000][50/535][163666] Loss_D: -0.018353 Loss_G: 0.018667 Loss_D_real: -0.022976 Loss_D_fake -0.004622
[1586/5000][55/535][163667] Loss_D: -0.018402 Loss_G: 0.012879 Loss_D_real: -0.013471 Loss_D_fake 0.004931
[1586/5000][60/535][163668] Loss_D: -0.018329 Loss_G: 0.002852 Loss_D_real: -0.023367 Loss_D_fake -0.005038
[1586/5000][65/535][163669] Loss_D: -0.020048 Loss_G: -0.020919 Loss_D_real: -0.005545 Loss_D_fake 0.014504
[1586/5000][70/535][163670] Loss_D: -0.018833 Loss_G: -0.006687 Loss_D_real: -0.012286 Loss_D_fake 0.006546
[1586/5000][75/535][163671] Loss_D: -0.019270 Loss_G: 0.012028 Loss_D_real: -0.026462 Loss_D_fake -0.007192
[1586/5000][80/535][163672] Loss_D: -0.018047 Loss_G: 0.008441 Loss_D_real: -0.018230 Loss_D_fake -0.000183
[1586/5000][85/535][163673] Loss_D: -0.019452 Loss_G: 0.015966 Loss_D_real: -0.004887 Loss_D_fake 0.014566
[1586/5000][90/535][163674] Loss_D: -0.018831 Loss_G: 0.012377 Loss_D_real: -0.013502 Loss_D_fake 0.005329
[1586/5000][95/535][163675] Loss_D: -0.019570 Loss_G: 0.009306 Loss_D_real: -0.009313 Loss_D_fake 0.010257
[1586/5000][100/535][163676] Loss_D: -0.019912 Loss_G: 0.018112 Loss_D_real: -0.028162 Loss_D_fake -0.008250
[1586/5000][105/535][163677] Loss_D: -0.018920 Loss_G: 0.025721 Loss_D_real: -0.027465 Loss_D_fake -0.008545
[1586/5000][110/535][163678] Loss_D: -0.019428 Loss_G: 0.004210 Loss_D_real: -0.002005 Loss_D_fake 0.017423
[1586/5000][115/535][163679] Loss_D: -0.020473 Loss_G: -0.008576 Loss_D_real: -0.015305 Loss_D_fake 0.005168
[1586/5000][120/535][163680] Loss_D: -0.018939 Loss_G: 0.007370 Loss_D_real: -0.021290 Loss_D_fake -0.002351
[1586/5000][125/535][163681] Loss_D: -0.020122 Loss_G: 0.021317 Loss_D_real: -0.016440 Loss_D_fake 0.003682
[1586/5000][130/535][163682] Loss_D: -0.017975 Loss_G: 0.004092 Loss_D_real: -0.020275 Loss_D_fake -0.002300
[1586/5000][135/535][163683] Loss_D: -0.019386 Loss_G: 0.014247 Loss_D_real: -0.022107 Loss_D_fake -0.002721
[1586/5000][140/535][163684] Loss_D: -0.019413 Loss_G: -0.006777 Loss_D_real: -0.006758 Loss_D_fake 0.012655
[1586/5000][145/535][163685] Loss_D: -0.017892 Loss_G: 0.001129 Loss_D_real: -0.008640 Loss_D_fake 0.009252
[1586/5000][150/535][163686] Loss_D: -0.018664 Loss_G: 0.014518 Loss_D_real: -0.016260 Loss_D_fake 0.002403
[1586/5000][155/535][163687] Loss_D: -0.018941 Loss_G: 0.007904 Loss_D_real: 0.000403 Loss_D_fake 0.019344
[1586/5000][160/535][163688] Loss_D: -0.021085 Loss_G: -0.003097 Loss_D_real: -0.023433 Loss_D_fake -0.002348
[1586/5000][165/535][163689] Loss_D: -0.018110 Loss_G: -0.002478 Loss_D_real: -0.001037 Loss_D_fake 0.017073
[1586/5000][170/535][163690] Loss_D: -0.018279 Loss_G: 0.000074 Loss_D_real: -0.009884 Loss_D_fake 0.008395
[1586/5000][175/535][163691] Loss_D: -0.018859 Loss_G: 0.002737 Loss_D_real: -0.006721 Loss_D_fake 0.012137
[1586/5000][180/535][163692] Loss_D: -0.018268 Loss_G: 0.007947 Loss_D_real: -0.020565 Loss_D_fake -0.002296
[1586/5000][185/535][163693] Loss_D: -0.019191 Loss_G: -0.000610 Loss_D_real: -0.019696 Loss_D_fake -0.000505
[1586/5000][190/535][163694] Loss_D: -0.018823 Loss_G: 0.008786 Loss_D_real: -0.020675 Loss_D_fake -0.001852
[1586/5000][195/535][163695] Loss_D: -0.019115 Loss_G: 0.001218 Loss_D_real: -0.014252 Loss_D_fake 0.004863
[1586/5000][200/535][163696] Loss_D: -0.020092 Loss_G: 0.008307 Loss_D_real: -0.001308 Loss_D_fake 0.018784
[1586/5000][205/535][163697] Loss_D: -0.017878 Loss_G: -0.001726 Loss_D_real: -0.011628 Loss_D_fake 0.006250
[1586/5000][210/535][163698] Loss_D: -0.019175 Loss_G: 0.009688 Loss_D_real: -0.013211 Loss_D_fake 0.005964
[1586/5000][215/535][163699] Loss_D: -0.018886 Loss_G: 0.015241 Loss_D_real: -0.028083 Loss_D_fake -0.009197
[1586/5000][220/535][163700] Loss_D: -0.019886 Loss_G: 0.002055 Loss_D_real: -0.004859 Loss_D_fake 0.015027
[1586/5000][225/535][163701] Loss_D: -0.016643 Loss_G: 0.017526 Loss_D_real: -0.021623 Loss_D_fake -0.004980
[1586/5000][230/535][163702] Loss_D: -0.019237 Loss_G: 0.000767 Loss_D_real: -0.011293 Loss_D_fake 0.007944
[1586/5000][235/535][163703] Loss_D: -0.021132 Loss_G: 0.003507 Loss_D_real: -0.020633 Loss_D_fake 0.000499
[1586/5000][240/535][163704] Loss_D: -0.019555 Loss_G: 0.004158 Loss_D_real: -0.015413 Loss_D_fake 0.004143
[1586/5000][245/535][163705] Loss_D: -0.021776 Loss_G: 0.009329 Loss_D_real: -0.027621 Loss_D_fake -0.005845
[1586/5000][250/535][163706] Loss_D: -0.021523 Loss_G: -0.004242 Loss_D_real: -0.015654 Loss_D_fake 0.005869
[1586/5000][255/535][163707] Loss_D: -0.020137 Loss_G: 0.009694 Loss_D_real: -0.013104 Loss_D_fake 0.007033
[1586/5000][260/535][163708] Loss_D: -0.020814 Loss_G: 0.013420 Loss_D_real: -0.024626 Loss_D_fake -0.003812
[1586/5000][265/535][163709] Loss_D: -0.019691 Loss_G: 0.021193 Loss_D_real: -0.019670 Loss_D_fake 0.000021
[1586/5000][270/535][163710] Loss_D: -0.019926 Loss_G: 0.005118 Loss_D_real: -0.022646 Loss_D_fake -0.002720
[1586/5000][275/535][163711] Loss_D: -0.019685 Loss_G: 0.014758 Loss_D_real: -0.024917 Loss_D_fake -0.005231
[1586/5000][280/535][163712] Loss_D: -0.018869 Loss_G: 0.001430 Loss_D_real: -0.009703 Loss_D_fake 0.009166
[1586/5000][285/535][163713] Loss_D: -0.019829 Loss_G: 0.023464 Loss_D_real: -0.025736 Loss_D_fake -0.005908
[1586/5000][290/535][163714] Loss_D: -0.020267 Loss_G: -0.003525 Loss_D_real: -0.014042 Loss_D_fake 0.006225
[1586/5000][295/535][163715] Loss_D: -0.018398 Loss_G: 0.014683 Loss_D_real: -0.021988 Loss_D_fake -0.003591
[1586/5000][300/535][163716] Loss_D: -0.018803 Loss_G: -0.004743 Loss_D_real: -0.005339 Loss_D_fake 0.013464
[1586/5000][305/535][163717] Loss_D: -0.018341 Loss_G: 0.023580 Loss_D_real: -0.026991 Loss_D_fake -0.008650
[1586/5000][310/535][163718] Loss_D: -0.019448 Loss_G: 0.000013 Loss_D_real: -0.010855 Loss_D_fake 0.008593
[1586/5000][315/535][163719] Loss_D: -0.019107 Loss_G: -0.015420 Loss_D_real: -0.004369 Loss_D_fake 0.014738
[1586/5000][320/535][163720] Loss_D: -0.020364 Loss_G: 0.004422 Loss_D_real: -0.018736 Loss_D_fake 0.001628
[1586/5000][325/535][163721] Loss_D: -0.019569 Loss_G: 0.018733 Loss_D_real: -0.019951 Loss_D_fake -0.000381
[1586/5000][330/535][163722] Loss_D: -0.020030 Loss_G: 0.015141 Loss_D_real: -0.031438 Loss_D_fake -0.011407
[1586/5000][335/535][163723] Loss_D: -0.017882 Loss_G: -0.015670 Loss_D_real: -0.003397 Loss_D_fake 0.014485
[1586/5000][340/535][163724] Loss_D: -0.020642 Loss_G: 0.027330 Loss_D_real: -0.018182 Loss_D_fake 0.002460
[1586/5000][345/535][163725] Loss_D: -0.019226 Loss_G: 0.015047 Loss_D_real: -0.015170 Loss_D_fake 0.004055
[1586/5000][350/535][163726] Loss_D: -0.017943 Loss_G: -0.002417 Loss_D_real: -0.005855 Loss_D_fake 0.012088
[1586/5000][355/535][163727] Loss_D: -0.019543 Loss_G: -0.002351 Loss_D_real: -0.015245 Loss_D_fake 0.004298
[1586/5000][360/535][163728] Loss_D: -0.018780 Loss_G: 0.002378 Loss_D_real: -0.006584 Loss_D_fake 0.012197
[1586/5000][365/535][163729] Loss_D: -0.018377 Loss_G: 0.006306 Loss_D_real: -0.012363 Loss_D_fake 0.006013
[1586/5000][370/535][163730] Loss_D: -0.018015 Loss_G: -0.003833 Loss_D_real: 0.009820 Loss_D_fake 0.027835
[1586/5000][375/535][163731] Loss_D: -0.020145 Loss_G: 0.020439 Loss_D_real: -0.015372 Loss_D_fake 0.004773
[1586/5000][380/535][163732] Loss_D: -0.018876 Loss_G: -0.007394 Loss_D_real: -0.002406 Loss_D_fake 0.016470
[1586/5000][385/535][163733] Loss_D: -0.019247 Loss_G: 0.019143 Loss_D_real: -0.029445 Loss_D_fake -0.010198
[1586/5000][390/535][163734] Loss_D: -0.019250 Loss_G: -0.001117 Loss_D_real: -0.016309 Loss_D_fake 0.002940
[1586/5000][395/535][163735] Loss_D: -0.020649 Loss_G: 0.007055 Loss_D_real: -0.014692 Loss_D_fake 0.005958
[1586/5000][400/535][163736] Loss_D: -0.016840 Loss_G: -0.019220 Loss_D_real: 0.006613 Loss_D_fake 0.023453
[1586/5000][405/535][163737] Loss_D: -0.019394 Loss_G: 0.015265 Loss_D_real: -0.029746 Loss_D_fake -0.010352
[1586/5000][410/535][163738] Loss_D: -0.019755 Loss_G: -0.001579 Loss_D_real: -0.013387 Loss_D_fake 0.006368
[1586/5000][415/535][163739] Loss_D: -0.018670 Loss_G: -0.001647 Loss_D_real: -0.016517 Loss_D_fake 0.002153
[1586/5000][420/535][163740] Loss_D: -0.018175 Loss_G: 0.006805 Loss_D_real: -0.005800 Loss_D_fake 0.012376
[1586/5000][425/535][163741] Loss_D: -0.018807 Loss_G: 0.004901 Loss_D_real: -0.008628 Loss_D_fake 0.010179
[1586/5000][430/535][163742] Loss_D: -0.019844 Loss_G: 0.007293 Loss_D_real: -0.010559 Loss_D_fake 0.009285
[1586/5000][435/535][163743] Loss_D: -0.018847 Loss_G: 0.011590 Loss_D_real: -0.016029 Loss_D_fake 0.002819
[1586/5000][440/535][163744] Loss_D: -0.019091 Loss_G: 0.006108 Loss_D_real: -0.020506 Loss_D_fake -0.001415
[1586/5000][445/535][163745] Loss_D: -0.017811 Loss_G: 0.017710 Loss_D_real: -0.023537 Loss_D_fake -0.005726
[1586/5000][450/535][163746] Loss_D: -0.018540 Loss_G: -0.003652 Loss_D_real: -0.003263 Loss_D_fake 0.015277
[1586/5000][455/535][163747] Loss_D: -0.018622 Loss_G: 0.031228 Loss_D_real: -0.024753 Loss_D_fake -0.006131
[1586/5000][460/535][163748] Loss_D: -0.017603 Loss_G: -0.000216 Loss_D_real: -0.002352 Loss_D_fake 0.015251
[1586/5000][465/535][163749] Loss_D: -0.018568 Loss_G: 0.016885 Loss_D_real: -0.022663 Loss_D_fake -0.004094
[1586/5000][470/535][163750] Loss_D: -0.018873 Loss_G: 0.025440 Loss_D_real: -0.024377 Loss_D_fake -0.005504
[1586/5000][475/535][163751] Loss_D: -0.019209 Loss_G: 0.001516 Loss_D_real: -0.023685 Loss_D_fake -0.004476
[1586/5000][480/535][163752] Loss_D: -0.019930 Loss_G: -0.000183 Loss_D_real: -0.018935 Loss_D_fake 0.000995
[1586/5000][485/535][163753] Loss_D: -0.019997 Loss_G: -0.010529 Loss_D_real: -0.009563 Loss_D_fake 0.010434
[1586/5000][490/535][163754] Loss_D: -0.018866 Loss_G: 0.006697 Loss_D_real: -0.005853 Loss_D_fake 0.013012
[1586/5000][495/535][163755] Loss_D: -0.020275 Loss_G: 0.004083 Loss_D_real: -0.020086 Loss_D_fake 0.000190
[1586/5000][500/535][163756] Loss_D: -0.017791 Loss_G: 0.025093 Loss_D_real: -0.027378 Loss_D_fake -0.009586
[1586/5000][505/535][163757] Loss_D: -0.017690 Loss_G: 0.006267 Loss_D_real: -0.010614 Loss_D_fake 0.007076
[1586/5000][510/535][163758] Loss_D: -0.018788 Loss_G: -0.005356 Loss_D_real: -0.007816 Loss_D_fake 0.010971
[1586/5000][515/535][163759] Loss_D: -0.019429 Loss_G: -0.001340 Loss_D_real: -0.017214 Loss_D_fake 0.002215
[1586/5000][520/535][163760] Loss_D: -0.019784 Loss_G: -0.004154 Loss_D_real: -0.014386 Loss_D_fake 0.005399
[1586/5000][525/535][163761] Loss_D: -0.018936 Loss_G: 0.010826 Loss_D_real: -0.017646 Loss_D_fake 0.001290
[1586/5000][530/535][163762] Loss_D: -0.018851 Loss_G: 0.002802 Loss_D_real: -0.010751 Loss_D_fake 0.008100
[1586/5000][535/535][163763] Loss_D: -0.018786 Loss_G: -0.025291 Loss_D_real: -0.018117 Loss_D_fake 0.000668
[1587/5000][5/535][163764] Loss_D: -0.020149 Loss_G: 0.028541 Loss_D_real: -0.014462 Loss_D_fake 0.005687
[1587/5000][10/535][163765] Loss_D: -0.018860 Loss_G: 0.011625 Loss_D_real: -0.016993 Loss_D_fake 0.001867
[1587/5000][15/535][163766] Loss_D: -0.019229 Loss_G: 0.012870 Loss_D_real: -0.025960 Loss_D_fake -0.006731
[1587/5000][20/535][163767] Loss_D: -0.018748 Loss_G: 0.014596 Loss_D_real: -0.014904 Loss_D_fake 0.003844
[1587/5000][25/535][163768] Loss_D: -0.017929 Loss_G: 0.003621 Loss_D_real: -0.025358 Loss_D_fake -0.007429
[1587/5000][30/535][163769] Loss_D: -0.018246 Loss_G: 0.014696 Loss_D_real: -0.038816 Loss_D_fake -0.020571
[1587/5000][35/535][163770] Loss_D: -0.018862 Loss_G: -0.002076 Loss_D_real: -0.021110 Loss_D_fake -0.002248
[1587/5000][40/535][163771] Loss_D: -0.019939 Loss_G: 0.014820 Loss_D_real: -0.021029 Loss_D_fake -0.001090
[1587/5000][45/535][163772] Loss_D: -0.019411 Loss_G: -0.001598 Loss_D_real: 0.004242 Loss_D_fake 0.023653
[1587/5000][50/535][163773] Loss_D: -0.019930 Loss_G: 0.012635 Loss_D_real: -0.024034 Loss_D_fake -0.004104
[1587/5000][55/535][163774] Loss_D: -0.019023 Loss_G: 0.023359 Loss_D_real: -0.030223 Loss_D_fake -0.011200
[1587/5000][60/535][163775] Loss_D: -0.019564 Loss_G: 0.013465 Loss_D_real: -0.026647 Loss_D_fake -0.007083
[1587/5000][65/535][163776] Loss_D: -0.017087 Loss_G: 0.020843 Loss_D_real: -0.011644 Loss_D_fake 0.005443
[1587/5000][70/535][163777] Loss_D: -0.018899 Loss_G: 0.001377 Loss_D_real: -0.010188 Loss_D_fake 0.008711
[1587/5000][75/535][163778] Loss_D: -0.019602 Loss_G: -0.008987 Loss_D_real: -0.007432 Loss_D_fake 0.012170
[1587/5000][80/535][163779] Loss_D: -0.019368 Loss_G: 0.015473 Loss_D_real: -0.014461 Loss_D_fake 0.004907
[1587/5000][85/535][163780] Loss_D: -0.018733 Loss_G: 0.012382 Loss_D_real: -0.013581 Loss_D_fake 0.005152
[1587/5000][90/535][163781] Loss_D: -0.020013 Loss_G: -0.000039 Loss_D_real: -0.008701 Loss_D_fake 0.011311
[1587/5000][95/535][163782] Loss_D: -0.019611 Loss_G: -0.015891 Loss_D_real: -0.008087 Loss_D_fake 0.011524
[1587/5000][100/535][163783] Loss_D: -0.018822 Loss_G: -0.007934 Loss_D_real: -0.006885 Loss_D_fake 0.011937
[1587/5000][105/535][163784] Loss_D: -0.019176 Loss_G: 0.026149 Loss_D_real: -0.019235 Loss_D_fake -0.000059
[1587/5000][110/535][163785] Loss_D: -0.019209 Loss_G: -0.005251 Loss_D_real: -0.012063 Loss_D_fake 0.007146
[1587/5000][115/535][163786] Loss_D: -0.018589 Loss_G: 0.010671 Loss_D_real: -0.024280 Loss_D_fake -0.005692
[1587/5000][120/535][163787] Loss_D: -0.019200 Loss_G: 0.003211 Loss_D_real: -0.012599 Loss_D_fake 0.006602
[1587/5000][125/535][163788] Loss_D: -0.020025 Loss_G: 0.011537 Loss_D_real: -0.018249 Loss_D_fake 0.001776
[1587/5000][130/535][163789] Loss_D: -0.018310 Loss_G: 0.007444 Loss_D_real: -0.037421 Loss_D_fake -0.019111
[1587/5000][135/535][163790] Loss_D: -0.017913 Loss_G: 0.021816 Loss_D_real: -0.014404 Loss_D_fake 0.003508
[1587/5000][140/535][163791] Loss_D: -0.018417 Loss_G: 0.010110 Loss_D_real: -0.023031 Loss_D_fake -0.004614
[1587/5000][145/535][163792] Loss_D: -0.020131 Loss_G: 0.001187 Loss_D_real: -0.024457 Loss_D_fake -0.004326
[1587/5000][150/535][163793] Loss_D: -0.020767 Loss_G: 0.006585 Loss_D_real: -0.020232 Loss_D_fake 0.000536
[1587/5000][155/535][163794] Loss_D: -0.020185 Loss_G: 0.013686 Loss_D_real: -0.012227 Loss_D_fake 0.007957
[1587/5000][160/535][163795] Loss_D: -0.018743 Loss_G: 0.006158 Loss_D_real: -0.003669 Loss_D_fake 0.015074
[1587/5000][165/535][163796] Loss_D: -0.018357 Loss_G: -0.000424 Loss_D_real: -0.003955 Loss_D_fake 0.014401
[1587/5000][170/535][163797] Loss_D: -0.019300 Loss_G: 0.012435 Loss_D_real: -0.018174 Loss_D_fake 0.001126
[1587/5000][175/535][163798] Loss_D: -0.018255 Loss_G: 0.026045 Loss_D_real: -0.017824 Loss_D_fake 0.000431
[1587/5000][180/535][163799] Loss_D: -0.020422 Loss_G: 0.004894 Loss_D_real: -0.016689 Loss_D_fake 0.003733
[1587/5000][185/535][163800] Loss_D: -0.019291 Loss_G: 0.006743 Loss_D_real: -0.019216 Loss_D_fake 0.000076
[1587/5000][190/535][163801] Loss_D: -0.019560 Loss_G: 0.019960 Loss_D_real: -0.018771 Loss_D_fake 0.000789
[1587/5000][195/535][163802] Loss_D: -0.020584 Loss_G: -0.017659 Loss_D_real: -0.002720 Loss_D_fake 0.017864
[1587/5000][200/535][163803] Loss_D: -0.018796 Loss_G: 0.001416 Loss_D_real: -0.010570 Loss_D_fake 0.008226
[1587/5000][205/535][163804] Loss_D: -0.019617 Loss_G: 0.010883 Loss_D_real: -0.019357 Loss_D_fake 0.000260
[1587/5000][210/535][163805] Loss_D: -0.019264 Loss_G: 0.009986 Loss_D_real: -0.014091 Loss_D_fake 0.005173
[1587/5000][215/535][163806] Loss_D: -0.018566 Loss_G: 0.011809 Loss_D_real: -0.007046 Loss_D_fake 0.011520
[1587/5000][220/535][163807] Loss_D: -0.019498 Loss_G: 0.008987 Loss_D_real: -0.012829 Loss_D_fake 0.006669
[1587/5000][225/535][163808] Loss_D: -0.018838 Loss_G: 0.026769 Loss_D_real: -0.028731 Loss_D_fake -0.009892
[1587/5000][230/535][163809] Loss_D: -0.019291 Loss_G: 0.010655 Loss_D_real: -0.023958 Loss_D_fake -0.004667
[1587/5000][235/535][163810] Loss_D: -0.018794 Loss_G: 0.010978 Loss_D_real: -0.019270 Loss_D_fake -0.000476
[1587/5000][240/535][163811] Loss_D: -0.019093 Loss_G: 0.005267 Loss_D_real: -0.012537 Loss_D_fake 0.006556
[1587/5000][245/535][163812] Loss_D: -0.019273 Loss_G: 0.001417 Loss_D_real: -0.019191 Loss_D_fake 0.000083
[1587/5000][250/535][163813] Loss_D: -0.017733 Loss_G: 0.021770 Loss_D_real: -0.024218 Loss_D_fake -0.006485
[1587/5000][255/535][163814] Loss_D: -0.019371 Loss_G: 0.010044 Loss_D_real: -0.038944 Loss_D_fake -0.019573
[1587/5000][260/535][163815] Loss_D: -0.018022 Loss_G: 0.013798 Loss_D_real: -0.025057 Loss_D_fake -0.007035
[1587/5000][265/535][163816] Loss_D: -0.018951 Loss_G: -0.007285 Loss_D_real: -0.001517 Loss_D_fake 0.017434
[1587/5000][270/535][163817] Loss_D: -0.018621 Loss_G: 0.015069 Loss_D_real: -0.033066 Loss_D_fake -0.014445
[1587/5000][275/535][163818] Loss_D: -0.019568 Loss_G: 0.011190 Loss_D_real: -0.014383 Loss_D_fake 0.005185
[1587/5000][280/535][163819] Loss_D: -0.018402 Loss_G: -0.012396 Loss_D_real: -0.001758 Loss_D_fake 0.016644
[1587/5000][285/535][163820] Loss_D: -0.019558 Loss_G: 0.002599 Loss_D_real: -0.017393 Loss_D_fake 0.002165
[1587/5000][290/535][163821] Loss_D: -0.019456 Loss_G: -0.009167 Loss_D_real: -0.007376 Loss_D_fake 0.012080
[1587/5000][295/535][163822] Loss_D: -0.018824 Loss_G: 0.002751 Loss_D_real: -0.010263 Loss_D_fake 0.008561
[1587/5000][300/535][163823] Loss_D: -0.020196 Loss_G: 0.020658 Loss_D_real: -0.000879 Loss_D_fake 0.019316
[1587/5000][305/535][163824] Loss_D: -0.017738 Loss_G: 0.022587 Loss_D_real: -0.028392 Loss_D_fake -0.010654
[1587/5000][310/535][163825] Loss_D: -0.018742 Loss_G: 0.008367 Loss_D_real: -0.014761 Loss_D_fake 0.003980
[1587/5000][315/535][163826] Loss_D: -0.019428 Loss_G: -0.010272 Loss_D_real: -0.005651 Loss_D_fake 0.013777
[1587/5000][320/535][163827] Loss_D: -0.020050 Loss_G: 0.022406 Loss_D_real: -0.009818 Loss_D_fake 0.010232
[1587/5000][325/535][163828] Loss_D: -0.019001 Loss_G: -0.001489 Loss_D_real: -0.007004 Loss_D_fake 0.011997
[1587/5000][330/535][163829] Loss_D: -0.018812 Loss_G: 0.012894 Loss_D_real: -0.036791 Loss_D_fake -0.017980
[1587/5000][335/535][163830] Loss_D: -0.019348 Loss_G: 0.015610 Loss_D_real: -0.015551 Loss_D_fake 0.003797
[1587/5000][340/535][163831] Loss_D: -0.019270 Loss_G: 0.017197 Loss_D_real: -0.023266 Loss_D_fake -0.003996
[1587/5000][345/535][163832] Loss_D: -0.018576 Loss_G: -0.012793 Loss_D_real: -0.006209 Loss_D_fake 0.012368
[1587/5000][350/535][163833] Loss_D: -0.018371 Loss_G: 0.008107 Loss_D_real: -0.021956 Loss_D_fake -0.003585
[1587/5000][355/535][163834] Loss_D: -0.019124 Loss_G: -0.016846 Loss_D_real: -0.006006 Loss_D_fake 0.013118
[1587/5000][360/535][163835] Loss_D: -0.018821 Loss_G: 0.006754 Loss_D_real: -0.024845 Loss_D_fake -0.006025
[1587/5000][365/535][163836] Loss_D: -0.017351 Loss_G: 0.019113 Loss_D_real: -0.034198 Loss_D_fake -0.016847
[1587/5000][370/535][163837] Loss_D: -0.018008 Loss_G: -0.010561 Loss_D_real: 0.000250 Loss_D_fake 0.018259
[1587/5000][375/535][163838] Loss_D: -0.019049 Loss_G: -0.008963 Loss_D_real: -0.007885 Loss_D_fake 0.011164
[1587/5000][380/535][163839] Loss_D: -0.019099 Loss_G: -0.002748 Loss_D_real: -0.010592 Loss_D_fake 0.008507
[1587/5000][385/535][163840] Loss_D: -0.019334 Loss_G: 0.031401 Loss_D_real: -0.011772 Loss_D_fake 0.007562
[1587/5000][390/535][163841] Loss_D: -0.019273 Loss_G: -0.009494 Loss_D_real: -0.023521 Loss_D_fake -0.004248
[1587/5000][395/535][163842] Loss_D: -0.018343 Loss_G: 0.019737 Loss_D_real: -0.017633 Loss_D_fake 0.000710
[1587/5000][400/535][163843] Loss_D: -0.018745 Loss_G: 0.003203 Loss_D_real: -0.004111 Loss_D_fake 0.014634
[1587/5000][405/535][163844] Loss_D: -0.018774 Loss_G: 0.022014 Loss_D_real: -0.019453 Loss_D_fake -0.000679
[1587/5000][410/535][163845] Loss_D: -0.019117 Loss_G: 0.005542 Loss_D_real: -0.015418 Loss_D_fake 0.003699
[1587/5000][415/535][163846] Loss_D: -0.018268 Loss_G: 0.007099 Loss_D_real: -0.005728 Loss_D_fake 0.012540
[1587/5000][420/535][163847] Loss_D: -0.018634 Loss_G: 0.017326 Loss_D_real: -0.010555 Loss_D_fake 0.008079
[1587/5000][425/535][163848] Loss_D: -0.017779 Loss_G: 0.005388 Loss_D_real: -0.019207 Loss_D_fake -0.001429
[1587/5000][430/535][163849] Loss_D: -0.019359 Loss_G: 0.004196 Loss_D_real: -0.015483 Loss_D_fake 0.003876
[1587/5000][435/535][163850] Loss_D: -0.018379 Loss_G: 0.004282 Loss_D_real: -0.032969 Loss_D_fake -0.014590
[1587/5000][440/535][163851] Loss_D: -0.019918 Loss_G: 0.027902 Loss_D_real: -0.019974 Loss_D_fake -0.000057
[1587/5000][445/535][163852] Loss_D: -0.019600 Loss_G: 0.000122 Loss_D_real: -0.022502 Loss_D_fake -0.002902
[1587/5000][450/535][163853] Loss_D: -0.020390 Loss_G: 0.017307 Loss_D_real: -0.019088 Loss_D_fake 0.001302
[1587/5000][455/535][163854] Loss_D: -0.020084 Loss_G: 0.008532 Loss_D_real: -0.021800 Loss_D_fake -0.001716
[1587/5000][460/535][163855] Loss_D: -0.019454 Loss_G: -0.004513 Loss_D_real: -0.018361 Loss_D_fake 0.001093
[1587/5000][465/535][163856] Loss_D: -0.018947 Loss_G: 0.012112 Loss_D_real: -0.017046 Loss_D_fake 0.001901
[1587/5000][470/535][163857] Loss_D: -0.019046 Loss_G: -0.008941 Loss_D_real: -0.007319 Loss_D_fake 0.011727
[1587/5000][475/535][163858] Loss_D: -0.018887 Loss_G: 0.020665 Loss_D_real: -0.022680 Loss_D_fake -0.003793
[1587/5000][480/535][163859] Loss_D: -0.019449 Loss_G: 0.012528 Loss_D_real: -0.019583 Loss_D_fake -0.000134
[1587/5000][485/535][163860] Loss_D: -0.018900 Loss_G: 0.001805 Loss_D_real: -0.003929 Loss_D_fake 0.014970
[1587/5000][490/535][163861] Loss_D: -0.018192 Loss_G: 0.005835 Loss_D_real: -0.022527 Loss_D_fake -0.004335
[1587/5000][495/535][163862] Loss_D: -0.019147 Loss_G: 0.010807 Loss_D_real: -0.030370 Loss_D_fake -0.011223
[1587/5000][500/535][163863] Loss_D: -0.019457 Loss_G: 0.018475 Loss_D_real: -0.020872 Loss_D_fake -0.001416
[1587/5000][505/535][163864] Loss_D: -0.021475 Loss_G: -0.011484 Loss_D_real: -0.013285 Loss_D_fake 0.008190
[1587/5000][510/535][163865] Loss_D: -0.019832 Loss_G: 0.009444 Loss_D_real: -0.027473 Loss_D_fake -0.007641
[1587/5000][515/535][163866] Loss_D: -0.020516 Loss_G: -0.003151 Loss_D_real: -0.011878 Loss_D_fake 0.008637
[1587/5000][520/535][163867] Loss_D: -0.020478 Loss_G: 0.001732 Loss_D_real: -0.011600 Loss_D_fake 0.008878
[1587/5000][525/535][163868] Loss_D: -0.019095 Loss_G: -0.000740 Loss_D_real: -0.004858 Loss_D_fake 0.014237
[1587/5000][530/535][163869] Loss_D: -0.019601 Loss_G: 0.004103 Loss_D_real: -0.029022 Loss_D_fake -0.009421
[1587/5000][535/535][163870] Loss_D: -0.020566 Loss_G: 0.026242 Loss_D_real: -0.026029 Loss_D_fake -0.005463
[1588/5000][5/535][163871] Loss_D: -0.019012 Loss_G: 0.020858 Loss_D_real: -0.030209 Loss_D_fake -0.011196
[1588/5000][10/535][163872] Loss_D: -0.020241 Loss_G: 0.020418 Loss_D_real: -0.012156 Loss_D_fake 0.008085
[1588/5000][15/535][163873] Loss_D: -0.018879 Loss_G: 0.013571 Loss_D_real: -0.016821 Loss_D_fake 0.002059
[1588/5000][20/535][163874] Loss_D: -0.020071 Loss_G: 0.003696 Loss_D_real: -0.011069 Loss_D_fake 0.009002
[1588/5000][25/535][163875] Loss_D: -0.019058 Loss_G: 0.012602 Loss_D_real: -0.020358 Loss_D_fake -0.001301
[1588/5000][30/535][163876] Loss_D: -0.019969 Loss_G: 0.014462 Loss_D_real: -0.017439 Loss_D_fake 0.002530
[1588/5000][35/535][163877] Loss_D: -0.019141 Loss_G: 0.001073 Loss_D_real: -0.011571 Loss_D_fake 0.007571
[1588/5000][40/535][163878] Loss_D: -0.018783 Loss_G: -0.009049 Loss_D_real: -0.015259 Loss_D_fake 0.003524
[1588/5000][45/535][163879] Loss_D: -0.019424 Loss_G: 0.004545 Loss_D_real: -0.019081 Loss_D_fake 0.000343
[1588/5000][50/535][163880] Loss_D: -0.016876 Loss_G: 0.027104 Loss_D_real: -0.034891 Loss_D_fake -0.018015
[1588/5000][55/535][163881] Loss_D: -0.018883 Loss_G: 0.015649 Loss_D_real: -0.022334 Loss_D_fake -0.003451
[1588/5000][60/535][163882] Loss_D: -0.018932 Loss_G: 0.001191 Loss_D_real: -0.022777 Loss_D_fake -0.003845
[1588/5000][65/535][163883] Loss_D: -0.018003 Loss_G: -0.001871 Loss_D_real: -0.024224 Loss_D_fake -0.006221
[1588/5000][70/535][163884] Loss_D: -0.019488 Loss_G: 0.003605 Loss_D_real: -0.003855 Loss_D_fake 0.015633
[1588/5000][75/535][163885] Loss_D: -0.018563 Loss_G: 0.012689 Loss_D_real: -0.015654 Loss_D_fake 0.002909
[1588/5000][80/535][163886] Loss_D: -0.018657 Loss_G: 0.014142 Loss_D_real: -0.023097 Loss_D_fake -0.004439
[1588/5000][85/535][163887] Loss_D: -0.019777 Loss_G: 0.006559 Loss_D_real: -0.015492 Loss_D_fake 0.004285
[1588/5000][90/535][163888] Loss_D: -0.018732 Loss_G: 0.015042 Loss_D_real: -0.009357 Loss_D_fake 0.009375
[1588/5000][95/535][163889] Loss_D: -0.018125 Loss_G: 0.010833 Loss_D_real: -0.006212 Loss_D_fake 0.011913
[1588/5000][100/535][163890] Loss_D: -0.017519 Loss_G: 0.012232 Loss_D_real: -0.022239 Loss_D_fake -0.004720
[1588/5000][105/535][163891] Loss_D: -0.019451 Loss_G: -0.007271 Loss_D_real: -0.004709 Loss_D_fake 0.014742
[1588/5000][110/535][163892] Loss_D: -0.019078 Loss_G: -0.007167 Loss_D_real: -0.024249 Loss_D_fake -0.005172
[1588/5000][115/535][163893] Loss_D: -0.018614 Loss_G: 0.017358 Loss_D_real: -0.022556 Loss_D_fake -0.003941
[1588/5000][120/535][163894] Loss_D: -0.017864 Loss_G: 0.019726 Loss_D_real: -0.033973 Loss_D_fake -0.016109
[1588/5000][125/535][163895] Loss_D: -0.019270 Loss_G: 0.003891 Loss_D_real: -0.016158 Loss_D_fake 0.003112
[1588/5000][130/535][163896] Loss_D: -0.019827 Loss_G: 0.023272 Loss_D_real: -0.021961 Loss_D_fake -0.002134
[1588/5000][135/535][163897] Loss_D: -0.018444 Loss_G: 0.009416 Loss_D_real: -0.013979 Loss_D_fake 0.004465
[1588/5000][140/535][163898] Loss_D: -0.018515 Loss_G: -0.019233 Loss_D_real: 0.006161 Loss_D_fake 0.024676
[1588/5000][145/535][163899] Loss_D: -0.019889 Loss_G: 0.017056 Loss_D_real: -0.023256 Loss_D_fake -0.003367
[1588/5000][150/535][163900] Loss_D: -0.018978 Loss_G: 0.006750 Loss_D_real: -0.011088 Loss_D_fake 0.007890
[1588/5000][155/535][163901] Loss_D: -0.019170 Loss_G: -0.001447 Loss_D_real: -0.009000 Loss_D_fake 0.010170
[1588/5000][160/535][163902] Loss_D: -0.018184 Loss_G: 0.016029 Loss_D_real: -0.033368 Loss_D_fake -0.015184
[1588/5000][165/535][163903] Loss_D: -0.018805 Loss_G: 0.022737 Loss_D_real: -0.021344 Loss_D_fake -0.002539
[1588/5000][170/535][163904] Loss_D: -0.019947 Loss_G: -0.012988 Loss_D_real: -0.005938 Loss_D_fake 0.014009
[1588/5000][175/535][163905] Loss_D: -0.018885 Loss_G: 0.013739 Loss_D_real: -0.017982 Loss_D_fake 0.000903
[1588/5000][180/535][163906] Loss_D: -0.017992 Loss_G: -0.006042 Loss_D_real: -0.016931 Loss_D_fake 0.001061
[1588/5000][185/535][163907] Loss_D: -0.020337 Loss_G: 0.000291 Loss_D_real: -0.013086 Loss_D_fake 0.007251
[1588/5000][190/535][163908] Loss_D: -0.020286 Loss_G: 0.015118 Loss_D_real: -0.013868 Loss_D_fake 0.006418
[1588/5000][195/535][163909] Loss_D: -0.018484 Loss_G: 0.020325 Loss_D_real: -0.023299 Loss_D_fake -0.004814
[1588/5000][200/535][163910] Loss_D: -0.018188 Loss_G: 0.020754 Loss_D_real: -0.038091 Loss_D_fake -0.019903
[1588/5000][205/535][163911] Loss_D: -0.019997 Loss_G: 0.005693 Loss_D_real: -0.023330 Loss_D_fake -0.003333
[1588/5000][210/535][163912] Loss_D: -0.018224 Loss_G: -0.009873 Loss_D_real: 0.004918 Loss_D_fake 0.023142
[1588/5000][215/535][163913] Loss_D: -0.019329 Loss_G: 0.006820 Loss_D_real: -0.021744 Loss_D_fake -0.002415
[1588/5000][220/535][163914] Loss_D: -0.018925 Loss_G: 0.000607 Loss_D_real: -0.000264 Loss_D_fake 0.018661
[1588/5000][225/535][163915] Loss_D: -0.019907 Loss_G: 0.015065 Loss_D_real: -0.020378 Loss_D_fake -0.000471
[1588/5000][230/535][163916] Loss_D: -0.018792 Loss_G: 0.014781 Loss_D_real: -0.028550 Loss_D_fake -0.009758
[1588/5000][235/535][163917] Loss_D: -0.019380 Loss_G: 0.007221 Loss_D_real: -0.019808 Loss_D_fake -0.000429
[1588/5000][240/535][163918] Loss_D: -0.019553 Loss_G: 0.000582 Loss_D_real: -0.006694 Loss_D_fake 0.012859
[1588/5000][245/535][163919] Loss_D: -0.019260 Loss_G: 0.012324 Loss_D_real: -0.019361 Loss_D_fake -0.000101
[1588/5000][250/535][163920] Loss_D: -0.020260 Loss_G: -0.016497 Loss_D_real: -0.009637 Loss_D_fake 0.010622
[1588/5000][255/535][163921] Loss_D: -0.019759 Loss_G: 0.000006 Loss_D_real: -0.014219 Loss_D_fake 0.005540
[1588/5000][260/535][163922] Loss_D: -0.018116 Loss_G: 0.021648 Loss_D_real: -0.012690 Loss_D_fake 0.005426
[1588/5000][265/535][163923] Loss_D: -0.019610 Loss_G: -0.010758 Loss_D_real: -0.011192 Loss_D_fake 0.008418
[1588/5000][270/535][163924] Loss_D: -0.018903 Loss_G: 0.026761 Loss_D_real: -0.030304 Loss_D_fake -0.011401
[1588/5000][275/535][163925] Loss_D: -0.019519 Loss_G: 0.004035 Loss_D_real: -0.021043 Loss_D_fake -0.001524
[1588/5000][280/535][163926] Loss_D: -0.019366 Loss_G: 0.004073 Loss_D_real: -0.010433 Loss_D_fake 0.008933
[1588/5000][285/535][163927] Loss_D: -0.019217 Loss_G: 0.015450 Loss_D_real: -0.034186 Loss_D_fake -0.014968
[1588/5000][290/535][163928] Loss_D: -0.020440 Loss_G: 0.004740 Loss_D_real: -0.014235 Loss_D_fake 0.006205
[1588/5000][295/535][163929] Loss_D: -0.018041 Loss_G: 0.032131 Loss_D_real: -0.024807 Loss_D_fake -0.006766
[1588/5000][300/535][163930] Loss_D: -0.020578 Loss_G: 0.008752 Loss_D_real: -0.012995 Loss_D_fake 0.007583
[1588/5000][305/535][163931] Loss_D: -0.020227 Loss_G: 0.004476 Loss_D_real: -0.032146 Loss_D_fake -0.011919
[1588/5000][310/535][163932] Loss_D: -0.020958 Loss_G: 0.003958 Loss_D_real: 0.002728 Loss_D_fake 0.023686
[1588/5000][315/535][163933] Loss_D: -0.019128 Loss_G: -0.010394 Loss_D_real: -0.017396 Loss_D_fake 0.001731
[1588/5000][320/535][163934] Loss_D: -0.019748 Loss_G: -0.004671 Loss_D_real: -0.003091 Loss_D_fake 0.016657
[1588/5000][325/535][163935] Loss_D: -0.018835 Loss_G: 0.020003 Loss_D_real: -0.020662 Loss_D_fake -0.001827
[1588/5000][330/535][163936] Loss_D: -0.020257 Loss_G: 0.004108 Loss_D_real: 0.000228 Loss_D_fake 0.020485
[1588/5000][335/535][163937] Loss_D: -0.018709 Loss_G: -0.003851 Loss_D_real: -0.007728 Loss_D_fake 0.010980
[1588/5000][340/535][163938] Loss_D: -0.019022 Loss_G: 0.025283 Loss_D_real: -0.017264 Loss_D_fake 0.001758
[1588/5000][345/535][163939] Loss_D: -0.018112 Loss_G: 0.005756 Loss_D_real: -0.028426 Loss_D_fake -0.010313
[1588/5000][350/535][163940] Loss_D: -0.019310 Loss_G: 0.004998 Loss_D_real: -0.015397 Loss_D_fake 0.003913
[1588/5000][355/535][163941] Loss_D: -0.020620 Loss_G: 0.017134 Loss_D_real: -0.023507 Loss_D_fake -0.002887
[1588/5000][360/535][163942] Loss_D: -0.018977 Loss_G: 0.013628 Loss_D_real: -0.019588 Loss_D_fake -0.000611
[1588/5000][365/535][163943] Loss_D: -0.019014 Loss_G: 0.013654 Loss_D_real: -0.030065 Loss_D_fake -0.011052
[1588/5000][370/535][163944] Loss_D: -0.019779 Loss_G: 0.004544 Loss_D_real: -0.028268 Loss_D_fake -0.008489
[1588/5000][375/535][163945] Loss_D: -0.018082 Loss_G: -0.009896 Loss_D_real: -0.000980 Loss_D_fake 0.017101
[1588/5000][380/535][163946] Loss_D: -0.018224 Loss_G: -0.010235 Loss_D_real: 0.009467 Loss_D_fake 0.027691
[1588/5000][385/535][163947] Loss_D: -0.019139 Loss_G: 0.001680 Loss_D_real: -0.016498 Loss_D_fake 0.002641
[1588/5000][390/535][163948] Loss_D: -0.020167 Loss_G: 0.007945 Loss_D_real: -0.019426 Loss_D_fake 0.000740
[1588/5000][395/535][163949] Loss_D: -0.019697 Loss_G: -0.004947 Loss_D_real: -0.011353 Loss_D_fake 0.008344
[1588/5000][400/535][163950] Loss_D: -0.020329 Loss_G: 0.000464 Loss_D_real: -0.013744 Loss_D_fake 0.006585
[1588/5000][405/535][163951] Loss_D: -0.019741 Loss_G: 0.010948 Loss_D_real: -0.025518 Loss_D_fake -0.005777
[1588/5000][410/535][163952] Loss_D: -0.018952 Loss_G: 0.021212 Loss_D_real: -0.011941 Loss_D_fake 0.007011
[1588/5000][415/535][163953] Loss_D: -0.019347 Loss_G: 0.019926 Loss_D_real: -0.026980 Loss_D_fake -0.007633
[1588/5000][420/535][163954] Loss_D: -0.018093 Loss_G: 0.013476 Loss_D_real: -0.024117 Loss_D_fake -0.006024
[1588/5000][425/535][163955] Loss_D: -0.018278 Loss_G: 0.017323 Loss_D_real: -0.010517 Loss_D_fake 0.007761
[1588/5000][430/535][163956] Loss_D: -0.017530 Loss_G: 0.007155 Loss_D_real: -0.015093 Loss_D_fake 0.002437
[1588/5000][435/535][163957] Loss_D: -0.019470 Loss_G: 0.011277 Loss_D_real: -0.016758 Loss_D_fake 0.002712
[1588/5000][440/535][163958] Loss_D: -0.018771 Loss_G: 0.009623 Loss_D_real: -0.021556 Loss_D_fake -0.002785
[1588/5000][445/535][163959] Loss_D: -0.019413 Loss_G: 0.003952 Loss_D_real: -0.014113 Loss_D_fake 0.005301
[1588/5000][450/535][163960] Loss_D: -0.020533 Loss_G: -0.008672 Loss_D_real: -0.016359 Loss_D_fake 0.004174
[1588/5000][455/535][163961] Loss_D: -0.019540 Loss_G: -0.017933 Loss_D_real: 0.000290 Loss_D_fake 0.019829
[1588/5000][460/535][163962] Loss_D: -0.019111 Loss_G: 0.020468 Loss_D_real: -0.028725 Loss_D_fake -0.009614
[1588/5000][465/535][163963] Loss_D: -0.020580 Loss_G: -0.000379 Loss_D_real: -0.005009 Loss_D_fake 0.015570
[1588/5000][470/535][163964] Loss_D: -0.020109 Loss_G: 0.010302 Loss_D_real: -0.011864 Loss_D_fake 0.008245
[1588/5000][475/535][163965] Loss_D: -0.018928 Loss_G: 0.002870 Loss_D_real: -0.022184 Loss_D_fake -0.003256
[1588/5000][480/535][163966] Loss_D: -0.020576 Loss_G: 0.010196 Loss_D_real: -0.018951 Loss_D_fake 0.001625
[1588/5000][485/535][163967] Loss_D: -0.018281 Loss_G: -0.006230 Loss_D_real: 0.002511 Loss_D_fake 0.020792
[1588/5000][490/535][163968] Loss_D: -0.018740 Loss_G: 0.013014 Loss_D_real: -0.029944 Loss_D_fake -0.011205
[1588/5000][495/535][163969] Loss_D: -0.019872 Loss_G: -0.012755 Loss_D_real: -0.003438 Loss_D_fake 0.016434
[1588/5000][500/535][163970] Loss_D: -0.019760 Loss_G: -0.001657 Loss_D_real: -0.017242 Loss_D_fake 0.002518
[1588/5000][505/535][163971] Loss_D: -0.021176 Loss_G: 0.013799 Loss_D_real: -0.005065 Loss_D_fake 0.016110
[1588/5000][510/535][163972] Loss_D: -0.020011 Loss_G: 0.011712 Loss_D_real: -0.027925 Loss_D_fake -0.007914
[1588/5000][515/535][163973] Loss_D: -0.017180 Loss_G: -0.006350 Loss_D_real: 0.014751 Loss_D_fake 0.031931
[1588/5000][520/535][163974] Loss_D: -0.017398 Loss_G: -0.001266 Loss_D_real: -0.021456 Loss_D_fake -0.004058
[1588/5000][525/535][163975] Loss_D: -0.018642 Loss_G: 0.014795 Loss_D_real: -0.031265 Loss_D_fake -0.012623
[1588/5000][530/535][163976] Loss_D: -0.017897 Loss_G: 0.005065 Loss_D_real: -0.020709 Loss_D_fake -0.002812
[1588/5000][535/535][163977] Loss_D: -0.016004 Loss_G: 0.012848 Loss_D_real: -0.019137 Loss_D_fake -0.003134
[1589/5000][5/535][163978] Loss_D: -0.019724 Loss_G: 0.002911 Loss_D_real: -0.012763 Loss_D_fake 0.006961
[1589/5000][10/535][163979] Loss_D: -0.019445 Loss_G: 0.011315 Loss_D_real: -0.032524 Loss_D_fake -0.013079
[1589/5000][15/535][163980] Loss_D: -0.018380 Loss_G: -0.008957 Loss_D_real: -0.002089 Loss_D_fake 0.016291
[1589/5000][20/535][163981] Loss_D: -0.018796 Loss_G: -0.006275 Loss_D_real: -0.014313 Loss_D_fake 0.004483
[1589/5000][25/535][163982] Loss_D: -0.018922 Loss_G: -0.000682 Loss_D_real: -0.000748 Loss_D_fake 0.018173
[1589/5000][30/535][163983] Loss_D: -0.019659 Loss_G: 0.005069 Loss_D_real: -0.020743 Loss_D_fake -0.001084
[1589/5000][35/535][163984] Loss_D: -0.019948 Loss_G: 0.009622 Loss_D_real: -0.010532 Loss_D_fake 0.009416
[1589/5000][40/535][163985] Loss_D: -0.016900 Loss_G: 0.007011 Loss_D_real: -0.020362 Loss_D_fake -0.003462
[1589/5000][45/535][163986] Loss_D: -0.019292 Loss_G: -0.010125 Loss_D_real: -0.015385 Loss_D_fake 0.003907
[1589/5000][50/535][163987] Loss_D: -0.018868 Loss_G: 0.004965 Loss_D_real: -0.005120 Loss_D_fake 0.013748
[1589/5000][55/535][163988] Loss_D: -0.021008 Loss_G: 0.012522 Loss_D_real: -0.015320 Loss_D_fake 0.005688
[1589/5000][60/535][163989] Loss_D: -0.019176 Loss_G: 0.011072 Loss_D_real: -0.012259 Loss_D_fake 0.006917
[1589/5000][65/535][163990] Loss_D: -0.019335 Loss_G: 0.003796 Loss_D_real: -0.013863 Loss_D_fake 0.005472
[1589/5000][70/535][163991] Loss_D: -0.018321 Loss_G: 0.026792 Loss_D_real: -0.034951 Loss_D_fake -0.016629
[1589/5000][75/535][163992] Loss_D: -0.018502 Loss_G: -0.014211 Loss_D_real: -0.016493 Loss_D_fake 0.002009
[1589/5000][80/535][163993] Loss_D: -0.018480 Loss_G: -0.014981 Loss_D_real: 0.001632 Loss_D_fake 0.020112
[1589/5000][85/535][163994] Loss_D: -0.017308 Loss_G: -0.005776 Loss_D_real: -0.013615 Loss_D_fake 0.003693
[1589/5000][90/535][163995] Loss_D: -0.019497 Loss_G: 0.017080 Loss_D_real: -0.017537 Loss_D_fake 0.001960
[1589/5000][95/535][163996] Loss_D: -0.020221 Loss_G: 0.007548 Loss_D_real: -0.031147 Loss_D_fake -0.010926
[1589/5000][100/535][163997] Loss_D: -0.018985 Loss_G: 0.024916 Loss_D_real: -0.028573 Loss_D_fake -0.009587
[1589/5000][105/535][163998] Loss_D: -0.020659 Loss_G: 0.005699 Loss_D_real: -0.016415 Loss_D_fake 0.004244
[1589/5000][110/535][163999] Loss_D: -0.020737 Loss_G: 0.008978 Loss_D_real: -0.013549 Loss_D_fake 0.007187
[1589/5000][115/535][164000] Loss_D: -0.019248 Loss_G: 0.012646 Loss_D_real: -0.011800 Loss_D_fake 0.007447
[1589/5000][215/535][164001] Loss_D: -0.020425 Loss_G: 0.010586 Loss_D_real: -0.006786 Loss_D_fake 0.013639
[1589/5000][220/535][164002] Loss_D: -0.018804 Loss_G: -0.008685 Loss_D_real: -0.020548 Loss_D_fake -0.001744
[1589/5000][225/535][164003] Loss_D: -0.018858 Loss_G: 0.006393 Loss_D_real: -0.011748 Loss_D_fake 0.007110
[1589/5000][230/535][164004] Loss_D: -0.018609 Loss_G: 0.003551 Loss_D_real: -0.003410 Loss_D_fake 0.015199
[1589/5000][235/535][164005] Loss_D: -0.018707 Loss_G: -0.005023 Loss_D_real: -0.018738 Loss_D_fake -0.000030
[1589/5000][240/535][164006] Loss_D: -0.018207 Loss_G: 0.010221 Loss_D_real: -0.013446 Loss_D_fake 0.004761
[1589/5000][245/535][164007] Loss_D: -0.017848 Loss_G: 0.027060 Loss_D_real: -0.023371 Loss_D_fake -0.005523
[1589/5000][250/535][164008] Loss_D: -0.017479 Loss_G: 0.016270 Loss_D_real: -0.013838 Loss_D_fake 0.003641
[1589/5000][255/535][164009] Loss_D: -0.019535 Loss_G: 0.000225 Loss_D_real: -0.027613 Loss_D_fake -0.008078
[1589/5000][260/535][164010] Loss_D: -0.019775 Loss_G: 0.013346 Loss_D_real: -0.008032 Loss_D_fake 0.011742
[1589/5000][265/535][164011] Loss_D: -0.019141 Loss_G: 0.000413 Loss_D_real: -0.015688 Loss_D_fake 0.003454
[1589/5000][270/535][164012] Loss_D: -0.017357 Loss_G: -0.014151 Loss_D_real: 0.000169 Loss_D_fake 0.017526
[1589/5000][275/535][164013] Loss_D: -0.019068 Loss_G: 0.009565 Loss_D_real: -0.019886 Loss_D_fake -0.000818
[1589/5000][280/535][164014] Loss_D: -0.019002 Loss_G: 0.024612 Loss_D_real: -0.032743 Loss_D_fake -0.013741
[1589/5000][285/535][164015] Loss_D: -0.019335 Loss_G: 0.010711 Loss_D_real: -0.015703 Loss_D_fake 0.003633
[1589/5000][290/535][164016] Loss_D: -0.020580 Loss_G: 0.005320 Loss_D_real: -0.005247 Loss_D_fake 0.015333
[1589/5000][295/535][164017] Loss_D: -0.019238 Loss_G: 0.018579 Loss_D_real: -0.020853 Loss_D_fake -0.001615
[1589/5000][300/535][164018] Loss_D: -0.019568 Loss_G: 0.017924 Loss_D_real: -0.023429 Loss_D_fake -0.003861
[1589/5000][305/535][164019] Loss_D: -0.017801 Loss_G: 0.008953 Loss_D_real: -0.025998 Loss_D_fake -0.008197
[1589/5000][310/535][164020] Loss_D: -0.020417 Loss_G: 0.009417 Loss_D_real: -0.005823 Loss_D_fake 0.014594
[1589/5000][315/535][164021] Loss_D: -0.018317 Loss_G: 0.021524 Loss_D_real: -0.018603 Loss_D_fake -0.000286
[1589/5000][320/535][164022] Loss_D: -0.018026 Loss_G: -0.018574 Loss_D_real: 0.001659 Loss_D_fake 0.019685
[1589/5000][325/535][164023] Loss_D: -0.019179 Loss_G: 0.020983 Loss_D_real: -0.019512 Loss_D_fake -0.000333
[1589/5000][330/535][164024] Loss_D: -0.018454 Loss_G: 0.000121 Loss_D_real: -0.013085 Loss_D_fake 0.005370
[1589/5000][335/535][164025] Loss_D: -0.018454 Loss_G: -0.011863 Loss_D_real: -0.008096 Loss_D_fake 0.010358
[1589/5000][340/535][164026] Loss_D: -0.019063 Loss_G: -0.006209 Loss_D_real: 0.002261 Loss_D_fake 0.021324
[1589/5000][345/535][164027] Loss_D: -0.017820 Loss_G: -0.001411 Loss_D_real: -0.013985 Loss_D_fake 0.003834
[1589/5000][350/535][164028] Loss_D: -0.019736 Loss_G: 0.011045 Loss_D_real: -0.010053 Loss_D_fake 0.009683
[1589/5000][355/535][164029] Loss_D: -0.018747 Loss_G: 0.031023 Loss_D_real: -0.021175 Loss_D_fake -0.002427
[1589/5000][360/535][164030] Loss_D: -0.019452 Loss_G: 0.014829 Loss_D_real: -0.031978 Loss_D_fake -0.012526
[1589/5000][365/535][164031] Loss_D: -0.019573 Loss_G: 0.018911 Loss_D_real: -0.028560 Loss_D_fake -0.008988
[1589/5000][370/535][164032] Loss_D: -0.020363 Loss_G: -0.001509 Loss_D_real: -0.017923 Loss_D_fake 0.002440
[1589/5000][375/535][164033] Loss_D: -0.020452 Loss_G: 0.011869 Loss_D_real: -0.014472 Loss_D_fake 0.005980
[1589/5000][380/535][164034] Loss_D: -0.019049 Loss_G: -0.001284 Loss_D_real: -0.009110 Loss_D_fake 0.009939
[1589/5000][385/535][164035] Loss_D: -0.019538 Loss_G: 0.006075 Loss_D_real: -0.010609 Loss_D_fake 0.008929
[1589/5000][390/535][164036] Loss_D: -0.020090 Loss_G: -0.003805 Loss_D_real: -0.008071 Loss_D_fake 0.012020
[1589/5000][395/535][164037] Loss_D: -0.017871 Loss_G: 0.015620 Loss_D_real: -0.024175 Loss_D_fake -0.006304
[1589/5000][400/535][164038] Loss_D: -0.018195 Loss_G: 0.016238 Loss_D_real: -0.014929 Loss_D_fake 0.003265
[1589/5000][405/535][164039] Loss_D: -0.019428 Loss_G: 0.009963 Loss_D_real: -0.015798 Loss_D_fake 0.003630
[1589/5000][410/535][164040] Loss_D: -0.019042 Loss_G: 0.007868 Loss_D_real: -0.024390 Loss_D_fake -0.005348
[1589/5000][415/535][164041] Loss_D: -0.019649 Loss_G: 0.008188 Loss_D_real: -0.020450 Loss_D_fake -0.000802
[1589/5000][420/535][164042] Loss_D: -0.019017 Loss_G: 0.029695 Loss_D_real: -0.028996 Loss_D_fake -0.009979
[1589/5000][425/535][164043] Loss_D: -0.018865 Loss_G: -0.006596 Loss_D_real: -0.007505 Loss_D_fake 0.011360
[1589/5000][430/535][164044] Loss_D: -0.017516 Loss_G: 0.010302 Loss_D_real: -0.017791 Loss_D_fake -0.000274
[1589/5000][435/535][164045] Loss_D: -0.019008 Loss_G: 0.016581 Loss_D_real: -0.025685 Loss_D_fake -0.006677
[1589/5000][440/535][164046] Loss_D: -0.019175 Loss_G: 0.002502 Loss_D_real: -0.020575 Loss_D_fake -0.001400
[1589/5000][445/535][164047] Loss_D: -0.017696 Loss_G: 0.021932 Loss_D_real: -0.035191 Loss_D_fake -0.017495
[1589/5000][450/535][164048] Loss_D: -0.019383 Loss_G: -0.001366 Loss_D_real: -0.012159 Loss_D_fake 0.007224
[1589/5000][455/535][164049] Loss_D: -0.018986 Loss_G: 0.012152 Loss_D_real: -0.023435 Loss_D_fake -0.004449
[1589/5000][460/535][164050] Loss_D: -0.019397 Loss_G: 0.003177 Loss_D_real: -0.020245 Loss_D_fake -0.000847
[1589/5000][465/535][164051] Loss_D: -0.019985 Loss_G: 0.026707 Loss_D_real: -0.021276 Loss_D_fake -0.001291
[1589/5000][470/535][164052] Loss_D: -0.019938 Loss_G: 0.006888 Loss_D_real: -0.018694 Loss_D_fake 0.001244
[1589/5000][475/535][164053] Loss_D: -0.018984 Loss_G: 0.015982 Loss_D_real: -0.013185 Loss_D_fake 0.005799
[1589/5000][480/535][164054] Loss_D: -0.018001 Loss_G: 0.011605 Loss_D_real: -0.025658 Loss_D_fake -0.007658
[1589/5000][485/535][164055] Loss_D: -0.018991 Loss_G: 0.013268 Loss_D_real: -0.025796 Loss_D_fake -0.006805
[1589/5000][490/535][164056] Loss_D: -0.017749 Loss_G: 0.011966 Loss_D_real: -0.021066 Loss_D_fake -0.003317
[1589/5000][495/535][164057] Loss_D: -0.019145 Loss_G: 0.009101 Loss_D_real: -0.012272 Loss_D_fake 0.006873
[1589/5000][500/535][164058] Loss_D: -0.019147 Loss_G: 0.018552 Loss_D_real: -0.008954 Loss_D_fake 0.010193
[1589/5000][505/535][164059] Loss_D: -0.018080 Loss_G: 0.009143 Loss_D_real: -0.022662 Loss_D_fake -0.004582
[1589/5000][510/535][164060] Loss_D: -0.019838 Loss_G: 0.020396 Loss_D_real: -0.016481 Loss_D_fake 0.003358
[1589/5000][515/535][164061] Loss_D: -0.019540 Loss_G: 0.021726 Loss_D_real: -0.024446 Loss_D_fake -0.004906
[1589/5000][520/535][164062] Loss_D: -0.019838 Loss_G: 0.004345 Loss_D_real: -0.007142 Loss_D_fake 0.012696
[1589/5000][525/535][164063] Loss_D: -0.020109 Loss_G: -0.007883 Loss_D_real: -0.015322 Loss_D_fake 0.004787
[1589/5000][530/535][164064] Loss_D: -0.019610 Loss_G: 0.010019 Loss_D_real: -0.012354 Loss_D_fake 0.007257
[1589/5000][535/535][164065] Loss_D: -0.020976 Loss_G: 0.009184 Loss_D_real: -0.008734 Loss_D_fake 0.012243
[1590/5000][5/535][164066] Loss_D: -0.019677 Loss_G: -0.007255 Loss_D_real: -0.010208 Loss_D_fake 0.009469
[1590/5000][10/535][164067] Loss_D: -0.018230 Loss_G: 0.015516 Loss_D_real: -0.023311 Loss_D_fake -0.005081
[1590/5000][15/535][164068] Loss_D: -0.020120 Loss_G: -0.005718 Loss_D_real: -0.011440 Loss_D_fake 0.008680
[1590/5000][20/535][164069] Loss_D: -0.019209 Loss_G: 0.014276 Loss_D_real: -0.032842 Loss_D_fake -0.013634
[1590/5000][25/535][164070] Loss_D: -0.017432 Loss_G: 0.009882 Loss_D_real: -0.008870 Loss_D_fake 0.008562
[1590/5000][30/535][164071] Loss_D: -0.019148 Loss_G: 0.010512 Loss_D_real: -0.005879 Loss_D_fake 0.013269
[1590/5000][35/535][164072] Loss_D: -0.018814 Loss_G: 0.002043 Loss_D_real: -0.004488 Loss_D_fake 0.014326
[1590/5000][40/535][164073] Loss_D: -0.017686 Loss_G: 0.002830 Loss_D_real: -0.027888 Loss_D_fake -0.010203
[1590/5000][45/535][164074] Loss_D: -0.018280 Loss_G: 0.012813 Loss_D_real: -0.024294 Loss_D_fake -0.006014
[1590/5000][50/535][164075] Loss_D: -0.019263 Loss_G: 0.018513 Loss_D_real: -0.024192 Loss_D_fake -0.004929
[1590/5000][55/535][164076] Loss_D: -0.018420 Loss_G: 0.018135 Loss_D_real: -0.015021 Loss_D_fake 0.003399
[1590/5000][60/535][164077] Loss_D: -0.019372 Loss_G: 0.014304 Loss_D_real: -0.035979 Loss_D_fake -0.016607
[1590/5000][65/535][164078] Loss_D: -0.018816 Loss_G: 0.016909 Loss_D_real: -0.027429 Loss_D_fake -0.008614
[1590/5000][70/535][164079] Loss_D: -0.019047 Loss_G: -0.017566 Loss_D_real: 0.007703 Loss_D_fake 0.026751
[1590/5000][75/535][164080] Loss_D: -0.017660 Loss_G: 0.020084 Loss_D_real: -0.028277 Loss_D_fake -0.010617
[1590/5000][80/535][164081] Loss_D: -0.019477 Loss_G: 0.001160 Loss_D_real: -0.018790 Loss_D_fake 0.000688
[1590/5000][85/535][164082] Loss_D: -0.019942 Loss_G: 0.004698 Loss_D_real: -0.012712 Loss_D_fake 0.007231
[1590/5000][90/535][164083] Loss_D: -0.017759 Loss_G: -0.002932 Loss_D_real: -0.004687 Loss_D_fake 0.013072
[1590/5000][95/535][164084] Loss_D: -0.019076 Loss_G: 0.020702 Loss_D_real: -0.027469 Loss_D_fake -0.008392
[1590/5000][100/535][164085] Loss_D: -0.019183 Loss_G: 0.021361 Loss_D_real: -0.026712 Loss_D_fake -0.007530
[1590/5000][105/535][164086] Loss_D: -0.019050 Loss_G: 0.004801 Loss_D_real: -0.016815 Loss_D_fake 0.002235
[1590/5000][110/535][164087] Loss_D: -0.018577 Loss_G: 0.015203 Loss_D_real: -0.015102 Loss_D_fake 0.003475
[1590/5000][115/535][164088] Loss_D: -0.017814 Loss_G: 0.026231 Loss_D_real: -0.030930 Loss_D_fake -0.013116
[1590/5000][120/535][164089] Loss_D: -0.017061 Loss_G: 0.023685 Loss_D_real: -0.023906 Loss_D_fake -0.006844
[1590/5000][125/535][164090] Loss_D: -0.020894 Loss_G: 0.001006 Loss_D_real: -0.021207 Loss_D_fake -0.000314
[1590/5000][130/535][164091] Loss_D: -0.019492 Loss_G: 0.010201 Loss_D_real: -0.022424 Loss_D_fake -0.002932
[1590/5000][135/535][164092] Loss_D: -0.020249 Loss_G: -0.008587 Loss_D_real: -0.010566 Loss_D_fake 0.009683
[1590/5000][140/535][164093] Loss_D: -0.019244 Loss_G: -0.005511 Loss_D_real: -0.019688 Loss_D_fake -0.000444
[1590/5000][145/535][164094] Loss_D: -0.020414 Loss_G: 0.003924 Loss_D_real: -0.006674 Loss_D_fake 0.013740
[1590/5000][150/535][164095] Loss_D: -0.018783 Loss_G: -0.004862 Loss_D_real: 0.003204 Loss_D_fake 0.021987
[1590/5000][155/535][164096] Loss_D: -0.019675 Loss_G: 0.015106 Loss_D_real: -0.013492 Loss_D_fake 0.006183
[1590/5000][160/535][164097] Loss_D: -0.020492 Loss_G: -0.000687 Loss_D_real: -0.014296 Loss_D_fake 0.006196
[1590/5000][165/535][164098] Loss_D: -0.020183 Loss_G: 0.008851 Loss_D_real: -0.010146 Loss_D_fake 0.010037
[1590/5000][170/535][164099] Loss_D: -0.018472 Loss_G: 0.017634 Loss_D_real: -0.011453 Loss_D_fake 0.007019
[1590/5000][175/535][164100] Loss_D: -0.020621 Loss_G: 0.002122 Loss_D_real: -0.010952 Loss_D_fake 0.009669
[1590/5000][180/535][164101] Loss_D: -0.019320 Loss_G: -0.011081 Loss_D_real: -0.012443 Loss_D_fake 0.006877
[1590/5000][185/535][164102] Loss_D: -0.018999 Loss_G: 0.020074 Loss_D_real: -0.021523 Loss_D_fake -0.002523
[1590/5000][190/535][164103] Loss_D: -0.019063 Loss_G: -0.003377 Loss_D_real: -0.005587 Loss_D_fake 0.013476
[1590/5000][195/535][164104] Loss_D: -0.019848 Loss_G: 0.015185 Loss_D_real: -0.021268 Loss_D_fake -0.001420
[1590/5000][200/535][164105] Loss_D: -0.019622 Loss_G: -0.001941 Loss_D_real: -0.012013 Loss_D_fake 0.007609
[1590/5000][205/535][164106] Loss_D: -0.018068 Loss_G: 0.029946 Loss_D_real: -0.036952 Loss_D_fake -0.018884
[1590/5000][210/535][164107] Loss_D: -0.018465 Loss_G: 0.003102 Loss_D_real: -0.020137 Loss_D_fake -0.001672
[1590/5000][215/535][164108] Loss_D: -0.019872 Loss_G: 0.014874 Loss_D_real: -0.024999 Loss_D_fake -0.005127
[1590/5000][220/535][164109] Loss_D: -0.018664 Loss_G: 0.017398 Loss_D_real: -0.029706 Loss_D_fake -0.011042
[1590/5000][225/535][164110] Loss_D: -0.017883 Loss_G: 0.016810 Loss_D_real: -0.027549 Loss_D_fake -0.009666
[1590/5000][230/535][164111] Loss_D: -0.020110 Loss_G: 0.009216 Loss_D_real: -0.021836 Loss_D_fake -0.001725
[1590/5000][235/535][164112] Loss_D: -0.019977 Loss_G: 0.012420 Loss_D_real: -0.018834 Loss_D_fake 0.001142
[1590/5000][240/535][164113] Loss_D: -0.018508 Loss_G: 0.015258 Loss_D_real: -0.016606 Loss_D_fake 0.001902
[1590/5000][245/535][164114] Loss_D: -0.019636 Loss_G: -0.013100 Loss_D_real: 0.001672 Loss_D_fake 0.021308
[1590/5000][250/535][164115] Loss_D: -0.019945 Loss_G: 0.001871 Loss_D_real: -0.024406 Loss_D_fake -0.004462
[1590/5000][255/535][164116] Loss_D: -0.019181 Loss_G: 0.011958 Loss_D_real: -0.035448 Loss_D_fake -0.016267
[1590/5000][260/535][164117] Loss_D: -0.020011 Loss_G: 0.013032 Loss_D_real: -0.016622 Loss_D_fake 0.003389
[1590/5000][265/535][164118] Loss_D: -0.019877 Loss_G: 0.012563 Loss_D_real: -0.022378 Loss_D_fake -0.002501
[1590/5000][270/535][164119] Loss_D: -0.021008 Loss_G: 0.015351 Loss_D_real: -0.020748 Loss_D_fake 0.000260
[1590/5000][275/535][164120] Loss_D: -0.019874 Loss_G: 0.006581 Loss_D_real: -0.025264 Loss_D_fake -0.005390
[1590/5000][280/535][164121] Loss_D: -0.019364 Loss_G: -0.000615 Loss_D_real: -0.020339 Loss_D_fake -0.000974
[1590/5000][285/535][164122] Loss_D: -0.018850 Loss_G: 0.020953 Loss_D_real: -0.024690 Loss_D_fake -0.005840
[1590/5000][290/535][164123] Loss_D: -0.018489 Loss_G: -0.009437 Loss_D_real: -0.003339 Loss_D_fake 0.015150
[1590/5000][295/535][164124] Loss_D: -0.018703 Loss_G: -0.000439 Loss_D_real: -0.000932 Loss_D_fake 0.017771
[1590/5000][300/535][164125] Loss_D: -0.019841 Loss_G: 0.023339 Loss_D_real: -0.020172 Loss_D_fake -0.000332
[1590/5000][305/535][164126] Loss_D: -0.019204 Loss_G: -0.008573 Loss_D_real: 0.000849 Loss_D_fake 0.020053
[1590/5000][310/535][164127] Loss_D: -0.016381 Loss_G: -0.016133 Loss_D_real: 0.012802 Loss_D_fake 0.029183
[1590/5000][315/535][164128] Loss_D: -0.018264 Loss_G: 0.006629 Loss_D_real: -0.023557 Loss_D_fake -0.005293
[1590/5000][320/535][164129] Loss_D: -0.020183 Loss_G: 0.023771 Loss_D_real: -0.018119 Loss_D_fake 0.002063
[1590/5000][325/535][164130] Loss_D: -0.019229 Loss_G: -0.002208 Loss_D_real: -0.011933 Loss_D_fake 0.007296
[1590/5000][330/535][164131] Loss_D: -0.017564 Loss_G: 0.029177 Loss_D_real: -0.031899 Loss_D_fake -0.014334
[1590/5000][335/535][164132] Loss_D: -0.019369 Loss_G: -0.000756 Loss_D_real: -0.014264 Loss_D_fake 0.005105
[1590/5000][340/535][164133] Loss_D: -0.018898 Loss_G: 0.000796 Loss_D_real: -0.006219 Loss_D_fake 0.012679
[1590/5000][345/535][164134] Loss_D: -0.018650 Loss_G: 0.007693 Loss_D_real: -0.030902 Loss_D_fake -0.012252
[1590/5000][350/535][164135] Loss_D: -0.019161 Loss_G: 0.006910 Loss_D_real: -0.023946 Loss_D_fake -0.004786
[1590/5000][355/535][164136] Loss_D: -0.018656 Loss_G: 0.016424 Loss_D_real: -0.026532 Loss_D_fake -0.007876
[1590/5000][360/535][164137] Loss_D: -0.019030 Loss_G: 0.016642 Loss_D_real: -0.026271 Loss_D_fake -0.007241
[1590/5000][365/535][164138] Loss_D: -0.018891 Loss_G: -0.002055 Loss_D_real: -0.011874 Loss_D_fake 0.007018
[1590/5000][370/535][164139] Loss_D: -0.017530 Loss_G: 0.000224 Loss_D_real: -0.012159 Loss_D_fake 0.005371
[1590/5000][375/535][164140] Loss_D: -0.020068 Loss_G: 0.020210 Loss_D_real: -0.016682 Loss_D_fake 0.003386
[1590/5000][380/535][164141] Loss_D: -0.019980 Loss_G: 0.000828 Loss_D_real: 0.007138 Loss_D_fake 0.027118
[1590/5000][385/535][164142] Loss_D: -0.019409 Loss_G: 0.003622 Loss_D_real: -0.021404 Loss_D_fake -0.001995
[1590/5000][390/535][164143] Loss_D: -0.020123 Loss_G: 0.005147 Loss_D_real: -0.003739 Loss_D_fake 0.016384
[1590/5000][395/535][164144] Loss_D: -0.020206 Loss_G: 0.009912 Loss_D_real: -0.018678 Loss_D_fake 0.001529
[1590/5000][400/535][164145] Loss_D: -0.020573 Loss_G: -0.000636 Loss_D_real: -0.020358 Loss_D_fake 0.000215
[1590/5000][405/535][164146] Loss_D: -0.019287 Loss_G: -0.006315 Loss_D_real: 0.008988 Loss_D_fake 0.028275
[1590/5000][410/535][164147] Loss_D: -0.019544 Loss_G: -0.005159 Loss_D_real: -0.011647 Loss_D_fake 0.007897
[1590/5000][415/535][164148] Loss_D: -0.019943 Loss_G: 0.003976 Loss_D_real: -0.009981 Loss_D_fake 0.009962
[1590/5000][420/535][164149] Loss_D: -0.019543 Loss_G: 0.008638 Loss_D_real: -0.017410 Loss_D_fake 0.002133
[1590/5000][425/535][164150] Loss_D: -0.020884 Loss_G: 0.007946 Loss_D_real: -0.016305 Loss_D_fake 0.004579
[1590/5000][430/535][164151] Loss_D: -0.018887 Loss_G: 0.005865 Loss_D_real: -0.011889 Loss_D_fake 0.006998
[1590/5000][435/535][164152] Loss_D: -0.020363 Loss_G: 0.015426 Loss_D_real: -0.020414 Loss_D_fake -0.000051
[1590/5000][440/535][164153] Loss_D: -0.018234 Loss_G: 0.013326 Loss_D_real: -0.002847 Loss_D_fake 0.015387
[1590/5000][445/535][164154] Loss_D: -0.020308 Loss_G: -0.003979 Loss_D_real: -0.012664 Loss_D_fake 0.007645
[1590/5000][450/535][164155] Loss_D: -0.018822 Loss_G: 0.000652 Loss_D_real: -0.011601 Loss_D_fake 0.007221
[1590/5000][455/535][164156] Loss_D: -0.017854 Loss_G: 0.021050 Loss_D_real: -0.015172 Loss_D_fake 0.002682
[1590/5000][460/535][164157] Loss_D: -0.019599 Loss_G: -0.009849 Loss_D_real: -0.004705 Loss_D_fake 0.014894
[1590/5000][465/535][164158] Loss_D: -0.017974 Loss_G: 0.013067 Loss_D_real: -0.017847 Loss_D_fake 0.000127
[1590/5000][470/535][164159] Loss_D: -0.019436 Loss_G: -0.016066 Loss_D_real: -0.001901 Loss_D_fake 0.017535
[1590/5000][475/535][164160] Loss_D: -0.019153 Loss_G: 0.011185 Loss_D_real: -0.018011 Loss_D_fake 0.001142
[1590/5000][480/535][164161] Loss_D: -0.019332 Loss_G: 0.004785 Loss_D_real: -0.009971 Loss_D_fake 0.009361
[1590/5000][485/535][164162] Loss_D: -0.018990 Loss_G: 0.020212 Loss_D_real: -0.023347 Loss_D_fake -0.004356
[1590/5000][490/535][164163] Loss_D: -0.019595 Loss_G: -0.002182 Loss_D_real: -0.010419 Loss_D_fake 0.009176
[1590/5000][495/535][164164] Loss_D: -0.018835 Loss_G: 0.012535 Loss_D_real: -0.024058 Loss_D_fake -0.005223
[1590/5000][500/535][164165] Loss_D: -0.019825 Loss_G: 0.019477 Loss_D_real: -0.019518 Loss_D_fake 0.000307
[1590/5000][505/535][164166] Loss_D: -0.020091 Loss_G: 0.020007 Loss_D_real: -0.017756 Loss_D_fake 0.002335
[1590/5000][510/535][164167] Loss_D: -0.020141 Loss_G: 0.006396 Loss_D_real: -0.020312 Loss_D_fake -0.000171
[1590/5000][515/535][164168] Loss_D: -0.020204 Loss_G: -0.010127 Loss_D_real: -0.006233 Loss_D_fake 0.013971
[1590/5000][520/535][164169] Loss_D: -0.018547 Loss_G: 0.016363 Loss_D_real: -0.026673 Loss_D_fake -0.008126
[1590/5000][525/535][164170] Loss_D: -0.017879 Loss_G: -0.016913 Loss_D_real: 0.009223 Loss_D_fake 0.027102
[1590/5000][530/535][164171] Loss_D: -0.019631 Loss_G: -0.001425 Loss_D_real: 0.003433 Loss_D_fake 0.023063
[1590/5000][535/535][164172] Loss_D: -0.020341 Loss_G: 0.028846 Loss_D_real: -0.015356 Loss_D_fake 0.004986
[1591/5000][5/535][164173] Loss_D: -0.018546 Loss_G: -0.004275 Loss_D_real: -0.014688 Loss_D_fake 0.003858
[1591/5000][10/535][164174] Loss_D: -0.018688 Loss_G: 0.010364 Loss_D_real: -0.026468 Loss_D_fake -0.007780
[1591/5000][15/535][164175] Loss_D: -0.018916 Loss_G: 0.016500 Loss_D_real: -0.015104 Loss_D_fake 0.003811
[1591/5000][20/535][164176] Loss_D: -0.019164 Loss_G: -0.007768 Loss_D_real: -0.007104 Loss_D_fake 0.012060
[1591/5000][25/535][164177] Loss_D: -0.018320 Loss_G: -0.009715 Loss_D_real: -0.010005 Loss_D_fake 0.008315
[1591/5000][30/535][164178] Loss_D: -0.020958 Loss_G: -0.009699 Loss_D_real: 0.004038 Loss_D_fake 0.024996
[1591/5000][35/535][164179] Loss_D: -0.018334 Loss_G: 0.015163 Loss_D_real: -0.025235 Loss_D_fake -0.006901
[1591/5000][40/535][164180] Loss_D: -0.018373 Loss_G: 0.010592 Loss_D_real: -0.022676 Loss_D_fake -0.004303
[1591/5000][45/535][164181] Loss_D: -0.018944 Loss_G: 0.018939 Loss_D_real: -0.024121 Loss_D_fake -0.005177
[1591/5000][50/535][164182] Loss_D: -0.018618 Loss_G: 0.004343 Loss_D_real: -0.021043 Loss_D_fake -0.002425
[1591/5000][55/535][164183] Loss_D: -0.018726 Loss_G: -0.006195 Loss_D_real: -0.019818 Loss_D_fake -0.001092
[1591/5000][60/535][164184] Loss_D: -0.019958 Loss_G: -0.004174 Loss_D_real: -0.016647 Loss_D_fake 0.003311
[1591/5000][65/535][164185] Loss_D: -0.019129 Loss_G: 0.014230 Loss_D_real: -0.025030 Loss_D_fake -0.005901
[1591/5000][70/535][164186] Loss_D: -0.019495 Loss_G: 0.019773 Loss_D_real: -0.017442 Loss_D_fake 0.002053
[1591/5000][75/535][164187] Loss_D: -0.018417 Loss_G: 0.016271 Loss_D_real: -0.032077 Loss_D_fake -0.013660
[1591/5000][80/535][164188] Loss_D: -0.019262 Loss_G: -0.006118 Loss_D_real: -0.011311 Loss_D_fake 0.007950
[1591/5000][85/535][164189] Loss_D: -0.018507 Loss_G: 0.014939 Loss_D_real: -0.009990 Loss_D_fake 0.008517
[1591/5000][90/535][164190] Loss_D: -0.018122 Loss_G: -0.010624 Loss_D_real: -0.012391 Loss_D_fake 0.005731
[1591/5000][95/535][164191] Loss_D: -0.020084 Loss_G: 0.015419 Loss_D_real: -0.024916 Loss_D_fake -0.004832
[1591/5000][100/535][164192] Loss_D: -0.018808 Loss_G: 0.016443 Loss_D_real: -0.026106 Loss_D_fake -0.007298
[1591/5000][105/535][164193] Loss_D: -0.018744 Loss_G: 0.007206 Loss_D_real: -0.020819 Loss_D_fake -0.002075
[1591/5000][110/535][164194] Loss_D: -0.018082 Loss_G: -0.010774 Loss_D_real: -0.006455 Loss_D_fake 0.011627
[1591/5000][115/535][164195] Loss_D: -0.019536 Loss_G: 0.011998 Loss_D_real: -0.021510 Loss_D_fake -0.001974
[1591/5000][120/535][164196] Loss_D: -0.018412 Loss_G: 0.011019 Loss_D_real: -0.011552 Loss_D_fake 0.006860
[1591/5000][125/535][164197] Loss_D: -0.019049 Loss_G: 0.000761 Loss_D_real: -0.012434 Loss_D_fake 0.006615
[1591/5000][130/535][164198] Loss_D: -0.019933 Loss_G: -0.017227 Loss_D_real: -0.002244 Loss_D_fake 0.017689
[1591/5000][135/535][164199] Loss_D: -0.020134 Loss_G: 0.004145 Loss_D_real: -0.018744 Loss_D_fake 0.001390
[1591/5000][140/535][164200] Loss_D: -0.019683 Loss_G: 0.000120 Loss_D_real: -0.020339 Loss_D_fake -0.000656
[1591/5000][145/535][164201] Loss_D: -0.019944 Loss_G: -0.001716 Loss_D_real: -0.012024 Loss_D_fake 0.007919
[1591/5000][150/535][164202] Loss_D: -0.019172 Loss_G: 0.009200 Loss_D_real: -0.022786 Loss_D_fake -0.003614
[1591/5000][155/535][164203] Loss_D: -0.018902 Loss_G: -0.009212 Loss_D_real: -0.002776 Loss_D_fake 0.016126
[1591/5000][160/535][164204] Loss_D: -0.019174 Loss_G: 0.005744 Loss_D_real: -0.021794 Loss_D_fake -0.002620
[1591/5000][165/535][164205] Loss_D: -0.019018 Loss_G: 0.009289 Loss_D_real: -0.003251 Loss_D_fake 0.015768
[1591/5000][170/535][164206] Loss_D: -0.017816 Loss_G: 0.010177 Loss_D_real: -0.021504 Loss_D_fake -0.003688
[1591/5000][175/535][164207] Loss_D: -0.020149 Loss_G: 0.012924 Loss_D_real: -0.014266 Loss_D_fake 0.005883
[1591/5000][180/535][164208] Loss_D: -0.019256 Loss_G: 0.006939 Loss_D_real: -0.010513 Loss_D_fake 0.008743
[1591/5000][185/535][164209] Loss_D: -0.018887 Loss_G: 0.017667 Loss_D_real: -0.017144 Loss_D_fake 0.001743
[1591/5000][190/535][164210] Loss_D: -0.018849 Loss_G: 0.000671 Loss_D_real: -0.030126 Loss_D_fake -0.011276
[1591/5000][195/535][164211] Loss_D: -0.018486 Loss_G: -0.009184 Loss_D_real: -0.018611 Loss_D_fake -0.000125
[1591/5000][200/535][164212] Loss_D: -0.018432 Loss_G: 0.020018 Loss_D_real: -0.029431 Loss_D_fake -0.010999
[1591/5000][205/535][164213] Loss_D: -0.018334 Loss_G: 0.008620 Loss_D_real: -0.018008 Loss_D_fake 0.000327
[1591/5000][210/535][164214] Loss_D: -0.018840 Loss_G: -0.028687 Loss_D_real: 0.004520 Loss_D_fake 0.023360
[1591/5000][215/535][164215] Loss_D: -0.018278 Loss_G: 0.030064 Loss_D_real: -0.022606 Loss_D_fake -0.004328
[1591/5000][220/535][164216] Loss_D: -0.018501 Loss_G: -0.007397 Loss_D_real: 0.004546 Loss_D_fake 0.023047
[1591/5000][225/535][164217] Loss_D: -0.019824 Loss_G: -0.002294 Loss_D_real: -0.010437 Loss_D_fake 0.009387
[1591/5000][230/535][164218] Loss_D: -0.020620 Loss_G: 0.019357 Loss_D_real: -0.024019 Loss_D_fake -0.003398
[1591/5000][235/535][164219] Loss_D: -0.020344 Loss_G: -0.001321 Loss_D_real: 0.003783 Loss_D_fake 0.024127
[1591/5000][240/535][164220] Loss_D: -0.019317 Loss_G: 0.018718 Loss_D_real: -0.017332 Loss_D_fake 0.001986
[1591/5000][245/535][164221] Loss_D: -0.021424 Loss_G: -0.000178 Loss_D_real: -0.003310 Loss_D_fake 0.018114
[1591/5000][250/535][164222] Loss_D: -0.019975 Loss_G: -0.009274 Loss_D_real: -0.001504 Loss_D_fake 0.018471
[1591/5000][255/535][164223] Loss_D: -0.020193 Loss_G: 0.026009 Loss_D_real: -0.014039 Loss_D_fake 0.006154
[1591/5000][260/535][164224] Loss_D: -0.020907 Loss_G: -0.003031 Loss_D_real: -0.006752 Loss_D_fake 0.014155
[1591/5000][265/535][164225] Loss_D: -0.019032 Loss_G: 0.012134 Loss_D_real: -0.026297 Loss_D_fake -0.007265
[1591/5000][270/535][164226] Loss_D: -0.020052 Loss_G: 0.011236 Loss_D_real: -0.019385 Loss_D_fake 0.000667
[1591/5000][275/535][164227] Loss_D: -0.018804 Loss_G: 0.014291 Loss_D_real: -0.023531 Loss_D_fake -0.004727
[1591/5000][280/535][164228] Loss_D: -0.020835 Loss_G: 0.008317 Loss_D_real: -0.026639 Loss_D_fake -0.005804
[1591/5000][285/535][164229] Loss_D: -0.018902 Loss_G: -0.011777 Loss_D_real: -0.002494 Loss_D_fake 0.016408
[1591/5000][290/535][164230] Loss_D: -0.018317 Loss_G: 0.018690 Loss_D_real: -0.032508 Loss_D_fake -0.014191
[1591/5000][295/535][164231] Loss_D: -0.019183 Loss_G: -0.006145 Loss_D_real: -0.004143 Loss_D_fake 0.015040
[1591/5000][300/535][164232] Loss_D: -0.018715 Loss_G: 0.022392 Loss_D_real: -0.027170 Loss_D_fake -0.008455
[1591/5000][305/535][164233] Loss_D: -0.020336 Loss_G: 0.007635 Loss_D_real: -0.013636 Loss_D_fake 0.006700
[1591/5000][310/535][164234] Loss_D: -0.019919 Loss_G: 0.013656 Loss_D_real: -0.016306 Loss_D_fake 0.003613
[1591/5000][315/535][164235] Loss_D: -0.020347 Loss_G: 0.023644 Loss_D_real: -0.017179 Loss_D_fake 0.003168
[1591/5000][320/535][164236] Loss_D: -0.019874 Loss_G: -0.002494 Loss_D_real: -0.016835 Loss_D_fake 0.003039
[1591/5000][325/535][164237] Loss_D: -0.019668 Loss_G: 0.002124 Loss_D_real: -0.003474 Loss_D_fake 0.016194
[1591/5000][330/535][164238] Loss_D: -0.018935 Loss_G: 0.007167 Loss_D_real: -0.023206 Loss_D_fake -0.004271
[1591/5000][335/535][164239] Loss_D: -0.019318 Loss_G: 0.002362 Loss_D_real: -0.007079 Loss_D_fake 0.012239
[1591/5000][340/535][164240] Loss_D: -0.018941 Loss_G: -0.008680 Loss_D_real: -0.005545 Loss_D_fake 0.013396
[1591/5000][345/535][164241] Loss_D: -0.018383 Loss_G: 0.008026 Loss_D_real: -0.011945 Loss_D_fake 0.006438
[1591/5000][350/535][164242] Loss_D: -0.018729 Loss_G: -0.005657 Loss_D_real: -0.005617 Loss_D_fake 0.013111
[1591/5000][355/535][164243] Loss_D: -0.016843 Loss_G: 0.016983 Loss_D_real: -0.038389 Loss_D_fake -0.021546
[1591/5000][360/535][164244] Loss_D: -0.019641 Loss_G: -0.009958 Loss_D_real: -0.004361 Loss_D_fake 0.015280
[1591/5000][365/535][164245] Loss_D: -0.020222 Loss_G: 0.012054 Loss_D_real: -0.015309 Loss_D_fake 0.004913
[1591/5000][370/535][164246] Loss_D: -0.021313 Loss_G: 0.021414 Loss_D_real: -0.019119 Loss_D_fake 0.002194
[1591/5000][375/535][164247] Loss_D: -0.019442 Loss_G: 0.034198 Loss_D_real: -0.025379 Loss_D_fake -0.005937
[1591/5000][380/535][164248] Loss_D: -0.018520 Loss_G: 0.000381 Loss_D_real: -0.016688 Loss_D_fake 0.001832
[1591/5000][385/535][164249] Loss_D: -0.018919 Loss_G: -0.009374 Loss_D_real: -0.002815 Loss_D_fake 0.016104
[1591/5000][390/535][164250] Loss_D: -0.019291 Loss_G: 0.004080 Loss_D_real: -0.015988 Loss_D_fake 0.003303
[1591/5000][395/535][164251] Loss_D: -0.019703 Loss_G: -0.008230 Loss_D_real: -0.004288 Loss_D_fake 0.015415
[1591/5000][400/535][164252] Loss_D: -0.019924 Loss_G: -0.005946 Loss_D_real: -0.008988 Loss_D_fake 0.010936
[1591/5000][405/535][164253] Loss_D: -0.019464 Loss_G: -0.000366 Loss_D_real: -0.020466 Loss_D_fake -0.001002
[1591/5000][410/535][164254] Loss_D: -0.019184 Loss_G: 0.008585 Loss_D_real: -0.014090 Loss_D_fake 0.005094
[1591/5000][415/535][164255] Loss_D: -0.018688 Loss_G: 0.023016 Loss_D_real: -0.031902 Loss_D_fake -0.013214
[1591/5000][420/535][164256] Loss_D: -0.018284 Loss_G: 0.004127 Loss_D_real: -0.006942 Loss_D_fake 0.011342
[1591/5000][425/535][164257] Loss_D: -0.018633 Loss_G: 0.005728 Loss_D_real: -0.002421 Loss_D_fake 0.016212
[1591/5000][430/535][164258] Loss_D: -0.017149 Loss_G: 0.010840 Loss_D_real: -0.027041 Loss_D_fake -0.009892
[1591/5000][435/535][164259] Loss_D: -0.018108 Loss_G: 0.014028 Loss_D_real: -0.018166 Loss_D_fake -0.000058
[1591/5000][440/535][164260] Loss_D: -0.019708 Loss_G: 0.013959 Loss_D_real: -0.030403 Loss_D_fake -0.010694
[1591/5000][445/535][164261] Loss_D: -0.019920 Loss_G: -0.008665 Loss_D_real: -0.008172 Loss_D_fake 0.011748
[1591/5000][450/535][164262] Loss_D: -0.018745 Loss_G: 0.023590 Loss_D_real: -0.035088 Loss_D_fake -0.016344
[1591/5000][455/535][164263] Loss_D: -0.019155 Loss_G: 0.003586 Loss_D_real: -0.012267 Loss_D_fake 0.006888
[1591/5000][460/535][164264] Loss_D: -0.018797 Loss_G: 0.021455 Loss_D_real: -0.024373 Loss_D_fake -0.005576
[1591/5000][465/535][164265] Loss_D: -0.019790 Loss_G: 0.008277 Loss_D_real: -0.020327 Loss_D_fake -0.000537
[1591/5000][470/535][164266] Loss_D: -0.018958 Loss_G: 0.027824 Loss_D_real: -0.021655 Loss_D_fake -0.002697
[1591/5000][475/535][164267] Loss_D: -0.019483 Loss_G: 0.008760 Loss_D_real: -0.022445 Loss_D_fake -0.002962
[1591/5000][480/535][164268] Loss_D: -0.019555 Loss_G: -0.001942 Loss_D_real: -0.026459 Loss_D_fake -0.006904
[1591/5000][485/535][164269] Loss_D: -0.019342 Loss_G: -0.000080 Loss_D_real: -0.025803 Loss_D_fake -0.006461
[1591/5000][490/535][164270] Loss_D: -0.018828 Loss_G: 0.004194 Loss_D_real: -0.005968 Loss_D_fake 0.012860
[1591/5000][495/535][164271] Loss_D: -0.020002 Loss_G: 0.011971 Loss_D_real: -0.032539 Loss_D_fake -0.012537
[1591/5000][500/535][164272] Loss_D: -0.019872 Loss_G: 0.013584 Loss_D_real: -0.017348 Loss_D_fake 0.002524
[1591/5000][505/535][164273] Loss_D: -0.019745 Loss_G: 0.024407 Loss_D_real: -0.022079 Loss_D_fake -0.002333
[1591/5000][510/535][164274] Loss_D: -0.019986 Loss_G: 0.013376 Loss_D_real: -0.032559 Loss_D_fake -0.012573
[1591/5000][515/535][164275] Loss_D: -0.019461 Loss_G: 0.004220 Loss_D_real: -0.007587 Loss_D_fake 0.011874
[1591/5000][520/535][164276] Loss_D: -0.021159 Loss_G: -0.012924 Loss_D_real: -0.007685 Loss_D_fake 0.013474
[1591/5000][525/535][164277] Loss_D: -0.019420 Loss_G: 0.009747 Loss_D_real: -0.012970 Loss_D_fake 0.006450
[1591/5000][530/535][164278] Loss_D: -0.020426 Loss_G: 0.012129 Loss_D_real: -0.012452 Loss_D_fake 0.007974
[1591/5000][535/535][164279] Loss_D: -0.019831 Loss_G: 0.020206 Loss_D_real: -0.009915 Loss_D_fake 0.009916
[1592/5000][5/535][164280] Loss_D: -0.018081 Loss_G: -0.012168 Loss_D_real: -0.001069 Loss_D_fake 0.017012
[1592/5000][10/535][164281] Loss_D: -0.018195 Loss_G: 0.010220 Loss_D_real: -0.018531 Loss_D_fake -0.000337
[1592/5000][15/535][164282] Loss_D: -0.018814 Loss_G: 0.005167 Loss_D_real: -0.013466 Loss_D_fake 0.005348
[1592/5000][20/535][164283] Loss_D: -0.019275 Loss_G: -0.000580 Loss_D_real: -0.011349 Loss_D_fake 0.007926
[1592/5000][25/535][164284] Loss_D: -0.018173 Loss_G: 0.007017 Loss_D_real: 0.000177 Loss_D_fake 0.018351
[1592/5000][30/535][164285] Loss_D: -0.019143 Loss_G: 0.002552 Loss_D_real: -0.017039 Loss_D_fake 0.002104
[1592/5000][35/535][164286] Loss_D: -0.019684 Loss_G: 0.020276 Loss_D_real: -0.027869 Loss_D_fake -0.008186
[1592/5000][40/535][164287] Loss_D: -0.019085 Loss_G: 0.013516 Loss_D_real: -0.022906 Loss_D_fake -0.003821
[1592/5000][45/535][164288] Loss_D: -0.017598 Loss_G: 0.016969 Loss_D_real: -0.019191 Loss_D_fake -0.001593
[1592/5000][50/535][164289] Loss_D: -0.018578 Loss_G: 0.008985 Loss_D_real: -0.023232 Loss_D_fake -0.004654
[1592/5000][55/535][164290] Loss_D: -0.019143 Loss_G: -0.015485 Loss_D_real: -0.009349 Loss_D_fake 0.009794
[1592/5000][60/535][164291] Loss_D: -0.020898 Loss_G: 0.017573 Loss_D_real: -0.019434 Loss_D_fake 0.001464
[1592/5000][65/535][164292] Loss_D: -0.018998 Loss_G: 0.009627 Loss_D_real: -0.019900 Loss_D_fake -0.000902
[1592/5000][70/535][164293] Loss_D: -0.018055 Loss_G: -0.011067 Loss_D_real: -0.001702 Loss_D_fake 0.016353
[1592/5000][75/535][164294] Loss_D: -0.018835 Loss_G: 0.008768 Loss_D_real: -0.012796 Loss_D_fake 0.006039
[1592/5000][80/535][164295] Loss_D: -0.018689 Loss_G: 0.011433 Loss_D_real: -0.027843 Loss_D_fake -0.009154
[1592/5000][85/535][164296] Loss_D: -0.018377 Loss_G: 0.032927 Loss_D_real: -0.032336 Loss_D_fake -0.013959
[1592/5000][90/535][164297] Loss_D: -0.019407 Loss_G: 0.025458 Loss_D_real: -0.027344 Loss_D_fake -0.007937
[1592/5000][95/535][164298] Loss_D: -0.018997 Loss_G: -0.000494 Loss_D_real: -0.021371 Loss_D_fake -0.002375
[1592/5000][100/535][164299] Loss_D: -0.021039 Loss_G: -0.005253 Loss_D_real: -0.023915 Loss_D_fake -0.002876
[1592/5000][105/535][164300] Loss_D: -0.020366 Loss_G: -0.007161 Loss_D_real: -0.001387 Loss_D_fake 0.018978
[1592/5000][110/535][164301] Loss_D: -0.019504 Loss_G: -0.006512 Loss_D_real: -0.007533 Loss_D_fake 0.011971
[1592/5000][115/535][164302] Loss_D: -0.020360 Loss_G: 0.001210 Loss_D_real: -0.004981 Loss_D_fake 0.015379
[1592/5000][120/535][164303] Loss_D: -0.020117 Loss_G: 0.007407 Loss_D_real: -0.008664 Loss_D_fake 0.011453
[1592/5000][125/535][164304] Loss_D: -0.020252 Loss_G: 0.003506 Loss_D_real: -0.015190 Loss_D_fake 0.005062
[1592/5000][130/535][164305] Loss_D: -0.018154 Loss_G: -0.014129 Loss_D_real: -0.002609 Loss_D_fake 0.015545
[1592/5000][135/535][164306] Loss_D: -0.019189 Loss_G: 0.003072 Loss_D_real: -0.012101 Loss_D_fake 0.007088
[1592/5000][140/535][164307] Loss_D: -0.018587 Loss_G: 0.011803 Loss_D_real: -0.029633 Loss_D_fake -0.011046
[1592/5000][145/535][164308] Loss_D: -0.019257 Loss_G: 0.003763 Loss_D_real: -0.023463 Loss_D_fake -0.004205
[1592/5000][150/535][164309] Loss_D: -0.020282 Loss_G: 0.000840 Loss_D_real: -0.005017 Loss_D_fake 0.015265
[1592/5000][155/535][164310] Loss_D: -0.019645 Loss_G: -0.006366 Loss_D_real: -0.015054 Loss_D_fake 0.004591
[1592/5000][160/535][164311] Loss_D: -0.020035 Loss_G: 0.024394 Loss_D_real: -0.022637 Loss_D_fake -0.002602
[1592/5000][165/535][164312] Loss_D: -0.019417 Loss_G: 0.012312 Loss_D_real: -0.019901 Loss_D_fake -0.000484
[1592/5000][170/535][164313] Loss_D: -0.019631 Loss_G: 0.000437 Loss_D_real: -0.001983 Loss_D_fake 0.017647
[1592/5000][175/535][164314] Loss_D: -0.019730 Loss_G: 0.018505 Loss_D_real: -0.014218 Loss_D_fake 0.005512
[1592/5000][180/535][164315] Loss_D: -0.019544 Loss_G: -0.002257 Loss_D_real: -0.015125 Loss_D_fake 0.004419
[1592/5000][185/535][164316] Loss_D: -0.020281 Loss_G: 0.015455 Loss_D_real: -0.028593 Loss_D_fake -0.008312
[1592/5000][190/535][164317] Loss_D: -0.020540 Loss_G: -0.000597 Loss_D_real: -0.009216 Loss_D_fake 0.011324
[1592/5000][195/535][164318] Loss_D: -0.018923 Loss_G: -0.001250 Loss_D_real: 0.004293 Loss_D_fake 0.023216
[1592/5000][200/535][164319] Loss_D: -0.020113 Loss_G: -0.003354 Loss_D_real: -0.004842 Loss_D_fake 0.015271
[1592/5000][205/535][164320] Loss_D: -0.019073 Loss_G: 0.002910 Loss_D_real: -0.015254 Loss_D_fake 0.003819
[1592/5000][210/535][164321] Loss_D: -0.018588 Loss_G: 0.008663 Loss_D_real: -0.010639 Loss_D_fake 0.007949
[1592/5000][215/535][164322] Loss_D: -0.018582 Loss_G: -0.003196 Loss_D_real: -0.014215 Loss_D_fake 0.004367
[1592/5000][220/535][164323] Loss_D: -0.018422 Loss_G: 0.008926 Loss_D_real: -0.018961 Loss_D_fake -0.000539
[1592/5000][225/535][164324] Loss_D: -0.019372 Loss_G: -0.002984 Loss_D_real: -0.006156 Loss_D_fake 0.013216
[1592/5000][230/535][164325] Loss_D: -0.018398 Loss_G: 0.023397 Loss_D_real: -0.027881 Loss_D_fake -0.009484
[1592/5000][235/535][164326] Loss_D: -0.018696 Loss_G: 0.000019 Loss_D_real: -0.012721 Loss_D_fake 0.005975
[1592/5000][240/535][164327] Loss_D: -0.020800 Loss_G: 0.013358 Loss_D_real: -0.033603 Loss_D_fake -0.012803
[1592/5000][245/535][164328] Loss_D: -0.018961 Loss_G: 0.009899 Loss_D_real: -0.022383 Loss_D_fake -0.003421
[1592/5000][250/535][164329] Loss_D: -0.019892 Loss_G: 0.009073 Loss_D_real: -0.023115 Loss_D_fake -0.003223
[1592/5000][255/535][164330] Loss_D: -0.018748 Loss_G: 0.017581 Loss_D_real: -0.022467 Loss_D_fake -0.003719
[1592/5000][260/535][164331] Loss_D: -0.019752 Loss_G: 0.004224 Loss_D_real: -0.014287 Loss_D_fake 0.005465
[1592/5000][265/535][164332] Loss_D: -0.017773 Loss_G: 0.022041 Loss_D_real: -0.019818 Loss_D_fake -0.002045
[1592/5000][270/535][164333] Loss_D: -0.019580 Loss_G: 0.020688 Loss_D_real: -0.023638 Loss_D_fake -0.004057
[1592/5000][275/535][164334] Loss_D: -0.018546 Loss_G: 0.026219 Loss_D_real: -0.031927 Loss_D_fake -0.013381
[1592/5000][280/535][164335] Loss_D: -0.019743 Loss_G: 0.011462 Loss_D_real: -0.023282 Loss_D_fake -0.003539
[1592/5000][285/535][164336] Loss_D: -0.018614 Loss_G: -0.000998 Loss_D_real: -0.015784 Loss_D_fake 0.002831
[1592/5000][290/535][164337] Loss_D: -0.019448 Loss_G: 0.003793 Loss_D_real: -0.013630 Loss_D_fake 0.005818
[1592/5000][295/535][164338] Loss_D: -0.018864 Loss_G: 0.021285 Loss_D_real: -0.031700 Loss_D_fake -0.012836
[1592/5000][300/535][164339] Loss_D: -0.018954 Loss_G: 0.004914 Loss_D_real: -0.018080 Loss_D_fake 0.000874
[1592/5000][305/535][164340] Loss_D: -0.019531 Loss_G: -0.015179 Loss_D_real: -0.007714 Loss_D_fake 0.011817
[1592/5000][310/535][164341] Loss_D: -0.019388 Loss_G: -0.007302 Loss_D_real: -0.001622 Loss_D_fake 0.017767
[1592/5000][315/535][164342] Loss_D: -0.017575 Loss_G: 0.003171 Loss_D_real: -0.003231 Loss_D_fake 0.014344
[1592/5000][320/535][164343] Loss_D: -0.018542 Loss_G: 0.019470 Loss_D_real: -0.025730 Loss_D_fake -0.007187
[1592/5000][325/535][164344] Loss_D: -0.019145 Loss_G: 0.008600 Loss_D_real: -0.023554 Loss_D_fake -0.004409
[1592/5000][330/535][164345] Loss_D: -0.018552 Loss_G: 0.010438 Loss_D_real: -0.030841 Loss_D_fake -0.012289
[1592/5000][335/535][164346] Loss_D: -0.018693 Loss_G: -0.008679 Loss_D_real: 0.006643 Loss_D_fake 0.025336
[1592/5000][340/535][164347] Loss_D: -0.018567 Loss_G: 0.022837 Loss_D_real: -0.017083 Loss_D_fake 0.001484
[1592/5000][345/535][164348] Loss_D: -0.020112 Loss_G: 0.006846 Loss_D_real: -0.018723 Loss_D_fake 0.001389
[1592/5000][350/535][164349] Loss_D: -0.020356 Loss_G: 0.010025 Loss_D_real: -0.022040 Loss_D_fake -0.001684
[1592/5000][355/535][164350] Loss_D: -0.016720 Loss_G: 0.000081 Loss_D_real: -0.009317 Loss_D_fake 0.007403
[1592/5000][360/535][164351] Loss_D: -0.019777 Loss_G: 0.009938 Loss_D_real: -0.010347 Loss_D_fake 0.009430
[1592/5000][365/535][164352] Loss_D: -0.020119 Loss_G: 0.006761 Loss_D_real: -0.015398 Loss_D_fake 0.004722
[1592/5000][370/535][164353] Loss_D: -0.020038 Loss_G: 0.016714 Loss_D_real: -0.019539 Loss_D_fake 0.000499
[1592/5000][375/535][164354] Loss_D: -0.019017 Loss_G: 0.002510 Loss_D_real: -0.004909 Loss_D_fake 0.014108
[1592/5000][380/535][164355] Loss_D: -0.020003 Loss_G: -0.003717 Loss_D_real: 0.001025 Loss_D_fake 0.021028
[1592/5000][385/535][164356] Loss_D: -0.019239 Loss_G: 0.008631 Loss_D_real: -0.018233 Loss_D_fake 0.001006
[1592/5000][390/535][164357] Loss_D: -0.019380 Loss_G: 0.010652 Loss_D_real: -0.016253 Loss_D_fake 0.003126
[1592/5000][395/535][164358] Loss_D: -0.019160 Loss_G: 0.009515 Loss_D_real: -0.025431 Loss_D_fake -0.006272
[1592/5000][400/535][164359] Loss_D: -0.018428 Loss_G: 0.015773 Loss_D_real: -0.029929 Loss_D_fake -0.011501
[1592/5000][405/535][164360] Loss_D: -0.020976 Loss_G: 0.016012 Loss_D_real: -0.021732 Loss_D_fake -0.000755
[1592/5000][410/535][164361] Loss_D: -0.018744 Loss_G: -0.010905 Loss_D_real: -0.004632 Loss_D_fake 0.014111
[1592/5000][415/535][164362] Loss_D: -0.018605 Loss_G: 0.026379 Loss_D_real: -0.025148 Loss_D_fake -0.006543
[1592/5000][420/535][164363] Loss_D: -0.019461 Loss_G: 0.016451 Loss_D_real: -0.017407 Loss_D_fake 0.002054
[1592/5000][425/535][164364] Loss_D: -0.019243 Loss_G: -0.004018 Loss_D_real: -0.005610 Loss_D_fake 0.013633
[1592/5000][430/535][164365] Loss_D: -0.020207 Loss_G: 0.013868 Loss_D_real: -0.027367 Loss_D_fake -0.007160
[1592/5000][435/535][164366] Loss_D: -0.019008 Loss_G: -0.020655 Loss_D_real: -0.005431 Loss_D_fake 0.013577
[1592/5000][440/535][164367] Loss_D: -0.018692 Loss_G: 0.019767 Loss_D_real: -0.015005 Loss_D_fake 0.003687
[1592/5000][445/535][164368] Loss_D: -0.017522 Loss_G: -0.014045 Loss_D_real: 0.007477 Loss_D_fake 0.024999
[1592/5000][450/535][164369] Loss_D: -0.018562 Loss_G: 0.021640 Loss_D_real: -0.022166 Loss_D_fake -0.003604
[1592/5000][455/535][164370] Loss_D: -0.020346 Loss_G: -0.007903 Loss_D_real: -0.011540 Loss_D_fake 0.008805
[1592/5000][460/535][164371] Loss_D: -0.018815 Loss_G: -0.002774 Loss_D_real: 0.008668 Loss_D_fake 0.027483
[1592/5000][465/535][164372] Loss_D: -0.020128 Loss_G: 0.007269 Loss_D_real: -0.016087 Loss_D_fake 0.004040
[1592/5000][470/535][164373] Loss_D: -0.021811 Loss_G: 0.020930 Loss_D_real: -0.021972 Loss_D_fake -0.000161
[1592/5000][475/535][164374] Loss_D: -0.018981 Loss_G: 0.026256 Loss_D_real: -0.020821 Loss_D_fake -0.001840
[1592/5000][480/535][164375] Loss_D: -0.020001 Loss_G: -0.005523 Loss_D_real: -0.018953 Loss_D_fake 0.001048
[1592/5000][485/535][164376] Loss_D: -0.018747 Loss_G: 0.018567 Loss_D_real: -0.028348 Loss_D_fake -0.009601
[1592/5000][490/535][164377] Loss_D: -0.019519 Loss_G: -0.005116 Loss_D_real: -0.016219 Loss_D_fake 0.003300
[1592/5000][495/535][164378] Loss_D: -0.018691 Loss_G: 0.003396 Loss_D_real: -0.011884 Loss_D_fake 0.006807
[1592/5000][500/535][164379] Loss_D: -0.018965 Loss_G: 0.012736 Loss_D_real: -0.025280 Loss_D_fake -0.006315
[1592/5000][505/535][164380] Loss_D: -0.019096 Loss_G: 0.018665 Loss_D_real: -0.015294 Loss_D_fake 0.003802
[1592/5000][510/535][164381] Loss_D: -0.019917 Loss_G: -0.004119 Loss_D_real: -0.006442 Loss_D_fake 0.013475
[1592/5000][515/535][164382] Loss_D: -0.018599 Loss_G: 0.009549 Loss_D_real: -0.019511 Loss_D_fake -0.000912
[1592/5000][520/535][164383] Loss_D: -0.018013 Loss_G: -0.002279 Loss_D_real: -0.007089 Loss_D_fake 0.010924
[1592/5000][525/535][164384] Loss_D: -0.018231 Loss_G: -0.006358 Loss_D_real: -0.017930 Loss_D_fake 0.000301
[1592/5000][530/535][164385] Loss_D: -0.018551 Loss_G: 0.004705 Loss_D_real: -0.019639 Loss_D_fake -0.001088
[1592/5000][535/535][164386] Loss_D: -0.021913 Loss_G: 0.009937 Loss_D_real: -0.030757 Loss_D_fake -0.008844
[1593/5000][5/535][164387] Loss_D: -0.020514 Loss_G: 0.016990 Loss_D_real: -0.022003 Loss_D_fake -0.001489
[1593/5000][10/535][164388] Loss_D: -0.019727 Loss_G: -0.001179 Loss_D_real: -0.004221 Loss_D_fake 0.015506
[1593/5000][15/535][164389] Loss_D: -0.017258 Loss_G: 0.026060 Loss_D_real: -0.032844 Loss_D_fake -0.015586
[1593/5000][20/535][164390] Loss_D: -0.020621 Loss_G: 0.012817 Loss_D_real: -0.025502 Loss_D_fake -0.004881
[1593/5000][25/535][164391] Loss_D: -0.020798 Loss_G: 0.016187 Loss_D_real: -0.029057 Loss_D_fake -0.008259
[1593/5000][30/535][164392] Loss_D: -0.020530 Loss_G: -0.006565 Loss_D_real: -0.006872 Loss_D_fake 0.013657
[1593/5000][35/535][164393] Loss_D: -0.019078 Loss_G: 0.010259 Loss_D_real: -0.015466 Loss_D_fake 0.003613
[1593/5000][40/535][164394] Loss_D: -0.019514 Loss_G: 0.015960 Loss_D_real: -0.030622 Loss_D_fake -0.011107
[1593/5000][45/535][164395] Loss_D: -0.019772 Loss_G: 0.023109 Loss_D_real: -0.035754 Loss_D_fake -0.015982
[1593/5000][50/535][164396] Loss_D: -0.020017 Loss_G: 0.009380 Loss_D_real: -0.023424 Loss_D_fake -0.003408
[1593/5000][55/535][164397] Loss_D: -0.019307 Loss_G: 0.020133 Loss_D_real: -0.028457 Loss_D_fake -0.009151
[1593/5000][60/535][164398] Loss_D: -0.018990 Loss_G: 0.000498 Loss_D_real: -0.009034 Loss_D_fake 0.009956
[1593/5000][65/535][164399] Loss_D: -0.019670 Loss_G: 0.011632 Loss_D_real: -0.021765 Loss_D_fake -0.002095
[1593/5000][70/535][164400] Loss_D: -0.019708 Loss_G: 0.002969 Loss_D_real: -0.011153 Loss_D_fake 0.008554
[1593/5000][75/535][164401] Loss_D: -0.017796 Loss_G: 0.012860 Loss_D_real: -0.026650 Loss_D_fake -0.008854
[1593/5000][80/535][164402] Loss_D: -0.019769 Loss_G: 0.003988 Loss_D_real: -0.019489 Loss_D_fake 0.000280
[1593/5000][85/535][164403] Loss_D: -0.019912 Loss_G: 0.006994 Loss_D_real: -0.029939 Loss_D_fake -0.010027
[1593/5000][90/535][164404] Loss_D: -0.019504 Loss_G: 0.013941 Loss_D_real: -0.017392 Loss_D_fake 0.002112
[1593/5000][95/535][164405] Loss_D: -0.020018 Loss_G: 0.015995 Loss_D_real: -0.027517 Loss_D_fake -0.007499
[1593/5000][100/535][164406] Loss_D: -0.017802 Loss_G: 0.007588 Loss_D_real: -0.010825 Loss_D_fake 0.006977
[1593/5000][105/535][164407] Loss_D: -0.019185 Loss_G: 0.008460 Loss_D_real: -0.025748 Loss_D_fake -0.006562
[1593/5000][110/535][164408] Loss_D: -0.019141 Loss_G: -0.005890 Loss_D_real: -0.018179 Loss_D_fake 0.000962
[1593/5000][115/535][164409] Loss_D: -0.019448 Loss_G: 0.020907 Loss_D_real: -0.018445 Loss_D_fake 0.001003
[1593/5000][120/535][164410] Loss_D: -0.018206 Loss_G: 0.021713 Loss_D_real: -0.015242 Loss_D_fake 0.002965
[1593/5000][125/535][164411] Loss_D: -0.019472 Loss_G: 0.004007 Loss_D_real: -0.020412 Loss_D_fake -0.000940
[1593/5000][130/535][164412] Loss_D: -0.019116 Loss_G: 0.007391 Loss_D_real: -0.011204 Loss_D_fake 0.007912
[1593/5000][135/535][164413] Loss_D: -0.018312 Loss_G: 0.017128 Loss_D_real: -0.021463 Loss_D_fake -0.003151
[1593/5000][140/535][164414] Loss_D: -0.019679 Loss_G: 0.001290 Loss_D_real: -0.001079 Loss_D_fake 0.018600
[1593/5000][145/535][164415] Loss_D: -0.018600 Loss_G: 0.014113 Loss_D_real: -0.018257 Loss_D_fake 0.000343
[1593/5000][150/535][164416] Loss_D: -0.018552 Loss_G: -0.003426 Loss_D_real: -0.009516 Loss_D_fake 0.009036
[1593/5000][155/535][164417] Loss_D: -0.018146 Loss_G: 0.016834 Loss_D_real: -0.030961 Loss_D_fake -0.012814
[1593/5000][160/535][164418] Loss_D: -0.020122 Loss_G: 0.000412 Loss_D_real: -0.009281 Loss_D_fake 0.010841
[1593/5000][165/535][164419] Loss_D: -0.018926 Loss_G: 0.017648 Loss_D_real: -0.019298 Loss_D_fake -0.000372
[1593/5000][170/535][164420] Loss_D: -0.019296 Loss_G: -0.004659 Loss_D_real: -0.014035 Loss_D_fake 0.005260
[1593/5000][175/535][164421] Loss_D: -0.018154 Loss_G: 0.006561 Loss_D_real: -0.014719 Loss_D_fake 0.003436
[1593/5000][180/535][164422] Loss_D: -0.019742 Loss_G: 0.025426 Loss_D_real: -0.015221 Loss_D_fake 0.004521
[1593/5000][185/535][164423] Loss_D: -0.019243 Loss_G: -0.000519 Loss_D_real: -0.013370 Loss_D_fake 0.005872
[1593/5000][190/535][164424] Loss_D: -0.018802 Loss_G: 0.018727 Loss_D_real: -0.033335 Loss_D_fake -0.014533
[1593/5000][195/535][164425] Loss_D: -0.017548 Loss_G: 0.024894 Loss_D_real: -0.037317 Loss_D_fake -0.019769
[1593/5000][200/535][164426] Loss_D: -0.019183 Loss_G: -0.003500 Loss_D_real: -0.006975 Loss_D_fake 0.012207
[1593/5000][205/535][164427] Loss_D: -0.018942 Loss_G: 0.018904 Loss_D_real: -0.020902 Loss_D_fake -0.001960
[1593/5000][210/535][164428] Loss_D: -0.017435 Loss_G: -0.024528 Loss_D_real: 0.001653 Loss_D_fake 0.019089
[1593/5000][215/535][164429] Loss_D: -0.018912 Loss_G: 0.000170 Loss_D_real: -0.001951 Loss_D_fake 0.016961
[1593/5000][220/535][164430] Loss_D: -0.019617 Loss_G: 0.004718 Loss_D_real: -0.015933 Loss_D_fake 0.003684
[1593/5000][225/535][164431] Loss_D: -0.020735 Loss_G: -0.016112 Loss_D_real: -0.008433 Loss_D_fake 0.012302
[1593/5000][230/535][164432] Loss_D: -0.019730 Loss_G: 0.005219 Loss_D_real: -0.018441 Loss_D_fake 0.001289
[1593/5000][235/535][164433] Loss_D: -0.019367 Loss_G: 0.001169 Loss_D_real: -0.024419 Loss_D_fake -0.005052
[1593/5000][240/535][164434] Loss_D: -0.020114 Loss_G: 0.015552 Loss_D_real: -0.015615 Loss_D_fake 0.004499
[1593/5000][245/535][164435] Loss_D: -0.019597 Loss_G: 0.019913 Loss_D_real: -0.026825 Loss_D_fake -0.007228
[1593/5000][250/535][164436] Loss_D: -0.019088 Loss_G: 0.017791 Loss_D_real: -0.004860 Loss_D_fake 0.014228
[1593/5000][255/535][164437] Loss_D: -0.019983 Loss_G: 0.000875 Loss_D_real: -0.019696 Loss_D_fake 0.000286
[1593/5000][260/535][164438] Loss_D: -0.019304 Loss_G: -0.000893 Loss_D_real: -0.013316 Loss_D_fake 0.005987
[1593/5000][265/535][164439] Loss_D: -0.019326 Loss_G: -0.013875 Loss_D_real: 0.004192 Loss_D_fake 0.023519
[1593/5000][270/535][164440] Loss_D: -0.019632 Loss_G: 0.016055 Loss_D_real: -0.017548 Loss_D_fake 0.002084
[1593/5000][275/535][164441] Loss_D: -0.020324 Loss_G: 0.021031 Loss_D_real: -0.028268 Loss_D_fake -0.007944
[1593/5000][280/535][164442] Loss_D: -0.019000 Loss_G: -0.005434 Loss_D_real: -0.002903 Loss_D_fake 0.016096
[1593/5000][285/535][164443] Loss_D: -0.018291 Loss_G: 0.008148 Loss_D_real: -0.026403 Loss_D_fake -0.008112
[1593/5000][290/535][164444] Loss_D: -0.018474 Loss_G: 0.027540 Loss_D_real: -0.025163 Loss_D_fake -0.006688
[1593/5000][295/535][164445] Loss_D: -0.018776 Loss_G: 0.018050 Loss_D_real: -0.027593 Loss_D_fake -0.008817
[1593/5000][300/535][164446] Loss_D: -0.019731 Loss_G: 0.020349 Loss_D_real: -0.021447 Loss_D_fake -0.001716
[1593/5000][305/535][164447] Loss_D: -0.018649 Loss_G: 0.003273 Loss_D_real: -0.020332 Loss_D_fake -0.001684
[1593/5000][310/535][164448] Loss_D: -0.020999 Loss_G: -0.004763 Loss_D_real: -0.017182 Loss_D_fake 0.003817
[1593/5000][315/535][164449] Loss_D: -0.018866 Loss_G: 0.002106 Loss_D_real: -0.020821 Loss_D_fake -0.001956
[1593/5000][320/535][164450] Loss_D: -0.018872 Loss_G: 0.001777 Loss_D_real: -0.013087 Loss_D_fake 0.005785
[1593/5000][325/535][164451] Loss_D: -0.018877 Loss_G: 0.005705 Loss_D_real: -0.003959 Loss_D_fake 0.014918
[1593/5000][330/535][164452] Loss_D: -0.019784 Loss_G: 0.011990 Loss_D_real: -0.018815 Loss_D_fake 0.000968
[1593/5000][335/535][164453] Loss_D: -0.019136 Loss_G: 0.010917 Loss_D_real: -0.020574 Loss_D_fake -0.001438
[1593/5000][340/535][164454] Loss_D: -0.018567 Loss_G: 0.006927 Loss_D_real: -0.020453 Loss_D_fake -0.001886
[1593/5000][345/535][164455] Loss_D: -0.019109 Loss_G: 0.012672 Loss_D_real: -0.026875 Loss_D_fake -0.007766
[1593/5000][350/535][164456] Loss_D: -0.019670 Loss_G: 0.014373 Loss_D_real: -0.024269 Loss_D_fake -0.004600
[1593/5000][355/535][164457] Loss_D: -0.020171 Loss_G: 0.019021 Loss_D_real: -0.017358 Loss_D_fake 0.002813
[1593/5000][360/535][164458] Loss_D: -0.018442 Loss_G: -0.018936 Loss_D_real: -0.000189 Loss_D_fake 0.018252
[1593/5000][365/535][164459] Loss_D: -0.017679 Loss_G: 0.018870 Loss_D_real: -0.011490 Loss_D_fake 0.006189
[1593/5000][370/535][164460] Loss_D: -0.017796 Loss_G: -0.000639 Loss_D_real: -0.021870 Loss_D_fake -0.004075
[1593/5000][375/535][164461] Loss_D: -0.018183 Loss_G: 0.020896 Loss_D_real: -0.017734 Loss_D_fake 0.000449
[1593/5000][380/535][164462] Loss_D: -0.018240 Loss_G: 0.024589 Loss_D_real: -0.029074 Loss_D_fake -0.010834
[1593/5000][385/535][164463] Loss_D: -0.018103 Loss_G: 0.010826 Loss_D_real: -0.010620 Loss_D_fake 0.007483
[1593/5000][390/535][164464] Loss_D: -0.018898 Loss_G: -0.001143 Loss_D_real: -0.021421 Loss_D_fake -0.002522
[1593/5000][395/535][164465] Loss_D: -0.019921 Loss_G: -0.006224 Loss_D_real: -0.003242 Loss_D_fake 0.016679
[1593/5000][400/535][164466] Loss_D: -0.020433 Loss_G: -0.003893 Loss_D_real: -0.021222 Loss_D_fake -0.000789
[1593/5000][405/535][164467] Loss_D: -0.018693 Loss_G: 0.017383 Loss_D_real: -0.024960 Loss_D_fake -0.006267
[1593/5000][410/535][164468] Loss_D: -0.018901 Loss_G: 0.003417 Loss_D_real: -0.008121 Loss_D_fake 0.010780
[1593/5000][415/535][164469] Loss_D: -0.018162 Loss_G: -0.001874 Loss_D_real: -0.007840 Loss_D_fake 0.010322
[1593/5000][420/535][164470] Loss_D: -0.018977 Loss_G: 0.019800 Loss_D_real: -0.033928 Loss_D_fake -0.014951
[1593/5000][425/535][164471] Loss_D: -0.018363 Loss_G: 0.023653 Loss_D_real: -0.026324 Loss_D_fake -0.007962
[1593/5000][430/535][164472] Loss_D: -0.018997 Loss_G: 0.000102 Loss_D_real: -0.011038 Loss_D_fake 0.007960
[1593/5000][435/535][164473] Loss_D: -0.018958 Loss_G: 0.014540 Loss_D_real: -0.015376 Loss_D_fake 0.003582
[1593/5000][440/535][164474] Loss_D: -0.018330 Loss_G: 0.011463 Loss_D_real: -0.024149 Loss_D_fake -0.005819
[1593/5000][445/535][164475] Loss_D: -0.017506 Loss_G: 0.033010 Loss_D_real: -0.037490 Loss_D_fake -0.019985
[1593/5000][450/535][164476] Loss_D: -0.018933 Loss_G: 0.009415 Loss_D_real: -0.024538 Loss_D_fake -0.005605
[1593/5000][455/535][164477] Loss_D: -0.018602 Loss_G: 0.012679 Loss_D_real: -0.026675 Loss_D_fake -0.008073
[1593/5000][460/535][164478] Loss_D: -0.020707 Loss_G: 0.008271 Loss_D_real: -0.017823 Loss_D_fake 0.002884
[1593/5000][465/535][164479] Loss_D: -0.019779 Loss_G: 0.012990 Loss_D_real: -0.014994 Loss_D_fake 0.004785
[1593/5000][470/535][164480] Loss_D: -0.018470 Loss_G: 0.021552 Loss_D_real: -0.029825 Loss_D_fake -0.011355
[1593/5000][475/535][164481] Loss_D: -0.019283 Loss_G: 0.022523 Loss_D_real: -0.029344 Loss_D_fake -0.010061
[1593/5000][480/535][164482] Loss_D: -0.019283 Loss_G: -0.002761 Loss_D_real: -0.013219 Loss_D_fake 0.006064
[1593/5000][485/535][164483] Loss_D: -0.019918 Loss_G: 0.006892 Loss_D_real: -0.026365 Loss_D_fake -0.006447
[1593/5000][490/535][164484] Loss_D: -0.018798 Loss_G: 0.007846 Loss_D_real: -0.011590 Loss_D_fake 0.007207
[1593/5000][495/535][164485] Loss_D: -0.017822 Loss_G: 0.027536 Loss_D_real: -0.025949 Loss_D_fake -0.008127
[1593/5000][500/535][164486] Loss_D: -0.019137 Loss_G: -0.015650 Loss_D_real: -0.002977 Loss_D_fake 0.016160
[1593/5000][505/535][164487] Loss_D: -0.018080 Loss_G: 0.003094 Loss_D_real: -0.003236 Loss_D_fake 0.014845
[1593/5000][510/535][164488] Loss_D: -0.018862 Loss_G: -0.000167 Loss_D_real: -0.013738 Loss_D_fake 0.005124
[1593/5000][515/535][164489] Loss_D: -0.017569 Loss_G: -0.016042 Loss_D_real: 0.004023 Loss_D_fake 0.021592
[1593/5000][520/535][164490] Loss_D: -0.018528 Loss_G: 0.000792 Loss_D_real: -0.000420 Loss_D_fake 0.018108
[1593/5000][525/535][164491] Loss_D: -0.016997 Loss_G: -0.001131 Loss_D_real: -0.001972 Loss_D_fake 0.015025
[1593/5000][530/535][164492] Loss_D: -0.018220 Loss_G: 0.005329 Loss_D_real: -0.024266 Loss_D_fake -0.006047
[1593/5000][535/535][164493] Loss_D: -0.016822 Loss_G: -0.020851 Loss_D_real: -0.006199 Loss_D_fake 0.010623
[1594/5000][5/535][164494] Loss_D: -0.019501 Loss_G: 0.019153 Loss_D_real: -0.015823 Loss_D_fake 0.003678
[1594/5000][10/535][164495] Loss_D: -0.018359 Loss_G: -0.025139 Loss_D_real: 0.002676 Loss_D_fake 0.021035
[1594/5000][15/535][164496] Loss_D: -0.019276 Loss_G: 0.013146 Loss_D_real: -0.028490 Loss_D_fake -0.009215
[1594/5000][20/535][164497] Loss_D: -0.018238 Loss_G: 0.031883 Loss_D_real: -0.023256 Loss_D_fake -0.005017
[1594/5000][25/535][164498] Loss_D: -0.018972 Loss_G: 0.005884 Loss_D_real: -0.014767 Loss_D_fake 0.004205
[1594/5000][30/535][164499] Loss_D: -0.020086 Loss_G: -0.002396 Loss_D_real: -0.009816 Loss_D_fake 0.010270
[1594/5000][35/535][164500] Loss_D: -0.020150 Loss_G: -0.007739 Loss_D_real: -0.005414 Loss_D_fake 0.014737
[1594/5000][135/535][164501] Loss_D: -0.024099 Loss_G: 0.028747 Loss_D_real: -0.025968 Loss_D_fake -0.001869
[1594/5000][140/535][164502] Loss_D: -0.017289 Loss_G: 0.008553 Loss_D_real: -0.017932 Loss_D_fake -0.000643
[1594/5000][145/535][164503] Loss_D: -0.016862 Loss_G: 0.001977 Loss_D_real: -0.016700 Loss_D_fake 0.000162
[1594/5000][150/535][164504] Loss_D: -0.017246 Loss_G: 0.004882 Loss_D_real: -0.008809 Loss_D_fake 0.008437
[1594/5000][155/535][164505] Loss_D: -0.018173 Loss_G: 0.009990 Loss_D_real: -0.014937 Loss_D_fake 0.003236
[1594/5000][160/535][164506] Loss_D: -0.018055 Loss_G: -0.003598 Loss_D_real: -0.013120 Loss_D_fake 0.004934
[1594/5000][165/535][164507] Loss_D: -0.015623 Loss_G: 0.024744 Loss_D_real: -0.024926 Loss_D_fake -0.009303
[1594/5000][170/535][164508] Loss_D: -0.017067 Loss_G: 0.011529 Loss_D_real: -0.012675 Loss_D_fake 0.004391
[1594/5000][175/535][164509] Loss_D: -0.017852 Loss_G: 0.010342 Loss_D_real: -0.028600 Loss_D_fake -0.010748
[1594/5000][180/535][164510] Loss_D: -0.016839 Loss_G: -0.009142 Loss_D_real: -0.002996 Loss_D_fake 0.013843
[1594/5000][185/535][164511] Loss_D: -0.019775 Loss_G: 0.005736 Loss_D_real: -0.014461 Loss_D_fake 0.005314
[1594/5000][190/535][164512] Loss_D: -0.020014 Loss_G: -0.003218 Loss_D_real: -0.021093 Loss_D_fake -0.001079
[1594/5000][195/535][164513] Loss_D: -0.018185 Loss_G: 0.018081 Loss_D_real: -0.020631 Loss_D_fake -0.002446
[1594/5000][200/535][164514] Loss_D: -0.017976 Loss_G: 0.022082 Loss_D_real: -0.032811 Loss_D_fake -0.014835
[1594/5000][205/535][164515] Loss_D: -0.020030 Loss_G: 0.012498 Loss_D_real: -0.023041 Loss_D_fake -0.003011
[1594/5000][210/535][164516] Loss_D: -0.019098 Loss_G: 0.001123 Loss_D_real: -0.011943 Loss_D_fake 0.007156
[1594/5000][215/535][164517] Loss_D: -0.018441 Loss_G: -0.001262 Loss_D_real: -0.012627 Loss_D_fake 0.005814
[1594/5000][220/535][164518] Loss_D: -0.018638 Loss_G: -0.003666 Loss_D_real: -0.006704 Loss_D_fake 0.011934
[1594/5000][225/535][164519] Loss_D: -0.019469 Loss_G: 0.005400 Loss_D_real: -0.023021 Loss_D_fake -0.003553
[1594/5000][230/535][164520] Loss_D: -0.017559 Loss_G: 0.017578 Loss_D_real: -0.030800 Loss_D_fake -0.013240
[1594/5000][235/535][164521] Loss_D: -0.018539 Loss_G: -0.002765 Loss_D_real: -0.027321 Loss_D_fake -0.008782
[1594/5000][240/535][164522] Loss_D: -0.019237 Loss_G: 0.017993 Loss_D_real: -0.023742 Loss_D_fake -0.004505
[1594/5000][245/535][164523] Loss_D: -0.018195 Loss_G: 0.026773 Loss_D_real: -0.027130 Loss_D_fake -0.008936
[1594/5000][250/535][164524] Loss_D: -0.020242 Loss_G: -0.005403 Loss_D_real: -0.014808 Loss_D_fake 0.005434
[1594/5000][255/535][164525] Loss_D: -0.018496 Loss_G: -0.002061 Loss_D_real: -0.007261 Loss_D_fake 0.011235
[1594/5000][260/535][164526] Loss_D: -0.021455 Loss_G: 0.003956 Loss_D_real: -0.017800 Loss_D_fake 0.003654
[1594/5000][265/535][164527] Loss_D: -0.020094 Loss_G: 0.009751 Loss_D_real: -0.021093 Loss_D_fake -0.000999
[1594/5000][270/535][164528] Loss_D: -0.018962 Loss_G: 0.013632 Loss_D_real: -0.009501 Loss_D_fake 0.009461
[1594/5000][275/535][164529] Loss_D: -0.018781 Loss_G: -0.005685 Loss_D_real: -0.003895 Loss_D_fake 0.014886
[1594/5000][280/535][164530] Loss_D: -0.018172 Loss_G: 0.019340 Loss_D_real: -0.033498 Loss_D_fake -0.015326
[1594/5000][285/535][164531] Loss_D: -0.020766 Loss_G: 0.018598 Loss_D_real: -0.022677 Loss_D_fake -0.001911
[1594/5000][290/535][164532] Loss_D: -0.017039 Loss_G: 0.013775 Loss_D_real: -0.025899 Loss_D_fake -0.008859
[1594/5000][295/535][164533] Loss_D: -0.018689 Loss_G: 0.011698 Loss_D_real: -0.015128 Loss_D_fake 0.003561
[1594/5000][300/535][164534] Loss_D: -0.019536 Loss_G: 0.021758 Loss_D_real: -0.025624 Loss_D_fake -0.006088
[1594/5000][305/535][164535] Loss_D: -0.018820 Loss_G: 0.010153 Loss_D_real: -0.027309 Loss_D_fake -0.008489
[1594/5000][310/535][164536] Loss_D: -0.019114 Loss_G: 0.016491 Loss_D_real: -0.027905 Loss_D_fake -0.008792
[1594/5000][315/535][164537] Loss_D: -0.018862 Loss_G: 0.026617 Loss_D_real: -0.018120 Loss_D_fake 0.000741
[1594/5000][320/535][164538] Loss_D: -0.018411 Loss_G: 0.015040 Loss_D_real: -0.021810 Loss_D_fake -0.003399
[1594/5000][325/535][164539] Loss_D: -0.019007 Loss_G: -0.012248 Loss_D_real: -0.001941 Loss_D_fake 0.017067
[1594/5000][330/535][164540] Loss_D: -0.017111 Loss_G: 0.022596 Loss_D_real: -0.037678 Loss_D_fake -0.020568
[1594/5000][335/535][164541] Loss_D: -0.018593 Loss_G: 0.018236 Loss_D_real: -0.014563 Loss_D_fake 0.004030
[1594/5000][340/535][164542] Loss_D: -0.019920 Loss_G: 0.012576 Loss_D_real: -0.022298 Loss_D_fake -0.002378
[1594/5000][345/535][164543] Loss_D: -0.019678 Loss_G: -0.014970 Loss_D_real: -0.005731 Loss_D_fake 0.013947
[1594/5000][350/535][164544] Loss_D: -0.017597 Loss_G: -0.005113 Loss_D_real: -0.020858 Loss_D_fake -0.003260
[1594/5000][355/535][164545] Loss_D: -0.017439 Loss_G: 0.009331 Loss_D_real: -0.028482 Loss_D_fake -0.011043
[1594/5000][360/535][164546] Loss_D: -0.018357 Loss_G: 0.017888 Loss_D_real: -0.024865 Loss_D_fake -0.006508
[1594/5000][365/535][164547] Loss_D: -0.019379 Loss_G: -0.003952 Loss_D_real: -0.019050 Loss_D_fake 0.000329
[1594/5000][370/535][164548] Loss_D: -0.018493 Loss_G: 0.015607 Loss_D_real: -0.026723 Loss_D_fake -0.008231
[1594/5000][375/535][164549] Loss_D: -0.018295 Loss_G: -0.007139 Loss_D_real: 0.012585 Loss_D_fake 0.030881
[1594/5000][380/535][164550] Loss_D: -0.018958 Loss_G: 0.015504 Loss_D_real: -0.022090 Loss_D_fake -0.003132
[1594/5000][385/535][164551] Loss_D: -0.018728 Loss_G: 0.004743 Loss_D_real: -0.010340 Loss_D_fake 0.008388
[1594/5000][390/535][164552] Loss_D: -0.020745 Loss_G: 0.014326 Loss_D_real: -0.016671 Loss_D_fake 0.004074
[1594/5000][395/535][164553] Loss_D: -0.019066 Loss_G: 0.024371 Loss_D_real: -0.026661 Loss_D_fake -0.007595
[1594/5000][400/535][164554] Loss_D: -0.016774 Loss_G: 0.026583 Loss_D_real: -0.035162 Loss_D_fake -0.018388
[1594/5000][405/535][164555] Loss_D: -0.019184 Loss_G: 0.020590 Loss_D_real: -0.026482 Loss_D_fake -0.007298
[1594/5000][410/535][164556] Loss_D: -0.018941 Loss_G: 0.028553 Loss_D_real: -0.040467 Loss_D_fake -0.021527
[1594/5000][415/535][164557] Loss_D: -0.019997 Loss_G: -0.002420 Loss_D_real: -0.011932 Loss_D_fake 0.008065
[1594/5000][420/535][164558] Loss_D: -0.017326 Loss_G: 0.018184 Loss_D_real: -0.025059 Loss_D_fake -0.007732
[1594/5000][425/535][164559] Loss_D: -0.020023 Loss_G: -0.000794 Loss_D_real: -0.026392 Loss_D_fake -0.006369
[1594/5000][430/535][164560] Loss_D: -0.019383 Loss_G: 0.016270 Loss_D_real: -0.020824 Loss_D_fake -0.001441
[1594/5000][435/535][164561] Loss_D: -0.019036 Loss_G: 0.012826 Loss_D_real: -0.025661 Loss_D_fake -0.006624
[1594/5000][440/535][164562] Loss_D: -0.019860 Loss_G: 0.010989 Loss_D_real: -0.013582 Loss_D_fake 0.006278
[1594/5000][445/535][164563] Loss_D: -0.020765 Loss_G: 0.001422 Loss_D_real: -0.017722 Loss_D_fake 0.003043
[1594/5000][450/535][164564] Loss_D: -0.020121 Loss_G: 0.003870 Loss_D_real: -0.017422 Loss_D_fake 0.002699
[1594/5000][455/535][164565] Loss_D: -0.018957 Loss_G: -0.002422 Loss_D_real: -0.005341 Loss_D_fake 0.013616
[1594/5000][460/535][164566] Loss_D: -0.017351 Loss_G: 0.027052 Loss_D_real: -0.025499 Loss_D_fake -0.008148
[1594/5000][465/535][164567] Loss_D: -0.018835 Loss_G: 0.004167 Loss_D_real: -0.006152 Loss_D_fake 0.012682
[1594/5000][470/535][164568] Loss_D: -0.019963 Loss_G: 0.005580 Loss_D_real: -0.016127 Loss_D_fake 0.003836
[1594/5000][475/535][164569] Loss_D: -0.019582 Loss_G: 0.023485 Loss_D_real: -0.015805 Loss_D_fake 0.003777
[1594/5000][480/535][164570] Loss_D: -0.019963 Loss_G: 0.020605 Loss_D_real: -0.029728 Loss_D_fake -0.009765
[1594/5000][485/535][164571] Loss_D: -0.020010 Loss_G: -0.010479 Loss_D_real: -0.014171 Loss_D_fake 0.005838
[1594/5000][490/535][164572] Loss_D: -0.019398 Loss_G: -0.005266 Loss_D_real: -0.000339 Loss_D_fake 0.019059
[1594/5000][495/535][164573] Loss_D: -0.018652 Loss_G: 0.000251 Loss_D_real: -0.000961 Loss_D_fake 0.017690
[1594/5000][500/535][164574] Loss_D: -0.019433 Loss_G: 0.012365 Loss_D_real: -0.012804 Loss_D_fake 0.006629
[1594/5000][505/535][164575] Loss_D: -0.019311 Loss_G: 0.021525 Loss_D_real: -0.024587 Loss_D_fake -0.005275
[1594/5000][510/535][164576] Loss_D: -0.018861 Loss_G: 0.022698 Loss_D_real: -0.019981 Loss_D_fake -0.001120
[1594/5000][515/535][164577] Loss_D: -0.019682 Loss_G: 0.029720 Loss_D_real: -0.024177 Loss_D_fake -0.004495
[1594/5000][520/535][164578] Loss_D: -0.021652 Loss_G: -0.010429 Loss_D_real: -0.008854 Loss_D_fake 0.012799
[1594/5000][525/535][164579] Loss_D: -0.018873 Loss_G: 0.014726 Loss_D_real: -0.021528 Loss_D_fake -0.002655
[1594/5000][530/535][164580] Loss_D: -0.019452 Loss_G: 0.019382 Loss_D_real: -0.019717 Loss_D_fake -0.000266
[1594/5000][535/535][164581] Loss_D: -0.019811 Loss_G: 0.007095 Loss_D_real: -0.005100 Loss_D_fake 0.014711
[1595/5000][5/535][164582] Loss_D: -0.019361 Loss_G: 0.002380 Loss_D_real: -0.018320 Loss_D_fake 0.001041
[1595/5000][10/535][164583] Loss_D: -0.020125 Loss_G: 0.017535 Loss_D_real: -0.005129 Loss_D_fake 0.014997
[1595/5000][15/535][164584] Loss_D: -0.019312 Loss_G: -0.007638 Loss_D_real: -0.002552 Loss_D_fake 0.016760
[1595/5000][20/535][164585] Loss_D: -0.019130 Loss_G: 0.015368 Loss_D_real: -0.024520 Loss_D_fake -0.005390
[1595/5000][25/535][164586] Loss_D: -0.019873 Loss_G: 0.001146 Loss_D_real: -0.010984 Loss_D_fake 0.008889
[1595/5000][30/535][164587] Loss_D: -0.019669 Loss_G: -0.004091 Loss_D_real: -0.016631 Loss_D_fake 0.003038
[1595/5000][35/535][164588] Loss_D: -0.019006 Loss_G: 0.010038 Loss_D_real: -0.017144 Loss_D_fake 0.001862
[1595/5000][40/535][164589] Loss_D: -0.018546 Loss_G: 0.013359 Loss_D_real: -0.011453 Loss_D_fake 0.007093
[1595/5000][45/535][164590] Loss_D: -0.019098 Loss_G: -0.005542 Loss_D_real: -0.011429 Loss_D_fake 0.007669
[1595/5000][50/535][164591] Loss_D: -0.018759 Loss_G: 0.024360 Loss_D_real: -0.022433 Loss_D_fake -0.003674
[1595/5000][55/535][164592] Loss_D: -0.018092 Loss_G: -0.009723 Loss_D_real: -0.009096 Loss_D_fake 0.008996
[1595/5000][60/535][164593] Loss_D: -0.020941 Loss_G: 0.022046 Loss_D_real: -0.021316 Loss_D_fake -0.000375
[1595/5000][65/535][164594] Loss_D: -0.019083 Loss_G: -0.008374 Loss_D_real: -0.013528 Loss_D_fake 0.005555
[1595/5000][70/535][164595] Loss_D: -0.018422 Loss_G: 0.006630 Loss_D_real: -0.017593 Loss_D_fake 0.000829
[1595/5000][75/535][164596] Loss_D: -0.017700 Loss_G: -0.007005 Loss_D_real: -0.016315 Loss_D_fake 0.001385
[1595/5000][80/535][164597] Loss_D: -0.018695 Loss_G: 0.027661 Loss_D_real: -0.032334 Loss_D_fake -0.013639
[1595/5000][85/535][164598] Loss_D: -0.020400 Loss_G: -0.004606 Loss_D_real: -0.011924 Loss_D_fake 0.008476
[1595/5000][90/535][164599] Loss_D: -0.019962 Loss_G: 0.010527 Loss_D_real: -0.014727 Loss_D_fake 0.005235
[1595/5000][95/535][164600] Loss_D: -0.020044 Loss_G: 0.006238 Loss_D_real: -0.008513 Loss_D_fake 0.011531
[1595/5000][100/535][164601] Loss_D: -0.020107 Loss_G: -0.004001 Loss_D_real: -0.018362 Loss_D_fake 0.001745
[1595/5000][105/535][164602] Loss_D: -0.020026 Loss_G: 0.015182 Loss_D_real: -0.013861 Loss_D_fake 0.006165
[1595/5000][110/535][164603] Loss_D: -0.020254 Loss_G: 0.003143 Loss_D_real: -0.003640 Loss_D_fake 0.016614
[1595/5000][115/535][164604] Loss_D: -0.020540 Loss_G: 0.017646 Loss_D_real: -0.034357 Loss_D_fake -0.013817
[1595/5000][120/535][164605] Loss_D: -0.018365 Loss_G: 0.015571 Loss_D_real: -0.019739 Loss_D_fake -0.001374
[1595/5000][125/535][164606] Loss_D: -0.019386 Loss_G: 0.015285 Loss_D_real: -0.020151 Loss_D_fake -0.000765
[1595/5000][130/535][164607] Loss_D: -0.019790 Loss_G: 0.002574 Loss_D_real: -0.009384 Loss_D_fake 0.010405
[1595/5000][135/535][164608] Loss_D: -0.018855 Loss_G: -0.006084 Loss_D_real: -0.008454 Loss_D_fake 0.010401
[1595/5000][140/535][164609] Loss_D: -0.019116 Loss_G: 0.006935 Loss_D_real: -0.016571 Loss_D_fake 0.002545
[1595/5000][145/535][164610] Loss_D: -0.019423 Loss_G: 0.012796 Loss_D_real: -0.020805 Loss_D_fake -0.001382
[1595/5000][150/535][164611] Loss_D: -0.019882 Loss_G: 0.008402 Loss_D_real: -0.018989 Loss_D_fake 0.000893
[1595/5000][155/535][164612] Loss_D: -0.018247 Loss_G: 0.024719 Loss_D_real: -0.022101 Loss_D_fake -0.003855
[1595/5000][160/535][164613] Loss_D: -0.017835 Loss_G: 0.019654 Loss_D_real: -0.013852 Loss_D_fake 0.003982
[1595/5000][165/535][164614] Loss_D: -0.019092 Loss_G: 0.015027 Loss_D_real: -0.011694 Loss_D_fake 0.007398
[1595/5000][170/535][164615] Loss_D: -0.017807 Loss_G: -0.010128 Loss_D_real: 0.001973 Loss_D_fake 0.019780
[1595/5000][175/535][164616] Loss_D: -0.019414 Loss_G: 0.001466 Loss_D_real: -0.028496 Loss_D_fake -0.009082
[1595/5000][180/535][164617] Loss_D: -0.018218 Loss_G: -0.003425 Loss_D_real: -0.006256 Loss_D_fake 0.011962
[1595/5000][185/535][164618] Loss_D: -0.018561 Loss_G: 0.007281 Loss_D_real: -0.021088 Loss_D_fake -0.002527
[1595/5000][190/535][164619] Loss_D: -0.019723 Loss_G: -0.000617 Loss_D_real: -0.027602 Loss_D_fake -0.007879
[1595/5000][195/535][164620] Loss_D: -0.019356 Loss_G: 0.024739 Loss_D_real: -0.015890 Loss_D_fake 0.003466
[1595/5000][200/535][164621] Loss_D: -0.019670 Loss_G: -0.000623 Loss_D_real: -0.008350 Loss_D_fake 0.011319
[1595/5000][205/535][164622] Loss_D: -0.018606 Loss_G: 0.001233 Loss_D_real: -0.028402 Loss_D_fake -0.009796
[1595/5000][210/535][164623] Loss_D: -0.017295 Loss_G: -0.006396 Loss_D_real: -0.004568 Loss_D_fake 0.012728
[1595/5000][215/535][164624] Loss_D: -0.019899 Loss_G: 0.017103 Loss_D_real: -0.013723 Loss_D_fake 0.006175
[1595/5000][220/535][164625] Loss_D: -0.019443 Loss_G: 0.007145 Loss_D_real: -0.002832 Loss_D_fake 0.016611
[1595/5000][225/535][164626] Loss_D: -0.018446 Loss_G: 0.011785 Loss_D_real: -0.025300 Loss_D_fake -0.006854
[1595/5000][230/535][164627] Loss_D: -0.019365 Loss_G: 0.001770 Loss_D_real: -0.020799 Loss_D_fake -0.001435
[1595/5000][235/535][164628] Loss_D: -0.018378 Loss_G: -0.003163 Loss_D_real: 0.000534 Loss_D_fake 0.018912
[1595/5000][240/535][164629] Loss_D: -0.020736 Loss_G: 0.003468 Loss_D_real: -0.011861 Loss_D_fake 0.008875
[1595/5000][245/535][164630] Loss_D: -0.020245 Loss_G: 0.007060 Loss_D_real: -0.007902 Loss_D_fake 0.012343
[1595/5000][250/535][164631] Loss_D: -0.019135 Loss_G: 0.011985 Loss_D_real: -0.021651 Loss_D_fake -0.002516
[1595/5000][255/535][164632] Loss_D: -0.021008 Loss_G: 0.020128 Loss_D_real: -0.020016 Loss_D_fake 0.000992
[1595/5000][260/535][164633] Loss_D: -0.018938 Loss_G: -0.016216 Loss_D_real: 0.002331 Loss_D_fake 0.021269
[1595/5000][265/535][164634] Loss_D: -0.019892 Loss_G: 0.002784 Loss_D_real: 0.000046 Loss_D_fake 0.019938
[1595/5000][270/535][164635] Loss_D: -0.021536 Loss_G: 0.015557 Loss_D_real: -0.013659 Loss_D_fake 0.007877
[1595/5000][275/535][164636] Loss_D: -0.019578 Loss_G: -0.017037 Loss_D_real: 0.001012 Loss_D_fake 0.020590
[1595/5000][280/535][164637] Loss_D: -0.020408 Loss_G: 0.003627 Loss_D_real: -0.017958 Loss_D_fake 0.002450
[1595/5000][285/535][164638] Loss_D: -0.019804 Loss_G: 0.002730 Loss_D_real: -0.011822 Loss_D_fake 0.007982
[1595/5000][290/535][164639] Loss_D: -0.019628 Loss_G: -0.004081 Loss_D_real: -0.006927 Loss_D_fake 0.012701
[1595/5000][295/535][164640] Loss_D: -0.019792 Loss_G: 0.004631 Loss_D_real: -0.008021 Loss_D_fake 0.011772
[1595/5000][300/535][164641] Loss_D: -0.018297 Loss_G: -0.025750 Loss_D_real: -0.000588 Loss_D_fake 0.017710
[1595/5000][305/535][164642] Loss_D: -0.016694 Loss_G: 0.029052 Loss_D_real: -0.031720 Loss_D_fake -0.015026
[1595/5000][310/535][164643] Loss_D: -0.018656 Loss_G: 0.007868 Loss_D_real: -0.013538 Loss_D_fake 0.005118
[1595/5000][315/535][164644] Loss_D: -0.017847 Loss_G: 0.005175 Loss_D_real: -0.020955 Loss_D_fake -0.003108
[1595/5000][320/535][164645] Loss_D: -0.020320 Loss_G: 0.012741 Loss_D_real: -0.017986 Loss_D_fake 0.002334
[1595/5000][325/535][164646] Loss_D: -0.019084 Loss_G: 0.003594 Loss_D_real: -0.007715 Loss_D_fake 0.011369
[1595/5000][330/535][164647] Loss_D: -0.017380 Loss_G: 0.012991 Loss_D_real: -0.021991 Loss_D_fake -0.004610
[1595/5000][335/535][164648] Loss_D: -0.019454 Loss_G: 0.002875 Loss_D_real: -0.014320 Loss_D_fake 0.005134
[1595/5000][340/535][164649] Loss_D: -0.019219 Loss_G: -0.004014 Loss_D_real: -0.011088 Loss_D_fake 0.008131
[1595/5000][345/535][164650] Loss_D: -0.018209 Loss_G: 0.012658 Loss_D_real: -0.010845 Loss_D_fake 0.007364
[1595/5000][350/535][164651] Loss_D: -0.018847 Loss_G: -0.007720 Loss_D_real: -0.012566 Loss_D_fake 0.006281
[1595/5000][355/535][164652] Loss_D: -0.018757 Loss_G: 0.019855 Loss_D_real: -0.016902 Loss_D_fake 0.001855
[1595/5000][360/535][164653] Loss_D: -0.017833 Loss_G: 0.015223 Loss_D_real: -0.019520 Loss_D_fake -0.001688
[1595/5000][365/535][164654] Loss_D: -0.018651 Loss_G: -0.022769 Loss_D_real: -0.026677 Loss_D_fake -0.008026
[1595/5000][370/535][164655] Loss_D: -0.018982 Loss_G: 0.009856 Loss_D_real: -0.013923 Loss_D_fake 0.005060
[1595/5000][375/535][164656] Loss_D: -0.018339 Loss_G: -0.005771 Loss_D_real: -0.014417 Loss_D_fake 0.003922
[1595/5000][380/535][164657] Loss_D: -0.018518 Loss_G: -0.009462 Loss_D_real: -0.006045 Loss_D_fake 0.012473
[1595/5000][385/535][164658] Loss_D: -0.018813 Loss_G: 0.015462 Loss_D_real: -0.028105 Loss_D_fake -0.009292
[1595/5000][390/535][164659] Loss_D: -0.018538 Loss_G: -0.010609 Loss_D_real: -0.010106 Loss_D_fake 0.008432
[1595/5000][395/535][164660] Loss_D: -0.017616 Loss_G: 0.032957 Loss_D_real: -0.027423 Loss_D_fake -0.009807
[1595/5000][400/535][164661] Loss_D: -0.019407 Loss_G: 0.012230 Loss_D_real: -0.017708 Loss_D_fake 0.001698
[1595/5000][405/535][164662] Loss_D: -0.020478 Loss_G: 0.011660 Loss_D_real: -0.018869 Loss_D_fake 0.001609
[1595/5000][410/535][164663] Loss_D: -0.019789 Loss_G: 0.003663 Loss_D_real: -0.015441 Loss_D_fake 0.004348
[1595/5000][415/535][164664] Loss_D: -0.019706 Loss_G: 0.003759 Loss_D_real: -0.026707 Loss_D_fake -0.007001
[1595/5000][420/535][164665] Loss_D: -0.019146 Loss_G: 0.023719 Loss_D_real: -0.027592 Loss_D_fake -0.008445
[1595/5000][425/535][164666] Loss_D: -0.019455 Loss_G: 0.013256 Loss_D_real: -0.018878 Loss_D_fake 0.000577
[1595/5000][430/535][164667] Loss_D: -0.019930 Loss_G: -0.007694 Loss_D_real: -0.035099 Loss_D_fake -0.015169
[1595/5000][435/535][164668] Loss_D: -0.020682 Loss_G: 0.008439 Loss_D_real: 0.000049 Loss_D_fake 0.020731
[1595/5000][440/535][164669] Loss_D: -0.019455 Loss_G: -0.005728 Loss_D_real: -0.007008 Loss_D_fake 0.012447
[1595/5000][445/535][164670] Loss_D: -0.018723 Loss_G: 0.011045 Loss_D_real: -0.023608 Loss_D_fake -0.004885
[1595/5000][450/535][164671] Loss_D: -0.020813 Loss_G: 0.005348 Loss_D_real: -0.013711 Loss_D_fake 0.007102
[1595/5000][455/535][164672] Loss_D: -0.020244 Loss_G: -0.006496 Loss_D_real: -0.019225 Loss_D_fake 0.001019
[1595/5000][460/535][164673] Loss_D: -0.019565 Loss_G: 0.019943 Loss_D_real: -0.012093 Loss_D_fake 0.007472
[1595/5000][465/535][164674] Loss_D: -0.019183 Loss_G: -0.008927 Loss_D_real: -0.013893 Loss_D_fake 0.005291
[1595/5000][470/535][164675] Loss_D: -0.020039 Loss_G: 0.020904 Loss_D_real: -0.014887 Loss_D_fake 0.005152
[1595/5000][475/535][164676] Loss_D: -0.019031 Loss_G: 0.010697 Loss_D_real: -0.024797 Loss_D_fake -0.005766
[1595/5000][480/535][164677] Loss_D: -0.019540 Loss_G: 0.005276 Loss_D_real: -0.016256 Loss_D_fake 0.003284
[1595/5000][485/535][164678] Loss_D: -0.018659 Loss_G: 0.005856 Loss_D_real: -0.014763 Loss_D_fake 0.003896
[1595/5000][490/535][164679] Loss_D: -0.020243 Loss_G: 0.010942 Loss_D_real: -0.022588 Loss_D_fake -0.002345
[1595/5000][495/535][164680] Loss_D: -0.018080 Loss_G: 0.016370 Loss_D_real: -0.022848 Loss_D_fake -0.004768
[1595/5000][500/535][164681] Loss_D: -0.018923 Loss_G: 0.002257 Loss_D_real: -0.012692 Loss_D_fake 0.006231
[1595/5000][505/535][164682] Loss_D: -0.018937 Loss_G: 0.001714 Loss_D_real: -0.021481 Loss_D_fake -0.002544
[1595/5000][510/535][164683] Loss_D: -0.018863 Loss_G: 0.001253 Loss_D_real: -0.016251 Loss_D_fake 0.002612
[1595/5000][515/535][164684] Loss_D: -0.018380 Loss_G: 0.025866 Loss_D_real: -0.037496 Loss_D_fake -0.019116
[1595/5000][520/535][164685] Loss_D: -0.018909 Loss_G: -0.005605 Loss_D_real: -0.002761 Loss_D_fake 0.016148
[1595/5000][525/535][164686] Loss_D: -0.017889 Loss_G: 0.006082 Loss_D_real: -0.015280 Loss_D_fake 0.002609
[1595/5000][530/535][164687] Loss_D: -0.018326 Loss_G: 0.027234 Loss_D_real: -0.019368 Loss_D_fake -0.001043
[1595/5000][535/535][164688] Loss_D: -0.021354 Loss_G: 0.001024 Loss_D_real: -0.002781 Loss_D_fake 0.018573
[1596/5000][5/535][164689] Loss_D: -0.020397 Loss_G: 0.015320 Loss_D_real: -0.021393 Loss_D_fake -0.000996
[1596/5000][10/535][164690] Loss_D: -0.017539 Loss_G: 0.021503 Loss_D_real: -0.019436 Loss_D_fake -0.001897
[1596/5000][15/535][164691] Loss_D: -0.019022 Loss_G: -0.002019 Loss_D_real: -0.022251 Loss_D_fake -0.003228
[1596/5000][20/535][164692] Loss_D: -0.019411 Loss_G: 0.001816 Loss_D_real: -0.021855 Loss_D_fake -0.002444
[1596/5000][25/535][164693] Loss_D: -0.020356 Loss_G: 0.016008 Loss_D_real: -0.019010 Loss_D_fake 0.001346
[1596/5000][30/535][164694] Loss_D: -0.018911 Loss_G: 0.032941 Loss_D_real: -0.028213 Loss_D_fake -0.009302
[1596/5000][35/535][164695] Loss_D: -0.018953 Loss_G: 0.008010 Loss_D_real: -0.015744 Loss_D_fake 0.003209
[1596/5000][40/535][164696] Loss_D: -0.018928 Loss_G: 0.008395 Loss_D_real: -0.015523 Loss_D_fake 0.003405
[1596/5000][45/535][164697] Loss_D: -0.019364 Loss_G: 0.012469 Loss_D_real: -0.020440 Loss_D_fake -0.001075
[1596/5000][50/535][164698] Loss_D: -0.020584 Loss_G: 0.020573 Loss_D_real: -0.012363 Loss_D_fake 0.008221
[1596/5000][55/535][164699] Loss_D: -0.020589 Loss_G: -0.006168 Loss_D_real: -0.009018 Loss_D_fake 0.011571
[1596/5000][60/535][164700] Loss_D: -0.020756 Loss_G: 0.011524 Loss_D_real: -0.018430 Loss_D_fake 0.002325
[1596/5000][65/535][164701] Loss_D: -0.018986 Loss_G: 0.011240 Loss_D_real: -0.033392 Loss_D_fake -0.014407
[1596/5000][70/535][164702] Loss_D: -0.020188 Loss_G: -0.018979 Loss_D_real: -0.010319 Loss_D_fake 0.009869
[1596/5000][75/535][164703] Loss_D: -0.019771 Loss_G: 0.000777 Loss_D_real: -0.011844 Loss_D_fake 0.007927
[1596/5000][80/535][164704] Loss_D: -0.020313 Loss_G: 0.008142 Loss_D_real: -0.012505 Loss_D_fake 0.007809
[1596/5000][85/535][164705] Loss_D: -0.020021 Loss_G: 0.013103 Loss_D_real: -0.026047 Loss_D_fake -0.006026
[1596/5000][90/535][164706] Loss_D: -0.019883 Loss_G: -0.010990 Loss_D_real: -0.005461 Loss_D_fake 0.014422
[1596/5000][95/535][164707] Loss_D: -0.019749 Loss_G: 0.001221 Loss_D_real: -0.028895 Loss_D_fake -0.009146
[1596/5000][100/535][164708] Loss_D: -0.020658 Loss_G: 0.021594 Loss_D_real: -0.023142 Loss_D_fake -0.002485
[1596/5000][105/535][164709] Loss_D: -0.020438 Loss_G: 0.013069 Loss_D_real: -0.012039 Loss_D_fake 0.008399
[1596/5000][110/535][164710] Loss_D: -0.019900 Loss_G: 0.003878 Loss_D_real: -0.029222 Loss_D_fake -0.009323
[1596/5000][115/535][164711] Loss_D: -0.019890 Loss_G: 0.021791 Loss_D_real: -0.020513 Loss_D_fake -0.000623
[1596/5000][120/535][164712] Loss_D: -0.020791 Loss_G: -0.006186 Loss_D_real: -0.009676 Loss_D_fake 0.011115
[1596/5000][125/535][164713] Loss_D: -0.019743 Loss_G: -0.012578 Loss_D_real: -0.000605 Loss_D_fake 0.019138
[1596/5000][130/535][164714] Loss_D: -0.019427 Loss_G: 0.017667 Loss_D_real: -0.026845 Loss_D_fake -0.007418
[1596/5000][135/535][164715] Loss_D: -0.020362 Loss_G: 0.017153 Loss_D_real: -0.017653 Loss_D_fake 0.002709
[1596/5000][140/535][164716] Loss_D: -0.019620 Loss_G: -0.001909 Loss_D_real: -0.010791 Loss_D_fake 0.008829
[1596/5000][145/535][164717] Loss_D: -0.019541 Loss_G: 0.007168 Loss_D_real: -0.023392 Loss_D_fake -0.003851
[1596/5000][150/535][164718] Loss_D: -0.019322 Loss_G: 0.001290 Loss_D_real: -0.012043 Loss_D_fake 0.007280
[1596/5000][155/535][164719] Loss_D: -0.019300 Loss_G: 0.019445 Loss_D_real: -0.015782 Loss_D_fake 0.003518
[1596/5000][160/535][164720] Loss_D: -0.019300 Loss_G: -0.005895 Loss_D_real: -0.013182 Loss_D_fake 0.006118
[1596/5000][165/535][164721] Loss_D: -0.019579 Loss_G: 0.013111 Loss_D_real: -0.023193 Loss_D_fake -0.003614
[1596/5000][170/535][164722] Loss_D: -0.019167 Loss_G: 0.012995 Loss_D_real: -0.023031 Loss_D_fake -0.003864
[1596/5000][175/535][164723] Loss_D: -0.019090 Loss_G: 0.002268 Loss_D_real: -0.015213 Loss_D_fake 0.003877
[1596/5000][180/535][164724] Loss_D: -0.019666 Loss_G: -0.000367 Loss_D_real: -0.015240 Loss_D_fake 0.004426
[1596/5000][185/535][164725] Loss_D: -0.018159 Loss_G: 0.012120 Loss_D_real: -0.027646 Loss_D_fake -0.009487
[1596/5000][190/535][164726] Loss_D: -0.018138 Loss_G: 0.002114 Loss_D_real: -0.011847 Loss_D_fake 0.006291
[1596/5000][195/535][164727] Loss_D: -0.019660 Loss_G: -0.007757 Loss_D_real: -0.006461 Loss_D_fake 0.013199
[1596/5000][200/535][164728] Loss_D: -0.018029 Loss_G: 0.012545 Loss_D_real: -0.010792 Loss_D_fake 0.007236
[1596/5000][205/535][164729] Loss_D: -0.019392 Loss_G: 0.009481 Loss_D_real: -0.010481 Loss_D_fake 0.008911
[1596/5000][210/535][164730] Loss_D: -0.019280 Loss_G: 0.012458 Loss_D_real: -0.018813 Loss_D_fake 0.000467
[1596/5000][215/535][164731] Loss_D: -0.019138 Loss_G: -0.001626 Loss_D_real: -0.013591 Loss_D_fake 0.005548
[1596/5000][220/535][164732] Loss_D: -0.019195 Loss_G: 0.014168 Loss_D_real: -0.009480 Loss_D_fake 0.009715
[1596/5000][225/535][164733] Loss_D: -0.018957 Loss_G: 0.006937 Loss_D_real: -0.007866 Loss_D_fake 0.011091
[1596/5000][230/535][164734] Loss_D: -0.018727 Loss_G: 0.012790 Loss_D_real: -0.017183 Loss_D_fake 0.001544
[1596/5000][235/535][164735] Loss_D: -0.018793 Loss_G: 0.014676 Loss_D_real: -0.021477 Loss_D_fake -0.002685
[1596/5000][240/535][164736] Loss_D: -0.019171 Loss_G: 0.012547 Loss_D_real: -0.024605 Loss_D_fake -0.005434
[1596/5000][245/535][164737] Loss_D: -0.019893 Loss_G: -0.002855 Loss_D_real: -0.011115 Loss_D_fake 0.008778
[1596/5000][250/535][164738] Loss_D: -0.018458 Loss_G: 0.002593 Loss_D_real: -0.014223 Loss_D_fake 0.004235
[1596/5000][255/535][164739] Loss_D: -0.019740 Loss_G: 0.002528 Loss_D_real: -0.013461 Loss_D_fake 0.006278
[1596/5000][260/535][164740] Loss_D: -0.018453 Loss_G: -0.011735 Loss_D_real: -0.002831 Loss_D_fake 0.015622
[1596/5000][265/535][164741] Loss_D: -0.019104 Loss_G: 0.013919 Loss_D_real: -0.019486 Loss_D_fake -0.000381
[1596/5000][270/535][164742] Loss_D: -0.018772 Loss_G: 0.026215 Loss_D_real: -0.023386 Loss_D_fake -0.004614
[1596/5000][275/535][164743] Loss_D: -0.020628 Loss_G: 0.010864 Loss_D_real: -0.002229 Loss_D_fake 0.018399
[1596/5000][280/535][164744] Loss_D: -0.019090 Loss_G: 0.000052 Loss_D_real: -0.026415 Loss_D_fake -0.007325
[1596/5000][285/535][164745] Loss_D: -0.019176 Loss_G: -0.013034 Loss_D_real: 0.004120 Loss_D_fake 0.023296
[1596/5000][290/535][164746] Loss_D: -0.020600 Loss_G: -0.000707 Loss_D_real: -0.012533 Loss_D_fake 0.008067
[1596/5000][295/535][164747] Loss_D: -0.020555 Loss_G: 0.021002 Loss_D_real: -0.017949 Loss_D_fake 0.002606
[1596/5000][300/535][164748] Loss_D: -0.021255 Loss_G: -0.000897 Loss_D_real: -0.017128 Loss_D_fake 0.004127
[1596/5000][305/535][164749] Loss_D: -0.018489 Loss_G: 0.012661 Loss_D_real: -0.019203 Loss_D_fake -0.000715
[1596/5000][310/535][164750] Loss_D: -0.017273 Loss_G: 0.035960 Loss_D_real: -0.026721 Loss_D_fake -0.009448
[1596/5000][315/535][164751] Loss_D: -0.018968 Loss_G: -0.003585 Loss_D_real: -0.010672 Loss_D_fake 0.008296
[1596/5000][320/535][164752] Loss_D: -0.019016 Loss_G: -0.001210 Loss_D_real: 0.001731 Loss_D_fake 0.020748
[1596/5000][325/535][164753] Loss_D: -0.019212 Loss_G: 0.008821 Loss_D_real: -0.030855 Loss_D_fake -0.011643
[1596/5000][330/535][164754] Loss_D: -0.019249 Loss_G: 0.014441 Loss_D_real: -0.016276 Loss_D_fake 0.002973
[1596/5000][335/535][164755] Loss_D: -0.019635 Loss_G: 0.008900 Loss_D_real: -0.021509 Loss_D_fake -0.001875
[1596/5000][340/535][164756] Loss_D: -0.019447 Loss_G: 0.001178 Loss_D_real: -0.029296 Loss_D_fake -0.009849
[1596/5000][345/535][164757] Loss_D: -0.018110 Loss_G: 0.018519 Loss_D_real: -0.028739 Loss_D_fake -0.010628
[1596/5000][350/535][164758] Loss_D: -0.019621 Loss_G: 0.011653 Loss_D_real: -0.022008 Loss_D_fake -0.002387
[1596/5000][355/535][164759] Loss_D: -0.020151 Loss_G: 0.010306 Loss_D_real: -0.010337 Loss_D_fake 0.009814
[1596/5000][360/535][164760] Loss_D: -0.019839 Loss_G: 0.000975 Loss_D_real: -0.003597 Loss_D_fake 0.016242
[1596/5000][365/535][164761] Loss_D: -0.018826 Loss_G: 0.002661 Loss_D_real: -0.028102 Loss_D_fake -0.009277
[1596/5000][370/535][164762] Loss_D: -0.018735 Loss_G: 0.019547 Loss_D_real: -0.021548 Loss_D_fake -0.002813
[1596/5000][375/535][164763] Loss_D: -0.018854 Loss_G: 0.013589 Loss_D_real: -0.014603 Loss_D_fake 0.004251
[1596/5000][380/535][164764] Loss_D: -0.018800 Loss_G: -0.014169 Loss_D_real: 0.006090 Loss_D_fake 0.024890
[1596/5000][385/535][164765] Loss_D: -0.019048 Loss_G: 0.023629 Loss_D_real: -0.036215 Loss_D_fake -0.017167
[1596/5000][390/535][164766] Loss_D: -0.018375 Loss_G: 0.027975 Loss_D_real: -0.031298 Loss_D_fake -0.012923
[1596/5000][395/535][164767] Loss_D: -0.018339 Loss_G: 0.020960 Loss_D_real: -0.021091 Loss_D_fake -0.002752
[1596/5000][400/535][164768] Loss_D: -0.019514 Loss_G: 0.008767 Loss_D_real: -0.030925 Loss_D_fake -0.011411
[1596/5000][405/535][164769] Loss_D: -0.019348 Loss_G: -0.000895 Loss_D_real: -0.013337 Loss_D_fake 0.006012
[1596/5000][410/535][164770] Loss_D: -0.016471 Loss_G: -0.021575 Loss_D_real: 0.006925 Loss_D_fake 0.023396
[1596/5000][415/535][164771] Loss_D: -0.018898 Loss_G: -0.008689 Loss_D_real: -0.015448 Loss_D_fake 0.003450
[1596/5000][420/535][164772] Loss_D: -0.019072 Loss_G: 0.026644 Loss_D_real: -0.024714 Loss_D_fake -0.005642
[1596/5000][425/535][164773] Loss_D: -0.018103 Loss_G: 0.011281 Loss_D_real: -0.019588 Loss_D_fake -0.001484
[1596/5000][430/535][164774] Loss_D: -0.018671 Loss_G: 0.005841 Loss_D_real: -0.012691 Loss_D_fake 0.005980
[1596/5000][435/535][164775] Loss_D: -0.018890 Loss_G: 0.009519 Loss_D_real: -0.013887 Loss_D_fake 0.005003
[1596/5000][440/535][164776] Loss_D: -0.019851 Loss_G: 0.014311 Loss_D_real: -0.020943 Loss_D_fake -0.001091
[1596/5000][445/535][164777] Loss_D: -0.018418 Loss_G: 0.019765 Loss_D_real: -0.017835 Loss_D_fake 0.000583
[1596/5000][450/535][164778] Loss_D: -0.020395 Loss_G: 0.019872 Loss_D_real: -0.028926 Loss_D_fake -0.008531
[1596/5000][455/535][164779] Loss_D: -0.019414 Loss_G: -0.006620 Loss_D_real: -0.011464 Loss_D_fake 0.007950
[1596/5000][460/535][164780] Loss_D: -0.020236 Loss_G: -0.006557 Loss_D_real: -0.008642 Loss_D_fake 0.011595
[1596/5000][465/535][164781] Loss_D: -0.021380 Loss_G: 0.028501 Loss_D_real: -0.021654 Loss_D_fake -0.000274
[1596/5000][470/535][164782] Loss_D: -0.019217 Loss_G: -0.009019 Loss_D_real: -0.003668 Loss_D_fake 0.015549
[1596/5000][475/535][164783] Loss_D: -0.019119 Loss_G: 0.015049 Loss_D_real: -0.020683 Loss_D_fake -0.001564
[1596/5000][480/535][164784] Loss_D: -0.019250 Loss_G: 0.018378 Loss_D_real: -0.018637 Loss_D_fake 0.000614
[1596/5000][485/535][164785] Loss_D: -0.019154 Loss_G: -0.008973 Loss_D_real: -0.010182 Loss_D_fake 0.008972
[1596/5000][490/535][164786] Loss_D: -0.018112 Loss_G: 0.035019 Loss_D_real: -0.033808 Loss_D_fake -0.015696
[1596/5000][495/535][164787] Loss_D: -0.019525 Loss_G: 0.006683 Loss_D_real: -0.017592 Loss_D_fake 0.001932
[1596/5000][500/535][164788] Loss_D: -0.018971 Loss_G: 0.009544 Loss_D_real: -0.021846 Loss_D_fake -0.002875
[1596/5000][505/535][164789] Loss_D: -0.020386 Loss_G: 0.000703 Loss_D_real: -0.011551 Loss_D_fake 0.008835
[1596/5000][510/535][164790] Loss_D: -0.018177 Loss_G: -0.008665 Loss_D_real: 0.000552 Loss_D_fake 0.018729
[1596/5000][515/535][164791] Loss_D: -0.018029 Loss_G: 0.010780 Loss_D_real: -0.024905 Loss_D_fake -0.006876
[1596/5000][520/535][164792] Loss_D: -0.016164 Loss_G: 0.026398 Loss_D_real: -0.040686 Loss_D_fake -0.024522
[1596/5000][525/535][164793] Loss_D: -0.020155 Loss_G: 0.008425 Loss_D_real: -0.030217 Loss_D_fake -0.010062
[1596/5000][530/535][164794] Loss_D: -0.019249 Loss_G: 0.009840 Loss_D_real: -0.022180 Loss_D_fake -0.002931
[1596/5000][535/535][164795] Loss_D: -0.020389 Loss_G: 0.014067 Loss_D_real: -0.020341 Loss_D_fake 0.000049
[1597/5000][5/535][164796] Loss_D: -0.018980 Loss_G: 0.006444 Loss_D_real: -0.014686 Loss_D_fake 0.004294
[1597/5000][10/535][164797] Loss_D: -0.019730 Loss_G: -0.000304 Loss_D_real: -0.014291 Loss_D_fake 0.005439
[1597/5000][15/535][164798] Loss_D: -0.019667 Loss_G: 0.014501 Loss_D_real: -0.016374 Loss_D_fake 0.003293
[1597/5000][20/535][164799] Loss_D: -0.020277 Loss_G: 0.002011 Loss_D_real: -0.021630 Loss_D_fake -0.001353
[1597/5000][25/535][164800] Loss_D: -0.020951 Loss_G: -0.000618 Loss_D_real: -0.013902 Loss_D_fake 0.007050
[1597/5000][30/535][164801] Loss_D: -0.018750 Loss_G: 0.018760 Loss_D_real: -0.009341 Loss_D_fake 0.009409
[1597/5000][35/535][164802] Loss_D: -0.020409 Loss_G: 0.006214 Loss_D_real: -0.009582 Loss_D_fake 0.010827
[1597/5000][40/535][164803] Loss_D: -0.018624 Loss_G: 0.010053 Loss_D_real: -0.017218 Loss_D_fake 0.001406
[1597/5000][45/535][164804] Loss_D: -0.019062 Loss_G: 0.004315 Loss_D_real: -0.006023 Loss_D_fake 0.013038
[1597/5000][50/535][164805] Loss_D: -0.017960 Loss_G: 0.008423 Loss_D_real: -0.015098 Loss_D_fake 0.002862
[1597/5000][55/535][164806] Loss_D: -0.019372 Loss_G: 0.002967 Loss_D_real: -0.015846 Loss_D_fake 0.003525
[1597/5000][60/535][164807] Loss_D: -0.019850 Loss_G: 0.009118 Loss_D_real: -0.010607 Loss_D_fake 0.009243
[1597/5000][65/535][164808] Loss_D: -0.019964 Loss_G: 0.015635 Loss_D_real: -0.023379 Loss_D_fake -0.003415
[1597/5000][70/535][164809] Loss_D: -0.018891 Loss_G: -0.011801 Loss_D_real: 0.003910 Loss_D_fake 0.022802
[1597/5000][75/535][164810] Loss_D: -0.019485 Loss_G: 0.011333 Loss_D_real: -0.022188 Loss_D_fake -0.002703
[1597/5000][80/535][164811] Loss_D: -0.020206 Loss_G: -0.000867 Loss_D_real: -0.003823 Loss_D_fake 0.016383
[1597/5000][85/535][164812] Loss_D: -0.017882 Loss_G: 0.018593 Loss_D_real: -0.027676 Loss_D_fake -0.009794
[1597/5000][90/535][164813] Loss_D: -0.018168 Loss_G: 0.028379 Loss_D_real: -0.035503 Loss_D_fake -0.017334
[1597/5000][95/535][164814] Loss_D: -0.019034 Loss_G: 0.014745 Loss_D_real: -0.024493 Loss_D_fake -0.005459
[1597/5000][100/535][164815] Loss_D: -0.019837 Loss_G: 0.024016 Loss_D_real: -0.021940 Loss_D_fake -0.002103
[1597/5000][105/535][164816] Loss_D: -0.019305 Loss_G: 0.016695 Loss_D_real: -0.026204 Loss_D_fake -0.006899
[1597/5000][110/535][164817] Loss_D: -0.020519 Loss_G: -0.006429 Loss_D_real: -0.023700 Loss_D_fake -0.003181
[1597/5000][115/535][164818] Loss_D: -0.019888 Loss_G: 0.000197 Loss_D_real: -0.009019 Loss_D_fake 0.010869
[1597/5000][120/535][164819] Loss_D: -0.020354 Loss_G: 0.004449 Loss_D_real: -0.035568 Loss_D_fake -0.015214
[1597/5000][125/535][164820] Loss_D: -0.019587 Loss_G: 0.017462 Loss_D_real: -0.020858 Loss_D_fake -0.001271
[1597/5000][130/535][164821] Loss_D: -0.019050 Loss_G: 0.005814 Loss_D_real: -0.028305 Loss_D_fake -0.009255
[1597/5000][135/535][164822] Loss_D: -0.018849 Loss_G: -0.005416 Loss_D_real: 0.004863 Loss_D_fake 0.023711
[1597/5000][140/535][164823] Loss_D: -0.017086 Loss_G: 0.023368 Loss_D_real: -0.029160 Loss_D_fake -0.012074
[1597/5000][145/535][164824] Loss_D: -0.019024 Loss_G: -0.004519 Loss_D_real: -0.000775 Loss_D_fake 0.018249
[1597/5000][150/535][164825] Loss_D: -0.020081 Loss_G: -0.000881 Loss_D_real: -0.001312 Loss_D_fake 0.018769
[1597/5000][155/535][164826] Loss_D: -0.019763 Loss_G: 0.000457 Loss_D_real: -0.017193 Loss_D_fake 0.002570
[1597/5000][160/535][164827] Loss_D: -0.020509 Loss_G: 0.004170 Loss_D_real: -0.017486 Loss_D_fake 0.003023
[1597/5000][165/535][164828] Loss_D: -0.017613 Loss_G: -0.016028 Loss_D_real: 0.001272 Loss_D_fake 0.018885
[1597/5000][170/535][164829] Loss_D: -0.019443 Loss_G: 0.004058 Loss_D_real: -0.007987 Loss_D_fake 0.011456
[1597/5000][175/535][164830] Loss_D: -0.018611 Loss_G: -0.004137 Loss_D_real: -0.001943 Loss_D_fake 0.016668
[1597/5000][180/535][164831] Loss_D: -0.019424 Loss_G: 0.004845 Loss_D_real: -0.013617 Loss_D_fake 0.005806
[1597/5000][185/535][164832] Loss_D: -0.019325 Loss_G: 0.005198 Loss_D_real: -0.020918 Loss_D_fake -0.001593
[1597/5000][190/535][164833] Loss_D: -0.019466 Loss_G: 0.017050 Loss_D_real: -0.003138 Loss_D_fake 0.016328
[1597/5000][195/535][164834] Loss_D: -0.018613 Loss_G: 0.020193 Loss_D_real: -0.016172 Loss_D_fake 0.002441
[1597/5000][200/535][164835] Loss_D: -0.019845 Loss_G: -0.002270 Loss_D_real: -0.020091 Loss_D_fake -0.000245
[1597/5000][205/535][164836] Loss_D: -0.017833 Loss_G: 0.000817 Loss_D_real: -0.006600 Loss_D_fake 0.011234
[1597/5000][210/535][164837] Loss_D: -0.018662 Loss_G: -0.001444 Loss_D_real: -0.008701 Loss_D_fake 0.009960
[1597/5000][215/535][164838] Loss_D: -0.019369 Loss_G: 0.000377 Loss_D_real: -0.016053 Loss_D_fake 0.003315
[1597/5000][220/535][164839] Loss_D: -0.019183 Loss_G: 0.012196 Loss_D_real: -0.018182 Loss_D_fake 0.001001
[1597/5000][225/535][164840] Loss_D: -0.017170 Loss_G: 0.021593 Loss_D_real: -0.024506 Loss_D_fake -0.007337
[1597/5000][230/535][164841] Loss_D: -0.019976 Loss_G: 0.003954 Loss_D_real: -0.021747 Loss_D_fake -0.001771
[1597/5000][235/535][164842] Loss_D: -0.016594 Loss_G: 0.005274 Loss_D_real: -0.014427 Loss_D_fake 0.002167
[1597/5000][240/535][164843] Loss_D: -0.018539 Loss_G: 0.016125 Loss_D_real: -0.023326 Loss_D_fake -0.004787
[1597/5000][245/535][164844] Loss_D: -0.018972 Loss_G: 0.003941 Loss_D_real: -0.020058 Loss_D_fake -0.001086
[1597/5000][250/535][164845] Loss_D: -0.019109 Loss_G: -0.001828 Loss_D_real: -0.012072 Loss_D_fake 0.007037
[1597/5000][255/535][164846] Loss_D: -0.018449 Loss_G: -0.000139 Loss_D_real: -0.021482 Loss_D_fake -0.003033
[1597/5000][260/535][164847] Loss_D: -0.019555 Loss_G: -0.011399 Loss_D_real: -0.001535 Loss_D_fake 0.018020
[1597/5000][265/535][164848] Loss_D: -0.018773 Loss_G: 0.008351 Loss_D_real: -0.028028 Loss_D_fake -0.009255
[1597/5000][270/535][164849] Loss_D: -0.020778 Loss_G: 0.005889 Loss_D_real: -0.010078 Loss_D_fake 0.010700
[1597/5000][275/535][164850] Loss_D: -0.019405 Loss_G: 0.000197 Loss_D_real: 0.004370 Loss_D_fake 0.023776
[1597/5000][280/535][164851] Loss_D: -0.018693 Loss_G: 0.001596 Loss_D_real: -0.006724 Loss_D_fake 0.011969
[1597/5000][285/535][164852] Loss_D: -0.017684 Loss_G: 0.027755 Loss_D_real: -0.027662 Loss_D_fake -0.009978
[1597/5000][290/535][164853] Loss_D: -0.019111 Loss_G: -0.003681 Loss_D_real: -0.018347 Loss_D_fake 0.000763
[1597/5000][295/535][164854] Loss_D: -0.019899 Loss_G: 0.007486 Loss_D_real: -0.020637 Loss_D_fake -0.000738
[1597/5000][300/535][164855] Loss_D: -0.018845 Loss_G: 0.005711 Loss_D_real: -0.020392 Loss_D_fake -0.001547
[1597/5000][305/535][164856] Loss_D: -0.020407 Loss_G: 0.026919 Loss_D_real: -0.021647 Loss_D_fake -0.001241
[1597/5000][310/535][164857] Loss_D: -0.019440 Loss_G: 0.009850 Loss_D_real: -0.024090 Loss_D_fake -0.004650
[1597/5000][315/535][164858] Loss_D: -0.019823 Loss_G: 0.010842 Loss_D_real: -0.012812 Loss_D_fake 0.007012
[1597/5000][320/535][164859] Loss_D: -0.019776 Loss_G: 0.018668 Loss_D_real: -0.018937 Loss_D_fake 0.000839
[1597/5000][325/535][164860] Loss_D: -0.018003 Loss_G: 0.017414 Loss_D_real: -0.041824 Loss_D_fake -0.023821
[1597/5000][330/535][164861] Loss_D: -0.021646 Loss_G: 0.004665 Loss_D_real: -0.013270 Loss_D_fake 0.008376
[1597/5000][335/535][164862] Loss_D: -0.019810 Loss_G: -0.007821 Loss_D_real: -0.016400 Loss_D_fake 0.003410
[1597/5000][340/535][164863] Loss_D: -0.018322 Loss_G: -0.006222 Loss_D_real: -0.003466 Loss_D_fake 0.014856
[1597/5000][345/535][164864] Loss_D: -0.020779 Loss_G: 0.005119 Loss_D_real: -0.013109 Loss_D_fake 0.007670
[1597/5000][350/535][164865] Loss_D: -0.019043 Loss_G: 0.004466 Loss_D_real: -0.011115 Loss_D_fake 0.007927
[1597/5000][355/535][164866] Loss_D: -0.019696 Loss_G: 0.003752 Loss_D_real: -0.002875 Loss_D_fake 0.016821
[1597/5000][360/535][164867] Loss_D: -0.019693 Loss_G: 0.013083 Loss_D_real: -0.020496 Loss_D_fake -0.000803
[1597/5000][365/535][164868] Loss_D: -0.018699 Loss_G: 0.005746 Loss_D_real: -0.007624 Loss_D_fake 0.011074
[1597/5000][370/535][164869] Loss_D: -0.019405 Loss_G: 0.002065 Loss_D_real: -0.005610 Loss_D_fake 0.013795
[1597/5000][375/535][164870] Loss_D: -0.019716 Loss_G: -0.010840 Loss_D_real: -0.012662 Loss_D_fake 0.007054
[1597/5000][380/535][164871] Loss_D: -0.019675 Loss_G: 0.012422 Loss_D_real: -0.031624 Loss_D_fake -0.011950
[1597/5000][385/535][164872] Loss_D: -0.020358 Loss_G: 0.008309 Loss_D_real: -0.005156 Loss_D_fake 0.015203
[1597/5000][390/535][164873] Loss_D: -0.018476 Loss_G: 0.028738 Loss_D_real: -0.032902 Loss_D_fake -0.014426
[1597/5000][395/535][164874] Loss_D: -0.018658 Loss_G: 0.007696 Loss_D_real: -0.020074 Loss_D_fake -0.001416
[1597/5000][400/535][164875] Loss_D: -0.018093 Loss_G: 0.010059 Loss_D_real: -0.015961 Loss_D_fake 0.002132
[1597/5000][405/535][164876] Loss_D: -0.018086 Loss_G: 0.008488 Loss_D_real: -0.010957 Loss_D_fake 0.007129
[1597/5000][410/535][164877] Loss_D: -0.017924 Loss_G: 0.011053 Loss_D_real: -0.023702 Loss_D_fake -0.005778
[1597/5000][415/535][164878] Loss_D: -0.017479 Loss_G: 0.015483 Loss_D_real: -0.023430 Loss_D_fake -0.005950
[1597/5000][420/535][164879] Loss_D: -0.018545 Loss_G: -0.003050 Loss_D_real: 0.002633 Loss_D_fake 0.021178
[1597/5000][425/535][164880] Loss_D: -0.018225 Loss_G: 0.000349 Loss_D_real: -0.002792 Loss_D_fake 0.015433
[1597/5000][430/535][164881] Loss_D: -0.018948 Loss_G: 0.010419 Loss_D_real: -0.011963 Loss_D_fake 0.006985
[1597/5000][435/535][164882] Loss_D: -0.018734 Loss_G: 0.016042 Loss_D_real: -0.016092 Loss_D_fake 0.002643
[1597/5000][440/535][164883] Loss_D: -0.019807 Loss_G: -0.005375 Loss_D_real: -0.003286 Loss_D_fake 0.016521
[1597/5000][445/535][164884] Loss_D: -0.016747 Loss_G: 0.014700 Loss_D_real: -0.017010 Loss_D_fake -0.000262
[1597/5000][450/535][164885] Loss_D: -0.019427 Loss_G: 0.001535 Loss_D_real: -0.023147 Loss_D_fake -0.003720
[1597/5000][455/535][164886] Loss_D: -0.020062 Loss_G: 0.012970 Loss_D_real: -0.019127 Loss_D_fake 0.000936
[1597/5000][460/535][164887] Loss_D: -0.018930 Loss_G: -0.002069 Loss_D_real: -0.016450 Loss_D_fake 0.002480
[1597/5000][465/535][164888] Loss_D: -0.019255 Loss_G: -0.010486 Loss_D_real: 0.000442 Loss_D_fake 0.019697
[1597/5000][470/535][164889] Loss_D: -0.018696 Loss_G: 0.021656 Loss_D_real: -0.029921 Loss_D_fake -0.011225
[1597/5000][475/535][164890] Loss_D: -0.018296 Loss_G: 0.011548 Loss_D_real: -0.013301 Loss_D_fake 0.004995
[1597/5000][480/535][164891] Loss_D: -0.019892 Loss_G: 0.003935 Loss_D_real: -0.016232 Loss_D_fake 0.003660
[1597/5000][485/535][164892] Loss_D: -0.019193 Loss_G: -0.000058 Loss_D_real: -0.004552 Loss_D_fake 0.014641
[1597/5000][490/535][164893] Loss_D: -0.020462 Loss_G: 0.001382 Loss_D_real: -0.008260 Loss_D_fake 0.012202
[1597/5000][495/535][164894] Loss_D: -0.019884 Loss_G: -0.007621 Loss_D_real: -0.011180 Loss_D_fake 0.008704
[1597/5000][500/535][164895] Loss_D: -0.017295 Loss_G: -0.004328 Loss_D_real: -0.023395 Loss_D_fake -0.006100
[1597/5000][505/535][164896] Loss_D: -0.019355 Loss_G: -0.014525 Loss_D_real: -0.006353 Loss_D_fake 0.013001
[1597/5000][510/535][164897] Loss_D: -0.019780 Loss_G: 0.002287 Loss_D_real: -0.003000 Loss_D_fake 0.016780
[1597/5000][515/535][164898] Loss_D: -0.019274 Loss_G: 0.018002 Loss_D_real: -0.031001 Loss_D_fake -0.011726
[1597/5000][520/535][164899] Loss_D: -0.019249 Loss_G: -0.000412 Loss_D_real: -0.009846 Loss_D_fake 0.009403
[1597/5000][525/535][164900] Loss_D: -0.019506 Loss_G: 0.024516 Loss_D_real: -0.020900 Loss_D_fake -0.001394
[1597/5000][530/535][164901] Loss_D: -0.019102 Loss_G: 0.023757 Loss_D_real: -0.030071 Loss_D_fake -0.010969
[1597/5000][535/535][164902] Loss_D: -0.019138 Loss_G: -0.006842 Loss_D_real: -0.019208 Loss_D_fake -0.000070
[1598/5000][5/535][164903] Loss_D: -0.019393 Loss_G: -0.006452 Loss_D_real: -0.001870 Loss_D_fake 0.017523
[1598/5000][10/535][164904] Loss_D: -0.019144 Loss_G: 0.011852 Loss_D_real: -0.016067 Loss_D_fake 0.003077
[1598/5000][15/535][164905] Loss_D: -0.020290 Loss_G: 0.011869 Loss_D_real: -0.014873 Loss_D_fake 0.005417
[1598/5000][20/535][164906] Loss_D: -0.020338 Loss_G: -0.001571 Loss_D_real: -0.015376 Loss_D_fake 0.004962
[1598/5000][25/535][164907] Loss_D: -0.019049 Loss_G: 0.002001 Loss_D_real: -0.004397 Loss_D_fake 0.014653
[1598/5000][30/535][164908] Loss_D: -0.019402 Loss_G: 0.002812 Loss_D_real: -0.013597 Loss_D_fake 0.005806
[1598/5000][35/535][164909] Loss_D: -0.019543 Loss_G: -0.000893 Loss_D_real: -0.018737 Loss_D_fake 0.000806
[1598/5000][40/535][164910] Loss_D: -0.019186 Loss_G: 0.019385 Loss_D_real: -0.032933 Loss_D_fake -0.013747
[1598/5000][45/535][164911] Loss_D: -0.019093 Loss_G: 0.006918 Loss_D_real: -0.022439 Loss_D_fake -0.003346
[1598/5000][50/535][164912] Loss_D: -0.019522 Loss_G: -0.014093 Loss_D_real: -0.013532 Loss_D_fake 0.005989
[1598/5000][55/535][164913] Loss_D: -0.019432 Loss_G: 0.029184 Loss_D_real: -0.016291 Loss_D_fake 0.003141
[1598/5000][60/535][164914] Loss_D: -0.020790 Loss_G: 0.004654 Loss_D_real: -0.014234 Loss_D_fake 0.006556
[1598/5000][65/535][164915] Loss_D: -0.019160 Loss_G: 0.009032 Loss_D_real: -0.017887 Loss_D_fake 0.001273
[1598/5000][70/535][164916] Loss_D: -0.018988 Loss_G: -0.006491 Loss_D_real: 0.004079 Loss_D_fake 0.023067
[1598/5000][75/535][164917] Loss_D: -0.018558 Loss_G: 0.015639 Loss_D_real: -0.014388 Loss_D_fake 0.004170
[1598/5000][80/535][164918] Loss_D: -0.019870 Loss_G: -0.008717 Loss_D_real: 0.000258 Loss_D_fake 0.020128
[1598/5000][85/535][164919] Loss_D: -0.018243 Loss_G: 0.013961 Loss_D_real: -0.027162 Loss_D_fake -0.008919
[1598/5000][90/535][164920] Loss_D: -0.019905 Loss_G: -0.003208 Loss_D_real: -0.002457 Loss_D_fake 0.017448
[1598/5000][95/535][164921] Loss_D: -0.020178 Loss_G: 0.020634 Loss_D_real: -0.017670 Loss_D_fake 0.002508
[1598/5000][100/535][164922] Loss_D: -0.020935 Loss_G: 0.007805 Loss_D_real: -0.018890 Loss_D_fake 0.002044
[1598/5000][105/535][164923] Loss_D: -0.018750 Loss_G: 0.031399 Loss_D_real: -0.031151 Loss_D_fake -0.012400
[1598/5000][110/535][164924] Loss_D: -0.019232 Loss_G: -0.003567 Loss_D_real: -0.015421 Loss_D_fake 0.003811
[1598/5000][115/535][164925] Loss_D: -0.018640 Loss_G: 0.009096 Loss_D_real: -0.019112 Loss_D_fake -0.000472
[1598/5000][120/535][164926] Loss_D: -0.018605 Loss_G: 0.005590 Loss_D_real: -0.011174 Loss_D_fake 0.007432
[1598/5000][125/535][164927] Loss_D: -0.018835 Loss_G: 0.011606 Loss_D_real: -0.007040 Loss_D_fake 0.011795
[1598/5000][130/535][164928] Loss_D: -0.019123 Loss_G: 0.002483 Loss_D_real: -0.004661 Loss_D_fake 0.014462
[1598/5000][135/535][164929] Loss_D: -0.017544 Loss_G: 0.023532 Loss_D_real: -0.022737 Loss_D_fake -0.005193
[1598/5000][140/535][164930] Loss_D: -0.019150 Loss_G: -0.010289 Loss_D_real: 0.001289 Loss_D_fake 0.020439
[1598/5000][145/535][164931] Loss_D: -0.018611 Loss_G: 0.015114 Loss_D_real: -0.028360 Loss_D_fake -0.009750
[1598/5000][150/535][164932] Loss_D: -0.019034 Loss_G: 0.012030 Loss_D_real: -0.021168 Loss_D_fake -0.002134
[1598/5000][155/535][164933] Loss_D: -0.019308 Loss_G: 0.004514 Loss_D_real: -0.010650 Loss_D_fake 0.008658
[1598/5000][160/535][164934] Loss_D: -0.018968 Loss_G: 0.025631 Loss_D_real: -0.015390 Loss_D_fake 0.003578
[1598/5000][165/535][164935] Loss_D: -0.019872 Loss_G: -0.009027 Loss_D_real: -0.010273 Loss_D_fake 0.009598
[1598/5000][170/535][164936] Loss_D: -0.018133 Loss_G: 0.012476 Loss_D_real: -0.018517 Loss_D_fake -0.000384
[1598/5000][175/535][164937] Loss_D: -0.018278 Loss_G: -0.001124 Loss_D_real: -0.017502 Loss_D_fake 0.000776
[1598/5000][180/535][164938] Loss_D: -0.017084 Loss_G: 0.027850 Loss_D_real: -0.035596 Loss_D_fake -0.018512
[1598/5000][185/535][164939] Loss_D: -0.019096 Loss_G: 0.011044 Loss_D_real: -0.020871 Loss_D_fake -0.001775
[1598/5000][190/535][164940] Loss_D: -0.019448 Loss_G: -0.000173 Loss_D_real: -0.028795 Loss_D_fake -0.009347
[1598/5000][195/535][164941] Loss_D: -0.019513 Loss_G: -0.003060 Loss_D_real: -0.007736 Loss_D_fake 0.011777
[1598/5000][200/535][164942] Loss_D: -0.017291 Loss_G: 0.013522 Loss_D_real: -0.017857 Loss_D_fake -0.000567
[1598/5000][205/535][164943] Loss_D: -0.020179 Loss_G: 0.014051 Loss_D_real: -0.008945 Loss_D_fake 0.011234
[1598/5000][210/535][164944] Loss_D: -0.019381 Loss_G: 0.003081 Loss_D_real: -0.022629 Loss_D_fake -0.003248
[1598/5000][215/535][164945] Loss_D: -0.019020 Loss_G: 0.009074 Loss_D_real: -0.017995 Loss_D_fake 0.001025
[1598/5000][220/535][164946] Loss_D: -0.019573 Loss_G: 0.015978 Loss_D_real: -0.013458 Loss_D_fake 0.006115
[1598/5000][225/535][164947] Loss_D: -0.018222 Loss_G: -0.000905 Loss_D_real: -0.014748 Loss_D_fake 0.003474
[1598/5000][230/535][164948] Loss_D: -0.018424 Loss_G: 0.012799 Loss_D_real: -0.032816 Loss_D_fake -0.014391
[1598/5000][235/535][164949] Loss_D: -0.019990 Loss_G: -0.010998 Loss_D_real: -0.022648 Loss_D_fake -0.002658
[1598/5000][240/535][164950] Loss_D: -0.019042 Loss_G: 0.010652 Loss_D_real: -0.002053 Loss_D_fake 0.016989
[1598/5000][245/535][164951] Loss_D: -0.018113 Loss_G: 0.009526 Loss_D_real: -0.022057 Loss_D_fake -0.003944
[1598/5000][250/535][164952] Loss_D: -0.020117 Loss_G: -0.001931 Loss_D_real: -0.018698 Loss_D_fake 0.001419
[1598/5000][255/535][164953] Loss_D: -0.018965 Loss_G: 0.001301 Loss_D_real: -0.020675 Loss_D_fake -0.001710
[1598/5000][260/535][164954] Loss_D: -0.019153 Loss_G: -0.007275 Loss_D_real: -0.015524 Loss_D_fake 0.003628
[1598/5000][265/535][164955] Loss_D: -0.017943 Loss_G: 0.020355 Loss_D_real: -0.025344 Loss_D_fake -0.007402
[1598/5000][270/535][164956] Loss_D: -0.019584 Loss_G: 0.012399 Loss_D_real: -0.007649 Loss_D_fake 0.011935
[1598/5000][275/535][164957] Loss_D: -0.018637 Loss_G: -0.003785 Loss_D_real: -0.005264 Loss_D_fake 0.013373
[1598/5000][280/535][164958] Loss_D: -0.018635 Loss_G: -0.006182 Loss_D_real: -0.002672 Loss_D_fake 0.015963
[1598/5000][285/535][164959] Loss_D: -0.018214 Loss_G: 0.003004 Loss_D_real: -0.021496 Loss_D_fake -0.003282
[1598/5000][290/535][164960] Loss_D: -0.018738 Loss_G: 0.021847 Loss_D_real: -0.019372 Loss_D_fake -0.000634
[1598/5000][295/535][164961] Loss_D: -0.017960 Loss_G: -0.012692 Loss_D_real: -0.011732 Loss_D_fake 0.006228
[1598/5000][300/535][164962] Loss_D: -0.018982 Loss_G: 0.009433 Loss_D_real: -0.019356 Loss_D_fake -0.000374
[1598/5000][305/535][164963] Loss_D: -0.018012 Loss_G: 0.007488 Loss_D_real: -0.019703 Loss_D_fake -0.001691
[1598/5000][310/535][164964] Loss_D: -0.018126 Loss_G: -0.018899 Loss_D_real: 0.004071 Loss_D_fake 0.022198
[1598/5000][315/535][164965] Loss_D: -0.020079 Loss_G: 0.017908 Loss_D_real: -0.018951 Loss_D_fake 0.001128
[1598/5000][320/535][164966] Loss_D: -0.020185 Loss_G: 0.010931 Loss_D_real: -0.002574 Loss_D_fake 0.017611
[1598/5000][325/535][164967] Loss_D: -0.018859 Loss_G: 0.013643 Loss_D_real: -0.018281 Loss_D_fake 0.000578
[1598/5000][330/535][164968] Loss_D: -0.018500 Loss_G: 0.002479 Loss_D_real: -0.014730 Loss_D_fake 0.003770
[1598/5000][335/535][164969] Loss_D: -0.019136 Loss_G: 0.020540 Loss_D_real: -0.003851 Loss_D_fake 0.015286
[1598/5000][340/535][164970] Loss_D: -0.018853 Loss_G: 0.012993 Loss_D_real: -0.029619 Loss_D_fake -0.010765
[1598/5000][345/535][164971] Loss_D: -0.020031 Loss_G: 0.005323 Loss_D_real: -0.018737 Loss_D_fake 0.001293
[1598/5000][350/535][164972] Loss_D: -0.020304 Loss_G: -0.004307 Loss_D_real: -0.009570 Loss_D_fake 0.010734
[1598/5000][355/535][164973] Loss_D: -0.018200 Loss_G: 0.018946 Loss_D_real: -0.025647 Loss_D_fake -0.007447
[1598/5000][360/535][164974] Loss_D: -0.019877 Loss_G: -0.003037 Loss_D_real: -0.016019 Loss_D_fake 0.003858
[1598/5000][365/535][164975] Loss_D: -0.019334 Loss_G: 0.025631 Loss_D_real: -0.019962 Loss_D_fake -0.000628
[1598/5000][370/535][164976] Loss_D: -0.020336 Loss_G: 0.019306 Loss_D_real: -0.018295 Loss_D_fake 0.002042
[1598/5000][375/535][164977] Loss_D: -0.018111 Loss_G: 0.015829 Loss_D_real: -0.027660 Loss_D_fake -0.009548
[1598/5000][380/535][164978] Loss_D: -0.019407 Loss_G: -0.006755 Loss_D_real: -0.010058 Loss_D_fake 0.009349
[1598/5000][385/535][164979] Loss_D: -0.019486 Loss_G: 0.006408 Loss_D_real: -0.002662 Loss_D_fake 0.016824
[1598/5000][390/535][164980] Loss_D: -0.021183 Loss_G: 0.005657 Loss_D_real: -0.019604 Loss_D_fake 0.001579
[1598/5000][395/535][164981] Loss_D: -0.020208 Loss_G: -0.008681 Loss_D_real: -0.010965 Loss_D_fake 0.009243
[1598/5000][400/535][164982] Loss_D: -0.019108 Loss_G: -0.016730 Loss_D_real: -0.000455 Loss_D_fake 0.018653
[1598/5000][405/535][164983] Loss_D: -0.017770 Loss_G: 0.016722 Loss_D_real: -0.020787 Loss_D_fake -0.003017
[1598/5000][410/535][164984] Loss_D: -0.019131 Loss_G: -0.007518 Loss_D_real: -0.004991 Loss_D_fake 0.014140
[1598/5000][415/535][164985] Loss_D: -0.018333 Loss_G: 0.011006 Loss_D_real: -0.023640 Loss_D_fake -0.005307
[1598/5000][420/535][164986] Loss_D: -0.018502 Loss_G: 0.006738 Loss_D_real: -0.012213 Loss_D_fake 0.006289
[1598/5000][425/535][164987] Loss_D: -0.019429 Loss_G: 0.024095 Loss_D_real: -0.021115 Loss_D_fake -0.001686
[1598/5000][430/535][164988] Loss_D: -0.019511 Loss_G: 0.016806 Loss_D_real: -0.024731 Loss_D_fake -0.005221
[1598/5000][435/535][164989] Loss_D: -0.019338 Loss_G: 0.002854 Loss_D_real: -0.005783 Loss_D_fake 0.013555
[1598/5000][440/535][164990] Loss_D: -0.018567 Loss_G: 0.000096 Loss_D_real: -0.018290 Loss_D_fake 0.000278
[1598/5000][445/535][164991] Loss_D: -0.018823 Loss_G: 0.023542 Loss_D_real: -0.020386 Loss_D_fake -0.001562
[1598/5000][450/535][164992] Loss_D: -0.018744 Loss_G: 0.011683 Loss_D_real: -0.023586 Loss_D_fake -0.004842
[1598/5000][455/535][164993] Loss_D: -0.016957 Loss_G: 0.027102 Loss_D_real: -0.034697 Loss_D_fake -0.017740
[1598/5000][460/535][164994] Loss_D: -0.019459 Loss_G: -0.003084 Loss_D_real: -0.020204 Loss_D_fake -0.000745
[1598/5000][465/535][164995] Loss_D: -0.018655 Loss_G: 0.025647 Loss_D_real: -0.029546 Loss_D_fake -0.010891
[1598/5000][470/535][164996] Loss_D: -0.020272 Loss_G: -0.000686 Loss_D_real: -0.019023 Loss_D_fake 0.001249
[1598/5000][475/535][164997] Loss_D: -0.018071 Loss_G: 0.005622 Loss_D_real: -0.008454 Loss_D_fake 0.009617
[1598/5000][480/535][164998] Loss_D: -0.019678 Loss_G: 0.001865 Loss_D_real: -0.018708 Loss_D_fake 0.000970
[1598/5000][485/535][164999] Loss_D: -0.019713 Loss_G: -0.003974 Loss_D_real: -0.025506 Loss_D_fake -0.005793
[1598/5000][490/535][165000] Loss_D: -0.019728 Loss_G: 0.006547 Loss_D_real: -0.021089 Loss_D_fake -0.001361
[1598/5000][535/535][165001] Loss_D: -0.016096 Loss_G: -0.041647 Loss_D_real: -0.009954 Loss_D_fake 0.006142
[1599/5000][5/535][165002] Loss_D: -0.018704 Loss_G: 0.009255 Loss_D_real: -0.001699 Loss_D_fake 0.017005
[1599/5000][10/535][165003] Loss_D: -0.016573 Loss_G: 0.016344 Loss_D_real: -0.036161 Loss_D_fake -0.019588
[1599/5000][15/535][165004] Loss_D: -0.019009 Loss_G: -0.013485 Loss_D_real: -0.012566 Loss_D_fake 0.006444
[1599/5000][20/535][165005] Loss_D: -0.019144 Loss_G: 0.009382 Loss_D_real: -0.016994 Loss_D_fake 0.002150
[1599/5000][25/535][165006] Loss_D: -0.019341 Loss_G: 0.003206 Loss_D_real: -0.019855 Loss_D_fake -0.000514
[1599/5000][30/535][165007] Loss_D: -0.017739 Loss_G: 0.005638 Loss_D_real: -0.018390 Loss_D_fake -0.000652
[1599/5000][35/535][165008] Loss_D: -0.020541 Loss_G: 0.002595 Loss_D_real: -0.009880 Loss_D_fake 0.010661
[1599/5000][40/535][165009] Loss_D: -0.018535 Loss_G: -0.000240 Loss_D_real: -0.001676 Loss_D_fake 0.016860
[1599/5000][45/535][165010] Loss_D: -0.018830 Loss_G: 0.000361 Loss_D_real: -0.006463 Loss_D_fake 0.012366
[1599/5000][50/535][165011] Loss_D: -0.018080 Loss_G: -0.016364 Loss_D_real: -0.003883 Loss_D_fake 0.014196
[1599/5000][55/535][165012] Loss_D: -0.019810 Loss_G: 0.026759 Loss_D_real: -0.022754 Loss_D_fake -0.002944
[1599/5000][60/535][165013] Loss_D: -0.018993 Loss_G: 0.014841 Loss_D_real: -0.026831 Loss_D_fake -0.007837
[1599/5000][65/535][165014] Loss_D: -0.019580 Loss_G: 0.006923 Loss_D_real: -0.016581 Loss_D_fake 0.002999
[1599/5000][70/535][165015] Loss_D: -0.016637 Loss_G: 0.021407 Loss_D_real: -0.026654 Loss_D_fake -0.010017
[1599/5000][75/535][165016] Loss_D: -0.019411 Loss_G: 0.018287 Loss_D_real: -0.021789 Loss_D_fake -0.002379
[1599/5000][80/535][165017] Loss_D: -0.020187 Loss_G: 0.005703 Loss_D_real: -0.007939 Loss_D_fake 0.012248
[1599/5000][85/535][165018] Loss_D: -0.017843 Loss_G: 0.031619 Loss_D_real: -0.029085 Loss_D_fake -0.011242
[1599/5000][90/535][165019] Loss_D: -0.020379 Loss_G: 0.011727 Loss_D_real: -0.006816 Loss_D_fake 0.013563
[1599/5000][95/535][165020] Loss_D: -0.019227 Loss_G: 0.000299 Loss_D_real: -0.022726 Loss_D_fake -0.003499
[1599/5000][100/535][165021] Loss_D: -0.017796 Loss_G: 0.025207 Loss_D_real: -0.036760 Loss_D_fake -0.018964
[1599/5000][105/535][165022] Loss_D: -0.017844 Loss_G: 0.019166 Loss_D_real: -0.021684 Loss_D_fake -0.003839
[1599/5000][110/535][165023] Loss_D: -0.019994 Loss_G: -0.020460 Loss_D_real: 0.001124 Loss_D_fake 0.021118
[1599/5000][115/535][165024] Loss_D: -0.019126 Loss_G: -0.007041 Loss_D_real: -0.004060 Loss_D_fake 0.015066
[1599/5000][120/535][165025] Loss_D: -0.019570 Loss_G: 0.010447 Loss_D_real: -0.012816 Loss_D_fake 0.006754
[1599/5000][125/535][165026] Loss_D: -0.019436 Loss_G: 0.019685 Loss_D_real: -0.017310 Loss_D_fake 0.002127
[1599/5000][130/535][165027] Loss_D: -0.020218 Loss_G: 0.003404 Loss_D_real: -0.012775 Loss_D_fake 0.007444
[1599/5000][135/535][165028] Loss_D: -0.019622 Loss_G: -0.002201 Loss_D_real: -0.008640 Loss_D_fake 0.010981
[1599/5000][140/535][165029] Loss_D: -0.019136 Loss_G: -0.008368 Loss_D_real: -0.007345 Loss_D_fake 0.011790
[1599/5000][145/535][165030] Loss_D: -0.019520 Loss_G: 0.000531 Loss_D_real: -0.014641 Loss_D_fake 0.004879
[1599/5000][150/535][165031] Loss_D: -0.019064 Loss_G: 0.003733 Loss_D_real: -0.009872 Loss_D_fake 0.009191
[1599/5000][155/535][165032] Loss_D: -0.019017 Loss_G: 0.004984 Loss_D_real: -0.011913 Loss_D_fake 0.007104
[1599/5000][160/535][165033] Loss_D: -0.019964 Loss_G: 0.016220 Loss_D_real: -0.015508 Loss_D_fake 0.004456
[1599/5000][165/535][165034] Loss_D: -0.018501 Loss_G: 0.008370 Loss_D_real: -0.021645 Loss_D_fake -0.003144
[1599/5000][170/535][165035] Loss_D: -0.018998 Loss_G: 0.008824 Loss_D_real: -0.022231 Loss_D_fake -0.003233
[1599/5000][175/535][165036] Loss_D: -0.017681 Loss_G: 0.029029 Loss_D_real: -0.023129 Loss_D_fake -0.005448
[1599/5000][180/535][165037] Loss_D: -0.017251 Loss_G: -0.019229 Loss_D_real: -0.005546 Loss_D_fake 0.011704
[1599/5000][185/535][165038] Loss_D: -0.019957 Loss_G: 0.000453 Loss_D_real: -0.008333 Loss_D_fake 0.011624
[1599/5000][190/535][165039] Loss_D: -0.020985 Loss_G: 0.011555 Loss_D_real: -0.016237 Loss_D_fake 0.004748
[1599/5000][195/535][165040] Loss_D: -0.019276 Loss_G: -0.010497 Loss_D_real: 0.005696 Loss_D_fake 0.024973
[1599/5000][200/535][165041] Loss_D: -0.018645 Loss_G: 0.004698 Loss_D_real: -0.024374 Loss_D_fake -0.005728
[1599/5000][205/535][165042] Loss_D: -0.020233 Loss_G: -0.010359 Loss_D_real: -0.003957 Loss_D_fake 0.016276
[1599/5000][210/535][165043] Loss_D: -0.019283 Loss_G: 0.020464 Loss_D_real: -0.026262 Loss_D_fake -0.006979
[1599/5000][215/535][165044] Loss_D: -0.019213 Loss_G: 0.013962 Loss_D_real: -0.031384 Loss_D_fake -0.012171
[1599/5000][220/535][165045] Loss_D: -0.019886 Loss_G: -0.005165 Loss_D_real: -0.006040 Loss_D_fake 0.013847
[1599/5000][225/535][165046] Loss_D: -0.018971 Loss_G: 0.020792 Loss_D_real: -0.034366 Loss_D_fake -0.015394
[1599/5000][230/535][165047] Loss_D: -0.019440 Loss_G: 0.021441 Loss_D_real: -0.012686 Loss_D_fake 0.006754
[1599/5000][235/535][165048] Loss_D: -0.020112 Loss_G: 0.002754 Loss_D_real: -0.013767 Loss_D_fake 0.006345
[1599/5000][240/535][165049] Loss_D: -0.020324 Loss_G: -0.001278 Loss_D_real: -0.002076 Loss_D_fake 0.018248
[1599/5000][245/535][165050] Loss_D: -0.019583 Loss_G: -0.000649 Loss_D_real: -0.012693 Loss_D_fake 0.006890
[1599/5000][250/535][165051] Loss_D: -0.019559 Loss_G: 0.005273 Loss_D_real: -0.023557 Loss_D_fake -0.003999
[1599/5000][255/535][165052] Loss_D: -0.020456 Loss_G: 0.011031 Loss_D_real: -0.017730 Loss_D_fake 0.002727
[1599/5000][260/535][165053] Loss_D: -0.020076 Loss_G: -0.009593 Loss_D_real: -0.005545 Loss_D_fake 0.014530
[1599/5000][265/535][165054] Loss_D: -0.017926 Loss_G: 0.016569 Loss_D_real: -0.020639 Loss_D_fake -0.002713
[1599/5000][270/535][165055] Loss_D: -0.018781 Loss_G: 0.021026 Loss_D_real: -0.018496 Loss_D_fake 0.000285
[1599/5000][275/535][165056] Loss_D: -0.018770 Loss_G: -0.017357 Loss_D_real: -0.016027 Loss_D_fake 0.002743
[1599/5000][280/535][165057] Loss_D: -0.019049 Loss_G: 0.000363 Loss_D_real: -0.009292 Loss_D_fake 0.009757
[1599/5000][285/535][165058] Loss_D: -0.018779 Loss_G: 0.016154 Loss_D_real: -0.025323 Loss_D_fake -0.006545
[1599/5000][290/535][165059] Loss_D: -0.018453 Loss_G: 0.021674 Loss_D_real: -0.024739 Loss_D_fake -0.006286
[1599/5000][295/535][165060] Loss_D: -0.018686 Loss_G: 0.007275 Loss_D_real: -0.018640 Loss_D_fake 0.000046
[1599/5000][300/535][165061] Loss_D: -0.019045 Loss_G: 0.014527 Loss_D_real: -0.024868 Loss_D_fake -0.005823
[1599/5000][305/535][165062] Loss_D: -0.018520 Loss_G: -0.000570 Loss_D_real: -0.015974 Loss_D_fake 0.002546
[1599/5000][310/535][165063] Loss_D: -0.018607 Loss_G: -0.010049 Loss_D_real: -0.021539 Loss_D_fake -0.002932
[1599/5000][315/535][165064] Loss_D: -0.019096 Loss_G: -0.001144 Loss_D_real: -0.006031 Loss_D_fake 0.013065
[1599/5000][320/535][165065] Loss_D: -0.020231 Loss_G: 0.008844 Loss_D_real: -0.009718 Loss_D_fake 0.010513
[1599/5000][325/535][165066] Loss_D: -0.018729 Loss_G: 0.000366 Loss_D_real: -0.010578 Loss_D_fake 0.008152
[1599/5000][330/535][165067] Loss_D: -0.019444 Loss_G: 0.019989 Loss_D_real: -0.004013 Loss_D_fake 0.015431
[1599/5000][335/535][165068] Loss_D: -0.019282 Loss_G: 0.017000 Loss_D_real: -0.025176 Loss_D_fake -0.005894
[1599/5000][340/535][165069] Loss_D: -0.019060 Loss_G: -0.025207 Loss_D_real: 0.000949 Loss_D_fake 0.020010
[1599/5000][345/535][165070] Loss_D: -0.019765 Loss_G: 0.020093 Loss_D_real: -0.013104 Loss_D_fake 0.006661
[1599/5000][350/535][165071] Loss_D: -0.018927 Loss_G: 0.002428 Loss_D_real: -0.005668 Loss_D_fake 0.013258
[1599/5000][355/535][165072] Loss_D: -0.019515 Loss_G: -0.007334 Loss_D_real: -0.014387 Loss_D_fake 0.005127
[1599/5000][360/535][165073] Loss_D: -0.019461 Loss_G: 0.001224 Loss_D_real: -0.020622 Loss_D_fake -0.001161
[1599/5000][365/535][165074] Loss_D: -0.019615 Loss_G: 0.013561 Loss_D_real: -0.024973 Loss_D_fake -0.005357
[1599/5000][370/535][165075] Loss_D: -0.019239 Loss_G: 0.010442 Loss_D_real: -0.020524 Loss_D_fake -0.001285
[1599/5000][375/535][165076] Loss_D: -0.019142 Loss_G: 0.010133 Loss_D_real: -0.022708 Loss_D_fake -0.003567
[1599/5000][380/535][165077] Loss_D: -0.019288 Loss_G: 0.015414 Loss_D_real: -0.016115 Loss_D_fake 0.003173
[1599/5000][385/535][165078] Loss_D: -0.019725 Loss_G: 0.003295 Loss_D_real: -0.007668 Loss_D_fake 0.012057
[1599/5000][390/535][165079] Loss_D: -0.018462 Loss_G: 0.023948 Loss_D_real: -0.026515 Loss_D_fake -0.008053
[1599/5000][395/535][165080] Loss_D: -0.019826 Loss_G: 0.017385 Loss_D_real: -0.028708 Loss_D_fake -0.008882
[1599/5000][400/535][165081] Loss_D: -0.021056 Loss_G: -0.006340 Loss_D_real: -0.022352 Loss_D_fake -0.001296
[1599/5000][405/535][165082] Loss_D: -0.018782 Loss_G: 0.000680 Loss_D_real: -0.020228 Loss_D_fake -0.001446
[1599/5000][410/535][165083] Loss_D: -0.020175 Loss_G: 0.030116 Loss_D_real: -0.031975 Loss_D_fake -0.011800
[1599/5000][415/535][165084] Loss_D: -0.018488 Loss_G: 0.018200 Loss_D_real: -0.031157 Loss_D_fake -0.012669
[1599/5000][420/535][165085] Loss_D: -0.019924 Loss_G: 0.005651 Loss_D_real: -0.020504 Loss_D_fake -0.000581
[1599/5000][425/535][165086] Loss_D: -0.018646 Loss_G: 0.020732 Loss_D_real: -0.023745 Loss_D_fake -0.005099
[1599/5000][430/535][165087] Loss_D: -0.018476 Loss_G: 0.015867 Loss_D_real: -0.013733 Loss_D_fake 0.004743
[1599/5000][435/535][165088] Loss_D: -0.018186 Loss_G: 0.017319 Loss_D_real: -0.028290 Loss_D_fake -0.010104
[1599/5000][440/535][165089] Loss_D: -0.019252 Loss_G: -0.007181 Loss_D_real: -0.023384 Loss_D_fake -0.004132
[1599/5000][445/535][165090] Loss_D: -0.018360 Loss_G: 0.017152 Loss_D_real: -0.021648 Loss_D_fake -0.003288
[1599/5000][450/535][165091] Loss_D: -0.018944 Loss_G: -0.001914 Loss_D_real: -0.030555 Loss_D_fake -0.011610
[1599/5000][455/535][165092] Loss_D: -0.019268 Loss_G: 0.005210 Loss_D_real: -0.014679 Loss_D_fake 0.004588
[1599/5000][460/535][165093] Loss_D: -0.018392 Loss_G: -0.004064 Loss_D_real: -0.006032 Loss_D_fake 0.012360
[1599/5000][465/535][165094] Loss_D: -0.018277 Loss_G: 0.014319 Loss_D_real: -0.023920 Loss_D_fake -0.005643
[1599/5000][470/535][165095] Loss_D: -0.018376 Loss_G: -0.015860 Loss_D_real: -0.001853 Loss_D_fake 0.016522
[1599/5000][475/535][165096] Loss_D: -0.016885 Loss_G: 0.020027 Loss_D_real: -0.028938 Loss_D_fake -0.012054
[1599/5000][480/535][165097] Loss_D: -0.018517 Loss_G: 0.014238 Loss_D_real: -0.013417 Loss_D_fake 0.005100
[1599/5000][485/535][165098] Loss_D: -0.019285 Loss_G: 0.004763 Loss_D_real: -0.019259 Loss_D_fake 0.000026
[1599/5000][490/535][165099] Loss_D: -0.018048 Loss_G: 0.023281 Loss_D_real: -0.024077 Loss_D_fake -0.006029
[1599/5000][495/535][165100] Loss_D: -0.021271 Loss_G: 0.020132 Loss_D_real: -0.013388 Loss_D_fake 0.007883
[1599/5000][500/535][165101] Loss_D: -0.019704 Loss_G: -0.005339 Loss_D_real: -0.018180 Loss_D_fake 0.001524
[1599/5000][505/535][165102] Loss_D: -0.018857 Loss_G: 0.002750 Loss_D_real: -0.004051 Loss_D_fake 0.014806
[1599/5000][510/535][165103] Loss_D: -0.018763 Loss_G: 0.011082 Loss_D_real: -0.018546 Loss_D_fake 0.000218
[1599/5000][515/535][165104] Loss_D: -0.019210 Loss_G: 0.002606 Loss_D_real: -0.004339 Loss_D_fake 0.014871
[1599/5000][520/535][165105] Loss_D: -0.018262 Loss_G: 0.010385 Loss_D_real: -0.007024 Loss_D_fake 0.011238
[1599/5000][525/535][165106] Loss_D: -0.019080 Loss_G: -0.002664 Loss_D_real: -0.010531 Loss_D_fake 0.008549
[1599/5000][530/535][165107] Loss_D: -0.017803 Loss_G: 0.009584 Loss_D_real: -0.019476 Loss_D_fake -0.001673
[1599/5000][535/535][165108] Loss_D: -0.020770 Loss_G: 0.044391 Loss_D_real: -0.005596 Loss_D_fake 0.015173
[1600/5000][5/535][165109] Loss_D: -0.018761 Loss_G: 0.001961 Loss_D_real: -0.008652 Loss_D_fake 0.010110
[1600/5000][10/535][165110] Loss_D: -0.019886 Loss_G: -0.002818 Loss_D_real: -0.016022 Loss_D_fake 0.003864
[1600/5000][15/535][165111] Loss_D: -0.018505 Loss_G: -0.005454 Loss_D_real: 0.000699 Loss_D_fake 0.019203
[1600/5000][20/535][165112] Loss_D: -0.016419 Loss_G: 0.020769 Loss_D_real: -0.015734 Loss_D_fake 0.000685
[1600/5000][25/535][165113] Loss_D: -0.019811 Loss_G: 0.000734 Loss_D_real: -0.017798 Loss_D_fake 0.002014
[1600/5000][30/535][165114] Loss_D: -0.020342 Loss_G: 0.012539 Loss_D_real: -0.034073 Loss_D_fake -0.013731
[1600/5000][35/535][165115] Loss_D: -0.021471 Loss_G: 0.005006 Loss_D_real: -0.015278 Loss_D_fake 0.006193
[1600/5000][40/535][165116] Loss_D: -0.019644 Loss_G: -0.005990 Loss_D_real: 0.000561 Loss_D_fake 0.020204
[1600/5000][45/535][165117] Loss_D: -0.020836 Loss_G: -0.002111 Loss_D_real: -0.003862 Loss_D_fake 0.016973
[1600/5000][50/535][165118] Loss_D: -0.020487 Loss_G: 0.016593 Loss_D_real: -0.021604 Loss_D_fake -0.001117
[1600/5000][55/535][165119] Loss_D: -0.020429 Loss_G: 0.028045 Loss_D_real: -0.021871 Loss_D_fake -0.001442
[1600/5000][60/535][165120] Loss_D: -0.020782 Loss_G: -0.009274 Loss_D_real: 0.000291 Loss_D_fake 0.021072
[1600/5000][65/535][165121] Loss_D: -0.018973 Loss_G: -0.001988 Loss_D_real: -0.004815 Loss_D_fake 0.014157
[1600/5000][70/535][165122] Loss_D: -0.020532 Loss_G: 0.014184 Loss_D_real: -0.013404 Loss_D_fake 0.007128
[1600/5000][75/535][165123] Loss_D: -0.020872 Loss_G: 0.007213 Loss_D_real: -0.009301 Loss_D_fake 0.011571
[1600/5000][80/535][165124] Loss_D: -0.018747 Loss_G: -0.008321 Loss_D_real: -0.011389 Loss_D_fake 0.007359
[1600/5000][85/535][165125] Loss_D: -0.019514 Loss_G: 0.022972 Loss_D_real: -0.026904 Loss_D_fake -0.007390
[1600/5000][90/535][165126] Loss_D: -0.020596 Loss_G: -0.006957 Loss_D_real: -0.006845 Loss_D_fake 0.013751
[1600/5000][95/535][165127] Loss_D: -0.018350 Loss_G: -0.007949 Loss_D_real: -0.007841 Loss_D_fake 0.010509
[1600/5000][100/535][165128] Loss_D: -0.017588 Loss_G: 0.019334 Loss_D_real: -0.013530 Loss_D_fake 0.004059
[1600/5000][105/535][165129] Loss_D: -0.019160 Loss_G: 0.002397 Loss_D_real: -0.017092 Loss_D_fake 0.002068
[1600/5000][110/535][165130] Loss_D: -0.019125 Loss_G: 0.011725 Loss_D_real: -0.018629 Loss_D_fake 0.000496
[1600/5000][115/535][165131] Loss_D: -0.017541 Loss_G: 0.021744 Loss_D_real: -0.032716 Loss_D_fake -0.015175
[1600/5000][120/535][165132] Loss_D: -0.019433 Loss_G: -0.013135 Loss_D_real: -0.002748 Loss_D_fake 0.016686
[1600/5000][125/535][165133] Loss_D: -0.018238 Loss_G: 0.001752 Loss_D_real: -0.016901 Loss_D_fake 0.001338
[1600/5000][130/535][165134] Loss_D: -0.019303 Loss_G: -0.007245 Loss_D_real: -0.006241 Loss_D_fake 0.013062
[1600/5000][135/535][165135] Loss_D: -0.017671 Loss_G: -0.012021 Loss_D_real: 0.004705 Loss_D_fake 0.022377
[1600/5000][140/535][165136] Loss_D: -0.017739 Loss_G: -0.002771 Loss_D_real: -0.007467 Loss_D_fake 0.010272
[1600/5000][145/535][165137] Loss_D: -0.020758 Loss_G: 0.008418 Loss_D_real: -0.019662 Loss_D_fake 0.001096
[1600/5000][150/535][165138] Loss_D: -0.019707 Loss_G: -0.015000 Loss_D_real: -0.009366 Loss_D_fake 0.010342
[1600/5000][155/535][165139] Loss_D: -0.018685 Loss_G: 0.012118 Loss_D_real: -0.013853 Loss_D_fake 0.004832
[1600/5000][160/535][165140] Loss_D: -0.018699 Loss_G: -0.001578 Loss_D_real: -0.000869 Loss_D_fake 0.017831
[1600/5000][165/535][165141] Loss_D: -0.018366 Loss_G: 0.020466 Loss_D_real: -0.012649 Loss_D_fake 0.005717
[1600/5000][170/535][165142] Loss_D: -0.017894 Loss_G: -0.018262 Loss_D_real: 0.003147 Loss_D_fake 0.021041
[1600/5000][175/535][165143] Loss_D: -0.019175 Loss_G: 0.010070 Loss_D_real: -0.011978 Loss_D_fake 0.007198
[1600/5000][180/535][165144] Loss_D: -0.018312 Loss_G: 0.005472 Loss_D_real: -0.012056 Loss_D_fake 0.006255
[1600/5000][185/535][165145] Loss_D: -0.020148 Loss_G: 0.008782 Loss_D_real: -0.008222 Loss_D_fake 0.011927
[1600/5000][190/535][165146] Loss_D: -0.019384 Loss_G: -0.001219 Loss_D_real: -0.012901 Loss_D_fake 0.006484
[1600/5000][195/535][165147] Loss_D: -0.019248 Loss_G: 0.003794 Loss_D_real: -0.019307 Loss_D_fake -0.000059
[1600/5000][200/535][165148] Loss_D: -0.019296 Loss_G: 0.006176 Loss_D_real: -0.016757 Loss_D_fake 0.002539
[1600/5000][205/535][165149] Loss_D: -0.019397 Loss_G: -0.003092 Loss_D_real: -0.012570 Loss_D_fake 0.006827
[1600/5000][210/535][165150] Loss_D: -0.019891 Loss_G: 0.001162 Loss_D_real: -0.014527 Loss_D_fake 0.005363
[1600/5000][215/535][165151] Loss_D: -0.018868 Loss_G: 0.002755 Loss_D_real: -0.003365 Loss_D_fake 0.015503
[1600/5000][220/535][165152] Loss_D: -0.019263 Loss_G: -0.015008 Loss_D_real: 0.000635 Loss_D_fake 0.019898
[1600/5000][225/535][165153] Loss_D: -0.019128 Loss_G: 0.004280 Loss_D_real: -0.002690 Loss_D_fake 0.016438
[1600/5000][230/535][165154] Loss_D: -0.019757 Loss_G: 0.013288 Loss_D_real: -0.012689 Loss_D_fake 0.007068
[1600/5000][235/535][165155] Loss_D: -0.019354 Loss_G: -0.009502 Loss_D_real: -0.007888 Loss_D_fake 0.011466
[1600/5000][240/535][165156] Loss_D: -0.018357 Loss_G: 0.002727 Loss_D_real: -0.019125 Loss_D_fake -0.000767
[1600/5000][245/535][165157] Loss_D: -0.019096 Loss_G: -0.001118 Loss_D_real: -0.026860 Loss_D_fake -0.007764
[1600/5000][250/535][165158] Loss_D: -0.017397 Loss_G: 0.029389 Loss_D_real: -0.023767 Loss_D_fake -0.006370
[1600/5000][255/535][165159] Loss_D: -0.020364 Loss_G: 0.027993 Loss_D_real: -0.016171 Loss_D_fake 0.004193
[1600/5000][260/535][165160] Loss_D: -0.020490 Loss_G: 0.009855 Loss_D_real: -0.030117 Loss_D_fake -0.009627
[1600/5000][265/535][165161] Loss_D: -0.020571 Loss_G: 0.004664 Loss_D_real: -0.019941 Loss_D_fake 0.000629
[1600/5000][270/535][165162] Loss_D: -0.020160 Loss_G: 0.003955 Loss_D_real: -0.013814 Loss_D_fake 0.006346
[1600/5000][275/535][165163] Loss_D: -0.019495 Loss_G: 0.011991 Loss_D_real: -0.025159 Loss_D_fake -0.005663
[1600/5000][280/535][165164] Loss_D: -0.018780 Loss_G: 0.007307 Loss_D_real: -0.017816 Loss_D_fake 0.000964
[1600/5000][285/535][165165] Loss_D: -0.021058 Loss_G: 0.005395 Loss_D_real: -0.015672 Loss_D_fake 0.005386
[1600/5000][290/535][165166] Loss_D: -0.021032 Loss_G: -0.006273 Loss_D_real: -0.014653 Loss_D_fake 0.006379
[1600/5000][295/535][165167] Loss_D: -0.019934 Loss_G: 0.033328 Loss_D_real: -0.032448 Loss_D_fake -0.012514
[1600/5000][300/535][165168] Loss_D: -0.019505 Loss_G: -0.001391 Loss_D_real: -0.016418 Loss_D_fake 0.003088
[1600/5000][305/535][165169] Loss_D: -0.018910 Loss_G: 0.024439 Loss_D_real: -0.034762 Loss_D_fake -0.015852
[1600/5000][310/535][165170] Loss_D: -0.020956 Loss_G: -0.013782 Loss_D_real: -0.007177 Loss_D_fake 0.013779
[1600/5000][315/535][165171] Loss_D: -0.019531 Loss_G: -0.004137 Loss_D_real: 0.002925 Loss_D_fake 0.022456
[1600/5000][320/535][165172] Loss_D: -0.018855 Loss_G: 0.013268 Loss_D_real: -0.014142 Loss_D_fake 0.004713
[1600/5000][325/535][165173] Loss_D: -0.019333 Loss_G: 0.005044 Loss_D_real: -0.018910 Loss_D_fake 0.000423
[1600/5000][330/535][165174] Loss_D: -0.019769 Loss_G: 0.002954 Loss_D_real: -0.022358 Loss_D_fake -0.002589
[1600/5000][335/535][165175] Loss_D: -0.019204 Loss_G: 0.014777 Loss_D_real: -0.026002 Loss_D_fake -0.006798
[1600/5000][340/535][165176] Loss_D: -0.019887 Loss_G: 0.010803 Loss_D_real: -0.012342 Loss_D_fake 0.007545
[1600/5000][345/535][165177] Loss_D: -0.018308 Loss_G: 0.010836 Loss_D_real: -0.026621 Loss_D_fake -0.008313
[1600/5000][350/535][165178] Loss_D: -0.019000 Loss_G: 0.013828 Loss_D_real: -0.011631 Loss_D_fake 0.007369
[1600/5000][355/535][165179] Loss_D: -0.020033 Loss_G: 0.006640 Loss_D_real: -0.022412 Loss_D_fake -0.002379
[1600/5000][360/535][165180] Loss_D: -0.020097 Loss_G: -0.007547 Loss_D_real: -0.007295 Loss_D_fake 0.012802
[1600/5000][365/535][165181] Loss_D: -0.019697 Loss_G: 0.003476 Loss_D_real: -0.005712 Loss_D_fake 0.013985
[1600/5000][370/535][165182] Loss_D: -0.019280 Loss_G: -0.000903 Loss_D_real: -0.024223 Loss_D_fake -0.004944
[1600/5000][375/535][165183] Loss_D: -0.017295 Loss_G: 0.026410 Loss_D_real: -0.036476 Loss_D_fake -0.019181
[1600/5000][380/535][165184] Loss_D: -0.019803 Loss_G: 0.007515 Loss_D_real: -0.019431 Loss_D_fake 0.000371
[1600/5000][385/535][165185] Loss_D: -0.018385 Loss_G: 0.021622 Loss_D_real: -0.026143 Loss_D_fake -0.007757
[1600/5000][390/535][165186] Loss_D: -0.019767 Loss_G: 0.018972 Loss_D_real: -0.018933 Loss_D_fake 0.000834
[1600/5000][395/535][165187] Loss_D: -0.019401 Loss_G: 0.005399 Loss_D_real: -0.023445 Loss_D_fake -0.004045
[1600/5000][400/535][165188] Loss_D: -0.018567 Loss_G: 0.022816 Loss_D_real: -0.027563 Loss_D_fake -0.008997
[1600/5000][405/535][165189] Loss_D: -0.019053 Loss_G: -0.000678 Loss_D_real: -0.007870 Loss_D_fake 0.011183
[1600/5000][410/535][165190] Loss_D: -0.019772 Loss_G: 0.007425 Loss_D_real: -0.035396 Loss_D_fake -0.015624
[1600/5000][415/535][165191] Loss_D: -0.019142 Loss_G: -0.005773 Loss_D_real: -0.005160 Loss_D_fake 0.013983
[1600/5000][420/535][165192] Loss_D: -0.018941 Loss_G: -0.001756 Loss_D_real: -0.011937 Loss_D_fake 0.007004
[1600/5000][425/535][165193] Loss_D: -0.017983 Loss_G: 0.016465 Loss_D_real: -0.015503 Loss_D_fake 0.002481
[1600/5000][430/535][165194] Loss_D: -0.019079 Loss_G: 0.004687 Loss_D_real: -0.023917 Loss_D_fake -0.004838
[1600/5000][435/535][165195] Loss_D: -0.020029 Loss_G: 0.015282 Loss_D_real: -0.017189 Loss_D_fake 0.002840
[1600/5000][440/535][165196] Loss_D: -0.018771 Loss_G: -0.003738 Loss_D_real: 0.005238 Loss_D_fake 0.024009
[1600/5000][445/535][165197] Loss_D: -0.019380 Loss_G: 0.013349 Loss_D_real: -0.014336 Loss_D_fake 0.005043
[1600/5000][450/535][165198] Loss_D: -0.019097 Loss_G: 0.012074 Loss_D_real: -0.012772 Loss_D_fake 0.006325
[1600/5000][455/535][165199] Loss_D: -0.019818 Loss_G: 0.003303 Loss_D_real: -0.020693 Loss_D_fake -0.000875
[1600/5000][460/535][165200] Loss_D: -0.018322 Loss_G: 0.007481 Loss_D_real: -0.025090 Loss_D_fake -0.006768
[1600/5000][465/535][165201] Loss_D: -0.020731 Loss_G: 0.008848 Loss_D_real: -0.010760 Loss_D_fake 0.009971
[1600/5000][470/535][165202] Loss_D: -0.019226 Loss_G: 0.003172 Loss_D_real: -0.023546 Loss_D_fake -0.004321
[1600/5000][475/535][165203] Loss_D: -0.019505 Loss_G: 0.007447 Loss_D_real: -0.011829 Loss_D_fake 0.007676
[1600/5000][480/535][165204] Loss_D: -0.017450 Loss_G: -0.007068 Loss_D_real: 0.003403 Loss_D_fake 0.020853
[1600/5000][485/535][165205] Loss_D: -0.016974 Loss_G: 0.026603 Loss_D_real: -0.030905 Loss_D_fake -0.013932
[1600/5000][490/535][165206] Loss_D: -0.019628 Loss_G: 0.005493 Loss_D_real: -0.023599 Loss_D_fake -0.003971
[1600/5000][495/535][165207] Loss_D: -0.018356 Loss_G: 0.024047 Loss_D_real: -0.018574 Loss_D_fake -0.000218
[1600/5000][500/535][165208] Loss_D: -0.018875 Loss_G: -0.001727 Loss_D_real: -0.014912 Loss_D_fake 0.003964
[1600/5000][505/535][165209] Loss_D: -0.018668 Loss_G: 0.026810 Loss_D_real: -0.022525 Loss_D_fake -0.003857
[1600/5000][510/535][165210] Loss_D: -0.018759 Loss_G: -0.013625 Loss_D_real: -0.009847 Loss_D_fake 0.008912
[1600/5000][515/535][165211] Loss_D: -0.018145 Loss_G: -0.008254 Loss_D_real: -0.011058 Loss_D_fake 0.007087
[1600/5000][520/535][165212] Loss_D: -0.019911 Loss_G: 0.007156 Loss_D_real: -0.013941 Loss_D_fake 0.005969
[1600/5000][525/535][165213] Loss_D: -0.018889 Loss_G: 0.020930 Loss_D_real: -0.023293 Loss_D_fake -0.004404
[1600/5000][530/535][165214] Loss_D: -0.020230 Loss_G: -0.009916 Loss_D_real: -0.004764 Loss_D_fake 0.015466
[1600/5000][535/535][165215] Loss_D: -0.019262 Loss_G: -0.003040 Loss_D_real: -0.018556 Loss_D_fake 0.000706
[1601/5000][5/535][165216] Loss_D: -0.020615 Loss_G: 0.004171 Loss_D_real: -0.012291 Loss_D_fake 0.008323
[1601/5000][10/535][165217] Loss_D: -0.020967 Loss_G: -0.006957 Loss_D_real: -0.012781 Loss_D_fake 0.008185
[1601/5000][15/535][165218] Loss_D: -0.021329 Loss_G: 0.020773 Loss_D_real: -0.012266 Loss_D_fake 0.009063
[1601/5000][20/535][165219] Loss_D: -0.019315 Loss_G: 0.000583 Loss_D_real: -0.020631 Loss_D_fake -0.001316
[1601/5000][25/535][165220] Loss_D: -0.020295 Loss_G: 0.010513 Loss_D_real: -0.024037 Loss_D_fake -0.003742
[1601/5000][30/535][165221] Loss_D: -0.020021 Loss_G: 0.006547 Loss_D_real: -0.020005 Loss_D_fake 0.000017
[1601/5000][35/535][165222] Loss_D: -0.019096 Loss_G: 0.017380 Loss_D_real: -0.026300 Loss_D_fake -0.007203
[1601/5000][40/535][165223] Loss_D: -0.019054 Loss_G: -0.012911 Loss_D_real: -0.019137 Loss_D_fake -0.000082
[1601/5000][45/535][165224] Loss_D: -0.018876 Loss_G: 0.006896 Loss_D_real: -0.026208 Loss_D_fake -0.007332
[1601/5000][50/535][165225] Loss_D: -0.019819 Loss_G: 0.006077 Loss_D_real: -0.022907 Loss_D_fake -0.003088
[1601/5000][55/535][165226] Loss_D: -0.020993 Loss_G: -0.001008 Loss_D_real: -0.008752 Loss_D_fake 0.012241
[1601/5000][60/535][165227] Loss_D: -0.017548 Loss_G: -0.013777 Loss_D_real: -0.003164 Loss_D_fake 0.014384
[1601/5000][65/535][165228] Loss_D: -0.018421 Loss_G: 0.004118 Loss_D_real: -0.011417 Loss_D_fake 0.007005
[1601/5000][70/535][165229] Loss_D: -0.022239 Loss_G: 0.015609 Loss_D_real: -0.009500 Loss_D_fake 0.012739
[1601/5000][75/535][165230] Loss_D: -0.018653 Loss_G: 0.000175 Loss_D_real: -0.014599 Loss_D_fake 0.004054
[1601/5000][80/535][165231] Loss_D: -0.019928 Loss_G: -0.004153 Loss_D_real: -0.008355 Loss_D_fake 0.011573
[1601/5000][85/535][165232] Loss_D: -0.019937 Loss_G: 0.025504 Loss_D_real: -0.023791 Loss_D_fake -0.003855
[1601/5000][90/535][165233] Loss_D: -0.019109 Loss_G: 0.007897 Loss_D_real: -0.014710 Loss_D_fake 0.004399
[1601/5000][95/535][165234] Loss_D: -0.019785 Loss_G: 0.020226 Loss_D_real: -0.019483 Loss_D_fake 0.000303
[1601/5000][100/535][165235] Loss_D: -0.018811 Loss_G: -0.002939 Loss_D_real: -0.007415 Loss_D_fake 0.011396
[1601/5000][105/535][165236] Loss_D: -0.017181 Loss_G: 0.024053 Loss_D_real: -0.032782 Loss_D_fake -0.015601
[1601/5000][110/535][165237] Loss_D: -0.018538 Loss_G: 0.006521 Loss_D_real: -0.017713 Loss_D_fake 0.000824
[1601/5000][115/535][165238] Loss_D: -0.019205 Loss_G: -0.011534 Loss_D_real: -0.011788 Loss_D_fake 0.007418
[1601/5000][120/535][165239] Loss_D: -0.019156 Loss_G: 0.022894 Loss_D_real: -0.030821 Loss_D_fake -0.011664
[1601/5000][125/535][165240] Loss_D: -0.019436 Loss_G: -0.008194 Loss_D_real: -0.008224 Loss_D_fake 0.011212
[1601/5000][130/535][165241] Loss_D: -0.019024 Loss_G: 0.021482 Loss_D_real: -0.024020 Loss_D_fake -0.004997
[1601/5000][135/535][165242] Loss_D: -0.019161 Loss_G: 0.022334 Loss_D_real: -0.010636 Loss_D_fake 0.008524
[1601/5000][140/535][165243] Loss_D: -0.019278 Loss_G: 0.017884 Loss_D_real: -0.030355 Loss_D_fake -0.011076
[1601/5000][145/535][165244] Loss_D: -0.017630 Loss_G: -0.002155 Loss_D_real: -0.001389 Loss_D_fake 0.016242
[1601/5000][150/535][165245] Loss_D: -0.019315 Loss_G: 0.002218 Loss_D_real: -0.016806 Loss_D_fake 0.002509
[1601/5000][155/535][165246] Loss_D: -0.018172 Loss_G: -0.000330 Loss_D_real: 0.001396 Loss_D_fake 0.019568
[1601/5000][160/535][165247] Loss_D: -0.018949 Loss_G: -0.000814 Loss_D_real: -0.015785 Loss_D_fake 0.003164
[1601/5000][165/535][165248] Loss_D: -0.019170 Loss_G: 0.011134 Loss_D_real: -0.021698 Loss_D_fake -0.002528
[1601/5000][170/535][165249] Loss_D: -0.020899 Loss_G: 0.021868 Loss_D_real: -0.017544 Loss_D_fake 0.003355
[1601/5000][175/535][165250] Loss_D: -0.019317 Loss_G: -0.011927 Loss_D_real: -0.023314 Loss_D_fake -0.003997
[1601/5000][180/535][165251] Loss_D: -0.017985 Loss_G: -0.009611 Loss_D_real: 0.003554 Loss_D_fake 0.021538
[1601/5000][185/535][165252] Loss_D: -0.019544 Loss_G: -0.009298 Loss_D_real: -0.015093 Loss_D_fake 0.004451
[1601/5000][190/535][165253] Loss_D: -0.019285 Loss_G: 0.014610 Loss_D_real: -0.023716 Loss_D_fake -0.004431
[1601/5000][195/535][165254] Loss_D: -0.020008 Loss_G: 0.016574 Loss_D_real: -0.011773 Loss_D_fake 0.008235
[1601/5000][200/535][165255] Loss_D: -0.019637 Loss_G: -0.001671 Loss_D_real: -0.010779 Loss_D_fake 0.008859
[1601/5000][205/535][165256] Loss_D: -0.019610 Loss_G: 0.003832 Loss_D_real: -0.009538 Loss_D_fake 0.010072
[1601/5000][210/535][165257] Loss_D: -0.019096 Loss_G: 0.006872 Loss_D_real: -0.010941 Loss_D_fake 0.008154
[1601/5000][215/535][165258] Loss_D: -0.018718 Loss_G: 0.014451 Loss_D_real: -0.022196 Loss_D_fake -0.003478
[1601/5000][220/535][165259] Loss_D: -0.020223 Loss_G: 0.006065 Loss_D_real: -0.008438 Loss_D_fake 0.011785
[1601/5000][225/535][165260] Loss_D: -0.019237 Loss_G: 0.007325 Loss_D_real: -0.018577 Loss_D_fake 0.000660
[1601/5000][230/535][165261] Loss_D: -0.019635 Loss_G: 0.001949 Loss_D_real: -0.014006 Loss_D_fake 0.005629
[1601/5000][235/535][165262] Loss_D: -0.019302 Loss_G: 0.021084 Loss_D_real: -0.020294 Loss_D_fake -0.000992
[1601/5000][240/535][165263] Loss_D: -0.019263 Loss_G: 0.009446 Loss_D_real: -0.029200 Loss_D_fake -0.009937
[1601/5000][245/535][165264] Loss_D: -0.019105 Loss_G: 0.001849 Loss_D_real: -0.015927 Loss_D_fake 0.003178
[1601/5000][250/535][165265] Loss_D: -0.018030 Loss_G: 0.018171 Loss_D_real: -0.026353 Loss_D_fake -0.008323
[1601/5000][255/535][165266] Loss_D: -0.017398 Loss_G: 0.023205 Loss_D_real: -0.037506 Loss_D_fake -0.020108
[1601/5000][260/535][165267] Loss_D: -0.018257 Loss_G: 0.023634 Loss_D_real: -0.037502 Loss_D_fake -0.019245
[1601/5000][265/535][165268] Loss_D: -0.018615 Loss_G: 0.017677 Loss_D_real: -0.028183 Loss_D_fake -0.009568
[1601/5000][270/535][165269] Loss_D: -0.019442 Loss_G: 0.028183 Loss_D_real: -0.021466 Loss_D_fake -0.002024
[1601/5000][275/535][165270] Loss_D: -0.019534 Loss_G: 0.007250 Loss_D_real: -0.002641 Loss_D_fake 0.016893
[1601/5000][280/535][165271] Loss_D: -0.019511 Loss_G: 0.005820 Loss_D_real: -0.022228 Loss_D_fake -0.002717
[1601/5000][285/535][165272] Loss_D: -0.018045 Loss_G: 0.028819 Loss_D_real: -0.029432 Loss_D_fake -0.011387
[1601/5000][290/535][165273] Loss_D: -0.019544 Loss_G: 0.006961 Loss_D_real: -0.025318 Loss_D_fake -0.005775
[1601/5000][295/535][165274] Loss_D: -0.019845 Loss_G: 0.000052 Loss_D_real: -0.009010 Loss_D_fake 0.010835
[1601/5000][300/535][165275] Loss_D: -0.019885 Loss_G: 0.000823 Loss_D_real: -0.011823 Loss_D_fake 0.008062
[1601/5000][305/535][165276] Loss_D: -0.020180 Loss_G: 0.000419 Loss_D_real: -0.020362 Loss_D_fake -0.000182
[1601/5000][310/535][165277] Loss_D: -0.019479 Loss_G: 0.010325 Loss_D_real: -0.014493 Loss_D_fake 0.004986
[1601/5000][315/535][165278] Loss_D: -0.021055 Loss_G: 0.008267 Loss_D_real: -0.030473 Loss_D_fake -0.009418
[1601/5000][320/535][165279] Loss_D: -0.020050 Loss_G: 0.010812 Loss_D_real: -0.013320 Loss_D_fake 0.006731
[1601/5000][325/535][165280] Loss_D: -0.020530 Loss_G: 0.007619 Loss_D_real: -0.013908 Loss_D_fake 0.006622
[1601/5000][330/535][165281] Loss_D: -0.017741 Loss_G: -0.014903 Loss_D_real: -0.002382 Loss_D_fake 0.015360
[1601/5000][335/535][165282] Loss_D: -0.018800 Loss_G: 0.021984 Loss_D_real: -0.021662 Loss_D_fake -0.002861
[1601/5000][340/535][165283] Loss_D: -0.020331 Loss_G: 0.025837 Loss_D_real: -0.024116 Loss_D_fake -0.003785
[1601/5000][345/535][165284] Loss_D: -0.018387 Loss_G: 0.021157 Loss_D_real: -0.017552 Loss_D_fake 0.000835
[1601/5000][350/535][165285] Loss_D: -0.019554 Loss_G: 0.004459 Loss_D_real: -0.012523 Loss_D_fake 0.007032
[1601/5000][355/535][165286] Loss_D: -0.017798 Loss_G: 0.033372 Loss_D_real: -0.015038 Loss_D_fake 0.002761
[1601/5000][360/535][165287] Loss_D: -0.018381 Loss_G: -0.004895 Loss_D_real: -0.007202 Loss_D_fake 0.011179
[1601/5000][365/535][165288] Loss_D: -0.019596 Loss_G: 0.007166 Loss_D_real: -0.010368 Loss_D_fake 0.009229
[1601/5000][370/535][165289] Loss_D: -0.019058 Loss_G: -0.003565 Loss_D_real: -0.009583 Loss_D_fake 0.009476
[1601/5000][375/535][165290] Loss_D: -0.019780 Loss_G: 0.007890 Loss_D_real: -0.032077 Loss_D_fake -0.012297
[1601/5000][380/535][165291] Loss_D: -0.020981 Loss_G: 0.019609 Loss_D_real: -0.023958 Loss_D_fake -0.002977
[1601/5000][385/535][165292] Loss_D: -0.017407 Loss_G: 0.013403 Loss_D_real: -0.037988 Loss_D_fake -0.020580
[1601/5000][390/535][165293] Loss_D: -0.019670 Loss_G: -0.014619 Loss_D_real: -0.008706 Loss_D_fake 0.010965
[1601/5000][395/535][165294] Loss_D: -0.019777 Loss_G: 0.020728 Loss_D_real: -0.025302 Loss_D_fake -0.005526
[1601/5000][400/535][165295] Loss_D: -0.019300 Loss_G: 0.006278 Loss_D_real: -0.027241 Loss_D_fake -0.007941
[1601/5000][405/535][165296] Loss_D: -0.019814 Loss_G: -0.009661 Loss_D_real: -0.010580 Loss_D_fake 0.009234
[1601/5000][410/535][165297] Loss_D: -0.019028 Loss_G: -0.017995 Loss_D_real: -0.009024 Loss_D_fake 0.010004
[1601/5000][415/535][165298] Loss_D: -0.019271 Loss_G: 0.005542 Loss_D_real: -0.013002 Loss_D_fake 0.006268
[1601/5000][420/535][165299] Loss_D: -0.018003 Loss_G: 0.015771 Loss_D_real: -0.019904 Loss_D_fake -0.001901
[1601/5000][425/535][165300] Loss_D: -0.019325 Loss_G: -0.002170 Loss_D_real: 0.008924 Loss_D_fake 0.028248
[1601/5000][430/535][165301] Loss_D: -0.018518 Loss_G: 0.010310 Loss_D_real: -0.021400 Loss_D_fake -0.002883
[1601/5000][435/535][165302] Loss_D: -0.017966 Loss_G: 0.003032 Loss_D_real: 0.011217 Loss_D_fake 0.029183
[1601/5000][440/535][165303] Loss_D: -0.018355 Loss_G: -0.002369 Loss_D_real: -0.026597 Loss_D_fake -0.008241
[1601/5000][445/535][165304] Loss_D: -0.019842 Loss_G: 0.014331 Loss_D_real: -0.011390 Loss_D_fake 0.008452
[1601/5000][450/535][165305] Loss_D: -0.018513 Loss_G: 0.009141 Loss_D_real: -0.023718 Loss_D_fake -0.005205
[1601/5000][455/535][165306] Loss_D: -0.018727 Loss_G: -0.007623 Loss_D_real: -0.002753 Loss_D_fake 0.015974
[1601/5000][460/535][165307] Loss_D: -0.017817 Loss_G: 0.001867 Loss_D_real: -0.014741 Loss_D_fake 0.003076
[1601/5000][465/535][165308] Loss_D: -0.020980 Loss_G: 0.009970 Loss_D_real: -0.021021 Loss_D_fake -0.000041
[1601/5000][470/535][165309] Loss_D: -0.020153 Loss_G: -0.007297 Loss_D_real: -0.007346 Loss_D_fake 0.012808
[1601/5000][475/535][165310] Loss_D: -0.019013 Loss_G: 0.021964 Loss_D_real: -0.021065 Loss_D_fake -0.002052
[1601/5000][480/535][165311] Loss_D: -0.020603 Loss_G: 0.012715 Loss_D_real: -0.008239 Loss_D_fake 0.012364
[1601/5000][485/535][165312] Loss_D: -0.020080 Loss_G: 0.010338 Loss_D_real: -0.032029 Loss_D_fake -0.011949
[1601/5000][490/535][165313] Loss_D: -0.018715 Loss_G: 0.006390 Loss_D_real: -0.020924 Loss_D_fake -0.002209
[1601/5000][495/535][165314] Loss_D: -0.018646 Loss_G: 0.011791 Loss_D_real: -0.019759 Loss_D_fake -0.001113
[1601/5000][500/535][165315] Loss_D: -0.019825 Loss_G: 0.019354 Loss_D_real: -0.028155 Loss_D_fake -0.008330
[1601/5000][505/535][165316] Loss_D: -0.019887 Loss_G: 0.000918 Loss_D_real: -0.011980 Loss_D_fake 0.007906
[1601/5000][510/535][165317] Loss_D: -0.018451 Loss_G: 0.005525 Loss_D_real: -0.024266 Loss_D_fake -0.005815
[1601/5000][515/535][165318] Loss_D: -0.019041 Loss_G: 0.008565 Loss_D_real: -0.021649 Loss_D_fake -0.002608
[1601/5000][520/535][165319] Loss_D: -0.019426 Loss_G: 0.006943 Loss_D_real: -0.014918 Loss_D_fake 0.004507
[1601/5000][525/535][165320] Loss_D: -0.018526 Loss_G: 0.007442 Loss_D_real: -0.008200 Loss_D_fake 0.010326
[1601/5000][530/535][165321] Loss_D: -0.019008 Loss_G: 0.011119 Loss_D_real: -0.019092 Loss_D_fake -0.000084
[1601/5000][535/535][165322] Loss_D: -0.015372 Loss_G: 0.008545 Loss_D_real: -0.000725 Loss_D_fake 0.014647
[1602/5000][5/535][165323] Loss_D: -0.017485 Loss_G: 0.022467 Loss_D_real: -0.028085 Loss_D_fake -0.010600
[1602/5000][10/535][165324] Loss_D: -0.018888 Loss_G: 0.012982 Loss_D_real: -0.018925 Loss_D_fake -0.000037
[1602/5000][15/535][165325] Loss_D: -0.019643 Loss_G: -0.004068 Loss_D_real: -0.016658 Loss_D_fake 0.002986
[1602/5000][20/535][165326] Loss_D: -0.017630 Loss_G: -0.005201 Loss_D_real: 0.001540 Loss_D_fake 0.019170
[1602/5000][25/535][165327] Loss_D: -0.018264 Loss_G: 0.017596 Loss_D_real: -0.020947 Loss_D_fake -0.002684
[1602/5000][30/535][165328] Loss_D: -0.018480 Loss_G: 0.016408 Loss_D_real: -0.020247 Loss_D_fake -0.001767
[1602/5000][35/535][165329] Loss_D: -0.019870 Loss_G: 0.016734 Loss_D_real: -0.019713 Loss_D_fake 0.000157
[1602/5000][40/535][165330] Loss_D: -0.019383 Loss_G: 0.015798 Loss_D_real: -0.019640 Loss_D_fake -0.000257
[1602/5000][45/535][165331] Loss_D: -0.019157 Loss_G: -0.016211 Loss_D_real: 0.003447 Loss_D_fake 0.022603
[1602/5000][50/535][165332] Loss_D: -0.019808 Loss_G: 0.011905 Loss_D_real: -0.012091 Loss_D_fake 0.007717
[1602/5000][55/535][165333] Loss_D: -0.020163 Loss_G: 0.008781 Loss_D_real: -0.023892 Loss_D_fake -0.003729
[1602/5000][60/535][165334] Loss_D: -0.018145 Loss_G: -0.000797 Loss_D_real: -0.000658 Loss_D_fake 0.017487
[1602/5000][65/535][165335] Loss_D: -0.017982 Loss_G: -0.006679 Loss_D_real: -0.014917 Loss_D_fake 0.003065
[1602/5000][70/535][165336] Loss_D: -0.019197 Loss_G: 0.004310 Loss_D_real: -0.018726 Loss_D_fake 0.000471
[1602/5000][75/535][165337] Loss_D: -0.018262 Loss_G: 0.025252 Loss_D_real: -0.022509 Loss_D_fake -0.004247
[1602/5000][80/535][165338] Loss_D: -0.019274 Loss_G: 0.014075 Loss_D_real: -0.018266 Loss_D_fake 0.001009
[1602/5000][85/535][165339] Loss_D: -0.018781 Loss_G: -0.000229 Loss_D_real: -0.018530 Loss_D_fake 0.000251
[1602/5000][90/535][165340] Loss_D: -0.019903 Loss_G: 0.012775 Loss_D_real: -0.027107 Loss_D_fake -0.007204
[1602/5000][95/535][165341] Loss_D: -0.019524 Loss_G: 0.015893 Loss_D_real: -0.029468 Loss_D_fake -0.009944
[1602/5000][100/535][165342] Loss_D: -0.018862 Loss_G: -0.014859 Loss_D_real: -0.010574 Loss_D_fake 0.008288
[1602/5000][105/535][165343] Loss_D: -0.018500 Loss_G: 0.018349 Loss_D_real: -0.020825 Loss_D_fake -0.002325
[1602/5000][110/535][165344] Loss_D: -0.019693 Loss_G: 0.002923 Loss_D_real: -0.019947 Loss_D_fake -0.000253
[1602/5000][115/535][165345] Loss_D: -0.018335 Loss_G: 0.022710 Loss_D_real: -0.024479 Loss_D_fake -0.006145
[1602/5000][120/535][165346] Loss_D: -0.019799 Loss_G: -0.016496 Loss_D_real: -0.001660 Loss_D_fake 0.018138
[1602/5000][125/535][165347] Loss_D: -0.019380 Loss_G: 0.015568 Loss_D_real: -0.019219 Loss_D_fake 0.000161
[1602/5000][130/535][165348] Loss_D: -0.019458 Loss_G: 0.009653 Loss_D_real: -0.007137 Loss_D_fake 0.012321
[1602/5000][135/535][165349] Loss_D: -0.019693 Loss_G: 0.005858 Loss_D_real: -0.019547 Loss_D_fake 0.000146
[1602/5000][140/535][165350] Loss_D: -0.021352 Loss_G: 0.014778 Loss_D_real: -0.020238 Loss_D_fake 0.001114
[1602/5000][145/535][165351] Loss_D: -0.020390 Loss_G: 0.004691 Loss_D_real: -0.002751 Loss_D_fake 0.017639
[1602/5000][150/535][165352] Loss_D: -0.019955 Loss_G: -0.020415 Loss_D_real: -0.005333 Loss_D_fake 0.014622
[1602/5000][155/535][165353] Loss_D: -0.019205 Loss_G: -0.000038 Loss_D_real: -0.015053 Loss_D_fake 0.004152
[1602/5000][160/535][165354] Loss_D: -0.018894 Loss_G: 0.008964 Loss_D_real: -0.021038 Loss_D_fake -0.002144
[1602/5000][165/535][165355] Loss_D: -0.019177 Loss_G: 0.011358 Loss_D_real: -0.019338 Loss_D_fake -0.000161
[1602/5000][170/535][165356] Loss_D: -0.018855 Loss_G: 0.016983 Loss_D_real: -0.021100 Loss_D_fake -0.002245
[1602/5000][175/535][165357] Loss_D: -0.019824 Loss_G: -0.015083 Loss_D_real: 0.002006 Loss_D_fake 0.021830
[1602/5000][180/535][165358] Loss_D: -0.018698 Loss_G: 0.030658 Loss_D_real: -0.025594 Loss_D_fake -0.006896
[1602/5000][185/535][165359] Loss_D: -0.019549 Loss_G: 0.003971 Loss_D_real: -0.021380 Loss_D_fake -0.001831
[1602/5000][190/535][165360] Loss_D: -0.018813 Loss_G: -0.015444 Loss_D_real: -0.001731 Loss_D_fake 0.017082
[1602/5000][195/535][165361] Loss_D: -0.020177 Loss_G: 0.018175 Loss_D_real: -0.005033 Loss_D_fake 0.015144
[1602/5000][200/535][165362] Loss_D: -0.019505 Loss_G: 0.027729 Loss_D_real: -0.025696 Loss_D_fake -0.006190
[1602/5000][205/535][165363] Loss_D: -0.019443 Loss_G: 0.002856 Loss_D_real: -0.030882 Loss_D_fake -0.011438
[1602/5000][210/535][165364] Loss_D: -0.020630 Loss_G: 0.007111 Loss_D_real: -0.011624 Loss_D_fake 0.009006
[1602/5000][215/535][165365] Loss_D: -0.019072 Loss_G: 0.005460 Loss_D_real: -0.020140 Loss_D_fake -0.001068
[1602/5000][220/535][165366] Loss_D: -0.019223 Loss_G: -0.005125 Loss_D_real: -0.011551 Loss_D_fake 0.007672
[1602/5000][225/535][165367] Loss_D: -0.020490 Loss_G: 0.014973 Loss_D_real: -0.014116 Loss_D_fake 0.006374
[1602/5000][230/535][165368] Loss_D: -0.019228 Loss_G: 0.000714 Loss_D_real: -0.004934 Loss_D_fake 0.014294
[1602/5000][235/535][165369] Loss_D: -0.019322 Loss_G: 0.006147 Loss_D_real: -0.020446 Loss_D_fake -0.001123
[1602/5000][240/535][165370] Loss_D: -0.019956 Loss_G: 0.007231 Loss_D_real: -0.000569 Loss_D_fake 0.019386
[1602/5000][245/535][165371] Loss_D: -0.018879 Loss_G: -0.010362 Loss_D_real: -0.012885 Loss_D_fake 0.005994
[1602/5000][250/535][165372] Loss_D: -0.018834 Loss_G: 0.023971 Loss_D_real: -0.034830 Loss_D_fake -0.015996
[1602/5000][255/535][165373] Loss_D: -0.019973 Loss_G: 0.007247 Loss_D_real: -0.017997 Loss_D_fake 0.001975
[1602/5000][260/535][165374] Loss_D: -0.018823 Loss_G: -0.017348 Loss_D_real: 0.008077 Loss_D_fake 0.026901
[1602/5000][265/535][165375] Loss_D: -0.018223 Loss_G: 0.011378 Loss_D_real: -0.019288 Loss_D_fake -0.001065
[1602/5000][270/535][165376] Loss_D: -0.019864 Loss_G: -0.008497 Loss_D_real: 0.004149 Loss_D_fake 0.024014
[1602/5000][275/535][165377] Loss_D: -0.017331 Loss_G: 0.024822 Loss_D_real: -0.025040 Loss_D_fake -0.007709
[1602/5000][280/535][165378] Loss_D: -0.020886 Loss_G: 0.005393 Loss_D_real: -0.008181 Loss_D_fake 0.012705
[1602/5000][285/535][165379] Loss_D: -0.020198 Loss_G: -0.009049 Loss_D_real: -0.017170 Loss_D_fake 0.003028
[1602/5000][290/535][165380] Loss_D: -0.020068 Loss_G: 0.004208 Loss_D_real: -0.009798 Loss_D_fake 0.010269
[1602/5000][295/535][165381] Loss_D: -0.018126 Loss_G: 0.006343 Loss_D_real: -0.014769 Loss_D_fake 0.003356
[1602/5000][300/535][165382] Loss_D: -0.020282 Loss_G: 0.001981 Loss_D_real: -0.005089 Loss_D_fake 0.015193
[1602/5000][305/535][165383] Loss_D: -0.019546 Loss_G: 0.014041 Loss_D_real: -0.025749 Loss_D_fake -0.006203
[1602/5000][310/535][165384] Loss_D: -0.020351 Loss_G: 0.004469 Loss_D_real: -0.005225 Loss_D_fake 0.015126
[1602/5000][315/535][165385] Loss_D: -0.020200 Loss_G: 0.014838 Loss_D_real: -0.030608 Loss_D_fake -0.010408
[1602/5000][320/535][165386] Loss_D: -0.019946 Loss_G: -0.001958 Loss_D_real: -0.007228 Loss_D_fake 0.012719
[1602/5000][325/535][165387] Loss_D: -0.020052 Loss_G: 0.011098 Loss_D_real: -0.011330 Loss_D_fake 0.008722
[1602/5000][330/535][165388] Loss_D: -0.018837 Loss_G: 0.009862 Loss_D_real: -0.026352 Loss_D_fake -0.007516
[1602/5000][335/535][165389] Loss_D: -0.019175 Loss_G: -0.012059 Loss_D_real: -0.007013 Loss_D_fake 0.012163
[1602/5000][340/535][165390] Loss_D: -0.019510 Loss_G: 0.010264 Loss_D_real: -0.011545 Loss_D_fake 0.007966
[1602/5000][345/535][165391] Loss_D: -0.018958 Loss_G: 0.018435 Loss_D_real: -0.019227 Loss_D_fake -0.000269
[1602/5000][350/535][165392] Loss_D: -0.019031 Loss_G: 0.010126 Loss_D_real: -0.022282 Loss_D_fake -0.003251
[1602/5000][355/535][165393] Loss_D: -0.019348 Loss_G: -0.004098 Loss_D_real: -0.029241 Loss_D_fake -0.009893
[1602/5000][360/535][165394] Loss_D: -0.018068 Loss_G: -0.014638 Loss_D_real: -0.009117 Loss_D_fake 0.008951
[1602/5000][365/535][165395] Loss_D: -0.019003 Loss_G: 0.027452 Loss_D_real: -0.029261 Loss_D_fake -0.010258
[1602/5000][370/535][165396] Loss_D: -0.018633 Loss_G: 0.001187 Loss_D_real: -0.018757 Loss_D_fake -0.000123
[1602/5000][375/535][165397] Loss_D: -0.018431 Loss_G: -0.013074 Loss_D_real: -0.012347 Loss_D_fake 0.006085
[1602/5000][380/535][165398] Loss_D: -0.019370 Loss_G: 0.018351 Loss_D_real: -0.020487 Loss_D_fake -0.001117
[1602/5000][385/535][165399] Loss_D: -0.018541 Loss_G: 0.011725 Loss_D_real: -0.025184 Loss_D_fake -0.006643
[1602/5000][390/535][165400] Loss_D: -0.019533 Loss_G: 0.026716 Loss_D_real: -0.015678 Loss_D_fake 0.003855
[1602/5000][395/535][165401] Loss_D: -0.018688 Loss_G: -0.003433 Loss_D_real: -0.000864 Loss_D_fake 0.017824
[1602/5000][400/535][165402] Loss_D: -0.019455 Loss_G: 0.000256 Loss_D_real: -0.021534 Loss_D_fake -0.002079
[1602/5000][405/535][165403] Loss_D: -0.019498 Loss_G: 0.014410 Loss_D_real: -0.019359 Loss_D_fake 0.000139
[1602/5000][410/535][165404] Loss_D: -0.019870 Loss_G: 0.004702 Loss_D_real: -0.005729 Loss_D_fake 0.014141
[1602/5000][415/535][165405] Loss_D: -0.020165 Loss_G: 0.020293 Loss_D_real: -0.020056 Loss_D_fake 0.000109
[1602/5000][420/535][165406] Loss_D: -0.019623 Loss_G: -0.007197 Loss_D_real: -0.029927 Loss_D_fake -0.010304
[1602/5000][425/535][165407] Loss_D: -0.016497 Loss_G: 0.025908 Loss_D_real: -0.038772 Loss_D_fake -0.022276
[1602/5000][430/535][165408] Loss_D: -0.019575 Loss_G: 0.008606 Loss_D_real: -0.013730 Loss_D_fake 0.005844
[1602/5000][435/535][165409] Loss_D: -0.019477 Loss_G: 0.008702 Loss_D_real: -0.012363 Loss_D_fake 0.007115
[1602/5000][440/535][165410] Loss_D: -0.019806 Loss_G: 0.002410 Loss_D_real: -0.009315 Loss_D_fake 0.010491
[1602/5000][445/535][165411] Loss_D: -0.018372 Loss_G: 0.011866 Loss_D_real: -0.014539 Loss_D_fake 0.003834
[1602/5000][450/535][165412] Loss_D: -0.018205 Loss_G: 0.026538 Loss_D_real: -0.023855 Loss_D_fake -0.005650
[1602/5000][455/535][165413] Loss_D: -0.018559 Loss_G: -0.001157 Loss_D_real: -0.002945 Loss_D_fake 0.015614
[1602/5000][460/535][165414] Loss_D: -0.018271 Loss_G: -0.014169 Loss_D_real: -0.001902 Loss_D_fake 0.016369
[1602/5000][465/535][165415] Loss_D: -0.019476 Loss_G: 0.003645 Loss_D_real: -0.018477 Loss_D_fake 0.000998
[1602/5000][470/535][165416] Loss_D: -0.019323 Loss_G: 0.009193 Loss_D_real: -0.018055 Loss_D_fake 0.001268
[1602/5000][475/535][165417] Loss_D: -0.018127 Loss_G: 0.013397 Loss_D_real: -0.031229 Loss_D_fake -0.013101
[1602/5000][480/535][165418] Loss_D: -0.019044 Loss_G: 0.005284 Loss_D_real: -0.011811 Loss_D_fake 0.007234
[1602/5000][485/535][165419] Loss_D: -0.019470 Loss_G: 0.019209 Loss_D_real: -0.027810 Loss_D_fake -0.008340
[1602/5000][490/535][165420] Loss_D: -0.019385 Loss_G: -0.004315 Loss_D_real: -0.010317 Loss_D_fake 0.009068
[1602/5000][495/535][165421] Loss_D: -0.019890 Loss_G: 0.024951 Loss_D_real: -0.032688 Loss_D_fake -0.012798
[1602/5000][500/535][165422] Loss_D: -0.019472 Loss_G: 0.008014 Loss_D_real: -0.011748 Loss_D_fake 0.007723
[1602/5000][505/535][165423] Loss_D: -0.018447 Loss_G: 0.009947 Loss_D_real: -0.026175 Loss_D_fake -0.007728
[1602/5000][510/535][165424] Loss_D: -0.020389 Loss_G: 0.014169 Loss_D_real: -0.010726 Loss_D_fake 0.009663
[1602/5000][515/535][165425] Loss_D: -0.018468 Loss_G: 0.019345 Loss_D_real: -0.028683 Loss_D_fake -0.010214
[1602/5000][520/535][165426] Loss_D: -0.020412 Loss_G: 0.002082 Loss_D_real: -0.014848 Loss_D_fake 0.005564
[1602/5000][525/535][165427] Loss_D: -0.019382 Loss_G: -0.001346 Loss_D_real: -0.008901 Loss_D_fake 0.010481
[1602/5000][530/535][165428] Loss_D: -0.019626 Loss_G: 0.001821 Loss_D_real: -0.002855 Loss_D_fake 0.016771
[1602/5000][535/535][165429] Loss_D: -0.019481 Loss_G: 0.014373 Loss_D_real: -0.025772 Loss_D_fake -0.006291
[1603/5000][5/535][165430] Loss_D: -0.019122 Loss_G: 0.026195 Loss_D_real: -0.018930 Loss_D_fake 0.000192
[1603/5000][10/535][165431] Loss_D: -0.019998 Loss_G: 0.002426 Loss_D_real: -0.015075 Loss_D_fake 0.004923
[1603/5000][15/535][165432] Loss_D: -0.018950 Loss_G: 0.000491 Loss_D_real: -0.009924 Loss_D_fake 0.009026
[1603/5000][20/535][165433] Loss_D: -0.019986 Loss_G: -0.009923 Loss_D_real: -0.008987 Loss_D_fake 0.010999
[1603/5000][25/535][165434] Loss_D: -0.020073 Loss_G: 0.012005 Loss_D_real: -0.010697 Loss_D_fake 0.009376
[1603/5000][30/535][165435] Loss_D: -0.018427 Loss_G: 0.020694 Loss_D_real: -0.035367 Loss_D_fake -0.016939
[1603/5000][35/535][165436] Loss_D: -0.019240 Loss_G: -0.006469 Loss_D_real: -0.006172 Loss_D_fake 0.013069
[1603/5000][40/535][165437] Loss_D: -0.019533 Loss_G: 0.006813 Loss_D_real: -0.026327 Loss_D_fake -0.006794
[1603/5000][45/535][165438] Loss_D: -0.019564 Loss_G: -0.001275 Loss_D_real: -0.004138 Loss_D_fake 0.015426
[1603/5000][50/535][165439] Loss_D: -0.019885 Loss_G: -0.006717 Loss_D_real: -0.009121 Loss_D_fake 0.010764
[1603/5000][55/535][165440] Loss_D: -0.019854 Loss_G: -0.003018 Loss_D_real: 0.003090 Loss_D_fake 0.022945
[1603/5000][60/535][165441] Loss_D: -0.018924 Loss_G: 0.015287 Loss_D_real: -0.023752 Loss_D_fake -0.004829
[1603/5000][65/535][165442] Loss_D: -0.018724 Loss_G: 0.018027 Loss_D_real: -0.024009 Loss_D_fake -0.005284
[1603/5000][70/535][165443] Loss_D: -0.018982 Loss_G: 0.017095 Loss_D_real: -0.032343 Loss_D_fake -0.013361
[1603/5000][75/535][165444] Loss_D: -0.017862 Loss_G: 0.018192 Loss_D_real: -0.012353 Loss_D_fake 0.005509
[1603/5000][80/535][165445] Loss_D: -0.019842 Loss_G: 0.015989 Loss_D_real: -0.018507 Loss_D_fake 0.001335
[1603/5000][85/535][165446] Loss_D: -0.017811 Loss_G: 0.017711 Loss_D_real: -0.023733 Loss_D_fake -0.005922
[1603/5000][90/535][165447] Loss_D: -0.017563 Loss_G: 0.002712 Loss_D_real: -0.017115 Loss_D_fake 0.000448
[1603/5000][95/535][165448] Loss_D: -0.019154 Loss_G: 0.001785 Loss_D_real: -0.021656 Loss_D_fake -0.002502
[1603/5000][100/535][165449] Loss_D: -0.019754 Loss_G: 0.003441 Loss_D_real: -0.033267 Loss_D_fake -0.013513
[1603/5000][105/535][165450] Loss_D: -0.017618 Loss_G: 0.024275 Loss_D_real: -0.021456 Loss_D_fake -0.003839
[1603/5000][110/535][165451] Loss_D: -0.018292 Loss_G: 0.015648 Loss_D_real: -0.029296 Loss_D_fake -0.011004
[1603/5000][115/535][165452] Loss_D: -0.018429 Loss_G: 0.018081 Loss_D_real: -0.037437 Loss_D_fake -0.019008
[1603/5000][120/535][165453] Loss_D: -0.018578 Loss_G: 0.008259 Loss_D_real: -0.017620 Loss_D_fake 0.000958
[1603/5000][125/535][165454] Loss_D: -0.017134 Loss_G: 0.020472 Loss_D_real: -0.022957 Loss_D_fake -0.005823
[1603/5000][130/535][165455] Loss_D: -0.018734 Loss_G: 0.000082 Loss_D_real: 0.006306 Loss_D_fake 0.025040
[1603/5000][135/535][165456] Loss_D: -0.018308 Loss_G: 0.009688 Loss_D_real: -0.019597 Loss_D_fake -0.001289
[1603/5000][140/535][165457] Loss_D: -0.018953 Loss_G: 0.014425 Loss_D_real: -0.020061 Loss_D_fake -0.001108
[1603/5000][145/535][165458] Loss_D: -0.017474 Loss_G: 0.022155 Loss_D_real: -0.032338 Loss_D_fake -0.014864
[1603/5000][150/535][165459] Loss_D: -0.019861 Loss_G: 0.016142 Loss_D_real: -0.021369 Loss_D_fake -0.001508
[1603/5000][155/535][165460] Loss_D: -0.019040 Loss_G: -0.003081 Loss_D_real: -0.000293 Loss_D_fake 0.018747
[1603/5000][160/535][165461] Loss_D: -0.019045 Loss_G: 0.005278 Loss_D_real: -0.014550 Loss_D_fake 0.004495
[1603/5000][165/535][165462] Loss_D: -0.019140 Loss_G: 0.012781 Loss_D_real: -0.015330 Loss_D_fake 0.003810
[1603/5000][170/535][165463] Loss_D: -0.019078 Loss_G: 0.017115 Loss_D_real: -0.026339 Loss_D_fake -0.007262
[1603/5000][175/535][165464] Loss_D: -0.020142 Loss_G: -0.014817 Loss_D_real: -0.007441 Loss_D_fake 0.012702
[1603/5000][180/535][165465] Loss_D: -0.016859 Loss_G: 0.015774 Loss_D_real: -0.021193 Loss_D_fake -0.004334
[1603/5000][185/535][165466] Loss_D: -0.018011 Loss_G: -0.010679 Loss_D_real: -0.007606 Loss_D_fake 0.010406
[1603/5000][190/535][165467] Loss_D: -0.018780 Loss_G: 0.014373 Loss_D_real: -0.012863 Loss_D_fake 0.005917
[1603/5000][195/535][165468] Loss_D: -0.020781 Loss_G: 0.023724 Loss_D_real: -0.013830 Loss_D_fake 0.006950
[1603/5000][200/535][165469] Loss_D: -0.017907 Loss_G: 0.020417 Loss_D_real: -0.024008 Loss_D_fake -0.006100
[1603/5000][205/535][165470] Loss_D: -0.018607 Loss_G: 0.015800 Loss_D_real: -0.018264 Loss_D_fake 0.000343
[1603/5000][210/535][165471] Loss_D: -0.019883 Loss_G: 0.002607 Loss_D_real: -0.018093 Loss_D_fake 0.001790
[1603/5000][215/535][165472] Loss_D: -0.020293 Loss_G: -0.001877 Loss_D_real: -0.026316 Loss_D_fake -0.006023
[1603/5000][220/535][165473] Loss_D: -0.020770 Loss_G: -0.009619 Loss_D_real: -0.007257 Loss_D_fake 0.013513
[1603/5000][225/535][165474] Loss_D: -0.017005 Loss_G: 0.010508 Loss_D_real: -0.021015 Loss_D_fake -0.004009
[1603/5000][230/535][165475] Loss_D: -0.020566 Loss_G: 0.004076 Loss_D_real: 0.000344 Loss_D_fake 0.020910
[1603/5000][235/535][165476] Loss_D: -0.018803 Loss_G: -0.009939 Loss_D_real: -0.008612 Loss_D_fake 0.010191
[1603/5000][240/535][165477] Loss_D: -0.019087 Loss_G: 0.000496 Loss_D_real: -0.010388 Loss_D_fake 0.008699
[1603/5000][245/535][165478] Loss_D: -0.020248 Loss_G: 0.013401 Loss_D_real: -0.020892 Loss_D_fake -0.000644
[1603/5000][250/535][165479] Loss_D: -0.020223 Loss_G: 0.017634 Loss_D_real: -0.008348 Loss_D_fake 0.011875
[1603/5000][255/535][165480] Loss_D: -0.020309 Loss_G: 0.019285 Loss_D_real: -0.027849 Loss_D_fake -0.007539
[1603/5000][260/535][165481] Loss_D: -0.019705 Loss_G: -0.020079 Loss_D_real: 0.004304 Loss_D_fake 0.024009
[1603/5000][265/535][165482] Loss_D: -0.018240 Loss_G: 0.002696 Loss_D_real: -0.015032 Loss_D_fake 0.003208
[1603/5000][270/535][165483] Loss_D: -0.019030 Loss_G: -0.006651 Loss_D_real: -0.017580 Loss_D_fake 0.001450
[1603/5000][275/535][165484] Loss_D: -0.017767 Loss_G: -0.009518 Loss_D_real: -0.000961 Loss_D_fake 0.016806
[1603/5000][280/535][165485] Loss_D: -0.018694 Loss_G: 0.015309 Loss_D_real: -0.023048 Loss_D_fake -0.004354
[1603/5000][285/535][165486] Loss_D: -0.018530 Loss_G: 0.000752 Loss_D_real: -0.017893 Loss_D_fake 0.000637
[1603/5000][290/535][165487] Loss_D: -0.019858 Loss_G: 0.012334 Loss_D_real: -0.023638 Loss_D_fake -0.003780
[1603/5000][295/535][165488] Loss_D: -0.018463 Loss_G: -0.012750 Loss_D_real: -0.003347 Loss_D_fake 0.015116
[1603/5000][300/535][165489] Loss_D: -0.018430 Loss_G: 0.021642 Loss_D_real: -0.026144 Loss_D_fake -0.007714
[1603/5000][305/535][165490] Loss_D: -0.019059 Loss_G: -0.008103 Loss_D_real: -0.013824 Loss_D_fake 0.005235
[1603/5000][310/535][165491] Loss_D: -0.019263 Loss_G: 0.021652 Loss_D_real: -0.012898 Loss_D_fake 0.006365
[1603/5000][315/535][165492] Loss_D: -0.018301 Loss_G: 0.005305 Loss_D_real: -0.024774 Loss_D_fake -0.006473
[1603/5000][320/535][165493] Loss_D: -0.020048 Loss_G: -0.000067 Loss_D_real: 0.005572 Loss_D_fake 0.025620
[1603/5000][325/535][165494] Loss_D: -0.018441 Loss_G: -0.005018 Loss_D_real: -0.015565 Loss_D_fake 0.002876
[1603/5000][330/535][165495] Loss_D: -0.019608 Loss_G: 0.004328 Loss_D_real: -0.013996 Loss_D_fake 0.005611
[1603/5000][335/535][165496] Loss_D: -0.019463 Loss_G: 0.007452 Loss_D_real: 0.007102 Loss_D_fake 0.026566
[1603/5000][340/535][165497] Loss_D: -0.019228 Loss_G: -0.010241 Loss_D_real: -0.003139 Loss_D_fake 0.016089
[1603/5000][345/535][165498] Loss_D: -0.018944 Loss_G: 0.005201 Loss_D_real: -0.011403 Loss_D_fake 0.007541
[1603/5000][350/535][165499] Loss_D: -0.020375 Loss_G: 0.009529 Loss_D_real: -0.004157 Loss_D_fake 0.016217
[1603/5000][355/535][165500] Loss_D: -0.019350 Loss_G: 0.008356 Loss_D_real: -0.009425 Loss_D_fake 0.009925
[1603/5000][455/535][165501] Loss_D: -0.022461 Loss_G: 0.019814 Loss_D_real: -0.029268 Loss_D_fake -0.006807
[1603/5000][460/535][165502] Loss_D: -0.018137 Loss_G: 0.010231 Loss_D_real: -0.021340 Loss_D_fake -0.003203
[1603/5000][465/535][165503] Loss_D: -0.018791 Loss_G: 0.011440 Loss_D_real: -0.008979 Loss_D_fake 0.009812
[1603/5000][470/535][165504] Loss_D: -0.017855 Loss_G: 0.017571 Loss_D_real: -0.012099 Loss_D_fake 0.005755
[1603/5000][475/535][165505] Loss_D: -0.018869 Loss_G: 0.008835 Loss_D_real: -0.023868 Loss_D_fake -0.004999
[1603/5000][480/535][165506] Loss_D: -0.020045 Loss_G: 0.002599 Loss_D_real: -0.021866 Loss_D_fake -0.001821
[1603/5000][485/535][165507] Loss_D: -0.018423 Loss_G: 0.020415 Loss_D_real: -0.020000 Loss_D_fake -0.001576
[1603/5000][490/535][165508] Loss_D: -0.018000 Loss_G: -0.004716 Loss_D_real: -0.000474 Loss_D_fake 0.017525
[1603/5000][495/535][165509] Loss_D: -0.019086 Loss_G: 0.005938 Loss_D_real: -0.012909 Loss_D_fake 0.006176
[1603/5000][500/535][165510] Loss_D: -0.019877 Loss_G: 0.001224 Loss_D_real: -0.025440 Loss_D_fake -0.005563
[1603/5000][505/535][165511] Loss_D: -0.019081 Loss_G: 0.000235 Loss_D_real: -0.022287 Loss_D_fake -0.003206
[1603/5000][510/535][165512] Loss_D: -0.019975 Loss_G: -0.003366 Loss_D_real: -0.021882 Loss_D_fake -0.001907
[1603/5000][515/535][165513] Loss_D: -0.018968 Loss_G: 0.007097 Loss_D_real: -0.015776 Loss_D_fake 0.003193
[1603/5000][520/535][165514] Loss_D: -0.019952 Loss_G: 0.008545 Loss_D_real: -0.013755 Loss_D_fake 0.006197
[1603/5000][525/535][165515] Loss_D: -0.019345 Loss_G: 0.001792 Loss_D_real: -0.017609 Loss_D_fake 0.001736
[1603/5000][530/535][165516] Loss_D: -0.019779 Loss_G: 0.016195 Loss_D_real: -0.019455 Loss_D_fake 0.000324
[1603/5000][535/535][165517] Loss_D: -0.017802 Loss_G: -0.000995 Loss_D_real: -0.010359 Loss_D_fake 0.007443
[1604/5000][5/535][165518] Loss_D: -0.019409 Loss_G: -0.002751 Loss_D_real: -0.009417 Loss_D_fake 0.009992
[1604/5000][10/535][165519] Loss_D: -0.018879 Loss_G: 0.004078 Loss_D_real: -0.013496 Loss_D_fake 0.005383
[1604/5000][15/535][165520] Loss_D: -0.021049 Loss_G: 0.020039 Loss_D_real: -0.014475 Loss_D_fake 0.006574
[1604/5000][20/535][165521] Loss_D: -0.020750 Loss_G: 0.005566 Loss_D_real: -0.011863 Loss_D_fake 0.008887
[1604/5000][25/535][165522] Loss_D: -0.018562 Loss_G: 0.014446 Loss_D_real: -0.028708 Loss_D_fake -0.010146
[1604/5000][30/535][165523] Loss_D: -0.018510 Loss_G: 0.000663 Loss_D_real: -0.011380 Loss_D_fake 0.007131
[1604/5000][35/535][165524] Loss_D: -0.017442 Loss_G: 0.016128 Loss_D_real: -0.029515 Loss_D_fake -0.012073
[1604/5000][40/535][165525] Loss_D: -0.018803 Loss_G: -0.000328 Loss_D_real: -0.007132 Loss_D_fake 0.011672
[1604/5000][45/535][165526] Loss_D: -0.019535 Loss_G: -0.006473 Loss_D_real: -0.018597 Loss_D_fake 0.000938
[1604/5000][50/535][165527] Loss_D: -0.018082 Loss_G: 0.006764 Loss_D_real: -0.016110 Loss_D_fake 0.001972
[1604/5000][55/535][165528] Loss_D: -0.019489 Loss_G: -0.008723 Loss_D_real: -0.012605 Loss_D_fake 0.006884
[1604/5000][60/535][165529] Loss_D: -0.017778 Loss_G: 0.010001 Loss_D_real: -0.021174 Loss_D_fake -0.003397
[1604/5000][65/535][165530] Loss_D: -0.018854 Loss_G: 0.003801 Loss_D_real: -0.008774 Loss_D_fake 0.010080
[1604/5000][70/535][165531] Loss_D: -0.018067 Loss_G: 0.009404 Loss_D_real: -0.022134 Loss_D_fake -0.004068
[1604/5000][75/535][165532] Loss_D: -0.018786 Loss_G: 0.011692 Loss_D_real: -0.024988 Loss_D_fake -0.006202
[1604/5000][80/535][165533] Loss_D: -0.020951 Loss_G: 0.005551 Loss_D_real: -0.007409 Loss_D_fake 0.013541
[1604/5000][85/535][165534] Loss_D: -0.018390 Loss_G: 0.026891 Loss_D_real: -0.024330 Loss_D_fake -0.005940
[1604/5000][90/535][165535] Loss_D: -0.017557 Loss_G: 0.014642 Loss_D_real: -0.022137 Loss_D_fake -0.004580
[1604/5000][95/535][165536] Loss_D: -0.019856 Loss_G: -0.001215 Loss_D_real: -0.006320 Loss_D_fake 0.013536
[1604/5000][100/535][165537] Loss_D: -0.018814 Loss_G: 0.011904 Loss_D_real: -0.018779 Loss_D_fake 0.000035
[1604/5000][105/535][165538] Loss_D: -0.019955 Loss_G: -0.002475 Loss_D_real: -0.014686 Loss_D_fake 0.005269
[1604/5000][110/535][165539] Loss_D: -0.020009 Loss_G: 0.023427 Loss_D_real: -0.033655 Loss_D_fake -0.013646
[1604/5000][115/535][165540] Loss_D: -0.019614 Loss_G: 0.015853 Loss_D_real: -0.018104 Loss_D_fake 0.001510
[1604/5000][120/535][165541] Loss_D: -0.019910 Loss_G: -0.009214 Loss_D_real: -0.014913 Loss_D_fake 0.004997
[1604/5000][125/535][165542] Loss_D: -0.018072 Loss_G: 0.027041 Loss_D_real: -0.028171 Loss_D_fake -0.010099
[1604/5000][130/535][165543] Loss_D: -0.019633 Loss_G: 0.015170 Loss_D_real: -0.005265 Loss_D_fake 0.014368
[1604/5000][135/535][165544] Loss_D: -0.019674 Loss_G: 0.009301 Loss_D_real: -0.010427 Loss_D_fake 0.009247
[1604/5000][140/535][165545] Loss_D: -0.021119 Loss_G: -0.002423 Loss_D_real: -0.015143 Loss_D_fake 0.005976
[1604/5000][145/535][165546] Loss_D: -0.018691 Loss_G: 0.011270 Loss_D_real: -0.028409 Loss_D_fake -0.009718
[1604/5000][150/535][165547] Loss_D: -0.018297 Loss_G: 0.006047 Loss_D_real: -0.013480 Loss_D_fake 0.004817
[1604/5000][155/535][165548] Loss_D: -0.020458 Loss_G: 0.001346 Loss_D_real: -0.006957 Loss_D_fake 0.013501
[1604/5000][160/535][165549] Loss_D: -0.019578 Loss_G: 0.023770 Loss_D_real: -0.017199 Loss_D_fake 0.002380
[1604/5000][165/535][165550] Loss_D: -0.018772 Loss_G: 0.001330 Loss_D_real: -0.022795 Loss_D_fake -0.004023
[1604/5000][170/535][165551] Loss_D: -0.020679 Loss_G: 0.010148 Loss_D_real: -0.021521 Loss_D_fake -0.000842
[1604/5000][175/535][165552] Loss_D: -0.018617 Loss_G: -0.002271 Loss_D_real: -0.012649 Loss_D_fake 0.005968
[1604/5000][180/535][165553] Loss_D: -0.018759 Loss_G: -0.000360 Loss_D_real: -0.021348 Loss_D_fake -0.002589
[1604/5000][185/535][165554] Loss_D: -0.018297 Loss_G: 0.008204 Loss_D_real: -0.012054 Loss_D_fake 0.006243
[1604/5000][190/535][165555] Loss_D: -0.019554 Loss_G: -0.009814 Loss_D_real: -0.007248 Loss_D_fake 0.012306
[1604/5000][195/535][165556] Loss_D: -0.019159 Loss_G: 0.019775 Loss_D_real: -0.030783 Loss_D_fake -0.011624
[1604/5000][200/535][165557] Loss_D: -0.018975 Loss_G: -0.002673 Loss_D_real: -0.001446 Loss_D_fake 0.017529
[1604/5000][205/535][165558] Loss_D: -0.019773 Loss_G: 0.024761 Loss_D_real: -0.017586 Loss_D_fake 0.002186
[1604/5000][210/535][165559] Loss_D: -0.019496 Loss_G: -0.005390 Loss_D_real: -0.002951 Loss_D_fake 0.016546
[1604/5000][215/535][165560] Loss_D: -0.020373 Loss_G: -0.002175 Loss_D_real: -0.019262 Loss_D_fake 0.001111
[1604/5000][220/535][165561] Loss_D: -0.019754 Loss_G: 0.012578 Loss_D_real: -0.009881 Loss_D_fake 0.009873
[1604/5000][225/535][165562] Loss_D: -0.018142 Loss_G: 0.011495 Loss_D_real: -0.020882 Loss_D_fake -0.002739
[1604/5000][230/535][165563] Loss_D: -0.019145 Loss_G: 0.027699 Loss_D_real: -0.031094 Loss_D_fake -0.011949
[1604/5000][235/535][165564] Loss_D: -0.019034 Loss_G: 0.022536 Loss_D_real: -0.026354 Loss_D_fake -0.007320
[1604/5000][240/535][165565] Loss_D: -0.019250 Loss_G: -0.000521 Loss_D_real: -0.013001 Loss_D_fake 0.006250
[1604/5000][245/535][165566] Loss_D: -0.019336 Loss_G: 0.001588 Loss_D_real: -0.022451 Loss_D_fake -0.003115
[1604/5000][250/535][165567] Loss_D: -0.019588 Loss_G: -0.007677 Loss_D_real: -0.009908 Loss_D_fake 0.009680
[1604/5000][255/535][165568] Loss_D: -0.019176 Loss_G: 0.009886 Loss_D_real: -0.019984 Loss_D_fake -0.000808
[1604/5000][260/535][165569] Loss_D: -0.017811 Loss_G: 0.013119 Loss_D_real: -0.025210 Loss_D_fake -0.007399
[1604/5000][265/535][165570] Loss_D: -0.017521 Loss_G: 0.005628 Loss_D_real: -0.008169 Loss_D_fake 0.009351
[1604/5000][270/535][165571] Loss_D: -0.017836 Loss_G: 0.014967 Loss_D_real: -0.025957 Loss_D_fake -0.008121
[1604/5000][275/535][165572] Loss_D: -0.018462 Loss_G: 0.015304 Loss_D_real: -0.013134 Loss_D_fake 0.005328
[1604/5000][280/535][165573] Loss_D: -0.019747 Loss_G: 0.002494 Loss_D_real: -0.010700 Loss_D_fake 0.009047
[1604/5000][285/535][165574] Loss_D: -0.020215 Loss_G: -0.000870 Loss_D_real: -0.009801 Loss_D_fake 0.010414
[1604/5000][290/535][165575] Loss_D: -0.018817 Loss_G: -0.000369 Loss_D_real: -0.009296 Loss_D_fake 0.009520
[1604/5000][295/535][165576] Loss_D: -0.018935 Loss_G: 0.005877 Loss_D_real: -0.020669 Loss_D_fake -0.001734
[1604/5000][300/535][165577] Loss_D: -0.018872 Loss_G: 0.019965 Loss_D_real: -0.013068 Loss_D_fake 0.005804
[1604/5000][305/535][165578] Loss_D: -0.019231 Loss_G: 0.001675 Loss_D_real: -0.009131 Loss_D_fake 0.010100
[1604/5000][310/535][165579] Loss_D: -0.018316 Loss_G: 0.016745 Loss_D_real: -0.019945 Loss_D_fake -0.001629
[1604/5000][315/535][165580] Loss_D: -0.018363 Loss_G: -0.007495 Loss_D_real: -0.010833 Loss_D_fake 0.007531
[1604/5000][320/535][165581] Loss_D: -0.017941 Loss_G: -0.016839 Loss_D_real: -0.005437 Loss_D_fake 0.012504
[1604/5000][325/535][165582] Loss_D: -0.019136 Loss_G: 0.001930 Loss_D_real: -0.008123 Loss_D_fake 0.011014
[1604/5000][330/535][165583] Loss_D: -0.019217 Loss_G: -0.000896 Loss_D_real: -0.005461 Loss_D_fake 0.013756
[1604/5000][335/535][165584] Loss_D: -0.019953 Loss_G: 0.022952 Loss_D_real: -0.018511 Loss_D_fake 0.001442
[1604/5000][340/535][165585] Loss_D: -0.018879 Loss_G: 0.008216 Loss_D_real: -0.010410 Loss_D_fake 0.008469
[1604/5000][345/535][165586] Loss_D: -0.019616 Loss_G: 0.004552 Loss_D_real: -0.023248 Loss_D_fake -0.003632
[1604/5000][350/535][165587] Loss_D: -0.019535 Loss_G: -0.006418 Loss_D_real: 0.002959 Loss_D_fake 0.022495
[1604/5000][355/535][165588] Loss_D: -0.020203 Loss_G: 0.012835 Loss_D_real: -0.034621 Loss_D_fake -0.014417
[1604/5000][360/535][165589] Loss_D: -0.019474 Loss_G: 0.020313 Loss_D_real: -0.017040 Loss_D_fake 0.002434
[1604/5000][365/535][165590] Loss_D: -0.018919 Loss_G: -0.005269 Loss_D_real: -0.011120 Loss_D_fake 0.007799
[1604/5000][370/535][165591] Loss_D: -0.018463 Loss_G: -0.003251 Loss_D_real: 0.003792 Loss_D_fake 0.022255
[1604/5000][375/535][165592] Loss_D: -0.018921 Loss_G: 0.001671 Loss_D_real: -0.028647 Loss_D_fake -0.009726
[1604/5000][380/535][165593] Loss_D: -0.020587 Loss_G: 0.007080 Loss_D_real: -0.019591 Loss_D_fake 0.000996
[1604/5000][385/535][165594] Loss_D: -0.020015 Loss_G: 0.013048 Loss_D_real: -0.008617 Loss_D_fake 0.011398
[1604/5000][390/535][165595] Loss_D: -0.020382 Loss_G: -0.017539 Loss_D_real: -0.004621 Loss_D_fake 0.015761
[1604/5000][395/535][165596] Loss_D: -0.019634 Loss_G: -0.002620 Loss_D_real: -0.004010 Loss_D_fake 0.015624
[1604/5000][400/535][165597] Loss_D: -0.019632 Loss_G: -0.001233 Loss_D_real: -0.003664 Loss_D_fake 0.015969
[1604/5000][405/535][165598] Loss_D: -0.017870 Loss_G: 0.019706 Loss_D_real: -0.034998 Loss_D_fake -0.017128
[1604/5000][410/535][165599] Loss_D: -0.021210 Loss_G: -0.005059 Loss_D_real: -0.010035 Loss_D_fake 0.011175
[1604/5000][415/535][165600] Loss_D: -0.019100 Loss_G: 0.004922 Loss_D_real: -0.002884 Loss_D_fake 0.016215
[1604/5000][420/535][165601] Loss_D: -0.017140 Loss_G: -0.011290 Loss_D_real: -0.006110 Loss_D_fake 0.011031
[1604/5000][425/535][165602] Loss_D: -0.018425 Loss_G: 0.022864 Loss_D_real: -0.030056 Loss_D_fake -0.011631
[1604/5000][430/535][165603] Loss_D: -0.020505 Loss_G: 0.012427 Loss_D_real: -0.014813 Loss_D_fake 0.005692
[1604/5000][435/535][165604] Loss_D: -0.018786 Loss_G: 0.017418 Loss_D_real: -0.015957 Loss_D_fake 0.002829
[1604/5000][440/535][165605] Loss_D: -0.017725 Loss_G: -0.014950 Loss_D_real: -0.009532 Loss_D_fake 0.008193
[1604/5000][445/535][165606] Loss_D: -0.019459 Loss_G: -0.004443 Loss_D_real: -0.021722 Loss_D_fake -0.002264
[1604/5000][450/535][165607] Loss_D: -0.018611 Loss_G: 0.013800 Loss_D_real: -0.012816 Loss_D_fake 0.005795
[1604/5000][455/535][165608] Loss_D: -0.019278 Loss_G: 0.006809 Loss_D_real: -0.009380 Loss_D_fake 0.009898
[1604/5000][460/535][165609] Loss_D: -0.017638 Loss_G: 0.020679 Loss_D_real: -0.023576 Loss_D_fake -0.005939
[1604/5000][465/535][165610] Loss_D: -0.018178 Loss_G: -0.019858 Loss_D_real: 0.004836 Loss_D_fake 0.023014
[1604/5000][470/535][165611] Loss_D: -0.019810 Loss_G: 0.010913 Loss_D_real: -0.021890 Loss_D_fake -0.002080
[1604/5000][475/535][165612] Loss_D: -0.019683 Loss_G: 0.004332 Loss_D_real: -0.018606 Loss_D_fake 0.001077
[1604/5000][480/535][165613] Loss_D: -0.018862 Loss_G: 0.028025 Loss_D_real: -0.036104 Loss_D_fake -0.017242
[1604/5000][485/535][165614] Loss_D: -0.018929 Loss_G: 0.009489 Loss_D_real: -0.028723 Loss_D_fake -0.009794
[1604/5000][490/535][165615] Loss_D: -0.019702 Loss_G: -0.009001 Loss_D_real: 0.000005 Loss_D_fake 0.019707
[1604/5000][495/535][165616] Loss_D: -0.019887 Loss_G: -0.006393 Loss_D_real: -0.011916 Loss_D_fake 0.007970
[1604/5000][500/535][165617] Loss_D: -0.019793 Loss_G: 0.016674 Loss_D_real: -0.023696 Loss_D_fake -0.003903
[1604/5000][505/535][165618] Loss_D: -0.019138 Loss_G: 0.004132 Loss_D_real: -0.006974 Loss_D_fake 0.012164
[1604/5000][510/535][165619] Loss_D: -0.019637 Loss_G: -0.004904 Loss_D_real: -0.023335 Loss_D_fake -0.003698
[1604/5000][515/535][165620] Loss_D: -0.019898 Loss_G: -0.001125 Loss_D_real: -0.017924 Loss_D_fake 0.001974
[1604/5000][520/535][165621] Loss_D: -0.018557 Loss_G: 0.001301 Loss_D_real: -0.025760 Loss_D_fake -0.007203
[1604/5000][525/535][165622] Loss_D: -0.021056 Loss_G: 0.005238 Loss_D_real: -0.008361 Loss_D_fake 0.012695
[1604/5000][530/535][165623] Loss_D: -0.018993 Loss_G: 0.008919 Loss_D_real: -0.028457 Loss_D_fake -0.009464
[1604/5000][535/535][165624] Loss_D: -0.019711 Loss_G: -0.006838 Loss_D_real: -0.019655 Loss_D_fake 0.000055
[1605/5000][5/535][165625] Loss_D: -0.020372 Loss_G: 0.000453 Loss_D_real: -0.003748 Loss_D_fake 0.016625
[1605/5000][10/535][165626] Loss_D: -0.018917 Loss_G: -0.005941 Loss_D_real: -0.011109 Loss_D_fake 0.007807
[1605/5000][15/535][165627] Loss_D: -0.018878 Loss_G: -0.001607 Loss_D_real: -0.007761 Loss_D_fake 0.011117
[1605/5000][20/535][165628] Loss_D: -0.019718 Loss_G: 0.012762 Loss_D_real: -0.017622 Loss_D_fake 0.002095
[1605/5000][25/535][165629] Loss_D: -0.019537 Loss_G: 0.006429 Loss_D_real: -0.032673 Loss_D_fake -0.013136
[1605/5000][30/535][165630] Loss_D: -0.019961 Loss_G: 0.009240 Loss_D_real: -0.015680 Loss_D_fake 0.004281
[1605/5000][35/535][165631] Loss_D: -0.019212 Loss_G: 0.001797 Loss_D_real: 0.002480 Loss_D_fake 0.021692
[1605/5000][40/535][165632] Loss_D: -0.019677 Loss_G: 0.008273 Loss_D_real: -0.006298 Loss_D_fake 0.013379
[1605/5000][45/535][165633] Loss_D: -0.020097 Loss_G: -0.013599 Loss_D_real: -0.003994 Loss_D_fake 0.016104
[1605/5000][50/535][165634] Loss_D: -0.019506 Loss_G: 0.007355 Loss_D_real: -0.007386 Loss_D_fake 0.012120
[1605/5000][55/535][165635] Loss_D: -0.018135 Loss_G: 0.004109 Loss_D_real: -0.027089 Loss_D_fake -0.008954
[1605/5000][60/535][165636] Loss_D: -0.020782 Loss_G: 0.005920 Loss_D_real: -0.013741 Loss_D_fake 0.007040
[1605/5000][65/535][165637] Loss_D: -0.017322 Loss_G: 0.015924 Loss_D_real: -0.026647 Loss_D_fake -0.009325
[1605/5000][70/535][165638] Loss_D: -0.018810 Loss_G: 0.002495 Loss_D_real: -0.016009 Loss_D_fake 0.002802
[1605/5000][75/535][165639] Loss_D: -0.018706 Loss_G: 0.000695 Loss_D_real: -0.010451 Loss_D_fake 0.008255
[1605/5000][80/535][165640] Loss_D: -0.017960 Loss_G: -0.010001 Loss_D_real: -0.018009 Loss_D_fake -0.000050
[1605/5000][85/535][165641] Loss_D: -0.019582 Loss_G: 0.018887 Loss_D_real: -0.010263 Loss_D_fake 0.009319
[1605/5000][90/535][165642] Loss_D: -0.017764 Loss_G: -0.006756 Loss_D_real: 0.003823 Loss_D_fake 0.021587
[1605/5000][95/535][165643] Loss_D: -0.018969 Loss_G: 0.023248 Loss_D_real: -0.023087 Loss_D_fake -0.004118
[1605/5000][100/535][165644] Loss_D: -0.017961 Loss_G: -0.015876 Loss_D_real: -0.005052 Loss_D_fake 0.012909
[1605/5000][105/535][165645] Loss_D: -0.017754 Loss_G: 0.009288 Loss_D_real: -0.029642 Loss_D_fake -0.011888
[1605/5000][110/535][165646] Loss_D: -0.018448 Loss_G: 0.005089 Loss_D_real: -0.005325 Loss_D_fake 0.013123
[1605/5000][115/535][165647] Loss_D: -0.018203 Loss_G: 0.022014 Loss_D_real: -0.030023 Loss_D_fake -0.011819
[1605/5000][120/535][165648] Loss_D: -0.019015 Loss_G: 0.000011 Loss_D_real: -0.009682 Loss_D_fake 0.009333
[1605/5000][125/535][165649] Loss_D: -0.020009 Loss_G: 0.014423 Loss_D_real: -0.016439 Loss_D_fake 0.003570
[1605/5000][130/535][165650] Loss_D: -0.020361 Loss_G: 0.013658 Loss_D_real: -0.013440 Loss_D_fake 0.006921
[1605/5000][135/535][165651] Loss_D: -0.018725 Loss_G: 0.012861 Loss_D_real: -0.027880 Loss_D_fake -0.009155
[1605/5000][140/535][165652] Loss_D: -0.019053 Loss_G: -0.012473 Loss_D_real: -0.015265 Loss_D_fake 0.003788
[1605/5000][145/535][165653] Loss_D: -0.018904 Loss_G: 0.014888 Loss_D_real: -0.017785 Loss_D_fake 0.001119
[1605/5000][150/535][165654] Loss_D: -0.019964 Loss_G: 0.013713 Loss_D_real: -0.022215 Loss_D_fake -0.002251
[1605/5000][155/535][165655] Loss_D: -0.017858 Loss_G: -0.003644 Loss_D_real: -0.010429 Loss_D_fake 0.007429
[1605/5000][160/535][165656] Loss_D: -0.018906 Loss_G: -0.008230 Loss_D_real: -0.022686 Loss_D_fake -0.003780
[1605/5000][165/535][165657] Loss_D: -0.019974 Loss_G: 0.023925 Loss_D_real: -0.026083 Loss_D_fake -0.006109
[1605/5000][170/535][165658] Loss_D: -0.019477 Loss_G: -0.000260 Loss_D_real: -0.014586 Loss_D_fake 0.004891
[1605/5000][175/535][165659] Loss_D: -0.017989 Loss_G: 0.009406 Loss_D_real: -0.015373 Loss_D_fake 0.002616
[1605/5000][180/535][165660] Loss_D: -0.018820 Loss_G: 0.012124 Loss_D_real: -0.016519 Loss_D_fake 0.002301
[1605/5000][185/535][165661] Loss_D: -0.018045 Loss_G: 0.000171 Loss_D_real: -0.009213 Loss_D_fake 0.008832
[1605/5000][190/535][165662] Loss_D: -0.018414 Loss_G: 0.004097 Loss_D_real: -0.012415 Loss_D_fake 0.005999
[1605/5000][195/535][165663] Loss_D: -0.018341 Loss_G: 0.029968 Loss_D_real: -0.031535 Loss_D_fake -0.013195
[1605/5000][200/535][165664] Loss_D: -0.017830 Loss_G: 0.019334 Loss_D_real: -0.022469 Loss_D_fake -0.004639
[1605/5000][205/535][165665] Loss_D: -0.019580 Loss_G: 0.009062 Loss_D_real: -0.009669 Loss_D_fake 0.009911
[1605/5000][210/535][165666] Loss_D: -0.018772 Loss_G: 0.006605 Loss_D_real: -0.005336 Loss_D_fake 0.013436
[1605/5000][215/535][165667] Loss_D: -0.019145 Loss_G: 0.013162 Loss_D_real: -0.019548 Loss_D_fake -0.000403
[1605/5000][220/535][165668] Loss_D: -0.018930 Loss_G: 0.002272 Loss_D_real: -0.008836 Loss_D_fake 0.010094
[1605/5000][225/535][165669] Loss_D: -0.019377 Loss_G: 0.007444 Loss_D_real: -0.021815 Loss_D_fake -0.002439
[1605/5000][230/535][165670] Loss_D: -0.019206 Loss_G: 0.006096 Loss_D_real: -0.019069 Loss_D_fake 0.000137
[1605/5000][235/535][165671] Loss_D: -0.020616 Loss_G: 0.026671 Loss_D_real: -0.027650 Loss_D_fake -0.007034
[1605/5000][240/535][165672] Loss_D: -0.018584 Loss_G: -0.005372 Loss_D_real: -0.009840 Loss_D_fake 0.008743
[1605/5000][245/535][165673] Loss_D: -0.020026 Loss_G: 0.008960 Loss_D_real: -0.027430 Loss_D_fake -0.007404
[1605/5000][250/535][165674] Loss_D: -0.018505 Loss_G: -0.006335 Loss_D_real: -0.013371 Loss_D_fake 0.005134
[1605/5000][255/535][165675] Loss_D: -0.020067 Loss_G: -0.006164 Loss_D_real: -0.024369 Loss_D_fake -0.004302
[1605/5000][260/535][165676] Loss_D: -0.019857 Loss_G: -0.007286 Loss_D_real: -0.009208 Loss_D_fake 0.010649
[1605/5000][265/535][165677] Loss_D: -0.018897 Loss_G: 0.022151 Loss_D_real: -0.020123 Loss_D_fake -0.001226
[1605/5000][270/535][165678] Loss_D: -0.018945 Loss_G: 0.000154 Loss_D_real: -0.008811 Loss_D_fake 0.010135
[1605/5000][275/535][165679] Loss_D: -0.019725 Loss_G: 0.004274 Loss_D_real: -0.018367 Loss_D_fake 0.001358
[1605/5000][280/535][165680] Loss_D: -0.020275 Loss_G: -0.000846 Loss_D_real: -0.017188 Loss_D_fake 0.003087
[1605/5000][285/535][165681] Loss_D: -0.018813 Loss_G: 0.007447 Loss_D_real: -0.016642 Loss_D_fake 0.002171
[1605/5000][290/535][165682] Loss_D: -0.018083 Loss_G: 0.013696 Loss_D_real: -0.030934 Loss_D_fake -0.012851
[1605/5000][295/535][165683] Loss_D: -0.019222 Loss_G: 0.009530 Loss_D_real: -0.020820 Loss_D_fake -0.001597
[1605/5000][300/535][165684] Loss_D: -0.019512 Loss_G: 0.020301 Loss_D_real: -0.023799 Loss_D_fake -0.004287
[1605/5000][305/535][165685] Loss_D: -0.019837 Loss_G: 0.005223 Loss_D_real: -0.015140 Loss_D_fake 0.004697
[1605/5000][310/535][165686] Loss_D: -0.018739 Loss_G: 0.006425 Loss_D_real: -0.004958 Loss_D_fake 0.013781
[1605/5000][315/535][165687] Loss_D: -0.018514 Loss_G: 0.018057 Loss_D_real: -0.019818 Loss_D_fake -0.001304
[1605/5000][320/535][165688] Loss_D: -0.018984 Loss_G: 0.009664 Loss_D_real: -0.017902 Loss_D_fake 0.001082
[1605/5000][325/535][165689] Loss_D: -0.019849 Loss_G: -0.010761 Loss_D_real: -0.006964 Loss_D_fake 0.012885
[1605/5000][330/535][165690] Loss_D: -0.019643 Loss_G: 0.000653 Loss_D_real: -0.007139 Loss_D_fake 0.012503
[1605/5000][335/535][165691] Loss_D: -0.018764 Loss_G: 0.019854 Loss_D_real: -0.023559 Loss_D_fake -0.004795
[1605/5000][340/535][165692] Loss_D: -0.018808 Loss_G: 0.006964 Loss_D_real: -0.027355 Loss_D_fake -0.008548
[1605/5000][345/535][165693] Loss_D: -0.018289 Loss_G: -0.013434 Loss_D_real: -0.002152 Loss_D_fake 0.016138
[1605/5000][350/535][165694] Loss_D: -0.019231 Loss_G: 0.001400 Loss_D_real: -0.012108 Loss_D_fake 0.007123
[1605/5000][355/535][165695] Loss_D: -0.019301 Loss_G: 0.019099 Loss_D_real: -0.012196 Loss_D_fake 0.007105
[1605/5000][360/535][165696] Loss_D: -0.019055 Loss_G: 0.007838 Loss_D_real: -0.016173 Loss_D_fake 0.002882
[1605/5000][365/535][165697] Loss_D: -0.020336 Loss_G: -0.001596 Loss_D_real: -0.010920 Loss_D_fake 0.009416
[1605/5000][370/535][165698] Loss_D: -0.018974 Loss_G: 0.002793 Loss_D_real: -0.019375 Loss_D_fake -0.000401
[1605/5000][375/535][165699] Loss_D: -0.018667 Loss_G: 0.019047 Loss_D_real: -0.022932 Loss_D_fake -0.004265
[1605/5000][380/535][165700] Loss_D: -0.018235 Loss_G: 0.013125 Loss_D_real: -0.023378 Loss_D_fake -0.005143
[1605/5000][385/535][165701] Loss_D: -0.020248 Loss_G: 0.006665 Loss_D_real: -0.016124 Loss_D_fake 0.004125
[1605/5000][390/535][165702] Loss_D: -0.018048 Loss_G: 0.026708 Loss_D_real: -0.035511 Loss_D_fake -0.017463
[1605/5000][395/535][165703] Loss_D: -0.020641 Loss_G: 0.000013 Loss_D_real: -0.012600 Loss_D_fake 0.008041
[1605/5000][400/535][165704] Loss_D: -0.019685 Loss_G: 0.017914 Loss_D_real: -0.018579 Loss_D_fake 0.001106
[1605/5000][405/535][165705] Loss_D: -0.019565 Loss_G: -0.001825 Loss_D_real: -0.008135 Loss_D_fake 0.011430
[1605/5000][410/535][165706] Loss_D: -0.019674 Loss_G: 0.018836 Loss_D_real: -0.020032 Loss_D_fake -0.000357
[1605/5000][415/535][165707] Loss_D: -0.018915 Loss_G: -0.008986 Loss_D_real: -0.015730 Loss_D_fake 0.003185
[1605/5000][420/535][165708] Loss_D: -0.017539 Loss_G: 0.019968 Loss_D_real: -0.022514 Loss_D_fake -0.004975
[1605/5000][425/535][165709] Loss_D: -0.019459 Loss_G: 0.007915 Loss_D_real: -0.022729 Loss_D_fake -0.003270
[1605/5000][430/535][165710] Loss_D: -0.019608 Loss_G: 0.001093 Loss_D_real: -0.019232 Loss_D_fake 0.000375
[1605/5000][435/535][165711] Loss_D: -0.021154 Loss_G: 0.003430 Loss_D_real: -0.020346 Loss_D_fake 0.000809
[1605/5000][440/535][165712] Loss_D: -0.018538 Loss_G: 0.003271 Loss_D_real: -0.021561 Loss_D_fake -0.003023
[1605/5000][445/535][165713] Loss_D: -0.018506 Loss_G: -0.014918 Loss_D_real: -0.007939 Loss_D_fake 0.010567
[1605/5000][450/535][165714] Loss_D: -0.017913 Loss_G: -0.002666 Loss_D_real: -0.003111 Loss_D_fake 0.014802
[1605/5000][455/535][165715] Loss_D: -0.018901 Loss_G: -0.008145 Loss_D_real: -0.011486 Loss_D_fake 0.007415
[1605/5000][460/535][165716] Loss_D: -0.018433 Loss_G: -0.000532 Loss_D_real: -0.013156 Loss_D_fake 0.005277
[1605/5000][465/535][165717] Loss_D: -0.020155 Loss_G: 0.003243 Loss_D_real: -0.012825 Loss_D_fake 0.007330
[1605/5000][470/535][165718] Loss_D: -0.019695 Loss_G: 0.011579 Loss_D_real: -0.027284 Loss_D_fake -0.007589
[1605/5000][475/535][165719] Loss_D: -0.017457 Loss_G: -0.012897 Loss_D_real: 0.007212 Loss_D_fake 0.024670
[1605/5000][480/535][165720] Loss_D: -0.019823 Loss_G: 0.008076 Loss_D_real: -0.014181 Loss_D_fake 0.005642
[1605/5000][485/535][165721] Loss_D: -0.020396 Loss_G: 0.013114 Loss_D_real: -0.013840 Loss_D_fake 0.006557
[1605/5000][490/535][165722] Loss_D: -0.020161 Loss_G: 0.018352 Loss_D_real: -0.023336 Loss_D_fake -0.003175
[1605/5000][495/535][165723] Loss_D: -0.019731 Loss_G: -0.007058 Loss_D_real: -0.021793 Loss_D_fake -0.002062
[1605/5000][500/535][165724] Loss_D: -0.019549 Loss_G: -0.002764 Loss_D_real: -0.006474 Loss_D_fake 0.013075
[1605/5000][505/535][165725] Loss_D: -0.018924 Loss_G: 0.010743 Loss_D_real: -0.025221 Loss_D_fake -0.006297
[1605/5000][510/535][165726] Loss_D: -0.019093 Loss_G: 0.003199 Loss_D_real: -0.014110 Loss_D_fake 0.004983
[1605/5000][515/535][165727] Loss_D: -0.019311 Loss_G: 0.002609 Loss_D_real: -0.016527 Loss_D_fake 0.002785
[1605/5000][520/535][165728] Loss_D: -0.018459 Loss_G: 0.013675 Loss_D_real: -0.034796 Loss_D_fake -0.016337
[1605/5000][525/535][165729] Loss_D: -0.018056 Loss_G: -0.006977 Loss_D_real: 0.001121 Loss_D_fake 0.019177
[1605/5000][530/535][165730] Loss_D: -0.019392 Loss_G: 0.022482 Loss_D_real: -0.015138 Loss_D_fake 0.004254
[1605/5000][535/535][165731] Loss_D: -0.018883 Loss_G: -0.020454 Loss_D_real: -0.026541 Loss_D_fake -0.007657
[1606/5000][5/535][165732] Loss_D: -0.019225 Loss_G: 0.024542 Loss_D_real: -0.021005 Loss_D_fake -0.001780
[1606/5000][10/535][165733] Loss_D: -0.018001 Loss_G: 0.001452 Loss_D_real: -0.004544 Loss_D_fake 0.013457
[1606/5000][15/535][165734] Loss_D: -0.019493 Loss_G: 0.014803 Loss_D_real: -0.017466 Loss_D_fake 0.002027
[1606/5000][20/535][165735] Loss_D: -0.019315 Loss_G: -0.017524 Loss_D_real: -0.009634 Loss_D_fake 0.009681
[1606/5000][25/535][165736] Loss_D: -0.018914 Loss_G: 0.005551 Loss_D_real: -0.018999 Loss_D_fake -0.000085
[1606/5000][30/535][165737] Loss_D: -0.018068 Loss_G: -0.005256 Loss_D_real: -0.009552 Loss_D_fake 0.008516
[1606/5000][35/535][165738] Loss_D: -0.019879 Loss_G: 0.012862 Loss_D_real: -0.020564 Loss_D_fake -0.000685
[1606/5000][40/535][165739] Loss_D: -0.019734 Loss_G: 0.002055 Loss_D_real: -0.012536 Loss_D_fake 0.007198
[1606/5000][45/535][165740] Loss_D: -0.018864 Loss_G: -0.002308 Loss_D_real: -0.017792 Loss_D_fake 0.001072
[1606/5000][50/535][165741] Loss_D: -0.019544 Loss_G: -0.010903 Loss_D_real: -0.011652 Loss_D_fake 0.007892
[1606/5000][55/535][165742] Loss_D: -0.018951 Loss_G: 0.008279 Loss_D_real: -0.015184 Loss_D_fake 0.003768
[1606/5000][60/535][165743] Loss_D: -0.017784 Loss_G: -0.019102 Loss_D_real: -0.001552 Loss_D_fake 0.016232
[1606/5000][65/535][165744] Loss_D: -0.020151 Loss_G: 0.000965 Loss_D_real: -0.009324 Loss_D_fake 0.010827
[1606/5000][70/535][165745] Loss_D: -0.019221 Loss_G: 0.019601 Loss_D_real: -0.018260 Loss_D_fake 0.000961
[1606/5000][75/535][165746] Loss_D: -0.018509 Loss_G: 0.003291 Loss_D_real: -0.016919 Loss_D_fake 0.001590
[1606/5000][80/535][165747] Loss_D: -0.018960 Loss_G: 0.004606 Loss_D_real: -0.010767 Loss_D_fake 0.008192
[1606/5000][85/535][165748] Loss_D: -0.018525 Loss_G: 0.021770 Loss_D_real: -0.039103 Loss_D_fake -0.020578
[1606/5000][90/535][165749] Loss_D: -0.020179 Loss_G: 0.015215 Loss_D_real: -0.013570 Loss_D_fake 0.006609
[1606/5000][95/535][165750] Loss_D: -0.018993 Loss_G: -0.006893 Loss_D_real: -0.013974 Loss_D_fake 0.005019
[1606/5000][100/535][165751] Loss_D: -0.018797 Loss_G: 0.006773 Loss_D_real: -0.011602 Loss_D_fake 0.007195
[1606/5000][105/535][165752] Loss_D: -0.019281 Loss_G: 0.017979 Loss_D_real: -0.017245 Loss_D_fake 0.002037
[1606/5000][110/535][165753] Loss_D: -0.019284 Loss_G: 0.012691 Loss_D_real: -0.009187 Loss_D_fake 0.010097
[1606/5000][115/535][165754] Loss_D: -0.018104 Loss_G: -0.011924 Loss_D_real: 0.004363 Loss_D_fake 0.022467
[1606/5000][120/535][165755] Loss_D: -0.019533 Loss_G: 0.001665 Loss_D_real: -0.026065 Loss_D_fake -0.006532
[1606/5000][125/535][165756] Loss_D: -0.019269 Loss_G: 0.002710 Loss_D_real: 0.006006 Loss_D_fake 0.025276
[1606/5000][130/535][165757] Loss_D: -0.018960 Loss_G: 0.004936 Loss_D_real: -0.017493 Loss_D_fake 0.001467
[1606/5000][135/535][165758] Loss_D: -0.017702 Loss_G: 0.022668 Loss_D_real: -0.037033 Loss_D_fake -0.019331
[1606/5000][140/535][165759] Loss_D: -0.018917 Loss_G: 0.019600 Loss_D_real: -0.025051 Loss_D_fake -0.006135
[1606/5000][145/535][165760] Loss_D: -0.020086 Loss_G: -0.005380 Loss_D_real: -0.008580 Loss_D_fake 0.011506
[1606/5000][150/535][165761] Loss_D: -0.018796 Loss_G: -0.010597 Loss_D_real: -0.005841 Loss_D_fake 0.012955
[1606/5000][155/535][165762] Loss_D: -0.019169 Loss_G: 0.012331 Loss_D_real: -0.013308 Loss_D_fake 0.005861
[1606/5000][160/535][165763] Loss_D: -0.018701 Loss_G: 0.014454 Loss_D_real: -0.020096 Loss_D_fake -0.001394
[1606/5000][165/535][165764] Loss_D: -0.020517 Loss_G: 0.010524 Loss_D_real: -0.011202 Loss_D_fake 0.009316
[1606/5000][170/535][165765] Loss_D: -0.019588 Loss_G: -0.005040 Loss_D_real: -0.007388 Loss_D_fake 0.012200
[1606/5000][175/535][165766] Loss_D: -0.019008 Loss_G: 0.011212 Loss_D_real: -0.020568 Loss_D_fake -0.001560
[1606/5000][180/535][165767] Loss_D: -0.018366 Loss_G: 0.028202 Loss_D_real: -0.025581 Loss_D_fake -0.007216
[1606/5000][185/535][165768] Loss_D: -0.018178 Loss_G: -0.007916 Loss_D_real: 0.000383 Loss_D_fake 0.018561
[1606/5000][190/535][165769] Loss_D: -0.018627 Loss_G: 0.003820 Loss_D_real: -0.026109 Loss_D_fake -0.007482
[1606/5000][195/535][165770] Loss_D: -0.019625 Loss_G: 0.007082 Loss_D_real: -0.029340 Loss_D_fake -0.009715
[1606/5000][200/535][165771] Loss_D: -0.016864 Loss_G: 0.001952 Loss_D_real: -0.021042 Loss_D_fake -0.004178
[1606/5000][205/535][165772] Loss_D: -0.018982 Loss_G: 0.010982 Loss_D_real: -0.020053 Loss_D_fake -0.001072
[1606/5000][210/535][165773] Loss_D: -0.019846 Loss_G: 0.015240 Loss_D_real: -0.010595 Loss_D_fake 0.009251
[1606/5000][215/535][165774] Loss_D: -0.016773 Loss_G: 0.030136 Loss_D_real: -0.031795 Loss_D_fake -0.015022
[1606/5000][220/535][165775] Loss_D: -0.019265 Loss_G: 0.006359 Loss_D_real: -0.018002 Loss_D_fake 0.001263
[1606/5000][225/535][165776] Loss_D: -0.019357 Loss_G: 0.025750 Loss_D_real: -0.014787 Loss_D_fake 0.004570
[1606/5000][230/535][165777] Loss_D: -0.017108 Loss_G: -0.018529 Loss_D_real: -0.002510 Loss_D_fake 0.014598
[1606/5000][235/535][165778] Loss_D: -0.018780 Loss_G: 0.025647 Loss_D_real: -0.029872 Loss_D_fake -0.011093
[1606/5000][240/535][165779] Loss_D: -0.017633 Loss_G: 0.013553 Loss_D_real: -0.033409 Loss_D_fake -0.015776
[1606/5000][245/535][165780] Loss_D: -0.019486 Loss_G: 0.003257 Loss_D_real: -0.031691 Loss_D_fake -0.012204
[1606/5000][250/535][165781] Loss_D: -0.019537 Loss_G: 0.004620 Loss_D_real: -0.018634 Loss_D_fake 0.000903
[1606/5000][255/535][165782] Loss_D: -0.019151 Loss_G: -0.001928 Loss_D_real: -0.029359 Loss_D_fake -0.010208
[1606/5000][260/535][165783] Loss_D: -0.020344 Loss_G: -0.011075 Loss_D_real: -0.009049 Loss_D_fake 0.011295
[1606/5000][265/535][165784] Loss_D: -0.019825 Loss_G: 0.003452 Loss_D_real: -0.024111 Loss_D_fake -0.004287
[1606/5000][270/535][165785] Loss_D: -0.017738 Loss_G: -0.010447 Loss_D_real: 0.006059 Loss_D_fake 0.023797
[1606/5000][275/535][165786] Loss_D: -0.019588 Loss_G: 0.016729 Loss_D_real: -0.026774 Loss_D_fake -0.007186
[1606/5000][280/535][165787] Loss_D: -0.021081 Loss_G: 0.010357 Loss_D_real: -0.010824 Loss_D_fake 0.010257
[1606/5000][285/535][165788] Loss_D: -0.021134 Loss_G: 0.001530 Loss_D_real: -0.009405 Loss_D_fake 0.011729
[1606/5000][290/535][165789] Loss_D: -0.019574 Loss_G: -0.003352 Loss_D_real: -0.003601 Loss_D_fake 0.015973
[1606/5000][295/535][165790] Loss_D: -0.020014 Loss_G: 0.021027 Loss_D_real: -0.024525 Loss_D_fake -0.004510
[1606/5000][300/535][165791] Loss_D: -0.019082 Loss_G: -0.008863 Loss_D_real: 0.000608 Loss_D_fake 0.019691
[1606/5000][305/535][165792] Loss_D: -0.018905 Loss_G: 0.006842 Loss_D_real: -0.029943 Loss_D_fake -0.011038
[1606/5000][310/535][165793] Loss_D: -0.020096 Loss_G: 0.003058 Loss_D_real: -0.013950 Loss_D_fake 0.006146
[1606/5000][315/535][165794] Loss_D: -0.019500 Loss_G: -0.004529 Loss_D_real: -0.001079 Loss_D_fake 0.018421
[1606/5000][320/535][165795] Loss_D: -0.018333 Loss_G: 0.018079 Loss_D_real: -0.036189 Loss_D_fake -0.017856
[1606/5000][325/535][165796] Loss_D: -0.018639 Loss_G: 0.005830 Loss_D_real: -0.024707 Loss_D_fake -0.006068
[1606/5000][330/535][165797] Loss_D: -0.020329 Loss_G: 0.007542 Loss_D_real: -0.014478 Loss_D_fake 0.005851
[1606/5000][335/535][165798] Loss_D: -0.018946 Loss_G: 0.000166 Loss_D_real: -0.001903 Loss_D_fake 0.017043
[1606/5000][340/535][165799] Loss_D: -0.018663 Loss_G: 0.003421 Loss_D_real: -0.012114 Loss_D_fake 0.006549
[1606/5000][345/535][165800] Loss_D: -0.018249 Loss_G: -0.011510 Loss_D_real: -0.004095 Loss_D_fake 0.014154
[1606/5000][350/535][165801] Loss_D: -0.019930 Loss_G: 0.022565 Loss_D_real: -0.023293 Loss_D_fake -0.003363
[1606/5000][355/535][165802] Loss_D: -0.019078 Loss_G: -0.003586 Loss_D_real: -0.004438 Loss_D_fake 0.014640
[1606/5000][360/535][165803] Loss_D: -0.018344 Loss_G: 0.017973 Loss_D_real: -0.019913 Loss_D_fake -0.001569
[1606/5000][365/535][165804] Loss_D: -0.017794 Loss_G: 0.012361 Loss_D_real: -0.028288 Loss_D_fake -0.010494
[1606/5000][370/535][165805] Loss_D: -0.018315 Loss_G: 0.005799 Loss_D_real: -0.022583 Loss_D_fake -0.004268
[1606/5000][375/535][165806] Loss_D: -0.018753 Loss_G: 0.007370 Loss_D_real: -0.022571 Loss_D_fake -0.003818
[1606/5000][380/535][165807] Loss_D: -0.019411 Loss_G: -0.000378 Loss_D_real: -0.010090 Loss_D_fake 0.009322
[1606/5000][385/535][165808] Loss_D: -0.019763 Loss_G: -0.007823 Loss_D_real: -0.007975 Loss_D_fake 0.011788
[1606/5000][390/535][165809] Loss_D: -0.018724 Loss_G: 0.010285 Loss_D_real: -0.009797 Loss_D_fake 0.008927
[1606/5000][395/535][165810] Loss_D: -0.020120 Loss_G: 0.005045 Loss_D_real: -0.016945 Loss_D_fake 0.003175
[1606/5000][400/535][165811] Loss_D: -0.018409 Loss_G: 0.002636 Loss_D_real: -0.022593 Loss_D_fake -0.004184
[1606/5000][405/535][165812] Loss_D: -0.018863 Loss_G: 0.021205 Loss_D_real: -0.026237 Loss_D_fake -0.007374
[1606/5000][410/535][165813] Loss_D: -0.018697 Loss_G: 0.008781 Loss_D_real: -0.028867 Loss_D_fake -0.010170
[1606/5000][415/535][165814] Loss_D: -0.020170 Loss_G: 0.002920 Loss_D_real: -0.017300 Loss_D_fake 0.002869
[1606/5000][420/535][165815] Loss_D: -0.018623 Loss_G: -0.003591 Loss_D_real: 0.004716 Loss_D_fake 0.023339
[1606/5000][425/535][165816] Loss_D: -0.019690 Loss_G: 0.012470 Loss_D_real: -0.024659 Loss_D_fake -0.004970
[1606/5000][430/535][165817] Loss_D: -0.019816 Loss_G: -0.001879 Loss_D_real: -0.007158 Loss_D_fake 0.012658
[1606/5000][435/535][165818] Loss_D: -0.017880 Loss_G: 0.024890 Loss_D_real: -0.029415 Loss_D_fake -0.011535
[1606/5000][440/535][165819] Loss_D: -0.019617 Loss_G: -0.004133 Loss_D_real: -0.011673 Loss_D_fake 0.007945
[1606/5000][445/535][165820] Loss_D: -0.018918 Loss_G: -0.004640 Loss_D_real: -0.011664 Loss_D_fake 0.007253
[1606/5000][450/535][165821] Loss_D: -0.018906 Loss_G: -0.000822 Loss_D_real: -0.017988 Loss_D_fake 0.000918
[1606/5000][455/535][165822] Loss_D: -0.020566 Loss_G: 0.030542 Loss_D_real: -0.019151 Loss_D_fake 0.001415
[1606/5000][460/535][165823] Loss_D: -0.018589 Loss_G: 0.006607 Loss_D_real: -0.019659 Loss_D_fake -0.001070
[1606/5000][465/535][165824] Loss_D: -0.016429 Loss_G: 0.017087 Loss_D_real: -0.035205 Loss_D_fake -0.018776
[1606/5000][470/535][165825] Loss_D: -0.019392 Loss_G: 0.019070 Loss_D_real: -0.026501 Loss_D_fake -0.007109
[1606/5000][475/535][165826] Loss_D: -0.019393 Loss_G: 0.012525 Loss_D_real: -0.019973 Loss_D_fake -0.000579
[1606/5000][480/535][165827] Loss_D: -0.017459 Loss_G: -0.000682 Loss_D_real: -0.032502 Loss_D_fake -0.015043
[1606/5000][485/535][165828] Loss_D: -0.018095 Loss_G: 0.011372 Loss_D_real: -0.023957 Loss_D_fake -0.005862
[1606/5000][490/535][165829] Loss_D: -0.019546 Loss_G: -0.002147 Loss_D_real: -0.022680 Loss_D_fake -0.003134
[1606/5000][495/535][165830] Loss_D: -0.019064 Loss_G: 0.022302 Loss_D_real: -0.019571 Loss_D_fake -0.000507
[1606/5000][500/535][165831] Loss_D: -0.019148 Loss_G: 0.001470 Loss_D_real: -0.019327 Loss_D_fake -0.000179
[1606/5000][505/535][165832] Loss_D: -0.018461 Loss_G: -0.000578 Loss_D_real: -0.020138 Loss_D_fake -0.001677
[1606/5000][510/535][165833] Loss_D: -0.019108 Loss_G: 0.007970 Loss_D_real: -0.006549 Loss_D_fake 0.012559
[1606/5000][515/535][165834] Loss_D: -0.016797 Loss_G: -0.032334 Loss_D_real: -0.004853 Loss_D_fake 0.011945
[1606/5000][520/535][165835] Loss_D: -0.018540 Loss_G: 0.008816 Loss_D_real: -0.019188 Loss_D_fake -0.000648
[1606/5000][525/535][165836] Loss_D: -0.019011 Loss_G: 0.006429 Loss_D_real: -0.008698 Loss_D_fake 0.010313
[1606/5000][530/535][165837] Loss_D: -0.020310 Loss_G: 0.002035 Loss_D_real: -0.012264 Loss_D_fake 0.008045
[1606/5000][535/535][165838] Loss_D: -0.018885 Loss_G: 0.023258 Loss_D_real: -0.036448 Loss_D_fake -0.017562
[1607/5000][5/535][165839] Loss_D: -0.020528 Loss_G: 0.010806 Loss_D_real: -0.022843 Loss_D_fake -0.002316
[1607/5000][10/535][165840] Loss_D: -0.018830 Loss_G: 0.013693 Loss_D_real: -0.015985 Loss_D_fake 0.002845
[1607/5000][15/535][165841] Loss_D: -0.020087 Loss_G: -0.000536 Loss_D_real: -0.007870 Loss_D_fake 0.012217
[1607/5000][20/535][165842] Loss_D: -0.018827 Loss_G: 0.010599 Loss_D_real: -0.005481 Loss_D_fake 0.013346
[1607/5000][25/535][165843] Loss_D: -0.019580 Loss_G: 0.010616 Loss_D_real: -0.020355 Loss_D_fake -0.000775
[1607/5000][30/535][165844] Loss_D: -0.020265 Loss_G: 0.010646 Loss_D_real: -0.024733 Loss_D_fake -0.004468
[1607/5000][35/535][165845] Loss_D: -0.020066 Loss_G: -0.000368 Loss_D_real: -0.021923 Loss_D_fake -0.001857
[1607/5000][40/535][165846] Loss_D: -0.018578 Loss_G: -0.014278 Loss_D_real: -0.012542 Loss_D_fake 0.006035
[1607/5000][45/535][165847] Loss_D: -0.019184 Loss_G: 0.004567 Loss_D_real: -0.019997 Loss_D_fake -0.000814
[1607/5000][50/535][165848] Loss_D: -0.019665 Loss_G: 0.001634 Loss_D_real: -0.001145 Loss_D_fake 0.018521
[1607/5000][55/535][165849] Loss_D: -0.018803 Loss_G: 0.016582 Loss_D_real: -0.025576 Loss_D_fake -0.006773
[1607/5000][60/535][165850] Loss_D: -0.018001 Loss_G: -0.021439 Loss_D_real: 0.001977 Loss_D_fake 0.019978
[1607/5000][65/535][165851] Loss_D: -0.018846 Loss_G: 0.009210 Loss_D_real: -0.019593 Loss_D_fake -0.000747
[1607/5000][70/535][165852] Loss_D: -0.019554 Loss_G: 0.006760 Loss_D_real: -0.014684 Loss_D_fake 0.004870
[1607/5000][75/535][165853] Loss_D: -0.018034 Loss_G: 0.016958 Loss_D_real: -0.034083 Loss_D_fake -0.016049
[1607/5000][80/535][165854] Loss_D: -0.018109 Loss_G: 0.008031 Loss_D_real: -0.008514 Loss_D_fake 0.009595
[1607/5000][85/535][165855] Loss_D: -0.019352 Loss_G: 0.012814 Loss_D_real: -0.017738 Loss_D_fake 0.001614
[1607/5000][90/535][165856] Loss_D: -0.019674 Loss_G: 0.008406 Loss_D_real: -0.022614 Loss_D_fake -0.002940
[1607/5000][95/535][165857] Loss_D: -0.018952 Loss_G: -0.015804 Loss_D_real: -0.002168 Loss_D_fake 0.016784
[1607/5000][100/535][165858] Loss_D: -0.018726 Loss_G: -0.007594 Loss_D_real: -0.005060 Loss_D_fake 0.013666
[1607/5000][105/535][165859] Loss_D: -0.019691 Loss_G: 0.026715 Loss_D_real: -0.016257 Loss_D_fake 0.003435
[1607/5000][110/535][165860] Loss_D: -0.019319 Loss_G: -0.001979 Loss_D_real: -0.006791 Loss_D_fake 0.012528
[1607/5000][115/535][165861] Loss_D: -0.020546 Loss_G: -0.009233 Loss_D_real: -0.019121 Loss_D_fake 0.001426
[1607/5000][120/535][165862] Loss_D: -0.018702 Loss_G: 0.022842 Loss_D_real: -0.020977 Loss_D_fake -0.002276
[1607/5000][125/535][165863] Loss_D: -0.018619 Loss_G: 0.016000 Loss_D_real: -0.021681 Loss_D_fake -0.003062
[1607/5000][130/535][165864] Loss_D: -0.019152 Loss_G: 0.014558 Loss_D_real: -0.021213 Loss_D_fake -0.002062
[1607/5000][135/535][165865] Loss_D: -0.019138 Loss_G: -0.006936 Loss_D_real: -0.010612 Loss_D_fake 0.008526
[1607/5000][140/535][165866] Loss_D: -0.017711 Loss_G: 0.018347 Loss_D_real: -0.026041 Loss_D_fake -0.008330
[1607/5000][145/535][165867] Loss_D: -0.019458 Loss_G: 0.012837 Loss_D_real: -0.023670 Loss_D_fake -0.004213
[1607/5000][150/535][165868] Loss_D: -0.020016 Loss_G: -0.003078 Loss_D_real: -0.010874 Loss_D_fake 0.009142
[1607/5000][155/535][165869] Loss_D: -0.019042 Loss_G: 0.002634 Loss_D_real: -0.004377 Loss_D_fake 0.014665
[1607/5000][160/535][165870] Loss_D: -0.020347 Loss_G: -0.001051 Loss_D_real: -0.021857 Loss_D_fake -0.001510
[1607/5000][165/535][165871] Loss_D: -0.018215 Loss_G: -0.006554 Loss_D_real: -0.005092 Loss_D_fake 0.013123
[1607/5000][170/535][165872] Loss_D: -0.019936 Loss_G: -0.000554 Loss_D_real: -0.009373 Loss_D_fake 0.010563
[1607/5000][175/535][165873] Loss_D: -0.019252 Loss_G: 0.009045 Loss_D_real: -0.023834 Loss_D_fake -0.004582
[1607/5000][180/535][165874] Loss_D: -0.019085 Loss_G: -0.019264 Loss_D_real: -0.013278 Loss_D_fake 0.005807
[1607/5000][185/535][165875] Loss_D: -0.018866 Loss_G: 0.017719 Loss_D_real: -0.013786 Loss_D_fake 0.005081
[1607/5000][190/535][165876] Loss_D: -0.019217 Loss_G: 0.021423 Loss_D_real: -0.012035 Loss_D_fake 0.007182
[1607/5000][195/535][165877] Loss_D: -0.018537 Loss_G: 0.002769 Loss_D_real: -0.015152 Loss_D_fake 0.003385
[1607/5000][200/535][165878] Loss_D: -0.017967 Loss_G: 0.011599 Loss_D_real: -0.028028 Loss_D_fake -0.010061
[1607/5000][205/535][165879] Loss_D: -0.018205 Loss_G: 0.028112 Loss_D_real: -0.024492 Loss_D_fake -0.006287
[1607/5000][210/535][165880] Loss_D: -0.019237 Loss_G: -0.006581 Loss_D_real: -0.016430 Loss_D_fake 0.002807
[1607/5000][215/535][165881] Loss_D: -0.018131 Loss_G: 0.010723 Loss_D_real: -0.025793 Loss_D_fake -0.007662
[1607/5000][220/535][165882] Loss_D: -0.019577 Loss_G: 0.003367 Loss_D_real: -0.001975 Loss_D_fake 0.017601
[1607/5000][225/535][165883] Loss_D: -0.018215 Loss_G: 0.001024 Loss_D_real: -0.002640 Loss_D_fake 0.015575
[1607/5000][230/535][165884] Loss_D: -0.018887 Loss_G: 0.006494 Loss_D_real: -0.019693 Loss_D_fake -0.000806
[1607/5000][235/535][165885] Loss_D: -0.017961 Loss_G: 0.012534 Loss_D_real: -0.037276 Loss_D_fake -0.019315
[1607/5000][240/535][165886] Loss_D: -0.018736 Loss_G: 0.019945 Loss_D_real: -0.022959 Loss_D_fake -0.004224
[1607/5000][245/535][165887] Loss_D: -0.018429 Loss_G: 0.015737 Loss_D_real: -0.032278 Loss_D_fake -0.013849
[1607/5000][250/535][165888] Loss_D: -0.020311 Loss_G: 0.028128 Loss_D_real: -0.025669 Loss_D_fake -0.005358
[1607/5000][255/535][165889] Loss_D: -0.019622 Loss_G: 0.018941 Loss_D_real: -0.026756 Loss_D_fake -0.007135
[1607/5000][260/535][165890] Loss_D: -0.020253 Loss_G: 0.008500 Loss_D_real: -0.014611 Loss_D_fake 0.005642
[1607/5000][265/535][165891] Loss_D: -0.020695 Loss_G: 0.006965 Loss_D_real: -0.019233 Loss_D_fake 0.001462
[1607/5000][270/535][165892] Loss_D: -0.019258 Loss_G: -0.000237 Loss_D_real: -0.001423 Loss_D_fake 0.017835
[1607/5000][275/535][165893] Loss_D: -0.019142 Loss_G: -0.001482 Loss_D_real: 0.003561 Loss_D_fake 0.022703
[1607/5000][280/535][165894] Loss_D: -0.019420 Loss_G: 0.019768 Loss_D_real: -0.017218 Loss_D_fake 0.002203
[1607/5000][285/535][165895] Loss_D: -0.020298 Loss_G: 0.014820 Loss_D_real: -0.023693 Loss_D_fake -0.003395
[1607/5000][290/535][165896] Loss_D: -0.019765 Loss_G: -0.009329 Loss_D_real: -0.008935 Loss_D_fake 0.010830
[1607/5000][295/535][165897] Loss_D: -0.019754 Loss_G: 0.005551 Loss_D_real: -0.017519 Loss_D_fake 0.002235
[1607/5000][300/535][165898] Loss_D: -0.018667 Loss_G: -0.006102 Loss_D_real: -0.008698 Loss_D_fake 0.009968
[1607/5000][305/535][165899] Loss_D: -0.019354 Loss_G: -0.005262 Loss_D_real: -0.004472 Loss_D_fake 0.014883
[1607/5000][310/535][165900] Loss_D: -0.018738 Loss_G: 0.004399 Loss_D_real: -0.021651 Loss_D_fake -0.002913
[1607/5000][315/535][165901] Loss_D: -0.018568 Loss_G: 0.016108 Loss_D_real: -0.026375 Loss_D_fake -0.007807
[1607/5000][320/535][165902] Loss_D: -0.018724 Loss_G: -0.012529 Loss_D_real: 0.006754 Loss_D_fake 0.025478
[1607/5000][325/535][165903] Loss_D: -0.018397 Loss_G: 0.030329 Loss_D_real: -0.021509 Loss_D_fake -0.003112
[1607/5000][330/535][165904] Loss_D: -0.019176 Loss_G: -0.001864 Loss_D_real: -0.030517 Loss_D_fake -0.011341
[1607/5000][335/535][165905] Loss_D: -0.018860 Loss_G: 0.017498 Loss_D_real: -0.027947 Loss_D_fake -0.009088
[1607/5000][340/535][165906] Loss_D: -0.019416 Loss_G: -0.006476 Loss_D_real: -0.005359 Loss_D_fake 0.014057
[1607/5000][345/535][165907] Loss_D: -0.018143 Loss_G: 0.016929 Loss_D_real: -0.021033 Loss_D_fake -0.002890
[1607/5000][350/535][165908] Loss_D: -0.018931 Loss_G: 0.001457 Loss_D_real: -0.010399 Loss_D_fake 0.008532
[1607/5000][355/535][165909] Loss_D: -0.018256 Loss_G: 0.014290 Loss_D_real: -0.027852 Loss_D_fake -0.009596
[1607/5000][360/535][165910] Loss_D: -0.018519 Loss_G: 0.021905 Loss_D_real: -0.030594 Loss_D_fake -0.012075
[1607/5000][365/535][165911] Loss_D: -0.019062 Loss_G: -0.008037 Loss_D_real: -0.011478 Loss_D_fake 0.007584
[1607/5000][370/535][165912] Loss_D: -0.019973 Loss_G: 0.000100 Loss_D_real: -0.014491 Loss_D_fake 0.005482
[1607/5000][375/535][165913] Loss_D: -0.018759 Loss_G: 0.023341 Loss_D_real: -0.030389 Loss_D_fake -0.011630
[1607/5000][380/535][165914] Loss_D: -0.018778 Loss_G: 0.009612 Loss_D_real: -0.017255 Loss_D_fake 0.001523
[1607/5000][385/535][165915] Loss_D: -0.019498 Loss_G: 0.000615 Loss_D_real: -0.020535 Loss_D_fake -0.001037
[1607/5000][390/535][165916] Loss_D: -0.018342 Loss_G: 0.000058 Loss_D_real: -0.015178 Loss_D_fake 0.003164
[1607/5000][395/535][165917] Loss_D: -0.019604 Loss_G: 0.013131 Loss_D_real: -0.012245 Loss_D_fake 0.007359
[1607/5000][400/535][165918] Loss_D: -0.016861 Loss_G: -0.007953 Loss_D_real: -0.000662 Loss_D_fake 0.016199
[1607/5000][405/535][165919] Loss_D: -0.017686 Loss_G: -0.009629 Loss_D_real: 0.007060 Loss_D_fake 0.024745
[1607/5000][410/535][165920] Loss_D: -0.016465 Loss_G: 0.013524 Loss_D_real: -0.028564 Loss_D_fake -0.012099
[1607/5000][415/535][165921] Loss_D: -0.018693 Loss_G: 0.013276 Loss_D_real: -0.025421 Loss_D_fake -0.006728
[1607/5000][420/535][165922] Loss_D: -0.020239 Loss_G: 0.002095 Loss_D_real: -0.019514 Loss_D_fake 0.000725
[1607/5000][425/535][165923] Loss_D: -0.019674 Loss_G: 0.005365 Loss_D_real: -0.013857 Loss_D_fake 0.005816
[1607/5000][430/535][165924] Loss_D: -0.019928 Loss_G: 0.011439 Loss_D_real: -0.025532 Loss_D_fake -0.005604
[1607/5000][435/535][165925] Loss_D: -0.020502 Loss_G: -0.010764 Loss_D_real: -0.011542 Loss_D_fake 0.008960
[1607/5000][440/535][165926] Loss_D: -0.019721 Loss_G: 0.001687 Loss_D_real: -0.005394 Loss_D_fake 0.014327
[1607/5000][445/535][165927] Loss_D: -0.018302 Loss_G: 0.029737 Loss_D_real: -0.027031 Loss_D_fake -0.008729
[1607/5000][450/535][165928] Loss_D: -0.018085 Loss_G: 0.020653 Loss_D_real: -0.018273 Loss_D_fake -0.000188
[1607/5000][455/535][165929] Loss_D: -0.018194 Loss_G: 0.012076 Loss_D_real: -0.014948 Loss_D_fake 0.003246
[1607/5000][460/535][165930] Loss_D: -0.018979 Loss_G: 0.010409 Loss_D_real: -0.015400 Loss_D_fake 0.003579
[1607/5000][465/535][165931] Loss_D: -0.018312 Loss_G: 0.015284 Loss_D_real: -0.023027 Loss_D_fake -0.004715
[1607/5000][470/535][165932] Loss_D: -0.020450 Loss_G: -0.017228 Loss_D_real: -0.009163 Loss_D_fake 0.011287
[1607/5000][475/535][165933] Loss_D: -0.018455 Loss_G: 0.002634 Loss_D_real: -0.011843 Loss_D_fake 0.006612
[1607/5000][480/535][165934] Loss_D: -0.019019 Loss_G: 0.021877 Loss_D_real: -0.032971 Loss_D_fake -0.013952
[1607/5000][485/535][165935] Loss_D: -0.019089 Loss_G: 0.022759 Loss_D_real: -0.016300 Loss_D_fake 0.002789
[1607/5000][490/535][165936] Loss_D: -0.020702 Loss_G: -0.000991 Loss_D_real: -0.014131 Loss_D_fake 0.006572
[1607/5000][495/535][165937] Loss_D: -0.018380 Loss_G: 0.006444 Loss_D_real: -0.012189 Loss_D_fake 0.006191
[1607/5000][500/535][165938] Loss_D: -0.018203 Loss_G: 0.029990 Loss_D_real: -0.024677 Loss_D_fake -0.006475
[1607/5000][505/535][165939] Loss_D: -0.018581 Loss_G: -0.003768 Loss_D_real: -0.011030 Loss_D_fake 0.007551
[1607/5000][510/535][165940] Loss_D: -0.019790 Loss_G: 0.017792 Loss_D_real: -0.016995 Loss_D_fake 0.002794
[1607/5000][515/535][165941] Loss_D: -0.019460 Loss_G: 0.017073 Loss_D_real: -0.019726 Loss_D_fake -0.000265
[1607/5000][520/535][165942] Loss_D: -0.019890 Loss_G: 0.013036 Loss_D_real: -0.026182 Loss_D_fake -0.006292
[1607/5000][525/535][165943] Loss_D: -0.019664 Loss_G: -0.007391 Loss_D_real: -0.010311 Loss_D_fake 0.009353
[1607/5000][530/535][165944] Loss_D: -0.019214 Loss_G: 0.008251 Loss_D_real: -0.022830 Loss_D_fake -0.003616
[1607/5000][535/535][165945] Loss_D: -0.017764 Loss_G: 0.034816 Loss_D_real: -0.026021 Loss_D_fake -0.008256
[1608/5000][5/535][165946] Loss_D: -0.020620 Loss_G: 0.003364 Loss_D_real: -0.017044 Loss_D_fake 0.003577
[1608/5000][10/535][165947] Loss_D: -0.019288 Loss_G: 0.004590 Loss_D_real: -0.025422 Loss_D_fake -0.006134
[1608/5000][15/535][165948] Loss_D: -0.019273 Loss_G: -0.000185 Loss_D_real: -0.003683 Loss_D_fake 0.015590
[1608/5000][20/535][165949] Loss_D: -0.019077 Loss_G: -0.007603 Loss_D_real: -0.004941 Loss_D_fake 0.014136
[1608/5000][25/535][165950] Loss_D: -0.018837 Loss_G: 0.000783 Loss_D_real: -0.009411 Loss_D_fake 0.009426
[1608/5000][30/535][165951] Loss_D: -0.020800 Loss_G: 0.008399 Loss_D_real: -0.011410 Loss_D_fake 0.009390
[1608/5000][35/535][165952] Loss_D: -0.020399 Loss_G: 0.005297 Loss_D_real: -0.009830 Loss_D_fake 0.010569
[1608/5000][40/535][165953] Loss_D: -0.019279 Loss_G: 0.009687 Loss_D_real: -0.019946 Loss_D_fake -0.000666
[1608/5000][45/535][165954] Loss_D: -0.020045 Loss_G: -0.003902 Loss_D_real: -0.002108 Loss_D_fake 0.017938
[1608/5000][50/535][165955] Loss_D: -0.018574 Loss_G: -0.000191 Loss_D_real: -0.013338 Loss_D_fake 0.005235
[1608/5000][55/535][165956] Loss_D: -0.018112 Loss_G: 0.017968 Loss_D_real: -0.025430 Loss_D_fake -0.007318
[1608/5000][60/535][165957] Loss_D: -0.019497 Loss_G: 0.010138 Loss_D_real: -0.009350 Loss_D_fake 0.010147
[1608/5000][65/535][165958] Loss_D: -0.020819 Loss_G: 0.001705 Loss_D_real: -0.007018 Loss_D_fake 0.013800
[1608/5000][70/535][165959] Loss_D: -0.019418 Loss_G: 0.006146 Loss_D_real: -0.014994 Loss_D_fake 0.004425
[1608/5000][75/535][165960] Loss_D: -0.018246 Loss_G: 0.010211 Loss_D_real: -0.010546 Loss_D_fake 0.007701
[1608/5000][80/535][165961] Loss_D: -0.020529 Loss_G: 0.023322 Loss_D_real: -0.013346 Loss_D_fake 0.007183
[1608/5000][85/535][165962] Loss_D: -0.018561 Loss_G: -0.006559 Loss_D_real: 0.000532 Loss_D_fake 0.019093
[1608/5000][90/535][165963] Loss_D: -0.018522 Loss_G: -0.000384 Loss_D_real: -0.012221 Loss_D_fake 0.006301
[1608/5000][95/535][165964] Loss_D: -0.017405 Loss_G: 0.021470 Loss_D_real: -0.034162 Loss_D_fake -0.016757
[1608/5000][100/535][165965] Loss_D: -0.019175 Loss_G: -0.008151 Loss_D_real: -0.014984 Loss_D_fake 0.004191
[1608/5000][105/535][165966] Loss_D: -0.020181 Loss_G: -0.007729 Loss_D_real: -0.004232 Loss_D_fake 0.015948
[1608/5000][110/535][165967] Loss_D: -0.019631 Loss_G: 0.015867 Loss_D_real: -0.016411 Loss_D_fake 0.003220
[1608/5000][115/535][165968] Loss_D: -0.019327 Loss_G: -0.011276 Loss_D_real: -0.006025 Loss_D_fake 0.013302
[1608/5000][120/535][165969] Loss_D: -0.017197 Loss_G: -0.014943 Loss_D_real: -0.003499 Loss_D_fake 0.013698
[1608/5000][125/535][165970] Loss_D: -0.018655 Loss_G: 0.005546 Loss_D_real: -0.010179 Loss_D_fake 0.008476
[1608/5000][130/535][165971] Loss_D: -0.019459 Loss_G: 0.013667 Loss_D_real: -0.031178 Loss_D_fake -0.011719
[1608/5000][135/535][165972] Loss_D: -0.019424 Loss_G: -0.002193 Loss_D_real: 0.004811 Loss_D_fake 0.024236
[1608/5000][140/535][165973] Loss_D: -0.019676 Loss_G: -0.008134 Loss_D_real: -0.012176 Loss_D_fake 0.007500
[1608/5000][145/535][165974] Loss_D: -0.018910 Loss_G: 0.008260 Loss_D_real: -0.017759 Loss_D_fake 0.001151
[1608/5000][150/535][165975] Loss_D: -0.020087 Loss_G: 0.005598 Loss_D_real: -0.023232 Loss_D_fake -0.003145
[1608/5000][155/535][165976] Loss_D: -0.019960 Loss_G: 0.019261 Loss_D_real: -0.016810 Loss_D_fake 0.003150
[1608/5000][160/535][165977] Loss_D: -0.017938 Loss_G: 0.000933 Loss_D_real: -0.012586 Loss_D_fake 0.005352
[1608/5000][165/535][165978] Loss_D: -0.018529 Loss_G: 0.022180 Loss_D_real: -0.018838 Loss_D_fake -0.000309
[1608/5000][170/535][165979] Loss_D: -0.019907 Loss_G: 0.002543 Loss_D_real: -0.016478 Loss_D_fake 0.003429
[1608/5000][175/535][165980] Loss_D: -0.019831 Loss_G: -0.001070 Loss_D_real: -0.004986 Loss_D_fake 0.014845
[1608/5000][180/535][165981] Loss_D: -0.019815 Loss_G: -0.004530 Loss_D_real: -0.002644 Loss_D_fake 0.017171
[1608/5000][185/535][165982] Loss_D: -0.018424 Loss_G: -0.019885 Loss_D_real: -0.011359 Loss_D_fake 0.007066
[1608/5000][190/535][165983] Loss_D: -0.019964 Loss_G: -0.005788 Loss_D_real: 0.004196 Loss_D_fake 0.024160
[1608/5000][195/535][165984] Loss_D: -0.019899 Loss_G: 0.015121 Loss_D_real: -0.021153 Loss_D_fake -0.001254
[1608/5000][200/535][165985] Loss_D: -0.018692 Loss_G: -0.009633 Loss_D_real: -0.000604 Loss_D_fake 0.018088
[1608/5000][205/535][165986] Loss_D: -0.018729 Loss_G: 0.005652 Loss_D_real: -0.016058 Loss_D_fake 0.002671
[1608/5000][210/535][165987] Loss_D: -0.019775 Loss_G: 0.008526 Loss_D_real: -0.026544 Loss_D_fake -0.006769
[1608/5000][215/535][165988] Loss_D: -0.017859 Loss_G: 0.009407 Loss_D_real: -0.021980 Loss_D_fake -0.004121
[1608/5000][220/535][165989] Loss_D: -0.017826 Loss_G: -0.012203 Loss_D_real: 0.007423 Loss_D_fake 0.025249
[1608/5000][225/535][165990] Loss_D: -0.018961 Loss_G: -0.001016 Loss_D_real: -0.005711 Loss_D_fake 0.013250
[1608/5000][230/535][165991] Loss_D: -0.018645 Loss_G: 0.011065 Loss_D_real: -0.018627 Loss_D_fake 0.000018
[1608/5000][235/535][165992] Loss_D: -0.019096 Loss_G: 0.001159 Loss_D_real: -0.006419 Loss_D_fake 0.012677
[1608/5000][240/535][165993] Loss_D: -0.019162 Loss_G: 0.003812 Loss_D_real: -0.013518 Loss_D_fake 0.005644
[1608/5000][245/535][165994] Loss_D: -0.018178 Loss_G: 0.017310 Loss_D_real: -0.019516 Loss_D_fake -0.001338
[1608/5000][250/535][165995] Loss_D: -0.019309 Loss_G: 0.001910 Loss_D_real: -0.004709 Loss_D_fake 0.014600
[1608/5000][255/535][165996] Loss_D: -0.019894 Loss_G: 0.013239 Loss_D_real: -0.030078 Loss_D_fake -0.010184
[1608/5000][260/535][165997] Loss_D: -0.018141 Loss_G: 0.008929 Loss_D_real: -0.007889 Loss_D_fake 0.010252
[1608/5000][265/535][165998] Loss_D: -0.018320 Loss_G: -0.004329 Loss_D_real: -0.011970 Loss_D_fake 0.006350
[1608/5000][270/535][165999] Loss_D: -0.019184 Loss_G: 0.014798 Loss_D_real: -0.025163 Loss_D_fake -0.005979
[1608/5000][275/535][166000] Loss_D: -0.018795 Loss_G: 0.007937 Loss_D_real: -0.017360 Loss_D_fake 0.001434
[1608/5000][375/535][166001] Loss_D: -0.023468 Loss_G: 0.035581 Loss_D_real: -0.017344 Loss_D_fake 0.006124
[1608/5000][380/535][166002] Loss_D: -0.019266 Loss_G: 0.010657 Loss_D_real: -0.014892 Loss_D_fake 0.004374
[1608/5000][385/535][166003] Loss_D: -0.018265 Loss_G: 0.002772 Loss_D_real: -0.017099 Loss_D_fake 0.001166
[1608/5000][390/535][166004] Loss_D: -0.017949 Loss_G: 0.007814 Loss_D_real: -0.025363 Loss_D_fake -0.007414
[1608/5000][395/535][166005] Loss_D: -0.019042 Loss_G: 0.005629 Loss_D_real: -0.024586 Loss_D_fake -0.005543
[1608/5000][400/535][166006] Loss_D: -0.018579 Loss_G: -0.000114 Loss_D_real: -0.000484 Loss_D_fake 0.018095
[1608/5000][405/535][166007] Loss_D: -0.017986 Loss_G: 0.013592 Loss_D_real: -0.020496 Loss_D_fake -0.002510
[1608/5000][410/535][166008] Loss_D: -0.019249 Loss_G: 0.011306 Loss_D_real: -0.007668 Loss_D_fake 0.011581
[1608/5000][415/535][166009] Loss_D: -0.018323 Loss_G: 0.008224 Loss_D_real: -0.019144 Loss_D_fake -0.000821
[1608/5000][420/535][166010] Loss_D: -0.018666 Loss_G: 0.003161 Loss_D_real: -0.002842 Loss_D_fake 0.015824
[1608/5000][425/535][166011] Loss_D: -0.018160 Loss_G: 0.012348 Loss_D_real: -0.024453 Loss_D_fake -0.006292
[1608/5000][430/535][166012] Loss_D: -0.018820 Loss_G: 0.014021 Loss_D_real: -0.009800 Loss_D_fake 0.009020
[1608/5000][435/535][166013] Loss_D: -0.018827 Loss_G: 0.000732 Loss_D_real: -0.008111 Loss_D_fake 0.010717
[1608/5000][440/535][166014] Loss_D: -0.016715 Loss_G: 0.019657 Loss_D_real: -0.032501 Loss_D_fake -0.015786
[1608/5000][445/535][166015] Loss_D: -0.019817 Loss_G: -0.001567 Loss_D_real: -0.014331 Loss_D_fake 0.005486
[1608/5000][450/535][166016] Loss_D: -0.019433 Loss_G: 0.012001 Loss_D_real: -0.013448 Loss_D_fake 0.005985
[1608/5000][455/535][166017] Loss_D: -0.018523 Loss_G: -0.003981 Loss_D_real: -0.017542 Loss_D_fake 0.000981
[1608/5000][460/535][166018] Loss_D: -0.019130 Loss_G: -0.002397 Loss_D_real: 0.002469 Loss_D_fake 0.021599
[1608/5000][465/535][166019] Loss_D: -0.017842 Loss_G: 0.011704 Loss_D_real: -0.027502 Loss_D_fake -0.009660
[1608/5000][470/535][166020] Loss_D: -0.018547 Loss_G: 0.013606 Loss_D_real: -0.015481 Loss_D_fake 0.003066
[1608/5000][475/535][166021] Loss_D: -0.018246 Loss_G: 0.014713 Loss_D_real: -0.020088 Loss_D_fake -0.001842
[1608/5000][480/535][166022] Loss_D: -0.018309 Loss_G: 0.009626 Loss_D_real: -0.022869 Loss_D_fake -0.004560
[1608/5000][485/535][166023] Loss_D: -0.019374 Loss_G: 0.005139 Loss_D_real: -0.021380 Loss_D_fake -0.002006
[1608/5000][490/535][166024] Loss_D: -0.018688 Loss_G: 0.005123 Loss_D_real: -0.018834 Loss_D_fake -0.000147
[1608/5000][495/535][166025] Loss_D: -0.018600 Loss_G: -0.002969 Loss_D_real: -0.008594 Loss_D_fake 0.010006
[1608/5000][500/535][166026] Loss_D: -0.019043 Loss_G: -0.002937 Loss_D_real: -0.015941 Loss_D_fake 0.003102
[1608/5000][505/535][166027] Loss_D: -0.018510 Loss_G: 0.000463 Loss_D_real: -0.014427 Loss_D_fake 0.004083
[1608/5000][510/535][166028] Loss_D: -0.018733 Loss_G: 0.004914 Loss_D_real: -0.028864 Loss_D_fake -0.010131
[1608/5000][515/535][166029] Loss_D: -0.018555 Loss_G: 0.019593 Loss_D_real: -0.014600 Loss_D_fake 0.003955
[1608/5000][520/535][166030] Loss_D: -0.018109 Loss_G: 0.031468 Loss_D_real: -0.029109 Loss_D_fake -0.011000
[1608/5000][525/535][166031] Loss_D: -0.019261 Loss_G: 0.030361 Loss_D_real: -0.022400 Loss_D_fake -0.003139
[1608/5000][530/535][166032] Loss_D: -0.019666 Loss_G: 0.005171 Loss_D_real: -0.012476 Loss_D_fake 0.007190
[1608/5000][535/535][166033] Loss_D: -0.020633 Loss_G: 0.006703 Loss_D_real: -0.021666 Loss_D_fake -0.001033
[1609/5000][5/535][166034] Loss_D: -0.018766 Loss_G: 0.012543 Loss_D_real: -0.015988 Loss_D_fake 0.002779
[1609/5000][10/535][166035] Loss_D: -0.019981 Loss_G: 0.003407 Loss_D_real: -0.022480 Loss_D_fake -0.002499
[1609/5000][15/535][166036] Loss_D: -0.019957 Loss_G: -0.012999 Loss_D_real: -0.006437 Loss_D_fake 0.013521
[1609/5000][20/535][166037] Loss_D: -0.018117 Loss_G: -0.018172 Loss_D_real: -0.005757 Loss_D_fake 0.012360
[1609/5000][25/535][166038] Loss_D: -0.018888 Loss_G: 0.006032 Loss_D_real: -0.002451 Loss_D_fake 0.016436
[1609/5000][30/535][166039] Loss_D: -0.018641 Loss_G: 0.020925 Loss_D_real: -0.024542 Loss_D_fake -0.005901
[1609/5000][35/535][166040] Loss_D: -0.018968 Loss_G: 0.012131 Loss_D_real: -0.019081 Loss_D_fake -0.000113
[1609/5000][40/535][166041] Loss_D: -0.019564 Loss_G: -0.003053 Loss_D_real: -0.004059 Loss_D_fake 0.015504
[1609/5000][45/535][166042] Loss_D: -0.019743 Loss_G: 0.014674 Loss_D_real: -0.032109 Loss_D_fake -0.012366
[1609/5000][50/535][166043] Loss_D: -0.019294 Loss_G: 0.017929 Loss_D_real: -0.027696 Loss_D_fake -0.008402
[1609/5000][55/535][166044] Loss_D: -0.019795 Loss_G: 0.014417 Loss_D_real: -0.021548 Loss_D_fake -0.001753
[1609/5000][60/535][166045] Loss_D: -0.020345 Loss_G: 0.027636 Loss_D_real: -0.027313 Loss_D_fake -0.006967
[1609/5000][65/535][166046] Loss_D: -0.020090 Loss_G: -0.002810 Loss_D_real: -0.005243 Loss_D_fake 0.014847
[1609/5000][70/535][166047] Loss_D: -0.019756 Loss_G: 0.009633 Loss_D_real: -0.011200 Loss_D_fake 0.008556
[1609/5000][75/535][166048] Loss_D: -0.019767 Loss_G: 0.006705 Loss_D_real: -0.016939 Loss_D_fake 0.002828
[1609/5000][80/535][166049] Loss_D: -0.018655 Loss_G: 0.024663 Loss_D_real: -0.031526 Loss_D_fake -0.012871
[1609/5000][85/535][166050] Loss_D: -0.020546 Loss_G: 0.000082 Loss_D_real: -0.009936 Loss_D_fake 0.010610
[1609/5000][90/535][166051] Loss_D: -0.019629 Loss_G: -0.001261 Loss_D_real: -0.003202 Loss_D_fake 0.016427
[1609/5000][95/535][166052] Loss_D: -0.019301 Loss_G: 0.002768 Loss_D_real: -0.008567 Loss_D_fake 0.010734
[1609/5000][100/535][166053] Loss_D: -0.017995 Loss_G: 0.030163 Loss_D_real: -0.030062 Loss_D_fake -0.012067
[1609/5000][105/535][166054] Loss_D: -0.019494 Loss_G: 0.020096 Loss_D_real: -0.031049 Loss_D_fake -0.011556
[1609/5000][110/535][166055] Loss_D: -0.018865 Loss_G: -0.003819 Loss_D_real: -0.000693 Loss_D_fake 0.018172
[1609/5000][115/535][166056] Loss_D: -0.019389 Loss_G: 0.002794 Loss_D_real: -0.018235 Loss_D_fake 0.001155
[1609/5000][120/535][166057] Loss_D: -0.019367 Loss_G: 0.000165 Loss_D_real: -0.017537 Loss_D_fake 0.001830
[1609/5000][125/535][166058] Loss_D: -0.019379 Loss_G: -0.000938 Loss_D_real: -0.015036 Loss_D_fake 0.004343
[1609/5000][130/535][166059] Loss_D: -0.018999 Loss_G: -0.015583 Loss_D_real: -0.003043 Loss_D_fake 0.015956
[1609/5000][135/535][166060] Loss_D: -0.017658 Loss_G: 0.021603 Loss_D_real: -0.041022 Loss_D_fake -0.023364
[1609/5000][140/535][166061] Loss_D: -0.017950 Loss_G: 0.007437 Loss_D_real: -0.020214 Loss_D_fake -0.002264
[1609/5000][145/535][166062] Loss_D: -0.018577 Loss_G: 0.004756 Loss_D_real: -0.025144 Loss_D_fake -0.006567
[1609/5000][150/535][166063] Loss_D: -0.019262 Loss_G: 0.012640 Loss_D_real: -0.017791 Loss_D_fake 0.001471
[1609/5000][155/535][166064] Loss_D: -0.018006 Loss_G: 0.026380 Loss_D_real: -0.021451 Loss_D_fake -0.003446
[1609/5000][160/535][166065] Loss_D: -0.020078 Loss_G: 0.000789 Loss_D_real: -0.014318 Loss_D_fake 0.005760
[1609/5000][165/535][166066] Loss_D: -0.018602 Loss_G: 0.005427 Loss_D_real: -0.012553 Loss_D_fake 0.006049
[1609/5000][170/535][166067] Loss_D: -0.017912 Loss_G: 0.008198 Loss_D_real: -0.008711 Loss_D_fake 0.009201
[1609/5000][175/535][166068] Loss_D: -0.019306 Loss_G: 0.014837 Loss_D_real: -0.027103 Loss_D_fake -0.007798
[1609/5000][180/535][166069] Loss_D: -0.019046 Loss_G: -0.002458 Loss_D_real: -0.010793 Loss_D_fake 0.008254
[1609/5000][185/535][166070] Loss_D: -0.018419 Loss_G: -0.001466 Loss_D_real: -0.013916 Loss_D_fake 0.004503
[1609/5000][190/535][166071] Loss_D: -0.018803 Loss_G: 0.002507 Loss_D_real: -0.007805 Loss_D_fake 0.010997
[1609/5000][195/535][166072] Loss_D: -0.020529 Loss_G: 0.006061 Loss_D_real: -0.001415 Loss_D_fake 0.019113
[1609/5000][200/535][166073] Loss_D: -0.019958 Loss_G: 0.004889 Loss_D_real: -0.015090 Loss_D_fake 0.004867
[1609/5000][205/535][166074] Loss_D: -0.020634 Loss_G: 0.029632 Loss_D_real: -0.018579 Loss_D_fake 0.002055
[1609/5000][210/535][166075] Loss_D: -0.018328 Loss_G: -0.000354 Loss_D_real: -0.009824 Loss_D_fake 0.008504
[1609/5000][215/535][166076] Loss_D: -0.019457 Loss_G: 0.003930 Loss_D_real: -0.010436 Loss_D_fake 0.009021
[1609/5000][220/535][166077] Loss_D: -0.019984 Loss_G: 0.004302 Loss_D_real: -0.006945 Loss_D_fake 0.013039
[1609/5000][225/535][166078] Loss_D: -0.018917 Loss_G: 0.001792 Loss_D_real: -0.015892 Loss_D_fake 0.003024
[1609/5000][230/535][166079] Loss_D: -0.020132 Loss_G: 0.011770 Loss_D_real: -0.015015 Loss_D_fake 0.005117
[1609/5000][235/535][166080] Loss_D: -0.018796 Loss_G: 0.011116 Loss_D_real: -0.019452 Loss_D_fake -0.000656
[1609/5000][240/535][166081] Loss_D: -0.017249 Loss_G: 0.007915 Loss_D_real: -0.014443 Loss_D_fake 0.002806
[1609/5000][245/535][166082] Loss_D: -0.018957 Loss_G: -0.000106 Loss_D_real: -0.023978 Loss_D_fake -0.005021
[1609/5000][250/535][166083] Loss_D: -0.018578 Loss_G: -0.016722 Loss_D_real: -0.005996 Loss_D_fake 0.012581
[1609/5000][255/535][166084] Loss_D: -0.019778 Loss_G: -0.003763 Loss_D_real: -0.017544 Loss_D_fake 0.002234
[1609/5000][260/535][166085] Loss_D: -0.016520 Loss_G: 0.032222 Loss_D_real: -0.034955 Loss_D_fake -0.018435
[1609/5000][265/535][166086] Loss_D: -0.020145 Loss_G: -0.007895 Loss_D_real: -0.021435 Loss_D_fake -0.001290
[1609/5000][270/535][166087] Loss_D: -0.019231 Loss_G: -0.002832 Loss_D_real: 0.002815 Loss_D_fake 0.022045
[1609/5000][275/535][166088] Loss_D: -0.019185 Loss_G: 0.003518 Loss_D_real: -0.012878 Loss_D_fake 0.006307
[1609/5000][280/535][166089] Loss_D: -0.019408 Loss_G: 0.015041 Loss_D_real: -0.026593 Loss_D_fake -0.007186
[1609/5000][285/535][166090] Loss_D: -0.018695 Loss_G: -0.000729 Loss_D_real: -0.007147 Loss_D_fake 0.011548
[1609/5000][290/535][166091] Loss_D: -0.020039 Loss_G: 0.026639 Loss_D_real: -0.021810 Loss_D_fake -0.001771
[1609/5000][295/535][166092] Loss_D: -0.018377 Loss_G: -0.016128 Loss_D_real: -0.004628 Loss_D_fake 0.013750
[1609/5000][300/535][166093] Loss_D: -0.018485 Loss_G: 0.009276 Loss_D_real: -0.016003 Loss_D_fake 0.002482
[1609/5000][305/535][166094] Loss_D: -0.019529 Loss_G: 0.006469 Loss_D_real: -0.018316 Loss_D_fake 0.001213
[1609/5000][310/535][166095] Loss_D: -0.018992 Loss_G: 0.023148 Loss_D_real: -0.021509 Loss_D_fake -0.002517
[1609/5000][315/535][166096] Loss_D: -0.019754 Loss_G: 0.002910 Loss_D_real: -0.023882 Loss_D_fake -0.004128
[1609/5000][320/535][166097] Loss_D: -0.020349 Loss_G: 0.012312 Loss_D_real: -0.019179 Loss_D_fake 0.001170
[1609/5000][325/535][166098] Loss_D: -0.018917 Loss_G: 0.015222 Loss_D_real: -0.022623 Loss_D_fake -0.003705
[1609/5000][330/535][166099] Loss_D: -0.019336 Loss_G: 0.025210 Loss_D_real: -0.030476 Loss_D_fake -0.011140
[1609/5000][335/535][166100] Loss_D: -0.019386 Loss_G: -0.006518 Loss_D_real: -0.007128 Loss_D_fake 0.012259
[1609/5000][340/535][166101] Loss_D: -0.019479 Loss_G: -0.002715 Loss_D_real: -0.018545 Loss_D_fake 0.000935
[1609/5000][345/535][166102] Loss_D: -0.018671 Loss_G: 0.018197 Loss_D_real: -0.022775 Loss_D_fake -0.004104
[1609/5000][350/535][166103] Loss_D: -0.018369 Loss_G: -0.006251 Loss_D_real: -0.008880 Loss_D_fake 0.009489
[1609/5000][355/535][166104] Loss_D: -0.019690 Loss_G: -0.013403 Loss_D_real: 0.000035 Loss_D_fake 0.019725
[1609/5000][360/535][166105] Loss_D: -0.018298 Loss_G: 0.006491 Loss_D_real: -0.023017 Loss_D_fake -0.004720
[1609/5000][365/535][166106] Loss_D: -0.020343 Loss_G: 0.011260 Loss_D_real: -0.013565 Loss_D_fake 0.006778
[1609/5000][370/535][166107] Loss_D: -0.018936 Loss_G: 0.005531 Loss_D_real: -0.015659 Loss_D_fake 0.003277
[1609/5000][375/535][166108] Loss_D: -0.018524 Loss_G: -0.006136 Loss_D_real: 0.006212 Loss_D_fake 0.024737
[1609/5000][380/535][166109] Loss_D: -0.018726 Loss_G: 0.030210 Loss_D_real: -0.024715 Loss_D_fake -0.005989
[1609/5000][385/535][166110] Loss_D: -0.019017 Loss_G: 0.015419 Loss_D_real: -0.027487 Loss_D_fake -0.008470
[1609/5000][390/535][166111] Loss_D: -0.019469 Loss_G: 0.019110 Loss_D_real: -0.019471 Loss_D_fake -0.000002
[1609/5000][395/535][166112] Loss_D: -0.019945 Loss_G: -0.010731 Loss_D_real: -0.009498 Loss_D_fake 0.010447
[1609/5000][400/535][166113] Loss_D: -0.018880 Loss_G: -0.002892 Loss_D_real: -0.018660 Loss_D_fake 0.000220
[1609/5000][405/535][166114] Loss_D: -0.019777 Loss_G: -0.000107 Loss_D_real: -0.015877 Loss_D_fake 0.003900
[1609/5000][410/535][166115] Loss_D: -0.018850 Loss_G: 0.020341 Loss_D_real: -0.019802 Loss_D_fake -0.000952
[1609/5000][415/535][166116] Loss_D: -0.018715 Loss_G: 0.014102 Loss_D_real: -0.029755 Loss_D_fake -0.011040
[1609/5000][420/535][166117] Loss_D: -0.018776 Loss_G: 0.017047 Loss_D_real: -0.024824 Loss_D_fake -0.006048
[1609/5000][425/535][166118] Loss_D: -0.019669 Loss_G: -0.004439 Loss_D_real: -0.012221 Loss_D_fake 0.007448
[1609/5000][430/535][166119] Loss_D: -0.020709 Loss_G: 0.015917 Loss_D_real: -0.012376 Loss_D_fake 0.008333
[1609/5000][435/535][166120] Loss_D: -0.018146 Loss_G: -0.014041 Loss_D_real: -0.016542 Loss_D_fake 0.001604
[1609/5000][440/535][166121] Loss_D: -0.015949 Loss_G: 0.024576 Loss_D_real: -0.025967 Loss_D_fake -0.010018
[1609/5000][445/535][166122] Loss_D: -0.017861 Loss_G: 0.014011 Loss_D_real: -0.011399 Loss_D_fake 0.006462
[1609/5000][450/535][166123] Loss_D: -0.020010 Loss_G: 0.006578 Loss_D_real: -0.009622 Loss_D_fake 0.010388
[1609/5000][455/535][166124] Loss_D: -0.018844 Loss_G: 0.016752 Loss_D_real: -0.019137 Loss_D_fake -0.000293
[1609/5000][460/535][166125] Loss_D: -0.018848 Loss_G: 0.022349 Loss_D_real: -0.027523 Loss_D_fake -0.008675
[1609/5000][465/535][166126] Loss_D: -0.018956 Loss_G: 0.011035 Loss_D_real: -0.029106 Loss_D_fake -0.010150
[1609/5000][470/535][166127] Loss_D: -0.019929 Loss_G: 0.008517 Loss_D_real: -0.017930 Loss_D_fake 0.002000
[1609/5000][475/535][166128] Loss_D: -0.018165 Loss_G: 0.009535 Loss_D_real: -0.025940 Loss_D_fake -0.007775
[1609/5000][480/535][166129] Loss_D: -0.019549 Loss_G: 0.013923 Loss_D_real: -0.024245 Loss_D_fake -0.004696
[1609/5000][485/535][166130] Loss_D: -0.018883 Loss_G: -0.016856 Loss_D_real: 0.000326 Loss_D_fake 0.019210
[1609/5000][490/535][166131] Loss_D: -0.017639 Loss_G: 0.019530 Loss_D_real: -0.027521 Loss_D_fake -0.009882
[1609/5000][495/535][166132] Loss_D: -0.017838 Loss_G: 0.008907 Loss_D_real: 0.000203 Loss_D_fake 0.018041
[1609/5000][500/535][166133] Loss_D: -0.019121 Loss_G: 0.016324 Loss_D_real: -0.026139 Loss_D_fake -0.007018
[1609/5000][505/535][166134] Loss_D: -0.019981 Loss_G: -0.002125 Loss_D_real: -0.008041 Loss_D_fake 0.011939
[1609/5000][510/535][166135] Loss_D: -0.018708 Loss_G: 0.014532 Loss_D_real: -0.018192 Loss_D_fake 0.000516
[1609/5000][515/535][166136] Loss_D: -0.019517 Loss_G: 0.006444 Loss_D_real: -0.010439 Loss_D_fake 0.009079
[1609/5000][520/535][166137] Loss_D: -0.020130 Loss_G: -0.000303 Loss_D_real: 0.002765 Loss_D_fake 0.022895
[1609/5000][525/535][166138] Loss_D: -0.020337 Loss_G: 0.020302 Loss_D_real: -0.011124 Loss_D_fake 0.009214
[1609/5000][530/535][166139] Loss_D: -0.019539 Loss_G: -0.013015 Loss_D_real: -0.001502 Loss_D_fake 0.018038
[1609/5000][535/535][166140] Loss_D: -0.022407 Loss_G: 0.018291 Loss_D_real: -0.004963 Loss_D_fake 0.017444
[1610/5000][5/535][166141] Loss_D: -0.018278 Loss_G: 0.012757 Loss_D_real: -0.023009 Loss_D_fake -0.004731
[1610/5000][10/535][166142] Loss_D: -0.019078 Loss_G: 0.002572 Loss_D_real: -0.024571 Loss_D_fake -0.005493
[1610/5000][15/535][166143] Loss_D: -0.018968 Loss_G: 0.021753 Loss_D_real: -0.020885 Loss_D_fake -0.001917
[1610/5000][20/535][166144] Loss_D: -0.018929 Loss_G: 0.014961 Loss_D_real: -0.014865 Loss_D_fake 0.004064
[1610/5000][25/535][166145] Loss_D: -0.018264 Loss_G: -0.015122 Loss_D_real: -0.007838 Loss_D_fake 0.010426
[1610/5000][30/535][166146] Loss_D: -0.019028 Loss_G: -0.003483 Loss_D_real: -0.018426 Loss_D_fake 0.000602
[1610/5000][35/535][166147] Loss_D: -0.018368 Loss_G: 0.006298 Loss_D_real: -0.030451 Loss_D_fake -0.012083
[1610/5000][40/535][166148] Loss_D: -0.019223 Loss_G: -0.007120 Loss_D_real: -0.001612 Loss_D_fake 0.017610
[1610/5000][45/535][166149] Loss_D: -0.017466 Loss_G: 0.008836 Loss_D_real: -0.012791 Loss_D_fake 0.004675
[1610/5000][50/535][166150] Loss_D: -0.016659 Loss_G: 0.010057 Loss_D_real: -0.025298 Loss_D_fake -0.008640
[1610/5000][55/535][166151] Loss_D: -0.020267 Loss_G: -0.002517 Loss_D_real: -0.022418 Loss_D_fake -0.002151
[1610/5000][60/535][166152] Loss_D: -0.018136 Loss_G: -0.014085 Loss_D_real: -0.002377 Loss_D_fake 0.015760
[1610/5000][65/535][166153] Loss_D: -0.019545 Loss_G: 0.005874 Loss_D_real: -0.015993 Loss_D_fake 0.003552
[1610/5000][70/535][166154] Loss_D: -0.020190 Loss_G: 0.025830 Loss_D_real: -0.015682 Loss_D_fake 0.004508
[1610/5000][75/535][166155] Loss_D: -0.018513 Loss_G: -0.006133 Loss_D_real: -0.012239 Loss_D_fake 0.006274
[1610/5000][80/535][166156] Loss_D: -0.018874 Loss_G: 0.001110 Loss_D_real: -0.006776 Loss_D_fake 0.012098
[1610/5000][85/535][166157] Loss_D: -0.018691 Loss_G: 0.000285 Loss_D_real: -0.010169 Loss_D_fake 0.008522
[1610/5000][90/535][166158] Loss_D: -0.019737 Loss_G: 0.010198 Loss_D_real: -0.008670 Loss_D_fake 0.011067
[1610/5000][95/535][166159] Loss_D: -0.019025 Loss_G: -0.008594 Loss_D_real: -0.016722 Loss_D_fake 0.002303
[1610/5000][100/535][166160] Loss_D: -0.019032 Loss_G: 0.004406 Loss_D_real: -0.016017 Loss_D_fake 0.003015
[1610/5000][105/535][166161] Loss_D: -0.019914 Loss_G: 0.011326 Loss_D_real: -0.021320 Loss_D_fake -0.001405
[1610/5000][110/535][166162] Loss_D: -0.021065 Loss_G: 0.015521 Loss_D_real: -0.014920 Loss_D_fake 0.006144
[1610/5000][115/535][166163] Loss_D: -0.020060 Loss_G: -0.000022 Loss_D_real: -0.013570 Loss_D_fake 0.006490
[1610/5000][120/535][166164] Loss_D: -0.019311 Loss_G: 0.011298 Loss_D_real: -0.022117 Loss_D_fake -0.002806
[1610/5000][125/535][166165] Loss_D: -0.019698 Loss_G: 0.016693 Loss_D_real: -0.014980 Loss_D_fake 0.004718
[1610/5000][130/535][166166] Loss_D: -0.018673 Loss_G: 0.006958 Loss_D_real: -0.020884 Loss_D_fake -0.002211
[1610/5000][135/535][166167] Loss_D: -0.019758 Loss_G: 0.008575 Loss_D_real: -0.022347 Loss_D_fake -0.002589
[1610/5000][140/535][166168] Loss_D: -0.018772 Loss_G: -0.004716 Loss_D_real: -0.011586 Loss_D_fake 0.007187
[1610/5000][145/535][166169] Loss_D: -0.020322 Loss_G: 0.010737 Loss_D_real: -0.003649 Loss_D_fake 0.016674
[1610/5000][150/535][166170] Loss_D: -0.018132 Loss_G: -0.005099 Loss_D_real: 0.000312 Loss_D_fake 0.018444
[1610/5000][155/535][166171] Loss_D: -0.018062 Loss_G: -0.005566 Loss_D_real: 0.002437 Loss_D_fake 0.020498
[1610/5000][160/535][166172] Loss_D: -0.018143 Loss_G: 0.012523 Loss_D_real: -0.010084 Loss_D_fake 0.008058
[1610/5000][165/535][166173] Loss_D: -0.019561 Loss_G: -0.007723 Loss_D_real: -0.006162 Loss_D_fake 0.013399
[1610/5000][170/535][166174] Loss_D: -0.019072 Loss_G: 0.008156 Loss_D_real: 0.004235 Loss_D_fake 0.023307
[1610/5000][175/535][166175] Loss_D: -0.017808 Loss_G: 0.012122 Loss_D_real: -0.036578 Loss_D_fake -0.018770
[1610/5000][180/535][166176] Loss_D: -0.019861 Loss_G: 0.020168 Loss_D_real: -0.026497 Loss_D_fake -0.006636
[1610/5000][185/535][166177] Loss_D: -0.018124 Loss_G: 0.026064 Loss_D_real: -0.031497 Loss_D_fake -0.013373
[1610/5000][190/535][166178] Loss_D: -0.018978 Loss_G: 0.016320 Loss_D_real: -0.015012 Loss_D_fake 0.003967
[1610/5000][195/535][166179] Loss_D: -0.019646 Loss_G: -0.000615 Loss_D_real: -0.019566 Loss_D_fake 0.000080
[1610/5000][200/535][166180] Loss_D: -0.019331 Loss_G: 0.016122 Loss_D_real: -0.015730 Loss_D_fake 0.003601
[1610/5000][205/535][166181] Loss_D: -0.016898 Loss_G: 0.018155 Loss_D_real: -0.029486 Loss_D_fake -0.012588
[1610/5000][210/535][166182] Loss_D: -0.018360 Loss_G: -0.021699 Loss_D_real: 0.003359 Loss_D_fake 0.021719
[1610/5000][215/535][166183] Loss_D: -0.018540 Loss_G: 0.014004 Loss_D_real: -0.015123 Loss_D_fake 0.003417
[1610/5000][220/535][166184] Loss_D: -0.019028 Loss_G: 0.017812 Loss_D_real: -0.019198 Loss_D_fake -0.000170
[1610/5000][225/535][166185] Loss_D: -0.018588 Loss_G: 0.012421 Loss_D_real: -0.018348 Loss_D_fake 0.000241
[1610/5000][230/535][166186] Loss_D: -0.020228 Loss_G: 0.009430 Loss_D_real: -0.011309 Loss_D_fake 0.008918
[1610/5000][235/535][166187] Loss_D: -0.017113 Loss_G: 0.018973 Loss_D_real: -0.034660 Loss_D_fake -0.017547
[1610/5000][240/535][166188] Loss_D: -0.019447 Loss_G: -0.016450 Loss_D_real: -0.004047 Loss_D_fake 0.015400
[1610/5000][245/535][166189] Loss_D: -0.016437 Loss_G: -0.018603 Loss_D_real: 0.003453 Loss_D_fake 0.019890
[1610/5000][250/535][166190] Loss_D: -0.019783 Loss_G: 0.001652 Loss_D_real: -0.012181 Loss_D_fake 0.007602
[1610/5000][255/535][166191] Loss_D: -0.021025 Loss_G: 0.004762 Loss_D_real: -0.018965 Loss_D_fake 0.002059
[1610/5000][260/535][166192] Loss_D: -0.019006 Loss_G: -0.004767 Loss_D_real: -0.006530 Loss_D_fake 0.012476
[1610/5000][265/535][166193] Loss_D: -0.018818 Loss_G: 0.028098 Loss_D_real: -0.029091 Loss_D_fake -0.010273
[1610/5000][270/535][166194] Loss_D: -0.018861 Loss_G: 0.010398 Loss_D_real: -0.006346 Loss_D_fake 0.012515
[1610/5000][275/535][166195] Loss_D: -0.019109 Loss_G: 0.010016 Loss_D_real: -0.017823 Loss_D_fake 0.001286
[1610/5000][280/535][166196] Loss_D: -0.020525 Loss_G: 0.003479 Loss_D_real: -0.018946 Loss_D_fake 0.001580
[1610/5000][285/535][166197] Loss_D: -0.019830 Loss_G: 0.013432 Loss_D_real: -0.016276 Loss_D_fake 0.003553
[1610/5000][290/535][166198] Loss_D: -0.019552 Loss_G: 0.018234 Loss_D_real: -0.011400 Loss_D_fake 0.008152
[1610/5000][295/535][166199] Loss_D: -0.019192 Loss_G: 0.014235 Loss_D_real: -0.026320 Loss_D_fake -0.007129
[1610/5000][300/535][166200] Loss_D: -0.019094 Loss_G: 0.014283 Loss_D_real: -0.021996 Loss_D_fake -0.002902
[1610/5000][305/535][166201] Loss_D: -0.019536 Loss_G: 0.008521 Loss_D_real: -0.017545 Loss_D_fake 0.001992
[1610/5000][310/535][166202] Loss_D: -0.018016 Loss_G: -0.008253 Loss_D_real: -0.006953 Loss_D_fake 0.011063
[1610/5000][315/535][166203] Loss_D: -0.018312 Loss_G: 0.022362 Loss_D_real: -0.018745 Loss_D_fake -0.000433
[1610/5000][320/535][166204] Loss_D: -0.017682 Loss_G: 0.014810 Loss_D_real: -0.020848 Loss_D_fake -0.003166
[1610/5000][325/535][166205] Loss_D: -0.017863 Loss_G: 0.019506 Loss_D_real: -0.033236 Loss_D_fake -0.015373
[1610/5000][330/535][166206] Loss_D: -0.018900 Loss_G: 0.007813 Loss_D_real: -0.006425 Loss_D_fake 0.012475
[1610/5000][335/535][166207] Loss_D: -0.018601 Loss_G: -0.004598 Loss_D_real: -0.017182 Loss_D_fake 0.001420
[1610/5000][340/535][166208] Loss_D: -0.019196 Loss_G: -0.010874 Loss_D_real: 0.006271 Loss_D_fake 0.025467
[1610/5000][345/535][166209] Loss_D: -0.018498 Loss_G: -0.002788 Loss_D_real: -0.007466 Loss_D_fake 0.011032
[1610/5000][350/535][166210] Loss_D: -0.018882 Loss_G: 0.001031 Loss_D_real: -0.015210 Loss_D_fake 0.003672
[1610/5000][355/535][166211] Loss_D: -0.018171 Loss_G: 0.014034 Loss_D_real: -0.028684 Loss_D_fake -0.010513
[1610/5000][360/535][166212] Loss_D: -0.018748 Loss_G: 0.010723 Loss_D_real: -0.004412 Loss_D_fake 0.014336
[1610/5000][365/535][166213] Loss_D: -0.018516 Loss_G: 0.021566 Loss_D_real: -0.025409 Loss_D_fake -0.006893
[1610/5000][370/535][166214] Loss_D: -0.018369 Loss_G: -0.012434 Loss_D_real: 0.001859 Loss_D_fake 0.020228
[1610/5000][375/535][166215] Loss_D: -0.017957 Loss_G: -0.005578 Loss_D_real: -0.002904 Loss_D_fake 0.015053
[1610/5000][380/535][166216] Loss_D: -0.018067 Loss_G: 0.006592 Loss_D_real: -0.022406 Loss_D_fake -0.004339
[1610/5000][385/535][166217] Loss_D: -0.019240 Loss_G: -0.004730 Loss_D_real: -0.011242 Loss_D_fake 0.007998
[1610/5000][390/535][166218] Loss_D: -0.020268 Loss_G: -0.016324 Loss_D_real: -0.007222 Loss_D_fake 0.013045
[1610/5000][395/535][166219] Loss_D: -0.018631 Loss_G: 0.003915 Loss_D_real: 0.001419 Loss_D_fake 0.020050
[1610/5000][400/535][166220] Loss_D: -0.018449 Loss_G: -0.002482 Loss_D_real: -0.007640 Loss_D_fake 0.010809
[1610/5000][405/535][166221] Loss_D: -0.018852 Loss_G: -0.005917 Loss_D_real: 0.002936 Loss_D_fake 0.021788
[1610/5000][410/535][166222] Loss_D: -0.019078 Loss_G: 0.022017 Loss_D_real: -0.029268 Loss_D_fake -0.010190
[1610/5000][415/535][166223] Loss_D: -0.019608 Loss_G: -0.004183 Loss_D_real: -0.008080 Loss_D_fake 0.011528
[1610/5000][420/535][166224] Loss_D: -0.020740 Loss_G: 0.026978 Loss_D_real: -0.023416 Loss_D_fake -0.002676
[1610/5000][425/535][166225] Loss_D: -0.019163 Loss_G: 0.020573 Loss_D_real: -0.017843 Loss_D_fake 0.001320
[1610/5000][430/535][166226] Loss_D: -0.020022 Loss_G: 0.014873 Loss_D_real: -0.017325 Loss_D_fake 0.002697
[1610/5000][435/535][166227] Loss_D: -0.019065 Loss_G: 0.002345 Loss_D_real: -0.018841 Loss_D_fake 0.000224
[1610/5000][440/535][166228] Loss_D: -0.019419 Loss_G: 0.002649 Loss_D_real: -0.021635 Loss_D_fake -0.002215
[1610/5000][445/535][166229] Loss_D: -0.019076 Loss_G: 0.004357 Loss_D_real: -0.024505 Loss_D_fake -0.005428
[1610/5000][450/535][166230] Loss_D: -0.020171 Loss_G: 0.000595 Loss_D_real: -0.023039 Loss_D_fake -0.002868
[1610/5000][455/535][166231] Loss_D: -0.019280 Loss_G: 0.026117 Loss_D_real: -0.025284 Loss_D_fake -0.006004
[1610/5000][460/535][166232] Loss_D: -0.019224 Loss_G: 0.018244 Loss_D_real: -0.032965 Loss_D_fake -0.013741
[1610/5000][465/535][166233] Loss_D: -0.018993 Loss_G: 0.009808 Loss_D_real: -0.016045 Loss_D_fake 0.002947
[1610/5000][470/535][166234] Loss_D: -0.018346 Loss_G: 0.005237 Loss_D_real: -0.005179 Loss_D_fake 0.013167
[1610/5000][475/535][166235] Loss_D: -0.019301 Loss_G: 0.013143 Loss_D_real: -0.021678 Loss_D_fake -0.002377
[1610/5000][480/535][166236] Loss_D: -0.019614 Loss_G: -0.001841 Loss_D_real: -0.022007 Loss_D_fake -0.002392
[1610/5000][485/535][166237] Loss_D: -0.018537 Loss_G: -0.003802 Loss_D_real: -0.011329 Loss_D_fake 0.007209
[1610/5000][490/535][166238] Loss_D: -0.019968 Loss_G: 0.004003 Loss_D_real: -0.009478 Loss_D_fake 0.010490
[1610/5000][495/535][166239] Loss_D: -0.020043 Loss_G: 0.000387 Loss_D_real: -0.002576 Loss_D_fake 0.017466
[1610/5000][500/535][166240] Loss_D: -0.019968 Loss_G: 0.009373 Loss_D_real: -0.025106 Loss_D_fake -0.005138
[1610/5000][505/535][166241] Loss_D: -0.020539 Loss_G: 0.017543 Loss_D_real: -0.017999 Loss_D_fake 0.002540
[1610/5000][510/535][166242] Loss_D: -0.018119 Loss_G: 0.012675 Loss_D_real: -0.008331 Loss_D_fake 0.009788
[1610/5000][515/535][166243] Loss_D: -0.019454 Loss_G: 0.008919 Loss_D_real: -0.021218 Loss_D_fake -0.001764
[1610/5000][520/535][166244] Loss_D: -0.019132 Loss_G: 0.002660 Loss_D_real: -0.019073 Loss_D_fake 0.000059
[1610/5000][525/535][166245] Loss_D: -0.019045 Loss_G: 0.009198 Loss_D_real: -0.018035 Loss_D_fake 0.001011
[1610/5000][530/535][166246] Loss_D: -0.018787 Loss_G: 0.000058 Loss_D_real: -0.019515 Loss_D_fake -0.000728
[1610/5000][535/535][166247] Loss_D: -0.018966 Loss_G: 0.010643 Loss_D_real: -0.023176 Loss_D_fake -0.004210
[1611/5000][5/535][166248] Loss_D: -0.018881 Loss_G: 0.018264 Loss_D_real: -0.024779 Loss_D_fake -0.005898
[1611/5000][10/535][166249] Loss_D: -0.018251 Loss_G: 0.027125 Loss_D_real: -0.020385 Loss_D_fake -0.002134
[1611/5000][15/535][166250] Loss_D: -0.019743 Loss_G: 0.016741 Loss_D_real: -0.010601 Loss_D_fake 0.009142
[1611/5000][20/535][166251] Loss_D: -0.018162 Loss_G: 0.012953 Loss_D_real: -0.033674 Loss_D_fake -0.015512
[1611/5000][25/535][166252] Loss_D: -0.019242 Loss_G: -0.000043 Loss_D_real: -0.010470 Loss_D_fake 0.008772
[1611/5000][30/535][166253] Loss_D: -0.019751 Loss_G: 0.008793 Loss_D_real: -0.016068 Loss_D_fake 0.003683
[1611/5000][35/535][166254] Loss_D: -0.019673 Loss_G: 0.008326 Loss_D_real: -0.033172 Loss_D_fake -0.013498
[1611/5000][40/535][166255] Loss_D: -0.018320 Loss_G: 0.022500 Loss_D_real: -0.038853 Loss_D_fake -0.020533
[1611/5000][45/535][166256] Loss_D: -0.019472 Loss_G: 0.001109 Loss_D_real: -0.003942 Loss_D_fake 0.015530
[1611/5000][50/535][166257] Loss_D: -0.020449 Loss_G: 0.011071 Loss_D_real: -0.014481 Loss_D_fake 0.005967
[1611/5000][55/535][166258] Loss_D: -0.019101 Loss_G: 0.002404 Loss_D_real: -0.014905 Loss_D_fake 0.004196
[1611/5000][60/535][166259] Loss_D: -0.018936 Loss_G: -0.002842 Loss_D_real: -0.012646 Loss_D_fake 0.006290
[1611/5000][65/535][166260] Loss_D: -0.019294 Loss_G: -0.007330 Loss_D_real: 0.000764 Loss_D_fake 0.020058
[1611/5000][70/535][166261] Loss_D: -0.018391 Loss_G: -0.002912 Loss_D_real: -0.001507 Loss_D_fake 0.016885
[1611/5000][75/535][166262] Loss_D: -0.020878 Loss_G: 0.004477 Loss_D_real: -0.001612 Loss_D_fake 0.019265
[1611/5000][80/535][166263] Loss_D: -0.017695 Loss_G: 0.000724 Loss_D_real: 0.012419 Loss_D_fake 0.030113
[1611/5000][85/535][166264] Loss_D: -0.018940 Loss_G: 0.011013 Loss_D_real: -0.019536 Loss_D_fake -0.000596
[1611/5000][90/535][166265] Loss_D: -0.019406 Loss_G: 0.003537 Loss_D_real: -0.002657 Loss_D_fake 0.016749
[1611/5000][95/535][166266] Loss_D: -0.018867 Loss_G: 0.010376 Loss_D_real: -0.019068 Loss_D_fake -0.000201
[1611/5000][100/535][166267] Loss_D: -0.019541 Loss_G: 0.012722 Loss_D_real: -0.008379 Loss_D_fake 0.011162
[1611/5000][105/535][166268] Loss_D: -0.019618 Loss_G: 0.008590 Loss_D_real: -0.012410 Loss_D_fake 0.007208
[1611/5000][110/535][166269] Loss_D: -0.020979 Loss_G: 0.006474 Loss_D_real: -0.023407 Loss_D_fake -0.002427
[1611/5000][115/535][166270] Loss_D: -0.020533 Loss_G: 0.005155 Loss_D_real: -0.012476 Loss_D_fake 0.008057
[1611/5000][120/535][166271] Loss_D: -0.017557 Loss_G: 0.021225 Loss_D_real: -0.026074 Loss_D_fake -0.008517
[1611/5000][125/535][166272] Loss_D: -0.020302 Loss_G: -0.001106 Loss_D_real: -0.007966 Loss_D_fake 0.012336
[1611/5000][130/535][166273] Loss_D: -0.019921 Loss_G: 0.006785 Loss_D_real: -0.009646 Loss_D_fake 0.010275
[1611/5000][135/535][166274] Loss_D: -0.018877 Loss_G: 0.003454 Loss_D_real: -0.014353 Loss_D_fake 0.004523
[1611/5000][140/535][166275] Loss_D: -0.018281 Loss_G: 0.021074 Loss_D_real: -0.036833 Loss_D_fake -0.018552
[1611/5000][145/535][166276] Loss_D: -0.018875 Loss_G: -0.003173 Loss_D_real: -0.006440 Loss_D_fake 0.012435
[1611/5000][150/535][166277] Loss_D: -0.020042 Loss_G: -0.005378 Loss_D_real: -0.015283 Loss_D_fake 0.004758
[1611/5000][155/535][166278] Loss_D: -0.020521 Loss_G: 0.003305 Loss_D_real: -0.023076 Loss_D_fake -0.002555
[1611/5000][160/535][166279] Loss_D: -0.021237 Loss_G: 0.004932 Loss_D_real: -0.009168 Loss_D_fake 0.012068
[1611/5000][165/535][166280] Loss_D: -0.018906 Loss_G: -0.007034 Loss_D_real: -0.013416 Loss_D_fake 0.005490
[1611/5000][170/535][166281] Loss_D: -0.019582 Loss_G: 0.007655 Loss_D_real: -0.007894 Loss_D_fake 0.011688
[1611/5000][175/535][166282] Loss_D: -0.018447 Loss_G: 0.019137 Loss_D_real: -0.008132 Loss_D_fake 0.010314
[1611/5000][180/535][166283] Loss_D: -0.019601 Loss_G: -0.000584 Loss_D_real: 0.000460 Loss_D_fake 0.020062
[1611/5000][185/535][166284] Loss_D: -0.016488 Loss_G: -0.011397 Loss_D_real: -0.010184 Loss_D_fake 0.006304
[1611/5000][190/535][166285] Loss_D: -0.019553 Loss_G: 0.005229 Loss_D_real: -0.005664 Loss_D_fake 0.013889
[1611/5000][195/535][166286] Loss_D: -0.018575 Loss_G: -0.000154 Loss_D_real: -0.010733 Loss_D_fake 0.007842
[1611/5000][200/535][166287] Loss_D: -0.018130 Loss_G: 0.000366 Loss_D_real: -0.031917 Loss_D_fake -0.013786
[1611/5000][205/535][166288] Loss_D: -0.016645 Loss_G: -0.009983 Loss_D_real: 0.002818 Loss_D_fake 0.019463
[1611/5000][210/535][166289] Loss_D: -0.017769 Loss_G: 0.013305 Loss_D_real: -0.028598 Loss_D_fake -0.010829
[1611/5000][215/535][166290] Loss_D: -0.018074 Loss_G: 0.019199 Loss_D_real: -0.028592 Loss_D_fake -0.010518
[1611/5000][220/535][166291] Loss_D: -0.018520 Loss_G: 0.024863 Loss_D_real: -0.017539 Loss_D_fake 0.000981
[1611/5000][225/535][166292] Loss_D: -0.019510 Loss_G: 0.001423 Loss_D_real: -0.011432 Loss_D_fake 0.008077
[1611/5000][230/535][166293] Loss_D: -0.019365 Loss_G: 0.019212 Loss_D_real: -0.007649 Loss_D_fake 0.011715
[1611/5000][235/535][166294] Loss_D: -0.018522 Loss_G: 0.012118 Loss_D_real: -0.023573 Loss_D_fake -0.005051
[1611/5000][240/535][166295] Loss_D: -0.017855 Loss_G: -0.010889 Loss_D_real: -0.008591 Loss_D_fake 0.009265
[1611/5000][245/535][166296] Loss_D: -0.017717 Loss_G: -0.002778 Loss_D_real: -0.013040 Loss_D_fake 0.004677
[1611/5000][250/535][166297] Loss_D: -0.020128 Loss_G: 0.017214 Loss_D_real: -0.019644 Loss_D_fake 0.000484
[1611/5000][255/535][166298] Loss_D: -0.019702 Loss_G: -0.006370 Loss_D_real: -0.002766 Loss_D_fake 0.016937
[1611/5000][260/535][166299] Loss_D: -0.019651 Loss_G: 0.014123 Loss_D_real: -0.013905 Loss_D_fake 0.005746
[1611/5000][265/535][166300] Loss_D: -0.019261 Loss_G: 0.024919 Loss_D_real: -0.023834 Loss_D_fake -0.004573
[1611/5000][270/535][166301] Loss_D: -0.018210 Loss_G: 0.022435 Loss_D_real: -0.039257 Loss_D_fake -0.021047
[1611/5000][275/535][166302] Loss_D: -0.021087 Loss_G: 0.007912 Loss_D_real: -0.019830 Loss_D_fake 0.001257
[1611/5000][280/535][166303] Loss_D: -0.020996 Loss_G: -0.009343 Loss_D_real: -0.008447 Loss_D_fake 0.012549
[1611/5000][285/535][166304] Loss_D: -0.020697 Loss_G: 0.002016 Loss_D_real: -0.005019 Loss_D_fake 0.015678
[1611/5000][290/535][166305] Loss_D: -0.020116 Loss_G: 0.009399 Loss_D_real: -0.026076 Loss_D_fake -0.005960
[1611/5000][295/535][166306] Loss_D: -0.019251 Loss_G: 0.010876 Loss_D_real: -0.019265 Loss_D_fake -0.000014
[1611/5000][300/535][166307] Loss_D: -0.018769 Loss_G: -0.000907 Loss_D_real: -0.021883 Loss_D_fake -0.003115
[1611/5000][305/535][166308] Loss_D: -0.018106 Loss_G: 0.013332 Loss_D_real: -0.024425 Loss_D_fake -0.006319
[1611/5000][310/535][166309] Loss_D: -0.018436 Loss_G: -0.015591 Loss_D_real: -0.002956 Loss_D_fake 0.015481
[1611/5000][315/535][166310] Loss_D: -0.018771 Loss_G: 0.006341 Loss_D_real: -0.025996 Loss_D_fake -0.007225
[1611/5000][320/535][166311] Loss_D: -0.018933 Loss_G: 0.008630 Loss_D_real: 0.004007 Loss_D_fake 0.022940
[1611/5000][325/535][166312] Loss_D: -0.019716 Loss_G: 0.004603 Loss_D_real: -0.007432 Loss_D_fake 0.012285
[1611/5000][330/535][166313] Loss_D: -0.019347 Loss_G: 0.011031 Loss_D_real: -0.017496 Loss_D_fake 0.001851
[1611/5000][335/535][166314] Loss_D: -0.018816 Loss_G: 0.016511 Loss_D_real: -0.017401 Loss_D_fake 0.001416
[1611/5000][340/535][166315] Loss_D: -0.019060 Loss_G: 0.004207 Loss_D_real: -0.011364 Loss_D_fake 0.007696
[1611/5000][345/535][166316] Loss_D: -0.018242 Loss_G: -0.011272 Loss_D_real: -0.009354 Loss_D_fake 0.008888
[1611/5000][350/535][166317] Loss_D: -0.019859 Loss_G: 0.014799 Loss_D_real: -0.033296 Loss_D_fake -0.013436
[1611/5000][355/535][166318] Loss_D: -0.018593 Loss_G: -0.020805 Loss_D_real: -0.005187 Loss_D_fake 0.013406
[1611/5000][360/535][166319] Loss_D: -0.018924 Loss_G: -0.004886 Loss_D_real: -0.000306 Loss_D_fake 0.018618
[1611/5000][365/535][166320] Loss_D: -0.017387 Loss_G: 0.020023 Loss_D_real: -0.025624 Loss_D_fake -0.008236
[1611/5000][370/535][166321] Loss_D: -0.019578 Loss_G: -0.007858 Loss_D_real: -0.010966 Loss_D_fake 0.008612
[1611/5000][375/535][166322] Loss_D: -0.019263 Loss_G: -0.001191 Loss_D_real: -0.022823 Loss_D_fake -0.003559
[1611/5000][380/535][166323] Loss_D: -0.018256 Loss_G: 0.034556 Loss_D_real: -0.028578 Loss_D_fake -0.010322
[1611/5000][385/535][166324] Loss_D: -0.019189 Loss_G: -0.001420 Loss_D_real: -0.016944 Loss_D_fake 0.002246
[1611/5000][390/535][166325] Loss_D: -0.019198 Loss_G: 0.001144 Loss_D_real: -0.009925 Loss_D_fake 0.009273
[1611/5000][395/535][166326] Loss_D: -0.019399 Loss_G: -0.004829 Loss_D_real: -0.014023 Loss_D_fake 0.005376
[1611/5000][400/535][166327] Loss_D: -0.018629 Loss_G: 0.011498 Loss_D_real: -0.010581 Loss_D_fake 0.008048
[1611/5000][405/535][166328] Loss_D: -0.019739 Loss_G: 0.016743 Loss_D_real: -0.020910 Loss_D_fake -0.001171
[1611/5000][410/535][166329] Loss_D: -0.019597 Loss_G: 0.004839 Loss_D_real: -0.023455 Loss_D_fake -0.003859
[1611/5000][415/535][166330] Loss_D: -0.018963 Loss_G: -0.004871 Loss_D_real: -0.008679 Loss_D_fake 0.010284
[1611/5000][420/535][166331] Loss_D: -0.019667 Loss_G: -0.010844 Loss_D_real: -0.003535 Loss_D_fake 0.016132
[1611/5000][425/535][166332] Loss_D: -0.020773 Loss_G: 0.012685 Loss_D_real: -0.017905 Loss_D_fake 0.002868
[1611/5000][430/535][166333] Loss_D: -0.020660 Loss_G: 0.013644 Loss_D_real: -0.025259 Loss_D_fake -0.004599
[1611/5000][435/535][166334] Loss_D: -0.018076 Loss_G: 0.016911 Loss_D_real: -0.030125 Loss_D_fake -0.012049
[1611/5000][440/535][166335] Loss_D: -0.018758 Loss_G: 0.023259 Loss_D_real: -0.029827 Loss_D_fake -0.011070
[1611/5000][445/535][166336] Loss_D: -0.018268 Loss_G: -0.004420 Loss_D_real: -0.011874 Loss_D_fake 0.006393
[1611/5000][450/535][166337] Loss_D: -0.018331 Loss_G: 0.015696 Loss_D_real: -0.009711 Loss_D_fake 0.008620
[1611/5000][455/535][166338] Loss_D: -0.018105 Loss_G: 0.013197 Loss_D_real: -0.020968 Loss_D_fake -0.002863
[1611/5000][460/535][166339] Loss_D: -0.019216 Loss_G: 0.010332 Loss_D_real: -0.011228 Loss_D_fake 0.007988
[1611/5000][465/535][166340] Loss_D: -0.020251 Loss_G: 0.024093 Loss_D_real: -0.013477 Loss_D_fake 0.006775
[1611/5000][470/535][166341] Loss_D: -0.018914 Loss_G: -0.006660 Loss_D_real: -0.010765 Loss_D_fake 0.008149
[1611/5000][475/535][166342] Loss_D: -0.019520 Loss_G: 0.013401 Loss_D_real: -0.022046 Loss_D_fake -0.002526
[1611/5000][480/535][166343] Loss_D: -0.018029 Loss_G: 0.022382 Loss_D_real: -0.033349 Loss_D_fake -0.015320
[1611/5000][485/535][166344] Loss_D: -0.018700 Loss_G: -0.005269 Loss_D_real: -0.009710 Loss_D_fake 0.008990
[1611/5000][490/535][166345] Loss_D: -0.017399 Loss_G: -0.022279 Loss_D_real: 0.002086 Loss_D_fake 0.019485
[1611/5000][495/535][166346] Loss_D: -0.015976 Loss_G: -0.014926 Loss_D_real: -0.003475 Loss_D_fake 0.012501
[1611/5000][500/535][166347] Loss_D: -0.018913 Loss_G: 0.005020 Loss_D_real: -0.010897 Loss_D_fake 0.008016
[1611/5000][505/535][166348] Loss_D: -0.019519 Loss_G: 0.012908 Loss_D_real: -0.012158 Loss_D_fake 0.007361
[1611/5000][510/535][166349] Loss_D: -0.019548 Loss_G: -0.003242 Loss_D_real: -0.018600 Loss_D_fake 0.000949
[1611/5000][515/535][166350] Loss_D: -0.019934 Loss_G: 0.031093 Loss_D_real: -0.020528 Loss_D_fake -0.000594
[1611/5000][520/535][166351] Loss_D: -0.019347 Loss_G: 0.003555 Loss_D_real: -0.021962 Loss_D_fake -0.002615
[1611/5000][525/535][166352] Loss_D: -0.019092 Loss_G: 0.021673 Loss_D_real: -0.034060 Loss_D_fake -0.014968
[1611/5000][530/535][166353] Loss_D: -0.018352 Loss_G: 0.026639 Loss_D_real: -0.028358 Loss_D_fake -0.010006
[1611/5000][535/535][166354] Loss_D: -0.022375 Loss_G: -0.013542 Loss_D_real: -0.028567 Loss_D_fake -0.006193
[1612/5000][5/535][166355] Loss_D: -0.019360 Loss_G: -0.001572 Loss_D_real: -0.010155 Loss_D_fake 0.009205
[1612/5000][10/535][166356] Loss_D: -0.019366 Loss_G: -0.003360 Loss_D_real: -0.004842 Loss_D_fake 0.014523
[1612/5000][15/535][166357] Loss_D: -0.018806 Loss_G: 0.009099 Loss_D_real: -0.012110 Loss_D_fake 0.006697
[1612/5000][20/535][166358] Loss_D: -0.018171 Loss_G: 0.021656 Loss_D_real: -0.028481 Loss_D_fake -0.010310
[1612/5000][25/535][166359] Loss_D: -0.018398 Loss_G: -0.004169 Loss_D_real: -0.006169 Loss_D_fake 0.012228
[1612/5000][30/535][166360] Loss_D: -0.017877 Loss_G: 0.005679 Loss_D_real: -0.021315 Loss_D_fake -0.003439
[1612/5000][35/535][166361] Loss_D: -0.019185 Loss_G: 0.019243 Loss_D_real: -0.018292 Loss_D_fake 0.000893
[1612/5000][40/535][166362] Loss_D: -0.019498 Loss_G: -0.005382 Loss_D_real: -0.014698 Loss_D_fake 0.004801
[1612/5000][45/535][166363] Loss_D: -0.019478 Loss_G: 0.015434 Loss_D_real: -0.016739 Loss_D_fake 0.002739
[1612/5000][50/535][166364] Loss_D: -0.018936 Loss_G: 0.016091 Loss_D_real: -0.024242 Loss_D_fake -0.005306
[1612/5000][55/535][166365] Loss_D: -0.019559 Loss_G: 0.013438 Loss_D_real: -0.024270 Loss_D_fake -0.004711
[1612/5000][60/535][166366] Loss_D: -0.017929 Loss_G: -0.006113 Loss_D_real: -0.008250 Loss_D_fake 0.009679
[1612/5000][65/535][166367] Loss_D: -0.017665 Loss_G: 0.021382 Loss_D_real: -0.033243 Loss_D_fake -0.015578
[1612/5000][70/535][166368] Loss_D: -0.018738 Loss_G: -0.014484 Loss_D_real: -0.004002 Loss_D_fake 0.014736
[1612/5000][75/535][166369] Loss_D: -0.018842 Loss_G: 0.003224 Loss_D_real: -0.008657 Loss_D_fake 0.010185
[1612/5000][80/535][166370] Loss_D: -0.020091 Loss_G: 0.003686 Loss_D_real: -0.003981 Loss_D_fake 0.016110
[1612/5000][85/535][166371] Loss_D: -0.017941 Loss_G: 0.016538 Loss_D_real: -0.023779 Loss_D_fake -0.005839
[1612/5000][90/535][166372] Loss_D: -0.018587 Loss_G: -0.003810 Loss_D_real: -0.003543 Loss_D_fake 0.015045
[1612/5000][95/535][166373] Loss_D: -0.018557 Loss_G: 0.004025 Loss_D_real: -0.012305 Loss_D_fake 0.006252
[1612/5000][100/535][166374] Loss_D: -0.019470 Loss_G: 0.011486 Loss_D_real: -0.018461 Loss_D_fake 0.001010
[1612/5000][105/535][166375] Loss_D: -0.018554 Loss_G: -0.010794 Loss_D_real: -0.002496 Loss_D_fake 0.016058
[1612/5000][110/535][166376] Loss_D: -0.018542 Loss_G: 0.001163 Loss_D_real: 0.001521 Loss_D_fake 0.020062
[1612/5000][115/535][166377] Loss_D: -0.018265 Loss_G: -0.005320 Loss_D_real: 0.005319 Loss_D_fake 0.023584
[1612/5000][120/535][166378] Loss_D: -0.018832 Loss_G: 0.002170 Loss_D_real: -0.018719 Loss_D_fake 0.000113
[1612/5000][125/535][166379] Loss_D: -0.019151 Loss_G: -0.002224 Loss_D_real: 0.002786 Loss_D_fake 0.021938
[1612/5000][130/535][166380] Loss_D: -0.019281 Loss_G: 0.004808 Loss_D_real: -0.012786 Loss_D_fake 0.006495
[1612/5000][135/535][166381] Loss_D: -0.018584 Loss_G: 0.022831 Loss_D_real: -0.029033 Loss_D_fake -0.010450
[1612/5000][140/535][166382] Loss_D: -0.018800 Loss_G: 0.023342 Loss_D_real: -0.032944 Loss_D_fake -0.014145
[1612/5000][145/535][166383] Loss_D: -0.019492 Loss_G: -0.008417 Loss_D_real: -0.014135 Loss_D_fake 0.005357
[1612/5000][150/535][166384] Loss_D: -0.020117 Loss_G: 0.003478 Loss_D_real: -0.012285 Loss_D_fake 0.007832
[1612/5000][155/535][166385] Loss_D: -0.019730 Loss_G: 0.002840 Loss_D_real: -0.008484 Loss_D_fake 0.011245
[1612/5000][160/535][166386] Loss_D: -0.020070 Loss_G: 0.017954 Loss_D_real: -0.038375 Loss_D_fake -0.018305
[1612/5000][165/535][166387] Loss_D: -0.020656 Loss_G: 0.006395 Loss_D_real: -0.017668 Loss_D_fake 0.002989
[1612/5000][170/535][166388] Loss_D: -0.019548 Loss_G: 0.014033 Loss_D_real: -0.017096 Loss_D_fake 0.002452
[1612/5000][175/535][166389] Loss_D: -0.019275 Loss_G: 0.001588 Loss_D_real: -0.012623 Loss_D_fake 0.006652
[1612/5000][180/535][166390] Loss_D: -0.019288 Loss_G: 0.007290 Loss_D_real: -0.013546 Loss_D_fake 0.005742
[1612/5000][185/535][166391] Loss_D: -0.019500 Loss_G: 0.008379 Loss_D_real: -0.014367 Loss_D_fake 0.005133
[1612/5000][190/535][166392] Loss_D: -0.019409 Loss_G: 0.018397 Loss_D_real: -0.025827 Loss_D_fake -0.006418
[1612/5000][195/535][166393] Loss_D: -0.019967 Loss_G: 0.010008 Loss_D_real: -0.022629 Loss_D_fake -0.002663
[1612/5000][200/535][166394] Loss_D: -0.019342 Loss_G: 0.004307 Loss_D_real: -0.013390 Loss_D_fake 0.005952
[1612/5000][205/535][166395] Loss_D: -0.019410 Loss_G: -0.013701 Loss_D_real: -0.014629 Loss_D_fake 0.004781
[1612/5000][210/535][166396] Loss_D: -0.015334 Loss_G: 0.034108 Loss_D_real: -0.037865 Loss_D_fake -0.022530
[1612/5000][215/535][166397] Loss_D: -0.018764 Loss_G: 0.009876 Loss_D_real: -0.011777 Loss_D_fake 0.006988
[1612/5000][220/535][166398] Loss_D: -0.019020 Loss_G: -0.011617 Loss_D_real: -0.004158 Loss_D_fake 0.014862
[1612/5000][225/535][166399] Loss_D: -0.017537 Loss_G: 0.009100 Loss_D_real: -0.017226 Loss_D_fake 0.000312
[1612/5000][230/535][166400] Loss_D: -0.018293 Loss_G: 0.015967 Loss_D_real: -0.029615 Loss_D_fake -0.011322
[1612/5000][235/535][166401] Loss_D: -0.019834 Loss_G: -0.000983 Loss_D_real: -0.007824 Loss_D_fake 0.012010
[1612/5000][240/535][166402] Loss_D: -0.019829 Loss_G: 0.015522 Loss_D_real: -0.019498 Loss_D_fake 0.000330
[1612/5000][245/535][166403] Loss_D: -0.019529 Loss_G: 0.015061 Loss_D_real: -0.038215 Loss_D_fake -0.018685
[1612/5000][250/535][166404] Loss_D: -0.020703 Loss_G: 0.004940 Loss_D_real: -0.004039 Loss_D_fake 0.016664
[1612/5000][255/535][166405] Loss_D: -0.019009 Loss_G: -0.002841 Loss_D_real: -0.023378 Loss_D_fake -0.004370
[1612/5000][260/535][166406] Loss_D: -0.020369 Loss_G: 0.022761 Loss_D_real: -0.025179 Loss_D_fake -0.004810
[1612/5000][265/535][166407] Loss_D: -0.018957 Loss_G: 0.019240 Loss_D_real: -0.013629 Loss_D_fake 0.005327
[1612/5000][270/535][166408] Loss_D: -0.020450 Loss_G: -0.009062 Loss_D_real: -0.008170 Loss_D_fake 0.012280
[1612/5000][275/535][166409] Loss_D: -0.018587 Loss_G: -0.003475 Loss_D_real: -0.001070 Loss_D_fake 0.017518
[1612/5000][280/535][166410] Loss_D: -0.019198 Loss_G: -0.007009 Loss_D_real: -0.011487 Loss_D_fake 0.007711
[1612/5000][285/535][166411] Loss_D: -0.018107 Loss_G: 0.022069 Loss_D_real: -0.027107 Loss_D_fake -0.009000
[1612/5000][290/535][166412] Loss_D: -0.018426 Loss_G: -0.003117 Loss_D_real: -0.001858 Loss_D_fake 0.016568
[1612/5000][295/535][166413] Loss_D: -0.019035 Loss_G: -0.003073 Loss_D_real: -0.002057 Loss_D_fake 0.016978
[1612/5000][300/535][166414] Loss_D: -0.017901 Loss_G: 0.020740 Loss_D_real: -0.030267 Loss_D_fake -0.012366
[1612/5000][305/535][166415] Loss_D: -0.019902 Loss_G: 0.005191 Loss_D_real: -0.014432 Loss_D_fake 0.005471
[1612/5000][310/535][166416] Loss_D: -0.019027 Loss_G: -0.002989 Loss_D_real: 0.001125 Loss_D_fake 0.020152
[1612/5000][315/535][166417] Loss_D: -0.020352 Loss_G: 0.026427 Loss_D_real: -0.018477 Loss_D_fake 0.001875
[1612/5000][320/535][166418] Loss_D: -0.018510 Loss_G: -0.010896 Loss_D_real: -0.014545 Loss_D_fake 0.003966
[1612/5000][325/535][166419] Loss_D: -0.019279 Loss_G: -0.007341 Loss_D_real: -0.008910 Loss_D_fake 0.010369
[1612/5000][330/535][166420] Loss_D: -0.018554 Loss_G: 0.015041 Loss_D_real: -0.023421 Loss_D_fake -0.004868
[1612/5000][335/535][166421] Loss_D: -0.019550 Loss_G: 0.013732 Loss_D_real: -0.018860 Loss_D_fake 0.000690
[1612/5000][340/535][166422] Loss_D: -0.018595 Loss_G: -0.001075 Loss_D_real: -0.013881 Loss_D_fake 0.004715
[1612/5000][345/535][166423] Loss_D: -0.019016 Loss_G: -0.010281 Loss_D_real: -0.000452 Loss_D_fake 0.018564
[1612/5000][350/535][166424] Loss_D: -0.019417 Loss_G: 0.002928 Loss_D_real: -0.008268 Loss_D_fake 0.011150
[1612/5000][355/535][166425] Loss_D: -0.018195 Loss_G: -0.000619 Loss_D_real: -0.012499 Loss_D_fake 0.005696
[1612/5000][360/535][166426] Loss_D: -0.017801 Loss_G: 0.010897 Loss_D_real: -0.033579 Loss_D_fake -0.015777
[1612/5000][365/535][166427] Loss_D: -0.020432 Loss_G: 0.001375 Loss_D_real: -0.008945 Loss_D_fake 0.011487
[1612/5000][370/535][166428] Loss_D: -0.019167 Loss_G: -0.000386 Loss_D_real: -0.016086 Loss_D_fake 0.003081
[1612/5000][375/535][166429] Loss_D: -0.016611 Loss_G: 0.019211 Loss_D_real: -0.027061 Loss_D_fake -0.010450
[1612/5000][380/535][166430] Loss_D: -0.020210 Loss_G: -0.001419 Loss_D_real: -0.021430 Loss_D_fake -0.001220
[1612/5000][385/535][166431] Loss_D: -0.018744 Loss_G: 0.029997 Loss_D_real: -0.030027 Loss_D_fake -0.011283
[1612/5000][390/535][166432] Loss_D: -0.019127 Loss_G: -0.013585 Loss_D_real: -0.004886 Loss_D_fake 0.014241
[1612/5000][395/535][166433] Loss_D: -0.018056 Loss_G: 0.001920 Loss_D_real: -0.004653 Loss_D_fake 0.013403
[1612/5000][400/535][166434] Loss_D: -0.019262 Loss_G: -0.003429 Loss_D_real: -0.010513 Loss_D_fake 0.008749
[1612/5000][405/535][166435] Loss_D: -0.018934 Loss_G: 0.002543 Loss_D_real: -0.018974 Loss_D_fake -0.000040
[1612/5000][410/535][166436] Loss_D: -0.019328 Loss_G: 0.004337 Loss_D_real: -0.009476 Loss_D_fake 0.009852
[1612/5000][415/535][166437] Loss_D: -0.017790 Loss_G: 0.013059 Loss_D_real: -0.011276 Loss_D_fake 0.006513
[1612/5000][420/535][166438] Loss_D: -0.018670 Loss_G: 0.008028 Loss_D_real: -0.011084 Loss_D_fake 0.007586
[1612/5000][425/535][166439] Loss_D: -0.018621 Loss_G: 0.000746 Loss_D_real: -0.018096 Loss_D_fake 0.000525
[1612/5000][430/535][166440] Loss_D: -0.019362 Loss_G: 0.000908 Loss_D_real: -0.010188 Loss_D_fake 0.009174
[1612/5000][435/535][166441] Loss_D: -0.018512 Loss_G: 0.008832 Loss_D_real: -0.018981 Loss_D_fake -0.000469
[1612/5000][440/535][166442] Loss_D: -0.018939 Loss_G: 0.004677 Loss_D_real: -0.015215 Loss_D_fake 0.003725
[1612/5000][445/535][166443] Loss_D: -0.019636 Loss_G: 0.005727 Loss_D_real: -0.024675 Loss_D_fake -0.005038
[1612/5000][450/535][166444] Loss_D: -0.020249 Loss_G: -0.003218 Loss_D_real: -0.008526 Loss_D_fake 0.011723
[1612/5000][455/535][166445] Loss_D: -0.018346 Loss_G: 0.021976 Loss_D_real: -0.029420 Loss_D_fake -0.011074
[1612/5000][460/535][166446] Loss_D: -0.018587 Loss_G: -0.025202 Loss_D_real: 0.005955 Loss_D_fake 0.024542
[1612/5000][465/535][166447] Loss_D: -0.018478 Loss_G: -0.007713 Loss_D_real: -0.008664 Loss_D_fake 0.009814
[1612/5000][470/535][166448] Loss_D: -0.019420 Loss_G: 0.006262 Loss_D_real: -0.025429 Loss_D_fake -0.006009
[1612/5000][475/535][166449] Loss_D: -0.019812 Loss_G: 0.021168 Loss_D_real: -0.016156 Loss_D_fake 0.003656
[1612/5000][480/535][166450] Loss_D: -0.018967 Loss_G: 0.005694 Loss_D_real: -0.021170 Loss_D_fake -0.002204
[1612/5000][485/535][166451] Loss_D: -0.018682 Loss_G: -0.014598 Loss_D_real: -0.002071 Loss_D_fake 0.016611
[1612/5000][490/535][166452] Loss_D: -0.019014 Loss_G: 0.017893 Loss_D_real: -0.032579 Loss_D_fake -0.013565
[1612/5000][495/535][166453] Loss_D: -0.019808 Loss_G: 0.011528 Loss_D_real: -0.016459 Loss_D_fake 0.003349
[1612/5000][500/535][166454] Loss_D: -0.019537 Loss_G: 0.023506 Loss_D_real: -0.024991 Loss_D_fake -0.005454
[1612/5000][505/535][166455] Loss_D: -0.019277 Loss_G: 0.009952 Loss_D_real: -0.022249 Loss_D_fake -0.002972
[1612/5000][510/535][166456] Loss_D: -0.019069 Loss_G: 0.008625 Loss_D_real: -0.012927 Loss_D_fake 0.006142
[1612/5000][515/535][166457] Loss_D: -0.020874 Loss_G: 0.020238 Loss_D_real: -0.018460 Loss_D_fake 0.002414
[1612/5000][520/535][166458] Loss_D: -0.019981 Loss_G: 0.019440 Loss_D_real: -0.014676 Loss_D_fake 0.005304
[1612/5000][525/535][166459] Loss_D: -0.019770 Loss_G: -0.012233 Loss_D_real: -0.004604 Loss_D_fake 0.015166
[1612/5000][530/535][166460] Loss_D: -0.018955 Loss_G: -0.002165 Loss_D_real: -0.013743 Loss_D_fake 0.005212
[1612/5000][535/535][166461] Loss_D: -0.016840 Loss_G: 0.022513 Loss_D_real: -0.022757 Loss_D_fake -0.005917
[1613/5000][5/535][166462] Loss_D: -0.017724 Loss_G: -0.012916 Loss_D_real: -0.001858 Loss_D_fake 0.015866
[1613/5000][10/535][166463] Loss_D: -0.017676 Loss_G: 0.007444 Loss_D_real: -0.025030 Loss_D_fake -0.007354
[1613/5000][15/535][166464] Loss_D: -0.019340 Loss_G: 0.005816 Loss_D_real: -0.009182 Loss_D_fake 0.010158
[1613/5000][20/535][166465] Loss_D: -0.019392 Loss_G: 0.003238 Loss_D_real: -0.013015 Loss_D_fake 0.006377
[1613/5000][25/535][166466] Loss_D: -0.020904 Loss_G: 0.007119 Loss_D_real: -0.014854 Loss_D_fake 0.006051
[1613/5000][30/535][166467] Loss_D: -0.019281 Loss_G: -0.009200 Loss_D_real: 0.001623 Loss_D_fake 0.020904
[1613/5000][35/535][166468] Loss_D: -0.017566 Loss_G: 0.006883 Loss_D_real: -0.011096 Loss_D_fake 0.006470
[1613/5000][40/535][166469] Loss_D: -0.019509 Loss_G: 0.020273 Loss_D_real: -0.022414 Loss_D_fake -0.002906
[1613/5000][45/535][166470] Loss_D: -0.019292 Loss_G: 0.006257 Loss_D_real: -0.019874 Loss_D_fake -0.000582
[1613/5000][50/535][166471] Loss_D: -0.019417 Loss_G: 0.021129 Loss_D_real: -0.021611 Loss_D_fake -0.002194
[1613/5000][55/535][166472] Loss_D: -0.020899 Loss_G: -0.001377 Loss_D_real: -0.018840 Loss_D_fake 0.002059
[1613/5000][60/535][166473] Loss_D: -0.019123 Loss_G: -0.002015 Loss_D_real: -0.008642 Loss_D_fake 0.010481
[1613/5000][65/535][166474] Loss_D: -0.018545 Loss_G: -0.002152 Loss_D_real: -0.012040 Loss_D_fake 0.006505
[1613/5000][70/535][166475] Loss_D: -0.020821 Loss_G: 0.006779 Loss_D_real: -0.013250 Loss_D_fake 0.007571
[1613/5000][75/535][166476] Loss_D: -0.020357 Loss_G: 0.012569 Loss_D_real: -0.027312 Loss_D_fake -0.006955
[1613/5000][80/535][166477] Loss_D: -0.019417 Loss_G: -0.003738 Loss_D_real: -0.008725 Loss_D_fake 0.010692
[1613/5000][85/535][166478] Loss_D: -0.018017 Loss_G: -0.012191 Loss_D_real: -0.010577 Loss_D_fake 0.007439
[1613/5000][90/535][166479] Loss_D: -0.017345 Loss_G: 0.030330 Loss_D_real: -0.033858 Loss_D_fake -0.016513
[1613/5000][95/535][166480] Loss_D: -0.018588 Loss_G: 0.005694 Loss_D_real: -0.015119 Loss_D_fake 0.003469
[1613/5000][100/535][166481] Loss_D: -0.018931 Loss_G: 0.002380 Loss_D_real: -0.003562 Loss_D_fake 0.015369
[1613/5000][105/535][166482] Loss_D: -0.018852 Loss_G: 0.024213 Loss_D_real: -0.015869 Loss_D_fake 0.002983
[1613/5000][110/535][166483] Loss_D: -0.020062 Loss_G: -0.001760 Loss_D_real: -0.007877 Loss_D_fake 0.012186
[1613/5000][115/535][166484] Loss_D: -0.020134 Loss_G: 0.011205 Loss_D_real: -0.014564 Loss_D_fake 0.005570
[1613/5000][120/535][166485] Loss_D: -0.019823 Loss_G: 0.024696 Loss_D_real: -0.022490 Loss_D_fake -0.002667
[1613/5000][125/535][166486] Loss_D: -0.018782 Loss_G: 0.009210 Loss_D_real: -0.018899 Loss_D_fake -0.000118
[1613/5000][130/535][166487] Loss_D: -0.019735 Loss_G: 0.003524 Loss_D_real: -0.012615 Loss_D_fake 0.007121
[1613/5000][135/535][166488] Loss_D: -0.018386 Loss_G: 0.000896 Loss_D_real: -0.012439 Loss_D_fake 0.005946
[1613/5000][140/535][166489] Loss_D: -0.018466 Loss_G: 0.012533 Loss_D_real: -0.024715 Loss_D_fake -0.006249
[1613/5000][145/535][166490] Loss_D: -0.017755 Loss_G: 0.004607 Loss_D_real: -0.019769 Loss_D_fake -0.002013
[1613/5000][150/535][166491] Loss_D: -0.017915 Loss_G: 0.014851 Loss_D_real: -0.018943 Loss_D_fake -0.001028
[1613/5000][155/535][166492] Loss_D: -0.017516 Loss_G: 0.020686 Loss_D_real: -0.022684 Loss_D_fake -0.005169
[1613/5000][160/535][166493] Loss_D: -0.018733 Loss_G: 0.021354 Loss_D_real: -0.023448 Loss_D_fake -0.004715
[1613/5000][165/535][166494] Loss_D: -0.018187 Loss_G: -0.003083 Loss_D_real: -0.018119 Loss_D_fake 0.000068
[1613/5000][170/535][166495] Loss_D: -0.018994 Loss_G: 0.012952 Loss_D_real: -0.010060 Loss_D_fake 0.008934
[1613/5000][175/535][166496] Loss_D: -0.019539 Loss_G: 0.006919 Loss_D_real: -0.013610 Loss_D_fake 0.005929
[1613/5000][180/535][166497] Loss_D: -0.019596 Loss_G: 0.003655 Loss_D_real: -0.014971 Loss_D_fake 0.004625
[1613/5000][185/535][166498] Loss_D: -0.018521 Loss_G: 0.013975 Loss_D_real: -0.027984 Loss_D_fake -0.009463
[1613/5000][190/535][166499] Loss_D: -0.018542 Loss_G: 0.002882 Loss_D_real: -0.019308 Loss_D_fake -0.000766
[1613/5000][195/535][166500] Loss_D: -0.019628 Loss_G: 0.010429 Loss_D_real: -0.012680 Loss_D_fake 0.006948
[1613/5000][295/535][166501] Loss_D: -0.023785 Loss_G: 0.025438 Loss_D_real: -0.031453 Loss_D_fake -0.007668
[1613/5000][300/535][166502] Loss_D: -0.018391 Loss_G: -0.004976 Loss_D_real: -0.002251 Loss_D_fake 0.016140
[1613/5000][305/535][166503] Loss_D: -0.018909 Loss_G: 0.010184 Loss_D_real: -0.022725 Loss_D_fake -0.003816
[1613/5000][310/535][166504] Loss_D: -0.017739 Loss_G: 0.010278 Loss_D_real: -0.011776 Loss_D_fake 0.005963
[1613/5000][315/535][166505] Loss_D: -0.016205 Loss_G: 0.027119 Loss_D_real: -0.023205 Loss_D_fake -0.006999
[1613/5000][320/535][166506] Loss_D: -0.017208 Loss_G: 0.005801 Loss_D_real: -0.017816 Loss_D_fake -0.000608
[1613/5000][325/535][166507] Loss_D: -0.018000 Loss_G: 0.001055 Loss_D_real: -0.010260 Loss_D_fake 0.007740
[1613/5000][330/535][166508] Loss_D: -0.018323 Loss_G: -0.004673 Loss_D_real: -0.009995 Loss_D_fake 0.008328
[1613/5000][335/535][166509] Loss_D: -0.018695 Loss_G: 0.012728 Loss_D_real: -0.008523 Loss_D_fake 0.010172
[1613/5000][340/535][166510] Loss_D: -0.017345 Loss_G: 0.000862 Loss_D_real: -0.011577 Loss_D_fake 0.005768
[1613/5000][345/535][166511] Loss_D: -0.017306 Loss_G: 0.018665 Loss_D_real: -0.027527 Loss_D_fake -0.010221
[1613/5000][350/535][166512] Loss_D: -0.019289 Loss_G: 0.009805 Loss_D_real: -0.012251 Loss_D_fake 0.007038
[1613/5000][355/535][166513] Loss_D: -0.018468 Loss_G: 0.008340 Loss_D_real: -0.039059 Loss_D_fake -0.020591
[1613/5000][360/535][166514] Loss_D: -0.019335 Loss_G: 0.001809 Loss_D_real: -0.009488 Loss_D_fake 0.009847
[1613/5000][365/535][166515] Loss_D: -0.018931 Loss_G: 0.020299 Loss_D_real: -0.027115 Loss_D_fake -0.008184
[1613/5000][370/535][166516] Loss_D: -0.019683 Loss_G: -0.010501 Loss_D_real: -0.010309 Loss_D_fake 0.009374
[1613/5000][375/535][166517] Loss_D: -0.018809 Loss_G: 0.014804 Loss_D_real: -0.021669 Loss_D_fake -0.002860
[1613/5000][380/535][166518] Loss_D: -0.018684 Loss_G: 0.010062 Loss_D_real: -0.024761 Loss_D_fake -0.006078
[1613/5000][385/535][166519] Loss_D: -0.019380 Loss_G: -0.001191 Loss_D_real: -0.026803 Loss_D_fake -0.007423
[1613/5000][390/535][166520] Loss_D: -0.019863 Loss_G: 0.006884 Loss_D_real: -0.011179 Loss_D_fake 0.008684
[1613/5000][395/535][166521] Loss_D: -0.018058 Loss_G: 0.016085 Loss_D_real: -0.017784 Loss_D_fake 0.000274
[1613/5000][400/535][166522] Loss_D: -0.018640 Loss_G: 0.003174 Loss_D_real: -0.019524 Loss_D_fake -0.000884
[1613/5000][405/535][166523] Loss_D: -0.020277 Loss_G: 0.021390 Loss_D_real: -0.018497 Loss_D_fake 0.001780
[1613/5000][410/535][166524] Loss_D: -0.018490 Loss_G: 0.004104 Loss_D_real: -0.025444 Loss_D_fake -0.006953
[1613/5000][415/535][166525] Loss_D: -0.018177 Loss_G: -0.005760 Loss_D_real: -0.013391 Loss_D_fake 0.004786
[1613/5000][420/535][166526] Loss_D: -0.018928 Loss_G: 0.022781 Loss_D_real: -0.009128 Loss_D_fake 0.009800
[1613/5000][425/535][166527] Loss_D: -0.018285 Loss_G: -0.000879 Loss_D_real: -0.016398 Loss_D_fake 0.001888
[1613/5000][430/535][166528] Loss_D: -0.019451 Loss_G: 0.007135 Loss_D_real: -0.021063 Loss_D_fake -0.001612
[1613/5000][435/535][166529] Loss_D: -0.017756 Loss_G: 0.021464 Loss_D_real: -0.022054 Loss_D_fake -0.004298
[1613/5000][440/535][166530] Loss_D: -0.018224 Loss_G: 0.025595 Loss_D_real: -0.021672 Loss_D_fake -0.003448
[1613/5000][445/535][166531] Loss_D: -0.018506 Loss_G: 0.011945 Loss_D_real: -0.027855 Loss_D_fake -0.009349
[1613/5000][450/535][166532] Loss_D: -0.019894 Loss_G: -0.006061 Loss_D_real: -0.014965 Loss_D_fake 0.004928
[1613/5000][455/535][166533] Loss_D: -0.015903 Loss_G: 0.027685 Loss_D_real: -0.031128 Loss_D_fake -0.015225
[1613/5000][460/535][166534] Loss_D: -0.020339 Loss_G: 0.009917 Loss_D_real: -0.022235 Loss_D_fake -0.001896
[1613/5000][465/535][166535] Loss_D: -0.019683 Loss_G: 0.010458 Loss_D_real: -0.018315 Loss_D_fake 0.001368
[1613/5000][470/535][166536] Loss_D: -0.018968 Loss_G: 0.015543 Loss_D_real: -0.016722 Loss_D_fake 0.002247
[1613/5000][475/535][166537] Loss_D: -0.017078 Loss_G: 0.019519 Loss_D_real: -0.030034 Loss_D_fake -0.012956
[1613/5000][480/535][166538] Loss_D: -0.018576 Loss_G: 0.010659 Loss_D_real: -0.016916 Loss_D_fake 0.001660
[1613/5000][485/535][166539] Loss_D: -0.018902 Loss_G: -0.007028 Loss_D_real: -0.011286 Loss_D_fake 0.007616
[1613/5000][490/535][166540] Loss_D: -0.018374 Loss_G: 0.032630 Loss_D_real: -0.026457 Loss_D_fake -0.008082
[1613/5000][495/535][166541] Loss_D: -0.019659 Loss_G: 0.005309 Loss_D_real: -0.011458 Loss_D_fake 0.008200
[1613/5000][500/535][166542] Loss_D: -0.019619 Loss_G: -0.004967 Loss_D_real: -0.025124 Loss_D_fake -0.005505
[1613/5000][505/535][166543] Loss_D: -0.018996 Loss_G: 0.015290 Loss_D_real: -0.020279 Loss_D_fake -0.001284
[1613/5000][510/535][166544] Loss_D: -0.019483 Loss_G: -0.001889 Loss_D_real: -0.023156 Loss_D_fake -0.003673
[1613/5000][515/535][166545] Loss_D: -0.018781 Loss_G: 0.032849 Loss_D_real: -0.029910 Loss_D_fake -0.011129
[1613/5000][520/535][166546] Loss_D: -0.019659 Loss_G: 0.007917 Loss_D_real: -0.030232 Loss_D_fake -0.010573
[1613/5000][525/535][166547] Loss_D: -0.018833 Loss_G: 0.006285 Loss_D_real: -0.015854 Loss_D_fake 0.002980
[1613/5000][530/535][166548] Loss_D: -0.020912 Loss_G: -0.012625 Loss_D_real: -0.024582 Loss_D_fake -0.003670
[1613/5000][535/535][166549] Loss_D: -0.019086 Loss_G: 0.027674 Loss_D_real: -0.015585 Loss_D_fake 0.003502
[1614/5000][5/535][166550] Loss_D: -0.018099 Loss_G: 0.020738 Loss_D_real: -0.016305 Loss_D_fake 0.001794
[1614/5000][10/535][166551] Loss_D: -0.018509 Loss_G: -0.009928 Loss_D_real: -0.000011 Loss_D_fake 0.018498
[1614/5000][15/535][166552] Loss_D: -0.019162 Loss_G: 0.004271 Loss_D_real: -0.006818 Loss_D_fake 0.012344
[1614/5000][20/535][166553] Loss_D: -0.017720 Loss_G: -0.007245 Loss_D_real: 0.009601 Loss_D_fake 0.027321
[1614/5000][25/535][166554] Loss_D: -0.018362 Loss_G: 0.009749 Loss_D_real: -0.011132 Loss_D_fake 0.007230
[1614/5000][30/535][166555] Loss_D: -0.019125 Loss_G: 0.004229 Loss_D_real: -0.011772 Loss_D_fake 0.007354
[1614/5000][35/535][166556] Loss_D: -0.019734 Loss_G: -0.001538 Loss_D_real: -0.009641 Loss_D_fake 0.010093
[1614/5000][40/535][166557] Loss_D: -0.020601 Loss_G: 0.017732 Loss_D_real: -0.019770 Loss_D_fake 0.000831
[1614/5000][45/535][166558] Loss_D: -0.019743 Loss_G: 0.013471 Loss_D_real: -0.010768 Loss_D_fake 0.008976
[1614/5000][50/535][166559] Loss_D: -0.017370 Loss_G: 0.026703 Loss_D_real: -0.032087 Loss_D_fake -0.014718
[1614/5000][55/535][166560] Loss_D: -0.019115 Loss_G: -0.002632 Loss_D_real: -0.020215 Loss_D_fake -0.001100
[1614/5000][60/535][166561] Loss_D: -0.020296 Loss_G: 0.011707 Loss_D_real: -0.021385 Loss_D_fake -0.001088
[1614/5000][65/535][166562] Loss_D: -0.020398 Loss_G: 0.007070 Loss_D_real: -0.013013 Loss_D_fake 0.007385
[1614/5000][70/535][166563] Loss_D: -0.020287 Loss_G: 0.002281 Loss_D_real: -0.017309 Loss_D_fake 0.002978
[1614/5000][75/535][166564] Loss_D: -0.020588 Loss_G: 0.013511 Loss_D_real: -0.008378 Loss_D_fake 0.012210
[1614/5000][80/535][166565] Loss_D: -0.019851 Loss_G: 0.005844 Loss_D_real: -0.016944 Loss_D_fake 0.002906
[1614/5000][85/535][166566] Loss_D: -0.019505 Loss_G: -0.010015 Loss_D_real: 0.004334 Loss_D_fake 0.023839
[1614/5000][90/535][166567] Loss_D: -0.021132 Loss_G: -0.003577 Loss_D_real: -0.027122 Loss_D_fake -0.005990
[1614/5000][95/535][166568] Loss_D: -0.017898 Loss_G: 0.023858 Loss_D_real: -0.026668 Loss_D_fake -0.008769
[1614/5000][100/535][166569] Loss_D: -0.020137 Loss_G: 0.007901 Loss_D_real: -0.005978 Loss_D_fake 0.014159
[1614/5000][105/535][166570] Loss_D: -0.019308 Loss_G: 0.008332 Loss_D_real: -0.016627 Loss_D_fake 0.002681
[1614/5000][110/535][166571] Loss_D: -0.018550 Loss_G: -0.011805 Loss_D_real: -0.020144 Loss_D_fake -0.001594
[1614/5000][115/535][166572] Loss_D: -0.018846 Loss_G: -0.006631 Loss_D_real: 0.004171 Loss_D_fake 0.023016
[1614/5000][120/535][166573] Loss_D: -0.019483 Loss_G: 0.014354 Loss_D_real: -0.012335 Loss_D_fake 0.007148
[1614/5000][125/535][166574] Loss_D: -0.019980 Loss_G: 0.000347 Loss_D_real: -0.019856 Loss_D_fake 0.000124
[1614/5000][130/535][166575] Loss_D: -0.018936 Loss_G: 0.028023 Loss_D_real: -0.020292 Loss_D_fake -0.001355
[1614/5000][135/535][166576] Loss_D: -0.019323 Loss_G: 0.016323 Loss_D_real: -0.020992 Loss_D_fake -0.001669
[1614/5000][140/535][166577] Loss_D: -0.018316 Loss_G: 0.009991 Loss_D_real: -0.032097 Loss_D_fake -0.013781
[1614/5000][145/535][166578] Loss_D: -0.018738 Loss_G: 0.007322 Loss_D_real: -0.028178 Loss_D_fake -0.009440
[1614/5000][150/535][166579] Loss_D: -0.020230 Loss_G: -0.003530 Loss_D_real: -0.005784 Loss_D_fake 0.014446
[1614/5000][155/535][166580] Loss_D: -0.016602 Loss_G: 0.007448 Loss_D_real: -0.013627 Loss_D_fake 0.002975
[1614/5000][160/535][166581] Loss_D: -0.019355 Loss_G: -0.000877 Loss_D_real: 0.012383 Loss_D_fake 0.031738
[1614/5000][165/535][166582] Loss_D: -0.018934 Loss_G: -0.004627 Loss_D_real: -0.017666 Loss_D_fake 0.001269
[1614/5000][170/535][166583] Loss_D: -0.019267 Loss_G: 0.007278 Loss_D_real: -0.013546 Loss_D_fake 0.005721
[1614/5000][175/535][166584] Loss_D: -0.018468 Loss_G: 0.018552 Loss_D_real: -0.017619 Loss_D_fake 0.000849
[1614/5000][180/535][166585] Loss_D: -0.018344 Loss_G: -0.003565 Loss_D_real: 0.000463 Loss_D_fake 0.018807
[1614/5000][185/535][166586] Loss_D: -0.018653 Loss_G: -0.006783 Loss_D_real: -0.009848 Loss_D_fake 0.008805
[1614/5000][190/535][166587] Loss_D: -0.019107 Loss_G: 0.001165 Loss_D_real: -0.008477 Loss_D_fake 0.010630
[1614/5000][195/535][166588] Loss_D: -0.020368 Loss_G: -0.004655 Loss_D_real: -0.010304 Loss_D_fake 0.010064
[1614/5000][200/535][166589] Loss_D: -0.019401 Loss_G: -0.010309 Loss_D_real: 0.003007 Loss_D_fake 0.022408
[1614/5000][205/535][166590] Loss_D: -0.019887 Loss_G: -0.005769 Loss_D_real: -0.004307 Loss_D_fake 0.015580
[1614/5000][210/535][166591] Loss_D: -0.018684 Loss_G: 0.012693 Loss_D_real: -0.025647 Loss_D_fake -0.006963
[1614/5000][215/535][166592] Loss_D: -0.020732 Loss_G: -0.005518 Loss_D_real: -0.010744 Loss_D_fake 0.009988
[1614/5000][220/535][166593] Loss_D: -0.018648 Loss_G: 0.021470 Loss_D_real: -0.030147 Loss_D_fake -0.011498
[1614/5000][225/535][166594] Loss_D: -0.019446 Loss_G: -0.006759 Loss_D_real: -0.011411 Loss_D_fake 0.008034
[1614/5000][230/535][166595] Loss_D: -0.018955 Loss_G: 0.012870 Loss_D_real: -0.003623 Loss_D_fake 0.015332
[1614/5000][235/535][166596] Loss_D: -0.017959 Loss_G: 0.004224 Loss_D_real: -0.012323 Loss_D_fake 0.005636
[1614/5000][240/535][166597] Loss_D: -0.018523 Loss_G: 0.021349 Loss_D_real: -0.026905 Loss_D_fake -0.008382
[1614/5000][245/535][166598] Loss_D: -0.021029 Loss_G: 0.016350 Loss_D_real: -0.019272 Loss_D_fake 0.001757
[1614/5000][250/535][166599] Loss_D: -0.020350 Loss_G: 0.016317 Loss_D_real: -0.021946 Loss_D_fake -0.001595
[1614/5000][255/535][166600] Loss_D: -0.020872 Loss_G: 0.019209 Loss_D_real: -0.024224 Loss_D_fake -0.003352
[1614/5000][260/535][166601] Loss_D: -0.019634 Loss_G: 0.009696 Loss_D_real: -0.013398 Loss_D_fake 0.006237
[1614/5000][265/535][166602] Loss_D: -0.020293 Loss_G: 0.003332 Loss_D_real: -0.015703 Loss_D_fake 0.004590
[1614/5000][270/535][166603] Loss_D: -0.018435 Loss_G: 0.001697 Loss_D_real: -0.012906 Loss_D_fake 0.005528
[1614/5000][275/535][166604] Loss_D: -0.017016 Loss_G: 0.022488 Loss_D_real: -0.029081 Loss_D_fake -0.012065
[1614/5000][280/535][166605] Loss_D: -0.017859 Loss_G: 0.029537 Loss_D_real: -0.029681 Loss_D_fake -0.011822
[1614/5000][285/535][166606] Loss_D: -0.019716 Loss_G: 0.010067 Loss_D_real: -0.019932 Loss_D_fake -0.000216
[1614/5000][290/535][166607] Loss_D: -0.019995 Loss_G: 0.014047 Loss_D_real: -0.016168 Loss_D_fake 0.003827
[1614/5000][295/535][166608] Loss_D: -0.017862 Loss_G: 0.001999 Loss_D_real: -0.020987 Loss_D_fake -0.003124
[1614/5000][300/535][166609] Loss_D: -0.019597 Loss_G: -0.011977 Loss_D_real: -0.014166 Loss_D_fake 0.005430
[1614/5000][305/535][166610] Loss_D: -0.018829 Loss_G: 0.028384 Loss_D_real: -0.027483 Loss_D_fake -0.008655
[1614/5000][310/535][166611] Loss_D: -0.018600 Loss_G: 0.016765 Loss_D_real: -0.032625 Loss_D_fake -0.014025
[1614/5000][315/535][166612] Loss_D: -0.019722 Loss_G: -0.002905 Loss_D_real: -0.011099 Loss_D_fake 0.008623
[1614/5000][320/535][166613] Loss_D: -0.019011 Loss_G: 0.024273 Loss_D_real: -0.025757 Loss_D_fake -0.006746
[1614/5000][325/535][166614] Loss_D: -0.019151 Loss_G: -0.015899 Loss_D_real: -0.006240 Loss_D_fake 0.012911
[1614/5000][330/535][166615] Loss_D: -0.018591 Loss_G: 0.006469 Loss_D_real: -0.013685 Loss_D_fake 0.004906
[1614/5000][335/535][166616] Loss_D: -0.018993 Loss_G: 0.009081 Loss_D_real: -0.015990 Loss_D_fake 0.003002
[1614/5000][340/535][166617] Loss_D: -0.018279 Loss_G: 0.014490 Loss_D_real: -0.032307 Loss_D_fake -0.014028
[1614/5000][345/535][166618] Loss_D: -0.018354 Loss_G: 0.009939 Loss_D_real: -0.012734 Loss_D_fake 0.005619
[1614/5000][350/535][166619] Loss_D: -0.018754 Loss_G: 0.017135 Loss_D_real: -0.019181 Loss_D_fake -0.000427
[1614/5000][355/535][166620] Loss_D: -0.019649 Loss_G: -0.008432 Loss_D_real: -0.008844 Loss_D_fake 0.010805
[1614/5000][360/535][166621] Loss_D: -0.017951 Loss_G: 0.010357 Loss_D_real: -0.025032 Loss_D_fake -0.007081
[1614/5000][365/535][166622] Loss_D: -0.019231 Loss_G: 0.006550 Loss_D_real: -0.013953 Loss_D_fake 0.005278
[1614/5000][370/535][166623] Loss_D: -0.017263 Loss_G: -0.013460 Loss_D_real: 0.005278 Loss_D_fake 0.022542
[1614/5000][375/535][166624] Loss_D: -0.018705 Loss_G: 0.006194 Loss_D_real: -0.016958 Loss_D_fake 0.001747
[1614/5000][380/535][166625] Loss_D: -0.019151 Loss_G: 0.007202 Loss_D_real: -0.016975 Loss_D_fake 0.002176
[1614/5000][385/535][166626] Loss_D: -0.019403 Loss_G: -0.001622 Loss_D_real: -0.027754 Loss_D_fake -0.008351
[1614/5000][390/535][166627] Loss_D: -0.018536 Loss_G: 0.008067 Loss_D_real: -0.014541 Loss_D_fake 0.003995
[1614/5000][395/535][166628] Loss_D: -0.019031 Loss_G: 0.002202 Loss_D_real: -0.015531 Loss_D_fake 0.003500
[1614/5000][400/535][166629] Loss_D: -0.021019 Loss_G: -0.002744 Loss_D_real: -0.002629 Loss_D_fake 0.018390
[1614/5000][405/535][166630] Loss_D: -0.019411 Loss_G: 0.007058 Loss_D_real: -0.021098 Loss_D_fake -0.001687
[1614/5000][410/535][166631] Loss_D: -0.017048 Loss_G: -0.019487 Loss_D_real: 0.001984 Loss_D_fake 0.019032
[1614/5000][415/535][166632] Loss_D: -0.019739 Loss_G: -0.003944 Loss_D_real: -0.013199 Loss_D_fake 0.006540
[1614/5000][420/535][166633] Loss_D: -0.020137 Loss_G: 0.005908 Loss_D_real: -0.020398 Loss_D_fake -0.000261
[1614/5000][425/535][166634] Loss_D: -0.018938 Loss_G: 0.018634 Loss_D_real: -0.009155 Loss_D_fake 0.009783
[1614/5000][430/535][166635] Loss_D: -0.019239 Loss_G: -0.006884 Loss_D_real: -0.009427 Loss_D_fake 0.009811
[1614/5000][435/535][166636] Loss_D: -0.020552 Loss_G: -0.000367 Loss_D_real: -0.011770 Loss_D_fake 0.008782
[1614/5000][440/535][166637] Loss_D: -0.018146 Loss_G: 0.010593 Loss_D_real: -0.021119 Loss_D_fake -0.002973
[1614/5000][445/535][166638] Loss_D: -0.019732 Loss_G: 0.006831 Loss_D_real: -0.029613 Loss_D_fake -0.009881
[1614/5000][450/535][166639] Loss_D: -0.020918 Loss_G: 0.006457 Loss_D_real: -0.016921 Loss_D_fake 0.003997
[1614/5000][455/535][166640] Loss_D: -0.016996 Loss_G: -0.021977 Loss_D_real: 0.013529 Loss_D_fake 0.030526
[1614/5000][460/535][166641] Loss_D: -0.018553 Loss_G: -0.003112 Loss_D_real: -0.013192 Loss_D_fake 0.005361
[1614/5000][465/535][166642] Loss_D: -0.018922 Loss_G: 0.007939 Loss_D_real: -0.003818 Loss_D_fake 0.015104
[1614/5000][470/535][166643] Loss_D: -0.020284 Loss_G: 0.001660 Loss_D_real: -0.007527 Loss_D_fake 0.012757
[1614/5000][475/535][166644] Loss_D: -0.019628 Loss_G: -0.001374 Loss_D_real: -0.010599 Loss_D_fake 0.009030
[1614/5000][480/535][166645] Loss_D: -0.018803 Loss_G: -0.009940 Loss_D_real: -0.004084 Loss_D_fake 0.014719
[1614/5000][485/535][166646] Loss_D: -0.017949 Loss_G: -0.008610 Loss_D_real: -0.027425 Loss_D_fake -0.009476
[1614/5000][490/535][166647] Loss_D: -0.019546 Loss_G: 0.009281 Loss_D_real: -0.016246 Loss_D_fake 0.003300
[1614/5000][495/535][166648] Loss_D: -0.018939 Loss_G: 0.005788 Loss_D_real: -0.017771 Loss_D_fake 0.001168
[1614/5000][500/535][166649] Loss_D: -0.019122 Loss_G: 0.008875 Loss_D_real: -0.017117 Loss_D_fake 0.002006
[1614/5000][505/535][166650] Loss_D: -0.019986 Loss_G: 0.012829 Loss_D_real: -0.022511 Loss_D_fake -0.002525
[1614/5000][510/535][166651] Loss_D: -0.019135 Loss_G: 0.014161 Loss_D_real: -0.011029 Loss_D_fake 0.008106
[1614/5000][515/535][166652] Loss_D: -0.019537 Loss_G: 0.016363 Loss_D_real: -0.019431 Loss_D_fake 0.000106
[1614/5000][520/535][166653] Loss_D: -0.019571 Loss_G: 0.013356 Loss_D_real: -0.021977 Loss_D_fake -0.002407
[1614/5000][525/535][166654] Loss_D: -0.018726 Loss_G: -0.012075 Loss_D_real: 0.000342 Loss_D_fake 0.019068
[1614/5000][530/535][166655] Loss_D: -0.019360 Loss_G: -0.003861 Loss_D_real: -0.004118 Loss_D_fake 0.015242
[1614/5000][535/535][166656] Loss_D: -0.016679 Loss_G: -0.002794 Loss_D_real: -0.006637 Loss_D_fake 0.010042
[1615/5000][5/535][166657] Loss_D: -0.021169 Loss_G: 0.010143 Loss_D_real: -0.011943 Loss_D_fake 0.009226
[1615/5000][10/535][166658] Loss_D: -0.020186 Loss_G: 0.015581 Loss_D_real: -0.011714 Loss_D_fake 0.008472
[1615/5000][15/535][166659] Loss_D: -0.020293 Loss_G: 0.011202 Loss_D_real: -0.015594 Loss_D_fake 0.004699
[1615/5000][20/535][166660] Loss_D: -0.020136 Loss_G: 0.006704 Loss_D_real: -0.016125 Loss_D_fake 0.004012
[1615/5000][25/535][166661] Loss_D: -0.020462 Loss_G: 0.002513 Loss_D_real: -0.016975 Loss_D_fake 0.003487
[1615/5000][30/535][166662] Loss_D: -0.017548 Loss_G: -0.001461 Loss_D_real: -0.011833 Loss_D_fake 0.005715
[1615/5000][35/535][166663] Loss_D: -0.018617 Loss_G: 0.000896 Loss_D_real: -0.022489 Loss_D_fake -0.003871
[1615/5000][40/535][166664] Loss_D: -0.017880 Loss_G: 0.028076 Loss_D_real: -0.035837 Loss_D_fake -0.017958
[1615/5000][45/535][166665] Loss_D: -0.020110 Loss_G: 0.001868 Loss_D_real: -0.011270 Loss_D_fake 0.008840
[1615/5000][50/535][166666] Loss_D: -0.019692 Loss_G: 0.021941 Loss_D_real: -0.021677 Loss_D_fake -0.001985
[1615/5000][55/535][166667] Loss_D: -0.019130 Loss_G: -0.000997 Loss_D_real: -0.021578 Loss_D_fake -0.002448
[1615/5000][60/535][166668] Loss_D: -0.019917 Loss_G: -0.013868 Loss_D_real: -0.008607 Loss_D_fake 0.011310
[1615/5000][65/535][166669] Loss_D: -0.018376 Loss_G: -0.008802 Loss_D_real: -0.011400 Loss_D_fake 0.006976
[1615/5000][70/535][166670] Loss_D: -0.018782 Loss_G: 0.003119 Loss_D_real: -0.011010 Loss_D_fake 0.007772
[1615/5000][75/535][166671] Loss_D: -0.017851 Loss_G: 0.016574 Loss_D_real: -0.019322 Loss_D_fake -0.001472
[1615/5000][80/535][166672] Loss_D: -0.016530 Loss_G: 0.018892 Loss_D_real: -0.027686 Loss_D_fake -0.011157
[1615/5000][85/535][166673] Loss_D: -0.019825 Loss_G: 0.010645 Loss_D_real: -0.014075 Loss_D_fake 0.005750
[1615/5000][90/535][166674] Loss_D: -0.019614 Loss_G: 0.018455 Loss_D_real: -0.011845 Loss_D_fake 0.007769
[1615/5000][95/535][166675] Loss_D: -0.018554 Loss_G: 0.014049 Loss_D_real: -0.019405 Loss_D_fake -0.000851
[1615/5000][100/535][166676] Loss_D: -0.018080 Loss_G: -0.001534 Loss_D_real: -0.021926 Loss_D_fake -0.003846
[1615/5000][105/535][166677] Loss_D: -0.018608 Loss_G: 0.002723 Loss_D_real: -0.011789 Loss_D_fake 0.006819
[1615/5000][110/535][166678] Loss_D: -0.018218 Loss_G: -0.010528 Loss_D_real: 0.005790 Loss_D_fake 0.024008
[1615/5000][115/535][166679] Loss_D: -0.018184 Loss_G: 0.019033 Loss_D_real: -0.020751 Loss_D_fake -0.002567
[1615/5000][120/535][166680] Loss_D: -0.019138 Loss_G: -0.002988 Loss_D_real: -0.007596 Loss_D_fake 0.011543
[1615/5000][125/535][166681] Loss_D: -0.018842 Loss_G: 0.006868 Loss_D_real: -0.017483 Loss_D_fake 0.001359
[1615/5000][130/535][166682] Loss_D: -0.018328 Loss_G: -0.005455 Loss_D_real: -0.001099 Loss_D_fake 0.017229
[1615/5000][135/535][166683] Loss_D: -0.019688 Loss_G: 0.015441 Loss_D_real: -0.020941 Loss_D_fake -0.001253
[1615/5000][140/535][166684] Loss_D: -0.019536 Loss_G: 0.000384 Loss_D_real: -0.025690 Loss_D_fake -0.006154
[1615/5000][145/535][166685] Loss_D: -0.018256 Loss_G: 0.008991 Loss_D_real: -0.017656 Loss_D_fake 0.000601
[1615/5000][150/535][166686] Loss_D: -0.016737 Loss_G: 0.013624 Loss_D_real: -0.037803 Loss_D_fake -0.021066
[1615/5000][155/535][166687] Loss_D: -0.019159 Loss_G: 0.007805 Loss_D_real: -0.022626 Loss_D_fake -0.003467
[1615/5000][160/535][166688] Loss_D: -0.018295 Loss_G: 0.014657 Loss_D_real: -0.023714 Loss_D_fake -0.005419
[1615/5000][165/535][166689] Loss_D: -0.018581 Loss_G: -0.007272 Loss_D_real: -0.006238 Loss_D_fake 0.012343
[1615/5000][170/535][166690] Loss_D: -0.018166 Loss_G: 0.020902 Loss_D_real: -0.016170 Loss_D_fake 0.001995
[1615/5000][175/535][166691] Loss_D: -0.019237 Loss_G: 0.001923 Loss_D_real: -0.013326 Loss_D_fake 0.005911
[1615/5000][180/535][166692] Loss_D: -0.019095 Loss_G: 0.005948 Loss_D_real: -0.010916 Loss_D_fake 0.008180
[1615/5000][185/535][166693] Loss_D: -0.019632 Loss_G: 0.007494 Loss_D_real: -0.019995 Loss_D_fake -0.000363
[1615/5000][190/535][166694] Loss_D: -0.019023 Loss_G: 0.013326 Loss_D_real: -0.018347 Loss_D_fake 0.000676
[1615/5000][195/535][166695] Loss_D: -0.019637 Loss_G: -0.019706 Loss_D_real: -0.009104 Loss_D_fake 0.010533
[1615/5000][200/535][166696] Loss_D: -0.017867 Loss_G: 0.014606 Loss_D_real: -0.016600 Loss_D_fake 0.001267
[1615/5000][205/535][166697] Loss_D: -0.019170 Loss_G: 0.027729 Loss_D_real: -0.026356 Loss_D_fake -0.007186
[1615/5000][210/535][166698] Loss_D: -0.020733 Loss_G: 0.013674 Loss_D_real: -0.016285 Loss_D_fake 0.004448
[1615/5000][215/535][166699] Loss_D: -0.019476 Loss_G: -0.019667 Loss_D_real: -0.017376 Loss_D_fake 0.002100
[1615/5000][220/535][166700] Loss_D: -0.020602 Loss_G: 0.011948 Loss_D_real: -0.014913 Loss_D_fake 0.005690
[1615/5000][225/535][166701] Loss_D: -0.020453 Loss_G: -0.006397 Loss_D_real: -0.011479 Loss_D_fake 0.008974
[1615/5000][230/535][166702] Loss_D: -0.020039 Loss_G: 0.022524 Loss_D_real: -0.016877 Loss_D_fake 0.003162
[1615/5000][235/535][166703] Loss_D: -0.017568 Loss_G: -0.016250 Loss_D_real: -0.013060 Loss_D_fake 0.004508
[1615/5000][240/535][166704] Loss_D: -0.019399 Loss_G: 0.013378 Loss_D_real: -0.017510 Loss_D_fake 0.001889
[1615/5000][245/535][166705] Loss_D: -0.018828 Loss_G: -0.003115 Loss_D_real: -0.009969 Loss_D_fake 0.008859
[1615/5000][250/535][166706] Loss_D: -0.019232 Loss_G: 0.014511 Loss_D_real: -0.020254 Loss_D_fake -0.001022
[1615/5000][255/535][166707] Loss_D: -0.018914 Loss_G: 0.006950 Loss_D_real: -0.011759 Loss_D_fake 0.007154
[1615/5000][260/535][166708] Loss_D: -0.018185 Loss_G: 0.027485 Loss_D_real: -0.029745 Loss_D_fake -0.011560
[1615/5000][265/535][166709] Loss_D: -0.019441 Loss_G: 0.002574 Loss_D_real: -0.004501 Loss_D_fake 0.014940
[1615/5000][270/535][166710] Loss_D: -0.019196 Loss_G: 0.007984 Loss_D_real: -0.011096 Loss_D_fake 0.008100
[1615/5000][275/535][166711] Loss_D: -0.019114 Loss_G: 0.011604 Loss_D_real: -0.028518 Loss_D_fake -0.009404
[1615/5000][280/535][166712] Loss_D: -0.019083 Loss_G: 0.025386 Loss_D_real: -0.021990 Loss_D_fake -0.002907
[1615/5000][285/535][166713] Loss_D: -0.019633 Loss_G: -0.004402 Loss_D_real: -0.008483 Loss_D_fake 0.011150
[1615/5000][290/535][166714] Loss_D: -0.019797 Loss_G: 0.001266 Loss_D_real: -0.010572 Loss_D_fake 0.009225
[1615/5000][295/535][166715] Loss_D: -0.018408 Loss_G: 0.011353 Loss_D_real: -0.025297 Loss_D_fake -0.006888
[1615/5000][300/535][166716] Loss_D: -0.018563 Loss_G: 0.019157 Loss_D_real: -0.012169 Loss_D_fake 0.006395
[1615/5000][305/535][166717] Loss_D: -0.019729 Loss_G: -0.002640 Loss_D_real: -0.001082 Loss_D_fake 0.018647
[1615/5000][310/535][166718] Loss_D: -0.018990 Loss_G: 0.008346 Loss_D_real: -0.002517 Loss_D_fake 0.016473
[1615/5000][315/535][166719] Loss_D: -0.019363 Loss_G: 0.020791 Loss_D_real: -0.024136 Loss_D_fake -0.004773
[1615/5000][320/535][166720] Loss_D: -0.019268 Loss_G: 0.000327 Loss_D_real: -0.010676 Loss_D_fake 0.008592
[1615/5000][325/535][166721] Loss_D: -0.018942 Loss_G: -0.004851 Loss_D_real: -0.011707 Loss_D_fake 0.007235
[1615/5000][330/535][166722] Loss_D: -0.018857 Loss_G: 0.025987 Loss_D_real: -0.022586 Loss_D_fake -0.003729
[1615/5000][335/535][166723] Loss_D: -0.019072 Loss_G: 0.017543 Loss_D_real: -0.023672 Loss_D_fake -0.004601
[1615/5000][340/535][166724] Loss_D: -0.020595 Loss_G: 0.016327 Loss_D_real: -0.020439 Loss_D_fake 0.000156
[1615/5000][345/535][166725] Loss_D: -0.020911 Loss_G: -0.005116 Loss_D_real: -0.011527 Loss_D_fake 0.009384
[1615/5000][350/535][166726] Loss_D: -0.018092 Loss_G: 0.026539 Loss_D_real: -0.023571 Loss_D_fake -0.005479
[1615/5000][355/535][166727] Loss_D: -0.019885 Loss_G: 0.010706 Loss_D_real: -0.031353 Loss_D_fake -0.011467
[1615/5000][360/535][166728] Loss_D: -0.017606 Loss_G: 0.022174 Loss_D_real: -0.031019 Loss_D_fake -0.013413
[1615/5000][365/535][166729] Loss_D: -0.020158 Loss_G: -0.000851 Loss_D_real: -0.011020 Loss_D_fake 0.009138
[1615/5000][370/535][166730] Loss_D: -0.019679 Loss_G: 0.022692 Loss_D_real: -0.012329 Loss_D_fake 0.007350
[1615/5000][375/535][166731] Loss_D: -0.019572 Loss_G: 0.003033 Loss_D_real: -0.015630 Loss_D_fake 0.003942
[1615/5000][380/535][166732] Loss_D: -0.020507 Loss_G: 0.004158 Loss_D_real: -0.010176 Loss_D_fake 0.010331
[1615/5000][385/535][166733] Loss_D: -0.018164 Loss_G: -0.015109 Loss_D_real: -0.006191 Loss_D_fake 0.011973
[1615/5000][390/535][166734] Loss_D: -0.018349 Loss_G: 0.021340 Loss_D_real: -0.022747 Loss_D_fake -0.004397
[1615/5000][395/535][166735] Loss_D: -0.019592 Loss_G: 0.009066 Loss_D_real: -0.021792 Loss_D_fake -0.002200
[1615/5000][400/535][166736] Loss_D: -0.019181 Loss_G: 0.018456 Loss_D_real: -0.012115 Loss_D_fake 0.007066
[1615/5000][405/535][166737] Loss_D: -0.018641 Loss_G: -0.008488 Loss_D_real: 0.003218 Loss_D_fake 0.021858
[1615/5000][410/535][166738] Loss_D: -0.018523 Loss_G: 0.009885 Loss_D_real: -0.017994 Loss_D_fake 0.000529
[1615/5000][415/535][166739] Loss_D: -0.019815 Loss_G: -0.000880 Loss_D_real: -0.017704 Loss_D_fake 0.002112
[1615/5000][420/535][166740] Loss_D: -0.019108 Loss_G: -0.005221 Loss_D_real: -0.016968 Loss_D_fake 0.002140
[1615/5000][425/535][166741] Loss_D: -0.018879 Loss_G: 0.006660 Loss_D_real: -0.006792 Loss_D_fake 0.012087
[1615/5000][430/535][166742] Loss_D: -0.018980 Loss_G: 0.009923 Loss_D_real: -0.016355 Loss_D_fake 0.002625
[1615/5000][435/535][166743] Loss_D: -0.019274 Loss_G: 0.006948 Loss_D_real: -0.007766 Loss_D_fake 0.011508
[1615/5000][440/535][166744] Loss_D: -0.018271 Loss_G: 0.013375 Loss_D_real: -0.022044 Loss_D_fake -0.003773
[1615/5000][445/535][166745] Loss_D: -0.020794 Loss_G: 0.003635 Loss_D_real: -0.017092 Loss_D_fake 0.003702
[1615/5000][450/535][166746] Loss_D: -0.020063 Loss_G: 0.010847 Loss_D_real: -0.026024 Loss_D_fake -0.005960
[1615/5000][455/535][166747] Loss_D: -0.020813 Loss_G: -0.003323 Loss_D_real: -0.024473 Loss_D_fake -0.003660
[1615/5000][460/535][166748] Loss_D: -0.019706 Loss_G: 0.024567 Loss_D_real: -0.019527 Loss_D_fake 0.000179
[1615/5000][465/535][166749] Loss_D: -0.020038 Loss_G: 0.004548 Loss_D_real: -0.000536 Loss_D_fake 0.019502
[1615/5000][470/535][166750] Loss_D: -0.018026 Loss_G: 0.018222 Loss_D_real: -0.024684 Loss_D_fake -0.006658
[1615/5000][475/535][166751] Loss_D: -0.017572 Loss_G: 0.023969 Loss_D_real: -0.020768 Loss_D_fake -0.003196
[1615/5000][480/535][166752] Loss_D: -0.019353 Loss_G: 0.004211 Loss_D_real: -0.016923 Loss_D_fake 0.002430
[1615/5000][485/535][166753] Loss_D: -0.016105 Loss_G: -0.023120 Loss_D_real: 0.014215 Loss_D_fake 0.030320
[1615/5000][490/535][166754] Loss_D: -0.019000 Loss_G: 0.004124 Loss_D_real: -0.002254 Loss_D_fake 0.016746
[1615/5000][495/535][166755] Loss_D: -0.019731 Loss_G: 0.013441 Loss_D_real: -0.009141 Loss_D_fake 0.010590
[1615/5000][500/535][166756] Loss_D: -0.019611 Loss_G: 0.007478 Loss_D_real: -0.022889 Loss_D_fake -0.003278
[1615/5000][505/535][166757] Loss_D: -0.018853 Loss_G: -0.009816 Loss_D_real: -0.010064 Loss_D_fake 0.008789
[1615/5000][510/535][166758] Loss_D: -0.019587 Loss_G: 0.018543 Loss_D_real: -0.006306 Loss_D_fake 0.013280
[1615/5000][515/535][166759] Loss_D: -0.018006 Loss_G: -0.003831 Loss_D_real: -0.010627 Loss_D_fake 0.007379
[1615/5000][520/535][166760] Loss_D: -0.019411 Loss_G: -0.005127 Loss_D_real: -0.000039 Loss_D_fake 0.019372
[1615/5000][525/535][166761] Loss_D: -0.018185 Loss_G: 0.005935 Loss_D_real: -0.013460 Loss_D_fake 0.004725
[1615/5000][530/535][166762] Loss_D: -0.018560 Loss_G: 0.009681 Loss_D_real: -0.030824 Loss_D_fake -0.012264
[1615/5000][535/535][166763] Loss_D: -0.018397 Loss_G: 0.029246 Loss_D_real: -0.029368 Loss_D_fake -0.010971
[1616/5000][5/535][166764] Loss_D: -0.019176 Loss_G: -0.001540 Loss_D_real: -0.025124 Loss_D_fake -0.005948
[1616/5000][10/535][166765] Loss_D: -0.018731 Loss_G: 0.026856 Loss_D_real: -0.027666 Loss_D_fake -0.008934
[1616/5000][15/535][166766] Loss_D: -0.019725 Loss_G: 0.007652 Loss_D_real: -0.004756 Loss_D_fake 0.014970
[1616/5000][20/535][166767] Loss_D: -0.020572 Loss_G: 0.014165 Loss_D_real: -0.022687 Loss_D_fake -0.002115
[1616/5000][25/535][166768] Loss_D: -0.018914 Loss_G: -0.000894 Loss_D_real: -0.005852 Loss_D_fake 0.013061
[1616/5000][30/535][166769] Loss_D: -0.018591 Loss_G: 0.006430 Loss_D_real: -0.016974 Loss_D_fake 0.001617
[1616/5000][35/535][166770] Loss_D: -0.018614 Loss_G: 0.021171 Loss_D_real: -0.031441 Loss_D_fake -0.012827
[1616/5000][40/535][166771] Loss_D: -0.019190 Loss_G: 0.002294 Loss_D_real: -0.010814 Loss_D_fake 0.008377
[1616/5000][45/535][166772] Loss_D: -0.019239 Loss_G: 0.007970 Loss_D_real: -0.016695 Loss_D_fake 0.002543
[1616/5000][50/535][166773] Loss_D: -0.018496 Loss_G: 0.009021 Loss_D_real: -0.023531 Loss_D_fake -0.005035
[1616/5000][55/535][166774] Loss_D: -0.019812 Loss_G: 0.007611 Loss_D_real: -0.013424 Loss_D_fake 0.006388
[1616/5000][60/535][166775] Loss_D: -0.018534 Loss_G: -0.016652 Loss_D_real: -0.003563 Loss_D_fake 0.014972
[1616/5000][65/535][166776] Loss_D: -0.019624 Loss_G: 0.005314 Loss_D_real: -0.005061 Loss_D_fake 0.014563
[1616/5000][70/535][166777] Loss_D: -0.019800 Loss_G: 0.002383 Loss_D_real: -0.013526 Loss_D_fake 0.006274
[1616/5000][75/535][166778] Loss_D: -0.020137 Loss_G: -0.001973 Loss_D_real: -0.012602 Loss_D_fake 0.007535
[1616/5000][80/535][166779] Loss_D: -0.018947 Loss_G: 0.020503 Loss_D_real: -0.020847 Loss_D_fake -0.001900
[1616/5000][85/535][166780] Loss_D: -0.019453 Loss_G: 0.012266 Loss_D_real: -0.011621 Loss_D_fake 0.007832
[1616/5000][90/535][166781] Loss_D: -0.018784 Loss_G: 0.010984 Loss_D_real: -0.026694 Loss_D_fake -0.007911
[1616/5000][95/535][166782] Loss_D: -0.019033 Loss_G: 0.006055 Loss_D_real: -0.014321 Loss_D_fake 0.004711
[1616/5000][100/535][166783] Loss_D: -0.018453 Loss_G: 0.011358 Loss_D_real: -0.026596 Loss_D_fake -0.008143
[1616/5000][105/535][166784] Loss_D: -0.018799 Loss_G: 0.016766 Loss_D_real: -0.017392 Loss_D_fake 0.001407
[1616/5000][110/535][166785] Loss_D: -0.018887 Loss_G: 0.004428 Loss_D_real: -0.013237 Loss_D_fake 0.005650
[1616/5000][115/535][166786] Loss_D: -0.018556 Loss_G: 0.000629 Loss_D_real: -0.003615 Loss_D_fake 0.014941
[1616/5000][120/535][166787] Loss_D: -0.019855 Loss_G: -0.006120 Loss_D_real: -0.018546 Loss_D_fake 0.001309
[1616/5000][125/535][166788] Loss_D: -0.018240 Loss_G: 0.007262 Loss_D_real: -0.019325 Loss_D_fake -0.001084
[1616/5000][130/535][166789] Loss_D: -0.019219 Loss_G: 0.004050 Loss_D_real: -0.021053 Loss_D_fake -0.001833
[1616/5000][135/535][166790] Loss_D: -0.020188 Loss_G: 0.019113 Loss_D_real: -0.008564 Loss_D_fake 0.011623
[1616/5000][140/535][166791] Loss_D: -0.018789 Loss_G: 0.005446 Loss_D_real: -0.015705 Loss_D_fake 0.003084
[1616/5000][145/535][166792] Loss_D: -0.018890 Loss_G: 0.012305 Loss_D_real: -0.015498 Loss_D_fake 0.003392
[1616/5000][150/535][166793] Loss_D: -0.018724 Loss_G: 0.005911 Loss_D_real: -0.021460 Loss_D_fake -0.002736
[1616/5000][155/535][166794] Loss_D: -0.019345 Loss_G: 0.003493 Loss_D_real: -0.011526 Loss_D_fake 0.007819
[1616/5000][160/535][166795] Loss_D: -0.018025 Loss_G: 0.013691 Loss_D_real: -0.030445 Loss_D_fake -0.012420
[1616/5000][165/535][166796] Loss_D: -0.020019 Loss_G: -0.003603 Loss_D_real: -0.018704 Loss_D_fake 0.001314
[1616/5000][170/535][166797] Loss_D: -0.020188 Loss_G: -0.002433 Loss_D_real: 0.011611 Loss_D_fake 0.031798
[1616/5000][175/535][166798] Loss_D: -0.020506 Loss_G: 0.006391 Loss_D_real: -0.017195 Loss_D_fake 0.003311
[1616/5000][180/535][166799] Loss_D: -0.018590 Loss_G: 0.026484 Loss_D_real: -0.018977 Loss_D_fake -0.000387
[1616/5000][185/535][166800] Loss_D: -0.017788 Loss_G: 0.024402 Loss_D_real: -0.029631 Loss_D_fake -0.011843
[1616/5000][190/535][166801] Loss_D: -0.017583 Loss_G: 0.009910 Loss_D_real: -0.038879 Loss_D_fake -0.021296
[1616/5000][195/535][166802] Loss_D: -0.018914 Loss_G: 0.022812 Loss_D_real: -0.029533 Loss_D_fake -0.010619
[1616/5000][200/535][166803] Loss_D: -0.018758 Loss_G: 0.019303 Loss_D_real: -0.018574 Loss_D_fake 0.000184
[1616/5000][205/535][166804] Loss_D: -0.018850 Loss_G: -0.002230 Loss_D_real: -0.017514 Loss_D_fake 0.001337
[1616/5000][210/535][166805] Loss_D: -0.020162 Loss_G: 0.007163 Loss_D_real: -0.004330 Loss_D_fake 0.015832
[1616/5000][215/535][166806] Loss_D: -0.019312 Loss_G: -0.007056 Loss_D_real: -0.004666 Loss_D_fake 0.014646
[1616/5000][220/535][166807] Loss_D: -0.019404 Loss_G: -0.002336 Loss_D_real: -0.004594 Loss_D_fake 0.014810
[1616/5000][225/535][166808] Loss_D: -0.020264 Loss_G: 0.014119 Loss_D_real: -0.027239 Loss_D_fake -0.006975
[1616/5000][230/535][166809] Loss_D: -0.017585 Loss_G: 0.015005 Loss_D_real: -0.027388 Loss_D_fake -0.009802
[1616/5000][235/535][166810] Loss_D: -0.019310 Loss_G: 0.004574 Loss_D_real: -0.012609 Loss_D_fake 0.006701
[1616/5000][240/535][166811] Loss_D: -0.019969 Loss_G: 0.001606 Loss_D_real: -0.009762 Loss_D_fake 0.010207
[1616/5000][245/535][166812] Loss_D: -0.017385 Loss_G: 0.026703 Loss_D_real: -0.032331 Loss_D_fake -0.014946
[1616/5000][250/535][166813] Loss_D: -0.018613 Loss_G: 0.006471 Loss_D_real: -0.015439 Loss_D_fake 0.003173
[1616/5000][255/535][166814] Loss_D: -0.017923 Loss_G: 0.022280 Loss_D_real: -0.024950 Loss_D_fake -0.007027
[1616/5000][260/535][166815] Loss_D: -0.018662 Loss_G: -0.005901 Loss_D_real: -0.013318 Loss_D_fake 0.005344
[1616/5000][265/535][166816] Loss_D: -0.019739 Loss_G: 0.005745 Loss_D_real: -0.019134 Loss_D_fake 0.000605
[1616/5000][270/535][166817] Loss_D: -0.020250 Loss_G: 0.004473 Loss_D_real: -0.022232 Loss_D_fake -0.001982
[1616/5000][275/535][166818] Loss_D: -0.019196 Loss_G: 0.009991 Loss_D_real: -0.018560 Loss_D_fake 0.000636
[1616/5000][280/535][166819] Loss_D: -0.020228 Loss_G: 0.017977 Loss_D_real: -0.024511 Loss_D_fake -0.004283
[1616/5000][285/535][166820] Loss_D: -0.019410 Loss_G: 0.008518 Loss_D_real: -0.016168 Loss_D_fake 0.003242
[1616/5000][290/535][166821] Loss_D: -0.018869 Loss_G: 0.002163 Loss_D_real: -0.013879 Loss_D_fake 0.004990
[1616/5000][295/535][166822] Loss_D: -0.018057 Loss_G: -0.007237 Loss_D_real: -0.018678 Loss_D_fake -0.000621
[1616/5000][300/535][166823] Loss_D: -0.017681 Loss_G: 0.028150 Loss_D_real: -0.029777 Loss_D_fake -0.012097
[1616/5000][305/535][166824] Loss_D: -0.018468 Loss_G: 0.011117 Loss_D_real: -0.013346 Loss_D_fake 0.005122
[1616/5000][310/535][166825] Loss_D: -0.020732 Loss_G: -0.023379 Loss_D_real: -0.008696 Loss_D_fake 0.012036
[1616/5000][315/535][166826] Loss_D: -0.019634 Loss_G: 0.019310 Loss_D_real: -0.017968 Loss_D_fake 0.001666
[1616/5000][320/535][166827] Loss_D: -0.019356 Loss_G: -0.003687 Loss_D_real: -0.011423 Loss_D_fake 0.007933
[1616/5000][325/535][166828] Loss_D: -0.018260 Loss_G: 0.006964 Loss_D_real: -0.007080 Loss_D_fake 0.011180
[1616/5000][330/535][166829] Loss_D: -0.020552 Loss_G: 0.007003 Loss_D_real: -0.016118 Loss_D_fake 0.004434
[1616/5000][335/535][166830] Loss_D: -0.019758 Loss_G: 0.028408 Loss_D_real: -0.018259 Loss_D_fake 0.001499
[1616/5000][340/535][166831] Loss_D: -0.018784 Loss_G: -0.001379 Loss_D_real: -0.007080 Loss_D_fake 0.011704
[1616/5000][345/535][166832] Loss_D: -0.018681 Loss_G: -0.007804 Loss_D_real: -0.008589 Loss_D_fake 0.010092
[1616/5000][350/535][166833] Loss_D: -0.020291 Loss_G: 0.000596 Loss_D_real: -0.026134 Loss_D_fake -0.005843
[1616/5000][355/535][166834] Loss_D: -0.021420 Loss_G: 0.015732 Loss_D_real: -0.021789 Loss_D_fake -0.000368
[1616/5000][360/535][166835] Loss_D: -0.019599 Loss_G: -0.003653 Loss_D_real: -0.010223 Loss_D_fake 0.009376
[1616/5000][365/535][166836] Loss_D: -0.018835 Loss_G: 0.013199 Loss_D_real: -0.013010 Loss_D_fake 0.005824
[1616/5000][370/535][166837] Loss_D: -0.018349 Loss_G: 0.014468 Loss_D_real: -0.023938 Loss_D_fake -0.005589
[1616/5000][375/535][166838] Loss_D: -0.018987 Loss_G: 0.003248 Loss_D_real: -0.010751 Loss_D_fake 0.008236
[1616/5000][380/535][166839] Loss_D: -0.019466 Loss_G: 0.015173 Loss_D_real: -0.023341 Loss_D_fake -0.003875
[1616/5000][385/535][166840] Loss_D: -0.021026 Loss_G: 0.005689 Loss_D_real: -0.015768 Loss_D_fake 0.005257
[1616/5000][390/535][166841] Loss_D: -0.020212 Loss_G: 0.005580 Loss_D_real: -0.003905 Loss_D_fake 0.016306
[1616/5000][395/535][166842] Loss_D: -0.020615 Loss_G: 0.000872 Loss_D_real: -0.021615 Loss_D_fake -0.001000
[1616/5000][400/535][166843] Loss_D: -0.018923 Loss_G: 0.008170 Loss_D_real: -0.017982 Loss_D_fake 0.000941
[1616/5000][405/535][166844] Loss_D: -0.020039 Loss_G: 0.018149 Loss_D_real: -0.016876 Loss_D_fake 0.003163
[1616/5000][410/535][166845] Loss_D: -0.019094 Loss_G: 0.011689 Loss_D_real: -0.015087 Loss_D_fake 0.004007
[1616/5000][415/535][166846] Loss_D: -0.020021 Loss_G: 0.003509 Loss_D_real: -0.020928 Loss_D_fake -0.000907
[1616/5000][420/535][166847] Loss_D: -0.018910 Loss_G: 0.022344 Loss_D_real: -0.026089 Loss_D_fake -0.007179
[1616/5000][425/535][166848] Loss_D: -0.019396 Loss_G: 0.005713 Loss_D_real: -0.022028 Loss_D_fake -0.002632
[1616/5000][430/535][166849] Loss_D: -0.018519 Loss_G: 0.015923 Loss_D_real: -0.017633 Loss_D_fake 0.000886
[1616/5000][435/535][166850] Loss_D: -0.019128 Loss_G: -0.005158 Loss_D_real: -0.016266 Loss_D_fake 0.002862
[1616/5000][440/535][166851] Loss_D: -0.019267 Loss_G: 0.003220 Loss_D_real: -0.021865 Loss_D_fake -0.002598
[1616/5000][445/535][166852] Loss_D: -0.017665 Loss_G: 0.023119 Loss_D_real: -0.022038 Loss_D_fake -0.004373
[1616/5000][450/535][166853] Loss_D: -0.018455 Loss_G: -0.003815 Loss_D_real: -0.004004 Loss_D_fake 0.014450
[1616/5000][455/535][166854] Loss_D: -0.019634 Loss_G: -0.004409 Loss_D_real: -0.001589 Loss_D_fake 0.018045
[1616/5000][460/535][166855] Loss_D: -0.019247 Loss_G: 0.017715 Loss_D_real: -0.017554 Loss_D_fake 0.001694
[1616/5000][465/535][166856] Loss_D: -0.018545 Loss_G: 0.017172 Loss_D_real: -0.023276 Loss_D_fake -0.004731
[1616/5000][470/535][166857] Loss_D: -0.018814 Loss_G: -0.005625 Loss_D_real: -0.003423 Loss_D_fake 0.015390
[1616/5000][475/535][166858] Loss_D: -0.017555 Loss_G: 0.033760 Loss_D_real: -0.029618 Loss_D_fake -0.012064
[1616/5000][480/535][166859] Loss_D: -0.019233 Loss_G: 0.010181 Loss_D_real: -0.012828 Loss_D_fake 0.006405
[1616/5000][485/535][166860] Loss_D: -0.019074 Loss_G: 0.011712 Loss_D_real: -0.016430 Loss_D_fake 0.002644
[1616/5000][490/535][166861] Loss_D: -0.019147 Loss_G: -0.001499 Loss_D_real: -0.024272 Loss_D_fake -0.005125
[1616/5000][495/535][166862] Loss_D: -0.019089 Loss_G: 0.014191 Loss_D_real: -0.018476 Loss_D_fake 0.000612
[1616/5000][500/535][166863] Loss_D: -0.019685 Loss_G: 0.004165 Loss_D_real: -0.015061 Loss_D_fake 0.004624
[1616/5000][505/535][166864] Loss_D: -0.019047 Loss_G: 0.013962 Loss_D_real: -0.013920 Loss_D_fake 0.005127
[1616/5000][510/535][166865] Loss_D: -0.019085 Loss_G: 0.006634 Loss_D_real: -0.014638 Loss_D_fake 0.004447
[1616/5000][515/535][166866] Loss_D: -0.017984 Loss_G: 0.018969 Loss_D_real: -0.024971 Loss_D_fake -0.006988
[1616/5000][520/535][166867] Loss_D: -0.018835 Loss_G: 0.013795 Loss_D_real: -0.023270 Loss_D_fake -0.004435
[1616/5000][525/535][166868] Loss_D: -0.018487 Loss_G: 0.000157 Loss_D_real: -0.013481 Loss_D_fake 0.005006
[1616/5000][530/535][166869] Loss_D: -0.018498 Loss_G: 0.031413 Loss_D_real: -0.021455 Loss_D_fake -0.002956
[1616/5000][535/535][166870] Loss_D: -0.019447 Loss_G: 0.008275 Loss_D_real: -0.014040 Loss_D_fake 0.005407
[1617/5000][5/535][166871] Loss_D: -0.018669 Loss_G: 0.003715 Loss_D_real: -0.010892 Loss_D_fake 0.007777
[1617/5000][10/535][166872] Loss_D: -0.018112 Loss_G: 0.007181 Loss_D_real: -0.027883 Loss_D_fake -0.009770
[1617/5000][15/535][166873] Loss_D: -0.019288 Loss_G: 0.012961 Loss_D_real: -0.019571 Loss_D_fake -0.000283
[1617/5000][20/535][166874] Loss_D: -0.019722 Loss_G: 0.006701 Loss_D_real: -0.023145 Loss_D_fake -0.003423
[1617/5000][25/535][166875] Loss_D: -0.020384 Loss_G: 0.017768 Loss_D_real: -0.010673 Loss_D_fake 0.009711
[1617/5000][30/535][166876] Loss_D: -0.018312 Loss_G: -0.014874 Loss_D_real: -0.009202 Loss_D_fake 0.009109
[1617/5000][35/535][166877] Loss_D: -0.019539 Loss_G: 0.006876 Loss_D_real: -0.027837 Loss_D_fake -0.008298
[1617/5000][40/535][166878] Loss_D: -0.018892 Loss_G: 0.021550 Loss_D_real: -0.020317 Loss_D_fake -0.001425
[1617/5000][45/535][166879] Loss_D: -0.018790 Loss_G: -0.001022 Loss_D_real: -0.006231 Loss_D_fake 0.012560
[1617/5000][50/535][166880] Loss_D: -0.018679 Loss_G: 0.016980 Loss_D_real: -0.006105 Loss_D_fake 0.012574
[1617/5000][55/535][166881] Loss_D: -0.019793 Loss_G: -0.002688 Loss_D_real: 0.008217 Loss_D_fake 0.028010
[1617/5000][60/535][166882] Loss_D: -0.020100 Loss_G: 0.019645 Loss_D_real: -0.019432 Loss_D_fake 0.000668
[1617/5000][65/535][166883] Loss_D: -0.020472 Loss_G: -0.008222 Loss_D_real: -0.020917 Loss_D_fake -0.000445
[1617/5000][70/535][166884] Loss_D: -0.020668 Loss_G: 0.013488 Loss_D_real: -0.015534 Loss_D_fake 0.005133
[1617/5000][75/535][166885] Loss_D: -0.019328 Loss_G: 0.007665 Loss_D_real: -0.007124 Loss_D_fake 0.012204
[1617/5000][80/535][166886] Loss_D: -0.018417 Loss_G: 0.013244 Loss_D_real: -0.030137 Loss_D_fake -0.011720
[1617/5000][85/535][166887] Loss_D: -0.020318 Loss_G: 0.001938 Loss_D_real: -0.006182 Loss_D_fake 0.014136
[1617/5000][90/535][166888] Loss_D: -0.019063 Loss_G: 0.007286 Loss_D_real: -0.018209 Loss_D_fake 0.000855
[1617/5000][95/535][166889] Loss_D: -0.016278 Loss_G: 0.021010 Loss_D_real: -0.036069 Loss_D_fake -0.019791
[1617/5000][100/535][166890] Loss_D: -0.019099 Loss_G: 0.021711 Loss_D_real: -0.035483 Loss_D_fake -0.016383
[1617/5000][105/535][166891] Loss_D: -0.020120 Loss_G: 0.004960 Loss_D_real: -0.017609 Loss_D_fake 0.002512
[1617/5000][110/535][166892] Loss_D: -0.017289 Loss_G: 0.030340 Loss_D_real: -0.035620 Loss_D_fake -0.018331
[1617/5000][115/535][166893] Loss_D: -0.018670 Loss_G: 0.016266 Loss_D_real: -0.022329 Loss_D_fake -0.003658
[1617/5000][120/535][166894] Loss_D: -0.018476 Loss_G: 0.006464 Loss_D_real: -0.013785 Loss_D_fake 0.004691
[1617/5000][125/535][166895] Loss_D: -0.017778 Loss_G: -0.003747 Loss_D_real: 0.006571 Loss_D_fake 0.024348
[1617/5000][130/535][166896] Loss_D: -0.018121 Loss_G: 0.026790 Loss_D_real: -0.027983 Loss_D_fake -0.009862
[1617/5000][135/535][166897] Loss_D: -0.020337 Loss_G: 0.016875 Loss_D_real: -0.016056 Loss_D_fake 0.004281
[1617/5000][140/535][166898] Loss_D: -0.018608 Loss_G: -0.010546 Loss_D_real: -0.005739 Loss_D_fake 0.012869
[1617/5000][145/535][166899] Loss_D: -0.018650 Loss_G: 0.018381 Loss_D_real: -0.015756 Loss_D_fake 0.002893
[1617/5000][150/535][166900] Loss_D: -0.018468 Loss_G: 0.006439 Loss_D_real: -0.015014 Loss_D_fake 0.003454
[1617/5000][155/535][166901] Loss_D: -0.019627 Loss_G: -0.008993 Loss_D_real: -0.013769 Loss_D_fake 0.005859
[1617/5000][160/535][166902] Loss_D: -0.018472 Loss_G: -0.000734 Loss_D_real: -0.017602 Loss_D_fake 0.000870
[1617/5000][165/535][166903] Loss_D: -0.018507 Loss_G: -0.001642 Loss_D_real: 0.008684 Loss_D_fake 0.027191
[1617/5000][170/535][166904] Loss_D: -0.018047 Loss_G: 0.021061 Loss_D_real: -0.020736 Loss_D_fake -0.002689
[1617/5000][175/535][166905] Loss_D: -0.018202 Loss_G: -0.007410 Loss_D_real: 0.007694 Loss_D_fake 0.025896
[1617/5000][180/535][166906] Loss_D: -0.018319 Loss_G: 0.014565 Loss_D_real: -0.027147 Loss_D_fake -0.008827
[1617/5000][185/535][166907] Loss_D: -0.018774 Loss_G: -0.009408 Loss_D_real: -0.008191 Loss_D_fake 0.010583
[1617/5000][190/535][166908] Loss_D: -0.019786 Loss_G: 0.009617 Loss_D_real: -0.016561 Loss_D_fake 0.003226
[1617/5000][195/535][166909] Loss_D: -0.019113 Loss_G: 0.010716 Loss_D_real: -0.012071 Loss_D_fake 0.007042
[1617/5000][200/535][166910] Loss_D: -0.018782 Loss_G: 0.009411 Loss_D_real: -0.013926 Loss_D_fake 0.004856
[1617/5000][205/535][166911] Loss_D: -0.019367 Loss_G: 0.006522 Loss_D_real: -0.017020 Loss_D_fake 0.002347
[1617/5000][210/535][166912] Loss_D: -0.019914 Loss_G: 0.004434 Loss_D_real: -0.017560 Loss_D_fake 0.002353
[1617/5000][215/535][166913] Loss_D: -0.019740 Loss_G: 0.007440 Loss_D_real: -0.011191 Loss_D_fake 0.008549
[1617/5000][220/535][166914] Loss_D: -0.020810 Loss_G: 0.003898 Loss_D_real: -0.011535 Loss_D_fake 0.009275
[1617/5000][225/535][166915] Loss_D: -0.018949 Loss_G: 0.011199 Loss_D_real: -0.016446 Loss_D_fake 0.002503
[1617/5000][230/535][166916] Loss_D: -0.020665 Loss_G: 0.011028 Loss_D_real: -0.006657 Loss_D_fake 0.014008
[1617/5000][235/535][166917] Loss_D: -0.019399 Loss_G: 0.007729 Loss_D_real: -0.019409 Loss_D_fake -0.000010
[1617/5000][240/535][166918] Loss_D: -0.019154 Loss_G: 0.017348 Loss_D_real: -0.030327 Loss_D_fake -0.011172
[1617/5000][245/535][166919] Loss_D: -0.019766 Loss_G: 0.010859 Loss_D_real: -0.015128 Loss_D_fake 0.004638
[1617/5000][250/535][166920] Loss_D: -0.016519 Loss_G: -0.016950 Loss_D_real: 0.008405 Loss_D_fake 0.024924
[1617/5000][255/535][166921] Loss_D: -0.019844 Loss_G: -0.006730 Loss_D_real: -0.019991 Loss_D_fake -0.000147
[1617/5000][260/535][166922] Loss_D: -0.019766 Loss_G: 0.007911 Loss_D_real: -0.014691 Loss_D_fake 0.005075
[1617/5000][265/535][166923] Loss_D: -0.019855 Loss_G: 0.005811 Loss_D_real: -0.006833 Loss_D_fake 0.013021
[1617/5000][270/535][166924] Loss_D: -0.018405 Loss_G: 0.021033 Loss_D_real: -0.027523 Loss_D_fake -0.009118
[1617/5000][275/535][166925] Loss_D: -0.018667 Loss_G: -0.004349 Loss_D_real: -0.008697 Loss_D_fake 0.009970
[1617/5000][280/535][166926] Loss_D: -0.019057 Loss_G: 0.005629 Loss_D_real: -0.007150 Loss_D_fake 0.011907
[1617/5000][285/535][166927] Loss_D: -0.021035 Loss_G: -0.005264 Loss_D_real: -0.018980 Loss_D_fake 0.002055
[1617/5000][290/535][166928] Loss_D: -0.018526 Loss_G: -0.001605 Loss_D_real: -0.005443 Loss_D_fake 0.013083
[1617/5000][295/535][166929] Loss_D: -0.019767 Loss_G: 0.020346 Loss_D_real: -0.020155 Loss_D_fake -0.000388
[1617/5000][300/535][166930] Loss_D: -0.019311 Loss_G: 0.002684 Loss_D_real: -0.021731 Loss_D_fake -0.002420
[1617/5000][305/535][166931] Loss_D: -0.015880 Loss_G: 0.019287 Loss_D_real: -0.035625 Loss_D_fake -0.019745
[1617/5000][310/535][166932] Loss_D: -0.019217 Loss_G: 0.007373 Loss_D_real: -0.019943 Loss_D_fake -0.000726
[1617/5000][315/535][166933] Loss_D: -0.019701 Loss_G: 0.003692 Loss_D_real: 0.000247 Loss_D_fake 0.019948
[1617/5000][320/535][166934] Loss_D: -0.019372 Loss_G: 0.023258 Loss_D_real: -0.021492 Loss_D_fake -0.002121
[1617/5000][325/535][166935] Loss_D: -0.020170 Loss_G: 0.009288 Loss_D_real: -0.006674 Loss_D_fake 0.013496
[1617/5000][330/535][166936] Loss_D: -0.020035 Loss_G: 0.008178 Loss_D_real: -0.017817 Loss_D_fake 0.002217
[1617/5000][335/535][166937] Loss_D: -0.018446 Loss_G: -0.006129 Loss_D_real: -0.003812 Loss_D_fake 0.014635
[1617/5000][340/535][166938] Loss_D: -0.018129 Loss_G: 0.018556 Loss_D_real: -0.026828 Loss_D_fake -0.008699
[1617/5000][345/535][166939] Loss_D: -0.018943 Loss_G: 0.009927 Loss_D_real: -0.031278 Loss_D_fake -0.012335
[1617/5000][350/535][166940] Loss_D: -0.019639 Loss_G: 0.003450 Loss_D_real: 0.003020 Loss_D_fake 0.022660
[1617/5000][355/535][166941] Loss_D: -0.019297 Loss_G: -0.005051 Loss_D_real: -0.008260 Loss_D_fake 0.011037
[1617/5000][360/535][166942] Loss_D: -0.019043 Loss_G: 0.001731 Loss_D_real: -0.016938 Loss_D_fake 0.002105
[1617/5000][365/535][166943] Loss_D: -0.019724 Loss_G: 0.001520 Loss_D_real: -0.022391 Loss_D_fake -0.002667
[1617/5000][370/535][166944] Loss_D: -0.020334 Loss_G: 0.008419 Loss_D_real: -0.027187 Loss_D_fake -0.006852
[1617/5000][375/535][166945] Loss_D: -0.019611 Loss_G: 0.009930 Loss_D_real: -0.006316 Loss_D_fake 0.013295
[1617/5000][380/535][166946] Loss_D: -0.018922 Loss_G: 0.015696 Loss_D_real: -0.021229 Loss_D_fake -0.002306
[1617/5000][385/535][166947] Loss_D: -0.019461 Loss_G: 0.028138 Loss_D_real: -0.025944 Loss_D_fake -0.006483
[1617/5000][390/535][166948] Loss_D: -0.019921 Loss_G: 0.012193 Loss_D_real: -0.015816 Loss_D_fake 0.004105
[1617/5000][395/535][166949] Loss_D: -0.019910 Loss_G: 0.013337 Loss_D_real: -0.026841 Loss_D_fake -0.006931
[1617/5000][400/535][166950] Loss_D: -0.019191 Loss_G: -0.005069 Loss_D_real: -0.006313 Loss_D_fake 0.012878
[1617/5000][405/535][166951] Loss_D: -0.019542 Loss_G: 0.025953 Loss_D_real: -0.019853 Loss_D_fake -0.000311
[1617/5000][410/535][166952] Loss_D: -0.019232 Loss_G: 0.012555 Loss_D_real: -0.033831 Loss_D_fake -0.014599
[1617/5000][415/535][166953] Loss_D: -0.019682 Loss_G: -0.001251 Loss_D_real: 0.007056 Loss_D_fake 0.026738
[1617/5000][420/535][166954] Loss_D: -0.020009 Loss_G: 0.000697 Loss_D_real: -0.001088 Loss_D_fake 0.018920
[1617/5000][425/535][166955] Loss_D: -0.018381 Loss_G: 0.025979 Loss_D_real: -0.021576 Loss_D_fake -0.003196
[1617/5000][430/535][166956] Loss_D: -0.018913 Loss_G: 0.000123 Loss_D_real: -0.011523 Loss_D_fake 0.007391
[1617/5000][435/535][166957] Loss_D: -0.018642 Loss_G: 0.008252 Loss_D_real: -0.006678 Loss_D_fake 0.011964
[1617/5000][440/535][166958] Loss_D: -0.019249 Loss_G: 0.000221 Loss_D_real: -0.009157 Loss_D_fake 0.010091
[1617/5000][445/535][166959] Loss_D: -0.018457 Loss_G: -0.001595 Loss_D_real: -0.007130 Loss_D_fake 0.011327
[1617/5000][450/535][166960] Loss_D: -0.018668 Loss_G: 0.020348 Loss_D_real: -0.024959 Loss_D_fake -0.006291
[1617/5000][455/535][166961] Loss_D: -0.018596 Loss_G: 0.012696 Loss_D_real: -0.020520 Loss_D_fake -0.001924
[1617/5000][460/535][166962] Loss_D: -0.018443 Loss_G: -0.004552 Loss_D_real: 0.001916 Loss_D_fake 0.020359
[1617/5000][465/535][166963] Loss_D: -0.019457 Loss_G: -0.005143 Loss_D_real: -0.011682 Loss_D_fake 0.007774
[1617/5000][470/535][166964] Loss_D: -0.020339 Loss_G: 0.004731 Loss_D_real: 0.007254 Loss_D_fake 0.027593
[1617/5000][475/535][166965] Loss_D: -0.019357 Loss_G: 0.022921 Loss_D_real: -0.017940 Loss_D_fake 0.001418
[1617/5000][480/535][166966] Loss_D: -0.019583 Loss_G: -0.013181 Loss_D_real: 0.002516 Loss_D_fake 0.022099
[1617/5000][485/535][166967] Loss_D: -0.017475 Loss_G: 0.026499 Loss_D_real: -0.026186 Loss_D_fake -0.008711
[1617/5000][490/535][166968] Loss_D: -0.018822 Loss_G: -0.006780 Loss_D_real: -0.002556 Loss_D_fake 0.016266
[1617/5000][495/535][166969] Loss_D: -0.019035 Loss_G: 0.011769 Loss_D_real: -0.028835 Loss_D_fake -0.009800
[1617/5000][500/535][166970] Loss_D: -0.019308 Loss_G: 0.013191 Loss_D_real: -0.013255 Loss_D_fake 0.006054
[1617/5000][505/535][166971] Loss_D: -0.019940 Loss_G: -0.004387 Loss_D_real: -0.014988 Loss_D_fake 0.004953
[1617/5000][510/535][166972] Loss_D: -0.020712 Loss_G: 0.012192 Loss_D_real: -0.020520 Loss_D_fake 0.000192
[1617/5000][515/535][166973] Loss_D: -0.018582 Loss_G: -0.007103 Loss_D_real: -0.008960 Loss_D_fake 0.009622
[1617/5000][520/535][166974] Loss_D: -0.018207 Loss_G: 0.016846 Loss_D_real: -0.021909 Loss_D_fake -0.003702
[1617/5000][525/535][166975] Loss_D: -0.019342 Loss_G: 0.017021 Loss_D_real: -0.020421 Loss_D_fake -0.001079
[1617/5000][530/535][166976] Loss_D: -0.018521 Loss_G: -0.000599 Loss_D_real: -0.025962 Loss_D_fake -0.007441
[1617/5000][535/535][166977] Loss_D: -0.019693 Loss_G: -0.009163 Loss_D_real: -0.008297 Loss_D_fake 0.011395
[1618/5000][5/535][166978] Loss_D: -0.020916 Loss_G: 0.005547 Loss_D_real: -0.019334 Loss_D_fake 0.001582
[1618/5000][10/535][166979] Loss_D: -0.017115 Loss_G: 0.011249 Loss_D_real: -0.033052 Loss_D_fake -0.015936
[1618/5000][15/535][166980] Loss_D: -0.018478 Loss_G: 0.008842 Loss_D_real: -0.021953 Loss_D_fake -0.003475
[1618/5000][20/535][166981] Loss_D: -0.018761 Loss_G: 0.019366 Loss_D_real: -0.024921 Loss_D_fake -0.006160
[1618/5000][25/535][166982] Loss_D: -0.019514 Loss_G: -0.002696 Loss_D_real: -0.011698 Loss_D_fake 0.007816
[1618/5000][30/535][166983] Loss_D: -0.018938 Loss_G: -0.001548 Loss_D_real: -0.000988 Loss_D_fake 0.017950
[1618/5000][35/535][166984] Loss_D: -0.018509 Loss_G: 0.013212 Loss_D_real: -0.009311 Loss_D_fake 0.009198
[1618/5000][40/535][166985] Loss_D: -0.020201 Loss_G: -0.005404 Loss_D_real: -0.015773 Loss_D_fake 0.004428
[1618/5000][45/535][166986] Loss_D: -0.019262 Loss_G: 0.013370 Loss_D_real: -0.018779 Loss_D_fake 0.000484
[1618/5000][50/535][166987] Loss_D: -0.019376 Loss_G: 0.002341 Loss_D_real: -0.025803 Loss_D_fake -0.006427
[1618/5000][55/535][166988] Loss_D: -0.020499 Loss_G: 0.014712 Loss_D_real: -0.016310 Loss_D_fake 0.004189
[1618/5000][60/535][166989] Loss_D: -0.019812 Loss_G: 0.015129 Loss_D_real: -0.023712 Loss_D_fake -0.003900
[1618/5000][65/535][166990] Loss_D: -0.017749 Loss_G: 0.004587 Loss_D_real: -0.019002 Loss_D_fake -0.001253
[1618/5000][70/535][166991] Loss_D: -0.017327 Loss_G: -0.012110 Loss_D_real: -0.000518 Loss_D_fake 0.016810
[1618/5000][75/535][166992] Loss_D: -0.018279 Loss_G: 0.006127 Loss_D_real: -0.014768 Loss_D_fake 0.003511
[1618/5000][80/535][166993] Loss_D: -0.017875 Loss_G: -0.013549 Loss_D_real: -0.002515 Loss_D_fake 0.015360
[1618/5000][85/535][166994] Loss_D: -0.018393 Loss_G: -0.005751 Loss_D_real: -0.016412 Loss_D_fake 0.001981
[1618/5000][90/535][166995] Loss_D: -0.018882 Loss_G: 0.015006 Loss_D_real: -0.016814 Loss_D_fake 0.002068
[1618/5000][95/535][166996] Loss_D: -0.019220 Loss_G: 0.015962 Loss_D_real: -0.003112 Loss_D_fake 0.016107
[1618/5000][100/535][166997] Loss_D: -0.019401 Loss_G: 0.002866 Loss_D_real: -0.016320 Loss_D_fake 0.003080
[1618/5000][105/535][166998] Loss_D: -0.019714 Loss_G: 0.004980 Loss_D_real: -0.013830 Loss_D_fake 0.005885
[1618/5000][110/535][166999] Loss_D: -0.018949 Loss_G: -0.005795 Loss_D_real: -0.011022 Loss_D_fake 0.007927
[1618/5000][115/535][167000] Loss_D: -0.018180 Loss_G: 0.016911 Loss_D_real: -0.022491 Loss_D_fake -0.004310
[1618/5000][215/535][167001] Loss_D: -0.023048 Loss_G: -0.007686 Loss_D_real: -0.008778 Loss_D_fake 0.014270
[1618/5000][220/535][167002] Loss_D: -0.017875 Loss_G: 0.003984 Loss_D_real: -0.009111 Loss_D_fake 0.008764
[1618/5000][225/535][167003] Loss_D: -0.017830 Loss_G: 0.008431 Loss_D_real: -0.016976 Loss_D_fake 0.000854
[1618/5000][230/535][167004] Loss_D: -0.017981 Loss_G: 0.014430 Loss_D_real: -0.029261 Loss_D_fake -0.011280
[1618/5000][235/535][167005] Loss_D: -0.018727 Loss_G: -0.004107 Loss_D_real: -0.005841 Loss_D_fake 0.012886
[1618/5000][240/535][167006] Loss_D: -0.018861 Loss_G: -0.000345 Loss_D_real: -0.015308 Loss_D_fake 0.003553
[1618/5000][245/535][167007] Loss_D: -0.018488 Loss_G: 0.007109 Loss_D_real: 0.002779 Loss_D_fake 0.021267
[1618/5000][250/535][167008] Loss_D: -0.020254 Loss_G: 0.009304 Loss_D_real: -0.003366 Loss_D_fake 0.016889
[1618/5000][255/535][167009] Loss_D: -0.018548 Loss_G: 0.011954 Loss_D_real: -0.019708 Loss_D_fake -0.001160
[1618/5000][260/535][167010] Loss_D: -0.019229 Loss_G: 0.002737 Loss_D_real: -0.012578 Loss_D_fake 0.006651
[1618/5000][265/535][167011] Loss_D: -0.018638 Loss_G: 0.009157 Loss_D_real: -0.031215 Loss_D_fake -0.012577
[1618/5000][270/535][167012] Loss_D: -0.019390 Loss_G: 0.008855 Loss_D_real: -0.007865 Loss_D_fake 0.011526
[1618/5000][275/535][167013] Loss_D: -0.019564 Loss_G: -0.000747 Loss_D_real: 0.000779 Loss_D_fake 0.020343
[1618/5000][280/535][167014] Loss_D: -0.019942 Loss_G: 0.011813 Loss_D_real: -0.017204 Loss_D_fake 0.002738
[1618/5000][285/535][167015] Loss_D: -0.018540 Loss_G: 0.000003 Loss_D_real: -0.015380 Loss_D_fake 0.003160
[1618/5000][290/535][167016] Loss_D: -0.018327 Loss_G: 0.016398 Loss_D_real: -0.022150 Loss_D_fake -0.003824
[1618/5000][295/535][167017] Loss_D: -0.017847 Loss_G: -0.012937 Loss_D_real: -0.004333 Loss_D_fake 0.013514
[1618/5000][300/535][167018] Loss_D: -0.017961 Loss_G: 0.017765 Loss_D_real: -0.020458 Loss_D_fake -0.002497
[1618/5000][305/535][167019] Loss_D: -0.018583 Loss_G: 0.019758 Loss_D_real: -0.023416 Loss_D_fake -0.004833
[1618/5000][310/535][167020] Loss_D: -0.018633 Loss_G: 0.017810 Loss_D_real: -0.005476 Loss_D_fake 0.013157
[1618/5000][315/535][167021] Loss_D: -0.018616 Loss_G: 0.001106 Loss_D_real: -0.008728 Loss_D_fake 0.009889
[1618/5000][320/535][167022] Loss_D: -0.017639 Loss_G: 0.005183 Loss_D_real: -0.004454 Loss_D_fake 0.013184
[1618/5000][325/535][167023] Loss_D: -0.018426 Loss_G: 0.006385 Loss_D_real: -0.005481 Loss_D_fake 0.012946
[1618/5000][330/535][167024] Loss_D: -0.019523 Loss_G: 0.012587 Loss_D_real: -0.029279 Loss_D_fake -0.009755
[1618/5000][335/535][167025] Loss_D: -0.019228 Loss_G: -0.010464 Loss_D_real: -0.003838 Loss_D_fake 0.015390
[1618/5000][340/535][167026] Loss_D: -0.018818 Loss_G: 0.011599 Loss_D_real: -0.026975 Loss_D_fake -0.008157
[1618/5000][345/535][167027] Loss_D: -0.018504 Loss_G: -0.005783 Loss_D_real: -0.005516 Loss_D_fake 0.012988
[1618/5000][350/535][167028] Loss_D: -0.017694 Loss_G: 0.004121 Loss_D_real: -0.013053 Loss_D_fake 0.004641
[1618/5000][355/535][167029] Loss_D: -0.018482 Loss_G: 0.003721 Loss_D_real: -0.017521 Loss_D_fake 0.000962
[1618/5000][360/535][167030] Loss_D: -0.018988 Loss_G: -0.012686 Loss_D_real: 0.006156 Loss_D_fake 0.025145
[1618/5000][365/535][167031] Loss_D: -0.019156 Loss_G: 0.018645 Loss_D_real: -0.021406 Loss_D_fake -0.002250
[1618/5000][370/535][167032] Loss_D: -0.019412 Loss_G: 0.028033 Loss_D_real: -0.023968 Loss_D_fake -0.004556
[1618/5000][375/535][167033] Loss_D: -0.019924 Loss_G: -0.005635 Loss_D_real: -0.003649 Loss_D_fake 0.016275
[1618/5000][380/535][167034] Loss_D: -0.019132 Loss_G: 0.009990 Loss_D_real: -0.022334 Loss_D_fake -0.003201
[1618/5000][385/535][167035] Loss_D: -0.017734 Loss_G: 0.003925 Loss_D_real: -0.004185 Loss_D_fake 0.013548
[1618/5000][390/535][167036] Loss_D: -0.018143 Loss_G: 0.027767 Loss_D_real: -0.026396 Loss_D_fake -0.008253
[1618/5000][395/535][167037] Loss_D: -0.019205 Loss_G: -0.009112 Loss_D_real: -0.012092 Loss_D_fake 0.007114
[1618/5000][400/535][167038] Loss_D: -0.018464 Loss_G: 0.009870 Loss_D_real: -0.026210 Loss_D_fake -0.007746
[1618/5000][405/535][167039] Loss_D: -0.019818 Loss_G: -0.005368 Loss_D_real: -0.025979 Loss_D_fake -0.006161
[1618/5000][410/535][167040] Loss_D: -0.017260 Loss_G: 0.004623 Loss_D_real: 0.003247 Loss_D_fake 0.020507
[1618/5000][415/535][167041] Loss_D: -0.019625 Loss_G: 0.006025 Loss_D_real: -0.020865 Loss_D_fake -0.001240
[1618/5000][420/535][167042] Loss_D: -0.020287 Loss_G: -0.002500 Loss_D_real: -0.003607 Loss_D_fake 0.016680
[1618/5000][425/535][167043] Loss_D: -0.019320 Loss_G: -0.002071 Loss_D_real: -0.011493 Loss_D_fake 0.007827
[1618/5000][430/535][167044] Loss_D: -0.018865 Loss_G: 0.002964 Loss_D_real: -0.013965 Loss_D_fake 0.004899
[1618/5000][435/535][167045] Loss_D: -0.018952 Loss_G: 0.016251 Loss_D_real: -0.015618 Loss_D_fake 0.003335
[1618/5000][440/535][167046] Loss_D: -0.019166 Loss_G: 0.010403 Loss_D_real: -0.017533 Loss_D_fake 0.001632
[1618/5000][445/535][167047] Loss_D: -0.017692 Loss_G: 0.004769 Loss_D_real: -0.014087 Loss_D_fake 0.003604
[1618/5000][450/535][167048] Loss_D: -0.020019 Loss_G: 0.000020 Loss_D_real: -0.020713 Loss_D_fake -0.000694
[1618/5000][455/535][167049] Loss_D: -0.019393 Loss_G: 0.004107 Loss_D_real: -0.021554 Loss_D_fake -0.002161
[1618/5000][460/535][167050] Loss_D: -0.019787 Loss_G: 0.020918 Loss_D_real: -0.011507 Loss_D_fake 0.008280
[1618/5000][465/535][167051] Loss_D: -0.018487 Loss_G: -0.007856 Loss_D_real: -0.008258 Loss_D_fake 0.010229
[1618/5000][470/535][167052] Loss_D: -0.019755 Loss_G: -0.001903 Loss_D_real: -0.020753 Loss_D_fake -0.000998
[1618/5000][475/535][167053] Loss_D: -0.020562 Loss_G: 0.011860 Loss_D_real: -0.020143 Loss_D_fake 0.000420
[1618/5000][480/535][167054] Loss_D: -0.019597 Loss_G: 0.009261 Loss_D_real: -0.025194 Loss_D_fake -0.005597
[1618/5000][485/535][167055] Loss_D: -0.019519 Loss_G: -0.014342 Loss_D_real: -0.018842 Loss_D_fake 0.000677
[1618/5000][490/535][167056] Loss_D: -0.019574 Loss_G: 0.007840 Loss_D_real: -0.025121 Loss_D_fake -0.005546
[1618/5000][495/535][167057] Loss_D: -0.019681 Loss_G: -0.016127 Loss_D_real: 0.000568 Loss_D_fake 0.020249
[1618/5000][500/535][167058] Loss_D: -0.019210 Loss_G: 0.026821 Loss_D_real: -0.021086 Loss_D_fake -0.001876
[1618/5000][505/535][167059] Loss_D: -0.019631 Loss_G: 0.013379 Loss_D_real: -0.011457 Loss_D_fake 0.008174
[1618/5000][510/535][167060] Loss_D: -0.018890 Loss_G: -0.007938 Loss_D_real: -0.014693 Loss_D_fake 0.004198
[1618/5000][515/535][167061] Loss_D: -0.018649 Loss_G: 0.019166 Loss_D_real: -0.014288 Loss_D_fake 0.004361
[1618/5000][520/535][167062] Loss_D: -0.019057 Loss_G: -0.000510 Loss_D_real: -0.012758 Loss_D_fake 0.006299
[1618/5000][525/535][167063] Loss_D: -0.019884 Loss_G: 0.014394 Loss_D_real: -0.020623 Loss_D_fake -0.000739
[1618/5000][530/535][167064] Loss_D: -0.018442 Loss_G: 0.007018 Loss_D_real: -0.017748 Loss_D_fake 0.000694
[1618/5000][535/535][167065] Loss_D: -0.021316 Loss_G: 0.009178 Loss_D_real: -0.037150 Loss_D_fake -0.015835
[1619/5000][5/535][167066] Loss_D: -0.020585 Loss_G: 0.025903 Loss_D_real: -0.014527 Loss_D_fake 0.006058
[1619/5000][10/535][167067] Loss_D: -0.019329 Loss_G: 0.015335 Loss_D_real: -0.028066 Loss_D_fake -0.008737
[1619/5000][15/535][167068] Loss_D: -0.020589 Loss_G: 0.010537 Loss_D_real: -0.025341 Loss_D_fake -0.004752
[1619/5000][20/535][167069] Loss_D: -0.018047 Loss_G: 0.014316 Loss_D_real: -0.024998 Loss_D_fake -0.006951
[1619/5000][25/535][167070] Loss_D: -0.019685 Loss_G: 0.000598 Loss_D_real: -0.008213 Loss_D_fake 0.011472
[1619/5000][30/535][167071] Loss_D: -0.017436 Loss_G: -0.001793 Loss_D_real: -0.013708 Loss_D_fake 0.003728
[1619/5000][35/535][167072] Loss_D: -0.019245 Loss_G: 0.010602 Loss_D_real: -0.024905 Loss_D_fake -0.005660
[1619/5000][40/535][167073] Loss_D: -0.019249 Loss_G: -0.001088 Loss_D_real: -0.009167 Loss_D_fake 0.010082
[1619/5000][45/535][167074] Loss_D: -0.019421 Loss_G: 0.021654 Loss_D_real: -0.022706 Loss_D_fake -0.003284
[1619/5000][50/535][167075] Loss_D: -0.019053 Loss_G: 0.003608 Loss_D_real: -0.022088 Loss_D_fake -0.003035
[1619/5000][55/535][167076] Loss_D: -0.018893 Loss_G: 0.005692 Loss_D_real: -0.004238 Loss_D_fake 0.014656
[1619/5000][60/535][167077] Loss_D: -0.018014 Loss_G: -0.006012 Loss_D_real: -0.001784 Loss_D_fake 0.016231
[1619/5000][65/535][167078] Loss_D: -0.018882 Loss_G: 0.021265 Loss_D_real: -0.024007 Loss_D_fake -0.005125
[1619/5000][70/535][167079] Loss_D: -0.020485 Loss_G: 0.015496 Loss_D_real: -0.017974 Loss_D_fake 0.002511
[1619/5000][75/535][167080] Loss_D: -0.018180 Loss_G: -0.010113 Loss_D_real: 0.007985 Loss_D_fake 0.026165
[1619/5000][80/535][167081] Loss_D: -0.020645 Loss_G: -0.006306 Loss_D_real: -0.016989 Loss_D_fake 0.003656
[1619/5000][85/535][167082] Loss_D: -0.018118 Loss_G: 0.017677 Loss_D_real: -0.022434 Loss_D_fake -0.004316
[1619/5000][90/535][167083] Loss_D: -0.020178 Loss_G: 0.016344 Loss_D_real: -0.024673 Loss_D_fake -0.004495
[1619/5000][95/535][167084] Loss_D: -0.019086 Loss_G: 0.017325 Loss_D_real: -0.017693 Loss_D_fake 0.001393
[1619/5000][100/535][167085] Loss_D: -0.018734 Loss_G: 0.009436 Loss_D_real: -0.030929 Loss_D_fake -0.012195
[1619/5000][105/535][167086] Loss_D: -0.019165 Loss_G: 0.002716 Loss_D_real: -0.029782 Loss_D_fake -0.010616
[1619/5000][110/535][167087] Loss_D: -0.019419 Loss_G: 0.017285 Loss_D_real: -0.009945 Loss_D_fake 0.009474
[1619/5000][115/535][167088] Loss_D: -0.020086 Loss_G: 0.002039 Loss_D_real: -0.007885 Loss_D_fake 0.012202
[1619/5000][120/535][167089] Loss_D: -0.018709 Loss_G: -0.001488 Loss_D_real: 0.009738 Loss_D_fake 0.028447
[1619/5000][125/535][167090] Loss_D: -0.018465 Loss_G: 0.001338 Loss_D_real: -0.009296 Loss_D_fake 0.009169
[1619/5000][130/535][167091] Loss_D: -0.018425 Loss_G: 0.006008 Loss_D_real: -0.015596 Loss_D_fake 0.002829
[1619/5000][135/535][167092] Loss_D: -0.018152 Loss_G: -0.000106 Loss_D_real: -0.022130 Loss_D_fake -0.003978
[1619/5000][140/535][167093] Loss_D: -0.018975 Loss_G: 0.003333 Loss_D_real: -0.015009 Loss_D_fake 0.003966
[1619/5000][145/535][167094] Loss_D: -0.017848 Loss_G: 0.011250 Loss_D_real: -0.023312 Loss_D_fake -0.005464
[1619/5000][150/535][167095] Loss_D: -0.019776 Loss_G: 0.001795 Loss_D_real: -0.011549 Loss_D_fake 0.008227
[1619/5000][155/535][167096] Loss_D: -0.019439 Loss_G: 0.013397 Loss_D_real: -0.015576 Loss_D_fake 0.003862
[1619/5000][160/535][167097] Loss_D: -0.017295 Loss_G: 0.023257 Loss_D_real: -0.027833 Loss_D_fake -0.010538
[1619/5000][165/535][167098] Loss_D: -0.019969 Loss_G: -0.000245 Loss_D_real: -0.020811 Loss_D_fake -0.000842
[1619/5000][170/535][167099] Loss_D: -0.018620 Loss_G: 0.015081 Loss_D_real: -0.006367 Loss_D_fake 0.012253
[1619/5000][175/535][167100] Loss_D: -0.017662 Loss_G: -0.010317 Loss_D_real: -0.003595 Loss_D_fake 0.014067
[1619/5000][180/535][167101] Loss_D: -0.017315 Loss_G: 0.026135 Loss_D_real: -0.020996 Loss_D_fake -0.003681
[1619/5000][185/535][167102] Loss_D: -0.019137 Loss_G: 0.011482 Loss_D_real: -0.019865 Loss_D_fake -0.000728
[1619/5000][190/535][167103] Loss_D: -0.018614 Loss_G: -0.006427 Loss_D_real: -0.014896 Loss_D_fake 0.003718
[1619/5000][195/535][167104] Loss_D: -0.020084 Loss_G: 0.016021 Loss_D_real: -0.005936 Loss_D_fake 0.014148
[1619/5000][200/535][167105] Loss_D: -0.017748 Loss_G: 0.024197 Loss_D_real: -0.019143 Loss_D_fake -0.001395
[1619/5000][205/535][167106] Loss_D: -0.019216 Loss_G: -0.005647 Loss_D_real: -0.013345 Loss_D_fake 0.005871
[1619/5000][210/535][167107] Loss_D: -0.019107 Loss_G: 0.022728 Loss_D_real: -0.028732 Loss_D_fake -0.009625
[1619/5000][215/535][167108] Loss_D: -0.018677 Loss_G: 0.009198 Loss_D_real: -0.026880 Loss_D_fake -0.008203
[1619/5000][220/535][167109] Loss_D: -0.020013 Loss_G: 0.014300 Loss_D_real: -0.018099 Loss_D_fake 0.001913
[1619/5000][225/535][167110] Loss_D: -0.019501 Loss_G: 0.013027 Loss_D_real: -0.021254 Loss_D_fake -0.001753
[1619/5000][230/535][167111] Loss_D: -0.018823 Loss_G: -0.003236 Loss_D_real: -0.006821 Loss_D_fake 0.012002
[1619/5000][235/535][167112] Loss_D: -0.018554 Loss_G: -0.020098 Loss_D_real: -0.001018 Loss_D_fake 0.017536
[1619/5000][240/535][167113] Loss_D: -0.018529 Loss_G: 0.017049 Loss_D_real: -0.018552 Loss_D_fake -0.000023
[1619/5000][245/535][167114] Loss_D: -0.017244 Loss_G: -0.006815 Loss_D_real: -0.011088 Loss_D_fake 0.006156
[1619/5000][250/535][167115] Loss_D: -0.018323 Loss_G: 0.018435 Loss_D_real: -0.021448 Loss_D_fake -0.003125
[1619/5000][255/535][167116] Loss_D: -0.019731 Loss_G: 0.004695 Loss_D_real: -0.015372 Loss_D_fake 0.004359
[1619/5000][260/535][167117] Loss_D: -0.018144 Loss_G: 0.017663 Loss_D_real: -0.021235 Loss_D_fake -0.003091
[1619/5000][265/535][167118] Loss_D: -0.018885 Loss_G: 0.001872 Loss_D_real: -0.018552 Loss_D_fake 0.000333
[1619/5000][270/535][167119] Loss_D: -0.019649 Loss_G: 0.005154 Loss_D_real: -0.011321 Loss_D_fake 0.008328
[1619/5000][275/535][167120] Loss_D: -0.019040 Loss_G: 0.017946 Loss_D_real: -0.022153 Loss_D_fake -0.003114
[1619/5000][280/535][167121] Loss_D: -0.018427 Loss_G: -0.009016 Loss_D_real: -0.006665 Loss_D_fake 0.011761
[1619/5000][285/535][167122] Loss_D: -0.020446 Loss_G: 0.012461 Loss_D_real: -0.003684 Loss_D_fake 0.016762
[1619/5000][290/535][167123] Loss_D: -0.019366 Loss_G: -0.008982 Loss_D_real: -0.009942 Loss_D_fake 0.009424
[1619/5000][295/535][167124] Loss_D: -0.017789 Loss_G: -0.010446 Loss_D_real: 0.004405 Loss_D_fake 0.022195
[1619/5000][300/535][167125] Loss_D: -0.018439 Loss_G: 0.009858 Loss_D_real: -0.009817 Loss_D_fake 0.008622
[1619/5000][305/535][167126] Loss_D: -0.018244 Loss_G: 0.007873 Loss_D_real: -0.015885 Loss_D_fake 0.002359
[1619/5000][310/535][167127] Loss_D: -0.019007 Loss_G: 0.021665 Loss_D_real: -0.013026 Loss_D_fake 0.005981
[1619/5000][315/535][167128] Loss_D: -0.019106 Loss_G: 0.005462 Loss_D_real: -0.014981 Loss_D_fake 0.004125
[1619/5000][320/535][167129] Loss_D: -0.019934 Loss_G: 0.001137 Loss_D_real: -0.015815 Loss_D_fake 0.004120
[1619/5000][325/535][167130] Loss_D: -0.019032 Loss_G: -0.007724 Loss_D_real: -0.006282 Loss_D_fake 0.012751
[1619/5000][330/535][167131] Loss_D: -0.019225 Loss_G: 0.011934 Loss_D_real: -0.020990 Loss_D_fake -0.001765
[1619/5000][335/535][167132] Loss_D: -0.018587 Loss_G: 0.010664 Loss_D_real: -0.022822 Loss_D_fake -0.004236
[1619/5000][340/535][167133] Loss_D: -0.018197 Loss_G: 0.000814 Loss_D_real: -0.012857 Loss_D_fake 0.005340
[1619/5000][345/535][167134] Loss_D: -0.018342 Loss_G: 0.015482 Loss_D_real: -0.024755 Loss_D_fake -0.006413
[1619/5000][350/535][167135] Loss_D: -0.019077 Loss_G: 0.013454 Loss_D_real: -0.006698 Loss_D_fake 0.012379
[1619/5000][355/535][167136] Loss_D: -0.020746 Loss_G: 0.006427 Loss_D_real: -0.017652 Loss_D_fake 0.003094
[1619/5000][360/535][167137] Loss_D: -0.019933 Loss_G: -0.008311 Loss_D_real: -0.011254 Loss_D_fake 0.008679
[1619/5000][365/535][167138] Loss_D: -0.019574 Loss_G: 0.004742 Loss_D_real: -0.020530 Loss_D_fake -0.000956
[1619/5000][370/535][167139] Loss_D: -0.018788 Loss_G: 0.015048 Loss_D_real: -0.031878 Loss_D_fake -0.013090
[1619/5000][375/535][167140] Loss_D: -0.018959 Loss_G: -0.011576 Loss_D_real: 0.001611 Loss_D_fake 0.020570
[1619/5000][380/535][167141] Loss_D: -0.019552 Loss_G: 0.006570 Loss_D_real: -0.020115 Loss_D_fake -0.000563
[1619/5000][385/535][167142] Loss_D: -0.019434 Loss_G: 0.022614 Loss_D_real: -0.031484 Loss_D_fake -0.012050
[1619/5000][390/535][167143] Loss_D: -0.020545 Loss_G: 0.006691 Loss_D_real: -0.015610 Loss_D_fake 0.004935
[1619/5000][395/535][167144] Loss_D: -0.019844 Loss_G: 0.014438 Loss_D_real: -0.006244 Loss_D_fake 0.013600
[1619/5000][400/535][167145] Loss_D: -0.019730 Loss_G: 0.010653 Loss_D_real: -0.025634 Loss_D_fake -0.005905
[1619/5000][405/535][167146] Loss_D: -0.019947 Loss_G: -0.009599 Loss_D_real: -0.000170 Loss_D_fake 0.019778
[1619/5000][410/535][167147] Loss_D: -0.020108 Loss_G: 0.004557 Loss_D_real: 0.003221 Loss_D_fake 0.023329
[1619/5000][415/535][167148] Loss_D: -0.020089 Loss_G: 0.019499 Loss_D_real: -0.029046 Loss_D_fake -0.008957
[1619/5000][420/535][167149] Loss_D: -0.020066 Loss_G: -0.001925 Loss_D_real: -0.018188 Loss_D_fake 0.001878
[1619/5000][425/535][167150] Loss_D: -0.017503 Loss_G: 0.007612 Loss_D_real: -0.015713 Loss_D_fake 0.001790
[1619/5000][430/535][167151] Loss_D: -0.019272 Loss_G: 0.007485 Loss_D_real: -0.016410 Loss_D_fake 0.002862
[1619/5000][435/535][167152] Loss_D: -0.018749 Loss_G: 0.015763 Loss_D_real: -0.019299 Loss_D_fake -0.000550
[1619/5000][440/535][167153] Loss_D: -0.017781 Loss_G: -0.015429 Loss_D_real: 0.000864 Loss_D_fake 0.018645
[1619/5000][445/535][167154] Loss_D: -0.020106 Loss_G: 0.005369 Loss_D_real: -0.004533 Loss_D_fake 0.015572
[1619/5000][450/535][167155] Loss_D: -0.020140 Loss_G: -0.009180 Loss_D_real: 0.002727 Loss_D_fake 0.022868
[1619/5000][455/535][167156] Loss_D: -0.017479 Loss_G: -0.014190 Loss_D_real: -0.002399 Loss_D_fake 0.015080
[1619/5000][460/535][167157] Loss_D: -0.018969 Loss_G: 0.002966 Loss_D_real: -0.002776 Loss_D_fake 0.016193
[1619/5000][465/535][167158] Loss_D: -0.018039 Loss_G: 0.007177 Loss_D_real: -0.022899 Loss_D_fake -0.004860
[1619/5000][470/535][167159] Loss_D: -0.020300 Loss_G: 0.008261 Loss_D_real: -0.011412 Loss_D_fake 0.008888
[1619/5000][475/535][167160] Loss_D: -0.020613 Loss_G: 0.013696 Loss_D_real: -0.015633 Loss_D_fake 0.004980
[1619/5000][480/535][167161] Loss_D: -0.019009 Loss_G: 0.017830 Loss_D_real: -0.021247 Loss_D_fake -0.002238
[1619/5000][485/535][167162] Loss_D: -0.019250 Loss_G: 0.000386 Loss_D_real: -0.016681 Loss_D_fake 0.002568
[1619/5000][490/535][167163] Loss_D: -0.019068 Loss_G: -0.009090 Loss_D_real: -0.012153 Loss_D_fake 0.006915
[1619/5000][495/535][167164] Loss_D: -0.019847 Loss_G: -0.002301 Loss_D_real: -0.007966 Loss_D_fake 0.011881
[1619/5000][500/535][167165] Loss_D: -0.018956 Loss_G: 0.005229 Loss_D_real: -0.022993 Loss_D_fake -0.004037
[1619/5000][505/535][167166] Loss_D: -0.017900 Loss_G: 0.017858 Loss_D_real: -0.026211 Loss_D_fake -0.008311
[1619/5000][510/535][167167] Loss_D: -0.019638 Loss_G: -0.006010 Loss_D_real: -0.002721 Loss_D_fake 0.016917
[1619/5000][515/535][167168] Loss_D: -0.019695 Loss_G: 0.029301 Loss_D_real: -0.024963 Loss_D_fake -0.005268
[1619/5000][520/535][167169] Loss_D: -0.019311 Loss_G: 0.012691 Loss_D_real: -0.021588 Loss_D_fake -0.002278
[1619/5000][525/535][167170] Loss_D: -0.017539 Loss_G: 0.005629 Loss_D_real: -0.018705 Loss_D_fake -0.001166
[1619/5000][530/535][167171] Loss_D: -0.018389 Loss_G: 0.012313 Loss_D_real: -0.020622 Loss_D_fake -0.002233
[1619/5000][535/535][167172] Loss_D: -0.014997 Loss_G: -0.019478 Loss_D_real: -0.002247 Loss_D_fake 0.012751
[1620/5000][5/535][167173] Loss_D: -0.018882 Loss_G: -0.000467 Loss_D_real: -0.013006 Loss_D_fake 0.005876
[1620/5000][10/535][167174] Loss_D: -0.018804 Loss_G: 0.004651 Loss_D_real: -0.012415 Loss_D_fake 0.006389
[1620/5000][15/535][167175] Loss_D: -0.019144 Loss_G: 0.006061 Loss_D_real: -0.012117 Loss_D_fake 0.007027
[1620/5000][20/535][167176] Loss_D: -0.019554 Loss_G: 0.029806 Loss_D_real: -0.016053 Loss_D_fake 0.003501
[1620/5000][25/535][167177] Loss_D: -0.018727 Loss_G: 0.006646 Loss_D_real: -0.011554 Loss_D_fake 0.007173
[1620/5000][30/535][167178] Loss_D: -0.018963 Loss_G: -0.005626 Loss_D_real: -0.004489 Loss_D_fake 0.014474
[1620/5000][35/535][167179] Loss_D: -0.018750 Loss_G: -0.010825 Loss_D_real: 0.005263 Loss_D_fake 0.024012
[1620/5000][40/535][167180] Loss_D: -0.018775 Loss_G: 0.003883 Loss_D_real: -0.017903 Loss_D_fake 0.000872
[1620/5000][45/535][167181] Loss_D: -0.019791 Loss_G: 0.020200 Loss_D_real: -0.016165 Loss_D_fake 0.003626
[1620/5000][50/535][167182] Loss_D: -0.018960 Loss_G: -0.007682 Loss_D_real: -0.005374 Loss_D_fake 0.013585
[1620/5000][55/535][167183] Loss_D: -0.019128 Loss_G: -0.006845 Loss_D_real: -0.025713 Loss_D_fake -0.006586
[1620/5000][60/535][167184] Loss_D: -0.019727 Loss_G: 0.000613 Loss_D_real: -0.014560 Loss_D_fake 0.005167
[1620/5000][65/535][167185] Loss_D: -0.019208 Loss_G: 0.020199 Loss_D_real: -0.017823 Loss_D_fake 0.001384
[1620/5000][70/535][167186] Loss_D: -0.019063 Loss_G: 0.000325 Loss_D_real: -0.003124 Loss_D_fake 0.015939
[1620/5000][75/535][167187] Loss_D: -0.020105 Loss_G: 0.021268 Loss_D_real: -0.014814 Loss_D_fake 0.005291
[1620/5000][80/535][167188] Loss_D: -0.019909 Loss_G: 0.027847 Loss_D_real: -0.028404 Loss_D_fake -0.008495
[1620/5000][85/535][167189] Loss_D: -0.019186 Loss_G: -0.001481 Loss_D_real: -0.001276 Loss_D_fake 0.017910
[1620/5000][90/535][167190] Loss_D: -0.019000 Loss_G: 0.013348 Loss_D_real: -0.030937 Loss_D_fake -0.011936
[1620/5000][95/535][167191] Loss_D: -0.019496 Loss_G: 0.010399 Loss_D_real: -0.024196 Loss_D_fake -0.004700
[1620/5000][100/535][167192] Loss_D: -0.019160 Loss_G: 0.015740 Loss_D_real: -0.016932 Loss_D_fake 0.002228
[1620/5000][105/535][167193] Loss_D: -0.018458 Loss_G: -0.011310 Loss_D_real: 0.001039 Loss_D_fake 0.019497
[1620/5000][110/535][167194] Loss_D: -0.018842 Loss_G: -0.005854 Loss_D_real: -0.009574 Loss_D_fake 0.009267
[1620/5000][115/535][167195] Loss_D: -0.020155 Loss_G: 0.020303 Loss_D_real: -0.029796 Loss_D_fake -0.009642
[1620/5000][120/535][167196] Loss_D: -0.020302 Loss_G: 0.008745 Loss_D_real: -0.013977 Loss_D_fake 0.006325
[1620/5000][125/535][167197] Loss_D: -0.019791 Loss_G: 0.018267 Loss_D_real: -0.023757 Loss_D_fake -0.003966
[1620/5000][130/535][167198] Loss_D: -0.020029 Loss_G: 0.010940 Loss_D_real: -0.023438 Loss_D_fake -0.003409
[1620/5000][135/535][167199] Loss_D: -0.019425 Loss_G: 0.007810 Loss_D_real: -0.022877 Loss_D_fake -0.003452
[1620/5000][140/535][167200] Loss_D: -0.020787 Loss_G: -0.012629 Loss_D_real: -0.026054 Loss_D_fake -0.005267
[1620/5000][145/535][167201] Loss_D: -0.019319 Loss_G: 0.025114 Loss_D_real: -0.017311 Loss_D_fake 0.002009
[1620/5000][150/535][167202] Loss_D: -0.018029 Loss_G: 0.016241 Loss_D_real: -0.020322 Loss_D_fake -0.002293
[1620/5000][155/535][167203] Loss_D: -0.020126 Loss_G: 0.007811 Loss_D_real: -0.024118 Loss_D_fake -0.003992
[1620/5000][160/535][167204] Loss_D: -0.020966 Loss_G: 0.012216 Loss_D_real: -0.019412 Loss_D_fake 0.001554
[1620/5000][165/535][167205] Loss_D: -0.018452 Loss_G: -0.017018 Loss_D_real: -0.013512 Loss_D_fake 0.004940
[1620/5000][170/535][167206] Loss_D: -0.018520 Loss_G: 0.003298 Loss_D_real: -0.011825 Loss_D_fake 0.006695
[1620/5000][175/535][167207] Loss_D: -0.018605 Loss_G: -0.008641 Loss_D_real: -0.009385 Loss_D_fake 0.009219
[1620/5000][180/535][167208] Loss_D: -0.018714 Loss_G: 0.026531 Loss_D_real: -0.028046 Loss_D_fake -0.009332
[1620/5000][185/535][167209] Loss_D: -0.018060 Loss_G: -0.002499 Loss_D_real: -0.016444 Loss_D_fake 0.001616
[1620/5000][190/535][167210] Loss_D: -0.018641 Loss_G: 0.014105 Loss_D_real: -0.022703 Loss_D_fake -0.004062
[1620/5000][195/535][167211] Loss_D: -0.019594 Loss_G: 0.010061 Loss_D_real: -0.010756 Loss_D_fake 0.008838
[1620/5000][200/535][167212] Loss_D: -0.018235 Loss_G: 0.009834 Loss_D_real: -0.008623 Loss_D_fake 0.009612
[1620/5000][205/535][167213] Loss_D: -0.018373 Loss_G: -0.006855 Loss_D_real: -0.006288 Loss_D_fake 0.012084
[1620/5000][210/535][167214] Loss_D: -0.018983 Loss_G: -0.004197 Loss_D_real: -0.010222 Loss_D_fake 0.008761
[1620/5000][215/535][167215] Loss_D: -0.018669 Loss_G: -0.006873 Loss_D_real: 0.003628 Loss_D_fake 0.022297
[1620/5000][220/535][167216] Loss_D: -0.018998 Loss_G: 0.017092 Loss_D_real: -0.032046 Loss_D_fake -0.013048
[1620/5000][225/535][167217] Loss_D: -0.018272 Loss_G: 0.014444 Loss_D_real: -0.019125 Loss_D_fake -0.000853
[1620/5000][230/535][167218] Loss_D: -0.019610 Loss_G: 0.001466 Loss_D_real: -0.010549 Loss_D_fake 0.009061
[1620/5000][235/535][167219] Loss_D: -0.018224 Loss_G: 0.002121 Loss_D_real: -0.016085 Loss_D_fake 0.002140
[1620/5000][240/535][167220] Loss_D: -0.018902 Loss_G: 0.015864 Loss_D_real: -0.020577 Loss_D_fake -0.001675
[1620/5000][245/535][167221] Loss_D: -0.017673 Loss_G: -0.006259 Loss_D_real: 0.000131 Loss_D_fake 0.017804
[1620/5000][250/535][167222] Loss_D: -0.019086 Loss_G: 0.019418 Loss_D_real: -0.030992 Loss_D_fake -0.011906
[1620/5000][255/535][167223] Loss_D: -0.018972 Loss_G: 0.005257 Loss_D_real: -0.018095 Loss_D_fake 0.000877
[1620/5000][260/535][167224] Loss_D: -0.017191 Loss_G: 0.012551 Loss_D_real: -0.031558 Loss_D_fake -0.014367
[1620/5000][265/535][167225] Loss_D: -0.019352 Loss_G: -0.004750 Loss_D_real: -0.005713 Loss_D_fake 0.013639
[1620/5000][270/535][167226] Loss_D: -0.020215 Loss_G: 0.013200 Loss_D_real: -0.019501 Loss_D_fake 0.000714
[1620/5000][275/535][167227] Loss_D: -0.019165 Loss_G: 0.012371 Loss_D_real: -0.023486 Loss_D_fake -0.004320
[1620/5000][280/535][167228] Loss_D: -0.019926 Loss_G: 0.008400 Loss_D_real: -0.013019 Loss_D_fake 0.006907
[1620/5000][285/535][167229] Loss_D: -0.018414 Loss_G: -0.013177 Loss_D_real: -0.001218 Loss_D_fake 0.017196
[1620/5000][290/535][167230] Loss_D: -0.019921 Loss_G: 0.016608 Loss_D_real: -0.013887 Loss_D_fake 0.006034
[1620/5000][295/535][167231] Loss_D: -0.019423 Loss_G: -0.009434 Loss_D_real: -0.005386 Loss_D_fake 0.014037
[1620/5000][300/535][167232] Loss_D: -0.017826 Loss_G: -0.016025 Loss_D_real: -0.001339 Loss_D_fake 0.016488
[1620/5000][305/535][167233] Loss_D: -0.017602 Loss_G: -0.017940 Loss_D_real: -0.008450 Loss_D_fake 0.009152
[1620/5000][310/535][167234] Loss_D: -0.018845 Loss_G: 0.017160 Loss_D_real: -0.015434 Loss_D_fake 0.003411
[1620/5000][315/535][167235] Loss_D: -0.018812 Loss_G: 0.003416 Loss_D_real: -0.026162 Loss_D_fake -0.007350
[1620/5000][320/535][167236] Loss_D: -0.018118 Loss_G: 0.001248 Loss_D_real: -0.013602 Loss_D_fake 0.004516
[1620/5000][325/535][167237] Loss_D: -0.018602 Loss_G: 0.021141 Loss_D_real: -0.033668 Loss_D_fake -0.015066
[1620/5000][330/535][167238] Loss_D: -0.018979 Loss_G: -0.003105 Loss_D_real: -0.002818 Loss_D_fake 0.016161
[1620/5000][335/535][167239] Loss_D: -0.018910 Loss_G: 0.014297 Loss_D_real: -0.022947 Loss_D_fake -0.004037
[1620/5000][340/535][167240] Loss_D: -0.018487 Loss_G: -0.006761 Loss_D_real: -0.008831 Loss_D_fake 0.009656
[1620/5000][345/535][167241] Loss_D: -0.018664 Loss_G: 0.012234 Loss_D_real: -0.020854 Loss_D_fake -0.002190
[1620/5000][350/535][167242] Loss_D: -0.017747 Loss_G: 0.019454 Loss_D_real: -0.028144 Loss_D_fake -0.010397
[1620/5000][355/535][167243] Loss_D: -0.018517 Loss_G: -0.011179 Loss_D_real: -0.006934 Loss_D_fake 0.011582
[1620/5000][360/535][167244] Loss_D: -0.017804 Loss_G: -0.009016 Loss_D_real: 0.002270 Loss_D_fake 0.020074
[1620/5000][365/535][167245] Loss_D: -0.019387 Loss_G: 0.015948 Loss_D_real: -0.018038 Loss_D_fake 0.001349
[1620/5000][370/535][167246] Loss_D: -0.019587 Loss_G: 0.016330 Loss_D_real: -0.024359 Loss_D_fake -0.004772
[1620/5000][375/535][167247] Loss_D: -0.019703 Loss_G: 0.001402 Loss_D_real: -0.020721 Loss_D_fake -0.001018
[1620/5000][380/535][167248] Loss_D: -0.019894 Loss_G: 0.005530 Loss_D_real: -0.023335 Loss_D_fake -0.003441
[1620/5000][385/535][167249] Loss_D: -0.019210 Loss_G: 0.026993 Loss_D_real: -0.030590 Loss_D_fake -0.011380
[1620/5000][390/535][167250] Loss_D: -0.018086 Loss_G: -0.009226 Loss_D_real: -0.001353 Loss_D_fake 0.016733
[1620/5000][395/535][167251] Loss_D: -0.018399 Loss_G: -0.002237 Loss_D_real: -0.002742 Loss_D_fake 0.015657
[1620/5000][400/535][167252] Loss_D: -0.019359 Loss_G: 0.025173 Loss_D_real: -0.017198 Loss_D_fake 0.002162
[1620/5000][405/535][167253] Loss_D: -0.019576 Loss_G: 0.016172 Loss_D_real: -0.008834 Loss_D_fake 0.010742
[1620/5000][410/535][167254] Loss_D: -0.019805 Loss_G: 0.018110 Loss_D_real: -0.022003 Loss_D_fake -0.002199
[1620/5000][415/535][167255] Loss_D: -0.019852 Loss_G: 0.009479 Loss_D_real: -0.020828 Loss_D_fake -0.000976
[1620/5000][420/535][167256] Loss_D: -0.019944 Loss_G: 0.000876 Loss_D_real: -0.007258 Loss_D_fake 0.012686
[1620/5000][425/535][167257] Loss_D: -0.020412 Loss_G: 0.011362 Loss_D_real: -0.021282 Loss_D_fake -0.000870
[1620/5000][430/535][167258] Loss_D: -0.019740 Loss_G: -0.000673 Loss_D_real: -0.013685 Loss_D_fake 0.006055
[1620/5000][435/535][167259] Loss_D: -0.020071 Loss_G: 0.008623 Loss_D_real: -0.007924 Loss_D_fake 0.012147
[1620/5000][440/535][167260] Loss_D: -0.020413 Loss_G: 0.007664 Loss_D_real: -0.020001 Loss_D_fake 0.000412
[1620/5000][445/535][167261] Loss_D: -0.019476 Loss_G: 0.004314 Loss_D_real: -0.014780 Loss_D_fake 0.004695
[1620/5000][450/535][167262] Loss_D: -0.019620 Loss_G: -0.009667 Loss_D_real: -0.001256 Loss_D_fake 0.018365
[1620/5000][455/535][167263] Loss_D: -0.017795 Loss_G: 0.028551 Loss_D_real: -0.019562 Loss_D_fake -0.001767
[1620/5000][460/535][167264] Loss_D: -0.019121 Loss_G: 0.016235 Loss_D_real: -0.017547 Loss_D_fake 0.001574
[1620/5000][465/535][167265] Loss_D: -0.019514 Loss_G: 0.009569 Loss_D_real: -0.020785 Loss_D_fake -0.001270
[1620/5000][470/535][167266] Loss_D: -0.018039 Loss_G: -0.018583 Loss_D_real: -0.006348 Loss_D_fake 0.011691
[1620/5000][475/535][167267] Loss_D: -0.017859 Loss_G: 0.012896 Loss_D_real: -0.006048 Loss_D_fake 0.011811
[1620/5000][480/535][167268] Loss_D: -0.018473 Loss_G: 0.013166 Loss_D_real: -0.028935 Loss_D_fake -0.010462
[1620/5000][485/535][167269] Loss_D: -0.017535 Loss_G: 0.013605 Loss_D_real: -0.023680 Loss_D_fake -0.006146
[1620/5000][490/535][167270] Loss_D: -0.019001 Loss_G: 0.015954 Loss_D_real: -0.026309 Loss_D_fake -0.007308
[1620/5000][495/535][167271] Loss_D: -0.018215 Loss_G: 0.010197 Loss_D_real: -0.019101 Loss_D_fake -0.000885
[1620/5000][500/535][167272] Loss_D: -0.018583 Loss_G: -0.000629 Loss_D_real: -0.009673 Loss_D_fake 0.008910
[1620/5000][505/535][167273] Loss_D: -0.018858 Loss_G: -0.019196 Loss_D_real: -0.012861 Loss_D_fake 0.005996
[1620/5000][510/535][167274] Loss_D: -0.020086 Loss_G: 0.014591 Loss_D_real: -0.021704 Loss_D_fake -0.001618
[1620/5000][515/535][167275] Loss_D: -0.019350 Loss_G: -0.003359 Loss_D_real: -0.009111 Loss_D_fake 0.010238
[1620/5000][520/535][167276] Loss_D: -0.018494 Loss_G: 0.011000 Loss_D_real: -0.017156 Loss_D_fake 0.001337
[1620/5000][525/535][167277] Loss_D: -0.019335 Loss_G: -0.003062 Loss_D_real: -0.008153 Loss_D_fake 0.011182
[1620/5000][530/535][167278] Loss_D: -0.021018 Loss_G: 0.016517 Loss_D_real: -0.025386 Loss_D_fake -0.004368
[1620/5000][535/535][167279] Loss_D: -0.016124 Loss_G: 0.012528 Loss_D_real: -0.023465 Loss_D_fake -0.007342
[1621/5000][5/535][167280] Loss_D: -0.021531 Loss_G: 0.015085 Loss_D_real: -0.021254 Loss_D_fake 0.000277
[1621/5000][10/535][167281] Loss_D: -0.019396 Loss_G: 0.002326 Loss_D_real: -0.010992 Loss_D_fake 0.008405
[1621/5000][15/535][167282] Loss_D: -0.019376 Loss_G: 0.026932 Loss_D_real: -0.024872 Loss_D_fake -0.005497
[1621/5000][20/535][167283] Loss_D: -0.018268 Loss_G: -0.008676 Loss_D_real: -0.002147 Loss_D_fake 0.016121
[1621/5000][25/535][167284] Loss_D: -0.016622 Loss_G: 0.015128 Loss_D_real: -0.028618 Loss_D_fake -0.011996
[1621/5000][30/535][167285] Loss_D: -0.018765 Loss_G: 0.004395 Loss_D_real: -0.021605 Loss_D_fake -0.002841
[1621/5000][35/535][167286] Loss_D: -0.019273 Loss_G: 0.016948 Loss_D_real: -0.023877 Loss_D_fake -0.004604
[1621/5000][40/535][167287] Loss_D: -0.018206 Loss_G: 0.018765 Loss_D_real: -0.027703 Loss_D_fake -0.009497
[1621/5000][45/535][167288] Loss_D: -0.018624 Loss_G: 0.009597 Loss_D_real: 0.003654 Loss_D_fake 0.022277
[1621/5000][50/535][167289] Loss_D: -0.018245 Loss_G: -0.008872 Loss_D_real: -0.011150 Loss_D_fake 0.007095
[1621/5000][55/535][167290] Loss_D: -0.017977 Loss_G: 0.004233 Loss_D_real: -0.014699 Loss_D_fake 0.003278
[1621/5000][60/535][167291] Loss_D: -0.018073 Loss_G: 0.019988 Loss_D_real: -0.017617 Loss_D_fake 0.000456
[1621/5000][65/535][167292] Loss_D: -0.020139 Loss_G: 0.009953 Loss_D_real: -0.012762 Loss_D_fake 0.007377
[1621/5000][70/535][167293] Loss_D: -0.019097 Loss_G: -0.000541 Loss_D_real: -0.009178 Loss_D_fake 0.009919
[1621/5000][75/535][167294] Loss_D: -0.017049 Loss_G: 0.030950 Loss_D_real: -0.023483 Loss_D_fake -0.006433
[1621/5000][80/535][167295] Loss_D: -0.019013 Loss_G: 0.010439 Loss_D_real: -0.041408 Loss_D_fake -0.022395
[1621/5000][85/535][167296] Loss_D: -0.019862 Loss_G: 0.002260 Loss_D_real: -0.010736 Loss_D_fake 0.009126
[1621/5000][90/535][167297] Loss_D: -0.018949 Loss_G: -0.004030 Loss_D_real: -0.002462 Loss_D_fake 0.016487
[1621/5000][95/535][167298] Loss_D: -0.019202 Loss_G: 0.003092 Loss_D_real: -0.020821 Loss_D_fake -0.001618
[1621/5000][100/535][167299] Loss_D: -0.019068 Loss_G: -0.012343 Loss_D_real: -0.010727 Loss_D_fake 0.008341
[1621/5000][105/535][167300] Loss_D: -0.019308 Loss_G: 0.007809 Loss_D_real: -0.006966 Loss_D_fake 0.012342
[1621/5000][110/535][167301] Loss_D: -0.019509 Loss_G: -0.002992 Loss_D_real: -0.017269 Loss_D_fake 0.002240
[1621/5000][115/535][167302] Loss_D: -0.018903 Loss_G: 0.012545 Loss_D_real: -0.023156 Loss_D_fake -0.004253
[1621/5000][120/535][167303] Loss_D: -0.018049 Loss_G: 0.003063 Loss_D_real: -0.004445 Loss_D_fake 0.013604
[1621/5000][125/535][167304] Loss_D: -0.018058 Loss_G: 0.003059 Loss_D_real: -0.006795 Loss_D_fake 0.011263
[1621/5000][130/535][167305] Loss_D: -0.020209 Loss_G: -0.002975 Loss_D_real: -0.001944 Loss_D_fake 0.018265
[1621/5000][135/535][167306] Loss_D: -0.019694 Loss_G: 0.009302 Loss_D_real: -0.008001 Loss_D_fake 0.011693
[1621/5000][140/535][167307] Loss_D: -0.018133 Loss_G: 0.039974 Loss_D_real: -0.029265 Loss_D_fake -0.011133
[1621/5000][145/535][167308] Loss_D: -0.019746 Loss_G: 0.013529 Loss_D_real: -0.018384 Loss_D_fake 0.001362
[1621/5000][150/535][167309] Loss_D: -0.018782 Loss_G: 0.012860 Loss_D_real: -0.022567 Loss_D_fake -0.003785
[1621/5000][155/535][167310] Loss_D: -0.018050 Loss_G: -0.015694 Loss_D_real: 0.004738 Loss_D_fake 0.022788
[1621/5000][160/535][167311] Loss_D: -0.018979 Loss_G: 0.020727 Loss_D_real: -0.022573 Loss_D_fake -0.003594
[1621/5000][165/535][167312] Loss_D: -0.019151 Loss_G: -0.015718 Loss_D_real: 0.005969 Loss_D_fake 0.025119
[1621/5000][170/535][167313] Loss_D: -0.019292 Loss_G: 0.006339 Loss_D_real: -0.019724 Loss_D_fake -0.000431
[1621/5000][175/535][167314] Loss_D: -0.020063 Loss_G: 0.000394 Loss_D_real: -0.016478 Loss_D_fake 0.003585
[1621/5000][180/535][167315] Loss_D: -0.019346 Loss_G: 0.027069 Loss_D_real: -0.028836 Loss_D_fake -0.009490
[1621/5000][185/535][167316] Loss_D: -0.019345 Loss_G: -0.014687 Loss_D_real: 0.002899 Loss_D_fake 0.022244
[1621/5000][190/535][167317] Loss_D: -0.018397 Loss_G: 0.008616 Loss_D_real: -0.016257 Loss_D_fake 0.002140
[1621/5000][195/535][167318] Loss_D: -0.016878 Loss_G: -0.013021 Loss_D_real: -0.002672 Loss_D_fake 0.014206
[1621/5000][200/535][167319] Loss_D: -0.017845 Loss_G: 0.014309 Loss_D_real: -0.014987 Loss_D_fake 0.002858
[1621/5000][205/535][167320] Loss_D: -0.016777 Loss_G: -0.015409 Loss_D_real: -0.013436 Loss_D_fake 0.003341
[1621/5000][210/535][167321] Loss_D: -0.020147 Loss_G: 0.011361 Loss_D_real: -0.015175 Loss_D_fake 0.004972
[1621/5000][215/535][167322] Loss_D: -0.018984 Loss_G: 0.010410 Loss_D_real: -0.014381 Loss_D_fake 0.004603
[1621/5000][220/535][167323] Loss_D: -0.020453 Loss_G: 0.028399 Loss_D_real: -0.025822 Loss_D_fake -0.005369
[1621/5000][225/535][167324] Loss_D: -0.019594 Loss_G: 0.010387 Loss_D_real: -0.021293 Loss_D_fake -0.001699
[1621/5000][230/535][167325] Loss_D: -0.018811 Loss_G: 0.022996 Loss_D_real: -0.030755 Loss_D_fake -0.011944
[1621/5000][235/535][167326] Loss_D: -0.019782 Loss_G: 0.008325 Loss_D_real: -0.010777 Loss_D_fake 0.009005
[1621/5000][240/535][167327] Loss_D: -0.019425 Loss_G: 0.006825 Loss_D_real: -0.015407 Loss_D_fake 0.004019
[1621/5000][245/535][167328] Loss_D: -0.019681 Loss_G: 0.002788 Loss_D_real: -0.020541 Loss_D_fake -0.000860
[1621/5000][250/535][167329] Loss_D: -0.019031 Loss_G: 0.012719 Loss_D_real: -0.024834 Loss_D_fake -0.005803
[1621/5000][255/535][167330] Loss_D: -0.020290 Loss_G: 0.020558 Loss_D_real: -0.026502 Loss_D_fake -0.006212
[1621/5000][260/535][167331] Loss_D: -0.019763 Loss_G: 0.013023 Loss_D_real: -0.021761 Loss_D_fake -0.001998
[1621/5000][265/535][167332] Loss_D: -0.018295 Loss_G: 0.013240 Loss_D_real: -0.017910 Loss_D_fake 0.000385
[1621/5000][270/535][167333] Loss_D: -0.020355 Loss_G: 0.000725 Loss_D_real: -0.019377 Loss_D_fake 0.000977
[1621/5000][275/535][167334] Loss_D: -0.019872 Loss_G: 0.012060 Loss_D_real: -0.008086 Loss_D_fake 0.011787
[1621/5000][280/535][167335] Loss_D: -0.019589 Loss_G: 0.007036 Loss_D_real: -0.013492 Loss_D_fake 0.006098
[1621/5000][285/535][167336] Loss_D: -0.019115 Loss_G: 0.005155 Loss_D_real: -0.019683 Loss_D_fake -0.000569
[1621/5000][290/535][167337] Loss_D: -0.018728 Loss_G: 0.018421 Loss_D_real: -0.023705 Loss_D_fake -0.004978
[1621/5000][295/535][167338] Loss_D: -0.019859 Loss_G: 0.006037 Loss_D_real: -0.008455 Loss_D_fake 0.011404
[1621/5000][300/535][167339] Loss_D: -0.020307 Loss_G: 0.016609 Loss_D_real: -0.017545 Loss_D_fake 0.002762
[1621/5000][305/535][167340] Loss_D: -0.020779 Loss_G: -0.017824 Loss_D_real: -0.017814 Loss_D_fake 0.002965
[1621/5000][310/535][167341] Loss_D: -0.018735 Loss_G: 0.010196 Loss_D_real: -0.019806 Loss_D_fake -0.001071
[1621/5000][315/535][167342] Loss_D: -0.017570 Loss_G: -0.001284 Loss_D_real: -0.005173 Loss_D_fake 0.012398
[1621/5000][320/535][167343] Loss_D: -0.019806 Loss_G: 0.015044 Loss_D_real: -0.010417 Loss_D_fake 0.009388
[1621/5000][325/535][167344] Loss_D: -0.019278 Loss_G: 0.010117 Loss_D_real: -0.012767 Loss_D_fake 0.006511
[1621/5000][330/535][167345] Loss_D: -0.017898 Loss_G: -0.011615 Loss_D_real: -0.008241 Loss_D_fake 0.009657
[1621/5000][335/535][167346] Loss_D: -0.018726 Loss_G: 0.022904 Loss_D_real: -0.021373 Loss_D_fake -0.002647
[1621/5000][340/535][167347] Loss_D: -0.016508 Loss_G: -0.007937 Loss_D_real: 0.005373 Loss_D_fake 0.021882
[1621/5000][345/535][167348] Loss_D: -0.018783 Loss_G: 0.006958 Loss_D_real: -0.023263 Loss_D_fake -0.004480
[1621/5000][350/535][167349] Loss_D: -0.018396 Loss_G: -0.006737 Loss_D_real: 0.003009 Loss_D_fake 0.021405
[1621/5000][355/535][167350] Loss_D: -0.017467 Loss_G: -0.008238 Loss_D_real: -0.008438 Loss_D_fake 0.009029
[1621/5000][360/535][167351] Loss_D: -0.018666 Loss_G: 0.018416 Loss_D_real: -0.019357 Loss_D_fake -0.000691
[1621/5000][365/535][167352] Loss_D: -0.020014 Loss_G: 0.017088 Loss_D_real: -0.005045 Loss_D_fake 0.014969
[1621/5000][370/535][167353] Loss_D: -0.018426 Loss_G: 0.018434 Loss_D_real: -0.020299 Loss_D_fake -0.001872
[1621/5000][375/535][167354] Loss_D: -0.018762 Loss_G: -0.003263 Loss_D_real: -0.011380 Loss_D_fake 0.007382
[1621/5000][380/535][167355] Loss_D: -0.017991 Loss_G: 0.013532 Loss_D_real: -0.025982 Loss_D_fake -0.007992
[1621/5000][385/535][167356] Loss_D: -0.019570 Loss_G: 0.011790 Loss_D_real: -0.008356 Loss_D_fake 0.011214
[1621/5000][390/535][167357] Loss_D: -0.019037 Loss_G: 0.000597 Loss_D_real: -0.015356 Loss_D_fake 0.003681
[1621/5000][395/535][167358] Loss_D: -0.018418 Loss_G: 0.022273 Loss_D_real: -0.029465 Loss_D_fake -0.011046
[1621/5000][400/535][167359] Loss_D: -0.018990 Loss_G: 0.013129 Loss_D_real: -0.016340 Loss_D_fake 0.002649
[1621/5000][405/535][167360] Loss_D: -0.019998 Loss_G: 0.003785 Loss_D_real: -0.024939 Loss_D_fake -0.004941
[1621/5000][410/535][167361] Loss_D: -0.017665 Loss_G: 0.005084 Loss_D_real: -0.024654 Loss_D_fake -0.006989
[1621/5000][415/535][167362] Loss_D: -0.019486 Loss_G: -0.007029 Loss_D_real: -0.004772 Loss_D_fake 0.014714
[1621/5000][420/535][167363] Loss_D: -0.018415 Loss_G: -0.016052 Loss_D_real: -0.004446 Loss_D_fake 0.013969
[1621/5000][425/535][167364] Loss_D: -0.017614 Loss_G: 0.033949 Loss_D_real: -0.013683 Loss_D_fake 0.003931
[1621/5000][430/535][167365] Loss_D: -0.018307 Loss_G: -0.006723 Loss_D_real: -0.014994 Loss_D_fake 0.003313
[1621/5000][435/535][167366] Loss_D: -0.018079 Loss_G: -0.001741 Loss_D_real: -0.003023 Loss_D_fake 0.015056
[1621/5000][440/535][167367] Loss_D: -0.018079 Loss_G: 0.013981 Loss_D_real: -0.025238 Loss_D_fake -0.007159
[1621/5000][445/535][167368] Loss_D: -0.018706 Loss_G: 0.008590 Loss_D_real: -0.010343 Loss_D_fake 0.008362
[1621/5000][450/535][167369] Loss_D: -0.019239 Loss_G: -0.007135 Loss_D_real: -0.018388 Loss_D_fake 0.000851
[1621/5000][455/535][167370] Loss_D: -0.019622 Loss_G: 0.011552 Loss_D_real: -0.020679 Loss_D_fake -0.001057
[1621/5000][460/535][167371] Loss_D: -0.019754 Loss_G: 0.018836 Loss_D_real: -0.024627 Loss_D_fake -0.004873
[1621/5000][465/535][167372] Loss_D: -0.018199 Loss_G: -0.004099 Loss_D_real: -0.020947 Loss_D_fake -0.002748
[1621/5000][470/535][167373] Loss_D: -0.018689 Loss_G: 0.016126 Loss_D_real: -0.020998 Loss_D_fake -0.002308
[1621/5000][475/535][167374] Loss_D: -0.019769 Loss_G: 0.001574 Loss_D_real: -0.015712 Loss_D_fake 0.004057
[1621/5000][480/535][167375] Loss_D: -0.019166 Loss_G: 0.014261 Loss_D_real: -0.014215 Loss_D_fake 0.004951
[1621/5000][485/535][167376] Loss_D: -0.020627 Loss_G: 0.018593 Loss_D_real: -0.018110 Loss_D_fake 0.002517
[1621/5000][490/535][167377] Loss_D: -0.018814 Loss_G: -0.003634 Loss_D_real: -0.002416 Loss_D_fake 0.016398
[1621/5000][495/535][167378] Loss_D: -0.017726 Loss_G: 0.012406 Loss_D_real: -0.020200 Loss_D_fake -0.002474
[1621/5000][500/535][167379] Loss_D: -0.018631 Loss_G: 0.016128 Loss_D_real: -0.015004 Loss_D_fake 0.003627
[1621/5000][505/535][167380] Loss_D: -0.019473 Loss_G: 0.001776 Loss_D_real: -0.023776 Loss_D_fake -0.004304
[1621/5000][510/535][167381] Loss_D: -0.019143 Loss_G: 0.017737 Loss_D_real: -0.014676 Loss_D_fake 0.004467
[1621/5000][515/535][167382] Loss_D: -0.020133 Loss_G: 0.002742 Loss_D_real: -0.016033 Loss_D_fake 0.004100
[1621/5000][520/535][167383] Loss_D: -0.019522 Loss_G: 0.006845 Loss_D_real: -0.002569 Loss_D_fake 0.016953
[1621/5000][525/535][167384] Loss_D: -0.019454 Loss_G: 0.021709 Loss_D_real: -0.027095 Loss_D_fake -0.007641
[1621/5000][530/535][167385] Loss_D: -0.021256 Loss_G: 0.009881 Loss_D_real: -0.033560 Loss_D_fake -0.012304
[1621/5000][535/535][167386] Loss_D: -0.020242 Loss_G: -0.001562 Loss_D_real: -0.002045 Loss_D_fake 0.018197
[1622/5000][5/535][167387] Loss_D: -0.018727 Loss_G: 0.016987 Loss_D_real: -0.024680 Loss_D_fake -0.005953
[1622/5000][10/535][167388] Loss_D: -0.019779 Loss_G: -0.002865 Loss_D_real: -0.022789 Loss_D_fake -0.003010
[1622/5000][15/535][167389] Loss_D: -0.019050 Loss_G: -0.001451 Loss_D_real: -0.009733 Loss_D_fake 0.009317
[1622/5000][20/535][167390] Loss_D: -0.019871 Loss_G: 0.002182 Loss_D_real: -0.017794 Loss_D_fake 0.002077
[1622/5000][25/535][167391] Loss_D: -0.019337 Loss_G: 0.008106 Loss_D_real: -0.012321 Loss_D_fake 0.007016
[1622/5000][30/535][167392] Loss_D: -0.017643 Loss_G: 0.025362 Loss_D_real: -0.022244 Loss_D_fake -0.004601
[1622/5000][35/535][167393] Loss_D: -0.018867 Loss_G: -0.008945 Loss_D_real: -0.004391 Loss_D_fake 0.014476
[1622/5000][40/535][167394] Loss_D: -0.019634 Loss_G: 0.020510 Loss_D_real: -0.015705 Loss_D_fake 0.003930
[1622/5000][45/535][167395] Loss_D: -0.019252 Loss_G: 0.001270 Loss_D_real: -0.021349 Loss_D_fake -0.002098
[1622/5000][50/535][167396] Loss_D: -0.019795 Loss_G: -0.002925 Loss_D_real: -0.001432 Loss_D_fake 0.018363
[1622/5000][55/535][167397] Loss_D: -0.018147 Loss_G: 0.012970 Loss_D_real: -0.018978 Loss_D_fake -0.000831
[1622/5000][60/535][167398] Loss_D: -0.018974 Loss_G: 0.001224 Loss_D_real: -0.015976 Loss_D_fake 0.002998
[1622/5000][65/535][167399] Loss_D: -0.019122 Loss_G: -0.005523 Loss_D_real: -0.009555 Loss_D_fake 0.009567
[1622/5000][70/535][167400] Loss_D: -0.018946 Loss_G: 0.004314 Loss_D_real: -0.017555 Loss_D_fake 0.001391
[1622/5000][75/535][167401] Loss_D: -0.019549 Loss_G: 0.008436 Loss_D_real: -0.024274 Loss_D_fake -0.004725
[1622/5000][80/535][167402] Loss_D: -0.018230 Loss_G: -0.015423 Loss_D_real: -0.000350 Loss_D_fake 0.017880
[1622/5000][85/535][167403] Loss_D: -0.019240 Loss_G: 0.012206 Loss_D_real: -0.018499 Loss_D_fake 0.000741
[1622/5000][90/535][167404] Loss_D: -0.019056 Loss_G: 0.001289 Loss_D_real: -0.007487 Loss_D_fake 0.011569
[1622/5000][95/535][167405] Loss_D: -0.018369 Loss_G: 0.004224 Loss_D_real: -0.013491 Loss_D_fake 0.004878
[1622/5000][100/535][167406] Loss_D: -0.018438 Loss_G: 0.024873 Loss_D_real: -0.029292 Loss_D_fake -0.010854
[1622/5000][105/535][167407] Loss_D: -0.019134 Loss_G: 0.007960 Loss_D_real: -0.019755 Loss_D_fake -0.000621
[1622/5000][110/535][167408] Loss_D: -0.019581 Loss_G: -0.000017 Loss_D_real: -0.008468 Loss_D_fake 0.011112
[1622/5000][115/535][167409] Loss_D: -0.018167 Loss_G: 0.019717 Loss_D_real: -0.023405 Loss_D_fake -0.005238
[1622/5000][120/535][167410] Loss_D: -0.018435 Loss_G: 0.019572 Loss_D_real: -0.020211 Loss_D_fake -0.001776
[1622/5000][125/535][167411] Loss_D: -0.019601 Loss_G: -0.010231 Loss_D_real: -0.012237 Loss_D_fake 0.007363
[1622/5000][130/535][167412] Loss_D: -0.019568 Loss_G: 0.009398 Loss_D_real: -0.006410 Loss_D_fake 0.013157
[1622/5000][135/535][167413] Loss_D: -0.018338 Loss_G: -0.008062 Loss_D_real: -0.003770 Loss_D_fake 0.014569
[1622/5000][140/535][167414] Loss_D: -0.018153 Loss_G: 0.005352 Loss_D_real: -0.012448 Loss_D_fake 0.005705
[1622/5000][145/535][167415] Loss_D: -0.018435 Loss_G: 0.009810 Loss_D_real: -0.022700 Loss_D_fake -0.004266
[1622/5000][150/535][167416] Loss_D: -0.019926 Loss_G: 0.006839 Loss_D_real: -0.011541 Loss_D_fake 0.008386
[1622/5000][155/535][167417] Loss_D: -0.019960 Loss_G: 0.019610 Loss_D_real: -0.026265 Loss_D_fake -0.006305
[1622/5000][160/535][167418] Loss_D: -0.019923 Loss_G: 0.003425 Loss_D_real: -0.010603 Loss_D_fake 0.009320
[1622/5000][165/535][167419] Loss_D: -0.020604 Loss_G: -0.007165 Loss_D_real: -0.004047 Loss_D_fake 0.016558
[1622/5000][170/535][167420] Loss_D: -0.017751 Loss_G: -0.003150 Loss_D_real: 0.008702 Loss_D_fake 0.026454
[1622/5000][175/535][167421] Loss_D: -0.020336 Loss_G: 0.005437 Loss_D_real: -0.009109 Loss_D_fake 0.011227
[1622/5000][180/535][167422] Loss_D: -0.019901 Loss_G: 0.020958 Loss_D_real: -0.021738 Loss_D_fake -0.001837
[1622/5000][185/535][167423] Loss_D: -0.019367 Loss_G: -0.000644 Loss_D_real: -0.007206 Loss_D_fake 0.012162
[1622/5000][190/535][167424] Loss_D: -0.020417 Loss_G: 0.009601 Loss_D_real: -0.018731 Loss_D_fake 0.001686
[1622/5000][195/535][167425] Loss_D: -0.019013 Loss_G: 0.016136 Loss_D_real: -0.022828 Loss_D_fake -0.003815
[1622/5000][200/535][167426] Loss_D: -0.019747 Loss_G: 0.020484 Loss_D_real: -0.021402 Loss_D_fake -0.001656
[1622/5000][205/535][167427] Loss_D: -0.018437 Loss_G: 0.015012 Loss_D_real: -0.030731 Loss_D_fake -0.012294
[1622/5000][210/535][167428] Loss_D: -0.018915 Loss_G: -0.003182 Loss_D_real: -0.016150 Loss_D_fake 0.002764
[1622/5000][215/535][167429] Loss_D: -0.020381 Loss_G: 0.014794 Loss_D_real: -0.011365 Loss_D_fake 0.009015
[1622/5000][220/535][167430] Loss_D: -0.019789 Loss_G: -0.008873 Loss_D_real: -0.004508 Loss_D_fake 0.015281
[1622/5000][225/535][167431] Loss_D: -0.022342 Loss_G: 0.012616 Loss_D_real: -0.017943 Loss_D_fake 0.004399
[1622/5000][230/535][167432] Loss_D: -0.019601 Loss_G: 0.013935 Loss_D_real: -0.016497 Loss_D_fake 0.003104
[1622/5000][235/535][167433] Loss_D: -0.020260 Loss_G: 0.004035 Loss_D_real: -0.021691 Loss_D_fake -0.001430
[1622/5000][240/535][167434] Loss_D: -0.018493 Loss_G: 0.007522 Loss_D_real: -0.018470 Loss_D_fake 0.000023
[1622/5000][245/535][167435] Loss_D: -0.020111 Loss_G: -0.000293 Loss_D_real: -0.023650 Loss_D_fake -0.003538
[1622/5000][250/535][167436] Loss_D: -0.019536 Loss_G: -0.001296 Loss_D_real: -0.014286 Loss_D_fake 0.005250
[1622/5000][255/535][167437] Loss_D: -0.018887 Loss_G: 0.018454 Loss_D_real: -0.026734 Loss_D_fake -0.007847
[1622/5000][260/535][167438] Loss_D: -0.018613 Loss_G: 0.025244 Loss_D_real: -0.027768 Loss_D_fake -0.009155
[1622/5000][265/535][167439] Loss_D: -0.019318 Loss_G: 0.008012 Loss_D_real: -0.018976 Loss_D_fake 0.000343
[1622/5000][270/535][167440] Loss_D: -0.019335 Loss_G: 0.010868 Loss_D_real: -0.027015 Loss_D_fake -0.007680
[1622/5000][275/535][167441] Loss_D: -0.017754 Loss_G: 0.004030 Loss_D_real: -0.010760 Loss_D_fake 0.006994
[1622/5000][280/535][167442] Loss_D: -0.019284 Loss_G: 0.001343 Loss_D_real: -0.011977 Loss_D_fake 0.007307
[1622/5000][285/535][167443] Loss_D: -0.018649 Loss_G: 0.013429 Loss_D_real: -0.026650 Loss_D_fake -0.008000
[1622/5000][290/535][167444] Loss_D: -0.019896 Loss_G: 0.010781 Loss_D_real: -0.018010 Loss_D_fake 0.001885
[1622/5000][295/535][167445] Loss_D: -0.018512 Loss_G: -0.005635 Loss_D_real: -0.010563 Loss_D_fake 0.007949
[1622/5000][300/535][167446] Loss_D: -0.019568 Loss_G: 0.019511 Loss_D_real: -0.018229 Loss_D_fake 0.001339
[1622/5000][305/535][167447] Loss_D: -0.018415 Loss_G: -0.006703 Loss_D_real: -0.007539 Loss_D_fake 0.010876
[1622/5000][310/535][167448] Loss_D: -0.018082 Loss_G: 0.017824 Loss_D_real: -0.029991 Loss_D_fake -0.011909
[1622/5000][315/535][167449] Loss_D: -0.019174 Loss_G: 0.001254 Loss_D_real: 0.004103 Loss_D_fake 0.023277
[1622/5000][320/535][167450] Loss_D: -0.017668 Loss_G: 0.014735 Loss_D_real: -0.023324 Loss_D_fake -0.005656
[1622/5000][325/535][167451] Loss_D: -0.018533 Loss_G: 0.003976 Loss_D_real: -0.026896 Loss_D_fake -0.008363
[1622/5000][330/535][167452] Loss_D: -0.017025 Loss_G: -0.005080 Loss_D_real: -0.001444 Loss_D_fake 0.015581
[1622/5000][335/535][167453] Loss_D: -0.017236 Loss_G: 0.022592 Loss_D_real: -0.026965 Loss_D_fake -0.009729
[1622/5000][340/535][167454] Loss_D: -0.018799 Loss_G: 0.017449 Loss_D_real: -0.034355 Loss_D_fake -0.015556
[1622/5000][345/535][167455] Loss_D: -0.018903 Loss_G: 0.015299 Loss_D_real: -0.014122 Loss_D_fake 0.004781
[1622/5000][350/535][167456] Loss_D: -0.018084 Loss_G: 0.022062 Loss_D_real: -0.017554 Loss_D_fake 0.000531
[1622/5000][355/535][167457] Loss_D: -0.018141 Loss_G: 0.025360 Loss_D_real: -0.033697 Loss_D_fake -0.015556
[1622/5000][360/535][167458] Loss_D: -0.019935 Loss_G: 0.024383 Loss_D_real: -0.012918 Loss_D_fake 0.007017
[1622/5000][365/535][167459] Loss_D: -0.020406 Loss_G: 0.001379 Loss_D_real: -0.010794 Loss_D_fake 0.009611
[1622/5000][370/535][167460] Loss_D: -0.018655 Loss_G: 0.002228 Loss_D_real: -0.012850 Loss_D_fake 0.005806
[1622/5000][375/535][167461] Loss_D: -0.018375 Loss_G: -0.018541 Loss_D_real: -0.003976 Loss_D_fake 0.014400
[1622/5000][380/535][167462] Loss_D: -0.019634 Loss_G: 0.003881 Loss_D_real: -0.004414 Loss_D_fake 0.015220
[1622/5000][385/535][167463] Loss_D: -0.018025 Loss_G: -0.001387 Loss_D_real: -0.006054 Loss_D_fake 0.011971
[1622/5000][390/535][167464] Loss_D: -0.018358 Loss_G: 0.012164 Loss_D_real: -0.016595 Loss_D_fake 0.001762
[1622/5000][395/535][167465] Loss_D: -0.017734 Loss_G: -0.008385 Loss_D_real: -0.021306 Loss_D_fake -0.003572
[1622/5000][400/535][167466] Loss_D: -0.018886 Loss_G: 0.012018 Loss_D_real: -0.007080 Loss_D_fake 0.011807
[1622/5000][405/535][167467] Loss_D: -0.019240 Loss_G: -0.011696 Loss_D_real: -0.003694 Loss_D_fake 0.015546
[1622/5000][410/535][167468] Loss_D: -0.018841 Loss_G: -0.010586 Loss_D_real: -0.003158 Loss_D_fake 0.015682
[1622/5000][415/535][167469] Loss_D: -0.019908 Loss_G: 0.011370 Loss_D_real: -0.028197 Loss_D_fake -0.008289
[1622/5000][420/535][167470] Loss_D: -0.017251 Loss_G: 0.027843 Loss_D_real: -0.024055 Loss_D_fake -0.006804
[1622/5000][425/535][167471] Loss_D: -0.018840 Loss_G: -0.002603 Loss_D_real: -0.003426 Loss_D_fake 0.015414
[1622/5000][430/535][167472] Loss_D: -0.019464 Loss_G: 0.010933 Loss_D_real: -0.010689 Loss_D_fake 0.008774
[1622/5000][435/535][167473] Loss_D: -0.018785 Loss_G: -0.001013 Loss_D_real: -0.014467 Loss_D_fake 0.004318
[1622/5000][440/535][167474] Loss_D: -0.019328 Loss_G: 0.015230 Loss_D_real: -0.023167 Loss_D_fake -0.003839
[1622/5000][445/535][167475] Loss_D: -0.019084 Loss_G: -0.001967 Loss_D_real: 0.005454 Loss_D_fake 0.024538
[1622/5000][450/535][167476] Loss_D: -0.019129 Loss_G: 0.015497 Loss_D_real: -0.023010 Loss_D_fake -0.003881
[1622/5000][455/535][167477] Loss_D: -0.019481 Loss_G: -0.006082 Loss_D_real: -0.016734 Loss_D_fake 0.002747
[1622/5000][460/535][167478] Loss_D: -0.019066 Loss_G: 0.020601 Loss_D_real: -0.021781 Loss_D_fake -0.002715
[1622/5000][465/535][167479] Loss_D: -0.019643 Loss_G: 0.001361 Loss_D_real: -0.026092 Loss_D_fake -0.006449
[1622/5000][470/535][167480] Loss_D: -0.020349 Loss_G: 0.008951 Loss_D_real: -0.025737 Loss_D_fake -0.005387
[1622/5000][475/535][167481] Loss_D: -0.019734 Loss_G: -0.003555 Loss_D_real: -0.003095 Loss_D_fake 0.016639
[1622/5000][480/535][167482] Loss_D: -0.019244 Loss_G: 0.012513 Loss_D_real: -0.011765 Loss_D_fake 0.007480
[1622/5000][485/535][167483] Loss_D: -0.018830 Loss_G: 0.003487 Loss_D_real: -0.008750 Loss_D_fake 0.010080
[1622/5000][490/535][167484] Loss_D: -0.018019 Loss_G: 0.009092 Loss_D_real: -0.028075 Loss_D_fake -0.010056
[1622/5000][495/535][167485] Loss_D: -0.018461 Loss_G: 0.001865 Loss_D_real: -0.018955 Loss_D_fake -0.000495
[1622/5000][500/535][167486] Loss_D: -0.017481 Loss_G: 0.026003 Loss_D_real: -0.026309 Loss_D_fake -0.008828
[1622/5000][505/535][167487] Loss_D: -0.018922 Loss_G: -0.003855 Loss_D_real: -0.011119 Loss_D_fake 0.007803
[1622/5000][510/535][167488] Loss_D: -0.018686 Loss_G: -0.002178 Loss_D_real: -0.010428 Loss_D_fake 0.008258
[1622/5000][515/535][167489] Loss_D: -0.020057 Loss_G: 0.008703 Loss_D_real: -0.009872 Loss_D_fake 0.010185
[1622/5000][520/535][167490] Loss_D: -0.019702 Loss_G: 0.009128 Loss_D_real: -0.015508 Loss_D_fake 0.004194
[1622/5000][525/535][167491] Loss_D: -0.018787 Loss_G: 0.023513 Loss_D_real: -0.017919 Loss_D_fake 0.000869
[1622/5000][530/535][167492] Loss_D: -0.019889 Loss_G: -0.006251 Loss_D_real: -0.020270 Loss_D_fake -0.000381
[1622/5000][535/535][167493] Loss_D: -0.018899 Loss_G: -0.010995 Loss_D_real: -0.009320 Loss_D_fake 0.009580
[1623/5000][5/535][167494] Loss_D: -0.020091 Loss_G: 0.012258 Loss_D_real: -0.022055 Loss_D_fake -0.001964
[1623/5000][10/535][167495] Loss_D: -0.019210 Loss_G: -0.000923 Loss_D_real: -0.005184 Loss_D_fake 0.014026
[1623/5000][15/535][167496] Loss_D: -0.018795 Loss_G: 0.015858 Loss_D_real: -0.021164 Loss_D_fake -0.002369
[1623/5000][20/535][167497] Loss_D: -0.019315 Loss_G: 0.009830 Loss_D_real: -0.009143 Loss_D_fake 0.010172
[1623/5000][25/535][167498] Loss_D: -0.017989 Loss_G: -0.009486 Loss_D_real: -0.002844 Loss_D_fake 0.015144
[1623/5000][30/535][167499] Loss_D: -0.018787 Loss_G: 0.009214 Loss_D_real: -0.033339 Loss_D_fake -0.014551
[1623/5000][35/535][167500] Loss_D: -0.018765 Loss_G: 0.021632 Loss_D_real: -0.035122 Loss_D_fake -0.016358
[1623/5000][135/535][167501] Loss_D: -0.022728 Loss_G: 0.025822 Loss_D_real: -0.032939 Loss_D_fake -0.010211
[1623/5000][140/535][167502] Loss_D: -0.019201 Loss_G: 0.001142 Loss_D_real: -0.012571 Loss_D_fake 0.006630
[1623/5000][145/535][167503] Loss_D: -0.018456 Loss_G: -0.009922 Loss_D_real: -0.000975 Loss_D_fake 0.017481
[1623/5000][150/535][167504] Loss_D: -0.019298 Loss_G: 0.013399 Loss_D_real: -0.015435 Loss_D_fake 0.003863
[1623/5000][155/535][167505] Loss_D: -0.018876 Loss_G: -0.001567 Loss_D_real: -0.011140 Loss_D_fake 0.007737
[1623/5000][160/535][167506] Loss_D: -0.019633 Loss_G: -0.002466 Loss_D_real: -0.012112 Loss_D_fake 0.007521
[1623/5000][165/535][167507] Loss_D: -0.019376 Loss_G: 0.010282 Loss_D_real: -0.012671 Loss_D_fake 0.006705
[1623/5000][170/535][167508] Loss_D: -0.018824 Loss_G: 0.023677 Loss_D_real: -0.022657 Loss_D_fake -0.003834
[1623/5000][175/535][167509] Loss_D: -0.019088 Loss_G: 0.000621 Loss_D_real: -0.009049 Loss_D_fake 0.010039
[1623/5000][180/535][167510] Loss_D: -0.018965 Loss_G: -0.003233 Loss_D_real: -0.015264 Loss_D_fake 0.003701
[1623/5000][185/535][167511] Loss_D: -0.019085 Loss_G: 0.012180 Loss_D_real: -0.010723 Loss_D_fake 0.008362
[1623/5000][190/535][167512] Loss_D: -0.019513 Loss_G: 0.023573 Loss_D_real: -0.018998 Loss_D_fake 0.000515
[1623/5000][195/535][167513] Loss_D: -0.019746 Loss_G: 0.005828 Loss_D_real: -0.018608 Loss_D_fake 0.001138
[1623/5000][200/535][167514] Loss_D: -0.017574 Loss_G: -0.018288 Loss_D_real: 0.010794 Loss_D_fake 0.028368
[1623/5000][205/535][167515] Loss_D: -0.019021 Loss_G: -0.009743 Loss_D_real: -0.010367 Loss_D_fake 0.008654
[1623/5000][210/535][167516] Loss_D: -0.019055 Loss_G: 0.017053 Loss_D_real: -0.018891 Loss_D_fake 0.000164
[1623/5000][215/535][167517] Loss_D: -0.018778 Loss_G: -0.003404 Loss_D_real: -0.012169 Loss_D_fake 0.006609
[1623/5000][220/535][167518] Loss_D: -0.018585 Loss_G: 0.013161 Loss_D_real: -0.016675 Loss_D_fake 0.001910
[1623/5000][225/535][167519] Loss_D: -0.019083 Loss_G: 0.007520 Loss_D_real: -0.027612 Loss_D_fake -0.008529
[1623/5000][230/535][167520] Loss_D: -0.019831 Loss_G: 0.010653 Loss_D_real: -0.008565 Loss_D_fake 0.011266
[1623/5000][235/535][167521] Loss_D: -0.016959 Loss_G: 0.016701 Loss_D_real: -0.031753 Loss_D_fake -0.014794
[1623/5000][240/535][167522] Loss_D: -0.019485 Loss_G: 0.016719 Loss_D_real: -0.009224 Loss_D_fake 0.010261
[1623/5000][245/535][167523] Loss_D: -0.019276 Loss_G: -0.004132 Loss_D_real: -0.013849 Loss_D_fake 0.005427
[1623/5000][250/535][167524] Loss_D: -0.018045 Loss_G: 0.003990 Loss_D_real: -0.019004 Loss_D_fake -0.000959
[1623/5000][255/535][167525] Loss_D: -0.019386 Loss_G: 0.016070 Loss_D_real: -0.013747 Loss_D_fake 0.005639
[1623/5000][260/535][167526] Loss_D: -0.019815 Loss_G: 0.010833 Loss_D_real: -0.017595 Loss_D_fake 0.002220
[1623/5000][265/535][167527] Loss_D: -0.018650 Loss_G: 0.013375 Loss_D_real: -0.010088 Loss_D_fake 0.008561
[1623/5000][270/535][167528] Loss_D: -0.019045 Loss_G: 0.012568 Loss_D_real: -0.025806 Loss_D_fake -0.006761
[1623/5000][275/535][167529] Loss_D: -0.019229 Loss_G: 0.000820 Loss_D_real: -0.012870 Loss_D_fake 0.006359
[1623/5000][280/535][167530] Loss_D: -0.018431 Loss_G: -0.001069 Loss_D_real: -0.017871 Loss_D_fake 0.000560
[1623/5000][285/535][167531] Loss_D: -0.019760 Loss_G: -0.006731 Loss_D_real: -0.012907 Loss_D_fake 0.006853
[1623/5000][290/535][167532] Loss_D: -0.018519 Loss_G: -0.007703 Loss_D_real: -0.011402 Loss_D_fake 0.007117
[1623/5000][295/535][167533] Loss_D: -0.019786 Loss_G: 0.013205 Loss_D_real: -0.020725 Loss_D_fake -0.000939
[1623/5000][300/535][167534] Loss_D: -0.017169 Loss_G: -0.007217 Loss_D_real: -0.000896 Loss_D_fake 0.016273
[1623/5000][305/535][167535] Loss_D: -0.019279 Loss_G: 0.002817 Loss_D_real: -0.016137 Loss_D_fake 0.003142
[1623/5000][310/535][167536] Loss_D: -0.019134 Loss_G: 0.006117 Loss_D_real: 0.005575 Loss_D_fake 0.024709
[1623/5000][315/535][167537] Loss_D: -0.017942 Loss_G: 0.001175 Loss_D_real: -0.005456 Loss_D_fake 0.012486
[1623/5000][320/535][167538] Loss_D: -0.018438 Loss_G: 0.017183 Loss_D_real: -0.021686 Loss_D_fake -0.003248
[1623/5000][325/535][167539] Loss_D: -0.018318 Loss_G: 0.013569 Loss_D_real: -0.029625 Loss_D_fake -0.011307
[1623/5000][330/535][167540] Loss_D: -0.019709 Loss_G: 0.017117 Loss_D_real: -0.019469 Loss_D_fake 0.000240
[1623/5000][335/535][167541] Loss_D: -0.020285 Loss_G: 0.010095 Loss_D_real: -0.003775 Loss_D_fake 0.016510
[1623/5000][340/535][167542] Loss_D: -0.019596 Loss_G: -0.003018 Loss_D_real: -0.015117 Loss_D_fake 0.004479
[1623/5000][345/535][167543] Loss_D: -0.020576 Loss_G: -0.003136 Loss_D_real: -0.023202 Loss_D_fake -0.002626
[1623/5000][350/535][167544] Loss_D: -0.019625 Loss_G: 0.009362 Loss_D_real: -0.021813 Loss_D_fake -0.002188
[1623/5000][355/535][167545] Loss_D: -0.018287 Loss_G: -0.015696 Loss_D_real: 0.012586 Loss_D_fake 0.030873
[1623/5000][360/535][167546] Loss_D: -0.018737 Loss_G: 0.002993 Loss_D_real: -0.016180 Loss_D_fake 0.002558
[1623/5000][365/535][167547] Loss_D: -0.019658 Loss_G: 0.000160 Loss_D_real: 0.000979 Loss_D_fake 0.020637
[1623/5000][370/535][167548] Loss_D: -0.018729 Loss_G: 0.001143 Loss_D_real: -0.017473 Loss_D_fake 0.001256
[1623/5000][375/535][167549] Loss_D: -0.017483 Loss_G: 0.014566 Loss_D_real: -0.032944 Loss_D_fake -0.015461
[1623/5000][380/535][167550] Loss_D: -0.017761 Loss_G: -0.003992 Loss_D_real: -0.004721 Loss_D_fake 0.013040
[1623/5000][385/535][167551] Loss_D: -0.018972 Loss_G: -0.012215 Loss_D_real: -0.011926 Loss_D_fake 0.007046
[1623/5000][390/535][167552] Loss_D: -0.017993 Loss_G: 0.000238 Loss_D_real: -0.002055 Loss_D_fake 0.015938
[1623/5000][395/535][167553] Loss_D: -0.020579 Loss_G: 0.003237 Loss_D_real: -0.005607 Loss_D_fake 0.014971
[1623/5000][400/535][167554] Loss_D: -0.019162 Loss_G: 0.015620 Loss_D_real: -0.008092 Loss_D_fake 0.011070
[1623/5000][405/535][167555] Loss_D: -0.019568 Loss_G: 0.006807 Loss_D_real: -0.011487 Loss_D_fake 0.008081
[1623/5000][410/535][167556] Loss_D: -0.018873 Loss_G: 0.010510 Loss_D_real: -0.025149 Loss_D_fake -0.006276
[1623/5000][415/535][167557] Loss_D: -0.019146 Loss_G: 0.018088 Loss_D_real: -0.016113 Loss_D_fake 0.003034
[1623/5000][420/535][167558] Loss_D: -0.018510 Loss_G: 0.016335 Loss_D_real: -0.027205 Loss_D_fake -0.008695
[1623/5000][425/535][167559] Loss_D: -0.017663 Loss_G: 0.018774 Loss_D_real: -0.018254 Loss_D_fake -0.000592
[1623/5000][430/535][167560] Loss_D: -0.018766 Loss_G: 0.010994 Loss_D_real: -0.023796 Loss_D_fake -0.005030
[1623/5000][435/535][167561] Loss_D: -0.018375 Loss_G: -0.007259 Loss_D_real: -0.005870 Loss_D_fake 0.012505
[1623/5000][440/535][167562] Loss_D: -0.017882 Loss_G: 0.001652 Loss_D_real: -0.009598 Loss_D_fake 0.008284
[1623/5000][445/535][167563] Loss_D: -0.020393 Loss_G: -0.005105 Loss_D_real: -0.018124 Loss_D_fake 0.002269
[1623/5000][450/535][167564] Loss_D: -0.020011 Loss_G: 0.004456 Loss_D_real: -0.025751 Loss_D_fake -0.005741
[1623/5000][455/535][167565] Loss_D: -0.019088 Loss_G: 0.026312 Loss_D_real: -0.021732 Loss_D_fake -0.002645
[1623/5000][460/535][167566] Loss_D: -0.018537 Loss_G: 0.027474 Loss_D_real: -0.028817 Loss_D_fake -0.010281
[1623/5000][465/535][167567] Loss_D: -0.020311 Loss_G: -0.012668 Loss_D_real: 0.000967 Loss_D_fake 0.021278
[1623/5000][470/535][167568] Loss_D: -0.018784 Loss_G: -0.005628 Loss_D_real: -0.022144 Loss_D_fake -0.003360
[1623/5000][475/535][167569] Loss_D: -0.019602 Loss_G: 0.000565 Loss_D_real: -0.014023 Loss_D_fake 0.005579
[1623/5000][480/535][167570] Loss_D: -0.019347 Loss_G: 0.009936 Loss_D_real: -0.012239 Loss_D_fake 0.007108
[1623/5000][485/535][167571] Loss_D: -0.020106 Loss_G: 0.012815 Loss_D_real: -0.018396 Loss_D_fake 0.001710
[1623/5000][490/535][167572] Loss_D: -0.020695 Loss_G: 0.009198 Loss_D_real: -0.023635 Loss_D_fake -0.002940
[1623/5000][495/535][167573] Loss_D: -0.019281 Loss_G: 0.021348 Loss_D_real: -0.017867 Loss_D_fake 0.001414
[1623/5000][500/535][167574] Loss_D: -0.019777 Loss_G: -0.000500 Loss_D_real: -0.010682 Loss_D_fake 0.009095
[1623/5000][505/535][167575] Loss_D: -0.018753 Loss_G: 0.006378 Loss_D_real: -0.026700 Loss_D_fake -0.007947
[1623/5000][510/535][167576] Loss_D: -0.019967 Loss_G: -0.014893 Loss_D_real: -0.018352 Loss_D_fake 0.001616
[1623/5000][515/535][167577] Loss_D: -0.019365 Loss_G: 0.002863 Loss_D_real: -0.014374 Loss_D_fake 0.004991
[1623/5000][520/535][167578] Loss_D: -0.018574 Loss_G: 0.013027 Loss_D_real: -0.024825 Loss_D_fake -0.006251
[1623/5000][525/535][167579] Loss_D: -0.018846 Loss_G: -0.003563 Loss_D_real: -0.021127 Loss_D_fake -0.002281
[1623/5000][530/535][167580] Loss_D: -0.017472 Loss_G: 0.020955 Loss_D_real: -0.024353 Loss_D_fake -0.006882
[1623/5000][535/535][167581] Loss_D: -0.016644 Loss_G: 0.035900 Loss_D_real: -0.014578 Loss_D_fake 0.002066
[1624/5000][5/535][167582] Loss_D: -0.020453 Loss_G: 0.004515 Loss_D_real: -0.018067 Loss_D_fake 0.002386
[1624/5000][10/535][167583] Loss_D: -0.017121 Loss_G: -0.011620 Loss_D_real: 0.005037 Loss_D_fake 0.022158
[1624/5000][15/535][167584] Loss_D: -0.019722 Loss_G: 0.011128 Loss_D_real: -0.015452 Loss_D_fake 0.004270
[1624/5000][20/535][167585] Loss_D: -0.020182 Loss_G: -0.000733 Loss_D_real: -0.006215 Loss_D_fake 0.013967
[1624/5000][25/535][167586] Loss_D: -0.020167 Loss_G: 0.017454 Loss_D_real: -0.011689 Loss_D_fake 0.008478
[1624/5000][30/535][167587] Loss_D: -0.019413 Loss_G: 0.016271 Loss_D_real: -0.010920 Loss_D_fake 0.008493
[1624/5000][35/535][167588] Loss_D: -0.020301 Loss_G: -0.007536 Loss_D_real: -0.009870 Loss_D_fake 0.010431
[1624/5000][40/535][167589] Loss_D: -0.019248 Loss_G: 0.002392 Loss_D_real: -0.022302 Loss_D_fake -0.003053
[1624/5000][45/535][167590] Loss_D: -0.019979 Loss_G: 0.001593 Loss_D_real: -0.000143 Loss_D_fake 0.019836
[1624/5000][50/535][167591] Loss_D: -0.020011 Loss_G: 0.016942 Loss_D_real: -0.011291 Loss_D_fake 0.008720
[1624/5000][55/535][167592] Loss_D: -0.019809 Loss_G: 0.020908 Loss_D_real: -0.025043 Loss_D_fake -0.005234
[1624/5000][60/535][167593] Loss_D: -0.017110 Loss_G: -0.003487 Loss_D_real: 0.007138 Loss_D_fake 0.024248
[1624/5000][65/535][167594] Loss_D: -0.019452 Loss_G: -0.004160 Loss_D_real: -0.022701 Loss_D_fake -0.003249
[1624/5000][70/535][167595] Loss_D: -0.018681 Loss_G: 0.013227 Loss_D_real: -0.011500 Loss_D_fake 0.007181
[1624/5000][75/535][167596] Loss_D: -0.017967 Loss_G: -0.005967 Loss_D_real: -0.019578 Loss_D_fake -0.001612
[1624/5000][80/535][167597] Loss_D: -0.018224 Loss_G: 0.002050 Loss_D_real: -0.004725 Loss_D_fake 0.013499
[1624/5000][85/535][167598] Loss_D: -0.019555 Loss_G: 0.007555 Loss_D_real: -0.020342 Loss_D_fake -0.000788
[1624/5000][90/535][167599] Loss_D: -0.017696 Loss_G: -0.010722 Loss_D_real: -0.003889 Loss_D_fake 0.013807
[1624/5000][95/535][167600] Loss_D: -0.016938 Loss_G: 0.016754 Loss_D_real: -0.029179 Loss_D_fake -0.012241
[1624/5000][100/535][167601] Loss_D: -0.019259 Loss_G: 0.012859 Loss_D_real: -0.019194 Loss_D_fake 0.000065
[1624/5000][105/535][167602] Loss_D: -0.018868 Loss_G: 0.024013 Loss_D_real: -0.014815 Loss_D_fake 0.004054
[1624/5000][110/535][167603] Loss_D: -0.019640 Loss_G: 0.021008 Loss_D_real: -0.025165 Loss_D_fake -0.005525
[1624/5000][115/535][167604] Loss_D: -0.020684 Loss_G: 0.006145 Loss_D_real: -0.012945 Loss_D_fake 0.007739
[1624/5000][120/535][167605] Loss_D: -0.019496 Loss_G: 0.005875 Loss_D_real: -0.012376 Loss_D_fake 0.007120
[1624/5000][125/535][167606] Loss_D: -0.019214 Loss_G: -0.015085 Loss_D_real: 0.000692 Loss_D_fake 0.019906
[1624/5000][130/535][167607] Loss_D: -0.017488 Loss_G: 0.019288 Loss_D_real: -0.033873 Loss_D_fake -0.016385
[1624/5000][135/535][167608] Loss_D: -0.017870 Loss_G: -0.004548 Loss_D_real: -0.002239 Loss_D_fake 0.015631
[1624/5000][140/535][167609] Loss_D: -0.018623 Loss_G: 0.005538 Loss_D_real: -0.024952 Loss_D_fake -0.006329
[1624/5000][145/535][167610] Loss_D: -0.019155 Loss_G: 0.007469 Loss_D_real: 0.002358 Loss_D_fake 0.021513
[1624/5000][150/535][167611] Loss_D: -0.016983 Loss_G: 0.019096 Loss_D_real: -0.024425 Loss_D_fake -0.007442
[1624/5000][155/535][167612] Loss_D: -0.019177 Loss_G: -0.007845 Loss_D_real: -0.007735 Loss_D_fake 0.011442
[1624/5000][160/535][167613] Loss_D: -0.019988 Loss_G: 0.010502 Loss_D_real: -0.017832 Loss_D_fake 0.002156
[1624/5000][165/535][167614] Loss_D: -0.020309 Loss_G: 0.005439 Loss_D_real: -0.008608 Loss_D_fake 0.011700
[1624/5000][170/535][167615] Loss_D: -0.018923 Loss_G: 0.019513 Loss_D_real: -0.021971 Loss_D_fake -0.003048
[1624/5000][175/535][167616] Loss_D: -0.020078 Loss_G: 0.012812 Loss_D_real: -0.017489 Loss_D_fake 0.002589
[1624/5000][180/535][167617] Loss_D: -0.019446 Loss_G: 0.005230 Loss_D_real: -0.023228 Loss_D_fake -0.003782
[1624/5000][185/535][167618] Loss_D: -0.018667 Loss_G: -0.004705 Loss_D_real: -0.012495 Loss_D_fake 0.006172
[1624/5000][190/535][167619] Loss_D: -0.019649 Loss_G: 0.009109 Loss_D_real: -0.020759 Loss_D_fake -0.001110
[1624/5000][195/535][167620] Loss_D: -0.019196 Loss_G: 0.016398 Loss_D_real: -0.013916 Loss_D_fake 0.005280
[1624/5000][200/535][167621] Loss_D: -0.019894 Loss_G: 0.004762 Loss_D_real: -0.017602 Loss_D_fake 0.002292
[1624/5000][205/535][167622] Loss_D: -0.020989 Loss_G: 0.013395 Loss_D_real: -0.007392 Loss_D_fake 0.013597
[1624/5000][210/535][167623] Loss_D: -0.019869 Loss_G: -0.000756 Loss_D_real: -0.011590 Loss_D_fake 0.008278
[1624/5000][215/535][167624] Loss_D: -0.019468 Loss_G: 0.005379 Loss_D_real: -0.011060 Loss_D_fake 0.008409
[1624/5000][220/535][167625] Loss_D: -0.019041 Loss_G: 0.024140 Loss_D_real: -0.026069 Loss_D_fake -0.007029
[1624/5000][225/535][167626] Loss_D: -0.019243 Loss_G: 0.016132 Loss_D_real: -0.012403 Loss_D_fake 0.006840
[1624/5000][230/535][167627] Loss_D: -0.018863 Loss_G: 0.016582 Loss_D_real: -0.022719 Loss_D_fake -0.003856
[1624/5000][235/535][167628] Loss_D: -0.018906 Loss_G: 0.005640 Loss_D_real: -0.006281 Loss_D_fake 0.012625
[1624/5000][240/535][167629] Loss_D: -0.017333 Loss_G: 0.019484 Loss_D_real: -0.030938 Loss_D_fake -0.013605
[1624/5000][245/535][167630] Loss_D: -0.016242 Loss_G: -0.029024 Loss_D_real: 0.012023 Loss_D_fake 0.028265
[1624/5000][250/535][167631] Loss_D: -0.019416 Loss_G: 0.004317 Loss_D_real: -0.010844 Loss_D_fake 0.008572
[1624/5000][255/535][167632] Loss_D: -0.019575 Loss_G: 0.000231 Loss_D_real: -0.011411 Loss_D_fake 0.008164
[1624/5000][260/535][167633] Loss_D: -0.019066 Loss_G: 0.018512 Loss_D_real: -0.022905 Loss_D_fake -0.003839
[1624/5000][265/535][167634] Loss_D: -0.018765 Loss_G: 0.016284 Loss_D_real: -0.028613 Loss_D_fake -0.009848
[1624/5000][270/535][167635] Loss_D: -0.020136 Loss_G: 0.005852 Loss_D_real: -0.023294 Loss_D_fake -0.003158
[1624/5000][275/535][167636] Loss_D: -0.019658 Loss_G: 0.003943 Loss_D_real: -0.011395 Loss_D_fake 0.008264
[1624/5000][280/535][167637] Loss_D: -0.018991 Loss_G: 0.013386 Loss_D_real: -0.022444 Loss_D_fake -0.003453
[1624/5000][285/535][167638] Loss_D: -0.020212 Loss_G: 0.013834 Loss_D_real: -0.009266 Loss_D_fake 0.010947
[1624/5000][290/535][167639] Loss_D: -0.018694 Loss_G: 0.014170 Loss_D_real: -0.033080 Loss_D_fake -0.014387
[1624/5000][295/535][167640] Loss_D: -0.018118 Loss_G: 0.002394 Loss_D_real: -0.027346 Loss_D_fake -0.009228
[1624/5000][300/535][167641] Loss_D: -0.018362 Loss_G: 0.014094 Loss_D_real: -0.034528 Loss_D_fake -0.016166
[1624/5000][305/535][167642] Loss_D: -0.019426 Loss_G: 0.007402 Loss_D_real: -0.017287 Loss_D_fake 0.002139
[1624/5000][310/535][167643] Loss_D: -0.018485 Loss_G: 0.024644 Loss_D_real: -0.025679 Loss_D_fake -0.007194
[1624/5000][315/535][167644] Loss_D: -0.016976 Loss_G: 0.002862 Loss_D_real: -0.010982 Loss_D_fake 0.005995
[1624/5000][320/535][167645] Loss_D: -0.018743 Loss_G: 0.012472 Loss_D_real: -0.032141 Loss_D_fake -0.013398
[1624/5000][325/535][167646] Loss_D: -0.019066 Loss_G: 0.006956 Loss_D_real: -0.018844 Loss_D_fake 0.000222
[1624/5000][330/535][167647] Loss_D: -0.019315 Loss_G: -0.002301 Loss_D_real: -0.006421 Loss_D_fake 0.012894
[1624/5000][335/535][167648] Loss_D: -0.018592 Loss_G: -0.001631 Loss_D_real: -0.013151 Loss_D_fake 0.005442
[1624/5000][340/535][167649] Loss_D: -0.018972 Loss_G: 0.010760 Loss_D_real: -0.023187 Loss_D_fake -0.004215
[1624/5000][345/535][167650] Loss_D: -0.019021 Loss_G: 0.004713 Loss_D_real: -0.002072 Loss_D_fake 0.016949
[1624/5000][350/535][167651] Loss_D: -0.019680 Loss_G: 0.004776 Loss_D_real: -0.028068 Loss_D_fake -0.008387
[1624/5000][355/535][167652] Loss_D: -0.019070 Loss_G: -0.002732 Loss_D_real: -0.011302 Loss_D_fake 0.007767
[1624/5000][360/535][167653] Loss_D: -0.018189 Loss_G: 0.019934 Loss_D_real: -0.027938 Loss_D_fake -0.009748
[1624/5000][365/535][167654] Loss_D: -0.020210 Loss_G: 0.003296 Loss_D_real: -0.002103 Loss_D_fake 0.018107
[1624/5000][370/535][167655] Loss_D: -0.021240 Loss_G: 0.012180 Loss_D_real: -0.018344 Loss_D_fake 0.002897
[1624/5000][375/535][167656] Loss_D: -0.019070 Loss_G: 0.007293 Loss_D_real: -0.024118 Loss_D_fake -0.005048
[1624/5000][380/535][167657] Loss_D: -0.019667 Loss_G: 0.013411 Loss_D_real: -0.024877 Loss_D_fake -0.005210
[1624/5000][385/535][167658] Loss_D: -0.019810 Loss_G: 0.023825 Loss_D_real: -0.005632 Loss_D_fake 0.014178
[1624/5000][390/535][167659] Loss_D: -0.019512 Loss_G: 0.009212 Loss_D_real: -0.019072 Loss_D_fake 0.000441
[1624/5000][395/535][167660] Loss_D: -0.018810 Loss_G: -0.014530 Loss_D_real: -0.005849 Loss_D_fake 0.012962
[1624/5000][400/535][167661] Loss_D: -0.018359 Loss_G: 0.005550 Loss_D_real: -0.000366 Loss_D_fake 0.017992
[1624/5000][405/535][167662] Loss_D: -0.019959 Loss_G: 0.010638 Loss_D_real: -0.023177 Loss_D_fake -0.003218
[1624/5000][410/535][167663] Loss_D: -0.018064 Loss_G: 0.011527 Loss_D_real: -0.016134 Loss_D_fake 0.001930
[1624/5000][415/535][167664] Loss_D: -0.018791 Loss_G: -0.012098 Loss_D_real: -0.001954 Loss_D_fake 0.016837
[1624/5000][420/535][167665] Loss_D: -0.019258 Loss_G: 0.000562 Loss_D_real: -0.017914 Loss_D_fake 0.001345
[1624/5000][425/535][167666] Loss_D: -0.019371 Loss_G: 0.020164 Loss_D_real: -0.027850 Loss_D_fake -0.008480
[1624/5000][430/535][167667] Loss_D: -0.019853 Loss_G: 0.031645 Loss_D_real: -0.021615 Loss_D_fake -0.001762
[1624/5000][435/535][167668] Loss_D: -0.018779 Loss_G: -0.009491 Loss_D_real: -0.018908 Loss_D_fake -0.000129
[1624/5000][440/535][167669] Loss_D: -0.017880 Loss_G: -0.018591 Loss_D_real: -0.011023 Loss_D_fake 0.006858
[1624/5000][445/535][167670] Loss_D: -0.018797 Loss_G: 0.009939 Loss_D_real: -0.033128 Loss_D_fake -0.014330
[1624/5000][450/535][167671] Loss_D: -0.019963 Loss_G: 0.004858 Loss_D_real: -0.011287 Loss_D_fake 0.008676
[1624/5000][455/535][167672] Loss_D: -0.018074 Loss_G: 0.026618 Loss_D_real: -0.022938 Loss_D_fake -0.004863
[1624/5000][460/535][167673] Loss_D: -0.019127 Loss_G: 0.003593 Loss_D_real: -0.012621 Loss_D_fake 0.006506
[1624/5000][465/535][167674] Loss_D: -0.020510 Loss_G: 0.013513 Loss_D_real: -0.014325 Loss_D_fake 0.006184
[1624/5000][470/535][167675] Loss_D: -0.020002 Loss_G: 0.016565 Loss_D_real: -0.027394 Loss_D_fake -0.007393
[1624/5000][475/535][167676] Loss_D: -0.020130 Loss_G: 0.019489 Loss_D_real: -0.019419 Loss_D_fake 0.000711
[1624/5000][480/535][167677] Loss_D: -0.018446 Loss_G: -0.000045 Loss_D_real: -0.016233 Loss_D_fake 0.002213
[1624/5000][485/535][167678] Loss_D: -0.019668 Loss_G: 0.018041 Loss_D_real: -0.013339 Loss_D_fake 0.006329
[1624/5000][490/535][167679] Loss_D: -0.018848 Loss_G: -0.010116 Loss_D_real: -0.011451 Loss_D_fake 0.007397
[1624/5000][495/535][167680] Loss_D: -0.019863 Loss_G: 0.009453 Loss_D_real: -0.018075 Loss_D_fake 0.001788
[1624/5000][500/535][167681] Loss_D: -0.018802 Loss_G: -0.001508 Loss_D_real: -0.012011 Loss_D_fake 0.006791
[1624/5000][505/535][167682] Loss_D: -0.020542 Loss_G: -0.009655 Loss_D_real: -0.006254 Loss_D_fake 0.014288
[1624/5000][510/535][167683] Loss_D: -0.019707 Loss_G: 0.000194 Loss_D_real: -0.012159 Loss_D_fake 0.007548
[1624/5000][515/535][167684] Loss_D: -0.019563 Loss_G: 0.014595 Loss_D_real: -0.012007 Loss_D_fake 0.007556
[1624/5000][520/535][167685] Loss_D: -0.019798 Loss_G: 0.010012 Loss_D_real: -0.013084 Loss_D_fake 0.006715
[1624/5000][525/535][167686] Loss_D: -0.018841 Loss_G: 0.000337 Loss_D_real: -0.009949 Loss_D_fake 0.008892
[1624/5000][530/535][167687] Loss_D: -0.020229 Loss_G: 0.012739 Loss_D_real: -0.013730 Loss_D_fake 0.006499
[1624/5000][535/535][167688] Loss_D: -0.024317 Loss_G: -0.007787 Loss_D_real: -0.036585 Loss_D_fake -0.012268
[1625/5000][5/535][167689] Loss_D: -0.020666 Loss_G: 0.017455 Loss_D_real: -0.023398 Loss_D_fake -0.002732
[1625/5000][10/535][167690] Loss_D: -0.019631 Loss_G: 0.005151 Loss_D_real: -0.016420 Loss_D_fake 0.003211
[1625/5000][15/535][167691] Loss_D: -0.019769 Loss_G: 0.027363 Loss_D_real: -0.023099 Loss_D_fake -0.003330
[1625/5000][20/535][167692] Loss_D: -0.019612 Loss_G: 0.008893 Loss_D_real: -0.012744 Loss_D_fake 0.006868
[1625/5000][25/535][167693] Loss_D: -0.020295 Loss_G: 0.000339 Loss_D_real: -0.020781 Loss_D_fake -0.000487
[1625/5000][30/535][167694] Loss_D: -0.020461 Loss_G: 0.010173 Loss_D_real: -0.018546 Loss_D_fake 0.001915
[1625/5000][35/535][167695] Loss_D: -0.018696 Loss_G: 0.009165 Loss_D_real: -0.004455 Loss_D_fake 0.014241
[1625/5000][40/535][167696] Loss_D: -0.018983 Loss_G: 0.009407 Loss_D_real: -0.007670 Loss_D_fake 0.011313
[1625/5000][45/535][167697] Loss_D: -0.018878 Loss_G: -0.010576 Loss_D_real: -0.003005 Loss_D_fake 0.015872
[1625/5000][50/535][167698] Loss_D: -0.020564 Loss_G: 0.021978 Loss_D_real: -0.026554 Loss_D_fake -0.005990
[1625/5000][55/535][167699] Loss_D: -0.017794 Loss_G: 0.011017 Loss_D_real: -0.032513 Loss_D_fake -0.014719
[1625/5000][60/535][167700] Loss_D: -0.020970 Loss_G: 0.007005 Loss_D_real: -0.020608 Loss_D_fake 0.000361
[1625/5000][65/535][167701] Loss_D: -0.019988 Loss_G: 0.004259 Loss_D_real: -0.008658 Loss_D_fake 0.011330
[1625/5000][70/535][167702] Loss_D: -0.018962 Loss_G: 0.002898 Loss_D_real: -0.007114 Loss_D_fake 0.011848
[1625/5000][75/535][167703] Loss_D: -0.018638 Loss_G: 0.005878 Loss_D_real: -0.014638 Loss_D_fake 0.003999
[1625/5000][80/535][167704] Loss_D: -0.019033 Loss_G: 0.017344 Loss_D_real: -0.025583 Loss_D_fake -0.006549
[1625/5000][85/535][167705] Loss_D: -0.019785 Loss_G: 0.008445 Loss_D_real: -0.011773 Loss_D_fake 0.008013
[1625/5000][90/535][167706] Loss_D: -0.019797 Loss_G: 0.006738 Loss_D_real: -0.024060 Loss_D_fake -0.004263
[1625/5000][95/535][167707] Loss_D: -0.018662 Loss_G: -0.002895 Loss_D_real: -0.015499 Loss_D_fake 0.003162
[1625/5000][100/535][167708] Loss_D: -0.018855 Loss_G: 0.022844 Loss_D_real: -0.022049 Loss_D_fake -0.003195
[1625/5000][105/535][167709] Loss_D: -0.019152 Loss_G: 0.008860 Loss_D_real: -0.022690 Loss_D_fake -0.003538
[1625/5000][110/535][167710] Loss_D: -0.019053 Loss_G: 0.015184 Loss_D_real: -0.018013 Loss_D_fake 0.001041
[1625/5000][115/535][167711] Loss_D: -0.018673 Loss_G: 0.006523 Loss_D_real: -0.016432 Loss_D_fake 0.002241
[1625/5000][120/535][167712] Loss_D: -0.018071 Loss_G: 0.022141 Loss_D_real: -0.036169 Loss_D_fake -0.018098
[1625/5000][125/535][167713] Loss_D: -0.019286 Loss_G: 0.003922 Loss_D_real: -0.010727 Loss_D_fake 0.008559
[1625/5000][130/535][167714] Loss_D: -0.018340 Loss_G: -0.004367 Loss_D_real: -0.008620 Loss_D_fake 0.009720
[1625/5000][135/535][167715] Loss_D: -0.017727 Loss_G: 0.012264 Loss_D_real: -0.026590 Loss_D_fake -0.008863
[1625/5000][140/535][167716] Loss_D: -0.018496 Loss_G: 0.000855 Loss_D_real: -0.008204 Loss_D_fake 0.010292
[1625/5000][145/535][167717] Loss_D: -0.019769 Loss_G: -0.005594 Loss_D_real: 0.000933 Loss_D_fake 0.020702
[1625/5000][150/535][167718] Loss_D: -0.018972 Loss_G: 0.001060 Loss_D_real: -0.017956 Loss_D_fake 0.001017
[1625/5000][155/535][167719] Loss_D: -0.018091 Loss_G: 0.008015 Loss_D_real: -0.023654 Loss_D_fake -0.005564
[1625/5000][160/535][167720] Loss_D: -0.019975 Loss_G: 0.006800 Loss_D_real: -0.017443 Loss_D_fake 0.002532
[1625/5000][165/535][167721] Loss_D: -0.019163 Loss_G: -0.006793 Loss_D_real: -0.010508 Loss_D_fake 0.008655
[1625/5000][170/535][167722] Loss_D: -0.017878 Loss_G: 0.018265 Loss_D_real: -0.024882 Loss_D_fake -0.007005
[1625/5000][175/535][167723] Loss_D: -0.018239 Loss_G: 0.015751 Loss_D_real: -0.014466 Loss_D_fake 0.003772
[1625/5000][180/535][167724] Loss_D: -0.018665 Loss_G: 0.005328 Loss_D_real: -0.020340 Loss_D_fake -0.001674
[1625/5000][185/535][167725] Loss_D: -0.018416 Loss_G: -0.009756 Loss_D_real: -0.012245 Loss_D_fake 0.006172
[1625/5000][190/535][167726] Loss_D: -0.017698 Loss_G: -0.000641 Loss_D_real: -0.014806 Loss_D_fake 0.002892
[1625/5000][195/535][167727] Loss_D: -0.018259 Loss_G: -0.010117 Loss_D_real: -0.008746 Loss_D_fake 0.009513
[1625/5000][200/535][167728] Loss_D: -0.018470 Loss_G: 0.010958 Loss_D_real: -0.021365 Loss_D_fake -0.002895
[1625/5000][205/535][167729] Loss_D: -0.019058 Loss_G: -0.002603 Loss_D_real: 0.002438 Loss_D_fake 0.021497
[1625/5000][210/535][167730] Loss_D: -0.018167 Loss_G: -0.009368 Loss_D_real: 0.002452 Loss_D_fake 0.020619
[1625/5000][215/535][167731] Loss_D: -0.020019 Loss_G: 0.011348 Loss_D_real: -0.022480 Loss_D_fake -0.002461
[1625/5000][220/535][167732] Loss_D: -0.018312 Loss_G: -0.004935 Loss_D_real: -0.014100 Loss_D_fake 0.004212
[1625/5000][225/535][167733] Loss_D: -0.019188 Loss_G: -0.001015 Loss_D_real: -0.011294 Loss_D_fake 0.007894
[1625/5000][230/535][167734] Loss_D: -0.019936 Loss_G: 0.006362 Loss_D_real: -0.017933 Loss_D_fake 0.002003
[1625/5000][235/535][167735] Loss_D: -0.019324 Loss_G: 0.007069 Loss_D_real: -0.005648 Loss_D_fake 0.013676
[1625/5000][240/535][167736] Loss_D: -0.019840 Loss_G: 0.017632 Loss_D_real: -0.020188 Loss_D_fake -0.000348
[1625/5000][245/535][167737] Loss_D: -0.018890 Loss_G: 0.014101 Loss_D_real: -0.015805 Loss_D_fake 0.003085
[1625/5000][250/535][167738] Loss_D: -0.018710 Loss_G: 0.024253 Loss_D_real: -0.019622 Loss_D_fake -0.000912
[1625/5000][255/535][167739] Loss_D: -0.018383 Loss_G: -0.009893 Loss_D_real: 0.002861 Loss_D_fake 0.021243
[1625/5000][260/535][167740] Loss_D: -0.019604 Loss_G: 0.001023 Loss_D_real: -0.017325 Loss_D_fake 0.002279
[1625/5000][265/535][167741] Loss_D: -0.015911 Loss_G: 0.019892 Loss_D_real: -0.039785 Loss_D_fake -0.023874
[1625/5000][270/535][167742] Loss_D: -0.019131 Loss_G: -0.000990 Loss_D_real: -0.006497 Loss_D_fake 0.012633
[1625/5000][275/535][167743] Loss_D: -0.019592 Loss_G: 0.001788 Loss_D_real: -0.018637 Loss_D_fake 0.000955
[1625/5000][280/535][167744] Loss_D: -0.018413 Loss_G: 0.022323 Loss_D_real: -0.013013 Loss_D_fake 0.005399
[1625/5000][285/535][167745] Loss_D: -0.019003 Loss_G: -0.006129 Loss_D_real: -0.007903 Loss_D_fake 0.011100
[1625/5000][290/535][167746] Loss_D: -0.019030 Loss_G: 0.025491 Loss_D_real: -0.024768 Loss_D_fake -0.005738
[1625/5000][295/535][167747] Loss_D: -0.016790 Loss_G: 0.024054 Loss_D_real: -0.033185 Loss_D_fake -0.016395
[1625/5000][300/535][167748] Loss_D: -0.019642 Loss_G: -0.010391 Loss_D_real: 0.001035 Loss_D_fake 0.020677
[1625/5000][305/535][167749] Loss_D: -0.018398 Loss_G: 0.025949 Loss_D_real: -0.025365 Loss_D_fake -0.006967
[1625/5000][310/535][167750] Loss_D: -0.019960 Loss_G: 0.020432 Loss_D_real: -0.022620 Loss_D_fake -0.002661
[1625/5000][315/535][167751] Loss_D: -0.017993 Loss_G: -0.002719 Loss_D_real: -0.014850 Loss_D_fake 0.003142
[1625/5000][320/535][167752] Loss_D: -0.019058 Loss_G: -0.007252 Loss_D_real: -0.010710 Loss_D_fake 0.008347
[1625/5000][325/535][167753] Loss_D: -0.020068 Loss_G: 0.004298 Loss_D_real: -0.012001 Loss_D_fake 0.008067
[1625/5000][330/535][167754] Loss_D: -0.019357 Loss_G: -0.004430 Loss_D_real: -0.016665 Loss_D_fake 0.002691
[1625/5000][335/535][167755] Loss_D: -0.018716 Loss_G: 0.015845 Loss_D_real: -0.019590 Loss_D_fake -0.000873
[1625/5000][340/535][167756] Loss_D: -0.018483 Loss_G: 0.007390 Loss_D_real: -0.024208 Loss_D_fake -0.005725
[1625/5000][345/535][167757] Loss_D: -0.018211 Loss_G: -0.002561 Loss_D_real: -0.008529 Loss_D_fake 0.009682
[1625/5000][350/535][167758] Loss_D: -0.019287 Loss_G: 0.008831 Loss_D_real: -0.013888 Loss_D_fake 0.005399
[1625/5000][355/535][167759] Loss_D: -0.018206 Loss_G: 0.028893 Loss_D_real: -0.029573 Loss_D_fake -0.011368
[1625/5000][360/535][167760] Loss_D: -0.018542 Loss_G: 0.004625 Loss_D_real: -0.008157 Loss_D_fake 0.010385
[1625/5000][365/535][167761] Loss_D: -0.018522 Loss_G: 0.012628 Loss_D_real: -0.020199 Loss_D_fake -0.001677
[1625/5000][370/535][167762] Loss_D: -0.019206 Loss_G: 0.011396 Loss_D_real: -0.016202 Loss_D_fake 0.003004
[1625/5000][375/535][167763] Loss_D: -0.018482 Loss_G: 0.026815 Loss_D_real: -0.026390 Loss_D_fake -0.007907
[1625/5000][380/535][167764] Loss_D: -0.020921 Loss_G: -0.001704 Loss_D_real: -0.011583 Loss_D_fake 0.009338
[1625/5000][385/535][167765] Loss_D: -0.019693 Loss_G: 0.002515 Loss_D_real: -0.011429 Loss_D_fake 0.008264
[1625/5000][390/535][167766] Loss_D: -0.019537 Loss_G: 0.005180 Loss_D_real: -0.020254 Loss_D_fake -0.000718
[1625/5000][395/535][167767] Loss_D: -0.019258 Loss_G: 0.010067 Loss_D_real: -0.020180 Loss_D_fake -0.000923
[1625/5000][400/535][167768] Loss_D: -0.019351 Loss_G: -0.002573 Loss_D_real: -0.009526 Loss_D_fake 0.009825
[1625/5000][405/535][167769] Loss_D: -0.019150 Loss_G: -0.002027 Loss_D_real: -0.002490 Loss_D_fake 0.016660
[1625/5000][410/535][167770] Loss_D: -0.018549 Loss_G: 0.018259 Loss_D_real: -0.028283 Loss_D_fake -0.009733
[1625/5000][415/535][167771] Loss_D: -0.018099 Loss_G: -0.008107 Loss_D_real: -0.008409 Loss_D_fake 0.009689
[1625/5000][420/535][167772] Loss_D: -0.019624 Loss_G: -0.001758 Loss_D_real: -0.008805 Loss_D_fake 0.010819
[1625/5000][425/535][167773] Loss_D: -0.019041 Loss_G: 0.010147 Loss_D_real: -0.016133 Loss_D_fake 0.002908
[1625/5000][430/535][167774] Loss_D: -0.018593 Loss_G: 0.000912 Loss_D_real: -0.017747 Loss_D_fake 0.000846
[1625/5000][435/535][167775] Loss_D: -0.017986 Loss_G: -0.007770 Loss_D_real: -0.006324 Loss_D_fake 0.011661
[1625/5000][440/535][167776] Loss_D: -0.019185 Loss_G: 0.026380 Loss_D_real: -0.031305 Loss_D_fake -0.012119
[1625/5000][445/535][167777] Loss_D: -0.018674 Loss_G: 0.019629 Loss_D_real: -0.033388 Loss_D_fake -0.014714
[1625/5000][450/535][167778] Loss_D: -0.019903 Loss_G: 0.008216 Loss_D_real: -0.031309 Loss_D_fake -0.011406
[1625/5000][455/535][167779] Loss_D: -0.019017 Loss_G: -0.012951 Loss_D_real: -0.006487 Loss_D_fake 0.012529
[1625/5000][460/535][167780] Loss_D: -0.018966 Loss_G: 0.013803 Loss_D_real: -0.019594 Loss_D_fake -0.000628
[1625/5000][465/535][167781] Loss_D: -0.019810 Loss_G: 0.003233 Loss_D_real: -0.020989 Loss_D_fake -0.001179
[1625/5000][470/535][167782] Loss_D: -0.018496 Loss_G: 0.006239 Loss_D_real: -0.014807 Loss_D_fake 0.003689
[1625/5000][475/535][167783] Loss_D: -0.018223 Loss_G: 0.020350 Loss_D_real: -0.025002 Loss_D_fake -0.006779
[1625/5000][480/535][167784] Loss_D: -0.018443 Loss_G: 0.022658 Loss_D_real: -0.022040 Loss_D_fake -0.003596
[1625/5000][485/535][167785] Loss_D: -0.019207 Loss_G: 0.017285 Loss_D_real: -0.014259 Loss_D_fake 0.004948
[1625/5000][490/535][167786] Loss_D: -0.019454 Loss_G: 0.018619 Loss_D_real: -0.021821 Loss_D_fake -0.002367
[1625/5000][495/535][167787] Loss_D: -0.019202 Loss_G: 0.014052 Loss_D_real: -0.013480 Loss_D_fake 0.005722
[1625/5000][500/535][167788] Loss_D: -0.020028 Loss_G: 0.007006 Loss_D_real: -0.010638 Loss_D_fake 0.009390
[1625/5000][505/535][167789] Loss_D: -0.018335 Loss_G: 0.003429 Loss_D_real: -0.021452 Loss_D_fake -0.003118
[1625/5000][510/535][167790] Loss_D: -0.018049 Loss_G: 0.013336 Loss_D_real: -0.034538 Loss_D_fake -0.016490
[1625/5000][515/535][167791] Loss_D: -0.020367 Loss_G: 0.010521 Loss_D_real: -0.016081 Loss_D_fake 0.004286
[1625/5000][520/535][167792] Loss_D: -0.018192 Loss_G: 0.019350 Loss_D_real: -0.029614 Loss_D_fake -0.011422
[1625/5000][525/535][167793] Loss_D: -0.019556 Loss_G: -0.009767 Loss_D_real: -0.010228 Loss_D_fake 0.009328
[1625/5000][530/535][167794] Loss_D: -0.019355 Loss_G: 0.011252 Loss_D_real: -0.029676 Loss_D_fake -0.010321
[1625/5000][535/535][167795] Loss_D: -0.021608 Loss_G: 0.031301 Loss_D_real: -0.027415 Loss_D_fake -0.005807
[1626/5000][5/535][167796] Loss_D: -0.020823 Loss_G: 0.010964 Loss_D_real: -0.016657 Loss_D_fake 0.004166
[1626/5000][10/535][167797] Loss_D: -0.019614 Loss_G: -0.003318 Loss_D_real: -0.018338 Loss_D_fake 0.001276
[1626/5000][15/535][167798] Loss_D: -0.020841 Loss_G: 0.013338 Loss_D_real: -0.024390 Loss_D_fake -0.003549
[1626/5000][20/535][167799] Loss_D: -0.019479 Loss_G: 0.014924 Loss_D_real: -0.038826 Loss_D_fake -0.019347
[1626/5000][25/535][167800] Loss_D: -0.018057 Loss_G: 0.028086 Loss_D_real: -0.024540 Loss_D_fake -0.006483
[1626/5000][30/535][167801] Loss_D: -0.019879 Loss_G: 0.003224 Loss_D_real: -0.018576 Loss_D_fake 0.001302
[1626/5000][35/535][167802] Loss_D: -0.020589 Loss_G: 0.001124 Loss_D_real: -0.009158 Loss_D_fake 0.011430
[1626/5000][40/535][167803] Loss_D: -0.019900 Loss_G: -0.000697 Loss_D_real: 0.001170 Loss_D_fake 0.021069
[1626/5000][45/535][167804] Loss_D: -0.020122 Loss_G: -0.009211 Loss_D_real: 0.000553 Loss_D_fake 0.020675
[1626/5000][50/535][167805] Loss_D: -0.020297 Loss_G: -0.003049 Loss_D_real: -0.020943 Loss_D_fake -0.000646
[1626/5000][55/535][167806] Loss_D: -0.019667 Loss_G: 0.010799 Loss_D_real: -0.016482 Loss_D_fake 0.003185
[1626/5000][60/535][167807] Loss_D: -0.019719 Loss_G: 0.015317 Loss_D_real: -0.018842 Loss_D_fake 0.000878
[1626/5000][65/535][167808] Loss_D: -0.019668 Loss_G: 0.017187 Loss_D_real: -0.012790 Loss_D_fake 0.006878
[1626/5000][70/535][167809] Loss_D: -0.018621 Loss_G: -0.003771 Loss_D_real: -0.000832 Loss_D_fake 0.017788
[1626/5000][75/535][167810] Loss_D: -0.018070 Loss_G: 0.018724 Loss_D_real: -0.026170 Loss_D_fake -0.008099
[1626/5000][80/535][167811] Loss_D: -0.018790 Loss_G: 0.008188 Loss_D_real: -0.021299 Loss_D_fake -0.002509
[1626/5000][85/535][167812] Loss_D: -0.019011 Loss_G: -0.009723 Loss_D_real: -0.013318 Loss_D_fake 0.005693
[1626/5000][90/535][167813] Loss_D: -0.019065 Loss_G: 0.031288 Loss_D_real: -0.027397 Loss_D_fake -0.008332
[1626/5000][95/535][167814] Loss_D: -0.019068 Loss_G: -0.003450 Loss_D_real: -0.013311 Loss_D_fake 0.005757
[1626/5000][100/535][167815] Loss_D: -0.019324 Loss_G: 0.007684 Loss_D_real: -0.016480 Loss_D_fake 0.002844
[1626/5000][105/535][167816] Loss_D: -0.019134 Loss_G: 0.006159 Loss_D_real: -0.017467 Loss_D_fake 0.001667
[1626/5000][110/535][167817] Loss_D: -0.019443 Loss_G: 0.013288 Loss_D_real: -0.017498 Loss_D_fake 0.001945
[1626/5000][115/535][167818] Loss_D: -0.018713 Loss_G: 0.014126 Loss_D_real: -0.018343 Loss_D_fake 0.000370
[1626/5000][120/535][167819] Loss_D: -0.018474 Loss_G: -0.012446 Loss_D_real: 0.001065 Loss_D_fake 0.019539
[1626/5000][125/535][167820] Loss_D: -0.018476 Loss_G: 0.003698 Loss_D_real: -0.025261 Loss_D_fake -0.006785
[1626/5000][130/535][167821] Loss_D: -0.020128 Loss_G: 0.018773 Loss_D_real: -0.015080 Loss_D_fake 0.005048
[1626/5000][135/535][167822] Loss_D: -0.019052 Loss_G: 0.001071 Loss_D_real: -0.006322 Loss_D_fake 0.012730
[1626/5000][140/535][167823] Loss_D: -0.019517 Loss_G: 0.020532 Loss_D_real: -0.022436 Loss_D_fake -0.002920
[1626/5000][145/535][167824] Loss_D: -0.017005 Loss_G: -0.004959 Loss_D_real: -0.007538 Loss_D_fake 0.009467
[1626/5000][150/535][167825] Loss_D: -0.019281 Loss_G: 0.004487 Loss_D_real: -0.019929 Loss_D_fake -0.000647
[1626/5000][155/535][167826] Loss_D: -0.017743 Loss_G: -0.003132 Loss_D_real: -0.010379 Loss_D_fake 0.007364
[1626/5000][160/535][167827] Loss_D: -0.019607 Loss_G: 0.007037 Loss_D_real: -0.018578 Loss_D_fake 0.001029
[1626/5000][165/535][167828] Loss_D: -0.019245 Loss_G: 0.003048 Loss_D_real: -0.014503 Loss_D_fake 0.004742
[1626/5000][170/535][167829] Loss_D: -0.018360 Loss_G: 0.026627 Loss_D_real: -0.019743 Loss_D_fake -0.001383
[1626/5000][175/535][167830] Loss_D: -0.018824 Loss_G: 0.001060 Loss_D_real: -0.024194 Loss_D_fake -0.005370
[1626/5000][180/535][167831] Loss_D: -0.017880 Loss_G: -0.016487 Loss_D_real: 0.001393 Loss_D_fake 0.019272
[1626/5000][185/535][167832] Loss_D: -0.017935 Loss_G: 0.017775 Loss_D_real: -0.028455 Loss_D_fake -0.010520
[1626/5000][190/535][167833] Loss_D: -0.019755 Loss_G: 0.004031 Loss_D_real: -0.005698 Loss_D_fake 0.014057
[1626/5000][195/535][167834] Loss_D: -0.019104 Loss_G: 0.009182 Loss_D_real: -0.014249 Loss_D_fake 0.004854
[1626/5000][200/535][167835] Loss_D: -0.019548 Loss_G: -0.003739 Loss_D_real: -0.003448 Loss_D_fake 0.016099
[1626/5000][205/535][167836] Loss_D: -0.019545 Loss_G: 0.021168 Loss_D_real: -0.030337 Loss_D_fake -0.010792
[1626/5000][210/535][167837] Loss_D: -0.018629 Loss_G: 0.004437 Loss_D_real: -0.027717 Loss_D_fake -0.009088
[1626/5000][215/535][167838] Loss_D: -0.020414 Loss_G: 0.002757 Loss_D_real: -0.019084 Loss_D_fake 0.001330
[1626/5000][220/535][167839] Loss_D: -0.018097 Loss_G: 0.000272 Loss_D_real: -0.004979 Loss_D_fake 0.013118
[1626/5000][225/535][167840] Loss_D: -0.018342 Loss_G: -0.014617 Loss_D_real: -0.018708 Loss_D_fake -0.000366
[1626/5000][230/535][167841] Loss_D: -0.019223 Loss_G: 0.008326 Loss_D_real: -0.013153 Loss_D_fake 0.006070
[1626/5000][235/535][167842] Loss_D: -0.018674 Loss_G: 0.023217 Loss_D_real: -0.033274 Loss_D_fake -0.014600
[1626/5000][240/535][167843] Loss_D: -0.019019 Loss_G: -0.002284 Loss_D_real: -0.004379 Loss_D_fake 0.014640
[1626/5000][245/535][167844] Loss_D: -0.019729 Loss_G: 0.015994 Loss_D_real: -0.020660 Loss_D_fake -0.000931
[1626/5000][250/535][167845] Loss_D: -0.019264 Loss_G: 0.011105 Loss_D_real: -0.023584 Loss_D_fake -0.004320
[1626/5000][255/535][167846] Loss_D: -0.019661 Loss_G: -0.007071 Loss_D_real: -0.010204 Loss_D_fake 0.009457
[1626/5000][260/535][167847] Loss_D: -0.019345 Loss_G: 0.005118 Loss_D_real: -0.013332 Loss_D_fake 0.006013
[1626/5000][265/535][167848] Loss_D: -0.019009 Loss_G: 0.026777 Loss_D_real: -0.016077 Loss_D_fake 0.002932
[1626/5000][270/535][167849] Loss_D: -0.018586 Loss_G: -0.016566 Loss_D_real: 0.003067 Loss_D_fake 0.021652
[1626/5000][275/535][167850] Loss_D: -0.017406 Loss_G: 0.006351 Loss_D_real: -0.013806 Loss_D_fake 0.003600
[1626/5000][280/535][167851] Loss_D: -0.019910 Loss_G: 0.013821 Loss_D_real: -0.015729 Loss_D_fake 0.004181
[1626/5000][285/535][167852] Loss_D: -0.018822 Loss_G: 0.011625 Loss_D_real: -0.024190 Loss_D_fake -0.005368
[1626/5000][290/535][167853] Loss_D: -0.017664 Loss_G: -0.015144 Loss_D_real: -0.004854 Loss_D_fake 0.012810
[1626/5000][295/535][167854] Loss_D: -0.018141 Loss_G: 0.012137 Loss_D_real: -0.030444 Loss_D_fake -0.012302
[1626/5000][300/535][167855] Loss_D: -0.018311 Loss_G: -0.000479 Loss_D_real: -0.008743 Loss_D_fake 0.009568
[1626/5000][305/535][167856] Loss_D: -0.018402 Loss_G: 0.008088 Loss_D_real: -0.024325 Loss_D_fake -0.005924
[1626/5000][310/535][167857] Loss_D: -0.019680 Loss_G: 0.021048 Loss_D_real: -0.023181 Loss_D_fake -0.003501
[1626/5000][315/535][167858] Loss_D: -0.018789 Loss_G: -0.023247 Loss_D_real: -0.001695 Loss_D_fake 0.017094
[1626/5000][320/535][167859] Loss_D: -0.017527 Loss_G: 0.026294 Loss_D_real: -0.017423 Loss_D_fake 0.000104
[1626/5000][325/535][167860] Loss_D: -0.017938 Loss_G: 0.008667 Loss_D_real: -0.022412 Loss_D_fake -0.004475
[1626/5000][330/535][167861] Loss_D: -0.019818 Loss_G: 0.017169 Loss_D_real: -0.019575 Loss_D_fake 0.000243
[1626/5000][335/535][167862] Loss_D: -0.018423 Loss_G: -0.004398 Loss_D_real: -0.007764 Loss_D_fake 0.010659
[1626/5000][340/535][167863] Loss_D: -0.017815 Loss_G: -0.025089 Loss_D_real: 0.011178 Loss_D_fake 0.028993
[1626/5000][345/535][167864] Loss_D: -0.019378 Loss_G: 0.016509 Loss_D_real: -0.007498 Loss_D_fake 0.011879
[1626/5000][350/535][167865] Loss_D: -0.018854 Loss_G: -0.011031 Loss_D_real: -0.004065 Loss_D_fake 0.014788
[1626/5000][355/535][167866] Loss_D: -0.019258 Loss_G: -0.010834 Loss_D_real: -0.007904 Loss_D_fake 0.011354
[1626/5000][360/535][167867] Loss_D: -0.019495 Loss_G: 0.028692 Loss_D_real: -0.020581 Loss_D_fake -0.001086
[1626/5000][365/535][167868] Loss_D: -0.019315 Loss_G: -0.005816 Loss_D_real: -0.012994 Loss_D_fake 0.006320
[1626/5000][370/535][167869] Loss_D: -0.019798 Loss_G: 0.011547 Loss_D_real: -0.017409 Loss_D_fake 0.002389
[1626/5000][375/535][167870] Loss_D: -0.020795 Loss_G: 0.019647 Loss_D_real: -0.010201 Loss_D_fake 0.010594
[1626/5000][380/535][167871] Loss_D: -0.018754 Loss_G: 0.017035 Loss_D_real: -0.016969 Loss_D_fake 0.001785
[1626/5000][385/535][167872] Loss_D: -0.020492 Loss_G: -0.002144 Loss_D_real: -0.003083 Loss_D_fake 0.017409
[1626/5000][390/535][167873] Loss_D: -0.019421 Loss_G: 0.010522 Loss_D_real: -0.010250 Loss_D_fake 0.009171
[1626/5000][395/535][167874] Loss_D: -0.020162 Loss_G: 0.004785 Loss_D_real: -0.014533 Loss_D_fake 0.005629
[1626/5000][400/535][167875] Loss_D: -0.019748 Loss_G: 0.009826 Loss_D_real: -0.027550 Loss_D_fake -0.007802
[1626/5000][405/535][167876] Loss_D: -0.021251 Loss_G: -0.001495 Loss_D_real: -0.019126 Loss_D_fake 0.002125
[1626/5000][410/535][167877] Loss_D: -0.019481 Loss_G: 0.009460 Loss_D_real: -0.010315 Loss_D_fake 0.009166
[1626/5000][415/535][167878] Loss_D: -0.019517 Loss_G: 0.018423 Loss_D_real: -0.016774 Loss_D_fake 0.002743
[1626/5000][420/535][167879] Loss_D: -0.020496 Loss_G: 0.004054 Loss_D_real: -0.018218 Loss_D_fake 0.002278
[1626/5000][425/535][167880] Loss_D: -0.020564 Loss_G: 0.019562 Loss_D_real: -0.016105 Loss_D_fake 0.004459
[1626/5000][430/535][167881] Loss_D: -0.018405 Loss_G: 0.016672 Loss_D_real: -0.020775 Loss_D_fake -0.002370
[1626/5000][435/535][167882] Loss_D: -0.019442 Loss_G: 0.012567 Loss_D_real: -0.014624 Loss_D_fake 0.004818
[1626/5000][440/535][167883] Loss_D: -0.021006 Loss_G: -0.005833 Loss_D_real: -0.012908 Loss_D_fake 0.008098
[1626/5000][445/535][167884] Loss_D: -0.019266 Loss_G: -0.003956 Loss_D_real: -0.006487 Loss_D_fake 0.012779
[1626/5000][450/535][167885] Loss_D: -0.019498 Loss_G: 0.007278 Loss_D_real: -0.022711 Loss_D_fake -0.003212
[1626/5000][455/535][167886] Loss_D: -0.018984 Loss_G: -0.004372 Loss_D_real: -0.008712 Loss_D_fake 0.010273
[1626/5000][460/535][167887] Loss_D: -0.019061 Loss_G: -0.006339 Loss_D_real: -0.012171 Loss_D_fake 0.006890
[1626/5000][465/535][167888] Loss_D: -0.018729 Loss_G: 0.019612 Loss_D_real: -0.023656 Loss_D_fake -0.004927
[1626/5000][470/535][167889] Loss_D: -0.018819 Loss_G: -0.004962 Loss_D_real: 0.001109 Loss_D_fake 0.019928
[1626/5000][475/535][167890] Loss_D: -0.019423 Loss_G: 0.002261 Loss_D_real: -0.013742 Loss_D_fake 0.005681
[1626/5000][480/535][167891] Loss_D: -0.020166 Loss_G: 0.008290 Loss_D_real: -0.016624 Loss_D_fake 0.003542
[1626/5000][485/535][167892] Loss_D: -0.019068 Loss_G: 0.017755 Loss_D_real: -0.005852 Loss_D_fake 0.013216
[1626/5000][490/535][167893] Loss_D: -0.019132 Loss_G: 0.011175 Loss_D_real: -0.011863 Loss_D_fake 0.007269
[1626/5000][495/535][167894] Loss_D: -0.019614 Loss_G: -0.012287 Loss_D_real: -0.009262 Loss_D_fake 0.010352
[1626/5000][500/535][167895] Loss_D: -0.019409 Loss_G: 0.018548 Loss_D_real: -0.017759 Loss_D_fake 0.001650
[1626/5000][505/535][167896] Loss_D: -0.018832 Loss_G: -0.004115 Loss_D_real: -0.005842 Loss_D_fake 0.012991
[1626/5000][510/535][167897] Loss_D: -0.019984 Loss_G: 0.006824 Loss_D_real: -0.014190 Loss_D_fake 0.005795
[1626/5000][515/535][167898] Loss_D: -0.019203 Loss_G: 0.001713 Loss_D_real: -0.016678 Loss_D_fake 0.002525
[1626/5000][520/535][167899] Loss_D: -0.018147 Loss_G: 0.019248 Loss_D_real: -0.029877 Loss_D_fake -0.011731
[1626/5000][525/535][167900] Loss_D: -0.018964 Loss_G: -0.005188 Loss_D_real: -0.017274 Loss_D_fake 0.001690
[1626/5000][530/535][167901] Loss_D: -0.019094 Loss_G: 0.012570 Loss_D_real: -0.020768 Loss_D_fake -0.001674
[1626/5000][535/535][167902] Loss_D: -0.018228 Loss_G: 0.000730 Loss_D_real: -0.004623 Loss_D_fake 0.013605
[1627/5000][5/535][167903] Loss_D: -0.019601 Loss_G: 0.010979 Loss_D_real: -0.012174 Loss_D_fake 0.007427
[1627/5000][10/535][167904] Loss_D: -0.019718 Loss_G: 0.006203 Loss_D_real: -0.008012 Loss_D_fake 0.011706
[1627/5000][15/535][167905] Loss_D: -0.018347 Loss_G: -0.013543 Loss_D_real: 0.002287 Loss_D_fake 0.020634
[1627/5000][20/535][167906] Loss_D: -0.019944 Loss_G: 0.004160 Loss_D_real: -0.020589 Loss_D_fake -0.000645
[1627/5000][25/535][167907] Loss_D: -0.017744 Loss_G: 0.006692 Loss_D_real: -0.014799 Loss_D_fake 0.002944
[1627/5000][30/535][167908] Loss_D: -0.018911 Loss_G: -0.000982 Loss_D_real: -0.008911 Loss_D_fake 0.010000
[1627/5000][35/535][167909] Loss_D: -0.018543 Loss_G: 0.022178 Loss_D_real: -0.017150 Loss_D_fake 0.001394
[1627/5000][40/535][167910] Loss_D: -0.018820 Loss_G: -0.014338 Loss_D_real: -0.005061 Loss_D_fake 0.013758
[1627/5000][45/535][167911] Loss_D: -0.019091 Loss_G: 0.013388 Loss_D_real: -0.017222 Loss_D_fake 0.001869
[1627/5000][50/535][167912] Loss_D: -0.017233 Loss_G: 0.030690 Loss_D_real: -0.024585 Loss_D_fake -0.007351
[1627/5000][55/535][167913] Loss_D: -0.019866 Loss_G: 0.004081 Loss_D_real: -0.019304 Loss_D_fake 0.000562
[1627/5000][60/535][167914] Loss_D: -0.019030 Loss_G: -0.010657 Loss_D_real: -0.004704 Loss_D_fake 0.014325
[1627/5000][65/535][167915] Loss_D: -0.020114 Loss_G: 0.016961 Loss_D_real: -0.014381 Loss_D_fake 0.005733
[1627/5000][70/535][167916] Loss_D: -0.018441 Loss_G: 0.007568 Loss_D_real: -0.020637 Loss_D_fake -0.002196
[1627/5000][75/535][167917] Loss_D: -0.019802 Loss_G: 0.007363 Loss_D_real: -0.029688 Loss_D_fake -0.009886
[1627/5000][80/535][167918] Loss_D: -0.019556 Loss_G: 0.015520 Loss_D_real: -0.019285 Loss_D_fake 0.000272
[1627/5000][85/535][167919] Loss_D: -0.018606 Loss_G: -0.005178 Loss_D_real: -0.017661 Loss_D_fake 0.000945
[1627/5000][90/535][167920] Loss_D: -0.020621 Loss_G: -0.000412 Loss_D_real: -0.002552 Loss_D_fake 0.018069
[1627/5000][95/535][167921] Loss_D: -0.016995 Loss_G: -0.019323 Loss_D_real: -0.005252 Loss_D_fake 0.011743
[1627/5000][100/535][167922] Loss_D: -0.017904 Loss_G: 0.008524 Loss_D_real: -0.015520 Loss_D_fake 0.002384
[1627/5000][105/535][167923] Loss_D: -0.019930 Loss_G: -0.004347 Loss_D_real: -0.000610 Loss_D_fake 0.019320
[1627/5000][110/535][167924] Loss_D: -0.018904 Loss_G: 0.000258 Loss_D_real: -0.010680 Loss_D_fake 0.008224
[1627/5000][115/535][167925] Loss_D: -0.019296 Loss_G: 0.006339 Loss_D_real: 0.000270 Loss_D_fake 0.019566
[1627/5000][120/535][167926] Loss_D: -0.019520 Loss_G: 0.010782 Loss_D_real: -0.027098 Loss_D_fake -0.007577
[1627/5000][125/535][167927] Loss_D: -0.020632 Loss_G: 0.007767 Loss_D_real: -0.021297 Loss_D_fake -0.000665
[1627/5000][130/535][167928] Loss_D: -0.018100 Loss_G: 0.008822 Loss_D_real: -0.024633 Loss_D_fake -0.006534
[1627/5000][135/535][167929] Loss_D: -0.020379 Loss_G: 0.011545 Loss_D_real: -0.020559 Loss_D_fake -0.000180
[1627/5000][140/535][167930] Loss_D: -0.020865 Loss_G: -0.010882 Loss_D_real: -0.011485 Loss_D_fake 0.009380
[1627/5000][145/535][167931] Loss_D: -0.019161 Loss_G: 0.012111 Loss_D_real: -0.011638 Loss_D_fake 0.007523
[1627/5000][150/535][167932] Loss_D: -0.018595 Loss_G: 0.000190 Loss_D_real: -0.002886 Loss_D_fake 0.015708
[1627/5000][155/535][167933] Loss_D: -0.019738 Loss_G: 0.015059 Loss_D_real: -0.021422 Loss_D_fake -0.001684
[1627/5000][160/535][167934] Loss_D: -0.019011 Loss_G: 0.011040 Loss_D_real: -0.013739 Loss_D_fake 0.005271
[1627/5000][165/535][167935] Loss_D: -0.018925 Loss_G: 0.012962 Loss_D_real: -0.029270 Loss_D_fake -0.010345
[1627/5000][170/535][167936] Loss_D: -0.017914 Loss_G: 0.025592 Loss_D_real: -0.029701 Loss_D_fake -0.011788
[1627/5000][175/535][167937] Loss_D: -0.019360 Loss_G: -0.007622 Loss_D_real: -0.005517 Loss_D_fake 0.013843
[1627/5000][180/535][167938] Loss_D: -0.018541 Loss_G: -0.009943 Loss_D_real: -0.007142 Loss_D_fake 0.011400
[1627/5000][185/535][167939] Loss_D: -0.018584 Loss_G: 0.014344 Loss_D_real: -0.029597 Loss_D_fake -0.011013
[1627/5000][190/535][167940] Loss_D: -0.018998 Loss_G: 0.004785 Loss_D_real: -0.023115 Loss_D_fake -0.004118
[1627/5000][195/535][167941] Loss_D: -0.018733 Loss_G: 0.001772 Loss_D_real: -0.017891 Loss_D_fake 0.000842
[1627/5000][200/535][167942] Loss_D: -0.020063 Loss_G: 0.013644 Loss_D_real: -0.012188 Loss_D_fake 0.007876
[1627/5000][205/535][167943] Loss_D: -0.018274 Loss_G: 0.002115 Loss_D_real: -0.013627 Loss_D_fake 0.004647
[1627/5000][210/535][167944] Loss_D: -0.018599 Loss_G: 0.023172 Loss_D_real: -0.013241 Loss_D_fake 0.005359
[1627/5000][215/535][167945] Loss_D: -0.018644 Loss_G: -0.015983 Loss_D_real: -0.003898 Loss_D_fake 0.014746
[1627/5000][220/535][167946] Loss_D: -0.018805 Loss_G: 0.018772 Loss_D_real: -0.012470 Loss_D_fake 0.006335
[1627/5000][225/535][167947] Loss_D: -0.018335 Loss_G: 0.003438 Loss_D_real: -0.015281 Loss_D_fake 0.003054
[1627/5000][230/535][167948] Loss_D: -0.019709 Loss_G: 0.006699 Loss_D_real: -0.011772 Loss_D_fake 0.007937
[1627/5000][235/535][167949] Loss_D: -0.019414 Loss_G: 0.017834 Loss_D_real: -0.024204 Loss_D_fake -0.004790
[1627/5000][240/535][167950] Loss_D: -0.020083 Loss_G: 0.001179 Loss_D_real: -0.001372 Loss_D_fake 0.018712
[1627/5000][245/535][167951] Loss_D: -0.019933 Loss_G: 0.007224 Loss_D_real: -0.015143 Loss_D_fake 0.004790
[1627/5000][250/535][167952] Loss_D: -0.019156 Loss_G: 0.015578 Loss_D_real: -0.019707 Loss_D_fake -0.000551
[1627/5000][255/535][167953] Loss_D: -0.019504 Loss_G: 0.010610 Loss_D_real: -0.009875 Loss_D_fake 0.009629
[1627/5000][260/535][167954] Loss_D: -0.020279 Loss_G: 0.015323 Loss_D_real: -0.032397 Loss_D_fake -0.012118
[1627/5000][265/535][167955] Loss_D: -0.018735 Loss_G: 0.007899 Loss_D_real: -0.016830 Loss_D_fake 0.001905
[1627/5000][270/535][167956] Loss_D: -0.019283 Loss_G: 0.016237 Loss_D_real: -0.028073 Loss_D_fake -0.008790
[1627/5000][275/535][167957] Loss_D: -0.019370 Loss_G: -0.008005 Loss_D_real: -0.012993 Loss_D_fake 0.006377
[1627/5000][280/535][167958] Loss_D: -0.019660 Loss_G: 0.003987 Loss_D_real: -0.017893 Loss_D_fake 0.001767
[1627/5000][285/535][167959] Loss_D: -0.017775 Loss_G: 0.004794 Loss_D_real: -0.017211 Loss_D_fake 0.000564
[1627/5000][290/535][167960] Loss_D: -0.019505 Loss_G: 0.024606 Loss_D_real: -0.024124 Loss_D_fake -0.004619
[1627/5000][295/535][167961] Loss_D: -0.019271 Loss_G: -0.005024 Loss_D_real: -0.008903 Loss_D_fake 0.010368
[1627/5000][300/535][167962] Loss_D: -0.019885 Loss_G: -0.005530 Loss_D_real: -0.009820 Loss_D_fake 0.010065
[1627/5000][305/535][167963] Loss_D: -0.019941 Loss_G: -0.000505 Loss_D_real: -0.007526 Loss_D_fake 0.012416
[1627/5000][310/535][167964] Loss_D: -0.020429 Loss_G: 0.011911 Loss_D_real: -0.009880 Loss_D_fake 0.010549
[1627/5000][315/535][167965] Loss_D: -0.019804 Loss_G: 0.012276 Loss_D_real: -0.019919 Loss_D_fake -0.000115
[1627/5000][320/535][167966] Loss_D: -0.019419 Loss_G: 0.004448 Loss_D_real: -0.015219 Loss_D_fake 0.004200
[1627/5000][325/535][167967] Loss_D: -0.019047 Loss_G: 0.017641 Loss_D_real: -0.020794 Loss_D_fake -0.001746
[1627/5000][330/535][167968] Loss_D: -0.017392 Loss_G: 0.034265 Loss_D_real: -0.037510 Loss_D_fake -0.020118
[1627/5000][335/535][167969] Loss_D: -0.020658 Loss_G: -0.015491 Loss_D_real: -0.013912 Loss_D_fake 0.006746
[1627/5000][340/535][167970] Loss_D: -0.019992 Loss_G: 0.001839 Loss_D_real: -0.011859 Loss_D_fake 0.008133
[1627/5000][345/535][167971] Loss_D: -0.019039 Loss_G: 0.025721 Loss_D_real: -0.016457 Loss_D_fake 0.002582
[1627/5000][350/535][167972] Loss_D: -0.017850 Loss_G: -0.008335 Loss_D_real: -0.007886 Loss_D_fake 0.009964
[1627/5000][355/535][167973] Loss_D: -0.019518 Loss_G: 0.033245 Loss_D_real: -0.017466 Loss_D_fake 0.002052
[1627/5000][360/535][167974] Loss_D: -0.020095 Loss_G: 0.009995 Loss_D_real: -0.021209 Loss_D_fake -0.001113
[1627/5000][365/535][167975] Loss_D: -0.019308 Loss_G: -0.004740 Loss_D_real: 0.000945 Loss_D_fake 0.020253
[1627/5000][370/535][167976] Loss_D: -0.018524 Loss_G: -0.003226 Loss_D_real: -0.013407 Loss_D_fake 0.005117
[1627/5000][375/535][167977] Loss_D: -0.019142 Loss_G: 0.012744 Loss_D_real: -0.004031 Loss_D_fake 0.015111
[1627/5000][380/535][167978] Loss_D: -0.018556 Loss_G: -0.011946 Loss_D_real: -0.003930 Loss_D_fake 0.014627
[1627/5000][385/535][167979] Loss_D: -0.019416 Loss_G: 0.010250 Loss_D_real: -0.018351 Loss_D_fake 0.001065
[1627/5000][390/535][167980] Loss_D: -0.019892 Loss_G: -0.007903 Loss_D_real: -0.008091 Loss_D_fake 0.011801
[1627/5000][395/535][167981] Loss_D: -0.018797 Loss_G: 0.010591 Loss_D_real: 0.006190 Loss_D_fake 0.024987
[1627/5000][400/535][167982] Loss_D: -0.018074 Loss_G: 0.018305 Loss_D_real: -0.008720 Loss_D_fake 0.009354
[1627/5000][405/535][167983] Loss_D: -0.022229 Loss_G: -0.000756 Loss_D_real: -0.025761 Loss_D_fake -0.003532
[1627/5000][410/535][167984] Loss_D: -0.018184 Loss_G: 0.007123 Loss_D_real: -0.020188 Loss_D_fake -0.002004
[1627/5000][415/535][167985] Loss_D: -0.017698 Loss_G: 0.018939 Loss_D_real: -0.021907 Loss_D_fake -0.004209
[1627/5000][420/535][167986] Loss_D: -0.018347 Loss_G: 0.027423 Loss_D_real: -0.033015 Loss_D_fake -0.014669
[1627/5000][425/535][167987] Loss_D: -0.018810 Loss_G: 0.024996 Loss_D_real: -0.015888 Loss_D_fake 0.002922
[1627/5000][430/535][167988] Loss_D: -0.017610 Loss_G: 0.010930 Loss_D_real: -0.012073 Loss_D_fake 0.005537
[1627/5000][435/535][167989] Loss_D: -0.018114 Loss_G: 0.021002 Loss_D_real: -0.022913 Loss_D_fake -0.004799
[1627/5000][440/535][167990] Loss_D: -0.019880 Loss_G: 0.001776 Loss_D_real: -0.022375 Loss_D_fake -0.002495
[1627/5000][445/535][167991] Loss_D: -0.018563 Loss_G: 0.008077 Loss_D_real: -0.013582 Loss_D_fake 0.004982
[1627/5000][450/535][167992] Loss_D: -0.018518 Loss_G: 0.000568 Loss_D_real: -0.013985 Loss_D_fake 0.004533
[1627/5000][455/535][167993] Loss_D: -0.018133 Loss_G: -0.002241 Loss_D_real: -0.016868 Loss_D_fake 0.001265
[1627/5000][460/535][167994] Loss_D: -0.019238 Loss_G: 0.010821 Loss_D_real: -0.013974 Loss_D_fake 0.005264
[1627/5000][465/535][167995] Loss_D: -0.018659 Loss_G: 0.011764 Loss_D_real: -0.011998 Loss_D_fake 0.006662
[1627/5000][470/535][167996] Loss_D: -0.018594 Loss_G: 0.013374 Loss_D_real: -0.026741 Loss_D_fake -0.008147
[1627/5000][475/535][167997] Loss_D: -0.020804 Loss_G: 0.001364 Loss_D_real: -0.014438 Loss_D_fake 0.006366
[1627/5000][480/535][167998] Loss_D: -0.020503 Loss_G: 0.021727 Loss_D_real: -0.012377 Loss_D_fake 0.008126
[1627/5000][485/535][167999] Loss_D: -0.018855 Loss_G: 0.019195 Loss_D_real: -0.027310 Loss_D_fake -0.008455
[1627/5000][490/535][168000] Loss_D: -0.020293 Loss_G: 0.015416 Loss_D_real: -0.018791 Loss_D_fake 0.001502
[1627/5000][535/535][168001] Loss_D: -0.021127 Loss_G: 0.024794 Loss_D_real: -0.015782 Loss_D_fake 0.005345
[1628/5000][5/535][168002] Loss_D: -0.021217 Loss_G: 0.011099 Loss_D_real: -0.019010 Loss_D_fake 0.002207
[1628/5000][10/535][168003] Loss_D: -0.018481 Loss_G: 0.002566 Loss_D_real: -0.011109 Loss_D_fake 0.007371
[1628/5000][15/535][168004] Loss_D: -0.019232 Loss_G: 0.006550 Loss_D_real: -0.019581 Loss_D_fake -0.000350
[1628/5000][20/535][168005] Loss_D: -0.019242 Loss_G: 0.017549 Loss_D_real: -0.033777 Loss_D_fake -0.014535
[1628/5000][25/535][168006] Loss_D: -0.019470 Loss_G: -0.001517 Loss_D_real: -0.010779 Loss_D_fake 0.008691
[1628/5000][30/535][168007] Loss_D: -0.019141 Loss_G: 0.004415 Loss_D_real: -0.005833 Loss_D_fake 0.013308
[1628/5000][35/535][168008] Loss_D: -0.019187 Loss_G: 0.018080 Loss_D_real: -0.033977 Loss_D_fake -0.014790
[1628/5000][40/535][168009] Loss_D: -0.018815 Loss_G: -0.000927 Loss_D_real: -0.003478 Loss_D_fake 0.015337
[1628/5000][45/535][168010] Loss_D: -0.019403 Loss_G: 0.014777 Loss_D_real: -0.017421 Loss_D_fake 0.001982
[1628/5000][50/535][168011] Loss_D: -0.019910 Loss_G: -0.002056 Loss_D_real: -0.025948 Loss_D_fake -0.006038
[1628/5000][55/535][168012] Loss_D: -0.018410 Loss_G: 0.014934 Loss_D_real: -0.027536 Loss_D_fake -0.009126
[1628/5000][60/535][168013] Loss_D: -0.021482 Loss_G: 0.005249 Loss_D_real: -0.000509 Loss_D_fake 0.020972
[1628/5000][65/535][168014] Loss_D: -0.019970 Loss_G: 0.013770 Loss_D_real: -0.026104 Loss_D_fake -0.006134
[1628/5000][70/535][168015] Loss_D: -0.018021 Loss_G: 0.012221 Loss_D_real: -0.030079 Loss_D_fake -0.012057
[1628/5000][75/535][168016] Loss_D: -0.018329 Loss_G: -0.005258 Loss_D_real: 0.007106 Loss_D_fake 0.025435
[1628/5000][80/535][168017] Loss_D: -0.019854 Loss_G: -0.018978 Loss_D_real: -0.004731 Loss_D_fake 0.015123
[1628/5000][85/535][168018] Loss_D: -0.018626 Loss_G: 0.006237 Loss_D_real: -0.016725 Loss_D_fake 0.001901
[1628/5000][90/535][168019] Loss_D: -0.017889 Loss_G: -0.008571 Loss_D_real: -0.006241 Loss_D_fake 0.011648
[1628/5000][95/535][168020] Loss_D: -0.018820 Loss_G: 0.000717 Loss_D_real: -0.014776 Loss_D_fake 0.004044
[1628/5000][100/535][168021] Loss_D: -0.018655 Loss_G: 0.006168 Loss_D_real: -0.000488 Loss_D_fake 0.018167
[1628/5000][105/535][168022] Loss_D: -0.018392 Loss_G: 0.005977 Loss_D_real: -0.003823 Loss_D_fake 0.014569
[1628/5000][110/535][168023] Loss_D: -0.018922 Loss_G: 0.010722 Loss_D_real: -0.014534 Loss_D_fake 0.004389
[1628/5000][115/535][168024] Loss_D: -0.019235 Loss_G: 0.004666 Loss_D_real: -0.016585 Loss_D_fake 0.002650
[1628/5000][120/535][168025] Loss_D: -0.021559 Loss_G: 0.011728 Loss_D_real: -0.014898 Loss_D_fake 0.006661
[1628/5000][125/535][168026] Loss_D: -0.020711 Loss_G: 0.004775 Loss_D_real: -0.024030 Loss_D_fake -0.003320
[1628/5000][130/535][168027] Loss_D: -0.019456 Loss_G: 0.005978 Loss_D_real: -0.003864 Loss_D_fake 0.015592
[1628/5000][135/535][168028] Loss_D: -0.019360 Loss_G: 0.001310 Loss_D_real: -0.004238 Loss_D_fake 0.015122
[1628/5000][140/535][168029] Loss_D: -0.018132 Loss_G: 0.023255 Loss_D_real: -0.037053 Loss_D_fake -0.018921
[1628/5000][145/535][168030] Loss_D: -0.019627 Loss_G: 0.009725 Loss_D_real: -0.016451 Loss_D_fake 0.003176
[1628/5000][150/535][168031] Loss_D: -0.019304 Loss_G: 0.012011 Loss_D_real: -0.011957 Loss_D_fake 0.007347
[1628/5000][155/535][168032] Loss_D: -0.018860 Loss_G: -0.003542 Loss_D_real: -0.001697 Loss_D_fake 0.017163
[1628/5000][160/535][168033] Loss_D: -0.018107 Loss_G: 0.001530 Loss_D_real: -0.012513 Loss_D_fake 0.005593
[1628/5000][165/535][168034] Loss_D: -0.018832 Loss_G: -0.001842 Loss_D_real: -0.003195 Loss_D_fake 0.015637
[1628/5000][170/535][168035] Loss_D: -0.018045 Loss_G: -0.011885 Loss_D_real: -0.002108 Loss_D_fake 0.015937
[1628/5000][175/535][168036] Loss_D: -0.019689 Loss_G: 0.005569 Loss_D_real: -0.012714 Loss_D_fake 0.006975
[1628/5000][180/535][168037] Loss_D: -0.019597 Loss_G: -0.007122 Loss_D_real: -0.007149 Loss_D_fake 0.012448
[1628/5000][185/535][168038] Loss_D: -0.019402 Loss_G: 0.021562 Loss_D_real: -0.025283 Loss_D_fake -0.005881
[1628/5000][190/535][168039] Loss_D: -0.019326 Loss_G: 0.010529 Loss_D_real: -0.027215 Loss_D_fake -0.007888
[1628/5000][195/535][168040] Loss_D: -0.019332 Loss_G: -0.006802 Loss_D_real: -0.005633 Loss_D_fake 0.013699
[1628/5000][200/535][168041] Loss_D: -0.018418 Loss_G: -0.001843 Loss_D_real: -0.002822 Loss_D_fake 0.015596
[1628/5000][205/535][168042] Loss_D: -0.019129 Loss_G: 0.016121 Loss_D_real: -0.019623 Loss_D_fake -0.000494
[1628/5000][210/535][168043] Loss_D: -0.019628 Loss_G: 0.010725 Loss_D_real: -0.011748 Loss_D_fake 0.007880
[1628/5000][215/535][168044] Loss_D: -0.018839 Loss_G: -0.006845 Loss_D_real: -0.026075 Loss_D_fake -0.007236
[1628/5000][220/535][168045] Loss_D: -0.020429 Loss_G: 0.005327 Loss_D_real: -0.025264 Loss_D_fake -0.004835
[1628/5000][225/535][168046] Loss_D: -0.020151 Loss_G: 0.009773 Loss_D_real: -0.012640 Loss_D_fake 0.007511
[1628/5000][230/535][168047] Loss_D: -0.020293 Loss_G: 0.014673 Loss_D_real: -0.017496 Loss_D_fake 0.002797
[1628/5000][235/535][168048] Loss_D: -0.019184 Loss_G: 0.016913 Loss_D_real: -0.014090 Loss_D_fake 0.005093
[1628/5000][240/535][168049] Loss_D: -0.019760 Loss_G: 0.006291 Loss_D_real: -0.023245 Loss_D_fake -0.003484
[1628/5000][245/535][168050] Loss_D: -0.018609 Loss_G: -0.010285 Loss_D_real: -0.006131 Loss_D_fake 0.012478
[1628/5000][250/535][168051] Loss_D: -0.018803 Loss_G: -0.010273 Loss_D_real: -0.013286 Loss_D_fake 0.005517
[1628/5000][255/535][168052] Loss_D: -0.018764 Loss_G: 0.015320 Loss_D_real: -0.015587 Loss_D_fake 0.003176
[1628/5000][260/535][168053] Loss_D: -0.019035 Loss_G: 0.010863 Loss_D_real: -0.011514 Loss_D_fake 0.007521
[1628/5000][265/535][168054] Loss_D: -0.020261 Loss_G: -0.004135 Loss_D_real: -0.011247 Loss_D_fake 0.009013
[1628/5000][270/535][168055] Loss_D: -0.018376 Loss_G: 0.033657 Loss_D_real: -0.029705 Loss_D_fake -0.011328
[1628/5000][275/535][168056] Loss_D: -0.019768 Loss_G: -0.008583 Loss_D_real: -0.014330 Loss_D_fake 0.005438
[1628/5000][280/535][168057] Loss_D: -0.018372 Loss_G: -0.001604 Loss_D_real: -0.021421 Loss_D_fake -0.003049
[1628/5000][285/535][168058] Loss_D: -0.019705 Loss_G: 0.001674 Loss_D_real: -0.009468 Loss_D_fake 0.010237
[1628/5000][290/535][168059] Loss_D: -0.019274 Loss_G: 0.002486 Loss_D_real: 0.003678 Loss_D_fake 0.022952
[1628/5000][295/535][168060] Loss_D: -0.019081 Loss_G: 0.013330 Loss_D_real: -0.021989 Loss_D_fake -0.002908
[1628/5000][300/535][168061] Loss_D: -0.017568 Loss_G: 0.012638 Loss_D_real: -0.016580 Loss_D_fake 0.000988
[1628/5000][305/535][168062] Loss_D: -0.019001 Loss_G: 0.018663 Loss_D_real: -0.019150 Loss_D_fake -0.000149
[1628/5000][310/535][168063] Loss_D: -0.019156 Loss_G: 0.003706 Loss_D_real: -0.013959 Loss_D_fake 0.005196
[1628/5000][315/535][168064] Loss_D: -0.018752 Loss_G: 0.024052 Loss_D_real: -0.026993 Loss_D_fake -0.008241
[1628/5000][320/535][168065] Loss_D: -0.019680 Loss_G: 0.004066 Loss_D_real: -0.008053 Loss_D_fake 0.011627
[1628/5000][325/535][168066] Loss_D: -0.018472 Loss_G: -0.013714 Loss_D_real: -0.003263 Loss_D_fake 0.015209
[1628/5000][330/535][168067] Loss_D: -0.018873 Loss_G: 0.009078 Loss_D_real: -0.021188 Loss_D_fake -0.002315
[1628/5000][335/535][168068] Loss_D: -0.018248 Loss_G: 0.000095 Loss_D_real: -0.000291 Loss_D_fake 0.017957
[1628/5000][340/535][168069] Loss_D: -0.016838 Loss_G: -0.014050 Loss_D_real: -0.002536 Loss_D_fake 0.014302
[1628/5000][345/535][168070] Loss_D: -0.019632 Loss_G: 0.016358 Loss_D_real: -0.023694 Loss_D_fake -0.004062
[1628/5000][350/535][168071] Loss_D: -0.017604 Loss_G: 0.021882 Loss_D_real: -0.027557 Loss_D_fake -0.009952
[1628/5000][355/535][168072] Loss_D: -0.020068 Loss_G: 0.006179 Loss_D_real: -0.013072 Loss_D_fake 0.006996
[1628/5000][360/535][168073] Loss_D: -0.019686 Loss_G: 0.007154 Loss_D_real: -0.009953 Loss_D_fake 0.009733
[1628/5000][365/535][168074] Loss_D: -0.019927 Loss_G: 0.021075 Loss_D_real: -0.027026 Loss_D_fake -0.007099
[1628/5000][370/535][168075] Loss_D: -0.019271 Loss_G: -0.004920 Loss_D_real: -0.011957 Loss_D_fake 0.007314
[1628/5000][375/535][168076] Loss_D: -0.019478 Loss_G: 0.011949 Loss_D_real: -0.019479 Loss_D_fake -0.000002
[1628/5000][380/535][168077] Loss_D: -0.018957 Loss_G: -0.010496 Loss_D_real: -0.003623 Loss_D_fake 0.015334
[1628/5000][385/535][168078] Loss_D: -0.018496 Loss_G: 0.008533 Loss_D_real: -0.014909 Loss_D_fake 0.003587
[1628/5000][390/535][168079] Loss_D: -0.017584 Loss_G: -0.008946 Loss_D_real: -0.014224 Loss_D_fake 0.003360
[1628/5000][395/535][168080] Loss_D: -0.018537 Loss_G: 0.004599 Loss_D_real: -0.014371 Loss_D_fake 0.004167
[1628/5000][400/535][168081] Loss_D: -0.017846 Loss_G: 0.009176 Loss_D_real: -0.020991 Loss_D_fake -0.003145
[1628/5000][405/535][168082] Loss_D: -0.019561 Loss_G: 0.012206 Loss_D_real: -0.024574 Loss_D_fake -0.005012
[1628/5000][410/535][168083] Loss_D: -0.019032 Loss_G: 0.015240 Loss_D_real: -0.021731 Loss_D_fake -0.002700
[1628/5000][415/535][168084] Loss_D: -0.019994 Loss_G: 0.006934 Loss_D_real: -0.016212 Loss_D_fake 0.003782
[1628/5000][420/535][168085] Loss_D: -0.018803 Loss_G: 0.018200 Loss_D_real: -0.010985 Loss_D_fake 0.007818
[1628/5000][425/535][168086] Loss_D: -0.019280 Loss_G: -0.000681 Loss_D_real: -0.027086 Loss_D_fake -0.007806
[1628/5000][430/535][168087] Loss_D: -0.019662 Loss_G: -0.005780 Loss_D_real: -0.009802 Loss_D_fake 0.009860
[1628/5000][435/535][168088] Loss_D: -0.017284 Loss_G: 0.012501 Loss_D_real: -0.024617 Loss_D_fake -0.007332
[1628/5000][440/535][168089] Loss_D: -0.017834 Loss_G: 0.023619 Loss_D_real: -0.023995 Loss_D_fake -0.006161
[1628/5000][445/535][168090] Loss_D: -0.019109 Loss_G: 0.014020 Loss_D_real: -0.017762 Loss_D_fake 0.001347
[1628/5000][450/535][168091] Loss_D: -0.020271 Loss_G: 0.016741 Loss_D_real: -0.016401 Loss_D_fake 0.003870
[1628/5000][455/535][168092] Loss_D: -0.018655 Loss_G: 0.008790 Loss_D_real: -0.016413 Loss_D_fake 0.002242
[1628/5000][460/535][168093] Loss_D: -0.018971 Loss_G: -0.006906 Loss_D_real: -0.003241 Loss_D_fake 0.015730
[1628/5000][465/535][168094] Loss_D: -0.019618 Loss_G: 0.022510 Loss_D_real: -0.027004 Loss_D_fake -0.007385
[1628/5000][470/535][168095] Loss_D: -0.019789 Loss_G: 0.017240 Loss_D_real: -0.026733 Loss_D_fake -0.006944
[1628/5000][475/535][168096] Loss_D: -0.018553 Loss_G: -0.000405 Loss_D_real: -0.001491 Loss_D_fake 0.017062
[1628/5000][480/535][168097] Loss_D: -0.018973 Loss_G: 0.007970 Loss_D_real: -0.017189 Loss_D_fake 0.001784
[1628/5000][485/535][168098] Loss_D: -0.019594 Loss_G: 0.015200 Loss_D_real: -0.027273 Loss_D_fake -0.007679
[1628/5000][490/535][168099] Loss_D: -0.018902 Loss_G: 0.011962 Loss_D_real: -0.022509 Loss_D_fake -0.003607
[1628/5000][495/535][168100] Loss_D: -0.018979 Loss_G: -0.000006 Loss_D_real: -0.022870 Loss_D_fake -0.003890
[1628/5000][500/535][168101] Loss_D: -0.018971 Loss_G: 0.008278 Loss_D_real: -0.008315 Loss_D_fake 0.010656
[1628/5000][505/535][168102] Loss_D: -0.019074 Loss_G: 0.016749 Loss_D_real: -0.017679 Loss_D_fake 0.001395
[1628/5000][510/535][168103] Loss_D: -0.018176 Loss_G: 0.007389 Loss_D_real: -0.023077 Loss_D_fake -0.004902
[1628/5000][515/535][168104] Loss_D: -0.019119 Loss_G: 0.017726 Loss_D_real: -0.019794 Loss_D_fake -0.000675
[1628/5000][520/535][168105] Loss_D: -0.019769 Loss_G: -0.004329 Loss_D_real: -0.010760 Loss_D_fake 0.009008
[1628/5000][525/535][168106] Loss_D: -0.018915 Loss_G: 0.020362 Loss_D_real: -0.019872 Loss_D_fake -0.000958
[1628/5000][530/535][168107] Loss_D: -0.019042 Loss_G: 0.010493 Loss_D_real: -0.025763 Loss_D_fake -0.006721
[1628/5000][535/535][168108] Loss_D: -0.019764 Loss_G: -0.002910 Loss_D_real: -0.022146 Loss_D_fake -0.002382
[1629/5000][5/535][168109] Loss_D: -0.020257 Loss_G: 0.013401 Loss_D_real: -0.017889 Loss_D_fake 0.002368
[1629/5000][10/535][168110] Loss_D: -0.019267 Loss_G: 0.011521 Loss_D_real: -0.027312 Loss_D_fake -0.008046
[1629/5000][15/535][168111] Loss_D: -0.021036 Loss_G: 0.016969 Loss_D_real: -0.008748 Loss_D_fake 0.012287
[1629/5000][20/535][168112] Loss_D: -0.018392 Loss_G: 0.000415 Loss_D_real: -0.004173 Loss_D_fake 0.014218
[1629/5000][25/535][168113] Loss_D: -0.018555 Loss_G: -0.006339 Loss_D_real: -0.005657 Loss_D_fake 0.012898
[1629/5000][30/535][168114] Loss_D: -0.018055 Loss_G: -0.012997 Loss_D_real: -0.003921 Loss_D_fake 0.014134
[1629/5000][35/535][168115] Loss_D: -0.018368 Loss_G: 0.014909 Loss_D_real: -0.028934 Loss_D_fake -0.010565
[1629/5000][40/535][168116] Loss_D: -0.018409 Loss_G: 0.011760 Loss_D_real: -0.010262 Loss_D_fake 0.008147
[1629/5000][45/535][168117] Loss_D: -0.018397 Loss_G: -0.012964 Loss_D_real: -0.000275 Loss_D_fake 0.018122
[1629/5000][50/535][168118] Loss_D: -0.018595 Loss_G: 0.001136 Loss_D_real: -0.016789 Loss_D_fake 0.001807
[1629/5000][55/535][168119] Loss_D: -0.020221 Loss_G: 0.014483 Loss_D_real: -0.017740 Loss_D_fake 0.002481
[1629/5000][60/535][168120] Loss_D: -0.019554 Loss_G: 0.014571 Loss_D_real: -0.006760 Loss_D_fake 0.012795
[1629/5000][65/535][168121] Loss_D: -0.017935 Loss_G: -0.012039 Loss_D_real: 0.002480 Loss_D_fake 0.020415
[1629/5000][70/535][168122] Loss_D: -0.018171 Loss_G: -0.000398 Loss_D_real: 0.000428 Loss_D_fake 0.018598
[1629/5000][75/535][168123] Loss_D: -0.018802 Loss_G: 0.008352 Loss_D_real: -0.014908 Loss_D_fake 0.003893
[1629/5000][80/535][168124] Loss_D: -0.019089 Loss_G: -0.007457 Loss_D_real: -0.002977 Loss_D_fake 0.016112
[1629/5000][85/535][168125] Loss_D: -0.020055 Loss_G: 0.002432 Loss_D_real: -0.010740 Loss_D_fake 0.009314
[1629/5000][90/535][168126] Loss_D: -0.018382 Loss_G: 0.010557 Loss_D_real: -0.009415 Loss_D_fake 0.008967
[1629/5000][95/535][168127] Loss_D: -0.020274 Loss_G: 0.002102 Loss_D_real: -0.010377 Loss_D_fake 0.009897
[1629/5000][100/535][168128] Loss_D: -0.018672 Loss_G: -0.008159 Loss_D_real: -0.002936 Loss_D_fake 0.015735
[1629/5000][105/535][168129] Loss_D: -0.020057 Loss_G: -0.004246 Loss_D_real: -0.011567 Loss_D_fake 0.008491
[1629/5000][110/535][168130] Loss_D: -0.018182 Loss_G: 0.015133 Loss_D_real: -0.032376 Loss_D_fake -0.014194
[1629/5000][115/535][168131] Loss_D: -0.017953 Loss_G: -0.010306 Loss_D_real: 0.000288 Loss_D_fake 0.018241
[1629/5000][120/535][168132] Loss_D: -0.017084 Loss_G: -0.004406 Loss_D_real: -0.016118 Loss_D_fake 0.000966
[1629/5000][125/535][168133] Loss_D: -0.019107 Loss_G: 0.003358 Loss_D_real: -0.007869 Loss_D_fake 0.011238
[1629/5000][130/535][168134] Loss_D: -0.017685 Loss_G: -0.006354 Loss_D_real: -0.007900 Loss_D_fake 0.009785
[1629/5000][135/535][168135] Loss_D: -0.016348 Loss_G: -0.002674 Loss_D_real: -0.011891 Loss_D_fake 0.004458
[1629/5000][140/535][168136] Loss_D: -0.019163 Loss_G: 0.007349 Loss_D_real: -0.005012 Loss_D_fake 0.014150
[1629/5000][145/535][168137] Loss_D: -0.017682 Loss_G: 0.012357 Loss_D_real: -0.024577 Loss_D_fake -0.006895
[1629/5000][150/535][168138] Loss_D: -0.019624 Loss_G: 0.004085 Loss_D_real: -0.016159 Loss_D_fake 0.003466
[1629/5000][155/535][168139] Loss_D: -0.020490 Loss_G: -0.010312 Loss_D_real: -0.009855 Loss_D_fake 0.010635
[1629/5000][160/535][168140] Loss_D: -0.018678 Loss_G: 0.015546 Loss_D_real: -0.015004 Loss_D_fake 0.003674
[1629/5000][165/535][168141] Loss_D: -0.018330 Loss_G: -0.013655 Loss_D_real: 0.000565 Loss_D_fake 0.018895
[1629/5000][170/535][168142] Loss_D: -0.018950 Loss_G: 0.023670 Loss_D_real: -0.023806 Loss_D_fake -0.004856
[1629/5000][175/535][168143] Loss_D: -0.020205 Loss_G: 0.004186 Loss_D_real: -0.020775 Loss_D_fake -0.000570
[1629/5000][180/535][168144] Loss_D: -0.020536 Loss_G: 0.018581 Loss_D_real: -0.027685 Loss_D_fake -0.007149
[1629/5000][185/535][168145] Loss_D: -0.020220 Loss_G: 0.019210 Loss_D_real: -0.014003 Loss_D_fake 0.006217
[1629/5000][190/535][168146] Loss_D: -0.019774 Loss_G: -0.005067 Loss_D_real: -0.012477 Loss_D_fake 0.007298
[1629/5000][195/535][168147] Loss_D: -0.018632 Loss_G: 0.003096 Loss_D_real: -0.010560 Loss_D_fake 0.008072
[1629/5000][200/535][168148] Loss_D: -0.018745 Loss_G: 0.014686 Loss_D_real: -0.008313 Loss_D_fake 0.010432
[1629/5000][205/535][168149] Loss_D: -0.018818 Loss_G: 0.011798 Loss_D_real: -0.005317 Loss_D_fake 0.013500
[1629/5000][210/535][168150] Loss_D: -0.018276 Loss_G: 0.000458 Loss_D_real: -0.011291 Loss_D_fake 0.006984
[1629/5000][215/535][168151] Loss_D: -0.020278 Loss_G: 0.008824 Loss_D_real: -0.021639 Loss_D_fake -0.001362
[1629/5000][220/535][168152] Loss_D: -0.018735 Loss_G: -0.005727 Loss_D_real: -0.019033 Loss_D_fake -0.000298
[1629/5000][225/535][168153] Loss_D: -0.018462 Loss_G: -0.000182 Loss_D_real: -0.016201 Loss_D_fake 0.002260
[1629/5000][230/535][168154] Loss_D: -0.018712 Loss_G: 0.024457 Loss_D_real: -0.023864 Loss_D_fake -0.005151
[1629/5000][235/535][168155] Loss_D: -0.018866 Loss_G: 0.013698 Loss_D_real: -0.028750 Loss_D_fake -0.009884
[1629/5000][240/535][168156] Loss_D: -0.019437 Loss_G: 0.015368 Loss_D_real: -0.025356 Loss_D_fake -0.005919
[1629/5000][245/535][168157] Loss_D: -0.019415 Loss_G: 0.012486 Loss_D_real: -0.015560 Loss_D_fake 0.003854
[1629/5000][250/535][168158] Loss_D: -0.019968 Loss_G: 0.010857 Loss_D_real: -0.020266 Loss_D_fake -0.000298
[1629/5000][255/535][168159] Loss_D: -0.020302 Loss_G: 0.016889 Loss_D_real: -0.019052 Loss_D_fake 0.001250
[1629/5000][260/535][168160] Loss_D: -0.018939 Loss_G: 0.003452 Loss_D_real: -0.006979 Loss_D_fake 0.011960
[1629/5000][265/535][168161] Loss_D: -0.020544 Loss_G: 0.001218 Loss_D_real: -0.018572 Loss_D_fake 0.001972
[1629/5000][270/535][168162] Loss_D: -0.020201 Loss_G: 0.022370 Loss_D_real: -0.026582 Loss_D_fake -0.006380
[1629/5000][275/535][168163] Loss_D: -0.020261 Loss_G: 0.007520 Loss_D_real: -0.018987 Loss_D_fake 0.001273
[1629/5000][280/535][168164] Loss_D: -0.019544 Loss_G: -0.001467 Loss_D_real: -0.020328 Loss_D_fake -0.000785
[1629/5000][285/535][168165] Loss_D: -0.019747 Loss_G: 0.016260 Loss_D_real: -0.033311 Loss_D_fake -0.013564
[1629/5000][290/535][168166] Loss_D: -0.019367 Loss_G: -0.005823 Loss_D_real: -0.013886 Loss_D_fake 0.005480
[1629/5000][295/535][168167] Loss_D: -0.019773 Loss_G: 0.007895 Loss_D_real: -0.019320 Loss_D_fake 0.000453
[1629/5000][300/535][168168] Loss_D: -0.016676 Loss_G: 0.032070 Loss_D_real: -0.025928 Loss_D_fake -0.009252
[1629/5000][305/535][168169] Loss_D: -0.018024 Loss_G: -0.001447 Loss_D_real: -0.004112 Loss_D_fake 0.013912
[1629/5000][310/535][168170] Loss_D: -0.017812 Loss_G: -0.011740 Loss_D_real: 0.006733 Loss_D_fake 0.024545
[1629/5000][315/535][168171] Loss_D: -0.018401 Loss_G: 0.017064 Loss_D_real: -0.023035 Loss_D_fake -0.004635
[1629/5000][320/535][168172] Loss_D: -0.019399 Loss_G: 0.021948 Loss_D_real: -0.028257 Loss_D_fake -0.008857
[1629/5000][325/535][168173] Loss_D: -0.019161 Loss_G: 0.009593 Loss_D_real: -0.031281 Loss_D_fake -0.012120
[1629/5000][330/535][168174] Loss_D: -0.018431 Loss_G: 0.002640 Loss_D_real: -0.010955 Loss_D_fake 0.007476
[1629/5000][335/535][168175] Loss_D: -0.020278 Loss_G: 0.010322 Loss_D_real: -0.022503 Loss_D_fake -0.002225
[1629/5000][340/535][168176] Loss_D: -0.018819 Loss_G: 0.010023 Loss_D_real: -0.021033 Loss_D_fake -0.002213
[1629/5000][345/535][168177] Loss_D: -0.017679 Loss_G: 0.000740 Loss_D_real: -0.007983 Loss_D_fake 0.009696
[1629/5000][350/535][168178] Loss_D: -0.018075 Loss_G: 0.022553 Loss_D_real: -0.026030 Loss_D_fake -0.007954
[1629/5000][355/535][168179] Loss_D: -0.018820 Loss_G: 0.000404 Loss_D_real: -0.017369 Loss_D_fake 0.001451
[1629/5000][360/535][168180] Loss_D: -0.019943 Loss_G: 0.013423 Loss_D_real: -0.017427 Loss_D_fake 0.002516
[1629/5000][365/535][168181] Loss_D: -0.019365 Loss_G: 0.005683 Loss_D_real: -0.022320 Loss_D_fake -0.002955
[1629/5000][370/535][168182] Loss_D: -0.020017 Loss_G: 0.000572 Loss_D_real: -0.021748 Loss_D_fake -0.001730
[1629/5000][375/535][168183] Loss_D: -0.019239 Loss_G: 0.011844 Loss_D_real: -0.029452 Loss_D_fake -0.010213
[1629/5000][380/535][168184] Loss_D: -0.018537 Loss_G: 0.015797 Loss_D_real: -0.019481 Loss_D_fake -0.000944
[1629/5000][385/535][168185] Loss_D: -0.018976 Loss_G: 0.007446 Loss_D_real: 0.006406 Loss_D_fake 0.025382
[1629/5000][390/535][168186] Loss_D: -0.019653 Loss_G: 0.014569 Loss_D_real: -0.025551 Loss_D_fake -0.005898
[1629/5000][395/535][168187] Loss_D: -0.018827 Loss_G: -0.010970 Loss_D_real: -0.009905 Loss_D_fake 0.008922
[1629/5000][400/535][168188] Loss_D: -0.019845 Loss_G: 0.015841 Loss_D_real: -0.024150 Loss_D_fake -0.004305
[1629/5000][405/535][168189] Loss_D: -0.019095 Loss_G: -0.004077 Loss_D_real: -0.006085 Loss_D_fake 0.013010
[1629/5000][410/535][168190] Loss_D: -0.020043 Loss_G: 0.005587 Loss_D_real: -0.016396 Loss_D_fake 0.003648
[1629/5000][415/535][168191] Loss_D: -0.018729 Loss_G: 0.015435 Loss_D_real: -0.020919 Loss_D_fake -0.002190
[1629/5000][420/535][168192] Loss_D: -0.018945 Loss_G: 0.008223 Loss_D_real: -0.015771 Loss_D_fake 0.003174
[1629/5000][425/535][168193] Loss_D: -0.019608 Loss_G: 0.008873 Loss_D_real: -0.010735 Loss_D_fake 0.008873
[1629/5000][430/535][168194] Loss_D: -0.018634 Loss_G: 0.003307 Loss_D_real: -0.020209 Loss_D_fake -0.001575
[1629/5000][435/535][168195] Loss_D: -0.018405 Loss_G: 0.022079 Loss_D_real: -0.021364 Loss_D_fake -0.002960
[1629/5000][440/535][168196] Loss_D: -0.019353 Loss_G: 0.008488 Loss_D_real: -0.013738 Loss_D_fake 0.005615
[1629/5000][445/535][168197] Loss_D: -0.019351 Loss_G: 0.016816 Loss_D_real: -0.028935 Loss_D_fake -0.009585
[1629/5000][450/535][168198] Loss_D: -0.020648 Loss_G: 0.000625 Loss_D_real: -0.017969 Loss_D_fake 0.002679
[1629/5000][455/535][168199] Loss_D: -0.019448 Loss_G: 0.012707 Loss_D_real: -0.016983 Loss_D_fake 0.002465
[1629/5000][460/535][168200] Loss_D: -0.020371 Loss_G: 0.016008 Loss_D_real: -0.035803 Loss_D_fake -0.015433
[1629/5000][465/535][168201] Loss_D: -0.020165 Loss_G: -0.012340 Loss_D_real: -0.011503 Loss_D_fake 0.008661
[1629/5000][470/535][168202] Loss_D: -0.020254 Loss_G: 0.006242 Loss_D_real: -0.018587 Loss_D_fake 0.001667
[1629/5000][475/535][168203] Loss_D: -0.020139 Loss_G: 0.024168 Loss_D_real: -0.022286 Loss_D_fake -0.002147
[1629/5000][480/535][168204] Loss_D: -0.021286 Loss_G: 0.000607 Loss_D_real: -0.015617 Loss_D_fake 0.005669
[1629/5000][485/535][168205] Loss_D: -0.021260 Loss_G: 0.018507 Loss_D_real: -0.017273 Loss_D_fake 0.003987
[1629/5000][490/535][168206] Loss_D: -0.018353 Loss_G: -0.015575 Loss_D_real: 0.000468 Loss_D_fake 0.018821
[1629/5000][495/535][168207] Loss_D: -0.017080 Loss_G: -0.004046 Loss_D_real: 0.002951 Loss_D_fake 0.020031
[1629/5000][500/535][168208] Loss_D: -0.019450 Loss_G: -0.002369 Loss_D_real: -0.016025 Loss_D_fake 0.003425
[1629/5000][505/535][168209] Loss_D: -0.018928 Loss_G: 0.011502 Loss_D_real: -0.008746 Loss_D_fake 0.010181
[1629/5000][510/535][168210] Loss_D: -0.017899 Loss_G: -0.007137 Loss_D_real: -0.006839 Loss_D_fake 0.011061
[1629/5000][515/535][168211] Loss_D: -0.019237 Loss_G: 0.005782 Loss_D_real: -0.012820 Loss_D_fake 0.006417
[1629/5000][520/535][168212] Loss_D: -0.018489 Loss_G: 0.008624 Loss_D_real: -0.012038 Loss_D_fake 0.006451
[1629/5000][525/535][168213] Loss_D: -0.016467 Loss_G: 0.025775 Loss_D_real: -0.033958 Loss_D_fake -0.017491
[1629/5000][530/535][168214] Loss_D: -0.018383 Loss_G: -0.003234 Loss_D_real: -0.005904 Loss_D_fake 0.012479
[1629/5000][535/535][168215] Loss_D: -0.021051 Loss_G: 0.031944 Loss_D_real: -0.025528 Loss_D_fake -0.004477
[1630/5000][5/535][168216] Loss_D: -0.019697 Loss_G: 0.013659 Loss_D_real: -0.015378 Loss_D_fake 0.004319
[1630/5000][10/535][168217] Loss_D: -0.019235 Loss_G: -0.003344 Loss_D_real: -0.017159 Loss_D_fake 0.002077
[1630/5000][15/535][168218] Loss_D: -0.019598 Loss_G: 0.005066 Loss_D_real: -0.012831 Loss_D_fake 0.006767
[1630/5000][20/535][168219] Loss_D: -0.019694 Loss_G: -0.010159 Loss_D_real: 0.009820 Loss_D_fake 0.029515
[1630/5000][25/535][168220] Loss_D: -0.018505 Loss_G: -0.002867 Loss_D_real: -0.004204 Loss_D_fake 0.014301
[1630/5000][30/535][168221] Loss_D: -0.019503 Loss_G: 0.012723 Loss_D_real: -0.020457 Loss_D_fake -0.000954
[1630/5000][35/535][168222] Loss_D: -0.018180 Loss_G: -0.004722 Loss_D_real: -0.007003 Loss_D_fake 0.011177
[1630/5000][40/535][168223] Loss_D: -0.018647 Loss_G: 0.002781 Loss_D_real: -0.014055 Loss_D_fake 0.004593
[1630/5000][45/535][168224] Loss_D: -0.019064 Loss_G: 0.009821 Loss_D_real: -0.017118 Loss_D_fake 0.001947
[1630/5000][50/535][168225] Loss_D: -0.019062 Loss_G: -0.005968 Loss_D_real: -0.011421 Loss_D_fake 0.007642
[1630/5000][55/535][168226] Loss_D: -0.017004 Loss_G: 0.013504 Loss_D_real: -0.017997 Loss_D_fake -0.000993
[1630/5000][60/535][168227] Loss_D: -0.019772 Loss_G: 0.012126 Loss_D_real: -0.013988 Loss_D_fake 0.005785
[1630/5000][65/535][168228] Loss_D: -0.017782 Loss_G: 0.019625 Loss_D_real: -0.033381 Loss_D_fake -0.015599
[1630/5000][70/535][168229] Loss_D: -0.019575 Loss_G: 0.014454 Loss_D_real: -0.020682 Loss_D_fake -0.001107
[1630/5000][75/535][168230] Loss_D: -0.020209 Loss_G: 0.003000 Loss_D_real: -0.020603 Loss_D_fake -0.000394
[1630/5000][80/535][168231] Loss_D: -0.019061 Loss_G: 0.010066 Loss_D_real: -0.036145 Loss_D_fake -0.017084
[1630/5000][85/535][168232] Loss_D: -0.018706 Loss_G: 0.001595 Loss_D_real: -0.010539 Loss_D_fake 0.008167
[1630/5000][90/535][168233] Loss_D: -0.019059 Loss_G: 0.008774 Loss_D_real: -0.010968 Loss_D_fake 0.008090
[1630/5000][95/535][168234] Loss_D: -0.019317 Loss_G: -0.004454 Loss_D_real: -0.014267 Loss_D_fake 0.005050
[1630/5000][100/535][168235] Loss_D: -0.019348 Loss_G: 0.004698 Loss_D_real: -0.012117 Loss_D_fake 0.007231
[1630/5000][105/535][168236] Loss_D: -0.019379 Loss_G: -0.000467 Loss_D_real: -0.003102 Loss_D_fake 0.016277
[1630/5000][110/535][168237] Loss_D: -0.019632 Loss_G: 0.012065 Loss_D_real: -0.013155 Loss_D_fake 0.006477
[1630/5000][115/535][168238] Loss_D: -0.018071 Loss_G: 0.006441 Loss_D_real: -0.020365 Loss_D_fake -0.002294
[1630/5000][120/535][168239] Loss_D: -0.020332 Loss_G: 0.013313 Loss_D_real: -0.019152 Loss_D_fake 0.001180
[1630/5000][125/535][168240] Loss_D: -0.019251 Loss_G: 0.021496 Loss_D_real: -0.019200 Loss_D_fake 0.000051
[1630/5000][130/535][168241] Loss_D: -0.019801 Loss_G: 0.005804 Loss_D_real: -0.023654 Loss_D_fake -0.003853
[1630/5000][135/535][168242] Loss_D: -0.019429 Loss_G: 0.011334 Loss_D_real: -0.026170 Loss_D_fake -0.006741
[1630/5000][140/535][168243] Loss_D: -0.019612 Loss_G: 0.028378 Loss_D_real: -0.014956 Loss_D_fake 0.004656
[1630/5000][145/535][168244] Loss_D: -0.019653 Loss_G: 0.009447 Loss_D_real: -0.023973 Loss_D_fake -0.004320
[1630/5000][150/535][168245] Loss_D: -0.019464 Loss_G: -0.006265 Loss_D_real: -0.007052 Loss_D_fake 0.012412
[1630/5000][155/535][168246] Loss_D: -0.019461 Loss_G: 0.026361 Loss_D_real: -0.013841 Loss_D_fake 0.005620
[1630/5000][160/535][168247] Loss_D: -0.018389 Loss_G: -0.015566 Loss_D_real: -0.002423 Loss_D_fake 0.015966
[1630/5000][165/535][168248] Loss_D: -0.019204 Loss_G: -0.005527 Loss_D_real: -0.026921 Loss_D_fake -0.007717
[1630/5000][170/535][168249] Loss_D: -0.020289 Loss_G: 0.010471 Loss_D_real: -0.014062 Loss_D_fake 0.006227
[1630/5000][175/535][168250] Loss_D: -0.020067 Loss_G: 0.007335 Loss_D_real: -0.029034 Loss_D_fake -0.008967
[1630/5000][180/535][168251] Loss_D: -0.019691 Loss_G: -0.012904 Loss_D_real: -0.001040 Loss_D_fake 0.018651
[1630/5000][185/535][168252] Loss_D: -0.018577 Loss_G: 0.009321 Loss_D_real: -0.023797 Loss_D_fake -0.005220
[1630/5000][190/535][168253] Loss_D: -0.018706 Loss_G: 0.012710 Loss_D_real: -0.009632 Loss_D_fake 0.009073
[1630/5000][195/535][168254] Loss_D: -0.019187 Loss_G: 0.007330 Loss_D_real: -0.009100 Loss_D_fake 0.010087
[1630/5000][200/535][168255] Loss_D: -0.018511 Loss_G: 0.014686 Loss_D_real: -0.020976 Loss_D_fake -0.002465
[1630/5000][205/535][168256] Loss_D: -0.018121 Loss_G: 0.022952 Loss_D_real: -0.022240 Loss_D_fake -0.004118
[1630/5000][210/535][168257] Loss_D: -0.019736 Loss_G: 0.005580 Loss_D_real: -0.018155 Loss_D_fake 0.001581
[1630/5000][215/535][168258] Loss_D: -0.017941 Loss_G: 0.028431 Loss_D_real: -0.030440 Loss_D_fake -0.012499
[1630/5000][220/535][168259] Loss_D: -0.019626 Loss_G: 0.003000 Loss_D_real: -0.024795 Loss_D_fake -0.005170
[1630/5000][225/535][168260] Loss_D: -0.019787 Loss_G: 0.011448 Loss_D_real: -0.027931 Loss_D_fake -0.008144
[1630/5000][230/535][168261] Loss_D: -0.020054 Loss_G: 0.009571 Loss_D_real: -0.009775 Loss_D_fake 0.010279
[1630/5000][235/535][168262] Loss_D: -0.018047 Loss_G: 0.005514 Loss_D_real: -0.015336 Loss_D_fake 0.002710
[1630/5000][240/535][168263] Loss_D: -0.019163 Loss_G: -0.011140 Loss_D_real: -0.016824 Loss_D_fake 0.002339
[1630/5000][245/535][168264] Loss_D: -0.018860 Loss_G: 0.020894 Loss_D_real: -0.031615 Loss_D_fake -0.012755
[1630/5000][250/535][168265] Loss_D: -0.019066 Loss_G: -0.001953 Loss_D_real: -0.024132 Loss_D_fake -0.005066
[1630/5000][255/535][168266] Loss_D: -0.019427 Loss_G: 0.002588 Loss_D_real: -0.005352 Loss_D_fake 0.014075
[1630/5000][260/535][168267] Loss_D: -0.019706 Loss_G: -0.002081 Loss_D_real: -0.011271 Loss_D_fake 0.008435
[1630/5000][265/535][168268] Loss_D: -0.018112 Loss_G: 0.028492 Loss_D_real: -0.021177 Loss_D_fake -0.003064
[1630/5000][270/535][168269] Loss_D: -0.017355 Loss_G: 0.003793 Loss_D_real: -0.009329 Loss_D_fake 0.008026
[1630/5000][275/535][168270] Loss_D: -0.018242 Loss_G: 0.000204 Loss_D_real: -0.008659 Loss_D_fake 0.009582
[1630/5000][280/535][168271] Loss_D: -0.019696 Loss_G: -0.006363 Loss_D_real: -0.016171 Loss_D_fake 0.003525
[1630/5000][285/535][168272] Loss_D: -0.019566 Loss_G: -0.001763 Loss_D_real: -0.018351 Loss_D_fake 0.001215
[1630/5000][290/535][168273] Loss_D: -0.017746 Loss_G: 0.017976 Loss_D_real: -0.027744 Loss_D_fake -0.009997
[1630/5000][295/535][168274] Loss_D: -0.019769 Loss_G: 0.019088 Loss_D_real: -0.012938 Loss_D_fake 0.006831
[1630/5000][300/535][168275] Loss_D: -0.017913 Loss_G: -0.008499 Loss_D_real: -0.002318 Loss_D_fake 0.015595
[1630/5000][305/535][168276] Loss_D: -0.018931 Loss_G: 0.009485 Loss_D_real: -0.008406 Loss_D_fake 0.010524
[1630/5000][310/535][168277] Loss_D: -0.019153 Loss_G: 0.014313 Loss_D_real: -0.022319 Loss_D_fake -0.003165
[1630/5000][315/535][168278] Loss_D: -0.016747 Loss_G: -0.015363 Loss_D_real: 0.000358 Loss_D_fake 0.017106
[1630/5000][320/535][168279] Loss_D: -0.018866 Loss_G: 0.003096 Loss_D_real: -0.013164 Loss_D_fake 0.005702
[1630/5000][325/535][168280] Loss_D: -0.019660 Loss_G: 0.018667 Loss_D_real: -0.012656 Loss_D_fake 0.007005
[1630/5000][330/535][168281] Loss_D: -0.019232 Loss_G: 0.011058 Loss_D_real: -0.020216 Loss_D_fake -0.000983
[1630/5000][335/535][168282] Loss_D: -0.018785 Loss_G: 0.007985 Loss_D_real: -0.025033 Loss_D_fake -0.006248
[1630/5000][340/535][168283] Loss_D: -0.020319 Loss_G: 0.005184 Loss_D_real: -0.019746 Loss_D_fake 0.000574
[1630/5000][345/535][168284] Loss_D: -0.020782 Loss_G: -0.000249 Loss_D_real: 0.000437 Loss_D_fake 0.021219
[1630/5000][350/535][168285] Loss_D: -0.018880 Loss_G: 0.009966 Loss_D_real: -0.012261 Loss_D_fake 0.006619
[1630/5000][355/535][168286] Loss_D: -0.019792 Loss_G: 0.019051 Loss_D_real: -0.038414 Loss_D_fake -0.018622
[1630/5000][360/535][168287] Loss_D: -0.019280 Loss_G: 0.011691 Loss_D_real: -0.024339 Loss_D_fake -0.005060
[1630/5000][365/535][168288] Loss_D: -0.020267 Loss_G: 0.006678 Loss_D_real: -0.019118 Loss_D_fake 0.001150
[1630/5000][370/535][168289] Loss_D: -0.020639 Loss_G: 0.010043 Loss_D_real: -0.017341 Loss_D_fake 0.003298
[1630/5000][375/535][168290] Loss_D: -0.018166 Loss_G: 0.021735 Loss_D_real: -0.029595 Loss_D_fake -0.011430
[1630/5000][380/535][168291] Loss_D: -0.018786 Loss_G: 0.005437 Loss_D_real: -0.010843 Loss_D_fake 0.007943
[1630/5000][385/535][168292] Loss_D: -0.020543 Loss_G: 0.001781 Loss_D_real: -0.021984 Loss_D_fake -0.001441
[1630/5000][390/535][168293] Loss_D: -0.019309 Loss_G: 0.009817 Loss_D_real: -0.018951 Loss_D_fake 0.000358
[1630/5000][395/535][168294] Loss_D: -0.018422 Loss_G: 0.007464 Loss_D_real: -0.020579 Loss_D_fake -0.002157
[1630/5000][400/535][168295] Loss_D: -0.019330 Loss_G: -0.009210 Loss_D_real: -0.003336 Loss_D_fake 0.015994
[1630/5000][405/535][168296] Loss_D: -0.017903 Loss_G: -0.005394 Loss_D_real: -0.007705 Loss_D_fake 0.010198
[1630/5000][410/535][168297] Loss_D: -0.018549 Loss_G: -0.003655 Loss_D_real: -0.016878 Loss_D_fake 0.001670
[1630/5000][415/535][168298] Loss_D: -0.018863 Loss_G: 0.009020 Loss_D_real: -0.013499 Loss_D_fake 0.005363
[1630/5000][420/535][168299] Loss_D: -0.020241 Loss_G: 0.012189 Loss_D_real: -0.025256 Loss_D_fake -0.005015
[1630/5000][425/535][168300] Loss_D: -0.018769 Loss_G: 0.024122 Loss_D_real: -0.028461 Loss_D_fake -0.009692
[1630/5000][430/535][168301] Loss_D: -0.019909 Loss_G: 0.007774 Loss_D_real: -0.002634 Loss_D_fake 0.017274
[1630/5000][435/535][168302] Loss_D: -0.019553 Loss_G: 0.010856 Loss_D_real: -0.018146 Loss_D_fake 0.001406
[1630/5000][440/535][168303] Loss_D: -0.019644 Loss_G: 0.002891 Loss_D_real: 0.002906 Loss_D_fake 0.022550
[1630/5000][445/535][168304] Loss_D: -0.019109 Loss_G: 0.001364 Loss_D_real: -0.007569 Loss_D_fake 0.011541
[1630/5000][450/535][168305] Loss_D: -0.018623 Loss_G: 0.012683 Loss_D_real: -0.031261 Loss_D_fake -0.012638
[1630/5000][455/535][168306] Loss_D: -0.019540 Loss_G: 0.003051 Loss_D_real: -0.016191 Loss_D_fake 0.003350
[1630/5000][460/535][168307] Loss_D: -0.017848 Loss_G: 0.017553 Loss_D_real: -0.021878 Loss_D_fake -0.004030
[1630/5000][465/535][168308] Loss_D: -0.019644 Loss_G: 0.004286 Loss_D_real: -0.022898 Loss_D_fake -0.003254
[1630/5000][470/535][168309] Loss_D: -0.017610 Loss_G: 0.031626 Loss_D_real: -0.028134 Loss_D_fake -0.010524
[1630/5000][475/535][168310] Loss_D: -0.019818 Loss_G: -0.003035 Loss_D_real: -0.006697 Loss_D_fake 0.013120
[1630/5000][480/535][168311] Loss_D: -0.017975 Loss_G: 0.019641 Loss_D_real: -0.025279 Loss_D_fake -0.007305
[1630/5000][485/535][168312] Loss_D: -0.017933 Loss_G: 0.007117 Loss_D_real: -0.011578 Loss_D_fake 0.006355
[1630/5000][490/535][168313] Loss_D: -0.019690 Loss_G: 0.003650 Loss_D_real: -0.015435 Loss_D_fake 0.004254
[1630/5000][495/535][168314] Loss_D: -0.018124 Loss_G: 0.013799 Loss_D_real: -0.010977 Loss_D_fake 0.007147
[1630/5000][500/535][168315] Loss_D: -0.019094 Loss_G: 0.015754 Loss_D_real: -0.029404 Loss_D_fake -0.010310
[1630/5000][505/535][168316] Loss_D: -0.019406 Loss_G: 0.002398 Loss_D_real: -0.016827 Loss_D_fake 0.002580
[1630/5000][510/535][168317] Loss_D: -0.019659 Loss_G: -0.003030 Loss_D_real: -0.004001 Loss_D_fake 0.015658
[1630/5000][515/535][168318] Loss_D: -0.019356 Loss_G: 0.018307 Loss_D_real: -0.015450 Loss_D_fake 0.003906
[1630/5000][520/535][168319] Loss_D: -0.018376 Loss_G: 0.015776 Loss_D_real: -0.022768 Loss_D_fake -0.004392
[1630/5000][525/535][168320] Loss_D: -0.019925 Loss_G: 0.010587 Loss_D_real: -0.002695 Loss_D_fake 0.017230
[1630/5000][530/535][168321] Loss_D: -0.018489 Loss_G: 0.008193 Loss_D_real: -0.017518 Loss_D_fake 0.000971
[1630/5000][535/535][168322] Loss_D: -0.016242 Loss_G: 0.008737 Loss_D_real: -0.003174 Loss_D_fake 0.013069
[1631/5000][5/535][168323] Loss_D: -0.018102 Loss_G: -0.019659 Loss_D_real: 0.007266 Loss_D_fake 0.025368
[1631/5000][10/535][168324] Loss_D: -0.020122 Loss_G: 0.003067 Loss_D_real: -0.015022 Loss_D_fake 0.005100
[1631/5000][15/535][168325] Loss_D: -0.017703 Loss_G: 0.009984 Loss_D_real: -0.016083 Loss_D_fake 0.001619
[1631/5000][20/535][168326] Loss_D: -0.018532 Loss_G: -0.009303 Loss_D_real: -0.008787 Loss_D_fake 0.009745
[1631/5000][25/535][168327] Loss_D: -0.020305 Loss_G: -0.012078 Loss_D_real: -0.000814 Loss_D_fake 0.019491
[1631/5000][30/535][168328] Loss_D: -0.019963 Loss_G: 0.001482 Loss_D_real: -0.010061 Loss_D_fake 0.009903
[1631/5000][35/535][168329] Loss_D: -0.017443 Loss_G: 0.001925 Loss_D_real: -0.013876 Loss_D_fake 0.003567
[1631/5000][40/535][168330] Loss_D: -0.019123 Loss_G: -0.004289 Loss_D_real: -0.015520 Loss_D_fake 0.003604
[1631/5000][45/535][168331] Loss_D: -0.019997 Loss_G: 0.026391 Loss_D_real: -0.011185 Loss_D_fake 0.008812
[1631/5000][50/535][168332] Loss_D: -0.020027 Loss_G: 0.006908 Loss_D_real: -0.019442 Loss_D_fake 0.000585
[1631/5000][55/535][168333] Loss_D: -0.020712 Loss_G: -0.001699 Loss_D_real: -0.013258 Loss_D_fake 0.007455
[1631/5000][60/535][168334] Loss_D: -0.018830 Loss_G: -0.004253 Loss_D_real: -0.008511 Loss_D_fake 0.010318
[1631/5000][65/535][168335] Loss_D: -0.018426 Loss_G: 0.037913 Loss_D_real: -0.023559 Loss_D_fake -0.005133
[1631/5000][70/535][168336] Loss_D: -0.019395 Loss_G: 0.015314 Loss_D_real: -0.009215 Loss_D_fake 0.010180
[1631/5000][75/535][168337] Loss_D: -0.019114 Loss_G: 0.016275 Loss_D_real: -0.035404 Loss_D_fake -0.016290
[1631/5000][80/535][168338] Loss_D: -0.019525 Loss_G: 0.000373 Loss_D_real: -0.019872 Loss_D_fake -0.000347
[1631/5000][85/535][168339] Loss_D: -0.018732 Loss_G: -0.022494 Loss_D_real: -0.005448 Loss_D_fake 0.013284
[1631/5000][90/535][168340] Loss_D: -0.018372 Loss_G: 0.021841 Loss_D_real: -0.008830 Loss_D_fake 0.009542
[1631/5000][95/535][168341] Loss_D: -0.019175 Loss_G: 0.021616 Loss_D_real: -0.019142 Loss_D_fake 0.000034
[1631/5000][100/535][168342] Loss_D: -0.019582 Loss_G: 0.010238 Loss_D_real: -0.022894 Loss_D_fake -0.003312
[1631/5000][105/535][168343] Loss_D: -0.018941 Loss_G: -0.001351 Loss_D_real: -0.020767 Loss_D_fake -0.001826
[1631/5000][110/535][168344] Loss_D: -0.020136 Loss_G: 0.010786 Loss_D_real: -0.020892 Loss_D_fake -0.000756
[1631/5000][115/535][168345] Loss_D: -0.021849 Loss_G: 0.000118 Loss_D_real: -0.017081 Loss_D_fake 0.004768
[1631/5000][120/535][168346] Loss_D: -0.019184 Loss_G: 0.018206 Loss_D_real: -0.017700 Loss_D_fake 0.001484
[1631/5000][125/535][168347] Loss_D: -0.019655 Loss_G: -0.001784 Loss_D_real: -0.013745 Loss_D_fake 0.005911
[1631/5000][130/535][168348] Loss_D: -0.018138 Loss_G: -0.010511 Loss_D_real: -0.009467 Loss_D_fake 0.008671
[1631/5000][135/535][168349] Loss_D: -0.018180 Loss_G: -0.003599 Loss_D_real: -0.013133 Loss_D_fake 0.005047
[1631/5000][140/535][168350] Loss_D: -0.018457 Loss_G: -0.011125 Loss_D_real: -0.009061 Loss_D_fake 0.009397
[1631/5000][145/535][168351] Loss_D: -0.017777 Loss_G: 0.001116 Loss_D_real: -0.003704 Loss_D_fake 0.014072
[1631/5000][150/535][168352] Loss_D: -0.018268 Loss_G: 0.026219 Loss_D_real: -0.030164 Loss_D_fake -0.011896
[1631/5000][155/535][168353] Loss_D: -0.020321 Loss_G: 0.012243 Loss_D_real: -0.019644 Loss_D_fake 0.000677
[1631/5000][160/535][168354] Loss_D: -0.018176 Loss_G: 0.002111 Loss_D_real: -0.004266 Loss_D_fake 0.013910
[1631/5000][165/535][168355] Loss_D: -0.018289 Loss_G: 0.001470 Loss_D_real: -0.005961 Loss_D_fake 0.012328
[1631/5000][170/535][168356] Loss_D: -0.018989 Loss_G: 0.002436 Loss_D_real: -0.014697 Loss_D_fake 0.004292
[1631/5000][175/535][168357] Loss_D: -0.018486 Loss_G: -0.011771 Loss_D_real: -0.000572 Loss_D_fake 0.017914
[1631/5000][180/535][168358] Loss_D: -0.019324 Loss_G: 0.009786 Loss_D_real: -0.013794 Loss_D_fake 0.005531
[1631/5000][185/535][168359] Loss_D: -0.019520 Loss_G: 0.012534 Loss_D_real: -0.020363 Loss_D_fake -0.000843
[1631/5000][190/535][168360] Loss_D: -0.019494 Loss_G: 0.018064 Loss_D_real: -0.006727 Loss_D_fake 0.012766
[1631/5000][195/535][168361] Loss_D: -0.018912 Loss_G: 0.006638 Loss_D_real: -0.023173 Loss_D_fake -0.004261
[1631/5000][200/535][168362] Loss_D: -0.018555 Loss_G: 0.010985 Loss_D_real: -0.015079 Loss_D_fake 0.003476
[1631/5000][205/535][168363] Loss_D: -0.017601 Loss_G: -0.011788 Loss_D_real: -0.005431 Loss_D_fake 0.012170
[1631/5000][210/535][168364] Loss_D: -0.018688 Loss_G: -0.012209 Loss_D_real: -0.009168 Loss_D_fake 0.009520
[1631/5000][215/535][168365] Loss_D: -0.018411 Loss_G: -0.008835 Loss_D_real: -0.011206 Loss_D_fake 0.007205
[1631/5000][220/535][168366] Loss_D: -0.019386 Loss_G: 0.010641 Loss_D_real: -0.006152 Loss_D_fake 0.013234
[1631/5000][225/535][168367] Loss_D: -0.017689 Loss_G: 0.019048 Loss_D_real: -0.018294 Loss_D_fake -0.000605
[1631/5000][230/535][168368] Loss_D: -0.017392 Loss_G: 0.017315 Loss_D_real: -0.032761 Loss_D_fake -0.015369
[1631/5000][235/535][168369] Loss_D: -0.018471 Loss_G: -0.002405 Loss_D_real: -0.003284 Loss_D_fake 0.015187
[1631/5000][240/535][168370] Loss_D: -0.020006 Loss_G: 0.013649 Loss_D_real: -0.009079 Loss_D_fake 0.010927
[1631/5000][245/535][168371] Loss_D: -0.019264 Loss_G: 0.011774 Loss_D_real: -0.007101 Loss_D_fake 0.012163
[1631/5000][250/535][168372] Loss_D: -0.019437 Loss_G: 0.016916 Loss_D_real: -0.025100 Loss_D_fake -0.005662
[1631/5000][255/535][168373] Loss_D: -0.017864 Loss_G: 0.013922 Loss_D_real: -0.017264 Loss_D_fake 0.000600
[1631/5000][260/535][168374] Loss_D: -0.017993 Loss_G: 0.018638 Loss_D_real: -0.012642 Loss_D_fake 0.005351
[1631/5000][265/535][168375] Loss_D: -0.018720 Loss_G: 0.028053 Loss_D_real: -0.031391 Loss_D_fake -0.012670
[1631/5000][270/535][168376] Loss_D: -0.019513 Loss_G: -0.011165 Loss_D_real: -0.017854 Loss_D_fake 0.001659
[1631/5000][275/535][168377] Loss_D: -0.017908 Loss_G: 0.021656 Loss_D_real: -0.023297 Loss_D_fake -0.005389
[1631/5000][280/535][168378] Loss_D: -0.019584 Loss_G: -0.006754 Loss_D_real: -0.013203 Loss_D_fake 0.006381
[1631/5000][285/535][168379] Loss_D: -0.017595 Loss_G: -0.011401 Loss_D_real: -0.015415 Loss_D_fake 0.002180
[1631/5000][290/535][168380] Loss_D: -0.018140 Loss_G: -0.009867 Loss_D_real: 0.015335 Loss_D_fake 0.033475
[1631/5000][295/535][168381] Loss_D: -0.017993 Loss_G: 0.009626 Loss_D_real: -0.019001 Loss_D_fake -0.001008
[1631/5000][300/535][168382] Loss_D: -0.019128 Loss_G: 0.007519 Loss_D_real: -0.024601 Loss_D_fake -0.005473
[1631/5000][305/535][168383] Loss_D: -0.019376 Loss_G: 0.011761 Loss_D_real: -0.020622 Loss_D_fake -0.001247
[1631/5000][310/535][168384] Loss_D: -0.019822 Loss_G: 0.017653 Loss_D_real: -0.020394 Loss_D_fake -0.000572
[1631/5000][315/535][168385] Loss_D: -0.020182 Loss_G: -0.018385 Loss_D_real: -0.001592 Loss_D_fake 0.018590
[1631/5000][320/535][168386] Loss_D: -0.017623 Loss_G: 0.012005 Loss_D_real: -0.027554 Loss_D_fake -0.009931
[1631/5000][325/535][168387] Loss_D: -0.018891 Loss_G: -0.007565 Loss_D_real: -0.003427 Loss_D_fake 0.015465
[1631/5000][330/535][168388] Loss_D: -0.019914 Loss_G: 0.004608 Loss_D_real: -0.013489 Loss_D_fake 0.006425
[1631/5000][335/535][168389] Loss_D: -0.020876 Loss_G: 0.006585 Loss_D_real: -0.010104 Loss_D_fake 0.010771
[1631/5000][340/535][168390] Loss_D: -0.019657 Loss_G: -0.003626 Loss_D_real: -0.013390 Loss_D_fake 0.006267
[1631/5000][345/535][168391] Loss_D: -0.019251 Loss_G: 0.019491 Loss_D_real: -0.013252 Loss_D_fake 0.005999
[1631/5000][350/535][168392] Loss_D: -0.020774 Loss_G: 0.010794 Loss_D_real: -0.009803 Loss_D_fake 0.010971
[1631/5000][355/535][168393] Loss_D: -0.019848 Loss_G: 0.013333 Loss_D_real: -0.023245 Loss_D_fake -0.003396
[1631/5000][360/535][168394] Loss_D: -0.019291 Loss_G: 0.033009 Loss_D_real: -0.031545 Loss_D_fake -0.012254
[1631/5000][365/535][168395] Loss_D: -0.021325 Loss_G: 0.000951 Loss_D_real: -0.024665 Loss_D_fake -0.003340
[1631/5000][370/535][168396] Loss_D: -0.018125 Loss_G: 0.006782 Loss_D_real: -0.020980 Loss_D_fake -0.002855
[1631/5000][375/535][168397] Loss_D: -0.019805 Loss_G: 0.009152 Loss_D_real: -0.011514 Loss_D_fake 0.008291
[1631/5000][380/535][168398] Loss_D: -0.019519 Loss_G: 0.019812 Loss_D_real: -0.014634 Loss_D_fake 0.004885
[1631/5000][385/535][168399] Loss_D: -0.020107 Loss_G: -0.003679 Loss_D_real: -0.007235 Loss_D_fake 0.012872
[1631/5000][390/535][168400] Loss_D: -0.019779 Loss_G: 0.001067 Loss_D_real: -0.010319 Loss_D_fake 0.009459
[1631/5000][395/535][168401] Loss_D: -0.020324 Loss_G: 0.008060 Loss_D_real: -0.020178 Loss_D_fake 0.000146
[1631/5000][400/535][168402] Loss_D: -0.019047 Loss_G: 0.025422 Loss_D_real: -0.024978 Loss_D_fake -0.005931
[1631/5000][405/535][168403] Loss_D: -0.018574 Loss_G: 0.012379 Loss_D_real: -0.000667 Loss_D_fake 0.017907
[1631/5000][410/535][168404] Loss_D: -0.019815 Loss_G: 0.007010 Loss_D_real: -0.012460 Loss_D_fake 0.007355
[1631/5000][415/535][168405] Loss_D: -0.019775 Loss_G: 0.005616 Loss_D_real: -0.021673 Loss_D_fake -0.001898
[1631/5000][420/535][168406] Loss_D: -0.017916 Loss_G: 0.013476 Loss_D_real: -0.028454 Loss_D_fake -0.010538
[1631/5000][425/535][168407] Loss_D: -0.019609 Loss_G: 0.001512 Loss_D_real: -0.019910 Loss_D_fake -0.000301
[1631/5000][430/535][168408] Loss_D: -0.020302 Loss_G: -0.007811 Loss_D_real: -0.003658 Loss_D_fake 0.016643
[1631/5000][435/535][168409] Loss_D: -0.018735 Loss_G: 0.011150 Loss_D_real: -0.021534 Loss_D_fake -0.002799
[1631/5000][440/535][168410] Loss_D: -0.018997 Loss_G: -0.002887 Loss_D_real: -0.014154 Loss_D_fake 0.004844
[1631/5000][445/535][168411] Loss_D: -0.018474 Loss_G: 0.003460 Loss_D_real: -0.023594 Loss_D_fake -0.005121
[1631/5000][450/535][168412] Loss_D: -0.017761 Loss_G: 0.026282 Loss_D_real: -0.027788 Loss_D_fake -0.010028
[1631/5000][455/535][168413] Loss_D: -0.018916 Loss_G: -0.008718 Loss_D_real: -0.003079 Loss_D_fake 0.015838
[1631/5000][460/535][168414] Loss_D: -0.019272 Loss_G: 0.013867 Loss_D_real: -0.018906 Loss_D_fake 0.000366
[1631/5000][465/535][168415] Loss_D: -0.018013 Loss_G: -0.007040 Loss_D_real: 0.001953 Loss_D_fake 0.019966
[1631/5000][470/535][168416] Loss_D: -0.020481 Loss_G: 0.005959 Loss_D_real: -0.005936 Loss_D_fake 0.014546
[1631/5000][475/535][168417] Loss_D: -0.019399 Loss_G: -0.000466 Loss_D_real: 0.000246 Loss_D_fake 0.019644
[1631/5000][480/535][168418] Loss_D: -0.019118 Loss_G: 0.010813 Loss_D_real: -0.008360 Loss_D_fake 0.010758
[1631/5000][485/535][168419] Loss_D: -0.018389 Loss_G: 0.026004 Loss_D_real: -0.031332 Loss_D_fake -0.012943
[1631/5000][490/535][168420] Loss_D: -0.019684 Loss_G: -0.013778 Loss_D_real: -0.003937 Loss_D_fake 0.015748
[1631/5000][495/535][168421] Loss_D: -0.018513 Loss_G: -0.004068 Loss_D_real: -0.010316 Loss_D_fake 0.008198
[1631/5000][500/535][168422] Loss_D: -0.019451 Loss_G: 0.016653 Loss_D_real: -0.015888 Loss_D_fake 0.003563
[1631/5000][505/535][168423] Loss_D: -0.019237 Loss_G: 0.010831 Loss_D_real: -0.007915 Loss_D_fake 0.011322
[1631/5000][510/535][168424] Loss_D: -0.020251 Loss_G: -0.001665 Loss_D_real: -0.007185 Loss_D_fake 0.013066
[1631/5000][515/535][168425] Loss_D: -0.019504 Loss_G: -0.000800 Loss_D_real: -0.012695 Loss_D_fake 0.006808
[1631/5000][520/535][168426] Loss_D: -0.019012 Loss_G: 0.003581 Loss_D_real: -0.015630 Loss_D_fake 0.003383
[1631/5000][525/535][168427] Loss_D: -0.019908 Loss_G: -0.000084 Loss_D_real: -0.005420 Loss_D_fake 0.014487
[1631/5000][530/535][168428] Loss_D: -0.018918 Loss_G: 0.003718 Loss_D_real: -0.002906 Loss_D_fake 0.016012
[1631/5000][535/535][168429] Loss_D: -0.017862 Loss_G: -0.001632 Loss_D_real: -0.012700 Loss_D_fake 0.005162
[1632/5000][5/535][168430] Loss_D: -0.018571 Loss_G: 0.009962 Loss_D_real: -0.014236 Loss_D_fake 0.004335
[1632/5000][10/535][168431] Loss_D: -0.017849 Loss_G: 0.002781 Loss_D_real: -0.023778 Loss_D_fake -0.005929
[1632/5000][15/535][168432] Loss_D: -0.019295 Loss_G: 0.015091 Loss_D_real: -0.019748 Loss_D_fake -0.000453
[1632/5000][20/535][168433] Loss_D: -0.019548 Loss_G: 0.000628 Loss_D_real: -0.014002 Loss_D_fake 0.005546
[1632/5000][25/535][168434] Loss_D: -0.021044 Loss_G: 0.010882 Loss_D_real: -0.001020 Loss_D_fake 0.020024
[1632/5000][30/535][168435] Loss_D: -0.019850 Loss_G: 0.022226 Loss_D_real: -0.019034 Loss_D_fake 0.000816
[1632/5000][35/535][168436] Loss_D: -0.017961 Loss_G: -0.010658 Loss_D_real: -0.016311 Loss_D_fake 0.001651
[1632/5000][40/535][168437] Loss_D: -0.018472 Loss_G: 0.015779 Loss_D_real: -0.024972 Loss_D_fake -0.006500
[1632/5000][45/535][168438] Loss_D: -0.020023 Loss_G: 0.005710 Loss_D_real: -0.012614 Loss_D_fake 0.007408
[1632/5000][50/535][168439] Loss_D: -0.020065 Loss_G: 0.014637 Loss_D_real: -0.017972 Loss_D_fake 0.002093
[1632/5000][55/535][168440] Loss_D: -0.020092 Loss_G: 0.002922 Loss_D_real: -0.020295 Loss_D_fake -0.000203
[1632/5000][60/535][168441] Loss_D: -0.018087 Loss_G: -0.010391 Loss_D_real: 0.007039 Loss_D_fake 0.025126
[1632/5000][65/535][168442] Loss_D: -0.018595 Loss_G: -0.013605 Loss_D_real: -0.008365 Loss_D_fake 0.010230
[1632/5000][70/535][168443] Loss_D: -0.019278 Loss_G: 0.026920 Loss_D_real: -0.031155 Loss_D_fake -0.011877
[1632/5000][75/535][168444] Loss_D: -0.020168 Loss_G: 0.002642 Loss_D_real: -0.010672 Loss_D_fake 0.009497
[1632/5000][80/535][168445] Loss_D: -0.018978 Loss_G: 0.008332 Loss_D_real: -0.016203 Loss_D_fake 0.002774
[1632/5000][85/535][168446] Loss_D: -0.018994 Loss_G: -0.004028 Loss_D_real: -0.012019 Loss_D_fake 0.006975
[1632/5000][90/535][168447] Loss_D: -0.016649 Loss_G: 0.035819 Loss_D_real: -0.035452 Loss_D_fake -0.018802
[1632/5000][95/535][168448] Loss_D: -0.017254 Loss_G: 0.011800 Loss_D_real: -0.023582 Loss_D_fake -0.006328
[1632/5000][100/535][168449] Loss_D: -0.018913 Loss_G: 0.012970 Loss_D_real: -0.032259 Loss_D_fake -0.013346
[1632/5000][105/535][168450] Loss_D: -0.019956 Loss_G: 0.002804 Loss_D_real: -0.019134 Loss_D_fake 0.000823
[1632/5000][110/535][168451] Loss_D: -0.018891 Loss_G: 0.012748 Loss_D_real: -0.023617 Loss_D_fake -0.004726
[1632/5000][115/535][168452] Loss_D: -0.019545 Loss_G: 0.017053 Loss_D_real: -0.011626 Loss_D_fake 0.007919
[1632/5000][120/535][168453] Loss_D: -0.018224 Loss_G: 0.000184 Loss_D_real: -0.000794 Loss_D_fake 0.017430
[1632/5000][125/535][168454] Loss_D: -0.018120 Loss_G: 0.002872 Loss_D_real: -0.022634 Loss_D_fake -0.004515
[1632/5000][130/535][168455] Loss_D: -0.019011 Loss_G: 0.004704 Loss_D_real: -0.007414 Loss_D_fake 0.011597
[1632/5000][135/535][168456] Loss_D: -0.018908 Loss_G: -0.009631 Loss_D_real: -0.007383 Loss_D_fake 0.011525
[1632/5000][140/535][168457] Loss_D: -0.018136 Loss_G: 0.015994 Loss_D_real: -0.019949 Loss_D_fake -0.001813
[1632/5000][145/535][168458] Loss_D: -0.018853 Loss_G: -0.004307 Loss_D_real: -0.015279 Loss_D_fake 0.003574
[1632/5000][150/535][168459] Loss_D: -0.018477 Loss_G: 0.015245 Loss_D_real: -0.019886 Loss_D_fake -0.001409
[1632/5000][155/535][168460] Loss_D: -0.018405 Loss_G: 0.009731 Loss_D_real: -0.012873 Loss_D_fake 0.005533
[1632/5000][160/535][168461] Loss_D: -0.019521 Loss_G: -0.001114 Loss_D_real: -0.020165 Loss_D_fake -0.000644
[1632/5000][165/535][168462] Loss_D: -0.018573 Loss_G: 0.018784 Loss_D_real: -0.030004 Loss_D_fake -0.011431
[1632/5000][170/535][168463] Loss_D: -0.018444 Loss_G: 0.003086 Loss_D_real: -0.014840 Loss_D_fake 0.003604
[1632/5000][175/535][168464] Loss_D: -0.018308 Loss_G: 0.000135 Loss_D_real: -0.021073 Loss_D_fake -0.002765
[1632/5000][180/535][168465] Loss_D: -0.018390 Loss_G: 0.015599 Loss_D_real: -0.018619 Loss_D_fake -0.000229
[1632/5000][185/535][168466] Loss_D: -0.018533 Loss_G: 0.008135 Loss_D_real: -0.017630 Loss_D_fake 0.000904
[1632/5000][190/535][168467] Loss_D: -0.017657 Loss_G: 0.006172 Loss_D_real: -0.033646 Loss_D_fake -0.015989
[1632/5000][195/535][168468] Loss_D: -0.019396 Loss_G: 0.013047 Loss_D_real: -0.029017 Loss_D_fake -0.009621
[1632/5000][200/535][168469] Loss_D: -0.018462 Loss_G: 0.014720 Loss_D_real: -0.023150 Loss_D_fake -0.004688
[1632/5000][205/535][168470] Loss_D: -0.018932 Loss_G: 0.003169 Loss_D_real: -0.014563 Loss_D_fake 0.004369
[1632/5000][210/535][168471] Loss_D: -0.018816 Loss_G: 0.013941 Loss_D_real: -0.019359 Loss_D_fake -0.000543
[1632/5000][215/535][168472] Loss_D: -0.019331 Loss_G: 0.013596 Loss_D_real: -0.034317 Loss_D_fake -0.014986
[1632/5000][220/535][168473] Loss_D: -0.018839 Loss_G: -0.004593 Loss_D_real: -0.006740 Loss_D_fake 0.012099
[1632/5000][225/535][168474] Loss_D: -0.016637 Loss_G: 0.020347 Loss_D_real: -0.026776 Loss_D_fake -0.010139
[1632/5000][230/535][168475] Loss_D: -0.018801 Loss_G: -0.007364 Loss_D_real: -0.007455 Loss_D_fake 0.011346
[1632/5000][235/535][168476] Loss_D: -0.018927 Loss_G: 0.014800 Loss_D_real: -0.017708 Loss_D_fake 0.001218
[1632/5000][240/535][168477] Loss_D: -0.019461 Loss_G: 0.003232 Loss_D_real: -0.000854 Loss_D_fake 0.018608
[1632/5000][245/535][168478] Loss_D: -0.019206 Loss_G: 0.010052 Loss_D_real: -0.015634 Loss_D_fake 0.003572
[1632/5000][250/535][168479] Loss_D: -0.018836 Loss_G: -0.014969 Loss_D_real: -0.002781 Loss_D_fake 0.016055
[1632/5000][255/535][168480] Loss_D: -0.018810 Loss_G: 0.004544 Loss_D_real: -0.005437 Loss_D_fake 0.013373
[1632/5000][260/535][168481] Loss_D: -0.018245 Loss_G: 0.007060 Loss_D_real: -0.021561 Loss_D_fake -0.003316
[1632/5000][265/535][168482] Loss_D: -0.019670 Loss_G: 0.003917 Loss_D_real: -0.011631 Loss_D_fake 0.008039
[1632/5000][270/535][168483] Loss_D: -0.018083 Loss_G: 0.014871 Loss_D_real: -0.018245 Loss_D_fake -0.000162
[1632/5000][275/535][168484] Loss_D: -0.018813 Loss_G: 0.020572 Loss_D_real: -0.033100 Loss_D_fake -0.014287
[1632/5000][280/535][168485] Loss_D: -0.019495 Loss_G: 0.017077 Loss_D_real: -0.029672 Loss_D_fake -0.010177
[1632/5000][285/535][168486] Loss_D: -0.018217 Loss_G: -0.023111 Loss_D_real: 0.004991 Loss_D_fake 0.023208
[1632/5000][290/535][168487] Loss_D: -0.019140 Loss_G: -0.005794 Loss_D_real: -0.008561 Loss_D_fake 0.010579
[1632/5000][295/535][168488] Loss_D: -0.017731 Loss_G: -0.016405 Loss_D_real: -0.008414 Loss_D_fake 0.009317
[1632/5000][300/535][168489] Loss_D: -0.019229 Loss_G: 0.015434 Loss_D_real: -0.020718 Loss_D_fake -0.001489
[1632/5000][305/535][168490] Loss_D: -0.019685 Loss_G: 0.015355 Loss_D_real: -0.011306 Loss_D_fake 0.008379
[1632/5000][310/535][168491] Loss_D: -0.018568 Loss_G: 0.008079 Loss_D_real: -0.026167 Loss_D_fake -0.007600
[1632/5000][315/535][168492] Loss_D: -0.018568 Loss_G: 0.016378 Loss_D_real: -0.018970 Loss_D_fake -0.000401
[1632/5000][320/535][168493] Loss_D: -0.018688 Loss_G: 0.023748 Loss_D_real: -0.015519 Loss_D_fake 0.003169
[1632/5000][325/535][168494] Loss_D: -0.019269 Loss_G: -0.004154 Loss_D_real: -0.015922 Loss_D_fake 0.003347
[1632/5000][330/535][168495] Loss_D: -0.018587 Loss_G: -0.000273 Loss_D_real: -0.022663 Loss_D_fake -0.004075
[1632/5000][335/535][168496] Loss_D: -0.019702 Loss_G: 0.011404 Loss_D_real: -0.020694 Loss_D_fake -0.000991
[1632/5000][340/535][168497] Loss_D: -0.018752 Loss_G: 0.023987 Loss_D_real: -0.023356 Loss_D_fake -0.004604
[1632/5000][345/535][168498] Loss_D: -0.018830 Loss_G: 0.026443 Loss_D_real: -0.023772 Loss_D_fake -0.004942
[1632/5000][350/535][168499] Loss_D: -0.020778 Loss_G: 0.006059 Loss_D_real: -0.018373 Loss_D_fake 0.002405
[1632/5000][355/535][168500] Loss_D: -0.019157 Loss_G: 0.020652 Loss_D_real: -0.018987 Loss_D_fake 0.000170
[1632/5000][455/535][168501] Loss_D: -0.024446 Loss_G: 0.019710 Loss_D_real: -0.035228 Loss_D_fake -0.010782
[1632/5000][460/535][168502] Loss_D: -0.019520 Loss_G: 0.030922 Loss_D_real: -0.024519 Loss_D_fake -0.004999
[1632/5000][465/535][168503] Loss_D: -0.018855 Loss_G: 0.005858 Loss_D_real: -0.012228 Loss_D_fake 0.006627
[1632/5000][470/535][168504] Loss_D: -0.017751 Loss_G: -0.007548 Loss_D_real: 0.000605 Loss_D_fake 0.018356
[1632/5000][475/535][168505] Loss_D: -0.017075 Loss_G: 0.024151 Loss_D_real: -0.023048 Loss_D_fake -0.005973
[1632/5000][480/535][168506] Loss_D: -0.017152 Loss_G: 0.020333 Loss_D_real: -0.016844 Loss_D_fake 0.000308
[1632/5000][485/535][168507] Loss_D: -0.018102 Loss_G: -0.014216 Loss_D_real: -0.018264 Loss_D_fake -0.000161
[1632/5000][490/535][168508] Loss_D: -0.017935 Loss_G: -0.013707 Loss_D_real: -0.008157 Loss_D_fake 0.009778
[1632/5000][495/535][168509] Loss_D: -0.020050 Loss_G: 0.012230 Loss_D_real: -0.021648 Loss_D_fake -0.001598
[1632/5000][500/535][168510] Loss_D: -0.018635 Loss_G: -0.002635 Loss_D_real: -0.002875 Loss_D_fake 0.015760
[1632/5000][505/535][168511] Loss_D: -0.018824 Loss_G: -0.009879 Loss_D_real: 0.006293 Loss_D_fake 0.025118
[1632/5000][510/535][168512] Loss_D: -0.019073 Loss_G: 0.006669 Loss_D_real: -0.022471 Loss_D_fake -0.003398
[1632/5000][515/535][168513] Loss_D: -0.019779 Loss_G: -0.005847 Loss_D_real: -0.005323 Loss_D_fake 0.014455
[1632/5000][520/535][168514] Loss_D: -0.019468 Loss_G: 0.004589 Loss_D_real: -0.000104 Loss_D_fake 0.019364
[1632/5000][525/535][168515] Loss_D: -0.019191 Loss_G: 0.002552 Loss_D_real: -0.006800 Loss_D_fake 0.012390
[1632/5000][530/535][168516] Loss_D: -0.019977 Loss_G: -0.004941 Loss_D_real: -0.017093 Loss_D_fake 0.002885
[1632/5000][535/535][168517] Loss_D: -0.017554 Loss_G: 0.003482 Loss_D_real: -0.025561 Loss_D_fake -0.008007
[1633/5000][5/535][168518] Loss_D: -0.020584 Loss_G: 0.003282 Loss_D_real: -0.014920 Loss_D_fake 0.005664
[1633/5000][10/535][168519] Loss_D: -0.018935 Loss_G: 0.006357 Loss_D_real: -0.000220 Loss_D_fake 0.018715
[1633/5000][15/535][168520] Loss_D: -0.018338 Loss_G: 0.010950 Loss_D_real: -0.019100 Loss_D_fake -0.000762
[1633/5000][20/535][168521] Loss_D: -0.017598 Loss_G: -0.007909 Loss_D_real: 0.002179 Loss_D_fake 0.019777
[1633/5000][25/535][168522] Loss_D: -0.019283 Loss_G: 0.014049 Loss_D_real: -0.003447 Loss_D_fake 0.015837
[1633/5000][30/535][168523] Loss_D: -0.017528 Loss_G: 0.011301 Loss_D_real: -0.013170 Loss_D_fake 0.004358
[1633/5000][35/535][168524] Loss_D: -0.018283 Loss_G: 0.005728 Loss_D_real: -0.014362 Loss_D_fake 0.003921
[1633/5000][40/535][168525] Loss_D: -0.018248 Loss_G: 0.013260 Loss_D_real: -0.016794 Loss_D_fake 0.001455
[1633/5000][45/535][168526] Loss_D: -0.017784 Loss_G: 0.009339 Loss_D_real: -0.024522 Loss_D_fake -0.006738
[1633/5000][50/535][168527] Loss_D: -0.017497 Loss_G: 0.018312 Loss_D_real: -0.018090 Loss_D_fake -0.000593
[1633/5000][55/535][168528] Loss_D: -0.019312 Loss_G: 0.006531 Loss_D_real: -0.020898 Loss_D_fake -0.001586
[1633/5000][60/535][168529] Loss_D: -0.018591 Loss_G: -0.001287 Loss_D_real: -0.009857 Loss_D_fake 0.008734
[1633/5000][65/535][168530] Loss_D: -0.017500 Loss_G: -0.013580 Loss_D_real: -0.010324 Loss_D_fake 0.007176
[1633/5000][70/535][168531] Loss_D: -0.019594 Loss_G: 0.011143 Loss_D_real: -0.011800 Loss_D_fake 0.007794
[1633/5000][75/535][168532] Loss_D: -0.019639 Loss_G: 0.005887 Loss_D_real: -0.010434 Loss_D_fake 0.009206
[1633/5000][80/535][168533] Loss_D: -0.019243 Loss_G: -0.019219 Loss_D_real: -0.009264 Loss_D_fake 0.009980
[1633/5000][85/535][168534] Loss_D: -0.020243 Loss_G: 0.023128 Loss_D_real: -0.022273 Loss_D_fake -0.002030
[1633/5000][90/535][168535] Loss_D: -0.018774 Loss_G: -0.004506 Loss_D_real: -0.000991 Loss_D_fake 0.017784
[1633/5000][95/535][168536] Loss_D: -0.018519 Loss_G: 0.021014 Loss_D_real: -0.012621 Loss_D_fake 0.005897
[1633/5000][100/535][168537] Loss_D: -0.020845 Loss_G: 0.002405 Loss_D_real: -0.017171 Loss_D_fake 0.003674
[1633/5000][105/535][168538] Loss_D: -0.020255 Loss_G: 0.001378 Loss_D_real: -0.011087 Loss_D_fake 0.009169
[1633/5000][110/535][168539] Loss_D: -0.019989 Loss_G: -0.002162 Loss_D_real: -0.017502 Loss_D_fake 0.002487
[1633/5000][115/535][168540] Loss_D: -0.018246 Loss_G: 0.023388 Loss_D_real: -0.021110 Loss_D_fake -0.002864
[1633/5000][120/535][168541] Loss_D: -0.018394 Loss_G: 0.002583 Loss_D_real: -0.007776 Loss_D_fake 0.010618
[1633/5000][125/535][168542] Loss_D: -0.019962 Loss_G: 0.004609 Loss_D_real: -0.006923 Loss_D_fake 0.013039
[1633/5000][130/535][168543] Loss_D: -0.020232 Loss_G: 0.019048 Loss_D_real: -0.025607 Loss_D_fake -0.005375
[1633/5000][135/535][168544] Loss_D: -0.019968 Loss_G: 0.007084 Loss_D_real: -0.018044 Loss_D_fake 0.001924
[1633/5000][140/535][168545] Loss_D: -0.018308 Loss_G: 0.022097 Loss_D_real: -0.020438 Loss_D_fake -0.002130
[1633/5000][145/535][168546] Loss_D: -0.019978 Loss_G: 0.001044 Loss_D_real: -0.024283 Loss_D_fake -0.004306
[1633/5000][150/535][168547] Loss_D: -0.020281 Loss_G: -0.009380 Loss_D_real: -0.021295 Loss_D_fake -0.001014
[1633/5000][155/535][168548] Loss_D: -0.016904 Loss_G: -0.011860 Loss_D_real: 0.002935 Loss_D_fake 0.019839
[1633/5000][160/535][168549] Loss_D: -0.020479 Loss_G: 0.013799 Loss_D_real: -0.008574 Loss_D_fake 0.011905
[1633/5000][165/535][168550] Loss_D: -0.018522 Loss_G: 0.014304 Loss_D_real: -0.021721 Loss_D_fake -0.003199
[1633/5000][170/535][168551] Loss_D: -0.020324 Loss_G: -0.001039 Loss_D_real: -0.010463 Loss_D_fake 0.009862
[1633/5000][175/535][168552] Loss_D: -0.017530 Loss_G: 0.025569 Loss_D_real: -0.018462 Loss_D_fake -0.000932
[1633/5000][180/535][168553] Loss_D: -0.017382 Loss_G: -0.005452 Loss_D_real: 0.002437 Loss_D_fake 0.019819
[1633/5000][185/535][168554] Loss_D: -0.019499 Loss_G: 0.012815 Loss_D_real: -0.028830 Loss_D_fake -0.009332
[1633/5000][190/535][168555] Loss_D: -0.017090 Loss_G: 0.016617 Loss_D_real: -0.032896 Loss_D_fake -0.015806
[1633/5000][195/535][168556] Loss_D: -0.019094 Loss_G: -0.017347 Loss_D_real: -0.012639 Loss_D_fake 0.006455
[1633/5000][200/535][168557] Loss_D: -0.019066 Loss_G: 0.002780 Loss_D_real: 0.000057 Loss_D_fake 0.019123
[1633/5000][205/535][168558] Loss_D: -0.018729 Loss_G: 0.006508 Loss_D_real: -0.014211 Loss_D_fake 0.004518
[1633/5000][210/535][168559] Loss_D: -0.019270 Loss_G: 0.019994 Loss_D_real: -0.022956 Loss_D_fake -0.003686
[1633/5000][215/535][168560] Loss_D: -0.019738 Loss_G: 0.005476 Loss_D_real: -0.003573 Loss_D_fake 0.016165
[1633/5000][220/535][168561] Loss_D: -0.018877 Loss_G: -0.003541 Loss_D_real: 0.006640 Loss_D_fake 0.025517
[1633/5000][225/535][168562] Loss_D: -0.019834 Loss_G: 0.006285 Loss_D_real: -0.027034 Loss_D_fake -0.007200
[1633/5000][230/535][168563] Loss_D: -0.020930 Loss_G: 0.012758 Loss_D_real: -0.013783 Loss_D_fake 0.007146
[1633/5000][235/535][168564] Loss_D: -0.018296 Loss_G: -0.007186 Loss_D_real: -0.010578 Loss_D_fake 0.007718
[1633/5000][240/535][168565] Loss_D: -0.019846 Loss_G: 0.026944 Loss_D_real: -0.022515 Loss_D_fake -0.002669
[1633/5000][245/535][168566] Loss_D: -0.019294 Loss_G: -0.004591 Loss_D_real: -0.001903 Loss_D_fake 0.017391
[1633/5000][250/535][168567] Loss_D: -0.018745 Loss_G: 0.014264 Loss_D_real: -0.019639 Loss_D_fake -0.000895
[1633/5000][255/535][168568] Loss_D: -0.018613 Loss_G: 0.001377 Loss_D_real: -0.006753 Loss_D_fake 0.011860
[1633/5000][260/535][168569] Loss_D: -0.019633 Loss_G: 0.018110 Loss_D_real: -0.027553 Loss_D_fake -0.007920
[1633/5000][265/535][168570] Loss_D: -0.018734 Loss_G: -0.001185 Loss_D_real: -0.012259 Loss_D_fake 0.006475
[1633/5000][270/535][168571] Loss_D: -0.019236 Loss_G: 0.009778 Loss_D_real: -0.013325 Loss_D_fake 0.005912
[1633/5000][275/535][168572] Loss_D: -0.019571 Loss_G: 0.023595 Loss_D_real: -0.011271 Loss_D_fake 0.008300
[1633/5000][280/535][168573] Loss_D: -0.018932 Loss_G: 0.023694 Loss_D_real: -0.026028 Loss_D_fake -0.007096
[1633/5000][285/535][168574] Loss_D: -0.019444 Loss_G: 0.015092 Loss_D_real: -0.029854 Loss_D_fake -0.010410
[1633/5000][290/535][168575] Loss_D: -0.019646 Loss_G: 0.002165 Loss_D_real: -0.014102 Loss_D_fake 0.005544
[1633/5000][295/535][168576] Loss_D: -0.019003 Loss_G: 0.007305 Loss_D_real: -0.026206 Loss_D_fake -0.007203
[1633/5000][300/535][168577] Loss_D: -0.019714 Loss_G: 0.012586 Loss_D_real: -0.022052 Loss_D_fake -0.002338
[1633/5000][305/535][168578] Loss_D: -0.017808 Loss_G: -0.008771 Loss_D_real: 0.001098 Loss_D_fake 0.018907
[1633/5000][310/535][168579] Loss_D: -0.018279 Loss_G: 0.008215 Loss_D_real: -0.017801 Loss_D_fake 0.000478
[1633/5000][315/535][168580] Loss_D: -0.018786 Loss_G: 0.002673 Loss_D_real: -0.015354 Loss_D_fake 0.003433
[1633/5000][320/535][168581] Loss_D: -0.019247 Loss_G: 0.002025 Loss_D_real: -0.020257 Loss_D_fake -0.001010
[1633/5000][325/535][168582] Loss_D: -0.019914 Loss_G: 0.006175 Loss_D_real: -0.006405 Loss_D_fake 0.013508
[1633/5000][330/535][168583] Loss_D: -0.019057 Loss_G: 0.021335 Loss_D_real: -0.027672 Loss_D_fake -0.008615
[1633/5000][335/535][168584] Loss_D: -0.019500 Loss_G: 0.001346 Loss_D_real: -0.012989 Loss_D_fake 0.006511
[1633/5000][340/535][168585] Loss_D: -0.019805 Loss_G: 0.003318 Loss_D_real: -0.021973 Loss_D_fake -0.002168
[1633/5000][345/535][168586] Loss_D: -0.019362 Loss_G: 0.022089 Loss_D_real: -0.010429 Loss_D_fake 0.008933
[1633/5000][350/535][168587] Loss_D: -0.018502 Loss_G: -0.005638 Loss_D_real: -0.004951 Loss_D_fake 0.013551
[1633/5000][355/535][168588] Loss_D: -0.017290 Loss_G: 0.006957 Loss_D_real: -0.004068 Loss_D_fake 0.013222
[1633/5000][360/535][168589] Loss_D: -0.019314 Loss_G: -0.006092 Loss_D_real: 0.001459 Loss_D_fake 0.020773
[1633/5000][365/535][168590] Loss_D: -0.019166 Loss_G: 0.008788 Loss_D_real: -0.014885 Loss_D_fake 0.004280
[1633/5000][370/535][168591] Loss_D: -0.018433 Loss_G: 0.016470 Loss_D_real: -0.027101 Loss_D_fake -0.008667
[1633/5000][375/535][168592] Loss_D: -0.018408 Loss_G: 0.017753 Loss_D_real: -0.033851 Loss_D_fake -0.015443
[1633/5000][380/535][168593] Loss_D: -0.018683 Loss_G: 0.018264 Loss_D_real: -0.024092 Loss_D_fake -0.005409
[1633/5000][385/535][168594] Loss_D: -0.018790 Loss_G: -0.008609 Loss_D_real: -0.005625 Loss_D_fake 0.013165
[1633/5000][390/535][168595] Loss_D: -0.018102 Loss_G: -0.004904 Loss_D_real: -0.005704 Loss_D_fake 0.012398
[1633/5000][395/535][168596] Loss_D: -0.018582 Loss_G: 0.012720 Loss_D_real: -0.014493 Loss_D_fake 0.004090
[1633/5000][400/535][168597] Loss_D: -0.018913 Loss_G: 0.011575 Loss_D_real: -0.013186 Loss_D_fake 0.005727
[1633/5000][405/535][168598] Loss_D: -0.018246 Loss_G: -0.004043 Loss_D_real: -0.011707 Loss_D_fake 0.006539
[1633/5000][410/535][168599] Loss_D: -0.018014 Loss_G: -0.013931 Loss_D_real: -0.004756 Loss_D_fake 0.013258
[1633/5000][415/535][168600] Loss_D: -0.019676 Loss_G: 0.015175 Loss_D_real: -0.017578 Loss_D_fake 0.002098
[1633/5000][420/535][168601] Loss_D: -0.018904 Loss_G: -0.009990 Loss_D_real: -0.002527 Loss_D_fake 0.016377
[1633/5000][425/535][168602] Loss_D: -0.019554 Loss_G: 0.015465 Loss_D_real: -0.023632 Loss_D_fake -0.004078
[1633/5000][430/535][168603] Loss_D: -0.018129 Loss_G: 0.030108 Loss_D_real: -0.020785 Loss_D_fake -0.002656
[1633/5000][435/535][168604] Loss_D: -0.020032 Loss_G: -0.001801 Loss_D_real: -0.006506 Loss_D_fake 0.013526
[1633/5000][440/535][168605] Loss_D: -0.020126 Loss_G: 0.019747 Loss_D_real: -0.016045 Loss_D_fake 0.004081
[1633/5000][445/535][168606] Loss_D: -0.018475 Loss_G: 0.021319 Loss_D_real: -0.025784 Loss_D_fake -0.007309
[1633/5000][450/535][168607] Loss_D: -0.018420 Loss_G: 0.020882 Loss_D_real: -0.035160 Loss_D_fake -0.016740
[1633/5000][455/535][168608] Loss_D: -0.019947 Loss_G: 0.006381 Loss_D_real: -0.006319 Loss_D_fake 0.013628
[1633/5000][460/535][168609] Loss_D: -0.020241 Loss_G: 0.007958 Loss_D_real: -0.013076 Loss_D_fake 0.007165
[1633/5000][465/535][168610] Loss_D: -0.019690 Loss_G: 0.012584 Loss_D_real: -0.027004 Loss_D_fake -0.007314
[1633/5000][470/535][168611] Loss_D: -0.019192 Loss_G: 0.011319 Loss_D_real: -0.025655 Loss_D_fake -0.006463
[1633/5000][475/535][168612] Loss_D: -0.019206 Loss_G: 0.007731 Loss_D_real: -0.015169 Loss_D_fake 0.004037
[1633/5000][480/535][168613] Loss_D: -0.019022 Loss_G: 0.005709 Loss_D_real: -0.005948 Loss_D_fake 0.013074
[1633/5000][485/535][168614] Loss_D: -0.017848 Loss_G: 0.022429 Loss_D_real: -0.038976 Loss_D_fake -0.021128
[1633/5000][490/535][168615] Loss_D: -0.019745 Loss_G: 0.023692 Loss_D_real: -0.017153 Loss_D_fake 0.002592
[1633/5000][495/535][168616] Loss_D: -0.019538 Loss_G: 0.003827 Loss_D_real: -0.007308 Loss_D_fake 0.012230
[1633/5000][500/535][168617] Loss_D: -0.019318 Loss_G: 0.000323 Loss_D_real: -0.012251 Loss_D_fake 0.007067
[1633/5000][505/535][168618] Loss_D: -0.018811 Loss_G: 0.006490 Loss_D_real: -0.010475 Loss_D_fake 0.008336
[1633/5000][510/535][168619] Loss_D: -0.018835 Loss_G: 0.001074 Loss_D_real: -0.021824 Loss_D_fake -0.002989
[1633/5000][515/535][168620] Loss_D: -0.017016 Loss_G: 0.012599 Loss_D_real: -0.013885 Loss_D_fake 0.003131
[1633/5000][520/535][168621] Loss_D: -0.017958 Loss_G: -0.007275 Loss_D_real: -0.003563 Loss_D_fake 0.014395
[1633/5000][525/535][168622] Loss_D: -0.019629 Loss_G: 0.015062 Loss_D_real: -0.018561 Loss_D_fake 0.001068
[1633/5000][530/535][168623] Loss_D: -0.019274 Loss_G: 0.001506 Loss_D_real: -0.010664 Loss_D_fake 0.008610
[1633/5000][535/535][168624] Loss_D: -0.018498 Loss_G: 0.019927 Loss_D_real: -0.040441 Loss_D_fake -0.021943
[1634/5000][5/535][168625] Loss_D: -0.019214 Loss_G: 0.018774 Loss_D_real: -0.028100 Loss_D_fake -0.008886
[1634/5000][10/535][168626] Loss_D: -0.020620 Loss_G: -0.012548 Loss_D_real: -0.008978 Loss_D_fake 0.011642
[1634/5000][15/535][168627] Loss_D: -0.019403 Loss_G: -0.000082 Loss_D_real: -0.000847 Loss_D_fake 0.018557
[1634/5000][20/535][168628] Loss_D: -0.018569 Loss_G: 0.013152 Loss_D_real: -0.026687 Loss_D_fake -0.008118
[1634/5000][25/535][168629] Loss_D: -0.020526 Loss_G: -0.007766 Loss_D_real: -0.015908 Loss_D_fake 0.004617
[1634/5000][30/535][168630] Loss_D: -0.019872 Loss_G: 0.006960 Loss_D_real: -0.026322 Loss_D_fake -0.006450
[1634/5000][35/535][168631] Loss_D: -0.019336 Loss_G: 0.013725 Loss_D_real: -0.021043 Loss_D_fake -0.001707
[1634/5000][40/535][168632] Loss_D: -0.019257 Loss_G: 0.016927 Loss_D_real: -0.029008 Loss_D_fake -0.009751
[1634/5000][45/535][168633] Loss_D: -0.020010 Loss_G: 0.014907 Loss_D_real: -0.015824 Loss_D_fake 0.004186
[1634/5000][50/535][168634] Loss_D: -0.019647 Loss_G: 0.024761 Loss_D_real: -0.025475 Loss_D_fake -0.005829
[1634/5000][55/535][168635] Loss_D: -0.019395 Loss_G: 0.001663 Loss_D_real: 0.002673 Loss_D_fake 0.022068
[1634/5000][60/535][168636] Loss_D: -0.019008 Loss_G: 0.000603 Loss_D_real: -0.014441 Loss_D_fake 0.004566
[1634/5000][65/535][168637] Loss_D: -0.019378 Loss_G: 0.003336 Loss_D_real: 0.004581 Loss_D_fake 0.023959
[1634/5000][70/535][168638] Loss_D: -0.019167 Loss_G: -0.005358 Loss_D_real: -0.016104 Loss_D_fake 0.003064
[1634/5000][75/535][168639] Loss_D: -0.019143 Loss_G: 0.001589 Loss_D_real: -0.030200 Loss_D_fake -0.011057
[1634/5000][80/535][168640] Loss_D: -0.020457 Loss_G: -0.010912 Loss_D_real: 0.003985 Loss_D_fake 0.024442
[1634/5000][85/535][168641] Loss_D: -0.018547 Loss_G: 0.008633 Loss_D_real: -0.008124 Loss_D_fake 0.010424
[1634/5000][90/535][168642] Loss_D: -0.019140 Loss_G: 0.003657 Loss_D_real: -0.011802 Loss_D_fake 0.007338
[1634/5000][95/535][168643] Loss_D: -0.019267 Loss_G: 0.007168 Loss_D_real: -0.008434 Loss_D_fake 0.010833
[1634/5000][100/535][168644] Loss_D: -0.019736 Loss_G: 0.007062 Loss_D_real: -0.010385 Loss_D_fake 0.009351
[1634/5000][105/535][168645] Loss_D: -0.018838 Loss_G: 0.012811 Loss_D_real: -0.012486 Loss_D_fake 0.006352
[1634/5000][110/535][168646] Loss_D: -0.018574 Loss_G: 0.005227 Loss_D_real: -0.010953 Loss_D_fake 0.007621
[1634/5000][115/535][168647] Loss_D: -0.020174 Loss_G: -0.025890 Loss_D_real: -0.001609 Loss_D_fake 0.018565
[1634/5000][120/535][168648] Loss_D: -0.018521 Loss_G: -0.003769 Loss_D_real: -0.015152 Loss_D_fake 0.003369
[1634/5000][125/535][168649] Loss_D: -0.018451 Loss_G: 0.010301 Loss_D_real: -0.019950 Loss_D_fake -0.001499
[1634/5000][130/535][168650] Loss_D: -0.018967 Loss_G: -0.003412 Loss_D_real: -0.008079 Loss_D_fake 0.010888
[1634/5000][135/535][168651] Loss_D: -0.017979 Loss_G: -0.000692 Loss_D_real: -0.006632 Loss_D_fake 0.011347
[1634/5000][140/535][168652] Loss_D: -0.019456 Loss_G: -0.006866 Loss_D_real: -0.003861 Loss_D_fake 0.015595
[1634/5000][145/535][168653] Loss_D: -0.018428 Loss_G: -0.007547 Loss_D_real: -0.016350 Loss_D_fake 0.002078
[1634/5000][150/535][168654] Loss_D: -0.020104 Loss_G: 0.021980 Loss_D_real: -0.019475 Loss_D_fake 0.000629
[1634/5000][155/535][168655] Loss_D: -0.018972 Loss_G: 0.009679 Loss_D_real: -0.023175 Loss_D_fake -0.004203
[1634/5000][160/535][168656] Loss_D: -0.019775 Loss_G: 0.001378 Loss_D_real: -0.021756 Loss_D_fake -0.001982
[1634/5000][165/535][168657] Loss_D: -0.016933 Loss_G: 0.005812 Loss_D_real: -0.030399 Loss_D_fake -0.013465
[1634/5000][170/535][168658] Loss_D: -0.019171 Loss_G: 0.011490 Loss_D_real: -0.012807 Loss_D_fake 0.006364
[1634/5000][175/535][168659] Loss_D: -0.018959 Loss_G: 0.001875 Loss_D_real: -0.017449 Loss_D_fake 0.001510
[1634/5000][180/535][168660] Loss_D: -0.019548 Loss_G: 0.016852 Loss_D_real: -0.021328 Loss_D_fake -0.001780
[1634/5000][185/535][168661] Loss_D: -0.019657 Loss_G: 0.009817 Loss_D_real: -0.009513 Loss_D_fake 0.010144
[1634/5000][190/535][168662] Loss_D: -0.018324 Loss_G: 0.005529 Loss_D_real: -0.015810 Loss_D_fake 0.002515
[1634/5000][195/535][168663] Loss_D: -0.018993 Loss_G: 0.017801 Loss_D_real: -0.022777 Loss_D_fake -0.003785
[1634/5000][200/535][168664] Loss_D: -0.018466 Loss_G: -0.014682 Loss_D_real: -0.004340 Loss_D_fake 0.014126
[1634/5000][205/535][168665] Loss_D: -0.019212 Loss_G: 0.008302 Loss_D_real: -0.015453 Loss_D_fake 0.003759
[1634/5000][210/535][168666] Loss_D: -0.019074 Loss_G: 0.025678 Loss_D_real: -0.014414 Loss_D_fake 0.004660
[1634/5000][215/535][168667] Loss_D: -0.020089 Loss_G: -0.007809 Loss_D_real: -0.015230 Loss_D_fake 0.004859
[1634/5000][220/535][168668] Loss_D: -0.017036 Loss_G: -0.002045 Loss_D_real: -0.009300 Loss_D_fake 0.007736
[1634/5000][225/535][168669] Loss_D: -0.018065 Loss_G: 0.008875 Loss_D_real: -0.020918 Loss_D_fake -0.002853
[1634/5000][230/535][168670] Loss_D: -0.018423 Loss_G: 0.011353 Loss_D_real: -0.022210 Loss_D_fake -0.003787
[1634/5000][235/535][168671] Loss_D: -0.019493 Loss_G: 0.013583 Loss_D_real: -0.013651 Loss_D_fake 0.005842
[1634/5000][240/535][168672] Loss_D: -0.019164 Loss_G: 0.009700 Loss_D_real: -0.016584 Loss_D_fake 0.002579
[1634/5000][245/535][168673] Loss_D: -0.018608 Loss_G: 0.014057 Loss_D_real: -0.033570 Loss_D_fake -0.014962
[1634/5000][250/535][168674] Loss_D: -0.019624 Loss_G: 0.000695 Loss_D_real: -0.021681 Loss_D_fake -0.002056
[1634/5000][255/535][168675] Loss_D: -0.018635 Loss_G: 0.014992 Loss_D_real: -0.006573 Loss_D_fake 0.012062
[1634/5000][260/535][168676] Loss_D: -0.019541 Loss_G: -0.001372 Loss_D_real: -0.022413 Loss_D_fake -0.002872
[1634/5000][265/535][168677] Loss_D: -0.019567 Loss_G: 0.002271 Loss_D_real: -0.018759 Loss_D_fake 0.000808
[1634/5000][270/535][168678] Loss_D: -0.020083 Loss_G: 0.016386 Loss_D_real: -0.018874 Loss_D_fake 0.001209
[1634/5000][275/535][168679] Loss_D: -0.018145 Loss_G: -0.014103 Loss_D_real: -0.004429 Loss_D_fake 0.013716
[1634/5000][280/535][168680] Loss_D: -0.019928 Loss_G: 0.004223 Loss_D_real: -0.011411 Loss_D_fake 0.008517
[1634/5000][285/535][168681] Loss_D: -0.019000 Loss_G: 0.019201 Loss_D_real: -0.023750 Loss_D_fake -0.004750
[1634/5000][290/535][168682] Loss_D: -0.019801 Loss_G: 0.008323 Loss_D_real: -0.013358 Loss_D_fake 0.006444
[1634/5000][295/535][168683] Loss_D: -0.018259 Loss_G: 0.014922 Loss_D_real: -0.014407 Loss_D_fake 0.003851
[1634/5000][300/535][168684] Loss_D: -0.019415 Loss_G: -0.005678 Loss_D_real: 0.000086 Loss_D_fake 0.019501
[1634/5000][305/535][168685] Loss_D: -0.019133 Loss_G: -0.001640 Loss_D_real: -0.008886 Loss_D_fake 0.010247
[1634/5000][310/535][168686] Loss_D: -0.019195 Loss_G: 0.024830 Loss_D_real: -0.028015 Loss_D_fake -0.008820
[1634/5000][315/535][168687] Loss_D: -0.019210 Loss_G: 0.009729 Loss_D_real: -0.020401 Loss_D_fake -0.001192
[1634/5000][320/535][168688] Loss_D: -0.019320 Loss_G: -0.007832 Loss_D_real: -0.008008 Loss_D_fake 0.011312
[1634/5000][325/535][168689] Loss_D: -0.018568 Loss_G: 0.002165 Loss_D_real: -0.012918 Loss_D_fake 0.005650
[1634/5000][330/535][168690] Loss_D: -0.019075 Loss_G: 0.010361 Loss_D_real: -0.023177 Loss_D_fake -0.004102
[1634/5000][335/535][168691] Loss_D: -0.019275 Loss_G: -0.008602 Loss_D_real: -0.009665 Loss_D_fake 0.009610
[1634/5000][340/535][168692] Loss_D: -0.019986 Loss_G: 0.011801 Loss_D_real: -0.019276 Loss_D_fake 0.000710
[1634/5000][345/535][168693] Loss_D: -0.019482 Loss_G: 0.006805 Loss_D_real: -0.018607 Loss_D_fake 0.000875
[1634/5000][350/535][168694] Loss_D: -0.018312 Loss_G: 0.002447 Loss_D_real: -0.006503 Loss_D_fake 0.011809
[1634/5000][355/535][168695] Loss_D: -0.018749 Loss_G: -0.000213 Loss_D_real: -0.018163 Loss_D_fake 0.000586
[1634/5000][360/535][168696] Loss_D: -0.018166 Loss_G: -0.010696 Loss_D_real: -0.005399 Loss_D_fake 0.012768
[1634/5000][365/535][168697] Loss_D: -0.018634 Loss_G: 0.005579 Loss_D_real: -0.013474 Loss_D_fake 0.005160
[1634/5000][370/535][168698] Loss_D: -0.019514 Loss_G: 0.015660 Loss_D_real: -0.014452 Loss_D_fake 0.005062
[1634/5000][375/535][168699] Loss_D: -0.020388 Loss_G: 0.014024 Loss_D_real: -0.014600 Loss_D_fake 0.005789
[1634/5000][380/535][168700] Loss_D: -0.019120 Loss_G: -0.000124 Loss_D_real: -0.019958 Loss_D_fake -0.000839
[1634/5000][385/535][168701] Loss_D: -0.018581 Loss_G: 0.012786 Loss_D_real: -0.018120 Loss_D_fake 0.000461
[1634/5000][390/535][168702] Loss_D: -0.018987 Loss_G: 0.019978 Loss_D_real: -0.012895 Loss_D_fake 0.006092
[1634/5000][395/535][168703] Loss_D: -0.018369 Loss_G: 0.016537 Loss_D_real: -0.017022 Loss_D_fake 0.001347
[1634/5000][400/535][168704] Loss_D: -0.018255 Loss_G: 0.016660 Loss_D_real: -0.016414 Loss_D_fake 0.001841
[1634/5000][405/535][168705] Loss_D: -0.017985 Loss_G: -0.009793 Loss_D_real: -0.002978 Loss_D_fake 0.015008
[1634/5000][410/535][168706] Loss_D: -0.017673 Loss_G: 0.022617 Loss_D_real: -0.019437 Loss_D_fake -0.001763
[1634/5000][415/535][168707] Loss_D: -0.019818 Loss_G: -0.001446 Loss_D_real: -0.008015 Loss_D_fake 0.011803
[1634/5000][420/535][168708] Loss_D: -0.018445 Loss_G: 0.005547 Loss_D_real: -0.017733 Loss_D_fake 0.000711
[1634/5000][425/535][168709] Loss_D: -0.019871 Loss_G: -0.005241 Loss_D_real: -0.017388 Loss_D_fake 0.002483
[1634/5000][430/535][168710] Loss_D: -0.018408 Loss_G: 0.028140 Loss_D_real: -0.030383 Loss_D_fake -0.011975
[1634/5000][435/535][168711] Loss_D: -0.018332 Loss_G: -0.006352 Loss_D_real: -0.012802 Loss_D_fake 0.005530
[1634/5000][440/535][168712] Loss_D: -0.018425 Loss_G: 0.033148 Loss_D_real: -0.027379 Loss_D_fake -0.008954
[1634/5000][445/535][168713] Loss_D: -0.019512 Loss_G: 0.002930 Loss_D_real: -0.006974 Loss_D_fake 0.012538
[1634/5000][450/535][168714] Loss_D: -0.019363 Loss_G: -0.001532 Loss_D_real: -0.010574 Loss_D_fake 0.008789
[1634/5000][455/535][168715] Loss_D: -0.018501 Loss_G: 0.004964 Loss_D_real: -0.007998 Loss_D_fake 0.010503
[1634/5000][460/535][168716] Loss_D: -0.018262 Loss_G: -0.004191 Loss_D_real: -0.016518 Loss_D_fake 0.001743
[1634/5000][465/535][168717] Loss_D: -0.018095 Loss_G: 0.006321 Loss_D_real: -0.022760 Loss_D_fake -0.004664
[1634/5000][470/535][168718] Loss_D: -0.019443 Loss_G: 0.012462 Loss_D_real: -0.010818 Loss_D_fake 0.008626
[1634/5000][475/535][168719] Loss_D: -0.019684 Loss_G: 0.004732 Loss_D_real: -0.019316 Loss_D_fake 0.000368
[1634/5000][480/535][168720] Loss_D: -0.021641 Loss_G: 0.015114 Loss_D_real: -0.015066 Loss_D_fake 0.006575
[1634/5000][485/535][168721] Loss_D: -0.019111 Loss_G: 0.013882 Loss_D_real: -0.014597 Loss_D_fake 0.004514
[1634/5000][490/535][168722] Loss_D: -0.020911 Loss_G: 0.011190 Loss_D_real: -0.015443 Loss_D_fake 0.005469
[1634/5000][495/535][168723] Loss_D: -0.021112 Loss_G: -0.002702 Loss_D_real: -0.009463 Loss_D_fake 0.011649
[1634/5000][500/535][168724] Loss_D: -0.020099 Loss_G: -0.002323 Loss_D_real: -0.019822 Loss_D_fake 0.000276
[1634/5000][505/535][168725] Loss_D: -0.020515 Loss_G: -0.008699 Loss_D_real: -0.005050 Loss_D_fake 0.015465
[1634/5000][510/535][168726] Loss_D: -0.019759 Loss_G: 0.011429 Loss_D_real: -0.030912 Loss_D_fake -0.011153
[1634/5000][515/535][168727] Loss_D: -0.020911 Loss_G: 0.004532 Loss_D_real: -0.011247 Loss_D_fake 0.009663
[1634/5000][520/535][168728] Loss_D: -0.020345 Loss_G: 0.002790 Loss_D_real: -0.016414 Loss_D_fake 0.003932
[1634/5000][525/535][168729] Loss_D: -0.020848 Loss_G: 0.008236 Loss_D_real: -0.007825 Loss_D_fake 0.013023
[1634/5000][530/535][168730] Loss_D: -0.019770 Loss_G: 0.009566 Loss_D_real: -0.004245 Loss_D_fake 0.015525
[1634/5000][535/535][168731] Loss_D: -0.019806 Loss_G: 0.011424 Loss_D_real: -0.023940 Loss_D_fake -0.004134
[1635/5000][5/535][168732] Loss_D: -0.019691 Loss_G: -0.002397 Loss_D_real: -0.013406 Loss_D_fake 0.006286
[1635/5000][10/535][168733] Loss_D: -0.018790 Loss_G: 0.020235 Loss_D_real: -0.032619 Loss_D_fake -0.013829
[1635/5000][15/535][168734] Loss_D: -0.019055 Loss_G: 0.003489 Loss_D_real: -0.019401 Loss_D_fake -0.000347
[1635/5000][20/535][168735] Loss_D: -0.019835 Loss_G: 0.006319 Loss_D_real: -0.005835 Loss_D_fake 0.014000
[1635/5000][25/535][168736] Loss_D: -0.019511 Loss_G: 0.009280 Loss_D_real: -0.022727 Loss_D_fake -0.003216
[1635/5000][30/535][168737] Loss_D: -0.019639 Loss_G: -0.008464 Loss_D_real: -0.001527 Loss_D_fake 0.018112
[1635/5000][35/535][168738] Loss_D: -0.018690 Loss_G: 0.028767 Loss_D_real: -0.032121 Loss_D_fake -0.013431
[1635/5000][40/535][168739] Loss_D: -0.019726 Loss_G: 0.008387 Loss_D_real: -0.009948 Loss_D_fake 0.009778
[1635/5000][45/535][168740] Loss_D: -0.018863 Loss_G: 0.007727 Loss_D_real: -0.024797 Loss_D_fake -0.005935
[1635/5000][50/535][168741] Loss_D: -0.018691 Loss_G: 0.001827 Loss_D_real: -0.010493 Loss_D_fake 0.008198
[1635/5000][55/535][168742] Loss_D: -0.019400 Loss_G: -0.004936 Loss_D_real: -0.005894 Loss_D_fake 0.013506
[1635/5000][60/535][168743] Loss_D: -0.020092 Loss_G: 0.020462 Loss_D_real: -0.023436 Loss_D_fake -0.003344
[1635/5000][65/535][168744] Loss_D: -0.018873 Loss_G: -0.001587 Loss_D_real: -0.008052 Loss_D_fake 0.010820
[1635/5000][70/535][168745] Loss_D: -0.019213 Loss_G: 0.027571 Loss_D_real: -0.027067 Loss_D_fake -0.007854
[1635/5000][75/535][168746] Loss_D: -0.018691 Loss_G: 0.019859 Loss_D_real: -0.018669 Loss_D_fake 0.000022
[1635/5000][80/535][168747] Loss_D: -0.018733 Loss_G: 0.006276 Loss_D_real: -0.019503 Loss_D_fake -0.000770
[1635/5000][85/535][168748] Loss_D: -0.019653 Loss_G: 0.010888 Loss_D_real: -0.019930 Loss_D_fake -0.000276
[1635/5000][90/535][168749] Loss_D: -0.018543 Loss_G: 0.010187 Loss_D_real: -0.005076 Loss_D_fake 0.013467
[1635/5000][95/535][168750] Loss_D: -0.019883 Loss_G: 0.008478 Loss_D_real: -0.015610 Loss_D_fake 0.004273
[1635/5000][100/535][168751] Loss_D: -0.019229 Loss_G: -0.004783 Loss_D_real: -0.002432 Loss_D_fake 0.016797
[1635/5000][105/535][168752] Loss_D: -0.019202 Loss_G: 0.007674 Loss_D_real: -0.021973 Loss_D_fake -0.002771
[1635/5000][110/535][168753] Loss_D: -0.020114 Loss_G: 0.012620 Loss_D_real: -0.011345 Loss_D_fake 0.008770
[1635/5000][115/535][168754] Loss_D: -0.019321 Loss_G: -0.003574 Loss_D_real: -0.002843 Loss_D_fake 0.016478
[1635/5000][120/535][168755] Loss_D: -0.018163 Loss_G: 0.027889 Loss_D_real: -0.030466 Loss_D_fake -0.012304
[1635/5000][125/535][168756] Loss_D: -0.020210 Loss_G: 0.002455 Loss_D_real: -0.012883 Loss_D_fake 0.007326
[1635/5000][130/535][168757] Loss_D: -0.019021 Loss_G: 0.013470 Loss_D_real: -0.022453 Loss_D_fake -0.003432
[1635/5000][135/535][168758] Loss_D: -0.018755 Loss_G: 0.005588 Loss_D_real: -0.016069 Loss_D_fake 0.002687
[1635/5000][140/535][168759] Loss_D: -0.018619 Loss_G: 0.015463 Loss_D_real: -0.011580 Loss_D_fake 0.007039
[1635/5000][145/535][168760] Loss_D: -0.017852 Loss_G: 0.021425 Loss_D_real: -0.036690 Loss_D_fake -0.018838
[1635/5000][150/535][168761] Loss_D: -0.018467 Loss_G: 0.004701 Loss_D_real: -0.019472 Loss_D_fake -0.001005
[1635/5000][155/535][168762] Loss_D: -0.019138 Loss_G: 0.019524 Loss_D_real: -0.030124 Loss_D_fake -0.010986
[1635/5000][160/535][168763] Loss_D: -0.019762 Loss_G: 0.001492 Loss_D_real: -0.016436 Loss_D_fake 0.003326
[1635/5000][165/535][168764] Loss_D: -0.020001 Loss_G: 0.010067 Loss_D_real: -0.015465 Loss_D_fake 0.004536
[1635/5000][170/535][168765] Loss_D: -0.018342 Loss_G: -0.006021 Loss_D_real: -0.003069 Loss_D_fake 0.015273
[1635/5000][175/535][168766] Loss_D: -0.019685 Loss_G: 0.011591 Loss_D_real: -0.018084 Loss_D_fake 0.001601
[1635/5000][180/535][168767] Loss_D: -0.019959 Loss_G: 0.004670 Loss_D_real: -0.011758 Loss_D_fake 0.008201
[1635/5000][185/535][168768] Loss_D: -0.017793 Loss_G: 0.018444 Loss_D_real: -0.024504 Loss_D_fake -0.006711
[1635/5000][190/535][168769] Loss_D: -0.018331 Loss_G: -0.007614 Loss_D_real: 0.004386 Loss_D_fake 0.022718
[1635/5000][195/535][168770] Loss_D: -0.018865 Loss_G: -0.000634 Loss_D_real: -0.018442 Loss_D_fake 0.000423
[1635/5000][200/535][168771] Loss_D: -0.018522 Loss_G: 0.001409 Loss_D_real: -0.005257 Loss_D_fake 0.013265
[1635/5000][205/535][168772] Loss_D: -0.018988 Loss_G: 0.032110 Loss_D_real: -0.019050 Loss_D_fake -0.000063
[1635/5000][210/535][168773] Loss_D: -0.020049 Loss_G: -0.003086 Loss_D_real: -0.010010 Loss_D_fake 0.010039
[1635/5000][215/535][168774] Loss_D: -0.018008 Loss_G: -0.008997 Loss_D_real: 0.001901 Loss_D_fake 0.019908
[1635/5000][220/535][168775] Loss_D: -0.019457 Loss_G: 0.002484 Loss_D_real: -0.020682 Loss_D_fake -0.001225
[1635/5000][225/535][168776] Loss_D: -0.018206 Loss_G: 0.025066 Loss_D_real: -0.016255 Loss_D_fake 0.001951
[1635/5000][230/535][168777] Loss_D: -0.019273 Loss_G: 0.004752 Loss_D_real: -0.021047 Loss_D_fake -0.001774
[1635/5000][235/535][168778] Loss_D: -0.018790 Loss_G: -0.008434 Loss_D_real: -0.007822 Loss_D_fake 0.010969
[1635/5000][240/535][168779] Loss_D: -0.019887 Loss_G: 0.002514 Loss_D_real: -0.010330 Loss_D_fake 0.009558
[1635/5000][245/535][168780] Loss_D: -0.017954 Loss_G: -0.002178 Loss_D_real: -0.015017 Loss_D_fake 0.002937
[1635/5000][250/535][168781] Loss_D: -0.016835 Loss_G: 0.020717 Loss_D_real: -0.038175 Loss_D_fake -0.021340
[1635/5000][255/535][168782] Loss_D: -0.018177 Loss_G: -0.001326 Loss_D_real: -0.010149 Loss_D_fake 0.008028
[1635/5000][260/535][168783] Loss_D: -0.018688 Loss_G: 0.024915 Loss_D_real: -0.019294 Loss_D_fake -0.000606
[1635/5000][265/535][168784] Loss_D: -0.017355 Loss_G: 0.018351 Loss_D_real: -0.020195 Loss_D_fake -0.002840
[1635/5000][270/535][168785] Loss_D: -0.018930 Loss_G: -0.010915 Loss_D_real: -0.008759 Loss_D_fake 0.010172
[1635/5000][275/535][168786] Loss_D: -0.019359 Loss_G: 0.011305 Loss_D_real: -0.024424 Loss_D_fake -0.005065
[1635/5000][280/535][168787] Loss_D: -0.022316 Loss_G: 0.007053 Loss_D_real: -0.019541 Loss_D_fake 0.002776
[1635/5000][285/535][168788] Loss_D: -0.019066 Loss_G: -0.004435 Loss_D_real: 0.015842 Loss_D_fake 0.034908
[1635/5000][290/535][168789] Loss_D: -0.019465 Loss_G: 0.009827 Loss_D_real: -0.019303 Loss_D_fake 0.000162
[1635/5000][295/535][168790] Loss_D: -0.019494 Loss_G: 0.002041 Loss_D_real: -0.024236 Loss_D_fake -0.004742
[1635/5000][300/535][168791] Loss_D: -0.018405 Loss_G: 0.036085 Loss_D_real: -0.025837 Loss_D_fake -0.007432
[1635/5000][305/535][168792] Loss_D: -0.018902 Loss_G: -0.004368 Loss_D_real: -0.011615 Loss_D_fake 0.007286
[1635/5000][310/535][168793] Loss_D: -0.019540 Loss_G: 0.004093 Loss_D_real: -0.025333 Loss_D_fake -0.005793
[1635/5000][315/535][168794] Loss_D: -0.018725 Loss_G: 0.019759 Loss_D_real: -0.018760 Loss_D_fake -0.000035
[1635/5000][320/535][168795] Loss_D: -0.019522 Loss_G: 0.015064 Loss_D_real: -0.015705 Loss_D_fake 0.003817
[1635/5000][325/535][168796] Loss_D: -0.019246 Loss_G: -0.002745 Loss_D_real: -0.013097 Loss_D_fake 0.006150
[1635/5000][330/535][168797] Loss_D: -0.019951 Loss_G: -0.010497 Loss_D_real: -0.011322 Loss_D_fake 0.008629
[1635/5000][335/535][168798] Loss_D: -0.019233 Loss_G: 0.017758 Loss_D_real: -0.018823 Loss_D_fake 0.000410
[1635/5000][340/535][168799] Loss_D: -0.019365 Loss_G: 0.015414 Loss_D_real: -0.019318 Loss_D_fake 0.000047
[1635/5000][345/535][168800] Loss_D: -0.019409 Loss_G: 0.027675 Loss_D_real: -0.027882 Loss_D_fake -0.008473
[1635/5000][350/535][168801] Loss_D: -0.019559 Loss_G: -0.018232 Loss_D_real: -0.003133 Loss_D_fake 0.016426
[1635/5000][355/535][168802] Loss_D: -0.018648 Loss_G: 0.022976 Loss_D_real: -0.027428 Loss_D_fake -0.008780
[1635/5000][360/535][168803] Loss_D: -0.019762 Loss_G: 0.006073 Loss_D_real: -0.001653 Loss_D_fake 0.018109
[1635/5000][365/535][168804] Loss_D: -0.020730 Loss_G: 0.006406 Loss_D_real: -0.025215 Loss_D_fake -0.004485
[1635/5000][370/535][168805] Loss_D: -0.019027 Loss_G: 0.022394 Loss_D_real: -0.022561 Loss_D_fake -0.003534
[1635/5000][375/535][168806] Loss_D: -0.020325 Loss_G: 0.008344 Loss_D_real: -0.017227 Loss_D_fake 0.003098
[1635/5000][380/535][168807] Loss_D: -0.019845 Loss_G: 0.007254 Loss_D_real: -0.012275 Loss_D_fake 0.007570
[1635/5000][385/535][168808] Loss_D: -0.019820 Loss_G: 0.009186 Loss_D_real: -0.029720 Loss_D_fake -0.009900
[1635/5000][390/535][168809] Loss_D: -0.019612 Loss_G: 0.002643 Loss_D_real: -0.026719 Loss_D_fake -0.007107
[1635/5000][395/535][168810] Loss_D: -0.019117 Loss_G: -0.000890 Loss_D_real: -0.005417 Loss_D_fake 0.013700
[1635/5000][400/535][168811] Loss_D: -0.018992 Loss_G: 0.009731 Loss_D_real: -0.011047 Loss_D_fake 0.007945
[1635/5000][405/535][168812] Loss_D: -0.018150 Loss_G: 0.006542 Loss_D_real: -0.006381 Loss_D_fake 0.011769
[1635/5000][410/535][168813] Loss_D: -0.018392 Loss_G: 0.002910 Loss_D_real: -0.023386 Loss_D_fake -0.004994
[1635/5000][415/535][168814] Loss_D: -0.019428 Loss_G: 0.013031 Loss_D_real: -0.026953 Loss_D_fake -0.007524
[1635/5000][420/535][168815] Loss_D: -0.017754 Loss_G: 0.027714 Loss_D_real: -0.028948 Loss_D_fake -0.011194
[1635/5000][425/535][168816] Loss_D: -0.018362 Loss_G: 0.028062 Loss_D_real: -0.021248 Loss_D_fake -0.002886
[1635/5000][430/535][168817] Loss_D: -0.019506 Loss_G: 0.003174 Loss_D_real: -0.013019 Loss_D_fake 0.006488
[1635/5000][435/535][168818] Loss_D: -0.018642 Loss_G: 0.006906 Loss_D_real: -0.013459 Loss_D_fake 0.005183
[1635/5000][440/535][168819] Loss_D: -0.019228 Loss_G: 0.004366 Loss_D_real: -0.017367 Loss_D_fake 0.001861
[1635/5000][445/535][168820] Loss_D: -0.017956 Loss_G: 0.008492 Loss_D_real: -0.023716 Loss_D_fake -0.005760
[1635/5000][450/535][168821] Loss_D: -0.018612 Loss_G: 0.004542 Loss_D_real: -0.001492 Loss_D_fake 0.017120
[1635/5000][455/535][168822] Loss_D: -0.019431 Loss_G: -0.001477 Loss_D_real: -0.015509 Loss_D_fake 0.003922
[1635/5000][460/535][168823] Loss_D: -0.018339 Loss_G: 0.005137 Loss_D_real: -0.009375 Loss_D_fake 0.008964
[1635/5000][465/535][168824] Loss_D: -0.019146 Loss_G: 0.024056 Loss_D_real: -0.022274 Loss_D_fake -0.003128
[1635/5000][470/535][168825] Loss_D: -0.018886 Loss_G: 0.010908 Loss_D_real: -0.006922 Loss_D_fake 0.011963
[1635/5000][475/535][168826] Loss_D: -0.018721 Loss_G: 0.015124 Loss_D_real: -0.015453 Loss_D_fake 0.003268
[1635/5000][480/535][168827] Loss_D: -0.017261 Loss_G: 0.001280 Loss_D_real: -0.004944 Loss_D_fake 0.012316
[1635/5000][485/535][168828] Loss_D: -0.019014 Loss_G: -0.002524 Loss_D_real: 0.002598 Loss_D_fake 0.021612
[1635/5000][490/535][168829] Loss_D: -0.018457 Loss_G: -0.005530 Loss_D_real: -0.000016 Loss_D_fake 0.018441
[1635/5000][495/535][168830] Loss_D: -0.018556 Loss_G: 0.000703 Loss_D_real: -0.015172 Loss_D_fake 0.003384
[1635/5000][500/535][168831] Loss_D: -0.019059 Loss_G: 0.019854 Loss_D_real: -0.020070 Loss_D_fake -0.001011
[1635/5000][505/535][168832] Loss_D: -0.019640 Loss_G: -0.006101 Loss_D_real: -0.000953 Loss_D_fake 0.018686
[1635/5000][510/535][168833] Loss_D: -0.019046 Loss_G: -0.001760 Loss_D_real: 0.000824 Loss_D_fake 0.019870
[1635/5000][515/535][168834] Loss_D: -0.019885 Loss_G: -0.001843 Loss_D_real: -0.009779 Loss_D_fake 0.010107
[1635/5000][520/535][168835] Loss_D: -0.019464 Loss_G: -0.013451 Loss_D_real: -0.003721 Loss_D_fake 0.015743
[1635/5000][525/535][168836] Loss_D: -0.019896 Loss_G: 0.000324 Loss_D_real: -0.021584 Loss_D_fake -0.001688
[1635/5000][530/535][168837] Loss_D: -0.017833 Loss_G: -0.023441 Loss_D_real: -0.009795 Loss_D_fake 0.008038
[1635/5000][535/535][168838] Loss_D: -0.013582 Loss_G: -0.020999 Loss_D_real: 0.003326 Loss_D_fake 0.016908
[1636/5000][5/535][168839] Loss_D: -0.018867 Loss_G: 0.012001 Loss_D_real: -0.025143 Loss_D_fake -0.006276
[1636/5000][10/535][168840] Loss_D: -0.020172 Loss_G: 0.012608 Loss_D_real: -0.003731 Loss_D_fake 0.016441
[1636/5000][15/535][168841] Loss_D: -0.019103 Loss_G: 0.008907 Loss_D_real: -0.000017 Loss_D_fake 0.019086
[1636/5000][20/535][168842] Loss_D: -0.017794 Loss_G: -0.003105 Loss_D_real: 0.004013 Loss_D_fake 0.021806
[1636/5000][25/535][168843] Loss_D: -0.019107 Loss_G: 0.000028 Loss_D_real: -0.024729 Loss_D_fake -0.005622
[1636/5000][30/535][168844] Loss_D: -0.019604 Loss_G: 0.016056 Loss_D_real: -0.033411 Loss_D_fake -0.013807
[1636/5000][35/535][168845] Loss_D: -0.020640 Loss_G: -0.003901 Loss_D_real: -0.019022 Loss_D_fake 0.001618
[1636/5000][40/535][168846] Loss_D: -0.019845 Loss_G: 0.010491 Loss_D_real: -0.009416 Loss_D_fake 0.010429
[1636/5000][45/535][168847] Loss_D: -0.020298 Loss_G: 0.026993 Loss_D_real: -0.014431 Loss_D_fake 0.005867
[1636/5000][50/535][168848] Loss_D: -0.020721 Loss_G: -0.007368 Loss_D_real: -0.014566 Loss_D_fake 0.006155
[1636/5000][55/535][168849] Loss_D: -0.020146 Loss_G: 0.004313 Loss_D_real: -0.004207 Loss_D_fake 0.015939
[1636/5000][60/535][168850] Loss_D: -0.019533 Loss_G: -0.002157 Loss_D_real: -0.001978 Loss_D_fake 0.017555
[1636/5000][65/535][168851] Loss_D: -0.019965 Loss_G: -0.016936 Loss_D_real: -0.006611 Loss_D_fake 0.013354
[1636/5000][70/535][168852] Loss_D: -0.018485 Loss_G: -0.003003 Loss_D_real: -0.016719 Loss_D_fake 0.001766
[1636/5000][75/535][168853] Loss_D: -0.021277 Loss_G: 0.015756 Loss_D_real: -0.019414 Loss_D_fake 0.001862
[1636/5000][80/535][168854] Loss_D: -0.018550 Loss_G: -0.006977 Loss_D_real: -0.002037 Loss_D_fake 0.016513
[1636/5000][85/535][168855] Loss_D: -0.018003 Loss_G: 0.003359 Loss_D_real: -0.011258 Loss_D_fake 0.006745
[1636/5000][90/535][168856] Loss_D: -0.018978 Loss_G: 0.007962 Loss_D_real: -0.017054 Loss_D_fake 0.001924
[1636/5000][95/535][168857] Loss_D: -0.019472 Loss_G: 0.020243 Loss_D_real: -0.023676 Loss_D_fake -0.004203
[1636/5000][100/535][168858] Loss_D: -0.017994 Loss_G: -0.004364 Loss_D_real: -0.001784 Loss_D_fake 0.016210
[1636/5000][105/535][168859] Loss_D: -0.018393 Loss_G: -0.005576 Loss_D_real: -0.015510 Loss_D_fake 0.002882
[1636/5000][110/535][168860] Loss_D: -0.019713 Loss_G: 0.018086 Loss_D_real: -0.018561 Loss_D_fake 0.001152
[1636/5000][115/535][168861] Loss_D: -0.018045 Loss_G: -0.010797 Loss_D_real: -0.020205 Loss_D_fake -0.002160
[1636/5000][120/535][168862] Loss_D: -0.018511 Loss_G: 0.028649 Loss_D_real: -0.033476 Loss_D_fake -0.014965
[1636/5000][125/535][168863] Loss_D: -0.018041 Loss_G: 0.001693 Loss_D_real: -0.021175 Loss_D_fake -0.003133
[1636/5000][130/535][168864] Loss_D: -0.018715 Loss_G: 0.006072 Loss_D_real: -0.014618 Loss_D_fake 0.004097
[1636/5000][135/535][168865] Loss_D: -0.019791 Loss_G: -0.004345 Loss_D_real: -0.021236 Loss_D_fake -0.001445
[1636/5000][140/535][168866] Loss_D: -0.018323 Loss_G: 0.025039 Loss_D_real: -0.023571 Loss_D_fake -0.005247
[1636/5000][145/535][168867] Loss_D: -0.020149 Loss_G: 0.008696 Loss_D_real: -0.011238 Loss_D_fake 0.008912
[1636/5000][150/535][168868] Loss_D: -0.018286 Loss_G: -0.007926 Loss_D_real: 0.001110 Loss_D_fake 0.019396
[1636/5000][155/535][168869] Loss_D: -0.018479 Loss_G: 0.003026 Loss_D_real: -0.024803 Loss_D_fake -0.006324
[1636/5000][160/535][168870] Loss_D: -0.019595 Loss_G: 0.002325 Loss_D_real: -0.005593 Loss_D_fake 0.014002
[1636/5000][165/535][168871] Loss_D: -0.019918 Loss_G: 0.017984 Loss_D_real: -0.014351 Loss_D_fake 0.005567
[1636/5000][170/535][168872] Loss_D: -0.019095 Loss_G: 0.001415 Loss_D_real: -0.013408 Loss_D_fake 0.005687
[1636/5000][175/535][168873] Loss_D: -0.019719 Loss_G: 0.022148 Loss_D_real: -0.022041 Loss_D_fake -0.002322
[1636/5000][180/535][168874] Loss_D: -0.019098 Loss_G: 0.010820 Loss_D_real: -0.020834 Loss_D_fake -0.001735
[1636/5000][185/535][168875] Loss_D: -0.019925 Loss_G: 0.005216 Loss_D_real: -0.011547 Loss_D_fake 0.008378
[1636/5000][190/535][168876] Loss_D: -0.019224 Loss_G: 0.028980 Loss_D_real: -0.019161 Loss_D_fake 0.000062
[1636/5000][195/535][168877] Loss_D: -0.018923 Loss_G: 0.004756 Loss_D_real: -0.021731 Loss_D_fake -0.002808
[1636/5000][200/535][168878] Loss_D: -0.019531 Loss_G: -0.003605 Loss_D_real: -0.012899 Loss_D_fake 0.006632
[1636/5000][205/535][168879] Loss_D: -0.017349 Loss_G: 0.021146 Loss_D_real: -0.026498 Loss_D_fake -0.009149
[1636/5000][210/535][168880] Loss_D: -0.018250 Loss_G: -0.015020 Loss_D_real: -0.008734 Loss_D_fake 0.009516
[1636/5000][215/535][168881] Loss_D: -0.018935 Loss_G: -0.002740 Loss_D_real: -0.020309 Loss_D_fake -0.001374
[1636/5000][220/535][168882] Loss_D: -0.017966 Loss_G: 0.007546 Loss_D_real: -0.014870 Loss_D_fake 0.003096
[1636/5000][225/535][168883] Loss_D: -0.019292 Loss_G: 0.002756 Loss_D_real: -0.017600 Loss_D_fake 0.001692
[1636/5000][230/535][168884] Loss_D: -0.018917 Loss_G: 0.002580 Loss_D_real: -0.015576 Loss_D_fake 0.003341
[1636/5000][235/535][168885] Loss_D: -0.019033 Loss_G: 0.015707 Loss_D_real: -0.024663 Loss_D_fake -0.005630
[1636/5000][240/535][168886] Loss_D: -0.019948 Loss_G: 0.002903 Loss_D_real: -0.013115 Loss_D_fake 0.006833
[1636/5000][245/535][168887] Loss_D: -0.019120 Loss_G: 0.011733 Loss_D_real: -0.015434 Loss_D_fake 0.003687
[1636/5000][250/535][168888] Loss_D: -0.018532 Loss_G: 0.030171 Loss_D_real: -0.020817 Loss_D_fake -0.002285
[1636/5000][255/535][168889] Loss_D: -0.020699 Loss_G: 0.025151 Loss_D_real: -0.029251 Loss_D_fake -0.008551
[1636/5000][260/535][168890] Loss_D: -0.019626 Loss_G: -0.004137 Loss_D_real: -0.007835 Loss_D_fake 0.011791
[1636/5000][265/535][168891] Loss_D: -0.020009 Loss_G: -0.008449 Loss_D_real: -0.001370 Loss_D_fake 0.018639
[1636/5000][270/535][168892] Loss_D: -0.018044 Loss_G: -0.011342 Loss_D_real: 0.004132 Loss_D_fake 0.022176
[1636/5000][275/535][168893] Loss_D: -0.019403 Loss_G: 0.006286 Loss_D_real: -0.013746 Loss_D_fake 0.005656
[1636/5000][280/535][168894] Loss_D: -0.018789 Loss_G: 0.017814 Loss_D_real: -0.023011 Loss_D_fake -0.004222
[1636/5000][285/535][168895] Loss_D: -0.020423 Loss_G: 0.005693 Loss_D_real: -0.009668 Loss_D_fake 0.010755
[1636/5000][290/535][168896] Loss_D: -0.019243 Loss_G: 0.017718 Loss_D_real: -0.026254 Loss_D_fake -0.007011
[1636/5000][295/535][168897] Loss_D: -0.019639 Loss_G: 0.005680 Loss_D_real: -0.022541 Loss_D_fake -0.002902
[1636/5000][300/535][168898] Loss_D: -0.018483 Loss_G: 0.016363 Loss_D_real: -0.039593 Loss_D_fake -0.021110
[1636/5000][305/535][168899] Loss_D: -0.017490 Loss_G: 0.031119 Loss_D_real: -0.030993 Loss_D_fake -0.013503
[1636/5000][310/535][168900] Loss_D: -0.019394 Loss_G: -0.013867 Loss_D_real: -0.008282 Loss_D_fake 0.011112
[1636/5000][315/535][168901] Loss_D: -0.017526 Loss_G: 0.026237 Loss_D_real: -0.024577 Loss_D_fake -0.007050
[1636/5000][320/535][168902] Loss_D: -0.020224 Loss_G: 0.010295 Loss_D_real: -0.011881 Loss_D_fake 0.008343
[1636/5000][325/535][168903] Loss_D: -0.019529 Loss_G: 0.007771 Loss_D_real: -0.002507 Loss_D_fake 0.017022
[1636/5000][330/535][168904] Loss_D: -0.018776 Loss_G: 0.000775 Loss_D_real: -0.011219 Loss_D_fake 0.007557
[1636/5000][335/535][168905] Loss_D: -0.017686 Loss_G: -0.008867 Loss_D_real: -0.014225 Loss_D_fake 0.003461
[1636/5000][340/535][168906] Loss_D: -0.019125 Loss_G: 0.020598 Loss_D_real: -0.020700 Loss_D_fake -0.001575
[1636/5000][345/535][168907] Loss_D: -0.018743 Loss_G: 0.011427 Loss_D_real: -0.019826 Loss_D_fake -0.001083
[1636/5000][350/535][168908] Loss_D: -0.019643 Loss_G: 0.000198 Loss_D_real: -0.004809 Loss_D_fake 0.014834
[1636/5000][355/535][168909] Loss_D: -0.019180 Loss_G: 0.011783 Loss_D_real: -0.032957 Loss_D_fake -0.013777
[1636/5000][360/535][168910] Loss_D: -0.019409 Loss_G: 0.002261 Loss_D_real: -0.022258 Loss_D_fake -0.002849
[1636/5000][365/535][168911] Loss_D: -0.019440 Loss_G: -0.002382 Loss_D_real: -0.003658 Loss_D_fake 0.015782
[1636/5000][370/535][168912] Loss_D: -0.019740 Loss_G: -0.005765 Loss_D_real: -0.012843 Loss_D_fake 0.006898
[1636/5000][375/535][168913] Loss_D: -0.019260 Loss_G: 0.008330 Loss_D_real: -0.022002 Loss_D_fake -0.002742
[1636/5000][380/535][168914] Loss_D: -0.020448 Loss_G: 0.020314 Loss_D_real: -0.026964 Loss_D_fake -0.006515
[1636/5000][385/535][168915] Loss_D: -0.020339 Loss_G: -0.005961 Loss_D_real: -0.004469 Loss_D_fake 0.015870
[1636/5000][390/535][168916] Loss_D: -0.019201 Loss_G: 0.014528 Loss_D_real: -0.018349 Loss_D_fake 0.000852
[1636/5000][395/535][168917] Loss_D: -0.017994 Loss_G: 0.014489 Loss_D_real: -0.025006 Loss_D_fake -0.007012
[1636/5000][400/535][168918] Loss_D: -0.018074 Loss_G: 0.001854 Loss_D_real: -0.001324 Loss_D_fake 0.016750
[1636/5000][405/535][168919] Loss_D: -0.019111 Loss_G: 0.009871 Loss_D_real: -0.018046 Loss_D_fake 0.001065
[1636/5000][410/535][168920] Loss_D: -0.019164 Loss_G: 0.009244 Loss_D_real: -0.013701 Loss_D_fake 0.005463
[1636/5000][415/535][168921] Loss_D: -0.019875 Loss_G: -0.001361 Loss_D_real: -0.009668 Loss_D_fake 0.010207
[1636/5000][420/535][168922] Loss_D: -0.019387 Loss_G: 0.005459 Loss_D_real: -0.009694 Loss_D_fake 0.009693
[1636/5000][425/535][168923] Loss_D: -0.018333 Loss_G: 0.027156 Loss_D_real: -0.023806 Loss_D_fake -0.005474
[1636/5000][430/535][168924] Loss_D: -0.019029 Loss_G: 0.009366 Loss_D_real: -0.010998 Loss_D_fake 0.008031
[1636/5000][435/535][168925] Loss_D: -0.019393 Loss_G: -0.006740 Loss_D_real: -0.018376 Loss_D_fake 0.001017
[1636/5000][440/535][168926] Loss_D: -0.018682 Loss_G: 0.024392 Loss_D_real: -0.021707 Loss_D_fake -0.003025
[1636/5000][445/535][168927] Loss_D: -0.018601 Loss_G: -0.008906 Loss_D_real: -0.006804 Loss_D_fake 0.011797
[1636/5000][450/535][168928] Loss_D: -0.018882 Loss_G: 0.006184 Loss_D_real: -0.021443 Loss_D_fake -0.002561
[1636/5000][455/535][168929] Loss_D: -0.019603 Loss_G: -0.000059 Loss_D_real: 0.001145 Loss_D_fake 0.020749
[1636/5000][460/535][168930] Loss_D: -0.017493 Loss_G: 0.029781 Loss_D_real: -0.034079 Loss_D_fake -0.016587
[1636/5000][465/535][168931] Loss_D: -0.019257 Loss_G: 0.025616 Loss_D_real: -0.019854 Loss_D_fake -0.000598
[1636/5000][470/535][168932] Loss_D: -0.019447 Loss_G: -0.001574 Loss_D_real: -0.017997 Loss_D_fake 0.001450
[1636/5000][475/535][168933] Loss_D: -0.018525 Loss_G: 0.012301 Loss_D_real: -0.012518 Loss_D_fake 0.006007
[1636/5000][480/535][168934] Loss_D: -0.019192 Loss_G: -0.017127 Loss_D_real: -0.016932 Loss_D_fake 0.002260
[1636/5000][485/535][168935] Loss_D: -0.018983 Loss_G: 0.005594 Loss_D_real: -0.007001 Loss_D_fake 0.011982
[1636/5000][490/535][168936] Loss_D: -0.019258 Loss_G: 0.013687 Loss_D_real: -0.004190 Loss_D_fake 0.015069
[1636/5000][495/535][168937] Loss_D: -0.019827 Loss_G: -0.003964 Loss_D_real: -0.014328 Loss_D_fake 0.005499
[1636/5000][500/535][168938] Loss_D: -0.016566 Loss_G: 0.028234 Loss_D_real: -0.027667 Loss_D_fake -0.011101
[1636/5000][505/535][168939] Loss_D: -0.018590 Loss_G: 0.007259 Loss_D_real: -0.021362 Loss_D_fake -0.002772
[1636/5000][510/535][168940] Loss_D: -0.019199 Loss_G: -0.003148 Loss_D_real: -0.009680 Loss_D_fake 0.009518
[1636/5000][515/535][168941] Loss_D: -0.018607 Loss_G: 0.002095 Loss_D_real: -0.018702 Loss_D_fake -0.000095
[1636/5000][520/535][168942] Loss_D: -0.018608 Loss_G: 0.013796 Loss_D_real: -0.025094 Loss_D_fake -0.006486
[1636/5000][525/535][168943] Loss_D: -0.018547 Loss_G: 0.009148 Loss_D_real: -0.011067 Loss_D_fake 0.007480
[1636/5000][530/535][168944] Loss_D: -0.019455 Loss_G: 0.003205 Loss_D_real: -0.018291 Loss_D_fake 0.001164
[1636/5000][535/535][168945] Loss_D: -0.018028 Loss_G: 0.014417 Loss_D_real: -0.004750 Loss_D_fake 0.013278
[1637/5000][5/535][168946] Loss_D: -0.019024 Loss_G: 0.001524 Loss_D_real: -0.020381 Loss_D_fake -0.001357
[1637/5000][10/535][168947] Loss_D: -0.019536 Loss_G: 0.008461 Loss_D_real: -0.016601 Loss_D_fake 0.002935
[1637/5000][15/535][168948] Loss_D: -0.019738 Loss_G: 0.012032 Loss_D_real: -0.026917 Loss_D_fake -0.007179
[1637/5000][20/535][168949] Loss_D: -0.019512 Loss_G: 0.000780 Loss_D_real: -0.009767 Loss_D_fake 0.009744
[1637/5000][25/535][168950] Loss_D: -0.020337 Loss_G: 0.030963 Loss_D_real: -0.018152 Loss_D_fake 0.002185
[1637/5000][30/535][168951] Loss_D: -0.018796 Loss_G: -0.018507 Loss_D_real: -0.008286 Loss_D_fake 0.010510
[1637/5000][35/535][168952] Loss_D: -0.019756 Loss_G: 0.015588 Loss_D_real: -0.013373 Loss_D_fake 0.006383
[1637/5000][40/535][168953] Loss_D: -0.018890 Loss_G: 0.006293 Loss_D_real: -0.021541 Loss_D_fake -0.002651
[1637/5000][45/535][168954] Loss_D: -0.018599 Loss_G: 0.014161 Loss_D_real: -0.035001 Loss_D_fake -0.016402
[1637/5000][50/535][168955] Loss_D: -0.021079 Loss_G: -0.007125 Loss_D_real: -0.001567 Loss_D_fake 0.019511
[1637/5000][55/535][168956] Loss_D: -0.018537 Loss_G: 0.006073 Loss_D_real: -0.009885 Loss_D_fake 0.008652
[1637/5000][60/535][168957] Loss_D: -0.018675 Loss_G: -0.000291 Loss_D_real: -0.000948 Loss_D_fake 0.017727
[1637/5000][65/535][168958] Loss_D: -0.020103 Loss_G: 0.015461 Loss_D_real: -0.026679 Loss_D_fake -0.006576
[1637/5000][70/535][168959] Loss_D: -0.019582 Loss_G: 0.015526 Loss_D_real: -0.018413 Loss_D_fake 0.001168
[1637/5000][75/535][168960] Loss_D: -0.020066 Loss_G: -0.004346 Loss_D_real: -0.012383 Loss_D_fake 0.007683
[1637/5000][80/535][168961] Loss_D: -0.018758 Loss_G: 0.007597 Loss_D_real: -0.016327 Loss_D_fake 0.002430
[1637/5000][85/535][168962] Loss_D: -0.018669 Loss_G: 0.021662 Loss_D_real: -0.027041 Loss_D_fake -0.008372
[1637/5000][90/535][168963] Loss_D: -0.019177 Loss_G: 0.014250 Loss_D_real: -0.029334 Loss_D_fake -0.010157
[1637/5000][95/535][168964] Loss_D: -0.017950 Loss_G: 0.029202 Loss_D_real: -0.016022 Loss_D_fake 0.001928
[1637/5000][100/535][168965] Loss_D: -0.018536 Loss_G: 0.010829 Loss_D_real: -0.005571 Loss_D_fake 0.012964
[1637/5000][105/535][168966] Loss_D: -0.019277 Loss_G: 0.005138 Loss_D_real: -0.016411 Loss_D_fake 0.002866
[1637/5000][110/535][168967] Loss_D: -0.015622 Loss_G: 0.023721 Loss_D_real: -0.036515 Loss_D_fake -0.020893
[1637/5000][115/535][168968] Loss_D: -0.019030 Loss_G: 0.009486 Loss_D_real: -0.014450 Loss_D_fake 0.004580
[1637/5000][120/535][168969] Loss_D: -0.019016 Loss_G: 0.016778 Loss_D_real: -0.015938 Loss_D_fake 0.003077
[1637/5000][125/535][168970] Loss_D: -0.019540 Loss_G: -0.001553 Loss_D_real: -0.008294 Loss_D_fake 0.011246
[1637/5000][130/535][168971] Loss_D: -0.020563 Loss_G: 0.018287 Loss_D_real: -0.009973 Loss_D_fake 0.010590
[1637/5000][135/535][168972] Loss_D: -0.019711 Loss_G: 0.013643 Loss_D_real: -0.026121 Loss_D_fake -0.006410
[1637/5000][140/535][168973] Loss_D: -0.020391 Loss_G: -0.008760 Loss_D_real: 0.002745 Loss_D_fake 0.023136
[1637/5000][145/535][168974] Loss_D: -0.017307 Loss_G: 0.020704 Loss_D_real: -0.021567 Loss_D_fake -0.004260
[1637/5000][150/535][168975] Loss_D: -0.018909 Loss_G: 0.023377 Loss_D_real: -0.016423 Loss_D_fake 0.002486
[1637/5000][155/535][168976] Loss_D: -0.019195 Loss_G: 0.002168 Loss_D_real: -0.010273 Loss_D_fake 0.008922
[1637/5000][160/535][168977] Loss_D: -0.018293 Loss_G: 0.015999 Loss_D_real: -0.020899 Loss_D_fake -0.002607
[1637/5000][165/535][168978] Loss_D: -0.019887 Loss_G: 0.002345 Loss_D_real: -0.018841 Loss_D_fake 0.001046
[1637/5000][170/535][168979] Loss_D: -0.019410 Loss_G: -0.006380 Loss_D_real: -0.006722 Loss_D_fake 0.012688
[1637/5000][175/535][168980] Loss_D: -0.019200 Loss_G: 0.023813 Loss_D_real: -0.024655 Loss_D_fake -0.005455
[1637/5000][180/535][168981] Loss_D: -0.018201 Loss_G: 0.007534 Loss_D_real: -0.019315 Loss_D_fake -0.001113
[1637/5000][185/535][168982] Loss_D: -0.017673 Loss_G: -0.007240 Loss_D_real: -0.007712 Loss_D_fake 0.009961
[1637/5000][190/535][168983] Loss_D: -0.016805 Loss_G: 0.020762 Loss_D_real: -0.022959 Loss_D_fake -0.006155
[1637/5000][195/535][168984] Loss_D: -0.019625 Loss_G: 0.013282 Loss_D_real: -0.019618 Loss_D_fake 0.000008
[1637/5000][200/535][168985] Loss_D: -0.019851 Loss_G: 0.005804 Loss_D_real: -0.013762 Loss_D_fake 0.006089
[1637/5000][205/535][168986] Loss_D: -0.018901 Loss_G: -0.004901 Loss_D_real: 0.002337 Loss_D_fake 0.021238
[1637/5000][210/535][168987] Loss_D: -0.019661 Loss_G: 0.003816 Loss_D_real: -0.011160 Loss_D_fake 0.008501
[1637/5000][215/535][168988] Loss_D: -0.018891 Loss_G: -0.016248 Loss_D_real: -0.018001 Loss_D_fake 0.000890
[1637/5000][220/535][168989] Loss_D: -0.019244 Loss_G: 0.007113 Loss_D_real: -0.011697 Loss_D_fake 0.007547
[1637/5000][225/535][168990] Loss_D: -0.019010 Loss_G: 0.011344 Loss_D_real: -0.015802 Loss_D_fake 0.003208
[1637/5000][230/535][168991] Loss_D: -0.019437 Loss_G: 0.029398 Loss_D_real: -0.031019 Loss_D_fake -0.011582
[1637/5000][235/535][168992] Loss_D: -0.020437 Loss_G: 0.010610 Loss_D_real: -0.011657 Loss_D_fake 0.008780
[1637/5000][240/535][168993] Loss_D: -0.021331 Loss_G: 0.023506 Loss_D_real: -0.027113 Loss_D_fake -0.005782
[1637/5000][245/535][168994] Loss_D: -0.020653 Loss_G: 0.003121 Loss_D_real: -0.017814 Loss_D_fake 0.002838
[1637/5000][250/535][168995] Loss_D: -0.018841 Loss_G: 0.013639 Loss_D_real: -0.014647 Loss_D_fake 0.004193
[1637/5000][255/535][168996] Loss_D: -0.019641 Loss_G: 0.000667 Loss_D_real: -0.013172 Loss_D_fake 0.006469
[1637/5000][260/535][168997] Loss_D: -0.019131 Loss_G: 0.003427 Loss_D_real: -0.008473 Loss_D_fake 0.010659
[1637/5000][265/535][168998] Loss_D: -0.018403 Loss_G: 0.016737 Loss_D_real: -0.029942 Loss_D_fake -0.011539
[1637/5000][270/535][168999] Loss_D: -0.019889 Loss_G: -0.007765 Loss_D_real: -0.005217 Loss_D_fake 0.014671
[1637/5000][275/535][169000] Loss_D: -0.019169 Loss_G: 0.012628 Loss_D_real: -0.009855 Loss_D_fake 0.009313
[1637/5000][375/535][169001] Loss_D: -0.023583 Loss_G: -0.010342 Loss_D_real: -0.002516 Loss_D_fake 0.021067
[1637/5000][380/535][169002] Loss_D: -0.021039 Loss_G: 0.012969 Loss_D_real: -0.022661 Loss_D_fake -0.001623
[1637/5000][385/535][169003] Loss_D: -0.017698 Loss_G: 0.006477 Loss_D_real: -0.022958 Loss_D_fake -0.005260
[1637/5000][390/535][169004] Loss_D: -0.019566 Loss_G: 0.005948 Loss_D_real: -0.010764 Loss_D_fake 0.008802
[1637/5000][395/535][169005] Loss_D: -0.019011 Loss_G: 0.001043 Loss_D_real: -0.008294 Loss_D_fake 0.010717
[1637/5000][400/535][169006] Loss_D: -0.019177 Loss_G: -0.003693 Loss_D_real: -0.028317 Loss_D_fake -0.009140
[1637/5000][405/535][169007] Loss_D: -0.020011 Loss_G: -0.000608 Loss_D_real: -0.008570 Loss_D_fake 0.011441
[1637/5000][410/535][169008] Loss_D: -0.019184 Loss_G: 0.015028 Loss_D_real: -0.014684 Loss_D_fake 0.004500
[1637/5000][415/535][169009] Loss_D: -0.019284 Loss_G: 0.013312 Loss_D_real: -0.005761 Loss_D_fake 0.013524
[1637/5000][420/535][169010] Loss_D: -0.018029 Loss_G: -0.003573 Loss_D_real: -0.005769 Loss_D_fake 0.012260
[1637/5000][425/535][169011] Loss_D: -0.018164 Loss_G: 0.009921 Loss_D_real: -0.022506 Loss_D_fake -0.004342
[1637/5000][430/535][169012] Loss_D: -0.019162 Loss_G: -0.012858 Loss_D_real: -0.011413 Loss_D_fake 0.007749
[1637/5000][435/535][169013] Loss_D: -0.018597 Loss_G: 0.002895 Loss_D_real: -0.019589 Loss_D_fake -0.000992
[1637/5000][440/535][169014] Loss_D: -0.019008 Loss_G: -0.010474 Loss_D_real: -0.003744 Loss_D_fake 0.015264
[1637/5000][445/535][169015] Loss_D: -0.018524 Loss_G: -0.007833 Loss_D_real: -0.000723 Loss_D_fake 0.017802
[1637/5000][450/535][169016] Loss_D: -0.018853 Loss_G: 0.011712 Loss_D_real: -0.012392 Loss_D_fake 0.006461
[1637/5000][455/535][169017] Loss_D: -0.017640 Loss_G: -0.008351 Loss_D_real: 0.003425 Loss_D_fake 0.021065
[1637/5000][460/535][169018] Loss_D: -0.019031 Loss_G: 0.004706 Loss_D_real: -0.009807 Loss_D_fake 0.009224
[1637/5000][465/535][169019] Loss_D: -0.019276 Loss_G: -0.011279 Loss_D_real: -0.009230 Loss_D_fake 0.010045
[1637/5000][470/535][169020] Loss_D: -0.017908 Loss_G: -0.001266 Loss_D_real: -0.008991 Loss_D_fake 0.008917
[1637/5000][475/535][169021] Loss_D: -0.018968 Loss_G: 0.004574 Loss_D_real: -0.015136 Loss_D_fake 0.003832
[1637/5000][480/535][169022] Loss_D: -0.017507 Loss_G: -0.006489 Loss_D_real: 0.001158 Loss_D_fake 0.018666
[1637/5000][485/535][169023] Loss_D: -0.018445 Loss_G: 0.001913 Loss_D_real: -0.013808 Loss_D_fake 0.004638
[1637/5000][490/535][169024] Loss_D: -0.018252 Loss_G: 0.018705 Loss_D_real: -0.012529 Loss_D_fake 0.005723
[1637/5000][495/535][169025] Loss_D: -0.019648 Loss_G: 0.015085 Loss_D_real: -0.020278 Loss_D_fake -0.000630
[1637/5000][500/535][169026] Loss_D: -0.017982 Loss_G: 0.010884 Loss_D_real: -0.015153 Loss_D_fake 0.002829
[1637/5000][505/535][169027] Loss_D: -0.019829 Loss_G: 0.003402 Loss_D_real: -0.021150 Loss_D_fake -0.001321
[1637/5000][510/535][169028] Loss_D: -0.019197 Loss_G: -0.007082 Loss_D_real: -0.014166 Loss_D_fake 0.005031
[1637/5000][515/535][169029] Loss_D: -0.020329 Loss_G: 0.006281 Loss_D_real: -0.003784 Loss_D_fake 0.016545
[1637/5000][520/535][169030] Loss_D: -0.018151 Loss_G: -0.004516 Loss_D_real: -0.011403 Loss_D_fake 0.006747
[1637/5000][525/535][169031] Loss_D: -0.019679 Loss_G: -0.007201 Loss_D_real: -0.007037 Loss_D_fake 0.012643
[1637/5000][530/535][169032] Loss_D: -0.019993 Loss_G: -0.012092 Loss_D_real: -0.004493 Loss_D_fake 0.015500
[1637/5000][535/535][169033] Loss_D: -0.017188 Loss_G: 0.028844 Loss_D_real: -0.007941 Loss_D_fake 0.009248
[1638/5000][5/535][169034] Loss_D: -0.018299 Loss_G: 0.005114 Loss_D_real: -0.021071 Loss_D_fake -0.002772
[1638/5000][10/535][169035] Loss_D: -0.019997 Loss_G: -0.016640 Loss_D_real: -0.007082 Loss_D_fake 0.012915
[1638/5000][15/535][169036] Loss_D: -0.019058 Loss_G: 0.024090 Loss_D_real: -0.014832 Loss_D_fake 0.004226
[1638/5000][20/535][169037] Loss_D: -0.019911 Loss_G: 0.012954 Loss_D_real: -0.006402 Loss_D_fake 0.013509
[1638/5000][25/535][169038] Loss_D: -0.018675 Loss_G: -0.001838 Loss_D_real: -0.006732 Loss_D_fake 0.011943
[1638/5000][30/535][169039] Loss_D: -0.018995 Loss_G: 0.014717 Loss_D_real: -0.018100 Loss_D_fake 0.000895
[1638/5000][35/535][169040] Loss_D: -0.018438 Loss_G: 0.004979 Loss_D_real: -0.030834 Loss_D_fake -0.012396
[1638/5000][40/535][169041] Loss_D: -0.018942 Loss_G: 0.005376 Loss_D_real: -0.008267 Loss_D_fake 0.010675
[1638/5000][45/535][169042] Loss_D: -0.019055 Loss_G: 0.014744 Loss_D_real: -0.019809 Loss_D_fake -0.000754
[1638/5000][50/535][169043] Loss_D: -0.019360 Loss_G: -0.003135 Loss_D_real: -0.024598 Loss_D_fake -0.005238
[1638/5000][55/535][169044] Loss_D: -0.019003 Loss_G: -0.010513 Loss_D_real: 0.004928 Loss_D_fake 0.023930
[1638/5000][60/535][169045] Loss_D: -0.017959 Loss_G: 0.005629 Loss_D_real: -0.031056 Loss_D_fake -0.013097
[1638/5000][65/535][169046] Loss_D: -0.019246 Loss_G: 0.009316 Loss_D_real: -0.008936 Loss_D_fake 0.010310
[1638/5000][70/535][169047] Loss_D: -0.018084 Loss_G: 0.022294 Loss_D_real: -0.017808 Loss_D_fake 0.000276
[1638/5000][75/535][169048] Loss_D: -0.018896 Loss_G: 0.024933 Loss_D_real: -0.033484 Loss_D_fake -0.014589
[1638/5000][80/535][169049] Loss_D: -0.019170 Loss_G: 0.016471 Loss_D_real: -0.022204 Loss_D_fake -0.003033
[1638/5000][85/535][169050] Loss_D: -0.018358 Loss_G: 0.018451 Loss_D_real: -0.026412 Loss_D_fake -0.008054
[1638/5000][90/535][169051] Loss_D: -0.017236 Loss_G: 0.018440 Loss_D_real: -0.013687 Loss_D_fake 0.003549
[1638/5000][95/535][169052] Loss_D: -0.018350 Loss_G: -0.001350 Loss_D_real: -0.021950 Loss_D_fake -0.003600
[1638/5000][100/535][169053] Loss_D: -0.018523 Loss_G: -0.005530 Loss_D_real: -0.010053 Loss_D_fake 0.008469
[1638/5000][105/535][169054] Loss_D: -0.020266 Loss_G: 0.016626 Loss_D_real: -0.021887 Loss_D_fake -0.001621
[1638/5000][110/535][169055] Loss_D: -0.018277 Loss_G: 0.018457 Loss_D_real: -0.018568 Loss_D_fake -0.000291
[1638/5000][115/535][169056] Loss_D: -0.019496 Loss_G: 0.000182 Loss_D_real: -0.006920 Loss_D_fake 0.012575
[1638/5000][120/535][169057] Loss_D: -0.017181 Loss_G: 0.020737 Loss_D_real: -0.025184 Loss_D_fake -0.008003
[1638/5000][125/535][169058] Loss_D: -0.019329 Loss_G: 0.010446 Loss_D_real: -0.018734 Loss_D_fake 0.000595
[1638/5000][130/535][169059] Loss_D: -0.020265 Loss_G: 0.023508 Loss_D_real: -0.026571 Loss_D_fake -0.006305
[1638/5000][135/535][169060] Loss_D: -0.019096 Loss_G: 0.021257 Loss_D_real: -0.034693 Loss_D_fake -0.015598
[1638/5000][140/535][169061] Loss_D: -0.019165 Loss_G: 0.013353 Loss_D_real: -0.016677 Loss_D_fake 0.002488
[1638/5000][145/535][169062] Loss_D: -0.019543 Loss_G: 0.010471 Loss_D_real: -0.012641 Loss_D_fake 0.006902
[1638/5000][150/535][169063] Loss_D: -0.018950 Loss_G: 0.013587 Loss_D_real: -0.028534 Loss_D_fake -0.009583
[1638/5000][155/535][169064] Loss_D: -0.019546 Loss_G: 0.009168 Loss_D_real: -0.025653 Loss_D_fake -0.006107
[1638/5000][160/535][169065] Loss_D: -0.019231 Loss_G: 0.005664 Loss_D_real: -0.019353 Loss_D_fake -0.000122
[1638/5000][165/535][169066] Loss_D: -0.017804 Loss_G: -0.015261 Loss_D_real: -0.001516 Loss_D_fake 0.016288
[1638/5000][170/535][169067] Loss_D: -0.018541 Loss_G: 0.003740 Loss_D_real: -0.021626 Loss_D_fake -0.003085
[1638/5000][175/535][169068] Loss_D: -0.018874 Loss_G: 0.000602 Loss_D_real: -0.010080 Loss_D_fake 0.008794
[1638/5000][180/535][169069] Loss_D: -0.019041 Loss_G: 0.020587 Loss_D_real: -0.010733 Loss_D_fake 0.008309
[1638/5000][185/535][169070] Loss_D: -0.018071 Loss_G: 0.002166 Loss_D_real: -0.026820 Loss_D_fake -0.008749
[1638/5000][190/535][169071] Loss_D: -0.018796 Loss_G: 0.017706 Loss_D_real: -0.029798 Loss_D_fake -0.011002
[1638/5000][195/535][169072] Loss_D: -0.019350 Loss_G: 0.003465 Loss_D_real: -0.020707 Loss_D_fake -0.001357
[1638/5000][200/535][169073] Loss_D: -0.019840 Loss_G: 0.016680 Loss_D_real: -0.030927 Loss_D_fake -0.011087
[1638/5000][205/535][169074] Loss_D: -0.020342 Loss_G: -0.003408 Loss_D_real: -0.018404 Loss_D_fake 0.001938
[1638/5000][210/535][169075] Loss_D: -0.018341 Loss_G: 0.012830 Loss_D_real: -0.019077 Loss_D_fake -0.000736
[1638/5000][215/535][169076] Loss_D: -0.019016 Loss_G: 0.018599 Loss_D_real: -0.025891 Loss_D_fake -0.006875
[1638/5000][220/535][169077] Loss_D: -0.019384 Loss_G: -0.007868 Loss_D_real: -0.004665 Loss_D_fake 0.014720
[1638/5000][225/535][169078] Loss_D: -0.018599 Loss_G: 0.002878 Loss_D_real: -0.011298 Loss_D_fake 0.007301
[1638/5000][230/535][169079] Loss_D: -0.019299 Loss_G: 0.009413 Loss_D_real: -0.009951 Loss_D_fake 0.009349
[1638/5000][235/535][169080] Loss_D: -0.020534 Loss_G: 0.007368 Loss_D_real: -0.000705 Loss_D_fake 0.019829
[1638/5000][240/535][169081] Loss_D: -0.019939 Loss_G: -0.004316 Loss_D_real: -0.011781 Loss_D_fake 0.008158
[1638/5000][245/535][169082] Loss_D: -0.019533 Loss_G: -0.008774 Loss_D_real: -0.019127 Loss_D_fake 0.000405
[1638/5000][250/535][169083] Loss_D: -0.020149 Loss_G: -0.003885 Loss_D_real: -0.012029 Loss_D_fake 0.008121
[1638/5000][255/535][169084] Loss_D: -0.019036 Loss_G: 0.012828 Loss_D_real: -0.018602 Loss_D_fake 0.000435
[1638/5000][260/535][169085] Loss_D: -0.018036 Loss_G: -0.014789 Loss_D_real: -0.002038 Loss_D_fake 0.015998
[1638/5000][265/535][169086] Loss_D: -0.019266 Loss_G: 0.003134 Loss_D_real: -0.002469 Loss_D_fake 0.016797
[1638/5000][270/535][169087] Loss_D: -0.019697 Loss_G: 0.015962 Loss_D_real: -0.008043 Loss_D_fake 0.011654
[1638/5000][275/535][169088] Loss_D: -0.018855 Loss_G: 0.029116 Loss_D_real: -0.023760 Loss_D_fake -0.004905
[1638/5000][280/535][169089] Loss_D: -0.019222 Loss_G: -0.000077 Loss_D_real: -0.015467 Loss_D_fake 0.003754
[1638/5000][285/535][169090] Loss_D: -0.018883 Loss_G: 0.015752 Loss_D_real: -0.010455 Loss_D_fake 0.008428
[1638/5000][290/535][169091] Loss_D: -0.019398 Loss_G: 0.000724 Loss_D_real: -0.026221 Loss_D_fake -0.006823
[1638/5000][295/535][169092] Loss_D: -0.020164 Loss_G: 0.014972 Loss_D_real: -0.021308 Loss_D_fake -0.001144
[1638/5000][300/535][169093] Loss_D: -0.019189 Loss_G: 0.004542 Loss_D_real: -0.017710 Loss_D_fake 0.001479
[1638/5000][305/535][169094] Loss_D: -0.019559 Loss_G: 0.008718 Loss_D_real: -0.016448 Loss_D_fake 0.003111
[1638/5000][310/535][169095] Loss_D: -0.019764 Loss_G: -0.015284 Loss_D_real: -0.009788 Loss_D_fake 0.009976
[1638/5000][315/535][169096] Loss_D: -0.018525 Loss_G: 0.009975 Loss_D_real: -0.013526 Loss_D_fake 0.004999
[1638/5000][320/535][169097] Loss_D: -0.020701 Loss_G: -0.002864 Loss_D_real: -0.013475 Loss_D_fake 0.007226
[1638/5000][325/535][169098] Loss_D: -0.021040 Loss_G: -0.005430 Loss_D_real: -0.013339 Loss_D_fake 0.007701
[1638/5000][330/535][169099] Loss_D: -0.020062 Loss_G: 0.016011 Loss_D_real: -0.017098 Loss_D_fake 0.002965
[1638/5000][335/535][169100] Loss_D: -0.019402 Loss_G: -0.004575 Loss_D_real: -0.004945 Loss_D_fake 0.014457
[1638/5000][340/535][169101] Loss_D: -0.019276 Loss_G: 0.023360 Loss_D_real: -0.017330 Loss_D_fake 0.001947
[1638/5000][345/535][169102] Loss_D: -0.018761 Loss_G: -0.006831 Loss_D_real: -0.002387 Loss_D_fake 0.016374
[1638/5000][350/535][169103] Loss_D: -0.019047 Loss_G: 0.001056 Loss_D_real: -0.012927 Loss_D_fake 0.006120
[1638/5000][355/535][169104] Loss_D: -0.019662 Loss_G: 0.005572 Loss_D_real: -0.009483 Loss_D_fake 0.010179
[1638/5000][360/535][169105] Loss_D: -0.018453 Loss_G: -0.007245 Loss_D_real: -0.010716 Loss_D_fake 0.007738
[1638/5000][365/535][169106] Loss_D: -0.017867 Loss_G: 0.004654 Loss_D_real: -0.024140 Loss_D_fake -0.006274
[1638/5000][370/535][169107] Loss_D: -0.017657 Loss_G: 0.018751 Loss_D_real: -0.017429 Loss_D_fake 0.000228
[1638/5000][375/535][169108] Loss_D: -0.019914 Loss_G: 0.010945 Loss_D_real: -0.020961 Loss_D_fake -0.001048
[1638/5000][380/535][169109] Loss_D: -0.018510 Loss_G: 0.018380 Loss_D_real: -0.025355 Loss_D_fake -0.006845
[1638/5000][385/535][169110] Loss_D: -0.018426 Loss_G: -0.007372 Loss_D_real: -0.002163 Loss_D_fake 0.016263
[1638/5000][390/535][169111] Loss_D: -0.017797 Loss_G: 0.014784 Loss_D_real: -0.018182 Loss_D_fake -0.000384
[1638/5000][395/535][169112] Loss_D: -0.017940 Loss_G: 0.028521 Loss_D_real: -0.017869 Loss_D_fake 0.000071
[1638/5000][400/535][169113] Loss_D: -0.018511 Loss_G: 0.016093 Loss_D_real: -0.013975 Loss_D_fake 0.004536
[1638/5000][405/535][169114] Loss_D: -0.017662 Loss_G: -0.024195 Loss_D_real: 0.005298 Loss_D_fake 0.022960
[1638/5000][410/535][169115] Loss_D: -0.018651 Loss_G: 0.010405 Loss_D_real: -0.017572 Loss_D_fake 0.001078
[1638/5000][415/535][169116] Loss_D: -0.017420 Loss_G: 0.006193 Loss_D_real: 0.000771 Loss_D_fake 0.018191
[1638/5000][420/535][169117] Loss_D: -0.018683 Loss_G: 0.012272 Loss_D_real: -0.009443 Loss_D_fake 0.009240
[1638/5000][425/535][169118] Loss_D: -0.018672 Loss_G: 0.020078 Loss_D_real: -0.020986 Loss_D_fake -0.002314
[1638/5000][430/535][169119] Loss_D: -0.018467 Loss_G: 0.001955 Loss_D_real: -0.017720 Loss_D_fake 0.000747
[1638/5000][435/535][169120] Loss_D: -0.019329 Loss_G: 0.011540 Loss_D_real: -0.021034 Loss_D_fake -0.001705
[1638/5000][440/535][169121] Loss_D: -0.021052 Loss_G: 0.000629 Loss_D_real: -0.009031 Loss_D_fake 0.012021
[1638/5000][445/535][169122] Loss_D: -0.018973 Loss_G: 0.001603 Loss_D_real: -0.008983 Loss_D_fake 0.009990
[1638/5000][450/535][169123] Loss_D: -0.018506 Loss_G: 0.022021 Loss_D_real: -0.026736 Loss_D_fake -0.008231
[1638/5000][455/535][169124] Loss_D: -0.020311 Loss_G: 0.001363 Loss_D_real: -0.014063 Loss_D_fake 0.006248
[1638/5000][460/535][169125] Loss_D: -0.020199 Loss_G: 0.003305 Loss_D_real: -0.017496 Loss_D_fake 0.002703
[1638/5000][465/535][169126] Loss_D: -0.019026 Loss_G: -0.005012 Loss_D_real: -0.013714 Loss_D_fake 0.005312
[1638/5000][470/535][169127] Loss_D: -0.018267 Loss_G: -0.005420 Loss_D_real: -0.021747 Loss_D_fake -0.003481
[1638/5000][475/535][169128] Loss_D: -0.021265 Loss_G: 0.004838 Loss_D_real: -0.012260 Loss_D_fake 0.009006
[1638/5000][480/535][169129] Loss_D: -0.019178 Loss_G: -0.006803 Loss_D_real: -0.013498 Loss_D_fake 0.005680
[1638/5000][485/535][169130] Loss_D: -0.019457 Loss_G: 0.002586 Loss_D_real: -0.019119 Loss_D_fake 0.000338
[1638/5000][490/535][169131] Loss_D: -0.020875 Loss_G: -0.003853 Loss_D_real: -0.013538 Loss_D_fake 0.007336
[1638/5000][495/535][169132] Loss_D: -0.018949 Loss_G: 0.017338 Loss_D_real: -0.014740 Loss_D_fake 0.004210
[1638/5000][500/535][169133] Loss_D: -0.018819 Loss_G: -0.007667 Loss_D_real: -0.006041 Loss_D_fake 0.012777
[1638/5000][505/535][169134] Loss_D: -0.018515 Loss_G: 0.008215 Loss_D_real: -0.016714 Loss_D_fake 0.001801
[1638/5000][510/535][169135] Loss_D: -0.019481 Loss_G: 0.005413 Loss_D_real: -0.020042 Loss_D_fake -0.000562
[1638/5000][515/535][169136] Loss_D: -0.019680 Loss_G: -0.004402 Loss_D_real: -0.005642 Loss_D_fake 0.014038
[1638/5000][520/535][169137] Loss_D: -0.019962 Loss_G: 0.003734 Loss_D_real: -0.006687 Loss_D_fake 0.013275
[1638/5000][525/535][169138] Loss_D: -0.018991 Loss_G: -0.002062 Loss_D_real: -0.008233 Loss_D_fake 0.010758
[1638/5000][530/535][169139] Loss_D: -0.019426 Loss_G: -0.002499 Loss_D_real: -0.009768 Loss_D_fake 0.009658
[1638/5000][535/535][169140] Loss_D: -0.018266 Loss_G: 0.027176 Loss_D_real: -0.016510 Loss_D_fake 0.001756
[1639/5000][5/535][169141] Loss_D: -0.018290 Loss_G: 0.019367 Loss_D_real: -0.029359 Loss_D_fake -0.011069
[1639/5000][10/535][169142] Loss_D: -0.018786 Loss_G: 0.003023 Loss_D_real: -0.018199 Loss_D_fake 0.000587
[1639/5000][15/535][169143] Loss_D: -0.019867 Loss_G: 0.012155 Loss_D_real: -0.013788 Loss_D_fake 0.006079
[1639/5000][20/535][169144] Loss_D: -0.020134 Loss_G: -0.001243 Loss_D_real: -0.012956 Loss_D_fake 0.007178
[1639/5000][25/535][169145] Loss_D: -0.019562 Loss_G: -0.007158 Loss_D_real: -0.018002 Loss_D_fake 0.001560
[1639/5000][30/535][169146] Loss_D: -0.019001 Loss_G: 0.015803 Loss_D_real: -0.022548 Loss_D_fake -0.003547
[1639/5000][35/535][169147] Loss_D: -0.019309 Loss_G: 0.001725 Loss_D_real: -0.010081 Loss_D_fake 0.009227
[1639/5000][40/535][169148] Loss_D: -0.018611 Loss_G: -0.000645 Loss_D_real: -0.006224 Loss_D_fake 0.012386
[1639/5000][45/535][169149] Loss_D: -0.019063 Loss_G: 0.009304 Loss_D_real: -0.007580 Loss_D_fake 0.011483
[1639/5000][50/535][169150] Loss_D: -0.018657 Loss_G: 0.016516 Loss_D_real: -0.022318 Loss_D_fake -0.003661
[1639/5000][55/535][169151] Loss_D: -0.019732 Loss_G: 0.016327 Loss_D_real: -0.016996 Loss_D_fake 0.002736
[1639/5000][60/535][169152] Loss_D: -0.019045 Loss_G: -0.002301 Loss_D_real: -0.021674 Loss_D_fake -0.002629
[1639/5000][65/535][169153] Loss_D: -0.019269 Loss_G: -0.005545 Loss_D_real: -0.019805 Loss_D_fake -0.000535
[1639/5000][70/535][169154] Loss_D: -0.020550 Loss_G: 0.007706 Loss_D_real: -0.009020 Loss_D_fake 0.011530
[1639/5000][75/535][169155] Loss_D: -0.019197 Loss_G: 0.001467 Loss_D_real: -0.009763 Loss_D_fake 0.009434
[1639/5000][80/535][169156] Loss_D: -0.019965 Loss_G: 0.010921 Loss_D_real: -0.011030 Loss_D_fake 0.008934
[1639/5000][85/535][169157] Loss_D: -0.019393 Loss_G: -0.000336 Loss_D_real: -0.016175 Loss_D_fake 0.003218
[1639/5000][90/535][169158] Loss_D: -0.017700 Loss_G: 0.020934 Loss_D_real: -0.038388 Loss_D_fake -0.020689
[1639/5000][95/535][169159] Loss_D: -0.017430 Loss_G: -0.006424 Loss_D_real: 0.001404 Loss_D_fake 0.018834
[1639/5000][100/535][169160] Loss_D: -0.016815 Loss_G: 0.031091 Loss_D_real: -0.020473 Loss_D_fake -0.003657
[1639/5000][105/535][169161] Loss_D: -0.019389 Loss_G: -0.004552 Loss_D_real: -0.007587 Loss_D_fake 0.011802
[1639/5000][110/535][169162] Loss_D: -0.019201 Loss_G: -0.013996 Loss_D_real: 0.004192 Loss_D_fake 0.023393
[1639/5000][115/535][169163] Loss_D: -0.020323 Loss_G: 0.007244 Loss_D_real: -0.004711 Loss_D_fake 0.015612
[1639/5000][120/535][169164] Loss_D: -0.020175 Loss_G: -0.007580 Loss_D_real: -0.002356 Loss_D_fake 0.017818
[1639/5000][125/535][169165] Loss_D: -0.020004 Loss_G: 0.011376 Loss_D_real: -0.010873 Loss_D_fake 0.009131
[1639/5000][130/535][169166] Loss_D: -0.018760 Loss_G: -0.015738 Loss_D_real: -0.002004 Loss_D_fake 0.016756
[1639/5000][135/535][169167] Loss_D: -0.018276 Loss_G: 0.008639 Loss_D_real: -0.013980 Loss_D_fake 0.004296
[1639/5000][140/535][169168] Loss_D: -0.020068 Loss_G: -0.006352 Loss_D_real: -0.013614 Loss_D_fake 0.006454
[1639/5000][145/535][169169] Loss_D: -0.020163 Loss_G: -0.004307 Loss_D_real: -0.001873 Loss_D_fake 0.018290
[1639/5000][150/535][169170] Loss_D: -0.019307 Loss_G: 0.005174 Loss_D_real: -0.021326 Loss_D_fake -0.002019
[1639/5000][155/535][169171] Loss_D: -0.020918 Loss_G: 0.015083 Loss_D_real: -0.007675 Loss_D_fake 0.013243
[1639/5000][160/535][169172] Loss_D: -0.019736 Loss_G: 0.004227 Loss_D_real: -0.027082 Loss_D_fake -0.007345
[1639/5000][165/535][169173] Loss_D: -0.019215 Loss_G: -0.002716 Loss_D_real: -0.000301 Loss_D_fake 0.018913
[1639/5000][170/535][169174] Loss_D: -0.020599 Loss_G: 0.007393 Loss_D_real: -0.007032 Loss_D_fake 0.013567
[1639/5000][175/535][169175] Loss_D: -0.018269 Loss_G: 0.020549 Loss_D_real: -0.016995 Loss_D_fake 0.001274
[1639/5000][180/535][169176] Loss_D: -0.019022 Loss_G: 0.000151 Loss_D_real: -0.014480 Loss_D_fake 0.004542
[1639/5000][185/535][169177] Loss_D: -0.019796 Loss_G: -0.002144 Loss_D_real: -0.015843 Loss_D_fake 0.003953
[1639/5000][190/535][169178] Loss_D: -0.019029 Loss_G: -0.004065 Loss_D_real: -0.007072 Loss_D_fake 0.011958
[1639/5000][195/535][169179] Loss_D: -0.019051 Loss_G: 0.020520 Loss_D_real: -0.020906 Loss_D_fake -0.001855
[1639/5000][200/535][169180] Loss_D: -0.019026 Loss_G: -0.007387 Loss_D_real: -0.010056 Loss_D_fake 0.008970
[1639/5000][205/535][169181] Loss_D: -0.018874 Loss_G: 0.006546 Loss_D_real: -0.004365 Loss_D_fake 0.014509
[1639/5000][210/535][169182] Loss_D: -0.017841 Loss_G: 0.011808 Loss_D_real: -0.025076 Loss_D_fake -0.007235
[1639/5000][215/535][169183] Loss_D: -0.019668 Loss_G: -0.010030 Loss_D_real: -0.009094 Loss_D_fake 0.010574
[1639/5000][220/535][169184] Loss_D: -0.018642 Loss_G: 0.022147 Loss_D_real: -0.016828 Loss_D_fake 0.001814
[1639/5000][225/535][169185] Loss_D: -0.019189 Loss_G: -0.021533 Loss_D_real: -0.005588 Loss_D_fake 0.013601
[1639/5000][230/535][169186] Loss_D: -0.019341 Loss_G: 0.019489 Loss_D_real: -0.024112 Loss_D_fake -0.004771
[1639/5000][235/535][169187] Loss_D: -0.018154 Loss_G: 0.014770 Loss_D_real: -0.021905 Loss_D_fake -0.003751
[1639/5000][240/535][169188] Loss_D: -0.019725 Loss_G: 0.012176 Loss_D_real: -0.023274 Loss_D_fake -0.003549
[1639/5000][245/535][169189] Loss_D: -0.018891 Loss_G: -0.010004 Loss_D_real: -0.004096 Loss_D_fake 0.014795
[1639/5000][250/535][169190] Loss_D: -0.019967 Loss_G: 0.015160 Loss_D_real: -0.011874 Loss_D_fake 0.008093
[1639/5000][255/535][169191] Loss_D: -0.019102 Loss_G: 0.011347 Loss_D_real: -0.025322 Loss_D_fake -0.006220
[1639/5000][260/535][169192] Loss_D: -0.018949 Loss_G: -0.014557 Loss_D_real: 0.001188 Loss_D_fake 0.020137
[1639/5000][265/535][169193] Loss_D: -0.019900 Loss_G: 0.014328 Loss_D_real: -0.014178 Loss_D_fake 0.005722
[1639/5000][270/535][169194] Loss_D: -0.018919 Loss_G: 0.003597 Loss_D_real: -0.002873 Loss_D_fake 0.016046
[1639/5000][275/535][169195] Loss_D: -0.019180 Loss_G: 0.002124 Loss_D_real: -0.028401 Loss_D_fake -0.009221
[1639/5000][280/535][169196] Loss_D: -0.018102 Loss_G: 0.019155 Loss_D_real: -0.025080 Loss_D_fake -0.006978
[1639/5000][285/535][169197] Loss_D: -0.018918 Loss_G: 0.007442 Loss_D_real: -0.018578 Loss_D_fake 0.000340
[1639/5000][290/535][169198] Loss_D: -0.018522 Loss_G: 0.006709 Loss_D_real: -0.025838 Loss_D_fake -0.007315
[1639/5000][295/535][169199] Loss_D: -0.020518 Loss_G: 0.020333 Loss_D_real: -0.024744 Loss_D_fake -0.004226
[1639/5000][300/535][169200] Loss_D: -0.020054 Loss_G: 0.004886 Loss_D_real: -0.015219 Loss_D_fake 0.004835
[1639/5000][305/535][169201] Loss_D: -0.020449 Loss_G: 0.009166 Loss_D_real: -0.013107 Loss_D_fake 0.007342
[1639/5000][310/535][169202] Loss_D: -0.019815 Loss_G: 0.000082 Loss_D_real: -0.014615 Loss_D_fake 0.005200
[1639/5000][315/535][169203] Loss_D: -0.018268 Loss_G: 0.023644 Loss_D_real: -0.029205 Loss_D_fake -0.010937
[1639/5000][320/535][169204] Loss_D: -0.017158 Loss_G: 0.019342 Loss_D_real: -0.031060 Loss_D_fake -0.013902
[1639/5000][325/535][169205] Loss_D: -0.019941 Loss_G: 0.020211 Loss_D_real: -0.017677 Loss_D_fake 0.002265
[1639/5000][330/535][169206] Loss_D: -0.020539 Loss_G: -0.001907 Loss_D_real: -0.012712 Loss_D_fake 0.007827
[1639/5000][335/535][169207] Loss_D: -0.020318 Loss_G: 0.015628 Loss_D_real: -0.019496 Loss_D_fake 0.000821
[1639/5000][340/535][169208] Loss_D: -0.020487 Loss_G: -0.010542 Loss_D_real: -0.004051 Loss_D_fake 0.016436
[1639/5000][345/535][169209] Loss_D: -0.019626 Loss_G: 0.002195 Loss_D_real: -0.006124 Loss_D_fake 0.013502
[1639/5000][350/535][169210] Loss_D: -0.019117 Loss_G: 0.002539 Loss_D_real: -0.019122 Loss_D_fake -0.000005
[1639/5000][355/535][169211] Loss_D: -0.018683 Loss_G: -0.007520 Loss_D_real: -0.003709 Loss_D_fake 0.014975
[1639/5000][360/535][169212] Loss_D: -0.019100 Loss_G: 0.001290 Loss_D_real: -0.013032 Loss_D_fake 0.006069
[1639/5000][365/535][169213] Loss_D: -0.019183 Loss_G: 0.007833 Loss_D_real: -0.024943 Loss_D_fake -0.005760
[1639/5000][370/535][169214] Loss_D: -0.018691 Loss_G: 0.003402 Loss_D_real: -0.010459 Loss_D_fake 0.008232
[1639/5000][375/535][169215] Loss_D: -0.017752 Loss_G: -0.008680 Loss_D_real: -0.008845 Loss_D_fake 0.008907
[1639/5000][380/535][169216] Loss_D: -0.016711 Loss_G: 0.015122 Loss_D_real: -0.021758 Loss_D_fake -0.005047
[1639/5000][385/535][169217] Loss_D: -0.017936 Loss_G: -0.009451 Loss_D_real: -0.020763 Loss_D_fake -0.002827
[1639/5000][390/535][169218] Loss_D: -0.017642 Loss_G: 0.021887 Loss_D_real: -0.016673 Loss_D_fake 0.000970
[1639/5000][395/535][169219] Loss_D: -0.019543 Loss_G: 0.004718 Loss_D_real: -0.005718 Loss_D_fake 0.013825
[1639/5000][400/535][169220] Loss_D: -0.018832 Loss_G: 0.016695 Loss_D_real: -0.029301 Loss_D_fake -0.010469
[1639/5000][405/535][169221] Loss_D: -0.020190 Loss_G: 0.016218 Loss_D_real: -0.019997 Loss_D_fake 0.000193
[1639/5000][410/535][169222] Loss_D: -0.019099 Loss_G: 0.015397 Loss_D_real: -0.014526 Loss_D_fake 0.004572
[1639/5000][415/535][169223] Loss_D: -0.018812 Loss_G: 0.001457 Loss_D_real: -0.002452 Loss_D_fake 0.016360
[1639/5000][420/535][169224] Loss_D: -0.018558 Loss_G: 0.024688 Loss_D_real: -0.021616 Loss_D_fake -0.003058
[1639/5000][425/535][169225] Loss_D: -0.018143 Loss_G: -0.000914 Loss_D_real: -0.012239 Loss_D_fake 0.005904
[1639/5000][430/535][169226] Loss_D: -0.019488 Loss_G: 0.005316 Loss_D_real: -0.023069 Loss_D_fake -0.003581
[1639/5000][435/535][169227] Loss_D: -0.018584 Loss_G: 0.021864 Loss_D_real: -0.021607 Loss_D_fake -0.003022
[1639/5000][440/535][169228] Loss_D: -0.017919 Loss_G: -0.014477 Loss_D_real: 0.006292 Loss_D_fake 0.024211
[1639/5000][445/535][169229] Loss_D: -0.018711 Loss_G: 0.004452 Loss_D_real: -0.004102 Loss_D_fake 0.014610
[1639/5000][450/535][169230] Loss_D: -0.018771 Loss_G: 0.022333 Loss_D_real: -0.022117 Loss_D_fake -0.003346
[1639/5000][455/535][169231] Loss_D: -0.020826 Loss_G: 0.012033 Loss_D_real: -0.009367 Loss_D_fake 0.011459
[1639/5000][460/535][169232] Loss_D: -0.019344 Loss_G: 0.018830 Loss_D_real: -0.032138 Loss_D_fake -0.012795
[1639/5000][465/535][169233] Loss_D: -0.019591 Loss_G: -0.008814 Loss_D_real: -0.013432 Loss_D_fake 0.006159
[1639/5000][470/535][169234] Loss_D: -0.018106 Loss_G: 0.022518 Loss_D_real: -0.015023 Loss_D_fake 0.003082
[1639/5000][475/535][169235] Loss_D: -0.018772 Loss_G: 0.005849 Loss_D_real: -0.014042 Loss_D_fake 0.004731
[1639/5000][480/535][169236] Loss_D: -0.018866 Loss_G: -0.009140 Loss_D_real: -0.002167 Loss_D_fake 0.016699
[1639/5000][485/535][169237] Loss_D: -0.019998 Loss_G: 0.000210 Loss_D_real: -0.003751 Loss_D_fake 0.016247
[1639/5000][490/535][169238] Loss_D: -0.018024 Loss_G: 0.006045 Loss_D_real: -0.016121 Loss_D_fake 0.001903
[1639/5000][495/535][169239] Loss_D: -0.018821 Loss_G: 0.007315 Loss_D_real: -0.017958 Loss_D_fake 0.000863
[1639/5000][500/535][169240] Loss_D: -0.018389 Loss_G: 0.005336 Loss_D_real: -0.015933 Loss_D_fake 0.002455
[1639/5000][505/535][169241] Loss_D: -0.018173 Loss_G: -0.010983 Loss_D_real: -0.002710 Loss_D_fake 0.015463
[1639/5000][510/535][169242] Loss_D: -0.019439 Loss_G: -0.001820 Loss_D_real: -0.010999 Loss_D_fake 0.008439
[1639/5000][515/535][169243] Loss_D: -0.021176 Loss_G: 0.007606 Loss_D_real: -0.016569 Loss_D_fake 0.004607
[1639/5000][520/535][169244] Loss_D: -0.020584 Loss_G: 0.019479 Loss_D_real: -0.009920 Loss_D_fake 0.010664
[1639/5000][525/535][169245] Loss_D: -0.018990 Loss_G: 0.014626 Loss_D_real: -0.015975 Loss_D_fake 0.003015
[1639/5000][530/535][169246] Loss_D: -0.020299 Loss_G: 0.014561 Loss_D_real: -0.029643 Loss_D_fake -0.009344
[1639/5000][535/535][169247] Loss_D: -0.019794 Loss_G: 0.000263 Loss_D_real: -0.023687 Loss_D_fake -0.003892
[1640/5000][5/535][169248] Loss_D: -0.018273 Loss_G: 0.001486 Loss_D_real: -0.011923 Loss_D_fake 0.006350
[1640/5000][10/535][169249] Loss_D: -0.020324 Loss_G: -0.006408 Loss_D_real: -0.008718 Loss_D_fake 0.011606
[1640/5000][15/535][169250] Loss_D: -0.019340 Loss_G: 0.025419 Loss_D_real: -0.021990 Loss_D_fake -0.002651
[1640/5000][20/535][169251] Loss_D: -0.017648 Loss_G: -0.016509 Loss_D_real: 0.005105 Loss_D_fake 0.022753
[1640/5000][25/535][169252] Loss_D: -0.018278 Loss_G: 0.021918 Loss_D_real: -0.019024 Loss_D_fake -0.000746
[1640/5000][30/535][169253] Loss_D: -0.018386 Loss_G: -0.005990 Loss_D_real: -0.016744 Loss_D_fake 0.001641
[1640/5000][35/535][169254] Loss_D: -0.018692 Loss_G: 0.007135 Loss_D_real: -0.029461 Loss_D_fake -0.010769
[1640/5000][40/535][169255] Loss_D: -0.018908 Loss_G: -0.001229 Loss_D_real: -0.004382 Loss_D_fake 0.014526
[1640/5000][45/535][169256] Loss_D: -0.020080 Loss_G: 0.007736 Loss_D_real: -0.012397 Loss_D_fake 0.007683
[1640/5000][50/535][169257] Loss_D: -0.019396 Loss_G: 0.020038 Loss_D_real: -0.010725 Loss_D_fake 0.008671
[1640/5000][55/535][169258] Loss_D: -0.019218 Loss_G: 0.007074 Loss_D_real: -0.014422 Loss_D_fake 0.004796
[1640/5000][60/535][169259] Loss_D: -0.019649 Loss_G: 0.015871 Loss_D_real: -0.020678 Loss_D_fake -0.001030
[1640/5000][65/535][169260] Loss_D: -0.018443 Loss_G: 0.011163 Loss_D_real: -0.019941 Loss_D_fake -0.001498
[1640/5000][70/535][169261] Loss_D: -0.019345 Loss_G: 0.001225 Loss_D_real: -0.005443 Loss_D_fake 0.013902
[1640/5000][75/535][169262] Loss_D: -0.019340 Loss_G: 0.007130 Loss_D_real: -0.022412 Loss_D_fake -0.003072
[1640/5000][80/535][169263] Loss_D: -0.019193 Loss_G: 0.016790 Loss_D_real: -0.020846 Loss_D_fake -0.001653
[1640/5000][85/535][169264] Loss_D: -0.019540 Loss_G: -0.002331 Loss_D_real: -0.007550 Loss_D_fake 0.011991
[1640/5000][90/535][169265] Loss_D: -0.018513 Loss_G: -0.007768 Loss_D_real: -0.003823 Loss_D_fake 0.014690
[1640/5000][95/535][169266] Loss_D: -0.020535 Loss_G: -0.006054 Loss_D_real: -0.015491 Loss_D_fake 0.005044
[1640/5000][100/535][169267] Loss_D: -0.018125 Loss_G: 0.009922 Loss_D_real: -0.020507 Loss_D_fake -0.002382
[1640/5000][105/535][169268] Loss_D: -0.018868 Loss_G: 0.009426 Loss_D_real: -0.018616 Loss_D_fake 0.000252
[1640/5000][110/535][169269] Loss_D: -0.019251 Loss_G: 0.005850 Loss_D_real: -0.008960 Loss_D_fake 0.010291
[1640/5000][115/535][169270] Loss_D: -0.017587 Loss_G: 0.008915 Loss_D_real: -0.008985 Loss_D_fake 0.008602
[1640/5000][120/535][169271] Loss_D: -0.018881 Loss_G: 0.003746 Loss_D_real: -0.014260 Loss_D_fake 0.004622
[1640/5000][125/535][169272] Loss_D: -0.019338 Loss_G: 0.004612 Loss_D_real: -0.016066 Loss_D_fake 0.003271
[1640/5000][130/535][169273] Loss_D: -0.016654 Loss_G: -0.022421 Loss_D_real: -0.002862 Loss_D_fake 0.013793
[1640/5000][135/535][169274] Loss_D: -0.017995 Loss_G: 0.000909 Loss_D_real: -0.022179 Loss_D_fake -0.004184
[1640/5000][140/535][169275] Loss_D: -0.019450 Loss_G: 0.014648 Loss_D_real: -0.027648 Loss_D_fake -0.008198
[1640/5000][145/535][169276] Loss_D: -0.019242 Loss_G: 0.011609 Loss_D_real: -0.015485 Loss_D_fake 0.003757
[1640/5000][150/535][169277] Loss_D: -0.019483 Loss_G: -0.008391 Loss_D_real: -0.005884 Loss_D_fake 0.013599
[1640/5000][155/535][169278] Loss_D: -0.021067 Loss_G: 0.030907 Loss_D_real: -0.023832 Loss_D_fake -0.002765
[1640/5000][160/535][169279] Loss_D: -0.019122 Loss_G: 0.010190 Loss_D_real: -0.019722 Loss_D_fake -0.000599
[1640/5000][165/535][169280] Loss_D: -0.020180 Loss_G: 0.018611 Loss_D_real: -0.024799 Loss_D_fake -0.004619
[1640/5000][170/535][169281] Loss_D: -0.019858 Loss_G: 0.013611 Loss_D_real: -0.008798 Loss_D_fake 0.011060
[1640/5000][175/535][169282] Loss_D: -0.020880 Loss_G: 0.016221 Loss_D_real: -0.029477 Loss_D_fake -0.008597
[1640/5000][180/535][169283] Loss_D: -0.019556 Loss_G: 0.009915 Loss_D_real: -0.010704 Loss_D_fake 0.008852
[1640/5000][185/535][169284] Loss_D: -0.019001 Loss_G: 0.016709 Loss_D_real: -0.016719 Loss_D_fake 0.002282
[1640/5000][190/535][169285] Loss_D: -0.019903 Loss_G: -0.000357 Loss_D_real: -0.010131 Loss_D_fake 0.009772
[1640/5000][195/535][169286] Loss_D: -0.018853 Loss_G: 0.031903 Loss_D_real: -0.022131 Loss_D_fake -0.003278
[1640/5000][200/535][169287] Loss_D: -0.017629 Loss_G: 0.008624 Loss_D_real: -0.020648 Loss_D_fake -0.003019
[1640/5000][205/535][169288] Loss_D: -0.019429 Loss_G: 0.005764 Loss_D_real: -0.012717 Loss_D_fake 0.006712
[1640/5000][210/535][169289] Loss_D: -0.016605 Loss_G: -0.007392 Loss_D_real: -0.003284 Loss_D_fake 0.013321
[1640/5000][215/535][169290] Loss_D: -0.018618 Loss_G: 0.009382 Loss_D_real: -0.020070 Loss_D_fake -0.001451
[1640/5000][220/535][169291] Loss_D: -0.018810 Loss_G: -0.003332 Loss_D_real: 0.004415 Loss_D_fake 0.023225
[1640/5000][225/535][169292] Loss_D: -0.018335 Loss_G: 0.012279 Loss_D_real: -0.012782 Loss_D_fake 0.005553
[1640/5000][230/535][169293] Loss_D: -0.019085 Loss_G: -0.007193 Loss_D_real: 0.000375 Loss_D_fake 0.019460
[1640/5000][235/535][169294] Loss_D: -0.020399 Loss_G: 0.002694 Loss_D_real: -0.010544 Loss_D_fake 0.009855
[1640/5000][240/535][169295] Loss_D: -0.019468 Loss_G: 0.017380 Loss_D_real: -0.028915 Loss_D_fake -0.009448
[1640/5000][245/535][169296] Loss_D: -0.019962 Loss_G: -0.006881 Loss_D_real: 0.011984 Loss_D_fake 0.031946
[1640/5000][250/535][169297] Loss_D: -0.019703 Loss_G: 0.005735 Loss_D_real: -0.015199 Loss_D_fake 0.004504
[1640/5000][255/535][169298] Loss_D: -0.020386 Loss_G: -0.008387 Loss_D_real: -0.007425 Loss_D_fake 0.012961
[1640/5000][260/535][169299] Loss_D: -0.019664 Loss_G: -0.005171 Loss_D_real: -0.001701 Loss_D_fake 0.017963
[1640/5000][265/535][169300] Loss_D: -0.019494 Loss_G: 0.009361 Loss_D_real: -0.010382 Loss_D_fake 0.009112
[1640/5000][270/535][169301] Loss_D: -0.019787 Loss_G: 0.004311 Loss_D_real: -0.011361 Loss_D_fake 0.008426
[1640/5000][275/535][169302] Loss_D: -0.019181 Loss_G: 0.022222 Loss_D_real: -0.019946 Loss_D_fake -0.000765
[1640/5000][280/535][169303] Loss_D: -0.019448 Loss_G: 0.017853 Loss_D_real: -0.025626 Loss_D_fake -0.006178
[1640/5000][285/535][169304] Loss_D: -0.019055 Loss_G: 0.001741 Loss_D_real: -0.007719 Loss_D_fake 0.011337
[1640/5000][290/535][169305] Loss_D: -0.018383 Loss_G: 0.007407 Loss_D_real: -0.024772 Loss_D_fake -0.006389
[1640/5000][295/535][169306] Loss_D: -0.019127 Loss_G: 0.011121 Loss_D_real: -0.024934 Loss_D_fake -0.005806
[1640/5000][300/535][169307] Loss_D: -0.018436 Loss_G: 0.001735 Loss_D_real: -0.026814 Loss_D_fake -0.008378
[1640/5000][305/535][169308] Loss_D: -0.017984 Loss_G: 0.007513 Loss_D_real: -0.008941 Loss_D_fake 0.009043
[1640/5000][310/535][169309] Loss_D: -0.017664 Loss_G: 0.028134 Loss_D_real: -0.026743 Loss_D_fake -0.009079
[1640/5000][315/535][169310] Loss_D: -0.018913 Loss_G: -0.007043 Loss_D_real: -0.007750 Loss_D_fake 0.011163
[1640/5000][320/535][169311] Loss_D: -0.019412 Loss_G: 0.005765 Loss_D_real: -0.027087 Loss_D_fake -0.007674
[1640/5000][325/535][169312] Loss_D: -0.019315 Loss_G: -0.008623 Loss_D_real: -0.005618 Loss_D_fake 0.013696
[1640/5000][330/535][169313] Loss_D: -0.019357 Loss_G: 0.019043 Loss_D_real: -0.015876 Loss_D_fake 0.003481
[1640/5000][335/535][169314] Loss_D: -0.019780 Loss_G: 0.003403 Loss_D_real: -0.017233 Loss_D_fake 0.002548
[1640/5000][340/535][169315] Loss_D: -0.019049 Loss_G: 0.003886 Loss_D_real: -0.012434 Loss_D_fake 0.006615
[1640/5000][345/535][169316] Loss_D: -0.019742 Loss_G: 0.014956 Loss_D_real: -0.013265 Loss_D_fake 0.006477
[1640/5000][350/535][169317] Loss_D: -0.019678 Loss_G: -0.013321 Loss_D_real: -0.010237 Loss_D_fake 0.009441
[1640/5000][355/535][169318] Loss_D: -0.019297 Loss_G: 0.014090 Loss_D_real: -0.015295 Loss_D_fake 0.004002
[1640/5000][360/535][169319] Loss_D: -0.020183 Loss_G: 0.022352 Loss_D_real: -0.017347 Loss_D_fake 0.002836
[1640/5000][365/535][169320] Loss_D: -0.018225 Loss_G: -0.003419 Loss_D_real: 0.001367 Loss_D_fake 0.019592
[1640/5000][370/535][169321] Loss_D: -0.019121 Loss_G: 0.006181 Loss_D_real: -0.025187 Loss_D_fake -0.006066
[1640/5000][375/535][169322] Loss_D: -0.020125 Loss_G: -0.012682 Loss_D_real: -0.011039 Loss_D_fake 0.009086
[1640/5000][380/535][169323] Loss_D: -0.019652 Loss_G: 0.003805 Loss_D_real: -0.014951 Loss_D_fake 0.004701
[1640/5000][385/535][169324] Loss_D: -0.018268 Loss_G: 0.024127 Loss_D_real: -0.028400 Loss_D_fake -0.010132
[1640/5000][390/535][169325] Loss_D: -0.018013 Loss_G: 0.005288 Loss_D_real: -0.021895 Loss_D_fake -0.003882
[1640/5000][395/535][169326] Loss_D: -0.019163 Loss_G: -0.003791 Loss_D_real: -0.020391 Loss_D_fake -0.001228
[1640/5000][400/535][169327] Loss_D: -0.019052 Loss_G: 0.018597 Loss_D_real: -0.019371 Loss_D_fake -0.000318
[1640/5000][405/535][169328] Loss_D: -0.018806 Loss_G: 0.002124 Loss_D_real: -0.015010 Loss_D_fake 0.003796
[1640/5000][410/535][169329] Loss_D: -0.019283 Loss_G: 0.008344 Loss_D_real: -0.012787 Loss_D_fake 0.006496
[1640/5000][415/535][169330] Loss_D: -0.018925 Loss_G: -0.001621 Loss_D_real: -0.008516 Loss_D_fake 0.010409
[1640/5000][420/535][169331] Loss_D: -0.020239 Loss_G: -0.008744 Loss_D_real: -0.017729 Loss_D_fake 0.002510
[1640/5000][425/535][169332] Loss_D: -0.017503 Loss_G: 0.027560 Loss_D_real: -0.020912 Loss_D_fake -0.003409
[1640/5000][430/535][169333] Loss_D: -0.018796 Loss_G: 0.023489 Loss_D_real: -0.026051 Loss_D_fake -0.007255
[1640/5000][435/535][169334] Loss_D: -0.018957 Loss_G: -0.001458 Loss_D_real: -0.011834 Loss_D_fake 0.007123
[1640/5000][440/535][169335] Loss_D: -0.019642 Loss_G: 0.002742 Loss_D_real: -0.018835 Loss_D_fake 0.000807
[1640/5000][445/535][169336] Loss_D: -0.018342 Loss_G: 0.017139 Loss_D_real: -0.020443 Loss_D_fake -0.002101
[1640/5000][450/535][169337] Loss_D: -0.018849 Loss_G: 0.017112 Loss_D_real: -0.015808 Loss_D_fake 0.003041
[1640/5000][455/535][169338] Loss_D: -0.019512 Loss_G: 0.017503 Loss_D_real: -0.019297 Loss_D_fake 0.000215
[1640/5000][460/535][169339] Loss_D: -0.019372 Loss_G: 0.026577 Loss_D_real: -0.033498 Loss_D_fake -0.014125
[1640/5000][465/535][169340] Loss_D: -0.019656 Loss_G: 0.018335 Loss_D_real: -0.007909 Loss_D_fake 0.011747
[1640/5000][470/535][169341] Loss_D: -0.019178 Loss_G: 0.000328 Loss_D_real: -0.014648 Loss_D_fake 0.004529
[1640/5000][475/535][169342] Loss_D: -0.019716 Loss_G: 0.000105 Loss_D_real: -0.009780 Loss_D_fake 0.009935
[1640/5000][480/535][169343] Loss_D: -0.018265 Loss_G: -0.014848 Loss_D_real: 0.007964 Loss_D_fake 0.026229
[1640/5000][485/535][169344] Loss_D: -0.017825 Loss_G: 0.011523 Loss_D_real: -0.024944 Loss_D_fake -0.007119
[1640/5000][490/535][169345] Loss_D: -0.018323 Loss_G: 0.016755 Loss_D_real: -0.031150 Loss_D_fake -0.012827
[1640/5000][495/535][169346] Loss_D: -0.019099 Loss_G: 0.004718 Loss_D_real: -0.016290 Loss_D_fake 0.002809
[1640/5000][500/535][169347] Loss_D: -0.019731 Loss_G: -0.003717 Loss_D_real: -0.014663 Loss_D_fake 0.005069
[1640/5000][505/535][169348] Loss_D: -0.018647 Loss_G: 0.010468 Loss_D_real: -0.025026 Loss_D_fake -0.006379
[1640/5000][510/535][169349] Loss_D: -0.019800 Loss_G: 0.029066 Loss_D_real: -0.020381 Loss_D_fake -0.000581
[1640/5000][515/535][169350] Loss_D: -0.018991 Loss_G: 0.015067 Loss_D_real: -0.017608 Loss_D_fake 0.001382
[1640/5000][520/535][169351] Loss_D: -0.019672 Loss_G: 0.005158 Loss_D_real: -0.022699 Loss_D_fake -0.003027
[1640/5000][525/535][169352] Loss_D: -0.019106 Loss_G: 0.005669 Loss_D_real: -0.011695 Loss_D_fake 0.007410
[1640/5000][530/535][169353] Loss_D: -0.016841 Loss_G: 0.019141 Loss_D_real: -0.028230 Loss_D_fake -0.011389
[1640/5000][535/535][169354] Loss_D: -0.017918 Loss_G: 0.024338 Loss_D_real: -0.023400 Loss_D_fake -0.005482
[1641/5000][5/535][169355] Loss_D: -0.019359 Loss_G: 0.000532 Loss_D_real: -0.014779 Loss_D_fake 0.004580
[1641/5000][10/535][169356] Loss_D: -0.019003 Loss_G: 0.007812 Loss_D_real: -0.021494 Loss_D_fake -0.002491
[1641/5000][15/535][169357] Loss_D: -0.018082 Loss_G: -0.006975 Loss_D_real: 0.003408 Loss_D_fake 0.021490
[1641/5000][20/535][169358] Loss_D: -0.018957 Loss_G: 0.018139 Loss_D_real: -0.018515 Loss_D_fake 0.000443
[1641/5000][25/535][169359] Loss_D: -0.019260 Loss_G: 0.012462 Loss_D_real: -0.030407 Loss_D_fake -0.011147
[1641/5000][30/535][169360] Loss_D: -0.019153 Loss_G: -0.002438 Loss_D_real: -0.010990 Loss_D_fake 0.008163
[1641/5000][35/535][169361] Loss_D: -0.019710 Loss_G: 0.007870 Loss_D_real: -0.021049 Loss_D_fake -0.001339
[1641/5000][40/535][169362] Loss_D: -0.020370 Loss_G: 0.017075 Loss_D_real: -0.012420 Loss_D_fake 0.007951
[1641/5000][45/535][169363] Loss_D: -0.020165 Loss_G: -0.010204 Loss_D_real: -0.019611 Loss_D_fake 0.000554
[1641/5000][50/535][169364] Loss_D: -0.020379 Loss_G: 0.006230 Loss_D_real: -0.009339 Loss_D_fake 0.011040
[1641/5000][55/535][169365] Loss_D: -0.019068 Loss_G: -0.000503 Loss_D_real: -0.005981 Loss_D_fake 0.013087
[1641/5000][60/535][169366] Loss_D: -0.020600 Loss_G: -0.005577 Loss_D_real: -0.010726 Loss_D_fake 0.009875
[1641/5000][65/535][169367] Loss_D: -0.018931 Loss_G: -0.011034 Loss_D_real: -0.001516 Loss_D_fake 0.017416
[1641/5000][70/535][169368] Loss_D: -0.019996 Loss_G: 0.003619 Loss_D_real: -0.005805 Loss_D_fake 0.014191
[1641/5000][75/535][169369] Loss_D: -0.018397 Loss_G: 0.020977 Loss_D_real: -0.022647 Loss_D_fake -0.004250
[1641/5000][80/535][169370] Loss_D: -0.018107 Loss_G: -0.008788 Loss_D_real: 0.002197 Loss_D_fake 0.020304
[1641/5000][85/535][169371] Loss_D: -0.019202 Loss_G: 0.026141 Loss_D_real: -0.024178 Loss_D_fake -0.004976
[1641/5000][90/535][169372] Loss_D: -0.019620 Loss_G: -0.006019 Loss_D_real: -0.010180 Loss_D_fake 0.009439
[1641/5000][95/535][169373] Loss_D: -0.018967 Loss_G: 0.005561 Loss_D_real: -0.014283 Loss_D_fake 0.004683
[1641/5000][100/535][169374] Loss_D: -0.020729 Loss_G: -0.001168 Loss_D_real: -0.009755 Loss_D_fake 0.010974
[1641/5000][105/535][169375] Loss_D: -0.020146 Loss_G: 0.014815 Loss_D_real: -0.006319 Loss_D_fake 0.013828
[1641/5000][110/535][169376] Loss_D: -0.019683 Loss_G: 0.000968 Loss_D_real: -0.007131 Loss_D_fake 0.012552
[1641/5000][115/535][169377] Loss_D: -0.020776 Loss_G: 0.017323 Loss_D_real: -0.008940 Loss_D_fake 0.011836
[1641/5000][120/535][169378] Loss_D: -0.019494 Loss_G: -0.000268 Loss_D_real: -0.009883 Loss_D_fake 0.009612
[1641/5000][125/535][169379] Loss_D: -0.019446 Loss_G: 0.008590 Loss_D_real: -0.008353 Loss_D_fake 0.011094
[1641/5000][130/535][169380] Loss_D: -0.019175 Loss_G: 0.019445 Loss_D_real: -0.020236 Loss_D_fake -0.001062
[1641/5000][135/535][169381] Loss_D: -0.019849 Loss_G: 0.011503 Loss_D_real: -0.022752 Loss_D_fake -0.002903
[1641/5000][140/535][169382] Loss_D: -0.018952 Loss_G: 0.024529 Loss_D_real: -0.021174 Loss_D_fake -0.002222
[1641/5000][145/535][169383] Loss_D: -0.018028 Loss_G: -0.013185 Loss_D_real: -0.011747 Loss_D_fake 0.006281
[1641/5000][150/535][169384] Loss_D: -0.019760 Loss_G: -0.005504 Loss_D_real: -0.009688 Loss_D_fake 0.010073
[1641/5000][155/535][169385] Loss_D: -0.018347 Loss_G: 0.015054 Loss_D_real: -0.026949 Loss_D_fake -0.008602
[1641/5000][160/535][169386] Loss_D: -0.017577 Loss_G: 0.021471 Loss_D_real: -0.004178 Loss_D_fake 0.013399
[1641/5000][165/535][169387] Loss_D: -0.018829 Loss_G: 0.014103 Loss_D_real: -0.024416 Loss_D_fake -0.005587
[1641/5000][170/535][169388] Loss_D: -0.019575 Loss_G: -0.002071 Loss_D_real: -0.003915 Loss_D_fake 0.015660
[1641/5000][175/535][169389] Loss_D: -0.017050 Loss_G: 0.024291 Loss_D_real: -0.022183 Loss_D_fake -0.005133
[1641/5000][180/535][169390] Loss_D: -0.019319 Loss_G: 0.010015 Loss_D_real: -0.024767 Loss_D_fake -0.005448
[1641/5000][185/535][169391] Loss_D: -0.018605 Loss_G: 0.019379 Loss_D_real: -0.016097 Loss_D_fake 0.002508
[1641/5000][190/535][169392] Loss_D: -0.017927 Loss_G: 0.001228 Loss_D_real: -0.016833 Loss_D_fake 0.001094
[1641/5000][195/535][169393] Loss_D: -0.018966 Loss_G: 0.008962 Loss_D_real: -0.011514 Loss_D_fake 0.007453
[1641/5000][200/535][169394] Loss_D: -0.019465 Loss_G: 0.018535 Loss_D_real: -0.027358 Loss_D_fake -0.007893
[1641/5000][205/535][169395] Loss_D: -0.018785 Loss_G: -0.016284 Loss_D_real: -0.000951 Loss_D_fake 0.017833
[1641/5000][210/535][169396] Loss_D: -0.018713 Loss_G: 0.007045 Loss_D_real: -0.021546 Loss_D_fake -0.002833
[1641/5000][215/535][169397] Loss_D: -0.018909 Loss_G: 0.017483 Loss_D_real: -0.026380 Loss_D_fake -0.007471
[1641/5000][220/535][169398] Loss_D: -0.018729 Loss_G: -0.001264 Loss_D_real: -0.004945 Loss_D_fake 0.013784
[1641/5000][225/535][169399] Loss_D: -0.018551 Loss_G: 0.006034 Loss_D_real: -0.011199 Loss_D_fake 0.007352
[1641/5000][230/535][169400] Loss_D: -0.017332 Loss_G: -0.008429 Loss_D_real: 0.013431 Loss_D_fake 0.030762
[1641/5000][235/535][169401] Loss_D: -0.019161 Loss_G: 0.012853 Loss_D_real: -0.018247 Loss_D_fake 0.000914
[1641/5000][240/535][169402] Loss_D: -0.020234 Loss_G: -0.010394 Loss_D_real: -0.010215 Loss_D_fake 0.010019
[1641/5000][245/535][169403] Loss_D: -0.019411 Loss_G: 0.009221 Loss_D_real: -0.019817 Loss_D_fake -0.000406
[1641/5000][250/535][169404] Loss_D: -0.019606 Loss_G: 0.026787 Loss_D_real: -0.025784 Loss_D_fake -0.006179
[1641/5000][255/535][169405] Loss_D: -0.019091 Loss_G: 0.004046 Loss_D_real: -0.013144 Loss_D_fake 0.005947
[1641/5000][260/535][169406] Loss_D: -0.019974 Loss_G: 0.021130 Loss_D_real: -0.013125 Loss_D_fake 0.006849
[1641/5000][265/535][169407] Loss_D: -0.018882 Loss_G: 0.011432 Loss_D_real: -0.024357 Loss_D_fake -0.005475
[1641/5000][270/535][169408] Loss_D: -0.021078 Loss_G: 0.017188 Loss_D_real: -0.025222 Loss_D_fake -0.004144
[1641/5000][275/535][169409] Loss_D: -0.020674 Loss_G: 0.012810 Loss_D_real: -0.008130 Loss_D_fake 0.012544
[1641/5000][280/535][169410] Loss_D: -0.019213 Loss_G: 0.004704 Loss_D_real: -0.023480 Loss_D_fake -0.004267
[1641/5000][285/535][169411] Loss_D: -0.018844 Loss_G: 0.010736 Loss_D_real: -0.027700 Loss_D_fake -0.008857
[1641/5000][290/535][169412] Loss_D: -0.020551 Loss_G: 0.009617 Loss_D_real: -0.023904 Loss_D_fake -0.003354
[1641/5000][295/535][169413] Loss_D: -0.019555 Loss_G: 0.011030 Loss_D_real: -0.027154 Loss_D_fake -0.007598
[1641/5000][300/535][169414] Loss_D: -0.021203 Loss_G: 0.009100 Loss_D_real: -0.000090 Loss_D_fake 0.021113
[1641/5000][305/535][169415] Loss_D: -0.020651 Loss_G: 0.017209 Loss_D_real: -0.029041 Loss_D_fake -0.008390
[1641/5000][310/535][169416] Loss_D: -0.019853 Loss_G: 0.018552 Loss_D_real: -0.017617 Loss_D_fake 0.002236
[1641/5000][315/535][169417] Loss_D: -0.018599 Loss_G: -0.000451 Loss_D_real: -0.017705 Loss_D_fake 0.000895
[1641/5000][320/535][169418] Loss_D: -0.019458 Loss_G: 0.007470 Loss_D_real: -0.015227 Loss_D_fake 0.004231
[1641/5000][325/535][169419] Loss_D: -0.018605 Loss_G: 0.028500 Loss_D_real: -0.032355 Loss_D_fake -0.013750
[1641/5000][330/535][169420] Loss_D: -0.020657 Loss_G: 0.004761 Loss_D_real: -0.014300 Loss_D_fake 0.006358
[1641/5000][335/535][169421] Loss_D: -0.018935 Loss_G: 0.008258 Loss_D_real: -0.032557 Loss_D_fake -0.013622
[1641/5000][340/535][169422] Loss_D: -0.019722 Loss_G: 0.015068 Loss_D_real: -0.005957 Loss_D_fake 0.013764
[1641/5000][345/535][169423] Loss_D: -0.019538 Loss_G: -0.007372 Loss_D_real: -0.006330 Loss_D_fake 0.013207
[1641/5000][350/535][169424] Loss_D: -0.019836 Loss_G: -0.009891 Loss_D_real: -0.001434 Loss_D_fake 0.018402
[1641/5000][355/535][169425] Loss_D: -0.017511 Loss_G: 0.000015 Loss_D_real: -0.020080 Loss_D_fake -0.002570
[1641/5000][360/535][169426] Loss_D: -0.019733 Loss_G: 0.011253 Loss_D_real: -0.018919 Loss_D_fake 0.000814
[1641/5000][365/535][169427] Loss_D: -0.019731 Loss_G: 0.006440 Loss_D_real: -0.017877 Loss_D_fake 0.001855
[1641/5000][370/535][169428] Loss_D: -0.019110 Loss_G: 0.021548 Loss_D_real: -0.018383 Loss_D_fake 0.000726
[1641/5000][375/535][169429] Loss_D: -0.017924 Loss_G: 0.016773 Loss_D_real: -0.020928 Loss_D_fake -0.003004
[1641/5000][380/535][169430] Loss_D: -0.017923 Loss_G: -0.004915 Loss_D_real: 0.003182 Loss_D_fake 0.021105
[1641/5000][385/535][169431] Loss_D: -0.018468 Loss_G: -0.007359 Loss_D_real: -0.012097 Loss_D_fake 0.006371
[1641/5000][390/535][169432] Loss_D: -0.018820 Loss_G: 0.016663 Loss_D_real: -0.023384 Loss_D_fake -0.004564
[1641/5000][395/535][169433] Loss_D: -0.019445 Loss_G: 0.012126 Loss_D_real: -0.021277 Loss_D_fake -0.001832
[1641/5000][400/535][169434] Loss_D: -0.018416 Loss_G: 0.010766 Loss_D_real: -0.014887 Loss_D_fake 0.003529
[1641/5000][405/535][169435] Loss_D: -0.019247 Loss_G: -0.011200 Loss_D_real: -0.007711 Loss_D_fake 0.011536
[1641/5000][410/535][169436] Loss_D: -0.019717 Loss_G: 0.029742 Loss_D_real: -0.018664 Loss_D_fake 0.001053
[1641/5000][415/535][169437] Loss_D: -0.020014 Loss_G: 0.011675 Loss_D_real: -0.016691 Loss_D_fake 0.003323
[1641/5000][420/535][169438] Loss_D: -0.017845 Loss_G: 0.002963 Loss_D_real: -0.022070 Loss_D_fake -0.004226
[1641/5000][425/535][169439] Loss_D: -0.019033 Loss_G: 0.012351 Loss_D_real: -0.018941 Loss_D_fake 0.000091
[1641/5000][430/535][169440] Loss_D: -0.019499 Loss_G: 0.009473 Loss_D_real: -0.013729 Loss_D_fake 0.005770
[1641/5000][435/535][169441] Loss_D: -0.018923 Loss_G: -0.010038 Loss_D_real: -0.007546 Loss_D_fake 0.011378
[1641/5000][440/535][169442] Loss_D: -0.017811 Loss_G: 0.025132 Loss_D_real: -0.028226 Loss_D_fake -0.010415
[1641/5000][445/535][169443] Loss_D: -0.018613 Loss_G: -0.003504 Loss_D_real: -0.008352 Loss_D_fake 0.010261
[1641/5000][450/535][169444] Loss_D: -0.019885 Loss_G: 0.016091 Loss_D_real: -0.014651 Loss_D_fake 0.005234
[1641/5000][455/535][169445] Loss_D: -0.018451 Loss_G: 0.011116 Loss_D_real: -0.027298 Loss_D_fake -0.008847
[1641/5000][460/535][169446] Loss_D: -0.018875 Loss_G: 0.009800 Loss_D_real: -0.010290 Loss_D_fake 0.008585
[1641/5000][465/535][169447] Loss_D: -0.018708 Loss_G: 0.011650 Loss_D_real: -0.006189 Loss_D_fake 0.012519
[1641/5000][470/535][169448] Loss_D: -0.018947 Loss_G: -0.004278 Loss_D_real: -0.014787 Loss_D_fake 0.004160
[1641/5000][475/535][169449] Loss_D: -0.019625 Loss_G: 0.013235 Loss_D_real: -0.014007 Loss_D_fake 0.005618
[1641/5000][480/535][169450] Loss_D: -0.019593 Loss_G: 0.009890 Loss_D_real: 0.001035 Loss_D_fake 0.020628
[1641/5000][485/535][169451] Loss_D: -0.019377 Loss_G: 0.005086 Loss_D_real: -0.013084 Loss_D_fake 0.006294
[1641/5000][490/535][169452] Loss_D: -0.018456 Loss_G: 0.000539 Loss_D_real: -0.012946 Loss_D_fake 0.005510
[1641/5000][495/535][169453] Loss_D: -0.019467 Loss_G: 0.004637 Loss_D_real: -0.008145 Loss_D_fake 0.011322
[1641/5000][500/535][169454] Loss_D: -0.019134 Loss_G: 0.020853 Loss_D_real: -0.018732 Loss_D_fake 0.000402
[1641/5000][505/535][169455] Loss_D: -0.018583 Loss_G: 0.023010 Loss_D_real: -0.027813 Loss_D_fake -0.009230
[1641/5000][510/535][169456] Loss_D: -0.017767 Loss_G: 0.027345 Loss_D_real: -0.018282 Loss_D_fake -0.000515
[1641/5000][515/535][169457] Loss_D: -0.018319 Loss_G: -0.025671 Loss_D_real: 0.001362 Loss_D_fake 0.019682
[1641/5000][520/535][169458] Loss_D: -0.018463 Loss_G: -0.017402 Loss_D_real: -0.001781 Loss_D_fake 0.016683
[1641/5000][525/535][169459] Loss_D: -0.018844 Loss_G: 0.015007 Loss_D_real: -0.023215 Loss_D_fake -0.004371
[1641/5000][530/535][169460] Loss_D: -0.019873 Loss_G: 0.029747 Loss_D_real: -0.021256 Loss_D_fake -0.001384
[1641/5000][535/535][169461] Loss_D: -0.018612 Loss_G: 0.011929 Loss_D_real: -0.010685 Loss_D_fake 0.007927
[1642/5000][5/535][169462] Loss_D: -0.018362 Loss_G: 0.000940 Loss_D_real: -0.010781 Loss_D_fake 0.007582
[1642/5000][10/535][169463] Loss_D: -0.019718 Loss_G: 0.002883 Loss_D_real: -0.021131 Loss_D_fake -0.001413
[1642/5000][15/535][169464] Loss_D: -0.019943 Loss_G: 0.003923 Loss_D_real: -0.014075 Loss_D_fake 0.005868
[1642/5000][20/535][169465] Loss_D: -0.020348 Loss_G: 0.010068 Loss_D_real: -0.027849 Loss_D_fake -0.007502
[1642/5000][25/535][169466] Loss_D: -0.017985 Loss_G: 0.013228 Loss_D_real: -0.028533 Loss_D_fake -0.010548
[1642/5000][30/535][169467] Loss_D: -0.019602 Loss_G: 0.011466 Loss_D_real: -0.020084 Loss_D_fake -0.000482
[1642/5000][35/535][169468] Loss_D: -0.018483 Loss_G: 0.014129 Loss_D_real: -0.014955 Loss_D_fake 0.003528
[1642/5000][40/535][169469] Loss_D: -0.019991 Loss_G: -0.000254 Loss_D_real: -0.023325 Loss_D_fake -0.003334
[1642/5000][45/535][169470] Loss_D: -0.020190 Loss_G: 0.006573 Loss_D_real: -0.024366 Loss_D_fake -0.004176
[1642/5000][50/535][169471] Loss_D: -0.018234 Loss_G: -0.011348 Loss_D_real: -0.004526 Loss_D_fake 0.013708
[1642/5000][55/535][169472] Loss_D: -0.018448 Loss_G: 0.010108 Loss_D_real: -0.016401 Loss_D_fake 0.002047
[1642/5000][60/535][169473] Loss_D: -0.019729 Loss_G: 0.020218 Loss_D_real: -0.028014 Loss_D_fake -0.008285
[1642/5000][65/535][169474] Loss_D: -0.018280 Loss_G: 0.027970 Loss_D_real: -0.034843 Loss_D_fake -0.016563
[1642/5000][70/535][169475] Loss_D: -0.019662 Loss_G: -0.005552 Loss_D_real: -0.001770 Loss_D_fake 0.017892
[1642/5000][75/535][169476] Loss_D: -0.019951 Loss_G: 0.004673 Loss_D_real: -0.011425 Loss_D_fake 0.008525
[1642/5000][80/535][169477] Loss_D: -0.019910 Loss_G: 0.020070 Loss_D_real: -0.037975 Loss_D_fake -0.018065
[1642/5000][85/535][169478] Loss_D: -0.017808 Loss_G: 0.025816 Loss_D_real: -0.021959 Loss_D_fake -0.004151
[1642/5000][90/535][169479] Loss_D: -0.019386 Loss_G: 0.007962 Loss_D_real: -0.023918 Loss_D_fake -0.004532
[1642/5000][95/535][169480] Loss_D: -0.019926 Loss_G: 0.002084 Loss_D_real: -0.012096 Loss_D_fake 0.007830
[1642/5000][100/535][169481] Loss_D: -0.019035 Loss_G: 0.008731 Loss_D_real: -0.017385 Loss_D_fake 0.001650
[1642/5000][105/535][169482] Loss_D: -0.019323 Loss_G: 0.016457 Loss_D_real: -0.015218 Loss_D_fake 0.004105
[1642/5000][110/535][169483] Loss_D: -0.020258 Loss_G: 0.006437 Loss_D_real: -0.014381 Loss_D_fake 0.005877
[1642/5000][115/535][169484] Loss_D: -0.019599 Loss_G: 0.001665 Loss_D_real: -0.018506 Loss_D_fake 0.001093
[1642/5000][120/535][169485] Loss_D: -0.017394 Loss_G: 0.018108 Loss_D_real: -0.026241 Loss_D_fake -0.008847
[1642/5000][125/535][169486] Loss_D: -0.018844 Loss_G: 0.008657 Loss_D_real: -0.014025 Loss_D_fake 0.004820
[1642/5000][130/535][169487] Loss_D: -0.018758 Loss_G: 0.001838 Loss_D_real: -0.013075 Loss_D_fake 0.005683
[1642/5000][135/535][169488] Loss_D: -0.018898 Loss_G: 0.015402 Loss_D_real: -0.005120 Loss_D_fake 0.013778
[1642/5000][140/535][169489] Loss_D: -0.020190 Loss_G: 0.002036 Loss_D_real: -0.008535 Loss_D_fake 0.011655
[1642/5000][145/535][169490] Loss_D: -0.018980 Loss_G: 0.027957 Loss_D_real: -0.028551 Loss_D_fake -0.009570
[1642/5000][150/535][169491] Loss_D: -0.019369 Loss_G: 0.011101 Loss_D_real: -0.025540 Loss_D_fake -0.006171
[1642/5000][155/535][169492] Loss_D: -0.018861 Loss_G: -0.016121 Loss_D_real: -0.010836 Loss_D_fake 0.008026
[1642/5000][160/535][169493] Loss_D: -0.019263 Loss_G: -0.001923 Loss_D_real: -0.002850 Loss_D_fake 0.016413
[1642/5000][165/535][169494] Loss_D: -0.019153 Loss_G: 0.035221 Loss_D_real: -0.028034 Loss_D_fake -0.008881
[1642/5000][170/535][169495] Loss_D: -0.019108 Loss_G: -0.002877 Loss_D_real: -0.024179 Loss_D_fake -0.005071
[1642/5000][175/535][169496] Loss_D: -0.019920 Loss_G: 0.014162 Loss_D_real: -0.019874 Loss_D_fake 0.000046
[1642/5000][180/535][169497] Loss_D: -0.018422 Loss_G: -0.000135 Loss_D_real: -0.017804 Loss_D_fake 0.000618
[1642/5000][185/535][169498] Loss_D: -0.019172 Loss_G: 0.015758 Loss_D_real: -0.019633 Loss_D_fake -0.000461
[1642/5000][190/535][169499] Loss_D: -0.021087 Loss_G: 0.008024 Loss_D_real: -0.017777 Loss_D_fake 0.003311
[1642/5000][195/535][169500] Loss_D: -0.018854 Loss_G: 0.019885 Loss_D_real: -0.017921 Loss_D_fake 0.000933
[1642/5000][295/535][169501] Loss_D: -0.021441 Loss_G: 0.005221 Loss_D_real: -0.018818 Loss_D_fake 0.002623
[1642/5000][300/535][169502] Loss_D: -0.019319 Loss_G: 0.020442 Loss_D_real: -0.014464 Loss_D_fake 0.004856
[1642/5000][305/535][169503] Loss_D: -0.018860 Loss_G: 0.008341 Loss_D_real: -0.020313 Loss_D_fake -0.001452
[1642/5000][310/535][169504] Loss_D: -0.017771 Loss_G: 0.014105 Loss_D_real: -0.015446 Loss_D_fake 0.002325
[1642/5000][315/535][169505] Loss_D: -0.018716 Loss_G: -0.001519 Loss_D_real: -0.027329 Loss_D_fake -0.008612
[1642/5000][320/535][169506] Loss_D: -0.018714 Loss_G: 0.002645 Loss_D_real: -0.021665 Loss_D_fake -0.002951
[1642/5000][325/535][169507] Loss_D: -0.018268 Loss_G: 0.026298 Loss_D_real: -0.021147 Loss_D_fake -0.002879
[1642/5000][330/535][169508] Loss_D: -0.018860 Loss_G: 0.016842 Loss_D_real: -0.016661 Loss_D_fake 0.002199
[1642/5000][335/535][169509] Loss_D: -0.019551 Loss_G: 0.014011 Loss_D_real: -0.018460 Loss_D_fake 0.001091
[1642/5000][340/535][169510] Loss_D: -0.017919 Loss_G: 0.006359 Loss_D_real: -0.033232 Loss_D_fake -0.015313
[1642/5000][345/535][169511] Loss_D: -0.018624 Loss_G: -0.004616 Loss_D_real: -0.017859 Loss_D_fake 0.000765
[1642/5000][350/535][169512] Loss_D: -0.020536 Loss_G: 0.001410 Loss_D_real: -0.019102 Loss_D_fake 0.001434
[1642/5000][355/535][169513] Loss_D: -0.020019 Loss_G: -0.011213 Loss_D_real: -0.002566 Loss_D_fake 0.017453
[1642/5000][360/535][169514] Loss_D: -0.018272 Loss_G: 0.006187 Loss_D_real: -0.015392 Loss_D_fake 0.002880
[1642/5000][365/535][169515] Loss_D: -0.019077 Loss_G: 0.022551 Loss_D_real: -0.023980 Loss_D_fake -0.004903
[1642/5000][370/535][169516] Loss_D: -0.017227 Loss_G: 0.021105 Loss_D_real: -0.032050 Loss_D_fake -0.014822
[1642/5000][375/535][169517] Loss_D: -0.019681 Loss_G: 0.023280 Loss_D_real: -0.022119 Loss_D_fake -0.002439
[1642/5000][380/535][169518] Loss_D: -0.018225 Loss_G: 0.021990 Loss_D_real: -0.015719 Loss_D_fake 0.002506
[1642/5000][385/535][169519] Loss_D: -0.017991 Loss_G: 0.022132 Loss_D_real: -0.023667 Loss_D_fake -0.005676
[1642/5000][390/535][169520] Loss_D: -0.018335 Loss_G: 0.002113 Loss_D_real: -0.009081 Loss_D_fake 0.009255
[1642/5000][395/535][169521] Loss_D: -0.018363 Loss_G: 0.012784 Loss_D_real: -0.021912 Loss_D_fake -0.003549
[1642/5000][400/535][169522] Loss_D: -0.019062 Loss_G: 0.005639 Loss_D_real: -0.009966 Loss_D_fake 0.009096
[1642/5000][405/535][169523] Loss_D: -0.019836 Loss_G: -0.003769 Loss_D_real: -0.006867 Loss_D_fake 0.012969
[1642/5000][410/535][169524] Loss_D: -0.019747 Loss_G: 0.007882 Loss_D_real: -0.018674 Loss_D_fake 0.001073
[1642/5000][415/535][169525] Loss_D: -0.020165 Loss_G: 0.015919 Loss_D_real: -0.022999 Loss_D_fake -0.002834
[1642/5000][420/535][169526] Loss_D: -0.020178 Loss_G: 0.007789 Loss_D_real: -0.011846 Loss_D_fake 0.008332
[1642/5000][425/535][169527] Loss_D: -0.018331 Loss_G: 0.025482 Loss_D_real: -0.031371 Loss_D_fake -0.013040
[1642/5000][430/535][169528] Loss_D: -0.018847 Loss_G: 0.009560 Loss_D_real: -0.004476 Loss_D_fake 0.014370
[1642/5000][435/535][169529] Loss_D: -0.019638 Loss_G: -0.007796 Loss_D_real: -0.001918 Loss_D_fake 0.017720
[1642/5000][440/535][169530] Loss_D: -0.017865 Loss_G: 0.016390 Loss_D_real: -0.024881 Loss_D_fake -0.007016
[1642/5000][445/535][169531] Loss_D: -0.017886 Loss_G: 0.008928 Loss_D_real: -0.043092 Loss_D_fake -0.025207
[1642/5000][450/535][169532] Loss_D: -0.018056 Loss_G: 0.006799 Loss_D_real: -0.019433 Loss_D_fake -0.001377
[1642/5000][455/535][169533] Loss_D: -0.017319 Loss_G: 0.016517 Loss_D_real: -0.024547 Loss_D_fake -0.007228
[1642/5000][460/535][169534] Loss_D: -0.017013 Loss_G: 0.016585 Loss_D_real: -0.032444 Loss_D_fake -0.015431
[1642/5000][465/535][169535] Loss_D: -0.018715 Loss_G: -0.001113 Loss_D_real: -0.014502 Loss_D_fake 0.004213
[1642/5000][470/535][169536] Loss_D: -0.019570 Loss_G: -0.010195 Loss_D_real: -0.002195 Loss_D_fake 0.017375
[1642/5000][475/535][169537] Loss_D: -0.019154 Loss_G: 0.016000 Loss_D_real: -0.019420 Loss_D_fake -0.000267
[1642/5000][480/535][169538] Loss_D: -0.019582 Loss_G: 0.002269 Loss_D_real: -0.020024 Loss_D_fake -0.000442
[1642/5000][485/535][169539] Loss_D: -0.018496 Loss_G: 0.025188 Loss_D_real: -0.013714 Loss_D_fake 0.004781
[1642/5000][490/535][169540] Loss_D: -0.019467 Loss_G: 0.010554 Loss_D_real: -0.026968 Loss_D_fake -0.007501
[1642/5000][495/535][169541] Loss_D: -0.018441 Loss_G: 0.027457 Loss_D_real: -0.027042 Loss_D_fake -0.008601
[1642/5000][500/535][169542] Loss_D: -0.019737 Loss_G: 0.000884 Loss_D_real: -0.002907 Loss_D_fake 0.016830
[1642/5000][505/535][169543] Loss_D: -0.018089 Loss_G: -0.003095 Loss_D_real: -0.012351 Loss_D_fake 0.005738
[1642/5000][510/535][169544] Loss_D: -0.018574 Loss_G: 0.005339 Loss_D_real: -0.017517 Loss_D_fake 0.001057
[1642/5000][515/535][169545] Loss_D: -0.018023 Loss_G: 0.000541 Loss_D_real: -0.012704 Loss_D_fake 0.005319
[1642/5000][520/535][169546] Loss_D: -0.019268 Loss_G: 0.016883 Loss_D_real: -0.014979 Loss_D_fake 0.004288
[1642/5000][525/535][169547] Loss_D: -0.018088 Loss_G: -0.001731 Loss_D_real: -0.023420 Loss_D_fake -0.005332
[1642/5000][530/535][169548] Loss_D: -0.018589 Loss_G: 0.013730 Loss_D_real: -0.019933 Loss_D_fake -0.001344
[1642/5000][535/535][169549] Loss_D: -0.018465 Loss_G: 0.009017 Loss_D_real: -0.004397 Loss_D_fake 0.014068
[1643/5000][5/535][169550] Loss_D: -0.018366 Loss_G: -0.000757 Loss_D_real: -0.002082 Loss_D_fake 0.016284
[1643/5000][10/535][169551] Loss_D: -0.020045 Loss_G: 0.011068 Loss_D_real: -0.012510 Loss_D_fake 0.007535
[1643/5000][15/535][169552] Loss_D: -0.018308 Loss_G: 0.007007 Loss_D_real: -0.018780 Loss_D_fake -0.000473
[1643/5000][20/535][169553] Loss_D: -0.016909 Loss_G: -0.020691 Loss_D_real: -0.001394 Loss_D_fake 0.015515
[1643/5000][25/535][169554] Loss_D: -0.018980 Loss_G: 0.003886 Loss_D_real: -0.019756 Loss_D_fake -0.000776
[1643/5000][30/535][169555] Loss_D: -0.018925 Loss_G: 0.008978 Loss_D_real: -0.029248 Loss_D_fake -0.010323
[1643/5000][35/535][169556] Loss_D: -0.019809 Loss_G: 0.004204 Loss_D_real: -0.026575 Loss_D_fake -0.006766
[1643/5000][40/535][169557] Loss_D: -0.020122 Loss_G: 0.010528 Loss_D_real: -0.021305 Loss_D_fake -0.001182
[1643/5000][45/535][169558] Loss_D: -0.018907 Loss_G: 0.011763 Loss_D_real: -0.014060 Loss_D_fake 0.004848
[1643/5000][50/535][169559] Loss_D: -0.019734 Loss_G: 0.000107 Loss_D_real: -0.013885 Loss_D_fake 0.005849
[1643/5000][55/535][169560] Loss_D: -0.017955 Loss_G: -0.017091 Loss_D_real: -0.003417 Loss_D_fake 0.014539
[1643/5000][60/535][169561] Loss_D: -0.017845 Loss_G: -0.015405 Loss_D_real: -0.005518 Loss_D_fake 0.012326
[1643/5000][65/535][169562] Loss_D: -0.018520 Loss_G: -0.009840 Loss_D_real: 0.000900 Loss_D_fake 0.019420
[1643/5000][70/535][169563] Loss_D: -0.020009 Loss_G: -0.016464 Loss_D_real: 0.002484 Loss_D_fake 0.022492
[1643/5000][75/535][169564] Loss_D: -0.019750 Loss_G: 0.012867 Loss_D_real: -0.008552 Loss_D_fake 0.011198
[1643/5000][80/535][169565] Loss_D: -0.019717 Loss_G: -0.000582 Loss_D_real: -0.007947 Loss_D_fake 0.011770
[1643/5000][85/535][169566] Loss_D: -0.018236 Loss_G: -0.014964 Loss_D_real: 0.004232 Loss_D_fake 0.022468
[1643/5000][90/535][169567] Loss_D: -0.018579 Loss_G: -0.006151 Loss_D_real: -0.006749 Loss_D_fake 0.011829
[1643/5000][95/535][169568] Loss_D: -0.020492 Loss_G: 0.004973 Loss_D_real: -0.000105 Loss_D_fake 0.020386
[1643/5000][100/535][169569] Loss_D: -0.020304 Loss_G: 0.024932 Loss_D_real: -0.015828 Loss_D_fake 0.004476
[1643/5000][105/535][169570] Loss_D: -0.019110 Loss_G: -0.005003 Loss_D_real: 0.003650 Loss_D_fake 0.022760
[1643/5000][110/535][169571] Loss_D: -0.019049 Loss_G: -0.003066 Loss_D_real: -0.012920 Loss_D_fake 0.006129
[1643/5000][115/535][169572] Loss_D: -0.018759 Loss_G: 0.001815 Loss_D_real: -0.010452 Loss_D_fake 0.008308
[1643/5000][120/535][169573] Loss_D: -0.018072 Loss_G: 0.000300 Loss_D_real: -0.006821 Loss_D_fake 0.011251
[1643/5000][125/535][169574] Loss_D: -0.018740 Loss_G: 0.020750 Loss_D_real: -0.032172 Loss_D_fake -0.013432
[1643/5000][130/535][169575] Loss_D: -0.019899 Loss_G: 0.021912 Loss_D_real: -0.009390 Loss_D_fake 0.010510
[1643/5000][135/535][169576] Loss_D: -0.019226 Loss_G: 0.010014 Loss_D_real: -0.025071 Loss_D_fake -0.005845
[1643/5000][140/535][169577] Loss_D: -0.016940 Loss_G: 0.028559 Loss_D_real: -0.019156 Loss_D_fake -0.002215
[1643/5000][145/535][169578] Loss_D: -0.018471 Loss_G: 0.013405 Loss_D_real: -0.023981 Loss_D_fake -0.005510
[1643/5000][150/535][169579] Loss_D: -0.019845 Loss_G: -0.004830 Loss_D_real: -0.004123 Loss_D_fake 0.015722
[1643/5000][155/535][169580] Loss_D: -0.019790 Loss_G: -0.006214 Loss_D_real: -0.011054 Loss_D_fake 0.008736
[1643/5000][160/535][169581] Loss_D: -0.017743 Loss_G: 0.010847 Loss_D_real: -0.023519 Loss_D_fake -0.005776
[1643/5000][165/535][169582] Loss_D: -0.019192 Loss_G: 0.016319 Loss_D_real: -0.007846 Loss_D_fake 0.011346
[1643/5000][170/535][169583] Loss_D: -0.018631 Loss_G: 0.011221 Loss_D_real: -0.021013 Loss_D_fake -0.002383
[1643/5000][175/535][169584] Loss_D: -0.020031 Loss_G: 0.001114 Loss_D_real: -0.016377 Loss_D_fake 0.003655
[1643/5000][180/535][169585] Loss_D: -0.018624 Loss_G: 0.027810 Loss_D_real: -0.024941 Loss_D_fake -0.006317
[1643/5000][185/535][169586] Loss_D: -0.019195 Loss_G: 0.004718 Loss_D_real: -0.022326 Loss_D_fake -0.003131
[1643/5000][190/535][169587] Loss_D: -0.020666 Loss_G: 0.003712 Loss_D_real: -0.023453 Loss_D_fake -0.002787
[1643/5000][195/535][169588] Loss_D: -0.020437 Loss_G: 0.000195 Loss_D_real: -0.003597 Loss_D_fake 0.016840
[1643/5000][200/535][169589] Loss_D: -0.018615 Loss_G: 0.007917 Loss_D_real: -0.007455 Loss_D_fake 0.011160
[1643/5000][205/535][169590] Loss_D: -0.019581 Loss_G: 0.012154 Loss_D_real: -0.012870 Loss_D_fake 0.006711
[1643/5000][210/535][169591] Loss_D: -0.017780 Loss_G: -0.003945 Loss_D_real: 0.008947 Loss_D_fake 0.026727
[1643/5000][215/535][169592] Loss_D: -0.019452 Loss_G: 0.010008 Loss_D_real: -0.015632 Loss_D_fake 0.003820
[1643/5000][220/535][169593] Loss_D: -0.018738 Loss_G: -0.000093 Loss_D_real: 0.000173 Loss_D_fake 0.018911
[1643/5000][225/535][169594] Loss_D: -0.019719 Loss_G: 0.012488 Loss_D_real: -0.012628 Loss_D_fake 0.007091
[1643/5000][230/535][169595] Loss_D: -0.019325 Loss_G: 0.005281 Loss_D_real: -0.002269 Loss_D_fake 0.017056
[1643/5000][235/535][169596] Loss_D: -0.017917 Loss_G: 0.020708 Loss_D_real: -0.034236 Loss_D_fake -0.016319
[1643/5000][240/535][169597] Loss_D: -0.018710 Loss_G: 0.021209 Loss_D_real: -0.026743 Loss_D_fake -0.008033
[1643/5000][245/535][169598] Loss_D: -0.018767 Loss_G: 0.001369 Loss_D_real: -0.004950 Loss_D_fake 0.013817
[1643/5000][250/535][169599] Loss_D: -0.018551 Loss_G: -0.010559 Loss_D_real: 0.000632 Loss_D_fake 0.019183
[1643/5000][255/535][169600] Loss_D: -0.017104 Loss_G: 0.023987 Loss_D_real: -0.024761 Loss_D_fake -0.007657
[1643/5000][260/535][169601] Loss_D: -0.018308 Loss_G: 0.022860 Loss_D_real: -0.013870 Loss_D_fake 0.004438
[1643/5000][265/535][169602] Loss_D: -0.019650 Loss_G: -0.001716 Loss_D_real: -0.017727 Loss_D_fake 0.001924
[1643/5000][270/535][169603] Loss_D: -0.017766 Loss_G: 0.035370 Loss_D_real: -0.033414 Loss_D_fake -0.015648
[1643/5000][275/535][169604] Loss_D: -0.019607 Loss_G: 0.006528 Loss_D_real: -0.023996 Loss_D_fake -0.004390
[1643/5000][280/535][169605] Loss_D: -0.019358 Loss_G: 0.007218 Loss_D_real: -0.013551 Loss_D_fake 0.005807
[1643/5000][285/535][169606] Loss_D: -0.019830 Loss_G: 0.003080 Loss_D_real: -0.011043 Loss_D_fake 0.008787
[1643/5000][290/535][169607] Loss_D: -0.018327 Loss_G: -0.005741 Loss_D_real: -0.011582 Loss_D_fake 0.006744
[1643/5000][295/535][169608] Loss_D: -0.019420 Loss_G: 0.001108 Loss_D_real: -0.012379 Loss_D_fake 0.007041
[1643/5000][300/535][169609] Loss_D: -0.019548 Loss_G: 0.024050 Loss_D_real: -0.016732 Loss_D_fake 0.002815
[1643/5000][305/535][169610] Loss_D: -0.018462 Loss_G: 0.013685 Loss_D_real: -0.019116 Loss_D_fake -0.000653
[1643/5000][310/535][169611] Loss_D: -0.020064 Loss_G: -0.002439 Loss_D_real: -0.011824 Loss_D_fake 0.008240
[1643/5000][315/535][169612] Loss_D: -0.019143 Loss_G: 0.017777 Loss_D_real: -0.016268 Loss_D_fake 0.002874
[1643/5000][320/535][169613] Loss_D: -0.019621 Loss_G: -0.005706 Loss_D_real: -0.008304 Loss_D_fake 0.011317
[1643/5000][325/535][169614] Loss_D: -0.019203 Loss_G: 0.013272 Loss_D_real: -0.018829 Loss_D_fake 0.000374
[1643/5000][330/535][169615] Loss_D: -0.020267 Loss_G: 0.008883 Loss_D_real: -0.019307 Loss_D_fake 0.000959
[1643/5000][335/535][169616] Loss_D: -0.019241 Loss_G: 0.002415 Loss_D_real: -0.028021 Loss_D_fake -0.008780
[1643/5000][340/535][169617] Loss_D: -0.018667 Loss_G: 0.018995 Loss_D_real: -0.026844 Loss_D_fake -0.008177
[1643/5000][345/535][169618] Loss_D: -0.017628 Loss_G: -0.011100 Loss_D_real: 0.006057 Loss_D_fake 0.023685
[1643/5000][350/535][169619] Loss_D: -0.017518 Loss_G: -0.011824 Loss_D_real: -0.003337 Loss_D_fake 0.014181
[1643/5000][355/535][169620] Loss_D: -0.016239 Loss_G: 0.011756 Loss_D_real: -0.031149 Loss_D_fake -0.014909
[1643/5000][360/535][169621] Loss_D: -0.018596 Loss_G: -0.012120 Loss_D_real: -0.003925 Loss_D_fake 0.014670
[1643/5000][365/535][169622] Loss_D: -0.018981 Loss_G: 0.016021 Loss_D_real: -0.007454 Loss_D_fake 0.011527
[1643/5000][370/535][169623] Loss_D: -0.018498 Loss_G: 0.017055 Loss_D_real: -0.014430 Loss_D_fake 0.004068
[1643/5000][375/535][169624] Loss_D: -0.019945 Loss_G: -0.013636 Loss_D_real: -0.017564 Loss_D_fake 0.002381
[1643/5000][380/535][169625] Loss_D: -0.018327 Loss_G: 0.007605 Loss_D_real: -0.009868 Loss_D_fake 0.008458
[1643/5000][385/535][169626] Loss_D: -0.019186 Loss_G: 0.012508 Loss_D_real: -0.024815 Loss_D_fake -0.005630
[1643/5000][390/535][169627] Loss_D: -0.019423 Loss_G: 0.008571 Loss_D_real: -0.014836 Loss_D_fake 0.004587
[1643/5000][395/535][169628] Loss_D: -0.018530 Loss_G: -0.001988 Loss_D_real: -0.020793 Loss_D_fake -0.002263
[1643/5000][400/535][169629] Loss_D: -0.019097 Loss_G: 0.017032 Loss_D_real: -0.018666 Loss_D_fake 0.000431
[1643/5000][405/535][169630] Loss_D: -0.018577 Loss_G: 0.024510 Loss_D_real: -0.032239 Loss_D_fake -0.013661
[1643/5000][410/535][169631] Loss_D: -0.019601 Loss_G: 0.011091 Loss_D_real: -0.013356 Loss_D_fake 0.006245
[1643/5000][415/535][169632] Loss_D: -0.019080 Loss_G: 0.015746 Loss_D_real: -0.033251 Loss_D_fake -0.014171
[1643/5000][420/535][169633] Loss_D: -0.019613 Loss_G: 0.012895 Loss_D_real: -0.019333 Loss_D_fake 0.000280
[1643/5000][425/535][169634] Loss_D: -0.019286 Loss_G: 0.001599 Loss_D_real: -0.018064 Loss_D_fake 0.001223
[1643/5000][430/535][169635] Loss_D: -0.019111 Loss_G: 0.007439 Loss_D_real: -0.024062 Loss_D_fake -0.004951
[1643/5000][435/535][169636] Loss_D: -0.018889 Loss_G: 0.010678 Loss_D_real: -0.025780 Loss_D_fake -0.006892
[1643/5000][440/535][169637] Loss_D: -0.019674 Loss_G: -0.001923 Loss_D_real: 0.002264 Loss_D_fake 0.021939
[1643/5000][445/535][169638] Loss_D: -0.020795 Loss_G: 0.001222 Loss_D_real: 0.003353 Loss_D_fake 0.024149
[1643/5000][450/535][169639] Loss_D: -0.018956 Loss_G: 0.003135 Loss_D_real: -0.021713 Loss_D_fake -0.002757
[1643/5000][455/535][169640] Loss_D: -0.017930 Loss_G: 0.024584 Loss_D_real: -0.020313 Loss_D_fake -0.002383
[1643/5000][460/535][169641] Loss_D: -0.019010 Loss_G: -0.014695 Loss_D_real: -0.013940 Loss_D_fake 0.005070
[1643/5000][465/535][169642] Loss_D: -0.019352 Loss_G: -0.002203 Loss_D_real: -0.007791 Loss_D_fake 0.011561
[1643/5000][470/535][169643] Loss_D: -0.019234 Loss_G: -0.001522 Loss_D_real: -0.015724 Loss_D_fake 0.003510
[1643/5000][475/535][169644] Loss_D: -0.018465 Loss_G: 0.022437 Loss_D_real: -0.030187 Loss_D_fake -0.011723
[1643/5000][480/535][169645] Loss_D: -0.019504 Loss_G: 0.006963 Loss_D_real: -0.008937 Loss_D_fake 0.010567
[1643/5000][485/535][169646] Loss_D: -0.020040 Loss_G: 0.008605 Loss_D_real: -0.017700 Loss_D_fake 0.002341
[1643/5000][490/535][169647] Loss_D: -0.019411 Loss_G: 0.007913 Loss_D_real: -0.024544 Loss_D_fake -0.005133
[1643/5000][495/535][169648] Loss_D: -0.021327 Loss_G: 0.019880 Loss_D_real: -0.017348 Loss_D_fake 0.003979
[1643/5000][500/535][169649] Loss_D: -0.019461 Loss_G: -0.010025 Loss_D_real: 0.002883 Loss_D_fake 0.022344
[1643/5000][505/535][169650] Loss_D: -0.019808 Loss_G: -0.002787 Loss_D_real: -0.019944 Loss_D_fake -0.000136
[1643/5000][510/535][169651] Loss_D: -0.020059 Loss_G: 0.016496 Loss_D_real: -0.020773 Loss_D_fake -0.000714
[1643/5000][515/535][169652] Loss_D: -0.016785 Loss_G: 0.028551 Loss_D_real: -0.036563 Loss_D_fake -0.019777
[1643/5000][520/535][169653] Loss_D: -0.019407 Loss_G: 0.008298 Loss_D_real: -0.014353 Loss_D_fake 0.005054
[1643/5000][525/535][169654] Loss_D: -0.019843 Loss_G: 0.003911 Loss_D_real: -0.014617 Loss_D_fake 0.005226
[1643/5000][530/535][169655] Loss_D: -0.020772 Loss_G: 0.007558 Loss_D_real: 0.002640 Loss_D_fake 0.023412
[1643/5000][535/535][169656] Loss_D: -0.019459 Loss_G: -0.009528 Loss_D_real: -0.016950 Loss_D_fake 0.002509
[1644/5000][5/535][169657] Loss_D: -0.020370 Loss_G: 0.006227 Loss_D_real: -0.024230 Loss_D_fake -0.003860
[1644/5000][10/535][169658] Loss_D: -0.018003 Loss_G: 0.010055 Loss_D_real: -0.017173 Loss_D_fake 0.000830
[1644/5000][15/535][169659] Loss_D: -0.019622 Loss_G: 0.004614 Loss_D_real: -0.017236 Loss_D_fake 0.002386
[1644/5000][20/535][169660] Loss_D: -0.019231 Loss_G: -0.002874 Loss_D_real: -0.010725 Loss_D_fake 0.008506
[1644/5000][25/535][169661] Loss_D: -0.019767 Loss_G: 0.019937 Loss_D_real: -0.027768 Loss_D_fake -0.008001
[1644/5000][30/535][169662] Loss_D: -0.017277 Loss_G: 0.011746 Loss_D_real: -0.016162 Loss_D_fake 0.001115
[1644/5000][35/535][169663] Loss_D: -0.018257 Loss_G: 0.019741 Loss_D_real: -0.015803 Loss_D_fake 0.002454
[1644/5000][40/535][169664] Loss_D: -0.019311 Loss_G: 0.017856 Loss_D_real: -0.027446 Loss_D_fake -0.008135
[1644/5000][45/535][169665] Loss_D: -0.018737 Loss_G: -0.004350 Loss_D_real: -0.007454 Loss_D_fake 0.011282
[1644/5000][50/535][169666] Loss_D: -0.018417 Loss_G: -0.010291 Loss_D_real: -0.009570 Loss_D_fake 0.008847
[1644/5000][55/535][169667] Loss_D: -0.020509 Loss_G: -0.010191 Loss_D_real: -0.012362 Loss_D_fake 0.008147
[1644/5000][60/535][169668] Loss_D: -0.019209 Loss_G: 0.018448 Loss_D_real: -0.016441 Loss_D_fake 0.002768
[1644/5000][65/535][169669] Loss_D: -0.018547 Loss_G: 0.016321 Loss_D_real: -0.010487 Loss_D_fake 0.008060
[1644/5000][70/535][169670] Loss_D: -0.018422 Loss_G: -0.011140 Loss_D_real: -0.007048 Loss_D_fake 0.011375
[1644/5000][75/535][169671] Loss_D: -0.018981 Loss_G: 0.016751 Loss_D_real: -0.013354 Loss_D_fake 0.005627
[1644/5000][80/535][169672] Loss_D: -0.019363 Loss_G: 0.009941 Loss_D_real: -0.011116 Loss_D_fake 0.008247
[1644/5000][85/535][169673] Loss_D: -0.017451 Loss_G: 0.024634 Loss_D_real: -0.036879 Loss_D_fake -0.019427
[1644/5000][90/535][169674] Loss_D: -0.018571 Loss_G: 0.021127 Loss_D_real: -0.022368 Loss_D_fake -0.003797
[1644/5000][95/535][169675] Loss_D: -0.019159 Loss_G: 0.005102 Loss_D_real: -0.019879 Loss_D_fake -0.000720
[1644/5000][100/535][169676] Loss_D: -0.018533 Loss_G: 0.023328 Loss_D_real: -0.023306 Loss_D_fake -0.004773
[1644/5000][105/535][169677] Loss_D: -0.020177 Loss_G: 0.016269 Loss_D_real: -0.006507 Loss_D_fake 0.013670
[1644/5000][110/535][169678] Loss_D: -0.019430 Loss_G: 0.007142 Loss_D_real: -0.008899 Loss_D_fake 0.010531
[1644/5000][115/535][169679] Loss_D: -0.018005 Loss_G: 0.024661 Loss_D_real: -0.030747 Loss_D_fake -0.012742
[1644/5000][120/535][169680] Loss_D: -0.018446 Loss_G: 0.007896 Loss_D_real: -0.011717 Loss_D_fake 0.006728
[1644/5000][125/535][169681] Loss_D: -0.019922 Loss_G: 0.021389 Loss_D_real: -0.015595 Loss_D_fake 0.004328
[1644/5000][130/535][169682] Loss_D: -0.019545 Loss_G: -0.001831 Loss_D_real: -0.020400 Loss_D_fake -0.000855
[1644/5000][135/535][169683] Loss_D: -0.019118 Loss_G: 0.017813 Loss_D_real: -0.019312 Loss_D_fake -0.000194
[1644/5000][140/535][169684] Loss_D: -0.019159 Loss_G: -0.003262 Loss_D_real: -0.010425 Loss_D_fake 0.008734
[1644/5000][145/535][169685] Loss_D: -0.020139 Loss_G: -0.010336 Loss_D_real: -0.015263 Loss_D_fake 0.004876
[1644/5000][150/535][169686] Loss_D: -0.018567 Loss_G: 0.029622 Loss_D_real: -0.032098 Loss_D_fake -0.013531
[1644/5000][155/535][169687] Loss_D: -0.018472 Loss_G: 0.005760 Loss_D_real: -0.016205 Loss_D_fake 0.002267
[1644/5000][160/535][169688] Loss_D: -0.017902 Loss_G: 0.024343 Loss_D_real: -0.023158 Loss_D_fake -0.005256
[1644/5000][165/535][169689] Loss_D: -0.019172 Loss_G: -0.005612 Loss_D_real: -0.018257 Loss_D_fake 0.000915
[1644/5000][170/535][169690] Loss_D: -0.019291 Loss_G: 0.008857 Loss_D_real: -0.023066 Loss_D_fake -0.003775
[1644/5000][175/535][169691] Loss_D: -0.018767 Loss_G: 0.004160 Loss_D_real: -0.014990 Loss_D_fake 0.003777
[1644/5000][180/535][169692] Loss_D: -0.018990 Loss_G: 0.001665 Loss_D_real: -0.013826 Loss_D_fake 0.005163
[1644/5000][185/535][169693] Loss_D: -0.019611 Loss_G: 0.025698 Loss_D_real: -0.025711 Loss_D_fake -0.006100
[1644/5000][190/535][169694] Loss_D: -0.018472 Loss_G: -0.017776 Loss_D_real: -0.007144 Loss_D_fake 0.011328
[1644/5000][195/535][169695] Loss_D: -0.019816 Loss_G: 0.004062 Loss_D_real: -0.008166 Loss_D_fake 0.011649
[1644/5000][200/535][169696] Loss_D: -0.020164 Loss_G: 0.004601 Loss_D_real: -0.010089 Loss_D_fake 0.010075
[1644/5000][205/535][169697] Loss_D: -0.020493 Loss_G: 0.017635 Loss_D_real: -0.014458 Loss_D_fake 0.006036
[1644/5000][210/535][169698] Loss_D: -0.020547 Loss_G: 0.007690 Loss_D_real: -0.006685 Loss_D_fake 0.013862
[1644/5000][215/535][169699] Loss_D: -0.019889 Loss_G: -0.002226 Loss_D_real: 0.006371 Loss_D_fake 0.026260
[1644/5000][220/535][169700] Loss_D: -0.019502 Loss_G: 0.025737 Loss_D_real: -0.025795 Loss_D_fake -0.006293
[1644/5000][225/535][169701] Loss_D: -0.019364 Loss_G: 0.010225 Loss_D_real: -0.025013 Loss_D_fake -0.005650
[1644/5000][230/535][169702] Loss_D: -0.018867 Loss_G: -0.002565 Loss_D_real: -0.011826 Loss_D_fake 0.007040
[1644/5000][235/535][169703] Loss_D: -0.018512 Loss_G: -0.003524 Loss_D_real: -0.015568 Loss_D_fake 0.002944
[1644/5000][240/535][169704] Loss_D: -0.018471 Loss_G: 0.028749 Loss_D_real: -0.022058 Loss_D_fake -0.003587
[1644/5000][245/535][169705] Loss_D: -0.017687 Loss_G: -0.011358 Loss_D_real: 0.007097 Loss_D_fake 0.024784
[1644/5000][250/535][169706] Loss_D: -0.018835 Loss_G: 0.012172 Loss_D_real: -0.010534 Loss_D_fake 0.008301
[1644/5000][255/535][169707] Loss_D: -0.019610 Loss_G: 0.005441 Loss_D_real: -0.020776 Loss_D_fake -0.001166
[1644/5000][260/535][169708] Loss_D: -0.019743 Loss_G: 0.004142 Loss_D_real: -0.030934 Loss_D_fake -0.011191
[1644/5000][265/535][169709] Loss_D: -0.020730 Loss_G: -0.002089 Loss_D_real: -0.003096 Loss_D_fake 0.017634
[1644/5000][270/535][169710] Loss_D: -0.019779 Loss_G: 0.009580 Loss_D_real: 0.002969 Loss_D_fake 0.022749
[1644/5000][275/535][169711] Loss_D: -0.018814 Loss_G: -0.010470 Loss_D_real: 0.001117 Loss_D_fake 0.019931
[1644/5000][280/535][169712] Loss_D: -0.018525 Loss_G: 0.017882 Loss_D_real: -0.032108 Loss_D_fake -0.013583
[1644/5000][285/535][169713] Loss_D: -0.017875 Loss_G: 0.000638 Loss_D_real: -0.008097 Loss_D_fake 0.009778
[1644/5000][290/535][169714] Loss_D: -0.018267 Loss_G: -0.002260 Loss_D_real: -0.006397 Loss_D_fake 0.011870
[1644/5000][295/535][169715] Loss_D: -0.019177 Loss_G: 0.019235 Loss_D_real: -0.032519 Loss_D_fake -0.013342
[1644/5000][300/535][169716] Loss_D: -0.019105 Loss_G: 0.000805 Loss_D_real: -0.007222 Loss_D_fake 0.011883
[1644/5000][305/535][169717] Loss_D: -0.018910 Loss_G: 0.015141 Loss_D_real: -0.006810 Loss_D_fake 0.012100
[1644/5000][310/535][169718] Loss_D: -0.019723 Loss_G: -0.011042 Loss_D_real: -0.013371 Loss_D_fake 0.006352
[1644/5000][315/535][169719] Loss_D: -0.018555 Loss_G: 0.015311 Loss_D_real: -0.016152 Loss_D_fake 0.002403
[1644/5000][320/535][169720] Loss_D: -0.019202 Loss_G: 0.023078 Loss_D_real: -0.016893 Loss_D_fake 0.002309
[1644/5000][325/535][169721] Loss_D: -0.019161 Loss_G: -0.003297 Loss_D_real: -0.007383 Loss_D_fake 0.011778
[1644/5000][330/535][169722] Loss_D: -0.019420 Loss_G: 0.002198 Loss_D_real: -0.021173 Loss_D_fake -0.001753
[1644/5000][335/535][169723] Loss_D: -0.019549 Loss_G: -0.009300 Loss_D_real: -0.003809 Loss_D_fake 0.015740
[1644/5000][340/535][169724] Loss_D: -0.018982 Loss_G: -0.008939 Loss_D_real: -0.002554 Loss_D_fake 0.016428
[1644/5000][345/535][169725] Loss_D: -0.019756 Loss_G: 0.016661 Loss_D_real: -0.021655 Loss_D_fake -0.001899
[1644/5000][350/535][169726] Loss_D: -0.018891 Loss_G: -0.009074 Loss_D_real: 0.002642 Loss_D_fake 0.021533
[1644/5000][355/535][169727] Loss_D: -0.018992 Loss_G: 0.013112 Loss_D_real: -0.006864 Loss_D_fake 0.012128
[1644/5000][360/535][169728] Loss_D: -0.020314 Loss_G: 0.015825 Loss_D_real: -0.005988 Loss_D_fake 0.014325
[1644/5000][365/535][169729] Loss_D: -0.017996 Loss_G: 0.017512 Loss_D_real: -0.024289 Loss_D_fake -0.006293
[1644/5000][370/535][169730] Loss_D: -0.019339 Loss_G: 0.016436 Loss_D_real: -0.029488 Loss_D_fake -0.010149
[1644/5000][375/535][169731] Loss_D: -0.018642 Loss_G: -0.001573 Loss_D_real: -0.017890 Loss_D_fake 0.000752
[1644/5000][380/535][169732] Loss_D: -0.018909 Loss_G: 0.010484 Loss_D_real: -0.020075 Loss_D_fake -0.001166
[1644/5000][385/535][169733] Loss_D: -0.019021 Loss_G: 0.011372 Loss_D_real: -0.008669 Loss_D_fake 0.010352
[1644/5000][390/535][169734] Loss_D: -0.019102 Loss_G: 0.005702 Loss_D_real: -0.018042 Loss_D_fake 0.001061
[1644/5000][395/535][169735] Loss_D: -0.019759 Loss_G: 0.011517 Loss_D_real: -0.011725 Loss_D_fake 0.008034
[1644/5000][400/535][169736] Loss_D: -0.018227 Loss_G: -0.006100 Loss_D_real: -0.004591 Loss_D_fake 0.013636
[1644/5000][405/535][169737] Loss_D: -0.019865 Loss_G: 0.006874 Loss_D_real: -0.025951 Loss_D_fake -0.006086
[1644/5000][410/535][169738] Loss_D: -0.019193 Loss_G: 0.005358 Loss_D_real: 0.004695 Loss_D_fake 0.023888
[1644/5000][415/535][169739] Loss_D: -0.019142 Loss_G: 0.013068 Loss_D_real: -0.010250 Loss_D_fake 0.008892
[1644/5000][420/535][169740] Loss_D: -0.018815 Loss_G: 0.011763 Loss_D_real: -0.018677 Loss_D_fake 0.000138
[1644/5000][425/535][169741] Loss_D: -0.019057 Loss_G: 0.012914 Loss_D_real: -0.023072 Loss_D_fake -0.004015
[1644/5000][430/535][169742] Loss_D: -0.019061 Loss_G: 0.017027 Loss_D_real: -0.028344 Loss_D_fake -0.009283
[1644/5000][435/535][169743] Loss_D: -0.018753 Loss_G: -0.012756 Loss_D_real: -0.010493 Loss_D_fake 0.008260
[1644/5000][440/535][169744] Loss_D: -0.018978 Loss_G: 0.009151 Loss_D_real: -0.010597 Loss_D_fake 0.008381
[1644/5000][445/535][169745] Loss_D: -0.019996 Loss_G: 0.014683 Loss_D_real: -0.014084 Loss_D_fake 0.005911
[1644/5000][450/535][169746] Loss_D: -0.018626 Loss_G: -0.007244 Loss_D_real: -0.004680 Loss_D_fake 0.013946
[1644/5000][455/535][169747] Loss_D: -0.019356 Loss_G: 0.007030 Loss_D_real: -0.015452 Loss_D_fake 0.003904
[1644/5000][460/535][169748] Loss_D: -0.019581 Loss_G: -0.009716 Loss_D_real: -0.005419 Loss_D_fake 0.014162
[1644/5000][465/535][169749] Loss_D: -0.019257 Loss_G: 0.014937 Loss_D_real: -0.016274 Loss_D_fake 0.002983
[1644/5000][470/535][169750] Loss_D: -0.017489 Loss_G: 0.027600 Loss_D_real: -0.030663 Loss_D_fake -0.013174
[1644/5000][475/535][169751] Loss_D: -0.018586 Loss_G: -0.005822 Loss_D_real: -0.000355 Loss_D_fake 0.018231
[1644/5000][480/535][169752] Loss_D: -0.013294 Loss_G: 0.025683 Loss_D_real: -0.038671 Loss_D_fake -0.025377
[1644/5000][485/535][169753] Loss_D: -0.018385 Loss_G: 0.013849 Loss_D_real: -0.030314 Loss_D_fake -0.011929
[1644/5000][490/535][169754] Loss_D: -0.019773 Loss_G: 0.012787 Loss_D_real: -0.014164 Loss_D_fake 0.005609
[1644/5000][495/535][169755] Loss_D: -0.017444 Loss_G: 0.017321 Loss_D_real: -0.030173 Loss_D_fake -0.012729
[1644/5000][500/535][169756] Loss_D: -0.020725 Loss_G: 0.000673 Loss_D_real: -0.009260 Loss_D_fake 0.011465
[1644/5000][505/535][169757] Loss_D: -0.019316 Loss_G: 0.007728 Loss_D_real: -0.019568 Loss_D_fake -0.000252
[1644/5000][510/535][169758] Loss_D: -0.020023 Loss_G: 0.005150 Loss_D_real: -0.020384 Loss_D_fake -0.000361
[1644/5000][515/535][169759] Loss_D: -0.020788 Loss_G: 0.000715 Loss_D_real: -0.012848 Loss_D_fake 0.007940
[1644/5000][520/535][169760] Loss_D: -0.019720 Loss_G: 0.019432 Loss_D_real: -0.015659 Loss_D_fake 0.004061
[1644/5000][525/535][169761] Loss_D: -0.019723 Loss_G: 0.017769 Loss_D_real: -0.022053 Loss_D_fake -0.002330
[1644/5000][530/535][169762] Loss_D: -0.019530 Loss_G: -0.004888 Loss_D_real: -0.012037 Loss_D_fake 0.007493
[1644/5000][535/535][169763] Loss_D: -0.020790 Loss_G: 0.006272 Loss_D_real: -0.004207 Loss_D_fake 0.016583
[1645/5000][5/535][169764] Loss_D: -0.018843 Loss_G: 0.011308 Loss_D_real: -0.012703 Loss_D_fake 0.006140
[1645/5000][10/535][169765] Loss_D: -0.021242 Loss_G: 0.008170 Loss_D_real: -0.017410 Loss_D_fake 0.003832
[1645/5000][15/535][169766] Loss_D: -0.018444 Loss_G: 0.001707 Loss_D_real: -0.002545 Loss_D_fake 0.015899
[1645/5000][20/535][169767] Loss_D: -0.019557 Loss_G: 0.014435 Loss_D_real: -0.026083 Loss_D_fake -0.006526
[1645/5000][25/535][169768] Loss_D: -0.018790 Loss_G: 0.014790 Loss_D_real: -0.023791 Loss_D_fake -0.005001
[1645/5000][30/535][169769] Loss_D: -0.019770 Loss_G: 0.008177 Loss_D_real: -0.020947 Loss_D_fake -0.001177
[1645/5000][35/535][169770] Loss_D: -0.018801 Loss_G: -0.010523 Loss_D_real: -0.018186 Loss_D_fake 0.000615
[1645/5000][40/535][169771] Loss_D: -0.017714 Loss_G: 0.013564 Loss_D_real: -0.009931 Loss_D_fake 0.007783
[1645/5000][45/535][169772] Loss_D: -0.020151 Loss_G: 0.007242 Loss_D_real: -0.022697 Loss_D_fake -0.002546
[1645/5000][50/535][169773] Loss_D: -0.020181 Loss_G: 0.007253 Loss_D_real: -0.019904 Loss_D_fake 0.000277
[1645/5000][55/535][169774] Loss_D: -0.019424 Loss_G: 0.002473 Loss_D_real: -0.024221 Loss_D_fake -0.004797
[1645/5000][60/535][169775] Loss_D: -0.017831 Loss_G: 0.021653 Loss_D_real: -0.020529 Loss_D_fake -0.002698
[1645/5000][65/535][169776] Loss_D: -0.018808 Loss_G: 0.005812 Loss_D_real: -0.018342 Loss_D_fake 0.000467
[1645/5000][70/535][169777] Loss_D: -0.018422 Loss_G: -0.007273 Loss_D_real: 0.001137 Loss_D_fake 0.019559
[1645/5000][75/535][169778] Loss_D: -0.019244 Loss_G: 0.000561 Loss_D_real: -0.027730 Loss_D_fake -0.008486
[1645/5000][80/535][169779] Loss_D: -0.018509 Loss_G: -0.002178 Loss_D_real: 0.000208 Loss_D_fake 0.018717
[1645/5000][85/535][169780] Loss_D: -0.019305 Loss_G: 0.014581 Loss_D_real: -0.007040 Loss_D_fake 0.012264
[1645/5000][90/535][169781] Loss_D: -0.020698 Loss_G: 0.008320 Loss_D_real: -0.007936 Loss_D_fake 0.012762
[1645/5000][95/535][169782] Loss_D: -0.018968 Loss_G: 0.008786 Loss_D_real: -0.008821 Loss_D_fake 0.010147
[1645/5000][100/535][169783] Loss_D: -0.018778 Loss_G: 0.025509 Loss_D_real: -0.018513 Loss_D_fake 0.000265
[1645/5000][105/535][169784] Loss_D: -0.018673 Loss_G: 0.005836 Loss_D_real: -0.009805 Loss_D_fake 0.008868
[1645/5000][110/535][169785] Loss_D: -0.018562 Loss_G: 0.009125 Loss_D_real: -0.021115 Loss_D_fake -0.002554
[1645/5000][115/535][169786] Loss_D: -0.018880 Loss_G: 0.012991 Loss_D_real: -0.005993 Loss_D_fake 0.012887
[1645/5000][120/535][169787] Loss_D: -0.018228 Loss_G: 0.003892 Loss_D_real: -0.018251 Loss_D_fake -0.000023
[1645/5000][125/535][169788] Loss_D: -0.018253 Loss_G: -0.017822 Loss_D_real: 0.004503 Loss_D_fake 0.022757
[1645/5000][130/535][169789] Loss_D: -0.018007 Loss_G: 0.007532 Loss_D_real: -0.024900 Loss_D_fake -0.006892
[1645/5000][135/535][169790] Loss_D: -0.019896 Loss_G: 0.012797 Loss_D_real: -0.015873 Loss_D_fake 0.004024
[1645/5000][140/535][169791] Loss_D: -0.021002 Loss_G: 0.005438 Loss_D_real: -0.000011 Loss_D_fake 0.020991
[1645/5000][145/535][169792] Loss_D: -0.019742 Loss_G: 0.025821 Loss_D_real: -0.026593 Loss_D_fake -0.006851
[1645/5000][150/535][169793] Loss_D: -0.018883 Loss_G: 0.008194 Loss_D_real: -0.015921 Loss_D_fake 0.002962
[1645/5000][155/535][169794] Loss_D: -0.019535 Loss_G: 0.009040 Loss_D_real: -0.021592 Loss_D_fake -0.002056
[1645/5000][160/535][169795] Loss_D: -0.020051 Loss_G: 0.030389 Loss_D_real: -0.031502 Loss_D_fake -0.011451
[1645/5000][165/535][169796] Loss_D: -0.021179 Loss_G: -0.016651 Loss_D_real: -0.008867 Loss_D_fake 0.012312
[1645/5000][170/535][169797] Loss_D: -0.019466 Loss_G: -0.002814 Loss_D_real: -0.006877 Loss_D_fake 0.012589
[1645/5000][175/535][169798] Loss_D: -0.018076 Loss_G: 0.023078 Loss_D_real: -0.029872 Loss_D_fake -0.011797
[1645/5000][180/535][169799] Loss_D: -0.019155 Loss_G: 0.021380 Loss_D_real: -0.009471 Loss_D_fake 0.009684
[1645/5000][185/535][169800] Loss_D: -0.018060 Loss_G: 0.016214 Loss_D_real: -0.015704 Loss_D_fake 0.002356
[1645/5000][190/535][169801] Loss_D: -0.019301 Loss_G: -0.019512 Loss_D_real: -0.006691 Loss_D_fake 0.012610
[1645/5000][195/535][169802] Loss_D: -0.019914 Loss_G: 0.012828 Loss_D_real: -0.022731 Loss_D_fake -0.002817
[1645/5000][200/535][169803] Loss_D: -0.017758 Loss_G: -0.007400 Loss_D_real: -0.010270 Loss_D_fake 0.007487
[1645/5000][205/535][169804] Loss_D: -0.019345 Loss_G: 0.002666 Loss_D_real: -0.003964 Loss_D_fake 0.015381
[1645/5000][210/535][169805] Loss_D: -0.019150 Loss_G: 0.012418 Loss_D_real: -0.011122 Loss_D_fake 0.008028
[1645/5000][215/535][169806] Loss_D: -0.019482 Loss_G: 0.005529 Loss_D_real: -0.031289 Loss_D_fake -0.011808
[1645/5000][220/535][169807] Loss_D: -0.018799 Loss_G: 0.003766 Loss_D_real: -0.009584 Loss_D_fake 0.009215
[1645/5000][225/535][169808] Loss_D: -0.016766 Loss_G: 0.029531 Loss_D_real: -0.029796 Loss_D_fake -0.013030
[1645/5000][230/535][169809] Loss_D: -0.018778 Loss_G: 0.003308 Loss_D_real: -0.005179 Loss_D_fake 0.013599
[1645/5000][235/535][169810] Loss_D: -0.019280 Loss_G: 0.004026 Loss_D_real: -0.009744 Loss_D_fake 0.009536
[1645/5000][240/535][169811] Loss_D: -0.017462 Loss_G: 0.000880 Loss_D_real: -0.003985 Loss_D_fake 0.013477
[1645/5000][245/535][169812] Loss_D: -0.018693 Loss_G: 0.006590 Loss_D_real: -0.003998 Loss_D_fake 0.014695
[1645/5000][250/535][169813] Loss_D: -0.018684 Loss_G: -0.007637 Loss_D_real: -0.014771 Loss_D_fake 0.003913
[1645/5000][255/535][169814] Loss_D: -0.018968 Loss_G: -0.009205 Loss_D_real: -0.003330 Loss_D_fake 0.015638
[1645/5000][260/535][169815] Loss_D: -0.018859 Loss_G: 0.019848 Loss_D_real: -0.020389 Loss_D_fake -0.001530
[1645/5000][265/535][169816] Loss_D: -0.019907 Loss_G: 0.007504 Loss_D_real: -0.009863 Loss_D_fake 0.010044
[1645/5000][270/535][169817] Loss_D: -0.019411 Loss_G: 0.008333 Loss_D_real: -0.001799 Loss_D_fake 0.017613
[1645/5000][275/535][169818] Loss_D: -0.018819 Loss_G: 0.000021 Loss_D_real: -0.006908 Loss_D_fake 0.011911
[1645/5000][280/535][169819] Loss_D: -0.019766 Loss_G: -0.007727 Loss_D_real: 0.002084 Loss_D_fake 0.021849
[1645/5000][285/535][169820] Loss_D: -0.019896 Loss_G: -0.009368 Loss_D_real: -0.003715 Loss_D_fake 0.016181
[1645/5000][290/535][169821] Loss_D: -0.018918 Loss_G: 0.009331 Loss_D_real: -0.015050 Loss_D_fake 0.003868
[1645/5000][295/535][169822] Loss_D: -0.020114 Loss_G: 0.005532 Loss_D_real: -0.012290 Loss_D_fake 0.007824
[1645/5000][300/535][169823] Loss_D: -0.019187 Loss_G: 0.014668 Loss_D_real: -0.017683 Loss_D_fake 0.001504
[1645/5000][305/535][169824] Loss_D: -0.019058 Loss_G: 0.015037 Loss_D_real: -0.012557 Loss_D_fake 0.006501
[1645/5000][310/535][169825] Loss_D: -0.019915 Loss_G: 0.012983 Loss_D_real: -0.019574 Loss_D_fake 0.000341
[1645/5000][315/535][169826] Loss_D: -0.019543 Loss_G: 0.027213 Loss_D_real: -0.020167 Loss_D_fake -0.000624
[1645/5000][320/535][169827] Loss_D: -0.020686 Loss_G: 0.009790 Loss_D_real: -0.023929 Loss_D_fake -0.003243
[1645/5000][325/535][169828] Loss_D: -0.020496 Loss_G: 0.018707 Loss_D_real: -0.011522 Loss_D_fake 0.008974
[1645/5000][330/535][169829] Loss_D: -0.019333 Loss_G: 0.010672 Loss_D_real: -0.016603 Loss_D_fake 0.002730
[1645/5000][335/535][169830] Loss_D: -0.019373 Loss_G: 0.012575 Loss_D_real: -0.016755 Loss_D_fake 0.002617
[1645/5000][340/535][169831] Loss_D: -0.018160 Loss_G: 0.008342 Loss_D_real: -0.018936 Loss_D_fake -0.000777
[1645/5000][345/535][169832] Loss_D: -0.019838 Loss_G: 0.020579 Loss_D_real: -0.027110 Loss_D_fake -0.007272
[1645/5000][350/535][169833] Loss_D: -0.020086 Loss_G: -0.016101 Loss_D_real: -0.014702 Loss_D_fake 0.005384
[1645/5000][355/535][169834] Loss_D: -0.018683 Loss_G: 0.008966 Loss_D_real: -0.000442 Loss_D_fake 0.018241
[1645/5000][360/535][169835] Loss_D: -0.019025 Loss_G: 0.029506 Loss_D_real: -0.031610 Loss_D_fake -0.012585
[1645/5000][365/535][169836] Loss_D: -0.019036 Loss_G: 0.010787 Loss_D_real: -0.015950 Loss_D_fake 0.003086
[1645/5000][370/535][169837] Loss_D: -0.020693 Loss_G: -0.000505 Loss_D_real: -0.001342 Loss_D_fake 0.019352
[1645/5000][375/535][169838] Loss_D: -0.019874 Loss_G: -0.003251 Loss_D_real: -0.005710 Loss_D_fake 0.014164
[1645/5000][380/535][169839] Loss_D: -0.018477 Loss_G: 0.013756 Loss_D_real: -0.028977 Loss_D_fake -0.010499
[1645/5000][385/535][169840] Loss_D: -0.018911 Loss_G: 0.020223 Loss_D_real: -0.032164 Loss_D_fake -0.013253
[1645/5000][390/535][169841] Loss_D: -0.019576 Loss_G: 0.002379 Loss_D_real: -0.006897 Loss_D_fake 0.012680
[1645/5000][395/535][169842] Loss_D: -0.019178 Loss_G: 0.020436 Loss_D_real: -0.033792 Loss_D_fake -0.014613
[1645/5000][400/535][169843] Loss_D: -0.019265 Loss_G: -0.000540 Loss_D_real: -0.005916 Loss_D_fake 0.013349
[1645/5000][405/535][169844] Loss_D: -0.018896 Loss_G: 0.003668 Loss_D_real: -0.022547 Loss_D_fake -0.003651
[1645/5000][410/535][169845] Loss_D: -0.018534 Loss_G: 0.016914 Loss_D_real: -0.026694 Loss_D_fake -0.008159
[1645/5000][415/535][169846] Loss_D: -0.018243 Loss_G: 0.015407 Loss_D_real: -0.022252 Loss_D_fake -0.004009
[1645/5000][420/535][169847] Loss_D: -0.019096 Loss_G: 0.005535 Loss_D_real: -0.009656 Loss_D_fake 0.009440
[1645/5000][425/535][169848] Loss_D: -0.019501 Loss_G: -0.001687 Loss_D_real: -0.012719 Loss_D_fake 0.006782
[1645/5000][430/535][169849] Loss_D: -0.017902 Loss_G: 0.008450 Loss_D_real: -0.012756 Loss_D_fake 0.005146
[1645/5000][435/535][169850] Loss_D: -0.018618 Loss_G: 0.020479 Loss_D_real: -0.027536 Loss_D_fake -0.008918
[1645/5000][440/535][169851] Loss_D: -0.019526 Loss_G: 0.006238 Loss_D_real: -0.016609 Loss_D_fake 0.002917
[1645/5000][445/535][169852] Loss_D: -0.019617 Loss_G: 0.009426 Loss_D_real: -0.007506 Loss_D_fake 0.012112
[1645/5000][450/535][169853] Loss_D: -0.019866 Loss_G: 0.022491 Loss_D_real: -0.016141 Loss_D_fake 0.003725
[1645/5000][455/535][169854] Loss_D: -0.019645 Loss_G: 0.005164 Loss_D_real: -0.016312 Loss_D_fake 0.003332
[1645/5000][460/535][169855] Loss_D: -0.019834 Loss_G: 0.003502 Loss_D_real: -0.018221 Loss_D_fake 0.001613
[1645/5000][465/535][169856] Loss_D: -0.018932 Loss_G: -0.007806 Loss_D_real: 0.001027 Loss_D_fake 0.019959
[1645/5000][470/535][169857] Loss_D: -0.019046 Loss_G: 0.003595 Loss_D_real: -0.015212 Loss_D_fake 0.003834
[1645/5000][475/535][169858] Loss_D: -0.019293 Loss_G: 0.010271 Loss_D_real: -0.023441 Loss_D_fake -0.004148
[1645/5000][480/535][169859] Loss_D: -0.019048 Loss_G: 0.012865 Loss_D_real: -0.023873 Loss_D_fake -0.004825
[1645/5000][485/535][169860] Loss_D: -0.021131 Loss_G: 0.011722 Loss_D_real: -0.020793 Loss_D_fake 0.000338
[1645/5000][490/535][169861] Loss_D: -0.020931 Loss_G: 0.007473 Loss_D_real: -0.015767 Loss_D_fake 0.005163
[1645/5000][495/535][169862] Loss_D: -0.019655 Loss_G: 0.009748 Loss_D_real: -0.019547 Loss_D_fake 0.000108
[1645/5000][500/535][169863] Loss_D: -0.017622 Loss_G: -0.005184 Loss_D_real: -0.001314 Loss_D_fake 0.016308
[1645/5000][505/535][169864] Loss_D: -0.020266 Loss_G: -0.001412 Loss_D_real: -0.014877 Loss_D_fake 0.005389
[1645/5000][510/535][169865] Loss_D: -0.018809 Loss_G: 0.002809 Loss_D_real: -0.009814 Loss_D_fake 0.008994
[1645/5000][515/535][169866] Loss_D: -0.018660 Loss_G: 0.007602 Loss_D_real: -0.025428 Loss_D_fake -0.006768
[1645/5000][520/535][169867] Loss_D: -0.019594 Loss_G: 0.008471 Loss_D_real: -0.015535 Loss_D_fake 0.004059
[1645/5000][525/535][169868] Loss_D: -0.019253 Loss_G: 0.005644 Loss_D_real: -0.017396 Loss_D_fake 0.001857
[1645/5000][530/535][169869] Loss_D: -0.020272 Loss_G: 0.016288 Loss_D_real: -0.009173 Loss_D_fake 0.011099
[1645/5000][535/535][169870] Loss_D: -0.017496 Loss_G: -0.002702 Loss_D_real: -0.017247 Loss_D_fake 0.000249
[1646/5000][5/535][169871] Loss_D: -0.019899 Loss_G: 0.010960 Loss_D_real: -0.020104 Loss_D_fake -0.000205
[1646/5000][10/535][169872] Loss_D: -0.020756 Loss_G: 0.014560 Loss_D_real: -0.019327 Loss_D_fake 0.001429
[1646/5000][15/535][169873] Loss_D: -0.019071 Loss_G: -0.009004 Loss_D_real: -0.018097 Loss_D_fake 0.000974
[1646/5000][20/535][169874] Loss_D: -0.018290 Loss_G: 0.000772 Loss_D_real: -0.007846 Loss_D_fake 0.010444
[1646/5000][25/535][169875] Loss_D: -0.018996 Loss_G: 0.003131 Loss_D_real: -0.010528 Loss_D_fake 0.008468
[1646/5000][30/535][169876] Loss_D: -0.019579 Loss_G: 0.003674 Loss_D_real: -0.014629 Loss_D_fake 0.004950
[1646/5000][35/535][169877] Loss_D: -0.019586 Loss_G: -0.008472 Loss_D_real: -0.006410 Loss_D_fake 0.013176
[1646/5000][40/535][169878] Loss_D: -0.018949 Loss_G: 0.023501 Loss_D_real: -0.025497 Loss_D_fake -0.006547
[1646/5000][45/535][169879] Loss_D: -0.018399 Loss_G: 0.010234 Loss_D_real: -0.017852 Loss_D_fake 0.000547
[1646/5000][50/535][169880] Loss_D: -0.019742 Loss_G: 0.012826 Loss_D_real: -0.021805 Loss_D_fake -0.002063
[1646/5000][55/535][169881] Loss_D: -0.020336 Loss_G: 0.013441 Loss_D_real: -0.016868 Loss_D_fake 0.003468
[1646/5000][60/535][169882] Loss_D: -0.020312 Loss_G: -0.017227 Loss_D_real: 0.001061 Loss_D_fake 0.021373
[1646/5000][65/535][169883] Loss_D: -0.018932 Loss_G: 0.018493 Loss_D_real: -0.025623 Loss_D_fake -0.006690
[1646/5000][70/535][169884] Loss_D: -0.019069 Loss_G: 0.020440 Loss_D_real: -0.025457 Loss_D_fake -0.006388
[1646/5000][75/535][169885] Loss_D: -0.020037 Loss_G: 0.002004 Loss_D_real: -0.020600 Loss_D_fake -0.000564
[1646/5000][80/535][169886] Loss_D: -0.020386 Loss_G: -0.004025 Loss_D_real: -0.011256 Loss_D_fake 0.009130
[1646/5000][85/535][169887] Loss_D: -0.019525 Loss_G: -0.013029 Loss_D_real: -0.014080 Loss_D_fake 0.005445
[1646/5000][90/535][169888] Loss_D: -0.019202 Loss_G: 0.011372 Loss_D_real: -0.011308 Loss_D_fake 0.007894
[1646/5000][95/535][169889] Loss_D: -0.019853 Loss_G: 0.017599 Loss_D_real: -0.018022 Loss_D_fake 0.001831
[1646/5000][100/535][169890] Loss_D: -0.018142 Loss_G: 0.002250 Loss_D_real: -0.025288 Loss_D_fake -0.007146
[1646/5000][105/535][169891] Loss_D: -0.020047 Loss_G: 0.019847 Loss_D_real: -0.014481 Loss_D_fake 0.005566
[1646/5000][110/535][169892] Loss_D: -0.019214 Loss_G: 0.035178 Loss_D_real: -0.019199 Loss_D_fake 0.000015
[1646/5000][115/535][169893] Loss_D: -0.019027 Loss_G: -0.001922 Loss_D_real: -0.018796 Loss_D_fake 0.000230
[1646/5000][120/535][169894] Loss_D: -0.018889 Loss_G: 0.003498 Loss_D_real: -0.009086 Loss_D_fake 0.009803
[1646/5000][125/535][169895] Loss_D: -0.018914 Loss_G: 0.017438 Loss_D_real: -0.025947 Loss_D_fake -0.007033
[1646/5000][130/535][169896] Loss_D: -0.019609 Loss_G: 0.006024 Loss_D_real: 0.001781 Loss_D_fake 0.021390
[1646/5000][135/535][169897] Loss_D: -0.020286 Loss_G: -0.003504 Loss_D_real: 0.000834 Loss_D_fake 0.021120
[1646/5000][140/535][169898] Loss_D: -0.019717 Loss_G: 0.001522 Loss_D_real: -0.016130 Loss_D_fake 0.003587
[1646/5000][145/535][169899] Loss_D: -0.019484 Loss_G: 0.010430 Loss_D_real: -0.018724 Loss_D_fake 0.000760
[1646/5000][150/535][169900] Loss_D: -0.018429 Loss_G: -0.008337 Loss_D_real: -0.001836 Loss_D_fake 0.016593
[1646/5000][155/535][169901] Loss_D: -0.019683 Loss_G: 0.009508 Loss_D_real: -0.012040 Loss_D_fake 0.007643
[1646/5000][160/535][169902] Loss_D: -0.018681 Loss_G: -0.002114 Loss_D_real: -0.019676 Loss_D_fake -0.000995
[1646/5000][165/535][169903] Loss_D: -0.018843 Loss_G: -0.001235 Loss_D_real: 0.002224 Loss_D_fake 0.021067
[1646/5000][170/535][169904] Loss_D: -0.019670 Loss_G: 0.013027 Loss_D_real: -0.016253 Loss_D_fake 0.003417
[1646/5000][175/535][169905] Loss_D: -0.017530 Loss_G: 0.016394 Loss_D_real: -0.027115 Loss_D_fake -0.009585
[1646/5000][180/535][169906] Loss_D: -0.018316 Loss_G: -0.004513 Loss_D_real: -0.007936 Loss_D_fake 0.010381
[1646/5000][185/535][169907] Loss_D: -0.018581 Loss_G: -0.007165 Loss_D_real: -0.005231 Loss_D_fake 0.013350
[1646/5000][190/535][169908] Loss_D: -0.017852 Loss_G: -0.004014 Loss_D_real: -0.008204 Loss_D_fake 0.009648
[1646/5000][195/535][169909] Loss_D: -0.019058 Loss_G: -0.001861 Loss_D_real: -0.019463 Loss_D_fake -0.000405
[1646/5000][200/535][169910] Loss_D: -0.019845 Loss_G: -0.000382 Loss_D_real: -0.006838 Loss_D_fake 0.013007
[1646/5000][205/535][169911] Loss_D: -0.017229 Loss_G: -0.012116 Loss_D_real: 0.001477 Loss_D_fake 0.018706
[1646/5000][210/535][169912] Loss_D: -0.018050 Loss_G: 0.042616 Loss_D_real: -0.021808 Loss_D_fake -0.003758
[1646/5000][215/535][169913] Loss_D: -0.017814 Loss_G: -0.006560 Loss_D_real: -0.015796 Loss_D_fake 0.002018
[1646/5000][220/535][169914] Loss_D: -0.019092 Loss_G: 0.002730 Loss_D_real: -0.033281 Loss_D_fake -0.014190
[1646/5000][225/535][169915] Loss_D: -0.019093 Loss_G: 0.007999 Loss_D_real: -0.020265 Loss_D_fake -0.001171
[1646/5000][230/535][169916] Loss_D: -0.019275 Loss_G: 0.006711 Loss_D_real: -0.014217 Loss_D_fake 0.005057
[1646/5000][235/535][169917] Loss_D: -0.018469 Loss_G: 0.008324 Loss_D_real: -0.015454 Loss_D_fake 0.003014
[1646/5000][240/535][169918] Loss_D: -0.019690 Loss_G: 0.000635 Loss_D_real: -0.021595 Loss_D_fake -0.001905
[1646/5000][245/535][169919] Loss_D: -0.018649 Loss_G: -0.005640 Loss_D_real: -0.015751 Loss_D_fake 0.002898
[1646/5000][250/535][169920] Loss_D: -0.018343 Loss_G: 0.019886 Loss_D_real: -0.015441 Loss_D_fake 0.002902
[1646/5000][255/535][169921] Loss_D: -0.019411 Loss_G: 0.027485 Loss_D_real: -0.021376 Loss_D_fake -0.001965
[1646/5000][260/535][169922] Loss_D: -0.018981 Loss_G: -0.002526 Loss_D_real: -0.005132 Loss_D_fake 0.013849
[1646/5000][265/535][169923] Loss_D: -0.016661 Loss_G: 0.024512 Loss_D_real: -0.028639 Loss_D_fake -0.011978
[1646/5000][270/535][169924] Loss_D: -0.019087 Loss_G: 0.015520 Loss_D_real: -0.029805 Loss_D_fake -0.010718
[1646/5000][275/535][169925] Loss_D: -0.019791 Loss_G: -0.002996 Loss_D_real: -0.018140 Loss_D_fake 0.001651
[1646/5000][280/535][169926] Loss_D: -0.019245 Loss_G: 0.015640 Loss_D_real: -0.014496 Loss_D_fake 0.004750
[1646/5000][285/535][169927] Loss_D: -0.019611 Loss_G: 0.021823 Loss_D_real: -0.014756 Loss_D_fake 0.004855
[1646/5000][290/535][169928] Loss_D: -0.019587 Loss_G: -0.010709 Loss_D_real: -0.010197 Loss_D_fake 0.009390
[1646/5000][295/535][169929] Loss_D: -0.021282 Loss_G: 0.010126 Loss_D_real: -0.004360 Loss_D_fake 0.016922
[1646/5000][300/535][169930] Loss_D: -0.018770 Loss_G: 0.017621 Loss_D_real: -0.025329 Loss_D_fake -0.006559
[1646/5000][305/535][169931] Loss_D: -0.019116 Loss_G: 0.013283 Loss_D_real: -0.021092 Loss_D_fake -0.001976
[1646/5000][310/535][169932] Loss_D: -0.018480 Loss_G: 0.000580 Loss_D_real: -0.010225 Loss_D_fake 0.008255
[1646/5000][315/535][169933] Loss_D: -0.020037 Loss_G: 0.020743 Loss_D_real: -0.021287 Loss_D_fake -0.001250
[1646/5000][320/535][169934] Loss_D: -0.018975 Loss_G: 0.010660 Loss_D_real: -0.019402 Loss_D_fake -0.000426
[1646/5000][325/535][169935] Loss_D: -0.019259 Loss_G: 0.011556 Loss_D_real: -0.014121 Loss_D_fake 0.005138
[1646/5000][330/535][169936] Loss_D: -0.020076 Loss_G: -0.009791 Loss_D_real: -0.008270 Loss_D_fake 0.011806
[1646/5000][335/535][169937] Loss_D: -0.018954 Loss_G: 0.022032 Loss_D_real: -0.029689 Loss_D_fake -0.010734
[1646/5000][340/535][169938] Loss_D: -0.022344 Loss_G: 0.014147 Loss_D_real: -0.010944 Loss_D_fake 0.011401
[1646/5000][345/535][169939] Loss_D: -0.019780 Loss_G: 0.014656 Loss_D_real: -0.023301 Loss_D_fake -0.003521
[1646/5000][350/535][169940] Loss_D: -0.019978 Loss_G: 0.007403 Loss_D_real: -0.006642 Loss_D_fake 0.013336
[1646/5000][355/535][169941] Loss_D: -0.019223 Loss_G: 0.017639 Loss_D_real: -0.022362 Loss_D_fake -0.003139
[1646/5000][360/535][169942] Loss_D: -0.019762 Loss_G: -0.004895 Loss_D_real: -0.001112 Loss_D_fake 0.018650
[1646/5000][365/535][169943] Loss_D: -0.019186 Loss_G: -0.002798 Loss_D_real: -0.011458 Loss_D_fake 0.007728
[1646/5000][370/535][169944] Loss_D: -0.019686 Loss_G: 0.003024 Loss_D_real: -0.017977 Loss_D_fake 0.001709
[1646/5000][375/535][169945] Loss_D: -0.018172 Loss_G: -0.016339 Loss_D_real: 0.003872 Loss_D_fake 0.022045
[1646/5000][380/535][169946] Loss_D: -0.018326 Loss_G: 0.014855 Loss_D_real: -0.019502 Loss_D_fake -0.001176
[1646/5000][385/535][169947] Loss_D: -0.018337 Loss_G: 0.022700 Loss_D_real: -0.023375 Loss_D_fake -0.005039
[1646/5000][390/535][169948] Loss_D: -0.019058 Loss_G: -0.005128 Loss_D_real: -0.010025 Loss_D_fake 0.009032
[1646/5000][395/535][169949] Loss_D: -0.020502 Loss_G: -0.000865 Loss_D_real: 0.002350 Loss_D_fake 0.022853
[1646/5000][400/535][169950] Loss_D: -0.018253 Loss_G: -0.008511 Loss_D_real: -0.005082 Loss_D_fake 0.013170
[1646/5000][405/535][169951] Loss_D: -0.018320 Loss_G: -0.004303 Loss_D_real: -0.000347 Loss_D_fake 0.017974
[1646/5000][410/535][169952] Loss_D: -0.019290 Loss_G: 0.002478 Loss_D_real: -0.006354 Loss_D_fake 0.012936
[1646/5000][415/535][169953] Loss_D: -0.019849 Loss_G: 0.015380 Loss_D_real: -0.015264 Loss_D_fake 0.004585
[1646/5000][420/535][169954] Loss_D: -0.018801 Loss_G: -0.002202 Loss_D_real: -0.015064 Loss_D_fake 0.003737
[1646/5000][425/535][169955] Loss_D: -0.018520 Loss_G: -0.006417 Loss_D_real: -0.008233 Loss_D_fake 0.010287
[1646/5000][430/535][169956] Loss_D: -0.018589 Loss_G: 0.013940 Loss_D_real: -0.020249 Loss_D_fake -0.001660
[1646/5000][435/535][169957] Loss_D: -0.019283 Loss_G: 0.013490 Loss_D_real: -0.023139 Loss_D_fake -0.003857
[1646/5000][440/535][169958] Loss_D: -0.018945 Loss_G: 0.024452 Loss_D_real: -0.022927 Loss_D_fake -0.003982
[1646/5000][445/535][169959] Loss_D: -0.018796 Loss_G: -0.011148 Loss_D_real: 0.001800 Loss_D_fake 0.020596
[1646/5000][450/535][169960] Loss_D: -0.019841 Loss_G: 0.016483 Loss_D_real: -0.007069 Loss_D_fake 0.012772
[1646/5000][455/535][169961] Loss_D: -0.019883 Loss_G: -0.009724 Loss_D_real: -0.003753 Loss_D_fake 0.016130
[1646/5000][460/535][169962] Loss_D: -0.020146 Loss_G: 0.012981 Loss_D_real: -0.005931 Loss_D_fake 0.014215
[1646/5000][465/535][169963] Loss_D: -0.019896 Loss_G: -0.007523 Loss_D_real: -0.004561 Loss_D_fake 0.015335
[1646/5000][470/535][169964] Loss_D: -0.018544 Loss_G: 0.002118 Loss_D_real: -0.013649 Loss_D_fake 0.004895
[1646/5000][475/535][169965] Loss_D: -0.019795 Loss_G: 0.028319 Loss_D_real: -0.020780 Loss_D_fake -0.000985
[1646/5000][480/535][169966] Loss_D: -0.019933 Loss_G: -0.016863 Loss_D_real: -0.015502 Loss_D_fake 0.004431
[1646/5000][485/535][169967] Loss_D: -0.018982 Loss_G: -0.001155 Loss_D_real: -0.008545 Loss_D_fake 0.010437
[1646/5000][490/535][169968] Loss_D: -0.019668 Loss_G: 0.030464 Loss_D_real: -0.009504 Loss_D_fake 0.010163
[1646/5000][495/535][169969] Loss_D: -0.018239 Loss_G: -0.018033 Loss_D_real: -0.000608 Loss_D_fake 0.017631
[1646/5000][500/535][169970] Loss_D: -0.019724 Loss_G: 0.004041 Loss_D_real: -0.005086 Loss_D_fake 0.014637
[1646/5000][505/535][169971] Loss_D: -0.018462 Loss_G: 0.018180 Loss_D_real: -0.028782 Loss_D_fake -0.010320
[1646/5000][510/535][169972] Loss_D: -0.019005 Loss_G: 0.006962 Loss_D_real: -0.023497 Loss_D_fake -0.004493
[1646/5000][515/535][169973] Loss_D: -0.018212 Loss_G: 0.011502 Loss_D_real: -0.037954 Loss_D_fake -0.019741
[1646/5000][520/535][169974] Loss_D: -0.018470 Loss_G: 0.015240 Loss_D_real: -0.015271 Loss_D_fake 0.003199
[1646/5000][525/535][169975] Loss_D: -0.019488 Loss_G: 0.005527 Loss_D_real: -0.017680 Loss_D_fake 0.001808
[1646/5000][530/535][169976] Loss_D: -0.017554 Loss_G: 0.009390 Loss_D_real: -0.019715 Loss_D_fake -0.002161
[1646/5000][535/535][169977] Loss_D: -0.019115 Loss_G: 0.036348 Loss_D_real: -0.017530 Loss_D_fake 0.001585
[1647/5000][5/535][169978] Loss_D: -0.018237 Loss_G: -0.001433 Loss_D_real: -0.009872 Loss_D_fake 0.008365
[1647/5000][10/535][169979] Loss_D: -0.018613 Loss_G: 0.002413 Loss_D_real: -0.013812 Loss_D_fake 0.004801
[1647/5000][15/535][169980] Loss_D: -0.018706 Loss_G: 0.030790 Loss_D_real: -0.014453 Loss_D_fake 0.004253
[1647/5000][20/535][169981] Loss_D: -0.019542 Loss_G: -0.002541 Loss_D_real: -0.008926 Loss_D_fake 0.010615
[1647/5000][25/535][169982] Loss_D: -0.017702 Loss_G: 0.019533 Loss_D_real: -0.023114 Loss_D_fake -0.005413
[1647/5000][30/535][169983] Loss_D: -0.019656 Loss_G: -0.009883 Loss_D_real: -0.011177 Loss_D_fake 0.008479
[1647/5000][35/535][169984] Loss_D: -0.018195 Loss_G: 0.027450 Loss_D_real: -0.013244 Loss_D_fake 0.004951
[1647/5000][40/535][169985] Loss_D: -0.018493 Loss_G: 0.001206 Loss_D_real: -0.001229 Loss_D_fake 0.017264
[1647/5000][45/535][169986] Loss_D: -0.019222 Loss_G: 0.006659 Loss_D_real: -0.020996 Loss_D_fake -0.001774
[1647/5000][50/535][169987] Loss_D: -0.018081 Loss_G: 0.000225 Loss_D_real: -0.003726 Loss_D_fake 0.014355
[1647/5000][55/535][169988] Loss_D: -0.018299 Loss_G: -0.009008 Loss_D_real: -0.003182 Loss_D_fake 0.015116
[1647/5000][60/535][169989] Loss_D: -0.019064 Loss_G: 0.015228 Loss_D_real: -0.015380 Loss_D_fake 0.003684
[1647/5000][65/535][169990] Loss_D: -0.019064 Loss_G: 0.000347 Loss_D_real: -0.013556 Loss_D_fake 0.005508
[1647/5000][70/535][169991] Loss_D: -0.018933 Loss_G: -0.011052 Loss_D_real: -0.016135 Loss_D_fake 0.002798
[1647/5000][75/535][169992] Loss_D: -0.020332 Loss_G: 0.021679 Loss_D_real: -0.023920 Loss_D_fake -0.003588
[1647/5000][80/535][169993] Loss_D: -0.020144 Loss_G: -0.009610 Loss_D_real: -0.011606 Loss_D_fake 0.008538
[1647/5000][85/535][169994] Loss_D: -0.018862 Loss_G: 0.025622 Loss_D_real: -0.027211 Loss_D_fake -0.008349
[1647/5000][90/535][169995] Loss_D: -0.019706 Loss_G: 0.021897 Loss_D_real: -0.012277 Loss_D_fake 0.007429
[1647/5000][95/535][169996] Loss_D: -0.019476 Loss_G: -0.006009 Loss_D_real: 0.003862 Loss_D_fake 0.023338
[1647/5000][100/535][169997] Loss_D: -0.019565 Loss_G: 0.026269 Loss_D_real: -0.015819 Loss_D_fake 0.003746
[1647/5000][105/535][169998] Loss_D: -0.018382 Loss_G: 0.001316 Loss_D_real: -0.027011 Loss_D_fake -0.008629
[1647/5000][110/535][169999] Loss_D: -0.019702 Loss_G: 0.000175 Loss_D_real: -0.003423 Loss_D_fake 0.016279
[1647/5000][115/535][170000] Loss_D: -0.019383 Loss_G: 0.024400 Loss_D_real: -0.031254 Loss_D_fake -0.011871
[1647/5000][215/535][170001] Loss_D: -0.020561 Loss_G: -0.001020 Loss_D_real: -0.015103 Loss_D_fake 0.005458
[1647/5000][220/535][170002] Loss_D: -0.018470 Loss_G: 0.019129 Loss_D_real: -0.014399 Loss_D_fake 0.004071
[1647/5000][225/535][170003] Loss_D: -0.016392 Loss_G: -0.003000 Loss_D_real: 0.001840 Loss_D_fake 0.018232
[1647/5000][230/535][170004] Loss_D: -0.018118 Loss_G: 0.012049 Loss_D_real: -0.011219 Loss_D_fake 0.006898
[1647/5000][235/535][170005] Loss_D: -0.018316 Loss_G: 0.014093 Loss_D_real: -0.010384 Loss_D_fake 0.007933
[1647/5000][240/535][170006] Loss_D: -0.020511 Loss_G: -0.002515 Loss_D_real: -0.008579 Loss_D_fake 0.011932
[1647/5000][245/535][170007] Loss_D: -0.019028 Loss_G: -0.008304 Loss_D_real: -0.017115 Loss_D_fake 0.001913
[1647/5000][250/535][170008] Loss_D: -0.018084 Loss_G: 0.021758 Loss_D_real: -0.013316 Loss_D_fake 0.004767
[1647/5000][255/535][170009] Loss_D: -0.017977 Loss_G: 0.016126 Loss_D_real: -0.033969 Loss_D_fake -0.015992
[1647/5000][260/535][170010] Loss_D: -0.017498 Loss_G: 0.014230 Loss_D_real: -0.017170 Loss_D_fake 0.000328
[1647/5000][265/535][170011] Loss_D: -0.018086 Loss_G: 0.008213 Loss_D_real: -0.022762 Loss_D_fake -0.004676
[1647/5000][270/535][170012] Loss_D: -0.018454 Loss_G: -0.006287 Loss_D_real: -0.006479 Loss_D_fake 0.011976
[1647/5000][275/535][170013] Loss_D: -0.019036 Loss_G: 0.003541 Loss_D_real: -0.001128 Loss_D_fake 0.017908
[1647/5000][280/535][170014] Loss_D: -0.018716 Loss_G: 0.008167 Loss_D_real: 0.000310 Loss_D_fake 0.019026
[1647/5000][285/535][170015] Loss_D: -0.018808 Loss_G: 0.003855 Loss_D_real: -0.023246 Loss_D_fake -0.004438
[1647/5000][290/535][170016] Loss_D: -0.019380 Loss_G: -0.000447 Loss_D_real: -0.013963 Loss_D_fake 0.005418
[1647/5000][295/535][170017] Loss_D: -0.019801 Loss_G: 0.011399 Loss_D_real: -0.026010 Loss_D_fake -0.006208
[1647/5000][300/535][170018] Loss_D: -0.018179 Loss_G: -0.015867 Loss_D_real: 0.010238 Loss_D_fake 0.028417
[1647/5000][305/535][170019] Loss_D: -0.019200 Loss_G: 0.009261 Loss_D_real: -0.009498 Loss_D_fake 0.009702
[1647/5000][310/535][170020] Loss_D: -0.018442 Loss_G: 0.001280 Loss_D_real: -0.003267 Loss_D_fake 0.015175
[1647/5000][315/535][170021] Loss_D: -0.019231 Loss_G: 0.008062 Loss_D_real: -0.019554 Loss_D_fake -0.000323
[1647/5000][320/535][170022] Loss_D: -0.018532 Loss_G: 0.018609 Loss_D_real: -0.019198 Loss_D_fake -0.000666
[1647/5000][325/535][170023] Loss_D: -0.019937 Loss_G: 0.003124 Loss_D_real: -0.015847 Loss_D_fake 0.004090
[1647/5000][330/535][170024] Loss_D: -0.018856 Loss_G: 0.008609 Loss_D_real: -0.024116 Loss_D_fake -0.005260
[1647/5000][335/535][170025] Loss_D: -0.021168 Loss_G: -0.011227 Loss_D_real: -0.015703 Loss_D_fake 0.005465
[1647/5000][340/535][170026] Loss_D: -0.019640 Loss_G: 0.013312 Loss_D_real: -0.007725 Loss_D_fake 0.011915
[1647/5000][345/535][170027] Loss_D: -0.019750 Loss_G: 0.002785 Loss_D_real: -0.004158 Loss_D_fake 0.015592
[1647/5000][350/535][170028] Loss_D: -0.018664 Loss_G: 0.016355 Loss_D_real: -0.021700 Loss_D_fake -0.003037
[1647/5000][355/535][170029] Loss_D: -0.019119 Loss_G: 0.004032 Loss_D_real: -0.012036 Loss_D_fake 0.007083
[1647/5000][360/535][170030] Loss_D: -0.019031 Loss_G: 0.006794 Loss_D_real: -0.014996 Loss_D_fake 0.004035
[1647/5000][365/535][170031] Loss_D: -0.018376 Loss_G: 0.001372 Loss_D_real: -0.016886 Loss_D_fake 0.001491
[1647/5000][370/535][170032] Loss_D: -0.018065 Loss_G: 0.012193 Loss_D_real: -0.029500 Loss_D_fake -0.011435
[1647/5000][375/535][170033] Loss_D: -0.018714 Loss_G: 0.006242 Loss_D_real: -0.004753 Loss_D_fake 0.013962
[1647/5000][380/535][170034] Loss_D: -0.019042 Loss_G: -0.005582 Loss_D_real: -0.010354 Loss_D_fake 0.008688
[1647/5000][385/535][170035] Loss_D: -0.019275 Loss_G: 0.003863 Loss_D_real: -0.012685 Loss_D_fake 0.006591
[1647/5000][390/535][170036] Loss_D: -0.019472 Loss_G: 0.017180 Loss_D_real: -0.015321 Loss_D_fake 0.004152
[1647/5000][395/535][170037] Loss_D: -0.018142 Loss_G: 0.010305 Loss_D_real: -0.014613 Loss_D_fake 0.003529
[1647/5000][400/535][170038] Loss_D: -0.017787 Loss_G: -0.012691 Loss_D_real: -0.003769 Loss_D_fake 0.014018
[1647/5000][405/535][170039] Loss_D: -0.018106 Loss_G: 0.004264 Loss_D_real: -0.023284 Loss_D_fake -0.005179
[1647/5000][410/535][170040] Loss_D: -0.018463 Loss_G: 0.010539 Loss_D_real: -0.018775 Loss_D_fake -0.000313
[1647/5000][415/535][170041] Loss_D: -0.019284 Loss_G: -0.003973 Loss_D_real: -0.006869 Loss_D_fake 0.012415
[1647/5000][420/535][170042] Loss_D: -0.018748 Loss_G: -0.001174 Loss_D_real: -0.010523 Loss_D_fake 0.008225
[1647/5000][425/535][170043] Loss_D: -0.019813 Loss_G: 0.002234 Loss_D_real: -0.012156 Loss_D_fake 0.007657
[1647/5000][430/535][170044] Loss_D: -0.018826 Loss_G: 0.011583 Loss_D_real: -0.021883 Loss_D_fake -0.003056
[1647/5000][435/535][170045] Loss_D: -0.020226 Loss_G: 0.009320 Loss_D_real: -0.014200 Loss_D_fake 0.006026
[1647/5000][440/535][170046] Loss_D: -0.020309 Loss_G: -0.003620 Loss_D_real: -0.008641 Loss_D_fake 0.011668
[1647/5000][445/535][170047] Loss_D: -0.020223 Loss_G: 0.020655 Loss_D_real: -0.024041 Loss_D_fake -0.003818
[1647/5000][450/535][170048] Loss_D: -0.020316 Loss_G: 0.018043 Loss_D_real: -0.018283 Loss_D_fake 0.002032
[1647/5000][455/535][170049] Loss_D: -0.018820 Loss_G: -0.002244 Loss_D_real: -0.019278 Loss_D_fake -0.000458
[1647/5000][460/535][170050] Loss_D: -0.020485 Loss_G: 0.028767 Loss_D_real: -0.016982 Loss_D_fake 0.003503
[1647/5000][465/535][170051] Loss_D: -0.018202 Loss_G: -0.000749 Loss_D_real: -0.014824 Loss_D_fake 0.003379
[1647/5000][470/535][170052] Loss_D: -0.020174 Loss_G: 0.016587 Loss_D_real: -0.024884 Loss_D_fake -0.004710
[1647/5000][475/535][170053] Loss_D: -0.018422 Loss_G: -0.018504 Loss_D_real: 0.000623 Loss_D_fake 0.019046
[1647/5000][480/535][170054] Loss_D: -0.019462 Loss_G: 0.016847 Loss_D_real: -0.019313 Loss_D_fake 0.000149
[1647/5000][485/535][170055] Loss_D: -0.019222 Loss_G: 0.017430 Loss_D_real: -0.019521 Loss_D_fake -0.000299
[1647/5000][490/535][170056] Loss_D: -0.019860 Loss_G: -0.014282 Loss_D_real: -0.015471 Loss_D_fake 0.004389
[1647/5000][495/535][170057] Loss_D: -0.018568 Loss_G: -0.002997 Loss_D_real: -0.007969 Loss_D_fake 0.010599
[1647/5000][500/535][170058] Loss_D: -0.018855 Loss_G: 0.012254 Loss_D_real: -0.010876 Loss_D_fake 0.007979
[1647/5000][505/535][170059] Loss_D: -0.020526 Loss_G: 0.000302 Loss_D_real: -0.008725 Loss_D_fake 0.011801
[1647/5000][510/535][170060] Loss_D: -0.018848 Loss_G: -0.019730 Loss_D_real: 0.005208 Loss_D_fake 0.024056
[1647/5000][515/535][170061] Loss_D: -0.018244 Loss_G: -0.009344 Loss_D_real: -0.008176 Loss_D_fake 0.010068
[1647/5000][520/535][170062] Loss_D: -0.019857 Loss_G: 0.005183 Loss_D_real: -0.006985 Loss_D_fake 0.012872
[1647/5000][525/535][170063] Loss_D: -0.018143 Loss_G: 0.003789 Loss_D_real: -0.015086 Loss_D_fake 0.003058
[1647/5000][530/535][170064] Loss_D: -0.020403 Loss_G: 0.010484 Loss_D_real: -0.017866 Loss_D_fake 0.002536
[1647/5000][535/535][170065] Loss_D: -0.021754 Loss_G: 0.033439 Loss_D_real: -0.009843 Loss_D_fake 0.011911
[1648/5000][5/535][170066] Loss_D: -0.018991 Loss_G: -0.010876 Loss_D_real: -0.013027 Loss_D_fake 0.005965
[1648/5000][10/535][170067] Loss_D: -0.019895 Loss_G: 0.010369 Loss_D_real: -0.012420 Loss_D_fake 0.007475
[1648/5000][15/535][170068] Loss_D: -0.019126 Loss_G: -0.014764 Loss_D_real: -0.002514 Loss_D_fake 0.016612
[1648/5000][20/535][170069] Loss_D: -0.018793 Loss_G: 0.011211 Loss_D_real: -0.023299 Loss_D_fake -0.004506
[1648/5000][25/535][170070] Loss_D: -0.019992 Loss_G: -0.000176 Loss_D_real: -0.018233 Loss_D_fake 0.001758
[1648/5000][30/535][170071] Loss_D: -0.018702 Loss_G: 0.011551 Loss_D_real: -0.023273 Loss_D_fake -0.004571
[1648/5000][35/535][170072] Loss_D: -0.018574 Loss_G: 0.022680 Loss_D_real: -0.028444 Loss_D_fake -0.009870
[1648/5000][40/535][170073] Loss_D: -0.018841 Loss_G: 0.003181 Loss_D_real: -0.010107 Loss_D_fake 0.008734
[1648/5000][45/535][170074] Loss_D: -0.018193 Loss_G: 0.015480 Loss_D_real: -0.022768 Loss_D_fake -0.004575
[1648/5000][50/535][170075] Loss_D: -0.018505 Loss_G: -0.001460 Loss_D_real: -0.000683 Loss_D_fake 0.017822
[1648/5000][55/535][170076] Loss_D: -0.018967 Loss_G: -0.011200 Loss_D_real: -0.019008 Loss_D_fake -0.000041
[1648/5000][60/535][170077] Loss_D: -0.019438 Loss_G: 0.020130 Loss_D_real: -0.020029 Loss_D_fake -0.000591
[1648/5000][65/535][170078] Loss_D: -0.019915 Loss_G: 0.008402 Loss_D_real: -0.018541 Loss_D_fake 0.001374
[1648/5000][70/535][170079] Loss_D: -0.019694 Loss_G: -0.000212 Loss_D_real: -0.017730 Loss_D_fake 0.001964
[1648/5000][75/535][170080] Loss_D: -0.018623 Loss_G: 0.017642 Loss_D_real: -0.018650 Loss_D_fake -0.000027
[1648/5000][80/535][170081] Loss_D: -0.018243 Loss_G: -0.011412 Loss_D_real: 0.001555 Loss_D_fake 0.019799
[1648/5000][85/535][170082] Loss_D: -0.017167 Loss_G: 0.015905 Loss_D_real: -0.029925 Loss_D_fake -0.012758
[1648/5000][90/535][170083] Loss_D: -0.019699 Loss_G: 0.002743 Loss_D_real: -0.019692 Loss_D_fake 0.000007
[1648/5000][95/535][170084] Loss_D: -0.018359 Loss_G: -0.009895 Loss_D_real: -0.002602 Loss_D_fake 0.015757
[1648/5000][100/535][170085] Loss_D: -0.018201 Loss_G: 0.018630 Loss_D_real: -0.029271 Loss_D_fake -0.011070
[1648/5000][105/535][170086] Loss_D: -0.019408 Loss_G: -0.006262 Loss_D_real: -0.001942 Loss_D_fake 0.017467
[1648/5000][110/535][170087] Loss_D: -0.018758 Loss_G: -0.001963 Loss_D_real: -0.020796 Loss_D_fake -0.002037
[1648/5000][115/535][170088] Loss_D: -0.018846 Loss_G: 0.023215 Loss_D_real: -0.030454 Loss_D_fake -0.011608
[1648/5000][120/535][170089] Loss_D: -0.019653 Loss_G: 0.009744 Loss_D_real: -0.021241 Loss_D_fake -0.001588
[1648/5000][125/535][170090] Loss_D: -0.019027 Loss_G: 0.010543 Loss_D_real: -0.012725 Loss_D_fake 0.006302
[1648/5000][130/535][170091] Loss_D: -0.019227 Loss_G: -0.008851 Loss_D_real: -0.006553 Loss_D_fake 0.012674
[1648/5000][135/535][170092] Loss_D: -0.017731 Loss_G: 0.025698 Loss_D_real: -0.020326 Loss_D_fake -0.002595
[1648/5000][140/535][170093] Loss_D: -0.018446 Loss_G: -0.001021 Loss_D_real: -0.007787 Loss_D_fake 0.010659
[1648/5000][145/535][170094] Loss_D: -0.018701 Loss_G: 0.015845 Loss_D_real: -0.007102 Loss_D_fake 0.011598
[1648/5000][150/535][170095] Loss_D: -0.018008 Loss_G: -0.002303 Loss_D_real: -0.008899 Loss_D_fake 0.009109
[1648/5000][155/535][170096] Loss_D: -0.019099 Loss_G: -0.003514 Loss_D_real: -0.007322 Loss_D_fake 0.011777
[1648/5000][160/535][170097] Loss_D: -0.018904 Loss_G: 0.021440 Loss_D_real: -0.023623 Loss_D_fake -0.004719
[1648/5000][165/535][170098] Loss_D: -0.019593 Loss_G: -0.002548 Loss_D_real: -0.019490 Loss_D_fake 0.000103
[1648/5000][170/535][170099] Loss_D: -0.019318 Loss_G: 0.020517 Loss_D_real: -0.019351 Loss_D_fake -0.000033
[1648/5000][175/535][170100] Loss_D: -0.017782 Loss_G: 0.004006 Loss_D_real: -0.023258 Loss_D_fake -0.005476
[1648/5000][180/535][170101] Loss_D: -0.017499 Loss_G: 0.013201 Loss_D_real: -0.039197 Loss_D_fake -0.021698
[1648/5000][185/535][170102] Loss_D: -0.017694 Loss_G: 0.013779 Loss_D_real: -0.014375 Loss_D_fake 0.003319
[1648/5000][190/535][170103] Loss_D: -0.017884 Loss_G: 0.021810 Loss_D_real: -0.025950 Loss_D_fake -0.008066
[1648/5000][195/535][170104] Loss_D: -0.019329 Loss_G: -0.003217 Loss_D_real: -0.004532 Loss_D_fake 0.014797
[1648/5000][200/535][170105] Loss_D: -0.018887 Loss_G: 0.000980 Loss_D_real: -0.016320 Loss_D_fake 0.002568
[1648/5000][205/535][170106] Loss_D: -0.019515 Loss_G: 0.007542 Loss_D_real: -0.011261 Loss_D_fake 0.008254
[1648/5000][210/535][170107] Loss_D: -0.017678 Loss_G: 0.013745 Loss_D_real: -0.025043 Loss_D_fake -0.007365
[1648/5000][215/535][170108] Loss_D: -0.018289 Loss_G: 0.003696 Loss_D_real: -0.011934 Loss_D_fake 0.006355
[1648/5000][220/535][170109] Loss_D: -0.020243 Loss_G: 0.003329 Loss_D_real: -0.012273 Loss_D_fake 0.007971
[1648/5000][225/535][170110] Loss_D: -0.019849 Loss_G: 0.012220 Loss_D_real: -0.016050 Loss_D_fake 0.003799
[1648/5000][230/535][170111] Loss_D: -0.019718 Loss_G: 0.012010 Loss_D_real: -0.010982 Loss_D_fake 0.008737
[1648/5000][235/535][170112] Loss_D: -0.017436 Loss_G: 0.015194 Loss_D_real: -0.029616 Loss_D_fake -0.012181
[1648/5000][240/535][170113] Loss_D: -0.019029 Loss_G: 0.013502 Loss_D_real: -0.026832 Loss_D_fake -0.007802
[1648/5000][245/535][170114] Loss_D: -0.018740 Loss_G: -0.000232 Loss_D_real: -0.003880 Loss_D_fake 0.014860
[1648/5000][250/535][170115] Loss_D: -0.018367 Loss_G: -0.024079 Loss_D_real: 0.000322 Loss_D_fake 0.018689
[1648/5000][255/535][170116] Loss_D: -0.018389 Loss_G: 0.014663 Loss_D_real: -0.027232 Loss_D_fake -0.008843
[1648/5000][260/535][170117] Loss_D: -0.018653 Loss_G: -0.009684 Loss_D_real: -0.015512 Loss_D_fake 0.003141
[1648/5000][265/535][170118] Loss_D: -0.019082 Loss_G: 0.008838 Loss_D_real: -0.018676 Loss_D_fake 0.000406
[1648/5000][270/535][170119] Loss_D: -0.018934 Loss_G: 0.016005 Loss_D_real: -0.025418 Loss_D_fake -0.006484
[1648/5000][275/535][170120] Loss_D: -0.018959 Loss_G: 0.001316 Loss_D_real: -0.012238 Loss_D_fake 0.006721
[1648/5000][280/535][170121] Loss_D: -0.019376 Loss_G: 0.011209 Loss_D_real: -0.013642 Loss_D_fake 0.005735
[1648/5000][285/535][170122] Loss_D: -0.017984 Loss_G: 0.011886 Loss_D_real: -0.014818 Loss_D_fake 0.003166
[1648/5000][290/535][170123] Loss_D: -0.018002 Loss_G: 0.026637 Loss_D_real: -0.035519 Loss_D_fake -0.017517
[1648/5000][295/535][170124] Loss_D: -0.019897 Loss_G: 0.012287 Loss_D_real: -0.003178 Loss_D_fake 0.016719
[1648/5000][300/535][170125] Loss_D: -0.020053 Loss_G: -0.000285 Loss_D_real: -0.009330 Loss_D_fake 0.010723
[1648/5000][305/535][170126] Loss_D: -0.019526 Loss_G: 0.009092 Loss_D_real: -0.028066 Loss_D_fake -0.008540
[1648/5000][310/535][170127] Loss_D: -0.019633 Loss_G: 0.026400 Loss_D_real: -0.016969 Loss_D_fake 0.002664
[1648/5000][315/535][170128] Loss_D: -0.020093 Loss_G: -0.009220 Loss_D_real: 0.004952 Loss_D_fake 0.025044
[1648/5000][320/535][170129] Loss_D: -0.019457 Loss_G: -0.001835 Loss_D_real: -0.003060 Loss_D_fake 0.016397
[1648/5000][325/535][170130] Loss_D: -0.019703 Loss_G: 0.012391 Loss_D_real: -0.023460 Loss_D_fake -0.003757
[1648/5000][330/535][170131] Loss_D: -0.019470 Loss_G: -0.002581 Loss_D_real: -0.003035 Loss_D_fake 0.016435
[1648/5000][335/535][170132] Loss_D: -0.020380 Loss_G: 0.006101 Loss_D_real: -0.006511 Loss_D_fake 0.013869
[1648/5000][340/535][170133] Loss_D: -0.018983 Loss_G: 0.011957 Loss_D_real: -0.011138 Loss_D_fake 0.007845
[1648/5000][345/535][170134] Loss_D: -0.019684 Loss_G: -0.009491 Loss_D_real: -0.004899 Loss_D_fake 0.014785
[1648/5000][350/535][170135] Loss_D: -0.018654 Loss_G: 0.014482 Loss_D_real: -0.020715 Loss_D_fake -0.002061
[1648/5000][355/535][170136] Loss_D: -0.019530 Loss_G: 0.007764 Loss_D_real: -0.013802 Loss_D_fake 0.005727
[1648/5000][360/535][170137] Loss_D: -0.018736 Loss_G: 0.026654 Loss_D_real: -0.020250 Loss_D_fake -0.001513
[1648/5000][365/535][170138] Loss_D: -0.018152 Loss_G: 0.017923 Loss_D_real: -0.024409 Loss_D_fake -0.006257
[1648/5000][370/535][170139] Loss_D: -0.020708 Loss_G: 0.001764 Loss_D_real: -0.018664 Loss_D_fake 0.002044
[1648/5000][375/535][170140] Loss_D: -0.018877 Loss_G: 0.012526 Loss_D_real: -0.018449 Loss_D_fake 0.000429
[1648/5000][380/535][170141] Loss_D: -0.018946 Loss_G: -0.010042 Loss_D_real: -0.013162 Loss_D_fake 0.005784
[1648/5000][385/535][170142] Loss_D: -0.019652 Loss_G: 0.010892 Loss_D_real: -0.024482 Loss_D_fake -0.004830
[1648/5000][390/535][170143] Loss_D: -0.018270 Loss_G: 0.007965 Loss_D_real: -0.022346 Loss_D_fake -0.004076
[1648/5000][395/535][170144] Loss_D: -0.018869 Loss_G: -0.005627 Loss_D_real: -0.001310 Loss_D_fake 0.017559
[1648/5000][400/535][170145] Loss_D: -0.019186 Loss_G: 0.009036 Loss_D_real: -0.021696 Loss_D_fake -0.002510
[1648/5000][405/535][170146] Loss_D: -0.020383 Loss_G: 0.011584 Loss_D_real: -0.011286 Loss_D_fake 0.009097
[1648/5000][410/535][170147] Loss_D: -0.019036 Loss_G: 0.022868 Loss_D_real: -0.015442 Loss_D_fake 0.003593
[1648/5000][415/535][170148] Loss_D: -0.018796 Loss_G: 0.000244 Loss_D_real: -0.022465 Loss_D_fake -0.003669
[1648/5000][420/535][170149] Loss_D: -0.018857 Loss_G: 0.001949 Loss_D_real: -0.007071 Loss_D_fake 0.011786
[1648/5000][425/535][170150] Loss_D: -0.019657 Loss_G: 0.004513 Loss_D_real: -0.015129 Loss_D_fake 0.004528
[1648/5000][430/535][170151] Loss_D: -0.017682 Loss_G: 0.019079 Loss_D_real: -0.025704 Loss_D_fake -0.008022
[1648/5000][435/535][170152] Loss_D: -0.018364 Loss_G: 0.023804 Loss_D_real: -0.022588 Loss_D_fake -0.004224
[1648/5000][440/535][170153] Loss_D: -0.018910 Loss_G: 0.008820 Loss_D_real: -0.024094 Loss_D_fake -0.005183
[1648/5000][445/535][170154] Loss_D: -0.018936 Loss_G: 0.014440 Loss_D_real: -0.019575 Loss_D_fake -0.000639
[1648/5000][450/535][170155] Loss_D: -0.018307 Loss_G: 0.006680 Loss_D_real: -0.002633 Loss_D_fake 0.015674
[1648/5000][455/535][170156] Loss_D: -0.018049 Loss_G: 0.000838 Loss_D_real: 0.008450 Loss_D_fake 0.026499
[1648/5000][460/535][170157] Loss_D: -0.019598 Loss_G: 0.005864 Loss_D_real: -0.019964 Loss_D_fake -0.000366
[1648/5000][465/535][170158] Loss_D: -0.019321 Loss_G: 0.003198 Loss_D_real: -0.020540 Loss_D_fake -0.001218
[1648/5000][470/535][170159] Loss_D: -0.018185 Loss_G: 0.005789 Loss_D_real: -0.014549 Loss_D_fake 0.003636
[1648/5000][475/535][170160] Loss_D: -0.017883 Loss_G: 0.021304 Loss_D_real: -0.015636 Loss_D_fake 0.002247
[1648/5000][480/535][170161] Loss_D: -0.020211 Loss_G: -0.001474 Loss_D_real: -0.019356 Loss_D_fake 0.000855
[1648/5000][485/535][170162] Loss_D: -0.019679 Loss_G: 0.008946 Loss_D_real: -0.005320 Loss_D_fake 0.014359
[1648/5000][490/535][170163] Loss_D: -0.017562 Loss_G: -0.021565 Loss_D_real: 0.011845 Loss_D_fake 0.029407
[1648/5000][495/535][170164] Loss_D: -0.018141 Loss_G: 0.024080 Loss_D_real: -0.030538 Loss_D_fake -0.012396
[1648/5000][500/535][170165] Loss_D: -0.018608 Loss_G: -0.001277 Loss_D_real: -0.004112 Loss_D_fake 0.014496
[1648/5000][505/535][170166] Loss_D: -0.019001 Loss_G: -0.007520 Loss_D_real: -0.004639 Loss_D_fake 0.014362
[1648/5000][510/535][170167] Loss_D: -0.019473 Loss_G: 0.003070 Loss_D_real: -0.012868 Loss_D_fake 0.006605
[1648/5000][515/535][170168] Loss_D: -0.020286 Loss_G: 0.016003 Loss_D_real: -0.012187 Loss_D_fake 0.008099
[1648/5000][520/535][170169] Loss_D: -0.018781 Loss_G: 0.005216 Loss_D_real: -0.014337 Loss_D_fake 0.004444
[1648/5000][525/535][170170] Loss_D: -0.020350 Loss_G: -0.002142 Loss_D_real: -0.013196 Loss_D_fake 0.007154
[1648/5000][530/535][170171] Loss_D: -0.019114 Loss_G: 0.005586 Loss_D_real: -0.025194 Loss_D_fake -0.006080
[1648/5000][535/535][170172] Loss_D: -0.019001 Loss_G: -0.000244 Loss_D_real: -0.020643 Loss_D_fake -0.001642
[1649/5000][5/535][170173] Loss_D: -0.020991 Loss_G: 0.015371 Loss_D_real: -0.019829 Loss_D_fake 0.001162
[1649/5000][10/535][170174] Loss_D: -0.020273 Loss_G: 0.013913 Loss_D_real: -0.011062 Loss_D_fake 0.009212
[1649/5000][15/535][170175] Loss_D: -0.018155 Loss_G: 0.031285 Loss_D_real: -0.026518 Loss_D_fake -0.008363
[1649/5000][20/535][170176] Loss_D: -0.019070 Loss_G: -0.013188 Loss_D_real: -0.015216 Loss_D_fake 0.003854
[1649/5000][25/535][170177] Loss_D: -0.018840 Loss_G: 0.016495 Loss_D_real: -0.020846 Loss_D_fake -0.002006
[1649/5000][30/535][170178] Loss_D: -0.017980 Loss_G: 0.013910 Loss_D_real: -0.004497 Loss_D_fake 0.013483
[1649/5000][35/535][170179] Loss_D: -0.018808 Loss_G: 0.009963 Loss_D_real: -0.011899 Loss_D_fake 0.006908
[1649/5000][40/535][170180] Loss_D: -0.021061 Loss_G: 0.008016 Loss_D_real: -0.020527 Loss_D_fake 0.000534
[1649/5000][45/535][170181] Loss_D: -0.020293 Loss_G: 0.001920 Loss_D_real: -0.010099 Loss_D_fake 0.010194
[1649/5000][50/535][170182] Loss_D: -0.019280 Loss_G: -0.002790 Loss_D_real: -0.011202 Loss_D_fake 0.008078
[1649/5000][55/535][170183] Loss_D: -0.018898 Loss_G: 0.002443 Loss_D_real: -0.015984 Loss_D_fake 0.002914
[1649/5000][60/535][170184] Loss_D: -0.018210 Loss_G: -0.019361 Loss_D_real: 0.005251 Loss_D_fake 0.023461
[1649/5000][65/535][170185] Loss_D: -0.018929 Loss_G: 0.008484 Loss_D_real: -0.022227 Loss_D_fake -0.003298
[1649/5000][70/535][170186] Loss_D: -0.019886 Loss_G: 0.017462 Loss_D_real: -0.008596 Loss_D_fake 0.011290
[1649/5000][75/535][170187] Loss_D: -0.017829 Loss_G: 0.010578 Loss_D_real: -0.019778 Loss_D_fake -0.001948
[1649/5000][80/535][170188] Loss_D: -0.018735 Loss_G: -0.007584 Loss_D_real: 0.005655 Loss_D_fake 0.024390
[1649/5000][85/535][170189] Loss_D: -0.019257 Loss_G: 0.003481 Loss_D_real: -0.014791 Loss_D_fake 0.004466
[1649/5000][90/535][170190] Loss_D: -0.019380 Loss_G: -0.003109 Loss_D_real: -0.011351 Loss_D_fake 0.008029
[1649/5000][95/535][170191] Loss_D: -0.017048 Loss_G: 0.026031 Loss_D_real: -0.029781 Loss_D_fake -0.012733
[1649/5000][100/535][170192] Loss_D: -0.020057 Loss_G: 0.010338 Loss_D_real: -0.000505 Loss_D_fake 0.019552
[1649/5000][105/535][170193] Loss_D: -0.018596 Loss_G: -0.000881 Loss_D_real: -0.011527 Loss_D_fake 0.007069
[1649/5000][110/535][170194] Loss_D: -0.019386 Loss_G: -0.006795 Loss_D_real: -0.011656 Loss_D_fake 0.007729
[1649/5000][115/535][170195] Loss_D: -0.019356 Loss_G: 0.015682 Loss_D_real: -0.020188 Loss_D_fake -0.000833
[1649/5000][120/535][170196] Loss_D: -0.019926 Loss_G: 0.004701 Loss_D_real: -0.009763 Loss_D_fake 0.010163
[1649/5000][125/535][170197] Loss_D: -0.019729 Loss_G: 0.009754 Loss_D_real: -0.019284 Loss_D_fake 0.000446
[1649/5000][130/535][170198] Loss_D: -0.019419 Loss_G: 0.005080 Loss_D_real: -0.010562 Loss_D_fake 0.008857
[1649/5000][135/535][170199] Loss_D: -0.019530 Loss_G: 0.007757 Loss_D_real: -0.023144 Loss_D_fake -0.003615
[1649/5000][140/535][170200] Loss_D: -0.020318 Loss_G: 0.010933 Loss_D_real: -0.031195 Loss_D_fake -0.010877
[1649/5000][145/535][170201] Loss_D: -0.021728 Loss_G: 0.009274 Loss_D_real: -0.005900 Loss_D_fake 0.015828
[1649/5000][150/535][170202] Loss_D: -0.020511 Loss_G: 0.001912 Loss_D_real: -0.017477 Loss_D_fake 0.003034
[1649/5000][155/535][170203] Loss_D: -0.019920 Loss_G: -0.005930 Loss_D_real: -0.002293 Loss_D_fake 0.017626
[1649/5000][160/535][170204] Loss_D: -0.020353 Loss_G: 0.013967 Loss_D_real: -0.016819 Loss_D_fake 0.003535
[1649/5000][165/535][170205] Loss_D: -0.020194 Loss_G: 0.001667 Loss_D_real: -0.012226 Loss_D_fake 0.007968
[1649/5000][170/535][170206] Loss_D: -0.018483 Loss_G: -0.004925 Loss_D_real: -0.007400 Loss_D_fake 0.011083
[1649/5000][175/535][170207] Loss_D: -0.020177 Loss_G: -0.001842 Loss_D_real: -0.006610 Loss_D_fake 0.013567
[1649/5000][180/535][170208] Loss_D: -0.018950 Loss_G: -0.001462 Loss_D_real: -0.013727 Loss_D_fake 0.005223
[1649/5000][185/535][170209] Loss_D: -0.019067 Loss_G: 0.027348 Loss_D_real: -0.016781 Loss_D_fake 0.002286
[1649/5000][190/535][170210] Loss_D: -0.018917 Loss_G: 0.016753 Loss_D_real: -0.026173 Loss_D_fake -0.007256
[1649/5000][195/535][170211] Loss_D: -0.019849 Loss_G: -0.001306 Loss_D_real: -0.011466 Loss_D_fake 0.008382
[1649/5000][200/535][170212] Loss_D: -0.019857 Loss_G: 0.024006 Loss_D_real: -0.020983 Loss_D_fake -0.001127
[1649/5000][205/535][170213] Loss_D: -0.017315 Loss_G: -0.020040 Loss_D_real: -0.007223 Loss_D_fake 0.010092
[1649/5000][210/535][170214] Loss_D: -0.018082 Loss_G: 0.021650 Loss_D_real: -0.024894 Loss_D_fake -0.006812
[1649/5000][215/535][170215] Loss_D: -0.018367 Loss_G: 0.000418 Loss_D_real: -0.000814 Loss_D_fake 0.017554
[1649/5000][220/535][170216] Loss_D: -0.017351 Loss_G: -0.003639 Loss_D_real: -0.012018 Loss_D_fake 0.005334
[1649/5000][225/535][170217] Loss_D: -0.017309 Loss_G: 0.004909 Loss_D_real: -0.017946 Loss_D_fake -0.000637
[1649/5000][230/535][170218] Loss_D: -0.019829 Loss_G: 0.001296 Loss_D_real: -0.010615 Loss_D_fake 0.009214
[1649/5000][235/535][170219] Loss_D: -0.019476 Loss_G: 0.013631 Loss_D_real: -0.020614 Loss_D_fake -0.001137
[1649/5000][240/535][170220] Loss_D: -0.019237 Loss_G: 0.022925 Loss_D_real: -0.006587 Loss_D_fake 0.012650
[1649/5000][245/535][170221] Loss_D: -0.019767 Loss_G: -0.009441 Loss_D_real: -0.002392 Loss_D_fake 0.017375
[1649/5000][250/535][170222] Loss_D: -0.019865 Loss_G: 0.008095 Loss_D_real: -0.012881 Loss_D_fake 0.006984
[1649/5000][255/535][170223] Loss_D: -0.020488 Loss_G: 0.006835 Loss_D_real: -0.020048 Loss_D_fake 0.000440
[1649/5000][260/535][170224] Loss_D: -0.020596 Loss_G: 0.007128 Loss_D_real: -0.008743 Loss_D_fake 0.011853
[1649/5000][265/535][170225] Loss_D: -0.019733 Loss_G: 0.016582 Loss_D_real: -0.028736 Loss_D_fake -0.009002
[1649/5000][270/535][170226] Loss_D: -0.018709 Loss_G: -0.003502 Loss_D_real: -0.008772 Loss_D_fake 0.009937
[1649/5000][275/535][170227] Loss_D: -0.018396 Loss_G: -0.009001 Loss_D_real: -0.015582 Loss_D_fake 0.002815
[1649/5000][280/535][170228] Loss_D: -0.017904 Loss_G: 0.012773 Loss_D_real: -0.024060 Loss_D_fake -0.006156
[1649/5000][285/535][170229] Loss_D: -0.018131 Loss_G: -0.008324 Loss_D_real: -0.024678 Loss_D_fake -0.006547
[1649/5000][290/535][170230] Loss_D: -0.018236 Loss_G: 0.014891 Loss_D_real: -0.031921 Loss_D_fake -0.013684
[1649/5000][295/535][170231] Loss_D: -0.018356 Loss_G: 0.024204 Loss_D_real: -0.033302 Loss_D_fake -0.014946
[1649/5000][300/535][170232] Loss_D: -0.019217 Loss_G: 0.017148 Loss_D_real: -0.027067 Loss_D_fake -0.007851
[1649/5000][305/535][170233] Loss_D: -0.014383 Loss_G: -0.017449 Loss_D_real: 0.018617 Loss_D_fake 0.033000
[1649/5000][310/535][170234] Loss_D: -0.017978 Loss_G: -0.002946 Loss_D_real: -0.011468 Loss_D_fake 0.006509
[1649/5000][315/535][170235] Loss_D: -0.019292 Loss_G: 0.030987 Loss_D_real: -0.017800 Loss_D_fake 0.001492
[1649/5000][320/535][170236] Loss_D: -0.018324 Loss_G: -0.005994 Loss_D_real: -0.007985 Loss_D_fake 0.010339
[1649/5000][325/535][170237] Loss_D: -0.019345 Loss_G: 0.004822 Loss_D_real: -0.019215 Loss_D_fake 0.000130
[1649/5000][330/535][170238] Loss_D: -0.018894 Loss_G: -0.001720 Loss_D_real: -0.006471 Loss_D_fake 0.012423
[1649/5000][335/535][170239] Loss_D: -0.018997 Loss_G: 0.000577 Loss_D_real: -0.018724 Loss_D_fake 0.000273
[1649/5000][340/535][170240] Loss_D: -0.018466 Loss_G: -0.013605 Loss_D_real: -0.003494 Loss_D_fake 0.014973
[1649/5000][345/535][170241] Loss_D: -0.017985 Loss_G: 0.011969 Loss_D_real: -0.017537 Loss_D_fake 0.000448
[1649/5000][350/535][170242] Loss_D: -0.019403 Loss_G: 0.011863 Loss_D_real: -0.016853 Loss_D_fake 0.002549
[1649/5000][355/535][170243] Loss_D: -0.019610 Loss_G: -0.001434 Loss_D_real: -0.010751 Loss_D_fake 0.008859
[1649/5000][360/535][170244] Loss_D: -0.018828 Loss_G: -0.001402 Loss_D_real: -0.009355 Loss_D_fake 0.009472
[1649/5000][365/535][170245] Loss_D: -0.020371 Loss_G: 0.010476 Loss_D_real: -0.008606 Loss_D_fake 0.011765
[1649/5000][370/535][170246] Loss_D: -0.018439 Loss_G: 0.009921 Loss_D_real: -0.029020 Loss_D_fake -0.010581
[1649/5000][375/535][170247] Loss_D: -0.019438 Loss_G: 0.013871 Loss_D_real: -0.011884 Loss_D_fake 0.007554
[1649/5000][380/535][170248] Loss_D: -0.018334 Loss_G: 0.012736 Loss_D_real: -0.026011 Loss_D_fake -0.007677
[1649/5000][385/535][170249] Loss_D: -0.019519 Loss_G: 0.006691 Loss_D_real: -0.009515 Loss_D_fake 0.010004
[1649/5000][390/535][170250] Loss_D: -0.019353 Loss_G: 0.021347 Loss_D_real: -0.022280 Loss_D_fake -0.002927
[1649/5000][395/535][170251] Loss_D: -0.019568 Loss_G: 0.027311 Loss_D_real: -0.013081 Loss_D_fake 0.006486
[1649/5000][400/535][170252] Loss_D: -0.019522 Loss_G: -0.001137 Loss_D_real: -0.018804 Loss_D_fake 0.000718
[1649/5000][405/535][170253] Loss_D: -0.020126 Loss_G: 0.006344 Loss_D_real: -0.020296 Loss_D_fake -0.000170
[1649/5000][410/535][170254] Loss_D: -0.018441 Loss_G: 0.005891 Loss_D_real: -0.004700 Loss_D_fake 0.013741
[1649/5000][415/535][170255] Loss_D: -0.019232 Loss_G: 0.006951 Loss_D_real: -0.032200 Loss_D_fake -0.012968
[1649/5000][420/535][170256] Loss_D: -0.018546 Loss_G: 0.000718 Loss_D_real: -0.028846 Loss_D_fake -0.010301
[1649/5000][425/535][170257] Loss_D: -0.020099 Loss_G: -0.006747 Loss_D_real: -0.003243 Loss_D_fake 0.016856
[1649/5000][430/535][170258] Loss_D: -0.019938 Loss_G: 0.004716 Loss_D_real: -0.016155 Loss_D_fake 0.003783
[1649/5000][435/535][170259] Loss_D: -0.019183 Loss_G: -0.005110 Loss_D_real: -0.006205 Loss_D_fake 0.012978
[1649/5000][440/535][170260] Loss_D: -0.020825 Loss_G: 0.015730 Loss_D_real: -0.016788 Loss_D_fake 0.004037
[1649/5000][445/535][170261] Loss_D: -0.019552 Loss_G: 0.015555 Loss_D_real: -0.018049 Loss_D_fake 0.001503
[1649/5000][450/535][170262] Loss_D: -0.020032 Loss_G: 0.006822 Loss_D_real: -0.014946 Loss_D_fake 0.005086
[1649/5000][455/535][170263] Loss_D: -0.019019 Loss_G: 0.017419 Loss_D_real: -0.024638 Loss_D_fake -0.005619
[1649/5000][460/535][170264] Loss_D: -0.018682 Loss_G: 0.016171 Loss_D_real: -0.026312 Loss_D_fake -0.007631
[1649/5000][465/535][170265] Loss_D: -0.018640 Loss_G: -0.007008 Loss_D_real: -0.008388 Loss_D_fake 0.010252
[1649/5000][470/535][170266] Loss_D: -0.018505 Loss_G: -0.001387 Loss_D_real: -0.014125 Loss_D_fake 0.004381
[1649/5000][475/535][170267] Loss_D: -0.019108 Loss_G: 0.022048 Loss_D_real: -0.026096 Loss_D_fake -0.006989
[1649/5000][480/535][170268] Loss_D: -0.019851 Loss_G: -0.005484 Loss_D_real: -0.013606 Loss_D_fake 0.006245
[1649/5000][485/535][170269] Loss_D: -0.019445 Loss_G: 0.002667 Loss_D_real: -0.024394 Loss_D_fake -0.004949
[1649/5000][490/535][170270] Loss_D: -0.019302 Loss_G: 0.015010 Loss_D_real: -0.008652 Loss_D_fake 0.010650
[1649/5000][495/535][170271] Loss_D: -0.019658 Loss_G: 0.008000 Loss_D_real: -0.008803 Loss_D_fake 0.010855
[1649/5000][500/535][170272] Loss_D: -0.018589 Loss_G: 0.013206 Loss_D_real: -0.020480 Loss_D_fake -0.001891
[1649/5000][505/535][170273] Loss_D: -0.019476 Loss_G: -0.009405 Loss_D_real: -0.007748 Loss_D_fake 0.011728
[1649/5000][510/535][170274] Loss_D: -0.019041 Loss_G: 0.012483 Loss_D_real: 0.001093 Loss_D_fake 0.020134
[1649/5000][515/535][170275] Loss_D: -0.018862 Loss_G: 0.022481 Loss_D_real: -0.034090 Loss_D_fake -0.015227
[1649/5000][520/535][170276] Loss_D: -0.018588 Loss_G: 0.017070 Loss_D_real: -0.027362 Loss_D_fake -0.008773
[1649/5000][525/535][170277] Loss_D: -0.018847 Loss_G: 0.013974 Loss_D_real: -0.019129 Loss_D_fake -0.000281
[1649/5000][530/535][170278] Loss_D: -0.017967 Loss_G: 0.014906 Loss_D_real: -0.021587 Loss_D_fake -0.003619
[1649/5000][535/535][170279] Loss_D: -0.013791 Loss_G: 0.031983 Loss_D_real: -0.021790 Loss_D_fake -0.007999
[1650/5000][5/535][170280] Loss_D: -0.019097 Loss_G: 0.019512 Loss_D_real: -0.022921 Loss_D_fake -0.003823
[1650/5000][10/535][170281] Loss_D: -0.020460 Loss_G: 0.001377 Loss_D_real: -0.018877 Loss_D_fake 0.001583
[1650/5000][15/535][170282] Loss_D: -0.018975 Loss_G: -0.001429 Loss_D_real: -0.006516 Loss_D_fake 0.012459
[1650/5000][20/535][170283] Loss_D: -0.020652 Loss_G: 0.027019 Loss_D_real: -0.016245 Loss_D_fake 0.004407
[1650/5000][25/535][170284] Loss_D: -0.018725 Loss_G: -0.000794 Loss_D_real: -0.013958 Loss_D_fake 0.004767
[1650/5000][30/535][170285] Loss_D: -0.019249 Loss_G: -0.006225 Loss_D_real: -0.004365 Loss_D_fake 0.014885
[1650/5000][35/535][170286] Loss_D: -0.018432 Loss_G: 0.008477 Loss_D_real: -0.040735 Loss_D_fake -0.022303
[1650/5000][40/535][170287] Loss_D: -0.018183 Loss_G: 0.021665 Loss_D_real: -0.014039 Loss_D_fake 0.004143
[1650/5000][45/535][170288] Loss_D: -0.020404 Loss_G: 0.001468 Loss_D_real: -0.007959 Loss_D_fake 0.012445
[1650/5000][50/535][170289] Loss_D: -0.019177 Loss_G: -0.006723 Loss_D_real: -0.006247 Loss_D_fake 0.012930
[1650/5000][55/535][170290] Loss_D: -0.018788 Loss_G: -0.003265 Loss_D_real: -0.008178 Loss_D_fake 0.010609
[1650/5000][60/535][170291] Loss_D: -0.019512 Loss_G: 0.004001 Loss_D_real: -0.019787 Loss_D_fake -0.000275
[1650/5000][65/535][170292] Loss_D: -0.019233 Loss_G: 0.003343 Loss_D_real: -0.025526 Loss_D_fake -0.006293
[1650/5000][70/535][170293] Loss_D: -0.020010 Loss_G: 0.013502 Loss_D_real: -0.012298 Loss_D_fake 0.007713
[1650/5000][75/535][170294] Loss_D: -0.018187 Loss_G: 0.003563 Loss_D_real: -0.013703 Loss_D_fake 0.004485
[1650/5000][80/535][170295] Loss_D: -0.018834 Loss_G: 0.023001 Loss_D_real: -0.024048 Loss_D_fake -0.005214
[1650/5000][85/535][170296] Loss_D: -0.019321 Loss_G: 0.002439 Loss_D_real: -0.005173 Loss_D_fake 0.014148
[1650/5000][90/535][170297] Loss_D: -0.018907 Loss_G: -0.010405 Loss_D_real: -0.014545 Loss_D_fake 0.004362
[1650/5000][95/535][170298] Loss_D: -0.017672 Loss_G: -0.000460 Loss_D_real: -0.020785 Loss_D_fake -0.003113
[1650/5000][100/535][170299] Loss_D: -0.019760 Loss_G: 0.032687 Loss_D_real: -0.026818 Loss_D_fake -0.007058
[1650/5000][105/535][170300] Loss_D: -0.020113 Loss_G: 0.003729 Loss_D_real: -0.012283 Loss_D_fake 0.007830
[1650/5000][110/535][170301] Loss_D: -0.017786 Loss_G: 0.009467 Loss_D_real: -0.006108 Loss_D_fake 0.011678
[1650/5000][115/535][170302] Loss_D: -0.018496 Loss_G: -0.010295 Loss_D_real: 0.001715 Loss_D_fake 0.020211
[1650/5000][120/535][170303] Loss_D: -0.018429 Loss_G: -0.008687 Loss_D_real: -0.017806 Loss_D_fake 0.000623
[1650/5000][125/535][170304] Loss_D: -0.017394 Loss_G: -0.002934 Loss_D_real: -0.008127 Loss_D_fake 0.009267
[1650/5000][130/535][170305] Loss_D: -0.018623 Loss_G: 0.014027 Loss_D_real: -0.014337 Loss_D_fake 0.004285
[1650/5000][135/535][170306] Loss_D: -0.017938 Loss_G: -0.012028 Loss_D_real: -0.004884 Loss_D_fake 0.013054
[1650/5000][140/535][170307] Loss_D: -0.018893 Loss_G: 0.011945 Loss_D_real: -0.019093 Loss_D_fake -0.000200
[1650/5000][145/535][170308] Loss_D: -0.019607 Loss_G: -0.009308 Loss_D_real: -0.017413 Loss_D_fake 0.002194
[1650/5000][150/535][170309] Loss_D: -0.018085 Loss_G: 0.020652 Loss_D_real: -0.024254 Loss_D_fake -0.006169
[1650/5000][155/535][170310] Loss_D: -0.019286 Loss_G: 0.006234 Loss_D_real: -0.026776 Loss_D_fake -0.007490
[1650/5000][160/535][170311] Loss_D: -0.018265 Loss_G: 0.009685 Loss_D_real: -0.027364 Loss_D_fake -0.009099
[1650/5000][165/535][170312] Loss_D: -0.018711 Loss_G: -0.003238 Loss_D_real: -0.002842 Loss_D_fake 0.015869
[1650/5000][170/535][170313] Loss_D: -0.018224 Loss_G: 0.021802 Loss_D_real: -0.021416 Loss_D_fake -0.003193
[1650/5000][175/535][170314] Loss_D: -0.017993 Loss_G: -0.000566 Loss_D_real: -0.010496 Loss_D_fake 0.007497
[1650/5000][180/535][170315] Loss_D: -0.016921 Loss_G: 0.024663 Loss_D_real: -0.025816 Loss_D_fake -0.008895
[1650/5000][185/535][170316] Loss_D: -0.018395 Loss_G: -0.002072 Loss_D_real: -0.003580 Loss_D_fake 0.014815
[1650/5000][190/535][170317] Loss_D: -0.018189 Loss_G: -0.014441 Loss_D_real: 0.002511 Loss_D_fake 0.020700
[1650/5000][195/535][170318] Loss_D: -0.018353 Loss_G: 0.018105 Loss_D_real: -0.028287 Loss_D_fake -0.009934
[1650/5000][200/535][170319] Loss_D: -0.018751 Loss_G: 0.003020 Loss_D_real: -0.013652 Loss_D_fake 0.005099
[1650/5000][205/535][170320] Loss_D: -0.019638 Loss_G: 0.006926 Loss_D_real: -0.009292 Loss_D_fake 0.010347
[1650/5000][210/535][170321] Loss_D: -0.020483 Loss_G: 0.012139 Loss_D_real: -0.017266 Loss_D_fake 0.003217
[1650/5000][215/535][170322] Loss_D: -0.018111 Loss_G: -0.008047 Loss_D_real: -0.013537 Loss_D_fake 0.004574
[1650/5000][220/535][170323] Loss_D: -0.020046 Loss_G: 0.009728 Loss_D_real: -0.009569 Loss_D_fake 0.010477
[1650/5000][225/535][170324] Loss_D: -0.019785 Loss_G: 0.005298 Loss_D_real: -0.010825 Loss_D_fake 0.008959
[1650/5000][230/535][170325] Loss_D: -0.020608 Loss_G: -0.004639 Loss_D_real: -0.013772 Loss_D_fake 0.006836
[1650/5000][235/535][170326] Loss_D: -0.019475 Loss_G: -0.009019 Loss_D_real: 0.003802 Loss_D_fake 0.023277
[1650/5000][240/535][170327] Loss_D: -0.019217 Loss_G: 0.016691 Loss_D_real: -0.020808 Loss_D_fake -0.001591
[1650/5000][245/535][170328] Loss_D: -0.020524 Loss_G: 0.022093 Loss_D_real: -0.013670 Loss_D_fake 0.006854
[1650/5000][250/535][170329] Loss_D: -0.018702 Loss_G: 0.011277 Loss_D_real: -0.021071 Loss_D_fake -0.002369
[1650/5000][255/535][170330] Loss_D: -0.020989 Loss_G: 0.006128 Loss_D_real: -0.020030 Loss_D_fake 0.000958
[1650/5000][260/535][170331] Loss_D: -0.020837 Loss_G: 0.010855 Loss_D_real: -0.026681 Loss_D_fake -0.005844
[1650/5000][265/535][170332] Loss_D: -0.018883 Loss_G: 0.011036 Loss_D_real: -0.024013 Loss_D_fake -0.005131
[1650/5000][270/535][170333] Loss_D: -0.019001 Loss_G: -0.008866 Loss_D_real: -0.008309 Loss_D_fake 0.010693
[1650/5000][275/535][170334] Loss_D: -0.018646 Loss_G: -0.003995 Loss_D_real: 0.004397 Loss_D_fake 0.023043
[1650/5000][280/535][170335] Loss_D: -0.019058 Loss_G: 0.011100 Loss_D_real: -0.009733 Loss_D_fake 0.009325
[1650/5000][285/535][170336] Loss_D: -0.018443 Loss_G: -0.012274 Loss_D_real: -0.007614 Loss_D_fake 0.010830
[1650/5000][290/535][170337] Loss_D: -0.019377 Loss_G: 0.012782 Loss_D_real: -0.026755 Loss_D_fake -0.007379
[1650/5000][295/535][170338] Loss_D: -0.019042 Loss_G: 0.016879 Loss_D_real: -0.023812 Loss_D_fake -0.004769
[1650/5000][300/535][170339] Loss_D: -0.019868 Loss_G: 0.004248 Loss_D_real: -0.015776 Loss_D_fake 0.004092
[1650/5000][305/535][170340] Loss_D: -0.018198 Loss_G: 0.027824 Loss_D_real: -0.032906 Loss_D_fake -0.014708
[1650/5000][310/535][170341] Loss_D: -0.018519 Loss_G: 0.013491 Loss_D_real: -0.016149 Loss_D_fake 0.002370
[1650/5000][315/535][170342] Loss_D: -0.018966 Loss_G: 0.014636 Loss_D_real: -0.017077 Loss_D_fake 0.001889
[1650/5000][320/535][170343] Loss_D: -0.018721 Loss_G: 0.012207 Loss_D_real: -0.027672 Loss_D_fake -0.008952
[1650/5000][325/535][170344] Loss_D: -0.019201 Loss_G: -0.000351 Loss_D_real: -0.024620 Loss_D_fake -0.005419
[1650/5000][330/535][170345] Loss_D: -0.019104 Loss_G: 0.000672 Loss_D_real: -0.008806 Loss_D_fake 0.010297
[1650/5000][335/535][170346] Loss_D: -0.018512 Loss_G: -0.003509 Loss_D_real: -0.008126 Loss_D_fake 0.010386
[1650/5000][340/535][170347] Loss_D: -0.017942 Loss_G: -0.000076 Loss_D_real: -0.015233 Loss_D_fake 0.002709
[1650/5000][345/535][170348] Loss_D: -0.019738 Loss_G: -0.005767 Loss_D_real: -0.002704 Loss_D_fake 0.017034
[1650/5000][350/535][170349] Loss_D: -0.020360 Loss_G: 0.004210 Loss_D_real: -0.028786 Loss_D_fake -0.008427
[1650/5000][355/535][170350] Loss_D: -0.018700 Loss_G: 0.024791 Loss_D_real: -0.020404 Loss_D_fake -0.001705
[1650/5000][360/535][170351] Loss_D: -0.019787 Loss_G: 0.010521 Loss_D_real: -0.011242 Loss_D_fake 0.008544
[1650/5000][365/535][170352] Loss_D: -0.019736 Loss_G: 0.003553 Loss_D_real: -0.022795 Loss_D_fake -0.003058
[1650/5000][370/535][170353] Loss_D: -0.018305 Loss_G: -0.011790 Loss_D_real: 0.001366 Loss_D_fake 0.019671
[1650/5000][375/535][170354] Loss_D: -0.019473 Loss_G: 0.012988 Loss_D_real: -0.023342 Loss_D_fake -0.003868
[1650/5000][380/535][170355] Loss_D: -0.018087 Loss_G: -0.002854 Loss_D_real: -0.013425 Loss_D_fake 0.004662
[1650/5000][385/535][170356] Loss_D: -0.018834 Loss_G: -0.002132 Loss_D_real: -0.008666 Loss_D_fake 0.010169
[1650/5000][390/535][170357] Loss_D: -0.018309 Loss_G: 0.013872 Loss_D_real: -0.020150 Loss_D_fake -0.001841
[1650/5000][395/535][170358] Loss_D: -0.019492 Loss_G: 0.024140 Loss_D_real: -0.025539 Loss_D_fake -0.006047
[1650/5000][400/535][170359] Loss_D: -0.018072 Loss_G: -0.000550 Loss_D_real: -0.007511 Loss_D_fake 0.010561
[1650/5000][405/535][170360] Loss_D: -0.017406 Loss_G: 0.012215 Loss_D_real: -0.026927 Loss_D_fake -0.009520
[1650/5000][410/535][170361] Loss_D: -0.019286 Loss_G: 0.005760 Loss_D_real: -0.009648 Loss_D_fake 0.009638
[1650/5000][415/535][170362] Loss_D: -0.019137 Loss_G: 0.015024 Loss_D_real: -0.014804 Loss_D_fake 0.004333
[1650/5000][420/535][170363] Loss_D: -0.018407 Loss_G: 0.008690 Loss_D_real: -0.016004 Loss_D_fake 0.002403
[1650/5000][425/535][170364] Loss_D: -0.019011 Loss_G: 0.023769 Loss_D_real: -0.025620 Loss_D_fake -0.006609
[1650/5000][430/535][170365] Loss_D: -0.015267 Loss_G: 0.025698 Loss_D_real: -0.036152 Loss_D_fake -0.020885
[1650/5000][435/535][170366] Loss_D: -0.018509 Loss_G: 0.001280 Loss_D_real: -0.013832 Loss_D_fake 0.004677
[1650/5000][440/535][170367] Loss_D: -0.018485 Loss_G: 0.016913 Loss_D_real: -0.017357 Loss_D_fake 0.001127
[1650/5000][445/535][170368] Loss_D: -0.020335 Loss_G: -0.003528 Loss_D_real: -0.006505 Loss_D_fake 0.013830
[1650/5000][450/535][170369] Loss_D: -0.018249 Loss_G: -0.004280 Loss_D_real: -0.002923 Loss_D_fake 0.015326
[1650/5000][455/535][170370] Loss_D: -0.018243 Loss_G: 0.015281 Loss_D_real: -0.018312 Loss_D_fake -0.000069
[1650/5000][460/535][170371] Loss_D: -0.018496 Loss_G: -0.011764 Loss_D_real: -0.005501 Loss_D_fake 0.012995
[1650/5000][465/535][170372] Loss_D: -0.020323 Loss_G: -0.011413 Loss_D_real: -0.007379 Loss_D_fake 0.012944
[1650/5000][470/535][170373] Loss_D: -0.013630 Loss_G: 0.037371 Loss_D_real: -0.038311 Loss_D_fake -0.024681
[1650/5000][475/535][170374] Loss_D: -0.018531 Loss_G: 0.000260 Loss_D_real: -0.014676 Loss_D_fake 0.003855
[1650/5000][480/535][170375] Loss_D: -0.018811 Loss_G: 0.014767 Loss_D_real: -0.031628 Loss_D_fake -0.012816
[1650/5000][485/535][170376] Loss_D: -0.019352 Loss_G: 0.026756 Loss_D_real: -0.019443 Loss_D_fake -0.000091
[1650/5000][490/535][170377] Loss_D: -0.019690 Loss_G: -0.007474 Loss_D_real: -0.018713 Loss_D_fake 0.000977
[1650/5000][495/535][170378] Loss_D: -0.017921 Loss_G: -0.002330 Loss_D_real: -0.016336 Loss_D_fake 0.001585
[1650/5000][500/535][170379] Loss_D: -0.017090 Loss_G: 0.009021 Loss_D_real: -0.028197 Loss_D_fake -0.011107
[1650/5000][505/535][170380] Loss_D: -0.017655 Loss_G: 0.033724 Loss_D_real: -0.030250 Loss_D_fake -0.012595
[1650/5000][510/535][170381] Loss_D: -0.018889 Loss_G: 0.004171 Loss_D_real: -0.011263 Loss_D_fake 0.007626
[1650/5000][515/535][170382] Loss_D: -0.019495 Loss_G: -0.003165 Loss_D_real: -0.011407 Loss_D_fake 0.008088
[1650/5000][520/535][170383] Loss_D: -0.017934 Loss_G: 0.010537 Loss_D_real: -0.017889 Loss_D_fake 0.000045
[1650/5000][525/535][170384] Loss_D: -0.019572 Loss_G: 0.011909 Loss_D_real: -0.012244 Loss_D_fake 0.007328
[1650/5000][530/535][170385] Loss_D: -0.017685 Loss_G: 0.011547 Loss_D_real: -0.016720 Loss_D_fake 0.000965
[1650/5000][535/535][170386] Loss_D: -0.021203 Loss_G: -0.005732 Loss_D_real: -0.011607 Loss_D_fake 0.009596
[1651/5000][5/535][170387] Loss_D: -0.020615 Loss_G: 0.001200 Loss_D_real: -0.016463 Loss_D_fake 0.004152
[1651/5000][10/535][170388] Loss_D: -0.019234 Loss_G: -0.001883 Loss_D_real: 0.003164 Loss_D_fake 0.022398
[1651/5000][15/535][170389] Loss_D: -0.020111 Loss_G: -0.004656 Loss_D_real: -0.000969 Loss_D_fake 0.019141
[1651/5000][20/535][170390] Loss_D: -0.019438 Loss_G: 0.007210 Loss_D_real: -0.019673 Loss_D_fake -0.000235
[1651/5000][25/535][170391] Loss_D: -0.020325 Loss_G: 0.009364 Loss_D_real: -0.010504 Loss_D_fake 0.009821
[1651/5000][30/535][170392] Loss_D: -0.019970 Loss_G: 0.012351 Loss_D_real: -0.015195 Loss_D_fake 0.004774
[1651/5000][35/535][170393] Loss_D: -0.020461 Loss_G: 0.009588 Loss_D_real: -0.008325 Loss_D_fake 0.012136
[1651/5000][40/535][170394] Loss_D: -0.019690 Loss_G: -0.004359 Loss_D_real: 0.002157 Loss_D_fake 0.021847
[1651/5000][45/535][170395] Loss_D: -0.017730 Loss_G: 0.014164 Loss_D_real: -0.036419 Loss_D_fake -0.018689
[1651/5000][50/535][170396] Loss_D: -0.021455 Loss_G: 0.012898 Loss_D_real: -0.014486 Loss_D_fake 0.006969
[1651/5000][55/535][170397] Loss_D: -0.020140 Loss_G: 0.003364 Loss_D_real: -0.003319 Loss_D_fake 0.016821
[1651/5000][60/535][170398] Loss_D: -0.020089 Loss_G: 0.010321 Loss_D_real: -0.010175 Loss_D_fake 0.009915
[1651/5000][65/535][170399] Loss_D: -0.019678 Loss_G: 0.015739 Loss_D_real: -0.030016 Loss_D_fake -0.010338
[1651/5000][70/535][170400] Loss_D: -0.019307 Loss_G: 0.008370 Loss_D_real: -0.020987 Loss_D_fake -0.001680
[1651/5000][75/535][170401] Loss_D: -0.019444 Loss_G: 0.003921 Loss_D_real: -0.013703 Loss_D_fake 0.005741
[1651/5000][80/535][170402] Loss_D: -0.018826 Loss_G: -0.003171 Loss_D_real: -0.004785 Loss_D_fake 0.014041
[1651/5000][85/535][170403] Loss_D: -0.018306 Loss_G: 0.018434 Loss_D_real: -0.018767 Loss_D_fake -0.000461
[1651/5000][90/535][170404] Loss_D: -0.020255 Loss_G: 0.000493 Loss_D_real: -0.012819 Loss_D_fake 0.007436
[1651/5000][95/535][170405] Loss_D: -0.019857 Loss_G: 0.006877 Loss_D_real: -0.014462 Loss_D_fake 0.005395
[1651/5000][100/535][170406] Loss_D: -0.018066 Loss_G: 0.012140 Loss_D_real: -0.027702 Loss_D_fake -0.009636
[1651/5000][105/535][170407] Loss_D: -0.018558 Loss_G: -0.002921 Loss_D_real: -0.000989 Loss_D_fake 0.017569
[1651/5000][110/535][170408] Loss_D: -0.018701 Loss_G: 0.021441 Loss_D_real: -0.027413 Loss_D_fake -0.008712
[1651/5000][115/535][170409] Loss_D: -0.019619 Loss_G: 0.017667 Loss_D_real: -0.024773 Loss_D_fake -0.005154
[1651/5000][120/535][170410] Loss_D: -0.019958 Loss_G: 0.005394 Loss_D_real: -0.015424 Loss_D_fake 0.004534
[1651/5000][125/535][170411] Loss_D: -0.019184 Loss_G: 0.009250 Loss_D_real: -0.018355 Loss_D_fake 0.000828
[1651/5000][130/535][170412] Loss_D: -0.019908 Loss_G: -0.001535 Loss_D_real: -0.011328 Loss_D_fake 0.008580
[1651/5000][135/535][170413] Loss_D: -0.018480 Loss_G: 0.029021 Loss_D_real: -0.036486 Loss_D_fake -0.018006
[1651/5000][140/535][170414] Loss_D: -0.018772 Loss_G: -0.012822 Loss_D_real: 0.003372 Loss_D_fake 0.022145
[1651/5000][145/535][170415] Loss_D: -0.019493 Loss_G: 0.013144 Loss_D_real: -0.016337 Loss_D_fake 0.003157
[1651/5000][150/535][170416] Loss_D: -0.018936 Loss_G: 0.013770 Loss_D_real: -0.022894 Loss_D_fake -0.003957
[1651/5000][155/535][170417] Loss_D: -0.018635 Loss_G: 0.008795 Loss_D_real: -0.007506 Loss_D_fake 0.011129
[1651/5000][160/535][170418] Loss_D: -0.019703 Loss_G: 0.015070 Loss_D_real: -0.017169 Loss_D_fake 0.002534
[1651/5000][165/535][170419] Loss_D: -0.019114 Loss_G: 0.007478 Loss_D_real: -0.018227 Loss_D_fake 0.000887
[1651/5000][170/535][170420] Loss_D: -0.019009 Loss_G: -0.011473 Loss_D_real: -0.006094 Loss_D_fake 0.012916
[1651/5000][175/535][170421] Loss_D: -0.019048 Loss_G: -0.000594 Loss_D_real: -0.014447 Loss_D_fake 0.004601
[1651/5000][180/535][170422] Loss_D: -0.019044 Loss_G: 0.019505 Loss_D_real: -0.017176 Loss_D_fake 0.001868
[1651/5000][185/535][170423] Loss_D: -0.020966 Loss_G: 0.014169 Loss_D_real: -0.022565 Loss_D_fake -0.001599
[1651/5000][190/535][170424] Loss_D: -0.018010 Loss_G: -0.005876 Loss_D_real: -0.021984 Loss_D_fake -0.003974
[1651/5000][195/535][170425] Loss_D: -0.018984 Loss_G: 0.002337 Loss_D_real: -0.026747 Loss_D_fake -0.007763
[1651/5000][200/535][170426] Loss_D: -0.018127 Loss_G: -0.011715 Loss_D_real: -0.004025 Loss_D_fake 0.014102
[1651/5000][205/535][170427] Loss_D: -0.018265 Loss_G: 0.016289 Loss_D_real: -0.026990 Loss_D_fake -0.008725
[1651/5000][210/535][170428] Loss_D: -0.019532 Loss_G: 0.002517 Loss_D_real: -0.002182 Loss_D_fake 0.017350
[1651/5000][215/535][170429] Loss_D: -0.019641 Loss_G: 0.005766 Loss_D_real: -0.018183 Loss_D_fake 0.001457
[1651/5000][220/535][170430] Loss_D: -0.018432 Loss_G: 0.004636 Loss_D_real: -0.003173 Loss_D_fake 0.015259
[1651/5000][225/535][170431] Loss_D: -0.017028 Loss_G: -0.016550 Loss_D_real: 0.001448 Loss_D_fake 0.018476
[1651/5000][230/535][170432] Loss_D: -0.018598 Loss_G: 0.024493 Loss_D_real: -0.007875 Loss_D_fake 0.010723
[1651/5000][235/535][170433] Loss_D: -0.018670 Loss_G: 0.013672 Loss_D_real: -0.015915 Loss_D_fake 0.002755
[1651/5000][240/535][170434] Loss_D: -0.019544 Loss_G: 0.025252 Loss_D_real: -0.019260 Loss_D_fake 0.000284
[1651/5000][245/535][170435] Loss_D: -0.018887 Loss_G: -0.017663 Loss_D_real: -0.004448 Loss_D_fake 0.014440
[1651/5000][250/535][170436] Loss_D: -0.018570 Loss_G: 0.014124 Loss_D_real: -0.021251 Loss_D_fake -0.002682
[1651/5000][255/535][170437] Loss_D: -0.020276 Loss_G: 0.006594 Loss_D_real: -0.014386 Loss_D_fake 0.005890
[1651/5000][260/535][170438] Loss_D: -0.017909 Loss_G: 0.020199 Loss_D_real: -0.031934 Loss_D_fake -0.014025
[1651/5000][265/535][170439] Loss_D: -0.019259 Loss_G: 0.009109 Loss_D_real: -0.019865 Loss_D_fake -0.000605
[1651/5000][270/535][170440] Loss_D: -0.018794 Loss_G: -0.003300 Loss_D_real: -0.008027 Loss_D_fake 0.010766
[1651/5000][275/535][170441] Loss_D: -0.018434 Loss_G: 0.004059 Loss_D_real: -0.014904 Loss_D_fake 0.003530
[1651/5000][280/535][170442] Loss_D: -0.018540 Loss_G: 0.017490 Loss_D_real: -0.024164 Loss_D_fake -0.005624
[1651/5000][285/535][170443] Loss_D: -0.020295 Loss_G: 0.000158 Loss_D_real: -0.014051 Loss_D_fake 0.006245
[1651/5000][290/535][170444] Loss_D: -0.019677 Loss_G: -0.001850 Loss_D_real: -0.014274 Loss_D_fake 0.005403
[1651/5000][295/535][170445] Loss_D: -0.019281 Loss_G: -0.001909 Loss_D_real: -0.006278 Loss_D_fake 0.013003
[1651/5000][300/535][170446] Loss_D: -0.019272 Loss_G: 0.003724 Loss_D_real: -0.015558 Loss_D_fake 0.003714
[1651/5000][305/535][170447] Loss_D: -0.019939 Loss_G: 0.023940 Loss_D_real: -0.014648 Loss_D_fake 0.005291
[1651/5000][310/535][170448] Loss_D: -0.019680 Loss_G: 0.004519 Loss_D_real: -0.012500 Loss_D_fake 0.007180
[1651/5000][315/535][170449] Loss_D: -0.020494 Loss_G: 0.020768 Loss_D_real: -0.013086 Loss_D_fake 0.007408
[1651/5000][320/535][170450] Loss_D: -0.019155 Loss_G: -0.005585 Loss_D_real: -0.000899 Loss_D_fake 0.018256
[1651/5000][325/535][170451] Loss_D: -0.019972 Loss_G: 0.009036 Loss_D_real: -0.024291 Loss_D_fake -0.004319
[1651/5000][330/535][170452] Loss_D: -0.018637 Loss_G: 0.008204 Loss_D_real: -0.012897 Loss_D_fake 0.005740
[1651/5000][335/535][170453] Loss_D: -0.019590 Loss_G: 0.008884 Loss_D_real: -0.020018 Loss_D_fake -0.000428
[1651/5000][340/535][170454] Loss_D: -0.017872 Loss_G: -0.006751 Loss_D_real: -0.012302 Loss_D_fake 0.005570
[1651/5000][345/535][170455] Loss_D: -0.017123 Loss_G: -0.016913 Loss_D_real: -0.000153 Loss_D_fake 0.016970
[1651/5000][350/535][170456] Loss_D: -0.019649 Loss_G: -0.005553 Loss_D_real: -0.006767 Loss_D_fake 0.012882
[1651/5000][355/535][170457] Loss_D: -0.018728 Loss_G: -0.002216 Loss_D_real: 0.003835 Loss_D_fake 0.022563
[1651/5000][360/535][170458] Loss_D: -0.019210 Loss_G: 0.004671 Loss_D_real: -0.008490 Loss_D_fake 0.010720
[1651/5000][365/535][170459] Loss_D: -0.018189 Loss_G: 0.009538 Loss_D_real: -0.014300 Loss_D_fake 0.003889
[1651/5000][370/535][170460] Loss_D: -0.018937 Loss_G: 0.009111 Loss_D_real: -0.012177 Loss_D_fake 0.006760
[1651/5000][375/535][170461] Loss_D: -0.017488 Loss_G: 0.025362 Loss_D_real: -0.020914 Loss_D_fake -0.003426
[1651/5000][380/535][170462] Loss_D: -0.019044 Loss_G: 0.002413 Loss_D_real: -0.019485 Loss_D_fake -0.000441
[1651/5000][385/535][170463] Loss_D: -0.018955 Loss_G: 0.025333 Loss_D_real: -0.030987 Loss_D_fake -0.012032
[1651/5000][390/535][170464] Loss_D: -0.019186 Loss_G: 0.009140 Loss_D_real: -0.031274 Loss_D_fake -0.012088
[1651/5000][395/535][170465] Loss_D: -0.019825 Loss_G: 0.005854 Loss_D_real: -0.027718 Loss_D_fake -0.007893
[1651/5000][400/535][170466] Loss_D: -0.019006 Loss_G: 0.007579 Loss_D_real: -0.010397 Loss_D_fake 0.008609
[1651/5000][405/535][170467] Loss_D: -0.019996 Loss_G: 0.014769 Loss_D_real: -0.022975 Loss_D_fake -0.002979
[1651/5000][410/535][170468] Loss_D: -0.020190 Loss_G: 0.011906 Loss_D_real: -0.024827 Loss_D_fake -0.004637
[1651/5000][415/535][170469] Loss_D: -0.019804 Loss_G: -0.021580 Loss_D_real: -0.006999 Loss_D_fake 0.012805
[1651/5000][420/535][170470] Loss_D: -0.017778 Loss_G: 0.028811 Loss_D_real: -0.026523 Loss_D_fake -0.008745
[1651/5000][425/535][170471] Loss_D: -0.019230 Loss_G: 0.008928 Loss_D_real: -0.015752 Loss_D_fake 0.003478
[1651/5000][430/535][170472] Loss_D: -0.019766 Loss_G: 0.011614 Loss_D_real: -0.021202 Loss_D_fake -0.001435
[1651/5000][435/535][170473] Loss_D: -0.019039 Loss_G: 0.010447 Loss_D_real: -0.019681 Loss_D_fake -0.000642
[1651/5000][440/535][170474] Loss_D: -0.017526 Loss_G: 0.019430 Loss_D_real: -0.023635 Loss_D_fake -0.006109
[1651/5000][445/535][170475] Loss_D: -0.019973 Loss_G: -0.001649 Loss_D_real: -0.016961 Loss_D_fake 0.003012
[1651/5000][450/535][170476] Loss_D: -0.019506 Loss_G: 0.016891 Loss_D_real: -0.007919 Loss_D_fake 0.011587
[1651/5000][455/535][170477] Loss_D: -0.019129 Loss_G: 0.012258 Loss_D_real: -0.030215 Loss_D_fake -0.011087
[1651/5000][460/535][170478] Loss_D: -0.019504 Loss_G: 0.005850 Loss_D_real: -0.018583 Loss_D_fake 0.000921
[1651/5000][465/535][170479] Loss_D: -0.018906 Loss_G: 0.009321 Loss_D_real: -0.015032 Loss_D_fake 0.003874
[1651/5000][470/535][170480] Loss_D: -0.019177 Loss_G: 0.008628 Loss_D_real: -0.019803 Loss_D_fake -0.000627
[1651/5000][475/535][170481] Loss_D: -0.020662 Loss_G: 0.018293 Loss_D_real: -0.036185 Loss_D_fake -0.015524
[1651/5000][480/535][170482] Loss_D: -0.018812 Loss_G: -0.007058 Loss_D_real: -0.004592 Loss_D_fake 0.014220
[1651/5000][485/535][170483] Loss_D: -0.019665 Loss_G: 0.007597 Loss_D_real: -0.002538 Loss_D_fake 0.017128
[1651/5000][490/535][170484] Loss_D: -0.019231 Loss_G: -0.003302 Loss_D_real: -0.021213 Loss_D_fake -0.001981
[1651/5000][495/535][170485] Loss_D: -0.019477 Loss_G: 0.006407 Loss_D_real: -0.014966 Loss_D_fake 0.004511
[1651/5000][500/535][170486] Loss_D: -0.019004 Loss_G: 0.012788 Loss_D_real: -0.024796 Loss_D_fake -0.005792
[1651/5000][505/535][170487] Loss_D: -0.019849 Loss_G: 0.001636 Loss_D_real: -0.020108 Loss_D_fake -0.000258
[1651/5000][510/535][170488] Loss_D: -0.020646 Loss_G: -0.001332 Loss_D_real: -0.016440 Loss_D_fake 0.004206
[1651/5000][515/535][170489] Loss_D: -0.019075 Loss_G: 0.000361 Loss_D_real: -0.007213 Loss_D_fake 0.011862
[1651/5000][520/535][170490] Loss_D: -0.019503 Loss_G: -0.003784 Loss_D_real: -0.010372 Loss_D_fake 0.009130
[1651/5000][525/535][170491] Loss_D: -0.019821 Loss_G: 0.021379 Loss_D_real: -0.016873 Loss_D_fake 0.002948
[1651/5000][530/535][170492] Loss_D: -0.017805 Loss_G: -0.005671 Loss_D_real: 0.002066 Loss_D_fake 0.019871
[1651/5000][535/535][170493] Loss_D: -0.019142 Loss_G: 0.029183 Loss_D_real: -0.025402 Loss_D_fake -0.006260
[1652/5000][5/535][170494] Loss_D: -0.017682 Loss_G: -0.004726 Loss_D_real: -0.003431 Loss_D_fake 0.014251
[1652/5000][10/535][170495] Loss_D: -0.018941 Loss_G: -0.000632 Loss_D_real: -0.010037 Loss_D_fake 0.008903
[1652/5000][15/535][170496] Loss_D: -0.019001 Loss_G: 0.012499 Loss_D_real: -0.030018 Loss_D_fake -0.011017
[1652/5000][20/535][170497] Loss_D: -0.019311 Loss_G: 0.014800 Loss_D_real: -0.014221 Loss_D_fake 0.005091
[1652/5000][25/535][170498] Loss_D: -0.018988 Loss_G: 0.002588 Loss_D_real: -0.019423 Loss_D_fake -0.000434
[1652/5000][30/535][170499] Loss_D: -0.018898 Loss_G: 0.018645 Loss_D_real: -0.031854 Loss_D_fake -0.012957
[1652/5000][35/535][170500] Loss_D: -0.021317 Loss_G: 0.009767 Loss_D_real: 0.002744 Loss_D_fake 0.024060
[1652/5000][135/535][170501] Loss_D: -0.021172 Loss_G: 0.013595 Loss_D_real: -0.026255 Loss_D_fake -0.005082
[1652/5000][140/535][170502] Loss_D: -0.017505 Loss_G: -0.001304 Loss_D_real: -0.013346 Loss_D_fake 0.004159
[1652/5000][145/535][170503] Loss_D: -0.016716 Loss_G: -0.001532 Loss_D_real: -0.009111 Loss_D_fake 0.007606
[1652/5000][150/535][170504] Loss_D: -0.018959 Loss_G: -0.018995 Loss_D_real: -0.006336 Loss_D_fake 0.012623
[1652/5000][155/535][170505] Loss_D: -0.019018 Loss_G: 0.006692 Loss_D_real: -0.008702 Loss_D_fake 0.010316
[1652/5000][160/535][170506] Loss_D: -0.017559 Loss_G: 0.019987 Loss_D_real: -0.022845 Loss_D_fake -0.005286
[1652/5000][165/535][170507] Loss_D: -0.017139 Loss_G: 0.023868 Loss_D_real: -0.025353 Loss_D_fake -0.008215
[1652/5000][170/535][170508] Loss_D: -0.018134 Loss_G: 0.010428 Loss_D_real: -0.017672 Loss_D_fake 0.000463
[1652/5000][175/535][170509] Loss_D: -0.015079 Loss_G: 0.019029 Loss_D_real: -0.027740 Loss_D_fake -0.012661
[1652/5000][180/535][170510] Loss_D: -0.018126 Loss_G: 0.015569 Loss_D_real: -0.026218 Loss_D_fake -0.008093
[1652/5000][185/535][170511] Loss_D: -0.018689 Loss_G: 0.005772 Loss_D_real: -0.013959 Loss_D_fake 0.004730
[1652/5000][190/535][170512] Loss_D: -0.017802 Loss_G: -0.000166 Loss_D_real: -0.002063 Loss_D_fake 0.015739
[1652/5000][195/535][170513] Loss_D: -0.016840 Loss_G: 0.003758 Loss_D_real: -0.010560 Loss_D_fake 0.006280
[1652/5000][200/535][170514] Loss_D: -0.017803 Loss_G: 0.010508 Loss_D_real: -0.019211 Loss_D_fake -0.001408
[1652/5000][205/535][170515] Loss_D: -0.017190 Loss_G: 0.020281 Loss_D_real: -0.031463 Loss_D_fake -0.014273
[1652/5000][210/535][170516] Loss_D: -0.019165 Loss_G: 0.012167 Loss_D_real: -0.020902 Loss_D_fake -0.001737
[1652/5000][215/535][170517] Loss_D: -0.018757 Loss_G: 0.009003 Loss_D_real: -0.008568 Loss_D_fake 0.010189
[1652/5000][220/535][170518] Loss_D: -0.018252 Loss_G: -0.005999 Loss_D_real: -0.010857 Loss_D_fake 0.007395
[1652/5000][225/535][170519] Loss_D: -0.019630 Loss_G: 0.018758 Loss_D_real: -0.015607 Loss_D_fake 0.004023
[1652/5000][230/535][170520] Loss_D: -0.019056 Loss_G: 0.008075 Loss_D_real: -0.016587 Loss_D_fake 0.002469
[1652/5000][235/535][170521] Loss_D: -0.019340 Loss_G: -0.007114 Loss_D_real: -0.007030 Loss_D_fake 0.012309
[1652/5000][240/535][170522] Loss_D: -0.019264 Loss_G: 0.007376 Loss_D_real: -0.014129 Loss_D_fake 0.005135
[1652/5000][245/535][170523] Loss_D: -0.019311 Loss_G: -0.002795 Loss_D_real: -0.009410 Loss_D_fake 0.009901
[1652/5000][250/535][170524] Loss_D: -0.019450 Loss_G: 0.020979 Loss_D_real: -0.023663 Loss_D_fake -0.004212
[1652/5000][255/535][170525] Loss_D: -0.018593 Loss_G: -0.004195 Loss_D_real: -0.014594 Loss_D_fake 0.003999
[1652/5000][260/535][170526] Loss_D: -0.019278 Loss_G: -0.002769 Loss_D_real: -0.010052 Loss_D_fake 0.009227
[1652/5000][265/535][170527] Loss_D: -0.018383 Loss_G: 0.005459 Loss_D_real: -0.006064 Loss_D_fake 0.012319
[1652/5000][270/535][170528] Loss_D: -0.018398 Loss_G: 0.017234 Loss_D_real: -0.021066 Loss_D_fake -0.002668
[1652/5000][275/535][170529] Loss_D: -0.020094 Loss_G: -0.011093 Loss_D_real: -0.012631 Loss_D_fake 0.007463
[1652/5000][280/535][170530] Loss_D: -0.019404 Loss_G: 0.013120 Loss_D_real: -0.018250 Loss_D_fake 0.001154
[1652/5000][285/535][170531] Loss_D: -0.019899 Loss_G: 0.000414 Loss_D_real: -0.016083 Loss_D_fake 0.003816
[1652/5000][290/535][170532] Loss_D: -0.019680 Loss_G: 0.007998 Loss_D_real: -0.017360 Loss_D_fake 0.002319
[1652/5000][295/535][170533] Loss_D: -0.020929 Loss_G: -0.004336 Loss_D_real: -0.021584 Loss_D_fake -0.000654
[1652/5000][300/535][170534] Loss_D: -0.020283 Loss_G: 0.026722 Loss_D_real: -0.023787 Loss_D_fake -0.003504
[1652/5000][305/535][170535] Loss_D: -0.019003 Loss_G: -0.021555 Loss_D_real: -0.008893 Loss_D_fake 0.010110
[1652/5000][310/535][170536] Loss_D: -0.018127 Loss_G: 0.018289 Loss_D_real: -0.022614 Loss_D_fake -0.004487
[1652/5000][315/535][170537] Loss_D: -0.019865 Loss_G: 0.025047 Loss_D_real: -0.032194 Loss_D_fake -0.012329
[1652/5000][320/535][170538] Loss_D: -0.019162 Loss_G: 0.000606 Loss_D_real: -0.014020 Loss_D_fake 0.005143
[1652/5000][325/535][170539] Loss_D: -0.019584 Loss_G: 0.008190 Loss_D_real: -0.012170 Loss_D_fake 0.007414
[1652/5000][330/535][170540] Loss_D: -0.018515 Loss_G: 0.009276 Loss_D_real: -0.027336 Loss_D_fake -0.008821
[1652/5000][335/535][170541] Loss_D: -0.020143 Loss_G: 0.023314 Loss_D_real: -0.017607 Loss_D_fake 0.002536
[1652/5000][340/535][170542] Loss_D: -0.019347 Loss_G: 0.013314 Loss_D_real: -0.018778 Loss_D_fake 0.000569
[1652/5000][345/535][170543] Loss_D: -0.018736 Loss_G: 0.027628 Loss_D_real: -0.029543 Loss_D_fake -0.010807
[1652/5000][350/535][170544] Loss_D: -0.017869 Loss_G: 0.013731 Loss_D_real: -0.030201 Loss_D_fake -0.012332
[1652/5000][355/535][170545] Loss_D: -0.018571 Loss_G: 0.016881 Loss_D_real: -0.019752 Loss_D_fake -0.001181
[1652/5000][360/535][170546] Loss_D: -0.018890 Loss_G: 0.005154 Loss_D_real: -0.002272 Loss_D_fake 0.016618
[1652/5000][365/535][170547] Loss_D: -0.017655 Loss_G: 0.011439 Loss_D_real: -0.021685 Loss_D_fake -0.004030
[1652/5000][370/535][170548] Loss_D: -0.019107 Loss_G: -0.007838 Loss_D_real: -0.008533 Loss_D_fake 0.010574
[1652/5000][375/535][170549] Loss_D: -0.018499 Loss_G: -0.009101 Loss_D_real: 0.001997 Loss_D_fake 0.020496
[1652/5000][380/535][170550] Loss_D: -0.018405 Loss_G: -0.005596 Loss_D_real: -0.002814 Loss_D_fake 0.015591
[1652/5000][385/535][170551] Loss_D: -0.018829 Loss_G: 0.032704 Loss_D_real: -0.023240 Loss_D_fake -0.004410
[1652/5000][390/535][170552] Loss_D: -0.019447 Loss_G: 0.008708 Loss_D_real: -0.018242 Loss_D_fake 0.001205
[1652/5000][395/535][170553] Loss_D: -0.018906 Loss_G: 0.004650 Loss_D_real: -0.014201 Loss_D_fake 0.004705
[1652/5000][400/535][170554] Loss_D: -0.019434 Loss_G: -0.005987 Loss_D_real: -0.015644 Loss_D_fake 0.003791
[1652/5000][405/535][170555] Loss_D: -0.019706 Loss_G: 0.000812 Loss_D_real: -0.006534 Loss_D_fake 0.013172
[1652/5000][410/535][170556] Loss_D: -0.018640 Loss_G: 0.006129 Loss_D_real: -0.004585 Loss_D_fake 0.014055
[1652/5000][415/535][170557] Loss_D: -0.020016 Loss_G: 0.010536 Loss_D_real: -0.012121 Loss_D_fake 0.007895
[1652/5000][420/535][170558] Loss_D: -0.018883 Loss_G: 0.012583 Loss_D_real: -0.017611 Loss_D_fake 0.001272
[1652/5000][425/535][170559] Loss_D: -0.019384 Loss_G: -0.011906 Loss_D_real: -0.004074 Loss_D_fake 0.015311
[1652/5000][430/535][170560] Loss_D: -0.018478 Loss_G: -0.011968 Loss_D_real: 0.007505 Loss_D_fake 0.025983
[1652/5000][435/535][170561] Loss_D: -0.018779 Loss_G: 0.020214 Loss_D_real: -0.021013 Loss_D_fake -0.002234
[1652/5000][440/535][170562] Loss_D: -0.019527 Loss_G: 0.015682 Loss_D_real: -0.021679 Loss_D_fake -0.002152
[1652/5000][445/535][170563] Loss_D: -0.021038 Loss_G: 0.004783 Loss_D_real: -0.009086 Loss_D_fake 0.011952
[1652/5000][450/535][170564] Loss_D: -0.019654 Loss_G: 0.007078 Loss_D_real: -0.013231 Loss_D_fake 0.006423
[1652/5000][455/535][170565] Loss_D: -0.019161 Loss_G: 0.028099 Loss_D_real: -0.027102 Loss_D_fake -0.007941
[1652/5000][460/535][170566] Loss_D: -0.020149 Loss_G: -0.000827 Loss_D_real: -0.010046 Loss_D_fake 0.010102
[1652/5000][465/535][170567] Loss_D: -0.017921 Loss_G: -0.011695 Loss_D_real: -0.014819 Loss_D_fake 0.003102
[1652/5000][470/535][170568] Loss_D: -0.019169 Loss_G: 0.022245 Loss_D_real: -0.018785 Loss_D_fake 0.000384
[1652/5000][475/535][170569] Loss_D: -0.018842 Loss_G: 0.002160 Loss_D_real: -0.008966 Loss_D_fake 0.009876
[1652/5000][480/535][170570] Loss_D: -0.020207 Loss_G: 0.020534 Loss_D_real: -0.020084 Loss_D_fake 0.000122
[1652/5000][485/535][170571] Loss_D: -0.019231 Loss_G: -0.001519 Loss_D_real: -0.001956 Loss_D_fake 0.017275
[1652/5000][490/535][170572] Loss_D: -0.018960 Loss_G: 0.015172 Loss_D_real: -0.023044 Loss_D_fake -0.004083
[1652/5000][495/535][170573] Loss_D: -0.020220 Loss_G: 0.007670 Loss_D_real: -0.012976 Loss_D_fake 0.007244
[1652/5000][500/535][170574] Loss_D: -0.019461 Loss_G: 0.013485 Loss_D_real: -0.024826 Loss_D_fake -0.005365
[1652/5000][505/535][170575] Loss_D: -0.020396 Loss_G: 0.016716 Loss_D_real: -0.016685 Loss_D_fake 0.003711
[1652/5000][510/535][170576] Loss_D: -0.021157 Loss_G: 0.000064 Loss_D_real: -0.011673 Loss_D_fake 0.009484
[1652/5000][515/535][170577] Loss_D: -0.019107 Loss_G: 0.013737 Loss_D_real: -0.009858 Loss_D_fake 0.009249
[1652/5000][520/535][170578] Loss_D: -0.020202 Loss_G: 0.010920 Loss_D_real: -0.026498 Loss_D_fake -0.006297
[1652/5000][525/535][170579] Loss_D: -0.019845 Loss_G: 0.010407 Loss_D_real: -0.018308 Loss_D_fake 0.001537
[1652/5000][530/535][170580] Loss_D: -0.019324 Loss_G: 0.020238 Loss_D_real: -0.029728 Loss_D_fake -0.010404
[1652/5000][535/535][170581] Loss_D: -0.013052 Loss_G: -0.025034 Loss_D_real: 0.011163 Loss_D_fake 0.024214
[1653/5000][5/535][170582] Loss_D: -0.019320 Loss_G: 0.012509 Loss_D_real: -0.019508 Loss_D_fake -0.000189
[1653/5000][10/535][170583] Loss_D: -0.017452 Loss_G: 0.001849 Loss_D_real: -0.008425 Loss_D_fake 0.009027
[1653/5000][15/535][170584] Loss_D: -0.018938 Loss_G: -0.009922 Loss_D_real: -0.011019 Loss_D_fake 0.007919
[1653/5000][20/535][170585] Loss_D: -0.017370 Loss_G: 0.021885 Loss_D_real: -0.021550 Loss_D_fake -0.004180
[1653/5000][25/535][170586] Loss_D: -0.017490 Loss_G: -0.013849 Loss_D_real: -0.011406 Loss_D_fake 0.006084
[1653/5000][30/535][170587] Loss_D: -0.019722 Loss_G: 0.001281 Loss_D_real: -0.013482 Loss_D_fake 0.006241
[1653/5000][35/535][170588] Loss_D: -0.019843 Loss_G: 0.025593 Loss_D_real: -0.016769 Loss_D_fake 0.003074
[1653/5000][40/535][170589] Loss_D: -0.017617 Loss_G: -0.017145 Loss_D_real: 0.003015 Loss_D_fake 0.020632
[1653/5000][45/535][170590] Loss_D: -0.020890 Loss_G: -0.000383 Loss_D_real: -0.008670 Loss_D_fake 0.012220
[1653/5000][50/535][170591] Loss_D: -0.019442 Loss_G: 0.000349 Loss_D_real: -0.009046 Loss_D_fake 0.010396
[1653/5000][55/535][170592] Loss_D: -0.018177 Loss_G: 0.002710 Loss_D_real: -0.009287 Loss_D_fake 0.008890
[1653/5000][60/535][170593] Loss_D: -0.019597 Loss_G: 0.011766 Loss_D_real: -0.022824 Loss_D_fake -0.003227
[1653/5000][65/535][170594] Loss_D: -0.019984 Loss_G: 0.000680 Loss_D_real: -0.020236 Loss_D_fake -0.000253
[1653/5000][70/535][170595] Loss_D: -0.019985 Loss_G: 0.004252 Loss_D_real: -0.011448 Loss_D_fake 0.008537
[1653/5000][75/535][170596] Loss_D: -0.019525 Loss_G: 0.020464 Loss_D_real: -0.025654 Loss_D_fake -0.006128
[1653/5000][80/535][170597] Loss_D: -0.019627 Loss_G: 0.000456 Loss_D_real: -0.012185 Loss_D_fake 0.007442
[1653/5000][85/535][170598] Loss_D: -0.019416 Loss_G: 0.021040 Loss_D_real: -0.026108 Loss_D_fake -0.006692
[1653/5000][90/535][170599] Loss_D: -0.019001 Loss_G: 0.001583 Loss_D_real: -0.015924 Loss_D_fake 0.003077
[1653/5000][95/535][170600] Loss_D: -0.019488 Loss_G: -0.007230 Loss_D_real: -0.005326 Loss_D_fake 0.014162
[1653/5000][100/535][170601] Loss_D: -0.018555 Loss_G: 0.016827 Loss_D_real: -0.015107 Loss_D_fake 0.003448
[1653/5000][105/535][170602] Loss_D: -0.018786 Loss_G: 0.005439 Loss_D_real: -0.017368 Loss_D_fake 0.001418
[1653/5000][110/535][170603] Loss_D: -0.018834 Loss_G: 0.011676 Loss_D_real: -0.024029 Loss_D_fake -0.005195
[1653/5000][115/535][170604] Loss_D: -0.018459 Loss_G: -0.001240 Loss_D_real: -0.008192 Loss_D_fake 0.010268
[1653/5000][120/535][170605] Loss_D: -0.018954 Loss_G: -0.001082 Loss_D_real: -0.001192 Loss_D_fake 0.017762
[1653/5000][125/535][170606] Loss_D: -0.019012 Loss_G: 0.020031 Loss_D_real: -0.015709 Loss_D_fake 0.003303
[1653/5000][130/535][170607] Loss_D: -0.017557 Loss_G: 0.021018 Loss_D_real: -0.022371 Loss_D_fake -0.004814
[1653/5000][135/535][170608] Loss_D: -0.019159 Loss_G: -0.023355 Loss_D_real: -0.012616 Loss_D_fake 0.006543
[1653/5000][140/535][170609] Loss_D: -0.019844 Loss_G: 0.002067 Loss_D_real: -0.005228 Loss_D_fake 0.014616
[1653/5000][145/535][170610] Loss_D: -0.019133 Loss_G: 0.002250 Loss_D_real: -0.013334 Loss_D_fake 0.005799
[1653/5000][150/535][170611] Loss_D: -0.018670 Loss_G: 0.006264 Loss_D_real: -0.014459 Loss_D_fake 0.004210
[1653/5000][155/535][170612] Loss_D: -0.018791 Loss_G: 0.021632 Loss_D_real: -0.015085 Loss_D_fake 0.003705
[1653/5000][160/535][170613] Loss_D: -0.019246 Loss_G: 0.006399 Loss_D_real: -0.015226 Loss_D_fake 0.004021
[1653/5000][165/535][170614] Loss_D: -0.017204 Loss_G: -0.008040 Loss_D_real: -0.005498 Loss_D_fake 0.011706
[1653/5000][170/535][170615] Loss_D: -0.019620 Loss_G: 0.009908 Loss_D_real: -0.025122 Loss_D_fake -0.005502
[1653/5000][175/535][170616] Loss_D: -0.018142 Loss_G: 0.019500 Loss_D_real: -0.037229 Loss_D_fake -0.019087
[1653/5000][180/535][170617] Loss_D: -0.019211 Loss_G: 0.007415 Loss_D_real: -0.012425 Loss_D_fake 0.006787
[1653/5000][185/535][170618] Loss_D: -0.019109 Loss_G: 0.011840 Loss_D_real: -0.030998 Loss_D_fake -0.011889
[1653/5000][190/535][170619] Loss_D: -0.018899 Loss_G: 0.021894 Loss_D_real: -0.034993 Loss_D_fake -0.016095
[1653/5000][195/535][170620] Loss_D: -0.019286 Loss_G: -0.009983 Loss_D_real: 0.009955 Loss_D_fake 0.029241
[1653/5000][200/535][170621] Loss_D: -0.020074 Loss_G: 0.014942 Loss_D_real: -0.015439 Loss_D_fake 0.004634
[1653/5000][205/535][170622] Loss_D: -0.019342 Loss_G: 0.008706 Loss_D_real: -0.022878 Loss_D_fake -0.003536
[1653/5000][210/535][170623] Loss_D: -0.018868 Loss_G: -0.024103 Loss_D_real: -0.003089 Loss_D_fake 0.015778
[1653/5000][215/535][170624] Loss_D: -0.018893 Loss_G: 0.026417 Loss_D_real: -0.017352 Loss_D_fake 0.001541
[1653/5000][220/535][170625] Loss_D: -0.017994 Loss_G: 0.008155 Loss_D_real: -0.020494 Loss_D_fake -0.002500
[1653/5000][225/535][170626] Loss_D: -0.017671 Loss_G: 0.013279 Loss_D_real: -0.013938 Loss_D_fake 0.003733
[1653/5000][230/535][170627] Loss_D: -0.018292 Loss_G: 0.007383 Loss_D_real: -0.015747 Loss_D_fake 0.002545
[1653/5000][235/535][170628] Loss_D: -0.020912 Loss_G: -0.007524 Loss_D_real: -0.016665 Loss_D_fake 0.004247
[1653/5000][240/535][170629] Loss_D: -0.018571 Loss_G: 0.024925 Loss_D_real: -0.031219 Loss_D_fake -0.012648
[1653/5000][245/535][170630] Loss_D: -0.018006 Loss_G: 0.014890 Loss_D_real: -0.042014 Loss_D_fake -0.024009
[1653/5000][250/535][170631] Loss_D: -0.020259 Loss_G: 0.001593 Loss_D_real: -0.026693 Loss_D_fake -0.006434
[1653/5000][255/535][170632] Loss_D: -0.018990 Loss_G: 0.016698 Loss_D_real: -0.026316 Loss_D_fake -0.007326
[1653/5000][260/535][170633] Loss_D: -0.019978 Loss_G: 0.024483 Loss_D_real: -0.022962 Loss_D_fake -0.002984
[1653/5000][265/535][170634] Loss_D: -0.018904 Loss_G: -0.004416 Loss_D_real: -0.002202 Loss_D_fake 0.016702
[1653/5000][270/535][170635] Loss_D: -0.018398 Loss_G: 0.011261 Loss_D_real: -0.024876 Loss_D_fake -0.006479
[1653/5000][275/535][170636] Loss_D: -0.020163 Loss_G: -0.007825 Loss_D_real: -0.018145 Loss_D_fake 0.002018
[1653/5000][280/535][170637] Loss_D: -0.020129 Loss_G: 0.019982 Loss_D_real: -0.025989 Loss_D_fake -0.005861
[1653/5000][285/535][170638] Loss_D: -0.019154 Loss_G: -0.011715 Loss_D_real: -0.011867 Loss_D_fake 0.007287
[1653/5000][290/535][170639] Loss_D: -0.019798 Loss_G: 0.001253 Loss_D_real: -0.008112 Loss_D_fake 0.011686
[1653/5000][295/535][170640] Loss_D: -0.018154 Loss_G: 0.013683 Loss_D_real: -0.022438 Loss_D_fake -0.004285
[1653/5000][300/535][170641] Loss_D: -0.019218 Loss_G: 0.013742 Loss_D_real: -0.005095 Loss_D_fake 0.014123
[1653/5000][305/535][170642] Loss_D: -0.018691 Loss_G: -0.007700 Loss_D_real: -0.005075 Loss_D_fake 0.013616
[1653/5000][310/535][170643] Loss_D: -0.019249 Loss_G: 0.016263 Loss_D_real: -0.019048 Loss_D_fake 0.000201
[1653/5000][315/535][170644] Loss_D: -0.019514 Loss_G: 0.011293 Loss_D_real: -0.030638 Loss_D_fake -0.011124
[1653/5000][320/535][170645] Loss_D: -0.019237 Loss_G: 0.007585 Loss_D_real: -0.015645 Loss_D_fake 0.003591
[1653/5000][325/535][170646] Loss_D: -0.019238 Loss_G: 0.005723 Loss_D_real: -0.021224 Loss_D_fake -0.001986
[1653/5000][330/535][170647] Loss_D: -0.017317 Loss_G: 0.015631 Loss_D_real: -0.032999 Loss_D_fake -0.015682
[1653/5000][335/535][170648] Loss_D: -0.019277 Loss_G: 0.018471 Loss_D_real: -0.017051 Loss_D_fake 0.002226
[1653/5000][340/535][170649] Loss_D: -0.020372 Loss_G: 0.002462 Loss_D_real: -0.015049 Loss_D_fake 0.005324
[1653/5000][345/535][170650] Loss_D: -0.019134 Loss_G: 0.008183 Loss_D_real: -0.016484 Loss_D_fake 0.002650
[1653/5000][350/535][170651] Loss_D: -0.018780 Loss_G: 0.007636 Loss_D_real: -0.023904 Loss_D_fake -0.005124
[1653/5000][355/535][170652] Loss_D: -0.019361 Loss_G: 0.020068 Loss_D_real: -0.026202 Loss_D_fake -0.006841
[1653/5000][360/535][170653] Loss_D: -0.018794 Loss_G: -0.013498 Loss_D_real: -0.004880 Loss_D_fake 0.013915
[1653/5000][365/535][170654] Loss_D: -0.017975 Loss_G: -0.002782 Loss_D_real: -0.014291 Loss_D_fake 0.003684
[1653/5000][370/535][170655] Loss_D: -0.019608 Loss_G: 0.010629 Loss_D_real: -0.019658 Loss_D_fake -0.000050
[1653/5000][375/535][170656] Loss_D: -0.017902 Loss_G: 0.011231 Loss_D_real: -0.006233 Loss_D_fake 0.011669
[1653/5000][380/535][170657] Loss_D: -0.019278 Loss_G: 0.007120 Loss_D_real: -0.006551 Loss_D_fake 0.012727
[1653/5000][385/535][170658] Loss_D: -0.018237 Loss_G: -0.005863 Loss_D_real: -0.016252 Loss_D_fake 0.001984
[1653/5000][390/535][170659] Loss_D: -0.019396 Loss_G: -0.017749 Loss_D_real: 0.005363 Loss_D_fake 0.024758
[1653/5000][395/535][170660] Loss_D: -0.018900 Loss_G: -0.005255 Loss_D_real: -0.007529 Loss_D_fake 0.011371
[1653/5000][400/535][170661] Loss_D: -0.019394 Loss_G: 0.006618 Loss_D_real: -0.009701 Loss_D_fake 0.009693
[1653/5000][405/535][170662] Loss_D: -0.019502 Loss_G: 0.000510 Loss_D_real: -0.008504 Loss_D_fake 0.010998
[1653/5000][410/535][170663] Loss_D: -0.020083 Loss_G: 0.002958 Loss_D_real: -0.010132 Loss_D_fake 0.009951
[1653/5000][415/535][170664] Loss_D: -0.020294 Loss_G: 0.003243 Loss_D_real: -0.006980 Loss_D_fake 0.013314
[1653/5000][420/535][170665] Loss_D: -0.019287 Loss_G: -0.001843 Loss_D_real: -0.019862 Loss_D_fake -0.000574
[1653/5000][425/535][170666] Loss_D: -0.019579 Loss_G: -0.001747 Loss_D_real: -0.009522 Loss_D_fake 0.010057
[1653/5000][430/535][170667] Loss_D: -0.019495 Loss_G: 0.003347 Loss_D_real: 0.007111 Loss_D_fake 0.026606
[1653/5000][435/535][170668] Loss_D: -0.017972 Loss_G: 0.008658 Loss_D_real: -0.026762 Loss_D_fake -0.008789
[1653/5000][440/535][170669] Loss_D: -0.019274 Loss_G: -0.007337 Loss_D_real: -0.003661 Loss_D_fake 0.015613
[1653/5000][445/535][170670] Loss_D: -0.020221 Loss_G: 0.009316 Loss_D_real: -0.011966 Loss_D_fake 0.008254
[1653/5000][450/535][170671] Loss_D: -0.019322 Loss_G: 0.010128 Loss_D_real: -0.024696 Loss_D_fake -0.005374
[1653/5000][455/535][170672] Loss_D: -0.017443 Loss_G: 0.021470 Loss_D_real: -0.029079 Loss_D_fake -0.011635
[1653/5000][460/535][170673] Loss_D: -0.018766 Loss_G: -0.021627 Loss_D_real: 0.000189 Loss_D_fake 0.018954
[1653/5000][465/535][170674] Loss_D: -0.019039 Loss_G: 0.017236 Loss_D_real: -0.028428 Loss_D_fake -0.009389
[1653/5000][470/535][170675] Loss_D: -0.018046 Loss_G: 0.003729 Loss_D_real: -0.023514 Loss_D_fake -0.005468
[1653/5000][475/535][170676] Loss_D: -0.018709 Loss_G: -0.011748 Loss_D_real: 0.009216 Loss_D_fake 0.027924
[1653/5000][480/535][170677] Loss_D: -0.018900 Loss_G: 0.011124 Loss_D_real: -0.012285 Loss_D_fake 0.006615
[1653/5000][485/535][170678] Loss_D: -0.018606 Loss_G: 0.002454 Loss_D_real: -0.009461 Loss_D_fake 0.009145
[1653/5000][490/535][170679] Loss_D: -0.019272 Loss_G: 0.013473 Loss_D_real: -0.023448 Loss_D_fake -0.004176
[1653/5000][495/535][170680] Loss_D: -0.017740 Loss_G: 0.005802 Loss_D_real: -0.025791 Loss_D_fake -0.008051
[1653/5000][500/535][170681] Loss_D: -0.017799 Loss_G: -0.005037 Loss_D_real: -0.027982 Loss_D_fake -0.010184
[1653/5000][505/535][170682] Loss_D: -0.018541 Loss_G: 0.010265 Loss_D_real: -0.026747 Loss_D_fake -0.008206
[1653/5000][510/535][170683] Loss_D: -0.018802 Loss_G: -0.011010 Loss_D_real: -0.014444 Loss_D_fake 0.004358
[1653/5000][515/535][170684] Loss_D: -0.018339 Loss_G: -0.001368 Loss_D_real: -0.000766 Loss_D_fake 0.017573
[1653/5000][520/535][170685] Loss_D: -0.017171 Loss_G: 0.014113 Loss_D_real: -0.021493 Loss_D_fake -0.004322
[1653/5000][525/535][170686] Loss_D: -0.018390 Loss_G: 0.009698 Loss_D_real: -0.011017 Loss_D_fake 0.007373
[1653/5000][530/535][170687] Loss_D: -0.017481 Loss_G: -0.015236 Loss_D_real: -0.015547 Loss_D_fake 0.001934
[1653/5000][535/535][170688] Loss_D: -0.019041 Loss_G: -0.016910 Loss_D_real: -0.002657 Loss_D_fake 0.016385
[1654/5000][5/535][170689] Loss_D: -0.019655 Loss_G: 0.010523 Loss_D_real: -0.010926 Loss_D_fake 0.008729
[1654/5000][10/535][170690] Loss_D: -0.018241 Loss_G: 0.025939 Loss_D_real: -0.018163 Loss_D_fake 0.000078
[1654/5000][15/535][170691] Loss_D: -0.018769 Loss_G: -0.003353 Loss_D_real: -0.010014 Loss_D_fake 0.008755
[1654/5000][20/535][170692] Loss_D: -0.020108 Loss_G: 0.024077 Loss_D_real: -0.019147 Loss_D_fake 0.000961
[1654/5000][25/535][170693] Loss_D: -0.018369 Loss_G: 0.013653 Loss_D_real: -0.025556 Loss_D_fake -0.007187
[1654/5000][30/535][170694] Loss_D: -0.017644 Loss_G: -0.013168 Loss_D_real: 0.001033 Loss_D_fake 0.018677
[1654/5000][35/535][170695] Loss_D: -0.019094 Loss_G: 0.007734 Loss_D_real: -0.024565 Loss_D_fake -0.005471
[1654/5000][40/535][170696] Loss_D: -0.019785 Loss_G: -0.004035 Loss_D_real: -0.016447 Loss_D_fake 0.003337
[1654/5000][45/535][170697] Loss_D: -0.019468 Loss_G: 0.019516 Loss_D_real: -0.020371 Loss_D_fake -0.000903
[1654/5000][50/535][170698] Loss_D: -0.020533 Loss_G: 0.016864 Loss_D_real: -0.015162 Loss_D_fake 0.005371
[1654/5000][55/535][170699] Loss_D: -0.019559 Loss_G: 0.005724 Loss_D_real: -0.012611 Loss_D_fake 0.006948
[1654/5000][60/535][170700] Loss_D: -0.019920 Loss_G: 0.017998 Loss_D_real: -0.013977 Loss_D_fake 0.005943
[1654/5000][65/535][170701] Loss_D: -0.019257 Loss_G: 0.001924 Loss_D_real: -0.004333 Loss_D_fake 0.014924
[1654/5000][70/535][170702] Loss_D: -0.019609 Loss_G: 0.012908 Loss_D_real: -0.024641 Loss_D_fake -0.005032
[1654/5000][75/535][170703] Loss_D: -0.018076 Loss_G: 0.010780 Loss_D_real: -0.007199 Loss_D_fake 0.010877
[1654/5000][80/535][170704] Loss_D: -0.018089 Loss_G: 0.017044 Loss_D_real: -0.030649 Loss_D_fake -0.012560
[1654/5000][85/535][170705] Loss_D: -0.019687 Loss_G: 0.010111 Loss_D_real: -0.004230 Loss_D_fake 0.015457
[1654/5000][90/535][170706] Loss_D: -0.021005 Loss_G: 0.019312 Loss_D_real: -0.015443 Loss_D_fake 0.005562
[1654/5000][95/535][170707] Loss_D: -0.019129 Loss_G: 0.019394 Loss_D_real: -0.023414 Loss_D_fake -0.004285
[1654/5000][100/535][170708] Loss_D: -0.018940 Loss_G: -0.005361 Loss_D_real: -0.022469 Loss_D_fake -0.003529
[1654/5000][105/535][170709] Loss_D: -0.018713 Loss_G: 0.000984 Loss_D_real: -0.023923 Loss_D_fake -0.005210
[1654/5000][110/535][170710] Loss_D: -0.018626 Loss_G: 0.004968 Loss_D_real: 0.005289 Loss_D_fake 0.023915
[1654/5000][115/535][170711] Loss_D: -0.019454 Loss_G: -0.003113 Loss_D_real: -0.011326 Loss_D_fake 0.008128
[1654/5000][120/535][170712] Loss_D: -0.018181 Loss_G: 0.022100 Loss_D_real: -0.022198 Loss_D_fake -0.004017
[1654/5000][125/535][170713] Loss_D: -0.018893 Loss_G: 0.015990 Loss_D_real: -0.032879 Loss_D_fake -0.013987
[1654/5000][130/535][170714] Loss_D: -0.021086 Loss_G: 0.000793 Loss_D_real: -0.030029 Loss_D_fake -0.008942
[1654/5000][135/535][170715] Loss_D: -0.020488 Loss_G: 0.005371 Loss_D_real: -0.015432 Loss_D_fake 0.005056
[1654/5000][140/535][170716] Loss_D: -0.019889 Loss_G: 0.003843 Loss_D_real: -0.014879 Loss_D_fake 0.005010
[1654/5000][145/535][170717] Loss_D: -0.018899 Loss_G: 0.005181 Loss_D_real: -0.018508 Loss_D_fake 0.000391
[1654/5000][150/535][170718] Loss_D: -0.019292 Loss_G: 0.011921 Loss_D_real: -0.004995 Loss_D_fake 0.014297
[1654/5000][155/535][170719] Loss_D: -0.018763 Loss_G: 0.001254 Loss_D_real: -0.013853 Loss_D_fake 0.004911
[1654/5000][160/535][170720] Loss_D: -0.019666 Loss_G: 0.003461 Loss_D_real: -0.006980 Loss_D_fake 0.012685
[1654/5000][165/535][170721] Loss_D: -0.018974 Loss_G: 0.018183 Loss_D_real: -0.011570 Loss_D_fake 0.007404
[1654/5000][170/535][170722] Loss_D: -0.019452 Loss_G: 0.010352 Loss_D_real: -0.025410 Loss_D_fake -0.005958
[1654/5000][175/535][170723] Loss_D: -0.018808 Loss_G: 0.023675 Loss_D_real: -0.023729 Loss_D_fake -0.004920
[1654/5000][180/535][170724] Loss_D: -0.019333 Loss_G: 0.019800 Loss_D_real: -0.023338 Loss_D_fake -0.004004
[1654/5000][185/535][170725] Loss_D: -0.019828 Loss_G: -0.000808 Loss_D_real: -0.016404 Loss_D_fake 0.003425
[1654/5000][190/535][170726] Loss_D: -0.018143 Loss_G: 0.017218 Loss_D_real: -0.014736 Loss_D_fake 0.003408
[1654/5000][195/535][170727] Loss_D: -0.018878 Loss_G: 0.008175 Loss_D_real: -0.022102 Loss_D_fake -0.003224
[1654/5000][200/535][170728] Loss_D: -0.017229 Loss_G: 0.026261 Loss_D_real: -0.028296 Loss_D_fake -0.011067
[1654/5000][205/535][170729] Loss_D: -0.017997 Loss_G: 0.000974 Loss_D_real: -0.019801 Loss_D_fake -0.001804
[1654/5000][210/535][170730] Loss_D: -0.018659 Loss_G: 0.002898 Loss_D_real: -0.004646 Loss_D_fake 0.014013
[1654/5000][215/535][170731] Loss_D: -0.019023 Loss_G: -0.012653 Loss_D_real: -0.005057 Loss_D_fake 0.013965
[1654/5000][220/535][170732] Loss_D: -0.017478 Loss_G: -0.015874 Loss_D_real: 0.003212 Loss_D_fake 0.020690
[1654/5000][225/535][170733] Loss_D: -0.018379 Loss_G: 0.009212 Loss_D_real: -0.019680 Loss_D_fake -0.001301
[1654/5000][230/535][170734] Loss_D: -0.019890 Loss_G: 0.010147 Loss_D_real: -0.005153 Loss_D_fake 0.014738
[1654/5000][235/535][170735] Loss_D: -0.018635 Loss_G: 0.025217 Loss_D_real: -0.033338 Loss_D_fake -0.014704
[1654/5000][240/535][170736] Loss_D: -0.019358 Loss_G: -0.004719 Loss_D_real: -0.014266 Loss_D_fake 0.005092
[1654/5000][245/535][170737] Loss_D: -0.019906 Loss_G: 0.017449 Loss_D_real: -0.019345 Loss_D_fake 0.000561
[1654/5000][250/535][170738] Loss_D: -0.018423 Loss_G: -0.005820 Loss_D_real: -0.007272 Loss_D_fake 0.011152
[1654/5000][255/535][170739] Loss_D: -0.019578 Loss_G: -0.000085 Loss_D_real: -0.013299 Loss_D_fake 0.006278
[1654/5000][260/535][170740] Loss_D: -0.019948 Loss_G: 0.014766 Loss_D_real: -0.031323 Loss_D_fake -0.011375
[1654/5000][265/535][170741] Loss_D: -0.019885 Loss_G: 0.012525 Loss_D_real: -0.011060 Loss_D_fake 0.008825
[1654/5000][270/535][170742] Loss_D: -0.018492 Loss_G: -0.009885 Loss_D_real: -0.004969 Loss_D_fake 0.013523
[1654/5000][275/535][170743] Loss_D: -0.019361 Loss_G: 0.014618 Loss_D_real: -0.017455 Loss_D_fake 0.001906
[1654/5000][280/535][170744] Loss_D: -0.018378 Loss_G: -0.002447 Loss_D_real: -0.008385 Loss_D_fake 0.009994
[1654/5000][285/535][170745] Loss_D: -0.018238 Loss_G: 0.025921 Loss_D_real: -0.024520 Loss_D_fake -0.006282
[1654/5000][290/535][170746] Loss_D: -0.020081 Loss_G: -0.015700 Loss_D_real: -0.017081 Loss_D_fake 0.003000
[1654/5000][295/535][170747] Loss_D: -0.018684 Loss_G: -0.006519 Loss_D_real: 0.008757 Loss_D_fake 0.027441
[1654/5000][300/535][170748] Loss_D: -0.017351 Loss_G: 0.018999 Loss_D_real: -0.025102 Loss_D_fake -0.007751
[1654/5000][305/535][170749] Loss_D: -0.018093 Loss_G: 0.011465 Loss_D_real: -0.026837 Loss_D_fake -0.008744
[1654/5000][310/535][170750] Loss_D: -0.019470 Loss_G: -0.003562 Loss_D_real: -0.009343 Loss_D_fake 0.010127
[1654/5000][315/535][170751] Loss_D: -0.019386 Loss_G: -0.002453 Loss_D_real: -0.011834 Loss_D_fake 0.007552
[1654/5000][320/535][170752] Loss_D: -0.020552 Loss_G: 0.019129 Loss_D_real: -0.015452 Loss_D_fake 0.005100
[1654/5000][325/535][170753] Loss_D: -0.017748 Loss_G: -0.003461 Loss_D_real: -0.011009 Loss_D_fake 0.006740
[1654/5000][330/535][170754] Loss_D: -0.018878 Loss_G: -0.010088 Loss_D_real: -0.012823 Loss_D_fake 0.006055
[1654/5000][335/535][170755] Loss_D: -0.019118 Loss_G: 0.000550 Loss_D_real: -0.004537 Loss_D_fake 0.014581
[1654/5000][340/535][170756] Loss_D: -0.018774 Loss_G: 0.008731 Loss_D_real: -0.001887 Loss_D_fake 0.016887
[1654/5000][345/535][170757] Loss_D: -0.017466 Loss_G: 0.017242 Loss_D_real: -0.026079 Loss_D_fake -0.008614
[1654/5000][350/535][170758] Loss_D: -0.020371 Loss_G: 0.017701 Loss_D_real: -0.014946 Loss_D_fake 0.005425
[1654/5000][355/535][170759] Loss_D: -0.019030 Loss_G: 0.001974 Loss_D_real: -0.012325 Loss_D_fake 0.006705
[1654/5000][360/535][170760] Loss_D: -0.019245 Loss_G: -0.006166 Loss_D_real: 0.002924 Loss_D_fake 0.022169
[1654/5000][365/535][170761] Loss_D: -0.019135 Loss_G: -0.018448 Loss_D_real: -0.000052 Loss_D_fake 0.019084
[1654/5000][370/535][170762] Loss_D: -0.018467 Loss_G: 0.006101 Loss_D_real: -0.019295 Loss_D_fake -0.000829
[1654/5000][375/535][170763] Loss_D: -0.020290 Loss_G: 0.022323 Loss_D_real: -0.010068 Loss_D_fake 0.010222
[1654/5000][380/535][170764] Loss_D: -0.019273 Loss_G: 0.015986 Loss_D_real: -0.027909 Loss_D_fake -0.008636
[1654/5000][385/535][170765] Loss_D: -0.019666 Loss_G: 0.013269 Loss_D_real: -0.007362 Loss_D_fake 0.012304
[1654/5000][390/535][170766] Loss_D: -0.018683 Loss_G: -0.008197 Loss_D_real: -0.012508 Loss_D_fake 0.006175
[1654/5000][395/535][170767] Loss_D: -0.018672 Loss_G: 0.003039 Loss_D_real: -0.006797 Loss_D_fake 0.011876
[1654/5000][400/535][170768] Loss_D: -0.018527 Loss_G: -0.002748 Loss_D_real: -0.009386 Loss_D_fake 0.009141
[1654/5000][405/535][170769] Loss_D: -0.018825 Loss_G: 0.031262 Loss_D_real: -0.021422 Loss_D_fake -0.002597
[1654/5000][410/535][170770] Loss_D: -0.019377 Loss_G: 0.011857 Loss_D_real: -0.012459 Loss_D_fake 0.006918
[1654/5000][415/535][170771] Loss_D: -0.018735 Loss_G: -0.003703 Loss_D_real: -0.008284 Loss_D_fake 0.010451
[1654/5000][420/535][170772] Loss_D: -0.018236 Loss_G: 0.022536 Loss_D_real: -0.029337 Loss_D_fake -0.011101
[1654/5000][425/535][170773] Loss_D: -0.018907 Loss_G: -0.001660 Loss_D_real: -0.007837 Loss_D_fake 0.011070
[1654/5000][430/535][170774] Loss_D: -0.018663 Loss_G: 0.003543 Loss_D_real: -0.006401 Loss_D_fake 0.012262
[1654/5000][435/535][170775] Loss_D: -0.018365 Loss_G: -0.011690 Loss_D_real: 0.008026 Loss_D_fake 0.026391
[1654/5000][440/535][170776] Loss_D: -0.018618 Loss_G: 0.015613 Loss_D_real: -0.016256 Loss_D_fake 0.002362
[1654/5000][445/535][170777] Loss_D: -0.019776 Loss_G: 0.005288 Loss_D_real: -0.017498 Loss_D_fake 0.002278
[1654/5000][450/535][170778] Loss_D: -0.019748 Loss_G: 0.017332 Loss_D_real: -0.018425 Loss_D_fake 0.001323
[1654/5000][455/535][170779] Loss_D: -0.019202 Loss_G: 0.013239 Loss_D_real: -0.008774 Loss_D_fake 0.010427
[1654/5000][460/535][170780] Loss_D: -0.020103 Loss_G: -0.007073 Loss_D_real: -0.013278 Loss_D_fake 0.006825
[1654/5000][465/535][170781] Loss_D: -0.018627 Loss_G: -0.004300 Loss_D_real: -0.010464 Loss_D_fake 0.008163
[1654/5000][470/535][170782] Loss_D: -0.018444 Loss_G: 0.016314 Loss_D_real: -0.012027 Loss_D_fake 0.006416
[1654/5000][475/535][170783] Loss_D: -0.020141 Loss_G: 0.015190 Loss_D_real: -0.013288 Loss_D_fake 0.006853
[1654/5000][480/535][170784] Loss_D: -0.019929 Loss_G: 0.004332 Loss_D_real: 0.006750 Loss_D_fake 0.026680
[1654/5000][485/535][170785] Loss_D: -0.019731 Loss_G: 0.002452 Loss_D_real: -0.019067 Loss_D_fake 0.000663
[1654/5000][490/535][170786] Loss_D: -0.020406 Loss_G: 0.006106 Loss_D_real: -0.018419 Loss_D_fake 0.001987
[1654/5000][495/535][170787] Loss_D: -0.019989 Loss_G: 0.016610 Loss_D_real: -0.012792 Loss_D_fake 0.007196
[1654/5000][500/535][170788] Loss_D: -0.018549 Loss_G: 0.012858 Loss_D_real: -0.025748 Loss_D_fake -0.007200
[1654/5000][505/535][170789] Loss_D: -0.019762 Loss_G: -0.012180 Loss_D_real: -0.008533 Loss_D_fake 0.011229
[1654/5000][510/535][170790] Loss_D: -0.019085 Loss_G: -0.008052 Loss_D_real: -0.009778 Loss_D_fake 0.009307
[1654/5000][515/535][170791] Loss_D: -0.019899 Loss_G: 0.020113 Loss_D_real: -0.021632 Loss_D_fake -0.001733
[1654/5000][520/535][170792] Loss_D: -0.019504 Loss_G: 0.007129 Loss_D_real: -0.010533 Loss_D_fake 0.008971
[1654/5000][525/535][170793] Loss_D: -0.019929 Loss_G: 0.009117 Loss_D_real: -0.018081 Loss_D_fake 0.001848
[1654/5000][530/535][170794] Loss_D: -0.018605 Loss_G: -0.007234 Loss_D_real: 0.001736 Loss_D_fake 0.020342
[1654/5000][535/535][170795] Loss_D: -0.020325 Loss_G: 0.026538 Loss_D_real: -0.019657 Loss_D_fake 0.000669
[1655/5000][5/535][170796] Loss_D: -0.018100 Loss_G: 0.015571 Loss_D_real: -0.029298 Loss_D_fake -0.011199
[1655/5000][10/535][170797] Loss_D: -0.019627 Loss_G: 0.009994 Loss_D_real: -0.028497 Loss_D_fake -0.008870
[1655/5000][15/535][170798] Loss_D: -0.019691 Loss_G: 0.010140 Loss_D_real: -0.013738 Loss_D_fake 0.005953
[1655/5000][20/535][170799] Loss_D: -0.018801 Loss_G: 0.000790 Loss_D_real: -0.006804 Loss_D_fake 0.011997
[1655/5000][25/535][170800] Loss_D: -0.018273 Loss_G: 0.002520 Loss_D_real: -0.017902 Loss_D_fake 0.000371
[1655/5000][30/535][170801] Loss_D: -0.019625 Loss_G: 0.019811 Loss_D_real: -0.030856 Loss_D_fake -0.011231
[1655/5000][35/535][170802] Loss_D: -0.019257 Loss_G: -0.000342 Loss_D_real: -0.019059 Loss_D_fake 0.000197
[1655/5000][40/535][170803] Loss_D: -0.021226 Loss_G: -0.008689 Loss_D_real: -0.018931 Loss_D_fake 0.002295
[1655/5000][45/535][170804] Loss_D: -0.019916 Loss_G: -0.004076 Loss_D_real: -0.011405 Loss_D_fake 0.008511
[1655/5000][50/535][170805] Loss_D: -0.021077 Loss_G: 0.017848 Loss_D_real: -0.014132 Loss_D_fake 0.006945
[1655/5000][55/535][170806] Loss_D: -0.017936 Loss_G: 0.005826 Loss_D_real: -0.021530 Loss_D_fake -0.003594
[1655/5000][60/535][170807] Loss_D: -0.020231 Loss_G: 0.021043 Loss_D_real: -0.023940 Loss_D_fake -0.003710
[1655/5000][65/535][170808] Loss_D: -0.017816 Loss_G: -0.004024 Loss_D_real: -0.007719 Loss_D_fake 0.010096
[1655/5000][70/535][170809] Loss_D: -0.019741 Loss_G: -0.002774 Loss_D_real: -0.031661 Loss_D_fake -0.011921
[1655/5000][75/535][170810] Loss_D: -0.020667 Loss_G: 0.002176 Loss_D_real: -0.006504 Loss_D_fake 0.014163
[1655/5000][80/535][170811] Loss_D: -0.019855 Loss_G: 0.023349 Loss_D_real: -0.028659 Loss_D_fake -0.008804
[1655/5000][85/535][170812] Loss_D: -0.019440 Loss_G: 0.007912 Loss_D_real: -0.013565 Loss_D_fake 0.005874
[1655/5000][90/535][170813] Loss_D: -0.019448 Loss_G: 0.008118 Loss_D_real: -0.018838 Loss_D_fake 0.000610
[1655/5000][95/535][170814] Loss_D: -0.020060 Loss_G: 0.004929 Loss_D_real: -0.003973 Loss_D_fake 0.016087
[1655/5000][100/535][170815] Loss_D: -0.019741 Loss_G: 0.004236 Loss_D_real: -0.005291 Loss_D_fake 0.014450
[1655/5000][105/535][170816] Loss_D: -0.018689 Loss_G: 0.000375 Loss_D_real: -0.008623 Loss_D_fake 0.010066
[1655/5000][110/535][170817] Loss_D: -0.019282 Loss_G: 0.017950 Loss_D_real: -0.020282 Loss_D_fake -0.001000
[1655/5000][115/535][170818] Loss_D: -0.018406 Loss_G: 0.002728 Loss_D_real: -0.027641 Loss_D_fake -0.009235
[1655/5000][120/535][170819] Loss_D: -0.020540 Loss_G: 0.009814 Loss_D_real: -0.017914 Loss_D_fake 0.002626
[1655/5000][125/535][170820] Loss_D: -0.018402 Loss_G: 0.014643 Loss_D_real: -0.017786 Loss_D_fake 0.000616
[1655/5000][130/535][170821] Loss_D: -0.020154 Loss_G: -0.000986 Loss_D_real: -0.023780 Loss_D_fake -0.003625
[1655/5000][135/535][170822] Loss_D: -0.017552 Loss_G: 0.009105 Loss_D_real: -0.015767 Loss_D_fake 0.001785
[1655/5000][140/535][170823] Loss_D: -0.019433 Loss_G: 0.012466 Loss_D_real: -0.019114 Loss_D_fake 0.000319
[1655/5000][145/535][170824] Loss_D: -0.019049 Loss_G: 0.008468 Loss_D_real: -0.019390 Loss_D_fake -0.000341
[1655/5000][150/535][170825] Loss_D: -0.019694 Loss_G: 0.002397 Loss_D_real: -0.004633 Loss_D_fake 0.015060
[1655/5000][155/535][170826] Loss_D: -0.017923 Loss_G: -0.003936 Loss_D_real: -0.012493 Loss_D_fake 0.005431
[1655/5000][160/535][170827] Loss_D: -0.018150 Loss_G: 0.005171 Loss_D_real: -0.016157 Loss_D_fake 0.001993
[1655/5000][165/535][170828] Loss_D: -0.019163 Loss_G: 0.007514 Loss_D_real: -0.020613 Loss_D_fake -0.001450
[1655/5000][170/535][170829] Loss_D: -0.018906 Loss_G: 0.011448 Loss_D_real: -0.013706 Loss_D_fake 0.005200
[1655/5000][175/535][170830] Loss_D: -0.019525 Loss_G: 0.017146 Loss_D_real: -0.024785 Loss_D_fake -0.005260
[1655/5000][180/535][170831] Loss_D: -0.018727 Loss_G: 0.013738 Loss_D_real: -0.017010 Loss_D_fake 0.001717
[1655/5000][185/535][170832] Loss_D: -0.018925 Loss_G: 0.027046 Loss_D_real: -0.021042 Loss_D_fake -0.002117
[1655/5000][190/535][170833] Loss_D: -0.017564 Loss_G: 0.001033 Loss_D_real: -0.008104 Loss_D_fake 0.009460
[1655/5000][195/535][170834] Loss_D: -0.017488 Loss_G: -0.016755 Loss_D_real: -0.000139 Loss_D_fake 0.017349
[1655/5000][200/535][170835] Loss_D: -0.019297 Loss_G: 0.011849 Loss_D_real: -0.013598 Loss_D_fake 0.005699
[1655/5000][205/535][170836] Loss_D: -0.018729 Loss_G: 0.000757 Loss_D_real: -0.011918 Loss_D_fake 0.006811
[1655/5000][210/535][170837] Loss_D: -0.019340 Loss_G: 0.028397 Loss_D_real: -0.028206 Loss_D_fake -0.008866
[1655/5000][215/535][170838] Loss_D: -0.017149 Loss_G: 0.018721 Loss_D_real: -0.030463 Loss_D_fake -0.013314
[1655/5000][220/535][170839] Loss_D: -0.018449 Loss_G: -0.001137 Loss_D_real: -0.004428 Loss_D_fake 0.014021
[1655/5000][225/535][170840] Loss_D: -0.018304 Loss_G: -0.005282 Loss_D_real: -0.008583 Loss_D_fake 0.009721
[1655/5000][230/535][170841] Loss_D: -0.017360 Loss_G: 0.023872 Loss_D_real: -0.032320 Loss_D_fake -0.014961
[1655/5000][235/535][170842] Loss_D: -0.018908 Loss_G: 0.024373 Loss_D_real: -0.026816 Loss_D_fake -0.007908
[1655/5000][240/535][170843] Loss_D: -0.018311 Loss_G: 0.006613 Loss_D_real: -0.026211 Loss_D_fake -0.007900
[1655/5000][245/535][170844] Loss_D: -0.020089 Loss_G: 0.004193 Loss_D_real: -0.019688 Loss_D_fake 0.000401
[1655/5000][250/535][170845] Loss_D: -0.018170 Loss_G: -0.006067 Loss_D_real: -0.013973 Loss_D_fake 0.004197
[1655/5000][255/535][170846] Loss_D: -0.019208 Loss_G: 0.011215 Loss_D_real: -0.022693 Loss_D_fake -0.003485
[1655/5000][260/535][170847] Loss_D: -0.019163 Loss_G: -0.007253 Loss_D_real: -0.012749 Loss_D_fake 0.006415
[1655/5000][265/535][170848] Loss_D: -0.018163 Loss_G: -0.010979 Loss_D_real: -0.011475 Loss_D_fake 0.006688
[1655/5000][270/535][170849] Loss_D: -0.019204 Loss_G: 0.012931 Loss_D_real: -0.023306 Loss_D_fake -0.004102
[1655/5000][275/535][170850] Loss_D: -0.019927 Loss_G: 0.002802 Loss_D_real: -0.009653 Loss_D_fake 0.010275
[1655/5000][280/535][170851] Loss_D: -0.018199 Loss_G: -0.000545 Loss_D_real: -0.015246 Loss_D_fake 0.002953
[1655/5000][285/535][170852] Loss_D: -0.017801 Loss_G: -0.014213 Loss_D_real: -0.003740 Loss_D_fake 0.014062
[1655/5000][290/535][170853] Loss_D: -0.019100 Loss_G: 0.015419 Loss_D_real: -0.010383 Loss_D_fake 0.008716
[1655/5000][295/535][170854] Loss_D: -0.019662 Loss_G: -0.004149 Loss_D_real: -0.010655 Loss_D_fake 0.009007
[1655/5000][300/535][170855] Loss_D: -0.019060 Loss_G: 0.019266 Loss_D_real: -0.025838 Loss_D_fake -0.006778
[1655/5000][305/535][170856] Loss_D: -0.021303 Loss_G: 0.012999 Loss_D_real: -0.001121 Loss_D_fake 0.020182
[1655/5000][310/535][170857] Loss_D: -0.019711 Loss_G: 0.003818 Loss_D_real: -0.030802 Loss_D_fake -0.011091
[1655/5000][315/535][170858] Loss_D: -0.019237 Loss_G: -0.011134 Loss_D_real: -0.005623 Loss_D_fake 0.013614
[1655/5000][320/535][170859] Loss_D: -0.019187 Loss_G: -0.017159 Loss_D_real: -0.000563 Loss_D_fake 0.018624
[1655/5000][325/535][170860] Loss_D: -0.019257 Loss_G: 0.022781 Loss_D_real: -0.021966 Loss_D_fake -0.002709
[1655/5000][330/535][170861] Loss_D: -0.018993 Loss_G: -0.001391 Loss_D_real: -0.020351 Loss_D_fake -0.001357
[1655/5000][335/535][170862] Loss_D: -0.020236 Loss_G: 0.009654 Loss_D_real: -0.016292 Loss_D_fake 0.003944
[1655/5000][340/535][170863] Loss_D: -0.020087 Loss_G: -0.001239 Loss_D_real: -0.005318 Loss_D_fake 0.014769
[1655/5000][345/535][170864] Loss_D: -0.018261 Loss_G: 0.004775 Loss_D_real: -0.018193 Loss_D_fake 0.000068
[1655/5000][350/535][170865] Loss_D: -0.019373 Loss_G: 0.012062 Loss_D_real: -0.013076 Loss_D_fake 0.006297
[1655/5000][355/535][170866] Loss_D: -0.019214 Loss_G: 0.002797 Loss_D_real: -0.017449 Loss_D_fake 0.001765
[1655/5000][360/535][170867] Loss_D: -0.019575 Loss_G: -0.004995 Loss_D_real: -0.014621 Loss_D_fake 0.004954
[1655/5000][365/535][170868] Loss_D: -0.019651 Loss_G: 0.013265 Loss_D_real: -0.010896 Loss_D_fake 0.008755
[1655/5000][370/535][170869] Loss_D: -0.019558 Loss_G: 0.006725 Loss_D_real: -0.013648 Loss_D_fake 0.005909
[1655/5000][375/535][170870] Loss_D: -0.019429 Loss_G: 0.008204 Loss_D_real: -0.020351 Loss_D_fake -0.000922
[1655/5000][380/535][170871] Loss_D: -0.019768 Loss_G: 0.030126 Loss_D_real: -0.022661 Loss_D_fake -0.002892
[1655/5000][385/535][170872] Loss_D: -0.018840 Loss_G: -0.013814 Loss_D_real: 0.008514 Loss_D_fake 0.027355
[1655/5000][390/535][170873] Loss_D: -0.019027 Loss_G: 0.018331 Loss_D_real: -0.014882 Loss_D_fake 0.004146
[1655/5000][395/535][170874] Loss_D: -0.018762 Loss_G: 0.009877 Loss_D_real: -0.021657 Loss_D_fake -0.002895
[1655/5000][400/535][170875] Loss_D: -0.019694 Loss_G: 0.018072 Loss_D_real: -0.018813 Loss_D_fake 0.000882
[1655/5000][405/535][170876] Loss_D: -0.018554 Loss_G: 0.018607 Loss_D_real: -0.030371 Loss_D_fake -0.011817
[1655/5000][410/535][170877] Loss_D: -0.019083 Loss_G: -0.009811 Loss_D_real: -0.010037 Loss_D_fake 0.009046
[1655/5000][415/535][170878] Loss_D: -0.017705 Loss_G: 0.035955 Loss_D_real: -0.025979 Loss_D_fake -0.008274
[1655/5000][420/535][170879] Loss_D: -0.016045 Loss_G: 0.018404 Loss_D_real: -0.023521 Loss_D_fake -0.007476
[1655/5000][425/535][170880] Loss_D: -0.018579 Loss_G: 0.007950 Loss_D_real: -0.017812 Loss_D_fake 0.000767
[1655/5000][430/535][170881] Loss_D: -0.019127 Loss_G: -0.001059 Loss_D_real: -0.016209 Loss_D_fake 0.002918
[1655/5000][435/535][170882] Loss_D: -0.019161 Loss_G: -0.001064 Loss_D_real: -0.016010 Loss_D_fake 0.003150
[1655/5000][440/535][170883] Loss_D: -0.019631 Loss_G: 0.000608 Loss_D_real: -0.006805 Loss_D_fake 0.012826
[1655/5000][445/535][170884] Loss_D: -0.019166 Loss_G: 0.013551 Loss_D_real: -0.028568 Loss_D_fake -0.009402
[1655/5000][450/535][170885] Loss_D: -0.018795 Loss_G: -0.003613 Loss_D_real: -0.011903 Loss_D_fake 0.006893
[1655/5000][455/535][170886] Loss_D: -0.018141 Loss_G: 0.008126 Loss_D_real: -0.023272 Loss_D_fake -0.005131
[1655/5000][460/535][170887] Loss_D: -0.018509 Loss_G: 0.000412 Loss_D_real: -0.001609 Loss_D_fake 0.016900
[1655/5000][465/535][170888] Loss_D: -0.017863 Loss_G: 0.013822 Loss_D_real: -0.029951 Loss_D_fake -0.012088
[1655/5000][470/535][170889] Loss_D: -0.019874 Loss_G: -0.007290 Loss_D_real: -0.012413 Loss_D_fake 0.007461
[1655/5000][475/535][170890] Loss_D: -0.018450 Loss_G: -0.014552 Loss_D_real: 0.001626 Loss_D_fake 0.020076
[1655/5000][480/535][170891] Loss_D: -0.018755 Loss_G: 0.023438 Loss_D_real: -0.028023 Loss_D_fake -0.009268
[1655/5000][485/535][170892] Loss_D: -0.018752 Loss_G: 0.018989 Loss_D_real: -0.024979 Loss_D_fake -0.006227
[1655/5000][490/535][170893] Loss_D: -0.018108 Loss_G: 0.009817 Loss_D_real: -0.017273 Loss_D_fake 0.000836
[1655/5000][495/535][170894] Loss_D: -0.018423 Loss_G: 0.031669 Loss_D_real: -0.026707 Loss_D_fake -0.008284
[1655/5000][500/535][170895] Loss_D: -0.019380 Loss_G: 0.007506 Loss_D_real: -0.016489 Loss_D_fake 0.002891
[1655/5000][505/535][170896] Loss_D: -0.018879 Loss_G: -0.000675 Loss_D_real: -0.014594 Loss_D_fake 0.004285
[1655/5000][510/535][170897] Loss_D: -0.017970 Loss_G: 0.004926 Loss_D_real: -0.021940 Loss_D_fake -0.003970
[1655/5000][515/535][170898] Loss_D: -0.019479 Loss_G: 0.011653 Loss_D_real: -0.009976 Loss_D_fake 0.009503
[1655/5000][520/535][170899] Loss_D: -0.019435 Loss_G: 0.012408 Loss_D_real: -0.020490 Loss_D_fake -0.001055
[1655/5000][525/535][170900] Loss_D: -0.019171 Loss_G: 0.010026 Loss_D_real: -0.021101 Loss_D_fake -0.001930
[1655/5000][530/535][170901] Loss_D: -0.018774 Loss_G: -0.006085 Loss_D_real: -0.018991 Loss_D_fake -0.000217
[1655/5000][535/535][170902] Loss_D: -0.021152 Loss_G: 0.014297 Loss_D_real: -0.008872 Loss_D_fake 0.012280
[1656/5000][5/535][170903] Loss_D: -0.017622 Loss_G: 0.027220 Loss_D_real: -0.033632 Loss_D_fake -0.016010
[1656/5000][10/535][170904] Loss_D: -0.018220 Loss_G: -0.004345 Loss_D_real: -0.018320 Loss_D_fake -0.000101
[1656/5000][15/535][170905] Loss_D: -0.017951 Loss_G: -0.009249 Loss_D_real: -0.006078 Loss_D_fake 0.011873
[1656/5000][20/535][170906] Loss_D: -0.017993 Loss_G: 0.006228 Loss_D_real: -0.005301 Loss_D_fake 0.012692
[1656/5000][25/535][170907] Loss_D: -0.018025 Loss_G: 0.013392 Loss_D_real: -0.024203 Loss_D_fake -0.006178
[1656/5000][30/535][170908] Loss_D: -0.016749 Loss_G: 0.011216 Loss_D_real: -0.019893 Loss_D_fake -0.003144
[1656/5000][35/535][170909] Loss_D: -0.019347 Loss_G: 0.002889 Loss_D_real: -0.011277 Loss_D_fake 0.008071
[1656/5000][40/535][170910] Loss_D: -0.018011 Loss_G: 0.025108 Loss_D_real: -0.020031 Loss_D_fake -0.002020
[1656/5000][45/535][170911] Loss_D: -0.019145 Loss_G: 0.007543 Loss_D_real: -0.020505 Loss_D_fake -0.001360
[1656/5000][50/535][170912] Loss_D: -0.020261 Loss_G: 0.008256 Loss_D_real: -0.026804 Loss_D_fake -0.006543
[1656/5000][55/535][170913] Loss_D: -0.019531 Loss_G: 0.020147 Loss_D_real: -0.024560 Loss_D_fake -0.005030
[1656/5000][60/535][170914] Loss_D: -0.019284 Loss_G: 0.013443 Loss_D_real: -0.013330 Loss_D_fake 0.005954
[1656/5000][65/535][170915] Loss_D: -0.019566 Loss_G: 0.012106 Loss_D_real: -0.018005 Loss_D_fake 0.001561
[1656/5000][70/535][170916] Loss_D: -0.019095 Loss_G: 0.002747 Loss_D_real: -0.025283 Loss_D_fake -0.006187
[1656/5000][75/535][170917] Loss_D: -0.018347 Loss_G: 0.008615 Loss_D_real: -0.012972 Loss_D_fake 0.005375
[1656/5000][80/535][170918] Loss_D: -0.019928 Loss_G: -0.001051 Loss_D_real: -0.014468 Loss_D_fake 0.005460
[1656/5000][85/535][170919] Loss_D: -0.017821 Loss_G: -0.006186 Loss_D_real: 0.009583 Loss_D_fake 0.027404
[1656/5000][90/535][170920] Loss_D: -0.020247 Loss_G: 0.018690 Loss_D_real: -0.019624 Loss_D_fake 0.000623
[1656/5000][95/535][170921] Loss_D: -0.019566 Loss_G: 0.015183 Loss_D_real: -0.021852 Loss_D_fake -0.002286
[1656/5000][100/535][170922] Loss_D: -0.019799 Loss_G: -0.007432 Loss_D_real: -0.008885 Loss_D_fake 0.010914
[1656/5000][105/535][170923] Loss_D: -0.019428 Loss_G: -0.008216 Loss_D_real: -0.016031 Loss_D_fake 0.003397
[1656/5000][110/535][170924] Loss_D: -0.017765 Loss_G: 0.023696 Loss_D_real: -0.029993 Loss_D_fake -0.012227
[1656/5000][115/535][170925] Loss_D: -0.019018 Loss_G: 0.004479 Loss_D_real: -0.013885 Loss_D_fake 0.005134
[1656/5000][120/535][170926] Loss_D: -0.021496 Loss_G: 0.009625 Loss_D_real: -0.004284 Loss_D_fake 0.017212
[1656/5000][125/535][170927] Loss_D: -0.019396 Loss_G: -0.002325 Loss_D_real: -0.010542 Loss_D_fake 0.008854
[1656/5000][130/535][170928] Loss_D: -0.019693 Loss_G: -0.000905 Loss_D_real: -0.002194 Loss_D_fake 0.017500
[1656/5000][135/535][170929] Loss_D: -0.019258 Loss_G: -0.002490 Loss_D_real: -0.019896 Loss_D_fake -0.000637
[1656/5000][140/535][170930] Loss_D: -0.018187 Loss_G: 0.029082 Loss_D_real: -0.020312 Loss_D_fake -0.002126
[1656/5000][145/535][170931] Loss_D: -0.018264 Loss_G: -0.003353 Loss_D_real: -0.005892 Loss_D_fake 0.012372
[1656/5000][150/535][170932] Loss_D: -0.020324 Loss_G: 0.012544 Loss_D_real: -0.018587 Loss_D_fake 0.001738
[1656/5000][155/535][170933] Loss_D: -0.017900 Loss_G: 0.020551 Loss_D_real: -0.028603 Loss_D_fake -0.010703
[1656/5000][160/535][170934] Loss_D: -0.018223 Loss_G: -0.013326 Loss_D_real: -0.002936 Loss_D_fake 0.015287
[1656/5000][165/535][170935] Loss_D: -0.018896 Loss_G: -0.004233 Loss_D_real: -0.009412 Loss_D_fake 0.009484
[1656/5000][170/535][170936] Loss_D: -0.017292 Loss_G: 0.023367 Loss_D_real: -0.031733 Loss_D_fake -0.014442
[1656/5000][175/535][170937] Loss_D: -0.018427 Loss_G: 0.012541 Loss_D_real: -0.020033 Loss_D_fake -0.001607
[1656/5000][180/535][170938] Loss_D: -0.019059 Loss_G: -0.011021 Loss_D_real: -0.006324 Loss_D_fake 0.012736
[1656/5000][185/535][170939] Loss_D: -0.021425 Loss_G: 0.032508 Loss_D_real: -0.011623 Loss_D_fake 0.009801
[1656/5000][190/535][170940] Loss_D: -0.018397 Loss_G: 0.001726 Loss_D_real: -0.021807 Loss_D_fake -0.003411
[1656/5000][195/535][170941] Loss_D: -0.019258 Loss_G: 0.008035 Loss_D_real: -0.009508 Loss_D_fake 0.009750
[1656/5000][200/535][170942] Loss_D: -0.019248 Loss_G: -0.002507 Loss_D_real: -0.010605 Loss_D_fake 0.008643
[1656/5000][205/535][170943] Loss_D: -0.018391 Loss_G: 0.008702 Loss_D_real: -0.020092 Loss_D_fake -0.001700
[1656/5000][210/535][170944] Loss_D: -0.018713 Loss_G: 0.006211 Loss_D_real: -0.026936 Loss_D_fake -0.008223
[1656/5000][215/535][170945] Loss_D: -0.018533 Loss_G: 0.016011 Loss_D_real: -0.021385 Loss_D_fake -0.002851
[1656/5000][220/535][170946] Loss_D: -0.018897 Loss_G: 0.006153 Loss_D_real: -0.020052 Loss_D_fake -0.001155
[1656/5000][225/535][170947] Loss_D: -0.019878 Loss_G: 0.012278 Loss_D_real: -0.007011 Loss_D_fake 0.012867
[1656/5000][230/535][170948] Loss_D: -0.019023 Loss_G: -0.014238 Loss_D_real: -0.020369 Loss_D_fake -0.001346
[1656/5000][235/535][170949] Loss_D: -0.018639 Loss_G: 0.014378 Loss_D_real: -0.021915 Loss_D_fake -0.003276
[1656/5000][240/535][170950] Loss_D: -0.019272 Loss_G: 0.020945 Loss_D_real: -0.023126 Loss_D_fake -0.003855
[1656/5000][245/535][170951] Loss_D: -0.019430 Loss_G: -0.003931 Loss_D_real: -0.017149 Loss_D_fake 0.002281
[1656/5000][250/535][170952] Loss_D: -0.019301 Loss_G: 0.005846 Loss_D_real: -0.027026 Loss_D_fake -0.007725
[1656/5000][255/535][170953] Loss_D: -0.019379 Loss_G: -0.010677 Loss_D_real: -0.012640 Loss_D_fake 0.006739
[1656/5000][260/535][170954] Loss_D: -0.019851 Loss_G: 0.009262 Loss_D_real: -0.020207 Loss_D_fake -0.000357
[1656/5000][265/535][170955] Loss_D: -0.017097 Loss_G: 0.024452 Loss_D_real: -0.027270 Loss_D_fake -0.010172
[1656/5000][270/535][170956] Loss_D: -0.020757 Loss_G: 0.006238 Loss_D_real: 0.000392 Loss_D_fake 0.021149
[1656/5000][275/535][170957] Loss_D: -0.019603 Loss_G: 0.006252 Loss_D_real: -0.018074 Loss_D_fake 0.001528
[1656/5000][280/535][170958] Loss_D: -0.019708 Loss_G: -0.006049 Loss_D_real: -0.008309 Loss_D_fake 0.011399
[1656/5000][285/535][170959] Loss_D: -0.018162 Loss_G: 0.031170 Loss_D_real: -0.029740 Loss_D_fake -0.011578
[1656/5000][290/535][170960] Loss_D: -0.020203 Loss_G: 0.013953 Loss_D_real: -0.008227 Loss_D_fake 0.011976
[1656/5000][295/535][170961] Loss_D: -0.020413 Loss_G: 0.026724 Loss_D_real: -0.027149 Loss_D_fake -0.006736
[1656/5000][300/535][170962] Loss_D: -0.017477 Loss_G: -0.001125 Loss_D_real: -0.005028 Loss_D_fake 0.012449
[1656/5000][305/535][170963] Loss_D: -0.018635 Loss_G: 0.020774 Loss_D_real: -0.013994 Loss_D_fake 0.004641
[1656/5000][310/535][170964] Loss_D: -0.019875 Loss_G: 0.008966 Loss_D_real: -0.027672 Loss_D_fake -0.007798
[1656/5000][315/535][170965] Loss_D: -0.019771 Loss_G: -0.000461 Loss_D_real: -0.020082 Loss_D_fake -0.000311
[1656/5000][320/535][170966] Loss_D: -0.019787 Loss_G: 0.017959 Loss_D_real: -0.008058 Loss_D_fake 0.011729
[1656/5000][325/535][170967] Loss_D: -0.019162 Loss_G: 0.002717 Loss_D_real: -0.006031 Loss_D_fake 0.013132
[1656/5000][330/535][170968] Loss_D: -0.018307 Loss_G: 0.020689 Loss_D_real: -0.028043 Loss_D_fake -0.009735
[1656/5000][335/535][170969] Loss_D: -0.018754 Loss_G: 0.005486 Loss_D_real: -0.012370 Loss_D_fake 0.006384
[1656/5000][340/535][170970] Loss_D: -0.017822 Loss_G: 0.010161 Loss_D_real: -0.025031 Loss_D_fake -0.007209
[1656/5000][345/535][170971] Loss_D: -0.018330 Loss_G: -0.010848 Loss_D_real: -0.008453 Loss_D_fake 0.009877
[1656/5000][350/535][170972] Loss_D: -0.018746 Loss_G: -0.015955 Loss_D_real: -0.002943 Loss_D_fake 0.015803
[1656/5000][355/535][170973] Loss_D: -0.019475 Loss_G: 0.007128 Loss_D_real: -0.019662 Loss_D_fake -0.000187
[1656/5000][360/535][170974] Loss_D: -0.018526 Loss_G: 0.020382 Loss_D_real: -0.018687 Loss_D_fake -0.000161
[1656/5000][365/535][170975] Loss_D: -0.018624 Loss_G: -0.002883 Loss_D_real: -0.006094 Loss_D_fake 0.012530
[1656/5000][370/535][170976] Loss_D: -0.018284 Loss_G: 0.016027 Loss_D_real: -0.014605 Loss_D_fake 0.003679
[1656/5000][375/535][170977] Loss_D: -0.019000 Loss_G: 0.015203 Loss_D_real: -0.029817 Loss_D_fake -0.010817
[1656/5000][380/535][170978] Loss_D: -0.019420 Loss_G: -0.001969 Loss_D_real: -0.006493 Loss_D_fake 0.012926
[1656/5000][385/535][170979] Loss_D: -0.018725 Loss_G: -0.009283 Loss_D_real: -0.010795 Loss_D_fake 0.007929
[1656/5000][390/535][170980] Loss_D: -0.018674 Loss_G: 0.002464 Loss_D_real: -0.013624 Loss_D_fake 0.005050
[1656/5000][395/535][170981] Loss_D: -0.018771 Loss_G: 0.004353 Loss_D_real: -0.007487 Loss_D_fake 0.011284
[1656/5000][400/535][170982] Loss_D: -0.019523 Loss_G: 0.001594 Loss_D_real: -0.013277 Loss_D_fake 0.006246
[1656/5000][405/535][170983] Loss_D: -0.018900 Loss_G: -0.001910 Loss_D_real: -0.015461 Loss_D_fake 0.003438
[1656/5000][410/535][170984] Loss_D: -0.020588 Loss_G: -0.014295 Loss_D_real: -0.010104 Loss_D_fake 0.010485
[1656/5000][415/535][170985] Loss_D: -0.018578 Loss_G: 0.007422 Loss_D_real: -0.023653 Loss_D_fake -0.005074
[1656/5000][420/535][170986] Loss_D: -0.018760 Loss_G: 0.002729 Loss_D_real: -0.006534 Loss_D_fake 0.012226
[1656/5000][425/535][170987] Loss_D: -0.019028 Loss_G: -0.015193 Loss_D_real: 0.001261 Loss_D_fake 0.020289
[1656/5000][430/535][170988] Loss_D: -0.019304 Loss_G: 0.022686 Loss_D_real: -0.023526 Loss_D_fake -0.004222
[1656/5000][435/535][170989] Loss_D: -0.018824 Loss_G: 0.024496 Loss_D_real: -0.018620 Loss_D_fake 0.000204
[1656/5000][440/535][170990] Loss_D: -0.020041 Loss_G: 0.000264 Loss_D_real: -0.021267 Loss_D_fake -0.001226
[1656/5000][445/535][170991] Loss_D: -0.020558 Loss_G: 0.017675 Loss_D_real: -0.003913 Loss_D_fake 0.016645
[1656/5000][450/535][170992] Loss_D: -0.019575 Loss_G: 0.020378 Loss_D_real: -0.032471 Loss_D_fake -0.012897
[1656/5000][455/535][170993] Loss_D: -0.019276 Loss_G: -0.002215 Loss_D_real: -0.015197 Loss_D_fake 0.004079
[1656/5000][460/535][170994] Loss_D: -0.019112 Loss_G: 0.019658 Loss_D_real: -0.026688 Loss_D_fake -0.007576
[1656/5000][465/535][170995] Loss_D: -0.018571 Loss_G: 0.008041 Loss_D_real: -0.017621 Loss_D_fake 0.000950
[1656/5000][470/535][170996] Loss_D: -0.018793 Loss_G: -0.004262 Loss_D_real: -0.027195 Loss_D_fake -0.008403
[1656/5000][475/535][170997] Loss_D: -0.017918 Loss_G: 0.010199 Loss_D_real: -0.027253 Loss_D_fake -0.009335
[1656/5000][480/535][170998] Loss_D: -0.019886 Loss_G: 0.005266 Loss_D_real: -0.006024 Loss_D_fake 0.013863
[1656/5000][485/535][170999] Loss_D: -0.018944 Loss_G: 0.010799 Loss_D_real: -0.030113 Loss_D_fake -0.011169
[1656/5000][490/535][171000] Loss_D: -0.019008 Loss_G: -0.005949 Loss_D_real: -0.010717 Loss_D_fake 0.008291
[1656/5000][535/535][171001] Loss_D: -0.017594 Loss_G: 0.018178 Loss_D_real: -0.029038 Loss_D_fake -0.011443
[1657/5000][5/535][171002] Loss_D: -0.019360 Loss_G: 0.025104 Loss_D_real: -0.019704 Loss_D_fake -0.000344
[1657/5000][10/535][171003] Loss_D: -0.018935 Loss_G: 0.002274 Loss_D_real: -0.029665 Loss_D_fake -0.010730
[1657/5000][15/535][171004] Loss_D: -0.018718 Loss_G: 0.008603 Loss_D_real: -0.028040 Loss_D_fake -0.009322
[1657/5000][20/535][171005] Loss_D: -0.018561 Loss_G: 0.004483 Loss_D_real: -0.018378 Loss_D_fake 0.000183
[1657/5000][25/535][171006] Loss_D: -0.018386 Loss_G: -0.003620 Loss_D_real: -0.016288 Loss_D_fake 0.002098
[1657/5000][30/535][171007] Loss_D: -0.019004 Loss_G: -0.001689 Loss_D_real: -0.015569 Loss_D_fake 0.003435
[1657/5000][35/535][171008] Loss_D: -0.018992 Loss_G: 0.023657 Loss_D_real: -0.022528 Loss_D_fake -0.003536
[1657/5000][40/535][171009] Loss_D: -0.022072 Loss_G: 0.012351 Loss_D_real: -0.024610 Loss_D_fake -0.002538
[1657/5000][45/535][171010] Loss_D: -0.019194 Loss_G: 0.023446 Loss_D_real: -0.026598 Loss_D_fake -0.007404
[1657/5000][50/535][171011] Loss_D: -0.020127 Loss_G: 0.002431 Loss_D_real: -0.015071 Loss_D_fake 0.005055
[1657/5000][55/535][171012] Loss_D: -0.019027 Loss_G: -0.001321 Loss_D_real: 0.002060 Loss_D_fake 0.021087
[1657/5000][60/535][171013] Loss_D: -0.017788 Loss_G: 0.013546 Loss_D_real: -0.024396 Loss_D_fake -0.006608
[1657/5000][65/535][171014] Loss_D: -0.017710 Loss_G: 0.005130 Loss_D_real: -0.014855 Loss_D_fake 0.002855
[1657/5000][70/535][171015] Loss_D: -0.018513 Loss_G: 0.005218 Loss_D_real: -0.013212 Loss_D_fake 0.005301
[1657/5000][75/535][171016] Loss_D: -0.019894 Loss_G: 0.000168 Loss_D_real: -0.011083 Loss_D_fake 0.008811
[1657/5000][80/535][171017] Loss_D: -0.017659 Loss_G: 0.009433 Loss_D_real: -0.028695 Loss_D_fake -0.011036
[1657/5000][85/535][171018] Loss_D: -0.018056 Loss_G: -0.025521 Loss_D_real: 0.000452 Loss_D_fake 0.018507
[1657/5000][90/535][171019] Loss_D: -0.019041 Loss_G: -0.010255 Loss_D_real: -0.003195 Loss_D_fake 0.015846
[1657/5000][95/535][171020] Loss_D: -0.017600 Loss_G: -0.001938 Loss_D_real: -0.013890 Loss_D_fake 0.003710
[1657/5000][100/535][171021] Loss_D: -0.017219 Loss_G: 0.016431 Loss_D_real: -0.030843 Loss_D_fake -0.013624
[1657/5000][105/535][171022] Loss_D: -0.018483 Loss_G: 0.008643 Loss_D_real: -0.016413 Loss_D_fake 0.002070
[1657/5000][110/535][171023] Loss_D: -0.018021 Loss_G: 0.020084 Loss_D_real: -0.019734 Loss_D_fake -0.001712
[1657/5000][115/535][171024] Loss_D: -0.018555 Loss_G: 0.026076 Loss_D_real: -0.032766 Loss_D_fake -0.014212
[1657/5000][120/535][171025] Loss_D: -0.018185 Loss_G: 0.016474 Loss_D_real: -0.022966 Loss_D_fake -0.004780
[1657/5000][125/535][171026] Loss_D: -0.017438 Loss_G: 0.029197 Loss_D_real: -0.015349 Loss_D_fake 0.002089
[1657/5000][130/535][171027] Loss_D: -0.019407 Loss_G: -0.002269 Loss_D_real: -0.020283 Loss_D_fake -0.000876
[1657/5000][135/535][171028] Loss_D: -0.018511 Loss_G: 0.017405 Loss_D_real: -0.024842 Loss_D_fake -0.006331
[1657/5000][140/535][171029] Loss_D: -0.017827 Loss_G: 0.011740 Loss_D_real: -0.026719 Loss_D_fake -0.008892
[1657/5000][145/535][171030] Loss_D: -0.018024 Loss_G: 0.016701 Loss_D_real: -0.026862 Loss_D_fake -0.008839
[1657/5000][150/535][171031] Loss_D: -0.018670 Loss_G: 0.003559 Loss_D_real: -0.017962 Loss_D_fake 0.000707
[1657/5000][155/535][171032] Loss_D: -0.018561 Loss_G: -0.001745 Loss_D_real: -0.011689 Loss_D_fake 0.006872
[1657/5000][160/535][171033] Loss_D: -0.020061 Loss_G: -0.002456 Loss_D_real: -0.014896 Loss_D_fake 0.005164
[1657/5000][165/535][171034] Loss_D: -0.018645 Loss_G: 0.006149 Loss_D_real: -0.005423 Loss_D_fake 0.013222
[1657/5000][170/535][171035] Loss_D: -0.020397 Loss_G: 0.009628 Loss_D_real: -0.008297 Loss_D_fake 0.012099
[1657/5000][175/535][171036] Loss_D: -0.018100 Loss_G: 0.004668 Loss_D_real: -0.023315 Loss_D_fake -0.005214
[1657/5000][180/535][171037] Loss_D: -0.019188 Loss_G: 0.007192 Loss_D_real: -0.018339 Loss_D_fake 0.000849
[1657/5000][185/535][171038] Loss_D: -0.019247 Loss_G: -0.000682 Loss_D_real: -0.005210 Loss_D_fake 0.014037
[1657/5000][190/535][171039] Loss_D: -0.017984 Loss_G: 0.026890 Loss_D_real: -0.023308 Loss_D_fake -0.005325
[1657/5000][195/535][171040] Loss_D: -0.017410 Loss_G: 0.018163 Loss_D_real: -0.018584 Loss_D_fake -0.001174
[1657/5000][200/535][171041] Loss_D: -0.016421 Loss_G: 0.017489 Loss_D_real: -0.028340 Loss_D_fake -0.011919
[1657/5000][205/535][171042] Loss_D: -0.019173 Loss_G: 0.016984 Loss_D_real: -0.019157 Loss_D_fake 0.000017
[1657/5000][210/535][171043] Loss_D: -0.020560 Loss_G: -0.008420 Loss_D_real: -0.002624 Loss_D_fake 0.017937
[1657/5000][215/535][171044] Loss_D: -0.019804 Loss_G: -0.003283 Loss_D_real: -0.019867 Loss_D_fake -0.000063
[1657/5000][220/535][171045] Loss_D: -0.019505 Loss_G: 0.007817 Loss_D_real: -0.015450 Loss_D_fake 0.004054
[1657/5000][225/535][171046] Loss_D: -0.017237 Loss_G: 0.025657 Loss_D_real: -0.031738 Loss_D_fake -0.014501
[1657/5000][230/535][171047] Loss_D: -0.019338 Loss_G: 0.003150 Loss_D_real: -0.007325 Loss_D_fake 0.012013
[1657/5000][235/535][171048] Loss_D: -0.018305 Loss_G: 0.011098 Loss_D_real: -0.009690 Loss_D_fake 0.008615
[1657/5000][240/535][171049] Loss_D: -0.018198 Loss_G: 0.011722 Loss_D_real: -0.012396 Loss_D_fake 0.005802
[1657/5000][245/535][171050] Loss_D: -0.019113 Loss_G: 0.013734 Loss_D_real: -0.029123 Loss_D_fake -0.010010
[1657/5000][250/535][171051] Loss_D: -0.018666 Loss_G: -0.006323 Loss_D_real: -0.007563 Loss_D_fake 0.011103
[1657/5000][255/535][171052] Loss_D: -0.019705 Loss_G: -0.010309 Loss_D_real: -0.003018 Loss_D_fake 0.016687
[1657/5000][260/535][171053] Loss_D: -0.018226 Loss_G: 0.003784 Loss_D_real: -0.000717 Loss_D_fake 0.017508
[1657/5000][265/535][171054] Loss_D: -0.019108 Loss_G: -0.005029 Loss_D_real: -0.010981 Loss_D_fake 0.008127
[1657/5000][270/535][171055] Loss_D: -0.018986 Loss_G: 0.002604 Loss_D_real: -0.010090 Loss_D_fake 0.008896
[1657/5000][275/535][171056] Loss_D: -0.019111 Loss_G: 0.000559 Loss_D_real: -0.012577 Loss_D_fake 0.006534
[1657/5000][280/535][171057] Loss_D: -0.018657 Loss_G: -0.005919 Loss_D_real: -0.007180 Loss_D_fake 0.011477
[1657/5000][285/535][171058] Loss_D: -0.019466 Loss_G: 0.011726 Loss_D_real: -0.024389 Loss_D_fake -0.004922
[1657/5000][290/535][171059] Loss_D: -0.019196 Loss_G: 0.001080 Loss_D_real: -0.023403 Loss_D_fake -0.004207
[1657/5000][295/535][171060] Loss_D: -0.019017 Loss_G: 0.010146 Loss_D_real: -0.031702 Loss_D_fake -0.012685
[1657/5000][300/535][171061] Loss_D: -0.019386 Loss_G: 0.023224 Loss_D_real: -0.025170 Loss_D_fake -0.005784
[1657/5000][305/535][171062] Loss_D: -0.018074 Loss_G: -0.014827 Loss_D_real: -0.001507 Loss_D_fake 0.016567
[1657/5000][310/535][171063] Loss_D: -0.018900 Loss_G: 0.017290 Loss_D_real: -0.026525 Loss_D_fake -0.007625
[1657/5000][315/535][171064] Loss_D: -0.018791 Loss_G: 0.018150 Loss_D_real: -0.012031 Loss_D_fake 0.006759
[1657/5000][320/535][171065] Loss_D: -0.019013 Loss_G: 0.017464 Loss_D_real: -0.017376 Loss_D_fake 0.001636
[1657/5000][325/535][171066] Loss_D: -0.018430 Loss_G: -0.012669 Loss_D_real: 0.000876 Loss_D_fake 0.019306
[1657/5000][330/535][171067] Loss_D: -0.018848 Loss_G: 0.015503 Loss_D_real: -0.016480 Loss_D_fake 0.002368
[1657/5000][335/535][171068] Loss_D: -0.018003 Loss_G: -0.002251 Loss_D_real: -0.019696 Loss_D_fake -0.001693
[1657/5000][340/535][171069] Loss_D: -0.018845 Loss_G: 0.004092 Loss_D_real: -0.020680 Loss_D_fake -0.001835
[1657/5000][345/535][171070] Loss_D: -0.020447 Loss_G: 0.006513 Loss_D_real: -0.016291 Loss_D_fake 0.004156
[1657/5000][350/535][171071] Loss_D: -0.020300 Loss_G: 0.015150 Loss_D_real: -0.017568 Loss_D_fake 0.002733
[1657/5000][355/535][171072] Loss_D: -0.019024 Loss_G: 0.007763 Loss_D_real: -0.017570 Loss_D_fake 0.001454
[1657/5000][360/535][171073] Loss_D: -0.018928 Loss_G: -0.000106 Loss_D_real: -0.014542 Loss_D_fake 0.004385
[1657/5000][365/535][171074] Loss_D: -0.018005 Loss_G: 0.027772 Loss_D_real: -0.032121 Loss_D_fake -0.014117
[1657/5000][370/535][171075] Loss_D: -0.018866 Loss_G: 0.007252 Loss_D_real: -0.023790 Loss_D_fake -0.004923
[1657/5000][375/535][171076] Loss_D: -0.018492 Loss_G: 0.026116 Loss_D_real: -0.020135 Loss_D_fake -0.001644
[1657/5000][380/535][171077] Loss_D: -0.020137 Loss_G: 0.009232 Loss_D_real: -0.012496 Loss_D_fake 0.007642
[1657/5000][385/535][171078] Loss_D: -0.018173 Loss_G: 0.008472 Loss_D_real: -0.017240 Loss_D_fake 0.000933
[1657/5000][390/535][171079] Loss_D: -0.020618 Loss_G: 0.009664 Loss_D_real: -0.013309 Loss_D_fake 0.007309
[1657/5000][395/535][171080] Loss_D: -0.020191 Loss_G: 0.017012 Loss_D_real: -0.026095 Loss_D_fake -0.005904
[1657/5000][400/535][171081] Loss_D: -0.019123 Loss_G: -0.007236 Loss_D_real: -0.000142 Loss_D_fake 0.018980
[1657/5000][405/535][171082] Loss_D: -0.019699 Loss_G: -0.010306 Loss_D_real: -0.019542 Loss_D_fake 0.000157
[1657/5000][410/535][171083] Loss_D: -0.018173 Loss_G: 0.012194 Loss_D_real: -0.014370 Loss_D_fake 0.003803
[1657/5000][415/535][171084] Loss_D: -0.019440 Loss_G: 0.011052 Loss_D_real: -0.022230 Loss_D_fake -0.002790
[1657/5000][420/535][171085] Loss_D: -0.016082 Loss_G: -0.014068 Loss_D_real: -0.009690 Loss_D_fake 0.006392
[1657/5000][425/535][171086] Loss_D: -0.020710 Loss_G: -0.006289 Loss_D_real: -0.001389 Loss_D_fake 0.019321
[1657/5000][430/535][171087] Loss_D: -0.019934 Loss_G: 0.015904 Loss_D_real: -0.004940 Loss_D_fake 0.014994
[1657/5000][435/535][171088] Loss_D: -0.019810 Loss_G: 0.009704 Loss_D_real: -0.012953 Loss_D_fake 0.006857
[1657/5000][440/535][171089] Loss_D: -0.019752 Loss_G: -0.010057 Loss_D_real: -0.005011 Loss_D_fake 0.014741
[1657/5000][445/535][171090] Loss_D: -0.018357 Loss_G: 0.001624 Loss_D_real: -0.016275 Loss_D_fake 0.002083
[1657/5000][450/535][171091] Loss_D: -0.019458 Loss_G: 0.002754 Loss_D_real: -0.013700 Loss_D_fake 0.005758
[1657/5000][455/535][171092] Loss_D: -0.019377 Loss_G: 0.002058 Loss_D_real: -0.014270 Loss_D_fake 0.005107
[1657/5000][460/535][171093] Loss_D: -0.018490 Loss_G: 0.017624 Loss_D_real: -0.019626 Loss_D_fake -0.001135
[1657/5000][465/535][171094] Loss_D: -0.018731 Loss_G: 0.009669 Loss_D_real: -0.012280 Loss_D_fake 0.006451
[1657/5000][470/535][171095] Loss_D: -0.018421 Loss_G: 0.007848 Loss_D_real: -0.006681 Loss_D_fake 0.011740
[1657/5000][475/535][171096] Loss_D: -0.018490 Loss_G: 0.010527 Loss_D_real: -0.028953 Loss_D_fake -0.010462
[1657/5000][480/535][171097] Loss_D: -0.018844 Loss_G: 0.019389 Loss_D_real: -0.012913 Loss_D_fake 0.005931
[1657/5000][485/535][171098] Loss_D: -0.017910 Loss_G: -0.005715 Loss_D_real: -0.002146 Loss_D_fake 0.015765
[1657/5000][490/535][171099] Loss_D: -0.018612 Loss_G: -0.002226 Loss_D_real: -0.011317 Loss_D_fake 0.007295
[1657/5000][495/535][171100] Loss_D: -0.018540 Loss_G: -0.000724 Loss_D_real: -0.014886 Loss_D_fake 0.003653
[1657/5000][500/535][171101] Loss_D: -0.019251 Loss_G: 0.008854 Loss_D_real: -0.012948 Loss_D_fake 0.006303
[1657/5000][505/535][171102] Loss_D: -0.018413 Loss_G: 0.001769 Loss_D_real: -0.008525 Loss_D_fake 0.009888
[1657/5000][510/535][171103] Loss_D: -0.018135 Loss_G: 0.005171 Loss_D_real: -0.008133 Loss_D_fake 0.010002
[1657/5000][515/535][171104] Loss_D: -0.018916 Loss_G: 0.012064 Loss_D_real: -0.035134 Loss_D_fake -0.016218
[1657/5000][520/535][171105] Loss_D: -0.019773 Loss_G: 0.003544 Loss_D_real: -0.005474 Loss_D_fake 0.014300
[1657/5000][525/535][171106] Loss_D: -0.018177 Loss_G: -0.000455 Loss_D_real: -0.008907 Loss_D_fake 0.009269
[1657/5000][530/535][171107] Loss_D: -0.017819 Loss_G: 0.006263 Loss_D_real: -0.013753 Loss_D_fake 0.004066
[1657/5000][535/535][171108] Loss_D: -0.016241 Loss_G: 0.003240 Loss_D_real: -0.018427 Loss_D_fake -0.002187
[1658/5000][5/535][171109] Loss_D: -0.019745 Loss_G: 0.015992 Loss_D_real: -0.013221 Loss_D_fake 0.006524
[1658/5000][10/535][171110] Loss_D: -0.019385 Loss_G: -0.007306 Loss_D_real: -0.016314 Loss_D_fake 0.003071
[1658/5000][15/535][171111] Loss_D: -0.020830 Loss_G: 0.003449 Loss_D_real: -0.027146 Loss_D_fake -0.006316
[1658/5000][20/535][171112] Loss_D: -0.019619 Loss_G: 0.013994 Loss_D_real: -0.016439 Loss_D_fake 0.003179
[1658/5000][25/535][171113] Loss_D: -0.020388 Loss_G: 0.011784 Loss_D_real: -0.018197 Loss_D_fake 0.002191
[1658/5000][30/535][171114] Loss_D: -0.020218 Loss_G: -0.000998 Loss_D_real: -0.003771 Loss_D_fake 0.016446
[1658/5000][35/535][171115] Loss_D: -0.019505 Loss_G: -0.013582 Loss_D_real: 0.000001 Loss_D_fake 0.019507
[1658/5000][40/535][171116] Loss_D: -0.021364 Loss_G: -0.001545 Loss_D_real: -0.005007 Loss_D_fake 0.016356
[1658/5000][45/535][171117] Loss_D: -0.018369 Loss_G: 0.019430 Loss_D_real: -0.030352 Loss_D_fake -0.011983
[1658/5000][50/535][171118] Loss_D: -0.018605 Loss_G: 0.012593 Loss_D_real: -0.020707 Loss_D_fake -0.002102
[1658/5000][55/535][171119] Loss_D: -0.018604 Loss_G: 0.018484 Loss_D_real: -0.017997 Loss_D_fake 0.000606
[1658/5000][60/535][171120] Loss_D: -0.020158 Loss_G: -0.002143 Loss_D_real: 0.001484 Loss_D_fake 0.021641
[1658/5000][65/535][171121] Loss_D: -0.018127 Loss_G: 0.031630 Loss_D_real: -0.023471 Loss_D_fake -0.005344
[1658/5000][70/535][171122] Loss_D: -0.019019 Loss_G: 0.012108 Loss_D_real: -0.034960 Loss_D_fake -0.015941
[1658/5000][75/535][171123] Loss_D: -0.018311 Loss_G: -0.008824 Loss_D_real: 0.008220 Loss_D_fake 0.026530
[1658/5000][80/535][171124] Loss_D: -0.017281 Loss_G: 0.031367 Loss_D_real: -0.038767 Loss_D_fake -0.021486
[1658/5000][85/535][171125] Loss_D: -0.019255 Loss_G: -0.001958 Loss_D_real: -0.011345 Loss_D_fake 0.007910
[1658/5000][90/535][171126] Loss_D: -0.018082 Loss_G: -0.002088 Loss_D_real: -0.022519 Loss_D_fake -0.004437
[1658/5000][95/535][171127] Loss_D: -0.018886 Loss_G: 0.002110 Loss_D_real: -0.023152 Loss_D_fake -0.004266
[1658/5000][100/535][171128] Loss_D: -0.019017 Loss_G: -0.002321 Loss_D_real: -0.008194 Loss_D_fake 0.010822
[1658/5000][105/535][171129] Loss_D: -0.019184 Loss_G: 0.018202 Loss_D_real: -0.019494 Loss_D_fake -0.000310
[1658/5000][110/535][171130] Loss_D: -0.019237 Loss_G: -0.002527 Loss_D_real: -0.007931 Loss_D_fake 0.011306
[1658/5000][115/535][171131] Loss_D: -0.019309 Loss_G: 0.023469 Loss_D_real: -0.010425 Loss_D_fake 0.008884
[1658/5000][120/535][171132] Loss_D: -0.020342 Loss_G: 0.016728 Loss_D_real: -0.025821 Loss_D_fake -0.005480
[1658/5000][125/535][171133] Loss_D: -0.017195 Loss_G: 0.031486 Loss_D_real: -0.037330 Loss_D_fake -0.020135
[1658/5000][130/535][171134] Loss_D: -0.018371 Loss_G: 0.000811 Loss_D_real: -0.004432 Loss_D_fake 0.013939
[1658/5000][135/535][171135] Loss_D: -0.017979 Loss_G: -0.008156 Loss_D_real: -0.001807 Loss_D_fake 0.016173
[1658/5000][140/535][171136] Loss_D: -0.018974 Loss_G: 0.007285 Loss_D_real: -0.017835 Loss_D_fake 0.001139
[1658/5000][145/535][171137] Loss_D: -0.017305 Loss_G: 0.015862 Loss_D_real: -0.025091 Loss_D_fake -0.007786
[1658/5000][150/535][171138] Loss_D: -0.017573 Loss_G: 0.010778 Loss_D_real: -0.018622 Loss_D_fake -0.001049
[1658/5000][155/535][171139] Loss_D: -0.018107 Loss_G: 0.014990 Loss_D_real: -0.028441 Loss_D_fake -0.010334
[1658/5000][160/535][171140] Loss_D: -0.018560 Loss_G: 0.013397 Loss_D_real: -0.024257 Loss_D_fake -0.005697
[1658/5000][165/535][171141] Loss_D: -0.018247 Loss_G: 0.020785 Loss_D_real: -0.017653 Loss_D_fake 0.000594
[1658/5000][170/535][171142] Loss_D: -0.017589 Loss_G: 0.009128 Loss_D_real: -0.018085 Loss_D_fake -0.000496
[1658/5000][175/535][171143] Loss_D: -0.019147 Loss_G: 0.020410 Loss_D_real: -0.026670 Loss_D_fake -0.007523
[1658/5000][180/535][171144] Loss_D: -0.020674 Loss_G: 0.006681 Loss_D_real: -0.011129 Loss_D_fake 0.009544
[1658/5000][185/535][171145] Loss_D: -0.019061 Loss_G: 0.015495 Loss_D_real: -0.025044 Loss_D_fake -0.005983
[1658/5000][190/535][171146] Loss_D: -0.018990 Loss_G: 0.002329 Loss_D_real: -0.009442 Loss_D_fake 0.009548
[1658/5000][195/535][171147] Loss_D: -0.018913 Loss_G: -0.023588 Loss_D_real: 0.001271 Loss_D_fake 0.020184
[1658/5000][200/535][171148] Loss_D: -0.017760 Loss_G: 0.017339 Loss_D_real: -0.016461 Loss_D_fake 0.001299
[1658/5000][205/535][171149] Loss_D: -0.019531 Loss_G: 0.018796 Loss_D_real: -0.011561 Loss_D_fake 0.007970
[1658/5000][210/535][171150] Loss_D: -0.019399 Loss_G: 0.004735 Loss_D_real: -0.004892 Loss_D_fake 0.014507
[1658/5000][215/535][171151] Loss_D: -0.019621 Loss_G: 0.007546 Loss_D_real: -0.017678 Loss_D_fake 0.001943
[1658/5000][220/535][171152] Loss_D: -0.020686 Loss_G: 0.005005 Loss_D_real: -0.024416 Loss_D_fake -0.003729
[1658/5000][225/535][171153] Loss_D: -0.020985 Loss_G: 0.006857 Loss_D_real: -0.004831 Loss_D_fake 0.016154
[1658/5000][230/535][171154] Loss_D: -0.018670 Loss_G: -0.003940 Loss_D_real: -0.008785 Loss_D_fake 0.009885
[1658/5000][235/535][171155] Loss_D: -0.018898 Loss_G: 0.019560 Loss_D_real: -0.018748 Loss_D_fake 0.000151
[1658/5000][240/535][171156] Loss_D: -0.018651 Loss_G: 0.000093 Loss_D_real: -0.012094 Loss_D_fake 0.006556
[1658/5000][245/535][171157] Loss_D: -0.018849 Loss_G: -0.004472 Loss_D_real: -0.011928 Loss_D_fake 0.006921
[1658/5000][250/535][171158] Loss_D: -0.019064 Loss_G: 0.004754 Loss_D_real: -0.012706 Loss_D_fake 0.006358
[1658/5000][255/535][171159] Loss_D: -0.019545 Loss_G: 0.012877 Loss_D_real: -0.015923 Loss_D_fake 0.003622
[1658/5000][260/535][171160] Loss_D: -0.019841 Loss_G: -0.000121 Loss_D_real: -0.008741 Loss_D_fake 0.011100
[1658/5000][265/535][171161] Loss_D: -0.019467 Loss_G: 0.017410 Loss_D_real: -0.019325 Loss_D_fake 0.000142
[1658/5000][270/535][171162] Loss_D: -0.020101 Loss_G: 0.012909 Loss_D_real: -0.021805 Loss_D_fake -0.001704
[1658/5000][275/535][171163] Loss_D: -0.018687 Loss_G: 0.022062 Loss_D_real: -0.029056 Loss_D_fake -0.010370
[1658/5000][280/535][171164] Loss_D: -0.019981 Loss_G: -0.004078 Loss_D_real: -0.006348 Loss_D_fake 0.013633
[1658/5000][285/535][171165] Loss_D: -0.018712 Loss_G: 0.000133 Loss_D_real: -0.018363 Loss_D_fake 0.000349
[1658/5000][290/535][171166] Loss_D: -0.019933 Loss_G: 0.011084 Loss_D_real: -0.024610 Loss_D_fake -0.004677
[1658/5000][295/535][171167] Loss_D: -0.018563 Loss_G: 0.012391 Loss_D_real: -0.019917 Loss_D_fake -0.001354
[1658/5000][300/535][171168] Loss_D: -0.018398 Loss_G: 0.005327 Loss_D_real: -0.012009 Loss_D_fake 0.006389
[1658/5000][305/535][171169] Loss_D: -0.019579 Loss_G: 0.004101 Loss_D_real: -0.000732 Loss_D_fake 0.018847
[1658/5000][310/535][171170] Loss_D: -0.017980 Loss_G: 0.009458 Loss_D_real: -0.018621 Loss_D_fake -0.000641
[1658/5000][315/535][171171] Loss_D: -0.018739 Loss_G: 0.009256 Loss_D_real: -0.020055 Loss_D_fake -0.001316
[1658/5000][320/535][171172] Loss_D: -0.018464 Loss_G: 0.021010 Loss_D_real: -0.029713 Loss_D_fake -0.011249
[1658/5000][325/535][171173] Loss_D: -0.018228 Loss_G: 0.015501 Loss_D_real: -0.025049 Loss_D_fake -0.006822
[1658/5000][330/535][171174] Loss_D: -0.017812 Loss_G: 0.017967 Loss_D_real: -0.044646 Loss_D_fake -0.026834
[1658/5000][335/535][171175] Loss_D: -0.018490 Loss_G: 0.026684 Loss_D_real: -0.025389 Loss_D_fake -0.006899
[1658/5000][340/535][171176] Loss_D: -0.018678 Loss_G: -0.011389 Loss_D_real: -0.013645 Loss_D_fake 0.005033
[1658/5000][345/535][171177] Loss_D: -0.018920 Loss_G: -0.006663 Loss_D_real: 0.000096 Loss_D_fake 0.019016
[1658/5000][350/535][171178] Loss_D: -0.018452 Loss_G: 0.011422 Loss_D_real: -0.016052 Loss_D_fake 0.002399
[1658/5000][355/535][171179] Loss_D: -0.019289 Loss_G: 0.003405 Loss_D_real: -0.009580 Loss_D_fake 0.009708
[1658/5000][360/535][171180] Loss_D: -0.019377 Loss_G: 0.016518 Loss_D_real: -0.015500 Loss_D_fake 0.003876
[1658/5000][365/535][171181] Loss_D: -0.017920 Loss_G: 0.011707 Loss_D_real: -0.026340 Loss_D_fake -0.008420
[1658/5000][370/535][171182] Loss_D: -0.019521 Loss_G: -0.004810 Loss_D_real: -0.007452 Loss_D_fake 0.012069
[1658/5000][375/535][171183] Loss_D: -0.019032 Loss_G: 0.011744 Loss_D_real: -0.019472 Loss_D_fake -0.000439
[1658/5000][380/535][171184] Loss_D: -0.019249 Loss_G: 0.011013 Loss_D_real: -0.012568 Loss_D_fake 0.006681
[1658/5000][385/535][171185] Loss_D: -0.018656 Loss_G: 0.011560 Loss_D_real: -0.013125 Loss_D_fake 0.005532
[1658/5000][390/535][171186] Loss_D: -0.018691 Loss_G: -0.003148 Loss_D_real: -0.006765 Loss_D_fake 0.011926
[1658/5000][395/535][171187] Loss_D: -0.019444 Loss_G: 0.014574 Loss_D_real: -0.029507 Loss_D_fake -0.010063
[1658/5000][400/535][171188] Loss_D: -0.020847 Loss_G: 0.010577 Loss_D_real: -0.018326 Loss_D_fake 0.002521
[1658/5000][405/535][171189] Loss_D: -0.019110 Loss_G: -0.000557 Loss_D_real: -0.017989 Loss_D_fake 0.001121
[1658/5000][410/535][171190] Loss_D: -0.020527 Loss_G: -0.013916 Loss_D_real: -0.004720 Loss_D_fake 0.015807
[1658/5000][415/535][171191] Loss_D: -0.020190 Loss_G: 0.024754 Loss_D_real: -0.021698 Loss_D_fake -0.001508
[1658/5000][420/535][171192] Loss_D: -0.019988 Loss_G: -0.004895 Loss_D_real: 0.001040 Loss_D_fake 0.021028
[1658/5000][425/535][171193] Loss_D: -0.018261 Loss_G: 0.000420 Loss_D_real: -0.001194 Loss_D_fake 0.017067
[1658/5000][430/535][171194] Loss_D: -0.019629 Loss_G: -0.011302 Loss_D_real: -0.019154 Loss_D_fake 0.000475
[1658/5000][435/535][171195] Loss_D: -0.019528 Loss_G: 0.001154 Loss_D_real: -0.009985 Loss_D_fake 0.009543
[1658/5000][440/535][171196] Loss_D: -0.018031 Loss_G: 0.019764 Loss_D_real: -0.022371 Loss_D_fake -0.004340
[1658/5000][445/535][171197] Loss_D: -0.018445 Loss_G: -0.009096 Loss_D_real: -0.005433 Loss_D_fake 0.013011
[1658/5000][450/535][171198] Loss_D: -0.018736 Loss_G: -0.008050 Loss_D_real: 0.004907 Loss_D_fake 0.023644
[1658/5000][455/535][171199] Loss_D: -0.018932 Loss_G: 0.015383 Loss_D_real: -0.017226 Loss_D_fake 0.001706
[1658/5000][460/535][171200] Loss_D: -0.018888 Loss_G: 0.003049 Loss_D_real: -0.004884 Loss_D_fake 0.014004
[1658/5000][465/535][171201] Loss_D: -0.018479 Loss_G: 0.008219 Loss_D_real: -0.010870 Loss_D_fake 0.007609
[1658/5000][470/535][171202] Loss_D: -0.017766 Loss_G: 0.014640 Loss_D_real: -0.016790 Loss_D_fake 0.000976
[1658/5000][475/535][171203] Loss_D: -0.017850 Loss_G: 0.036033 Loss_D_real: -0.014406 Loss_D_fake 0.003443
[1658/5000][480/535][171204] Loss_D: -0.019621 Loss_G: 0.000350 Loss_D_real: -0.004141 Loss_D_fake 0.015480
[1658/5000][485/535][171205] Loss_D: -0.019220 Loss_G: 0.003842 Loss_D_real: -0.020970 Loss_D_fake -0.001749
[1658/5000][490/535][171206] Loss_D: -0.019734 Loss_G: 0.004157 Loss_D_real: -0.007355 Loss_D_fake 0.012378
[1658/5000][495/535][171207] Loss_D: -0.018560 Loss_G: -0.007932 Loss_D_real: -0.008352 Loss_D_fake 0.010208
[1658/5000][500/535][171208] Loss_D: -0.018472 Loss_G: 0.012502 Loss_D_real: -0.008854 Loss_D_fake 0.009618
[1658/5000][505/535][171209] Loss_D: -0.017976 Loss_G: 0.013586 Loss_D_real: -0.026752 Loss_D_fake -0.008776
[1658/5000][510/535][171210] Loss_D: -0.019501 Loss_G: -0.006706 Loss_D_real: -0.011972 Loss_D_fake 0.007529
[1658/5000][515/535][171211] Loss_D: -0.019152 Loss_G: -0.008844 Loss_D_real: -0.013806 Loss_D_fake 0.005346
[1658/5000][520/535][171212] Loss_D: -0.019062 Loss_G: 0.002110 Loss_D_real: -0.011925 Loss_D_fake 0.007137
[1658/5000][525/535][171213] Loss_D: -0.019185 Loss_G: 0.021243 Loss_D_real: -0.027964 Loss_D_fake -0.008779
[1658/5000][530/535][171214] Loss_D: -0.019242 Loss_G: 0.012989 Loss_D_real: -0.024995 Loss_D_fake -0.005753
[1658/5000][535/535][171215] Loss_D: -0.019894 Loss_G: -0.025782 Loss_D_real: -0.016861 Loss_D_fake 0.003033
[1659/5000][5/535][171216] Loss_D: -0.019385 Loss_G: 0.014825 Loss_D_real: -0.011607 Loss_D_fake 0.007778
[1659/5000][10/535][171217] Loss_D: -0.017927 Loss_G: 0.038412 Loss_D_real: -0.026323 Loss_D_fake -0.008395
[1659/5000][15/535][171218] Loss_D: -0.019754 Loss_G: 0.008442 Loss_D_real: -0.019095 Loss_D_fake 0.000659
[1659/5000][20/535][171219] Loss_D: -0.019717 Loss_G: -0.001979 Loss_D_real: -0.011227 Loss_D_fake 0.008490
[1659/5000][25/535][171220] Loss_D: -0.016983 Loss_G: 0.001390 Loss_D_real: -0.000974 Loss_D_fake 0.016009
[1659/5000][30/535][171221] Loss_D: -0.018669 Loss_G: 0.014901 Loss_D_real: -0.007883 Loss_D_fake 0.010787
[1659/5000][35/535][171222] Loss_D: -0.017895 Loss_G: 0.012860 Loss_D_real: -0.012293 Loss_D_fake 0.005602
[1659/5000][40/535][171223] Loss_D: -0.019519 Loss_G: 0.010328 Loss_D_real: -0.013463 Loss_D_fake 0.006056
[1659/5000][45/535][171224] Loss_D: -0.018063 Loss_G: 0.005431 Loss_D_real: -0.014002 Loss_D_fake 0.004060
[1659/5000][50/535][171225] Loss_D: -0.019450 Loss_G: -0.010173 Loss_D_real: -0.009839 Loss_D_fake 0.009611
[1659/5000][55/535][171226] Loss_D: -0.017676 Loss_G: 0.005555 Loss_D_real: -0.000830 Loss_D_fake 0.016846
[1659/5000][60/535][171227] Loss_D: -0.017974 Loss_G: 0.008589 Loss_D_real: -0.017893 Loss_D_fake 0.000081
[1659/5000][65/535][171228] Loss_D: -0.021083 Loss_G: 0.006870 Loss_D_real: -0.012661 Loss_D_fake 0.008422
[1659/5000][70/535][171229] Loss_D: -0.019208 Loss_G: -0.008999 Loss_D_real: -0.006338 Loss_D_fake 0.012870
[1659/5000][75/535][171230] Loss_D: -0.017940 Loss_G: 0.033533 Loss_D_real: -0.033980 Loss_D_fake -0.016041
[1659/5000][80/535][171231] Loss_D: -0.019543 Loss_G: 0.005707 Loss_D_real: -0.006994 Loss_D_fake 0.012548
[1659/5000][85/535][171232] Loss_D: -0.020108 Loss_G: -0.000261 Loss_D_real: -0.023900 Loss_D_fake -0.003792
[1659/5000][90/535][171233] Loss_D: -0.020349 Loss_G: 0.008675 Loss_D_real: -0.015110 Loss_D_fake 0.005239
[1659/5000][95/535][171234] Loss_D: -0.018046 Loss_G: -0.012814 Loss_D_real: 0.006885 Loss_D_fake 0.024931
[1659/5000][100/535][171235] Loss_D: -0.019003 Loss_G: 0.015730 Loss_D_real: -0.020528 Loss_D_fake -0.001525
[1659/5000][105/535][171236] Loss_D: -0.018810 Loss_G: -0.009188 Loss_D_real: -0.005165 Loss_D_fake 0.013645
[1659/5000][110/535][171237] Loss_D: -0.019178 Loss_G: 0.004782 Loss_D_real: -0.020945 Loss_D_fake -0.001767
[1659/5000][115/535][171238] Loss_D: -0.019049 Loss_G: 0.025213 Loss_D_real: -0.030993 Loss_D_fake -0.011944
[1659/5000][120/535][171239] Loss_D: -0.019059 Loss_G: -0.003723 Loss_D_real: -0.002276 Loss_D_fake 0.016783
[1659/5000][125/535][171240] Loss_D: -0.019310 Loss_G: 0.012717 Loss_D_real: -0.022328 Loss_D_fake -0.003019
[1659/5000][130/535][171241] Loss_D: -0.019280 Loss_G: 0.011755 Loss_D_real: -0.008748 Loss_D_fake 0.010532
[1659/5000][135/535][171242] Loss_D: -0.019873 Loss_G: 0.020615 Loss_D_real: -0.023785 Loss_D_fake -0.003912
[1659/5000][140/535][171243] Loss_D: -0.020763 Loss_G: -0.010998 Loss_D_real: -0.006894 Loss_D_fake 0.013869
[1659/5000][145/535][171244] Loss_D: -0.019933 Loss_G: -0.001420 Loss_D_real: -0.017222 Loss_D_fake 0.002712
[1659/5000][150/535][171245] Loss_D: -0.018706 Loss_G: -0.008271 Loss_D_real: -0.010247 Loss_D_fake 0.008460
[1659/5000][155/535][171246] Loss_D: -0.018676 Loss_G: 0.014281 Loss_D_real: -0.017186 Loss_D_fake 0.001489
[1659/5000][160/535][171247] Loss_D: -0.020149 Loss_G: 0.008443 Loss_D_real: -0.008173 Loss_D_fake 0.011976
[1659/5000][165/535][171248] Loss_D: -0.018305 Loss_G: 0.019689 Loss_D_real: -0.014294 Loss_D_fake 0.004011
[1659/5000][170/535][171249] Loss_D: -0.020091 Loss_G: -0.014851 Loss_D_real: -0.002486 Loss_D_fake 0.017605
[1659/5000][175/535][171250] Loss_D: -0.018637 Loss_G: -0.008214 Loss_D_real: -0.003817 Loss_D_fake 0.014820
[1659/5000][180/535][171251] Loss_D: -0.019508 Loss_G: -0.002939 Loss_D_real: -0.009676 Loss_D_fake 0.009832
[1659/5000][185/535][171252] Loss_D: -0.020956 Loss_G: 0.017681 Loss_D_real: -0.016214 Loss_D_fake 0.004741
[1659/5000][190/535][171253] Loss_D: -0.018049 Loss_G: -0.004655 Loss_D_real: -0.002150 Loss_D_fake 0.015899
[1659/5000][195/535][171254] Loss_D: -0.019704 Loss_G: 0.001331 Loss_D_real: -0.008667 Loss_D_fake 0.011037
[1659/5000][200/535][171255] Loss_D: -0.019661 Loss_G: 0.004021 Loss_D_real: -0.004597 Loss_D_fake 0.015064
[1659/5000][205/535][171256] Loss_D: -0.019942 Loss_G: 0.002281 Loss_D_real: -0.003857 Loss_D_fake 0.016085
[1659/5000][210/535][171257] Loss_D: -0.019673 Loss_G: 0.019149 Loss_D_real: -0.029774 Loss_D_fake -0.010101
[1659/5000][215/535][171258] Loss_D: -0.019970 Loss_G: 0.001434 Loss_D_real: -0.017331 Loss_D_fake 0.002639
[1659/5000][220/535][171259] Loss_D: -0.016114 Loss_G: 0.003405 Loss_D_real: -0.016215 Loss_D_fake -0.000101
[1659/5000][225/535][171260] Loss_D: -0.017488 Loss_G: -0.006631 Loss_D_real: -0.005755 Loss_D_fake 0.011734
[1659/5000][230/535][171261] Loss_D: -0.017806 Loss_G: 0.000019 Loss_D_real: -0.011924 Loss_D_fake 0.005882
[1659/5000][235/535][171262] Loss_D: -0.018321 Loss_G: -0.013224 Loss_D_real: -0.005512 Loss_D_fake 0.012809
[1659/5000][240/535][171263] Loss_D: -0.019775 Loss_G: 0.023573 Loss_D_real: -0.015577 Loss_D_fake 0.004198
[1659/5000][245/535][171264] Loss_D: -0.018694 Loss_G: 0.021812 Loss_D_real: -0.019898 Loss_D_fake -0.001204
[1659/5000][250/535][171265] Loss_D: -0.019125 Loss_G: 0.017895 Loss_D_real: -0.025084 Loss_D_fake -0.005959
[1659/5000][255/535][171266] Loss_D: -0.019866 Loss_G: 0.003849 Loss_D_real: -0.011228 Loss_D_fake 0.008638
[1659/5000][260/535][171267] Loss_D: -0.019521 Loss_G: -0.015908 Loss_D_real: -0.002936 Loss_D_fake 0.016585
[1659/5000][265/535][171268] Loss_D: -0.019053 Loss_G: 0.008319 Loss_D_real: -0.025881 Loss_D_fake -0.006828
[1659/5000][270/535][171269] Loss_D: -0.019456 Loss_G: 0.013897 Loss_D_real: -0.014179 Loss_D_fake 0.005278
[1659/5000][275/535][171270] Loss_D: -0.018950 Loss_G: 0.008943 Loss_D_real: -0.026012 Loss_D_fake -0.007062
[1659/5000][280/535][171271] Loss_D: -0.018338 Loss_G: 0.021275 Loss_D_real: -0.034505 Loss_D_fake -0.016168
[1659/5000][285/535][171272] Loss_D: -0.019439 Loss_G: 0.021168 Loss_D_real: -0.022854 Loss_D_fake -0.003415
[1659/5000][290/535][171273] Loss_D: -0.018441 Loss_G: -0.000996 Loss_D_real: -0.004316 Loss_D_fake 0.014125
[1659/5000][295/535][171274] Loss_D: -0.019419 Loss_G: 0.010180 Loss_D_real: -0.010491 Loss_D_fake 0.008928
[1659/5000][300/535][171275] Loss_D: -0.018550 Loss_G: 0.007050 Loss_D_real: -0.007254 Loss_D_fake 0.011296
[1659/5000][305/535][171276] Loss_D: -0.018387 Loss_G: 0.014555 Loss_D_real: -0.035228 Loss_D_fake -0.016841
[1659/5000][310/535][171277] Loss_D: -0.017559 Loss_G: 0.020690 Loss_D_real: -0.033645 Loss_D_fake -0.016086
[1659/5000][315/535][171278] Loss_D: -0.019624 Loss_G: 0.001816 Loss_D_real: -0.020284 Loss_D_fake -0.000660
[1659/5000][320/535][171279] Loss_D: -0.019407 Loss_G: 0.004805 Loss_D_real: -0.009979 Loss_D_fake 0.009428
[1659/5000][325/535][171280] Loss_D: -0.020364 Loss_G: 0.000228 Loss_D_real: -0.018122 Loss_D_fake 0.002242
[1659/5000][330/535][171281] Loss_D: -0.018973 Loss_G: 0.009745 Loss_D_real: -0.008249 Loss_D_fake 0.010723
[1659/5000][335/535][171282] Loss_D: -0.019818 Loss_G: 0.025540 Loss_D_real: -0.024799 Loss_D_fake -0.004980
[1659/5000][340/535][171283] Loss_D: -0.017456 Loss_G: 0.011105 Loss_D_real: -0.029446 Loss_D_fake -0.011990
[1659/5000][345/535][171284] Loss_D: -0.017899 Loss_G: 0.024637 Loss_D_real: -0.023405 Loss_D_fake -0.005506
[1659/5000][350/535][171285] Loss_D: -0.018140 Loss_G: 0.004414 Loss_D_real: -0.006479 Loss_D_fake 0.011661
[1659/5000][355/535][171286] Loss_D: -0.018291 Loss_G: -0.020329 Loss_D_real: 0.001929 Loss_D_fake 0.020221
[1659/5000][360/535][171287] Loss_D: -0.018311 Loss_G: 0.003905 Loss_D_real: -0.009060 Loss_D_fake 0.009251
[1659/5000][365/535][171288] Loss_D: -0.018492 Loss_G: 0.001106 Loss_D_real: -0.013411 Loss_D_fake 0.005081
[1659/5000][370/535][171289] Loss_D: -0.018806 Loss_G: 0.008712 Loss_D_real: -0.023433 Loss_D_fake -0.004627
[1659/5000][375/535][171290] Loss_D: -0.019402 Loss_G: 0.017008 Loss_D_real: -0.022543 Loss_D_fake -0.003141
[1659/5000][380/535][171291] Loss_D: -0.018604 Loss_G: 0.012563 Loss_D_real: -0.027959 Loss_D_fake -0.009355
[1659/5000][385/535][171292] Loss_D: -0.019917 Loss_G: 0.011306 Loss_D_real: -0.014929 Loss_D_fake 0.004988
[1659/5000][390/535][171293] Loss_D: -0.019599 Loss_G: 0.007802 Loss_D_real: -0.021292 Loss_D_fake -0.001693
[1659/5000][395/535][171294] Loss_D: -0.019456 Loss_G: 0.020354 Loss_D_real: -0.015271 Loss_D_fake 0.004185
[1659/5000][400/535][171295] Loss_D: -0.017953 Loss_G: 0.009005 Loss_D_real: -0.011151 Loss_D_fake 0.006802
[1659/5000][405/535][171296] Loss_D: -0.019264 Loss_G: 0.014647 Loss_D_real: -0.006223 Loss_D_fake 0.013041
[1659/5000][410/535][171297] Loss_D: -0.019603 Loss_G: -0.004263 Loss_D_real: -0.000338 Loss_D_fake 0.019265
[1659/5000][415/535][171298] Loss_D: -0.019202 Loss_G: 0.012045 Loss_D_real: -0.017503 Loss_D_fake 0.001699
[1659/5000][420/535][171299] Loss_D: -0.017292 Loss_G: -0.015605 Loss_D_real: -0.001296 Loss_D_fake 0.015996
[1659/5000][425/535][171300] Loss_D: -0.017831 Loss_G: -0.005128 Loss_D_real: -0.011990 Loss_D_fake 0.005840
[1659/5000][430/535][171301] Loss_D: -0.019142 Loss_G: -0.005551 Loss_D_real: -0.006302 Loss_D_fake 0.012839
[1659/5000][435/535][171302] Loss_D: -0.019093 Loss_G: 0.017796 Loss_D_real: -0.021555 Loss_D_fake -0.002462
[1659/5000][440/535][171303] Loss_D: -0.019538 Loss_G: 0.004627 Loss_D_real: -0.010356 Loss_D_fake 0.009181
[1659/5000][445/535][171304] Loss_D: -0.019581 Loss_G: 0.016603 Loss_D_real: -0.014914 Loss_D_fake 0.004667
[1659/5000][450/535][171305] Loss_D: -0.018761 Loss_G: 0.014918 Loss_D_real: -0.021653 Loss_D_fake -0.002891
[1659/5000][455/535][171306] Loss_D: -0.018793 Loss_G: -0.001345 Loss_D_real: -0.022955 Loss_D_fake -0.004162
[1659/5000][460/535][171307] Loss_D: -0.018794 Loss_G: -0.008452 Loss_D_real: -0.016896 Loss_D_fake 0.001898
[1659/5000][465/535][171308] Loss_D: -0.018375 Loss_G: 0.013690 Loss_D_real: -0.019616 Loss_D_fake -0.001241
[1659/5000][470/535][171309] Loss_D: -0.018571 Loss_G: -0.008015 Loss_D_real: -0.006360 Loss_D_fake 0.012212
[1659/5000][475/535][171310] Loss_D: -0.019014 Loss_G: 0.002916 Loss_D_real: -0.011014 Loss_D_fake 0.008000
[1659/5000][480/535][171311] Loss_D: -0.020095 Loss_G: -0.003017 Loss_D_real: 0.003655 Loss_D_fake 0.023749
[1659/5000][485/535][171312] Loss_D: -0.018761 Loss_G: 0.007622 Loss_D_real: -0.025321 Loss_D_fake -0.006560
[1659/5000][490/535][171313] Loss_D: -0.019642 Loss_G: 0.006396 Loss_D_real: -0.007334 Loss_D_fake 0.012308
[1659/5000][495/535][171314] Loss_D: -0.019013 Loss_G: -0.002733 Loss_D_real: -0.011302 Loss_D_fake 0.007711
[1659/5000][500/535][171315] Loss_D: -0.019457 Loss_G: 0.008343 Loss_D_real: -0.026356 Loss_D_fake -0.006900
[1659/5000][505/535][171316] Loss_D: -0.020007 Loss_G: -0.000563 Loss_D_real: -0.030204 Loss_D_fake -0.010197
[1659/5000][510/535][171317] Loss_D: -0.020159 Loss_G: 0.020867 Loss_D_real: -0.016256 Loss_D_fake 0.003902
[1659/5000][515/535][171318] Loss_D: -0.019501 Loss_G: 0.002013 Loss_D_real: -0.012341 Loss_D_fake 0.007159
[1659/5000][520/535][171319] Loss_D: -0.017164 Loss_G: 0.012096 Loss_D_real: -0.009253 Loss_D_fake 0.007912
[1659/5000][525/535][171320] Loss_D: -0.018354 Loss_G: -0.004794 Loss_D_real: -0.007274 Loss_D_fake 0.011080
[1659/5000][530/535][171321] Loss_D: -0.020240 Loss_G: 0.025812 Loss_D_real: -0.020692 Loss_D_fake -0.000451
[1659/5000][535/535][171322] Loss_D: -0.023681 Loss_G: -0.026209 Loss_D_real: -0.017021 Loss_D_fake 0.006660
[1660/5000][5/535][171323] Loss_D: -0.019258 Loss_G: -0.000710 Loss_D_real: -0.023650 Loss_D_fake -0.004392
[1660/5000][10/535][171324] Loss_D: -0.020688 Loss_G: 0.017715 Loss_D_real: -0.003185 Loss_D_fake 0.017503
[1660/5000][15/535][171325] Loss_D: -0.018989 Loss_G: 0.013914 Loss_D_real: -0.009759 Loss_D_fake 0.009230
[1660/5000][20/535][171326] Loss_D: -0.018106 Loss_G: -0.008077 Loss_D_real: -0.004220 Loss_D_fake 0.013886
[1660/5000][25/535][171327] Loss_D: -0.018895 Loss_G: 0.024772 Loss_D_real: -0.019830 Loss_D_fake -0.000936
[1660/5000][30/535][171328] Loss_D: -0.019335 Loss_G: 0.005457 Loss_D_real: -0.009283 Loss_D_fake 0.010052
[1660/5000][35/535][171329] Loss_D: -0.018797 Loss_G: 0.023205 Loss_D_real: -0.014165 Loss_D_fake 0.004632
[1660/5000][40/535][171330] Loss_D: -0.020128 Loss_G: 0.001769 Loss_D_real: -0.018984 Loss_D_fake 0.001144
[1660/5000][45/535][171331] Loss_D: -0.018834 Loss_G: 0.007498 Loss_D_real: -0.023705 Loss_D_fake -0.004871
[1660/5000][50/535][171332] Loss_D: -0.018812 Loss_G: 0.017653 Loss_D_real: -0.018902 Loss_D_fake -0.000090
[1660/5000][55/535][171333] Loss_D: -0.019310 Loss_G: 0.005819 Loss_D_real: -0.013590 Loss_D_fake 0.005720
[1660/5000][60/535][171334] Loss_D: -0.020220 Loss_G: -0.004840 Loss_D_real: -0.010362 Loss_D_fake 0.009858
[1660/5000][65/535][171335] Loss_D: -0.019375 Loss_G: 0.008160 Loss_D_real: -0.013253 Loss_D_fake 0.006122
[1660/5000][70/535][171336] Loss_D: -0.020518 Loss_G: 0.007328 Loss_D_real: -0.016244 Loss_D_fake 0.004274
[1660/5000][75/535][171337] Loss_D: -0.019846 Loss_G: 0.022741 Loss_D_real: -0.013319 Loss_D_fake 0.006527
[1660/5000][80/535][171338] Loss_D: -0.017388 Loss_G: 0.000313 Loss_D_real: -0.021381 Loss_D_fake -0.003993
[1660/5000][85/535][171339] Loss_D: -0.019226 Loss_G: -0.008754 Loss_D_real: -0.012899 Loss_D_fake 0.006327
[1660/5000][90/535][171340] Loss_D: -0.019449 Loss_G: 0.004732 Loss_D_real: -0.010577 Loss_D_fake 0.008872
[1660/5000][95/535][171341] Loss_D: -0.020049 Loss_G: 0.013110 Loss_D_real: -0.027274 Loss_D_fake -0.007225
[1660/5000][100/535][171342] Loss_D: -0.019212 Loss_G: 0.007474 Loss_D_real: -0.021031 Loss_D_fake -0.001819
[1660/5000][105/535][171343] Loss_D: -0.017414 Loss_G: 0.022324 Loss_D_real: -0.028799 Loss_D_fake -0.011385
[1660/5000][110/535][171344] Loss_D: -0.021090 Loss_G: 0.020827 Loss_D_real: -0.023277 Loss_D_fake -0.002187
[1660/5000][115/535][171345] Loss_D: -0.019735 Loss_G: -0.009573 Loss_D_real: -0.005314 Loss_D_fake 0.014421
[1660/5000][120/535][171346] Loss_D: -0.019163 Loss_G: 0.000915 Loss_D_real: -0.001366 Loss_D_fake 0.017797
[1660/5000][125/535][171347] Loss_D: -0.019311 Loss_G: 0.006592 Loss_D_real: -0.014610 Loss_D_fake 0.004701
[1660/5000][130/535][171348] Loss_D: -0.019569 Loss_G: -0.004002 Loss_D_real: -0.004301 Loss_D_fake 0.015267
[1660/5000][135/535][171349] Loss_D: -0.019393 Loss_G: 0.012441 Loss_D_real: -0.016620 Loss_D_fake 0.002773
[1660/5000][140/535][171350] Loss_D: -0.019659 Loss_G: 0.024336 Loss_D_real: -0.038973 Loss_D_fake -0.019314
[1660/5000][145/535][171351] Loss_D: -0.019381 Loss_G: -0.011088 Loss_D_real: -0.006813 Loss_D_fake 0.012568
[1660/5000][150/535][171352] Loss_D: -0.017901 Loss_G: -0.008087 Loss_D_real: -0.019921 Loss_D_fake -0.002020
[1660/5000][155/535][171353] Loss_D: -0.019387 Loss_G: 0.008916 Loss_D_real: -0.013822 Loss_D_fake 0.005565
[1660/5000][160/535][171354] Loss_D: -0.017218 Loss_G: -0.007737 Loss_D_real: 0.007326 Loss_D_fake 0.024544
[1660/5000][165/535][171355] Loss_D: -0.019452 Loss_G: 0.019232 Loss_D_real: -0.021227 Loss_D_fake -0.001776
[1660/5000][170/535][171356] Loss_D: -0.017388 Loss_G: 0.027299 Loss_D_real: -0.032931 Loss_D_fake -0.015542
[1660/5000][175/535][171357] Loss_D: -0.017902 Loss_G: 0.009992 Loss_D_real: 0.000162 Loss_D_fake 0.018063
[1660/5000][180/535][171358] Loss_D: -0.020470 Loss_G: 0.001540 Loss_D_real: -0.011750 Loss_D_fake 0.008719
[1660/5000][185/535][171359] Loss_D: -0.017650 Loss_G: 0.022647 Loss_D_real: -0.010352 Loss_D_fake 0.007299
[1660/5000][190/535][171360] Loss_D: -0.019303 Loss_G: 0.006113 Loss_D_real: -0.012095 Loss_D_fake 0.007208
[1660/5000][195/535][171361] Loss_D: -0.018819 Loss_G: 0.011169 Loss_D_real: -0.012114 Loss_D_fake 0.006705
[1660/5000][200/535][171362] Loss_D: -0.019680 Loss_G: 0.013419 Loss_D_real: -0.038785 Loss_D_fake -0.019105
[1660/5000][205/535][171363] Loss_D: -0.018071 Loss_G: 0.031405 Loss_D_real: -0.022449 Loss_D_fake -0.004378
[1660/5000][210/535][171364] Loss_D: -0.017820 Loss_G: 0.029139 Loss_D_real: -0.024076 Loss_D_fake -0.006256
[1660/5000][215/535][171365] Loss_D: -0.018206 Loss_G: 0.003711 Loss_D_real: -0.015033 Loss_D_fake 0.003173
[1660/5000][220/535][171366] Loss_D: -0.018190 Loss_G: 0.010222 Loss_D_real: -0.031974 Loss_D_fake -0.013784
[1660/5000][225/535][171367] Loss_D: -0.019050 Loss_G: 0.006241 Loss_D_real: -0.011801 Loss_D_fake 0.007249
[1660/5000][230/535][171368] Loss_D: -0.019498 Loss_G: 0.002339 Loss_D_real: -0.035037 Loss_D_fake -0.015539
[1660/5000][235/535][171369] Loss_D: -0.019199 Loss_G: 0.012186 Loss_D_real: -0.014258 Loss_D_fake 0.004941
[1660/5000][240/535][171370] Loss_D: -0.019621 Loss_G: -0.010117 Loss_D_real: -0.000461 Loss_D_fake 0.019159
[1660/5000][245/535][171371] Loss_D: -0.019333 Loss_G: 0.017861 Loss_D_real: -0.012901 Loss_D_fake 0.006432
[1660/5000][250/535][171372] Loss_D: -0.019534 Loss_G: -0.007875 Loss_D_real: -0.011810 Loss_D_fake 0.007724
[1660/5000][255/535][171373] Loss_D: -0.019149 Loss_G: 0.012345 Loss_D_real: -0.024658 Loss_D_fake -0.005509
[1660/5000][260/535][171374] Loss_D: -0.019900 Loss_G: 0.008873 Loss_D_real: -0.020528 Loss_D_fake -0.000628
[1660/5000][265/535][171375] Loss_D: -0.017618 Loss_G: -0.004720 Loss_D_real: -0.015390 Loss_D_fake 0.002228
[1660/5000][270/535][171376] Loss_D: -0.018776 Loss_G: -0.001025 Loss_D_real: -0.006293 Loss_D_fake 0.012483
[1660/5000][275/535][171377] Loss_D: -0.018904 Loss_G: 0.005316 Loss_D_real: -0.012614 Loss_D_fake 0.006290
[1660/5000][280/535][171378] Loss_D: -0.017903 Loss_G: -0.010890 Loss_D_real: 0.000868 Loss_D_fake 0.018770
[1660/5000][285/535][171379] Loss_D: -0.019520 Loss_G: -0.001352 Loss_D_real: -0.011303 Loss_D_fake 0.008217
[1660/5000][290/535][171380] Loss_D: -0.020372 Loss_G: 0.003100 Loss_D_real: -0.011690 Loss_D_fake 0.008682
[1660/5000][295/535][171381] Loss_D: -0.019259 Loss_G: 0.018638 Loss_D_real: -0.032718 Loss_D_fake -0.013459
[1660/5000][300/535][171382] Loss_D: -0.018754 Loss_G: 0.024204 Loss_D_real: -0.031955 Loss_D_fake -0.013200
[1660/5000][305/535][171383] Loss_D: -0.018894 Loss_G: -0.019994 Loss_D_real: -0.003375 Loss_D_fake 0.015519
[1660/5000][310/535][171384] Loss_D: -0.019771 Loss_G: 0.007295 Loss_D_real: -0.011735 Loss_D_fake 0.008035
[1660/5000][315/535][171385] Loss_D: -0.019760 Loss_G: 0.006425 Loss_D_real: -0.010794 Loss_D_fake 0.008966
[1660/5000][320/535][171386] Loss_D: -0.020203 Loss_G: 0.013314 Loss_D_real: -0.004695 Loss_D_fake 0.015509
[1660/5000][325/535][171387] Loss_D: -0.020533 Loss_G: 0.000984 Loss_D_real: -0.010510 Loss_D_fake 0.010023
[1660/5000][330/535][171388] Loss_D: -0.019550 Loss_G: 0.016544 Loss_D_real: -0.021042 Loss_D_fake -0.001492
[1660/5000][335/535][171389] Loss_D: -0.019625 Loss_G: 0.006120 Loss_D_real: -0.007498 Loss_D_fake 0.012127
[1660/5000][340/535][171390] Loss_D: -0.019429 Loss_G: 0.006953 Loss_D_real: -0.006937 Loss_D_fake 0.012492
[1660/5000][345/535][171391] Loss_D: -0.018918 Loss_G: -0.011040 Loss_D_real: -0.002908 Loss_D_fake 0.016010
[1660/5000][350/535][171392] Loss_D: -0.018536 Loss_G: 0.024407 Loss_D_real: -0.024383 Loss_D_fake -0.005847
[1660/5000][355/535][171393] Loss_D: -0.018993 Loss_G: 0.007557 Loss_D_real: -0.023778 Loss_D_fake -0.004785
[1660/5000][360/535][171394] Loss_D: -0.018488 Loss_G: 0.010666 Loss_D_real: -0.016185 Loss_D_fake 0.002304
[1660/5000][365/535][171395] Loss_D: -0.018660 Loss_G: -0.018909 Loss_D_real: -0.005073 Loss_D_fake 0.013587
[1660/5000][370/535][171396] Loss_D: -0.017062 Loss_G: -0.002342 Loss_D_real: 0.005226 Loss_D_fake 0.022288
[1660/5000][375/535][171397] Loss_D: -0.018247 Loss_G: -0.000976 Loss_D_real: -0.004887 Loss_D_fake 0.013360
[1660/5000][380/535][171398] Loss_D: -0.018069 Loss_G: 0.011347 Loss_D_real: -0.013753 Loss_D_fake 0.004316
[1660/5000][385/535][171399] Loss_D: -0.020024 Loss_G: -0.012927 Loss_D_real: -0.003388 Loss_D_fake 0.016636
[1660/5000][390/535][171400] Loss_D: -0.018947 Loss_G: -0.009157 Loss_D_real: -0.009966 Loss_D_fake 0.008981
[1660/5000][395/535][171401] Loss_D: -0.019057 Loss_G: 0.012392 Loss_D_real: -0.011878 Loss_D_fake 0.007179
[1660/5000][400/535][171402] Loss_D: -0.017319 Loss_G: 0.016084 Loss_D_real: -0.024480 Loss_D_fake -0.007161
[1660/5000][405/535][171403] Loss_D: -0.019923 Loss_G: 0.002113 Loss_D_real: -0.014621 Loss_D_fake 0.005301
[1660/5000][410/535][171404] Loss_D: -0.017642 Loss_G: 0.014094 Loss_D_real: -0.026370 Loss_D_fake -0.008728
[1660/5000][415/535][171405] Loss_D: -0.019534 Loss_G: 0.008128 Loss_D_real: -0.030261 Loss_D_fake -0.010727
[1660/5000][420/535][171406] Loss_D: -0.018803 Loss_G: 0.003640 Loss_D_real: -0.008773 Loss_D_fake 0.010030
[1660/5000][425/535][171407] Loss_D: -0.019187 Loss_G: 0.006755 Loss_D_real: -0.017681 Loss_D_fake 0.001506
[1660/5000][430/535][171408] Loss_D: -0.020619 Loss_G: -0.002848 Loss_D_real: -0.018479 Loss_D_fake 0.002139
[1660/5000][435/535][171409] Loss_D: -0.018879 Loss_G: -0.007919 Loss_D_real: 0.000249 Loss_D_fake 0.019127
[1660/5000][440/535][171410] Loss_D: -0.018508 Loss_G: -0.001527 Loss_D_real: 0.001901 Loss_D_fake 0.020409
[1660/5000][445/535][171411] Loss_D: -0.018246 Loss_G: 0.002506 Loss_D_real: -0.006300 Loss_D_fake 0.011946
[1660/5000][450/535][171412] Loss_D: -0.017956 Loss_G: 0.009775 Loss_D_real: -0.017090 Loss_D_fake 0.000866
[1660/5000][455/535][171413] Loss_D: -0.019605 Loss_G: 0.029298 Loss_D_real: -0.032054 Loss_D_fake -0.012450
[1660/5000][460/535][171414] Loss_D: -0.018419 Loss_G: 0.024843 Loss_D_real: -0.007310 Loss_D_fake 0.011109
[1660/5000][465/535][171415] Loss_D: -0.018290 Loss_G: 0.012670 Loss_D_real: -0.020237 Loss_D_fake -0.001947
[1660/5000][470/535][171416] Loss_D: -0.018158 Loss_G: 0.010485 Loss_D_real: -0.027944 Loss_D_fake -0.009786
[1660/5000][475/535][171417] Loss_D: -0.018249 Loss_G: -0.009293 Loss_D_real: -0.011728 Loss_D_fake 0.006521
[1660/5000][480/535][171418] Loss_D: -0.017510 Loss_G: 0.018425 Loss_D_real: -0.018135 Loss_D_fake -0.000625
[1660/5000][485/535][171419] Loss_D: -0.018805 Loss_G: -0.000049 Loss_D_real: -0.016661 Loss_D_fake 0.002144
[1660/5000][490/535][171420] Loss_D: -0.019097 Loss_G: 0.007028 Loss_D_real: -0.016804 Loss_D_fake 0.002293
[1660/5000][495/535][171421] Loss_D: -0.018710 Loss_G: 0.001400 Loss_D_real: -0.017806 Loss_D_fake 0.000904
[1660/5000][500/535][171422] Loss_D: -0.019691 Loss_G: 0.003264 Loss_D_real: -0.003588 Loss_D_fake 0.016102
[1660/5000][505/535][171423] Loss_D: -0.018946 Loss_G: 0.014731 Loss_D_real: -0.028744 Loss_D_fake -0.009797
[1660/5000][510/535][171424] Loss_D: -0.019292 Loss_G: 0.005212 Loss_D_real: -0.002914 Loss_D_fake 0.016379
[1660/5000][515/535][171425] Loss_D: -0.018501 Loss_G: 0.011075 Loss_D_real: -0.021032 Loss_D_fake -0.002530
[1660/5000][520/535][171426] Loss_D: -0.019149 Loss_G: 0.014954 Loss_D_real: -0.020051 Loss_D_fake -0.000902
[1660/5000][525/535][171427] Loss_D: -0.019320 Loss_G: 0.019004 Loss_D_real: -0.029437 Loss_D_fake -0.010117
[1660/5000][530/535][171428] Loss_D: -0.018180 Loss_G: 0.006421 Loss_D_real: -0.013292 Loss_D_fake 0.004888
[1660/5000][535/535][171429] Loss_D: -0.014536 Loss_G: 0.021498 Loss_D_real: -0.016088 Loss_D_fake -0.001552
[1661/5000][5/535][171430] Loss_D: -0.018836 Loss_G: 0.009852 Loss_D_real: -0.021769 Loss_D_fake -0.002933
[1661/5000][10/535][171431] Loss_D: -0.018598 Loss_G: -0.004014 Loss_D_real: -0.021879 Loss_D_fake -0.003281
[1661/5000][15/535][171432] Loss_D: -0.018216 Loss_G: 0.026177 Loss_D_real: -0.025635 Loss_D_fake -0.007419
[1661/5000][20/535][171433] Loss_D: -0.021052 Loss_G: 0.024221 Loss_D_real: -0.009158 Loss_D_fake 0.011894
[1661/5000][25/535][171434] Loss_D: -0.019665 Loss_G: -0.001118 Loss_D_real: -0.030972 Loss_D_fake -0.011307
[1661/5000][30/535][171435] Loss_D: -0.020087 Loss_G: 0.001608 Loss_D_real: -0.002381 Loss_D_fake 0.017706
[1661/5000][35/535][171436] Loss_D: -0.019710 Loss_G: -0.010477 Loss_D_real: -0.006917 Loss_D_fake 0.012793
[1661/5000][40/535][171437] Loss_D: -0.020074 Loss_G: 0.003447 Loss_D_real: -0.020414 Loss_D_fake -0.000339
[1661/5000][45/535][171438] Loss_D: -0.019518 Loss_G: 0.013085 Loss_D_real: -0.024005 Loss_D_fake -0.004486
[1661/5000][50/535][171439] Loss_D: -0.019748 Loss_G: 0.004582 Loss_D_real: -0.018102 Loss_D_fake 0.001646
[1661/5000][55/535][171440] Loss_D: -0.019758 Loss_G: -0.015694 Loss_D_real: -0.005967 Loss_D_fake 0.013791
[1661/5000][60/535][171441] Loss_D: -0.018115 Loss_G: -0.011503 Loss_D_real: -0.001339 Loss_D_fake 0.016775
[1661/5000][65/535][171442] Loss_D: -0.018908 Loss_G: 0.001483 Loss_D_real: -0.002654 Loss_D_fake 0.016254
[1661/5000][70/535][171443] Loss_D: -0.018797 Loss_G: 0.030710 Loss_D_real: -0.020009 Loss_D_fake -0.001212
[1661/5000][75/535][171444] Loss_D: -0.019539 Loss_G: 0.003652 Loss_D_real: -0.004577 Loss_D_fake 0.014962
[1661/5000][80/535][171445] Loss_D: -0.017554 Loss_G: -0.000366 Loss_D_real: 0.002293 Loss_D_fake 0.019847
[1661/5000][85/535][171446] Loss_D: -0.017812 Loss_G: 0.001194 Loss_D_real: 0.013625 Loss_D_fake 0.031437
[1661/5000][90/535][171447] Loss_D: -0.017170 Loss_G: 0.019056 Loss_D_real: -0.026392 Loss_D_fake -0.009222
[1661/5000][95/535][171448] Loss_D: -0.019591 Loss_G: 0.012327 Loss_D_real: -0.020629 Loss_D_fake -0.001038
[1661/5000][100/535][171449] Loss_D: -0.019312 Loss_G: 0.003166 Loss_D_real: -0.008900 Loss_D_fake 0.010412
[1661/5000][105/535][171450] Loss_D: -0.019193 Loss_G: 0.008364 Loss_D_real: -0.020393 Loss_D_fake -0.001200
[1661/5000][110/535][171451] Loss_D: -0.018939 Loss_G: -0.002337 Loss_D_real: -0.010257 Loss_D_fake 0.008683
[1661/5000][115/535][171452] Loss_D: -0.019355 Loss_G: 0.003050 Loss_D_real: -0.001771 Loss_D_fake 0.017584
[1661/5000][120/535][171453] Loss_D: -0.018845 Loss_G: 0.022317 Loss_D_real: -0.021031 Loss_D_fake -0.002186
[1661/5000][125/535][171454] Loss_D: -0.019529 Loss_G: 0.007834 Loss_D_real: -0.017255 Loss_D_fake 0.002274
[1661/5000][130/535][171455] Loss_D: -0.019853 Loss_G: 0.003450 Loss_D_real: -0.018772 Loss_D_fake 0.001081
[1661/5000][135/535][171456] Loss_D: -0.021086 Loss_G: 0.003215 Loss_D_real: -0.019019 Loss_D_fake 0.002067
[1661/5000][140/535][171457] Loss_D: -0.018355 Loss_G: 0.016512 Loss_D_real: -0.023264 Loss_D_fake -0.004909
[1661/5000][145/535][171458] Loss_D: -0.017862 Loss_G: 0.016304 Loss_D_real: -0.019531 Loss_D_fake -0.001668
[1661/5000][150/535][171459] Loss_D: -0.019023 Loss_G: 0.000988 Loss_D_real: -0.003930 Loss_D_fake 0.015093
[1661/5000][155/535][171460] Loss_D: -0.019998 Loss_G: 0.011792 Loss_D_real: -0.028077 Loss_D_fake -0.008079
[1661/5000][160/535][171461] Loss_D: -0.020221 Loss_G: 0.032503 Loss_D_real: -0.012161 Loss_D_fake 0.008059
[1661/5000][165/535][171462] Loss_D: -0.019335 Loss_G: 0.014203 Loss_D_real: -0.018356 Loss_D_fake 0.000979
[1661/5000][170/535][171463] Loss_D: -0.018777 Loss_G: 0.013932 Loss_D_real: -0.016124 Loss_D_fake 0.002652
[1661/5000][175/535][171464] Loss_D: -0.018960 Loss_G: 0.006916 Loss_D_real: -0.021412 Loss_D_fake -0.002452
[1661/5000][180/535][171465] Loss_D: -0.019245 Loss_G: 0.013273 Loss_D_real: -0.023276 Loss_D_fake -0.004031
[1661/5000][185/535][171466] Loss_D: -0.019260 Loss_G: 0.011994 Loss_D_real: -0.022692 Loss_D_fake -0.003432
[1661/5000][190/535][171467] Loss_D: -0.019753 Loss_G: 0.010964 Loss_D_real: -0.019986 Loss_D_fake -0.000233
[1661/5000][195/535][171468] Loss_D: -0.018390 Loss_G: -0.015632 Loss_D_real: -0.003567 Loss_D_fake 0.014823
[1661/5000][200/535][171469] Loss_D: -0.017825 Loss_G: 0.003264 Loss_D_real: -0.023548 Loss_D_fake -0.005723
[1661/5000][205/535][171470] Loss_D: -0.018590 Loss_G: -0.002278 Loss_D_real: -0.007163 Loss_D_fake 0.011427
[1661/5000][210/535][171471] Loss_D: -0.018713 Loss_G: 0.036239 Loss_D_real: -0.015673 Loss_D_fake 0.003040
[1661/5000][215/535][171472] Loss_D: -0.017828 Loss_G: -0.024801 Loss_D_real: -0.000971 Loss_D_fake 0.016857
[1661/5000][220/535][171473] Loss_D: -0.017223 Loss_G: 0.014821 Loss_D_real: -0.014677 Loss_D_fake 0.002547
[1661/5000][225/535][171474] Loss_D: -0.019622 Loss_G: -0.000837 Loss_D_real: -0.003962 Loss_D_fake 0.015661
[1661/5000][230/535][171475] Loss_D: -0.018361 Loss_G: -0.003939 Loss_D_real: -0.013505 Loss_D_fake 0.004856
[1661/5000][235/535][171476] Loss_D: -0.017916 Loss_G: 0.004444 Loss_D_real: -0.022168 Loss_D_fake -0.004252
[1661/5000][240/535][171477] Loss_D: -0.018700 Loss_G: 0.008222 Loss_D_real: -0.016479 Loss_D_fake 0.002220
[1661/5000][245/535][171478] Loss_D: -0.020436 Loss_G: 0.010892 Loss_D_real: -0.022284 Loss_D_fake -0.001848
[1661/5000][250/535][171479] Loss_D: -0.019450 Loss_G: -0.004981 Loss_D_real: -0.004944 Loss_D_fake 0.014505
[1661/5000][255/535][171480] Loss_D: -0.017205 Loss_G: 0.017993 Loss_D_real: -0.027219 Loss_D_fake -0.010014
[1661/5000][260/535][171481] Loss_D: -0.020524 Loss_G: 0.012505 Loss_D_real: -0.012283 Loss_D_fake 0.008241
[1661/5000][265/535][171482] Loss_D: -0.018893 Loss_G: 0.026195 Loss_D_real: -0.024579 Loss_D_fake -0.005686
[1661/5000][270/535][171483] Loss_D: -0.018136 Loss_G: -0.010345 Loss_D_real: -0.000710 Loss_D_fake 0.017427
[1661/5000][275/535][171484] Loss_D: -0.018127 Loss_G: 0.015296 Loss_D_real: -0.029539 Loss_D_fake -0.011412
[1661/5000][280/535][171485] Loss_D: -0.018633 Loss_G: 0.016447 Loss_D_real: -0.017050 Loss_D_fake 0.001583
[1661/5000][285/535][171486] Loss_D: -0.019367 Loss_G: 0.018252 Loss_D_real: -0.022901 Loss_D_fake -0.003535
[1661/5000][290/535][171487] Loss_D: -0.019736 Loss_G: -0.004314 Loss_D_real: -0.009201 Loss_D_fake 0.010534
[1661/5000][295/535][171488] Loss_D: -0.019356 Loss_G: 0.007453 Loss_D_real: -0.012858 Loss_D_fake 0.006497
[1661/5000][300/535][171489] Loss_D: -0.020359 Loss_G: 0.015532 Loss_D_real: -0.023616 Loss_D_fake -0.003257
[1661/5000][305/535][171490] Loss_D: -0.020176 Loss_G: -0.000704 Loss_D_real: -0.010453 Loss_D_fake 0.009723
[1661/5000][310/535][171491] Loss_D: -0.018206 Loss_G: 0.028417 Loss_D_real: -0.026926 Loss_D_fake -0.008721
[1661/5000][315/535][171492] Loss_D: -0.018972 Loss_G: -0.006644 Loss_D_real: -0.001665 Loss_D_fake 0.017307
[1661/5000][320/535][171493] Loss_D: -0.018886 Loss_G: 0.015613 Loss_D_real: -0.016366 Loss_D_fake 0.002520
[1661/5000][325/535][171494] Loss_D: -0.018335 Loss_G: 0.015905 Loss_D_real: -0.022077 Loss_D_fake -0.003742
[1661/5000][330/535][171495] Loss_D: -0.020220 Loss_G: 0.003356 Loss_D_real: -0.024967 Loss_D_fake -0.004747
[1661/5000][335/535][171496] Loss_D: -0.019747 Loss_G: 0.007489 Loss_D_real: -0.017874 Loss_D_fake 0.001872
[1661/5000][340/535][171497] Loss_D: -0.019752 Loss_G: -0.001597 Loss_D_real: 0.000587 Loss_D_fake 0.020339
[1661/5000][345/535][171498] Loss_D: -0.019403 Loss_G: 0.015448 Loss_D_real: -0.016150 Loss_D_fake 0.003253
[1661/5000][350/535][171499] Loss_D: -0.018729 Loss_G: 0.017544 Loss_D_real: -0.032155 Loss_D_fake -0.013427
[1661/5000][355/535][171500] Loss_D: -0.019772 Loss_G: -0.011676 Loss_D_real: -0.004118 Loss_D_fake 0.015655
[1661/5000][455/535][171501] Loss_D: -0.023951 Loss_G: 0.010950 Loss_D_real: -0.016553 Loss_D_fake 0.007397
[1661/5000][460/535][171502] Loss_D: -0.018265 Loss_G: 0.011831 Loss_D_real: -0.018310 Loss_D_fake -0.000045
[1661/5000][465/535][171503] Loss_D: -0.018055 Loss_G: 0.004161 Loss_D_real: -0.016245 Loss_D_fake 0.001810
[1661/5000][470/535][171504] Loss_D: -0.016541 Loss_G: 0.001311 Loss_D_real: -0.020243 Loss_D_fake -0.003703
[1661/5000][475/535][171505] Loss_D: -0.019543 Loss_G: 0.005878 Loss_D_real: -0.006411 Loss_D_fake 0.013132
[1661/5000][480/535][171506] Loss_D: -0.020232 Loss_G: -0.003118 Loss_D_real: -0.011585 Loss_D_fake 0.008647
[1661/5000][485/535][171507] Loss_D: -0.018434 Loss_G: 0.011484 Loss_D_real: -0.011689 Loss_D_fake 0.006745
[1661/5000][490/535][171508] Loss_D: -0.017076 Loss_G: 0.006273 Loss_D_real: 0.003948 Loss_D_fake 0.021025
[1661/5000][495/535][171509] Loss_D: -0.016350 Loss_G: 0.000306 Loss_D_real: -0.015066 Loss_D_fake 0.001284
[1661/5000][500/535][171510] Loss_D: -0.018780 Loss_G: -0.005719 Loss_D_real: -0.010623 Loss_D_fake 0.008157
[1661/5000][505/535][171511] Loss_D: -0.017622 Loss_G: 0.010075 Loss_D_real: -0.015977 Loss_D_fake 0.001645
[1661/5000][510/535][171512] Loss_D: -0.017404 Loss_G: -0.002796 Loss_D_real: -0.004456 Loss_D_fake 0.012948
[1661/5000][515/535][171513] Loss_D: -0.016813 Loss_G: 0.024449 Loss_D_real: -0.026722 Loss_D_fake -0.009909
[1661/5000][520/535][171514] Loss_D: -0.020272 Loss_G: 0.000055 Loss_D_real: 0.000625 Loss_D_fake 0.020897
[1661/5000][525/535][171515] Loss_D: -0.017881 Loss_G: 0.018858 Loss_D_real: -0.023798 Loss_D_fake -0.005918
[1661/5000][530/535][171516] Loss_D: -0.018268 Loss_G: -0.003870 Loss_D_real: -0.005331 Loss_D_fake 0.012937
[1661/5000][535/535][171517] Loss_D: -0.020370 Loss_G: -0.009273 Loss_D_real: 0.003738 Loss_D_fake 0.024108
[1662/5000][5/535][171518] Loss_D: -0.018349 Loss_G: 0.003199 Loss_D_real: -0.016005 Loss_D_fake 0.002344
[1662/5000][10/535][171519] Loss_D: -0.018981 Loss_G: 0.002262 Loss_D_real: -0.010956 Loss_D_fake 0.008025
[1662/5000][15/535][171520] Loss_D: -0.018588 Loss_G: 0.015410 Loss_D_real: -0.024686 Loss_D_fake -0.006097
[1662/5000][20/535][171521] Loss_D: -0.019060 Loss_G: 0.011623 Loss_D_real: -0.011094 Loss_D_fake 0.007966
[1662/5000][25/535][171522] Loss_D: -0.017754 Loss_G: 0.016128 Loss_D_real: -0.005525 Loss_D_fake 0.012228
[1662/5000][30/535][171523] Loss_D: -0.018793 Loss_G: -0.000707 Loss_D_real: -0.008133 Loss_D_fake 0.010660
[1662/5000][35/535][171524] Loss_D: -0.019375 Loss_G: 0.018075 Loss_D_real: -0.025166 Loss_D_fake -0.005792
[1662/5000][40/535][171525] Loss_D: -0.018944 Loss_G: -0.003791 Loss_D_real: -0.018889 Loss_D_fake 0.000055
[1662/5000][45/535][171526] Loss_D: -0.019456 Loss_G: 0.002431 Loss_D_real: -0.021547 Loss_D_fake -0.002091
[1662/5000][50/535][171527] Loss_D: -0.019363 Loss_G: -0.006674 Loss_D_real: -0.003206 Loss_D_fake 0.016157
[1662/5000][55/535][171528] Loss_D: -0.018448 Loss_G: 0.019129 Loss_D_real: -0.023804 Loss_D_fake -0.005356
[1662/5000][60/535][171529] Loss_D: -0.019277 Loss_G: 0.010326 Loss_D_real: -0.019507 Loss_D_fake -0.000230
[1662/5000][65/535][171530] Loss_D: -0.019522 Loss_G: -0.011257 Loss_D_real: -0.011626 Loss_D_fake 0.007896
[1662/5000][70/535][171531] Loss_D: -0.017740 Loss_G: 0.009504 Loss_D_real: -0.012958 Loss_D_fake 0.004782
[1662/5000][75/535][171532] Loss_D: -0.018935 Loss_G: -0.009944 Loss_D_real: -0.008817 Loss_D_fake 0.010118
[1662/5000][80/535][171533] Loss_D: -0.017930 Loss_G: -0.005274 Loss_D_real: -0.011080 Loss_D_fake 0.006851
[1662/5000][85/535][171534] Loss_D: -0.019312 Loss_G: 0.004144 Loss_D_real: -0.009734 Loss_D_fake 0.009578
[1662/5000][90/535][171535] Loss_D: -0.018250 Loss_G: 0.022855 Loss_D_real: -0.028648 Loss_D_fake -0.010398
[1662/5000][95/535][171536] Loss_D: -0.020101 Loss_G: -0.002247 Loss_D_real: -0.005066 Loss_D_fake 0.015035
[1662/5000][100/535][171537] Loss_D: -0.018877 Loss_G: 0.017672 Loss_D_real: -0.017796 Loss_D_fake 0.001081
[1662/5000][105/535][171538] Loss_D: -0.018312 Loss_G: 0.009383 Loss_D_real: -0.030460 Loss_D_fake -0.012148
[1662/5000][110/535][171539] Loss_D: -0.019002 Loss_G: -0.009345 Loss_D_real: -0.005151 Loss_D_fake 0.013851
[1662/5000][115/535][171540] Loss_D: -0.018059 Loss_G: 0.013402 Loss_D_real: -0.028066 Loss_D_fake -0.010007
[1662/5000][120/535][171541] Loss_D: -0.018029 Loss_G: -0.011841 Loss_D_real: -0.003518 Loss_D_fake 0.014511
[1662/5000][125/535][171542] Loss_D: -0.018760 Loss_G: -0.011874 Loss_D_real: -0.008460 Loss_D_fake 0.010300
[1662/5000][130/535][171543] Loss_D: -0.018124 Loss_G: 0.021864 Loss_D_real: -0.026729 Loss_D_fake -0.008605
[1662/5000][135/535][171544] Loss_D: -0.018253 Loss_G: 0.026178 Loss_D_real: -0.021427 Loss_D_fake -0.003173
[1662/5000][140/535][171545] Loss_D: -0.019796 Loss_G: 0.013515 Loss_D_real: -0.018769 Loss_D_fake 0.001027
[1662/5000][145/535][171546] Loss_D: -0.018869 Loss_G: 0.019558 Loss_D_real: -0.029829 Loss_D_fake -0.010960
[1662/5000][150/535][171547] Loss_D: -0.020438 Loss_G: -0.011975 Loss_D_real: -0.001000 Loss_D_fake 0.019438
[1662/5000][155/535][171548] Loss_D: -0.018810 Loss_G: -0.004118 Loss_D_real: -0.011193 Loss_D_fake 0.007617
[1662/5000][160/535][171549] Loss_D: -0.019063 Loss_G: 0.006123 Loss_D_real: -0.011706 Loss_D_fake 0.007357
[1662/5000][165/535][171550] Loss_D: -0.018384 Loss_G: 0.012017 Loss_D_real: -0.027638 Loss_D_fake -0.009254
[1662/5000][170/535][171551] Loss_D: -0.019063 Loss_G: 0.003148 Loss_D_real: -0.016218 Loss_D_fake 0.002844
[1662/5000][175/535][171552] Loss_D: -0.019101 Loss_G: -0.010256 Loss_D_real: 0.001867 Loss_D_fake 0.020969
[1662/5000][180/535][171553] Loss_D: -0.017465 Loss_G: -0.011503 Loss_D_real: -0.006706 Loss_D_fake 0.010759
[1662/5000][185/535][171554] Loss_D: -0.017538 Loss_G: -0.005246 Loss_D_real: -0.013973 Loss_D_fake 0.003565
[1662/5000][190/535][171555] Loss_D: -0.019381 Loss_G: 0.019041 Loss_D_real: -0.016465 Loss_D_fake 0.002917
[1662/5000][195/535][171556] Loss_D: -0.019093 Loss_G: 0.015275 Loss_D_real: -0.016769 Loss_D_fake 0.002325
[1662/5000][200/535][171557] Loss_D: -0.019728 Loss_G: 0.007590 Loss_D_real: -0.018815 Loss_D_fake 0.000913
[1662/5000][205/535][171558] Loss_D: -0.017925 Loss_G: 0.013097 Loss_D_real: 0.001986 Loss_D_fake 0.019911
[1662/5000][210/535][171559] Loss_D: -0.017947 Loss_G: 0.003514 Loss_D_real: -0.013330 Loss_D_fake 0.004617
[1662/5000][215/535][171560] Loss_D: -0.016268 Loss_G: -0.009093 Loss_D_real: -0.010587 Loss_D_fake 0.005681
[1662/5000][220/535][171561] Loss_D: -0.019326 Loss_G: 0.010695 Loss_D_real: -0.011711 Loss_D_fake 0.007614
[1662/5000][225/535][171562] Loss_D: -0.018822 Loss_G: -0.000251 Loss_D_real: -0.013289 Loss_D_fake 0.005533
[1662/5000][230/535][171563] Loss_D: -0.018416 Loss_G: 0.002605 Loss_D_real: -0.018995 Loss_D_fake -0.000579
[1662/5000][235/535][171564] Loss_D: -0.018349 Loss_G: 0.010950 Loss_D_real: -0.017430 Loss_D_fake 0.000919
[1662/5000][240/535][171565] Loss_D: -0.019463 Loss_G: 0.000323 Loss_D_real: -0.000899 Loss_D_fake 0.018564
[1662/5000][245/535][171566] Loss_D: -0.020000 Loss_G: -0.004888 Loss_D_real: -0.018734 Loss_D_fake 0.001266
[1662/5000][250/535][171567] Loss_D: -0.020119 Loss_G: 0.001045 Loss_D_real: -0.028848 Loss_D_fake -0.008729
[1662/5000][255/535][171568] Loss_D: -0.019622 Loss_G: 0.004785 Loss_D_real: -0.009146 Loss_D_fake 0.010477
[1662/5000][260/535][171569] Loss_D: -0.018340 Loss_G: 0.015957 Loss_D_real: -0.024506 Loss_D_fake -0.006166
[1662/5000][265/535][171570] Loss_D: -0.017968 Loss_G: -0.017891 Loss_D_real: 0.003395 Loss_D_fake 0.021363
[1662/5000][270/535][171571] Loss_D: -0.019308 Loss_G: 0.017957 Loss_D_real: -0.017320 Loss_D_fake 0.001988
[1662/5000][275/535][171572] Loss_D: -0.018154 Loss_G: 0.013089 Loss_D_real: -0.013059 Loss_D_fake 0.005096
[1662/5000][280/535][171573] Loss_D: -0.018514 Loss_G: -0.003839 Loss_D_real: -0.006051 Loss_D_fake 0.012463
[1662/5000][285/535][171574] Loss_D: -0.019293 Loss_G: 0.009096 Loss_D_real: -0.013727 Loss_D_fake 0.005566
[1662/5000][290/535][171575] Loss_D: -0.017033 Loss_G: 0.027584 Loss_D_real: -0.027885 Loss_D_fake -0.010852
[1662/5000][295/535][171576] Loss_D: -0.019043 Loss_G: 0.018935 Loss_D_real: -0.015377 Loss_D_fake 0.003666
[1662/5000][300/535][171577] Loss_D: -0.018262 Loss_G: 0.006630 Loss_D_real: -0.015760 Loss_D_fake 0.002502
[1662/5000][305/535][171578] Loss_D: -0.018526 Loss_G: 0.014243 Loss_D_real: -0.025261 Loss_D_fake -0.006734
[1662/5000][310/535][171579] Loss_D: -0.019478 Loss_G: -0.006887 Loss_D_real: 0.001755 Loss_D_fake 0.021233
[1662/5000][315/535][171580] Loss_D: -0.019574 Loss_G: 0.006736 Loss_D_real: -0.022677 Loss_D_fake -0.003103
[1662/5000][320/535][171581] Loss_D: -0.020276 Loss_G: 0.007625 Loss_D_real: -0.016929 Loss_D_fake 0.003348
[1662/5000][325/535][171582] Loss_D: -0.020029 Loss_G: 0.013532 Loss_D_real: -0.013259 Loss_D_fake 0.006770
[1662/5000][330/535][171583] Loss_D: -0.017147 Loss_G: 0.024955 Loss_D_real: -0.027874 Loss_D_fake -0.010727
[1662/5000][335/535][171584] Loss_D: -0.019004 Loss_G: -0.000213 Loss_D_real: -0.014050 Loss_D_fake 0.004954
[1662/5000][340/535][171585] Loss_D: -0.016908 Loss_G: 0.027375 Loss_D_real: -0.035556 Loss_D_fake -0.018647
[1662/5000][345/535][171586] Loss_D: -0.019645 Loss_G: 0.001118 Loss_D_real: -0.010328 Loss_D_fake 0.009317
[1662/5000][350/535][171587] Loss_D: -0.019497 Loss_G: 0.007150 Loss_D_real: -0.016901 Loss_D_fake 0.002596
[1662/5000][355/535][171588] Loss_D: -0.020215 Loss_G: 0.010861 Loss_D_real: -0.029863 Loss_D_fake -0.009649
[1662/5000][360/535][171589] Loss_D: -0.019854 Loss_G: 0.001026 Loss_D_real: -0.013546 Loss_D_fake 0.006307
[1662/5000][365/535][171590] Loss_D: -0.019331 Loss_G: 0.009614 Loss_D_real: -0.014388 Loss_D_fake 0.004944
[1662/5000][370/535][171591] Loss_D: -0.018548 Loss_G: 0.012361 Loss_D_real: -0.016977 Loss_D_fake 0.001571
[1662/5000][375/535][171592] Loss_D: -0.019899 Loss_G: 0.007001 Loss_D_real: -0.010033 Loss_D_fake 0.009865
[1662/5000][380/535][171593] Loss_D: -0.020289 Loss_G: -0.019006 Loss_D_real: -0.006114 Loss_D_fake 0.014175
[1662/5000][385/535][171594] Loss_D: -0.018104 Loss_G: 0.024376 Loss_D_real: -0.030505 Loss_D_fake -0.012401
[1662/5000][390/535][171595] Loss_D: -0.018157 Loss_G: -0.006553 Loss_D_real: -0.008677 Loss_D_fake 0.009480
[1662/5000][395/535][171596] Loss_D: -0.019251 Loss_G: 0.023139 Loss_D_real: -0.013820 Loss_D_fake 0.005431
[1662/5000][400/535][171597] Loss_D: -0.018466 Loss_G: 0.022668 Loss_D_real: -0.026150 Loss_D_fake -0.007684
[1662/5000][405/535][171598] Loss_D: -0.018101 Loss_G: 0.014978 Loss_D_real: -0.027832 Loss_D_fake -0.009731
[1662/5000][410/535][171599] Loss_D: -0.018740 Loss_G: -0.009501 Loss_D_real: -0.000422 Loss_D_fake 0.018318
[1662/5000][415/535][171600] Loss_D: -0.019303 Loss_G: 0.001463 Loss_D_real: -0.005030 Loss_D_fake 0.014273
[1662/5000][420/535][171601] Loss_D: -0.018079 Loss_G: 0.018616 Loss_D_real: -0.029478 Loss_D_fake -0.011399
[1662/5000][425/535][171602] Loss_D: -0.018952 Loss_G: 0.009133 Loss_D_real: -0.012799 Loss_D_fake 0.006153
[1662/5000][430/535][171603] Loss_D: -0.018481 Loss_G: 0.011655 Loss_D_real: -0.015153 Loss_D_fake 0.003328
[1662/5000][435/535][171604] Loss_D: -0.020123 Loss_G: 0.013405 Loss_D_real: -0.009409 Loss_D_fake 0.010714
[1662/5000][440/535][171605] Loss_D: -0.020006 Loss_G: -0.002733 Loss_D_real: -0.002449 Loss_D_fake 0.017558
[1662/5000][445/535][171606] Loss_D: -0.018256 Loss_G: 0.017766 Loss_D_real: -0.012291 Loss_D_fake 0.005965
[1662/5000][450/535][171607] Loss_D: -0.018978 Loss_G: -0.004195 Loss_D_real: -0.010029 Loss_D_fake 0.008949
[1662/5000][455/535][171608] Loss_D: -0.019215 Loss_G: 0.005176 Loss_D_real: -0.020054 Loss_D_fake -0.000839
[1662/5000][460/535][171609] Loss_D: -0.019168 Loss_G: 0.016511 Loss_D_real: -0.029027 Loss_D_fake -0.009859
[1662/5000][465/535][171610] Loss_D: -0.018097 Loss_G: -0.008148 Loss_D_real: 0.005173 Loss_D_fake 0.023270
[1662/5000][470/535][171611] Loss_D: -0.019187 Loss_G: -0.006693 Loss_D_real: -0.011187 Loss_D_fake 0.008000
[1662/5000][475/535][171612] Loss_D: -0.019353 Loss_G: 0.013255 Loss_D_real: -0.016834 Loss_D_fake 0.002518
[1662/5000][480/535][171613] Loss_D: -0.019739 Loss_G: -0.005202 Loss_D_real: -0.022900 Loss_D_fake -0.003161
[1662/5000][485/535][171614] Loss_D: -0.019149 Loss_G: 0.004632 Loss_D_real: -0.006958 Loss_D_fake 0.012191
[1662/5000][490/535][171615] Loss_D: -0.019393 Loss_G: 0.002693 Loss_D_real: -0.004124 Loss_D_fake 0.015268
[1662/5000][495/535][171616] Loss_D: -0.019810 Loss_G: 0.009898 Loss_D_real: -0.015513 Loss_D_fake 0.004298
[1662/5000][500/535][171617] Loss_D: -0.018128 Loss_G: 0.024987 Loss_D_real: -0.025375 Loss_D_fake -0.007247
[1662/5000][505/535][171618] Loss_D: -0.020048 Loss_G: 0.007730 Loss_D_real: -0.021644 Loss_D_fake -0.001597
[1662/5000][510/535][171619] Loss_D: -0.019184 Loss_G: 0.000546 Loss_D_real: -0.013589 Loss_D_fake 0.005595
[1662/5000][515/535][171620] Loss_D: -0.018511 Loss_G: 0.015021 Loss_D_real: -0.020014 Loss_D_fake -0.001503
[1662/5000][520/535][171621] Loss_D: -0.017910 Loss_G: -0.015730 Loss_D_real: 0.004232 Loss_D_fake 0.022142
[1662/5000][525/535][171622] Loss_D: -0.019704 Loss_G: -0.004090 Loss_D_real: -0.011761 Loss_D_fake 0.007943
[1662/5000][530/535][171623] Loss_D: -0.018782 Loss_G: -0.006004 Loss_D_real: -0.009886 Loss_D_fake 0.008896
[1662/5000][535/535][171624] Loss_D: -0.018097 Loss_G: 0.018951 Loss_D_real: -0.024481 Loss_D_fake -0.006384
[1663/5000][5/535][171625] Loss_D: -0.017925 Loss_G: 0.008417 Loss_D_real: -0.019299 Loss_D_fake -0.001374
[1663/5000][10/535][171626] Loss_D: -0.018812 Loss_G: 0.004692 Loss_D_real: -0.009192 Loss_D_fake 0.009620
[1663/5000][15/535][171627] Loss_D: -0.018786 Loss_G: 0.019023 Loss_D_real: -0.026307 Loss_D_fake -0.007521
[1663/5000][20/535][171628] Loss_D: -0.019104 Loss_G: 0.003009 Loss_D_real: -0.018946 Loss_D_fake 0.000158
[1663/5000][25/535][171629] Loss_D: -0.019564 Loss_G: 0.017206 Loss_D_real: -0.022182 Loss_D_fake -0.002618
[1663/5000][30/535][171630] Loss_D: -0.019572 Loss_G: -0.003288 Loss_D_real: -0.005674 Loss_D_fake 0.013898
[1663/5000][35/535][171631] Loss_D: -0.018942 Loss_G: -0.001170 Loss_D_real: -0.007959 Loss_D_fake 0.010982
[1663/5000][40/535][171632] Loss_D: -0.019281 Loss_G: -0.008357 Loss_D_real: -0.000466 Loss_D_fake 0.018815
[1663/5000][45/535][171633] Loss_D: -0.019878 Loss_G: -0.012780 Loss_D_real: -0.007847 Loss_D_fake 0.012031
[1663/5000][50/535][171634] Loss_D: -0.019551 Loss_G: 0.017523 Loss_D_real: -0.019705 Loss_D_fake -0.000154
[1663/5000][55/535][171635] Loss_D: -0.019903 Loss_G: 0.025396 Loss_D_real: -0.024089 Loss_D_fake -0.004186
[1663/5000][60/535][171636] Loss_D: -0.019290 Loss_G: 0.017032 Loss_D_real: -0.016636 Loss_D_fake 0.002654
[1663/5000][65/535][171637] Loss_D: -0.020137 Loss_G: 0.027471 Loss_D_real: -0.019028 Loss_D_fake 0.001109
[1663/5000][70/535][171638] Loss_D: -0.018364 Loss_G: 0.023226 Loss_D_real: -0.030357 Loss_D_fake -0.011993
[1663/5000][75/535][171639] Loss_D: -0.019883 Loss_G: 0.001958 Loss_D_real: -0.005517 Loss_D_fake 0.014366
[1663/5000][80/535][171640] Loss_D: -0.018587 Loss_G: 0.004273 Loss_D_real: -0.023513 Loss_D_fake -0.004926
[1663/5000][85/535][171641] Loss_D: -0.019958 Loss_G: 0.022610 Loss_D_real: -0.020758 Loss_D_fake -0.000800
[1663/5000][90/535][171642] Loss_D: -0.018849 Loss_G: 0.000075 Loss_D_real: -0.012616 Loss_D_fake 0.006233
[1663/5000][95/535][171643] Loss_D: -0.019749 Loss_G: 0.007154 Loss_D_real: -0.020227 Loss_D_fake -0.000478
[1663/5000][100/535][171644] Loss_D: -0.019836 Loss_G: 0.020518 Loss_D_real: -0.003108 Loss_D_fake 0.016728
[1663/5000][105/535][171645] Loss_D: -0.018753 Loss_G: 0.002681 Loss_D_real: -0.016065 Loss_D_fake 0.002688
[1663/5000][110/535][171646] Loss_D: -0.019080 Loss_G: 0.021780 Loss_D_real: -0.020328 Loss_D_fake -0.001247
[1663/5000][115/535][171647] Loss_D: -0.019646 Loss_G: 0.012342 Loss_D_real: -0.014347 Loss_D_fake 0.005298
[1663/5000][120/535][171648] Loss_D: -0.019240 Loss_G: 0.009024 Loss_D_real: -0.029170 Loss_D_fake -0.009930
[1663/5000][125/535][171649] Loss_D: -0.018218 Loss_G: 0.023746 Loss_D_real: -0.023956 Loss_D_fake -0.005738
[1663/5000][130/535][171650] Loss_D: -0.019589 Loss_G: 0.004170 Loss_D_real: -0.021559 Loss_D_fake -0.001970
[1663/5000][135/535][171651] Loss_D: -0.020045 Loss_G: 0.001917 Loss_D_real: -0.020462 Loss_D_fake -0.000418
[1663/5000][140/535][171652] Loss_D: -0.018059 Loss_G: -0.013364 Loss_D_real: 0.007220 Loss_D_fake 0.025279
[1663/5000][145/535][171653] Loss_D: -0.019620 Loss_G: 0.010967 Loss_D_real: -0.010869 Loss_D_fake 0.008751
[1663/5000][150/535][171654] Loss_D: -0.017215 Loss_G: -0.010049 Loss_D_real: 0.008804 Loss_D_fake 0.026019
[1663/5000][155/535][171655] Loss_D: -0.018759 Loss_G: 0.005867 Loss_D_real: -0.021912 Loss_D_fake -0.003152
[1663/5000][160/535][171656] Loss_D: -0.017302 Loss_G: 0.030192 Loss_D_real: -0.016970 Loss_D_fake 0.000332
[1663/5000][165/535][171657] Loss_D: -0.019039 Loss_G: 0.017290 Loss_D_real: -0.014686 Loss_D_fake 0.004353
[1663/5000][170/535][171658] Loss_D: -0.019048 Loss_G: 0.003630 Loss_D_real: -0.009432 Loss_D_fake 0.009616
[1663/5000][175/535][171659] Loss_D: -0.016458 Loss_G: -0.019754 Loss_D_real: 0.009983 Loss_D_fake 0.026441
[1663/5000][180/535][171660] Loss_D: -0.018710 Loss_G: 0.000959 Loss_D_real: -0.017721 Loss_D_fake 0.000988
[1663/5000][185/535][171661] Loss_D: -0.018807 Loss_G: 0.004148 Loss_D_real: -0.007111 Loss_D_fake 0.011696
[1663/5000][190/535][171662] Loss_D: -0.018646 Loss_G: -0.010227 Loss_D_real: -0.016614 Loss_D_fake 0.002032
[1663/5000][195/535][171663] Loss_D: -0.018136 Loss_G: 0.022644 Loss_D_real: -0.030193 Loss_D_fake -0.012057
[1663/5000][200/535][171664] Loss_D: -0.019233 Loss_G: 0.001749 Loss_D_real: -0.016483 Loss_D_fake 0.002749
[1663/5000][205/535][171665] Loss_D: -0.019256 Loss_G: -0.009125 Loss_D_real: -0.004682 Loss_D_fake 0.014574
[1663/5000][210/535][171666] Loss_D: -0.019556 Loss_G: 0.003311 Loss_D_real: -0.003772 Loss_D_fake 0.015785
[1663/5000][215/535][171667] Loss_D: -0.020016 Loss_G: -0.004421 Loss_D_real: -0.012539 Loss_D_fake 0.007477
[1663/5000][220/535][171668] Loss_D: -0.018447 Loss_G: 0.028204 Loss_D_real: -0.029496 Loss_D_fake -0.011049
[1663/5000][225/535][171669] Loss_D: -0.021166 Loss_G: 0.009622 Loss_D_real: -0.021514 Loss_D_fake -0.000348
[1663/5000][230/535][171670] Loss_D: -0.019551 Loss_G: 0.012745 Loss_D_real: -0.020940 Loss_D_fake -0.001389
[1663/5000][235/535][171671] Loss_D: -0.019656 Loss_G: 0.005282 Loss_D_real: -0.016680 Loss_D_fake 0.002976
[1663/5000][240/535][171672] Loss_D: -0.019329 Loss_G: 0.019806 Loss_D_real: -0.014871 Loss_D_fake 0.004458
[1663/5000][245/535][171673] Loss_D: -0.019522 Loss_G: 0.016129 Loss_D_real: -0.014544 Loss_D_fake 0.004978
[1663/5000][250/535][171674] Loss_D: -0.019367 Loss_G: 0.017964 Loss_D_real: -0.025650 Loss_D_fake -0.006284
[1663/5000][255/535][171675] Loss_D: -0.019349 Loss_G: 0.022104 Loss_D_real: -0.022453 Loss_D_fake -0.003104
[1663/5000][260/535][171676] Loss_D: -0.017600 Loss_G: 0.024184 Loss_D_real: -0.032842 Loss_D_fake -0.015242
[1663/5000][265/535][171677] Loss_D: -0.020492 Loss_G: 0.001304 Loss_D_real: -0.011540 Loss_D_fake 0.008951
[1663/5000][270/535][171678] Loss_D: -0.019582 Loss_G: -0.000443 Loss_D_real: -0.014866 Loss_D_fake 0.004716
[1663/5000][275/535][171679] Loss_D: -0.016613 Loss_G: 0.026301 Loss_D_real: -0.030569 Loss_D_fake -0.013956
[1663/5000][280/535][171680] Loss_D: -0.019069 Loss_G: 0.010852 Loss_D_real: -0.002083 Loss_D_fake 0.016986
[1663/5000][285/535][171681] Loss_D: -0.018800 Loss_G: 0.005143 Loss_D_real: -0.019387 Loss_D_fake -0.000587
[1663/5000][290/535][171682] Loss_D: -0.019418 Loss_G: 0.009112 Loss_D_real: -0.021452 Loss_D_fake -0.002034
[1663/5000][295/535][171683] Loss_D: -0.019170 Loss_G: 0.006251 Loss_D_real: -0.014808 Loss_D_fake 0.004362
[1663/5000][300/535][171684] Loss_D: -0.018527 Loss_G: 0.010462 Loss_D_real: -0.023850 Loss_D_fake -0.005322
[1663/5000][305/535][171685] Loss_D: -0.019262 Loss_G: -0.005835 Loss_D_real: -0.009063 Loss_D_fake 0.010199
[1663/5000][310/535][171686] Loss_D: -0.018398 Loss_G: 0.006630 Loss_D_real: -0.010987 Loss_D_fake 0.007411
[1663/5000][315/535][171687] Loss_D: -0.019224 Loss_G: 0.007538 Loss_D_real: -0.013266 Loss_D_fake 0.005958
[1663/5000][320/535][171688] Loss_D: -0.018479 Loss_G: 0.006305 Loss_D_real: -0.016810 Loss_D_fake 0.001669
[1663/5000][325/535][171689] Loss_D: -0.018236 Loss_G: 0.022795 Loss_D_real: -0.021076 Loss_D_fake -0.002840
[1663/5000][330/535][171690] Loss_D: -0.017920 Loss_G: -0.008394 Loss_D_real: -0.014301 Loss_D_fake 0.003619
[1663/5000][335/535][171691] Loss_D: -0.020002 Loss_G: -0.005561 Loss_D_real: -0.007430 Loss_D_fake 0.012572
[1663/5000][340/535][171692] Loss_D: -0.017675 Loss_G: 0.028323 Loss_D_real: -0.023578 Loss_D_fake -0.005903
[1663/5000][345/535][171693] Loss_D: -0.018074 Loss_G: -0.022117 Loss_D_real: -0.000841 Loss_D_fake 0.017233
[1663/5000][350/535][171694] Loss_D: -0.019288 Loss_G: -0.003005 Loss_D_real: -0.014726 Loss_D_fake 0.004561
[1663/5000][355/535][171695] Loss_D: -0.019139 Loss_G: -0.007186 Loss_D_real: 0.000334 Loss_D_fake 0.019473
[1663/5000][360/535][171696] Loss_D: -0.020197 Loss_G: 0.019572 Loss_D_real: -0.025081 Loss_D_fake -0.004884
[1663/5000][365/535][171697] Loss_D: -0.018179 Loss_G: 0.029723 Loss_D_real: -0.028347 Loss_D_fake -0.010168
[1663/5000][370/535][171698] Loss_D: -0.019289 Loss_G: -0.004237 Loss_D_real: -0.011749 Loss_D_fake 0.007539
[1663/5000][375/535][171699] Loss_D: -0.019120 Loss_G: 0.023377 Loss_D_real: -0.025759 Loss_D_fake -0.006638
[1663/5000][380/535][171700] Loss_D: -0.018956 Loss_G: -0.010582 Loss_D_real: -0.008864 Loss_D_fake 0.010092
[1663/5000][385/535][171701] Loss_D: -0.018636 Loss_G: 0.022520 Loss_D_real: -0.030386 Loss_D_fake -0.011749
[1663/5000][390/535][171702] Loss_D: -0.018955 Loss_G: 0.000562 Loss_D_real: -0.013487 Loss_D_fake 0.005468
[1663/5000][395/535][171703] Loss_D: -0.020096 Loss_G: -0.008464 Loss_D_real: -0.008814 Loss_D_fake 0.011282
[1663/5000][400/535][171704] Loss_D: -0.018902 Loss_G: 0.010398 Loss_D_real: -0.016175 Loss_D_fake 0.002727
[1663/5000][405/535][171705] Loss_D: -0.018969 Loss_G: 0.015142 Loss_D_real: -0.019042 Loss_D_fake -0.000073
[1663/5000][410/535][171706] Loss_D: -0.019527 Loss_G: 0.025067 Loss_D_real: -0.027089 Loss_D_fake -0.007562
[1663/5000][415/535][171707] Loss_D: -0.020300 Loss_G: -0.006698 Loss_D_real: -0.023593 Loss_D_fake -0.003293
[1663/5000][420/535][171708] Loss_D: -0.018265 Loss_G: -0.004437 Loss_D_real: -0.014857 Loss_D_fake 0.003408
[1663/5000][425/535][171709] Loss_D: -0.019285 Loss_G: 0.014356 Loss_D_real: -0.018017 Loss_D_fake 0.001268
[1663/5000][430/535][171710] Loss_D: -0.018622 Loss_G: 0.013734 Loss_D_real: -0.014817 Loss_D_fake 0.003805
[1663/5000][435/535][171711] Loss_D: -0.017119 Loss_G: 0.025650 Loss_D_real: -0.023728 Loss_D_fake -0.006610
[1663/5000][440/535][171712] Loss_D: -0.019921 Loss_G: 0.008081 Loss_D_real: -0.011850 Loss_D_fake 0.008071
[1663/5000][445/535][171713] Loss_D: -0.018647 Loss_G: 0.007834 Loss_D_real: -0.006738 Loss_D_fake 0.011908
[1663/5000][450/535][171714] Loss_D: -0.019392 Loss_G: -0.003886 Loss_D_real: -0.009926 Loss_D_fake 0.009466
[1663/5000][455/535][171715] Loss_D: -0.019661 Loss_G: 0.008197 Loss_D_real: -0.009464 Loss_D_fake 0.010197
[1663/5000][460/535][171716] Loss_D: -0.018333 Loss_G: 0.017827 Loss_D_real: -0.014157 Loss_D_fake 0.004176
[1663/5000][465/535][171717] Loss_D: -0.019110 Loss_G: 0.015388 Loss_D_real: -0.022372 Loss_D_fake -0.003262
[1663/5000][470/535][171718] Loss_D: -0.019741 Loss_G: -0.007715 Loss_D_real: -0.011981 Loss_D_fake 0.007760
[1663/5000][475/535][171719] Loss_D: -0.018332 Loss_G: 0.025168 Loss_D_real: -0.032509 Loss_D_fake -0.014177
[1663/5000][480/535][171720] Loss_D: -0.018981 Loss_G: -0.013733 Loss_D_real: 0.000571 Loss_D_fake 0.019552
[1663/5000][485/535][171721] Loss_D: -0.018233 Loss_G: 0.004964 Loss_D_real: -0.005117 Loss_D_fake 0.013115
[1663/5000][490/535][171722] Loss_D: -0.018711 Loss_G: 0.005874 Loss_D_real: -0.024678 Loss_D_fake -0.005968
[1663/5000][495/535][171723] Loss_D: -0.018180 Loss_G: 0.026641 Loss_D_real: -0.024325 Loss_D_fake -0.006145
[1663/5000][500/535][171724] Loss_D: -0.018730 Loss_G: 0.013645 Loss_D_real: -0.026620 Loss_D_fake -0.007890
[1663/5000][505/535][171725] Loss_D: -0.018270 Loss_G: -0.015991 Loss_D_real: 0.005752 Loss_D_fake 0.024022
[1663/5000][510/535][171726] Loss_D: -0.019045 Loss_G: 0.002224 Loss_D_real: -0.007919 Loss_D_fake 0.011126
[1663/5000][515/535][171727] Loss_D: -0.019355 Loss_G: 0.007519 Loss_D_real: -0.022493 Loss_D_fake -0.003138
[1663/5000][520/535][171728] Loss_D: -0.019040 Loss_G: 0.015539 Loss_D_real: -0.031683 Loss_D_fake -0.012643
[1663/5000][525/535][171729] Loss_D: -0.019018 Loss_G: 0.012397 Loss_D_real: -0.015529 Loss_D_fake 0.003489
[1663/5000][530/535][171730] Loss_D: -0.019171 Loss_G: -0.004376 Loss_D_real: -0.010688 Loss_D_fake 0.008483
[1663/5000][535/535][171731] Loss_D: -0.020989 Loss_G: 0.023960 Loss_D_real: -0.015535 Loss_D_fake 0.005454
[1664/5000][5/535][171732] Loss_D: -0.018911 Loss_G: -0.009988 Loss_D_real: -0.003515 Loss_D_fake 0.015396
[1664/5000][10/535][171733] Loss_D: -0.019871 Loss_G: 0.001794 Loss_D_real: -0.006356 Loss_D_fake 0.013515
[1664/5000][15/535][171734] Loss_D: -0.020062 Loss_G: -0.002740 Loss_D_real: -0.013892 Loss_D_fake 0.006170
[1664/5000][20/535][171735] Loss_D: -0.016955 Loss_G: -0.014029 Loss_D_real: 0.000853 Loss_D_fake 0.017808
[1664/5000][25/535][171736] Loss_D: -0.016871 Loss_G: -0.014909 Loss_D_real: -0.016014 Loss_D_fake 0.000857
[1664/5000][30/535][171737] Loss_D: -0.019213 Loss_G: 0.019544 Loss_D_real: -0.015591 Loss_D_fake 0.003622
[1664/5000][35/535][171738] Loss_D: -0.019273 Loss_G: 0.010243 Loss_D_real: -0.014458 Loss_D_fake 0.004814
[1664/5000][40/535][171739] Loss_D: -0.018482 Loss_G: 0.015269 Loss_D_real: -0.020241 Loss_D_fake -0.001759
[1664/5000][45/535][171740] Loss_D: -0.019864 Loss_G: -0.006697 Loss_D_real: -0.019245 Loss_D_fake 0.000618
[1664/5000][50/535][171741] Loss_D: -0.019594 Loss_G: -0.009934 Loss_D_real: -0.018831 Loss_D_fake 0.000763
[1664/5000][55/535][171742] Loss_D: -0.018913 Loss_G: 0.012971 Loss_D_real: -0.017601 Loss_D_fake 0.001311
[1664/5000][60/535][171743] Loss_D: -0.019180 Loss_G: 0.005708 Loss_D_real: -0.016677 Loss_D_fake 0.002503
[1664/5000][65/535][171744] Loss_D: -0.020155 Loss_G: 0.002529 Loss_D_real: -0.005578 Loss_D_fake 0.014577
[1664/5000][70/535][171745] Loss_D: -0.018743 Loss_G: 0.030142 Loss_D_real: -0.020824 Loss_D_fake -0.002081
[1664/5000][75/535][171746] Loss_D: -0.019174 Loss_G: 0.014442 Loss_D_real: -0.030029 Loss_D_fake -0.010855
[1664/5000][80/535][171747] Loss_D: -0.020033 Loss_G: 0.009775 Loss_D_real: -0.025864 Loss_D_fake -0.005831
[1664/5000][85/535][171748] Loss_D: -0.020365 Loss_G: 0.007333 Loss_D_real: -0.027677 Loss_D_fake -0.007312
[1664/5000][90/535][171749] Loss_D: -0.021050 Loss_G: 0.000718 Loss_D_real: -0.025752 Loss_D_fake -0.004702
[1664/5000][95/535][171750] Loss_D: -0.019201 Loss_G: -0.006010 Loss_D_real: 0.004137 Loss_D_fake 0.023338
[1664/5000][100/535][171751] Loss_D: -0.020275 Loss_G: 0.003841 Loss_D_real: -0.013657 Loss_D_fake 0.006617
[1664/5000][105/535][171752] Loss_D: -0.018839 Loss_G: 0.011757 Loss_D_real: -0.019643 Loss_D_fake -0.000804
[1664/5000][110/535][171753] Loss_D: -0.018776 Loss_G: 0.017864 Loss_D_real: -0.027759 Loss_D_fake -0.008983
[1664/5000][115/535][171754] Loss_D: -0.019071 Loss_G: 0.012416 Loss_D_real: -0.018574 Loss_D_fake 0.000497
[1664/5000][120/535][171755] Loss_D: -0.019172 Loss_G: 0.007807 Loss_D_real: -0.013586 Loss_D_fake 0.005586
[1664/5000][125/535][171756] Loss_D: -0.019220 Loss_G: 0.009862 Loss_D_real: -0.019037 Loss_D_fake 0.000183
[1664/5000][130/535][171757] Loss_D: -0.020544 Loss_G: 0.005778 Loss_D_real: -0.024410 Loss_D_fake -0.003866
[1664/5000][135/535][171758] Loss_D: -0.018719 Loss_G: 0.010311 Loss_D_real: -0.008322 Loss_D_fake 0.010397
[1664/5000][140/535][171759] Loss_D: -0.019428 Loss_G: 0.019870 Loss_D_real: -0.032818 Loss_D_fake -0.013391
[1664/5000][145/535][171760] Loss_D: -0.021064 Loss_G: 0.011154 Loss_D_real: 0.004901 Loss_D_fake 0.025964
[1664/5000][150/535][171761] Loss_D: -0.017728 Loss_G: -0.007391 Loss_D_real: -0.004265 Loss_D_fake 0.013463
[1664/5000][155/535][171762] Loss_D: -0.018972 Loss_G: 0.015441 Loss_D_real: -0.022173 Loss_D_fake -0.003202
[1664/5000][160/535][171763] Loss_D: -0.019878 Loss_G: 0.013370 Loss_D_real: -0.020008 Loss_D_fake -0.000130
[1664/5000][165/535][171764] Loss_D: -0.019098 Loss_G: 0.024485 Loss_D_real: -0.018079 Loss_D_fake 0.001019
[1664/5000][170/535][171765] Loss_D: -0.019438 Loss_G: -0.013248 Loss_D_real: -0.008982 Loss_D_fake 0.010455
[1664/5000][175/535][171766] Loss_D: -0.016202 Loss_G: 0.019962 Loss_D_real: -0.022075 Loss_D_fake -0.005873
[1664/5000][180/535][171767] Loss_D: -0.017145 Loss_G: -0.017752 Loss_D_real: 0.005221 Loss_D_fake 0.022366
[1664/5000][185/535][171768] Loss_D: -0.019083 Loss_G: 0.011766 Loss_D_real: -0.012835 Loss_D_fake 0.006247
[1664/5000][190/535][171769] Loss_D: -0.017537 Loss_G: 0.002659 Loss_D_real: -0.022711 Loss_D_fake -0.005173
[1664/5000][195/535][171770] Loss_D: -0.020245 Loss_G: -0.001333 Loss_D_real: -0.013487 Loss_D_fake 0.006757
[1664/5000][200/535][171771] Loss_D: -0.019816 Loss_G: -0.006945 Loss_D_real: -0.008803 Loss_D_fake 0.011013
[1664/5000][205/535][171772] Loss_D: -0.018550 Loss_G: 0.023727 Loss_D_real: -0.025136 Loss_D_fake -0.006586
[1664/5000][210/535][171773] Loss_D: -0.018188 Loss_G: -0.000802 Loss_D_real: -0.000195 Loss_D_fake 0.017993
[1664/5000][215/535][171774] Loss_D: -0.018439 Loss_G: 0.010554 Loss_D_real: -0.013869 Loss_D_fake 0.004570
[1664/5000][220/535][171775] Loss_D: -0.019551 Loss_G: -0.009589 Loss_D_real: -0.000739 Loss_D_fake 0.018812
[1664/5000][225/535][171776] Loss_D: -0.017924 Loss_G: 0.003060 Loss_D_real: -0.016923 Loss_D_fake 0.001001
[1664/5000][230/535][171777] Loss_D: -0.018257 Loss_G: 0.014528 Loss_D_real: -0.013367 Loss_D_fake 0.004891
[1664/5000][235/535][171778] Loss_D: -0.018770 Loss_G: 0.025604 Loss_D_real: -0.025783 Loss_D_fake -0.007013
[1664/5000][240/535][171779] Loss_D: -0.018468 Loss_G: 0.017079 Loss_D_real: -0.023806 Loss_D_fake -0.005338
[1664/5000][245/535][171780] Loss_D: -0.018756 Loss_G: 0.004148 Loss_D_real: -0.009661 Loss_D_fake 0.009095
[1664/5000][250/535][171781] Loss_D: -0.019875 Loss_G: 0.010484 Loss_D_real: -0.009168 Loss_D_fake 0.010707
[1664/5000][255/535][171782] Loss_D: -0.019450 Loss_G: 0.003870 Loss_D_real: -0.012346 Loss_D_fake 0.007104
[1664/5000][260/535][171783] Loss_D: -0.018338 Loss_G: -0.003536 Loss_D_real: -0.000900 Loss_D_fake 0.017438
[1664/5000][265/535][171784] Loss_D: -0.017082 Loss_G: -0.000480 Loss_D_real: -0.021545 Loss_D_fake -0.004463
[1664/5000][270/535][171785] Loss_D: -0.018297 Loss_G: -0.011117 Loss_D_real: -0.007380 Loss_D_fake 0.010917
[1664/5000][275/535][171786] Loss_D: -0.019092 Loss_G: 0.009038 Loss_D_real: -0.019675 Loss_D_fake -0.000583
[1664/5000][280/535][171787] Loss_D: -0.019216 Loss_G: 0.005012 Loss_D_real: -0.015800 Loss_D_fake 0.003415
[1664/5000][285/535][171788] Loss_D: -0.020253 Loss_G: 0.014443 Loss_D_real: -0.006625 Loss_D_fake 0.013629
[1664/5000][290/535][171789] Loss_D: -0.018702 Loss_G: -0.004317 Loss_D_real: -0.005525 Loss_D_fake 0.013177
[1664/5000][295/535][171790] Loss_D: -0.019545 Loss_G: -0.003501 Loss_D_real: -0.005259 Loss_D_fake 0.014286
[1664/5000][300/535][171791] Loss_D: -0.020306 Loss_G: 0.021090 Loss_D_real: -0.010162 Loss_D_fake 0.010144
[1664/5000][305/535][171792] Loss_D: -0.017424 Loss_G: 0.032845 Loss_D_real: -0.033033 Loss_D_fake -0.015609
[1664/5000][310/535][171793] Loss_D: -0.018097 Loss_G: -0.011644 Loss_D_real: -0.013223 Loss_D_fake 0.004874
[1664/5000][315/535][171794] Loss_D: -0.018370 Loss_G: 0.007541 Loss_D_real: -0.023249 Loss_D_fake -0.004878
[1664/5000][320/535][171795] Loss_D: -0.018250 Loss_G: -0.012140 Loss_D_real: -0.008536 Loss_D_fake 0.009714
[1664/5000][325/535][171796] Loss_D: -0.018928 Loss_G: 0.004784 Loss_D_real: -0.015047 Loss_D_fake 0.003881
[1664/5000][330/535][171797] Loss_D: -0.020133 Loss_G: 0.010285 Loss_D_real: -0.024826 Loss_D_fake -0.004693
[1664/5000][335/535][171798] Loss_D: -0.019003 Loss_G: 0.013647 Loss_D_real: -0.015583 Loss_D_fake 0.003420
[1664/5000][340/535][171799] Loss_D: -0.018861 Loss_G: -0.015730 Loss_D_real: -0.010560 Loss_D_fake 0.008302
[1664/5000][345/535][171800] Loss_D: -0.019970 Loss_G: 0.002119 Loss_D_real: -0.005342 Loss_D_fake 0.014628
[1664/5000][350/535][171801] Loss_D: -0.018020 Loss_G: 0.021764 Loss_D_real: -0.031101 Loss_D_fake -0.013081
[1664/5000][355/535][171802] Loss_D: -0.017259 Loss_G: -0.015246 Loss_D_real: 0.005579 Loss_D_fake 0.022838
[1664/5000][360/535][171803] Loss_D: -0.018647 Loss_G: 0.006052 Loss_D_real: -0.026888 Loss_D_fake -0.008242
[1664/5000][365/535][171804] Loss_D: -0.017780 Loss_G: 0.000720 Loss_D_real: -0.020316 Loss_D_fake -0.002535
[1664/5000][370/535][171805] Loss_D: -0.018218 Loss_G: 0.023098 Loss_D_real: -0.029686 Loss_D_fake -0.011468
[1664/5000][375/535][171806] Loss_D: -0.019293 Loss_G: 0.015578 Loss_D_real: -0.022625 Loss_D_fake -0.003331
[1664/5000][380/535][171807] Loss_D: -0.017431 Loss_G: 0.019862 Loss_D_real: -0.024090 Loss_D_fake -0.006660
[1664/5000][385/535][171808] Loss_D: -0.018827 Loss_G: -0.001363 Loss_D_real: -0.018004 Loss_D_fake 0.000823
[1664/5000][390/535][171809] Loss_D: -0.019870 Loss_G: -0.002144 Loss_D_real: -0.004419 Loss_D_fake 0.015452
[1664/5000][395/535][171810] Loss_D: -0.019143 Loss_G: 0.006367 Loss_D_real: -0.028102 Loss_D_fake -0.008959
[1664/5000][400/535][171811] Loss_D: -0.019584 Loss_G: -0.013789 Loss_D_real: -0.008160 Loss_D_fake 0.011425
[1664/5000][405/535][171812] Loss_D: -0.018317 Loss_G: 0.013336 Loss_D_real: -0.023466 Loss_D_fake -0.005149
[1664/5000][410/535][171813] Loss_D: -0.019823 Loss_G: 0.001398 Loss_D_real: -0.000320 Loss_D_fake 0.019504
[1664/5000][415/535][171814] Loss_D: -0.018945 Loss_G: 0.003059 Loss_D_real: -0.032043 Loss_D_fake -0.013099
[1664/5000][420/535][171815] Loss_D: -0.019857 Loss_G: 0.008213 Loss_D_real: -0.018246 Loss_D_fake 0.001612
[1664/5000][425/535][171816] Loss_D: -0.018327 Loss_G: 0.014894 Loss_D_real: -0.021191 Loss_D_fake -0.002864
[1664/5000][430/535][171817] Loss_D: -0.018735 Loss_G: -0.002460 Loss_D_real: -0.007514 Loss_D_fake 0.011220
[1664/5000][435/535][171818] Loss_D: -0.018368 Loss_G: -0.010523 Loss_D_real: -0.007754 Loss_D_fake 0.010614
[1664/5000][440/535][171819] Loss_D: -0.019736 Loss_G: 0.005189 Loss_D_real: -0.027254 Loss_D_fake -0.007518
[1664/5000][445/535][171820] Loss_D: -0.019765 Loss_G: 0.000064 Loss_D_real: -0.014464 Loss_D_fake 0.005302
[1664/5000][450/535][171821] Loss_D: -0.020266 Loss_G: 0.028504 Loss_D_real: -0.022292 Loss_D_fake -0.002027
[1664/5000][455/535][171822] Loss_D: -0.019774 Loss_G: 0.010332 Loss_D_real: -0.017287 Loss_D_fake 0.002488
[1664/5000][460/535][171823] Loss_D: -0.017612 Loss_G: 0.005804 Loss_D_real: -0.027539 Loss_D_fake -0.009926
[1664/5000][465/535][171824] Loss_D: -0.019523 Loss_G: 0.003439 Loss_D_real: -0.014243 Loss_D_fake 0.005280
[1664/5000][470/535][171825] Loss_D: -0.019130 Loss_G: 0.012010 Loss_D_real: -0.014560 Loss_D_fake 0.004569
[1664/5000][475/535][171826] Loss_D: -0.020180 Loss_G: 0.009405 Loss_D_real: -0.022950 Loss_D_fake -0.002770
[1664/5000][480/535][171827] Loss_D: -0.019990 Loss_G: -0.000074 Loss_D_real: 0.000822 Loss_D_fake 0.020811
[1664/5000][485/535][171828] Loss_D: -0.018777 Loss_G: 0.013605 Loss_D_real: -0.008497 Loss_D_fake 0.010279
[1664/5000][490/535][171829] Loss_D: -0.020169 Loss_G: 0.010881 Loss_D_real: -0.018189 Loss_D_fake 0.001980
[1664/5000][495/535][171830] Loss_D: -0.019881 Loss_G: 0.010890 Loss_D_real: -0.028575 Loss_D_fake -0.008694
[1664/5000][500/535][171831] Loss_D: -0.020812 Loss_G: 0.002355 Loss_D_real: -0.023423 Loss_D_fake -0.002612
[1664/5000][505/535][171832] Loss_D: -0.018809 Loss_G: 0.000425 Loss_D_real: -0.010485 Loss_D_fake 0.008323
[1664/5000][510/535][171833] Loss_D: -0.019497 Loss_G: -0.011846 Loss_D_real: -0.013823 Loss_D_fake 0.005674
[1664/5000][515/535][171834] Loss_D: -0.019556 Loss_G: 0.008868 Loss_D_real: -0.007217 Loss_D_fake 0.012339
[1664/5000][520/535][171835] Loss_D: -0.020228 Loss_G: 0.003700 Loss_D_real: -0.018005 Loss_D_fake 0.002223
[1664/5000][525/535][171836] Loss_D: -0.019005 Loss_G: 0.017275 Loss_D_real: -0.017059 Loss_D_fake 0.001946
[1664/5000][530/535][171837] Loss_D: -0.018465 Loss_G: 0.014506 Loss_D_real: -0.021712 Loss_D_fake -0.003247
[1664/5000][535/535][171838] Loss_D: -0.017449 Loss_G: -0.015625 Loss_D_real: 0.003402 Loss_D_fake 0.020851
[1665/5000][5/535][171839] Loss_D: -0.016001 Loss_G: 0.000104 Loss_D_real: -0.001495 Loss_D_fake 0.014506
[1665/5000][10/535][171840] Loss_D: -0.018765 Loss_G: 0.011684 Loss_D_real: -0.011272 Loss_D_fake 0.007493
[1665/5000][15/535][171841] Loss_D: -0.019644 Loss_G: 0.011571 Loss_D_real: -0.016685 Loss_D_fake 0.002958
[1665/5000][20/535][171842] Loss_D: -0.018039 Loss_G: 0.012272 Loss_D_real: -0.016845 Loss_D_fake 0.001194
[1665/5000][25/535][171843] Loss_D: -0.016806 Loss_G: 0.018870 Loss_D_real: -0.037549 Loss_D_fake -0.020744
[1665/5000][30/535][171844] Loss_D: -0.018910 Loss_G: 0.004053 Loss_D_real: 0.000130 Loss_D_fake 0.019039
[1665/5000][35/535][171845] Loss_D: -0.019721 Loss_G: 0.016537 Loss_D_real: -0.015789 Loss_D_fake 0.003932
[1665/5000][40/535][171846] Loss_D: -0.019270 Loss_G: 0.004522 Loss_D_real: -0.009352 Loss_D_fake 0.009918
[1665/5000][45/535][171847] Loss_D: -0.020596 Loss_G: -0.004831 Loss_D_real: -0.012130 Loss_D_fake 0.008466
[1665/5000][50/535][171848] Loss_D: -0.020260 Loss_G: 0.019849 Loss_D_real: -0.015178 Loss_D_fake 0.005082
[1665/5000][55/535][171849] Loss_D: -0.019230 Loss_G: 0.001885 Loss_D_real: -0.008152 Loss_D_fake 0.011078
[1665/5000][60/535][171850] Loss_D: -0.019328 Loss_G: 0.010116 Loss_D_real: -0.021343 Loss_D_fake -0.002015
[1665/5000][65/535][171851] Loss_D: -0.017862 Loss_G: -0.008441 Loss_D_real: -0.005281 Loss_D_fake 0.012581
[1665/5000][70/535][171852] Loss_D: -0.019151 Loss_G: 0.004345 Loss_D_real: -0.014049 Loss_D_fake 0.005102
[1665/5000][75/535][171853] Loss_D: -0.018240 Loss_G: 0.022521 Loss_D_real: -0.016496 Loss_D_fake 0.001744
[1665/5000][80/535][171854] Loss_D: -0.017997 Loss_G: -0.003963 Loss_D_real: -0.021097 Loss_D_fake -0.003100
[1665/5000][85/535][171855] Loss_D: -0.018674 Loss_G: -0.005800 Loss_D_real: -0.018376 Loss_D_fake 0.000299
[1665/5000][90/535][171856] Loss_D: -0.019773 Loss_G: -0.001282 Loss_D_real: -0.009685 Loss_D_fake 0.010088
[1665/5000][95/535][171857] Loss_D: -0.017344 Loss_G: 0.014057 Loss_D_real: -0.025591 Loss_D_fake -0.008246
[1665/5000][100/535][171858] Loss_D: -0.018958 Loss_G: 0.003838 Loss_D_real: -0.018005 Loss_D_fake 0.000953
[1665/5000][105/535][171859] Loss_D: -0.019158 Loss_G: 0.007181 Loss_D_real: -0.015247 Loss_D_fake 0.003911
[1665/5000][110/535][171860] Loss_D: -0.018064 Loss_G: 0.023642 Loss_D_real: -0.033213 Loss_D_fake -0.015149
[1665/5000][115/535][171861] Loss_D: -0.018462 Loss_G: 0.004805 Loss_D_real: -0.022317 Loss_D_fake -0.003855
[1665/5000][120/535][171862] Loss_D: -0.019742 Loss_G: 0.014760 Loss_D_real: -0.034948 Loss_D_fake -0.015206
[1665/5000][125/535][171863] Loss_D: -0.020107 Loss_G: 0.011817 Loss_D_real: -0.016708 Loss_D_fake 0.003399
[1665/5000][130/535][171864] Loss_D: -0.020003 Loss_G: 0.012209 Loss_D_real: -0.021466 Loss_D_fake -0.001463
[1665/5000][135/535][171865] Loss_D: -0.018650 Loss_G: 0.009248 Loss_D_real: -0.019369 Loss_D_fake -0.000719
[1665/5000][140/535][171866] Loss_D: -0.019543 Loss_G: -0.012010 Loss_D_real: -0.016109 Loss_D_fake 0.003434
[1665/5000][145/535][171867] Loss_D: -0.018318 Loss_G: 0.019346 Loss_D_real: -0.023934 Loss_D_fake -0.005616
[1665/5000][150/535][171868] Loss_D: -0.018640 Loss_G: 0.007214 Loss_D_real: -0.013476 Loss_D_fake 0.005164
[1665/5000][155/535][171869] Loss_D: -0.018141 Loss_G: 0.021787 Loss_D_real: -0.037724 Loss_D_fake -0.019583
[1665/5000][160/535][171870] Loss_D: -0.019249 Loss_G: 0.010011 Loss_D_real: -0.013858 Loss_D_fake 0.005390
[1665/5000][165/535][171871] Loss_D: -0.019914 Loss_G: 0.013376 Loss_D_real: -0.019112 Loss_D_fake 0.000802
[1665/5000][170/535][171872] Loss_D: -0.018799 Loss_G: 0.008181 Loss_D_real: -0.014753 Loss_D_fake 0.004046
[1665/5000][175/535][171873] Loss_D: -0.018881 Loss_G: 0.005108 Loss_D_real: -0.011147 Loss_D_fake 0.007734
[1665/5000][180/535][171874] Loss_D: -0.018698 Loss_G: 0.009419 Loss_D_real: -0.017075 Loss_D_fake 0.001624
[1665/5000][185/535][171875] Loss_D: -0.019589 Loss_G: -0.003847 Loss_D_real: -0.010961 Loss_D_fake 0.008628
[1665/5000][190/535][171876] Loss_D: -0.018186 Loss_G: 0.021243 Loss_D_real: -0.021616 Loss_D_fake -0.003430
[1665/5000][195/535][171877] Loss_D: -0.018301 Loss_G: -0.000042 Loss_D_real: 0.001095 Loss_D_fake 0.019396
[1665/5000][200/535][171878] Loss_D: -0.019855 Loss_G: -0.001175 Loss_D_real: -0.004942 Loss_D_fake 0.014913
[1665/5000][205/535][171879] Loss_D: -0.019078 Loss_G: 0.011671 Loss_D_real: -0.014949 Loss_D_fake 0.004129
[1665/5000][210/535][171880] Loss_D: -0.018037 Loss_G: 0.001211 Loss_D_real: -0.023808 Loss_D_fake -0.005771
[1665/5000][215/535][171881] Loss_D: -0.019770 Loss_G: 0.012226 Loss_D_real: -0.021097 Loss_D_fake -0.001328
[1665/5000][220/535][171882] Loss_D: -0.019396 Loss_G: 0.005617 Loss_D_real: -0.025510 Loss_D_fake -0.006114
[1665/5000][225/535][171883] Loss_D: -0.018860 Loss_G: 0.020837 Loss_D_real: -0.020098 Loss_D_fake -0.001238
[1665/5000][230/535][171884] Loss_D: -0.019317 Loss_G: 0.026950 Loss_D_real: -0.034435 Loss_D_fake -0.015118
[1665/5000][235/535][171885] Loss_D: -0.020192 Loss_G: 0.000137 Loss_D_real: -0.019134 Loss_D_fake 0.001058
[1665/5000][240/535][171886] Loss_D: -0.020277 Loss_G: -0.005666 Loss_D_real: -0.020159 Loss_D_fake 0.000117
[1665/5000][245/535][171887] Loss_D: -0.019519 Loss_G: -0.002826 Loss_D_real: -0.009707 Loss_D_fake 0.009812
[1665/5000][250/535][171888] Loss_D: -0.018318 Loss_G: 0.019925 Loss_D_real: -0.021881 Loss_D_fake -0.003563
[1665/5000][255/535][171889] Loss_D: -0.018702 Loss_G: 0.003009 Loss_D_real: -0.021411 Loss_D_fake -0.002709
[1665/5000][260/535][171890] Loss_D: -0.017156 Loss_G: -0.024903 Loss_D_real: -0.002320 Loss_D_fake 0.014836
[1665/5000][265/535][171891] Loss_D: -0.018355 Loss_G: 0.020437 Loss_D_real: -0.019105 Loss_D_fake -0.000750
[1665/5000][270/535][171892] Loss_D: -0.018834 Loss_G: -0.000524 Loss_D_real: -0.002458 Loss_D_fake 0.016376
[1665/5000][275/535][171893] Loss_D: -0.018195 Loss_G: 0.020476 Loss_D_real: -0.018010 Loss_D_fake 0.000185
[1665/5000][280/535][171894] Loss_D: -0.017464 Loss_G: 0.003269 Loss_D_real: 0.005168 Loss_D_fake 0.022632
[1665/5000][285/535][171895] Loss_D: -0.018475 Loss_G: -0.009531 Loss_D_real: -0.004346 Loss_D_fake 0.014128
[1665/5000][290/535][171896] Loss_D: -0.017935 Loss_G: 0.008136 Loss_D_real: -0.025052 Loss_D_fake -0.007117
[1665/5000][295/535][171897] Loss_D: -0.019223 Loss_G: 0.009194 Loss_D_real: -0.017342 Loss_D_fake 0.001882
[1665/5000][300/535][171898] Loss_D: -0.018183 Loss_G: -0.012613 Loss_D_real: 0.003128 Loss_D_fake 0.021310
[1665/5000][305/535][171899] Loss_D: -0.019610 Loss_G: 0.007389 Loss_D_real: -0.013816 Loss_D_fake 0.005794
[1665/5000][310/535][171900] Loss_D: -0.018868 Loss_G: -0.005008 Loss_D_real: -0.007260 Loss_D_fake 0.011608
[1665/5000][315/535][171901] Loss_D: -0.018843 Loss_G: 0.003763 Loss_D_real: -0.015581 Loss_D_fake 0.003262
[1665/5000][320/535][171902] Loss_D: -0.018027 Loss_G: 0.006953 Loss_D_real: -0.019720 Loss_D_fake -0.001692
[1665/5000][325/535][171903] Loss_D: -0.019497 Loss_G: 0.004944 Loss_D_real: -0.008941 Loss_D_fake 0.010556
[1665/5000][330/535][171904] Loss_D: -0.018247 Loss_G: 0.038426 Loss_D_real: -0.017683 Loss_D_fake 0.000564
[1665/5000][335/535][171905] Loss_D: -0.018608 Loss_G: 0.014690 Loss_D_real: -0.016270 Loss_D_fake 0.002339
[1665/5000][340/535][171906] Loss_D: -0.017979 Loss_G: -0.005335 Loss_D_real: -0.021651 Loss_D_fake -0.003672
[1665/5000][345/535][171907] Loss_D: -0.017499 Loss_G: -0.002142 Loss_D_real: -0.002548 Loss_D_fake 0.014951
[1665/5000][350/535][171908] Loss_D: -0.018247 Loss_G: -0.000959 Loss_D_real: -0.003109 Loss_D_fake 0.015137
[1665/5000][355/535][171909] Loss_D: -0.017798 Loss_G: 0.004405 Loss_D_real: -0.022867 Loss_D_fake -0.005069
[1665/5000][360/535][171910] Loss_D: -0.017708 Loss_G: 0.016445 Loss_D_real: -0.015512 Loss_D_fake 0.002197
[1665/5000][365/535][171911] Loss_D: -0.017828 Loss_G: -0.011551 Loss_D_real: -0.006573 Loss_D_fake 0.011255
[1665/5000][370/535][171912] Loss_D: -0.017933 Loss_G: -0.016503 Loss_D_real: -0.011404 Loss_D_fake 0.006529
[1665/5000][375/535][171913] Loss_D: -0.021415 Loss_G: 0.014929 Loss_D_real: -0.016876 Loss_D_fake 0.004539
[1665/5000][380/535][171914] Loss_D: -0.017938 Loss_G: -0.003152 Loss_D_real: -0.006052 Loss_D_fake 0.011886
[1665/5000][385/535][171915] Loss_D: -0.017536 Loss_G: 0.008181 Loss_D_real: -0.023286 Loss_D_fake -0.005750
[1665/5000][390/535][171916] Loss_D: -0.017691 Loss_G: -0.001399 Loss_D_real: -0.020739 Loss_D_fake -0.003049
[1665/5000][395/535][171917] Loss_D: -0.018292 Loss_G: 0.007414 Loss_D_real: -0.019961 Loss_D_fake -0.001668
[1665/5000][400/535][171918] Loss_D: -0.018471 Loss_G: 0.019986 Loss_D_real: -0.019436 Loss_D_fake -0.000965
[1665/5000][405/535][171919] Loss_D: -0.018670 Loss_G: -0.001964 Loss_D_real: -0.019766 Loss_D_fake -0.001096
[1665/5000][410/535][171920] Loss_D: -0.018206 Loss_G: 0.005160 Loss_D_real: -0.018290 Loss_D_fake -0.000084
[1665/5000][415/535][171921] Loss_D: -0.020017 Loss_G: 0.014054 Loss_D_real: -0.018911 Loss_D_fake 0.001106
[1665/5000][420/535][171922] Loss_D: -0.019330 Loss_G: 0.033121 Loss_D_real: -0.033700 Loss_D_fake -0.014370
[1665/5000][425/535][171923] Loss_D: -0.018350 Loss_G: 0.011246 Loss_D_real: -0.022406 Loss_D_fake -0.004056
[1665/5000][430/535][171924] Loss_D: -0.020606 Loss_G: -0.014325 Loss_D_real: -0.006649 Loss_D_fake 0.013958
[1665/5000][435/535][171925] Loss_D: -0.018388 Loss_G: 0.022345 Loss_D_real: -0.022445 Loss_D_fake -0.004057
[1665/5000][440/535][171926] Loss_D: -0.017909 Loss_G: 0.018018 Loss_D_real: -0.024335 Loss_D_fake -0.006426
[1665/5000][445/535][171927] Loss_D: -0.020569 Loss_G: 0.004000 Loss_D_real: -0.002503 Loss_D_fake 0.018065
[1665/5000][450/535][171928] Loss_D: -0.018666 Loss_G: 0.022103 Loss_D_real: -0.022969 Loss_D_fake -0.004303
[1665/5000][455/535][171929] Loss_D: -0.019540 Loss_G: 0.012438 Loss_D_real: -0.032919 Loss_D_fake -0.013378
[1665/5000][460/535][171930] Loss_D: -0.019403 Loss_G: 0.004601 Loss_D_real: -0.009621 Loss_D_fake 0.009782
[1665/5000][465/535][171931] Loss_D: -0.018513 Loss_G: 0.015325 Loss_D_real: -0.025981 Loss_D_fake -0.007468
[1665/5000][470/535][171932] Loss_D: -0.019602 Loss_G: 0.011570 Loss_D_real: -0.016112 Loss_D_fake 0.003490
[1665/5000][475/535][171933] Loss_D: -0.019242 Loss_G: 0.007115 Loss_D_real: -0.025901 Loss_D_fake -0.006659
[1665/5000][480/535][171934] Loss_D: -0.017016 Loss_G: 0.023659 Loss_D_real: -0.028472 Loss_D_fake -0.011456
[1665/5000][485/535][171935] Loss_D: -0.018415 Loss_G: 0.013245 Loss_D_real: -0.012464 Loss_D_fake 0.005951
[1665/5000][490/535][171936] Loss_D: -0.020569 Loss_G: -0.008026 Loss_D_real: -0.018296 Loss_D_fake 0.002273
[1665/5000][495/535][171937] Loss_D: -0.019572 Loss_G: 0.001538 Loss_D_real: 0.001814 Loss_D_fake 0.021386
[1665/5000][500/535][171938] Loss_D: -0.018529 Loss_G: 0.015587 Loss_D_real: -0.024054 Loss_D_fake -0.005525
[1665/5000][505/535][171939] Loss_D: -0.018383 Loss_G: -0.004178 Loss_D_real: -0.012436 Loss_D_fake 0.005947
[1665/5000][510/535][171940] Loss_D: -0.018601 Loss_G: -0.001037 Loss_D_real: -0.013904 Loss_D_fake 0.004697
[1665/5000][515/535][171941] Loss_D: -0.017830 Loss_G: 0.025600 Loss_D_real: -0.018345 Loss_D_fake -0.000515
[1665/5000][520/535][171942] Loss_D: -0.019466 Loss_G: 0.008555 Loss_D_real: -0.012119 Loss_D_fake 0.007347
[1665/5000][525/535][171943] Loss_D: -0.019234 Loss_G: 0.014016 Loss_D_real: -0.026313 Loss_D_fake -0.007080
[1665/5000][530/535][171944] Loss_D: -0.018910 Loss_G: 0.003233 Loss_D_real: 0.002369 Loss_D_fake 0.021278
[1665/5000][535/535][171945] Loss_D: -0.018909 Loss_G: -0.004409 Loss_D_real: -0.021134 Loss_D_fake -0.002225
[1666/5000][5/535][171946] Loss_D: -0.018777 Loss_G: 0.003790 Loss_D_real: -0.003868 Loss_D_fake 0.014909
[1666/5000][10/535][171947] Loss_D: -0.019673 Loss_G: 0.012462 Loss_D_real: -0.024231 Loss_D_fake -0.004558
[1666/5000][15/535][171948] Loss_D: -0.018098 Loss_G: 0.017661 Loss_D_real: -0.029833 Loss_D_fake -0.011735
[1666/5000][20/535][171949] Loss_D: -0.018254 Loss_G: 0.013365 Loss_D_real: -0.029764 Loss_D_fake -0.011511
[1666/5000][25/535][171950] Loss_D: -0.019923 Loss_G: 0.004727 Loss_D_real: -0.021776 Loss_D_fake -0.001853
[1666/5000][30/535][171951] Loss_D: -0.018964 Loss_G: 0.005687 Loss_D_real: -0.034472 Loss_D_fake -0.015508
[1666/5000][35/535][171952] Loss_D: -0.019217 Loss_G: -0.007334 Loss_D_real: -0.021920 Loss_D_fake -0.002702
[1666/5000][40/535][171953] Loss_D: -0.019841 Loss_G: 0.004760 Loss_D_real: -0.012915 Loss_D_fake 0.006926
[1666/5000][45/535][171954] Loss_D: -0.017783 Loss_G: 0.029261 Loss_D_real: -0.028807 Loss_D_fake -0.011024
[1666/5000][50/535][171955] Loss_D: -0.019158 Loss_G: 0.023519 Loss_D_real: -0.029474 Loss_D_fake -0.010316
[1666/5000][55/535][171956] Loss_D: -0.018810 Loss_G: 0.001686 Loss_D_real: -0.000976 Loss_D_fake 0.017834
[1666/5000][60/535][171957] Loss_D: -0.017916 Loss_G: -0.004273 Loss_D_real: -0.007916 Loss_D_fake 0.009999
[1666/5000][65/535][171958] Loss_D: -0.019302 Loss_G: 0.002499 Loss_D_real: -0.005052 Loss_D_fake 0.014251
[1666/5000][70/535][171959] Loss_D: -0.017831 Loss_G: 0.015728 Loss_D_real: -0.024050 Loss_D_fake -0.006219
[1666/5000][75/535][171960] Loss_D: -0.018702 Loss_G: -0.001344 Loss_D_real: -0.013515 Loss_D_fake 0.005187
[1666/5000][80/535][171961] Loss_D: -0.018801 Loss_G: 0.004750 Loss_D_real: -0.016734 Loss_D_fake 0.002067
[1666/5000][85/535][171962] Loss_D: -0.019433 Loss_G: 0.006609 Loss_D_real: -0.026136 Loss_D_fake -0.006704
[1666/5000][90/535][171963] Loss_D: -0.018043 Loss_G: 0.002113 Loss_D_real: -0.010325 Loss_D_fake 0.007718
[1666/5000][95/535][171964] Loss_D: -0.018320 Loss_G: 0.005224 Loss_D_real: -0.016098 Loss_D_fake 0.002223
[1666/5000][100/535][171965] Loss_D: -0.017324 Loss_G: 0.020367 Loss_D_real: -0.029447 Loss_D_fake -0.012123
[1666/5000][105/535][171966] Loss_D: -0.018427 Loss_G: 0.009598 Loss_D_real: -0.019528 Loss_D_fake -0.001100
[1666/5000][110/535][171967] Loss_D: -0.018308 Loss_G: 0.024540 Loss_D_real: -0.031314 Loss_D_fake -0.013006
[1666/5000][115/535][171968] Loss_D: -0.019389 Loss_G: -0.004373 Loss_D_real: -0.005877 Loss_D_fake 0.013511
[1666/5000][120/535][171969] Loss_D: -0.018262 Loss_G: -0.005513 Loss_D_real: -0.005300 Loss_D_fake 0.012961
[1666/5000][125/535][171970] Loss_D: -0.018766 Loss_G: 0.004097 Loss_D_real: -0.015951 Loss_D_fake 0.002815
[1666/5000][130/535][171971] Loss_D: -0.017167 Loss_G: 0.013891 Loss_D_real: -0.006227 Loss_D_fake 0.010940
[1666/5000][135/535][171972] Loss_D: -0.019783 Loss_G: 0.010176 Loss_D_real: -0.007235 Loss_D_fake 0.012549
[1666/5000][140/535][171973] Loss_D: -0.020510 Loss_G: 0.005455 Loss_D_real: -0.017698 Loss_D_fake 0.002812
[1666/5000][145/535][171974] Loss_D: -0.019728 Loss_G: 0.002136 Loss_D_real: -0.013477 Loss_D_fake 0.006251
[1666/5000][150/535][171975] Loss_D: -0.018847 Loss_G: 0.009209 Loss_D_real: -0.014460 Loss_D_fake 0.004388
[1666/5000][155/535][171976] Loss_D: -0.018609 Loss_G: -0.001731 Loss_D_real: -0.002554 Loss_D_fake 0.016055
[1666/5000][160/535][171977] Loss_D: -0.018663 Loss_G: 0.003214 Loss_D_real: -0.009951 Loss_D_fake 0.008712
[1666/5000][165/535][171978] Loss_D: -0.018048 Loss_G: 0.020298 Loss_D_real: -0.026252 Loss_D_fake -0.008205
[1666/5000][170/535][171979] Loss_D: -0.018532 Loss_G: 0.001681 Loss_D_real: -0.030302 Loss_D_fake -0.011771
[1666/5000][175/535][171980] Loss_D: -0.018280 Loss_G: 0.018864 Loss_D_real: -0.023107 Loss_D_fake -0.004827
[1666/5000][180/535][171981] Loss_D: -0.018285 Loss_G: -0.004169 Loss_D_real: -0.013375 Loss_D_fake 0.004911
[1666/5000][185/535][171982] Loss_D: -0.018774 Loss_G: 0.020816 Loss_D_real: -0.020285 Loss_D_fake -0.001511
[1666/5000][190/535][171983] Loss_D: -0.017962 Loss_G: 0.016281 Loss_D_real: -0.016864 Loss_D_fake 0.001098
[1666/5000][195/535][171984] Loss_D: -0.019831 Loss_G: -0.010322 Loss_D_real: -0.006947 Loss_D_fake 0.012884
[1666/5000][200/535][171985] Loss_D: -0.018276 Loss_G: 0.028047 Loss_D_real: -0.032122 Loss_D_fake -0.013846
[1666/5000][205/535][171986] Loss_D: -0.020498 Loss_G: 0.020258 Loss_D_real: -0.017305 Loss_D_fake 0.003193
[1666/5000][210/535][171987] Loss_D: -0.018384 Loss_G: 0.012140 Loss_D_real: -0.019307 Loss_D_fake -0.000924
[1666/5000][215/535][171988] Loss_D: -0.018783 Loss_G: 0.005891 Loss_D_real: -0.020019 Loss_D_fake -0.001236
[1666/5000][220/535][171989] Loss_D: -0.018546 Loss_G: 0.003441 Loss_D_real: -0.016564 Loss_D_fake 0.001982
[1666/5000][225/535][171990] Loss_D: -0.018570 Loss_G: -0.009413 Loss_D_real: -0.003480 Loss_D_fake 0.015089
[1666/5000][230/535][171991] Loss_D: -0.017862 Loss_G: 0.016971 Loss_D_real: -0.030863 Loss_D_fake -0.013001
[1666/5000][235/535][171992] Loss_D: -0.017924 Loss_G: 0.008722 Loss_D_real: -0.018863 Loss_D_fake -0.000939
[1666/5000][240/535][171993] Loss_D: -0.018389 Loss_G: 0.002119 Loss_D_real: -0.016955 Loss_D_fake 0.001434
[1666/5000][245/535][171994] Loss_D: -0.020267 Loss_G: 0.006260 Loss_D_real: -0.008418 Loss_D_fake 0.011849
[1666/5000][250/535][171995] Loss_D: -0.019317 Loss_G: 0.000595 Loss_D_real: -0.000665 Loss_D_fake 0.018652
[1666/5000][255/535][171996] Loss_D: -0.020153 Loss_G: 0.014945 Loss_D_real: -0.023821 Loss_D_fake -0.003668
[1666/5000][260/535][171997] Loss_D: -0.019517 Loss_G: -0.013831 Loss_D_real: -0.011546 Loss_D_fake 0.007970
[1666/5000][265/535][171998] Loss_D: -0.020401 Loss_G: 0.022155 Loss_D_real: -0.026062 Loss_D_fake -0.005661
[1666/5000][270/535][171999] Loss_D: -0.018736 Loss_G: 0.019456 Loss_D_real: -0.007940 Loss_D_fake 0.010795
[1666/5000][275/535][172000] Loss_D: -0.018568 Loss_G: 0.016526 Loss_D_real: -0.026011 Loss_D_fake -0.007442
[1666/5000][375/535][172001] Loss_D: -0.022353 Loss_G: -0.023410 Loss_D_real: 0.005285 Loss_D_fake 0.027638
[1666/5000][380/535][172002] Loss_D: -0.016715 Loss_G: 0.008250 Loss_D_real: -0.017935 Loss_D_fake -0.001221
[1666/5000][385/535][172003] Loss_D: -0.018608 Loss_G: 0.001206 Loss_D_real: -0.005876 Loss_D_fake 0.012732
[1666/5000][390/535][172004] Loss_D: -0.017619 Loss_G: 0.003529 Loss_D_real: -0.012214 Loss_D_fake 0.005405
[1666/5000][395/535][172005] Loss_D: -0.017782 Loss_G: 0.008567 Loss_D_real: -0.012185 Loss_D_fake 0.005597
[1666/5000][400/535][172006] Loss_D: -0.017687 Loss_G: -0.013482 Loss_D_real: -0.000922 Loss_D_fake 0.016765
[1666/5000][405/535][172007] Loss_D: -0.016908 Loss_G: 0.023481 Loss_D_real: -0.021699 Loss_D_fake -0.004791
[1666/5000][410/535][172008] Loss_D: -0.018975 Loss_G: 0.001489 Loss_D_real: -0.016278 Loss_D_fake 0.002697
[1666/5000][415/535][172009] Loss_D: -0.017565 Loss_G: 0.028724 Loss_D_real: -0.028416 Loss_D_fake -0.010851
[1666/5000][420/535][172010] Loss_D: -0.017214 Loss_G: 0.000180 Loss_D_real: -0.014361 Loss_D_fake 0.002853
[1666/5000][425/535][172011] Loss_D: -0.018403 Loss_G: 0.014998 Loss_D_real: -0.019023 Loss_D_fake -0.000621
[1666/5000][430/535][172012] Loss_D: -0.018606 Loss_G: -0.013798 Loss_D_real: -0.001376 Loss_D_fake 0.017230
[1666/5000][435/535][172013] Loss_D: -0.017505 Loss_G: 0.023817 Loss_D_real: -0.016349 Loss_D_fake 0.001156
[1666/5000][440/535][172014] Loss_D: -0.018709 Loss_G: 0.013406 Loss_D_real: -0.018593 Loss_D_fake 0.000116
[1666/5000][445/535][172015] Loss_D: -0.019571 Loss_G: 0.000602 Loss_D_real: -0.012869 Loss_D_fake 0.006702
[1666/5000][450/535][172016] Loss_D: -0.020151 Loss_G: -0.006338 Loss_D_real: -0.022928 Loss_D_fake -0.002777
[1666/5000][455/535][172017] Loss_D: -0.017751 Loss_G: -0.000763 Loss_D_real: -0.003388 Loss_D_fake 0.014363
[1666/5000][460/535][172018] Loss_D: -0.019593 Loss_G: -0.014316 Loss_D_real: -0.007271 Loss_D_fake 0.012322
[1666/5000][465/535][172019] Loss_D: -0.018898 Loss_G: 0.014200 Loss_D_real: -0.013380 Loss_D_fake 0.005518
[1666/5000][470/535][172020] Loss_D: -0.018790 Loss_G: 0.006551 Loss_D_real: -0.015352 Loss_D_fake 0.003438
[1666/5000][475/535][172021] Loss_D: -0.018055 Loss_G: -0.011412 Loss_D_real: -0.002061 Loss_D_fake 0.015995
[1666/5000][480/535][172022] Loss_D: -0.018686 Loss_G: 0.015567 Loss_D_real: -0.013714 Loss_D_fake 0.004973
[1666/5000][485/535][172023] Loss_D: -0.018296 Loss_G: 0.005798 Loss_D_real: -0.014095 Loss_D_fake 0.004201
[1666/5000][490/535][172024] Loss_D: -0.018510 Loss_G: 0.022128 Loss_D_real: -0.023595 Loss_D_fake -0.005085
[1666/5000][495/535][172025] Loss_D: -0.020446 Loss_G: -0.006965 Loss_D_real: -0.002803 Loss_D_fake 0.017643
[1666/5000][500/535][172026] Loss_D: -0.017213 Loss_G: -0.001178 Loss_D_real: 0.009059 Loss_D_fake 0.026272
[1666/5000][505/535][172027] Loss_D: -0.020216 Loss_G: 0.000836 Loss_D_real: -0.013322 Loss_D_fake 0.006894
[1666/5000][510/535][172028] Loss_D: -0.018984 Loss_G: 0.005158 Loss_D_real: -0.019516 Loss_D_fake -0.000531
[1666/5000][515/535][172029] Loss_D: -0.020140 Loss_G: 0.020195 Loss_D_real: -0.021316 Loss_D_fake -0.001176
[1666/5000][520/535][172030] Loss_D: -0.017704 Loss_G: 0.009606 Loss_D_real: -0.016448 Loss_D_fake 0.001256
[1666/5000][525/535][172031] Loss_D: -0.018329 Loss_G: 0.007855 Loss_D_real: -0.011383 Loss_D_fake 0.006945
[1666/5000][530/535][172032] Loss_D: -0.018568 Loss_G: 0.007639 Loss_D_real: -0.021932 Loss_D_fake -0.003363
[1666/5000][535/535][172033] Loss_D: -0.021170 Loss_G: 0.011379 Loss_D_real: -0.020469 Loss_D_fake 0.000701
[1667/5000][5/535][172034] Loss_D: -0.020597 Loss_G: 0.016559 Loss_D_real: -0.029134 Loss_D_fake -0.008537
[1667/5000][10/535][172035] Loss_D: -0.019389 Loss_G: 0.011136 Loss_D_real: -0.022141 Loss_D_fake -0.002752
[1667/5000][15/535][172036] Loss_D: -0.019009 Loss_G: -0.007831 Loss_D_real: 0.002039 Loss_D_fake 0.021048
[1667/5000][20/535][172037] Loss_D: -0.018853 Loss_G: 0.016572 Loss_D_real: -0.011576 Loss_D_fake 0.007276
[1667/5000][25/535][172038] Loss_D: -0.018436 Loss_G: 0.010653 Loss_D_real: -0.021496 Loss_D_fake -0.003061
[1667/5000][30/535][172039] Loss_D: -0.018722 Loss_G: 0.021980 Loss_D_real: -0.022212 Loss_D_fake -0.003489
[1667/5000][35/535][172040] Loss_D: -0.018957 Loss_G: -0.004432 Loss_D_real: -0.005993 Loss_D_fake 0.012964
[1667/5000][40/535][172041] Loss_D: -0.020309 Loss_G: 0.019584 Loss_D_real: -0.026817 Loss_D_fake -0.006508
[1667/5000][45/535][172042] Loss_D: -0.018760 Loss_G: -0.010636 Loss_D_real: -0.006051 Loss_D_fake 0.012709
[1667/5000][50/535][172043] Loss_D: -0.018582 Loss_G: 0.017906 Loss_D_real: -0.037051 Loss_D_fake -0.018469
[1667/5000][55/535][172044] Loss_D: -0.018787 Loss_G: 0.018944 Loss_D_real: -0.013334 Loss_D_fake 0.005453
[1667/5000][60/535][172045] Loss_D: -0.019260 Loss_G: -0.001224 Loss_D_real: -0.013275 Loss_D_fake 0.005984
[1667/5000][65/535][172046] Loss_D: -0.018508 Loss_G: -0.010748 Loss_D_real: -0.008020 Loss_D_fake 0.010488
[1667/5000][70/535][172047] Loss_D: -0.020399 Loss_G: 0.002893 Loss_D_real: -0.013795 Loss_D_fake 0.006604
[1667/5000][75/535][172048] Loss_D: -0.017794 Loss_G: 0.015147 Loss_D_real: -0.015750 Loss_D_fake 0.002044
[1667/5000][80/535][172049] Loss_D: -0.018894 Loss_G: -0.000084 Loss_D_real: -0.004896 Loss_D_fake 0.013997
[1667/5000][85/535][172050] Loss_D: -0.018273 Loss_G: 0.015663 Loss_D_real: -0.025906 Loss_D_fake -0.007633
[1667/5000][90/535][172051] Loss_D: -0.018701 Loss_G: 0.009199 Loss_D_real: -0.017526 Loss_D_fake 0.001175
[1667/5000][95/535][172052] Loss_D: -0.017613 Loss_G: 0.016868 Loss_D_real: -0.020863 Loss_D_fake -0.003250
[1667/5000][100/535][172053] Loss_D: -0.019073 Loss_G: 0.003695 Loss_D_real: -0.010570 Loss_D_fake 0.008503
[1667/5000][105/535][172054] Loss_D: -0.018127 Loss_G: -0.009792 Loss_D_real: -0.000676 Loss_D_fake 0.017451
[1667/5000][110/535][172055] Loss_D: -0.020345 Loss_G: 0.010793 Loss_D_real: 0.011197 Loss_D_fake 0.031542
[1667/5000][115/535][172056] Loss_D: -0.017874 Loss_G: -0.009227 Loss_D_real: 0.003043 Loss_D_fake 0.020917
[1667/5000][120/535][172057] Loss_D: -0.019079 Loss_G: 0.009793 Loss_D_real: -0.027019 Loss_D_fake -0.007940
[1667/5000][125/535][172058] Loss_D: -0.018074 Loss_G: 0.010553 Loss_D_real: -0.028302 Loss_D_fake -0.010228
[1667/5000][130/535][172059] Loss_D: -0.019765 Loss_G: 0.003554 Loss_D_real: -0.014827 Loss_D_fake 0.004938
[1667/5000][135/535][172060] Loss_D: -0.019233 Loss_G: 0.021650 Loss_D_real: -0.020763 Loss_D_fake -0.001530
[1667/5000][140/535][172061] Loss_D: -0.018554 Loss_G: 0.011767 Loss_D_real: -0.014086 Loss_D_fake 0.004468
[1667/5000][145/535][172062] Loss_D: -0.018627 Loss_G: -0.001309 Loss_D_real: -0.010894 Loss_D_fake 0.007734
[1667/5000][150/535][172063] Loss_D: -0.017972 Loss_G: 0.008191 Loss_D_real: -0.018946 Loss_D_fake -0.000974
[1667/5000][155/535][172064] Loss_D: -0.018468 Loss_G: 0.017252 Loss_D_real: -0.026927 Loss_D_fake -0.008459
[1667/5000][160/535][172065] Loss_D: -0.019574 Loss_G: 0.000546 Loss_D_real: -0.007984 Loss_D_fake 0.011589
[1667/5000][165/535][172066] Loss_D: -0.017872 Loss_G: 0.020644 Loss_D_real: -0.025271 Loss_D_fake -0.007399
[1667/5000][170/535][172067] Loss_D: -0.019105 Loss_G: 0.006080 Loss_D_real: -0.008589 Loss_D_fake 0.010515
[1667/5000][175/535][172068] Loss_D: -0.018307 Loss_G: 0.021818 Loss_D_real: -0.022892 Loss_D_fake -0.004585
[1667/5000][180/535][172069] Loss_D: -0.017321 Loss_G: 0.001814 Loss_D_real: -0.006336 Loss_D_fake 0.010985
[1667/5000][185/535][172070] Loss_D: -0.019896 Loss_G: 0.010065 Loss_D_real: -0.023134 Loss_D_fake -0.003238
[1667/5000][190/535][172071] Loss_D: -0.019220 Loss_G: -0.000760 Loss_D_real: -0.013620 Loss_D_fake 0.005600
[1667/5000][195/535][172072] Loss_D: -0.019230 Loss_G: -0.009378 Loss_D_real: -0.011367 Loss_D_fake 0.007863
[1667/5000][200/535][172073] Loss_D: -0.019755 Loss_G: -0.002997 Loss_D_real: -0.006847 Loss_D_fake 0.012908
[1667/5000][205/535][172074] Loss_D: -0.019829 Loss_G: 0.013686 Loss_D_real: -0.013914 Loss_D_fake 0.005915
[1667/5000][210/535][172075] Loss_D: -0.018919 Loss_G: 0.023640 Loss_D_real: -0.018224 Loss_D_fake 0.000695
[1667/5000][215/535][172076] Loss_D: -0.018069 Loss_G: 0.026316 Loss_D_real: -0.023415 Loss_D_fake -0.005346
[1667/5000][220/535][172077] Loss_D: -0.016489 Loss_G: 0.019359 Loss_D_real: -0.036076 Loss_D_fake -0.019587
[1667/5000][225/535][172078] Loss_D: -0.019056 Loss_G: 0.020522 Loss_D_real: -0.030241 Loss_D_fake -0.011185
[1667/5000][230/535][172079] Loss_D: -0.018047 Loss_G: -0.005817 Loss_D_real: -0.001399 Loss_D_fake 0.016649
[1667/5000][235/535][172080] Loss_D: -0.018945 Loss_G: 0.018311 Loss_D_real: -0.018929 Loss_D_fake 0.000016
[1667/5000][240/535][172081] Loss_D: -0.018390 Loss_G: 0.015271 Loss_D_real: -0.012049 Loss_D_fake 0.006341
[1667/5000][245/535][172082] Loss_D: -0.019792 Loss_G: -0.005756 Loss_D_real: -0.021487 Loss_D_fake -0.001695
[1667/5000][250/535][172083] Loss_D: -0.018484 Loss_G: 0.016266 Loss_D_real: -0.029331 Loss_D_fake -0.010847
[1667/5000][255/535][172084] Loss_D: -0.016204 Loss_G: -0.009735 Loss_D_real: -0.001980 Loss_D_fake 0.014224
[1667/5000][260/535][172085] Loss_D: -0.019439 Loss_G: -0.005264 Loss_D_real: -0.007689 Loss_D_fake 0.011750
[1667/5000][265/535][172086] Loss_D: -0.017147 Loss_G: 0.024944 Loss_D_real: -0.031643 Loss_D_fake -0.014496
[1667/5000][270/535][172087] Loss_D: -0.018548 Loss_G: 0.012229 Loss_D_real: -0.012171 Loss_D_fake 0.006376
[1667/5000][275/535][172088] Loss_D: -0.017854 Loss_G: 0.004218 Loss_D_real: -0.016599 Loss_D_fake 0.001255
[1667/5000][280/535][172089] Loss_D: -0.019889 Loss_G: -0.015962 Loss_D_real: -0.015037 Loss_D_fake 0.004852
[1667/5000][285/535][172090] Loss_D: -0.018854 Loss_G: 0.006606 Loss_D_real: -0.016678 Loss_D_fake 0.002176
[1667/5000][290/535][172091] Loss_D: -0.018742 Loss_G: -0.003474 Loss_D_real: -0.007461 Loss_D_fake 0.011281
[1667/5000][295/535][172092] Loss_D: -0.018651 Loss_G: 0.028538 Loss_D_real: -0.020297 Loss_D_fake -0.001646
[1667/5000][300/535][172093] Loss_D: -0.018677 Loss_G: -0.003650 Loss_D_real: -0.007534 Loss_D_fake 0.011143
[1667/5000][305/535][172094] Loss_D: -0.014727 Loss_G: 0.030043 Loss_D_real: -0.028572 Loss_D_fake -0.013845
[1667/5000][310/535][172095] Loss_D: -0.018525 Loss_G: 0.006311 Loss_D_real: -0.012271 Loss_D_fake 0.006254
[1667/5000][315/535][172096] Loss_D: -0.018308 Loss_G: 0.018757 Loss_D_real: -0.005537 Loss_D_fake 0.012771
[1667/5000][320/535][172097] Loss_D: -0.019500 Loss_G: 0.010232 Loss_D_real: -0.025016 Loss_D_fake -0.005515
[1667/5000][325/535][172098] Loss_D: -0.019359 Loss_G: 0.002782 Loss_D_real: -0.021098 Loss_D_fake -0.001739
[1667/5000][330/535][172099] Loss_D: -0.018006 Loss_G: -0.002219 Loss_D_real: -0.001981 Loss_D_fake 0.016024
[1667/5000][335/535][172100] Loss_D: -0.021912 Loss_G: 0.006962 Loss_D_real: -0.028136 Loss_D_fake -0.006224
[1667/5000][340/535][172101] Loss_D: -0.018507 Loss_G: -0.005934 Loss_D_real: 0.003283 Loss_D_fake 0.021790
[1667/5000][345/535][172102] Loss_D: -0.019688 Loss_G: 0.010962 Loss_D_real: -0.009034 Loss_D_fake 0.010653
[1667/5000][350/535][172103] Loss_D: -0.018014 Loss_G: 0.022412 Loss_D_real: -0.023459 Loss_D_fake -0.005445
[1667/5000][355/535][172104] Loss_D: -0.019257 Loss_G: -0.008336 Loss_D_real: -0.016982 Loss_D_fake 0.002274
[1667/5000][360/535][172105] Loss_D: -0.017724 Loss_G: 0.016179 Loss_D_real: -0.019026 Loss_D_fake -0.001302
[1667/5000][365/535][172106] Loss_D: -0.019185 Loss_G: -0.001301 Loss_D_real: -0.018190 Loss_D_fake 0.000995
[1667/5000][370/535][172107] Loss_D: -0.017935 Loss_G: 0.015830 Loss_D_real: -0.030039 Loss_D_fake -0.012104
[1667/5000][375/535][172108] Loss_D: -0.018929 Loss_G: -0.010278 Loss_D_real: -0.007402 Loss_D_fake 0.011527
[1667/5000][380/535][172109] Loss_D: -0.018061 Loss_G: 0.008171 Loss_D_real: -0.019345 Loss_D_fake -0.001284
[1667/5000][385/535][172110] Loss_D: -0.018445 Loss_G: -0.001761 Loss_D_real: -0.007188 Loss_D_fake 0.011256
[1667/5000][390/535][172111] Loss_D: -0.017598 Loss_G: 0.014278 Loss_D_real: -0.014719 Loss_D_fake 0.002879
[1667/5000][395/535][172112] Loss_D: -0.018338 Loss_G: 0.028858 Loss_D_real: -0.025049 Loss_D_fake -0.006712
[1667/5000][400/535][172113] Loss_D: -0.018167 Loss_G: -0.012129 Loss_D_real: -0.008318 Loss_D_fake 0.009849
[1667/5000][405/535][172114] Loss_D: -0.018623 Loss_G: 0.022347 Loss_D_real: -0.014646 Loss_D_fake 0.003977
[1667/5000][410/535][172115] Loss_D: -0.018664 Loss_G: -0.003570 Loss_D_real: -0.000613 Loss_D_fake 0.018051
[1667/5000][415/535][172116] Loss_D: -0.019157 Loss_G: 0.005198 Loss_D_real: -0.034771 Loss_D_fake -0.015614
[1667/5000][420/535][172117] Loss_D: -0.017481 Loss_G: -0.016133 Loss_D_real: 0.007799 Loss_D_fake 0.025280
[1667/5000][425/535][172118] Loss_D: -0.017463 Loss_G: -0.009310 Loss_D_real: -0.005609 Loss_D_fake 0.011855
[1667/5000][430/535][172119] Loss_D: -0.019603 Loss_G: -0.009573 Loss_D_real: -0.020400 Loss_D_fake -0.000797
[1667/5000][435/535][172120] Loss_D: -0.019013 Loss_G: 0.006103 Loss_D_real: -0.008437 Loss_D_fake 0.010576
[1667/5000][440/535][172121] Loss_D: -0.017773 Loss_G: 0.004787 Loss_D_real: -0.017453 Loss_D_fake 0.000320
[1667/5000][445/535][172122] Loss_D: -0.018935 Loss_G: 0.004117 Loss_D_real: -0.014669 Loss_D_fake 0.004266
[1667/5000][450/535][172123] Loss_D: -0.019522 Loss_G: 0.018621 Loss_D_real: -0.008948 Loss_D_fake 0.010573
[1667/5000][455/535][172124] Loss_D: -0.020342 Loss_G: 0.015645 Loss_D_real: -0.014913 Loss_D_fake 0.005429
[1667/5000][460/535][172125] Loss_D: -0.020130 Loss_G: -0.000765 Loss_D_real: -0.002808 Loss_D_fake 0.017322
[1667/5000][465/535][172126] Loss_D: -0.018465 Loss_G: 0.010997 Loss_D_real: -0.019170 Loss_D_fake -0.000704
[1667/5000][470/535][172127] Loss_D: -0.019776 Loss_G: -0.004596 Loss_D_real: -0.006512 Loss_D_fake 0.013264
[1667/5000][475/535][172128] Loss_D: -0.019755 Loss_G: 0.013583 Loss_D_real: -0.015376 Loss_D_fake 0.004379
[1667/5000][480/535][172129] Loss_D: -0.018529 Loss_G: 0.014723 Loss_D_real: -0.022706 Loss_D_fake -0.004176
[1667/5000][485/535][172130] Loss_D: -0.020500 Loss_G: 0.008381 Loss_D_real: -0.009974 Loss_D_fake 0.010526
[1667/5000][490/535][172131] Loss_D: -0.019886 Loss_G: 0.005674 Loss_D_real: -0.013008 Loss_D_fake 0.006877
[1667/5000][495/535][172132] Loss_D: -0.017812 Loss_G: 0.002208 Loss_D_real: -0.019909 Loss_D_fake -0.002097
[1667/5000][500/535][172133] Loss_D: -0.017804 Loss_G: 0.022748 Loss_D_real: -0.015545 Loss_D_fake 0.002259
[1667/5000][505/535][172134] Loss_D: -0.018070 Loss_G: 0.015405 Loss_D_real: -0.025789 Loss_D_fake -0.007719
[1667/5000][510/535][172135] Loss_D: -0.017574 Loss_G: -0.001507 Loss_D_real: -0.006230 Loss_D_fake 0.011344
[1667/5000][515/535][172136] Loss_D: -0.018947 Loss_G: 0.027998 Loss_D_real: -0.037851 Loss_D_fake -0.018905
[1667/5000][520/535][172137] Loss_D: -0.020929 Loss_G: -0.002872 Loss_D_real: -0.007099 Loss_D_fake 0.013830
[1667/5000][525/535][172138] Loss_D: -0.020317 Loss_G: 0.005060 Loss_D_real: -0.022389 Loss_D_fake -0.002072
[1667/5000][530/535][172139] Loss_D: -0.017981 Loss_G: 0.020769 Loss_D_real: -0.017499 Loss_D_fake 0.000482
[1667/5000][535/535][172140] Loss_D: -0.019875 Loss_G: -0.035988 Loss_D_real: -0.030341 Loss_D_fake -0.010466
[1668/5000][5/535][172141] Loss_D: -0.017644 Loss_G: -0.001746 Loss_D_real: 0.000973 Loss_D_fake 0.018617
[1668/5000][10/535][172142] Loss_D: -0.019100 Loss_G: 0.007667 Loss_D_real: -0.003517 Loss_D_fake 0.015583
[1668/5000][15/535][172143] Loss_D: -0.020379 Loss_G: 0.007761 Loss_D_real: -0.018002 Loss_D_fake 0.002377
[1668/5000][20/535][172144] Loss_D: -0.016619 Loss_G: -0.012573 Loss_D_real: 0.004397 Loss_D_fake 0.021016
[1668/5000][25/535][172145] Loss_D: -0.018572 Loss_G: 0.019966 Loss_D_real: -0.030020 Loss_D_fake -0.011448
[1668/5000][30/535][172146] Loss_D: -0.019172 Loss_G: 0.026822 Loss_D_real: -0.020353 Loss_D_fake -0.001181
[1668/5000][35/535][172147] Loss_D: -0.019557 Loss_G: 0.020224 Loss_D_real: -0.031789 Loss_D_fake -0.012232
[1668/5000][40/535][172148] Loss_D: -0.019524 Loss_G: 0.004341 Loss_D_real: -0.006168 Loss_D_fake 0.013356
[1668/5000][45/535][172149] Loss_D: -0.019364 Loss_G: 0.006339 Loss_D_real: -0.015243 Loss_D_fake 0.004120
[1668/5000][50/535][172150] Loss_D: -0.019579 Loss_G: -0.007635 Loss_D_real: -0.013732 Loss_D_fake 0.005847
[1668/5000][55/535][172151] Loss_D: -0.018906 Loss_G: -0.005157 Loss_D_real: -0.008441 Loss_D_fake 0.010465
[1668/5000][60/535][172152] Loss_D: -0.019028 Loss_G: 0.014909 Loss_D_real: -0.029053 Loss_D_fake -0.010025
[1668/5000][65/535][172153] Loss_D: -0.018867 Loss_G: 0.010934 Loss_D_real: -0.002394 Loss_D_fake 0.016473
[1668/5000][70/535][172154] Loss_D: -0.018796 Loss_G: 0.016997 Loss_D_real: -0.022582 Loss_D_fake -0.003785
[1668/5000][75/535][172155] Loss_D: -0.019324 Loss_G: -0.003679 Loss_D_real: -0.011139 Loss_D_fake 0.008185
[1668/5000][80/535][172156] Loss_D: -0.018988 Loss_G: 0.009464 Loss_D_real: -0.034014 Loss_D_fake -0.015026
[1668/5000][85/535][172157] Loss_D: -0.020085 Loss_G: -0.006669 Loss_D_real: -0.014612 Loss_D_fake 0.005473
[1668/5000][90/535][172158] Loss_D: -0.018593 Loss_G: 0.001424 Loss_D_real: -0.009205 Loss_D_fake 0.009389
[1668/5000][95/535][172159] Loss_D: -0.019593 Loss_G: 0.006605 Loss_D_real: -0.014158 Loss_D_fake 0.005435
[1668/5000][100/535][172160] Loss_D: -0.019520 Loss_G: 0.014978 Loss_D_real: -0.020434 Loss_D_fake -0.000914
[1668/5000][105/535][172161] Loss_D: -0.019271 Loss_G: 0.009214 Loss_D_real: -0.026518 Loss_D_fake -0.007247
[1668/5000][110/535][172162] Loss_D: -0.017347 Loss_G: 0.007229 Loss_D_real: -0.028964 Loss_D_fake -0.011617
[1668/5000][115/535][172163] Loss_D: -0.017200 Loss_G: 0.025754 Loss_D_real: -0.020422 Loss_D_fake -0.003221
[1668/5000][120/535][172164] Loss_D: -0.018334 Loss_G: 0.013286 Loss_D_real: -0.019416 Loss_D_fake -0.001082
[1668/5000][125/535][172165] Loss_D: -0.019668 Loss_G: 0.006184 Loss_D_real: -0.004355 Loss_D_fake 0.015313
[1668/5000][130/535][172166] Loss_D: -0.018832 Loss_G: -0.006082 Loss_D_real: -0.013917 Loss_D_fake 0.004915
[1668/5000][135/535][172167] Loss_D: -0.019936 Loss_G: 0.017124 Loss_D_real: -0.016013 Loss_D_fake 0.003923
[1668/5000][140/535][172168] Loss_D: -0.019946 Loss_G: 0.004954 Loss_D_real: -0.006134 Loss_D_fake 0.013811
[1668/5000][145/535][172169] Loss_D: -0.020519 Loss_G: 0.002235 Loss_D_real: -0.010961 Loss_D_fake 0.009559
[1668/5000][150/535][172170] Loss_D: -0.018058 Loss_G: -0.005398 Loss_D_real: -0.009536 Loss_D_fake 0.008522
[1668/5000][155/535][172171] Loss_D: -0.020078 Loss_G: 0.020292 Loss_D_real: -0.016060 Loss_D_fake 0.004018
[1668/5000][160/535][172172] Loss_D: -0.020220 Loss_G: -0.000916 Loss_D_real: -0.021227 Loss_D_fake -0.001007
[1668/5000][165/535][172173] Loss_D: -0.018858 Loss_G: -0.004609 Loss_D_real: 0.004629 Loss_D_fake 0.023487
[1668/5000][170/535][172174] Loss_D: -0.018803 Loss_G: 0.003937 Loss_D_real: -0.013040 Loss_D_fake 0.005763
[1668/5000][175/535][172175] Loss_D: -0.019316 Loss_G: -0.004567 Loss_D_real: -0.013559 Loss_D_fake 0.005758
[1668/5000][180/535][172176] Loss_D: -0.019309 Loss_G: 0.009633 Loss_D_real: -0.027230 Loss_D_fake -0.007920
[1668/5000][185/535][172177] Loss_D: -0.017247 Loss_G: 0.004735 Loss_D_real: -0.016504 Loss_D_fake 0.000742
[1668/5000][190/535][172178] Loss_D: -0.017837 Loss_G: -0.004770 Loss_D_real: -0.006253 Loss_D_fake 0.011584
[1668/5000][195/535][172179] Loss_D: -0.018136 Loss_G: 0.020017 Loss_D_real: -0.016276 Loss_D_fake 0.001859
[1668/5000][200/535][172180] Loss_D: -0.018166 Loss_G: 0.005281 Loss_D_real: -0.012958 Loss_D_fake 0.005208
[1668/5000][205/535][172181] Loss_D: -0.018879 Loss_G: -0.005521 Loss_D_real: -0.013029 Loss_D_fake 0.005850
[1668/5000][210/535][172182] Loss_D: -0.018777 Loss_G: 0.002746 Loss_D_real: -0.020619 Loss_D_fake -0.001842
[1668/5000][215/535][172183] Loss_D: -0.018505 Loss_G: -0.003087 Loss_D_real: -0.011003 Loss_D_fake 0.007502
[1668/5000][220/535][172184] Loss_D: -0.018681 Loss_G: -0.016673 Loss_D_real: -0.006067 Loss_D_fake 0.012614
[1668/5000][225/535][172185] Loss_D: -0.019667 Loss_G: 0.006005 Loss_D_real: -0.011192 Loss_D_fake 0.008475
[1668/5000][230/535][172186] Loss_D: -0.018264 Loss_G: 0.024502 Loss_D_real: -0.033380 Loss_D_fake -0.015116
[1668/5000][235/535][172187] Loss_D: -0.017104 Loss_G: -0.018334 Loss_D_real: 0.012239 Loss_D_fake 0.029343
[1668/5000][240/535][172188] Loss_D: -0.018897 Loss_G: 0.020609 Loss_D_real: -0.035721 Loss_D_fake -0.016823
[1668/5000][245/535][172189] Loss_D: -0.019893 Loss_G: 0.016971 Loss_D_real: 0.002118 Loss_D_fake 0.022012
[1668/5000][250/535][172190] Loss_D: -0.019475 Loss_G: 0.019204 Loss_D_real: -0.020639 Loss_D_fake -0.001164
[1668/5000][255/535][172191] Loss_D: -0.020019 Loss_G: 0.013059 Loss_D_real: -0.011007 Loss_D_fake 0.009011
[1668/5000][260/535][172192] Loss_D: -0.018774 Loss_G: -0.005831 Loss_D_real: -0.008353 Loss_D_fake 0.010421
[1668/5000][265/535][172193] Loss_D: -0.020615 Loss_G: 0.016031 Loss_D_real: -0.020629 Loss_D_fake -0.000013
[1668/5000][270/535][172194] Loss_D: -0.019891 Loss_G: 0.008491 Loss_D_real: -0.009522 Loss_D_fake 0.010370
[1668/5000][275/535][172195] Loss_D: -0.019599 Loss_G: -0.006703 Loss_D_real: -0.014741 Loss_D_fake 0.004859
[1668/5000][280/535][172196] Loss_D: -0.019611 Loss_G: 0.021225 Loss_D_real: -0.022144 Loss_D_fake -0.002533
[1668/5000][285/535][172197] Loss_D: -0.020162 Loss_G: 0.002726 Loss_D_real: -0.023126 Loss_D_fake -0.002964
[1668/5000][290/535][172198] Loss_D: -0.018598 Loss_G: 0.029349 Loss_D_real: -0.019757 Loss_D_fake -0.001159
[1668/5000][295/535][172199] Loss_D: -0.019331 Loss_G: 0.000502 Loss_D_real: -0.007431 Loss_D_fake 0.011900
[1668/5000][300/535][172200] Loss_D: -0.019041 Loss_G: 0.014187 Loss_D_real: -0.029682 Loss_D_fake -0.010640
[1668/5000][305/535][172201] Loss_D: -0.018899 Loss_G: -0.016511 Loss_D_real: 0.003054 Loss_D_fake 0.021952
[1668/5000][310/535][172202] Loss_D: -0.019091 Loss_G: 0.017870 Loss_D_real: -0.014745 Loss_D_fake 0.004346
[1668/5000][315/535][172203] Loss_D: -0.018535 Loss_G: 0.026638 Loss_D_real: -0.032506 Loss_D_fake -0.013971
[1668/5000][320/535][172204] Loss_D: -0.019080 Loss_G: 0.013777 Loss_D_real: -0.032786 Loss_D_fake -0.013706
[1668/5000][325/535][172205] Loss_D: -0.019984 Loss_G: 0.003117 Loss_D_real: -0.008181 Loss_D_fake 0.011803
[1668/5000][330/535][172206] Loss_D: -0.019216 Loss_G: -0.012797 Loss_D_real: 0.001362 Loss_D_fake 0.020577
[1668/5000][335/535][172207] Loss_D: -0.018117 Loss_G: 0.014034 Loss_D_real: -0.026060 Loss_D_fake -0.007944
[1668/5000][340/535][172208] Loss_D: -0.019896 Loss_G: 0.006471 Loss_D_real: -0.022266 Loss_D_fake -0.002370
[1668/5000][345/535][172209] Loss_D: -0.019247 Loss_G: 0.010607 Loss_D_real: -0.003756 Loss_D_fake 0.015490
[1668/5000][350/535][172210] Loss_D: -0.019228 Loss_G: 0.013670 Loss_D_real: -0.025539 Loss_D_fake -0.006311
[1668/5000][355/535][172211] Loss_D: -0.019342 Loss_G: 0.009356 Loss_D_real: -0.013456 Loss_D_fake 0.005887
[1668/5000][360/535][172212] Loss_D: -0.020057 Loss_G: -0.001551 Loss_D_real: -0.018040 Loss_D_fake 0.002017
[1668/5000][365/535][172213] Loss_D: -0.019216 Loss_G: -0.009591 Loss_D_real: -0.000280 Loss_D_fake 0.018936
[1668/5000][370/535][172214] Loss_D: -0.020206 Loss_G: 0.004937 Loss_D_real: -0.018922 Loss_D_fake 0.001284
[1668/5000][375/535][172215] Loss_D: -0.018422 Loss_G: 0.005945 Loss_D_real: -0.002056 Loss_D_fake 0.016366
[1668/5000][380/535][172216] Loss_D: -0.018977 Loss_G: 0.024827 Loss_D_real: -0.035173 Loss_D_fake -0.016197
[1668/5000][385/535][172217] Loss_D: -0.018269 Loss_G: -0.007956 Loss_D_real: -0.003369 Loss_D_fake 0.014900
[1668/5000][390/535][172218] Loss_D: -0.020109 Loss_G: 0.016021 Loss_D_real: -0.024009 Loss_D_fake -0.003900
[1668/5000][395/535][172219] Loss_D: -0.019921 Loss_G: 0.021213 Loss_D_real: -0.015603 Loss_D_fake 0.004318
[1668/5000][400/535][172220] Loss_D: -0.016978 Loss_G: -0.021154 Loss_D_real: 0.002547 Loss_D_fake 0.019525
[1668/5000][405/535][172221] Loss_D: -0.017606 Loss_G: 0.017747 Loss_D_real: -0.031564 Loss_D_fake -0.013958
[1668/5000][410/535][172222] Loss_D: -0.017871 Loss_G: 0.003820 Loss_D_real: -0.030138 Loss_D_fake -0.012266
[1668/5000][415/535][172223] Loss_D: -0.018591 Loss_G: 0.018564 Loss_D_real: -0.018692 Loss_D_fake -0.000101
[1668/5000][420/535][172224] Loss_D: -0.018109 Loss_G: 0.013047 Loss_D_real: -0.016575 Loss_D_fake 0.001534
[1668/5000][425/535][172225] Loss_D: -0.016960 Loss_G: 0.029377 Loss_D_real: -0.033074 Loss_D_fake -0.016114
[1668/5000][430/535][172226] Loss_D: -0.018698 Loss_G: -0.003591 Loss_D_real: -0.014655 Loss_D_fake 0.004043
[1668/5000][435/535][172227] Loss_D: -0.020739 Loss_G: -0.002427 Loss_D_real: -0.007993 Loss_D_fake 0.012746
[1668/5000][440/535][172228] Loss_D: -0.018845 Loss_G: 0.006006 Loss_D_real: -0.014716 Loss_D_fake 0.004129
[1668/5000][445/535][172229] Loss_D: -0.020254 Loss_G: 0.010914 Loss_D_real: -0.018830 Loss_D_fake 0.001424
[1668/5000][450/535][172230] Loss_D: -0.019348 Loss_G: 0.022230 Loss_D_real: -0.017164 Loss_D_fake 0.002184
[1668/5000][455/535][172231] Loss_D: -0.018303 Loss_G: 0.005766 Loss_D_real: -0.009662 Loss_D_fake 0.008640
[1668/5000][460/535][172232] Loss_D: -0.018936 Loss_G: 0.013207 Loss_D_real: -0.011304 Loss_D_fake 0.007632
[1668/5000][465/535][172233] Loss_D: -0.017945 Loss_G: 0.005912 Loss_D_real: -0.021678 Loss_D_fake -0.003733
[1668/5000][470/535][172234] Loss_D: -0.017588 Loss_G: -0.010720 Loss_D_real: -0.002028 Loss_D_fake 0.015561
[1668/5000][475/535][172235] Loss_D: -0.018571 Loss_G: 0.006853 Loss_D_real: -0.021485 Loss_D_fake -0.002914
[1668/5000][480/535][172236] Loss_D: -0.018388 Loss_G: 0.000825 Loss_D_real: -0.004998 Loss_D_fake 0.013390
[1668/5000][485/535][172237] Loss_D: -0.018077 Loss_G: 0.007893 Loss_D_real: -0.017044 Loss_D_fake 0.001032
[1668/5000][490/535][172238] Loss_D: -0.018237 Loss_G: -0.008232 Loss_D_real: 0.001855 Loss_D_fake 0.020092
[1668/5000][495/535][172239] Loss_D: -0.018847 Loss_G: 0.002032 Loss_D_real: -0.010134 Loss_D_fake 0.008713
[1668/5000][500/535][172240] Loss_D: -0.017283 Loss_G: 0.017872 Loss_D_real: -0.033121 Loss_D_fake -0.015839
[1668/5000][505/535][172241] Loss_D: -0.018891 Loss_G: 0.013762 Loss_D_real: -0.018992 Loss_D_fake -0.000101
[1668/5000][510/535][172242] Loss_D: -0.020231 Loss_G: -0.007975 Loss_D_real: -0.004919 Loss_D_fake 0.015312
[1668/5000][515/535][172243] Loss_D: -0.017619 Loss_G: 0.026584 Loss_D_real: -0.029850 Loss_D_fake -0.012231
[1668/5000][520/535][172244] Loss_D: -0.019757 Loss_G: 0.002553 Loss_D_real: -0.018253 Loss_D_fake 0.001504
[1668/5000][525/535][172245] Loss_D: -0.019552 Loss_G: 0.007112 Loss_D_real: -0.026481 Loss_D_fake -0.006929
[1668/5000][530/535][172246] Loss_D: -0.020177 Loss_G: 0.011525 Loss_D_real: -0.016339 Loss_D_fake 0.003837
[1668/5000][535/535][172247] Loss_D: -0.017562 Loss_G: -0.015097 Loss_D_real: -0.007944 Loss_D_fake 0.009619
[1669/5000][5/535][172248] Loss_D: -0.021262 Loss_G: 0.000389 Loss_D_real: -0.003871 Loss_D_fake 0.017391
[1669/5000][10/535][172249] Loss_D: -0.018125 Loss_G: 0.018841 Loss_D_real: -0.018900 Loss_D_fake -0.000775
[1669/5000][15/535][172250] Loss_D: -0.017484 Loss_G: 0.013689 Loss_D_real: -0.028795 Loss_D_fake -0.011312
[1669/5000][20/535][172251] Loss_D: -0.018751 Loss_G: 0.006698 Loss_D_real: -0.006749 Loss_D_fake 0.012003
[1669/5000][25/535][172252] Loss_D: -0.019255 Loss_G: 0.010183 Loss_D_real: -0.030920 Loss_D_fake -0.011665
[1669/5000][30/535][172253] Loss_D: -0.017498 Loss_G: 0.016000 Loss_D_real: -0.013661 Loss_D_fake 0.003837
[1669/5000][35/535][172254] Loss_D: -0.018962 Loss_G: 0.000545 Loss_D_real: 0.002115 Loss_D_fake 0.021078
[1669/5000][40/535][172255] Loss_D: -0.018627 Loss_G: 0.011119 Loss_D_real: -0.011680 Loss_D_fake 0.006947
[1669/5000][45/535][172256] Loss_D: -0.018937 Loss_G: -0.007437 Loss_D_real: -0.019050 Loss_D_fake -0.000113
[1669/5000][50/535][172257] Loss_D: -0.018641 Loss_G: 0.016919 Loss_D_real: -0.030727 Loss_D_fake -0.012086
[1669/5000][55/535][172258] Loss_D: -0.020352 Loss_G: 0.017843 Loss_D_real: -0.026950 Loss_D_fake -0.006598
[1669/5000][60/535][172259] Loss_D: -0.017478 Loss_G: 0.036233 Loss_D_real: -0.031396 Loss_D_fake -0.013918
[1669/5000][65/535][172260] Loss_D: -0.019827 Loss_G: 0.016366 Loss_D_real: -0.014571 Loss_D_fake 0.005256
[1669/5000][70/535][172261] Loss_D: -0.018316 Loss_G: 0.012677 Loss_D_real: -0.026457 Loss_D_fake -0.008141
[1669/5000][75/535][172262] Loss_D: -0.018713 Loss_G: -0.009154 Loss_D_real: -0.004046 Loss_D_fake 0.014668
[1669/5000][80/535][172263] Loss_D: -0.018432 Loss_G: -0.000622 Loss_D_real: 0.001674 Loss_D_fake 0.020106
[1669/5000][85/535][172264] Loss_D: -0.019976 Loss_G: 0.004676 Loss_D_real: -0.023327 Loss_D_fake -0.003352
[1669/5000][90/535][172265] Loss_D: -0.019621 Loss_G: -0.000643 Loss_D_real: -0.006647 Loss_D_fake 0.012975
[1669/5000][95/535][172266] Loss_D: -0.019407 Loss_G: 0.001548 Loss_D_real: -0.011110 Loss_D_fake 0.008297
[1669/5000][100/535][172267] Loss_D: -0.019461 Loss_G: 0.002654 Loss_D_real: -0.015299 Loss_D_fake 0.004162
[1669/5000][105/535][172268] Loss_D: -0.018063 Loss_G: 0.023443 Loss_D_real: -0.035711 Loss_D_fake -0.017649
[1669/5000][110/535][172269] Loss_D: -0.019659 Loss_G: -0.006285 Loss_D_real: -0.005656 Loss_D_fake 0.014003
[1669/5000][115/535][172270] Loss_D: -0.018728 Loss_G: 0.003186 Loss_D_real: -0.020048 Loss_D_fake -0.001320
[1669/5000][120/535][172271] Loss_D: -0.018135 Loss_G: -0.002011 Loss_D_real: -0.006069 Loss_D_fake 0.012067
[1669/5000][125/535][172272] Loss_D: -0.018317 Loss_G: -0.000720 Loss_D_real: -0.012737 Loss_D_fake 0.005581
[1669/5000][130/535][172273] Loss_D: -0.018454 Loss_G: 0.005308 Loss_D_real: -0.021292 Loss_D_fake -0.002838
[1669/5000][135/535][172274] Loss_D: -0.020065 Loss_G: 0.002688 Loss_D_real: -0.016811 Loss_D_fake 0.003253
[1669/5000][140/535][172275] Loss_D: -0.018252 Loss_G: 0.010300 Loss_D_real: -0.017451 Loss_D_fake 0.000801
[1669/5000][145/535][172276] Loss_D: -0.018216 Loss_G: 0.009252 Loss_D_real: -0.009985 Loss_D_fake 0.008232
[1669/5000][150/535][172277] Loss_D: -0.018959 Loss_G: -0.000054 Loss_D_real: -0.018232 Loss_D_fake 0.000727
[1669/5000][155/535][172278] Loss_D: -0.018946 Loss_G: -0.002493 Loss_D_real: -0.012811 Loss_D_fake 0.006134
[1669/5000][160/535][172279] Loss_D: -0.019169 Loss_G: 0.003176 Loss_D_real: -0.004756 Loss_D_fake 0.014413
[1669/5000][165/535][172280] Loss_D: -0.019133 Loss_G: -0.007110 Loss_D_real: -0.014743 Loss_D_fake 0.004391
[1669/5000][170/535][172281] Loss_D: -0.015766 Loss_G: 0.025483 Loss_D_real: -0.036552 Loss_D_fake -0.020786
[1669/5000][175/535][172282] Loss_D: -0.018380 Loss_G: 0.009425 Loss_D_real: -0.032998 Loss_D_fake -0.014619
[1669/5000][180/535][172283] Loss_D: -0.019326 Loss_G: 0.007022 Loss_D_real: -0.021190 Loss_D_fake -0.001864
[1669/5000][185/535][172284] Loss_D: -0.019523 Loss_G: 0.020744 Loss_D_real: -0.023498 Loss_D_fake -0.003975
[1669/5000][190/535][172285] Loss_D: -0.020237 Loss_G: 0.006660 Loss_D_real: -0.010206 Loss_D_fake 0.010031
[1669/5000][195/535][172286] Loss_D: -0.018410 Loss_G: 0.026145 Loss_D_real: -0.019763 Loss_D_fake -0.001353
[1669/5000][200/535][172287] Loss_D: -0.018880 Loss_G: 0.009278 Loss_D_real: -0.018461 Loss_D_fake 0.000419
[1669/5000][205/535][172288] Loss_D: -0.018481 Loss_G: 0.016076 Loss_D_real: -0.033986 Loss_D_fake -0.015505
[1669/5000][210/535][172289] Loss_D: -0.019456 Loss_G: 0.015346 Loss_D_real: -0.020802 Loss_D_fake -0.001346
[1669/5000][215/535][172290] Loss_D: -0.019092 Loss_G: 0.008581 Loss_D_real: -0.010264 Loss_D_fake 0.008828
[1669/5000][220/535][172291] Loss_D: -0.019039 Loss_G: -0.004932 Loss_D_real: -0.006107 Loss_D_fake 0.012932
[1669/5000][225/535][172292] Loss_D: -0.020865 Loss_G: -0.005995 Loss_D_real: -0.009274 Loss_D_fake 0.011591
[1669/5000][230/535][172293] Loss_D: -0.019021 Loss_G: 0.017729 Loss_D_real: -0.015570 Loss_D_fake 0.003451
[1669/5000][235/535][172294] Loss_D: -0.018589 Loss_G: 0.001951 Loss_D_real: -0.010022 Loss_D_fake 0.008567
[1669/5000][240/535][172295] Loss_D: -0.018085 Loss_G: -0.008749 Loss_D_real: -0.004640 Loss_D_fake 0.013445
[1669/5000][245/535][172296] Loss_D: -0.019536 Loss_G: 0.003898 Loss_D_real: -0.003118 Loss_D_fake 0.016417
[1669/5000][250/535][172297] Loss_D: -0.018608 Loss_G: -0.005663 Loss_D_real: -0.009704 Loss_D_fake 0.008903
[1669/5000][255/535][172298] Loss_D: -0.017801 Loss_G: 0.010009 Loss_D_real: -0.022416 Loss_D_fake -0.004615
[1669/5000][260/535][172299] Loss_D: -0.018180 Loss_G: 0.030371 Loss_D_real: -0.025800 Loss_D_fake -0.007620
[1669/5000][265/535][172300] Loss_D: -0.019144 Loss_G: 0.021029 Loss_D_real: -0.021908 Loss_D_fake -0.002764
[1669/5000][270/535][172301] Loss_D: -0.019553 Loss_G: 0.014068 Loss_D_real: -0.009692 Loss_D_fake 0.009860
[1669/5000][275/535][172302] Loss_D: -0.018498 Loss_G: 0.016547 Loss_D_real: -0.022582 Loss_D_fake -0.004084
[1669/5000][280/535][172303] Loss_D: -0.019324 Loss_G: 0.010228 Loss_D_real: -0.026501 Loss_D_fake -0.007177
[1669/5000][285/535][172304] Loss_D: -0.019576 Loss_G: 0.032965 Loss_D_real: -0.017960 Loss_D_fake 0.001616
[1669/5000][290/535][172305] Loss_D: -0.018522 Loss_G: 0.002046 Loss_D_real: -0.019585 Loss_D_fake -0.001063
[1669/5000][295/535][172306] Loss_D: -0.019320 Loss_G: -0.005976 Loss_D_real: -0.007793 Loss_D_fake 0.011528
[1669/5000][300/535][172307] Loss_D: -0.018551 Loss_G: 0.002191 Loss_D_real: -0.003417 Loss_D_fake 0.015135
[1669/5000][305/535][172308] Loss_D: -0.019168 Loss_G: 0.006056 Loss_D_real: -0.015934 Loss_D_fake 0.003234
[1669/5000][310/535][172309] Loss_D: -0.015755 Loss_G: 0.026516 Loss_D_real: -0.031868 Loss_D_fake -0.016112
[1669/5000][315/535][172310] Loss_D: -0.018939 Loss_G: 0.019131 Loss_D_real: -0.020124 Loss_D_fake -0.001185
[1669/5000][320/535][172311] Loss_D: -0.016744 Loss_G: 0.023802 Loss_D_real: -0.031193 Loss_D_fake -0.014449
[1669/5000][325/535][172312] Loss_D: -0.018011 Loss_G: 0.016421 Loss_D_real: -0.020266 Loss_D_fake -0.002255
[1669/5000][330/535][172313] Loss_D: -0.018926 Loss_G: 0.010441 Loss_D_real: -0.015090 Loss_D_fake 0.003835
[1669/5000][335/535][172314] Loss_D: -0.018905 Loss_G: 0.019970 Loss_D_real: -0.025039 Loss_D_fake -0.006135
[1669/5000][340/535][172315] Loss_D: -0.017956 Loss_G: -0.005288 Loss_D_real: -0.017078 Loss_D_fake 0.000878
[1669/5000][345/535][172316] Loss_D: -0.019827 Loss_G: 0.026116 Loss_D_real: -0.026075 Loss_D_fake -0.006248
[1669/5000][350/535][172317] Loss_D: -0.018101 Loss_G: 0.021219 Loss_D_real: -0.016876 Loss_D_fake 0.001225
[1669/5000][355/535][172318] Loss_D: -0.018837 Loss_G: 0.017856 Loss_D_real: -0.020805 Loss_D_fake -0.001968
[1669/5000][360/535][172319] Loss_D: -0.018051 Loss_G: 0.030635 Loss_D_real: -0.016610 Loss_D_fake 0.001441
[1669/5000][365/535][172320] Loss_D: -0.020719 Loss_G: 0.002311 Loss_D_real: -0.022682 Loss_D_fake -0.001963
[1669/5000][370/535][172321] Loss_D: -0.019598 Loss_G: 0.001080 Loss_D_real: 0.000887 Loss_D_fake 0.020485
[1669/5000][375/535][172322] Loss_D: -0.018206 Loss_G: -0.012545 Loss_D_real: -0.007164 Loss_D_fake 0.011042
[1669/5000][380/535][172323] Loss_D: -0.019802 Loss_G: 0.013557 Loss_D_real: -0.021161 Loss_D_fake -0.001358
[1669/5000][385/535][172324] Loss_D: -0.017741 Loss_G: 0.025527 Loss_D_real: -0.023633 Loss_D_fake -0.005892
[1669/5000][390/535][172325] Loss_D: -0.019372 Loss_G: 0.011189 Loss_D_real: -0.017509 Loss_D_fake 0.001862
[1669/5000][395/535][172326] Loss_D: -0.019821 Loss_G: 0.017366 Loss_D_real: -0.032919 Loss_D_fake -0.013099
[1669/5000][400/535][172327] Loss_D: -0.019913 Loss_G: 0.025130 Loss_D_real: -0.019900 Loss_D_fake 0.000014
[1669/5000][405/535][172328] Loss_D: -0.017867 Loss_G: 0.005722 Loss_D_real: -0.017110 Loss_D_fake 0.000757
[1669/5000][410/535][172329] Loss_D: -0.021256 Loss_G: 0.005008 Loss_D_real: -0.017794 Loss_D_fake 0.003462
[1669/5000][415/535][172330] Loss_D: -0.019471 Loss_G: -0.001962 Loss_D_real: -0.013134 Loss_D_fake 0.006337
[1669/5000][420/535][172331] Loss_D: -0.018845 Loss_G: 0.012833 Loss_D_real: -0.028510 Loss_D_fake -0.009666
[1669/5000][425/535][172332] Loss_D: -0.019491 Loss_G: 0.015154 Loss_D_real: -0.017707 Loss_D_fake 0.001783
[1669/5000][430/535][172333] Loss_D: -0.018674 Loss_G: -0.002569 Loss_D_real: 0.001811 Loss_D_fake 0.020485
[1669/5000][435/535][172334] Loss_D: -0.018623 Loss_G: 0.012175 Loss_D_real: -0.017214 Loss_D_fake 0.001409
[1669/5000][440/535][172335] Loss_D: -0.019081 Loss_G: 0.016035 Loss_D_real: -0.022247 Loss_D_fake -0.003166
[1669/5000][445/535][172336] Loss_D: -0.018816 Loss_G: 0.011500 Loss_D_real: -0.015971 Loss_D_fake 0.002845
[1669/5000][450/535][172337] Loss_D: -0.019764 Loss_G: -0.005144 Loss_D_real: -0.000132 Loss_D_fake 0.019632
[1669/5000][455/535][172338] Loss_D: -0.019609 Loss_G: -0.012151 Loss_D_real: -0.003319 Loss_D_fake 0.016290
[1669/5000][460/535][172339] Loss_D: -0.018656 Loss_G: 0.018490 Loss_D_real: -0.027313 Loss_D_fake -0.008657
[1669/5000][465/535][172340] Loss_D: -0.019359 Loss_G: 0.014815 Loss_D_real: -0.007851 Loss_D_fake 0.011508
[1669/5000][470/535][172341] Loss_D: -0.018903 Loss_G: 0.011307 Loss_D_real: -0.021520 Loss_D_fake -0.002616
[1669/5000][475/535][172342] Loss_D: -0.018113 Loss_G: -0.006291 Loss_D_real: -0.008366 Loss_D_fake 0.009747
[1669/5000][480/535][172343] Loss_D: -0.018287 Loss_G: -0.005156 Loss_D_real: 0.002737 Loss_D_fake 0.021024
[1669/5000][485/535][172344] Loss_D: -0.018170 Loss_G: 0.001968 Loss_D_real: -0.011770 Loss_D_fake 0.006401
[1669/5000][490/535][172345] Loss_D: -0.017895 Loss_G: 0.008400 Loss_D_real: -0.005247 Loss_D_fake 0.012649
[1669/5000][495/535][172346] Loss_D: -0.020112 Loss_G: 0.021150 Loss_D_real: -0.026639 Loss_D_fake -0.006528
[1669/5000][500/535][172347] Loss_D: -0.020244 Loss_G: 0.005664 Loss_D_real: -0.009937 Loss_D_fake 0.010307
[1669/5000][505/535][172348] Loss_D: -0.018874 Loss_G: 0.021955 Loss_D_real: -0.035284 Loss_D_fake -0.016410
[1669/5000][510/535][172349] Loss_D: -0.020586 Loss_G: -0.011346 Loss_D_real: -0.006630 Loss_D_fake 0.013956
[1669/5000][515/535][172350] Loss_D: -0.019652 Loss_G: 0.029255 Loss_D_real: -0.018987 Loss_D_fake 0.000665
[1669/5000][520/535][172351] Loss_D: -0.017691 Loss_G: -0.000723 Loss_D_real: -0.017806 Loss_D_fake -0.000115
[1669/5000][525/535][172352] Loss_D: -0.019066 Loss_G: 0.004812 Loss_D_real: -0.013051 Loss_D_fake 0.006014
[1669/5000][530/535][172353] Loss_D: -0.018831 Loss_G: 0.019626 Loss_D_real: -0.012245 Loss_D_fake 0.006585
[1669/5000][535/535][172354] Loss_D: -0.022474 Loss_G: -0.008725 Loss_D_real: -0.024033 Loss_D_fake -0.001560
[1670/5000][5/535][172355] Loss_D: -0.019360 Loss_G: -0.002338 Loss_D_real: -0.008903 Loss_D_fake 0.010457
[1670/5000][10/535][172356] Loss_D: -0.020277 Loss_G: 0.013192 Loss_D_real: -0.025905 Loss_D_fake -0.005627
[1670/5000][15/535][172357] Loss_D: -0.018994 Loss_G: 0.016674 Loss_D_real: -0.026038 Loss_D_fake -0.007044
[1670/5000][20/535][172358] Loss_D: -0.018496 Loss_G: 0.007912 Loss_D_real: -0.023572 Loss_D_fake -0.005076
[1670/5000][25/535][172359] Loss_D: -0.018367 Loss_G: 0.004457 Loss_D_real: -0.006207 Loss_D_fake 0.012160
[1670/5000][30/535][172360] Loss_D: -0.018544 Loss_G: 0.008027 Loss_D_real: -0.008216 Loss_D_fake 0.010328
[1670/5000][35/535][172361] Loss_D: -0.017611 Loss_G: 0.023506 Loss_D_real: -0.025017 Loss_D_fake -0.007407
[1670/5000][40/535][172362] Loss_D: -0.020945 Loss_G: -0.009347 Loss_D_real: -0.006793 Loss_D_fake 0.014152
[1670/5000][45/535][172363] Loss_D: -0.019734 Loss_G: 0.019701 Loss_D_real: -0.020355 Loss_D_fake -0.000621
[1670/5000][50/535][172364] Loss_D: -0.019252 Loss_G: -0.000445 Loss_D_real: 0.004426 Loss_D_fake 0.023678
[1670/5000][55/535][172365] Loss_D: -0.018224 Loss_G: 0.023578 Loss_D_real: -0.019529 Loss_D_fake -0.001304
[1670/5000][60/535][172366] Loss_D: -0.018752 Loss_G: 0.006264 Loss_D_real: -0.010988 Loss_D_fake 0.007764
[1670/5000][65/535][172367] Loss_D: -0.019388 Loss_G: 0.007652 Loss_D_real: -0.015416 Loss_D_fake 0.003972
[1670/5000][70/535][172368] Loss_D: -0.019981 Loss_G: 0.008285 Loss_D_real: -0.021011 Loss_D_fake -0.001030
[1670/5000][75/535][172369] Loss_D: -0.018260 Loss_G: -0.006782 Loss_D_real: 0.000827 Loss_D_fake 0.019088
[1670/5000][80/535][172370] Loss_D: -0.018369 Loss_G: 0.013268 Loss_D_real: -0.021011 Loss_D_fake -0.002642
[1670/5000][85/535][172371] Loss_D: -0.019079 Loss_G: 0.002418 Loss_D_real: -0.000657 Loss_D_fake 0.018422
[1670/5000][90/535][172372] Loss_D: -0.019549 Loss_G: -0.015806 Loss_D_real: -0.010824 Loss_D_fake 0.008724
[1670/5000][95/535][172373] Loss_D: -0.020258 Loss_G: 0.006996 Loss_D_real: -0.022790 Loss_D_fake -0.002532
[1670/5000][100/535][172374] Loss_D: -0.018243 Loss_G: 0.011690 Loss_D_real: -0.025413 Loss_D_fake -0.007169
[1670/5000][105/535][172375] Loss_D: -0.018331 Loss_G: 0.019079 Loss_D_real: -0.027920 Loss_D_fake -0.009589
[1670/5000][110/535][172376] Loss_D: -0.018196 Loss_G: 0.000145 Loss_D_real: -0.009022 Loss_D_fake 0.009174
[1670/5000][115/535][172377] Loss_D: -0.018855 Loss_G: 0.018593 Loss_D_real: -0.032737 Loss_D_fake -0.013882
[1670/5000][120/535][172378] Loss_D: -0.018812 Loss_G: -0.003455 Loss_D_real: -0.007632 Loss_D_fake 0.011181
[1670/5000][125/535][172379] Loss_D: -0.017244 Loss_G: -0.007935 Loss_D_real: -0.000865 Loss_D_fake 0.016379
[1670/5000][130/535][172380] Loss_D: -0.017969 Loss_G: 0.003786 Loss_D_real: -0.014394 Loss_D_fake 0.003576
[1670/5000][135/535][172381] Loss_D: -0.018347 Loss_G: 0.003703 Loss_D_real: -0.018782 Loss_D_fake -0.000436
[1670/5000][140/535][172382] Loss_D: -0.019131 Loss_G: 0.017529 Loss_D_real: -0.019257 Loss_D_fake -0.000126
[1670/5000][145/535][172383] Loss_D: -0.018009 Loss_G: 0.008571 Loss_D_real: -0.011801 Loss_D_fake 0.006208
[1670/5000][150/535][172384] Loss_D: -0.018780 Loss_G: 0.014145 Loss_D_real: -0.023650 Loss_D_fake -0.004871
[1670/5000][155/535][172385] Loss_D: -0.018701 Loss_G: 0.013906 Loss_D_real: -0.034104 Loss_D_fake -0.015403
[1670/5000][160/535][172386] Loss_D: -0.018403 Loss_G: 0.029863 Loss_D_real: -0.028078 Loss_D_fake -0.009675
[1670/5000][165/535][172387] Loss_D: -0.019858 Loss_G: -0.015235 Loss_D_real: 0.003201 Loss_D_fake 0.023059
[1670/5000][170/535][172388] Loss_D: -0.019159 Loss_G: -0.011625 Loss_D_real: -0.002304 Loss_D_fake 0.016855
[1670/5000][175/535][172389] Loss_D: -0.018586 Loss_G: 0.022325 Loss_D_real: -0.029881 Loss_D_fake -0.011295
[1670/5000][180/535][172390] Loss_D: -0.018356 Loss_G: -0.005755 Loss_D_real: -0.014246 Loss_D_fake 0.004110
[1670/5000][185/535][172391] Loss_D: -0.018672 Loss_G: -0.008034 Loss_D_real: -0.003936 Loss_D_fake 0.014736
[1670/5000][190/535][172392] Loss_D: -0.018463 Loss_G: 0.010367 Loss_D_real: -0.012340 Loss_D_fake 0.006123
[1670/5000][195/535][172393] Loss_D: -0.019098 Loss_G: 0.010094 Loss_D_real: -0.007973 Loss_D_fake 0.011125
[1670/5000][200/535][172394] Loss_D: -0.018705 Loss_G: -0.004199 Loss_D_real: -0.009689 Loss_D_fake 0.009016
[1670/5000][205/535][172395] Loss_D: -0.019441 Loss_G: 0.025639 Loss_D_real: -0.027182 Loss_D_fake -0.007741
[1670/5000][210/535][172396] Loss_D: -0.019328 Loss_G: -0.004976 Loss_D_real: -0.020663 Loss_D_fake -0.001334
[1670/5000][215/535][172397] Loss_D: -0.019322 Loss_G: -0.002721 Loss_D_real: -0.005041 Loss_D_fake 0.014280
[1670/5000][220/535][172398] Loss_D: -0.017377 Loss_G: 0.024444 Loss_D_real: -0.031431 Loss_D_fake -0.014054
[1670/5000][225/535][172399] Loss_D: -0.018468 Loss_G: -0.006000 Loss_D_real: -0.023022 Loss_D_fake -0.004554
[1670/5000][230/535][172400] Loss_D: -0.018077 Loss_G: 0.017010 Loss_D_real: -0.009501 Loss_D_fake 0.008576
[1670/5000][235/535][172401] Loss_D: -0.018654 Loss_G: 0.008155 Loss_D_real: -0.018507 Loss_D_fake 0.000147
[1670/5000][240/535][172402] Loss_D: -0.019764 Loss_G: 0.012679 Loss_D_real: -0.018225 Loss_D_fake 0.001539
[1670/5000][245/535][172403] Loss_D: -0.019117 Loss_G: -0.002390 Loss_D_real: -0.010162 Loss_D_fake 0.008955
[1670/5000][250/535][172404] Loss_D: -0.017945 Loss_G: 0.020039 Loss_D_real: -0.017779 Loss_D_fake 0.000166
[1670/5000][255/535][172405] Loss_D: -0.017979 Loss_G: -0.000478 Loss_D_real: -0.016128 Loss_D_fake 0.001851
[1670/5000][260/535][172406] Loss_D: -0.019564 Loss_G: 0.009829 Loss_D_real: -0.022434 Loss_D_fake -0.002870
[1670/5000][265/535][172407] Loss_D: -0.018168 Loss_G: 0.020261 Loss_D_real: -0.030502 Loss_D_fake -0.012334
[1670/5000][270/535][172408] Loss_D: -0.019206 Loss_G: 0.001111 Loss_D_real: -0.013252 Loss_D_fake 0.005954
[1670/5000][275/535][172409] Loss_D: -0.018710 Loss_G: -0.016365 Loss_D_real: -0.005459 Loss_D_fake 0.013251
[1670/5000][280/535][172410] Loss_D: -0.018004 Loss_G: 0.012088 Loss_D_real: -0.013498 Loss_D_fake 0.004506
[1670/5000][285/535][172411] Loss_D: -0.017787 Loss_G: 0.022661 Loss_D_real: -0.013044 Loss_D_fake 0.004743
[1670/5000][290/535][172412] Loss_D: -0.019851 Loss_G: 0.012355 Loss_D_real: -0.022764 Loss_D_fake -0.002914
[1670/5000][295/535][172413] Loss_D: -0.020788 Loss_G: 0.010427 Loss_D_real: -0.023388 Loss_D_fake -0.002600
[1670/5000][300/535][172414] Loss_D: -0.018142 Loss_G: 0.018628 Loss_D_real: -0.017797 Loss_D_fake 0.000344
[1670/5000][305/535][172415] Loss_D: -0.019276 Loss_G: 0.034205 Loss_D_real: -0.026899 Loss_D_fake -0.007623
[1670/5000][310/535][172416] Loss_D: -0.019251 Loss_G: 0.000081 Loss_D_real: -0.012278 Loss_D_fake 0.006973
[1670/5000][315/535][172417] Loss_D: -0.019653 Loss_G: 0.008008 Loss_D_real: -0.013622 Loss_D_fake 0.006030
[1670/5000][320/535][172418] Loss_D: -0.017191 Loss_G: 0.014413 Loss_D_real: -0.022569 Loss_D_fake -0.005378
[1670/5000][325/535][172419] Loss_D: -0.017816 Loss_G: -0.026230 Loss_D_real: 0.009695 Loss_D_fake 0.027511
[1670/5000][330/535][172420] Loss_D: -0.018559 Loss_G: 0.004345 Loss_D_real: -0.025429 Loss_D_fake -0.006870
[1670/5000][335/535][172421] Loss_D: -0.018838 Loss_G: 0.022797 Loss_D_real: -0.024566 Loss_D_fake -0.005728
[1670/5000][340/535][172422] Loss_D: -0.019646 Loss_G: 0.020371 Loss_D_real: -0.012750 Loss_D_fake 0.006896
[1670/5000][345/535][172423] Loss_D: -0.018804 Loss_G: -0.021041 Loss_D_real: -0.000070 Loss_D_fake 0.018735
[1670/5000][350/535][172424] Loss_D: -0.019808 Loss_G: 0.003484 Loss_D_real: -0.015891 Loss_D_fake 0.003916
[1670/5000][355/535][172425] Loss_D: -0.019450 Loss_G: 0.011308 Loss_D_real: -0.020502 Loss_D_fake -0.001052
[1670/5000][360/535][172426] Loss_D: -0.018665 Loss_G: -0.013028 Loss_D_real: 0.004296 Loss_D_fake 0.022962
[1670/5000][365/535][172427] Loss_D: -0.019359 Loss_G: 0.003686 Loss_D_real: -0.003269 Loss_D_fake 0.016090
[1670/5000][370/535][172428] Loss_D: -0.019123 Loss_G: 0.007504 Loss_D_real: -0.006425 Loss_D_fake 0.012698
[1670/5000][375/535][172429] Loss_D: -0.020531 Loss_G: -0.003180 Loss_D_real: -0.011158 Loss_D_fake 0.009373
[1670/5000][380/535][172430] Loss_D: -0.019359 Loss_G: -0.005736 Loss_D_real: -0.012640 Loss_D_fake 0.006720
[1670/5000][385/535][172431] Loss_D: -0.019169 Loss_G: 0.014347 Loss_D_real: -0.023826 Loss_D_fake -0.004657
[1670/5000][390/535][172432] Loss_D: -0.019663 Loss_G: 0.003964 Loss_D_real: -0.007947 Loss_D_fake 0.011716
[1670/5000][395/535][172433] Loss_D: -0.019233 Loss_G: -0.005509 Loss_D_real: -0.012444 Loss_D_fake 0.006789
[1670/5000][400/535][172434] Loss_D: -0.019259 Loss_G: 0.000752 Loss_D_real: -0.010012 Loss_D_fake 0.009247
[1670/5000][405/535][172435] Loss_D: -0.019192 Loss_G: 0.005006 Loss_D_real: -0.005567 Loss_D_fake 0.013625
[1670/5000][410/535][172436] Loss_D: -0.019562 Loss_G: -0.010214 Loss_D_real: -0.009545 Loss_D_fake 0.010017
[1670/5000][415/535][172437] Loss_D: -0.018038 Loss_G: 0.032465 Loss_D_real: -0.028141 Loss_D_fake -0.010103
[1670/5000][420/535][172438] Loss_D: -0.019024 Loss_G: -0.003204 Loss_D_real: -0.005830 Loss_D_fake 0.013194
[1670/5000][425/535][172439] Loss_D: -0.018673 Loss_G: 0.014669 Loss_D_real: -0.024675 Loss_D_fake -0.006002
[1670/5000][430/535][172440] Loss_D: -0.018973 Loss_G: -0.004999 Loss_D_real: -0.020342 Loss_D_fake -0.001369
[1670/5000][435/535][172441] Loss_D: -0.017237 Loss_G: 0.013276 Loss_D_real: -0.003047 Loss_D_fake 0.014190
[1670/5000][440/535][172442] Loss_D: -0.020072 Loss_G: 0.004196 Loss_D_real: -0.002295 Loss_D_fake 0.017776
[1670/5000][445/535][172443] Loss_D: -0.018562 Loss_G: 0.015896 Loss_D_real: -0.019538 Loss_D_fake -0.000976
[1670/5000][450/535][172444] Loss_D: -0.018616 Loss_G: -0.014181 Loss_D_real: 0.003046 Loss_D_fake 0.021661
[1670/5000][455/535][172445] Loss_D: -0.018597 Loss_G: 0.024189 Loss_D_real: -0.022838 Loss_D_fake -0.004242
[1670/5000][460/535][172446] Loss_D: -0.018246 Loss_G: 0.017967 Loss_D_real: -0.033858 Loss_D_fake -0.015613
[1670/5000][465/535][172447] Loss_D: -0.019240 Loss_G: 0.005736 Loss_D_real: -0.005221 Loss_D_fake 0.014018
[1670/5000][470/535][172448] Loss_D: -0.018201 Loss_G: -0.001060 Loss_D_real: -0.011067 Loss_D_fake 0.007135
[1670/5000][475/535][172449] Loss_D: -0.018883 Loss_G: -0.002083 Loss_D_real: -0.022484 Loss_D_fake -0.003601
[1670/5000][480/535][172450] Loss_D: -0.017839 Loss_G: 0.010502 Loss_D_real: -0.016888 Loss_D_fake 0.000951
[1670/5000][485/535][172451] Loss_D: -0.017386 Loss_G: 0.028038 Loss_D_real: -0.027391 Loss_D_fake -0.010005
[1670/5000][490/535][172452] Loss_D: -0.018855 Loss_G: 0.004927 Loss_D_real: -0.019247 Loss_D_fake -0.000391
[1670/5000][495/535][172453] Loss_D: -0.019261 Loss_G: -0.005424 Loss_D_real: -0.013798 Loss_D_fake 0.005463
[1670/5000][500/535][172454] Loss_D: -0.019559 Loss_G: 0.008084 Loss_D_real: -0.007623 Loss_D_fake 0.011936
[1670/5000][505/535][172455] Loss_D: -0.019155 Loss_G: 0.009787 Loss_D_real: -0.027512 Loss_D_fake -0.008358
[1670/5000][510/535][172456] Loss_D: -0.018111 Loss_G: 0.009210 Loss_D_real: 0.001889 Loss_D_fake 0.020000
[1670/5000][515/535][172457] Loss_D: -0.019472 Loss_G: 0.014276 Loss_D_real: -0.012017 Loss_D_fake 0.007455
[1670/5000][520/535][172458] Loss_D: -0.020008 Loss_G: 0.002021 Loss_D_real: -0.025468 Loss_D_fake -0.005460
[1670/5000][525/535][172459] Loss_D: -0.017874 Loss_G: 0.030351 Loss_D_real: -0.019741 Loss_D_fake -0.001868
[1670/5000][530/535][172460] Loss_D: -0.018840 Loss_G: -0.014996 Loss_D_real: -0.006429 Loss_D_fake 0.012411
[1670/5000][535/535][172461] Loss_D: -0.018518 Loss_G: 0.003888 Loss_D_real: -0.016364 Loss_D_fake 0.002153
[1671/5000][5/535][172462] Loss_D: -0.017773 Loss_G: 0.012379 Loss_D_real: -0.030180 Loss_D_fake -0.012406
[1671/5000][10/535][172463] Loss_D: -0.019499 Loss_G: 0.006182 Loss_D_real: -0.008343 Loss_D_fake 0.011156
[1671/5000][15/535][172464] Loss_D: -0.019027 Loss_G: 0.025616 Loss_D_real: -0.019124 Loss_D_fake -0.000097
[1671/5000][20/535][172465] Loss_D: -0.019277 Loss_G: -0.007719 Loss_D_real: -0.009431 Loss_D_fake 0.009847
[1671/5000][25/535][172466] Loss_D: -0.017698 Loss_G: 0.023989 Loss_D_real: -0.023782 Loss_D_fake -0.006083
[1671/5000][30/535][172467] Loss_D: -0.019012 Loss_G: -0.001187 Loss_D_real: -0.007827 Loss_D_fake 0.011185
[1671/5000][35/535][172468] Loss_D: -0.019310 Loss_G: 0.002294 Loss_D_real: -0.022177 Loss_D_fake -0.002867
[1671/5000][40/535][172469] Loss_D: -0.019505 Loss_G: -0.008255 Loss_D_real: -0.016604 Loss_D_fake 0.002902
[1671/5000][45/535][172470] Loss_D: -0.017963 Loss_G: 0.014917 Loss_D_real: -0.027234 Loss_D_fake -0.009271
[1671/5000][50/535][172471] Loss_D: -0.019831 Loss_G: 0.017238 Loss_D_real: -0.023714 Loss_D_fake -0.003883
[1671/5000][55/535][172472] Loss_D: -0.018952 Loss_G: 0.006502 Loss_D_real: -0.010418 Loss_D_fake 0.008534
[1671/5000][60/535][172473] Loss_D: -0.019228 Loss_G: -0.004519 Loss_D_real: 0.005252 Loss_D_fake 0.024481
[1671/5000][65/535][172474] Loss_D: -0.019359 Loss_G: 0.011704 Loss_D_real: -0.017934 Loss_D_fake 0.001426
[1671/5000][70/535][172475] Loss_D: -0.018432 Loss_G: 0.015809 Loss_D_real: -0.018202 Loss_D_fake 0.000231
[1671/5000][75/535][172476] Loss_D: -0.018925 Loss_G: 0.017576 Loss_D_real: -0.019987 Loss_D_fake -0.001061
[1671/5000][80/535][172477] Loss_D: -0.020268 Loss_G: 0.003902 Loss_D_real: -0.009084 Loss_D_fake 0.011185
[1671/5000][85/535][172478] Loss_D: -0.019155 Loss_G: 0.019488 Loss_D_real: -0.024797 Loss_D_fake -0.005642
[1671/5000][90/535][172479] Loss_D: -0.017666 Loss_G: -0.009273 Loss_D_real: -0.010661 Loss_D_fake 0.007005
[1671/5000][95/535][172480] Loss_D: -0.018836 Loss_G: 0.016350 Loss_D_real: -0.028311 Loss_D_fake -0.009475
[1671/5000][100/535][172481] Loss_D: -0.019415 Loss_G: 0.008469 Loss_D_real: -0.015785 Loss_D_fake 0.003629
[1671/5000][105/535][172482] Loss_D: -0.021372 Loss_G: 0.024226 Loss_D_real: -0.010004 Loss_D_fake 0.011368
[1671/5000][110/535][172483] Loss_D: -0.019633 Loss_G: 0.004709 Loss_D_real: -0.018522 Loss_D_fake 0.001111
[1671/5000][115/535][172484] Loss_D: -0.018438 Loss_G: 0.001073 Loss_D_real: -0.009933 Loss_D_fake 0.008505
[1671/5000][120/535][172485] Loss_D: -0.018916 Loss_G: 0.009445 Loss_D_real: -0.009238 Loss_D_fake 0.009678
[1671/5000][125/535][172486] Loss_D: -0.018790 Loss_G: -0.006396 Loss_D_real: 0.005487 Loss_D_fake 0.024277
[1671/5000][130/535][172487] Loss_D: -0.019157 Loss_G: 0.024045 Loss_D_real: -0.016168 Loss_D_fake 0.002989
[1671/5000][135/535][172488] Loss_D: -0.018395 Loss_G: 0.013520 Loss_D_real: -0.013554 Loss_D_fake 0.004842
[1671/5000][140/535][172489] Loss_D: -0.019134 Loss_G: -0.020734 Loss_D_real: -0.011683 Loss_D_fake 0.007452
[1671/5000][145/535][172490] Loss_D: -0.019161 Loss_G: -0.001873 Loss_D_real: -0.010194 Loss_D_fake 0.008967
[1671/5000][150/535][172491] Loss_D: -0.018651 Loss_G: 0.006002 Loss_D_real: -0.018330 Loss_D_fake 0.000321
[1671/5000][155/535][172492] Loss_D: -0.019011 Loss_G: -0.011302 Loss_D_real: -0.000734 Loss_D_fake 0.018277
[1671/5000][160/535][172493] Loss_D: -0.017331 Loss_G: 0.024093 Loss_D_real: -0.023622 Loss_D_fake -0.006291
[1671/5000][165/535][172494] Loss_D: -0.019337 Loss_G: 0.017391 Loss_D_real: -0.020431 Loss_D_fake -0.001094
[1671/5000][170/535][172495] Loss_D: -0.018705 Loss_G: 0.000695 Loss_D_real: -0.010828 Loss_D_fake 0.007876
[1671/5000][175/535][172496] Loss_D: -0.019326 Loss_G: 0.011063 Loss_D_real: -0.011920 Loss_D_fake 0.007406
[1671/5000][180/535][172497] Loss_D: -0.018088 Loss_G: -0.013672 Loss_D_real: 0.001454 Loss_D_fake 0.019542
[1671/5000][185/535][172498] Loss_D: -0.018203 Loss_G: 0.000504 Loss_D_real: -0.022544 Loss_D_fake -0.004341
[1671/5000][190/535][172499] Loss_D: -0.019915 Loss_G: 0.008334 Loss_D_real: -0.027196 Loss_D_fake -0.007281
[1671/5000][195/535][172500] Loss_D: -0.018881 Loss_G: 0.003699 Loss_D_real: -0.014881 Loss_D_fake 0.004000
[1671/5000][295/535][172501] Loss_D: -0.020327 Loss_G: -0.005573 Loss_D_real: -0.006386 Loss_D_fake 0.013941
[1671/5000][300/535][172502] Loss_D: -0.017398 Loss_G: -0.019602 Loss_D_real: 0.012432 Loss_D_fake 0.029829
[1671/5000][305/535][172503] Loss_D: -0.017646 Loss_G: 0.010831 Loss_D_real: -0.025834 Loss_D_fake -0.008188
[1671/5000][310/535][172504] Loss_D: -0.017996 Loss_G: 0.005735 Loss_D_real: -0.002155 Loss_D_fake 0.015841
[1671/5000][315/535][172505] Loss_D: -0.018748 Loss_G: 0.013317 Loss_D_real: -0.019970 Loss_D_fake -0.001222
[1671/5000][320/535][172506] Loss_D: -0.018265 Loss_G: 0.014292 Loss_D_real: -0.025185 Loss_D_fake -0.006920
[1671/5000][325/535][172507] Loss_D: -0.017768 Loss_G: 0.010971 Loss_D_real: -0.028357 Loss_D_fake -0.010589
[1671/5000][330/535][172508] Loss_D: -0.018239 Loss_G: -0.002516 Loss_D_real: -0.020573 Loss_D_fake -0.002334
[1671/5000][335/535][172509] Loss_D: -0.018734 Loss_G: -0.005192 Loss_D_real: -0.007677 Loss_D_fake 0.011057
[1671/5000][340/535][172510] Loss_D: -0.018459 Loss_G: 0.012407 Loss_D_real: -0.018214 Loss_D_fake 0.000245
[1671/5000][345/535][172511] Loss_D: -0.018879 Loss_G: -0.009528 Loss_D_real: -0.019018 Loss_D_fake -0.000139
[1671/5000][350/535][172512] Loss_D: -0.018711 Loss_G: 0.020343 Loss_D_real: -0.008477 Loss_D_fake 0.010233
[1671/5000][355/535][172513] Loss_D: -0.019776 Loss_G: 0.010214 Loss_D_real: -0.008619 Loss_D_fake 0.011157
[1671/5000][360/535][172514] Loss_D: -0.017491 Loss_G: 0.028494 Loss_D_real: -0.023458 Loss_D_fake -0.005967
[1671/5000][365/535][172515] Loss_D: -0.018774 Loss_G: 0.001875 Loss_D_real: -0.017725 Loss_D_fake 0.001050
[1671/5000][370/535][172516] Loss_D: -0.018384 Loss_G: 0.027873 Loss_D_real: -0.021806 Loss_D_fake -0.003422
[1671/5000][375/535][172517] Loss_D: -0.017719 Loss_G: 0.002018 Loss_D_real: -0.006637 Loss_D_fake 0.011083
[1671/5000][380/535][172518] Loss_D: -0.019028 Loss_G: 0.009392 Loss_D_real: -0.030902 Loss_D_fake -0.011874
[1671/5000][385/535][172519] Loss_D: -0.018436 Loss_G: 0.003993 Loss_D_real: -0.021634 Loss_D_fake -0.003198
[1671/5000][390/535][172520] Loss_D: -0.018592 Loss_G: 0.007169 Loss_D_real: -0.006805 Loss_D_fake 0.011787
[1671/5000][395/535][172521] Loss_D: -0.018969 Loss_G: 0.008797 Loss_D_real: -0.007796 Loss_D_fake 0.011173
[1671/5000][400/535][172522] Loss_D: -0.019013 Loss_G: 0.000901 Loss_D_real: -0.012705 Loss_D_fake 0.006308
[1671/5000][405/535][172523] Loss_D: -0.018432 Loss_G: 0.010920 Loss_D_real: -0.032851 Loss_D_fake -0.014419
[1671/5000][410/535][172524] Loss_D: -0.018984 Loss_G: 0.008886 Loss_D_real: -0.013385 Loss_D_fake 0.005599
[1671/5000][415/535][172525] Loss_D: -0.019050 Loss_G: -0.008076 Loss_D_real: -0.013516 Loss_D_fake 0.005533
[1671/5000][420/535][172526] Loss_D: -0.017348 Loss_G: 0.032412 Loss_D_real: -0.035648 Loss_D_fake -0.018300
[1671/5000][425/535][172527] Loss_D: -0.018375 Loss_G: -0.008441 Loss_D_real: 0.001075 Loss_D_fake 0.019450
[1671/5000][430/535][172528] Loss_D: -0.019707 Loss_G: -0.003674 Loss_D_real: -0.008524 Loss_D_fake 0.011183
[1671/5000][435/535][172529] Loss_D: -0.019428 Loss_G: 0.006084 Loss_D_real: -0.007135 Loss_D_fake 0.012293
[1671/5000][440/535][172530] Loss_D: -0.017686 Loss_G: -0.009594 Loss_D_real: -0.010936 Loss_D_fake 0.006750
[1671/5000][445/535][172531] Loss_D: -0.017891 Loss_G: 0.017740 Loss_D_real: -0.019884 Loss_D_fake -0.001993
[1671/5000][450/535][172532] Loss_D: -0.019561 Loss_G: 0.007061 Loss_D_real: -0.013942 Loss_D_fake 0.005619
[1671/5000][455/535][172533] Loss_D: -0.017471 Loss_G: 0.014950 Loss_D_real: -0.028195 Loss_D_fake -0.010724
[1671/5000][460/535][172534] Loss_D: -0.018222 Loss_G: 0.004097 Loss_D_real: -0.012105 Loss_D_fake 0.006117
[1671/5000][465/535][172535] Loss_D: -0.018416 Loss_G: 0.003175 Loss_D_real: -0.001056 Loss_D_fake 0.017361
[1671/5000][470/535][172536] Loss_D: -0.019875 Loss_G: 0.009657 Loss_D_real: -0.014115 Loss_D_fake 0.005760
[1671/5000][475/535][172537] Loss_D: -0.018362 Loss_G: 0.013251 Loss_D_real: -0.023259 Loss_D_fake -0.004897
[1671/5000][480/535][172538] Loss_D: -0.017942 Loss_G: 0.019522 Loss_D_real: -0.034003 Loss_D_fake -0.016062
[1671/5000][485/535][172539] Loss_D: -0.019662 Loss_G: -0.001318 Loss_D_real: -0.014235 Loss_D_fake 0.005427
[1671/5000][490/535][172540] Loss_D: -0.018826 Loss_G: 0.010222 Loss_D_real: -0.008538 Loss_D_fake 0.010288
[1671/5000][495/535][172541] Loss_D: -0.017611 Loss_G: 0.015653 Loss_D_real: -0.026300 Loss_D_fake -0.008690
[1671/5000][500/535][172542] Loss_D: -0.018163 Loss_G: 0.000323 Loss_D_real: -0.011713 Loss_D_fake 0.006450
[1671/5000][505/535][172543] Loss_D: -0.019515 Loss_G: 0.003577 Loss_D_real: -0.018593 Loss_D_fake 0.000922
[1671/5000][510/535][172544] Loss_D: -0.019115 Loss_G: 0.009072 Loss_D_real: -0.017231 Loss_D_fake 0.001884
[1671/5000][515/535][172545] Loss_D: -0.018297 Loss_G: 0.015952 Loss_D_real: -0.021682 Loss_D_fake -0.003385
[1671/5000][520/535][172546] Loss_D: -0.018588 Loss_G: 0.000681 Loss_D_real: -0.017226 Loss_D_fake 0.001362
[1671/5000][525/535][172547] Loss_D: -0.019482 Loss_G: 0.003453 Loss_D_real: -0.017034 Loss_D_fake 0.002448
[1671/5000][530/535][172548] Loss_D: -0.018832 Loss_G: 0.018711 Loss_D_real: -0.015905 Loss_D_fake 0.002927
[1671/5000][535/535][172549] Loss_D: -0.018222 Loss_G: 0.006353 Loss_D_real: -0.028352 Loss_D_fake -0.010130
[1672/5000][5/535][172550] Loss_D: -0.019026 Loss_G: 0.005089 Loss_D_real: -0.013639 Loss_D_fake 0.005387
[1672/5000][10/535][172551] Loss_D: -0.016773 Loss_G: 0.019154 Loss_D_real: -0.028259 Loss_D_fake -0.011487
[1672/5000][15/535][172552] Loss_D: -0.018648 Loss_G: 0.003435 Loss_D_real: -0.019256 Loss_D_fake -0.000608
[1672/5000][20/535][172553] Loss_D: -0.018503 Loss_G: -0.001777 Loss_D_real: -0.000475 Loss_D_fake 0.018028
[1672/5000][25/535][172554] Loss_D: -0.017661 Loss_G: 0.002197 Loss_D_real: -0.008667 Loss_D_fake 0.008994
[1672/5000][30/535][172555] Loss_D: -0.019757 Loss_G: 0.004211 Loss_D_real: -0.014118 Loss_D_fake 0.005639
[1672/5000][35/535][172556] Loss_D: -0.018012 Loss_G: 0.006247 Loss_D_real: -0.022326 Loss_D_fake -0.004314
[1672/5000][40/535][172557] Loss_D: -0.018658 Loss_G: 0.021159 Loss_D_real: -0.022744 Loss_D_fake -0.004087
[1672/5000][45/535][172558] Loss_D: -0.018131 Loss_G: 0.010215 Loss_D_real: -0.009911 Loss_D_fake 0.008220
[1672/5000][50/535][172559] Loss_D: -0.018715 Loss_G: -0.013819 Loss_D_real: 0.004600 Loss_D_fake 0.023315
[1672/5000][55/535][172560] Loss_D: -0.018258 Loss_G: -0.005849 Loss_D_real: -0.013688 Loss_D_fake 0.004570
[1672/5000][60/535][172561] Loss_D: -0.018694 Loss_G: -0.002207 Loss_D_real: -0.002193 Loss_D_fake 0.016501
[1672/5000][65/535][172562] Loss_D: -0.017606 Loss_G: 0.018478 Loss_D_real: -0.024482 Loss_D_fake -0.006875
[1672/5000][70/535][172563] Loss_D: -0.019140 Loss_G: -0.002054 Loss_D_real: -0.001504 Loss_D_fake 0.017636
[1672/5000][75/535][172564] Loss_D: -0.018177 Loss_G: 0.004597 Loss_D_real: -0.015156 Loss_D_fake 0.003020
[1672/5000][80/535][172565] Loss_D: -0.018010 Loss_G: 0.011309 Loss_D_real: -0.034371 Loss_D_fake -0.016362
[1672/5000][85/535][172566] Loss_D: -0.019378 Loss_G: 0.013554 Loss_D_real: -0.023524 Loss_D_fake -0.004146
[1672/5000][90/535][172567] Loss_D: -0.017777 Loss_G: -0.006719 Loss_D_real: -0.006996 Loss_D_fake 0.010781
[1672/5000][95/535][172568] Loss_D: -0.019633 Loss_G: -0.013024 Loss_D_real: 0.007256 Loss_D_fake 0.026889
[1672/5000][100/535][172569] Loss_D: -0.017163 Loss_G: 0.020890 Loss_D_real: -0.040428 Loss_D_fake -0.023265
[1672/5000][105/535][172570] Loss_D: -0.018979 Loss_G: -0.006575 Loss_D_real: -0.004935 Loss_D_fake 0.014044
[1672/5000][110/535][172571] Loss_D: -0.020131 Loss_G: 0.014604 Loss_D_real: -0.008822 Loss_D_fake 0.011309
[1672/5000][115/535][172572] Loss_D: -0.019137 Loss_G: -0.008301 Loss_D_real: -0.017867 Loss_D_fake 0.001270
[1672/5000][120/535][172573] Loss_D: -0.019839 Loss_G: 0.021830 Loss_D_real: -0.015800 Loss_D_fake 0.004039
[1672/5000][125/535][172574] Loss_D: -0.017903 Loss_G: 0.005917 Loss_D_real: -0.019032 Loss_D_fake -0.001129
[1672/5000][130/535][172575] Loss_D: -0.018703 Loss_G: 0.033807 Loss_D_real: -0.019296 Loss_D_fake -0.000593
[1672/5000][135/535][172576] Loss_D: -0.019558 Loss_G: 0.020188 Loss_D_real: -0.015051 Loss_D_fake 0.004508
[1672/5000][140/535][172577] Loss_D: -0.018896 Loss_G: -0.002092 Loss_D_real: -0.010820 Loss_D_fake 0.008076
[1672/5000][145/535][172578] Loss_D: -0.017118 Loss_G: 0.026321 Loss_D_real: -0.027152 Loss_D_fake -0.010033
[1672/5000][150/535][172579] Loss_D: -0.019032 Loss_G: 0.000063 Loss_D_real: -0.012842 Loss_D_fake 0.006189
[1672/5000][155/535][172580] Loss_D: -0.019567 Loss_G: 0.019801 Loss_D_real: -0.014339 Loss_D_fake 0.005228
[1672/5000][160/535][172581] Loss_D: -0.018134 Loss_G: 0.022526 Loss_D_real: -0.034912 Loss_D_fake -0.016778
[1672/5000][165/535][172582] Loss_D: -0.018672 Loss_G: 0.009843 Loss_D_real: -0.003895 Loss_D_fake 0.014777
[1672/5000][170/535][172583] Loss_D: -0.019996 Loss_G: -0.007254 Loss_D_real: -0.011153 Loss_D_fake 0.008842
[1672/5000][175/535][172584] Loss_D: -0.018657 Loss_G: 0.006531 Loss_D_real: -0.018295 Loss_D_fake 0.000363
[1672/5000][180/535][172585] Loss_D: -0.019964 Loss_G: -0.003838 Loss_D_real: -0.018927 Loss_D_fake 0.001037
[1672/5000][185/535][172586] Loss_D: -0.019097 Loss_G: 0.000506 Loss_D_real: -0.003879 Loss_D_fake 0.015218
[1672/5000][190/535][172587] Loss_D: -0.019661 Loss_G: 0.015735 Loss_D_real: -0.022956 Loss_D_fake -0.003295
[1672/5000][195/535][172588] Loss_D: -0.018194 Loss_G: 0.012088 Loss_D_real: -0.004862 Loss_D_fake 0.013332
[1672/5000][200/535][172589] Loss_D: -0.018002 Loss_G: 0.001712 Loss_D_real: -0.021343 Loss_D_fake -0.003341
[1672/5000][205/535][172590] Loss_D: -0.019101 Loss_G: 0.012518 Loss_D_real: -0.014752 Loss_D_fake 0.004350
[1672/5000][210/535][172591] Loss_D: -0.018278 Loss_G: -0.014106 Loss_D_real: -0.006282 Loss_D_fake 0.011997
[1672/5000][215/535][172592] Loss_D: -0.017643 Loss_G: -0.004996 Loss_D_real: -0.006312 Loss_D_fake 0.011331
[1672/5000][220/535][172593] Loss_D: -0.018049 Loss_G: -0.000294 Loss_D_real: 0.000917 Loss_D_fake 0.018966
[1672/5000][225/535][172594] Loss_D: -0.019619 Loss_G: 0.012667 Loss_D_real: -0.021959 Loss_D_fake -0.002339
[1672/5000][230/535][172595] Loss_D: -0.019417 Loss_G: 0.013214 Loss_D_real: -0.023666 Loss_D_fake -0.004249
[1672/5000][235/535][172596] Loss_D: -0.017475 Loss_G: 0.032887 Loss_D_real: -0.025587 Loss_D_fake -0.008112
[1672/5000][240/535][172597] Loss_D: -0.017226 Loss_G: 0.028278 Loss_D_real: -0.026938 Loss_D_fake -0.009712
[1672/5000][245/535][172598] Loss_D: -0.017863 Loss_G: 0.022737 Loss_D_real: -0.023371 Loss_D_fake -0.005509
[1672/5000][250/535][172599] Loss_D: -0.018348 Loss_G: -0.005588 Loss_D_real: -0.004987 Loss_D_fake 0.013361
[1672/5000][255/535][172600] Loss_D: -0.018510 Loss_G: 0.008513 Loss_D_real: -0.023324 Loss_D_fake -0.004814
[1672/5000][260/535][172601] Loss_D: -0.019657 Loss_G: 0.005490 Loss_D_real: -0.023938 Loss_D_fake -0.004281
[1672/5000][265/535][172602] Loss_D: -0.016143 Loss_G: -0.012211 Loss_D_real: 0.007221 Loss_D_fake 0.023364
[1672/5000][270/535][172603] Loss_D: -0.019581 Loss_G: 0.023300 Loss_D_real: -0.014786 Loss_D_fake 0.004795
[1672/5000][275/535][172604] Loss_D: -0.019110 Loss_G: 0.000643 Loss_D_real: -0.006256 Loss_D_fake 0.012854
[1672/5000][280/535][172605] Loss_D: -0.019298 Loss_G: 0.006225 Loss_D_real: -0.007553 Loss_D_fake 0.011745
[1672/5000][285/535][172606] Loss_D: -0.020257 Loss_G: 0.012199 Loss_D_real: -0.004553 Loss_D_fake 0.015704
[1672/5000][290/535][172607] Loss_D: -0.019216 Loss_G: -0.008215 Loss_D_real: -0.003963 Loss_D_fake 0.015252
[1672/5000][295/535][172608] Loss_D: -0.019289 Loss_G: 0.006780 Loss_D_real: -0.019962 Loss_D_fake -0.000673
[1672/5000][300/535][172609] Loss_D: -0.019412 Loss_G: 0.009065 Loss_D_real: -0.012479 Loss_D_fake 0.006933
[1672/5000][305/535][172610] Loss_D: -0.019731 Loss_G: 0.016447 Loss_D_real: -0.020282 Loss_D_fake -0.000551
[1672/5000][310/535][172611] Loss_D: -0.019045 Loss_G: 0.000342 Loss_D_real: -0.006801 Loss_D_fake 0.012244
[1672/5000][315/535][172612] Loss_D: -0.017523 Loss_G: -0.007828 Loss_D_real: -0.008557 Loss_D_fake 0.008966
[1672/5000][320/535][172613] Loss_D: -0.018837 Loss_G: 0.001085 Loss_D_real: -0.031121 Loss_D_fake -0.012284
[1672/5000][325/535][172614] Loss_D: -0.019522 Loss_G: -0.005472 Loss_D_real: -0.008335 Loss_D_fake 0.011187
[1672/5000][330/535][172615] Loss_D: -0.020065 Loss_G: 0.018793 Loss_D_real: -0.017554 Loss_D_fake 0.002510
[1672/5000][335/535][172616] Loss_D: -0.019292 Loss_G: 0.013963 Loss_D_real: -0.013137 Loss_D_fake 0.006155
[1672/5000][340/535][172617] Loss_D: -0.019841 Loss_G: -0.004071 Loss_D_real: -0.008304 Loss_D_fake 0.011538
[1672/5000][345/535][172618] Loss_D: -0.018428 Loss_G: 0.014700 Loss_D_real: -0.020042 Loss_D_fake -0.001614
[1672/5000][350/535][172619] Loss_D: -0.018323 Loss_G: 0.019227 Loss_D_real: -0.026162 Loss_D_fake -0.007839
[1672/5000][355/535][172620] Loss_D: -0.018517 Loss_G: 0.014065 Loss_D_real: -0.021334 Loss_D_fake -0.002817
[1672/5000][360/535][172621] Loss_D: -0.019625 Loss_G: 0.020602 Loss_D_real: -0.017802 Loss_D_fake 0.001823
[1672/5000][365/535][172622] Loss_D: -0.018684 Loss_G: -0.001649 Loss_D_real: -0.018496 Loss_D_fake 0.000188
[1672/5000][370/535][172623] Loss_D: -0.016065 Loss_G: -0.003194 Loss_D_real: -0.011032 Loss_D_fake 0.005032
[1672/5000][375/535][172624] Loss_D: -0.019466 Loss_G: 0.010639 Loss_D_real: -0.015576 Loss_D_fake 0.003890
[1672/5000][380/535][172625] Loss_D: -0.018313 Loss_G: 0.017050 Loss_D_real: -0.013585 Loss_D_fake 0.004728
[1672/5000][385/535][172626] Loss_D: -0.018999 Loss_G: 0.004291 Loss_D_real: -0.018143 Loss_D_fake 0.000856
[1672/5000][390/535][172627] Loss_D: -0.018649 Loss_G: 0.001093 Loss_D_real: -0.011350 Loss_D_fake 0.007299
[1672/5000][395/535][172628] Loss_D: -0.018199 Loss_G: 0.002099 Loss_D_real: -0.009531 Loss_D_fake 0.008668
[1672/5000][400/535][172629] Loss_D: -0.018128 Loss_G: 0.017113 Loss_D_real: -0.017594 Loss_D_fake 0.000535
[1672/5000][405/535][172630] Loss_D: -0.019426 Loss_G: 0.011970 Loss_D_real: 0.000046 Loss_D_fake 0.019472
[1672/5000][410/535][172631] Loss_D: -0.017515 Loss_G: 0.010204 Loss_D_real: -0.014402 Loss_D_fake 0.003113
[1672/5000][415/535][172632] Loss_D: -0.019556 Loss_G: -0.000683 Loss_D_real: -0.009398 Loss_D_fake 0.010158
[1672/5000][420/535][172633] Loss_D: -0.017574 Loss_G: 0.034269 Loss_D_real: -0.033536 Loss_D_fake -0.015962
[1672/5000][425/535][172634] Loss_D: -0.019411 Loss_G: 0.006108 Loss_D_real: -0.014831 Loss_D_fake 0.004580
[1672/5000][430/535][172635] Loss_D: -0.017282 Loss_G: 0.014819 Loss_D_real: -0.021522 Loss_D_fake -0.004239
[1672/5000][435/535][172636] Loss_D: -0.019648 Loss_G: -0.005095 Loss_D_real: -0.007739 Loss_D_fake 0.011910
[1672/5000][440/535][172637] Loss_D: -0.019731 Loss_G: 0.004000 Loss_D_real: -0.019409 Loss_D_fake 0.000322
[1672/5000][445/535][172638] Loss_D: -0.019127 Loss_G: 0.001586 Loss_D_real: -0.005034 Loss_D_fake 0.014093
[1672/5000][450/535][172639] Loss_D: -0.017955 Loss_G: -0.006237 Loss_D_real: 0.001374 Loss_D_fake 0.019329
[1672/5000][455/535][172640] Loss_D: -0.018347 Loss_G: 0.001429 Loss_D_real: -0.014647 Loss_D_fake 0.003700
[1672/5000][460/535][172641] Loss_D: -0.019687 Loss_G: 0.014134 Loss_D_real: -0.012520 Loss_D_fake 0.007167
[1672/5000][465/535][172642] Loss_D: -0.019327 Loss_G: -0.020571 Loss_D_real: -0.001821 Loss_D_fake 0.017506
[1672/5000][470/535][172643] Loss_D: -0.019921 Loss_G: -0.022649 Loss_D_real: 0.000865 Loss_D_fake 0.020786
[1672/5000][475/535][172644] Loss_D: -0.021045 Loss_G: -0.002274 Loss_D_real: -0.008301 Loss_D_fake 0.012744
[1672/5000][480/535][172645] Loss_D: -0.019122 Loss_G: 0.033463 Loss_D_real: -0.028685 Loss_D_fake -0.009563
[1672/5000][485/535][172646] Loss_D: -0.019288 Loss_G: 0.015649 Loss_D_real: -0.035657 Loss_D_fake -0.016370
[1672/5000][490/535][172647] Loss_D: -0.020642 Loss_G: 0.010319 Loss_D_real: -0.006312 Loss_D_fake 0.014330
[1672/5000][495/535][172648] Loss_D: -0.017847 Loss_G: -0.005426 Loss_D_real: -0.020739 Loss_D_fake -0.002893
[1672/5000][500/535][172649] Loss_D: -0.018845 Loss_G: 0.010369 Loss_D_real: 0.001038 Loss_D_fake 0.019882
[1672/5000][505/535][172650] Loss_D: -0.017661 Loss_G: -0.019674 Loss_D_real: -0.002152 Loss_D_fake 0.015509
[1672/5000][510/535][172651] Loss_D: -0.017670 Loss_G: -0.010113 Loss_D_real: 0.002093 Loss_D_fake 0.019763
[1672/5000][515/535][172652] Loss_D: -0.018470 Loss_G: 0.000191 Loss_D_real: -0.006485 Loss_D_fake 0.011985
[1672/5000][520/535][172653] Loss_D: -0.019319 Loss_G: 0.006736 Loss_D_real: -0.016474 Loss_D_fake 0.002845
[1672/5000][525/535][172654] Loss_D: -0.019289 Loss_G: 0.017219 Loss_D_real: -0.019260 Loss_D_fake 0.000028
[1672/5000][530/535][172655] Loss_D: -0.017406 Loss_G: 0.013459 Loss_D_real: -0.032438 Loss_D_fake -0.015032
[1672/5000][535/535][172656] Loss_D: -0.021631 Loss_G: 0.011507 Loss_D_real: -0.034951 Loss_D_fake -0.013320
[1673/5000][5/535][172657] Loss_D: -0.018730 Loss_G: 0.017296 Loss_D_real: -0.013296 Loss_D_fake 0.005434
[1673/5000][10/535][172658] Loss_D: -0.018374 Loss_G: 0.014182 Loss_D_real: -0.013822 Loss_D_fake 0.004552
[1673/5000][15/535][172659] Loss_D: -0.018585 Loss_G: 0.007818 Loss_D_real: -0.029809 Loss_D_fake -0.011224
[1673/5000][20/535][172660] Loss_D: -0.019257 Loss_G: 0.008708 Loss_D_real: -0.009836 Loss_D_fake 0.009421
[1673/5000][25/535][172661] Loss_D: -0.017747 Loss_G: -0.004252 Loss_D_real: -0.020459 Loss_D_fake -0.002712
[1673/5000][30/535][172662] Loss_D: -0.018314 Loss_G: -0.002066 Loss_D_real: 0.002114 Loss_D_fake 0.020428
[1673/5000][35/535][172663] Loss_D: -0.017761 Loss_G: -0.005653 Loss_D_real: -0.004642 Loss_D_fake 0.013120
[1673/5000][40/535][172664] Loss_D: -0.020670 Loss_G: 0.009878 Loss_D_real: -0.013178 Loss_D_fake 0.007492
[1673/5000][45/535][172665] Loss_D: -0.019383 Loss_G: 0.003833 Loss_D_real: -0.010936 Loss_D_fake 0.008447
[1673/5000][50/535][172666] Loss_D: -0.019722 Loss_G: -0.003291 Loss_D_real: -0.006403 Loss_D_fake 0.013319
[1673/5000][55/535][172667] Loss_D: -0.018547 Loss_G: -0.011794 Loss_D_real: -0.010572 Loss_D_fake 0.007974
[1673/5000][60/535][172668] Loss_D: -0.018619 Loss_G: 0.004551 Loss_D_real: -0.006723 Loss_D_fake 0.011895
[1673/5000][65/535][172669] Loss_D: -0.019422 Loss_G: 0.015013 Loss_D_real: -0.022065 Loss_D_fake -0.002643
[1673/5000][70/535][172670] Loss_D: -0.017413 Loss_G: -0.021636 Loss_D_real: 0.001353 Loss_D_fake 0.018766
[1673/5000][75/535][172671] Loss_D: -0.017712 Loss_G: -0.022799 Loss_D_real: 0.001917 Loss_D_fake 0.019629
[1673/5000][80/535][172672] Loss_D: -0.019597 Loss_G: 0.013765 Loss_D_real: -0.002397 Loss_D_fake 0.017199
[1673/5000][85/535][172673] Loss_D: -0.017648 Loss_G: 0.015177 Loss_D_real: -0.026205 Loss_D_fake -0.008557
[1673/5000][90/535][172674] Loss_D: -0.018831 Loss_G: 0.020941 Loss_D_real: -0.012581 Loss_D_fake 0.006250
[1673/5000][95/535][172675] Loss_D: -0.019793 Loss_G: 0.010260 Loss_D_real: -0.027075 Loss_D_fake -0.007282
[1673/5000][100/535][172676] Loss_D: -0.019590 Loss_G: 0.002876 Loss_D_real: -0.008329 Loss_D_fake 0.011261
[1673/5000][105/535][172677] Loss_D: -0.018547 Loss_G: -0.006678 Loss_D_real: -0.007438 Loss_D_fake 0.011109
[1673/5000][110/535][172678] Loss_D: -0.018698 Loss_G: 0.018881 Loss_D_real: -0.031323 Loss_D_fake -0.012625
[1673/5000][115/535][172679] Loss_D: -0.020043 Loss_G: -0.002833 Loss_D_real: -0.009547 Loss_D_fake 0.010496
[1673/5000][120/535][172680] Loss_D: -0.019087 Loss_G: 0.022922 Loss_D_real: -0.022690 Loss_D_fake -0.003603
[1673/5000][125/535][172681] Loss_D: -0.019248 Loss_G: 0.009576 Loss_D_real: -0.031358 Loss_D_fake -0.012111
[1673/5000][130/535][172682] Loss_D: -0.018647 Loss_G: -0.015328 Loss_D_real: -0.005644 Loss_D_fake 0.013002
[1673/5000][135/535][172683] Loss_D: -0.019489 Loss_G: 0.029117 Loss_D_real: -0.029532 Loss_D_fake -0.010043
[1673/5000][140/535][172684] Loss_D: -0.019191 Loss_G: -0.009947 Loss_D_real: -0.007188 Loss_D_fake 0.012003
[1673/5000][145/535][172685] Loss_D: -0.019169 Loss_G: 0.005008 Loss_D_real: -0.015901 Loss_D_fake 0.003269
[1673/5000][150/535][172686] Loss_D: -0.018462 Loss_G: 0.011920 Loss_D_real: -0.018607 Loss_D_fake -0.000145
[1673/5000][155/535][172687] Loss_D: -0.018610 Loss_G: 0.011565 Loss_D_real: -0.025283 Loss_D_fake -0.006673
[1673/5000][160/535][172688] Loss_D: -0.019234 Loss_G: 0.010089 Loss_D_real: -0.015866 Loss_D_fake 0.003368
[1673/5000][165/535][172689] Loss_D: -0.019773 Loss_G: 0.008142 Loss_D_real: -0.029092 Loss_D_fake -0.009319
[1673/5000][170/535][172690] Loss_D: -0.019305 Loss_G: 0.002376 Loss_D_real: -0.020014 Loss_D_fake -0.000709
[1673/5000][175/535][172691] Loss_D: -0.018168 Loss_G: -0.003650 Loss_D_real: -0.011127 Loss_D_fake 0.007041
[1673/5000][180/535][172692] Loss_D: -0.018101 Loss_G: -0.006439 Loss_D_real: -0.000821 Loss_D_fake 0.017280
[1673/5000][185/535][172693] Loss_D: -0.019489 Loss_G: 0.004243 Loss_D_real: -0.010050 Loss_D_fake 0.009439
[1673/5000][190/535][172694] Loss_D: -0.018384 Loss_G: 0.015807 Loss_D_real: -0.016939 Loss_D_fake 0.001445
[1673/5000][195/535][172695] Loss_D: -0.018862 Loss_G: 0.009404 Loss_D_real: -0.011792 Loss_D_fake 0.007069
[1673/5000][200/535][172696] Loss_D: -0.017835 Loss_G: 0.026482 Loss_D_real: -0.027119 Loss_D_fake -0.009284
[1673/5000][205/535][172697] Loss_D: -0.017609 Loss_G: -0.014241 Loss_D_real: 0.001696 Loss_D_fake 0.019305
[1673/5000][210/535][172698] Loss_D: -0.018567 Loss_G: 0.015638 Loss_D_real: -0.021460 Loss_D_fake -0.002893
[1673/5000][215/535][172699] Loss_D: -0.019371 Loss_G: 0.000447 Loss_D_real: -0.002541 Loss_D_fake 0.016830
[1673/5000][220/535][172700] Loss_D: -0.020128 Loss_G: 0.005296 Loss_D_real: -0.024029 Loss_D_fake -0.003901
[1673/5000][225/535][172701] Loss_D: -0.019875 Loss_G: 0.009549 Loss_D_real: -0.006143 Loss_D_fake 0.013731
[1673/5000][230/535][172702] Loss_D: -0.020402 Loss_G: 0.006375 Loss_D_real: -0.020270 Loss_D_fake 0.000132
[1673/5000][235/535][172703] Loss_D: -0.019066 Loss_G: 0.002830 Loss_D_real: -0.010122 Loss_D_fake 0.008944
[1673/5000][240/535][172704] Loss_D: -0.018969 Loss_G: 0.016768 Loss_D_real: -0.008267 Loss_D_fake 0.010701
[1673/5000][245/535][172705] Loss_D: -0.018891 Loss_G: 0.011339 Loss_D_real: -0.019973 Loss_D_fake -0.001083
[1673/5000][250/535][172706] Loss_D: -0.018709 Loss_G: -0.005449 Loss_D_real: -0.009624 Loss_D_fake 0.009085
[1673/5000][255/535][172707] Loss_D: -0.019321 Loss_G: 0.020602 Loss_D_real: -0.018394 Loss_D_fake 0.000927
[1673/5000][260/535][172708] Loss_D: -0.020151 Loss_G: 0.000304 Loss_D_real: -0.029515 Loss_D_fake -0.009364
[1673/5000][265/535][172709] Loss_D: -0.018781 Loss_G: 0.000120 Loss_D_real: -0.014140 Loss_D_fake 0.004641
[1673/5000][270/535][172710] Loss_D: -0.019694 Loss_G: 0.007828 Loss_D_real: -0.011891 Loss_D_fake 0.007803
[1673/5000][275/535][172711] Loss_D: -0.018182 Loss_G: 0.001511 Loss_D_real: -0.007789 Loss_D_fake 0.010393
[1673/5000][280/535][172712] Loss_D: -0.018731 Loss_G: 0.017231 Loss_D_real: -0.024241 Loss_D_fake -0.005510
[1673/5000][285/535][172713] Loss_D: -0.018178 Loss_G: 0.000145 Loss_D_real: -0.013067 Loss_D_fake 0.005111
[1673/5000][290/535][172714] Loss_D: -0.018127 Loss_G: 0.007143 Loss_D_real: -0.008833 Loss_D_fake 0.009294
[1673/5000][295/535][172715] Loss_D: -0.019075 Loss_G: 0.002444 Loss_D_real: -0.015646 Loss_D_fake 0.003429
[1673/5000][300/535][172716] Loss_D: -0.015584 Loss_G: 0.015853 Loss_D_real: -0.029567 Loss_D_fake -0.013983
[1673/5000][305/535][172717] Loss_D: -0.018999 Loss_G: 0.004209 Loss_D_real: -0.014180 Loss_D_fake 0.004819
[1673/5000][310/535][172718] Loss_D: -0.017843 Loss_G: 0.005480 Loss_D_real: 0.000208 Loss_D_fake 0.018051
[1673/5000][315/535][172719] Loss_D: -0.019256 Loss_G: 0.009732 Loss_D_real: -0.006377 Loss_D_fake 0.012879
[1673/5000][320/535][172720] Loss_D: -0.017922 Loss_G: -0.002706 Loss_D_real: -0.018984 Loss_D_fake -0.001061
[1673/5000][325/535][172721] Loss_D: -0.017666 Loss_G: -0.006672 Loss_D_real: -0.001875 Loss_D_fake 0.015791
[1673/5000][330/535][172722] Loss_D: -0.018829 Loss_G: -0.002685 Loss_D_real: -0.001867 Loss_D_fake 0.016962
[1673/5000][335/535][172723] Loss_D: -0.018261 Loss_G: 0.015991 Loss_D_real: -0.015963 Loss_D_fake 0.002297
[1673/5000][340/535][172724] Loss_D: -0.018524 Loss_G: 0.006645 Loss_D_real: -0.020604 Loss_D_fake -0.002080
[1673/5000][345/535][172725] Loss_D: -0.018866 Loss_G: 0.018816 Loss_D_real: -0.014950 Loss_D_fake 0.003916
[1673/5000][350/535][172726] Loss_D: -0.019966 Loss_G: 0.012657 Loss_D_real: -0.021148 Loss_D_fake -0.001182
[1673/5000][355/535][172727] Loss_D: -0.018055 Loss_G: 0.031296 Loss_D_real: -0.032214 Loss_D_fake -0.014159
[1673/5000][360/535][172728] Loss_D: -0.019272 Loss_G: -0.010172 Loss_D_real: -0.007057 Loss_D_fake 0.012214
[1673/5000][365/535][172729] Loss_D: -0.018106 Loss_G: 0.019140 Loss_D_real: -0.017187 Loss_D_fake 0.000919
[1673/5000][370/535][172730] Loss_D: -0.019212 Loss_G: 0.000785 Loss_D_real: -0.017602 Loss_D_fake 0.001610
[1673/5000][375/535][172731] Loss_D: -0.018666 Loss_G: 0.022877 Loss_D_real: -0.022053 Loss_D_fake -0.003387
[1673/5000][380/535][172732] Loss_D: -0.019288 Loss_G: 0.016932 Loss_D_real: -0.030523 Loss_D_fake -0.011234
[1673/5000][385/535][172733] Loss_D: -0.019897 Loss_G: 0.007960 Loss_D_real: -0.017267 Loss_D_fake 0.002631
[1673/5000][390/535][172734] Loss_D: -0.020012 Loss_G: 0.017743 Loss_D_real: -0.036160 Loss_D_fake -0.016148
[1673/5000][395/535][172735] Loss_D: -0.018951 Loss_G: 0.017443 Loss_D_real: -0.022521 Loss_D_fake -0.003570
[1673/5000][400/535][172736] Loss_D: -0.019352 Loss_G: -0.012993 Loss_D_real: -0.010141 Loss_D_fake 0.009211
[1673/5000][405/535][172737] Loss_D: -0.018813 Loss_G: -0.001578 Loss_D_real: 0.003694 Loss_D_fake 0.022506
[1673/5000][410/535][172738] Loss_D: -0.020133 Loss_G: 0.006244 Loss_D_real: -0.019616 Loss_D_fake 0.000517
[1673/5000][415/535][172739] Loss_D: -0.019336 Loss_G: 0.020305 Loss_D_real: -0.018129 Loss_D_fake 0.001207
[1673/5000][420/535][172740] Loss_D: -0.019539 Loss_G: 0.002127 Loss_D_real: -0.011105 Loss_D_fake 0.008435
[1673/5000][425/535][172741] Loss_D: -0.019224 Loss_G: 0.019507 Loss_D_real: -0.030451 Loss_D_fake -0.011227
[1673/5000][430/535][172742] Loss_D: -0.019317 Loss_G: 0.004865 Loss_D_real: -0.013517 Loss_D_fake 0.005801
[1673/5000][435/535][172743] Loss_D: -0.018379 Loss_G: -0.008499 Loss_D_real: -0.013731 Loss_D_fake 0.004649
[1673/5000][440/535][172744] Loss_D: -0.018612 Loss_G: 0.019161 Loss_D_real: -0.022979 Loss_D_fake -0.004367
[1673/5000][445/535][172745] Loss_D: -0.018106 Loss_G: 0.011134 Loss_D_real: -0.008586 Loss_D_fake 0.009520
[1673/5000][450/535][172746] Loss_D: -0.018753 Loss_G: 0.003390 Loss_D_real: -0.011892 Loss_D_fake 0.006861
[1673/5000][455/535][172747] Loss_D: -0.017976 Loss_G: 0.018187 Loss_D_real: -0.022283 Loss_D_fake -0.004307
[1673/5000][460/535][172748] Loss_D: -0.018744 Loss_G: -0.010040 Loss_D_real: 0.001576 Loss_D_fake 0.020320
[1673/5000][465/535][172749] Loss_D: -0.019252 Loss_G: 0.009878 Loss_D_real: -0.014792 Loss_D_fake 0.004461
[1673/5000][470/535][172750] Loss_D: -0.020159 Loss_G: 0.009459 Loss_D_real: -0.019518 Loss_D_fake 0.000641
[1673/5000][475/535][172751] Loss_D: -0.019444 Loss_G: 0.019759 Loss_D_real: -0.011249 Loss_D_fake 0.008195
[1673/5000][480/535][172752] Loss_D: -0.018427 Loss_G: -0.008919 Loss_D_real: -0.003268 Loss_D_fake 0.015159
[1673/5000][485/535][172753] Loss_D: -0.020312 Loss_G: 0.011243 Loss_D_real: -0.012721 Loss_D_fake 0.007591
[1673/5000][490/535][172754] Loss_D: -0.019920 Loss_G: 0.001917 Loss_D_real: -0.016270 Loss_D_fake 0.003651
[1673/5000][495/535][172755] Loss_D: -0.018038 Loss_G: 0.020211 Loss_D_real: -0.027974 Loss_D_fake -0.009936
[1673/5000][500/535][172756] Loss_D: -0.017050 Loss_G: 0.021223 Loss_D_real: -0.026006 Loss_D_fake -0.008956
[1673/5000][505/535][172757] Loss_D: -0.015345 Loss_G: 0.024639 Loss_D_real: -0.027108 Loss_D_fake -0.011763
[1673/5000][510/535][172758] Loss_D: -0.017724 Loss_G: 0.010657 Loss_D_real: -0.026290 Loss_D_fake -0.008566
[1673/5000][515/535][172759] Loss_D: -0.019146 Loss_G: -0.012434 Loss_D_real: -0.009250 Loss_D_fake 0.009896
[1673/5000][520/535][172760] Loss_D: -0.020513 Loss_G: -0.011922 Loss_D_real: -0.023807 Loss_D_fake -0.003294
[1673/5000][525/535][172761] Loss_D: -0.019016 Loss_G: 0.012585 Loss_D_real: -0.019547 Loss_D_fake -0.000531
[1673/5000][530/535][172762] Loss_D: -0.019226 Loss_G: 0.012432 Loss_D_real: -0.007306 Loss_D_fake 0.011921
[1673/5000][535/535][172763] Loss_D: -0.017956 Loss_G: -0.012712 Loss_D_real: -0.014455 Loss_D_fake 0.003501
[1674/5000][5/535][172764] Loss_D: -0.018329 Loss_G: 0.019406 Loss_D_real: -0.024813 Loss_D_fake -0.006484
[1674/5000][10/535][172765] Loss_D: -0.018306 Loss_G: 0.002859 Loss_D_real: -0.009459 Loss_D_fake 0.008847
[1674/5000][15/535][172766] Loss_D: -0.019310 Loss_G: 0.002603 Loss_D_real: -0.014470 Loss_D_fake 0.004840
[1674/5000][20/535][172767] Loss_D: -0.019163 Loss_G: 0.025235 Loss_D_real: -0.014319 Loss_D_fake 0.004845
[1674/5000][25/535][172768] Loss_D: -0.017042 Loss_G: -0.015729 Loss_D_real: 0.011952 Loss_D_fake 0.028994
[1674/5000][30/535][172769] Loss_D: -0.018831 Loss_G: 0.016595 Loss_D_real: -0.013787 Loss_D_fake 0.005044
[1674/5000][35/535][172770] Loss_D: -0.018061 Loss_G: 0.017316 Loss_D_real: -0.025411 Loss_D_fake -0.007349
[1674/5000][40/535][172771] Loss_D: -0.018619 Loss_G: 0.010334 Loss_D_real: -0.009687 Loss_D_fake 0.008932
[1674/5000][45/535][172772] Loss_D: -0.016951 Loss_G: 0.028751 Loss_D_real: -0.025039 Loss_D_fake -0.008088
[1674/5000][50/535][172773] Loss_D: -0.019581 Loss_G: 0.004242 Loss_D_real: -0.016803 Loss_D_fake 0.002778
[1674/5000][55/535][172774] Loss_D: -0.017979 Loss_G: 0.005024 Loss_D_real: 0.002008 Loss_D_fake 0.019987
[1674/5000][60/535][172775] Loss_D: -0.017918 Loss_G: -0.004841 Loss_D_real: -0.012296 Loss_D_fake 0.005623
[1674/5000][65/535][172776] Loss_D: -0.019781 Loss_G: -0.008594 Loss_D_real: -0.003340 Loss_D_fake 0.016441
[1674/5000][70/535][172777] Loss_D: -0.018706 Loss_G: 0.013696 Loss_D_real: -0.012679 Loss_D_fake 0.006026
[1674/5000][75/535][172778] Loss_D: -0.017879 Loss_G: -0.004441 Loss_D_real: -0.008141 Loss_D_fake 0.009737
[1674/5000][80/535][172779] Loss_D: -0.019503 Loss_G: 0.008880 Loss_D_real: -0.006849 Loss_D_fake 0.012654
[1674/5000][85/535][172780] Loss_D: -0.018346 Loss_G: 0.005974 Loss_D_real: -0.001695 Loss_D_fake 0.016651
[1674/5000][90/535][172781] Loss_D: -0.019100 Loss_G: 0.021823 Loss_D_real: -0.022014 Loss_D_fake -0.002914
[1674/5000][95/535][172782] Loss_D: -0.018662 Loss_G: 0.023529 Loss_D_real: -0.019709 Loss_D_fake -0.001047
[1674/5000][100/535][172783] Loss_D: -0.019178 Loss_G: -0.005739 Loss_D_real: -0.009167 Loss_D_fake 0.010012
[1674/5000][105/535][172784] Loss_D: -0.019356 Loss_G: -0.003204 Loss_D_real: -0.006519 Loss_D_fake 0.012837
[1674/5000][110/535][172785] Loss_D: -0.019215 Loss_G: 0.018549 Loss_D_real: -0.030838 Loss_D_fake -0.011624
[1674/5000][115/535][172786] Loss_D: -0.019035 Loss_G: 0.005792 Loss_D_real: -0.000806 Loss_D_fake 0.018229
[1674/5000][120/535][172787] Loss_D: -0.018871 Loss_G: -0.000673 Loss_D_real: -0.020932 Loss_D_fake -0.002061
[1674/5000][125/535][172788] Loss_D: -0.017379 Loss_G: -0.002285 Loss_D_real: -0.010776 Loss_D_fake 0.006603
[1674/5000][130/535][172789] Loss_D: -0.018838 Loss_G: 0.007708 Loss_D_real: -0.025251 Loss_D_fake -0.006412
[1674/5000][135/535][172790] Loss_D: -0.019336 Loss_G: 0.018792 Loss_D_real: -0.025827 Loss_D_fake -0.006491
[1674/5000][140/535][172791] Loss_D: -0.019651 Loss_G: 0.018496 Loss_D_real: -0.018863 Loss_D_fake 0.000788
[1674/5000][145/535][172792] Loss_D: -0.019302 Loss_G: 0.022102 Loss_D_real: -0.027485 Loss_D_fake -0.008182
[1674/5000][150/535][172793] Loss_D: -0.018579 Loss_G: 0.019642 Loss_D_real: -0.025175 Loss_D_fake -0.006596
[1674/5000][155/535][172794] Loss_D: -0.020224 Loss_G: 0.000075 Loss_D_real: -0.024556 Loss_D_fake -0.004332
[1674/5000][160/535][172795] Loss_D: -0.019465 Loss_G: -0.002349 Loss_D_real: -0.016774 Loss_D_fake 0.002691
[1674/5000][165/535][172796] Loss_D: -0.018396 Loss_G: 0.019806 Loss_D_real: -0.024201 Loss_D_fake -0.005804
[1674/5000][170/535][172797] Loss_D: -0.019291 Loss_G: 0.018862 Loss_D_real: -0.009515 Loss_D_fake 0.009776
[1674/5000][175/535][172798] Loss_D: -0.017298 Loss_G: 0.011603 Loss_D_real: -0.020322 Loss_D_fake -0.003024
[1674/5000][180/535][172799] Loss_D: -0.018621 Loss_G: 0.020242 Loss_D_real: -0.022749 Loss_D_fake -0.004128
[1674/5000][185/535][172800] Loss_D: -0.019141 Loss_G: -0.000088 Loss_D_real: -0.012036 Loss_D_fake 0.007106
[1674/5000][190/535][172801] Loss_D: -0.020244 Loss_G: 0.002436 Loss_D_real: -0.016903 Loss_D_fake 0.003341
[1674/5000][195/535][172802] Loss_D: -0.018887 Loss_G: 0.017717 Loss_D_real: -0.014438 Loss_D_fake 0.004449
[1674/5000][200/535][172803] Loss_D: -0.018279 Loss_G: 0.010158 Loss_D_real: -0.026737 Loss_D_fake -0.008459
[1674/5000][205/535][172804] Loss_D: -0.019268 Loss_G: 0.013357 Loss_D_real: -0.011384 Loss_D_fake 0.007884
[1674/5000][210/535][172805] Loss_D: -0.018311 Loss_G: -0.002037 Loss_D_real: 0.003478 Loss_D_fake 0.021789
[1674/5000][215/535][172806] Loss_D: -0.017878 Loss_G: 0.015688 Loss_D_real: -0.029032 Loss_D_fake -0.011154
[1674/5000][220/535][172807] Loss_D: -0.019742 Loss_G: 0.004511 Loss_D_real: -0.004385 Loss_D_fake 0.015357
[1674/5000][225/535][172808] Loss_D: -0.017280 Loss_G: 0.012958 Loss_D_real: -0.020806 Loss_D_fake -0.003527
[1674/5000][230/535][172809] Loss_D: -0.018357 Loss_G: 0.017443 Loss_D_real: -0.023355 Loss_D_fake -0.004998
[1674/5000][235/535][172810] Loss_D: -0.019421 Loss_G: 0.002695 Loss_D_real: -0.008600 Loss_D_fake 0.010821
[1674/5000][240/535][172811] Loss_D: -0.020410 Loss_G: -0.000786 Loss_D_real: -0.008728 Loss_D_fake 0.011683
[1674/5000][245/535][172812] Loss_D: -0.018650 Loss_G: 0.017114 Loss_D_real: -0.027708 Loss_D_fake -0.009058
[1674/5000][250/535][172813] Loss_D: -0.018929 Loss_G: 0.009281 Loss_D_real: -0.021427 Loss_D_fake -0.002498
[1674/5000][255/535][172814] Loss_D: -0.016458 Loss_G: 0.028954 Loss_D_real: -0.024760 Loss_D_fake -0.008302
[1674/5000][260/535][172815] Loss_D: -0.019985 Loss_G: 0.007774 Loss_D_real: -0.012366 Loss_D_fake 0.007619
[1674/5000][265/535][172816] Loss_D: -0.018124 Loss_G: 0.008116 Loss_D_real: -0.009456 Loss_D_fake 0.008668
[1674/5000][270/535][172817] Loss_D: -0.018902 Loss_G: 0.009836 Loss_D_real: -0.016187 Loss_D_fake 0.002714
[1674/5000][275/535][172818] Loss_D: -0.018980 Loss_G: -0.007992 Loss_D_real: 0.002403 Loss_D_fake 0.021383
[1674/5000][280/535][172819] Loss_D: -0.019201 Loss_G: -0.010435 Loss_D_real: -0.018500 Loss_D_fake 0.000701
[1674/5000][285/535][172820] Loss_D: -0.017454 Loss_G: 0.006768 Loss_D_real: -0.004638 Loss_D_fake 0.012815
[1674/5000][290/535][172821] Loss_D: -0.020247 Loss_G: 0.020043 Loss_D_real: -0.022295 Loss_D_fake -0.002048
[1674/5000][295/535][172822] Loss_D: -0.018558 Loss_G: -0.002710 Loss_D_real: 0.003492 Loss_D_fake 0.022049
[1674/5000][300/535][172823] Loss_D: -0.018588 Loss_G: -0.008224 Loss_D_real: -0.008524 Loss_D_fake 0.010065
[1674/5000][305/535][172824] Loss_D: -0.018647 Loss_G: 0.009441 Loss_D_real: -0.019354 Loss_D_fake -0.000707
[1674/5000][310/535][172825] Loss_D: -0.018692 Loss_G: 0.008596 Loss_D_real: -0.014719 Loss_D_fake 0.003973
[1674/5000][315/535][172826] Loss_D: -0.018627 Loss_G: -0.010102 Loss_D_real: 0.007223 Loss_D_fake 0.025850
[1674/5000][320/535][172827] Loss_D: -0.018439 Loss_G: -0.004045 Loss_D_real: -0.000884 Loss_D_fake 0.017555
[1674/5000][325/535][172828] Loss_D: -0.018284 Loss_G: -0.004853 Loss_D_real: -0.017347 Loss_D_fake 0.000937
[1674/5000][330/535][172829] Loss_D: -0.018458 Loss_G: 0.008682 Loss_D_real: -0.021069 Loss_D_fake -0.002612
[1674/5000][335/535][172830] Loss_D: -0.017184 Loss_G: -0.006381 Loss_D_real: -0.015622 Loss_D_fake 0.001562
[1674/5000][340/535][172831] Loss_D: -0.018329 Loss_G: 0.034145 Loss_D_real: -0.021670 Loss_D_fake -0.003341
[1674/5000][345/535][172832] Loss_D: -0.019061 Loss_G: 0.000942 Loss_D_real: -0.024875 Loss_D_fake -0.005814
[1674/5000][350/535][172833] Loss_D: -0.020066 Loss_G: 0.003931 Loss_D_real: -0.001713 Loss_D_fake 0.018353
[1674/5000][355/535][172834] Loss_D: -0.018735 Loss_G: -0.000489 Loss_D_real: -0.016003 Loss_D_fake 0.002732
[1674/5000][360/535][172835] Loss_D: -0.018766 Loss_G: 0.013721 Loss_D_real: -0.011635 Loss_D_fake 0.007131
[1674/5000][365/535][172836] Loss_D: -0.018663 Loss_G: -0.009879 Loss_D_real: -0.006552 Loss_D_fake 0.012111
[1674/5000][370/535][172837] Loss_D: -0.017977 Loss_G: 0.002436 Loss_D_real: -0.014580 Loss_D_fake 0.003397
[1674/5000][375/535][172838] Loss_D: -0.018229 Loss_G: -0.011428 Loss_D_real: -0.002474 Loss_D_fake 0.015755
[1674/5000][380/535][172839] Loss_D: -0.019470 Loss_G: 0.024675 Loss_D_real: -0.014057 Loss_D_fake 0.005413
[1674/5000][385/535][172840] Loss_D: -0.018786 Loss_G: 0.004763 Loss_D_real: -0.018618 Loss_D_fake 0.000168
[1674/5000][390/535][172841] Loss_D: -0.020089 Loss_G: 0.010591 Loss_D_real: -0.016364 Loss_D_fake 0.003725
[1674/5000][395/535][172842] Loss_D: -0.020851 Loss_G: 0.017021 Loss_D_real: -0.021989 Loss_D_fake -0.001138
[1674/5000][400/535][172843] Loss_D: -0.018035 Loss_G: -0.013314 Loss_D_real: 0.004687 Loss_D_fake 0.022722
[1674/5000][405/535][172844] Loss_D: -0.019458 Loss_G: 0.007426 Loss_D_real: 0.000058 Loss_D_fake 0.019516
[1674/5000][410/535][172845] Loss_D: -0.018932 Loss_G: -0.001344 Loss_D_real: -0.013371 Loss_D_fake 0.005562
[1674/5000][415/535][172846] Loss_D: -0.020496 Loss_G: 0.020559 Loss_D_real: -0.019332 Loss_D_fake 0.001164
[1674/5000][420/535][172847] Loss_D: -0.019756 Loss_G: 0.001908 Loss_D_real: -0.014316 Loss_D_fake 0.005440
[1674/5000][425/535][172848] Loss_D: -0.019298 Loss_G: -0.008287 Loss_D_real: 0.001529 Loss_D_fake 0.020827
[1674/5000][430/535][172849] Loss_D: -0.017674 Loss_G: 0.007423 Loss_D_real: -0.020677 Loss_D_fake -0.003003
[1674/5000][435/535][172850] Loss_D: -0.018010 Loss_G: -0.004089 Loss_D_real: -0.012527 Loss_D_fake 0.005483
[1674/5000][440/535][172851] Loss_D: -0.018186 Loss_G: -0.007208 Loss_D_real: -0.003246 Loss_D_fake 0.014940
[1674/5000][445/535][172852] Loss_D: -0.018582 Loss_G: -0.001324 Loss_D_real: -0.008665 Loss_D_fake 0.009918
[1674/5000][450/535][172853] Loss_D: -0.020271 Loss_G: 0.003160 Loss_D_real: -0.009169 Loss_D_fake 0.011102
[1674/5000][455/535][172854] Loss_D: -0.019651 Loss_G: 0.013007 Loss_D_real: -0.011187 Loss_D_fake 0.008464
[1674/5000][460/535][172855] Loss_D: -0.018261 Loss_G: -0.007036 Loss_D_real: -0.018031 Loss_D_fake 0.000230
[1674/5000][465/535][172856] Loss_D: -0.018033 Loss_G: -0.010666 Loss_D_real: -0.008266 Loss_D_fake 0.009767
[1674/5000][470/535][172857] Loss_D: -0.018294 Loss_G: 0.025272 Loss_D_real: -0.026968 Loss_D_fake -0.008674
[1674/5000][475/535][172858] Loss_D: -0.018148 Loss_G: 0.006410 Loss_D_real: -0.012544 Loss_D_fake 0.005604
[1674/5000][480/535][172859] Loss_D: -0.019414 Loss_G: 0.010717 Loss_D_real: -0.017109 Loss_D_fake 0.002305
[1674/5000][485/535][172860] Loss_D: -0.020127 Loss_G: -0.003748 Loss_D_real: -0.012664 Loss_D_fake 0.007463
[1674/5000][490/535][172861] Loss_D: -0.019125 Loss_G: -0.008304 Loss_D_real: -0.007906 Loss_D_fake 0.011219
[1674/5000][495/535][172862] Loss_D: -0.019592 Loss_G: 0.009024 Loss_D_real: 0.001461 Loss_D_fake 0.021053
[1674/5000][500/535][172863] Loss_D: -0.019603 Loss_G: 0.003428 Loss_D_real: -0.001980 Loss_D_fake 0.017623
[1674/5000][505/535][172864] Loss_D: -0.019680 Loss_G: 0.014731 Loss_D_real: -0.010045 Loss_D_fake 0.009635
[1674/5000][510/535][172865] Loss_D: -0.018305 Loss_G: 0.002031 Loss_D_real: -0.021210 Loss_D_fake -0.002905
[1674/5000][515/535][172866] Loss_D: -0.018981 Loss_G: 0.007317 Loss_D_real: -0.017465 Loss_D_fake 0.001516
[1674/5000][520/535][172867] Loss_D: -0.019255 Loss_G: 0.022907 Loss_D_real: -0.017519 Loss_D_fake 0.001736
[1674/5000][525/535][172868] Loss_D: -0.019114 Loss_G: 0.005685 Loss_D_real: -0.008552 Loss_D_fake 0.010562
[1674/5000][530/535][172869] Loss_D: -0.019001 Loss_G: -0.009620 Loss_D_real: -0.007448 Loss_D_fake 0.011553
[1674/5000][535/535][172870] Loss_D: -0.017967 Loss_G: -0.021483 Loss_D_real: 0.008480 Loss_D_fake 0.026447
[1675/5000][5/535][172871] Loss_D: -0.018622 Loss_G: 0.000125 Loss_D_real: -0.007261 Loss_D_fake 0.011360
[1675/5000][10/535][172872] Loss_D: -0.017339 Loss_G: 0.014131 Loss_D_real: -0.027187 Loss_D_fake -0.009848
[1675/5000][15/535][172873] Loss_D: -0.017593 Loss_G: -0.020667 Loss_D_real: -0.013497 Loss_D_fake 0.004097
[1675/5000][20/535][172874] Loss_D: -0.019132 Loss_G: 0.018334 Loss_D_real: -0.027992 Loss_D_fake -0.008861
[1675/5000][25/535][172875] Loss_D: -0.017333 Loss_G: 0.000200 Loss_D_real: -0.007445 Loss_D_fake 0.009888
[1675/5000][30/535][172876] Loss_D: -0.018274 Loss_G: 0.000541 Loss_D_real: -0.006700 Loss_D_fake 0.011573
[1675/5000][35/535][172877] Loss_D: -0.018382 Loss_G: -0.017538 Loss_D_real: -0.011815 Loss_D_fake 0.006567
[1675/5000][40/535][172878] Loss_D: -0.018479 Loss_G: 0.012144 Loss_D_real: -0.007411 Loss_D_fake 0.011068
[1675/5000][45/535][172879] Loss_D: -0.019336 Loss_G: 0.008351 Loss_D_real: -0.013689 Loss_D_fake 0.005647
[1675/5000][50/535][172880] Loss_D: -0.018093 Loss_G: -0.006456 Loss_D_real: -0.010030 Loss_D_fake 0.008063
[1675/5000][55/535][172881] Loss_D: -0.018811 Loss_G: 0.006234 Loss_D_real: -0.024212 Loss_D_fake -0.005402
[1675/5000][60/535][172882] Loss_D: -0.018402 Loss_G: 0.025365 Loss_D_real: -0.030235 Loss_D_fake -0.011833
[1675/5000][65/535][172883] Loss_D: -0.019238 Loss_G: 0.008733 Loss_D_real: -0.010872 Loss_D_fake 0.008365
[1675/5000][70/535][172884] Loss_D: -0.018488 Loss_G: 0.026477 Loss_D_real: -0.019751 Loss_D_fake -0.001263
[1675/5000][75/535][172885] Loss_D: -0.018941 Loss_G: 0.001724 Loss_D_real: -0.007501 Loss_D_fake 0.011440
[1675/5000][80/535][172886] Loss_D: -0.017475 Loss_G: 0.021485 Loss_D_real: -0.022797 Loss_D_fake -0.005322
[1675/5000][85/535][172887] Loss_D: -0.019273 Loss_G: 0.001935 Loss_D_real: -0.017117 Loss_D_fake 0.002155
[1675/5000][90/535][172888] Loss_D: -0.018271 Loss_G: -0.011052 Loss_D_real: -0.004947 Loss_D_fake 0.013324
[1675/5000][95/535][172889] Loss_D: -0.018556 Loss_G: 0.021740 Loss_D_real: -0.013475 Loss_D_fake 0.005082
[1675/5000][100/535][172890] Loss_D: -0.018126 Loss_G: -0.014469 Loss_D_real: 0.003682 Loss_D_fake 0.021808
[1675/5000][105/535][172891] Loss_D: -0.016806 Loss_G: 0.012244 Loss_D_real: -0.028248 Loss_D_fake -0.011442
[1675/5000][110/535][172892] Loss_D: -0.018685 Loss_G: -0.001804 Loss_D_real: -0.001459 Loss_D_fake 0.017226
[1675/5000][115/535][172893] Loss_D: -0.019665 Loss_G: -0.004133 Loss_D_real: -0.014603 Loss_D_fake 0.005062
[1675/5000][120/535][172894] Loss_D: -0.018135 Loss_G: 0.018880 Loss_D_real: -0.029337 Loss_D_fake -0.011202
[1675/5000][125/535][172895] Loss_D: -0.018267 Loss_G: -0.006456 Loss_D_real: -0.006003 Loss_D_fake 0.012263
[1675/5000][130/535][172896] Loss_D: -0.017918 Loss_G: 0.016631 Loss_D_real: -0.021074 Loss_D_fake -0.003157
[1675/5000][135/535][172897] Loss_D: -0.019197 Loss_G: 0.006306 Loss_D_real: -0.014555 Loss_D_fake 0.004643
[1675/5000][140/535][172898] Loss_D: -0.019819 Loss_G: 0.000330 Loss_D_real: -0.009536 Loss_D_fake 0.010284
[1675/5000][145/535][172899] Loss_D: -0.019610 Loss_G: 0.024084 Loss_D_real: -0.023657 Loss_D_fake -0.004047
[1675/5000][150/535][172900] Loss_D: -0.020221 Loss_G: 0.002368 Loss_D_real: -0.024612 Loss_D_fake -0.004390
[1675/5000][155/535][172901] Loss_D: -0.020312 Loss_G: 0.005267 Loss_D_real: -0.014551 Loss_D_fake 0.005761
[1675/5000][160/535][172902] Loss_D: -0.018731 Loss_G: -0.008549 Loss_D_real: 0.000844 Loss_D_fake 0.019575
[1675/5000][165/535][172903] Loss_D: -0.018710 Loss_G: 0.012887 Loss_D_real: -0.024009 Loss_D_fake -0.005299
[1675/5000][170/535][172904] Loss_D: -0.019963 Loss_G: 0.014385 Loss_D_real: -0.011389 Loss_D_fake 0.008575
[1675/5000][175/535][172905] Loss_D: -0.018584 Loss_G: 0.014631 Loss_D_real: -0.030924 Loss_D_fake -0.012340
[1675/5000][180/535][172906] Loss_D: -0.019214 Loss_G: 0.003451 Loss_D_real: -0.005764 Loss_D_fake 0.013450
[1675/5000][185/535][172907] Loss_D: -0.018732 Loss_G: 0.017976 Loss_D_real: -0.017583 Loss_D_fake 0.001148
[1675/5000][190/535][172908] Loss_D: -0.018539 Loss_G: 0.008120 Loss_D_real: -0.009248 Loss_D_fake 0.009291
[1675/5000][195/535][172909] Loss_D: -0.016782 Loss_G: 0.031065 Loss_D_real: -0.022077 Loss_D_fake -0.005296
[1675/5000][200/535][172910] Loss_D: -0.016635 Loss_G: -0.019071 Loss_D_real: 0.004724 Loss_D_fake 0.021359
[1675/5000][205/535][172911] Loss_D: -0.018471 Loss_G: 0.011493 Loss_D_real: -0.027728 Loss_D_fake -0.009257
[1675/5000][210/535][172912] Loss_D: -0.019244 Loss_G: 0.012264 Loss_D_real: -0.019482 Loss_D_fake -0.000238
[1675/5000][215/535][172913] Loss_D: -0.017976 Loss_G: 0.026437 Loss_D_real: -0.031318 Loss_D_fake -0.013342
[1675/5000][220/535][172914] Loss_D: -0.019283 Loss_G: 0.003792 Loss_D_real: -0.007968 Loss_D_fake 0.011316
[1675/5000][225/535][172915] Loss_D: -0.018734 Loss_G: 0.009385 Loss_D_real: -0.018046 Loss_D_fake 0.000688
[1675/5000][230/535][172916] Loss_D: -0.018326 Loss_G: 0.014353 Loss_D_real: -0.017756 Loss_D_fake 0.000570
[1675/5000][235/535][172917] Loss_D: -0.019165 Loss_G: 0.004007 Loss_D_real: -0.009005 Loss_D_fake 0.010160
[1675/5000][240/535][172918] Loss_D: -0.018116 Loss_G: -0.003339 Loss_D_real: -0.014220 Loss_D_fake 0.003896
[1675/5000][245/535][172919] Loss_D: -0.020195 Loss_G: 0.001752 Loss_D_real: -0.020062 Loss_D_fake 0.000133
[1675/5000][250/535][172920] Loss_D: -0.018445 Loss_G: 0.010753 Loss_D_real: -0.025401 Loss_D_fake -0.006956
[1675/5000][255/535][172921] Loss_D: -0.018346 Loss_G: -0.021605 Loss_D_real: -0.002818 Loss_D_fake 0.015528
[1675/5000][260/535][172922] Loss_D: -0.018644 Loss_G: 0.013626 Loss_D_real: -0.016944 Loss_D_fake 0.001700
[1675/5000][265/535][172923] Loss_D: -0.019624 Loss_G: 0.012097 Loss_D_real: -0.013102 Loss_D_fake 0.006522
[1675/5000][270/535][172924] Loss_D: -0.018645 Loss_G: -0.012086 Loss_D_real: -0.008771 Loss_D_fake 0.009874
[1675/5000][275/535][172925] Loss_D: -0.018502 Loss_G: 0.015019 Loss_D_real: -0.027215 Loss_D_fake -0.008713
[1675/5000][280/535][172926] Loss_D: -0.017370 Loss_G: 0.011554 Loss_D_real: 0.003635 Loss_D_fake 0.021004
[1675/5000][285/535][172927] Loss_D: -0.018357 Loss_G: -0.002195 Loss_D_real: -0.013833 Loss_D_fake 0.004525
[1675/5000][290/535][172928] Loss_D: -0.018454 Loss_G: 0.018019 Loss_D_real: -0.018026 Loss_D_fake 0.000428
[1675/5000][295/535][172929] Loss_D: -0.017843 Loss_G: 0.013442 Loss_D_real: -0.017474 Loss_D_fake 0.000368
[1675/5000][300/535][172930] Loss_D: -0.018956 Loss_G: -0.001129 Loss_D_real: -0.001387 Loss_D_fake 0.017569
[1675/5000][305/535][172931] Loss_D: -0.018389 Loss_G: 0.009783 Loss_D_real: -0.021148 Loss_D_fake -0.002759
[1675/5000][310/535][172932] Loss_D: -0.018628 Loss_G: 0.000022 Loss_D_real: -0.007681 Loss_D_fake 0.010947
[1675/5000][315/535][172933] Loss_D: -0.018163 Loss_G: -0.012605 Loss_D_real: 0.000424 Loss_D_fake 0.018587
[1675/5000][320/535][172934] Loss_D: -0.017937 Loss_G: 0.014862 Loss_D_real: -0.016324 Loss_D_fake 0.001613
[1675/5000][325/535][172935] Loss_D: -0.019102 Loss_G: 0.007417 Loss_D_real: -0.015051 Loss_D_fake 0.004051
[1675/5000][330/535][172936] Loss_D: -0.018547 Loss_G: 0.012120 Loss_D_real: -0.016889 Loss_D_fake 0.001658
[1675/5000][335/535][172937] Loss_D: -0.018300 Loss_G: -0.012898 Loss_D_real: 0.001355 Loss_D_fake 0.019655
[1675/5000][340/535][172938] Loss_D: -0.018463 Loss_G: 0.024933 Loss_D_real: -0.027599 Loss_D_fake -0.009136
[1675/5000][345/535][172939] Loss_D: -0.017291 Loss_G: 0.014785 Loss_D_real: -0.017195 Loss_D_fake 0.000096
[1675/5000][350/535][172940] Loss_D: -0.018752 Loss_G: 0.005358 Loss_D_real: -0.019278 Loss_D_fake -0.000525
[1675/5000][355/535][172941] Loss_D: -0.019810 Loss_G: 0.014925 Loss_D_real: -0.015764 Loss_D_fake 0.004046
[1675/5000][360/535][172942] Loss_D: -0.019977 Loss_G: 0.011507 Loss_D_real: -0.023362 Loss_D_fake -0.003385
[1675/5000][365/535][172943] Loss_D: -0.019837 Loss_G: 0.005786 Loss_D_real: -0.009074 Loss_D_fake 0.010763
[1675/5000][370/535][172944] Loss_D: -0.018089 Loss_G: 0.005448 Loss_D_real: -0.025252 Loss_D_fake -0.007163
[1675/5000][375/535][172945] Loss_D: -0.018754 Loss_G: 0.016611 Loss_D_real: -0.026943 Loss_D_fake -0.008189
[1675/5000][380/535][172946] Loss_D: -0.018378 Loss_G: -0.002942 Loss_D_real: 0.004657 Loss_D_fake 0.023035
[1675/5000][385/535][172947] Loss_D: -0.019000 Loss_G: 0.013678 Loss_D_real: -0.009991 Loss_D_fake 0.009009
[1675/5000][390/535][172948] Loss_D: -0.019195 Loss_G: 0.005951 Loss_D_real: -0.023005 Loss_D_fake -0.003810
[1675/5000][395/535][172949] Loss_D: -0.019142 Loss_G: 0.002943 Loss_D_real: -0.013482 Loss_D_fake 0.005660
[1675/5000][400/535][172950] Loss_D: -0.019926 Loss_G: 0.017937 Loss_D_real: -0.019476 Loss_D_fake 0.000449
[1675/5000][405/535][172951] Loss_D: -0.020423 Loss_G: 0.001726 Loss_D_real: -0.007032 Loss_D_fake 0.013391
[1675/5000][410/535][172952] Loss_D: -0.019460 Loss_G: 0.005883 Loss_D_real: -0.015589 Loss_D_fake 0.003872
[1675/5000][415/535][172953] Loss_D: -0.019897 Loss_G: 0.017954 Loss_D_real: -0.016925 Loss_D_fake 0.002972
[1675/5000][420/535][172954] Loss_D: -0.019992 Loss_G: 0.036073 Loss_D_real: -0.032818 Loss_D_fake -0.012826
[1675/5000][425/535][172955] Loss_D: -0.018785 Loss_G: 0.013282 Loss_D_real: -0.021457 Loss_D_fake -0.002673
[1675/5000][430/535][172956] Loss_D: -0.019614 Loss_G: -0.000216 Loss_D_real: -0.010644 Loss_D_fake 0.008970
[1675/5000][435/535][172957] Loss_D: -0.018859 Loss_G: -0.003894 Loss_D_real: -0.007734 Loss_D_fake 0.011125
[1675/5000][440/535][172958] Loss_D: -0.019915 Loss_G: 0.012715 Loss_D_real: -0.022530 Loss_D_fake -0.002615
[1675/5000][445/535][172959] Loss_D: -0.017611 Loss_G: 0.003385 Loss_D_real: -0.015431 Loss_D_fake 0.002180
[1675/5000][450/535][172960] Loss_D: -0.018443 Loss_G: 0.013405 Loss_D_real: -0.016992 Loss_D_fake 0.001450
[1675/5000][455/535][172961] Loss_D: -0.018672 Loss_G: 0.010464 Loss_D_real: -0.017082 Loss_D_fake 0.001591
[1675/5000][460/535][172962] Loss_D: -0.017072 Loss_G: 0.018493 Loss_D_real: -0.032176 Loss_D_fake -0.015104
[1675/5000][465/535][172963] Loss_D: -0.017883 Loss_G: 0.011287 Loss_D_real: -0.010310 Loss_D_fake 0.007573
[1675/5000][470/535][172964] Loss_D: -0.019358 Loss_G: 0.001827 Loss_D_real: -0.015114 Loss_D_fake 0.004245
[1675/5000][475/535][172965] Loss_D: -0.017873 Loss_G: 0.024890 Loss_D_real: -0.033486 Loss_D_fake -0.015613
[1675/5000][480/535][172966] Loss_D: -0.018511 Loss_G: -0.003735 Loss_D_real: -0.007401 Loss_D_fake 0.011110
[1675/5000][485/535][172967] Loss_D: -0.018497 Loss_G: -0.014158 Loss_D_real: -0.017140 Loss_D_fake 0.001357
[1675/5000][490/535][172968] Loss_D: -0.018854 Loss_G: -0.004910 Loss_D_real: -0.001338 Loss_D_fake 0.017517
[1675/5000][495/535][172969] Loss_D: -0.019149 Loss_G: 0.001985 Loss_D_real: -0.016325 Loss_D_fake 0.002824
[1675/5000][500/535][172970] Loss_D: -0.019675 Loss_G: 0.006593 Loss_D_real: -0.015496 Loss_D_fake 0.004179
[1675/5000][505/535][172971] Loss_D: -0.018340 Loss_G: 0.002079 Loss_D_real: -0.022414 Loss_D_fake -0.004074
[1675/5000][510/535][172972] Loss_D: -0.018439 Loss_G: 0.011828 Loss_D_real: -0.008727 Loss_D_fake 0.009713
[1675/5000][515/535][172973] Loss_D: -0.018077 Loss_G: -0.000372 Loss_D_real: -0.010904 Loss_D_fake 0.007173
[1675/5000][520/535][172974] Loss_D: -0.019490 Loss_G: 0.008371 Loss_D_real: -0.004614 Loss_D_fake 0.014877
[1675/5000][525/535][172975] Loss_D: -0.018093 Loss_G: -0.018684 Loss_D_real: 0.001531 Loss_D_fake 0.019624
[1675/5000][530/535][172976] Loss_D: -0.017854 Loss_G: 0.030346 Loss_D_real: -0.025005 Loss_D_fake -0.007151
[1675/5000][535/535][172977] Loss_D: -0.017094 Loss_G: 0.027946 Loss_D_real: -0.004685 Loss_D_fake 0.012408
[1676/5000][5/535][172978] Loss_D: -0.020549 Loss_G: 0.015460 Loss_D_real: -0.029010 Loss_D_fake -0.008461
[1676/5000][10/535][172979] Loss_D: -0.017413 Loss_G: 0.025405 Loss_D_real: -0.025181 Loss_D_fake -0.007768
[1676/5000][15/535][172980] Loss_D: -0.018152 Loss_G: 0.015441 Loss_D_real: -0.026411 Loss_D_fake -0.008258
[1676/5000][20/535][172981] Loss_D: -0.020361 Loss_G: 0.006398 Loss_D_real: -0.027180 Loss_D_fake -0.006819
[1676/5000][25/535][172982] Loss_D: -0.018858 Loss_G: -0.016248 Loss_D_real: -0.008745 Loss_D_fake 0.010113
[1676/5000][30/535][172983] Loss_D: -0.016439 Loss_G: -0.016880 Loss_D_real: 0.007683 Loss_D_fake 0.024122
[1676/5000][35/535][172984] Loss_D: -0.018920 Loss_G: -0.000735 Loss_D_real: -0.000819 Loss_D_fake 0.018101
[1676/5000][40/535][172985] Loss_D: -0.019241 Loss_G: 0.007481 Loss_D_real: -0.007146 Loss_D_fake 0.012095
[1676/5000][45/535][172986] Loss_D: -0.018995 Loss_G: 0.007609 Loss_D_real: -0.027100 Loss_D_fake -0.008105
[1676/5000][50/535][172987] Loss_D: -0.018197 Loss_G: 0.022455 Loss_D_real: -0.028280 Loss_D_fake -0.010083
[1676/5000][55/535][172988] Loss_D: -0.018341 Loss_G: -0.010332 Loss_D_real: -0.013562 Loss_D_fake 0.004780
[1676/5000][60/535][172989] Loss_D: -0.018951 Loss_G: 0.011009 Loss_D_real: -0.009572 Loss_D_fake 0.009379
[1676/5000][65/535][172990] Loss_D: -0.019560 Loss_G: 0.009459 Loss_D_real: -0.023235 Loss_D_fake -0.003675
[1676/5000][70/535][172991] Loss_D: -0.017053 Loss_G: 0.021963 Loss_D_real: -0.022582 Loss_D_fake -0.005529
[1676/5000][75/535][172992] Loss_D: -0.017965 Loss_G: 0.016126 Loss_D_real: -0.031605 Loss_D_fake -0.013640
[1676/5000][80/535][172993] Loss_D: -0.019335 Loss_G: 0.008475 Loss_D_real: -0.014418 Loss_D_fake 0.004917
[1676/5000][85/535][172994] Loss_D: -0.017185 Loss_G: -0.014452 Loss_D_real: -0.005710 Loss_D_fake 0.011475
[1676/5000][90/535][172995] Loss_D: -0.017937 Loss_G: -0.010659 Loss_D_real: -0.001139 Loss_D_fake 0.016798
[1676/5000][95/535][172996] Loss_D: -0.016731 Loss_G: -0.011353 Loss_D_real: -0.003836 Loss_D_fake 0.012894
[1676/5000][100/535][172997] Loss_D: -0.019128 Loss_G: 0.009051 Loss_D_real: -0.019350 Loss_D_fake -0.000222
[1676/5000][105/535][172998] Loss_D: -0.018925 Loss_G: 0.005896 Loss_D_real: -0.025457 Loss_D_fake -0.006532
[1676/5000][110/535][172999] Loss_D: -0.018786 Loss_G: 0.020662 Loss_D_real: -0.020025 Loss_D_fake -0.001239
[1676/5000][115/535][173000] Loss_D: -0.018951 Loss_G: 0.009791 Loss_D_real: -0.023131 Loss_D_fake -0.004180
[1676/5000][215/535][173001] Loss_D: -0.020746 Loss_G: -0.011872 Loss_D_real: -0.001627 Loss_D_fake 0.019119
[1676/5000][220/535][173002] Loss_D: -0.018696 Loss_G: 0.010740 Loss_D_real: -0.006034 Loss_D_fake 0.012663
[1676/5000][225/535][173003] Loss_D: -0.017007 Loss_G: -0.005365 Loss_D_real: -0.000758 Loss_D_fake 0.016249
[1676/5000][230/535][173004] Loss_D: -0.016417 Loss_G: 0.002969 Loss_D_real: -0.014006 Loss_D_fake 0.002410
[1676/5000][235/535][173005] Loss_D: -0.018385 Loss_G: 0.007198 Loss_D_real: -0.014198 Loss_D_fake 0.004187
[1676/5000][240/535][173006] Loss_D: -0.018899 Loss_G: 0.008696 Loss_D_real: -0.021269 Loss_D_fake -0.002370
[1676/5000][245/535][173007] Loss_D: -0.017608 Loss_G: 0.007357 Loss_D_real: -0.013171 Loss_D_fake 0.004438
[1676/5000][250/535][173008] Loss_D: -0.017662 Loss_G: 0.000966 Loss_D_real: -0.016524 Loss_D_fake 0.001138
[1676/5000][255/535][173009] Loss_D: -0.017083 Loss_G: -0.001522 Loss_D_real: -0.009783 Loss_D_fake 0.007300
[1676/5000][260/535][173010] Loss_D: -0.017994 Loss_G: 0.012258 Loss_D_real: -0.015950 Loss_D_fake 0.002044
[1676/5000][265/535][173011] Loss_D: -0.017103 Loss_G: 0.007994 Loss_D_real: -0.017761 Loss_D_fake -0.000659
[1676/5000][270/535][173012] Loss_D: -0.018676 Loss_G: 0.004097 Loss_D_real: -0.019366 Loss_D_fake -0.000690
[1676/5000][275/535][173013] Loss_D: -0.019240 Loss_G: -0.009788 Loss_D_real: -0.006491 Loss_D_fake 0.012749
[1676/5000][280/535][173014] Loss_D: -0.019111 Loss_G: 0.006541 Loss_D_real: -0.018484 Loss_D_fake 0.000627
[1676/5000][285/535][173015] Loss_D: -0.018323 Loss_G: 0.002986 Loss_D_real: -0.018067 Loss_D_fake 0.000256
[1676/5000][290/535][173016] Loss_D: -0.018976 Loss_G: 0.023452 Loss_D_real: -0.028467 Loss_D_fake -0.009491
[1676/5000][295/535][173017] Loss_D: -0.018274 Loss_G: 0.004352 Loss_D_real: -0.017423 Loss_D_fake 0.000851
[1676/5000][300/535][173018] Loss_D: -0.018617 Loss_G: 0.008851 Loss_D_real: -0.011918 Loss_D_fake 0.006700
[1676/5000][305/535][173019] Loss_D: -0.016491 Loss_G: 0.021101 Loss_D_real: -0.029288 Loss_D_fake -0.012797
[1676/5000][310/535][173020] Loss_D: -0.018324 Loss_G: -0.006687 Loss_D_real: -0.014346 Loss_D_fake 0.003978
[1676/5000][315/535][173021] Loss_D: -0.018286 Loss_G: 0.000681 Loss_D_real: -0.018695 Loss_D_fake -0.000410
[1676/5000][320/535][173022] Loss_D: -0.018227 Loss_G: 0.010790 Loss_D_real: -0.008449 Loss_D_fake 0.009777
[1676/5000][325/535][173023] Loss_D: -0.018530 Loss_G: 0.012864 Loss_D_real: -0.027859 Loss_D_fake -0.009329
[1676/5000][330/535][173024] Loss_D: -0.019148 Loss_G: 0.002452 Loss_D_real: -0.014379 Loss_D_fake 0.004769
[1676/5000][335/535][173025] Loss_D: -0.018613 Loss_G: 0.012863 Loss_D_real: -0.020358 Loss_D_fake -0.001745
[1676/5000][340/535][173026] Loss_D: -0.019207 Loss_G: 0.003994 Loss_D_real: -0.023192 Loss_D_fake -0.003984
[1676/5000][345/535][173027] Loss_D: -0.018439 Loss_G: 0.012276 Loss_D_real: -0.029020 Loss_D_fake -0.010581
[1676/5000][350/535][173028] Loss_D: -0.017919 Loss_G: -0.002234 Loss_D_real: -0.022363 Loss_D_fake -0.004444
[1676/5000][355/535][173029] Loss_D: -0.018446 Loss_G: -0.007136 Loss_D_real: -0.000232 Loss_D_fake 0.018213
[1676/5000][360/535][173030] Loss_D: -0.019828 Loss_G: 0.001485 Loss_D_real: -0.003368 Loss_D_fake 0.016460
[1676/5000][365/535][173031] Loss_D: -0.019205 Loss_G: 0.014836 Loss_D_real: -0.022825 Loss_D_fake -0.003620
[1676/5000][370/535][173032] Loss_D: -0.019374 Loss_G: -0.004752 Loss_D_real: -0.008233 Loss_D_fake 0.011141
[1676/5000][375/535][173033] Loss_D: -0.020066 Loss_G: 0.030904 Loss_D_real: -0.027743 Loss_D_fake -0.007677
[1676/5000][380/535][173034] Loss_D: -0.019974 Loss_G: 0.006028 Loss_D_real: -0.017215 Loss_D_fake 0.002759
[1676/5000][385/535][173035] Loss_D: -0.019328 Loss_G: 0.012948 Loss_D_real: -0.014030 Loss_D_fake 0.005298
[1676/5000][390/535][173036] Loss_D: -0.019814 Loss_G: 0.011735 Loss_D_real: -0.019609 Loss_D_fake 0.000204
[1676/5000][395/535][173037] Loss_D: -0.018892 Loss_G: -0.001660 Loss_D_real: -0.003757 Loss_D_fake 0.015135
[1676/5000][400/535][173038] Loss_D: -0.019406 Loss_G: 0.017783 Loss_D_real: -0.027452 Loss_D_fake -0.008046
[1676/5000][405/535][173039] Loss_D: -0.020095 Loss_G: 0.026738 Loss_D_real: -0.023320 Loss_D_fake -0.003225
[1676/5000][410/535][173040] Loss_D: -0.018408 Loss_G: 0.025170 Loss_D_real: -0.020305 Loss_D_fake -0.001898
[1676/5000][415/535][173041] Loss_D: -0.018767 Loss_G: 0.009324 Loss_D_real: -0.025010 Loss_D_fake -0.006243
[1676/5000][420/535][173042] Loss_D: -0.018687 Loss_G: 0.023074 Loss_D_real: -0.023923 Loss_D_fake -0.005236
[1676/5000][425/535][173043] Loss_D: -0.018960 Loss_G: 0.016839 Loss_D_real: -0.022883 Loss_D_fake -0.003923
[1676/5000][430/535][173044] Loss_D: -0.019659 Loss_G: 0.016245 Loss_D_real: -0.031051 Loss_D_fake -0.011392
[1676/5000][435/535][173045] Loss_D: -0.017671 Loss_G: 0.016932 Loss_D_real: -0.034178 Loss_D_fake -0.016507
[1676/5000][440/535][173046] Loss_D: -0.018977 Loss_G: 0.005216 Loss_D_real: -0.020976 Loss_D_fake -0.001998
[1676/5000][445/535][173047] Loss_D: -0.019722 Loss_G: 0.009298 Loss_D_real: -0.013751 Loss_D_fake 0.005971
[1676/5000][450/535][173048] Loss_D: -0.018639 Loss_G: 0.020232 Loss_D_real: -0.022970 Loss_D_fake -0.004331
[1676/5000][455/535][173049] Loss_D: -0.019744 Loss_G: 0.011534 Loss_D_real: -0.013810 Loss_D_fake 0.005934
[1676/5000][460/535][173050] Loss_D: -0.018465 Loss_G: 0.005531 Loss_D_real: -0.024068 Loss_D_fake -0.005603
[1676/5000][465/535][173051] Loss_D: -0.017861 Loss_G: 0.009636 Loss_D_real: -0.024454 Loss_D_fake -0.006593
[1676/5000][470/535][173052] Loss_D: -0.017875 Loss_G: -0.002262 Loss_D_real: -0.013058 Loss_D_fake 0.004817
[1676/5000][475/535][173053] Loss_D: -0.019317 Loss_G: -0.014293 Loss_D_real: -0.012532 Loss_D_fake 0.006786
[1676/5000][480/535][173054] Loss_D: -0.018938 Loss_G: 0.007836 Loss_D_real: -0.001847 Loss_D_fake 0.017091
[1676/5000][485/535][173055] Loss_D: -0.019124 Loss_G: 0.011754 Loss_D_real: -0.023887 Loss_D_fake -0.004763
[1676/5000][490/535][173056] Loss_D: -0.018913 Loss_G: -0.003977 Loss_D_real: -0.013312 Loss_D_fake 0.005601
[1676/5000][495/535][173057] Loss_D: -0.018211 Loss_G: -0.003829 Loss_D_real: -0.011836 Loss_D_fake 0.006375
[1676/5000][500/535][173058] Loss_D: -0.016802 Loss_G: 0.024491 Loss_D_real: -0.032328 Loss_D_fake -0.015526
[1676/5000][505/535][173059] Loss_D: -0.019079 Loss_G: 0.013462 Loss_D_real: -0.018755 Loss_D_fake 0.000324
[1676/5000][510/535][173060] Loss_D: -0.018680 Loss_G: -0.008917 Loss_D_real: 0.005270 Loss_D_fake 0.023949
[1676/5000][515/535][173061] Loss_D: -0.018719 Loss_G: -0.004229 Loss_D_real: -0.014809 Loss_D_fake 0.003910
[1676/5000][520/535][173062] Loss_D: -0.020022 Loss_G: 0.020669 Loss_D_real: -0.014179 Loss_D_fake 0.005843
[1676/5000][525/535][173063] Loss_D: -0.019173 Loss_G: 0.002935 Loss_D_real: -0.007996 Loss_D_fake 0.011177
[1676/5000][530/535][173064] Loss_D: -0.019177 Loss_G: 0.025411 Loss_D_real: -0.029360 Loss_D_fake -0.010183
[1676/5000][535/535][173065] Loss_D: -0.019131 Loss_G: 0.006753 Loss_D_real: -0.026100 Loss_D_fake -0.006969
[1677/5000][5/535][173066] Loss_D: -0.019340 Loss_G: 0.018421 Loss_D_real: -0.028526 Loss_D_fake -0.009186
[1677/5000][10/535][173067] Loss_D: -0.017643 Loss_G: 0.021834 Loss_D_real: -0.028894 Loss_D_fake -0.011250
[1677/5000][15/535][173068] Loss_D: -0.017888 Loss_G: 0.017440 Loss_D_real: -0.009180 Loss_D_fake 0.008708
[1677/5000][20/535][173069] Loss_D: -0.018516 Loss_G: 0.017248 Loss_D_real: -0.028663 Loss_D_fake -0.010147
[1677/5000][25/535][173070] Loss_D: -0.018590 Loss_G: 0.019188 Loss_D_real: -0.030778 Loss_D_fake -0.012188
[1677/5000][30/535][173071] Loss_D: -0.018371 Loss_G: -0.020845 Loss_D_real: 0.004277 Loss_D_fake 0.022647
[1677/5000][35/535][173072] Loss_D: -0.017996 Loss_G: 0.015745 Loss_D_real: -0.022964 Loss_D_fake -0.004968
[1677/5000][40/535][173073] Loss_D: -0.018475 Loss_G: 0.000862 Loss_D_real: -0.013825 Loss_D_fake 0.004650
[1677/5000][45/535][173074] Loss_D: -0.019090 Loss_G: -0.001996 Loss_D_real: -0.001500 Loss_D_fake 0.017590
[1677/5000][50/535][173075] Loss_D: -0.019088 Loss_G: -0.002335 Loss_D_real: -0.017945 Loss_D_fake 0.001143
[1677/5000][55/535][173076] Loss_D: -0.019611 Loss_G: 0.004407 Loss_D_real: -0.025433 Loss_D_fake -0.005822
[1677/5000][60/535][173077] Loss_D: -0.019228 Loss_G: -0.008761 Loss_D_real: -0.011550 Loss_D_fake 0.007679
[1677/5000][65/535][173078] Loss_D: -0.019068 Loss_G: -0.004788 Loss_D_real: -0.007796 Loss_D_fake 0.011271
[1677/5000][70/535][173079] Loss_D: -0.018329 Loss_G: -0.006828 Loss_D_real: -0.002993 Loss_D_fake 0.015336
[1677/5000][75/535][173080] Loss_D: -0.019679 Loss_G: 0.004763 Loss_D_real: -0.008811 Loss_D_fake 0.010868
[1677/5000][80/535][173081] Loss_D: -0.019688 Loss_G: 0.010021 Loss_D_real: -0.012373 Loss_D_fake 0.007316
[1677/5000][85/535][173082] Loss_D: -0.018686 Loss_G: 0.015617 Loss_D_real: -0.019727 Loss_D_fake -0.001042
[1677/5000][90/535][173083] Loss_D: -0.018254 Loss_G: 0.028935 Loss_D_real: -0.013960 Loss_D_fake 0.004294
[1677/5000][95/535][173084] Loss_D: -0.019801 Loss_G: 0.004156 Loss_D_real: -0.007377 Loss_D_fake 0.012424
[1677/5000][100/535][173085] Loss_D: -0.019485 Loss_G: 0.019027 Loss_D_real: -0.010178 Loss_D_fake 0.009307
[1677/5000][105/535][173086] Loss_D: -0.019508 Loss_G: -0.002405 Loss_D_real: -0.014473 Loss_D_fake 0.005035
[1677/5000][110/535][173087] Loss_D: -0.019247 Loss_G: 0.023925 Loss_D_real: -0.029996 Loss_D_fake -0.010748
[1677/5000][115/535][173088] Loss_D: -0.019734 Loss_G: -0.000823 Loss_D_real: -0.013309 Loss_D_fake 0.006425
[1677/5000][120/535][173089] Loss_D: -0.019051 Loss_G: 0.007659 Loss_D_real: -0.013267 Loss_D_fake 0.005783
[1677/5000][125/535][173090] Loss_D: -0.020746 Loss_G: 0.003138 Loss_D_real: -0.006437 Loss_D_fake 0.014309
[1677/5000][130/535][173091] Loss_D: -0.017247 Loss_G: 0.023705 Loss_D_real: -0.029482 Loss_D_fake -0.012235
[1677/5000][135/535][173092] Loss_D: -0.019359 Loss_G: 0.001785 Loss_D_real: -0.004614 Loss_D_fake 0.014745
[1677/5000][140/535][173093] Loss_D: -0.018935 Loss_G: -0.009160 Loss_D_real: -0.014001 Loss_D_fake 0.004934
[1677/5000][145/535][173094] Loss_D: -0.018202 Loss_G: 0.006761 Loss_D_real: -0.022251 Loss_D_fake -0.004049
[1677/5000][150/535][173095] Loss_D: -0.019858 Loss_G: -0.001222 Loss_D_real: -0.003681 Loss_D_fake 0.016177
[1677/5000][155/535][173096] Loss_D: -0.019048 Loss_G: 0.005415 Loss_D_real: -0.002001 Loss_D_fake 0.017047
[1677/5000][160/535][173097] Loss_D: -0.017314 Loss_G: 0.029034 Loss_D_real: -0.027216 Loss_D_fake -0.009901
[1677/5000][165/535][173098] Loss_D: -0.018018 Loss_G: 0.015316 Loss_D_real: -0.014205 Loss_D_fake 0.003813
[1677/5000][170/535][173099] Loss_D: -0.019292 Loss_G: 0.005548 Loss_D_real: -0.022586 Loss_D_fake -0.003295
[1677/5000][175/535][173100] Loss_D: -0.019522 Loss_G: 0.007868 Loss_D_real: -0.004260 Loss_D_fake 0.015262
[1677/5000][180/535][173101] Loss_D: -0.018450 Loss_G: -0.001710 Loss_D_real: -0.019874 Loss_D_fake -0.001424
[1677/5000][185/535][173102] Loss_D: -0.018345 Loss_G: -0.005182 Loss_D_real: -0.009637 Loss_D_fake 0.008708
[1677/5000][190/535][173103] Loss_D: -0.018994 Loss_G: 0.003388 Loss_D_real: -0.023871 Loss_D_fake -0.004877
[1677/5000][195/535][173104] Loss_D: -0.017239 Loss_G: -0.008312 Loss_D_real: 0.000649 Loss_D_fake 0.017888
[1677/5000][200/535][173105] Loss_D: -0.019134 Loss_G: 0.002295 Loss_D_real: -0.013184 Loss_D_fake 0.005950
[1677/5000][205/535][173106] Loss_D: -0.018981 Loss_G: -0.006563 Loss_D_real: -0.009404 Loss_D_fake 0.009577
[1677/5000][210/535][173107] Loss_D: -0.017803 Loss_G: 0.032725 Loss_D_real: -0.025214 Loss_D_fake -0.007411
[1677/5000][215/535][173108] Loss_D: -0.021284 Loss_G: -0.006086 Loss_D_real: -0.017677 Loss_D_fake 0.003606
[1677/5000][220/535][173109] Loss_D: -0.018681 Loss_G: -0.000079 Loss_D_real: -0.004837 Loss_D_fake 0.013843
[1677/5000][225/535][173110] Loss_D: -0.018847 Loss_G: 0.011047 Loss_D_real: -0.014187 Loss_D_fake 0.004660
[1677/5000][230/535][173111] Loss_D: -0.019326 Loss_G: 0.012876 Loss_D_real: -0.021239 Loss_D_fake -0.001913
[1677/5000][235/535][173112] Loss_D: -0.018052 Loss_G: 0.004628 Loss_D_real: -0.000891 Loss_D_fake 0.017161
[1677/5000][240/535][173113] Loss_D: -0.018552 Loss_G: 0.001634 Loss_D_real: -0.020061 Loss_D_fake -0.001509
[1677/5000][245/535][173114] Loss_D: -0.019104 Loss_G: 0.010672 Loss_D_real: -0.008372 Loss_D_fake 0.010732
[1677/5000][250/535][173115] Loss_D: -0.019751 Loss_G: 0.011325 Loss_D_real: -0.019665 Loss_D_fake 0.000087
[1677/5000][255/535][173116] Loss_D: -0.019321 Loss_G: 0.007355 Loss_D_real: -0.011541 Loss_D_fake 0.007780
[1677/5000][260/535][173117] Loss_D: -0.017608 Loss_G: 0.012531 Loss_D_real: -0.026489 Loss_D_fake -0.008881
[1677/5000][265/535][173118] Loss_D: -0.018990 Loss_G: 0.003895 Loss_D_real: -0.004324 Loss_D_fake 0.014666
[1677/5000][270/535][173119] Loss_D: -0.019687 Loss_G: -0.004129 Loss_D_real: -0.019614 Loss_D_fake 0.000073
[1677/5000][275/535][173120] Loss_D: -0.019289 Loss_G: 0.019184 Loss_D_real: -0.026972 Loss_D_fake -0.007683
[1677/5000][280/535][173121] Loss_D: -0.018243 Loss_G: 0.022872 Loss_D_real: -0.018535 Loss_D_fake -0.000292
[1677/5000][285/535][173122] Loss_D: -0.018751 Loss_G: -0.007758 Loss_D_real: -0.017720 Loss_D_fake 0.001031
[1677/5000][290/535][173123] Loss_D: -0.019227 Loss_G: 0.009994 Loss_D_real: -0.026981 Loss_D_fake -0.007754
[1677/5000][295/535][173124] Loss_D: -0.017684 Loss_G: 0.017325 Loss_D_real: -0.017536 Loss_D_fake 0.000148
[1677/5000][300/535][173125] Loss_D: -0.018319 Loss_G: -0.005502 Loss_D_real: -0.016022 Loss_D_fake 0.002297
[1677/5000][305/535][173126] Loss_D: -0.017970 Loss_G: 0.010073 Loss_D_real: -0.023424 Loss_D_fake -0.005454
[1677/5000][310/535][173127] Loss_D: -0.019238 Loss_G: 0.011323 Loss_D_real: 0.002604 Loss_D_fake 0.021842
[1677/5000][315/535][173128] Loss_D: -0.019064 Loss_G: 0.006665 Loss_D_real: -0.010566 Loss_D_fake 0.008498
[1677/5000][320/535][173129] Loss_D: -0.019249 Loss_G: 0.019899 Loss_D_real: -0.016879 Loss_D_fake 0.002369
[1677/5000][325/535][173130] Loss_D: -0.019264 Loss_G: 0.009144 Loss_D_real: -0.019986 Loss_D_fake -0.000723
[1677/5000][330/535][173131] Loss_D: -0.019075 Loss_G: -0.004497 Loss_D_real: -0.014017 Loss_D_fake 0.005057
[1677/5000][335/535][173132] Loss_D: -0.020372 Loss_G: 0.010400 Loss_D_real: -0.022506 Loss_D_fake -0.002135
[1677/5000][340/535][173133] Loss_D: -0.020500 Loss_G: 0.018748 Loss_D_real: -0.016507 Loss_D_fake 0.003993
[1677/5000][345/535][173134] Loss_D: -0.017336 Loss_G: -0.006486 Loss_D_real: -0.007469 Loss_D_fake 0.009867
[1677/5000][350/535][173135] Loss_D: -0.019832 Loss_G: -0.007251 Loss_D_real: -0.009394 Loss_D_fake 0.010438
[1677/5000][355/535][173136] Loss_D: -0.019666 Loss_G: 0.006484 Loss_D_real: -0.009822 Loss_D_fake 0.009845
[1677/5000][360/535][173137] Loss_D: -0.018772 Loss_G: 0.008616 Loss_D_real: -0.009695 Loss_D_fake 0.009077
[1677/5000][365/535][173138] Loss_D: -0.021233 Loss_G: 0.011665 Loss_D_real: -0.000878 Loss_D_fake 0.020355
[1677/5000][370/535][173139] Loss_D: -0.019339 Loss_G: -0.004360 Loss_D_real: -0.011275 Loss_D_fake 0.008064
[1677/5000][375/535][173140] Loss_D: -0.017844 Loss_G: -0.018897 Loss_D_real: 0.002970 Loss_D_fake 0.020814
[1677/5000][380/535][173141] Loss_D: -0.017638 Loss_G: 0.024670 Loss_D_real: -0.020575 Loss_D_fake -0.002937
[1677/5000][385/535][173142] Loss_D: -0.018432 Loss_G: 0.018327 Loss_D_real: -0.029137 Loss_D_fake -0.010705
[1677/5000][390/535][173143] Loss_D: -0.018948 Loss_G: -0.013974 Loss_D_real: -0.007139 Loss_D_fake 0.011809
[1677/5000][395/535][173144] Loss_D: -0.018429 Loss_G: 0.020370 Loss_D_real: -0.024551 Loss_D_fake -0.006122
[1677/5000][400/535][173145] Loss_D: -0.020685 Loss_G: 0.013335 Loss_D_real: -0.019181 Loss_D_fake 0.001505
[1677/5000][405/535][173146] Loss_D: -0.020036 Loss_G: 0.012651 Loss_D_real: -0.016648 Loss_D_fake 0.003388
[1677/5000][410/535][173147] Loss_D: -0.017366 Loss_G: -0.006454 Loss_D_real: -0.003060 Loss_D_fake 0.014306
[1677/5000][415/535][173148] Loss_D: -0.018177 Loss_G: -0.009549 Loss_D_real: -0.003549 Loss_D_fake 0.014629
[1677/5000][420/535][173149] Loss_D: -0.018114 Loss_G: 0.005788 Loss_D_real: -0.019886 Loss_D_fake -0.001771
[1677/5000][425/535][173150] Loss_D: -0.018361 Loss_G: -0.001959 Loss_D_real: 0.005843 Loss_D_fake 0.024205
[1677/5000][430/535][173151] Loss_D: -0.019534 Loss_G: 0.010582 Loss_D_real: -0.020086 Loss_D_fake -0.000552
[1677/5000][435/535][173152] Loss_D: -0.018134 Loss_G: -0.004345 Loss_D_real: -0.002140 Loss_D_fake 0.015993
[1677/5000][440/535][173153] Loss_D: -0.019199 Loss_G: -0.000005 Loss_D_real: -0.010134 Loss_D_fake 0.009065
[1677/5000][445/535][173154] Loss_D: -0.018582 Loss_G: -0.007320 Loss_D_real: 0.000941 Loss_D_fake 0.019524
[1677/5000][450/535][173155] Loss_D: -0.018815 Loss_G: 0.006579 Loss_D_real: -0.014954 Loss_D_fake 0.003861
[1677/5000][455/535][173156] Loss_D: -0.017657 Loss_G: 0.010792 Loss_D_real: -0.020380 Loss_D_fake -0.002723
[1677/5000][460/535][173157] Loss_D: -0.020062 Loss_G: 0.022106 Loss_D_real: -0.019239 Loss_D_fake 0.000823
[1677/5000][465/535][173158] Loss_D: -0.019779 Loss_G: 0.003462 Loss_D_real: -0.006892 Loss_D_fake 0.012887
[1677/5000][470/535][173159] Loss_D: -0.020399 Loss_G: 0.014696 Loss_D_real: -0.014161 Loss_D_fake 0.006238
[1677/5000][475/535][173160] Loss_D: -0.019356 Loss_G: 0.002613 Loss_D_real: -0.007769 Loss_D_fake 0.011587
[1677/5000][480/535][173161] Loss_D: -0.018666 Loss_G: -0.021290 Loss_D_real: -0.013290 Loss_D_fake 0.005376
[1677/5000][485/535][173162] Loss_D: -0.017607 Loss_G: -0.008893 Loss_D_real: -0.002571 Loss_D_fake 0.015036
[1677/5000][490/535][173163] Loss_D: -0.019625 Loss_G: 0.000691 Loss_D_real: -0.016844 Loss_D_fake 0.002780
[1677/5000][495/535][173164] Loss_D: -0.018539 Loss_G: 0.024502 Loss_D_real: -0.019064 Loss_D_fake -0.000524
[1677/5000][500/535][173165] Loss_D: -0.019739 Loss_G: 0.009550 Loss_D_real: -0.015416 Loss_D_fake 0.004324
[1677/5000][505/535][173166] Loss_D: -0.019465 Loss_G: 0.022031 Loss_D_real: -0.028553 Loss_D_fake -0.009088
[1677/5000][510/535][173167] Loss_D: -0.019769 Loss_G: 0.004541 Loss_D_real: -0.009799 Loss_D_fake 0.009970
[1677/5000][515/535][173168] Loss_D: -0.019073 Loss_G: 0.006875 Loss_D_real: -0.025990 Loss_D_fake -0.006918
[1677/5000][520/535][173169] Loss_D: -0.018617 Loss_G: -0.002900 Loss_D_real: -0.009611 Loss_D_fake 0.009007
[1677/5000][525/535][173170] Loss_D: -0.018118 Loss_G: -0.010503 Loss_D_real: -0.005610 Loss_D_fake 0.012509
[1677/5000][530/535][173171] Loss_D: -0.018204 Loss_G: -0.002365 Loss_D_real: -0.004058 Loss_D_fake 0.014146
[1677/5000][535/535][173172] Loss_D: -0.017429 Loss_G: 0.027070 Loss_D_real: -0.022801 Loss_D_fake -0.005372
[1678/5000][5/535][173173] Loss_D: -0.019860 Loss_G: 0.004365 Loss_D_real: -0.023019 Loss_D_fake -0.003159
[1678/5000][10/535][173174] Loss_D: -0.019041 Loss_G: 0.014339 Loss_D_real: -0.014855 Loss_D_fake 0.004186
[1678/5000][15/535][173175] Loss_D: -0.018296 Loss_G: 0.014491 Loss_D_real: -0.022059 Loss_D_fake -0.003763
[1678/5000][20/535][173176] Loss_D: -0.017715 Loss_G: 0.014186 Loss_D_real: -0.022727 Loss_D_fake -0.005012
[1678/5000][25/535][173177] Loss_D: -0.019437 Loss_G: 0.001500 Loss_D_real: -0.012783 Loss_D_fake 0.006654
[1678/5000][30/535][173178] Loss_D: -0.016823 Loss_G: 0.017918 Loss_D_real: -0.030774 Loss_D_fake -0.013952
[1678/5000][35/535][173179] Loss_D: -0.018863 Loss_G: 0.003889 Loss_D_real: -0.023451 Loss_D_fake -0.004589
[1678/5000][40/535][173180] Loss_D: -0.019473 Loss_G: 0.007940 Loss_D_real: -0.032423 Loss_D_fake -0.012950
[1678/5000][45/535][173181] Loss_D: -0.018330 Loss_G: 0.010627 Loss_D_real: -0.011295 Loss_D_fake 0.007035
[1678/5000][50/535][173182] Loss_D: -0.019896 Loss_G: 0.019669 Loss_D_real: -0.020023 Loss_D_fake -0.000128
[1678/5000][55/535][173183] Loss_D: -0.018289 Loss_G: 0.028283 Loss_D_real: -0.022226 Loss_D_fake -0.003937
[1678/5000][60/535][173184] Loss_D: -0.018764 Loss_G: 0.003993 Loss_D_real: -0.015411 Loss_D_fake 0.003353
[1678/5000][65/535][173185] Loss_D: -0.018244 Loss_G: 0.019039 Loss_D_real: -0.015606 Loss_D_fake 0.002638
[1678/5000][70/535][173186] Loss_D: -0.018450 Loss_G: 0.009571 Loss_D_real: -0.018685 Loss_D_fake -0.000235
[1678/5000][75/535][173187] Loss_D: -0.017472 Loss_G: 0.019853 Loss_D_real: -0.034940 Loss_D_fake -0.017467
[1678/5000][80/535][173188] Loss_D: -0.018330 Loss_G: -0.000684 Loss_D_real: -0.015242 Loss_D_fake 0.003088
[1678/5000][85/535][173189] Loss_D: -0.018421 Loss_G: 0.014322 Loss_D_real: -0.029893 Loss_D_fake -0.011472
[1678/5000][90/535][173190] Loss_D: -0.018404 Loss_G: 0.004675 Loss_D_real: -0.029039 Loss_D_fake -0.010635
[1678/5000][95/535][173191] Loss_D: -0.018983 Loss_G: -0.000583 Loss_D_real: -0.003115 Loss_D_fake 0.015869
[1678/5000][100/535][173192] Loss_D: -0.018998 Loss_G: 0.015102 Loss_D_real: -0.017997 Loss_D_fake 0.001001
[1678/5000][105/535][173193] Loss_D: -0.018573 Loss_G: 0.023640 Loss_D_real: -0.025328 Loss_D_fake -0.006755
[1678/5000][110/535][173194] Loss_D: -0.018971 Loss_G: -0.005540 Loss_D_real: -0.004757 Loss_D_fake 0.014214
[1678/5000][115/535][173195] Loss_D: -0.018198 Loss_G: 0.019767 Loss_D_real: -0.016548 Loss_D_fake 0.001650
[1678/5000][120/535][173196] Loss_D: -0.017462 Loss_G: 0.005379 Loss_D_real: -0.001034 Loss_D_fake 0.016428
[1678/5000][125/535][173197] Loss_D: -0.017869 Loss_G: -0.008786 Loss_D_real: -0.008644 Loss_D_fake 0.009225
[1678/5000][130/535][173198] Loss_D: -0.019655 Loss_G: 0.021655 Loss_D_real: -0.017414 Loss_D_fake 0.002242
[1678/5000][135/535][173199] Loss_D: -0.019985 Loss_G: -0.006297 Loss_D_real: -0.022515 Loss_D_fake -0.002530
[1678/5000][140/535][173200] Loss_D: -0.019414 Loss_G: 0.002641 Loss_D_real: -0.026516 Loss_D_fake -0.007103
[1678/5000][145/535][173201] Loss_D: -0.019947 Loss_G: 0.006039 Loss_D_real: -0.021862 Loss_D_fake -0.001915
[1678/5000][150/535][173202] Loss_D: -0.019212 Loss_G: 0.009361 Loss_D_real: -0.006385 Loss_D_fake 0.012827
[1678/5000][155/535][173203] Loss_D: -0.019332 Loss_G: 0.018654 Loss_D_real: -0.019701 Loss_D_fake -0.000370
[1678/5000][160/535][173204] Loss_D: -0.018893 Loss_G: 0.014650 Loss_D_real: -0.018237 Loss_D_fake 0.000657
[1678/5000][165/535][173205] Loss_D: -0.020211 Loss_G: 0.006717 Loss_D_real: -0.022701 Loss_D_fake -0.002489
[1678/5000][170/535][173206] Loss_D: -0.019693 Loss_G: 0.008408 Loss_D_real: 0.004452 Loss_D_fake 0.024145
[1678/5000][175/535][173207] Loss_D: -0.017782 Loss_G: 0.006922 Loss_D_real: -0.015983 Loss_D_fake 0.001799
[1678/5000][180/535][173208] Loss_D: -0.019118 Loss_G: -0.006644 Loss_D_real: -0.003627 Loss_D_fake 0.015491
[1678/5000][185/535][173209] Loss_D: -0.017813 Loss_G: -0.000861 Loss_D_real: -0.010002 Loss_D_fake 0.007811
[1678/5000][190/535][173210] Loss_D: -0.018138 Loss_G: -0.014460 Loss_D_real: -0.013566 Loss_D_fake 0.004573
[1678/5000][195/535][173211] Loss_D: -0.018985 Loss_G: 0.026387 Loss_D_real: -0.022253 Loss_D_fake -0.003268
[1678/5000][200/535][173212] Loss_D: -0.018082 Loss_G: -0.002634 Loss_D_real: -0.012651 Loss_D_fake 0.005431
[1678/5000][205/535][173213] Loss_D: -0.017461 Loss_G: 0.008576 Loss_D_real: -0.016905 Loss_D_fake 0.000555
[1678/5000][210/535][173214] Loss_D: -0.019356 Loss_G: 0.006787 Loss_D_real: -0.005620 Loss_D_fake 0.013736
[1678/5000][215/535][173215] Loss_D: -0.018468 Loss_G: 0.015100 Loss_D_real: -0.028021 Loss_D_fake -0.009552
[1678/5000][220/535][173216] Loss_D: -0.019036 Loss_G: -0.004491 Loss_D_real: 0.002429 Loss_D_fake 0.021465
[1678/5000][225/535][173217] Loss_D: -0.017806 Loss_G: 0.020249 Loss_D_real: -0.025933 Loss_D_fake -0.008128
[1678/5000][230/535][173218] Loss_D: -0.018503 Loss_G: 0.015482 Loss_D_real: -0.008786 Loss_D_fake 0.009717
[1678/5000][235/535][173219] Loss_D: -0.019275 Loss_G: 0.013258 Loss_D_real: -0.011766 Loss_D_fake 0.007509
[1678/5000][240/535][173220] Loss_D: -0.019583 Loss_G: 0.006495 Loss_D_real: -0.022035 Loss_D_fake -0.002451
[1678/5000][245/535][173221] Loss_D: -0.018119 Loss_G: -0.000518 Loss_D_real: -0.008681 Loss_D_fake 0.009438
[1678/5000][250/535][173222] Loss_D: -0.018240 Loss_G: 0.009602 Loss_D_real: -0.008485 Loss_D_fake 0.009755
[1678/5000][255/535][173223] Loss_D: -0.019170 Loss_G: -0.001406 Loss_D_real: -0.006548 Loss_D_fake 0.012622
[1678/5000][260/535][173224] Loss_D: -0.019134 Loss_G: 0.024628 Loss_D_real: -0.016677 Loss_D_fake 0.002457
[1678/5000][265/535][173225] Loss_D: -0.019178 Loss_G: 0.002101 Loss_D_real: -0.019210 Loss_D_fake -0.000032
[1678/5000][270/535][173226] Loss_D: -0.019218 Loss_G: 0.017951 Loss_D_real: -0.019434 Loss_D_fake -0.000216
[1678/5000][275/535][173227] Loss_D: -0.019373 Loss_G: 0.010743 Loss_D_real: -0.012788 Loss_D_fake 0.006585
[1678/5000][280/535][173228] Loss_D: -0.021320 Loss_G: 0.007268 Loss_D_real: -0.030804 Loss_D_fake -0.009484
[1678/5000][285/535][173229] Loss_D: -0.018242 Loss_G: 0.035706 Loss_D_real: -0.033490 Loss_D_fake -0.015248
[1678/5000][290/535][173230] Loss_D: -0.018234 Loss_G: 0.008195 Loss_D_real: -0.028407 Loss_D_fake -0.010172
[1678/5000][295/535][173231] Loss_D: -0.018467 Loss_G: 0.017605 Loss_D_real: -0.027885 Loss_D_fake -0.009419
[1678/5000][300/535][173232] Loss_D: -0.019110 Loss_G: 0.014444 Loss_D_real: -0.009761 Loss_D_fake 0.009349
[1678/5000][305/535][173233] Loss_D: -0.017960 Loss_G: 0.004906 Loss_D_real: -0.004244 Loss_D_fake 0.013716
[1678/5000][310/535][173234] Loss_D: -0.017801 Loss_G: 0.005491 Loss_D_real: -0.027010 Loss_D_fake -0.009209
[1678/5000][315/535][173235] Loss_D: -0.017696 Loss_G: -0.022215 Loss_D_real: -0.004157 Loss_D_fake 0.013540
[1678/5000][320/535][173236] Loss_D: -0.017204 Loss_G: 0.024576 Loss_D_real: -0.027917 Loss_D_fake -0.010713
[1678/5000][325/535][173237] Loss_D: -0.018278 Loss_G: -0.000132 Loss_D_real: -0.015937 Loss_D_fake 0.002340
[1678/5000][330/535][173238] Loss_D: -0.018925 Loss_G: 0.007863 Loss_D_real: -0.010305 Loss_D_fake 0.008620
[1678/5000][335/535][173239] Loss_D: -0.017640 Loss_G: 0.000417 Loss_D_real: 0.003192 Loss_D_fake 0.020832
[1678/5000][340/535][173240] Loss_D: -0.018072 Loss_G: 0.005597 Loss_D_real: -0.021893 Loss_D_fake -0.003820
[1678/5000][345/535][173241] Loss_D: -0.019030 Loss_G: 0.015082 Loss_D_real: -0.011679 Loss_D_fake 0.007351
[1678/5000][350/535][173242] Loss_D: -0.019242 Loss_G: 0.002351 Loss_D_real: -0.008013 Loss_D_fake 0.011229
[1678/5000][355/535][173243] Loss_D: -0.018162 Loss_G: 0.000386 Loss_D_real: -0.009891 Loss_D_fake 0.008272
[1678/5000][360/535][173244] Loss_D: -0.019578 Loss_G: 0.027302 Loss_D_real: -0.021122 Loss_D_fake -0.001544
[1678/5000][365/535][173245] Loss_D: -0.017673 Loss_G: 0.005078 Loss_D_real: -0.025183 Loss_D_fake -0.007510
[1678/5000][370/535][173246] Loss_D: -0.017794 Loss_G: -0.011354 Loss_D_real: -0.001305 Loss_D_fake 0.016489
[1678/5000][375/535][173247] Loss_D: -0.015468 Loss_G: -0.015228 Loss_D_real: 0.012250 Loss_D_fake 0.027718
[1678/5000][380/535][173248] Loss_D: -0.017978 Loss_G: 0.015058 Loss_D_real: -0.024009 Loss_D_fake -0.006031
[1678/5000][385/535][173249] Loss_D: -0.019784 Loss_G: -0.021343 Loss_D_real: -0.009097 Loss_D_fake 0.010686
[1678/5000][390/535][173250] Loss_D: -0.018917 Loss_G: 0.005792 Loss_D_real: 0.001259 Loss_D_fake 0.020175
[1678/5000][395/535][173251] Loss_D: -0.018506 Loss_G: 0.020806 Loss_D_real: -0.018048 Loss_D_fake 0.000458
[1678/5000][400/535][173252] Loss_D: -0.018284 Loss_G: 0.016704 Loss_D_real: -0.019067 Loss_D_fake -0.000783
[1678/5000][405/535][173253] Loss_D: -0.020430 Loss_G: 0.014502 Loss_D_real: -0.019972 Loss_D_fake 0.000458
[1678/5000][410/535][173254] Loss_D: -0.018353 Loss_G: 0.004981 Loss_D_real: -0.002987 Loss_D_fake 0.015365
[1678/5000][415/535][173255] Loss_D: -0.018780 Loss_G: -0.007271 Loss_D_real: -0.007631 Loss_D_fake 0.011149
[1678/5000][420/535][173256] Loss_D: -0.018841 Loss_G: -0.003515 Loss_D_real: -0.020006 Loss_D_fake -0.001165
[1678/5000][425/535][173257] Loss_D: -0.018902 Loss_G: 0.002611 Loss_D_real: -0.022215 Loss_D_fake -0.003312
[1678/5000][430/535][173258] Loss_D: -0.018693 Loss_G: 0.024433 Loss_D_real: -0.031214 Loss_D_fake -0.012521
[1678/5000][435/535][173259] Loss_D: -0.020278 Loss_G: 0.012079 Loss_D_real: -0.003381 Loss_D_fake 0.016897
[1678/5000][440/535][173260] Loss_D: -0.018579 Loss_G: 0.010045 Loss_D_real: -0.024757 Loss_D_fake -0.006178
[1678/5000][445/535][173261] Loss_D: -0.019533 Loss_G: 0.016477 Loss_D_real: -0.020709 Loss_D_fake -0.001176
[1678/5000][450/535][173262] Loss_D: -0.019202 Loss_G: -0.019824 Loss_D_real: -0.002370 Loss_D_fake 0.016833
[1678/5000][455/535][173263] Loss_D: -0.018183 Loss_G: 0.018044 Loss_D_real: -0.028104 Loss_D_fake -0.009921
[1678/5000][460/535][173264] Loss_D: -0.018819 Loss_G: 0.009474 Loss_D_real: -0.011054 Loss_D_fake 0.007764
[1678/5000][465/535][173265] Loss_D: -0.019568 Loss_G: -0.005731 Loss_D_real: -0.009661 Loss_D_fake 0.009907
[1678/5000][470/535][173266] Loss_D: -0.020630 Loss_G: 0.006730 Loss_D_real: -0.022527 Loss_D_fake -0.001897
[1678/5000][475/535][173267] Loss_D: -0.020718 Loss_G: 0.012636 Loss_D_real: -0.023633 Loss_D_fake -0.002915
[1678/5000][480/535][173268] Loss_D: -0.020370 Loss_G: -0.009023 Loss_D_real: -0.003557 Loss_D_fake 0.016814
[1678/5000][485/535][173269] Loss_D: -0.018541 Loss_G: 0.009469 Loss_D_real: -0.022288 Loss_D_fake -0.003747
[1678/5000][490/535][173270] Loss_D: -0.019868 Loss_G: 0.022352 Loss_D_real: -0.019295 Loss_D_fake 0.000573
[1678/5000][495/535][173271] Loss_D: -0.018381 Loss_G: 0.019780 Loss_D_real: -0.023442 Loss_D_fake -0.005061
[1678/5000][500/535][173272] Loss_D: -0.018376 Loss_G: 0.009201 Loss_D_real: -0.019464 Loss_D_fake -0.001088
[1678/5000][505/535][173273] Loss_D: -0.018542 Loss_G: 0.022703 Loss_D_real: -0.016050 Loss_D_fake 0.002493
[1678/5000][510/535][173274] Loss_D: -0.019599 Loss_G: 0.014884 Loss_D_real: -0.009656 Loss_D_fake 0.009943
[1678/5000][515/535][173275] Loss_D: -0.019075 Loss_G: 0.020451 Loss_D_real: -0.026300 Loss_D_fake -0.007225
[1678/5000][520/535][173276] Loss_D: -0.019667 Loss_G: -0.011961 Loss_D_real: -0.017562 Loss_D_fake 0.002106
[1678/5000][525/535][173277] Loss_D: -0.017564 Loss_G: 0.010275 Loss_D_real: -0.030286 Loss_D_fake -0.012721
[1678/5000][530/535][173278] Loss_D: -0.018706 Loss_G: 0.020228 Loss_D_real: -0.019574 Loss_D_fake -0.000868
[1678/5000][535/535][173279] Loss_D: -0.018376 Loss_G: -0.035388 Loss_D_real: -0.008442 Loss_D_fake 0.009934
[1679/5000][5/535][173280] Loss_D: -0.019207 Loss_G: -0.000599 Loss_D_real: -0.005542 Loss_D_fake 0.013665
[1679/5000][10/535][173281] Loss_D: -0.018241 Loss_G: -0.010798 Loss_D_real: -0.007151 Loss_D_fake 0.011090
[1679/5000][15/535][173282] Loss_D: -0.018375 Loss_G: 0.021977 Loss_D_real: -0.019715 Loss_D_fake -0.001340
[1679/5000][20/535][173283] Loss_D: -0.019816 Loss_G: 0.006406 Loss_D_real: 0.003488 Loss_D_fake 0.023304
[1679/5000][25/535][173284] Loss_D: -0.018354 Loss_G: 0.005907 Loss_D_real: -0.019753 Loss_D_fake -0.001398
[1679/5000][30/535][173285] Loss_D: -0.017831 Loss_G: 0.002208 Loss_D_real: -0.022417 Loss_D_fake -0.004586
[1679/5000][35/535][173286] Loss_D: -0.018965 Loss_G: -0.004779 Loss_D_real: -0.003400 Loss_D_fake 0.015564
[1679/5000][40/535][173287] Loss_D: -0.018246 Loss_G: 0.016986 Loss_D_real: -0.021714 Loss_D_fake -0.003468
[1679/5000][45/535][173288] Loss_D: -0.019528 Loss_G: 0.011413 Loss_D_real: -0.016349 Loss_D_fake 0.003180
[1679/5000][50/535][173289] Loss_D: -0.017019 Loss_G: -0.012923 Loss_D_real: 0.008567 Loss_D_fake 0.025586
[1679/5000][55/535][173290] Loss_D: -0.019110 Loss_G: 0.010041 Loss_D_real: -0.010439 Loss_D_fake 0.008671
[1679/5000][60/535][173291] Loss_D: -0.019999 Loss_G: 0.007653 Loss_D_real: -0.011508 Loss_D_fake 0.008491
[1679/5000][65/535][173292] Loss_D: -0.019100 Loss_G: -0.014497 Loss_D_real: -0.004794 Loss_D_fake 0.014306
[1679/5000][70/535][173293] Loss_D: -0.018347 Loss_G: 0.006061 Loss_D_real: -0.006019 Loss_D_fake 0.012328
[1679/5000][75/535][173294] Loss_D: -0.017916 Loss_G: -0.007067 Loss_D_real: -0.011522 Loss_D_fake 0.006394
[1679/5000][80/535][173295] Loss_D: -0.018846 Loss_G: -0.005047 Loss_D_real: -0.004778 Loss_D_fake 0.014068
[1679/5000][85/535][173296] Loss_D: -0.019251 Loss_G: 0.026654 Loss_D_real: -0.013898 Loss_D_fake 0.005353
[1679/5000][90/535][173297] Loss_D: -0.019063 Loss_G: 0.009967 Loss_D_real: -0.026834 Loss_D_fake -0.007771
[1679/5000][95/535][173298] Loss_D: -0.017731 Loss_G: -0.002344 Loss_D_real: -0.018131 Loss_D_fake -0.000400
[1679/5000][100/535][173299] Loss_D: -0.019169 Loss_G: 0.006736 Loss_D_real: -0.009169 Loss_D_fake 0.010000
[1679/5000][105/535][173300] Loss_D: -0.019135 Loss_G: 0.022853 Loss_D_real: -0.020021 Loss_D_fake -0.000886
[1679/5000][110/535][173301] Loss_D: -0.020801 Loss_G: -0.009618 Loss_D_real: -0.009459 Loss_D_fake 0.011342
[1679/5000][115/535][173302] Loss_D: -0.018829 Loss_G: 0.006432 Loss_D_real: -0.015357 Loss_D_fake 0.003472
[1679/5000][120/535][173303] Loss_D: -0.018989 Loss_G: -0.003282 Loss_D_real: -0.006642 Loss_D_fake 0.012348
[1679/5000][125/535][173304] Loss_D: -0.019614 Loss_G: 0.010893 Loss_D_real: -0.014895 Loss_D_fake 0.004719
[1679/5000][130/535][173305] Loss_D: -0.018957 Loss_G: 0.004874 Loss_D_real: -0.009966 Loss_D_fake 0.008992
[1679/5000][135/535][173306] Loss_D: -0.019159 Loss_G: 0.016617 Loss_D_real: -0.015155 Loss_D_fake 0.004004
[1679/5000][140/535][173307] Loss_D: -0.018095 Loss_G: 0.010525 Loss_D_real: -0.025209 Loss_D_fake -0.007114
[1679/5000][145/535][173308] Loss_D: -0.018581 Loss_G: 0.023918 Loss_D_real: -0.021736 Loss_D_fake -0.003155
[1679/5000][150/535][173309] Loss_D: -0.018080 Loss_G: 0.012209 Loss_D_real: -0.025271 Loss_D_fake -0.007191
[1679/5000][155/535][173310] Loss_D: -0.019257 Loss_G: 0.005365 Loss_D_real: -0.001648 Loss_D_fake 0.017610
[1679/5000][160/535][173311] Loss_D: -0.019781 Loss_G: -0.011456 Loss_D_real: 0.003986 Loss_D_fake 0.023768
[1679/5000][165/535][173312] Loss_D: -0.018958 Loss_G: -0.008875 Loss_D_real: -0.000997 Loss_D_fake 0.017961
[1679/5000][170/535][173313] Loss_D: -0.019043 Loss_G: 0.010642 Loss_D_real: -0.019993 Loss_D_fake -0.000951
[1679/5000][175/535][173314] Loss_D: -0.020164 Loss_G: -0.000543 Loss_D_real: -0.019946 Loss_D_fake 0.000219
[1679/5000][180/535][173315] Loss_D: -0.018532 Loss_G: -0.011474 Loss_D_real: -0.005212 Loss_D_fake 0.013320
[1679/5000][185/535][173316] Loss_D: -0.019540 Loss_G: 0.009111 Loss_D_real: -0.007744 Loss_D_fake 0.011796
[1679/5000][190/535][173317] Loss_D: -0.019273 Loss_G: -0.002697 Loss_D_real: -0.015912 Loss_D_fake 0.003362
[1679/5000][195/535][173318] Loss_D: -0.019541 Loss_G: 0.005169 Loss_D_real: -0.014145 Loss_D_fake 0.005396
[1679/5000][200/535][173319] Loss_D: -0.017732 Loss_G: 0.014666 Loss_D_real: -0.015851 Loss_D_fake 0.001881
[1679/5000][205/535][173320] Loss_D: -0.015139 Loss_G: 0.030074 Loss_D_real: -0.027425 Loss_D_fake -0.012286
[1679/5000][210/535][173321] Loss_D: -0.019780 Loss_G: 0.009265 Loss_D_real: -0.011108 Loss_D_fake 0.008672
[1679/5000][215/535][173322] Loss_D: -0.018695 Loss_G: 0.012020 Loss_D_real: -0.017654 Loss_D_fake 0.001042
[1679/5000][220/535][173323] Loss_D: -0.018520 Loss_G: 0.018676 Loss_D_real: -0.025936 Loss_D_fake -0.007416
[1679/5000][225/535][173324] Loss_D: -0.018102 Loss_G: 0.005061 Loss_D_real: -0.011106 Loss_D_fake 0.006996
[1679/5000][230/535][173325] Loss_D: -0.018835 Loss_G: -0.005159 Loss_D_real: -0.017172 Loss_D_fake 0.001663
[1679/5000][235/535][173326] Loss_D: -0.019244 Loss_G: 0.016994 Loss_D_real: -0.020651 Loss_D_fake -0.001407
[1679/5000][240/535][173327] Loss_D: -0.019448 Loss_G: -0.015537 Loss_D_real: 0.001831 Loss_D_fake 0.021279
[1679/5000][245/535][173328] Loss_D: -0.018945 Loss_G: 0.016400 Loss_D_real: -0.020392 Loss_D_fake -0.001448
[1679/5000][250/535][173329] Loss_D: -0.017345 Loss_G: 0.015964 Loss_D_real: -0.027232 Loss_D_fake -0.009887
[1679/5000][255/535][173330] Loss_D: -0.018430 Loss_G: 0.015522 Loss_D_real: -0.017106 Loss_D_fake 0.001324
[1679/5000][260/535][173331] Loss_D: -0.017597 Loss_G: 0.011465 Loss_D_real: -0.018284 Loss_D_fake -0.000687
[1679/5000][265/535][173332] Loss_D: -0.018204 Loss_G: 0.004501 Loss_D_real: -0.014837 Loss_D_fake 0.003368
[1679/5000][270/535][173333] Loss_D: -0.018037 Loss_G: 0.009648 Loss_D_real: -0.022751 Loss_D_fake -0.004714
[1679/5000][275/535][173334] Loss_D: -0.018454 Loss_G: 0.003872 Loss_D_real: -0.023562 Loss_D_fake -0.005107
[1679/5000][280/535][173335] Loss_D: -0.017990 Loss_G: 0.004633 Loss_D_real: -0.009865 Loss_D_fake 0.008125
[1679/5000][285/535][173336] Loss_D: -0.018071 Loss_G: -0.004497 Loss_D_real: -0.023307 Loss_D_fake -0.005236
[1679/5000][290/535][173337] Loss_D: -0.018979 Loss_G: 0.029506 Loss_D_real: -0.024102 Loss_D_fake -0.005123
[1679/5000][295/535][173338] Loss_D: -0.017909 Loss_G: -0.018777 Loss_D_real: 0.004913 Loss_D_fake 0.022821
[1679/5000][300/535][173339] Loss_D: -0.020914 Loss_G: 0.014947 Loss_D_real: -0.011190 Loss_D_fake 0.009724
[1679/5000][305/535][173340] Loss_D: -0.019190 Loss_G: 0.012116 Loss_D_real: -0.022102 Loss_D_fake -0.002912
[1679/5000][310/535][173341] Loss_D: -0.020121 Loss_G: -0.006025 Loss_D_real: -0.013151 Loss_D_fake 0.006970
[1679/5000][315/535][173342] Loss_D: -0.019240 Loss_G: -0.008200 Loss_D_real: -0.001881 Loss_D_fake 0.017359
[1679/5000][320/535][173343] Loss_D: -0.019419 Loss_G: -0.004101 Loss_D_real: 0.003867 Loss_D_fake 0.023286
[1679/5000][325/535][173344] Loss_D: -0.017492 Loss_G: -0.008526 Loss_D_real: -0.013233 Loss_D_fake 0.004258
[1679/5000][330/535][173345] Loss_D: -0.018394 Loss_G: 0.000270 Loss_D_real: -0.013987 Loss_D_fake 0.004408
[1679/5000][335/535][173346] Loss_D: -0.019074 Loss_G: 0.007045 Loss_D_real: -0.008006 Loss_D_fake 0.011068
[1679/5000][340/535][173347] Loss_D: -0.018420 Loss_G: 0.025811 Loss_D_real: -0.023579 Loss_D_fake -0.005160
[1679/5000][345/535][173348] Loss_D: -0.018491 Loss_G: -0.000882 Loss_D_real: -0.005540 Loss_D_fake 0.012950
[1679/5000][350/535][173349] Loss_D: -0.018612 Loss_G: 0.016195 Loss_D_real: -0.021991 Loss_D_fake -0.003379
[1679/5000][355/535][173350] Loss_D: -0.018737 Loss_G: 0.013284 Loss_D_real: -0.021608 Loss_D_fake -0.002871
[1679/5000][360/535][173351] Loss_D: -0.020143 Loss_G: 0.031542 Loss_D_real: -0.028718 Loss_D_fake -0.008576
[1679/5000][365/535][173352] Loss_D: -0.017393 Loss_G: 0.000207 Loss_D_real: -0.025185 Loss_D_fake -0.007791
[1679/5000][370/535][173353] Loss_D: -0.019002 Loss_G: 0.020054 Loss_D_real: -0.024555 Loss_D_fake -0.005553
[1679/5000][375/535][173354] Loss_D: -0.019475 Loss_G: 0.003861 Loss_D_real: -0.013731 Loss_D_fake 0.005744
[1679/5000][380/535][173355] Loss_D: -0.017995 Loss_G: 0.003821 Loss_D_real: -0.013092 Loss_D_fake 0.004902
[1679/5000][385/535][173356] Loss_D: -0.018833 Loss_G: 0.013149 Loss_D_real: -0.016125 Loss_D_fake 0.002708
[1679/5000][390/535][173357] Loss_D: -0.018768 Loss_G: 0.024885 Loss_D_real: -0.020295 Loss_D_fake -0.001527
[1679/5000][395/535][173358] Loss_D: -0.019082 Loss_G: -0.005248 Loss_D_real: -0.003761 Loss_D_fake 0.015321
[1679/5000][400/535][173359] Loss_D: -0.017330 Loss_G: 0.025701 Loss_D_real: -0.031595 Loss_D_fake -0.014265
[1679/5000][405/535][173360] Loss_D: -0.020890 Loss_G: -0.006231 Loss_D_real: -0.019545 Loss_D_fake 0.001345
[1679/5000][410/535][173361] Loss_D: -0.019549 Loss_G: 0.009520 Loss_D_real: -0.013387 Loss_D_fake 0.006162
[1679/5000][415/535][173362] Loss_D: -0.020673 Loss_G: 0.000915 Loss_D_real: -0.004091 Loss_D_fake 0.016583
[1679/5000][420/535][173363] Loss_D: -0.017625 Loss_G: -0.011761 Loss_D_real: -0.003094 Loss_D_fake 0.014531
[1679/5000][425/535][173364] Loss_D: -0.019005 Loss_G: 0.011501 Loss_D_real: -0.017512 Loss_D_fake 0.001493
[1679/5000][430/535][173365] Loss_D: -0.017758 Loss_G: 0.009232 Loss_D_real: -0.019971 Loss_D_fake -0.002214
[1679/5000][435/535][173366] Loss_D: -0.017847 Loss_G: 0.031282 Loss_D_real: -0.034382 Loss_D_fake -0.016535
[1679/5000][440/535][173367] Loss_D: -0.018259 Loss_G: 0.003640 Loss_D_real: -0.017097 Loss_D_fake 0.001162
[1679/5000][445/535][173368] Loss_D: -0.019048 Loss_G: 0.022246 Loss_D_real: -0.018972 Loss_D_fake 0.000076
[1679/5000][450/535][173369] Loss_D: -0.018401 Loss_G: 0.019710 Loss_D_real: -0.016298 Loss_D_fake 0.002103
[1679/5000][455/535][173370] Loss_D: -0.018391 Loss_G: 0.002740 Loss_D_real: -0.016963 Loss_D_fake 0.001428
[1679/5000][460/535][173371] Loss_D: -0.018009 Loss_G: 0.012008 Loss_D_real: -0.029770 Loss_D_fake -0.011761
[1679/5000][465/535][173372] Loss_D: -0.019695 Loss_G: 0.010179 Loss_D_real: -0.008940 Loss_D_fake 0.010755
[1679/5000][470/535][173373] Loss_D: -0.018457 Loss_G: -0.008278 Loss_D_real: -0.000950 Loss_D_fake 0.017507
[1679/5000][475/535][173374] Loss_D: -0.019196 Loss_G: 0.012368 Loss_D_real: -0.021867 Loss_D_fake -0.002671
[1679/5000][480/535][173375] Loss_D: -0.019375 Loss_G: 0.006526 Loss_D_real: -0.025853 Loss_D_fake -0.006478
[1679/5000][485/535][173376] Loss_D: -0.019358 Loss_G: -0.015453 Loss_D_real: -0.015165 Loss_D_fake 0.004193
[1679/5000][490/535][173377] Loss_D: -0.017832 Loss_G: 0.025905 Loss_D_real: -0.020238 Loss_D_fake -0.002406
[1679/5000][495/535][173378] Loss_D: -0.017841 Loss_G: -0.010396 Loss_D_real: 0.000304 Loss_D_fake 0.018145
[1679/5000][500/535][173379] Loss_D: -0.018434 Loss_G: 0.016906 Loss_D_real: -0.013871 Loss_D_fake 0.004562
[1679/5000][505/535][173380] Loss_D: -0.018342 Loss_G: -0.005579 Loss_D_real: -0.010831 Loss_D_fake 0.007511
[1679/5000][510/535][173381] Loss_D: -0.018639 Loss_G: 0.001723 Loss_D_real: -0.009557 Loss_D_fake 0.009082
[1679/5000][515/535][173382] Loss_D: -0.018119 Loss_G: 0.018450 Loss_D_real: -0.021887 Loss_D_fake -0.003768
[1679/5000][520/535][173383] Loss_D: -0.019848 Loss_G: 0.006377 Loss_D_real: -0.014871 Loss_D_fake 0.004977
[1679/5000][525/535][173384] Loss_D: -0.018624 Loss_G: 0.033365 Loss_D_real: -0.022568 Loss_D_fake -0.003944
[1679/5000][530/535][173385] Loss_D: -0.018478 Loss_G: 0.023899 Loss_D_real: -0.021965 Loss_D_fake -0.003487
[1679/5000][535/535][173386] Loss_D: -0.016382 Loss_G: 0.030977 Loss_D_real: -0.010028 Loss_D_fake 0.006354
[1680/5000][5/535][173387] Loss_D: -0.019351 Loss_G: 0.001253 Loss_D_real: -0.020618 Loss_D_fake -0.001266
[1680/5000][10/535][173388] Loss_D: -0.020038 Loss_G: 0.009636 Loss_D_real: -0.023367 Loss_D_fake -0.003329
[1680/5000][15/535][173389] Loss_D: -0.018316 Loss_G: -0.003641 Loss_D_real: -0.001140 Loss_D_fake 0.017176
[1680/5000][20/535][173390] Loss_D: -0.018781 Loss_G: 0.003599 Loss_D_real: -0.010264 Loss_D_fake 0.008516
[1680/5000][25/535][173391] Loss_D: -0.018835 Loss_G: 0.003468 Loss_D_real: -0.023738 Loss_D_fake -0.004903
[1680/5000][30/535][173392] Loss_D: -0.017149 Loss_G: -0.014499 Loss_D_real: 0.006290 Loss_D_fake 0.023439
[1680/5000][35/535][173393] Loss_D: -0.018805 Loss_G: 0.015695 Loss_D_real: -0.019403 Loss_D_fake -0.000598
[1680/5000][40/535][173394] Loss_D: -0.019847 Loss_G: -0.005570 Loss_D_real: -0.010714 Loss_D_fake 0.009134
[1680/5000][45/535][173395] Loss_D: -0.017984 Loss_G: -0.008111 Loss_D_real: -0.012454 Loss_D_fake 0.005529
[1680/5000][50/535][173396] Loss_D: -0.018857 Loss_G: -0.009500 Loss_D_real: -0.009195 Loss_D_fake 0.009662
[1680/5000][55/535][173397] Loss_D: -0.019348 Loss_G: -0.005495 Loss_D_real: 0.000396 Loss_D_fake 0.019743
[1680/5000][60/535][173398] Loss_D: -0.017559 Loss_G: 0.015418 Loss_D_real: -0.032583 Loss_D_fake -0.015024
[1680/5000][65/535][173399] Loss_D: -0.016983 Loss_G: 0.008524 Loss_D_real: -0.015773 Loss_D_fake 0.001210
[1680/5000][70/535][173400] Loss_D: -0.019334 Loss_G: 0.026079 Loss_D_real: -0.032078 Loss_D_fake -0.012744
[1680/5000][75/535][173401] Loss_D: -0.018659 Loss_G: 0.017995 Loss_D_real: -0.020334 Loss_D_fake -0.001675
[1680/5000][80/535][173402] Loss_D: -0.018591 Loss_G: 0.006399 Loss_D_real: -0.021591 Loss_D_fake -0.003000
[1680/5000][85/535][173403] Loss_D: -0.021119 Loss_G: 0.002807 Loss_D_real: -0.008137 Loss_D_fake 0.012982
[1680/5000][90/535][173404] Loss_D: -0.018660 Loss_G: 0.005434 Loss_D_real: -0.014409 Loss_D_fake 0.004251
[1680/5000][95/535][173405] Loss_D: -0.017219 Loss_G: -0.019130 Loss_D_real: 0.000487 Loss_D_fake 0.017706
[1680/5000][100/535][173406] Loss_D: -0.018648 Loss_G: -0.001330 Loss_D_real: -0.004637 Loss_D_fake 0.014011
[1680/5000][105/535][173407] Loss_D: -0.017412 Loss_G: 0.021885 Loss_D_real: -0.027982 Loss_D_fake -0.010570
[1680/5000][110/535][173408] Loss_D: -0.019108 Loss_G: -0.003142 Loss_D_real: -0.007175 Loss_D_fake 0.011933
[1680/5000][115/535][173409] Loss_D: -0.018112 Loss_G: 0.006078 Loss_D_real: -0.022808 Loss_D_fake -0.004696
[1680/5000][120/535][173410] Loss_D: -0.018068 Loss_G: 0.017307 Loss_D_real: -0.029134 Loss_D_fake -0.011066
[1680/5000][125/535][173411] Loss_D: -0.019403 Loss_G: -0.022092 Loss_D_real: 0.002712 Loss_D_fake 0.022116
[1680/5000][130/535][173412] Loss_D: -0.019902 Loss_G: 0.013245 Loss_D_real: -0.021380 Loss_D_fake -0.001478
[1680/5000][135/535][173413] Loss_D: -0.018670 Loss_G: 0.000454 Loss_D_real: -0.015319 Loss_D_fake 0.003351
[1680/5000][140/535][173414] Loss_D: -0.018817 Loss_G: -0.004745 Loss_D_real: -0.005530 Loss_D_fake 0.013288
[1680/5000][145/535][173415] Loss_D: -0.018907 Loss_G: -0.003684 Loss_D_real: -0.005625 Loss_D_fake 0.013283
[1680/5000][150/535][173416] Loss_D: -0.019260 Loss_G: 0.009942 Loss_D_real: -0.009915 Loss_D_fake 0.009344
[1680/5000][155/535][173417] Loss_D: -0.019911 Loss_G: -0.005107 Loss_D_real: -0.000984 Loss_D_fake 0.018927
[1680/5000][160/535][173418] Loss_D: -0.019260 Loss_G: 0.033939 Loss_D_real: -0.010677 Loss_D_fake 0.008583
[1680/5000][165/535][173419] Loss_D: -0.019625 Loss_G: 0.002360 Loss_D_real: -0.010070 Loss_D_fake 0.009554
[1680/5000][170/535][173420] Loss_D: -0.018950 Loss_G: 0.021485 Loss_D_real: -0.029755 Loss_D_fake -0.010805
[1680/5000][175/535][173421] Loss_D: -0.019523 Loss_G: 0.011178 Loss_D_real: -0.019310 Loss_D_fake 0.000213
[1680/5000][180/535][173422] Loss_D: -0.018738 Loss_G: 0.015051 Loss_D_real: -0.018880 Loss_D_fake -0.000142
[1680/5000][185/535][173423] Loss_D: -0.019678 Loss_G: 0.005479 Loss_D_real: -0.022756 Loss_D_fake -0.003078
[1680/5000][190/535][173424] Loss_D: -0.019735 Loss_G: 0.023815 Loss_D_real: -0.021175 Loss_D_fake -0.001440
[1680/5000][195/535][173425] Loss_D: -0.019443 Loss_G: 0.000189 Loss_D_real: -0.010254 Loss_D_fake 0.009189
[1680/5000][200/535][173426] Loss_D: -0.018113 Loss_G: 0.007182 Loss_D_real: -0.004138 Loss_D_fake 0.013976
[1680/5000][205/535][173427] Loss_D: -0.019859 Loss_G: 0.013093 Loss_D_real: -0.022061 Loss_D_fake -0.002202
[1680/5000][210/535][173428] Loss_D: -0.018773 Loss_G: -0.014064 Loss_D_real: -0.003885 Loss_D_fake 0.014887
[1680/5000][215/535][173429] Loss_D: -0.018088 Loss_G: 0.012603 Loss_D_real: -0.026556 Loss_D_fake -0.008468
[1680/5000][220/535][173430] Loss_D: -0.019709 Loss_G: -0.001038 Loss_D_real: -0.013073 Loss_D_fake 0.006636
[1680/5000][225/535][173431] Loss_D: -0.019456 Loss_G: 0.014807 Loss_D_real: -0.016559 Loss_D_fake 0.002897
[1680/5000][230/535][173432] Loss_D: -0.018375 Loss_G: 0.009966 Loss_D_real: -0.014792 Loss_D_fake 0.003582
[1680/5000][235/535][173433] Loss_D: -0.018803 Loss_G: 0.019627 Loss_D_real: -0.024831 Loss_D_fake -0.006028
[1680/5000][240/535][173434] Loss_D: -0.018757 Loss_G: 0.002335 Loss_D_real: -0.009803 Loss_D_fake 0.008953
[1680/5000][245/535][173435] Loss_D: -0.020733 Loss_G: -0.007343 Loss_D_real: -0.025819 Loss_D_fake -0.005086
[1680/5000][250/535][173436] Loss_D: -0.018883 Loss_G: 0.000189 Loss_D_real: -0.008023 Loss_D_fake 0.010860
[1680/5000][255/535][173437] Loss_D: -0.018391 Loss_G: -0.011057 Loss_D_real: -0.005794 Loss_D_fake 0.012597
[1680/5000][260/535][173438] Loss_D: -0.017631 Loss_G: 0.017320 Loss_D_real: -0.028160 Loss_D_fake -0.010529
[1680/5000][265/535][173439] Loss_D: -0.018379 Loss_G: 0.019846 Loss_D_real: -0.014238 Loss_D_fake 0.004141
[1680/5000][270/535][173440] Loss_D: -0.017559 Loss_G: 0.025713 Loss_D_real: -0.029494 Loss_D_fake -0.011934
[1680/5000][275/535][173441] Loss_D: -0.018001 Loss_G: 0.010929 Loss_D_real: -0.005572 Loss_D_fake 0.012428
[1680/5000][280/535][173442] Loss_D: -0.017469 Loss_G: 0.020268 Loss_D_real: -0.031346 Loss_D_fake -0.013877
[1680/5000][285/535][173443] Loss_D: -0.019188 Loss_G: -0.000418 Loss_D_real: -0.011746 Loss_D_fake 0.007442
[1680/5000][290/535][173444] Loss_D: -0.019129 Loss_G: -0.001362 Loss_D_real: -0.004949 Loss_D_fake 0.014180
[1680/5000][295/535][173445] Loss_D: -0.019114 Loss_G: -0.009010 Loss_D_real: -0.007837 Loss_D_fake 0.011277
[1680/5000][300/535][173446] Loss_D: -0.018557 Loss_G: 0.011349 Loss_D_real: -0.022864 Loss_D_fake -0.004307
[1680/5000][305/535][173447] Loss_D: -0.018765 Loss_G: 0.019184 Loss_D_real: -0.025590 Loss_D_fake -0.006825
[1680/5000][310/535][173448] Loss_D: -0.019815 Loss_G: 0.003103 Loss_D_real: -0.017953 Loss_D_fake 0.001862
[1680/5000][315/535][173449] Loss_D: -0.019152 Loss_G: 0.001378 Loss_D_real: -0.014672 Loss_D_fake 0.004480
[1680/5000][320/535][173450] Loss_D: -0.019637 Loss_G: 0.005221 Loss_D_real: -0.014628 Loss_D_fake 0.005010
[1680/5000][325/535][173451] Loss_D: -0.019822 Loss_G: 0.006792 Loss_D_real: -0.014322 Loss_D_fake 0.005500
[1680/5000][330/535][173452] Loss_D: -0.020388 Loss_G: 0.009152 Loss_D_real: -0.017627 Loss_D_fake 0.002761
[1680/5000][335/535][173453] Loss_D: -0.018968 Loss_G: 0.002358 Loss_D_real: -0.005707 Loss_D_fake 0.013261
[1680/5000][340/535][173454] Loss_D: -0.018349 Loss_G: 0.015148 Loss_D_real: -0.021155 Loss_D_fake -0.002806
[1680/5000][345/535][173455] Loss_D: -0.018368 Loss_G: 0.008667 Loss_D_real: -0.020448 Loss_D_fake -0.002079
[1680/5000][350/535][173456] Loss_D: -0.018392 Loss_G: -0.010361 Loss_D_real: -0.008207 Loss_D_fake 0.010185
[1680/5000][355/535][173457] Loss_D: -0.017690 Loss_G: -0.017274 Loss_D_real: -0.003993 Loss_D_fake 0.013696
[1680/5000][360/535][173458] Loss_D: -0.018111 Loss_G: 0.019623 Loss_D_real: -0.025076 Loss_D_fake -0.006965
[1680/5000][365/535][173459] Loss_D: -0.017848 Loss_G: 0.015065 Loss_D_real: -0.018529 Loss_D_fake -0.000681
[1680/5000][370/535][173460] Loss_D: -0.019135 Loss_G: 0.017600 Loss_D_real: -0.012609 Loss_D_fake 0.006526
[1680/5000][375/535][173461] Loss_D: -0.019376 Loss_G: -0.005252 Loss_D_real: -0.002978 Loss_D_fake 0.016398
[1680/5000][380/535][173462] Loss_D: -0.019061 Loss_G: 0.008613 Loss_D_real: -0.021836 Loss_D_fake -0.002775
[1680/5000][385/535][173463] Loss_D: -0.018118 Loss_G: 0.003033 Loss_D_real: -0.027109 Loss_D_fake -0.008991
[1680/5000][390/535][173464] Loss_D: -0.016932 Loss_G: 0.022421 Loss_D_real: -0.028683 Loss_D_fake -0.011751
[1680/5000][395/535][173465] Loss_D: -0.017882 Loss_G: 0.016128 Loss_D_real: -0.012462 Loss_D_fake 0.005420
[1680/5000][400/535][173466] Loss_D: -0.017941 Loss_G: -0.000265 Loss_D_real: -0.027234 Loss_D_fake -0.009293
[1680/5000][405/535][173467] Loss_D: -0.018644 Loss_G: 0.022721 Loss_D_real: -0.017158 Loss_D_fake 0.001486
[1680/5000][410/535][173468] Loss_D: -0.019690 Loss_G: 0.004071 Loss_D_real: -0.025034 Loss_D_fake -0.005344
[1680/5000][415/535][173469] Loss_D: -0.018634 Loss_G: 0.002952 Loss_D_real: -0.017667 Loss_D_fake 0.000968
[1680/5000][420/535][173470] Loss_D: -0.018435 Loss_G: 0.017952 Loss_D_real: -0.026048 Loss_D_fake -0.007614
[1680/5000][425/535][173471] Loss_D: -0.019698 Loss_G: -0.008620 Loss_D_real: -0.004549 Loss_D_fake 0.015149
[1680/5000][430/535][173472] Loss_D: -0.019568 Loss_G: 0.003294 Loss_D_real: -0.013135 Loss_D_fake 0.006432
[1680/5000][435/535][173473] Loss_D: -0.019888 Loss_G: 0.019252 Loss_D_real: -0.018087 Loss_D_fake 0.001801
[1680/5000][440/535][173474] Loss_D: -0.019498 Loss_G: -0.017219 Loss_D_real: -0.002515 Loss_D_fake 0.016982
[1680/5000][445/535][173475] Loss_D: -0.017572 Loss_G: 0.020074 Loss_D_real: -0.014926 Loss_D_fake 0.002646
[1680/5000][450/535][173476] Loss_D: -0.019303 Loss_G: 0.013221 Loss_D_real: -0.013150 Loss_D_fake 0.006153
[1680/5000][455/535][173477] Loss_D: -0.017642 Loss_G: -0.015265 Loss_D_real: 0.008565 Loss_D_fake 0.026207
[1680/5000][460/535][173478] Loss_D: -0.019044 Loss_G: 0.018489 Loss_D_real: -0.024450 Loss_D_fake -0.005406
[1680/5000][465/535][173479] Loss_D: -0.017198 Loss_G: 0.021388 Loss_D_real: -0.031015 Loss_D_fake -0.013817
[1680/5000][470/535][173480] Loss_D: -0.019958 Loss_G: -0.015041 Loss_D_real: -0.011414 Loss_D_fake 0.008544
[1680/5000][475/535][173481] Loss_D: -0.016590 Loss_G: 0.017826 Loss_D_real: -0.021604 Loss_D_fake -0.005014
[1680/5000][480/535][173482] Loss_D: -0.018969 Loss_G: 0.017238 Loss_D_real: -0.018541 Loss_D_fake 0.000428
[1680/5000][485/535][173483] Loss_D: -0.018171 Loss_G: 0.015221 Loss_D_real: -0.016315 Loss_D_fake 0.001856
[1680/5000][490/535][173484] Loss_D: -0.018149 Loss_G: 0.006988 Loss_D_real: -0.015982 Loss_D_fake 0.002167
[1680/5000][495/535][173485] Loss_D: -0.018775 Loss_G: -0.002948 Loss_D_real: -0.001750 Loss_D_fake 0.017025
[1680/5000][500/535][173486] Loss_D: -0.018018 Loss_G: 0.018398 Loss_D_real: -0.024602 Loss_D_fake -0.006584
[1680/5000][505/535][173487] Loss_D: -0.018069 Loss_G: 0.014959 Loss_D_real: -0.029945 Loss_D_fake -0.011876
[1680/5000][510/535][173488] Loss_D: -0.019671 Loss_G: 0.004429 Loss_D_real: 0.003383 Loss_D_fake 0.023054
[1680/5000][515/535][173489] Loss_D: -0.019955 Loss_G: 0.004317 Loss_D_real: -0.005672 Loss_D_fake 0.014283
[1680/5000][520/535][173490] Loss_D: -0.020100 Loss_G: 0.002409 Loss_D_real: -0.017680 Loss_D_fake 0.002420
[1680/5000][525/535][173491] Loss_D: -0.018949 Loss_G: 0.002853 Loss_D_real: 0.002002 Loss_D_fake 0.020952
[1680/5000][530/535][173492] Loss_D: -0.019430 Loss_G: 0.010792 Loss_D_real: -0.007584 Loss_D_fake 0.011846
[1680/5000][535/535][173493] Loss_D: -0.019746 Loss_G: 0.021328 Loss_D_real: -0.008604 Loss_D_fake 0.011142
[1681/5000][5/535][173494] Loss_D: -0.019182 Loss_G: -0.006622 Loss_D_real: -0.009027 Loss_D_fake 0.010155
[1681/5000][10/535][173495] Loss_D: -0.017042 Loss_G: -0.011631 Loss_D_real: 0.009968 Loss_D_fake 0.027010
[1681/5000][15/535][173496] Loss_D: -0.020169 Loss_G: 0.011475 Loss_D_real: -0.013591 Loss_D_fake 0.006578
[1681/5000][20/535][173497] Loss_D: -0.017689 Loss_G: -0.004498 Loss_D_real: 0.003331 Loss_D_fake 0.021019
[1681/5000][25/535][173498] Loss_D: -0.017204 Loss_G: 0.000247 Loss_D_real: -0.004813 Loss_D_fake 0.012391
[1681/5000][30/535][173499] Loss_D: -0.018689 Loss_G: 0.017515 Loss_D_real: -0.016438 Loss_D_fake 0.002250
[1681/5000][35/535][173500] Loss_D: -0.018586 Loss_G: 0.011807 Loss_D_real: -0.018936 Loss_D_fake -0.000350
[1681/5000][135/535][173501] Loss_D: -0.020946 Loss_G: 0.029503 Loss_D_real: -0.025122 Loss_D_fake -0.004176
[1681/5000][140/535][173502] Loss_D: -0.020441 Loss_G: 0.016455 Loss_D_real: -0.020585 Loss_D_fake -0.000145
[1681/5000][145/535][173503] Loss_D: -0.016646 Loss_G: 0.021757 Loss_D_real: -0.019182 Loss_D_fake -0.002536
[1681/5000][150/535][173504] Loss_D: -0.016025 Loss_G: 0.021878 Loss_D_real: -0.022513 Loss_D_fake -0.006488
[1681/5000][155/535][173505] Loss_D: -0.017977 Loss_G: 0.002858 Loss_D_real: -0.007435 Loss_D_fake 0.010542
[1681/5000][160/535][173506] Loss_D: -0.015736 Loss_G: 0.025190 Loss_D_real: -0.030975 Loss_D_fake -0.015239
[1681/5000][165/535][173507] Loss_D: -0.018237 Loss_G: 0.003303 Loss_D_real: -0.010757 Loss_D_fake 0.007480
[1681/5000][170/535][173508] Loss_D: -0.017329 Loss_G: 0.003720 Loss_D_real: -0.015053 Loss_D_fake 0.002276
[1681/5000][175/535][173509] Loss_D: -0.017877 Loss_G: 0.007098 Loss_D_real: -0.016880 Loss_D_fake 0.000997
[1681/5000][180/535][173510] Loss_D: -0.018062 Loss_G: -0.000515 Loss_D_real: -0.011601 Loss_D_fake 0.006460
[1681/5000][185/535][173511] Loss_D: -0.018504 Loss_G: 0.007242 Loss_D_real: -0.014973 Loss_D_fake 0.003531
[1681/5000][190/535][173512] Loss_D: -0.019525 Loss_G: 0.010997 Loss_D_real: -0.016845 Loss_D_fake 0.002680
[1681/5000][195/535][173513] Loss_D: -0.018856 Loss_G: -0.002183 Loss_D_real: -0.015068 Loss_D_fake 0.003789
[1681/5000][200/535][173514] Loss_D: -0.020475 Loss_G: 0.000442 Loss_D_real: 0.005342 Loss_D_fake 0.025817
[1681/5000][205/535][173515] Loss_D: -0.018020 Loss_G: 0.009543 Loss_D_real: -0.008100 Loss_D_fake 0.009920
[1681/5000][210/535][173516] Loss_D: -0.019322 Loss_G: 0.002887 Loss_D_real: -0.018218 Loss_D_fake 0.001103
[1681/5000][215/535][173517] Loss_D: -0.018605 Loss_G: 0.015865 Loss_D_real: -0.021978 Loss_D_fake -0.003373
[1681/5000][220/535][173518] Loss_D: -0.018601 Loss_G: -0.003718 Loss_D_real: -0.021084 Loss_D_fake -0.002483
[1681/5000][225/535][173519] Loss_D: -0.017941 Loss_G: -0.001943 Loss_D_real: -0.015403 Loss_D_fake 0.002539
[1681/5000][230/535][173520] Loss_D: -0.017943 Loss_G: 0.018701 Loss_D_real: -0.019178 Loss_D_fake -0.001235
[1681/5000][235/535][173521] Loss_D: -0.019096 Loss_G: -0.006717 Loss_D_real: -0.002143 Loss_D_fake 0.016953
[1681/5000][240/535][173522] Loss_D: -0.017476 Loss_G: 0.015730 Loss_D_real: -0.025266 Loss_D_fake -0.007790
[1681/5000][245/535][173523] Loss_D: -0.017615 Loss_G: -0.004079 Loss_D_real: -0.000765 Loss_D_fake 0.016850
[1681/5000][250/535][173524] Loss_D: -0.018062 Loss_G: -0.000260 Loss_D_real: -0.020667 Loss_D_fake -0.002605
[1681/5000][255/535][173525] Loss_D: -0.018441 Loss_G: 0.007952 Loss_D_real: -0.017763 Loss_D_fake 0.000678
[1681/5000][260/535][173526] Loss_D: -0.018113 Loss_G: 0.006940 Loss_D_real: -0.010544 Loss_D_fake 0.007569
[1681/5000][265/535][173527] Loss_D: -0.018599 Loss_G: 0.033653 Loss_D_real: -0.022597 Loss_D_fake -0.003999
[1681/5000][270/535][173528] Loss_D: -0.019156 Loss_G: -0.005471 Loss_D_real: -0.013439 Loss_D_fake 0.005717
[1681/5000][275/535][173529] Loss_D: -0.019534 Loss_G: -0.007106 Loss_D_real: -0.015809 Loss_D_fake 0.003725
[1681/5000][280/535][173530] Loss_D: -0.018343 Loss_G: 0.004647 Loss_D_real: -0.016232 Loss_D_fake 0.002111
[1681/5000][285/535][173531] Loss_D: -0.018614 Loss_G: 0.007491 Loss_D_real: -0.003608 Loss_D_fake 0.015006
[1681/5000][290/535][173532] Loss_D: -0.018664 Loss_G: 0.002847 Loss_D_real: -0.014289 Loss_D_fake 0.004375
[1681/5000][295/535][173533] Loss_D: -0.018750 Loss_G: 0.011246 Loss_D_real: -0.021697 Loss_D_fake -0.002947
[1681/5000][300/535][173534] Loss_D: -0.019317 Loss_G: 0.000888 Loss_D_real: -0.004843 Loss_D_fake 0.014474
[1681/5000][305/535][173535] Loss_D: -0.017091 Loss_G: 0.006451 Loss_D_real: -0.020187 Loss_D_fake -0.003096
[1681/5000][310/535][173536] Loss_D: -0.019178 Loss_G: 0.002071 Loss_D_real: -0.021701 Loss_D_fake -0.002523
[1681/5000][315/535][173537] Loss_D: -0.019613 Loss_G: -0.000449 Loss_D_real: -0.006792 Loss_D_fake 0.012821
[1681/5000][320/535][173538] Loss_D: -0.018639 Loss_G: 0.013383 Loss_D_real: -0.021794 Loss_D_fake -0.003156
[1681/5000][325/535][173539] Loss_D: -0.018710 Loss_G: 0.018149 Loss_D_real: -0.024946 Loss_D_fake -0.006235
[1681/5000][330/535][173540] Loss_D: -0.019114 Loss_G: -0.000166 Loss_D_real: -0.016930 Loss_D_fake 0.002184
[1681/5000][335/535][173541] Loss_D: -0.019344 Loss_G: 0.016410 Loss_D_real: -0.019861 Loss_D_fake -0.000516
[1681/5000][340/535][173542] Loss_D: -0.017917 Loss_G: 0.021467 Loss_D_real: -0.026299 Loss_D_fake -0.008383
[1681/5000][345/535][173543] Loss_D: -0.018278 Loss_G: 0.022378 Loss_D_real: -0.018362 Loss_D_fake -0.000083
[1681/5000][350/535][173544] Loss_D: -0.019476 Loss_G: 0.001305 Loss_D_real: -0.015621 Loss_D_fake 0.003854
[1681/5000][355/535][173545] Loss_D: -0.018291 Loss_G: -0.001523 Loss_D_real: -0.018309 Loss_D_fake -0.000018
[1681/5000][360/535][173546] Loss_D: -0.018404 Loss_G: 0.007066 Loss_D_real: -0.022686 Loss_D_fake -0.004283
[1681/5000][365/535][173547] Loss_D: -0.019772 Loss_G: -0.024250 Loss_D_real: -0.005549 Loss_D_fake 0.014223
[1681/5000][370/535][173548] Loss_D: -0.018201 Loss_G: -0.009307 Loss_D_real: -0.001709 Loss_D_fake 0.016493
[1681/5000][375/535][173549] Loss_D: -0.021023 Loss_G: 0.017049 Loss_D_real: -0.016366 Loss_D_fake 0.004658
[1681/5000][380/535][173550] Loss_D: -0.020082 Loss_G: -0.007465 Loss_D_real: -0.025875 Loss_D_fake -0.005794
[1681/5000][385/535][173551] Loss_D: -0.019300 Loss_G: 0.013111 Loss_D_real: -0.018299 Loss_D_fake 0.001001
[1681/5000][390/535][173552] Loss_D: -0.018327 Loss_G: 0.014879 Loss_D_real: -0.020464 Loss_D_fake -0.002137
[1681/5000][395/535][173553] Loss_D: -0.018929 Loss_G: -0.006122 Loss_D_real: 0.001607 Loss_D_fake 0.020537
[1681/5000][400/535][173554] Loss_D: -0.019511 Loss_G: 0.004057 Loss_D_real: -0.024521 Loss_D_fake -0.005010
[1681/5000][405/535][173555] Loss_D: -0.018207 Loss_G: 0.013755 Loss_D_real: -0.016226 Loss_D_fake 0.001980
[1681/5000][410/535][173556] Loss_D: -0.018831 Loss_G: 0.019005 Loss_D_real: -0.019641 Loss_D_fake -0.000810
[1681/5000][415/535][173557] Loss_D: -0.020822 Loss_G: 0.001159 Loss_D_real: -0.011886 Loss_D_fake 0.008936
[1681/5000][420/535][173558] Loss_D: -0.020187 Loss_G: 0.005917 Loss_D_real: -0.008311 Loss_D_fake 0.011875
[1681/5000][425/535][173559] Loss_D: -0.019246 Loss_G: 0.007088 Loss_D_real: -0.012869 Loss_D_fake 0.006377
[1681/5000][430/535][173560] Loss_D: -0.018311 Loss_G: 0.012113 Loss_D_real: -0.018630 Loss_D_fake -0.000319
[1681/5000][435/535][173561] Loss_D: -0.016425 Loss_G: 0.018023 Loss_D_real: -0.016325 Loss_D_fake 0.000101
[1681/5000][440/535][173562] Loss_D: -0.018463 Loss_G: -0.002916 Loss_D_real: -0.014423 Loss_D_fake 0.004039
[1681/5000][445/535][173563] Loss_D: -0.019863 Loss_G: -0.001405 Loss_D_real: -0.011014 Loss_D_fake 0.008848
[1681/5000][450/535][173564] Loss_D: -0.018425 Loss_G: -0.001343 Loss_D_real: -0.003600 Loss_D_fake 0.014825
[1681/5000][455/535][173565] Loss_D: -0.019951 Loss_G: -0.006581 Loss_D_real: -0.005583 Loss_D_fake 0.014368
[1681/5000][460/535][173566] Loss_D: -0.019196 Loss_G: -0.003025 Loss_D_real: -0.007086 Loss_D_fake 0.012110
[1681/5000][465/535][173567] Loss_D: -0.019850 Loss_G: 0.009529 Loss_D_real: -0.005158 Loss_D_fake 0.014692
[1681/5000][470/535][173568] Loss_D: -0.017714 Loss_G: 0.003086 Loss_D_real: -0.014999 Loss_D_fake 0.002715
[1681/5000][475/535][173569] Loss_D: -0.018626 Loss_G: 0.009431 Loss_D_real: -0.021261 Loss_D_fake -0.002635
[1681/5000][480/535][173570] Loss_D: -0.018999 Loss_G: 0.023226 Loss_D_real: -0.014552 Loss_D_fake 0.004447
[1681/5000][485/535][173571] Loss_D: -0.018245 Loss_G: 0.006559 Loss_D_real: -0.002616 Loss_D_fake 0.015630
[1681/5000][490/535][173572] Loss_D: -0.017725 Loss_G: 0.020404 Loss_D_real: -0.020010 Loss_D_fake -0.002286
[1681/5000][495/535][173573] Loss_D: -0.017313 Loss_G: -0.006672 Loss_D_real: 0.008264 Loss_D_fake 0.025577
[1681/5000][500/535][173574] Loss_D: -0.019282 Loss_G: 0.023361 Loss_D_real: -0.021280 Loss_D_fake -0.001998
[1681/5000][505/535][173575] Loss_D: -0.018334 Loss_G: -0.011743 Loss_D_real: -0.006886 Loss_D_fake 0.011448
[1681/5000][510/535][173576] Loss_D: -0.019769 Loss_G: 0.013744 Loss_D_real: -0.016505 Loss_D_fake 0.003265
[1681/5000][515/535][173577] Loss_D: -0.018754 Loss_G: -0.017550 Loss_D_real: -0.003217 Loss_D_fake 0.015537
[1681/5000][520/535][173578] Loss_D: -0.018606 Loss_G: 0.022684 Loss_D_real: -0.040222 Loss_D_fake -0.021616
[1681/5000][525/535][173579] Loss_D: -0.018878 Loss_G: -0.007500 Loss_D_real: -0.009922 Loss_D_fake 0.008956
[1681/5000][530/535][173580] Loss_D: -0.019618 Loss_G: -0.000107 Loss_D_real: -0.004422 Loss_D_fake 0.015196
[1681/5000][535/535][173581] Loss_D: -0.019430 Loss_G: -0.008781 Loss_D_real: -0.011152 Loss_D_fake 0.008278
[1682/5000][5/535][173582] Loss_D: -0.019237 Loss_G: 0.013755 Loss_D_real: -0.008983 Loss_D_fake 0.010255
[1682/5000][10/535][173583] Loss_D: -0.014642 Loss_G: 0.015848 Loss_D_real: -0.008041 Loss_D_fake 0.006601
[1682/5000][15/535][173584] Loss_D: -0.018026 Loss_G: 0.008925 Loss_D_real: -0.017466 Loss_D_fake 0.000560
[1682/5000][20/535][173585] Loss_D: -0.019147 Loss_G: 0.017430 Loss_D_real: -0.021997 Loss_D_fake -0.002850
[1682/5000][25/535][173586] Loss_D: -0.018461 Loss_G: 0.010075 Loss_D_real: -0.017909 Loss_D_fake 0.000552
[1682/5000][30/535][173587] Loss_D: -0.018296 Loss_G: 0.011980 Loss_D_real: -0.015399 Loss_D_fake 0.002897
[1682/5000][35/535][173588] Loss_D: -0.017973 Loss_G: -0.005280 Loss_D_real: -0.008679 Loss_D_fake 0.009294
[1682/5000][40/535][173589] Loss_D: -0.017124 Loss_G: 0.007605 Loss_D_real: -0.020769 Loss_D_fake -0.003645
[1682/5000][45/535][173590] Loss_D: -0.017540 Loss_G: 0.001891 Loss_D_real: -0.013155 Loss_D_fake 0.004385
[1682/5000][50/535][173591] Loss_D: -0.018112 Loss_G: 0.014863 Loss_D_real: -0.020058 Loss_D_fake -0.001946
[1682/5000][55/535][173592] Loss_D: -0.019217 Loss_G: 0.003787 Loss_D_real: -0.008240 Loss_D_fake 0.010977
[1682/5000][60/535][173593] Loss_D: -0.018518 Loss_G: -0.000396 Loss_D_real: -0.011186 Loss_D_fake 0.007332
[1682/5000][65/535][173594] Loss_D: -0.019053 Loss_G: 0.001922 Loss_D_real: -0.015506 Loss_D_fake 0.003546
[1682/5000][70/535][173595] Loss_D: -0.018151 Loss_G: -0.002979 Loss_D_real: 0.002885 Loss_D_fake 0.021036
[1682/5000][75/535][173596] Loss_D: -0.018135 Loss_G: -0.005755 Loss_D_real: -0.008230 Loss_D_fake 0.009906
[1682/5000][80/535][173597] Loss_D: -0.018395 Loss_G: 0.006764 Loss_D_real: -0.023056 Loss_D_fake -0.004661
[1682/5000][85/535][173598] Loss_D: -0.020048 Loss_G: 0.005932 Loss_D_real: -0.012377 Loss_D_fake 0.007670
[1682/5000][90/535][173599] Loss_D: -0.018770 Loss_G: -0.021154 Loss_D_real: 0.001173 Loss_D_fake 0.019943
[1682/5000][95/535][173600] Loss_D: -0.018288 Loss_G: 0.016614 Loss_D_real: -0.032298 Loss_D_fake -0.014010
[1682/5000][100/535][173601] Loss_D: -0.020274 Loss_G: 0.004694 Loss_D_real: -0.004869 Loss_D_fake 0.015404
[1682/5000][105/535][173602] Loss_D: -0.018289 Loss_G: -0.013571 Loss_D_real: -0.000265 Loss_D_fake 0.018024
[1682/5000][110/535][173603] Loss_D: -0.018286 Loss_G: 0.015330 Loss_D_real: -0.016114 Loss_D_fake 0.002172
[1682/5000][115/535][173604] Loss_D: -0.019116 Loss_G: 0.023902 Loss_D_real: -0.015140 Loss_D_fake 0.003975
[1682/5000][120/535][173605] Loss_D: -0.018735 Loss_G: 0.015633 Loss_D_real: -0.008954 Loss_D_fake 0.009781
[1682/5000][125/535][173606] Loss_D: -0.018428 Loss_G: 0.019904 Loss_D_real: -0.016996 Loss_D_fake 0.001431
[1682/5000][130/535][173607] Loss_D: -0.019427 Loss_G: 0.024931 Loss_D_real: -0.015640 Loss_D_fake 0.003787
[1682/5000][135/535][173608] Loss_D: -0.018561 Loss_G: -0.001367 Loss_D_real: -0.014353 Loss_D_fake 0.004208
[1682/5000][140/535][173609] Loss_D: -0.017895 Loss_G: 0.011945 Loss_D_real: -0.023508 Loss_D_fake -0.005613
[1682/5000][145/535][173610] Loss_D: -0.018873 Loss_G: -0.011003 Loss_D_real: -0.009505 Loss_D_fake 0.009368
[1682/5000][150/535][173611] Loss_D: -0.018406 Loss_G: 0.003851 Loss_D_real: -0.017317 Loss_D_fake 0.001089
[1682/5000][155/535][173612] Loss_D: -0.019465 Loss_G: 0.010891 Loss_D_real: -0.010545 Loss_D_fake 0.008921
[1682/5000][160/535][173613] Loss_D: -0.017577 Loss_G: 0.012981 Loss_D_real: -0.027066 Loss_D_fake -0.009489
[1682/5000][165/535][173614] Loss_D: -0.017904 Loss_G: 0.005357 Loss_D_real: -0.012674 Loss_D_fake 0.005230
[1682/5000][170/535][173615] Loss_D: -0.018816 Loss_G: -0.002235 Loss_D_real: -0.013407 Loss_D_fake 0.005409
[1682/5000][175/535][173616] Loss_D: -0.018114 Loss_G: 0.006507 Loss_D_real: -0.026701 Loss_D_fake -0.008586
[1682/5000][180/535][173617] Loss_D: -0.018358 Loss_G: -0.009298 Loss_D_real: -0.007825 Loss_D_fake 0.010533
[1682/5000][185/535][173618] Loss_D: -0.017232 Loss_G: -0.002144 Loss_D_real: -0.005404 Loss_D_fake 0.011829
[1682/5000][190/535][173619] Loss_D: -0.017536 Loss_G: -0.005811 Loss_D_real: -0.001465 Loss_D_fake 0.016071
[1682/5000][195/535][173620] Loss_D: -0.018649 Loss_G: -0.003043 Loss_D_real: -0.009684 Loss_D_fake 0.008964
[1682/5000][200/535][173621] Loss_D: -0.017722 Loss_G: 0.001378 Loss_D_real: -0.015861 Loss_D_fake 0.001861
[1682/5000][205/535][173622] Loss_D: -0.018647 Loss_G: 0.011283 Loss_D_real: -0.012778 Loss_D_fake 0.005869
[1682/5000][210/535][173623] Loss_D: -0.018594 Loss_G: 0.002043 Loss_D_real: -0.004862 Loss_D_fake 0.013732
[1682/5000][215/535][173624] Loss_D: -0.018878 Loss_G: 0.011373 Loss_D_real: -0.025694 Loss_D_fake -0.006816
[1682/5000][220/535][173625] Loss_D: -0.017472 Loss_G: -0.024540 Loss_D_real: 0.009751 Loss_D_fake 0.027223
[1682/5000][225/535][173626] Loss_D: -0.017614 Loss_G: -0.008819 Loss_D_real: -0.000343 Loss_D_fake 0.017271
[1682/5000][230/535][173627] Loss_D: -0.019425 Loss_G: -0.004918 Loss_D_real: -0.012185 Loss_D_fake 0.007240
[1682/5000][235/535][173628] Loss_D: -0.019837 Loss_G: 0.029068 Loss_D_real: -0.023782 Loss_D_fake -0.003945
[1682/5000][240/535][173629] Loss_D: -0.018440 Loss_G: 0.010182 Loss_D_real: -0.006073 Loss_D_fake 0.012367
[1682/5000][245/535][173630] Loss_D: -0.017618 Loss_G: 0.018834 Loss_D_real: -0.031984 Loss_D_fake -0.014366
[1682/5000][250/535][173631] Loss_D: -0.018752 Loss_G: 0.027324 Loss_D_real: -0.026648 Loss_D_fake -0.007896
[1682/5000][255/535][173632] Loss_D: -0.019079 Loss_G: 0.015211 Loss_D_real: -0.021293 Loss_D_fake -0.002215
[1682/5000][260/535][173633] Loss_D: -0.019078 Loss_G: 0.010808 Loss_D_real: -0.005892 Loss_D_fake 0.013186
[1682/5000][265/535][173634] Loss_D: -0.019031 Loss_G: 0.008458 Loss_D_real: -0.006904 Loss_D_fake 0.012127
[1682/5000][270/535][173635] Loss_D: -0.020102 Loss_G: 0.009532 Loss_D_real: -0.025932 Loss_D_fake -0.005830
[1682/5000][275/535][173636] Loss_D: -0.019777 Loss_G: 0.013318 Loss_D_real: -0.011518 Loss_D_fake 0.008260
[1682/5000][280/535][173637] Loss_D: -0.019260 Loss_G: -0.005126 Loss_D_real: -0.016365 Loss_D_fake 0.002895
[1682/5000][285/535][173638] Loss_D: -0.019362 Loss_G: 0.018906 Loss_D_real: -0.024085 Loss_D_fake -0.004723
[1682/5000][290/535][173639] Loss_D: -0.020255 Loss_G: -0.003434 Loss_D_real: -0.017187 Loss_D_fake 0.003068
[1682/5000][295/535][173640] Loss_D: -0.018431 Loss_G: 0.001673 Loss_D_real: -0.010788 Loss_D_fake 0.007643
[1682/5000][300/535][173641] Loss_D: -0.018099 Loss_G: -0.009259 Loss_D_real: -0.010495 Loss_D_fake 0.007604
[1682/5000][305/535][173642] Loss_D: -0.019237 Loss_G: 0.007818 Loss_D_real: -0.008649 Loss_D_fake 0.010589
[1682/5000][310/535][173643] Loss_D: -0.019515 Loss_G: 0.016691 Loss_D_real: -0.025751 Loss_D_fake -0.006236
[1682/5000][315/535][173644] Loss_D: -0.019549 Loss_G: 0.011088 Loss_D_real: -0.016420 Loss_D_fake 0.003129
[1682/5000][320/535][173645] Loss_D: -0.019694 Loss_G: 0.011994 Loss_D_real: -0.020401 Loss_D_fake -0.000706
[1682/5000][325/535][173646] Loss_D: -0.019179 Loss_G: 0.018259 Loss_D_real: -0.022141 Loss_D_fake -0.002961
[1682/5000][330/535][173647] Loss_D: -0.018077 Loss_G: -0.015429 Loss_D_real: -0.001807 Loss_D_fake 0.016269
[1682/5000][335/535][173648] Loss_D: -0.015627 Loss_G: 0.017931 Loss_D_real: -0.013098 Loss_D_fake 0.002529
[1682/5000][340/535][173649] Loss_D: -0.019025 Loss_G: 0.014597 Loss_D_real: -0.007580 Loss_D_fake 0.011445
[1682/5000][345/535][173650] Loss_D: -0.018686 Loss_G: 0.012155 Loss_D_real: -0.009611 Loss_D_fake 0.009076
[1682/5000][350/535][173651] Loss_D: -0.019202 Loss_G: -0.002761 Loss_D_real: -0.016092 Loss_D_fake 0.003109
[1682/5000][355/535][173652] Loss_D: -0.018360 Loss_G: 0.005950 Loss_D_real: -0.013963 Loss_D_fake 0.004397
[1682/5000][360/535][173653] Loss_D: -0.017136 Loss_G: -0.000641 Loss_D_real: 0.001228 Loss_D_fake 0.018364
[1682/5000][365/535][173654] Loss_D: -0.019189 Loss_G: 0.014106 Loss_D_real: -0.018954 Loss_D_fake 0.000236
[1682/5000][370/535][173655] Loss_D: -0.019063 Loss_G: -0.000503 Loss_D_real: -0.013089 Loss_D_fake 0.005973
[1682/5000][375/535][173656] Loss_D: -0.019409 Loss_G: -0.000628 Loss_D_real: -0.002122 Loss_D_fake 0.017287
[1682/5000][380/535][173657] Loss_D: -0.019466 Loss_G: 0.004001 Loss_D_real: -0.012617 Loss_D_fake 0.006849
[1682/5000][385/535][173658] Loss_D: -0.018625 Loss_G: 0.011067 Loss_D_real: -0.009740 Loss_D_fake 0.008884
[1682/5000][390/535][173659] Loss_D: -0.018073 Loss_G: 0.007960 Loss_D_real: -0.013342 Loss_D_fake 0.004732
[1682/5000][395/535][173660] Loss_D: -0.018598 Loss_G: 0.007827 Loss_D_real: -0.019089 Loss_D_fake -0.000491
[1682/5000][400/535][173661] Loss_D: -0.017228 Loss_G: 0.029507 Loss_D_real: -0.023556 Loss_D_fake -0.006327
[1682/5000][405/535][173662] Loss_D: -0.018980 Loss_G: 0.007677 Loss_D_real: -0.018928 Loss_D_fake 0.000052
[1682/5000][410/535][173663] Loss_D: -0.018457 Loss_G: -0.000036 Loss_D_real: -0.012096 Loss_D_fake 0.006360
[1682/5000][415/535][173664] Loss_D: -0.017061 Loss_G: 0.019589 Loss_D_real: -0.019064 Loss_D_fake -0.002003
[1682/5000][420/535][173665] Loss_D: -0.018269 Loss_G: 0.004012 Loss_D_real: -0.027145 Loss_D_fake -0.008877
[1682/5000][425/535][173666] Loss_D: -0.020232 Loss_G: 0.015980 Loss_D_real: -0.017559 Loss_D_fake 0.002673
[1682/5000][430/535][173667] Loss_D: -0.018374 Loss_G: -0.013184 Loss_D_real: -0.005751 Loss_D_fake 0.012623
[1682/5000][435/535][173668] Loss_D: -0.018897 Loss_G: 0.021945 Loss_D_real: -0.028974 Loss_D_fake -0.010077
[1682/5000][440/535][173669] Loss_D: -0.020926 Loss_G: 0.006345 Loss_D_real: -0.017570 Loss_D_fake 0.003356
[1682/5000][445/535][173670] Loss_D: -0.020595 Loss_G: -0.005138 Loss_D_real: -0.007170 Loss_D_fake 0.013425
[1682/5000][450/535][173671] Loss_D: -0.016661 Loss_G: 0.008211 Loss_D_real: -0.015337 Loss_D_fake 0.001324
[1682/5000][455/535][173672] Loss_D: -0.018656 Loss_G: 0.026125 Loss_D_real: -0.023064 Loss_D_fake -0.004408
[1682/5000][460/535][173673] Loss_D: -0.018759 Loss_G: 0.000965 Loss_D_real: -0.008945 Loss_D_fake 0.009814
[1682/5000][465/535][173674] Loss_D: -0.019787 Loss_G: -0.011141 Loss_D_real: -0.008418 Loss_D_fake 0.011369
[1682/5000][470/535][173675] Loss_D: -0.018518 Loss_G: 0.006257 Loss_D_real: -0.013830 Loss_D_fake 0.004689
[1682/5000][475/535][173676] Loss_D: -0.017573 Loss_G: 0.016367 Loss_D_real: -0.020066 Loss_D_fake -0.002493
[1682/5000][480/535][173677] Loss_D: -0.017580 Loss_G: 0.005148 Loss_D_real: -0.007263 Loss_D_fake 0.010317
[1682/5000][485/535][173678] Loss_D: -0.017572 Loss_G: 0.014098 Loss_D_real: -0.019467 Loss_D_fake -0.001895
[1682/5000][490/535][173679] Loss_D: -0.019639 Loss_G: -0.007490 Loss_D_real: -0.025159 Loss_D_fake -0.005520
[1682/5000][495/535][173680] Loss_D: -0.019234 Loss_G: 0.003084 Loss_D_real: 0.004884 Loss_D_fake 0.024118
[1682/5000][500/535][173681] Loss_D: -0.019169 Loss_G: 0.026818 Loss_D_real: -0.023411 Loss_D_fake -0.004242
[1682/5000][505/535][173682] Loss_D: -0.018368 Loss_G: 0.014301 Loss_D_real: -0.019838 Loss_D_fake -0.001470
[1682/5000][510/535][173683] Loss_D: -0.018990 Loss_G: 0.017821 Loss_D_real: -0.014921 Loss_D_fake 0.004070
[1682/5000][515/535][173684] Loss_D: -0.017533 Loss_G: 0.019700 Loss_D_real: -0.028645 Loss_D_fake -0.011112
[1682/5000][520/535][173685] Loss_D: -0.020418 Loss_G: 0.007935 Loss_D_real: -0.025155 Loss_D_fake -0.004737
[1682/5000][525/535][173686] Loss_D: -0.020343 Loss_G: 0.010384 Loss_D_real: -0.027128 Loss_D_fake -0.006785
[1682/5000][530/535][173687] Loss_D: -0.019833 Loss_G: -0.000560 Loss_D_real: -0.006836 Loss_D_fake 0.012996
[1682/5000][535/535][173688] Loss_D: -0.016649 Loss_G: -0.018925 Loss_D_real: -0.000055 Loss_D_fake 0.016594
[1683/5000][5/535][173689] Loss_D: -0.018428 Loss_G: 0.023957 Loss_D_real: -0.023740 Loss_D_fake -0.005311
[1683/5000][10/535][173690] Loss_D: -0.018015 Loss_G: 0.003052 Loss_D_real: -0.012270 Loss_D_fake 0.005744
[1683/5000][15/535][173691] Loss_D: -0.019336 Loss_G: 0.021438 Loss_D_real: -0.033189 Loss_D_fake -0.013854
[1683/5000][20/535][173692] Loss_D: -0.018197 Loss_G: 0.009416 Loss_D_real: -0.020357 Loss_D_fake -0.002160
[1683/5000][25/535][173693] Loss_D: -0.018021 Loss_G: -0.018375 Loss_D_real: -0.001050 Loss_D_fake 0.016971
[1683/5000][30/535][173694] Loss_D: -0.018826 Loss_G: -0.006743 Loss_D_real: -0.020071 Loss_D_fake -0.001245
[1683/5000][35/535][173695] Loss_D: -0.018815 Loss_G: 0.018473 Loss_D_real: -0.022121 Loss_D_fake -0.003306
[1683/5000][40/535][173696] Loss_D: -0.018669 Loss_G: 0.006024 Loss_D_real: -0.021156 Loss_D_fake -0.002487
[1683/5000][45/535][173697] Loss_D: -0.019255 Loss_G: 0.014324 Loss_D_real: -0.022462 Loss_D_fake -0.003207
[1683/5000][50/535][173698] Loss_D: -0.017797 Loss_G: 0.010864 Loss_D_real: -0.018623 Loss_D_fake -0.000826
[1683/5000][55/535][173699] Loss_D: -0.017324 Loss_G: 0.032901 Loss_D_real: -0.024976 Loss_D_fake -0.007652
[1683/5000][60/535][173700] Loss_D: -0.018219 Loss_G: 0.011003 Loss_D_real: -0.013707 Loss_D_fake 0.004512
[1683/5000][65/535][173701] Loss_D: -0.018202 Loss_G: -0.002377 Loss_D_real: -0.004557 Loss_D_fake 0.013645
[1683/5000][70/535][173702] Loss_D: -0.017983 Loss_G: 0.014194 Loss_D_real: -0.018806 Loss_D_fake -0.000823
[1683/5000][75/535][173703] Loss_D: -0.016903 Loss_G: -0.010387 Loss_D_real: -0.010869 Loss_D_fake 0.006034
[1683/5000][80/535][173704] Loss_D: -0.017527 Loss_G: 0.030934 Loss_D_real: -0.030560 Loss_D_fake -0.013033
[1683/5000][85/535][173705] Loss_D: -0.017598 Loss_G: 0.003677 Loss_D_real: -0.024207 Loss_D_fake -0.006609
[1683/5000][90/535][173706] Loss_D: -0.019638 Loss_G: -0.000282 Loss_D_real: -0.016291 Loss_D_fake 0.003347
[1683/5000][95/535][173707] Loss_D: -0.018790 Loss_G: -0.001767 Loss_D_real: -0.017137 Loss_D_fake 0.001654
[1683/5000][100/535][173708] Loss_D: -0.016893 Loss_G: -0.000067 Loss_D_real: -0.027477 Loss_D_fake -0.010584
[1683/5000][105/535][173709] Loss_D: -0.018054 Loss_G: 0.023531 Loss_D_real: -0.030446 Loss_D_fake -0.012392
[1683/5000][110/535][173710] Loss_D: -0.018802 Loss_G: -0.002615 Loss_D_real: -0.006368 Loss_D_fake 0.012434
[1683/5000][115/535][173711] Loss_D: -0.019110 Loss_G: 0.008578 Loss_D_real: -0.013180 Loss_D_fake 0.005930
[1683/5000][120/535][173712] Loss_D: -0.019472 Loss_G: 0.013145 Loss_D_real: -0.019668 Loss_D_fake -0.000197
[1683/5000][125/535][173713] Loss_D: -0.018866 Loss_G: -0.005315 Loss_D_real: -0.007691 Loss_D_fake 0.011175
[1683/5000][130/535][173714] Loss_D: -0.019153 Loss_G: 0.008919 Loss_D_real: -0.009540 Loss_D_fake 0.009613
[1683/5000][135/535][173715] Loss_D: -0.018307 Loss_G: 0.022167 Loss_D_real: -0.026196 Loss_D_fake -0.007888
[1683/5000][140/535][173716] Loss_D: -0.019816 Loss_G: 0.009955 Loss_D_real: -0.004063 Loss_D_fake 0.015753
[1683/5000][145/535][173717] Loss_D: -0.019308 Loss_G: -0.001399 Loss_D_real: -0.004546 Loss_D_fake 0.014762
[1683/5000][150/535][173718] Loss_D: -0.018868 Loss_G: 0.009685 Loss_D_real: -0.014444 Loss_D_fake 0.004424
[1683/5000][155/535][173719] Loss_D: -0.019191 Loss_G: 0.023693 Loss_D_real: -0.022355 Loss_D_fake -0.003164
[1683/5000][160/535][173720] Loss_D: -0.019483 Loss_G: 0.021409 Loss_D_real: -0.027807 Loss_D_fake -0.008324
[1683/5000][165/535][173721] Loss_D: -0.018679 Loss_G: 0.011824 Loss_D_real: -0.013691 Loss_D_fake 0.004988
[1683/5000][170/535][173722] Loss_D: -0.018341 Loss_G: 0.009702 Loss_D_real: -0.021366 Loss_D_fake -0.003025
[1683/5000][175/535][173723] Loss_D: -0.019279 Loss_G: -0.002497 Loss_D_real: -0.014494 Loss_D_fake 0.004784
[1683/5000][180/535][173724] Loss_D: -0.018050 Loss_G: 0.026021 Loss_D_real: -0.024896 Loss_D_fake -0.006847
[1683/5000][185/535][173725] Loss_D: -0.018827 Loss_G: 0.000773 Loss_D_real: -0.003672 Loss_D_fake 0.015155
[1683/5000][190/535][173726] Loss_D: -0.018926 Loss_G: -0.004088 Loss_D_real: -0.007540 Loss_D_fake 0.011386
[1683/5000][195/535][173727] Loss_D: -0.017119 Loss_G: 0.020244 Loss_D_real: -0.025147 Loss_D_fake -0.008027
[1683/5000][200/535][173728] Loss_D: -0.018276 Loss_G: -0.005737 Loss_D_real: -0.016784 Loss_D_fake 0.001492
[1683/5000][205/535][173729] Loss_D: -0.018975 Loss_G: 0.000990 Loss_D_real: -0.018978 Loss_D_fake -0.000002
[1683/5000][210/535][173730] Loss_D: -0.017721 Loss_G: 0.017940 Loss_D_real: -0.028101 Loss_D_fake -0.010380
[1683/5000][215/535][173731] Loss_D: -0.018545 Loss_G: -0.005124 Loss_D_real: -0.012052 Loss_D_fake 0.006493
[1683/5000][220/535][173732] Loss_D: -0.017440 Loss_G: 0.001856 Loss_D_real: -0.005956 Loss_D_fake 0.011484
[1683/5000][225/535][173733] Loss_D: -0.017906 Loss_G: 0.014952 Loss_D_real: -0.020554 Loss_D_fake -0.002648
[1683/5000][230/535][173734] Loss_D: -0.019140 Loss_G: 0.007218 Loss_D_real: -0.011706 Loss_D_fake 0.007434
[1683/5000][235/535][173735] Loss_D: -0.017042 Loss_G: 0.022068 Loss_D_real: -0.017941 Loss_D_fake -0.000899
[1683/5000][240/535][173736] Loss_D: -0.019320 Loss_G: -0.002989 Loss_D_real: -0.007830 Loss_D_fake 0.011490
[1683/5000][245/535][173737] Loss_D: -0.018860 Loss_G: 0.003233 Loss_D_real: -0.004456 Loss_D_fake 0.014403
[1683/5000][250/535][173738] Loss_D: -0.017973 Loss_G: 0.010496 Loss_D_real: -0.024014 Loss_D_fake -0.006041
[1683/5000][255/535][173739] Loss_D: -0.019124 Loss_G: 0.001303 Loss_D_real: -0.014271 Loss_D_fake 0.004853
[1683/5000][260/535][173740] Loss_D: -0.019235 Loss_G: -0.003449 Loss_D_real: -0.006459 Loss_D_fake 0.012776
[1683/5000][265/535][173741] Loss_D: -0.017865 Loss_G: 0.028030 Loss_D_real: -0.023825 Loss_D_fake -0.005960
[1683/5000][270/535][173742] Loss_D: -0.018403 Loss_G: 0.006448 Loss_D_real: -0.017034 Loss_D_fake 0.001368
[1683/5000][275/535][173743] Loss_D: -0.018130 Loss_G: 0.024393 Loss_D_real: -0.023191 Loss_D_fake -0.005060
[1683/5000][280/535][173744] Loss_D: -0.020323 Loss_G: 0.001384 Loss_D_real: -0.008059 Loss_D_fake 0.012264
[1683/5000][285/535][173745] Loss_D: -0.018119 Loss_G: 0.022190 Loss_D_real: -0.030897 Loss_D_fake -0.012778
[1683/5000][290/535][173746] Loss_D: -0.018387 Loss_G: -0.017310 Loss_D_real: -0.003915 Loss_D_fake 0.014472
[1683/5000][295/535][173747] Loss_D: -0.017764 Loss_G: -0.006780 Loss_D_real: -0.007056 Loss_D_fake 0.010708
[1683/5000][300/535][173748] Loss_D: -0.019535 Loss_G: -0.007174 Loss_D_real: -0.027080 Loss_D_fake -0.007545
[1683/5000][305/535][173749] Loss_D: -0.020466 Loss_G: 0.026408 Loss_D_real: -0.018676 Loss_D_fake 0.001790
[1683/5000][310/535][173750] Loss_D: -0.018556 Loss_G: 0.011690 Loss_D_real: -0.015155 Loss_D_fake 0.003401
[1683/5000][315/535][173751] Loss_D: -0.019485 Loss_G: 0.013522 Loss_D_real: -0.023818 Loss_D_fake -0.004333
[1683/5000][320/535][173752] Loss_D: -0.019064 Loss_G: 0.010344 Loss_D_real: -0.023893 Loss_D_fake -0.004829
[1683/5000][325/535][173753] Loss_D: -0.018948 Loss_G: 0.020653 Loss_D_real: -0.010701 Loss_D_fake 0.008247
[1683/5000][330/535][173754] Loss_D: -0.018781 Loss_G: 0.025944 Loss_D_real: -0.020107 Loss_D_fake -0.001326
[1683/5000][335/535][173755] Loss_D: -0.019837 Loss_G: 0.003218 Loss_D_real: -0.013410 Loss_D_fake 0.006427
[1683/5000][340/535][173756] Loss_D: -0.018313 Loss_G: 0.015712 Loss_D_real: -0.023353 Loss_D_fake -0.005041
[1683/5000][345/535][173757] Loss_D: -0.019546 Loss_G: 0.016934 Loss_D_real: -0.022825 Loss_D_fake -0.003279
[1683/5000][350/535][173758] Loss_D: -0.018602 Loss_G: 0.000369 Loss_D_real: 0.000295 Loss_D_fake 0.018897
[1683/5000][355/535][173759] Loss_D: -0.018321 Loss_G: 0.012330 Loss_D_real: -0.028017 Loss_D_fake -0.009696
[1683/5000][360/535][173760] Loss_D: -0.018627 Loss_G: 0.000110 Loss_D_real: -0.017304 Loss_D_fake 0.001323
[1683/5000][365/535][173761] Loss_D: -0.018074 Loss_G: 0.012410 Loss_D_real: -0.019977 Loss_D_fake -0.001903
[1683/5000][370/535][173762] Loss_D: -0.018600 Loss_G: 0.019303 Loss_D_real: -0.017647 Loss_D_fake 0.000953
[1683/5000][375/535][173763] Loss_D: -0.020184 Loss_G: -0.013730 Loss_D_real: -0.001605 Loss_D_fake 0.018579
[1683/5000][380/535][173764] Loss_D: -0.016003 Loss_G: 0.000676 Loss_D_real: -0.001688 Loss_D_fake 0.014315
[1683/5000][385/535][173765] Loss_D: -0.016827 Loss_G: 0.029424 Loss_D_real: -0.033372 Loss_D_fake -0.016545
[1683/5000][390/535][173766] Loss_D: -0.018566 Loss_G: 0.020584 Loss_D_real: -0.040822 Loss_D_fake -0.022257
[1683/5000][395/535][173767] Loss_D: -0.018406 Loss_G: -0.006390 Loss_D_real: -0.003726 Loss_D_fake 0.014679
[1683/5000][400/535][173768] Loss_D: -0.019686 Loss_G: 0.013706 Loss_D_real: -0.018633 Loss_D_fake 0.001053
[1683/5000][405/535][173769] Loss_D: -0.019140 Loss_G: 0.013738 Loss_D_real: -0.006600 Loss_D_fake 0.012540
[1683/5000][410/535][173770] Loss_D: -0.019381 Loss_G: 0.007770 Loss_D_real: -0.004151 Loss_D_fake 0.015230
[1683/5000][415/535][173771] Loss_D: -0.017373 Loss_G: -0.013607 Loss_D_real: -0.004940 Loss_D_fake 0.012433
[1683/5000][420/535][173772] Loss_D: -0.018138 Loss_G: 0.026938 Loss_D_real: -0.025368 Loss_D_fake -0.007230
[1683/5000][425/535][173773] Loss_D: -0.019323 Loss_G: 0.001284 Loss_D_real: -0.020331 Loss_D_fake -0.001008
[1683/5000][430/535][173774] Loss_D: -0.018755 Loss_G: 0.023541 Loss_D_real: -0.023219 Loss_D_fake -0.004464
[1683/5000][435/535][173775] Loss_D: -0.018644 Loss_G: 0.004194 Loss_D_real: -0.012548 Loss_D_fake 0.006096
[1683/5000][440/535][173776] Loss_D: -0.018696 Loss_G: 0.001852 Loss_D_real: -0.009306 Loss_D_fake 0.009390
[1683/5000][445/535][173777] Loss_D: -0.018344 Loss_G: 0.004583 Loss_D_real: -0.012402 Loss_D_fake 0.005942
[1683/5000][450/535][173778] Loss_D: -0.018405 Loss_G: 0.006056 Loss_D_real: -0.019931 Loss_D_fake -0.001526
[1683/5000][455/535][173779] Loss_D: -0.017873 Loss_G: 0.005585 Loss_D_real: -0.010408 Loss_D_fake 0.007465
[1683/5000][460/535][173780] Loss_D: -0.019041 Loss_G: -0.002499 Loss_D_real: -0.010186 Loss_D_fake 0.008855
[1683/5000][465/535][173781] Loss_D: -0.018843 Loss_G: 0.003587 Loss_D_real: -0.010474 Loss_D_fake 0.008369
[1683/5000][470/535][173782] Loss_D: -0.019967 Loss_G: 0.019153 Loss_D_real: -0.006874 Loss_D_fake 0.013094
[1683/5000][475/535][173783] Loss_D: -0.018244 Loss_G: 0.017032 Loss_D_real: -0.017368 Loss_D_fake 0.000876
[1683/5000][480/535][173784] Loss_D: -0.017891 Loss_G: -0.026013 Loss_D_real: 0.004317 Loss_D_fake 0.022208
[1683/5000][485/535][173785] Loss_D: -0.018533 Loss_G: 0.009339 Loss_D_real: -0.013916 Loss_D_fake 0.004617
[1683/5000][490/535][173786] Loss_D: -0.017571 Loss_G: 0.027503 Loss_D_real: -0.024290 Loss_D_fake -0.006719
[1683/5000][495/535][173787] Loss_D: -0.020335 Loss_G: 0.001083 Loss_D_real: -0.020469 Loss_D_fake -0.000134
[1683/5000][500/535][173788] Loss_D: -0.018114 Loss_G: 0.020972 Loss_D_real: -0.026339 Loss_D_fake -0.008225
[1683/5000][505/535][173789] Loss_D: -0.019197 Loss_G: 0.007031 Loss_D_real: -0.010741 Loss_D_fake 0.008455
[1683/5000][510/535][173790] Loss_D: -0.017735 Loss_G: 0.023602 Loss_D_real: -0.028813 Loss_D_fake -0.011078
[1683/5000][515/535][173791] Loss_D: -0.019243 Loss_G: 0.005870 Loss_D_real: -0.009943 Loss_D_fake 0.009300
[1683/5000][520/535][173792] Loss_D: -0.019333 Loss_G: 0.012270 Loss_D_real: -0.022019 Loss_D_fake -0.002687
[1683/5000][525/535][173793] Loss_D: -0.017516 Loss_G: 0.010765 Loss_D_real: -0.014449 Loss_D_fake 0.003067
[1683/5000][530/535][173794] Loss_D: -0.018608 Loss_G: -0.000535 Loss_D_real: -0.020877 Loss_D_fake -0.002270
[1683/5000][535/535][173795] Loss_D: -0.018749 Loss_G: 0.016719 Loss_D_real: -0.013253 Loss_D_fake 0.005496
[1684/5000][5/535][173796] Loss_D: -0.019231 Loss_G: 0.027835 Loss_D_real: -0.027445 Loss_D_fake -0.008215
[1684/5000][10/535][173797] Loss_D: -0.017545 Loss_G: 0.004249 Loss_D_real: -0.011743 Loss_D_fake 0.005801
[1684/5000][15/535][173798] Loss_D: -0.017749 Loss_G: -0.001010 Loss_D_real: -0.013739 Loss_D_fake 0.004010
[1684/5000][20/535][173799] Loss_D: -0.018984 Loss_G: 0.008383 Loss_D_real: -0.015460 Loss_D_fake 0.003524
[1684/5000][25/535][173800] Loss_D: -0.018162 Loss_G: 0.012806 Loss_D_real: -0.013669 Loss_D_fake 0.004493
[1684/5000][30/535][173801] Loss_D: -0.016981 Loss_G: 0.025170 Loss_D_real: -0.029620 Loss_D_fake -0.012639
[1684/5000][35/535][173802] Loss_D: -0.018697 Loss_G: -0.004789 Loss_D_real: -0.010676 Loss_D_fake 0.008021
[1684/5000][40/535][173803] Loss_D: -0.017992 Loss_G: 0.014192 Loss_D_real: -0.021235 Loss_D_fake -0.003243
[1684/5000][45/535][173804] Loss_D: -0.019168 Loss_G: 0.017093 Loss_D_real: -0.020169 Loss_D_fake -0.001001
[1684/5000][50/535][173805] Loss_D: -0.020126 Loss_G: 0.008880 Loss_D_real: -0.017600 Loss_D_fake 0.002526
[1684/5000][55/535][173806] Loss_D: -0.018790 Loss_G: -0.006051 Loss_D_real: 0.002921 Loss_D_fake 0.021711
[1684/5000][60/535][173807] Loss_D: -0.017703 Loss_G: 0.011921 Loss_D_real: -0.021581 Loss_D_fake -0.003878
[1684/5000][65/535][173808] Loss_D: -0.017210 Loss_G: -0.001556 Loss_D_real: 0.002077 Loss_D_fake 0.019287
[1684/5000][70/535][173809] Loss_D: -0.018355 Loss_G: 0.018574 Loss_D_real: -0.020859 Loss_D_fake -0.002504
[1684/5000][75/535][173810] Loss_D: -0.018538 Loss_G: 0.009105 Loss_D_real: -0.015615 Loss_D_fake 0.002924
[1684/5000][80/535][173811] Loss_D: -0.018247 Loss_G: 0.018213 Loss_D_real: -0.021148 Loss_D_fake -0.002901
[1684/5000][85/535][173812] Loss_D: -0.019149 Loss_G: -0.004218 Loss_D_real: -0.014165 Loss_D_fake 0.004984
[1684/5000][90/535][173813] Loss_D: -0.018389 Loss_G: 0.026687 Loss_D_real: -0.030661 Loss_D_fake -0.012272
[1684/5000][95/535][173814] Loss_D: -0.019751 Loss_G: 0.000086 Loss_D_real: -0.009766 Loss_D_fake 0.009985
[1684/5000][100/535][173815] Loss_D: -0.018457 Loss_G: -0.006050 Loss_D_real: -0.010239 Loss_D_fake 0.008219
[1684/5000][105/535][173816] Loss_D: -0.019116 Loss_G: 0.003399 Loss_D_real: -0.009336 Loss_D_fake 0.009779
[1684/5000][110/535][173817] Loss_D: -0.016820 Loss_G: 0.021206 Loss_D_real: -0.017613 Loss_D_fake -0.000793
[1684/5000][115/535][173818] Loss_D: -0.017874 Loss_G: 0.008421 Loss_D_real: -0.015406 Loss_D_fake 0.002468
[1684/5000][120/535][173819] Loss_D: -0.019243 Loss_G: 0.019027 Loss_D_real: -0.012487 Loss_D_fake 0.006756
[1684/5000][125/535][173820] Loss_D: -0.019459 Loss_G: 0.000835 Loss_D_real: 0.000882 Loss_D_fake 0.020342
[1684/5000][130/535][173821] Loss_D: -0.017224 Loss_G: -0.014592 Loss_D_real: -0.012653 Loss_D_fake 0.004571
[1684/5000][135/535][173822] Loss_D: -0.017831 Loss_G: -0.005647 Loss_D_real: -0.012583 Loss_D_fake 0.005248
[1684/5000][140/535][173823] Loss_D: -0.018771 Loss_G: -0.019721 Loss_D_real: -0.000456 Loss_D_fake 0.018315
[1684/5000][145/535][173824] Loss_D: -0.018181 Loss_G: 0.003319 Loss_D_real: -0.024770 Loss_D_fake -0.006590
[1684/5000][150/535][173825] Loss_D: -0.018465 Loss_G: 0.021470 Loss_D_real: -0.018989 Loss_D_fake -0.000524
[1684/5000][155/535][173826] Loss_D: -0.018662 Loss_G: 0.004746 Loss_D_real: -0.015147 Loss_D_fake 0.003515
[1684/5000][160/535][173827] Loss_D: -0.019166 Loss_G: 0.010479 Loss_D_real: -0.013170 Loss_D_fake 0.005995
[1684/5000][165/535][173828] Loss_D: -0.017162 Loss_G: 0.022791 Loss_D_real: -0.026367 Loss_D_fake -0.009205
[1684/5000][170/535][173829] Loss_D: -0.018425 Loss_G: 0.018273 Loss_D_real: -0.023065 Loss_D_fake -0.004640
[1684/5000][175/535][173830] Loss_D: -0.019021 Loss_G: 0.002311 Loss_D_real: -0.015082 Loss_D_fake 0.003939
[1684/5000][180/535][173831] Loss_D: -0.018830 Loss_G: 0.002681 Loss_D_real: -0.014713 Loss_D_fake 0.004116
[1684/5000][185/535][173832] Loss_D: -0.019639 Loss_G: -0.010891 Loss_D_real: -0.011403 Loss_D_fake 0.008237
[1684/5000][190/535][173833] Loss_D: -0.018987 Loss_G: 0.009630 Loss_D_real: -0.017600 Loss_D_fake 0.001388
[1684/5000][195/535][173834] Loss_D: -0.019330 Loss_G: 0.013584 Loss_D_real: -0.030334 Loss_D_fake -0.011005
[1684/5000][200/535][173835] Loss_D: -0.017567 Loss_G: -0.010756 Loss_D_real: -0.002980 Loss_D_fake 0.014587
[1684/5000][205/535][173836] Loss_D: -0.019420 Loss_G: 0.023238 Loss_D_real: -0.014464 Loss_D_fake 0.004956
[1684/5000][210/535][173837] Loss_D: -0.018175 Loss_G: 0.006790 Loss_D_real: -0.020112 Loss_D_fake -0.001937
[1684/5000][215/535][173838] Loss_D: -0.019408 Loss_G: 0.012606 Loss_D_real: -0.028871 Loss_D_fake -0.009463
[1684/5000][220/535][173839] Loss_D: -0.018419 Loss_G: 0.012700 Loss_D_real: -0.011649 Loss_D_fake 0.006771
[1684/5000][225/535][173840] Loss_D: -0.019370 Loss_G: -0.000074 Loss_D_real: -0.006934 Loss_D_fake 0.012436
[1684/5000][230/535][173841] Loss_D: -0.019282 Loss_G: 0.014337 Loss_D_real: -0.022725 Loss_D_fake -0.003443
[1684/5000][235/535][173842] Loss_D: -0.019119 Loss_G: -0.014839 Loss_D_real: 0.005908 Loss_D_fake 0.025027
[1684/5000][240/535][173843] Loss_D: -0.018759 Loss_G: 0.006728 Loss_D_real: -0.016310 Loss_D_fake 0.002449
[1684/5000][245/535][173844] Loss_D: -0.018641 Loss_G: -0.002034 Loss_D_real: -0.005442 Loss_D_fake 0.013200
[1684/5000][250/535][173845] Loss_D: -0.019016 Loss_G: 0.020867 Loss_D_real: -0.032235 Loss_D_fake -0.013220
[1684/5000][255/535][173846] Loss_D: -0.019517 Loss_G: -0.000951 Loss_D_real: -0.005806 Loss_D_fake 0.013711
[1684/5000][260/535][173847] Loss_D: -0.018912 Loss_G: -0.002232 Loss_D_real: -0.009580 Loss_D_fake 0.009332
[1684/5000][265/535][173848] Loss_D: -0.019184 Loss_G: -0.002159 Loss_D_real: -0.010784 Loss_D_fake 0.008400
[1684/5000][270/535][173849] Loss_D: -0.019565 Loss_G: 0.027408 Loss_D_real: -0.018779 Loss_D_fake 0.000786
[1684/5000][275/535][173850] Loss_D: -0.017505 Loss_G: -0.015147 Loss_D_real: -0.009807 Loss_D_fake 0.007698
[1684/5000][280/535][173851] Loss_D: -0.018045 Loss_G: -0.004354 Loss_D_real: -0.003310 Loss_D_fake 0.014735
[1684/5000][285/535][173852] Loss_D: -0.018062 Loss_G: 0.004663 Loss_D_real: -0.010348 Loss_D_fake 0.007714
[1684/5000][290/535][173853] Loss_D: -0.018990 Loss_G: 0.018837 Loss_D_real: -0.028301 Loss_D_fake -0.009311
[1684/5000][295/535][173854] Loss_D: -0.018374 Loss_G: 0.016651 Loss_D_real: -0.030487 Loss_D_fake -0.012113
[1684/5000][300/535][173855] Loss_D: -0.018488 Loss_G: -0.004254 Loss_D_real: -0.006870 Loss_D_fake 0.011618
[1684/5000][305/535][173856] Loss_D: -0.017818 Loss_G: 0.030134 Loss_D_real: -0.023727 Loss_D_fake -0.005909
[1684/5000][310/535][173857] Loss_D: -0.018014 Loss_G: 0.012684 Loss_D_real: -0.020661 Loss_D_fake -0.002647
[1684/5000][315/535][173858] Loss_D: -0.018602 Loss_G: 0.004742 Loss_D_real: -0.020841 Loss_D_fake -0.002239
[1684/5000][320/535][173859] Loss_D: -0.017779 Loss_G: -0.020481 Loss_D_real: -0.002540 Loss_D_fake 0.015239
[1684/5000][325/535][173860] Loss_D: -0.017181 Loss_G: 0.013920 Loss_D_real: -0.012699 Loss_D_fake 0.004482
[1684/5000][330/535][173861] Loss_D: -0.017267 Loss_G: 0.017877 Loss_D_real: -0.008438 Loss_D_fake 0.008829
[1684/5000][335/535][173862] Loss_D: -0.018939 Loss_G: 0.016327 Loss_D_real: -0.016581 Loss_D_fake 0.002358
[1684/5000][340/535][173863] Loss_D: -0.019833 Loss_G: 0.010331 Loss_D_real: -0.020702 Loss_D_fake -0.000869
[1684/5000][345/535][173864] Loss_D: -0.017532 Loss_G: 0.018129 Loss_D_real: -0.020079 Loss_D_fake -0.002547
[1684/5000][350/535][173865] Loss_D: -0.018343 Loss_G: -0.000309 Loss_D_real: -0.003277 Loss_D_fake 0.015066
[1684/5000][355/535][173866] Loss_D: -0.018232 Loss_G: 0.021790 Loss_D_real: -0.024117 Loss_D_fake -0.005885
[1684/5000][360/535][173867] Loss_D: -0.019286 Loss_G: 0.011754 Loss_D_real: -0.021318 Loss_D_fake -0.002032
[1684/5000][365/535][173868] Loss_D: -0.018890 Loss_G: 0.011627 Loss_D_real: -0.016369 Loss_D_fake 0.002522
[1684/5000][370/535][173869] Loss_D: -0.018478 Loss_G: 0.009438 Loss_D_real: -0.022689 Loss_D_fake -0.004210
[1684/5000][375/535][173870] Loss_D: -0.019783 Loss_G: 0.010384 Loss_D_real: -0.013089 Loss_D_fake 0.006695
[1684/5000][380/535][173871] Loss_D: -0.020188 Loss_G: 0.009501 Loss_D_real: -0.016314 Loss_D_fake 0.003874
[1684/5000][385/535][173872] Loss_D: -0.019533 Loss_G: -0.001051 Loss_D_real: -0.012354 Loss_D_fake 0.007179
[1684/5000][390/535][173873] Loss_D: -0.018976 Loss_G: 0.000161 Loss_D_real: -0.018252 Loss_D_fake 0.000725
[1684/5000][395/535][173874] Loss_D: -0.020677 Loss_G: 0.001824 Loss_D_real: -0.003011 Loss_D_fake 0.017666
[1684/5000][400/535][173875] Loss_D: -0.020160 Loss_G: -0.004101 Loss_D_real: 0.010435 Loss_D_fake 0.030594
[1684/5000][405/535][173876] Loss_D: -0.019575 Loss_G: -0.002127 Loss_D_real: -0.026456 Loss_D_fake -0.006881
[1684/5000][410/535][173877] Loss_D: -0.019799 Loss_G: -0.001515 Loss_D_real: -0.014818 Loss_D_fake 0.004981
[1684/5000][415/535][173878] Loss_D: -0.019205 Loss_G: -0.000844 Loss_D_real: -0.009466 Loss_D_fake 0.009739
[1684/5000][420/535][173879] Loss_D: -0.019268 Loss_G: -0.006595 Loss_D_real: 0.004512 Loss_D_fake 0.023780
[1684/5000][425/535][173880] Loss_D: -0.018362 Loss_G: 0.012408 Loss_D_real: -0.013459 Loss_D_fake 0.004903
[1684/5000][430/535][173881] Loss_D: -0.018258 Loss_G: 0.013753 Loss_D_real: -0.014582 Loss_D_fake 0.003677
[1684/5000][435/535][173882] Loss_D: -0.020135 Loss_G: -0.004230 Loss_D_real: -0.018018 Loss_D_fake 0.002118
[1684/5000][440/535][173883] Loss_D: -0.020054 Loss_G: 0.018245 Loss_D_real: -0.015273 Loss_D_fake 0.004781
[1684/5000][445/535][173884] Loss_D: -0.018722 Loss_G: -0.004506 Loss_D_real: -0.015926 Loss_D_fake 0.002796
[1684/5000][450/535][173885] Loss_D: -0.016675 Loss_G: -0.010814 Loss_D_real: -0.006512 Loss_D_fake 0.010163
[1684/5000][455/535][173886] Loss_D: -0.017773 Loss_G: 0.003885 Loss_D_real: -0.027261 Loss_D_fake -0.009488
[1684/5000][460/535][173887] Loss_D: -0.019132 Loss_G: 0.003234 Loss_D_real: -0.015998 Loss_D_fake 0.003133
[1684/5000][465/535][173888] Loss_D: -0.019015 Loss_G: 0.014316 Loss_D_real: -0.017850 Loss_D_fake 0.001164
[1684/5000][470/535][173889] Loss_D: -0.018642 Loss_G: -0.006391 Loss_D_real: -0.007678 Loss_D_fake 0.010964
[1684/5000][475/535][173890] Loss_D: -0.018347 Loss_G: -0.010396 Loss_D_real: -0.009793 Loss_D_fake 0.008553
[1684/5000][480/535][173891] Loss_D: -0.019173 Loss_G: 0.011676 Loss_D_real: -0.008850 Loss_D_fake 0.010323
[1684/5000][485/535][173892] Loss_D: -0.019097 Loss_G: 0.011725 Loss_D_real: -0.015317 Loss_D_fake 0.003780
[1684/5000][490/535][173893] Loss_D: -0.019695 Loss_G: 0.011489 Loss_D_real: -0.018221 Loss_D_fake 0.001473
[1684/5000][495/535][173894] Loss_D: -0.017455 Loss_G: 0.025382 Loss_D_real: -0.032861 Loss_D_fake -0.015406
[1684/5000][500/535][173895] Loss_D: -0.018390 Loss_G: 0.005254 Loss_D_real: -0.006502 Loss_D_fake 0.011888
[1684/5000][505/535][173896] Loss_D: -0.020174 Loss_G: 0.012859 Loss_D_real: -0.023510 Loss_D_fake -0.003335
[1684/5000][510/535][173897] Loss_D: -0.019307 Loss_G: -0.010008 Loss_D_real: -0.014323 Loss_D_fake 0.004984
[1684/5000][515/535][173898] Loss_D: -0.017770 Loss_G: 0.003336 Loss_D_real: -0.010684 Loss_D_fake 0.007086
[1684/5000][520/535][173899] Loss_D: -0.018756 Loss_G: 0.003100 Loss_D_real: -0.008781 Loss_D_fake 0.009976
[1684/5000][525/535][173900] Loss_D: -0.018366 Loss_G: 0.032220 Loss_D_real: -0.031933 Loss_D_fake -0.013567
[1684/5000][530/535][173901] Loss_D: -0.017579 Loss_G: -0.009438 Loss_D_real: 0.000980 Loss_D_fake 0.018559
[1684/5000][535/535][173902] Loss_D: -0.015720 Loss_G: 0.008118 Loss_D_real: -0.018333 Loss_D_fake -0.002614
[1685/5000][5/535][173903] Loss_D: -0.019589 Loss_G: 0.022338 Loss_D_real: -0.021645 Loss_D_fake -0.002055
[1685/5000][10/535][173904] Loss_D: -0.017544 Loss_G: 0.009349 Loss_D_real: -0.020820 Loss_D_fake -0.003276
[1685/5000][15/535][173905] Loss_D: -0.017663 Loss_G: -0.023241 Loss_D_real: -0.003678 Loss_D_fake 0.013986
[1685/5000][20/535][173906] Loss_D: -0.019064 Loss_G: 0.022617 Loss_D_real: -0.022504 Loss_D_fake -0.003441
[1685/5000][25/535][173907] Loss_D: -0.018537 Loss_G: 0.002350 Loss_D_real: -0.008818 Loss_D_fake 0.009719
[1685/5000][30/535][173908] Loss_D: -0.017742 Loss_G: 0.023781 Loss_D_real: -0.021602 Loss_D_fake -0.003860
[1685/5000][35/535][173909] Loss_D: -0.018535 Loss_G: 0.012708 Loss_D_real: -0.027119 Loss_D_fake -0.008585
[1685/5000][40/535][173910] Loss_D: -0.019085 Loss_G: 0.000489 Loss_D_real: -0.011360 Loss_D_fake 0.007724
[1685/5000][45/535][173911] Loss_D: -0.019572 Loss_G: 0.011181 Loss_D_real: -0.012728 Loss_D_fake 0.006844
[1685/5000][50/535][173912] Loss_D: -0.018134 Loss_G: 0.028209 Loss_D_real: -0.028613 Loss_D_fake -0.010480
[1685/5000][55/535][173913] Loss_D: -0.018786 Loss_G: 0.000262 Loss_D_real: -0.011699 Loss_D_fake 0.007087
[1685/5000][60/535][173914] Loss_D: -0.017781 Loss_G: 0.011012 Loss_D_real: -0.007617 Loss_D_fake 0.010164
[1685/5000][65/535][173915] Loss_D: -0.019579 Loss_G: 0.006238 Loss_D_real: -0.018800 Loss_D_fake 0.000779
[1685/5000][70/535][173916] Loss_D: -0.018295 Loss_G: 0.001097 Loss_D_real: -0.006998 Loss_D_fake 0.011297
[1685/5000][75/535][173917] Loss_D: -0.018073 Loss_G: 0.010803 Loss_D_real: -0.014011 Loss_D_fake 0.004062
[1685/5000][80/535][173918] Loss_D: -0.018635 Loss_G: 0.002779 Loss_D_real: -0.016151 Loss_D_fake 0.002484
[1685/5000][85/535][173919] Loss_D: -0.018420 Loss_G: 0.014658 Loss_D_real: -0.023052 Loss_D_fake -0.004632
[1685/5000][90/535][173920] Loss_D: -0.019096 Loss_G: 0.002821 Loss_D_real: -0.014019 Loss_D_fake 0.005078
[1685/5000][95/535][173921] Loss_D: -0.017010 Loss_G: 0.027036 Loss_D_real: -0.024002 Loss_D_fake -0.006992
[1685/5000][100/535][173922] Loss_D: -0.017237 Loss_G: -0.004555 Loss_D_real: -0.001625 Loss_D_fake 0.015613
[1685/5000][105/535][173923] Loss_D: -0.017884 Loss_G: 0.021720 Loss_D_real: -0.026650 Loss_D_fake -0.008765
[1685/5000][110/535][173924] Loss_D: -0.018060 Loss_G: 0.024642 Loss_D_real: -0.024775 Loss_D_fake -0.006715
[1685/5000][115/535][173925] Loss_D: -0.018434 Loss_G: 0.005686 Loss_D_real: -0.032334 Loss_D_fake -0.013899
[1685/5000][120/535][173926] Loss_D: -0.019911 Loss_G: 0.023096 Loss_D_real: -0.026498 Loss_D_fake -0.006587
[1685/5000][125/535][173927] Loss_D: -0.019450 Loss_G: 0.010319 Loss_D_real: -0.007591 Loss_D_fake 0.011859
[1685/5000][130/535][173928] Loss_D: -0.019404 Loss_G: 0.019970 Loss_D_real: -0.019292 Loss_D_fake 0.000112
[1685/5000][135/535][173929] Loss_D: -0.018316 Loss_G: -0.000684 Loss_D_real: -0.004063 Loss_D_fake 0.014253
[1685/5000][140/535][173930] Loss_D: -0.020859 Loss_G: 0.000036 Loss_D_real: -0.014555 Loss_D_fake 0.006305
[1685/5000][145/535][173931] Loss_D: -0.019767 Loss_G: 0.007983 Loss_D_real: -0.023154 Loss_D_fake -0.003387
[1685/5000][150/535][173932] Loss_D: -0.018886 Loss_G: 0.005091 Loss_D_real: -0.004343 Loss_D_fake 0.014543
[1685/5000][155/535][173933] Loss_D: -0.018347 Loss_G: 0.019282 Loss_D_real: -0.006583 Loss_D_fake 0.011764
[1685/5000][160/535][173934] Loss_D: -0.019144 Loss_G: 0.013886 Loss_D_real: -0.022661 Loss_D_fake -0.003517
[1685/5000][165/535][173935] Loss_D: -0.020495 Loss_G: -0.005687 Loss_D_real: -0.012385 Loss_D_fake 0.008110
[1685/5000][170/535][173936] Loss_D: -0.020258 Loss_G: -0.014183 Loss_D_real: -0.000975 Loss_D_fake 0.019283
[1685/5000][175/535][173937] Loss_D: -0.019064 Loss_G: -0.007302 Loss_D_real: -0.010760 Loss_D_fake 0.008305
[1685/5000][180/535][173938] Loss_D: -0.019925 Loss_G: 0.015646 Loss_D_real: -0.014962 Loss_D_fake 0.004962
[1685/5000][185/535][173939] Loss_D: -0.019375 Loss_G: 0.005604 Loss_D_real: -0.014089 Loss_D_fake 0.005286
[1685/5000][190/535][173940] Loss_D: -0.018806 Loss_G: 0.010606 Loss_D_real: -0.001198 Loss_D_fake 0.017608
[1685/5000][195/535][173941] Loss_D: -0.018964 Loss_G: 0.004234 Loss_D_real: -0.028021 Loss_D_fake -0.009056
[1685/5000][200/535][173942] Loss_D: -0.017439 Loss_G: 0.035571 Loss_D_real: -0.016451 Loss_D_fake 0.000989
[1685/5000][205/535][173943] Loss_D: -0.018449 Loss_G: 0.009369 Loss_D_real: -0.016305 Loss_D_fake 0.002144
[1685/5000][210/535][173944] Loss_D: -0.018869 Loss_G: 0.008739 Loss_D_real: -0.014907 Loss_D_fake 0.003963
[1685/5000][215/535][173945] Loss_D: -0.017702 Loss_G: 0.013906 Loss_D_real: -0.007260 Loss_D_fake 0.010442
[1685/5000][220/535][173946] Loss_D: -0.018036 Loss_G: -0.018664 Loss_D_real: 0.000109 Loss_D_fake 0.018145
[1685/5000][225/535][173947] Loss_D: -0.017603 Loss_G: 0.002500 Loss_D_real: -0.023460 Loss_D_fake -0.005857
[1685/5000][230/535][173948] Loss_D: -0.017572 Loss_G: -0.003793 Loss_D_real: -0.008295 Loss_D_fake 0.009277
[1685/5000][235/535][173949] Loss_D: -0.018552 Loss_G: 0.001667 Loss_D_real: -0.008598 Loss_D_fake 0.009953
[1685/5000][240/535][173950] Loss_D: -0.018829 Loss_G: -0.006208 Loss_D_real: -0.000651 Loss_D_fake 0.018178
[1685/5000][245/535][173951] Loss_D: -0.018789 Loss_G: -0.008051 Loss_D_real: -0.003493 Loss_D_fake 0.015295
[1685/5000][250/535][173952] Loss_D: -0.019020 Loss_G: 0.004870 Loss_D_real: -0.018399 Loss_D_fake 0.000621
[1685/5000][255/535][173953] Loss_D: -0.018205 Loss_G: 0.015000 Loss_D_real: -0.022234 Loss_D_fake -0.004029
[1685/5000][260/535][173954] Loss_D: -0.017406 Loss_G: 0.019709 Loss_D_real: -0.032640 Loss_D_fake -0.015235
[1685/5000][265/535][173955] Loss_D: -0.018895 Loss_G: 0.002980 Loss_D_real: 0.003222 Loss_D_fake 0.022116
[1685/5000][270/535][173956] Loss_D: -0.017560 Loss_G: 0.024617 Loss_D_real: -0.034567 Loss_D_fake -0.017007
[1685/5000][275/535][173957] Loss_D: -0.018584 Loss_G: -0.000312 Loss_D_real: -0.007008 Loss_D_fake 0.011576
[1685/5000][280/535][173958] Loss_D: -0.017863 Loss_G: 0.017287 Loss_D_real: -0.019383 Loss_D_fake -0.001520
[1685/5000][285/535][173959] Loss_D: -0.019195 Loss_G: 0.000304 Loss_D_real: -0.025625 Loss_D_fake -0.006430
[1685/5000][290/535][173960] Loss_D: -0.018406 Loss_G: -0.000141 Loss_D_real: -0.020272 Loss_D_fake -0.001866
[1685/5000][295/535][173961] Loss_D: -0.018109 Loss_G: -0.015430 Loss_D_real: -0.002994 Loss_D_fake 0.015115
[1685/5000][300/535][173962] Loss_D: -0.017808 Loss_G: 0.011998 Loss_D_real: -0.014268 Loss_D_fake 0.003540
[1685/5000][305/535][173963] Loss_D: -0.018701 Loss_G: 0.002799 Loss_D_real: -0.001794 Loss_D_fake 0.016907
[1685/5000][310/535][173964] Loss_D: -0.019306 Loss_G: 0.017226 Loss_D_real: -0.015174 Loss_D_fake 0.004132
[1685/5000][315/535][173965] Loss_D: -0.018369 Loss_G: 0.002521 Loss_D_real: -0.012058 Loss_D_fake 0.006311
[1685/5000][320/535][173966] Loss_D: -0.018581 Loss_G: 0.020678 Loss_D_real: -0.020639 Loss_D_fake -0.002058
[1685/5000][325/535][173967] Loss_D: -0.018069 Loss_G: 0.012849 Loss_D_real: -0.020742 Loss_D_fake -0.002672
[1685/5000][330/535][173968] Loss_D: -0.020178 Loss_G: -0.001983 Loss_D_real: -0.008848 Loss_D_fake 0.011331
[1685/5000][335/535][173969] Loss_D: -0.017472 Loss_G: -0.001954 Loss_D_real: -0.006862 Loss_D_fake 0.010611
[1685/5000][340/535][173970] Loss_D: -0.019051 Loss_G: 0.016841 Loss_D_real: -0.031862 Loss_D_fake -0.012811
[1685/5000][345/535][173971] Loss_D: -0.019784 Loss_G: -0.007661 Loss_D_real: -0.017791 Loss_D_fake 0.001994
[1685/5000][350/535][173972] Loss_D: -0.019142 Loss_G: 0.014113 Loss_D_real: -0.032991 Loss_D_fake -0.013849
[1685/5000][355/535][173973] Loss_D: -0.019991 Loss_G: 0.020515 Loss_D_real: -0.009483 Loss_D_fake 0.010508
[1685/5000][360/535][173974] Loss_D: -0.018587 Loss_G: -0.008458 Loss_D_real: -0.013924 Loss_D_fake 0.004662
[1685/5000][365/535][173975] Loss_D: -0.019675 Loss_G: 0.003518 Loss_D_real: -0.019652 Loss_D_fake 0.000023
[1685/5000][370/535][173976] Loss_D: -0.020164 Loss_G: 0.019038 Loss_D_real: -0.012554 Loss_D_fake 0.007610
[1685/5000][375/535][173977] Loss_D: -0.018759 Loss_G: -0.003281 Loss_D_real: -0.018186 Loss_D_fake 0.000573
[1685/5000][380/535][173978] Loss_D: -0.018265 Loss_G: 0.019254 Loss_D_real: -0.027579 Loss_D_fake -0.009315
[1685/5000][385/535][173979] Loss_D: -0.017485 Loss_G: -0.005803 Loss_D_real: 0.009334 Loss_D_fake 0.026818
[1685/5000][390/535][173980] Loss_D: -0.017491 Loss_G: 0.018503 Loss_D_real: -0.030052 Loss_D_fake -0.012561
[1685/5000][395/535][173981] Loss_D: -0.018249 Loss_G: -0.009139 Loss_D_real: -0.013500 Loss_D_fake 0.004748
[1685/5000][400/535][173982] Loss_D: -0.019038 Loss_G: 0.012455 Loss_D_real: -0.023314 Loss_D_fake -0.004276
[1685/5000][405/535][173983] Loss_D: -0.017283 Loss_G: 0.004346 Loss_D_real: -0.013232 Loss_D_fake 0.004051
[1685/5000][410/535][173984] Loss_D: -0.019612 Loss_G: 0.015928 Loss_D_real: -0.023087 Loss_D_fake -0.003475
[1685/5000][415/535][173985] Loss_D: -0.016968 Loss_G: -0.008747 Loss_D_real: -0.003421 Loss_D_fake 0.013547
[1685/5000][420/535][173986] Loss_D: -0.018936 Loss_G: 0.006468 Loss_D_real: -0.010689 Loss_D_fake 0.008246
[1685/5000][425/535][173987] Loss_D: -0.019233 Loss_G: 0.017386 Loss_D_real: -0.020243 Loss_D_fake -0.001010
[1685/5000][430/535][173988] Loss_D: -0.018339 Loss_G: 0.006296 Loss_D_real: -0.007175 Loss_D_fake 0.011164
[1685/5000][435/535][173989] Loss_D: -0.018525 Loss_G: 0.007479 Loss_D_real: -0.014099 Loss_D_fake 0.004426
[1685/5000][440/535][173990] Loss_D: -0.020135 Loss_G: 0.012401 Loss_D_real: -0.023058 Loss_D_fake -0.002923
[1685/5000][445/535][173991] Loss_D: -0.016558 Loss_G: 0.001001 Loss_D_real: -0.016424 Loss_D_fake 0.000135
[1685/5000][450/535][173992] Loss_D: -0.018748 Loss_G: 0.011496 Loss_D_real: -0.006537 Loss_D_fake 0.012211
[1685/5000][455/535][173993] Loss_D: -0.017085 Loss_G: 0.016291 Loss_D_real: -0.024853 Loss_D_fake -0.007768
[1685/5000][460/535][173994] Loss_D: -0.017389 Loss_G: 0.004195 Loss_D_real: -0.029922 Loss_D_fake -0.012532
[1685/5000][465/535][173995] Loss_D: -0.019887 Loss_G: 0.000593 Loss_D_real: -0.009957 Loss_D_fake 0.009931
[1685/5000][470/535][173996] Loss_D: -0.019382 Loss_G: 0.008836 Loss_D_real: -0.037456 Loss_D_fake -0.018074
[1685/5000][475/535][173997] Loss_D: -0.019427 Loss_G: 0.026049 Loss_D_real: -0.020088 Loss_D_fake -0.000661
[1685/5000][480/535][173998] Loss_D: -0.018690 Loss_G: 0.011680 Loss_D_real: -0.028565 Loss_D_fake -0.009876
[1685/5000][485/535][173999] Loss_D: -0.018673 Loss_G: -0.009845 Loss_D_real: -0.003431 Loss_D_fake 0.015242
[1685/5000][490/535][174000] Loss_D: -0.019709 Loss_G: -0.007115 Loss_D_real: -0.001867 Loss_D_fake 0.017842
[1685/5000][535/535][174001] Loss_D: -0.020212 Loss_G: 0.024342 Loss_D_real: -0.011839 Loss_D_fake 0.008372
[1686/5000][5/535][174002] Loss_D: -0.019800 Loss_G: -0.001980 Loss_D_real: -0.019447 Loss_D_fake 0.000354
[1686/5000][10/535][174003] Loss_D: -0.018261 Loss_G: 0.025797 Loss_D_real: -0.026980 Loss_D_fake -0.008719
[1686/5000][15/535][174004] Loss_D: -0.019384 Loss_G: 0.002674 Loss_D_real: -0.025191 Loss_D_fake -0.005807
[1686/5000][20/535][174005] Loss_D: -0.016938 Loss_G: 0.029863 Loss_D_real: -0.021779 Loss_D_fake -0.004841
[1686/5000][25/535][174006] Loss_D: -0.018994 Loss_G: -0.005347 Loss_D_real: -0.015576 Loss_D_fake 0.003418
[1686/5000][30/535][174007] Loss_D: -0.018065 Loss_G: 0.011189 Loss_D_real: -0.032197 Loss_D_fake -0.014132
[1686/5000][35/535][174008] Loss_D: -0.017722 Loss_G: -0.003412 Loss_D_real: -0.001347 Loss_D_fake 0.016375
[1686/5000][40/535][174009] Loss_D: -0.019103 Loss_G: 0.000568 Loss_D_real: -0.001534 Loss_D_fake 0.017569
[1686/5000][45/535][174010] Loss_D: -0.018686 Loss_G: 0.007033 Loss_D_real: -0.030497 Loss_D_fake -0.011811
[1686/5000][50/535][174011] Loss_D: -0.018897 Loss_G: 0.007275 Loss_D_real: -0.021407 Loss_D_fake -0.002509
[1686/5000][55/535][174012] Loss_D: -0.019465 Loss_G: -0.005619 Loss_D_real: 0.002280 Loss_D_fake 0.021745
[1686/5000][60/535][174013] Loss_D: -0.018687 Loss_G: 0.013334 Loss_D_real: -0.020584 Loss_D_fake -0.001897
[1686/5000][65/535][174014] Loss_D: -0.018788 Loss_G: 0.020991 Loss_D_real: -0.025113 Loss_D_fake -0.006325
[1686/5000][70/535][174015] Loss_D: -0.019052 Loss_G: 0.017076 Loss_D_real: -0.010817 Loss_D_fake 0.008235
[1686/5000][75/535][174016] Loss_D: -0.017638 Loss_G: -0.012711 Loss_D_real: -0.008004 Loss_D_fake 0.009635
[1686/5000][80/535][174017] Loss_D: -0.020029 Loss_G: 0.012565 Loss_D_real: -0.017455 Loss_D_fake 0.002574
[1686/5000][85/535][174018] Loss_D: -0.018630 Loss_G: -0.009021 Loss_D_real: 0.000183 Loss_D_fake 0.018813
[1686/5000][90/535][174019] Loss_D: -0.018816 Loss_G: -0.002677 Loss_D_real: -0.005533 Loss_D_fake 0.013283
[1686/5000][95/535][174020] Loss_D: -0.018765 Loss_G: 0.007072 Loss_D_real: -0.006433 Loss_D_fake 0.012332
[1686/5000][100/535][174021] Loss_D: -0.018843 Loss_G: -0.005968 Loss_D_real: -0.006012 Loss_D_fake 0.012832
[1686/5000][105/535][174022] Loss_D: -0.019241 Loss_G: 0.013954 Loss_D_real: -0.023040 Loss_D_fake -0.003799
[1686/5000][110/535][174023] Loss_D: -0.020096 Loss_G: 0.024059 Loss_D_real: -0.014866 Loss_D_fake 0.005230
[1686/5000][115/535][174024] Loss_D: -0.018335 Loss_G: 0.012877 Loss_D_real: -0.026753 Loss_D_fake -0.008418
[1686/5000][120/535][174025] Loss_D: -0.020176 Loss_G: -0.004195 Loss_D_real: -0.029203 Loss_D_fake -0.009027
[1686/5000][125/535][174026] Loss_D: -0.019536 Loss_G: 0.009397 Loss_D_real: -0.031913 Loss_D_fake -0.012377
[1686/5000][130/535][174027] Loss_D: -0.018928 Loss_G: -0.001860 Loss_D_real: 0.004100 Loss_D_fake 0.023028
[1686/5000][135/535][174028] Loss_D: -0.018725 Loss_G: 0.010748 Loss_D_real: -0.023560 Loss_D_fake -0.004835
[1686/5000][140/535][174029] Loss_D: -0.018516 Loss_G: -0.002464 Loss_D_real: 0.008227 Loss_D_fake 0.026743
[1686/5000][145/535][174030] Loss_D: -0.018486 Loss_G: 0.015684 Loss_D_real: -0.020699 Loss_D_fake -0.002213
[1686/5000][150/535][174031] Loss_D: -0.018822 Loss_G: -0.003137 Loss_D_real: -0.003191 Loss_D_fake 0.015632
[1686/5000][155/535][174032] Loss_D: -0.019144 Loss_G: 0.013681 Loss_D_real: -0.007844 Loss_D_fake 0.011301
[1686/5000][160/535][174033] Loss_D: -0.018731 Loss_G: 0.008189 Loss_D_real: -0.020822 Loss_D_fake -0.002091
[1686/5000][165/535][174034] Loss_D: -0.018909 Loss_G: 0.009943 Loss_D_real: -0.028689 Loss_D_fake -0.009779
[1686/5000][170/535][174035] Loss_D: -0.017797 Loss_G: 0.023896 Loss_D_real: -0.021153 Loss_D_fake -0.003356
[1686/5000][175/535][174036] Loss_D: -0.018247 Loss_G: 0.018008 Loss_D_real: -0.030013 Loss_D_fake -0.011766
[1686/5000][180/535][174037] Loss_D: -0.018576 Loss_G: 0.016961 Loss_D_real: -0.024865 Loss_D_fake -0.006289
[1686/5000][185/535][174038] Loss_D: -0.019167 Loss_G: 0.019791 Loss_D_real: -0.029182 Loss_D_fake -0.010014
[1686/5000][190/535][174039] Loss_D: -0.019925 Loss_G: -0.006066 Loss_D_real: -0.022575 Loss_D_fake -0.002650
[1686/5000][195/535][174040] Loss_D: -0.020147 Loss_G: -0.005632 Loss_D_real: -0.000596 Loss_D_fake 0.019551
[1686/5000][200/535][174041] Loss_D: -0.017901 Loss_G: 0.022259 Loss_D_real: -0.020658 Loss_D_fake -0.002757
[1686/5000][205/535][174042] Loss_D: -0.019405 Loss_G: 0.002641 Loss_D_real: -0.003918 Loss_D_fake 0.015487
[1686/5000][210/535][174043] Loss_D: -0.018167 Loss_G: -0.014912 Loss_D_real: -0.002180 Loss_D_fake 0.015987
[1686/5000][215/535][174044] Loss_D: -0.017858 Loss_G: 0.007663 Loss_D_real: -0.010610 Loss_D_fake 0.007248
[1686/5000][220/535][174045] Loss_D: -0.018194 Loss_G: 0.009127 Loss_D_real: -0.024440 Loss_D_fake -0.006246
[1686/5000][225/535][174046] Loss_D: -0.017470 Loss_G: 0.024200 Loss_D_real: -0.019103 Loss_D_fake -0.001632
[1686/5000][230/535][174047] Loss_D: -0.017094 Loss_G: -0.011264 Loss_D_real: -0.000002 Loss_D_fake 0.017092
[1686/5000][235/535][174048] Loss_D: -0.017350 Loss_G: 0.000531 Loss_D_real: -0.005352 Loss_D_fake 0.011998
[1686/5000][240/535][174049] Loss_D: -0.018692 Loss_G: -0.000185 Loss_D_real: -0.014165 Loss_D_fake 0.004527
[1686/5000][245/535][174050] Loss_D: -0.018378 Loss_G: 0.015668 Loss_D_real: -0.018644 Loss_D_fake -0.000266
[1686/5000][250/535][174051] Loss_D: -0.018446 Loss_G: 0.003266 Loss_D_real: -0.013915 Loss_D_fake 0.004531
[1686/5000][255/535][174052] Loss_D: -0.018444 Loss_G: 0.018913 Loss_D_real: -0.024596 Loss_D_fake -0.006152
[1686/5000][260/535][174053] Loss_D: -0.017671 Loss_G: -0.016591 Loss_D_real: 0.000411 Loss_D_fake 0.018083
[1686/5000][265/535][174054] Loss_D: -0.018807 Loss_G: 0.018637 Loss_D_real: -0.022000 Loss_D_fake -0.003193
[1686/5000][270/535][174055] Loss_D: -0.018911 Loss_G: 0.005749 Loss_D_real: -0.028696 Loss_D_fake -0.009785
[1686/5000][275/535][174056] Loss_D: -0.019199 Loss_G: 0.019277 Loss_D_real: -0.018844 Loss_D_fake 0.000355
[1686/5000][280/535][174057] Loss_D: -0.018721 Loss_G: 0.009552 Loss_D_real: -0.018446 Loss_D_fake 0.000275
[1686/5000][285/535][174058] Loss_D: -0.018909 Loss_G: -0.000122 Loss_D_real: -0.007652 Loss_D_fake 0.011257
[1686/5000][290/535][174059] Loss_D: -0.018025 Loss_G: 0.020794 Loss_D_real: -0.023066 Loss_D_fake -0.005041
[1686/5000][295/535][174060] Loss_D: -0.017880 Loss_G: -0.004093 Loss_D_real: 0.001816 Loss_D_fake 0.019696
[1686/5000][300/535][174061] Loss_D: -0.020068 Loss_G: 0.001773 Loss_D_real: -0.016104 Loss_D_fake 0.003965
[1686/5000][305/535][174062] Loss_D: -0.018602 Loss_G: 0.001341 Loss_D_real: -0.003162 Loss_D_fake 0.015440
[1686/5000][310/535][174063] Loss_D: -0.018372 Loss_G: -0.001203 Loss_D_real: 0.001722 Loss_D_fake 0.020094
[1686/5000][315/535][174064] Loss_D: -0.018493 Loss_G: 0.018342 Loss_D_real: -0.018734 Loss_D_fake -0.000240
[1686/5000][320/535][174065] Loss_D: -0.019362 Loss_G: -0.010496 Loss_D_real: -0.014237 Loss_D_fake 0.005125
[1686/5000][325/535][174066] Loss_D: -0.017928 Loss_G: 0.021534 Loss_D_real: -0.026950 Loss_D_fake -0.009022
[1686/5000][330/535][174067] Loss_D: -0.018537 Loss_G: 0.003464 Loss_D_real: -0.004021 Loss_D_fake 0.014516
[1686/5000][335/535][174068] Loss_D: -0.017734 Loss_G: 0.011398 Loss_D_real: -0.015260 Loss_D_fake 0.002475
[1686/5000][340/535][174069] Loss_D: -0.019681 Loss_G: 0.022324 Loss_D_real: -0.014491 Loss_D_fake 0.005190
[1686/5000][345/535][174070] Loss_D: -0.019270 Loss_G: 0.010224 Loss_D_real: -0.026072 Loss_D_fake -0.006802
[1686/5000][350/535][174071] Loss_D: -0.019530 Loss_G: 0.016200 Loss_D_real: -0.003500 Loss_D_fake 0.016030
[1686/5000][355/535][174072] Loss_D: -0.018815 Loss_G: 0.006312 Loss_D_real: -0.006639 Loss_D_fake 0.012176
[1686/5000][360/535][174073] Loss_D: -0.017211 Loss_G: 0.026479 Loss_D_real: -0.032949 Loss_D_fake -0.015738
[1686/5000][365/535][174074] Loss_D: -0.018224 Loss_G: 0.024338 Loss_D_real: -0.020168 Loss_D_fake -0.001943
[1686/5000][370/535][174075] Loss_D: -0.018918 Loss_G: -0.004472 Loss_D_real: -0.014362 Loss_D_fake 0.004556
[1686/5000][375/535][174076] Loss_D: -0.018881 Loss_G: 0.007453 Loss_D_real: -0.006854 Loss_D_fake 0.012027
[1686/5000][380/535][174077] Loss_D: -0.018857 Loss_G: 0.019731 Loss_D_real: -0.019799 Loss_D_fake -0.000942
[1686/5000][385/535][174078] Loss_D: -0.018433 Loss_G: 0.005801 Loss_D_real: -0.027229 Loss_D_fake -0.008796
[1686/5000][390/535][174079] Loss_D: -0.019492 Loss_G: 0.004367 Loss_D_real: -0.020652 Loss_D_fake -0.001161
[1686/5000][395/535][174080] Loss_D: -0.019315 Loss_G: 0.001811 Loss_D_real: -0.009083 Loss_D_fake 0.010232
[1686/5000][400/535][174081] Loss_D: -0.018960 Loss_G: 0.002764 Loss_D_real: -0.013232 Loss_D_fake 0.005727
[1686/5000][405/535][174082] Loss_D: -0.019665 Loss_G: 0.001876 Loss_D_real: -0.000414 Loss_D_fake 0.019250
[1686/5000][410/535][174083] Loss_D: -0.018052 Loss_G: 0.013129 Loss_D_real: -0.018179 Loss_D_fake -0.000127
[1686/5000][415/535][174084] Loss_D: -0.018629 Loss_G: 0.023303 Loss_D_real: -0.026638 Loss_D_fake -0.008009
[1686/5000][420/535][174085] Loss_D: -0.019211 Loss_G: 0.015320 Loss_D_real: -0.027437 Loss_D_fake -0.008226
[1686/5000][425/535][174086] Loss_D: -0.019328 Loss_G: 0.003305 Loss_D_real: -0.026662 Loss_D_fake -0.007334
[1686/5000][430/535][174087] Loss_D: -0.018430 Loss_G: 0.010771 Loss_D_real: -0.033380 Loss_D_fake -0.014949
[1686/5000][435/535][174088] Loss_D: -0.019151 Loss_G: 0.017890 Loss_D_real: -0.020770 Loss_D_fake -0.001619
[1686/5000][440/535][174089] Loss_D: -0.019373 Loss_G: 0.010954 Loss_D_real: 0.005147 Loss_D_fake 0.024520
[1686/5000][445/535][174090] Loss_D: -0.019761 Loss_G: 0.004440 Loss_D_real: -0.011860 Loss_D_fake 0.007902
[1686/5000][450/535][174091] Loss_D: -0.018818 Loss_G: -0.000911 Loss_D_real: -0.000843 Loss_D_fake 0.017975
[1686/5000][455/535][174092] Loss_D: -0.018333 Loss_G: 0.009773 Loss_D_real: -0.025312 Loss_D_fake -0.006979
[1686/5000][460/535][174093] Loss_D: -0.018620 Loss_G: -0.009822 Loss_D_real: -0.015280 Loss_D_fake 0.003340
[1686/5000][465/535][174094] Loss_D: -0.019194 Loss_G: 0.019306 Loss_D_real: -0.026291 Loss_D_fake -0.007097
[1686/5000][470/535][174095] Loss_D: -0.019120 Loss_G: 0.014279 Loss_D_real: -0.028602 Loss_D_fake -0.009483
[1686/5000][475/535][174096] Loss_D: -0.019045 Loss_G: 0.019293 Loss_D_real: -0.017871 Loss_D_fake 0.001174
[1686/5000][480/535][174097] Loss_D: -0.017492 Loss_G: -0.005542 Loss_D_real: -0.006979 Loss_D_fake 0.010514
[1686/5000][485/535][174098] Loss_D: -0.015834 Loss_G: 0.015489 Loss_D_real: -0.033118 Loss_D_fake -0.017284
[1686/5000][490/535][174099] Loss_D: -0.015263 Loss_G: -0.017368 Loss_D_real: 0.010511 Loss_D_fake 0.025774
[1686/5000][495/535][174100] Loss_D: -0.018444 Loss_G: -0.002653 Loss_D_real: -0.010332 Loss_D_fake 0.008112
[1686/5000][500/535][174101] Loss_D: -0.018627 Loss_G: 0.003999 Loss_D_real: -0.007476 Loss_D_fake 0.011151
[1686/5000][505/535][174102] Loss_D: -0.018985 Loss_G: 0.002006 Loss_D_real: -0.007786 Loss_D_fake 0.011200
[1686/5000][510/535][174103] Loss_D: -0.017615 Loss_G: 0.013966 Loss_D_real: -0.017358 Loss_D_fake 0.000257
[1686/5000][515/535][174104] Loss_D: -0.018695 Loss_G: 0.026175 Loss_D_real: -0.020411 Loss_D_fake -0.001716
[1686/5000][520/535][174105] Loss_D: -0.017895 Loss_G: -0.018422 Loss_D_real: -0.003329 Loss_D_fake 0.014566
[1686/5000][525/535][174106] Loss_D: -0.018195 Loss_G: 0.014642 Loss_D_real: -0.030271 Loss_D_fake -0.012075
[1686/5000][530/535][174107] Loss_D: -0.017877 Loss_G: -0.003903 Loss_D_real: -0.005682 Loss_D_fake 0.012195
[1686/5000][535/535][174108] Loss_D: -0.020059 Loss_G: 0.000073 Loss_D_real: -0.022808 Loss_D_fake -0.002750
[1687/5000][5/535][174109] Loss_D: -0.019921 Loss_G: -0.009000 Loss_D_real: -0.006441 Loss_D_fake 0.013480
[1687/5000][10/535][174110] Loss_D: -0.018522 Loss_G: 0.008468 Loss_D_real: -0.005553 Loss_D_fake 0.012969
[1687/5000][15/535][174111] Loss_D: -0.018130 Loss_G: 0.027878 Loss_D_real: -0.026650 Loss_D_fake -0.008520
[1687/5000][20/535][174112] Loss_D: -0.017873 Loss_G: 0.014363 Loss_D_real: -0.024188 Loss_D_fake -0.006315
[1687/5000][25/535][174113] Loss_D: -0.019132 Loss_G: 0.005898 Loss_D_real: -0.028434 Loss_D_fake -0.009302
[1687/5000][30/535][174114] Loss_D: -0.018856 Loss_G: 0.010453 Loss_D_real: -0.012586 Loss_D_fake 0.006270
[1687/5000][35/535][174115] Loss_D: -0.018754 Loss_G: -0.010649 Loss_D_real: -0.002622 Loss_D_fake 0.016131
[1687/5000][40/535][174116] Loss_D: -0.018800 Loss_G: 0.008510 Loss_D_real: -0.028607 Loss_D_fake -0.009807
[1687/5000][45/535][174117] Loss_D: -0.018630 Loss_G: 0.034139 Loss_D_real: -0.020350 Loss_D_fake -0.001720
[1687/5000][50/535][174118] Loss_D: -0.018955 Loss_G: 0.020748 Loss_D_real: -0.015945 Loss_D_fake 0.003010
[1687/5000][55/535][174119] Loss_D: -0.018680 Loss_G: -0.004399 Loss_D_real: -0.011959 Loss_D_fake 0.006721
[1687/5000][60/535][174120] Loss_D: -0.020001 Loss_G: 0.006797 Loss_D_real: -0.011851 Loss_D_fake 0.008150
[1687/5000][65/535][174121] Loss_D: -0.019076 Loss_G: 0.025191 Loss_D_real: -0.025870 Loss_D_fake -0.006795
[1687/5000][70/535][174122] Loss_D: -0.019202 Loss_G: 0.006145 Loss_D_real: -0.009452 Loss_D_fake 0.009750
[1687/5000][75/535][174123] Loss_D: -0.017909 Loss_G: -0.008692 Loss_D_real: 0.004673 Loss_D_fake 0.022582
[1687/5000][80/535][174124] Loss_D: -0.019018 Loss_G: -0.000807 Loss_D_real: -0.016878 Loss_D_fake 0.002140
[1687/5000][85/535][174125] Loss_D: -0.019723 Loss_G: 0.012797 Loss_D_real: -0.000089 Loss_D_fake 0.019634
[1687/5000][90/535][174126] Loss_D: -0.019143 Loss_G: 0.011139 Loss_D_real: -0.021125 Loss_D_fake -0.001982
[1687/5000][95/535][174127] Loss_D: -0.019354 Loss_G: 0.012864 Loss_D_real: -0.013142 Loss_D_fake 0.006212
[1687/5000][100/535][174128] Loss_D: -0.019503 Loss_G: 0.014252 Loss_D_real: -0.029523 Loss_D_fake -0.010020
[1687/5000][105/535][174129] Loss_D: -0.019289 Loss_G: -0.019289 Loss_D_real: -0.003878 Loss_D_fake 0.015411
[1687/5000][110/535][174130] Loss_D: -0.020033 Loss_G: -0.009563 Loss_D_real: -0.008501 Loss_D_fake 0.011532
[1687/5000][115/535][174131] Loss_D: -0.018183 Loss_G: 0.019331 Loss_D_real: -0.019640 Loss_D_fake -0.001457
[1687/5000][120/535][174132] Loss_D: -0.020007 Loss_G: 0.010373 Loss_D_real: -0.026811 Loss_D_fake -0.006804
[1687/5000][125/535][174133] Loss_D: -0.020080 Loss_G: 0.004899 Loss_D_real: -0.009022 Loss_D_fake 0.011058
[1687/5000][130/535][174134] Loss_D: -0.019906 Loss_G: 0.026071 Loss_D_real: -0.018139 Loss_D_fake 0.001767
[1687/5000][135/535][174135] Loss_D: -0.019351 Loss_G: 0.030818 Loss_D_real: -0.026068 Loss_D_fake -0.006717
[1687/5000][140/535][174136] Loss_D: -0.020558 Loss_G: 0.000284 Loss_D_real: -0.014324 Loss_D_fake 0.006234
[1687/5000][145/535][174137] Loss_D: -0.018485 Loss_G: -0.000418 Loss_D_real: -0.011203 Loss_D_fake 0.007282
[1687/5000][150/535][174138] Loss_D: -0.018264 Loss_G: 0.022772 Loss_D_real: -0.027499 Loss_D_fake -0.009235
[1687/5000][155/535][174139] Loss_D: -0.019551 Loss_G: 0.003471 Loss_D_real: -0.031663 Loss_D_fake -0.012112
[1687/5000][160/535][174140] Loss_D: -0.020638 Loss_G: 0.023405 Loss_D_real: -0.016119 Loss_D_fake 0.004519
[1687/5000][165/535][174141] Loss_D: -0.018685 Loss_G: 0.014116 Loss_D_real: -0.015549 Loss_D_fake 0.003136
[1687/5000][170/535][174142] Loss_D: -0.017616 Loss_G: 0.012933 Loss_D_real: -0.019700 Loss_D_fake -0.002084
[1687/5000][175/535][174143] Loss_D: -0.019278 Loss_G: 0.008145 Loss_D_real: -0.016572 Loss_D_fake 0.002705
[1687/5000][180/535][174144] Loss_D: -0.019906 Loss_G: 0.014614 Loss_D_real: -0.025235 Loss_D_fake -0.005329
[1687/5000][185/535][174145] Loss_D: -0.017580 Loss_G: -0.016537 Loss_D_real: -0.004988 Loss_D_fake 0.012592
[1687/5000][190/535][174146] Loss_D: -0.018723 Loss_G: 0.018433 Loss_D_real: -0.012798 Loss_D_fake 0.005924
[1687/5000][195/535][174147] Loss_D: -0.018802 Loss_G: -0.004759 Loss_D_real: -0.024041 Loss_D_fake -0.005238
[1687/5000][200/535][174148] Loss_D: -0.019474 Loss_G: -0.005085 Loss_D_real: -0.002690 Loss_D_fake 0.016784
[1687/5000][205/535][174149] Loss_D: -0.019050 Loss_G: 0.009449 Loss_D_real: -0.023620 Loss_D_fake -0.004570
[1687/5000][210/535][174150] Loss_D: -0.018101 Loss_G: -0.003845 Loss_D_real: 0.005091 Loss_D_fake 0.023191
[1687/5000][215/535][174151] Loss_D: -0.018803 Loss_G: 0.005298 Loss_D_real: -0.012593 Loss_D_fake 0.006210
[1687/5000][220/535][174152] Loss_D: -0.018331 Loss_G: 0.020332 Loss_D_real: -0.015559 Loss_D_fake 0.002772
[1687/5000][225/535][174153] Loss_D: -0.019220 Loss_G: 0.009907 Loss_D_real: -0.012741 Loss_D_fake 0.006479
[1687/5000][230/535][174154] Loss_D: -0.018979 Loss_G: 0.010060 Loss_D_real: -0.010121 Loss_D_fake 0.008858
[1687/5000][235/535][174155] Loss_D: -0.019695 Loss_G: 0.001794 Loss_D_real: -0.021434 Loss_D_fake -0.001740
[1687/5000][240/535][174156] Loss_D: -0.016791 Loss_G: 0.020636 Loss_D_real: -0.023315 Loss_D_fake -0.006524
[1687/5000][245/535][174157] Loss_D: -0.020335 Loss_G: 0.007615 Loss_D_real: -0.021761 Loss_D_fake -0.001426
[1687/5000][250/535][174158] Loss_D: -0.018185 Loss_G: 0.004227 Loss_D_real: -0.004393 Loss_D_fake 0.013792
[1687/5000][255/535][174159] Loss_D: -0.018604 Loss_G: 0.021397 Loss_D_real: -0.031257 Loss_D_fake -0.012653
[1687/5000][260/535][174160] Loss_D: -0.018634 Loss_G: -0.002643 Loss_D_real: -0.004225 Loss_D_fake 0.014409
[1687/5000][265/535][174161] Loss_D: -0.020484 Loss_G: 0.007144 Loss_D_real: -0.008008 Loss_D_fake 0.012476
[1687/5000][270/535][174162] Loss_D: -0.018248 Loss_G: -0.005556 Loss_D_real: 0.002090 Loss_D_fake 0.020338
[1687/5000][275/535][174163] Loss_D: -0.019101 Loss_G: 0.014982 Loss_D_real: -0.017450 Loss_D_fake 0.001651
[1687/5000][280/535][174164] Loss_D: -0.018703 Loss_G: 0.010497 Loss_D_real: -0.018411 Loss_D_fake 0.000292
[1687/5000][285/535][174165] Loss_D: -0.017755 Loss_G: 0.020925 Loss_D_real: -0.021856 Loss_D_fake -0.004101
[1687/5000][290/535][174166] Loss_D: -0.018933 Loss_G: 0.001067 Loss_D_real: -0.008114 Loss_D_fake 0.010819
[1687/5000][295/535][174167] Loss_D: -0.017311 Loss_G: 0.010212 Loss_D_real: -0.014196 Loss_D_fake 0.003114
[1687/5000][300/535][174168] Loss_D: -0.017967 Loss_G: 0.024866 Loss_D_real: -0.025511 Loss_D_fake -0.007543
[1687/5000][305/535][174169] Loss_D: -0.017315 Loss_G: 0.013379 Loss_D_real: -0.039051 Loss_D_fake -0.021735
[1687/5000][310/535][174170] Loss_D: -0.019287 Loss_G: 0.012548 Loss_D_real: -0.015968 Loss_D_fake 0.003319
[1687/5000][315/535][174171] Loss_D: -0.016832 Loss_G: 0.005190 Loss_D_real: -0.022602 Loss_D_fake -0.005770
[1687/5000][320/535][174172] Loss_D: -0.018515 Loss_G: 0.012288 Loss_D_real: -0.025567 Loss_D_fake -0.007053
[1687/5000][325/535][174173] Loss_D: -0.020047 Loss_G: 0.008076 Loss_D_real: -0.014984 Loss_D_fake 0.005063
[1687/5000][330/535][174174] Loss_D: -0.018596 Loss_G: 0.025245 Loss_D_real: -0.019490 Loss_D_fake -0.000893
[1687/5000][335/535][174175] Loss_D: -0.017134 Loss_G: 0.013885 Loss_D_real: -0.027981 Loss_D_fake -0.010847
[1687/5000][340/535][174176] Loss_D: -0.018451 Loss_G: 0.002404 Loss_D_real: -0.013175 Loss_D_fake 0.005276
[1687/5000][345/535][174177] Loss_D: -0.018099 Loss_G: 0.009833 Loss_D_real: -0.012030 Loss_D_fake 0.006069
[1687/5000][350/535][174178] Loss_D: -0.018211 Loss_G: -0.006379 Loss_D_real: -0.005020 Loss_D_fake 0.013192
[1687/5000][355/535][174179] Loss_D: -0.019003 Loss_G: 0.006314 Loss_D_real: -0.013345 Loss_D_fake 0.005659
[1687/5000][360/535][174180] Loss_D: -0.018507 Loss_G: -0.009918 Loss_D_real: -0.005065 Loss_D_fake 0.013442
[1687/5000][365/535][174181] Loss_D: -0.019522 Loss_G: 0.004569 Loss_D_real: -0.018842 Loss_D_fake 0.000681
[1687/5000][370/535][174182] Loss_D: -0.019183 Loss_G: 0.006668 Loss_D_real: -0.018892 Loss_D_fake 0.000291
[1687/5000][375/535][174183] Loss_D: -0.016097 Loss_G: 0.027787 Loss_D_real: -0.018971 Loss_D_fake -0.002874
[1687/5000][380/535][174184] Loss_D: -0.019577 Loss_G: -0.000987 Loss_D_real: -0.015467 Loss_D_fake 0.004109
[1687/5000][385/535][174185] Loss_D: -0.017743 Loss_G: 0.008695 Loss_D_real: -0.021648 Loss_D_fake -0.003906
[1687/5000][390/535][174186] Loss_D: -0.019165 Loss_G: 0.001412 Loss_D_real: -0.003285 Loss_D_fake 0.015881
[1687/5000][395/535][174187] Loss_D: -0.018273 Loss_G: -0.004722 Loss_D_real: -0.007430 Loss_D_fake 0.010844
[1687/5000][400/535][174188] Loss_D: -0.018684 Loss_G: -0.006519 Loss_D_real: -0.012008 Loss_D_fake 0.006676
[1687/5000][405/535][174189] Loss_D: -0.018015 Loss_G: 0.021874 Loss_D_real: -0.026327 Loss_D_fake -0.008311
[1687/5000][410/535][174190] Loss_D: -0.017372 Loss_G: -0.002030 Loss_D_real: 0.016680 Loss_D_fake 0.034052
[1687/5000][415/535][174191] Loss_D: -0.018515 Loss_G: -0.000186 Loss_D_real: -0.019635 Loss_D_fake -0.001120
[1687/5000][420/535][174192] Loss_D: -0.018514 Loss_G: 0.013759 Loss_D_real: -0.029442 Loss_D_fake -0.010927
[1687/5000][425/535][174193] Loss_D: -0.019170 Loss_G: 0.000675 Loss_D_real: -0.021828 Loss_D_fake -0.002658
[1687/5000][430/535][174194] Loss_D: -0.019103 Loss_G: -0.010976 Loss_D_real: -0.011987 Loss_D_fake 0.007116
[1687/5000][435/535][174195] Loss_D: -0.019101 Loss_G: 0.009980 Loss_D_real: -0.020986 Loss_D_fake -0.001885
[1687/5000][440/535][174196] Loss_D: -0.018553 Loss_G: -0.011167 Loss_D_real: -0.005257 Loss_D_fake 0.013295
[1687/5000][445/535][174197] Loss_D: -0.018559 Loss_G: 0.003270 Loss_D_real: -0.007823 Loss_D_fake 0.010736
[1687/5000][450/535][174198] Loss_D: -0.020290 Loss_G: 0.021728 Loss_D_real: -0.013107 Loss_D_fake 0.007183
[1687/5000][455/535][174199] Loss_D: -0.018980 Loss_G: 0.001701 Loss_D_real: -0.010835 Loss_D_fake 0.008145
[1687/5000][460/535][174200] Loss_D: -0.018603 Loss_G: -0.005297 Loss_D_real: -0.004845 Loss_D_fake 0.013758
[1687/5000][465/535][174201] Loss_D: -0.019588 Loss_G: 0.012750 Loss_D_real: -0.023519 Loss_D_fake -0.003931
[1687/5000][470/535][174202] Loss_D: -0.018944 Loss_G: 0.018785 Loss_D_real: -0.028671 Loss_D_fake -0.009727
[1687/5000][475/535][174203] Loss_D: -0.018636 Loss_G: 0.003703 Loss_D_real: -0.016642 Loss_D_fake 0.001994
[1687/5000][480/535][174204] Loss_D: -0.018129 Loss_G: 0.020477 Loss_D_real: -0.025585 Loss_D_fake -0.007456
[1687/5000][485/535][174205] Loss_D: -0.019208 Loss_G: 0.019927 Loss_D_real: -0.016995 Loss_D_fake 0.002214
[1687/5000][490/535][174206] Loss_D: -0.019057 Loss_G: 0.020590 Loss_D_real: -0.020327 Loss_D_fake -0.001271
[1687/5000][495/535][174207] Loss_D: -0.018644 Loss_G: 0.018219 Loss_D_real: -0.008331 Loss_D_fake 0.010313
[1687/5000][500/535][174208] Loss_D: -0.019410 Loss_G: 0.010724 Loss_D_real: -0.019316 Loss_D_fake 0.000093
[1687/5000][505/535][174209] Loss_D: -0.018926 Loss_G: 0.031726 Loss_D_real: -0.021021 Loss_D_fake -0.002095
[1687/5000][510/535][174210] Loss_D: -0.019008 Loss_G: 0.016387 Loss_D_real: -0.019549 Loss_D_fake -0.000541
[1687/5000][515/535][174211] Loss_D: -0.018967 Loss_G: -0.002355 Loss_D_real: -0.017562 Loss_D_fake 0.001405
[1687/5000][520/535][174212] Loss_D: -0.019383 Loss_G: 0.001641 Loss_D_real: -0.022101 Loss_D_fake -0.002719
[1687/5000][525/535][174213] Loss_D: -0.018295 Loss_G: 0.009302 Loss_D_real: -0.019711 Loss_D_fake -0.001416
[1687/5000][530/535][174214] Loss_D: -0.018652 Loss_G: 0.013749 Loss_D_real: -0.020219 Loss_D_fake -0.001566
[1687/5000][535/535][174215] Loss_D: -0.017394 Loss_G: 0.028297 Loss_D_real: -0.019009 Loss_D_fake -0.001615
[1688/5000][5/535][174216] Loss_D: -0.019387 Loss_G: 0.002522 Loss_D_real: -0.025661 Loss_D_fake -0.006273
[1688/5000][10/535][174217] Loss_D: -0.017389 Loss_G: 0.037617 Loss_D_real: -0.019846 Loss_D_fake -0.002457
[1688/5000][15/535][174218] Loss_D: -0.017392 Loss_G: 0.010098 Loss_D_real: -0.012658 Loss_D_fake 0.004734
[1688/5000][20/535][174219] Loss_D: -0.018159 Loss_G: -0.013942 Loss_D_real: -0.006972 Loss_D_fake 0.011186
[1688/5000][25/535][174220] Loss_D: -0.017582 Loss_G: 0.029560 Loss_D_real: -0.029807 Loss_D_fake -0.012225
[1688/5000][30/535][174221] Loss_D: -0.017377 Loss_G: -0.007641 Loss_D_real: -0.001153 Loss_D_fake 0.016224
[1688/5000][35/535][174222] Loss_D: -0.018649 Loss_G: -0.004925 Loss_D_real: 0.001082 Loss_D_fake 0.019731
[1688/5000][40/535][174223] Loss_D: -0.018103 Loss_G: -0.003936 Loss_D_real: -0.024495 Loss_D_fake -0.006392
[1688/5000][45/535][174224] Loss_D: -0.019543 Loss_G: -0.008376 Loss_D_real: -0.005685 Loss_D_fake 0.013858
[1688/5000][50/535][174225] Loss_D: -0.017962 Loss_G: 0.018027 Loss_D_real: -0.029189 Loss_D_fake -0.011227
[1688/5000][55/535][174226] Loss_D: -0.018374 Loss_G: 0.018547 Loss_D_real: -0.031133 Loss_D_fake -0.012759
[1688/5000][60/535][174227] Loss_D: -0.017928 Loss_G: 0.015614 Loss_D_real: -0.026380 Loss_D_fake -0.008452
[1688/5000][65/535][174228] Loss_D: -0.018957 Loss_G: 0.015167 Loss_D_real: -0.008051 Loss_D_fake 0.010907
[1688/5000][70/535][174229] Loss_D: -0.017775 Loss_G: -0.008829 Loss_D_real: -0.007464 Loss_D_fake 0.010310
[1688/5000][75/535][174230] Loss_D: -0.019460 Loss_G: 0.001406 Loss_D_real: -0.016285 Loss_D_fake 0.003175
[1688/5000][80/535][174231] Loss_D: -0.019238 Loss_G: 0.012795 Loss_D_real: -0.019275 Loss_D_fake -0.000037
[1688/5000][85/535][174232] Loss_D: -0.018971 Loss_G: 0.005587 Loss_D_real: -0.009514 Loss_D_fake 0.009457
[1688/5000][90/535][174233] Loss_D: -0.017810 Loss_G: 0.011216 Loss_D_real: -0.028071 Loss_D_fake -0.010261
[1688/5000][95/535][174234] Loss_D: -0.018327 Loss_G: 0.020082 Loss_D_real: -0.027173 Loss_D_fake -0.008846
[1688/5000][100/535][174235] Loss_D: -0.018866 Loss_G: -0.003077 Loss_D_real: -0.000771 Loss_D_fake 0.018095
[1688/5000][105/535][174236] Loss_D: -0.018556 Loss_G: -0.004267 Loss_D_real: -0.015381 Loss_D_fake 0.003175
[1688/5000][110/535][174237] Loss_D: -0.018106 Loss_G: 0.023089 Loss_D_real: -0.013930 Loss_D_fake 0.004176
[1688/5000][115/535][174238] Loss_D: -0.018617 Loss_G: -0.008813 Loss_D_real: -0.006119 Loss_D_fake 0.012498
[1688/5000][120/535][174239] Loss_D: -0.019781 Loss_G: 0.012834 Loss_D_real: -0.004834 Loss_D_fake 0.014948
[1688/5000][125/535][174240] Loss_D: -0.018856 Loss_G: 0.020086 Loss_D_real: -0.017768 Loss_D_fake 0.001089
[1688/5000][130/535][174241] Loss_D: -0.019797 Loss_G: 0.003361 Loss_D_real: -0.016702 Loss_D_fake 0.003096
[1688/5000][135/535][174242] Loss_D: -0.016551 Loss_G: 0.012824 Loss_D_real: -0.013295 Loss_D_fake 0.003256
[1688/5000][140/535][174243] Loss_D: -0.017329 Loss_G: 0.005082 Loss_D_real: 0.000257 Loss_D_fake 0.017586
[1688/5000][145/535][174244] Loss_D: -0.018105 Loss_G: 0.010923 Loss_D_real: -0.038332 Loss_D_fake -0.020228
[1688/5000][150/535][174245] Loss_D: -0.019184 Loss_G: -0.014527 Loss_D_real: -0.004827 Loss_D_fake 0.014357
[1688/5000][155/535][174246] Loss_D: -0.019172 Loss_G: 0.015190 Loss_D_real: -0.013313 Loss_D_fake 0.005860
[1688/5000][160/535][174247] Loss_D: -0.019923 Loss_G: 0.018849 Loss_D_real: -0.013816 Loss_D_fake 0.006107
[1688/5000][165/535][174248] Loss_D: -0.019726 Loss_G: 0.005676 Loss_D_real: -0.016366 Loss_D_fake 0.003361
[1688/5000][170/535][174249] Loss_D: -0.019200 Loss_G: 0.005550 Loss_D_real: -0.012218 Loss_D_fake 0.006982
[1688/5000][175/535][174250] Loss_D: -0.017731 Loss_G: 0.014331 Loss_D_real: -0.022180 Loss_D_fake -0.004449
[1688/5000][180/535][174251] Loss_D: -0.018824 Loss_G: 0.011817 Loss_D_real: -0.019870 Loss_D_fake -0.001046
[1688/5000][185/535][174252] Loss_D: -0.019182 Loss_G: 0.008417 Loss_D_real: -0.007861 Loss_D_fake 0.011321
[1688/5000][190/535][174253] Loss_D: -0.018068 Loss_G: 0.003280 Loss_D_real: -0.010535 Loss_D_fake 0.007534
[1688/5000][195/535][174254] Loss_D: -0.018845 Loss_G: -0.003702 Loss_D_real: -0.012399 Loss_D_fake 0.006446
[1688/5000][200/535][174255] Loss_D: -0.018926 Loss_G: -0.000593 Loss_D_real: -0.004019 Loss_D_fake 0.014906
[1688/5000][205/535][174256] Loss_D: -0.018603 Loss_G: 0.015409 Loss_D_real: -0.022689 Loss_D_fake -0.004087
[1688/5000][210/535][174257] Loss_D: -0.018197 Loss_G: -0.002945 Loss_D_real: -0.008187 Loss_D_fake 0.010010
[1688/5000][215/535][174258] Loss_D: -0.018850 Loss_G: 0.006170 Loss_D_real: -0.021948 Loss_D_fake -0.003098
[1688/5000][220/535][174259] Loss_D: -0.018689 Loss_G: 0.009171 Loss_D_real: -0.011903 Loss_D_fake 0.006786
[1688/5000][225/535][174260] Loss_D: -0.018659 Loss_G: 0.023955 Loss_D_real: -0.022163 Loss_D_fake -0.003504
[1688/5000][230/535][174261] Loss_D: -0.019458 Loss_G: 0.020769 Loss_D_real: -0.013319 Loss_D_fake 0.006139
[1688/5000][235/535][174262] Loss_D: -0.016139 Loss_G: 0.026469 Loss_D_real: -0.034423 Loss_D_fake -0.018284
[1688/5000][240/535][174263] Loss_D: -0.018103 Loss_G: 0.022726 Loss_D_real: -0.032385 Loss_D_fake -0.014281
[1688/5000][245/535][174264] Loss_D: -0.019799 Loss_G: 0.008057 Loss_D_real: -0.013561 Loss_D_fake 0.006238
[1688/5000][250/535][174265] Loss_D: -0.018872 Loss_G: 0.022407 Loss_D_real: -0.019869 Loss_D_fake -0.000998
[1688/5000][255/535][174266] Loss_D: -0.018957 Loss_G: -0.013231 Loss_D_real: -0.023997 Loss_D_fake -0.005040
[1688/5000][260/535][174267] Loss_D: -0.017727 Loss_G: 0.007342 Loss_D_real: -0.003940 Loss_D_fake 0.013787
[1688/5000][265/535][174268] Loss_D: -0.018368 Loss_G: 0.011939 Loss_D_real: -0.010485 Loss_D_fake 0.007884
[1688/5000][270/535][174269] Loss_D: -0.019304 Loss_G: 0.000396 Loss_D_real: -0.001113 Loss_D_fake 0.018190
[1688/5000][275/535][174270] Loss_D: -0.018807 Loss_G: 0.003139 Loss_D_real: -0.016745 Loss_D_fake 0.002062
[1688/5000][280/535][174271] Loss_D: -0.018890 Loss_G: 0.009280 Loss_D_real: -0.015314 Loss_D_fake 0.003576
[1688/5000][285/535][174272] Loss_D: -0.018472 Loss_G: 0.000525 Loss_D_real: -0.008388 Loss_D_fake 0.010084
[1688/5000][290/535][174273] Loss_D: -0.019279 Loss_G: 0.001204 Loss_D_real: -0.017438 Loss_D_fake 0.001841
[1688/5000][295/535][174274] Loss_D: -0.019846 Loss_G: 0.008094 Loss_D_real: -0.011322 Loss_D_fake 0.008524
[1688/5000][300/535][174275] Loss_D: -0.018617 Loss_G: 0.012154 Loss_D_real: -0.027533 Loss_D_fake -0.008916
[1688/5000][305/535][174276] Loss_D: -0.018553 Loss_G: 0.006822 Loss_D_real: -0.007553 Loss_D_fake 0.011000
[1688/5000][310/535][174277] Loss_D: -0.017461 Loss_G: 0.021830 Loss_D_real: -0.027865 Loss_D_fake -0.010404
[1688/5000][315/535][174278] Loss_D: -0.018541 Loss_G: 0.010184 Loss_D_real: -0.005700 Loss_D_fake 0.012841
[1688/5000][320/535][174279] Loss_D: -0.019492 Loss_G: 0.017346 Loss_D_real: -0.023536 Loss_D_fake -0.004044
[1688/5000][325/535][174280] Loss_D: -0.020053 Loss_G: 0.002276 Loss_D_real: 0.001186 Loss_D_fake 0.021239
[1688/5000][330/535][174281] Loss_D: -0.019155 Loss_G: 0.012872 Loss_D_real: -0.021578 Loss_D_fake -0.002422
[1688/5000][335/535][174282] Loss_D: -0.018761 Loss_G: 0.008788 Loss_D_real: -0.018340 Loss_D_fake 0.000421
[1688/5000][340/535][174283] Loss_D: -0.018595 Loss_G: 0.021540 Loss_D_real: -0.014297 Loss_D_fake 0.004298
[1688/5000][345/535][174284] Loss_D: -0.017967 Loss_G: -0.018889 Loss_D_real: -0.000326 Loss_D_fake 0.017642
[1688/5000][350/535][174285] Loss_D: -0.019472 Loss_G: -0.004375 Loss_D_real: -0.010044 Loss_D_fake 0.009428
[1688/5000][355/535][174286] Loss_D: -0.018981 Loss_G: -0.013765 Loss_D_real: -0.005906 Loss_D_fake 0.013075
[1688/5000][360/535][174287] Loss_D: -0.019019 Loss_G: -0.002482 Loss_D_real: -0.010554 Loss_D_fake 0.008466
[1688/5000][365/535][174288] Loss_D: -0.017744 Loss_G: 0.014392 Loss_D_real: -0.020054 Loss_D_fake -0.002310
[1688/5000][370/535][174289] Loss_D: -0.018455 Loss_G: -0.011759 Loss_D_real: 0.004814 Loss_D_fake 0.023270
[1688/5000][375/535][174290] Loss_D: -0.018687 Loss_G: 0.001737 Loss_D_real: -0.002221 Loss_D_fake 0.016466
[1688/5000][380/535][174291] Loss_D: -0.019032 Loss_G: -0.000282 Loss_D_real: -0.006844 Loss_D_fake 0.012188
[1688/5000][385/535][174292] Loss_D: -0.018829 Loss_G: 0.011700 Loss_D_real: -0.009366 Loss_D_fake 0.009463
[1688/5000][390/535][174293] Loss_D: -0.019337 Loss_G: 0.017949 Loss_D_real: -0.012082 Loss_D_fake 0.007255
[1688/5000][395/535][174294] Loss_D: -0.018641 Loss_G: 0.014948 Loss_D_real: -0.016855 Loss_D_fake 0.001786
[1688/5000][400/535][174295] Loss_D: -0.018197 Loss_G: -0.002564 Loss_D_real: -0.013485 Loss_D_fake 0.004712
[1688/5000][405/535][174296] Loss_D: -0.018624 Loss_G: 0.014280 Loss_D_real: -0.012771 Loss_D_fake 0.005854
[1688/5000][410/535][174297] Loss_D: -0.018267 Loss_G: 0.008578 Loss_D_real: -0.020768 Loss_D_fake -0.002501
[1688/5000][415/535][174298] Loss_D: -0.017749 Loss_G: -0.028378 Loss_D_real: 0.001108 Loss_D_fake 0.018857
[1688/5000][420/535][174299] Loss_D: -0.018413 Loss_G: 0.012204 Loss_D_real: -0.017913 Loss_D_fake 0.000500
[1688/5000][425/535][174300] Loss_D: -0.018002 Loss_G: 0.023009 Loss_D_real: -0.019051 Loss_D_fake -0.001049
[1688/5000][430/535][174301] Loss_D: -0.018555 Loss_G: -0.002103 Loss_D_real: -0.004857 Loss_D_fake 0.013699
[1688/5000][435/535][174302] Loss_D: -0.018631 Loss_G: 0.004087 Loss_D_real: -0.016706 Loss_D_fake 0.001925
[1688/5000][440/535][174303] Loss_D: -0.018605 Loss_G: 0.011944 Loss_D_real: -0.023217 Loss_D_fake -0.004612
[1688/5000][445/535][174304] Loss_D: -0.019491 Loss_G: 0.026557 Loss_D_real: -0.017903 Loss_D_fake 0.001588
[1688/5000][450/535][174305] Loss_D: -0.018138 Loss_G: -0.003683 Loss_D_real: -0.009422 Loss_D_fake 0.008715
[1688/5000][455/535][174306] Loss_D: -0.018109 Loss_G: 0.033344 Loss_D_real: -0.021091 Loss_D_fake -0.002981
[1688/5000][460/535][174307] Loss_D: -0.018365 Loss_G: 0.002628 Loss_D_real: -0.010799 Loss_D_fake 0.007566
[1688/5000][465/535][174308] Loss_D: -0.019300 Loss_G: -0.004593 Loss_D_real: -0.008728 Loss_D_fake 0.010572
[1688/5000][470/535][174309] Loss_D: -0.018969 Loss_G: 0.020616 Loss_D_real: -0.025457 Loss_D_fake -0.006488
[1688/5000][475/535][174310] Loss_D: -0.017964 Loss_G: 0.023933 Loss_D_real: -0.035722 Loss_D_fake -0.017759
[1688/5000][480/535][174311] Loss_D: -0.018899 Loss_G: 0.007879 Loss_D_real: -0.020323 Loss_D_fake -0.001423
[1688/5000][485/535][174312] Loss_D: -0.019066 Loss_G: 0.017663 Loss_D_real: -0.024346 Loss_D_fake -0.005280
[1688/5000][490/535][174313] Loss_D: -0.017713 Loss_G: 0.028268 Loss_D_real: -0.032551 Loss_D_fake -0.014838
[1688/5000][495/535][174314] Loss_D: -0.019084 Loss_G: 0.011900 Loss_D_real: -0.023189 Loss_D_fake -0.004105
[1688/5000][500/535][174315] Loss_D: -0.017584 Loss_G: -0.009728 Loss_D_real: 0.002308 Loss_D_fake 0.019892
[1688/5000][505/535][174316] Loss_D: -0.018224 Loss_G: 0.020122 Loss_D_real: -0.019000 Loss_D_fake -0.000777
[1688/5000][510/535][174317] Loss_D: -0.018453 Loss_G: -0.003574 Loss_D_real: -0.008707 Loss_D_fake 0.009746
[1688/5000][515/535][174318] Loss_D: -0.018642 Loss_G: 0.003669 Loss_D_real: -0.017159 Loss_D_fake 0.001483
[1688/5000][520/535][174319] Loss_D: -0.018787 Loss_G: 0.020256 Loss_D_real: -0.018056 Loss_D_fake 0.000731
[1688/5000][525/535][174320] Loss_D: -0.017864 Loss_G: 0.000741 Loss_D_real: -0.017035 Loss_D_fake 0.000829
[1688/5000][530/535][174321] Loss_D: -0.019567 Loss_G: -0.004347 Loss_D_real: -0.008904 Loss_D_fake 0.010663
[1688/5000][535/535][174322] Loss_D: -0.019727 Loss_G: 0.051970 Loss_D_real: -0.023870 Loss_D_fake -0.004143
[1689/5000][5/535][174323] Loss_D: -0.018230 Loss_G: 0.016097 Loss_D_real: -0.022844 Loss_D_fake -0.004614
[1689/5000][10/535][174324] Loss_D: -0.019436 Loss_G: 0.014427 Loss_D_real: -0.008757 Loss_D_fake 0.010679
[1689/5000][15/535][174325] Loss_D: -0.018295 Loss_G: 0.014131 Loss_D_real: -0.025845 Loss_D_fake -0.007550
[1689/5000][20/535][174326] Loss_D: -0.017688 Loss_G: 0.000658 Loss_D_real: 0.004357 Loss_D_fake 0.022045
[1689/5000][25/535][174327] Loss_D: -0.019428 Loss_G: 0.012179 Loss_D_real: -0.028995 Loss_D_fake -0.009567
[1689/5000][30/535][174328] Loss_D: -0.019400 Loss_G: 0.002610 Loss_D_real: -0.014468 Loss_D_fake 0.004932
[1689/5000][35/535][174329] Loss_D: -0.019577 Loss_G: 0.018264 Loss_D_real: -0.014638 Loss_D_fake 0.004939
[1689/5000][40/535][174330] Loss_D: -0.018004 Loss_G: 0.021343 Loss_D_real: -0.041160 Loss_D_fake -0.023156
[1689/5000][45/535][174331] Loss_D: -0.018820 Loss_G: 0.008888 Loss_D_real: -0.023121 Loss_D_fake -0.004301
[1689/5000][50/535][174332] Loss_D: -0.020198 Loss_G: 0.004097 Loss_D_real: -0.003793 Loss_D_fake 0.016405
[1689/5000][55/535][174333] Loss_D: -0.020039 Loss_G: 0.014021 Loss_D_real: -0.013279 Loss_D_fake 0.006761
[1689/5000][60/535][174334] Loss_D: -0.018338 Loss_G: -0.010093 Loss_D_real: -0.005550 Loss_D_fake 0.012789
[1689/5000][65/535][174335] Loss_D: -0.019013 Loss_G: 0.001716 Loss_D_real: -0.002734 Loss_D_fake 0.016279
[1689/5000][70/535][174336] Loss_D: -0.018344 Loss_G: 0.015411 Loss_D_real: -0.024493 Loss_D_fake -0.006148
[1689/5000][75/535][174337] Loss_D: -0.018779 Loss_G: 0.010617 Loss_D_real: -0.023311 Loss_D_fake -0.004533
[1689/5000][80/535][174338] Loss_D: -0.018763 Loss_G: -0.004657 Loss_D_real: -0.012590 Loss_D_fake 0.006172
[1689/5000][85/535][174339] Loss_D: -0.018085 Loss_G: 0.014762 Loss_D_real: -0.024673 Loss_D_fake -0.006588
[1689/5000][90/535][174340] Loss_D: -0.018866 Loss_G: -0.007082 Loss_D_real: -0.011249 Loss_D_fake 0.007616
[1689/5000][95/535][174341] Loss_D: -0.017582 Loss_G: 0.007633 Loss_D_real: -0.007705 Loss_D_fake 0.009876
[1689/5000][100/535][174342] Loss_D: -0.018379 Loss_G: 0.020019 Loss_D_real: -0.015709 Loss_D_fake 0.002670
[1689/5000][105/535][174343] Loss_D: -0.016920 Loss_G: 0.024072 Loss_D_real: -0.029698 Loss_D_fake -0.012777
[1689/5000][110/535][174344] Loss_D: -0.018655 Loss_G: 0.015699 Loss_D_real: -0.022541 Loss_D_fake -0.003886
[1689/5000][115/535][174345] Loss_D: -0.020063 Loss_G: 0.012322 Loss_D_real: -0.015043 Loss_D_fake 0.005020
[1689/5000][120/535][174346] Loss_D: -0.018984 Loss_G: 0.010072 Loss_D_real: -0.020351 Loss_D_fake -0.001367
[1689/5000][125/535][174347] Loss_D: -0.020147 Loss_G: 0.024921 Loss_D_real: -0.018395 Loss_D_fake 0.001752
[1689/5000][130/535][174348] Loss_D: -0.018012 Loss_G: -0.003138 Loss_D_real: -0.008209 Loss_D_fake 0.009803
[1689/5000][135/535][174349] Loss_D: -0.018189 Loss_G: -0.006208 Loss_D_real: -0.002101 Loss_D_fake 0.016088
[1689/5000][140/535][174350] Loss_D: -0.018850 Loss_G: -0.006959 Loss_D_real: -0.010428 Loss_D_fake 0.008422
[1689/5000][145/535][174351] Loss_D: -0.017988 Loss_G: 0.032987 Loss_D_real: -0.027291 Loss_D_fake -0.009303
[1689/5000][150/535][174352] Loss_D: -0.018145 Loss_G: 0.012631 Loss_D_real: -0.022892 Loss_D_fake -0.004747
[1689/5000][155/535][174353] Loss_D: -0.018396 Loss_G: 0.010821 Loss_D_real: -0.031425 Loss_D_fake -0.013029
[1689/5000][160/535][174354] Loss_D: -0.019454 Loss_G: -0.007801 Loss_D_real: -0.010475 Loss_D_fake 0.008979
[1689/5000][165/535][174355] Loss_D: -0.018458 Loss_G: 0.009527 Loss_D_real: -0.024650 Loss_D_fake -0.006192
[1689/5000][170/535][174356] Loss_D: -0.019923 Loss_G: 0.007128 Loss_D_real: -0.005133 Loss_D_fake 0.014790
[1689/5000][175/535][174357] Loss_D: -0.017503 Loss_G: 0.014125 Loss_D_real: -0.024259 Loss_D_fake -0.006756
[1689/5000][180/535][174358] Loss_D: -0.019863 Loss_G: 0.008190 Loss_D_real: -0.009070 Loss_D_fake 0.010793
[1689/5000][185/535][174359] Loss_D: -0.019102 Loss_G: 0.003492 Loss_D_real: -0.011717 Loss_D_fake 0.007386
[1689/5000][190/535][174360] Loss_D: -0.017540 Loss_G: -0.011994 Loss_D_real: -0.006432 Loss_D_fake 0.011108
[1689/5000][195/535][174361] Loss_D: -0.019506 Loss_G: 0.017368 Loss_D_real: -0.019972 Loss_D_fake -0.000466
[1689/5000][200/535][174362] Loss_D: -0.019406 Loss_G: 0.003090 Loss_D_real: -0.005154 Loss_D_fake 0.014252
[1689/5000][205/535][174363] Loss_D: -0.019344 Loss_G: 0.006607 Loss_D_real: -0.023434 Loss_D_fake -0.004090
[1689/5000][210/535][174364] Loss_D: -0.018893 Loss_G: -0.007542 Loss_D_real: -0.006785 Loss_D_fake 0.012109
[1689/5000][215/535][174365] Loss_D: -0.018056 Loss_G: 0.014561 Loss_D_real: -0.032538 Loss_D_fake -0.014482
[1689/5000][220/535][174366] Loss_D: -0.018789 Loss_G: -0.001485 Loss_D_real: 0.001379 Loss_D_fake 0.020167
[1689/5000][225/535][174367] Loss_D: -0.017178 Loss_G: -0.005431 Loss_D_real: -0.003992 Loss_D_fake 0.013186
[1689/5000][230/535][174368] Loss_D: -0.018609 Loss_G: -0.010897 Loss_D_real: 0.011138 Loss_D_fake 0.029747
[1689/5000][235/535][174369] Loss_D: -0.018816 Loss_G: 0.006817 Loss_D_real: 0.004168 Loss_D_fake 0.022984
[1689/5000][240/535][174370] Loss_D: -0.019558 Loss_G: 0.004366 Loss_D_real: -0.005284 Loss_D_fake 0.014274
[1689/5000][245/535][174371] Loss_D: -0.017040 Loss_G: 0.030094 Loss_D_real: -0.036450 Loss_D_fake -0.019409
[1689/5000][250/535][174372] Loss_D: -0.019510 Loss_G: 0.015291 Loss_D_real: -0.011628 Loss_D_fake 0.007882
[1689/5000][255/535][174373] Loss_D: -0.017528 Loss_G: -0.009802 Loss_D_real: -0.016617 Loss_D_fake 0.000911
[1689/5000][260/535][174374] Loss_D: -0.017219 Loss_G: -0.013339 Loss_D_real: 0.003625 Loss_D_fake 0.020844
[1689/5000][265/535][174375] Loss_D: -0.016949 Loss_G: -0.006333 Loss_D_real: 0.008007 Loss_D_fake 0.024955
[1689/5000][270/535][174376] Loss_D: -0.017809 Loss_G: -0.004767 Loss_D_real: -0.013374 Loss_D_fake 0.004436
[1689/5000][275/535][174377] Loss_D: -0.018135 Loss_G: -0.000078 Loss_D_real: -0.004313 Loss_D_fake 0.013822
[1689/5000][280/535][174378] Loss_D: -0.016991 Loss_G: -0.009947 Loss_D_real: 0.012520 Loss_D_fake 0.029511
[1689/5000][285/535][174379] Loss_D: -0.019155 Loss_G: 0.000573 Loss_D_real: -0.007976 Loss_D_fake 0.011179
[1689/5000][290/535][174380] Loss_D: -0.018870 Loss_G: 0.002686 Loss_D_real: -0.013535 Loss_D_fake 0.005335
[1689/5000][295/535][174381] Loss_D: -0.018703 Loss_G: 0.027321 Loss_D_real: -0.024724 Loss_D_fake -0.006021
[1689/5000][300/535][174382] Loss_D: -0.019303 Loss_G: 0.010445 Loss_D_real: -0.012508 Loss_D_fake 0.006795
[1689/5000][305/535][174383] Loss_D: -0.018037 Loss_G: -0.003998 Loss_D_real: -0.021496 Loss_D_fake -0.003459
[1689/5000][310/535][174384] Loss_D: -0.017529 Loss_G: 0.011838 Loss_D_real: -0.016887 Loss_D_fake 0.000642
[1689/5000][315/535][174385] Loss_D: -0.019494 Loss_G: -0.007812 Loss_D_real: -0.008009 Loss_D_fake 0.011485
[1689/5000][320/535][174386] Loss_D: -0.018491 Loss_G: 0.023609 Loss_D_real: -0.016742 Loss_D_fake 0.001749
[1689/5000][325/535][174387] Loss_D: -0.019278 Loss_G: 0.013460 Loss_D_real: -0.015020 Loss_D_fake 0.004258
[1689/5000][330/535][174388] Loss_D: -0.018331 Loss_G: 0.009620 Loss_D_real: -0.000234 Loss_D_fake 0.018097
[1689/5000][335/535][174389] Loss_D: -0.018357 Loss_G: -0.002425 Loss_D_real: -0.008550 Loss_D_fake 0.009806
[1689/5000][340/535][174390] Loss_D: -0.017849 Loss_G: -0.017554 Loss_D_real: -0.004676 Loss_D_fake 0.013173
[1689/5000][345/535][174391] Loss_D: -0.018276 Loss_G: -0.003037 Loss_D_real: -0.012487 Loss_D_fake 0.005789
[1689/5000][350/535][174392] Loss_D: -0.018229 Loss_G: 0.024916 Loss_D_real: -0.022226 Loss_D_fake -0.003997
[1689/5000][355/535][174393] Loss_D: -0.018386 Loss_G: 0.000547 Loss_D_real: -0.009738 Loss_D_fake 0.008648
[1689/5000][360/535][174394] Loss_D: -0.018060 Loss_G: -0.007187 Loss_D_real: -0.009829 Loss_D_fake 0.008230
[1689/5000][365/535][174395] Loss_D: -0.019103 Loss_G: 0.020276 Loss_D_real: -0.031064 Loss_D_fake -0.011961
[1689/5000][370/535][174396] Loss_D: -0.018396 Loss_G: 0.020841 Loss_D_real: -0.026641 Loss_D_fake -0.008245
[1689/5000][375/535][174397] Loss_D: -0.019017 Loss_G: 0.005469 Loss_D_real: -0.014493 Loss_D_fake 0.004524
[1689/5000][380/535][174398] Loss_D: -0.018616 Loss_G: 0.007038 Loss_D_real: -0.012723 Loss_D_fake 0.005892
[1689/5000][385/535][174399] Loss_D: -0.019672 Loss_G: 0.002240 Loss_D_real: -0.006881 Loss_D_fake 0.012791
[1689/5000][390/535][174400] Loss_D: -0.018702 Loss_G: -0.010551 Loss_D_real: 0.002576 Loss_D_fake 0.021278
[1689/5000][395/535][174401] Loss_D: -0.018286 Loss_G: 0.026257 Loss_D_real: -0.015973 Loss_D_fake 0.002313
[1689/5000][400/535][174402] Loss_D: -0.018042 Loss_G: 0.017715 Loss_D_real: -0.025842 Loss_D_fake -0.007800
[1689/5000][405/535][174403] Loss_D: -0.019867 Loss_G: -0.000965 Loss_D_real: -0.023466 Loss_D_fake -0.003600
[1689/5000][410/535][174404] Loss_D: -0.018383 Loss_G: 0.007742 Loss_D_real: -0.002797 Loss_D_fake 0.015586
[1689/5000][415/535][174405] Loss_D: -0.018432 Loss_G: 0.007406 Loss_D_real: -0.014465 Loss_D_fake 0.003967
[1689/5000][420/535][174406] Loss_D: -0.019033 Loss_G: 0.005145 Loss_D_real: -0.009900 Loss_D_fake 0.009133
[1689/5000][425/535][174407] Loss_D: -0.018063 Loss_G: -0.012098 Loss_D_real: 0.007211 Loss_D_fake 0.025274
[1689/5000][430/535][174408] Loss_D: -0.017333 Loss_G: 0.027306 Loss_D_real: -0.024066 Loss_D_fake -0.006733
[1689/5000][435/535][174409] Loss_D: -0.018537 Loss_G: 0.009119 Loss_D_real: -0.010441 Loss_D_fake 0.008096
[1689/5000][440/535][174410] Loss_D: -0.018637 Loss_G: 0.020496 Loss_D_real: -0.011339 Loss_D_fake 0.007298
[1689/5000][445/535][174411] Loss_D: -0.018443 Loss_G: 0.000931 Loss_D_real: -0.009940 Loss_D_fake 0.008503
[1689/5000][450/535][174412] Loss_D: -0.016539 Loss_G: 0.027556 Loss_D_real: -0.026253 Loss_D_fake -0.009714
[1689/5000][455/535][174413] Loss_D: -0.018404 Loss_G: -0.009055 Loss_D_real: -0.015438 Loss_D_fake 0.002967
[1689/5000][460/535][174414] Loss_D: -0.018975 Loss_G: 0.005220 Loss_D_real: -0.021060 Loss_D_fake -0.002085
[1689/5000][465/535][174415] Loss_D: -0.017796 Loss_G: 0.009064 Loss_D_real: -0.024017 Loss_D_fake -0.006220
[1689/5000][470/535][174416] Loss_D: -0.020887 Loss_G: 0.009646 Loss_D_real: -0.026465 Loss_D_fake -0.005578
[1689/5000][475/535][174417] Loss_D: -0.019227 Loss_G: -0.014619 Loss_D_real: -0.007772 Loss_D_fake 0.011456
[1689/5000][480/535][174418] Loss_D: -0.019602 Loss_G: -0.000033 Loss_D_real: 0.000076 Loss_D_fake 0.019678
[1689/5000][485/535][174419] Loss_D: -0.018959 Loss_G: 0.012662 Loss_D_real: -0.005948 Loss_D_fake 0.013011
[1689/5000][490/535][174420] Loss_D: -0.019632 Loss_G: 0.010733 Loss_D_real: -0.011325 Loss_D_fake 0.008307
[1689/5000][495/535][174421] Loss_D: -0.019415 Loss_G: 0.011636 Loss_D_real: -0.026365 Loss_D_fake -0.006950
[1689/5000][500/535][174422] Loss_D: -0.017473 Loss_G: -0.014429 Loss_D_real: -0.002445 Loss_D_fake 0.015028
[1689/5000][505/535][174423] Loss_D: -0.019967 Loss_G: 0.005699 Loss_D_real: -0.006280 Loss_D_fake 0.013687
[1689/5000][510/535][174424] Loss_D: -0.019004 Loss_G: 0.016706 Loss_D_real: -0.019414 Loss_D_fake -0.000410
[1689/5000][515/535][174425] Loss_D: -0.020511 Loss_G: 0.021415 Loss_D_real: -0.013844 Loss_D_fake 0.006667
[1689/5000][520/535][174426] Loss_D: -0.017310 Loss_G: 0.010541 Loss_D_real: -0.002239 Loss_D_fake 0.015071
[1689/5000][525/535][174427] Loss_D: -0.018630 Loss_G: 0.014274 Loss_D_real: -0.025463 Loss_D_fake -0.006833
[1689/5000][530/535][174428] Loss_D: -0.019389 Loss_G: 0.009136 Loss_D_real: -0.016972 Loss_D_fake 0.002417
[1689/5000][535/535][174429] Loss_D: -0.014850 Loss_G: 0.000515 Loss_D_real: -0.021232 Loss_D_fake -0.006383
[1690/5000][5/535][174430] Loss_D: -0.019267 Loss_G: 0.006343 Loss_D_real: -0.013755 Loss_D_fake 0.005511
[1690/5000][10/535][174431] Loss_D: -0.019302 Loss_G: 0.010654 Loss_D_real: -0.019382 Loss_D_fake -0.000080
[1690/5000][15/535][174432] Loss_D: -0.019250 Loss_G: -0.000417 Loss_D_real: -0.028237 Loss_D_fake -0.008987
[1690/5000][20/535][174433] Loss_D: -0.016602 Loss_G: -0.001115 Loss_D_real: 0.000089 Loss_D_fake 0.016691
[1690/5000][25/535][174434] Loss_D: -0.018484 Loss_G: 0.016576 Loss_D_real: -0.025196 Loss_D_fake -0.006713
[1690/5000][30/535][174435] Loss_D: -0.019533 Loss_G: 0.003750 Loss_D_real: -0.003642 Loss_D_fake 0.015891
[1690/5000][35/535][174436] Loss_D: -0.017546 Loss_G: 0.008957 Loss_D_real: -0.031992 Loss_D_fake -0.014445
[1690/5000][40/535][174437] Loss_D: -0.019053 Loss_G: 0.001903 Loss_D_real: -0.017332 Loss_D_fake 0.001721
[1690/5000][45/535][174438] Loss_D: -0.019905 Loss_G: 0.030847 Loss_D_real: -0.024202 Loss_D_fake -0.004297
[1690/5000][50/535][174439] Loss_D: -0.019050 Loss_G: -0.012021 Loss_D_real: -0.009719 Loss_D_fake 0.009332
[1690/5000][55/535][174440] Loss_D: -0.018742 Loss_G: -0.000203 Loss_D_real: -0.010478 Loss_D_fake 0.008264
[1690/5000][60/535][174441] Loss_D: -0.018738 Loss_G: 0.008325 Loss_D_real: -0.004474 Loss_D_fake 0.014264
[1690/5000][65/535][174442] Loss_D: -0.019173 Loss_G: 0.009570 Loss_D_real: -0.016873 Loss_D_fake 0.002301
[1690/5000][70/535][174443] Loss_D: -0.018040 Loss_G: 0.017820 Loss_D_real: -0.015278 Loss_D_fake 0.002762
[1690/5000][75/535][174444] Loss_D: -0.020160 Loss_G: 0.011183 Loss_D_real: -0.005492 Loss_D_fake 0.014669
[1690/5000][80/535][174445] Loss_D: -0.018720 Loss_G: 0.020227 Loss_D_real: -0.021277 Loss_D_fake -0.002557
[1690/5000][85/535][174446] Loss_D: -0.019657 Loss_G: -0.001036 Loss_D_real: -0.022044 Loss_D_fake -0.002387
[1690/5000][90/535][174447] Loss_D: -0.019292 Loss_G: 0.010892 Loss_D_real: -0.013024 Loss_D_fake 0.006268
[1690/5000][95/535][174448] Loss_D: -0.018694 Loss_G: -0.002292 Loss_D_real: -0.011748 Loss_D_fake 0.006945
[1690/5000][100/535][174449] Loss_D: -0.016693 Loss_G: 0.000990 Loss_D_real: -0.038301 Loss_D_fake -0.021608
[1690/5000][105/535][174450] Loss_D: -0.018196 Loss_G: -0.005268 Loss_D_real: 0.004893 Loss_D_fake 0.023089
[1690/5000][110/535][174451] Loss_D: -0.018834 Loss_G: 0.008011 Loss_D_real: -0.019572 Loss_D_fake -0.000738
[1690/5000][115/535][174452] Loss_D: -0.016785 Loss_G: 0.028081 Loss_D_real: -0.026126 Loss_D_fake -0.009340
[1690/5000][120/535][174453] Loss_D: -0.019060 Loss_G: -0.001903 Loss_D_real: -0.007077 Loss_D_fake 0.011983
[1690/5000][125/535][174454] Loss_D: -0.019109 Loss_G: 0.008136 Loss_D_real: -0.008814 Loss_D_fake 0.010295
[1690/5000][130/535][174455] Loss_D: -0.017970 Loss_G: 0.010122 Loss_D_real: -0.015581 Loss_D_fake 0.002389
[1690/5000][135/535][174456] Loss_D: -0.019028 Loss_G: 0.004438 Loss_D_real: -0.012538 Loss_D_fake 0.006490
[1690/5000][140/535][174457] Loss_D: -0.020045 Loss_G: -0.005587 Loss_D_real: -0.014797 Loss_D_fake 0.005249
[1690/5000][145/535][174458] Loss_D: -0.018659 Loss_G: 0.000537 Loss_D_real: 0.008042 Loss_D_fake 0.026701
[1690/5000][150/535][174459] Loss_D: -0.019384 Loss_G: -0.001295 Loss_D_real: -0.018682 Loss_D_fake 0.000702
[1690/5000][155/535][174460] Loss_D: -0.018551 Loss_G: 0.014558 Loss_D_real: -0.018809 Loss_D_fake -0.000258
[1690/5000][160/535][174461] Loss_D: -0.017749 Loss_G: 0.006874 Loss_D_real: -0.020178 Loss_D_fake -0.002429
[1690/5000][165/535][174462] Loss_D: -0.017328 Loss_G: 0.000557 Loss_D_real: -0.005643 Loss_D_fake 0.011685
[1690/5000][170/535][174463] Loss_D: -0.018182 Loss_G: 0.019212 Loss_D_real: -0.003909 Loss_D_fake 0.014274
[1690/5000][175/535][174464] Loss_D: -0.017561 Loss_G: 0.014965 Loss_D_real: -0.029400 Loss_D_fake -0.011840
[1690/5000][180/535][174465] Loss_D: -0.019017 Loss_G: 0.011578 Loss_D_real: -0.022984 Loss_D_fake -0.003967
[1690/5000][185/535][174466] Loss_D: -0.018169 Loss_G: 0.018889 Loss_D_real: -0.029223 Loss_D_fake -0.011054
[1690/5000][190/535][174467] Loss_D: -0.018153 Loss_G: -0.009944 Loss_D_real: -0.015204 Loss_D_fake 0.002949
[1690/5000][195/535][174468] Loss_D: -0.017748 Loss_G: 0.005889 Loss_D_real: -0.004943 Loss_D_fake 0.012805
[1690/5000][200/535][174469] Loss_D: -0.018464 Loss_G: 0.008246 Loss_D_real: -0.023604 Loss_D_fake -0.005140
[1690/5000][205/535][174470] Loss_D: -0.019874 Loss_G: 0.021999 Loss_D_real: -0.018919 Loss_D_fake 0.000956
[1690/5000][210/535][174471] Loss_D: -0.019716 Loss_G: -0.003444 Loss_D_real: -0.011067 Loss_D_fake 0.008649
[1690/5000][215/535][174472] Loss_D: -0.018505 Loss_G: 0.012896 Loss_D_real: -0.015230 Loss_D_fake 0.003275
[1690/5000][220/535][174473] Loss_D: -0.018228 Loss_G: -0.007403 Loss_D_real: -0.015084 Loss_D_fake 0.003143
[1690/5000][225/535][174474] Loss_D: -0.017167 Loss_G: 0.019192 Loss_D_real: -0.035628 Loss_D_fake -0.018461
[1690/5000][230/535][174475] Loss_D: -0.017843 Loss_G: 0.030271 Loss_D_real: -0.032601 Loss_D_fake -0.014758
[1690/5000][235/535][174476] Loss_D: -0.018218 Loss_G: -0.025693 Loss_D_real: -0.010299 Loss_D_fake 0.007919
[1690/5000][240/535][174477] Loss_D: -0.017457 Loss_G: 0.029548 Loss_D_real: -0.022685 Loss_D_fake -0.005228
[1690/5000][245/535][174478] Loss_D: -0.018383 Loss_G: 0.005064 Loss_D_real: -0.008595 Loss_D_fake 0.009788
[1690/5000][250/535][174479] Loss_D: -0.018394 Loss_G: 0.013263 Loss_D_real: -0.025289 Loss_D_fake -0.006895
[1690/5000][255/535][174480] Loss_D: -0.018124 Loss_G: -0.004486 Loss_D_real: -0.009667 Loss_D_fake 0.008456
[1690/5000][260/535][174481] Loss_D: -0.016751 Loss_G: 0.023823 Loss_D_real: -0.023026 Loss_D_fake -0.006275
[1690/5000][265/535][174482] Loss_D: -0.017589 Loss_G: -0.011868 Loss_D_real: -0.011415 Loss_D_fake 0.006174
[1690/5000][270/535][174483] Loss_D: -0.019754 Loss_G: 0.014914 Loss_D_real: -0.008696 Loss_D_fake 0.011058
[1690/5000][275/535][174484] Loss_D: -0.016602 Loss_G: 0.021253 Loss_D_real: -0.026970 Loss_D_fake -0.010368
[1690/5000][280/535][174485] Loss_D: -0.019192 Loss_G: -0.003766 Loss_D_real: -0.012070 Loss_D_fake 0.007122
[1690/5000][285/535][174486] Loss_D: -0.018132 Loss_G: 0.026463 Loss_D_real: -0.025331 Loss_D_fake -0.007198
[1690/5000][290/535][174487] Loss_D: -0.018658 Loss_G: 0.004457 Loss_D_real: -0.013402 Loss_D_fake 0.005256
[1690/5000][295/535][174488] Loss_D: -0.019272 Loss_G: 0.010165 Loss_D_real: -0.016077 Loss_D_fake 0.003196
[1690/5000][300/535][174489] Loss_D: -0.018471 Loss_G: 0.002228 Loss_D_real: -0.009122 Loss_D_fake 0.009350
[1690/5000][305/535][174490] Loss_D: -0.018223 Loss_G: -0.004260 Loss_D_real: -0.019940 Loss_D_fake -0.001717
[1690/5000][310/535][174491] Loss_D: -0.019015 Loss_G: 0.011074 Loss_D_real: -0.017058 Loss_D_fake 0.001957
[1690/5000][315/535][174492] Loss_D: -0.019755 Loss_G: -0.002808 Loss_D_real: -0.002825 Loss_D_fake 0.016930
[1690/5000][320/535][174493] Loss_D: -0.019115 Loss_G: 0.023711 Loss_D_real: -0.025040 Loss_D_fake -0.005925
[1690/5000][325/535][174494] Loss_D: -0.017570 Loss_G: 0.010127 Loss_D_real: -0.004766 Loss_D_fake 0.012804
[1690/5000][330/535][174495] Loss_D: -0.018901 Loss_G: 0.004202 Loss_D_real: -0.012979 Loss_D_fake 0.005923
[1690/5000][335/535][174496] Loss_D: -0.018301 Loss_G: -0.001132 Loss_D_real: -0.012335 Loss_D_fake 0.005966
[1690/5000][340/535][174497] Loss_D: -0.018260 Loss_G: -0.023787 Loss_D_real: -0.010473 Loss_D_fake 0.007787
[1690/5000][345/535][174498] Loss_D: -0.017107 Loss_G: -0.002085 Loss_D_real: -0.007684 Loss_D_fake 0.009423
[1690/5000][350/535][174499] Loss_D: -0.018816 Loss_G: 0.016169 Loss_D_real: -0.012399 Loss_D_fake 0.006417
[1690/5000][355/535][174500] Loss_D: -0.018085 Loss_G: 0.015866 Loss_D_real: -0.025988 Loss_D_fake -0.007903
[1690/5000][455/535][174501] Loss_D: -0.018497 Loss_G: 0.023079 Loss_D_real: -0.014139 Loss_D_fake 0.004358
[1690/5000][460/535][174502] Loss_D: -0.017287 Loss_G: 0.009366 Loss_D_real: -0.025794 Loss_D_fake -0.008507
[1690/5000][465/535][174503] Loss_D: -0.016914 Loss_G: 0.013271 Loss_D_real: -0.014857 Loss_D_fake 0.002056
[1690/5000][470/535][174504] Loss_D: -0.018952 Loss_G: 0.001573 Loss_D_real: -0.009394 Loss_D_fake 0.009558
[1690/5000][475/535][174505] Loss_D: -0.017068 Loss_G: -0.009839 Loss_D_real: 0.008961 Loss_D_fake 0.026029
[1690/5000][480/535][174506] Loss_D: -0.016769 Loss_G: 0.012241 Loss_D_real: -0.023172 Loss_D_fake -0.006403
[1690/5000][485/535][174507] Loss_D: -0.018475 Loss_G: -0.008971 Loss_D_real: -0.008814 Loss_D_fake 0.009661
[1690/5000][490/535][174508] Loss_D: -0.018639 Loss_G: 0.008441 Loss_D_real: -0.024280 Loss_D_fake -0.005640
[1690/5000][495/535][174509] Loss_D: -0.018560 Loss_G: 0.010292 Loss_D_real: -0.017009 Loss_D_fake 0.001551
[1690/5000][500/535][174510] Loss_D: -0.016839 Loss_G: 0.006938 Loss_D_real: -0.033554 Loss_D_fake -0.016715
[1690/5000][505/535][174511] Loss_D: -0.019637 Loss_G: 0.008149 Loss_D_real: -0.015916 Loss_D_fake 0.003721
[1690/5000][510/535][174512] Loss_D: -0.019803 Loss_G: 0.018919 Loss_D_real: -0.030382 Loss_D_fake -0.010579
[1690/5000][515/535][174513] Loss_D: -0.018822 Loss_G: 0.002482 Loss_D_real: -0.013009 Loss_D_fake 0.005813
[1690/5000][520/535][174514] Loss_D: -0.018255 Loss_G: 0.024284 Loss_D_real: -0.012355 Loss_D_fake 0.005899
[1690/5000][525/535][174515] Loss_D: -0.018241 Loss_G: 0.008117 Loss_D_real: -0.012235 Loss_D_fake 0.006006
[1690/5000][530/535][174516] Loss_D: -0.018014 Loss_G: 0.012446 Loss_D_real: -0.020021 Loss_D_fake -0.002007
[1690/5000][535/535][174517] Loss_D: -0.020747 Loss_G: -0.008161 Loss_D_real: -0.013191 Loss_D_fake 0.007555
[1691/5000][5/535][174518] Loss_D: -0.018209 Loss_G: -0.024190 Loss_D_real: -0.005566 Loss_D_fake 0.012643
[1691/5000][10/535][174519] Loss_D: -0.018644 Loss_G: 0.010078 Loss_D_real: -0.014667 Loss_D_fake 0.003977
[1691/5000][15/535][174520] Loss_D: -0.018137 Loss_G: 0.007700 Loss_D_real: -0.020470 Loss_D_fake -0.002334
[1691/5000][20/535][174521] Loss_D: -0.019761 Loss_G: 0.020195 Loss_D_real: -0.020763 Loss_D_fake -0.001002
[1691/5000][25/535][174522] Loss_D: -0.017073 Loss_G: 0.027071 Loss_D_real: -0.032299 Loss_D_fake -0.015226
[1691/5000][30/535][174523] Loss_D: -0.017996 Loss_G: 0.012246 Loss_D_real: -0.000030 Loss_D_fake 0.017966
[1691/5000][35/535][174524] Loss_D: -0.017627 Loss_G: -0.007982 Loss_D_real: -0.003938 Loss_D_fake 0.013689
[1691/5000][40/535][174525] Loss_D: -0.017494 Loss_G: 0.006439 Loss_D_real: -0.030344 Loss_D_fake -0.012850
[1691/5000][45/535][174526] Loss_D: -0.017899 Loss_G: 0.018530 Loss_D_real: -0.020534 Loss_D_fake -0.002635
[1691/5000][50/535][174527] Loss_D: -0.017837 Loss_G: -0.010118 Loss_D_real: -0.001921 Loss_D_fake 0.015916
[1691/5000][55/535][174528] Loss_D: -0.018863 Loss_G: 0.017882 Loss_D_real: -0.024764 Loss_D_fake -0.005901
[1691/5000][60/535][174529] Loss_D: -0.017802 Loss_G: 0.000577 Loss_D_real: -0.011086 Loss_D_fake 0.006716
[1691/5000][65/535][174530] Loss_D: -0.017893 Loss_G: -0.009281 Loss_D_real: -0.006855 Loss_D_fake 0.011038
[1691/5000][70/535][174531] Loss_D: -0.019456 Loss_G: 0.001669 Loss_D_real: -0.004539 Loss_D_fake 0.014917
[1691/5000][75/535][174532] Loss_D: -0.018201 Loss_G: 0.003437 Loss_D_real: -0.013294 Loss_D_fake 0.004907
[1691/5000][80/535][174533] Loss_D: -0.017999 Loss_G: -0.000483 Loss_D_real: -0.004972 Loss_D_fake 0.013027
[1691/5000][85/535][174534] Loss_D: -0.017532 Loss_G: 0.008244 Loss_D_real: -0.014388 Loss_D_fake 0.003144
[1691/5000][90/535][174535] Loss_D: -0.018380 Loss_G: -0.010098 Loss_D_real: -0.006257 Loss_D_fake 0.012123
[1691/5000][95/535][174536] Loss_D: -0.017772 Loss_G: 0.012314 Loss_D_real: -0.012555 Loss_D_fake 0.005217
[1691/5000][100/535][174537] Loss_D: -0.016890 Loss_G: 0.018756 Loss_D_real: -0.022597 Loss_D_fake -0.005707
[1691/5000][105/535][174538] Loss_D: -0.019362 Loss_G: 0.028606 Loss_D_real: -0.022978 Loss_D_fake -0.003616
[1691/5000][110/535][174539] Loss_D: -0.018402 Loss_G: 0.005781 Loss_D_real: -0.012962 Loss_D_fake 0.005440
[1691/5000][115/535][174540] Loss_D: -0.017714 Loss_G: 0.009261 Loss_D_real: -0.016555 Loss_D_fake 0.001159
[1691/5000][120/535][174541] Loss_D: -0.018129 Loss_G: -0.002047 Loss_D_real: -0.012010 Loss_D_fake 0.006119
[1691/5000][125/535][174542] Loss_D: -0.017748 Loss_G: -0.000591 Loss_D_real: -0.006237 Loss_D_fake 0.011511
[1691/5000][130/535][174543] Loss_D: -0.017130 Loss_G: 0.012651 Loss_D_real: -0.019482 Loss_D_fake -0.002353
[1691/5000][135/535][174544] Loss_D: -0.017226 Loss_G: 0.009798 Loss_D_real: -0.017412 Loss_D_fake -0.000185
[1691/5000][140/535][174545] Loss_D: -0.018675 Loss_G: -0.009598 Loss_D_real: -0.004775 Loss_D_fake 0.013900
[1691/5000][145/535][174546] Loss_D: -0.018022 Loss_G: -0.007173 Loss_D_real: -0.014895 Loss_D_fake 0.003127
[1691/5000][150/535][174547] Loss_D: -0.019543 Loss_G: 0.017341 Loss_D_real: -0.029362 Loss_D_fake -0.009819
[1691/5000][155/535][174548] Loss_D: -0.018259 Loss_G: -0.015048 Loss_D_real: -0.003752 Loss_D_fake 0.014507
[1691/5000][160/535][174549] Loss_D: -0.017677 Loss_G: -0.006888 Loss_D_real: -0.008338 Loss_D_fake 0.009339
[1691/5000][165/535][174550] Loss_D: -0.018608 Loss_G: 0.016750 Loss_D_real: -0.023497 Loss_D_fake -0.004889
[1691/5000][170/535][174551] Loss_D: -0.018959 Loss_G: 0.013509 Loss_D_real: -0.019070 Loss_D_fake -0.000111
[1691/5000][175/535][174552] Loss_D: -0.018772 Loss_G: 0.004496 Loss_D_real: -0.019588 Loss_D_fake -0.000816
[1691/5000][180/535][174553] Loss_D: -0.019560 Loss_G: 0.006499 Loss_D_real: 0.003642 Loss_D_fake 0.023202
[1691/5000][185/535][174554] Loss_D: -0.018107 Loss_G: 0.000435 Loss_D_real: -0.022742 Loss_D_fake -0.004636
[1691/5000][190/535][174555] Loss_D: -0.018456 Loss_G: 0.030207 Loss_D_real: -0.022123 Loss_D_fake -0.003666
[1691/5000][195/535][174556] Loss_D: -0.020143 Loss_G: -0.000076 Loss_D_real: -0.013785 Loss_D_fake 0.006359
[1691/5000][200/535][174557] Loss_D: -0.018579 Loss_G: -0.005785 Loss_D_real: 0.006469 Loss_D_fake 0.025048
[1691/5000][205/535][174558] Loss_D: -0.017805 Loss_G: -0.007609 Loss_D_real: -0.004163 Loss_D_fake 0.013643
[1691/5000][210/535][174559] Loss_D: -0.019144 Loss_G: -0.000740 Loss_D_real: -0.012098 Loss_D_fake 0.007045
[1691/5000][215/535][174560] Loss_D: -0.019173 Loss_G: 0.016041 Loss_D_real: -0.016023 Loss_D_fake 0.003150
[1691/5000][220/535][174561] Loss_D: -0.019728 Loss_G: 0.007384 Loss_D_real: -0.038889 Loss_D_fake -0.019162
[1691/5000][225/535][174562] Loss_D: -0.017633 Loss_G: -0.011816 Loss_D_real: 0.003824 Loss_D_fake 0.021456
[1691/5000][230/535][174563] Loss_D: -0.018975 Loss_G: 0.006499 Loss_D_real: -0.018574 Loss_D_fake 0.000401
[1691/5000][235/535][174564] Loss_D: -0.019098 Loss_G: -0.000707 Loss_D_real: -0.012960 Loss_D_fake 0.006139
[1691/5000][240/535][174565] Loss_D: -0.018392 Loss_G: -0.001958 Loss_D_real: -0.020075 Loss_D_fake -0.001683
[1691/5000][245/535][174566] Loss_D: -0.018704 Loss_G: 0.021255 Loss_D_real: -0.016330 Loss_D_fake 0.002374
[1691/5000][250/535][174567] Loss_D: -0.018533 Loss_G: 0.020858 Loss_D_real: -0.026782 Loss_D_fake -0.008249
[1691/5000][255/535][174568] Loss_D: -0.019964 Loss_G: 0.012006 Loss_D_real: -0.016638 Loss_D_fake 0.003325
[1691/5000][260/535][174569] Loss_D: -0.020947 Loss_G: 0.026298 Loss_D_real: -0.021631 Loss_D_fake -0.000685
[1691/5000][265/535][174570] Loss_D: -0.018434 Loss_G: 0.014216 Loss_D_real: -0.018743 Loss_D_fake -0.000308
[1691/5000][270/535][174571] Loss_D: -0.017889 Loss_G: -0.007726 Loss_D_real: -0.000038 Loss_D_fake 0.017851
[1691/5000][275/535][174572] Loss_D: -0.018739 Loss_G: 0.007377 Loss_D_real: -0.015172 Loss_D_fake 0.003567
[1691/5000][280/535][174573] Loss_D: -0.019763 Loss_G: 0.009486 Loss_D_real: -0.016857 Loss_D_fake 0.002906
[1691/5000][285/535][174574] Loss_D: -0.018007 Loss_G: 0.007649 Loss_D_real: -0.013946 Loss_D_fake 0.004061
[1691/5000][290/535][174575] Loss_D: -0.020034 Loss_G: 0.012568 Loss_D_real: -0.019343 Loss_D_fake 0.000691
[1691/5000][295/535][174576] Loss_D: -0.018629 Loss_G: 0.005316 Loss_D_real: -0.004101 Loss_D_fake 0.014529
[1691/5000][300/535][174577] Loss_D: -0.018889 Loss_G: 0.006401 Loss_D_real: -0.016660 Loss_D_fake 0.002230
[1691/5000][305/535][174578] Loss_D: -0.018805 Loss_G: -0.002823 Loss_D_real: -0.003059 Loss_D_fake 0.015746
[1691/5000][310/535][174579] Loss_D: -0.018644 Loss_G: 0.022789 Loss_D_real: -0.024496 Loss_D_fake -0.005852
[1691/5000][315/535][174580] Loss_D: -0.018826 Loss_G: 0.006730 Loss_D_real: -0.005766 Loss_D_fake 0.013060
[1691/5000][320/535][174581] Loss_D: -0.018125 Loss_G: 0.004058 Loss_D_real: -0.013886 Loss_D_fake 0.004239
[1691/5000][325/535][174582] Loss_D: -0.019425 Loss_G: 0.010242 Loss_D_real: -0.004734 Loss_D_fake 0.014690
[1691/5000][330/535][174583] Loss_D: -0.018693 Loss_G: 0.004695 Loss_D_real: -0.013451 Loss_D_fake 0.005242
[1691/5000][335/535][174584] Loss_D: -0.018437 Loss_G: 0.021638 Loss_D_real: -0.020604 Loss_D_fake -0.002166
[1691/5000][340/535][174585] Loss_D: -0.019480 Loss_G: -0.002854 Loss_D_real: -0.009177 Loss_D_fake 0.010303
[1691/5000][345/535][174586] Loss_D: -0.017797 Loss_G: 0.010619 Loss_D_real: -0.027364 Loss_D_fake -0.009567
[1691/5000][350/535][174587] Loss_D: -0.019890 Loss_G: 0.006115 Loss_D_real: -0.010501 Loss_D_fake 0.009390
[1691/5000][355/535][174588] Loss_D: -0.018175 Loss_G: 0.014120 Loss_D_real: -0.030563 Loss_D_fake -0.012388
[1691/5000][360/535][174589] Loss_D: -0.017598 Loss_G: 0.009976 Loss_D_real: -0.016925 Loss_D_fake 0.000672
[1691/5000][365/535][174590] Loss_D: -0.018544 Loss_G: 0.011509 Loss_D_real: -0.022279 Loss_D_fake -0.003735
[1691/5000][370/535][174591] Loss_D: -0.017941 Loss_G: 0.017207 Loss_D_real: -0.018935 Loss_D_fake -0.000994
[1691/5000][375/535][174592] Loss_D: -0.017990 Loss_G: -0.006015 Loss_D_real: -0.016570 Loss_D_fake 0.001420
[1691/5000][380/535][174593] Loss_D: -0.019251 Loss_G: 0.011613 Loss_D_real: -0.015758 Loss_D_fake 0.003493
[1691/5000][385/535][174594] Loss_D: -0.017917 Loss_G: -0.009060 Loss_D_real: -0.001587 Loss_D_fake 0.016329
[1691/5000][390/535][174595] Loss_D: -0.018597 Loss_G: 0.016827 Loss_D_real: -0.018159 Loss_D_fake 0.000438
[1691/5000][395/535][174596] Loss_D: -0.019104 Loss_G: -0.009747 Loss_D_real: -0.004070 Loss_D_fake 0.015034
[1691/5000][400/535][174597] Loss_D: -0.016940 Loss_G: 0.024633 Loss_D_real: -0.027259 Loss_D_fake -0.010319
[1691/5000][405/535][174598] Loss_D: -0.017524 Loss_G: 0.007149 Loss_D_real: -0.008770 Loss_D_fake 0.008755
[1691/5000][410/535][174599] Loss_D: -0.019368 Loss_G: 0.013571 Loss_D_real: -0.023879 Loss_D_fake -0.004511
[1691/5000][415/535][174600] Loss_D: -0.019223 Loss_G: 0.015427 Loss_D_real: -0.020317 Loss_D_fake -0.001094
[1691/5000][420/535][174601] Loss_D: -0.019584 Loss_G: 0.015090 Loss_D_real: -0.005514 Loss_D_fake 0.014070
[1691/5000][425/535][174602] Loss_D: -0.017460 Loss_G: 0.010960 Loss_D_real: -0.022073 Loss_D_fake -0.004613
[1691/5000][430/535][174603] Loss_D: -0.019437 Loss_G: -0.001587 Loss_D_real: -0.016843 Loss_D_fake 0.002594
[1691/5000][435/535][174604] Loss_D: -0.018781 Loss_G: 0.009292 Loss_D_real: -0.001527 Loss_D_fake 0.017254
[1691/5000][440/535][174605] Loss_D: -0.018681 Loss_G: 0.001298 Loss_D_real: -0.026297 Loss_D_fake -0.007616
[1691/5000][445/535][174606] Loss_D: -0.018028 Loss_G: 0.011521 Loss_D_real: -0.016189 Loss_D_fake 0.001839
[1691/5000][450/535][174607] Loss_D: -0.018520 Loss_G: 0.025187 Loss_D_real: -0.026970 Loss_D_fake -0.008451
[1691/5000][455/535][174608] Loss_D: -0.018032 Loss_G: 0.010508 Loss_D_real: -0.019833 Loss_D_fake -0.001801
[1691/5000][460/535][174609] Loss_D: -0.016897 Loss_G: 0.029257 Loss_D_real: -0.031426 Loss_D_fake -0.014528
[1691/5000][465/535][174610] Loss_D: -0.018786 Loss_G: 0.000411 Loss_D_real: -0.011219 Loss_D_fake 0.007568
[1691/5000][470/535][174611] Loss_D: -0.018084 Loss_G: 0.023717 Loss_D_real: -0.024064 Loss_D_fake -0.005980
[1691/5000][475/535][174612] Loss_D: -0.015566 Loss_G: -0.009710 Loss_D_real: 0.018629 Loss_D_fake 0.034195
[1691/5000][480/535][174613] Loss_D: -0.017964 Loss_G: -0.015635 Loss_D_real: -0.013062 Loss_D_fake 0.004902
[1691/5000][485/535][174614] Loss_D: -0.018648 Loss_G: -0.010279 Loss_D_real: -0.001968 Loss_D_fake 0.016680
[1691/5000][490/535][174615] Loss_D: -0.019071 Loss_G: 0.027528 Loss_D_real: -0.038701 Loss_D_fake -0.019630
[1691/5000][495/535][174616] Loss_D: -0.019169 Loss_G: 0.013798 Loss_D_real: -0.013857 Loss_D_fake 0.005312
[1691/5000][500/535][174617] Loss_D: -0.018996 Loss_G: -0.006233 Loss_D_real: 0.002261 Loss_D_fake 0.021257
[1691/5000][505/535][174618] Loss_D: -0.017822 Loss_G: 0.012021 Loss_D_real: -0.015304 Loss_D_fake 0.002518
[1691/5000][510/535][174619] Loss_D: -0.017836 Loss_G: 0.014644 Loss_D_real: -0.032215 Loss_D_fake -0.014379
[1691/5000][515/535][174620] Loss_D: -0.019219 Loss_G: -0.007628 Loss_D_real: -0.018240 Loss_D_fake 0.000979
[1691/5000][520/535][174621] Loss_D: -0.019323 Loss_G: 0.008107 Loss_D_real: -0.006173 Loss_D_fake 0.013150
[1691/5000][525/535][174622] Loss_D: -0.019193 Loss_G: 0.014295 Loss_D_real: -0.020359 Loss_D_fake -0.001166
[1691/5000][530/535][174623] Loss_D: -0.019262 Loss_G: 0.011296 Loss_D_real: -0.025326 Loss_D_fake -0.006064
[1691/5000][535/535][174624] Loss_D: -0.017475 Loss_G: 0.043336 Loss_D_real: -0.013198 Loss_D_fake 0.004277
[1692/5000][5/535][174625] Loss_D: -0.019288 Loss_G: 0.003555 Loss_D_real: -0.028623 Loss_D_fake -0.009334
[1692/5000][10/535][174626] Loss_D: -0.018803 Loss_G: -0.009865 Loss_D_real: -0.005558 Loss_D_fake 0.013245
[1692/5000][15/535][174627] Loss_D: -0.017799 Loss_G: -0.016764 Loss_D_real: -0.002433 Loss_D_fake 0.015366
[1692/5000][20/535][174628] Loss_D: -0.018113 Loss_G: 0.024545 Loss_D_real: -0.027672 Loss_D_fake -0.009559
[1692/5000][25/535][174629] Loss_D: -0.018481 Loss_G: 0.026992 Loss_D_real: -0.017256 Loss_D_fake 0.001225
[1692/5000][30/535][174630] Loss_D: -0.018851 Loss_G: 0.016314 Loss_D_real: -0.022523 Loss_D_fake -0.003672
[1692/5000][35/535][174631] Loss_D: -0.019271 Loss_G: -0.009206 Loss_D_real: -0.009994 Loss_D_fake 0.009277
[1692/5000][40/535][174632] Loss_D: -0.019153 Loss_G: -0.001990 Loss_D_real: -0.009983 Loss_D_fake 0.009171
[1692/5000][45/535][174633] Loss_D: -0.018552 Loss_G: 0.004698 Loss_D_real: -0.009590 Loss_D_fake 0.008962
[1692/5000][50/535][174634] Loss_D: -0.019854 Loss_G: -0.012833 Loss_D_real: -0.008743 Loss_D_fake 0.011111
[1692/5000][55/535][174635] Loss_D: -0.017496 Loss_G: 0.014991 Loss_D_real: -0.027440 Loss_D_fake -0.009944
[1692/5000][60/535][174636] Loss_D: -0.019115 Loss_G: 0.008170 Loss_D_real: -0.007380 Loss_D_fake 0.011735
[1692/5000][65/535][174637] Loss_D: -0.019314 Loss_G: 0.015869 Loss_D_real: -0.008813 Loss_D_fake 0.010501
[1692/5000][70/535][174638] Loss_D: -0.018204 Loss_G: -0.009524 Loss_D_real: -0.005797 Loss_D_fake 0.012407
[1692/5000][75/535][174639] Loss_D: -0.018942 Loss_G: 0.013684 Loss_D_real: -0.025077 Loss_D_fake -0.006135
[1692/5000][80/535][174640] Loss_D: -0.018593 Loss_G: 0.008333 Loss_D_real: -0.012618 Loss_D_fake 0.005975
[1692/5000][85/535][174641] Loss_D: -0.018744 Loss_G: 0.013652 Loss_D_real: -0.017121 Loss_D_fake 0.001623
[1692/5000][90/535][174642] Loss_D: -0.019908 Loss_G: 0.016686 Loss_D_real: -0.033692 Loss_D_fake -0.013784
[1692/5000][95/535][174643] Loss_D: -0.019624 Loss_G: 0.020264 Loss_D_real: -0.017113 Loss_D_fake 0.002511
[1692/5000][100/535][174644] Loss_D: -0.019643 Loss_G: -0.009823 Loss_D_real: -0.008841 Loss_D_fake 0.010802
[1692/5000][105/535][174645] Loss_D: -0.019168 Loss_G: 0.016593 Loss_D_real: -0.021946 Loss_D_fake -0.002778
[1692/5000][110/535][174646] Loss_D: -0.018567 Loss_G: 0.022800 Loss_D_real: -0.013921 Loss_D_fake 0.004645
[1692/5000][115/535][174647] Loss_D: -0.017724 Loss_G: -0.013169 Loss_D_real: -0.006209 Loss_D_fake 0.011514
[1692/5000][120/535][174648] Loss_D: -0.019502 Loss_G: 0.006925 Loss_D_real: -0.025978 Loss_D_fake -0.006476
[1692/5000][125/535][174649] Loss_D: -0.018431 Loss_G: -0.018089 Loss_D_real: -0.009134 Loss_D_fake 0.009296
[1692/5000][130/535][174650] Loss_D: -0.020166 Loss_G: 0.021662 Loss_D_real: -0.012938 Loss_D_fake 0.007228
[1692/5000][135/535][174651] Loss_D: -0.018685 Loss_G: 0.009963 Loss_D_real: -0.003696 Loss_D_fake 0.014989
[1692/5000][140/535][174652] Loss_D: -0.017339 Loss_G: 0.009121 Loss_D_real: -0.017909 Loss_D_fake -0.000571
[1692/5000][145/535][174653] Loss_D: -0.018770 Loss_G: 0.008512 Loss_D_real: -0.021919 Loss_D_fake -0.003149
[1692/5000][150/535][174654] Loss_D: -0.017696 Loss_G: -0.005613 Loss_D_real: -0.001936 Loss_D_fake 0.015760
[1692/5000][155/535][174655] Loss_D: -0.017493 Loss_G: 0.017269 Loss_D_real: -0.016936 Loss_D_fake 0.000557
[1692/5000][160/535][174656] Loss_D: -0.018996 Loss_G: 0.010708 Loss_D_real: -0.005884 Loss_D_fake 0.013111
[1692/5000][165/535][174657] Loss_D: -0.018168 Loss_G: 0.001984 Loss_D_real: -0.004626 Loss_D_fake 0.013542
[1692/5000][170/535][174658] Loss_D: -0.018958 Loss_G: 0.004123 Loss_D_real: -0.025667 Loss_D_fake -0.006710
[1692/5000][175/535][174659] Loss_D: -0.017714 Loss_G: 0.013530 Loss_D_real: -0.014753 Loss_D_fake 0.002961
[1692/5000][180/535][174660] Loss_D: -0.018150 Loss_G: 0.031733 Loss_D_real: -0.036207 Loss_D_fake -0.018057
[1692/5000][185/535][174661] Loss_D: -0.018466 Loss_G: 0.021115 Loss_D_real: -0.016685 Loss_D_fake 0.001781
[1692/5000][190/535][174662] Loss_D: -0.018510 Loss_G: 0.000629 Loss_D_real: -0.016826 Loss_D_fake 0.001684
[1692/5000][195/535][174663] Loss_D: -0.017914 Loss_G: -0.001363 Loss_D_real: -0.011237 Loss_D_fake 0.006676
[1692/5000][200/535][174664] Loss_D: -0.018516 Loss_G: 0.004769 Loss_D_real: -0.024752 Loss_D_fake -0.006236
[1692/5000][205/535][174665] Loss_D: -0.018828 Loss_G: -0.002803 Loss_D_real: -0.017093 Loss_D_fake 0.001735
[1692/5000][210/535][174666] Loss_D: -0.018491 Loss_G: -0.012238 Loss_D_real: -0.006856 Loss_D_fake 0.011634
[1692/5000][215/535][174667] Loss_D: -0.019328 Loss_G: 0.013833 Loss_D_real: -0.028468 Loss_D_fake -0.009140
[1692/5000][220/535][174668] Loss_D: -0.019251 Loss_G: 0.001660 Loss_D_real: 0.004056 Loss_D_fake 0.023307
[1692/5000][225/535][174669] Loss_D: -0.019548 Loss_G: 0.017673 Loss_D_real: -0.029312 Loss_D_fake -0.009764
[1692/5000][230/535][174670] Loss_D: -0.017020 Loss_G: 0.032959 Loss_D_real: -0.019384 Loss_D_fake -0.002364
[1692/5000][235/535][174671] Loss_D: -0.019723 Loss_G: 0.013484 Loss_D_real: -0.019229 Loss_D_fake 0.000494
[1692/5000][240/535][174672] Loss_D: -0.019531 Loss_G: 0.007117 Loss_D_real: -0.020047 Loss_D_fake -0.000516
[1692/5000][245/535][174673] Loss_D: -0.018800 Loss_G: 0.004108 Loss_D_real: -0.016162 Loss_D_fake 0.002638
[1692/5000][250/535][174674] Loss_D: -0.018558 Loss_G: 0.007574 Loss_D_real: -0.001280 Loss_D_fake 0.017278
[1692/5000][255/535][174675] Loss_D: -0.019221 Loss_G: -0.009812 Loss_D_real: -0.008375 Loss_D_fake 0.010846
[1692/5000][260/535][174676] Loss_D: -0.019018 Loss_G: 0.000629 Loss_D_real: -0.000767 Loss_D_fake 0.018250
[1692/5000][265/535][174677] Loss_D: -0.017906 Loss_G: 0.006034 Loss_D_real: -0.007170 Loss_D_fake 0.010735
[1692/5000][270/535][174678] Loss_D: -0.019291 Loss_G: -0.006598 Loss_D_real: -0.011922 Loss_D_fake 0.007369
[1692/5000][275/535][174679] Loss_D: -0.017460 Loss_G: 0.012494 Loss_D_real: -0.039666 Loss_D_fake -0.022205
[1692/5000][280/535][174680] Loss_D: -0.017916 Loss_G: 0.012890 Loss_D_real: -0.015396 Loss_D_fake 0.002519
[1692/5000][285/535][174681] Loss_D: -0.017455 Loss_G: -0.005814 Loss_D_real: -0.011019 Loss_D_fake 0.006435
[1692/5000][290/535][174682] Loss_D: -0.018978 Loss_G: 0.012746 Loss_D_real: -0.019052 Loss_D_fake -0.000073
[1692/5000][295/535][174683] Loss_D: -0.018114 Loss_G: 0.001787 Loss_D_real: -0.017888 Loss_D_fake 0.000226
[1692/5000][300/535][174684] Loss_D: -0.019175 Loss_G: 0.012870 Loss_D_real: -0.022052 Loss_D_fake -0.002876
[1692/5000][305/535][174685] Loss_D: -0.019028 Loss_G: 0.015788 Loss_D_real: -0.006874 Loss_D_fake 0.012154
[1692/5000][310/535][174686] Loss_D: -0.018862 Loss_G: 0.019828 Loss_D_real: -0.015292 Loss_D_fake 0.003570
[1692/5000][315/535][174687] Loss_D: -0.017377 Loss_G: 0.011886 Loss_D_real: -0.020536 Loss_D_fake -0.003159
[1692/5000][320/535][174688] Loss_D: -0.018331 Loss_G: -0.001740 Loss_D_real: -0.005632 Loss_D_fake 0.012699
[1692/5000][325/535][174689] Loss_D: -0.017669 Loss_G: 0.011894 Loss_D_real: -0.010849 Loss_D_fake 0.006821
[1692/5000][330/535][174690] Loss_D: -0.017617 Loss_G: 0.016647 Loss_D_real: -0.028549 Loss_D_fake -0.010932
[1692/5000][335/535][174691] Loss_D: -0.017211 Loss_G: 0.007122 Loss_D_real: -0.025497 Loss_D_fake -0.008286
[1692/5000][340/535][174692] Loss_D: -0.018885 Loss_G: -0.001566 Loss_D_real: -0.014161 Loss_D_fake 0.004724
[1692/5000][345/535][174693] Loss_D: -0.018377 Loss_G: 0.022279 Loss_D_real: -0.017369 Loss_D_fake 0.001008
[1692/5000][350/535][174694] Loss_D: -0.017158 Loss_G: 0.005995 Loss_D_real: -0.038784 Loss_D_fake -0.021626
[1692/5000][355/535][174695] Loss_D: -0.018716 Loss_G: 0.002109 Loss_D_real: -0.007109 Loss_D_fake 0.011607
[1692/5000][360/535][174696] Loss_D: -0.018817 Loss_G: -0.006356 Loss_D_real: -0.018500 Loss_D_fake 0.000316
[1692/5000][365/535][174697] Loss_D: -0.017244 Loss_G: 0.012600 Loss_D_real: -0.025403 Loss_D_fake -0.008160
[1692/5000][370/535][174698] Loss_D: -0.020290 Loss_G: -0.002844 Loss_D_real: -0.012749 Loss_D_fake 0.007540
[1692/5000][375/535][174699] Loss_D: -0.020233 Loss_G: 0.001927 Loss_D_real: -0.006073 Loss_D_fake 0.014159
[1692/5000][380/535][174700] Loss_D: -0.018653 Loss_G: 0.011839 Loss_D_real: -0.016136 Loss_D_fake 0.002517
[1692/5000][385/535][174701] Loss_D: -0.019622 Loss_G: 0.007610 Loss_D_real: -0.011702 Loss_D_fake 0.007920
[1692/5000][390/535][174702] Loss_D: -0.018918 Loss_G: 0.010531 Loss_D_real: -0.013715 Loss_D_fake 0.005203
[1692/5000][395/535][174703] Loss_D: -0.019823 Loss_G: -0.005074 Loss_D_real: -0.005880 Loss_D_fake 0.013943
[1692/5000][400/535][174704] Loss_D: -0.017295 Loss_G: 0.032902 Loss_D_real: -0.035739 Loss_D_fake -0.018444
[1692/5000][405/535][174705] Loss_D: -0.018176 Loss_G: 0.022376 Loss_D_real: -0.029034 Loss_D_fake -0.010858
[1692/5000][410/535][174706] Loss_D: -0.018449 Loss_G: 0.011130 Loss_D_real: -0.013454 Loss_D_fake 0.004996
[1692/5000][415/535][174707] Loss_D: -0.017438 Loss_G: -0.013050 Loss_D_real: -0.000699 Loss_D_fake 0.016738
[1692/5000][420/535][174708] Loss_D: -0.019303 Loss_G: 0.016552 Loss_D_real: -0.012417 Loss_D_fake 0.006886
[1692/5000][425/535][174709] Loss_D: -0.019216 Loss_G: 0.012882 Loss_D_real: -0.008586 Loss_D_fake 0.010629
[1692/5000][430/535][174710] Loss_D: -0.018651 Loss_G: 0.017191 Loss_D_real: -0.018346 Loss_D_fake 0.000305
[1692/5000][435/535][174711] Loss_D: -0.018874 Loss_G: 0.011490 Loss_D_real: -0.031849 Loss_D_fake -0.012975
[1692/5000][440/535][174712] Loss_D: -0.020085 Loss_G: 0.003422 Loss_D_real: -0.020660 Loss_D_fake -0.000575
[1692/5000][445/535][174713] Loss_D: -0.019478 Loss_G: 0.005948 Loss_D_real: -0.027693 Loss_D_fake -0.008215
[1692/5000][450/535][174714] Loss_D: -0.018752 Loss_G: 0.006963 Loss_D_real: -0.021769 Loss_D_fake -0.003017
[1692/5000][455/535][174715] Loss_D: -0.019132 Loss_G: 0.030535 Loss_D_real: -0.025346 Loss_D_fake -0.006214
[1692/5000][460/535][174716] Loss_D: -0.018150 Loss_G: 0.013713 Loss_D_real: -0.029259 Loss_D_fake -0.011109
[1692/5000][465/535][174717] Loss_D: -0.018616 Loss_G: -0.013615 Loss_D_real: -0.006753 Loss_D_fake 0.011863
[1692/5000][470/535][174718] Loss_D: -0.019099 Loss_G: 0.001438 Loss_D_real: -0.013551 Loss_D_fake 0.005548
[1692/5000][475/535][174719] Loss_D: -0.019406 Loss_G: 0.004329 Loss_D_real: -0.019002 Loss_D_fake 0.000404
[1692/5000][480/535][174720] Loss_D: -0.018254 Loss_G: 0.002374 Loss_D_real: -0.020647 Loss_D_fake -0.002393
[1692/5000][485/535][174721] Loss_D: -0.017587 Loss_G: -0.005952 Loss_D_real: -0.002296 Loss_D_fake 0.015292
[1692/5000][490/535][174722] Loss_D: -0.019120 Loss_G: 0.008617 Loss_D_real: -0.017745 Loss_D_fake 0.001374
[1692/5000][495/535][174723] Loss_D: -0.016969 Loss_G: 0.022810 Loss_D_real: -0.016866 Loss_D_fake 0.000103
[1692/5000][500/535][174724] Loss_D: -0.017197 Loss_G: -0.002142 Loss_D_real: -0.004848 Loss_D_fake 0.012348
[1692/5000][505/535][174725] Loss_D: -0.018883 Loss_G: 0.013713 Loss_D_real: -0.012146 Loss_D_fake 0.006737
[1692/5000][510/535][174726] Loss_D: -0.017522 Loss_G: -0.006664 Loss_D_real: 0.000701 Loss_D_fake 0.018223
[1692/5000][515/535][174727] Loss_D: -0.017974 Loss_G: 0.004025 Loss_D_real: -0.021346 Loss_D_fake -0.003372
[1692/5000][520/535][174728] Loss_D: -0.017366 Loss_G: 0.012445 Loss_D_real: -0.027811 Loss_D_fake -0.010444
[1692/5000][525/535][174729] Loss_D: -0.019055 Loss_G: 0.005583 Loss_D_real: -0.014569 Loss_D_fake 0.004486
[1692/5000][530/535][174730] Loss_D: -0.017662 Loss_G: 0.012618 Loss_D_real: -0.015516 Loss_D_fake 0.002146
[1692/5000][535/535][174731] Loss_D: -0.018355 Loss_G: -0.014856 Loss_D_real: -0.005930 Loss_D_fake 0.012425
[1693/5000][5/535][174732] Loss_D: -0.018629 Loss_G: 0.002375 Loss_D_real: -0.009476 Loss_D_fake 0.009154
[1693/5000][10/535][174733] Loss_D: -0.018451 Loss_G: 0.000014 Loss_D_real: -0.012793 Loss_D_fake 0.005657
[1693/5000][15/535][174734] Loss_D: -0.019786 Loss_G: 0.002375 Loss_D_real: -0.011416 Loss_D_fake 0.008370
[1693/5000][20/535][174735] Loss_D: -0.017874 Loss_G: 0.025793 Loss_D_real: -0.031822 Loss_D_fake -0.013949
[1693/5000][25/535][174736] Loss_D: -0.018785 Loss_G: 0.022992 Loss_D_real: -0.026672 Loss_D_fake -0.007886
[1693/5000][30/535][174737] Loss_D: -0.019955 Loss_G: 0.012129 Loss_D_real: -0.026739 Loss_D_fake -0.006784
[1693/5000][35/535][174738] Loss_D: -0.019283 Loss_G: 0.003249 Loss_D_real: -0.016878 Loss_D_fake 0.002405
[1693/5000][40/535][174739] Loss_D: -0.019417 Loss_G: 0.011586 Loss_D_real: -0.017960 Loss_D_fake 0.001456
[1693/5000][45/535][174740] Loss_D: -0.018705 Loss_G: 0.006592 Loss_D_real: -0.011987 Loss_D_fake 0.006717
[1693/5000][50/535][174741] Loss_D: -0.018940 Loss_G: 0.000350 Loss_D_real: -0.013628 Loss_D_fake 0.005312
[1693/5000][55/535][174742] Loss_D: -0.018675 Loss_G: 0.013775 Loss_D_real: -0.023868 Loss_D_fake -0.005193
[1693/5000][60/535][174743] Loss_D: -0.018504 Loss_G: -0.013399 Loss_D_real: -0.011401 Loss_D_fake 0.007102
[1693/5000][65/535][174744] Loss_D: -0.018260 Loss_G: -0.005678 Loss_D_real: -0.008273 Loss_D_fake 0.009987
[1693/5000][70/535][174745] Loss_D: -0.019090 Loss_G: 0.021333 Loss_D_real: -0.032458 Loss_D_fake -0.013368
[1693/5000][75/535][174746] Loss_D: -0.019682 Loss_G: 0.027314 Loss_D_real: -0.024176 Loss_D_fake -0.004494
[1693/5000][80/535][174747] Loss_D: -0.018666 Loss_G: -0.014636 Loss_D_real: -0.005372 Loss_D_fake 0.013294
[1693/5000][85/535][174748] Loss_D: -0.016473 Loss_G: 0.002216 Loss_D_real: -0.009394 Loss_D_fake 0.007079
[1693/5000][90/535][174749] Loss_D: -0.017876 Loss_G: 0.011518 Loss_D_real: -0.015606 Loss_D_fake 0.002270
[1693/5000][95/535][174750] Loss_D: -0.018316 Loss_G: 0.015291 Loss_D_real: -0.024496 Loss_D_fake -0.006180
[1693/5000][100/535][174751] Loss_D: -0.018982 Loss_G: 0.009677 Loss_D_real: -0.010760 Loss_D_fake 0.008222
[1693/5000][105/535][174752] Loss_D: -0.017971 Loss_G: -0.007994 Loss_D_real: -0.008981 Loss_D_fake 0.008990
[1693/5000][110/535][174753] Loss_D: -0.018859 Loss_G: -0.009475 Loss_D_real: -0.005390 Loss_D_fake 0.013469
[1693/5000][115/535][174754] Loss_D: -0.018052 Loss_G: 0.014100 Loss_D_real: -0.023715 Loss_D_fake -0.005662
[1693/5000][120/535][174755] Loss_D: -0.019380 Loss_G: 0.013741 Loss_D_real: -0.007742 Loss_D_fake 0.011638
[1693/5000][125/535][174756] Loss_D: -0.017844 Loss_G: 0.027271 Loss_D_real: -0.027762 Loss_D_fake -0.009917
[1693/5000][130/535][174757] Loss_D: -0.018176 Loss_G: -0.017713 Loss_D_real: 0.008780 Loss_D_fake 0.026956
[1693/5000][135/535][174758] Loss_D: -0.018647 Loss_G: 0.002696 Loss_D_real: -0.002913 Loss_D_fake 0.015734
[1693/5000][140/535][174759] Loss_D: -0.018836 Loss_G: 0.008761 Loss_D_real: -0.009245 Loss_D_fake 0.009591
[1693/5000][145/535][174760] Loss_D: -0.018942 Loss_G: 0.013553 Loss_D_real: -0.012126 Loss_D_fake 0.006816
[1693/5000][150/535][174761] Loss_D: -0.018777 Loss_G: 0.002276 Loss_D_real: -0.009328 Loss_D_fake 0.009449
[1693/5000][155/535][174762] Loss_D: -0.019427 Loss_G: -0.006319 Loss_D_real: -0.002560 Loss_D_fake 0.016867
[1693/5000][160/535][174763] Loss_D: -0.019315 Loss_G: 0.000790 Loss_D_real: -0.006994 Loss_D_fake 0.012321
[1693/5000][165/535][174764] Loss_D: -0.018840 Loss_G: 0.007043 Loss_D_real: -0.011085 Loss_D_fake 0.007755
[1693/5000][170/535][174765] Loss_D: -0.020050 Loss_G: 0.006994 Loss_D_real: -0.016008 Loss_D_fake 0.004042
[1693/5000][175/535][174766] Loss_D: -0.019260 Loss_G: 0.004679 Loss_D_real: -0.022861 Loss_D_fake -0.003601
[1693/5000][180/535][174767] Loss_D: -0.019684 Loss_G: 0.003170 Loss_D_real: -0.017633 Loss_D_fake 0.002050
[1693/5000][185/535][174768] Loss_D: -0.018283 Loss_G: -0.004836 Loss_D_real: -0.005771 Loss_D_fake 0.012512
[1693/5000][190/535][174769] Loss_D: -0.015990 Loss_G: 0.039671 Loss_D_real: -0.026916 Loss_D_fake -0.010925
[1693/5000][195/535][174770] Loss_D: -0.017742 Loss_G: 0.006357 Loss_D_real: -0.010766 Loss_D_fake 0.006976
[1693/5000][200/535][174771] Loss_D: -0.017660 Loss_G: 0.004570 Loss_D_real: -0.017753 Loss_D_fake -0.000092
[1693/5000][205/535][174772] Loss_D: -0.019229 Loss_G: 0.009755 Loss_D_real: -0.025444 Loss_D_fake -0.006214
[1693/5000][210/535][174773] Loss_D: -0.017998 Loss_G: 0.012892 Loss_D_real: -0.009918 Loss_D_fake 0.008080
[1693/5000][215/535][174774] Loss_D: -0.019628 Loss_G: 0.016565 Loss_D_real: -0.023162 Loss_D_fake -0.003535
[1693/5000][220/535][174775] Loss_D: -0.019761 Loss_G: 0.014362 Loss_D_real: -0.024842 Loss_D_fake -0.005081
[1693/5000][225/535][174776] Loss_D: -0.019563 Loss_G: 0.015599 Loss_D_real: -0.018076 Loss_D_fake 0.001487
[1693/5000][230/535][174777] Loss_D: -0.018533 Loss_G: -0.004138 Loss_D_real: 0.005437 Loss_D_fake 0.023970
[1693/5000][235/535][174778] Loss_D: -0.018283 Loss_G: -0.005039 Loss_D_real: -0.023808 Loss_D_fake -0.005525
[1693/5000][240/535][174779] Loss_D: -0.017633 Loss_G: 0.011178 Loss_D_real: -0.007762 Loss_D_fake 0.009871
[1693/5000][245/535][174780] Loss_D: -0.019318 Loss_G: 0.011318 Loss_D_real: -0.014491 Loss_D_fake 0.004828
[1693/5000][250/535][174781] Loss_D: -0.019180 Loss_G: 0.005430 Loss_D_real: -0.019583 Loss_D_fake -0.000403
[1693/5000][255/535][174782] Loss_D: -0.017613 Loss_G: 0.013049 Loss_D_real: -0.024737 Loss_D_fake -0.007124
[1693/5000][260/535][174783] Loss_D: -0.019681 Loss_G: -0.012672 Loss_D_real: -0.013205 Loss_D_fake 0.006477
[1693/5000][265/535][174784] Loss_D: -0.019952 Loss_G: 0.003389 Loss_D_real: -0.002351 Loss_D_fake 0.017602
[1693/5000][270/535][174785] Loss_D: -0.019187 Loss_G: 0.006976 Loss_D_real: -0.014559 Loss_D_fake 0.004627
[1693/5000][275/535][174786] Loss_D: -0.018471 Loss_G: 0.009619 Loss_D_real: -0.017958 Loss_D_fake 0.000512
[1693/5000][280/535][174787] Loss_D: -0.019450 Loss_G: -0.011418 Loss_D_real: -0.005240 Loss_D_fake 0.014210
[1693/5000][285/535][174788] Loss_D: -0.018159 Loss_G: 0.027234 Loss_D_real: -0.017253 Loss_D_fake 0.000905
[1693/5000][290/535][174789] Loss_D: -0.018192 Loss_G: 0.021139 Loss_D_real: -0.020293 Loss_D_fake -0.002101
[1693/5000][295/535][174790] Loss_D: -0.018426 Loss_G: -0.003306 Loss_D_real: -0.020876 Loss_D_fake -0.002450
[1693/5000][300/535][174791] Loss_D: -0.018635 Loss_G: 0.004026 Loss_D_real: 0.006622 Loss_D_fake 0.025256
[1693/5000][305/535][174792] Loss_D: -0.018067 Loss_G: -0.002263 Loss_D_real: -0.009381 Loss_D_fake 0.008686
[1693/5000][310/535][174793] Loss_D: -0.017012 Loss_G: 0.001966 Loss_D_real: -0.008475 Loss_D_fake 0.008538
[1693/5000][315/535][174794] Loss_D: -0.017918 Loss_G: 0.013317 Loss_D_real: -0.012473 Loss_D_fake 0.005445
[1693/5000][320/535][174795] Loss_D: -0.020500 Loss_G: 0.007592 Loss_D_real: -0.016110 Loss_D_fake 0.004390
[1693/5000][325/535][174796] Loss_D: -0.018113 Loss_G: -0.003915 Loss_D_real: -0.007322 Loss_D_fake 0.010791
[1693/5000][330/535][174797] Loss_D: -0.018032 Loss_G: 0.021655 Loss_D_real: -0.025720 Loss_D_fake -0.007688
[1693/5000][335/535][174798] Loss_D: -0.019707 Loss_G: 0.007093 Loss_D_real: -0.024631 Loss_D_fake -0.004924
[1693/5000][340/535][174799] Loss_D: -0.017698 Loss_G: 0.018718 Loss_D_real: -0.012460 Loss_D_fake 0.005238
[1693/5000][345/535][174800] Loss_D: -0.018119 Loss_G: 0.031647 Loss_D_real: -0.019734 Loss_D_fake -0.001614
[1693/5000][350/535][174801] Loss_D: -0.018783 Loss_G: 0.000268 Loss_D_real: -0.010466 Loss_D_fake 0.008317
[1693/5000][355/535][174802] Loss_D: -0.019048 Loss_G: -0.003918 Loss_D_real: -0.008275 Loss_D_fake 0.010773
[1693/5000][360/535][174803] Loss_D: -0.018472 Loss_G: 0.017226 Loss_D_real: -0.015770 Loss_D_fake 0.002702
[1693/5000][365/535][174804] Loss_D: -0.019531 Loss_G: 0.002138 Loss_D_real: -0.008029 Loss_D_fake 0.011501
[1693/5000][370/535][174805] Loss_D: -0.019466 Loss_G: 0.005386 Loss_D_real: -0.019304 Loss_D_fake 0.000162
[1693/5000][375/535][174806] Loss_D: -0.017864 Loss_G: 0.007165 Loss_D_real: -0.018225 Loss_D_fake -0.000361
[1693/5000][380/535][174807] Loss_D: -0.018708 Loss_G: 0.017188 Loss_D_real: -0.028226 Loss_D_fake -0.009519
[1693/5000][385/535][174808] Loss_D: -0.018006 Loss_G: -0.002959 Loss_D_real: -0.005876 Loss_D_fake 0.012130
[1693/5000][390/535][174809] Loss_D: -0.019036 Loss_G: 0.007946 Loss_D_real: -0.025528 Loss_D_fake -0.006492
[1693/5000][395/535][174810] Loss_D: -0.018930 Loss_G: 0.006845 Loss_D_real: -0.022137 Loss_D_fake -0.003206
[1693/5000][400/535][174811] Loss_D: -0.015481 Loss_G: 0.008660 Loss_D_real: -0.022743 Loss_D_fake -0.007263
[1693/5000][405/535][174812] Loss_D: -0.017290 Loss_G: 0.005033 Loss_D_real: -0.026224 Loss_D_fake -0.008934
[1693/5000][410/535][174813] Loss_D: -0.019134 Loss_G: 0.008961 Loss_D_real: -0.004418 Loss_D_fake 0.014716
[1693/5000][415/535][174814] Loss_D: -0.019309 Loss_G: 0.001261 Loss_D_real: 0.000050 Loss_D_fake 0.019359
[1693/5000][420/535][174815] Loss_D: -0.019693 Loss_G: 0.002606 Loss_D_real: -0.013300 Loss_D_fake 0.006393
[1693/5000][425/535][174816] Loss_D: -0.018807 Loss_G: 0.003399 Loss_D_real: -0.000092 Loss_D_fake 0.018715
[1693/5000][430/535][174817] Loss_D: -0.020401 Loss_G: 0.007876 Loss_D_real: -0.006653 Loss_D_fake 0.013748
[1693/5000][435/535][174818] Loss_D: -0.018385 Loss_G: -0.000445 Loss_D_real: -0.010337 Loss_D_fake 0.008047
[1693/5000][440/535][174819] Loss_D: -0.017382 Loss_G: 0.024998 Loss_D_real: -0.022910 Loss_D_fake -0.005527
[1693/5000][445/535][174820] Loss_D: -0.018786 Loss_G: 0.022716 Loss_D_real: -0.013497 Loss_D_fake 0.005289
[1693/5000][450/535][174821] Loss_D: -0.017039 Loss_G: 0.016186 Loss_D_real: -0.026202 Loss_D_fake -0.009163
[1693/5000][455/535][174822] Loss_D: -0.019180 Loss_G: 0.020521 Loss_D_real: -0.020407 Loss_D_fake -0.001227
[1693/5000][460/535][174823] Loss_D: -0.019277 Loss_G: 0.001980 Loss_D_real: -0.016582 Loss_D_fake 0.002695
[1693/5000][465/535][174824] Loss_D: -0.019418 Loss_G: 0.011922 Loss_D_real: -0.026338 Loss_D_fake -0.006919
[1693/5000][470/535][174825] Loss_D: -0.019186 Loss_G: 0.015579 Loss_D_real: -0.010288 Loss_D_fake 0.008899
[1693/5000][475/535][174826] Loss_D: -0.020042 Loss_G: 0.006357 Loss_D_real: -0.017321 Loss_D_fake 0.002720
[1693/5000][480/535][174827] Loss_D: -0.018534 Loss_G: -0.003249 Loss_D_real: 0.001528 Loss_D_fake 0.020062
[1693/5000][485/535][174828] Loss_D: -0.017255 Loss_G: 0.020242 Loss_D_real: -0.020670 Loss_D_fake -0.003415
[1693/5000][490/535][174829] Loss_D: -0.018765 Loss_G: 0.014940 Loss_D_real: -0.026171 Loss_D_fake -0.007407
[1693/5000][495/535][174830] Loss_D: -0.018875 Loss_G: 0.009234 Loss_D_real: -0.014231 Loss_D_fake 0.004644
[1693/5000][500/535][174831] Loss_D: -0.019427 Loss_G: 0.005148 Loss_D_real: -0.021163 Loss_D_fake -0.001736
[1693/5000][505/535][174832] Loss_D: -0.018992 Loss_G: 0.015194 Loss_D_real: -0.013511 Loss_D_fake 0.005481
[1693/5000][510/535][174833] Loss_D: -0.018077 Loss_G: 0.014421 Loss_D_real: -0.020422 Loss_D_fake -0.002344
[1693/5000][515/535][174834] Loss_D: -0.018997 Loss_G: 0.023519 Loss_D_real: -0.030277 Loss_D_fake -0.011280
[1693/5000][520/535][174835] Loss_D: -0.018455 Loss_G: 0.018531 Loss_D_real: -0.014962 Loss_D_fake 0.003494
[1693/5000][525/535][174836] Loss_D: -0.019192 Loss_G: 0.014002 Loss_D_real: -0.020055 Loss_D_fake -0.000862
[1693/5000][530/535][174837] Loss_D: -0.019175 Loss_G: 0.018366 Loss_D_real: -0.019092 Loss_D_fake 0.000083
[1693/5000][535/535][174838] Loss_D: -0.020079 Loss_G: 0.018050 Loss_D_real: -0.013823 Loss_D_fake 0.006255
[1694/5000][5/535][174839] Loss_D: -0.016703 Loss_G: 0.023918 Loss_D_real: -0.035623 Loss_D_fake -0.018920
[1694/5000][10/535][174840] Loss_D: -0.019933 Loss_G: 0.008418 Loss_D_real: -0.025274 Loss_D_fake -0.005342
[1694/5000][15/535][174841] Loss_D: -0.018320 Loss_G: -0.014923 Loss_D_real: -0.000379 Loss_D_fake 0.017941
[1694/5000][20/535][174842] Loss_D: -0.018558 Loss_G: -0.010443 Loss_D_real: -0.012680 Loss_D_fake 0.005878
[1694/5000][25/535][174843] Loss_D: -0.019486 Loss_G: 0.023018 Loss_D_real: -0.010539 Loss_D_fake 0.008946
[1694/5000][30/535][174844] Loss_D: -0.018353 Loss_G: 0.006552 Loss_D_real: -0.027189 Loss_D_fake -0.008837
[1694/5000][35/535][174845] Loss_D: -0.018784 Loss_G: 0.004322 Loss_D_real: -0.003143 Loss_D_fake 0.015642
[1694/5000][40/535][174846] Loss_D: -0.018097 Loss_G: 0.028140 Loss_D_real: -0.021850 Loss_D_fake -0.003753
[1694/5000][45/535][174847] Loss_D: -0.016665 Loss_G: -0.006450 Loss_D_real: -0.013767 Loss_D_fake 0.002898
[1694/5000][50/535][174848] Loss_D: -0.016914 Loss_G: 0.009637 Loss_D_real: -0.021288 Loss_D_fake -0.004375
[1694/5000][55/535][174849] Loss_D: -0.020549 Loss_G: 0.005985 Loss_D_real: -0.036559 Loss_D_fake -0.016010
[1694/5000][60/535][174850] Loss_D: -0.019101 Loss_G: 0.001543 Loss_D_real: -0.012759 Loss_D_fake 0.006341
[1694/5000][65/535][174851] Loss_D: -0.018638 Loss_G: 0.011648 Loss_D_real: -0.035464 Loss_D_fake -0.016825
[1694/5000][70/535][174852] Loss_D: -0.018034 Loss_G: 0.000059 Loss_D_real: -0.009875 Loss_D_fake 0.008159
[1694/5000][75/535][174853] Loss_D: -0.017290 Loss_G: 0.016750 Loss_D_real: -0.012598 Loss_D_fake 0.004692
[1694/5000][80/535][174854] Loss_D: -0.018139 Loss_G: -0.005448 Loss_D_real: -0.016556 Loss_D_fake 0.001583
[1694/5000][85/535][174855] Loss_D: -0.018218 Loss_G: 0.029854 Loss_D_real: -0.015908 Loss_D_fake 0.002310
[1694/5000][90/535][174856] Loss_D: -0.017739 Loss_G: -0.002151 Loss_D_real: -0.003179 Loss_D_fake 0.014560
[1694/5000][95/535][174857] Loss_D: -0.018246 Loss_G: 0.022561 Loss_D_real: -0.027860 Loss_D_fake -0.009614
[1694/5000][100/535][174858] Loss_D: -0.018396 Loss_G: 0.005525 Loss_D_real: -0.030276 Loss_D_fake -0.011880
[1694/5000][105/535][174859] Loss_D: -0.018192 Loss_G: 0.007589 Loss_D_real: -0.028335 Loss_D_fake -0.010144
[1694/5000][110/535][174860] Loss_D: -0.018558 Loss_G: 0.015129 Loss_D_real: -0.027925 Loss_D_fake -0.009367
[1694/5000][115/535][174861] Loss_D: -0.019232 Loss_G: 0.009464 Loss_D_real: -0.030024 Loss_D_fake -0.010792
[1694/5000][120/535][174862] Loss_D: -0.018481 Loss_G: -0.000867 Loss_D_real: -0.008071 Loss_D_fake 0.010411
[1694/5000][125/535][174863] Loss_D: -0.018140 Loss_G: 0.014224 Loss_D_real: -0.024854 Loss_D_fake -0.006714
[1694/5000][130/535][174864] Loss_D: -0.018687 Loss_G: -0.005042 Loss_D_real: -0.012439 Loss_D_fake 0.006248
[1694/5000][135/535][174865] Loss_D: -0.018114 Loss_G: 0.000387 Loss_D_real: -0.017248 Loss_D_fake 0.000866
[1694/5000][140/535][174866] Loss_D: -0.017850 Loss_G: 0.010171 Loss_D_real: -0.008018 Loss_D_fake 0.009832
[1694/5000][145/535][174867] Loss_D: -0.017831 Loss_G: 0.010371 Loss_D_real: -0.014978 Loss_D_fake 0.002853
[1694/5000][150/535][174868] Loss_D: -0.017292 Loss_G: 0.023788 Loss_D_real: -0.012916 Loss_D_fake 0.004376
[1694/5000][155/535][174869] Loss_D: -0.017962 Loss_G: -0.013973 Loss_D_real: 0.003787 Loss_D_fake 0.021749
[1694/5000][160/535][174870] Loss_D: -0.018667 Loss_G: 0.001499 Loss_D_real: -0.009420 Loss_D_fake 0.009247
[1694/5000][165/535][174871] Loss_D: -0.019577 Loss_G: 0.008350 Loss_D_real: -0.020620 Loss_D_fake -0.001044
[1694/5000][170/535][174872] Loss_D: -0.018876 Loss_G: 0.007492 Loss_D_real: -0.009509 Loss_D_fake 0.009367
[1694/5000][175/535][174873] Loss_D: -0.019142 Loss_G: -0.009590 Loss_D_real: -0.002089 Loss_D_fake 0.017053
[1694/5000][180/535][174874] Loss_D: -0.019231 Loss_G: 0.009825 Loss_D_real: -0.023475 Loss_D_fake -0.004244
[1694/5000][185/535][174875] Loss_D: -0.018833 Loss_G: 0.020653 Loss_D_real: -0.028022 Loss_D_fake -0.009189
[1694/5000][190/535][174876] Loss_D: -0.017663 Loss_G: 0.016325 Loss_D_real: -0.016705 Loss_D_fake 0.000958
[1694/5000][195/535][174877] Loss_D: -0.018837 Loss_G: 0.011782 Loss_D_real: -0.002140 Loss_D_fake 0.016697
[1694/5000][200/535][174878] Loss_D: -0.018216 Loss_G: 0.003449 Loss_D_real: 0.003899 Loss_D_fake 0.022115
[1694/5000][205/535][174879] Loss_D: -0.018036 Loss_G: 0.002958 Loss_D_real: -0.030313 Loss_D_fake -0.012278
[1694/5000][210/535][174880] Loss_D: -0.017162 Loss_G: 0.022302 Loss_D_real: -0.028104 Loss_D_fake -0.010942
[1694/5000][215/535][174881] Loss_D: -0.019792 Loss_G: 0.001650 Loss_D_real: -0.026688 Loss_D_fake -0.006896
[1694/5000][220/535][174882] Loss_D: -0.019529 Loss_G: 0.012240 Loss_D_real: -0.016896 Loss_D_fake 0.002632
[1694/5000][225/535][174883] Loss_D: -0.018996 Loss_G: -0.007587 Loss_D_real: -0.005982 Loss_D_fake 0.013015
[1694/5000][230/535][174884] Loss_D: -0.017904 Loss_G: 0.013277 Loss_D_real: -0.018479 Loss_D_fake -0.000575
[1694/5000][235/535][174885] Loss_D: -0.019229 Loss_G: 0.010302 Loss_D_real: -0.005230 Loss_D_fake 0.013999
[1694/5000][240/535][174886] Loss_D: -0.018056 Loss_G: 0.009464 Loss_D_real: -0.020907 Loss_D_fake -0.002851
[1694/5000][245/535][174887] Loss_D: -0.018942 Loss_G: 0.011331 Loss_D_real: 0.001042 Loss_D_fake 0.019985
[1694/5000][250/535][174888] Loss_D: -0.018799 Loss_G: 0.028733 Loss_D_real: -0.023327 Loss_D_fake -0.004528
[1694/5000][255/535][174889] Loss_D: -0.017768 Loss_G: 0.005143 Loss_D_real: -0.003803 Loss_D_fake 0.013965
[1694/5000][260/535][174890] Loss_D: -0.017891 Loss_G: -0.000787 Loss_D_real: -0.000969 Loss_D_fake 0.016922
[1694/5000][265/535][174891] Loss_D: -0.017934 Loss_G: 0.022860 Loss_D_real: -0.037651 Loss_D_fake -0.019717
[1694/5000][270/535][174892] Loss_D: -0.018378 Loss_G: 0.003398 Loss_D_real: -0.011374 Loss_D_fake 0.007004
[1694/5000][275/535][174893] Loss_D: -0.018794 Loss_G: -0.000137 Loss_D_real: -0.017417 Loss_D_fake 0.001377
[1694/5000][280/535][174894] Loss_D: -0.018360 Loss_G: 0.024430 Loss_D_real: -0.023846 Loss_D_fake -0.005485
[1694/5000][285/535][174895] Loss_D: -0.019540 Loss_G: 0.013936 Loss_D_real: -0.006447 Loss_D_fake 0.013093
[1694/5000][290/535][174896] Loss_D: -0.018867 Loss_G: 0.007641 Loss_D_real: -0.017774 Loss_D_fake 0.001093
[1694/5000][295/535][174897] Loss_D: -0.019085 Loss_G: 0.008898 Loss_D_real: -0.014912 Loss_D_fake 0.004173
[1694/5000][300/535][174898] Loss_D: -0.018088 Loss_G: -0.001551 Loss_D_real: -0.009677 Loss_D_fake 0.008411
[1694/5000][305/535][174899] Loss_D: -0.018655 Loss_G: -0.005154 Loss_D_real: -0.015544 Loss_D_fake 0.003111
[1694/5000][310/535][174900] Loss_D: -0.017402 Loss_G: 0.018268 Loss_D_real: -0.030431 Loss_D_fake -0.013029
[1694/5000][315/535][174901] Loss_D: -0.018849 Loss_G: -0.000760 Loss_D_real: -0.018777 Loss_D_fake 0.000072
[1694/5000][320/535][174902] Loss_D: -0.019487 Loss_G: 0.003631 Loss_D_real: -0.016806 Loss_D_fake 0.002681
[1694/5000][325/535][174903] Loss_D: -0.018524 Loss_G: 0.006327 Loss_D_real: -0.011557 Loss_D_fake 0.006966
[1694/5000][330/535][174904] Loss_D: -0.018874 Loss_G: 0.020505 Loss_D_real: -0.018271 Loss_D_fake 0.000604
[1694/5000][335/535][174905] Loss_D: -0.020315 Loss_G: -0.003567 Loss_D_real: -0.006912 Loss_D_fake 0.013402
[1694/5000][340/535][174906] Loss_D: -0.020132 Loss_G: 0.015062 Loss_D_real: -0.020388 Loss_D_fake -0.000256
[1694/5000][345/535][174907] Loss_D: -0.019130 Loss_G: 0.004782 Loss_D_real: -0.019809 Loss_D_fake -0.000680
[1694/5000][350/535][174908] Loss_D: -0.016382 Loss_G: -0.015253 Loss_D_real: 0.011132 Loss_D_fake 0.027514
[1694/5000][355/535][174909] Loss_D: -0.018864 Loss_G: 0.002839 Loss_D_real: -0.011242 Loss_D_fake 0.007622
[1694/5000][360/535][174910] Loss_D: -0.019453 Loss_G: 0.004698 Loss_D_real: -0.013219 Loss_D_fake 0.006234
[1694/5000][365/535][174911] Loss_D: -0.018246 Loss_G: -0.001520 Loss_D_real: -0.008627 Loss_D_fake 0.009619
[1694/5000][370/535][174912] Loss_D: -0.018825 Loss_G: -0.003064 Loss_D_real: -0.005778 Loss_D_fake 0.013046
[1694/5000][375/535][174913] Loss_D: -0.019512 Loss_G: 0.009474 Loss_D_real: -0.013594 Loss_D_fake 0.005918
[1694/5000][380/535][174914] Loss_D: -0.018260 Loss_G: 0.025190 Loss_D_real: -0.025603 Loss_D_fake -0.007344
[1694/5000][385/535][174915] Loss_D: -0.017787 Loss_G: 0.000760 Loss_D_real: -0.006605 Loss_D_fake 0.011182
[1694/5000][390/535][174916] Loss_D: -0.019347 Loss_G: 0.001862 Loss_D_real: -0.017647 Loss_D_fake 0.001701
[1694/5000][395/535][174917] Loss_D: -0.018301 Loss_G: 0.020595 Loss_D_real: -0.024996 Loss_D_fake -0.006695
[1694/5000][400/535][174918] Loss_D: -0.018922 Loss_G: 0.008872 Loss_D_real: -0.020004 Loss_D_fake -0.001082
[1694/5000][405/535][174919] Loss_D: -0.018904 Loss_G: -0.012784 Loss_D_real: 0.001842 Loss_D_fake 0.020746
[1694/5000][410/535][174920] Loss_D: -0.018791 Loss_G: 0.023018 Loss_D_real: -0.006913 Loss_D_fake 0.011878
[1694/5000][415/535][174921] Loss_D: -0.017361 Loss_G: 0.002283 Loss_D_real: -0.005944 Loss_D_fake 0.011418
[1694/5000][420/535][174922] Loss_D: -0.017291 Loss_G: 0.017119 Loss_D_real: -0.028125 Loss_D_fake -0.010834
[1694/5000][425/535][174923] Loss_D: -0.017753 Loss_G: 0.009044 Loss_D_real: -0.013008 Loss_D_fake 0.004745
[1694/5000][430/535][174924] Loss_D: -0.020615 Loss_G: 0.004861 Loss_D_real: -0.023163 Loss_D_fake -0.002547
[1694/5000][435/535][174925] Loss_D: -0.018355 Loss_G: 0.009135 Loss_D_real: -0.024446 Loss_D_fake -0.006091
[1694/5000][440/535][174926] Loss_D: -0.017743 Loss_G: 0.019055 Loss_D_real: -0.020893 Loss_D_fake -0.003150
[1694/5000][445/535][174927] Loss_D: -0.018549 Loss_G: 0.010663 Loss_D_real: -0.018325 Loss_D_fake 0.000224
[1694/5000][450/535][174928] Loss_D: -0.018313 Loss_G: -0.009306 Loss_D_real: -0.000822 Loss_D_fake 0.017491
[1694/5000][455/535][174929] Loss_D: -0.017512 Loss_G: 0.013355 Loss_D_real: -0.025998 Loss_D_fake -0.008486
[1694/5000][460/535][174930] Loss_D: -0.018029 Loss_G: 0.000337 Loss_D_real: -0.028154 Loss_D_fake -0.010125
[1694/5000][465/535][174931] Loss_D: -0.018431 Loss_G: 0.023144 Loss_D_real: -0.020597 Loss_D_fake -0.002167
[1694/5000][470/535][174932] Loss_D: -0.019006 Loss_G: -0.009709 Loss_D_real: -0.001390 Loss_D_fake 0.017616
[1694/5000][475/535][174933] Loss_D: -0.019036 Loss_G: 0.018884 Loss_D_real: -0.022076 Loss_D_fake -0.003040
[1694/5000][480/535][174934] Loss_D: -0.019306 Loss_G: 0.009144 Loss_D_real: -0.008486 Loss_D_fake 0.010820
[1694/5000][485/535][174935] Loss_D: -0.017561 Loss_G: 0.017473 Loss_D_real: -0.012031 Loss_D_fake 0.005530
[1694/5000][490/535][174936] Loss_D: -0.018694 Loss_G: 0.009562 Loss_D_real: -0.017600 Loss_D_fake 0.001093
[1694/5000][495/535][174937] Loss_D: -0.018502 Loss_G: -0.010287 Loss_D_real: -0.017554 Loss_D_fake 0.000947
[1694/5000][500/535][174938] Loss_D: -0.018269 Loss_G: 0.004363 Loss_D_real: 0.003091 Loss_D_fake 0.021360
[1694/5000][505/535][174939] Loss_D: -0.017389 Loss_G: -0.001007 Loss_D_real: -0.000592 Loss_D_fake 0.016797
[1694/5000][510/535][174940] Loss_D: -0.018967 Loss_G: 0.004614 Loss_D_real: -0.004287 Loss_D_fake 0.014680
[1694/5000][515/535][174941] Loss_D: -0.019519 Loss_G: -0.003557 Loss_D_real: -0.010832 Loss_D_fake 0.008687
[1694/5000][520/535][174942] Loss_D: -0.016650 Loss_G: -0.009151 Loss_D_real: -0.000909 Loss_D_fake 0.015741
[1694/5000][525/535][174943] Loss_D: -0.019125 Loss_G: -0.003885 Loss_D_real: -0.004862 Loss_D_fake 0.014264
[1694/5000][530/535][174944] Loss_D: -0.017857 Loss_G: -0.009728 Loss_D_real: 0.008541 Loss_D_fake 0.026398
[1694/5000][535/535][174945] Loss_D: -0.019249 Loss_G: -0.019315 Loss_D_real: -0.012455 Loss_D_fake 0.006795
[1695/5000][5/535][174946] Loss_D: -0.019380 Loss_G: 0.011447 Loss_D_real: -0.009920 Loss_D_fake 0.009460
[1695/5000][10/535][174947] Loss_D: -0.019200 Loss_G: 0.005001 Loss_D_real: -0.008467 Loss_D_fake 0.010733
[1695/5000][15/535][174948] Loss_D: -0.019037 Loss_G: 0.029613 Loss_D_real: -0.017464 Loss_D_fake 0.001573
[1695/5000][20/535][174949] Loss_D: -0.018273 Loss_G: 0.015441 Loss_D_real: -0.021129 Loss_D_fake -0.002856
[1695/5000][25/535][174950] Loss_D: -0.019063 Loss_G: 0.007514 Loss_D_real: -0.013131 Loss_D_fake 0.005932
[1695/5000][30/535][174951] Loss_D: -0.020496 Loss_G: 0.014038 Loss_D_real: -0.011191 Loss_D_fake 0.009305
[1695/5000][35/535][174952] Loss_D: -0.019764 Loss_G: 0.008353 Loss_D_real: -0.025009 Loss_D_fake -0.005246
[1695/5000][40/535][174953] Loss_D: -0.018660 Loss_G: 0.023711 Loss_D_real: -0.031634 Loss_D_fake -0.012974
[1695/5000][45/535][174954] Loss_D: -0.019118 Loss_G: 0.003926 Loss_D_real: -0.021393 Loss_D_fake -0.002275
[1695/5000][50/535][174955] Loss_D: -0.018695 Loss_G: 0.011837 Loss_D_real: -0.029718 Loss_D_fake -0.011024
[1695/5000][55/535][174956] Loss_D: -0.019138 Loss_G: 0.005209 Loss_D_real: -0.012800 Loss_D_fake 0.006339
[1695/5000][60/535][174957] Loss_D: -0.018224 Loss_G: -0.010091 Loss_D_real: -0.014200 Loss_D_fake 0.004024
[1695/5000][65/535][174958] Loss_D: -0.018442 Loss_G: 0.016441 Loss_D_real: -0.020680 Loss_D_fake -0.002239
[1695/5000][70/535][174959] Loss_D: -0.018516 Loss_G: -0.008726 Loss_D_real: -0.012244 Loss_D_fake 0.006272
[1695/5000][75/535][174960] Loss_D: -0.018425 Loss_G: 0.003985 Loss_D_real: -0.008931 Loss_D_fake 0.009493
[1695/5000][80/535][174961] Loss_D: -0.018628 Loss_G: -0.007490 Loss_D_real: -0.017755 Loss_D_fake 0.000874
[1695/5000][85/535][174962] Loss_D: -0.017141 Loss_G: 0.017853 Loss_D_real: -0.013917 Loss_D_fake 0.003224
[1695/5000][90/535][174963] Loss_D: -0.018495 Loss_G: 0.004637 Loss_D_real: -0.012689 Loss_D_fake 0.005806
[1695/5000][95/535][174964] Loss_D: -0.019015 Loss_G: -0.001653 Loss_D_real: -0.016647 Loss_D_fake 0.002367
[1695/5000][100/535][174965] Loss_D: -0.019549 Loss_G: 0.015472 Loss_D_real: -0.018395 Loss_D_fake 0.001154
[1695/5000][105/535][174966] Loss_D: -0.018775 Loss_G: 0.007820 Loss_D_real: -0.016075 Loss_D_fake 0.002699
[1695/5000][110/535][174967] Loss_D: -0.019170 Loss_G: 0.019484 Loss_D_real: -0.016815 Loss_D_fake 0.002355
[1695/5000][115/535][174968] Loss_D: -0.018542 Loss_G: 0.003111 Loss_D_real: -0.022387 Loss_D_fake -0.003845
[1695/5000][120/535][174969] Loss_D: -0.018672 Loss_G: 0.023143 Loss_D_real: -0.013545 Loss_D_fake 0.005127
[1695/5000][125/535][174970] Loss_D: -0.017874 Loss_G: -0.004065 Loss_D_real: -0.012530 Loss_D_fake 0.005344
[1695/5000][130/535][174971] Loss_D: -0.019149 Loss_G: 0.021553 Loss_D_real: -0.036672 Loss_D_fake -0.017523
[1695/5000][135/535][174972] Loss_D: -0.019115 Loss_G: 0.004643 Loss_D_real: -0.018144 Loss_D_fake 0.000970
[1695/5000][140/535][174973] Loss_D: -0.018785 Loss_G: 0.001868 Loss_D_real: -0.013098 Loss_D_fake 0.005687
[1695/5000][145/535][174974] Loss_D: -0.018972 Loss_G: 0.016343 Loss_D_real: -0.018114 Loss_D_fake 0.000858
[1695/5000][150/535][174975] Loss_D: -0.018780 Loss_G: 0.013721 Loss_D_real: -0.016470 Loss_D_fake 0.002310
[1695/5000][155/535][174976] Loss_D: -0.019616 Loss_G: 0.000179 Loss_D_real: -0.022087 Loss_D_fake -0.002472
[1695/5000][160/535][174977] Loss_D: -0.018174 Loss_G: 0.017810 Loss_D_real: -0.021762 Loss_D_fake -0.003588
[1695/5000][165/535][174978] Loss_D: -0.019260 Loss_G: 0.006752 Loss_D_real: -0.009187 Loss_D_fake 0.010073
[1695/5000][170/535][174979] Loss_D: -0.017812 Loss_G: 0.010641 Loss_D_real: -0.027514 Loss_D_fake -0.009702
[1695/5000][175/535][174980] Loss_D: -0.020069 Loss_G: -0.002025 Loss_D_real: -0.014594 Loss_D_fake 0.005476
[1695/5000][180/535][174981] Loss_D: -0.019195 Loss_G: 0.004184 Loss_D_real: -0.010414 Loss_D_fake 0.008781
[1695/5000][185/535][174982] Loss_D: -0.018172 Loss_G: 0.017500 Loss_D_real: -0.013598 Loss_D_fake 0.004574
[1695/5000][190/535][174983] Loss_D: -0.018073 Loss_G: -0.002805 Loss_D_real: 0.004052 Loss_D_fake 0.022126
[1695/5000][195/535][174984] Loss_D: -0.017695 Loss_G: 0.022474 Loss_D_real: -0.027226 Loss_D_fake -0.009531
[1695/5000][200/535][174985] Loss_D: -0.018366 Loss_G: -0.006160 Loss_D_real: -0.002535 Loss_D_fake 0.015831
[1695/5000][205/535][174986] Loss_D: -0.019940 Loss_G: 0.001541 Loss_D_real: -0.026227 Loss_D_fake -0.006288
[1695/5000][210/535][174987] Loss_D: -0.018771 Loss_G: 0.010405 Loss_D_real: -0.018585 Loss_D_fake 0.000186
[1695/5000][215/535][174988] Loss_D: -0.019110 Loss_G: 0.003119 Loss_D_real: -0.012481 Loss_D_fake 0.006628
[1695/5000][220/535][174989] Loss_D: -0.019173 Loss_G: 0.010196 Loss_D_real: -0.006961 Loss_D_fake 0.012212
[1695/5000][225/535][174990] Loss_D: -0.019679 Loss_G: 0.002682 Loss_D_real: -0.018280 Loss_D_fake 0.001399
[1695/5000][230/535][174991] Loss_D: -0.017653 Loss_G: 0.023944 Loss_D_real: -0.022699 Loss_D_fake -0.005045
[1695/5000][235/535][174992] Loss_D: -0.020273 Loss_G: -0.003402 Loss_D_real: -0.005152 Loss_D_fake 0.015121
[1695/5000][240/535][174993] Loss_D: -0.018556 Loss_G: -0.018544 Loss_D_real: -0.004333 Loss_D_fake 0.014223
[1695/5000][245/535][174994] Loss_D: -0.018221 Loss_G: 0.000391 Loss_D_real: -0.021317 Loss_D_fake -0.003096
[1695/5000][250/535][174995] Loss_D: -0.019007 Loss_G: 0.018737 Loss_D_real: -0.021685 Loss_D_fake -0.002678
[1695/5000][255/535][174996] Loss_D: -0.019152 Loss_G: 0.009981 Loss_D_real: -0.004464 Loss_D_fake 0.014687
[1695/5000][260/535][174997] Loss_D: -0.018042 Loss_G: -0.011965 Loss_D_real: -0.011192 Loss_D_fake 0.006850
[1695/5000][265/535][174998] Loss_D: -0.019320 Loss_G: 0.010120 Loss_D_real: -0.012288 Loss_D_fake 0.007032
[1695/5000][270/535][174999] Loss_D: -0.018411 Loss_G: 0.005247 Loss_D_real: -0.013766 Loss_D_fake 0.004645
[1695/5000][275/535][175000] Loss_D: -0.018534 Loss_G: 0.017370 Loss_D_real: -0.030061 Loss_D_fake -0.011526
[1695/5000][375/535][175001] Loss_D: -0.019659 Loss_G: 0.031058 Loss_D_real: -0.023277 Loss_D_fake -0.003618
[1695/5000][380/535][175002] Loss_D: -0.016495 Loss_G: 0.001734 Loss_D_real: -0.001628 Loss_D_fake 0.014867
[1695/5000][385/535][175003] Loss_D: -0.015648 Loss_G: 0.011656 Loss_D_real: -0.020021 Loss_D_fake -0.004372
[1695/5000][390/535][175004] Loss_D: -0.017438 Loss_G: 0.002828 Loss_D_real: -0.009898 Loss_D_fake 0.007540
[1695/5000][395/535][175005] Loss_D: -0.017346 Loss_G: 0.009415 Loss_D_real: -0.022117 Loss_D_fake -0.004771
[1695/5000][400/535][175006] Loss_D: -0.016953 Loss_G: 0.002612 Loss_D_real: -0.003987 Loss_D_fake 0.012966
[1695/5000][405/535][175007] Loss_D: -0.017226 Loss_G: 0.008920 Loss_D_real: -0.009076 Loss_D_fake 0.008150
[1695/5000][410/535][175008] Loss_D: -0.017734 Loss_G: -0.011763 Loss_D_real: 0.001783 Loss_D_fake 0.019517
[1695/5000][415/535][175009] Loss_D: -0.018267 Loss_G: -0.001562 Loss_D_real: -0.030205 Loss_D_fake -0.011938
[1695/5000][420/535][175010] Loss_D: -0.017450 Loss_G: 0.023791 Loss_D_real: -0.019399 Loss_D_fake -0.001949
[1695/5000][425/535][175011] Loss_D: -0.019221 Loss_G: -0.005017 Loss_D_real: -0.022556 Loss_D_fake -0.003335
[1695/5000][430/535][175012] Loss_D: -0.020082 Loss_G: 0.019952 Loss_D_real: -0.019957 Loss_D_fake 0.000126
[1695/5000][435/535][175013] Loss_D: -0.018967 Loss_G: 0.009616 Loss_D_real: -0.001910 Loss_D_fake 0.017056
[1695/5000][440/535][175014] Loss_D: -0.018540 Loss_G: 0.006367 Loss_D_real: -0.024822 Loss_D_fake -0.006282
[1695/5000][445/535][175015] Loss_D: -0.018680 Loss_G: 0.016927 Loss_D_real: 0.001414 Loss_D_fake 0.020094
[1695/5000][450/535][175016] Loss_D: -0.017359 Loss_G: 0.005284 Loss_D_real: -0.007402 Loss_D_fake 0.009957
[1695/5000][455/535][175017] Loss_D: -0.017285 Loss_G: 0.006519 Loss_D_real: -0.023106 Loss_D_fake -0.005822
[1695/5000][460/535][175018] Loss_D: -0.017713 Loss_G: 0.015604 Loss_D_real: -0.028162 Loss_D_fake -0.010449
[1695/5000][465/535][175019] Loss_D: -0.018464 Loss_G: 0.007945 Loss_D_real: -0.016459 Loss_D_fake 0.002005
[1695/5000][470/535][175020] Loss_D: -0.017430 Loss_G: -0.006689 Loss_D_real: 0.001802 Loss_D_fake 0.019232
[1695/5000][475/535][175021] Loss_D: -0.018427 Loss_G: 0.018450 Loss_D_real: -0.013131 Loss_D_fake 0.005296
[1695/5000][480/535][175022] Loss_D: -0.019051 Loss_G: -0.006310 Loss_D_real: -0.013955 Loss_D_fake 0.005096
[1695/5000][485/535][175023] Loss_D: -0.018848 Loss_G: 0.009346 Loss_D_real: -0.020958 Loss_D_fake -0.002110
[1695/5000][490/535][175024] Loss_D: -0.017800 Loss_G: 0.000680 Loss_D_real: -0.009073 Loss_D_fake 0.008727
[1695/5000][495/535][175025] Loss_D: -0.019784 Loss_G: 0.003742 Loss_D_real: -0.016111 Loss_D_fake 0.003673
[1695/5000][500/535][175026] Loss_D: -0.018702 Loss_G: 0.015486 Loss_D_real: -0.030963 Loss_D_fake -0.012261
[1695/5000][505/535][175027] Loss_D: -0.018536 Loss_G: 0.010387 Loss_D_real: -0.020129 Loss_D_fake -0.001593
[1695/5000][510/535][175028] Loss_D: -0.019405 Loss_G: -0.000771 Loss_D_real: -0.013750 Loss_D_fake 0.005655
[1695/5000][515/535][175029] Loss_D: -0.018457 Loss_G: -0.006719 Loss_D_real: -0.017036 Loss_D_fake 0.001421
[1695/5000][520/535][175030] Loss_D: -0.017984 Loss_G: 0.017025 Loss_D_real: -0.030939 Loss_D_fake -0.012955
[1695/5000][525/535][175031] Loss_D: -0.018772 Loss_G: -0.017779 Loss_D_real: -0.003426 Loss_D_fake 0.015346
[1695/5000][530/535][175032] Loss_D: -0.017704 Loss_G: -0.000050 Loss_D_real: -0.003626 Loss_D_fake 0.014078
[1695/5000][535/535][175033] Loss_D: -0.015907 Loss_G: -0.002218 Loss_D_real: -0.014008 Loss_D_fake 0.001900
[1696/5000][5/535][175034] Loss_D: -0.018689 Loss_G: -0.001543 Loss_D_real: -0.003945 Loss_D_fake 0.014744
[1696/5000][10/535][175035] Loss_D: -0.018138 Loss_G: -0.005375 Loss_D_real: 0.001775 Loss_D_fake 0.019913
[1696/5000][15/535][175036] Loss_D: -0.018635 Loss_G: -0.007949 Loss_D_real: 0.000172 Loss_D_fake 0.018807
[1696/5000][20/535][175037] Loss_D: -0.018046 Loss_G: 0.019166 Loss_D_real: -0.027434 Loss_D_fake -0.009388
[1696/5000][25/535][175038] Loss_D: -0.018622 Loss_G: 0.009814 Loss_D_real: -0.012173 Loss_D_fake 0.006450
[1696/5000][30/535][175039] Loss_D: -0.019886 Loss_G: 0.010311 Loss_D_real: -0.012136 Loss_D_fake 0.007751
[1696/5000][35/535][175040] Loss_D: -0.018377 Loss_G: 0.012310 Loss_D_real: -0.017464 Loss_D_fake 0.000912
[1696/5000][40/535][175041] Loss_D: -0.018540 Loss_G: -0.006040 Loss_D_real: -0.000413 Loss_D_fake 0.018127
[1696/5000][45/535][175042] Loss_D: -0.019972 Loss_G: -0.016095 Loss_D_real: -0.014036 Loss_D_fake 0.005935
[1696/5000][50/535][175043] Loss_D: -0.019995 Loss_G: 0.018790 Loss_D_real: -0.014318 Loss_D_fake 0.005677
[1696/5000][55/535][175044] Loss_D: -0.019516 Loss_G: 0.012800 Loss_D_real: -0.022310 Loss_D_fake -0.002795
[1696/5000][60/535][175045] Loss_D: -0.019340 Loss_G: -0.010650 Loss_D_real: -0.017318 Loss_D_fake 0.002022
[1696/5000][65/535][175046] Loss_D: -0.018138 Loss_G: 0.028784 Loss_D_real: -0.016941 Loss_D_fake 0.001197
[1696/5000][70/535][175047] Loss_D: -0.018528 Loss_G: 0.013292 Loss_D_real: -0.013698 Loss_D_fake 0.004831
[1696/5000][75/535][175048] Loss_D: -0.019250 Loss_G: 0.006697 Loss_D_real: -0.020216 Loss_D_fake -0.000967
[1696/5000][80/535][175049] Loss_D: -0.017319 Loss_G: -0.007716 Loss_D_real: -0.007744 Loss_D_fake 0.009575
[1696/5000][85/535][175050] Loss_D: -0.018051 Loss_G: 0.012359 Loss_D_real: -0.027976 Loss_D_fake -0.009926
[1696/5000][90/535][175051] Loss_D: -0.018776 Loss_G: 0.012642 Loss_D_real: -0.015353 Loss_D_fake 0.003422
[1696/5000][95/535][175052] Loss_D: -0.017761 Loss_G: -0.002259 Loss_D_real: -0.003716 Loss_D_fake 0.014045
[1696/5000][100/535][175053] Loss_D: -0.017903 Loss_G: 0.011311 Loss_D_real: -0.032907 Loss_D_fake -0.015004
[1696/5000][105/535][175054] Loss_D: -0.019133 Loss_G: 0.009834 Loss_D_real: -0.019051 Loss_D_fake 0.000081
[1696/5000][110/535][175055] Loss_D: -0.017712 Loss_G: -0.004247 Loss_D_real: -0.006889 Loss_D_fake 0.010822
[1696/5000][115/535][175056] Loss_D: -0.018885 Loss_G: 0.010162 Loss_D_real: -0.013936 Loss_D_fake 0.004950
[1696/5000][120/535][175057] Loss_D: -0.019751 Loss_G: 0.005952 Loss_D_real: -0.014911 Loss_D_fake 0.004840
[1696/5000][125/535][175058] Loss_D: -0.018489 Loss_G: 0.006985 Loss_D_real: 0.002407 Loss_D_fake 0.020896
[1696/5000][130/535][175059] Loss_D: -0.018719 Loss_G: 0.008694 Loss_D_real: -0.019448 Loss_D_fake -0.000728
[1696/5000][135/535][175060] Loss_D: -0.018534 Loss_G: 0.000420 Loss_D_real: -0.003189 Loss_D_fake 0.015345
[1696/5000][140/535][175061] Loss_D: -0.017912 Loss_G: 0.005192 Loss_D_real: -0.015139 Loss_D_fake 0.002774
[1696/5000][145/535][175062] Loss_D: -0.017780 Loss_G: 0.014515 Loss_D_real: -0.007788 Loss_D_fake 0.009991
[1696/5000][150/535][175063] Loss_D: -0.018313 Loss_G: -0.005486 Loss_D_real: -0.015136 Loss_D_fake 0.003176
[1696/5000][155/535][175064] Loss_D: -0.018213 Loss_G: 0.002066 Loss_D_real: -0.014439 Loss_D_fake 0.003774
[1696/5000][160/535][175065] Loss_D: -0.018350 Loss_G: 0.012210 Loss_D_real: -0.025165 Loss_D_fake -0.006815
[1696/5000][165/535][175066] Loss_D: -0.018465 Loss_G: -0.003327 Loss_D_real: -0.011944 Loss_D_fake 0.006521
[1696/5000][170/535][175067] Loss_D: -0.019247 Loss_G: 0.018963 Loss_D_real: -0.013157 Loss_D_fake 0.006090
[1696/5000][175/535][175068] Loss_D: -0.017351 Loss_G: 0.015135 Loss_D_real: -0.018080 Loss_D_fake -0.000729
[1696/5000][180/535][175069] Loss_D: -0.017899 Loss_G: 0.016437 Loss_D_real: -0.030909 Loss_D_fake -0.013009
[1696/5000][185/535][175070] Loss_D: -0.019094 Loss_G: -0.001855 Loss_D_real: -0.001979 Loss_D_fake 0.017115
[1696/5000][190/535][175071] Loss_D: -0.019096 Loss_G: 0.010281 Loss_D_real: -0.021145 Loss_D_fake -0.002049
[1696/5000][195/535][175072] Loss_D: -0.019971 Loss_G: 0.015252 Loss_D_real: -0.020034 Loss_D_fake -0.000064
[1696/5000][200/535][175073] Loss_D: -0.018512 Loss_G: 0.010951 Loss_D_real: -0.022182 Loss_D_fake -0.003670
[1696/5000][205/535][175074] Loss_D: -0.018799 Loss_G: 0.004699 Loss_D_real: -0.013359 Loss_D_fake 0.005440
[1696/5000][210/535][175075] Loss_D: -0.019427 Loss_G: -0.000548 Loss_D_real: -0.005354 Loss_D_fake 0.014073
[1696/5000][215/535][175076] Loss_D: -0.019332 Loss_G: 0.007247 Loss_D_real: -0.005485 Loss_D_fake 0.013847
[1696/5000][220/535][175077] Loss_D: -0.017337 Loss_G: -0.010710 Loss_D_real: 0.000909 Loss_D_fake 0.018245
[1696/5000][225/535][175078] Loss_D: -0.018302 Loss_G: -0.002469 Loss_D_real: -0.003167 Loss_D_fake 0.015135
[1696/5000][230/535][175079] Loss_D: -0.018887 Loss_G: 0.002988 Loss_D_real: -0.007003 Loss_D_fake 0.011884
[1696/5000][235/535][175080] Loss_D: -0.019032 Loss_G: 0.014396 Loss_D_real: -0.019886 Loss_D_fake -0.000853
[1696/5000][240/535][175081] Loss_D: -0.018517 Loss_G: 0.000555 Loss_D_real: -0.011109 Loss_D_fake 0.007408
[1696/5000][245/535][175082] Loss_D: -0.017467 Loss_G: 0.022552 Loss_D_real: -0.028004 Loss_D_fake -0.010537
[1696/5000][250/535][175083] Loss_D: -0.018900 Loss_G: 0.026037 Loss_D_real: -0.028572 Loss_D_fake -0.009672
[1696/5000][255/535][175084] Loss_D: -0.019473 Loss_G: 0.017359 Loss_D_real: -0.030745 Loss_D_fake -0.011272
[1696/5000][260/535][175085] Loss_D: -0.019894 Loss_G: 0.003877 Loss_D_real: -0.012042 Loss_D_fake 0.007852
[1696/5000][265/535][175086] Loss_D: -0.020322 Loss_G: 0.016062 Loss_D_real: -0.018561 Loss_D_fake 0.001761
[1696/5000][270/535][175087] Loss_D: -0.019189 Loss_G: 0.014795 Loss_D_real: -0.020267 Loss_D_fake -0.001078
[1696/5000][275/535][175088] Loss_D: -0.019029 Loss_G: 0.004838 Loss_D_real: -0.010232 Loss_D_fake 0.008798
[1696/5000][280/535][175089] Loss_D: -0.020777 Loss_G: -0.003983 Loss_D_real: -0.022528 Loss_D_fake -0.001751
[1696/5000][285/535][175090] Loss_D: -0.019733 Loss_G: 0.003529 Loss_D_real: -0.014527 Loss_D_fake 0.005207
[1696/5000][290/535][175091] Loss_D: -0.020885 Loss_G: -0.004206 Loss_D_real: -0.011033 Loss_D_fake 0.009852
[1696/5000][295/535][175092] Loss_D: -0.019025 Loss_G: -0.000061 Loss_D_real: -0.010211 Loss_D_fake 0.008814
[1696/5000][300/535][175093] Loss_D: -0.017791 Loss_G: 0.008621 Loss_D_real: -0.034662 Loss_D_fake -0.016871
[1696/5000][305/535][175094] Loss_D: -0.018234 Loss_G: -0.004805 Loss_D_real: -0.006599 Loss_D_fake 0.011635
[1696/5000][310/535][175095] Loss_D: -0.018032 Loss_G: 0.008164 Loss_D_real: -0.010200 Loss_D_fake 0.007832
[1696/5000][315/535][175096] Loss_D: -0.018504 Loss_G: 0.021696 Loss_D_real: -0.022531 Loss_D_fake -0.004027
[1696/5000][320/535][175097] Loss_D: -0.018877 Loss_G: 0.019532 Loss_D_real: -0.022840 Loss_D_fake -0.003963
[1696/5000][325/535][175098] Loss_D: -0.018190 Loss_G: -0.009113 Loss_D_real: 0.003959 Loss_D_fake 0.022149
[1696/5000][330/535][175099] Loss_D: -0.016355 Loss_G: 0.009089 Loss_D_real: -0.038068 Loss_D_fake -0.021713
[1696/5000][335/535][175100] Loss_D: -0.018556 Loss_G: 0.001091 Loss_D_real: -0.017102 Loss_D_fake 0.001454
[1696/5000][340/535][175101] Loss_D: -0.018834 Loss_G: 0.012590 Loss_D_real: -0.012657 Loss_D_fake 0.006177
[1696/5000][345/535][175102] Loss_D: -0.018342 Loss_G: -0.001918 Loss_D_real: -0.010284 Loss_D_fake 0.008058
[1696/5000][350/535][175103] Loss_D: -0.018220 Loss_G: 0.019985 Loss_D_real: -0.020323 Loss_D_fake -0.002103
[1696/5000][355/535][175104] Loss_D: -0.019850 Loss_G: -0.000077 Loss_D_real: -0.006478 Loss_D_fake 0.013372
[1696/5000][360/535][175105] Loss_D: -0.018894 Loss_G: 0.006194 Loss_D_real: -0.016292 Loss_D_fake 0.002603
[1696/5000][365/535][175106] Loss_D: -0.018350 Loss_G: 0.012325 Loss_D_real: -0.010319 Loss_D_fake 0.008031
[1696/5000][370/535][175107] Loss_D: -0.020304 Loss_G: -0.002607 Loss_D_real: -0.013637 Loss_D_fake 0.006667
[1696/5000][375/535][175108] Loss_D: -0.018499 Loss_G: -0.020577 Loss_D_real: -0.002285 Loss_D_fake 0.016214
[1696/5000][380/535][175109] Loss_D: -0.017399 Loss_G: 0.010233 Loss_D_real: -0.009776 Loss_D_fake 0.007622
[1696/5000][385/535][175110] Loss_D: -0.019901 Loss_G: 0.012928 Loss_D_real: -0.006691 Loss_D_fake 0.013210
[1696/5000][390/535][175111] Loss_D: -0.018646 Loss_G: -0.014929 Loss_D_real: -0.013559 Loss_D_fake 0.005086
[1696/5000][395/535][175112] Loss_D: -0.019050 Loss_G: 0.013147 Loss_D_real: -0.020789 Loss_D_fake -0.001739
[1696/5000][400/535][175113] Loss_D: -0.018755 Loss_G: -0.002631 Loss_D_real: -0.007935 Loss_D_fake 0.010820
[1696/5000][405/535][175114] Loss_D: -0.018974 Loss_G: 0.013332 Loss_D_real: -0.006997 Loss_D_fake 0.011977
[1696/5000][410/535][175115] Loss_D: -0.018612 Loss_G: -0.007567 Loss_D_real: -0.012325 Loss_D_fake 0.006286
[1696/5000][415/535][175116] Loss_D: -0.018387 Loss_G: 0.002506 Loss_D_real: -0.010094 Loss_D_fake 0.008293
[1696/5000][420/535][175117] Loss_D: -0.019416 Loss_G: -0.002162 Loss_D_real: -0.008660 Loss_D_fake 0.010755
[1696/5000][425/535][175118] Loss_D: -0.017644 Loss_G: -0.002424 Loss_D_real: -0.006163 Loss_D_fake 0.011481
[1696/5000][430/535][175119] Loss_D: -0.019458 Loss_G: -0.007668 Loss_D_real: -0.016447 Loss_D_fake 0.003011
[1696/5000][435/535][175120] Loss_D: -0.019118 Loss_G: -0.007928 Loss_D_real: -0.015196 Loss_D_fake 0.003922
[1696/5000][440/535][175121] Loss_D: -0.018864 Loss_G: 0.018950 Loss_D_real: -0.013613 Loss_D_fake 0.005251
[1696/5000][445/535][175122] Loss_D: -0.017964 Loss_G: 0.016129 Loss_D_real: -0.025058 Loss_D_fake -0.007094
[1696/5000][450/535][175123] Loss_D: -0.018955 Loss_G: -0.012038 Loss_D_real: -0.008828 Loss_D_fake 0.010127
[1696/5000][455/535][175124] Loss_D: -0.018575 Loss_G: 0.000529 Loss_D_real: -0.001976 Loss_D_fake 0.016599
[1696/5000][460/535][175125] Loss_D: -0.017637 Loss_G: -0.010087 Loss_D_real: -0.007576 Loss_D_fake 0.010061
[1696/5000][465/535][175126] Loss_D: -0.018557 Loss_G: 0.022900 Loss_D_real: -0.015523 Loss_D_fake 0.003034
[1696/5000][470/535][175127] Loss_D: -0.020139 Loss_G: 0.016167 Loss_D_real: -0.013485 Loss_D_fake 0.006655
[1696/5000][475/535][175128] Loss_D: -0.018713 Loss_G: 0.022864 Loss_D_real: -0.013028 Loss_D_fake 0.005684
[1696/5000][480/535][175129] Loss_D: -0.019136 Loss_G: 0.008806 Loss_D_real: -0.003112 Loss_D_fake 0.016024
[1696/5000][485/535][175130] Loss_D: -0.019295 Loss_G: -0.003864 Loss_D_real: -0.004390 Loss_D_fake 0.014904
[1696/5000][490/535][175131] Loss_D: -0.019768 Loss_G: -0.002307 Loss_D_real: -0.022223 Loss_D_fake -0.002455
[1696/5000][495/535][175132] Loss_D: -0.019827 Loss_G: -0.016201 Loss_D_real: -0.013609 Loss_D_fake 0.006219
[1696/5000][500/535][175133] Loss_D: -0.017742 Loss_G: 0.018310 Loss_D_real: -0.015510 Loss_D_fake 0.002232
[1696/5000][505/535][175134] Loss_D: -0.017996 Loss_G: 0.003635 Loss_D_real: -0.012700 Loss_D_fake 0.005296
[1696/5000][510/535][175135] Loss_D: -0.018264 Loss_G: 0.016812 Loss_D_real: -0.020712 Loss_D_fake -0.002448
[1696/5000][515/535][175136] Loss_D: -0.019327 Loss_G: 0.015395 Loss_D_real: -0.001099 Loss_D_fake 0.018228
[1696/5000][520/535][175137] Loss_D: -0.020051 Loss_G: 0.005908 Loss_D_real: -0.011949 Loss_D_fake 0.008102
[1696/5000][525/535][175138] Loss_D: -0.017023 Loss_G: 0.015103 Loss_D_real: -0.024262 Loss_D_fake -0.007239
[1696/5000][530/535][175139] Loss_D: -0.018453 Loss_G: 0.018310 Loss_D_real: -0.004626 Loss_D_fake 0.013828
[1696/5000][535/535][175140] Loss_D: -0.018764 Loss_G: 0.011125 Loss_D_real: -0.013896 Loss_D_fake 0.004868
[1697/5000][5/535][175141] Loss_D: -0.018253 Loss_G: 0.007715 Loss_D_real: -0.012203 Loss_D_fake 0.006050
[1697/5000][10/535][175142] Loss_D: -0.019230 Loss_G: 0.010668 Loss_D_real: -0.005801 Loss_D_fake 0.013428
[1697/5000][15/535][175143] Loss_D: -0.017934 Loss_G: 0.009497 Loss_D_real: -0.022469 Loss_D_fake -0.004535
[1697/5000][20/535][175144] Loss_D: -0.016842 Loss_G: 0.003170 Loss_D_real: -0.005773 Loss_D_fake 0.011069
[1697/5000][25/535][175145] Loss_D: -0.018005 Loss_G: -0.011728 Loss_D_real: 0.004487 Loss_D_fake 0.022491
[1697/5000][30/535][175146] Loss_D: -0.017846 Loss_G: 0.009979 Loss_D_real: -0.016159 Loss_D_fake 0.001687
[1697/5000][35/535][175147] Loss_D: -0.018488 Loss_G: -0.009133 Loss_D_real: 0.003239 Loss_D_fake 0.021726
[1697/5000][40/535][175148] Loss_D: -0.018401 Loss_G: 0.013487 Loss_D_real: 0.001095 Loss_D_fake 0.019496
[1697/5000][45/535][175149] Loss_D: -0.018726 Loss_G: 0.008921 Loss_D_real: -0.017388 Loss_D_fake 0.001338
[1697/5000][50/535][175150] Loss_D: -0.018316 Loss_G: 0.021855 Loss_D_real: -0.023511 Loss_D_fake -0.005196
[1697/5000][55/535][175151] Loss_D: -0.018770 Loss_G: 0.009018 Loss_D_real: -0.009133 Loss_D_fake 0.009637
[1697/5000][60/535][175152] Loss_D: -0.019125 Loss_G: -0.011600 Loss_D_real: -0.028599 Loss_D_fake -0.009474
[1697/5000][65/535][175153] Loss_D: -0.018738 Loss_G: -0.006825 Loss_D_real: -0.004517 Loss_D_fake 0.014221
[1697/5000][70/535][175154] Loss_D: -0.018879 Loss_G: 0.026545 Loss_D_real: -0.029722 Loss_D_fake -0.010844
[1697/5000][75/535][175155] Loss_D: -0.019588 Loss_G: 0.007143 Loss_D_real: -0.007345 Loss_D_fake 0.012243
[1697/5000][80/535][175156] Loss_D: -0.018406 Loss_G: 0.002383 Loss_D_real: -0.006137 Loss_D_fake 0.012269
[1697/5000][85/535][175157] Loss_D: -0.019499 Loss_G: 0.006935 Loss_D_real: -0.028377 Loss_D_fake -0.008878
[1697/5000][90/535][175158] Loss_D: -0.017801 Loss_G: 0.030092 Loss_D_real: -0.022344 Loss_D_fake -0.004543
[1697/5000][95/535][175159] Loss_D: -0.017169 Loss_G: -0.013365 Loss_D_real: 0.005480 Loss_D_fake 0.022649
[1697/5000][100/535][175160] Loss_D: -0.019442 Loss_G: 0.009050 Loss_D_real: -0.009257 Loss_D_fake 0.010185
[1697/5000][105/535][175161] Loss_D: -0.019028 Loss_G: -0.008209 Loss_D_real: -0.003199 Loss_D_fake 0.015829
[1697/5000][110/535][175162] Loss_D: -0.019114 Loss_G: 0.003352 Loss_D_real: -0.016741 Loss_D_fake 0.002373
[1697/5000][115/535][175163] Loss_D: -0.019526 Loss_G: 0.011176 Loss_D_real: -0.013287 Loss_D_fake 0.006240
[1697/5000][120/535][175164] Loss_D: -0.018648 Loss_G: -0.000529 Loss_D_real: -0.009233 Loss_D_fake 0.009416
[1697/5000][125/535][175165] Loss_D: -0.019183 Loss_G: 0.023869 Loss_D_real: -0.016776 Loss_D_fake 0.002407
[1697/5000][130/535][175166] Loss_D: -0.018021 Loss_G: 0.005586 Loss_D_real: -0.028182 Loss_D_fake -0.010161
[1697/5000][135/535][175167] Loss_D: -0.018392 Loss_G: 0.023800 Loss_D_real: -0.016578 Loss_D_fake 0.001813
[1697/5000][140/535][175168] Loss_D: -0.017692 Loss_G: 0.011232 Loss_D_real: -0.021020 Loss_D_fake -0.003328
[1697/5000][145/535][175169] Loss_D: -0.019075 Loss_G: 0.011115 Loss_D_real: -0.016411 Loss_D_fake 0.002664
[1697/5000][150/535][175170] Loss_D: -0.019255 Loss_G: 0.005500 Loss_D_real: -0.007359 Loss_D_fake 0.011896
[1697/5000][155/535][175171] Loss_D: -0.018995 Loss_G: 0.016416 Loss_D_real: -0.014508 Loss_D_fake 0.004487
[1697/5000][160/535][175172] Loss_D: -0.018578 Loss_G: -0.010013 Loss_D_real: -0.006391 Loss_D_fake 0.012187
[1697/5000][165/535][175173] Loss_D: -0.017898 Loss_G: 0.001884 Loss_D_real: -0.018244 Loss_D_fake -0.000346
[1697/5000][170/535][175174] Loss_D: -0.017527 Loss_G: 0.001773 Loss_D_real: -0.032954 Loss_D_fake -0.015427
[1697/5000][175/535][175175] Loss_D: -0.018934 Loss_G: 0.005890 Loss_D_real: -0.014171 Loss_D_fake 0.004763
[1697/5000][180/535][175176] Loss_D: -0.018762 Loss_G: 0.015461 Loss_D_real: -0.014312 Loss_D_fake 0.004450
[1697/5000][185/535][175177] Loss_D: -0.018279 Loss_G: 0.006605 Loss_D_real: -0.017574 Loss_D_fake 0.000705
[1697/5000][190/535][175178] Loss_D: -0.017737 Loss_G: -0.005968 Loss_D_real: -0.003375 Loss_D_fake 0.014362
[1697/5000][195/535][175179] Loss_D: -0.018313 Loss_G: 0.011909 Loss_D_real: -0.015387 Loss_D_fake 0.002926
[1697/5000][200/535][175180] Loss_D: -0.018498 Loss_G: 0.006887 Loss_D_real: -0.017263 Loss_D_fake 0.001235
[1697/5000][205/535][175181] Loss_D: -0.018008 Loss_G: 0.017113 Loss_D_real: -0.024478 Loss_D_fake -0.006471
[1697/5000][210/535][175182] Loss_D: -0.019006 Loss_G: 0.003692 Loss_D_real: -0.008487 Loss_D_fake 0.010519
[1697/5000][215/535][175183] Loss_D: -0.018291 Loss_G: 0.024014 Loss_D_real: -0.019867 Loss_D_fake -0.001576
[1697/5000][220/535][175184] Loss_D: -0.019359 Loss_G: 0.007772 Loss_D_real: 0.002627 Loss_D_fake 0.021986
[1697/5000][225/535][175185] Loss_D: -0.017374 Loss_G: 0.016722 Loss_D_real: -0.023395 Loss_D_fake -0.006021
[1697/5000][230/535][175186] Loss_D: -0.018684 Loss_G: -0.003234 Loss_D_real: -0.014490 Loss_D_fake 0.004194
[1697/5000][235/535][175187] Loss_D: -0.018810 Loss_G: -0.012020 Loss_D_real: -0.001984 Loss_D_fake 0.016826
[1697/5000][240/535][175188] Loss_D: -0.018395 Loss_G: 0.006742 Loss_D_real: -0.014855 Loss_D_fake 0.003540
[1697/5000][245/535][175189] Loss_D: -0.019083 Loss_G: 0.012454 Loss_D_real: -0.016948 Loss_D_fake 0.002135
[1697/5000][250/535][175190] Loss_D: -0.019743 Loss_G: 0.013317 Loss_D_real: -0.011121 Loss_D_fake 0.008622
[1697/5000][255/535][175191] Loss_D: -0.020121 Loss_G: 0.004154 Loss_D_real: -0.015697 Loss_D_fake 0.004424
[1697/5000][260/535][175192] Loss_D: -0.018187 Loss_G: 0.017557 Loss_D_real: -0.028265 Loss_D_fake -0.010078
[1697/5000][265/535][175193] Loss_D: -0.018362 Loss_G: 0.000307 Loss_D_real: -0.022825 Loss_D_fake -0.004463
[1697/5000][270/535][175194] Loss_D: -0.018484 Loss_G: -0.013632 Loss_D_real: -0.004190 Loss_D_fake 0.014293
[1697/5000][275/535][175195] Loss_D: -0.019020 Loss_G: 0.009099 Loss_D_real: -0.002919 Loss_D_fake 0.016101
[1697/5000][280/535][175196] Loss_D: -0.015974 Loss_G: -0.013320 Loss_D_real: 0.021089 Loss_D_fake 0.037064
[1697/5000][285/535][175197] Loss_D: -0.017355 Loss_G: 0.017212 Loss_D_real: -0.021282 Loss_D_fake -0.003927
[1697/5000][290/535][175198] Loss_D: -0.018608 Loss_G: 0.005287 Loss_D_real: -0.032406 Loss_D_fake -0.013798
[1697/5000][295/535][175199] Loss_D: -0.019815 Loss_G: 0.014352 Loss_D_real: -0.010469 Loss_D_fake 0.009346
[1697/5000][300/535][175200] Loss_D: -0.019268 Loss_G: 0.007358 Loss_D_real: -0.016985 Loss_D_fake 0.002283
[1697/5000][305/535][175201] Loss_D: -0.019055 Loss_G: 0.006295 Loss_D_real: -0.030190 Loss_D_fake -0.011135
[1697/5000][310/535][175202] Loss_D: -0.018706 Loss_G: 0.006424 Loss_D_real: -0.026785 Loss_D_fake -0.008078
[1697/5000][315/535][175203] Loss_D: -0.018726 Loss_G: -0.010231 Loss_D_real: 0.003766 Loss_D_fake 0.022492
[1697/5000][320/535][175204] Loss_D: -0.018312 Loss_G: 0.003547 Loss_D_real: -0.007215 Loss_D_fake 0.011097
[1697/5000][325/535][175205] Loss_D: -0.018377 Loss_G: 0.009435 Loss_D_real: -0.002947 Loss_D_fake 0.015430
[1697/5000][330/535][175206] Loss_D: -0.017790 Loss_G: 0.007062 Loss_D_real: -0.027613 Loss_D_fake -0.009823
[1697/5000][335/535][175207] Loss_D: -0.019039 Loss_G: -0.000714 Loss_D_real: -0.013240 Loss_D_fake 0.005799
[1697/5000][340/535][175208] Loss_D: -0.018464 Loss_G: -0.009124 Loss_D_real: -0.002079 Loss_D_fake 0.016385
[1697/5000][345/535][175209] Loss_D: -0.018287 Loss_G: 0.013275 Loss_D_real: -0.026175 Loss_D_fake -0.007888
[1697/5000][350/535][175210] Loss_D: -0.017827 Loss_G: 0.016594 Loss_D_real: -0.024575 Loss_D_fake -0.006748
[1697/5000][355/535][175211] Loss_D: -0.019005 Loss_G: 0.006232 Loss_D_real: -0.013021 Loss_D_fake 0.005984
[1697/5000][360/535][175212] Loss_D: -0.020269 Loss_G: 0.005584 Loss_D_real: -0.004449 Loss_D_fake 0.015820
[1697/5000][365/535][175213] Loss_D: -0.018479 Loss_G: 0.012619 Loss_D_real: -0.012707 Loss_D_fake 0.005772
[1697/5000][370/535][175214] Loss_D: -0.018628 Loss_G: 0.026253 Loss_D_real: -0.023209 Loss_D_fake -0.004581
[1697/5000][375/535][175215] Loss_D: -0.019041 Loss_G: 0.005586 Loss_D_real: -0.019889 Loss_D_fake -0.000848
[1697/5000][380/535][175216] Loss_D: -0.018980 Loss_G: 0.024110 Loss_D_real: -0.031706 Loss_D_fake -0.012725
[1697/5000][385/535][175217] Loss_D: -0.018734 Loss_G: 0.004999 Loss_D_real: -0.011639 Loss_D_fake 0.007095
[1697/5000][390/535][175218] Loss_D: -0.018534 Loss_G: 0.005870 Loss_D_real: -0.014070 Loss_D_fake 0.004465
[1697/5000][395/535][175219] Loss_D: -0.019789 Loss_G: -0.003360 Loss_D_real: -0.005447 Loss_D_fake 0.014343
[1697/5000][400/535][175220] Loss_D: -0.019566 Loss_G: 0.024488 Loss_D_real: -0.026850 Loss_D_fake -0.007284
[1697/5000][405/535][175221] Loss_D: -0.018818 Loss_G: 0.010846 Loss_D_real: -0.022900 Loss_D_fake -0.004082
[1697/5000][410/535][175222] Loss_D: -0.019052 Loss_G: 0.012388 Loss_D_real: -0.020751 Loss_D_fake -0.001698
[1697/5000][415/535][175223] Loss_D: -0.019106 Loss_G: -0.001484 Loss_D_real: -0.014803 Loss_D_fake 0.004303
[1697/5000][420/535][175224] Loss_D: -0.018407 Loss_G: -0.001158 Loss_D_real: -0.007679 Loss_D_fake 0.010727
[1697/5000][425/535][175225] Loss_D: -0.018060 Loss_G: -0.014528 Loss_D_real: 0.004045 Loss_D_fake 0.022105
[1697/5000][430/535][175226] Loss_D: -0.018368 Loss_G: 0.004765 Loss_D_real: 0.000953 Loss_D_fake 0.019321
[1697/5000][435/535][175227] Loss_D: -0.018763 Loss_G: 0.004028 Loss_D_real: -0.014501 Loss_D_fake 0.004262
[1697/5000][440/535][175228] Loss_D: -0.017799 Loss_G: 0.023424 Loss_D_real: -0.022445 Loss_D_fake -0.004646
[1697/5000][445/535][175229] Loss_D: -0.018935 Loss_G: 0.019076 Loss_D_real: -0.004892 Loss_D_fake 0.014043
[1697/5000][450/535][175230] Loss_D: -0.018624 Loss_G: -0.004090 Loss_D_real: -0.009378 Loss_D_fake 0.009247
[1697/5000][455/535][175231] Loss_D: -0.018468 Loss_G: 0.005648 Loss_D_real: -0.006142 Loss_D_fake 0.012326
[1697/5000][460/535][175232] Loss_D: -0.017394 Loss_G: 0.004403 Loss_D_real: -0.013636 Loss_D_fake 0.003758
[1697/5000][465/535][175233] Loss_D: -0.018764 Loss_G: -0.014279 Loss_D_real: -0.004480 Loss_D_fake 0.014284
[1697/5000][470/535][175234] Loss_D: -0.017173 Loss_G: 0.009728 Loss_D_real: -0.024351 Loss_D_fake -0.007178
[1697/5000][475/535][175235] Loss_D: -0.018487 Loss_G: 0.009917 Loss_D_real: -0.015436 Loss_D_fake 0.003051
[1697/5000][480/535][175236] Loss_D: -0.019518 Loss_G: 0.022365 Loss_D_real: -0.011880 Loss_D_fake 0.007639
[1697/5000][485/535][175237] Loss_D: -0.018619 Loss_G: 0.018625 Loss_D_real: -0.024508 Loss_D_fake -0.005888
[1697/5000][490/535][175238] Loss_D: -0.018747 Loss_G: -0.015244 Loss_D_real: 0.006923 Loss_D_fake 0.025670
[1697/5000][495/535][175239] Loss_D: -0.018892 Loss_G: 0.012377 Loss_D_real: -0.022146 Loss_D_fake -0.003254
[1697/5000][500/535][175240] Loss_D: -0.018908 Loss_G: 0.010806 Loss_D_real: -0.025199 Loss_D_fake -0.006291
[1697/5000][505/535][175241] Loss_D: -0.018976 Loss_G: -0.006661 Loss_D_real: -0.009512 Loss_D_fake 0.009465
[1697/5000][510/535][175242] Loss_D: -0.019194 Loss_G: 0.004809 Loss_D_real: -0.012146 Loss_D_fake 0.007047
[1697/5000][515/535][175243] Loss_D: -0.018968 Loss_G: 0.030122 Loss_D_real: -0.023356 Loss_D_fake -0.004388
[1697/5000][520/535][175244] Loss_D: -0.018174 Loss_G: -0.002926 Loss_D_real: -0.008247 Loss_D_fake 0.009927
[1697/5000][525/535][175245] Loss_D: -0.018378 Loss_G: 0.005973 Loss_D_real: -0.007250 Loss_D_fake 0.011128
[1697/5000][530/535][175246] Loss_D: -0.016906 Loss_G: -0.004002 Loss_D_real: -0.007814 Loss_D_fake 0.009092
[1697/5000][535/535][175247] Loss_D: -0.014094 Loss_G: -0.016317 Loss_D_real: -0.001262 Loss_D_fake 0.012831
[1698/5000][5/535][175248] Loss_D: -0.019333 Loss_G: 0.001666 Loss_D_real: -0.007527 Loss_D_fake 0.011806
[1698/5000][10/535][175249] Loss_D: -0.017036 Loss_G: 0.018352 Loss_D_real: -0.023888 Loss_D_fake -0.006851
[1698/5000][15/535][175250] Loss_D: -0.019113 Loss_G: 0.001562 Loss_D_real: -0.016616 Loss_D_fake 0.002497
[1698/5000][20/535][175251] Loss_D: -0.017236 Loss_G: -0.009880 Loss_D_real: 0.000928 Loss_D_fake 0.018164
[1698/5000][25/535][175252] Loss_D: -0.018026 Loss_G: 0.010070 Loss_D_real: -0.010637 Loss_D_fake 0.007389
[1698/5000][30/535][175253] Loss_D: -0.018826 Loss_G: 0.003753 Loss_D_real: -0.011449 Loss_D_fake 0.007376
[1698/5000][35/535][175254] Loss_D: -0.018488 Loss_G: 0.008323 Loss_D_real: -0.018175 Loss_D_fake 0.000313
[1698/5000][40/535][175255] Loss_D: -0.017952 Loss_G: -0.003863 Loss_D_real: -0.007630 Loss_D_fake 0.010322
[1698/5000][45/535][175256] Loss_D: -0.019044 Loss_G: 0.015872 Loss_D_real: -0.012113 Loss_D_fake 0.006931
[1698/5000][50/535][175257] Loss_D: -0.019096 Loss_G: 0.012235 Loss_D_real: -0.017912 Loss_D_fake 0.001183
[1698/5000][55/535][175258] Loss_D: -0.018941 Loss_G: 0.008434 Loss_D_real: -0.017824 Loss_D_fake 0.001117
[1698/5000][60/535][175259] Loss_D: -0.018707 Loss_G: 0.017664 Loss_D_real: -0.013450 Loss_D_fake 0.005257
[1698/5000][65/535][175260] Loss_D: -0.019057 Loss_G: -0.006715 Loss_D_real: -0.012968 Loss_D_fake 0.006089
[1698/5000][70/535][175261] Loss_D: -0.018048 Loss_G: 0.011400 Loss_D_real: -0.030061 Loss_D_fake -0.012013
[1698/5000][75/535][175262] Loss_D: -0.019186 Loss_G: 0.025294 Loss_D_real: -0.020831 Loss_D_fake -0.001645
[1698/5000][80/535][175263] Loss_D: -0.017542 Loss_G: 0.022001 Loss_D_real: -0.031883 Loss_D_fake -0.014341
[1698/5000][85/535][175264] Loss_D: -0.017877 Loss_G: 0.003839 Loss_D_real: -0.012099 Loss_D_fake 0.005778
[1698/5000][90/535][175265] Loss_D: -0.017844 Loss_G: 0.000408 Loss_D_real: -0.007735 Loss_D_fake 0.010109
[1698/5000][95/535][175266] Loss_D: -0.017768 Loss_G: 0.005652 Loss_D_real: -0.012001 Loss_D_fake 0.005767
[1698/5000][100/535][175267] Loss_D: -0.019461 Loss_G: 0.006199 Loss_D_real: -0.016817 Loss_D_fake 0.002644
[1698/5000][105/535][175268] Loss_D: -0.018670 Loss_G: 0.017293 Loss_D_real: -0.018240 Loss_D_fake 0.000430
[1698/5000][110/535][175269] Loss_D: -0.018425 Loss_G: -0.016207 Loss_D_real: 0.000005 Loss_D_fake 0.018429
[1698/5000][115/535][175270] Loss_D: -0.018634 Loss_G: 0.009614 Loss_D_real: -0.023032 Loss_D_fake -0.004398
[1698/5000][120/535][175271] Loss_D: -0.018970 Loss_G: 0.013367 Loss_D_real: -0.013768 Loss_D_fake 0.005202
[1698/5000][125/535][175272] Loss_D: -0.019253 Loss_G: -0.001160 Loss_D_real: -0.016786 Loss_D_fake 0.002468
[1698/5000][130/535][175273] Loss_D: -0.018151 Loss_G: 0.012817 Loss_D_real: -0.005304 Loss_D_fake 0.012847
[1698/5000][135/535][175274] Loss_D: -0.019321 Loss_G: -0.008878 Loss_D_real: -0.008021 Loss_D_fake 0.011300
[1698/5000][140/535][175275] Loss_D: -0.018997 Loss_G: -0.003586 Loss_D_real: -0.012415 Loss_D_fake 0.006582
[1698/5000][145/535][175276] Loss_D: -0.017983 Loss_G: 0.010734 Loss_D_real: -0.004015 Loss_D_fake 0.013968
[1698/5000][150/535][175277] Loss_D: -0.018107 Loss_G: 0.010521 Loss_D_real: -0.023061 Loss_D_fake -0.004954
[1698/5000][155/535][175278] Loss_D: -0.017802 Loss_G: 0.007818 Loss_D_real: -0.007581 Loss_D_fake 0.010221
[1698/5000][160/535][175279] Loss_D: -0.017151 Loss_G: -0.018754 Loss_D_real: -0.001450 Loss_D_fake 0.015701
[1698/5000][165/535][175280] Loss_D: -0.018811 Loss_G: 0.003146 Loss_D_real: -0.005869 Loss_D_fake 0.012942
[1698/5000][170/535][175281] Loss_D: -0.018745 Loss_G: 0.011369 Loss_D_real: -0.018452 Loss_D_fake 0.000293
[1698/5000][175/535][175282] Loss_D: -0.017993 Loss_G: 0.001076 Loss_D_real: -0.013494 Loss_D_fake 0.004499
[1698/5000][180/535][175283] Loss_D: -0.018657 Loss_G: -0.006919 Loss_D_real: -0.010550 Loss_D_fake 0.008107
[1698/5000][185/535][175284] Loss_D: -0.018282 Loss_G: -0.016059 Loss_D_real: 0.005892 Loss_D_fake 0.024175
[1698/5000][190/535][175285] Loss_D: -0.017773 Loss_G: 0.006908 Loss_D_real: -0.023731 Loss_D_fake -0.005958
[1698/5000][195/535][175286] Loss_D: -0.019572 Loss_G: 0.018337 Loss_D_real: -0.011232 Loss_D_fake 0.008340
[1698/5000][200/535][175287] Loss_D: -0.017752 Loss_G: 0.021223 Loss_D_real: -0.024928 Loss_D_fake -0.007176
[1698/5000][205/535][175288] Loss_D: -0.019253 Loss_G: 0.002092 Loss_D_real: -0.007951 Loss_D_fake 0.011302
[1698/5000][210/535][175289] Loss_D: -0.019262 Loss_G: 0.000156 Loss_D_real: -0.018282 Loss_D_fake 0.000980
[1698/5000][215/535][175290] Loss_D: -0.017672 Loss_G: -0.009009 Loss_D_real: -0.004022 Loss_D_fake 0.013650
[1698/5000][220/535][175291] Loss_D: -0.018254 Loss_G: 0.017991 Loss_D_real: -0.021378 Loss_D_fake -0.003124
[1698/5000][225/535][175292] Loss_D: -0.017896 Loss_G: 0.010246 Loss_D_real: -0.018013 Loss_D_fake -0.000117
[1698/5000][230/535][175293] Loss_D: -0.019219 Loss_G: 0.009449 Loss_D_real: -0.016719 Loss_D_fake 0.002500
[1698/5000][235/535][175294] Loss_D: -0.019113 Loss_G: 0.006222 Loss_D_real: -0.026363 Loss_D_fake -0.007250
[1698/5000][240/535][175295] Loss_D: -0.018432 Loss_G: -0.000852 Loss_D_real: -0.007021 Loss_D_fake 0.011412
[1698/5000][245/535][175296] Loss_D: -0.018215 Loss_G: -0.003864 Loss_D_real: -0.009529 Loss_D_fake 0.008686
[1698/5000][250/535][175297] Loss_D: -0.018807 Loss_G: -0.005059 Loss_D_real: -0.007362 Loss_D_fake 0.011446
[1698/5000][255/535][175298] Loss_D: -0.019911 Loss_G: 0.010648 Loss_D_real: -0.007686 Loss_D_fake 0.012225
[1698/5000][260/535][175299] Loss_D: -0.018325 Loss_G: 0.013607 Loss_D_real: -0.011488 Loss_D_fake 0.006836
[1698/5000][265/535][175300] Loss_D: -0.019195 Loss_G: 0.002739 Loss_D_real: -0.016692 Loss_D_fake 0.002504
[1698/5000][270/535][175301] Loss_D: -0.019040 Loss_G: 0.008775 Loss_D_real: -0.019145 Loss_D_fake -0.000105
[1698/5000][275/535][175302] Loss_D: -0.018550 Loss_G: -0.014374 Loss_D_real: -0.007031 Loss_D_fake 0.011519
[1698/5000][280/535][175303] Loss_D: -0.018602 Loss_G: 0.001223 Loss_D_real: -0.015347 Loss_D_fake 0.003254
[1698/5000][285/535][175304] Loss_D: -0.019410 Loss_G: 0.016233 Loss_D_real: -0.025595 Loss_D_fake -0.006185
[1698/5000][290/535][175305] Loss_D: -0.017191 Loss_G: -0.008439 Loss_D_real: 0.014489 Loss_D_fake 0.031680
[1698/5000][295/535][175306] Loss_D: -0.016988 Loss_G: 0.007432 Loss_D_real: -0.017182 Loss_D_fake -0.000194
[1698/5000][300/535][175307] Loss_D: -0.017902 Loss_G: 0.029885 Loss_D_real: -0.028235 Loss_D_fake -0.010333
[1698/5000][305/535][175308] Loss_D: -0.020095 Loss_G: 0.007934 Loss_D_real: -0.015439 Loss_D_fake 0.004657
[1698/5000][310/535][175309] Loss_D: -0.018386 Loss_G: 0.010577 Loss_D_real: -0.009200 Loss_D_fake 0.009186
[1698/5000][315/535][175310] Loss_D: -0.018550 Loss_G: 0.015210 Loss_D_real: -0.024376 Loss_D_fake -0.005826
[1698/5000][320/535][175311] Loss_D: -0.019278 Loss_G: -0.003304 Loss_D_real: -0.003172 Loss_D_fake 0.016105
[1698/5000][325/535][175312] Loss_D: -0.019987 Loss_G: -0.016553 Loss_D_real: -0.015431 Loss_D_fake 0.004556
[1698/5000][330/535][175313] Loss_D: -0.017707 Loss_G: 0.033898 Loss_D_real: -0.024186 Loss_D_fake -0.006479
[1698/5000][335/535][175314] Loss_D: -0.018805 Loss_G: 0.013299 Loss_D_real: -0.015694 Loss_D_fake 0.003111
[1698/5000][340/535][175315] Loss_D: -0.019161 Loss_G: -0.001547 Loss_D_real: -0.021608 Loss_D_fake -0.002447
[1698/5000][345/535][175316] Loss_D: -0.017598 Loss_G: 0.025505 Loss_D_real: -0.031086 Loss_D_fake -0.013489
[1698/5000][350/535][175317] Loss_D: -0.018915 Loss_G: 0.009229 Loss_D_real: -0.018148 Loss_D_fake 0.000767
[1698/5000][355/535][175318] Loss_D: -0.019499 Loss_G: 0.010433 Loss_D_real: -0.026086 Loss_D_fake -0.006587
[1698/5000][360/535][175319] Loss_D: -0.019369 Loss_G: 0.004976 Loss_D_real: -0.009414 Loss_D_fake 0.009955
[1698/5000][365/535][175320] Loss_D: -0.019930 Loss_G: 0.002339 Loss_D_real: -0.008750 Loss_D_fake 0.011180
[1698/5000][370/535][175321] Loss_D: -0.017973 Loss_G: 0.011428 Loss_D_real: -0.013434 Loss_D_fake 0.004540
[1698/5000][375/535][175322] Loss_D: -0.016259 Loss_G: -0.023019 Loss_D_real: 0.003855 Loss_D_fake 0.020113
[1698/5000][380/535][175323] Loss_D: -0.018458 Loss_G: 0.017406 Loss_D_real: -0.022439 Loss_D_fake -0.003981
[1698/5000][385/535][175324] Loss_D: -0.018677 Loss_G: 0.009317 Loss_D_real: -0.017648 Loss_D_fake 0.001030
[1698/5000][390/535][175325] Loss_D: -0.018456 Loss_G: 0.016035 Loss_D_real: -0.010552 Loss_D_fake 0.007904
[1698/5000][395/535][175326] Loss_D: -0.018852 Loss_G: 0.006095 Loss_D_real: -0.025572 Loss_D_fake -0.006720
[1698/5000][400/535][175327] Loss_D: -0.019123 Loss_G: 0.000087 Loss_D_real: 0.004847 Loss_D_fake 0.023969
[1698/5000][405/535][175328] Loss_D: -0.017776 Loss_G: 0.005546 Loss_D_real: -0.008887 Loss_D_fake 0.008889
[1698/5000][410/535][175329] Loss_D: -0.017423 Loss_G: 0.017959 Loss_D_real: -0.017609 Loss_D_fake -0.000186
[1698/5000][415/535][175330] Loss_D: -0.018896 Loss_G: 0.014931 Loss_D_real: -0.009562 Loss_D_fake 0.009333
[1698/5000][420/535][175331] Loss_D: -0.018043 Loss_G: 0.010484 Loss_D_real: -0.011928 Loss_D_fake 0.006115
[1698/5000][425/535][175332] Loss_D: -0.019172 Loss_G: 0.009882 Loss_D_real: -0.021517 Loss_D_fake -0.002346
[1698/5000][430/535][175333] Loss_D: -0.018177 Loss_G: -0.004636 Loss_D_real: -0.013883 Loss_D_fake 0.004295
[1698/5000][435/535][175334] Loss_D: -0.018971 Loss_G: 0.000971 Loss_D_real: -0.003847 Loss_D_fake 0.015124
[1698/5000][440/535][175335] Loss_D: -0.017020 Loss_G: -0.007931 Loss_D_real: -0.000832 Loss_D_fake 0.016188
[1698/5000][445/535][175336] Loss_D: -0.018743 Loss_G: 0.000277 Loss_D_real: -0.003037 Loss_D_fake 0.015706
[1698/5000][450/535][175337] Loss_D: -0.020353 Loss_G: 0.008335 Loss_D_real: -0.005481 Loss_D_fake 0.014872
[1698/5000][455/535][175338] Loss_D: -0.018238 Loss_G: 0.012332 Loss_D_real: -0.019815 Loss_D_fake -0.001577
[1698/5000][460/535][175339] Loss_D: -0.019432 Loss_G: -0.011371 Loss_D_real: -0.002401 Loss_D_fake 0.017031
[1698/5000][465/535][175340] Loss_D: -0.018240 Loss_G: 0.009775 Loss_D_real: -0.014941 Loss_D_fake 0.003299
[1698/5000][470/535][175341] Loss_D: -0.017710 Loss_G: -0.015192 Loss_D_real: -0.004370 Loss_D_fake 0.013340
[1698/5000][475/535][175342] Loss_D: -0.018014 Loss_G: 0.014538 Loss_D_real: -0.034433 Loss_D_fake -0.016419
[1698/5000][480/535][175343] Loss_D: -0.018728 Loss_G: -0.005537 Loss_D_real: -0.012968 Loss_D_fake 0.005760
[1698/5000][485/535][175344] Loss_D: -0.020650 Loss_G: 0.024949 Loss_D_real: -0.018019 Loss_D_fake 0.002631
[1698/5000][490/535][175345] Loss_D: -0.018836 Loss_G: 0.005080 Loss_D_real: -0.011621 Loss_D_fake 0.007215
[1698/5000][495/535][175346] Loss_D: -0.018875 Loss_G: 0.014014 Loss_D_real: -0.015795 Loss_D_fake 0.003080
[1698/5000][500/535][175347] Loss_D: -0.020379 Loss_G: -0.003400 Loss_D_real: 0.002900 Loss_D_fake 0.023278
[1698/5000][505/535][175348] Loss_D: -0.019855 Loss_G: -0.004916 Loss_D_real: -0.001634 Loss_D_fake 0.018221
[1698/5000][510/535][175349] Loss_D: -0.019710 Loss_G: 0.012692 Loss_D_real: -0.002603 Loss_D_fake 0.017107
[1698/5000][515/535][175350] Loss_D: -0.018102 Loss_G: -0.001740 Loss_D_real: -0.007010 Loss_D_fake 0.011092
[1698/5000][520/535][175351] Loss_D: -0.018932 Loss_G: 0.017010 Loss_D_real: -0.018229 Loss_D_fake 0.000703
[1698/5000][525/535][175352] Loss_D: -0.018341 Loss_G: -0.001078 Loss_D_real: -0.003937 Loss_D_fake 0.014404
[1698/5000][530/535][175353] Loss_D: -0.017593 Loss_G: -0.005852 Loss_D_real: -0.019043 Loss_D_fake -0.001450
[1698/5000][535/535][175354] Loss_D: -0.017023 Loss_G: -0.009543 Loss_D_real: -0.033674 Loss_D_fake -0.016651
[1699/5000][5/535][175355] Loss_D: -0.020099 Loss_G: 0.020834 Loss_D_real: -0.027646 Loss_D_fake -0.007547
[1699/5000][10/535][175356] Loss_D: -0.018225 Loss_G: -0.005032 Loss_D_real: -0.003393 Loss_D_fake 0.014832
[1699/5000][15/535][175357] Loss_D: -0.017873 Loss_G: 0.011858 Loss_D_real: -0.005726 Loss_D_fake 0.012147
[1699/5000][20/535][175358] Loss_D: -0.020063 Loss_G: 0.005964 Loss_D_real: -0.003556 Loss_D_fake 0.016508
[1699/5000][25/535][175359] Loss_D: -0.019040 Loss_G: 0.025691 Loss_D_real: -0.013577 Loss_D_fake 0.005462
[1699/5000][30/535][175360] Loss_D: -0.018192 Loss_G: 0.018956 Loss_D_real: -0.029218 Loss_D_fake -0.011026
[1699/5000][35/535][175361] Loss_D: -0.019082 Loss_G: -0.013051 Loss_D_real: -0.012492 Loss_D_fake 0.006591
[1699/5000][40/535][175362] Loss_D: -0.018579 Loss_G: 0.000922 Loss_D_real: -0.024290 Loss_D_fake -0.005711
[1699/5000][45/535][175363] Loss_D: -0.019109 Loss_G: 0.014986 Loss_D_real: -0.015536 Loss_D_fake 0.003573
[1699/5000][50/535][175364] Loss_D: -0.018945 Loss_G: 0.017612 Loss_D_real: -0.016841 Loss_D_fake 0.002104
[1699/5000][55/535][175365] Loss_D: -0.018023 Loss_G: 0.016276 Loss_D_real: -0.022396 Loss_D_fake -0.004373
[1699/5000][60/535][175366] Loss_D: -0.019063 Loss_G: 0.014054 Loss_D_real: -0.024112 Loss_D_fake -0.005049
[1699/5000][65/535][175367] Loss_D: -0.017304 Loss_G: -0.000562 Loss_D_real: -0.005878 Loss_D_fake 0.011426
[1699/5000][70/535][175368] Loss_D: -0.019108 Loss_G: 0.009273 Loss_D_real: -0.019878 Loss_D_fake -0.000770
[1699/5000][75/535][175369] Loss_D: -0.019176 Loss_G: 0.003287 Loss_D_real: -0.013096 Loss_D_fake 0.006081
[1699/5000][80/535][175370] Loss_D: -0.018863 Loss_G: 0.002174 Loss_D_real: -0.019461 Loss_D_fake -0.000597
[1699/5000][85/535][175371] Loss_D: -0.019254 Loss_G: 0.012067 Loss_D_real: -0.003712 Loss_D_fake 0.015542
[1699/5000][90/535][175372] Loss_D: -0.018173 Loss_G: 0.011908 Loss_D_real: -0.014793 Loss_D_fake 0.003380
[1699/5000][95/535][175373] Loss_D: -0.019187 Loss_G: 0.019405 Loss_D_real: -0.009905 Loss_D_fake 0.009282
[1699/5000][100/535][175374] Loss_D: -0.018296 Loss_G: 0.022050 Loss_D_real: -0.021372 Loss_D_fake -0.003076
[1699/5000][105/535][175375] Loss_D: -0.018207 Loss_G: 0.011477 Loss_D_real: -0.013639 Loss_D_fake 0.004568
[1699/5000][110/535][175376] Loss_D: -0.019172 Loss_G: 0.006929 Loss_D_real: -0.033025 Loss_D_fake -0.013853
[1699/5000][115/535][175377] Loss_D: -0.019159 Loss_G: 0.000494 Loss_D_real: -0.008953 Loss_D_fake 0.010206
[1699/5000][120/535][175378] Loss_D: -0.018415 Loss_G: 0.002932 Loss_D_real: -0.016283 Loss_D_fake 0.002132
[1699/5000][125/535][175379] Loss_D: -0.019395 Loss_G: 0.015071 Loss_D_real: -0.034322 Loss_D_fake -0.014927
[1699/5000][130/535][175380] Loss_D: -0.019136 Loss_G: -0.007999 Loss_D_real: -0.003046 Loss_D_fake 0.016091
[1699/5000][135/535][175381] Loss_D: -0.016835 Loss_G: 0.022050 Loss_D_real: -0.032499 Loss_D_fake -0.015664
[1699/5000][140/535][175382] Loss_D: -0.019094 Loss_G: 0.014964 Loss_D_real: -0.016946 Loss_D_fake 0.002148
[1699/5000][145/535][175383] Loss_D: -0.019255 Loss_G: -0.002730 Loss_D_real: -0.016099 Loss_D_fake 0.003157
[1699/5000][150/535][175384] Loss_D: -0.018247 Loss_G: 0.003102 Loss_D_real: -0.012211 Loss_D_fake 0.006036
[1699/5000][155/535][175385] Loss_D: -0.019249 Loss_G: 0.027087 Loss_D_real: -0.015284 Loss_D_fake 0.003965
[1699/5000][160/535][175386] Loss_D: -0.018308 Loss_G: 0.006890 Loss_D_real: -0.019103 Loss_D_fake -0.000794
[1699/5000][165/535][175387] Loss_D: -0.019844 Loss_G: 0.005862 Loss_D_real: -0.015964 Loss_D_fake 0.003880
[1699/5000][170/535][175388] Loss_D: -0.017133 Loss_G: 0.022694 Loss_D_real: -0.030557 Loss_D_fake -0.013424
[1699/5000][175/535][175389] Loss_D: -0.017858 Loss_G: -0.014638 Loss_D_real: 0.004216 Loss_D_fake 0.022074
[1699/5000][180/535][175390] Loss_D: -0.015592 Loss_G: 0.032628 Loss_D_real: -0.022636 Loss_D_fake -0.007044
[1699/5000][185/535][175391] Loss_D: -0.018300 Loss_G: 0.003692 Loss_D_real: -0.007296 Loss_D_fake 0.011004
[1699/5000][190/535][175392] Loss_D: -0.017724 Loss_G: 0.013648 Loss_D_real: -0.020192 Loss_D_fake -0.002469
[1699/5000][195/535][175393] Loss_D: -0.018557 Loss_G: 0.006353 Loss_D_real: 0.000249 Loss_D_fake 0.018806
[1699/5000][200/535][175394] Loss_D: -0.018424 Loss_G: 0.019664 Loss_D_real: -0.020304 Loss_D_fake -0.001879
[1699/5000][205/535][175395] Loss_D: -0.018007 Loss_G: -0.003810 Loss_D_real: 0.003454 Loss_D_fake 0.021461
[1699/5000][210/535][175396] Loss_D: -0.019029 Loss_G: 0.006225 Loss_D_real: -0.019174 Loss_D_fake -0.000145
[1699/5000][215/535][175397] Loss_D: -0.018506 Loss_G: 0.013357 Loss_D_real: -0.023782 Loss_D_fake -0.005276
[1699/5000][220/535][175398] Loss_D: -0.017079 Loss_G: -0.013605 Loss_D_real: 0.015521 Loss_D_fake 0.032601
[1699/5000][225/535][175399] Loss_D: -0.018978 Loss_G: 0.016247 Loss_D_real: -0.018356 Loss_D_fake 0.000622
[1699/5000][230/535][175400] Loss_D: -0.018974 Loss_G: -0.009313 Loss_D_real: -0.006537 Loss_D_fake 0.012437
[1699/5000][235/535][175401] Loss_D: -0.018925 Loss_G: 0.006795 Loss_D_real: -0.017907 Loss_D_fake 0.001018
[1699/5000][240/535][175402] Loss_D: -0.017465 Loss_G: 0.017422 Loss_D_real: -0.024959 Loss_D_fake -0.007494
[1699/5000][245/535][175403] Loss_D: -0.017956 Loss_G: 0.015745 Loss_D_real: -0.017861 Loss_D_fake 0.000095
[1699/5000][250/535][175404] Loss_D: -0.017709 Loss_G: 0.016364 Loss_D_real: -0.021802 Loss_D_fake -0.004093
[1699/5000][255/535][175405] Loss_D: -0.018247 Loss_G: -0.000199 Loss_D_real: -0.005338 Loss_D_fake 0.012910
[1699/5000][260/535][175406] Loss_D: -0.019124 Loss_G: 0.009969 Loss_D_real: -0.020735 Loss_D_fake -0.001611
[1699/5000][265/535][175407] Loss_D: -0.018578 Loss_G: 0.010939 Loss_D_real: -0.006082 Loss_D_fake 0.012496
[1699/5000][270/535][175408] Loss_D: -0.018524 Loss_G: 0.016517 Loss_D_real: -0.010205 Loss_D_fake 0.008319
[1699/5000][275/535][175409] Loss_D: -0.018360 Loss_G: -0.000631 Loss_D_real: -0.006326 Loss_D_fake 0.012035
[1699/5000][280/535][175410] Loss_D: -0.019204 Loss_G: -0.013873 Loss_D_real: -0.003956 Loss_D_fake 0.015248
[1699/5000][285/535][175411] Loss_D: -0.018061 Loss_G: 0.005817 Loss_D_real: -0.010326 Loss_D_fake 0.007735
[1699/5000][290/535][175412] Loss_D: -0.019018 Loss_G: 0.000378 Loss_D_real: -0.002021 Loss_D_fake 0.016996
[1699/5000][295/535][175413] Loss_D: -0.016949 Loss_G: 0.015312 Loss_D_real: -0.034863 Loss_D_fake -0.017914
[1699/5000][300/535][175414] Loss_D: -0.019927 Loss_G: 0.008611 Loss_D_real: -0.011751 Loss_D_fake 0.008177
[1699/5000][305/535][175415] Loss_D: -0.018846 Loss_G: 0.008120 Loss_D_real: -0.028158 Loss_D_fake -0.009312
[1699/5000][310/535][175416] Loss_D: -0.020179 Loss_G: -0.002428 Loss_D_real: -0.012516 Loss_D_fake 0.007663
[1699/5000][315/535][175417] Loss_D: -0.019056 Loss_G: 0.022705 Loss_D_real: -0.021910 Loss_D_fake -0.002854
[1699/5000][320/535][175418] Loss_D: -0.019129 Loss_G: 0.014913 Loss_D_real: -0.015113 Loss_D_fake 0.004016
[1699/5000][325/535][175419] Loss_D: -0.019474 Loss_G: 0.000539 Loss_D_real: -0.013845 Loss_D_fake 0.005629
[1699/5000][330/535][175420] Loss_D: -0.018054 Loss_G: -0.004849 Loss_D_real: -0.003402 Loss_D_fake 0.014652
[1699/5000][335/535][175421] Loss_D: -0.019475 Loss_G: 0.006160 Loss_D_real: -0.024795 Loss_D_fake -0.005320
[1699/5000][340/535][175422] Loss_D: -0.019274 Loss_G: 0.002651 Loss_D_real: -0.019463 Loss_D_fake -0.000190
[1699/5000][345/535][175423] Loss_D: -0.019276 Loss_G: 0.026369 Loss_D_real: -0.016096 Loss_D_fake 0.003180
[1699/5000][350/535][175424] Loss_D: -0.018292 Loss_G: -0.010920 Loss_D_real: -0.011115 Loss_D_fake 0.007177
[1699/5000][355/535][175425] Loss_D: -0.017684 Loss_G: 0.013472 Loss_D_real: -0.016635 Loss_D_fake 0.001050
[1699/5000][360/535][175426] Loss_D: -0.017950 Loss_G: 0.023628 Loss_D_real: -0.016963 Loss_D_fake 0.000987
[1699/5000][365/535][175427] Loss_D: -0.018951 Loss_G: 0.011962 Loss_D_real: -0.036059 Loss_D_fake -0.017108
[1699/5000][370/535][175428] Loss_D: -0.018418 Loss_G: 0.010875 Loss_D_real: -0.022216 Loss_D_fake -0.003798
[1699/5000][375/535][175429] Loss_D: -0.019564 Loss_G: 0.003600 Loss_D_real: -0.011736 Loss_D_fake 0.007828
[1699/5000][380/535][175430] Loss_D: -0.018699 Loss_G: 0.001507 Loss_D_real: -0.011932 Loss_D_fake 0.006767
[1699/5000][385/535][175431] Loss_D: -0.017089 Loss_G: -0.004554 Loss_D_real: -0.007053 Loss_D_fake 0.010036
[1699/5000][390/535][175432] Loss_D: -0.017073 Loss_G: -0.024239 Loss_D_real: 0.003420 Loss_D_fake 0.020493
[1699/5000][395/535][175433] Loss_D: -0.017543 Loss_G: 0.009688 Loss_D_real: -0.032360 Loss_D_fake -0.014817
[1699/5000][400/535][175434] Loss_D: -0.018443 Loss_G: 0.003898 Loss_D_real: -0.012952 Loss_D_fake 0.005491
[1699/5000][405/535][175435] Loss_D: -0.018162 Loss_G: 0.001045 Loss_D_real: -0.024641 Loss_D_fake -0.006479
[1699/5000][410/535][175436] Loss_D: -0.018306 Loss_G: 0.008549 Loss_D_real: -0.011052 Loss_D_fake 0.007254
[1699/5000][415/535][175437] Loss_D: -0.018076 Loss_G: 0.002356 Loss_D_real: -0.012806 Loss_D_fake 0.005271
[1699/5000][420/535][175438] Loss_D: -0.017724 Loss_G: -0.007015 Loss_D_real: 0.010460 Loss_D_fake 0.028184
[1699/5000][425/535][175439] Loss_D: -0.018676 Loss_G: 0.017247 Loss_D_real: -0.016586 Loss_D_fake 0.002090
[1699/5000][430/535][175440] Loss_D: -0.019884 Loss_G: 0.012419 Loss_D_real: -0.016722 Loss_D_fake 0.003162
[1699/5000][435/535][175441] Loss_D: -0.018758 Loss_G: -0.003318 Loss_D_real: -0.014352 Loss_D_fake 0.004406
[1699/5000][440/535][175442] Loss_D: -0.016799 Loss_G: -0.010797 Loss_D_real: 0.010482 Loss_D_fake 0.027281
[1699/5000][445/535][175443] Loss_D: -0.019467 Loss_G: 0.015516 Loss_D_real: -0.015363 Loss_D_fake 0.004105
[1699/5000][450/535][175444] Loss_D: -0.018908 Loss_G: 0.001532 Loss_D_real: -0.013098 Loss_D_fake 0.005810
[1699/5000][455/535][175445] Loss_D: -0.017775 Loss_G: 0.008417 Loss_D_real: -0.009828 Loss_D_fake 0.007947
[1699/5000][460/535][175446] Loss_D: -0.018851 Loss_G: 0.018733 Loss_D_real: -0.014879 Loss_D_fake 0.003971
[1699/5000][465/535][175447] Loss_D: -0.020351 Loss_G: 0.002370 Loss_D_real: -0.009473 Loss_D_fake 0.010878
[1699/5000][470/535][175448] Loss_D: -0.018662 Loss_G: -0.003647 Loss_D_real: -0.017344 Loss_D_fake 0.001318
[1699/5000][475/535][175449] Loss_D: -0.018056 Loss_G: 0.009367 Loss_D_real: -0.017997 Loss_D_fake 0.000059
[1699/5000][480/535][175450] Loss_D: -0.017810 Loss_G: 0.013551 Loss_D_real: -0.018671 Loss_D_fake -0.000861
[1699/5000][485/535][175451] Loss_D: -0.017428 Loss_G: 0.023620 Loss_D_real: -0.017298 Loss_D_fake 0.000130
[1699/5000][490/535][175452] Loss_D: -0.018430 Loss_G: -0.007311 Loss_D_real: -0.003628 Loss_D_fake 0.014802
[1699/5000][495/535][175453] Loss_D: -0.017456 Loss_G: 0.007479 Loss_D_real: -0.013348 Loss_D_fake 0.004108
[1699/5000][500/535][175454] Loss_D: -0.017663 Loss_G: 0.000709 Loss_D_real: -0.018927 Loss_D_fake -0.001264
[1699/5000][505/535][175455] Loss_D: -0.018437 Loss_G: -0.011596 Loss_D_real: -0.006603 Loss_D_fake 0.011834
[1699/5000][510/535][175456] Loss_D: -0.019613 Loss_G: 0.008588 Loss_D_real: -0.021286 Loss_D_fake -0.001673
[1699/5000][515/535][175457] Loss_D: -0.020210 Loss_G: 0.003618 Loss_D_real: -0.029976 Loss_D_fake -0.009766
[1699/5000][520/535][175458] Loss_D: -0.020351 Loss_G: 0.010161 Loss_D_real: -0.025216 Loss_D_fake -0.004865
[1699/5000][525/535][175459] Loss_D: -0.018455 Loss_G: 0.008505 Loss_D_real: -0.013474 Loss_D_fake 0.004981
[1699/5000][530/535][175460] Loss_D: -0.018303 Loss_G: 0.017080 Loss_D_real: -0.023655 Loss_D_fake -0.005352
[1699/5000][535/535][175461] Loss_D: -0.022480 Loss_G: 0.014263 Loss_D_real: -0.014907 Loss_D_fake 0.007572
[1700/5000][5/535][175462] Loss_D: -0.019214 Loss_G: 0.004992 Loss_D_real: -0.024055 Loss_D_fake -0.004841
[1700/5000][10/535][175463] Loss_D: -0.020111 Loss_G: -0.006133 Loss_D_real: -0.012679 Loss_D_fake 0.007432
[1700/5000][15/535][175464] Loss_D: -0.018528 Loss_G: -0.017114 Loss_D_real: -0.014268 Loss_D_fake 0.004261
[1700/5000][20/535][175465] Loss_D: -0.020716 Loss_G: 0.018643 Loss_D_real: -0.005772 Loss_D_fake 0.014944
[1700/5000][25/535][175466] Loss_D: -0.017248 Loss_G: -0.012717 Loss_D_real: -0.003299 Loss_D_fake 0.013950
[1700/5000][30/535][175467] Loss_D: -0.019372 Loss_G: 0.020277 Loss_D_real: -0.023556 Loss_D_fake -0.004185
[1700/5000][35/535][175468] Loss_D: -0.018271 Loss_G: -0.002844 Loss_D_real: -0.007610 Loss_D_fake 0.010661
[1700/5000][40/535][175469] Loss_D: -0.018016 Loss_G: -0.010840 Loss_D_real: 0.001210 Loss_D_fake 0.019226
[1700/5000][45/535][175470] Loss_D: -0.017763 Loss_G: 0.018646 Loss_D_real: -0.021510 Loss_D_fake -0.003748
[1700/5000][50/535][175471] Loss_D: -0.018487 Loss_G: 0.014773 Loss_D_real: -0.023189 Loss_D_fake -0.004702
[1700/5000][55/535][175472] Loss_D: -0.019638 Loss_G: 0.020253 Loss_D_real: -0.023295 Loss_D_fake -0.003656
[1700/5000][60/535][175473] Loss_D: -0.019584 Loss_G: 0.004427 Loss_D_real: -0.015280 Loss_D_fake 0.004304
[1700/5000][65/535][175474] Loss_D: -0.019924 Loss_G: 0.008836 Loss_D_real: -0.016746 Loss_D_fake 0.003178
[1700/5000][70/535][175475] Loss_D: -0.019056 Loss_G: 0.006601 Loss_D_real: -0.016559 Loss_D_fake 0.002497
[1700/5000][75/535][175476] Loss_D: -0.019223 Loss_G: -0.010700 Loss_D_real: -0.006221 Loss_D_fake 0.013003
[1700/5000][80/535][175477] Loss_D: -0.016501 Loss_G: 0.034417 Loss_D_real: -0.030138 Loss_D_fake -0.013637
[1700/5000][85/535][175478] Loss_D: -0.018384 Loss_G: 0.011208 Loss_D_real: -0.018219 Loss_D_fake 0.000165
[1700/5000][90/535][175479] Loss_D: -0.019270 Loss_G: -0.004602 Loss_D_real: -0.011132 Loss_D_fake 0.008137
[1700/5000][95/535][175480] Loss_D: -0.018494 Loss_G: -0.003750 Loss_D_real: -0.020329 Loss_D_fake -0.001834
[1700/5000][100/535][175481] Loss_D: -0.018308 Loss_G: -0.012849 Loss_D_real: -0.001137 Loss_D_fake 0.017171
[1700/5000][105/535][175482] Loss_D: -0.017985 Loss_G: 0.013179 Loss_D_real: -0.024022 Loss_D_fake -0.006036
[1700/5000][110/535][175483] Loss_D: -0.018385 Loss_G: -0.003955 Loss_D_real: -0.010554 Loss_D_fake 0.007831
[1700/5000][115/535][175484] Loss_D: -0.018329 Loss_G: 0.024119 Loss_D_real: -0.024788 Loss_D_fake -0.006459
[1700/5000][120/535][175485] Loss_D: -0.018633 Loss_G: 0.004087 Loss_D_real: -0.005924 Loss_D_fake 0.012709
[1700/5000][125/535][175486] Loss_D: -0.017943 Loss_G: 0.019611 Loss_D_real: -0.011436 Loss_D_fake 0.006507
[1700/5000][130/535][175487] Loss_D: -0.017810 Loss_G: -0.013932 Loss_D_real: -0.000082 Loss_D_fake 0.017728
[1700/5000][135/535][175488] Loss_D: -0.020256 Loss_G: 0.004304 Loss_D_real: -0.012624 Loss_D_fake 0.007632
[1700/5000][140/535][175489] Loss_D: -0.018753 Loss_G: 0.012648 Loss_D_real: -0.012052 Loss_D_fake 0.006701
[1700/5000][145/535][175490] Loss_D: -0.019396 Loss_G: 0.005758 Loss_D_real: -0.010681 Loss_D_fake 0.008715
[1700/5000][150/535][175491] Loss_D: -0.019655 Loss_G: 0.015819 Loss_D_real: -0.019531 Loss_D_fake 0.000124
[1700/5000][155/535][175492] Loss_D: -0.017180 Loss_G: 0.001717 Loss_D_real: -0.018791 Loss_D_fake -0.001611
[1700/5000][160/535][175493] Loss_D: -0.018545 Loss_G: 0.013534 Loss_D_real: -0.014820 Loss_D_fake 0.003725
[1700/5000][165/535][175494] Loss_D: -0.018975 Loss_G: 0.020145 Loss_D_real: -0.005170 Loss_D_fake 0.013804
[1700/5000][170/535][175495] Loss_D: -0.018523 Loss_G: -0.005619 Loss_D_real: -0.008867 Loss_D_fake 0.009657
[1700/5000][175/535][175496] Loss_D: -0.018439 Loss_G: -0.009950 Loss_D_real: -0.004054 Loss_D_fake 0.014385
[1700/5000][180/535][175497] Loss_D: -0.017293 Loss_G: -0.008004 Loss_D_real: -0.012798 Loss_D_fake 0.004495
[1700/5000][185/535][175498] Loss_D: -0.019066 Loss_G: 0.008039 Loss_D_real: -0.020991 Loss_D_fake -0.001924
[1700/5000][190/535][175499] Loss_D: -0.017336 Loss_G: 0.030712 Loss_D_real: -0.020255 Loss_D_fake -0.002920
[1700/5000][195/535][175500] Loss_D: -0.019986 Loss_G: 0.006501 Loss_D_real: -0.011590 Loss_D_fake 0.008396
[1700/5000][295/535][175501] Loss_D: -0.021758 Loss_G: 0.001121 Loss_D_real: -0.017650 Loss_D_fake 0.004108
[1700/5000][300/535][175502] Loss_D: -0.018189 Loss_G: 0.005097 Loss_D_real: -0.012233 Loss_D_fake 0.005956
[1700/5000][305/535][175503] Loss_D: -0.017149 Loss_G: -0.000072 Loss_D_real: -0.006036 Loss_D_fake 0.011113
[1700/5000][310/535][175504] Loss_D: -0.017278 Loss_G: -0.006899 Loss_D_real: -0.006477 Loss_D_fake 0.010800
[1700/5000][315/535][175505] Loss_D: -0.016260 Loss_G: 0.019689 Loss_D_real: -0.026497 Loss_D_fake -0.010237
[1700/5000][320/535][175506] Loss_D: -0.016669 Loss_G: 0.007432 Loss_D_real: -0.032621 Loss_D_fake -0.015952
[1700/5000][325/535][175507] Loss_D: -0.018277 Loss_G: -0.000400 Loss_D_real: -0.001691 Loss_D_fake 0.016586
[1700/5000][330/535][175508] Loss_D: -0.017089 Loss_G: 0.006118 Loss_D_real: -0.016266 Loss_D_fake 0.000823
[1700/5000][335/535][175509] Loss_D: -0.017983 Loss_G: 0.012071 Loss_D_real: -0.012256 Loss_D_fake 0.005727
[1700/5000][340/535][175510] Loss_D: -0.018439 Loss_G: 0.013734 Loss_D_real: -0.025094 Loss_D_fake -0.006655
[1700/5000][345/535][175511] Loss_D: -0.017755 Loss_G: 0.005251 Loss_D_real: -0.007138 Loss_D_fake 0.010617
[1700/5000][350/535][175512] Loss_D: -0.018291 Loss_G: -0.001233 Loss_D_real: 0.003185 Loss_D_fake 0.021476
[1700/5000][355/535][175513] Loss_D: -0.018094 Loss_G: 0.001288 Loss_D_real: -0.007084 Loss_D_fake 0.011010
[1700/5000][360/535][175514] Loss_D: -0.018027 Loss_G: -0.003468 Loss_D_real: -0.008208 Loss_D_fake 0.009819
[1700/5000][365/535][175515] Loss_D: -0.019800 Loss_G: 0.005667 Loss_D_real: -0.026229 Loss_D_fake -0.006429
[1700/5000][370/535][175516] Loss_D: -0.018892 Loss_G: 0.009825 Loss_D_real: -0.019146 Loss_D_fake -0.000255
[1700/5000][375/535][175517] Loss_D: -0.017957 Loss_G: -0.003559 Loss_D_real: -0.005891 Loss_D_fake 0.012066
[1700/5000][380/535][175518] Loss_D: -0.018665 Loss_G: 0.002185 Loss_D_real: -0.024107 Loss_D_fake -0.005442
[1700/5000][385/535][175519] Loss_D: -0.018237 Loss_G: 0.017231 Loss_D_real: -0.021051 Loss_D_fake -0.002814
[1700/5000][390/535][175520] Loss_D: -0.018502 Loss_G: 0.000522 Loss_D_real: -0.007801 Loss_D_fake 0.010700
[1700/5000][395/535][175521] Loss_D: -0.019080 Loss_G: 0.011328 Loss_D_real: -0.010270 Loss_D_fake 0.008809
[1700/5000][400/535][175522] Loss_D: -0.018415 Loss_G: 0.001036 Loss_D_real: -0.009966 Loss_D_fake 0.008449
[1700/5000][405/535][175523] Loss_D: -0.017839 Loss_G: -0.007824 Loss_D_real: -0.015206 Loss_D_fake 0.002633
[1700/5000][410/535][175524] Loss_D: -0.017323 Loss_G: 0.023987 Loss_D_real: -0.021558 Loss_D_fake -0.004235
[1700/5000][415/535][175525] Loss_D: -0.020349 Loss_G: 0.007623 Loss_D_real: 0.000645 Loss_D_fake 0.020995
[1700/5000][420/535][175526] Loss_D: -0.018300 Loss_G: 0.008723 Loss_D_real: -0.022315 Loss_D_fake -0.004015
[1700/5000][425/535][175527] Loss_D: -0.019053 Loss_G: 0.008153 Loss_D_real: -0.022567 Loss_D_fake -0.003514
[1700/5000][430/535][175528] Loss_D: -0.019560 Loss_G: 0.005554 Loss_D_real: -0.022514 Loss_D_fake -0.002954
[1700/5000][435/535][175529] Loss_D: -0.018858 Loss_G: 0.005238 Loss_D_real: -0.021298 Loss_D_fake -0.002440
[1700/5000][440/535][175530] Loss_D: -0.018656 Loss_G: -0.007362 Loss_D_real: 0.002379 Loss_D_fake 0.021035
[1700/5000][445/535][175531] Loss_D: -0.018454 Loss_G: 0.005094 Loss_D_real: 0.003033 Loss_D_fake 0.021487
[1700/5000][450/535][175532] Loss_D: -0.018844 Loss_G: -0.000453 Loss_D_real: -0.014274 Loss_D_fake 0.004570
[1700/5000][455/535][175533] Loss_D: -0.018025 Loss_G: 0.010646 Loss_D_real: -0.022047 Loss_D_fake -0.004023
[1700/5000][460/535][175534] Loss_D: -0.018178 Loss_G: 0.013884 Loss_D_real: -0.029657 Loss_D_fake -0.011479
[1700/5000][465/535][175535] Loss_D: -0.019619 Loss_G: 0.008153 Loss_D_real: -0.008489 Loss_D_fake 0.011130
[1700/5000][470/535][175536] Loss_D: -0.018431 Loss_G: 0.012027 Loss_D_real: -0.013330 Loss_D_fake 0.005101
[1700/5000][475/535][175537] Loss_D: -0.018993 Loss_G: 0.012089 Loss_D_real: -0.016814 Loss_D_fake 0.002179
[1700/5000][480/535][175538] Loss_D: -0.018975 Loss_G: 0.008623 Loss_D_real: 0.009021 Loss_D_fake 0.027996
[1700/5000][485/535][175539] Loss_D: -0.018647 Loss_G: -0.006614 Loss_D_real: -0.016566 Loss_D_fake 0.002082
[1700/5000][490/535][175540] Loss_D: -0.017877 Loss_G: 0.009830 Loss_D_real: -0.017427 Loss_D_fake 0.000450
[1700/5000][495/535][175541] Loss_D: -0.018810 Loss_G: 0.000537 Loss_D_real: -0.016455 Loss_D_fake 0.002355
[1700/5000][500/535][175542] Loss_D: -0.018733 Loss_G: 0.008312 Loss_D_real: -0.014208 Loss_D_fake 0.004525
[1700/5000][505/535][175543] Loss_D: -0.019203 Loss_G: 0.020538 Loss_D_real: -0.024271 Loss_D_fake -0.005068
[1700/5000][510/535][175544] Loss_D: -0.018975 Loss_G: 0.007586 Loss_D_real: -0.015764 Loss_D_fake 0.003210
[1700/5000][515/535][175545] Loss_D: -0.017880 Loss_G: 0.019262 Loss_D_real: -0.028205 Loss_D_fake -0.010325
[1700/5000][520/535][175546] Loss_D: -0.017885 Loss_G: 0.013372 Loss_D_real: -0.025618 Loss_D_fake -0.007733
[1700/5000][525/535][175547] Loss_D: -0.018149 Loss_G: 0.014661 Loss_D_real: -0.018227 Loss_D_fake -0.000078
[1700/5000][530/535][175548] Loss_D: -0.018211 Loss_G: -0.005271 Loss_D_real: -0.004127 Loss_D_fake 0.014084
[1700/5000][535/535][175549] Loss_D: -0.018468 Loss_G: 0.033536 Loss_D_real: -0.015594 Loss_D_fake 0.002875
[1701/5000][5/535][175550] Loss_D: -0.018575 Loss_G: -0.000840 Loss_D_real: -0.012747 Loss_D_fake 0.005828
[1701/5000][10/535][175551] Loss_D: -0.020133 Loss_G: -0.001642 Loss_D_real: -0.014617 Loss_D_fake 0.005516
[1701/5000][15/535][175552] Loss_D: -0.018355 Loss_G: 0.001002 Loss_D_real: -0.015512 Loss_D_fake 0.002843
[1701/5000][20/535][175553] Loss_D: -0.019337 Loss_G: 0.008256 Loss_D_real: -0.005488 Loss_D_fake 0.013849
[1701/5000][25/535][175554] Loss_D: -0.019821 Loss_G: 0.005876 Loss_D_real: -0.022079 Loss_D_fake -0.002258
[1701/5000][30/535][175555] Loss_D: -0.019069 Loss_G: 0.017503 Loss_D_real: -0.024833 Loss_D_fake -0.005765
[1701/5000][35/535][175556] Loss_D: -0.018910 Loss_G: 0.006457 Loss_D_real: -0.015954 Loss_D_fake 0.002957
[1701/5000][40/535][175557] Loss_D: -0.018197 Loss_G: 0.003293 Loss_D_real: -0.006641 Loss_D_fake 0.011556
[1701/5000][45/535][175558] Loss_D: -0.018612 Loss_G: -0.002166 Loss_D_real: -0.017027 Loss_D_fake 0.001585
[1701/5000][50/535][175559] Loss_D: -0.018581 Loss_G: 0.007081 Loss_D_real: -0.028493 Loss_D_fake -0.009912
[1701/5000][55/535][175560] Loss_D: -0.018168 Loss_G: 0.006908 Loss_D_real: -0.011254 Loss_D_fake 0.006914
[1701/5000][60/535][175561] Loss_D: -0.020108 Loss_G: 0.000514 Loss_D_real: -0.006978 Loss_D_fake 0.013130
[1701/5000][65/535][175562] Loss_D: -0.017980 Loss_G: 0.001446 Loss_D_real: -0.009237 Loss_D_fake 0.008743
[1701/5000][70/535][175563] Loss_D: -0.017233 Loss_G: -0.000273 Loss_D_real: -0.019792 Loss_D_fake -0.002559
[1701/5000][75/535][175564] Loss_D: -0.017870 Loss_G: 0.019415 Loss_D_real: -0.009661 Loss_D_fake 0.008209
[1701/5000][80/535][175565] Loss_D: -0.018723 Loss_G: -0.014366 Loss_D_real: -0.008636 Loss_D_fake 0.010087
[1701/5000][85/535][175566] Loss_D: -0.020277 Loss_G: 0.007373 Loss_D_real: -0.030572 Loss_D_fake -0.010295
[1701/5000][90/535][175567] Loss_D: -0.018993 Loss_G: 0.023254 Loss_D_real: -0.008717 Loss_D_fake 0.010276
[1701/5000][95/535][175568] Loss_D: -0.017519 Loss_G: 0.024327 Loss_D_real: -0.029730 Loss_D_fake -0.012211
[1701/5000][100/535][175569] Loss_D: -0.018448 Loss_G: 0.008333 Loss_D_real: -0.005973 Loss_D_fake 0.012475
[1701/5000][105/535][175570] Loss_D: -0.018170 Loss_G: 0.027070 Loss_D_real: -0.028864 Loss_D_fake -0.010694
[1701/5000][110/535][175571] Loss_D: -0.020119 Loss_G: 0.000964 Loss_D_real: -0.014160 Loss_D_fake 0.005958
[1701/5000][115/535][175572] Loss_D: -0.019283 Loss_G: 0.012513 Loss_D_real: -0.011751 Loss_D_fake 0.007532
[1701/5000][120/535][175573] Loss_D: -0.017833 Loss_G: 0.000832 Loss_D_real: -0.007460 Loss_D_fake 0.010373
[1701/5000][125/535][175574] Loss_D: -0.017794 Loss_G: 0.002640 Loss_D_real: -0.010471 Loss_D_fake 0.007323
[1701/5000][130/535][175575] Loss_D: -0.018587 Loss_G: -0.004782 Loss_D_real: 0.000053 Loss_D_fake 0.018640
[1701/5000][135/535][175576] Loss_D: -0.019009 Loss_G: 0.006971 Loss_D_real: -0.013802 Loss_D_fake 0.005207
[1701/5000][140/535][175577] Loss_D: -0.019565 Loss_G: -0.001082 Loss_D_real: -0.006817 Loss_D_fake 0.012748
[1701/5000][145/535][175578] Loss_D: -0.018114 Loss_G: 0.012005 Loss_D_real: -0.006819 Loss_D_fake 0.011294
[1701/5000][150/535][175579] Loss_D: -0.018621 Loss_G: 0.020422 Loss_D_real: -0.035913 Loss_D_fake -0.017292
[1701/5000][155/535][175580] Loss_D: -0.018651 Loss_G: 0.003400 Loss_D_real: -0.006250 Loss_D_fake 0.012401
[1701/5000][160/535][175581] Loss_D: -0.019788 Loss_G: -0.001106 Loss_D_real: -0.021351 Loss_D_fake -0.001563
[1701/5000][165/535][175582] Loss_D: -0.019271 Loss_G: -0.012481 Loss_D_real: -0.000948 Loss_D_fake 0.018323
[1701/5000][170/535][175583] Loss_D: -0.017838 Loss_G: 0.021063 Loss_D_real: -0.029607 Loss_D_fake -0.011769
[1701/5000][175/535][175584] Loss_D: -0.018460 Loss_G: 0.019846 Loss_D_real: -0.027737 Loss_D_fake -0.009277
[1701/5000][180/535][175585] Loss_D: -0.017702 Loss_G: 0.006917 Loss_D_real: -0.034059 Loss_D_fake -0.016357
[1701/5000][185/535][175586] Loss_D: -0.019552 Loss_G: -0.006036 Loss_D_real: -0.011731 Loss_D_fake 0.007822
[1701/5000][190/535][175587] Loss_D: -0.019718 Loss_G: 0.008725 Loss_D_real: -0.003611 Loss_D_fake 0.016107
[1701/5000][195/535][175588] Loss_D: -0.019598 Loss_G: 0.010108 Loss_D_real: -0.017179 Loss_D_fake 0.002419
[1701/5000][200/535][175589] Loss_D: -0.018310 Loss_G: 0.021005 Loss_D_real: -0.026955 Loss_D_fake -0.008645
[1701/5000][205/535][175590] Loss_D: -0.018286 Loss_G: -0.001178 Loss_D_real: -0.002760 Loss_D_fake 0.015526
[1701/5000][210/535][175591] Loss_D: -0.019369 Loss_G: 0.002370 Loss_D_real: -0.010406 Loss_D_fake 0.008963
[1701/5000][215/535][175592] Loss_D: -0.017978 Loss_G: -0.000932 Loss_D_real: -0.001699 Loss_D_fake 0.016279
[1701/5000][220/535][175593] Loss_D: -0.017325 Loss_G: 0.020441 Loss_D_real: -0.011491 Loss_D_fake 0.005834
[1701/5000][225/535][175594] Loss_D: -0.019507 Loss_G: 0.003181 Loss_D_real: -0.014433 Loss_D_fake 0.005073
[1701/5000][230/535][175595] Loss_D: -0.017025 Loss_G: -0.008681 Loss_D_real: 0.012592 Loss_D_fake 0.029617
[1701/5000][235/535][175596] Loss_D: -0.018063 Loss_G: 0.013539 Loss_D_real: -0.010990 Loss_D_fake 0.007073
[1701/5000][240/535][175597] Loss_D: -0.018898 Loss_G: 0.010189 Loss_D_real: -0.018353 Loss_D_fake 0.000546
[1701/5000][245/535][175598] Loss_D: -0.020766 Loss_G: 0.008241 Loss_D_real: -0.038001 Loss_D_fake -0.017234
[1701/5000][250/535][175599] Loss_D: -0.018481 Loss_G: -0.006581 Loss_D_real: -0.007073 Loss_D_fake 0.011409
[1701/5000][255/535][175600] Loss_D: -0.019414 Loss_G: 0.010460 Loss_D_real: -0.013383 Loss_D_fake 0.006031
[1701/5000][260/535][175601] Loss_D: -0.018568 Loss_G: 0.029645 Loss_D_real: -0.026275 Loss_D_fake -0.007708
[1701/5000][265/535][175602] Loss_D: -0.019285 Loss_G: 0.008864 Loss_D_real: -0.007775 Loss_D_fake 0.011510
[1701/5000][270/535][175603] Loss_D: -0.018750 Loss_G: 0.016678 Loss_D_real: -0.020067 Loss_D_fake -0.001316
[1701/5000][275/535][175604] Loss_D: -0.018647 Loss_G: 0.015382 Loss_D_real: -0.023865 Loss_D_fake -0.005218
[1701/5000][280/535][175605] Loss_D: -0.018487 Loss_G: 0.012850 Loss_D_real: -0.019911 Loss_D_fake -0.001424
[1701/5000][285/535][175606] Loss_D: -0.019119 Loss_G: -0.000036 Loss_D_real: -0.013927 Loss_D_fake 0.005192
[1701/5000][290/535][175607] Loss_D: -0.019828 Loss_G: 0.007300 Loss_D_real: -0.015851 Loss_D_fake 0.003977
[1701/5000][295/535][175608] Loss_D: -0.018905 Loss_G: 0.008051 Loss_D_real: -0.017424 Loss_D_fake 0.001481
[1701/5000][300/535][175609] Loss_D: -0.017844 Loss_G: -0.001100 Loss_D_real: -0.008826 Loss_D_fake 0.009018
[1701/5000][305/535][175610] Loss_D: -0.018973 Loss_G: 0.021927 Loss_D_real: -0.016345 Loss_D_fake 0.002628
[1701/5000][310/535][175611] Loss_D: -0.018372 Loss_G: 0.006246 Loss_D_real: -0.017913 Loss_D_fake 0.000460
[1701/5000][315/535][175612] Loss_D: -0.018511 Loss_G: -0.003802 Loss_D_real: -0.012070 Loss_D_fake 0.006441
[1701/5000][320/535][175613] Loss_D: -0.017274 Loss_G: 0.016588 Loss_D_real: -0.022735 Loss_D_fake -0.005462
[1701/5000][325/535][175614] Loss_D: -0.019784 Loss_G: 0.001282 Loss_D_real: -0.019557 Loss_D_fake 0.000227
[1701/5000][330/535][175615] Loss_D: -0.018116 Loss_G: 0.004606 Loss_D_real: -0.013906 Loss_D_fake 0.004210
[1701/5000][335/535][175616] Loss_D: -0.017592 Loss_G: 0.008326 Loss_D_real: -0.021902 Loss_D_fake -0.004310
[1701/5000][340/535][175617] Loss_D: -0.018585 Loss_G: 0.011258 Loss_D_real: -0.024420 Loss_D_fake -0.005834
[1701/5000][345/535][175618] Loss_D: -0.018235 Loss_G: 0.020105 Loss_D_real: -0.010385 Loss_D_fake 0.007850
[1701/5000][350/535][175619] Loss_D: -0.017386 Loss_G: 0.016757 Loss_D_real: -0.029838 Loss_D_fake -0.012452
[1701/5000][355/535][175620] Loss_D: -0.017311 Loss_G: 0.013577 Loss_D_real: -0.015046 Loss_D_fake 0.002265
[1701/5000][360/535][175621] Loss_D: -0.019025 Loss_G: -0.004152 Loss_D_real: -0.013257 Loss_D_fake 0.005768
[1701/5000][365/535][175622] Loss_D: -0.017853 Loss_G: 0.014405 Loss_D_real: -0.030884 Loss_D_fake -0.013030
[1701/5000][370/535][175623] Loss_D: -0.019759 Loss_G: -0.002088 Loss_D_real: -0.010269 Loss_D_fake 0.009490
[1701/5000][375/535][175624] Loss_D: -0.017462 Loss_G: 0.018440 Loss_D_real: -0.028744 Loss_D_fake -0.011282
[1701/5000][380/535][175625] Loss_D: -0.018704 Loss_G: 0.019388 Loss_D_real: -0.024063 Loss_D_fake -0.005359
[1701/5000][385/535][175626] Loss_D: -0.019693 Loss_G: 0.017302 Loss_D_real: -0.014322 Loss_D_fake 0.005371
[1701/5000][390/535][175627] Loss_D: -0.018649 Loss_G: 0.023087 Loss_D_real: -0.023101 Loss_D_fake -0.004452
[1701/5000][395/535][175628] Loss_D: -0.017094 Loss_G: -0.027968 Loss_D_real: 0.004249 Loss_D_fake 0.021343
[1701/5000][400/535][175629] Loss_D: -0.018900 Loss_G: 0.008357 Loss_D_real: -0.025216 Loss_D_fake -0.006315
[1701/5000][405/535][175630] Loss_D: -0.018367 Loss_G: 0.010231 Loss_D_real: -0.023948 Loss_D_fake -0.005581
[1701/5000][410/535][175631] Loss_D: -0.015811 Loss_G: 0.027408 Loss_D_real: -0.031901 Loss_D_fake -0.016090
[1701/5000][415/535][175632] Loss_D: -0.018027 Loss_G: 0.014313 Loss_D_real: -0.037193 Loss_D_fake -0.019166
[1701/5000][420/535][175633] Loss_D: -0.018007 Loss_G: -0.001081 Loss_D_real: -0.013219 Loss_D_fake 0.004788
[1701/5000][425/535][175634] Loss_D: -0.017078 Loss_G: 0.018707 Loss_D_real: -0.019092 Loss_D_fake -0.002014
[1701/5000][430/535][175635] Loss_D: -0.017333 Loss_G: 0.027579 Loss_D_real: -0.024583 Loss_D_fake -0.007250
[1701/5000][435/535][175636] Loss_D: -0.018703 Loss_G: 0.010301 Loss_D_real: -0.011999 Loss_D_fake 0.006704
[1701/5000][440/535][175637] Loss_D: -0.019561 Loss_G: -0.005325 Loss_D_real: -0.007016 Loss_D_fake 0.012545
[1701/5000][445/535][175638] Loss_D: -0.018452 Loss_G: 0.013166 Loss_D_real: -0.020119 Loss_D_fake -0.001666
[1701/5000][450/535][175639] Loss_D: -0.019184 Loss_G: -0.000243 Loss_D_real: -0.011562 Loss_D_fake 0.007622
[1701/5000][455/535][175640] Loss_D: -0.018942 Loss_G: 0.017605 Loss_D_real: -0.017908 Loss_D_fake 0.001034
[1701/5000][460/535][175641] Loss_D: -0.019136 Loss_G: 0.007673 Loss_D_real: -0.023385 Loss_D_fake -0.004249
[1701/5000][465/535][175642] Loss_D: -0.018128 Loss_G: 0.010926 Loss_D_real: -0.007266 Loss_D_fake 0.010862
[1701/5000][470/535][175643] Loss_D: -0.018598 Loss_G: 0.006664 Loss_D_real: -0.006419 Loss_D_fake 0.012179
[1701/5000][475/535][175644] Loss_D: -0.018472 Loss_G: 0.008369 Loss_D_real: -0.018775 Loss_D_fake -0.000303
[1701/5000][480/535][175645] Loss_D: -0.019028 Loss_G: 0.018199 Loss_D_real: -0.012161 Loss_D_fake 0.006867
[1701/5000][485/535][175646] Loss_D: -0.017952 Loss_G: -0.003341 Loss_D_real: -0.011853 Loss_D_fake 0.006099
[1701/5000][490/535][175647] Loss_D: -0.017619 Loss_G: 0.026672 Loss_D_real: -0.022855 Loss_D_fake -0.005236
[1701/5000][495/535][175648] Loss_D: -0.017704 Loss_G: -0.002727 Loss_D_real: -0.005643 Loss_D_fake 0.012061
[1701/5000][500/535][175649] Loss_D: -0.017603 Loss_G: 0.013878 Loss_D_real: -0.023218 Loss_D_fake -0.005615
[1701/5000][505/535][175650] Loss_D: -0.017686 Loss_G: -0.001424 Loss_D_real: -0.008638 Loss_D_fake 0.009048
[1701/5000][510/535][175651] Loss_D: -0.019014 Loss_G: 0.014805 Loss_D_real: -0.012401 Loss_D_fake 0.006613
[1701/5000][515/535][175652] Loss_D: -0.018575 Loss_G: 0.014157 Loss_D_real: -0.030851 Loss_D_fake -0.012276
[1701/5000][520/535][175653] Loss_D: -0.019224 Loss_G: 0.018332 Loss_D_real: -0.030387 Loss_D_fake -0.011163
[1701/5000][525/535][175654] Loss_D: -0.019832 Loss_G: 0.012101 Loss_D_real: -0.007545 Loss_D_fake 0.012286
[1701/5000][530/535][175655] Loss_D: -0.020989 Loss_G: 0.014293 Loss_D_real: -0.016954 Loss_D_fake 0.004035
[1701/5000][535/535][175656] Loss_D: -0.018001 Loss_G: 0.018726 Loss_D_real: -0.029588 Loss_D_fake -0.011586
[1702/5000][5/535][175657] Loss_D: -0.019098 Loss_G: 0.028045 Loss_D_real: -0.031850 Loss_D_fake -0.012752
[1702/5000][10/535][175658] Loss_D: -0.019647 Loss_G: 0.025042 Loss_D_real: -0.012314 Loss_D_fake 0.007332
[1702/5000][15/535][175659] Loss_D: -0.019365 Loss_G: 0.002703 Loss_D_real: -0.021744 Loss_D_fake -0.002379
[1702/5000][20/535][175660] Loss_D: -0.018932 Loss_G: -0.007560 Loss_D_real: -0.012856 Loss_D_fake 0.006076
[1702/5000][25/535][175661] Loss_D: -0.016914 Loss_G: 0.021368 Loss_D_real: -0.030824 Loss_D_fake -0.013910
[1702/5000][30/535][175662] Loss_D: -0.018573 Loss_G: 0.013437 Loss_D_real: -0.025024 Loss_D_fake -0.006450
[1702/5000][35/535][175663] Loss_D: -0.019636 Loss_G: 0.020299 Loss_D_real: -0.030999 Loss_D_fake -0.011363
[1702/5000][40/535][175664] Loss_D: -0.019673 Loss_G: 0.004050 Loss_D_real: -0.000599 Loss_D_fake 0.019074
[1702/5000][45/535][175665] Loss_D: -0.019021 Loss_G: 0.015720 Loss_D_real: -0.010927 Loss_D_fake 0.008094
[1702/5000][50/535][175666] Loss_D: -0.019350 Loss_G: -0.002942 Loss_D_real: -0.024537 Loss_D_fake -0.005186
[1702/5000][55/535][175667] Loss_D: -0.018175 Loss_G: 0.007976 Loss_D_real: -0.005053 Loss_D_fake 0.013122
[1702/5000][60/535][175668] Loss_D: -0.020626 Loss_G: 0.011452 Loss_D_real: -0.018358 Loss_D_fake 0.002268
[1702/5000][65/535][175669] Loss_D: -0.018181 Loss_G: 0.025318 Loss_D_real: -0.022463 Loss_D_fake -0.004282
[1702/5000][70/535][175670] Loss_D: -0.019341 Loss_G: -0.004937 Loss_D_real: -0.008515 Loss_D_fake 0.010827
[1702/5000][75/535][175671] Loss_D: -0.017923 Loss_G: -0.010685 Loss_D_real: 0.004542 Loss_D_fake 0.022465
[1702/5000][80/535][175672] Loss_D: -0.018402 Loss_G: 0.005214 Loss_D_real: 0.003820 Loss_D_fake 0.022221
[1702/5000][85/535][175673] Loss_D: -0.019530 Loss_G: 0.006663 Loss_D_real: -0.011474 Loss_D_fake 0.008056
[1702/5000][90/535][175674] Loss_D: -0.018562 Loss_G: 0.009835 Loss_D_real: -0.010146 Loss_D_fake 0.008417
[1702/5000][95/535][175675] Loss_D: -0.018143 Loss_G: 0.009944 Loss_D_real: -0.033820 Loss_D_fake -0.015677
[1702/5000][100/535][175676] Loss_D: -0.018006 Loss_G: -0.000928 Loss_D_real: -0.013310 Loss_D_fake 0.004696
[1702/5000][105/535][175677] Loss_D: -0.018164 Loss_G: 0.007618 Loss_D_real: -0.013736 Loss_D_fake 0.004427
[1702/5000][110/535][175678] Loss_D: -0.018127 Loss_G: 0.013006 Loss_D_real: -0.015551 Loss_D_fake 0.002576
[1702/5000][115/535][175679] Loss_D: -0.018534 Loss_G: 0.023818 Loss_D_real: -0.025682 Loss_D_fake -0.007148
[1702/5000][120/535][175680] Loss_D: -0.018777 Loss_G: 0.015520 Loss_D_real: -0.022916 Loss_D_fake -0.004139
[1702/5000][125/535][175681] Loss_D: -0.019919 Loss_G: 0.009821 Loss_D_real: -0.017408 Loss_D_fake 0.002511
[1702/5000][130/535][175682] Loss_D: -0.018523 Loss_G: -0.002196 Loss_D_real: -0.004698 Loss_D_fake 0.013824
[1702/5000][135/535][175683] Loss_D: -0.017230 Loss_G: 0.001885 Loss_D_real: -0.007809 Loss_D_fake 0.009421
[1702/5000][140/535][175684] Loss_D: -0.018814 Loss_G: 0.003960 Loss_D_real: -0.021891 Loss_D_fake -0.003077
[1702/5000][145/535][175685] Loss_D: -0.018494 Loss_G: 0.000090 Loss_D_real: -0.010266 Loss_D_fake 0.008228
[1702/5000][150/535][175686] Loss_D: -0.019023 Loss_G: -0.005192 Loss_D_real: -0.010573 Loss_D_fake 0.008450
[1702/5000][155/535][175687] Loss_D: -0.018823 Loss_G: 0.009674 Loss_D_real: -0.018223 Loss_D_fake 0.000600
[1702/5000][160/535][175688] Loss_D: -0.018183 Loss_G: -0.022210 Loss_D_real: -0.002565 Loss_D_fake 0.015618
[1702/5000][165/535][175689] Loss_D: -0.019163 Loss_G: 0.015915 Loss_D_real: -0.008150 Loss_D_fake 0.011014
[1702/5000][170/535][175690] Loss_D: -0.018459 Loss_G: -0.002480 Loss_D_real: -0.005934 Loss_D_fake 0.012525
[1702/5000][175/535][175691] Loss_D: -0.018846 Loss_G: 0.009927 Loss_D_real: -0.019044 Loss_D_fake -0.000198
[1702/5000][180/535][175692] Loss_D: -0.017646 Loss_G: 0.000969 Loss_D_real: -0.010782 Loss_D_fake 0.006864
[1702/5000][185/535][175693] Loss_D: -0.018695 Loss_G: -0.002467 Loss_D_real: 0.001459 Loss_D_fake 0.020154
[1702/5000][190/535][175694] Loss_D: -0.018679 Loss_G: 0.010999 Loss_D_real: -0.015204 Loss_D_fake 0.003476
[1702/5000][195/535][175695] Loss_D: -0.018613 Loss_G: -0.000460 Loss_D_real: 0.000058 Loss_D_fake 0.018670
[1702/5000][200/535][175696] Loss_D: -0.018143 Loss_G: 0.025250 Loss_D_real: -0.027736 Loss_D_fake -0.009593
[1702/5000][205/535][175697] Loss_D: -0.018622 Loss_G: 0.019651 Loss_D_real: -0.026008 Loss_D_fake -0.007386
[1702/5000][210/535][175698] Loss_D: -0.019742 Loss_G: -0.003267 Loss_D_real: -0.007514 Loss_D_fake 0.012229
[1702/5000][215/535][175699] Loss_D: -0.019379 Loss_G: 0.003116 Loss_D_real: -0.021088 Loss_D_fake -0.001709
[1702/5000][220/535][175700] Loss_D: -0.019101 Loss_G: 0.010552 Loss_D_real: -0.015333 Loss_D_fake 0.003768
[1702/5000][225/535][175701] Loss_D: -0.016505 Loss_G: 0.028070 Loss_D_real: -0.028491 Loss_D_fake -0.011986
[1702/5000][230/535][175702] Loss_D: -0.015804 Loss_G: -0.016899 Loss_D_real: 0.002727 Loss_D_fake 0.018531
[1702/5000][235/535][175703] Loss_D: -0.017700 Loss_G: -0.007953 Loss_D_real: -0.019770 Loss_D_fake -0.002070
[1702/5000][240/535][175704] Loss_D: -0.018928 Loss_G: 0.020831 Loss_D_real: -0.027772 Loss_D_fake -0.008844
[1702/5000][245/535][175705] Loss_D: -0.016286 Loss_G: -0.006110 Loss_D_real: -0.006156 Loss_D_fake 0.010130
[1702/5000][250/535][175706] Loss_D: -0.018513 Loss_G: -0.001408 Loss_D_real: -0.011389 Loss_D_fake 0.007124
[1702/5000][255/535][175707] Loss_D: -0.018034 Loss_G: 0.016542 Loss_D_real: -0.020376 Loss_D_fake -0.002342
[1702/5000][260/535][175708] Loss_D: -0.018252 Loss_G: 0.014180 Loss_D_real: -0.029607 Loss_D_fake -0.011355
[1702/5000][265/535][175709] Loss_D: -0.018946 Loss_G: 0.006483 Loss_D_real: 0.008991 Loss_D_fake 0.027937
[1702/5000][270/535][175710] Loss_D: -0.018349 Loss_G: 0.018146 Loss_D_real: -0.015022 Loss_D_fake 0.003327
[1702/5000][275/535][175711] Loss_D: -0.018511 Loss_G: 0.011299 Loss_D_real: -0.027053 Loss_D_fake -0.008542
[1702/5000][280/535][175712] Loss_D: -0.018014 Loss_G: 0.013882 Loss_D_real: -0.026599 Loss_D_fake -0.008586
[1702/5000][285/535][175713] Loss_D: -0.020234 Loss_G: 0.011990 Loss_D_real: -0.021118 Loss_D_fake -0.000884
[1702/5000][290/535][175714] Loss_D: -0.018014 Loss_G: 0.019012 Loss_D_real: -0.015781 Loss_D_fake 0.002233
[1702/5000][295/535][175715] Loss_D: -0.018493 Loss_G: 0.009384 Loss_D_real: -0.027678 Loss_D_fake -0.009184
[1702/5000][300/535][175716] Loss_D: -0.018524 Loss_G: 0.012364 Loss_D_real: -0.011333 Loss_D_fake 0.007191
[1702/5000][305/535][175717] Loss_D: -0.018294 Loss_G: 0.009904 Loss_D_real: -0.027022 Loss_D_fake -0.008728
[1702/5000][310/535][175718] Loss_D: -0.016054 Loss_G: -0.003750 Loss_D_real: -0.012767 Loss_D_fake 0.003286
[1702/5000][315/535][175719] Loss_D: -0.018652 Loss_G: 0.004467 Loss_D_real: -0.014278 Loss_D_fake 0.004374
[1702/5000][320/535][175720] Loss_D: -0.019502 Loss_G: -0.002116 Loss_D_real: -0.014838 Loss_D_fake 0.004664
[1702/5000][325/535][175721] Loss_D: -0.019457 Loss_G: 0.006220 Loss_D_real: -0.002837 Loss_D_fake 0.016620
[1702/5000][330/535][175722] Loss_D: -0.017677 Loss_G: 0.006133 Loss_D_real: -0.003266 Loss_D_fake 0.014411
[1702/5000][335/535][175723] Loss_D: -0.019354 Loss_G: 0.012426 Loss_D_real: -0.026753 Loss_D_fake -0.007399
[1702/5000][340/535][175724] Loss_D: -0.018205 Loss_G: 0.019286 Loss_D_real: -0.029594 Loss_D_fake -0.011389
[1702/5000][345/535][175725] Loss_D: -0.019712 Loss_G: 0.002723 Loss_D_real: -0.018836 Loss_D_fake 0.000876
[1702/5000][350/535][175726] Loss_D: -0.019753 Loss_G: 0.002758 Loss_D_real: -0.016637 Loss_D_fake 0.003116
[1702/5000][355/535][175727] Loss_D: -0.016996 Loss_G: -0.015873 Loss_D_real: -0.002866 Loss_D_fake 0.014130
[1702/5000][360/535][175728] Loss_D: -0.018473 Loss_G: 0.004169 Loss_D_real: -0.010276 Loss_D_fake 0.008196
[1702/5000][365/535][175729] Loss_D: -0.019357 Loss_G: -0.003590 Loss_D_real: 0.000442 Loss_D_fake 0.019799
[1702/5000][370/535][175730] Loss_D: -0.018378 Loss_G: 0.020758 Loss_D_real: -0.017282 Loss_D_fake 0.001096
[1702/5000][375/535][175731] Loss_D: -0.018369 Loss_G: 0.005577 Loss_D_real: -0.016408 Loss_D_fake 0.001960
[1702/5000][380/535][175732] Loss_D: -0.018536 Loss_G: 0.023983 Loss_D_real: -0.017921 Loss_D_fake 0.000615
[1702/5000][385/535][175733] Loss_D: -0.017281 Loss_G: 0.012699 Loss_D_real: -0.034538 Loss_D_fake -0.017256
[1702/5000][390/535][175734] Loss_D: -0.018298 Loss_G: -0.004346 Loss_D_real: -0.009378 Loss_D_fake 0.008921
[1702/5000][395/535][175735] Loss_D: -0.019842 Loss_G: 0.003603 Loss_D_real: -0.025833 Loss_D_fake -0.005991
[1702/5000][400/535][175736] Loss_D: -0.018626 Loss_G: 0.010605 Loss_D_real: -0.014352 Loss_D_fake 0.004274
[1702/5000][405/535][175737] Loss_D: -0.018110 Loss_G: -0.005880 Loss_D_real: -0.013465 Loss_D_fake 0.004645
[1702/5000][410/535][175738] Loss_D: -0.017921 Loss_G: 0.016667 Loss_D_real: -0.016383 Loss_D_fake 0.001538
[1702/5000][415/535][175739] Loss_D: -0.018725 Loss_G: -0.002770 Loss_D_real: 0.007348 Loss_D_fake 0.026073
[1702/5000][420/535][175740] Loss_D: -0.018716 Loss_G: 0.021366 Loss_D_real: -0.029589 Loss_D_fake -0.010873
[1702/5000][425/535][175741] Loss_D: -0.019454 Loss_G: 0.008727 Loss_D_real: -0.007039 Loss_D_fake 0.012415
[1702/5000][430/535][175742] Loss_D: -0.018833 Loss_G: 0.011713 Loss_D_real: -0.013554 Loss_D_fake 0.005278
[1702/5000][435/535][175743] Loss_D: -0.018131 Loss_G: -0.014080 Loss_D_real: 0.002057 Loss_D_fake 0.020188
[1702/5000][440/535][175744] Loss_D: -0.018990 Loss_G: 0.000110 Loss_D_real: -0.019579 Loss_D_fake -0.000589
[1702/5000][445/535][175745] Loss_D: -0.017661 Loss_G: -0.007149 Loss_D_real: 0.003424 Loss_D_fake 0.021085
[1702/5000][450/535][175746] Loss_D: -0.016832 Loss_G: -0.004290 Loss_D_real: -0.000873 Loss_D_fake 0.015959
[1702/5000][455/535][175747] Loss_D: -0.018627 Loss_G: 0.006878 Loss_D_real: -0.007766 Loss_D_fake 0.010861
[1702/5000][460/535][175748] Loss_D: -0.018756 Loss_G: 0.019686 Loss_D_real: -0.024220 Loss_D_fake -0.005464
[1702/5000][465/535][175749] Loss_D: -0.018480 Loss_G: 0.013236 Loss_D_real: -0.024080 Loss_D_fake -0.005600
[1702/5000][470/535][175750] Loss_D: -0.019784 Loss_G: 0.011014 Loss_D_real: -0.020850 Loss_D_fake -0.001066
[1702/5000][475/535][175751] Loss_D: -0.019139 Loss_G: -0.002717 Loss_D_real: -0.008305 Loss_D_fake 0.010834
[1702/5000][480/535][175752] Loss_D: -0.017612 Loss_G: 0.006495 Loss_D_real: -0.010438 Loss_D_fake 0.007173
[1702/5000][485/535][175753] Loss_D: -0.017830 Loss_G: -0.002733 Loss_D_real: -0.024629 Loss_D_fake -0.006798
[1702/5000][490/535][175754] Loss_D: -0.018196 Loss_G: 0.004968 Loss_D_real: -0.010906 Loss_D_fake 0.007290
[1702/5000][495/535][175755] Loss_D: -0.017564 Loss_G: 0.034374 Loss_D_real: -0.030238 Loss_D_fake -0.012673
[1702/5000][500/535][175756] Loss_D: -0.020140 Loss_G: -0.000078 Loss_D_real: -0.017062 Loss_D_fake 0.003079
[1702/5000][505/535][175757] Loss_D: -0.019093 Loss_G: 0.011126 Loss_D_real: -0.015709 Loss_D_fake 0.003385
[1702/5000][510/535][175758] Loss_D: -0.017723 Loss_G: 0.008610 Loss_D_real: -0.021039 Loss_D_fake -0.003316
[1702/5000][515/535][175759] Loss_D: -0.017480 Loss_G: -0.016927 Loss_D_real: 0.000468 Loss_D_fake 0.017948
[1702/5000][520/535][175760] Loss_D: -0.019501 Loss_G: 0.004442 Loss_D_real: -0.016537 Loss_D_fake 0.002964
[1702/5000][525/535][175761] Loss_D: -0.017523 Loss_G: -0.004539 Loss_D_real: -0.010979 Loss_D_fake 0.006544
[1702/5000][530/535][175762] Loss_D: -0.017579 Loss_G: 0.012329 Loss_D_real: -0.016618 Loss_D_fake 0.000960
[1702/5000][535/535][175763] Loss_D: -0.019172 Loss_G: 0.011676 Loss_D_real: -0.023255 Loss_D_fake -0.004083
[1703/5000][5/535][175764] Loss_D: -0.018549 Loss_G: 0.014583 Loss_D_real: -0.009246 Loss_D_fake 0.009302
[1703/5000][10/535][175765] Loss_D: -0.018219 Loss_G: 0.013867 Loss_D_real: -0.037007 Loss_D_fake -0.018788
[1703/5000][15/535][175766] Loss_D: -0.018825 Loss_G: 0.004023 Loss_D_real: -0.007923 Loss_D_fake 0.010902
[1703/5000][20/535][175767] Loss_D: -0.019531 Loss_G: 0.009233 Loss_D_real: -0.012115 Loss_D_fake 0.007416
[1703/5000][25/535][175768] Loss_D: -0.017692 Loss_G: 0.015856 Loss_D_real: -0.017185 Loss_D_fake 0.000507
[1703/5000][30/535][175769] Loss_D: -0.018740 Loss_G: 0.005217 Loss_D_real: -0.013866 Loss_D_fake 0.004874
[1703/5000][35/535][175770] Loss_D: -0.019776 Loss_G: -0.004913 Loss_D_real: -0.001061 Loss_D_fake 0.018715
[1703/5000][40/535][175771] Loss_D: -0.018856 Loss_G: 0.022086 Loss_D_real: -0.015525 Loss_D_fake 0.003330
[1703/5000][45/535][175772] Loss_D: -0.017953 Loss_G: -0.005678 Loss_D_real: -0.003789 Loss_D_fake 0.014164
[1703/5000][50/535][175773] Loss_D: -0.018119 Loss_G: 0.000876 Loss_D_real: -0.010606 Loss_D_fake 0.007514
[1703/5000][55/535][175774] Loss_D: -0.018000 Loss_G: -0.004725 Loss_D_real: -0.016913 Loss_D_fake 0.001086
[1703/5000][60/535][175775] Loss_D: -0.017441 Loss_G: 0.016545 Loss_D_real: -0.030322 Loss_D_fake -0.012882
[1703/5000][65/535][175776] Loss_D: -0.018969 Loss_G: 0.002605 Loss_D_real: -0.017080 Loss_D_fake 0.001889
[1703/5000][70/535][175777] Loss_D: -0.021341 Loss_G: 0.000043 Loss_D_real: -0.002846 Loss_D_fake 0.018495
[1703/5000][75/535][175778] Loss_D: -0.019239 Loss_G: -0.002425 Loss_D_real: -0.012315 Loss_D_fake 0.006924
[1703/5000][80/535][175779] Loss_D: -0.018254 Loss_G: 0.017857 Loss_D_real: -0.030858 Loss_D_fake -0.012605
[1703/5000][85/535][175780] Loss_D: -0.018134 Loss_G: 0.000608 Loss_D_real: -0.003290 Loss_D_fake 0.014844
[1703/5000][90/535][175781] Loss_D: -0.017747 Loss_G: 0.019024 Loss_D_real: -0.023771 Loss_D_fake -0.006024
[1703/5000][95/535][175782] Loss_D: -0.017843 Loss_G: -0.005778 Loss_D_real: -0.002047 Loss_D_fake 0.015796
[1703/5000][100/535][175783] Loss_D: -0.018261 Loss_G: 0.017298 Loss_D_real: -0.026049 Loss_D_fake -0.007787
[1703/5000][105/535][175784] Loss_D: -0.017064 Loss_G: 0.022062 Loss_D_real: -0.028572 Loss_D_fake -0.011509
[1703/5000][110/535][175785] Loss_D: -0.017116 Loss_G: -0.015856 Loss_D_real: 0.008805 Loss_D_fake 0.025921
[1703/5000][115/535][175786] Loss_D: -0.019023 Loss_G: 0.005794 Loss_D_real: -0.012094 Loss_D_fake 0.006929
[1703/5000][120/535][175787] Loss_D: -0.018793 Loss_G: 0.018597 Loss_D_real: -0.022864 Loss_D_fake -0.004071
[1703/5000][125/535][175788] Loss_D: -0.019876 Loss_G: -0.010315 Loss_D_real: -0.013272 Loss_D_fake 0.006603
[1703/5000][130/535][175789] Loss_D: -0.020418 Loss_G: 0.018997 Loss_D_real: -0.024633 Loss_D_fake -0.004215
[1703/5000][135/535][175790] Loss_D: -0.019422 Loss_G: 0.005279 Loss_D_real: -0.010079 Loss_D_fake 0.009343
[1703/5000][140/535][175791] Loss_D: -0.016863 Loss_G: -0.027247 Loss_D_real: 0.001938 Loss_D_fake 0.018801
[1703/5000][145/535][175792] Loss_D: -0.017737 Loss_G: 0.011051 Loss_D_real: -0.017631 Loss_D_fake 0.000105
[1703/5000][150/535][175793] Loss_D: -0.019696 Loss_G: 0.004640 Loss_D_real: -0.007060 Loss_D_fake 0.012636
[1703/5000][155/535][175794] Loss_D: -0.019670 Loss_G: 0.008186 Loss_D_real: -0.011755 Loss_D_fake 0.007915
[1703/5000][160/535][175795] Loss_D: -0.019320 Loss_G: 0.005686 Loss_D_real: -0.024654 Loss_D_fake -0.005335
[1703/5000][165/535][175796] Loss_D: -0.018429 Loss_G: 0.003202 Loss_D_real: -0.000056 Loss_D_fake 0.018373
[1703/5000][170/535][175797] Loss_D: -0.018977 Loss_G: 0.007040 Loss_D_real: -0.023828 Loss_D_fake -0.004852
[1703/5000][175/535][175798] Loss_D: -0.018131 Loss_G: 0.011394 Loss_D_real: -0.013041 Loss_D_fake 0.005089
[1703/5000][180/535][175799] Loss_D: -0.017880 Loss_G: 0.021651 Loss_D_real: -0.022514 Loss_D_fake -0.004634
[1703/5000][185/535][175800] Loss_D: -0.019027 Loss_G: 0.011037 Loss_D_real: -0.024526 Loss_D_fake -0.005499
[1703/5000][190/535][175801] Loss_D: -0.017715 Loss_G: 0.015779 Loss_D_real: -0.031949 Loss_D_fake -0.014234
[1703/5000][195/535][175802] Loss_D: -0.018823 Loss_G: 0.007280 Loss_D_real: -0.025975 Loss_D_fake -0.007152
[1703/5000][200/535][175803] Loss_D: -0.018804 Loss_G: 0.008482 Loss_D_real: -0.015996 Loss_D_fake 0.002808
[1703/5000][205/535][175804] Loss_D: -0.017650 Loss_G: 0.029423 Loss_D_real: -0.018435 Loss_D_fake -0.000786
[1703/5000][210/535][175805] Loss_D: -0.017869 Loss_G: -0.001834 Loss_D_real: -0.023789 Loss_D_fake -0.005920
[1703/5000][215/535][175806] Loss_D: -0.017871 Loss_G: 0.013594 Loss_D_real: -0.015050 Loss_D_fake 0.002820
[1703/5000][220/535][175807] Loss_D: -0.018361 Loss_G: 0.008109 Loss_D_real: -0.012991 Loss_D_fake 0.005370
[1703/5000][225/535][175808] Loss_D: -0.016420 Loss_G: 0.003455 Loss_D_real: -0.021555 Loss_D_fake -0.005135
[1703/5000][230/535][175809] Loss_D: -0.017685 Loss_G: 0.024809 Loss_D_real: -0.034015 Loss_D_fake -0.016330
[1703/5000][235/535][175810] Loss_D: -0.018690 Loss_G: 0.002352 Loss_D_real: -0.008256 Loss_D_fake 0.010434
[1703/5000][240/535][175811] Loss_D: -0.018110 Loss_G: -0.005442 Loss_D_real: -0.008719 Loss_D_fake 0.009392
[1703/5000][245/535][175812] Loss_D: -0.017307 Loss_G: 0.009584 Loss_D_real: -0.005459 Loss_D_fake 0.011848
[1703/5000][250/535][175813] Loss_D: -0.017404 Loss_G: 0.008501 Loss_D_real: -0.013339 Loss_D_fake 0.004066
[1703/5000][255/535][175814] Loss_D: -0.017810 Loss_G: 0.018239 Loss_D_real: -0.029211 Loss_D_fake -0.011401
[1703/5000][260/535][175815] Loss_D: -0.018132 Loss_G: 0.010646 Loss_D_real: -0.021818 Loss_D_fake -0.003686
[1703/5000][265/535][175816] Loss_D: -0.019372 Loss_G: 0.013848 Loss_D_real: -0.027743 Loss_D_fake -0.008371
[1703/5000][270/535][175817] Loss_D: -0.018805 Loss_G: 0.015536 Loss_D_real: -0.030308 Loss_D_fake -0.011502
[1703/5000][275/535][175818] Loss_D: -0.019546 Loss_G: 0.007777 Loss_D_real: -0.017199 Loss_D_fake 0.002347
[1703/5000][280/535][175819] Loss_D: -0.020333 Loss_G: 0.024519 Loss_D_real: -0.014815 Loss_D_fake 0.005518
[1703/5000][285/535][175820] Loss_D: -0.018234 Loss_G: 0.012761 Loss_D_real: -0.018524 Loss_D_fake -0.000290
[1703/5000][290/535][175821] Loss_D: -0.018294 Loss_G: -0.012635 Loss_D_real: -0.006303 Loss_D_fake 0.011991
[1703/5000][295/535][175822] Loss_D: -0.018741 Loss_G: 0.017800 Loss_D_real: -0.016149 Loss_D_fake 0.002593
[1703/5000][300/535][175823] Loss_D: -0.019905 Loss_G: 0.005019 Loss_D_real: -0.011801 Loss_D_fake 0.008104
[1703/5000][305/535][175824] Loss_D: -0.019575 Loss_G: 0.004822 Loss_D_real: -0.013973 Loss_D_fake 0.005602
[1703/5000][310/535][175825] Loss_D: -0.017780 Loss_G: 0.024543 Loss_D_real: -0.033075 Loss_D_fake -0.015295
[1703/5000][315/535][175826] Loss_D: -0.018742 Loss_G: -0.004428 Loss_D_real: -0.007419 Loss_D_fake 0.011323
[1703/5000][320/535][175827] Loss_D: -0.018482 Loss_G: 0.001373 Loss_D_real: -0.013237 Loss_D_fake 0.005245
[1703/5000][325/535][175828] Loss_D: -0.016705 Loss_G: 0.023936 Loss_D_real: -0.016805 Loss_D_fake -0.000099
[1703/5000][330/535][175829] Loss_D: -0.018992 Loss_G: 0.001196 Loss_D_real: -0.001303 Loss_D_fake 0.017689
[1703/5000][335/535][175830] Loss_D: -0.019544 Loss_G: 0.013348 Loss_D_real: -0.020272 Loss_D_fake -0.000728
[1703/5000][340/535][175831] Loss_D: -0.018095 Loss_G: 0.017726 Loss_D_real: -0.033777 Loss_D_fake -0.015683
[1703/5000][345/535][175832] Loss_D: -0.019066 Loss_G: -0.003389 Loss_D_real: -0.003102 Loss_D_fake 0.015963
[1703/5000][350/535][175833] Loss_D: -0.019202 Loss_G: 0.011359 Loss_D_real: -0.017627 Loss_D_fake 0.001575
[1703/5000][355/535][175834] Loss_D: -0.020861 Loss_G: 0.008365 Loss_D_real: -0.018572 Loss_D_fake 0.002289
[1703/5000][360/535][175835] Loss_D: -0.018514 Loss_G: 0.002948 Loss_D_real: -0.019184 Loss_D_fake -0.000670
[1703/5000][365/535][175836] Loss_D: -0.018841 Loss_G: -0.002121 Loss_D_real: -0.009193 Loss_D_fake 0.009649
[1703/5000][370/535][175837] Loss_D: -0.018888 Loss_G: -0.003591 Loss_D_real: -0.011592 Loss_D_fake 0.007296
[1703/5000][375/535][175838] Loss_D: -0.017818 Loss_G: 0.018952 Loss_D_real: -0.022428 Loss_D_fake -0.004610
[1703/5000][380/535][175839] Loss_D: -0.018222 Loss_G: 0.017065 Loss_D_real: -0.018531 Loss_D_fake -0.000309
[1703/5000][385/535][175840] Loss_D: -0.018762 Loss_G: 0.017071 Loss_D_real: -0.010211 Loss_D_fake 0.008551
[1703/5000][390/535][175841] Loss_D: -0.018995 Loss_G: -0.012559 Loss_D_real: -0.010317 Loss_D_fake 0.008678
[1703/5000][395/535][175842] Loss_D: -0.018303 Loss_G: 0.026801 Loss_D_real: -0.014906 Loss_D_fake 0.003398
[1703/5000][400/535][175843] Loss_D: -0.017238 Loss_G: 0.008570 Loss_D_real: 0.002235 Loss_D_fake 0.019472
[1703/5000][405/535][175844] Loss_D: -0.017924 Loss_G: 0.017502 Loss_D_real: -0.027447 Loss_D_fake -0.009523
[1703/5000][410/535][175845] Loss_D: -0.019320 Loss_G: -0.003862 Loss_D_real: -0.009397 Loss_D_fake 0.009923
[1703/5000][415/535][175846] Loss_D: -0.018892 Loss_G: -0.005726 Loss_D_real: -0.012227 Loss_D_fake 0.006665
[1703/5000][420/535][175847] Loss_D: -0.018018 Loss_G: -0.002963 Loss_D_real: -0.002293 Loss_D_fake 0.015725
[1703/5000][425/535][175848] Loss_D: -0.017620 Loss_G: 0.020695 Loss_D_real: -0.023578 Loss_D_fake -0.005958
[1703/5000][430/535][175849] Loss_D: -0.019591 Loss_G: 0.004203 Loss_D_real: -0.023130 Loss_D_fake -0.003538
[1703/5000][435/535][175850] Loss_D: -0.019363 Loss_G: 0.026218 Loss_D_real: -0.025970 Loss_D_fake -0.006607
[1703/5000][440/535][175851] Loss_D: -0.019231 Loss_G: 0.000958 Loss_D_real: -0.006932 Loss_D_fake 0.012299
[1703/5000][445/535][175852] Loss_D: -0.017867 Loss_G: 0.015368 Loss_D_real: -0.013496 Loss_D_fake 0.004371
[1703/5000][450/535][175853] Loss_D: -0.018443 Loss_G: 0.004435 Loss_D_real: -0.015891 Loss_D_fake 0.002552
[1703/5000][455/535][175854] Loss_D: -0.019385 Loss_G: 0.019438 Loss_D_real: -0.004705 Loss_D_fake 0.014679
[1703/5000][460/535][175855] Loss_D: -0.018785 Loss_G: 0.008598 Loss_D_real: -0.017465 Loss_D_fake 0.001320
[1703/5000][465/535][175856] Loss_D: -0.019341 Loss_G: 0.008619 Loss_D_real: -0.021147 Loss_D_fake -0.001806
[1703/5000][470/535][175857] Loss_D: -0.017919 Loss_G: 0.012896 Loss_D_real: -0.025040 Loss_D_fake -0.007121
[1703/5000][475/535][175858] Loss_D: -0.019187 Loss_G: 0.006205 Loss_D_real: -0.021607 Loss_D_fake -0.002420
[1703/5000][480/535][175859] Loss_D: -0.017823 Loss_G: 0.002134 Loss_D_real: -0.009340 Loss_D_fake 0.008483
[1703/5000][485/535][175860] Loss_D: -0.019012 Loss_G: 0.008097 Loss_D_real: -0.022490 Loss_D_fake -0.003478
[1703/5000][490/535][175861] Loss_D: -0.017950 Loss_G: -0.008752 Loss_D_real: -0.011005 Loss_D_fake 0.006945
[1703/5000][495/535][175862] Loss_D: -0.018188 Loss_G: 0.020070 Loss_D_real: -0.033124 Loss_D_fake -0.014936
[1703/5000][500/535][175863] Loss_D: -0.019557 Loss_G: 0.007243 Loss_D_real: -0.019232 Loss_D_fake 0.000325
[1703/5000][505/535][175864] Loss_D: -0.018441 Loss_G: 0.006650 Loss_D_real: -0.012284 Loss_D_fake 0.006157
[1703/5000][510/535][175865] Loss_D: -0.016344 Loss_G: 0.022904 Loss_D_real: -0.030736 Loss_D_fake -0.014392
[1703/5000][515/535][175866] Loss_D: -0.017053 Loss_G: -0.001232 Loss_D_real: 0.004301 Loss_D_fake 0.021354
[1703/5000][520/535][175867] Loss_D: -0.019576 Loss_G: 0.000715 Loss_D_real: -0.008907 Loss_D_fake 0.010669
[1703/5000][525/535][175868] Loss_D: -0.018413 Loss_G: -0.013029 Loss_D_real: 0.005224 Loss_D_fake 0.023637
[1703/5000][530/535][175869] Loss_D: -0.019083 Loss_G: 0.011950 Loss_D_real: -0.012487 Loss_D_fake 0.006596
[1703/5000][535/535][175870] Loss_D: -0.014027 Loss_G: 0.011754 Loss_D_real: -0.014158 Loss_D_fake -0.000131
[1704/5000][5/535][175871] Loss_D: -0.019120 Loss_G: -0.003269 Loss_D_real: -0.008205 Loss_D_fake 0.010915
[1704/5000][10/535][175872] Loss_D: -0.017901 Loss_G: 0.018575 Loss_D_real: -0.016896 Loss_D_fake 0.001004
[1704/5000][15/535][175873] Loss_D: -0.018034 Loss_G: 0.013059 Loss_D_real: -0.014179 Loss_D_fake 0.003855
[1704/5000][20/535][175874] Loss_D: -0.019052 Loss_G: 0.001920 Loss_D_real: -0.020526 Loss_D_fake -0.001474
[1704/5000][25/535][175875] Loss_D: -0.018617 Loss_G: 0.005316 Loss_D_real: -0.017084 Loss_D_fake 0.001534
[1704/5000][30/535][175876] Loss_D: -0.018765 Loss_G: 0.010512 Loss_D_real: -0.010291 Loss_D_fake 0.008474
[1704/5000][35/535][175877] Loss_D: -0.019504 Loss_G: 0.019096 Loss_D_real: -0.020253 Loss_D_fake -0.000749
[1704/5000][40/535][175878] Loss_D: -0.018555 Loss_G: -0.008206 Loss_D_real: -0.009787 Loss_D_fake 0.008767
[1704/5000][45/535][175879] Loss_D: -0.018242 Loss_G: 0.002486 Loss_D_real: -0.017061 Loss_D_fake 0.001181
[1704/5000][50/535][175880] Loss_D: -0.018690 Loss_G: 0.004839 Loss_D_real: -0.017872 Loss_D_fake 0.000817
[1704/5000][55/535][175881] Loss_D: -0.017798 Loss_G: 0.005909 Loss_D_real: -0.023778 Loss_D_fake -0.005981
[1704/5000][60/535][175882] Loss_D: -0.018065 Loss_G: -0.001136 Loss_D_real: -0.011349 Loss_D_fake 0.006716
[1704/5000][65/535][175883] Loss_D: -0.017725 Loss_G: -0.003451 Loss_D_real: -0.000305 Loss_D_fake 0.017420
[1704/5000][70/535][175884] Loss_D: -0.017545 Loss_G: -0.009097 Loss_D_real: -0.007312 Loss_D_fake 0.010233
[1704/5000][75/535][175885] Loss_D: -0.017953 Loss_G: 0.004885 Loss_D_real: -0.003962 Loss_D_fake 0.013991
[1704/5000][80/535][175886] Loss_D: -0.017629 Loss_G: 0.031206 Loss_D_real: -0.024760 Loss_D_fake -0.007131
[1704/5000][85/535][175887] Loss_D: -0.018893 Loss_G: -0.011111 Loss_D_real: 0.000159 Loss_D_fake 0.019052
[1704/5000][90/535][175888] Loss_D: -0.017369 Loss_G: 0.016577 Loss_D_real: -0.014956 Loss_D_fake 0.002413
[1704/5000][95/535][175889] Loss_D: -0.017247 Loss_G: 0.019555 Loss_D_real: -0.027940 Loss_D_fake -0.010693
[1704/5000][100/535][175890] Loss_D: -0.018206 Loss_G: 0.010556 Loss_D_real: -0.016189 Loss_D_fake 0.002017
[1704/5000][105/535][175891] Loss_D: -0.019652 Loss_G: 0.012861 Loss_D_real: -0.017082 Loss_D_fake 0.002570
[1704/5000][110/535][175892] Loss_D: -0.019997 Loss_G: -0.000995 Loss_D_real: -0.022807 Loss_D_fake -0.002810
[1704/5000][115/535][175893] Loss_D: -0.016779 Loss_G: -0.001667 Loss_D_real: 0.007770 Loss_D_fake 0.024549
[1704/5000][120/535][175894] Loss_D: -0.019317 Loss_G: 0.010110 Loss_D_real: -0.008228 Loss_D_fake 0.011090
[1704/5000][125/535][175895] Loss_D: -0.020239 Loss_G: 0.010250 Loss_D_real: -0.011677 Loss_D_fake 0.008562
[1704/5000][130/535][175896] Loss_D: -0.020117 Loss_G: 0.007740 Loss_D_real: -0.004402 Loss_D_fake 0.015715
[1704/5000][135/535][175897] Loss_D: -0.018809 Loss_G: 0.010989 Loss_D_real: -0.015346 Loss_D_fake 0.003463
[1704/5000][140/535][175898] Loss_D: -0.020152 Loss_G: 0.004854 Loss_D_real: -0.013920 Loss_D_fake 0.006233
[1704/5000][145/535][175899] Loss_D: -0.018546 Loss_G: 0.020458 Loss_D_real: -0.018525 Loss_D_fake 0.000021
[1704/5000][150/535][175900] Loss_D: -0.017594 Loss_G: -0.013885 Loss_D_real: -0.011183 Loss_D_fake 0.006410
[1704/5000][155/535][175901] Loss_D: -0.017469 Loss_G: 0.001234 Loss_D_real: -0.017191 Loss_D_fake 0.000278
[1704/5000][160/535][175902] Loss_D: -0.019044 Loss_G: 0.005629 Loss_D_real: -0.008634 Loss_D_fake 0.010411
[1704/5000][165/535][175903] Loss_D: -0.016826 Loss_G: 0.022987 Loss_D_real: -0.030697 Loss_D_fake -0.013870
[1704/5000][170/535][175904] Loss_D: -0.019458 Loss_G: 0.004918 Loss_D_real: -0.012403 Loss_D_fake 0.007054
[1704/5000][175/535][175905] Loss_D: -0.018209 Loss_G: 0.005186 Loss_D_real: -0.010689 Loss_D_fake 0.007520
[1704/5000][180/535][175906] Loss_D: -0.020123 Loss_G: -0.008590 Loss_D_real: -0.000841 Loss_D_fake 0.019282
[1704/5000][185/535][175907] Loss_D: -0.018235 Loss_G: 0.020907 Loss_D_real: -0.010009 Loss_D_fake 0.008227
[1704/5000][190/535][175908] Loss_D: -0.017340 Loss_G: -0.003894 Loss_D_real: 0.007180 Loss_D_fake 0.024520
[1704/5000][195/535][175909] Loss_D: -0.016160 Loss_G: 0.025267 Loss_D_real: -0.022775 Loss_D_fake -0.006615
[1704/5000][200/535][175910] Loss_D: -0.018644 Loss_G: 0.006666 Loss_D_real: -0.014774 Loss_D_fake 0.003870
[1704/5000][205/535][175911] Loss_D: -0.018359 Loss_G: 0.000645 Loss_D_real: -0.008102 Loss_D_fake 0.010257
[1704/5000][210/535][175912] Loss_D: -0.019767 Loss_G: 0.018627 Loss_D_real: -0.017759 Loss_D_fake 0.002008
[1704/5000][215/535][175913] Loss_D: -0.020063 Loss_G: 0.010149 Loss_D_real: -0.015559 Loss_D_fake 0.004503
[1704/5000][220/535][175914] Loss_D: -0.019254 Loss_G: -0.003781 Loss_D_real: -0.001796 Loss_D_fake 0.017458
[1704/5000][225/535][175915] Loss_D: -0.018767 Loss_G: -0.015431 Loss_D_real: -0.004895 Loss_D_fake 0.013872
[1704/5000][230/535][175916] Loss_D: -0.019141 Loss_G: 0.004636 Loss_D_real: -0.010548 Loss_D_fake 0.008593
[1704/5000][235/535][175917] Loss_D: -0.019024 Loss_G: 0.018418 Loss_D_real: -0.023212 Loss_D_fake -0.004188
[1704/5000][240/535][175918] Loss_D: -0.018390 Loss_G: -0.005959 Loss_D_real: 0.000135 Loss_D_fake 0.018525
[1704/5000][245/535][175919] Loss_D: -0.018052 Loss_G: 0.009110 Loss_D_real: -0.019286 Loss_D_fake -0.001235
[1704/5000][250/535][175920] Loss_D: -0.017757 Loss_G: -0.003235 Loss_D_real: -0.006355 Loss_D_fake 0.011402
[1704/5000][255/535][175921] Loss_D: -0.017264 Loss_G: 0.027007 Loss_D_real: -0.020513 Loss_D_fake -0.003248
[1704/5000][260/535][175922] Loss_D: -0.018024 Loss_G: -0.002007 Loss_D_real: -0.019058 Loss_D_fake -0.001035
[1704/5000][265/535][175923] Loss_D: -0.018316 Loss_G: 0.023583 Loss_D_real: -0.027841 Loss_D_fake -0.009525
[1704/5000][270/535][175924] Loss_D: -0.019456 Loss_G: 0.005284 Loss_D_real: -0.011140 Loss_D_fake 0.008316
[1704/5000][275/535][175925] Loss_D: -0.018115 Loss_G: -0.009983 Loss_D_real: -0.004011 Loss_D_fake 0.014105
[1704/5000][280/535][175926] Loss_D: -0.017422 Loss_G: -0.015086 Loss_D_real: -0.018645 Loss_D_fake -0.001223
[1704/5000][285/535][175927] Loss_D: -0.016761 Loss_G: -0.000484 Loss_D_real: -0.007605 Loss_D_fake 0.009155
[1704/5000][290/535][175928] Loss_D: -0.018284 Loss_G: -0.005717 Loss_D_real: -0.004477 Loss_D_fake 0.013807
[1704/5000][295/535][175929] Loss_D: -0.017776 Loss_G: 0.022627 Loss_D_real: -0.021748 Loss_D_fake -0.003972
[1704/5000][300/535][175930] Loss_D: -0.017855 Loss_G: 0.005110 Loss_D_real: -0.024695 Loss_D_fake -0.006840
[1704/5000][305/535][175931] Loss_D: -0.018447 Loss_G: -0.006539 Loss_D_real: 0.005331 Loss_D_fake 0.023778
[1704/5000][310/535][175932] Loss_D: -0.019517 Loss_G: -0.008304 Loss_D_real: -0.006733 Loss_D_fake 0.012784
[1704/5000][315/535][175933] Loss_D: -0.017909 Loss_G: 0.013722 Loss_D_real: -0.019778 Loss_D_fake -0.001869
[1704/5000][320/535][175934] Loss_D: -0.019015 Loss_G: -0.007265 Loss_D_real: 0.000900 Loss_D_fake 0.019915
[1704/5000][325/535][175935] Loss_D: -0.019554 Loss_G: 0.009907 Loss_D_real: -0.011476 Loss_D_fake 0.008079
[1704/5000][330/535][175936] Loss_D: -0.018359 Loss_G: -0.003963 Loss_D_real: -0.004860 Loss_D_fake 0.013499
[1704/5000][335/535][175937] Loss_D: -0.019520 Loss_G: 0.012432 Loss_D_real: -0.025655 Loss_D_fake -0.006136
[1704/5000][340/535][175938] Loss_D: -0.018637 Loss_G: -0.000596 Loss_D_real: -0.010843 Loss_D_fake 0.007794
[1704/5000][345/535][175939] Loss_D: -0.018726 Loss_G: 0.013678 Loss_D_real: -0.028934 Loss_D_fake -0.010208
[1704/5000][350/535][175940] Loss_D: -0.020625 Loss_G: 0.003858 Loss_D_real: -0.002494 Loss_D_fake 0.018131
[1704/5000][355/535][175941] Loss_D: -0.019036 Loss_G: -0.005481 Loss_D_real: 0.001277 Loss_D_fake 0.020313
[1704/5000][360/535][175942] Loss_D: -0.018776 Loss_G: -0.004652 Loss_D_real: -0.011756 Loss_D_fake 0.007020
[1704/5000][365/535][175943] Loss_D: -0.018566 Loss_G: 0.024210 Loss_D_real: -0.018584 Loss_D_fake -0.000019
[1704/5000][370/535][175944] Loss_D: -0.017142 Loss_G: -0.012815 Loss_D_real: -0.003014 Loss_D_fake 0.014128
[1704/5000][375/535][175945] Loss_D: -0.018866 Loss_G: -0.000626 Loss_D_real: -0.009843 Loss_D_fake 0.009022
[1704/5000][380/535][175946] Loss_D: -0.018062 Loss_G: 0.003807 Loss_D_real: -0.009204 Loss_D_fake 0.008858
[1704/5000][385/535][175947] Loss_D: -0.018360 Loss_G: 0.007666 Loss_D_real: -0.012219 Loss_D_fake 0.006141
[1704/5000][390/535][175948] Loss_D: -0.017128 Loss_G: -0.005377 Loss_D_real: 0.016552 Loss_D_fake 0.033680
[1704/5000][395/535][175949] Loss_D: -0.018109 Loss_G: 0.000812 Loss_D_real: -0.007973 Loss_D_fake 0.010136
[1704/5000][400/535][175950] Loss_D: -0.018224 Loss_G: 0.020880 Loss_D_real: -0.027988 Loss_D_fake -0.009763
[1704/5000][405/535][175951] Loss_D: -0.018338 Loss_G: -0.007947 Loss_D_real: -0.000886 Loss_D_fake 0.017452
[1704/5000][410/535][175952] Loss_D: -0.017462 Loss_G: -0.007356 Loss_D_real: -0.021255 Loss_D_fake -0.003793
[1704/5000][415/535][175953] Loss_D: -0.019102 Loss_G: 0.015032 Loss_D_real: -0.019368 Loss_D_fake -0.000266
[1704/5000][420/535][175954] Loss_D: -0.018890 Loss_G: -0.002901 Loss_D_real: -0.012596 Loss_D_fake 0.006294
[1704/5000][425/535][175955] Loss_D: -0.019506 Loss_G: 0.001708 Loss_D_real: -0.007931 Loss_D_fake 0.011575
[1704/5000][430/535][175956] Loss_D: -0.019210 Loss_G: -0.002397 Loss_D_real: -0.003885 Loss_D_fake 0.015325
[1704/5000][435/535][175957] Loss_D: -0.020056 Loss_G: 0.005935 Loss_D_real: -0.004056 Loss_D_fake 0.015999
[1704/5000][440/535][175958] Loss_D: -0.018756 Loss_G: -0.006556 Loss_D_real: -0.006822 Loss_D_fake 0.011934
[1704/5000][445/535][175959] Loss_D: -0.019831 Loss_G: 0.011799 Loss_D_real: -0.017798 Loss_D_fake 0.002033
[1704/5000][450/535][175960] Loss_D: -0.018700 Loss_G: 0.018335 Loss_D_real: -0.018862 Loss_D_fake -0.000162
[1704/5000][455/535][175961] Loss_D: -0.020422 Loss_G: 0.013932 Loss_D_real: -0.012926 Loss_D_fake 0.007496
[1704/5000][460/535][175962] Loss_D: -0.019283 Loss_G: -0.000998 Loss_D_real: -0.012478 Loss_D_fake 0.006804
[1704/5000][465/535][175963] Loss_D: -0.019984 Loss_G: -0.006116 Loss_D_real: -0.019094 Loss_D_fake 0.000890
[1704/5000][470/535][175964] Loss_D: -0.017874 Loss_G: 0.018589 Loss_D_real: -0.020718 Loss_D_fake -0.002844
[1704/5000][475/535][175965] Loss_D: -0.018277 Loss_G: 0.010339 Loss_D_real: -0.015286 Loss_D_fake 0.002990
[1704/5000][480/535][175966] Loss_D: -0.018386 Loss_G: 0.005653 Loss_D_real: -0.014506 Loss_D_fake 0.003879
[1704/5000][485/535][175967] Loss_D: -0.019539 Loss_G: -0.010538 Loss_D_real: -0.004855 Loss_D_fake 0.014684
[1704/5000][490/535][175968] Loss_D: -0.018578 Loss_G: 0.014055 Loss_D_real: -0.019028 Loss_D_fake -0.000450
[1704/5000][495/535][175969] Loss_D: -0.018591 Loss_G: 0.009014 Loss_D_real: -0.002917 Loss_D_fake 0.015675
[1704/5000][500/535][175970] Loss_D: -0.017389 Loss_G: 0.021897 Loss_D_real: -0.024529 Loss_D_fake -0.007140
[1704/5000][505/535][175971] Loss_D: -0.018234 Loss_G: -0.002403 Loss_D_real: -0.012901 Loss_D_fake 0.005333
[1704/5000][510/535][175972] Loss_D: -0.018522 Loss_G: -0.007112 Loss_D_real: -0.007208 Loss_D_fake 0.011313
[1704/5000][515/535][175973] Loss_D: -0.018292 Loss_G: 0.001986 Loss_D_real: -0.018943 Loss_D_fake -0.000651
[1704/5000][520/535][175974] Loss_D: -0.017745 Loss_G: 0.020711 Loss_D_real: -0.025551 Loss_D_fake -0.007806
[1704/5000][525/535][175975] Loss_D: -0.017890 Loss_G: 0.004442 Loss_D_real: -0.022563 Loss_D_fake -0.004673
[1704/5000][530/535][175976] Loss_D: -0.017272 Loss_G: -0.004459 Loss_D_real: -0.007903 Loss_D_fake 0.009369
[1704/5000][535/535][175977] Loss_D: -0.018077 Loss_G: -0.002196 Loss_D_real: 0.003066 Loss_D_fake 0.021142
[1705/5000][5/535][175978] Loss_D: -0.018889 Loss_G: 0.008409 Loss_D_real: -0.014097 Loss_D_fake 0.004792
[1705/5000][10/535][175979] Loss_D: -0.019081 Loss_G: 0.015078 Loss_D_real: -0.011411 Loss_D_fake 0.007671
[1705/5000][15/535][175980] Loss_D: -0.017965 Loss_G: 0.008460 Loss_D_real: -0.014622 Loss_D_fake 0.003343
[1705/5000][20/535][175981] Loss_D: -0.018791 Loss_G: -0.002520 Loss_D_real: -0.009329 Loss_D_fake 0.009462
[1705/5000][25/535][175982] Loss_D: -0.017912 Loss_G: 0.007969 Loss_D_real: -0.014348 Loss_D_fake 0.003564
[1705/5000][30/535][175983] Loss_D: -0.019010 Loss_G: 0.013843 Loss_D_real: -0.013998 Loss_D_fake 0.005012
[1705/5000][35/535][175984] Loss_D: -0.018411 Loss_G: 0.012161 Loss_D_real: -0.021810 Loss_D_fake -0.003399
[1705/5000][40/535][175985] Loss_D: -0.016557 Loss_G: 0.018896 Loss_D_real: -0.019946 Loss_D_fake -0.003389
[1705/5000][45/535][175986] Loss_D: -0.017637 Loss_G: 0.008399 Loss_D_real: -0.020641 Loss_D_fake -0.003004
[1705/5000][50/535][175987] Loss_D: -0.018238 Loss_G: 0.009983 Loss_D_real: -0.033175 Loss_D_fake -0.014937
[1705/5000][55/535][175988] Loss_D: -0.018835 Loss_G: 0.008483 Loss_D_real: -0.021114 Loss_D_fake -0.002279
[1705/5000][60/535][175989] Loss_D: -0.017509 Loss_G: -0.009577 Loss_D_real: -0.001806 Loss_D_fake 0.015704
[1705/5000][65/535][175990] Loss_D: -0.017523 Loss_G: 0.001262 Loss_D_real: -0.015933 Loss_D_fake 0.001590
[1705/5000][70/535][175991] Loss_D: -0.016938 Loss_G: -0.006783 Loss_D_real: 0.004541 Loss_D_fake 0.021479
[1705/5000][75/535][175992] Loss_D: -0.019093 Loss_G: 0.000506 Loss_D_real: -0.003231 Loss_D_fake 0.015863
[1705/5000][80/535][175993] Loss_D: -0.017828 Loss_G: 0.011443 Loss_D_real: -0.003948 Loss_D_fake 0.013880
[1705/5000][85/535][175994] Loss_D: -0.017821 Loss_G: -0.000633 Loss_D_real: 0.000268 Loss_D_fake 0.018088
[1705/5000][90/535][175995] Loss_D: -0.018476 Loss_G: 0.006077 Loss_D_real: -0.015255 Loss_D_fake 0.003221
[1705/5000][95/535][175996] Loss_D: -0.018921 Loss_G: 0.011067 Loss_D_real: -0.026357 Loss_D_fake -0.007437
[1705/5000][100/535][175997] Loss_D: -0.019267 Loss_G: 0.002448 Loss_D_real: 0.004718 Loss_D_fake 0.023985
[1705/5000][105/535][175998] Loss_D: -0.017730 Loss_G: 0.006691 Loss_D_real: -0.028267 Loss_D_fake -0.010537
[1705/5000][110/535][175999] Loss_D: -0.019720 Loss_G: 0.012449 Loss_D_real: -0.004880 Loss_D_fake 0.014839
[1705/5000][115/535][176000] Loss_D: -0.019261 Loss_G: -0.023731 Loss_D_real: -0.016645 Loss_D_fake 0.002615
[1705/5000][215/535][176001] Loss_D: -0.020845 Loss_G: 0.021140 Loss_D_real: -0.022804 Loss_D_fake -0.001958
[1705/5000][220/535][176002] Loss_D: -0.017309 Loss_G: -0.006478 Loss_D_real: 0.003840 Loss_D_fake 0.021148
[1705/5000][225/535][176003] Loss_D: -0.017362 Loss_G: 0.005504 Loss_D_real: -0.015783 Loss_D_fake 0.001580
[1705/5000][230/535][176004] Loss_D: -0.018255 Loss_G: -0.000204 Loss_D_real: -0.011425 Loss_D_fake 0.006829
[1705/5000][235/535][176005] Loss_D: -0.017475 Loss_G: 0.024371 Loss_D_real: -0.018441 Loss_D_fake -0.000967
[1705/5000][240/535][176006] Loss_D: -0.016460 Loss_G: 0.018733 Loss_D_real: -0.018292 Loss_D_fake -0.001832
[1705/5000][245/535][176007] Loss_D: -0.018204 Loss_G: 0.000553 Loss_D_real: -0.003704 Loss_D_fake 0.014500
[1705/5000][250/535][176008] Loss_D: -0.016333 Loss_G: 0.017446 Loss_D_real: -0.023956 Loss_D_fake -0.007623
[1705/5000][255/535][176009] Loss_D: -0.017595 Loss_G: 0.016203 Loss_D_real: -0.017518 Loss_D_fake 0.000077
[1705/5000][260/535][176010] Loss_D: -0.018547 Loss_G: 0.003572 Loss_D_real: -0.007640 Loss_D_fake 0.010907
[1705/5000][265/535][176011] Loss_D: -0.020128 Loss_G: 0.007172 Loss_D_real: -0.027080 Loss_D_fake -0.006952
[1705/5000][270/535][176012] Loss_D: -0.019024 Loss_G: -0.006142 Loss_D_real: -0.006313 Loss_D_fake 0.012711
[1705/5000][275/535][176013] Loss_D: -0.019138 Loss_G: 0.005366 Loss_D_real: -0.011572 Loss_D_fake 0.007566
[1705/5000][280/535][176014] Loss_D: -0.017808 Loss_G: 0.011393 Loss_D_real: -0.011805 Loss_D_fake 0.006003
[1705/5000][285/535][176015] Loss_D: -0.018832 Loss_G: -0.012431 Loss_D_real: -0.011639 Loss_D_fake 0.007193
[1705/5000][290/535][176016] Loss_D: -0.016487 Loss_G: 0.007148 Loss_D_real: -0.016911 Loss_D_fake -0.000423
[1705/5000][295/535][176017] Loss_D: -0.016916 Loss_G: 0.007063 Loss_D_real: -0.007510 Loss_D_fake 0.009406
[1705/5000][300/535][176018] Loss_D: -0.018224 Loss_G: -0.002443 Loss_D_real: -0.013154 Loss_D_fake 0.005070
[1705/5000][305/535][176019] Loss_D: -0.017120 Loss_G: 0.012010 Loss_D_real: -0.021852 Loss_D_fake -0.004732
[1705/5000][310/535][176020] Loss_D: -0.018770 Loss_G: -0.012345 Loss_D_real: -0.006851 Loss_D_fake 0.011919
[1705/5000][315/535][176021] Loss_D: -0.018199 Loss_G: 0.013159 Loss_D_real: -0.017695 Loss_D_fake 0.000503
[1705/5000][320/535][176022] Loss_D: -0.017593 Loss_G: -0.009924 Loss_D_real: -0.002523 Loss_D_fake 0.015070
[1705/5000][325/535][176023] Loss_D: -0.017542 Loss_G: 0.008038 Loss_D_real: -0.019608 Loss_D_fake -0.002066
[1705/5000][330/535][176024] Loss_D: -0.018521 Loss_G: 0.010541 Loss_D_real: -0.011905 Loss_D_fake 0.006616
[1705/5000][335/535][176025] Loss_D: -0.018181 Loss_G: 0.017133 Loss_D_real: -0.018445 Loss_D_fake -0.000263
[1705/5000][340/535][176026] Loss_D: -0.018587 Loss_G: 0.010801 Loss_D_real: -0.030294 Loss_D_fake -0.011707
[1705/5000][345/535][176027] Loss_D: -0.017777 Loss_G: -0.006219 Loss_D_real: -0.005380 Loss_D_fake 0.012398
[1705/5000][350/535][176028] Loss_D: -0.018009 Loss_G: 0.005114 Loss_D_real: -0.019946 Loss_D_fake -0.001936
[1705/5000][355/535][176029] Loss_D: -0.017569 Loss_G: -0.001121 Loss_D_real: -0.013629 Loss_D_fake 0.003941
[1705/5000][360/535][176030] Loss_D: -0.019307 Loss_G: 0.010617 Loss_D_real: -0.009975 Loss_D_fake 0.009331
[1705/5000][365/535][176031] Loss_D: -0.017436 Loss_G: 0.005096 Loss_D_real: -0.023739 Loss_D_fake -0.006303
[1705/5000][370/535][176032] Loss_D: -0.017743 Loss_G: 0.033921 Loss_D_real: -0.026575 Loss_D_fake -0.008833
[1705/5000][375/535][176033] Loss_D: -0.017916 Loss_G: 0.007478 Loss_D_real: -0.011455 Loss_D_fake 0.006461
[1705/5000][380/535][176034] Loss_D: -0.016309 Loss_G: 0.016702 Loss_D_real: -0.028046 Loss_D_fake -0.011737
[1705/5000][385/535][176035] Loss_D: -0.018818 Loss_G: -0.012132 Loss_D_real: -0.003227 Loss_D_fake 0.015592
[1705/5000][390/535][176036] Loss_D: -0.018969 Loss_G: 0.014900 Loss_D_real: -0.006736 Loss_D_fake 0.012233
[1705/5000][395/535][176037] Loss_D: -0.020109 Loss_G: 0.017221 Loss_D_real: -0.027546 Loss_D_fake -0.007437
[1705/5000][400/535][176038] Loss_D: -0.017433 Loss_G: 0.019489 Loss_D_real: -0.036322 Loss_D_fake -0.018890
[1705/5000][405/535][176039] Loss_D: -0.020315 Loss_G: 0.011575 Loss_D_real: -0.020678 Loss_D_fake -0.000363
[1705/5000][410/535][176040] Loss_D: -0.017357 Loss_G: -0.008117 Loss_D_real: 0.007915 Loss_D_fake 0.025272
[1705/5000][415/535][176041] Loss_D: -0.018224 Loss_G: -0.004946 Loss_D_real: -0.011874 Loss_D_fake 0.006350
[1705/5000][420/535][176042] Loss_D: -0.019005 Loss_G: 0.003113 Loss_D_real: -0.013873 Loss_D_fake 0.005132
[1705/5000][425/535][176043] Loss_D: -0.017371 Loss_G: 0.014163 Loss_D_real: -0.017349 Loss_D_fake 0.000021
[1705/5000][430/535][176044] Loss_D: -0.018662 Loss_G: -0.007972 Loss_D_real: -0.009204 Loss_D_fake 0.009458
[1705/5000][435/535][176045] Loss_D: -0.018228 Loss_G: 0.016909 Loss_D_real: -0.028754 Loss_D_fake -0.010526
[1705/5000][440/535][176046] Loss_D: -0.018104 Loss_G: 0.017266 Loss_D_real: -0.016917 Loss_D_fake 0.001187
[1705/5000][445/535][176047] Loss_D: -0.018362 Loss_G: 0.009536 Loss_D_real: -0.006813 Loss_D_fake 0.011549
[1705/5000][450/535][176048] Loss_D: -0.018295 Loss_G: -0.000799 Loss_D_real: -0.019098 Loss_D_fake -0.000803
[1705/5000][455/535][176049] Loss_D: -0.017966 Loss_G: 0.013235 Loss_D_real: 0.001239 Loss_D_fake 0.019204
[1705/5000][460/535][176050] Loss_D: -0.018818 Loss_G: 0.010976 Loss_D_real: -0.014655 Loss_D_fake 0.004163
[1705/5000][465/535][176051] Loss_D: -0.019609 Loss_G: 0.020971 Loss_D_real: -0.018365 Loss_D_fake 0.001244
[1705/5000][470/535][176052] Loss_D: -0.019261 Loss_G: 0.019202 Loss_D_real: -0.017324 Loss_D_fake 0.001937
[1705/5000][475/535][176053] Loss_D: -0.018891 Loss_G: -0.007798 Loss_D_real: 0.003465 Loss_D_fake 0.022356
[1705/5000][480/535][176054] Loss_D: -0.018383 Loss_G: 0.010079 Loss_D_real: -0.014855 Loss_D_fake 0.003528
[1705/5000][485/535][176055] Loss_D: -0.019352 Loss_G: -0.002539 Loss_D_real: 0.000466 Loss_D_fake 0.019818
[1705/5000][490/535][176056] Loss_D: -0.018557 Loss_G: 0.011579 Loss_D_real: -0.006381 Loss_D_fake 0.012176
[1705/5000][495/535][176057] Loss_D: -0.018157 Loss_G: -0.007615 Loss_D_real: -0.008160 Loss_D_fake 0.009997
[1705/5000][500/535][176058] Loss_D: -0.019565 Loss_G: -0.000264 Loss_D_real: -0.023711 Loss_D_fake -0.004146
[1705/5000][505/535][176059] Loss_D: -0.018816 Loss_G: 0.003369 Loss_D_real: -0.013867 Loss_D_fake 0.004949
[1705/5000][510/535][176060] Loss_D: -0.018525 Loss_G: 0.003358 Loss_D_real: -0.015179 Loss_D_fake 0.003346
[1705/5000][515/535][176061] Loss_D: -0.018863 Loss_G: 0.000742 Loss_D_real: -0.004743 Loss_D_fake 0.014119
[1705/5000][520/535][176062] Loss_D: -0.019576 Loss_G: 0.004044 Loss_D_real: -0.000442 Loss_D_fake 0.019133
[1705/5000][525/535][176063] Loss_D: -0.019432 Loss_G: 0.012619 Loss_D_real: -0.005600 Loss_D_fake 0.013833
[1705/5000][530/535][176064] Loss_D: -0.016460 Loss_G: -0.012467 Loss_D_real: 0.012403 Loss_D_fake 0.028863
[1705/5000][535/535][176065] Loss_D: -0.016260 Loss_G: 0.012311 Loss_D_real: -0.018369 Loss_D_fake -0.002109
[1706/5000][5/535][176066] Loss_D: -0.018936 Loss_G: 0.006488 Loss_D_real: -0.010650 Loss_D_fake 0.008286
[1706/5000][10/535][176067] Loss_D: -0.019070 Loss_G: 0.009323 Loss_D_real: -0.020893 Loss_D_fake -0.001822
[1706/5000][15/535][176068] Loss_D: -0.019979 Loss_G: 0.001281 Loss_D_real: -0.016067 Loss_D_fake 0.003912
[1706/5000][20/535][176069] Loss_D: -0.017107 Loss_G: 0.012281 Loss_D_real: -0.023968 Loss_D_fake -0.006861
[1706/5000][25/535][176070] Loss_D: -0.018151 Loss_G: 0.001936 Loss_D_real: -0.014779 Loss_D_fake 0.003373
[1706/5000][30/535][176071] Loss_D: -0.018032 Loss_G: 0.020056 Loss_D_real: -0.004438 Loss_D_fake 0.013594
[1706/5000][35/535][176072] Loss_D: -0.018610 Loss_G: -0.008516 Loss_D_real: -0.013792 Loss_D_fake 0.004817
[1706/5000][40/535][176073] Loss_D: -0.018739 Loss_G: 0.007038 Loss_D_real: -0.014993 Loss_D_fake 0.003746
[1706/5000][45/535][176074] Loss_D: -0.018135 Loss_G: -0.012133 Loss_D_real: -0.007348 Loss_D_fake 0.010787
[1706/5000][50/535][176075] Loss_D: -0.017035 Loss_G: 0.009595 Loss_D_real: -0.010615 Loss_D_fake 0.006420
[1706/5000][55/535][176076] Loss_D: -0.018189 Loss_G: 0.014509 Loss_D_real: -0.007782 Loss_D_fake 0.010406
[1706/5000][60/535][176077] Loss_D: -0.018196 Loss_G: 0.019502 Loss_D_real: -0.022959 Loss_D_fake -0.004764
[1706/5000][65/535][176078] Loss_D: -0.018643 Loss_G: 0.005378 Loss_D_real: -0.015671 Loss_D_fake 0.002972
[1706/5000][70/535][176079] Loss_D: -0.017604 Loss_G: 0.007793 Loss_D_real: -0.013686 Loss_D_fake 0.003918
[1706/5000][75/535][176080] Loss_D: -0.017829 Loss_G: -0.005501 Loss_D_real: 0.007835 Loss_D_fake 0.025664
[1706/5000][80/535][176081] Loss_D: -0.018195 Loss_G: 0.013248 Loss_D_real: -0.009250 Loss_D_fake 0.008946
[1706/5000][85/535][176082] Loss_D: -0.019270 Loss_G: 0.008477 Loss_D_real: -0.018677 Loss_D_fake 0.000593
[1706/5000][90/535][176083] Loss_D: -0.018433 Loss_G: -0.016081 Loss_D_real: -0.006129 Loss_D_fake 0.012304
[1706/5000][95/535][176084] Loss_D: -0.016074 Loss_G: 0.021222 Loss_D_real: -0.031323 Loss_D_fake -0.015249
[1706/5000][100/535][176085] Loss_D: -0.019018 Loss_G: 0.015702 Loss_D_real: -0.035307 Loss_D_fake -0.016289
[1706/5000][105/535][176086] Loss_D: -0.018865 Loss_G: 0.001197 Loss_D_real: -0.019486 Loss_D_fake -0.000622
[1706/5000][110/535][176087] Loss_D: -0.019820 Loss_G: 0.001903 Loss_D_real: -0.022530 Loss_D_fake -0.002709
[1706/5000][115/535][176088] Loss_D: -0.017586 Loss_G: 0.009791 Loss_D_real: -0.007661 Loss_D_fake 0.009924
[1706/5000][120/535][176089] Loss_D: -0.018316 Loss_G: 0.021062 Loss_D_real: -0.030126 Loss_D_fake -0.011811
[1706/5000][125/535][176090] Loss_D: -0.019144 Loss_G: 0.001927 Loss_D_real: -0.009084 Loss_D_fake 0.010060
[1706/5000][130/535][176091] Loss_D: -0.019105 Loss_G: 0.010812 Loss_D_real: -0.021061 Loss_D_fake -0.001955
[1706/5000][135/535][176092] Loss_D: -0.018727 Loss_G: 0.002880 Loss_D_real: -0.018135 Loss_D_fake 0.000592
[1706/5000][140/535][176093] Loss_D: -0.018753 Loss_G: -0.002670 Loss_D_real: -0.004046 Loss_D_fake 0.014707
[1706/5000][145/535][176094] Loss_D: -0.018466 Loss_G: -0.004748 Loss_D_real: -0.014998 Loss_D_fake 0.003469
[1706/5000][150/535][176095] Loss_D: -0.019175 Loss_G: 0.022481 Loss_D_real: -0.024599 Loss_D_fake -0.005424
[1706/5000][155/535][176096] Loss_D: -0.019609 Loss_G: 0.006283 Loss_D_real: -0.021682 Loss_D_fake -0.002073
[1706/5000][160/535][176097] Loss_D: -0.017769 Loss_G: -0.006211 Loss_D_real: 0.006758 Loss_D_fake 0.024527
[1706/5000][165/535][176098] Loss_D: -0.018964 Loss_G: 0.014875 Loss_D_real: -0.025804 Loss_D_fake -0.006840
[1706/5000][170/535][176099] Loss_D: -0.017216 Loss_G: 0.015331 Loss_D_real: -0.017461 Loss_D_fake -0.000246
[1706/5000][175/535][176100] Loss_D: -0.016318 Loss_G: 0.037624 Loss_D_real: -0.027313 Loss_D_fake -0.010996
[1706/5000][180/535][176101] Loss_D: -0.016318 Loss_G: 0.023697 Loss_D_real: -0.025339 Loss_D_fake -0.009021
[1706/5000][185/535][176102] Loss_D: -0.019679 Loss_G: 0.012960 Loss_D_real: -0.017518 Loss_D_fake 0.002161
[1706/5000][190/535][176103] Loss_D: -0.018377 Loss_G: 0.011045 Loss_D_real: -0.023742 Loss_D_fake -0.005364
[1706/5000][195/535][176104] Loss_D: -0.019443 Loss_G: 0.000245 Loss_D_real: -0.007156 Loss_D_fake 0.012287
[1706/5000][200/535][176105] Loss_D: -0.019787 Loss_G: 0.008615 Loss_D_real: -0.015846 Loss_D_fake 0.003941
[1706/5000][205/535][176106] Loss_D: -0.019209 Loss_G: 0.009493 Loss_D_real: -0.016437 Loss_D_fake 0.002771
[1706/5000][210/535][176107] Loss_D: -0.018618 Loss_G: -0.011064 Loss_D_real: -0.000395 Loss_D_fake 0.018223
[1706/5000][215/535][176108] Loss_D: -0.017528 Loss_G: 0.009964 Loss_D_real: -0.022917 Loss_D_fake -0.005388
[1706/5000][220/535][176109] Loss_D: -0.019053 Loss_G: 0.006255 Loss_D_real: -0.021891 Loss_D_fake -0.002838
[1706/5000][225/535][176110] Loss_D: -0.017677 Loss_G: 0.028730 Loss_D_real: -0.018986 Loss_D_fake -0.001308
[1706/5000][230/535][176111] Loss_D: -0.017064 Loss_G: -0.011729 Loss_D_real: 0.001319 Loss_D_fake 0.018384
[1706/5000][235/535][176112] Loss_D: -0.017828 Loss_G: 0.026176 Loss_D_real: -0.014306 Loss_D_fake 0.003522
[1706/5000][240/535][176113] Loss_D: -0.017710 Loss_G: 0.005703 Loss_D_real: -0.018690 Loss_D_fake -0.000981
[1706/5000][245/535][176114] Loss_D: -0.018412 Loss_G: -0.000658 Loss_D_real: -0.012712 Loss_D_fake 0.005699
[1706/5000][250/535][176115] Loss_D: -0.019380 Loss_G: 0.000369 Loss_D_real: -0.012024 Loss_D_fake 0.007356
[1706/5000][255/535][176116] Loss_D: -0.017790 Loss_G: -0.000176 Loss_D_real: -0.006692 Loss_D_fake 0.011098
[1706/5000][260/535][176117] Loss_D: -0.017718 Loss_G: 0.023567 Loss_D_real: -0.019200 Loss_D_fake -0.001482
[1706/5000][265/535][176118] Loss_D: -0.019372 Loss_G: -0.016834 Loss_D_real: -0.009692 Loss_D_fake 0.009680
[1706/5000][270/535][176119] Loss_D: -0.018465 Loss_G: 0.003402 Loss_D_real: -0.016357 Loss_D_fake 0.002108
[1706/5000][275/535][176120] Loss_D: -0.018382 Loss_G: -0.005600 Loss_D_real: -0.011703 Loss_D_fake 0.006679
[1706/5000][280/535][176121] Loss_D: -0.018161 Loss_G: -0.009934 Loss_D_real: -0.006406 Loss_D_fake 0.011755
[1706/5000][285/535][176122] Loss_D: -0.019597 Loss_G: 0.010389 Loss_D_real: 0.002944 Loss_D_fake 0.022541
[1706/5000][290/535][176123] Loss_D: -0.016879 Loss_G: 0.018800 Loss_D_real: -0.026712 Loss_D_fake -0.009833
[1706/5000][295/535][176124] Loss_D: -0.018472 Loss_G: 0.017535 Loss_D_real: -0.021145 Loss_D_fake -0.002673
[1706/5000][300/535][176125] Loss_D: -0.019364 Loss_G: 0.012854 Loss_D_real: -0.013560 Loss_D_fake 0.005804
[1706/5000][305/535][176126] Loss_D: -0.019522 Loss_G: -0.009545 Loss_D_real: -0.000827 Loss_D_fake 0.018694
[1706/5000][310/535][176127] Loss_D: -0.017846 Loss_G: 0.011338 Loss_D_real: -0.027187 Loss_D_fake -0.009341
[1706/5000][315/535][176128] Loss_D: -0.019227 Loss_G: 0.009338 Loss_D_real: -0.020585 Loss_D_fake -0.001357
[1706/5000][320/535][176129] Loss_D: -0.021408 Loss_G: 0.006227 Loss_D_real: -0.021885 Loss_D_fake -0.000477
[1706/5000][325/535][176130] Loss_D: -0.018880 Loss_G: 0.000614 Loss_D_real: -0.011122 Loss_D_fake 0.007759
[1706/5000][330/535][176131] Loss_D: -0.018840 Loss_G: -0.001944 Loss_D_real: -0.023084 Loss_D_fake -0.004244
[1706/5000][335/535][176132] Loss_D: -0.018169 Loss_G: 0.002084 Loss_D_real: -0.010459 Loss_D_fake 0.007710
[1706/5000][340/535][176133] Loss_D: -0.018342 Loss_G: 0.028555 Loss_D_real: -0.027508 Loss_D_fake -0.009167
[1706/5000][345/535][176134] Loss_D: -0.018218 Loss_G: 0.019078 Loss_D_real: -0.033227 Loss_D_fake -0.015009
[1706/5000][350/535][176135] Loss_D: -0.018812 Loss_G: 0.004517 Loss_D_real: -0.018494 Loss_D_fake 0.000318
[1706/5000][355/535][176136] Loss_D: -0.017874 Loss_G: 0.013163 Loss_D_real: -0.022056 Loss_D_fake -0.004182
[1706/5000][360/535][176137] Loss_D: -0.019337 Loss_G: -0.000116 Loss_D_real: -0.015722 Loss_D_fake 0.003615
[1706/5000][365/535][176138] Loss_D: -0.018362 Loss_G: 0.022666 Loss_D_real: -0.018271 Loss_D_fake 0.000091
[1706/5000][370/535][176139] Loss_D: -0.018574 Loss_G: 0.024079 Loss_D_real: -0.030412 Loss_D_fake -0.011838
[1706/5000][375/535][176140] Loss_D: -0.020061 Loss_G: 0.004094 Loss_D_real: -0.012512 Loss_D_fake 0.007549
[1706/5000][380/535][176141] Loss_D: -0.017578 Loss_G: 0.021580 Loss_D_real: -0.029912 Loss_D_fake -0.012334
[1706/5000][385/535][176142] Loss_D: -0.018833 Loss_G: 0.022145 Loss_D_real: -0.021949 Loss_D_fake -0.003116
[1706/5000][390/535][176143] Loss_D: -0.018089 Loss_G: 0.006680 Loss_D_real: -0.005206 Loss_D_fake 0.012883
[1706/5000][395/535][176144] Loss_D: -0.017674 Loss_G: 0.006854 Loss_D_real: -0.018230 Loss_D_fake -0.000556
[1706/5000][400/535][176145] Loss_D: -0.017418 Loss_G: -0.006995 Loss_D_real: -0.010779 Loss_D_fake 0.006639
[1706/5000][405/535][176146] Loss_D: -0.019105 Loss_G: -0.021132 Loss_D_real: -0.001273 Loss_D_fake 0.017832
[1706/5000][410/535][176147] Loss_D: -0.017645 Loss_G: 0.027372 Loss_D_real: -0.023214 Loss_D_fake -0.005569
[1706/5000][415/535][176148] Loss_D: -0.018257 Loss_G: -0.000829 Loss_D_real: -0.013489 Loss_D_fake 0.004768
[1706/5000][420/535][176149] Loss_D: -0.018127 Loss_G: 0.014048 Loss_D_real: -0.017967 Loss_D_fake 0.000160
[1706/5000][425/535][176150] Loss_D: -0.018395 Loss_G: -0.003614 Loss_D_real: -0.008363 Loss_D_fake 0.010032
[1706/5000][430/535][176151] Loss_D: -0.018277 Loss_G: 0.004119 Loss_D_real: -0.012006 Loss_D_fake 0.006272
[1706/5000][435/535][176152] Loss_D: -0.019677 Loss_G: 0.008821 Loss_D_real: -0.025738 Loss_D_fake -0.006061
[1706/5000][440/535][176153] Loss_D: -0.018956 Loss_G: 0.005070 Loss_D_real: -0.001874 Loss_D_fake 0.017082
[1706/5000][445/535][176154] Loss_D: -0.019794 Loss_G: 0.000854 Loss_D_real: -0.016019 Loss_D_fake 0.003774
[1706/5000][450/535][176155] Loss_D: -0.018698 Loss_G: -0.013917 Loss_D_real: -0.012970 Loss_D_fake 0.005728
[1706/5000][455/535][176156] Loss_D: -0.018926 Loss_G: 0.012674 Loss_D_real: -0.021033 Loss_D_fake -0.002107
[1706/5000][460/535][176157] Loss_D: -0.018993 Loss_G: 0.015131 Loss_D_real: -0.017966 Loss_D_fake 0.001027
[1706/5000][465/535][176158] Loss_D: -0.017837 Loss_G: 0.001153 Loss_D_real: -0.017352 Loss_D_fake 0.000485
[1706/5000][470/535][176159] Loss_D: -0.019197 Loss_G: 0.007416 Loss_D_real: -0.023680 Loss_D_fake -0.004483
[1706/5000][475/535][176160] Loss_D: -0.017730 Loss_G: 0.017086 Loss_D_real: -0.020081 Loss_D_fake -0.002351
[1706/5000][480/535][176161] Loss_D: -0.017437 Loss_G: 0.001863 Loss_D_real: -0.005304 Loss_D_fake 0.012133
[1706/5000][485/535][176162] Loss_D: -0.018392 Loss_G: -0.007465 Loss_D_real: -0.016019 Loss_D_fake 0.002373
[1706/5000][490/535][176163] Loss_D: -0.018458 Loss_G: -0.002512 Loss_D_real: 0.006182 Loss_D_fake 0.024640
[1706/5000][495/535][176164] Loss_D: -0.018911 Loss_G: -0.001556 Loss_D_real: 0.000428 Loss_D_fake 0.019339
[1706/5000][500/535][176165] Loss_D: -0.017690 Loss_G: 0.005596 Loss_D_real: -0.005761 Loss_D_fake 0.011929
[1706/5000][505/535][176166] Loss_D: -0.018807 Loss_G: 0.019053 Loss_D_real: -0.011676 Loss_D_fake 0.007130
[1706/5000][510/535][176167] Loss_D: -0.018398 Loss_G: 0.014395 Loss_D_real: -0.016571 Loss_D_fake 0.001827
[1706/5000][515/535][176168] Loss_D: -0.018385 Loss_G: 0.006330 Loss_D_real: -0.012099 Loss_D_fake 0.006287
[1706/5000][520/535][176169] Loss_D: -0.017269 Loss_G: 0.021105 Loss_D_real: -0.017071 Loss_D_fake 0.000197
[1706/5000][525/535][176170] Loss_D: -0.018001 Loss_G: 0.015910 Loss_D_real: -0.031419 Loss_D_fake -0.013418
[1706/5000][530/535][176171] Loss_D: -0.017657 Loss_G: 0.000998 Loss_D_real: -0.012583 Loss_D_fake 0.005075
[1706/5000][535/535][176172] Loss_D: -0.020790 Loss_G: 0.006006 Loss_D_real: -0.004611 Loss_D_fake 0.016179
[1707/5000][5/535][176173] Loss_D: -0.018094 Loss_G: -0.004021 Loss_D_real: -0.013753 Loss_D_fake 0.004340
[1707/5000][10/535][176174] Loss_D: -0.017936 Loss_G: 0.004579 Loss_D_real: -0.014108 Loss_D_fake 0.003829
[1707/5000][15/535][176175] Loss_D: -0.017509 Loss_G: -0.003507 Loss_D_real: -0.005109 Loss_D_fake 0.012399
[1707/5000][20/535][176176] Loss_D: -0.017558 Loss_G: 0.004033 Loss_D_real: -0.010148 Loss_D_fake 0.007410
[1707/5000][25/535][176177] Loss_D: -0.018268 Loss_G: 0.003511 Loss_D_real: -0.020151 Loss_D_fake -0.001883
[1707/5000][30/535][176178] Loss_D: -0.018550 Loss_G: 0.007724 Loss_D_real: -0.022137 Loss_D_fake -0.003587
[1707/5000][35/535][176179] Loss_D: -0.017752 Loss_G: 0.016650 Loss_D_real: -0.027748 Loss_D_fake -0.009997
[1707/5000][40/535][176180] Loss_D: -0.018403 Loss_G: 0.000318 Loss_D_real: -0.012446 Loss_D_fake 0.005957
[1707/5000][45/535][176181] Loss_D: -0.015168 Loss_G: 0.028237 Loss_D_real: -0.034203 Loss_D_fake -0.019035
[1707/5000][50/535][176182] Loss_D: -0.018116 Loss_G: 0.011338 Loss_D_real: -0.037852 Loss_D_fake -0.019736
[1707/5000][55/535][176183] Loss_D: -0.020596 Loss_G: 0.006068 Loss_D_real: -0.014704 Loss_D_fake 0.005892
[1707/5000][60/535][176184] Loss_D: -0.017982 Loss_G: 0.010915 Loss_D_real: -0.023888 Loss_D_fake -0.005906
[1707/5000][65/535][176185] Loss_D: -0.019294 Loss_G: 0.009242 Loss_D_real: -0.009664 Loss_D_fake 0.009629
[1707/5000][70/535][176186] Loss_D: -0.018514 Loss_G: 0.000805 Loss_D_real: -0.003263 Loss_D_fake 0.015250
[1707/5000][75/535][176187] Loss_D: -0.018879 Loss_G: 0.002529 Loss_D_real: -0.012530 Loss_D_fake 0.006349
[1707/5000][80/535][176188] Loss_D: -0.017797 Loss_G: -0.007086 Loss_D_real: 0.005821 Loss_D_fake 0.023617
[1707/5000][85/535][176189] Loss_D: -0.018264 Loss_G: 0.020949 Loss_D_real: -0.022950 Loss_D_fake -0.004686
[1707/5000][90/535][176190] Loss_D: -0.018982 Loss_G: -0.006911 Loss_D_real: -0.010407 Loss_D_fake 0.008576
[1707/5000][95/535][176191] Loss_D: -0.019368 Loss_G: 0.007056 Loss_D_real: -0.005754 Loss_D_fake 0.013613
[1707/5000][100/535][176192] Loss_D: -0.020128 Loss_G: 0.009590 Loss_D_real: -0.020546 Loss_D_fake -0.000418
[1707/5000][105/535][176193] Loss_D: -0.019800 Loss_G: 0.016487 Loss_D_real: -0.013108 Loss_D_fake 0.006692
[1707/5000][110/535][176194] Loss_D: -0.017406 Loss_G: 0.015636 Loss_D_real: -0.004735 Loss_D_fake 0.012670
[1707/5000][115/535][176195] Loss_D: -0.018857 Loss_G: 0.015242 Loss_D_real: -0.021144 Loss_D_fake -0.002287
[1707/5000][120/535][176196] Loss_D: -0.017554 Loss_G: -0.004212 Loss_D_real: 0.015696 Loss_D_fake 0.033249
[1707/5000][125/535][176197] Loss_D: -0.018577 Loss_G: 0.008227 Loss_D_real: -0.013773 Loss_D_fake 0.004803
[1707/5000][130/535][176198] Loss_D: -0.018028 Loss_G: 0.015553 Loss_D_real: -0.020552 Loss_D_fake -0.002524
[1707/5000][135/535][176199] Loss_D: -0.019856 Loss_G: 0.005385 Loss_D_real: -0.025983 Loss_D_fake -0.006128
[1707/5000][140/535][176200] Loss_D: -0.018941 Loss_G: 0.012486 Loss_D_real: -0.024960 Loss_D_fake -0.006019
[1707/5000][145/535][176201] Loss_D: -0.018673 Loss_G: 0.015540 Loss_D_real: -0.028122 Loss_D_fake -0.009449
[1707/5000][150/535][176202] Loss_D: -0.019163 Loss_G: 0.021744 Loss_D_real: -0.026701 Loss_D_fake -0.007538
[1707/5000][155/535][176203] Loss_D: -0.017238 Loss_G: 0.019773 Loss_D_real: -0.028547 Loss_D_fake -0.011308
[1707/5000][160/535][176204] Loss_D: -0.020071 Loss_G: 0.008775 Loss_D_real: -0.014546 Loss_D_fake 0.005525
[1707/5000][165/535][176205] Loss_D: -0.019037 Loss_G: 0.003482 Loss_D_real: -0.007193 Loss_D_fake 0.011844
[1707/5000][170/535][176206] Loss_D: -0.017316 Loss_G: 0.018382 Loss_D_real: -0.033818 Loss_D_fake -0.016502
[1707/5000][175/535][176207] Loss_D: -0.017561 Loss_G: 0.006693 Loss_D_real: -0.003720 Loss_D_fake 0.013841
[1707/5000][180/535][176208] Loss_D: -0.017527 Loss_G: -0.012221 Loss_D_real: -0.015783 Loss_D_fake 0.001744
[1707/5000][185/535][176209] Loss_D: -0.018438 Loss_G: 0.021996 Loss_D_real: -0.025349 Loss_D_fake -0.006911
[1707/5000][190/535][176210] Loss_D: -0.018195 Loss_G: 0.006286 Loss_D_real: -0.018754 Loss_D_fake -0.000559
[1707/5000][195/535][176211] Loss_D: -0.019454 Loss_G: 0.019799 Loss_D_real: -0.019561 Loss_D_fake -0.000107
[1707/5000][200/535][176212] Loss_D: -0.017463 Loss_G: -0.001538 Loss_D_real: -0.004566 Loss_D_fake 0.012897
[1707/5000][205/535][176213] Loss_D: -0.018823 Loss_G: 0.011917 Loss_D_real: -0.027061 Loss_D_fake -0.008238
[1707/5000][210/535][176214] Loss_D: -0.018770 Loss_G: 0.013014 Loss_D_real: -0.014813 Loss_D_fake 0.003957
[1707/5000][215/535][176215] Loss_D: -0.018190 Loss_G: -0.009806 Loss_D_real: -0.004119 Loss_D_fake 0.014071
[1707/5000][220/535][176216] Loss_D: -0.018994 Loss_G: 0.014397 Loss_D_real: -0.018097 Loss_D_fake 0.000897
[1707/5000][225/535][176217] Loss_D: -0.019287 Loss_G: 0.023318 Loss_D_real: -0.016580 Loss_D_fake 0.002707
[1707/5000][230/535][176218] Loss_D: -0.018669 Loss_G: 0.001355 Loss_D_real: -0.009143 Loss_D_fake 0.009526
[1707/5000][235/535][176219] Loss_D: -0.018536 Loss_G: 0.021816 Loss_D_real: -0.034310 Loss_D_fake -0.015774
[1707/5000][240/535][176220] Loss_D: -0.016958 Loss_G: 0.030236 Loss_D_real: -0.018905 Loss_D_fake -0.001947
[1707/5000][245/535][176221] Loss_D: -0.018812 Loss_G: 0.004124 Loss_D_real: -0.006976 Loss_D_fake 0.011836
[1707/5000][250/535][176222] Loss_D: -0.018915 Loss_G: 0.003826 Loss_D_real: -0.000332 Loss_D_fake 0.018584
[1707/5000][255/535][176223] Loss_D: -0.018857 Loss_G: -0.000924 Loss_D_real: -0.014768 Loss_D_fake 0.004089
[1707/5000][260/535][176224] Loss_D: -0.018215 Loss_G: -0.004764 Loss_D_real: -0.011221 Loss_D_fake 0.006994
[1707/5000][265/535][176225] Loss_D: -0.019239 Loss_G: 0.008035 Loss_D_real: -0.021305 Loss_D_fake -0.002066
[1707/5000][270/535][176226] Loss_D: -0.017951 Loss_G: 0.028974 Loss_D_real: -0.028349 Loss_D_fake -0.010398
[1707/5000][275/535][176227] Loss_D: -0.018269 Loss_G: 0.006094 Loss_D_real: -0.017849 Loss_D_fake 0.000420
[1707/5000][280/535][176228] Loss_D: -0.019143 Loss_G: 0.013624 Loss_D_real: -0.016219 Loss_D_fake 0.002924
[1707/5000][285/535][176229] Loss_D: -0.018130 Loss_G: 0.005801 Loss_D_real: -0.014383 Loss_D_fake 0.003747
[1707/5000][290/535][176230] Loss_D: -0.019111 Loss_G: -0.012518 Loss_D_real: -0.014668 Loss_D_fake 0.004443
[1707/5000][295/535][176231] Loss_D: -0.018783 Loss_G: 0.013799 Loss_D_real: -0.021588 Loss_D_fake -0.002806
[1707/5000][300/535][176232] Loss_D: -0.018760 Loss_G: -0.020275 Loss_D_real: 0.000263 Loss_D_fake 0.019023
[1707/5000][305/535][176233] Loss_D: -0.018073 Loss_G: 0.023776 Loss_D_real: -0.015885 Loss_D_fake 0.002188
[1707/5000][310/535][176234] Loss_D: -0.017322 Loss_G: 0.016237 Loss_D_real: -0.027807 Loss_D_fake -0.010485
[1707/5000][315/535][176235] Loss_D: -0.019043 Loss_G: 0.023122 Loss_D_real: -0.012026 Loss_D_fake 0.007017
[1707/5000][320/535][176236] Loss_D: -0.018007 Loss_G: 0.007018 Loss_D_real: -0.011399 Loss_D_fake 0.006608
[1707/5000][325/535][176237] Loss_D: -0.018753 Loss_G: 0.012818 Loss_D_real: -0.021713 Loss_D_fake -0.002960
[1707/5000][330/535][176238] Loss_D: -0.018219 Loss_G: 0.008691 Loss_D_real: -0.023199 Loss_D_fake -0.004980
[1707/5000][335/535][176239] Loss_D: -0.018153 Loss_G: -0.002241 Loss_D_real: -0.006980 Loss_D_fake 0.011173
[1707/5000][340/535][176240] Loss_D: -0.016739 Loss_G: 0.018651 Loss_D_real: -0.031945 Loss_D_fake -0.015206
[1707/5000][345/535][176241] Loss_D: -0.018614 Loss_G: 0.012559 Loss_D_real: -0.018113 Loss_D_fake 0.000501
[1707/5000][350/535][176242] Loss_D: -0.018712 Loss_G: 0.000508 Loss_D_real: -0.016343 Loss_D_fake 0.002369
[1707/5000][355/535][176243] Loss_D: -0.019433 Loss_G: -0.017590 Loss_D_real: -0.009274 Loss_D_fake 0.010159
[1707/5000][360/535][176244] Loss_D: -0.019142 Loss_G: 0.018470 Loss_D_real: -0.013355 Loss_D_fake 0.005788
[1707/5000][365/535][176245] Loss_D: -0.018503 Loss_G: 0.003619 Loss_D_real: -0.021568 Loss_D_fake -0.003065
[1707/5000][370/535][176246] Loss_D: -0.018602 Loss_G: 0.015581 Loss_D_real: -0.004980 Loss_D_fake 0.013622
[1707/5000][375/535][176247] Loss_D: -0.019425 Loss_G: 0.008936 Loss_D_real: -0.007945 Loss_D_fake 0.011480
[1707/5000][380/535][176248] Loss_D: -0.017897 Loss_G: 0.026282 Loss_D_real: -0.032371 Loss_D_fake -0.014474
[1707/5000][385/535][176249] Loss_D: -0.018258 Loss_G: -0.003771 Loss_D_real: -0.013406 Loss_D_fake 0.004852
[1707/5000][390/535][176250] Loss_D: -0.018157 Loss_G: 0.017230 Loss_D_real: -0.017160 Loss_D_fake 0.000997
[1707/5000][395/535][176251] Loss_D: -0.018228 Loss_G: 0.007170 Loss_D_real: -0.029148 Loss_D_fake -0.010920
[1707/5000][400/535][176252] Loss_D: -0.018794 Loss_G: 0.016170 Loss_D_real: -0.011570 Loss_D_fake 0.007225
[1707/5000][405/535][176253] Loss_D: -0.018264 Loss_G: -0.008321 Loss_D_real: -0.008757 Loss_D_fake 0.009507
[1707/5000][410/535][176254] Loss_D: -0.018425 Loss_G: 0.007936 Loss_D_real: -0.015857 Loss_D_fake 0.002568
[1707/5000][415/535][176255] Loss_D: -0.018061 Loss_G: -0.005187 Loss_D_real: -0.011947 Loss_D_fake 0.006113
[1707/5000][420/535][176256] Loss_D: -0.018036 Loss_G: 0.016501 Loss_D_real: -0.020866 Loss_D_fake -0.002830
[1707/5000][425/535][176257] Loss_D: -0.020115 Loss_G: 0.016053 Loss_D_real: -0.015693 Loss_D_fake 0.004422
[1707/5000][430/535][176258] Loss_D: -0.019458 Loss_G: 0.014302 Loss_D_real: -0.019404 Loss_D_fake 0.000054
[1707/5000][435/535][176259] Loss_D: -0.017923 Loss_G: 0.010088 Loss_D_real: -0.019816 Loss_D_fake -0.001893
[1707/5000][440/535][176260] Loss_D: -0.017528 Loss_G: 0.019455 Loss_D_real: -0.034414 Loss_D_fake -0.016886
[1707/5000][445/535][176261] Loss_D: -0.018511 Loss_G: 0.008328 Loss_D_real: -0.013537 Loss_D_fake 0.004974
[1707/5000][450/535][176262] Loss_D: -0.018330 Loss_G: -0.010466 Loss_D_real: -0.008500 Loss_D_fake 0.009831
[1707/5000][455/535][176263] Loss_D: -0.019197 Loss_G: -0.003640 Loss_D_real: -0.020554 Loss_D_fake -0.001357
[1707/5000][460/535][176264] Loss_D: -0.017815 Loss_G: 0.014777 Loss_D_real: -0.020950 Loss_D_fake -0.003135
[1707/5000][465/535][176265] Loss_D: -0.018869 Loss_G: 0.024719 Loss_D_real: -0.019566 Loss_D_fake -0.000696
[1707/5000][470/535][176266] Loss_D: -0.018663 Loss_G: 0.012102 Loss_D_real: -0.019714 Loss_D_fake -0.001051
[1707/5000][475/535][176267] Loss_D: -0.018551 Loss_G: 0.021024 Loss_D_real: -0.024318 Loss_D_fake -0.005767
[1707/5000][480/535][176268] Loss_D: -0.019885 Loss_G: 0.011919 Loss_D_real: -0.023163 Loss_D_fake -0.003277
[1707/5000][485/535][176269] Loss_D: -0.017542 Loss_G: -0.000236 Loss_D_real: -0.007461 Loss_D_fake 0.010081
[1707/5000][490/535][176270] Loss_D: -0.018165 Loss_G: -0.001973 Loss_D_real: -0.020284 Loss_D_fake -0.002119
[1707/5000][495/535][176271] Loss_D: -0.019480 Loss_G: -0.004077 Loss_D_real: -0.003686 Loss_D_fake 0.015793
[1707/5000][500/535][176272] Loss_D: -0.019572 Loss_G: -0.008971 Loss_D_real: -0.011425 Loss_D_fake 0.008147
[1707/5000][505/535][176273] Loss_D: -0.017863 Loss_G: 0.002471 Loss_D_real: -0.015194 Loss_D_fake 0.002669
[1707/5000][510/535][176274] Loss_D: -0.018557 Loss_G: 0.016437 Loss_D_real: -0.014166 Loss_D_fake 0.004391
[1707/5000][515/535][176275] Loss_D: -0.019004 Loss_G: 0.015827 Loss_D_real: -0.020906 Loss_D_fake -0.001901
[1707/5000][520/535][176276] Loss_D: -0.017700 Loss_G: -0.009529 Loss_D_real: 0.004813 Loss_D_fake 0.022513
[1707/5000][525/535][176277] Loss_D: -0.017918 Loss_G: 0.012574 Loss_D_real: -0.021942 Loss_D_fake -0.004024
[1707/5000][530/535][176278] Loss_D: -0.017969 Loss_G: 0.016417 Loss_D_real: -0.014498 Loss_D_fake 0.003471
[1707/5000][535/535][176279] Loss_D: -0.020042 Loss_G: 0.017829 Loss_D_real: -0.028346 Loss_D_fake -0.008304
[1708/5000][5/535][176280] Loss_D: -0.020172 Loss_G: 0.012221 Loss_D_real: -0.020458 Loss_D_fake -0.000286
[1708/5000][10/535][176281] Loss_D: -0.018334 Loss_G: 0.022218 Loss_D_real: -0.020578 Loss_D_fake -0.002244
[1708/5000][15/535][176282] Loss_D: -0.020112 Loss_G: 0.005167 Loss_D_real: -0.012840 Loss_D_fake 0.007272
[1708/5000][20/535][176283] Loss_D: -0.019258 Loss_G: 0.016858 Loss_D_real: -0.006818 Loss_D_fake 0.012440
[1708/5000][25/535][176284] Loss_D: -0.018436 Loss_G: 0.002801 Loss_D_real: -0.012184 Loss_D_fake 0.006252
[1708/5000][30/535][176285] Loss_D: -0.018934 Loss_G: 0.014437 Loss_D_real: -0.029173 Loss_D_fake -0.010239
[1708/5000][35/535][176286] Loss_D: -0.019052 Loss_G: 0.004041 Loss_D_real: -0.023396 Loss_D_fake -0.004344
[1708/5000][40/535][176287] Loss_D: -0.017927 Loss_G: 0.020137 Loss_D_real: -0.019950 Loss_D_fake -0.002023
[1708/5000][45/535][176288] Loss_D: -0.018175 Loss_G: -0.000583 Loss_D_real: -0.015902 Loss_D_fake 0.002273
[1708/5000][50/535][176289] Loss_D: -0.018810 Loss_G: -0.014508 Loss_D_real: 0.003701 Loss_D_fake 0.022512
[1708/5000][55/535][176290] Loss_D: -0.018727 Loss_G: 0.009219 Loss_D_real: -0.018279 Loss_D_fake 0.000448
[1708/5000][60/535][176291] Loss_D: -0.017975 Loss_G: 0.009719 Loss_D_real: -0.014901 Loss_D_fake 0.003074
[1708/5000][65/535][176292] Loss_D: -0.018101 Loss_G: -0.014874 Loss_D_real: -0.002098 Loss_D_fake 0.016003
[1708/5000][70/535][176293] Loss_D: -0.018898 Loss_G: 0.001682 Loss_D_real: -0.001123 Loss_D_fake 0.017775
[1708/5000][75/535][176294] Loss_D: -0.018084 Loss_G: 0.021660 Loss_D_real: -0.027646 Loss_D_fake -0.009562
[1708/5000][80/535][176295] Loss_D: -0.019652 Loss_G: 0.000570 Loss_D_real: 0.000877 Loss_D_fake 0.020528
[1708/5000][85/535][176296] Loss_D: -0.019306 Loss_G: 0.019996 Loss_D_real: -0.023616 Loss_D_fake -0.004311
[1708/5000][90/535][176297] Loss_D: -0.018951 Loss_G: -0.005619 Loss_D_real: -0.017281 Loss_D_fake 0.001670
[1708/5000][95/535][176298] Loss_D: -0.018797 Loss_G: 0.016602 Loss_D_real: -0.017983 Loss_D_fake 0.000813
[1708/5000][100/535][176299] Loss_D: -0.017619 Loss_G: 0.026994 Loss_D_real: -0.025998 Loss_D_fake -0.008379
[1708/5000][105/535][176300] Loss_D: -0.018823 Loss_G: -0.016613 Loss_D_real: -0.005488 Loss_D_fake 0.013335
[1708/5000][110/535][176301] Loss_D: -0.018490 Loss_G: 0.011699 Loss_D_real: -0.017938 Loss_D_fake 0.000552
[1708/5000][115/535][176302] Loss_D: -0.017529 Loss_G: 0.002368 Loss_D_real: -0.018453 Loss_D_fake -0.000925
[1708/5000][120/535][176303] Loss_D: -0.018659 Loss_G: 0.015257 Loss_D_real: -0.014885 Loss_D_fake 0.003775
[1708/5000][125/535][176304] Loss_D: -0.018335 Loss_G: 0.007663 Loss_D_real: -0.004344 Loss_D_fake 0.013991
[1708/5000][130/535][176305] Loss_D: -0.018585 Loss_G: 0.003795 Loss_D_real: -0.018379 Loss_D_fake 0.000207
[1708/5000][135/535][176306] Loss_D: -0.018348 Loss_G: -0.003319 Loss_D_real: -0.007258 Loss_D_fake 0.011090
[1708/5000][140/535][176307] Loss_D: -0.019506 Loss_G: 0.018727 Loss_D_real: -0.023839 Loss_D_fake -0.004334
[1708/5000][145/535][176308] Loss_D: -0.018844 Loss_G: -0.012851 Loss_D_real: -0.011223 Loss_D_fake 0.007621
[1708/5000][150/535][176309] Loss_D: -0.018521 Loss_G: 0.016783 Loss_D_real: -0.023434 Loss_D_fake -0.004913
[1708/5000][155/535][176310] Loss_D: -0.019058 Loss_G: 0.011989 Loss_D_real: -0.015807 Loss_D_fake 0.003252
[1708/5000][160/535][176311] Loss_D: -0.016366 Loss_G: -0.008816 Loss_D_real: 0.006788 Loss_D_fake 0.023154
[1708/5000][165/535][176312] Loss_D: -0.018575 Loss_G: 0.002524 Loss_D_real: -0.002693 Loss_D_fake 0.015882
[1708/5000][170/535][176313] Loss_D: -0.017810 Loss_G: 0.006593 Loss_D_real: -0.013074 Loss_D_fake 0.004736
[1708/5000][175/535][176314] Loss_D: -0.016425 Loss_G: 0.025371 Loss_D_real: -0.026343 Loss_D_fake -0.009919
[1708/5000][180/535][176315] Loss_D: -0.019232 Loss_G: -0.007838 Loss_D_real: 0.001446 Loss_D_fake 0.020678
[1708/5000][185/535][176316] Loss_D: -0.017756 Loss_G: 0.006642 Loss_D_real: -0.017808 Loss_D_fake -0.000052
[1708/5000][190/535][176317] Loss_D: -0.019875 Loss_G: -0.007009 Loss_D_real: -0.012138 Loss_D_fake 0.007737
[1708/5000][195/535][176318] Loss_D: -0.018011 Loss_G: 0.013359 Loss_D_real: -0.023407 Loss_D_fake -0.005395
[1708/5000][200/535][176319] Loss_D: -0.019225 Loss_G: 0.003423 Loss_D_real: -0.006876 Loss_D_fake 0.012349
[1708/5000][205/535][176320] Loss_D: -0.016763 Loss_G: 0.029002 Loss_D_real: -0.032249 Loss_D_fake -0.015486
[1708/5000][210/535][176321] Loss_D: -0.018081 Loss_G: 0.002680 Loss_D_real: -0.013088 Loss_D_fake 0.004993
[1708/5000][215/535][176322] Loss_D: -0.017819 Loss_G: 0.012873 Loss_D_real: -0.014656 Loss_D_fake 0.003164
[1708/5000][220/535][176323] Loss_D: -0.018574 Loss_G: 0.007254 Loss_D_real: -0.020465 Loss_D_fake -0.001891
[1708/5000][225/535][176324] Loss_D: -0.018702 Loss_G: -0.006047 Loss_D_real: -0.003152 Loss_D_fake 0.015551
[1708/5000][230/535][176325] Loss_D: -0.018763 Loss_G: 0.011689 Loss_D_real: -0.023949 Loss_D_fake -0.005187
[1708/5000][235/535][176326] Loss_D: -0.019168 Loss_G: -0.006576 Loss_D_real: -0.007201 Loss_D_fake 0.011967
[1708/5000][240/535][176327] Loss_D: -0.018510 Loss_G: 0.014949 Loss_D_real: -0.026633 Loss_D_fake -0.008123
[1708/5000][245/535][176328] Loss_D: -0.018049 Loss_G: 0.027140 Loss_D_real: -0.025563 Loss_D_fake -0.007513
[1708/5000][250/535][176329] Loss_D: -0.018950 Loss_G: 0.003911 Loss_D_real: -0.013187 Loss_D_fake 0.005764
[1708/5000][255/535][176330] Loss_D: -0.018343 Loss_G: 0.008715 Loss_D_real: -0.001035 Loss_D_fake 0.017309
[1708/5000][260/535][176331] Loss_D: -0.018782 Loss_G: -0.000462 Loss_D_real: -0.011495 Loss_D_fake 0.007287
[1708/5000][265/535][176332] Loss_D: -0.019175 Loss_G: -0.004197 Loss_D_real: -0.009931 Loss_D_fake 0.009244
[1708/5000][270/535][176333] Loss_D: -0.019241 Loss_G: -0.000109 Loss_D_real: -0.001755 Loss_D_fake 0.017487
[1708/5000][275/535][176334] Loss_D: -0.018652 Loss_G: -0.001014 Loss_D_real: -0.010630 Loss_D_fake 0.008023
[1708/5000][280/535][176335] Loss_D: -0.018189 Loss_G: 0.002327 Loss_D_real: -0.007439 Loss_D_fake 0.010750
[1708/5000][285/535][176336] Loss_D: -0.019964 Loss_G: 0.009684 Loss_D_real: -0.010695 Loss_D_fake 0.009269
[1708/5000][290/535][176337] Loss_D: -0.016885 Loss_G: 0.010856 Loss_D_real: -0.006705 Loss_D_fake 0.010180
[1708/5000][295/535][176338] Loss_D: -0.019592 Loss_G: 0.005455 Loss_D_real: -0.026505 Loss_D_fake -0.006913
[1708/5000][300/535][176339] Loss_D: -0.018259 Loss_G: -0.006966 Loss_D_real: -0.010388 Loss_D_fake 0.007871
[1708/5000][305/535][176340] Loss_D: -0.018721 Loss_G: 0.011072 Loss_D_real: -0.018800 Loss_D_fake -0.000080
[1708/5000][310/535][176341] Loss_D: -0.018817 Loss_G: 0.002473 Loss_D_real: -0.018038 Loss_D_fake 0.000778
[1708/5000][315/535][176342] Loss_D: -0.018719 Loss_G: 0.015656 Loss_D_real: -0.008684 Loss_D_fake 0.010035
[1708/5000][320/535][176343] Loss_D: -0.019695 Loss_G: 0.011443 Loss_D_real: -0.011371 Loss_D_fake 0.008324
[1708/5000][325/535][176344] Loss_D: -0.019448 Loss_G: 0.019585 Loss_D_real: -0.020497 Loss_D_fake -0.001049
[1708/5000][330/535][176345] Loss_D: -0.018548 Loss_G: 0.011322 Loss_D_real: -0.024313 Loss_D_fake -0.005766
[1708/5000][335/535][176346] Loss_D: -0.018364 Loss_G: 0.019508 Loss_D_real: -0.030405 Loss_D_fake -0.012041
[1708/5000][340/535][176347] Loss_D: -0.019462 Loss_G: 0.006054 Loss_D_real: -0.010003 Loss_D_fake 0.009459
[1708/5000][345/535][176348] Loss_D: -0.017821 Loss_G: -0.012805 Loss_D_real: -0.010759 Loss_D_fake 0.007063
[1708/5000][350/535][176349] Loss_D: -0.018874 Loss_G: 0.007914 Loss_D_real: -0.032199 Loss_D_fake -0.013326
[1708/5000][355/535][176350] Loss_D: -0.018578 Loss_G: 0.009859 Loss_D_real: -0.023449 Loss_D_fake -0.004872
[1708/5000][360/535][176351] Loss_D: -0.018187 Loss_G: 0.008772 Loss_D_real: -0.014337 Loss_D_fake 0.003849
[1708/5000][365/535][176352] Loss_D: -0.018740 Loss_G: 0.000005 Loss_D_real: -0.010687 Loss_D_fake 0.008053
[1708/5000][370/535][176353] Loss_D: -0.018382 Loss_G: 0.008354 Loss_D_real: -0.017282 Loss_D_fake 0.001100
[1708/5000][375/535][176354] Loss_D: -0.018461 Loss_G: 0.012050 Loss_D_real: -0.013257 Loss_D_fake 0.005204
[1708/5000][380/535][176355] Loss_D: -0.019226 Loss_G: 0.010305 Loss_D_real: -0.023313 Loss_D_fake -0.004087
[1708/5000][385/535][176356] Loss_D: -0.018211 Loss_G: -0.015492 Loss_D_real: -0.006168 Loss_D_fake 0.012043
[1708/5000][390/535][176357] Loss_D: -0.016116 Loss_G: 0.020233 Loss_D_real: -0.027107 Loss_D_fake -0.010991
[1708/5000][395/535][176358] Loss_D: -0.018218 Loss_G: -0.021487 Loss_D_real: -0.010138 Loss_D_fake 0.008080
[1708/5000][400/535][176359] Loss_D: -0.017651 Loss_G: -0.005264 Loss_D_real: -0.004324 Loss_D_fake 0.013328
[1708/5000][405/535][176360] Loss_D: -0.017477 Loss_G: -0.010409 Loss_D_real: 0.006153 Loss_D_fake 0.023630
[1708/5000][410/535][176361] Loss_D: -0.018224 Loss_G: -0.005120 Loss_D_real: -0.003574 Loss_D_fake 0.014650
[1708/5000][415/535][176362] Loss_D: -0.018138 Loss_G: 0.035625 Loss_D_real: -0.026180 Loss_D_fake -0.008042
[1708/5000][420/535][176363] Loss_D: -0.018596 Loss_G: 0.024353 Loss_D_real: -0.025459 Loss_D_fake -0.006863
[1708/5000][425/535][176364] Loss_D: -0.018183 Loss_G: 0.023570 Loss_D_real: -0.036711 Loss_D_fake -0.018527
[1708/5000][430/535][176365] Loss_D: -0.018458 Loss_G: 0.001510 Loss_D_real: 0.007996 Loss_D_fake 0.026455
[1708/5000][435/535][176366] Loss_D: -0.018978 Loss_G: 0.005956 Loss_D_real: -0.008126 Loss_D_fake 0.010852
[1708/5000][440/535][176367] Loss_D: -0.018214 Loss_G: 0.004481 Loss_D_real: -0.016175 Loss_D_fake 0.002039
[1708/5000][445/535][176368] Loss_D: -0.019425 Loss_G: 0.016741 Loss_D_real: -0.025189 Loss_D_fake -0.005764
[1708/5000][450/535][176369] Loss_D: -0.019093 Loss_G: -0.004962 Loss_D_real: -0.015262 Loss_D_fake 0.003831
[1708/5000][455/535][176370] Loss_D: -0.018026 Loss_G: 0.014405 Loss_D_real: -0.016912 Loss_D_fake 0.001114
[1708/5000][460/535][176371] Loss_D: -0.018980 Loss_G: 0.014487 Loss_D_real: -0.015516 Loss_D_fake 0.003464
[1708/5000][465/535][176372] Loss_D: -0.018199 Loss_G: 0.006304 Loss_D_real: -0.008415 Loss_D_fake 0.009784
[1708/5000][470/535][176373] Loss_D: -0.017709 Loss_G: -0.016566 Loss_D_real: -0.000075 Loss_D_fake 0.017634
[1708/5000][475/535][176374] Loss_D: -0.019324 Loss_G: -0.006212 Loss_D_real: -0.013901 Loss_D_fake 0.005423
[1708/5000][480/535][176375] Loss_D: -0.017955 Loss_G: 0.012400 Loss_D_real: -0.027449 Loss_D_fake -0.009494
[1708/5000][485/535][176376] Loss_D: -0.018804 Loss_G: 0.004104 Loss_D_real: -0.005121 Loss_D_fake 0.013683
[1708/5000][490/535][176377] Loss_D: -0.018517 Loss_G: 0.022598 Loss_D_real: -0.024026 Loss_D_fake -0.005509
[1708/5000][495/535][176378] Loss_D: -0.018774 Loss_G: -0.000731 Loss_D_real: -0.011203 Loss_D_fake 0.007572
[1708/5000][500/535][176379] Loss_D: -0.018558 Loss_G: 0.027917 Loss_D_real: -0.029339 Loss_D_fake -0.010781
[1708/5000][505/535][176380] Loss_D: -0.018891 Loss_G: 0.024128 Loss_D_real: -0.013141 Loss_D_fake 0.005750
[1708/5000][510/535][176381] Loss_D: -0.018924 Loss_G: 0.022208 Loss_D_real: -0.018306 Loss_D_fake 0.000618
[1708/5000][515/535][176382] Loss_D: -0.016805 Loss_G: -0.001184 Loss_D_real: -0.017044 Loss_D_fake -0.000239
[1708/5000][520/535][176383] Loss_D: -0.018135 Loss_G: -0.018932 Loss_D_real: 0.003151 Loss_D_fake 0.021286
[1708/5000][525/535][176384] Loss_D: -0.019261 Loss_G: 0.021030 Loss_D_real: -0.018530 Loss_D_fake 0.000731
[1708/5000][530/535][176385] Loss_D: -0.019735 Loss_G: -0.006646 Loss_D_real: -0.020109 Loss_D_fake -0.000374
[1708/5000][535/535][176386] Loss_D: -0.019651 Loss_G: 0.016043 Loss_D_real: -0.014222 Loss_D_fake 0.005429
[1709/5000][5/535][176387] Loss_D: -0.019926 Loss_G: -0.009363 Loss_D_real: -0.007761 Loss_D_fake 0.012166
[1709/5000][10/535][176388] Loss_D: -0.017770 Loss_G: 0.021227 Loss_D_real: -0.028732 Loss_D_fake -0.010962
[1709/5000][15/535][176389] Loss_D: -0.019136 Loss_G: 0.004250 Loss_D_real: -0.018495 Loss_D_fake 0.000640
[1709/5000][20/535][176390] Loss_D: -0.018924 Loss_G: 0.008252 Loss_D_real: -0.014590 Loss_D_fake 0.004334
[1709/5000][25/535][176391] Loss_D: -0.019333 Loss_G: -0.013089 Loss_D_real: -0.003864 Loss_D_fake 0.015469
[1709/5000][30/535][176392] Loss_D: -0.018495 Loss_G: 0.018532 Loss_D_real: -0.010935 Loss_D_fake 0.007560
[1709/5000][35/535][176393] Loss_D: -0.017881 Loss_G: -0.002057 Loss_D_real: -0.005136 Loss_D_fake 0.012745
[1709/5000][40/535][176394] Loss_D: -0.017570 Loss_G: 0.018482 Loss_D_real: -0.019249 Loss_D_fake -0.001679
[1709/5000][45/535][176395] Loss_D: -0.018684 Loss_G: 0.004392 Loss_D_real: -0.002928 Loss_D_fake 0.015756
[1709/5000][50/535][176396] Loss_D: -0.019067 Loss_G: 0.002160 Loss_D_real: -0.019411 Loss_D_fake -0.000343
[1709/5000][55/535][176397] Loss_D: -0.018261 Loss_G: 0.034175 Loss_D_real: -0.020916 Loss_D_fake -0.002655
[1709/5000][60/535][176398] Loss_D: -0.018410 Loss_G: 0.012145 Loss_D_real: -0.023857 Loss_D_fake -0.005447
[1709/5000][65/535][176399] Loss_D: -0.018397 Loss_G: 0.012606 Loss_D_real: -0.012388 Loss_D_fake 0.006010
[1709/5000][70/535][176400] Loss_D: -0.017284 Loss_G: -0.016742 Loss_D_real: -0.002594 Loss_D_fake 0.014690
[1709/5000][75/535][176401] Loss_D: -0.018839 Loss_G: 0.018718 Loss_D_real: -0.009899 Loss_D_fake 0.008939
[1709/5000][80/535][176402] Loss_D: -0.017871 Loss_G: 0.009231 Loss_D_real: -0.019555 Loss_D_fake -0.001684
[1709/5000][85/535][176403] Loss_D: -0.019269 Loss_G: 0.011198 Loss_D_real: -0.023302 Loss_D_fake -0.004033
[1709/5000][90/535][176404] Loss_D: -0.017561 Loss_G: -0.003203 Loss_D_real: 0.001905 Loss_D_fake 0.019466
[1709/5000][95/535][176405] Loss_D: -0.017776 Loss_G: 0.021164 Loss_D_real: -0.023359 Loss_D_fake -0.005583
[1709/5000][100/535][176406] Loss_D: -0.018716 Loss_G: 0.002676 Loss_D_real: -0.006319 Loss_D_fake 0.012396
[1709/5000][105/535][176407] Loss_D: -0.018326 Loss_G: 0.014789 Loss_D_real: -0.022403 Loss_D_fake -0.004077
[1709/5000][110/535][176408] Loss_D: -0.019780 Loss_G: 0.027301 Loss_D_real: -0.028902 Loss_D_fake -0.009122
[1709/5000][115/535][176409] Loss_D: -0.018586 Loss_G: 0.013443 Loss_D_real: -0.014915 Loss_D_fake 0.003672
[1709/5000][120/535][176410] Loss_D: -0.017934 Loss_G: 0.003529 Loss_D_real: -0.004753 Loss_D_fake 0.013180
[1709/5000][125/535][176411] Loss_D: -0.017605 Loss_G: -0.017482 Loss_D_real: -0.005361 Loss_D_fake 0.012243
[1709/5000][130/535][176412] Loss_D: -0.019659 Loss_G: 0.007628 Loss_D_real: -0.015542 Loss_D_fake 0.004117
[1709/5000][135/535][176413] Loss_D: -0.017530 Loss_G: 0.013613 Loss_D_real: -0.018855 Loss_D_fake -0.001325
[1709/5000][140/535][176414] Loss_D: -0.019451 Loss_G: 0.005985 Loss_D_real: -0.012211 Loss_D_fake 0.007240
[1709/5000][145/535][176415] Loss_D: -0.020291 Loss_G: 0.016394 Loss_D_real: -0.023076 Loss_D_fake -0.002785
[1709/5000][150/535][176416] Loss_D: -0.019900 Loss_G: 0.020119 Loss_D_real: -0.001131 Loss_D_fake 0.018769
[1709/5000][155/535][176417] Loss_D: -0.019282 Loss_G: -0.003109 Loss_D_real: -0.004350 Loss_D_fake 0.014932
[1709/5000][160/535][176418] Loss_D: -0.019057 Loss_G: 0.013452 Loss_D_real: -0.023153 Loss_D_fake -0.004096
[1709/5000][165/535][176419] Loss_D: -0.018741 Loss_G: 0.019463 Loss_D_real: -0.011490 Loss_D_fake 0.007251
[1709/5000][170/535][176420] Loss_D: -0.020411 Loss_G: 0.001690 Loss_D_real: -0.021101 Loss_D_fake -0.000690
[1709/5000][175/535][176421] Loss_D: -0.019313 Loss_G: -0.012308 Loss_D_real: -0.004232 Loss_D_fake 0.015080
[1709/5000][180/535][176422] Loss_D: -0.018702 Loss_G: -0.006241 Loss_D_real: -0.013504 Loss_D_fake 0.005198
[1709/5000][185/535][176423] Loss_D: -0.017465 Loss_G: 0.013965 Loss_D_real: -0.019766 Loss_D_fake -0.002301
[1709/5000][190/535][176424] Loss_D: -0.017670 Loss_G: 0.003032 Loss_D_real: -0.008388 Loss_D_fake 0.009282
[1709/5000][195/535][176425] Loss_D: -0.018917 Loss_G: 0.005181 Loss_D_real: -0.018114 Loss_D_fake 0.000803
[1709/5000][200/535][176426] Loss_D: -0.019847 Loss_G: -0.012023 Loss_D_real: -0.019014 Loss_D_fake 0.000833
[1709/5000][205/535][176427] Loss_D: -0.017805 Loss_G: 0.026454 Loss_D_real: -0.023624 Loss_D_fake -0.005819
[1709/5000][210/535][176428] Loss_D: -0.018249 Loss_G: -0.011007 Loss_D_real: -0.006269 Loss_D_fake 0.011980
[1709/5000][215/535][176429] Loss_D: -0.019227 Loss_G: 0.005420 Loss_D_real: -0.018499 Loss_D_fake 0.000728
[1709/5000][220/535][176430] Loss_D: -0.019822 Loss_G: -0.011720 Loss_D_real: -0.014470 Loss_D_fake 0.005352
[1709/5000][225/535][176431] Loss_D: -0.019535 Loss_G: 0.013570 Loss_D_real: -0.035827 Loss_D_fake -0.016292
[1709/5000][230/535][176432] Loss_D: -0.018816 Loss_G: 0.012120 Loss_D_real: -0.018641 Loss_D_fake 0.000175
[1709/5000][235/535][176433] Loss_D: -0.018462 Loss_G: -0.014809 Loss_D_real: -0.000920 Loss_D_fake 0.017543
[1709/5000][240/535][176434] Loss_D: -0.019518 Loss_G: 0.001953 Loss_D_real: -0.015028 Loss_D_fake 0.004491
[1709/5000][245/535][176435] Loss_D: -0.020118 Loss_G: 0.009365 Loss_D_real: -0.015190 Loss_D_fake 0.004928
[1709/5000][250/535][176436] Loss_D: -0.019619 Loss_G: 0.002348 Loss_D_real: -0.014890 Loss_D_fake 0.004730
[1709/5000][255/535][176437] Loss_D: -0.019437 Loss_G: 0.007104 Loss_D_real: -0.024057 Loss_D_fake -0.004620
[1709/5000][260/535][176438] Loss_D: -0.019804 Loss_G: 0.026567 Loss_D_real: -0.018108 Loss_D_fake 0.001695
[1709/5000][265/535][176439] Loss_D: -0.018279 Loss_G: -0.005641 Loss_D_real: -0.002692 Loss_D_fake 0.015586
[1709/5000][270/535][176440] Loss_D: -0.019306 Loss_G: 0.009957 Loss_D_real: -0.022978 Loss_D_fake -0.003672
[1709/5000][275/535][176441] Loss_D: -0.018873 Loss_G: 0.002816 Loss_D_real: -0.010721 Loss_D_fake 0.008152
[1709/5000][280/535][176442] Loss_D: -0.018612 Loss_G: 0.026330 Loss_D_real: -0.031417 Loss_D_fake -0.012805
[1709/5000][285/535][176443] Loss_D: -0.018502 Loss_G: -0.003387 Loss_D_real: -0.007069 Loss_D_fake 0.011434
[1709/5000][290/535][176444] Loss_D: -0.017997 Loss_G: 0.006685 Loss_D_real: -0.012511 Loss_D_fake 0.005486
[1709/5000][295/535][176445] Loss_D: -0.018544 Loss_G: -0.007605 Loss_D_real: -0.003281 Loss_D_fake 0.015263
[1709/5000][300/535][176446] Loss_D: -0.018792 Loss_G: 0.007781 Loss_D_real: -0.015864 Loss_D_fake 0.002928
[1709/5000][305/535][176447] Loss_D: -0.018212 Loss_G: 0.006180 Loss_D_real: -0.027570 Loss_D_fake -0.009358
[1709/5000][310/535][176448] Loss_D: -0.017989 Loss_G: 0.012856 Loss_D_real: -0.016487 Loss_D_fake 0.001502
[1709/5000][315/535][176449] Loss_D: -0.019530 Loss_G: 0.009654 Loss_D_real: -0.013741 Loss_D_fake 0.005789
[1709/5000][320/535][176450] Loss_D: -0.017719 Loss_G: 0.009624 Loss_D_real: -0.011422 Loss_D_fake 0.006296
[1709/5000][325/535][176451] Loss_D: -0.018366 Loss_G: 0.001859 Loss_D_real: -0.024877 Loss_D_fake -0.006511
[1709/5000][330/535][176452] Loss_D: -0.018841 Loss_G: -0.004636 Loss_D_real: -0.017049 Loss_D_fake 0.001792
[1709/5000][335/535][176453] Loss_D: -0.018038 Loss_G: 0.024680 Loss_D_real: -0.020676 Loss_D_fake -0.002638
[1709/5000][340/535][176454] Loss_D: -0.019377 Loss_G: 0.014542 Loss_D_real: -0.025792 Loss_D_fake -0.006415
[1709/5000][345/535][176455] Loss_D: -0.018827 Loss_G: 0.015413 Loss_D_real: -0.029482 Loss_D_fake -0.010655
[1709/5000][350/535][176456] Loss_D: -0.018716 Loss_G: 0.000209 Loss_D_real: -0.013776 Loss_D_fake 0.004940
[1709/5000][355/535][176457] Loss_D: -0.017654 Loss_G: -0.016851 Loss_D_real: -0.014696 Loss_D_fake 0.002958
[1709/5000][360/535][176458] Loss_D: -0.020329 Loss_G: 0.015709 Loss_D_real: -0.031969 Loss_D_fake -0.011640
[1709/5000][365/535][176459] Loss_D: -0.019837 Loss_G: 0.007949 Loss_D_real: -0.005924 Loss_D_fake 0.013913
[1709/5000][370/535][176460] Loss_D: -0.018242 Loss_G: 0.006393 Loss_D_real: -0.008771 Loss_D_fake 0.009471
[1709/5000][375/535][176461] Loss_D: -0.020032 Loss_G: 0.003559 Loss_D_real: -0.003360 Loss_D_fake 0.016672
[1709/5000][380/535][176462] Loss_D: -0.018542 Loss_G: 0.012276 Loss_D_real: -0.021915 Loss_D_fake -0.003373
[1709/5000][385/535][176463] Loss_D: -0.016099 Loss_G: 0.031824 Loss_D_real: -0.030982 Loss_D_fake -0.014884
[1709/5000][390/535][176464] Loss_D: -0.018604 Loss_G: -0.002494 Loss_D_real: -0.009958 Loss_D_fake 0.008646
[1709/5000][395/535][176465] Loss_D: -0.017550 Loss_G: 0.019578 Loss_D_real: -0.026105 Loss_D_fake -0.008555
[1709/5000][400/535][176466] Loss_D: -0.018306 Loss_G: 0.008949 Loss_D_real: -0.015627 Loss_D_fake 0.002679
[1709/5000][405/535][176467] Loss_D: -0.017207 Loss_G: -0.002989 Loss_D_real: -0.002030 Loss_D_fake 0.015178
[1709/5000][410/535][176468] Loss_D: -0.017209 Loss_G: 0.007860 Loss_D_real: -0.017012 Loss_D_fake 0.000197
[1709/5000][415/535][176469] Loss_D: -0.019215 Loss_G: 0.006689 Loss_D_real: -0.020667 Loss_D_fake -0.001452
[1709/5000][420/535][176470] Loss_D: -0.018803 Loss_G: 0.010100 Loss_D_real: -0.006169 Loss_D_fake 0.012634
[1709/5000][425/535][176471] Loss_D: -0.017971 Loss_G: 0.021312 Loss_D_real: -0.023915 Loss_D_fake -0.005943
[1709/5000][430/535][176472] Loss_D: -0.019041 Loss_G: 0.000391 Loss_D_real: -0.023964 Loss_D_fake -0.004923
[1709/5000][435/535][176473] Loss_D: -0.019946 Loss_G: 0.018528 Loss_D_real: -0.024243 Loss_D_fake -0.004297
[1709/5000][440/535][176474] Loss_D: -0.018664 Loss_G: -0.020533 Loss_D_real: -0.008852 Loss_D_fake 0.009811
[1709/5000][445/535][176475] Loss_D: -0.018822 Loss_G: 0.002009 Loss_D_real: -0.015251 Loss_D_fake 0.003571
[1709/5000][450/535][176476] Loss_D: -0.017510 Loss_G: 0.028850 Loss_D_real: -0.029253 Loss_D_fake -0.011742
[1709/5000][455/535][176477] Loss_D: -0.018338 Loss_G: 0.004184 Loss_D_real: -0.001912 Loss_D_fake 0.016426
[1709/5000][460/535][176478] Loss_D: -0.019786 Loss_G: 0.001622 Loss_D_real: -0.017730 Loss_D_fake 0.002056
[1709/5000][465/535][176479] Loss_D: -0.018670 Loss_G: 0.000947 Loss_D_real: -0.011322 Loss_D_fake 0.007348
[1709/5000][470/535][176480] Loss_D: -0.019147 Loss_G: 0.013325 Loss_D_real: -0.013625 Loss_D_fake 0.005522
[1709/5000][475/535][176481] Loss_D: -0.018159 Loss_G: 0.002092 Loss_D_real: -0.015900 Loss_D_fake 0.002258
[1709/5000][480/535][176482] Loss_D: -0.018715 Loss_G: 0.003511 Loss_D_real: -0.007018 Loss_D_fake 0.011697
[1709/5000][485/535][176483] Loss_D: -0.017842 Loss_G: 0.010158 Loss_D_real: -0.012259 Loss_D_fake 0.005583
[1709/5000][490/535][176484] Loss_D: -0.019825 Loss_G: 0.011149 Loss_D_real: -0.010987 Loss_D_fake 0.008838
[1709/5000][495/535][176485] Loss_D: -0.020404 Loss_G: 0.006274 Loss_D_real: -0.025128 Loss_D_fake -0.004723
[1709/5000][500/535][176486] Loss_D: -0.019091 Loss_G: 0.008571 Loss_D_real: -0.017488 Loss_D_fake 0.001603
[1709/5000][505/535][176487] Loss_D: -0.019287 Loss_G: -0.004116 Loss_D_real: -0.000649 Loss_D_fake 0.018639
[1709/5000][510/535][176488] Loss_D: -0.018365 Loss_G: 0.006016 Loss_D_real: -0.010594 Loss_D_fake 0.007771
[1709/5000][515/535][176489] Loss_D: -0.018475 Loss_G: 0.004416 Loss_D_real: -0.022849 Loss_D_fake -0.004374
[1709/5000][520/535][176490] Loss_D: -0.018766 Loss_G: 0.004634 Loss_D_real: -0.008086 Loss_D_fake 0.010680
[1709/5000][525/535][176491] Loss_D: -0.017907 Loss_G: 0.012140 Loss_D_real: -0.010884 Loss_D_fake 0.007022
[1709/5000][530/535][176492] Loss_D: -0.019497 Loss_G: 0.015950 Loss_D_real: -0.007491 Loss_D_fake 0.012005
[1709/5000][535/535][176493] Loss_D: -0.021485 Loss_G: -0.014315 Loss_D_real: -0.021256 Loss_D_fake 0.000228
[1710/5000][5/535][176494] Loss_D: -0.018209 Loss_G: 0.021543 Loss_D_real: -0.019097 Loss_D_fake -0.000888
[1710/5000][10/535][176495] Loss_D: -0.018436 Loss_G: -0.001112 Loss_D_real: -0.009261 Loss_D_fake 0.009175
[1710/5000][15/535][176496] Loss_D: -0.018586 Loss_G: 0.017595 Loss_D_real: -0.030133 Loss_D_fake -0.011547
[1710/5000][20/535][176497] Loss_D: -0.017451 Loss_G: -0.001308 Loss_D_real: -0.019577 Loss_D_fake -0.002126
[1710/5000][25/535][176498] Loss_D: -0.018706 Loss_G: 0.001869 Loss_D_real: -0.008939 Loss_D_fake 0.009767
[1710/5000][30/535][176499] Loss_D: -0.019501 Loss_G: -0.012774 Loss_D_real: 0.001537 Loss_D_fake 0.021038
[1710/5000][35/535][176500] Loss_D: -0.019441 Loss_G: 0.021646 Loss_D_real: -0.018517 Loss_D_fake 0.000924
[1710/5000][135/535][176501] Loss_D: -0.019416 Loss_G: -0.019794 Loss_D_real: 0.011549 Loss_D_fake 0.030964
[1710/5000][140/535][176502] Loss_D: -0.018125 Loss_G: 0.001340 Loss_D_real: -0.015582 Loss_D_fake 0.002543
[1710/5000][145/535][176503] Loss_D: -0.019613 Loss_G: 0.010784 Loss_D_real: -0.012936 Loss_D_fake 0.006677
[1710/5000][150/535][176504] Loss_D: -0.015914 Loss_G: 0.009054 Loss_D_real: -0.032295 Loss_D_fake -0.016381
[1710/5000][155/535][176505] Loss_D: -0.017005 Loss_G: 0.016634 Loss_D_real: -0.010821 Loss_D_fake 0.006184
[1710/5000][160/535][176506] Loss_D: -0.016639 Loss_G: 0.006874 Loss_D_real: -0.006761 Loss_D_fake 0.009878
[1710/5000][165/535][176507] Loss_D: -0.018022 Loss_G: 0.017182 Loss_D_real: -0.021461 Loss_D_fake -0.003439
[1710/5000][170/535][176508] Loss_D: -0.018860 Loss_G: -0.000388 Loss_D_real: -0.017265 Loss_D_fake 0.001595
[1710/5000][175/535][176509] Loss_D: -0.020222 Loss_G: 0.019829 Loss_D_real: -0.013289 Loss_D_fake 0.006933
[1710/5000][180/535][176510] Loss_D: -0.017267 Loss_G: -0.000140 Loss_D_real: -0.022321 Loss_D_fake -0.005054
[1710/5000][185/535][176511] Loss_D: -0.018211 Loss_G: 0.013906 Loss_D_real: -0.008494 Loss_D_fake 0.009718
[1710/5000][190/535][176512] Loss_D: -0.019400 Loss_G: 0.007435 Loss_D_real: -0.029260 Loss_D_fake -0.009860
[1710/5000][195/535][176513] Loss_D: -0.016813 Loss_G: 0.024677 Loss_D_real: -0.028256 Loss_D_fake -0.011442
[1710/5000][200/535][176514] Loss_D: -0.018730 Loss_G: 0.001922 Loss_D_real: -0.011916 Loss_D_fake 0.006814
[1710/5000][205/535][176515] Loss_D: -0.018779 Loss_G: 0.022088 Loss_D_real: -0.025793 Loss_D_fake -0.007014
[1710/5000][210/535][176516] Loss_D: -0.018962 Loss_G: 0.000564 Loss_D_real: -0.017943 Loss_D_fake 0.001018
[1710/5000][215/535][176517] Loss_D: -0.018562 Loss_G: 0.020356 Loss_D_real: -0.032159 Loss_D_fake -0.013596
[1710/5000][220/535][176518] Loss_D: -0.018708 Loss_G: 0.002522 Loss_D_real: -0.017107 Loss_D_fake 0.001601
[1710/5000][225/535][176519] Loss_D: -0.018863 Loss_G: 0.010819 Loss_D_real: -0.031598 Loss_D_fake -0.012735
[1710/5000][230/535][176520] Loss_D: -0.019257 Loss_G: 0.024384 Loss_D_real: -0.024007 Loss_D_fake -0.004750
[1710/5000][235/535][176521] Loss_D: -0.019999 Loss_G: -0.003992 Loss_D_real: -0.011276 Loss_D_fake 0.008723
[1710/5000][240/535][176522] Loss_D: -0.017323 Loss_G: 0.022204 Loss_D_real: -0.018012 Loss_D_fake -0.000689
[1710/5000][245/535][176523] Loss_D: -0.018621 Loss_G: -0.007798 Loss_D_real: 0.000231 Loss_D_fake 0.018852
[1710/5000][250/535][176524] Loss_D: -0.019809 Loss_G: -0.005898 Loss_D_real: -0.006372 Loss_D_fake 0.013437
[1710/5000][255/535][176525] Loss_D: -0.018569 Loss_G: 0.002644 Loss_D_real: -0.000804 Loss_D_fake 0.017765
[1710/5000][260/535][176526] Loss_D: -0.017448 Loss_G: -0.003438 Loss_D_real: -0.009279 Loss_D_fake 0.008169
[1710/5000][265/535][176527] Loss_D: -0.017176 Loss_G: 0.021058 Loss_D_real: -0.031035 Loss_D_fake -0.013859
[1710/5000][270/535][176528] Loss_D: -0.019108 Loss_G: -0.001422 Loss_D_real: -0.019488 Loss_D_fake -0.000380
[1710/5000][275/535][176529] Loss_D: -0.017707 Loss_G: 0.004461 Loss_D_real: -0.019837 Loss_D_fake -0.002130
[1710/5000][280/535][176530] Loss_D: -0.018340 Loss_G: -0.004096 Loss_D_real: 0.002198 Loss_D_fake 0.020538
[1710/5000][285/535][176531] Loss_D: -0.018705 Loss_G: 0.007405 Loss_D_real: -0.024910 Loss_D_fake -0.006205
[1710/5000][290/535][176532] Loss_D: -0.018584 Loss_G: 0.002329 Loss_D_real: -0.016610 Loss_D_fake 0.001974
[1710/5000][295/535][176533] Loss_D: -0.017093 Loss_G: 0.030915 Loss_D_real: -0.026487 Loss_D_fake -0.009394
[1710/5000][300/535][176534] Loss_D: -0.017395 Loss_G: 0.010221 Loss_D_real: -0.020023 Loss_D_fake -0.002628
[1710/5000][305/535][176535] Loss_D: -0.018795 Loss_G: 0.007786 Loss_D_real: -0.015458 Loss_D_fake 0.003336
[1710/5000][310/535][176536] Loss_D: -0.017687 Loss_G: 0.014540 Loss_D_real: -0.024679 Loss_D_fake -0.006992
[1710/5000][315/535][176537] Loss_D: -0.018387 Loss_G: -0.009712 Loss_D_real: 0.005517 Loss_D_fake 0.023905
[1710/5000][320/535][176538] Loss_D: -0.016107 Loss_G: 0.035001 Loss_D_real: -0.031308 Loss_D_fake -0.015202
[1710/5000][325/535][176539] Loss_D: -0.020802 Loss_G: -0.005891 Loss_D_real: -0.009933 Loss_D_fake 0.010869
[1710/5000][330/535][176540] Loss_D: -0.016825 Loss_G: 0.003447 Loss_D_real: -0.015957 Loss_D_fake 0.000868
[1710/5000][335/535][176541] Loss_D: -0.018594 Loss_G: 0.004827 Loss_D_real: -0.026506 Loss_D_fake -0.007913
[1710/5000][340/535][176542] Loss_D: -0.019462 Loss_G: 0.011215 Loss_D_real: -0.026038 Loss_D_fake -0.006576
[1710/5000][345/535][176543] Loss_D: -0.017491 Loss_G: 0.028917 Loss_D_real: -0.028191 Loss_D_fake -0.010700
[1710/5000][350/535][176544] Loss_D: -0.018811 Loss_G: 0.010662 Loss_D_real: -0.011770 Loss_D_fake 0.007041
[1710/5000][355/535][176545] Loss_D: -0.017674 Loss_G: -0.007953 Loss_D_real: -0.004858 Loss_D_fake 0.012815
[1710/5000][360/535][176546] Loss_D: -0.017758 Loss_G: -0.001268 Loss_D_real: -0.009240 Loss_D_fake 0.008518
[1710/5000][365/535][176547] Loss_D: -0.019989 Loss_G: 0.016121 Loss_D_real: -0.022645 Loss_D_fake -0.002655
[1710/5000][370/535][176548] Loss_D: -0.016970 Loss_G: -0.022579 Loss_D_real: 0.010409 Loss_D_fake 0.027378
[1710/5000][375/535][176549] Loss_D: -0.017987 Loss_G: 0.012010 Loss_D_real: -0.013892 Loss_D_fake 0.004095
[1710/5000][380/535][176550] Loss_D: -0.018555 Loss_G: 0.013632 Loss_D_real: -0.020604 Loss_D_fake -0.002049
[1710/5000][385/535][176551] Loss_D: -0.017641 Loss_G: -0.010653 Loss_D_real: -0.018868 Loss_D_fake -0.001226
[1710/5000][390/535][176552] Loss_D: -0.017282 Loss_G: -0.005501 Loss_D_real: -0.013298 Loss_D_fake 0.003984
[1710/5000][395/535][176553] Loss_D: -0.019170 Loss_G: -0.000683 Loss_D_real: -0.007510 Loss_D_fake 0.011661
[1710/5000][400/535][176554] Loss_D: -0.018484 Loss_G: 0.003897 Loss_D_real: -0.019399 Loss_D_fake -0.000915
[1710/5000][405/535][176555] Loss_D: -0.018495 Loss_G: 0.008108 Loss_D_real: -0.017964 Loss_D_fake 0.000530
[1710/5000][410/535][176556] Loss_D: -0.017355 Loss_G: 0.025492 Loss_D_real: -0.036925 Loss_D_fake -0.019569
[1710/5000][415/535][176557] Loss_D: -0.018672 Loss_G: 0.018995 Loss_D_real: -0.022522 Loss_D_fake -0.003850
[1710/5000][420/535][176558] Loss_D: -0.018476 Loss_G: 0.009351 Loss_D_real: -0.027758 Loss_D_fake -0.009282
[1710/5000][425/535][176559] Loss_D: -0.018270 Loss_G: -0.006529 Loss_D_real: -0.000868 Loss_D_fake 0.017402
[1710/5000][430/535][176560] Loss_D: -0.017796 Loss_G: 0.017835 Loss_D_real: -0.018380 Loss_D_fake -0.000585
[1710/5000][435/535][176561] Loss_D: -0.018700 Loss_G: -0.004233 Loss_D_real: -0.017141 Loss_D_fake 0.001559
[1710/5000][440/535][176562] Loss_D: -0.017598 Loss_G: -0.006664 Loss_D_real: -0.000175 Loss_D_fake 0.017423
[1710/5000][445/535][176563] Loss_D: -0.018589 Loss_G: 0.018176 Loss_D_real: -0.024196 Loss_D_fake -0.005607
[1710/5000][450/535][176564] Loss_D: -0.018151 Loss_G: -0.006516 Loss_D_real: 0.003555 Loss_D_fake 0.021705
[1710/5000][455/535][176565] Loss_D: -0.017082 Loss_G: -0.016221 Loss_D_real: 0.008613 Loss_D_fake 0.025695
[1710/5000][460/535][176566] Loss_D: -0.019239 Loss_G: 0.016108 Loss_D_real: -0.022689 Loss_D_fake -0.003451
[1710/5000][465/535][176567] Loss_D: -0.018302 Loss_G: 0.015104 Loss_D_real: -0.028049 Loss_D_fake -0.009748
[1710/5000][470/535][176568] Loss_D: -0.018115 Loss_G: -0.007753 Loss_D_real: -0.007219 Loss_D_fake 0.010896
[1710/5000][475/535][176569] Loss_D: -0.018518 Loss_G: 0.007172 Loss_D_real: -0.019990 Loss_D_fake -0.001472
[1710/5000][480/535][176570] Loss_D: -0.019932 Loss_G: -0.004802 Loss_D_real: -0.018320 Loss_D_fake 0.001612
[1710/5000][485/535][176571] Loss_D: -0.017495 Loss_G: -0.005721 Loss_D_real: 0.002187 Loss_D_fake 0.019681
[1710/5000][490/535][176572] Loss_D: -0.018111 Loss_G: -0.001895 Loss_D_real: -0.014685 Loss_D_fake 0.003426
[1710/5000][495/535][176573] Loss_D: -0.018687 Loss_G: -0.014681 Loss_D_real: -0.006092 Loss_D_fake 0.012595
[1710/5000][500/535][176574] Loss_D: -0.018321 Loss_G: 0.021084 Loss_D_real: -0.020905 Loss_D_fake -0.002584
[1710/5000][505/535][176575] Loss_D: -0.018439 Loss_G: 0.004207 Loss_D_real: -0.015363 Loss_D_fake 0.003076
[1710/5000][510/535][176576] Loss_D: -0.018387 Loss_G: -0.001542 Loss_D_real: -0.009686 Loss_D_fake 0.008701
[1710/5000][515/535][176577] Loss_D: -0.019015 Loss_G: 0.004677 Loss_D_real: -0.005074 Loss_D_fake 0.013941
[1710/5000][520/535][176578] Loss_D: -0.018108 Loss_G: 0.007828 Loss_D_real: -0.024450 Loss_D_fake -0.006342
[1710/5000][525/535][176579] Loss_D: -0.018319 Loss_G: 0.028655 Loss_D_real: -0.021946 Loss_D_fake -0.003626
[1710/5000][530/535][176580] Loss_D: -0.018917 Loss_G: -0.012359 Loss_D_real: -0.006240 Loss_D_fake 0.012677
[1710/5000][535/535][176581] Loss_D: -0.019185 Loss_G: 0.041046 Loss_D_real: -0.011378 Loss_D_fake 0.007807
[1711/5000][5/535][176582] Loss_D: -0.016863 Loss_G: 0.005313 Loss_D_real: -0.012686 Loss_D_fake 0.004177
[1711/5000][10/535][176583] Loss_D: -0.018405 Loss_G: 0.011706 Loss_D_real: -0.031843 Loss_D_fake -0.013438
[1711/5000][15/535][176584] Loss_D: -0.018061 Loss_G: -0.004014 Loss_D_real: -0.010823 Loss_D_fake 0.007239
[1711/5000][20/535][176585] Loss_D: -0.019551 Loss_G: 0.012027 Loss_D_real: -0.034967 Loss_D_fake -0.015417
[1711/5000][25/535][176586] Loss_D: -0.018165 Loss_G: 0.017716 Loss_D_real: -0.028510 Loss_D_fake -0.010345
[1711/5000][30/535][176587] Loss_D: -0.018844 Loss_G: 0.011129 Loss_D_real: -0.013084 Loss_D_fake 0.005759
[1711/5000][35/535][176588] Loss_D: -0.018522 Loss_G: 0.004481 Loss_D_real: -0.028068 Loss_D_fake -0.009545
[1711/5000][40/535][176589] Loss_D: -0.018094 Loss_G: 0.015191 Loss_D_real: -0.014077 Loss_D_fake 0.004017
[1711/5000][45/535][176590] Loss_D: -0.018424 Loss_G: 0.011805 Loss_D_real: -0.018682 Loss_D_fake -0.000258
[1711/5000][50/535][176591] Loss_D: -0.019217 Loss_G: 0.011165 Loss_D_real: -0.016274 Loss_D_fake 0.002943
[1711/5000][55/535][176592] Loss_D: -0.018518 Loss_G: 0.008495 Loss_D_real: -0.019009 Loss_D_fake -0.000491
[1711/5000][60/535][176593] Loss_D: -0.019030 Loss_G: 0.008362 Loss_D_real: -0.028352 Loss_D_fake -0.009322
[1711/5000][65/535][176594] Loss_D: -0.018588 Loss_G: 0.015920 Loss_D_real: -0.011324 Loss_D_fake 0.007264
[1711/5000][70/535][176595] Loss_D: -0.018951 Loss_G: 0.019205 Loss_D_real: -0.030066 Loss_D_fake -0.011116
[1711/5000][75/535][176596] Loss_D: -0.016946 Loss_G: 0.020182 Loss_D_real: -0.020530 Loss_D_fake -0.003584
[1711/5000][80/535][176597] Loss_D: -0.018428 Loss_G: 0.010340 Loss_D_real: -0.014917 Loss_D_fake 0.003511
[1711/5000][85/535][176598] Loss_D: -0.016535 Loss_G: 0.016448 Loss_D_real: -0.028794 Loss_D_fake -0.012258
[1711/5000][90/535][176599] Loss_D: -0.020163 Loss_G: 0.004957 Loss_D_real: -0.014999 Loss_D_fake 0.005164
[1711/5000][95/535][176600] Loss_D: -0.018844 Loss_G: 0.009705 Loss_D_real: -0.019389 Loss_D_fake -0.000545
[1711/5000][100/535][176601] Loss_D: -0.019162 Loss_G: 0.001387 Loss_D_real: -0.024487 Loss_D_fake -0.005325
[1711/5000][105/535][176602] Loss_D: -0.018707 Loss_G: 0.011161 Loss_D_real: -0.020454 Loss_D_fake -0.001747
[1711/5000][110/535][176603] Loss_D: -0.018375 Loss_G: -0.008357 Loss_D_real: -0.011465 Loss_D_fake 0.006910
[1711/5000][115/535][176604] Loss_D: -0.018087 Loss_G: 0.003944 Loss_D_real: -0.021491 Loss_D_fake -0.003404
[1711/5000][120/535][176605] Loss_D: -0.017862 Loss_G: 0.019505 Loss_D_real: -0.031250 Loss_D_fake -0.013389
[1711/5000][125/535][176606] Loss_D: -0.018964 Loss_G: -0.006591 Loss_D_real: -0.001084 Loss_D_fake 0.017880
[1711/5000][130/535][176607] Loss_D: -0.019052 Loss_G: 0.011491 Loss_D_real: -0.014622 Loss_D_fake 0.004430
[1711/5000][135/535][176608] Loss_D: -0.017757 Loss_G: 0.000098 Loss_D_real: -0.015583 Loss_D_fake 0.002175
[1711/5000][140/535][176609] Loss_D: -0.018444 Loss_G: 0.026308 Loss_D_real: -0.021167 Loss_D_fake -0.002723
[1711/5000][145/535][176610] Loss_D: -0.020061 Loss_G: 0.019043 Loss_D_real: -0.013155 Loss_D_fake 0.006907
[1711/5000][150/535][176611] Loss_D: -0.019194 Loss_G: 0.009876 Loss_D_real: -0.009612 Loss_D_fake 0.009582
[1711/5000][155/535][176612] Loss_D: -0.017650 Loss_G: -0.008771 Loss_D_real: -0.005422 Loss_D_fake 0.012227
[1711/5000][160/535][176613] Loss_D: -0.019954 Loss_G: 0.008384 Loss_D_real: -0.022599 Loss_D_fake -0.002645
[1711/5000][165/535][176614] Loss_D: -0.019416 Loss_G: 0.005577 Loss_D_real: -0.009364 Loss_D_fake 0.010052
[1711/5000][170/535][176615] Loss_D: -0.019741 Loss_G: -0.000555 Loss_D_real: -0.016045 Loss_D_fake 0.003695
[1711/5000][175/535][176616] Loss_D: -0.019634 Loss_G: 0.026623 Loss_D_real: -0.031673 Loss_D_fake -0.012039
[1711/5000][180/535][176617] Loss_D: -0.019429 Loss_G: -0.002361 Loss_D_real: -0.015793 Loss_D_fake 0.003636
[1711/5000][185/535][176618] Loss_D: -0.018920 Loss_G: -0.002664 Loss_D_real: -0.008645 Loss_D_fake 0.010275
[1711/5000][190/535][176619] Loss_D: -0.017878 Loss_G: 0.010135 Loss_D_real: -0.030220 Loss_D_fake -0.012343
[1711/5000][195/535][176620] Loss_D: -0.019890 Loss_G: 0.010694 Loss_D_real: -0.012673 Loss_D_fake 0.007216
[1711/5000][200/535][176621] Loss_D: -0.018173 Loss_G: 0.012426 Loss_D_real: -0.027816 Loss_D_fake -0.009643
[1711/5000][205/535][176622] Loss_D: -0.017646 Loss_G: -0.010169 Loss_D_real: 0.001248 Loss_D_fake 0.018895
[1711/5000][210/535][176623] Loss_D: -0.018371 Loss_G: 0.008039 Loss_D_real: -0.016372 Loss_D_fake 0.002000
[1711/5000][215/535][176624] Loss_D: -0.018944 Loss_G: -0.008193 Loss_D_real: -0.009541 Loss_D_fake 0.009402
[1711/5000][220/535][176625] Loss_D: -0.019623 Loss_G: 0.020854 Loss_D_real: -0.022913 Loss_D_fake -0.003290
[1711/5000][225/535][176626] Loss_D: -0.019063 Loss_G: 0.017519 Loss_D_real: -0.008842 Loss_D_fake 0.010221
[1711/5000][230/535][176627] Loss_D: -0.019176 Loss_G: 0.009392 Loss_D_real: -0.006453 Loss_D_fake 0.012723
[1711/5000][235/535][176628] Loss_D: -0.017670 Loss_G: 0.024601 Loss_D_real: -0.019421 Loss_D_fake -0.001751
[1711/5000][240/535][176629] Loss_D: -0.018455 Loss_G: -0.012005 Loss_D_real: -0.001282 Loss_D_fake 0.017173
[1711/5000][245/535][176630] Loss_D: -0.017263 Loss_G: 0.007813 Loss_D_real: -0.015755 Loss_D_fake 0.001508
[1711/5000][250/535][176631] Loss_D: -0.019559 Loss_G: 0.006879 Loss_D_real: -0.021511 Loss_D_fake -0.001952
[1711/5000][255/535][176632] Loss_D: -0.018715 Loss_G: -0.000000 Loss_D_real: -0.002702 Loss_D_fake 0.016013
[1711/5000][260/535][176633] Loss_D: -0.018795 Loss_G: -0.003198 Loss_D_real: -0.004110 Loss_D_fake 0.014685
[1711/5000][265/535][176634] Loss_D: -0.017046 Loss_G: -0.011430 Loss_D_real: 0.010897 Loss_D_fake 0.027943
[1711/5000][270/535][176635] Loss_D: -0.018539 Loss_G: 0.002333 Loss_D_real: -0.021538 Loss_D_fake -0.002998
[1711/5000][275/535][176636] Loss_D: -0.019216 Loss_G: 0.006880 Loss_D_real: -0.007808 Loss_D_fake 0.011408
[1711/5000][280/535][176637] Loss_D: -0.017285 Loss_G: -0.002287 Loss_D_real: -0.004688 Loss_D_fake 0.012597
[1711/5000][285/535][176638] Loss_D: -0.018256 Loss_G: 0.011342 Loss_D_real: -0.016578 Loss_D_fake 0.001677
[1711/5000][290/535][176639] Loss_D: -0.018595 Loss_G: 0.008611 Loss_D_real: -0.020237 Loss_D_fake -0.001642
[1711/5000][295/535][176640] Loss_D: -0.018020 Loss_G: 0.017064 Loss_D_real: -0.030348 Loss_D_fake -0.012328
[1711/5000][300/535][176641] Loss_D: -0.018283 Loss_G: 0.008997 Loss_D_real: -0.029420 Loss_D_fake -0.011137
[1711/5000][305/535][176642] Loss_D: -0.019286 Loss_G: -0.004657 Loss_D_real: -0.011642 Loss_D_fake 0.007644
[1711/5000][310/535][176643] Loss_D: -0.020413 Loss_G: 0.020321 Loss_D_real: -0.017696 Loss_D_fake 0.002717
[1711/5000][315/535][176644] Loss_D: -0.018171 Loss_G: -0.001392 Loss_D_real: -0.001610 Loss_D_fake 0.016560
[1711/5000][320/535][176645] Loss_D: -0.018425 Loss_G: 0.021376 Loss_D_real: -0.016590 Loss_D_fake 0.001834
[1711/5000][325/535][176646] Loss_D: -0.017982 Loss_G: 0.004784 Loss_D_real: -0.027208 Loss_D_fake -0.009227
[1711/5000][330/535][176647] Loss_D: -0.017576 Loss_G: -0.014122 Loss_D_real: -0.000193 Loss_D_fake 0.017382
[1711/5000][335/535][176648] Loss_D: -0.018595 Loss_G: 0.006502 Loss_D_real: -0.011756 Loss_D_fake 0.006839
[1711/5000][340/535][176649] Loss_D: -0.018274 Loss_G: 0.006284 Loss_D_real: -0.001770 Loss_D_fake 0.016504
[1711/5000][345/535][176650] Loss_D: -0.017334 Loss_G: 0.018142 Loss_D_real: -0.015140 Loss_D_fake 0.002194
[1711/5000][350/535][176651] Loss_D: -0.019581 Loss_G: -0.000670 Loss_D_real: -0.001585 Loss_D_fake 0.017996
[1711/5000][355/535][176652] Loss_D: -0.019169 Loss_G: 0.026443 Loss_D_real: -0.026858 Loss_D_fake -0.007689
[1711/5000][360/535][176653] Loss_D: -0.018266 Loss_G: 0.007469 Loss_D_real: -0.012279 Loss_D_fake 0.005987
[1711/5000][365/535][176654] Loss_D: -0.019297 Loss_G: 0.001670 Loss_D_real: -0.022009 Loss_D_fake -0.002712
[1711/5000][370/535][176655] Loss_D: -0.018069 Loss_G: 0.001789 Loss_D_real: -0.007800 Loss_D_fake 0.010270
[1711/5000][375/535][176656] Loss_D: -0.019043 Loss_G: 0.002823 Loss_D_real: -0.013909 Loss_D_fake 0.005134
[1711/5000][380/535][176657] Loss_D: -0.018125 Loss_G: 0.008667 Loss_D_real: -0.027853 Loss_D_fake -0.009728
[1711/5000][385/535][176658] Loss_D: -0.018128 Loss_G: 0.000385 Loss_D_real: -0.016696 Loss_D_fake 0.001432
[1711/5000][390/535][176659] Loss_D: -0.017666 Loss_G: 0.027355 Loss_D_real: -0.032573 Loss_D_fake -0.014906
[1711/5000][395/535][176660] Loss_D: -0.019288 Loss_G: -0.001867 Loss_D_real: -0.014655 Loss_D_fake 0.004632
[1711/5000][400/535][176661] Loss_D: -0.019101 Loss_G: -0.004895 Loss_D_real: -0.013198 Loss_D_fake 0.005904
[1711/5000][405/535][176662] Loss_D: -0.018271 Loss_G: -0.018756 Loss_D_real: 0.006212 Loss_D_fake 0.024483
[1711/5000][410/535][176663] Loss_D: -0.018106 Loss_G: 0.011786 Loss_D_real: -0.014433 Loss_D_fake 0.003673
[1711/5000][415/535][176664] Loss_D: -0.017535 Loss_G: -0.016362 Loss_D_real: -0.007402 Loss_D_fake 0.010133
[1711/5000][420/535][176665] Loss_D: -0.018971 Loss_G: -0.010647 Loss_D_real: 0.001948 Loss_D_fake 0.020920
[1711/5000][425/535][176666] Loss_D: -0.018465 Loss_G: -0.006592 Loss_D_real: -0.011143 Loss_D_fake 0.007321
[1711/5000][430/535][176667] Loss_D: -0.018654 Loss_G: 0.010479 Loss_D_real: -0.003650 Loss_D_fake 0.015004
[1711/5000][435/535][176668] Loss_D: -0.018425 Loss_G: 0.007435 Loss_D_real: -0.010867 Loss_D_fake 0.007559
[1711/5000][440/535][176669] Loss_D: -0.017567 Loss_G: -0.004244 Loss_D_real: -0.008715 Loss_D_fake 0.008852
[1711/5000][445/535][176670] Loss_D: -0.019320 Loss_G: 0.012338 Loss_D_real: -0.022207 Loss_D_fake -0.002886
[1711/5000][450/535][176671] Loss_D: -0.017929 Loss_G: -0.008893 Loss_D_real: -0.008583 Loss_D_fake 0.009347
[1711/5000][455/535][176672] Loss_D: -0.018503 Loss_G: -0.011250 Loss_D_real: -0.005802 Loss_D_fake 0.012701
[1711/5000][460/535][176673] Loss_D: -0.018513 Loss_G: 0.012296 Loss_D_real: -0.023058 Loss_D_fake -0.004546
[1711/5000][465/535][176674] Loss_D: -0.017712 Loss_G: 0.005437 Loss_D_real: -0.015212 Loss_D_fake 0.002500
[1711/5000][470/535][176675] Loss_D: -0.019358 Loss_G: 0.020062 Loss_D_real: -0.029664 Loss_D_fake -0.010306
[1711/5000][475/535][176676] Loss_D: -0.018125 Loss_G: -0.012359 Loss_D_real: -0.006408 Loss_D_fake 0.011717
[1711/5000][480/535][176677] Loss_D: -0.018196 Loss_G: 0.009462 Loss_D_real: -0.022751 Loss_D_fake -0.004555
[1711/5000][485/535][176678] Loss_D: -0.019354 Loss_G: 0.015341 Loss_D_real: -0.013151 Loss_D_fake 0.006203
[1711/5000][490/535][176679] Loss_D: -0.019720 Loss_G: 0.004264 Loss_D_real: -0.001627 Loss_D_fake 0.018093
[1711/5000][495/535][176680] Loss_D: -0.018762 Loss_G: -0.006366 Loss_D_real: -0.016674 Loss_D_fake 0.002087
[1711/5000][500/535][176681] Loss_D: -0.018008 Loss_G: 0.015636 Loss_D_real: -0.030300 Loss_D_fake -0.012293
[1711/5000][505/535][176682] Loss_D: -0.019238 Loss_G: 0.005504 Loss_D_real: -0.016538 Loss_D_fake 0.002699
[1711/5000][510/535][176683] Loss_D: -0.020163 Loss_G: 0.014438 Loss_D_real: -0.014428 Loss_D_fake 0.005735
[1711/5000][515/535][176684] Loss_D: -0.017632 Loss_G: 0.025546 Loss_D_real: -0.023505 Loss_D_fake -0.005873
[1711/5000][520/535][176685] Loss_D: -0.019327 Loss_G: 0.011563 Loss_D_real: -0.021256 Loss_D_fake -0.001929
[1711/5000][525/535][176686] Loss_D: -0.017814 Loss_G: 0.011470 Loss_D_real: -0.029223 Loss_D_fake -0.011410
[1711/5000][530/535][176687] Loss_D: -0.018185 Loss_G: 0.018115 Loss_D_real: -0.025652 Loss_D_fake -0.007467
[1711/5000][535/535][176688] Loss_D: -0.019233 Loss_G: 0.017138 Loss_D_real: -0.013144 Loss_D_fake 0.006089
[1712/5000][5/535][176689] Loss_D: -0.019481 Loss_G: 0.005980 Loss_D_real: -0.008213 Loss_D_fake 0.011268
[1712/5000][10/535][176690] Loss_D: -0.017870 Loss_G: -0.001979 Loss_D_real: -0.014228 Loss_D_fake 0.003642
[1712/5000][15/535][176691] Loss_D: -0.018000 Loss_G: 0.007931 Loss_D_real: -0.019994 Loss_D_fake -0.001994
[1712/5000][20/535][176692] Loss_D: -0.018549 Loss_G: -0.005090 Loss_D_real: 0.000786 Loss_D_fake 0.019334
[1712/5000][25/535][176693] Loss_D: -0.017567 Loss_G: 0.006022 Loss_D_real: -0.003098 Loss_D_fake 0.014468
[1712/5000][30/535][176694] Loss_D: -0.017947 Loss_G: 0.001654 Loss_D_real: -0.006259 Loss_D_fake 0.011689
[1712/5000][35/535][176695] Loss_D: -0.018785 Loss_G: 0.002804 Loss_D_real: -0.020025 Loss_D_fake -0.001240
[1712/5000][40/535][176696] Loss_D: -0.016859 Loss_G: -0.009326 Loss_D_real: -0.017442 Loss_D_fake -0.000584
[1712/5000][45/535][176697] Loss_D: -0.018331 Loss_G: 0.022000 Loss_D_real: -0.014003 Loss_D_fake 0.004328
[1712/5000][50/535][176698] Loss_D: -0.018557 Loss_G: 0.022372 Loss_D_real: -0.012353 Loss_D_fake 0.006204
[1712/5000][55/535][176699] Loss_D: -0.017956 Loss_G: 0.009670 Loss_D_real: -0.004090 Loss_D_fake 0.013866
[1712/5000][60/535][176700] Loss_D: -0.018006 Loss_G: 0.025400 Loss_D_real: -0.020241 Loss_D_fake -0.002235
[1712/5000][65/535][176701] Loss_D: -0.017558 Loss_G: 0.017247 Loss_D_real: -0.021324 Loss_D_fake -0.003767
[1712/5000][70/535][176702] Loss_D: -0.017258 Loss_G: -0.015575 Loss_D_real: 0.000591 Loss_D_fake 0.017850
[1712/5000][75/535][176703] Loss_D: -0.017818 Loss_G: 0.017520 Loss_D_real: -0.028493 Loss_D_fake -0.010675
[1712/5000][80/535][176704] Loss_D: -0.018362 Loss_G: 0.004090 Loss_D_real: -0.021977 Loss_D_fake -0.003615
[1712/5000][85/535][176705] Loss_D: -0.016920 Loss_G: 0.020627 Loss_D_real: -0.028166 Loss_D_fake -0.011246
[1712/5000][90/535][176706] Loss_D: -0.019363 Loss_G: 0.012737 Loss_D_real: -0.012489 Loss_D_fake 0.006874
[1712/5000][95/535][176707] Loss_D: -0.017329 Loss_G: -0.013294 Loss_D_real: 0.006943 Loss_D_fake 0.024271
[1712/5000][100/535][176708] Loss_D: -0.018250 Loss_G: 0.008889 Loss_D_real: -0.016731 Loss_D_fake 0.001519
[1712/5000][105/535][176709] Loss_D: -0.019904 Loss_G: 0.012311 Loss_D_real: -0.014240 Loss_D_fake 0.005664
[1712/5000][110/535][176710] Loss_D: -0.019308 Loss_G: 0.015982 Loss_D_real: -0.026519 Loss_D_fake -0.007211
[1712/5000][115/535][176711] Loss_D: -0.020036 Loss_G: -0.011722 Loss_D_real: -0.005075 Loss_D_fake 0.014961
[1712/5000][120/535][176712] Loss_D: -0.018365 Loss_G: -0.003606 Loss_D_real: -0.018210 Loss_D_fake 0.000155
[1712/5000][125/535][176713] Loss_D: -0.018804 Loss_G: 0.012757 Loss_D_real: -0.008170 Loss_D_fake 0.010634
[1712/5000][130/535][176714] Loss_D: -0.018734 Loss_G: -0.004362 Loss_D_real: -0.011617 Loss_D_fake 0.007118
[1712/5000][135/535][176715] Loss_D: -0.017795 Loss_G: 0.012854 Loss_D_real: -0.017943 Loss_D_fake -0.000148
[1712/5000][140/535][176716] Loss_D: -0.017364 Loss_G: 0.017396 Loss_D_real: -0.027804 Loss_D_fake -0.010440
[1712/5000][145/535][176717] Loss_D: -0.017368 Loss_G: 0.021744 Loss_D_real: -0.024168 Loss_D_fake -0.006800
[1712/5000][150/535][176718] Loss_D: -0.019001 Loss_G: 0.008400 Loss_D_real: -0.016381 Loss_D_fake 0.002620
[1712/5000][155/535][176719] Loss_D: -0.018106 Loss_G: 0.002258 Loss_D_real: -0.018066 Loss_D_fake 0.000040
[1712/5000][160/535][176720] Loss_D: -0.018994 Loss_G: 0.017998 Loss_D_real: -0.016856 Loss_D_fake 0.002139
[1712/5000][165/535][176721] Loss_D: -0.016792 Loss_G: 0.008079 Loss_D_real: -0.019988 Loss_D_fake -0.003196
[1712/5000][170/535][176722] Loss_D: -0.016218 Loss_G: -0.004473 Loss_D_real: -0.020260 Loss_D_fake -0.004041
[1712/5000][175/535][176723] Loss_D: -0.017748 Loss_G: 0.014217 Loss_D_real: -0.026775 Loss_D_fake -0.009026
[1712/5000][180/535][176724] Loss_D: -0.017824 Loss_G: 0.022727 Loss_D_real: -0.026511 Loss_D_fake -0.008688
[1712/5000][185/535][176725] Loss_D: -0.019446 Loss_G: -0.001768 Loss_D_real: -0.023783 Loss_D_fake -0.004337
[1712/5000][190/535][176726] Loss_D: -0.019155 Loss_G: -0.006430 Loss_D_real: -0.002248 Loss_D_fake 0.016907
[1712/5000][195/535][176727] Loss_D: -0.017273 Loss_G: 0.001600 Loss_D_real: -0.019284 Loss_D_fake -0.002012
[1712/5000][200/535][176728] Loss_D: -0.018344 Loss_G: 0.010036 Loss_D_real: -0.010962 Loss_D_fake 0.007382
[1712/5000][205/535][176729] Loss_D: -0.019205 Loss_G: -0.002751 Loss_D_real: -0.017928 Loss_D_fake 0.001277
[1712/5000][210/535][176730] Loss_D: -0.018736 Loss_G: -0.014275 Loss_D_real: -0.000771 Loss_D_fake 0.017964
[1712/5000][215/535][176731] Loss_D: -0.019342 Loss_G: 0.026173 Loss_D_real: -0.022776 Loss_D_fake -0.003434
[1712/5000][220/535][176732] Loss_D: -0.019269 Loss_G: 0.010091 Loss_D_real: -0.031944 Loss_D_fake -0.012676
[1712/5000][225/535][176733] Loss_D: -0.019638 Loss_G: -0.000716 Loss_D_real: -0.017229 Loss_D_fake 0.002408
[1712/5000][230/535][176734] Loss_D: -0.018764 Loss_G: 0.012265 Loss_D_real: -0.011234 Loss_D_fake 0.007530
[1712/5000][235/535][176735] Loss_D: -0.018465 Loss_G: 0.006346 Loss_D_real: -0.037467 Loss_D_fake -0.019003
[1712/5000][240/535][176736] Loss_D: -0.018733 Loss_G: -0.014644 Loss_D_real: 0.003399 Loss_D_fake 0.022132
[1712/5000][245/535][176737] Loss_D: -0.018769 Loss_G: 0.001671 Loss_D_real: -0.010513 Loss_D_fake 0.008256
[1712/5000][250/535][176738] Loss_D: -0.019778 Loss_G: -0.000075 Loss_D_real: -0.006816 Loss_D_fake 0.012962
[1712/5000][255/535][176739] Loss_D: -0.018021 Loss_G: -0.000404 Loss_D_real: 0.002676 Loss_D_fake 0.020697
[1712/5000][260/535][176740] Loss_D: -0.019552 Loss_G: 0.015721 Loss_D_real: -0.012902 Loss_D_fake 0.006649
[1712/5000][265/535][176741] Loss_D: -0.020121 Loss_G: 0.004223 Loss_D_real: -0.004459 Loss_D_fake 0.015662
[1712/5000][270/535][176742] Loss_D: -0.017882 Loss_G: -0.002938 Loss_D_real: -0.000966 Loss_D_fake 0.016916
[1712/5000][275/535][176743] Loss_D: -0.019127 Loss_G: -0.000297 Loss_D_real: -0.003110 Loss_D_fake 0.016018
[1712/5000][280/535][176744] Loss_D: -0.018569 Loss_G: 0.003443 Loss_D_real: -0.015336 Loss_D_fake 0.003232
[1712/5000][285/535][176745] Loss_D: -0.019086 Loss_G: 0.020376 Loss_D_real: -0.018429 Loss_D_fake 0.000657
[1712/5000][290/535][176746] Loss_D: -0.017824 Loss_G: 0.010910 Loss_D_real: -0.021748 Loss_D_fake -0.003924
[1712/5000][295/535][176747] Loss_D: -0.017083 Loss_G: 0.030515 Loss_D_real: -0.026661 Loss_D_fake -0.009578
[1712/5000][300/535][176748] Loss_D: -0.018561 Loss_G: 0.018280 Loss_D_real: -0.028119 Loss_D_fake -0.009558
[1712/5000][305/535][176749] Loss_D: -0.018813 Loss_G: 0.015034 Loss_D_real: -0.024504 Loss_D_fake -0.005692
[1712/5000][310/535][176750] Loss_D: -0.018525 Loss_G: 0.007769 Loss_D_real: -0.023551 Loss_D_fake -0.005026
[1712/5000][315/535][176751] Loss_D: -0.018348 Loss_G: -0.024422 Loss_D_real: -0.000522 Loss_D_fake 0.017826
[1712/5000][320/535][176752] Loss_D: -0.017614 Loss_G: -0.011291 Loss_D_real: 0.003735 Loss_D_fake 0.021349
[1712/5000][325/535][176753] Loss_D: -0.018076 Loss_G: -0.000358 Loss_D_real: -0.010882 Loss_D_fake 0.007194
[1712/5000][330/535][176754] Loss_D: -0.018269 Loss_G: -0.007268 Loss_D_real: -0.018621 Loss_D_fake -0.000352
[1712/5000][335/535][176755] Loss_D: -0.018661 Loss_G: 0.002980 Loss_D_real: -0.018798 Loss_D_fake -0.000137
[1712/5000][340/535][176756] Loss_D: -0.018253 Loss_G: 0.011696 Loss_D_real: -0.016693 Loss_D_fake 0.001561
[1712/5000][345/535][176757] Loss_D: -0.019384 Loss_G: 0.007533 Loss_D_real: -0.005619 Loss_D_fake 0.013765
[1712/5000][350/535][176758] Loss_D: -0.019724 Loss_G: 0.014924 Loss_D_real: -0.014162 Loss_D_fake 0.005562
[1712/5000][355/535][176759] Loss_D: -0.018141 Loss_G: -0.002956 Loss_D_real: -0.019772 Loss_D_fake -0.001631
[1712/5000][360/535][176760] Loss_D: -0.020552 Loss_G: -0.000453 Loss_D_real: -0.010743 Loss_D_fake 0.009810
[1712/5000][365/535][176761] Loss_D: -0.020360 Loss_G: 0.009379 Loss_D_real: -0.008607 Loss_D_fake 0.011752
[1712/5000][370/535][176762] Loss_D: -0.018982 Loss_G: 0.007972 Loss_D_real: -0.017110 Loss_D_fake 0.001872
[1712/5000][375/535][176763] Loss_D: -0.019340 Loss_G: 0.014574 Loss_D_real: -0.016293 Loss_D_fake 0.003047
[1712/5000][380/535][176764] Loss_D: -0.018248 Loss_G: 0.014926 Loss_D_real: -0.011173 Loss_D_fake 0.007075
[1712/5000][385/535][176765] Loss_D: -0.018294 Loss_G: 0.021815 Loss_D_real: -0.019945 Loss_D_fake -0.001652
[1712/5000][390/535][176766] Loss_D: -0.018597 Loss_G: 0.000206 Loss_D_real: -0.006289 Loss_D_fake 0.012308
[1712/5000][395/535][176767] Loss_D: -0.016156 Loss_G: -0.021233 Loss_D_real: 0.006464 Loss_D_fake 0.022620
[1712/5000][400/535][176768] Loss_D: -0.016485 Loss_G: 0.012689 Loss_D_real: -0.027089 Loss_D_fake -0.010604
[1712/5000][405/535][176769] Loss_D: -0.016092 Loss_G: -0.014138 Loss_D_real: 0.002716 Loss_D_fake 0.018808
[1712/5000][410/535][176770] Loss_D: -0.016880 Loss_G: 0.017497 Loss_D_real: -0.021512 Loss_D_fake -0.004632
[1712/5000][415/535][176771] Loss_D: -0.017308 Loss_G: 0.016575 Loss_D_real: -0.030409 Loss_D_fake -0.013101
[1712/5000][420/535][176772] Loss_D: -0.018832 Loss_G: -0.010324 Loss_D_real: -0.007956 Loss_D_fake 0.010875
[1712/5000][425/535][176773] Loss_D: -0.019216 Loss_G: 0.014404 Loss_D_real: -0.016186 Loss_D_fake 0.003030
[1712/5000][430/535][176774] Loss_D: -0.017937 Loss_G: 0.021506 Loss_D_real: -0.022780 Loss_D_fake -0.004843
[1712/5000][435/535][176775] Loss_D: -0.017079 Loss_G: -0.000824 Loss_D_real: -0.007559 Loss_D_fake 0.009521
[1712/5000][440/535][176776] Loss_D: -0.017954 Loss_G: 0.007917 Loss_D_real: -0.017998 Loss_D_fake -0.000044
[1712/5000][445/535][176777] Loss_D: -0.018741 Loss_G: 0.011400 Loss_D_real: -0.000187 Loss_D_fake 0.018555
[1712/5000][450/535][176778] Loss_D: -0.018235 Loss_G: -0.005538 Loss_D_real: -0.001844 Loss_D_fake 0.016391
[1712/5000][455/535][176779] Loss_D: -0.018809 Loss_G: 0.010302 Loss_D_real: -0.018083 Loss_D_fake 0.000726
[1712/5000][460/535][176780] Loss_D: -0.018561 Loss_G: -0.003963 Loss_D_real: -0.003710 Loss_D_fake 0.014850
[1712/5000][465/535][176781] Loss_D: -0.015614 Loss_G: 0.017914 Loss_D_real: -0.019094 Loss_D_fake -0.003480
[1712/5000][470/535][176782] Loss_D: -0.018506 Loss_G: -0.005711 Loss_D_real: -0.011214 Loss_D_fake 0.007292
[1712/5000][475/535][176783] Loss_D: -0.017656 Loss_G: -0.007584 Loss_D_real: -0.014909 Loss_D_fake 0.002747
[1712/5000][480/535][176784] Loss_D: -0.018076 Loss_G: 0.013054 Loss_D_real: -0.014523 Loss_D_fake 0.003553
[1712/5000][485/535][176785] Loss_D: -0.017991 Loss_G: 0.017951 Loss_D_real: -0.023234 Loss_D_fake -0.005243
[1712/5000][490/535][176786] Loss_D: -0.018053 Loss_G: 0.013954 Loss_D_real: -0.022515 Loss_D_fake -0.004463
[1712/5000][495/535][176787] Loss_D: -0.018183 Loss_G: -0.004896 Loss_D_real: -0.010056 Loss_D_fake 0.008127
[1712/5000][500/535][176788] Loss_D: -0.017763 Loss_G: 0.004649 Loss_D_real: -0.011889 Loss_D_fake 0.005874
[1712/5000][505/535][176789] Loss_D: -0.019315 Loss_G: -0.004962 Loss_D_real: -0.022224 Loss_D_fake -0.002909
[1712/5000][510/535][176790] Loss_D: -0.020127 Loss_G: 0.021408 Loss_D_real: -0.015820 Loss_D_fake 0.004307
[1712/5000][515/535][176791] Loss_D: -0.017615 Loss_G: 0.000857 Loss_D_real: -0.013969 Loss_D_fake 0.003646
[1712/5000][520/535][176792] Loss_D: -0.016866 Loss_G: -0.008789 Loss_D_real: 0.009620 Loss_D_fake 0.026485
[1712/5000][525/535][176793] Loss_D: -0.017804 Loss_G: 0.003999 Loss_D_real: -0.019560 Loss_D_fake -0.001757
[1712/5000][530/535][176794] Loss_D: -0.017641 Loss_G: -0.000833 Loss_D_real: 0.002110 Loss_D_fake 0.019752
[1712/5000][535/535][176795] Loss_D: -0.018749 Loss_G: -0.013513 Loss_D_real: -0.026064 Loss_D_fake -0.007315
[1713/5000][5/535][176796] Loss_D: -0.020085 Loss_G: -0.006008 Loss_D_real: -0.001956 Loss_D_fake 0.018129
[1713/5000][10/535][176797] Loss_D: -0.018298 Loss_G: 0.010395 Loss_D_real: -0.005075 Loss_D_fake 0.013223
[1713/5000][15/535][176798] Loss_D: -0.018609 Loss_G: 0.002561 Loss_D_real: -0.010317 Loss_D_fake 0.008293
[1713/5000][20/535][176799] Loss_D: -0.018618 Loss_G: 0.021063 Loss_D_real: -0.027774 Loss_D_fake -0.009157
[1713/5000][25/535][176800] Loss_D: -0.017076 Loss_G: 0.000424 Loss_D_real: -0.005940 Loss_D_fake 0.011136
[1713/5000][30/535][176801] Loss_D: -0.018640 Loss_G: -0.006444 Loss_D_real: -0.029117 Loss_D_fake -0.010476
[1713/5000][35/535][176802] Loss_D: -0.018393 Loss_G: -0.000047 Loss_D_real: 0.001889 Loss_D_fake 0.020281
[1713/5000][40/535][176803] Loss_D: -0.017410 Loss_G: 0.025942 Loss_D_real: -0.018457 Loss_D_fake -0.001047
[1713/5000][45/535][176804] Loss_D: -0.017296 Loss_G: -0.010767 Loss_D_real: -0.000800 Loss_D_fake 0.016496
[1713/5000][50/535][176805] Loss_D: -0.018191 Loss_G: -0.001192 Loss_D_real: -0.009073 Loss_D_fake 0.009118
[1713/5000][55/535][176806] Loss_D: -0.016430 Loss_G: -0.007058 Loss_D_real: -0.005349 Loss_D_fake 0.011081
[1713/5000][60/535][176807] Loss_D: -0.017878 Loss_G: 0.024065 Loss_D_real: -0.022380 Loss_D_fake -0.004501
[1713/5000][65/535][176808] Loss_D: -0.016786 Loss_G: 0.025450 Loss_D_real: -0.021025 Loss_D_fake -0.004240
[1713/5000][70/535][176809] Loss_D: -0.018837 Loss_G: 0.005299 Loss_D_real: -0.019200 Loss_D_fake -0.000363
[1713/5000][75/535][176810] Loss_D: -0.019655 Loss_G: -0.016244 Loss_D_real: -0.008349 Loss_D_fake 0.011306
[1713/5000][80/535][176811] Loss_D: -0.019459 Loss_G: 0.012817 Loss_D_real: -0.021169 Loss_D_fake -0.001710
[1713/5000][85/535][176812] Loss_D: -0.017773 Loss_G: -0.011212 Loss_D_real: 0.004728 Loss_D_fake 0.022502
[1713/5000][90/535][176813] Loss_D: -0.018440 Loss_G: -0.004464 Loss_D_real: -0.003080 Loss_D_fake 0.015359
[1713/5000][95/535][176814] Loss_D: -0.018969 Loss_G: 0.010016 Loss_D_real: -0.016834 Loss_D_fake 0.002135
[1713/5000][100/535][176815] Loss_D: -0.018831 Loss_G: 0.006397 Loss_D_real: -0.012209 Loss_D_fake 0.006623
[1713/5000][105/535][176816] Loss_D: -0.018840 Loss_G: 0.018977 Loss_D_real: -0.022503 Loss_D_fake -0.003663
[1713/5000][110/535][176817] Loss_D: -0.018615 Loss_G: 0.009052 Loss_D_real: -0.027780 Loss_D_fake -0.009165
[1713/5000][115/535][176818] Loss_D: -0.017828 Loss_G: -0.018488 Loss_D_real: 0.006819 Loss_D_fake 0.024647
[1713/5000][120/535][176819] Loss_D: -0.018802 Loss_G: 0.016875 Loss_D_real: -0.022315 Loss_D_fake -0.003513
[1713/5000][125/535][176820] Loss_D: -0.019155 Loss_G: 0.021224 Loss_D_real: -0.022451 Loss_D_fake -0.003295
[1713/5000][130/535][176821] Loss_D: -0.017448 Loss_G: 0.009463 Loss_D_real: -0.018745 Loss_D_fake -0.001297
[1713/5000][135/535][176822] Loss_D: -0.019533 Loss_G: 0.001514 Loss_D_real: 0.006104 Loss_D_fake 0.025637
[1713/5000][140/535][176823] Loss_D: -0.018777 Loss_G: 0.001957 Loss_D_real: -0.015924 Loss_D_fake 0.002853
[1713/5000][145/535][176824] Loss_D: -0.019062 Loss_G: 0.005739 Loss_D_real: -0.023042 Loss_D_fake -0.003980
[1713/5000][150/535][176825] Loss_D: -0.018811 Loss_G: -0.011845 Loss_D_real: -0.006440 Loss_D_fake 0.012371
[1713/5000][155/535][176826] Loss_D: -0.018254 Loss_G: 0.022352 Loss_D_real: -0.027236 Loss_D_fake -0.008982
[1713/5000][160/535][176827] Loss_D: -0.018763 Loss_G: -0.011107 Loss_D_real: 0.000194 Loss_D_fake 0.018957
[1713/5000][165/535][176828] Loss_D: -0.018473 Loss_G: 0.003377 Loss_D_real: -0.000017 Loss_D_fake 0.018456
[1713/5000][170/535][176829] Loss_D: -0.019897 Loss_G: 0.007168 Loss_D_real: -0.022468 Loss_D_fake -0.002571
[1713/5000][175/535][176830] Loss_D: -0.017600 Loss_G: -0.016548 Loss_D_real: 0.001678 Loss_D_fake 0.019278
[1713/5000][180/535][176831] Loss_D: -0.017924 Loss_G: 0.007949 Loss_D_real: -0.019158 Loss_D_fake -0.001234
[1713/5000][185/535][176832] Loss_D: -0.017757 Loss_G: -0.011062 Loss_D_real: 0.001100 Loss_D_fake 0.018857
[1713/5000][190/535][176833] Loss_D: -0.017621 Loss_G: 0.019125 Loss_D_real: -0.022948 Loss_D_fake -0.005326
[1713/5000][195/535][176834] Loss_D: -0.017305 Loss_G: 0.008170 Loss_D_real: -0.029791 Loss_D_fake -0.012486
[1713/5000][200/535][176835] Loss_D: -0.017776 Loss_G: -0.000555 Loss_D_real: -0.007438 Loss_D_fake 0.010338
[1713/5000][205/535][176836] Loss_D: -0.018852 Loss_G: -0.007726 Loss_D_real: -0.017090 Loss_D_fake 0.001762
[1713/5000][210/535][176837] Loss_D: -0.018800 Loss_G: 0.011126 Loss_D_real: -0.003164 Loss_D_fake 0.015636
[1713/5000][215/535][176838] Loss_D: -0.018542 Loss_G: 0.019305 Loss_D_real: -0.016700 Loss_D_fake 0.001842
[1713/5000][220/535][176839] Loss_D: -0.019633 Loss_G: 0.017644 Loss_D_real: -0.017209 Loss_D_fake 0.002424
[1713/5000][225/535][176840] Loss_D: -0.017796 Loss_G: 0.026758 Loss_D_real: -0.025569 Loss_D_fake -0.007774
[1713/5000][230/535][176841] Loss_D: -0.019689 Loss_G: 0.016198 Loss_D_real: -0.024731 Loss_D_fake -0.005042
[1713/5000][235/535][176842] Loss_D: -0.018608 Loss_G: 0.013107 Loss_D_real: -0.025454 Loss_D_fake -0.006846
[1713/5000][240/535][176843] Loss_D: -0.019080 Loss_G: 0.012384 Loss_D_real: -0.027022 Loss_D_fake -0.007943
[1713/5000][245/535][176844] Loss_D: -0.018727 Loss_G: 0.010893 Loss_D_real: -0.013648 Loss_D_fake 0.005079
[1713/5000][250/535][176845] Loss_D: -0.018558 Loss_G: -0.005488 Loss_D_real: -0.004862 Loss_D_fake 0.013697
[1713/5000][255/535][176846] Loss_D: -0.019366 Loss_G: 0.004590 Loss_D_real: -0.023482 Loss_D_fake -0.004116
[1713/5000][260/535][176847] Loss_D: -0.018499 Loss_G: 0.021042 Loss_D_real: -0.032007 Loss_D_fake -0.013508
[1713/5000][265/535][176848] Loss_D: -0.018333 Loss_G: -0.001919 Loss_D_real: 0.006563 Loss_D_fake 0.024896
[1713/5000][270/535][176849] Loss_D: -0.018257 Loss_G: -0.003251 Loss_D_real: -0.017138 Loss_D_fake 0.001120
[1713/5000][275/535][176850] Loss_D: -0.018527 Loss_G: 0.008282 Loss_D_real: -0.009426 Loss_D_fake 0.009101
[1713/5000][280/535][176851] Loss_D: -0.019182 Loss_G: 0.009986 Loss_D_real: -0.011887 Loss_D_fake 0.007296
[1713/5000][285/535][176852] Loss_D: -0.018434 Loss_G: 0.012500 Loss_D_real: -0.021891 Loss_D_fake -0.003457
[1713/5000][290/535][176853] Loss_D: -0.019398 Loss_G: 0.016641 Loss_D_real: -0.010347 Loss_D_fake 0.009051
[1713/5000][295/535][176854] Loss_D: -0.017621 Loss_G: 0.004913 Loss_D_real: -0.017375 Loss_D_fake 0.000246
[1713/5000][300/535][176855] Loss_D: -0.017851 Loss_G: 0.006880 Loss_D_real: -0.009983 Loss_D_fake 0.007868
[1713/5000][305/535][176856] Loss_D: -0.018188 Loss_G: 0.016970 Loss_D_real: -0.026924 Loss_D_fake -0.008736
[1713/5000][310/535][176857] Loss_D: -0.018336 Loss_G: 0.004324 Loss_D_real: -0.006490 Loss_D_fake 0.011846
[1713/5000][315/535][176858] Loss_D: -0.019018 Loss_G: 0.004422 Loss_D_real: -0.007278 Loss_D_fake 0.011741
[1713/5000][320/535][176859] Loss_D: -0.019131 Loss_G: 0.007395 Loss_D_real: -0.016996 Loss_D_fake 0.002136
[1713/5000][325/535][176860] Loss_D: -0.018891 Loss_G: -0.005206 Loss_D_real: 0.000889 Loss_D_fake 0.019781
[1713/5000][330/535][176861] Loss_D: -0.017741 Loss_G: 0.001936 Loss_D_real: -0.028662 Loss_D_fake -0.010922
[1713/5000][335/535][176862] Loss_D: -0.018744 Loss_G: 0.015720 Loss_D_real: -0.017218 Loss_D_fake 0.001526
[1713/5000][340/535][176863] Loss_D: -0.019398 Loss_G: 0.008495 Loss_D_real: -0.016907 Loss_D_fake 0.002491
[1713/5000][345/535][176864] Loss_D: -0.018348 Loss_G: 0.012576 Loss_D_real: -0.020410 Loss_D_fake -0.002062
[1713/5000][350/535][176865] Loss_D: -0.017843 Loss_G: 0.026897 Loss_D_real: -0.021015 Loss_D_fake -0.003172
[1713/5000][355/535][176866] Loss_D: -0.019205 Loss_G: 0.018013 Loss_D_real: -0.023453 Loss_D_fake -0.004248
[1713/5000][360/535][176867] Loss_D: -0.019067 Loss_G: -0.007725 Loss_D_real: -0.009897 Loss_D_fake 0.009171
[1713/5000][365/535][176868] Loss_D: -0.018599 Loss_G: 0.025757 Loss_D_real: -0.012757 Loss_D_fake 0.005842
[1713/5000][370/535][176869] Loss_D: -0.017756 Loss_G: 0.016238 Loss_D_real: -0.006197 Loss_D_fake 0.011559
[1713/5000][375/535][176870] Loss_D: -0.018354 Loss_G: 0.017274 Loss_D_real: -0.017005 Loss_D_fake 0.001349
[1713/5000][380/535][176871] Loss_D: -0.020455 Loss_G: 0.015471 Loss_D_real: -0.008438 Loss_D_fake 0.012017
[1713/5000][385/535][176872] Loss_D: -0.018891 Loss_G: -0.013061 Loss_D_real: 0.002341 Loss_D_fake 0.021232
[1713/5000][390/535][176873] Loss_D: -0.019051 Loss_G: 0.007095 Loss_D_real: -0.011723 Loss_D_fake 0.007328
[1713/5000][395/535][176874] Loss_D: -0.019212 Loss_G: 0.004433 Loss_D_real: -0.020582 Loss_D_fake -0.001369
[1713/5000][400/535][176875] Loss_D: -0.019215 Loss_G: 0.006904 Loss_D_real: -0.016108 Loss_D_fake 0.003108
[1713/5000][405/535][176876] Loss_D: -0.018790 Loss_G: 0.023010 Loss_D_real: -0.020709 Loss_D_fake -0.001920
[1713/5000][410/535][176877] Loss_D: -0.019220 Loss_G: -0.013372 Loss_D_real: -0.003310 Loss_D_fake 0.015910
[1713/5000][415/535][176878] Loss_D: -0.019094 Loss_G: -0.004418 Loss_D_real: -0.009230 Loss_D_fake 0.009864
[1713/5000][420/535][176879] Loss_D: -0.017039 Loss_G: -0.010791 Loss_D_real: 0.005745 Loss_D_fake 0.022784
[1713/5000][425/535][176880] Loss_D: -0.018033 Loss_G: -0.005194 Loss_D_real: -0.011970 Loss_D_fake 0.006063
[1713/5000][430/535][176881] Loss_D: -0.018026 Loss_G: 0.019653 Loss_D_real: -0.021772 Loss_D_fake -0.003746
[1713/5000][435/535][176882] Loss_D: -0.018595 Loss_G: 0.014906 Loss_D_real: -0.020284 Loss_D_fake -0.001689
[1713/5000][440/535][176883] Loss_D: -0.020031 Loss_G: 0.006278 Loss_D_real: -0.015868 Loss_D_fake 0.004163
[1713/5000][445/535][176884] Loss_D: -0.017445 Loss_G: -0.017502 Loss_D_real: -0.001851 Loss_D_fake 0.015595
[1713/5000][450/535][176885] Loss_D: -0.018010 Loss_G: 0.016322 Loss_D_real: -0.021944 Loss_D_fake -0.003935
[1713/5000][455/535][176886] Loss_D: -0.018942 Loss_G: 0.005775 Loss_D_real: -0.003857 Loss_D_fake 0.015085
[1713/5000][460/535][176887] Loss_D: -0.019768 Loss_G: -0.005927 Loss_D_real: 0.006579 Loss_D_fake 0.026347
[1713/5000][465/535][176888] Loss_D: -0.017943 Loss_G: -0.003567 Loss_D_real: -0.018767 Loss_D_fake -0.000824
[1713/5000][470/535][176889] Loss_D: -0.017808 Loss_G: 0.016684 Loss_D_real: -0.035687 Loss_D_fake -0.017879
[1713/5000][475/535][176890] Loss_D: -0.019120 Loss_G: 0.003418 Loss_D_real: -0.025794 Loss_D_fake -0.006674
[1713/5000][480/535][176891] Loss_D: -0.018965 Loss_G: 0.029679 Loss_D_real: -0.016451 Loss_D_fake 0.002514
[1713/5000][485/535][176892] Loss_D: -0.019502 Loss_G: 0.008473 Loss_D_real: -0.025482 Loss_D_fake -0.005980
[1713/5000][490/535][176893] Loss_D: -0.018856 Loss_G: -0.014578 Loss_D_real: -0.004281 Loss_D_fake 0.014575
[1713/5000][495/535][176894] Loss_D: -0.017872 Loss_G: -0.006392 Loss_D_real: -0.016938 Loss_D_fake 0.000934
[1713/5000][500/535][176895] Loss_D: -0.017479 Loss_G: 0.016297 Loss_D_real: -0.024528 Loss_D_fake -0.007049
[1713/5000][505/535][176896] Loss_D: -0.016946 Loss_G: 0.009568 Loss_D_real: -0.009339 Loss_D_fake 0.007607
[1713/5000][510/535][176897] Loss_D: -0.018770 Loss_G: 0.006613 Loss_D_real: -0.001782 Loss_D_fake 0.016988
[1713/5000][515/535][176898] Loss_D: -0.015091 Loss_G: -0.012887 Loss_D_real: 0.019371 Loss_D_fake 0.034462
[1713/5000][520/535][176899] Loss_D: -0.019253 Loss_G: 0.022517 Loss_D_real: -0.018542 Loss_D_fake 0.000711
[1713/5000][525/535][176900] Loss_D: -0.018032 Loss_G: -0.002622 Loss_D_real: -0.008244 Loss_D_fake 0.009788
[1713/5000][530/535][176901] Loss_D: -0.017526 Loss_G: 0.003847 Loss_D_real: -0.012085 Loss_D_fake 0.005440
[1713/5000][535/535][176902] Loss_D: -0.019377 Loss_G: 0.018609 Loss_D_real: -0.025335 Loss_D_fake -0.005959
[1714/5000][5/535][176903] Loss_D: -0.018400 Loss_G: 0.001424 Loss_D_real: -0.004902 Loss_D_fake 0.013498
[1714/5000][10/535][176904] Loss_D: -0.018225 Loss_G: 0.004659 Loss_D_real: -0.017093 Loss_D_fake 0.001132
[1714/5000][15/535][176905] Loss_D: -0.018654 Loss_G: 0.024505 Loss_D_real: -0.021944 Loss_D_fake -0.003290
[1714/5000][20/535][176906] Loss_D: -0.017253 Loss_G: -0.009926 Loss_D_real: 0.011439 Loss_D_fake 0.028692
[1714/5000][25/535][176907] Loss_D: -0.018837 Loss_G: 0.024214 Loss_D_real: -0.014917 Loss_D_fake 0.003920
[1714/5000][30/535][176908] Loss_D: -0.018505 Loss_G: -0.001457 Loss_D_real: 0.001409 Loss_D_fake 0.019914
[1714/5000][35/535][176909] Loss_D: -0.018804 Loss_G: 0.005033 Loss_D_real: -0.007883 Loss_D_fake 0.010921
[1714/5000][40/535][176910] Loss_D: -0.019002 Loss_G: 0.021686 Loss_D_real: -0.016776 Loss_D_fake 0.002226
[1714/5000][45/535][176911] Loss_D: -0.018864 Loss_G: 0.008361 Loss_D_real: -0.027312 Loss_D_fake -0.008448
[1714/5000][50/535][176912] Loss_D: -0.018047 Loss_G: 0.011929 Loss_D_real: -0.028735 Loss_D_fake -0.010688
[1714/5000][55/535][176913] Loss_D: -0.018021 Loss_G: 0.002540 Loss_D_real: -0.015218 Loss_D_fake 0.002803
[1714/5000][60/535][176914] Loss_D: -0.019148 Loss_G: -0.015615 Loss_D_real: -0.005837 Loss_D_fake 0.013311
[1714/5000][65/535][176915] Loss_D: -0.017719 Loss_G: -0.006217 Loss_D_real: -0.002878 Loss_D_fake 0.014841
[1714/5000][70/535][176916] Loss_D: -0.017198 Loss_G: 0.010044 Loss_D_real: -0.005474 Loss_D_fake 0.011725
[1714/5000][75/535][176917] Loss_D: -0.016869 Loss_G: -0.013015 Loss_D_real: 0.010594 Loss_D_fake 0.027463
[1714/5000][80/535][176918] Loss_D: -0.018351 Loss_G: 0.017417 Loss_D_real: -0.010185 Loss_D_fake 0.008166
[1714/5000][85/535][176919] Loss_D: -0.017805 Loss_G: 0.014637 Loss_D_real: -0.022795 Loss_D_fake -0.004990
[1714/5000][90/535][176920] Loss_D: -0.018088 Loss_G: -0.006612 Loss_D_real: -0.007672 Loss_D_fake 0.010415
[1714/5000][95/535][176921] Loss_D: -0.019394 Loss_G: 0.001653 Loss_D_real: -0.002246 Loss_D_fake 0.017148
[1714/5000][100/535][176922] Loss_D: -0.018998 Loss_G: -0.000913 Loss_D_real: -0.007502 Loss_D_fake 0.011496
[1714/5000][105/535][176923] Loss_D: -0.019278 Loss_G: 0.009314 Loss_D_real: -0.023277 Loss_D_fake -0.003999
[1714/5000][110/535][176924] Loss_D: -0.019830 Loss_G: 0.011585 Loss_D_real: -0.013534 Loss_D_fake 0.006296
[1714/5000][115/535][176925] Loss_D: -0.018588 Loss_G: 0.016286 Loss_D_real: -0.019908 Loss_D_fake -0.001320
[1714/5000][120/535][176926] Loss_D: -0.019744 Loss_G: -0.000020 Loss_D_real: -0.010121 Loss_D_fake 0.009624
[1714/5000][125/535][176927] Loss_D: -0.018531 Loss_G: 0.014203 Loss_D_real: -0.023646 Loss_D_fake -0.005115
[1714/5000][130/535][176928] Loss_D: -0.018829 Loss_G: 0.006943 Loss_D_real: -0.012484 Loss_D_fake 0.006345
[1714/5000][135/535][176929] Loss_D: -0.017969 Loss_G: 0.000475 Loss_D_real: -0.010997 Loss_D_fake 0.006972
[1714/5000][140/535][176930] Loss_D: -0.018151 Loss_G: 0.014589 Loss_D_real: -0.020485 Loss_D_fake -0.002334
[1714/5000][145/535][176931] Loss_D: -0.019171 Loss_G: 0.013380 Loss_D_real: -0.025110 Loss_D_fake -0.005939
[1714/5000][150/535][176932] Loss_D: -0.018523 Loss_G: -0.015794 Loss_D_real: -0.004122 Loss_D_fake 0.014401
[1714/5000][155/535][176933] Loss_D: -0.017457 Loss_G: -0.002547 Loss_D_real: -0.007055 Loss_D_fake 0.010402
[1714/5000][160/535][176934] Loss_D: -0.019212 Loss_G: 0.014033 Loss_D_real: -0.012953 Loss_D_fake 0.006260
[1714/5000][165/535][176935] Loss_D: -0.019210 Loss_G: -0.001114 Loss_D_real: 0.000111 Loss_D_fake 0.019321
[1714/5000][170/535][176936] Loss_D: -0.018955 Loss_G: 0.012912 Loss_D_real: -0.011330 Loss_D_fake 0.007625
[1714/5000][175/535][176937] Loss_D: -0.021678 Loss_G: 0.009254 Loss_D_real: -0.016588 Loss_D_fake 0.005090
[1714/5000][180/535][176938] Loss_D: -0.019832 Loss_G: 0.018224 Loss_D_real: -0.009848 Loss_D_fake 0.009984
[1714/5000][185/535][176939] Loss_D: -0.020114 Loss_G: 0.016994 Loss_D_real: -0.025703 Loss_D_fake -0.005589
[1714/5000][190/535][176940] Loss_D: -0.018651 Loss_G: 0.017226 Loss_D_real: -0.021891 Loss_D_fake -0.003239
[1714/5000][195/535][176941] Loss_D: -0.018628 Loss_G: -0.012433 Loss_D_real: -0.011049 Loss_D_fake 0.007578
[1714/5000][200/535][176942] Loss_D: -0.019718 Loss_G: -0.008913 Loss_D_real: -0.018269 Loss_D_fake 0.001449
[1714/5000][205/535][176943] Loss_D: -0.019588 Loss_G: 0.015328 Loss_D_real: -0.017484 Loss_D_fake 0.002104
[1714/5000][210/535][176944] Loss_D: -0.018876 Loss_G: 0.019753 Loss_D_real: -0.021959 Loss_D_fake -0.003083
[1714/5000][215/535][176945] Loss_D: -0.018642 Loss_G: -0.010372 Loss_D_real: -0.008006 Loss_D_fake 0.010636
[1714/5000][220/535][176946] Loss_D: -0.018621 Loss_G: 0.003376 Loss_D_real: 0.001142 Loss_D_fake 0.019763
[1714/5000][225/535][176947] Loss_D: -0.017401 Loss_G: 0.018740 Loss_D_real: -0.013288 Loss_D_fake 0.004114
[1714/5000][230/535][176948] Loss_D: -0.018742 Loss_G: 0.005713 Loss_D_real: -0.013729 Loss_D_fake 0.005013
[1714/5000][235/535][176949] Loss_D: -0.018082 Loss_G: 0.029255 Loss_D_real: -0.035613 Loss_D_fake -0.017531
[1714/5000][240/535][176950] Loss_D: -0.018848 Loss_G: 0.008090 Loss_D_real: -0.008131 Loss_D_fake 0.010717
[1714/5000][245/535][176951] Loss_D: -0.019408 Loss_G: -0.005128 Loss_D_real: -0.003495 Loss_D_fake 0.015914
[1714/5000][250/535][176952] Loss_D: -0.018229 Loss_G: 0.023628 Loss_D_real: -0.025308 Loss_D_fake -0.007079
[1714/5000][255/535][176953] Loss_D: -0.017938 Loss_G: 0.019310 Loss_D_real: -0.034179 Loss_D_fake -0.016241
[1714/5000][260/535][176954] Loss_D: -0.017932 Loss_G: 0.021019 Loss_D_real: -0.019462 Loss_D_fake -0.001530
[1714/5000][265/535][176955] Loss_D: -0.018953 Loss_G: -0.002217 Loss_D_real: -0.018479 Loss_D_fake 0.000473
[1714/5000][270/535][176956] Loss_D: -0.019417 Loss_G: 0.014516 Loss_D_real: -0.006012 Loss_D_fake 0.013404
[1714/5000][275/535][176957] Loss_D: -0.019319 Loss_G: 0.012278 Loss_D_real: -0.015741 Loss_D_fake 0.003578
[1714/5000][280/535][176958] Loss_D: -0.018883 Loss_G: 0.006161 Loss_D_real: -0.009062 Loss_D_fake 0.009820
[1714/5000][285/535][176959] Loss_D: -0.018337 Loss_G: 0.003649 Loss_D_real: -0.018398 Loss_D_fake -0.000062
[1714/5000][290/535][176960] Loss_D: -0.019785 Loss_G: 0.020957 Loss_D_real: -0.021527 Loss_D_fake -0.001742
[1714/5000][295/535][176961] Loss_D: -0.018446 Loss_G: 0.000842 Loss_D_real: -0.024568 Loss_D_fake -0.006123
[1714/5000][300/535][176962] Loss_D: -0.018031 Loss_G: 0.003570 Loss_D_real: -0.021688 Loss_D_fake -0.003657
[1714/5000][305/535][176963] Loss_D: -0.017468 Loss_G: -0.022533 Loss_D_real: -0.006393 Loss_D_fake 0.011075
[1714/5000][310/535][176964] Loss_D: -0.017761 Loss_G: -0.011680 Loss_D_real: -0.006572 Loss_D_fake 0.011189
[1714/5000][315/535][176965] Loss_D: -0.018799 Loss_G: 0.006238 Loss_D_real: -0.008050 Loss_D_fake 0.010750
[1714/5000][320/535][176966] Loss_D: -0.018325 Loss_G: 0.015053 Loss_D_real: -0.026387 Loss_D_fake -0.008061
[1714/5000][325/535][176967] Loss_D: -0.019338 Loss_G: -0.001883 Loss_D_real: 0.004131 Loss_D_fake 0.023469
[1714/5000][330/535][176968] Loss_D: -0.018968 Loss_G: 0.006998 Loss_D_real: -0.011868 Loss_D_fake 0.007101
[1714/5000][335/535][176969] Loss_D: -0.018958 Loss_G: -0.010731 Loss_D_real: -0.008412 Loss_D_fake 0.010545
[1714/5000][340/535][176970] Loss_D: -0.017634 Loss_G: 0.011818 Loss_D_real: -0.027241 Loss_D_fake -0.009607
[1714/5000][345/535][176971] Loss_D: -0.017606 Loss_G: 0.021940 Loss_D_real: -0.021237 Loss_D_fake -0.003631
[1714/5000][350/535][176972] Loss_D: -0.019350 Loss_G: 0.004630 Loss_D_real: -0.022466 Loss_D_fake -0.003116
[1714/5000][355/535][176973] Loss_D: -0.017140 Loss_G: -0.006906 Loss_D_real: 0.002385 Loss_D_fake 0.019525
[1714/5000][360/535][176974] Loss_D: -0.017647 Loss_G: 0.002284 Loss_D_real: -0.019220 Loss_D_fake -0.001573
[1714/5000][365/535][176975] Loss_D: -0.018607 Loss_G: 0.002903 Loss_D_real: -0.017159 Loss_D_fake 0.001448
[1714/5000][370/535][176976] Loss_D: -0.018829 Loss_G: 0.010076 Loss_D_real: -0.019296 Loss_D_fake -0.000466
[1714/5000][375/535][176977] Loss_D: -0.018638 Loss_G: -0.005517 Loss_D_real: -0.021074 Loss_D_fake -0.002436
[1714/5000][380/535][176978] Loss_D: -0.018657 Loss_G: 0.010043 Loss_D_real: -0.010689 Loss_D_fake 0.007968
[1714/5000][385/535][176979] Loss_D: -0.018872 Loss_G: -0.003046 Loss_D_real: -0.008542 Loss_D_fake 0.010330
[1714/5000][390/535][176980] Loss_D: -0.019442 Loss_G: 0.013067 Loss_D_real: -0.020348 Loss_D_fake -0.000905
[1714/5000][395/535][176981] Loss_D: -0.017947 Loss_G: 0.020503 Loss_D_real: -0.019181 Loss_D_fake -0.001234
[1714/5000][400/535][176982] Loss_D: -0.020031 Loss_G: 0.001774 Loss_D_real: -0.017680 Loss_D_fake 0.002351
[1714/5000][405/535][176983] Loss_D: -0.019289 Loss_G: 0.009415 Loss_D_real: -0.018151 Loss_D_fake 0.001137
[1714/5000][410/535][176984] Loss_D: -0.018203 Loss_G: 0.015016 Loss_D_real: 0.001366 Loss_D_fake 0.019568
[1714/5000][415/535][176985] Loss_D: -0.019243 Loss_G: -0.007202 Loss_D_real: -0.010825 Loss_D_fake 0.008418
[1714/5000][420/535][176986] Loss_D: -0.018324 Loss_G: 0.015121 Loss_D_real: -0.017303 Loss_D_fake 0.001021
[1714/5000][425/535][176987] Loss_D: -0.015912 Loss_G: 0.022745 Loss_D_real: -0.021760 Loss_D_fake -0.005848
[1714/5000][430/535][176988] Loss_D: -0.019419 Loss_G: -0.000268 Loss_D_real: -0.005151 Loss_D_fake 0.014268
[1714/5000][435/535][176989] Loss_D: -0.016931 Loss_G: 0.003000 Loss_D_real: -0.014290 Loss_D_fake 0.002641
[1714/5000][440/535][176990] Loss_D: -0.018871 Loss_G: 0.004995 Loss_D_real: -0.007415 Loss_D_fake 0.011456
[1714/5000][445/535][176991] Loss_D: -0.017694 Loss_G: -0.003515 Loss_D_real: -0.000604 Loss_D_fake 0.017090
[1714/5000][450/535][176992] Loss_D: -0.018286 Loss_G: 0.015149 Loss_D_real: -0.023509 Loss_D_fake -0.005223
[1714/5000][455/535][176993] Loss_D: -0.018696 Loss_G: 0.007401 Loss_D_real: -0.019779 Loss_D_fake -0.001083
[1714/5000][460/535][176994] Loss_D: -0.018303 Loss_G: 0.020220 Loss_D_real: -0.032114 Loss_D_fake -0.013811
[1714/5000][465/535][176995] Loss_D: -0.016584 Loss_G: 0.026922 Loss_D_real: -0.022161 Loss_D_fake -0.005577
[1714/5000][470/535][176996] Loss_D: -0.020726 Loss_G: -0.006852 Loss_D_real: -0.017397 Loss_D_fake 0.003329
[1714/5000][475/535][176997] Loss_D: -0.018619 Loss_G: -0.011532 Loss_D_real: -0.000915 Loss_D_fake 0.017705
[1714/5000][480/535][176998] Loss_D: -0.019176 Loss_G: 0.008167 Loss_D_real: -0.025035 Loss_D_fake -0.005859
[1714/5000][485/535][176999] Loss_D: -0.019034 Loss_G: 0.018603 Loss_D_real: -0.025942 Loss_D_fake -0.006908
[1714/5000][490/535][177000] Loss_D: -0.019041 Loss_G: 0.017825 Loss_D_real: -0.017739 Loss_D_fake 0.001301
[1714/5000][535/535][177001] Loss_D: -0.023077 Loss_G: 0.014064 Loss_D_real: -0.009996 Loss_D_fake 0.013081
[1715/5000][5/535][177002] Loss_D: -0.017223 Loss_G: 0.002490 Loss_D_real: -0.013441 Loss_D_fake 0.003783
[1715/5000][10/535][177003] Loss_D: -0.017615 Loss_G: -0.002917 Loss_D_real: -0.007651 Loss_D_fake 0.009964
[1715/5000][15/535][177004] Loss_D: -0.018148 Loss_G: 0.004490 Loss_D_real: -0.009878 Loss_D_fake 0.008270
[1715/5000][20/535][177005] Loss_D: -0.017677 Loss_G: 0.005511 Loss_D_real: -0.016065 Loss_D_fake 0.001612
[1715/5000][25/535][177006] Loss_D: -0.018368 Loss_G: 0.002048 Loss_D_real: -0.013410 Loss_D_fake 0.004958
[1715/5000][30/535][177007] Loss_D: -0.018150 Loss_G: -0.010749 Loss_D_real: -0.008801 Loss_D_fake 0.009350
[1715/5000][35/535][177008] Loss_D: -0.017763 Loss_G: 0.010113 Loss_D_real: -0.017555 Loss_D_fake 0.000208
[1715/5000][40/535][177009] Loss_D: -0.019116 Loss_G: 0.027916 Loss_D_real: -0.025027 Loss_D_fake -0.005911
[1715/5000][45/535][177010] Loss_D: -0.017615 Loss_G: 0.012977 Loss_D_real: -0.014114 Loss_D_fake 0.003501
[1715/5000][50/535][177011] Loss_D: -0.017192 Loss_G: 0.003008 Loss_D_real: -0.010106 Loss_D_fake 0.007086
[1715/5000][55/535][177012] Loss_D: -0.018222 Loss_G: 0.017139 Loss_D_real: -0.029043 Loss_D_fake -0.010822
[1715/5000][60/535][177013] Loss_D: -0.018858 Loss_G: -0.000633 Loss_D_real: -0.007447 Loss_D_fake 0.011411
[1715/5000][65/535][177014] Loss_D: -0.016651 Loss_G: 0.022047 Loss_D_real: -0.028026 Loss_D_fake -0.011375
[1715/5000][70/535][177015] Loss_D: -0.019609 Loss_G: -0.005026 Loss_D_real: -0.018277 Loss_D_fake 0.001332
[1715/5000][75/535][177016] Loss_D: -0.016578 Loss_G: 0.010675 Loss_D_real: -0.028050 Loss_D_fake -0.011472
[1715/5000][80/535][177017] Loss_D: -0.019644 Loss_G: 0.020240 Loss_D_real: -0.007321 Loss_D_fake 0.012323
[1715/5000][85/535][177018] Loss_D: -0.019120 Loss_G: 0.014078 Loss_D_real: -0.009475 Loss_D_fake 0.009646
[1715/5000][90/535][177019] Loss_D: -0.018497 Loss_G: 0.021623 Loss_D_real: -0.013138 Loss_D_fake 0.005359
[1715/5000][95/535][177020] Loss_D: -0.018806 Loss_G: 0.010087 Loss_D_real: -0.009972 Loss_D_fake 0.008834
[1715/5000][100/535][177021] Loss_D: -0.019354 Loss_G: 0.013624 Loss_D_real: -0.030075 Loss_D_fake -0.010721
[1715/5000][105/535][177022] Loss_D: -0.019283 Loss_G: 0.014517 Loss_D_real: -0.008085 Loss_D_fake 0.011197
[1715/5000][110/535][177023] Loss_D: -0.019584 Loss_G: 0.003491 Loss_D_real: -0.026212 Loss_D_fake -0.006629
[1715/5000][115/535][177024] Loss_D: -0.019513 Loss_G: 0.011651 Loss_D_real: -0.015096 Loss_D_fake 0.004418
[1715/5000][120/535][177025] Loss_D: -0.018598 Loss_G: -0.012855 Loss_D_real: -0.006234 Loss_D_fake 0.012364
[1715/5000][125/535][177026] Loss_D: -0.015966 Loss_G: 0.031745 Loss_D_real: -0.031965 Loss_D_fake -0.015999
[1715/5000][130/535][177027] Loss_D: -0.018881 Loss_G: 0.002611 Loss_D_real: -0.021164 Loss_D_fake -0.002283
[1715/5000][135/535][177028] Loss_D: -0.018021 Loss_G: 0.011781 Loss_D_real: -0.018079 Loss_D_fake -0.000057
[1715/5000][140/535][177029] Loss_D: -0.018488 Loss_G: -0.009079 Loss_D_real: 0.000248 Loss_D_fake 0.018736
[1715/5000][145/535][177030] Loss_D: -0.018039 Loss_G: -0.010644 Loss_D_real: 0.002993 Loss_D_fake 0.021032
[1715/5000][150/535][177031] Loss_D: -0.018042 Loss_G: 0.000903 Loss_D_real: -0.006846 Loss_D_fake 0.011196
[1715/5000][155/535][177032] Loss_D: -0.016889 Loss_G: 0.015899 Loss_D_real: -0.039470 Loss_D_fake -0.022581
[1715/5000][160/535][177033] Loss_D: -0.018661 Loss_G: 0.028510 Loss_D_real: -0.017941 Loss_D_fake 0.000721
[1715/5000][165/535][177034] Loss_D: -0.017500 Loss_G: 0.023111 Loss_D_real: -0.016644 Loss_D_fake 0.000856
[1715/5000][170/535][177035] Loss_D: -0.018354 Loss_G: 0.002289 Loss_D_real: -0.006248 Loss_D_fake 0.012106
[1715/5000][175/535][177036] Loss_D: -0.017938 Loss_G: 0.005811 Loss_D_real: -0.023972 Loss_D_fake -0.006033
[1715/5000][180/535][177037] Loss_D: -0.017763 Loss_G: -0.011519 Loss_D_real: -0.004285 Loss_D_fake 0.013478
[1715/5000][185/535][177038] Loss_D: -0.018744 Loss_G: 0.015040 Loss_D_real: -0.021522 Loss_D_fake -0.002778
[1715/5000][190/535][177039] Loss_D: -0.020208 Loss_G: -0.008513 Loss_D_real: -0.003339 Loss_D_fake 0.016869
[1715/5000][195/535][177040] Loss_D: -0.018835 Loss_G: 0.004026 Loss_D_real: -0.019126 Loss_D_fake -0.000291
[1715/5000][200/535][177041] Loss_D: -0.018067 Loss_G: 0.004072 Loss_D_real: -0.019988 Loss_D_fake -0.001921
[1715/5000][205/535][177042] Loss_D: -0.018790 Loss_G: 0.019920 Loss_D_real: -0.027994 Loss_D_fake -0.009204
[1715/5000][210/535][177043] Loss_D: -0.018278 Loss_G: -0.010059 Loss_D_real: -0.008551 Loss_D_fake 0.009727
[1715/5000][215/535][177044] Loss_D: -0.019915 Loss_G: 0.005938 Loss_D_real: -0.002044 Loss_D_fake 0.017872
[1715/5000][220/535][177045] Loss_D: -0.019013 Loss_G: 0.003245 Loss_D_real: -0.003094 Loss_D_fake 0.015919
[1715/5000][225/535][177046] Loss_D: -0.016478 Loss_G: -0.024967 Loss_D_real: 0.003740 Loss_D_fake 0.020218
[1715/5000][230/535][177047] Loss_D: -0.017586 Loss_G: 0.012196 Loss_D_real: -0.025735 Loss_D_fake -0.008149
[1715/5000][235/535][177048] Loss_D: -0.018151 Loss_G: 0.017823 Loss_D_real: -0.026375 Loss_D_fake -0.008224
[1715/5000][240/535][177049] Loss_D: -0.017817 Loss_G: 0.009899 Loss_D_real: -0.014323 Loss_D_fake 0.003494
[1715/5000][245/535][177050] Loss_D: -0.016976 Loss_G: 0.025357 Loss_D_real: -0.035297 Loss_D_fake -0.018320
[1715/5000][250/535][177051] Loss_D: -0.018203 Loss_G: 0.001822 Loss_D_real: -0.009122 Loss_D_fake 0.009081
[1715/5000][255/535][177052] Loss_D: -0.019293 Loss_G: -0.000184 Loss_D_real: -0.018398 Loss_D_fake 0.000895
[1715/5000][260/535][177053] Loss_D: -0.018707 Loss_G: 0.001563 Loss_D_real: -0.017725 Loss_D_fake 0.000982
[1715/5000][265/535][177054] Loss_D: -0.017771 Loss_G: 0.001393 Loss_D_real: -0.011533 Loss_D_fake 0.006239
[1715/5000][270/535][177055] Loss_D: -0.018566 Loss_G: -0.004814 Loss_D_real: -0.008285 Loss_D_fake 0.010281
[1715/5000][275/535][177056] Loss_D: -0.019146 Loss_G: 0.003107 Loss_D_real: -0.006896 Loss_D_fake 0.012250
[1715/5000][280/535][177057] Loss_D: -0.018591 Loss_G: 0.001840 Loss_D_real: -0.004643 Loss_D_fake 0.013949
[1715/5000][285/535][177058] Loss_D: -0.017825 Loss_G: -0.003738 Loss_D_real: -0.006109 Loss_D_fake 0.011716
[1715/5000][290/535][177059] Loss_D: -0.018573 Loss_G: 0.005814 Loss_D_real: -0.017068 Loss_D_fake 0.001505
[1715/5000][295/535][177060] Loss_D: -0.018519 Loss_G: 0.006152 Loss_D_real: -0.010245 Loss_D_fake 0.008274
[1715/5000][300/535][177061] Loss_D: -0.017688 Loss_G: 0.014009 Loss_D_real: -0.021197 Loss_D_fake -0.003509
[1715/5000][305/535][177062] Loss_D: -0.018066 Loss_G: 0.015253 Loss_D_real: -0.019897 Loss_D_fake -0.001831
[1715/5000][310/535][177063] Loss_D: -0.019124 Loss_G: 0.003794 Loss_D_real: -0.004622 Loss_D_fake 0.014502
[1715/5000][315/535][177064] Loss_D: -0.020491 Loss_G: 0.008035 Loss_D_real: -0.019869 Loss_D_fake 0.000622
[1715/5000][320/535][177065] Loss_D: -0.017739 Loss_G: 0.001423 Loss_D_real: -0.006514 Loss_D_fake 0.011225
[1715/5000][325/535][177066] Loss_D: -0.019667 Loss_G: 0.017369 Loss_D_real: -0.015938 Loss_D_fake 0.003729
[1715/5000][330/535][177067] Loss_D: -0.019556 Loss_G: 0.001436 Loss_D_real: -0.018504 Loss_D_fake 0.001052
[1715/5000][335/535][177068] Loss_D: -0.018435 Loss_G: 0.012906 Loss_D_real: -0.031488 Loss_D_fake -0.013053
[1715/5000][340/535][177069] Loss_D: -0.019295 Loss_G: 0.005905 Loss_D_real: -0.017636 Loss_D_fake 0.001659
[1715/5000][345/535][177070] Loss_D: -0.016873 Loss_G: -0.006622 Loss_D_real: 0.004235 Loss_D_fake 0.021108
[1715/5000][350/535][177071] Loss_D: -0.019228 Loss_G: 0.007271 Loss_D_real: -0.011037 Loss_D_fake 0.008191
[1715/5000][355/535][177072] Loss_D: -0.017812 Loss_G: 0.022514 Loss_D_real: -0.014281 Loss_D_fake 0.003531
[1715/5000][360/535][177073] Loss_D: -0.018224 Loss_G: -0.002492 Loss_D_real: -0.013405 Loss_D_fake 0.004819
[1715/5000][365/535][177074] Loss_D: -0.018020 Loss_G: 0.013822 Loss_D_real: -0.023353 Loss_D_fake -0.005333
[1715/5000][370/535][177075] Loss_D: -0.021081 Loss_G: 0.003297 Loss_D_real: -0.019975 Loss_D_fake 0.001106
[1715/5000][375/535][177076] Loss_D: -0.019238 Loss_G: 0.008528 Loss_D_real: -0.020237 Loss_D_fake -0.000999
[1715/5000][380/535][177077] Loss_D: -0.019570 Loss_G: 0.004679 Loss_D_real: -0.027725 Loss_D_fake -0.008154
[1715/5000][385/535][177078] Loss_D: -0.019123 Loss_G: 0.006482 Loss_D_real: -0.013562 Loss_D_fake 0.005561
[1715/5000][390/535][177079] Loss_D: -0.019388 Loss_G: 0.003619 Loss_D_real: -0.019519 Loss_D_fake -0.000132
[1715/5000][395/535][177080] Loss_D: -0.018971 Loss_G: 0.016765 Loss_D_real: -0.011232 Loss_D_fake 0.007739
[1715/5000][400/535][177081] Loss_D: -0.018216 Loss_G: -0.005790 Loss_D_real: -0.003937 Loss_D_fake 0.014279
[1715/5000][405/535][177082] Loss_D: -0.018059 Loss_G: 0.013463 Loss_D_real: -0.023380 Loss_D_fake -0.005321
[1715/5000][410/535][177083] Loss_D: -0.018501 Loss_G: -0.009104 Loss_D_real: -0.003788 Loss_D_fake 0.014714
[1715/5000][415/535][177084] Loss_D: -0.019269 Loss_G: 0.003701 Loss_D_real: -0.021587 Loss_D_fake -0.002318
[1715/5000][420/535][177085] Loss_D: -0.017722 Loss_G: 0.027714 Loss_D_real: -0.032280 Loss_D_fake -0.014558
[1715/5000][425/535][177086] Loss_D: -0.020222 Loss_G: -0.001700 Loss_D_real: -0.018777 Loss_D_fake 0.001444
[1715/5000][430/535][177087] Loss_D: -0.018505 Loss_G: 0.040773 Loss_D_real: -0.023012 Loss_D_fake -0.004507
[1715/5000][435/535][177088] Loss_D: -0.019345 Loss_G: 0.006559 Loss_D_real: -0.024601 Loss_D_fake -0.005256
[1715/5000][440/535][177089] Loss_D: -0.018074 Loss_G: 0.020935 Loss_D_real: -0.033344 Loss_D_fake -0.015270
[1715/5000][445/535][177090] Loss_D: -0.017839 Loss_G: 0.002081 Loss_D_real: -0.010017 Loss_D_fake 0.007822
[1715/5000][450/535][177091] Loss_D: -0.019177 Loss_G: -0.011225 Loss_D_real: -0.009092 Loss_D_fake 0.010085
[1715/5000][455/535][177092] Loss_D: -0.017685 Loss_G: 0.017611 Loss_D_real: -0.027302 Loss_D_fake -0.009617
[1715/5000][460/535][177093] Loss_D: -0.017779 Loss_G: 0.001079 Loss_D_real: -0.014649 Loss_D_fake 0.003130
[1715/5000][465/535][177094] Loss_D: -0.018034 Loss_G: 0.025789 Loss_D_real: -0.023352 Loss_D_fake -0.005318
[1715/5000][470/535][177095] Loss_D: -0.016747 Loss_G: 0.003956 Loss_D_real: -0.018690 Loss_D_fake -0.001943
[1715/5000][475/535][177096] Loss_D: -0.018218 Loss_G: 0.004682 Loss_D_real: -0.002850 Loss_D_fake 0.015368
[1715/5000][480/535][177097] Loss_D: -0.018957 Loss_G: 0.001202 Loss_D_real: -0.010510 Loss_D_fake 0.008447
[1715/5000][485/535][177098] Loss_D: -0.018099 Loss_G: -0.003767 Loss_D_real: 0.005014 Loss_D_fake 0.023113
[1715/5000][490/535][177099] Loss_D: -0.016963 Loss_G: 0.016040 Loss_D_real: -0.023377 Loss_D_fake -0.006414
[1715/5000][495/535][177100] Loss_D: -0.020784 Loss_G: 0.009758 Loss_D_real: -0.011000 Loss_D_fake 0.009784
[1715/5000][500/535][177101] Loss_D: -0.018577 Loss_G: 0.001672 Loss_D_real: -0.020923 Loss_D_fake -0.002346
[1715/5000][505/535][177102] Loss_D: -0.018140 Loss_G: 0.000314 Loss_D_real: -0.006287 Loss_D_fake 0.011853
[1715/5000][510/535][177103] Loss_D: -0.017498 Loss_G: 0.010128 Loss_D_real: -0.017362 Loss_D_fake 0.000136
[1715/5000][515/535][177104] Loss_D: -0.019447 Loss_G: 0.007557 Loss_D_real: -0.004683 Loss_D_fake 0.014764
[1715/5000][520/535][177105] Loss_D: -0.018667 Loss_G: 0.003890 Loss_D_real: -0.005975 Loss_D_fake 0.012692
[1715/5000][525/535][177106] Loss_D: -0.017304 Loss_G: -0.016218 Loss_D_real: -0.001099 Loss_D_fake 0.016204
[1715/5000][530/535][177107] Loss_D: -0.018415 Loss_G: 0.009113 Loss_D_real: -0.023247 Loss_D_fake -0.004832
[1715/5000][535/535][177108] Loss_D: -0.019163 Loss_G: 0.041020 Loss_D_real: -0.014248 Loss_D_fake 0.004915
[1716/5000][5/535][177109] Loss_D: -0.019382 Loss_G: -0.009329 Loss_D_real: -0.012618 Loss_D_fake 0.006764
[1716/5000][10/535][177110] Loss_D: -0.017448 Loss_G: -0.006994 Loss_D_real: -0.015664 Loss_D_fake 0.001784
[1716/5000][15/535][177111] Loss_D: -0.019027 Loss_G: 0.008412 Loss_D_real: -0.019077 Loss_D_fake -0.000050
[1716/5000][20/535][177112] Loss_D: -0.018555 Loss_G: 0.008941 Loss_D_real: -0.020411 Loss_D_fake -0.001856
[1716/5000][25/535][177113] Loss_D: -0.018370 Loss_G: -0.002090 Loss_D_real: -0.005166 Loss_D_fake 0.013204
[1716/5000][30/535][177114] Loss_D: -0.018632 Loss_G: 0.005282 Loss_D_real: -0.007006 Loss_D_fake 0.011626
[1716/5000][35/535][177115] Loss_D: -0.018966 Loss_G: 0.013511 Loss_D_real: -0.011664 Loss_D_fake 0.007302
[1716/5000][40/535][177116] Loss_D: -0.018031 Loss_G: 0.011135 Loss_D_real: -0.021120 Loss_D_fake -0.003089
[1716/5000][45/535][177117] Loss_D: -0.018545 Loss_G: 0.004538 Loss_D_real: -0.012155 Loss_D_fake 0.006390
[1716/5000][50/535][177118] Loss_D: -0.018927 Loss_G: -0.015271 Loss_D_real: -0.006779 Loss_D_fake 0.012148
[1716/5000][55/535][177119] Loss_D: -0.019600 Loss_G: 0.004587 Loss_D_real: -0.020234 Loss_D_fake -0.000634
[1716/5000][60/535][177120] Loss_D: -0.019267 Loss_G: 0.007310 Loss_D_real: -0.025916 Loss_D_fake -0.006649
[1716/5000][65/535][177121] Loss_D: -0.017640 Loss_G: 0.028935 Loss_D_real: -0.034303 Loss_D_fake -0.016664
[1716/5000][70/535][177122] Loss_D: -0.020149 Loss_G: 0.008133 Loss_D_real: -0.020440 Loss_D_fake -0.000290
[1716/5000][75/535][177123] Loss_D: -0.019901 Loss_G: 0.000891 Loss_D_real: -0.006684 Loss_D_fake 0.013217
[1716/5000][80/535][177124] Loss_D: -0.019202 Loss_G: 0.002920 Loss_D_real: -0.021694 Loss_D_fake -0.002491
[1716/5000][85/535][177125] Loss_D: -0.017000 Loss_G: 0.023702 Loss_D_real: -0.030860 Loss_D_fake -0.013859
[1716/5000][90/535][177126] Loss_D: -0.019654 Loss_G: 0.005041 Loss_D_real: -0.018019 Loss_D_fake 0.001635
[1716/5000][95/535][177127] Loss_D: -0.017997 Loss_G: -0.011495 Loss_D_real: -0.014638 Loss_D_fake 0.003359
[1716/5000][100/535][177128] Loss_D: -0.020522 Loss_G: 0.007229 Loss_D_real: -0.015910 Loss_D_fake 0.004612
[1716/5000][105/535][177129] Loss_D: -0.017478 Loss_G: 0.024204 Loss_D_real: -0.031649 Loss_D_fake -0.014171
[1716/5000][110/535][177130] Loss_D: -0.017902 Loss_G: 0.020765 Loss_D_real: -0.032977 Loss_D_fake -0.015075
[1716/5000][115/535][177131] Loss_D: -0.018411 Loss_G: -0.023703 Loss_D_real: -0.003874 Loss_D_fake 0.014537
[1716/5000][120/535][177132] Loss_D: -0.017872 Loss_G: 0.014182 Loss_D_real: -0.026141 Loss_D_fake -0.008269
[1716/5000][125/535][177133] Loss_D: -0.019455 Loss_G: 0.020854 Loss_D_real: -0.011315 Loss_D_fake 0.008140
[1716/5000][130/535][177134] Loss_D: -0.018846 Loss_G: -0.007500 Loss_D_real: -0.013384 Loss_D_fake 0.005461
[1716/5000][135/535][177135] Loss_D: -0.018100 Loss_G: 0.004758 Loss_D_real: -0.016130 Loss_D_fake 0.001970
[1716/5000][140/535][177136] Loss_D: -0.019498 Loss_G: -0.000488 Loss_D_real: -0.028438 Loss_D_fake -0.008939
[1716/5000][145/535][177137] Loss_D: -0.017415 Loss_G: 0.014206 Loss_D_real: -0.022633 Loss_D_fake -0.005217
[1716/5000][150/535][177138] Loss_D: -0.017628 Loss_G: 0.004176 Loss_D_real: -0.016582 Loss_D_fake 0.001046
[1716/5000][155/535][177139] Loss_D: -0.018533 Loss_G: 0.011934 Loss_D_real: -0.005686 Loss_D_fake 0.012847
[1716/5000][160/535][177140] Loss_D: -0.018149 Loss_G: 0.000924 Loss_D_real: -0.018119 Loss_D_fake 0.000030
[1716/5000][165/535][177141] Loss_D: -0.018393 Loss_G: -0.004298 Loss_D_real: -0.009124 Loss_D_fake 0.009269
[1716/5000][170/535][177142] Loss_D: -0.016260 Loss_G: 0.021692 Loss_D_real: -0.026554 Loss_D_fake -0.010294
[1716/5000][175/535][177143] Loss_D: -0.017647 Loss_G: 0.008493 Loss_D_real: -0.024137 Loss_D_fake -0.006490
[1716/5000][180/535][177144] Loss_D: -0.018754 Loss_G: 0.004379 Loss_D_real: -0.027984 Loss_D_fake -0.009229
[1716/5000][185/535][177145] Loss_D: -0.017963 Loss_G: 0.004964 Loss_D_real: -0.006111 Loss_D_fake 0.011852
[1716/5000][190/535][177146] Loss_D: -0.017413 Loss_G: 0.009022 Loss_D_real: -0.018450 Loss_D_fake -0.001036
[1716/5000][195/535][177147] Loss_D: -0.017881 Loss_G: 0.009128 Loss_D_real: -0.014604 Loss_D_fake 0.003278
[1716/5000][200/535][177148] Loss_D: -0.018300 Loss_G: 0.015803 Loss_D_real: -0.016383 Loss_D_fake 0.001917
[1716/5000][205/535][177149] Loss_D: -0.018634 Loss_G: 0.009364 Loss_D_real: -0.032906 Loss_D_fake -0.014272
[1716/5000][210/535][177150] Loss_D: -0.016386 Loss_G: 0.013202 Loss_D_real: -0.007352 Loss_D_fake 0.009034
[1716/5000][215/535][177151] Loss_D: -0.017135 Loss_G: -0.010830 Loss_D_real: 0.004744 Loss_D_fake 0.021879
[1716/5000][220/535][177152] Loss_D: -0.018646 Loss_G: 0.017944 Loss_D_real: -0.014939 Loss_D_fake 0.003707
[1716/5000][225/535][177153] Loss_D: -0.019050 Loss_G: 0.011940 Loss_D_real: -0.005347 Loss_D_fake 0.013703
[1716/5000][230/535][177154] Loss_D: -0.018319 Loss_G: 0.016161 Loss_D_real: -0.020954 Loss_D_fake -0.002634
[1716/5000][235/535][177155] Loss_D: -0.019192 Loss_G: -0.001047 Loss_D_real: -0.012699 Loss_D_fake 0.006492
[1716/5000][240/535][177156] Loss_D: -0.019141 Loss_G: 0.028353 Loss_D_real: -0.021449 Loss_D_fake -0.002308
[1716/5000][245/535][177157] Loss_D: -0.017285 Loss_G: 0.022117 Loss_D_real: -0.024971 Loss_D_fake -0.007686
[1716/5000][250/535][177158] Loss_D: -0.019803 Loss_G: -0.005852 Loss_D_real: -0.012999 Loss_D_fake 0.006804
[1716/5000][255/535][177159] Loss_D: -0.018448 Loss_G: 0.009710 Loss_D_real: -0.017412 Loss_D_fake 0.001036
[1716/5000][260/535][177160] Loss_D: -0.019021 Loss_G: 0.001173 Loss_D_real: -0.011627 Loss_D_fake 0.007394
[1716/5000][265/535][177161] Loss_D: -0.017431 Loss_G: 0.002796 Loss_D_real: -0.009512 Loss_D_fake 0.007918
[1716/5000][270/535][177162] Loss_D: -0.018631 Loss_G: -0.005285 Loss_D_real: -0.003981 Loss_D_fake 0.014650
[1716/5000][275/535][177163] Loss_D: -0.018320 Loss_G: 0.010744 Loss_D_real: -0.018691 Loss_D_fake -0.000371
[1716/5000][280/535][177164] Loss_D: -0.018216 Loss_G: 0.010154 Loss_D_real: -0.019297 Loss_D_fake -0.001081
[1716/5000][285/535][177165] Loss_D: -0.018272 Loss_G: 0.005337 Loss_D_real: -0.017921 Loss_D_fake 0.000351
[1716/5000][290/535][177166] Loss_D: -0.018090 Loss_G: 0.020937 Loss_D_real: -0.024368 Loss_D_fake -0.006278
[1716/5000][295/535][177167] Loss_D: -0.018920 Loss_G: 0.022762 Loss_D_real: -0.028989 Loss_D_fake -0.010070
[1716/5000][300/535][177168] Loss_D: -0.018125 Loss_G: -0.010112 Loss_D_real: -0.004088 Loss_D_fake 0.014037
[1716/5000][305/535][177169] Loss_D: -0.017773 Loss_G: -0.000650 Loss_D_real: -0.012492 Loss_D_fake 0.005281
[1716/5000][310/535][177170] Loss_D: -0.018828 Loss_G: -0.010161 Loss_D_real: -0.027350 Loss_D_fake -0.008523
[1716/5000][315/535][177171] Loss_D: -0.019033 Loss_G: 0.032583 Loss_D_real: -0.022278 Loss_D_fake -0.003244
[1716/5000][320/535][177172] Loss_D: -0.018411 Loss_G: -0.008475 Loss_D_real: -0.011805 Loss_D_fake 0.006605
[1716/5000][325/535][177173] Loss_D: -0.017751 Loss_G: 0.024468 Loss_D_real: -0.029418 Loss_D_fake -0.011667
[1716/5000][330/535][177174] Loss_D: -0.018725 Loss_G: 0.016355 Loss_D_real: -0.013872 Loss_D_fake 0.004852
[1716/5000][335/535][177175] Loss_D: -0.016129 Loss_G: 0.021020 Loss_D_real: -0.036554 Loss_D_fake -0.020425
[1716/5000][340/535][177176] Loss_D: -0.019369 Loss_G: 0.015336 Loss_D_real: -0.010855 Loss_D_fake 0.008514
[1716/5000][345/535][177177] Loss_D: -0.018296 Loss_G: 0.000525 Loss_D_real: -0.016965 Loss_D_fake 0.001331
[1716/5000][350/535][177178] Loss_D: -0.018435 Loss_G: 0.027802 Loss_D_real: -0.027081 Loss_D_fake -0.008646
[1716/5000][355/535][177179] Loss_D: -0.020286 Loss_G: 0.015663 Loss_D_real: -0.015891 Loss_D_fake 0.004395
[1716/5000][360/535][177180] Loss_D: -0.018138 Loss_G: -0.004037 Loss_D_real: -0.014289 Loss_D_fake 0.003849
[1716/5000][365/535][177181] Loss_D: -0.018476 Loss_G: -0.002328 Loss_D_real: -0.008208 Loss_D_fake 0.010267
[1716/5000][370/535][177182] Loss_D: -0.017323 Loss_G: -0.013731 Loss_D_real: 0.011501 Loss_D_fake 0.028824
[1716/5000][375/535][177183] Loss_D: -0.018954 Loss_G: -0.006690 Loss_D_real: -0.001189 Loss_D_fake 0.017765
[1716/5000][380/535][177184] Loss_D: -0.019183 Loss_G: 0.004903 Loss_D_real: -0.024080 Loss_D_fake -0.004898
[1716/5000][385/535][177185] Loss_D: -0.019101 Loss_G: 0.002061 Loss_D_real: -0.008762 Loss_D_fake 0.010339
[1716/5000][390/535][177186] Loss_D: -0.018534 Loss_G: -0.007238 Loss_D_real: -0.000003 Loss_D_fake 0.018531
[1716/5000][395/535][177187] Loss_D: -0.017451 Loss_G: 0.011253 Loss_D_real: -0.020194 Loss_D_fake -0.002743
[1716/5000][400/535][177188] Loss_D: -0.019003 Loss_G: 0.006584 Loss_D_real: -0.014988 Loss_D_fake 0.004015
[1716/5000][405/535][177189] Loss_D: -0.018878 Loss_G: 0.007986 Loss_D_real: -0.014121 Loss_D_fake 0.004757
[1716/5000][410/535][177190] Loss_D: -0.018512 Loss_G: 0.003480 Loss_D_real: -0.024738 Loss_D_fake -0.006225
[1716/5000][415/535][177191] Loss_D: -0.018601 Loss_G: 0.001137 Loss_D_real: 0.001416 Loss_D_fake 0.020017
[1716/5000][420/535][177192] Loss_D: -0.018662 Loss_G: 0.019198 Loss_D_real: -0.032756 Loss_D_fake -0.014094
[1716/5000][425/535][177193] Loss_D: -0.019212 Loss_G: 0.013847 Loss_D_real: -0.005892 Loss_D_fake 0.013320
[1716/5000][430/535][177194] Loss_D: -0.018225 Loss_G: -0.004077 Loss_D_real: -0.006193 Loss_D_fake 0.012032
[1716/5000][435/535][177195] Loss_D: -0.018662 Loss_G: 0.009503 Loss_D_real: -0.016506 Loss_D_fake 0.002157
[1716/5000][440/535][177196] Loss_D: -0.019016 Loss_G: -0.001762 Loss_D_real: -0.027270 Loss_D_fake -0.008254
[1716/5000][445/535][177197] Loss_D: -0.017335 Loss_G: 0.019548 Loss_D_real: -0.031756 Loss_D_fake -0.014421
[1716/5000][450/535][177198] Loss_D: -0.018818 Loss_G: -0.000641 Loss_D_real: -0.017071 Loss_D_fake 0.001747
[1716/5000][455/535][177199] Loss_D: -0.018919 Loss_G: 0.003688 Loss_D_real: -0.003627 Loss_D_fake 0.015291
[1716/5000][460/535][177200] Loss_D: -0.018454 Loss_G: -0.011545 Loss_D_real: -0.001325 Loss_D_fake 0.017129
[1716/5000][465/535][177201] Loss_D: -0.015561 Loss_G: 0.024685 Loss_D_real: -0.026707 Loss_D_fake -0.011146
[1716/5000][470/535][177202] Loss_D: -0.019335 Loss_G: 0.001511 Loss_D_real: -0.003554 Loss_D_fake 0.015780
[1716/5000][475/535][177203] Loss_D: -0.018379 Loss_G: 0.004910 Loss_D_real: -0.016838 Loss_D_fake 0.001542
[1716/5000][480/535][177204] Loss_D: -0.018880 Loss_G: 0.004223 Loss_D_real: -0.016637 Loss_D_fake 0.002242
[1716/5000][485/535][177205] Loss_D: -0.020018 Loss_G: 0.010899 Loss_D_real: -0.012898 Loss_D_fake 0.007120
[1716/5000][490/535][177206] Loss_D: -0.020232 Loss_G: 0.000363 Loss_D_real: -0.003172 Loss_D_fake 0.017060
[1716/5000][495/535][177207] Loss_D: -0.018715 Loss_G: -0.014889 Loss_D_real: -0.014998 Loss_D_fake 0.003717
[1716/5000][500/535][177208] Loss_D: -0.016812 Loss_G: 0.025747 Loss_D_real: -0.028013 Loss_D_fake -0.011201
[1716/5000][505/535][177209] Loss_D: -0.018242 Loss_G: -0.011513 Loss_D_real: -0.007416 Loss_D_fake 0.010827
[1716/5000][510/535][177210] Loss_D: -0.019362 Loss_G: 0.005301 Loss_D_real: -0.013262 Loss_D_fake 0.006101
[1716/5000][515/535][177211] Loss_D: -0.017124 Loss_G: -0.013509 Loss_D_real: 0.009573 Loss_D_fake 0.026697
[1716/5000][520/535][177212] Loss_D: -0.017918 Loss_G: -0.000969 Loss_D_real: -0.001060 Loss_D_fake 0.016859
[1716/5000][525/535][177213] Loss_D: -0.018863 Loss_G: 0.023639 Loss_D_real: -0.019105 Loss_D_fake -0.000242
[1716/5000][530/535][177214] Loss_D: -0.018553 Loss_G: 0.011452 Loss_D_real: -0.007085 Loss_D_fake 0.011468
[1716/5000][535/535][177215] Loss_D: -0.019386 Loss_G: 0.009990 Loss_D_real: -0.012225 Loss_D_fake 0.007160
[1717/5000][5/535][177216] Loss_D: -0.017811 Loss_G: 0.012685 Loss_D_real: -0.021684 Loss_D_fake -0.003873
[1717/5000][10/535][177217] Loss_D: -0.017803 Loss_G: 0.002442 Loss_D_real: -0.019627 Loss_D_fake -0.001824
[1717/5000][15/535][177218] Loss_D: -0.018007 Loss_G: 0.027823 Loss_D_real: -0.031399 Loss_D_fake -0.013392
[1717/5000][20/535][177219] Loss_D: -0.018477 Loss_G: 0.023606 Loss_D_real: -0.005680 Loss_D_fake 0.012797
[1717/5000][25/535][177220] Loss_D: -0.017501 Loss_G: -0.016288 Loss_D_real: -0.011506 Loss_D_fake 0.005995
[1717/5000][30/535][177221] Loss_D: -0.019000 Loss_G: 0.010377 Loss_D_real: -0.014609 Loss_D_fake 0.004391
[1717/5000][35/535][177222] Loss_D: -0.017582 Loss_G: -0.003991 Loss_D_real: -0.013324 Loss_D_fake 0.004257
[1717/5000][40/535][177223] Loss_D: -0.017746 Loss_G: 0.000039 Loss_D_real: -0.015295 Loss_D_fake 0.002451
[1717/5000][45/535][177224] Loss_D: -0.018473 Loss_G: 0.008508 Loss_D_real: -0.024066 Loss_D_fake -0.005593
[1717/5000][50/535][177225] Loss_D: -0.017023 Loss_G: 0.016891 Loss_D_real: -0.037570 Loss_D_fake -0.020546
[1717/5000][55/535][177226] Loss_D: -0.017418 Loss_G: 0.023447 Loss_D_real: -0.022976 Loss_D_fake -0.005558
[1717/5000][60/535][177227] Loss_D: -0.018940 Loss_G: -0.007275 Loss_D_real: -0.000631 Loss_D_fake 0.018309
[1717/5000][65/535][177228] Loss_D: -0.017368 Loss_G: 0.012428 Loss_D_real: -0.021487 Loss_D_fake -0.004119
[1717/5000][70/535][177229] Loss_D: -0.017843 Loss_G: -0.006174 Loss_D_real: 0.003909 Loss_D_fake 0.021752
[1717/5000][75/535][177230] Loss_D: -0.018820 Loss_G: 0.014662 Loss_D_real: -0.020714 Loss_D_fake -0.001894
[1717/5000][80/535][177231] Loss_D: -0.017640 Loss_G: -0.009353 Loss_D_real: -0.016182 Loss_D_fake 0.001458
[1717/5000][85/535][177232] Loss_D: -0.018612 Loss_G: 0.010309 Loss_D_real: -0.022051 Loss_D_fake -0.003439
[1717/5000][90/535][177233] Loss_D: -0.019564 Loss_G: -0.001905 Loss_D_real: -0.019081 Loss_D_fake 0.000483
[1717/5000][95/535][177234] Loss_D: -0.018892 Loss_G: 0.026220 Loss_D_real: -0.030741 Loss_D_fake -0.011849
[1717/5000][100/535][177235] Loss_D: -0.019796 Loss_G: 0.010405 Loss_D_real: -0.011832 Loss_D_fake 0.007964
[1717/5000][105/535][177236] Loss_D: -0.018554 Loss_G: -0.006171 Loss_D_real: -0.019272 Loss_D_fake -0.000718
[1717/5000][110/535][177237] Loss_D: -0.019562 Loss_G: 0.004724 Loss_D_real: 0.000631 Loss_D_fake 0.020193
[1717/5000][115/535][177238] Loss_D: -0.018631 Loss_G: 0.016462 Loss_D_real: -0.006923 Loss_D_fake 0.011708
[1717/5000][120/535][177239] Loss_D: -0.018866 Loss_G: 0.015851 Loss_D_real: -0.017062 Loss_D_fake 0.001804
[1717/5000][125/535][177240] Loss_D: -0.018784 Loss_G: -0.008008 Loss_D_real: -0.014616 Loss_D_fake 0.004168
[1717/5000][130/535][177241] Loss_D: -0.019117 Loss_G: 0.009461 Loss_D_real: -0.001857 Loss_D_fake 0.017260
[1717/5000][135/535][177242] Loss_D: -0.019065 Loss_G: 0.017967 Loss_D_real: -0.031949 Loss_D_fake -0.012883
[1717/5000][140/535][177243] Loss_D: -0.018794 Loss_G: 0.006778 Loss_D_real: -0.014144 Loss_D_fake 0.004650
[1717/5000][145/535][177244] Loss_D: -0.019472 Loss_G: -0.012854 Loss_D_real: -0.011617 Loss_D_fake 0.007855
[1717/5000][150/535][177245] Loss_D: -0.018420 Loss_G: 0.019107 Loss_D_real: -0.028426 Loss_D_fake -0.010007
[1717/5000][155/535][177246] Loss_D: -0.017939 Loss_G: 0.013843 Loss_D_real: -0.019998 Loss_D_fake -0.002060
[1717/5000][160/535][177247] Loss_D: -0.017942 Loss_G: -0.005603 Loss_D_real: -0.007668 Loss_D_fake 0.010274
[1717/5000][165/535][177248] Loss_D: -0.017541 Loss_G: 0.009502 Loss_D_real: -0.025506 Loss_D_fake -0.007966
[1717/5000][170/535][177249] Loss_D: -0.019397 Loss_G: 0.011813 Loss_D_real: -0.017432 Loss_D_fake 0.001964
[1717/5000][175/535][177250] Loss_D: -0.018240 Loss_G: 0.007931 Loss_D_real: -0.019004 Loss_D_fake -0.000764
[1717/5000][180/535][177251] Loss_D: -0.018076 Loss_G: 0.022060 Loss_D_real: -0.035278 Loss_D_fake -0.017203
[1717/5000][185/535][177252] Loss_D: -0.018665 Loss_G: 0.005299 Loss_D_real: -0.004920 Loss_D_fake 0.013745
[1717/5000][190/535][177253] Loss_D: -0.018901 Loss_G: 0.022919 Loss_D_real: -0.019675 Loss_D_fake -0.000774
[1717/5000][195/535][177254] Loss_D: -0.017293 Loss_G: 0.000661 Loss_D_real: -0.000561 Loss_D_fake 0.016732
[1717/5000][200/535][177255] Loss_D: -0.019629 Loss_G: 0.010521 Loss_D_real: -0.023584 Loss_D_fake -0.003955
[1717/5000][205/535][177256] Loss_D: -0.017571 Loss_G: 0.006733 Loss_D_real: -0.022343 Loss_D_fake -0.004772
[1717/5000][210/535][177257] Loss_D: -0.020139 Loss_G: 0.001049 Loss_D_real: -0.012885 Loss_D_fake 0.007254
[1717/5000][215/535][177258] Loss_D: -0.018607 Loss_G: -0.005216 Loss_D_real: -0.016198 Loss_D_fake 0.002409
[1717/5000][220/535][177259] Loss_D: -0.017169 Loss_G: -0.001070 Loss_D_real: -0.005229 Loss_D_fake 0.011939
[1717/5000][225/535][177260] Loss_D: -0.019439 Loss_G: -0.012080 Loss_D_real: -0.007586 Loss_D_fake 0.011852
[1717/5000][230/535][177261] Loss_D: -0.018186 Loss_G: 0.007050 Loss_D_real: -0.010337 Loss_D_fake 0.007848
[1717/5000][235/535][177262] Loss_D: -0.018285 Loss_G: -0.010361 Loss_D_real: -0.009861 Loss_D_fake 0.008425
[1717/5000][240/535][177263] Loss_D: -0.017729 Loss_G: 0.006966 Loss_D_real: -0.008353 Loss_D_fake 0.009376
[1717/5000][245/535][177264] Loss_D: -0.018636 Loss_G: 0.015163 Loss_D_real: -0.012146 Loss_D_fake 0.006490
[1717/5000][250/535][177265] Loss_D: -0.019246 Loss_G: -0.002359 Loss_D_real: 0.003035 Loss_D_fake 0.022282
[1717/5000][255/535][177266] Loss_D: -0.018694 Loss_G: -0.014561 Loss_D_real: 0.002127 Loss_D_fake 0.020821
[1717/5000][260/535][177267] Loss_D: -0.019228 Loss_G: 0.015731 Loss_D_real: -0.011911 Loss_D_fake 0.007317
[1717/5000][265/535][177268] Loss_D: -0.015437 Loss_G: 0.018517 Loss_D_real: -0.024911 Loss_D_fake -0.009474
[1717/5000][270/535][177269] Loss_D: -0.018589 Loss_G: 0.025529 Loss_D_real: -0.028075 Loss_D_fake -0.009486
[1717/5000][275/535][177270] Loss_D: -0.017194 Loss_G: 0.019276 Loss_D_real: -0.036484 Loss_D_fake -0.019289
[1717/5000][280/535][177271] Loss_D: -0.018557 Loss_G: -0.008318 Loss_D_real: -0.011298 Loss_D_fake 0.007260
[1717/5000][285/535][177272] Loss_D: -0.017814 Loss_G: 0.017556 Loss_D_real: -0.020460 Loss_D_fake -0.002646
[1717/5000][290/535][177273] Loss_D: -0.018098 Loss_G: 0.007203 Loss_D_real: -0.015308 Loss_D_fake 0.002790
[1717/5000][295/535][177274] Loss_D: -0.018798 Loss_G: 0.020377 Loss_D_real: -0.018907 Loss_D_fake -0.000109
[1717/5000][300/535][177275] Loss_D: -0.019067 Loss_G: 0.017431 Loss_D_real: -0.022926 Loss_D_fake -0.003859
[1717/5000][305/535][177276] Loss_D: -0.018200 Loss_G: 0.016729 Loss_D_real: -0.029680 Loss_D_fake -0.011480
[1717/5000][310/535][177277] Loss_D: -0.018958 Loss_G: 0.015274 Loss_D_real: -0.022592 Loss_D_fake -0.003633
[1717/5000][315/535][177278] Loss_D: -0.019667 Loss_G: 0.004622 Loss_D_real: -0.011894 Loss_D_fake 0.007773
[1717/5000][320/535][177279] Loss_D: -0.019115 Loss_G: 0.012146 Loss_D_real: 0.003209 Loss_D_fake 0.022324
[1717/5000][325/535][177280] Loss_D: -0.018294 Loss_G: 0.005530 Loss_D_real: -0.017645 Loss_D_fake 0.000649
[1717/5000][330/535][177281] Loss_D: -0.018555 Loss_G: -0.005069 Loss_D_real: 0.001363 Loss_D_fake 0.019918
[1717/5000][335/535][177282] Loss_D: -0.018787 Loss_G: 0.002438 Loss_D_real: -0.012522 Loss_D_fake 0.006265
[1717/5000][340/535][177283] Loss_D: -0.018302 Loss_G: 0.000054 Loss_D_real: -0.018691 Loss_D_fake -0.000389
[1717/5000][345/535][177284] Loss_D: -0.019086 Loss_G: -0.003182 Loss_D_real: -0.010455 Loss_D_fake 0.008631
[1717/5000][350/535][177285] Loss_D: -0.016935 Loss_G: 0.016183 Loss_D_real: -0.019695 Loss_D_fake -0.002759
[1717/5000][355/535][177286] Loss_D: -0.019712 Loss_G: 0.005460 Loss_D_real: -0.003958 Loss_D_fake 0.015754
[1717/5000][360/535][177287] Loss_D: -0.016856 Loss_G: 0.025622 Loss_D_real: -0.026713 Loss_D_fake -0.009857
[1717/5000][365/535][177288] Loss_D: -0.018901 Loss_G: 0.018914 Loss_D_real: -0.008888 Loss_D_fake 0.010013
[1717/5000][370/535][177289] Loss_D: -0.018782 Loss_G: 0.002532 Loss_D_real: -0.026326 Loss_D_fake -0.007544
[1717/5000][375/535][177290] Loss_D: -0.017878 Loss_G: 0.010786 Loss_D_real: -0.013758 Loss_D_fake 0.004120
[1717/5000][380/535][177291] Loss_D: -0.018784 Loss_G: 0.000565 Loss_D_real: -0.011224 Loss_D_fake 0.007560
[1717/5000][385/535][177292] Loss_D: -0.018720 Loss_G: -0.008740 Loss_D_real: -0.007424 Loss_D_fake 0.011296
[1717/5000][390/535][177293] Loss_D: -0.018735 Loss_G: -0.000036 Loss_D_real: -0.019346 Loss_D_fake -0.000611
[1717/5000][395/535][177294] Loss_D: -0.018852 Loss_G: -0.001976 Loss_D_real: -0.008501 Loss_D_fake 0.010351
[1717/5000][400/535][177295] Loss_D: -0.016726 Loss_G: 0.023851 Loss_D_real: -0.023858 Loss_D_fake -0.007132
[1717/5000][405/535][177296] Loss_D: -0.020342 Loss_G: -0.004266 Loss_D_real: -0.026591 Loss_D_fake -0.006249
[1717/5000][410/535][177297] Loss_D: -0.019118 Loss_G: 0.011267 Loss_D_real: -0.014638 Loss_D_fake 0.004479
[1717/5000][415/535][177298] Loss_D: -0.016207 Loss_G: 0.026507 Loss_D_real: -0.029764 Loss_D_fake -0.013557
[1717/5000][420/535][177299] Loss_D: -0.018364 Loss_G: -0.017627 Loss_D_real: -0.004226 Loss_D_fake 0.014138
[1717/5000][425/535][177300] Loss_D: -0.018723 Loss_G: -0.010261 Loss_D_real: -0.006708 Loss_D_fake 0.012015
[1717/5000][430/535][177301] Loss_D: -0.019013 Loss_G: -0.006262 Loss_D_real: -0.005222 Loss_D_fake 0.013791
[1717/5000][435/535][177302] Loss_D: -0.018672 Loss_G: 0.019988 Loss_D_real: -0.017439 Loss_D_fake 0.001233
[1717/5000][440/535][177303] Loss_D: -0.018411 Loss_G: 0.001813 Loss_D_real: -0.013241 Loss_D_fake 0.005170
[1717/5000][445/535][177304] Loss_D: -0.018367 Loss_G: 0.020457 Loss_D_real: -0.009532 Loss_D_fake 0.008835
[1717/5000][450/535][177305] Loss_D: -0.018528 Loss_G: -0.017372 Loss_D_real: -0.002596 Loss_D_fake 0.015932
[1717/5000][455/535][177306] Loss_D: -0.017177 Loss_G: 0.006636 Loss_D_real: -0.009055 Loss_D_fake 0.008122
[1717/5000][460/535][177307] Loss_D: -0.018425 Loss_G: 0.022680 Loss_D_real: -0.031331 Loss_D_fake -0.012906
[1717/5000][465/535][177308] Loss_D: -0.019660 Loss_G: -0.000923 Loss_D_real: -0.016669 Loss_D_fake 0.002991
[1717/5000][470/535][177309] Loss_D: -0.017918 Loss_G: 0.006014 Loss_D_real: -0.013120 Loss_D_fake 0.004798
[1717/5000][475/535][177310] Loss_D: -0.016946 Loss_G: 0.027984 Loss_D_real: -0.030658 Loss_D_fake -0.013712
[1717/5000][480/535][177311] Loss_D: -0.017562 Loss_G: -0.009491 Loss_D_real: -0.004618 Loss_D_fake 0.012944
[1717/5000][485/535][177312] Loss_D: -0.017915 Loss_G: -0.009677 Loss_D_real: -0.001862 Loss_D_fake 0.016053
[1717/5000][490/535][177313] Loss_D: -0.016869 Loss_G: 0.024661 Loss_D_real: -0.022580 Loss_D_fake -0.005711
[1717/5000][495/535][177314] Loss_D: -0.018660 Loss_G: 0.006460 Loss_D_real: -0.014160 Loss_D_fake 0.004500
[1717/5000][500/535][177315] Loss_D: -0.018774 Loss_G: 0.018342 Loss_D_real: -0.023022 Loss_D_fake -0.004249
[1717/5000][505/535][177316] Loss_D: -0.018694 Loss_G: 0.010898 Loss_D_real: -0.007367 Loss_D_fake 0.011327
[1717/5000][510/535][177317] Loss_D: -0.018797 Loss_G: 0.002178 Loss_D_real: -0.016262 Loss_D_fake 0.002535
[1717/5000][515/535][177318] Loss_D: -0.017922 Loss_G: 0.008301 Loss_D_real: -0.017557 Loss_D_fake 0.000365
[1717/5000][520/535][177319] Loss_D: -0.018836 Loss_G: 0.001443 Loss_D_real: -0.011112 Loss_D_fake 0.007724
[1717/5000][525/535][177320] Loss_D: -0.019942 Loss_G: 0.010691 Loss_D_real: -0.014579 Loss_D_fake 0.005363
[1717/5000][530/535][177321] Loss_D: -0.018319 Loss_G: -0.003285 Loss_D_real: -0.002267 Loss_D_fake 0.016053
[1717/5000][535/535][177322] Loss_D: -0.017239 Loss_G: -0.028674 Loss_D_real: -0.003987 Loss_D_fake 0.013252
[1718/5000][5/535][177323] Loss_D: -0.018489 Loss_G: 0.018695 Loss_D_real: -0.007354 Loss_D_fake 0.011135
[1718/5000][10/535][177324] Loss_D: -0.017895 Loss_G: 0.006284 Loss_D_real: 0.006852 Loss_D_fake 0.024746
[1718/5000][15/535][177325] Loss_D: -0.018172 Loss_G: 0.020836 Loss_D_real: -0.017017 Loss_D_fake 0.001155
[1718/5000][20/535][177326] Loss_D: -0.018429 Loss_G: 0.003569 Loss_D_real: -0.002846 Loss_D_fake 0.015584
[1718/5000][25/535][177327] Loss_D: -0.018460 Loss_G: 0.004100 Loss_D_real: -0.008850 Loss_D_fake 0.009610
[1718/5000][30/535][177328] Loss_D: -0.018641 Loss_G: 0.016060 Loss_D_real: -0.019149 Loss_D_fake -0.000508
[1718/5000][35/535][177329] Loss_D: -0.019943 Loss_G: -0.001046 Loss_D_real: -0.011582 Loss_D_fake 0.008361
[1718/5000][40/535][177330] Loss_D: -0.019070 Loss_G: 0.005087 Loss_D_real: -0.026843 Loss_D_fake -0.007774
[1718/5000][45/535][177331] Loss_D: -0.018834 Loss_G: 0.011289 Loss_D_real: -0.009122 Loss_D_fake 0.009712
[1718/5000][50/535][177332] Loss_D: -0.019475 Loss_G: 0.022729 Loss_D_real: -0.026290 Loss_D_fake -0.006816
[1718/5000][55/535][177333] Loss_D: -0.019296 Loss_G: -0.008399 Loss_D_real: -0.013594 Loss_D_fake 0.005702
[1718/5000][60/535][177334] Loss_D: -0.018937 Loss_G: 0.018473 Loss_D_real: -0.017353 Loss_D_fake 0.001584
[1718/5000][65/535][177335] Loss_D: -0.019247 Loss_G: 0.016663 Loss_D_real: -0.032857 Loss_D_fake -0.013610
[1718/5000][70/535][177336] Loss_D: -0.019557 Loss_G: -0.011923 Loss_D_real: -0.019340 Loss_D_fake 0.000217
[1718/5000][75/535][177337] Loss_D: -0.018534 Loss_G: 0.008254 Loss_D_real: -0.013408 Loss_D_fake 0.005126
[1718/5000][80/535][177338] Loss_D: -0.018183 Loss_G: 0.014970 Loss_D_real: -0.025307 Loss_D_fake -0.007124
[1718/5000][85/535][177339] Loss_D: -0.018579 Loss_G: 0.013240 Loss_D_real: -0.027953 Loss_D_fake -0.009374
[1718/5000][90/535][177340] Loss_D: -0.018172 Loss_G: 0.014419 Loss_D_real: -0.032965 Loss_D_fake -0.014793
[1718/5000][95/535][177341] Loss_D: -0.017485 Loss_G: 0.018530 Loss_D_real: -0.029874 Loss_D_fake -0.012389
[1718/5000][100/535][177342] Loss_D: -0.019251 Loss_G: 0.019971 Loss_D_real: -0.019199 Loss_D_fake 0.000052
[1718/5000][105/535][177343] Loss_D: -0.018781 Loss_G: 0.004088 Loss_D_real: -0.006440 Loss_D_fake 0.012341
[1718/5000][110/535][177344] Loss_D: -0.018599 Loss_G: -0.000461 Loss_D_real: -0.008144 Loss_D_fake 0.010454
[1718/5000][115/535][177345] Loss_D: -0.017547 Loss_G: -0.015117 Loss_D_real: 0.002449 Loss_D_fake 0.019997
[1718/5000][120/535][177346] Loss_D: -0.018196 Loss_G: 0.022983 Loss_D_real: -0.025491 Loss_D_fake -0.007294
[1718/5000][125/535][177347] Loss_D: -0.018182 Loss_G: 0.011439 Loss_D_real: -0.020610 Loss_D_fake -0.002428
[1718/5000][130/535][177348] Loss_D: -0.018061 Loss_G: 0.019274 Loss_D_real: -0.024481 Loss_D_fake -0.006421
[1718/5000][135/535][177349] Loss_D: -0.018427 Loss_G: 0.002425 Loss_D_real: -0.015517 Loss_D_fake 0.002910
[1718/5000][140/535][177350] Loss_D: -0.019890 Loss_G: -0.003947 Loss_D_real: -0.010446 Loss_D_fake 0.009444
[1718/5000][145/535][177351] Loss_D: -0.018806 Loss_G: -0.003451 Loss_D_real: -0.007030 Loss_D_fake 0.011776
[1718/5000][150/535][177352] Loss_D: -0.019374 Loss_G: 0.026902 Loss_D_real: -0.009515 Loss_D_fake 0.009859
[1718/5000][155/535][177353] Loss_D: -0.017933 Loss_G: 0.001107 Loss_D_real: -0.005455 Loss_D_fake 0.012479
[1718/5000][160/535][177354] Loss_D: -0.019314 Loss_G: -0.004993 Loss_D_real: -0.015218 Loss_D_fake 0.004096
[1718/5000][165/535][177355] Loss_D: -0.019423 Loss_G: 0.013869 Loss_D_real: -0.012607 Loss_D_fake 0.006816
[1718/5000][170/535][177356] Loss_D: -0.017627 Loss_G: -0.018728 Loss_D_real: 0.001467 Loss_D_fake 0.019094
[1718/5000][175/535][177357] Loss_D: -0.019514 Loss_G: 0.003837 Loss_D_real: -0.000925 Loss_D_fake 0.018589
[1718/5000][180/535][177358] Loss_D: -0.018799 Loss_G: 0.010440 Loss_D_real: -0.023665 Loss_D_fake -0.004866
[1718/5000][185/535][177359] Loss_D: -0.018035 Loss_G: 0.013379 Loss_D_real: -0.017019 Loss_D_fake 0.001016
[1718/5000][190/535][177360] Loss_D: -0.018602 Loss_G: 0.019677 Loss_D_real: -0.021850 Loss_D_fake -0.003249
[1718/5000][195/535][177361] Loss_D: -0.018579 Loss_G: -0.012633 Loss_D_real: -0.012517 Loss_D_fake 0.006062
[1718/5000][200/535][177362] Loss_D: -0.018349 Loss_G: 0.007129 Loss_D_real: -0.001107 Loss_D_fake 0.017243
[1718/5000][205/535][177363] Loss_D: -0.018499 Loss_G: 0.004682 Loss_D_real: -0.013055 Loss_D_fake 0.005444
[1718/5000][210/535][177364] Loss_D: -0.019446 Loss_G: 0.010448 Loss_D_real: -0.021361 Loss_D_fake -0.001915
[1718/5000][215/535][177365] Loss_D: -0.018619 Loss_G: 0.023615 Loss_D_real: -0.022797 Loss_D_fake -0.004179
[1718/5000][220/535][177366] Loss_D: -0.019987 Loss_G: 0.014477 Loss_D_real: -0.016919 Loss_D_fake 0.003068
[1718/5000][225/535][177367] Loss_D: -0.018646 Loss_G: 0.004081 Loss_D_real: -0.015406 Loss_D_fake 0.003240
[1718/5000][230/535][177368] Loss_D: -0.018429 Loss_G: 0.008318 Loss_D_real: -0.016448 Loss_D_fake 0.001981
[1718/5000][235/535][177369] Loss_D: -0.017913 Loss_G: 0.017980 Loss_D_real: -0.016802 Loss_D_fake 0.001111
[1718/5000][240/535][177370] Loss_D: -0.016371 Loss_G: 0.021102 Loss_D_real: -0.025346 Loss_D_fake -0.008975
[1718/5000][245/535][177371] Loss_D: -0.018436 Loss_G: -0.005221 Loss_D_real: -0.014275 Loss_D_fake 0.004160
[1718/5000][250/535][177372] Loss_D: -0.017545 Loss_G: -0.000116 Loss_D_real: -0.018275 Loss_D_fake -0.000730
[1718/5000][255/535][177373] Loss_D: -0.016783 Loss_G: 0.018455 Loss_D_real: -0.026286 Loss_D_fake -0.009503
[1718/5000][260/535][177374] Loss_D: -0.018600 Loss_G: 0.002706 Loss_D_real: -0.008596 Loss_D_fake 0.010004
[1718/5000][265/535][177375] Loss_D: -0.018901 Loss_G: -0.002980 Loss_D_real: -0.003314 Loss_D_fake 0.015588
[1718/5000][270/535][177376] Loss_D: -0.018489 Loss_G: 0.009477 Loss_D_real: -0.009757 Loss_D_fake 0.008732
[1718/5000][275/535][177377] Loss_D: -0.019570 Loss_G: 0.001912 Loss_D_real: -0.018548 Loss_D_fake 0.001022
[1718/5000][280/535][177378] Loss_D: -0.020222 Loss_G: 0.000571 Loss_D_real: -0.008809 Loss_D_fake 0.011413
[1718/5000][285/535][177379] Loss_D: -0.018942 Loss_G: 0.015882 Loss_D_real: -0.022399 Loss_D_fake -0.003457
[1718/5000][290/535][177380] Loss_D: -0.018933 Loss_G: -0.001874 Loss_D_real: -0.005761 Loss_D_fake 0.013172
[1718/5000][295/535][177381] Loss_D: -0.018955 Loss_G: 0.021441 Loss_D_real: -0.018847 Loss_D_fake 0.000109
[1718/5000][300/535][177382] Loss_D: -0.019282 Loss_G: 0.005542 Loss_D_real: -0.019551 Loss_D_fake -0.000269
[1718/5000][305/535][177383] Loss_D: -0.018411 Loss_G: -0.005362 Loss_D_real: -0.005206 Loss_D_fake 0.013205
[1718/5000][310/535][177384] Loss_D: -0.017185 Loss_G: -0.013066 Loss_D_real: 0.000491 Loss_D_fake 0.017676
[1718/5000][315/535][177385] Loss_D: -0.019104 Loss_G: 0.015848 Loss_D_real: -0.017974 Loss_D_fake 0.001131
[1718/5000][320/535][177386] Loss_D: -0.019343 Loss_G: 0.007718 Loss_D_real: -0.015612 Loss_D_fake 0.003730
[1718/5000][325/535][177387] Loss_D: -0.016914 Loss_G: -0.013011 Loss_D_real: -0.002445 Loss_D_fake 0.014469
[1718/5000][330/535][177388] Loss_D: -0.017095 Loss_G: 0.024929 Loss_D_real: -0.022951 Loss_D_fake -0.005856
[1718/5000][335/535][177389] Loss_D: -0.019052 Loss_G: 0.018086 Loss_D_real: -0.023340 Loss_D_fake -0.004287
[1718/5000][340/535][177390] Loss_D: -0.018598 Loss_G: -0.010249 Loss_D_real: -0.000529 Loss_D_fake 0.018068
[1718/5000][345/535][177391] Loss_D: -0.018544 Loss_G: -0.004122 Loss_D_real: -0.005238 Loss_D_fake 0.013307
[1718/5000][350/535][177392] Loss_D: -0.017025 Loss_G: 0.005882 Loss_D_real: -0.019544 Loss_D_fake -0.002519
[1718/5000][355/535][177393] Loss_D: -0.017976 Loss_G: -0.016694 Loss_D_real: -0.002348 Loss_D_fake 0.015628
[1718/5000][360/535][177394] Loss_D: -0.019604 Loss_G: 0.011265 Loss_D_real: -0.016486 Loss_D_fake 0.003118
[1718/5000][365/535][177395] Loss_D: -0.018835 Loss_G: 0.017431 Loss_D_real: -0.031393 Loss_D_fake -0.012558
[1718/5000][370/535][177396] Loss_D: -0.019049 Loss_G: -0.004007 Loss_D_real: -0.014566 Loss_D_fake 0.004484
[1718/5000][375/535][177397] Loss_D: -0.018794 Loss_G: 0.017265 Loss_D_real: -0.013118 Loss_D_fake 0.005676
[1718/5000][380/535][177398] Loss_D: -0.019025 Loss_G: 0.016767 Loss_D_real: -0.025438 Loss_D_fake -0.006413
[1718/5000][385/535][177399] Loss_D: -0.019603 Loss_G: 0.013986 Loss_D_real: -0.015620 Loss_D_fake 0.003983
[1718/5000][390/535][177400] Loss_D: -0.017536 Loss_G: -0.005512 Loss_D_real: -0.011685 Loss_D_fake 0.005851
[1718/5000][395/535][177401] Loss_D: -0.018324 Loss_G: 0.006905 Loss_D_real: -0.011887 Loss_D_fake 0.006437
[1718/5000][400/535][177402] Loss_D: -0.018658 Loss_G: 0.014460 Loss_D_real: -0.020277 Loss_D_fake -0.001618
[1718/5000][405/535][177403] Loss_D: -0.016592 Loss_G: 0.014026 Loss_D_real: -0.037341 Loss_D_fake -0.020749
[1718/5000][410/535][177404] Loss_D: -0.019046 Loss_G: 0.001410 Loss_D_real: -0.010007 Loss_D_fake 0.009039
[1718/5000][415/535][177405] Loss_D: -0.016618 Loss_G: 0.023151 Loss_D_real: -0.024703 Loss_D_fake -0.008085
[1718/5000][420/535][177406] Loss_D: -0.017834 Loss_G: -0.000184 Loss_D_real: -0.008337 Loss_D_fake 0.009497
[1718/5000][425/535][177407] Loss_D: -0.017392 Loss_G: 0.015684 Loss_D_real: -0.032035 Loss_D_fake -0.014642
[1718/5000][430/535][177408] Loss_D: -0.018905 Loss_G: 0.008026 Loss_D_real: -0.013798 Loss_D_fake 0.005107
[1718/5000][435/535][177409] Loss_D: -0.017305 Loss_G: 0.015581 Loss_D_real: -0.023744 Loss_D_fake -0.006439
[1718/5000][440/535][177410] Loss_D: -0.019742 Loss_G: -0.011008 Loss_D_real: -0.011844 Loss_D_fake 0.007898
[1718/5000][445/535][177411] Loss_D: -0.017979 Loss_G: 0.010725 Loss_D_real: -0.013025 Loss_D_fake 0.004955
[1718/5000][450/535][177412] Loss_D: -0.018623 Loss_G: 0.014332 Loss_D_real: -0.019267 Loss_D_fake -0.000644
[1718/5000][455/535][177413] Loss_D: -0.019036 Loss_G: -0.004550 Loss_D_real: -0.018835 Loss_D_fake 0.000201
[1718/5000][460/535][177414] Loss_D: -0.017737 Loss_G: 0.006147 Loss_D_real: -0.017622 Loss_D_fake 0.000114
[1718/5000][465/535][177415] Loss_D: -0.018117 Loss_G: -0.001333 Loss_D_real: -0.001960 Loss_D_fake 0.016157
[1718/5000][470/535][177416] Loss_D: -0.018409 Loss_G: 0.017952 Loss_D_real: -0.025802 Loss_D_fake -0.007393
[1718/5000][475/535][177417] Loss_D: -0.019362 Loss_G: 0.007374 Loss_D_real: -0.002438 Loss_D_fake 0.016924
[1718/5000][480/535][177418] Loss_D: -0.019598 Loss_G: -0.001071 Loss_D_real: 0.003217 Loss_D_fake 0.022815
[1718/5000][485/535][177419] Loss_D: -0.018310 Loss_G: 0.020278 Loss_D_real: -0.016691 Loss_D_fake 0.001619
[1718/5000][490/535][177420] Loss_D: -0.017715 Loss_G: 0.011689 Loss_D_real: -0.017286 Loss_D_fake 0.000429
[1718/5000][495/535][177421] Loss_D: -0.017970 Loss_G: 0.008398 Loss_D_real: -0.024493 Loss_D_fake -0.006524
[1718/5000][500/535][177422] Loss_D: -0.018897 Loss_G: -0.006599 Loss_D_real: -0.006031 Loss_D_fake 0.012865
[1718/5000][505/535][177423] Loss_D: -0.019535 Loss_G: 0.011453 Loss_D_real: -0.012544 Loss_D_fake 0.006991
[1718/5000][510/535][177424] Loss_D: -0.018027 Loss_G: 0.018289 Loss_D_real: -0.028467 Loss_D_fake -0.010440
[1718/5000][515/535][177425] Loss_D: -0.019362 Loss_G: -0.002461 Loss_D_real: -0.015005 Loss_D_fake 0.004357
[1718/5000][520/535][177426] Loss_D: -0.018986 Loss_G: -0.004020 Loss_D_real: -0.014311 Loss_D_fake 0.004675
[1718/5000][525/535][177427] Loss_D: -0.019419 Loss_G: -0.010013 Loss_D_real: -0.011826 Loss_D_fake 0.007593
[1718/5000][530/535][177428] Loss_D: -0.018544 Loss_G: 0.005194 Loss_D_real: -0.023876 Loss_D_fake -0.005332
[1718/5000][535/535][177429] Loss_D: -0.021342 Loss_G: 0.009640 Loss_D_real: -0.022659 Loss_D_fake -0.001317
[1719/5000][5/535][177430] Loss_D: -0.019498 Loss_G: 0.008864 Loss_D_real: -0.021155 Loss_D_fake -0.001656
[1719/5000][10/535][177431] Loss_D: -0.018172 Loss_G: 0.008321 Loss_D_real: -0.007195 Loss_D_fake 0.010976
[1719/5000][15/535][177432] Loss_D: -0.017437 Loss_G: 0.019992 Loss_D_real: -0.024682 Loss_D_fake -0.007245
[1719/5000][20/535][177433] Loss_D: -0.017684 Loss_G: 0.015255 Loss_D_real: -0.031124 Loss_D_fake -0.013440
[1719/5000][25/535][177434] Loss_D: -0.018659 Loss_G: 0.008596 Loss_D_real: -0.028953 Loss_D_fake -0.010294
[1719/5000][30/535][177435] Loss_D: -0.018689 Loss_G: 0.004626 Loss_D_real: -0.012992 Loss_D_fake 0.005697
[1719/5000][35/535][177436] Loss_D: -0.017532 Loss_G: 0.011926 Loss_D_real: -0.025793 Loss_D_fake -0.008260
[1719/5000][40/535][177437] Loss_D: -0.018293 Loss_G: 0.018223 Loss_D_real: -0.026443 Loss_D_fake -0.008150
[1719/5000][45/535][177438] Loss_D: -0.018710 Loss_G: 0.019937 Loss_D_real: -0.032154 Loss_D_fake -0.013444
[1719/5000][50/535][177439] Loss_D: -0.018676 Loss_G: -0.010846 Loss_D_real: -0.017904 Loss_D_fake 0.000772
[1719/5000][55/535][177440] Loss_D: -0.018025 Loss_G: 0.020206 Loss_D_real: -0.028020 Loss_D_fake -0.009995
[1719/5000][60/535][177441] Loss_D: -0.019938 Loss_G: 0.017900 Loss_D_real: -0.029711 Loss_D_fake -0.009773
[1719/5000][65/535][177442] Loss_D: -0.017674 Loss_G: -0.010219 Loss_D_real: -0.001176 Loss_D_fake 0.016498
[1719/5000][70/535][177443] Loss_D: -0.018814 Loss_G: 0.011224 Loss_D_real: -0.024276 Loss_D_fake -0.005462
[1719/5000][75/535][177444] Loss_D: -0.018185 Loss_G: 0.008485 Loss_D_real: -0.002427 Loss_D_fake 0.015758
[1719/5000][80/535][177445] Loss_D: -0.019075 Loss_G: 0.005485 Loss_D_real: -0.018094 Loss_D_fake 0.000981
[1719/5000][85/535][177446] Loss_D: -0.018729 Loss_G: 0.008664 Loss_D_real: -0.020480 Loss_D_fake -0.001751
[1719/5000][90/535][177447] Loss_D: -0.018352 Loss_G: 0.009287 Loss_D_real: -0.017566 Loss_D_fake 0.000786
[1719/5000][95/535][177448] Loss_D: -0.019134 Loss_G: 0.011233 Loss_D_real: -0.036536 Loss_D_fake -0.017402
[1719/5000][100/535][177449] Loss_D: -0.018105 Loss_G: -0.012127 Loss_D_real: -0.000783 Loss_D_fake 0.017321
[1719/5000][105/535][177450] Loss_D: -0.018473 Loss_G: 0.000014 Loss_D_real: -0.010843 Loss_D_fake 0.007630
[1719/5000][110/535][177451] Loss_D: -0.018126 Loss_G: 0.004190 Loss_D_real: -0.026004 Loss_D_fake -0.007878
[1719/5000][115/535][177452] Loss_D: -0.018568 Loss_G: 0.015183 Loss_D_real: -0.026977 Loss_D_fake -0.008410
[1719/5000][120/535][177453] Loss_D: -0.017646 Loss_G: 0.005623 Loss_D_real: -0.016983 Loss_D_fake 0.000663
[1719/5000][125/535][177454] Loss_D: -0.018896 Loss_G: 0.012292 Loss_D_real: -0.017917 Loss_D_fake 0.000979
[1719/5000][130/535][177455] Loss_D: -0.017109 Loss_G: -0.000018 Loss_D_real: -0.025174 Loss_D_fake -0.008065
[1719/5000][135/535][177456] Loss_D: -0.018376 Loss_G: -0.003328 Loss_D_real: -0.003127 Loss_D_fake 0.015250
[1719/5000][140/535][177457] Loss_D: -0.019311 Loss_G: 0.024343 Loss_D_real: -0.020621 Loss_D_fake -0.001310
[1719/5000][145/535][177458] Loss_D: -0.017724 Loss_G: -0.003686 Loss_D_real: -0.001833 Loss_D_fake 0.015891
[1719/5000][150/535][177459] Loss_D: -0.019196 Loss_G: 0.025479 Loss_D_real: -0.008761 Loss_D_fake 0.010435
[1719/5000][155/535][177460] Loss_D: -0.018177 Loss_G: 0.013519 Loss_D_real: -0.019180 Loss_D_fake -0.001003
[1719/5000][160/535][177461] Loss_D: -0.017501 Loss_G: -0.004578 Loss_D_real: -0.018265 Loss_D_fake -0.000763
[1719/5000][165/535][177462] Loss_D: -0.018095 Loss_G: 0.018361 Loss_D_real: -0.016085 Loss_D_fake 0.002010
[1719/5000][170/535][177463] Loss_D: -0.018376 Loss_G: 0.017760 Loss_D_real: -0.016044 Loss_D_fake 0.002332
[1719/5000][175/535][177464] Loss_D: -0.017837 Loss_G: 0.015425 Loss_D_real: -0.027384 Loss_D_fake -0.009547
[1719/5000][180/535][177465] Loss_D: -0.019213 Loss_G: 0.009854 Loss_D_real: -0.018436 Loss_D_fake 0.000777
[1719/5000][185/535][177466] Loss_D: -0.018931 Loss_G: 0.007498 Loss_D_real: -0.015190 Loss_D_fake 0.003741
[1719/5000][190/535][177467] Loss_D: -0.018116 Loss_G: 0.017548 Loss_D_real: -0.023165 Loss_D_fake -0.005050
[1719/5000][195/535][177468] Loss_D: -0.019336 Loss_G: -0.000249 Loss_D_real: -0.023679 Loss_D_fake -0.004343
[1719/5000][200/535][177469] Loss_D: -0.017667 Loss_G: 0.026484 Loss_D_real: -0.011691 Loss_D_fake 0.005976
[1719/5000][205/535][177470] Loss_D: -0.018613 Loss_G: 0.007309 Loss_D_real: -0.021640 Loss_D_fake -0.003027
[1719/5000][210/535][177471] Loss_D: -0.017767 Loss_G: -0.005078 Loss_D_real: -0.003558 Loss_D_fake 0.014209
[1719/5000][215/535][177472] Loss_D: -0.017173 Loss_G: 0.035683 Loss_D_real: -0.029724 Loss_D_fake -0.012551
[1719/5000][220/535][177473] Loss_D: -0.018770 Loss_G: 0.012843 Loss_D_real: -0.022167 Loss_D_fake -0.003397
[1719/5000][225/535][177474] Loss_D: -0.018529 Loss_G: 0.017647 Loss_D_real: -0.021970 Loss_D_fake -0.003440
[1719/5000][230/535][177475] Loss_D: -0.017102 Loss_G: -0.016145 Loss_D_real: 0.008326 Loss_D_fake 0.025428
[1719/5000][235/535][177476] Loss_D: -0.018300 Loss_G: -0.006320 Loss_D_real: -0.004680 Loss_D_fake 0.013620
[1719/5000][240/535][177477] Loss_D: -0.017970 Loss_G: 0.010617 Loss_D_real: -0.026416 Loss_D_fake -0.008446
[1719/5000][245/535][177478] Loss_D: -0.019293 Loss_G: 0.019060 Loss_D_real: -0.018228 Loss_D_fake 0.001065
[1719/5000][250/535][177479] Loss_D: -0.018496 Loss_G: 0.009383 Loss_D_real: -0.011013 Loss_D_fake 0.007483
[1719/5000][255/535][177480] Loss_D: -0.017781 Loss_G: 0.019175 Loss_D_real: -0.021652 Loss_D_fake -0.003871
[1719/5000][260/535][177481] Loss_D: -0.017912 Loss_G: 0.015002 Loss_D_real: -0.023604 Loss_D_fake -0.005692
[1719/5000][265/535][177482] Loss_D: -0.019512 Loss_G: 0.015095 Loss_D_real: -0.012168 Loss_D_fake 0.007344
[1719/5000][270/535][177483] Loss_D: -0.017818 Loss_G: 0.013283 Loss_D_real: -0.016212 Loss_D_fake 0.001606
[1719/5000][275/535][177484] Loss_D: -0.016671 Loss_G: -0.018705 Loss_D_real: -0.003782 Loss_D_fake 0.012889
[1719/5000][280/535][177485] Loss_D: -0.019063 Loss_G: -0.002943 Loss_D_real: -0.010709 Loss_D_fake 0.008354
[1719/5000][285/535][177486] Loss_D: -0.018911 Loss_G: 0.012106 Loss_D_real: -0.004357 Loss_D_fake 0.014554
[1719/5000][290/535][177487] Loss_D: -0.017780 Loss_G: 0.009044 Loss_D_real: -0.019433 Loss_D_fake -0.001653
[1719/5000][295/535][177488] Loss_D: -0.019656 Loss_G: 0.022279 Loss_D_real: -0.024026 Loss_D_fake -0.004370
[1719/5000][300/535][177489] Loss_D: -0.017726 Loss_G: 0.008096 Loss_D_real: -0.019663 Loss_D_fake -0.001937
[1719/5000][305/535][177490] Loss_D: -0.017672 Loss_G: 0.029245 Loss_D_real: -0.029528 Loss_D_fake -0.011856
[1719/5000][310/535][177491] Loss_D: -0.017561 Loss_G: 0.003857 Loss_D_real: -0.019322 Loss_D_fake -0.001761
[1719/5000][315/535][177492] Loss_D: -0.018419 Loss_G: 0.000361 Loss_D_real: -0.015934 Loss_D_fake 0.002485
[1719/5000][320/535][177493] Loss_D: -0.018404 Loss_G: 0.022085 Loss_D_real: -0.024646 Loss_D_fake -0.006242
[1719/5000][325/535][177494] Loss_D: -0.017993 Loss_G: 0.010079 Loss_D_real: -0.018712 Loss_D_fake -0.000719
[1719/5000][330/535][177495] Loss_D: -0.019227 Loss_G: 0.007627 Loss_D_real: -0.012185 Loss_D_fake 0.007042
[1719/5000][335/535][177496] Loss_D: -0.018299 Loss_G: 0.024080 Loss_D_real: -0.002648 Loss_D_fake 0.015651
[1719/5000][340/535][177497] Loss_D: -0.019175 Loss_G: 0.008717 Loss_D_real: -0.011587 Loss_D_fake 0.007588
[1719/5000][345/535][177498] Loss_D: -0.017932 Loss_G: 0.012028 Loss_D_real: -0.017756 Loss_D_fake 0.000176
[1719/5000][350/535][177499] Loss_D: -0.017119 Loss_G: 0.021117 Loss_D_real: -0.015268 Loss_D_fake 0.001850
[1719/5000][355/535][177500] Loss_D: -0.018199 Loss_G: 0.003381 Loss_D_real: -0.023218 Loss_D_fake -0.005019
[1719/5000][455/535][177501] Loss_D: -0.022075 Loss_G: -0.003977 Loss_D_real: -0.005877 Loss_D_fake 0.016198
[1719/5000][460/535][177502] Loss_D: -0.016411 Loss_G: 0.014390 Loss_D_real: -0.016609 Loss_D_fake -0.000198
[1719/5000][465/535][177503] Loss_D: -0.019604 Loss_G: 0.018039 Loss_D_real: -0.026195 Loss_D_fake -0.006591
[1719/5000][470/535][177504] Loss_D: -0.016386 Loss_G: 0.018309 Loss_D_real: -0.019040 Loss_D_fake -0.002654
[1719/5000][475/535][177505] Loss_D: -0.016003 Loss_G: 0.018115 Loss_D_real: -0.016037 Loss_D_fake -0.000034
[1719/5000][480/535][177506] Loss_D: -0.017180 Loss_G: -0.004653 Loss_D_real: 0.006490 Loss_D_fake 0.023671
[1719/5000][485/535][177507] Loss_D: -0.018856 Loss_G: -0.000708 Loss_D_real: -0.016102 Loss_D_fake 0.002754
[1719/5000][490/535][177508] Loss_D: -0.019618 Loss_G: -0.004789 Loss_D_real: -0.024727 Loss_D_fake -0.005108
[1719/5000][495/535][177509] Loss_D: -0.018888 Loss_G: 0.005918 Loss_D_real: -0.028259 Loss_D_fake -0.009371
[1719/5000][500/535][177510] Loss_D: -0.018449 Loss_G: 0.012641 Loss_D_real: -0.021717 Loss_D_fake -0.003269
[1719/5000][505/535][177511] Loss_D: -0.017251 Loss_G: 0.001448 Loss_D_real: -0.009196 Loss_D_fake 0.008055
[1719/5000][510/535][177512] Loss_D: -0.017287 Loss_G: 0.012415 Loss_D_real: -0.019210 Loss_D_fake -0.001923
[1719/5000][515/535][177513] Loss_D: -0.018107 Loss_G: 0.015329 Loss_D_real: -0.026618 Loss_D_fake -0.008510
[1719/5000][520/535][177514] Loss_D: -0.016892 Loss_G: 0.024256 Loss_D_real: -0.023525 Loss_D_fake -0.006632
[1719/5000][525/535][177515] Loss_D: -0.017914 Loss_G: -0.018801 Loss_D_real: -0.005711 Loss_D_fake 0.012203
[1719/5000][530/535][177516] Loss_D: -0.017502 Loss_G: -0.001041 Loss_D_real: -0.006605 Loss_D_fake 0.010897
[1719/5000][535/535][177517] Loss_D: -0.017235 Loss_G: -0.000442 Loss_D_real: -0.011159 Loss_D_fake 0.006077
[1720/5000][5/535][177518] Loss_D: -0.019546 Loss_G: 0.012873 Loss_D_real: -0.007906 Loss_D_fake 0.011640
[1720/5000][10/535][177519] Loss_D: -0.018399 Loss_G: 0.006620 Loss_D_real: -0.023824 Loss_D_fake -0.005425
[1720/5000][15/535][177520] Loss_D: -0.018426 Loss_G: 0.018270 Loss_D_real: -0.036517 Loss_D_fake -0.018091
[1720/5000][20/535][177521] Loss_D: -0.018589 Loss_G: 0.005101 Loss_D_real: -0.007054 Loss_D_fake 0.011535
[1720/5000][25/535][177522] Loss_D: -0.016548 Loss_G: -0.004202 Loss_D_real: -0.009390 Loss_D_fake 0.007158
[1720/5000][30/535][177523] Loss_D: -0.018875 Loss_G: -0.005765 Loss_D_real: -0.011886 Loss_D_fake 0.006990
[1720/5000][35/535][177524] Loss_D: -0.020117 Loss_G: 0.005673 Loss_D_real: -0.007886 Loss_D_fake 0.012231
[1720/5000][40/535][177525] Loss_D: -0.018702 Loss_G: 0.019153 Loss_D_real: -0.029893 Loss_D_fake -0.011191
[1720/5000][45/535][177526] Loss_D: -0.018031 Loss_G: 0.002991 Loss_D_real: -0.006374 Loss_D_fake 0.011657
[1720/5000][50/535][177527] Loss_D: -0.017199 Loss_G: 0.020184 Loss_D_real: -0.019471 Loss_D_fake -0.002272
[1720/5000][55/535][177528] Loss_D: -0.017749 Loss_G: -0.017556 Loss_D_real: 0.000181 Loss_D_fake 0.017930
[1720/5000][60/535][177529] Loss_D: -0.019368 Loss_G: 0.017154 Loss_D_real: -0.012329 Loss_D_fake 0.007039
[1720/5000][65/535][177530] Loss_D: -0.017205 Loss_G: -0.009191 Loss_D_real: -0.001565 Loss_D_fake 0.015640
[1720/5000][70/535][177531] Loss_D: -0.018080 Loss_G: 0.009965 Loss_D_real: -0.027018 Loss_D_fake -0.008938
[1720/5000][75/535][177532] Loss_D: -0.018053 Loss_G: -0.007377 Loss_D_real: -0.000954 Loss_D_fake 0.017098
[1720/5000][80/535][177533] Loss_D: -0.019076 Loss_G: 0.001218 Loss_D_real: 0.003747 Loss_D_fake 0.022824
[1720/5000][85/535][177534] Loss_D: -0.017630 Loss_G: 0.009785 Loss_D_real: -0.015515 Loss_D_fake 0.002115
[1720/5000][90/535][177535] Loss_D: -0.015991 Loss_G: 0.020957 Loss_D_real: -0.040017 Loss_D_fake -0.024025
[1720/5000][95/535][177536] Loss_D: -0.018920 Loss_G: 0.001925 Loss_D_real: -0.003598 Loss_D_fake 0.015322
[1720/5000][100/535][177537] Loss_D: -0.017783 Loss_G: 0.001470 Loss_D_real: -0.007956 Loss_D_fake 0.009827
[1720/5000][105/535][177538] Loss_D: -0.016455 Loss_G: 0.015686 Loss_D_real: -0.021113 Loss_D_fake -0.004658
[1720/5000][110/535][177539] Loss_D: -0.017747 Loss_G: -0.016118 Loss_D_real: -0.008862 Loss_D_fake 0.008885
[1720/5000][115/535][177540] Loss_D: -0.018592 Loss_G: 0.011063 Loss_D_real: -0.003221 Loss_D_fake 0.015371
[1720/5000][120/535][177541] Loss_D: -0.018386 Loss_G: 0.006831 Loss_D_real: -0.016712 Loss_D_fake 0.001675
[1720/5000][125/535][177542] Loss_D: -0.017029 Loss_G: 0.008567 Loss_D_real: -0.029877 Loss_D_fake -0.012848
[1720/5000][130/535][177543] Loss_D: -0.019875 Loss_G: 0.014633 Loss_D_real: -0.013958 Loss_D_fake 0.005916
[1720/5000][135/535][177544] Loss_D: -0.017197 Loss_G: 0.031859 Loss_D_real: -0.030028 Loss_D_fake -0.012831
[1720/5000][140/535][177545] Loss_D: -0.018298 Loss_G: 0.010460 Loss_D_real: -0.016722 Loss_D_fake 0.001576
[1720/5000][145/535][177546] Loss_D: -0.018189 Loss_G: 0.004900 Loss_D_real: -0.002766 Loss_D_fake 0.015423
[1720/5000][150/535][177547] Loss_D: -0.019381 Loss_G: -0.004431 Loss_D_real: -0.025369 Loss_D_fake -0.005988
[1720/5000][155/535][177548] Loss_D: -0.018815 Loss_G: -0.000714 Loss_D_real: -0.026265 Loss_D_fake -0.007450
[1720/5000][160/535][177549] Loss_D: -0.018310 Loss_G: 0.000620 Loss_D_real: -0.018488 Loss_D_fake -0.000178
[1720/5000][165/535][177550] Loss_D: -0.019128 Loss_G: 0.003554 Loss_D_real: -0.017054 Loss_D_fake 0.002074
[1720/5000][170/535][177551] Loss_D: -0.018779 Loss_G: 0.005758 Loss_D_real: -0.001176 Loss_D_fake 0.017603
[1720/5000][175/535][177552] Loss_D: -0.018029 Loss_G: -0.013183 Loss_D_real: -0.012872 Loss_D_fake 0.005157
[1720/5000][180/535][177553] Loss_D: -0.020440 Loss_G: 0.017549 Loss_D_real: -0.024581 Loss_D_fake -0.004142
[1720/5000][185/535][177554] Loss_D: -0.018669 Loss_G: 0.017256 Loss_D_real: -0.030104 Loss_D_fake -0.011435
[1720/5000][190/535][177555] Loss_D: -0.018798 Loss_G: 0.020377 Loss_D_real: -0.028658 Loss_D_fake -0.009859
[1720/5000][195/535][177556] Loss_D: -0.018130 Loss_G: -0.008006 Loss_D_real: -0.004113 Loss_D_fake 0.014017
[1720/5000][200/535][177557] Loss_D: -0.019413 Loss_G: 0.004458 Loss_D_real: -0.010547 Loss_D_fake 0.008866
[1720/5000][205/535][177558] Loss_D: -0.019940 Loss_G: 0.023244 Loss_D_real: -0.011698 Loss_D_fake 0.008242
[1720/5000][210/535][177559] Loss_D: -0.019032 Loss_G: 0.007453 Loss_D_real: -0.020866 Loss_D_fake -0.001834
[1720/5000][215/535][177560] Loss_D: -0.019070 Loss_G: 0.016943 Loss_D_real: -0.015686 Loss_D_fake 0.003385
[1720/5000][220/535][177561] Loss_D: -0.016110 Loss_G: -0.019741 Loss_D_real: 0.005656 Loss_D_fake 0.021766
[1720/5000][225/535][177562] Loss_D: -0.017965 Loss_G: -0.001279 Loss_D_real: -0.009571 Loss_D_fake 0.008394
[1720/5000][230/535][177563] Loss_D: -0.018042 Loss_G: 0.002890 Loss_D_real: -0.019436 Loss_D_fake -0.001394
[1720/5000][235/535][177564] Loss_D: -0.018372 Loss_G: 0.001254 Loss_D_real: -0.014844 Loss_D_fake 0.003528
[1720/5000][240/535][177565] Loss_D: -0.018449 Loss_G: -0.001640 Loss_D_real: -0.018147 Loss_D_fake 0.000301
[1720/5000][245/535][177566] Loss_D: -0.019092 Loss_G: 0.004897 Loss_D_real: -0.006331 Loss_D_fake 0.012761
[1720/5000][250/535][177567] Loss_D: -0.019483 Loss_G: 0.016456 Loss_D_real: -0.022460 Loss_D_fake -0.002976
[1720/5000][255/535][177568] Loss_D: -0.018621 Loss_G: 0.009254 Loss_D_real: -0.010567 Loss_D_fake 0.008054
[1720/5000][260/535][177569] Loss_D: -0.018468 Loss_G: 0.009890 Loss_D_real: -0.014319 Loss_D_fake 0.004149
[1720/5000][265/535][177570] Loss_D: -0.017277 Loss_G: 0.036884 Loss_D_real: -0.020928 Loss_D_fake -0.003651
[1720/5000][270/535][177571] Loss_D: -0.017389 Loss_G: -0.010112 Loss_D_real: 0.003003 Loss_D_fake 0.020393
[1720/5000][275/535][177572] Loss_D: -0.017740 Loss_G: 0.012773 Loss_D_real: -0.032818 Loss_D_fake -0.015077
[1720/5000][280/535][177573] Loss_D: -0.016948 Loss_G: 0.015593 Loss_D_real: -0.014644 Loss_D_fake 0.002304
[1720/5000][285/535][177574] Loss_D: -0.018900 Loss_G: 0.014163 Loss_D_real: -0.019419 Loss_D_fake -0.000519
[1720/5000][290/535][177575] Loss_D: -0.018487 Loss_G: 0.006869 Loss_D_real: -0.010207 Loss_D_fake 0.008280
[1720/5000][295/535][177576] Loss_D: -0.016869 Loss_G: 0.014483 Loss_D_real: -0.027493 Loss_D_fake -0.010624
[1720/5000][300/535][177577] Loss_D: -0.018110 Loss_G: 0.006502 Loss_D_real: -0.018248 Loss_D_fake -0.000138
[1720/5000][305/535][177578] Loss_D: -0.018722 Loss_G: 0.012393 Loss_D_real: -0.016871 Loss_D_fake 0.001852
[1720/5000][310/535][177579] Loss_D: -0.018113 Loss_G: 0.020649 Loss_D_real: -0.028046 Loss_D_fake -0.009932
[1720/5000][315/535][177580] Loss_D: -0.017278 Loss_G: -0.004698 Loss_D_real: -0.011023 Loss_D_fake 0.006255
[1720/5000][320/535][177581] Loss_D: -0.018043 Loss_G: 0.004433 Loss_D_real: -0.013462 Loss_D_fake 0.004581
[1720/5000][325/535][177582] Loss_D: -0.019337 Loss_G: 0.016334 Loss_D_real: -0.028370 Loss_D_fake -0.009033
[1720/5000][330/535][177583] Loss_D: -0.018219 Loss_G: -0.002121 Loss_D_real: -0.005680 Loss_D_fake 0.012538
[1720/5000][335/535][177584] Loss_D: -0.018151 Loss_G: 0.004396 Loss_D_real: 0.002519 Loss_D_fake 0.020669
[1720/5000][340/535][177585] Loss_D: -0.017775 Loss_G: -0.004527 Loss_D_real: 0.000711 Loss_D_fake 0.018486
[1720/5000][345/535][177586] Loss_D: -0.017910 Loss_G: 0.020134 Loss_D_real: -0.032120 Loss_D_fake -0.014209
[1720/5000][350/535][177587] Loss_D: -0.019608 Loss_G: 0.005814 Loss_D_real: -0.021798 Loss_D_fake -0.002190
[1720/5000][355/535][177588] Loss_D: -0.019046 Loss_G: 0.006511 Loss_D_real: -0.014791 Loss_D_fake 0.004256
[1720/5000][360/535][177589] Loss_D: -0.019243 Loss_G: 0.000451 Loss_D_real: -0.021991 Loss_D_fake -0.002748
[1720/5000][365/535][177590] Loss_D: -0.018964 Loss_G: 0.015169 Loss_D_real: -0.018894 Loss_D_fake 0.000070
[1720/5000][370/535][177591] Loss_D: -0.018780 Loss_G: 0.003626 Loss_D_real: -0.004096 Loss_D_fake 0.014684
[1720/5000][375/535][177592] Loss_D: -0.018616 Loss_G: 0.013046 Loss_D_real: -0.010580 Loss_D_fake 0.008036
[1720/5000][380/535][177593] Loss_D: -0.018117 Loss_G: -0.011056 Loss_D_real: -0.000073 Loss_D_fake 0.018044
[1720/5000][385/535][177594] Loss_D: -0.019333 Loss_G: 0.019516 Loss_D_real: -0.023634 Loss_D_fake -0.004301
[1720/5000][390/535][177595] Loss_D: -0.018953 Loss_G: 0.011099 Loss_D_real: -0.008407 Loss_D_fake 0.010546
[1720/5000][395/535][177596] Loss_D: -0.018203 Loss_G: -0.002797 Loss_D_real: -0.005502 Loss_D_fake 0.012701
[1720/5000][400/535][177597] Loss_D: -0.017620 Loss_G: 0.010733 Loss_D_real: -0.021586 Loss_D_fake -0.003966
[1720/5000][405/535][177598] Loss_D: -0.018677 Loss_G: 0.004601 Loss_D_real: 0.002825 Loss_D_fake 0.021502
[1720/5000][410/535][177599] Loss_D: -0.019855 Loss_G: 0.006240 Loss_D_real: -0.020469 Loss_D_fake -0.000615
[1720/5000][415/535][177600] Loss_D: -0.018736 Loss_G: 0.018182 Loss_D_real: -0.028723 Loss_D_fake -0.009986
[1720/5000][420/535][177601] Loss_D: -0.019064 Loss_G: 0.018694 Loss_D_real: -0.015280 Loss_D_fake 0.003784
[1720/5000][425/535][177602] Loss_D: -0.018229 Loss_G: 0.014740 Loss_D_real: -0.021572 Loss_D_fake -0.003343
[1720/5000][430/535][177603] Loss_D: -0.019022 Loss_G: 0.002595 Loss_D_real: -0.030355 Loss_D_fake -0.011333
[1720/5000][435/535][177604] Loss_D: -0.019556 Loss_G: 0.013722 Loss_D_real: -0.015027 Loss_D_fake 0.004528
[1720/5000][440/535][177605] Loss_D: -0.017882 Loss_G: 0.020640 Loss_D_real: -0.017263 Loss_D_fake 0.000620
[1720/5000][445/535][177606] Loss_D: -0.018911 Loss_G: 0.006427 Loss_D_real: -0.028951 Loss_D_fake -0.010040
[1720/5000][450/535][177607] Loss_D: -0.018521 Loss_G: -0.021955 Loss_D_real: 0.000320 Loss_D_fake 0.018841
[1720/5000][455/535][177608] Loss_D: -0.018527 Loss_G: 0.003993 Loss_D_real: -0.014960 Loss_D_fake 0.003567
[1720/5000][460/535][177609] Loss_D: -0.019398 Loss_G: 0.000059 Loss_D_real: -0.021587 Loss_D_fake -0.002188
[1720/5000][465/535][177610] Loss_D: -0.018192 Loss_G: 0.017825 Loss_D_real: -0.033938 Loss_D_fake -0.015746
[1720/5000][470/535][177611] Loss_D: -0.019066 Loss_G: 0.000994 Loss_D_real: 0.000425 Loss_D_fake 0.019490
[1720/5000][475/535][177612] Loss_D: -0.017209 Loss_G: 0.010003 Loss_D_real: -0.019224 Loss_D_fake -0.002015
[1720/5000][480/535][177613] Loss_D: -0.018028 Loss_G: 0.022921 Loss_D_real: -0.026973 Loss_D_fake -0.008945
[1720/5000][485/535][177614] Loss_D: -0.018205 Loss_G: 0.022692 Loss_D_real: -0.006602 Loss_D_fake 0.011603
[1720/5000][490/535][177615] Loss_D: -0.018762 Loss_G: -0.002808 Loss_D_real: 0.000752 Loss_D_fake 0.019514
[1720/5000][495/535][177616] Loss_D: -0.017449 Loss_G: 0.019771 Loss_D_real: -0.012932 Loss_D_fake 0.004516
[1720/5000][500/535][177617] Loss_D: -0.019793 Loss_G: -0.001265 Loss_D_real: -0.025631 Loss_D_fake -0.005838
[1720/5000][505/535][177618] Loss_D: -0.017466 Loss_G: -0.001640 Loss_D_real: -0.013568 Loss_D_fake 0.003898
[1720/5000][510/535][177619] Loss_D: -0.018461 Loss_G: 0.012682 Loss_D_real: -0.010121 Loss_D_fake 0.008339
[1720/5000][515/535][177620] Loss_D: -0.019432 Loss_G: -0.004643 Loss_D_real: -0.019564 Loss_D_fake -0.000132
[1720/5000][520/535][177621] Loss_D: -0.018084 Loss_G: 0.006592 Loss_D_real: -0.014358 Loss_D_fake 0.003727
[1720/5000][525/535][177622] Loss_D: -0.019946 Loss_G: 0.015879 Loss_D_real: -0.022389 Loss_D_fake -0.002444
[1720/5000][530/535][177623] Loss_D: -0.017361 Loss_G: 0.023096 Loss_D_real: -0.031176 Loss_D_fake -0.013815
[1720/5000][535/535][177624] Loss_D: -0.020663 Loss_G: -0.000957 Loss_D_real: -0.011435 Loss_D_fake 0.009228
[1721/5000][5/535][177625] Loss_D: -0.018370 Loss_G: 0.007929 Loss_D_real: -0.018919 Loss_D_fake -0.000550
[1721/5000][10/535][177626] Loss_D: -0.017939 Loss_G: 0.001705 Loss_D_real: -0.008947 Loss_D_fake 0.008991
[1721/5000][15/535][177627] Loss_D: -0.018375 Loss_G: -0.008038 Loss_D_real: -0.011979 Loss_D_fake 0.006396
[1721/5000][20/535][177628] Loss_D: -0.019029 Loss_G: 0.018082 Loss_D_real: -0.024200 Loss_D_fake -0.005172
[1721/5000][25/535][177629] Loss_D: -0.017432 Loss_G: -0.000337 Loss_D_real: -0.000869 Loss_D_fake 0.016563
[1721/5000][30/535][177630] Loss_D: -0.019150 Loss_G: 0.014898 Loss_D_real: -0.016367 Loss_D_fake 0.002783
[1721/5000][35/535][177631] Loss_D: -0.018864 Loss_G: 0.017180 Loss_D_real: -0.022926 Loss_D_fake -0.004062
[1721/5000][40/535][177632] Loss_D: -0.016344 Loss_G: -0.011998 Loss_D_real: -0.003028 Loss_D_fake 0.013316
[1721/5000][45/535][177633] Loss_D: -0.018067 Loss_G: 0.019012 Loss_D_real: -0.016775 Loss_D_fake 0.001291
[1721/5000][50/535][177634] Loss_D: -0.016755 Loss_G: -0.011795 Loss_D_real: -0.000290 Loss_D_fake 0.016466
[1721/5000][55/535][177635] Loss_D: -0.019157 Loss_G: 0.009267 Loss_D_real: -0.014961 Loss_D_fake 0.004196
[1721/5000][60/535][177636] Loss_D: -0.019693 Loss_G: 0.021900 Loss_D_real: -0.023065 Loss_D_fake -0.003373
[1721/5000][65/535][177637] Loss_D: -0.017193 Loss_G: 0.014894 Loss_D_real: -0.021261 Loss_D_fake -0.004068
[1721/5000][70/535][177638] Loss_D: -0.018319 Loss_G: 0.004052 Loss_D_real: -0.003204 Loss_D_fake 0.015115
[1721/5000][75/535][177639] Loss_D: -0.018658 Loss_G: 0.001791 Loss_D_real: -0.022662 Loss_D_fake -0.004004
[1721/5000][80/535][177640] Loss_D: -0.019456 Loss_G: 0.010068 Loss_D_real: -0.024909 Loss_D_fake -0.005453
[1721/5000][85/535][177641] Loss_D: -0.018531 Loss_G: 0.003423 Loss_D_real: -0.011909 Loss_D_fake 0.006621
[1721/5000][90/535][177642] Loss_D: -0.019000 Loss_G: -0.002940 Loss_D_real: -0.008157 Loss_D_fake 0.010843
[1721/5000][95/535][177643] Loss_D: -0.018877 Loss_G: 0.006373 Loss_D_real: -0.011375 Loss_D_fake 0.007502
[1721/5000][100/535][177644] Loss_D: -0.016957 Loss_G: 0.021937 Loss_D_real: -0.025488 Loss_D_fake -0.008530
[1721/5000][105/535][177645] Loss_D: -0.017510 Loss_G: 0.019830 Loss_D_real: -0.028440 Loss_D_fake -0.010931
[1721/5000][110/535][177646] Loss_D: -0.016219 Loss_G: 0.022053 Loss_D_real: -0.025480 Loss_D_fake -0.009261
[1721/5000][115/535][177647] Loss_D: -0.019847 Loss_G: 0.023404 Loss_D_real: -0.027196 Loss_D_fake -0.007349
[1721/5000][120/535][177648] Loss_D: -0.019085 Loss_G: 0.019908 Loss_D_real: -0.017198 Loss_D_fake 0.001887
[1721/5000][125/535][177649] Loss_D: -0.018566 Loss_G: 0.014337 Loss_D_real: -0.023643 Loss_D_fake -0.005077
[1721/5000][130/535][177650] Loss_D: -0.018070 Loss_G: -0.000594 Loss_D_real: -0.009710 Loss_D_fake 0.008360
[1721/5000][135/535][177651] Loss_D: -0.018033 Loss_G: 0.004888 Loss_D_real: -0.028222 Loss_D_fake -0.010190
[1721/5000][140/535][177652] Loss_D: -0.019040 Loss_G: -0.008465 Loss_D_real: -0.006193 Loss_D_fake 0.012847
[1721/5000][145/535][177653] Loss_D: -0.019110 Loss_G: 0.007633 Loss_D_real: -0.019024 Loss_D_fake 0.000086
[1721/5000][150/535][177654] Loss_D: -0.018832 Loss_G: -0.003761 Loss_D_real: -0.001651 Loss_D_fake 0.017181
[1721/5000][155/535][177655] Loss_D: -0.018367 Loss_G: 0.010417 Loss_D_real: -0.020100 Loss_D_fake -0.001733
[1721/5000][160/535][177656] Loss_D: -0.017954 Loss_G: 0.003266 Loss_D_real: -0.019251 Loss_D_fake -0.001297
[1721/5000][165/535][177657] Loss_D: -0.017207 Loss_G: 0.010800 Loss_D_real: -0.004780 Loss_D_fake 0.012428
[1721/5000][170/535][177658] Loss_D: -0.018714 Loss_G: 0.000789 Loss_D_real: -0.015403 Loss_D_fake 0.003311
[1721/5000][175/535][177659] Loss_D: -0.019038 Loss_G: 0.017219 Loss_D_real: 0.001859 Loss_D_fake 0.020896
[1721/5000][180/535][177660] Loss_D: -0.018813 Loss_G: 0.000194 Loss_D_real: -0.018707 Loss_D_fake 0.000107
[1721/5000][185/535][177661] Loss_D: -0.015807 Loss_G: -0.021955 Loss_D_real: -0.002802 Loss_D_fake 0.013005
[1721/5000][190/535][177662] Loss_D: -0.019415 Loss_G: 0.023039 Loss_D_real: -0.023068 Loss_D_fake -0.003653
[1721/5000][195/535][177663] Loss_D: -0.018267 Loss_G: 0.005285 Loss_D_real: -0.013267 Loss_D_fake 0.005000
[1721/5000][200/535][177664] Loss_D: -0.019399 Loss_G: -0.001885 Loss_D_real: -0.013632 Loss_D_fake 0.005767
[1721/5000][205/535][177665] Loss_D: -0.019444 Loss_G: -0.012572 Loss_D_real: -0.000990 Loss_D_fake 0.018454
[1721/5000][210/535][177666] Loss_D: -0.018847 Loss_G: 0.017842 Loss_D_real: -0.015860 Loss_D_fake 0.002987
[1721/5000][215/535][177667] Loss_D: -0.018998 Loss_G: 0.010750 Loss_D_real: -0.032803 Loss_D_fake -0.013805
[1721/5000][220/535][177668] Loss_D: -0.019320 Loss_G: 0.008331 Loss_D_real: -0.019428 Loss_D_fake -0.000108
[1721/5000][225/535][177669] Loss_D: -0.017233 Loss_G: 0.035663 Loss_D_real: -0.024218 Loss_D_fake -0.006986
[1721/5000][230/535][177670] Loss_D: -0.018430 Loss_G: 0.001747 Loss_D_real: -0.027580 Loss_D_fake -0.009149
[1721/5000][235/535][177671] Loss_D: -0.018320 Loss_G: -0.013188 Loss_D_real: -0.007658 Loss_D_fake 0.010662
[1721/5000][240/535][177672] Loss_D: -0.019237 Loss_G: 0.016243 Loss_D_real: -0.011876 Loss_D_fake 0.007361
[1721/5000][245/535][177673] Loss_D: -0.017891 Loss_G: 0.016029 Loss_D_real: -0.030982 Loss_D_fake -0.013091
[1721/5000][250/535][177674] Loss_D: -0.019204 Loss_G: 0.004593 Loss_D_real: -0.014064 Loss_D_fake 0.005141
[1721/5000][255/535][177675] Loss_D: -0.018780 Loss_G: -0.007184 Loss_D_real: -0.008120 Loss_D_fake 0.010660
[1721/5000][260/535][177676] Loss_D: -0.019167 Loss_G: 0.010844 Loss_D_real: -0.017236 Loss_D_fake 0.001931
[1721/5000][265/535][177677] Loss_D: -0.018762 Loss_G: 0.014282 Loss_D_real: -0.014823 Loss_D_fake 0.003939
[1721/5000][270/535][177678] Loss_D: -0.016605 Loss_G: 0.023280 Loss_D_real: -0.021062 Loss_D_fake -0.004458
[1721/5000][275/535][177679] Loss_D: -0.017467 Loss_G: 0.021460 Loss_D_real: -0.031808 Loss_D_fake -0.014341
[1721/5000][280/535][177680] Loss_D: -0.018874 Loss_G: -0.022851 Loss_D_real: -0.000925 Loss_D_fake 0.017949
[1721/5000][285/535][177681] Loss_D: -0.016820 Loss_G: 0.009295 Loss_D_real: -0.025023 Loss_D_fake -0.008204
[1721/5000][290/535][177682] Loss_D: -0.016976 Loss_G: -0.005396 Loss_D_real: -0.015281 Loss_D_fake 0.001694
[1721/5000][295/535][177683] Loss_D: -0.018355 Loss_G: 0.011173 Loss_D_real: -0.012941 Loss_D_fake 0.005414
[1721/5000][300/535][177684] Loss_D: -0.017639 Loss_G: -0.011673 Loss_D_real: -0.010374 Loss_D_fake 0.007265
[1721/5000][305/535][177685] Loss_D: -0.017714 Loss_G: 0.037307 Loss_D_real: -0.029270 Loss_D_fake -0.011556
[1721/5000][310/535][177686] Loss_D: -0.017845 Loss_G: -0.004139 Loss_D_real: -0.027257 Loss_D_fake -0.009411
[1721/5000][315/535][177687] Loss_D: -0.019699 Loss_G: 0.010739 Loss_D_real: -0.014416 Loss_D_fake 0.005284
[1721/5000][320/535][177688] Loss_D: -0.018028 Loss_G: 0.002825 Loss_D_real: -0.012509 Loss_D_fake 0.005519
[1721/5000][325/535][177689] Loss_D: -0.019122 Loss_G: 0.002916 Loss_D_real: -0.007499 Loss_D_fake 0.011623
[1721/5000][330/535][177690] Loss_D: -0.016356 Loss_G: 0.039489 Loss_D_real: -0.025731 Loss_D_fake -0.009375
[1721/5000][335/535][177691] Loss_D: -0.019073 Loss_G: -0.001892 Loss_D_real: -0.013081 Loss_D_fake 0.005991
[1721/5000][340/535][177692] Loss_D: -0.018354 Loss_G: 0.002126 Loss_D_real: -0.012141 Loss_D_fake 0.006213
[1721/5000][345/535][177693] Loss_D: -0.017718 Loss_G: -0.013460 Loss_D_real: -0.015897 Loss_D_fake 0.001821
[1721/5000][350/535][177694] Loss_D: -0.018622 Loss_G: -0.012932 Loss_D_real: -0.007662 Loss_D_fake 0.010960
[1721/5000][355/535][177695] Loss_D: -0.019680 Loss_G: 0.001877 Loss_D_real: -0.001937 Loss_D_fake 0.017743
[1721/5000][360/535][177696] Loss_D: -0.018839 Loss_G: 0.006446 Loss_D_real: 0.000343 Loss_D_fake 0.019182
[1721/5000][365/535][177697] Loss_D: -0.017781 Loss_G: 0.037099 Loss_D_real: -0.027985 Loss_D_fake -0.010204
[1721/5000][370/535][177698] Loss_D: -0.019522 Loss_G: 0.005112 Loss_D_real: -0.018235 Loss_D_fake 0.001287
[1721/5000][375/535][177699] Loss_D: -0.019266 Loss_G: -0.006792 Loss_D_real: -0.016406 Loss_D_fake 0.002861
[1721/5000][380/535][177700] Loss_D: -0.018815 Loss_G: 0.002859 Loss_D_real: -0.008399 Loss_D_fake 0.010416
[1721/5000][385/535][177701] Loss_D: -0.018768 Loss_G: -0.009684 Loss_D_real: -0.024097 Loss_D_fake -0.005329
[1721/5000][390/535][177702] Loss_D: -0.019088 Loss_G: 0.002857 Loss_D_real: -0.008496 Loss_D_fake 0.010591
[1721/5000][395/535][177703] Loss_D: -0.019746 Loss_G: 0.002381 Loss_D_real: -0.008946 Loss_D_fake 0.010800
[1721/5000][400/535][177704] Loss_D: -0.019869 Loss_G: 0.011885 Loss_D_real: -0.028612 Loss_D_fake -0.008742
[1721/5000][405/535][177705] Loss_D: -0.019771 Loss_G: 0.012153 Loss_D_real: -0.021668 Loss_D_fake -0.001897
[1721/5000][410/535][177706] Loss_D: -0.021497 Loss_G: 0.003981 Loss_D_real: -0.005705 Loss_D_fake 0.015792
[1721/5000][415/535][177707] Loss_D: -0.017205 Loss_G: 0.020381 Loss_D_real: -0.017330 Loss_D_fake -0.000124
[1721/5000][420/535][177708] Loss_D: -0.017716 Loss_G: 0.003722 Loss_D_real: -0.012266 Loss_D_fake 0.005450
[1721/5000][425/535][177709] Loss_D: -0.017763 Loss_G: -0.000626 Loss_D_real: -0.009121 Loss_D_fake 0.008642
[1721/5000][430/535][177710] Loss_D: -0.017261 Loss_G: -0.008157 Loss_D_real: -0.021482 Loss_D_fake -0.004221
[1721/5000][435/535][177711] Loss_D: -0.018464 Loss_G: 0.025232 Loss_D_real: -0.022004 Loss_D_fake -0.003539
[1721/5000][440/535][177712] Loss_D: -0.019003 Loss_G: 0.009265 Loss_D_real: -0.010497 Loss_D_fake 0.008505
[1721/5000][445/535][177713] Loss_D: -0.020106 Loss_G: 0.012398 Loss_D_real: -0.034066 Loss_D_fake -0.013960
[1721/5000][450/535][177714] Loss_D: -0.019263 Loss_G: 0.019857 Loss_D_real: -0.025140 Loss_D_fake -0.005877
[1721/5000][455/535][177715] Loss_D: -0.019292 Loss_G: 0.001935 Loss_D_real: -0.016936 Loss_D_fake 0.002357
[1721/5000][460/535][177716] Loss_D: -0.020008 Loss_G: 0.012354 Loss_D_real: -0.016582 Loss_D_fake 0.003426
[1721/5000][465/535][177717] Loss_D: -0.018539 Loss_G: -0.001095 Loss_D_real: -0.013111 Loss_D_fake 0.005428
[1721/5000][470/535][177718] Loss_D: -0.018442 Loss_G: 0.008556 Loss_D_real: -0.025662 Loss_D_fake -0.007220
[1721/5000][475/535][177719] Loss_D: -0.018306 Loss_G: 0.011245 Loss_D_real: -0.023863 Loss_D_fake -0.005557
[1721/5000][480/535][177720] Loss_D: -0.020013 Loss_G: 0.012403 Loss_D_real: -0.006811 Loss_D_fake 0.013201
[1721/5000][485/535][177721] Loss_D: -0.017649 Loss_G: 0.002960 Loss_D_real: -0.022586 Loss_D_fake -0.004937
[1721/5000][490/535][177722] Loss_D: -0.018621 Loss_G: 0.014320 Loss_D_real: -0.023388 Loss_D_fake -0.004767
[1721/5000][495/535][177723] Loss_D: -0.018899 Loss_G: -0.001409 Loss_D_real: -0.010538 Loss_D_fake 0.008361
[1721/5000][500/535][177724] Loss_D: -0.018429 Loss_G: -0.006492 Loss_D_real: -0.007066 Loss_D_fake 0.011363
[1721/5000][505/535][177725] Loss_D: -0.017254 Loss_G: 0.016309 Loss_D_real: -0.019878 Loss_D_fake -0.002624
[1721/5000][510/535][177726] Loss_D: -0.019616 Loss_G: 0.021484 Loss_D_real: -0.018834 Loss_D_fake 0.000782
[1721/5000][515/535][177727] Loss_D: -0.017383 Loss_G: 0.011936 Loss_D_real: -0.017430 Loss_D_fake -0.000047
[1721/5000][520/535][177728] Loss_D: -0.019084 Loss_G: 0.007274 Loss_D_real: -0.015424 Loss_D_fake 0.003660
[1721/5000][525/535][177729] Loss_D: -0.019479 Loss_G: 0.009338 Loss_D_real: -0.017465 Loss_D_fake 0.002013
[1721/5000][530/535][177730] Loss_D: -0.017819 Loss_G: 0.014886 Loss_D_real: -0.021844 Loss_D_fake -0.004025
[1721/5000][535/535][177731] Loss_D: -0.016272 Loss_G: 0.010298 Loss_D_real: -0.012913 Loss_D_fake 0.003359
[1722/5000][5/535][177732] Loss_D: -0.018410 Loss_G: 0.015733 Loss_D_real: -0.031398 Loss_D_fake -0.012988
[1722/5000][10/535][177733] Loss_D: -0.018041 Loss_G: 0.008600 Loss_D_real: -0.014833 Loss_D_fake 0.003208
[1722/5000][15/535][177734] Loss_D: -0.019053 Loss_G: 0.008177 Loss_D_real: -0.019480 Loss_D_fake -0.000427
[1722/5000][20/535][177735] Loss_D: -0.018398 Loss_G: 0.000819 Loss_D_real: -0.026918 Loss_D_fake -0.008520
[1722/5000][25/535][177736] Loss_D: -0.019348 Loss_G: -0.004104 Loss_D_real: -0.015705 Loss_D_fake 0.003643
[1722/5000][30/535][177737] Loss_D: -0.018903 Loss_G: 0.005119 Loss_D_real: -0.017711 Loss_D_fake 0.001192
[1722/5000][35/535][177738] Loss_D: -0.016848 Loss_G: 0.027458 Loss_D_real: -0.034778 Loss_D_fake -0.017931
[1722/5000][40/535][177739] Loss_D: -0.018723 Loss_G: 0.005148 Loss_D_real: -0.006332 Loss_D_fake 0.012392
[1722/5000][45/535][177740] Loss_D: -0.018362 Loss_G: 0.000295 Loss_D_real: 0.004860 Loss_D_fake 0.023222
[1722/5000][50/535][177741] Loss_D: -0.019131 Loss_G: -0.012253 Loss_D_real: -0.008802 Loss_D_fake 0.010330
[1722/5000][55/535][177742] Loss_D: -0.019361 Loss_G: 0.001950 Loss_D_real: -0.010985 Loss_D_fake 0.008376
[1722/5000][60/535][177743] Loss_D: -0.019136 Loss_G: 0.004742 Loss_D_real: -0.009312 Loss_D_fake 0.009823
[1722/5000][65/535][177744] Loss_D: -0.018952 Loss_G: 0.017767 Loss_D_real: -0.019143 Loss_D_fake -0.000191
[1722/5000][70/535][177745] Loss_D: -0.019768 Loss_G: 0.011381 Loss_D_real: -0.020537 Loss_D_fake -0.000769
[1722/5000][75/535][177746] Loss_D: -0.019223 Loss_G: 0.000364 Loss_D_real: -0.005945 Loss_D_fake 0.013279
[1722/5000][80/535][177747] Loss_D: -0.019601 Loss_G: 0.008597 Loss_D_real: -0.025384 Loss_D_fake -0.005783
[1722/5000][85/535][177748] Loss_D: -0.018954 Loss_G: 0.000789 Loss_D_real: -0.004823 Loss_D_fake 0.014131
[1722/5000][90/535][177749] Loss_D: -0.017931 Loss_G: 0.009870 Loss_D_real: -0.040282 Loss_D_fake -0.022351
[1722/5000][95/535][177750] Loss_D: -0.017575 Loss_G: 0.007611 Loss_D_real: -0.006638 Loss_D_fake 0.010937
[1722/5000][100/535][177751] Loss_D: -0.017251 Loss_G: 0.020872 Loss_D_real: -0.034847 Loss_D_fake -0.017595
[1722/5000][105/535][177752] Loss_D: -0.018911 Loss_G: -0.000149 Loss_D_real: -0.022045 Loss_D_fake -0.003135
[1722/5000][110/535][177753] Loss_D: -0.018659 Loss_G: 0.019572 Loss_D_real: -0.022967 Loss_D_fake -0.004308
[1722/5000][115/535][177754] Loss_D: -0.017598 Loss_G: 0.010942 Loss_D_real: -0.025096 Loss_D_fake -0.007498
[1722/5000][120/535][177755] Loss_D: -0.017381 Loss_G: -0.002072 Loss_D_real: -0.009074 Loss_D_fake 0.008306
[1722/5000][125/535][177756] Loss_D: -0.017859 Loss_G: 0.021492 Loss_D_real: -0.027240 Loss_D_fake -0.009381
[1722/5000][130/535][177757] Loss_D: -0.018458 Loss_G: 0.022409 Loss_D_real: -0.012722 Loss_D_fake 0.005736
[1722/5000][135/535][177758] Loss_D: -0.018933 Loss_G: 0.015090 Loss_D_real: -0.014054 Loss_D_fake 0.004879
[1722/5000][140/535][177759] Loss_D: -0.018392 Loss_G: 0.006044 Loss_D_real: -0.015202 Loss_D_fake 0.003190
[1722/5000][145/535][177760] Loss_D: -0.017896 Loss_G: -0.000198 Loss_D_real: -0.008504 Loss_D_fake 0.009392
[1722/5000][150/535][177761] Loss_D: -0.017750 Loss_G: 0.006926 Loss_D_real: -0.032393 Loss_D_fake -0.014643
[1722/5000][155/535][177762] Loss_D: -0.019538 Loss_G: 0.012576 Loss_D_real: -0.017448 Loss_D_fake 0.002089
[1722/5000][160/535][177763] Loss_D: -0.018018 Loss_G: 0.000872 Loss_D_real: -0.007173 Loss_D_fake 0.010845
[1722/5000][165/535][177764] Loss_D: -0.018845 Loss_G: 0.011936 Loss_D_real: -0.006617 Loss_D_fake 0.012228
[1722/5000][170/535][177765] Loss_D: -0.019173 Loss_G: 0.015532 Loss_D_real: -0.015066 Loss_D_fake 0.004107
[1722/5000][175/535][177766] Loss_D: -0.017499 Loss_G: 0.017182 Loss_D_real: -0.027610 Loss_D_fake -0.010112
[1722/5000][180/535][177767] Loss_D: -0.018730 Loss_G: 0.011522 Loss_D_real: -0.025499 Loss_D_fake -0.006769
[1722/5000][185/535][177768] Loss_D: -0.019144 Loss_G: 0.005410 Loss_D_real: -0.025696 Loss_D_fake -0.006551
[1722/5000][190/535][177769] Loss_D: -0.018424 Loss_G: 0.001254 Loss_D_real: -0.009891 Loss_D_fake 0.008533
[1722/5000][195/535][177770] Loss_D: -0.018019 Loss_G: 0.008122 Loss_D_real: -0.023323 Loss_D_fake -0.005303
[1722/5000][200/535][177771] Loss_D: -0.018831 Loss_G: 0.006206 Loss_D_real: -0.022718 Loss_D_fake -0.003887
[1722/5000][205/535][177772] Loss_D: -0.019342 Loss_G: 0.004357 Loss_D_real: -0.003557 Loss_D_fake 0.015785
[1722/5000][210/535][177773] Loss_D: -0.018065 Loss_G: 0.005414 Loss_D_real: 0.000315 Loss_D_fake 0.018380
[1722/5000][215/535][177774] Loss_D: -0.018856 Loss_G: 0.001662 Loss_D_real: -0.017039 Loss_D_fake 0.001817
[1722/5000][220/535][177775] Loss_D: -0.018236 Loss_G: 0.002753 Loss_D_real: -0.017703 Loss_D_fake 0.000533
[1722/5000][225/535][177776] Loss_D: -0.018301 Loss_G: 0.010709 Loss_D_real: -0.020711 Loss_D_fake -0.002410
[1722/5000][230/535][177777] Loss_D: -0.017094 Loss_G: 0.018913 Loss_D_real: -0.024558 Loss_D_fake -0.007463
[1722/5000][235/535][177778] Loss_D: -0.019020 Loss_G: -0.013137 Loss_D_real: -0.005894 Loss_D_fake 0.013126
[1722/5000][240/535][177779] Loss_D: -0.019933 Loss_G: -0.000468 Loss_D_real: -0.015274 Loss_D_fake 0.004660
[1722/5000][245/535][177780] Loss_D: -0.020191 Loss_G: 0.020630 Loss_D_real: -0.012784 Loss_D_fake 0.007407
[1722/5000][250/535][177781] Loss_D: -0.017948 Loss_G: 0.026986 Loss_D_real: -0.020649 Loss_D_fake -0.002701
[1722/5000][255/535][177782] Loss_D: -0.018098 Loss_G: 0.003445 Loss_D_real: 0.001942 Loss_D_fake 0.020041
[1722/5000][260/535][177783] Loss_D: -0.018443 Loss_G: 0.000889 Loss_D_real: -0.003041 Loss_D_fake 0.015402
[1722/5000][265/535][177784] Loss_D: -0.019691 Loss_G: 0.013442 Loss_D_real: -0.022454 Loss_D_fake -0.002763
[1722/5000][270/535][177785] Loss_D: -0.018123 Loss_G: -0.002157 Loss_D_real: -0.002365 Loss_D_fake 0.015758
[1722/5000][275/535][177786] Loss_D: -0.018427 Loss_G: 0.024716 Loss_D_real: -0.023173 Loss_D_fake -0.004746
[1722/5000][280/535][177787] Loss_D: -0.018399 Loss_G: 0.002642 Loss_D_real: -0.003714 Loss_D_fake 0.014686
[1722/5000][285/535][177788] Loss_D: -0.017364 Loss_G: 0.012342 Loss_D_real: -0.020257 Loss_D_fake -0.002894
[1722/5000][290/535][177789] Loss_D: -0.017481 Loss_G: 0.015964 Loss_D_real: -0.025357 Loss_D_fake -0.007876
[1722/5000][295/535][177790] Loss_D: -0.017374 Loss_G: -0.019144 Loss_D_real: -0.004975 Loss_D_fake 0.012400
[1722/5000][300/535][177791] Loss_D: -0.018908 Loss_G: 0.004895 Loss_D_real: -0.005989 Loss_D_fake 0.012919
[1722/5000][305/535][177792] Loss_D: -0.018558 Loss_G: -0.001711 Loss_D_real: -0.006563 Loss_D_fake 0.011995
[1722/5000][310/535][177793] Loss_D: -0.019087 Loss_G: -0.012865 Loss_D_real: -0.008066 Loss_D_fake 0.011021
[1722/5000][315/535][177794] Loss_D: -0.019772 Loss_G: 0.009395 Loss_D_real: -0.009823 Loss_D_fake 0.009949
[1722/5000][320/535][177795] Loss_D: -0.019015 Loss_G: -0.004113 Loss_D_real: -0.013277 Loss_D_fake 0.005737
[1722/5000][325/535][177796] Loss_D: -0.019230 Loss_G: 0.015578 Loss_D_real: -0.019177 Loss_D_fake 0.000053
[1722/5000][330/535][177797] Loss_D: -0.019736 Loss_G: 0.015911 Loss_D_real: -0.011876 Loss_D_fake 0.007859
[1722/5000][335/535][177798] Loss_D: -0.018242 Loss_G: 0.016928 Loss_D_real: -0.014066 Loss_D_fake 0.004176
[1722/5000][340/535][177799] Loss_D: -0.018331 Loss_G: -0.000109 Loss_D_real: 0.000186 Loss_D_fake 0.018517
[1722/5000][345/535][177800] Loss_D: -0.018426 Loss_G: 0.002641 Loss_D_real: -0.029953 Loss_D_fake -0.011527
[1722/5000][350/535][177801] Loss_D: -0.018521 Loss_G: 0.021349 Loss_D_real: -0.018275 Loss_D_fake 0.000246
[1722/5000][355/535][177802] Loss_D: -0.018324 Loss_G: 0.003777 Loss_D_real: -0.003486 Loss_D_fake 0.014837
[1722/5000][360/535][177803] Loss_D: -0.018725 Loss_G: -0.018578 Loss_D_real: -0.000972 Loss_D_fake 0.017753
[1722/5000][365/535][177804] Loss_D: -0.018082 Loss_G: 0.014808 Loss_D_real: -0.019556 Loss_D_fake -0.001474
[1722/5000][370/535][177805] Loss_D: -0.018601 Loss_G: 0.004058 Loss_D_real: -0.002543 Loss_D_fake 0.016059
[1722/5000][375/535][177806] Loss_D: -0.017852 Loss_G: 0.002281 Loss_D_real: -0.016105 Loss_D_fake 0.001747
[1722/5000][380/535][177807] Loss_D: -0.018514 Loss_G: 0.002446 Loss_D_real: -0.011106 Loss_D_fake 0.007409
[1722/5000][385/535][177808] Loss_D: -0.018591 Loss_G: 0.019928 Loss_D_real: -0.020745 Loss_D_fake -0.002154
[1722/5000][390/535][177809] Loss_D: -0.017255 Loss_G: 0.019936 Loss_D_real: -0.034300 Loss_D_fake -0.017045
[1722/5000][395/535][177810] Loss_D: -0.020056 Loss_G: 0.004186 Loss_D_real: -0.014151 Loss_D_fake 0.005905
[1722/5000][400/535][177811] Loss_D: -0.018235 Loss_G: 0.002793 Loss_D_real: -0.002427 Loss_D_fake 0.015808
[1722/5000][405/535][177812] Loss_D: -0.017262 Loss_G: 0.008088 Loss_D_real: -0.027265 Loss_D_fake -0.010002
[1722/5000][410/535][177813] Loss_D: -0.018544 Loss_G: 0.000338 Loss_D_real: -0.020308 Loss_D_fake -0.001764
[1722/5000][415/535][177814] Loss_D: -0.017146 Loss_G: -0.022089 Loss_D_real: 0.004222 Loss_D_fake 0.021367
[1722/5000][420/535][177815] Loss_D: -0.016517 Loss_G: -0.009235 Loss_D_real: -0.007098 Loss_D_fake 0.009419
[1722/5000][425/535][177816] Loss_D: -0.017424 Loss_G: 0.000528 Loss_D_real: -0.011572 Loss_D_fake 0.005852
[1722/5000][430/535][177817] Loss_D: -0.018818 Loss_G: 0.014994 Loss_D_real: -0.021282 Loss_D_fake -0.002464
[1722/5000][435/535][177818] Loss_D: -0.018585 Loss_G: 0.022999 Loss_D_real: -0.023613 Loss_D_fake -0.005028
[1722/5000][440/535][177819] Loss_D: -0.018235 Loss_G: 0.001072 Loss_D_real: -0.012233 Loss_D_fake 0.006003
[1722/5000][445/535][177820] Loss_D: -0.018839 Loss_G: 0.022760 Loss_D_real: -0.021955 Loss_D_fake -0.003116
[1722/5000][450/535][177821] Loss_D: -0.017881 Loss_G: 0.008197 Loss_D_real: -0.026576 Loss_D_fake -0.008695
[1722/5000][455/535][177822] Loss_D: -0.018204 Loss_G: 0.011327 Loss_D_real: -0.020470 Loss_D_fake -0.002267
[1722/5000][460/535][177823] Loss_D: -0.018174 Loss_G: 0.011008 Loss_D_real: -0.017352 Loss_D_fake 0.000823
[1722/5000][465/535][177824] Loss_D: -0.018960 Loss_G: 0.012921 Loss_D_real: -0.022615 Loss_D_fake -0.003655
[1722/5000][470/535][177825] Loss_D: -0.019805 Loss_G: -0.019473 Loss_D_real: -0.005932 Loss_D_fake 0.013872
[1722/5000][475/535][177826] Loss_D: -0.019385 Loss_G: 0.018449 Loss_D_real: -0.024486 Loss_D_fake -0.005101
[1722/5000][480/535][177827] Loss_D: -0.018832 Loss_G: 0.023487 Loss_D_real: -0.031472 Loss_D_fake -0.012640
[1722/5000][485/535][177828] Loss_D: -0.019336 Loss_G: -0.002958 Loss_D_real: -0.012104 Loss_D_fake 0.007232
[1722/5000][490/535][177829] Loss_D: -0.017952 Loss_G: 0.004062 Loss_D_real: -0.017501 Loss_D_fake 0.000451
[1722/5000][495/535][177830] Loss_D: -0.019822 Loss_G: 0.017768 Loss_D_real: -0.024425 Loss_D_fake -0.004603
[1722/5000][500/535][177831] Loss_D: -0.017524 Loss_G: 0.018487 Loss_D_real: -0.029348 Loss_D_fake -0.011823
[1722/5000][505/535][177832] Loss_D: -0.018069 Loss_G: 0.005503 Loss_D_real: -0.018953 Loss_D_fake -0.000883
[1722/5000][510/535][177833] Loss_D: -0.019551 Loss_G: -0.008654 Loss_D_real: -0.002491 Loss_D_fake 0.017060
[1722/5000][515/535][177834] Loss_D: -0.016956 Loss_G: 0.034409 Loss_D_real: -0.026566 Loss_D_fake -0.009611
[1722/5000][520/535][177835] Loss_D: -0.019507 Loss_G: 0.008194 Loss_D_real: -0.022167 Loss_D_fake -0.002661
[1722/5000][525/535][177836] Loss_D: -0.019909 Loss_G: 0.008314 Loss_D_real: -0.016478 Loss_D_fake 0.003431
[1722/5000][530/535][177837] Loss_D: -0.018771 Loss_G: 0.012932 Loss_D_real: -0.010889 Loss_D_fake 0.007882
[1722/5000][535/535][177838] Loss_D: -0.018849 Loss_G: 0.011329 Loss_D_real: -0.033382 Loss_D_fake -0.014533
[1723/5000][5/535][177839] Loss_D: -0.019931 Loss_G: 0.015760 Loss_D_real: -0.026725 Loss_D_fake -0.006793
[1723/5000][10/535][177840] Loss_D: -0.019086 Loss_G: 0.006792 Loss_D_real: -0.014537 Loss_D_fake 0.004549
[1723/5000][15/535][177841] Loss_D: -0.018503 Loss_G: 0.020860 Loss_D_real: -0.024603 Loss_D_fake -0.006099
[1723/5000][20/535][177842] Loss_D: -0.018267 Loss_G: 0.014244 Loss_D_real: -0.015190 Loss_D_fake 0.003078
[1723/5000][25/535][177843] Loss_D: -0.019258 Loss_G: -0.021485 Loss_D_real: -0.016998 Loss_D_fake 0.002260
[1723/5000][30/535][177844] Loss_D: -0.019313 Loss_G: 0.006659 Loss_D_real: -0.030596 Loss_D_fake -0.011283
[1723/5000][35/535][177845] Loss_D: -0.018114 Loss_G: -0.000241 Loss_D_real: -0.017080 Loss_D_fake 0.001035
[1723/5000][40/535][177846] Loss_D: -0.018960 Loss_G: 0.011640 Loss_D_real: 0.001716 Loss_D_fake 0.020676
[1723/5000][45/535][177847] Loss_D: -0.017703 Loss_G: -0.006011 Loss_D_real: -0.019703 Loss_D_fake -0.002001
[1723/5000][50/535][177848] Loss_D: -0.017633 Loss_G: 0.008905 Loss_D_real: -0.023162 Loss_D_fake -0.005528
[1723/5000][55/535][177849] Loss_D: -0.018685 Loss_G: 0.012373 Loss_D_real: -0.009843 Loss_D_fake 0.008841
[1723/5000][60/535][177850] Loss_D: -0.018041 Loss_G: 0.009244 Loss_D_real: -0.009235 Loss_D_fake 0.008806
[1723/5000][65/535][177851] Loss_D: -0.018331 Loss_G: 0.001450 Loss_D_real: -0.011307 Loss_D_fake 0.007025
[1723/5000][70/535][177852] Loss_D: -0.017228 Loss_G: 0.003249 Loss_D_real: -0.011810 Loss_D_fake 0.005419
[1723/5000][75/535][177853] Loss_D: -0.019553 Loss_G: 0.001523 Loss_D_real: -0.020336 Loss_D_fake -0.000783
[1723/5000][80/535][177854] Loss_D: -0.018942 Loss_G: 0.017279 Loss_D_real: -0.017313 Loss_D_fake 0.001629
[1723/5000][85/535][177855] Loss_D: -0.018838 Loss_G: 0.004359 Loss_D_real: -0.003949 Loss_D_fake 0.014889
[1723/5000][90/535][177856] Loss_D: -0.017887 Loss_G: -0.003362 Loss_D_real: -0.003636 Loss_D_fake 0.014250
[1723/5000][95/535][177857] Loss_D: -0.018912 Loss_G: 0.022512 Loss_D_real: -0.022285 Loss_D_fake -0.003372
[1723/5000][100/535][177858] Loss_D: -0.018035 Loss_G: 0.014346 Loss_D_real: -0.022293 Loss_D_fake -0.004257
[1723/5000][105/535][177859] Loss_D: -0.018273 Loss_G: -0.017481 Loss_D_real: -0.004318 Loss_D_fake 0.013955
[1723/5000][110/535][177860] Loss_D: -0.018979 Loss_G: 0.010794 Loss_D_real: -0.005734 Loss_D_fake 0.013245
[1723/5000][115/535][177861] Loss_D: -0.017704 Loss_G: 0.001347 Loss_D_real: -0.014678 Loss_D_fake 0.003026
[1723/5000][120/535][177862] Loss_D: -0.019011 Loss_G: -0.014071 Loss_D_real: -0.012940 Loss_D_fake 0.006070
[1723/5000][125/535][177863] Loss_D: -0.019559 Loss_G: 0.001416 Loss_D_real: -0.017004 Loss_D_fake 0.002556
[1723/5000][130/535][177864] Loss_D: -0.019098 Loss_G: -0.007089 Loss_D_real: -0.008994 Loss_D_fake 0.010105
[1723/5000][135/535][177865] Loss_D: -0.019817 Loss_G: 0.015173 Loss_D_real: -0.003219 Loss_D_fake 0.016598
[1723/5000][140/535][177866] Loss_D: -0.019028 Loss_G: 0.026491 Loss_D_real: -0.019835 Loss_D_fake -0.000807
[1723/5000][145/535][177867] Loss_D: -0.018971 Loss_G: -0.004012 Loss_D_real: -0.010792 Loss_D_fake 0.008179
[1723/5000][150/535][177868] Loss_D: -0.018573 Loss_G: 0.006628 Loss_D_real: -0.017737 Loss_D_fake 0.000836
[1723/5000][155/535][177869] Loss_D: -0.019534 Loss_G: -0.000073 Loss_D_real: -0.009838 Loss_D_fake 0.009696
[1723/5000][160/535][177870] Loss_D: -0.019411 Loss_G: 0.009747 Loss_D_real: -0.014326 Loss_D_fake 0.005085
[1723/5000][165/535][177871] Loss_D: -0.018301 Loss_G: 0.003850 Loss_D_real: -0.006992 Loss_D_fake 0.011309
[1723/5000][170/535][177872] Loss_D: -0.017487 Loss_G: 0.024133 Loss_D_real: -0.027960 Loss_D_fake -0.010473
[1723/5000][175/535][177873] Loss_D: -0.018160 Loss_G: 0.013609 Loss_D_real: -0.027223 Loss_D_fake -0.009062
[1723/5000][180/535][177874] Loss_D: -0.017864 Loss_G: 0.005177 Loss_D_real: -0.020694 Loss_D_fake -0.002829
[1723/5000][185/535][177875] Loss_D: -0.019416 Loss_G: -0.006889 Loss_D_real: -0.013257 Loss_D_fake 0.006158
[1723/5000][190/535][177876] Loss_D: -0.018648 Loss_G: 0.001815 Loss_D_real: -0.014869 Loss_D_fake 0.003779
[1723/5000][195/535][177877] Loss_D: -0.018725 Loss_G: 0.002796 Loss_D_real: 0.000440 Loss_D_fake 0.019165
[1723/5000][200/535][177878] Loss_D: -0.017377 Loss_G: 0.015638 Loss_D_real: -0.027992 Loss_D_fake -0.010615
[1723/5000][205/535][177879] Loss_D: -0.017705 Loss_G: 0.019163 Loss_D_real: -0.022364 Loss_D_fake -0.004660
[1723/5000][210/535][177880] Loss_D: -0.019237 Loss_G: -0.004361 Loss_D_real: -0.014541 Loss_D_fake 0.004696
[1723/5000][215/535][177881] Loss_D: -0.017374 Loss_G: 0.014677 Loss_D_real: -0.025060 Loss_D_fake -0.007687
[1723/5000][220/535][177882] Loss_D: -0.020433 Loss_G: 0.002285 Loss_D_real: -0.009198 Loss_D_fake 0.011235
[1723/5000][225/535][177883] Loss_D: -0.019310 Loss_G: 0.000060 Loss_D_real: -0.012126 Loss_D_fake 0.007183
[1723/5000][230/535][177884] Loss_D: -0.019357 Loss_G: 0.001547 Loss_D_real: -0.028619 Loss_D_fake -0.009262
[1723/5000][235/535][177885] Loss_D: -0.018014 Loss_G: -0.005413 Loss_D_real: -0.008037 Loss_D_fake 0.009977
[1723/5000][240/535][177886] Loss_D: -0.018127 Loss_G: 0.003627 Loss_D_real: -0.020618 Loss_D_fake -0.002491
[1723/5000][245/535][177887] Loss_D: -0.018788 Loss_G: -0.013106 Loss_D_real: -0.006986 Loss_D_fake 0.011803
[1723/5000][250/535][177888] Loss_D: -0.017112 Loss_G: 0.009622 Loss_D_real: -0.024477 Loss_D_fake -0.007365
[1723/5000][255/535][177889] Loss_D: -0.018748 Loss_G: 0.005759 Loss_D_real: -0.015916 Loss_D_fake 0.002833
[1723/5000][260/535][177890] Loss_D: -0.018339 Loss_G: 0.025308 Loss_D_real: -0.023774 Loss_D_fake -0.005434
[1723/5000][265/535][177891] Loss_D: -0.018076 Loss_G: -0.000708 Loss_D_real: -0.008091 Loss_D_fake 0.009985
[1723/5000][270/535][177892] Loss_D: -0.018109 Loss_G: 0.007795 Loss_D_real: -0.025386 Loss_D_fake -0.007277
[1723/5000][275/535][177893] Loss_D: -0.018558 Loss_G: 0.016716 Loss_D_real: -0.017830 Loss_D_fake 0.000727
[1723/5000][280/535][177894] Loss_D: -0.017864 Loss_G: 0.012921 Loss_D_real: -0.023873 Loss_D_fake -0.006009
[1723/5000][285/535][177895] Loss_D: -0.019276 Loss_G: -0.001616 Loss_D_real: -0.004774 Loss_D_fake 0.014502
[1723/5000][290/535][177896] Loss_D: -0.018432 Loss_G: 0.018445 Loss_D_real: -0.031285 Loss_D_fake -0.012853
[1723/5000][295/535][177897] Loss_D: -0.018907 Loss_G: 0.000826 Loss_D_real: -0.011071 Loss_D_fake 0.007836
[1723/5000][300/535][177898] Loss_D: -0.019414 Loss_G: -0.012654 Loss_D_real: -0.012748 Loss_D_fake 0.006665
[1723/5000][305/535][177899] Loss_D: -0.018739 Loss_G: 0.005024 Loss_D_real: -0.021102 Loss_D_fake -0.002363
[1723/5000][310/535][177900] Loss_D: -0.019728 Loss_G: 0.000752 Loss_D_real: -0.002348 Loss_D_fake 0.017380
[1723/5000][315/535][177901] Loss_D: -0.019510 Loss_G: 0.013609 Loss_D_real: -0.008600 Loss_D_fake 0.010909
[1723/5000][320/535][177902] Loss_D: -0.017079 Loss_G: -0.016646 Loss_D_real: -0.001496 Loss_D_fake 0.015583
[1723/5000][325/535][177903] Loss_D: -0.016896 Loss_G: -0.006478 Loss_D_real: -0.003346 Loss_D_fake 0.013550
[1723/5000][330/535][177904] Loss_D: -0.018217 Loss_G: -0.015400 Loss_D_real: -0.000801 Loss_D_fake 0.017416
[1723/5000][335/535][177905] Loss_D: -0.018180 Loss_G: 0.006515 Loss_D_real: 0.004570 Loss_D_fake 0.022750
[1723/5000][340/535][177906] Loss_D: -0.017426 Loss_G: 0.017375 Loss_D_real: -0.024478 Loss_D_fake -0.007052
[1723/5000][345/535][177907] Loss_D: -0.018502 Loss_G: 0.010361 Loss_D_real: -0.026246 Loss_D_fake -0.007744
[1723/5000][350/535][177908] Loss_D: -0.017394 Loss_G: 0.006832 Loss_D_real: -0.009976 Loss_D_fake 0.007418
[1723/5000][355/535][177909] Loss_D: -0.018881 Loss_G: -0.005334 Loss_D_real: -0.002483 Loss_D_fake 0.016398
[1723/5000][360/535][177910] Loss_D: -0.016011 Loss_G: -0.002985 Loss_D_real: 0.007290 Loss_D_fake 0.023301
[1723/5000][365/535][177911] Loss_D: -0.017684 Loss_G: 0.019654 Loss_D_real: -0.033920 Loss_D_fake -0.016236
[1723/5000][370/535][177912] Loss_D: -0.018706 Loss_G: 0.009340 Loss_D_real: -0.028483 Loss_D_fake -0.009777
[1723/5000][375/535][177913] Loss_D: -0.018534 Loss_G: -0.010161 Loss_D_real: -0.011971 Loss_D_fake 0.006563
[1723/5000][380/535][177914] Loss_D: -0.017390 Loss_G: 0.013644 Loss_D_real: -0.022744 Loss_D_fake -0.005355
[1723/5000][385/535][177915] Loss_D: -0.019205 Loss_G: 0.001627 Loss_D_real: -0.003437 Loss_D_fake 0.015768
[1723/5000][390/535][177916] Loss_D: -0.018095 Loss_G: 0.007965 Loss_D_real: -0.017519 Loss_D_fake 0.000576
[1723/5000][395/535][177917] Loss_D: -0.019515 Loss_G: 0.006797 Loss_D_real: -0.020460 Loss_D_fake -0.000945
[1723/5000][400/535][177918] Loss_D: -0.017799 Loss_G: 0.028244 Loss_D_real: -0.021998 Loss_D_fake -0.004199
[1723/5000][405/535][177919] Loss_D: -0.019926 Loss_G: -0.007574 Loss_D_real: -0.023856 Loss_D_fake -0.003930
[1723/5000][410/535][177920] Loss_D: -0.019502 Loss_G: 0.018940 Loss_D_real: -0.014333 Loss_D_fake 0.005169
[1723/5000][415/535][177921] Loss_D: -0.019822 Loss_G: 0.008596 Loss_D_real: -0.023255 Loss_D_fake -0.003434
[1723/5000][420/535][177922] Loss_D: -0.017231 Loss_G: -0.012432 Loss_D_real: -0.007492 Loss_D_fake 0.009739
[1723/5000][425/535][177923] Loss_D: -0.017292 Loss_G: -0.001115 Loss_D_real: -0.011168 Loss_D_fake 0.006124
[1723/5000][430/535][177924] Loss_D: -0.019201 Loss_G: 0.012039 Loss_D_real: -0.017445 Loss_D_fake 0.001756
[1723/5000][435/535][177925] Loss_D: -0.019274 Loss_G: 0.005299 Loss_D_real: -0.012378 Loss_D_fake 0.006896
[1723/5000][440/535][177926] Loss_D: -0.018550 Loss_G: 0.014423 Loss_D_real: -0.013428 Loss_D_fake 0.005122
[1723/5000][445/535][177927] Loss_D: -0.018686 Loss_G: 0.016857 Loss_D_real: -0.018413 Loss_D_fake 0.000272
[1723/5000][450/535][177928] Loss_D: -0.020253 Loss_G: -0.011611 Loss_D_real: -0.011509 Loss_D_fake 0.008744
[1723/5000][455/535][177929] Loss_D: -0.020412 Loss_G: 0.019130 Loss_D_real: -0.010542 Loss_D_fake 0.009870
[1723/5000][460/535][177930] Loss_D: -0.018112 Loss_G: -0.013967 Loss_D_real: -0.001301 Loss_D_fake 0.016811
[1723/5000][465/535][177931] Loss_D: -0.017635 Loss_G: 0.012682 Loss_D_real: -0.023345 Loss_D_fake -0.005710
[1723/5000][470/535][177932] Loss_D: -0.018203 Loss_G: -0.018271 Loss_D_real: -0.003099 Loss_D_fake 0.015104
[1723/5000][475/535][177933] Loss_D: -0.017676 Loss_G: 0.011413 Loss_D_real: -0.008932 Loss_D_fake 0.008744
[1723/5000][480/535][177934] Loss_D: -0.018952 Loss_G: 0.019337 Loss_D_real: -0.018923 Loss_D_fake 0.000029
[1723/5000][485/535][177935] Loss_D: -0.018621 Loss_G: 0.000678 Loss_D_real: -0.014361 Loss_D_fake 0.004261
[1723/5000][490/535][177936] Loss_D: -0.019078 Loss_G: -0.004013 Loss_D_real: -0.006917 Loss_D_fake 0.012161
[1723/5000][495/535][177937] Loss_D: -0.018492 Loss_G: 0.014119 Loss_D_real: -0.022675 Loss_D_fake -0.004183
[1723/5000][500/535][177938] Loss_D: -0.019714 Loss_G: 0.007759 Loss_D_real: -0.026819 Loss_D_fake -0.007105
[1723/5000][505/535][177939] Loss_D: -0.018273 Loss_G: 0.033079 Loss_D_real: -0.028127 Loss_D_fake -0.009854
[1723/5000][510/535][177940] Loss_D: -0.019600 Loss_G: 0.007402 Loss_D_real: -0.023753 Loss_D_fake -0.004153
[1723/5000][515/535][177941] Loss_D: -0.019676 Loss_G: 0.018337 Loss_D_real: -0.032082 Loss_D_fake -0.012406
[1723/5000][520/535][177942] Loss_D: -0.018297 Loss_G: -0.014240 Loss_D_real: -0.006091 Loss_D_fake 0.012206
[1723/5000][525/535][177943] Loss_D: -0.019346 Loss_G: 0.016418 Loss_D_real: -0.019354 Loss_D_fake -0.000008
[1723/5000][530/535][177944] Loss_D: -0.017283 Loss_G: -0.009669 Loss_D_real: -0.003817 Loss_D_fake 0.013466
[1723/5000][535/535][177945] Loss_D: -0.018567 Loss_G: 0.025936 Loss_D_real: -0.020043 Loss_D_fake -0.001476
[1724/5000][5/535][177946] Loss_D: -0.017978 Loss_G: 0.009469 Loss_D_real: -0.013455 Loss_D_fake 0.004522
[1724/5000][10/535][177947] Loss_D: -0.019491 Loss_G: 0.014365 Loss_D_real: -0.007417 Loss_D_fake 0.012073
[1724/5000][15/535][177948] Loss_D: -0.019150 Loss_G: 0.016832 Loss_D_real: -0.014177 Loss_D_fake 0.004973
[1724/5000][20/535][177949] Loss_D: -0.018032 Loss_G: 0.011715 Loss_D_real: -0.021278 Loss_D_fake -0.003246
[1724/5000][25/535][177950] Loss_D: -0.019472 Loss_G: -0.011363 Loss_D_real: 0.001680 Loss_D_fake 0.021152
[1724/5000][30/535][177951] Loss_D: -0.017634 Loss_G: -0.000084 Loss_D_real: -0.013573 Loss_D_fake 0.004061
[1724/5000][35/535][177952] Loss_D: -0.018423 Loss_G: 0.020329 Loss_D_real: -0.020325 Loss_D_fake -0.001902
[1724/5000][40/535][177953] Loss_D: -0.019568 Loss_G: -0.008812 Loss_D_real: -0.011471 Loss_D_fake 0.008097
[1724/5000][45/535][177954] Loss_D: -0.018622 Loss_G: -0.005752 Loss_D_real: -0.016039 Loss_D_fake 0.002583
[1724/5000][50/535][177955] Loss_D: -0.017150 Loss_G: -0.001533 Loss_D_real: -0.014804 Loss_D_fake 0.002346
[1724/5000][55/535][177956] Loss_D: -0.017907 Loss_G: -0.001784 Loss_D_real: -0.016074 Loss_D_fake 0.001833
[1724/5000][60/535][177957] Loss_D: -0.018439 Loss_G: 0.002118 Loss_D_real: -0.026735 Loss_D_fake -0.008296
[1724/5000][65/535][177958] Loss_D: -0.018673 Loss_G: -0.000610 Loss_D_real: -0.004858 Loss_D_fake 0.013815
[1724/5000][70/535][177959] Loss_D: -0.017777 Loss_G: 0.007949 Loss_D_real: 0.001865 Loss_D_fake 0.019642
[1724/5000][75/535][177960] Loss_D: -0.018033 Loss_G: 0.007276 Loss_D_real: -0.023794 Loss_D_fake -0.005761
[1724/5000][80/535][177961] Loss_D: -0.018068 Loss_G: -0.010930 Loss_D_real: 0.007454 Loss_D_fake 0.025522
[1724/5000][85/535][177962] Loss_D: -0.017975 Loss_G: -0.004522 Loss_D_real: -0.004149 Loss_D_fake 0.013826
[1724/5000][90/535][177963] Loss_D: -0.018182 Loss_G: -0.001002 Loss_D_real: 0.002589 Loss_D_fake 0.020771
[1724/5000][95/535][177964] Loss_D: -0.018834 Loss_G: 0.019396 Loss_D_real: -0.017365 Loss_D_fake 0.001469
[1724/5000][100/535][177965] Loss_D: -0.017649 Loss_G: -0.003263 Loss_D_real: -0.021492 Loss_D_fake -0.003843
[1724/5000][105/535][177966] Loss_D: -0.017638 Loss_G: 0.003436 Loss_D_real: -0.011782 Loss_D_fake 0.005856
[1724/5000][110/535][177967] Loss_D: -0.018146 Loss_G: 0.007633 Loss_D_real: -0.008006 Loss_D_fake 0.010140
[1724/5000][115/535][177968] Loss_D: -0.017440 Loss_G: 0.020318 Loss_D_real: -0.036576 Loss_D_fake -0.019136
[1724/5000][120/535][177969] Loss_D: -0.018879 Loss_G: 0.012024 Loss_D_real: -0.003663 Loss_D_fake 0.015217
[1724/5000][125/535][177970] Loss_D: -0.018221 Loss_G: 0.008433 Loss_D_real: -0.019629 Loss_D_fake -0.001407
[1724/5000][130/535][177971] Loss_D: -0.019504 Loss_G: 0.001416 Loss_D_real: -0.008593 Loss_D_fake 0.010912
[1724/5000][135/535][177972] Loss_D: -0.019593 Loss_G: -0.006409 Loss_D_real: -0.017656 Loss_D_fake 0.001937
[1724/5000][140/535][177973] Loss_D: -0.019565 Loss_G: 0.018871 Loss_D_real: -0.018212 Loss_D_fake 0.001353
[1724/5000][145/535][177974] Loss_D: -0.017600 Loss_G: -0.004666 Loss_D_real: -0.004653 Loss_D_fake 0.012946
[1724/5000][150/535][177975] Loss_D: -0.017039 Loss_G: -0.000531 Loss_D_real: -0.016971 Loss_D_fake 0.000068
[1724/5000][155/535][177976] Loss_D: -0.019539 Loss_G: 0.005767 Loss_D_real: -0.024545 Loss_D_fake -0.005007
[1724/5000][160/535][177977] Loss_D: -0.019983 Loss_G: 0.000235 Loss_D_real: -0.005944 Loss_D_fake 0.014039
[1724/5000][165/535][177978] Loss_D: -0.019989 Loss_G: -0.007647 Loss_D_real: -0.013503 Loss_D_fake 0.006486
[1724/5000][170/535][177979] Loss_D: -0.018860 Loss_G: 0.011430 Loss_D_real: -0.017977 Loss_D_fake 0.000884
[1724/5000][175/535][177980] Loss_D: -0.019178 Loss_G: 0.004389 Loss_D_real: -0.009979 Loss_D_fake 0.009199
[1724/5000][180/535][177981] Loss_D: -0.017027 Loss_G: 0.029119 Loss_D_real: -0.039382 Loss_D_fake -0.022355
[1724/5000][185/535][177982] Loss_D: -0.018915 Loss_G: 0.010666 Loss_D_real: -0.019839 Loss_D_fake -0.000924
[1724/5000][190/535][177983] Loss_D: -0.018196 Loss_G: 0.000458 Loss_D_real: -0.005358 Loss_D_fake 0.012838
[1724/5000][195/535][177984] Loss_D: -0.018389 Loss_G: -0.010512 Loss_D_real: -0.008321 Loss_D_fake 0.010067
[1724/5000][200/535][177985] Loss_D: -0.018365 Loss_G: 0.009468 Loss_D_real: -0.021178 Loss_D_fake -0.002813
[1724/5000][205/535][177986] Loss_D: -0.017919 Loss_G: 0.001682 Loss_D_real: -0.011102 Loss_D_fake 0.006817
[1724/5000][210/535][177987] Loss_D: -0.018169 Loss_G: 0.019843 Loss_D_real: -0.016093 Loss_D_fake 0.002076
[1724/5000][215/535][177988] Loss_D: -0.017308 Loss_G: 0.019973 Loss_D_real: -0.034757 Loss_D_fake -0.017450
[1724/5000][220/535][177989] Loss_D: -0.019320 Loss_G: 0.004198 Loss_D_real: -0.009120 Loss_D_fake 0.010200
[1724/5000][225/535][177990] Loss_D: -0.018278 Loss_G: 0.018221 Loss_D_real: -0.027279 Loss_D_fake -0.009001
[1724/5000][230/535][177991] Loss_D: -0.017960 Loss_G: 0.003650 Loss_D_real: -0.019784 Loss_D_fake -0.001824
[1724/5000][235/535][177992] Loss_D: -0.017399 Loss_G: 0.019289 Loss_D_real: -0.033905 Loss_D_fake -0.016507
[1724/5000][240/535][177993] Loss_D: -0.019335 Loss_G: 0.000883 Loss_D_real: -0.014970 Loss_D_fake 0.004365
[1724/5000][245/535][177994] Loss_D: -0.017555 Loss_G: 0.007215 Loss_D_real: -0.013709 Loss_D_fake 0.003847
[1724/5000][250/535][177995] Loss_D: -0.017348 Loss_G: -0.013823 Loss_D_real: 0.006529 Loss_D_fake 0.023877
[1724/5000][255/535][177996] Loss_D: -0.017687 Loss_G: 0.013691 Loss_D_real: -0.013244 Loss_D_fake 0.004443
[1724/5000][260/535][177997] Loss_D: -0.018325 Loss_G: 0.019460 Loss_D_real: -0.011966 Loss_D_fake 0.006358
[1724/5000][265/535][177998] Loss_D: -0.017258 Loss_G: -0.009022 Loss_D_real: -0.007265 Loss_D_fake 0.009993
[1724/5000][270/535][177999] Loss_D: -0.019289 Loss_G: -0.003590 Loss_D_real: -0.002051 Loss_D_fake 0.017238
[1724/5000][275/535][178000] Loss_D: -0.018102 Loss_G: 0.008281 Loss_D_real: -0.021328 Loss_D_fake -0.003227
[1724/5000][375/535][178001] Loss_D: -0.020938 Loss_G: 0.016442 Loss_D_real: -0.028866 Loss_D_fake -0.007928
[1724/5000][380/535][178002] Loss_D: -0.020906 Loss_G: 0.005225 Loss_D_real: -0.009739 Loss_D_fake 0.011167
[1724/5000][385/535][178003] Loss_D: -0.017771 Loss_G: 0.015202 Loss_D_real: -0.009731 Loss_D_fake 0.008040
[1724/5000][390/535][178004] Loss_D: -0.015976 Loss_G: 0.013538 Loss_D_real: -0.016331 Loss_D_fake -0.000356
[1724/5000][395/535][178005] Loss_D: -0.018388 Loss_G: 0.006267 Loss_D_real: -0.007074 Loss_D_fake 0.011314
[1724/5000][400/535][178006] Loss_D: -0.017699 Loss_G: -0.004229 Loss_D_real: -0.005525 Loss_D_fake 0.012173
[1724/5000][405/535][178007] Loss_D: -0.016660 Loss_G: 0.010717 Loss_D_real: -0.019801 Loss_D_fake -0.003141
[1724/5000][410/535][178008] Loss_D: -0.017384 Loss_G: 0.023775 Loss_D_real: -0.032316 Loss_D_fake -0.014932
[1724/5000][415/535][178009] Loss_D: -0.018735 Loss_G: 0.009128 Loss_D_real: -0.029571 Loss_D_fake -0.010836
[1724/5000][420/535][178010] Loss_D: -0.019239 Loss_G: 0.000215 Loss_D_real: -0.017159 Loss_D_fake 0.002080
[1724/5000][425/535][178011] Loss_D: -0.017943 Loss_G: 0.005061 Loss_D_real: -0.029735 Loss_D_fake -0.011792
[1724/5000][430/535][178012] Loss_D: -0.018600 Loss_G: -0.001205 Loss_D_real: -0.008818 Loss_D_fake 0.009781
[1724/5000][435/535][178013] Loss_D: -0.017500 Loss_G: 0.020920 Loss_D_real: -0.017918 Loss_D_fake -0.000417
[1724/5000][440/535][178014] Loss_D: -0.018607 Loss_G: -0.007760 Loss_D_real: -0.007916 Loss_D_fake 0.010690
[1724/5000][445/535][178015] Loss_D: -0.018351 Loss_G: 0.007654 Loss_D_real: -0.000122 Loss_D_fake 0.018229
[1724/5000][450/535][178016] Loss_D: -0.017480 Loss_G: -0.005288 Loss_D_real: -0.009191 Loss_D_fake 0.008289
[1724/5000][455/535][178017] Loss_D: -0.018746 Loss_G: 0.009660 Loss_D_real: -0.009002 Loss_D_fake 0.009744
[1724/5000][460/535][178018] Loss_D: -0.019252 Loss_G: 0.011019 Loss_D_real: -0.013353 Loss_D_fake 0.005899
[1724/5000][465/535][178019] Loss_D: -0.019135 Loss_G: 0.002240 Loss_D_real: -0.009987 Loss_D_fake 0.009149
[1724/5000][470/535][178020] Loss_D: -0.018194 Loss_G: 0.011587 Loss_D_real: -0.019156 Loss_D_fake -0.000963
[1724/5000][475/535][178021] Loss_D: -0.018986 Loss_G: -0.007764 Loss_D_real: -0.012093 Loss_D_fake 0.006894
[1724/5000][480/535][178022] Loss_D: -0.020161 Loss_G: -0.001696 Loss_D_real: -0.009288 Loss_D_fake 0.010873
[1724/5000][485/535][178023] Loss_D: -0.018723 Loss_G: -0.002149 Loss_D_real: -0.018388 Loss_D_fake 0.000335
[1724/5000][490/535][178024] Loss_D: -0.018496 Loss_G: 0.000024 Loss_D_real: -0.004532 Loss_D_fake 0.013964
[1724/5000][495/535][178025] Loss_D: -0.019259 Loss_G: -0.021078 Loss_D_real: -0.008856 Loss_D_fake 0.010403
[1724/5000][500/535][178026] Loss_D: -0.018028 Loss_G: 0.014359 Loss_D_real: -0.006172 Loss_D_fake 0.011856
[1724/5000][505/535][178027] Loss_D: -0.018048 Loss_G: -0.015130 Loss_D_real: 0.009100 Loss_D_fake 0.027147
[1724/5000][510/535][178028] Loss_D: -0.018398 Loss_G: 0.011638 Loss_D_real: -0.009004 Loss_D_fake 0.009394
[1724/5000][515/535][178029] Loss_D: -0.019318 Loss_G: 0.005417 Loss_D_real: -0.018168 Loss_D_fake 0.001150
[1724/5000][520/535][178030] Loss_D: -0.018945 Loss_G: 0.015603 Loss_D_real: -0.003409 Loss_D_fake 0.015536
[1724/5000][525/535][178031] Loss_D: -0.019182 Loss_G: 0.008397 Loss_D_real: -0.006754 Loss_D_fake 0.012428
[1724/5000][530/535][178032] Loss_D: -0.017243 Loss_G: 0.016637 Loss_D_real: -0.011957 Loss_D_fake 0.005286
[1724/5000][535/535][178033] Loss_D: -0.019299 Loss_G: -0.012019 Loss_D_real: -0.024597 Loss_D_fake -0.005298
[1725/5000][5/535][178034] Loss_D: -0.018579 Loss_G: 0.006665 Loss_D_real: -0.025360 Loss_D_fake -0.006781
[1725/5000][10/535][178035] Loss_D: -0.020467 Loss_G: -0.019829 Loss_D_real: -0.019827 Loss_D_fake 0.000641
[1725/5000][15/535][178036] Loss_D: -0.016079 Loss_G: 0.017701 Loss_D_real: -0.023354 Loss_D_fake -0.007275
[1725/5000][20/535][178037] Loss_D: -0.017380 Loss_G: 0.014738 Loss_D_real: -0.015776 Loss_D_fake 0.001605
[1725/5000][25/535][178038] Loss_D: -0.017894 Loss_G: -0.007874 Loss_D_real: -0.004936 Loss_D_fake 0.012958
[1725/5000][30/535][178039] Loss_D: -0.018457 Loss_G: 0.005836 Loss_D_real: -0.010905 Loss_D_fake 0.007553
[1725/5000][35/535][178040] Loss_D: -0.019691 Loss_G: 0.010739 Loss_D_real: -0.007236 Loss_D_fake 0.012455
[1725/5000][40/535][178041] Loss_D: -0.018790 Loss_G: -0.014950 Loss_D_real: -0.011350 Loss_D_fake 0.007440
[1725/5000][45/535][178042] Loss_D: -0.018452 Loss_G: 0.010023 Loss_D_real: -0.022219 Loss_D_fake -0.003768
[1725/5000][50/535][178043] Loss_D: -0.017659 Loss_G: 0.023746 Loss_D_real: -0.023606 Loss_D_fake -0.005947
[1725/5000][55/535][178044] Loss_D: -0.020432 Loss_G: 0.011270 Loss_D_real: -0.018891 Loss_D_fake 0.001541
[1725/5000][60/535][178045] Loss_D: -0.020039 Loss_G: 0.012321 Loss_D_real: -0.021500 Loss_D_fake -0.001461
[1725/5000][65/535][178046] Loss_D: -0.019446 Loss_G: 0.000702 Loss_D_real: -0.013209 Loss_D_fake 0.006238
[1725/5000][70/535][178047] Loss_D: -0.018533 Loss_G: -0.006723 Loss_D_real: -0.016596 Loss_D_fake 0.001937
[1725/5000][75/535][178048] Loss_D: -0.017276 Loss_G: -0.010988 Loss_D_real: 0.005245 Loss_D_fake 0.022521
[1725/5000][80/535][178049] Loss_D: -0.018737 Loss_G: 0.003293 Loss_D_real: -0.020229 Loss_D_fake -0.001492
[1725/5000][85/535][178050] Loss_D: -0.019525 Loss_G: -0.004676 Loss_D_real: -0.007149 Loss_D_fake 0.012377
[1725/5000][90/535][178051] Loss_D: -0.018376 Loss_G: 0.023655 Loss_D_real: -0.024273 Loss_D_fake -0.005897
[1725/5000][95/535][178052] Loss_D: -0.018171 Loss_G: -0.002549 Loss_D_real: -0.000384 Loss_D_fake 0.017787
[1725/5000][100/535][178053] Loss_D: -0.017758 Loss_G: 0.014251 Loss_D_real: -0.017278 Loss_D_fake 0.000480
[1725/5000][105/535][178054] Loss_D: -0.018520 Loss_G: -0.013247 Loss_D_real: -0.015272 Loss_D_fake 0.003248
[1725/5000][110/535][178055] Loss_D: -0.017884 Loss_G: 0.007180 Loss_D_real: -0.007807 Loss_D_fake 0.010077
[1725/5000][115/535][178056] Loss_D: -0.018664 Loss_G: 0.007007 Loss_D_real: -0.010886 Loss_D_fake 0.007778
[1725/5000][120/535][178057] Loss_D: -0.017661 Loss_G: 0.015211 Loss_D_real: -0.019911 Loss_D_fake -0.002250
[1725/5000][125/535][178058] Loss_D: -0.018712 Loss_G: 0.021767 Loss_D_real: -0.022712 Loss_D_fake -0.004000
[1725/5000][130/535][178059] Loss_D: -0.017330 Loss_G: 0.023311 Loss_D_real: -0.033055 Loss_D_fake -0.015726
[1725/5000][135/535][178060] Loss_D: -0.018365 Loss_G: -0.004947 Loss_D_real: -0.014529 Loss_D_fake 0.003836
[1725/5000][140/535][178061] Loss_D: -0.018456 Loss_G: 0.009283 Loss_D_real: -0.010570 Loss_D_fake 0.007886
[1725/5000][145/535][178062] Loss_D: -0.018379 Loss_G: 0.013505 Loss_D_real: -0.013231 Loss_D_fake 0.005147
[1725/5000][150/535][178063] Loss_D: -0.018570 Loss_G: 0.003352 Loss_D_real: -0.010015 Loss_D_fake 0.008555
[1725/5000][155/535][178064] Loss_D: -0.018564 Loss_G: 0.003828 Loss_D_real: -0.016958 Loss_D_fake 0.001606
[1725/5000][160/535][178065] Loss_D: -0.017183 Loss_G: 0.014445 Loss_D_real: -0.021572 Loss_D_fake -0.004389
[1725/5000][165/535][178066] Loss_D: -0.018297 Loss_G: 0.019037 Loss_D_real: -0.025760 Loss_D_fake -0.007463
[1725/5000][170/535][178067] Loss_D: -0.018392 Loss_G: 0.011078 Loss_D_real: -0.028060 Loss_D_fake -0.009669
[1725/5000][175/535][178068] Loss_D: -0.018272 Loss_G: -0.002873 Loss_D_real: -0.000680 Loss_D_fake 0.017592
[1725/5000][180/535][178069] Loss_D: -0.016610 Loss_G: -0.000986 Loss_D_real: -0.014234 Loss_D_fake 0.002376
[1725/5000][185/535][178070] Loss_D: -0.018149 Loss_G: -0.012284 Loss_D_real: 0.001831 Loss_D_fake 0.019980
[1725/5000][190/535][178071] Loss_D: -0.017870 Loss_G: 0.014954 Loss_D_real: -0.020027 Loss_D_fake -0.002157
[1725/5000][195/535][178072] Loss_D: -0.018347 Loss_G: -0.009894 Loss_D_real: 0.005077 Loss_D_fake 0.023424
[1725/5000][200/535][178073] Loss_D: -0.017831 Loss_G: -0.004535 Loss_D_real: -0.014171 Loss_D_fake 0.003660
[1725/5000][205/535][178074] Loss_D: -0.018404 Loss_G: -0.011734 Loss_D_real: 0.002513 Loss_D_fake 0.020918
[1725/5000][210/535][178075] Loss_D: -0.018163 Loss_G: 0.004131 Loss_D_real: -0.023855 Loss_D_fake -0.005692
[1725/5000][215/535][178076] Loss_D: -0.018770 Loss_G: -0.001528 Loss_D_real: -0.012930 Loss_D_fake 0.005839
[1725/5000][220/535][178077] Loss_D: -0.017089 Loss_G: -0.005897 Loss_D_real: -0.015163 Loss_D_fake 0.001926
[1725/5000][225/535][178078] Loss_D: -0.020141 Loss_G: 0.017451 Loss_D_real: -0.015404 Loss_D_fake 0.004737
[1725/5000][230/535][178079] Loss_D: -0.018006 Loss_G: -0.002443 Loss_D_real: -0.019079 Loss_D_fake -0.001072
[1725/5000][235/535][178080] Loss_D: -0.019646 Loss_G: 0.018566 Loss_D_real: -0.019038 Loss_D_fake 0.000607
[1725/5000][240/535][178081] Loss_D: -0.018829 Loss_G: 0.020093 Loss_D_real: -0.023297 Loss_D_fake -0.004468
[1725/5000][245/535][178082] Loss_D: -0.019612 Loss_G: -0.009227 Loss_D_real: -0.007644 Loss_D_fake 0.011968
[1725/5000][250/535][178083] Loss_D: -0.019943 Loss_G: 0.011580 Loss_D_real: -0.011146 Loss_D_fake 0.008797
[1725/5000][255/535][178084] Loss_D: -0.017425 Loss_G: -0.011839 Loss_D_real: 0.007866 Loss_D_fake 0.025290
[1725/5000][260/535][178085] Loss_D: -0.018471 Loss_G: 0.021337 Loss_D_real: -0.022022 Loss_D_fake -0.003551
[1725/5000][265/535][178086] Loss_D: -0.019500 Loss_G: 0.018302 Loss_D_real: -0.014457 Loss_D_fake 0.005043
[1725/5000][270/535][178087] Loss_D: -0.018597 Loss_G: 0.012001 Loss_D_real: -0.022056 Loss_D_fake -0.003459
[1725/5000][275/535][178088] Loss_D: -0.018127 Loss_G: 0.011125 Loss_D_real: -0.021420 Loss_D_fake -0.003293
[1725/5000][280/535][178089] Loss_D: -0.019262 Loss_G: -0.001944 Loss_D_real: -0.013703 Loss_D_fake 0.005559
[1725/5000][285/535][178090] Loss_D: -0.019979 Loss_G: 0.000924 Loss_D_real: -0.019701 Loss_D_fake 0.000278
[1725/5000][290/535][178091] Loss_D: -0.018733 Loss_G: 0.010662 Loss_D_real: -0.012975 Loss_D_fake 0.005758
[1725/5000][295/535][178092] Loss_D: -0.018829 Loss_G: -0.000558 Loss_D_real: -0.014562 Loss_D_fake 0.004267
[1725/5000][300/535][178093] Loss_D: -0.015519 Loss_G: -0.018913 Loss_D_real: 0.010700 Loss_D_fake 0.026219
[1725/5000][305/535][178094] Loss_D: -0.017673 Loss_G: 0.007133 Loss_D_real: -0.023884 Loss_D_fake -0.006211
[1725/5000][310/535][178095] Loss_D: -0.016963 Loss_G: -0.017890 Loss_D_real: 0.003846 Loss_D_fake 0.020809
[1725/5000][315/535][178096] Loss_D: -0.016733 Loss_G: 0.006189 Loss_D_real: -0.023942 Loss_D_fake -0.007210
[1725/5000][320/535][178097] Loss_D: -0.018416 Loss_G: -0.002479 Loss_D_real: -0.009520 Loss_D_fake 0.008896
[1725/5000][325/535][178098] Loss_D: -0.016727 Loss_G: 0.002752 Loss_D_real: -0.011967 Loss_D_fake 0.004760
[1725/5000][330/535][178099] Loss_D: -0.018421 Loss_G: 0.001706 Loss_D_real: -0.000196 Loss_D_fake 0.018226
[1725/5000][335/535][178100] Loss_D: -0.019920 Loss_G: 0.025995 Loss_D_real: -0.021927 Loss_D_fake -0.002007
[1725/5000][340/535][178101] Loss_D: -0.018853 Loss_G: -0.004496 Loss_D_real: -0.011122 Loss_D_fake 0.007732
[1725/5000][345/535][178102] Loss_D: -0.019440 Loss_G: 0.017682 Loss_D_real: -0.030387 Loss_D_fake -0.010948
[1725/5000][350/535][178103] Loss_D: -0.019301 Loss_G: -0.002682 Loss_D_real: -0.013684 Loss_D_fake 0.005617
[1725/5000][355/535][178104] Loss_D: -0.016999 Loss_G: 0.000929 Loss_D_real: -0.014334 Loss_D_fake 0.002665
[1725/5000][360/535][178105] Loss_D: -0.018253 Loss_G: 0.021680 Loss_D_real: -0.015809 Loss_D_fake 0.002444
[1725/5000][365/535][178106] Loss_D: -0.019004 Loss_G: -0.004106 Loss_D_real: -0.017700 Loss_D_fake 0.001303
[1725/5000][370/535][178107] Loss_D: -0.018517 Loss_G: 0.001898 Loss_D_real: -0.016637 Loss_D_fake 0.001880
[1725/5000][375/535][178108] Loss_D: -0.019156 Loss_G: -0.010234 Loss_D_real: -0.011181 Loss_D_fake 0.007975
[1725/5000][380/535][178109] Loss_D: -0.019099 Loss_G: 0.015423 Loss_D_real: -0.013138 Loss_D_fake 0.005961
[1725/5000][385/535][178110] Loss_D: -0.019761 Loss_G: 0.002155 Loss_D_real: -0.013957 Loss_D_fake 0.005805
[1725/5000][390/535][178111] Loss_D: -0.018486 Loss_G: -0.003915 Loss_D_real: 0.002755 Loss_D_fake 0.021241
[1725/5000][395/535][178112] Loss_D: -0.018579 Loss_G: 0.010369 Loss_D_real: -0.011332 Loss_D_fake 0.007247
[1725/5000][400/535][178113] Loss_D: -0.018791 Loss_G: 0.014286 Loss_D_real: -0.014770 Loss_D_fake 0.004021
[1725/5000][405/535][178114] Loss_D: -0.017985 Loss_G: 0.011425 Loss_D_real: -0.020270 Loss_D_fake -0.002285
[1725/5000][410/535][178115] Loss_D: -0.019340 Loss_G: -0.006000 Loss_D_real: -0.023343 Loss_D_fake -0.004003
[1725/5000][415/535][178116] Loss_D: -0.017244 Loss_G: -0.002533 Loss_D_real: -0.014721 Loss_D_fake 0.002523
[1725/5000][420/535][178117] Loss_D: -0.018609 Loss_G: 0.023076 Loss_D_real: -0.032990 Loss_D_fake -0.014381
[1725/5000][425/535][178118] Loss_D: -0.019476 Loss_G: 0.014828 Loss_D_real: -0.011611 Loss_D_fake 0.007865
[1725/5000][430/535][178119] Loss_D: -0.017722 Loss_G: 0.017398 Loss_D_real: -0.011151 Loss_D_fake 0.006571
[1725/5000][435/535][178120] Loss_D: -0.018252 Loss_G: 0.019104 Loss_D_real: -0.012241 Loss_D_fake 0.006011
[1725/5000][440/535][178121] Loss_D: -0.018114 Loss_G: 0.000999 Loss_D_real: -0.013103 Loss_D_fake 0.005011
[1725/5000][445/535][178122] Loss_D: -0.018863 Loss_G: 0.003958 Loss_D_real: -0.019762 Loss_D_fake -0.000899
[1725/5000][450/535][178123] Loss_D: -0.019209 Loss_G: 0.008947 Loss_D_real: -0.010827 Loss_D_fake 0.008382
[1725/5000][455/535][178124] Loss_D: -0.017991 Loss_G: 0.019610 Loss_D_real: -0.025074 Loss_D_fake -0.007083
[1725/5000][460/535][178125] Loss_D: -0.017011 Loss_G: 0.014459 Loss_D_real: -0.013885 Loss_D_fake 0.003125
[1725/5000][465/535][178126] Loss_D: -0.019290 Loss_G: -0.005801 Loss_D_real: -0.018888 Loss_D_fake 0.000402
[1725/5000][470/535][178127] Loss_D: -0.017773 Loss_G: -0.006538 Loss_D_real: -0.013685 Loss_D_fake 0.004088
[1725/5000][475/535][178128] Loss_D: -0.017755 Loss_G: -0.013236 Loss_D_real: -0.005313 Loss_D_fake 0.012443
[1725/5000][480/535][178129] Loss_D: -0.017458 Loss_G: 0.027873 Loss_D_real: -0.030352 Loss_D_fake -0.012895
[1725/5000][485/535][178130] Loss_D: -0.018916 Loss_G: 0.015592 Loss_D_real: -0.026339 Loss_D_fake -0.007424
[1725/5000][490/535][178131] Loss_D: -0.019549 Loss_G: 0.005840 Loss_D_real: -0.024114 Loss_D_fake -0.004565
[1725/5000][495/535][178132] Loss_D: -0.018103 Loss_G: 0.025356 Loss_D_real: -0.023711 Loss_D_fake -0.005609
[1725/5000][500/535][178133] Loss_D: -0.018884 Loss_G: -0.004269 Loss_D_real: -0.015967 Loss_D_fake 0.002917
[1725/5000][505/535][178134] Loss_D: -0.019185 Loss_G: 0.012688 Loss_D_real: -0.022144 Loss_D_fake -0.002959
[1725/5000][510/535][178135] Loss_D: -0.018370 Loss_G: 0.018496 Loss_D_real: -0.021086 Loss_D_fake -0.002716
[1725/5000][515/535][178136] Loss_D: -0.019245 Loss_G: -0.000778 Loss_D_real: -0.012737 Loss_D_fake 0.006508
[1725/5000][520/535][178137] Loss_D: -0.019057 Loss_G: -0.010989 Loss_D_real: -0.012263 Loss_D_fake 0.006794
[1725/5000][525/535][178138] Loss_D: -0.017559 Loss_G: -0.003957 Loss_D_real: -0.010844 Loss_D_fake 0.006715
[1725/5000][530/535][178139] Loss_D: -0.018712 Loss_G: 0.001260 Loss_D_real: -0.027142 Loss_D_fake -0.008430
[1725/5000][535/535][178140] Loss_D: -0.016672 Loss_G: 0.029988 Loss_D_real: -0.016581 Loss_D_fake 0.000090
[1726/5000][5/535][178141] Loss_D: -0.018341 Loss_G: -0.009598 Loss_D_real: 0.005301 Loss_D_fake 0.023642
[1726/5000][10/535][178142] Loss_D: -0.015012 Loss_G: 0.025964 Loss_D_real: -0.030778 Loss_D_fake -0.015767
[1726/5000][15/535][178143] Loss_D: -0.018461 Loss_G: 0.002539 Loss_D_real: -0.007130 Loss_D_fake 0.011331
[1726/5000][20/535][178144] Loss_D: -0.018529 Loss_G: 0.006056 Loss_D_real: -0.007007 Loss_D_fake 0.011522
[1726/5000][25/535][178145] Loss_D: -0.018648 Loss_G: 0.008007 Loss_D_real: -0.008621 Loss_D_fake 0.010028
[1726/5000][30/535][178146] Loss_D: -0.018819 Loss_G: 0.003771 Loss_D_real: -0.022953 Loss_D_fake -0.004134
[1726/5000][35/535][178147] Loss_D: -0.019015 Loss_G: -0.005758 Loss_D_real: -0.001157 Loss_D_fake 0.017857
[1726/5000][40/535][178148] Loss_D: -0.017262 Loss_G: 0.011641 Loss_D_real: -0.021123 Loss_D_fake -0.003861
[1726/5000][45/535][178149] Loss_D: -0.018949 Loss_G: 0.019564 Loss_D_real: -0.020233 Loss_D_fake -0.001284
[1726/5000][50/535][178150] Loss_D: -0.018546 Loss_G: 0.023884 Loss_D_real: -0.015917 Loss_D_fake 0.002629
[1726/5000][55/535][178151] Loss_D: -0.018150 Loss_G: 0.024255 Loss_D_real: -0.024513 Loss_D_fake -0.006364
[1726/5000][60/535][178152] Loss_D: -0.020442 Loss_G: 0.013298 Loss_D_real: -0.024355 Loss_D_fake -0.003913
[1726/5000][65/535][178153] Loss_D: -0.019069 Loss_G: -0.005542 Loss_D_real: -0.001012 Loss_D_fake 0.018056
[1726/5000][70/535][178154] Loss_D: -0.019906 Loss_G: 0.004267 Loss_D_real: -0.017245 Loss_D_fake 0.002661
[1726/5000][75/535][178155] Loss_D: -0.018475 Loss_G: 0.010274 Loss_D_real: -0.024034 Loss_D_fake -0.005559
[1726/5000][80/535][178156] Loss_D: -0.018366 Loss_G: -0.005911 Loss_D_real: -0.003622 Loss_D_fake 0.014745
[1726/5000][85/535][178157] Loss_D: -0.017475 Loss_G: -0.009467 Loss_D_real: -0.002079 Loss_D_fake 0.015396
[1726/5000][90/535][178158] Loss_D: -0.017109 Loss_G: 0.012110 Loss_D_real: -0.015557 Loss_D_fake 0.001552
[1726/5000][95/535][178159] Loss_D: -0.019004 Loss_G: 0.010967 Loss_D_real: -0.013789 Loss_D_fake 0.005214
[1726/5000][100/535][178160] Loss_D: -0.018344 Loss_G: 0.010273 Loss_D_real: -0.017478 Loss_D_fake 0.000866
[1726/5000][105/535][178161] Loss_D: -0.018777 Loss_G: -0.002677 Loss_D_real: -0.014086 Loss_D_fake 0.004691
[1726/5000][110/535][178162] Loss_D: -0.019009 Loss_G: -0.001125 Loss_D_real: -0.009421 Loss_D_fake 0.009588
[1726/5000][115/535][178163] Loss_D: -0.019346 Loss_G: 0.020379 Loss_D_real: -0.006942 Loss_D_fake 0.012404
[1726/5000][120/535][178164] Loss_D: -0.017952 Loss_G: -0.000610 Loss_D_real: -0.017548 Loss_D_fake 0.000404
[1726/5000][125/535][178165] Loss_D: -0.019142 Loss_G: 0.005697 Loss_D_real: -0.022222 Loss_D_fake -0.003080
[1726/5000][130/535][178166] Loss_D: -0.018341 Loss_G: -0.014616 Loss_D_real: -0.009710 Loss_D_fake 0.008632
[1726/5000][135/535][178167] Loss_D: -0.017951 Loss_G: 0.016892 Loss_D_real: -0.016476 Loss_D_fake 0.001475
[1726/5000][140/535][178168] Loss_D: -0.019379 Loss_G: -0.004268 Loss_D_real: -0.007027 Loss_D_fake 0.012352
[1726/5000][145/535][178169] Loss_D: -0.017554 Loss_G: 0.021702 Loss_D_real: -0.023818 Loss_D_fake -0.006264
[1726/5000][150/535][178170] Loss_D: -0.019322 Loss_G: 0.005751 Loss_D_real: -0.021729 Loss_D_fake -0.002407
[1726/5000][155/535][178171] Loss_D: -0.018916 Loss_G: 0.007108 Loss_D_real: -0.010463 Loss_D_fake 0.008452
[1726/5000][160/535][178172] Loss_D: -0.019130 Loss_G: 0.000357 Loss_D_real: -0.007757 Loss_D_fake 0.011373
[1726/5000][165/535][178173] Loss_D: -0.019384 Loss_G: 0.015442 Loss_D_real: -0.003591 Loss_D_fake 0.015793
[1726/5000][170/535][178174] Loss_D: -0.019695 Loss_G: -0.012664 Loss_D_real: 0.000070 Loss_D_fake 0.019766
[1726/5000][175/535][178175] Loss_D: -0.017765 Loss_G: 0.024340 Loss_D_real: -0.031026 Loss_D_fake -0.013260
[1726/5000][180/535][178176] Loss_D: -0.018474 Loss_G: 0.006247 Loss_D_real: -0.015981 Loss_D_fake 0.002493
[1726/5000][185/535][178177] Loss_D: -0.019335 Loss_G: -0.008255 Loss_D_real: 0.006822 Loss_D_fake 0.026157
[1726/5000][190/535][178178] Loss_D: -0.018083 Loss_G: 0.004028 Loss_D_real: -0.012528 Loss_D_fake 0.005555
[1726/5000][195/535][178179] Loss_D: -0.017982 Loss_G: -0.004381 Loss_D_real: -0.007404 Loss_D_fake 0.010579
[1726/5000][200/535][178180] Loss_D: -0.018134 Loss_G: -0.007538 Loss_D_real: -0.020587 Loss_D_fake -0.002453
[1726/5000][205/535][178181] Loss_D: -0.019790 Loss_G: 0.010857 Loss_D_real: -0.013952 Loss_D_fake 0.005837
[1726/5000][210/535][178182] Loss_D: -0.018048 Loss_G: 0.005354 Loss_D_real: -0.015985 Loss_D_fake 0.002063
[1726/5000][215/535][178183] Loss_D: -0.019024 Loss_G: -0.008351 Loss_D_real: -0.008682 Loss_D_fake 0.010341
[1726/5000][220/535][178184] Loss_D: -0.017362 Loss_G: -0.004370 Loss_D_real: 0.004417 Loss_D_fake 0.021779
[1726/5000][225/535][178185] Loss_D: -0.017120 Loss_G: -0.006309 Loss_D_real: -0.018422 Loss_D_fake -0.001301
[1726/5000][230/535][178186] Loss_D: -0.017749 Loss_G: 0.025105 Loss_D_real: -0.028531 Loss_D_fake -0.010781
[1726/5000][235/535][178187] Loss_D: -0.017357 Loss_G: 0.016265 Loss_D_real: -0.026636 Loss_D_fake -0.009280
[1726/5000][240/535][178188] Loss_D: -0.017450 Loss_G: 0.033329 Loss_D_real: -0.025606 Loss_D_fake -0.008156
[1726/5000][245/535][178189] Loss_D: -0.018414 Loss_G: -0.002971 Loss_D_real: -0.008780 Loss_D_fake 0.009634
[1726/5000][250/535][178190] Loss_D: -0.017997 Loss_G: 0.013715 Loss_D_real: -0.017908 Loss_D_fake 0.000088
[1726/5000][255/535][178191] Loss_D: -0.017280 Loss_G: 0.007946 Loss_D_real: -0.007153 Loss_D_fake 0.010127
[1726/5000][260/535][178192] Loss_D: -0.018714 Loss_G: 0.003545 Loss_D_real: -0.020580 Loss_D_fake -0.001866
[1726/5000][265/535][178193] Loss_D: -0.018065 Loss_G: 0.017637 Loss_D_real: -0.026475 Loss_D_fake -0.008410
[1726/5000][270/535][178194] Loss_D: -0.017794 Loss_G: -0.005731 Loss_D_real: 0.003059 Loss_D_fake 0.020853
[1726/5000][275/535][178195] Loss_D: -0.019672 Loss_G: -0.009662 Loss_D_real: -0.012722 Loss_D_fake 0.006950
[1726/5000][280/535][178196] Loss_D: -0.018380 Loss_G: -0.001134 Loss_D_real: -0.009862 Loss_D_fake 0.008519
[1726/5000][285/535][178197] Loss_D: -0.017863 Loss_G: 0.009440 Loss_D_real: -0.019522 Loss_D_fake -0.001658
[1726/5000][290/535][178198] Loss_D: -0.018885 Loss_G: -0.005808 Loss_D_real: -0.008932 Loss_D_fake 0.009953
[1726/5000][295/535][178199] Loss_D: -0.019102 Loss_G: 0.008168 Loss_D_real: -0.011597 Loss_D_fake 0.007505
[1726/5000][300/535][178200] Loss_D: -0.017934 Loss_G: -0.006638 Loss_D_real: -0.005033 Loss_D_fake 0.012900
[1726/5000][305/535][178201] Loss_D: -0.018088 Loss_G: 0.005829 Loss_D_real: -0.006768 Loss_D_fake 0.011320
[1726/5000][310/535][178202] Loss_D: -0.016857 Loss_G: -0.010113 Loss_D_real: -0.006386 Loss_D_fake 0.010471
[1726/5000][315/535][178203] Loss_D: -0.018443 Loss_G: 0.008216 Loss_D_real: -0.022107 Loss_D_fake -0.003664
[1726/5000][320/535][178204] Loss_D: -0.017763 Loss_G: 0.012197 Loss_D_real: -0.013703 Loss_D_fake 0.004060
[1726/5000][325/535][178205] Loss_D: -0.019552 Loss_G: 0.004049 Loss_D_real: -0.015560 Loss_D_fake 0.003992
[1726/5000][330/535][178206] Loss_D: -0.017688 Loss_G: -0.016899 Loss_D_real: 0.000096 Loss_D_fake 0.017784
[1726/5000][335/535][178207] Loss_D: -0.018593 Loss_G: 0.022705 Loss_D_real: -0.015480 Loss_D_fake 0.003113
[1726/5000][340/535][178208] Loss_D: -0.017690 Loss_G: -0.025672 Loss_D_real: -0.001178 Loss_D_fake 0.016511
[1726/5000][345/535][178209] Loss_D: -0.019539 Loss_G: 0.014951 Loss_D_real: -0.005776 Loss_D_fake 0.013762
[1726/5000][350/535][178210] Loss_D: -0.019221 Loss_G: -0.002250 Loss_D_real: -0.014516 Loss_D_fake 0.004705
[1726/5000][355/535][178211] Loss_D: -0.018836 Loss_G: 0.022255 Loss_D_real: -0.014282 Loss_D_fake 0.004555
[1726/5000][360/535][178212] Loss_D: -0.017213 Loss_G: 0.016250 Loss_D_real: -0.009317 Loss_D_fake 0.007896
[1726/5000][365/535][178213] Loss_D: -0.018461 Loss_G: 0.009043 Loss_D_real: -0.019589 Loss_D_fake -0.001128
[1726/5000][370/535][178214] Loss_D: -0.019483 Loss_G: 0.019788 Loss_D_real: -0.022612 Loss_D_fake -0.003129
[1726/5000][375/535][178215] Loss_D: -0.018822 Loss_G: -0.020349 Loss_D_real: -0.003550 Loss_D_fake 0.015271
[1726/5000][380/535][178216] Loss_D: -0.018681 Loss_G: 0.014893 Loss_D_real: -0.016845 Loss_D_fake 0.001836
[1726/5000][385/535][178217] Loss_D: -0.020285 Loss_G: 0.012096 Loss_D_real: -0.018013 Loss_D_fake 0.002272
[1726/5000][390/535][178218] Loss_D: -0.019580 Loss_G: 0.002130 Loss_D_real: -0.004488 Loss_D_fake 0.015092
[1726/5000][395/535][178219] Loss_D: -0.018740 Loss_G: -0.003829 Loss_D_real: -0.015248 Loss_D_fake 0.003491
[1726/5000][400/535][178220] Loss_D: -0.019932 Loss_G: 0.011016 Loss_D_real: -0.010421 Loss_D_fake 0.009511
[1726/5000][405/535][178221] Loss_D: -0.019700 Loss_G: 0.012774 Loss_D_real: -0.020095 Loss_D_fake -0.000395
[1726/5000][410/535][178222] Loss_D: -0.019558 Loss_G: 0.024489 Loss_D_real: -0.025637 Loss_D_fake -0.006080
[1726/5000][415/535][178223] Loss_D: -0.019297 Loss_G: -0.006151 Loss_D_real: -0.009223 Loss_D_fake 0.010074
[1726/5000][420/535][178224] Loss_D: -0.016486 Loss_G: 0.019511 Loss_D_real: -0.030807 Loss_D_fake -0.014321
[1726/5000][425/535][178225] Loss_D: -0.018274 Loss_G: -0.000425 Loss_D_real: 0.000516 Loss_D_fake 0.018790
[1726/5000][430/535][178226] Loss_D: -0.019010 Loss_G: 0.009016 Loss_D_real: -0.036038 Loss_D_fake -0.017028
[1726/5000][435/535][178227] Loss_D: -0.017683 Loss_G: 0.022316 Loss_D_real: -0.025168 Loss_D_fake -0.007485
[1726/5000][440/535][178228] Loss_D: -0.018585 Loss_G: 0.005864 Loss_D_real: -0.012374 Loss_D_fake 0.006212
[1726/5000][445/535][178229] Loss_D: -0.020581 Loss_G: 0.010769 Loss_D_real: -0.003310 Loss_D_fake 0.017271
[1726/5000][450/535][178230] Loss_D: -0.017349 Loss_G: 0.015108 Loss_D_real: -0.042639 Loss_D_fake -0.025291
[1726/5000][455/535][178231] Loss_D: -0.017706 Loss_G: 0.012628 Loss_D_real: -0.023424 Loss_D_fake -0.005718
[1726/5000][460/535][178232] Loss_D: -0.017824 Loss_G: 0.011234 Loss_D_real: -0.023409 Loss_D_fake -0.005585
[1726/5000][465/535][178233] Loss_D: -0.018186 Loss_G: 0.019052 Loss_D_real: -0.027154 Loss_D_fake -0.008969
[1726/5000][470/535][178234] Loss_D: -0.018457 Loss_G: -0.001007 Loss_D_real: -0.017569 Loss_D_fake 0.000888
[1726/5000][475/535][178235] Loss_D: -0.018352 Loss_G: 0.004868 Loss_D_real: -0.010378 Loss_D_fake 0.007974
[1726/5000][480/535][178236] Loss_D: -0.018081 Loss_G: -0.001511 Loss_D_real: -0.017886 Loss_D_fake 0.000195
[1726/5000][485/535][178237] Loss_D: -0.019617 Loss_G: 0.006010 Loss_D_real: -0.012052 Loss_D_fake 0.007565
[1726/5000][490/535][178238] Loss_D: -0.019167 Loss_G: -0.001114 Loss_D_real: -0.003109 Loss_D_fake 0.016059
[1726/5000][495/535][178239] Loss_D: -0.019843 Loss_G: -0.006186 Loss_D_real: 0.003144 Loss_D_fake 0.022987
[1726/5000][500/535][178240] Loss_D: -0.018347 Loss_G: -0.007593 Loss_D_real: -0.020935 Loss_D_fake -0.002589
[1726/5000][505/535][178241] Loss_D: -0.017791 Loss_G: 0.013997 Loss_D_real: -0.022398 Loss_D_fake -0.004606
[1726/5000][510/535][178242] Loss_D: -0.019070 Loss_G: 0.015923 Loss_D_real: -0.023448 Loss_D_fake -0.004378
[1726/5000][515/535][178243] Loss_D: -0.019506 Loss_G: 0.008706 Loss_D_real: -0.015579 Loss_D_fake 0.003927
[1726/5000][520/535][178244] Loss_D: -0.017561 Loss_G: 0.024000 Loss_D_real: -0.018719 Loss_D_fake -0.001157
[1726/5000][525/535][178245] Loss_D: -0.019457 Loss_G: 0.004818 Loss_D_real: -0.024163 Loss_D_fake -0.004706
[1726/5000][530/535][178246] Loss_D: -0.019070 Loss_G: 0.007043 Loss_D_real: -0.020895 Loss_D_fake -0.001824
[1726/5000][535/535][178247] Loss_D: -0.019053 Loss_G: -0.002326 Loss_D_real: 0.000193 Loss_D_fake 0.019246
[1727/5000][5/535][178248] Loss_D: -0.019182 Loss_G: -0.012786 Loss_D_real: -0.011583 Loss_D_fake 0.007599
[1727/5000][10/535][178249] Loss_D: -0.019982 Loss_G: -0.012637 Loss_D_real: -0.012075 Loss_D_fake 0.007907
[1727/5000][15/535][178250] Loss_D: -0.020015 Loss_G: -0.004229 Loss_D_real: -0.003893 Loss_D_fake 0.016123
[1727/5000][20/535][178251] Loss_D: -0.017995 Loss_G: -0.000605 Loss_D_real: -0.009026 Loss_D_fake 0.008969
[1727/5000][25/535][178252] Loss_D: -0.018709 Loss_G: 0.009839 Loss_D_real: -0.002723 Loss_D_fake 0.015985
[1727/5000][30/535][178253] Loss_D: -0.017549 Loss_G: 0.018771 Loss_D_real: -0.026151 Loss_D_fake -0.008602
[1727/5000][35/535][178254] Loss_D: -0.017855 Loss_G: -0.000328 Loss_D_real: -0.003605 Loss_D_fake 0.014251
[1727/5000][40/535][178255] Loss_D: -0.018872 Loss_G: 0.012321 Loss_D_real: -0.008834 Loss_D_fake 0.010038
[1727/5000][45/535][178256] Loss_D: -0.016996 Loss_G: 0.000825 Loss_D_real: -0.019482 Loss_D_fake -0.002486
[1727/5000][50/535][178257] Loss_D: -0.017643 Loss_G: 0.011460 Loss_D_real: -0.035248 Loss_D_fake -0.017605
[1727/5000][55/535][178258] Loss_D: -0.018457 Loss_G: -0.000131 Loss_D_real: -0.015494 Loss_D_fake 0.002963
[1727/5000][60/535][178259] Loss_D: -0.017635 Loss_G: 0.024518 Loss_D_real: -0.014862 Loss_D_fake 0.002773
[1727/5000][65/535][178260] Loss_D: -0.019635 Loss_G: -0.006062 Loss_D_real: -0.004884 Loss_D_fake 0.014751
[1727/5000][70/535][178261] Loss_D: -0.018171 Loss_G: 0.006900 Loss_D_real: -0.017883 Loss_D_fake 0.000288
[1727/5000][75/535][178262] Loss_D: -0.019643 Loss_G: 0.010739 Loss_D_real: -0.025200 Loss_D_fake -0.005557
[1727/5000][80/535][178263] Loss_D: -0.018817 Loss_G: -0.008629 Loss_D_real: -0.015436 Loss_D_fake 0.003380
[1727/5000][85/535][178264] Loss_D: -0.019202 Loss_G: 0.007440 Loss_D_real: -0.020327 Loss_D_fake -0.001125
[1727/5000][90/535][178265] Loss_D: -0.017752 Loss_G: 0.012039 Loss_D_real: -0.016833 Loss_D_fake 0.000919
[1727/5000][95/535][178266] Loss_D: -0.019945 Loss_G: -0.003006 Loss_D_real: -0.010809 Loss_D_fake 0.009136
[1727/5000][100/535][178267] Loss_D: -0.018716 Loss_G: -0.012194 Loss_D_real: 0.000015 Loss_D_fake 0.018731
[1727/5000][105/535][178268] Loss_D: -0.018949 Loss_G: 0.013576 Loss_D_real: -0.014098 Loss_D_fake 0.004851
[1727/5000][110/535][178269] Loss_D: -0.017538 Loss_G: 0.014755 Loss_D_real: -0.019680 Loss_D_fake -0.002142
[1727/5000][115/535][178270] Loss_D: -0.018059 Loss_G: 0.007235 Loss_D_real: -0.006793 Loss_D_fake 0.011266
[1727/5000][120/535][178271] Loss_D: -0.018465 Loss_G: 0.009758 Loss_D_real: -0.018044 Loss_D_fake 0.000421
[1727/5000][125/535][178272] Loss_D: -0.018147 Loss_G: -0.005236 Loss_D_real: -0.018682 Loss_D_fake -0.000535
[1727/5000][130/535][178273] Loss_D: -0.017233 Loss_G: -0.009542 Loss_D_real: 0.001818 Loss_D_fake 0.019050
[1727/5000][135/535][178274] Loss_D: -0.018449 Loss_G: -0.007716 Loss_D_real: -0.004594 Loss_D_fake 0.013855
[1727/5000][140/535][178275] Loss_D: -0.017972 Loss_G: 0.001350 Loss_D_real: -0.008742 Loss_D_fake 0.009229
[1727/5000][145/535][178276] Loss_D: -0.018837 Loss_G: 0.035082 Loss_D_real: -0.026798 Loss_D_fake -0.007961
[1727/5000][150/535][178277] Loss_D: -0.018599 Loss_G: -0.006375 Loss_D_real: -0.014596 Loss_D_fake 0.004003
[1727/5000][155/535][178278] Loss_D: -0.018492 Loss_G: 0.011048 Loss_D_real: -0.027701 Loss_D_fake -0.009208
[1727/5000][160/535][178279] Loss_D: -0.017013 Loss_G: 0.018119 Loss_D_real: -0.035128 Loss_D_fake -0.018115
[1727/5000][165/535][178280] Loss_D: -0.020049 Loss_G: 0.010580 Loss_D_real: -0.013693 Loss_D_fake 0.006356
[1727/5000][170/535][178281] Loss_D: -0.019723 Loss_G: -0.011221 Loss_D_real: -0.017354 Loss_D_fake 0.002369
[1727/5000][175/535][178282] Loss_D: -0.018769 Loss_G: 0.000122 Loss_D_real: -0.010552 Loss_D_fake 0.008217
[1727/5000][180/535][178283] Loss_D: -0.018954 Loss_G: -0.001033 Loss_D_real: -0.001218 Loss_D_fake 0.017736
[1727/5000][185/535][178284] Loss_D: -0.018631 Loss_G: 0.013496 Loss_D_real: -0.017858 Loss_D_fake 0.000774
[1727/5000][190/535][178285] Loss_D: -0.018509 Loss_G: 0.014376 Loss_D_real: -0.027074 Loss_D_fake -0.008565
[1727/5000][195/535][178286] Loss_D: -0.018479 Loss_G: -0.014469 Loss_D_real: 0.003100 Loss_D_fake 0.021579
[1727/5000][200/535][178287] Loss_D: -0.017732 Loss_G: -0.016742 Loss_D_real: 0.001589 Loss_D_fake 0.019321
[1727/5000][205/535][178288] Loss_D: -0.018821 Loss_G: -0.000906 Loss_D_real: -0.003369 Loss_D_fake 0.015452
[1727/5000][210/535][178289] Loss_D: -0.017504 Loss_G: 0.002348 Loss_D_real: -0.001004 Loss_D_fake 0.016500
[1727/5000][215/535][178290] Loss_D: -0.016340 Loss_G: 0.023282 Loss_D_real: -0.026106 Loss_D_fake -0.009766
[1727/5000][220/535][178291] Loss_D: -0.018109 Loss_G: 0.006203 Loss_D_real: -0.003468 Loss_D_fake 0.014641
[1727/5000][225/535][178292] Loss_D: -0.017723 Loss_G: 0.020035 Loss_D_real: -0.023865 Loss_D_fake -0.006141
[1727/5000][230/535][178293] Loss_D: -0.019556 Loss_G: 0.015759 Loss_D_real: -0.025730 Loss_D_fake -0.006174
[1727/5000][235/535][178294] Loss_D: -0.019639 Loss_G: 0.009838 Loss_D_real: -0.012519 Loss_D_fake 0.007120
[1727/5000][240/535][178295] Loss_D: -0.019445 Loss_G: 0.000279 Loss_D_real: -0.016677 Loss_D_fake 0.002769
[1727/5000][245/535][178296] Loss_D: -0.018763 Loss_G: 0.013981 Loss_D_real: -0.021646 Loss_D_fake -0.002884
[1727/5000][250/535][178297] Loss_D: -0.018131 Loss_G: 0.004907 Loss_D_real: -0.021513 Loss_D_fake -0.003382
[1727/5000][255/535][178298] Loss_D: -0.018519 Loss_G: 0.017271 Loss_D_real: -0.016650 Loss_D_fake 0.001869
[1727/5000][260/535][178299] Loss_D: -0.018630 Loss_G: 0.014878 Loss_D_real: -0.027006 Loss_D_fake -0.008375
[1727/5000][265/535][178300] Loss_D: -0.018102 Loss_G: 0.001788 Loss_D_real: -0.010732 Loss_D_fake 0.007369
[1727/5000][270/535][178301] Loss_D: -0.020046 Loss_G: 0.005014 Loss_D_real: -0.020787 Loss_D_fake -0.000741
[1727/5000][275/535][178302] Loss_D: -0.018863 Loss_G: 0.001229 Loss_D_real: -0.025953 Loss_D_fake -0.007090
[1727/5000][280/535][178303] Loss_D: -0.018874 Loss_G: 0.011562 Loss_D_real: -0.038635 Loss_D_fake -0.019760
[1727/5000][285/535][178304] Loss_D: -0.018209 Loss_G: 0.001650 Loss_D_real: -0.014795 Loss_D_fake 0.003414
[1727/5000][290/535][178305] Loss_D: -0.018007 Loss_G: 0.013386 Loss_D_real: -0.018358 Loss_D_fake -0.000350
[1727/5000][295/535][178306] Loss_D: -0.017864 Loss_G: -0.001193 Loss_D_real: -0.009831 Loss_D_fake 0.008033
[1727/5000][300/535][178307] Loss_D: -0.019780 Loss_G: 0.016879 Loss_D_real: -0.011722 Loss_D_fake 0.008058
[1727/5000][305/535][178308] Loss_D: -0.018717 Loss_G: 0.007330 Loss_D_real: -0.024442 Loss_D_fake -0.005725
[1727/5000][310/535][178309] Loss_D: -0.018141 Loss_G: -0.007376 Loss_D_real: -0.010817 Loss_D_fake 0.007324
[1727/5000][315/535][178310] Loss_D: -0.019181 Loss_G: 0.026711 Loss_D_real: -0.024993 Loss_D_fake -0.005812
[1727/5000][320/535][178311] Loss_D: -0.018226 Loss_G: 0.028819 Loss_D_real: -0.018300 Loss_D_fake -0.000074
[1727/5000][325/535][178312] Loss_D: -0.017481 Loss_G: 0.018220 Loss_D_real: -0.033653 Loss_D_fake -0.016172
[1727/5000][330/535][178313] Loss_D: -0.019350 Loss_G: -0.012320 Loss_D_real: -0.019073 Loss_D_fake 0.000277
[1727/5000][335/535][178314] Loss_D: -0.017851 Loss_G: 0.004709 Loss_D_real: -0.011529 Loss_D_fake 0.006322
[1727/5000][340/535][178315] Loss_D: -0.018655 Loss_G: 0.009197 Loss_D_real: -0.004458 Loss_D_fake 0.014198
[1727/5000][345/535][178316] Loss_D: -0.018937 Loss_G: 0.015721 Loss_D_real: -0.028941 Loss_D_fake -0.010005
[1727/5000][350/535][178317] Loss_D: -0.019209 Loss_G: 0.004522 Loss_D_real: -0.007356 Loss_D_fake 0.011853
[1727/5000][355/535][178318] Loss_D: -0.018205 Loss_G: 0.016238 Loss_D_real: -0.020471 Loss_D_fake -0.002266
[1727/5000][360/535][178319] Loss_D: -0.018743 Loss_G: 0.009143 Loss_D_real: -0.017311 Loss_D_fake 0.001432
[1727/5000][365/535][178320] Loss_D: -0.017762 Loss_G: -0.012415 Loss_D_real: -0.009879 Loss_D_fake 0.007883
[1727/5000][370/535][178321] Loss_D: -0.018907 Loss_G: 0.002747 Loss_D_real: -0.013063 Loss_D_fake 0.005844
[1727/5000][375/535][178322] Loss_D: -0.019449 Loss_G: 0.009832 Loss_D_real: -0.031855 Loss_D_fake -0.012406
[1727/5000][380/535][178323] Loss_D: -0.019852 Loss_G: 0.017218 Loss_D_real: -0.027440 Loss_D_fake -0.007587
[1727/5000][385/535][178324] Loss_D: -0.018712 Loss_G: 0.018444 Loss_D_real: -0.025885 Loss_D_fake -0.007173
[1727/5000][390/535][178325] Loss_D: -0.019964 Loss_G: 0.016282 Loss_D_real: -0.025046 Loss_D_fake -0.005082
[1727/5000][395/535][178326] Loss_D: -0.019514 Loss_G: 0.015636 Loss_D_real: -0.016363 Loss_D_fake 0.003150
[1727/5000][400/535][178327] Loss_D: -0.019598 Loss_G: -0.013085 Loss_D_real: -0.008854 Loss_D_fake 0.010744
[1727/5000][405/535][178328] Loss_D: -0.019716 Loss_G: 0.031179 Loss_D_real: -0.013560 Loss_D_fake 0.006157
[1727/5000][410/535][178329] Loss_D: -0.018687 Loss_G: -0.002940 Loss_D_real: -0.021592 Loss_D_fake -0.002905
[1727/5000][415/535][178330] Loss_D: -0.019222 Loss_G: 0.008762 Loss_D_real: -0.024625 Loss_D_fake -0.005403
[1727/5000][420/535][178331] Loss_D: -0.018411 Loss_G: -0.004539 Loss_D_real: -0.024022 Loss_D_fake -0.005612
[1727/5000][425/535][178332] Loss_D: -0.018370 Loss_G: 0.018204 Loss_D_real: -0.021866 Loss_D_fake -0.003496
[1727/5000][430/535][178333] Loss_D: -0.016223 Loss_G: 0.013199 Loss_D_real: -0.015658 Loss_D_fake 0.000565
[1727/5000][435/535][178334] Loss_D: -0.017426 Loss_G: -0.013644 Loss_D_real: -0.011907 Loss_D_fake 0.005519
[1727/5000][440/535][178335] Loss_D: -0.016794 Loss_G: 0.013884 Loss_D_real: -0.016955 Loss_D_fake -0.000161
[1727/5000][445/535][178336] Loss_D: -0.018376 Loss_G: -0.015620 Loss_D_real: -0.001709 Loss_D_fake 0.016666
[1727/5000][450/535][178337] Loss_D: -0.018801 Loss_G: 0.001443 Loss_D_real: -0.008398 Loss_D_fake 0.010404
[1727/5000][455/535][178338] Loss_D: -0.019348 Loss_G: 0.009903 Loss_D_real: 0.001692 Loss_D_fake 0.021040
[1727/5000][460/535][178339] Loss_D: -0.018913 Loss_G: 0.016700 Loss_D_real: -0.028014 Loss_D_fake -0.009100
[1727/5000][465/535][178340] Loss_D: -0.018373 Loss_G: 0.001426 Loss_D_real: 0.005019 Loss_D_fake 0.023392
[1727/5000][470/535][178341] Loss_D: -0.018169 Loss_G: 0.009266 Loss_D_real: -0.011685 Loss_D_fake 0.006484
[1727/5000][475/535][178342] Loss_D: -0.018965 Loss_G: 0.000733 Loss_D_real: -0.008577 Loss_D_fake 0.010388
[1727/5000][480/535][178343] Loss_D: -0.016550 Loss_G: 0.034376 Loss_D_real: -0.028975 Loss_D_fake -0.012425
[1727/5000][485/535][178344] Loss_D: -0.019319 Loss_G: -0.005563 Loss_D_real: -0.008363 Loss_D_fake 0.010956
[1727/5000][490/535][178345] Loss_D: -0.018802 Loss_G: 0.006801 Loss_D_real: -0.029716 Loss_D_fake -0.010914
[1727/5000][495/535][178346] Loss_D: -0.017915 Loss_G: -0.012408 Loss_D_real: 0.002802 Loss_D_fake 0.020718
[1727/5000][500/535][178347] Loss_D: -0.018633 Loss_G: 0.018570 Loss_D_real: -0.024304 Loss_D_fake -0.005671
[1727/5000][505/535][178348] Loss_D: -0.018708 Loss_G: 0.002312 Loss_D_real: -0.012861 Loss_D_fake 0.005848
[1727/5000][510/535][178349] Loss_D: -0.018339 Loss_G: -0.003248 Loss_D_real: -0.006838 Loss_D_fake 0.011502
[1727/5000][515/535][178350] Loss_D: -0.018863 Loss_G: 0.013653 Loss_D_real: -0.020035 Loss_D_fake -0.001172
[1727/5000][520/535][178351] Loss_D: -0.019286 Loss_G: -0.013251 Loss_D_real: -0.006928 Loss_D_fake 0.012358
[1727/5000][525/535][178352] Loss_D: -0.019698 Loss_G: 0.024815 Loss_D_real: -0.018172 Loss_D_fake 0.001526
[1727/5000][530/535][178353] Loss_D: -0.018706 Loss_G: -0.000600 Loss_D_real: -0.005654 Loss_D_fake 0.013052
[1727/5000][535/535][178354] Loss_D: -0.017119 Loss_G: -0.017562 Loss_D_real: -0.003651 Loss_D_fake 0.013468
[1728/5000][5/535][178355] Loss_D: -0.018245 Loss_G: -0.005439 Loss_D_real: -0.019152 Loss_D_fake -0.000907
[1728/5000][10/535][178356] Loss_D: -0.018793 Loss_G: 0.008866 Loss_D_real: -0.012766 Loss_D_fake 0.006027
[1728/5000][15/535][178357] Loss_D: -0.020034 Loss_G: 0.014558 Loss_D_real: -0.005940 Loss_D_fake 0.014094
[1728/5000][20/535][178358] Loss_D: -0.018026 Loss_G: -0.013760 Loss_D_real: -0.008518 Loss_D_fake 0.009508
[1728/5000][25/535][178359] Loss_D: -0.018015 Loss_G: 0.023741 Loss_D_real: -0.021702 Loss_D_fake -0.003687
[1728/5000][30/535][178360] Loss_D: -0.018708 Loss_G: -0.005585 Loss_D_real: -0.010825 Loss_D_fake 0.007884
[1728/5000][35/535][178361] Loss_D: -0.019422 Loss_G: 0.018220 Loss_D_real: -0.018452 Loss_D_fake 0.000970
[1728/5000][40/535][178362] Loss_D: -0.018320 Loss_G: -0.008091 Loss_D_real: -0.005385 Loss_D_fake 0.012935
[1728/5000][45/535][178363] Loss_D: -0.019239 Loss_G: -0.000805 Loss_D_real: -0.017827 Loss_D_fake 0.001412
[1728/5000][50/535][178364] Loss_D: -0.018960 Loss_G: 0.000108 Loss_D_real: -0.002594 Loss_D_fake 0.016365
[1728/5000][55/535][178365] Loss_D: -0.018262 Loss_G: 0.013157 Loss_D_real: -0.004126 Loss_D_fake 0.014136
[1728/5000][60/535][178366] Loss_D: -0.017802 Loss_G: 0.009114 Loss_D_real: -0.022672 Loss_D_fake -0.004870
[1728/5000][65/535][178367] Loss_D: -0.017532 Loss_G: -0.010697 Loss_D_real: -0.000474 Loss_D_fake 0.017058
[1728/5000][70/535][178368] Loss_D: -0.017260 Loss_G: 0.004141 Loss_D_real: -0.001758 Loss_D_fake 0.015502
[1728/5000][75/535][178369] Loss_D: -0.016710 Loss_G: 0.016941 Loss_D_real: -0.023346 Loss_D_fake -0.006636
[1728/5000][80/535][178370] Loss_D: -0.018309 Loss_G: 0.013076 Loss_D_real: -0.022657 Loss_D_fake -0.004348
[1728/5000][85/535][178371] Loss_D: -0.020260 Loss_G: 0.002933 Loss_D_real: -0.023026 Loss_D_fake -0.002766
[1728/5000][90/535][178372] Loss_D: -0.019270 Loss_G: 0.008901 Loss_D_real: -0.018382 Loss_D_fake 0.000888
[1728/5000][95/535][178373] Loss_D: -0.019315 Loss_G: 0.014066 Loss_D_real: -0.010278 Loss_D_fake 0.009038
[1728/5000][100/535][178374] Loss_D: -0.019166 Loss_G: -0.010108 Loss_D_real: -0.001112 Loss_D_fake 0.018054
[1728/5000][105/535][178375] Loss_D: -0.017659 Loss_G: 0.018646 Loss_D_real: -0.018850 Loss_D_fake -0.001191
[1728/5000][110/535][178376] Loss_D: -0.020241 Loss_G: 0.008271 Loss_D_real: -0.016826 Loss_D_fake 0.003415
[1728/5000][115/535][178377] Loss_D: -0.018988 Loss_G: 0.001568 Loss_D_real: -0.004702 Loss_D_fake 0.014286
[1728/5000][120/535][178378] Loss_D: -0.018263 Loss_G: 0.006727 Loss_D_real: -0.010330 Loss_D_fake 0.007933
[1728/5000][125/535][178379] Loss_D: -0.018631 Loss_G: 0.017434 Loss_D_real: -0.019854 Loss_D_fake -0.001223
[1728/5000][130/535][178380] Loss_D: -0.018476 Loss_G: -0.014702 Loss_D_real: -0.000255 Loss_D_fake 0.018221
[1728/5000][135/535][178381] Loss_D: -0.017208 Loss_G: 0.011359 Loss_D_real: -0.019487 Loss_D_fake -0.002279
[1728/5000][140/535][178382] Loss_D: -0.018340 Loss_G: -0.006867 Loss_D_real: -0.012676 Loss_D_fake 0.005664
[1728/5000][145/535][178383] Loss_D: -0.017822 Loss_G: 0.000398 Loss_D_real: -0.021821 Loss_D_fake -0.003999
[1728/5000][150/535][178384] Loss_D: -0.019123 Loss_G: -0.005273 Loss_D_real: -0.008156 Loss_D_fake 0.010967
[1728/5000][155/535][178385] Loss_D: -0.019174 Loss_G: 0.016888 Loss_D_real: -0.020174 Loss_D_fake -0.000999
[1728/5000][160/535][178386] Loss_D: -0.019426 Loss_G: 0.020024 Loss_D_real: -0.018172 Loss_D_fake 0.001254
[1728/5000][165/535][178387] Loss_D: -0.020144 Loss_G: 0.013572 Loss_D_real: -0.002729 Loss_D_fake 0.017415
[1728/5000][170/535][178388] Loss_D: -0.017333 Loss_G: 0.008702 Loss_D_real: -0.014938 Loss_D_fake 0.002395
[1728/5000][175/535][178389] Loss_D: -0.018233 Loss_G: -0.006947 Loss_D_real: -0.008173 Loss_D_fake 0.010059
[1728/5000][180/535][178390] Loss_D: -0.019089 Loss_G: 0.004480 Loss_D_real: -0.007188 Loss_D_fake 0.011901
[1728/5000][185/535][178391] Loss_D: -0.018171 Loss_G: -0.005952 Loss_D_real: -0.016570 Loss_D_fake 0.001602
[1728/5000][190/535][178392] Loss_D: -0.018730 Loss_G: -0.005512 Loss_D_real: -0.014442 Loss_D_fake 0.004288
[1728/5000][195/535][178393] Loss_D: -0.017898 Loss_G: 0.030541 Loss_D_real: -0.022059 Loss_D_fake -0.004161
[1728/5000][200/535][178394] Loss_D: -0.017790 Loss_G: -0.009719 Loss_D_real: -0.009953 Loss_D_fake 0.007837
[1728/5000][205/535][178395] Loss_D: -0.018632 Loss_G: 0.001970 Loss_D_real: -0.014933 Loss_D_fake 0.003699
[1728/5000][210/535][178396] Loss_D: -0.018745 Loss_G: 0.016099 Loss_D_real: -0.028086 Loss_D_fake -0.009341
[1728/5000][215/535][178397] Loss_D: -0.016974 Loss_G: 0.028745 Loss_D_real: -0.034791 Loss_D_fake -0.017817
[1728/5000][220/535][178398] Loss_D: -0.018535 Loss_G: 0.016757 Loss_D_real: -0.019262 Loss_D_fake -0.000727
[1728/5000][225/535][178399] Loss_D: -0.019977 Loss_G: 0.002933 Loss_D_real: -0.012601 Loss_D_fake 0.007376
[1728/5000][230/535][178400] Loss_D: -0.018012 Loss_G: 0.022784 Loss_D_real: -0.015996 Loss_D_fake 0.002016
[1728/5000][235/535][178401] Loss_D: -0.018179 Loss_G: 0.014822 Loss_D_real: -0.015558 Loss_D_fake 0.002621
[1728/5000][240/535][178402] Loss_D: -0.020169 Loss_G: 0.027419 Loss_D_real: -0.025400 Loss_D_fake -0.005231
[1728/5000][245/535][178403] Loss_D: -0.018023 Loss_G: -0.018914 Loss_D_real: -0.008992 Loss_D_fake 0.009032
[1728/5000][250/535][178404] Loss_D: -0.017056 Loss_G: 0.034513 Loss_D_real: -0.021391 Loss_D_fake -0.004335
[1728/5000][255/535][178405] Loss_D: -0.017113 Loss_G: -0.025494 Loss_D_real: 0.006531 Loss_D_fake 0.023644
[1728/5000][260/535][178406] Loss_D: -0.018300 Loss_G: 0.005612 Loss_D_real: -0.017872 Loss_D_fake 0.000428
[1728/5000][265/535][178407] Loss_D: -0.019811 Loss_G: 0.019103 Loss_D_real: -0.021274 Loss_D_fake -0.001463
[1728/5000][270/535][178408] Loss_D: -0.018672 Loss_G: 0.007509 Loss_D_real: -0.012416 Loss_D_fake 0.006257
[1728/5000][275/535][178409] Loss_D: -0.017224 Loss_G: 0.009874 Loss_D_real: -0.013535 Loss_D_fake 0.003689
[1728/5000][280/535][178410] Loss_D: -0.018245 Loss_G: 0.003864 Loss_D_real: -0.020191 Loss_D_fake -0.001946
[1728/5000][285/535][178411] Loss_D: -0.018759 Loss_G: -0.003735 Loss_D_real: -0.005275 Loss_D_fake 0.013484
[1728/5000][290/535][178412] Loss_D: -0.018112 Loss_G: -0.009788 Loss_D_real: -0.006911 Loss_D_fake 0.011201
[1728/5000][295/535][178413] Loss_D: -0.016555 Loss_G: 0.014112 Loss_D_real: -0.023266 Loss_D_fake -0.006710
[1728/5000][300/535][178414] Loss_D: -0.016830 Loss_G: 0.016522 Loss_D_real: -0.019198 Loss_D_fake -0.002368
[1728/5000][305/535][178415] Loss_D: -0.018916 Loss_G: 0.001432 Loss_D_real: -0.006123 Loss_D_fake 0.012793
[1728/5000][310/535][178416] Loss_D: -0.018685 Loss_G: -0.013007 Loss_D_real: -0.001855 Loss_D_fake 0.016830
[1728/5000][315/535][178417] Loss_D: -0.018542 Loss_G: 0.012239 Loss_D_real: -0.016857 Loss_D_fake 0.001685
[1728/5000][320/535][178418] Loss_D: -0.017477 Loss_G: 0.011645 Loss_D_real: -0.020947 Loss_D_fake -0.003470
[1728/5000][325/535][178419] Loss_D: -0.018390 Loss_G: -0.002009 Loss_D_real: -0.016860 Loss_D_fake 0.001530
[1728/5000][330/535][178420] Loss_D: -0.018415 Loss_G: -0.009986 Loss_D_real: -0.005416 Loss_D_fake 0.012999
[1728/5000][335/535][178421] Loss_D: -0.018899 Loss_G: 0.004763 Loss_D_real: -0.009703 Loss_D_fake 0.009196
[1728/5000][340/535][178422] Loss_D: -0.017526 Loss_G: 0.014457 Loss_D_real: -0.015580 Loss_D_fake 0.001945
[1728/5000][345/535][178423] Loss_D: -0.019360 Loss_G: 0.011694 Loss_D_real: -0.016121 Loss_D_fake 0.003239
[1728/5000][350/535][178424] Loss_D: -0.018313 Loss_G: 0.012333 Loss_D_real: -0.019218 Loss_D_fake -0.000905
[1728/5000][355/535][178425] Loss_D: -0.019766 Loss_G: -0.000573 Loss_D_real: -0.010978 Loss_D_fake 0.008788
[1728/5000][360/535][178426] Loss_D: -0.019080 Loss_G: -0.005223 Loss_D_real: -0.011863 Loss_D_fake 0.007217
[1728/5000][365/535][178427] Loss_D: -0.018665 Loss_G: 0.003904 Loss_D_real: -0.011021 Loss_D_fake 0.007645
[1728/5000][370/535][178428] Loss_D: -0.018422 Loss_G: 0.006420 Loss_D_real: -0.003962 Loss_D_fake 0.014460
[1728/5000][375/535][178429] Loss_D: -0.019914 Loss_G: 0.013312 Loss_D_real: -0.009863 Loss_D_fake 0.010051
[1728/5000][380/535][178430] Loss_D: -0.018029 Loss_G: 0.022815 Loss_D_real: -0.026769 Loss_D_fake -0.008740
[1728/5000][385/535][178431] Loss_D: -0.017983 Loss_G: -0.004808 Loss_D_real: -0.008306 Loss_D_fake 0.009677
[1728/5000][390/535][178432] Loss_D: -0.018178 Loss_G: -0.000299 Loss_D_real: -0.009307 Loss_D_fake 0.008872
[1728/5000][395/535][178433] Loss_D: -0.019434 Loss_G: 0.010183 Loss_D_real: -0.017735 Loss_D_fake 0.001699
[1728/5000][400/535][178434] Loss_D: -0.019807 Loss_G: 0.012516 Loss_D_real: -0.023856 Loss_D_fake -0.004049
[1728/5000][405/535][178435] Loss_D: -0.017784 Loss_G: -0.000588 Loss_D_real: -0.021097 Loss_D_fake -0.003313
[1728/5000][410/535][178436] Loss_D: -0.018200 Loss_G: 0.000599 Loss_D_real: -0.023847 Loss_D_fake -0.005647
[1728/5000][415/535][178437] Loss_D: -0.018898 Loss_G: 0.010728 Loss_D_real: -0.025098 Loss_D_fake -0.006200
[1728/5000][420/535][178438] Loss_D: -0.014820 Loss_G: 0.029408 Loss_D_real: -0.033185 Loss_D_fake -0.018365
[1728/5000][425/535][178439] Loss_D: -0.017624 Loss_G: 0.029069 Loss_D_real: -0.026998 Loss_D_fake -0.009374
[1728/5000][430/535][178440] Loss_D: -0.017843 Loss_G: 0.013721 Loss_D_real: -0.026107 Loss_D_fake -0.008264
[1728/5000][435/535][178441] Loss_D: -0.018529 Loss_G: 0.002034 Loss_D_real: -0.012619 Loss_D_fake 0.005910
[1728/5000][440/535][178442] Loss_D: -0.018469 Loss_G: -0.006520 Loss_D_real: -0.016823 Loss_D_fake 0.001647
[1728/5000][445/535][178443] Loss_D: -0.018981 Loss_G: 0.013967 Loss_D_real: -0.032605 Loss_D_fake -0.013624
[1728/5000][450/535][178444] Loss_D: -0.017702 Loss_G: -0.013042 Loss_D_real: -0.007393 Loss_D_fake 0.010309
[1728/5000][455/535][178445] Loss_D: -0.018109 Loss_G: 0.012942 Loss_D_real: -0.014337 Loss_D_fake 0.003772
[1728/5000][460/535][178446] Loss_D: -0.018465 Loss_G: 0.003984 Loss_D_real: -0.018318 Loss_D_fake 0.000148
[1728/5000][465/535][178447] Loss_D: -0.018982 Loss_G: 0.030134 Loss_D_real: -0.020121 Loss_D_fake -0.001138
[1728/5000][470/535][178448] Loss_D: -0.016945 Loss_G: 0.007835 Loss_D_real: -0.025720 Loss_D_fake -0.008775
[1728/5000][475/535][178449] Loss_D: -0.019236 Loss_G: 0.014294 Loss_D_real: -0.026162 Loss_D_fake -0.006926
[1728/5000][480/535][178450] Loss_D: -0.017543 Loss_G: 0.038377 Loss_D_real: -0.027480 Loss_D_fake -0.009937
[1728/5000][485/535][178451] Loss_D: -0.019638 Loss_G: 0.014012 Loss_D_real: -0.009446 Loss_D_fake 0.010192
[1728/5000][490/535][178452] Loss_D: -0.018704 Loss_G: 0.017488 Loss_D_real: -0.020067 Loss_D_fake -0.001363
[1728/5000][495/535][178453] Loss_D: -0.016531 Loss_G: -0.006476 Loss_D_real: -0.009456 Loss_D_fake 0.007075
[1728/5000][500/535][178454] Loss_D: -0.018099 Loss_G: 0.006417 Loss_D_real: -0.016234 Loss_D_fake 0.001865
[1728/5000][505/535][178455] Loss_D: -0.019082 Loss_G: -0.000308 Loss_D_real: -0.014013 Loss_D_fake 0.005068
[1728/5000][510/535][178456] Loss_D: -0.018376 Loss_G: 0.018030 Loss_D_real: -0.031991 Loss_D_fake -0.013615
[1728/5000][515/535][178457] Loss_D: -0.018415 Loss_G: 0.017330 Loss_D_real: -0.013048 Loss_D_fake 0.005367
[1728/5000][520/535][178458] Loss_D: -0.018788 Loss_G: 0.007770 Loss_D_real: -0.018672 Loss_D_fake 0.000116
[1728/5000][525/535][178459] Loss_D: -0.017779 Loss_G: 0.006811 Loss_D_real: -0.017259 Loss_D_fake 0.000520
[1728/5000][530/535][178460] Loss_D: -0.018046 Loss_G: 0.024118 Loss_D_real: -0.027878 Loss_D_fake -0.009833
[1728/5000][535/535][178461] Loss_D: -0.016730 Loss_G: 0.032006 Loss_D_real: -0.005853 Loss_D_fake 0.010877
[1729/5000][5/535][178462] Loss_D: -0.018088 Loss_G: 0.008375 Loss_D_real: -0.017170 Loss_D_fake 0.000919
[1729/5000][10/535][178463] Loss_D: -0.018752 Loss_G: 0.016586 Loss_D_real: -0.023898 Loss_D_fake -0.005146
[1729/5000][15/535][178464] Loss_D: -0.020006 Loss_G: -0.002531 Loss_D_real: -0.017678 Loss_D_fake 0.002328
[1729/5000][20/535][178465] Loss_D: -0.018528 Loss_G: 0.003814 Loss_D_real: -0.018094 Loss_D_fake 0.000434
[1729/5000][25/535][178466] Loss_D: -0.019939 Loss_G: -0.011725 Loss_D_real: -0.007324 Loss_D_fake 0.012615
[1729/5000][30/535][178467] Loss_D: -0.019307 Loss_G: 0.016259 Loss_D_real: -0.021345 Loss_D_fake -0.002038
[1729/5000][35/535][178468] Loss_D: -0.019269 Loss_G: 0.016964 Loss_D_real: -0.020519 Loss_D_fake -0.001250
[1729/5000][40/535][178469] Loss_D: -0.018973 Loss_G: 0.010543 Loss_D_real: -0.025520 Loss_D_fake -0.006547
[1729/5000][45/535][178470] Loss_D: -0.018786 Loss_G: 0.007478 Loss_D_real: -0.011174 Loss_D_fake 0.007612
[1729/5000][50/535][178471] Loss_D: -0.019934 Loss_G: 0.015338 Loss_D_real: -0.003007 Loss_D_fake 0.016926
[1729/5000][55/535][178472] Loss_D: -0.019580 Loss_G: 0.021242 Loss_D_real: -0.018856 Loss_D_fake 0.000724
[1729/5000][60/535][178473] Loss_D: -0.019341 Loss_G: -0.006931 Loss_D_real: -0.012445 Loss_D_fake 0.006897
[1729/5000][65/535][178474] Loss_D: -0.018234 Loss_G: -0.004154 Loss_D_real: -0.016255 Loss_D_fake 0.001979
[1729/5000][70/535][178475] Loss_D: -0.018999 Loss_G: 0.005263 Loss_D_real: -0.014725 Loss_D_fake 0.004274
[1729/5000][75/535][178476] Loss_D: -0.019771 Loss_G: 0.025334 Loss_D_real: -0.014095 Loss_D_fake 0.005676
[1729/5000][80/535][178477] Loss_D: -0.018208 Loss_G: 0.015429 Loss_D_real: -0.031172 Loss_D_fake -0.012964
[1729/5000][85/535][178478] Loss_D: -0.018929 Loss_G: -0.003252 Loss_D_real: -0.006241 Loss_D_fake 0.012689
[1729/5000][90/535][178479] Loss_D: -0.018859 Loss_G: -0.008508 Loss_D_real: 0.001225 Loss_D_fake 0.020084
[1729/5000][95/535][178480] Loss_D: -0.018570 Loss_G: 0.013063 Loss_D_real: -0.017440 Loss_D_fake 0.001131
[1729/5000][100/535][178481] Loss_D: -0.018595 Loss_G: 0.002517 Loss_D_real: 0.000061 Loss_D_fake 0.018656
[1729/5000][105/535][178482] Loss_D: -0.016840 Loss_G: -0.015124 Loss_D_real: 0.008649 Loss_D_fake 0.025489
[1729/5000][110/535][178483] Loss_D: -0.017982 Loss_G: 0.014403 Loss_D_real: -0.012362 Loss_D_fake 0.005620
[1729/5000][115/535][178484] Loss_D: -0.018875 Loss_G: 0.018419 Loss_D_real: -0.015599 Loss_D_fake 0.003276
[1729/5000][120/535][178485] Loss_D: -0.017935 Loss_G: 0.004120 Loss_D_real: -0.024568 Loss_D_fake -0.006633
[1729/5000][125/535][178486] Loss_D: -0.019935 Loss_G: -0.014619 Loss_D_real: -0.020397 Loss_D_fake -0.000462
[1729/5000][130/535][178487] Loss_D: -0.018938 Loss_G: -0.001419 Loss_D_real: -0.005348 Loss_D_fake 0.013590
[1729/5000][135/535][178488] Loss_D: -0.016817 Loss_G: -0.016225 Loss_D_real: 0.000782 Loss_D_fake 0.017599
[1729/5000][140/535][178489] Loss_D: -0.017051 Loss_G: 0.015299 Loss_D_real: -0.018916 Loss_D_fake -0.001866
[1729/5000][145/535][178490] Loss_D: -0.017963 Loss_G: 0.011395 Loss_D_real: -0.030766 Loss_D_fake -0.012803
[1729/5000][150/535][178491] Loss_D: -0.019233 Loss_G: 0.004243 Loss_D_real: -0.016430 Loss_D_fake 0.002803
[1729/5000][155/535][178492] Loss_D: -0.018224 Loss_G: 0.011915 Loss_D_real: -0.019783 Loss_D_fake -0.001560
[1729/5000][160/535][178493] Loss_D: -0.017456 Loss_G: -0.007961 Loss_D_real: -0.002596 Loss_D_fake 0.014860
[1729/5000][165/535][178494] Loss_D: -0.017896 Loss_G: -0.009838 Loss_D_real: -0.008233 Loss_D_fake 0.009662
[1729/5000][170/535][178495] Loss_D: -0.018274 Loss_G: 0.016559 Loss_D_real: -0.028811 Loss_D_fake -0.010537
[1729/5000][175/535][178496] Loss_D: -0.019095 Loss_G: 0.005157 Loss_D_real: -0.013756 Loss_D_fake 0.005339
[1729/5000][180/535][178497] Loss_D: -0.019224 Loss_G: -0.011876 Loss_D_real: 0.001077 Loss_D_fake 0.020301
[1729/5000][185/535][178498] Loss_D: -0.018005 Loss_G: 0.006819 Loss_D_real: 0.001267 Loss_D_fake 0.019272
[1729/5000][190/535][178499] Loss_D: -0.019039 Loss_G: 0.021828 Loss_D_real: -0.012189 Loss_D_fake 0.006850
[1729/5000][195/535][178500] Loss_D: -0.018833 Loss_G: 0.032013 Loss_D_real: -0.025319 Loss_D_fake -0.006487
[1729/5000][295/535][178501] Loss_D: -0.021341 Loss_G: 0.001398 Loss_D_real: -0.008138 Loss_D_fake 0.013203
[1729/5000][300/535][178502] Loss_D: -0.017767 Loss_G: 0.008372 Loss_D_real: 0.000077 Loss_D_fake 0.017845
[1729/5000][305/535][178503] Loss_D: -0.016785 Loss_G: 0.013973 Loss_D_real: -0.019270 Loss_D_fake -0.002485
[1729/5000][310/535][178504] Loss_D: -0.017412 Loss_G: 0.001016 Loss_D_real: -0.015859 Loss_D_fake 0.001553
[1729/5000][315/535][178505] Loss_D: -0.017862 Loss_G: -0.002801 Loss_D_real: -0.009239 Loss_D_fake 0.008623
[1729/5000][320/535][178506] Loss_D: -0.017318 Loss_G: 0.005135 Loss_D_real: -0.020522 Loss_D_fake -0.003205
[1729/5000][325/535][178507] Loss_D: -0.016925 Loss_G: 0.000305 Loss_D_real: -0.026578 Loss_D_fake -0.009653
[1729/5000][330/535][178508] Loss_D: -0.017454 Loss_G: 0.005276 Loss_D_real: -0.010962 Loss_D_fake 0.006492
[1729/5000][335/535][178509] Loss_D: -0.017716 Loss_G: 0.013974 Loss_D_real: -0.030980 Loss_D_fake -0.013265
[1729/5000][340/535][178510] Loss_D: -0.018201 Loss_G: 0.014602 Loss_D_real: -0.024897 Loss_D_fake -0.006696
[1729/5000][345/535][178511] Loss_D: -0.019472 Loss_G: -0.005244 Loss_D_real: -0.003133 Loss_D_fake 0.016339
[1729/5000][350/535][178512] Loss_D: -0.017759 Loss_G: 0.011608 Loss_D_real: -0.012855 Loss_D_fake 0.004904
[1729/5000][355/535][178513] Loss_D: -0.016920 Loss_G: 0.009457 Loss_D_real: -0.018330 Loss_D_fake -0.001410
[1729/5000][360/535][178514] Loss_D: -0.017068 Loss_G: 0.015699 Loss_D_real: -0.027354 Loss_D_fake -0.010286
[1729/5000][365/535][178515] Loss_D: -0.017085 Loss_G: -0.007925 Loss_D_real: 0.000735 Loss_D_fake 0.017819
[1729/5000][370/535][178516] Loss_D: -0.019226 Loss_G: -0.004113 Loss_D_real: -0.025963 Loss_D_fake -0.006736
[1729/5000][375/535][178517] Loss_D: -0.018667 Loss_G: 0.017760 Loss_D_real: -0.014554 Loss_D_fake 0.004113
[1729/5000][380/535][178518] Loss_D: -0.018808 Loss_G: -0.002130 Loss_D_real: -0.011463 Loss_D_fake 0.007345
[1729/5000][385/535][178519] Loss_D: -0.018432 Loss_G: 0.015882 Loss_D_real: -0.033705 Loss_D_fake -0.015273
[1729/5000][390/535][178520] Loss_D: -0.016947 Loss_G: -0.000512 Loss_D_real: -0.005556 Loss_D_fake 0.011391
[1729/5000][395/535][178521] Loss_D: -0.017165 Loss_G: 0.018497 Loss_D_real: -0.023890 Loss_D_fake -0.006725
[1729/5000][400/535][178522] Loss_D: -0.017569 Loss_G: 0.015028 Loss_D_real: -0.023908 Loss_D_fake -0.006339
[1729/5000][405/535][178523] Loss_D: -0.018588 Loss_G: 0.012866 Loss_D_real: -0.030364 Loss_D_fake -0.011776
[1729/5000][410/535][178524] Loss_D: -0.018639 Loss_G: -0.023255 Loss_D_real: -0.004473 Loss_D_fake 0.014166
[1729/5000][415/535][178525] Loss_D: -0.018748 Loss_G: -0.007728 Loss_D_real: -0.005578 Loss_D_fake 0.013170
[1729/5000][420/535][178526] Loss_D: -0.020546 Loss_G: 0.028257 Loss_D_real: -0.019865 Loss_D_fake 0.000680
[1729/5000][425/535][178527] Loss_D: -0.019421 Loss_G: -0.004979 Loss_D_real: -0.016006 Loss_D_fake 0.003415
[1729/5000][430/535][178528] Loss_D: -0.019387 Loss_G: 0.007009 Loss_D_real: -0.013301 Loss_D_fake 0.006086
[1729/5000][435/535][178529] Loss_D: -0.017909 Loss_G: 0.011254 Loss_D_real: -0.020990 Loss_D_fake -0.003081
[1729/5000][440/535][178530] Loss_D: -0.017252 Loss_G: 0.011431 Loss_D_real: -0.012404 Loss_D_fake 0.004848
[1729/5000][445/535][178531] Loss_D: -0.019336 Loss_G: 0.002224 Loss_D_real: -0.020540 Loss_D_fake -0.001204
[1729/5000][450/535][178532] Loss_D: -0.018884 Loss_G: 0.002436 Loss_D_real: -0.017115 Loss_D_fake 0.001769
[1729/5000][455/535][178533] Loss_D: -0.017589 Loss_G: -0.017316 Loss_D_real: 0.003911 Loss_D_fake 0.021500
[1729/5000][460/535][178534] Loss_D: -0.018365 Loss_G: 0.016725 Loss_D_real: -0.027928 Loss_D_fake -0.009563
[1729/5000][465/535][178535] Loss_D: -0.018520 Loss_G: 0.014298 Loss_D_real: -0.018206 Loss_D_fake 0.000314
[1729/5000][470/535][178536] Loss_D: -0.018518 Loss_G: 0.007149 Loss_D_real: -0.020603 Loss_D_fake -0.002085
[1729/5000][475/535][178537] Loss_D: -0.018248 Loss_G: 0.013584 Loss_D_real: -0.022900 Loss_D_fake -0.004652
[1729/5000][480/535][178538] Loss_D: -0.018374 Loss_G: 0.002181 Loss_D_real: -0.007962 Loss_D_fake 0.010412
[1729/5000][485/535][178539] Loss_D: -0.019556 Loss_G: -0.007492 Loss_D_real: -0.005297 Loss_D_fake 0.014259
[1729/5000][490/535][178540] Loss_D: -0.017485 Loss_G: -0.017988 Loss_D_real: -0.006498 Loss_D_fake 0.010987
[1729/5000][495/535][178541] Loss_D: -0.019050 Loss_G: 0.003645 Loss_D_real: -0.011247 Loss_D_fake 0.007803
[1729/5000][500/535][178542] Loss_D: -0.017374 Loss_G: -0.018385 Loss_D_real: 0.002688 Loss_D_fake 0.020062
[1729/5000][505/535][178543] Loss_D: -0.017157 Loss_G: 0.024171 Loss_D_real: -0.022070 Loss_D_fake -0.004912
[1729/5000][510/535][178544] Loss_D: -0.016642 Loss_G: -0.008960 Loss_D_real: -0.006574 Loss_D_fake 0.010068
[1729/5000][515/535][178545] Loss_D: -0.017510 Loss_G: -0.005396 Loss_D_real: -0.011558 Loss_D_fake 0.005952
[1729/5000][520/535][178546] Loss_D: -0.018020 Loss_G: -0.005229 Loss_D_real: -0.021203 Loss_D_fake -0.003183
[1729/5000][525/535][178547] Loss_D: -0.017083 Loss_G: 0.014372 Loss_D_real: -0.023527 Loss_D_fake -0.006444
[1729/5000][530/535][178548] Loss_D: -0.018570 Loss_G: 0.015473 Loss_D_real: -0.019144 Loss_D_fake -0.000574
[1729/5000][535/535][178549] Loss_D: -0.018992 Loss_G: 0.000114 Loss_D_real: -0.018541 Loss_D_fake 0.000451
[1730/5000][5/535][178550] Loss_D: -0.017137 Loss_G: 0.022496 Loss_D_real: -0.026878 Loss_D_fake -0.009742
[1730/5000][10/535][178551] Loss_D: -0.019013 Loss_G: -0.002374 Loss_D_real: -0.008190 Loss_D_fake 0.010822
[1730/5000][15/535][178552] Loss_D: -0.018270 Loss_G: 0.008426 Loss_D_real: -0.004097 Loss_D_fake 0.014172
[1730/5000][20/535][178553] Loss_D: -0.019304 Loss_G: 0.017394 Loss_D_real: -0.026592 Loss_D_fake -0.007288
[1730/5000][25/535][178554] Loss_D: -0.019125 Loss_G: -0.003351 Loss_D_real: -0.024967 Loss_D_fake -0.005842
[1730/5000][30/535][178555] Loss_D: -0.017988 Loss_G: 0.009438 Loss_D_real: -0.009181 Loss_D_fake 0.008808
[1730/5000][35/535][178556] Loss_D: -0.018234 Loss_G: -0.004773 Loss_D_real: -0.023512 Loss_D_fake -0.005278
[1730/5000][40/535][178557] Loss_D: -0.016402 Loss_G: 0.001409 Loss_D_real: -0.008951 Loss_D_fake 0.007451
[1730/5000][45/535][178558] Loss_D: -0.019074 Loss_G: 0.001649 Loss_D_real: -0.016305 Loss_D_fake 0.002769
[1730/5000][50/535][178559] Loss_D: -0.019209 Loss_G: 0.006856 Loss_D_real: -0.016985 Loss_D_fake 0.002224
[1730/5000][55/535][178560] Loss_D: -0.017023 Loss_G: 0.000743 Loss_D_real: -0.026471 Loss_D_fake -0.009448
[1730/5000][60/535][178561] Loss_D: -0.018785 Loss_G: 0.016977 Loss_D_real: -0.026950 Loss_D_fake -0.008165
[1730/5000][65/535][178562] Loss_D: -0.017886 Loss_G: -0.015189 Loss_D_real: 0.005169 Loss_D_fake 0.023054
[1730/5000][70/535][178563] Loss_D: -0.018056 Loss_G: 0.001480 Loss_D_real: -0.011448 Loss_D_fake 0.006608
[1730/5000][75/535][178564] Loss_D: -0.019280 Loss_G: -0.017993 Loss_D_real: -0.020014 Loss_D_fake -0.000735
[1730/5000][80/535][178565] Loss_D: -0.018046 Loss_G: 0.011064 Loss_D_real: -0.021337 Loss_D_fake -0.003292
[1730/5000][85/535][178566] Loss_D: -0.018818 Loss_G: 0.012153 Loss_D_real: -0.026042 Loss_D_fake -0.007224
[1730/5000][90/535][178567] Loss_D: -0.018612 Loss_G: -0.006159 Loss_D_real: -0.006267 Loss_D_fake 0.012346
[1730/5000][95/535][178568] Loss_D: -0.018643 Loss_G: 0.002899 Loss_D_real: -0.018338 Loss_D_fake 0.000305
[1730/5000][100/535][178569] Loss_D: -0.019260 Loss_G: 0.006822 Loss_D_real: -0.004767 Loss_D_fake 0.014493
[1730/5000][105/535][178570] Loss_D: -0.018270 Loss_G: -0.004601 Loss_D_real: -0.012820 Loss_D_fake 0.005450
[1730/5000][110/535][178571] Loss_D: -0.019082 Loss_G: 0.007246 Loss_D_real: -0.009427 Loss_D_fake 0.009655
[1730/5000][115/535][178572] Loss_D: -0.016115 Loss_G: -0.018185 Loss_D_real: -0.009835 Loss_D_fake 0.006281
[1730/5000][120/535][178573] Loss_D: -0.019065 Loss_G: 0.023487 Loss_D_real: -0.024846 Loss_D_fake -0.005781
[1730/5000][125/535][178574] Loss_D: -0.016628 Loss_G: -0.025463 Loss_D_real: 0.003885 Loss_D_fake 0.020513
[1730/5000][130/535][178575] Loss_D: -0.018614 Loss_G: 0.005504 Loss_D_real: -0.013238 Loss_D_fake 0.005376
[1730/5000][135/535][178576] Loss_D: -0.018917 Loss_G: -0.005994 Loss_D_real: -0.007146 Loss_D_fake 0.011771
[1730/5000][140/535][178577] Loss_D: -0.018276 Loss_G: 0.025206 Loss_D_real: -0.012471 Loss_D_fake 0.005805
[1730/5000][145/535][178578] Loss_D: -0.017003 Loss_G: 0.023371 Loss_D_real: -0.030334 Loss_D_fake -0.013331
[1730/5000][150/535][178579] Loss_D: -0.017583 Loss_G: -0.000876 Loss_D_real: -0.012074 Loss_D_fake 0.005509
[1730/5000][155/535][178580] Loss_D: -0.016453 Loss_G: 0.015668 Loss_D_real: -0.025073 Loss_D_fake -0.008621
[1730/5000][160/535][178581] Loss_D: -0.018491 Loss_G: 0.014168 Loss_D_real: -0.024085 Loss_D_fake -0.005595
[1730/5000][165/535][178582] Loss_D: -0.019946 Loss_G: 0.001382 Loss_D_real: -0.012922 Loss_D_fake 0.007024
[1730/5000][170/535][178583] Loss_D: -0.018867 Loss_G: 0.001847 Loss_D_real: -0.003723 Loss_D_fake 0.015143
[1730/5000][175/535][178584] Loss_D: -0.019718 Loss_G: -0.011874 Loss_D_real: -0.015881 Loss_D_fake 0.003837
[1730/5000][180/535][178585] Loss_D: -0.019042 Loss_G: 0.026264 Loss_D_real: -0.024913 Loss_D_fake -0.005871
[1730/5000][185/535][178586] Loss_D: -0.018356 Loss_G: -0.001843 Loss_D_real: -0.003974 Loss_D_fake 0.014382
[1730/5000][190/535][178587] Loss_D: -0.018460 Loss_G: -0.001715 Loss_D_real: -0.000507 Loss_D_fake 0.017953
[1730/5000][195/535][178588] Loss_D: -0.019557 Loss_G: 0.021012 Loss_D_real: -0.021343 Loss_D_fake -0.001786
[1730/5000][200/535][178589] Loss_D: -0.019003 Loss_G: 0.000373 Loss_D_real: -0.015740 Loss_D_fake 0.003264
[1730/5000][205/535][178590] Loss_D: -0.017987 Loss_G: 0.019762 Loss_D_real: -0.018395 Loss_D_fake -0.000408
[1730/5000][210/535][178591] Loss_D: -0.017633 Loss_G: 0.014619 Loss_D_real: -0.024355 Loss_D_fake -0.006722
[1730/5000][215/535][178592] Loss_D: -0.018606 Loss_G: 0.018614 Loss_D_real: -0.013800 Loss_D_fake 0.004806
[1730/5000][220/535][178593] Loss_D: -0.018886 Loss_G: -0.003563 Loss_D_real: -0.016814 Loss_D_fake 0.002072
[1730/5000][225/535][178594] Loss_D: -0.017736 Loss_G: -0.003693 Loss_D_real: -0.007971 Loss_D_fake 0.009765
[1730/5000][230/535][178595] Loss_D: -0.018217 Loss_G: 0.017389 Loss_D_real: -0.023858 Loss_D_fake -0.005640
[1730/5000][235/535][178596] Loss_D: -0.018246 Loss_G: -0.005694 Loss_D_real: -0.004223 Loss_D_fake 0.014023
[1730/5000][240/535][178597] Loss_D: -0.019481 Loss_G: 0.006953 Loss_D_real: 0.003152 Loss_D_fake 0.022633
[1730/5000][245/535][178598] Loss_D: -0.018154 Loss_G: 0.000521 Loss_D_real: -0.010329 Loss_D_fake 0.007826
[1730/5000][250/535][178599] Loss_D: -0.019117 Loss_G: -0.015526 Loss_D_real: -0.009371 Loss_D_fake 0.009746
[1730/5000][255/535][178600] Loss_D: -0.018231 Loss_G: 0.000051 Loss_D_real: -0.021150 Loss_D_fake -0.002919
[1730/5000][260/535][178601] Loss_D: -0.016507 Loss_G: -0.007904 Loss_D_real: 0.003185 Loss_D_fake 0.019692
[1730/5000][265/535][178602] Loss_D: -0.018024 Loss_G: 0.001495 Loss_D_real: 0.003340 Loss_D_fake 0.021363
[1730/5000][270/535][178603] Loss_D: -0.017802 Loss_G: 0.027064 Loss_D_real: -0.032463 Loss_D_fake -0.014661
[1730/5000][275/535][178604] Loss_D: -0.017566 Loss_G: -0.007093 Loss_D_real: 0.001798 Loss_D_fake 0.019364
[1730/5000][280/535][178605] Loss_D: -0.018974 Loss_G: 0.018150 Loss_D_real: -0.005083 Loss_D_fake 0.013892
[1730/5000][285/535][178606] Loss_D: -0.017855 Loss_G: 0.002094 Loss_D_real: -0.010427 Loss_D_fake 0.007428
[1730/5000][290/535][178607] Loss_D: -0.018815 Loss_G: 0.004558 Loss_D_real: -0.001728 Loss_D_fake 0.017087
[1730/5000][295/535][178608] Loss_D: -0.016962 Loss_G: -0.002035 Loss_D_real: 0.001902 Loss_D_fake 0.018864
[1730/5000][300/535][178609] Loss_D: -0.018371 Loss_G: 0.012531 Loss_D_real: -0.025999 Loss_D_fake -0.007627
[1730/5000][305/535][178610] Loss_D: -0.016680 Loss_G: -0.013594 Loss_D_real: 0.004109 Loss_D_fake 0.020789
[1730/5000][310/535][178611] Loss_D: -0.016140 Loss_G: 0.036941 Loss_D_real: -0.029553 Loss_D_fake -0.013413
[1730/5000][315/535][178612] Loss_D: -0.018635 Loss_G: 0.010321 Loss_D_real: -0.007569 Loss_D_fake 0.011065
[1730/5000][320/535][178613] Loss_D: -0.017522 Loss_G: 0.017776 Loss_D_real: -0.022049 Loss_D_fake -0.004527
[1730/5000][325/535][178614] Loss_D: -0.018576 Loss_G: 0.016665 Loss_D_real: -0.021912 Loss_D_fake -0.003336
[1730/5000][330/535][178615] Loss_D: -0.017896 Loss_G: 0.006020 Loss_D_real: -0.015711 Loss_D_fake 0.002185
[1730/5000][335/535][178616] Loss_D: -0.017842 Loss_G: 0.024122 Loss_D_real: -0.017536 Loss_D_fake 0.000306
[1730/5000][340/535][178617] Loss_D: -0.018887 Loss_G: 0.005395 Loss_D_real: -0.018875 Loss_D_fake 0.000012
[1730/5000][345/535][178618] Loss_D: -0.018701 Loss_G: -0.006395 Loss_D_real: -0.004352 Loss_D_fake 0.014348
[1730/5000][350/535][178619] Loss_D: -0.018353 Loss_G: 0.001169 Loss_D_real: -0.017577 Loss_D_fake 0.000776
[1730/5000][355/535][178620] Loss_D: -0.017038 Loss_G: -0.009957 Loss_D_real: -0.001087 Loss_D_fake 0.015951
[1730/5000][360/535][178621] Loss_D: -0.018045 Loss_G: 0.024610 Loss_D_real: -0.029031 Loss_D_fake -0.010986
[1730/5000][365/535][178622] Loss_D: -0.019179 Loss_G: -0.009605 Loss_D_real: -0.007630 Loss_D_fake 0.011549
[1730/5000][370/535][178623] Loss_D: -0.019163 Loss_G: 0.016409 Loss_D_real: -0.020904 Loss_D_fake -0.001741
[1730/5000][375/535][178624] Loss_D: -0.019632 Loss_G: -0.001479 Loss_D_real: -0.003163 Loss_D_fake 0.016469
[1730/5000][380/535][178625] Loss_D: -0.018305 Loss_G: -0.001398 Loss_D_real: -0.010371 Loss_D_fake 0.007933
[1730/5000][385/535][178626] Loss_D: -0.018893 Loss_G: 0.009714 Loss_D_real: -0.014312 Loss_D_fake 0.004581
[1730/5000][390/535][178627] Loss_D: -0.018710 Loss_G: 0.023535 Loss_D_real: -0.027896 Loss_D_fake -0.009185
[1730/5000][395/535][178628] Loss_D: -0.018871 Loss_G: 0.011513 Loss_D_real: -0.023819 Loss_D_fake -0.004948
[1730/5000][400/535][178629] Loss_D: -0.018281 Loss_G: 0.025986 Loss_D_real: -0.027795 Loss_D_fake -0.009514
[1730/5000][405/535][178630] Loss_D: -0.019295 Loss_G: 0.026477 Loss_D_real: -0.024591 Loss_D_fake -0.005297
[1730/5000][410/535][178631] Loss_D: -0.019845 Loss_G: 0.003882 Loss_D_real: -0.011987 Loss_D_fake 0.007857
[1730/5000][415/535][178632] Loss_D: -0.019662 Loss_G: 0.015908 Loss_D_real: -0.022661 Loss_D_fake -0.002999
[1730/5000][420/535][178633] Loss_D: -0.019779 Loss_G: 0.016896 Loss_D_real: -0.013918 Loss_D_fake 0.005862
[1730/5000][425/535][178634] Loss_D: -0.018944 Loss_G: 0.006324 Loss_D_real: -0.015712 Loss_D_fake 0.003233
[1730/5000][430/535][178635] Loss_D: -0.019115 Loss_G: 0.002544 Loss_D_real: -0.021875 Loss_D_fake -0.002760
[1730/5000][435/535][178636] Loss_D: -0.018324 Loss_G: 0.012083 Loss_D_real: -0.011053 Loss_D_fake 0.007271
[1730/5000][440/535][178637] Loss_D: -0.019866 Loss_G: 0.020830 Loss_D_real: -0.020453 Loss_D_fake -0.000587
[1730/5000][445/535][178638] Loss_D: -0.019339 Loss_G: 0.000345 Loss_D_real: -0.010735 Loss_D_fake 0.008604
[1730/5000][450/535][178639] Loss_D: -0.018631 Loss_G: 0.012840 Loss_D_real: -0.030488 Loss_D_fake -0.011857
[1730/5000][455/535][178640] Loss_D: -0.019989 Loss_G: -0.006211 Loss_D_real: -0.005662 Loss_D_fake 0.014327
[1730/5000][460/535][178641] Loss_D: -0.017512 Loss_G: 0.004014 Loss_D_real: -0.011809 Loss_D_fake 0.005703
[1730/5000][465/535][178642] Loss_D: -0.018583 Loss_G: 0.003362 Loss_D_real: -0.016307 Loss_D_fake 0.002276
[1730/5000][470/535][178643] Loss_D: -0.017056 Loss_G: 0.002188 Loss_D_real: -0.012471 Loss_D_fake 0.004584
[1730/5000][475/535][178644] Loss_D: -0.017814 Loss_G: 0.007164 Loss_D_real: -0.013558 Loss_D_fake 0.004257
[1730/5000][480/535][178645] Loss_D: -0.018956 Loss_G: 0.019549 Loss_D_real: -0.022173 Loss_D_fake -0.003217
[1730/5000][485/535][178646] Loss_D: -0.017915 Loss_G: -0.004478 Loss_D_real: -0.001281 Loss_D_fake 0.016634
[1730/5000][490/535][178647] Loss_D: -0.019368 Loss_G: -0.001239 Loss_D_real: -0.022137 Loss_D_fake -0.002769
[1730/5000][495/535][178648] Loss_D: -0.019699 Loss_G: 0.002006 Loss_D_real: -0.023407 Loss_D_fake -0.003707
[1730/5000][500/535][178649] Loss_D: -0.018066 Loss_G: 0.000586 Loss_D_real: -0.026913 Loss_D_fake -0.008847
[1730/5000][505/535][178650] Loss_D: -0.019069 Loss_G: -0.003255 Loss_D_real: -0.007487 Loss_D_fake 0.011583
[1730/5000][510/535][178651] Loss_D: -0.018866 Loss_G: -0.008520 Loss_D_real: -0.006850 Loss_D_fake 0.012016
[1730/5000][515/535][178652] Loss_D: -0.018246 Loss_G: 0.007619 Loss_D_real: -0.020430 Loss_D_fake -0.002184
[1730/5000][520/535][178653] Loss_D: -0.018358 Loss_G: 0.010551 Loss_D_real: -0.021889 Loss_D_fake -0.003531
[1730/5000][525/535][178654] Loss_D: -0.018908 Loss_G: 0.007869 Loss_D_real: -0.020610 Loss_D_fake -0.001702
[1730/5000][530/535][178655] Loss_D: -0.018831 Loss_G: 0.019753 Loss_D_real: -0.017345 Loss_D_fake 0.001486
[1730/5000][535/535][178656] Loss_D: -0.020247 Loss_G: 0.027019 Loss_D_real: -0.019582 Loss_D_fake 0.000665